From 5123507ebf0a98b7027a70d19bca2fe60186fe2a Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Mon, 23 Jan 2023 12:24:01 +0000 Subject: [PATCH 001/128] fix bug in xor; clean-up symbolic primitives --- neurallogic/hard_xor.py | 2 +- neurallogic/symbolic_primitives.py | 142 ++++++++++------------------- 2 files changed, 50 insertions(+), 94 deletions(-) diff --git a/neurallogic/hard_xor.py b/neurallogic/hard_xor.py index 2a8ab30..d99ed15 100644 --- a/neurallogic/hard_xor.py +++ b/neurallogic/hard_xor.py @@ -28,7 +28,7 @@ def soft_xor_neuron(w, x): def xor(x, y): return jax.numpy.minimum(jax.numpy.maximum(x, y), 1.0 - jax.numpy.minimum(x, y)) - x = jax.lax.reduce(x, jax.numpy.float16(0.0), xor, (0,)) + x = jax.lax.reduce(x, jax.numpy.array(0.0), xor, (0,)) return x diff --git a/neurallogic/symbolic_primitives.py b/neurallogic/symbolic_primitives.py index 47d08f4..c85241e 100644 --- a/neurallogic/symbolic_primitives.py +++ b/neurallogic/symbolic_primitives.py @@ -1,3 +1,5 @@ +from typing import Callable + import jax import jax._src.lax_reference as lax_reference import numpy @@ -19,152 +21,83 @@ def all_concrete_values(data): return True -def symbolic_not(*args, **kwargs): +def symbolic_f(concrete_f: Callable, symbolic_f_name: str, *args, **kwargs): if all_concrete_values([*args]): - return numpy.logical_not(*args, **kwargs) + return concrete_f(*args, **kwargs) else: - return symbolic_operator.symbolic_operator('numpy.logical_not', *args, **kwargs) + return symbolic_operator.symbolic_operator(symbolic_f_name, *args, **kwargs) + + +def symbolic_not(*args, **kwargs): + return symbolic_f(numpy.logical_not, 'numpy.logical_not', *args, **kwargs) def symbolic_eq(*args, **kwargs): - if all_concrete_values([*args]): - return lax_reference.eq(*args, **kwargs) - else: - return symbolic_operator.symbolic_operator('lax_reference.eq', *args, **kwargs) + return symbolic_f(lax_reference.eq, 'lax_reference.eq', *args, **kwargs) def symbolic_ne(*args, **kwargs): - if all_concrete_values([*args]): - return lax_reference.ne(*args, **kwargs) - else: - return symbolic_operator.symbolic_operator('lax_reference.ne', *args, **kwargs) + return symbolic_f(lax_reference.ne, 'lax_reference.ne', *args, **kwargs) def symbolic_le(*args, **kwargs): - if all_concrete_values([*args]): - return lax_reference.le(*args, **kwargs) - else: - return symbolic_operator.symbolic_operator('lax_reference.le', *args, **kwargs) + return symbolic_f(lax_reference.le, 'lax_reference.le', *args, **kwargs) def symbolic_lt(*args, **kwargs): - if all_concrete_values([*args]): - return lax_reference.lt(*args, **kwargs) - else: - return symbolic_operator.symbolic_operator('lax_reference.lt', *args, **kwargs) + return symbolic_f(lax_reference.lt, 'lax_reference.lt', *args, **kwargs) def symbolic_ge(*args, **kwargs): - if all_concrete_values([*args]): - return lax_reference.ge(*args, **kwargs) - else: - return symbolic_operator.symbolic_operator('lax_reference.ge', *args, **kwargs) + return symbolic_f(lax_reference.ge, 'lax_reference.ge', *args, **kwargs) def symbolic_gt(*args, **kwargs): - if all_concrete_values([*args]): - return lax_reference.gt(*args, **kwargs) - else: - return symbolic_operator.symbolic_operator('lax_reference.gt', *args, **kwargs) + return symbolic_f(lax_reference.gt, 'lax_reference.gt', *args, **kwargs) def symbolic_abs(*args, **kwargs): - if all_concrete_values([*args]): - return lax_reference.abs(*args, **kwargs) - else: - return symbolic_operator.symbolic_operator('numpy.absolute', *args, **kwargs) + return symbolic_f(lax_reference.abs, 'numpy.absolute', *args, **kwargs) def symbolic_add(*args, **kwargs): - if all_concrete_values([*args]): - return lax_reference.add(*args, **kwargs) - else: - return symbolic_operator.symbolic_operator('numpy.add', *args, **kwargs) + return symbolic_f(lax_reference.add, 'numpy.add', *args, **kwargs) def symbolic_sub(*args, **kwargs): - if all_concrete_values([*args]): - return lax_reference.sub(*args, **kwargs) - else: - return symbolic_operator.symbolic_operator('numpy.subtract', *args, **kwargs) + return symbolic_f(lax_reference.sub, 'numpy.subtract', *args, **kwargs) def symbolic_mul(*args, **kwargs): - if all_concrete_values([*args]): - return lax_reference.mul(*args, **kwargs) - else: - return symbolic_operator.symbolic_operator('numpy.multiply', *args, **kwargs) + return symbolic_f(lax_reference.mul, 'numpy.multiply', *args, **kwargs) def symbolic_div(*args, **kwargs): - if all_concrete_values([*args]): - return lax_reference.div(*args, **kwargs) - else: - return symbolic_operator.symbolic_operator('lax_reference.div', *args, **kwargs) + return symbolic_f(lax_reference.div, 'lax_reference.div', *args, **kwargs) def symbolic_max(*args, **kwargs): - if all_concrete_values([*args]): - return lax_reference.max(*args, **kwargs) - else: - r = symbolic_operator.symbolic_operator('numpy.maximum', *args, **kwargs) - return r + return symbolic_f(lax_reference.max, 'numpy.maximum', *args, **kwargs) def symbolic_min(*args, **kwargs): - if all_concrete_values([*args]): - return lax_reference.min(*args, **kwargs) - else: - return symbolic_operator.symbolic_operator('numpy.minimum', *args, **kwargs) - - -def symbolic_select_n(*args, **kwargs): - ''' - Important comment from lax.py - # Caution! The select_n_p primitive has the *opposite* order of arguments to - # select(). This is because it implements `select_n`. - ''' - pred = args[0] - on_true = args[1] - on_false = args[2] - if all_concrete_values([*args]): - # swap order of on_true and on_false - return lax_reference.select(pred, on_false, on_true) - else: - # swap order of on_true and on_false - # TODO: need a more general solution to unquoting symbolic strings - evaluable_pred = symbolic_representation.symbolic_representation(pred) - evaluable_on_true = symbolic_representation.symbolic_representation(on_true) - evaluable_on_false = symbolic_representation.symbolic_representation(on_false) - return f'lax_reference.select({evaluable_pred}, {evaluable_on_false}, {evaluable_on_true})' + return symbolic_f(lax_reference.min, 'numpy.minimum', *args, **kwargs) def symbolic_and(*args, **kwargs): - if all_concrete_values([*args]): - return numpy.logical_and(*args, **kwargs) - else: - return symbolic_operator.symbolic_operator('numpy.logical_and', *args, **kwargs) + return symbolic_f(numpy.logical_and, 'numpy.logical_and', *args, **kwargs) def symbolic_or(*args, **kwargs): - if all_concrete_values([*args]): - return numpy.logical_or(*args, **kwargs) - else: - return symbolic_operator.symbolic_operator('numpy.logical_or', *args, **kwargs) + return symbolic_f(numpy.logical_or, 'numpy.logical_or', *args, **kwargs) def symbolic_xor(*args, **kwargs): - if all_concrete_values([*args]): - return numpy.logical_xor(*args, **kwargs) - else: - return symbolic_operator.symbolic_operator('numpy.logical_xor', *args, **kwargs) + return symbolic_f(numpy.logical_xor, 'numpy.logical_xor', *args, **kwargs) def symbolic_sum(*args, **kwargs): - if all_concrete_values([*args]): - return lax_reference.sum(*args, **kwargs) - else: - return symbolic_operator.symbolic_operator('lax_reference.sum', *args, **kwargs) + return symbolic_f(lax_reference.sum, 'lax_reference.sum', *args, **kwargs) def symbolic_broadcast_in_dim(*args, **kwargs): @@ -194,6 +127,29 @@ def convert_element_type(x, dtype): return convert_element_type(*args, dtype=kwargs['new_dtype']) +def symbolic_select_n(*args, **kwargs): + ''' + Important comment from lax.py + # Caution! The select_n_p primitive has the *opposite* order of arguments to + # select(). This is because it implements `select_n`. + ''' + pred = args[0] + on_true = args[1] + on_false = args[2] + if all_concrete_values([*args]): + # swap order of on_true and on_false + return lax_reference.select(pred, on_false, on_true) + else: + # swap order of on_true and on_false + # TODO: need a more general solution to unquoting symbolic strings + evaluable_pred = symbolic_representation.symbolic_representation(pred) + evaluable_on_true = symbolic_representation.symbolic_representation( + on_true) + evaluable_on_false = symbolic_representation.symbolic_representation( + on_false) + return f'lax_reference.select({evaluable_pred}, {evaluable_on_false}, {evaluable_on_true})' + + def make_symbolic_reducer(py_binop, init_val): # This function is a hack to get around the fact that JAX doesn't # support symbolic reduction operations. It takes a symbolic reduction From 7d5f635606000efea2bc0c3d9b228bf707a8ebce Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Tue, 24 Jan 2023 12:06:27 +0000 Subject: [PATCH 002/128] symbolic version of majority, plus additonal tests --- neurallogic/hard_majority.py | 40 +++++++++++++++++++++--- neurallogic/hard_or.py | 2 +- neurallogic/hard_xor.py | 8 ++--- neurallogic/harden.py | 8 +++-- neurallogic/map_at_elements.py | 6 +++- neurallogic/neural_logic_net.py | 1 + neurallogic/symbolic_generation.py | 13 ++++---- neurallogic/symbolic_operator.py | 5 +++ neurallogic/symbolic_primitives.py | 45 ++++++++++++++------------- tests/test_hard_majority.py | 24 +++++++------- tests/test_mnist.py | 26 ++++++---------- tests/test_symbolic_generation.py | 50 +++++++++++++----------------- tests/utils.py | 2 +- 13 files changed, 133 insertions(+), 97 deletions(-) diff --git a/neurallogic/hard_majority.py b/neurallogic/hard_majority.py index 7d91121..9aba0b8 100644 --- a/neurallogic/hard_majority.py +++ b/neurallogic/hard_majority.py @@ -1,6 +1,7 @@ import jax +from flax import linen as nn -from neurallogic import neural_logic_net +from neurallogic import neural_logic_net, symbolic_generation def majority_index(input_size: int) -> int: @@ -23,9 +24,40 @@ def hard_majority(x: jax.numpy.array) -> bool: hard_majority_layer = jax.vmap(hard_majority, in_axes=0) -def symbolic_majority_layer(x): - return hard_majority_layer(x) +class SoftMajorityLayer(nn.Module): + """ + A soft-bit MAJORITY layer than transforms its inputs along the last dimension. + + Attributes: + layer_size: The number of neurons in the layer. + weights_init: The initializer function for the weight matrix. + """ + dtype: jax.numpy.dtype = jax.numpy.float32 + + @nn.compact + def __call__(self, x): + x = jax.numpy.asarray(x, self.dtype) # TODO: remove me? + return soft_majority_layer(x) + + +class HardMajorityLayer(nn.Module): + @nn.compact + def __call__(self, x): + return hard_majority_layer(x) + + +class SymbolicMajorityLayer: + def __init__(self): + self.hard_majority_layer = HardMajorityLayer() + + def __call__(self, x): + jaxpr = symbolic_generation.make_symbolic_flax_jaxpr( + self.hard_majority_layer, x) + return symbolic_generation.symbolic_expression(jaxpr, x) majority_layer = neural_logic_net.select( - soft_majority_layer, hard_majority_layer, symbolic_majority_layer) + lambda dtype=jax.numpy.float32: SoftMajorityLayer(dtype), + lambda dtype=jax.numpy.float32: HardMajorityLayer(), + lambda dtype=jax.numpy.float32: SymbolicMajorityLayer() +) diff --git a/neurallogic/hard_or.py b/neurallogic/hard_or.py index 574644f..119b909 100644 --- a/neurallogic/hard_or.py +++ b/neurallogic/hard_or.py @@ -61,7 +61,7 @@ def __call__(self, x): weights_shape = (self.layer_size, jax.numpy.shape(x)[-1]) weights = self.param( 'bit_weights', self.weights_init, weights_shape, self.dtype) - x = jax.numpy.asarray(x, self.dtype) + x = jax.numpy.asarray(x, self.dtype) # TODO: remove me? return soft_or_layer(weights, x) diff --git a/neurallogic/hard_xor.py b/neurallogic/hard_xor.py index d99ed15..1b86587 100644 --- a/neurallogic/hard_xor.py +++ b/neurallogic/hard_xor.py @@ -28,7 +28,7 @@ def soft_xor_neuron(w, x): def xor(x, y): return jax.numpy.minimum(jax.numpy.maximum(x, y), 1.0 - jax.numpy.minimum(x, y)) - x = jax.lax.reduce(x, jax.numpy.array(0.0), xor, (0,)) + x = jax.lax.reduce(x, jax.numpy.array(0, dtype=x.dtype), xor, (0,)) return x @@ -39,13 +39,13 @@ def hard_xor_neuron(w, x): soft_xor_layer = jax.vmap(soft_xor_neuron, (0, None), 0) + hard_xor_layer = jax.vmap(hard_xor_neuron, (0, None), 0) class SoftXorLayer(nn.Module): layer_size: int - weights_init: Callable = nn.initializers.uniform( - 1.0) # TODO: investigate better initialization + weights_init: Callable = nn.initializers.uniform(1.0) dtype: jax.numpy.dtype = jax.numpy.float32 @nn.compact @@ -53,7 +53,7 @@ def __call__(self, x): weights_shape = (self.layer_size, jax.numpy.shape(x)[-1]) weights = self.param( 'bit_weights', self.weights_init, weights_shape, self.dtype) - x = jax.numpy.asarray(x, self.dtype) + x = jax.numpy.asarray(x, self.dtype) # TODO is this needed? return soft_xor_layer(weights, x) diff --git a/neurallogic/harden.py b/neurallogic/harden.py index 099fbf2..00c2321 100644 --- a/neurallogic/harden.py +++ b/neurallogic/harden.py @@ -62,12 +62,16 @@ def harden(x: flax.core.FrozenDict): return harden(x.unfreeze()) +""" @dispatch def harden(*args): if len(args) == 1: - return harden(args[0]) + print(f'args = {args} of type {type(args)}') + arg = args[0] + print(f'args[0] = {arg}') + return tuple(harden(arg)) return tuple([harden(arg) for arg in args]) - +""" @dispatch def map_keys_nested(f, d: dict) -> dict: diff --git a/neurallogic/map_at_elements.py b/neurallogic/map_at_elements.py index f4698df..9a81450 100644 --- a/neurallogic/map_at_elements.py +++ b/neurallogic/map_at_elements.py @@ -30,6 +30,11 @@ def map_at_elements(x: numpy.float32, func: typing.Callable): return func(x) +@dispatch +def map_at_elements(x: numpy.int32, func: typing.Callable): + return func(x) + + @dispatch def map_at_elements(x: list, func: typing.Callable): return [map_at_elements(item, func) for item in x] @@ -55,4 +60,3 @@ def map_at_elements(x: dict, func: typing.Callable): @dispatch def map_at_elements(x: tuple, func: typing.Callable): return tuple(map_at_elements(list(x), func)) - diff --git a/neurallogic/neural_logic_net.py b/neurallogic/neural_logic_net.py index e74f92c..b18a5c1 100644 --- a/neurallogic/neural_logic_net.py +++ b/neurallogic/neural_logic_net.py @@ -1,5 +1,6 @@ from enum import Enum from flax import linen as nn +from neurallogic import symbolic_generation NetType = Enum('NetType', ['Soft', 'Hard', 'Symbolic']) diff --git a/neurallogic/symbolic_generation.py b/neurallogic/symbolic_generation.py index 4b4440c..ea26d57 100644 --- a/neurallogic/symbolic_generation.py +++ b/neurallogic/symbolic_generation.py @@ -100,6 +100,7 @@ def make_symbolic_flax_jaxpr(flax_layer, x): return jaxpr + def eval_jaxpr(symbolic, jaxpr, consts, *args): '''Evaluates a jaxpr by interpreting it as Python code. @@ -212,15 +213,15 @@ def eval_jaxpr_impl(jaxpr): def make_symbolic_jaxpr(func: typing.Callable, *args): return jax.make_jaxpr(lambda *args: func(*args))(*args) - -def eval_symbolic(symbolic_function, *args): - if hasattr(symbolic_function, 'literals'): +# TODO: better name +def eval_symbolic(jaxpr, *args): + if hasattr(jaxpr, 'literals'): return eval_jaxpr( - False, symbolic_function.jaxpr, symbolic_function.literals, *args + False, jaxpr.jaxpr, jaxpr.literals, *args ) - return eval_jaxpr(False, symbolic_function.jaxpr, [], *args) - + return eval_jaxpr(False, jaxpr.jaxpr, [], *args) +# TODO: better name def symbolic_expression(jaxpr, *args): if hasattr(jaxpr, 'literals'): sym_expr = eval_jaxpr(True, jaxpr.jaxpr, jaxpr.literals, *args) diff --git a/neurallogic/symbolic_operator.py b/neurallogic/symbolic_operator.py index 9960004..64de92b 100644 --- a/neurallogic/symbolic_operator.py +++ b/neurallogic/symbolic_operator.py @@ -63,6 +63,11 @@ def symbolic_operator(operator: str, x: str, y: int): return symbolic_operator(operator, x, str(y)) +@dispatch +def symbolic_operator(operator: str, x: tuple): + return symbolic_operator(operator, str(x)) + + @dispatch def symbolic_operator(operator: str, x: list, y: numpy.ndarray): return numpy.vectorize(symbolic_operator, otypes=[object])(operator, x, y) diff --git a/neurallogic/symbolic_primitives.py b/neurallogic/symbolic_primitives.py index c85241e..9505905 100644 --- a/neurallogic/symbolic_primitives.py +++ b/neurallogic/symbolic_primitives.py @@ -21,83 +21,86 @@ def all_concrete_values(data): return True -def symbolic_f(concrete_f: Callable, symbolic_f_name: str, *args, **kwargs): +def symbolic(concrete_function: Callable, symbolic_function: str, *args, **kwargs): if all_concrete_values([*args]): - return concrete_f(*args, **kwargs) + # We can directly evaluate the function + return concrete_function(*args, **kwargs) else: - return symbolic_operator.symbolic_operator(symbolic_f_name, *args, **kwargs) + # We need to return a symbolic representation + return symbolic_operator.symbolic_operator(symbolic_function, *args, **kwargs) def symbolic_not(*args, **kwargs): - return symbolic_f(numpy.logical_not, 'numpy.logical_not', *args, **kwargs) + return symbolic(numpy.logical_not, 'numpy.logical_not', *args, **kwargs) def symbolic_eq(*args, **kwargs): - return symbolic_f(lax_reference.eq, 'lax_reference.eq', *args, **kwargs) + return symbolic(lax_reference.eq, 'lax_reference.eq', *args, **kwargs) def symbolic_ne(*args, **kwargs): - return symbolic_f(lax_reference.ne, 'lax_reference.ne', *args, **kwargs) + return symbolic(lax_reference.ne, 'lax_reference.ne', *args, **kwargs) def symbolic_le(*args, **kwargs): - return symbolic_f(lax_reference.le, 'lax_reference.le', *args, **kwargs) + return symbolic(lax_reference.le, 'lax_reference.le', *args, **kwargs) def symbolic_lt(*args, **kwargs): - return symbolic_f(lax_reference.lt, 'lax_reference.lt', *args, **kwargs) + return symbolic(lax_reference.lt, 'lax_reference.lt', *args, **kwargs) def symbolic_ge(*args, **kwargs): - return symbolic_f(lax_reference.ge, 'lax_reference.ge', *args, **kwargs) + return symbolic(lax_reference.ge, 'lax_reference.ge', *args, **kwargs) def symbolic_gt(*args, **kwargs): - return symbolic_f(lax_reference.gt, 'lax_reference.gt', *args, **kwargs) + return symbolic(lax_reference.gt, 'lax_reference.gt', *args, **kwargs) def symbolic_abs(*args, **kwargs): - return symbolic_f(lax_reference.abs, 'numpy.absolute', *args, **kwargs) + return symbolic(lax_reference.abs, 'numpy.absolute', *args, **kwargs) def symbolic_add(*args, **kwargs): - return symbolic_f(lax_reference.add, 'numpy.add', *args, **kwargs) + return symbolic(lax_reference.add, 'numpy.add', *args, **kwargs) def symbolic_sub(*args, **kwargs): - return symbolic_f(lax_reference.sub, 'numpy.subtract', *args, **kwargs) + return symbolic(lax_reference.sub, 'numpy.subtract', *args, **kwargs) def symbolic_mul(*args, **kwargs): - return symbolic_f(lax_reference.mul, 'numpy.multiply', *args, **kwargs) + return symbolic(lax_reference.mul, 'numpy.multiply', *args, **kwargs) def symbolic_div(*args, **kwargs): - return symbolic_f(lax_reference.div, 'lax_reference.div', *args, **kwargs) + return symbolic(lax_reference.div, 'lax_reference.div', *args, **kwargs) def symbolic_max(*args, **kwargs): - return symbolic_f(lax_reference.max, 'numpy.maximum', *args, **kwargs) + return symbolic(lax_reference.max, 'numpy.maximum', *args, **kwargs) def symbolic_min(*args, **kwargs): - return symbolic_f(lax_reference.min, 'numpy.minimum', *args, **kwargs) + return symbolic(lax_reference.min, 'numpy.minimum', *args, **kwargs) def symbolic_and(*args, **kwargs): - return symbolic_f(numpy.logical_and, 'numpy.logical_and', *args, **kwargs) + return symbolic(numpy.logical_and, 'numpy.logical_and', *args, **kwargs) def symbolic_or(*args, **kwargs): - return symbolic_f(numpy.logical_or, 'numpy.logical_or', *args, **kwargs) + return symbolic(numpy.logical_or, 'numpy.logical_or', *args, **kwargs) def symbolic_xor(*args, **kwargs): - return symbolic_f(numpy.logical_xor, 'numpy.logical_xor', *args, **kwargs) + return symbolic(numpy.logical_xor, 'numpy.logical_xor', *args, **kwargs) def symbolic_sum(*args, **kwargs): - return symbolic_f(lax_reference.sum, 'lax_reference.sum', *args, **kwargs) + # N.B. We pass the tuple directly because we're summing over all args + return symbolic(lax_reference.sum, 'lax_reference.sum', args, **kwargs) def symbolic_broadcast_in_dim(*args, **kwargs): diff --git a/tests/test_hard_majority.py b/tests/test_hard_majority.py index fc47b41..77b9f7a 100644 --- a/tests/test_hard_majority.py +++ b/tests/test_hard_majority.py @@ -2,6 +2,7 @@ import jax from neurallogic import hard_majority, harden, symbolic_generation +from tests import utils def test_majority_index(): @@ -126,9 +127,7 @@ def test_hard_majority_layer(): False, True, False, True, False, True], [False, True, False, True, False, True]])) == numpy.array([False, False, False])) -def test_majority_layer(): - soft, hard, symbolic = hard_majority.soft_majority_layer, hard_majority.hard_majority_layer, hard_majority.symbolic_majority_layer - +def test_layer(): test_data = [ [ [[0.8, 0.1, 0.4], [1.0, 0.0, 0.3]], @@ -151,16 +150,15 @@ def test_majority_layer(): [0.3, 0.1, 0.2, 0.3, 0.0] ] ] - + for input, expected in test_data: - input = jax.numpy.array(input) - expected = jax.numpy.array(expected) - soft_output = soft(input) - assert jax.numpy.array_equal(soft_output, expected) - hard_output = hard(harden.harden(input)) - assert jax.numpy.array_equal(hard_output, harden.harden(expected)) - jaxpr = symbolic_generation.make_symbolic_jaxpr(symbolic, harden.harden(input)) - symbolic_output = symbolic_generation.symbolic_expression(jaxpr, harden.harden(input)) - assert jax.numpy.array_equal(symbolic_output, harden.harden(expected)) + def soft(input): + return hard_majority.soft_majority_layer(input) + + def hard(input): + return hard_majority.hard_majority_layer(input) + + utils.check_consistency(soft, hard, jax.numpy.array(expected), jax.numpy.array(input)) + # TODO: test training the hard majority layer \ No newline at end of file diff --git a/tests/test_mnist.py b/tests/test_mnist.py index b2803cd..c371718 100644 --- a/tests/test_mnist.py +++ b/tests/test_mnist.py @@ -13,7 +13,7 @@ from matplotlib import pyplot as plt from tqdm import tqdm -from neurallogic import (hard_and, hard_majority, hard_not, hard_or, harden, +from neurallogic import (hard_and, hard_majority, hard_not, hard_or, hard_xor, harden, harden_layer, neural_logic_net, real_encoder) # Uncomment to debug NaNs @@ -44,26 +44,20 @@ def nln(type, x, width): return x """ -def nln(type, x, width): - my_width = 600 - not_size = 5 - #majority_size = 3 +def nln(type, x): num_classes = 10 - x = hard_or.or_layer(type)(my_width, nn.initializers.uniform(1.0), dtype=jax.numpy.float16)(x) # width number of or neurons - x = hard_and.and_layer(type)(int(my_width), dtype=jax.numpy.float16)(x) - x = hard_not.not_layer(type)(not_size, dtype=jax.numpy.float16)(x) - x = x.ravel() - #x = x.reshape((int(width * not_size / majority_size), majority_size)) - #x = hard_majority.majority_layer(type)(x) + x = hard_or.or_layer(type)(1000, nn.initializers.uniform(1.0), dtype=jax.numpy.float16)(x) + x = hard_not.not_layer(type)(num_classes)(x) + x = x.ravel() x = harden_layer.harden_layer(type)(x) x = x.reshape((num_classes, int(x.shape[0] / num_classes))) x = x.sum(-1) return x -def batch_nln(type, x, width): - return jax.vmap(lambda x: nln(type, x, width))(x) +def batch_nln(type, x): + return jax.vmap(lambda x: nln(type, x))(x) class CNN(nn.Module): @@ -305,8 +299,8 @@ def test_mnist(): # Define the model. # soft = CNN() - width = 800 - soft, hard, _ = neural_logic_net.net(lambda type, x: batch_nln(type, x, width)) + # width = 800 + soft, hard, _ = neural_logic_net.net(lambda type, x: batch_nln(type, x)) # Get the MNIST dataset. train_ds, test_ds = get_datasets() @@ -324,5 +318,5 @@ def test_mnist(): ) # Check symbolic net - #_, hard, symbolic = neural_logic_net.net(lambda type, x: nln(type, x, width)) + #_, hard, symbolic = neural_logic_net.net(lambda type, x: nln(type, x)) #check_symbolic((soft, hard, symbolic), (train_ds, test_ds), trained_state) diff --git a/tests/test_symbolic_generation.py b/tests/test_symbolic_generation.py index 0972b2e..634037a 100644 --- a/tests/test_symbolic_generation.py +++ b/tests/test_symbolic_generation.py @@ -1,32 +1,28 @@ +import flax import jax import jax.numpy as jnp import numpy -from neurallogic import (hard_not, hard_or, harden, harden_layer, - neural_logic_net, symbolic_generation, - symbolic_primitives) -from tests import test_mnist, utils +from neurallogic import (hard_and, hard_majority, hard_not, hard_or, hard_xor, + harden, harden_layer, neural_logic_net, + symbolic_generation) +from tests import utils def nln(type, x, width): + # TODO: test real_encoder layer x = hard_or.or_layer(type)(width)(x) - x = hard_not.not_layer(type)(10)(x) - x = x.ravel() + x = hard_and.and_layer(type)(width)(x) + x = hard_xor.xor_layer(type)(width)(x) + x = hard_not.not_layer(type)(2)(x) + x = hard_majority.majority_layer(type)()(x) x = harden_layer.harden_layer(type)(x) - x = x.reshape((10, width)) + x = x.reshape([2, 1]) x = x.sum(-1) return x def test_symbolic_generation(): - # Get MNIST dataset - train_ds, test_ds = test_mnist.get_datasets() - # Flatten images - train_ds["image"] = jnp.reshape( - train_ds["image"], (train_ds["image"].shape[0], -1)) - test_ds["image"] = jnp.reshape( - test_ds["image"], (test_ds["image"].shape[0], -1)) - # Define width of network width = 2 # Define the neural logic net @@ -34,27 +30,25 @@ def test_symbolic_generation(): lambda type, x: nln(type, x, width)) # Initialize a random number generator rng = jax.random.PRNGKey(0) - rng, init_rng = jax.random.split(rng) - mock_input = harden.harden(jnp.ones([28 * 28])) + #rng, init_rng = jax.random.split(rng) + mock_input = harden.harden(jnp.ones([2 * 2])) # Initialize the weights of the neural logic net - hard_weights = harden.hard_weights(soft.init(rng, mock_input)) - # Define a hard mock input - hard_mock_input = harden.harden(test_ds['image'][0]) + soft_weights = soft.init(rng, mock_input) + hard_weights = harden.hard_weights(soft_weights) # Apply the neural logic net to the hard input - hard_output = hard.apply(hard_weights, hard_mock_input) + hard_output = hard.apply(hard_weights, mock_input) # Check the standard evaluation of the network equals the non-standard evaluation - symbolic_output = symbolic.apply(hard_weights, hard_mock_input) + symbolic_weights = harden.hard_weights(soft_weights) + symbolic_output = symbolic.apply(symbolic_weights, mock_input) assert numpy.array_equal(symbolic_output, hard_output) # Check the standard evaluation of the network equals the non-standard symbolic evaluation - symbolic_mock_input = utils.make_symbolic(hard_mock_input) - symbolic_output = symbolic.apply(hard_weights, symbolic_mock_input) + symbolic_mock_input = utils.make_symbolic(mock_input) + symbolic_output = symbolic.apply(symbolic_weights, symbolic_mock_input) assert numpy.array_equal(hard_output.shape, symbolic_output.shape) # Compute the symbolic expression, i.e. perform the actual operations in the symbolic expression - #print(f'symbolic_output: {symbolic_output}') - # TODO: We cannot evaluate the symbolic expression because it has too many nested parantheses - #eval_symbolic_output = symbolic_generation.eval_symbolic_expression(symbolic_output) + eval_symbolic_output = symbolic_generation.eval_symbolic_expression(symbolic_output) # If this assertion succeeds then the non-standard symbolic evaluation of the jaxpr is is identical to the standard evaluation of network - #assert numpy.array_equal(hard_output, eval_symbolic_output) + assert numpy.array_equal(hard_output, eval_symbolic_output) diff --git a/tests/utils.py b/tests/utils.py index 58e01ec..602b8ea 100644 --- a/tests/utils.py +++ b/tests/utils.py @@ -79,7 +79,7 @@ def check_consistency(soft: Callable, hard: Callable, expected, *args): assert numpy.allclose(soft_output, expected, equal_nan=True) # Check that the hard function performs as expected - hard_args = harden.harden(*args) + hard_args = tuple([harden.harden(arg) for arg in args]) hard_expected = harden.harden(expected) hard_output = hard(*hard_args) #print(f'Expected: {hard_expected}, Actual hard_output: {hard_output}') From f4ee2f8fb6f1c846384f5f8cf1370fdd5b0f238d Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Tue, 24 Jan 2023 12:14:37 +0000 Subject: [PATCH 003/128] cleanup --- neurallogic/hard_majority.py | 9 +++------ neurallogic/hard_not.py | 1 - neurallogic/hard_or.py | 2 +- neurallogic/hard_xor.py | 2 +- neurallogic/harden.py | 11 ----------- neurallogic/neural_logic_net.py | 1 - 6 files changed, 5 insertions(+), 21 deletions(-) diff --git a/neurallogic/hard_majority.py b/neurallogic/hard_majority.py index 9aba0b8..6c61eb2 100644 --- a/neurallogic/hard_majority.py +++ b/neurallogic/hard_majority.py @@ -32,11 +32,8 @@ class SoftMajorityLayer(nn.Module): layer_size: The number of neurons in the layer. weights_init: The initializer function for the weight matrix. """ - dtype: jax.numpy.dtype = jax.numpy.float32 - @nn.compact def __call__(self, x): - x = jax.numpy.asarray(x, self.dtype) # TODO: remove me? return soft_majority_layer(x) @@ -57,7 +54,7 @@ def __call__(self, x): majority_layer = neural_logic_net.select( - lambda dtype=jax.numpy.float32: SoftMajorityLayer(dtype), - lambda dtype=jax.numpy.float32: HardMajorityLayer(), - lambda dtype=jax.numpy.float32: SymbolicMajorityLayer() + lambda: SoftMajorityLayer(), + lambda: HardMajorityLayer(), + lambda: SymbolicMajorityLayer() ) diff --git a/neurallogic/hard_not.py b/neurallogic/hard_not.py index 7466e17..3c2da45 100644 --- a/neurallogic/hard_not.py +++ b/neurallogic/hard_not.py @@ -19,7 +19,6 @@ def soft_not(w: float, x: float) -> float: def hard_not(w: bool, x: bool) -> bool: - # ~(x ^ w) return jax.numpy.logical_not(jax.numpy.logical_xor(x, w)) diff --git a/neurallogic/hard_or.py b/neurallogic/hard_or.py index 119b909..f9d2f18 100644 --- a/neurallogic/hard_or.py +++ b/neurallogic/hard_or.py @@ -61,7 +61,7 @@ def __call__(self, x): weights_shape = (self.layer_size, jax.numpy.shape(x)[-1]) weights = self.param( 'bit_weights', self.weights_init, weights_shape, self.dtype) - x = jax.numpy.asarray(x, self.dtype) # TODO: remove me? + x = jax.numpy.asarray(x, self.dtype) return soft_or_layer(weights, x) diff --git a/neurallogic/hard_xor.py b/neurallogic/hard_xor.py index 1b86587..4765188 100644 --- a/neurallogic/hard_xor.py +++ b/neurallogic/hard_xor.py @@ -53,7 +53,7 @@ def __call__(self, x): weights_shape = (self.layer_size, jax.numpy.shape(x)[-1]) weights = self.param( 'bit_weights', self.weights_init, weights_shape, self.dtype) - x = jax.numpy.asarray(x, self.dtype) # TODO is this needed? + x = jax.numpy.asarray(x, self.dtype) return soft_xor_layer(weights, x) diff --git a/neurallogic/harden.py b/neurallogic/harden.py index 00c2321..e25f5d8 100644 --- a/neurallogic/harden.py +++ b/neurallogic/harden.py @@ -62,17 +62,6 @@ def harden(x: flax.core.FrozenDict): return harden(x.unfreeze()) -""" -@dispatch -def harden(*args): - if len(args) == 1: - print(f'args = {args} of type {type(args)}') - arg = args[0] - print(f'args[0] = {arg}') - return tuple(harden(arg)) - return tuple([harden(arg) for arg in args]) -""" - @dispatch def map_keys_nested(f, d: dict) -> dict: return { diff --git a/neurallogic/neural_logic_net.py b/neurallogic/neural_logic_net.py index b18a5c1..e74f92c 100644 --- a/neurallogic/neural_logic_net.py +++ b/neurallogic/neural_logic_net.py @@ -1,6 +1,5 @@ from enum import Enum from flax import linen as nn -from neurallogic import symbolic_generation NetType = Enum('NetType', ['Soft', 'Hard', 'Symbolic']) From b2066db5fe364a7405518211aa566eceff792078 Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Thu, 26 Jan 2023 10:13:31 +0000 Subject: [PATCH 004/128] document problem with select_n --- neurallogic/real_encoder.py | 8 ++--- neurallogic/symbolic_operator.py | 16 ++++++---- neurallogic/symbolic_primitives.py | 41 +++++++++++++++++++++----- neurallogic/symbolic_representation.py | 1 + tests/test_mnist.py | 13 ++++---- tests/test_real_encoder.py | 23 ++++++++++----- tests/test_symbolic_generation.py | 7 +++-- 7 files changed, 76 insertions(+), 33 deletions(-) diff --git a/neurallogic/real_encoder.py b/neurallogic/real_encoder.py index 8ec422b..32024b4 100644 --- a/neurallogic/real_encoder.py +++ b/neurallogic/real_encoder.py @@ -5,22 +5,22 @@ from neurallogic import neural_logic_net, symbolic_generation -# TODO: perhaps this can be simplified with a simple multiplication? # TODO: implement a soft_real_decoder that can perhaps replace the port count approach + def soft_real_encoder(t: float, x: float) -> float: eps = 0.0000001 # x should be in [0, 1] - t = jax.numpy.clip(t, 0.0, 1.0) + t = jax.numpy.clip(t, 0, 1) return jax.numpy.where( jax.numpy.isclose(t, x), 0.5, # t != x jax.numpy.where( x < t, - (1.0 / (2.0 * t + eps)) * x, + (x / (2 * t + eps)), # x > t - (1.0 / (2.0 * (1.0 - t) + eps)) * (x + 1.0 - 2.0 * t) + (x + 1 - 2 * t) / (2 * (1 - t) + eps) ) ) diff --git a/neurallogic/symbolic_operator.py b/neurallogic/symbolic_operator.py index 64de92b..54c7694 100644 --- a/neurallogic/symbolic_operator.py +++ b/neurallogic/symbolic_operator.py @@ -8,11 +8,21 @@ def symbolic_operator(operator: str, x: str) -> str: return f'{operator}({x})'.replace('\'', '') +@dispatch +def symbolic_operator(operator: str, x: str, y: str): + return f'{operator}({x}, {y})'.replace('\'', '') + + @dispatch def symbolic_operator(operator: str, x: float, y: str): return symbolic_operator(operator, str(x), y) +@dispatch +def symbolic_operator(operator: str, x: int, y: str): + return symbolic_operator(operator, str(x), y) + + @dispatch def symbolic_operator(operator: str, x: str, y: float): return symbolic_operator(operator, x, str(y)) @@ -28,11 +38,6 @@ def symbolic_operator(operator: str, x: numpy.ndarray, y: numpy.ndarray): return numpy.vectorize(symbolic_operator, otypes=[object])(operator, x, y) -@dispatch -def symbolic_operator(operator: str, x: str, y: str): - return f'{operator}({x}, {y})'.replace('\'', '') - - @dispatch def symbolic_operator(operator: str, x: numpy.ndarray, y: float): return numpy.vectorize(symbolic_operator, otypes=[object])(operator, x, y) @@ -86,4 +91,3 @@ def symbolic_operator(operator: str, x: numpy.ndarray): @dispatch def symbolic_operator(operator: str, x: list): return symbolic_operator(operator, numpy.array(x)) - diff --git a/neurallogic/symbolic_primitives.py b/neurallogic/symbolic_primitives.py index 9505905..0d2a79a 100644 --- a/neurallogic/symbolic_primitives.py +++ b/neurallogic/symbolic_primitives.py @@ -2,6 +2,7 @@ import jax import jax._src.lax_reference as lax_reference +import jax._src.lax.lax as lax import numpy from neurallogic import symbolic_operator, symbolic_representation @@ -59,31 +60,54 @@ def symbolic_gt(*args, **kwargs): def symbolic_abs(*args, **kwargs): - return symbolic(lax_reference.abs, 'numpy.absolute', *args, **kwargs) + return symbolic(lax_reference.abs, 'lax_reference.abs', *args, **kwargs) + + +def symbolic_floor(*args, **kwargs): + return symbolic(lax_reference.floor, 'lax_reference.floor', *args, **kwargs) + + +def symbolic_ceil(*args, **kwargs): + return symbolic(lax_reference.ceil, 'lax_reference.ceil', *args, **kwargs) + + +def symbolic_round(*args, **kwargs): + # The reference implementation only supports away from zero + if kwargs['rounding_method'] == lax.RoundingMethod.AWAY_FROM_ZERO: + return symbolic(lax_reference.round, 'lax_reference.round', *args) + elif kwargs['rounding_method'] == lax.RoundingMethod.TO_NEAREST_EVEN: + return symbolic(numpy.around, 'numpy.around', *args) + else: + raise NotImplementedError( + f'rounding_method {str(kwargs["rounding_method"])} not implemented') def symbolic_add(*args, **kwargs): - return symbolic(lax_reference.add, 'numpy.add', *args, **kwargs) + return symbolic(lax_reference.add, 'lax_reference.add', *args, **kwargs) def symbolic_sub(*args, **kwargs): - return symbolic(lax_reference.sub, 'numpy.subtract', *args, **kwargs) + return symbolic(lax_reference.sub, 'lax_reference.sub', *args, **kwargs) def symbolic_mul(*args, **kwargs): - return symbolic(lax_reference.mul, 'numpy.multiply', *args, **kwargs) + return symbolic(lax_reference.mul, 'lax_reference.mul', *args, **kwargs) def symbolic_div(*args, **kwargs): return symbolic(lax_reference.div, 'lax_reference.div', *args, **kwargs) +def symbolic_tan(*args, **kwargs): + return symbolic(lax_reference.tan, 'lax_reference.tan', *args, **kwargs) + + def symbolic_max(*args, **kwargs): - return symbolic(lax_reference.max, 'numpy.maximum', *args, **kwargs) + return symbolic(lax_reference.max, 'lax_reference.max', *args, **kwargs) def symbolic_min(*args, **kwargs): - return symbolic(lax_reference.min, 'numpy.minimum', *args, **kwargs) + return symbolic(lax_reference.min, 'lax_reference.min', *args, **kwargs) def symbolic_and(*args, **kwargs): @@ -143,8 +167,11 @@ def symbolic_select_n(*args, **kwargs): # swap order of on_true and on_false return lax_reference.select(pred, on_false, on_true) else: + # TODO: to retain tensor structure we need to push down the select to the + # lowest level of the symbolic expression tree. This is not currently + # implemented. + print('WARNING: symbolic_select_n is not fully implemented. This may not work as expected.') # swap order of on_true and on_false - # TODO: need a more general solution to unquoting symbolic strings evaluable_pred = symbolic_representation.symbolic_representation(pred) evaluable_on_true = symbolic_representation.symbolic_representation( on_true) diff --git a/neurallogic/symbolic_representation.py b/neurallogic/symbolic_representation.py index 35595b2..98b09c1 100644 --- a/neurallogic/symbolic_representation.py +++ b/neurallogic/symbolic_representation.py @@ -1,6 +1,7 @@ import numpy from plum import dispatch +# TODO: need a more general solution to unquoting symbolic strings @dispatch def symbolic_representation(x: numpy.ndarray): diff --git a/tests/test_mnist.py b/tests/test_mnist.py index c371718..971b436 100644 --- a/tests/test_mnist.py +++ b/tests/test_mnist.py @@ -47,8 +47,8 @@ def nln(type, x, width): def nln(type, x): num_classes = 10 - x = hard_or.or_layer(type)(1000, nn.initializers.uniform(1.0), dtype=jax.numpy.float16)(x) - x = hard_not.not_layer(type)(num_classes)(x) + x = hard_or.or_layer(type)(1800, nn.initializers.uniform(1.0), dtype=jax.numpy.float16)(x) + x = hard_not.not_layer(type)(1, dtype=jax.numpy.float16)(x) x = x.ravel() x = harden_layer.harden_layer(type)(x) x = x.reshape((num_classes, int(x.shape[0] / num_classes))) @@ -128,13 +128,14 @@ def get_datasets(): ds_builder.download_and_prepare() train_ds = tfds.as_numpy(ds_builder.as_dataset(split="train", batch_size=-1)) test_ds = tfds.as_numpy(ds_builder.as_dataset(split="test", batch_size=-1)) - train_ds["image"] = jnp.float32(train_ds["image"]) / 255.0 - test_ds["image"] = jnp.float32(test_ds["image"]) / 255.0 + # XXXX + train_ds["image"] = (jnp.float32(train_ds["image"]) / 255.0) + test_ds["image"] = (jnp.float32(test_ds["image"]) / 255.0) # TODO: we don't need to do this even when we don't use the real encoder # Use grayscale information # Convert the floating point values in [0,1] to binary values in {0,1} - train_ds["image"] = jnp.round(train_ds["image"]) - test_ds["image"] = jnp.round(test_ds["image"]) + #train_ds["image"] = jnp.round(train_ds["image"]) + #test_ds["image"] = jnp.round(test_ds["image"]) return train_ds, test_ds diff --git a/tests/test_real_encoder.py b/tests/test_real_encoder.py index d653547..ce67102 100644 --- a/tests/test_real_encoder.py +++ b/tests/test_real_encoder.py @@ -16,23 +16,23 @@ def check_consistency(soft: Callable, hard: Callable, expected, *args): - # print(f'\nchecking consistency for {soft.__name__}') + #print(f'\nchecking consistency for {soft.__name__}') # Check that the soft function performs as expected soft_output = soft(*args) - # print(f'Expected: {expected}, Actual soft_output: {soft_output}') + #print(f'Expected: {expected}, Actual soft_output: {soft_output}') assert numpy.allclose(soft_output, expected, equal_nan=True) # Check that the hard function performs as expected # N.B. We don't harden the inputs because the hard_bit expects real-valued inputs hard_expected = harden.harden(expected) hard_output = hard(*args) - # print(f'Expected: {hard_expected}, Actual hard_output: {hard_output}') + #print(f'Expected: {hard_expected}, Actual hard_output: {hard_output}') assert numpy.allclose(hard_output, hard_expected, equal_nan=True) # Check that the jaxpr performs as expected symbolic_f = symbolic_generation.make_symbolic_jaxpr(hard, *args) symbolic_output = symbolic_generation.eval_symbolic(symbolic_f, *args) - # print(f'Expected: {hard_expected}, Actual symbolic_output: {symbolic_output}') + #print(f'Expected: {hard_expected}, Actual symbolic_output: {symbolic_output}') assert numpy.allclose(symbolic_output, hard_expected, equal_nan=True) @@ -229,7 +229,7 @@ def test_net(type, x): soft, hard, symbolic = neural_logic_net.net(test_net) # Compute soft result - soft_input = jax.numpy.array([1.0, 0.0]) + soft_input = jax.numpy.array([1, 0]) weights = soft.init(random.PRNGKey(0), soft_input) soft_result = soft.apply(weights, numpy.array(soft_input)) @@ -245,7 +245,7 @@ def test_net(type, x): assert numpy.array_equal(symbolic_output, hard_result) # Compute symbolic result with symbolic inputs and symbolic weights, but where the symbols can be evaluated - symbolic_input = ['1.0', '0.0'] + symbolic_input = ['1', '0'] symbolic_weights = utils.make_symbolic(hard_weights) symbolic_output = symbolic.apply(symbolic_weights, symbolic_input) symbolic_output = symbolic_generation.eval_symbolic_expression( @@ -256,17 +256,24 @@ def test_net(type, x): # Compute symbolic result with symbolic inputs and non-symbolic weights symbolic_input = ['x1', 'x2'] symbolic_output = symbolic.apply(hard_weights, symbolic_input) + # Check the shape of the symbolic output + # TODO: activate this test when select_n is fully supported + # assert symbolic_output.shape == (2, 3) # Check the form of the symbolic expression + expected_output = r'lax_reference.select(numpy.array(lax_reference.gt(lax_reference.select(numpy.numpy.array([[numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(lax_reference.abs(lax_reference.sub(0.07225775718688965, x1)), lax_reference.add(9.99999993922529e-09, lax_reference.mul(9.999999747378752e-06, lax_reference.abs(x1)))), numpy.logical_not(numpy.logical_or(False, lax_reference.eq(lax_reference.abs(x1), inf)))), numpy.logical_and(numpy.logical_and(False, lax_reference.eq(lax_reference.abs(x1), inf)), lax_reference.eq(0.07225775718688965, x1))), numpy.logical_not(numpy.logical_or(False, lax_reference.ne(x1, x1)))), numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(lax_reference.abs(lax_reference.sub(0.06643760204315186, x1)), lax_reference.add(9.99999993922529e-09, lax_reference.mul(9.999999747378752e-06, lax_reference.abs(x1)))), numpy.logical_not(numpy.logical_or(False, lax_reference.eq(lax_reference.abs(x1), inf)))), numpy.logical_and(numpy.logical_and(False, lax_reference.eq(lax_reference.abs(x1), inf)), lax_reference.eq(0.06643760204315186, x1))), numpy.logical_not(numpy.logical_or(False, lax_reference.ne(x1, x1)))), numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(lax_reference.abs(lax_reference.sub(0.9510347843170166, x1)), lax_reference.add(9.99999993922529e-09, lax_reference.mul(9.999999747378752e-06, lax_reference.abs(x1)))), numpy.logical_not(numpy.logical_or(False, lax_reference.eq(lax_reference.abs(x1), inf)))), numpy.logical_and(numpy.logical_and(False, lax_reference.eq(lax_reference.abs(x1), inf)), lax_reference.eq(0.9510347843170166, x1))), numpy.logical_not(numpy.logical_or(False, lax_reference.ne(x1, x1))))], [numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(lax_reference.abs(lax_reference.sub(0.8350926637649536, x2)), lax_reference.add(9.99999993922529e-09, lax_reference.mul(9.999999747378752e-06, lax_reference.abs(x2)))), numpy.logical_not(numpy.logical_or(False, lax_reference.eq(lax_reference.abs(x2), inf)))), numpy.logical_and(numpy.logical_and(False, lax_reference.eq(lax_reference.abs(x2), inf)), lax_reference.eq(0.8350926637649536, x2))), numpy.logical_not(numpy.logical_or(False, lax_reference.ne(x2, x2)))), numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(lax_reference.abs(lax_reference.sub(0.8651731014251709, x2)), lax_reference.add(9.99999993922529e-09, lax_reference.mul(9.999999747378752e-06, lax_reference.abs(x2)))), numpy.logical_not(numpy.logical_or(False, lax_reference.eq(lax_reference.abs(x2), inf)))), numpy.logical_and(numpy.logical_and(False, lax_reference.eq(lax_reference.abs(x2), inf)), lax_reference.eq(0.8651731014251709, x2))), numpy.logical_not(numpy.logical_or(False, lax_reference.ne(x2, x2)))), numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(lax_reference.abs(lax_reference.sub(0.6748189926147461, x2)), lax_reference.add(9.99999993922529e-09, lax_reference.mul(9.999999747378752e-06, lax_reference.abs(x2)))), numpy.logical_not(numpy.logical_or(False, lax_reference.eq(lax_reference.abs(x2), inf)))), numpy.logical_and(numpy.logical_and(False, lax_reference.eq(lax_reference.abs(x2), inf)), lax_reference.eq(0.6748189926147461, x2))), numpy.logical_not(numpy.logical_or(False, lax_reference.ne(x2, x2))))]], dtype=object), numpy.numpy.array([[0.5, 0.5, 0.5], [0.5, 0.5, 0.5]], dtype=numpy.numpy.float32), lax_reference.select(numpy.numpy.array([[lax_reference.lt(x1, 0.07225775718688965), lax_reference.lt(x1, 0.06643760204315186), lax_reference.lt(x1, 0.9510347843170166)], [lax_reference.lt(x2, 0.8350926637649536), lax_reference.lt(x2, 0.8651731014251709), lax_reference.lt(x2, 0.6748189926147461)]], dtype=object), numpy.numpy.array([[lax_reference.div(x1, 0.14451561868190765), lax_reference.div(x1, 0.13287530839443207), lax_reference.div(x1, 1.9020696878433228)], [lax_reference.div(x2, 1.6701854467391968), lax_reference.div(x2, 1.7303463220596313), lax_reference.div(x2, 1.3496381044387817)]], dtype=object), numpy.numpy.array([[lax_reference.div(lax_reference.sub(lax_reference.add(x1, 1), 0.1445155143737793), 1.8554846048355103), lax_reference.div(lax_reference.sub(lax_reference.add(x1, 1), 0.1328752040863037), 1.8671249151229858), lax_reference.div(lax_reference.sub(lax_reference.add(x1, 1), 1.9020695686340332), 0.09793052822351456)], [lax_reference.div(lax_reference.sub(lax_reference.add(x2, 1), 1.6701853275299072), 0.32981476187705994), lax_reference.div(lax_reference.sub(lax_reference.add(x2, 1), 1.7303462028503418), 0.26965388655662537), lax_reference.div(lax_reference.sub(lax_reference.add(x2, 1), 1.3496379852294922), 0.6503621339797974)]], dtype=object))), 0.5), dtype=object), numpy.array([[ True, True, True], [ True, True, True]]), numpy.array([[False, False, False], [False, False, False]]))' assert numpy.array_equal( symbolic_output, - r'lax_reference.select(numpy.array(lax_reference.gt(lax_reference.select(numpy.numpy.array([[numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(numpy.absolute(numpy.subtract(0.07225775718688965, x1)), numpy.add(9.99999993922529e-09, numpy.multiply(9.999999747378752e-06, numpy.absolute(x1)))), numpy.logical_not(numpy.logical_or(False, lax_reference.eq(numpy.absolute(x1), inf)))), numpy.logical_and(numpy.logical_and(False, lax_reference.eq(numpy.absolute(x1), inf)), lax_reference.eq(0.07225775718688965, x1))), numpy.logical_not(numpy.logical_or(False, lax_reference.ne(x1, x1)))), numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(numpy.absolute(numpy.subtract(0.06643760204315186, x1)), numpy.add(9.99999993922529e-09, numpy.multiply(9.999999747378752e-06, numpy.absolute(x1)))), numpy.logical_not(numpy.logical_or(False, lax_reference.eq(numpy.absolute(x1), inf)))), numpy.logical_and(numpy.logical_and(False, lax_reference.eq(numpy.absolute(x1), inf)), lax_reference.eq(0.06643760204315186, x1))), numpy.logical_not(numpy.logical_or(False, lax_reference.ne(x1, x1)))), numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(numpy.absolute(numpy.subtract(0.9510347843170166, x1)), numpy.add(9.99999993922529e-09, numpy.multiply(9.999999747378752e-06, numpy.absolute(x1)))), numpy.logical_not(numpy.logical_or(False, lax_reference.eq(numpy.absolute(x1), inf)))), numpy.logical_and(numpy.logical_and(False, lax_reference.eq(numpy.absolute(x1), inf)), lax_reference.eq(0.9510347843170166, x1))), numpy.logical_not(numpy.logical_or(False, lax_reference.ne(x1, x1))))], [numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(numpy.absolute(numpy.subtract(0.8350926637649536, x2)), numpy.add(9.99999993922529e-09, numpy.multiply(9.999999747378752e-06, numpy.absolute(x2)))), numpy.logical_not(numpy.logical_or(False, lax_reference.eq(numpy.absolute(x2), inf)))), numpy.logical_and(numpy.logical_and(False, lax_reference.eq(numpy.absolute(x2), inf)), lax_reference.eq(0.8350926637649536, x2))), numpy.logical_not(numpy.logical_or(False, lax_reference.ne(x2, x2)))), numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(numpy.absolute(numpy.subtract(0.8651731014251709, x2)), numpy.add(9.99999993922529e-09, numpy.multiply(9.999999747378752e-06, numpy.absolute(x2)))), numpy.logical_not(numpy.logical_or(False, lax_reference.eq(numpy.absolute(x2), inf)))), numpy.logical_and(numpy.logical_and(False, lax_reference.eq(numpy.absolute(x2), inf)), lax_reference.eq(0.8651731014251709, x2))), numpy.logical_not(numpy.logical_or(False, lax_reference.ne(x2, x2)))), numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(numpy.absolute(numpy.subtract(0.6748189926147461, x2)), numpy.add(9.99999993922529e-09, numpy.multiply(9.999999747378752e-06, numpy.absolute(x2)))), numpy.logical_not(numpy.logical_or(False, lax_reference.eq(numpy.absolute(x2), inf)))), numpy.logical_and(numpy.logical_and(False, lax_reference.eq(numpy.absolute(x2), inf)), lax_reference.eq(0.6748189926147461, x2))), numpy.logical_not(numpy.logical_or(False, lax_reference.ne(x2, x2))))]], dtype=object), numpy.numpy.array([[0.5, 0.5, 0.5], [0.5, 0.5, 0.5]], dtype=numpy.numpy.float32), lax_reference.select(numpy.numpy.array([[lax_reference.lt(x1, 0.07225775718688965), lax_reference.lt(x1, 0.06643760204315186), lax_reference.lt(x1, 0.9510347843170166)], [lax_reference.lt(x2, 0.8350926637649536), lax_reference.lt(x2, 0.8651731014251709), lax_reference.lt(x2, 0.6748189926147461)]], dtype=object), numpy.numpy.array([[numpy.multiply(6.9196672439575195, x1), numpy.multiply(7.525852680206299, x1), numpy.multiply(0.5257430672645569, x1)], [numpy.multiply(0.5987359285354614, x2), numpy.multiply(0.5779190063476562, x2), numpy.multiply(0.7409393787384033, x2)]], dtype=object), numpy.numpy.array([[numpy.multiply(0.5389427542686462, numpy.subtract(numpy.add(x1, 1.0), 0.1445155143737793)), numpy.multiply(0.5355827808380127, numpy.subtract(numpy.add(x1, 1.0), 0.1328752040863037)), numpy.multiply(10.211319923400879, numpy.subtract(numpy.add(x1, 1.0), 1.9020695686340332))], [numpy.multiply(3.0320050716400146, numpy.subtract(numpy.add(x2, 1.0), 1.6701853275299072)), numpy.multiply(3.7084574699401855, numpy.subtract(numpy.add(x2, 1.0), 1.7303462028503418)), numpy.multiply(1.5376049280166626, numpy.subtract(numpy.add(x2, 1.0), 1.3496379852294922))]], dtype=object))), 0.5), dtype=object), numpy.array([[ True, True, True], [ True, True, True]]), numpy.array([[False, False, False], [False, False, False]]))' + expected_output ) # Compute symbolic result with symbolic inputs and symbolic weights symbolic_output = symbolic.apply(symbolic_weights, symbolic_input) + # Check the shape of the symbolic expression + # TODO: activate this test when select_n is fully supported + # assert symbolic_output.shape == (2, 3) # Check the form of the symbolic expression # N.B. expected output can change depending due to presence of small numerical errors that can differ between runs and platforms - expected_output = r'lax_reference.select(lax_reference.gt(lax_reference.select(numpy.array([[numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(numpy.absolute(numpy.subtract(numpy.minimum(1.0, numpy.maximum(0.0, 0.07225776)), x1)), numpy.add(1e-08, numpy.multiply(1e-05, numpy.absolute(x1)))), numpy.logical_not(numpy.logical_or(lax_reference.eq(numpy.absolute(numpy.minimum(1.0, numpy.maximum(0.0, 0.07225776))), inf), lax_reference.eq(numpy.absolute(x1), inf)))), numpy.logical_and(numpy.logical_and(lax_reference.eq(numpy.absolute(numpy.minimum(1.0, numpy.maximum(0.0, 0.07225776))), inf), lax_reference.eq(numpy.absolute(x1), inf)), lax_reference.eq(numpy.minimum(1.0, numpy.maximum(0.0, 0.07225776)), x1))), numpy.logical_not(numpy.logical_or(lax_reference.ne(numpy.minimum(1.0, numpy.maximum(0.0, 0.07225776)), numpy.minimum(1.0, numpy.maximum(0.0, 0.07225776))), lax_reference.ne(x1, x1)))), numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(numpy.absolute(numpy.subtract(numpy.minimum(1.0, numpy.maximum(0.0, 0.0664376)), x1)), numpy.add(1e-08, numpy.multiply(1e-05, numpy.absolute(x1)))), numpy.logical_not(numpy.logical_or(lax_reference.eq(numpy.absolute(numpy.minimum(1.0, numpy.maximum(0.0, 0.0664376))), inf), lax_reference.eq(numpy.absolute(x1), inf)))), numpy.logical_and(numpy.logical_and(lax_reference.eq(numpy.absolute(numpy.minimum(1.0, numpy.maximum(0.0, 0.0664376))), inf), lax_reference.eq(numpy.absolute(x1), inf)), lax_reference.eq(numpy.minimum(1.0, numpy.maximum(0.0, 0.0664376)), x1))), numpy.logical_not(numpy.logical_or(lax_reference.ne(numpy.minimum(1.0, numpy.maximum(0.0, 0.0664376)), numpy.minimum(1.0, numpy.maximum(0.0, 0.0664376))), lax_reference.ne(x1, x1)))), numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(numpy.absolute(numpy.subtract(numpy.minimum(1.0, numpy.maximum(0.0, 0.9510348)), x1)), numpy.add(1e-08, numpy.multiply(1e-05, numpy.absolute(x1)))), numpy.logical_not(numpy.logical_or(lax_reference.eq(numpy.absolute(numpy.minimum(1.0, numpy.maximum(0.0, 0.9510348))), inf), lax_reference.eq(numpy.absolute(x1), inf)))), numpy.logical_and(numpy.logical_and(lax_reference.eq(numpy.absolute(numpy.minimum(1.0, numpy.maximum(0.0, 0.9510348))), inf), lax_reference.eq(numpy.absolute(x1), inf)), lax_reference.eq(numpy.minimum(1.0, numpy.maximum(0.0, 0.9510348)), x1))), numpy.logical_not(numpy.logical_or(lax_reference.ne(numpy.minimum(1.0, numpy.maximum(0.0, 0.9510348)), numpy.minimum(1.0, numpy.maximum(0.0, 0.9510348))), lax_reference.ne(x1, x1))))], [numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(numpy.absolute(numpy.subtract(numpy.minimum(1.0, numpy.maximum(0.0, 0.83509266)), x2)), numpy.add(1e-08, numpy.multiply(1e-05, numpy.absolute(x2)))), numpy.logical_not(numpy.logical_or(lax_reference.eq(numpy.absolute(numpy.minimum(1.0, numpy.maximum(0.0, 0.83509266))), inf), lax_reference.eq(numpy.absolute(x2), inf)))), numpy.logical_and(numpy.logical_and(lax_reference.eq(numpy.absolute(numpy.minimum(1.0, numpy.maximum(0.0, 0.83509266))), inf), lax_reference.eq(numpy.absolute(x2), inf)), lax_reference.eq(numpy.minimum(1.0, numpy.maximum(0.0, 0.83509266)), x2))), numpy.logical_not(numpy.logical_or(lax_reference.ne(numpy.minimum(1.0, numpy.maximum(0.0, 0.83509266)), numpy.minimum(1.0, numpy.maximum(0.0, 0.83509266))), lax_reference.ne(x2, x2)))), numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(numpy.absolute(numpy.subtract(numpy.minimum(1.0, numpy.maximum(0.0, 0.8651731)), x2)), numpy.add(1e-08, numpy.multiply(1e-05, numpy.absolute(x2)))), numpy.logical_not(numpy.logical_or(lax_reference.eq(numpy.absolute(numpy.minimum(1.0, numpy.maximum(0.0, 0.8651731))), inf), lax_reference.eq(numpy.absolute(x2), inf)))), numpy.logical_and(numpy.logical_and(lax_reference.eq(numpy.absolute(numpy.minimum(1.0, numpy.maximum(0.0, 0.8651731))), inf), lax_reference.eq(numpy.absolute(x2), inf)), lax_reference.eq(numpy.minimum(1.0, numpy.maximum(0.0, 0.8651731)), x2))), numpy.logical_not(numpy.logical_or(lax_reference.ne(numpy.minimum(1.0, numpy.maximum(0.0, 0.8651731)), numpy.minimum(1.0, numpy.maximum(0.0, 0.8651731))), lax_reference.ne(x2, x2)))), numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(numpy.absolute(numpy.subtract(numpy.minimum(1.0, numpy.maximum(0.0, 0.674819)), x2)), numpy.add(1e-08, numpy.multiply(1e-05, numpy.absolute(x2)))), numpy.logical_not(numpy.logical_or(lax_reference.eq(numpy.absolute(numpy.minimum(1.0, numpy.maximum(0.0, 0.674819))), inf), lax_reference.eq(numpy.absolute(x2), inf)))), numpy.logical_and(numpy.logical_and(lax_reference.eq(numpy.absolute(numpy.minimum(1.0, numpy.maximum(0.0, 0.674819))), inf), lax_reference.eq(numpy.absolute(x2), inf)), lax_reference.eq(numpy.minimum(1.0, numpy.maximum(0.0, 0.674819)), x2))), numpy.logical_not(numpy.logical_or(lax_reference.ne(numpy.minimum(1.0, numpy.maximum(0.0, 0.674819)), numpy.minimum(1.0, numpy.maximum(0.0, 0.674819))), lax_reference.ne(x2, x2))))]], dtype=object), numpy.array([[0.5, 0.5, 0.5], [0.5, 0.5, 0.5]]), lax_reference.select(numpy.array([[lax_reference.lt(x1, numpy.minimum(1.0, numpy.maximum(0.0, 0.07225776))), lax_reference.lt(x1, numpy.minimum(1.0, numpy.maximum(0.0, 0.0664376))), lax_reference.lt(x1, numpy.minimum(1.0, numpy.maximum(0.0, 0.9510348)))], [lax_reference.lt(x2, numpy.minimum(1.0, numpy.maximum(0.0, 0.83509266))), lax_reference.lt(x2, numpy.minimum(1.0, numpy.maximum(0.0, 0.8651731))), lax_reference.lt(x2, numpy.minimum(1.0, numpy.maximum(0.0, 0.674819)))]], dtype=object), numpy.array([[numpy.multiply(lax_reference.div(1.0, numpy.add(numpy.multiply(2.0, numpy.minimum(1.0, numpy.maximum(0.0, 0.07225776))), 1e-07)), x1), numpy.multiply(lax_reference.div(1.0, numpy.add(numpy.multiply(2.0, numpy.minimum(1.0, numpy.maximum(0.0, 0.0664376))), 1e-07)), x1), numpy.multiply(lax_reference.div(1.0, numpy.add(numpy.multiply(2.0, numpy.minimum(1.0, numpy.maximum(0.0, 0.9510348))), 1e-07)), x1)], [numpy.multiply(lax_reference.div(1.0, numpy.add(numpy.multiply(2.0, numpy.minimum(1.0, numpy.maximum(0.0, 0.83509266))), 1e-07)), x2), numpy.multiply(lax_reference.div(1.0, numpy.add(numpy.multiply(2.0, numpy.minimum(1.0, numpy.maximum(0.0, 0.8651731))), 1e-07)), x2), numpy.multiply(lax_reference.div(1.0, numpy.add(numpy.multiply(2.0, numpy.minimum(1.0, numpy.maximum(0.0, 0.674819))), 1e-07)), x2)]], dtype=object), numpy.array([[numpy.multiply(lax_reference.div(1.0, numpy.add(numpy.multiply(2.0, numpy.subtract(1.0, numpy.minimum(1.0, numpy.maximum(0.0, 0.07225776)))), 1e-07)), numpy.subtract(numpy.add(x1, 1.0), numpy.multiply(2.0, numpy.minimum(1.0, numpy.maximum(0.0, 0.07225776))))), numpy.multiply(lax_reference.div(1.0, numpy.add(numpy.multiply(2.0, numpy.subtract(1.0, numpy.minimum(1.0, numpy.maximum(0.0, 0.0664376)))), 1e-07)), numpy.subtract(numpy.add(x1, 1.0), numpy.multiply(2.0, numpy.minimum(1.0, numpy.maximum(0.0, 0.0664376))))), numpy.multiply(lax_reference.div(1.0, numpy.add(numpy.multiply(2.0, numpy.subtract(1.0, numpy.minimum(1.0, numpy.maximum(0.0, 0.9510348)))), 1e-07)), numpy.subtract(numpy.add(x1, 1.0), numpy.multiply(2.0, numpy.minimum(1.0, numpy.maximum(0.0, 0.9510348)))))], [numpy.multiply(lax_reference.div(1.0, numpy.add(numpy.multiply(2.0, numpy.subtract(1.0, numpy.minimum(1.0, numpy.maximum(0.0, 0.83509266)))), 1e-07)), numpy.subtract(numpy.add(x2, 1.0), numpy.multiply(2.0, numpy.minimum(1.0, numpy.maximum(0.0, 0.83509266))))), numpy.multiply(lax_reference.div(1.0, numpy.add(numpy.multiply(2.0, numpy.subtract(1.0, numpy.minimum(1.0, numpy.maximum(0.0, 0.8651731)))), 1e-07)), numpy.subtract(numpy.add(x2, 1.0), numpy.multiply(2.0, numpy.minimum(1.0, numpy.maximum(0.0, 0.8651731))))), numpy.multiply(lax_reference.div(1.0, numpy.add(numpy.multiply(2.0, numpy.subtract(1.0, numpy.minimum(1.0, numpy.maximum(0.0, 0.674819)))), 1e-07)), numpy.subtract(numpy.add(x2, 1.0), numpy.multiply(2.0, numpy.minimum(1.0, numpy.maximum(0.0, 0.674819)))))]], dtype=object))), 0.5), numpy.array([[ True, True, True], [ True, True, True]]), numpy.array([[False, False, False], [False, False, False]]))' + expected_output = r'lax_reference.select(lax_reference.gt(lax_reference.select(numpy.array([[lax_reference.eq(lax_reference.min(1, lax_reference.max(0, 0.07225776)), x1), lax_reference.eq(lax_reference.min(1, lax_reference.max(0, 0.0664376)), x1), lax_reference.eq(lax_reference.min(1, lax_reference.max(0, 0.9510348)), x1)], [lax_reference.eq(lax_reference.min(1, lax_reference.max(0, 0.83509266)), x2), lax_reference.eq(lax_reference.min(1, lax_reference.max(0, 0.8651731)), x2), lax_reference.eq(lax_reference.min(1, lax_reference.max(0, 0.674819)), x2)]], dtype=object), numpy.array([[0.5, 0.5, 0.5], [0.5, 0.5, 0.5]]), lax_reference.select(numpy.array([[lax_reference.lt(x1, lax_reference.min(1, lax_reference.max(0, 0.07225776))), lax_reference.lt(x1, lax_reference.min(1, lax_reference.max(0, 0.0664376))), lax_reference.lt(x1, lax_reference.min(1, lax_reference.max(0, 0.9510348)))], [lax_reference.lt(x2, lax_reference.min(1, lax_reference.max(0, 0.83509266))), lax_reference.lt(x2, lax_reference.min(1, lax_reference.max(0, 0.8651731))), lax_reference.lt(x2, lax_reference.min(1, lax_reference.max(0, 0.674819)))]], dtype=object), numpy.array([[lax_reference.div(x1, lax_reference.add(lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.07225776))), 1e-07)), lax_reference.div(x1, lax_reference.add(lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.0664376))), 1e-07)), lax_reference.div(x1, lax_reference.add(lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.9510348))), 1e-07))], [lax_reference.div(x2, lax_reference.add(lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.83509266))), 1e-07)), lax_reference.div(x2, lax_reference.add(lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.8651731))), 1e-07)), lax_reference.div(x2, lax_reference.add(lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.674819))), 1e-07))]], dtype=object), numpy.array([[lax_reference.div(lax_reference.sub(lax_reference.add(x1, 1), lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.07225776)))), lax_reference.add(lax_reference.mul(2, lax_reference.sub(1, lax_reference.min(1, lax_reference.max(0, 0.07225776)))), 1e-07)), lax_reference.div(lax_reference.sub(lax_reference.add(x1, 1), lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.0664376)))), lax_reference.add(lax_reference.mul(2, lax_reference.sub(1, lax_reference.min(1, lax_reference.max(0, 0.0664376)))), 1e-07)), lax_reference.div(lax_reference.sub(lax_reference.add(x1, 1), lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.9510348)))), lax_reference.add(lax_reference.mul(2, lax_reference.sub(1, lax_reference.min(1, lax_reference.max(0, 0.9510348)))), 1e-07))], [lax_reference.div(lax_reference.sub(lax_reference.add(x2, 1), lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.83509266)))), lax_reference.add(lax_reference.mul(2, lax_reference.sub(1, lax_reference.min(1, lax_reference.max(0, 0.83509266)))), 1e-07)), lax_reference.div(lax_reference.sub(lax_reference.add(x2, 1), lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.8651731)))), lax_reference.add(lax_reference.mul(2, lax_reference.sub(1, lax_reference.min(1, lax_reference.max(0, 0.8651731)))), 1e-07)), lax_reference.div(lax_reference.sub(lax_reference.add(x2, 1), lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.674819)))), lax_reference.add(lax_reference.mul(2, lax_reference.sub(1, lax_reference.min(1, lax_reference.max(0, 0.674819)))), 1e-07))]], dtype=object))), 0.5), numpy.array([[ True, True, True], [ True, True, True]]), numpy.array([[False, False, False], [False, False, False]]))' assert numpy.array_equal( symbolic_output, expected_output diff --git a/tests/test_symbolic_generation.py b/tests/test_symbolic_generation.py index 634037a..3fc8631 100644 --- a/tests/test_symbolic_generation.py +++ b/tests/test_symbolic_generation.py @@ -4,13 +4,16 @@ import numpy from neurallogic import (hard_and, hard_majority, hard_not, hard_or, hard_xor, - harden, harden_layer, neural_logic_net, + harden, harden_layer, neural_logic_net, real_encoder, symbolic_generation) from tests import utils def nln(type, x, width): - # TODO: test real_encoder layer + # Can't symbolically support this layer yet since the symbolic output is an unevaluated string that + # lacks the correct tensor structure + # x = real_encoder.real_encoder_layer(type)(2)(x) + # x = x.ravel() x = hard_or.or_layer(type)(width)(x) x = hard_and.and_layer(type)(width)(x) x = hard_xor.xor_layer(type)(width)(x) From 653afa8fd022f1698df705f931375b696e2fd5cc Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Thu, 26 Jan 2023 10:33:20 +0000 Subject: [PATCH 005/128] add file --- neurallogic/symbolic_generation.py | 13 ++++++++----- 1 file changed, 8 insertions(+), 5 deletions(-) diff --git a/neurallogic/symbolic_generation.py b/neurallogic/symbolic_generation.py index ea26d57..48a9dfa 100644 --- a/neurallogic/symbolic_generation.py +++ b/neurallogic/symbolic_generation.py @@ -28,13 +28,17 @@ def symbolic_bind(prim, *args, **params): 'lt': symbolic_primitives.symbolic_lt, 'ge': symbolic_primitives.symbolic_ge, 'gt': symbolic_primitives.symbolic_gt, - 'abs': symbolic_primitives.symbolic_abs, 'add': symbolic_primitives.symbolic_add, 'sub': symbolic_primitives.symbolic_sub, 'mul': symbolic_primitives.symbolic_mul, 'div': symbolic_primitives.symbolic_div, + 'tan': symbolic_primitives.symbolic_tan, 'max': symbolic_primitives.symbolic_max, 'min': symbolic_primitives.symbolic_min, + 'abs': symbolic_primitives.symbolic_abs, + 'round': symbolic_primitives.symbolic_round, + 'floor': symbolic_primitives.symbolic_floor, + 'ceil': symbolic_primitives.symbolic_ceil, 'and': symbolic_primitives.symbolic_and, 'or': symbolic_primitives.symbolic_or, 'xor': symbolic_primitives.symbolic_xor, @@ -190,10 +194,9 @@ def eval_jaxpr_impl(jaxpr): outvals = [outvals] symbolic_outvals = [symbolic_outvals] if not symbolic: - # Check that the concrete and symbolic values are equal - # print( - # f'outvals: {outvals} and symbolic_outvals: {symbolic_outvals}' - # ) + # Always check that the symbolic binding generates the same values as the + # standard jax binding in order to detect bugs early. + # print(f'outvals: {outvals} and symbolic_outvals: {symbolic_outvals}') assert numpy.allclose( numpy.array(outvals), symbolic_outvals, equal_nan=True ) From 101d5cde26d79a710200dca9ee38d16fe3ec4138 Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Thu, 26 Jan 2023 11:33:31 +0000 Subject: [PATCH 006/128] fix my hack after jax upgrade --- neurallogic/symbolic_generation.py | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/neurallogic/symbolic_generation.py b/neurallogic/symbolic_generation.py index 48a9dfa..77f77eb 100644 --- a/neurallogic/symbolic_generation.py +++ b/neurallogic/symbolic_generation.py @@ -97,10 +97,11 @@ def make_symbolic_flax_jaxpr(flax_layer, x): x = numpy.asarray(x, dtype=numpy.int32) # Make the jaxpr that corresponds to the flax layer jaxpr = make_symbolic_jaxpr(flax_layer, x) - # Make a list of bit_weights and thresholds but only include each if they are not None - bit_weights_and_thresholds = [x for x in [bit_weights, thresholds] if x is not None] - # Replace the dummy numeric weights with the actual weights in the jaxpr - jaxpr.consts = bit_weights_and_thresholds + if hasattr(jaxpr, '_consts'): + # Make a list of bit_weights and thresholds but only include each if they are not None + bit_weights_and_thresholds = [x for x in [bit_weights, thresholds] if x is not None] + # Replace the dummy numeric weights with the actual weights in the jaxpr + jaxpr.__setattr__('_consts', bit_weights_and_thresholds) return jaxpr From c81c44eb91a036afefe8253df7af0ce4e2d868b9 Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Thu, 26 Jan 2023 15:30:42 +0000 Subject: [PATCH 007/128] 100 --- neurallogic/hard_xor.py | 30 +++++--- tests/test_mnist.py | 62 ++++++++------- tests/test_noisy_xor.py | 163 ++++++++++++++++++++++++++++++++++++++++ 3 files changed, 217 insertions(+), 38 deletions(-) create mode 100644 tests/test_noisy_xor.py diff --git a/neurallogic/hard_xor.py b/neurallogic/hard_xor.py index 4765188..ca93a1c 100644 --- a/neurallogic/hard_xor.py +++ b/neurallogic/hard_xor.py @@ -3,7 +3,7 @@ import jax from flax import linen as nn -from neurallogic import neural_logic_net, symbolic_generation +from neurallogic import neural_logic_net, symbolic_generation, hard_and def soft_xor_include(w: float, x: float) -> float: @@ -28,6 +28,7 @@ def soft_xor_neuron(w, x): def xor(x, y): return jax.numpy.minimum(jax.numpy.maximum(x, y), 1.0 - jax.numpy.minimum(x, y)) + x = jax.lax.reduce(x, jax.numpy.array(0, dtype=x.dtype), xor, (0,)) return x @@ -45,15 +46,19 @@ def hard_xor_neuron(w, x): class SoftXorLayer(nn.Module): layer_size: int - weights_init: Callable = nn.initializers.uniform(1.0) + weights_init: Callable = ( + nn.initializers.uniform(1.0) + #hard_and.initialize_near_to_zero() + ) dtype: jax.numpy.dtype = jax.numpy.float32 @nn.compact def __call__(self, x): weights_shape = (self.layer_size, jax.numpy.shape(x)[-1]) weights = self.param( - 'bit_weights', self.weights_init, weights_shape, self.dtype) - x = jax.numpy.asarray(x, self.dtype) + "bit_weights", self.weights_init, weights_shape, self.dtype + ) + x = jax.numpy.asarray(x, self.dtype) return soft_xor_layer(weights, x) @@ -64,7 +69,8 @@ class HardXorLayer(nn.Module): def __call__(self, x): weights_shape = (self.layer_size, jax.numpy.shape(x)[-1]) weights = self.param( - 'bit_weights', nn.initializers.constant(True), weights_shape) + "bit_weights", nn.initializers.constant(True), weights_shape + ) return hard_xor_layer(weights, x) @@ -74,14 +80,18 @@ def __init__(self, layer_size): self.hard_xor_layer = HardXorLayer(self.layer_size) def __call__(self, x): - jaxpr = symbolic_generation.make_symbolic_flax_jaxpr( - self.hard_xor_layer, x) + jaxpr = symbolic_generation.make_symbolic_flax_jaxpr(self.hard_xor_layer, x) return symbolic_generation.symbolic_expression(jaxpr, x) xor_layer = neural_logic_net.select( lambda layer_size, weights_init=nn.initializers.uniform( - 1.0), dtype=jax.numpy.float32: SoftXorLayer(layer_size, weights_init, dtype), + 1.0 + ), dtype=jax.numpy.float32: SoftXorLayer(layer_size, weights_init, dtype), + lambda layer_size, weights_init=nn.initializers.constant( + True + ), dtype=jax.numpy.float32: HardXorLayer(layer_size), lambda layer_size, weights_init=nn.initializers.constant( - True), dtype=jax.numpy.float32: HardXorLayer(layer_size), - lambda layer_size, weights_init=nn.initializers.constant(True), dtype=jax.numpy.float32: SymbolicXorLayer(layer_size)) + True + ), dtype=jax.numpy.float32: SymbolicXorLayer(layer_size), +) diff --git a/tests/test_mnist.py b/tests/test_mnist.py index 971b436..f586ebe 100644 --- a/tests/test_mnist.py +++ b/tests/test_mnist.py @@ -13,11 +13,20 @@ from matplotlib import pyplot as plt from tqdm import tqdm -from neurallogic import (hard_and, hard_majority, hard_not, hard_or, hard_xor, harden, - harden_layer, neural_logic_net, real_encoder) +from neurallogic import ( + hard_and, + hard_majority, + hard_not, + hard_or, + hard_xor, + harden, + harden_layer, + neural_logic_net, + real_encoder, +) # Uncomment to debug NaNs -#config.update("jax_debug_nans", True) +# config.update("jax_debug_nans", True) """ MNIST test. @@ -44,15 +53,18 @@ def nln(type, x, width): return x """ + def nln(type, x): num_classes = 10 - x = hard_or.or_layer(type)(1800, nn.initializers.uniform(1.0), dtype=jax.numpy.float16)(x) + x = hard_or.or_layer(type)( + 1800, nn.initializers.uniform(1.0), dtype=jax.numpy.float16 + )(x) x = hard_not.not_layer(type)(1, dtype=jax.numpy.float16)(x) x = x.ravel() - x = harden_layer.harden_layer(type)(x) - x = x.reshape((num_classes, int(x.shape[0] / num_classes))) - x = x.sum(-1) + x = harden_layer.harden_layer(type)(x) + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) return x @@ -129,13 +141,13 @@ def get_datasets(): train_ds = tfds.as_numpy(ds_builder.as_dataset(split="train", batch_size=-1)) test_ds = tfds.as_numpy(ds_builder.as_dataset(split="test", batch_size=-1)) # XXXX - train_ds["image"] = (jnp.float32(train_ds["image"]) / 255.0) - test_ds["image"] = (jnp.float32(test_ds["image"]) / 255.0) + train_ds["image"] = jnp.float32(train_ds["image"]) / 255.0 + test_ds["image"] = jnp.float32(test_ds["image"]) / 255.0 # TODO: we don't need to do this even when we don't use the real encoder # Use grayscale information # Convert the floating point values in [0,1] to binary values in {0,1} - #train_ds["image"] = jnp.round(train_ds["image"]) - #test_ds["image"] = jnp.round(test_ds["image"]) + # train_ds["image"] = jnp.round(train_ds["image"]) + # test_ds["image"] = jnp.round(test_ds["image"]) return train_ds, test_ds @@ -165,8 +177,8 @@ def create_train_state(net, rng, config): # for NLN mock_input = jnp.ones([1, 28 * 28]) soft_weights = net.init(rng, mock_input)["params"] - #tx = optax.sgd(config.learning_rate, config.momentum) - #tx = optax.noisy_sgd(config.learning_rate, config.momentum) + # tx = optax.sgd(config.learning_rate, config.momentum) + # tx = optax.noisy_sgd(config.learning_rate, config.momentum) tx = optax.yogi(config.learning_rate) return train_state.TrainState.create(apply_fn=net.apply, params=soft_weights, tx=tx) @@ -174,14 +186,7 @@ def create_train_state(net, rng, config): def train_and_evaluate( net, datasets, config: ml_collections.ConfigDict, workdir: str ) -> train_state.TrainState: - """Execute model training and evaluation loop. - Args: - config: Hyperparameter configuration for training and evaluation. - workdir: Directory where the tensorboard summaries are written to. - Returns: - The train state (which includes the `.params`). - """ - train_ds, test_ds = datasets + train_dataset, test_dataset = datasets rng = jax.random.PRNGKey(0) summary_writer = tensorboard.SummaryWriter(workdir) @@ -193,10 +198,10 @@ def train_and_evaluate( for epoch in range(1, config.num_epochs + 1): rng, input_rng = jax.random.split(rng) state, train_loss, train_accuracy = train_epoch( - state, train_ds, config.batch_size, input_rng + state, train_dataset, config.batch_size, input_rng ) _, test_loss, test_accuracy = apply_model_with_grad( - state, test_ds["image"], test_ds["label"] + state, test_dataset["image"], test_dataset["label"] ) print( @@ -219,13 +224,13 @@ def get_config(): # config for CNN config.learning_rate = 0.01 # config for NLN - #config.learning_rate = 0.1 + # config.learning_rate = 0.1 config.learning_rate = 0.01 # Always commit with num_epochs = 1 for short test time config.momentum = 0.9 config.batch_size = 128 - #config.num_epochs = 2 + # config.num_epochs = 2 config.num_epochs = 1000 return config @@ -290,6 +295,7 @@ def check_symbolic(nets, datasets, trained_state): symbolic_output = symbolic.apply({"params": symbolic_weights}, symbolic_input) print("symbolic_output", symbolic_output[0][:10000]) + @pytest.mark.skip(reason="temporarily off") def test_mnist(): # Make sure tf does not allocate gpu memory. @@ -311,7 +317,7 @@ def test_mnist(): print(soft.tabulate(jax.random.PRNGKey(0), train_ds["image"][0:1])) # TODO: fix the size of this - #print(hard.tabulate(jax.random.PRNGKey(0), harden.harden(train_ds["image"][0:1]))) + # print(hard.tabulate(jax.random.PRNGKey(0), harden.harden(train_ds["image"][0:1]))) # Train and evaluate the model. trained_state = train_and_evaluate( @@ -319,5 +325,5 @@ def test_mnist(): ) # Check symbolic net - #_, hard, symbolic = neural_logic_net.net(lambda type, x: nln(type, x)) - #check_symbolic((soft, hard, symbolic), (train_ds, test_ds), trained_state) + # _, hard, symbolic = neural_logic_net.net(lambda type, x: nln(type, x)) + # check_symbolic((soft, hard, symbolic), (train_ds, test_ds), trained_state) diff --git a/tests/test_noisy_xor.py b/tests/test_noisy_xor.py new file mode 100644 index 0000000..8d87c7b --- /dev/null +++ b/tests/test_noisy_xor.py @@ -0,0 +1,163 @@ +from pathlib import Path +import ml_collections +import numpy +import optax +from flax.training import train_state +from flax import linen as nn +import jax + +from neurallogic import ( + neural_logic_net, + hard_not, + hard_or, + hard_and, + hard_xor, + hard_majority, + harden_layer, +) + +num_features = 12 +num_classes = 2 + + +def get_data(): + # Create a path to the data directory + data_dir = Path(__file__).parent.parent / "tests" / "data" + # Load the training data + training_data = numpy.loadtxt(data_dir / "NoisyXORTrainingData.txt").astype( + dtype=numpy.int32 + ) + # Load the test data + test_data = numpy.loadtxt(data_dir / "NoisyXORTestData.txt").astype( + dtype=numpy.int32 + ) + return training_data, test_data + + +# 89% test accuracy +def nln_89(type, x): + x = hard_and.and_layer(type)(20)(x) + x = hard_not.not_layer(type)(5)(x) + x = x.ravel() + ######################################################## + x = harden_layer.harden_layer(type)(x) + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) + return x + + +# 100% test accuracy +def nln(type, x): + x = hard_and.and_layer(type)(20)(x) + x = hard_not.not_layer(type)(4)(x) + x = x.ravel() + ######################################################## + x = harden_layer.harden_layer(type)(x) + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) + return x + + +def batch_nln(type, x): + return jax.vmap(lambda x: nln(type, x))(x) + + +def create_train_state(net, rng, config): + mock_input = jax.numpy.ones([1, num_features]) + soft_weights = net.init(rng, mock_input)["params"] + # tx = optax.sgd(config.learning_rate, config.momentum) + tx = optax.yogi(config.learning_rate) + return train_state.TrainState.create(apply_fn=net.apply, params=soft_weights, tx=tx) + + +@jax.jit +def update_model(state, grads): + return state.apply_gradients(grads=grads) + + +@jax.jit +def apply_model_with_grad(state, features, labels): + def loss_fn(params): + logits = state.apply_fn({"params": params}, features) + one_hot = jax.nn.one_hot(labels, num_classes) + loss = jax.numpy.mean( + optax.softmax_cross_entropy(logits=logits, labels=one_hot) + ) + return loss, logits + + grad_fn = jax.value_and_grad(loss_fn, has_aux=True) + (loss, logits), grads = grad_fn(state.params) + accuracy = jax.numpy.mean(jax.numpy.argmax(logits, -1) == labels) + return grads, loss, accuracy + + +def train_epoch(state, features, labels, batch_size, rng): + train_ds_size = len(features) + steps_per_epoch = train_ds_size // batch_size + + perms = jax.random.permutation(rng, len(features)) + perms = perms[: steps_per_epoch * batch_size] # skip incomplete batch + perms = perms.reshape((steps_per_epoch, batch_size)) + + epoch_loss = [] + epoch_accuracy = [] + + for perm in perms: + batch_features = features[perm, ...] + batch_labels = labels[perm, ...] + grads, loss, accuracy = apply_model_with_grad( + state, batch_features, batch_labels + ) + state = update_model(state, grads) + epoch_loss.append(loss) + epoch_accuracy.append(accuracy) + train_loss = numpy.mean(epoch_loss) + train_accuracy = numpy.mean(epoch_accuracy) + return state, train_loss, train_accuracy + + +def train_and_evaluate(net, datasets, config: ml_collections.ConfigDict): + training_data, test_data = datasets + x_training = training_data[:, 0:num_features] # Input features + y_training = training_data[:, num_features] # Target value + x_test = test_data[:, 0:num_features] # Input features + y_test = test_data[:, num_features] # Target value + + rng = jax.random.PRNGKey(0) + print(net.tabulate(rng, x_training[0:1])) + + rng, init_rng = jax.random.split(rng) + state = create_train_state(net, init_rng, config) + + best_test_accuracy = 0.0 + for epoch in range(1, config.num_epochs + 1): + rng, input_rng = jax.random.split(rng) + state, train_loss, train_accuracy = train_epoch( + state, x_training, y_training, config.batch_size, input_rng + ) + _, test_loss, test_accuracy = apply_model_with_grad(state, x_test, y_test) + if test_accuracy > best_test_accuracy: + best_test_accuracy = test_accuracy + + print( + "epoch:% 3d, train_loss: %.4f, train_accuracy: %.2f, test_loss: %.4f, test_accuracy: %.2f" + % (epoch, train_loss, train_accuracy * 100, test_loss, test_accuracy * 100) + ) + print(f"best_test_accuracy: {best_test_accuracy * 100:.2f}") + + return state + + +def get_config(): + config = ml_collections.ConfigDict() + config.learning_rate = 0.01 + config.momentum = 0.9 + config.batch_size = 256 + config.num_epochs = 1000 + return config + + +def test_noisy_xor(): + soft, hard, _ = neural_logic_net.net(lambda type, x: batch_nln(type, x)) + training_data, test_data = get_data() + trained_state = train_and_evaluate(soft, (training_data, test_data), get_config()) From 63a167b49b8860c6d6fe8f9b73e0d3dc5db67752 Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Fri, 27 Jan 2023 10:58:04 +0000 Subject: [PATCH 008/128] experiment with binary dropout --- neurallogic/neural_logic_net.py | 23 +-- tests/test_mnist.py | 4 +- tests/test_noisy_xor.py | 272 +++++++++++++++++++++++++++----- 3 files changed, 244 insertions(+), 55 deletions(-) diff --git a/neurallogic/neural_logic_net.py b/neurallogic/neural_logic_net.py index e74f92c..a2375ae 100644 --- a/neurallogic/neural_logic_net.py +++ b/neurallogic/neural_logic_net.py @@ -1,29 +1,32 @@ from enum import Enum from flax import linen as nn -NetType = Enum('NetType', ['Soft', 'Hard', 'Symbolic']) +NetType = Enum("NetType", ["Soft", "Hard", "Symbolic"]) + def select(soft, hard, symbolic): def selector(type: NetType): - return { - NetType.Soft: soft, - NetType.Hard: hard, - NetType.Symbolic: symbolic - }[type] + return {NetType.Soft: soft, NetType.Hard: hard, NetType.Symbolic: symbolic}[ + type + ] + return selector + def net(f): class SoftNet(nn.Module): @nn.compact - def __call__(self, x): - return f(NetType.Soft, x) - class HardNet(nn.Module): + def __call__(self, x, **kwargs): + return f(NetType.Soft, x, **kwargs) + + class HardNet(nn.Module): @nn.compact def __call__(self, x): return f(NetType.Hard, x) + class SymbolicNet(nn.Module): @nn.compact def __call__(self, x): return f(NetType.Symbolic, x) - return SoftNet(), HardNet(), SymbolicNet() + return SoftNet(), HardNet(), SymbolicNet() diff --git a/tests/test_mnist.py b/tests/test_mnist.py index f586ebe..caf2a66 100644 --- a/tests/test_mnist.py +++ b/tests/test_mnist.py @@ -325,5 +325,5 @@ def test_mnist(): ) # Check symbolic net - # _, hard, symbolic = neural_logic_net.net(lambda type, x: nln(type, x)) - # check_symbolic((soft, hard, symbolic), (train_ds, test_ds), trained_state) + _, hard, symbolic = neural_logic_net.net(lambda type, x: nln(type, x)) + check_symbolic((soft, hard, symbolic), (train_ds, test_ds), trained_state) diff --git a/tests/test_noisy_xor.py b/tests/test_noisy_xor.py index 8d87c7b..d44337a 100644 --- a/tests/test_noisy_xor.py +++ b/tests/test_noisy_xor.py @@ -1,20 +1,129 @@ from pathlib import Path +from typing import Optional, Sequence + +import jax +import jax.numpy as jnp import ml_collections import numpy import optax -from flax.training import train_state from flax import linen as nn -import jax +from flax.training import train_state +from jax import lax, random +from tqdm import tqdm from neurallogic import ( - neural_logic_net, + hard_and, + hard_majority, hard_not, hard_or, - hard_and, hard_xor, - hard_majority, + harden, harden_layer, + neural_logic_net, ) +from tests import utils + + +def check_symbolic(nets, data, trained_state): + x_training, y_training, x_test, y_test = get_train_and_test_data(data) + _, hard, symbolic = nets + _, test_loss, test_accuracy = apply_model_with_grad(trained_state, x_test, y_test) + print( + "soft_net: final test_loss: %.4f, final test_accuracy: %.2f" + % (test_loss, test_accuracy * 100) + ) + hard_weights = harden.hard_weights(trained_state.params) + hard_trained_state = train_state.TrainState.create( + apply_fn=hard.apply, params=hard_weights, tx=optax.sgd(1.0, 1.0) + ) + hard_input = harden.harden(x_test) + hard_test_accuracy = apply_hard_model(hard_trained_state, hard_input, y_test) + print("hard_net: final test_accuracy: %.2f" % (hard_test_accuracy * 100)) + assert numpy.isclose(test_accuracy, hard_test_accuracy, atol=0.0001) + if True: + symbolic_weights = hard_weights # utils.make_symbolic(hard_weights) + symbolic_trained_state = train_state.TrainState.create( + apply_fn=symbolic.apply, params=symbolic_weights, tx=optax.sgd(1.0, 1.0) + ) + symbolic_input = hard_input.tolist() + symbolic_test_accuracy = apply_hard_model( + symbolic_trained_state, symbolic_input, y_test + ) + print( + "symbolic_net: final test_accuracy: %.2f" % (symbolic_test_accuracy * 100) + ) + assert numpy.isclose(test_accuracy, symbolic_test_accuracy, atol=0.0001) + if False: + # CPU and GPU give different results, so we can't easily regress on a static symbolic expression + symbolic_input = [f"x{i}" for i in range(len(hard_input[0].tolist()))] + symbolic_output = symbolic.apply({"params": symbolic_weights}, symbolic_input) + print("symbolic_output", symbolic_output[0][:10000]) + + +class BinaryDropout(nn.Module): + """Create a dropout layer. + + Note: When using :meth:`Module.apply() `, make sure + to include an RNG seed named `'dropout'`. For example:: + + model.apply({'params': params}, inputs=inputs, train=True, rngs={'dropout': dropout_rng})` + + Attributes: + rate: the dropout probability. (_not_ the keep rate!) + broadcast_dims: dimensions that will share the same dropout mask + deterministic: if false the inputs are scaled by `1 / (1 - rate)` and + masked, whereas if true, no mask is applied and the inputs are returned + as is. + rng_collection: the rng collection name to use when requesting an rng key. + """ + + rate: float + broadcast_dims: Sequence[int] = () + deterministic: Optional[bool] = None + rng_collection: str = "dropout" + + @nn.compact + def __call__(self, inputs, deterministic: Optional[bool] = None): + """Applies a random dropout mask to the input. + + Args: + inputs: the inputs that should be randomly masked. + Masking means setting the input bits to 0.5. + deterministic: if false the inputs are masked, + whereas if true, no mask is applied and the inputs are returned + as is. + + Returns: + The masked inputs + """ + deterministic = nn.merge_param( + "deterministic", self.deterministic, deterministic + ) + + if (self.rate == 0.0) or deterministic: + return inputs + + # Prevent gradient NaNs in 1.0 edge-case. + if self.rate == 1.0: + return jnp.zeros_like(inputs) + + keep_prob = 1.0 - self.rate + rng = self.make_rng(self.rng_collection) + broadcast_shape = list(inputs.shape) + for dim in self.broadcast_dims: + broadcast_shape[dim] = 1 + mask = random.bernoulli(rng, p=keep_prob, shape=broadcast_shape) + mask = jnp.broadcast_to(mask, inputs.shape) + # masked_values = jnp.ones_like(inputs, dtype=float) / 2.0 + masked_values = jnp.zeros_like(inputs, dtype=float) + # masked_values = jnp.ones_like(inputs, dtype=float) + # print(f"mask {mask.shape} {mask.dtype} {mask}") + # print( + # f"masked_values {masked_values.shape} {masked_values.dtype} {masked_values}" + # ) + # print(f"inputs {inputs.shape} {inputs.dtype} {inputs}") + return lax.select(mask, inputs, masked_values) + num_features = 12 num_classes = 2 @@ -25,19 +134,19 @@ def get_data(): data_dir = Path(__file__).parent.parent / "tests" / "data" # Load the training data training_data = numpy.loadtxt(data_dir / "NoisyXORTrainingData.txt").astype( - dtype=numpy.int32 + dtype=numpy.float32 ) # Load the test data test_data = numpy.loadtxt(data_dir / "NoisyXORTestData.txt").astype( - dtype=numpy.int32 + dtype=numpy.float32 ) return training_data, test_data -# 89% test accuracy -def nln_89(type, x): +# 100% test accuracy +def nln_100(type, x): x = hard_and.and_layer(type)(20)(x) - x = hard_not.not_layer(type)(5)(x) + x = hard_not.not_layer(type)(4)(x) x = x.ravel() ######################################################## x = harden_layer.harden_layer(type)(x) @@ -47,10 +156,11 @@ def nln_89(type, x): # 100% test accuracy -def nln(type, x): - x = hard_and.and_layer(type)(20)(x) - x = hard_not.not_layer(type)(4)(x) - x = x.ravel() +def nln(type, x, training: bool): + x = hard_xor.xor_layer(type)(40)(x) + # x = hard_not.not_layer(type)(1)(x) + x = BinaryDropout(rate=0.5, deterministic=not training)(x) + # x = x.ravel() ######################################################## x = harden_layer.harden_layer(type)(x) x = x.reshape((num_classes, int(x.shape[0] / num_classes))) @@ -58,16 +168,24 @@ def nln(type, x): return x -def batch_nln(type, x): - return jax.vmap(lambda x: nln(type, x))(x) +def batch_nln(type, x, training: bool): + return jax.vmap(lambda x: nln(type, x, training))(x) -def create_train_state(net, rng, config): +class TrainState(train_state.TrainState): + dropout_rng: jax.random.KeyArray + + +def create_train_state(net, rng, dropout_rng, config): mock_input = jax.numpy.ones([1, num_features]) - soft_weights = net.init(rng, mock_input)["params"] - # tx = optax.sgd(config.learning_rate, config.momentum) - tx = optax.yogi(config.learning_rate) - return train_state.TrainState.create(apply_fn=net.apply, params=soft_weights, tx=tx) + soft_weights = net.init(rng, mock_input, training=False)["params"] + tx = optax.sgd(config.learning_rate, config.momentum) + # tx = optax.yogi(config.learning_rate) + # tx = optax.noisy_sgd(config.learning_rate, config.momentum) + # tx = optax.adagrad(config.learning_rate) # investigate this one + return TrainState.create( + apply_fn=net.apply, params=soft_weights, tx=tx, dropout_rng=dropout_rng + ) @jax.jit @@ -75,10 +193,16 @@ def update_model(state, grads): return state.apply_gradients(grads=grads) -@jax.jit -def apply_model_with_grad(state, features, labels): +def apply_model_with_grad_impl(state, features, labels, dropout_rng, training: bool): + dropout_train_rng = jax.random.fold_in(key=dropout_rng, data=state.step) + def loss_fn(params): - logits = state.apply_fn({"params": params}, features) + logits = state.apply_fn( + {"params": params}, + features, + training=training, + rngs={"dropout": dropout_train_rng}, + ) one_hot = jax.nn.one_hot(labels, num_classes) loss = jax.numpy.mean( optax.softmax_cross_entropy(logits=logits, labels=one_hot) @@ -91,7 +215,21 @@ def loss_fn(params): return grads, loss, accuracy -def train_epoch(state, features, labels, batch_size, rng): +@jax.jit +def apply_model_with_grad_and_training(state, features, labels, dropout_rng): + return apply_model_with_grad_impl( + state, features, labels, dropout_rng, training=True + ) + + +@jax.jit +def apply_model_with_grad(state, features, labels, dropout_rng): + return apply_model_with_grad_impl( + state, features, labels, dropout_rng, training=False + ) + + +def train_epoch(state, features, labels, batch_size, rng, dropout_rng): train_ds_size = len(features) steps_per_epoch = train_ds_size // batch_size @@ -105,8 +243,8 @@ def train_epoch(state, features, labels, batch_size, rng): for perm in perms: batch_features = features[perm, ...] batch_labels = labels[perm, ...] - grads, loss, accuracy = apply_model_with_grad( - state, batch_features, batch_labels + grads, loss, accuracy = apply_model_with_grad_and_training( + state, batch_features, batch_labels, dropout_rng ) state = update_model(state, grads) epoch_loss.append(loss) @@ -116,38 +254,67 @@ def train_epoch(state, features, labels, batch_size, rng): return state, train_loss, train_accuracy -def train_and_evaluate(net, datasets, config: ml_collections.ConfigDict): - training_data, test_data = datasets +def get_train_and_test_data(data): + training_data, test_data = data x_training = training_data[:, 0:num_features] # Input features y_training = training_data[:, num_features] # Target value x_test = test_data[:, 0:num_features] # Input features y_test = test_data[:, num_features] # Target value + return x_training, y_training, x_test, y_test - rng = jax.random.PRNGKey(0) - print(net.tabulate(rng, x_training[0:1])) - - rng, init_rng = jax.random.split(rng) - state = create_train_state(net, init_rng, config) +def train_and_evaluate( + init_rng, dropout_rng, net, data, config: ml_collections.ConfigDict +): + state = create_train_state(net, init_rng, dropout_rng, config) + x_training, y_training, x_test, y_test = data + best_train_accuracy = 0.0 best_test_accuracy = 0.0 for epoch in range(1, config.num_epochs + 1): - rng, input_rng = jax.random.split(rng) + init_rng, input_rng = jax.random.split(init_rng) state, train_loss, train_accuracy = train_epoch( - state, x_training, y_training, config.batch_size, input_rng + state, x_training, y_training, config.batch_size, input_rng, dropout_rng + ) + _, test_loss, test_accuracy = apply_model_with_grad( + state, x_test, y_test, dropout_rng ) - _, test_loss, test_accuracy = apply_model_with_grad(state, x_test, y_test) - if test_accuracy > best_test_accuracy: - best_test_accuracy = test_accuracy + if train_accuracy > best_train_accuracy: + best_train_accuracy = train_accuracy + print(f"best_train_accuracy: {best_train_accuracy * 100:.2f}") + if test_accuracy >= best_test_accuracy: + best_test_accuracy = test_accuracy + print(f"best_test_accuracy: {best_test_accuracy * 100:.2f}") + else: + print(f"test_accuracy: {test_accuracy * 100:.2f}") + print("\n") print( "epoch:% 3d, train_loss: %.4f, train_accuracy: %.2f, test_loss: %.4f, test_accuracy: %.2f" % (epoch, train_loss, train_accuracy * 100, test_loss, test_accuracy * 100) ) - print(f"best_test_accuracy: {best_test_accuracy * 100:.2f}") return state +def apply_hard_model(state, features, label): + def logits_fn(params): + return state.apply_fn({"params": params}, features, training=False) + + logits = logits_fn(state.params) + if isinstance(logits, list): + logits = jax.numpy.array(logits) + logits *= 1.0 + accuracy = jax.numpy.mean(jax.numpy.argmax(logits, -1) == label) + return accuracy + + +def apply_hard_model_to_data(state, features, labels): + accuracy = 0 + for (image, label) in tqdm(zip(features, labels), total=len(features)): + accuracy += apply_hard_model(state, image, label) + return accuracy / len(features) + + def get_config(): config = ml_collections.ConfigDict() config.learning_rate = 0.01 @@ -158,6 +325,25 @@ def get_config(): def test_noisy_xor(): - soft, hard, _ = neural_logic_net.net(lambda type, x: batch_nln(type, x)) - training_data, test_data = get_data() - trained_state = train_and_evaluate(soft, (training_data, test_data), get_config()) + rng = jax.random.PRNGKey(0) + rng, int_rng, dropout_rng = jax.random.split(rng, 3) + # Train net + soft, hard, symbolic = neural_logic_net.net( + lambda type, x, training: batch_nln(type, x, training) + ) + x_training, y_training, x_test, y_test = get_train_and_test_data(get_data()) + print(soft.tabulate(rng, x_training[0:1], training=False)) + + print(f"training_data.shape: {x_training.shape}") + print(f"test_data.shape: {x_test.shape}") + trained_state = train_and_evaluate( + int_rng, + dropout_rng, + soft, + (x_training, y_training, x_test, y_test), + get_config(), + ) + + # Check symbolic net + # _, hard, symbolic = neural_logic_net.net(lambda type, x: nln(type, x)) + # check_symbolic((soft, hard, symbolic), (training_data, test_data), trained_state) From be31460eab81558e07380b70f2843ba2578372d6 Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Fri, 27 Jan 2023 15:06:53 +0000 Subject: [PATCH 009/128] data --- tests/data/NoisyXORTestData.txt | 5000 +++++++++++++++++++++++++++ tests/data/NoisyXORTrainingData.txt | 5000 +++++++++++++++++++++++++++ 2 files changed, 10000 insertions(+) create mode 100644 tests/data/NoisyXORTestData.txt create mode 100644 tests/data/NoisyXORTrainingData.txt diff --git a/tests/data/NoisyXORTestData.txt b/tests/data/NoisyXORTestData.txt new file mode 100644 index 0000000..3ae1114 --- /dev/null +++ b/tests/data/NoisyXORTestData.txt @@ -0,0 +1,5000 @@ +0 1 1 0 0 1 1 0 1 1 1 1 1 +0 0 1 0 0 1 1 0 1 0 1 0 0 +0 0 0 1 0 0 0 1 0 0 1 0 0 +1 0 1 0 0 1 0 1 0 0 1 0 1 +0 0 1 0 0 1 1 0 0 0 0 1 0 +0 0 0 0 1 0 1 1 1 0 1 0 0 +1 0 1 1 0 0 0 0 0 1 0 0 1 +1 1 0 1 0 1 1 0 0 0 1 1 0 +0 0 0 1 0 1 0 0 0 0 0 1 0 +1 1 0 0 0 1 1 1 0 1 1 0 0 +0 1 1 0 1 1 0 0 1 1 0 0 1 +1 1 0 1 0 0 1 1 0 0 1 0 0 +1 1 0 0 1 0 0 1 1 0 0 1 0 +1 0 0 1 1 1 0 0 1 0 1 1 1 +1 1 1 0 1 1 1 0 0 0 1 1 0 +0 1 1 1 1 1 1 0 1 1 1 0 1 +1 1 0 1 1 1 0 0 0 1 1 1 0 +1 0 0 1 1 0 0 1 0 0 1 0 1 +1 1 0 0 0 0 1 0 1 0 0 0 0 +1 1 1 1 0 1 0 0 0 1 1 1 0 +0 1 0 0 0 0 1 1 1 1 0 0 1 +1 0 0 0 0 0 1 0 0 1 1 0 1 +0 1 0 0 1 1 0 0 1 0 1 1 1 +0 0 0 0 0 0 1 1 0 1 0 0 0 +1 0 0 1 0 0 0 1 1 1 1 1 1 +1 1 1 0 0 1 0 0 1 0 0 0 0 +1 0 0 1 1 0 0 0 0 1 0 1 1 +0 0 0 1 0 0 0 1 0 1 0 0 0 +0 0 1 1 1 1 0 0 1 1 0 1 0 +0 0 1 0 0 0 1 0 0 1 0 0 0 +0 1 1 0 1 0 1 1 1 0 1 0 1 +0 0 1 0 0 1 1 0 1 0 1 0 0 +0 1 0 0 1 0 0 1 0 1 1 0 1 +0 1 1 1 0 0 1 1 1 1 0 0 1 +1 0 0 1 0 1 0 1 1 0 0 0 1 +1 1 0 0 1 1 1 0 0 1 1 0 0 +1 0 0 0 1 0 1 0 0 0 1 0 1 +0 1 1 1 1 1 0 0 0 1 0 1 1 +0 1 0 1 1 0 0 1 1 1 1 0 1 +1 1 1 1 1 1 0 0 0 1 0 0 0 +1 1 1 1 0 1 1 1 1 1 0 1 0 +1 1 0 0 1 0 0 0 0 0 0 1 0 +0 1 1 1 1 0 1 0 0 0 0 1 1 +1 1 1 0 0 1 0 0 1 0 0 1 0 +1 0 1 0 0 1 0 0 1 0 0 1 1 +1 1 1 1 1 0 1 0 0 0 0 0 0 +1 1 0 0 0 1 0 1 0 0 1 1 0 +0 1 1 1 1 1 0 1 1 0 1 1 1 +1 1 1 0 0 1 0 1 0 0 0 1 0 +1 0 1 0 1 0 1 0 0 1 1 1 1 +1 0 0 0 1 0 1 0 1 0 1 1 1 +0 0 1 1 0 1 0 0 0 0 1 0 0 +1 0 1 0 0 0 1 0 0 1 1 0 1 +1 0 1 1 0 1 1 0 0 1 0 0 1 +1 1 1 1 1 1 0 0 1 0 0 1 0 +0 0 1 0 0 0 0 0 1 0 0 1 0 +0 0 0 1 0 1 1 1 0 0 1 1 0 +1 0 1 0 0 1 0 0 1 1 0 1 1 +1 1 1 1 0 1 0 0 0 0 1 1 0 +1 1 0 1 0 0 0 1 0 1 1 1 0 +1 1 0 1 1 0 1 0 1 1 1 1 0 +0 0 0 0 0 1 1 1 0 1 0 0 0 +1 1 1 1 1 1 1 0 1 1 0 0 0 +0 0 0 0 1 1 0 1 0 0 0 1 0 +1 0 1 1 1 0 0 0 0 1 0 1 1 +0 1 1 0 0 1 0 1 0 1 0 0 1 +0 0 0 0 1 1 0 0 0 0 0 1 0 +0 0 1 1 0 1 1 0 1 1 0 1 0 +0 0 1 0 0 0 1 1 1 0 1 1 0 +1 0 0 1 1 1 1 0 1 0 0 0 1 +1 1 0 0 0 1 1 0 0 0 0 0 0 +1 1 1 0 0 0 0 1 0 1 0 1 0 +0 1 0 1 1 0 0 1 1 0 1 1 1 +1 1 0 0 0 0 0 0 0 0 1 1 0 +0 1 0 1 1 0 1 0 0 0 1 1 1 +0 1 1 1 0 0 1 1 1 1 1 1 1 +1 0 0 1 0 0 1 1 1 0 1 1 1 +0 1 0 0 0 1 1 0 0 0 1 0 1 +0 0 1 1 1 0 0 0 0 1 1 0 0 +1 1 0 1 0 1 0 0 1 0 1 0 0 +1 0 0 1 0 1 0 1 1 0 0 1 1 +1 0 0 1 1 0 0 1 0 0 1 1 1 +1 1 1 0 1 1 1 1 0 1 1 0 0 +0 1 0 0 1 0 1 1 0 1 0 0 1 +1 1 1 0 1 1 1 0 1 0 0 0 0 +1 0 1 1 1 1 1 0 1 1 1 0 1 +0 1 0 0 1 1 1 1 1 0 1 0 1 +1 0 1 1 0 1 1 0 1 1 1 0 1 +1 0 0 1 1 0 0 0 0 1 1 1 1 +0 1 0 1 1 0 0 0 0 0 1 0 1 +0 0 0 0 0 0 0 1 1 0 0 1 0 +1 0 1 1 1 1 1 1 1 1 1 0 1 +0 0 1 1 0 1 1 0 1 1 0 1 0 +0 1 0 1 1 0 1 1 0 1 0 0 1 +0 0 0 1 1 1 1 0 1 0 1 1 0 +1 1 1 1 0 1 1 0 1 0 0 0 0 +1 0 0 1 0 0 0 0 0 1 0 0 1 +1 0 0 1 1 1 0 0 1 0 1 0 1 +1 0 0 1 0 1 1 1 0 1 0 0 1 +1 1 0 0 0 1 1 0 1 1 1 1 0 +0 0 1 0 0 0 1 1 0 0 0 0 0 +0 0 0 0 0 0 0 0 0 0 0 1 0 +1 1 0 0 1 0 1 1 0 1 1 1 0 +1 0 1 1 1 0 1 1 0 0 1 1 1 +1 0 0 1 1 1 0 0 0 1 1 0 1 +1 0 1 1 0 0 1 1 0 1 1 0 1 +1 1 1 1 1 1 1 0 0 1 0 0 0 +0 1 0 1 0 0 1 1 0 0 0 0 1 +0 1 1 0 1 1 1 1 0 1 0 1 1 +0 1 0 0 0 0 0 1 1 1 0 0 1 +0 1 0 0 0 0 1 0 1 0 0 0 1 +1 1 1 0 1 0 0 0 0 1 0 1 0 +0 1 0 0 0 1 1 0 1 0 1 1 1 +1 0 0 1 1 1 0 0 1 0 1 1 1 +0 0 0 0 0 1 1 0 1 1 0 1 0 +1 0 1 0 1 0 0 0 1 1 1 1 1 +1 0 1 1 0 0 1 0 1 1 0 0 1 +0 0 0 0 1 0 1 1 1 0 1 1 0 +0 0 1 0 1 0 0 0 0 1 1 0 0 +0 1 0 0 1 0 0 1 0 0 0 0 1 +1 0 1 0 1 0 1 1 1 1 1 1 1 +1 0 1 1 0 0 0 1 1 1 1 0 1 +0 0 0 1 1 1 0 1 0 0 0 1 0 +0 0 1 1 0 1 1 1 0 0 0 0 0 +1 0 0 0 1 1 1 0 1 1 0 0 1 +1 1 1 0 1 0 0 0 0 1 1 1 0 +1 1 0 1 1 1 0 0 1 0 1 1 0 +0 1 0 1 1 0 1 0 0 0 1 0 1 +0 1 0 1 1 0 0 0 0 0 1 1 1 +1 1 0 1 0 0 0 1 1 1 0 1 0 +0 0 1 1 1 0 0 0 1 0 1 0 0 +1 0 1 0 0 1 1 0 0 1 1 1 1 +1 1 1 1 1 1 0 0 0 0 0 0 0 +1 1 1 1 1 1 1 0 1 1 0 0 0 +1 1 1 1 1 0 1 1 1 0 1 0 0 +0 0 0 0 1 1 1 0 1 0 1 1 0 +0 0 1 1 0 1 1 1 0 0 1 0 0 +1 1 0 1 1 0 1 0 0 0 1 1 0 +1 0 0 1 1 1 0 1 1 0 0 0 1 +0 0 1 1 1 0 0 1 1 1 0 0 0 +0 1 1 1 0 0 1 1 0 1 1 0 1 +0 0 0 0 1 0 1 0 0 0 0 0 0 +0 0 1 1 1 0 1 0 1 0 1 1 0 +1 0 1 0 0 1 1 1 0 1 1 0 1 +1 1 1 1 1 1 1 1 1 0 0 1 0 +1 1 0 0 0 1 1 0 1 0 0 0 0 +1 0 1 0 0 1 1 1 1 1 1 1 1 +0 0 0 0 0 1 0 1 1 1 1 1 0 +1 0 0 1 1 1 1 1 1 1 1 0 1 +1 0 0 0 1 1 0 0 1 1 1 1 1 +1 1 1 1 1 1 1 1 1 0 1 0 0 +1 0 1 0 0 0 1 0 1 0 0 0 1 +1 1 1 0 0 1 1 0 1 1 1 1 0 +0 1 1 1 0 1 1 0 1 0 1 1 1 +1 1 0 0 0 1 1 0 0 1 1 1 0 +0 1 1 0 1 1 0 1 1 1 1 0 1 +1 0 0 1 1 0 0 1 0 1 1 0 1 +0 0 1 0 0 0 0 1 0 0 0 1 0 +1 1 1 0 0 0 1 1 1 1 1 0 0 +0 1 0 1 0 1 0 0 0 0 1 0 1 +0 0 0 1 0 1 0 1 1 0 0 0 0 +1 0 1 1 1 1 1 0 1 0 0 0 1 +0 0 0 0 0 1 0 1 0 0 0 0 0 +1 1 1 1 0 0 1 1 0 0 1 1 0 +1 0 1 0 0 0 1 1 1 0 0 1 1 +1 0 0 1 0 0 0 0 1 1 1 0 1 +1 1 1 1 0 0 1 0 0 1 0 0 0 +1 1 1 0 1 1 0 0 1 1 1 1 0 +0 1 1 0 0 1 0 0 1 1 0 1 1 +0 0 0 0 0 0 1 0 1 1 1 0 0 +1 1 1 0 0 1 0 1 0 0 0 0 0 +0 0 1 0 1 0 0 0 0 0 1 0 0 +0 1 1 1 1 1 1 1 1 1 0 1 1 +0 1 0 1 1 0 1 1 0 0 1 1 1 +1 0 1 1 0 1 0 0 0 0 1 1 1 +1 1 0 1 0 0 1 0 0 0 1 0 0 +1 0 0 0 1 0 0 1 0 0 0 1 1 +0 0 0 1 0 1 0 0 1 0 0 0 0 +0 1 1 1 1 0 0 0 0 0 1 0 1 +1 0 0 1 0 1 1 1 1 1 1 1 1 +0 1 0 0 0 1 1 1 1 0 0 1 1 +1 1 1 0 1 1 0 0 0 0 1 1 0 +1 1 0 1 1 1 0 0 1 0 0 1 0 +0 0 0 1 0 0 1 0 0 0 0 0 0 +0 1 0 0 0 1 1 1 0 0 0 1 1 +1 1 1 0 0 1 0 0 1 0 0 0 0 +0 1 0 1 1 1 1 0 1 1 0 1 1 +1 0 1 0 0 0 0 1 0 0 1 0 1 +0 1 0 1 1 0 1 1 1 0 0 1 1 +1 1 0 0 0 0 1 0 0 0 1 1 0 +1 0 1 1 1 0 1 0 1 0 0 1 1 +1 1 1 1 0 0 1 0 1 0 1 0 0 +0 0 1 0 0 0 1 0 1 1 0 0 0 +0 0 0 1 1 1 0 0 0 1 1 0 0 +1 1 0 0 0 0 1 0 0 1 0 0 0 +0 0 1 0 0 1 1 1 0 0 1 1 0 +0 0 0 1 1 0 1 0 0 0 0 0 0 +1 0 1 0 1 0 1 1 1 1 1 0 1 +0 1 1 0 0 1 0 0 0 1 1 1 1 +1 1 0 1 0 0 1 1 1 1 1 1 0 +1 1 0 1 0 0 0 1 0 0 1 0 0 +1 1 0 1 0 0 0 1 1 0 1 0 0 +1 0 0 0 1 1 1 1 1 0 1 1 1 +1 0 1 1 1 1 0 1 1 0 0 1 1 +1 0 1 1 1 0 1 1 0 1 0 1 1 +0 1 0 1 1 1 1 1 0 0 0 0 1 +0 0 0 1 1 0 0 1 1 0 0 0 0 +1 1 1 0 0 0 1 1 0 0 1 1 0 +0 1 1 1 0 0 0 1 1 0 1 0 1 +1 1 1 0 1 1 0 1 0 1 0 1 0 +1 0 1 0 0 0 1 1 1 0 0 1 1 +1 1 1 0 1 0 0 0 0 1 1 0 0 +0 1 1 1 0 0 1 1 1 1 1 0 1 +1 1 1 1 1 0 1 1 1 0 0 1 0 +1 1 1 0 1 0 0 0 0 0 1 0 0 +0 0 0 0 0 1 1 1 0 1 1 0 0 +0 0 1 0 0 0 0 1 1 1 0 1 0 +0 0 0 0 1 1 0 0 0 1 1 0 0 +0 1 0 1 0 1 1 1 0 1 1 1 1 +0 1 1 0 1 1 0 1 1 0 1 0 1 +1 0 1 1 0 0 1 0 1 0 1 0 1 +0 0 0 0 1 1 0 0 1 0 1 0 0 +1 1 0 1 0 1 1 0 1 0 0 1 0 +0 1 1 1 1 0 0 0 1 0 1 1 1 +1 0 1 0 0 1 1 1 1 1 1 0 1 +0 1 0 1 1 0 0 1 0 0 0 0 1 +1 0 1 1 0 1 1 0 0 0 1 1 1 +0 0 1 1 1 0 0 1 1 1 1 1 0 +0 1 1 1 0 1 1 1 1 1 0 0 1 +1 1 0 1 1 1 0 0 1 0 0 0 0 +1 1 0 1 0 1 0 0 1 1 1 1 0 +0 0 0 0 1 0 1 1 1 1 0 0 0 +0 1 1 0 0 0 0 0 1 1 1 0 1 +1 1 1 0 1 1 1 0 0 1 1 0 0 +1 0 1 0 0 1 0 0 1 1 0 0 1 +1 1 0 0 1 1 1 1 1 1 1 1 0 +1 0 1 1 1 1 1 0 1 1 1 0 1 +1 1 1 1 0 0 1 0 1 1 1 1 0 +0 1 1 0 1 1 1 0 0 0 0 0 1 +1 0 0 1 0 1 1 0 0 0 1 1 1 +0 1 1 0 1 1 0 0 0 0 0 1 1 +1 0 1 1 1 1 0 0 0 1 1 0 1 +1 0 1 1 0 0 0 0 1 0 1 1 1 +1 0 0 0 1 1 1 0 0 0 1 1 1 +1 0 1 1 0 1 0 1 0 0 0 1 1 +0 0 0 0 0 1 0 0 0 1 1 1 0 +1 0 1 1 0 1 0 0 1 1 1 0 1 +1 0 0 0 1 1 0 1 0 0 1 0 1 +1 1 1 1 1 1 0 1 0 1 1 0 0 +1 0 1 1 1 0 0 0 0 0 1 1 1 +0 0 0 1 0 0 1 1 0 0 0 1 0 +0 1 1 0 1 0 1 1 1 0 1 0 1 +1 1 1 0 0 0 0 1 0 0 1 0 0 +1 1 1 1 0 1 0 1 1 1 1 0 0 +0 0 0 0 1 0 0 0 0 0 0 0 0 +0 1 0 1 0 0 0 0 0 0 0 0 1 +0 1 0 0 0 1 0 0 1 1 1 0 1 +1 1 1 0 1 1 1 0 1 1 0 1 0 +1 0 0 1 1 1 0 0 1 0 1 1 1 +1 0 0 1 0 0 1 1 1 1 0 0 1 +1 0 0 1 0 0 1 1 0 1 1 1 1 +1 0 1 1 1 1 1 1 1 1 0 0 1 +1 0 1 0 0 0 1 1 1 0 0 1 1 +0 0 0 0 1 1 1 0 1 1 1 0 0 +1 1 0 0 1 0 0 1 1 0 1 0 0 +1 0 1 0 1 0 1 0 0 1 0 0 1 +1 1 1 0 1 0 1 1 0 1 1 0 0 +0 1 0 1 0 1 0 1 0 0 0 1 1 +0 0 1 1 0 1 0 1 1 1 1 0 0 +0 0 0 0 1 1 0 0 0 1 0 1 0 +0 1 0 0 0 0 0 1 0 0 0 1 1 +0 1 0 0 0 0 1 1 1 1 0 1 1 +0 0 1 1 0 1 0 0 0 0 1 0 0 +1 1 0 0 1 1 1 1 1 1 1 1 0 +1 1 1 0 0 0 0 0 0 0 0 1 0 +1 1 0 1 0 1 1 0 0 0 1 1 0 +0 0 0 1 1 1 0 1 0 0 0 0 0 +1 1 1 0 0 1 1 0 0 1 1 1 0 +1 1 0 0 1 1 1 1 1 0 0 1 0 +1 1 1 1 1 1 0 0 1 1 0 1 0 +1 1 1 1 0 1 0 1 1 0 1 1 0 +1 0 0 0 0 1 1 0 1 0 0 0 1 +0 1 0 1 0 0 1 1 0 1 1 1 1 +1 1 0 0 0 0 1 0 0 0 1 0 0 +0 0 1 0 0 0 1 0 1 0 1 0 0 +1 0 1 1 1 1 0 1 0 1 0 0 1 +0 1 1 1 0 0 1 0 1 1 1 0 1 +1 1 1 1 0 1 0 1 1 1 1 1 0 +0 0 1 1 0 0 1 1 0 1 1 0 0 +1 1 1 1 0 1 1 0 1 1 0 0 0 +1 0 0 0 0 1 1 1 1 1 0 0 1 +0 1 0 1 0 1 1 1 1 0 1 1 1 +0 0 1 1 1 1 0 1 1 1 1 0 0 +0 1 0 1 1 0 0 1 1 1 0 1 1 +1 0 1 0 1 1 0 1 0 0 0 0 1 +1 0 0 1 1 0 0 0 1 0 0 0 1 +0 1 0 1 0 1 1 1 1 0 0 0 1 +1 1 0 1 0 1 0 1 1 1 1 1 0 +0 0 0 1 0 1 0 0 1 0 1 0 0 +0 1 0 0 0 1 0 0 0 1 0 0 1 +1 0 0 0 0 1 1 1 1 1 0 0 1 +0 1 1 0 1 1 0 0 1 1 1 0 1 +1 0 0 1 0 0 0 1 1 1 0 1 1 +0 1 0 0 1 0 0 0 1 0 0 0 1 +0 1 1 0 0 0 0 0 0 0 1 1 1 +1 0 1 1 0 1 1 1 0 1 0 1 1 +1 0 1 0 0 1 1 1 0 0 0 1 1 +1 0 0 0 0 0 1 0 0 1 0 1 1 +1 0 0 1 0 1 1 0 0 0 0 0 1 +0 1 0 1 1 0 1 1 1 0 0 0 1 +0 0 0 1 1 0 1 1 0 1 0 0 0 +0 1 0 0 1 0 1 1 1 1 1 1 1 +0 0 1 0 0 1 1 0 0 1 0 1 0 +1 1 1 0 1 1 1 1 0 1 0 1 0 +0 1 0 0 0 1 1 0 0 0 1 0 1 +1 1 0 1 0 0 1 0 1 0 1 1 0 +0 0 1 1 1 0 0 0 0 0 1 0 0 +1 1 0 0 1 1 0 1 1 1 1 1 0 +1 1 1 1 0 0 0 0 0 1 1 0 0 +1 0 0 0 0 0 1 1 1 1 0 0 1 +1 1 1 0 1 0 0 1 1 1 0 1 0 +0 1 1 0 1 0 0 1 0 0 1 0 1 +0 0 1 0 0 1 0 0 0 1 0 1 0 +0 1 1 1 0 0 0 0 1 1 0 0 1 +0 1 1 1 0 0 1 1 1 1 0 0 1 +0 1 1 0 0 1 0 1 0 1 0 1 1 +0 1 0 1 1 0 1 0 0 1 0 1 1 +1 1 1 0 1 0 0 1 1 1 1 0 0 +1 1 0 1 0 0 1 0 1 1 1 0 0 +0 1 1 1 1 0 1 1 1 0 0 1 1 +1 0 0 1 0 0 0 1 1 1 0 0 1 +0 0 1 1 1 1 1 0 0 0 1 1 0 +0 1 1 0 1 0 0 1 0 0 0 1 1 +1 0 0 1 1 0 0 1 1 0 0 0 1 +1 1 0 0 1 1 1 1 1 0 0 0 0 +0 1 0 0 0 0 1 0 1 0 0 0 1 +1 1 1 0 1 0 1 0 0 0 1 0 0 +0 0 1 0 1 1 1 1 1 0 1 1 0 +0 0 0 0 0 1 1 1 0 1 0 0 0 +1 1 0 1 0 1 0 1 1 1 1 0 0 +0 1 1 0 0 0 0 1 0 0 0 1 1 +0 0 0 1 1 1 0 0 1 1 0 1 0 +0 1 0 1 0 0 1 0 1 1 1 0 1 +0 0 1 0 1 1 0 0 1 1 1 0 0 +1 0 0 0 0 0 0 1 1 0 0 0 1 +0 1 0 1 1 0 0 0 1 1 1 0 1 +1 1 0 0 0 1 1 0 0 0 0 0 0 +1 0 0 0 0 1 1 1 0 0 1 1 1 +1 1 0 0 1 1 1 0 1 0 1 0 0 +0 1 1 1 1 0 1 0 0 1 1 0 1 +1 0 0 0 1 0 0 1 1 0 1 1 1 +0 1 0 0 0 0 1 0 1 1 1 1 1 +1 0 0 1 1 0 1 0 0 1 0 0 1 +1 1 0 1 0 0 0 0 0 1 0 0 0 +0 1 0 1 0 1 0 1 1 0 1 0 1 +1 0 1 1 1 0 0 0 0 1 1 1 1 +1 1 0 1 0 1 1 1 1 0 1 1 0 +1 1 1 1 0 1 1 0 1 1 1 1 0 +1 0 1 0 1 0 1 0 0 1 0 0 1 +0 1 1 1 1 1 0 0 0 1 0 0 1 +1 0 1 0 0 0 0 1 1 1 1 0 1 +0 1 1 1 0 0 1 0 1 0 1 1 1 +1 1 0 1 0 1 1 1 1 1 0 0 0 +1 0 1 0 0 0 1 0 0 1 1 0 1 +1 0 0 0 0 0 1 1 1 1 1 0 1 +0 1 0 0 0 0 1 0 0 1 1 0 1 +1 1 1 1 1 1 1 0 1 1 0 1 0 +1 1 1 0 0 0 0 1 0 0 1 0 0 +1 0 1 1 1 1 0 1 1 0 1 1 1 +1 0 0 0 0 0 1 1 1 1 0 1 1 +1 1 0 1 0 1 1 0 1 1 1 0 0 +1 0 1 1 1 1 0 1 0 1 0 0 1 +1 0 0 1 1 1 1 1 1 1 1 0 1 +0 0 0 0 0 0 0 1 1 1 0 1 0 +1 1 1 0 0 0 1 0 1 0 1 0 0 +0 0 0 1 0 0 1 0 1 0 1 0 0 +1 1 1 0 1 0 1 0 0 1 0 0 0 +0 0 1 0 1 0 0 1 1 1 1 1 0 +1 1 1 0 1 1 0 1 1 1 0 0 0 +0 1 1 0 0 1 0 1 0 0 1 0 1 +0 0 1 0 1 0 1 1 0 0 0 1 0 +1 1 1 1 1 1 1 1 1 1 0 1 0 +0 1 1 1 1 0 0 1 1 0 0 1 1 +1 1 0 1 0 1 0 0 0 1 0 1 0 +1 0 0 1 0 1 0 1 1 1 0 1 1 +0 1 0 0 1 0 1 1 0 1 0 0 1 +0 1 0 1 1 1 0 0 0 0 1 0 1 +1 1 1 1 0 0 1 0 1 0 0 1 0 +0 1 1 0 0 0 1 1 0 1 0 0 1 +1 1 0 1 1 1 1 0 0 0 0 0 0 +0 0 1 0 0 0 1 1 0 1 1 1 0 +1 1 0 0 1 0 0 0 1 1 1 1 0 +0 1 1 0 1 1 1 1 1 0 0 1 1 +1 0 0 1 0 1 1 1 1 0 0 0 1 +0 1 1 1 0 1 1 0 1 0 1 0 1 +1 0 1 1 1 0 1 0 0 0 0 1 1 +0 0 1 1 0 1 0 0 1 1 0 0 0 +0 0 0 0 0 0 1 0 1 0 1 1 0 +0 0 1 1 1 1 1 0 1 0 1 0 0 +1 1 1 1 0 0 0 0 1 0 1 0 0 +0 0 0 0 0 0 1 0 1 0 1 0 0 +1 0 1 1 1 1 0 1 1 1 1 1 1 +1 1 0 1 0 0 1 1 1 0 1 1 0 +1 0 0 0 0 0 1 0 1 1 1 0 1 +1 1 0 1 0 1 0 1 1 1 0 0 0 +1 0 1 1 1 0 0 1 0 0 1 0 1 +1 1 0 1 0 0 1 1 1 1 0 1 0 +0 1 0 1 0 1 0 1 1 1 1 0 1 +0 1 1 0 0 1 0 1 0 0 0 1 1 +0 1 1 0 0 0 0 1 1 0 1 1 1 +1 0 1 1 0 0 0 0 1 0 1 0 1 +1 1 0 0 1 0 1 1 0 0 0 0 0 +0 0 0 1 1 1 0 1 1 1 0 1 0 +0 1 1 1 1 0 0 1 1 1 1 1 1 +0 0 1 0 0 0 1 0 1 1 0 0 0 +1 0 0 1 1 1 1 1 1 0 1 1 1 +1 1 0 0 1 0 1 0 0 0 0 1 0 +0 1 0 0 0 0 0 0 1 1 0 0 1 +0 0 0 0 1 1 1 0 0 0 0 1 0 +0 1 1 0 1 1 1 1 0 0 1 1 1 +1 0 1 0 1 1 0 1 0 1 1 0 1 +0 1 1 1 0 1 0 0 1 0 0 0 1 +1 0 1 1 1 0 1 0 1 0 0 1 1 +1 0 1 1 0 1 0 1 0 0 1 0 1 +0 0 0 1 1 0 0 0 0 0 1 0 0 +1 1 0 1 1 1 0 0 0 0 1 1 0 +1 1 0 0 0 1 1 1 1 1 1 0 0 +0 1 1 0 0 1 1 0 1 1 1 1 1 +1 0 0 0 0 1 0 0 0 1 0 1 1 +1 1 1 1 1 1 1 1 0 1 0 1 0 +1 1 0 0 1 1 1 1 0 0 0 1 0 +1 1 1 0 1 1 1 1 1 0 0 0 0 +0 0 0 0 1 0 0 0 1 0 1 1 0 +0 0 1 0 0 1 0 0 1 1 0 0 0 +0 1 1 1 0 0 0 0 0 1 0 1 1 +1 1 1 0 0 1 0 0 1 1 1 1 0 +1 0 1 0 1 1 0 0 0 0 0 1 1 +0 1 1 1 1 0 0 1 1 1 1 1 1 +0 1 1 1 0 1 0 1 0 1 1 0 1 +1 1 1 0 1 1 1 1 1 0 0 1 0 +1 0 0 1 0 0 1 0 1 0 1 0 1 +1 1 0 1 1 1 0 0 0 0 1 1 0 +0 1 0 0 1 0 0 1 1 0 1 0 1 +1 0 1 1 1 0 1 0 1 0 1 0 1 +0 0 0 1 1 1 1 1 0 1 0 1 0 +1 1 0 1 1 1 0 1 1 0 0 1 0 +1 0 0 1 0 0 1 0 1 1 1 0 1 +1 0 0 0 1 0 0 0 1 0 1 0 1 +0 0 0 1 0 0 1 0 0 1 0 1 0 +0 0 0 1 1 1 0 0 1 1 1 1 0 +0 1 1 1 0 1 1 1 1 1 1 0 1 +0 1 0 1 0 0 1 0 0 0 1 1 1 +0 0 0 0 1 1 1 1 0 1 1 0 0 +1 1 0 1 0 1 1 1 0 1 0 0 0 +1 1 1 0 0 0 0 1 1 0 1 1 0 +1 0 1 1 0 1 0 0 0 1 1 0 1 +0 0 1 1 1 1 0 0 0 1 0 1 0 +1 0 1 1 0 0 0 0 0 0 1 0 1 +1 0 1 0 0 0 0 1 0 0 1 0 1 +0 1 0 0 0 0 1 0 1 0 0 0 1 +1 1 0 0 1 1 1 0 0 0 1 0 0 +1 1 0 1 1 1 1 0 1 0 1 1 0 +0 1 1 0 1 0 1 1 1 0 0 0 1 +0 0 1 1 0 1 0 1 1 1 1 1 0 +1 1 0 0 1 0 1 0 0 1 1 1 0 +1 0 1 1 1 1 1 0 1 0 0 0 1 +1 0 1 0 0 0 0 0 1 0 1 1 1 +0 1 1 0 1 1 1 0 1 1 0 1 1 +1 1 1 0 1 1 0 0 0 0 0 0 0 +0 0 0 1 0 1 1 0 0 0 1 0 0 +1 0 1 0 0 1 1 0 0 0 0 1 1 +1 1 1 1 1 1 1 1 0 0 0 0 0 +0 1 1 0 0 0 0 1 1 1 0 1 1 +0 1 1 1 1 1 0 0 0 1 0 0 1 +1 0 0 1 0 1 0 1 0 0 1 0 1 +1 1 1 0 1 0 0 1 1 1 1 0 0 +0 1 0 0 1 1 0 0 0 0 0 0 1 +0 0 0 1 0 0 1 0 1 0 0 0 0 +1 0 1 0 0 0 1 1 0 0 0 0 1 +0 0 1 1 0 1 0 0 1 1 0 1 0 +1 1 1 1 1 0 1 0 1 0 0 1 0 +0 0 0 0 0 0 0 0 1 0 0 0 0 +1 0 0 0 0 1 1 1 0 0 1 0 1 +1 0 1 1 1 0 0 0 1 0 1 1 1 +0 0 1 0 1 0 0 0 1 0 0 1 0 +1 1 0 1 0 0 1 1 0 1 1 1 0 +1 1 1 0 0 0 0 0 0 0 1 0 0 +0 1 1 1 0 0 0 0 1 1 1 1 1 +0 0 1 1 1 0 1 0 0 1 1 1 0 +0 0 1 1 0 0 1 0 0 1 1 0 0 +0 0 0 1 1 0 0 1 1 1 0 0 0 +1 1 1 1 0 0 0 1 0 1 0 1 0 +1 1 1 0 1 0 0 0 1 0 0 0 0 +0 1 1 1 1 0 0 0 0 0 0 1 1 +1 1 1 1 0 1 0 1 1 1 0 0 0 +0 0 0 1 1 1 0 0 0 1 1 1 0 +0 1 0 0 1 1 0 1 1 1 1 0 1 +0 0 0 0 0 0 1 1 0 1 0 1 0 +1 1 0 0 1 0 0 0 1 0 0 0 0 +1 0 0 0 0 0 0 1 1 1 1 0 1 +0 1 0 0 1 0 0 0 0 1 1 0 1 +0 0 0 0 1 1 1 0 1 0 1 1 0 +1 1 0 1 1 1 0 1 1 0 0 0 0 +0 1 1 0 1 1 1 0 0 1 0 1 1 +1 1 1 1 1 0 0 1 0 1 0 0 0 +0 0 1 0 0 1 0 0 1 1 1 0 0 +1 1 1 1 1 1 0 0 0 0 1 1 0 +1 1 0 0 1 0 0 1 1 0 1 1 0 +0 0 0 1 0 0 1 0 1 0 1 1 0 +0 0 0 1 0 1 1 1 0 1 1 0 0 +0 1 1 1 0 1 0 0 0 1 0 0 1 +1 0 0 0 1 0 0 0 0 0 1 1 1 +1 0 1 1 0 0 0 0 0 1 0 1 1 +0 0 1 0 0 1 1 1 0 0 1 1 0 +0 1 0 0 1 0 0 1 1 1 0 1 1 +1 0 1 1 1 0 0 1 1 0 1 0 1 +0 0 0 0 0 0 1 1 0 0 0 0 0 +0 1 1 1 1 0 0 1 1 1 1 0 1 +1 0 1 1 1 0 0 1 0 0 1 1 1 +1 1 1 0 1 0 1 0 0 1 0 0 0 +0 1 0 0 0 1 0 1 1 0 1 0 1 +0 0 1 1 1 0 0 0 0 0 1 1 0 +1 0 0 1 1 0 1 0 0 0 1 0 1 +0 0 1 0 0 1 0 1 0 1 0 0 0 +1 0 0 1 0 1 0 0 0 1 0 1 1 +1 0 0 1 1 0 1 0 0 1 0 1 1 +1 0 1 0 0 0 0 0 1 0 1 0 1 +0 1 0 1 1 1 0 0 1 0 1 0 1 +1 1 1 0 0 1 1 0 0 1 0 0 0 +1 0 1 0 0 0 1 1 0 1 0 0 1 +1 1 1 1 0 1 0 0 0 1 1 0 0 +1 0 1 1 1 0 0 0 0 0 0 1 1 +0 1 0 0 1 1 1 1 1 1 1 1 1 +0 1 0 1 1 0 1 0 1 1 1 1 1 +0 0 0 0 1 0 0 1 0 0 0 0 0 +0 0 1 0 1 0 1 1 0 0 0 0 0 +0 0 1 0 1 0 1 1 0 1 0 0 0 +1 0 1 0 0 1 1 0 0 0 0 0 1 +0 0 1 0 0 0 0 1 0 1 1 0 0 +0 1 0 1 1 0 0 0 1 0 1 1 1 +0 1 0 0 1 1 1 1 1 1 0 1 1 +0 0 0 0 1 0 0 0 1 1 0 0 0 +0 1 0 0 1 1 1 1 1 1 1 1 1 +0 0 0 0 0 0 0 0 0 0 1 1 0 +0 1 1 0 1 1 0 0 1 1 0 0 1 +0 0 1 0 0 0 1 1 0 0 1 0 0 +0 1 0 0 1 0 0 1 0 0 1 0 1 +1 1 1 1 0 0 1 0 0 1 0 1 0 +1 0 0 0 1 0 0 0 0 1 1 0 1 +0 0 0 0 1 0 1 1 0 1 0 1 0 +1 1 0 0 1 0 1 1 1 1 0 1 0 +1 1 0 0 0 0 0 0 1 0 1 0 0 +0 1 0 0 0 0 1 1 0 1 0 0 1 +1 0 0 1 1 1 0 0 1 0 1 0 1 +0 1 0 0 1 1 1 0 0 1 0 0 1 +0 1 1 1 1 1 0 1 1 1 0 0 1 +0 0 1 1 0 1 1 1 0 1 1 1 0 +1 1 0 1 0 0 0 1 1 1 0 1 0 +0 1 1 1 0 0 1 0 1 1 0 1 1 +1 0 0 0 1 0 0 0 0 1 1 1 1 +1 1 0 1 0 0 0 1 0 1 1 1 0 +1 0 0 0 0 0 0 1 0 1 1 0 1 +0 1 0 0 1 1 0 1 1 1 0 1 1 +0 1 0 1 1 1 0 0 1 1 1 1 1 +0 0 0 0 1 0 0 1 1 0 1 0 0 +1 1 1 1 0 0 0 0 0 1 0 0 0 +0 0 1 1 1 1 1 1 1 0 1 1 0 +0 0 0 1 1 0 1 0 0 1 0 1 0 +0 0 1 1 0 0 0 0 0 0 1 1 0 +1 1 1 1 1 1 1 0 1 1 0 0 0 +0 1 1 0 0 1 0 0 1 0 0 0 1 +0 1 1 0 0 0 0 1 0 1 1 1 1 +0 0 0 0 0 0 1 0 0 1 0 1 0 +0 0 1 1 0 0 0 0 1 0 1 1 0 +0 0 1 1 0 0 0 0 0 1 0 1 0 +1 1 0 1 0 1 1 0 1 0 1 0 0 +1 0 0 1 0 0 1 0 1 0 1 0 1 +1 1 0 0 0 1 0 1 0 1 1 1 0 +0 1 0 1 1 0 1 0 1 0 1 1 1 +0 1 0 0 0 0 1 0 0 0 1 0 1 +0 0 0 1 0 1 0 1 1 1 1 1 0 +1 1 1 0 0 0 0 1 1 0 1 0 0 +1 1 0 1 0 0 1 1 0 0 1 1 0 +0 0 0 1 0 0 0 0 1 0 0 0 0 +1 1 0 1 0 1 1 1 1 1 0 0 0 +1 0 0 0 0 0 0 0 0 0 0 0 1 +0 1 1 0 1 0 1 1 0 1 0 1 1 +0 1 1 1 0 1 0 0 0 0 1 0 1 +1 1 1 0 1 1 0 0 0 1 0 0 0 +1 0 1 1 0 0 1 1 1 0 1 1 1 +1 1 1 1 0 0 0 0 0 0 0 1 0 +1 0 0 0 0 0 0 1 0 0 1 0 1 +0 1 1 0 0 0 0 1 1 1 0 1 1 +0 1 0 1 0 0 1 1 0 0 1 1 1 +0 0 0 1 1 1 1 0 0 1 1 1 0 +0 1 1 1 0 1 0 1 1 0 0 1 1 +1 0 0 0 0 1 0 0 0 1 1 1 1 +1 1 0 1 0 1 0 0 1 1 0 0 0 +0 0 0 1 1 0 1 0 1 1 1 0 0 +1 0 1 1 0 1 1 0 0 0 1 0 1 +1 1 0 1 0 1 0 1 1 1 0 1 0 +1 0 1 0 1 0 1 0 0 1 1 0 1 +1 1 1 0 0 1 0 0 1 0 1 1 0 +1 1 1 1 0 1 0 1 0 1 0 0 0 +0 0 1 1 0 0 1 1 1 1 0 0 0 +0 1 1 0 1 1 0 0 0 1 1 0 1 +1 0 0 1 1 0 1 1 1 0 1 1 1 +0 0 1 1 0 1 0 1 1 1 1 1 0 +0 1 0 0 0 1 1 0 0 1 1 0 1 +0 1 1 1 0 1 1 0 1 1 1 0 1 +0 1 1 1 1 0 1 1 0 1 0 0 1 +1 0 0 1 0 0 0 1 1 0 0 1 1 +1 1 0 0 0 1 1 0 0 0 0 0 0 +1 0 1 0 1 0 0 1 1 1 1 0 1 +0 1 0 0 1 1 0 0 0 1 1 1 1 +0 0 0 0 1 1 0 0 1 1 0 0 0 +0 1 0 0 1 0 1 1 0 1 1 1 1 +0 1 0 1 0 0 1 0 1 1 0 1 1 +0 1 1 1 1 1 0 1 1 1 1 0 1 +1 0 1 1 1 0 1 1 1 1 0 1 1 +1 1 0 1 1 0 1 0 0 0 1 0 0 +1 0 0 1 1 1 1 0 1 1 1 0 1 +1 0 0 1 1 0 0 1 1 1 1 0 1 +0 0 1 0 0 0 1 1 1 0 1 0 0 +0 0 0 1 1 1 1 0 1 1 1 0 0 +1 1 0 0 1 0 0 0 0 1 0 0 0 +0 0 1 0 0 1 0 0 1 0 1 0 0 +0 1 0 1 1 1 1 1 1 0 1 0 1 +1 1 1 1 0 0 0 0 0 0 0 0 0 +0 1 1 0 1 0 0 1 1 1 0 1 1 +0 0 0 0 0 1 1 0 1 1 1 1 0 +1 1 1 0 1 0 1 0 1 0 0 1 0 +1 1 1 0 0 0 0 1 0 1 1 0 0 +1 0 0 1 1 1 1 0 1 0 0 1 1 +0 1 1 1 0 0 1 0 1 0 0 0 1 +1 0 1 1 0 0 1 0 1 0 1 1 1 +0 1 1 0 1 0 1 0 0 0 0 0 1 +0 1 1 0 1 0 1 1 1 0 0 0 1 +1 0 0 0 1 1 1 1 1 1 1 0 1 +1 0 1 1 1 1 0 0 0 1 1 0 1 +0 0 1 1 1 1 1 1 1 1 0 0 0 +1 1 1 0 1 1 0 0 0 0 1 1 0 +1 0 1 0 0 0 1 0 0 1 1 0 1 +1 1 0 0 1 0 1 0 1 0 0 1 0 +1 1 1 0 0 1 0 1 0 0 1 1 0 +1 1 0 0 0 0 1 0 1 0 1 0 0 +1 0 1 1 1 1 0 1 0 1 1 0 1 +1 1 0 1 0 0 1 0 1 1 0 0 0 +0 0 0 1 1 0 0 0 0 1 0 1 0 +1 0 1 0 0 1 0 1 0 1 0 0 1 +1 0 0 1 1 0 0 0 1 0 0 1 1 +0 1 0 0 0 1 1 0 0 0 0 1 1 +1 1 1 1 0 0 0 1 1 0 1 1 0 +1 1 0 0 1 1 1 1 1 1 1 0 0 +0 0 0 1 0 0 1 0 0 0 0 0 0 +0 1 0 0 1 0 0 1 0 1 0 0 1 +1 0 1 0 0 1 0 1 1 1 1 1 1 +1 1 0 0 0 1 1 1 1 1 0 1 0 +1 0 1 1 0 1 0 1 0 0 0 0 1 +1 0 1 1 0 0 0 0 0 1 1 0 1 +0 1 0 0 1 0 0 0 1 0 1 1 1 +0 1 1 1 1 1 0 0 1 0 0 0 1 +1 0 1 0 0 0 0 1 0 0 0 1 1 +1 1 0 1 1 1 0 0 0 1 0 1 0 +0 1 0 1 0 1 0 0 0 0 1 1 1 +1 1 0 0 0 1 1 0 0 0 1 0 0 +0 1 1 1 0 0 1 0 1 1 1 1 1 +0 1 0 1 0 1 0 1 0 0 1 1 1 +0 0 0 1 0 1 1 1 1 0 1 1 0 +1 0 1 0 0 1 1 1 1 0 0 0 1 +0 1 0 0 0 1 0 1 1 1 0 0 1 +1 1 1 0 1 1 1 0 0 1 0 1 0 +1 1 1 0 0 0 0 1 0 1 1 0 0 +1 1 0 1 0 0 1 1 0 0 0 0 0 +1 0 0 0 1 0 0 1 1 0 0 0 1 +1 1 1 1 0 0 0 1 1 0 0 1 0 +0 1 1 1 1 1 1 1 0 0 0 0 1 +0 1 1 1 1 0 0 1 1 0 0 1 1 +0 1 1 0 1 1 0 1 0 1 0 0 1 +0 0 1 0 1 0 1 0 0 1 1 1 0 +0 1 0 0 0 0 0 0 1 0 0 1 1 +1 1 0 0 0 1 1 0 0 1 1 0 0 +1 1 0 0 0 0 0 1 1 0 1 0 0 +0 1 1 0 0 0 0 0 0 0 0 0 1 +1 0 1 0 0 0 1 1 1 0 0 0 1 +0 0 0 0 1 1 1 1 1 1 0 1 0 +1 1 1 0 1 1 1 1 1 0 1 1 0 +1 0 0 0 1 1 1 1 1 1 1 0 1 +1 0 0 1 1 1 1 1 1 1 0 0 1 +1 0 0 1 0 0 0 1 1 0 1 0 1 +1 1 0 1 0 0 0 0 1 1 0 0 0 +1 1 1 0 1 1 0 1 1 0 1 0 0 +0 0 1 1 1 0 0 1 1 0 1 1 0 +0 1 0 0 1 1 1 0 1 1 1 0 1 +0 1 1 1 1 1 1 1 0 0 0 0 1 +1 0 0 1 1 1 0 0 1 1 1 0 1 +0 0 1 0 1 0 1 0 1 0 1 1 0 +1 1 1 0 1 0 0 1 1 1 1 0 0 +1 1 0 1 1 1 0 1 1 0 0 0 0 +0 1 0 0 1 0 0 1 1 0 0 0 1 +0 0 1 1 1 0 1 0 0 0 1 1 0 +0 0 0 1 1 1 1 0 0 0 1 0 0 +1 1 0 1 1 0 0 0 1 1 0 0 0 +1 1 1 1 0 1 1 0 0 0 1 1 0 +1 0 0 0 0 1 0 1 0 0 1 1 1 +0 0 0 1 1 0 1 0 1 1 1 1 0 +0 0 0 1 0 0 1 1 0 1 0 0 0 +0 1 0 0 0 1 1 0 0 0 1 1 1 +0 1 1 0 1 1 0 1 1 1 0 0 1 +1 0 1 0 0 1 0 0 0 1 1 1 1 +1 0 1 0 0 1 1 1 0 1 0 0 1 +0 0 1 1 0 1 1 1 0 1 1 0 0 +0 0 0 1 1 1 0 0 0 0 1 1 0 +0 0 1 0 0 1 0 1 0 1 0 1 0 +0 1 1 1 1 1 0 1 1 0 0 1 1 +0 0 0 1 0 0 0 1 0 0 1 0 0 +1 1 1 0 0 0 0 0 0 1 1 0 0 +1 0 1 1 0 1 0 1 1 1 0 1 1 +1 1 0 1 0 0 0 0 0 1 1 1 0 +1 1 0 0 1 0 0 1 0 0 0 0 0 +1 0 1 1 0 0 0 1 0 0 1 1 1 +1 1 0 0 1 1 0 1 0 0 0 0 0 +1 1 0 0 1 0 0 1 1 0 1 0 0 +1 1 1 0 0 0 0 1 1 0 1 0 0 +1 0 0 0 1 1 1 0 1 0 1 0 1 +1 1 1 0 0 0 0 1 0 0 1 0 0 +0 0 1 1 1 0 1 1 0 1 1 0 0 +0 0 1 0 0 1 1 1 0 0 0 1 0 +1 0 0 1 0 0 1 0 0 1 1 0 1 +1 0 1 0 1 0 0 0 0 1 1 0 1 +0 1 0 0 1 1 0 0 0 0 0 0 1 +1 0 1 0 1 1 1 0 0 1 0 1 1 +0 0 1 1 0 0 1 0 1 0 0 0 0 +1 0 0 0 0 0 1 1 0 0 1 0 1 +0 0 1 0 0 1 0 0 1 1 1 1 0 +0 1 1 1 1 1 1 1 1 0 0 1 1 +0 0 1 0 1 0 0 0 0 0 1 0 0 +0 1 0 0 1 1 0 0 1 1 0 1 1 +0 1 0 1 1 0 0 1 1 0 0 1 1 +1 0 1 0 0 0 1 1 1 1 1 1 1 +1 1 1 0 0 0 1 1 0 1 1 1 0 +1 0 0 1 1 0 0 0 0 0 1 0 1 +1 0 0 0 0 1 1 0 1 1 0 1 1 +1 1 0 0 1 1 1 1 0 1 0 1 0 +1 1 0 0 1 1 0 1 1 1 0 1 0 +1 1 1 1 1 1 1 1 1 0 0 1 0 +1 0 0 0 0 1 0 0 1 0 0 1 1 +1 1 1 0 1 0 0 1 0 1 0 1 0 +1 0 0 0 1 0 0 1 1 0 0 0 1 +1 0 0 1 0 0 1 0 0 1 0 0 1 +0 1 0 1 0 1 1 1 0 0 1 1 1 +0 0 0 0 1 1 0 1 1 1 0 0 0 +1 1 0 0 0 0 1 0 0 1 0 0 0 +1 0 1 1 0 1 0 0 1 0 1 1 1 +1 0 0 0 1 1 0 1 1 0 0 0 1 +0 0 0 0 0 1 1 0 0 1 0 0 0 +0 1 1 1 0 1 0 0 1 1 1 0 1 +1 1 1 0 0 0 0 0 1 0 0 0 0 +0 0 0 1 0 1 1 0 0 1 1 1 0 +1 0 1 0 0 1 1 1 1 1 0 1 1 +1 0 0 1 0 0 0 1 1 1 0 0 1 +1 0 0 1 1 0 0 1 1 0 1 1 1 +1 0 1 0 0 0 1 1 1 0 1 0 1 +1 1 0 1 1 1 0 0 0 0 1 1 0 +1 0 1 1 0 1 1 1 0 0 0 1 1 +0 1 0 0 0 1 1 0 0 0 0 1 1 +0 0 1 1 1 0 1 0 1 1 1 0 0 +0 1 1 1 1 0 0 1 1 0 1 0 1 +0 0 1 0 0 0 0 0 0 1 1 0 0 +1 1 0 0 0 1 1 1 1 0 1 1 0 +1 0 1 1 1 1 1 0 1 0 0 1 1 +1 0 0 1 1 1 0 1 1 0 0 1 1 +0 0 1 0 0 1 1 1 0 0 0 0 0 +1 1 1 1 1 1 0 0 0 1 0 0 0 +0 0 1 0 1 1 0 0 1 0 1 0 0 +0 0 0 0 1 1 0 0 1 0 1 0 0 +1 0 1 0 0 0 1 1 0 0 1 1 1 +0 1 0 0 1 1 0 0 1 1 0 0 1 +0 0 1 1 0 0 0 1 1 1 0 0 0 +1 1 0 0 1 0 1 0 1 1 1 0 0 +0 0 1 0 1 0 1 0 0 0 1 1 0 +0 0 0 1 1 0 1 0 1 0 0 0 0 +1 1 1 0 1 0 0 0 0 0 1 1 0 +0 1 0 1 1 1 1 1 1 0 1 0 1 +0 1 0 0 1 1 0 0 1 0 1 0 1 +1 1 0 1 0 1 0 0 1 0 1 1 0 +0 0 1 0 1 1 0 0 0 0 0 0 0 +0 1 1 0 0 1 0 0 1 0 0 0 1 +0 1 0 0 0 1 1 0 0 1 1 0 1 +1 0 0 0 1 0 1 1 1 0 0 0 1 +1 0 0 1 1 0 0 1 1 0 0 1 1 +0 1 1 1 0 1 0 0 0 1 0 1 1 +1 1 0 0 1 0 0 0 0 0 0 0 0 +0 1 0 1 0 0 1 1 0 1 0 0 1 +0 1 1 1 0 0 1 0 1 1 0 1 1 +1 0 1 0 0 0 0 1 0 0 0 0 1 +1 1 0 1 0 0 0 1 0 0 1 1 0 +0 1 1 0 0 0 1 0 0 0 1 0 1 +0 0 1 1 0 1 1 0 1 0 0 0 0 +0 1 1 1 1 1 1 0 0 1 0 0 1 +0 1 0 1 0 0 0 1 1 0 1 1 1 +1 1 1 0 0 0 1 0 1 1 1 1 0 +0 1 0 1 0 1 1 0 1 1 1 0 1 +0 0 0 0 0 1 0 0 1 1 0 1 0 +1 0 0 0 1 0 1 0 1 1 0 1 1 +0 0 1 0 0 1 0 0 0 1 1 1 0 +1 0 1 0 1 0 1 1 0 0 0 1 1 +0 1 1 0 1 0 1 0 0 0 0 0 1 +1 1 0 0 1 1 1 1 1 1 1 1 0 +1 0 0 0 1 1 1 1 0 1 1 0 1 +0 0 1 1 1 1 0 1 0 0 0 0 0 +0 1 0 0 1 1 0 1 1 0 1 0 1 +0 1 1 1 0 0 0 0 0 1 0 1 1 +0 0 0 1 0 1 1 0 1 1 1 1 0 +1 0 0 1 0 1 1 0 0 0 1 1 1 +0 1 1 1 0 0 1 1 1 0 1 0 1 +1 1 1 1 0 0 0 0 0 0 0 1 0 +0 0 1 0 1 1 0 1 0 0 0 0 0 +0 0 0 0 1 1 0 0 0 1 1 0 0 +0 0 1 0 1 0 0 0 1 1 0 1 0 +1 0 0 1 0 0 0 0 0 0 1 1 1 +0 0 0 1 1 1 1 1 0 1 0 1 0 +1 0 1 0 0 0 1 1 1 0 1 0 1 +0 1 1 1 0 1 1 1 0 0 1 1 1 +1 1 1 0 0 1 0 0 1 1 1 0 0 +1 0 0 0 0 1 1 1 0 0 0 1 1 +0 1 1 0 1 1 0 1 1 0 1 0 1 +0 0 0 1 0 0 0 1 0 1 0 0 0 +0 1 1 0 1 0 0 1 1 1 0 1 1 +0 1 0 0 0 1 0 0 0 1 1 0 1 +1 0 0 1 1 0 1 0 0 1 0 0 1 +1 1 1 1 0 0 1 1 1 1 1 1 0 +1 0 0 1 0 0 1 0 1 0 1 1 1 +1 0 1 0 1 1 1 1 0 1 0 0 1 +0 1 0 0 1 1 1 1 1 1 1 1 1 +0 1 1 0 1 0 0 0 1 0 0 0 1 +1 0 0 0 1 0 1 0 1 0 1 1 1 +1 0 1 0 1 1 0 1 1 0 0 1 1 +0 1 1 0 1 1 0 0 1 0 1 1 1 +1 0 0 1 0 1 0 1 0 0 0 1 1 +0 1 0 1 0 1 1 0 0 1 1 1 1 +0 0 0 0 1 0 1 0 1 1 1 0 0 +0 0 0 1 0 0 1 0 1 0 1 1 0 +0 1 0 1 0 1 0 0 0 1 0 0 1 +0 0 0 0 0 1 0 1 1 0 1 1 0 +1 0 0 1 0 1 1 1 1 1 0 1 1 +0 0 1 1 1 1 1 0 0 1 1 0 0 +0 1 1 0 0 1 0 0 1 1 1 1 1 +0 0 0 0 1 1 1 1 1 1 0 1 0 +1 0 1 1 1 0 1 0 1 0 0 0 1 +1 1 0 0 0 0 1 0 1 0 0 0 0 +1 1 1 0 1 1 1 1 0 0 1 0 0 +1 0 1 0 1 1 1 1 1 1 0 0 1 +1 0 0 1 0 0 1 0 0 1 0 1 1 +0 1 0 1 0 1 0 0 1 0 0 0 1 +0 0 0 1 0 1 0 0 0 0 0 0 0 +1 0 0 0 1 1 1 1 1 1 1 0 1 +1 0 0 0 0 0 1 0 0 1 1 0 1 +0 0 0 0 0 1 0 0 1 0 1 1 0 +1 1 1 0 0 0 1 1 0 1 1 0 0 +0 0 1 0 1 0 1 1 0 1 1 1 0 +0 0 1 0 0 1 0 1 1 0 0 0 0 +1 0 1 1 1 1 0 0 1 1 1 1 1 +0 1 0 0 1 0 1 0 1 1 0 0 1 +0 1 1 1 0 0 0 1 1 0 1 1 1 +1 0 0 1 0 1 1 0 1 0 0 0 1 +0 0 0 0 0 0 1 0 1 0 0 1 0 +1 1 1 0 1 0 0 1 0 0 0 1 0 +0 0 0 1 0 1 0 1 0 1 0 0 0 +1 0 1 0 0 0 0 0 1 1 1 0 1 +1 1 1 1 0 0 0 1 1 0 0 1 0 +1 1 0 0 0 0 1 0 0 1 0 1 0 +1 1 1 1 0 1 0 0 0 0 0 0 0 +1 0 1 0 1 0 1 1 1 0 0 0 1 +1 1 0 1 1 0 0 1 0 0 0 1 0 +1 0 0 0 0 1 0 0 1 0 0 0 1 +0 0 1 0 1 0 0 0 0 0 1 1 0 +1 0 1 1 1 1 0 0 1 1 1 1 1 +1 1 1 1 0 0 0 0 0 0 0 1 0 +1 0 1 1 1 0 1 1 0 1 0 1 1 +0 1 0 0 0 0 0 1 1 0 0 1 1 +1 1 1 0 0 0 1 1 0 1 1 0 0 +1 1 1 0 0 1 1 1 0 1 1 1 0 +1 1 1 0 1 1 0 0 1 0 1 1 0 +0 0 1 0 1 0 0 1 0 0 1 0 0 +0 0 1 0 0 0 0 1 1 1 1 0 0 +0 1 0 1 0 1 1 0 1 1 1 0 1 +0 0 0 1 0 0 1 0 0 0 1 1 0 +1 0 0 0 0 0 1 1 0 0 0 1 1 +1 1 0 1 1 0 1 0 1 1 0 0 0 +1 1 0 0 0 1 0 0 1 1 1 1 0 +0 1 1 0 0 1 1 1 0 1 0 0 1 +1 1 0 0 1 1 1 1 0 0 1 1 0 +1 0 0 1 1 1 1 0 0 0 0 0 1 +1 0 1 1 0 0 0 0 0 1 1 1 1 +0 1 0 0 1 1 0 1 1 0 1 1 1 +1 0 1 0 0 0 1 0 0 1 1 0 1 +1 0 0 0 0 1 1 1 0 1 1 0 1 +1 0 0 1 1 1 1 1 1 0 0 1 1 +1 0 1 1 1 1 1 0 1 0 1 0 1 +1 0 0 0 0 1 0 1 0 1 1 0 1 +1 0 0 0 0 0 1 0 0 0 1 0 1 +1 0 0 0 0 0 0 1 1 0 0 0 1 +1 0 0 0 0 0 1 0 1 1 0 0 1 +1 0 0 1 0 0 0 1 0 0 1 0 1 +0 0 0 1 1 0 0 1 1 0 1 0 0 +1 1 0 1 1 0 0 0 1 1 1 1 0 +0 0 0 1 1 1 0 1 0 0 0 1 0 +1 1 0 0 1 1 1 0 0 1 1 0 0 +0 0 1 1 0 0 0 1 0 1 1 1 0 +1 1 1 0 0 1 0 0 1 1 1 1 0 +1 0 1 1 0 0 1 1 1 1 0 1 1 +0 1 1 0 1 0 1 0 1 0 1 1 1 +1 0 1 1 0 0 0 0 1 0 1 1 1 +0 0 0 1 1 0 0 0 1 0 1 0 0 +1 0 1 0 1 1 1 0 1 0 1 0 1 +1 1 0 1 0 0 1 1 1 0 0 0 0 +1 0 1 0 1 1 1 1 1 1 1 1 1 +1 0 1 1 0 1 0 0 0 0 0 0 1 +1 1 0 0 0 0 0 1 0 0 0 1 0 +1 1 1 0 1 0 0 1 1 1 0 0 0 +1 0 1 1 1 0 1 1 0 1 1 1 1 +0 0 1 0 1 1 1 0 0 0 1 0 0 +0 0 1 1 0 1 0 0 0 1 1 0 0 +1 1 0 0 0 1 0 1 1 1 1 1 0 +1 1 0 1 1 0 0 1 0 1 1 0 0 +1 0 0 1 1 1 1 1 1 0 0 0 1 +0 0 1 0 1 1 0 1 1 1 0 0 0 +0 1 1 0 1 0 1 1 1 0 0 1 1 +0 1 1 1 0 0 1 1 1 0 0 1 1 +0 1 0 1 0 1 0 0 0 1 0 0 1 +1 1 0 0 1 1 0 1 0 1 1 0 0 +0 1 1 1 1 0 0 0 1 0 0 0 1 +1 0 0 1 0 1 0 0 1 1 1 1 1 +1 0 1 1 0 1 1 0 1 0 1 0 1 +0 1 0 0 0 0 0 0 0 1 1 1 1 +1 1 1 1 1 1 0 0 0 1 1 0 0 +0 0 1 0 0 0 0 1 1 0 0 1 0 +0 1 0 0 0 0 0 0 0 0 1 0 1 +0 1 0 1 1 0 1 1 0 1 0 0 1 +0 1 1 1 1 0 0 0 0 0 0 0 1 +1 1 0 1 0 1 1 1 0 1 1 0 0 +0 1 1 0 0 0 0 1 0 1 1 0 1 +1 0 1 0 1 0 1 1 1 0 1 0 1 +1 0 0 1 1 1 0 1 0 1 0 1 1 +0 1 0 0 1 0 1 0 1 0 0 0 1 +0 0 0 1 1 0 1 1 0 0 1 0 0 +0 0 1 1 1 1 1 1 0 0 0 1 0 +0 0 1 1 0 0 1 1 0 1 1 1 0 +1 1 1 1 0 0 1 0 0 1 0 1 0 +0 1 0 1 0 0 0 1 0 1 1 0 1 +1 0 0 0 0 0 1 0 1 1 1 0 1 +1 1 1 1 0 0 1 0 1 0 1 0 0 +0 1 0 1 0 1 0 1 1 1 1 1 1 +1 1 0 0 0 0 0 0 1 0 1 1 0 +1 1 1 1 1 0 1 1 1 1 0 1 0 +0 0 1 0 1 0 1 1 1 1 1 1 0 +1 1 1 0 1 0 1 1 0 1 0 1 0 +0 1 0 1 0 0 0 0 0 0 0 1 1 +0 0 0 1 1 1 1 1 0 0 1 1 0 +1 0 0 0 1 0 0 1 0 1 0 0 1 +0 1 0 1 0 1 1 1 1 0 1 1 1 +0 1 0 0 0 0 0 1 1 0 0 0 1 +0 1 0 0 1 0 1 1 0 1 0 0 1 +1 1 1 1 1 1 1 0 0 1 0 0 0 +1 0 1 1 1 0 1 0 1 0 1 0 1 +0 1 0 0 0 0 0 1 1 0 1 1 1 +0 0 1 0 1 1 0 1 1 0 1 1 0 +0 1 0 1 1 0 1 1 0 1 1 1 1 +0 1 0 0 1 0 1 1 1 1 1 1 1 +1 1 0 0 0 0 1 0 1 1 1 1 0 +0 0 1 1 1 0 0 1 0 1 1 0 0 +1 1 1 0 0 1 1 0 1 1 0 0 0 +1 0 0 0 0 1 0 0 1 1 1 1 1 +0 1 0 1 1 1 1 1 0 1 0 1 1 +1 1 0 1 1 0 1 0 1 1 0 0 0 +0 1 1 1 1 1 1 1 1 1 0 0 1 +0 1 0 1 1 1 0 0 0 1 0 1 1 +0 1 1 1 1 1 1 0 0 0 1 1 1 +0 0 1 0 0 1 1 0 0 0 1 0 0 +0 1 0 1 0 0 0 1 1 1 1 1 1 +0 0 1 1 1 0 1 0 1 0 0 0 0 +1 0 0 0 0 1 0 1 1 0 0 1 1 +1 0 0 0 0 0 1 0 1 0 0 1 1 +0 1 1 0 0 0 0 0 0 0 1 0 1 +1 0 0 1 1 0 0 1 0 0 1 1 1 +0 0 1 1 0 0 1 1 0 1 0 0 0 +0 0 0 1 1 0 0 1 1 0 0 0 0 +1 0 0 1 0 1 1 0 0 1 0 0 1 +1 0 1 0 0 0 1 1 1 0 0 1 1 +0 1 0 1 0 0 0 0 1 1 1 1 1 +1 1 0 1 0 0 1 1 0 0 0 0 0 +0 0 0 0 1 0 0 1 0 1 1 1 0 +0 1 0 0 0 0 1 0 1 0 0 0 1 +1 1 0 1 0 0 0 1 1 0 0 0 0 +1 0 1 1 0 0 1 0 1 0 1 1 1 +0 0 1 0 1 0 0 0 0 0 0 1 0 +1 1 1 1 0 0 0 0 1 0 1 0 0 +1 1 0 1 1 0 0 0 0 1 0 1 0 +0 1 1 1 1 0 1 1 0 0 1 1 1 +0 1 0 0 0 0 0 0 1 0 1 0 1 +0 1 0 0 1 1 0 0 1 1 1 1 1 +1 0 1 1 1 1 1 1 0 0 1 1 1 +0 1 0 0 0 1 1 0 1 0 0 0 1 +1 0 0 1 0 1 0 1 1 1 1 1 1 +1 1 1 1 0 1 0 1 1 0 1 0 0 +1 1 1 0 1 1 0 0 1 1 1 1 0 +1 1 1 1 1 1 1 0 0 0 0 1 0 +1 1 0 0 0 0 0 1 0 0 1 0 0 +1 0 0 0 0 1 0 0 1 1 0 1 1 +0 1 1 0 0 1 1 1 1 1 1 0 1 +1 1 0 1 1 0 1 0 1 1 0 1 0 +1 0 1 0 0 1 0 0 0 1 0 0 1 +0 1 1 0 0 0 1 1 0 0 0 1 1 +0 0 1 1 1 0 0 0 0 1 1 0 0 +0 0 0 1 0 0 1 1 0 0 0 1 0 +0 0 0 1 0 0 1 0 1 0 1 1 0 +1 0 0 1 0 1 0 1 1 1 0 0 1 +1 0 0 0 1 1 1 1 0 0 1 1 1 +0 0 1 0 0 1 0 1 0 1 0 1 0 +1 1 1 0 0 0 0 0 0 0 1 1 0 +0 1 1 0 1 0 0 1 1 0 1 0 1 +1 1 1 0 1 0 0 0 1 0 0 0 0 +0 1 0 1 1 1 0 0 0 1 1 0 1 +1 1 1 1 1 0 1 1 1 1 0 1 0 +0 0 1 0 1 1 1 1 0 0 1 0 0 +0 1 1 1 1 1 0 1 0 1 1 1 1 +1 1 0 1 0 1 1 1 1 1 1 1 0 +0 0 1 1 0 0 0 0 1 0 1 0 0 +1 1 0 1 0 0 1 0 0 1 0 0 0 +0 0 0 1 1 1 1 1 1 1 1 0 0 +1 1 0 1 0 0 0 1 0 1 0 0 0 +1 0 1 1 0 0 0 1 1 0 1 0 1 +1 0 1 1 0 1 1 0 0 0 0 0 1 +0 1 1 1 0 0 0 0 1 1 0 0 1 +0 0 1 0 1 1 1 0 0 0 1 0 0 +1 1 1 0 1 0 0 0 0 0 0 0 0 +0 1 0 1 0 0 0 1 1 1 1 1 1 +1 0 0 1 1 0 1 0 0 1 1 0 1 +1 0 0 0 0 0 1 0 0 1 0 0 1 +1 1 1 0 1 0 1 0 1 1 1 1 0 +1 0 0 1 0 1 0 0 1 1 0 0 1 +0 0 1 0 1 0 1 1 1 0 1 0 0 +1 1 1 1 1 1 0 0 0 0 0 0 0 +1 1 0 0 1 1 0 1 0 1 1 0 0 +1 0 0 1 1 1 0 0 1 0 1 0 1 +1 1 1 0 0 0 0 0 0 0 1 1 0 +0 1 1 1 0 1 0 1 0 1 0 0 1 +1 0 1 0 0 1 1 1 0 0 0 1 1 +1 0 1 1 0 1 0 0 0 1 0 1 1 +1 0 0 1 1 0 0 1 1 1 0 1 1 +1 0 0 0 0 0 1 0 0 1 0 0 1 +0 1 0 1 0 1 0 0 0 0 1 1 1 +0 0 1 1 0 1 1 0 0 0 1 1 0 +0 1 0 1 0 0 1 1 1 1 0 1 1 +0 0 1 1 0 1 0 1 0 0 1 1 0 +1 1 1 1 1 1 0 0 0 0 1 1 0 +1 0 1 0 1 0 1 0 1 1 0 1 1 +1 1 0 1 0 0 1 0 0 1 0 0 0 +0 1 0 0 1 0 1 1 0 0 1 0 1 +0 0 0 1 1 0 1 1 0 1 1 1 0 +0 0 1 0 0 0 0 0 1 1 0 1 0 +1 1 1 1 1 1 1 1 0 1 1 1 0 +0 1 0 0 1 0 0 0 1 0 0 1 1 +1 1 1 0 0 1 0 1 1 0 0 1 0 +1 0 0 0 1 0 0 1 0 0 0 1 1 +0 1 0 1 0 1 0 0 0 0 1 1 1 +0 0 0 1 0 1 0 0 1 0 0 1 0 +0 1 1 0 1 1 1 0 1 1 1 0 1 +1 1 1 1 1 1 1 1 1 1 0 0 0 +1 0 0 1 0 0 1 0 1 0 1 1 1 +1 1 1 1 0 0 1 1 1 0 0 1 0 +0 0 1 1 1 0 1 0 0 1 0 0 0 +1 1 0 0 1 0 0 1 1 0 1 0 0 +0 1 1 1 0 1 0 1 1 0 1 1 1 +0 0 0 1 1 0 0 0 0 0 1 1 0 +0 1 0 1 1 1 0 0 0 1 1 1 1 +1 1 0 1 1 0 0 0 1 1 0 1 0 +1 0 1 0 1 0 1 1 0 0 0 1 1 +1 0 1 0 1 1 1 1 1 0 1 0 1 +0 1 0 1 0 0 0 0 1 0 0 0 1 +0 1 1 0 0 0 1 1 1 1 0 0 1 +1 1 0 1 0 0 0 0 1 0 1 0 0 +1 1 0 0 1 1 0 0 0 0 1 0 0 +1 0 0 1 0 1 1 0 0 0 0 1 1 +1 0 1 1 1 0 0 0 0 1 1 1 1 +1 1 0 1 0 1 0 0 1 1 1 0 0 +0 1 1 1 0 1 1 1 1 0 1 0 1 +0 1 1 1 1 1 0 0 0 1 0 0 1 +1 0 1 1 0 1 1 0 1 0 0 1 1 +1 0 1 1 0 0 1 0 1 0 1 0 1 +0 1 0 0 1 1 1 0 0 1 1 0 1 +0 0 1 0 0 1 0 1 0 0 1 0 0 +0 0 1 1 1 1 1 1 1 0 0 0 0 +0 0 1 0 0 0 0 1 0 1 1 1 0 +1 0 1 1 1 1 0 1 0 0 0 1 1 +0 0 0 0 0 0 0 0 1 0 0 1 0 +1 0 0 0 0 1 0 1 0 1 0 0 1 +0 0 1 1 1 1 0 1 0 1 1 0 0 +0 1 1 1 0 0 0 1 0 0 1 0 1 +1 0 0 1 1 0 0 1 0 1 0 1 1 +0 1 1 1 0 0 1 0 0 0 0 1 1 +1 1 1 1 1 1 1 1 0 0 1 1 0 +0 0 0 0 0 0 0 1 0 0 1 1 0 +1 0 0 1 0 1 1 0 0 1 1 0 1 +0 0 1 1 0 0 1 1 1 0 1 0 0 +1 1 0 1 1 1 0 0 1 0 1 1 0 +1 0 0 0 1 0 1 1 0 1 0 1 1 +1 0 1 1 1 0 0 1 1 1 0 0 1 +0 0 1 1 1 0 1 0 1 0 0 0 0 +1 1 0 0 1 0 1 0 1 1 1 0 0 +0 0 0 1 0 1 1 1 0 0 1 0 0 +0 1 0 1 1 0 0 0 0 1 1 1 1 +1 0 1 0 0 0 1 0 0 0 1 1 1 +1 0 0 0 1 1 1 1 1 1 1 0 1 +1 1 0 0 0 1 1 1 1 1 0 1 0 +1 1 1 0 1 0 1 0 0 0 0 1 0 +1 1 0 1 1 0 0 1 1 1 1 0 0 +0 1 1 1 1 1 0 1 0 0 1 0 1 +1 0 1 1 1 1 1 1 0 1 0 0 1 +0 0 1 0 0 1 1 1 0 0 1 1 0 +1 0 0 1 1 0 0 1 0 1 1 0 1 +1 1 0 1 0 0 1 0 0 0 1 1 0 +0 0 1 1 0 0 0 0 0 1 1 1 0 +1 1 0 0 1 0 1 0 0 1 1 0 0 +0 0 1 1 0 1 1 0 1 0 0 1 0 +1 1 0 1 1 0 1 1 0 0 1 1 0 +0 0 0 0 1 0 0 1 1 1 1 1 0 +1 0 1 1 1 1 1 1 0 0 1 1 1 +1 0 0 1 0 0 0 1 0 1 0 0 1 +1 0 0 1 0 0 0 0 0 0 1 1 1 +1 0 1 1 1 1 0 1 0 0 0 0 1 +0 0 1 0 0 0 0 1 1 0 1 1 0 +1 0 0 0 1 0 1 0 1 0 1 1 1 +0 0 0 1 1 1 1 1 0 0 0 1 0 +0 0 1 0 0 1 0 1 1 1 1 0 0 +1 0 1 0 0 1 1 0 1 0 0 1 1 +0 1 1 0 1 1 0 0 0 1 1 0 1 +0 0 1 0 0 1 1 0 1 1 0 0 0 +1 0 0 0 0 0 0 1 0 0 1 0 1 +1 0 0 1 1 0 1 1 1 0 1 0 1 +0 1 0 0 1 1 1 0 0 1 0 0 1 +0 0 1 1 0 0 1 1 1 0 1 1 0 +1 0 0 1 0 0 0 1 0 0 1 0 1 +0 1 0 1 0 0 1 0 1 1 0 0 1 +0 1 0 1 1 0 0 1 1 0 1 0 1 +0 1 1 0 1 1 1 0 0 0 0 0 1 +1 1 1 0 0 0 0 0 0 1 1 0 0 +1 1 0 1 0 1 1 0 1 0 0 0 0 +1 0 0 0 1 0 0 1 1 0 0 0 1 +1 0 0 0 0 0 1 0 0 0 1 1 1 +0 1 0 0 0 1 0 0 0 0 0 0 1 +1 0 1 1 0 1 0 1 0 0 1 0 1 +1 1 1 0 0 0 0 0 0 0 1 0 0 +1 1 1 0 1 1 0 1 1 1 0 1 0 +0 0 0 1 0 1 1 1 0 1 1 0 0 +0 0 1 0 0 1 0 1 1 0 0 0 0 +1 1 1 0 0 0 0 0 0 1 1 1 0 +1 1 1 0 0 1 1 1 1 1 1 0 0 +1 0 1 0 1 0 1 1 1 1 0 0 1 +0 0 0 1 1 0 0 1 1 1 0 1 0 +0 1 1 1 1 1 1 0 0 1 1 0 1 +1 1 0 1 1 1 1 0 0 1 0 0 0 +1 0 0 0 1 1 1 1 1 1 0 1 1 +0 1 1 1 0 1 1 0 0 1 0 1 1 +1 1 1 0 1 0 0 1 0 1 0 0 0 +0 1 1 0 1 1 0 0 0 0 1 0 1 +0 0 0 0 0 0 1 1 0 1 1 0 0 +1 1 1 0 1 1 0 0 1 1 1 0 0 +0 1 1 1 0 0 1 1 1 1 1 0 1 +1 1 1 1 0 0 0 0 0 1 0 0 0 +0 0 1 0 1 1 1 1 0 1 0 0 0 +0 0 0 1 0 0 0 1 0 0 0 0 0 +1 0 1 1 0 1 0 0 1 1 1 1 1 +0 0 1 0 0 0 1 1 0 0 1 0 0 +1 0 1 1 0 1 1 0 1 1 1 0 1 +1 0 0 1 1 1 0 1 1 0 0 0 1 +1 1 0 0 1 0 0 1 0 0 1 1 0 +0 0 0 0 0 1 1 0 0 0 0 1 0 +1 1 1 0 1 1 0 1 0 0 0 1 0 +1 1 1 1 1 1 0 0 0 1 1 1 0 +0 1 1 1 1 1 0 0 1 0 1 1 1 +1 0 0 1 1 0 1 0 0 0 0 1 1 +1 1 1 0 0 1 1 0 1 1 1 0 0 +1 0 1 0 0 0 0 0 1 1 0 1 1 +1 1 0 0 1 1 0 0 1 1 0 0 0 +0 0 1 0 0 1 0 1 0 0 1 1 0 +0 1 1 0 1 0 1 0 0 0 1 0 1 +1 0 1 0 0 0 1 1 0 0 0 0 1 +1 1 0 1 1 1 1 1 1 0 1 1 0 +1 0 1 1 1 1 1 0 1 1 0 1 1 +1 0 1 0 1 0 0 1 1 1 0 1 1 +0 0 0 0 1 0 1 1 1 1 1 1 0 +1 0 0 1 0 0 0 0 1 1 1 0 1 +1 0 1 0 0 1 0 0 1 1 0 1 1 +1 1 0 1 1 1 1 0 0 1 1 0 0 +0 1 1 0 0 1 0 0 0 1 1 1 1 +0 0 1 0 1 0 0 1 1 0 0 1 0 +1 1 1 0 0 1 1 0 1 1 0 0 0 +0 1 0 1 0 1 0 0 0 0 1 0 1 +1 1 1 0 0 0 1 1 1 0 1 0 0 +0 0 1 0 0 0 0 0 1 0 0 1 0 +1 0 0 0 1 1 0 1 1 1 1 1 1 +1 1 0 0 0 0 0 0 1 0 0 0 0 +1 0 1 1 1 0 1 0 1 0 0 1 1 +1 1 0 1 0 0 1 0 1 1 0 0 0 +1 0 1 0 0 1 0 0 1 1 1 0 1 +0 0 1 1 0 1 0 0 0 1 1 0 0 +0 1 0 1 0 0 0 1 0 1 0 1 1 +0 0 0 1 1 0 0 1 1 0 1 0 0 +0 1 1 0 0 0 0 1 1 0 1 0 1 +1 0 0 1 1 1 0 1 1 0 1 1 1 +1 0 0 0 1 0 0 1 1 1 0 0 1 +0 0 0 0 1 1 1 0 0 1 0 0 0 +1 0 0 0 0 0 1 0 1 0 0 0 1 +1 0 1 1 1 0 0 1 1 0 1 0 1 +1 1 0 1 0 0 1 0 1 0 1 0 0 +0 1 1 1 1 1 0 0 0 0 1 1 1 +1 0 1 0 1 1 0 1 1 0 0 0 1 +0 0 0 0 1 0 1 1 1 0 1 1 0 +1 1 1 1 0 0 0 1 1 0 1 1 0 +1 1 0 0 1 0 1 1 1 0 1 0 0 +1 1 1 0 0 1 0 1 0 1 1 1 0 +0 0 1 1 1 0 0 1 0 1 0 0 0 +0 1 0 1 0 1 1 1 1 1 0 1 1 +0 1 0 0 0 1 0 1 0 1 1 0 1 +1 1 1 0 1 0 1 1 1 0 1 0 0 +0 1 0 1 1 0 0 0 1 0 0 1 1 +1 0 0 0 0 0 1 0 0 1 1 1 1 +1 1 0 1 1 0 1 0 0 1 0 0 0 +0 0 1 0 0 1 1 1 0 1 1 0 0 +0 1 1 1 1 0 1 0 1 0 1 1 1 +0 1 1 1 0 0 0 1 1 0 1 1 1 +1 0 1 0 0 0 1 0 0 0 1 0 1 +1 1 1 1 0 0 0 0 0 1 1 1 0 +1 0 1 1 0 1 0 0 0 0 1 1 1 +1 1 1 0 0 1 0 0 0 0 1 1 0 +1 0 1 1 0 0 0 0 0 1 0 1 1 +0 1 0 0 1 0 0 0 1 1 0 0 1 +1 1 0 1 0 0 0 1 1 1 0 0 0 +0 1 1 0 1 0 0 0 0 1 0 0 1 +1 1 1 1 1 1 0 1 1 1 0 0 0 +1 0 1 0 0 0 0 0 1 1 1 0 1 +1 0 1 0 0 0 1 0 1 1 1 0 1 +0 1 1 0 0 1 1 0 1 0 0 0 1 +1 0 0 0 0 0 1 0 0 0 1 0 1 +1 1 0 1 0 1 0 0 1 1 1 0 0 +0 0 0 0 1 1 0 0 0 0 1 1 0 +0 1 0 0 1 0 1 1 0 0 0 0 1 +1 1 1 0 0 1 0 0 1 0 1 0 0 +0 1 1 1 1 0 0 0 0 1 0 0 1 +0 0 1 0 1 1 0 1 0 1 1 1 0 +0 1 0 0 0 1 1 0 0 0 0 1 1 +0 0 0 0 0 0 1 1 0 0 0 1 0 +0 0 1 0 0 1 1 1 0 0 0 1 0 +1 0 1 0 0 0 1 1 0 1 0 0 1 +1 0 1 1 0 1 1 0 0 0 1 0 1 +0 1 1 0 0 1 0 0 1 1 1 1 1 +0 1 0 0 0 0 1 1 1 0 0 1 1 +0 1 0 1 0 1 0 0 0 1 0 1 1 +0 1 1 0 0 0 0 1 1 1 1 0 1 +0 1 1 0 0 1 0 0 0 0 1 1 1 +1 1 0 1 1 1 0 0 1 1 1 1 0 +0 1 0 1 1 1 0 1 0 0 1 1 1 +1 1 1 1 1 1 0 1 0 0 1 1 0 +1 1 0 1 1 1 1 0 1 1 1 1 0 +0 1 0 0 0 0 0 0 1 1 0 1 1 +0 1 1 0 1 0 0 1 1 0 0 0 1 +1 0 0 0 0 1 1 0 0 0 0 0 1 +0 0 0 1 1 0 1 0 0 1 0 0 0 +1 1 1 0 0 1 1 0 1 1 0 1 0 +1 1 0 0 1 0 1 0 0 1 1 0 0 +0 1 1 1 0 1 0 1 0 0 1 0 1 +1 0 0 0 0 0 0 0 1 0 1 0 1 +0 0 1 0 0 1 1 0 1 1 0 1 0 +1 0 1 1 1 1 1 0 0 0 1 0 1 +0 0 0 1 1 1 0 1 1 0 1 1 0 +0 0 1 0 0 1 0 0 1 1 0 1 0 +1 0 1 0 1 1 0 1 1 1 1 1 1 +1 0 0 0 0 0 1 1 1 1 1 1 1 +1 1 0 1 1 1 1 1 1 1 0 0 0 +0 1 1 0 0 1 1 1 0 1 1 1 1 +1 1 0 1 0 1 0 1 0 1 0 0 0 +1 1 1 1 1 1 1 1 0 1 1 0 0 +0 0 1 0 1 0 1 1 1 1 0 0 0 +0 0 1 1 0 0 1 0 1 0 1 0 0 +0 1 0 0 1 1 0 0 1 1 0 0 1 +0 1 1 0 1 0 1 1 0 0 0 0 1 +0 0 0 0 0 1 0 1 0 0 1 0 0 +0 0 1 1 1 0 1 1 1 1 0 0 0 +0 0 0 1 1 1 1 1 1 1 0 0 0 +1 0 1 0 0 1 1 1 0 1 1 1 1 +1 1 1 0 1 0 1 0 0 0 0 0 0 +0 0 0 0 0 0 1 1 0 0 0 1 0 +0 0 1 0 0 0 1 1 0 0 0 1 0 +1 0 0 1 1 0 1 0 1 1 0 0 1 +1 0 1 1 0 0 1 0 1 1 1 0 1 +0 0 1 1 0 0 1 1 1 0 1 1 0 +1 0 0 0 1 0 1 0 1 1 0 0 1 +1 0 1 1 1 0 1 1 0 0 1 1 1 +1 0 1 0 1 1 0 0 1 1 0 0 1 +0 0 1 1 1 0 0 1 0 1 1 0 0 +0 0 0 1 1 0 0 1 1 0 1 1 0 +1 1 1 1 1 1 0 0 0 1 0 0 0 +1 1 0 1 1 0 0 0 0 0 0 1 0 +1 1 0 1 1 0 0 1 0 1 1 0 0 +0 1 0 1 0 0 1 0 1 1 1 0 1 +0 1 1 1 0 0 1 1 0 1 1 1 1 +0 1 1 1 1 1 0 0 1 1 0 1 1 +1 1 0 0 1 0 0 0 1 0 0 1 0 +1 1 0 1 0 0 0 1 1 0 0 1 0 +0 0 1 1 1 0 0 0 1 0 1 1 0 +0 1 1 1 0 0 0 0 0 1 1 0 1 +1 1 0 1 0 0 1 0 0 1 0 1 0 +1 1 0 1 1 1 1 0 1 0 1 1 0 +1 0 1 0 0 1 1 1 1 0 1 1 1 +1 0 0 0 0 0 1 1 0 0 1 0 1 +1 1 1 1 0 0 0 1 0 1 1 0 0 +0 0 1 1 0 1 1 0 1 0 0 0 0 +1 0 1 0 0 1 1 1 0 0 1 1 1 +1 0 1 1 1 0 1 0 0 0 1 0 1 +0 0 0 1 0 1 1 0 1 1 1 0 0 +0 1 0 0 0 0 0 0 0 1 1 0 1 +1 1 0 1 0 1 1 1 0 0 0 0 0 +1 0 0 1 1 0 0 0 1 0 0 0 1 +1 0 0 1 1 0 0 0 1 1 0 0 1 +0 1 1 1 0 0 1 0 0 1 1 0 1 +0 0 0 1 0 0 1 0 0 0 1 1 0 +1 0 1 1 1 0 0 0 1 0 0 1 1 +1 1 0 0 1 0 1 1 1 1 0 0 0 +0 1 1 0 1 0 0 0 1 1 1 1 1 +0 0 1 0 1 1 1 0 1 0 0 1 0 +1 1 1 1 0 0 1 0 1 1 1 1 0 +1 1 0 1 1 1 1 1 0 0 0 0 0 +0 1 0 0 1 0 1 0 0 1 0 0 1 +1 0 0 1 1 1 0 0 0 1 0 0 1 +0 0 0 0 1 0 0 0 1 0 0 1 0 +0 1 0 0 1 1 0 0 0 0 1 0 1 +1 0 1 0 0 0 0 0 1 0 1 0 1 +0 0 1 1 1 0 0 1 1 0 0 0 0 +0 1 1 0 0 1 0 1 1 1 1 0 1 +0 1 1 0 1 1 1 1 0 0 0 0 1 +1 0 1 0 1 1 1 1 0 1 1 1 1 +1 0 0 1 1 1 1 0 0 1 0 0 1 +1 0 1 1 0 0 1 1 0 0 1 1 1 +1 1 1 0 0 0 1 0 1 0 1 0 0 +0 0 0 0 0 1 1 0 0 0 0 1 0 +0 0 0 1 0 1 0 0 1 1 1 1 0 +0 1 1 1 0 0 0 0 1 1 1 1 1 +0 0 1 1 1 1 0 1 1 1 1 0 0 +0 1 0 1 0 1 1 0 1 0 1 1 1 +1 1 0 1 1 0 1 0 1 1 1 0 0 +0 0 1 1 1 1 0 1 0 0 0 0 0 +1 1 1 1 1 0 1 0 1 1 0 1 0 +1 0 0 0 0 0 1 0 0 1 0 1 1 +1 1 0 0 1 1 0 1 1 0 1 0 0 +1 0 0 0 0 1 0 0 0 0 1 0 1 +1 0 0 1 1 0 0 1 0 1 0 0 1 +1 0 0 1 1 0 1 0 1 0 0 0 1 +0 0 0 1 1 1 0 1 0 0 0 0 0 +1 0 0 1 0 1 0 1 1 0 0 1 1 +1 1 0 0 1 1 0 0 1 1 0 0 0 +0 0 0 1 1 1 1 0 1 0 1 1 0 +0 0 1 1 0 0 0 0 0 1 0 0 0 +0 0 1 0 0 1 1 1 0 0 0 0 0 +0 1 1 1 0 1 0 1 1 0 0 0 1 +1 1 1 1 1 0 0 0 0 0 1 0 0 +0 0 0 0 1 0 1 0 0 0 0 0 0 +0 1 0 1 0 0 0 0 1 1 0 1 1 +1 0 0 1 1 0 1 1 0 1 1 0 1 +1 1 0 1 1 0 0 0 1 1 1 0 0 +0 1 0 0 0 0 0 0 0 0 1 1 1 +0 1 0 1 0 0 1 0 1 0 0 1 1 +0 1 1 1 0 0 0 1 1 1 1 0 1 +0 1 0 0 0 1 1 0 1 1 0 0 1 +1 1 0 0 1 1 0 1 0 1 1 0 0 +0 1 1 1 1 1 0 0 1 1 0 1 1 +0 0 1 0 1 1 1 1 1 1 1 0 0 +0 0 0 0 1 0 1 1 1 0 0 0 0 +0 0 1 0 1 1 1 0 0 0 1 1 0 +0 0 1 1 0 0 0 0 0 1 1 0 0 +0 1 0 1 1 1 0 0 0 0 1 0 1 +0 1 0 0 0 1 0 0 1 0 1 1 1 +0 1 1 0 0 0 1 0 0 1 0 0 1 +0 1 1 0 0 0 1 0 1 1 1 1 1 +1 0 1 0 0 1 0 1 1 1 0 0 1 +0 0 0 1 0 0 1 1 1 0 0 0 0 +0 1 1 1 0 0 0 1 0 0 1 1 1 +1 1 0 1 0 1 0 1 1 0 1 1 0 +0 1 0 1 1 0 1 0 1 1 0 1 1 +0 0 0 1 1 0 1 1 0 1 0 1 0 +1 1 0 0 0 0 0 0 1 1 0 0 0 +1 1 1 1 0 1 0 1 1 0 0 0 0 +1 1 1 0 0 1 0 1 1 1 0 0 0 +1 0 0 0 0 0 1 0 1 0 1 1 1 +1 1 1 0 0 1 1 1 1 1 0 1 0 +0 0 1 0 0 0 0 1 1 0 0 1 0 +0 0 0 1 0 1 0 1 1 1 1 1 0 +1 0 1 0 1 0 0 0 1 1 1 1 1 +0 1 0 1 1 1 0 1 1 0 1 1 1 +0 0 0 0 0 0 1 0 0 0 0 1 0 +0 0 1 1 1 1 0 1 0 1 1 1 0 +0 1 0 0 1 1 0 0 0 1 1 0 1 +0 0 0 1 0 1 1 1 1 0 1 0 0 +0 0 0 1 0 1 1 0 1 0 1 0 0 +0 0 1 1 1 0 0 1 1 0 0 1 0 +1 0 1 0 1 0 0 0 1 0 1 0 1 +0 0 1 1 0 0 0 0 0 0 1 1 0 +0 0 0 1 1 0 1 1 1 1 1 0 0 +0 0 0 0 1 1 0 1 1 0 0 0 0 +0 0 0 1 0 1 1 0 1 1 0 1 0 +0 0 0 1 0 0 0 1 0 0 0 0 0 +0 0 1 1 1 1 0 1 1 1 0 1 0 +0 1 1 1 0 1 1 1 1 0 0 0 1 +1 1 0 0 1 0 1 1 1 0 1 0 0 +1 1 1 1 1 1 1 1 0 1 1 1 0 +0 0 0 0 0 1 1 0 1 0 1 0 0 +1 0 0 1 1 1 0 0 0 0 0 1 1 +0 1 0 0 1 1 0 0 0 0 1 1 1 +0 0 1 0 1 0 1 1 0 0 1 0 0 +0 1 1 0 0 0 1 0 1 1 0 1 1 +0 0 0 1 1 1 1 1 1 1 1 0 0 +0 1 0 1 1 1 0 0 0 1 0 1 1 +0 1 1 0 0 0 1 1 1 0 0 1 1 +1 0 0 1 0 0 1 1 1 1 0 1 1 +1 0 1 0 1 0 1 1 1 0 1 1 1 +0 0 1 1 0 0 1 1 1 0 1 0 0 +1 1 0 1 1 0 0 0 1 1 0 0 0 +0 0 0 1 1 1 0 0 1 0 0 1 0 +0 1 0 1 0 1 1 1 1 1 0 0 1 +1 1 1 1 1 0 0 0 0 0 1 0 0 +0 0 1 0 0 1 1 1 0 1 1 1 0 +1 0 1 0 0 0 1 1 0 0 1 0 1 +1 1 1 0 0 1 0 0 0 1 0 1 0 +0 0 0 1 1 1 0 1 1 1 1 1 0 +1 1 0 0 1 0 1 1 1 0 0 0 0 +1 0 1 0 1 1 1 1 0 1 0 0 1 +0 0 0 1 1 0 0 1 1 1 1 1 0 +0 1 1 1 0 1 0 0 1 1 1 1 1 +1 0 0 1 1 1 0 0 0 1 1 1 1 +1 0 1 0 1 1 1 1 1 1 0 1 1 +0 0 1 0 1 1 1 1 1 0 1 0 0 +0 0 0 1 1 0 0 0 1 1 0 0 0 +1 1 0 0 0 0 1 1 0 0 1 0 0 +0 1 0 0 1 1 0 1 1 0 0 0 1 +1 1 1 0 0 0 1 0 0 0 1 0 0 +1 1 0 1 1 0 0 1 1 0 0 1 0 +0 1 0 1 0 0 0 0 1 1 1 0 1 +1 1 1 0 0 0 1 0 1 0 0 0 0 +0 1 0 0 1 1 1 1 1 1 1 1 1 +1 1 1 1 0 1 1 0 0 1 0 0 0 +1 0 1 1 0 1 0 1 0 1 1 1 1 +1 1 0 1 1 1 0 1 1 1 0 0 0 +1 1 1 0 0 1 1 0 0 1 1 1 0 +1 1 1 0 0 1 0 0 0 1 1 0 0 +0 1 0 0 0 1 1 1 1 0 1 0 1 +0 1 0 0 1 1 0 1 0 0 1 0 1 +0 1 1 0 0 1 0 0 1 1 0 0 1 +0 0 0 1 0 1 0 0 0 1 1 0 0 +0 0 0 0 0 0 1 1 0 1 1 1 0 +0 0 1 0 0 1 0 1 0 1 1 0 0 +1 0 0 1 1 1 1 0 0 1 1 1 1 +1 0 1 1 0 0 1 0 1 1 0 1 1 +1 1 0 0 0 1 0 0 1 0 0 1 0 +0 1 1 0 0 1 1 1 0 0 1 1 1 +0 1 1 1 1 0 1 1 1 1 1 0 1 +1 1 1 1 1 1 1 0 1 0 0 0 0 +0 1 1 1 0 0 0 1 1 0 1 1 1 +0 1 0 0 1 1 0 0 1 0 0 0 1 +0 1 0 0 0 0 1 0 0 0 1 0 1 +0 0 0 0 1 0 1 1 1 1 1 0 0 +0 0 1 0 0 0 0 0 0 1 1 1 0 +1 0 1 0 1 0 0 0 1 1 1 1 1 +1 0 1 0 0 0 1 0 0 0 1 1 1 +0 0 0 1 0 1 0 1 1 0 1 0 0 +1 1 0 1 0 0 1 1 1 1 1 1 0 +0 1 0 1 0 0 0 1 0 0 0 1 1 +0 1 1 1 1 0 0 1 1 1 0 1 1 +1 1 0 0 0 0 1 1 1 1 1 1 0 +0 0 0 1 1 1 1 0 0 1 0 1 0 +1 0 0 1 0 0 0 1 0 1 0 0 1 +1 0 1 0 0 0 0 1 0 0 0 0 1 +1 1 1 0 0 0 0 1 1 1 1 1 0 +0 0 1 1 0 0 0 0 1 0 1 0 0 +1 0 1 0 1 1 0 0 1 1 1 1 1 +0 0 0 1 1 1 0 1 0 1 0 1 0 +0 0 1 0 0 1 0 1 0 0 0 0 0 +1 0 1 0 1 1 1 0 0 1 1 0 1 +0 0 1 0 1 1 1 0 1 0 1 1 0 +1 0 1 1 0 1 0 1 0 1 0 0 1 +0 0 1 1 0 0 0 1 1 1 1 1 0 +0 0 0 0 0 0 0 1 1 0 1 0 0 +1 0 0 0 0 1 0 0 0 0 0 0 1 +0 0 1 0 0 1 1 0 0 0 0 0 0 +0 0 1 1 1 1 0 0 1 0 1 0 0 +0 1 1 1 1 0 0 1 0 1 1 1 1 +0 1 1 1 1 1 1 1 0 0 0 1 1 +0 1 1 0 0 0 1 0 1 0 0 1 1 +1 0 1 1 0 1 0 0 1 1 1 1 1 +1 1 0 1 0 0 1 1 1 0 1 0 0 +1 0 0 0 1 0 1 1 1 1 1 0 1 +0 0 1 1 0 1 1 1 0 1 0 0 0 +0 1 1 0 0 1 0 0 1 1 1 1 1 +1 1 0 1 0 1 1 0 1 1 1 0 0 +0 1 1 0 1 0 1 1 1 1 1 0 1 +1 0 1 1 0 1 1 0 0 0 0 0 1 +1 0 1 1 1 0 1 0 1 1 0 0 1 +0 1 1 0 0 1 1 1 1 1 1 1 1 +1 1 1 1 0 0 0 0 0 0 1 1 0 +1 0 1 1 0 1 1 0 1 0 1 1 1 +0 0 1 1 0 1 1 0 1 0 1 1 0 +1 1 1 1 0 1 0 1 1 1 1 1 0 +0 1 1 0 1 1 1 1 0 1 1 1 1 +0 1 0 1 0 1 1 0 0 1 0 1 1 +1 1 0 1 0 0 1 1 1 0 0 0 0 +1 1 0 0 0 1 1 1 0 1 0 0 0 +1 1 1 0 1 1 1 0 0 1 0 0 0 +1 0 0 0 1 1 0 0 1 0 0 1 1 +0 0 0 0 0 1 0 0 1 1 1 0 0 +0 1 1 1 0 1 0 1 0 1 1 1 1 +0 1 1 0 0 1 0 1 0 1 1 1 1 +1 0 0 1 1 1 1 1 0 1 1 0 1 +0 1 1 1 0 1 1 1 1 1 1 1 1 +0 1 0 0 0 1 0 0 1 0 1 1 1 +1 1 1 0 0 0 0 0 0 0 0 1 0 +1 0 1 0 1 0 1 1 0 0 0 1 1 +1 0 0 1 1 1 1 0 1 0 0 0 1 +0 0 1 1 1 1 0 0 0 1 0 0 0 +0 1 1 1 0 0 0 1 1 1 0 1 1 +1 0 1 1 0 0 0 0 1 0 1 0 1 +1 0 1 1 1 0 0 1 0 0 1 0 1 +1 1 0 0 0 0 0 0 0 0 1 1 0 +0 1 1 0 1 0 1 1 1 0 1 0 1 +1 0 0 1 0 1 1 1 1 1 1 1 1 +0 1 0 0 1 0 1 1 0 1 0 1 1 +0 1 0 0 1 1 0 1 0 0 0 1 1 +1 0 0 1 1 0 0 0 1 0 1 0 1 +1 1 0 0 1 1 0 0 0 0 1 1 0 +0 0 1 1 0 0 1 0 0 1 1 0 0 +1 1 0 1 1 1 0 0 0 1 0 1 0 +0 0 1 1 0 1 1 0 1 0 1 0 0 +0 1 0 1 1 0 0 1 0 1 0 1 1 +1 0 1 1 0 0 0 0 0 1 1 0 1 +0 1 0 0 0 0 1 0 1 1 0 0 1 +0 1 0 0 0 1 0 1 0 1 0 1 1 +0 0 1 1 0 0 1 1 1 0 1 0 0 +1 0 1 1 1 1 1 0 0 0 0 1 1 +0 0 0 1 1 1 0 0 0 0 0 1 0 +1 1 0 1 1 1 0 0 1 1 1 1 0 +1 1 1 1 1 1 0 1 1 0 1 0 0 +0 0 1 0 0 0 1 0 0 1 1 0 0 +1 1 1 0 0 0 1 0 0 0 0 1 0 +1 0 0 1 0 0 1 0 0 0 1 1 1 +1 1 0 1 1 0 0 1 0 1 0 0 0 +1 0 1 1 1 1 0 0 1 1 0 0 1 +0 0 0 0 0 1 0 0 0 1 0 1 0 +1 1 0 1 0 1 1 1 0 0 1 1 0 +0 1 1 0 0 1 0 0 1 1 0 1 1 +0 0 0 1 0 1 1 1 0 0 1 1 0 +1 0 0 0 0 0 1 0 0 1 0 1 1 +1 1 1 1 0 1 1 1 0 1 0 1 0 +0 0 0 0 0 0 0 0 1 1 1 1 0 +0 1 0 1 0 1 0 0 0 1 0 0 1 +0 1 1 0 1 1 0 0 0 1 1 0 1 +0 0 1 1 1 0 0 0 0 1 1 0 0 +0 0 1 0 1 1 0 1 1 0 0 1 0 +1 0 1 0 1 1 0 0 1 1 1 0 1 +0 0 0 0 1 1 1 0 1 1 0 0 0 +0 0 1 0 1 0 1 0 0 0 1 0 0 +1 1 1 0 1 1 0 1 0 1 1 0 0 +0 1 0 1 0 1 0 1 0 1 1 0 1 +1 0 1 1 0 1 1 1 0 1 1 1 1 +1 0 1 0 0 1 1 0 0 1 0 0 1 +0 0 1 0 1 0 0 0 0 0 1 0 0 +0 1 1 1 1 0 1 0 1 1 0 1 1 +0 1 1 1 1 1 0 0 0 1 1 0 1 +1 1 0 0 1 0 0 0 1 1 1 1 0 +1 1 0 1 1 1 0 0 1 0 1 1 0 +0 0 1 0 1 0 0 1 1 0 1 0 0 +0 1 1 0 1 1 0 1 1 1 0 1 1 +0 0 1 0 1 0 0 0 1 1 1 1 0 +1 0 1 0 1 1 0 0 1 0 1 0 1 +0 0 0 1 1 0 0 1 0 1 0 1 0 +0 0 0 1 1 0 1 1 1 1 1 0 0 +0 1 0 1 0 0 0 1 1 0 1 0 1 +0 1 1 1 0 1 1 1 1 0 0 0 1 +1 0 0 0 1 1 0 0 0 1 0 1 1 +0 0 0 0 0 1 0 0 0 1 1 0 0 +1 0 1 1 0 1 0 0 1 1 1 1 1 +0 1 1 1 0 1 0 0 1 0 1 1 1 +1 1 1 1 0 1 0 1 0 1 0 0 0 +1 0 1 1 1 0 0 0 1 1 0 1 1 +1 1 1 1 0 1 0 1 1 0 0 0 0 +0 1 0 0 0 0 0 0 0 1 0 0 1 +0 0 0 0 0 1 1 1 1 0 0 0 0 +0 0 0 1 1 1 0 0 0 0 0 0 0 +0 0 1 0 0 0 0 1 0 0 1 1 0 +1 0 1 1 0 0 1 0 0 1 0 1 1 +0 0 1 0 1 0 0 1 0 1 0 0 0 +0 0 0 0 0 0 1 1 0 1 1 0 0 +1 0 0 1 1 0 0 1 1 0 1 1 1 +0 1 1 0 0 0 0 1 1 0 1 0 1 +1 0 0 0 1 0 0 1 1 1 1 1 1 +1 1 1 0 0 1 1 0 0 0 0 0 0 +0 0 0 1 1 1 1 1 0 0 1 0 0 +1 0 0 0 1 1 0 0 1 0 0 0 1 +0 1 0 0 1 0 0 0 1 1 0 1 1 +0 1 1 0 0 1 1 0 0 1 1 1 1 +0 1 1 0 1 0 1 1 0 1 1 1 1 +0 0 1 0 1 1 0 1 1 0 0 1 0 +1 1 0 1 1 0 0 0 1 1 1 1 0 +0 0 1 0 1 0 1 0 0 1 0 1 0 +0 0 1 0 0 0 0 0 0 0 0 1 0 +0 1 1 0 0 1 1 0 1 0 0 0 1 +0 1 0 0 1 0 0 1 0 0 0 0 1 +1 1 0 0 0 0 0 0 1 1 1 1 0 +0 1 0 1 1 0 1 0 0 0 0 0 1 +0 1 0 1 1 0 0 1 1 1 0 0 1 +1 0 0 1 1 0 0 0 0 1 1 0 1 +0 1 1 1 1 0 1 0 0 0 0 0 1 +1 0 0 0 0 1 0 1 1 0 0 1 1 +0 0 1 1 1 1 0 1 0 0 0 1 0 +0 0 1 0 0 1 1 1 1 0 1 1 0 +1 1 0 1 0 0 1 1 1 0 1 0 0 +1 0 1 0 1 0 1 0 0 0 0 1 1 +1 0 0 1 1 0 0 0 1 1 1 0 1 +1 1 1 1 1 1 0 1 0 1 1 0 0 +0 1 0 0 1 0 1 0 1 0 0 1 1 +1 1 1 0 0 0 1 1 0 1 0 1 0 +0 0 1 0 0 1 1 1 1 0 0 1 0 +1 0 1 1 0 0 0 1 0 0 1 0 1 +0 1 0 0 1 1 1 1 0 0 0 0 1 +1 1 0 1 1 0 0 0 0 0 1 0 0 +0 0 0 0 1 1 0 1 0 0 1 0 0 +1 1 1 0 0 1 0 0 1 1 1 0 0 +1 1 1 1 1 1 1 1 0 0 1 1 0 +0 1 0 1 1 0 1 0 0 1 0 1 1 +0 0 1 0 1 1 1 1 0 0 1 1 0 +1 0 0 0 1 0 0 0 1 1 1 1 1 +1 0 0 0 0 1 1 1 1 1 0 1 1 +0 0 1 0 1 0 1 0 1 1 0 1 0 +1 0 1 0 1 0 1 1 0 0 1 1 1 +1 1 0 0 0 0 1 0 0 0 1 1 0 +1 1 0 1 1 0 0 0 0 1 0 1 0 +0 0 1 1 0 0 0 1 1 0 1 1 0 +1 0 1 1 0 1 0 0 1 0 0 1 1 +0 1 0 1 0 1 1 1 1 1 1 0 1 +0 0 0 1 0 1 1 1 0 1 0 0 0 +1 1 1 1 0 1 1 0 0 0 0 1 0 +0 1 1 1 1 1 0 1 0 1 1 0 1 +1 1 0 0 1 0 0 1 0 0 0 0 0 +0 1 0 1 1 0 0 1 1 1 1 1 1 +1 0 0 0 0 1 0 0 1 1 1 0 1 +0 1 1 0 0 1 1 1 0 1 0 0 1 +1 1 0 0 0 0 0 1 1 0 1 1 0 +0 1 0 0 1 1 1 0 1 0 1 1 1 +0 1 1 0 1 1 0 1 0 0 1 1 1 +0 0 0 1 0 1 0 1 1 0 0 1 0 +1 1 0 0 0 0 0 0 0 1 0 0 0 +0 1 1 1 0 0 0 1 0 0 1 0 1 +1 0 0 1 0 1 0 1 0 0 0 1 1 +1 0 1 1 0 0 1 1 1 0 0 1 1 +1 1 1 0 0 0 1 1 1 1 1 1 0 +0 1 1 0 1 1 1 0 1 0 1 1 1 +0 0 1 1 0 0 1 0 0 0 1 0 0 +0 0 0 0 0 1 0 1 1 0 0 0 0 +1 1 0 0 0 0 1 0 0 1 0 1 0 +1 0 1 0 1 1 0 0 1 1 0 0 1 +1 0 1 0 1 0 0 1 0 0 0 0 1 +1 1 1 0 1 1 1 1 1 1 1 0 0 +1 0 1 0 1 1 1 1 1 0 0 1 1 +0 1 1 1 1 1 1 0 0 1 0 1 1 +1 1 1 1 1 1 1 1 0 0 1 0 0 +0 0 0 0 0 0 0 0 1 1 1 1 0 +1 0 1 1 1 1 1 1 0 1 0 1 1 +1 0 0 1 1 1 1 0 0 1 0 1 1 +1 0 0 1 1 1 1 0 0 1 0 0 1 +1 1 0 1 0 1 0 1 1 0 0 0 0 +1 1 1 0 1 0 0 1 0 1 0 0 0 +1 1 1 1 1 0 1 1 0 1 1 0 0 +1 1 1 1 1 0 0 0 1 0 1 0 0 +0 0 1 1 0 1 0 1 0 0 1 1 0 +1 1 0 0 0 1 1 0 0 1 0 0 0 +1 1 1 1 0 0 1 1 0 1 1 1 0 +1 1 0 1 0 1 0 1 0 1 0 1 0 +0 0 0 1 1 1 0 1 1 1 1 1 0 +1 1 1 1 0 0 1 0 0 0 1 1 0 +0 0 0 0 1 0 1 0 1 0 1 1 0 +1 0 0 0 1 1 1 1 1 0 1 0 1 +0 1 1 0 1 0 0 0 0 0 0 0 1 +0 1 1 1 0 0 0 0 1 0 1 1 1 +1 1 0 1 1 0 0 1 0 1 1 1 0 +1 0 0 1 0 0 1 0 0 0 0 1 1 +0 0 1 0 0 1 1 0 0 0 1 0 0 +1 1 0 0 1 1 1 0 0 1 0 0 0 +1 1 1 0 0 1 0 0 0 1 0 0 0 +1 0 1 0 1 0 0 1 1 0 0 0 1 +1 0 0 1 1 0 1 1 1 1 1 1 1 +0 0 1 0 1 0 1 1 1 1 1 0 0 +1 1 0 0 1 1 0 0 1 1 1 1 0 +1 0 1 0 1 0 1 1 1 1 0 0 1 +0 1 0 1 1 1 1 0 1 0 0 0 1 +1 0 1 0 0 1 1 0 0 1 1 0 1 +0 1 0 0 0 1 1 1 0 0 0 0 1 +1 0 1 1 1 1 0 0 1 1 1 1 1 +1 1 1 0 0 1 0 1 1 1 1 0 0 +1 1 0 1 1 0 1 0 0 0 1 1 0 +0 1 0 1 0 0 1 1 0 1 0 1 1 +0 1 1 0 0 1 1 1 0 0 1 0 1 +1 0 1 0 1 0 1 0 0 0 0 0 1 +1 1 0 0 0 0 0 0 0 1 1 0 0 +1 0 0 1 1 0 0 0 1 0 0 1 1 +0 0 1 1 1 1 1 0 0 1 0 0 0 +1 0 0 0 0 0 0 1 1 0 0 1 1 +1 0 0 0 0 1 1 1 1 1 0 0 1 +1 0 0 0 1 1 0 1 1 1 0 0 1 +1 0 0 0 1 1 1 1 1 1 0 1 1 +1 1 0 0 1 1 1 0 1 1 1 1 0 +1 0 1 0 0 1 1 1 1 0 0 1 1 +1 0 0 1 1 0 0 1 0 1 1 1 1 +1 1 1 1 0 0 1 1 0 0 0 0 0 +0 1 1 1 0 0 1 0 1 0 0 0 1 +1 1 1 1 1 1 0 1 0 1 0 1 0 +0 1 0 1 1 0 1 0 1 0 0 1 1 +1 0 1 1 1 1 1 0 1 1 0 0 1 +1 1 0 1 1 0 1 0 1 1 0 0 0 +1 1 0 0 0 0 1 0 1 0 1 1 0 +1 0 1 0 0 1 1 1 1 0 1 1 1 +1 0 1 1 0 1 0 1 0 0 1 0 1 +0 0 0 0 1 1 0 0 1 1 1 1 0 +0 1 1 1 0 0 0 0 0 1 0 0 1 +0 1 0 1 0 0 0 1 0 1 0 1 1 +1 1 0 1 1 0 0 1 1 1 0 1 0 +0 1 1 1 0 0 0 0 0 0 1 1 1 +1 1 1 0 1 1 1 0 0 1 1 0 0 +0 1 0 1 1 0 1 0 1 1 1 0 1 +0 1 0 1 0 1 1 1 1 0 1 0 1 +1 1 0 0 0 1 1 1 1 0 1 1 0 +1 1 1 1 0 0 0 0 1 0 0 1 0 +1 0 0 1 0 0 0 1 1 1 1 0 1 +0 0 1 0 1 0 1 1 0 0 1 0 0 +0 1 1 0 1 1 1 1 0 0 0 0 1 +0 1 0 0 1 1 1 1 1 1 1 1 1 +0 1 0 1 1 0 1 1 1 0 1 0 1 +1 1 0 0 1 1 0 1 1 0 0 0 0 +0 1 1 1 1 1 1 1 1 0 1 1 1 +0 0 0 0 0 1 0 0 0 1 0 1 0 +0 0 1 0 0 0 0 0 0 1 0 0 0 +1 1 0 0 1 0 1 0 0 0 1 1 0 +0 1 0 1 0 1 1 0 1 0 1 1 1 +1 0 1 1 0 1 0 0 0 1 0 1 1 +1 1 0 0 0 1 1 1 0 0 1 0 0 +1 1 0 1 1 0 1 0 0 1 0 0 0 +1 1 0 1 0 0 1 1 1 1 1 0 0 +1 0 1 1 1 0 1 1 1 0 0 1 1 +1 0 0 1 0 1 0 0 1 0 0 1 1 +0 1 0 0 1 1 1 0 0 0 1 1 1 +1 0 0 0 0 1 0 1 1 0 1 0 1 +0 0 1 1 1 1 0 1 1 1 0 1 0 +1 1 1 1 0 1 1 1 1 1 1 0 0 +0 0 0 0 0 1 1 0 0 0 1 1 0 +0 1 0 0 0 1 1 1 0 0 0 0 1 +0 1 1 0 1 1 1 0 1 0 0 1 1 +0 1 0 1 0 1 1 0 0 1 1 1 1 +0 1 1 1 0 0 0 0 1 0 0 1 1 +0 0 1 0 0 0 1 0 1 0 1 0 0 +0 1 0 1 1 0 1 1 0 1 0 0 1 +1 0 1 0 0 0 1 1 0 1 1 0 1 +0 1 0 0 0 0 0 1 0 1 1 1 1 +1 1 0 1 1 1 0 0 1 0 0 0 0 +0 1 0 0 1 1 0 0 0 0 0 0 1 +0 1 1 0 1 1 0 0 1 0 0 1 1 +0 0 0 1 1 0 0 1 0 1 0 1 0 +0 0 0 1 1 0 0 0 1 0 0 1 0 +0 1 1 0 1 1 0 0 0 0 0 1 1 +1 0 1 0 0 1 1 0 0 1 0 0 1 +1 0 0 0 0 1 0 0 1 0 0 0 1 +0 0 1 1 0 0 0 0 1 1 1 0 0 +1 0 1 1 1 0 1 1 1 1 0 1 1 +0 0 0 0 1 0 1 0 0 1 1 0 0 +1 0 0 0 0 0 1 1 0 1 1 1 1 +0 1 1 0 1 0 0 0 0 0 0 0 1 +1 1 0 1 0 0 1 0 1 1 1 1 0 +1 0 0 0 0 1 1 0 0 1 0 0 1 +1 1 0 0 0 1 1 0 0 0 0 0 0 +0 1 1 0 0 1 0 0 0 1 0 1 1 +0 1 0 0 0 0 1 0 0 1 0 1 1 +0 1 1 1 0 0 1 0 1 1 1 0 1 +0 1 0 1 1 0 0 0 1 1 0 1 1 +1 0 0 1 0 1 1 1 0 1 0 0 1 +1 1 0 0 0 1 1 0 1 1 0 0 0 +1 1 0 1 0 0 0 0 0 0 0 0 0 +0 0 0 0 0 1 1 0 0 1 0 0 0 +0 0 1 0 1 1 0 1 1 1 1 1 0 +0 1 0 1 0 1 0 1 0 0 0 1 1 +0 1 1 1 1 0 1 1 0 0 1 1 1 +0 1 1 1 0 0 0 1 0 0 1 1 1 +0 1 0 1 0 1 0 0 0 0 1 0 1 +0 0 1 1 1 1 0 0 0 1 0 1 0 +1 0 1 1 0 1 1 1 0 1 0 0 1 +0 1 0 0 1 0 0 1 0 0 0 0 1 +0 1 1 0 0 0 0 1 1 0 1 1 1 +1 0 0 1 1 1 1 1 1 1 1 0 1 +1 0 0 0 0 1 0 0 0 0 0 1 1 +0 1 0 1 0 0 0 1 0 0 0 0 1 +0 0 0 1 1 0 1 0 0 1 1 0 0 +0 1 0 1 1 0 0 1 0 0 1 1 1 +0 1 1 0 0 0 1 0 1 1 0 1 1 +1 0 1 1 0 0 1 0 1 0 0 1 1 +1 1 1 0 0 0 1 1 0 1 0 1 0 +1 0 1 0 1 1 1 0 1 0 1 1 1 +0 0 1 0 0 0 1 0 1 1 0 1 0 +0 1 1 1 0 1 0 0 1 0 1 0 1 +0 1 1 0 0 1 0 1 0 1 1 0 1 +1 1 1 0 0 1 0 0 0 0 1 1 0 +1 0 0 1 0 0 1 1 0 0 0 1 1 +0 1 0 0 1 0 0 0 0 1 0 1 1 +0 1 1 1 0 0 0 1 0 1 0 0 1 +0 1 0 1 1 1 1 1 0 0 0 0 1 +1 0 1 0 0 0 1 1 1 1 0 0 1 +0 0 1 0 0 0 1 1 1 0 0 1 0 +0 1 1 0 1 0 0 0 1 0 1 1 1 +1 0 0 0 0 1 0 0 1 1 0 0 1 +1 1 0 1 0 1 1 1 0 0 0 0 0 +1 1 1 1 0 0 0 1 1 1 0 1 0 +0 1 1 1 1 0 0 1 0 1 1 1 1 +1 0 1 0 0 1 0 1 0 0 1 0 1 +0 1 0 1 0 1 1 0 0 1 1 0 1 +0 1 1 0 0 0 1 1 1 0 1 1 1 +1 0 1 1 1 0 1 0 1 1 0 1 1 +0 0 1 1 1 0 1 0 0 1 0 1 0 +0 1 1 1 0 1 1 0 0 0 0 1 1 +1 1 0 1 1 1 0 0 1 0 1 1 0 +1 1 1 1 0 0 1 0 1 1 0 1 0 +0 1 1 0 1 0 1 1 0 1 0 0 1 +1 1 0 1 1 0 0 0 0 1 0 0 0 +0 0 1 0 0 1 1 0 1 0 1 1 0 +0 0 1 1 1 1 1 0 1 0 0 1 0 +0 1 0 1 1 1 1 1 1 0 0 1 1 +1 1 1 1 0 1 0 0 1 0 0 0 0 +1 0 0 1 0 1 0 1 0 0 0 0 1 +0 1 1 1 0 1 1 1 1 1 0 1 1 +1 0 1 1 0 1 0 1 1 0 0 1 1 +0 1 0 1 1 1 1 0 1 1 0 0 1 +1 0 1 0 1 1 1 1 0 0 0 1 1 +1 0 1 1 1 1 1 1 0 1 0 0 1 +1 0 0 0 0 0 1 1 0 1 0 1 1 +1 1 0 1 0 1 0 0 1 1 0 0 0 +0 0 0 0 0 0 0 0 0 1 0 1 0 +1 0 1 1 1 1 1 0 1 0 1 1 1 +0 1 1 1 0 1 1 1 1 0 0 1 1 +1 1 0 0 0 1 1 1 1 1 1 0 0 +0 1 0 0 0 0 1 0 0 1 1 1 1 +1 0 1 0 1 1 0 0 1 1 0 1 1 +1 1 0 1 1 1 1 0 1 0 0 1 0 +1 1 0 0 1 0 0 1 0 1 1 1 0 +1 1 0 0 0 1 0 0 1 1 0 0 0 +1 0 1 0 0 1 1 0 0 0 1 0 1 +0 1 1 1 0 0 0 0 1 1 0 0 1 +0 0 1 0 1 1 1 0 0 0 1 1 0 +1 1 0 1 1 0 1 1 1 1 0 1 0 +0 0 1 0 1 1 0 1 0 1 1 0 0 +0 0 0 0 0 1 1 1 1 1 0 1 0 +0 1 1 1 0 1 0 0 0 1 1 0 1 +1 0 1 1 0 0 0 1 1 0 0 1 1 +1 1 1 1 0 1 1 1 1 0 0 1 0 +1 1 0 0 0 1 0 0 0 1 0 0 0 +1 1 0 1 0 0 0 1 0 1 1 1 0 +0 0 1 1 1 0 0 1 0 1 0 0 0 +0 1 1 1 1 1 1 1 0 1 1 0 1 +1 1 0 1 0 0 0 1 0 1 1 0 0 +1 1 1 0 0 1 1 0 0 0 0 1 0 +0 0 0 0 0 0 0 1 1 1 1 0 0 +1 0 0 1 0 0 0 1 0 1 0 1 1 +0 0 0 0 1 0 0 1 1 0 1 0 0 +0 0 0 1 0 1 0 0 1 0 0 0 0 +0 1 1 1 1 0 0 1 0 1 1 0 1 +1 1 1 1 0 0 0 1 1 1 0 0 0 +1 1 0 0 1 1 0 0 0 0 1 1 0 +1 1 1 1 1 0 1 1 0 1 0 0 0 +1 1 0 0 0 1 0 0 1 0 1 0 0 +1 1 0 0 1 0 0 0 0 1 0 0 0 +0 1 0 0 0 0 1 1 0 1 0 1 1 +1 0 0 1 0 1 1 1 1 1 0 0 1 +1 0 1 0 0 1 1 1 0 0 1 0 1 +1 0 0 0 0 0 0 0 0 0 1 1 1 +1 1 0 1 1 0 1 0 1 0 1 0 0 +1 1 1 1 0 0 0 0 1 0 0 0 0 +0 1 1 1 0 1 0 0 0 0 0 1 1 +1 1 1 0 0 1 1 0 0 0 0 1 0 +1 1 1 1 1 0 1 1 0 1 1 1 0 +0 1 0 0 0 0 1 1 1 0 1 1 1 +0 0 0 0 1 0 0 1 1 1 1 1 0 +1 0 1 1 0 0 1 0 0 0 1 0 1 +0 1 0 1 0 0 0 0 1 1 0 1 1 +0 0 0 1 1 1 1 1 1 0 0 1 0 +0 0 0 0 0 1 1 1 0 1 1 1 0 +1 0 0 1 1 1 0 0 1 1 1 0 1 +0 1 1 1 0 0 1 1 0 0 1 0 1 +0 0 1 0 1 1 1 0 0 0 1 1 0 +1 0 1 0 1 0 1 1 0 0 1 0 1 +0 0 0 1 1 1 1 1 1 1 0 0 0 +0 0 1 1 1 0 0 0 1 1 0 0 0 +0 1 1 1 0 1 0 1 0 1 1 1 1 +1 0 0 1 0 0 0 0 0 0 0 0 1 +0 0 1 1 0 0 1 0 0 0 1 0 0 +1 0 1 1 0 0 0 0 0 0 1 1 1 +0 1 0 1 0 1 0 0 0 1 1 1 1 +0 0 0 0 0 1 0 1 0 0 0 1 0 +0 1 1 0 1 1 1 1 1 1 1 1 1 +0 1 0 0 0 1 0 1 0 0 1 0 1 +1 1 0 0 0 0 1 0 1 0 0 1 0 +1 1 1 1 0 0 1 1 1 1 1 0 0 +1 0 1 0 1 1 0 1 0 0 0 0 1 +1 1 1 0 1 0 1 0 1 1 1 1 0 +0 0 0 0 0 0 0 0 0 0 1 0 0 +1 0 0 0 1 1 0 1 1 1 1 1 1 +1 1 0 0 0 0 0 1 1 1 1 0 0 +0 1 0 0 1 1 1 0 1 1 1 1 1 +0 0 1 1 1 1 1 1 0 0 0 0 0 +1 1 0 0 0 0 1 0 0 0 1 1 0 +1 1 1 0 1 1 1 1 1 1 1 0 0 +1 1 0 1 1 1 1 0 1 0 1 1 0 +1 1 0 0 1 0 0 1 0 0 0 1 0 +1 1 1 0 0 1 1 1 0 0 1 1 0 +1 1 0 1 0 0 0 1 0 0 0 1 0 +0 0 0 0 0 1 0 0 1 1 0 0 0 +0 0 1 0 0 1 0 0 1 0 0 0 0 +1 1 0 0 1 1 1 1 1 0 0 0 0 +0 0 0 1 1 0 1 0 1 0 0 0 0 +1 0 0 1 0 0 0 0 1 1 1 0 1 +0 1 0 1 1 1 1 0 1 0 1 0 1 +1 1 1 0 1 0 0 1 0 0 1 1 0 +0 1 1 1 0 1 1 0 0 0 0 1 1 +1 1 1 1 0 0 1 1 1 0 1 0 0 +0 0 0 1 0 1 0 0 0 1 0 1 0 +0 0 0 1 0 1 0 1 1 0 0 1 0 +0 0 1 0 0 0 1 1 1 1 0 0 0 +0 1 1 1 1 0 1 1 0 1 1 1 1 +1 0 1 0 0 1 1 1 0 1 0 0 1 +0 0 0 0 1 1 0 0 1 1 1 0 0 +1 0 0 0 1 1 1 0 1 0 1 1 1 +1 0 0 0 1 1 1 0 1 1 0 1 1 +0 1 0 0 0 1 1 1 0 0 0 0 1 +0 1 1 1 0 1 0 0 0 0 1 0 1 +0 1 0 1 0 0 1 1 1 0 1 0 1 +1 1 1 1 0 1 1 0 0 1 0 1 0 +0 0 0 1 1 1 0 0 0 0 1 0 0 +0 1 1 1 0 1 0 0 0 1 1 1 1 +0 1 0 1 0 1 1 0 1 0 0 0 1 +0 1 0 1 1 0 0 1 1 0 0 0 1 +0 1 0 1 1 1 1 0 1 0 0 0 1 +0 1 0 1 1 0 0 1 1 0 1 1 1 +1 0 0 1 1 1 0 0 1 1 0 0 1 +1 1 1 1 1 1 1 1 1 0 1 1 0 +0 0 0 0 0 1 1 0 0 0 0 0 0 +0 0 0 1 1 0 0 0 0 0 1 0 0 +1 0 0 0 1 1 0 0 0 0 0 1 1 +1 0 1 1 0 0 0 0 1 1 1 0 1 +1 0 1 0 0 0 0 1 0 1 0 1 1 +1 1 1 0 1 0 0 1 0 0 1 1 0 +0 1 1 1 0 1 0 0 1 1 0 0 1 +0 0 0 1 1 1 1 0 0 1 0 1 0 +0 1 1 1 1 1 1 0 1 1 1 0 1 +0 0 1 0 0 1 0 0 0 0 1 1 0 +0 1 0 1 0 1 0 1 1 0 1 1 1 +0 1 0 0 0 1 1 1 1 0 1 1 1 +1 0 0 1 1 0 1 1 1 1 0 1 1 +1 0 0 1 0 0 1 0 0 1 0 0 1 +1 0 0 0 0 0 0 0 0 1 1 1 1 +0 1 1 0 0 1 1 1 0 0 0 0 1 +0 0 0 0 0 0 0 1 1 0 1 1 0 +0 1 0 1 0 1 0 1 0 1 1 0 1 +1 0 0 0 1 1 1 1 0 1 1 0 1 +1 1 0 0 1 0 0 0 0 1 0 0 0 +0 1 0 1 0 1 1 0 0 0 1 1 1 +0 1 1 0 1 0 1 1 0 0 1 1 1 +0 0 1 0 1 0 1 1 1 0 0 1 0 +0 1 0 1 1 1 0 0 1 0 0 1 1 +0 1 1 0 1 1 0 0 1 0 0 1 1 +1 0 1 0 0 0 0 0 1 1 0 0 1 +0 1 0 1 1 1 1 0 1 0 1 0 1 +1 0 1 1 0 0 0 1 0 0 0 0 1 +0 0 1 0 0 0 1 1 0 0 0 0 0 +1 0 0 0 1 1 1 0 0 0 1 0 1 +0 0 1 0 0 1 0 1 1 0 1 0 0 +0 1 1 0 1 1 1 1 0 1 1 1 1 +1 0 1 1 1 1 0 0 1 1 0 1 1 +0 0 1 0 0 0 0 0 0 1 0 0 0 +0 0 0 0 1 0 0 0 0 0 0 0 0 +1 0 1 1 0 1 1 1 1 1 1 1 1 +1 1 0 0 0 1 0 0 1 1 0 1 0 +1 0 0 1 0 0 0 0 0 0 0 1 1 +1 1 1 0 1 1 0 0 0 0 0 1 0 +0 1 1 1 0 1 1 0 0 1 1 1 1 +1 1 1 1 0 1 0 0 1 0 1 0 0 +1 1 1 0 1 1 1 1 1 0 1 0 0 +0 0 0 1 0 1 1 1 0 1 0 0 0 +0 1 1 1 0 1 0 0 1 0 1 0 1 +1 1 1 1 1 0 1 1 1 0 0 1 0 +0 0 1 1 0 1 0 0 0 1 1 0 0 +1 1 1 1 0 0 1 0 0 0 0 1 0 +1 0 1 1 1 0 1 0 1 1 1 0 1 +1 1 0 1 1 1 1 1 0 0 0 1 0 +1 1 1 0 1 0 1 0 0 0 0 0 0 +1 0 0 0 1 1 0 0 1 0 0 1 1 +1 1 1 1 1 1 0 1 0 1 0 1 0 +1 1 0 1 0 1 1 1 1 0 0 0 0 +1 0 1 1 1 0 0 0 0 0 0 0 1 +1 0 1 0 0 0 1 0 1 0 1 0 1 +0 0 0 1 0 0 1 1 1 1 1 1 0 +1 0 1 0 1 1 0 0 1 0 0 0 1 +0 0 0 1 0 1 1 1 1 0 0 0 0 +1 0 1 1 1 0 0 0 0 1 0 0 1 +1 1 1 0 0 0 0 1 0 0 1 0 0 +0 1 0 0 0 1 0 0 0 0 1 1 1 +1 0 1 0 1 1 0 0 1 1 0 1 1 +0 1 0 0 0 0 0 0 1 1 1 1 1 +0 0 1 0 1 1 0 0 1 1 0 1 0 +0 1 0 1 1 0 0 1 1 1 1 1 1 +0 1 1 1 1 1 0 1 1 1 0 0 1 +0 1 0 1 0 1 1 0 0 1 0 1 1 +0 0 0 1 0 0 0 0 1 1 1 1 0 +1 0 1 0 0 1 1 0 1 0 0 1 1 +1 1 1 1 1 0 0 1 1 0 0 1 0 +0 1 1 0 1 0 1 0 1 0 0 0 1 +1 0 0 1 1 0 1 1 0 1 1 1 1 +0 1 1 0 1 0 0 1 0 0 1 0 1 +0 1 0 1 1 1 1 1 1 0 1 1 1 +1 1 1 1 1 1 0 0 1 1 0 0 0 +0 0 1 0 0 0 0 1 1 1 1 0 0 +0 0 1 1 1 1 1 0 1 1 1 0 0 +0 1 0 0 1 1 1 1 1 0 0 1 1 +0 1 0 0 0 1 1 1 0 0 0 1 1 +1 1 1 1 0 1 0 1 1 1 1 1 0 +0 0 1 0 0 1 1 1 0 0 0 0 0 +0 0 1 1 1 1 0 1 1 1 0 1 0 +1 1 1 0 1 0 1 1 1 0 1 0 0 +1 0 1 1 0 1 0 1 1 1 1 0 1 +1 1 0 0 1 1 1 1 0 1 0 1 0 +1 1 1 1 0 0 0 1 1 1 0 0 0 +1 0 1 0 0 1 1 1 0 0 1 1 1 +0 1 1 0 0 1 1 0 1 0 1 0 1 +1 0 1 1 0 1 1 0 0 1 1 1 1 +1 1 0 1 0 0 1 0 1 1 0 1 0 +0 0 1 1 1 1 0 1 1 1 0 1 0 +1 0 0 0 1 1 0 1 0 1 0 1 1 +0 0 0 0 1 0 0 0 0 1 1 0 0 +0 0 1 0 1 1 0 0 1 1 1 1 0 +1 0 1 1 1 1 0 1 0 1 0 1 1 +0 1 1 0 0 1 1 0 0 0 0 0 1 +1 1 0 1 0 0 1 0 1 1 1 0 0 +0 0 0 1 0 0 0 0 1 1 1 1 0 +1 0 1 1 0 0 0 0 0 1 1 1 1 +1 1 1 0 1 0 0 1 0 0 0 1 0 +0 0 0 0 1 0 1 1 1 1 1 1 0 +1 0 0 0 0 0 1 0 0 1 1 0 1 +1 0 0 0 1 0 0 0 0 1 0 0 1 +0 1 1 1 1 1 0 1 1 1 1 0 1 +1 0 0 0 1 1 0 1 1 1 0 1 1 +0 1 0 1 1 0 1 0 0 0 0 1 1 +0 0 1 1 1 1 1 1 0 1 0 1 0 +0 0 0 1 1 1 0 1 0 1 1 0 0 +1 1 0 1 1 1 0 1 0 1 1 0 0 +1 0 0 1 1 0 0 1 1 0 0 0 1 +1 0 0 1 1 0 1 0 0 1 1 0 1 +1 0 0 1 1 0 1 1 0 1 0 1 1 +0 1 1 0 0 0 1 0 0 1 0 0 1 +1 0 1 1 0 0 1 0 0 0 1 0 1 +0 0 0 0 0 1 0 0 0 1 0 1 0 +0 0 1 1 1 1 1 0 0 0 0 1 0 +0 0 0 1 1 0 0 0 1 0 1 1 0 +1 0 0 1 0 0 0 0 1 1 0 0 1 +1 0 1 0 0 1 1 0 0 0 1 0 1 +0 0 0 1 0 0 1 1 1 1 1 0 0 +1 0 1 1 1 1 1 0 0 0 1 1 1 +0 1 1 0 0 1 0 1 0 1 1 0 1 +1 0 1 0 1 0 0 1 1 0 1 0 1 +1 0 1 1 1 0 0 0 0 1 0 0 1 +1 1 0 1 1 0 0 0 0 0 0 0 0 +0 1 0 1 0 0 1 1 1 1 1 1 1 +1 1 1 1 0 0 1 0 1 0 0 0 0 +1 0 1 0 0 0 0 1 0 0 1 0 1 +0 1 0 1 1 0 1 0 1 0 1 1 1 +1 0 0 0 0 1 0 1 0 0 0 0 1 +0 0 1 1 1 1 1 0 0 1 1 1 0 +1 1 1 0 0 1 0 1 0 1 1 0 0 +0 1 1 0 0 1 1 0 0 0 0 0 1 +1 1 0 1 1 0 0 1 1 0 1 1 0 +1 1 1 1 0 0 0 0 0 0 1 1 0 +0 1 0 0 0 0 1 1 0 0 0 0 1 +1 0 0 0 0 1 1 1 1 1 0 1 1 +0 0 0 1 1 0 0 1 1 0 1 0 0 +0 1 1 0 1 1 1 0 1 1 1 0 1 +1 0 1 0 0 1 1 0 0 0 0 0 1 +0 0 1 0 0 1 0 1 0 0 0 0 0 +1 1 0 0 0 0 0 1 0 0 0 1 0 +0 1 1 1 0 0 1 1 1 0 0 1 1 +0 0 0 0 1 1 0 1 1 1 0 1 0 +1 0 0 1 0 0 0 0 1 0 0 0 1 +1 1 0 0 1 1 0 1 1 0 1 0 0 +0 1 1 0 0 1 0 1 0 1 1 1 1 +0 0 1 0 1 0 1 1 1 0 0 1 0 +0 1 0 1 1 1 1 1 0 0 0 0 1 +1 1 1 1 0 1 0 1 1 1 0 0 0 +1 0 0 1 0 0 0 0 0 0 1 0 1 +0 1 1 0 0 0 0 0 1 0 1 0 1 +0 0 1 1 0 0 1 1 1 0 0 0 0 +0 1 1 0 1 0 1 0 0 0 0 1 1 +0 1 1 0 1 1 0 0 0 0 0 1 1 +0 1 0 0 0 0 0 1 1 1 1 0 1 +0 0 0 1 0 0 1 0 1 1 1 1 0 +0 1 0 0 0 0 0 1 0 0 1 1 1 +0 0 1 0 0 0 0 1 1 1 0 1 0 +1 1 1 1 1 1 0 1 0 0 1 0 0 +1 1 0 1 0 1 1 0 0 1 0 1 0 +1 0 1 1 0 0 1 1 1 0 1 0 1 +1 0 1 0 0 0 0 1 1 0 0 1 1 +0 1 1 1 1 1 1 0 1 1 1 0 1 +1 1 1 1 1 0 1 0 0 0 0 0 0 +1 0 0 0 0 1 1 0 0 0 0 1 1 +0 1 0 0 1 0 0 1 0 0 0 0 1 +1 0 1 0 1 0 0 0 0 1 0 0 1 +0 0 0 1 1 0 0 0 0 1 0 1 0 +1 1 1 0 0 1 1 1 0 0 1 0 0 +0 1 1 1 1 1 0 0 1 1 0 0 1 +1 1 1 1 0 1 0 1 0 1 1 0 0 +1 0 1 0 1 0 1 0 0 1 1 0 1 +0 0 1 1 0 0 1 0 0 0 0 0 0 +0 1 1 0 1 0 0 0 1 1 0 1 1 +1 0 0 0 1 1 0 1 0 0 0 0 1 +0 0 1 0 0 1 1 0 1 0 1 0 0 +1 0 1 1 0 1 0 0 1 1 0 1 1 +1 1 0 0 0 0 1 1 0 0 1 0 0 +1 1 0 1 0 0 0 0 0 0 0 1 0 +0 0 0 1 0 1 0 0 0 1 0 1 0 +1 0 1 1 0 1 0 1 0 0 0 1 1 +1 0 1 1 0 0 1 0 1 1 1 0 1 +1 0 0 1 0 0 1 0 0 1 1 0 1 +0 1 1 0 0 0 0 1 1 0 1 1 1 +1 0 0 1 1 0 0 1 0 1 1 0 1 +0 0 0 1 1 0 0 1 0 0 1 1 0 +1 0 1 1 1 0 0 0 0 0 1 0 1 +1 0 0 0 1 0 1 0 0 0 0 1 1 +1 1 0 1 1 0 0 1 0 0 1 1 0 +0 0 1 0 1 1 0 1 1 0 1 0 0 +1 1 0 0 0 0 1 1 0 1 0 0 0 +0 1 0 0 1 0 0 1 1 0 1 1 1 +0 0 0 0 1 1 1 1 0 0 0 0 0 +0 1 1 1 1 0 1 1 0 0 1 1 1 +0 0 1 0 0 0 1 1 0 0 0 1 0 +0 1 1 1 1 0 0 0 0 0 0 0 1 +0 1 1 0 0 0 1 0 0 1 1 1 1 +0 0 1 0 0 1 0 1 1 1 1 1 0 +0 1 1 0 0 0 1 0 1 0 1 0 1 +1 0 0 0 1 0 0 1 0 0 0 1 1 +0 0 0 1 1 1 1 0 1 1 0 0 0 +0 0 0 0 0 1 1 1 1 1 0 1 0 +1 1 1 0 1 1 0 0 1 0 1 0 0 +1 0 0 0 1 1 1 0 0 0 1 0 1 +0 0 0 0 1 1 0 1 1 1 1 1 0 +1 1 1 0 0 1 0 0 0 0 1 1 0 +0 1 0 1 1 1 0 1 1 0 0 1 1 +1 0 1 1 0 0 1 1 1 1 0 0 1 +0 0 0 0 0 1 1 1 0 1 0 0 0 +1 0 0 1 1 0 1 1 1 1 0 0 1 +0 0 1 1 0 1 0 0 1 0 0 1 0 +1 1 0 1 0 1 1 0 0 0 1 0 0 +0 0 0 1 0 1 0 1 0 1 1 1 0 +1 0 0 1 0 1 0 1 1 1 0 0 1 +0 1 0 0 1 1 1 1 1 1 0 1 1 +1 0 0 0 0 0 0 1 1 1 0 0 1 +0 0 0 1 1 0 1 0 1 1 0 0 0 +0 0 1 0 0 1 0 1 1 1 1 1 0 +0 1 0 0 1 1 1 1 1 0 1 0 1 +1 0 0 0 1 0 0 0 1 0 1 0 1 +0 1 1 0 1 0 1 0 0 1 0 0 1 +0 0 0 0 0 0 1 1 1 0 1 0 0 +1 1 1 1 0 0 0 1 0 0 1 1 0 +0 1 0 1 1 1 1 0 1 0 0 0 1 +1 1 0 0 1 1 0 0 1 1 0 1 0 +0 1 1 0 1 0 1 0 1 1 1 1 1 +0 1 1 0 0 0 0 1 0 0 0 1 1 +1 1 1 1 0 0 1 1 0 0 1 1 0 +0 0 1 1 0 0 0 1 1 1 0 0 0 +1 0 1 0 0 1 0 1 0 0 1 0 1 +0 1 0 1 1 1 1 0 1 0 1 0 1 +1 1 0 1 0 0 0 0 0 1 1 0 0 +1 1 1 1 0 0 1 1 0 0 1 1 0 +0 1 0 1 1 1 1 0 1 0 1 1 1 +1 0 0 1 1 1 0 0 0 0 0 0 1 +1 1 1 0 0 0 0 0 0 0 0 0 0 +1 0 1 0 1 0 1 1 0 1 0 1 1 +1 0 1 0 0 1 0 0 0 0 0 1 1 +1 1 1 1 1 1 1 0 0 0 1 0 0 +1 0 1 0 0 0 1 1 0 0 1 1 1 +0 0 0 1 1 1 1 1 0 0 0 0 0 +1 1 1 1 0 0 0 0 0 0 0 0 0 +1 1 0 0 0 0 1 1 1 1 0 0 0 +1 0 0 0 1 1 1 0 0 0 1 1 1 +1 0 0 1 0 1 1 1 0 0 0 0 1 +0 1 0 1 1 1 0 0 0 1 0 1 1 +0 0 0 1 1 1 1 1 1 0 1 1 0 +0 1 1 1 1 1 0 0 0 1 1 0 1 +0 0 1 0 1 0 1 1 0 0 0 1 0 +0 0 0 1 0 0 1 0 0 1 0 1 0 +0 1 0 1 1 1 0 1 1 1 0 0 1 +0 0 0 0 0 1 1 1 1 1 0 1 0 +0 0 0 1 0 1 1 1 1 1 0 1 0 +1 0 0 0 0 1 1 1 0 0 0 0 1 +0 0 0 1 1 1 1 1 1 1 0 0 0 +0 1 1 0 1 1 0 0 0 1 1 1 1 +0 0 1 1 1 1 1 1 0 1 0 1 0 +1 0 1 0 1 1 1 0 0 1 0 1 1 +0 0 1 0 0 1 1 1 0 0 0 0 0 +1 1 1 1 0 1 1 1 0 1 1 1 0 +1 1 1 0 0 1 0 1 1 0 0 0 0 +0 1 0 0 1 0 0 0 0 0 1 0 1 +1 1 1 0 0 1 1 1 0 1 0 0 0 +0 0 1 1 1 0 1 0 1 1 1 0 0 +0 0 1 0 1 1 1 0 1 0 0 1 0 +1 0 1 0 1 0 0 1 0 0 0 0 1 +0 1 1 1 1 0 1 1 0 0 1 0 1 +0 1 0 1 1 0 1 1 1 0 1 0 1 +1 0 0 0 0 0 0 1 0 1 0 1 1 +1 1 1 0 1 0 0 0 1 1 1 1 0 +0 1 1 1 1 1 1 1 0 1 0 1 1 +1 1 1 0 0 0 0 1 0 1 1 0 0 +1 1 1 0 1 0 0 0 1 0 0 0 0 +0 1 0 0 0 1 0 0 0 0 1 0 1 +0 0 0 1 1 1 1 0 0 0 1 0 0 +1 1 0 1 1 0 1 0 0 0 0 1 0 +1 0 0 0 1 0 1 1 1 1 1 1 1 +1 1 0 0 0 1 0 1 1 0 1 0 0 +1 0 0 1 0 0 0 0 0 1 1 0 1 +1 0 1 1 1 1 0 1 1 1 0 1 1 +0 0 1 0 0 1 0 0 1 0 1 0 0 +0 0 0 1 1 0 0 0 0 1 0 0 0 +1 1 1 1 0 0 1 0 1 1 0 0 0 +0 0 1 1 1 0 1 1 1 1 0 1 0 +0 0 0 0 1 0 1 0 1 1 0 0 0 +0 1 0 0 1 0 0 1 0 0 1 0 1 +0 0 0 0 0 1 0 0 1 1 1 0 0 +0 0 1 1 0 0 1 0 0 0 1 0 0 +1 1 1 1 0 0 1 0 0 1 1 0 0 +0 0 1 0 1 1 0 1 1 1 0 1 0 +0 0 0 0 1 1 1 0 1 1 0 1 0 +0 0 1 1 0 1 0 1 0 1 1 0 0 +0 1 0 0 1 1 0 1 0 0 1 0 1 +0 1 0 0 0 0 0 1 1 0 0 0 1 +1 0 0 0 0 1 0 1 0 0 1 1 1 +0 0 1 1 1 0 0 1 1 1 0 1 0 +1 1 0 1 0 1 1 1 1 1 1 0 0 +0 1 1 1 0 0 0 1 0 0 1 0 1 +0 1 0 0 1 0 0 1 1 0 0 1 1 +0 0 1 1 0 0 1 0 1 0 0 0 0 +0 0 0 1 1 0 1 0 1 0 0 0 0 +1 1 1 1 0 1 0 1 1 1 0 1 0 +1 0 0 1 1 0 0 1 1 1 0 0 1 +1 1 0 0 0 0 0 1 1 0 1 0 0 +1 1 0 1 1 1 0 0 1 1 1 0 0 +1 1 0 1 0 0 1 0 0 1 1 0 0 +0 0 1 0 1 1 1 0 1 0 1 1 0 +0 0 0 1 0 1 0 1 1 0 0 1 0 +1 1 1 1 1 1 1 1 1 0 0 0 0 +1 0 1 0 0 1 1 0 0 0 1 0 1 +1 1 1 0 0 1 1 1 1 0 0 1 0 +1 0 1 1 1 0 1 1 1 0 0 0 1 +0 1 0 0 1 1 0 0 1 0 0 1 1 +1 1 1 1 1 0 1 0 1 1 1 1 0 +0 0 1 1 1 0 1 0 1 0 0 1 0 +1 1 1 0 0 1 1 1 0 1 0 0 0 +0 0 1 1 1 1 1 0 0 1 1 0 0 +0 1 0 1 0 0 1 0 0 1 0 1 1 +0 1 1 1 0 0 1 1 0 1 0 0 1 +0 0 0 1 0 0 1 0 1 0 1 0 0 +1 0 1 0 0 1 1 0 0 0 0 1 1 +0 1 1 0 1 0 0 1 1 0 1 1 1 +0 1 0 0 1 0 0 1 0 0 1 0 1 +0 1 1 1 1 0 1 1 1 1 0 0 1 +1 1 0 0 1 0 0 0 1 0 0 1 0 +0 0 0 1 1 1 1 0 0 0 0 0 0 +0 0 0 0 1 1 0 0 0 1 1 1 0 +1 0 0 0 1 0 1 0 0 0 0 0 1 +1 1 0 1 1 0 1 0 1 0 1 1 0 +1 0 1 0 0 1 0 1 1 1 0 0 1 +1 0 1 1 0 1 0 1 1 0 1 0 1 +1 1 1 0 0 0 1 1 0 0 0 0 0 +1 1 1 1 1 1 0 0 1 0 0 0 0 +0 1 0 1 0 0 1 0 0 1 1 1 1 +1 1 1 0 0 1 0 1 1 1 1 1 0 +0 1 0 0 0 1 0 0 0 0 0 0 1 +1 1 0 0 0 1 0 0 1 0 1 1 0 +0 1 1 0 0 1 1 0 1 1 1 1 1 +0 1 0 0 0 0 0 0 0 1 0 1 1 +0 1 0 1 1 0 0 1 1 1 0 1 1 +1 1 0 0 0 0 0 0 1 1 1 0 0 +0 1 0 0 1 1 1 1 1 1 0 1 1 +1 0 0 0 0 1 0 1 0 0 1 1 1 +1 1 0 0 0 1 1 1 0 0 0 1 0 +0 0 0 1 1 0 0 1 1 1 0 1 0 +0 0 1 1 0 0 1 1 1 0 0 0 0 +0 0 0 1 0 1 1 0 0 1 0 0 0 +0 1 0 0 1 1 0 0 1 0 0 0 1 +1 0 1 1 1 0 1 0 1 1 0 1 1 +0 1 0 1 0 1 1 1 1 1 1 0 1 +1 1 1 0 1 1 0 0 0 1 1 0 0 +1 0 1 0 1 0 0 0 1 0 0 0 1 +1 1 0 0 1 1 0 0 0 1 0 0 0 +0 0 1 0 0 1 1 0 1 1 1 0 0 +0 1 0 1 1 1 1 0 0 1 1 0 1 +0 0 0 0 1 1 0 0 1 0 0 1 0 +0 1 1 1 0 0 1 0 0 1 0 0 1 +1 1 0 1 1 1 0 0 0 0 0 0 0 +0 0 1 0 0 1 0 1 0 1 0 0 0 +0 1 1 0 0 1 0 1 0 0 1 0 1 +1 0 1 0 1 1 0 1 0 0 1 1 1 +1 1 1 0 0 1 0 0 0 1 0 1 0 +1 0 0 0 0 0 1 0 1 1 0 0 1 +0 1 1 1 1 1 1 0 0 0 0 0 1 +1 0 1 0 1 0 1 0 0 1 1 1 1 +1 1 1 1 1 0 0 0 0 0 1 0 0 +0 0 0 0 0 0 1 0 0 1 0 1 0 +0 0 0 0 0 0 0 1 0 1 1 1 0 +0 0 0 0 0 0 1 1 0 1 1 1 0 +0 0 1 1 0 1 1 0 0 0 1 0 0 +1 0 1 1 0 0 1 0 0 0 0 1 1 +0 1 0 0 0 1 1 1 1 1 1 1 1 +1 0 1 0 0 0 0 1 0 0 0 1 1 +0 1 0 0 1 0 1 0 1 0 1 0 1 +1 1 0 0 1 0 1 1 1 0 0 0 0 +0 1 0 1 1 0 0 1 0 1 0 1 1 +0 1 0 1 0 1 1 0 0 1 1 0 1 +1 1 0 1 1 1 0 0 1 0 0 0 0 +0 0 0 0 0 0 0 0 1 1 0 1 0 +1 1 1 0 1 0 1 0 1 0 0 1 0 +0 1 1 1 1 1 1 1 0 0 1 0 1 +0 1 0 1 1 1 1 1 0 1 1 1 1 +0 0 1 1 1 1 0 0 0 1 0 0 0 +1 1 0 1 1 1 1 1 1 0 1 0 0 +1 0 0 0 1 1 1 0 0 1 1 0 1 +1 1 1 1 0 0 1 1 1 1 1 0 0 +0 0 0 0 0 0 0 1 0 1 0 1 0 +0 0 1 0 0 0 1 0 0 0 0 1 0 +0 0 0 0 0 1 0 1 1 0 0 1 0 +1 1 1 0 0 1 0 1 0 1 0 0 0 +0 0 0 1 1 1 1 0 1 1 0 1 0 +0 0 0 1 1 0 0 1 1 0 0 1 0 +0 0 0 0 1 1 0 1 0 0 1 0 0 +0 1 0 0 1 1 1 0 0 1 1 0 1 +0 1 0 0 1 0 1 0 0 0 0 1 1 +0 0 0 0 1 1 1 1 0 0 0 1 0 +0 0 0 0 0 1 1 0 0 1 1 0 0 +0 1 1 1 1 0 0 0 0 0 0 0 1 +0 0 0 0 1 0 0 0 0 0 1 0 0 +0 0 0 1 1 1 1 1 1 0 1 0 0 +0 0 0 1 1 1 1 1 1 0 0 1 0 +1 0 1 0 1 0 1 0 1 0 1 1 1 +1 0 1 0 1 1 1 1 1 0 0 0 1 +0 1 1 0 1 1 1 1 1 1 1 0 1 +0 0 1 0 1 1 1 1 0 1 0 0 0 +1 0 0 1 1 0 0 1 0 0 1 1 1 +1 1 0 1 1 0 1 0 0 1 0 1 0 +1 1 0 0 1 0 1 1 0 0 0 1 0 +1 1 0 1 1 1 0 1 1 1 1 1 0 +1 1 0 0 0 1 1 1 0 0 0 0 0 +1 0 1 0 1 0 1 1 0 1 0 0 1 +1 1 1 1 1 1 0 1 0 1 0 0 0 +0 1 1 1 0 0 0 0 1 0 0 1 1 +1 0 0 1 0 1 1 1 1 0 1 0 1 +1 0 1 1 1 1 1 0 1 0 1 0 1 +0 0 0 1 1 0 0 1 1 0 1 1 0 +1 1 1 0 1 0 0 1 0 1 0 1 0 +1 1 0 0 1 1 1 0 0 0 1 0 0 +1 0 0 0 0 0 0 1 1 0 1 1 1 +1 1 0 1 0 1 0 0 1 0 0 0 0 +0 1 1 0 1 0 0 0 0 1 1 1 1 +0 0 1 0 0 1 1 0 0 1 0 0 0 +0 1 1 1 0 0 1 1 0 0 0 0 1 +0 1 0 0 1 1 0 1 0 0 0 1 1 +0 0 1 1 1 0 1 1 1 1 1 0 0 +0 0 1 0 0 0 0 1 0 0 0 0 0 +0 1 0 0 0 1 1 0 0 1 1 1 1 +1 1 0 1 0 1 1 1 0 0 0 0 0 +1 0 1 0 1 0 1 1 0 0 0 0 1 +1 0 0 1 0 1 1 1 1 1 1 0 1 +0 0 0 1 0 1 0 1 0 1 1 0 0 +0 1 0 0 0 1 0 0 0 1 0 1 1 +1 1 1 1 1 1 0 1 0 1 1 0 0 +1 0 0 0 0 0 1 0 1 1 1 0 1 +1 1 1 0 1 1 1 0 0 0 1 0 0 +0 0 0 1 1 0 0 0 0 1 1 0 0 +1 1 1 1 0 0 1 1 0 1 1 0 0 +0 0 0 0 1 0 1 0 0 0 0 1 0 +1 0 0 1 0 0 0 1 1 0 1 1 1 +0 1 0 0 1 1 1 0 0 1 1 0 1 +0 0 0 1 0 0 1 1 1 1 1 0 0 +0 1 1 0 0 0 1 0 0 1 1 1 1 +1 0 1 0 0 1 0 1 1 1 1 0 1 +1 1 0 1 0 1 0 0 1 1 1 0 0 +1 1 1 1 0 1 0 1 0 1 1 0 0 +0 1 0 0 1 0 1 1 1 1 1 1 1 +0 0 1 0 1 0 0 0 0 1 0 0 0 +1 0 1 1 0 0 0 1 1 1 0 1 1 +1 1 0 0 1 0 1 1 1 1 1 1 0 +1 0 0 0 0 0 1 1 1 0 0 0 1 +0 0 1 1 1 1 0 0 1 1 1 0 0 +0 0 1 1 1 0 1 1 0 0 0 1 0 +0 0 1 0 1 0 1 1 1 0 1 1 0 +0 0 1 1 1 0 1 1 0 0 1 0 0 +0 0 1 0 0 0 1 0 0 0 1 1 0 +0 1 0 0 1 0 0 1 1 1 1 1 1 +1 1 1 1 0 0 1 0 0 0 0 1 0 +1 0 1 0 0 1 0 1 0 0 1 0 1 +1 1 1 1 0 0 0 1 1 1 0 0 0 +0 0 1 1 0 0 0 1 0 0 1 0 0 +0 0 1 1 0 0 1 0 0 1 1 1 0 +0 1 0 1 1 0 1 0 0 1 0 1 1 +0 0 1 1 1 1 0 1 1 1 0 1 0 +1 1 1 1 1 0 0 1 0 0 1 1 0 +0 0 0 0 1 0 0 0 0 0 1 0 0 +0 0 0 1 1 0 0 1 1 0 1 1 0 +1 0 0 0 1 0 0 0 0 0 1 0 1 +1 1 0 1 0 0 0 1 1 0 0 0 0 +1 0 1 0 0 1 1 1 0 1 0 0 1 +1 1 1 0 0 0 1 1 0 1 0 1 0 +1 0 1 1 1 1 0 1 0 1 0 1 1 +1 0 0 0 0 1 0 1 0 0 1 1 1 +1 0 0 0 1 1 1 1 0 0 1 0 1 +1 0 1 1 1 1 0 1 1 1 1 0 1 +1 0 1 0 0 1 0 0 0 0 1 1 1 +0 1 1 1 1 0 0 0 0 1 1 0 1 +1 0 0 1 1 0 1 1 1 0 0 1 1 +0 0 0 0 0 0 1 1 0 1 1 1 0 +1 1 1 0 1 1 1 1 0 0 0 0 0 +0 0 1 1 1 1 1 1 0 0 0 0 0 +1 1 1 0 1 1 1 0 1 0 0 0 0 +1 1 1 0 0 1 1 1 0 1 0 1 0 +1 1 0 1 1 1 0 1 1 0 1 1 0 +0 0 1 1 1 1 0 1 1 0 1 1 0 +0 1 1 1 1 0 1 1 0 0 1 1 1 +0 1 1 1 0 0 1 1 1 1 1 1 1 +1 1 1 0 1 1 1 0 0 0 1 0 0 +1 0 0 0 1 0 0 1 1 0 0 0 1 +1 0 0 1 1 1 1 1 1 1 0 1 1 +1 0 0 1 0 1 1 0 1 0 0 1 1 +1 0 1 0 1 1 0 1 0 0 1 1 1 +1 1 0 0 0 1 0 1 1 0 0 0 0 +1 0 1 0 0 0 1 0 1 0 0 0 1 +0 1 0 0 1 0 0 0 0 0 0 1 1 +0 0 1 1 1 0 0 0 0 1 0 0 0 +1 1 0 1 1 1 1 1 0 1 0 0 0 +1 0 0 1 1 1 1 0 0 1 0 1 1 +1 0 0 0 0 1 0 0 0 1 0 1 1 +0 1 1 0 1 1 0 0 1 1 0 0 1 +0 0 1 1 0 0 1 0 0 0 0 1 0 +0 0 1 1 0 1 1 1 0 1 0 0 0 +1 0 1 1 0 0 1 1 1 0 0 1 1 +0 0 0 0 0 0 1 1 1 0 1 1 0 +1 1 0 0 1 1 0 1 1 1 1 0 0 +1 1 0 1 1 0 1 1 0 1 1 0 0 +0 0 0 1 0 0 1 0 1 0 1 0 0 +1 0 0 0 1 1 0 1 1 1 0 1 1 +1 1 1 1 0 0 0 1 0 1 0 0 0 +0 1 1 1 0 1 1 0 0 0 0 1 1 +1 1 0 1 0 0 1 0 1 1 0 1 0 +0 1 1 0 1 0 0 1 0 1 1 0 1 +0 0 1 1 0 1 0 0 0 0 0 1 0 +0 1 1 1 1 0 1 0 0 0 1 1 1 +1 0 1 0 1 0 1 1 0 1 0 0 1 +0 1 0 1 0 0 0 0 0 0 0 0 1 +0 0 1 0 1 0 0 0 0 1 1 0 0 +0 1 0 0 1 0 1 1 1 1 0 0 1 +1 0 1 0 0 1 0 0 0 0 1 1 1 +1 1 0 0 1 1 0 0 0 0 0 1 0 +0 0 0 1 0 0 1 1 0 1 1 1 0 +1 1 1 1 1 0 0 0 0 1 0 0 0 +1 0 0 1 1 0 1 0 1 1 0 1 1 +1 1 1 0 1 0 0 1 0 0 1 1 0 +1 1 0 1 1 1 1 0 0 0 1 1 0 +1 0 1 0 1 0 0 1 1 1 0 0 1 +1 0 1 0 1 0 0 1 1 0 0 0 1 +1 1 0 0 0 1 1 0 0 1 1 1 0 +0 1 0 1 0 0 0 0 0 0 1 1 1 +1 1 0 0 1 0 0 1 1 0 0 1 0 +0 1 1 1 0 0 1 0 1 0 1 1 1 +1 1 1 0 1 0 0 1 1 1 0 1 0 +1 0 0 1 0 1 1 0 1 1 0 0 1 +0 1 1 0 1 1 1 1 1 1 0 0 1 +1 0 1 1 0 1 0 1 1 1 1 1 1 +1 1 1 1 0 0 1 1 0 1 0 0 0 +0 0 0 1 0 1 1 1 0 1 1 1 0 +0 0 1 0 0 1 1 1 0 1 1 0 0 +0 1 1 0 1 0 1 0 1 1 1 1 1 +0 0 0 0 1 0 0 1 1 0 0 0 0 +0 1 1 0 1 1 1 0 0 1 0 1 1 +1 0 1 0 1 0 0 0 1 0 0 0 1 +0 0 1 0 0 0 1 1 1 1 1 1 0 +1 1 0 1 1 1 1 0 0 0 0 0 0 +0 1 0 1 1 0 0 0 0 0 0 1 1 +0 0 1 0 0 0 1 1 1 0 1 1 0 +0 1 0 1 1 1 0 0 0 1 0 1 1 +0 0 1 0 0 0 1 0 1 1 0 0 0 +0 0 0 0 1 0 1 1 1 0 0 0 0 +1 1 1 1 1 1 1 0 1 1 0 0 0 +0 1 1 1 1 1 1 0 1 1 1 0 1 +0 0 1 1 0 1 1 1 1 1 1 0 0 +0 1 1 1 1 1 0 1 1 1 0 0 1 +0 1 1 0 1 0 0 0 0 1 1 1 1 +1 0 1 1 1 0 1 1 0 0 0 0 1 +1 0 1 0 1 1 0 1 0 1 0 0 1 +0 0 0 1 1 0 1 1 0 1 1 1 0 +1 1 0 0 1 1 0 1 1 0 1 0 0 +0 0 0 1 1 1 1 0 1 0 1 1 0 +0 0 0 1 0 0 1 1 1 0 0 0 0 +1 1 1 0 1 1 1 1 0 0 0 1 0 +1 0 0 0 0 1 0 1 1 0 0 1 1 +0 1 0 1 0 1 1 0 1 0 1 0 1 +1 1 0 0 1 0 0 0 0 1 1 1 0 +1 0 1 0 0 0 0 0 0 0 1 0 1 +0 0 0 0 1 1 1 0 1 0 1 1 0 +0 0 1 0 0 0 1 1 1 0 1 0 0 +0 0 0 1 0 0 0 0 1 1 0 0 0 +1 0 0 0 1 0 1 1 1 1 0 0 1 +1 0 1 0 1 1 0 0 1 1 1 0 1 +0 0 0 1 1 1 0 1 1 1 1 0 0 +1 1 0 1 1 1 1 0 1 0 0 0 0 +0 1 0 1 0 1 1 0 1 0 1 1 1 +0 1 0 0 1 1 0 0 1 1 0 1 1 +1 0 0 0 1 0 1 1 0 0 1 0 1 +0 0 1 0 0 0 0 0 0 0 1 0 0 +0 1 0 1 0 1 1 1 0 0 0 0 1 +1 1 0 0 0 1 1 1 1 1 1 0 0 +1 0 1 1 1 0 1 1 1 0 0 1 1 +1 0 1 1 1 0 1 1 0 0 1 0 1 +1 1 1 0 0 0 0 0 1 1 0 0 0 +1 1 1 1 0 0 0 0 1 1 0 0 0 +0 1 1 0 0 1 0 0 0 1 0 1 1 +0 1 1 0 0 1 1 1 1 0 0 1 1 +0 0 1 0 0 1 0 0 1 1 1 1 0 +0 1 1 0 0 1 1 0 0 1 0 0 1 +1 1 1 0 0 1 0 1 1 1 0 1 0 +0 1 0 1 1 1 1 0 0 0 0 1 1 +1 1 0 1 0 0 0 0 1 1 1 1 0 +0 0 0 1 1 0 0 0 1 1 0 0 0 +1 1 0 0 0 0 1 0 0 0 0 1 0 +0 0 0 1 1 0 1 1 1 0 1 0 0 +0 1 1 0 1 1 0 0 0 1 0 0 1 +0 0 0 0 1 0 0 1 1 0 1 1 0 +1 0 0 0 0 1 0 1 1 1 0 1 1 +0 0 0 0 1 0 1 1 1 1 0 0 0 +0 1 0 1 0 1 1 0 1 1 1 1 1 +1 1 1 1 1 0 1 0 0 0 0 1 0 +1 1 0 0 1 0 1 1 1 1 0 1 0 +1 0 1 1 1 1 1 0 1 0 0 0 1 +1 0 1 1 0 0 1 0 0 1 0 0 1 +0 0 0 1 1 1 1 0 1 0 1 0 0 +0 1 1 0 1 1 1 0 1 0 0 0 1 +0 0 1 1 1 1 1 0 0 0 0 1 0 +0 1 0 1 0 0 0 1 0 0 1 0 1 +0 0 1 1 0 1 1 1 1 1 1 1 0 +1 0 1 1 1 0 1 0 1 0 0 0 1 +0 1 1 0 0 1 0 0 1 1 0 1 1 +0 1 0 1 0 0 1 0 1 0 0 0 1 +0 0 0 0 1 0 0 0 0 1 0 1 0 +0 1 1 1 1 0 1 0 0 1 0 0 1 +0 0 1 1 1 0 0 0 1 1 1 0 0 +0 1 0 0 0 0 0 0 1 1 0 0 1 +1 1 1 1 0 1 0 0 0 0 1 0 0 +1 0 1 1 1 0 1 0 0 0 1 0 1 +0 1 1 1 0 1 1 1 1 0 1 1 1 +0 0 1 0 1 1 0 0 0 0 0 0 0 +0 0 0 0 1 1 0 1 1 0 0 1 0 +1 1 1 0 1 0 1 0 0 1 1 1 0 +0 1 1 0 1 0 0 1 0 0 0 0 1 +1 1 0 0 1 0 0 1 0 0 1 1 0 +0 1 0 0 1 1 1 0 0 0 1 0 1 +0 1 0 1 0 1 1 1 1 0 1 1 1 +0 1 0 1 0 1 0 0 0 0 0 1 1 +0 1 1 1 0 1 1 1 0 1 0 1 1 +0 1 0 0 0 0 1 1 1 1 0 0 1 +1 1 1 1 0 0 0 1 0 0 0 0 0 +0 0 1 1 0 0 1 0 1 1 0 0 0 +0 1 1 0 1 0 0 0 1 1 0 1 1 +1 0 1 0 0 1 0 1 1 1 0 1 1 +1 1 1 1 0 0 0 0 0 1 1 1 0 +0 1 1 0 1 0 1 1 1 0 0 1 1 +0 1 1 0 0 0 0 1 0 1 0 1 1 +1 1 1 0 0 1 0 0 0 1 0 1 0 +1 1 1 0 0 1 1 1 0 0 1 1 0 +0 1 1 1 0 0 0 1 0 0 1 1 1 +0 0 1 0 1 1 0 0 0 0 0 0 0 +1 0 1 0 0 0 1 1 0 0 1 1 1 +1 0 1 1 0 1 0 0 0 1 0 0 1 +1 1 0 0 1 1 0 0 1 1 0 1 0 +1 0 1 0 0 0 1 1 1 0 1 1 1 +1 1 1 0 1 0 1 1 0 1 0 0 0 +1 0 0 1 1 0 0 1 0 1 1 0 1 +1 1 1 0 1 1 0 0 1 1 1 1 0 +1 0 1 0 1 1 1 0 1 1 0 0 1 +1 1 1 0 0 0 0 0 0 0 1 1 0 +1 0 1 0 0 1 1 0 1 0 1 1 1 +1 0 0 1 0 1 1 1 1 0 1 0 1 +0 1 0 1 1 1 0 0 1 0 1 1 1 +0 1 0 1 0 0 1 0 0 1 0 0 1 +0 0 0 1 0 1 0 1 0 0 1 0 0 +0 1 1 0 0 1 0 1 1 1 0 1 1 +1 0 0 1 1 1 1 1 1 1 1 0 1 +1 0 1 0 1 0 0 0 1 1 1 0 1 +0 0 0 1 0 0 1 0 0 1 0 1 0 +0 0 1 1 0 1 0 1 0 0 0 1 0 +1 1 1 1 0 0 0 1 1 0 1 0 0 +1 1 1 1 1 1 1 0 1 1 0 1 0 +0 0 0 1 0 0 1 0 0 0 1 0 0 +1 1 1 0 1 1 1 0 1 0 0 1 0 +0 1 1 1 1 1 1 1 1 0 0 1 1 +0 0 0 0 1 1 0 0 0 1 0 0 0 +1 1 1 0 1 0 1 0 0 0 0 1 0 +1 0 1 0 1 0 0 1 1 1 0 1 1 +1 0 0 1 0 1 1 0 1 0 0 0 1 +0 0 0 0 1 1 1 0 1 0 1 1 0 +0 0 0 1 1 1 1 1 0 0 0 1 0 +1 1 0 1 0 1 0 0 1 0 0 1 0 +0 0 1 0 1 1 1 0 0 1 0 0 0 +1 0 0 0 0 1 0 1 0 1 1 0 1 +0 0 1 1 1 0 1 1 1 1 0 0 0 +1 1 0 1 1 1 1 0 1 1 1 1 0 +0 0 0 1 0 1 0 0 1 1 1 1 0 +0 0 0 1 1 0 0 0 1 1 0 0 0 +1 1 0 1 0 0 1 1 1 1 0 0 0 +0 1 1 0 1 0 1 0 1 1 0 1 1 +0 0 0 1 1 0 0 0 0 1 0 1 0 +0 0 0 1 1 1 0 0 1 1 1 0 0 +1 0 1 0 0 0 1 1 0 1 1 1 1 +0 0 1 1 1 1 1 1 0 0 1 1 0 +0 0 0 0 1 0 0 0 0 1 0 0 0 +1 0 0 0 1 1 1 1 1 1 0 0 1 +0 0 1 0 1 1 0 1 1 0 0 0 0 +0 1 1 0 0 1 0 1 0 0 0 1 1 +0 0 0 1 0 0 1 1 1 1 0 1 0 +1 0 0 1 0 1 0 0 0 0 0 1 1 +0 1 1 1 1 1 1 0 1 0 1 1 1 +1 1 1 0 0 0 0 1 1 1 0 0 0 +1 0 0 0 1 1 1 1 1 0 0 1 1 +0 1 1 1 1 1 0 1 1 1 1 1 1 +0 1 1 1 1 0 1 1 0 1 0 1 1 +0 1 1 0 1 1 0 1 1 1 1 1 1 +0 1 1 0 1 1 1 1 0 1 0 1 1 +0 0 1 0 1 1 1 0 1 1 0 1 0 +0 1 0 0 0 0 1 1 0 1 0 0 1 +0 0 1 1 0 1 1 1 1 0 1 1 0 +0 1 1 1 0 0 1 0 0 1 1 0 1 +0 0 1 0 1 0 1 1 0 0 1 1 0 +0 0 1 0 1 0 0 1 1 1 0 0 0 +1 0 0 0 0 1 1 1 0 1 0 0 1 +0 1 1 1 1 1 1 1 0 0 0 1 1 +0 1 1 0 1 0 1 1 0 1 0 0 1 +0 0 1 1 1 1 1 0 0 0 0 0 0 +0 0 1 0 0 0 1 1 1 1 1 1 0 +0 1 1 0 1 1 1 1 0 0 1 1 1 +1 1 0 0 1 1 1 1 0 1 0 0 0 +0 1 0 0 0 1 0 0 1 0 1 0 1 +1 0 1 0 1 1 0 0 0 0 1 0 1 +0 0 1 1 0 1 1 0 1 0 1 1 0 +0 0 0 0 0 0 0 1 0 1 1 1 0 +1 1 1 1 1 1 1 1 0 1 1 0 0 +0 1 1 1 0 0 1 0 0 0 0 1 1 +1 1 1 1 1 1 1 1 0 0 1 1 0 +0 1 1 1 1 0 1 1 1 1 0 0 1 +0 1 1 1 0 1 1 0 0 1 0 0 1 +1 1 1 1 1 0 1 1 0 0 1 1 0 +1 1 1 1 0 0 0 1 1 1 0 1 0 +1 0 0 1 0 0 1 1 0 1 0 1 1 +1 0 0 1 0 0 1 1 0 0 1 1 1 +0 0 0 0 0 0 1 1 0 0 0 1 0 +1 1 1 1 0 0 0 1 1 1 0 0 0 +1 1 0 1 1 0 1 0 1 1 1 1 0 +1 1 1 0 0 0 1 1 1 0 1 1 0 +1 0 0 1 0 1 1 0 1 1 1 1 1 +1 1 0 0 1 0 0 0 1 0 0 1 0 +1 0 1 0 1 1 0 1 1 1 1 0 1 +0 0 0 1 1 1 1 1 0 0 0 1 0 +0 0 0 0 1 1 0 1 1 1 1 0 0 +0 0 1 0 1 0 1 0 1 0 0 0 0 +1 1 1 1 0 0 1 1 0 1 0 1 0 +0 1 0 1 0 1 0 0 0 0 1 0 1 +1 1 1 1 0 0 1 1 1 0 0 1 0 +0 1 1 1 0 0 1 0 1 1 0 0 1 +0 1 1 1 1 1 1 1 0 0 0 0 1 +0 1 1 1 1 1 1 1 1 0 1 0 1 +0 1 1 0 0 0 0 0 1 0 0 0 1 +0 1 1 1 1 0 1 1 1 1 0 1 1 +0 0 1 0 0 0 0 0 1 0 0 1 0 +0 1 0 1 1 0 0 0 0 1 0 0 1 +0 0 1 1 1 1 1 1 0 1 1 1 0 +0 1 0 0 0 1 1 1 0 0 0 1 1 +1 0 0 1 1 1 1 1 1 1 0 1 1 +0 0 1 1 1 1 1 0 0 1 0 0 0 +0 0 1 1 0 0 0 0 1 1 1 0 0 +0 0 1 0 0 0 1 0 1 0 1 0 0 +1 1 1 0 1 0 1 0 0 1 0 0 0 +1 1 0 1 0 1 0 0 1 1 1 1 0 +0 1 0 1 1 0 0 1 0 0 1 1 1 +0 0 0 0 1 1 0 1 0 0 0 1 0 +0 0 1 1 1 0 1 0 1 0 1 1 0 +1 0 1 0 1 0 0 1 0 1 1 0 1 +0 0 1 1 1 0 1 1 0 0 1 1 0 +0 0 0 1 1 1 0 1 0 1 0 1 0 +0 0 1 1 0 1 0 1 1 1 0 0 0 +1 0 0 0 1 0 1 1 1 1 1 0 1 +0 1 0 0 1 0 0 0 1 1 1 1 1 +0 1 0 1 0 0 0 1 1 1 1 1 1 +0 1 1 1 1 0 1 1 0 0 1 1 1 +0 1 0 1 0 1 1 1 1 1 0 1 1 +0 0 0 1 0 1 1 0 0 0 1 1 0 +1 1 1 1 1 0 0 1 0 1 0 1 0 +0 0 0 1 1 0 1 1 0 0 1 1 0 +1 1 1 1 0 1 0 1 1 1 0 0 0 +1 0 1 0 0 1 0 1 0 0 0 1 1 +1 0 0 0 0 1 1 0 0 1 0 1 1 +1 1 1 0 0 1 1 0 1 0 0 1 0 +1 1 1 0 0 1 1 1 0 0 1 1 0 +0 1 0 0 1 1 1 1 0 0 1 1 1 +0 1 1 0 1 1 0 0 0 0 1 0 1 +1 0 1 1 1 0 1 1 0 0 1 1 1 +0 1 1 0 1 0 1 1 0 1 1 0 1 +0 0 1 0 1 1 0 0 1 1 1 0 0 +0 0 1 1 0 1 1 1 1 0 1 0 0 +0 1 1 1 0 0 1 1 0 0 0 0 1 +1 0 1 1 1 0 1 0 1 0 0 0 1 +1 1 0 1 1 1 0 1 0 1 1 1 0 +1 1 1 0 1 0 1 1 0 1 1 1 0 +1 1 0 0 1 0 0 0 1 0 1 1 0 +1 0 1 1 0 0 0 1 1 1 0 1 1 +0 0 1 1 1 1 0 0 1 1 1 1 0 +0 1 0 1 0 0 1 0 1 1 1 1 1 +0 0 0 1 1 1 0 1 1 0 0 0 0 +0 0 1 1 1 1 0 0 0 0 1 0 0 +1 0 0 0 0 0 0 1 1 0 0 1 1 +1 1 1 0 1 1 0 0 0 0 0 1 0 +0 0 1 1 1 1 0 0 1 1 0 1 0 +0 1 1 0 1 1 1 1 0 0 0 1 1 +1 1 0 1 0 1 1 1 1 0 0 0 0 +1 1 1 0 0 1 0 1 0 1 0 0 0 +1 1 0 0 1 0 1 1 1 1 1 0 0 +0 1 1 1 1 1 0 0 0 0 1 1 1 +1 1 1 0 1 1 1 1 0 1 0 0 0 +0 1 0 1 0 0 1 1 1 1 1 1 1 +0 1 1 1 1 1 1 0 1 0 0 0 1 +1 1 1 1 1 1 0 1 0 1 1 0 0 +1 1 0 0 1 0 0 0 0 1 0 1 0 +0 1 0 1 1 0 1 1 0 1 1 1 1 +1 0 1 0 1 0 1 0 1 0 1 1 1 +0 1 0 0 1 0 1 1 1 1 1 0 1 +0 0 1 1 1 0 0 1 0 1 0 1 0 +0 1 1 0 0 1 0 1 0 1 1 0 1 +0 1 0 0 0 1 1 1 1 1 0 0 1 +1 0 1 0 1 0 1 1 0 1 0 0 1 +0 1 0 0 1 0 0 0 1 1 1 0 1 +0 0 0 0 0 0 1 0 1 0 0 1 0 +0 0 1 0 0 0 1 1 0 1 1 0 0 +0 0 1 1 1 0 1 1 0 0 1 0 0 +1 1 0 0 0 1 0 0 1 1 1 1 0 +0 0 1 0 0 1 1 1 1 0 1 0 0 +1 0 1 1 1 0 1 1 1 1 1 0 1 +0 0 0 0 1 0 0 0 1 1 1 1 0 +1 1 1 0 0 0 0 1 0 0 1 0 0 +1 1 0 1 1 0 1 0 0 1 0 0 0 +0 1 1 0 1 1 1 0 0 0 0 0 1 +1 0 1 0 0 1 0 0 1 0 0 1 1 +1 1 1 1 0 0 0 1 0 0 0 1 0 +0 0 1 0 1 0 0 1 0 1 1 0 0 +1 1 1 1 0 0 0 0 0 0 0 1 0 +1 0 1 1 0 1 0 1 0 0 0 0 1 +0 1 1 1 1 1 0 1 0 0 0 0 1 +1 0 0 1 0 1 0 0 1 1 1 1 1 +0 0 0 0 1 0 1 0 0 1 0 0 0 +0 1 0 0 1 1 1 0 0 0 1 1 1 +1 0 1 0 0 0 0 0 1 0 0 0 1 +0 0 1 0 0 1 0 0 1 0 1 0 0 +1 0 0 0 1 0 0 1 1 1 1 0 1 +0 1 0 0 0 1 0 0 1 1 1 1 1 +0 0 0 0 1 0 0 1 0 1 0 0 0 +1 0 1 0 0 1 0 0 0 0 0 0 1 +0 0 0 1 1 1 0 0 0 1 1 0 0 +0 0 1 0 1 1 0 1 0 1 0 0 0 +1 0 0 1 1 0 1 1 1 1 0 0 1 +0 0 0 1 0 1 1 1 0 1 0 0 0 +0 0 0 0 0 0 0 0 0 1 1 0 0 +1 0 1 0 0 1 0 1 0 0 0 1 1 +1 1 0 1 1 1 1 1 1 0 0 0 0 +1 0 1 0 0 1 1 1 1 1 0 1 1 +1 1 0 0 0 1 0 1 0 1 0 1 0 +1 0 1 1 0 0 0 0 1 0 0 1 1 +0 0 1 0 1 0 1 1 0 0 1 1 0 +1 1 1 1 1 1 0 1 0 1 1 0 0 +0 1 0 1 1 0 0 1 1 0 1 0 1 +1 1 1 1 0 0 1 0 0 0 1 0 0 +1 0 1 1 0 0 0 1 0 1 0 0 1 +0 0 1 0 1 1 0 1 0 1 1 0 0 +0 1 1 1 1 1 1 1 0 0 0 0 1 +0 1 0 0 0 0 1 1 1 0 1 1 1 +0 0 1 1 1 0 0 1 0 1 1 1 0 +1 0 0 1 1 1 1 0 1 0 1 1 1 +0 0 1 1 1 1 1 0 1 0 1 1 0 +0 1 1 0 1 1 0 0 0 0 1 0 1 +0 1 1 1 0 0 0 1 0 0 1 1 1 +1 1 1 1 0 1 1 0 1 1 1 0 0 +1 0 1 1 0 0 0 0 1 0 1 1 1 +0 1 0 1 1 0 1 0 0 1 1 0 1 +1 1 0 0 0 0 1 1 0 0 1 1 0 +1 1 1 1 0 0 1 1 0 0 0 1 0 +1 1 1 0 1 0 0 0 0 1 1 1 0 +0 0 1 1 1 1 0 0 1 1 1 1 0 +0 0 0 1 1 1 1 1 1 0 1 1 0 +1 0 0 1 1 1 0 0 0 1 0 1 1 +1 0 0 1 1 1 1 0 1 0 1 0 1 +1 1 1 1 1 1 0 1 0 1 1 1 0 +1 0 1 1 0 1 1 0 0 1 1 1 1 +0 0 0 1 1 0 1 0 1 1 0 1 0 +1 1 0 1 1 1 0 0 1 1 1 1 0 +0 1 0 0 1 0 0 0 1 1 1 1 1 +1 0 0 0 1 1 0 1 1 0 0 1 1 +1 0 1 1 1 1 0 1 0 0 1 1 1 +0 1 1 1 0 1 0 1 1 1 1 0 1 +0 0 1 0 0 1 0 0 1 1 0 0 0 +1 0 0 1 1 1 1 0 0 1 0 1 1 +0 1 1 0 1 0 1 1 1 0 1 0 1 +1 1 0 0 0 1 1 0 1 1 0 1 0 +0 1 1 0 1 1 1 1 0 1 0 1 1 +0 0 0 0 1 0 0 1 1 0 0 1 0 +0 0 1 1 0 0 1 0 0 0 0 1 0 +1 1 0 1 0 0 0 0 0 0 0 0 0 +1 0 1 1 1 0 0 0 0 1 0 1 1 +0 1 1 0 0 0 1 0 1 0 0 0 1 +1 0 1 0 0 0 0 1 1 0 1 1 1 +1 0 1 0 1 0 0 0 1 0 0 1 1 +1 1 0 0 0 1 1 1 0 1 1 1 0 +0 1 0 1 1 0 0 0 1 0 1 0 1 +0 1 0 1 0 0 1 0 0 1 0 0 1 +0 0 0 0 1 1 1 0 0 0 0 0 0 +0 1 1 1 0 0 1 1 1 1 0 0 1 +0 0 0 0 1 0 0 0 0 0 1 0 0 +0 0 0 1 1 0 0 0 0 0 1 0 0 +1 1 1 0 0 1 1 1 0 1 1 0 0 +1 0 0 0 1 0 0 0 0 1 0 1 1 +0 0 1 1 0 0 0 1 1 0 1 1 0 +1 0 1 1 0 1 0 1 1 0 1 1 1 +0 0 0 1 1 0 1 1 1 1 0 1 0 +0 0 1 1 1 1 0 0 1 0 1 0 0 +1 0 1 1 1 1 1 0 1 1 1 1 1 +0 0 0 0 1 1 0 1 1 1 0 0 0 +1 1 0 1 1 0 0 0 1 0 0 1 0 +0 0 1 0 1 1 0 0 0 0 1 0 0 +1 0 0 0 1 1 1 0 0 0 1 0 1 +0 1 1 1 0 1 0 0 1 0 1 1 1 +1 1 0 1 1 0 0 0 0 0 1 0 0 +1 1 1 1 1 0 1 1 0 1 1 0 0 +1 1 1 0 0 1 1 0 1 1 0 1 0 +1 0 0 0 1 0 0 0 1 1 1 1 1 +1 1 1 1 1 0 0 0 1 1 1 1 0 +1 1 1 1 0 0 0 0 0 0 1 0 0 +0 1 0 1 1 1 0 0 0 0 0 0 1 +1 0 0 0 1 0 1 1 1 1 1 0 1 +1 1 0 1 1 0 1 0 0 1 0 1 0 +1 1 1 1 0 0 0 0 0 0 1 1 0 +1 1 0 0 0 1 0 0 1 0 1 0 0 +1 0 1 1 0 1 0 0 1 0 1 1 1 +0 0 1 0 0 1 1 1 1 0 1 0 0 +0 0 0 0 0 1 1 0 0 1 1 1 0 +0 0 0 0 0 1 1 1 1 1 0 0 0 +1 0 1 1 1 0 0 1 0 1 1 1 1 +1 1 0 1 1 1 1 0 0 0 0 0 0 +1 0 0 1 1 0 0 1 0 0 1 0 1 +1 1 0 1 1 0 0 0 1 0 1 0 0 +1 1 0 0 1 1 0 1 1 0 0 0 0 +0 1 0 0 0 0 0 0 0 0 1 0 1 +1 0 1 1 0 0 1 1 1 1 0 0 1 +0 1 0 1 0 1 1 1 1 0 0 0 1 +0 1 0 0 1 1 1 1 0 1 0 0 1 +0 0 1 1 1 0 1 1 1 1 1 1 0 +0 0 1 1 1 0 1 1 0 1 1 0 0 +1 1 1 0 1 1 1 1 1 1 1 0 0 +0 1 1 1 1 0 0 1 0 0 0 0 1 +0 1 1 1 1 1 0 0 0 0 0 0 1 +1 0 1 0 1 0 1 1 0 1 1 1 1 +1 0 0 0 1 1 0 1 0 0 0 0 1 +0 1 1 1 1 0 1 0 0 0 0 1 1 +1 1 1 0 0 1 1 1 1 0 1 0 0 +0 1 1 0 1 1 1 0 1 0 1 1 1 +1 1 1 1 0 0 1 1 1 1 1 0 0 +0 1 1 1 0 0 1 1 1 0 0 1 1 +1 0 1 1 1 1 1 1 0 1 1 1 1 +1 0 0 1 1 0 0 1 0 1 1 1 1 +1 0 0 0 0 1 0 1 0 1 0 1 1 +1 1 0 0 0 0 1 1 0 0 0 1 0 +1 0 1 1 1 0 0 0 1 1 0 0 1 +1 1 0 1 0 0 1 1 0 1 1 0 0 +0 0 0 1 1 0 1 0 0 1 1 0 0 +1 1 0 0 0 1 0 1 1 1 1 0 0 +0 0 1 1 0 0 1 0 0 1 0 0 0 +1 0 0 1 0 1 1 0 0 1 0 0 1 +1 1 0 0 0 1 1 1 0 0 1 1 0 +1 0 0 1 1 0 1 0 1 0 1 0 1 +0 0 0 1 1 0 1 1 0 0 1 1 0 +0 1 1 0 0 0 1 0 1 0 1 0 1 +0 0 0 1 0 0 1 0 0 1 0 0 0 +1 1 1 0 0 1 1 0 1 1 1 0 0 +0 0 1 1 1 1 1 1 1 0 1 0 0 +0 0 1 0 1 0 0 1 0 0 0 0 0 +1 1 0 0 0 0 0 0 0 0 1 0 0 +1 0 0 1 1 1 1 1 0 0 1 0 1 +0 0 0 1 0 0 1 0 0 0 1 1 0 +0 0 1 0 0 1 0 1 0 0 0 1 0 +0 1 0 0 0 1 1 1 1 0 0 0 1 +0 1 1 1 0 1 0 0 0 1 1 0 1 +1 0 1 1 0 1 1 0 1 1 0 0 1 +1 1 1 0 0 0 1 1 1 0 0 1 0 +0 0 1 0 1 0 1 0 1 0 1 0 0 +0 1 0 0 0 0 0 1 1 1 1 0 1 +0 1 0 0 1 1 1 1 0 1 0 1 1 +0 1 1 0 0 0 0 1 0 0 1 0 1 +1 1 0 1 0 1 0 0 0 0 0 0 0 +0 0 1 0 1 0 0 0 1 0 0 0 0 +0 0 0 1 0 0 1 1 0 0 1 1 0 +1 1 1 1 0 0 0 1 1 1 0 0 0 +1 1 0 0 0 1 1 0 1 1 1 0 0 +0 1 0 0 1 1 1 0 1 1 1 0 1 +0 1 0 0 0 0 1 1 1 1 1 1 1 +1 0 0 1 1 0 0 0 0 1 0 0 1 +1 0 0 1 1 1 1 0 1 0 1 0 1 +0 0 0 1 0 1 1 0 1 1 0 0 0 +0 0 0 1 0 1 1 1 0 0 0 0 0 +0 1 0 1 0 1 0 1 0 0 1 0 1 +0 0 0 1 0 1 1 0 1 0 1 1 0 +1 0 0 1 1 1 0 1 0 0 0 1 1 +0 1 0 1 0 0 0 0 1 1 1 1 1 +1 1 0 0 1 0 1 1 0 0 0 0 0 +1 1 1 0 1 1 0 1 0 0 1 0 0 +1 1 1 0 1 0 0 0 1 1 0 0 0 +1 0 1 0 0 0 1 0 0 1 1 1 1 +1 1 0 0 0 0 0 0 0 0 1 1 0 +1 1 1 1 1 1 0 1 0 0 0 0 0 +1 0 0 1 0 1 1 0 0 0 0 1 1 +1 0 1 1 1 1 0 0 1 1 1 0 1 +1 0 1 1 0 1 1 1 1 0 1 0 1 +1 1 0 1 1 0 1 1 1 1 1 1 0 +1 0 1 0 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 1 1 0 0 1 1 0 0 +1 1 0 1 0 1 1 1 1 0 1 0 0 +0 0 1 1 0 1 1 0 0 0 1 1 0 +1 1 1 1 0 1 0 1 0 1 1 1 0 +1 0 0 0 0 1 0 1 1 1 0 1 1 +0 0 0 1 0 0 1 1 1 1 1 0 0 +1 1 0 1 0 1 0 0 0 0 1 0 0 +1 0 1 1 1 1 1 1 0 0 0 0 1 +1 1 1 0 1 0 0 1 0 1 0 1 0 +1 1 0 1 1 0 1 1 1 0 1 0 0 +0 0 0 0 1 1 1 1 0 0 1 1 0 +1 1 1 0 1 0 1 1 1 0 1 0 0 +0 1 0 0 1 1 0 1 1 0 1 1 1 +0 1 1 1 0 1 1 1 1 1 0 0 1 +0 1 1 1 1 0 0 0 1 0 1 0 1 +0 0 1 0 1 1 1 1 0 1 0 1 0 +0 0 1 1 1 1 0 1 1 0 0 0 0 +1 0 1 0 1 0 1 0 1 0 1 1 1 +0 1 1 1 1 0 1 1 1 0 0 0 1 +0 0 1 1 0 1 1 0 0 0 1 1 0 +1 1 1 1 1 1 0 0 0 0 1 1 0 +1 0 0 1 1 0 0 1 1 0 0 0 1 +1 0 1 1 0 0 1 1 1 1 1 1 1 +0 1 0 0 1 0 1 0 1 0 1 0 1 +1 1 1 1 0 0 0 0 1 0 1 1 0 +0 1 0 0 0 1 0 1 1 1 0 0 1 +1 1 1 0 0 0 1 1 0 1 1 1 0 +1 0 1 1 1 1 0 1 0 0 0 1 1 +1 0 1 1 0 0 1 1 0 1 0 0 1 +1 0 0 1 0 0 0 1 1 0 1 0 1 +0 1 1 0 0 0 0 1 0 1 1 1 1 +0 1 1 1 0 0 0 0 1 1 1 1 1 +1 1 1 0 0 0 0 0 1 1 0 1 0 +0 1 1 0 0 0 0 0 0 0 1 1 1 +0 1 1 0 0 1 1 1 0 1 0 0 1 +1 0 1 0 0 1 0 0 1 1 1 1 1 +1 1 1 0 1 0 0 0 1 0 0 0 0 +1 1 1 0 1 0 0 1 0 0 0 1 0 +0 0 1 0 0 1 1 0 1 0 0 1 0 +1 1 0 0 0 1 1 0 1 1 1 1 0 +1 0 0 0 0 0 0 1 0 0 1 1 1 +1 1 1 0 1 1 1 1 0 0 0 0 0 +1 0 1 0 1 1 0 1 0 0 1 0 1 +0 1 1 0 0 1 0 1 0 0 0 0 1 +1 0 0 1 0 1 1 1 1 1 0 1 1 +0 0 1 1 0 0 1 0 0 0 1 1 0 +1 0 1 1 0 1 0 1 0 1 1 0 1 +0 1 0 1 1 1 1 1 1 1 0 0 1 +1 1 1 0 0 0 1 0 1 1 1 0 0 +0 1 0 1 0 0 1 0 0 0 0 1 1 +1 0 1 1 1 0 0 0 0 1 0 0 1 +0 1 1 0 0 0 0 0 0 0 1 0 1 +0 0 1 0 1 1 1 0 0 1 0 1 0 +0 1 1 0 0 0 1 1 0 1 0 1 1 +1 1 0 0 0 0 0 0 1 0 1 1 0 +0 0 1 0 0 1 1 1 0 1 1 1 0 +0 1 1 0 0 1 1 1 1 1 0 0 1 +1 0 1 0 0 0 1 0 0 0 1 1 1 +1 0 0 0 1 0 1 1 1 1 1 1 1 +0 1 0 1 1 1 1 0 1 0 1 1 1 +1 0 1 0 1 0 1 0 1 0 1 1 1 +1 0 0 1 0 1 1 1 1 0 1 1 1 +0 1 0 1 1 1 0 0 0 0 1 1 1 +1 0 1 1 0 0 0 0 1 1 1 0 1 +1 0 0 0 1 0 0 0 0 0 1 0 1 +0 0 0 1 0 0 0 1 0 0 0 1 0 +1 0 1 1 0 1 0 0 0 0 0 1 1 +0 0 1 1 1 0 0 1 0 0 0 1 0 +0 1 0 0 1 0 1 0 0 1 0 0 1 +1 0 1 1 0 1 0 0 0 1 0 0 1 +1 0 1 0 0 0 1 0 1 1 0 1 1 +0 0 0 0 1 0 1 1 1 1 0 1 0 +0 0 0 1 0 1 0 0 0 0 0 0 0 +1 1 1 1 1 0 0 1 1 0 1 0 0 +0 0 0 1 1 0 1 1 1 0 1 0 0 +1 1 1 1 1 0 0 0 0 1 0 0 0 +1 1 0 1 0 1 1 0 0 1 0 0 0 +0 0 1 1 1 1 0 1 0 0 0 0 0 +0 1 0 1 1 0 1 1 1 1 0 0 1 +1 0 0 1 0 0 0 1 0 1 1 1 1 +0 1 0 0 1 0 1 1 1 0 0 1 1 +1 0 0 0 1 0 1 1 1 0 1 1 1 +1 0 0 0 0 1 0 0 0 0 1 0 1 +1 0 1 0 1 0 1 0 0 0 0 1 1 +1 1 0 0 1 1 1 0 0 1 0 0 0 +1 0 0 0 0 0 1 0 1 1 1 1 1 +0 1 1 0 0 1 1 0 1 1 1 1 1 +1 0 0 0 1 1 0 1 0 1 1 0 1 +0 0 1 1 1 1 1 1 0 1 0 1 0 +0 1 1 0 1 0 0 1 1 0 1 0 1 +1 0 0 1 0 0 1 0 0 1 1 1 1 +0 0 0 0 0 0 0 1 1 1 1 1 0 +0 1 1 1 0 1 1 1 1 1 1 1 1 +0 1 1 0 1 1 0 0 1 0 0 0 1 +1 1 0 0 1 0 0 0 1 0 1 0 0 +1 1 0 1 0 0 1 1 0 0 1 0 0 +1 0 0 0 0 1 1 0 1 1 0 0 1 +1 1 1 1 1 1 0 1 1 1 0 1 0 +1 1 0 1 0 0 1 1 0 1 1 1 0 +1 1 0 1 0 0 0 0 0 1 1 0 0 +0 1 0 1 1 0 0 0 1 0 0 1 1 +1 0 0 0 0 0 0 0 0 1 1 1 1 +0 1 0 0 1 0 1 1 0 0 0 0 1 +0 0 1 1 1 0 0 0 0 0 1 0 0 +1 0 1 0 1 0 1 0 0 1 0 0 1 +1 0 1 0 1 1 0 1 0 1 1 1 1 +0 1 1 1 1 0 1 1 0 0 0 0 1 +0 0 0 0 1 1 0 0 0 0 0 0 0 +1 0 0 1 1 1 1 0 0 1 0 1 1 +0 1 0 1 1 0 0 0 0 0 1 1 1 +0 1 0 1 0 1 1 0 0 1 1 1 1 +1 1 0 0 0 1 1 1 0 1 0 1 0 +0 1 0 0 0 0 0 1 0 0 0 1 1 +1 1 0 0 0 0 1 1 0 0 1 1 0 +1 1 0 0 0 1 0 1 0 0 1 0 0 +1 1 1 0 0 0 1 0 1 1 1 0 0 +0 0 1 0 0 1 0 1 1 1 1 0 0 +0 1 1 0 0 0 1 1 0 0 1 0 1 +1 1 1 1 1 1 0 0 1 1 0 0 0 +0 0 0 1 0 0 0 0 1 0 0 0 0 +1 1 1 1 0 1 1 1 0 1 1 0 0 +0 1 1 0 1 1 0 1 0 0 0 0 1 +1 0 1 1 0 0 1 0 1 0 0 1 1 +1 1 1 1 1 0 0 1 0 1 1 1 0 +0 0 1 0 0 0 0 1 0 0 0 1 0 +0 1 0 0 1 1 0 0 0 0 1 1 1 +0 1 1 0 0 0 0 0 0 0 1 0 1 +0 0 1 1 0 1 1 0 0 0 0 1 0 +1 0 1 1 0 0 1 1 1 1 0 1 1 +1 0 0 1 0 1 0 1 1 1 1 0 1 +0 0 1 0 0 0 0 0 0 1 0 1 0 +0 0 0 0 0 0 1 0 1 0 1 1 0 +0 0 0 1 0 1 0 1 1 0 0 0 0 +0 0 0 0 1 0 0 0 0 1 0 1 0 +0 1 0 1 0 0 1 0 1 1 1 0 1 +0 1 0 0 0 0 0 0 1 1 0 1 1 +0 1 0 1 1 0 0 0 0 1 1 0 1 +0 1 0 1 1 0 0 0 0 1 0 0 1 +1 1 1 0 0 1 0 1 0 1 1 0 0 +0 0 0 0 0 0 1 1 0 1 1 0 0 +0 1 0 1 1 0 1 0 1 0 1 1 1 +0 0 1 0 0 1 1 0 1 0 0 1 0 +0 1 1 1 0 1 0 0 1 1 0 0 1 +1 0 0 0 0 0 0 1 1 1 1 1 1 +0 0 0 1 0 0 0 1 0 1 0 0 0 +0 1 1 1 0 1 1 0 1 1 0 1 1 +0 1 1 1 1 1 1 0 0 0 1 1 1 +1 0 0 0 1 1 1 1 1 1 1 1 1 +1 0 1 0 1 1 1 0 0 1 1 1 1 +0 1 0 1 1 1 0 0 1 1 1 1 1 +0 1 1 1 1 1 0 1 0 0 1 1 1 +1 1 0 0 1 0 1 1 0 1 1 1 0 +1 1 1 1 1 0 0 1 1 0 0 1 0 +0 0 1 1 0 0 1 0 1 1 0 0 0 +0 1 1 1 0 1 1 1 0 1 0 0 1 +0 1 0 1 0 0 0 0 1 0 0 1 1 +0 0 1 0 0 0 0 0 0 0 1 1 0 +0 1 0 1 1 1 1 0 0 0 1 0 1 +1 0 1 0 1 1 0 0 1 0 0 1 1 +0 1 0 0 1 0 1 0 1 0 0 0 1 +0 1 0 0 1 0 1 0 1 0 1 1 1 +0 0 1 1 0 0 0 0 1 1 0 0 0 +0 0 0 1 1 0 1 1 1 1 1 1 0 +0 1 0 1 0 0 0 1 1 1 1 0 1 +1 1 0 0 1 1 1 0 0 1 1 1 0 +1 1 1 0 1 1 0 1 1 1 1 1 0 +1 0 1 1 0 1 1 1 0 0 1 0 1 +0 0 0 1 1 0 0 1 0 0 1 1 0 +1 1 1 0 0 1 0 1 0 0 1 0 0 +0 1 1 1 1 0 0 1 0 1 0 1 1 +1 0 0 0 0 1 1 0 1 1 1 1 1 +0 0 0 0 1 0 0 0 1 1 1 1 0 +1 1 0 1 0 0 0 0 0 0 0 0 0 +0 0 0 0 0 1 0 1 0 1 1 1 0 +0 0 0 0 0 0 1 1 0 0 0 1 0 +1 0 1 1 1 0 0 0 0 0 1 1 1 +0 1 1 1 0 0 0 1 1 0 1 0 1 +0 1 1 1 1 1 0 0 1 0 0 0 1 +1 1 0 0 0 1 1 1 0 1 0 1 0 +0 1 0 0 0 0 0 0 0 1 0 1 1 +0 0 1 0 0 1 1 0 0 0 0 0 0 +0 1 1 0 1 0 1 0 0 1 1 0 1 +1 0 0 0 1 1 1 1 0 0 1 1 1 +0 1 1 1 1 0 0 0 0 1 0 1 1 +1 1 0 0 0 0 0 0 0 1 1 1 0 +0 1 1 0 0 0 1 1 0 0 1 1 1 +0 0 0 1 0 0 1 1 1 1 1 1 0 +0 1 1 1 0 0 0 1 1 1 0 1 1 +1 0 0 1 0 1 1 1 1 1 1 0 1 +1 0 0 0 1 0 0 1 0 1 1 1 1 +1 0 1 0 1 0 1 0 0 1 1 1 1 +0 1 0 1 0 1 0 1 0 0 1 0 1 +0 0 0 0 1 0 1 0 1 0 0 0 0 +1 0 0 1 0 0 0 0 1 0 0 1 1 +1 1 1 1 1 1 1 1 0 0 0 1 0 +1 1 0 1 0 1 0 1 1 0 0 1 0 +0 0 0 0 0 1 1 1 1 0 1 0 0 +1 0 0 1 0 0 1 0 1 0 0 1 1 +1 0 0 0 1 1 0 0 0 1 0 1 1 +0 1 0 0 1 1 0 1 1 0 0 1 1 +1 0 1 1 0 1 1 1 0 1 0 1 1 +1 1 0 1 0 0 0 1 0 0 1 0 0 +0 1 0 0 1 0 0 1 0 1 0 0 1 +0 0 1 0 0 1 1 1 0 1 1 0 0 +1 0 0 0 0 1 0 1 0 1 0 0 1 +0 1 1 0 1 0 1 0 1 1 1 0 1 +0 0 1 0 0 1 1 1 0 1 1 1 0 +0 1 0 0 1 0 0 0 0 0 1 0 1 +0 1 0 0 1 0 0 0 1 1 0 1 1 +1 0 0 1 0 1 1 1 0 1 1 1 1 +1 0 1 1 1 0 0 1 1 1 1 1 1 +0 1 1 0 1 1 1 1 0 0 1 0 1 +0 0 1 0 1 0 1 0 0 0 1 1 0 +0 1 1 0 0 0 0 1 1 0 0 0 1 +0 1 1 1 0 0 0 0 0 1 1 1 1 +0 0 1 0 0 0 0 1 1 0 0 0 0 +1 1 1 1 1 0 0 1 0 1 0 1 0 +0 1 0 0 0 1 1 1 1 0 1 1 1 +0 0 0 1 0 0 0 1 1 0 0 0 0 +1 1 1 0 1 0 1 0 0 1 0 1 0 +1 1 1 1 0 1 0 1 0 1 1 1 0 +1 0 1 0 0 0 1 1 1 1 0 0 1 +0 0 0 0 1 1 0 1 1 0 1 1 0 +0 0 1 0 0 0 1 1 1 0 0 0 0 +1 0 0 1 1 0 0 0 0 1 0 1 1 +0 1 0 0 0 0 1 1 0 0 0 0 1 +0 1 0 0 0 0 0 0 1 1 1 0 1 +1 0 0 0 0 0 1 1 0 0 0 0 1 +1 0 1 1 1 1 0 0 1 0 1 0 1 +1 1 0 0 0 1 0 0 0 0 0 1 0 +1 0 1 1 1 1 1 0 1 1 1 0 1 +0 1 0 1 0 1 0 0 1 0 1 1 1 +1 1 1 0 1 1 0 1 1 1 0 1 0 +1 1 0 0 0 1 1 0 0 1 0 0 0 +0 1 1 0 0 1 1 1 1 1 1 1 1 +1 0 0 1 1 0 0 0 1 1 1 1 1 +1 1 0 0 1 0 0 0 0 1 0 0 0 +1 1 1 1 0 0 1 1 0 1 0 1 0 +0 1 1 0 0 0 1 1 1 1 1 1 1 +1 1 0 0 1 0 0 0 0 1 0 0 0 +0 0 1 0 1 0 1 0 0 0 1 1 0 +1 0 1 1 0 1 0 1 0 1 0 1 1 +1 0 0 1 1 1 1 0 1 0 0 1 1 +0 1 1 1 0 0 0 0 1 0 0 1 1 +0 1 0 1 1 1 1 1 0 1 1 1 1 +1 1 1 1 0 0 1 1 0 0 0 0 0 +1 1 1 0 0 1 0 1 0 0 1 0 0 +0 0 0 0 1 1 0 1 1 1 0 0 0 +1 1 1 0 1 0 0 1 1 0 0 1 0 +1 1 1 0 0 0 0 1 1 0 0 0 0 +1 1 0 0 0 1 1 1 0 1 1 1 0 +1 0 1 1 1 1 0 1 1 1 0 0 1 +0 0 0 0 1 1 1 0 1 0 0 0 0 +1 0 0 0 1 1 0 0 1 0 1 1 1 +0 1 1 1 1 1 1 0 1 1 1 1 1 +1 1 1 1 1 1 0 0 0 0 0 0 0 +1 1 0 1 1 0 1 1 1 0 1 1 0 +1 0 1 0 1 0 0 0 0 0 0 0 1 +1 0 1 1 0 0 0 0 0 1 1 1 1 +1 1 0 1 0 1 1 1 1 0 1 0 0 +0 0 0 1 0 0 1 1 1 0 0 0 0 +1 0 1 0 1 0 0 0 1 0 0 0 1 +1 0 1 1 1 1 1 1 1 0 0 1 1 +1 1 0 0 0 1 0 0 0 1 1 0 0 +0 0 0 1 0 0 0 0 0 0 1 1 0 +1 0 1 0 0 0 1 0 0 0 1 0 1 +0 1 0 1 1 0 1 0 0 0 1 0 1 +1 1 0 1 0 1 1 1 0 1 1 1 0 +0 1 1 0 1 1 0 0 1 1 1 0 1 +0 0 1 0 0 0 1 1 0 1 1 0 0 +0 1 0 1 1 0 0 0 0 1 0 0 1 +0 1 1 1 1 0 1 0 0 0 1 1 1 +1 0 0 1 1 1 1 0 1 1 0 0 1 +0 1 0 1 0 0 1 0 1 0 0 0 1 +1 0 0 0 1 1 0 0 1 0 1 0 1 +1 0 1 0 1 0 0 0 0 1 1 1 1 +1 0 1 0 0 1 1 0 0 0 0 1 1 +1 1 1 1 1 0 0 1 1 1 0 0 0 +0 0 1 0 0 1 0 0 0 1 1 0 0 +1 1 0 1 1 0 0 0 0 1 1 0 0 +1 0 0 0 1 0 1 1 1 0 1 1 1 +1 1 1 0 1 0 1 1 0 1 1 1 0 +0 0 1 0 0 0 0 1 1 0 1 1 0 +0 1 0 1 1 0 0 0 0 1 1 1 1 +0 0 1 1 1 0 0 0 1 1 0 1 0 +0 0 1 1 0 0 0 1 1 1 1 1 0 +1 1 1 1 0 0 1 0 1 1 0 1 0 +1 1 0 1 0 1 0 1 0 0 0 0 0 +0 1 1 0 1 0 1 0 1 0 1 1 1 +1 1 1 0 1 1 0 1 0 1 0 1 0 +1 1 0 0 1 0 0 1 0 0 0 1 0 +0 0 1 0 0 1 0 1 0 0 0 1 0 +0 1 0 0 0 1 1 0 0 0 0 1 1 +0 1 0 0 0 0 1 0 1 1 0 0 1 +0 0 0 1 1 0 1 0 0 0 0 1 0 +0 0 1 0 1 0 1 0 1 1 0 0 0 +1 0 1 1 0 1 0 1 1 1 1 0 1 +0 1 1 0 0 1 0 1 1 1 1 1 1 +1 1 1 0 1 0 0 1 0 1 1 0 0 +1 1 0 0 0 1 1 0 1 0 1 1 0 +0 1 1 0 0 0 1 1 0 0 1 1 1 +0 0 0 1 1 0 1 1 0 0 0 0 0 +0 0 0 0 0 0 1 0 1 0 1 0 0 +0 0 1 1 0 1 1 1 1 1 1 0 0 +1 1 1 0 0 0 1 0 1 0 1 0 0 +0 0 0 0 1 0 0 1 1 1 1 0 0 +0 1 1 0 0 0 1 1 1 1 1 1 1 +0 1 1 0 1 0 1 0 1 0 0 1 1 +1 0 0 0 1 1 1 0 1 0 1 1 1 +0 0 1 0 0 0 1 1 1 1 0 0 0 +0 1 0 1 0 1 1 1 1 0 1 1 1 +0 1 0 0 1 0 1 0 0 1 1 1 1 +0 0 0 1 1 0 0 0 1 0 1 0 0 +0 1 0 1 1 0 1 0 0 1 0 0 1 +1 1 1 0 1 1 1 1 0 0 1 1 0 +1 0 1 1 1 1 1 0 0 0 0 0 1 +0 0 1 0 0 1 0 1 0 1 1 1 0 +0 0 1 0 1 0 0 1 0 1 0 0 0 +0 1 1 0 0 0 0 1 0 1 1 0 1 +1 1 0 1 0 0 0 1 0 1 0 0 0 +0 1 1 0 1 1 0 1 0 1 1 0 1 +1 0 1 1 1 1 1 0 1 1 0 1 1 +1 1 1 1 1 0 1 1 0 1 1 1 0 +1 0 0 1 0 1 1 0 0 0 0 1 1 +0 1 1 0 1 1 1 1 0 0 0 1 1 +0 0 0 0 0 0 0 0 1 0 1 1 0 +0 0 0 1 0 0 0 0 0 0 0 1 0 +0 1 1 1 0 0 1 0 0 0 1 0 1 +0 1 1 0 1 1 1 1 0 0 1 0 1 +0 1 0 0 0 1 1 1 0 0 0 0 1 +1 1 0 0 1 1 0 0 0 0 1 0 0 +1 1 1 0 1 1 1 1 1 1 1 0 0 +0 0 1 1 1 0 1 1 0 0 1 0 0 +0 0 0 1 0 0 0 1 1 1 0 1 0 +0 1 1 0 0 1 1 1 1 1 1 0 1 +1 1 0 1 1 0 0 0 0 1 0 1 0 +0 0 0 0 0 0 0 0 1 1 0 1 0 +1 0 0 1 0 0 0 0 1 1 0 0 1 +1 0 1 1 1 1 0 0 0 0 0 0 1 +0 1 1 0 1 0 0 0 0 1 1 0 1 +0 0 0 1 0 1 0 0 1 0 0 1 0 +0 0 0 1 1 1 0 0 1 1 0 0 0 +1 1 0 0 0 1 1 0 0 1 0 0 0 +1 0 1 1 1 0 0 0 0 1 1 0 1 +0 1 1 1 0 0 0 1 0 1 0 1 1 +0 0 1 1 1 0 0 0 0 0 1 0 0 +1 0 0 1 1 0 0 0 1 0 0 1 1 +0 1 1 1 0 0 0 1 0 1 1 1 1 +0 1 1 1 1 0 0 0 1 0 0 1 1 +1 1 0 0 1 1 1 0 1 1 1 1 0 +0 0 1 0 0 1 0 1 0 1 0 0 0 +0 0 0 0 0 0 1 1 1 0 1 0 0 +0 1 1 0 0 1 0 1 0 0 0 1 1 +0 0 1 1 0 0 1 1 1 0 0 0 0 +1 0 0 0 1 1 0 1 0 0 1 0 1 +1 0 0 1 1 0 0 0 0 0 0 0 1 +1 0 0 0 0 1 0 0 1 1 0 1 1 +1 0 1 1 1 1 1 0 1 0 1 1 1 +0 0 1 0 1 1 1 1 1 0 0 1 0 +1 1 1 1 0 0 0 0 1 1 0 0 0 +1 1 0 1 0 0 0 1 1 0 0 0 0 +0 1 0 0 0 1 1 1 0 0 1 1 1 +0 1 1 1 0 0 0 0 0 1 0 1 1 +0 1 0 1 0 1 1 1 1 0 1 0 1 +1 1 0 1 0 0 1 0 1 0 1 1 0 +1 0 0 1 1 0 1 0 0 1 1 0 1 +0 1 0 0 0 1 0 0 0 1 0 1 1 +1 1 1 0 1 0 1 0 0 1 0 0 0 +0 0 0 0 0 0 0 0 0 0 1 1 0 +1 1 0 0 1 0 1 0 0 0 1 0 0 +1 1 1 1 1 0 1 1 1 0 0 1 0 +0 0 1 1 1 0 1 1 0 1 0 1 0 +1 1 1 1 0 0 0 0 1 0 1 1 0 +0 0 1 1 1 1 1 0 0 1 0 0 0 +1 1 1 1 0 0 0 0 0 1 1 1 0 +0 0 1 0 1 0 1 1 0 0 0 0 0 +1 1 1 1 0 0 1 1 1 0 0 1 0 +0 0 1 1 1 1 0 0 1 0 1 0 0 +1 1 1 0 1 0 1 1 0 1 0 1 0 +1 0 1 0 1 1 1 1 1 0 1 1 1 +0 0 0 1 0 1 1 0 1 1 0 1 0 +0 0 1 0 1 1 1 1 0 1 1 1 0 +0 1 1 1 0 0 1 0 1 0 0 1 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 +0 1 1 0 1 0 1 0 0 0 1 0 1 +0 0 0 0 0 0 1 0 0 1 0 1 0 +1 1 0 0 0 1 1 1 1 1 0 1 0 +0 1 0 0 1 0 1 1 1 1 0 0 1 +0 1 1 0 0 0 1 1 0 0 1 0 1 +1 1 0 1 1 0 0 0 1 1 1 1 0 +1 1 1 0 0 0 0 1 1 1 0 0 0 +0 1 1 0 0 0 0 1 1 0 0 1 1 +0 1 0 1 1 0 1 0 0 0 1 0 1 +1 1 1 1 0 1 1 0 0 1 1 0 0 +1 0 0 1 1 1 1 0 0 0 0 1 1 +1 1 0 1 1 1 1 1 0 1 1 1 0 +0 1 1 0 0 0 0 1 0 0 0 1 1 +1 0 0 1 0 1 1 0 0 1 0 1 1 +1 0 1 1 0 1 1 0 1 1 0 0 1 +1 1 1 0 0 0 1 1 1 1 1 1 0 +1 1 1 0 1 1 0 1 1 0 0 1 0 +1 1 1 1 1 1 0 1 0 1 0 1 0 +1 1 0 0 0 1 1 0 1 0 1 1 0 +0 1 1 0 1 1 1 0 0 0 0 0 1 +1 0 0 0 0 0 0 0 0 1 1 0 1 +1 1 0 1 1 1 1 1 0 0 0 0 0 +0 1 1 0 1 1 1 1 1 0 0 1 1 +1 1 0 0 1 0 0 0 0 0 0 1 0 +1 0 1 1 0 0 0 0 0 0 0 0 1 +1 0 1 1 0 1 1 0 0 0 0 1 1 +0 1 1 1 1 0 0 1 1 1 0 1 1 +1 0 1 0 0 1 0 0 1 0 0 0 1 +1 1 1 0 0 1 0 1 0 1 0 0 0 +1 0 1 0 1 1 0 1 0 1 0 0 1 +1 1 1 0 1 1 1 1 1 0 1 1 0 +0 1 1 0 0 0 0 1 1 1 1 0 1 +1 0 0 0 1 1 1 1 1 1 0 1 1 +0 0 0 1 0 1 0 0 0 0 1 1 0 +1 0 0 0 0 1 1 0 1 0 0 0 1 +1 0 1 1 0 1 1 0 0 0 0 1 1 +0 1 1 0 0 1 0 0 0 1 0 1 1 +0 1 1 1 1 0 1 1 0 1 1 1 1 +0 1 1 0 0 1 1 0 0 1 1 1 1 +1 1 0 0 1 1 1 1 0 1 1 1 0 +0 0 1 0 1 0 1 0 1 0 1 1 0 +0 1 0 0 0 0 0 0 0 1 0 1 1 +1 0 1 1 0 0 0 0 0 0 0 0 1 +0 0 0 0 0 0 1 1 1 1 0 1 0 +0 1 0 1 0 1 0 0 1 1 1 1 1 +0 1 0 1 1 1 1 0 1 0 0 1 1 +0 1 0 0 0 1 0 1 0 0 1 1 1 +1 0 0 1 0 0 0 0 0 0 1 0 1 +1 0 0 0 1 0 0 1 1 1 1 1 1 +1 0 1 0 0 0 1 0 0 1 0 0 1 +1 1 1 1 1 0 1 1 0 1 1 0 0 +0 0 0 1 1 1 1 0 1 1 0 0 0 +0 0 0 0 0 0 0 1 1 0 1 0 0 +1 1 0 1 1 0 1 0 1 0 1 1 0 +0 0 0 0 0 1 0 0 0 1 0 1 0 +1 0 1 1 1 1 0 1 1 0 1 1 1 +1 1 0 1 1 0 1 1 0 0 1 0 0 +0 0 1 1 0 1 0 0 0 1 0 0 0 +0 1 1 1 1 1 1 1 0 1 0 0 1 +0 1 0 0 1 1 0 1 1 1 0 0 1 +1 0 0 0 0 0 0 0 1 1 1 1 1 +0 0 1 1 1 0 1 0 1 1 1 1 0 +1 1 0 1 0 1 1 0 1 1 0 1 0 +1 0 1 0 0 1 1 0 0 0 0 0 1 +0 1 1 1 0 1 1 1 1 1 1 1 1 +1 1 1 1 0 0 1 1 1 0 0 1 0 +0 1 0 0 0 1 0 0 0 0 1 1 1 +1 0 1 1 1 0 0 0 0 1 1 0 1 +1 1 0 1 1 0 1 1 0 0 0 1 0 +0 0 0 1 1 1 1 0 0 1 1 0 0 +0 0 1 1 0 0 0 1 1 0 1 1 0 +0 1 0 1 0 1 1 1 0 1 0 1 1 +0 0 1 1 0 1 1 0 1 0 1 1 0 +0 0 0 1 1 1 1 1 1 1 1 0 0 +0 1 0 1 0 1 0 1 0 1 1 0 1 +0 0 1 0 1 1 1 1 0 0 0 1 0 +1 1 0 0 1 1 1 0 1 0 1 1 0 +1 0 0 0 1 0 0 0 0 0 0 1 1 +1 1 1 1 1 1 0 0 1 1 1 1 0 +1 1 1 1 0 1 0 0 0 0 1 1 0 +1 0 1 0 1 0 0 0 0 1 1 1 1 +0 1 0 1 0 1 0 1 1 0 1 0 1 +1 1 0 0 0 0 0 0 0 0 1 1 0 +0 1 1 1 1 1 0 1 0 0 0 0 1 +1 0 0 0 1 0 1 1 0 1 1 1 1 +1 1 1 0 0 0 0 0 1 1 1 0 0 +0 0 0 1 1 1 1 0 0 0 0 1 0 +1 1 1 0 0 1 0 0 0 1 1 1 0 +1 0 1 1 1 0 0 1 1 1 0 1 1 +0 1 1 0 0 1 1 0 1 0 1 1 1 +1 0 1 1 0 0 1 1 1 1 1 0 1 +1 1 1 1 1 1 0 0 1 0 0 0 0 +1 0 1 0 0 1 0 1 1 1 0 0 1 +0 1 0 0 0 1 0 1 0 0 0 0 1 +0 0 1 0 1 0 0 0 1 1 1 0 0 +0 0 1 1 1 1 1 0 0 1 0 0 0 +0 1 0 1 0 0 1 0 1 1 1 0 1 +0 0 0 0 0 1 1 1 0 0 1 0 0 +1 1 0 1 0 0 1 0 0 0 1 0 0 +1 1 1 0 0 1 1 0 0 0 1 1 0 +1 0 1 0 1 1 1 0 0 1 1 0 1 +1 1 1 1 0 1 1 0 1 1 1 1 0 +0 1 1 1 0 1 1 1 1 0 0 1 1 +0 1 1 1 0 1 1 0 1 0 0 1 1 +1 0 1 0 0 0 1 1 1 0 0 1 1 +0 0 0 1 0 1 0 0 0 1 0 0 0 +0 1 0 1 1 1 1 0 1 0 0 0 1 +0 1 1 1 0 0 0 1 1 1 1 1 1 +0 1 0 0 1 0 1 0 0 1 1 1 1 +0 1 1 0 0 1 0 1 0 1 0 0 1 +0 0 1 1 0 1 1 1 1 0 0 0 0 +1 0 0 0 0 1 1 1 1 0 1 1 1 +1 0 1 0 0 1 1 0 1 0 0 0 1 +1 1 0 0 1 1 1 1 1 1 0 1 0 +1 1 0 0 0 0 0 1 1 0 0 1 0 +0 0 1 1 1 0 1 0 0 1 1 1 0 +0 0 0 1 0 0 1 1 1 1 0 1 0 +0 0 0 0 1 0 1 0 1 1 0 1 0 +1 1 1 1 0 0 1 1 0 0 1 0 0 +0 0 0 1 0 0 0 1 1 1 1 0 0 +0 0 0 1 1 0 0 0 0 1 0 0 0 +0 0 1 1 0 0 1 1 0 1 1 1 0 +1 0 0 0 1 1 1 1 0 1 0 1 1 +0 0 1 1 0 0 0 0 1 0 0 1 0 +1 0 0 0 0 1 0 0 1 1 1 1 1 +0 0 0 0 1 1 0 1 1 0 1 0 0 +0 0 1 1 1 1 1 1 1 0 1 0 0 +1 1 1 1 0 0 0 0 1 1 1 0 0 +0 1 0 0 0 1 0 0 1 0 0 0 1 +1 1 1 1 1 0 0 1 1 0 1 1 0 +1 0 1 1 0 0 0 0 1 1 0 0 1 +0 0 0 1 1 1 0 0 0 0 0 0 0 +1 0 0 1 0 1 0 1 0 0 0 1 1 +1 0 0 0 0 0 0 0 0 1 0 0 1 +0 1 0 1 0 1 0 0 0 0 1 0 1 +1 0 1 1 0 0 1 0 0 1 0 0 1 +1 1 0 0 1 0 0 0 1 1 0 0 0 +0 1 0 1 1 0 1 0 1 0 1 0 1 +0 0 1 0 0 0 1 0 0 0 1 0 0 +0 0 0 0 1 1 1 0 0 0 0 0 0 +0 1 1 0 0 0 1 0 0 1 1 1 1 +0 1 1 0 1 1 0 1 0 0 0 0 1 +0 1 1 0 1 1 0 0 0 0 0 1 1 +1 1 0 1 0 0 0 1 1 1 1 1 0 +1 0 1 0 1 1 1 1 0 1 1 0 1 +1 1 0 1 0 1 0 1 1 0 1 0 0 +1 0 1 0 0 0 1 0 1 0 1 1 1 +1 0 0 1 0 1 0 0 0 1 0 1 1 +1 0 1 1 1 0 1 0 0 1 1 1 1 +1 1 0 0 1 1 1 0 1 1 0 1 0 +1 0 1 1 0 1 1 0 0 1 0 0 1 +0 0 1 1 0 0 1 0 0 1 1 1 0 +0 1 0 1 1 1 1 0 1 1 0 0 1 +1 0 0 0 1 0 1 1 1 0 1 1 1 +1 1 1 1 1 0 0 1 0 0 1 1 0 +1 1 0 1 1 0 1 0 1 1 1 1 0 +1 1 1 1 0 0 1 1 1 0 1 1 0 +1 1 1 0 1 1 0 1 1 0 0 0 0 +1 0 1 1 1 1 1 0 0 0 1 0 1 +0 0 0 1 0 1 1 1 0 0 1 1 0 +1 0 1 1 0 1 0 1 1 1 0 1 1 +1 0 1 1 1 1 0 1 0 1 1 1 1 +1 0 0 1 1 1 0 0 0 1 0 0 1 +1 1 0 1 0 0 1 1 1 1 0 1 0 +1 0 1 0 0 0 1 0 1 1 0 0 1 +0 0 0 1 0 1 1 1 1 0 1 0 0 +0 1 0 1 0 1 1 1 1 0 0 1 1 +0 1 1 1 0 0 1 1 1 0 1 1 1 +0 1 0 0 1 0 1 0 0 1 0 1 1 +1 0 1 1 0 0 0 1 1 1 0 0 1 +0 1 1 0 1 0 1 0 0 0 1 1 1 +0 0 0 0 1 1 0 0 0 0 0 0 0 +0 0 1 0 0 0 1 1 1 0 1 1 0 +0 0 1 0 0 1 1 1 0 0 1 1 0 +1 0 1 0 1 0 1 0 0 1 0 0 1 +1 0 1 1 0 0 0 1 1 0 0 0 1 +1 0 1 0 1 1 0 1 1 1 1 0 1 +1 1 0 0 0 0 0 0 0 0 0 0 0 +0 0 0 1 1 1 1 0 1 1 0 1 0 +0 1 0 1 0 1 0 1 0 1 0 1 1 +0 0 1 1 0 0 0 0 0 0 0 0 0 +0 1 1 1 0 1 0 1 0 0 0 1 1 +1 0 0 1 0 1 1 0 1 0 0 0 1 +1 1 0 0 0 1 1 1 1 1 0 0 0 +0 1 0 1 1 1 0 1 0 1 0 0 1 +1 1 1 0 1 1 1 0 1 0 0 0 0 +0 1 1 0 1 0 0 1 0 1 0 1 1 +0 0 0 1 1 1 1 1 0 0 1 0 0 +0 1 1 1 0 0 1 1 1 1 1 0 1 +0 1 0 1 1 0 1 1 1 0 1 0 1 +1 0 1 1 1 1 0 0 1 0 1 0 1 +0 1 1 1 0 1 1 1 0 1 0 1 1 +1 0 0 1 0 0 1 1 0 0 0 0 1 +0 1 1 1 1 0 0 0 1 0 0 1 1 +1 1 0 0 0 0 1 0 0 1 1 0 0 +1 0 0 1 0 0 1 1 1 0 0 0 1 +1 0 0 1 0 1 1 0 0 0 1 1 1 +0 1 0 0 1 0 0 1 0 1 1 0 1 +0 0 0 1 0 0 1 1 1 1 0 1 0 +0 0 0 0 1 0 1 0 0 1 1 0 0 +1 0 0 0 0 1 0 1 0 1 0 1 1 +1 0 0 1 0 1 1 1 0 1 1 1 1 +1 0 1 1 0 1 0 0 0 0 1 1 1 +1 1 0 1 0 0 1 0 0 1 1 1 0 +0 1 1 1 1 0 1 1 0 0 1 0 1 +0 1 0 0 0 1 1 1 1 1 0 1 1 +0 1 0 1 0 1 1 0 1 0 0 0 1 +0 1 0 1 1 1 0 1 1 1 0 1 1 +0 1 1 1 0 0 1 0 0 0 1 0 1 +0 0 0 0 0 1 0 0 0 0 1 0 0 +0 0 1 1 0 0 1 1 0 1 0 1 0 +1 0 1 0 0 0 1 1 1 0 1 0 1 +0 0 1 1 1 0 0 0 1 0 1 0 0 +0 0 0 1 0 0 0 1 1 1 0 1 0 +1 1 0 0 0 1 1 1 1 1 0 0 0 +1 0 1 0 0 0 0 1 0 1 0 0 1 +0 0 1 1 0 1 0 0 0 1 1 1 0 +0 1 1 0 0 1 1 1 1 1 1 1 1 +1 0 1 0 1 0 0 1 0 0 0 1 1 +0 1 1 0 1 1 0 1 0 0 0 1 1 +1 0 1 0 0 1 0 1 1 1 0 1 1 +1 1 0 0 1 1 1 0 0 1 1 1 0 +1 1 1 0 1 1 1 0 1 1 0 1 0 +0 0 0 0 1 1 0 1 0 0 0 0 0 +0 1 0 0 1 1 1 0 1 1 1 1 1 +0 0 0 1 0 1 0 1 0 0 0 0 0 +1 0 1 0 0 1 0 1 1 0 1 0 1 +0 1 1 1 1 1 0 1 0 1 1 1 1 +0 1 1 1 1 0 1 1 1 0 0 1 1 +0 0 0 1 0 0 1 1 0 0 1 0 0 +1 1 1 1 1 0 1 1 0 0 1 0 0 +1 1 0 1 1 1 1 0 1 1 0 1 0 +1 1 0 1 0 0 1 0 0 0 0 0 0 +1 1 1 0 0 0 0 0 1 0 1 1 0 +1 0 0 0 1 0 1 0 0 0 1 1 1 +1 1 1 1 1 0 1 0 1 1 1 1 0 +1 0 0 0 0 1 0 0 1 1 1 1 1 +1 0 1 1 1 1 0 1 1 1 0 1 1 +1 1 1 0 1 1 1 0 0 1 1 1 0 +0 0 1 0 0 0 1 1 0 0 1 1 0 +1 1 1 1 1 1 1 0 0 0 1 1 0 +1 0 1 1 1 1 1 1 1 0 1 1 1 +1 1 1 1 0 0 0 0 1 1 0 1 0 +0 0 1 1 1 0 0 0 1 1 0 1 0 +1 1 0 1 1 1 0 1 0 1 0 1 0 +1 0 0 0 1 1 0 1 1 1 0 0 1 +0 0 1 0 0 0 0 1 0 0 1 1 0 +1 0 1 1 1 0 0 0 0 1 1 0 1 +1 0 1 1 0 1 1 0 1 1 0 0 1 +1 0 0 1 0 0 1 1 1 1 1 0 1 +1 1 1 0 1 0 1 1 1 0 1 0 0 +0 0 1 0 0 0 1 1 0 1 0 0 0 +1 0 1 0 1 0 1 1 1 1 1 0 1 +1 0 1 0 0 0 1 0 1 0 0 0 1 +1 0 1 1 1 1 1 0 0 0 1 1 1 +1 1 0 0 0 1 0 0 0 1 1 1 0 +1 1 1 1 1 1 1 1 0 0 1 0 0 +0 0 1 0 0 0 0 0 0 1 1 0 0 +0 0 0 0 0 0 0 1 0 0 1 0 0 +1 0 0 0 1 0 1 0 0 0 0 1 1 +1 1 1 0 1 1 1 1 1 1 0 0 0 +1 0 0 0 1 1 1 1 1 0 1 0 1 +1 1 1 1 0 0 0 1 1 1 0 0 0 +0 1 1 0 0 0 1 0 1 1 0 0 1 +1 0 0 1 0 1 1 0 0 1 1 0 1 +0 0 1 1 1 0 0 0 0 1 1 0 0 +1 0 1 1 0 0 0 1 1 0 1 1 1 +0 0 0 1 1 0 0 1 0 0 1 0 0 +0 1 0 1 1 0 0 1 0 0 1 1 1 +1 0 1 1 1 1 1 1 0 1 1 1 1 +0 1 0 1 0 1 1 0 0 1 0 1 1 +0 0 1 1 0 0 0 1 1 1 0 0 0 +1 1 0 1 0 0 1 1 1 0 0 0 0 +0 0 1 0 0 0 1 0 1 0 0 0 0 +0 1 1 1 0 1 0 1 0 0 0 0 1 +1 1 0 0 0 0 1 1 0 1 0 1 0 +1 0 0 0 1 0 0 0 1 0 1 1 1 +0 1 0 0 0 0 0 1 0 1 1 0 1 +1 1 0 0 1 0 0 0 0 0 1 1 0 +1 1 0 1 1 0 1 0 0 1 1 0 0 +0 1 1 0 1 1 0 1 1 1 1 0 1 +1 0 1 1 0 0 0 1 0 0 0 0 1 +1 1 0 0 1 0 1 0 1 0 0 1 0 +1 1 1 1 0 1 0 1 1 0 1 1 0 +1 1 0 1 0 1 0 1 1 0 1 1 0 +1 1 0 0 1 0 1 0 1 1 1 1 0 +1 0 1 0 1 0 1 1 0 0 0 1 1 +1 1 1 0 1 0 0 1 0 0 0 1 0 +1 0 0 0 1 1 1 1 1 0 0 1 1 +1 1 0 1 0 1 1 0 0 1 0 1 0 +1 1 0 1 0 1 1 1 0 1 1 0 0 +0 0 1 0 1 1 0 1 0 1 1 1 0 +0 0 1 0 1 1 1 1 1 0 0 1 0 +1 1 1 0 1 0 1 1 0 1 0 1 0 +0 0 0 0 0 1 1 1 0 1 1 1 0 +1 1 1 0 1 0 1 0 0 0 0 0 0 +1 1 0 1 1 0 0 0 1 0 0 0 0 +1 0 1 0 1 1 1 0 0 0 1 0 1 +1 1 1 1 0 1 0 1 0 1 1 1 0 +0 0 1 0 0 1 1 0 0 1 0 0 0 +0 0 0 1 0 0 1 1 1 0 1 0 0 +1 0 1 1 1 1 1 1 1 0 1 0 1 +0 0 1 1 0 1 1 1 0 1 1 0 0 +1 1 0 0 1 1 1 0 0 1 1 0 0 +0 1 0 0 0 0 0 1 0 0 1 0 1 +0 1 1 1 1 1 1 0 1 1 0 1 1 +0 1 0 0 0 1 1 1 0 0 0 1 1 +0 1 1 0 0 1 0 1 0 0 1 1 1 +1 0 0 1 1 0 0 1 1 0 0 1 1 +0 0 0 0 0 0 1 1 1 1 1 1 0 +1 0 0 1 1 0 0 1 0 0 0 0 1 +1 0 0 0 0 0 0 0 1 0 0 0 1 +1 0 1 1 0 0 1 0 0 1 1 1 1 +1 0 1 1 0 1 1 0 1 0 1 1 1 +1 0 1 1 0 1 1 0 0 1 1 1 1 +0 0 0 1 0 0 0 0 1 0 1 1 0 +1 1 0 1 0 1 1 1 1 0 0 1 0 +1 0 0 1 0 1 0 1 1 0 1 1 1 +0 1 0 0 1 1 0 1 0 1 1 1 1 +1 1 0 1 0 0 0 1 1 0 0 0 0 +1 1 0 0 1 0 1 0 1 1 0 1 0 +0 1 0 0 0 0 0 1 0 1 1 1 1 +1 0 0 1 0 1 1 0 0 1 0 0 1 +1 0 1 1 1 1 0 1 1 0 0 0 1 +0 0 0 1 1 1 1 1 0 0 0 1 0 +0 1 1 1 1 0 1 1 0 1 0 1 1 +0 0 0 1 1 0 0 1 0 0 0 0 0 +1 0 1 0 1 1 1 1 1 1 0 0 1 +1 1 1 0 1 1 0 0 0 1 0 0 0 +0 1 1 1 1 1 0 0 1 0 0 0 1 +1 0 1 0 1 0 1 0 1 1 1 1 1 +0 0 1 0 1 0 0 0 1 0 1 1 0 +0 0 1 1 1 1 1 0 1 1 0 0 0 +1 0 1 0 1 1 1 0 0 1 1 0 1 +0 0 0 0 0 1 0 0 0 0 0 1 0 +0 0 1 0 1 1 0 1 0 0 1 1 0 +0 0 0 1 0 1 1 1 0 1 0 0 0 +1 1 0 0 0 1 1 1 0 1 1 1 0 +1 1 0 0 1 0 1 0 1 0 1 1 0 +0 0 1 1 0 0 0 0 0 1 1 1 0 +1 0 0 0 0 0 1 1 0 1 0 0 1 +0 0 0 0 0 0 0 0 0 1 0 1 0 +0 0 0 1 1 0 1 1 1 0 0 0 0 +0 1 0 0 0 0 0 0 1 0 0 1 1 +1 1 0 1 1 1 0 0 1 1 1 1 0 +0 0 1 0 1 1 1 0 0 1 1 0 0 +1 0 0 0 1 0 0 1 1 1 0 0 1 +0 1 1 0 0 1 0 0 1 1 0 0 1 +1 1 0 0 0 1 1 1 1 0 1 0 0 +1 1 0 1 1 0 0 0 1 1 0 1 0 +1 0 1 0 0 1 0 1 0 0 1 1 1 +0 0 1 0 1 1 0 1 1 0 0 0 0 +0 0 0 0 1 0 1 0 0 1 1 0 0 +1 0 0 1 1 1 1 0 1 0 0 1 1 +1 1 0 1 1 1 0 0 0 0 0 0 0 +1 0 0 0 0 1 0 0 1 1 1 1 1 +1 0 1 1 1 1 0 1 0 0 1 1 1 +0 0 1 1 0 1 0 0 1 0 1 0 0 +1 0 1 0 0 0 0 0 0 1 0 0 1 +0 1 0 0 1 1 1 1 0 0 0 1 1 +0 0 1 1 1 1 1 0 1 0 1 0 0 +1 0 1 1 1 1 1 1 1 0 0 1 1 +0 0 0 0 0 1 0 0 1 0 1 1 0 +1 1 0 0 0 0 0 1 1 1 0 0 0 +1 1 1 1 0 0 0 1 0 1 1 0 0 +1 0 1 0 1 1 1 1 1 1 0 1 1 +0 1 1 0 0 1 1 1 0 0 1 0 1 +0 1 1 0 1 0 0 1 1 1 1 0 1 +1 1 0 1 1 1 1 0 0 0 1 1 0 +1 0 1 0 1 1 1 0 1 1 1 0 1 +0 0 0 0 0 1 0 0 1 1 1 0 0 +0 0 0 0 0 1 0 1 0 0 0 0 0 +0 0 0 0 0 0 0 0 1 0 0 1 0 +0 0 1 1 1 1 1 0 1 1 0 0 0 +0 0 1 1 0 1 1 1 0 0 0 0 0 +0 0 1 0 1 1 1 0 1 0 1 1 0 +1 0 1 0 0 0 0 0 1 1 0 1 1 +0 1 1 1 0 0 0 1 0 0 0 1 1 +1 1 1 0 1 1 1 0 1 1 0 1 0 +1 0 0 1 0 0 0 0 1 1 1 0 1 +1 0 0 0 1 1 0 1 1 0 1 1 1 +0 0 1 1 0 0 0 0 0 1 1 0 0 +1 1 1 1 0 1 1 1 0 0 1 1 0 +0 0 0 0 0 1 1 0 1 0 1 0 0 +1 1 1 0 0 1 1 0 0 1 1 1 0 +0 0 1 0 1 0 0 0 0 1 0 1 0 +1 0 0 0 0 0 1 1 1 1 1 1 1 +1 1 1 0 1 1 0 0 0 0 1 1 0 +1 1 1 0 1 1 1 1 1 1 1 1 0 +1 0 0 1 1 1 0 0 0 0 1 1 1 +0 0 1 0 1 1 0 0 0 1 0 0 0 +0 0 1 1 1 0 1 0 0 0 1 1 0 +1 0 1 0 1 0 0 0 1 1 1 0 1 +1 0 0 0 0 1 1 0 0 0 1 1 1 +0 1 1 0 0 1 1 0 1 1 1 1 1 +0 0 0 1 1 0 0 1 1 1 1 0 0 +0 1 1 1 1 0 0 0 0 1 0 1 1 +1 0 1 0 0 0 1 1 1 1 1 1 1 +1 1 0 1 1 1 0 1 0 1 0 1 0 +1 0 0 0 0 0 0 0 1 0 1 1 1 +1 1 1 1 0 0 0 0 0 0 1 0 0 +1 0 0 1 0 1 0 1 0 1 1 1 1 +1 0 1 0 1 1 1 1 1 1 0 0 1 +0 0 1 1 0 1 0 1 0 1 1 0 0 +0 0 0 1 1 1 0 0 1 1 1 1 0 +1 0 1 1 1 0 1 1 1 1 0 0 1 +0 0 1 1 0 1 1 0 1 0 1 0 0 +0 1 0 0 0 1 0 1 0 0 0 0 1 +0 0 0 1 0 0 0 1 1 1 1 1 0 +1 1 0 1 1 0 0 0 0 0 1 1 0 +1 1 0 1 0 0 0 0 1 1 0 0 0 +1 0 0 0 0 0 1 1 1 0 0 0 1 +1 0 1 0 0 1 1 0 0 0 1 0 1 +0 0 0 0 1 0 0 1 1 1 1 1 0 +0 0 0 0 1 1 0 0 0 0 1 1 0 +1 0 1 0 1 1 1 1 0 0 0 0 1 +1 1 1 1 0 0 0 0 0 0 0 1 0 +0 1 0 0 1 1 1 0 1 1 0 0 1 +1 0 1 1 1 1 1 0 0 0 1 1 1 +0 1 0 1 0 1 1 1 1 1 0 0 1 +1 1 1 1 1 0 1 1 1 0 1 0 0 +1 0 1 1 0 1 1 0 0 0 1 1 1 +0 1 0 0 1 1 0 0 0 1 1 1 1 +1 1 1 0 0 1 1 0 0 1 0 0 0 +1 0 0 1 0 0 1 1 1 1 1 1 1 +0 0 0 0 1 1 1 1 0 1 1 0 0 +0 1 1 1 0 0 0 0 1 1 0 0 1 +1 1 0 1 1 1 0 0 0 0 0 1 0 +1 1 0 0 1 1 1 0 1 0 1 1 0 +0 1 0 1 1 1 1 1 0 1 0 0 1 +0 0 0 0 0 0 1 1 1 1 0 1 0 +1 1 0 1 1 0 0 0 1 1 1 1 0 +0 1 0 0 1 1 1 1 1 0 1 0 1 +0 0 1 0 1 1 1 0 0 1 0 1 0 +0 1 0 1 1 1 1 1 0 1 0 0 1 +0 1 0 0 1 0 1 1 0 0 1 1 1 +1 1 1 1 1 0 0 1 0 1 1 0 0 +0 1 0 1 1 0 0 0 0 0 0 0 1 +1 1 1 1 1 0 0 1 1 0 0 0 0 +0 1 0 1 1 0 0 0 0 1 1 1 1 +0 1 0 0 1 0 1 0 0 0 0 1 1 +1 0 1 1 0 1 1 0 0 1 0 1 1 +1 0 1 1 1 0 1 1 1 0 0 0 1 +1 1 1 1 1 1 1 0 0 0 1 0 0 +0 0 0 1 1 0 0 0 0 1 0 0 0 +1 0 0 1 1 1 1 0 1 1 0 0 1 +0 0 0 0 0 1 0 0 1 0 0 0 0 +0 1 0 1 0 0 0 1 1 1 1 1 1 +0 1 1 1 0 1 1 1 1 1 1 1 1 +1 1 0 0 1 0 0 1 0 1 1 0 0 +1 1 1 1 0 1 0 0 0 0 0 0 0 +1 0 1 0 1 0 0 1 0 1 1 0 1 +1 1 1 1 1 1 0 1 0 0 1 1 0 +0 0 1 1 0 1 0 1 0 0 0 0 0 +0 0 0 0 1 1 0 0 0 1 0 1 0 +0 0 0 1 1 1 0 0 1 0 1 1 0 +0 1 1 1 0 0 1 1 1 0 1 1 1 +0 1 0 1 0 0 1 1 1 0 1 0 1 +0 1 1 1 0 1 0 1 0 1 1 0 1 +0 1 0 0 0 0 0 1 0 1 1 1 1 +0 0 1 0 0 1 1 1 0 1 1 1 0 +0 0 0 1 0 1 1 1 1 0 0 1 0 +0 1 1 0 1 0 1 0 0 1 1 1 1 +0 0 0 0 0 0 0 1 1 0 1 0 0 +1 1 0 0 1 1 1 1 0 0 1 0 0 +0 0 0 1 0 1 0 1 0 1 1 1 0 +1 0 0 0 0 1 0 0 1 0 0 0 1 +0 1 0 1 1 1 0 0 0 1 1 0 1 +0 0 1 1 0 0 0 1 1 1 0 0 0 +1 0 1 1 1 0 0 0 0 0 1 0 1 +0 0 1 1 1 0 1 0 1 1 0 1 0 +0 0 1 1 1 0 1 1 1 0 0 0 0 +0 0 0 0 0 0 1 1 1 0 0 1 0 +1 0 1 1 0 0 1 0 1 0 0 0 1 +0 1 0 0 0 1 0 1 1 0 0 0 1 +0 1 1 0 0 1 1 0 1 1 0 0 1 +0 1 0 1 0 1 1 1 0 1 1 0 1 +1 0 0 1 1 0 0 0 1 0 1 1 1 +0 1 1 0 0 0 0 1 1 0 1 0 1 +1 0 0 1 0 1 1 1 0 0 1 0 1 +1 1 1 0 1 0 1 0 0 0 0 0 0 +0 1 1 1 0 1 0 0 0 1 1 0 1 +1 1 1 0 0 0 1 0 1 0 1 1 0 +1 0 0 0 0 0 0 0 0 1 1 0 1 +1 0 1 0 1 0 1 1 0 1 0 0 1 +1 1 0 1 0 1 0 1 1 1 0 0 0 +0 1 1 0 1 0 1 0 1 1 1 1 1 +1 0 0 0 0 1 0 1 1 0 0 1 1 +1 0 0 0 1 0 0 1 1 0 0 0 1 +0 0 0 1 0 0 1 0 0 0 0 0 0 +1 1 1 1 1 0 1 0 1 0 1 1 0 +0 1 0 1 1 0 0 1 1 1 1 0 1 +1 1 0 0 0 1 1 0 0 1 1 1 0 +1 1 1 1 0 0 0 1 1 1 0 1 0 +1 1 0 1 1 0 1 1 1 1 0 1 0 +0 0 1 1 1 1 1 0 0 0 0 0 0 +0 1 0 1 0 1 0 1 1 1 0 0 1 +1 0 0 0 1 0 0 0 0 1 1 1 1 +0 1 0 1 1 0 1 0 1 0 1 0 1 +0 1 0 1 1 1 0 0 0 1 0 1 1 +0 0 1 1 0 1 1 0 1 1 1 1 0 +1 1 1 1 0 0 1 1 0 1 0 1 0 +1 0 1 1 0 1 1 1 1 1 0 1 1 +1 0 0 0 0 0 0 0 0 0 0 0 1 +0 0 0 1 0 0 0 1 1 0 1 0 0 +1 1 0 1 1 1 1 0 0 1 0 0 0 +1 1 0 1 0 0 0 1 1 1 1 1 0 +0 0 1 0 0 1 1 1 0 0 1 1 0 +1 0 0 0 0 0 0 0 0 0 1 0 1 +0 0 1 1 1 0 1 1 0 1 1 0 0 +1 1 1 1 0 0 0 0 0 1 1 0 0 +1 1 1 1 1 1 0 1 1 1 1 1 0 +1 0 0 1 1 0 0 0 1 1 1 1 1 +0 1 0 0 0 1 0 0 0 0 0 1 1 +1 1 0 1 1 1 0 0 1 0 0 0 0 +1 0 1 0 1 1 0 0 1 1 1 1 1 +0 0 0 0 1 1 0 1 0 0 1 1 0 +1 0 1 1 0 1 0 1 1 0 1 0 1 +1 1 1 1 0 0 1 1 0 0 1 0 0 +0 1 1 1 0 1 0 0 1 0 0 0 1 +0 0 0 1 1 0 1 1 0 0 0 1 0 +1 0 0 0 0 1 1 0 0 0 1 1 1 +0 1 0 0 0 1 1 0 1 0 1 1 1 +0 0 0 0 1 0 0 1 1 1 0 0 0 +1 1 1 0 1 1 1 1 1 0 0 0 0 +1 0 1 0 1 0 1 1 1 1 0 1 1 +1 0 1 0 1 1 0 1 0 1 0 0 1 +0 0 0 0 0 0 1 0 1 0 0 1 0 +1 1 0 1 0 1 1 0 1 0 0 1 0 +1 0 0 0 1 1 1 0 0 0 0 0 1 +0 0 0 0 1 0 0 1 1 0 0 1 0 +1 1 0 0 0 1 1 0 0 0 1 0 0 +0 0 1 1 0 0 0 1 1 0 0 1 0 +1 1 1 0 0 1 0 0 0 1 1 0 0 +1 1 1 0 0 0 0 0 0 0 1 1 0 +1 0 1 1 1 1 0 1 0 1 1 1 1 +0 0 1 0 1 0 1 0 1 0 1 0 0 +1 0 1 1 1 1 1 1 0 1 0 1 1 +0 1 1 0 0 0 0 1 0 0 1 0 1 +1 1 0 0 1 0 0 1 1 1 1 0 0 +0 1 1 1 1 0 0 1 1 0 1 0 1 +0 0 0 1 1 1 0 0 1 1 1 1 0 +1 1 0 1 1 0 0 0 1 1 1 1 0 +0 1 0 0 1 0 0 0 0 0 0 0 1 +1 1 1 1 0 1 0 1 1 0 1 1 0 +0 1 1 1 0 0 0 1 0 1 1 1 1 +0 1 0 0 0 1 0 0 1 0 1 1 1 +1 0 1 0 0 0 0 1 0 0 0 0 1 +1 0 0 0 1 1 1 1 1 1 1 1 1 +0 1 1 0 1 0 0 0 1 0 1 0 1 +0 0 0 1 0 0 1 1 1 0 1 1 0 +1 1 1 1 1 0 1 1 0 0 0 0 0 +1 0 1 0 0 1 1 1 0 0 0 1 1 +0 0 0 0 0 1 0 0 1 1 0 1 0 +0 0 1 1 1 1 0 0 0 0 0 0 0 +1 1 0 1 0 1 0 0 1 1 1 0 0 +1 1 1 0 1 1 0 1 1 1 0 1 0 +1 0 0 0 1 1 0 1 0 0 0 0 1 +1 1 0 0 1 0 0 0 1 1 1 0 0 +1 0 0 0 0 0 1 0 1 0 1 1 1 +0 0 0 0 1 0 1 0 1 0 0 0 0 +1 0 0 0 1 1 0 0 1 0 0 0 1 +1 0 0 1 0 0 1 0 1 0 0 0 1 +0 1 0 1 0 0 0 0 0 1 1 0 1 +0 1 1 0 1 1 1 0 0 1 1 0 1 +1 0 0 0 1 0 1 1 0 0 0 1 1 +0 0 1 1 0 0 0 0 0 1 0 0 0 +0 1 1 0 1 0 0 0 1 1 0 0 1 +0 1 0 1 1 0 1 1 0 1 1 1 1 +1 1 1 1 0 1 0 1 0 1 1 1 0 +1 0 0 1 0 0 0 0 0 0 0 0 1 +1 1 1 0 1 0 0 1 0 0 1 1 0 +1 0 1 1 1 0 1 1 1 1 1 0 1 +0 1 1 1 1 0 0 0 1 1 0 1 1 +1 0 0 1 1 1 0 1 1 1 1 1 1 +1 1 1 1 0 0 0 1 1 1 1 0 0 +1 0 1 1 1 1 0 1 0 1 1 0 1 +1 1 0 0 1 1 1 0 0 1 0 0 0 +1 0 1 1 1 0 0 0 1 0 1 1 1 +1 0 1 0 0 0 1 0 0 0 0 1 1 +0 1 1 0 0 0 1 0 0 1 1 1 1 +1 1 1 0 0 0 0 1 0 0 1 1 0 +0 0 0 0 1 0 0 0 0 1 0 0 0 +1 0 0 1 1 0 1 0 0 1 0 0 1 +0 1 0 0 0 1 1 1 0 1 1 0 1 +1 1 1 1 1 0 1 1 0 1 0 0 0 +1 0 0 0 1 1 1 0 0 1 1 0 1 +0 1 0 0 1 0 1 0 0 1 0 1 1 +0 1 0 1 0 0 1 0 0 1 0 0 1 +0 1 0 0 0 0 1 0 1 0 1 1 1 +1 0 0 1 0 1 0 1 1 0 1 0 1 +0 1 0 1 1 1 1 0 1 0 0 0 1 +0 0 0 1 1 1 1 1 1 0 1 1 0 +1 1 0 0 0 0 0 1 1 0 1 1 0 +0 0 1 1 0 0 0 0 1 1 0 1 0 +1 1 0 1 1 1 0 1 0 0 1 0 0 +0 0 1 1 0 1 1 0 1 1 1 1 0 +1 0 0 0 1 0 0 1 1 1 1 0 1 +1 1 1 1 1 1 1 1 0 1 1 0 0 +0 0 1 1 1 1 0 1 1 0 0 0 0 +0 1 1 1 0 1 0 0 1 0 0 1 1 +0 0 0 0 1 0 0 0 1 0 1 0 0 +0 1 0 1 1 0 0 1 1 0 0 1 1 +0 0 1 0 0 1 0 1 1 1 1 1 0 +1 0 0 0 0 1 1 0 1 0 0 0 1 +1 0 0 0 1 1 0 1 1 0 1 0 1 +1 0 1 1 0 0 1 1 0 0 0 1 1 +0 0 0 0 1 1 1 1 0 0 0 0 0 +0 1 1 1 1 1 1 1 1 1 0 1 1 +0 0 0 1 0 0 0 0 1 0 0 0 0 +1 1 1 1 0 1 0 1 0 0 1 0 0 +0 1 1 1 1 0 1 1 1 0 1 0 1 +1 0 0 1 0 1 0 1 0 1 1 1 1 +1 0 0 0 0 0 0 1 1 0 0 0 1 +1 0 0 1 0 1 0 1 0 0 1 0 1 +1 1 1 0 1 1 1 0 0 0 0 0 0 +0 1 1 1 1 0 0 1 0 0 1 1 1 +0 0 0 0 1 1 1 1 1 0 1 1 0 +0 0 1 1 1 1 0 0 1 0 1 1 0 +0 0 0 1 0 0 0 1 1 0 0 0 0 +1 0 1 0 1 0 0 1 0 0 0 0 1 +0 1 1 0 1 1 1 0 1 1 1 1 1 +0 1 0 1 0 0 1 0 1 0 0 1 1 +1 0 0 1 0 1 1 1 1 0 0 1 1 +0 0 1 1 0 0 1 0 0 1 1 1 0 +0 1 0 0 0 1 0 0 0 0 0 1 1 +1 1 0 1 1 1 0 1 0 0 0 1 0 +1 1 0 1 1 0 1 1 1 1 1 1 0 +0 1 0 0 1 0 1 1 1 1 0 0 1 +1 0 0 1 1 0 0 1 0 0 0 0 1 +0 1 0 0 0 0 1 0 1 1 0 0 1 +1 0 0 0 0 1 1 0 0 1 1 1 1 +0 1 0 1 1 0 1 1 0 0 1 1 1 +1 0 0 1 0 1 0 1 1 1 0 1 1 +1 1 1 0 1 0 1 1 0 0 0 1 0 +0 0 1 0 1 0 1 0 1 0 1 0 0 +0 1 0 0 1 0 1 1 1 1 1 1 1 +1 1 0 0 1 1 0 1 1 0 1 0 0 +1 0 1 0 0 0 1 1 0 0 0 0 1 +0 1 1 0 1 1 1 0 1 1 0 1 1 +1 0 1 1 0 1 1 1 1 0 0 1 1 +0 0 1 1 1 1 0 1 1 0 1 0 0 +1 1 1 1 1 0 0 0 1 0 0 0 0 +0 1 0 1 0 0 0 1 1 1 1 0 1 +0 1 1 1 0 0 0 1 0 1 0 1 1 +1 1 0 1 1 1 1 1 0 0 1 0 0 +0 1 0 0 1 1 0 1 0 1 0 1 1 +1 1 0 1 0 1 0 1 1 0 1 0 0 +1 1 1 1 0 1 0 1 0 0 1 1 0 +0 1 1 1 1 1 1 0 0 0 0 0 1 +0 0 0 1 0 1 0 0 1 1 1 1 0 +0 1 0 1 1 1 0 1 1 0 1 1 1 +0 1 0 0 1 0 0 0 0 1 0 0 1 +1 0 1 1 1 0 0 0 0 1 0 1 1 +1 1 0 0 1 1 1 0 1 0 1 0 0 +0 1 0 1 1 0 0 0 0 0 1 1 1 +1 1 0 1 0 0 1 0 1 0 1 1 0 +1 1 1 1 1 0 0 1 0 1 0 0 0 +1 1 0 1 1 1 0 1 0 0 1 1 0 +0 1 1 1 1 0 1 1 1 1 0 1 1 +1 1 0 1 1 0 1 0 0 0 0 1 0 +0 0 0 0 0 0 1 0 0 1 1 1 0 +0 1 1 1 1 1 1 1 0 0 0 0 1 +1 0 1 1 1 0 1 0 0 1 1 0 1 +0 0 0 1 1 1 0 0 0 1 1 1 0 +1 1 0 1 0 1 0 0 1 1 0 0 0 +1 1 0 1 1 0 1 0 0 0 1 0 0 +1 1 0 0 0 0 1 0 0 1 1 0 0 +1 0 0 0 0 0 0 1 1 1 0 1 1 +1 0 1 1 0 0 1 0 0 0 1 0 1 +0 0 0 0 1 0 1 1 1 0 1 0 0 +0 1 0 0 0 0 0 1 0 0 1 0 1 +0 1 1 0 1 1 0 1 1 0 1 0 1 +0 1 1 1 0 0 1 1 1 0 1 1 1 +0 0 0 1 1 1 1 0 0 1 1 1 0 +1 0 0 1 1 1 1 0 0 1 1 1 1 +1 1 1 0 1 0 0 0 1 1 0 1 0 +0 1 1 0 0 1 0 0 1 1 1 1 1 +0 0 1 1 0 1 1 0 0 0 0 0 0 +0 0 0 0 0 0 0 1 0 1 0 0 0 +0 0 0 0 0 1 0 1 0 0 0 1 0 +0 0 0 1 0 0 0 0 1 0 1 0 0 +0 0 0 0 0 0 0 1 0 0 0 0 0 +1 0 0 0 0 1 0 1 0 0 0 0 1 +1 0 1 0 1 1 1 0 0 1 1 1 1 +0 0 1 0 1 0 0 1 0 0 1 0 0 +1 0 1 1 0 1 0 0 1 0 0 1 1 +1 0 0 0 0 1 1 0 1 1 0 0 1 +1 1 1 1 0 0 0 0 1 0 1 0 0 +1 0 1 0 0 1 1 1 1 0 1 0 1 +1 1 0 0 1 1 1 0 0 0 1 1 0 +1 1 0 0 0 0 1 0 1 1 1 1 0 +1 1 0 0 1 0 1 1 0 0 1 1 0 +0 0 1 1 0 1 0 0 0 0 1 1 0 +1 1 0 1 0 0 0 0 1 0 0 0 0 +0 0 0 1 0 0 1 1 1 1 1 1 0 +1 0 1 1 1 1 1 1 1 0 1 1 1 +0 0 0 0 1 0 0 1 0 1 0 1 0 +0 0 1 0 1 1 0 0 1 1 1 0 0 +0 0 1 1 0 0 1 0 0 1 0 1 0 +1 1 0 0 1 1 1 1 0 1 1 0 0 +0 0 0 0 1 0 0 0 1 0 0 1 0 +1 1 1 0 1 1 0 0 0 0 1 1 0 +0 1 0 0 0 1 1 0 1 0 1 1 1 +1 0 1 0 0 1 1 0 1 1 0 0 1 +1 1 0 1 1 0 0 1 1 0 1 0 0 +0 0 0 1 0 0 0 0 1 1 0 0 0 +1 0 1 1 1 1 0 1 0 1 0 0 1 +0 0 0 1 1 0 1 0 1 0 0 0 0 +0 0 1 0 0 0 0 1 0 0 1 1 0 +1 0 1 0 1 0 0 0 1 0 1 0 1 +0 0 1 1 1 1 1 1 0 0 0 1 0 +0 0 0 1 1 0 0 0 1 0 1 1 0 +1 1 0 0 1 1 0 1 0 1 1 1 0 +1 1 0 1 0 0 1 1 1 0 1 1 0 +0 0 0 0 1 1 1 1 1 1 1 0 0 +1 1 1 1 1 1 1 0 1 1 1 1 0 +0 0 1 0 0 1 1 1 1 0 0 0 0 +1 0 1 0 1 1 0 1 1 1 1 1 1 +0 0 0 1 0 1 0 1 0 1 0 1 0 +0 0 1 0 0 1 1 1 1 1 1 0 0 +0 0 1 1 1 1 0 0 0 1 0 0 0 +0 1 1 0 0 0 0 0 0 0 0 0 1 +0 0 1 1 0 0 0 0 0 1 0 1 0 +0 0 0 0 1 0 1 0 1 0 1 0 0 +0 1 0 0 1 1 1 1 0 0 1 1 1 +0 0 1 1 1 0 1 1 0 0 0 1 0 +1 0 1 1 0 0 0 1 0 1 0 1 1 +0 0 0 1 0 1 1 1 1 1 1 0 0 +0 1 1 0 1 0 1 1 0 1 0 0 1 +1 0 0 1 1 0 1 1 0 1 0 0 1 +0 1 1 0 0 0 0 1 0 0 1 1 1 +1 1 1 1 1 0 1 0 1 0 0 0 0 +1 1 1 1 1 0 1 1 1 0 0 0 0 +1 0 1 0 1 1 0 1 0 1 1 1 1 +1 1 0 0 1 0 1 0 1 0 0 0 0 +1 0 1 1 0 1 1 0 1 0 1 1 1 +1 0 1 1 1 1 0 0 0 0 0 0 1 +1 0 0 1 0 0 1 1 0 0 0 0 1 +0 1 1 0 1 1 0 1 1 0 0 1 1 +1 0 0 1 1 1 1 0 0 1 0 1 1 +1 1 1 0 1 0 0 1 1 0 1 1 0 +1 1 1 0 1 0 0 0 1 0 0 0 0 +0 1 0 1 0 1 0 1 1 0 1 0 1 +0 1 1 1 1 0 1 1 0 0 0 0 1 +1 0 0 1 1 0 1 0 0 0 1 0 1 +0 0 0 0 1 1 1 0 0 1 0 0 0 +0 0 1 1 1 1 1 1 1 1 0 1 0 +0 0 1 1 0 0 0 1 0 0 1 0 0 +1 1 0 0 1 1 0 0 1 1 0 1 0 +0 1 0 0 0 0 0 0 0 0 1 1 1 +0 1 0 1 0 0 0 1 0 0 0 1 1 +0 1 1 0 0 0 0 1 1 0 0 0 1 +0 0 0 1 1 1 0 1 1 1 1 0 0 +1 1 0 1 0 1 0 0 0 0 1 1 0 +1 0 0 0 1 1 1 0 0 1 0 0 1 +0 1 0 0 1 0 0 1 0 0 0 1 1 +0 1 1 0 1 1 1 1 0 0 0 0 1 +0 0 1 0 1 0 0 1 1 0 1 0 0 +1 1 0 1 0 1 0 0 0 1 1 0 0 +1 0 0 1 0 0 1 0 0 0 0 1 1 +1 0 0 1 0 1 1 1 0 1 0 0 1 +0 1 1 0 1 1 1 1 0 1 0 0 1 +1 1 0 0 0 1 0 0 1 0 0 0 0 +0 1 0 0 1 0 1 1 0 0 1 0 1 +0 1 1 0 1 0 1 0 0 0 1 1 1 +1 1 0 0 0 0 0 0 1 1 1 1 0 +0 0 0 0 1 1 1 1 1 1 1 0 0 +0 1 1 0 0 0 0 0 1 0 1 0 1 +0 0 1 0 0 1 1 0 1 1 1 0 0 +1 1 0 1 0 0 1 0 1 1 1 0 0 +1 1 0 0 1 1 0 0 0 1 1 1 0 +0 1 1 0 1 1 0 0 0 1 1 0 1 +0 0 1 1 0 0 0 1 1 1 1 0 0 +0 0 1 1 0 0 0 1 0 1 1 1 0 +0 0 1 1 1 0 0 0 1 0 1 0 0 +0 1 1 1 1 1 0 0 0 0 0 1 1 +0 1 0 0 1 0 0 0 1 0 1 0 1 +0 0 0 0 0 0 1 1 1 0 0 0 0 +1 1 0 1 1 1 0 0 1 0 1 0 0 +0 0 1 1 0 1 1 1 0 1 1 1 0 +1 0 1 1 0 1 1 0 0 0 0 1 1 +1 0 1 1 0 0 0 1 1 0 0 1 1 +0 1 1 1 1 0 0 1 0 0 1 1 1 +1 0 0 1 1 1 1 1 0 1 0 1 1 +1 0 0 0 0 0 1 0 0 1 0 1 1 +0 0 0 0 0 0 0 1 0 1 1 1 0 +1 1 0 0 0 1 0 0 0 1 1 0 0 +0 1 1 0 1 0 1 1 0 1 0 1 1 +0 1 0 0 1 1 0 1 1 1 1 0 1 +0 0 0 1 0 1 0 1 1 1 0 0 0 +0 1 1 0 0 1 1 0 1 0 0 0 1 +1 1 1 1 1 1 0 1 0 0 1 1 0 +0 0 1 1 0 0 1 1 1 1 0 0 0 +0 0 1 0 1 1 0 1 0 0 1 0 0 +1 1 1 0 1 1 0 0 0 1 1 1 0 +1 0 0 0 0 0 0 1 0 0 1 0 1 +1 0 0 0 0 0 1 0 0 0 1 0 1 +1 1 1 1 1 0 1 1 1 1 1 1 0 +1 1 0 0 1 0 0 0 0 0 0 1 0 +0 1 0 1 0 1 1 1 1 1 0 1 1 +0 0 1 1 0 1 0 0 1 1 0 1 0 +0 1 0 0 0 1 0 0 1 1 0 1 1 +1 0 1 0 1 0 0 1 1 1 0 0 1 +0 0 0 1 0 1 1 1 1 1 1 1 0 +0 0 0 1 1 0 1 1 1 0 0 1 0 +0 0 0 1 1 0 1 0 1 1 1 0 0 +0 0 0 1 1 0 0 1 0 0 0 1 0 +1 0 0 0 0 1 1 0 0 0 1 0 1 +1 1 1 1 1 1 0 1 0 0 0 0 0 +1 0 0 1 1 1 1 1 1 0 1 0 1 +1 0 0 1 0 0 1 0 1 1 0 1 1 +0 1 0 0 0 1 0 0 0 0 0 0 1 +1 0 0 1 1 0 0 0 0 1 0 0 1 +0 1 0 1 0 1 0 1 1 0 1 0 1 +0 0 0 1 0 0 1 0 1 0 0 0 0 +0 1 0 1 0 1 1 1 1 1 0 0 1 +1 0 0 1 0 0 0 1 1 1 0 0 1 +0 0 1 1 1 1 1 1 1 0 1 1 0 +1 1 1 1 0 1 0 1 0 0 0 1 0 +1 0 0 1 0 1 1 0 1 0 1 0 1 +0 0 1 0 1 0 0 0 1 1 1 1 0 +1 0 1 0 1 1 1 1 1 1 1 0 1 +1 1 1 0 0 0 0 1 0 0 1 0 0 +1 1 1 0 0 1 1 0 1 0 1 0 0 +0 1 1 0 1 1 0 1 1 0 0 0 1 +1 0 0 1 1 1 1 0 1 1 0 0 1 +0 1 0 1 0 1 0 1 1 0 0 1 1 +1 0 1 1 1 1 0 0 1 0 0 1 1 +1 0 0 1 1 0 1 1 1 1 1 1 1 +1 0 1 0 1 1 0 0 0 1 1 0 1 +1 0 0 0 0 0 0 0 0 1 1 0 1 +1 0 1 1 0 1 1 1 1 1 1 1 1 +0 0 1 1 0 0 0 0 1 0 1 1 0 +1 1 1 0 0 0 0 0 0 1 0 1 0 +1 0 0 1 0 1 1 0 0 1 0 0 1 +0 0 0 0 0 0 0 1 0 1 0 0 0 +0 0 1 0 0 1 1 1 1 0 1 0 0 +0 1 1 1 1 0 1 0 0 1 0 1 1 +1 0 1 1 0 0 1 1 1 1 1 1 1 +0 1 0 0 0 1 0 0 0 1 1 1 1 +0 0 1 1 0 0 0 1 0 1 1 0 0 +1 0 0 0 1 0 0 1 0 0 0 0 1 +1 0 1 0 1 1 1 0 1 1 1 1 1 +1 1 1 0 0 0 1 1 0 1 1 0 0 +0 1 0 0 1 0 0 0 0 1 1 1 1 +0 0 0 0 1 1 1 0 0 0 1 0 0 +1 0 1 1 1 0 0 0 0 1 0 1 1 +1 1 0 1 1 1 1 1 1 1 0 0 0 +1 1 1 0 0 1 1 0 0 0 0 1 0 +0 1 1 0 1 1 1 1 1 1 1 0 1 +0 1 1 1 1 0 1 0 0 0 1 1 1 +0 0 1 0 0 1 0 1 1 1 1 0 0 +1 0 0 0 0 0 0 1 1 0 0 0 1 +1 0 0 0 1 0 1 1 0 1 0 1 1 +0 1 0 0 0 1 0 1 1 1 1 1 1 +0 0 0 1 0 0 1 1 1 0 0 1 0 +1 0 1 0 1 1 0 1 1 0 1 1 1 +1 1 0 0 1 1 0 1 1 1 1 0 0 +0 1 0 1 0 0 0 1 0 0 1 0 1 +0 1 0 0 0 1 1 0 0 0 0 1 1 +1 0 0 0 0 1 0 0 1 1 0 1 1 +0 1 0 1 1 1 0 0 1 1 0 0 1 +0 1 1 0 1 0 1 0 1 0 0 1 1 +0 0 1 1 1 1 1 1 0 0 0 0 0 +0 0 1 0 1 0 1 0 1 0 1 1 0 +1 1 0 0 1 1 0 1 0 1 1 0 0 +0 1 1 0 1 1 0 1 1 0 1 0 1 +0 0 1 1 0 1 1 1 0 0 0 0 0 +0 1 1 1 0 1 0 0 0 1 1 0 1 +0 0 0 0 1 0 1 0 0 0 1 1 0 +0 0 1 1 0 0 0 0 0 0 1 0 0 +0 1 0 0 1 1 1 0 0 1 1 0 1 +1 1 1 1 1 1 0 1 0 1 0 1 0 +1 1 0 1 1 1 1 1 0 0 0 1 0 +1 1 1 1 1 0 0 1 0 1 0 1 0 +1 0 1 0 1 1 1 1 1 1 1 1 1 +1 1 1 1 1 0 0 0 0 1 0 1 0 +1 0 0 0 0 1 1 0 1 1 1 1 1 +1 1 0 0 1 1 0 1 0 1 0 0 0 +1 0 1 1 1 1 1 1 1 0 0 0 1 +0 0 1 0 1 1 1 0 0 0 1 0 0 +0 1 1 1 0 0 0 1 0 1 1 0 1 +1 1 1 0 0 1 0 1 0 1 0 0 0 +0 1 0 1 1 1 0 1 0 1 0 1 1 +0 0 1 1 1 0 1 0 1 0 1 0 0 +1 0 0 0 0 0 1 1 1 1 0 0 1 +1 0 1 1 1 0 1 1 0 0 0 0 1 +1 1 1 0 0 0 0 1 1 0 0 1 0 +1 1 1 0 1 1 1 1 0 0 1 0 0 +0 0 0 0 1 1 0 0 1 1 0 0 0 +1 1 1 0 1 1 1 0 1 0 1 1 0 +0 1 0 0 1 0 1 1 0 1 0 1 1 +0 1 0 1 1 0 1 1 1 1 0 0 1 +0 0 0 1 0 0 1 0 0 0 1 1 0 +1 0 0 0 0 1 1 0 0 1 1 1 1 +1 1 1 0 0 1 0 1 0 1 0 0 0 +0 1 1 1 1 0 0 1 0 1 1 0 1 +0 1 0 0 0 0 1 1 1 0 0 0 1 +0 0 0 0 1 1 1 0 0 1 0 1 0 +0 1 1 0 1 0 0 0 0 1 1 0 1 +1 0 1 1 0 1 0 1 0 0 0 1 1 +1 1 1 1 0 1 0 1 1 1 0 1 0 +1 0 0 0 1 0 0 1 0 0 0 1 1 +0 1 0 1 0 1 0 0 0 1 1 1 1 +0 1 0 0 1 0 0 0 1 1 0 1 1 +1 1 1 0 1 0 0 1 0 0 1 0 0 +1 0 1 1 0 1 0 0 0 1 0 1 1 +0 1 0 0 1 1 0 1 1 0 1 0 1 +1 1 1 1 1 1 1 0 1 1 0 1 0 +0 1 0 0 0 0 1 1 1 0 0 1 1 +0 0 0 0 1 0 0 1 1 0 0 0 0 +1 1 1 1 1 0 1 0 0 1 0 0 0 +0 1 0 0 1 0 0 1 1 0 0 0 1 +1 0 1 1 1 1 0 1 0 0 1 0 1 +0 0 1 0 1 0 0 0 0 1 1 1 0 +0 1 1 0 0 0 0 0 1 0 1 0 1 +1 1 0 0 0 1 1 1 0 0 0 0 0 +1 0 0 1 1 1 1 0 0 1 1 0 1 +1 0 1 0 1 0 0 0 1 1 1 0 1 +1 0 1 0 1 1 1 1 1 0 1 1 1 +0 1 1 1 0 0 0 0 1 0 1 0 1 +1 1 1 1 0 1 1 0 0 1 0 1 0 +0 0 0 1 0 1 1 0 0 0 0 0 0 +1 0 1 0 1 1 1 0 0 1 0 1 1 +1 0 0 0 1 0 0 1 0 0 0 0 1 +0 1 0 0 1 1 0 1 1 0 0 0 1 +0 1 1 0 0 1 1 0 1 0 0 0 1 +1 1 0 0 1 1 0 1 0 1 0 0 0 +0 0 0 0 0 0 1 1 0 0 1 1 0 +0 0 1 0 1 0 0 1 0 1 0 1 0 +0 1 1 0 1 1 0 1 0 1 1 1 1 +0 0 1 1 1 0 1 1 0 0 0 0 0 +1 1 1 0 1 0 1 1 1 0 1 1 0 +1 0 0 1 1 0 1 0 1 0 1 1 1 +0 1 0 0 0 1 1 1 1 0 0 0 1 +1 0 1 0 1 1 0 0 0 0 0 0 1 +0 1 0 0 0 0 1 1 1 1 0 0 1 +0 1 1 1 1 0 1 0 0 0 0 0 1 +1 0 0 1 0 1 1 0 0 0 0 1 1 +0 1 1 1 0 1 1 0 0 1 0 0 1 +1 0 0 0 1 0 1 0 0 1 1 1 1 +1 0 0 1 1 0 0 0 0 0 0 1 1 +0 0 0 0 0 0 0 0 1 1 1 1 0 +0 0 1 1 0 1 0 1 1 1 1 0 0 +1 1 1 1 1 0 0 1 1 0 1 1 0 +0 0 1 1 0 1 1 0 0 1 1 0 0 +0 1 1 1 1 0 0 1 1 0 1 0 1 +0 0 1 0 1 0 0 0 1 0 0 1 0 +1 1 0 1 1 0 0 1 1 0 0 1 0 +1 1 0 1 0 0 1 1 0 1 1 1 0 +0 1 1 1 1 0 1 1 0 0 1 0 1 +0 1 0 1 0 0 1 1 1 1 1 1 1 +0 1 1 0 0 0 1 1 1 0 0 1 1 +0 0 1 1 1 0 1 1 1 0 0 1 0 +1 1 0 1 1 0 0 0 0 0 0 1 0 +1 0 0 0 1 1 0 1 0 1 1 0 1 +1 1 1 0 1 0 1 1 0 1 0 1 0 +0 0 0 1 1 0 1 0 1 0 0 0 0 +0 0 1 0 0 0 1 0 0 0 0 1 0 +0 0 1 0 1 1 1 1 0 1 0 1 0 +0 1 1 0 0 1 1 1 0 1 1 0 1 +1 0 1 1 1 1 0 0 1 1 1 1 1 +1 1 1 1 1 1 1 0 1 0 0 0 0 +1 1 0 0 0 1 1 0 0 1 0 1 0 +0 0 1 0 1 0 1 0 1 0 1 0 0 +1 0 1 0 1 1 1 1 0 1 0 1 1 +1 1 0 0 0 1 0 0 0 0 0 0 0 +1 0 1 0 1 0 1 1 0 0 0 0 1 +0 0 1 0 0 0 0 1 1 0 1 1 0 +1 0 0 1 0 0 1 0 1 0 1 1 1 +1 0 0 0 1 0 0 1 1 0 0 1 1 +0 1 1 1 0 0 0 0 0 1 0 0 1 +0 0 0 1 0 1 0 1 1 1 1 0 0 +0 1 1 0 0 0 1 0 0 1 1 0 1 +1 1 1 1 1 1 0 0 0 1 1 1 0 +1 0 0 0 1 1 0 0 0 1 1 1 1 +0 1 1 0 1 1 0 1 0 1 1 0 1 +0 1 0 1 1 0 1 0 1 1 0 0 1 +1 0 0 0 1 1 1 0 0 1 1 1 1 +1 1 1 0 1 0 1 1 1 0 1 0 0 +0 0 1 1 1 0 1 0 1 0 0 1 0 +0 1 0 1 1 0 0 0 0 1 1 1 1 +1 0 0 1 1 1 0 1 0 1 1 0 1 +1 1 1 0 1 0 1 0 0 1 0 0 0 +0 1 0 1 0 0 0 0 1 0 1 1 1 +0 1 1 0 1 0 0 1 0 1 0 1 1 +1 1 1 1 0 0 1 0 0 1 1 1 0 +1 0 0 0 1 0 1 1 1 1 1 1 1 +1 0 0 0 0 1 1 1 1 0 1 0 1 +0 0 0 1 1 1 0 0 1 1 1 0 0 +1 0 0 1 1 0 1 0 1 1 1 1 1 +1 0 1 1 1 1 0 1 1 0 1 0 1 +1 0 0 1 0 0 1 0 1 0 1 0 1 +1 0 1 0 0 0 1 0 1 0 0 1 1 +1 1 1 1 0 0 1 0 0 0 1 1 0 +0 1 0 0 0 0 1 0 0 1 1 0 1 +0 1 0 1 1 1 0 0 0 0 1 1 1 +1 1 1 0 1 0 1 1 1 0 0 0 0 +1 1 0 0 1 1 1 0 1 0 1 0 0 +0 1 0 1 1 0 1 0 1 1 1 1 1 +0 1 1 0 0 1 1 0 0 1 1 1 1 +0 0 0 0 0 1 1 1 1 0 1 0 0 +0 0 0 0 0 0 0 0 0 1 1 1 0 +1 0 1 0 0 1 0 0 1 1 0 0 1 +1 0 0 1 1 0 1 1 0 0 0 1 1 +0 0 1 1 1 0 1 0 0 0 0 1 0 +0 0 1 0 1 1 0 1 1 0 1 0 0 +1 1 1 0 1 0 0 1 0 0 1 1 0 +0 1 0 0 0 0 0 1 1 0 1 0 1 +1 0 0 0 0 0 1 0 0 1 1 0 1 +0 1 1 0 1 1 0 1 0 1 1 0 1 +0 0 0 1 1 0 0 0 1 1 1 0 0 +0 1 1 0 1 0 1 0 1 1 0 1 1 +0 0 0 1 0 0 1 0 1 0 1 1 0 +0 1 1 0 1 0 0 1 1 0 0 1 1 +1 1 1 0 1 0 1 0 1 1 1 1 0 +0 0 1 0 0 0 0 0 0 0 1 1 0 +0 0 1 0 1 0 0 0 0 0 0 1 0 +1 0 1 1 0 1 1 0 0 1 0 1 1 +0 1 1 0 0 1 0 1 0 1 1 1 1 +0 1 1 1 0 0 0 1 0 0 1 1 1 +1 1 0 0 0 0 1 1 1 0 0 1 0 +0 0 1 0 1 1 0 1 1 1 0 1 0 +0 0 1 0 0 0 0 1 0 0 1 1 0 +0 1 1 0 1 0 0 1 1 1 0 0 1 +1 1 1 1 1 1 0 1 1 0 1 1 0 +1 1 1 0 1 1 0 1 0 0 1 1 0 +0 1 1 1 1 0 0 0 0 0 1 1 1 +1 0 0 1 0 0 0 1 1 1 0 0 1 +0 1 0 1 0 0 0 0 1 0 0 1 1 +0 1 1 0 1 1 1 1 0 1 0 0 1 +1 1 0 1 0 0 1 1 1 0 0 0 0 +1 1 0 1 1 0 0 0 0 1 0 0 0 +0 0 0 1 1 0 1 0 1 1 1 1 0 +0 1 0 0 0 0 1 1 0 0 1 0 1 +1 1 0 0 1 1 0 1 0 0 0 1 0 +1 1 0 1 0 1 1 1 0 0 1 1 0 +0 0 1 1 0 0 1 0 1 1 0 0 0 +1 0 1 0 0 0 0 0 0 0 0 1 1 +1 0 0 1 0 0 1 0 0 1 1 1 1 +1 1 0 1 1 1 1 0 1 0 1 0 0 +1 0 0 1 1 1 1 1 0 0 1 0 1 +0 1 1 0 1 1 1 0 1 1 1 1 1 +0 0 0 0 0 0 0 1 1 1 0 1 0 +0 0 0 1 0 0 0 1 0 0 1 1 0 +0 0 1 1 0 1 1 1 0 1 1 1 0 +1 0 1 0 1 1 1 1 0 0 1 0 1 +1 1 0 1 1 0 1 1 0 1 1 1 0 +1 0 1 1 0 0 0 1 1 1 1 1 1 +1 1 0 0 0 0 0 0 0 1 1 1 0 +1 1 1 0 1 0 0 0 1 0 1 0 0 +1 1 0 0 1 1 1 0 0 1 1 0 0 +0 1 0 1 0 0 0 1 1 0 0 0 1 +0 0 0 1 1 0 1 1 0 0 1 0 0 +0 1 1 0 1 1 0 1 0 1 0 0 1 +1 1 0 0 1 0 1 0 1 1 1 1 0 +1 0 0 1 1 0 1 0 1 1 0 1 1 +0 1 1 0 1 0 0 0 0 1 0 0 1 +0 0 1 0 0 1 1 1 0 0 0 1 0 +1 0 1 0 1 1 1 0 0 0 1 0 1 +1 0 0 1 0 1 0 1 1 1 0 1 1 +0 0 1 0 0 1 1 1 1 0 1 1 0 +0 1 0 0 1 1 1 1 0 1 1 1 1 +0 1 1 0 1 1 0 0 1 0 0 1 1 +1 1 1 0 0 1 0 0 0 0 1 0 0 +0 0 0 1 0 0 1 1 0 0 0 0 0 +1 1 0 0 0 1 0 1 1 0 1 1 0 +0 0 0 0 0 0 1 0 1 1 1 0 0 +1 1 0 0 1 0 1 1 1 0 0 1 0 +1 0 0 0 0 1 1 1 1 1 1 0 1 +1 1 1 0 1 0 0 1 0 1 0 1 0 +1 1 1 0 1 0 1 1 0 1 1 1 0 +1 1 1 1 0 1 1 0 0 0 0 1 0 +0 0 1 0 0 0 0 1 0 0 0 1 0 +0 1 1 1 1 0 0 1 0 0 0 0 1 +0 1 1 1 0 1 1 1 0 1 1 1 1 +0 1 0 1 0 1 0 0 1 0 0 0 1 +1 0 1 0 1 1 0 0 1 0 1 0 1 +0 1 0 0 0 0 0 0 0 0 0 0 1 +1 1 0 0 0 1 1 1 1 1 1 1 0 +1 1 0 1 1 1 0 1 1 0 0 1 0 +0 1 0 0 0 0 1 0 0 1 0 0 1 +1 0 1 0 1 1 0 0 1 0 1 1 1 +0 1 0 1 1 0 1 0 0 1 0 1 1 +0 0 1 0 0 1 0 1 1 0 0 1 0 +0 0 1 0 0 1 1 0 1 0 0 0 0 +1 1 0 0 1 0 1 0 1 1 0 1 0 +0 1 0 0 1 1 1 1 0 0 0 0 1 +0 1 1 1 0 0 0 1 1 1 1 0 1 +0 1 1 1 1 0 1 1 0 0 0 1 1 +1 0 0 0 0 0 1 0 0 0 1 0 1 +0 0 1 0 0 0 1 1 0 1 1 1 0 +1 0 0 0 1 0 1 1 1 0 0 1 1 +1 1 1 1 0 1 1 1 1 0 0 1 0 +1 1 0 1 0 0 1 1 0 0 1 1 0 +0 1 1 1 1 0 0 0 1 1 1 1 1 +1 1 0 0 1 0 1 0 0 1 1 1 0 +1 0 0 0 0 1 0 1 0 0 1 1 1 +1 0 1 0 1 1 0 0 0 1 1 1 1 +0 1 1 0 0 0 1 0 1 0 1 0 1 +0 0 1 1 0 1 1 0 0 0 0 1 0 +0 1 1 1 1 1 0 1 1 0 0 0 1 +1 1 0 0 1 0 1 0 0 1 0 1 0 +0 0 1 1 1 1 1 1 0 0 1 1 0 +1 0 0 1 0 0 0 0 0 0 1 1 1 +0 0 1 0 0 0 0 1 0 1 1 1 0 +0 1 1 0 0 0 0 0 0 0 0 1 1 +0 0 0 1 1 0 1 0 0 0 1 0 0 +1 0 0 1 1 0 1 0 0 1 1 1 1 +0 1 1 0 0 1 1 0 1 0 0 1 1 +0 0 0 1 0 0 0 0 0 0 1 0 0 +1 0 1 1 0 1 1 0 0 0 1 0 1 +0 0 1 0 1 0 0 0 1 0 0 0 0 +0 0 1 0 1 1 1 1 1 1 0 1 0 +0 1 0 1 0 0 1 0 0 1 1 1 1 +0 1 0 1 0 1 1 0 1 0 0 1 1 +0 1 1 1 1 0 1 0 1 1 1 0 1 +0 1 0 0 0 0 1 1 0 1 0 1 1 +1 0 1 0 0 1 0 1 0 0 0 1 1 +0 0 0 0 0 1 0 0 1 1 0 0 0 +0 1 1 1 0 0 0 1 0 0 1 1 1 +0 1 0 1 1 0 1 0 0 0 0 1 1 +0 1 1 1 1 1 1 0 0 0 0 1 1 +1 0 1 0 0 0 1 0 0 0 0 1 1 +1 1 1 1 0 1 1 1 1 1 1 1 0 +1 0 1 0 0 0 0 1 1 0 1 0 1 +1 0 0 0 1 0 0 1 0 1 0 1 1 +0 1 1 0 1 1 1 0 1 1 1 0 1 +1 0 0 1 1 1 1 0 1 1 0 1 1 +0 1 0 0 1 0 1 1 0 1 0 1 1 +0 1 0 0 0 0 0 1 0 0 1 1 1 +0 0 1 0 1 1 0 0 0 1 1 0 0 +1 1 1 0 0 1 1 1 0 1 1 0 0 +1 1 1 0 1 1 1 0 0 0 0 0 0 +1 0 1 0 0 1 1 0 1 1 1 0 1 +1 0 1 1 1 1 1 1 1 1 1 1 1 +1 1 1 0 0 1 1 0 0 0 1 1 0 +1 0 0 1 1 0 1 1 0 1 0 1 1 +0 0 1 0 0 0 0 1 1 0 1 0 0 +0 0 0 1 1 1 0 0 0 0 0 0 0 +0 0 1 0 0 0 0 0 0 0 0 0 0 +0 0 1 1 0 0 1 1 0 1 1 1 0 +1 1 0 0 1 0 1 1 0 0 0 1 0 +1 0 0 0 0 1 1 1 1 0 1 1 1 +1 0 0 0 0 1 1 0 1 0 1 0 1 +1 1 1 1 0 0 1 1 0 0 1 0 0 +0 0 1 0 0 0 1 1 0 0 0 1 0 +0 1 1 1 1 0 0 1 1 0 0 0 1 +1 0 1 1 0 0 0 0 0 0 0 1 1 +1 1 1 1 0 1 0 0 0 0 0 1 0 +1 0 1 1 1 0 0 0 0 1 0 1 1 +0 0 0 0 0 0 1 1 0 0 1 0 0 +1 1 0 1 1 1 0 0 0 1 1 1 0 +0 0 0 1 0 1 1 0 1 1 0 0 0 +0 1 1 0 1 0 0 1 1 0 0 1 1 +0 0 0 1 0 1 0 1 0 0 0 1 0 +0 0 1 0 1 0 0 1 0 0 1 1 0 +0 0 1 0 1 0 0 0 1 0 1 0 0 +1 0 0 1 0 0 1 1 0 1 0 1 1 +0 1 1 0 1 0 1 1 1 0 1 1 1 +0 0 1 1 0 0 0 1 1 1 0 0 0 +1 1 0 1 0 1 0 1 0 0 0 0 0 +1 0 1 0 0 1 0 0 1 0 1 0 1 +1 0 1 0 0 1 1 0 0 1 1 1 1 +1 1 0 1 1 0 1 1 0 1 0 0 0 +1 1 1 1 1 1 1 1 1 1 1 1 0 +0 0 1 0 0 1 1 1 0 0 0 1 0 +1 1 0 1 1 0 0 1 1 0 1 1 0 +0 0 0 1 0 1 0 1 0 1 0 0 0 +1 0 0 1 0 0 0 1 0 1 0 1 1 +1 0 1 1 0 1 1 1 0 1 0 1 1 +0 1 1 0 0 1 0 1 0 0 0 0 1 +1 0 0 0 1 0 1 0 1 1 0 1 1 +0 1 1 0 0 0 0 0 1 0 0 0 1 +1 0 1 1 1 0 0 0 1 1 1 0 1 +1 0 0 1 0 0 0 0 1 1 0 1 1 +0 0 1 0 0 1 0 1 0 1 0 1 0 +0 0 1 0 0 0 0 0 0 1 0 1 0 +1 0 1 1 0 0 1 0 1 1 1 1 1 +1 0 1 1 1 1 1 1 1 1 0 0 1 +0 0 1 0 1 0 1 1 0 1 1 0 0 +0 1 0 1 1 1 0 1 0 1 0 1 1 +0 1 0 0 0 0 0 1 1 0 1 1 1 +1 0 0 0 0 0 0 0 0 0 0 1 1 +0 0 0 1 1 0 0 1 1 1 0 0 0 +0 1 1 1 1 1 0 1 0 0 0 1 1 +1 0 0 1 1 0 0 0 1 1 1 1 1 +1 0 1 1 0 1 1 0 1 0 0 0 1 +0 0 1 1 0 1 1 1 0 0 0 1 0 +1 1 0 1 0 1 0 1 0 0 1 1 0 +0 1 0 1 1 0 1 1 0 0 0 1 1 +1 1 0 0 1 0 1 1 1 1 1 1 0 +1 1 1 0 1 0 0 1 1 0 0 1 0 +1 0 1 1 1 0 1 1 0 1 0 0 1 +0 1 0 0 1 0 1 1 1 0 0 0 1 +0 1 1 1 0 0 1 0 1 1 1 1 1 +0 0 0 1 0 1 0 1 0 0 0 1 0 +1 1 1 1 0 0 1 1 1 1 1 0 0 +1 0 0 1 0 0 0 1 0 0 1 1 1 +0 0 0 1 1 0 1 0 0 0 0 1 0 +0 1 1 1 1 1 1 0 0 0 0 0 1 +0 1 1 1 1 0 0 1 1 0 1 1 1 +1 0 1 0 0 0 0 0 0 0 1 1 1 +0 1 1 1 1 1 0 0 0 1 0 0 1 +0 1 0 1 1 0 1 0 1 0 0 0 1 +1 0 1 1 1 1 0 1 1 0 0 0 1 +1 0 1 0 1 1 1 0 1 0 0 1 1 +1 0 1 0 1 1 0 1 1 0 0 0 1 +0 0 0 0 1 1 1 1 1 1 1 1 0 +0 1 0 1 1 1 1 1 0 1 1 0 1 +1 0 1 1 1 1 1 0 0 1 0 1 1 +0 1 0 1 0 1 0 0 1 1 1 1 1 +0 1 1 1 0 0 1 0 0 0 1 0 1 +1 0 1 0 1 0 0 1 0 0 1 0 1 +0 1 1 0 0 1 0 1 0 0 1 0 1 +1 0 1 1 1 1 1 0 1 0 0 0 1 +1 0 0 1 0 1 1 1 1 0 0 0 1 +1 0 1 0 0 1 1 1 1 0 1 0 1 +1 0 0 0 1 1 0 1 0 1 0 1 1 +0 0 1 1 0 0 0 0 1 1 1 0 0 +0 1 0 0 1 1 0 1 0 0 1 1 1 +1 0 0 0 0 0 1 1 1 0 0 0 1 +0 1 1 1 1 0 1 1 0 0 0 0 1 +0 0 0 0 0 1 0 1 0 0 1 0 0 +1 0 0 0 0 1 1 0 1 0 0 0 1 +1 1 0 0 0 1 0 1 1 0 1 0 0 +0 1 0 0 0 0 1 1 0 1 1 1 1 +0 1 1 0 1 1 1 0 1 0 1 0 1 +1 1 0 0 1 1 0 1 1 0 1 0 0 +0 1 0 0 1 1 0 0 0 0 1 1 1 +1 1 0 1 0 0 1 1 1 0 1 1 0 +1 1 0 1 0 1 0 0 0 1 0 1 0 +0 0 0 1 1 0 0 1 0 1 0 1 0 +1 1 0 0 1 1 1 1 0 0 1 1 0 +0 1 1 0 0 0 0 0 0 1 1 1 1 +1 1 1 0 0 1 0 1 0 1 1 1 0 +0 0 0 0 0 1 0 1 0 1 1 0 0 +1 0 1 0 0 1 0 1 0 1 0 1 1 +0 1 1 1 0 0 1 0 0 0 1 1 1 +1 0 0 0 1 0 0 0 1 0 1 1 1 +1 0 0 1 0 0 1 1 1 0 1 0 1 +1 0 0 1 1 1 0 1 1 1 0 0 1 +0 0 1 0 0 1 1 0 1 1 1 0 0 +1 0 0 0 1 1 1 0 0 1 1 1 1 +0 0 1 1 1 1 0 0 1 0 0 0 0 +1 1 1 0 0 0 1 1 1 0 0 0 0 +1 0 0 1 0 1 0 1 1 0 1 1 1 +0 1 1 0 0 1 0 0 1 1 0 0 1 +0 0 1 0 1 0 1 0 0 1 0 1 0 +1 0 1 1 1 0 0 0 0 1 0 0 1 +1 1 1 0 1 1 1 1 0 1 1 0 0 +1 1 0 0 0 0 1 1 1 0 1 1 0 +1 1 0 1 0 0 0 1 0 0 1 0 0 +1 0 1 1 0 0 1 0 1 0 0 0 1 +1 1 0 1 0 1 0 1 1 0 0 1 0 +0 1 1 1 1 0 1 1 1 1 1 0 1 +0 0 1 1 0 1 1 1 1 0 1 1 0 +1 0 1 1 1 1 0 1 0 0 1 0 1 +0 1 1 1 0 0 0 1 0 0 1 0 1 +0 0 0 0 0 1 1 0 1 1 1 0 0 +0 1 0 0 1 0 1 0 1 1 1 0 1 +1 0 1 0 1 0 1 0 0 0 0 0 1 +1 0 0 0 0 1 1 1 1 1 1 0 1 +0 1 1 1 1 0 0 1 1 1 1 1 1 +1 0 1 1 0 1 1 1 1 0 1 1 1 +1 0 0 0 1 0 0 0 0 0 0 1 1 +1 1 1 0 0 1 1 1 0 1 1 1 0 +0 1 0 0 0 0 1 1 0 0 1 1 1 +1 0 0 1 1 0 1 0 1 0 0 1 1 +1 1 1 1 1 0 1 0 0 0 0 1 0 +1 1 0 1 1 0 1 0 1 1 0 0 0 +0 1 1 0 1 1 1 0 1 1 0 0 1 +0 0 1 0 1 1 0 0 0 0 1 1 0 +0 1 1 0 1 1 0 0 0 1 0 0 1 +1 1 1 0 0 0 1 0 0 0 0 1 0 +1 0 1 1 1 0 0 1 0 1 0 1 1 +0 0 1 0 1 0 1 1 0 0 1 1 0 +1 0 1 0 1 1 1 1 1 0 0 0 1 +1 0 1 1 0 1 1 1 1 1 1 0 1 +0 0 1 1 0 0 1 1 0 1 1 0 0 +1 1 1 1 1 0 0 0 1 0 1 1 0 +1 0 1 1 1 1 1 1 0 1 0 0 1 +0 0 1 0 0 0 1 1 0 0 1 1 0 +0 1 0 1 0 1 1 1 1 0 1 1 1 +0 1 0 1 1 0 0 0 0 1 0 1 1 +1 1 1 1 0 1 0 1 0 0 1 0 0 +1 1 0 0 1 0 1 1 1 0 1 0 0 +0 0 1 0 0 0 1 0 1 1 0 0 0 +0 1 0 0 0 0 0 0 0 0 1 0 1 +0 1 0 1 1 1 1 1 1 0 1 0 1 +1 1 0 0 1 1 0 0 0 0 1 0 0 +1 1 0 1 0 0 0 1 0 1 1 1 0 +1 1 0 1 1 1 0 0 1 0 1 1 0 +0 1 1 1 0 0 0 0 0 1 1 1 1 +0 1 1 0 0 0 0 1 1 1 1 0 1 +1 1 0 1 1 0 0 0 0 1 1 1 0 +1 0 1 1 0 0 0 1 0 0 1 0 1 +1 0 0 0 0 0 0 1 0 1 1 0 1 +1 0 1 1 1 1 0 0 0 1 1 1 1 +1 0 0 0 0 1 1 0 0 1 0 0 1 +0 1 0 1 0 1 0 0 1 1 0 1 1 +0 0 0 0 1 0 1 0 0 0 0 1 0 +0 1 1 1 1 0 0 1 1 1 1 0 1 +1 1 1 0 0 1 0 0 0 1 1 1 0 +0 0 1 0 1 1 1 1 0 0 0 0 0 +1 1 1 1 0 1 0 1 1 0 1 0 0 +0 1 1 1 1 0 1 1 1 1 0 0 1 +1 0 1 1 0 1 0 1 0 1 1 1 1 +1 1 1 1 1 1 0 1 0 0 1 1 0 +1 0 0 1 0 0 1 1 0 0 0 1 1 +1 0 1 0 0 1 0 1 1 1 1 0 1 +1 0 1 1 1 0 1 0 0 1 0 0 1 +1 0 1 0 0 0 1 0 0 1 0 0 1 +1 1 0 1 1 1 0 0 1 0 1 1 0 +0 0 0 1 1 0 0 0 0 0 0 1 0 +0 0 1 0 0 1 0 0 0 1 1 0 0 +1 1 0 0 1 0 1 1 1 0 0 0 0 +1 0 1 0 0 1 0 1 0 0 1 1 1 +1 0 0 1 1 0 0 0 1 0 0 0 1 +1 0 1 0 1 0 0 0 0 0 1 0 1 +1 1 0 1 0 1 0 1 1 0 1 0 0 +1 0 1 0 0 0 1 1 1 0 0 1 1 +0 0 1 0 1 1 1 1 1 0 0 0 0 +0 0 0 0 0 0 0 1 1 0 1 1 0 +1 1 1 0 0 0 1 1 1 1 0 1 0 +1 1 0 1 0 1 1 1 0 1 1 0 0 +0 1 1 1 1 0 1 0 0 1 1 1 1 +0 1 1 1 1 0 0 0 0 1 1 0 1 +1 0 0 1 1 0 1 1 1 1 1 1 1 +0 1 0 0 1 1 1 1 1 0 0 1 1 +0 0 1 1 0 1 0 0 1 1 0 0 0 +0 1 1 1 0 1 0 1 0 1 0 1 1 +1 1 1 1 0 1 0 1 1 0 1 0 0 +1 0 1 1 0 1 1 1 1 0 1 0 1 +0 0 1 0 1 1 1 1 0 0 1 0 0 +0 0 1 0 0 0 0 1 1 1 1 1 0 +1 0 0 0 1 0 0 1 0 1 0 1 1 +1 1 1 1 0 1 1 0 1 0 1 1 0 +0 0 1 1 1 1 0 0 0 1 1 0 0 +1 0 1 0 0 0 1 1 0 1 1 1 1 +0 0 1 1 1 0 0 0 1 1 1 1 0 +0 1 1 0 0 0 1 0 1 0 0 1 1 +0 0 1 0 0 0 1 1 1 1 0 0 0 +1 1 1 0 1 0 1 0 0 0 0 0 0 +1 0 1 1 0 0 1 1 1 1 0 0 1 +1 0 0 1 1 1 0 0 0 0 0 1 1 +0 0 1 1 1 1 0 0 1 0 0 1 0 +0 1 0 0 0 1 1 1 0 0 0 1 1 +1 1 1 1 0 0 1 1 0 1 1 1 0 +1 0 0 0 0 0 1 1 0 1 1 1 1 +0 0 1 1 1 1 0 1 1 1 0 1 0 +1 0 0 0 1 0 0 0 1 1 0 0 1 +0 0 1 0 0 1 1 1 0 1 0 0 0 +1 0 0 0 1 1 1 0 1 1 0 1 1 +0 0 0 1 1 1 1 0 0 0 1 1 0 +0 0 0 0 1 0 1 0 1 1 1 0 0 +1 1 0 1 0 0 1 1 1 0 1 1 0 +1 1 1 0 0 0 1 0 0 1 0 0 0 +1 0 1 1 0 1 0 1 0 0 0 1 1 +0 1 1 0 1 1 0 1 0 0 1 0 1 +1 1 0 0 0 1 0 0 0 0 0 0 0 +0 0 1 1 1 1 1 1 1 0 0 0 0 +0 1 0 1 1 1 0 1 1 1 1 1 1 +1 1 0 1 1 0 1 0 0 0 0 0 0 +0 1 0 0 1 1 1 0 0 0 1 0 1 +0 0 0 0 1 0 0 0 1 1 1 0 0 +0 1 0 1 0 1 1 1 0 0 0 1 1 +0 0 0 1 1 1 0 0 1 0 0 1 0 +0 0 0 1 1 1 0 1 0 0 1 0 0 +1 1 0 0 0 0 0 1 1 1 1 1 0 +0 1 1 0 1 0 1 1 1 0 0 0 1 +0 1 1 1 1 0 0 0 0 1 1 0 1 +0 0 0 1 1 0 0 0 1 1 0 1 0 +0 1 1 0 0 0 0 1 1 1 1 1 1 +0 0 0 1 0 0 1 1 0 1 1 0 0 +0 0 0 0 0 0 0 0 0 1 0 1 0 +1 0 1 0 1 0 1 1 0 1 1 0 1 +1 0 1 1 0 1 1 0 0 0 0 0 1 +0 1 0 1 1 0 1 1 1 0 1 0 1 +0 1 0 0 1 1 1 0 0 0 0 0 1 +1 0 0 1 0 1 1 1 0 0 0 1 1 +1 0 0 0 0 1 0 0 0 1 0 1 1 +0 1 0 0 1 0 0 1 0 1 0 0 1 +1 0 0 0 0 0 1 1 1 0 1 1 1 +0 1 1 0 0 0 1 1 1 1 1 0 1 +1 0 1 1 0 0 0 1 0 1 0 0 1 +1 0 1 0 1 0 0 0 1 1 0 1 1 +0 0 1 1 1 1 0 0 1 0 0 1 0 +1 0 0 1 0 1 0 0 1 1 0 1 1 +0 1 1 0 1 0 0 1 0 1 0 1 1 +1 1 0 1 0 1 1 1 1 1 1 0 0 +1 1 0 0 0 0 0 1 1 0 0 0 0 +0 0 1 1 1 1 1 0 0 1 0 1 0 +1 1 0 1 1 0 1 1 0 0 1 0 0 +0 0 0 1 0 0 0 0 1 0 0 0 0 +1 1 1 1 1 0 0 0 0 1 1 0 0 +0 1 0 0 0 0 1 0 1 1 0 0 1 +0 0 1 1 0 0 1 1 0 1 0 0 0 +1 0 0 1 1 1 0 1 1 0 0 1 1 +0 1 0 0 1 1 0 1 1 0 0 1 1 +1 1 0 1 1 0 1 1 0 1 1 1 0 +0 0 1 0 0 0 0 1 1 0 0 0 0 +0 1 1 0 0 1 1 0 0 0 0 1 1 +0 0 1 0 0 0 1 1 1 0 1 0 0 +1 0 1 0 0 0 1 1 0 0 1 1 1 +1 1 0 1 0 1 0 1 0 1 1 1 0 +1 0 0 0 1 1 0 1 0 1 1 0 1 +1 0 1 0 0 0 1 0 0 0 1 0 1 +1 1 1 0 1 1 1 1 0 1 0 0 0 +0 1 1 1 1 0 1 1 0 1 0 0 1 +0 0 1 0 1 1 0 0 1 1 0 0 0 +1 1 1 0 0 0 1 1 0 1 0 1 0 +0 0 1 1 0 1 0 0 1 1 1 0 0 +1 0 1 1 1 0 0 0 1 0 1 0 1 +1 0 0 1 1 1 0 0 0 0 0 0 1 +0 0 1 0 0 0 0 0 1 0 1 1 0 +1 1 0 1 0 1 1 0 1 0 1 0 0 +0 0 1 0 0 1 0 0 1 1 1 1 0 +0 1 1 1 0 0 1 1 0 1 0 0 1 +0 1 0 1 0 0 0 1 1 1 1 1 1 +0 0 1 0 1 0 1 0 1 0 1 0 0 +0 1 1 1 1 0 1 0 0 1 0 1 1 +1 0 0 0 0 1 1 1 1 0 1 1 1 +1 0 1 0 0 0 0 0 0 1 1 0 1 +0 0 1 1 0 1 1 1 0 1 1 0 0 +0 0 0 1 0 1 1 1 0 0 1 1 0 +1 0 0 1 1 1 1 0 0 0 1 1 1 +1 0 1 1 0 1 0 0 0 1 0 1 1 +1 0 1 1 1 1 0 1 0 0 0 0 1 +0 0 1 1 1 1 1 0 1 0 0 1 0 +1 0 1 0 1 0 0 0 1 1 1 1 1 +0 0 1 1 1 1 1 1 0 0 0 0 0 +1 0 1 1 1 1 1 0 1 1 1 0 1 +0 1 1 0 1 0 1 0 1 0 1 0 1 +1 1 0 1 0 0 0 0 0 0 1 1 0 +0 0 0 1 0 0 1 1 1 1 1 0 0 +1 0 1 0 0 0 1 0 1 0 0 0 1 +1 1 0 0 1 1 1 1 0 1 1 1 0 +1 1 0 0 1 0 0 0 1 1 1 1 0 +1 0 0 1 0 1 0 0 0 0 1 1 1 +1 0 1 1 1 0 0 1 0 1 1 0 1 +1 1 0 1 1 0 0 1 0 1 1 1 0 +0 1 0 1 0 0 1 0 0 0 0 1 1 +1 1 1 1 1 0 0 0 1 0 0 0 0 +1 0 1 1 1 0 1 1 1 0 1 1 1 +0 1 1 0 1 1 0 1 1 1 0 0 1 +0 0 0 1 0 0 1 0 1 0 0 1 0 +1 0 1 1 0 1 1 1 1 1 0 0 1 +0 1 0 1 1 0 0 1 0 1 0 0 1 +0 0 0 1 0 0 1 0 1 0 0 0 0 +0 1 1 1 0 0 1 1 0 1 1 0 1 +1 1 0 1 0 1 0 0 1 1 0 1 0 +1 0 0 1 0 1 1 1 0 1 0 0 1 +1 0 0 0 0 1 0 1 0 0 0 0 1 +1 0 1 1 1 1 0 0 1 1 1 1 1 +1 1 0 0 1 1 0 0 0 0 1 1 0 +1 0 0 1 0 0 0 0 1 1 0 0 1 +1 1 1 0 0 0 0 0 0 0 1 0 0 +0 1 1 0 1 1 0 0 1 1 0 1 1 +0 0 1 1 0 0 0 0 0 0 0 1 0 +1 1 1 1 1 0 1 0 0 1 1 1 0 +1 0 0 0 1 1 1 0 1 1 1 0 1 +0 0 1 1 0 0 0 0 0 1 0 1 0 +0 1 0 1 1 1 0 1 1 1 1 1 1 +0 1 1 1 0 1 0 1 1 1 1 0 1 +1 1 0 1 1 0 1 0 1 0 1 0 0 +0 0 0 0 1 0 1 1 1 0 0 1 0 +1 0 0 1 1 1 0 0 0 0 1 0 1 +0 0 0 1 0 1 1 0 1 0 0 0 0 +0 1 0 0 1 1 0 0 1 0 0 0 1 +0 0 1 0 0 0 1 1 1 0 0 0 0 +1 0 0 1 0 1 0 0 1 1 1 0 1 +1 1 1 0 0 0 0 0 1 0 0 1 0 +1 1 1 0 0 1 0 0 0 1 0 1 0 +1 1 1 1 1 0 1 0 1 1 0 0 0 +1 1 0 0 1 0 1 1 1 0 0 1 0 +0 1 0 1 1 1 1 0 1 1 0 1 1 +1 1 0 1 0 0 0 1 0 1 1 1 0 +1 1 1 0 0 1 0 0 1 1 0 0 0 +0 1 1 0 0 1 1 1 0 1 1 0 1 +0 0 1 1 0 1 1 1 1 0 0 1 0 +1 0 1 1 1 0 0 1 0 0 0 1 1 +1 1 1 0 0 0 1 1 0 0 0 1 0 +0 1 1 0 0 1 0 1 1 1 1 0 1 +1 1 0 0 0 1 0 0 1 0 0 0 0 +1 0 0 1 1 1 1 0 1 0 1 1 1 +1 1 1 0 0 0 1 1 1 1 1 0 0 +0 1 1 0 0 0 1 1 0 1 0 1 1 +0 1 1 0 0 0 1 0 1 1 1 0 1 +0 0 1 1 1 0 1 0 0 0 0 0 0 +1 1 1 1 1 0 0 1 1 0 1 0 0 +1 0 0 1 0 1 1 1 0 0 0 0 1 +1 1 0 0 0 0 0 0 1 0 0 1 0 +1 1 0 1 0 1 0 1 0 1 0 0 0 +0 1 1 1 0 0 1 0 0 1 0 0 1 +1 0 0 0 0 0 0 0 0 0 0 1 1 +1 0 1 0 0 0 0 0 0 0 1 0 1 +1 1 0 0 1 0 0 1 1 0 0 0 0 +0 0 0 1 0 1 0 1 0 0 0 0 0 +0 1 0 1 1 0 1 1 1 0 0 1 1 +1 1 0 1 1 1 0 1 1 1 1 1 0 +1 0 1 1 0 1 0 0 0 1 0 0 1 +1 1 0 1 0 0 0 0 0 1 0 1 0 +0 0 1 1 1 0 1 1 0 0 1 1 0 +1 1 1 0 0 1 0 0 0 0 0 1 0 +1 0 1 1 0 0 1 0 1 0 0 0 1 +0 1 1 1 0 1 1 1 0 0 1 1 1 +0 0 0 1 0 0 1 0 1 1 1 1 0 +1 0 1 0 0 1 1 1 0 0 0 0 1 +0 1 0 0 0 0 1 1 0 1 0 0 1 +1 1 0 1 0 1 0 1 0 0 1 1 0 +0 0 0 1 0 1 1 0 0 0 1 0 0 +1 1 1 1 1 0 0 1 1 0 0 1 0 +0 1 0 1 0 0 1 1 1 1 1 0 1 +1 0 1 0 0 0 1 1 1 0 0 1 1 +1 1 1 1 1 0 0 1 0 0 1 0 0 +1 0 1 0 1 1 0 1 0 0 0 1 1 +1 0 0 1 1 0 0 1 0 0 0 1 1 +0 1 0 1 0 0 1 1 0 0 1 0 1 +1 0 0 0 0 1 0 1 0 1 0 1 1 +1 1 1 1 0 1 1 1 0 0 0 1 0 +1 0 0 1 1 0 1 1 1 0 1 1 1 +0 1 0 1 0 1 1 1 0 0 1 1 1 +1 1 0 1 1 1 0 1 1 0 0 0 0 +1 0 0 0 0 1 1 1 0 0 1 0 1 +0 0 1 1 1 0 1 1 0 1 0 0 0 +1 1 1 0 0 0 0 0 0 0 0 0 0 +1 0 1 1 0 1 0 1 1 0 0 0 1 +1 0 1 1 0 1 0 0 1 0 1 1 1 +1 0 1 0 0 0 1 0 1 1 0 1 1 +1 1 0 1 0 1 1 1 0 1 0 1 0 +0 1 1 1 1 1 0 0 0 1 0 1 1 +1 0 1 0 1 1 1 0 1 0 0 0 1 +1 1 0 0 1 1 0 0 1 1 0 1 0 +1 0 0 0 0 0 0 1 0 0 0 0 1 +1 0 0 1 0 1 0 0 1 0 0 1 1 +0 1 0 1 1 1 0 0 1 0 1 1 1 +0 0 0 1 1 1 1 1 0 0 1 1 0 +0 1 0 1 1 0 0 1 1 1 1 1 1 +0 0 1 1 1 1 0 1 1 1 1 1 0 +1 0 1 0 0 0 0 0 0 0 1 1 1 +0 1 1 0 0 0 0 0 1 1 1 0 1 +1 1 1 1 0 1 1 1 1 0 0 0 0 +0 1 1 1 0 1 1 1 0 1 1 0 1 +0 0 1 0 0 0 1 0 0 1 1 1 0 +0 1 0 0 0 0 1 1 0 0 0 1 1 +1 0 0 1 1 0 1 1 0 0 1 1 1 +1 0 1 0 0 1 0 1 0 1 1 0 1 +1 1 0 1 0 1 0 0 0 0 0 0 0 +0 0 0 0 0 1 0 1 1 1 1 1 0 +1 1 1 0 1 0 1 0 0 1 1 0 0 +0 0 1 0 1 1 0 1 1 1 0 1 0 +0 0 1 0 1 0 1 1 0 0 1 1 0 +1 1 1 0 1 0 0 0 0 0 1 1 0 +1 1 0 0 1 0 1 1 1 0 0 1 0 +0 0 0 1 0 0 0 1 1 1 0 0 0 +0 1 1 1 0 0 0 1 0 1 1 1 1 +1 1 0 1 0 1 1 1 0 1 0 0 0 +1 1 0 0 1 0 1 1 1 1 0 1 0 +0 0 1 1 1 0 1 1 1 1 0 1 0 +0 0 1 1 1 1 1 1 1 1 1 1 0 +0 1 0 0 0 1 0 1 0 0 0 0 1 +1 0 1 1 1 0 1 1 0 1 0 1 1 +1 0 1 1 1 0 0 1 1 0 0 1 1 +0 1 1 1 0 0 0 0 0 0 1 0 1 +1 0 1 0 0 0 1 1 0 0 0 0 1 +0 1 1 0 1 1 0 1 0 0 0 1 1 +0 0 1 1 1 0 1 0 1 0 0 1 0 +1 1 1 1 0 0 0 1 1 0 0 0 0 +1 1 0 0 1 0 0 1 0 0 0 0 0 +0 1 0 1 0 0 1 1 1 1 0 1 1 +0 1 1 0 1 1 1 1 0 1 0 0 1 +0 0 0 0 1 1 1 1 1 1 1 0 0 +0 0 1 0 1 1 0 1 0 0 1 0 0 +0 1 1 0 1 1 0 1 0 1 1 1 1 +0 0 1 0 0 0 0 0 1 1 0 1 0 +0 1 0 0 0 1 1 0 1 0 1 1 1 +1 0 1 0 0 1 1 0 0 1 0 0 1 +0 1 1 0 1 1 0 0 1 1 1 0 1 +0 0 0 0 0 0 1 1 0 1 1 0 0 +1 1 1 1 0 0 1 0 1 0 1 0 0 +1 0 0 0 0 0 1 0 0 0 0 0 1 +1 0 0 0 0 0 0 0 1 1 1 0 1 +1 1 1 0 1 0 0 1 0 1 1 1 0 +0 1 0 0 1 1 0 0 1 1 1 0 1 +0 0 0 0 0 0 1 0 1 1 0 0 0 +1 0 1 0 1 1 0 0 0 1 0 1 1 +1 0 0 1 0 1 0 1 1 1 0 1 1 +1 0 0 1 1 1 0 1 1 0 0 0 1 +1 0 1 1 0 1 0 1 1 0 0 1 1 +0 0 0 0 1 1 0 0 0 1 1 0 0 +0 0 1 1 1 0 0 0 0 0 1 1 0 +0 0 1 0 1 0 1 1 1 1 1 1 0 +1 0 1 1 1 1 1 0 0 1 1 1 1 +0 1 0 1 0 1 0 0 1 0 1 0 1 +1 1 0 1 1 0 1 0 1 0 1 1 0 +0 1 0 1 1 0 1 0 1 1 1 0 1 +0 1 0 1 0 1 1 0 1 0 1 1 1 +1 1 0 1 0 1 0 1 0 1 0 0 0 +0 1 0 1 1 1 1 1 0 1 0 1 1 +1 1 1 0 1 1 0 0 0 1 1 1 0 +0 0 1 0 1 0 1 1 1 1 1 0 0 +1 1 0 1 1 0 0 0 0 0 0 0 0 +1 1 1 1 0 0 0 1 0 0 0 1 0 +1 1 0 1 0 0 1 0 1 0 0 0 0 +0 0 1 1 0 0 1 1 0 1 0 1 0 +0 1 0 1 0 0 1 0 0 0 1 0 1 +0 1 0 0 0 1 0 1 0 0 1 1 1 +0 0 1 0 0 0 0 0 1 0 1 0 0 +0 1 0 0 0 0 1 1 0 0 0 0 1 +0 0 0 0 0 1 0 1 0 0 1 1 0 +0 1 0 0 0 0 0 1 0 1 0 1 1 +0 1 0 0 1 0 1 1 1 0 0 1 1 +0 0 1 1 0 0 0 1 0 0 1 1 0 +0 1 1 0 1 1 1 1 0 1 1 1 1 +0 1 1 0 0 1 1 1 0 1 1 1 1 +0 1 1 1 1 0 0 1 1 0 1 1 1 +1 1 0 0 1 0 0 0 1 1 0 0 0 +1 0 1 1 0 1 1 1 0 0 0 0 1 +1 0 0 1 1 0 1 0 1 1 0 1 1 +1 0 1 1 1 0 0 0 0 0 0 1 1 +0 0 0 1 0 1 0 1 1 1 0 1 0 +1 0 1 0 0 0 1 1 1 1 0 1 1 +1 0 1 1 0 1 0 1 0 1 0 1 1 +0 1 1 0 0 1 0 1 1 1 1 0 1 +1 1 1 0 0 0 1 1 0 0 0 0 0 +1 0 0 0 1 1 1 0 0 1 1 1 1 +0 0 0 0 1 0 1 0 0 0 1 1 0 +0 0 0 0 0 1 1 1 0 1 1 0 0 +0 0 0 1 0 1 0 1 1 0 1 1 0 +0 1 0 1 1 0 1 1 0 0 0 1 1 +0 0 0 1 1 1 0 0 0 0 1 0 0 +0 0 0 0 1 1 1 1 0 0 1 0 0 +1 1 1 1 0 1 1 0 1 1 0 1 0 +0 1 1 1 1 1 0 1 0 1 0 1 1 +0 1 0 0 1 0 0 0 1 1 0 1 1 +1 1 1 1 1 0 0 0 0 0 0 0 0 +1 0 1 0 1 1 1 1 0 1 0 0 1 +0 0 0 0 0 1 1 0 1 1 0 0 0 +1 1 1 1 1 1 0 1 0 1 0 1 0 +1 0 1 1 0 0 0 0 1 1 1 1 1 +0 1 0 1 0 1 1 0 1 0 0 0 1 +1 0 0 0 0 1 0 1 1 1 0 0 1 +1 1 1 1 0 1 1 0 1 0 1 0 0 +0 0 0 0 1 1 1 1 0 1 1 1 0 +1 1 1 0 1 0 0 1 1 0 1 1 0 +1 1 1 0 0 0 1 0 0 1 0 1 0 +0 0 0 0 0 1 1 1 0 1 1 1 0 +1 0 0 1 1 0 1 0 0 1 0 0 1 +1 0 1 0 1 0 1 1 0 1 1 1 1 +1 1 1 0 1 0 1 1 1 0 0 0 0 +1 1 0 1 1 0 1 1 0 0 1 0 0 +0 1 0 0 0 0 0 1 1 0 1 0 1 +1 1 0 1 0 0 0 1 1 1 1 1 0 +1 1 0 0 0 0 0 0 0 0 1 1 0 +0 1 1 1 0 0 1 0 0 1 1 1 1 +0 1 0 0 0 1 1 1 0 1 0 0 1 +1 0 1 0 0 1 0 0 1 0 0 0 1 +1 0 1 1 0 1 1 0 1 0 0 1 1 +0 1 0 0 1 0 0 1 0 0 1 0 1 +0 1 0 1 1 0 0 1 1 0 0 1 1 +1 0 0 0 0 0 1 1 0 1 1 1 1 +0 0 1 1 1 0 1 1 1 1 1 1 0 +0 1 1 0 0 0 1 0 0 1 1 1 1 +0 0 0 1 0 1 0 0 0 1 0 0 0 +1 1 0 0 0 1 1 0 1 0 0 0 0 +0 1 1 1 1 0 1 1 1 0 1 0 1 \ No newline at end of file diff --git a/tests/data/NoisyXORTrainingData.txt b/tests/data/NoisyXORTrainingData.txt new file mode 100644 index 0000000..3c1061c --- /dev/null +++ b/tests/data/NoisyXORTrainingData.txt @@ -0,0 +1,5000 @@ +0 1 1 0 0 0 0 1 1 1 1 0 0 +0 1 0 1 1 1 0 1 1 1 1 0 1 +0 0 1 1 0 0 0 1 1 1 1 1 1 +0 1 0 0 1 1 0 1 0 0 0 0 1 +0 0 0 0 0 1 1 1 0 1 1 0 1 +0 0 1 0 1 0 0 1 1 1 0 0 1 +1 0 1 1 1 0 0 0 0 1 1 1 0 +0 0 0 1 0 0 1 1 1 0 0 1 1 +1 1 0 0 0 0 0 0 0 0 1 0 0 +0 0 0 0 0 0 0 1 0 1 1 1 1 +1 0 0 1 0 1 0 1 0 1 1 0 0 +1 1 0 0 1 1 1 1 1 1 0 1 0 +0 0 1 1 0 0 0 1 1 0 1 0 0 +1 1 1 1 1 0 1 0 1 0 0 0 0 +1 1 0 0 1 0 1 0 0 0 1 1 0 +0 1 0 1 1 1 1 1 0 0 1 1 1 +0 1 0 0 1 0 0 0 1 1 0 0 0 +1 0 1 1 1 1 1 1 1 0 1 0 1 +0 1 0 1 1 0 1 0 1 1 1 1 1 +0 0 1 0 1 1 0 0 1 0 0 0 1 +1 1 1 1 1 0 1 0 1 0 1 0 0 +1 0 0 1 1 0 1 0 0 0 0 1 1 +1 0 0 1 1 1 0 0 0 1 0 1 1 +0 0 0 1 0 1 0 1 1 1 1 0 1 +0 0 0 1 0 1 1 1 0 1 1 1 0 +0 0 1 0 0 1 1 1 0 1 0 0 0 +0 1 0 0 0 1 1 1 0 0 0 0 0 +0 1 0 0 0 0 0 1 0 1 0 1 0 +1 0 1 1 1 0 1 1 1 1 1 1 1 +1 0 1 0 0 0 1 0 1 1 1 0 0 +0 0 0 0 1 1 1 0 1 1 1 0 0 +1 1 0 0 0 1 1 1 0 1 0 1 0 +0 1 1 1 0 0 0 1 0 1 1 0 0 +0 0 0 1 0 1 1 1 0 1 0 0 1 +1 0 0 1 0 1 0 0 1 1 0 0 0 +1 1 1 1 0 1 0 0 0 1 1 1 0 +1 0 0 0 0 1 0 0 1 0 0 0 0 +0 0 0 0 0 0 0 0 0 0 1 1 0 +1 1 0 1 0 0 1 1 0 0 1 1 1 +0 0 0 0 1 0 0 1 1 1 1 0 1 +1 1 0 0 1 1 0 0 1 0 1 0 1 +1 1 0 0 1 1 0 0 1 0 1 1 0 +0 1 0 0 1 0 0 1 1 1 0 0 0 +0 1 1 1 0 1 0 0 1 0 1 1 0 +0 1 1 0 0 0 1 1 0 0 0 1 0 +0 1 0 0 1 0 1 0 1 1 1 0 0 +1 1 1 0 1 1 1 1 1 1 0 1 0 +1 0 0 0 0 0 0 1 0 0 0 1 1 +1 1 0 0 1 0 1 0 0 0 1 1 0 +0 1 0 1 0 1 1 1 0 1 1 1 1 +1 0 0 1 0 0 1 1 1 1 1 1 1 +1 1 1 1 1 1 0 0 0 0 0 1 0 +0 0 1 0 1 1 0 0 0 0 1 0 0 +0 1 1 0 1 1 0 1 0 0 0 0 1 +0 0 0 1 0 0 0 0 1 0 1 1 0 +0 1 1 0 1 0 0 0 1 1 1 1 1 +0 1 0 1 1 1 1 0 1 0 1 1 1 +0 0 1 1 0 0 1 0 1 0 1 0 0 +1 1 0 0 1 1 0 1 1 1 0 0 1 +1 1 1 0 1 1 0 1 0 1 0 0 1 +1 1 1 1 1 0 1 1 0 0 0 0 0 +0 0 1 0 1 1 1 1 0 0 1 1 0 +1 0 1 1 0 1 0 0 1 0 1 0 1 +0 1 1 1 1 0 0 0 0 1 0 1 0 +0 1 0 0 1 0 0 0 0 0 0 0 1 +1 1 1 1 0 1 0 1 0 1 1 0 0 +1 1 0 0 1 0 1 0 1 0 0 0 1 +1 0 1 1 1 1 1 0 1 1 1 1 1 +0 1 0 0 0 0 1 1 0 1 0 1 0 +1 1 0 0 0 1 0 1 0 1 1 1 0 +1 0 0 1 1 0 0 0 1 1 1 0 0 +1 1 0 0 0 0 0 0 0 0 1 1 0 +0 0 1 1 0 1 1 0 1 1 1 0 0 +1 1 0 0 1 0 1 0 1 1 0 1 1 +1 1 1 1 0 0 1 0 1 1 1 0 1 +0 1 0 0 0 1 0 0 0 1 1 0 1 +1 0 1 0 0 1 1 1 0 0 0 0 0 +0 0 1 0 0 1 1 0 1 0 0 0 0 +0 1 0 1 0 0 0 0 0 1 1 1 1 +1 0 1 1 0 0 1 1 0 1 1 1 1 +0 0 1 1 0 1 0 0 0 0 1 0 0 +1 0 1 0 1 0 1 1 0 1 0 1 0 +0 1 1 0 1 0 1 0 0 0 0 0 1 +1 0 0 0 1 1 1 0 1 1 1 1 0 +0 1 1 1 0 0 0 1 0 0 0 0 0 +0 1 1 1 1 0 1 1 0 1 0 1 1 +0 1 1 0 0 1 0 0 1 1 1 0 1 +1 1 1 0 1 1 1 0 0 0 1 0 1 +0 1 1 1 0 1 0 0 0 1 0 1 1 +1 0 1 1 0 0 0 0 0 1 0 0 0 +1 1 1 0 1 0 1 1 1 0 1 1 0 +0 1 1 0 1 1 0 0 1 1 1 1 0 +1 1 0 0 1 1 1 0 0 0 0 1 0 +0 1 1 0 0 0 1 1 1 1 0 1 0 +1 1 1 0 0 1 0 0 1 0 1 0 1 +1 0 1 1 0 0 0 0 1 0 1 0 1 +1 0 1 1 0 1 0 0 0 0 1 0 1 +1 1 0 1 1 1 1 1 1 1 1 0 0 +0 0 0 1 0 1 1 1 1 0 0 0 0 +1 0 1 0 1 1 1 0 1 1 0 0 1 +0 0 1 1 0 0 1 0 1 0 0 1 1 +1 1 1 0 0 1 1 1 1 1 1 1 1 +0 0 0 0 1 0 0 1 0 0 0 1 0 +0 1 1 1 0 1 0 1 1 1 0 0 0 +1 1 0 1 0 1 1 1 0 1 1 1 1 +0 0 0 0 1 1 0 0 0 0 0 0 0 +1 1 1 1 1 0 0 0 0 0 1 0 0 +0 0 1 1 0 1 1 1 0 0 0 1 1 +0 1 0 0 1 0 0 0 0 1 0 0 1 +0 1 0 1 1 0 1 1 0 1 0 1 0 +0 1 0 1 1 1 0 0 0 0 1 0 1 +1 1 1 1 0 1 1 0 0 1 1 1 1 +0 1 1 1 1 0 0 1 1 1 0 0 0 +1 1 1 0 0 1 1 0 0 0 0 1 0 +1 1 0 1 0 0 0 1 0 0 1 0 0 +1 1 1 0 0 0 0 0 1 1 1 0 1 +1 1 0 0 1 0 0 0 0 1 1 0 0 +0 1 1 0 1 1 1 1 0 1 0 0 0 +1 0 0 0 1 1 0 0 0 1 0 0 0 +0 0 1 0 0 0 1 0 0 0 0 1 1 +0 0 1 1 1 1 0 1 0 0 0 1 1 +1 0 1 0 0 1 1 1 0 1 1 0 0 +0 1 1 0 1 1 0 1 0 1 1 0 0 +0 1 1 1 0 1 1 0 1 1 0 1 1 +1 0 0 1 1 1 1 1 1 0 1 0 0 +0 1 1 0 0 1 0 0 0 1 0 0 0 +1 1 0 1 1 1 0 1 0 0 0 0 1 +0 0 1 0 0 1 1 1 1 0 0 0 0 +0 0 1 0 1 0 1 1 0 1 1 0 0 +1 1 0 1 0 1 1 1 0 0 1 1 0 +1 0 0 0 1 1 0 0 0 0 0 0 1 +0 0 0 1 1 1 1 1 0 1 0 0 1 +1 0 0 1 1 1 0 0 1 1 1 1 1 +1 0 1 0 0 1 0 0 0 1 0 0 1 +1 1 1 0 1 0 1 1 0 1 1 0 1 +0 1 1 1 0 0 1 0 1 0 0 0 0 +0 0 0 0 0 0 1 0 0 1 1 1 1 +1 0 1 1 0 0 1 0 1 0 1 0 1 +0 1 1 0 0 1 1 1 0 0 1 1 1 +0 1 1 1 1 1 0 1 0 1 0 0 1 +0 1 1 1 0 1 1 0 1 0 1 1 0 +1 1 1 0 1 0 1 1 1 0 0 1 0 +1 0 0 1 1 1 0 1 1 1 1 1 0 +1 0 0 1 0 0 1 1 0 1 0 0 1 +0 0 0 0 1 0 0 1 0 1 0 1 1 +1 0 1 1 0 1 0 0 0 1 0 1 1 +1 0 1 0 1 1 1 1 1 1 0 1 0 +1 0 0 1 1 1 0 0 0 1 0 1 1 +0 1 0 1 1 1 1 0 0 0 0 1 0 +0 1 1 0 1 1 0 1 1 1 0 0 0 +0 0 1 0 0 1 0 0 1 1 0 1 0 +1 1 1 1 0 0 0 1 1 0 0 1 1 +0 0 1 0 1 0 0 1 1 1 1 0 1 +0 1 1 1 0 1 0 1 1 1 0 1 0 +0 0 0 0 0 1 1 0 1 0 0 0 1 +0 0 0 0 0 0 1 0 1 0 1 0 1 +1 1 1 0 1 0 0 0 0 1 1 0 0 +1 0 1 0 0 0 0 0 0 0 1 0 0 +1 0 1 1 1 1 1 1 0 1 1 0 0 +0 1 0 0 1 1 1 1 0 1 0 0 1 +1 0 0 1 1 1 0 1 0 0 1 1 1 +0 0 0 1 1 1 1 0 0 0 1 1 0 +1 1 0 0 1 1 0 0 1 1 1 1 1 +0 0 0 0 0 0 0 1 1 0 1 1 0 +0 1 0 1 1 1 0 1 0 1 1 1 1 +1 0 0 0 1 1 1 1 0 1 0 1 1 +1 1 1 1 0 0 0 0 1 1 0 1 0 +1 0 0 1 1 0 1 1 0 0 0 1 1 +0 0 1 1 0 0 1 0 1 0 0 1 0 +0 0 0 0 0 0 1 1 0 0 1 0 0 +0 0 0 1 0 1 0 0 0 1 1 0 0 +1 1 0 0 1 1 0 0 0 1 1 1 0 +0 1 1 1 0 1 0 0 1 1 1 0 0 +0 1 1 0 1 0 0 0 0 0 1 0 0 +1 1 1 1 1 0 1 1 0 0 1 1 1 +1 1 0 0 1 1 1 1 0 1 1 0 0 +0 1 1 0 1 1 0 0 1 1 0 0 0 +0 1 0 1 0 1 0 1 1 0 1 0 1 +1 0 0 1 0 0 1 0 1 1 1 0 1 +0 0 0 1 1 0 1 1 1 0 0 1 0 +0 0 0 1 1 0 0 1 1 1 0 1 0 +0 0 0 0 0 1 1 1 1 1 0 1 0 +0 0 0 0 0 0 1 0 1 0 1 0 0 +1 0 1 1 0 1 1 1 1 0 1 1 1 +1 1 1 1 1 0 1 0 1 0 1 1 0 +0 0 0 0 1 0 1 1 0 1 0 0 1 +1 0 1 0 0 0 0 0 1 1 1 0 1 +1 1 1 0 1 1 1 0 1 0 1 1 1 +0 1 1 0 0 1 1 1 1 1 1 1 1 +1 0 1 1 0 0 1 1 1 0 1 1 1 +1 1 1 1 1 0 0 1 0 0 0 1 1 +0 0 1 1 0 1 0 0 1 0 1 1 1 +0 0 0 0 1 1 0 1 1 1 1 0 1 +0 1 0 1 0 0 0 1 0 1 0 1 1 +1 0 0 0 1 1 1 0 1 1 1 0 1 +1 0 1 1 1 0 0 1 1 0 0 0 0 +1 1 1 0 1 1 1 1 0 0 1 1 0 +1 0 0 1 1 1 1 0 0 0 1 1 1 +1 0 0 1 1 1 1 0 1 0 1 1 1 +0 0 1 1 0 0 1 0 0 0 1 0 1 +1 0 0 0 0 1 1 0 0 1 1 1 1 +1 1 0 1 1 1 0 1 0 1 1 0 0 +0 1 1 0 1 0 0 0 1 0 1 0 1 +0 0 0 0 0 0 0 0 1 0 1 1 1 +1 1 1 1 0 1 1 1 0 1 1 0 0 +1 0 0 0 1 1 0 0 1 1 1 0 0 +1 1 1 0 0 1 1 0 1 0 0 0 0 +0 1 1 0 1 0 1 1 0 1 1 1 1 +1 1 0 1 1 1 0 0 0 1 0 1 0 +1 0 1 1 0 0 1 0 1 1 0 1 0 +0 0 1 0 0 1 1 1 0 1 0 1 1 +1 0 0 0 0 1 1 0 0 1 1 0 0 +1 0 0 1 1 1 0 1 1 1 1 0 1 +0 1 1 0 1 0 0 1 1 1 0 0 0 +1 1 1 1 0 0 1 1 0 1 1 0 0 +1 1 1 1 0 0 0 0 1 0 1 1 0 +1 0 1 0 1 1 1 0 1 0 1 1 1 +0 1 1 0 0 0 1 0 0 1 0 0 1 +0 0 1 1 1 1 0 1 0 1 1 0 0 +1 0 1 0 0 0 1 1 0 0 0 0 0 +1 1 0 0 0 0 0 0 0 1 1 0 1 +1 1 1 0 1 1 0 1 1 0 0 0 0 +0 0 1 0 0 0 1 0 1 1 0 0 0 +0 0 0 0 1 0 1 0 1 1 1 0 1 +1 0 1 0 1 0 1 0 0 0 1 0 1 +1 0 0 1 1 0 1 1 1 1 1 1 1 +1 1 1 1 0 1 1 0 1 0 1 1 1 +0 0 0 0 0 0 0 1 1 0 1 1 0 +0 1 0 0 0 1 0 0 0 0 0 0 0 +0 1 1 1 0 0 1 0 1 0 1 0 1 +0 0 0 0 1 1 1 1 1 1 0 0 0 +1 1 1 0 0 0 1 1 1 0 0 0 0 +0 1 1 0 1 0 1 0 1 1 1 1 1 +1 0 1 1 0 1 1 0 1 1 0 0 0 +1 0 1 1 1 0 0 1 1 0 1 1 0 +0 0 1 0 0 1 0 0 0 1 1 1 0 +1 1 0 0 1 0 0 0 0 1 0 0 0 +1 1 1 0 1 0 0 0 1 1 1 1 1 +1 0 0 0 1 0 0 0 1 1 1 1 1 +0 0 0 0 1 0 0 1 0 1 1 1 0 +1 0 0 0 0 1 0 0 0 0 0 1 0 +0 1 1 1 1 1 1 0 0 0 0 1 0 +0 1 0 0 0 0 1 1 1 0 1 1 1 +0 0 0 1 1 0 0 0 1 1 1 0 0 +1 0 1 1 1 0 1 1 1 1 1 1 1 +0 0 1 1 0 0 0 0 0 1 0 1 0 +0 0 1 1 0 0 0 0 0 0 0 1 0 +0 1 0 0 0 0 1 1 1 1 0 1 1 +0 1 1 1 0 1 0 0 0 1 1 1 0 +0 0 0 1 0 0 0 0 1 0 0 0 0 +0 0 1 1 1 0 0 0 1 1 0 0 0 +0 1 0 1 0 1 0 0 0 1 0 0 1 +0 0 0 0 1 1 0 1 1 1 0 1 1 +1 0 0 0 1 1 0 0 1 0 1 0 1 +0 0 0 0 0 1 1 1 1 0 0 0 0 +1 1 1 0 1 0 0 1 0 1 0 0 0 +1 0 0 1 1 0 0 1 0 1 0 0 1 +0 0 1 0 0 0 0 1 1 0 0 0 0 +1 0 1 0 1 0 0 1 0 0 0 1 0 +1 1 1 0 1 0 0 1 0 0 0 1 0 +0 0 0 1 0 0 0 0 1 0 0 0 1 +1 0 1 0 1 1 0 1 1 0 0 0 0 +0 1 0 1 0 1 0 0 1 0 1 0 0 +0 1 0 0 0 1 1 0 1 1 1 1 1 +1 1 1 0 0 0 1 0 1 1 0 0 1 +0 1 0 0 0 1 0 1 0 0 0 1 1 +1 0 1 0 1 0 0 1 1 1 1 1 1 +1 1 0 1 0 1 1 0 1 1 1 1 1 +0 1 1 0 0 0 1 1 0 0 0 1 1 +1 0 1 0 0 0 1 0 1 0 0 0 0 +0 1 1 0 1 0 0 1 0 0 1 1 1 +1 1 1 1 0 0 0 0 1 0 0 0 0 +0 0 0 0 0 0 0 0 1 1 1 0 0 +1 1 0 1 1 0 1 1 1 1 0 0 1 +0 1 1 0 0 1 0 1 0 0 1 1 0 +0 1 1 1 1 1 0 0 0 0 1 0 1 +0 0 1 1 0 1 0 0 0 1 0 0 0 +0 0 1 1 1 1 0 0 0 1 1 1 1 +0 1 0 1 0 1 0 1 0 0 1 0 1 +0 1 1 1 1 1 0 0 1 0 0 0 1 +0 1 0 0 0 0 1 0 1 0 1 0 0 +1 0 0 1 0 1 1 0 1 0 1 1 0 +0 0 1 1 1 0 0 1 0 0 1 1 1 +0 1 1 1 0 1 1 0 1 0 0 1 1 +1 1 1 1 1 0 0 1 1 1 1 1 0 +0 0 1 1 1 1 0 0 0 0 0 0 0 +1 1 1 1 0 0 0 1 0 1 1 0 0 +1 1 0 0 0 0 1 1 0 1 0 0 0 +1 0 1 1 1 0 1 0 0 0 1 1 0 +1 1 0 1 1 1 1 1 0 1 0 0 1 +0 0 0 1 1 1 1 1 1 1 0 0 1 +1 1 0 1 1 1 0 1 1 0 0 0 0 +0 0 1 1 0 0 1 0 1 0 1 0 1 +1 1 1 0 1 0 0 1 0 0 1 0 1 +0 0 0 1 1 0 1 0 0 1 1 1 0 +0 0 1 0 1 0 1 0 0 0 1 1 1 +1 1 0 1 0 1 0 1 0 0 0 0 1 +1 0 1 1 1 1 0 0 0 0 1 0 1 +0 0 0 0 1 1 1 0 1 0 1 0 1 +1 0 1 1 1 0 1 1 1 1 0 0 0 +1 1 0 0 1 0 0 1 1 0 0 0 1 +0 1 0 0 1 0 1 1 1 1 1 1 1 +1 0 1 1 1 1 1 0 1 0 1 1 0 +1 0 0 1 0 0 0 1 0 1 1 0 1 +1 0 0 1 1 1 1 1 0 0 0 1 1 +1 0 0 0 1 0 1 1 1 1 1 0 1 +1 0 1 0 0 0 0 1 0 0 1 1 0 +1 0 1 0 0 0 1 1 0 1 1 1 1 +0 0 1 1 1 0 0 1 0 0 1 1 0 +0 1 1 1 1 0 0 1 0 0 1 1 0 +0 0 0 0 1 1 1 0 1 1 1 1 0 +1 0 1 0 1 0 0 1 0 1 1 0 0 +1 1 1 1 1 1 1 0 1 1 0 0 0 +1 0 0 1 0 0 0 0 0 0 0 0 1 +0 1 0 1 0 0 0 1 0 1 0 1 1 +1 0 0 0 0 0 0 1 1 1 1 0 0 +0 0 0 1 0 1 1 1 1 0 0 1 0 +0 0 0 1 1 1 0 0 0 0 0 1 0 +1 0 0 0 0 1 0 1 1 1 1 1 1 +0 0 1 0 1 0 1 0 1 0 1 0 1 +0 1 1 0 0 1 1 1 1 1 1 0 0 +1 1 0 0 0 1 1 0 1 1 0 0 1 +0 0 1 1 1 0 0 0 1 0 1 1 0 +1 0 1 0 1 1 1 0 0 0 0 1 1 +1 0 1 1 0 1 0 0 1 1 1 0 0 +1 0 0 0 1 0 0 1 1 0 1 0 1 +0 1 1 1 0 0 1 0 1 1 0 0 1 +0 0 0 1 0 1 1 0 0 0 0 0 1 +1 1 1 1 0 1 1 1 0 0 0 1 1 +1 1 1 0 0 1 1 1 0 0 0 1 0 +1 1 0 1 0 0 0 1 0 0 1 1 1 +1 0 1 1 0 0 1 0 1 0 0 1 1 +0 1 1 0 1 0 0 0 1 0 1 1 0 +0 0 1 0 1 1 0 1 0 0 0 0 0 +1 1 0 0 0 0 1 0 1 0 0 0 1 +0 1 0 0 0 1 1 0 1 0 1 0 1 +0 0 1 1 0 1 0 1 0 0 1 1 1 +1 0 0 0 0 1 1 0 0 0 1 1 0 +0 0 0 1 0 1 0 1 0 0 0 0 1 +1 0 0 0 1 1 0 0 1 1 0 1 1 +1 1 1 1 0 1 0 0 0 0 0 1 0 +0 0 0 0 1 1 0 0 1 0 0 1 1 +1 1 0 0 0 1 1 0 0 0 0 1 1 +0 0 0 1 1 0 0 0 1 1 1 0 0 +0 0 1 0 1 1 0 1 0 1 0 1 0 +0 1 0 0 0 0 0 0 1 0 1 1 1 +0 0 0 1 0 1 0 1 0 1 1 0 0 +0 1 0 1 1 0 1 0 1 0 0 1 1 +1 1 0 1 1 1 1 1 0 0 0 1 0 +1 1 0 1 0 0 1 1 0 0 1 1 0 +0 1 0 1 1 1 0 1 0 1 0 0 1 +1 1 1 1 0 0 1 0 1 1 0 0 0 +0 1 1 1 1 1 1 1 1 1 1 1 0 +1 1 1 1 1 1 1 1 1 0 1 1 1 +0 1 1 0 0 0 1 1 1 0 0 0 0 +1 1 1 1 1 1 1 1 0 0 0 1 0 +1 1 1 1 0 0 0 0 0 0 0 0 1 +0 1 0 0 1 1 0 0 0 0 0 1 1 +1 1 1 1 1 1 0 0 0 0 1 1 0 +1 0 1 0 0 1 0 0 0 1 1 1 0 +1 1 0 1 1 0 1 0 0 1 1 1 0 +0 0 0 0 0 1 0 0 1 0 1 0 0 +0 1 1 1 1 0 0 1 0 0 0 0 0 +1 0 0 0 1 1 0 0 0 1 1 0 0 +1 0 1 0 1 1 1 1 1 0 0 0 1 +0 1 1 0 0 0 0 0 1 1 0 0 1 +0 1 1 1 0 0 1 0 1 1 0 0 0 +1 0 1 0 0 0 0 0 1 1 1 0 1 +1 1 1 0 1 1 1 1 1 1 0 0 0 +0 1 0 1 1 0 1 1 0 1 0 1 0 +1 0 1 1 1 0 0 0 0 0 0 0 1 +1 0 1 1 0 1 1 1 0 1 1 1 0 +0 0 1 1 1 1 0 1 0 0 1 1 1 +0 1 0 0 1 0 0 1 0 0 1 1 1 +1 0 1 1 1 1 0 0 0 0 0 1 1 +0 1 1 0 1 1 0 1 0 1 1 0 1 +0 0 0 0 1 1 0 0 0 0 0 0 0 +0 0 0 1 0 0 0 0 1 0 0 1 0 +1 1 1 1 1 0 1 0 1 1 0 1 1 +0 0 1 1 0 1 0 1 1 1 1 1 1 +1 1 1 1 0 1 1 1 1 1 1 1 1 +1 1 1 0 0 1 1 1 0 1 1 0 0 +0 1 1 1 0 0 1 1 0 0 0 1 1 +1 1 1 0 1 1 0 0 1 1 0 0 0 +0 1 1 1 0 0 1 1 1 0 0 1 1 +0 1 1 0 1 0 0 0 0 0 1 1 0 +0 1 0 0 1 0 0 0 1 0 0 0 1 +1 1 1 1 1 0 1 0 0 0 1 0 1 +1 1 1 1 0 1 0 0 0 1 1 1 0 +1 0 0 1 1 0 1 1 0 0 0 0 1 +0 1 1 1 0 1 1 0 0 0 1 0 1 +1 1 1 0 0 0 0 0 0 1 0 0 0 +0 0 0 1 1 0 1 1 0 1 0 1 1 +0 0 0 1 0 1 1 0 1 1 1 1 0 +0 1 1 1 1 0 0 0 1 1 0 0 0 +0 0 0 0 0 1 1 0 0 1 0 0 0 +0 0 0 0 1 1 0 0 1 0 0 0 1 +1 1 1 1 0 1 0 0 1 0 0 0 0 +1 1 0 0 0 0 0 0 0 1 1 1 1 +0 1 1 0 1 1 1 1 1 1 0 1 1 +1 0 0 0 1 0 1 1 0 0 1 1 1 +1 0 0 0 0 0 0 1 0 1 0 0 1 +0 0 0 0 1 1 0 0 1 0 0 1 0 +1 1 0 0 1 0 0 1 1 1 1 0 1 +0 1 0 1 0 1 1 1 0 1 1 1 1 +1 1 1 1 1 1 0 1 0 1 0 1 1 +0 1 1 0 1 0 1 1 0 0 0 1 0 +0 1 1 0 0 0 1 1 0 0 0 1 0 +0 0 1 0 0 0 0 0 0 0 1 1 1 +1 1 0 0 1 1 1 1 0 0 0 0 0 +1 1 0 0 0 0 1 0 0 0 0 1 1 +1 0 0 0 1 1 1 0 0 1 0 0 1 +1 0 1 0 0 1 1 0 0 0 0 0 0 +0 1 1 1 1 0 1 1 1 0 1 1 1 +0 0 1 1 1 0 1 1 1 1 0 0 0 +0 0 1 0 1 0 1 1 0 1 1 0 0 +1 0 1 1 0 1 0 0 1 1 0 0 1 +0 0 0 0 1 0 0 0 0 1 0 1 0 +1 1 1 0 0 0 0 1 0 0 0 1 0 +0 0 1 0 0 1 1 1 1 1 1 0 1 +1 1 0 0 1 0 0 1 1 1 0 0 0 +1 0 1 0 1 1 1 0 1 1 1 0 1 +0 1 0 1 1 0 0 0 1 1 0 1 1 +1 0 1 1 1 1 0 1 1 0 0 1 0 +0 1 1 1 0 1 1 1 1 1 0 0 1 +0 1 0 1 0 0 1 0 0 1 1 1 0 +1 0 1 1 1 1 0 1 0 0 0 0 0 +1 1 1 0 1 1 0 1 0 1 1 0 1 +1 1 0 0 1 1 0 0 1 0 1 1 0 +1 0 0 0 1 1 1 1 1 0 1 1 0 +1 1 1 0 0 1 1 0 1 1 1 1 0 +0 0 0 1 0 1 0 1 0 0 0 0 0 +0 0 0 1 0 1 1 0 1 0 0 0 1 +1 0 0 1 1 0 1 1 1 0 1 1 0 +1 0 0 0 1 0 1 0 0 0 1 0 1 +1 1 0 0 0 1 0 1 0 0 0 0 1 +0 1 1 0 1 1 1 1 0 0 0 1 0 +0 1 0 0 1 0 1 0 0 1 1 1 0 +1 0 0 0 0 0 1 1 1 1 1 1 0 +0 1 1 1 1 0 1 0 0 0 0 1 1 +1 1 1 1 1 1 0 1 1 1 1 1 0 +1 1 0 0 0 1 1 1 1 1 1 1 0 +1 1 1 0 0 0 1 1 0 1 0 1 0 +1 0 0 1 0 1 0 0 1 0 0 1 0 +0 0 0 1 0 0 0 1 0 1 1 0 0 +0 1 1 1 0 1 0 1 0 1 0 0 1 +1 1 1 1 1 1 1 1 1 0 0 1 0 +0 0 1 1 1 0 0 1 1 1 1 1 0 +1 1 1 1 0 1 1 0 1 0 0 1 1 +0 0 0 0 1 0 1 0 0 1 1 1 1 +0 1 0 1 0 0 1 0 1 1 0 1 0 +0 1 0 1 0 1 1 0 1 1 1 1 0 +1 0 1 1 0 1 1 0 1 1 1 0 0 +1 1 0 1 1 1 0 1 0 1 1 0 0 +1 1 1 0 1 0 0 0 0 0 0 0 0 +1 0 0 1 1 0 1 1 0 0 1 0 1 +1 1 1 0 0 0 1 0 0 0 0 0 0 +0 0 1 0 0 1 0 1 0 1 0 0 0 +1 0 1 1 1 1 0 0 1 0 1 0 1 +1 0 0 1 0 1 1 1 1 0 1 0 1 +0 0 1 1 1 0 1 1 1 0 0 1 0 +0 1 1 0 0 0 1 0 0 1 1 0 1 +1 1 1 0 0 0 0 1 0 1 0 1 0 +0 0 1 1 1 0 1 0 0 0 0 1 0 +1 0 1 1 0 1 0 0 1 1 1 0 1 +1 0 0 0 1 1 0 0 1 0 0 0 1 +0 0 0 0 0 1 1 1 0 1 0 0 1 +0 0 1 0 0 1 1 1 0 1 0 0 0 +0 0 1 1 0 0 0 0 1 0 1 0 1 +1 1 1 0 0 0 0 0 1 0 1 1 1 +1 1 1 0 0 1 0 1 0 0 0 0 1 +0 1 0 0 0 1 0 1 0 0 1 0 0 +1 1 0 1 1 1 0 1 0 0 0 1 0 +0 0 0 1 1 1 0 1 0 0 1 0 0 +1 0 0 1 1 0 0 1 1 1 1 1 0 +1 0 1 0 0 0 0 1 1 0 1 1 0 +0 0 1 1 1 1 1 1 0 0 1 1 0 +1 0 1 1 0 1 0 0 1 1 0 0 1 +0 0 1 1 0 1 0 1 1 0 1 1 1 +1 1 1 1 1 0 0 1 1 0 0 0 0 +0 0 0 0 1 0 0 0 0 0 0 1 1 +1 1 1 1 1 0 1 1 0 0 0 1 0 +1 0 0 1 1 0 0 0 0 0 0 1 0 +1 0 0 0 0 0 0 1 0 1 1 1 1 +1 0 1 0 1 0 0 0 0 0 0 0 0 +1 0 1 1 1 0 0 0 0 0 1 0 1 +1 0 1 1 1 1 0 0 0 1 0 1 0 +1 0 0 0 1 1 0 1 1 1 1 0 0 +1 0 0 0 1 0 0 1 0 1 0 1 1 +1 0 0 0 1 1 1 0 0 1 1 0 1 +1 1 1 1 1 0 1 1 0 0 0 0 1 +0 0 1 1 1 0 1 0 0 1 0 1 1 +1 0 1 1 0 0 0 1 0 1 1 0 1 +0 0 0 0 1 1 1 0 1 0 0 0 1 +1 0 0 1 0 1 0 0 0 1 0 1 0 +0 0 0 0 0 0 1 0 0 1 1 1 0 +0 0 1 0 0 1 0 0 0 1 0 1 1 +1 1 1 0 0 0 0 0 1 0 1 0 1 +0 0 1 1 0 1 0 0 1 1 0 0 0 +1 1 1 0 1 1 0 1 1 1 0 1 1 +1 0 0 0 1 0 1 0 0 0 1 0 0 +0 1 1 0 0 0 1 0 1 0 0 0 0 +1 0 0 1 0 1 0 1 0 1 1 1 0 +0 0 1 1 1 0 0 0 0 1 1 0 1 +1 1 1 1 1 0 0 1 1 0 0 1 1 +1 1 1 1 0 0 0 0 0 1 1 1 1 +0 1 1 1 0 1 0 0 0 1 1 0 1 +1 0 0 0 0 1 1 1 0 1 0 1 1 +0 0 0 1 1 0 1 0 1 0 1 1 1 +0 0 1 0 0 0 1 0 1 1 1 0 0 +0 0 1 0 1 1 1 1 1 1 1 1 1 +1 1 0 0 0 1 0 1 0 1 0 0 1 +1 1 1 1 0 1 0 0 0 0 0 0 1 +1 0 1 0 1 1 1 0 0 1 1 1 1 +0 0 0 1 0 0 1 1 0 0 0 0 1 +0 1 0 1 1 0 0 0 1 0 1 1 0 +0 0 1 1 0 0 1 0 1 0 0 0 0 +1 1 0 1 0 0 1 0 1 0 0 0 0 +0 0 0 0 0 1 1 1 0 1 1 1 1 +0 1 1 1 1 1 0 1 0 1 0 1 1 +0 1 1 0 0 0 0 1 1 0 1 0 1 +0 1 0 1 0 0 0 0 0 1 1 0 1 +0 1 0 1 1 1 0 0 1 1 1 1 1 +0 1 1 0 0 0 1 0 1 0 1 0 1 +0 0 1 1 0 1 1 0 0 0 0 0 0 +1 1 0 0 1 1 1 0 1 1 1 1 1 +1 0 0 0 0 0 0 0 0 1 1 0 1 +0 1 0 0 0 1 0 1 1 0 0 0 1 +1 0 1 1 0 1 0 0 1 1 1 1 1 +1 1 1 0 1 1 0 0 0 1 1 1 0 +1 1 1 0 0 0 0 1 1 1 1 1 0 +1 1 1 0 1 1 0 1 0 0 1 0 0 +1 0 0 0 0 1 1 1 1 0 1 1 0 +0 0 1 0 0 1 1 0 1 1 1 0 0 +0 1 1 1 1 1 1 0 1 0 0 0 1 +0 1 0 1 0 1 0 1 1 1 1 1 0 +1 1 0 1 0 1 1 0 1 1 0 0 0 +1 0 1 1 0 1 0 1 1 1 1 0 1 +1 0 1 0 0 0 0 1 0 1 1 0 1 +1 1 0 1 1 1 1 1 0 1 1 1 1 +0 0 0 0 1 1 1 0 1 1 1 1 0 +0 0 0 1 1 0 1 1 0 0 1 0 1 +1 0 0 1 0 1 1 1 0 0 0 1 0 +0 0 0 1 0 1 0 1 0 0 1 0 0 +1 0 0 1 0 0 0 0 0 1 0 1 1 +0 1 0 0 1 1 0 0 1 0 1 1 1 +0 0 1 1 1 1 1 1 0 1 0 0 1 +1 0 1 1 1 1 0 1 0 0 0 1 1 +0 1 1 1 1 0 1 0 0 1 1 1 1 +1 0 1 1 0 0 1 0 1 0 0 1 1 +0 1 0 1 0 0 0 0 0 1 1 1 0 +1 1 1 1 0 0 1 1 1 0 0 0 0 +0 1 1 1 1 1 0 1 1 1 1 0 0 +1 0 0 0 1 0 1 1 1 0 1 1 1 +1 0 1 0 0 1 1 0 1 0 0 0 1 +0 1 1 1 0 0 0 1 1 0 0 0 1 +1 0 1 0 0 0 1 0 0 0 0 0 1 +1 1 1 0 1 1 1 1 1 1 0 0 1 +1 1 1 1 0 1 1 1 1 0 0 0 0 +1 1 1 1 1 0 0 0 0 0 0 1 1 +0 0 1 0 0 1 0 1 1 1 1 0 1 +1 1 1 0 0 1 0 0 1 1 0 0 0 +1 1 0 0 0 1 0 0 0 0 0 1 1 +0 0 0 0 1 1 1 0 0 0 1 1 1 +0 0 1 0 1 1 1 1 1 1 0 0 0 +1 1 0 1 0 1 1 1 1 0 1 1 1 +1 0 1 0 0 0 1 0 1 1 1 0 0 +0 1 1 0 0 0 0 0 0 1 1 1 1 +0 0 1 1 0 0 0 1 1 1 1 0 0 +1 1 1 0 0 1 0 1 0 1 0 0 0 +1 0 0 1 0 1 1 0 0 1 0 1 1 +0 1 1 0 1 1 0 1 0 1 0 0 1 +1 1 0 0 0 1 0 1 1 1 1 0 0 +1 0 0 1 1 0 1 1 1 1 1 1 1 +1 1 0 1 1 1 1 1 1 1 0 0 0 +1 1 1 0 0 0 0 0 0 0 1 0 0 +1 1 1 1 0 0 1 0 0 0 1 1 0 +0 0 0 0 0 0 0 1 0 0 0 1 0 +0 0 0 0 0 1 0 0 0 1 1 1 0 +0 0 1 1 1 1 1 1 0 1 0 1 0 +1 1 0 0 0 0 1 1 0 0 0 1 0 +1 0 1 0 0 1 0 1 0 1 1 1 1 +1 0 1 1 0 0 1 1 1 1 1 0 1 +1 0 1 1 0 0 0 0 1 1 0 0 0 +1 0 0 0 1 0 1 0 0 1 1 0 1 +0 1 1 0 1 0 1 1 0 0 1 0 0 +0 1 1 0 1 1 0 0 1 1 1 1 0 +0 1 1 1 1 0 0 1 0 1 0 1 1 +0 0 1 0 0 0 1 1 1 1 1 0 0 +0 0 1 0 1 1 1 1 1 1 1 1 1 +1 0 1 0 0 0 0 0 1 1 1 1 1 +0 0 0 1 1 0 1 1 1 1 0 0 0 +1 1 1 1 1 1 0 0 0 1 1 0 0 +0 0 0 0 1 0 0 1 0 1 0 0 1 +0 0 1 0 1 0 0 0 1 1 0 1 0 +0 1 1 0 1 1 0 1 0 1 0 1 1 +0 0 0 0 0 1 1 1 0 0 0 1 0 +1 0 1 1 1 1 0 1 1 1 1 1 1 +0 1 1 0 1 0 0 0 1 0 1 0 0 +1 1 0 1 0 1 1 0 0 1 1 0 0 +1 0 0 1 0 1 1 1 0 1 0 1 1 +0 0 0 0 1 0 1 1 0 0 1 1 0 +1 0 1 0 1 0 0 1 1 1 1 0 1 +1 1 1 1 1 1 0 1 1 0 1 0 1 +1 1 1 0 1 1 1 1 0 0 1 1 1 +1 0 1 1 1 1 1 1 0 0 1 1 1 +1 1 0 0 1 0 0 1 0 1 0 1 1 +1 1 1 1 0 0 0 0 1 0 1 0 0 +1 0 0 0 0 0 0 1 1 0 1 1 0 +1 0 0 0 1 1 0 1 1 1 1 1 1 +0 0 1 0 0 0 0 0 1 1 1 0 0 +0 1 1 0 1 1 1 0 0 0 0 0 1 +1 1 1 0 1 0 1 1 0 1 0 0 0 +0 0 1 1 1 0 0 1 1 0 0 0 0 +1 1 1 0 0 1 1 0 0 0 0 1 0 +0 1 0 0 1 0 1 1 0 1 0 1 1 +1 0 0 0 1 1 0 1 1 1 0 1 1 +0 0 1 1 1 1 1 0 1 1 0 0 0 +0 0 1 1 0 1 0 1 1 1 1 1 1 +1 0 1 0 0 1 1 1 1 1 1 1 0 +1 0 0 0 0 1 1 0 0 0 1 1 0 +0 0 1 1 0 1 1 1 0 1 0 1 0 +0 1 0 0 1 0 0 1 1 0 1 0 0 +0 0 1 0 0 0 0 0 0 0 1 0 1 +0 0 0 1 1 1 1 1 0 1 1 0 0 +0 0 1 0 1 0 1 0 1 1 1 1 0 +1 1 1 1 1 1 0 1 0 0 0 1 0 +0 0 1 0 0 1 1 1 0 1 0 1 0 +1 1 1 1 1 1 1 0 1 0 1 0 0 +0 0 1 0 1 0 1 0 0 1 0 0 1 +0 0 1 1 1 1 1 1 0 0 1 0 1 +1 1 0 0 0 1 1 1 1 0 1 0 0 +0 0 0 0 1 1 1 0 0 0 1 0 0 +1 1 0 0 0 0 0 1 1 1 1 1 0 +1 0 1 0 1 0 1 0 0 1 1 1 0 +0 1 1 0 0 0 1 1 0 0 0 0 1 +1 0 0 1 1 0 0 1 0 0 1 0 1 +1 0 0 0 0 0 0 1 1 1 0 1 1 +1 0 0 0 0 1 1 0 0 0 0 1 0 +1 1 1 1 1 0 0 0 0 0 1 0 0 +1 1 0 1 0 0 0 0 0 1 0 1 1 +1 1 1 1 0 1 1 1 0 0 0 0 0 +1 0 0 0 0 0 1 1 1 0 1 1 0 +1 0 1 1 1 1 0 1 0 1 0 1 1 +0 1 0 0 1 0 1 0 0 0 1 1 0 +1 0 0 0 1 0 0 0 0 1 1 1 0 +0 1 1 1 1 1 0 0 0 1 0 0 1 +0 0 0 0 0 1 0 0 1 0 1 1 1 +1 0 0 0 0 0 1 1 1 0 0 1 1 +1 0 0 0 1 0 1 1 0 1 0 0 1 +0 0 1 0 1 0 0 1 1 1 0 1 1 +0 0 0 1 0 0 1 1 1 1 0 0 0 +0 0 1 1 1 1 1 1 1 1 0 0 1 +1 0 0 1 1 1 1 0 0 1 0 0 1 +1 0 1 0 1 1 1 0 1 0 1 0 1 +0 0 1 0 1 0 1 0 0 1 1 1 0 +0 0 1 1 1 1 0 1 0 0 1 0 0 +1 1 0 0 1 1 1 0 1 0 1 0 0 +1 1 1 0 0 1 1 1 1 1 1 0 0 +1 1 1 0 0 1 0 0 1 1 0 0 1 +0 1 1 0 0 1 0 1 0 1 1 1 1 +1 0 0 1 1 0 1 1 1 0 0 0 1 +1 0 0 1 1 0 0 0 0 1 0 0 0 +1 1 1 0 0 1 1 0 1 1 0 0 0 +0 0 1 0 0 0 0 1 1 1 0 0 1 +1 0 0 0 1 1 1 0 0 0 1 1 1 +0 1 0 1 0 0 0 0 1 1 1 1 0 +1 0 1 0 1 1 1 1 1 1 1 0 1 +1 0 0 1 1 1 1 0 0 0 1 0 1 +1 1 1 1 1 1 0 0 0 1 0 1 0 +0 1 0 1 1 1 1 0 0 1 1 1 1 +0 0 0 0 0 1 0 1 1 0 0 1 1 +0 0 0 1 1 0 0 1 1 0 0 1 1 +0 1 1 0 0 0 1 0 0 0 1 1 0 +0 1 1 0 1 0 1 0 0 0 1 0 0 +1 0 0 0 1 0 0 1 0 0 1 1 0 +1 1 0 0 0 1 0 1 0 0 0 1 0 +1 0 1 1 0 1 0 0 1 1 0 1 0 +1 1 1 0 1 0 1 0 1 0 0 0 0 +1 0 1 1 1 1 0 0 0 1 0 0 0 +0 1 1 0 1 0 0 1 1 0 1 1 1 +0 0 0 0 0 0 1 1 0 1 1 0 1 +1 0 1 0 1 0 1 1 1 0 0 1 0 +1 1 1 0 0 0 1 0 1 1 0 1 0 +1 0 1 1 1 1 1 1 0 1 1 1 1 +0 0 0 0 0 0 1 0 0 0 0 1 0 +1 0 0 0 0 1 0 0 1 1 0 0 1 +1 0 0 1 0 0 1 1 1 1 1 0 1 +0 0 1 1 1 0 1 1 0 1 0 1 0 +0 1 0 1 0 1 1 0 1 1 0 1 0 +1 0 1 1 1 0 1 1 0 1 0 0 1 +1 0 1 0 1 1 1 1 1 1 1 0 1 +1 0 0 0 1 1 0 0 0 1 1 0 1 +0 0 0 1 1 1 0 0 1 1 0 0 0 +1 1 0 0 0 0 0 1 0 1 1 0 1 +0 0 0 0 1 1 1 0 0 1 0 0 1 +1 0 0 0 0 0 1 1 0 1 1 0 1 +0 0 1 0 0 0 1 1 1 0 1 1 0 +0 0 0 0 1 0 0 0 1 0 1 1 0 +1 0 1 0 0 0 0 0 0 1 0 0 0 +0 1 0 0 1 1 0 0 1 1 0 1 1 +0 0 0 1 0 0 1 0 0 0 0 0 0 +0 1 1 1 0 1 1 1 0 0 0 1 1 +0 0 0 1 0 0 1 0 0 1 0 0 1 +0 0 0 0 1 0 1 0 1 0 1 0 1 +0 1 0 1 0 1 0 0 1 1 0 1 1 +0 1 1 0 0 0 0 1 1 1 0 0 0 +0 0 0 1 0 0 1 1 1 0 1 1 0 +1 0 1 1 0 0 1 1 0 1 0 0 1 +0 1 1 0 1 0 0 0 0 0 1 0 0 +0 0 0 1 0 1 1 0 1 1 0 0 1 +1 1 1 0 1 1 1 1 1 1 1 0 0 +0 1 1 0 0 0 1 0 1 0 0 0 0 +0 1 0 1 0 1 0 1 0 1 1 1 1 +0 0 1 0 1 0 1 1 1 1 1 0 1 +0 0 0 1 0 1 0 1 1 0 1 0 1 +0 1 1 1 1 0 0 0 1 1 0 0 0 +1 0 0 1 1 0 0 1 0 0 1 0 0 +0 1 0 1 0 1 1 1 1 1 1 1 1 +1 0 0 1 1 0 1 0 0 1 1 0 1 +0 1 0 0 0 0 0 1 0 0 1 1 1 +0 1 1 0 1 1 0 0 1 0 1 1 1 +0 0 0 1 1 0 0 1 0 0 0 0 0 +0 0 1 0 0 1 1 1 0 0 0 1 0 +1 1 0 1 1 1 1 1 1 1 0 0 0 +1 1 0 1 0 1 1 0 0 0 1 0 1 +1 0 1 0 0 0 0 1 0 0 1 0 1 +0 0 0 1 0 0 1 0 0 0 0 0 1 +1 0 1 1 1 0 0 0 0 0 1 1 1 +0 1 1 0 1 0 1 0 1 1 0 0 1 +0 1 1 1 0 0 1 0 0 0 0 0 1 +0 1 0 0 1 1 0 1 1 0 1 1 1 +1 0 1 0 0 1 1 1 1 1 1 1 1 +1 1 1 1 0 1 0 0 0 1 0 1 1 +1 1 1 1 1 1 0 0 1 0 0 1 0 +1 1 0 1 0 0 1 1 1 0 1 0 0 +0 0 1 0 1 1 0 0 1 1 1 1 0 +1 1 0 0 0 1 1 0 1 1 1 0 1 +0 0 1 0 1 1 1 1 0 0 0 1 1 +1 1 1 0 1 1 1 1 0 0 0 0 1 +0 0 1 0 1 0 1 0 1 0 1 0 1 +1 1 1 1 0 1 0 1 1 1 0 0 1 +1 1 0 1 0 0 0 1 0 0 1 1 0 +0 1 0 1 1 1 1 0 1 1 1 1 0 +1 0 1 1 1 0 0 1 1 0 1 0 1 +0 1 0 1 1 1 0 1 1 0 0 1 1 +1 1 0 1 1 1 0 0 0 0 1 0 0 +1 1 1 0 0 0 1 0 0 0 1 0 0 +1 0 1 0 0 0 1 0 1 0 1 1 0 +0 1 1 1 0 1 1 1 0 1 0 1 1 +0 0 0 1 1 0 0 1 0 1 0 1 0 +1 0 1 1 0 1 0 1 0 1 1 0 1 +0 1 0 0 0 0 0 0 0 0 0 0 1 +1 1 0 0 1 1 0 0 1 1 0 0 0 +1 0 1 0 1 1 0 1 1 0 1 1 0 +1 1 1 0 1 1 1 1 0 0 1 0 0 +0 1 0 0 1 1 0 0 0 0 1 1 1 +1 1 1 0 0 0 1 1 1 0 0 1 0 +0 0 0 1 0 1 0 1 0 0 1 0 1 +0 1 1 1 0 0 1 1 0 1 1 0 1 +1 1 1 1 0 1 1 0 0 0 0 1 0 +1 0 1 0 0 0 1 0 1 0 0 1 1 +0 1 1 0 1 1 0 1 1 1 1 0 0 +0 0 1 0 0 0 1 1 1 1 0 0 0 +0 0 0 0 1 0 1 0 0 0 0 1 1 +0 0 1 1 1 0 0 0 0 1 0 0 0 +1 1 0 0 0 1 1 1 0 1 0 1 0 +0 0 0 0 0 0 0 0 0 0 0 0 0 +0 0 0 1 0 0 0 1 0 0 1 1 1 +0 0 1 1 0 1 0 0 1 0 0 0 1 +1 0 1 0 1 0 1 1 0 0 0 1 1 +1 1 0 0 1 1 1 0 0 1 0 0 0 +1 1 0 1 1 0 0 1 1 1 0 1 0 +1 0 1 0 0 1 0 1 0 0 1 1 1 +1 0 0 0 1 1 0 0 1 1 1 1 1 +0 1 1 0 0 1 1 1 0 0 0 1 1 +0 0 1 0 1 0 0 1 1 1 0 1 0 +1 1 0 0 1 0 0 0 1 1 1 1 1 +1 1 1 0 0 1 1 1 1 1 0 0 0 +0 0 0 0 1 1 0 0 1 0 0 0 0 +0 0 0 1 1 1 0 1 0 1 0 1 0 +1 0 0 1 0 0 1 1 0 1 1 1 1 +1 1 0 1 1 0 1 1 0 1 0 0 1 +0 0 1 1 1 0 1 1 0 1 1 1 1 +1 1 0 0 0 1 0 0 0 1 1 0 1 +0 0 1 1 1 0 0 0 1 0 1 1 0 +0 0 1 0 1 1 1 0 0 1 0 1 0 +1 1 1 0 0 0 0 0 0 0 1 1 0 +0 1 0 1 0 0 0 0 1 1 0 1 1 +0 0 0 1 0 0 1 1 0 1 1 0 0 +0 1 0 0 1 1 0 1 1 0 0 0 1 +0 0 1 1 0 0 1 0 1 0 0 1 0 +0 1 0 1 1 0 0 1 0 1 0 0 0 +1 0 1 0 0 1 1 1 1 1 1 1 1 +0 1 0 1 0 0 0 1 0 1 1 0 1 +0 0 1 0 0 1 1 1 1 1 0 0 0 +0 0 0 0 1 1 0 1 0 0 1 1 1 +0 1 1 1 0 1 0 1 0 0 1 0 1 +1 0 1 0 1 0 1 1 1 1 0 0 0 +1 1 0 0 0 0 0 0 0 0 0 0 1 +1 1 0 1 0 1 1 0 0 1 1 0 0 +0 1 1 0 0 1 1 0 0 0 0 0 0 +0 0 0 0 0 1 0 1 1 0 1 0 0 +0 1 1 0 1 1 0 0 1 0 1 0 0 +1 0 0 0 1 0 1 1 1 0 1 1 1 +0 1 0 0 0 0 0 1 0 0 1 0 1 +0 1 0 0 1 0 0 0 1 0 0 0 1 +0 1 1 1 0 0 1 1 1 1 0 0 0 +1 1 0 1 1 0 1 1 0 0 0 1 0 +1 1 0 1 1 1 0 0 0 1 1 0 0 +1 0 0 1 0 1 0 1 0 0 0 1 1 +0 1 1 1 0 1 1 1 1 0 1 0 1 +1 1 1 1 0 0 1 1 1 1 0 1 0 +0 1 0 0 0 1 0 1 1 0 1 1 0 +0 1 0 0 0 0 0 1 1 1 1 0 0 +1 1 0 0 0 0 0 0 0 0 1 0 0 +1 0 1 0 0 0 1 1 0 1 0 0 0 +0 0 1 0 1 1 0 1 1 0 0 0 0 +1 0 0 1 1 1 0 1 1 0 1 1 1 +1 0 1 0 1 1 1 0 1 0 1 1 0 +1 0 0 1 1 1 1 1 0 0 0 0 1 +0 1 0 1 1 1 0 1 0 1 0 0 1 +0 0 0 0 1 0 1 1 0 0 0 1 1 +1 1 0 1 1 0 1 1 0 1 0 0 1 +1 1 0 1 0 1 0 0 1 1 1 1 0 +1 1 0 1 1 1 1 0 0 0 0 0 0 +0 1 1 0 1 1 1 1 0 1 0 0 1 +0 0 1 1 1 1 0 1 0 1 1 0 1 +0 0 1 0 1 0 0 0 0 1 1 1 1 +0 1 0 0 0 1 0 1 0 1 1 1 0 +1 1 1 0 1 0 0 0 1 1 1 0 0 +0 1 1 1 0 0 0 1 1 1 0 1 1 +1 0 1 0 0 0 1 1 1 1 0 0 1 +1 1 0 1 0 0 1 0 1 1 1 0 0 +1 1 1 0 0 1 0 0 0 1 1 0 0 +0 0 1 1 0 0 1 0 1 1 0 1 1 +0 1 1 1 1 1 0 1 1 1 0 0 1 +1 1 0 1 0 1 0 0 0 1 1 0 1 +0 0 0 0 1 0 0 0 1 0 1 0 1 +0 0 1 0 1 1 1 1 0 0 0 1 0 +0 1 0 0 0 1 0 0 0 1 0 0 0 +1 1 0 0 0 0 0 1 0 1 1 1 0 +0 1 0 0 0 0 1 0 1 0 0 0 1 +1 1 1 1 0 1 1 0 0 0 1 1 0 +0 1 1 1 0 0 0 0 1 0 0 1 1 +0 1 1 0 0 1 0 1 1 1 1 0 1 +0 0 1 1 1 0 0 1 1 0 1 0 1 +1 1 1 0 1 1 1 1 0 1 1 0 0 +1 0 0 1 0 0 0 1 1 1 0 1 1 +0 0 1 0 1 1 1 1 1 1 0 0 0 +0 0 0 1 1 0 1 1 1 0 1 1 0 +0 0 0 0 0 0 1 1 0 0 0 1 1 +1 0 0 0 1 0 1 1 0 0 1 1 1 +1 1 0 1 1 0 1 0 0 1 0 1 0 +1 0 1 1 1 1 1 1 1 1 1 1 0 +1 0 0 1 0 1 0 1 1 0 1 0 1 +1 0 1 1 1 1 0 1 0 0 1 0 1 +0 1 1 0 0 0 0 1 1 0 0 0 1 +0 0 0 1 0 0 0 0 0 0 0 0 0 +0 0 0 1 1 1 1 1 0 0 1 0 0 +1 0 0 1 1 1 0 1 1 0 0 1 0 +0 1 1 0 1 1 1 0 0 1 1 0 1 +1 0 0 0 0 0 0 0 1 0 0 0 1 +0 1 0 1 0 1 0 1 1 1 0 1 1 +1 0 1 1 1 0 0 1 1 0 0 1 1 +0 0 1 0 1 1 0 0 1 1 0 1 0 +0 0 1 1 0 0 0 0 1 1 0 1 0 +1 1 1 0 0 1 0 0 0 1 1 0 1 +1 1 0 0 1 1 1 0 1 0 1 1 1 +0 1 1 0 1 0 1 0 1 0 1 0 1 +1 0 1 1 1 1 1 1 0 0 0 1 0 +0 1 1 1 1 0 0 0 0 1 1 1 0 +0 1 1 0 0 1 0 0 0 0 0 1 0 +1 1 1 1 0 0 1 1 0 0 0 1 1 +1 1 1 1 0 0 1 1 0 0 0 0 0 +1 0 1 1 1 1 0 0 1 0 1 1 0 +0 1 1 1 1 1 1 0 1 1 0 1 1 +0 0 1 1 1 0 1 1 0 0 1 1 0 +0 1 0 0 0 1 0 1 0 0 1 0 0 +1 0 0 0 0 1 1 1 1 0 0 0 1 +0 0 1 1 0 1 0 0 1 0 0 1 0 +0 1 1 1 1 0 0 0 1 1 1 0 0 +1 0 0 1 0 1 1 0 1 0 1 0 1 +0 0 0 0 0 0 1 0 0 1 1 1 0 +1 0 1 0 0 0 0 1 1 0 0 0 0 +1 0 0 0 1 1 0 0 1 0 0 1 0 +0 1 1 1 1 0 1 1 1 1 1 0 1 +0 1 0 0 0 0 0 1 0 1 1 1 1 +0 0 1 0 0 1 0 1 0 1 1 0 1 +1 0 1 0 1 1 0 0 1 0 1 0 1 +1 0 1 0 0 1 0 1 0 1 0 0 0 +1 0 0 1 1 0 0 1 0 0 1 1 1 +1 1 0 1 1 0 0 1 0 0 1 0 0 +1 0 0 0 0 1 0 1 0 1 0 1 1 +1 1 0 1 1 0 0 1 0 1 1 0 1 +1 0 0 1 1 0 0 0 0 1 0 1 0 +1 0 1 1 0 0 1 1 0 0 1 0 1 +1 1 0 0 0 1 0 0 1 1 0 0 1 +1 1 0 1 0 0 0 0 0 0 0 1 0 +0 0 0 1 0 1 0 1 0 0 0 1 1 +1 0 1 0 1 0 0 0 0 0 0 0 1 +0 1 0 0 0 0 1 1 1 0 1 1 1 +0 1 1 1 0 1 0 1 0 1 1 1 0 +0 1 0 1 0 1 0 1 1 0 1 0 1 +1 0 1 1 0 1 1 1 1 1 0 1 1 +1 0 0 1 0 1 0 1 0 1 0 0 1 +0 1 0 1 0 0 0 1 0 1 1 1 1 +0 0 0 1 0 0 0 0 1 0 0 1 0 +0 1 0 1 1 1 1 1 1 0 0 1 1 +0 1 0 0 1 1 1 1 1 0 1 1 1 +0 0 0 0 0 1 1 1 0 1 1 0 0 +0 1 0 1 1 1 1 0 0 1 1 0 1 +0 0 0 0 0 0 1 0 1 1 1 0 1 +1 0 0 1 1 0 1 0 0 1 0 1 0 +1 1 1 0 1 0 0 0 1 1 1 0 0 +0 1 1 1 0 0 0 1 0 0 0 1 1 +1 1 0 0 1 1 0 0 0 1 1 1 0 +0 0 0 1 0 1 0 1 0 1 0 1 0 +1 1 1 1 0 0 1 0 0 0 1 0 0 +1 1 0 0 1 1 0 1 1 1 0 0 1 +0 1 0 0 0 0 1 0 1 0 0 0 1 +1 0 1 1 1 1 0 0 0 1 0 0 1 +0 0 1 1 0 0 1 0 0 0 0 1 0 +1 0 0 1 1 0 0 0 1 1 1 1 0 +0 0 0 0 0 0 0 1 1 0 1 1 1 +0 1 1 1 1 0 1 1 1 1 1 0 1 +1 0 1 1 1 1 1 1 0 0 1 1 1 +0 1 0 0 1 1 1 0 0 0 0 0 0 +0 0 1 1 1 0 1 1 1 0 1 0 0 +1 0 0 0 1 1 1 1 1 1 0 0 0 +1 1 1 0 1 1 0 0 1 1 0 1 0 +0 1 0 1 1 1 1 0 1 1 0 1 1 +1 1 1 1 1 0 0 0 0 0 1 0 0 +1 0 0 0 0 0 0 0 1 0 0 0 1 +1 0 0 1 1 0 0 1 1 1 0 1 0 +1 0 1 0 1 1 1 1 0 1 0 0 0 +0 1 1 1 1 0 0 1 1 0 0 1 1 +1 1 0 1 0 0 1 1 1 0 0 0 0 +0 1 0 1 1 0 1 1 1 0 1 0 1 +0 0 1 1 0 0 1 1 0 1 1 1 0 +1 0 0 0 1 0 0 1 1 1 1 0 1 +1 0 1 1 1 1 0 1 1 0 0 1 0 +0 0 0 0 0 1 0 1 1 1 0 1 1 +1 1 0 1 1 1 0 1 1 0 1 0 1 +0 1 0 0 1 0 0 1 1 0 1 1 0 +1 1 1 1 0 1 0 1 0 0 0 0 0 +1 1 0 0 0 0 0 0 1 0 1 0 1 +1 0 0 1 0 1 1 1 1 1 0 1 1 +1 0 1 1 1 1 1 0 0 1 0 1 0 +1 1 0 0 0 0 1 1 0 1 1 0 1 +1 0 0 1 1 1 0 0 1 0 0 0 1 +1 1 1 0 0 0 1 1 0 0 0 0 0 +0 0 1 0 0 1 1 1 1 0 0 0 1 +1 0 0 0 1 0 0 0 0 0 0 1 0 +1 0 0 0 1 1 0 0 0 0 1 0 0 +1 1 0 1 1 1 0 0 0 0 1 0 0 +1 0 1 0 0 0 1 1 1 1 1 0 1 +0 1 1 0 0 0 0 0 0 0 0 1 0 +1 0 1 0 0 1 0 0 1 1 0 0 1 +1 0 0 1 1 0 0 1 0 0 0 1 0 +1 0 0 1 1 1 0 1 1 1 0 0 1 +1 0 1 1 1 1 1 0 1 0 0 0 1 +1 1 0 1 1 1 1 1 1 0 0 1 0 +0 0 1 1 0 1 0 0 0 1 1 0 1 +0 0 0 0 0 0 0 0 0 0 0 0 0 +1 0 0 1 1 0 0 0 1 0 1 1 0 +0 1 1 1 1 1 0 1 1 1 0 1 1 +0 1 0 1 1 1 1 1 0 1 1 1 1 +1 1 0 0 0 0 1 1 0 1 1 0 0 +1 0 0 0 1 0 0 1 1 0 0 0 1 +0 1 1 1 0 0 1 0 1 0 0 0 1 +1 1 0 0 1 1 0 0 0 1 0 0 1 +1 0 0 1 0 0 0 0 1 1 0 0 1 +0 0 1 1 0 1 0 1 1 1 1 0 1 +1 0 1 1 0 1 1 0 0 1 1 0 0 +1 0 0 0 1 0 1 0 0 1 0 1 0 +1 0 0 0 1 1 1 1 0 0 1 1 0 +0 0 1 0 0 1 1 0 1 0 1 1 0 +0 1 1 1 0 0 1 0 1 0 1 1 1 +1 0 0 1 1 1 0 0 0 0 1 0 0 +0 1 0 1 0 1 0 1 0 1 1 1 1 +1 1 0 0 1 1 1 1 1 0 0 0 0 +0 0 0 1 0 0 0 1 0 0 1 0 1 +0 1 0 0 1 0 1 1 1 0 0 1 0 +0 1 0 0 1 1 0 0 0 0 0 0 0 +0 0 0 0 0 1 0 1 1 0 1 0 1 +0 1 1 0 0 0 1 0 0 0 0 1 1 +1 0 0 1 1 1 0 0 0 1 0 1 1 +0 1 0 0 1 0 0 1 0 1 0 0 1 +0 1 0 0 0 0 0 1 1 0 1 0 1 +0 0 0 0 1 0 1 1 1 1 1 1 1 +1 1 1 1 0 0 1 0 0 0 0 1 0 +1 0 0 0 1 0 0 0 0 1 0 0 1 +0 1 1 0 0 1 0 0 0 0 0 1 1 +0 1 1 0 1 1 1 0 0 1 0 1 0 +1 0 1 1 1 1 0 1 0 0 1 0 1 +1 0 1 1 0 1 1 0 0 1 0 0 0 +1 0 1 1 1 1 0 1 1 1 1 1 0 +0 1 1 0 1 0 1 1 0 0 1 0 0 +0 0 0 1 1 1 1 0 0 0 0 0 0 +0 0 1 1 1 1 1 0 0 0 0 0 1 +0 0 0 1 1 0 0 0 0 0 1 0 0 +1 1 1 1 0 0 1 0 1 0 0 1 1 +0 0 1 0 1 1 0 0 1 1 0 0 1 +0 0 0 1 0 1 0 0 0 1 1 1 1 +1 1 0 1 0 1 0 0 1 1 0 1 0 +1 0 0 1 0 0 1 0 0 0 0 1 1 +1 1 1 1 1 1 0 0 1 1 0 1 0 +0 0 1 1 0 0 1 0 1 0 0 0 0 +1 1 1 1 1 0 1 0 0 1 1 0 0 +1 0 0 1 1 0 1 1 1 1 0 0 0 +0 0 1 0 1 0 1 1 1 1 0 0 1 +1 1 1 0 1 1 1 1 0 1 0 1 1 +0 0 0 1 0 1 0 0 1 1 1 1 1 +1 0 1 0 1 1 0 1 1 1 1 0 0 +1 0 0 0 0 0 1 1 1 1 0 0 0 +0 0 1 0 0 0 1 0 0 0 1 0 0 +0 0 1 0 0 0 0 1 0 1 0 1 0 +1 1 1 1 0 0 1 0 0 1 0 1 0 +1 1 1 1 0 1 0 0 0 1 0 1 0 +0 0 0 1 0 1 0 1 0 0 1 1 0 +1 1 0 0 0 0 1 1 1 0 0 0 0 +0 0 1 0 0 1 1 1 1 0 1 0 0 +0 1 1 1 1 1 0 0 0 1 1 1 1 +0 0 1 1 1 0 0 0 0 1 0 1 0 +0 1 0 0 0 1 0 1 1 1 1 1 1 +1 0 0 1 0 0 1 1 0 1 1 1 1 +1 0 1 1 1 0 1 1 0 1 0 0 1 +1 1 1 0 0 1 1 1 1 1 1 0 0 +0 1 0 1 0 0 0 1 1 0 0 1 0 +0 0 1 1 1 0 0 1 0 0 1 1 0 +0 0 0 0 1 0 1 1 0 1 0 0 0 +1 0 0 0 0 0 1 1 1 1 0 0 0 +0 0 1 1 1 0 0 1 1 0 1 1 1 +0 0 1 0 1 0 0 0 1 0 1 0 1 +0 0 1 0 1 0 1 1 0 1 0 0 0 +1 0 0 1 1 1 0 0 0 1 1 0 0 +0 0 0 1 0 1 0 1 1 0 0 1 0 +1 1 1 1 0 1 0 1 1 0 1 1 0 +0 1 1 0 1 1 1 1 0 1 1 0 0 +1 1 0 0 0 1 1 1 1 0 1 1 0 +1 1 0 1 0 1 1 0 1 0 1 1 0 +0 1 1 0 1 1 1 0 0 0 1 0 1 +1 0 1 0 1 0 0 1 1 0 1 1 0 +0 0 0 1 0 0 1 1 0 0 0 0 1 +1 1 1 0 0 1 0 1 0 1 1 0 0 +0 0 1 0 0 1 0 0 0 1 1 0 0 +1 1 1 0 1 0 1 0 1 0 0 0 0 +0 1 0 1 1 1 0 1 1 0 0 0 1 +0 0 0 1 0 1 0 0 0 1 0 1 0 +0 1 0 0 0 0 0 1 0 1 0 1 0 +1 1 1 1 0 1 0 0 1 1 1 1 1 +0 1 1 1 1 1 1 0 0 1 1 0 0 +0 0 1 0 1 0 0 0 0 1 0 1 0 +1 1 1 1 1 1 1 1 1 0 0 1 0 +1 1 1 0 1 0 0 0 0 0 1 1 0 +1 1 0 0 1 0 0 1 0 0 1 0 1 +1 0 0 0 0 1 1 0 1 1 1 1 0 +0 0 1 1 1 1 1 0 0 0 0 1 0 +0 0 0 1 1 0 1 1 1 1 1 1 0 +0 1 0 0 1 1 1 1 0 0 1 1 0 +1 0 1 0 1 0 0 0 1 1 1 1 1 +1 1 1 1 0 1 1 0 0 1 1 0 0 +0 1 0 0 0 0 1 1 0 0 0 0 0 +1 1 0 0 0 1 1 1 1 0 1 0 1 +1 1 1 1 1 0 0 0 1 1 1 0 0 +1 1 1 0 1 0 0 1 0 1 1 1 1 +1 1 0 0 1 0 1 0 0 1 0 1 1 +1 0 0 1 0 1 1 0 0 1 1 1 0 +1 1 1 1 0 1 1 0 0 1 1 1 0 +0 1 1 1 0 0 0 0 1 1 0 0 1 +0 0 0 1 0 0 0 0 0 0 0 0 0 +1 0 0 1 1 1 1 1 1 0 0 0 1 +1 0 1 1 0 0 0 1 1 0 0 0 1 +0 1 1 0 0 0 1 1 1 0 1 1 0 +0 0 0 1 1 1 0 0 1 0 0 0 1 +0 1 0 1 1 1 0 0 0 0 0 1 0 +1 1 0 0 0 1 0 1 1 1 1 1 0 +0 1 1 0 1 0 1 1 1 0 1 1 1 +1 1 0 1 1 0 0 1 0 0 1 0 0 +1 1 0 1 0 1 1 1 1 1 0 1 1 +0 0 0 0 0 0 0 0 1 0 1 0 1 +0 0 1 1 1 1 0 0 1 1 0 1 1 +1 0 0 1 1 0 1 0 0 1 1 0 0 +0 1 1 0 0 0 0 1 1 1 0 0 1 +1 1 1 1 1 1 0 1 1 0 1 1 0 +1 1 0 0 1 0 0 0 0 1 0 1 0 +1 1 1 1 1 0 0 0 0 0 0 1 1 +0 0 0 0 1 1 1 1 1 1 0 0 1 +1 0 1 0 0 1 1 0 1 1 1 0 1 +1 0 0 0 1 1 0 1 1 0 1 1 0 +1 0 0 1 0 0 0 0 1 1 0 1 0 +0 1 0 1 1 1 1 1 0 1 1 1 1 +0 0 0 0 1 0 0 0 1 1 0 1 1 +0 1 1 0 1 1 1 1 1 0 0 0 1 +1 1 0 1 1 1 1 0 0 1 0 0 0 +1 0 1 0 0 1 1 1 1 0 0 1 1 +0 1 0 1 0 0 1 1 1 0 1 0 0 +0 1 0 1 1 0 0 1 1 0 1 1 1 +0 1 0 1 0 0 0 0 1 1 0 1 0 +1 0 0 0 1 0 1 0 0 1 1 0 0 +0 1 0 1 0 0 1 0 1 1 1 1 0 +1 0 0 1 0 0 1 0 0 0 0 0 0 +1 1 1 0 0 1 1 0 1 1 1 1 0 +1 0 0 0 1 1 1 0 0 0 0 1 1 +0 0 1 1 0 0 1 1 1 1 1 1 1 +1 0 1 1 1 0 0 1 0 1 1 1 0 +0 1 0 0 1 1 0 1 1 1 0 0 0 +0 0 0 0 0 0 0 1 1 1 0 0 0 +1 0 1 0 0 1 0 0 1 0 0 1 1 +1 1 1 1 0 0 1 0 1 0 0 0 0 +1 1 1 0 0 1 1 1 1 0 1 1 1 +1 0 0 1 0 1 0 1 1 0 1 0 0 +1 1 1 0 0 0 0 0 0 1 1 0 0 +1 1 1 1 0 0 0 1 1 0 0 1 1 +0 0 1 1 0 1 0 0 0 0 0 1 1 +1 0 0 0 1 0 1 1 1 0 1 0 1 +0 1 1 0 0 0 0 0 1 0 1 1 1 +0 0 1 1 0 0 1 0 0 0 1 1 1 +1 1 0 0 1 0 1 0 1 0 0 1 1 +0 1 0 1 1 0 1 0 1 0 0 0 1 +1 0 0 0 1 1 0 0 1 0 0 1 1 +1 1 0 0 0 0 1 0 0 1 1 1 1 +0 0 1 0 0 1 0 1 1 0 0 1 0 +1 0 1 1 0 1 1 1 0 0 0 1 1 +1 0 0 0 0 1 1 0 1 0 0 0 1 +0 1 0 1 1 0 0 1 0 1 1 1 1 +1 0 1 1 1 0 0 1 1 1 0 0 1 +1 0 0 1 1 0 0 0 1 1 0 1 0 +1 0 1 0 0 1 1 1 0 1 1 0 0 +0 0 1 0 1 0 1 0 1 0 0 1 1 +1 1 0 0 1 1 0 1 1 0 1 0 1 +0 1 0 1 1 1 0 0 0 1 1 1 0 +0 0 0 1 0 1 0 1 1 0 0 0 0 +1 0 1 0 0 0 0 1 1 0 0 1 1 +0 0 0 0 0 0 0 0 1 0 0 1 1 +1 1 1 1 1 1 0 0 0 1 1 1 0 +1 0 1 1 1 0 1 0 0 0 0 1 0 +1 0 1 1 1 1 0 0 1 0 1 1 1 +0 1 1 1 0 1 0 1 0 0 0 0 1 +0 0 0 0 1 0 1 0 1 1 1 1 1 +0 0 1 0 1 0 0 0 0 1 0 1 0 +0 1 0 1 0 0 0 0 0 0 1 1 1 +1 0 0 1 1 1 0 1 1 0 1 1 1 +1 0 0 0 0 0 1 1 1 0 0 0 1 +0 1 1 0 1 1 1 0 0 1 1 0 0 +1 1 0 0 1 1 1 0 0 0 1 1 1 +1 1 1 0 0 0 0 1 1 1 1 1 1 +1 0 1 1 1 0 1 1 1 1 0 1 1 +0 0 1 0 1 1 1 0 1 0 1 1 1 +0 1 1 1 0 1 1 1 1 0 0 0 1 +0 0 0 0 0 1 0 1 1 0 1 1 0 +0 0 0 0 1 1 0 0 1 1 1 1 0 +1 0 0 0 1 1 1 1 1 1 0 1 0 +0 0 0 1 0 0 1 1 0 1 1 0 1 +1 1 0 1 0 1 1 0 1 0 0 1 0 +0 0 1 0 1 0 0 1 0 0 0 1 0 +0 1 0 0 0 0 0 1 1 0 0 0 0 +1 1 1 0 0 0 0 1 0 1 1 1 1 +0 1 0 1 0 0 1 1 1 0 0 1 0 +1 0 0 1 0 0 1 1 1 1 1 1 0 +0 1 0 1 0 1 1 1 0 0 1 0 0 +0 0 0 0 1 0 0 1 1 0 0 0 1 +1 1 0 1 1 0 0 1 0 0 0 0 1 +1 1 1 0 0 0 1 0 0 1 0 0 0 +1 0 0 0 1 0 1 1 0 0 1 0 0 +0 0 1 1 1 0 1 1 1 0 1 1 1 +1 0 1 1 0 0 1 0 1 1 1 1 1 +0 1 0 0 0 1 0 1 1 1 1 0 0 +0 1 0 1 1 1 1 0 0 1 1 1 0 +1 1 1 0 0 0 0 0 0 1 1 1 0 +0 0 0 0 1 1 0 1 1 1 1 1 1 +0 1 0 0 0 0 0 1 0 1 1 0 0 +1 1 0 0 0 1 1 1 0 1 0 1 0 +0 1 1 1 0 0 1 1 0 0 1 0 1 +1 1 0 0 1 1 1 1 0 1 0 1 0 +0 0 0 0 0 1 1 0 0 1 0 1 1 +0 1 0 1 1 0 1 0 0 0 0 1 1 +1 0 1 0 0 1 1 1 0 0 1 0 1 +0 0 1 1 1 1 1 1 0 1 1 1 1 +1 1 1 0 0 1 1 1 1 0 1 1 1 +0 0 0 1 0 1 1 1 1 0 1 0 0 +1 0 1 1 0 1 0 0 0 0 1 0 0 +1 1 1 1 0 1 1 1 0 1 1 1 0 +1 1 0 1 0 1 1 1 1 0 1 0 0 +0 1 1 0 0 0 0 1 1 0 1 0 0 +0 1 0 0 0 0 0 0 1 1 0 1 1 +0 1 1 0 0 0 0 0 1 1 1 1 1 +0 1 1 1 1 1 0 1 1 1 1 1 1 +1 0 0 1 1 0 1 0 0 1 0 1 1 +1 1 0 0 1 1 0 0 0 0 1 0 0 +0 1 1 1 0 1 0 1 0 0 0 0 0 +1 1 0 1 0 1 1 1 0 0 0 1 1 +1 0 0 0 1 0 1 0 0 1 0 0 1 +0 1 0 1 1 0 0 1 1 1 1 1 0 +0 1 0 0 1 0 1 1 1 0 0 0 0 +1 0 1 1 1 0 1 0 0 1 1 0 1 +0 0 1 0 0 1 0 0 0 0 1 1 1 +1 1 1 1 0 0 0 1 1 0 0 1 0 +0 0 0 1 0 1 0 0 0 0 1 1 1 +1 1 0 0 1 0 0 1 1 1 0 1 1 +0 1 0 0 0 0 0 0 0 1 0 0 1 +1 1 1 1 1 1 1 1 1 0 0 0 0 +1 0 0 1 1 0 0 1 0 1 1 0 1 +0 0 0 1 1 0 1 1 1 0 0 0 0 +1 0 0 1 1 1 1 1 0 0 0 1 1 +1 1 1 1 1 1 1 1 0 1 1 0 0 +1 0 1 0 1 1 0 1 1 1 1 0 1 +0 0 0 1 0 1 1 1 1 1 1 0 1 +0 0 0 0 1 1 1 0 1 0 0 1 0 +1 0 1 1 1 1 0 0 1 1 1 0 0 +1 0 0 0 0 1 0 0 1 0 0 1 1 +1 0 1 1 0 1 0 1 1 0 1 0 1 +1 0 1 1 1 0 1 0 1 0 0 0 0 +1 0 0 0 1 0 1 0 1 0 1 1 0 +0 1 1 0 0 1 0 1 0 0 0 0 1 +0 0 1 0 0 0 0 0 0 0 1 0 0 +1 0 1 1 0 1 0 0 0 0 0 1 1 +0 1 1 0 1 1 1 0 1 0 0 0 1 +1 1 0 0 1 0 1 1 1 1 1 1 0 +1 1 0 1 1 1 0 1 0 1 1 1 0 +1 1 1 1 1 1 1 1 1 1 1 1 0 +1 0 0 1 1 0 0 1 0 0 1 0 0 +0 0 1 0 1 1 0 1 1 1 0 0 0 +0 1 1 0 1 1 1 0 0 1 0 0 0 +0 0 0 1 1 1 0 1 0 0 1 1 0 +1 1 1 0 0 1 0 0 0 0 0 1 0 +1 0 1 0 1 1 0 0 0 0 1 0 1 +0 0 1 1 0 1 0 0 0 1 0 0 0 +1 1 1 0 1 1 0 0 1 0 0 1 0 +0 1 1 1 0 1 1 1 0 1 1 0 1 +0 1 1 0 1 1 1 1 1 0 1 1 0 +1 0 0 1 0 1 0 1 1 0 1 1 1 +1 1 0 0 1 0 1 0 0 0 0 1 0 +0 0 1 1 0 0 0 1 1 1 0 0 0 +0 1 0 0 1 0 0 1 1 0 1 1 0 +0 0 0 0 1 0 0 0 0 1 1 0 0 +1 0 1 1 0 0 1 1 0 1 1 1 1 +0 0 0 0 0 1 0 1 1 0 1 0 1 +0 1 1 0 0 1 0 0 1 0 0 0 1 +0 0 1 0 1 1 0 0 0 1 1 1 0 +0 0 1 0 1 0 1 0 0 1 1 1 1 +0 0 1 1 0 1 1 0 1 1 1 1 1 +0 0 0 0 0 1 1 0 1 1 0 1 1 +1 1 1 0 1 1 0 0 0 1 0 0 0 +0 0 1 0 0 0 0 1 1 1 0 1 1 +0 1 1 0 1 0 1 0 1 1 0 0 1 +1 0 1 1 0 1 1 0 0 1 0 0 1 +0 1 1 0 0 0 1 1 0 1 1 0 1 +1 0 0 1 1 0 0 0 0 0 1 1 1 +0 1 0 0 1 1 0 0 1 0 1 1 1 +0 0 1 0 0 1 1 1 0 0 0 1 0 +1 0 1 0 0 0 0 1 1 1 1 0 0 +1 1 1 0 0 0 0 1 0 0 0 0 0 +0 1 0 1 1 1 0 1 1 1 1 0 0 +1 1 0 1 0 1 0 1 0 0 1 0 0 +0 0 0 1 1 1 1 0 0 1 0 1 0 +1 1 1 1 0 0 1 1 0 1 1 1 0 +0 1 1 0 0 0 1 1 0 1 1 1 0 +1 0 0 1 1 1 1 0 1 1 1 0 1 +1 1 1 0 0 0 1 1 0 0 1 0 0 +1 1 0 1 0 0 1 1 1 0 0 0 1 +1 1 1 1 0 1 1 0 1 0 0 1 1 +1 0 0 0 1 0 1 0 0 0 1 0 1 +1 1 0 1 0 0 0 1 0 0 1 1 0 +1 0 1 0 1 0 1 0 1 1 0 1 1 +1 0 0 1 1 1 1 1 1 1 0 1 1 +0 0 0 0 1 1 0 0 1 0 0 1 0 +0 0 1 1 0 1 1 1 0 1 1 1 1 +1 1 0 1 0 1 0 0 0 1 0 1 0 +0 0 1 1 0 1 1 0 0 0 1 1 1 +1 1 0 1 0 0 1 0 1 1 1 1 1 +0 0 0 0 0 0 1 1 0 1 0 1 0 +0 0 1 1 1 0 1 1 1 1 1 0 1 +0 1 0 0 1 1 1 0 0 0 0 1 1 +0 0 1 1 0 1 0 0 1 0 0 1 0 +0 1 1 0 0 1 1 0 0 1 1 0 1 +1 0 0 1 0 0 1 0 0 1 0 1 1 +0 1 0 0 0 1 1 0 0 0 0 1 1 +0 1 1 1 1 0 0 0 1 0 0 0 0 +0 0 1 1 0 1 1 0 1 1 1 1 0 +0 0 1 0 0 0 0 1 0 1 1 1 0 +0 1 0 0 1 0 1 1 1 1 1 1 1 +0 1 1 0 0 1 1 0 1 0 1 1 0 +1 1 1 1 0 0 1 0 1 0 0 0 0 +0 1 0 0 0 0 0 0 1 1 0 0 0 +0 1 0 0 0 1 0 0 1 0 0 1 1 +1 1 0 0 0 1 1 1 1 1 1 1 1 +0 1 0 1 0 1 1 1 0 1 0 0 0 +1 0 1 1 1 1 0 1 0 1 0 0 1 +1 0 1 1 1 1 1 1 1 0 1 0 1 +1 0 0 1 1 0 0 0 1 1 0 1 1 +1 1 1 0 1 1 0 1 1 1 0 1 0 +1 1 1 0 0 0 0 1 1 1 0 1 1 +0 0 0 0 0 1 1 1 0 1 0 1 0 +1 0 1 0 0 0 0 0 1 1 1 1 1 +0 0 1 0 1 0 1 1 1 0 0 1 0 +0 0 0 0 1 0 0 0 0 1 0 0 0 +0 1 0 0 0 0 1 0 0 0 1 1 0 +1 0 0 1 1 1 1 0 1 1 1 1 1 +1 0 0 1 1 0 0 1 1 1 1 1 1 +1 0 0 0 1 0 0 1 0 1 1 1 1 +0 0 1 1 0 0 1 0 0 1 0 0 1 +1 0 0 1 0 1 1 1 1 0 0 0 0 +1 0 0 0 1 0 1 0 0 0 1 1 1 +0 1 1 0 1 0 0 0 0 1 0 1 1 +0 1 0 1 1 0 1 0 0 1 1 1 0 +0 0 0 0 0 0 0 0 0 0 0 0 1 +0 1 0 1 1 1 1 1 0 1 0 0 1 +1 0 1 1 0 1 1 0 0 0 1 1 1 +0 0 0 1 0 1 0 0 1 1 0 0 1 +0 1 0 0 0 1 0 0 0 1 1 0 1 +1 1 1 1 0 0 1 1 0 0 1 1 1 +0 1 0 0 0 1 0 0 1 0 0 0 0 +1 0 1 0 0 0 0 0 0 0 0 1 1 +1 0 0 1 1 1 1 0 0 0 1 0 0 +0 1 0 1 0 1 1 0 1 0 1 0 0 +1 1 1 0 1 0 0 0 1 1 0 0 0 +0 1 1 1 1 0 0 0 0 1 1 1 0 +1 1 1 1 0 1 0 0 0 1 1 0 1 +1 1 1 1 1 1 1 0 0 0 1 0 0 +1 1 1 0 0 1 1 0 0 1 1 1 1 +1 0 0 0 0 0 1 0 0 0 0 0 1 +0 0 0 0 0 1 0 0 1 0 1 0 1 +1 0 1 1 1 1 1 0 1 0 1 0 0 +1 0 1 1 1 1 1 1 0 0 0 1 1 +1 0 0 1 0 1 1 1 1 0 1 1 1 +0 1 1 0 0 0 0 0 1 1 1 0 0 +1 0 1 1 1 0 0 0 1 1 1 0 1 +0 0 0 0 1 0 0 1 1 0 0 1 0 +1 1 0 1 0 1 1 0 1 1 0 0 1 +1 0 1 1 0 0 0 0 0 0 1 1 0 +0 0 0 0 0 1 1 0 0 1 1 1 1 +0 1 0 1 1 1 1 1 1 0 0 1 1 +0 1 0 1 1 0 0 1 1 1 1 0 0 +0 1 0 1 0 0 0 1 1 0 0 0 1 +0 0 1 1 0 0 1 1 0 0 0 0 0 +1 1 0 0 0 1 1 1 0 1 0 0 0 +1 1 1 0 1 1 0 0 0 1 1 1 1 +1 0 1 0 1 0 1 1 0 0 1 1 0 +1 1 0 0 0 1 1 0 1 1 1 0 1 +1 0 0 0 1 0 1 1 0 0 0 0 1 +0 1 0 1 1 1 0 0 0 1 0 1 1 +1 1 0 0 0 1 1 1 1 0 1 1 1 +1 1 0 0 1 1 1 0 0 0 1 0 0 +0 0 0 1 1 1 1 0 0 1 1 1 0 +0 0 0 0 1 1 1 0 1 0 1 1 1 +1 0 1 1 1 0 1 0 0 1 1 1 1 +1 1 0 0 0 1 1 1 1 1 0 1 0 +0 1 1 0 0 0 1 1 0 1 0 0 1 +0 1 1 0 0 0 0 1 0 1 1 1 1 +1 0 1 0 0 0 0 0 1 0 1 1 1 +0 1 1 1 0 1 1 1 1 0 1 0 0 +0 0 1 0 1 0 0 0 1 0 1 1 1 +1 1 1 1 0 1 1 0 1 1 1 1 1 +0 1 0 1 0 0 0 0 1 1 1 0 0 +0 0 0 1 1 0 0 1 1 0 1 0 0 +0 0 0 0 1 1 1 1 1 0 1 0 0 +0 0 0 0 1 0 1 1 1 1 1 0 1 +0 1 0 1 1 0 1 1 1 1 1 1 1 +1 1 1 0 0 1 1 1 1 0 0 0 0 +0 0 0 1 1 0 0 0 1 1 0 1 0 +0 0 0 0 1 0 1 1 1 0 0 1 1 +0 0 1 0 0 1 1 1 0 0 0 1 0 +0 0 1 0 1 1 1 1 1 1 0 0 0 +1 1 0 1 1 1 0 1 1 1 1 1 0 +0 1 1 1 0 0 0 0 1 0 0 0 0 +1 1 1 1 1 0 0 0 1 0 1 0 1 +0 0 1 1 0 0 0 0 0 1 1 1 1 +0 0 0 1 1 0 0 0 0 1 0 1 1 +1 0 1 0 1 1 1 1 0 0 0 0 0 +0 1 1 0 1 1 1 0 0 0 0 1 0 +1 0 0 1 1 1 1 1 1 1 1 1 0 +0 0 0 1 1 1 0 0 1 1 0 0 0 +0 1 0 1 1 1 1 0 1 1 1 0 0 +1 1 0 0 1 0 1 1 0 0 0 0 0 +0 0 0 1 0 1 1 1 1 1 1 0 0 +1 0 1 0 0 0 0 1 1 0 0 0 0 +1 1 1 1 1 0 1 1 1 1 0 1 0 +1 1 0 0 0 0 0 0 1 1 0 1 1 +0 1 1 1 1 1 1 0 1 1 0 0 1 +1 1 1 0 1 1 1 1 1 1 0 0 0 +1 1 1 0 1 0 0 1 1 1 1 1 0 +0 1 0 1 0 0 1 1 1 1 1 1 1 +1 1 0 0 1 1 1 0 0 1 1 0 0 +1 0 0 0 1 0 0 1 1 0 1 0 0 +0 1 1 0 0 1 0 0 0 0 0 0 1 +0 1 0 0 0 1 1 1 0 1 0 1 1 +1 1 1 1 0 0 0 1 0 0 1 1 0 +0 0 1 1 1 1 1 0 0 1 0 0 0 +1 1 0 1 1 1 1 0 0 0 1 1 0 +1 1 1 1 1 0 0 1 1 0 0 0 0 +0 1 0 0 1 0 0 1 1 0 0 0 0 +0 1 0 1 0 1 0 0 0 1 0 0 0 +0 1 1 0 1 0 0 1 0 0 1 1 1 +1 1 1 1 0 0 0 0 1 0 1 0 0 +0 0 1 1 1 0 1 1 0 1 1 0 1 +0 0 0 1 1 1 1 1 0 1 1 0 0 +1 1 1 1 1 1 0 1 1 1 0 0 1 +1 1 0 1 0 0 0 1 1 1 0 0 1 +1 1 0 1 0 1 1 1 1 1 1 1 0 +1 0 1 1 0 0 1 0 0 0 0 0 0 +1 1 1 0 1 0 0 0 0 0 0 1 0 +1 0 1 0 1 0 1 0 1 1 1 0 1 +0 0 0 0 1 1 1 0 1 1 0 1 1 +0 1 1 0 1 1 1 0 0 1 1 0 0 +1 0 0 0 0 0 1 1 1 0 1 1 0 +0 0 1 0 1 0 0 1 0 1 1 0 0 +1 0 1 0 0 1 1 1 0 0 0 0 0 +1 0 0 1 0 1 0 1 0 1 0 0 0 +0 0 0 1 1 0 0 1 0 0 0 0 0 +0 1 0 0 0 0 0 0 0 1 1 1 1 +1 1 1 0 0 0 1 1 0 1 0 0 1 +0 1 0 0 0 1 1 1 0 0 1 0 1 +0 1 1 0 1 1 1 0 0 1 1 1 1 +0 1 0 1 0 1 1 0 0 1 1 1 1 +0 1 1 1 0 0 0 1 0 0 1 1 1 +1 0 1 1 0 1 1 0 1 1 0 0 1 +1 1 0 0 1 1 1 1 1 0 0 0 0 +0 0 0 1 0 0 1 1 0 0 1 1 0 +0 0 1 0 1 0 1 1 0 0 1 1 0 +1 1 0 0 0 0 1 1 1 0 1 0 1 +1 0 1 0 1 0 0 0 0 0 1 1 1 +1 0 1 0 0 0 1 1 1 1 0 1 1 +0 1 1 0 0 1 1 0 0 0 1 1 1 +0 1 0 0 1 0 0 1 1 0 1 0 0 +1 1 1 0 1 0 1 1 0 1 1 0 0 +1 1 1 1 0 0 0 0 1 0 0 0 0 +0 1 0 1 0 0 0 1 1 1 0 0 1 +1 1 1 0 1 1 1 0 0 0 0 1 0 +0 0 1 0 1 0 0 1 0 0 1 1 0 +1 0 0 1 1 0 0 0 1 1 0 0 1 +0 1 0 0 1 1 1 0 1 1 0 1 1 +0 0 1 1 0 1 0 0 1 1 1 0 0 +0 1 1 0 0 1 0 1 0 0 1 1 0 +1 0 0 0 1 0 1 1 1 0 1 1 0 +1 0 0 1 1 1 0 0 1 1 1 0 1 +0 1 1 0 1 1 1 1 0 1 0 1 0 +1 0 0 0 1 0 1 0 1 0 0 0 1 +0 1 1 0 0 0 1 1 1 1 0 0 1 +0 1 0 0 0 1 0 0 1 0 0 0 0 +1 0 0 1 1 0 1 0 1 1 1 0 0 +0 1 0 0 0 1 0 0 1 0 1 1 1 +0 0 0 1 0 1 1 0 0 1 0 1 0 +1 0 1 1 0 0 1 1 1 1 1 1 0 +0 1 0 1 1 0 1 1 0 0 1 1 1 +1 1 1 0 1 0 1 1 0 1 0 1 0 +0 1 1 1 1 1 0 1 1 1 1 0 1 +1 0 0 0 0 0 0 0 1 0 0 1 1 +1 1 1 1 1 1 1 1 0 1 0 0 0 +1 1 1 1 0 0 1 0 1 0 1 1 0 +0 1 1 0 0 0 1 0 0 1 0 1 1 +1 1 1 0 0 0 1 0 1 0 1 1 0 +0 0 1 1 0 0 1 0 0 0 0 0 0 +0 1 1 0 1 1 1 0 1 1 1 1 0 +0 0 1 1 0 1 1 1 1 0 0 1 0 +1 1 1 1 1 1 1 1 0 0 0 1 1 +0 0 0 0 0 1 1 0 0 0 0 1 1 +1 1 1 0 0 1 1 0 1 0 0 1 0 +0 1 1 0 0 0 0 0 1 0 0 0 1 +0 1 0 0 0 0 0 1 0 1 0 0 0 +0 1 0 1 0 1 0 0 0 1 1 0 1 +0 1 0 0 0 0 1 1 1 1 0 0 1 +0 0 0 0 0 1 1 0 0 1 0 1 1 +1 1 1 0 1 1 0 0 0 1 1 0 0 +0 1 1 0 0 0 0 1 0 0 0 0 1 +1 1 0 1 1 0 1 1 1 1 0 0 0 +1 1 1 1 0 1 0 1 1 1 0 0 0 +0 0 0 0 1 1 1 1 0 0 1 1 0 +0 0 1 0 1 0 1 1 1 1 0 1 0 +1 0 0 1 1 0 0 1 1 0 0 0 1 +0 1 0 1 1 1 1 0 0 1 0 0 0 +1 1 0 0 1 1 1 1 0 1 1 0 0 +0 0 1 0 0 1 1 1 1 0 0 0 0 +0 1 1 1 1 0 0 0 0 0 1 0 0 +1 1 0 0 0 0 1 1 1 1 0 1 0 +0 0 1 1 1 0 0 0 0 0 1 0 1 +0 1 0 1 1 1 1 1 0 1 1 0 1 +0 1 1 1 0 1 0 0 1 0 1 1 0 +0 1 0 1 1 0 0 1 0 1 1 1 0 +1 0 0 0 0 0 0 1 0 1 1 0 0 +0 0 0 0 0 0 0 1 1 0 0 0 1 +1 0 1 1 0 0 0 1 0 1 0 1 0 +1 1 1 1 0 1 0 0 1 0 1 1 0 +1 1 1 0 0 1 1 0 0 1 0 1 0 +1 1 0 0 0 1 0 0 0 1 0 1 0 +1 1 1 0 0 1 1 1 0 0 0 0 1 +1 0 0 1 1 1 1 1 0 1 0 0 1 +0 1 1 1 0 1 0 0 0 1 0 1 1 +0 1 1 0 0 1 0 0 0 0 1 0 1 +1 0 0 1 1 0 1 0 1 0 1 1 1 +0 0 1 1 0 1 1 0 1 1 1 0 1 +0 1 0 0 0 0 1 0 0 1 1 1 0 +0 0 1 1 0 1 0 0 1 0 1 0 1 +0 0 1 0 0 1 0 1 0 1 0 1 0 +0 0 0 1 0 0 0 1 1 1 0 1 0 +0 0 0 0 0 1 0 1 1 1 0 1 0 +0 0 1 0 0 1 1 0 1 0 0 1 0 +1 0 0 0 1 0 1 1 0 0 0 0 1 +0 0 1 0 1 0 1 0 0 1 0 1 1 +1 1 1 1 0 0 1 0 1 1 1 0 0 +0 1 0 0 0 0 0 0 0 1 1 1 0 +0 0 1 0 0 1 0 1 1 0 0 0 0 +1 0 1 1 1 1 0 1 0 1 1 1 0 +1 0 1 0 1 0 1 0 1 1 1 0 1 +1 0 0 0 0 0 0 1 0 0 0 0 1 +1 1 0 0 1 0 1 1 1 0 0 1 0 +1 0 0 0 0 1 0 0 1 1 0 1 0 +1 1 0 0 1 0 0 0 1 1 0 0 0 +0 1 0 0 1 1 0 1 0 1 1 0 1 +1 1 0 1 1 1 1 0 1 1 1 0 0 +1 0 0 1 0 0 1 0 1 1 0 0 0 +0 0 1 1 1 0 1 0 0 0 0 0 1 +0 1 1 0 0 1 1 0 0 1 1 1 0 +0 1 1 1 1 1 1 1 0 1 1 0 1 +1 1 1 0 1 0 1 1 0 0 1 1 1 +0 1 1 0 1 1 1 1 0 1 1 0 1 +0 1 1 0 0 1 0 0 0 1 1 1 0 +0 0 1 0 1 1 0 1 1 0 0 0 0 +0 1 1 0 1 0 1 0 1 0 1 1 1 +0 1 0 0 0 1 1 1 1 1 0 0 1 +1 0 1 0 0 1 0 0 1 0 1 1 1 +0 1 1 0 0 1 1 1 0 0 0 0 1 +0 0 1 0 0 0 0 0 0 1 0 0 0 +0 0 0 1 1 0 1 0 0 1 1 1 1 +0 0 1 0 1 0 0 1 1 0 0 0 1 +0 0 1 1 0 1 1 0 0 1 1 0 1 +1 0 0 0 0 0 0 0 1 1 1 0 0 +1 0 1 0 0 1 1 1 0 1 0 1 1 +0 1 0 1 0 1 1 1 1 1 0 1 1 +1 0 1 0 1 0 1 1 0 0 0 0 1 +0 1 0 1 0 1 0 0 0 1 1 0 0 +1 0 1 0 1 0 0 1 1 0 0 1 1 +0 0 1 0 0 0 1 0 0 0 1 0 0 +0 1 1 0 0 0 0 0 1 1 1 1 0 +1 1 1 1 1 1 0 1 0 1 1 1 0 +1 0 1 1 0 0 0 1 0 1 0 1 0 +0 1 0 0 0 1 0 1 0 1 0 1 1 +0 0 1 1 1 1 1 0 0 0 0 0 0 +1 0 1 0 0 0 0 1 1 0 0 0 0 +1 0 0 1 1 1 1 0 1 0 0 0 1 +0 1 0 0 1 0 1 0 0 1 0 0 0 +1 0 1 1 0 1 1 1 0 0 1 0 1 +0 0 1 1 1 1 0 0 1 0 0 1 1 +0 0 1 0 0 1 1 1 0 0 1 0 1 +1 0 0 0 1 0 1 0 0 1 0 1 1 +1 1 0 1 0 0 0 0 1 1 0 1 0 +0 0 0 1 1 1 1 1 1 0 1 1 0 +0 0 0 0 1 1 1 0 0 1 0 1 0 +0 0 0 1 0 1 0 1 1 0 1 0 0 +1 1 0 0 1 0 0 1 1 1 1 1 0 +0 1 1 1 1 1 1 0 1 1 0 1 1 +0 0 0 0 0 1 1 0 1 1 0 0 0 +0 0 1 0 1 1 0 0 1 0 1 0 1 +1 0 0 0 0 0 1 0 0 1 0 1 1 +1 1 1 0 0 1 0 0 0 0 1 0 0 +0 0 1 0 1 0 0 1 0 0 1 1 1 +1 1 1 0 1 0 1 1 0 0 0 0 1 +0 1 1 0 1 1 0 0 1 0 0 1 1 +0 0 1 0 1 0 1 0 0 0 1 1 1 +0 0 0 1 0 1 1 0 0 0 0 0 0 +0 0 0 1 1 0 0 0 0 1 1 1 0 +1 1 1 0 1 0 1 0 0 1 0 0 0 +1 1 0 1 0 0 0 1 1 1 0 0 0 +1 1 0 1 1 0 1 1 0 0 1 1 0 +1 0 0 1 1 0 1 0 1 1 1 0 1 +1 0 1 0 0 0 0 1 0 1 0 1 1 +1 0 1 0 0 0 1 1 1 1 1 0 1 +1 1 0 1 1 0 0 1 0 0 0 0 0 +0 0 0 1 1 1 1 1 0 0 0 0 0 +0 1 1 0 1 1 1 1 1 0 1 0 1 +0 0 0 1 1 0 1 0 0 1 1 0 0 +0 0 0 1 0 0 0 1 0 0 0 0 1 +1 0 0 1 1 1 0 0 0 0 1 0 0 +0 1 1 0 0 0 0 1 0 0 0 0 1 +0 0 0 1 0 0 1 0 1 1 1 0 1 +1 0 0 1 1 0 0 1 1 0 0 1 1 +0 0 0 1 0 1 0 1 0 1 1 0 0 +1 1 1 0 1 1 0 0 1 1 0 0 0 +0 0 0 0 0 0 1 0 1 0 1 1 1 +0 0 1 1 1 1 1 0 1 1 1 0 0 +0 0 1 1 0 1 0 0 0 1 0 1 0 +0 0 1 0 1 0 0 1 0 1 1 0 0 +1 1 1 1 0 1 0 1 0 1 0 0 1 +1 1 1 1 1 1 1 0 1 0 0 0 1 +1 1 1 1 1 0 0 1 0 0 0 0 1 +0 0 1 1 1 1 1 1 0 0 0 1 1 +1 0 1 1 1 1 1 0 0 0 1 0 0 +1 0 0 0 0 0 1 1 1 0 1 0 1 +1 1 1 1 0 0 1 0 0 1 0 1 0 +1 1 1 0 1 0 1 1 0 0 1 0 0 +1 0 0 1 1 1 0 1 1 0 0 1 1 +0 1 1 1 1 1 1 1 0 0 1 0 1 +1 0 1 1 1 1 1 0 0 0 1 1 0 +1 1 0 1 0 1 1 0 0 1 0 0 1 +1 1 1 1 1 0 1 0 1 1 1 1 0 +1 1 0 0 0 1 1 0 0 0 1 0 1 +0 0 1 0 0 0 1 1 1 0 0 0 0 +0 0 1 0 0 1 1 1 0 0 0 1 0 +0 1 1 0 1 0 0 0 1 1 0 1 0 +0 0 0 0 0 1 0 0 1 1 0 0 1 +0 0 1 1 0 1 0 0 1 1 0 1 1 +0 0 1 1 1 1 1 1 0 0 1 0 0 +0 1 1 0 1 0 1 0 0 0 1 0 0 +1 1 0 1 1 1 0 0 0 1 1 0 0 +0 1 1 1 1 0 0 1 1 0 0 0 1 +1 1 0 1 0 0 1 0 0 1 1 1 0 +0 1 1 1 0 1 0 0 0 0 0 0 1 +0 0 0 0 0 0 0 0 1 1 0 0 1 +1 0 0 1 1 0 1 1 0 1 0 0 0 +0 0 1 0 0 0 0 0 1 0 1 0 1 +1 1 1 0 0 0 1 1 0 1 0 1 1 +0 1 1 1 1 0 0 1 0 0 0 1 1 +1 0 0 1 0 0 0 0 1 1 0 0 0 +1 0 0 0 1 0 0 1 0 0 1 0 0 +1 0 0 0 1 1 0 1 1 0 0 1 1 +0 1 0 1 1 1 0 0 0 0 0 1 0 +0 0 0 1 1 1 0 0 1 0 1 0 0 +1 1 0 1 0 1 1 1 0 0 0 1 1 +0 1 1 1 0 0 1 1 0 1 0 1 1 +1 1 1 0 0 0 1 1 0 1 0 0 0 +0 0 1 0 0 0 1 1 1 1 1 0 0 +1 0 0 1 0 0 1 0 1 0 0 1 1 +0 1 1 0 0 0 0 0 1 1 0 0 1 +0 1 1 0 0 0 0 1 0 0 1 0 1 +0 0 1 1 1 1 1 1 1 0 0 0 0 +0 1 1 1 0 1 0 1 1 1 1 1 1 +0 0 0 0 1 1 0 0 0 1 0 1 0 +1 1 1 1 1 0 0 1 1 0 0 1 0 +1 1 0 0 1 0 0 1 0 1 0 1 0 +0 1 0 1 1 1 1 0 0 1 1 1 1 +0 0 0 0 0 1 0 1 0 1 0 0 1 +1 1 1 0 1 1 1 1 1 1 1 0 1 +0 0 1 1 1 0 0 1 0 1 0 0 0 +0 1 1 0 0 0 1 1 1 1 0 0 1 +0 1 1 1 0 1 1 0 1 1 1 0 1 +1 0 1 0 0 1 0 1 0 0 0 0 1 +1 0 1 1 0 1 0 0 1 1 1 0 0 +0 0 1 1 1 0 0 0 0 1 0 1 0 +0 1 1 0 1 1 0 1 1 1 0 1 1 +1 1 0 0 0 1 1 1 0 1 1 1 0 +0 1 1 1 0 1 1 0 1 0 1 1 1 +1 1 1 1 1 1 1 1 1 0 0 1 0 +0 0 1 0 0 1 0 0 1 0 1 1 0 +1 0 1 1 0 1 1 0 1 0 1 0 1 +1 1 1 0 1 1 0 0 1 1 1 1 1 +1 0 1 1 0 0 0 0 0 1 0 1 1 +0 0 0 1 1 1 0 1 1 1 0 0 1 +1 1 0 0 1 1 0 0 1 1 0 1 0 +1 0 0 1 1 0 1 0 1 1 1 0 1 +1 0 0 0 1 1 0 1 0 0 1 1 0 +0 1 0 0 0 1 1 0 0 0 1 0 1 +1 1 1 0 1 0 0 0 0 0 0 1 0 +0 0 0 1 1 1 1 1 1 1 0 0 1 +1 0 0 1 1 1 0 0 0 1 1 1 0 +1 0 1 1 0 0 1 0 1 1 1 0 0 +0 1 0 0 0 1 1 0 0 1 1 0 1 +1 0 1 1 0 1 0 0 1 0 1 1 0 +1 1 1 0 1 1 0 0 0 0 1 0 0 +0 1 0 1 1 0 0 1 1 0 1 0 1 +1 0 1 0 0 0 0 0 0 0 0 0 1 +1 1 0 1 1 1 0 1 0 1 0 0 0 +1 0 0 1 1 0 0 1 0 0 0 1 0 +0 1 0 0 0 0 0 0 0 0 0 1 0 +1 1 1 0 1 1 0 0 0 0 0 0 0 +0 0 1 1 1 0 1 0 0 1 1 0 0 +1 0 1 0 1 1 0 0 0 0 0 0 1 +0 1 1 1 1 0 1 0 1 0 0 1 0 +0 1 0 0 1 0 0 0 1 0 1 1 0 +1 0 1 1 0 0 1 1 0 1 0 0 1 +1 1 0 1 1 1 0 0 1 1 0 0 0 +1 0 0 1 1 1 1 1 1 0 0 1 1 +0 0 0 0 1 0 1 0 0 1 0 0 0 +1 0 0 0 1 1 0 0 1 0 1 1 0 +0 1 0 1 1 1 1 0 1 1 0 1 0 +0 1 1 1 0 1 0 1 1 1 0 1 1 +1 1 0 1 0 0 1 0 1 0 1 1 0 +1 1 0 1 0 0 0 1 0 0 0 1 1 +0 0 0 0 0 1 1 1 0 0 0 1 1 +0 1 0 0 1 1 0 1 1 1 1 1 0 +1 0 1 1 0 0 0 1 0 1 1 1 0 +1 1 0 1 1 1 0 0 1 1 1 1 1 +1 1 1 0 1 0 1 0 1 1 1 0 0 +1 1 0 1 0 1 0 0 1 1 0 1 0 +1 0 1 1 0 1 0 1 0 0 0 1 0 +1 1 1 1 1 0 0 1 1 0 1 1 0 +0 0 1 1 0 0 1 0 1 1 1 1 0 +1 0 0 1 0 1 0 1 1 1 0 0 0 +0 1 0 0 1 1 1 1 1 1 1 1 1 +0 1 1 1 0 1 0 0 1 1 0 1 1 +0 0 1 0 0 1 0 0 0 0 1 0 0 +0 1 0 1 0 1 1 1 0 0 1 0 1 +1 0 0 1 0 0 0 1 0 1 1 1 1 +0 1 0 0 1 1 0 0 0 0 0 1 1 +1 0 1 0 1 0 1 1 0 1 0 0 0 +0 1 1 0 0 0 0 0 0 0 0 1 1 +0 0 1 0 1 1 1 1 0 1 0 1 1 +0 1 0 1 0 0 0 1 0 1 1 0 1 +1 1 0 0 1 0 1 1 0 1 0 1 0 +1 0 0 0 1 0 0 0 1 1 1 0 0 +1 0 1 1 0 0 1 0 1 1 0 0 1 +1 1 1 1 0 0 1 0 1 0 0 0 0 +0 0 1 1 0 1 1 1 0 1 1 1 0 +0 0 1 1 1 0 1 1 1 1 0 1 1 +0 0 1 1 1 0 0 1 0 0 0 1 0 +0 0 0 0 0 1 1 1 1 1 0 0 0 +0 0 1 1 0 0 1 1 0 1 0 1 0 +0 0 0 1 1 0 0 0 0 0 0 1 0 +0 0 1 0 1 0 0 0 0 1 1 0 0 +0 0 0 1 1 1 0 1 0 0 1 0 1 +1 1 0 1 1 0 0 1 1 0 0 0 0 +0 1 1 1 1 1 1 0 1 1 0 0 1 +1 0 1 1 1 0 1 0 1 0 0 0 0 +1 0 1 1 1 1 1 1 0 0 1 1 0 +0 0 0 0 1 0 0 1 0 1 1 1 0 +1 1 1 0 0 0 1 0 1 1 0 1 1 +0 1 0 1 1 1 0 0 0 0 0 1 1 +1 1 1 0 0 1 1 0 0 1 0 1 1 +0 0 1 1 0 0 0 1 0 1 0 0 0 +0 1 0 0 1 1 1 1 0 0 0 0 1 +0 1 1 1 0 0 1 1 0 0 1 0 0 +1 1 1 1 0 1 1 1 0 0 1 1 0 +0 0 1 1 0 1 0 1 0 1 0 0 0 +0 1 1 0 0 0 1 1 1 1 1 0 0 +1 1 1 1 0 0 1 1 1 1 0 0 1 +0 1 1 1 0 1 1 1 1 1 1 1 0 +1 0 0 0 0 1 0 1 0 0 0 1 1 +0 0 0 1 1 0 0 0 1 1 1 0 0 +0 0 1 1 0 0 0 1 1 0 1 0 0 +1 1 1 0 0 1 1 1 0 1 0 1 0 +0 0 1 0 0 1 0 0 1 1 0 1 0 +0 0 0 1 0 1 1 1 0 1 1 0 0 +0 0 0 0 1 0 0 1 0 0 1 1 1 +0 0 0 1 0 1 1 1 0 0 0 1 1 +1 0 1 0 0 0 0 1 0 0 1 0 1 +0 0 1 0 1 1 0 1 1 0 0 0 1 +1 0 1 1 1 0 1 0 0 0 0 0 1 +0 1 1 0 1 0 1 0 0 0 0 0 1 +0 1 1 0 0 1 0 0 1 0 0 1 0 +1 1 1 1 0 1 1 1 1 1 0 1 1 +1 1 1 0 0 1 1 1 1 1 0 1 1 +1 1 1 0 1 1 1 0 0 1 1 1 0 +0 0 1 1 0 1 1 1 0 0 0 0 1 +0 1 1 1 1 0 1 0 1 0 1 1 1 +0 0 1 1 0 0 0 1 1 1 1 0 0 +0 1 1 1 1 0 1 1 0 0 1 1 0 +0 0 1 0 1 1 0 0 0 1 0 0 0 +1 0 1 1 0 1 1 0 1 0 0 1 1 +0 0 0 1 0 1 1 0 0 1 0 1 0 +0 1 1 0 1 1 0 0 1 0 0 0 0 +0 0 0 1 0 1 1 0 0 1 0 1 0 +1 1 0 0 1 1 0 0 1 0 0 1 1 +0 1 0 1 0 0 1 0 0 0 0 1 0 +1 1 0 0 0 0 1 1 0 1 1 0 0 +1 0 0 1 1 1 1 1 1 0 1 1 0 +0 0 0 0 1 0 1 0 0 1 0 0 0 +1 1 1 0 1 1 0 1 1 0 1 1 1 +0 0 1 1 0 1 0 0 1 0 1 0 0 +1 1 1 1 1 0 0 0 1 0 1 1 0 +0 1 0 1 0 1 1 1 1 0 1 0 0 +0 0 1 1 1 0 1 0 1 0 0 0 0 +0 1 0 0 0 1 1 1 0 0 0 0 1 +1 0 0 1 1 0 1 0 1 1 1 1 0 +1 1 0 1 0 1 1 0 0 1 0 1 0 +1 1 1 0 0 0 1 0 1 1 0 1 0 +0 0 1 0 0 0 1 0 0 0 0 1 1 +0 0 0 0 1 0 1 1 1 1 1 1 1 +1 0 0 0 1 0 1 0 0 0 0 1 0 +1 1 1 0 1 1 1 0 0 0 0 0 0 +0 0 0 0 0 1 1 0 0 1 0 1 0 +1 1 0 0 0 0 0 0 1 0 1 0 1 +0 1 0 1 0 1 0 0 1 1 0 0 1 +0 1 1 0 0 0 1 1 1 0 0 0 0 +1 0 0 1 0 1 1 1 1 1 0 1 1 +0 0 0 0 1 0 0 0 1 1 1 0 0 +0 1 1 1 0 1 0 1 0 0 1 0 1 +0 1 0 1 1 0 1 1 1 1 1 1 0 +1 0 0 0 0 1 1 1 0 0 0 0 1 +0 1 0 1 1 0 1 0 0 1 0 0 0 +1 1 1 0 1 1 0 0 1 1 0 1 0 +1 1 1 1 1 1 1 0 1 1 1 1 1 +1 0 1 0 1 1 1 1 1 1 0 1 0 +0 0 0 0 0 1 1 1 0 1 1 1 1 +0 1 1 0 0 1 0 0 1 0 0 0 1 +0 0 1 1 1 1 1 0 1 1 0 1 0 +0 0 1 0 0 0 0 1 0 1 0 1 0 +1 1 0 0 1 0 0 1 0 0 1 0 1 +1 1 0 0 1 0 1 1 1 0 1 1 1 +1 1 1 0 1 1 1 1 1 1 0 0 0 +1 1 0 0 0 0 0 1 1 1 1 0 0 +0 0 1 0 1 0 0 0 1 0 1 1 0 +1 1 1 1 1 1 1 1 1 0 1 0 0 +0 0 1 1 0 1 1 0 0 1 1 0 1 +1 1 0 0 1 1 1 0 0 0 1 0 1 +1 0 1 1 0 1 1 1 0 1 1 0 0 +1 0 0 1 0 1 1 1 0 1 1 0 0 +0 1 1 0 1 1 1 1 1 0 1 0 0 +0 0 0 1 1 0 1 0 0 1 1 1 0 +0 0 1 1 1 0 0 0 0 1 0 0 0 +0 1 1 0 1 1 0 0 1 1 0 1 0 +1 1 1 1 1 0 1 1 1 1 1 0 0 +0 0 1 0 1 0 0 0 0 0 1 1 0 +0 0 0 0 1 0 1 1 0 0 1 0 1 +1 1 0 1 0 0 0 1 1 1 0 0 0 +1 0 1 1 1 1 1 1 1 0 1 1 0 +1 1 1 1 0 1 1 1 1 0 1 1 1 +0 1 1 1 1 0 1 0 0 0 1 0 0 +0 1 1 0 0 1 0 0 0 0 1 0 1 +1 0 1 0 0 1 0 0 0 0 1 1 0 +0 0 0 0 0 0 0 0 1 1 1 1 1 +1 1 1 1 1 1 0 0 1 0 1 1 1 +0 0 1 1 0 0 1 0 1 0 0 1 0 +1 1 1 0 0 0 1 1 1 1 0 0 1 +0 0 0 0 1 0 1 0 1 0 0 1 0 +1 1 0 1 1 1 1 0 1 1 0 0 1 +0 1 1 1 1 0 0 0 1 0 1 1 0 +1 0 0 1 0 0 0 1 1 0 0 1 1 +0 1 1 1 0 1 0 1 0 1 1 1 1 +0 0 0 0 1 0 0 1 0 1 1 1 1 +0 1 0 1 0 1 1 1 0 1 1 0 1 +1 1 1 0 1 0 1 0 0 0 1 0 0 +0 1 0 1 0 0 0 0 1 1 1 0 0 +0 1 1 0 0 1 1 1 1 1 1 1 1 +0 0 0 1 0 1 1 1 0 0 1 0 0 +1 0 0 0 0 1 1 1 0 0 1 0 0 +0 0 0 0 1 0 0 1 0 1 0 1 1 +0 0 1 0 1 0 1 0 0 1 1 1 1 +1 0 1 1 1 0 0 1 1 1 1 1 1 +1 1 0 0 0 0 0 1 1 1 1 1 1 +1 0 0 1 0 1 1 1 0 0 0 0 1 +0 1 0 0 1 1 1 1 1 1 1 0 1 +1 0 1 1 0 1 0 1 1 0 1 1 1 +1 0 1 0 1 0 1 0 1 0 0 0 0 +0 1 0 0 1 1 1 1 1 1 1 0 0 +0 1 1 0 1 0 1 0 0 1 0 1 1 +1 1 1 1 1 1 1 0 0 1 1 1 0 +0 1 0 0 0 0 0 0 1 1 0 1 0 +0 1 1 1 1 0 0 0 1 1 1 0 1 +1 1 1 1 1 1 1 1 0 1 1 0 0 +0 0 0 1 0 0 0 1 0 0 1 0 0 +0 0 1 0 0 1 1 1 1 1 0 1 0 +1 0 0 1 1 1 0 0 1 0 1 0 0 +1 1 1 0 1 0 0 1 1 1 1 1 0 +0 0 1 1 1 1 1 0 1 1 0 1 0 +1 1 0 0 0 0 1 0 1 1 1 1 0 +1 0 0 0 1 1 0 1 1 1 0 0 0 +0 1 1 1 1 0 1 1 1 0 0 0 1 +0 1 0 1 0 0 0 0 0 1 1 0 1 +0 0 1 0 0 1 1 1 1 0 1 1 1 +0 0 1 0 1 1 0 0 0 1 1 0 0 +1 1 1 1 1 1 0 1 1 1 1 1 1 +0 0 1 1 1 1 0 1 0 1 1 1 1 +1 1 1 1 0 0 1 1 1 0 0 1 0 +0 0 0 0 0 1 1 1 0 1 0 0 1 +1 0 1 0 1 1 1 0 0 0 1 1 1 +0 0 1 1 0 1 0 1 0 0 0 0 0 +1 0 1 0 0 0 1 1 0 1 1 1 1 +1 1 1 1 0 0 1 1 0 0 1 1 1 +0 1 0 1 0 1 1 1 0 0 0 0 0 +0 1 0 0 0 0 0 0 1 0 1 0 1 +0 1 0 0 0 1 1 0 1 1 1 1 1 +0 0 0 1 1 0 0 1 1 1 1 1 0 +1 1 0 1 0 1 1 1 0 0 0 1 1 +1 1 0 1 0 1 1 0 1 1 1 1 1 +0 1 0 1 0 1 0 1 0 0 1 0 1 +1 0 0 0 0 0 0 0 0 1 1 1 0 +1 0 1 0 1 0 0 0 0 0 0 0 0 +1 0 0 1 0 1 0 1 1 0 0 0 1 +1 0 1 0 0 0 1 1 1 0 0 0 1 +1 1 0 1 0 0 1 1 0 0 0 1 1 +0 0 0 0 0 1 0 0 1 1 0 0 0 +0 1 0 1 0 0 0 1 0 1 1 1 0 +0 1 1 0 0 1 1 0 1 0 0 0 1 +1 1 0 1 0 0 0 0 1 1 0 1 0 +0 1 1 1 0 0 0 0 0 1 0 0 0 +1 1 0 1 0 0 0 1 0 1 0 1 1 +0 0 1 0 1 0 0 0 1 0 0 1 0 +0 1 0 1 0 1 1 0 1 1 1 1 1 +0 1 0 1 1 0 0 1 1 0 0 1 0 +1 0 1 0 0 0 0 1 0 1 1 1 1 +1 1 0 0 1 0 0 0 1 1 0 1 1 +1 1 1 1 0 1 0 0 0 1 0 1 1 +0 1 0 0 0 0 1 1 0 0 0 0 1 +1 1 1 1 1 1 0 1 1 1 1 1 1 +1 0 1 0 0 1 0 1 0 0 0 0 1 +1 0 1 0 0 1 0 1 0 1 0 0 1 +1 0 1 0 1 1 0 0 1 1 1 0 1 +1 0 1 0 0 1 0 1 1 0 0 0 1 +1 1 0 1 0 1 1 1 1 1 1 0 0 +1 0 1 1 0 0 1 1 1 1 0 1 0 +1 1 0 0 1 0 1 1 1 1 1 1 1 +0 1 1 0 1 0 0 0 1 1 0 0 1 +0 0 0 0 0 0 1 0 1 1 0 0 0 +1 1 1 1 1 0 0 1 1 1 1 1 0 +1 1 0 1 0 0 1 0 0 0 1 1 0 +0 1 1 0 0 0 1 1 1 1 0 0 1 +1 0 0 1 1 1 0 0 1 0 0 1 1 +0 0 1 1 0 1 1 1 0 0 0 0 1 +0 0 0 1 0 0 1 0 1 1 1 1 1 +0 1 1 1 1 0 1 1 0 0 1 1 0 +0 1 0 1 1 1 1 0 1 0 1 1 1 +1 0 1 1 1 1 1 0 0 0 0 1 0 +0 0 1 0 0 1 0 1 0 1 0 0 1 +0 1 0 0 1 1 0 0 0 1 0 1 0 +1 0 1 0 0 1 0 0 0 1 1 1 1 +0 0 1 0 0 0 0 1 0 0 1 0 0 +1 0 1 0 0 0 1 0 0 0 0 0 0 +0 0 0 0 0 1 1 1 1 0 0 0 1 +0 1 0 1 0 1 0 0 1 1 0 1 1 +1 0 0 1 0 0 0 1 0 1 1 1 0 +1 1 0 1 1 0 0 0 0 1 1 1 1 +1 0 0 0 1 1 1 1 0 1 0 0 1 +1 0 1 0 0 0 1 0 1 0 1 0 0 +1 1 0 1 1 1 1 0 1 1 0 0 1 +0 0 0 1 1 0 0 1 0 0 1 1 0 +1 0 0 0 0 0 1 0 0 0 0 0 0 +0 1 0 1 0 0 1 0 0 1 1 1 1 +0 1 0 0 0 0 1 1 1 1 1 0 0 +0 1 1 1 1 1 0 1 0 1 1 1 1 +0 0 1 1 1 0 0 1 0 1 1 0 1 +1 1 1 1 0 1 1 0 0 0 1 0 1 +0 1 0 1 0 0 1 1 1 1 1 0 1 +1 0 1 1 1 1 1 1 0 0 0 0 1 +0 1 1 0 0 1 1 0 1 1 0 0 1 +0 1 0 1 0 0 1 1 1 0 1 0 1 +0 0 0 0 0 0 1 0 0 1 1 0 0 +0 1 1 1 0 0 0 1 1 0 1 0 1 +0 1 0 1 0 0 0 0 0 1 0 1 1 +1 0 0 1 0 0 0 1 0 1 1 0 0 +0 1 0 1 1 0 0 0 1 0 1 1 1 +1 0 1 0 1 0 0 0 1 0 1 1 1 +1 1 0 1 0 1 1 1 1 0 1 1 0 +0 0 1 0 1 0 1 1 1 1 0 0 0 +1 0 1 0 1 0 1 1 1 0 1 0 1 +1 0 1 1 0 1 0 0 0 0 1 0 0 +0 0 0 0 0 0 0 0 0 1 1 0 0 +1 0 1 0 0 1 0 1 1 1 1 1 1 +1 0 1 1 1 1 0 0 0 1 0 0 0 +1 1 1 0 0 0 0 1 0 0 1 1 1 +1 1 0 1 1 0 0 0 0 0 0 1 0 +1 1 1 0 0 0 0 0 1 0 0 1 0 +0 1 1 0 0 1 1 1 0 1 1 0 1 +0 1 1 0 1 0 1 1 0 1 0 0 0 +0 0 0 1 0 0 0 1 1 0 1 1 0 +1 1 0 1 1 1 1 1 1 1 1 0 1 +1 0 0 1 0 0 0 1 1 0 0 1 1 +1 0 1 1 1 1 0 0 1 0 0 0 0 +1 1 1 0 0 0 1 0 1 1 1 0 0 +0 0 0 0 0 0 1 0 1 1 1 1 0 +1 1 0 1 1 1 0 1 1 0 0 1 0 +1 1 0 0 1 0 0 0 1 1 1 0 0 +1 1 1 0 1 0 1 0 1 0 0 0 1 +1 0 0 1 0 1 0 1 1 0 0 1 0 +0 1 1 0 1 0 0 1 1 0 1 0 1 +0 0 0 0 0 0 0 0 1 0 0 1 1 +0 1 1 0 1 0 1 1 1 0 1 0 1 +1 0 0 0 1 0 1 0 1 1 1 0 1 +1 1 1 0 0 0 0 1 0 1 1 0 1 +0 0 1 0 0 0 1 1 1 1 1 0 0 +1 1 1 0 1 1 1 1 0 0 0 1 0 +1 1 0 0 0 0 1 1 1 1 0 0 0 +1 1 0 0 1 1 1 1 1 0 0 1 0 +1 1 1 1 0 0 0 0 1 0 1 1 0 +0 0 0 0 0 1 0 0 1 1 1 1 0 +0 1 0 1 0 0 1 0 1 1 1 0 1 +1 1 0 1 1 0 0 0 0 1 0 1 0 +1 0 0 0 1 1 0 1 0 1 1 1 0 +0 1 0 1 1 0 1 0 0 1 0 0 1 +1 0 0 0 0 0 0 1 0 0 0 1 1 +1 1 1 1 0 0 0 0 1 0 0 0 1 +1 1 1 0 0 1 1 1 0 1 0 0 0 +0 1 1 1 1 0 0 1 0 0 1 0 1 +1 0 0 0 0 1 0 1 1 0 1 0 1 +0 0 1 1 0 1 1 1 1 0 0 1 0 +1 1 0 1 0 0 1 0 1 1 0 0 0 +0 0 1 1 1 0 1 0 0 1 1 1 1 +0 0 0 0 1 0 1 1 0 0 0 0 0 +0 0 0 1 0 0 1 1 0 0 0 0 0 +0 0 1 0 1 0 0 1 0 0 1 0 1 +1 1 1 1 1 0 0 1 1 0 0 0 0 +1 0 0 1 1 1 0 0 1 0 1 1 1 +0 0 1 0 0 0 1 1 1 0 1 1 0 +0 1 0 1 0 0 1 1 1 0 0 1 1 +0 1 1 0 1 1 1 0 1 1 0 1 0 +1 1 1 0 0 0 1 1 0 1 1 1 0 +1 1 1 1 1 0 0 0 1 0 0 1 0 +0 1 1 0 0 0 0 0 1 1 1 0 0 +1 0 0 0 0 0 0 1 1 0 0 1 0 +0 0 1 1 0 1 1 0 1 0 0 0 1 +1 0 0 1 1 0 0 1 1 0 0 1 0 +1 1 1 1 1 1 0 1 1 1 0 1 0 +1 0 0 0 0 0 1 1 1 1 0 0 0 +1 1 0 1 0 0 0 0 1 1 0 0 1 +0 0 0 0 0 1 1 0 0 1 0 0 0 +1 1 1 1 1 0 1 1 1 1 0 1 0 +0 0 1 1 1 1 0 0 0 1 1 0 0 +0 1 0 0 0 1 1 1 1 1 1 1 0 +0 0 1 0 1 1 0 0 1 0 1 1 0 +0 0 1 1 0 0 0 1 0 1 0 0 0 +0 1 0 1 0 0 1 1 1 1 1 0 1 +1 1 1 0 0 1 0 0 1 1 0 0 0 +1 0 1 1 1 1 0 0 1 0 0 1 0 +0 0 1 1 1 1 0 0 1 1 1 0 0 +0 0 1 1 0 0 0 1 1 1 1 0 1 +0 0 0 0 1 0 0 1 1 0 1 1 0 +0 1 1 1 1 0 0 0 0 1 1 0 1 +1 0 1 0 0 1 0 1 1 1 0 1 1 +1 0 0 0 0 0 0 1 1 1 1 0 1 +0 0 1 0 1 1 0 1 1 0 1 0 1 +0 1 1 0 0 1 0 1 0 1 0 0 0 +1 0 0 1 1 0 1 1 0 0 1 0 1 +0 0 1 1 1 0 1 1 0 0 0 1 0 +1 0 0 0 1 0 0 1 0 1 0 0 0 +1 1 1 0 0 1 0 1 0 0 0 1 1 +1 1 0 1 1 1 0 1 0 0 0 0 0 +0 1 1 0 1 1 1 1 0 1 1 0 0 +0 1 1 1 0 1 0 1 1 0 1 0 0 +0 0 1 1 0 0 0 1 0 1 1 0 1 +1 0 1 1 1 0 0 1 0 1 0 0 1 +1 0 0 1 1 1 1 0 0 0 1 0 0 +0 0 1 1 1 1 1 0 1 0 0 0 0 +0 1 0 1 1 0 1 0 1 1 0 0 1 +1 0 0 1 1 0 0 1 0 1 1 0 1 +0 0 0 1 0 0 1 1 0 0 0 0 1 +0 1 0 0 0 0 0 0 1 1 1 0 1 +1 1 0 0 1 0 1 0 1 1 1 1 1 +0 0 1 0 1 1 0 1 0 1 0 0 0 +1 0 0 0 1 1 1 1 1 0 1 1 1 +0 1 1 1 0 0 1 1 0 0 1 0 0 +1 0 0 1 1 1 0 1 1 1 1 0 1 +0 0 0 1 1 1 0 0 1 1 0 1 1 +0 1 0 0 1 1 1 0 1 0 1 0 1 +1 0 1 1 0 0 1 0 0 0 1 0 0 +0 0 1 0 1 1 1 1 0 1 1 0 0 +1 1 0 0 0 0 1 0 0 1 1 0 0 +0 0 0 1 1 1 1 0 0 1 0 0 0 +1 0 0 0 0 1 0 1 0 1 0 0 0 +1 0 0 1 1 0 0 0 0 0 0 1 0 +0 1 0 0 1 0 0 0 1 1 0 0 0 +0 1 0 1 0 1 1 0 1 0 1 0 1 +1 1 1 0 1 0 0 1 1 0 0 1 0 +0 0 1 0 1 1 1 0 1 1 1 1 1 +1 1 1 0 1 1 1 1 1 0 0 0 0 +1 0 0 0 0 1 0 0 1 0 1 1 0 +0 1 1 1 0 0 0 1 1 1 0 1 1 +1 1 0 1 0 1 1 0 0 1 1 1 1 +0 0 0 1 1 1 0 0 0 1 0 0 0 +0 1 0 1 0 1 1 1 1 0 1 1 1 +1 1 0 1 1 1 1 1 1 1 1 1 0 +1 0 1 1 0 1 1 0 1 1 1 0 1 +0 1 0 0 1 0 0 1 0 1 1 0 0 +0 0 1 0 0 0 1 1 0 0 0 0 0 +0 0 0 1 1 1 1 1 0 1 0 0 0 +0 0 0 1 0 1 1 1 1 0 0 1 0 +1 1 1 1 1 0 1 1 1 1 1 0 1 +1 0 0 1 0 1 1 1 0 1 1 0 1 +0 0 1 0 1 1 1 0 0 0 0 1 0 +1 1 0 0 1 0 0 1 1 0 1 1 0 +1 1 0 1 0 1 0 1 0 0 0 0 1 +0 1 1 0 0 0 0 1 0 0 0 1 1 +1 1 1 1 1 0 1 0 1 1 0 1 1 +0 1 0 0 1 1 1 0 0 0 1 0 1 +1 0 1 1 0 1 1 0 1 0 1 0 1 +1 0 1 1 0 0 1 1 0 1 1 1 1 +1 0 1 1 1 0 0 0 1 0 1 0 0 +0 0 1 1 0 1 0 1 1 0 1 0 1 +0 0 0 1 0 0 1 1 0 0 1 1 0 +1 1 1 1 1 1 0 1 0 0 1 0 1 +0 0 0 0 0 0 1 1 1 0 0 1 1 +1 0 0 1 0 1 1 0 0 1 1 1 1 +1 0 1 0 0 1 1 0 0 0 0 1 1 +1 1 1 0 0 0 0 1 0 0 1 1 1 +0 0 0 0 0 0 0 1 0 0 0 0 1 +0 0 0 1 1 1 1 0 0 0 1 0 1 +1 1 1 1 1 0 1 1 1 1 0 0 0 +0 0 0 0 0 1 1 0 0 0 0 0 0 +0 0 1 0 0 1 1 1 0 1 0 0 0 +1 1 1 1 0 0 1 1 1 1 1 0 1 +1 1 1 0 1 1 1 0 0 1 1 0 1 +0 0 0 1 1 1 1 1 0 1 1 1 1 +1 1 1 1 0 0 1 1 0 1 0 0 0 +0 1 1 1 1 0 1 1 1 0 1 1 1 +1 0 0 0 1 0 1 0 1 0 0 0 1 +1 0 0 0 0 0 1 1 1 0 1 1 1 +0 1 1 0 0 1 0 0 1 1 0 0 0 +1 0 0 0 1 1 1 0 1 1 0 1 1 +1 1 1 1 0 0 1 1 0 0 0 1 0 +1 0 0 0 1 0 0 0 0 0 1 1 1 +1 1 0 0 1 0 0 1 1 1 1 0 0 +1 1 1 1 1 1 1 1 0 0 0 0 0 +0 0 1 0 1 0 0 1 0 1 0 1 0 +1 0 1 1 1 1 1 0 1 0 1 0 1 +0 1 0 0 0 1 1 0 1 1 1 1 1 +1 1 0 0 1 1 0 0 0 0 0 1 0 +1 0 0 1 1 0 0 0 1 1 0 0 0 +1 0 0 0 1 0 0 0 0 1 0 1 1 +0 0 0 1 0 1 0 1 0 0 0 1 0 +0 0 0 1 1 1 1 1 0 0 0 0 0 +0 0 1 1 1 1 1 0 1 0 1 1 0 +1 0 1 0 1 1 0 0 1 0 1 1 1 +0 0 1 1 1 0 1 1 0 0 0 0 0 +1 0 1 1 0 1 0 0 1 0 0 1 1 +0 1 1 1 1 1 1 0 1 0 1 1 0 +0 1 0 1 1 1 1 0 1 1 1 1 0 +1 1 1 1 0 0 1 1 0 1 1 0 1 +1 0 1 1 1 0 0 0 0 0 0 0 1 +0 1 0 0 1 1 0 1 1 0 1 0 1 +0 1 0 1 0 0 1 1 0 1 0 1 1 +0 0 0 1 1 1 1 1 0 0 0 0 1 +0 0 1 1 1 0 1 1 1 0 0 0 1 +1 1 0 0 1 1 1 1 1 1 1 1 0 +0 0 1 0 1 0 1 1 0 1 0 1 0 +0 1 0 1 1 1 0 1 0 1 0 0 0 +1 0 1 1 0 0 0 1 1 1 1 1 1 +1 1 0 1 0 1 1 0 0 1 1 0 1 +1 0 0 0 0 1 1 0 0 0 1 0 0 +1 0 0 0 1 1 0 1 0 0 0 1 1 +1 0 1 1 1 1 1 1 0 0 0 1 1 +1 0 0 1 1 1 0 0 0 1 1 0 0 +1 1 1 1 1 1 0 1 1 0 1 0 1 +1 1 1 0 1 1 1 0 1 1 0 1 1 +0 0 0 0 1 0 0 1 0 1 0 1 1 +1 0 0 0 1 0 1 0 1 1 1 1 1 +0 0 1 1 0 1 0 1 0 0 1 0 1 +0 1 1 0 0 1 0 0 1 1 0 1 1 +1 0 1 0 0 0 0 1 1 0 0 0 1 +1 0 0 1 0 1 0 1 1 0 1 1 1 +1 1 0 1 1 0 0 0 0 0 0 1 0 +0 1 1 1 0 1 0 1 1 0 1 1 0 +1 0 0 1 0 0 0 0 0 0 1 0 1 +0 1 1 0 0 0 1 0 1 1 1 1 0 +1 0 0 1 0 0 1 0 1 0 1 0 1 +1 0 1 0 0 0 1 1 0 1 1 0 0 +1 0 0 0 1 1 1 0 0 0 0 0 0 +0 0 1 1 1 0 0 0 1 0 0 1 1 +1 1 1 1 0 1 0 0 1 1 1 0 1 +0 0 0 0 1 1 0 0 0 0 1 1 1 +0 1 0 1 0 1 0 1 0 0 0 1 0 +0 0 1 0 0 0 1 0 1 1 0 1 1 +0 1 1 0 0 1 1 1 1 0 1 1 1 +1 1 1 1 1 0 1 0 0 1 0 1 1 +1 1 0 0 1 1 0 1 0 0 1 0 0 +0 1 1 1 0 0 1 0 0 1 0 0 1 +1 0 0 1 0 0 0 1 0 1 1 1 1 +0 0 1 0 1 0 0 0 1 0 0 0 0 +0 0 0 0 0 1 1 0 0 1 0 1 0 +0 1 0 0 0 0 1 0 0 1 1 1 1 +0 1 0 1 0 1 1 0 0 1 1 0 1 +0 1 1 0 1 1 1 0 0 1 1 1 0 +0 0 1 1 1 1 1 0 0 0 1 0 0 +0 1 0 0 1 0 1 0 1 1 0 1 1 +1 1 0 1 1 1 0 0 1 0 0 0 0 +0 0 0 0 0 1 0 1 0 0 1 1 1 +1 0 0 1 0 0 1 0 0 0 1 1 1 +1 0 1 1 0 1 1 0 1 0 0 0 0 +0 1 0 0 1 0 0 1 0 0 0 1 1 +0 0 0 1 0 0 1 0 0 1 1 0 0 +0 0 0 0 1 0 0 0 0 1 1 0 0 +1 1 1 0 0 1 1 1 1 1 0 1 0 +0 1 0 0 1 1 1 0 0 1 1 0 1 +0 0 0 0 0 1 0 1 1 1 1 1 1 +1 0 1 1 0 0 0 0 1 0 1 0 0 +1 0 0 0 1 0 1 0 0 1 1 1 1 +1 1 1 1 0 1 1 0 1 0 0 0 1 +1 0 1 0 1 0 1 0 1 0 1 0 1 +0 0 0 0 1 0 0 1 1 1 0 0 0 +0 0 1 0 0 1 0 1 0 0 1 0 1 +0 0 0 1 0 1 1 0 1 0 0 1 0 +0 1 1 0 1 1 1 1 0 0 0 1 1 +0 1 1 0 1 0 1 1 1 1 0 1 1 +0 0 0 1 0 0 1 0 1 1 0 0 0 +1 0 1 1 0 0 1 0 1 0 0 1 1 +0 1 1 0 0 1 1 0 0 0 1 1 1 +0 0 0 1 1 0 0 0 0 1 1 1 0 +0 1 0 1 0 0 1 1 1 1 1 0 1 +0 1 0 0 1 1 0 0 0 1 0 0 0 +0 0 0 0 0 1 0 1 0 1 1 0 1 +1 1 0 0 0 1 0 0 1 1 0 1 1 +1 0 0 0 0 0 1 0 1 0 1 0 1 +0 0 1 1 1 1 1 0 0 1 1 0 0 +1 1 0 0 0 0 1 0 0 0 0 1 0 +0 1 1 1 1 1 1 1 1 0 1 0 0 +0 0 0 0 0 0 0 1 1 1 0 0 0 +1 0 0 0 0 0 1 0 1 0 1 1 1 +1 1 1 1 1 0 0 0 1 1 1 0 0 +1 0 1 0 0 0 0 1 1 0 0 0 0 +1 0 0 1 0 0 0 1 1 0 1 1 0 +1 1 0 1 1 0 0 0 1 0 1 1 1 +1 1 1 1 0 0 0 0 0 1 1 0 0 +1 1 1 1 0 0 1 1 0 1 1 1 0 +1 1 0 1 1 1 1 0 0 0 1 0 1 +1 1 1 1 0 0 1 0 0 1 0 0 1 +1 0 0 1 0 1 1 1 1 0 0 1 1 +0 0 1 0 1 1 0 0 1 1 1 1 1 +1 1 1 1 0 1 1 0 0 1 1 0 0 +0 1 1 0 1 1 0 1 0 0 0 0 1 +0 1 1 1 1 0 0 0 1 0 1 1 0 +0 0 0 1 0 1 1 1 1 0 1 0 1 +1 0 0 1 0 1 1 1 1 0 1 0 0 +0 0 1 1 1 1 1 1 1 0 1 1 0 +0 1 0 1 0 0 1 1 0 0 0 1 1 +1 1 0 0 1 0 0 1 1 1 0 1 0 +0 0 1 0 1 0 1 1 1 1 1 0 0 +0 1 1 0 1 1 0 1 0 0 0 1 1 +1 1 0 1 0 0 0 1 0 0 1 1 0 +1 0 1 0 1 0 1 1 0 0 1 1 1 +0 1 0 1 0 1 0 0 1 1 1 0 0 +0 1 0 1 0 0 0 0 0 0 0 0 1 +1 1 0 0 1 1 1 1 1 0 1 0 0 +0 0 1 1 0 1 0 1 1 1 1 0 0 +1 1 0 0 0 0 0 1 0 0 1 0 0 +1 1 1 0 0 1 0 1 0 1 1 0 1 +1 0 1 0 1 0 1 1 1 1 0 1 1 +1 0 1 1 1 1 0 1 0 1 1 1 1 +0 0 1 0 1 1 0 1 0 0 1 1 1 +0 0 1 1 1 0 1 1 1 1 1 0 1 +0 0 1 0 0 0 1 1 0 0 1 1 0 +0 0 1 1 0 0 0 0 1 1 1 0 0 +1 1 0 1 0 1 1 1 0 0 1 0 0 +0 0 0 1 1 1 0 0 0 1 1 0 0 +1 1 1 0 1 0 0 1 1 1 0 1 0 +0 0 1 1 0 1 0 0 1 1 0 1 0 +1 1 0 1 1 1 0 1 0 1 1 1 0 +0 0 0 1 0 1 1 0 0 0 0 1 1 +0 0 1 0 1 1 1 0 0 0 1 0 0 +1 1 0 0 0 1 1 0 0 1 1 1 0 +0 0 1 0 1 1 0 1 0 0 0 0 1 +1 1 1 0 0 0 0 1 0 0 0 1 0 +0 1 0 1 0 1 1 1 1 0 0 0 0 +0 0 0 1 0 1 1 0 0 1 1 1 1 +0 0 0 1 1 1 0 1 1 1 1 1 0 +1 0 0 1 1 1 0 0 1 0 1 1 0 +1 1 1 0 1 0 1 0 0 0 0 1 0 +0 0 1 0 1 1 0 1 0 1 0 0 0 +1 0 0 0 0 1 0 1 1 0 0 0 1 +1 1 1 0 1 0 1 1 0 1 1 1 1 +0 1 1 1 1 1 1 1 1 1 1 0 1 +1 0 1 0 1 0 1 1 1 0 1 1 1 +1 1 0 1 0 1 1 1 0 0 1 0 0 +1 1 1 0 0 0 1 0 0 0 0 1 0 +1 0 0 1 1 1 1 0 0 1 1 1 1 +0 0 1 1 1 1 1 1 0 1 0 1 1 +0 1 1 0 1 0 1 1 0 0 1 1 0 +1 0 0 1 1 1 0 1 0 1 0 1 1 +1 0 1 0 1 1 1 0 0 1 0 0 0 +1 0 1 1 0 1 1 1 1 1 1 1 1 +1 0 1 0 0 0 0 1 0 1 1 0 1 +1 1 0 0 1 0 1 1 1 0 1 0 0 +0 0 1 1 1 0 1 0 0 0 1 1 0 +0 1 1 0 0 0 0 0 0 0 1 0 1 +1 1 1 1 0 1 1 1 0 0 1 0 0 +0 1 0 1 0 0 0 0 0 0 0 0 1 +1 0 1 1 1 1 1 1 0 0 0 1 1 +1 0 1 1 0 1 0 0 1 0 0 1 1 +1 0 0 1 0 1 1 0 1 0 1 0 1 +1 1 1 0 0 1 0 0 0 1 0 0 1 +1 1 1 1 0 0 1 0 1 1 0 0 0 +0 1 0 1 0 0 0 1 0 1 1 0 1 +1 1 0 0 1 1 1 0 1 1 1 0 1 +0 0 1 0 0 0 0 1 1 1 1 0 0 +0 0 0 1 1 1 0 1 0 0 0 0 1 +0 1 1 1 1 0 1 0 1 0 1 0 1 +1 0 1 0 0 0 0 0 0 1 1 0 1 +1 0 0 1 1 1 1 0 1 1 0 1 1 +0 0 1 0 1 0 1 0 1 1 0 1 0 +1 0 1 0 0 1 0 1 0 1 0 1 1 +1 0 0 1 0 0 1 1 1 1 1 1 1 +1 1 1 1 1 1 0 0 1 0 1 0 0 +1 1 1 0 0 0 0 1 0 1 0 1 1 +1 0 0 1 0 1 1 0 1 1 0 1 1 +1 1 0 1 0 1 1 0 1 0 1 0 0 +0 0 1 0 1 1 1 0 1 1 0 1 0 +0 1 1 1 1 0 0 0 0 1 0 1 1 +0 1 0 1 1 1 0 1 0 0 1 0 0 +0 1 0 0 1 1 0 0 0 0 0 0 1 +1 1 1 1 0 1 0 0 1 1 1 0 1 +0 0 0 0 0 0 0 1 1 1 1 1 1 +0 1 0 0 0 1 1 1 0 0 0 1 0 +0 1 1 0 0 0 0 0 1 0 0 0 1 +1 0 1 1 1 1 1 1 0 0 1 0 1 +1 0 1 1 1 0 0 1 0 1 1 0 1 +1 0 1 1 1 0 1 0 1 1 0 1 1 +0 0 0 1 1 0 1 0 0 0 0 1 0 +1 1 1 0 0 0 0 0 1 0 1 1 1 +1 1 0 1 1 1 1 1 0 1 1 0 0 +0 0 1 1 1 1 1 0 0 1 0 0 1 +0 0 0 0 1 1 1 0 1 0 0 1 1 +1 0 1 0 0 0 1 1 1 0 1 1 1 +1 1 0 1 0 1 0 0 0 0 0 0 0 +0 0 0 1 1 1 1 1 1 0 1 1 1 +1 1 0 1 0 1 1 0 1 0 0 0 0 +1 1 1 0 0 1 0 1 1 1 1 0 0 +0 0 1 0 1 1 0 1 0 1 0 1 0 +1 1 1 1 0 0 1 1 1 0 1 0 0 +0 0 0 0 0 1 0 0 0 0 1 0 1 +1 0 1 0 1 0 1 1 0 0 0 1 0 +1 0 1 0 0 0 0 0 1 0 1 1 1 +0 0 1 1 1 0 1 0 0 1 1 1 1 +0 1 0 1 0 1 0 0 1 0 0 0 0 +1 0 0 1 0 1 1 1 0 0 1 0 0 +0 0 1 0 0 0 1 0 1 1 1 0 0 +0 0 0 1 0 1 1 1 0 0 1 0 1 +1 1 0 0 0 1 1 0 0 1 0 0 0 +1 0 0 1 1 0 0 1 0 0 0 1 1 +1 0 1 0 0 1 1 0 1 0 1 1 0 +1 0 0 1 1 0 1 1 0 0 0 1 1 +1 0 0 1 1 0 0 0 1 1 1 1 0 +0 0 1 1 0 1 0 0 0 0 0 0 0 +1 1 1 1 1 0 0 1 0 0 0 1 0 +1 1 1 1 1 0 1 1 0 1 1 0 1 +0 0 1 1 0 0 0 0 1 1 0 1 0 +0 1 1 1 0 0 0 0 0 0 1 1 1 +1 1 0 1 1 1 1 0 1 1 0 0 1 +0 0 0 1 1 0 0 0 0 0 1 0 1 +0 1 1 0 0 1 0 1 1 1 0 0 1 +1 1 0 0 1 1 1 0 0 1 1 1 0 +0 0 0 1 0 1 1 1 1 0 1 1 0 +1 1 0 1 0 1 0 0 1 1 0 1 0 +1 0 0 1 0 1 0 0 0 0 0 1 1 +0 1 0 0 1 0 0 0 1 0 1 1 1 +1 0 1 1 0 1 1 1 1 0 1 0 0 +0 1 0 1 1 0 1 0 1 1 0 0 1 +1 1 1 1 0 1 0 1 0 1 1 0 1 +0 1 0 1 0 0 0 1 1 0 0 0 0 +1 1 0 0 1 1 1 0 0 1 0 0 1 +1 1 0 1 1 1 1 0 1 1 1 0 0 +0 0 0 1 0 0 0 0 0 1 0 1 0 +1 0 1 0 1 0 1 0 0 1 1 0 0 +0 1 0 0 0 0 1 0 0 0 0 1 0 +1 0 1 0 0 0 1 0 0 1 0 0 1 +1 1 1 0 1 1 0 0 0 1 1 0 1 +0 0 1 1 1 1 1 0 0 1 0 1 0 +0 1 0 0 0 1 0 0 0 0 0 1 0 +1 1 1 0 1 1 1 0 1 1 1 0 0 +0 1 1 1 0 0 0 1 0 1 0 1 0 +0 0 0 1 0 0 1 1 1 1 0 0 1 +0 0 0 0 1 1 1 1 0 1 1 0 1 +0 0 1 0 1 1 1 1 0 1 1 1 1 +1 1 0 1 1 1 1 0 1 0 1 1 0 +1 0 0 1 0 0 1 1 1 0 1 0 0 +1 1 1 0 1 0 1 1 0 0 1 1 0 +1 0 0 1 0 1 0 1 1 1 1 0 0 +0 0 0 1 1 1 0 1 0 1 1 0 0 +0 1 0 0 0 1 0 0 0 0 1 1 0 +1 0 1 0 0 0 1 0 1 0 1 0 1 +0 1 1 1 0 0 0 0 1 0 1 0 1 +1 1 1 0 0 1 1 1 0 1 0 1 0 +1 0 0 0 1 1 1 1 1 1 0 0 1 +0 0 0 1 1 1 1 0 1 1 1 0 1 +0 0 0 0 0 0 1 0 0 0 0 1 0 +1 0 1 0 1 1 0 1 1 1 1 1 0 +0 1 1 0 0 1 0 1 0 0 1 1 1 +0 1 1 1 1 0 0 0 1 1 0 1 1 +0 1 0 1 1 0 0 1 1 1 1 0 1 +1 0 0 0 1 0 1 1 1 0 0 0 1 +0 0 0 1 1 0 1 0 0 0 1 1 0 +1 1 0 0 1 0 0 1 0 0 1 0 0 +0 1 1 0 1 0 0 0 0 0 1 0 1 +0 1 0 0 1 1 1 1 1 1 1 0 1 +0 1 0 0 0 0 1 1 0 1 1 0 1 +0 1 1 1 1 0 1 0 1 1 1 0 0 +0 0 1 1 0 1 0 0 1 0 0 1 1 +1 1 0 1 1 1 1 1 0 0 0 1 1 +1 1 1 0 0 1 1 1 0 1 1 0 0 +1 1 1 0 1 0 0 0 1 1 1 1 1 +0 0 1 0 1 1 1 0 1 0 1 0 0 +1 1 0 0 0 0 1 1 1 1 1 0 0 +0 0 1 0 1 1 0 1 0 0 0 0 1 +1 0 1 0 1 1 1 0 1 1 0 1 1 +0 1 1 1 0 0 0 1 0 0 1 0 1 +0 1 1 1 0 1 0 0 0 0 0 1 1 +0 1 0 0 1 1 0 1 1 0 0 0 1 +1 0 0 1 1 1 1 1 1 1 1 0 0 +1 0 0 0 0 0 0 1 1 1 0 1 1 +0 0 1 1 0 1 1 0 1 0 1 0 0 +1 0 0 0 1 0 1 0 0 1 1 1 1 +1 1 0 0 0 1 1 0 0 1 1 0 1 +0 0 0 1 1 0 0 0 0 1 1 1 0 +1 0 0 0 0 0 1 1 0 0 1 0 0 +0 0 1 0 0 0 1 1 1 0 0 0 0 +0 1 0 0 0 0 1 1 1 0 0 0 1 +0 0 0 0 0 0 0 1 1 1 0 1 1 +1 1 1 0 1 1 0 1 1 1 0 0 1 +0 0 0 0 1 1 1 0 1 1 0 1 0 +1 0 1 0 0 0 1 1 0 1 1 0 0 +0 0 1 1 1 0 0 0 0 0 0 1 1 +0 1 1 0 0 1 0 0 0 1 0 1 1 +0 1 0 1 0 0 0 1 1 0 0 1 1 +1 0 0 0 1 1 0 1 1 1 1 1 0 +0 0 1 0 0 1 0 1 1 0 1 1 1 +0 0 1 0 0 1 1 1 0 0 0 1 0 +1 0 1 0 1 0 0 1 1 1 0 0 0 +0 0 1 0 1 1 0 0 0 0 0 1 0 +0 0 1 1 1 1 1 1 0 0 1 0 0 +0 0 1 1 1 0 0 0 1 1 1 1 1 +1 1 1 0 0 1 1 1 0 1 1 1 0 +0 0 0 1 1 1 0 1 1 0 0 0 1 +0 0 0 1 0 1 1 1 0 1 1 0 1 +0 0 1 1 0 0 0 1 0 1 1 0 0 +1 1 1 1 0 0 1 0 1 1 1 0 0 +0 1 0 0 1 0 0 1 1 0 0 1 0 +0 0 0 0 1 1 0 1 1 0 0 0 0 +1 1 0 1 1 1 0 1 1 1 1 1 1 +0 0 1 1 1 0 1 1 0 0 0 1 0 +1 1 0 0 1 1 1 0 0 1 0 1 1 +0 1 1 0 0 1 0 1 1 0 0 1 1 +0 1 0 1 0 0 0 1 0 0 1 1 0 +1 0 1 1 0 1 0 0 0 0 1 0 0 +0 1 0 0 1 1 1 1 0 1 0 1 1 +0 1 0 1 0 1 1 0 0 1 1 1 1 +1 1 1 1 1 1 1 0 0 0 1 0 1 +1 1 0 1 0 0 0 0 0 0 0 1 0 +1 1 1 1 0 1 0 1 0 0 0 0 1 +0 1 0 1 1 1 1 1 1 0 1 1 1 +0 0 1 0 0 0 0 0 1 0 0 1 1 +0 1 0 0 0 0 1 0 1 1 0 0 0 +1 0 1 0 0 1 0 1 0 1 1 0 1 +0 1 0 1 1 1 0 1 1 1 0 1 1 +0 1 1 1 1 0 0 1 1 1 0 1 1 +1 1 1 0 1 0 0 1 0 1 1 1 1 +0 0 0 0 1 1 0 0 1 1 1 1 0 +1 1 0 0 1 0 1 1 0 0 0 1 0 +1 0 0 0 0 0 1 0 1 0 1 1 1 +0 0 1 0 0 0 1 1 1 1 1 1 1 +0 0 1 0 1 1 0 1 1 0 0 0 1 +1 1 1 1 0 1 1 0 0 1 0 1 1 +0 1 0 0 0 0 1 0 1 1 1 1 0 +1 0 0 0 1 0 0 1 0 0 1 0 1 +0 1 1 0 0 0 0 0 1 1 0 1 1 +0 1 1 0 0 0 0 0 1 0 1 1 0 +0 0 0 1 1 1 0 1 1 1 1 0 1 +1 1 0 0 1 1 1 1 0 0 0 1 0 +0 1 1 1 1 1 1 1 0 1 0 1 1 +1 1 0 1 1 0 0 0 0 1 1 1 0 +1 0 0 0 1 1 1 0 0 1 1 0 1 +0 0 0 1 1 0 0 0 1 1 0 0 1 +0 1 0 0 0 0 1 0 1 0 1 1 1 +0 0 0 1 0 0 0 1 1 1 0 1 1 +1 0 1 0 1 0 0 1 1 1 0 1 1 +0 1 1 1 1 0 1 0 1 0 1 1 1 +0 1 0 1 0 0 1 0 0 1 0 1 0 +0 1 0 0 0 0 1 0 0 1 1 1 1 +1 1 1 1 1 1 0 0 0 1 1 1 0 +0 1 0 0 0 1 1 1 1 1 0 0 1 +1 1 0 0 1 1 1 0 0 1 0 0 1 +1 1 0 1 0 1 1 1 0 0 1 0 0 +1 1 0 1 0 0 0 1 1 1 1 1 0 +1 0 1 1 1 1 0 1 0 1 0 0 1 +1 0 0 0 1 0 0 1 1 0 0 0 1 +1 0 1 1 0 1 1 0 1 0 0 1 1 +0 0 1 0 0 0 0 0 1 1 1 0 1 +0 1 0 0 0 1 0 1 1 0 0 1 1 +0 0 0 1 1 0 1 0 0 1 1 0 1 +1 0 1 0 1 1 0 1 1 1 1 1 0 +1 1 1 1 1 0 1 1 1 1 0 1 1 +1 0 1 1 0 0 1 1 1 1 1 0 0 +0 1 1 1 1 1 1 1 0 0 0 1 0 +0 1 0 0 0 1 0 0 1 1 1 0 0 +1 1 0 1 0 0 1 1 1 1 0 0 1 +0 1 0 0 1 0 0 0 0 0 1 0 0 +0 1 0 0 1 0 1 0 1 0 1 0 0 +1 1 0 0 0 0 0 1 0 0 0 0 0 +1 0 0 1 1 1 1 0 0 0 1 1 0 +1 1 1 0 1 1 1 1 0 1 0 1 0 +0 1 1 1 1 0 0 0 1 0 1 1 1 +1 1 1 1 0 0 1 1 0 0 0 0 1 +1 1 1 0 0 0 1 0 0 0 1 1 0 +0 0 1 1 0 1 1 1 0 0 1 1 1 +0 0 0 1 0 1 0 0 1 0 0 0 1 +0 1 1 1 0 0 1 0 1 1 0 1 1 +0 1 1 0 0 1 0 1 0 1 0 1 1 +0 0 0 0 0 0 0 0 0 0 0 0 1 +0 0 1 0 0 0 1 0 0 1 0 1 0 +1 0 1 1 1 0 0 1 0 0 1 0 1 +1 1 1 0 0 1 0 0 0 0 1 1 0 +1 1 0 1 1 0 0 0 1 0 1 0 1 +1 0 0 0 0 1 0 0 0 0 1 1 0 +0 1 0 0 1 1 0 0 0 1 0 1 1 +1 0 1 1 1 0 1 1 1 0 1 0 0 +0 0 1 1 0 1 0 0 1 1 0 1 0 +1 0 1 0 0 0 0 0 0 0 0 1 1 +0 0 1 1 0 0 0 0 0 0 1 0 0 +0 0 0 1 1 1 1 0 1 0 0 0 0 +1 0 1 1 1 0 0 1 1 0 0 0 0 +1 1 1 0 1 1 0 0 1 0 1 0 0 +0 1 0 1 0 1 1 1 1 1 1 1 1 +0 1 0 1 1 0 0 0 1 0 1 1 1 +1 0 1 1 1 1 1 1 0 0 1 1 0 +0 1 0 0 1 1 1 1 0 1 1 1 1 +1 1 1 1 1 0 1 1 0 1 0 0 0 +1 0 0 0 0 0 1 0 0 1 1 0 1 +0 0 0 1 0 1 0 1 1 1 1 1 0 +1 0 0 1 0 1 1 1 0 1 0 1 1 +0 0 1 1 1 1 0 0 0 1 1 1 0 +0 1 0 1 1 1 0 0 1 0 1 1 0 +1 1 0 0 0 1 1 0 1 1 0 0 0 +0 0 0 1 0 0 1 1 1 0 1 0 0 +1 1 1 0 0 0 0 0 0 0 1 1 0 +0 1 1 0 0 1 1 1 1 1 1 1 1 +1 0 1 1 1 0 1 0 0 0 0 0 0 +0 0 0 1 1 0 0 1 1 0 0 1 1 +0 0 0 1 1 1 0 1 1 0 0 0 1 +0 0 1 1 0 1 1 0 0 0 0 0 1 +0 1 1 0 0 1 0 0 1 1 0 0 1 +0 0 0 1 0 0 1 0 1 0 0 1 0 +1 0 1 1 0 1 1 1 1 1 1 0 1 +0 0 1 0 0 1 1 1 0 1 0 0 0 +1 0 1 1 0 0 1 0 0 0 0 0 1 +1 1 0 1 0 0 1 1 1 1 1 1 1 +0 1 1 1 1 0 0 1 1 0 1 0 1 +0 1 0 1 1 0 0 1 0 1 0 0 0 +0 0 0 1 0 1 0 1 0 0 0 1 0 +1 0 1 1 1 0 1 0 0 1 1 1 1 +0 1 0 1 1 0 0 1 1 1 0 0 0 +1 1 1 1 0 1 0 1 0 1 0 1 0 +0 0 1 0 1 1 1 1 0 1 0 1 1 +0 1 0 1 1 1 0 1 1 0 0 0 1 +1 0 1 1 1 0 1 1 1 0 1 1 0 +0 0 1 0 0 1 0 1 1 0 0 0 1 +0 0 1 1 0 0 1 1 0 1 1 1 0 +0 1 0 0 1 0 1 1 0 0 1 0 1 +0 0 1 0 1 0 1 1 1 1 1 1 1 +1 0 0 0 0 0 0 1 0 0 0 1 1 +0 1 1 1 0 0 0 0 1 0 0 0 0 +1 0 1 1 1 0 1 0 1 1 0 0 0 +1 0 0 1 1 0 0 0 0 0 1 0 1 +1 0 1 1 1 1 1 1 0 1 0 1 1 +0 1 0 1 1 1 1 1 1 0 0 0 0 +0 1 1 0 1 1 0 1 0 1 0 0 0 +1 1 1 1 0 0 0 0 1 1 0 1 1 +1 1 1 1 1 1 0 1 1 0 1 1 1 +0 1 0 1 1 1 0 0 1 0 1 0 1 +0 1 1 0 1 0 0 1 1 1 1 0 1 +0 1 1 1 0 0 1 1 0 0 1 1 0 +1 1 0 0 1 0 1 1 1 0 1 1 0 +0 1 1 0 1 1 1 0 1 1 1 0 1 +0 0 1 0 1 0 0 1 1 1 0 1 0 +1 0 1 1 1 1 0 1 0 0 1 0 1 +0 0 0 1 1 0 0 0 0 0 1 0 0 +0 1 1 0 0 1 1 1 0 1 0 0 1 +1 1 0 0 0 1 0 0 1 1 0 0 0 +1 1 0 1 0 1 0 0 0 0 1 1 1 +1 1 1 0 0 1 0 1 1 0 0 0 1 +1 0 0 1 0 1 0 1 1 0 1 1 1 +1 1 1 0 1 1 0 1 1 1 0 0 0 +0 1 0 0 1 1 0 1 0 1 1 0 1 +1 0 0 1 1 1 0 0 1 0 1 0 1 +0 1 0 1 0 1 1 0 0 0 0 1 1 +0 1 1 1 1 1 1 1 1 0 0 0 1 +0 1 0 0 0 0 1 0 0 0 1 1 1 +0 0 0 0 1 1 1 0 1 1 1 0 1 +0 0 1 0 1 0 0 0 1 1 1 0 0 +1 1 0 1 1 1 0 1 1 1 1 0 0 +0 0 1 1 0 1 1 0 0 1 0 1 0 +1 1 1 0 1 0 1 1 1 0 1 1 0 +0 0 1 0 0 0 1 0 1 1 1 1 0 +1 0 0 0 0 0 1 0 0 1 0 0 1 +1 0 1 0 0 1 0 1 0 0 1 1 1 +0 0 1 0 0 1 1 0 1 1 1 0 0 +0 1 1 0 1 1 1 0 1 1 0 1 1 +1 1 0 1 1 0 1 1 0 0 0 1 1 +0 0 0 1 1 0 1 1 0 1 1 1 1 +0 1 0 1 1 1 0 0 1 0 1 1 1 +0 0 0 0 1 1 1 0 1 0 0 0 1 +0 0 1 0 0 0 1 0 1 0 0 1 1 +1 1 0 0 0 1 1 1 1 0 1 1 1 +0 1 0 1 1 1 1 0 1 1 1 1 1 +1 0 0 1 1 0 1 1 1 1 1 0 0 +1 1 0 1 0 0 1 0 1 0 0 0 1 +0 1 1 0 0 1 0 0 1 0 0 1 1 +1 1 0 0 0 0 1 1 0 0 1 1 0 +1 0 1 1 1 1 1 0 0 1 1 0 1 +1 0 1 1 1 0 1 1 1 1 0 1 1 +1 0 1 1 1 1 1 1 1 1 1 0 1 +0 1 1 1 1 1 0 1 0 0 1 0 1 +1 1 1 1 0 0 1 1 1 1 1 1 1 +0 1 0 0 0 1 1 1 1 0 1 0 1 +1 1 1 1 0 1 0 1 1 1 1 1 1 +0 1 0 1 0 1 1 1 1 1 0 0 0 +1 0 0 1 1 1 1 1 0 0 1 0 1 +0 0 0 0 1 0 0 1 1 1 1 0 1 +0 1 0 0 1 1 0 0 0 0 0 1 0 +1 1 1 0 0 1 1 0 1 1 0 1 0 +1 0 1 0 1 0 0 0 1 0 1 0 1 +1 0 0 0 0 0 0 1 0 1 0 0 0 +1 0 1 0 0 0 1 0 0 0 0 1 0 +1 1 1 1 0 0 0 1 1 1 1 1 0 +1 0 0 0 0 0 0 1 1 0 1 0 0 +0 1 1 0 1 0 0 0 1 0 0 0 0 +1 1 1 1 0 0 1 0 0 1 0 1 0 +1 0 1 1 1 1 0 0 1 0 0 0 0 +0 1 0 1 1 1 1 1 1 1 1 1 1 +1 0 1 0 1 0 0 0 0 0 1 0 0 +1 1 1 0 1 1 1 1 0 1 1 1 0 +0 0 1 1 1 1 0 1 0 1 0 0 1 +1 1 1 1 0 0 0 0 0 1 0 1 0 +0 1 1 1 0 1 1 0 0 0 1 1 0 +0 1 1 0 1 1 0 1 0 0 1 1 1 +1 1 0 1 1 0 1 1 1 1 0 0 0 +0 1 0 1 0 1 0 1 0 0 1 0 1 +1 0 1 0 0 1 1 1 1 0 1 0 0 +0 1 1 0 0 0 1 0 1 1 1 0 0 +0 1 1 0 0 0 0 0 0 0 0 1 0 +1 0 1 1 0 1 0 1 1 1 1 0 1 +0 1 1 0 1 1 1 0 1 1 0 0 1 +0 1 1 0 1 1 0 1 0 0 1 1 0 +0 1 0 1 0 1 0 1 0 1 1 1 1 +1 1 0 1 0 1 0 1 1 0 1 0 0 +1 0 0 1 0 1 1 0 0 0 0 0 1 +1 0 1 1 1 1 1 1 0 1 0 0 0 +1 0 1 0 0 0 1 1 0 0 0 0 0 +1 0 1 1 0 0 1 1 1 0 0 0 0 +1 0 0 1 1 0 0 1 0 1 0 1 0 +1 0 0 1 0 0 0 0 0 1 1 1 1 +1 0 1 0 0 0 1 0 0 1 1 1 1 +0 1 0 0 0 0 1 0 1 1 0 0 0 +0 0 1 1 0 1 1 1 1 1 0 1 0 +1 1 0 1 0 0 0 0 1 1 0 1 0 +1 1 0 1 1 1 0 0 0 0 0 1 1 +0 0 1 0 1 1 1 0 0 0 1 1 0 +1 1 1 1 0 0 0 0 1 1 1 0 0 +1 0 0 1 1 0 0 1 0 1 0 1 0 +0 1 1 0 1 1 1 0 1 1 0 1 0 +0 1 0 0 0 0 0 0 1 1 1 0 1 +0 0 0 1 0 1 1 1 0 1 1 1 0 +0 0 1 1 0 0 1 0 1 0 0 0 0 +1 1 1 1 0 1 0 1 1 1 1 1 0 +1 0 1 1 0 0 0 0 0 0 0 0 0 +0 0 0 0 0 0 1 1 0 0 1 1 0 +1 0 1 0 0 1 0 1 0 1 0 0 1 +1 0 0 0 1 1 1 1 1 0 0 1 1 +1 0 1 0 1 1 0 0 1 0 0 1 1 +0 1 1 0 1 0 0 0 1 0 0 0 1 +0 1 1 1 0 1 0 1 1 0 0 0 0 +1 0 1 1 1 0 0 1 1 0 1 1 1 +1 1 1 0 1 0 1 0 0 0 1 0 0 +0 1 0 0 1 1 1 1 0 0 0 0 1 +0 1 0 0 0 1 0 1 0 1 0 1 1 +1 0 0 0 0 1 1 1 1 1 1 1 0 +1 0 0 1 1 0 0 1 1 1 0 1 1 +0 0 0 0 0 0 1 0 1 0 1 0 0 +0 1 1 1 0 1 0 0 0 0 0 0 0 +1 1 0 1 1 1 1 0 0 1 0 0 1 +0 1 0 0 0 1 0 1 0 0 1 1 1 +1 1 1 1 1 1 1 1 0 1 1 1 0 +0 1 0 1 1 1 1 1 0 0 1 0 0 +0 0 1 0 1 1 0 1 1 0 1 0 1 +1 1 1 0 1 1 1 0 1 0 0 1 0 +0 1 1 0 0 1 1 1 0 0 0 1 1 +1 1 1 0 1 1 0 0 0 0 1 1 0 +0 0 0 1 1 1 1 0 1 1 1 1 1 +1 1 1 0 1 0 0 1 1 1 1 1 1 +1 1 1 0 0 0 0 1 0 0 0 0 1 +0 1 1 0 0 1 0 1 0 1 0 0 0 +1 1 1 0 1 1 1 1 1 1 1 1 0 +1 1 0 1 1 1 0 1 0 1 1 0 1 +1 0 0 1 0 0 0 1 0 0 0 1 1 +0 1 0 1 1 0 1 1 1 0 0 1 1 +0 1 1 1 0 0 1 0 1 1 1 0 1 +1 1 1 1 0 0 1 1 0 1 0 0 0 +1 0 1 0 1 0 0 1 0 1 0 0 0 +0 0 1 1 0 0 0 1 0 1 1 0 0 +1 0 0 0 1 1 0 0 1 1 0 0 1 +0 1 1 0 1 1 0 1 1 0 0 1 1 +1 0 0 0 1 0 1 1 0 1 0 1 1 +0 0 1 1 0 1 0 1 0 1 1 0 1 +1 1 0 1 1 0 1 1 1 0 0 1 0 +0 0 0 1 0 1 1 1 1 0 1 1 1 +0 0 1 1 1 1 1 0 0 0 0 0 0 +0 0 1 0 0 0 0 1 1 0 1 0 1 +0 1 0 1 1 1 1 0 0 0 1 0 1 +0 1 0 1 1 0 1 1 1 0 1 0 0 +1 0 0 0 1 0 0 1 0 1 0 1 0 +1 0 1 1 0 1 1 0 1 0 0 1 1 +0 1 0 1 0 0 1 0 0 0 1 1 0 +1 0 1 1 0 1 1 1 0 0 0 1 1 +0 0 0 1 1 0 1 0 0 1 1 1 0 +0 0 1 1 1 0 0 0 0 1 1 0 0 +1 1 0 1 1 0 0 1 1 0 1 0 0 +1 1 0 1 0 1 1 1 1 1 0 1 0 +1 0 1 1 0 0 1 1 0 1 0 1 0 +1 1 0 1 0 0 0 0 0 1 1 1 0 +1 1 0 1 0 0 0 1 0 1 0 0 1 +1 0 0 0 1 0 1 1 0 0 1 1 0 +1 0 0 1 0 1 0 0 0 0 0 1 0 +1 0 0 0 0 0 0 1 0 1 1 1 1 +1 0 0 0 1 0 0 0 0 1 1 0 1 +0 1 0 1 0 0 1 1 1 0 1 0 1 +0 1 0 1 1 1 0 0 0 1 1 0 0 +1 1 1 1 0 0 0 1 0 1 1 0 0 +0 0 1 0 1 0 0 1 1 1 1 1 1 +1 0 0 0 0 1 1 1 0 1 1 1 1 +1 1 1 0 1 0 0 1 0 0 1 1 0 +1 1 1 1 1 0 1 1 0 1 0 1 1 +0 1 1 0 0 1 1 1 1 0 1 0 0 +0 1 0 0 1 0 1 1 1 0 0 1 0 +0 1 0 0 1 0 0 1 0 0 0 0 1 +0 0 0 1 0 0 1 1 0 0 1 0 0 +1 0 1 1 0 1 1 1 1 0 0 1 0 +0 0 1 1 0 0 1 0 1 0 1 0 1 +1 1 1 0 0 1 1 0 0 1 1 1 0 +0 0 0 1 0 1 0 0 1 0 0 0 0 +0 1 1 0 0 1 1 1 1 0 1 1 1 +0 0 1 0 1 1 0 1 0 0 1 0 0 +0 1 0 1 1 1 1 1 0 1 1 0 0 +1 1 1 1 0 0 0 1 0 1 1 1 0 +0 0 0 1 0 0 0 1 0 0 0 0 0 +0 1 0 1 0 1 0 1 0 0 1 1 0 +0 1 0 1 1 1 0 1 0 1 0 1 0 +0 0 0 1 0 1 0 0 0 0 0 1 0 +0 0 0 1 0 0 1 1 0 1 1 1 0 +1 1 0 1 0 0 0 0 0 1 0 0 1 +0 1 1 1 1 1 1 1 0 1 0 1 1 +0 1 0 0 0 0 1 1 1 0 0 1 0 +0 1 0 0 1 1 1 1 1 0 0 1 0 +1 0 1 1 1 0 1 1 0 0 1 0 0 +1 1 0 1 1 1 0 0 1 1 0 1 0 +1 1 0 1 1 1 1 0 1 1 0 1 0 +1 0 1 0 1 0 1 0 0 0 0 1 1 +1 0 0 0 0 0 1 1 0 1 1 0 0 +0 0 0 1 1 0 0 0 1 0 1 0 1 +0 1 1 0 0 0 1 1 1 0 0 1 1 +1 1 1 0 1 1 1 0 1 1 1 0 1 +0 1 1 1 1 1 0 0 1 1 0 0 1 +1 0 1 1 1 0 0 1 0 0 0 1 1 +0 0 1 1 0 1 1 1 0 1 1 0 0 +1 1 0 1 1 0 1 1 1 1 1 0 1 +1 0 0 1 1 0 0 1 0 0 0 1 0 +1 0 0 0 1 1 1 0 1 1 1 0 1 +1 0 1 0 1 0 0 0 1 1 1 0 1 +0 0 0 1 0 0 1 0 1 1 1 0 1 +1 0 0 0 0 1 1 1 1 1 0 1 0 +0 1 0 0 1 1 0 1 1 0 1 0 0 +1 1 1 0 1 0 0 1 1 1 0 1 0 +0 0 1 1 1 0 1 1 1 1 0 0 0 +0 0 1 1 0 1 0 0 1 0 1 1 1 +1 0 0 0 1 1 1 1 1 1 0 0 1 +1 1 1 0 0 1 1 0 0 0 0 1 1 +0 0 1 1 0 0 0 0 0 0 1 0 1 +0 0 0 0 1 1 0 1 0 1 1 1 1 +1 0 0 1 0 0 1 0 1 0 1 0 1 +1 1 0 0 0 1 1 0 1 0 0 1 1 +0 1 0 1 1 0 1 0 1 0 0 1 1 +1 1 1 1 1 0 0 0 0 1 1 1 0 +0 1 0 0 1 1 0 0 0 0 1 0 1 +0 1 1 1 1 1 0 1 0 1 0 0 1 +0 1 1 1 0 0 0 0 1 1 0 0 0 +0 0 0 0 0 1 0 0 1 1 0 0 0 +1 0 1 1 1 0 0 0 1 1 1 1 1 +1 0 1 1 1 1 1 1 0 1 0 0 1 +1 0 0 1 1 0 0 0 0 1 0 1 1 +1 0 0 0 0 0 1 1 0 1 1 1 1 +1 1 0 1 0 0 0 1 0 1 0 1 1 +1 1 0 0 1 0 0 0 0 1 0 1 1 +0 0 1 1 0 1 0 1 0 0 0 1 1 +1 1 1 1 1 1 0 1 0 0 1 0 0 +1 0 0 1 1 0 0 0 1 0 1 1 0 +0 1 0 1 1 1 0 0 1 0 0 0 1 +1 1 0 1 1 1 1 1 0 0 1 1 1 +1 1 1 1 0 1 1 1 1 1 1 1 0 +0 0 1 1 1 0 1 0 1 0 0 0 0 +1 1 1 0 0 0 1 0 0 1 1 0 0 +0 1 0 1 0 0 0 1 1 1 1 0 1 +1 0 1 0 0 0 1 0 1 0 0 0 1 +1 1 1 1 0 1 1 1 0 1 0 1 0 +1 0 0 1 1 1 0 0 0 1 1 0 1 +0 0 0 1 0 0 1 0 1 1 0 0 0 +0 0 0 1 1 0 0 1 1 0 0 0 0 +0 1 0 0 0 0 1 1 1 1 0 0 1 +1 0 0 0 0 1 0 0 1 1 0 0 1 +0 1 1 1 0 0 0 0 0 1 1 1 1 +0 1 0 0 0 0 1 1 0 0 0 1 0 +1 0 0 0 1 1 0 0 1 0 0 0 1 +0 0 1 1 0 0 1 0 1 1 1 1 0 +1 1 0 1 0 1 0 0 1 1 1 0 1 +0 0 0 0 0 1 0 0 0 0 1 0 1 +0 1 0 0 0 0 0 1 1 1 0 1 0 +0 1 0 0 1 1 0 1 0 1 1 1 1 +0 1 1 0 0 1 1 1 1 1 1 0 1 +1 0 1 0 1 1 1 0 0 1 1 1 0 +0 0 1 1 1 1 1 1 0 0 0 1 0 +1 0 1 1 0 0 0 0 0 0 0 0 1 +1 0 1 0 0 1 1 1 0 1 0 1 0 +1 0 0 1 0 0 0 0 0 0 1 0 1 +1 0 1 0 1 0 0 1 0 0 1 1 1 +0 1 0 0 0 0 0 1 0 1 1 0 0 +1 1 1 0 1 0 1 0 0 0 1 0 1 +0 1 0 1 1 1 1 0 0 0 0 1 0 +1 0 0 1 0 0 1 1 1 1 1 1 1 +0 1 0 1 1 0 0 1 0 0 0 1 1 +0 1 1 1 0 1 0 0 0 0 0 0 0 +1 0 0 0 0 1 1 0 1 1 0 0 0 +0 1 0 0 1 1 1 0 0 1 1 0 1 +0 0 0 0 0 0 0 0 0 0 0 0 0 +1 1 1 1 1 1 0 1 1 1 0 0 0 +1 0 1 0 1 1 1 0 1 0 0 1 0 +1 0 0 1 1 0 1 1 0 1 0 0 0 +0 1 0 0 1 1 1 0 1 0 1 1 0 +1 1 0 0 1 0 0 1 0 0 0 0 0 +0 0 0 1 0 1 0 0 0 1 0 0 1 +1 1 0 1 0 0 1 0 0 0 1 1 0 +0 0 1 0 1 0 0 0 1 0 1 1 0 +1 1 0 0 1 0 0 0 1 1 0 1 0 +1 0 1 1 1 1 0 0 0 1 0 0 1 +1 1 1 1 1 1 1 0 0 1 0 0 0 +0 1 0 0 0 0 0 0 0 0 0 0 0 +1 0 0 0 0 0 1 1 1 1 0 0 1 +1 1 0 0 1 0 1 0 0 0 1 0 0 +1 1 0 0 0 1 0 0 0 0 0 1 0 +1 1 1 0 1 1 0 1 0 0 0 1 0 +1 0 0 0 1 0 1 0 1 0 0 1 1 +1 1 1 0 1 0 0 1 1 1 1 1 0 +0 0 1 0 0 1 1 1 0 1 1 1 0 +1 0 1 0 0 0 0 1 0 0 0 0 0 +0 1 0 1 0 1 1 0 1 1 0 1 0 +1 0 1 1 0 0 1 1 1 0 0 1 0 +0 1 1 0 1 0 0 1 1 0 0 0 0 +1 1 1 0 1 1 0 1 1 0 0 1 0 +0 1 0 0 0 0 0 1 0 1 0 1 0 +1 0 0 0 1 1 0 0 1 1 1 0 0 +1 0 1 0 1 1 0 0 1 1 1 0 0 +1 1 1 0 1 1 0 0 1 0 1 0 0 +1 0 1 0 1 1 0 0 0 1 1 1 1 +0 1 0 0 1 1 1 1 0 1 0 0 1 +1 0 1 1 1 0 1 0 0 0 1 1 1 +1 0 1 0 0 0 0 0 0 0 1 0 1 +0 0 1 0 1 0 1 1 0 1 0 1 1 +0 1 0 1 0 0 1 0 0 1 1 0 1 +1 1 0 0 0 0 1 1 0 1 1 1 0 +1 0 0 0 1 0 0 1 0 0 0 1 1 +0 0 1 1 0 0 1 1 1 0 1 0 1 +1 0 1 0 0 1 1 0 1 1 1 0 0 +0 0 1 1 1 0 0 0 0 0 1 0 0 +0 1 0 0 1 0 1 1 1 0 0 0 0 +1 1 0 0 1 0 0 0 1 1 0 0 0 +1 0 1 1 1 1 0 1 1 0 0 0 1 +0 1 0 1 0 1 0 1 1 1 0 0 0 +1 0 1 1 1 1 1 0 1 0 1 1 0 +1 0 0 0 0 0 0 0 1 1 1 1 0 +0 1 1 1 0 1 0 1 1 0 0 0 1 +0 1 1 1 1 1 0 0 1 1 1 0 0 +1 1 1 0 0 1 1 1 1 1 0 1 0 +0 0 0 1 1 0 1 0 1 0 0 1 0 +0 1 0 1 0 0 1 0 0 0 0 1 1 +1 1 1 1 1 1 0 1 0 0 0 0 0 +1 0 0 1 1 0 1 0 1 1 0 1 1 +1 0 0 1 1 0 1 0 1 1 0 1 1 +1 1 0 1 1 0 0 1 0 0 1 0 1 +1 0 0 0 1 0 1 0 1 1 1 0 0 +0 0 0 1 0 1 0 1 0 0 0 1 0 +0 1 1 0 1 1 1 1 1 1 0 0 0 +0 0 1 1 1 1 0 1 0 0 0 1 0 +0 1 1 1 1 0 0 0 1 1 1 1 0 +0 1 0 0 0 0 0 0 1 0 1 0 0 +1 1 1 1 0 0 0 1 0 0 0 0 1 +0 0 1 0 0 0 0 1 1 1 0 1 0 +0 0 1 0 0 0 1 0 1 0 0 0 0 +1 1 0 0 1 0 1 1 0 1 1 1 0 +1 1 1 0 1 0 1 1 1 1 1 1 1 +0 1 1 0 1 1 1 0 0 1 1 0 1 +0 0 1 0 1 1 0 0 1 0 0 0 0 +0 1 0 1 0 1 1 0 0 1 1 0 1 +0 0 0 0 1 0 1 0 1 1 1 0 0 +0 1 1 0 0 1 1 1 1 1 1 1 1 +0 1 0 1 1 1 1 0 0 1 1 1 1 +0 0 0 1 0 1 1 1 0 1 1 0 0 +1 0 0 1 0 0 0 0 1 1 1 1 1 +0 1 0 0 0 1 1 0 1 0 1 1 0 +0 1 1 1 0 0 0 0 0 1 0 1 1 +1 1 0 0 0 0 0 0 1 1 1 1 0 +1 1 1 1 1 1 0 1 0 1 1 1 0 +1 1 1 0 1 1 0 1 0 0 0 0 0 +0 1 1 0 1 0 0 1 1 1 0 1 1 +1 0 1 0 1 0 1 1 0 1 1 1 0 +0 0 1 1 0 0 1 0 0 0 0 1 1 +0 0 0 0 1 1 1 0 1 1 0 0 0 +0 1 1 0 1 0 1 1 0 0 1 0 1 +0 1 1 0 0 0 1 0 0 0 0 0 1 +1 1 1 1 1 0 0 1 1 0 1 1 0 +1 1 0 0 0 1 0 0 0 0 0 0 0 +1 0 1 0 1 1 0 0 0 1 1 1 1 +0 1 1 0 0 1 0 1 1 1 1 0 0 +0 1 0 0 0 1 1 0 1 1 1 1 0 +0 1 1 0 1 1 1 0 0 1 0 0 1 +0 1 0 0 0 1 0 1 0 1 0 0 1 +0 1 1 1 1 1 1 1 1 1 0 1 1 +1 1 1 1 1 0 1 0 0 0 0 1 1 +0 0 1 1 0 0 1 0 1 1 1 1 0 +1 1 0 1 1 1 1 1 1 0 1 1 1 +0 1 1 0 1 0 1 0 0 1 1 1 1 +0 1 1 1 1 1 0 1 1 1 0 1 0 +1 1 1 1 1 0 1 1 0 0 0 0 0 +0 1 1 1 0 0 0 1 1 0 0 0 1 +1 1 0 1 0 0 1 1 1 1 1 0 1 +1 1 0 1 0 1 1 1 0 0 1 0 1 +0 1 0 0 0 0 0 1 1 1 1 1 1 +0 0 1 0 1 1 0 0 0 1 1 0 1 +0 0 0 1 1 1 1 0 1 1 0 0 0 +1 0 0 1 1 0 0 1 0 1 1 0 0 +1 0 0 1 1 0 1 0 1 1 0 0 0 +0 1 1 0 1 1 0 1 1 0 0 0 1 +0 0 1 1 1 1 0 1 0 1 0 0 0 +1 0 1 1 1 1 1 1 0 0 0 1 1 +0 0 1 1 0 1 0 1 1 1 1 1 1 +0 1 0 0 1 0 0 1 1 1 0 1 1 +0 0 1 0 1 1 1 1 1 0 0 0 0 +0 0 1 1 1 1 0 0 0 0 1 0 1 +0 1 0 0 1 0 1 1 0 1 1 1 1 +0 0 1 1 1 0 1 0 0 0 1 0 1 +1 1 1 1 1 1 1 1 0 0 0 1 0 +0 0 1 1 1 0 1 0 1 0 1 0 0 +0 1 1 1 1 1 1 0 0 0 1 0 1 +1 0 0 0 1 1 0 1 1 0 0 0 0 +0 1 1 1 0 0 1 1 0 0 0 0 1 +0 1 1 0 1 1 0 1 1 1 1 0 0 +1 1 0 0 0 0 0 0 1 0 0 1 0 +1 0 0 0 0 1 0 0 0 1 1 1 0 +0 1 0 0 0 0 0 0 1 1 0 1 0 +1 1 1 1 1 0 1 1 1 0 0 1 0 +0 1 0 0 0 1 0 0 0 0 0 1 0 +0 0 0 0 0 0 0 1 1 1 0 1 0 +0 0 0 0 0 0 1 0 1 1 1 1 0 +1 1 1 0 1 0 1 0 0 0 1 0 1 +0 0 1 1 0 0 1 1 1 0 1 1 1 +1 1 1 1 1 1 1 1 0 0 1 0 0 +1 1 0 1 1 1 0 0 0 1 1 1 0 +1 0 0 0 1 0 1 0 1 0 0 1 1 +0 1 0 1 0 0 0 0 0 0 1 1 0 +1 0 1 0 0 0 1 1 1 0 1 1 0 +1 1 1 1 1 1 1 0 1 0 1 1 0 +0 0 1 0 1 1 1 1 0 1 0 1 0 +1 0 0 1 0 0 0 0 0 0 1 1 1 +0 0 0 0 1 1 1 0 0 1 1 0 0 +1 0 1 1 1 1 1 1 1 1 1 1 1 +0 0 0 0 0 1 0 1 1 0 1 1 0 +1 1 1 0 1 0 1 0 0 0 1 0 0 +0 0 1 1 1 1 0 0 0 1 0 0 0 +0 0 1 1 0 0 0 1 1 1 1 0 1 +1 0 0 0 1 0 1 0 1 1 1 0 0 +0 1 1 1 0 1 1 0 1 0 1 1 1 +0 0 1 0 1 0 0 1 0 1 0 1 0 +0 1 1 0 1 1 1 1 0 1 0 0 1 +1 1 0 1 0 0 0 1 0 0 1 0 0 +1 0 0 1 0 0 1 0 1 0 1 0 1 +1 0 1 0 1 1 1 1 0 0 0 0 1 +0 1 1 1 1 1 1 0 0 0 1 1 0 +0 1 0 0 1 1 1 0 1 1 0 1 0 +0 1 0 1 0 1 0 1 0 1 0 1 0 +0 1 0 0 1 0 1 1 0 0 1 1 1 +1 0 1 1 0 0 1 0 1 0 1 0 1 +1 1 0 1 1 0 1 0 1 0 1 1 0 +1 0 0 0 0 1 0 0 0 0 0 0 0 +0 0 1 1 1 1 0 1 1 0 0 1 0 +1 0 1 0 1 0 0 1 0 0 1 0 0 +0 0 1 0 1 1 1 1 1 1 1 0 0 +0 1 0 1 0 1 0 0 1 1 1 0 0 +0 0 1 1 1 0 0 0 1 0 0 0 0 +0 0 1 0 0 0 1 0 0 0 0 0 0 +1 0 0 0 1 1 0 1 1 1 0 0 0 +0 0 0 1 1 1 1 1 1 0 1 0 0 +0 0 1 0 0 1 1 0 0 0 1 1 1 +0 1 0 0 0 0 0 0 1 1 1 0 1 +1 1 0 1 1 0 0 0 0 0 0 0 0 +0 0 0 0 0 1 0 1 0 1 1 0 0 +0 1 0 1 1 0 0 0 0 0 1 0 1 +0 0 0 0 0 0 1 0 0 0 1 0 1 +1 1 1 1 0 0 0 1 1 0 1 1 1 +0 0 1 1 1 0 0 1 1 0 1 1 0 +1 0 1 1 0 0 0 1 0 1 0 0 1 +0 0 0 1 0 0 0 0 1 1 1 1 0 +1 0 1 0 0 0 0 0 1 0 1 1 0 +0 1 1 1 0 0 0 1 1 0 1 0 1 +0 1 0 1 0 1 0 1 0 1 1 0 1 +1 0 1 1 1 1 0 0 0 0 0 1 0 +1 1 0 0 1 1 0 1 1 0 1 0 1 +0 1 0 0 1 1 1 0 1 1 1 0 1 +1 0 1 1 1 1 1 0 0 0 1 0 1 +0 0 1 1 0 0 0 1 0 1 1 1 0 +1 1 0 0 1 1 1 0 1 0 1 1 0 +1 1 1 1 1 1 1 0 0 1 1 1 0 +0 1 1 1 0 0 1 0 0 1 1 0 0 +1 0 0 1 1 1 1 0 0 0 0 1 1 +0 0 0 0 0 1 0 1 1 0 1 0 0 +1 1 0 1 1 0 1 1 1 1 1 1 0 +0 1 0 0 1 0 0 1 0 0 0 1 1 +0 1 1 1 0 0 1 0 0 1 1 0 1 +0 1 0 0 1 1 0 0 0 0 0 1 1 +1 0 1 1 0 0 0 1 1 1 1 0 0 +1 1 1 0 1 1 1 1 1 0 0 1 1 +0 1 0 0 0 1 1 0 0 1 1 0 0 +1 1 1 0 1 0 1 0 0 1 0 1 1 +0 1 0 0 1 0 1 0 0 0 1 1 1 +1 1 1 1 0 0 0 0 1 0 1 1 0 +0 0 1 1 1 1 0 1 1 1 0 1 0 +1 1 0 1 1 0 0 1 0 1 0 0 0 +0 0 0 1 1 1 0 0 0 0 1 1 0 +0 1 0 0 0 1 0 0 1 0 0 0 0 +0 0 0 1 0 1 1 1 0 0 1 1 1 +0 1 1 1 1 1 0 0 1 0 0 0 1 +1 0 1 0 1 0 0 1 1 1 1 1 0 +1 0 0 1 1 0 0 1 1 0 1 0 1 +1 1 0 1 1 1 1 0 0 1 1 0 0 +0 0 0 0 1 0 0 1 1 0 0 1 0 +0 1 1 1 1 0 1 1 0 1 0 1 0 +0 1 1 0 1 1 0 1 1 1 0 1 1 +1 1 0 1 0 1 1 0 0 0 0 0 1 +0 0 0 1 1 1 1 1 0 1 0 0 1 +0 0 0 0 0 0 0 1 1 0 1 0 0 +1 0 0 1 1 1 1 0 0 0 1 0 1 +1 1 0 1 1 1 1 0 0 0 0 1 0 +0 1 1 1 0 0 0 0 0 1 0 0 1 +1 0 1 0 0 1 1 0 1 1 0 0 1 +1 0 0 0 1 0 1 0 1 1 0 1 1 +1 1 0 0 0 0 1 0 0 0 0 0 0 +0 1 1 0 0 0 1 1 0 0 1 1 1 +1 0 1 1 1 1 1 0 1 1 1 1 0 +0 0 1 1 0 0 1 1 0 0 1 1 0 +0 0 1 1 1 1 1 1 0 0 0 0 1 +1 1 1 1 0 1 0 1 1 1 1 0 0 +0 1 1 1 1 0 1 0 0 0 0 1 1 +1 0 0 1 1 1 1 0 0 1 0 1 1 +1 1 0 0 1 1 1 0 0 1 0 0 1 +0 1 1 0 0 1 0 1 0 0 1 1 0 +0 0 0 0 1 0 0 1 0 0 1 0 0 +0 0 1 1 0 0 1 0 0 1 0 0 0 +0 0 0 0 1 0 0 1 1 1 0 1 1 +0 0 1 1 0 0 1 1 1 1 0 0 1 +1 1 1 0 1 0 1 0 1 1 0 1 0 +1 1 1 1 0 1 1 1 1 1 1 0 0 +0 0 0 0 1 1 1 0 1 0 0 0 0 +0 1 0 0 0 0 1 1 1 0 0 1 1 +0 1 0 0 0 1 1 1 0 1 0 0 1 +0 0 0 1 0 1 0 1 0 1 0 1 0 +0 0 0 0 1 1 0 0 0 1 1 0 1 +0 1 1 0 1 0 1 1 1 1 0 1 1 +0 0 1 1 0 0 0 1 0 1 1 1 0 +0 1 1 0 1 1 1 0 0 1 1 0 1 +1 1 0 0 0 1 0 0 0 0 0 1 0 +1 1 0 1 0 0 0 0 0 0 0 1 0 +1 0 1 0 0 1 0 1 1 1 0 0 0 +0 0 1 0 0 0 0 0 0 0 1 1 1 +0 1 0 1 0 1 0 1 0 1 1 0 0 +0 1 0 1 1 0 0 0 1 1 0 1 1 +0 1 0 1 0 0 0 1 1 1 0 0 0 +0 1 0 0 0 1 0 0 1 0 0 1 1 +0 0 0 1 0 0 1 1 0 0 1 1 0 +1 1 0 1 0 0 0 1 0 0 1 1 0 +1 0 0 0 0 0 1 0 1 1 1 1 1 +0 1 0 0 1 0 0 1 1 1 0 1 0 +1 1 0 0 0 1 0 0 0 1 1 0 0 +1 0 1 1 0 0 0 1 0 0 1 0 0 +0 0 1 1 1 1 1 1 1 0 0 0 1 +0 1 0 1 1 0 0 1 1 1 0 1 0 +0 0 1 0 1 0 1 0 1 0 1 0 1 +0 1 0 0 1 1 1 1 0 1 0 1 1 +1 1 1 1 0 1 1 0 0 1 0 1 0 +1 1 0 0 1 1 0 0 0 0 0 1 1 +0 0 1 1 1 1 1 1 1 1 1 0 1 +1 0 1 0 1 1 0 1 1 0 1 0 1 +1 1 1 0 0 0 0 0 1 1 0 1 1 +0 0 0 1 0 1 1 1 0 0 0 1 0 +1 0 0 0 1 1 1 1 1 1 0 1 0 +1 1 0 0 1 0 1 0 0 1 1 1 1 +0 0 0 1 1 1 1 1 1 0 1 1 0 +1 0 1 0 0 1 1 1 0 0 0 1 1 +0 0 0 1 1 0 0 1 1 1 1 1 0 +0 0 1 0 0 1 1 1 0 1 1 1 0 +0 1 0 0 0 1 1 0 0 0 1 1 1 +0 1 0 0 1 1 1 1 0 0 1 0 1 +0 1 1 1 0 0 1 1 1 0 0 1 1 +0 1 0 1 0 1 0 0 1 1 0 0 1 +0 0 0 0 1 0 1 0 0 1 0 0 1 +0 0 1 0 0 1 1 0 1 1 1 0 1 +1 1 1 1 0 1 0 1 1 1 0 0 0 +0 0 0 1 0 1 0 0 0 0 0 1 1 +0 1 0 1 1 1 1 0 1 0 0 0 1 +0 0 0 0 0 1 1 1 0 0 0 1 0 +1 1 0 0 1 1 1 1 1 0 0 1 0 +0 1 0 1 0 0 0 1 0 1 0 0 1 +0 1 0 0 0 0 1 0 1 1 1 1 0 +0 0 0 1 0 0 0 0 1 1 1 1 1 +0 0 0 1 0 0 0 1 0 1 1 0 0 +0 1 0 0 1 1 1 0 1 0 0 0 1 +0 1 0 1 0 1 1 0 1 1 1 1 1 +0 0 0 0 1 1 0 1 1 1 0 0 0 +1 0 1 0 1 1 1 0 1 0 1 0 1 +1 1 0 0 1 0 0 1 0 1 1 0 0 +0 1 0 1 0 1 0 0 0 0 1 1 0 +0 0 0 0 0 0 1 1 0 0 1 0 0 +1 1 1 0 1 0 1 0 1 0 0 1 1 +1 0 0 1 1 1 0 0 1 1 0 1 1 +1 1 0 0 1 1 0 0 0 0 1 0 0 +1 1 0 0 1 0 1 1 0 1 1 0 0 +1 1 1 1 1 0 0 0 0 0 0 0 0 +0 0 1 1 0 0 1 0 1 0 1 0 0 +0 1 0 0 0 0 0 1 1 1 0 0 0 +0 0 1 1 0 1 1 0 0 0 1 1 0 +1 0 1 0 0 0 0 0 0 0 0 1 0 +1 0 1 0 1 0 0 1 0 0 1 1 1 +1 0 0 1 1 1 1 0 1 0 0 0 1 +0 0 0 0 0 0 1 0 0 1 1 1 1 +0 1 0 0 1 0 1 0 0 0 1 1 1 +1 0 1 0 1 1 0 1 0 0 0 1 1 +1 1 1 1 1 1 0 1 1 0 1 0 0 +1 0 1 0 0 1 0 1 0 1 1 0 1 +0 0 1 0 0 1 1 1 0 1 0 0 0 +0 1 1 0 0 1 0 1 0 0 0 0 0 +0 0 0 1 1 0 1 1 0 0 1 1 0 +0 0 0 1 0 1 0 1 0 1 0 1 1 +1 0 0 1 0 1 1 1 0 1 1 1 1 +1 1 1 1 0 1 1 0 0 0 1 1 1 +0 1 1 0 1 0 1 1 0 1 0 1 1 +1 1 0 1 0 1 0 0 0 0 1 1 1 +0 0 1 1 1 0 0 1 1 0 0 0 1 +1 1 1 0 0 1 0 1 0 0 0 0 1 +0 1 1 0 1 0 1 1 0 1 0 0 0 +0 1 0 1 1 0 0 1 0 0 0 1 1 +1 0 1 1 1 0 1 1 0 1 0 0 1 +0 0 0 1 1 1 0 0 1 0 0 1 0 +0 0 0 0 0 0 0 0 1 1 1 1 1 +1 0 0 0 1 1 1 0 0 0 1 0 0 +1 1 0 1 0 0 0 1 0 1 1 1 0 +1 0 0 1 1 1 1 0 0 0 1 0 1 +1 1 0 0 1 1 0 0 0 1 0 1 1 +0 0 0 1 0 1 1 0 0 1 0 0 0 +0 0 1 0 1 0 1 1 1 0 0 1 0 +1 1 0 0 1 0 0 0 1 1 1 1 0 +0 0 1 1 0 1 1 0 0 0 0 1 0 +1 1 0 0 0 0 0 0 1 0 1 1 1 +1 0 1 1 0 1 1 0 1 1 1 0 0 +0 0 0 0 1 0 1 0 1 1 0 1 0 +0 1 0 1 1 0 0 1 0 1 0 1 1 +1 0 1 1 0 0 0 0 1 1 1 1 1 +0 0 1 0 1 1 0 1 1 0 1 0 1 +0 0 0 0 0 0 0 0 1 0 1 0 0 +0 0 0 0 0 1 1 0 1 0 0 1 0 +1 0 0 1 0 1 0 0 1 1 1 0 0 +0 1 1 1 1 0 0 0 0 1 0 0 1 +0 0 0 0 0 0 1 0 0 1 1 0 0 +0 1 1 1 1 0 1 1 0 1 1 1 1 +1 1 1 1 0 0 1 1 1 1 1 0 0 +0 1 0 1 1 1 1 1 1 0 0 0 1 +1 1 0 0 1 1 1 0 1 1 1 1 1 +1 0 0 1 1 0 0 1 0 1 1 1 0 +0 1 0 0 0 1 1 0 1 0 1 1 1 +0 1 0 1 1 1 0 1 0 0 0 0 0 +0 1 0 0 1 0 1 0 0 1 0 1 1 +1 1 1 1 1 0 0 1 0 0 1 0 0 +0 0 1 1 1 0 0 0 0 0 1 1 0 +1 0 0 0 1 0 1 0 1 0 0 0 1 +1 1 1 1 1 1 1 1 1 1 1 0 0 +1 1 1 0 1 0 0 0 1 0 1 1 1 +0 0 0 1 0 1 0 1 1 1 1 1 0 +0 0 1 1 0 0 1 1 0 0 1 0 0 +0 1 1 0 1 0 0 0 1 1 1 0 0 +0 1 0 1 1 1 1 1 1 1 0 0 1 +0 0 1 0 0 0 0 0 0 1 0 1 0 +0 0 1 1 0 0 0 1 0 0 1 1 0 +0 1 1 1 1 1 0 0 1 0 1 1 0 +0 0 0 0 1 1 1 0 1 1 1 1 0 +0 1 1 1 0 1 0 1 0 1 0 0 1 +0 0 0 1 0 0 1 0 1 0 0 0 0 +0 0 0 1 0 1 0 1 1 0 0 1 1 +1 1 1 1 1 1 0 1 1 0 0 1 1 +0 0 0 1 0 0 0 0 1 1 1 1 1 +0 1 1 0 1 0 0 1 0 1 1 1 1 +1 0 1 1 0 1 1 1 1 1 0 0 1 +0 0 1 1 1 0 0 1 0 1 1 0 0 +1 0 0 0 1 0 0 1 1 0 1 1 1 +0 0 1 0 1 0 1 1 1 0 0 0 1 +1 0 0 1 0 0 1 1 0 1 0 0 0 +0 1 1 1 1 1 1 1 1 0 1 0 1 +1 0 0 1 1 0 1 0 1 0 1 0 1 +0 0 1 0 1 0 1 1 0 0 0 0 0 +0 1 0 1 0 1 0 0 1 0 1 0 0 +1 0 0 0 1 0 0 1 0 1 1 0 1 +0 0 1 1 0 0 1 0 1 0 1 0 1 +1 0 1 0 0 1 1 0 1 1 0 1 1 +0 0 0 0 0 0 1 1 0 0 1 1 0 +1 0 0 0 1 1 0 0 1 1 0 1 0 +1 0 0 1 1 1 1 0 1 0 1 0 1 +0 0 1 0 0 0 0 0 0 0 1 0 0 +1 0 0 1 0 0 1 0 0 0 1 1 1 +1 1 0 1 0 0 0 0 1 0 0 1 0 +0 1 1 1 1 0 1 1 0 0 1 1 0 +0 1 0 0 1 0 0 0 0 0 1 0 1 +0 1 0 0 1 1 1 1 1 1 0 0 0 +1 1 1 0 1 1 1 0 0 1 1 1 1 +1 1 0 0 1 1 1 1 1 0 0 0 0 +1 1 1 0 1 1 1 0 1 1 1 0 1 +0 1 1 1 0 1 1 0 1 1 1 1 1 +0 1 1 0 0 0 0 0 1 1 1 0 0 +1 0 0 1 1 1 0 1 1 1 1 0 1 +1 0 1 0 1 1 1 0 1 0 0 1 0 +1 1 0 1 0 1 1 1 0 0 0 0 1 +1 0 1 1 0 1 0 0 0 0 1 1 0 +0 0 1 1 1 0 1 0 1 1 0 1 0 +0 1 0 0 1 1 1 1 1 0 0 1 0 +0 1 1 1 0 1 1 1 0 0 0 1 0 +0 0 1 1 1 0 1 1 1 0 0 0 1 +0 1 1 1 0 1 0 1 0 0 0 0 1 +0 0 0 0 0 0 1 1 0 1 0 0 1 +1 1 0 0 0 0 1 0 1 1 1 0 1 +1 0 1 1 0 1 0 1 1 0 1 0 1 +0 0 1 0 0 0 1 0 0 0 1 0 1 +0 0 1 1 1 1 1 0 1 1 1 1 0 +1 1 1 1 1 0 1 1 1 1 0 0 0 +1 0 0 0 0 0 1 1 0 0 1 0 0 +0 1 1 1 1 0 0 0 0 0 0 1 1 +0 0 1 0 1 0 0 0 0 1 0 1 0 +0 1 1 0 1 0 0 1 0 1 1 0 1 +0 0 0 0 0 1 0 1 1 0 0 0 0 +0 0 0 1 0 1 1 0 1 0 0 1 0 +1 1 1 1 1 1 1 1 0 0 1 0 0 +0 0 0 0 0 0 1 1 1 1 1 0 0 +1 1 0 1 0 0 1 0 1 0 1 0 1 +1 0 1 1 0 1 0 1 1 1 1 1 0 +0 0 0 0 0 1 1 0 1 1 1 0 1 +0 1 1 0 1 1 0 0 0 1 0 1 1 +1 0 0 0 1 1 1 0 1 1 0 0 0 +0 1 1 0 0 0 0 0 0 1 0 1 0 +0 0 1 1 1 0 1 1 1 1 1 1 1 +1 1 1 1 1 0 1 0 0 1 1 0 1 +1 0 0 0 0 0 0 1 0 1 0 0 1 +0 1 1 1 0 1 0 0 0 0 1 1 1 +1 1 0 1 0 0 1 1 0 1 1 0 0 +0 1 0 0 1 0 1 1 0 0 0 0 0 +1 0 1 0 0 0 0 1 1 1 1 1 1 +1 1 1 0 1 0 0 0 0 0 1 1 0 +0 0 1 1 0 1 1 1 0 1 1 0 0 +1 1 0 1 1 0 1 0 0 1 1 0 0 +1 1 1 1 1 0 1 1 1 1 1 0 1 +0 0 0 0 0 1 1 1 1 1 1 1 0 +1 1 1 0 1 1 1 1 0 0 1 0 0 +1 1 1 1 1 1 1 0 0 1 0 0 0 +0 0 0 1 0 1 0 0 0 1 1 0 1 +1 1 1 0 0 1 0 0 0 0 0 1 0 +0 0 0 0 1 0 1 0 1 0 1 0 1 +1 0 0 0 0 1 1 0 0 0 0 1 1 +1 0 1 0 1 0 0 0 1 0 0 0 0 +0 1 0 0 1 0 1 0 0 1 0 1 1 +0 1 0 1 0 0 1 0 0 0 0 1 1 +0 0 0 1 1 0 1 0 1 1 1 1 0 +1 1 1 0 0 1 1 0 1 1 1 1 0 +1 1 1 0 0 0 1 1 0 1 0 1 0 +1 1 0 1 1 1 0 1 0 1 0 0 0 +0 0 1 1 0 1 1 1 1 1 1 0 0 +1 1 0 0 0 1 0 0 1 0 0 0 1 +0 1 1 0 1 0 0 1 0 1 0 1 0 +1 0 1 0 0 1 1 1 1 0 1 0 1 +1 0 0 1 0 1 0 1 0 0 0 0 1 +1 1 0 0 0 0 0 1 1 0 0 1 0 +0 0 0 0 1 0 1 1 0 1 0 1 0 +1 0 0 1 0 0 0 0 0 0 1 0 1 +1 0 1 0 0 1 0 0 1 0 1 0 1 +0 1 0 1 0 0 0 1 0 0 0 1 1 +0 0 0 1 0 1 1 1 0 0 1 1 1 +0 1 1 1 0 0 1 0 1 0 1 0 0 +1 0 0 1 0 1 1 0 0 1 0 1 0 +0 1 1 1 0 0 0 1 1 0 0 0 1 +1 1 1 0 0 1 0 1 1 1 0 1 0 +0 0 1 1 0 1 1 0 0 0 1 1 0 +0 1 0 0 0 0 0 1 0 0 1 1 0 +0 1 0 1 0 1 0 1 1 0 1 1 1 +1 1 1 1 1 1 1 0 1 0 1 0 0 +0 0 0 0 0 0 0 0 1 1 0 1 0 +0 1 0 0 1 0 1 1 0 1 0 0 1 +1 1 0 1 1 0 0 1 0 1 0 0 0 +1 0 0 1 1 1 1 1 1 0 0 1 0 +0 0 0 0 1 1 1 1 0 0 0 1 1 +1 0 1 1 0 0 1 1 0 0 0 0 1 +0 1 1 1 0 0 1 1 1 1 1 1 1 +1 0 0 1 0 0 1 0 1 1 1 1 0 +1 1 0 0 1 0 0 1 0 0 0 1 1 +1 1 1 1 1 0 1 1 0 0 1 0 1 +0 1 1 1 0 0 1 0 1 1 0 1 0 +0 0 0 1 1 0 1 0 1 1 0 0 1 +0 0 0 0 0 0 1 1 0 1 0 0 1 +1 1 0 1 1 0 1 0 0 0 0 1 1 +0 0 1 0 0 1 0 0 1 0 0 1 0 +1 1 1 1 0 0 0 0 1 0 1 1 0 +1 0 1 0 0 1 1 1 1 1 1 0 1 +0 1 0 1 1 0 1 1 1 0 1 0 1 +0 0 0 1 0 1 1 0 0 1 0 1 0 +0 1 0 0 0 1 0 0 0 1 0 1 0 +1 0 1 1 1 1 0 0 0 1 0 0 1 +0 1 1 1 0 0 0 1 1 0 0 1 0 +0 1 0 0 0 1 0 1 1 1 1 0 1 +0 0 0 1 1 0 0 1 0 1 0 1 0 +0 0 1 1 0 0 0 1 1 1 0 0 0 +1 1 1 0 1 1 1 1 1 0 1 0 1 +1 0 0 0 0 1 0 0 0 1 0 1 0 +0 1 0 1 0 0 0 1 1 0 0 1 0 +0 1 1 0 1 0 1 0 0 0 1 1 1 +0 0 0 0 0 0 1 1 0 1 1 1 1 +0 1 0 0 0 0 0 0 1 0 1 0 0 +0 1 0 1 1 1 0 0 1 0 0 1 1 +1 0 1 1 0 0 1 1 0 0 0 1 1 +1 1 0 1 1 0 1 1 1 1 1 1 0 +1 0 0 1 0 1 0 0 1 1 0 0 0 +0 0 0 0 1 1 1 0 0 0 1 1 1 +1 1 0 1 0 0 1 0 1 1 1 1 1 +0 0 1 0 0 1 0 1 0 1 1 1 0 +1 0 1 1 1 0 0 1 1 1 0 0 0 +1 1 0 1 0 0 1 0 0 0 1 1 0 +0 0 0 0 0 0 1 1 0 1 0 1 0 +0 0 1 1 1 1 0 0 1 1 0 1 0 +1 0 0 0 0 0 1 0 1 0 0 1 1 +1 1 1 1 0 0 0 1 1 0 1 1 1 +1 1 0 0 0 0 1 0 0 1 1 1 0 +0 1 0 1 1 0 0 1 0 0 0 0 1 +1 1 0 1 1 0 0 1 0 1 1 1 0 +0 1 1 0 1 0 1 0 1 0 0 0 0 +0 0 1 0 0 0 1 1 0 0 1 0 0 +1 0 1 1 1 1 0 1 1 0 1 0 0 +1 1 0 0 0 1 0 0 1 0 0 0 0 +0 1 0 0 0 1 0 0 0 1 0 1 1 +0 0 0 0 0 1 0 0 1 1 0 0 1 +0 0 1 0 0 0 1 0 1 1 0 0 1 +1 0 0 1 0 0 0 0 0 0 1 0 1 +0 1 0 1 0 1 0 0 0 0 1 0 0 +0 0 0 0 1 1 0 1 0 0 0 0 0 +0 1 1 0 1 1 0 1 1 0 1 1 1 +0 0 0 1 0 0 1 0 1 0 0 1 1 +0 1 1 1 1 0 1 0 1 1 1 0 0 +1 1 1 1 0 0 0 1 0 1 1 1 0 +0 1 0 1 1 0 0 1 0 0 1 1 0 +1 1 0 0 0 1 0 0 0 1 1 1 0 +0 1 0 1 1 0 0 1 1 1 0 1 1 +1 1 0 1 0 1 1 0 1 0 0 1 0 +0 0 1 0 1 1 1 0 1 0 1 0 0 +1 1 1 0 1 1 0 0 1 1 0 1 1 +0 0 1 1 1 1 0 0 0 0 1 0 0 +1 0 0 1 1 1 0 0 0 1 1 1 1 +0 0 1 1 1 0 1 0 0 0 1 0 1 +0 0 0 1 0 0 1 0 1 0 0 1 1 +0 1 0 0 1 1 1 1 1 1 1 1 0 +0 1 0 1 1 1 0 1 0 0 0 1 0 +1 0 0 0 0 0 1 0 0 0 0 0 1 +0 1 1 0 1 0 0 0 0 0 1 1 1 +1 1 1 1 1 0 0 1 0 0 0 0 0 +0 0 0 0 1 1 1 0 0 1 0 1 0 +1 0 1 1 1 0 0 0 1 1 1 1 1 +0 1 1 0 0 1 1 1 1 0 1 0 1 +1 0 1 1 1 1 0 1 1 0 0 1 1 +0 0 0 0 1 0 0 1 1 0 1 1 1 +1 1 1 1 0 1 0 1 0 0 1 0 0 +1 1 0 1 0 0 1 0 1 1 1 1 1 +0 0 0 1 0 0 1 1 1 0 0 0 1 +0 1 1 1 0 0 0 0 1 1 0 1 1 +1 1 1 1 0 0 0 1 0 1 0 1 0 +0 1 0 1 0 0 0 0 0 1 1 1 1 +0 1 0 0 0 1 0 1 0 0 1 0 0 +0 1 0 1 1 0 0 0 0 0 1 1 0 +0 0 1 1 1 0 1 1 0 1 0 0 0 +0 1 1 0 1 1 1 0 0 1 1 1 1 +1 1 1 1 1 1 0 0 0 1 0 1 0 +0 0 1 1 0 1 1 0 0 1 0 1 0 +0 0 1 1 0 1 0 0 0 0 1 1 0 +1 1 0 0 1 0 1 0 1 1 1 1 0 +1 1 0 0 1 0 1 1 1 0 1 1 0 +1 1 1 1 1 0 0 1 0 1 1 0 0 +0 0 1 1 0 0 1 0 1 1 0 0 0 +1 1 0 0 0 1 0 1 0 0 1 0 1 +0 1 0 0 0 0 0 1 1 0 0 1 1 +0 0 0 1 1 0 0 0 0 0 0 0 0 +0 1 1 1 1 0 1 0 0 0 0 1 0 +0 1 0 0 0 0 0 0 0 0 0 1 1 +1 1 0 0 0 1 0 1 0 0 0 0 1 +0 0 0 1 0 1 1 1 1 0 0 0 0 +1 1 0 0 1 1 1 1 1 0 0 1 1 +1 1 0 1 0 0 0 1 1 0 1 1 1 +0 1 0 1 0 1 1 0 0 1 1 0 1 +1 0 1 0 1 0 0 1 1 0 1 1 1 +1 0 0 1 0 0 1 0 0 0 1 1 0 +0 0 0 1 1 1 1 0 0 0 1 0 0 +0 1 1 1 1 1 0 1 1 1 0 0 0 +1 0 0 0 0 1 0 1 1 1 0 0 0 +1 1 0 1 1 1 0 1 0 1 1 1 0 +0 0 1 0 0 1 0 0 1 0 1 1 1 +0 0 0 1 0 1 1 0 0 1 1 0 0 +1 0 1 0 1 0 0 1 0 1 0 0 0 +1 0 1 0 1 1 0 0 0 0 1 0 1 +0 1 0 0 0 1 0 1 1 1 0 0 1 +1 0 1 0 0 0 1 1 0 0 1 1 1 +1 1 1 0 1 1 0 1 1 0 0 0 0 +1 0 1 0 1 1 0 1 0 0 0 1 0 +0 1 0 1 0 0 1 0 0 1 1 1 1 +0 1 1 1 1 0 0 1 1 1 0 0 1 +1 0 0 1 0 0 0 0 0 0 0 0 1 +1 1 1 1 0 1 0 1 0 1 1 1 0 +1 1 1 1 0 1 1 0 0 0 0 0 0 +0 1 1 1 0 1 0 0 0 1 0 1 1 +1 0 0 1 1 0 1 0 0 0 1 0 0 +1 0 1 0 0 1 1 0 0 1 0 0 1 +1 1 1 0 0 0 1 0 0 0 0 0 0 +1 1 0 0 1 1 1 1 1 0 1 1 1 +0 0 1 0 0 1 1 0 0 1 1 0 0 +0 0 1 0 0 1 1 0 0 1 0 1 0 +1 1 0 0 1 0 0 1 1 1 0 0 1 +1 1 1 1 1 0 0 1 1 0 1 1 1 +1 1 1 0 0 0 0 1 1 1 0 0 1 +1 1 0 1 0 1 0 1 1 1 1 1 1 +0 1 0 0 1 1 0 0 1 1 0 0 1 +0 0 1 1 0 0 0 1 1 1 0 0 1 +0 1 1 0 0 0 0 0 1 1 1 1 1 +1 1 0 1 1 1 1 1 0 1 0 0 1 +1 0 1 0 0 0 1 1 1 1 0 1 1 +1 1 0 1 1 0 0 1 1 0 0 1 0 +1 1 1 1 1 0 0 1 1 1 1 1 1 +1 1 0 0 1 0 1 1 1 0 1 0 1 +0 1 0 1 0 1 1 1 0 1 1 1 1 +0 0 0 1 0 1 0 0 0 1 0 1 1 +1 1 0 0 0 1 0 1 1 0 1 1 0 +0 1 0 0 0 1 0 0 0 1 1 0 1 +0 1 1 0 1 1 1 1 1 1 0 0 0 +1 1 1 1 0 1 0 1 0 0 0 1 0 +1 0 0 1 1 0 0 0 0 0 0 1 0 +0 0 1 0 1 1 0 0 0 1 1 1 0 +0 1 1 1 0 1 1 1 1 0 1 1 0 +1 0 0 0 1 1 1 1 0 1 1 1 0 +1 1 0 1 1 1 1 1 1 1 1 0 0 +0 0 0 0 1 0 1 0 0 0 0 0 1 +0 0 0 0 1 1 1 1 1 1 1 0 1 +1 1 0 0 0 1 0 1 1 0 0 0 0 +0 1 1 1 1 1 0 0 1 1 0 1 0 +1 0 0 1 0 0 1 1 0 0 1 0 1 +1 0 1 1 0 0 1 1 1 1 1 0 1 +1 1 1 1 0 0 0 0 1 1 1 1 1 +0 0 0 1 0 0 1 1 0 0 1 1 1 +1 0 0 1 1 1 0 0 1 0 1 1 0 +0 1 0 0 1 0 0 0 1 1 1 0 1 +1 1 1 1 0 1 1 1 0 1 0 0 1 +1 0 1 1 0 1 0 0 1 1 1 0 1 +0 1 1 1 1 0 1 0 1 1 0 1 1 +1 0 0 0 1 1 0 0 1 0 1 1 1 +1 1 1 1 1 1 1 1 0 0 0 0 0 +0 1 1 1 1 0 0 0 1 1 1 0 1 +1 0 0 0 0 1 1 0 1 0 1 0 0 +1 0 1 1 1 1 1 1 0 1 1 0 1 +1 1 0 1 1 1 0 0 0 1 1 1 1 +0 1 1 1 1 1 0 1 1 1 1 1 1 +0 1 0 1 1 0 1 0 0 1 0 1 1 +1 1 1 0 0 1 1 1 1 1 0 0 1 +1 1 0 1 1 1 0 1 0 0 0 0 0 +0 1 0 1 1 1 0 0 1 1 1 0 1 +1 0 0 0 0 0 1 1 1 0 1 0 0 +1 1 1 0 0 1 1 0 1 1 0 1 1 +1 1 1 1 1 1 0 0 1 1 1 1 0 +1 0 1 1 0 1 1 1 1 0 1 1 0 +1 1 1 1 0 0 1 0 0 0 0 0 0 +1 0 0 0 0 0 0 1 1 1 1 0 1 +0 1 1 0 1 0 1 1 0 1 1 1 0 +1 0 0 0 1 1 1 1 0 0 0 0 1 +1 1 1 1 0 0 1 0 0 1 0 1 0 +0 0 1 0 0 0 1 1 0 1 0 0 0 +0 1 1 1 0 1 1 0 0 1 0 1 1 +0 0 1 1 0 1 1 1 1 1 1 0 0 +1 0 1 0 0 0 1 0 1 0 0 1 1 +1 0 0 1 0 0 0 1 1 0 0 1 0 +1 0 0 1 0 0 0 1 1 0 0 0 1 +1 1 1 0 0 0 0 1 1 1 1 0 0 +0 0 1 1 0 0 1 0 0 1 0 0 1 +1 1 0 0 1 1 0 1 0 0 0 0 1 +1 0 1 0 0 0 1 1 0 1 0 1 0 +1 1 0 1 0 1 0 0 0 0 0 1 0 +0 1 0 0 0 1 1 1 0 0 1 0 1 +1 0 1 1 1 0 0 0 0 1 0 0 1 +1 1 0 0 1 0 1 1 0 0 1 1 1 +1 1 0 1 1 0 0 0 1 0 1 0 1 +1 1 1 1 0 0 1 1 0 0 1 1 1 +1 0 0 0 1 1 0 1 1 1 1 1 1 +1 0 1 1 1 1 0 0 1 1 1 1 1 +0 1 0 0 1 1 1 1 1 1 0 1 0 +1 1 0 0 1 0 1 1 1 1 1 0 0 +1 1 0 0 1 1 0 0 1 0 1 1 1 +0 1 0 1 0 1 0 1 1 0 0 1 1 +1 1 1 1 0 0 0 1 0 0 1 1 0 +0 1 1 0 1 1 0 1 1 1 1 0 1 +0 1 0 1 0 1 1 1 1 1 1 0 1 +0 0 1 0 1 1 1 1 0 0 1 1 0 +0 0 0 0 1 1 0 1 1 0 1 1 1 +0 1 1 0 1 1 1 0 0 1 1 1 0 +1 0 1 0 1 0 0 0 0 1 1 0 1 +1 0 0 0 1 0 0 0 1 0 1 1 1 +1 1 1 0 1 1 1 0 1 0 1 1 1 +1 1 0 0 0 0 1 0 0 1 0 0 0 +0 0 0 1 1 1 0 1 0 1 0 0 1 +1 1 1 0 1 1 1 0 1 0 1 0 0 +1 0 1 0 0 1 0 0 0 1 1 1 0 +0 0 1 1 0 0 1 1 0 0 0 1 1 +0 1 1 0 1 1 1 1 0 0 1 1 1 +1 0 0 0 1 0 1 0 0 0 0 1 0 +1 0 0 0 0 1 0 1 0 1 0 1 0 +0 1 1 1 1 0 0 1 0 0 0 0 1 +1 1 1 1 1 1 1 0 0 1 0 1 1 +0 0 0 1 1 1 0 1 1 1 0 1 1 +0 1 1 1 1 0 1 1 0 1 0 1 0 +1 0 1 0 1 0 0 0 0 0 1 0 0 +0 1 0 1 0 1 0 0 0 1 1 1 0 +0 1 0 1 0 0 1 1 0 1 0 1 1 +0 1 0 1 0 0 0 1 1 1 0 1 1 +1 0 0 1 1 1 0 1 0 0 1 0 1 +1 1 0 1 1 1 0 0 0 1 0 1 0 +0 1 1 1 1 1 0 0 1 1 0 1 1 +0 0 0 1 1 0 0 1 1 1 0 0 1 +0 0 1 1 0 0 0 0 0 0 0 0 0 +1 0 0 1 0 0 1 1 0 1 0 0 0 +0 1 0 1 0 1 0 0 0 1 0 0 1 +1 1 0 0 1 1 0 0 0 1 0 1 1 +1 1 1 0 1 1 0 0 0 0 1 1 0 +1 1 1 0 0 0 0 1 1 1 1 0 0 +1 0 1 0 1 1 0 0 0 1 1 0 0 +0 0 0 0 1 0 1 1 0 1 0 1 1 +1 1 0 0 1 1 0 0 1 1 1 1 1 +1 1 0 0 0 1 1 1 0 1 1 1 0 +0 0 1 1 0 1 0 0 0 1 1 1 1 +1 1 0 0 1 0 0 1 1 1 1 0 0 +1 0 1 1 1 1 0 1 0 1 0 0 0 +1 0 0 1 0 0 1 0 1 0 0 0 1 +1 1 1 0 1 0 0 0 0 0 1 0 0 +0 1 0 0 0 1 1 0 0 0 0 1 1 +1 0 0 0 1 0 1 1 0 0 1 0 1 +0 1 0 0 1 0 0 1 1 1 1 0 1 +1 0 1 1 1 1 1 0 1 0 0 0 1 +0 1 0 0 0 1 0 0 1 1 1 0 1 +1 1 1 1 0 0 0 1 0 1 1 0 1 +0 0 0 1 1 0 0 0 0 0 1 1 0 +1 0 0 0 0 0 0 0 1 0 0 0 1 +1 0 1 0 0 0 0 0 0 1 0 0 0 +0 1 0 0 1 1 0 1 0 1 1 0 0 +0 1 1 1 1 1 1 0 0 0 0 0 1 +0 1 0 0 1 0 0 1 1 1 1 0 1 +1 0 0 1 0 0 1 0 1 0 1 1 1 +0 0 1 0 1 0 0 0 1 0 0 0 0 +0 0 0 0 0 1 1 1 1 0 1 0 0 +1 1 1 1 1 0 0 1 1 0 1 0 0 +0 0 0 0 1 0 0 1 0 1 0 1 0 +0 1 0 1 0 0 1 0 0 1 0 0 1 +1 1 0 0 1 1 0 1 1 0 1 0 1 +0 1 1 1 1 0 0 0 0 1 1 1 0 +1 0 1 0 0 1 1 0 0 0 1 0 1 +0 1 0 1 0 1 1 0 0 1 0 0 1 +1 1 1 1 1 1 1 0 0 1 0 0 1 +0 0 0 0 1 1 1 1 1 0 0 0 1 +1 0 1 1 1 0 0 0 1 0 0 0 1 +0 0 0 1 0 1 0 1 0 1 0 0 1 +0 0 0 1 0 1 0 1 0 1 0 1 0 +0 0 0 1 1 1 0 1 0 0 1 1 1 +1 1 0 0 0 0 0 0 0 0 1 0 0 +0 1 0 1 1 0 0 0 1 0 0 1 0 +0 1 1 1 0 0 1 1 0 0 0 1 1 +1 0 1 1 1 1 1 1 1 0 0 1 1 +1 1 0 0 1 0 1 0 1 1 0 0 0 +0 1 0 1 1 0 1 1 0 0 0 0 1 +0 1 0 1 0 1 1 0 0 1 1 0 1 +0 1 0 0 1 1 0 1 1 0 0 1 0 +1 1 1 1 1 0 0 1 0 1 0 1 0 +0 1 0 1 1 1 0 0 1 1 1 1 0 +1 0 1 0 1 0 0 0 0 0 0 1 1 +0 0 0 1 1 0 1 1 1 1 1 0 0 +1 0 1 1 1 1 1 0 1 1 0 0 1 +1 0 0 1 1 0 1 0 0 0 0 1 1 +0 1 1 1 1 0 1 0 1 0 0 1 0 +0 0 0 0 1 0 0 0 1 1 1 0 0 +1 1 1 1 0 0 0 1 1 1 1 0 1 +1 1 1 0 0 0 1 0 1 1 0 0 1 +1 1 1 1 0 0 1 1 0 1 0 1 0 +0 0 0 1 1 0 0 0 1 0 1 1 0 +1 0 0 1 1 0 0 0 0 1 0 0 0 +0 0 1 1 0 0 0 0 1 0 0 0 1 +0 1 0 1 1 0 1 0 0 0 0 0 0 +1 0 1 1 1 0 0 1 0 0 0 0 1 +0 0 1 1 0 1 0 0 0 0 1 1 1 +0 0 1 0 0 0 1 1 1 1 1 1 0 +1 0 1 0 1 1 1 1 1 1 1 1 1 +1 1 0 1 0 1 1 1 1 1 1 1 0 +1 0 0 0 0 1 0 1 0 0 0 0 1 +1 0 1 0 1 0 1 0 1 0 0 1 1 +0 0 0 1 0 0 1 1 1 1 0 0 0 +1 0 0 1 0 1 1 1 0 0 1 1 1 +0 0 0 0 1 0 1 0 0 1 0 1 1 +1 1 0 1 1 0 0 0 1 0 0 1 0 +0 0 0 1 0 1 1 1 0 1 1 0 0 +0 1 0 1 1 0 0 0 1 0 0 0 1 +0 1 1 0 0 0 0 1 0 1 0 1 1 +1 1 0 1 1 0 0 0 1 1 1 0 0 +1 0 1 0 1 1 1 1 1 0 1 0 1 +0 1 0 1 0 0 1 1 0 0 0 0 1 +0 0 1 1 1 1 0 1 1 0 0 0 0 +1 1 0 0 1 1 1 0 0 0 1 0 0 +0 1 0 1 1 0 1 0 0 1 1 1 0 +0 1 0 1 1 1 0 1 0 0 1 0 0 +0 0 0 0 0 1 0 1 1 0 1 1 1 +0 1 1 0 1 1 1 0 0 1 1 0 0 +0 0 1 0 1 0 1 0 1 0 1 0 1 +1 1 1 0 0 0 1 1 0 0 0 0 1 +1 1 1 0 0 0 0 1 0 0 0 1 0 +1 1 1 0 1 0 0 1 1 0 1 0 0 +0 1 0 1 0 1 1 1 1 0 0 1 1 +0 0 0 1 0 0 1 1 1 0 1 1 0 +1 1 1 1 1 0 0 1 1 1 0 1 0 +1 1 1 1 1 0 0 0 0 0 1 1 0 +1 1 1 1 0 0 0 1 0 0 0 1 0 +1 0 0 1 1 0 1 1 0 0 1 0 0 +1 0 1 0 1 1 0 0 1 1 1 1 0 +1 0 0 1 1 0 1 1 1 0 1 1 0 +1 1 0 1 0 0 1 0 1 0 0 0 0 +1 0 1 1 1 1 1 0 0 1 1 1 0 +1 0 1 1 0 1 1 1 1 1 0 1 0 +1 1 1 0 0 0 0 0 1 0 1 0 0 +0 1 0 1 1 0 0 0 1 1 1 0 0 +0 1 0 0 0 0 0 0 0 0 0 0 0 +1 1 1 1 1 0 1 0 0 0 0 1 1 +1 0 1 0 0 1 1 0 1 0 0 1 1 +1 0 0 1 0 0 0 0 1 0 0 0 1 +0 1 1 0 0 0 0 0 0 1 0 1 0 +1 0 0 0 0 0 0 1 0 1 1 0 1 +0 0 0 0 0 0 1 0 1 1 0 0 0 +0 1 1 1 0 1 1 0 1 0 1 0 1 +1 1 0 1 1 1 1 1 1 0 1 1 0 +0 1 1 0 1 1 1 1 1 1 1 1 1 +1 0 1 1 1 1 0 0 0 1 1 0 0 +0 1 1 0 1 1 0 0 1 1 0 0 0 +0 1 1 0 0 1 0 1 0 1 1 0 1 +0 0 1 0 1 1 0 0 0 0 1 0 0 +1 1 1 1 0 1 0 1 0 0 1 1 1 +0 1 0 1 1 0 1 1 0 1 1 0 1 +0 1 0 0 1 1 0 1 1 0 1 0 1 +1 1 1 0 1 0 0 0 1 0 0 1 1 +1 0 1 0 0 0 1 1 1 0 0 0 0 +0 0 1 0 1 1 0 0 0 0 0 1 1 +0 1 0 0 1 0 1 0 0 1 1 0 1 +0 0 1 1 1 0 0 0 1 1 0 0 0 +0 0 1 1 0 0 0 1 1 1 1 0 0 +0 0 1 1 1 1 1 0 0 1 0 1 0 +0 0 1 1 0 0 1 1 0 0 0 1 0 +1 1 1 1 1 0 0 1 0 0 1 0 1 +0 1 1 0 1 0 1 1 0 1 0 0 0 +0 1 0 0 0 0 0 0 0 0 1 0 0 +0 1 1 1 0 0 1 0 0 1 1 0 1 +0 0 1 1 1 0 0 0 0 1 1 0 0 +1 1 0 0 0 0 0 0 0 0 1 0 0 +1 0 1 0 0 0 0 0 1 1 0 1 1 +1 0 0 0 1 1 1 0 1 1 1 0 0 +1 0 1 0 0 1 0 0 1 1 0 0 1 +0 1 0 1 0 1 1 0 0 0 0 1 1 +1 1 0 1 1 1 0 1 0 1 1 1 1 +0 1 0 1 1 0 1 0 1 1 1 0 0 +1 0 0 1 0 1 0 0 0 0 0 0 1 +1 1 1 1 0 0 0 0 0 0 1 0 1 +0 0 1 0 0 0 1 0 1 1 0 0 0 +1 1 0 0 1 0 1 1 0 0 0 1 0 +1 1 1 1 0 1 1 0 1 1 1 1 0 +1 1 1 1 1 0 1 1 1 1 0 1 1 +1 0 1 1 1 1 1 1 1 0 0 0 0 +0 0 0 0 1 1 0 1 0 0 0 1 0 +1 1 1 0 1 0 0 0 1 0 1 1 0 +0 1 1 1 0 0 1 0 1 0 0 1 0 +0 0 0 0 0 1 1 1 1 0 1 1 1 +0 1 0 0 0 1 0 1 0 0 1 1 1 +1 1 1 1 0 1 0 1 1 1 0 0 1 +0 1 1 0 0 0 0 0 0 1 0 1 1 +1 1 1 0 1 1 1 1 1 0 1 1 1 +0 1 1 1 0 0 0 0 1 0 0 1 1 +0 0 1 0 1 1 0 1 0 0 0 1 1 +0 1 0 1 1 1 0 0 1 1 0 0 1 +1 0 1 0 0 0 1 0 0 0 1 1 1 +0 0 1 1 1 0 0 0 1 0 0 1 0 +1 1 0 1 0 0 0 1 0 1 0 0 0 +0 1 0 0 0 0 0 0 0 1 1 0 0 +1 0 0 0 1 0 0 1 1 1 1 0 1 +1 1 0 1 0 1 0 0 1 1 0 1 0 +0 0 0 1 1 1 1 1 0 0 1 0 0 +1 1 1 1 0 0 1 0 1 0 0 1 0 +0 1 0 0 0 0 0 1 1 1 0 1 1 +0 0 1 0 1 0 0 1 0 1 0 1 0 +1 1 1 0 1 1 1 1 1 0 1 1 1 +1 0 0 0 0 0 0 0 0 0 1 0 0 +0 0 1 1 0 1 0 1 0 0 0 0 0 +0 0 1 1 1 1 1 0 1 0 0 1 1 +0 1 0 0 1 1 0 0 0 0 1 0 1 +0 0 1 1 0 1 1 0 1 1 0 1 1 +0 1 1 0 1 0 1 1 0 1 1 1 0 +0 1 1 0 0 1 1 0 1 0 0 0 1 +0 0 0 1 1 1 1 0 0 1 0 1 0 +0 0 1 1 1 1 0 0 1 1 0 1 0 +1 0 0 1 1 0 1 1 1 1 1 1 0 +1 0 0 1 0 0 0 0 0 0 0 1 1 +0 0 0 1 1 0 0 1 0 0 0 0 0 +1 0 0 1 0 1 0 1 0 1 0 0 0 +1 0 1 1 0 1 1 0 1 0 0 0 0 +0 0 0 0 0 0 1 1 0 0 1 1 1 +0 0 0 1 0 0 1 1 0 1 0 1 1 +1 1 1 0 1 0 0 1 1 0 0 0 1 +1 1 0 1 0 0 1 1 1 1 0 0 1 +0 0 1 0 1 0 0 0 0 1 0 1 0 +1 1 1 0 0 0 1 1 0 1 1 0 0 +1 0 1 0 1 1 1 1 0 1 0 0 0 +1 0 1 1 1 1 0 0 1 1 1 1 1 +1 1 1 0 1 0 0 0 1 0 1 1 1 +0 0 1 1 1 1 1 0 1 0 0 0 0 +0 1 0 0 1 0 0 1 0 0 1 0 0 +1 1 0 1 1 1 0 1 0 1 0 0 0 +0 0 1 1 1 0 1 1 1 0 0 0 1 +1 0 0 1 1 0 0 1 0 1 1 1 1 +1 1 0 1 1 0 0 1 0 1 0 1 0 +1 0 0 0 1 0 1 1 1 0 1 0 0 +1 1 0 1 1 1 1 1 1 1 1 0 0 +0 1 1 0 0 0 0 1 1 0 0 1 1 +1 0 0 1 1 1 1 1 0 1 1 1 0 +0 1 1 1 0 0 1 0 1 0 0 0 0 +0 0 1 0 1 1 1 0 0 1 0 0 1 +1 1 1 0 1 1 1 0 0 0 0 0 1 +1 0 1 0 1 1 1 0 1 0 0 1 0 +0 1 0 1 1 0 1 1 1 0 0 0 0 +1 1 0 1 0 0 0 0 1 1 0 1 0 +0 0 1 0 1 0 0 0 1 0 0 0 0 +1 0 1 1 0 1 1 1 0 0 1 0 0 +0 1 1 0 0 0 1 1 1 1 1 1 1 +1 0 0 1 1 0 1 0 0 1 1 0 1 +0 1 0 0 0 0 1 0 0 0 0 0 0 +1 0 1 0 1 1 0 1 1 1 1 0 0 +0 0 0 1 1 0 1 0 0 0 1 1 0 +0 0 1 0 0 0 0 0 0 1 0 1 0 +0 0 1 1 1 0 0 0 1 0 1 0 1 +0 0 1 1 0 0 1 1 1 1 1 1 0 +0 1 0 1 1 1 1 1 1 1 0 0 0 +1 1 0 1 1 0 0 0 1 0 1 1 1 +1 0 0 0 1 1 0 0 0 1 1 1 1 +0 0 0 1 0 0 0 1 0 0 1 1 1 +0 0 0 0 1 1 0 1 1 0 0 0 0 +0 0 0 0 1 1 1 0 1 1 1 1 0 +1 1 0 1 1 0 1 0 0 0 0 1 1 +0 1 0 0 1 1 0 1 1 0 1 0 0 +0 0 1 0 0 0 0 1 0 0 0 0 0 +0 0 0 0 1 1 1 0 1 1 1 0 1 +0 0 0 1 0 1 1 1 1 0 1 0 0 +1 1 1 0 1 0 1 0 0 1 1 0 0 +0 1 0 1 1 0 1 1 1 1 0 0 0 +1 1 0 0 1 0 0 1 1 1 1 1 0 +1 0 1 1 1 1 0 1 1 1 1 0 1 +0 0 0 1 0 0 0 0 0 0 0 1 0 +1 0 1 1 0 1 1 0 1 0 0 0 0 +1 1 1 0 0 1 0 1 1 1 1 0 1 +0 1 0 1 1 1 0 1 0 0 0 0 1 +1 0 1 0 1 0 1 0 0 1 1 0 0 +1 0 0 1 0 0 1 1 1 0 1 0 1 +0 1 0 1 1 0 1 1 1 1 1 1 0 +0 1 1 1 1 1 0 1 0 1 0 1 0 +0 0 1 1 0 0 1 1 0 0 1 0 0 +1 0 1 0 1 1 0 1 1 1 1 0 1 +1 0 0 0 1 0 0 1 0 0 0 0 1 +1 0 0 1 0 1 0 1 0 0 0 0 0 +1 0 1 1 1 0 1 0 0 0 0 0 1 +1 1 1 1 1 1 1 0 1 0 1 0 1 +0 0 0 1 0 1 0 1 0 1 0 1 1 +1 1 0 1 1 0 1 1 1 1 1 0 0 +1 0 0 1 1 1 1 0 0 0 1 0 1 +1 1 1 0 1 1 0 0 1 0 0 0 1 +1 0 1 1 0 0 0 0 0 0 1 0 0 +0 1 1 0 0 0 1 0 1 0 0 1 0 +0 0 1 0 0 1 1 1 1 1 1 0 0 +0 0 1 0 1 1 0 0 0 1 1 0 1 +1 0 1 1 0 1 0 0 1 0 0 0 1 +0 1 0 1 0 1 1 0 0 0 0 1 1 +1 0 0 1 0 1 0 1 1 0 1 0 0 +0 0 1 1 1 1 1 0 1 0 1 1 1 +1 0 0 1 0 1 1 0 0 0 1 1 1 +1 0 1 1 0 0 1 1 0 0 0 1 1 +1 0 1 1 0 1 0 0 1 0 0 0 0 +0 1 0 0 0 0 1 1 1 1 0 0 0 +0 0 0 0 1 1 0 0 0 1 1 0 0 +0 1 0 0 0 0 0 1 0 0 1 1 1 +1 0 0 1 0 0 1 0 1 1 0 1 1 +0 1 0 0 0 0 0 0 1 0 0 0 0 +1 1 1 1 0 0 0 0 0 1 0 1 0 +0 1 1 0 0 1 0 1 0 1 1 1 0 +1 0 1 1 0 1 1 1 1 0 0 1 1 +0 0 0 1 1 0 0 0 0 1 1 0 1 +0 0 0 0 0 0 0 1 1 1 0 1 0 +1 1 0 1 0 0 0 1 0 1 0 0 1 +1 1 1 1 0 0 1 0 0 1 1 1 0 +1 1 0 1 0 1 1 1 0 0 0 1 0 +0 1 1 1 0 1 1 1 0 1 0 1 1 +1 1 0 0 1 0 0 1 0 1 1 0 0 +1 0 0 0 1 1 1 0 0 0 1 1 1 +0 1 1 1 1 1 0 0 1 0 1 0 0 +1 0 0 0 0 1 0 1 0 0 1 1 0 +1 0 1 1 1 0 0 0 1 0 0 0 1 +1 1 0 1 0 0 1 1 1 1 0 0 1 +1 0 0 1 1 0 0 0 0 1 1 0 0 +1 1 1 0 0 1 0 0 1 1 1 1 1 +1 0 1 1 1 0 1 0 0 0 0 1 0 +0 0 1 0 0 0 0 0 0 0 1 0 0 +1 1 1 0 1 0 1 1 1 1 1 1 1 +0 1 0 0 0 0 0 1 1 1 1 0 1 +0 0 1 0 0 0 0 0 1 1 0 1 0 +1 0 0 1 0 0 0 0 0 0 0 1 1 +1 1 1 1 0 1 0 1 0 1 0 0 1 +0 1 1 0 0 1 1 0 1 0 1 0 1 +1 1 1 1 0 1 0 0 0 0 0 0 1 +0 1 1 0 1 0 0 0 1 1 1 0 1 +1 1 1 1 1 0 0 0 0 0 0 0 0 +0 1 0 0 0 0 1 0 0 1 0 0 1 +0 0 1 1 0 0 1 0 1 0 0 0 0 +1 0 1 1 0 0 0 1 0 0 0 0 0 +0 0 0 1 1 0 1 1 0 0 1 1 0 +0 0 0 0 1 1 0 0 0 1 0 1 1 +0 1 1 1 0 0 1 1 0 0 1 1 1 +1 1 1 0 1 1 1 1 0 0 0 0 1 +0 0 1 0 1 0 1 0 0 1 0 1 1 +1 0 0 0 1 1 1 0 1 0 0 1 1 +0 1 0 1 0 0 0 1 0 1 1 1 1 +0 0 0 1 0 0 1 0 1 1 0 0 1 +1 0 1 0 1 1 1 0 1 1 0 0 0 +0 0 0 0 0 0 1 0 1 1 0 0 0 +0 0 0 0 1 0 0 0 1 1 0 0 0 +0 0 1 1 1 0 1 1 0 0 0 0 0 +0 1 1 0 0 0 1 1 0 0 1 1 1 +0 1 1 1 0 1 1 0 0 0 0 1 1 +0 1 1 1 0 1 1 1 1 0 0 1 0 +0 1 1 0 1 1 1 0 0 0 1 0 1 +0 1 0 0 0 1 1 0 1 0 0 1 0 +1 1 0 0 1 0 0 1 1 1 0 1 0 +1 0 1 1 1 1 0 1 0 1 1 0 1 +0 0 0 1 0 0 1 0 0 0 1 0 0 +1 0 1 0 1 0 0 1 0 0 0 0 1 +1 1 1 0 1 1 0 0 0 1 0 1 0 +0 0 0 0 1 0 0 0 1 1 1 0 1 +0 1 1 1 0 1 0 0 1 1 0 0 1 +0 0 1 0 1 0 1 1 0 0 1 0 1 +1 1 0 0 0 0 1 1 0 1 1 1 0 +0 1 1 1 0 0 0 0 0 1 1 1 0 +0 0 1 1 0 0 0 1 1 0 1 0 0 +1 0 1 0 0 0 1 1 0 1 0 1 1 +0 0 1 1 1 1 0 0 1 1 1 1 0 +0 0 0 0 1 0 0 1 0 1 0 1 1 +0 1 1 1 0 0 1 0 0 1 0 0 1 +0 0 1 1 1 0 0 1 0 0 0 0 1 +0 1 0 0 1 0 1 0 1 0 0 0 1 +1 0 0 1 0 1 1 0 1 1 0 0 0 +1 0 0 0 1 1 0 0 1 1 1 1 1 +0 0 0 0 1 1 0 0 0 0 1 0 1 +0 0 1 1 0 0 0 1 0 0 0 0 0 +1 1 1 0 1 1 0 1 1 1 0 1 0 +1 0 0 0 1 0 0 1 1 0 1 1 1 +1 1 1 1 0 1 0 0 0 1 1 1 1 +0 1 1 0 1 0 0 0 1 0 0 1 0 +0 1 0 1 1 1 1 1 0 0 0 1 1 +0 1 1 1 1 0 0 1 0 0 0 1 1 +0 0 0 1 0 1 0 0 1 1 1 0 0 +1 1 0 1 0 0 1 1 0 1 0 1 0 +1 0 1 0 0 0 1 0 0 1 1 1 0 +0 0 1 0 0 1 1 0 1 0 1 0 1 +1 0 1 0 1 1 1 1 0 1 0 1 0 +1 1 1 1 1 0 1 0 0 0 0 1 0 +0 0 0 1 0 1 0 0 0 0 1 0 1 +1 0 1 1 0 0 0 1 1 0 1 1 0 +1 0 0 0 0 1 0 1 1 0 0 1 1 +0 0 0 1 1 1 1 0 0 0 1 0 1 +1 1 1 0 0 0 1 0 0 0 0 0 1 +1 0 0 1 0 1 0 0 1 1 1 1 1 +1 0 0 0 1 1 1 0 1 1 0 1 0 +0 1 1 0 0 0 1 0 0 0 0 0 1 +1 0 0 1 0 1 1 1 1 0 1 0 1 +0 1 1 1 0 0 0 1 1 1 0 0 0 +0 0 1 0 0 1 1 0 1 0 1 0 0 +0 0 1 1 0 1 0 0 0 1 1 1 0 +0 0 0 1 0 0 0 0 0 0 1 0 0 +1 1 1 1 0 1 1 1 1 1 1 0 1 +1 1 0 1 1 1 0 0 1 0 1 1 0 +1 0 0 1 0 1 0 1 0 1 1 0 1 +0 0 0 0 1 0 0 0 0 0 1 1 1 +1 0 1 0 1 1 1 1 0 0 0 0 1 +1 0 0 0 1 1 0 0 1 1 0 0 1 +0 1 0 0 1 1 1 0 1 0 0 1 1 +1 1 1 1 1 0 0 1 1 1 1 0 0 +0 0 1 1 0 1 0 1 0 0 0 0 0 +1 0 1 1 1 1 0 0 1 1 0 1 1 +1 1 1 1 1 0 0 1 0 0 1 1 1 +0 1 0 0 1 1 0 1 0 0 1 1 0 +1 1 1 0 0 1 0 1 1 0 0 1 1 +1 0 1 0 0 1 1 1 1 1 0 1 1 +1 0 0 1 1 0 0 0 1 1 0 0 1 +0 1 0 1 1 0 0 1 0 1 0 0 1 +1 1 1 1 0 1 0 1 1 1 0 0 1 +0 0 0 0 1 0 0 1 1 0 1 0 0 +1 1 1 0 0 1 0 1 0 1 0 0 1 +1 1 1 0 1 0 1 1 1 1 1 0 0 +0 1 0 1 1 1 1 1 1 1 0 1 0 +0 1 0 0 1 0 1 1 0 1 1 1 1 +1 1 1 0 1 1 0 0 0 1 1 0 1 +0 1 0 1 1 0 1 1 0 1 1 1 1 +1 1 0 0 0 1 0 0 0 0 1 0 1 +0 1 0 0 0 0 0 1 1 1 1 1 0 +0 1 1 0 0 0 0 0 0 1 1 1 0 +1 0 1 1 0 0 1 0 0 1 0 1 1 +1 0 1 1 0 0 0 0 1 0 0 1 1 +0 0 1 0 1 1 0 0 0 1 0 1 0 +0 0 1 0 1 1 0 1 0 0 0 0 1 +1 0 0 1 1 0 1 0 1 1 0 1 1 +0 0 1 1 0 0 1 1 0 1 1 0 1 +0 0 0 1 1 1 0 1 0 1 1 1 0 +0 0 1 0 1 0 1 1 1 0 1 1 0 +1 1 1 0 0 1 1 0 1 0 1 1 0 +0 1 0 1 1 0 1 1 1 1 1 1 0 +0 0 1 1 0 1 0 1 0 1 0 1 1 +1 1 1 1 0 1 0 0 1 1 1 1 1 +0 0 0 1 1 0 0 0 1 0 1 1 0 +1 1 0 1 1 1 1 0 0 0 1 1 0 +0 0 1 0 1 1 0 1 1 1 0 1 1 +0 0 1 1 0 0 0 0 1 0 1 1 1 +1 0 1 1 1 0 1 1 0 1 1 0 1 +1 1 1 1 0 1 1 1 0 0 0 1 0 +1 0 1 0 0 1 1 0 0 1 0 1 0 +0 1 0 0 1 0 1 1 1 0 0 1 0 +0 1 0 1 0 1 1 1 1 0 1 1 1 +1 1 1 1 1 0 1 1 0 1 1 0 1 +0 1 0 1 0 0 0 0 0 1 1 1 1 +0 0 0 0 0 1 1 1 1 0 1 0 1 +0 0 0 0 1 1 0 0 1 0 0 0 1 +1 1 0 0 1 0 1 0 0 0 1 0 0 +1 0 0 0 0 1 1 0 0 0 0 1 1 +0 1 1 0 0 0 1 0 1 1 0 1 1 +1 1 1 1 1 0 0 0 1 0 1 1 0 +0 1 1 0 1 1 1 1 1 0 1 1 0 +0 1 0 1 0 0 1 1 0 0 1 1 1 +1 1 1 1 1 1 1 1 1 1 1 1 1 +1 0 1 0 0 0 1 0 1 1 0 0 1 +1 1 0 1 1 1 0 1 0 0 0 0 0 +1 1 1 1 1 1 0 1 0 1 0 0 0 +0 1 1 0 0 1 0 1 0 0 1 1 1 +0 0 0 0 0 1 0 0 0 0 0 0 1 +0 0 0 1 0 1 0 1 0 1 1 1 0 +0 0 1 0 1 0 1 0 1 1 0 0 1 +1 0 0 1 0 1 1 0 0 1 1 0 1 +0 0 1 0 1 0 0 1 0 0 0 1 0 +0 1 0 0 0 1 1 1 0 0 1 1 1 +0 1 0 1 0 1 0 1 0 1 1 1 0 +0 0 1 0 0 1 1 1 0 1 0 1 1 +1 0 1 1 1 0 1 0 1 1 0 1 1 +1 1 0 1 1 1 0 1 0 1 1 0 0 +0 0 1 0 1 1 0 0 1 0 0 1 1 +0 1 0 0 1 0 0 1 0 1 0 1 1 +1 1 1 1 1 1 0 0 0 1 0 0 0 +1 1 0 1 0 0 0 0 0 1 0 0 0 +0 0 0 0 1 1 0 0 0 1 0 0 0 +1 0 0 1 0 0 0 1 0 1 0 1 1 +1 1 0 1 0 0 1 1 0 0 1 0 0 +0 1 0 0 0 0 1 0 0 1 0 1 0 +1 1 1 1 1 0 0 0 1 0 0 1 0 +0 1 0 1 0 0 1 0 0 1 1 0 1 +1 0 0 0 1 0 0 1 1 1 0 1 1 +1 1 1 1 0 0 1 0 1 1 0 0 1 +1 0 1 0 0 1 0 0 1 1 0 0 1 +1 1 1 1 0 1 1 1 0 1 1 1 0 +0 1 0 1 0 0 0 0 0 1 1 0 0 +0 1 0 1 1 0 0 0 1 0 0 1 0 +1 0 0 1 0 0 1 0 1 0 0 0 1 +0 1 0 1 1 0 1 0 1 0 1 1 1 +1 1 0 1 0 0 1 0 0 1 0 0 1 +0 1 1 0 0 0 0 1 1 0 1 1 1 +0 1 1 0 0 1 0 0 1 1 1 1 1 +0 1 0 0 1 1 1 0 0 1 1 1 1 +0 1 0 0 1 1 0 0 0 1 0 1 0 +0 0 1 1 0 1 0 0 1 1 0 1 0 +0 0 0 1 1 0 1 0 1 1 1 0 0 +0 0 0 0 0 0 1 1 0 0 0 1 0 +0 0 0 1 0 0 1 0 0 0 1 0 1 +1 0 0 1 1 1 1 1 1 0 0 1 1 +1 0 1 0 0 1 1 0 0 0 0 1 0 +1 0 1 0 1 0 1 1 1 1 0 1 0 +0 1 0 1 0 1 0 1 0 0 0 0 1 +0 1 1 1 1 1 1 0 0 0 1 1 1 +1 0 1 1 0 1 0 0 1 1 1 0 1 +1 1 1 0 1 1 0 0 1 0 1 0 0 +1 0 1 0 1 1 1 0 0 1 1 0 1 +1 0 1 1 0 1 1 0 1 1 1 0 0 +0 1 0 1 1 0 1 0 1 1 0 1 0 +1 1 1 1 1 0 1 0 0 1 0 0 0 +0 1 1 0 1 1 0 0 0 1 1 1 0 +0 0 0 1 0 0 0 1 0 0 0 1 1 +0 0 0 0 0 0 0 1 1 1 1 1 1 +0 1 0 1 1 0 1 1 1 0 0 0 1 +0 1 0 1 0 0 1 0 1 0 0 0 0 +1 1 0 0 0 1 0 1 0 0 1 1 0 +1 0 1 0 0 1 0 0 1 0 0 0 1 +0 0 1 0 0 1 0 1 0 1 0 1 1 +1 0 1 0 1 0 0 0 1 0 0 0 0 +0 1 1 0 1 1 1 0 1 0 0 0 0 +1 0 1 0 0 1 1 1 1 1 0 1 1 +0 1 1 0 0 0 0 1 1 0 1 0 0 +0 1 1 1 0 1 1 0 1 0 0 1 0 +0 1 0 1 1 1 1 1 1 1 0 0 0 +1 1 0 1 0 1 1 0 1 1 0 1 1 +1 1 1 0 0 1 0 0 0 1 1 0 1 +1 0 0 1 0 0 1 1 1 1 1 0 1 +1 0 0 0 0 1 1 0 1 1 1 1 1 +0 1 0 1 0 0 1 0 1 1 1 0 1 +0 0 1 1 1 0 1 1 1 0 1 1 1 +0 0 0 0 1 0 1 0 1 0 0 1 0 +1 1 0 0 1 0 0 1 0 1 0 0 1 +0 0 1 0 1 0 0 0 0 1 0 1 1 +0 1 1 1 0 1 1 1 0 1 1 0 1 +0 1 1 0 0 0 1 1 0 0 1 1 0 +1 0 1 1 0 1 0 1 1 1 0 1 0 +0 0 0 0 0 1 1 1 1 1 0 1 0 +1 1 0 1 1 0 1 1 1 1 0 1 1 +1 0 0 1 1 0 0 0 0 1 0 0 1 +0 0 1 1 1 1 1 1 1 0 0 0 1 +0 0 0 0 0 1 1 0 0 1 0 1 1 +0 1 1 1 0 1 0 1 1 1 1 1 0 +1 1 1 0 0 0 1 0 0 0 1 0 0 +0 1 1 1 1 0 0 1 0 0 0 0 1 +0 0 1 1 0 1 1 1 1 1 0 1 0 +1 1 1 0 0 0 0 0 1 1 0 0 1 +1 0 0 1 1 1 1 0 0 0 0 0 0 +0 1 1 1 1 0 1 0 1 1 0 1 1 +1 0 0 1 1 1 1 1 0 1 1 0 0 +0 1 1 1 0 0 1 1 1 1 0 0 0 +1 0 1 0 1 1 1 0 1 1 0 0 0 +1 0 0 0 1 0 0 1 1 0 1 0 0 +0 0 1 0 1 0 1 1 1 0 1 1 1 +0 1 1 0 0 0 0 0 0 1 0 1 1 +1 0 0 1 0 0 1 1 0 0 1 1 1 +1 1 0 1 1 1 1 0 1 0 0 1 0 +1 1 1 1 0 0 1 0 0 1 0 0 1 +1 0 0 0 1 1 1 0 1 1 0 1 0 +0 1 0 1 0 0 1 0 1 0 0 1 0 +0 1 0 0 0 1 0 1 1 1 1 1 0 +1 0 1 0 0 1 1 0 0 0 0 0 0 +0 1 0 0 1 0 1 0 0 0 0 0 0 +1 0 1 0 0 0 1 0 0 0 0 1 1 +0 0 1 1 1 1 0 0 1 1 1 0 0 +1 0 1 1 0 1 1 1 1 0 0 1 1 +0 0 1 1 0 0 0 1 0 1 1 0 0 +0 0 1 0 0 1 0 0 0 1 1 0 1 +1 1 1 1 1 1 0 0 0 0 1 0 0 +0 0 0 0 1 1 1 0 0 0 1 0 0 +1 1 1 0 1 1 0 0 1 1 0 1 0 +0 1 0 0 1 0 1 0 1 1 0 0 1 +0 0 1 0 1 1 1 1 0 0 0 0 0 +1 1 1 1 1 0 1 0 0 1 0 1 0 +0 1 1 0 1 1 1 1 0 0 1 0 0 +0 1 0 0 1 0 0 0 1 1 0 0 0 +0 1 1 0 0 1 0 0 0 1 0 0 1 +0 0 1 1 1 1 0 0 1 0 0 1 0 +0 0 0 0 1 0 0 0 1 1 0 1 1 +0 0 0 0 1 1 0 0 1 1 0 1 0 +0 1 0 1 0 1 0 0 0 1 1 1 0 +1 1 1 0 1 0 0 1 1 0 1 1 1 +1 1 1 0 0 1 0 1 1 0 0 1 0 +0 0 1 0 1 0 1 0 0 1 1 0 0 +0 1 0 1 1 0 1 0 1 0 1 1 1 +0 0 0 1 0 1 1 1 0 1 1 1 1 +0 1 1 0 0 0 1 1 0 1 1 0 1 +0 1 1 1 0 0 0 1 1 1 1 0 1 +1 1 0 0 1 0 1 0 0 1 0 0 0 +0 0 1 1 0 0 0 0 1 0 1 0 0 +1 1 0 0 0 1 1 0 1 0 1 1 0 +0 1 0 1 1 0 1 0 1 0 0 0 0 +0 1 0 0 1 1 0 0 1 0 1 0 1 +1 1 0 1 1 1 1 1 0 0 1 1 1 +1 1 1 1 1 0 0 1 0 0 1 1 1 +1 0 0 0 1 1 0 0 1 1 1 1 1 +0 0 1 0 0 0 0 1 0 1 1 0 0 +0 1 0 0 1 0 0 1 1 0 1 1 1 +1 1 0 0 1 0 0 0 0 1 0 1 1 +0 0 1 1 1 0 1 0 0 1 1 1 0 +1 1 1 0 1 0 0 1 0 1 0 1 0 +0 0 1 1 0 0 0 0 1 1 1 1 0 +1 0 1 0 1 0 0 1 1 0 0 0 0 +1 0 0 0 0 0 0 1 1 0 1 1 1 +1 0 0 0 1 0 0 1 0 1 0 0 1 +1 0 1 0 0 0 0 1 1 1 1 0 1 +1 1 0 1 0 1 1 0 0 0 1 1 1 +1 0 0 1 0 1 1 1 1 0 0 0 1 +0 0 0 1 1 1 1 0 0 0 1 0 1 +1 0 0 0 0 0 1 0 0 0 1 1 1 +0 1 0 0 1 1 1 0 1 0 0 0 0 +0 1 0 0 1 1 0 1 0 0 0 1 1 +1 0 1 0 1 0 0 1 0 1 0 1 1 +1 0 0 1 0 1 1 1 1 0 0 1 0 +0 0 1 1 1 1 0 1 0 1 1 0 1 +0 1 0 0 0 1 1 0 0 1 0 0 0 +0 0 0 1 0 0 1 1 1 0 1 0 0 +0 1 0 1 0 1 1 1 1 1 0 1 1 +0 0 1 0 0 0 1 0 0 0 1 1 0 +1 0 1 1 0 1 1 1 1 0 1 1 1 +1 1 1 1 1 0 1 0 1 1 1 1 0 +1 0 0 0 1 1 0 0 0 1 0 1 0 +1 1 1 1 0 1 1 0 1 0 1 0 0 +1 1 1 1 0 0 0 1 1 1 0 1 1 +1 0 0 0 1 1 0 0 1 1 0 1 1 +1 1 1 1 0 1 0 1 0 0 1 0 1 +0 1 0 0 0 0 0 0 1 0 0 1 0 +0 0 0 1 1 1 1 1 0 0 0 0 0 +0 1 1 1 0 0 1 0 0 1 1 1 1 +0 0 1 1 0 0 1 1 0 1 1 0 0 +1 1 0 0 1 1 1 0 1 0 1 1 0 +1 1 1 1 1 0 0 1 1 1 0 1 0 +1 0 0 1 1 0 1 0 1 1 0 0 0 +1 0 1 1 1 1 1 1 1 1 1 1 0 +0 0 0 0 1 1 0 1 0 1 1 0 1 +0 1 1 1 0 0 0 1 0 1 1 0 1 +0 1 0 0 0 0 1 0 1 1 1 0 1 +1 0 0 1 1 0 0 1 0 1 0 1 0 +0 1 1 0 1 0 0 1 1 1 0 0 1 +0 1 1 1 0 0 0 0 0 0 1 1 1 +1 0 0 0 0 1 1 1 1 1 0 0 1 +0 0 0 0 0 1 1 0 1 1 1 1 0 +0 0 0 0 0 1 0 1 1 1 0 1 0 +0 1 1 0 1 1 1 0 1 1 0 1 1 +1 0 1 1 1 0 1 0 1 0 0 1 1 +1 0 1 0 1 1 1 1 1 1 1 1 1 +0 1 1 1 1 0 0 0 1 1 0 0 1 +1 0 0 0 0 0 0 0 0 0 0 0 1 +1 0 0 1 1 1 0 1 0 0 1 0 0 +0 0 0 0 0 0 0 0 1 0 0 0 0 +1 1 1 0 0 1 1 0 0 0 1 1 1 +0 1 1 0 1 1 1 0 1 0 1 1 0 +1 1 0 1 1 0 0 1 1 0 0 0 0 +1 0 0 0 0 1 0 0 1 0 1 0 0 +1 0 1 1 0 1 1 1 0 0 1 1 1 +0 0 0 0 0 0 1 1 0 1 1 0 1 +0 1 1 1 1 1 0 0 1 0 1 0 1 +1 1 1 0 1 1 0 1 0 0 0 0 1 +0 0 1 1 1 1 1 1 0 0 1 1 0 +1 1 0 0 1 1 0 0 0 1 0 0 0 +0 1 1 1 0 1 1 0 1 1 0 1 1 +0 0 1 1 0 0 1 0 0 0 0 1 0 +0 0 0 0 0 1 0 0 1 0 1 1 0 +0 0 1 1 1 0 0 0 1 1 0 0 0 +0 1 1 0 1 0 0 1 1 0 0 1 1 +0 0 0 0 0 0 0 0 0 0 1 0 0 +1 0 1 0 1 1 1 1 0 1 0 0 0 +0 0 0 0 1 1 1 0 1 1 0 0 1 +0 0 1 0 0 0 0 1 1 0 0 0 1 +0 0 0 1 1 0 0 0 0 1 0 0 1 +0 0 1 1 1 0 1 1 0 1 1 1 0 +0 0 0 0 1 1 0 1 1 1 1 1 0 +0 0 0 1 0 1 1 1 1 0 0 1 1 +1 1 0 1 1 0 1 1 0 1 0 0 1 +0 1 0 1 0 0 0 0 0 1 1 0 0 +1 0 1 0 1 0 0 1 0 1 1 1 1 +0 1 1 1 1 1 1 0 1 1 1 1 0 +1 0 0 0 1 1 0 0 1 1 0 0 0 +0 1 0 1 1 0 0 0 0 0 0 0 0 +1 1 1 1 0 1 0 1 0 0 1 1 1 +1 1 1 1 0 1 1 1 0 0 1 0 1 +1 1 1 1 0 1 1 0 1 0 0 1 1 +0 1 0 1 0 1 1 1 1 0 1 0 1 +0 0 0 1 0 1 0 1 0 0 1 1 1 +0 1 0 0 0 0 0 1 0 1 1 1 0 +1 1 0 1 1 0 1 1 1 0 0 1 0 +1 0 0 1 0 0 0 0 1 0 0 0 1 +1 1 1 0 1 0 1 0 0 0 0 1 0 +0 0 0 1 0 1 1 0 0 0 0 1 1 +0 1 1 1 0 0 1 0 0 1 1 1 0 +1 0 0 0 0 0 1 0 0 0 1 1 1 +0 1 1 0 0 1 1 1 1 1 1 1 0 +0 0 1 0 1 1 0 1 1 1 1 0 1 +0 0 0 1 1 1 0 1 1 1 1 1 0 +1 1 0 1 0 1 0 0 1 1 0 1 1 +0 0 0 0 0 0 0 0 1 1 0 0 0 +0 1 0 0 1 1 0 0 1 0 0 1 0 +1 1 0 0 0 0 0 1 1 1 1 0 0 +0 0 1 0 1 1 0 1 1 1 0 1 1 +0 1 0 0 1 0 0 1 1 0 1 1 1 +1 0 1 1 0 0 0 0 1 0 1 0 0 +1 1 1 0 1 1 1 0 0 1 0 0 1 +0 1 1 1 0 1 0 1 1 0 0 1 0 +1 0 0 0 1 1 0 1 0 0 0 1 1 +0 0 0 0 0 0 1 1 0 1 1 1 1 +0 1 0 0 1 0 1 0 1 0 1 0 1 +0 1 0 1 1 1 0 1 0 0 1 0 0 +1 0 1 0 0 0 0 0 1 1 0 0 0 +0 0 1 1 1 1 1 0 0 1 1 0 1 +1 0 1 0 0 1 0 0 0 0 0 1 0 +0 1 0 1 1 0 0 1 0 1 0 1 1 +0 0 0 0 1 0 0 1 1 0 0 0 0 +1 0 1 1 0 0 0 1 0 0 1 0 1 +1 0 1 1 1 1 0 0 0 0 1 0 0 +1 0 0 0 0 1 0 0 0 1 1 0 1 +1 0 0 1 1 1 0 0 1 1 0 0 0 +1 1 0 0 1 1 0 1 1 1 0 0 0 +0 0 0 0 0 1 1 1 0 0 0 0 1 +0 0 0 1 1 0 0 0 0 0 0 0 0 +1 1 1 0 1 0 1 0 1 0 0 0 0 +0 0 0 1 1 1 1 1 0 0 0 1 1 +1 1 0 1 1 1 1 0 1 0 0 0 0 +0 0 1 1 1 0 0 0 1 0 0 1 1 +0 1 1 0 1 1 0 1 0 0 1 0 1 +1 1 0 0 1 1 1 1 0 1 0 0 0 +0 1 1 0 0 0 1 0 0 1 1 1 0 +1 0 1 0 1 0 1 0 1 1 1 0 0 +1 0 0 0 1 1 1 1 0 0 1 0 1 +0 1 0 0 1 0 0 0 0 1 0 0 0 +0 0 1 1 1 1 0 0 1 0 1 0 0 +1 0 0 1 0 1 1 1 1 0 1 0 0 +1 0 0 1 0 1 0 0 1 1 1 1 1 +1 1 1 0 0 1 0 1 0 1 1 0 0 +1 0 1 0 0 1 0 0 0 0 0 1 1 +0 0 0 0 1 0 1 0 1 0 1 0 0 +0 0 0 1 1 0 0 0 1 0 1 1 1 +0 0 0 0 0 1 0 1 0 1 0 1 0 +1 1 0 0 0 1 0 0 0 0 0 1 1 +0 1 0 1 1 0 1 0 1 0 0 0 0 +0 0 0 0 0 0 1 1 0 1 1 1 1 +1 0 0 1 0 0 0 1 1 1 0 1 0 +1 0 1 1 0 1 1 1 0 0 1 1 1 +1 1 0 1 0 1 0 1 0 1 1 0 0 +0 1 0 0 0 0 1 0 0 0 1 0 0 +0 0 1 0 0 1 1 1 1 1 0 1 0 +0 1 1 0 0 0 1 0 0 0 1 1 0 +1 0 0 1 0 0 0 1 0 1 0 1 1 +1 0 1 1 0 0 0 1 1 1 1 0 0 +1 1 1 0 1 0 1 0 0 0 1 1 1 +1 1 0 0 0 0 1 1 0 0 0 1 1 +1 1 1 1 0 0 0 1 1 0 0 0 0 +1 1 0 0 0 1 1 1 1 0 1 1 1 +0 0 1 1 0 1 1 0 1 0 1 1 0 +1 0 0 0 0 0 1 1 0 0 0 1 1 +1 1 0 1 1 1 1 1 0 0 1 1 1 +1 1 0 0 0 1 0 1 1 0 0 1 0 +0 0 0 0 0 1 1 0 0 0 0 0 0 +1 0 0 0 1 1 0 1 0 1 1 0 1 +1 1 0 0 0 1 1 0 0 1 1 1 0 +0 1 0 0 1 0 0 1 0 0 1 0 1 +1 0 1 0 1 1 0 0 0 1 1 0 0 +1 1 1 0 1 1 0 0 1 0 0 0 0 +1 1 1 1 1 0 0 0 1 1 1 0 0 +1 0 0 1 1 1 0 0 1 0 0 0 1 +0 1 1 0 1 1 0 0 0 0 1 0 1 +1 0 0 0 1 1 1 0 1 0 1 0 0 +0 0 1 1 0 1 0 1 1 0 0 0 0 +0 1 1 0 1 0 0 0 1 1 0 0 0 +0 1 1 1 0 1 1 0 1 1 1 1 0 +1 1 1 0 1 0 0 1 1 1 0 1 0 +0 1 1 1 0 0 0 1 0 1 0 0 1 +0 1 1 0 0 1 1 0 1 1 1 0 1 +0 0 1 1 0 1 0 1 1 0 0 0 0 +0 0 0 0 0 0 0 1 0 0 0 1 0 +0 1 1 1 0 1 0 1 1 0 0 1 0 +1 0 1 1 1 1 0 0 0 0 1 0 0 +0 0 0 0 0 0 0 0 0 0 1 0 1 +1 0 1 0 0 0 0 0 1 1 1 0 1 +1 1 1 0 1 1 1 1 1 0 0 0 0 +1 1 1 1 1 0 0 0 1 0 0 0 1 +1 1 1 1 0 0 0 0 1 0 0 0 0 +1 1 0 1 1 0 1 1 1 0 0 0 1 +0 0 0 1 0 1 0 1 0 0 0 1 0 +0 0 1 1 1 1 1 1 1 0 1 0 0 +0 1 0 0 1 1 1 0 0 1 1 1 1 +1 1 1 0 1 1 0 0 1 1 1 1 0 +0 0 0 0 1 0 1 1 1 1 1 1 1 +0 0 0 0 1 0 0 1 1 0 0 1 1 +0 1 0 0 0 0 1 0 1 0 1 0 0 +0 0 1 0 0 0 0 0 0 0 0 0 0 +1 1 1 0 0 0 0 0 1 0 0 1 0 +0 0 0 1 1 0 0 0 1 1 1 0 0 +1 1 0 1 1 0 0 1 1 0 1 0 0 +1 1 1 0 0 0 1 1 0 0 1 0 0 +0 1 0 0 0 1 1 0 1 0 0 1 1 +1 0 0 0 0 1 0 0 1 1 1 0 0 +0 0 0 0 0 1 0 0 1 0 1 0 0 +1 1 0 1 0 1 0 0 0 0 1 0 0 +0 1 0 1 0 1 0 0 0 1 0 1 1 +0 0 0 1 0 0 1 0 1 1 0 0 1 +0 1 1 0 1 0 0 0 1 1 0 0 1 +1 1 0 1 0 0 0 1 1 1 1 0 1 +1 1 1 1 1 0 1 0 1 1 0 0 0 +0 1 1 1 1 0 0 1 1 0 1 0 1 +1 1 1 1 1 1 0 0 1 0 0 0 0 +1 0 1 1 0 0 0 0 0 1 1 0 0 +1 0 0 0 0 0 0 1 1 0 1 0 0 +1 0 1 1 1 0 1 1 0 1 1 0 1 +1 0 1 1 1 0 0 1 1 0 1 1 0 +1 0 0 0 1 1 0 1 1 0 1 1 0 +0 1 0 1 0 0 0 0 0 1 0 0 1 +1 0 0 0 0 0 1 0 1 0 0 0 1 +1 1 1 1 1 0 0 1 0 0 1 1 1 +1 1 0 1 1 0 1 1 1 0 0 1 1 +1 0 0 0 1 0 0 1 0 1 1 0 0 +1 1 1 0 1 1 1 1 1 1 0 0 1 +0 0 0 1 0 1 0 0 1 0 1 0 0 +0 1 0 1 0 0 0 1 0 1 1 0 1 +0 1 1 1 0 1 0 1 1 1 0 1 0 +1 1 1 0 0 0 1 0 0 1 0 1 0 +0 0 0 0 1 1 1 1 1 1 1 1 0 +1 0 0 1 1 0 0 1 0 1 1 1 0 +1 0 0 1 1 1 0 0 1 0 0 1 0 +0 0 1 1 0 1 0 0 1 1 0 1 0 +1 1 0 0 0 1 0 0 1 0 1 0 0 +0 0 0 1 1 0 0 1 0 0 0 0 0 +0 1 0 1 0 0 0 1 1 0 1 0 0 +1 1 0 1 1 1 0 1 0 0 1 1 1 +0 0 1 1 1 1 0 0 1 1 0 0 0 +0 0 0 0 1 1 1 1 0 1 1 1 0 +0 0 1 1 1 0 1 0 1 1 1 0 1 +0 0 1 1 1 1 1 0 1 1 0 1 1 +0 0 0 1 0 0 0 0 1 1 0 0 0 +1 1 0 1 1 0 0 0 0 0 1 0 0 +1 1 1 0 1 1 0 0 0 1 1 1 0 +0 1 0 0 0 0 0 1 0 0 0 1 1 +0 0 0 1 1 1 0 0 0 1 1 0 1 +0 1 0 1 0 1 0 1 1 1 0 1 0 +0 0 1 1 1 0 0 1 1 1 0 0 1 +0 1 0 0 0 0 0 0 0 1 0 0 1 +1 0 0 1 0 0 1 0 1 0 0 1 0 +0 0 0 0 0 0 1 1 0 1 1 0 0 +1 0 0 1 0 0 0 1 1 0 1 1 1 +0 1 1 1 0 1 0 0 0 1 0 1 0 +0 1 1 1 0 0 0 1 1 0 0 0 1 +0 0 1 0 1 1 1 0 0 1 0 0 1 +1 0 0 0 1 1 1 0 1 0 1 0 1 +0 0 1 0 0 1 1 0 0 1 0 0 0 +1 0 0 1 1 0 1 1 0 0 0 0 1 +0 0 1 0 0 1 0 0 1 1 1 1 0 +0 0 1 1 1 1 0 0 1 0 0 0 0 +0 1 0 1 1 1 1 1 0 0 1 0 1 +0 1 0 1 1 1 1 1 0 0 0 1 1 +1 0 0 0 0 0 1 1 0 0 0 0 0 +0 0 1 0 0 1 0 1 0 0 0 1 0 +1 0 0 0 0 0 1 1 1 1 0 0 1 +0 1 0 0 0 1 0 1 1 0 0 1 1 +1 1 1 1 0 0 1 1 0 1 0 0 0 +0 1 0 0 0 1 1 0 0 1 0 1 1 +0 0 0 0 0 0 1 1 0 1 0 1 1 +1 0 0 0 0 1 1 0 0 1 1 0 0 +0 1 1 1 0 1 0 1 0 1 0 0 1 +0 0 0 1 0 0 1 0 1 0 0 1 1 +1 1 0 1 1 0 1 1 0 0 0 1 0 +1 0 1 0 1 0 0 1 0 1 0 1 1 +1 1 1 1 0 0 1 0 1 0 0 1 0 +0 1 1 1 0 0 0 1 1 0 0 1 0 +0 1 1 1 1 0 1 1 1 1 0 0 1 +1 0 0 0 0 1 1 1 1 1 0 0 0 +1 0 0 0 0 0 1 0 0 1 1 1 1 +1 1 1 0 0 1 1 0 1 0 0 0 0 +0 0 1 1 1 1 1 1 1 0 0 1 1 +0 1 0 1 1 0 0 0 0 0 0 0 1 +0 1 1 0 0 0 0 0 1 1 1 1 0 +0 1 0 0 0 0 0 0 0 1 1 1 1 +0 1 1 0 1 0 1 1 0 0 1 1 1 +1 1 0 0 0 1 0 1 1 1 1 1 0 +0 1 1 1 1 0 0 1 1 0 1 0 1 +1 1 1 1 0 0 1 1 1 0 0 0 1 +0 0 0 1 0 1 1 1 0 1 0 1 1 +1 1 0 0 1 0 1 1 0 0 0 1 0 +0 1 0 0 0 0 0 0 1 1 0 0 1 +0 0 0 0 0 0 0 1 0 0 1 1 1 +0 0 0 0 0 0 1 0 1 0 1 1 1 +1 1 0 1 0 0 0 0 0 1 1 0 1 +0 1 0 1 0 1 0 1 1 1 0 0 1 +0 0 0 1 0 1 0 0 1 1 0 1 1 +1 1 0 0 1 1 1 1 1 1 1 1 0 +1 0 1 1 1 0 0 0 1 1 0 1 1 +1 1 1 0 1 1 1 0 0 0 0 1 0 +0 0 0 0 1 1 0 1 1 0 0 0 0 +0 0 0 0 1 1 1 1 0 0 0 0 1 +1 0 1 0 0 1 0 1 1 1 1 0 1 +1 0 1 0 0 0 0 1 0 0 1 0 1 +0 0 1 1 0 0 0 1 0 1 1 0 1 +1 0 0 1 0 0 1 0 0 0 0 0 1 +1 0 0 0 0 0 0 0 0 0 0 0 0 +0 0 0 0 0 0 1 0 0 1 0 1 0 +0 0 0 1 0 0 1 0 1 1 1 0 0 +1 0 0 0 0 0 1 0 0 0 1 0 0 +1 0 1 1 0 1 1 1 1 0 0 0 0 +1 1 1 0 0 1 0 0 0 0 1 1 0 +1 0 0 1 1 0 0 0 1 1 0 0 1 +0 0 1 1 0 1 1 0 0 1 1 1 0 +0 0 0 0 0 1 0 1 1 1 1 1 0 +0 1 0 1 0 1 1 0 1 0 1 0 0 +1 0 0 1 0 0 1 1 0 1 1 1 1 +1 0 0 0 0 0 0 0 1 0 0 1 0 +0 1 1 0 1 1 1 1 1 0 1 1 1 +0 0 0 0 1 0 0 0 0 0 0 0 1 +1 1 1 0 1 0 0 1 0 0 1 0 0 +0 0 0 1 0 0 1 1 0 0 0 1 0 +0 0 0 1 1 0 0 0 1 0 0 1 0 +1 1 1 0 1 0 0 0 0 1 1 1 1 +0 1 0 0 1 1 1 0 0 1 0 1 1 +1 0 0 1 0 1 0 1 0 1 1 0 1 +1 1 1 1 0 0 1 0 0 1 0 0 0 +1 0 0 0 1 1 0 0 1 0 0 0 1 +1 0 0 0 0 0 1 0 0 1 0 1 1 +1 1 1 0 0 0 0 0 1 1 0 0 0 +0 1 0 0 1 1 0 1 0 1 1 0 1 +1 1 0 1 1 1 1 1 0 0 1 1 0 +0 1 1 1 0 1 0 1 0 0 1 0 1 +0 1 1 0 0 1 1 0 1 1 1 1 1 +0 1 1 1 1 1 1 1 1 1 1 0 1 +1 1 1 1 1 0 1 1 1 1 0 0 0 +0 1 1 1 0 0 1 1 0 0 1 1 1 +1 0 1 0 1 1 0 1 0 1 0 1 1 +1 1 1 0 1 0 1 0 0 0 1 0 0 +1 0 1 1 0 0 1 0 0 0 1 1 1 +0 0 0 0 1 1 0 0 0 1 0 0 1 +0 0 0 1 1 1 0 0 1 0 0 1 0 +1 0 1 0 1 0 1 1 0 0 1 1 1 +0 0 1 0 0 0 1 0 0 1 1 0 1 +1 1 0 1 1 0 0 1 0 1 1 0 0 +1 1 0 1 1 1 1 0 0 1 1 1 1 +0 1 1 0 0 0 0 1 0 0 1 0 0 +0 0 1 1 1 0 0 1 1 1 0 0 1 +1 0 0 0 0 0 0 0 1 0 1 0 1 +1 1 0 1 0 1 1 1 1 1 1 0 0 +1 0 0 0 0 0 0 0 1 1 0 1 1 +0 0 1 1 1 0 0 1 1 1 0 0 0 +0 0 1 0 1 1 1 0 1 0 1 1 0 +0 1 0 1 0 0 1 0 1 1 1 1 1 +0 0 1 1 1 0 1 0 0 0 1 1 0 +1 0 0 1 1 1 0 0 0 1 1 1 1 +0 1 0 0 0 1 1 1 0 0 0 0 0 +0 0 0 1 0 0 0 1 0 0 1 0 0 +0 0 1 0 0 1 1 0 1 1 1 1 0 +1 0 0 0 0 0 0 0 0 1 0 0 0 +0 1 1 1 0 1 0 0 0 0 1 0 0 +1 1 0 1 0 0 1 0 1 1 0 1 1 +1 1 0 1 1 0 0 0 0 1 0 1 0 +1 0 1 0 0 0 1 0 1 0 0 0 0 +0 1 0 0 0 1 1 1 1 1 0 1 1 +0 0 0 0 1 0 1 1 0 0 0 1 0 +0 1 1 0 0 0 1 0 1 1 0 1 0 +1 1 1 0 0 1 0 0 0 1 1 1 1 +1 1 0 0 1 0 0 1 1 0 1 1 0 +1 0 1 0 0 1 1 1 0 1 0 0 1 +0 1 1 0 0 0 1 1 0 1 1 1 1 +0 0 1 1 0 1 1 0 1 1 0 1 0 +1 1 1 1 1 1 1 1 0 1 1 0 1 +1 1 1 0 0 0 0 0 1 1 0 0 0 +0 0 0 0 1 1 1 1 0 1 1 0 0 +1 1 0 0 1 0 0 1 1 0 0 1 0 +1 1 0 1 0 0 0 0 0 0 1 1 1 +1 0 1 0 0 0 1 1 1 1 1 0 1 +1 0 0 0 1 0 1 1 1 0 0 0 1 +0 0 1 1 0 1 1 0 1 0 1 0 0 +0 1 0 1 1 1 1 0 1 0 1 0 0 +0 0 0 0 1 0 1 1 0 0 1 1 0 +1 0 0 0 1 0 1 1 0 1 1 0 0 +1 1 0 0 0 0 0 0 0 0 0 1 1 +1 1 0 1 0 0 0 1 1 1 0 1 0 +0 1 1 1 0 1 1 0 0 0 1 0 1 +1 1 1 1 1 1 1 1 0 0 1 0 0 +0 0 1 0 0 0 0 0 0 1 0 0 0 +1 0 1 0 0 0 0 0 0 1 1 0 1 +1 0 1 1 0 1 0 1 0 0 1 1 0 +1 0 1 0 1 0 1 1 1 1 0 0 0 +0 0 1 1 1 0 0 0 0 0 1 0 1 +1 0 1 1 0 1 1 0 0 1 0 1 1 +1 1 0 1 0 1 1 0 0 1 0 1 1 +1 1 1 0 1 1 0 1 0 0 1 1 1 +0 1 0 1 0 0 0 0 0 1 1 0 1 +0 1 1 0 1 1 1 1 1 1 1 0 1 +0 1 1 1 1 0 0 1 1 1 1 1 1 +0 1 0 0 1 0 1 0 0 1 1 0 0 +0 1 0 0 0 1 0 0 1 1 1 1 0 +0 0 1 1 0 1 1 1 0 1 1 1 0 +0 0 0 1 0 1 0 1 1 1 0 1 0 +0 1 0 1 0 1 1 0 0 0 0 0 1 +1 0 0 0 1 1 1 0 0 1 1 0 1 +1 1 0 1 1 1 0 0 1 0 1 0 1 +1 0 0 1 0 0 1 0 0 1 0 0 1 +0 1 0 1 0 1 1 1 0 1 1 0 0 +0 0 1 1 0 1 1 1 1 1 1 1 0 +1 1 0 1 0 1 0 1 0 1 1 1 0 +0 1 1 1 0 1 0 1 0 0 1 0 1 +0 0 1 0 0 1 1 1 0 1 0 0 1 +0 1 1 0 0 0 0 1 0 0 1 1 1 +0 0 0 1 0 1 0 0 0 0 0 0 1 +0 0 0 1 0 1 1 1 1 1 0 1 0 +0 1 0 0 1 0 0 1 1 1 0 1 1 +1 0 1 1 1 1 1 0 0 0 1 1 1 +0 0 0 1 1 0 0 1 0 1 0 1 0 +1 0 0 1 0 1 0 1 0 1 1 0 0 +0 1 1 1 0 0 1 1 0 1 1 1 0 +0 0 0 1 1 1 0 0 0 0 1 1 0 +1 1 1 0 1 0 0 0 1 0 1 0 0 +0 0 0 0 1 0 1 0 0 1 1 0 1 +1 0 0 0 0 0 1 1 1 0 1 1 0 +1 1 0 0 0 0 1 0 0 0 1 1 1 +1 1 0 0 1 1 1 0 0 0 1 0 1 +1 1 0 1 1 0 1 0 0 1 0 1 0 +0 0 0 1 0 1 1 0 1 0 1 0 1 +1 0 0 0 0 1 0 0 0 1 1 1 1 +1 0 0 0 0 0 1 1 0 1 0 1 0 +1 0 1 0 1 0 1 1 0 1 0 1 1 +0 0 1 0 0 1 0 1 1 0 1 0 0 +0 1 0 0 1 1 0 1 1 0 1 1 1 +0 1 0 1 0 1 0 1 1 0 0 1 1 +0 1 0 1 0 1 0 0 1 1 0 0 1 +1 1 0 0 0 1 1 0 0 1 0 0 0 +0 1 0 0 1 1 0 0 1 1 0 1 1 +1 0 0 0 1 1 1 0 1 0 1 1 0 +1 0 1 0 1 1 0 0 0 0 1 0 1 +1 0 0 0 0 0 0 1 0 1 0 1 1 +1 1 0 1 1 0 0 0 1 0 0 0 0 +1 1 1 1 1 0 1 1 1 0 0 1 1 +0 1 1 0 1 1 1 0 0 1 0 0 0 +1 0 0 1 0 1 1 1 0 0 0 0 1 +1 0 0 1 0 0 0 0 1 0 1 0 0 +1 0 1 1 1 1 0 0 1 0 1 0 1 +1 0 0 1 0 0 1 0 0 0 1 1 0 +1 1 0 0 0 1 0 1 0 1 0 1 0 +0 0 0 1 1 0 1 0 1 1 0 1 0 +0 1 1 1 0 1 0 0 1 1 0 0 1 +0 0 1 0 1 1 1 0 0 1 1 0 0 +0 1 0 1 0 1 0 1 0 1 0 0 1 +1 1 0 0 1 0 0 0 1 1 0 0 1 +0 0 1 1 1 1 1 0 0 0 0 0 0 +0 1 0 0 1 0 0 1 0 1 1 0 1 +0 1 1 0 1 1 0 0 0 0 0 0 1 +0 0 1 0 1 1 1 1 1 0 0 1 0 +1 0 0 0 0 1 1 1 0 0 1 0 1 +1 1 1 0 0 0 0 1 1 1 0 0 1 +0 0 0 1 1 1 0 0 1 1 1 1 1 +1 1 0 1 1 1 0 0 0 0 1 0 0 +0 1 0 1 1 1 1 1 1 1 0 0 1 +1 1 0 1 0 0 0 1 0 1 0 0 1 +1 0 1 0 1 1 1 0 0 0 0 0 0 +0 1 0 1 0 0 1 0 0 0 0 1 0 +0 0 0 1 1 1 1 0 0 0 0 1 0 +0 1 1 0 1 0 1 1 1 0 0 0 0 +1 1 1 1 0 0 1 0 0 1 0 1 0 +0 0 0 0 0 0 1 1 1 0 0 1 0 +0 0 1 1 0 1 0 1 1 0 1 0 1 +0 1 0 1 0 1 0 0 0 1 1 0 1 +1 0 1 1 0 0 0 1 0 0 1 1 1 +0 1 1 1 1 0 1 0 0 1 0 0 1 +1 0 1 1 1 1 0 0 0 0 0 0 1 +1 1 1 1 1 0 1 0 1 0 1 1 1 +0 0 1 0 0 0 1 1 1 0 1 1 0 +1 0 0 1 1 1 0 0 1 0 0 1 1 +1 0 1 1 0 0 0 1 1 0 0 1 1 +0 1 1 0 0 1 1 0 1 1 1 0 1 +0 0 1 0 1 0 1 1 1 0 0 0 0 +0 1 1 1 0 1 0 0 1 0 0 1 0 +1 0 1 1 0 1 1 0 0 0 1 1 1 +0 0 0 0 0 1 0 0 1 0 0 1 0 +1 0 1 1 1 1 0 1 1 0 0 0 0 +1 0 1 0 1 0 1 1 1 1 0 0 0 +1 1 1 0 1 1 0 1 0 0 1 1 1 +1 1 0 0 0 0 0 1 0 1 0 0 0 +0 0 1 1 1 0 0 1 0 0 0 1 0 +0 0 1 1 0 1 1 0 1 1 1 1 1 +0 0 1 0 0 1 1 0 1 0 0 0 1 +1 0 1 1 0 1 0 0 1 1 0 0 1 +0 0 1 1 1 1 1 0 1 0 0 1 0 +0 0 0 1 0 0 1 0 0 0 1 0 0 +1 1 0 1 0 1 0 1 0 0 1 1 0 +0 0 1 1 1 0 0 1 0 0 0 0 0 +0 0 0 0 1 1 1 1 1 0 0 0 0 +0 0 0 1 1 1 1 0 1 1 1 1 0 +0 0 0 0 1 0 0 0 0 1 1 1 0 +0 0 0 0 1 0 1 1 0 1 1 1 1 +1 0 1 0 0 0 1 0 1 1 0 0 0 +1 0 0 1 1 0 1 1 1 0 0 1 1 +1 1 1 1 0 0 1 1 1 0 1 1 0 +1 0 0 0 1 1 1 0 1 0 0 0 0 +0 0 0 0 1 0 0 1 1 1 0 0 1 +0 0 0 1 0 1 1 0 0 1 1 0 0 +1 1 0 0 1 0 1 0 0 0 1 1 0 +1 0 1 1 0 0 0 1 1 0 1 1 0 +1 1 1 0 1 1 1 1 0 0 1 0 0 +1 1 1 0 1 1 1 1 1 1 0 1 0 +1 1 0 1 1 0 0 1 1 1 1 1 1 +1 0 0 1 1 0 0 1 1 1 1 1 0 +1 1 1 0 0 0 0 1 1 1 1 1 1 +1 1 0 1 1 0 0 0 1 1 0 1 1 +1 1 0 1 0 0 1 1 1 0 0 1 1 +0 0 0 1 0 0 0 0 1 1 1 1 0 +0 1 1 1 0 1 0 0 1 0 0 1 1 +1 1 0 0 1 0 0 0 0 1 1 1 0 +1 1 0 0 0 1 0 0 1 1 0 1 1 +1 1 0 0 1 1 0 0 0 0 1 0 0 +0 0 1 1 1 1 1 1 0 1 0 1 1 +1 0 0 1 0 0 1 0 0 1 0 1 1 +0 1 0 0 1 1 1 1 1 0 0 0 1 +1 0 0 1 1 1 0 1 1 0 0 0 0 +1 1 1 1 1 0 1 1 1 1 1 1 0 +0 0 0 0 0 0 0 1 0 0 1 1 1 +1 1 0 1 0 1 0 0 1 1 0 1 0 +0 1 1 1 0 0 1 0 0 1 0 1 1 +1 0 1 0 0 1 1 1 1 0 0 0 0 +1 1 1 1 1 1 0 0 1 1 1 1 1 +1 0 1 1 0 1 0 0 1 0 0 0 0 +1 1 1 0 0 1 0 1 0 1 0 0 0 +0 0 1 1 0 0 0 1 0 0 0 0 0 +0 1 1 1 0 1 0 1 0 1 0 0 1 +1 0 0 0 0 1 1 1 1 1 1 0 1 +0 1 0 0 1 1 1 1 1 1 1 0 1 +1 1 1 0 1 0 1 0 1 1 1 1 0 +0 0 1 0 1 1 0 1 1 1 0 1 0 +0 1 1 1 0 0 1 0 0 0 0 1 1 +0 1 1 0 0 1 1 0 0 1 1 1 0 +0 1 1 0 1 1 0 1 0 1 0 1 1 +0 1 0 0 0 1 1 0 1 1 1 0 1 +1 1 1 1 1 0 1 0 0 1 1 0 0 +0 1 1 1 1 1 1 1 1 1 0 1 1 +0 0 0 0 0 1 0 1 1 1 1 0 0 +1 1 1 0 1 0 0 0 1 1 1 1 0 +1 0 1 1 0 1 1 0 1 0 0 0 1 +1 0 0 1 0 0 0 0 1 0 0 0 0 +1 0 1 0 1 1 0 0 1 1 1 0 0 +1 0 1 0 1 1 1 0 0 1 0 0 0 +0 1 0 0 1 1 1 1 1 0 0 1 1 +0 0 1 1 0 0 0 1 0 0 1 1 1 +0 0 1 1 0 1 1 0 0 1 1 0 0 +1 0 0 1 1 0 1 1 1 0 1 0 0 +1 0 1 0 0 1 1 0 1 0 0 0 1 +1 0 1 1 0 0 1 1 0 0 0 0 0 +0 0 1 1 1 1 1 1 0 1 0 0 0 +0 0 0 0 1 1 0 1 0 0 1 1 0 +1 0 0 1 1 0 1 0 1 1 1 1 1 +0 0 1 1 1 0 1 1 1 0 1 0 0 +0 1 0 1 1 0 0 1 0 0 0 1 1 +1 1 0 1 1 0 1 0 1 1 1 0 0 +1 0 0 1 1 0 1 0 0 1 1 1 1 +0 0 0 0 1 0 1 0 1 1 1 1 0 +1 0 0 0 0 0 1 0 1 0 0 1 0 +1 0 0 1 1 1 1 0 1 1 0 0 1 +1 0 0 1 1 1 1 1 1 0 1 0 1 +0 1 1 1 1 1 1 0 1 0 1 1 0 +0 1 1 0 0 1 1 1 1 0 1 0 1 +1 1 1 1 1 1 0 0 1 0 1 1 0 +1 0 0 1 1 0 1 0 1 0 0 0 1 +1 1 1 0 1 1 0 1 0 1 0 1 1 +0 1 1 0 0 1 0 1 0 1 1 1 1 +1 1 1 1 0 1 0 0 1 0 1 1 1 +1 0 0 1 1 1 0 1 0 0 1 1 0 +0 1 1 1 0 1 1 1 1 0 1 0 1 +1 1 0 0 0 0 1 1 0 0 0 1 0 +0 1 1 0 0 1 0 0 0 1 0 1 1 +0 1 1 0 1 0 1 0 1 1 0 0 0 +0 0 1 1 1 0 1 0 0 0 0 0 0 +1 0 0 0 1 1 0 0 0 1 0 0 1 +1 0 1 0 0 0 1 1 1 1 1 1 1 +1 1 0 1 0 0 1 1 0 1 0 0 0 +0 1 1 1 1 1 0 1 0 0 1 1 1 +1 1 1 1 1 1 1 1 0 1 0 1 0 +0 0 0 0 0 0 1 0 0 0 1 0 1 +0 0 0 1 0 1 0 1 0 0 1 0 0 +1 1 0 0 0 1 0 1 1 0 1 0 0 +0 1 1 0 1 1 0 0 0 0 0 1 1 +1 1 0 1 1 0 0 0 0 1 1 0 0 +0 0 0 0 1 0 1 1 1 0 1 1 0 +0 0 0 1 0 0 1 1 0 0 1 0 0 +1 1 1 1 1 0 1 0 0 1 0 0 1 +1 0 0 0 1 0 0 0 0 1 1 0 0 +1 0 0 0 0 1 0 0 1 0 0 0 1 +0 1 1 0 1 0 0 0 1 0 1 0 0 +1 0 0 0 1 1 1 0 0 0 0 0 1 +1 1 0 1 1 1 0 1 0 1 0 1 1 +0 0 0 0 0 0 1 0 1 0 0 0 1 +1 0 0 1 1 1 1 1 0 0 0 0 1 +0 0 0 0 1 0 1 1 1 0 0 1 0 +1 0 1 1 0 0 0 1 1 1 0 0 0 +0 1 0 1 1 0 1 0 0 1 1 1 0 +0 1 1 1 1 1 1 0 1 1 0 0 0 +0 1 1 1 0 1 0 0 1 1 1 0 0 +1 0 0 0 1 0 0 0 1 1 0 0 0 +0 1 0 1 0 1 1 1 0 1 0 0 0 +0 1 0 1 0 0 1 1 1 0 0 0 1 +1 0 0 1 1 1 0 0 1 1 1 0 1 +1 0 1 1 0 1 1 1 1 0 0 1 1 +0 1 1 1 1 0 1 0 0 0 1 0 0 +0 0 1 0 0 1 1 0 0 1 1 1 0 +1 1 1 1 0 1 0 1 1 0 1 0 0 +1 0 1 0 1 0 1 1 0 0 0 0 0 +0 0 1 0 0 1 1 0 1 1 1 1 0 +1 1 1 0 1 0 1 0 0 1 0 0 0 +0 0 0 1 0 1 0 1 0 0 1 1 0 +0 0 0 1 0 0 1 0 0 0 0 1 1 +1 1 1 0 1 0 1 1 1 1 1 1 1 +1 1 1 1 1 1 1 0 0 1 1 1 0 +0 0 1 0 1 1 1 0 0 0 1 0 0 +0 1 0 0 1 0 1 0 0 0 1 1 0 +1 0 1 1 1 1 0 0 0 1 0 0 1 +1 1 0 1 0 0 1 1 0 1 0 0 0 +0 1 1 0 0 1 1 1 0 0 0 0 1 +0 0 0 1 1 1 0 0 1 1 0 1 0 +1 1 1 1 1 1 1 1 0 0 1 0 1 +0 0 0 1 1 1 1 1 0 0 1 1 1 +0 1 0 1 1 1 1 1 0 0 1 1 1 +1 1 0 0 0 0 0 1 0 0 1 0 1 +1 1 1 1 1 0 1 0 0 0 0 0 1 +1 0 1 0 0 0 1 0 1 0 0 1 0 +0 1 0 1 1 1 0 0 0 0 1 0 1 +0 0 1 0 0 0 0 0 1 0 0 1 0 +0 1 0 0 1 1 0 0 1 1 0 1 1 +0 1 0 0 0 1 1 1 0 0 1 1 1 +1 1 0 1 0 0 0 1 1 1 1 1 1 +1 0 1 0 1 0 0 1 1 1 0 0 1 +0 0 1 1 1 1 1 1 0 0 1 0 0 +1 0 1 1 1 0 0 1 1 1 0 1 0 +1 0 1 1 0 0 1 0 1 0 0 0 1 +0 1 1 1 0 1 1 1 1 0 0 1 1 +0 0 0 0 0 0 0 1 0 1 0 0 1 +1 0 0 0 1 0 1 0 1 0 0 1 1 +0 0 0 0 0 1 1 1 0 0 1 0 0 +0 1 1 0 1 0 1 1 1 0 1 1 1 +1 0 1 1 1 0 0 1 0 1 1 0 0 +1 0 0 0 1 0 1 1 1 0 0 1 0 +0 0 0 0 0 0 1 1 0 0 0 1 0 +0 1 0 0 0 0 1 1 1 0 1 1 0 +0 1 1 1 1 1 1 0 1 0 0 0 0 +1 1 0 1 1 1 1 1 0 1 1 1 1 +1 0 1 1 1 1 1 1 1 0 1 1 0 +0 1 1 1 0 0 0 0 1 0 1 1 1 +1 1 0 1 0 0 0 0 0 1 1 1 1 +0 0 1 0 0 0 0 1 0 1 1 1 0 +0 0 1 0 1 0 1 1 0 0 1 1 1 +1 1 0 1 0 1 1 1 0 1 0 0 0 +1 0 1 0 1 0 0 1 0 0 1 1 1 +0 1 1 0 1 0 0 1 1 1 0 0 1 +0 1 1 0 0 1 1 1 0 0 0 0 1 +1 1 1 1 1 0 0 1 1 1 0 1 1 +1 1 1 1 0 0 0 1 1 1 0 0 0 +1 1 0 0 1 1 1 0 0 0 0 0 0 +1 0 0 1 1 1 1 0 1 0 0 0 0 +1 0 1 0 1 1 0 1 0 0 0 1 0 +1 1 0 0 0 0 0 0 0 1 1 1 0 +0 1 1 1 1 1 0 1 1 0 0 1 0 +1 1 1 0 1 1 1 1 0 1 0 0 1 +0 0 1 1 0 1 1 0 0 1 0 0 0 +0 1 1 0 0 1 0 0 1 0 1 1 1 +0 1 1 1 1 1 1 1 0 1 1 0 1 +1 1 0 1 1 0 1 0 1 1 1 1 0 +1 0 1 0 0 1 0 0 0 0 1 1 1 +1 1 0 1 0 1 0 0 0 1 1 1 0 +1 0 1 1 0 0 1 1 0 1 1 1 0 +0 1 0 1 0 1 1 1 0 1 1 0 0 +0 0 0 1 0 1 0 0 0 1 1 0 1 +1 1 0 0 0 0 0 1 0 0 1 0 1 +0 0 1 0 1 1 1 0 0 0 0 1 0 +0 1 1 0 1 0 0 1 0 0 1 0 0 +0 0 1 0 0 1 0 0 0 0 0 1 0 +1 0 1 0 0 0 1 0 0 0 1 0 1 +1 1 1 1 1 0 0 0 0 0 1 0 1 +0 0 1 0 0 1 0 1 1 0 1 1 1 +1 0 0 0 1 1 1 0 1 0 0 1 1 +0 1 1 0 0 1 0 1 1 0 1 1 1 +1 0 0 0 0 1 0 1 1 1 0 0 1 +1 0 1 1 1 0 1 1 0 0 1 0 1 +0 1 0 1 0 0 1 1 1 1 1 1 1 +0 1 0 0 1 1 1 0 0 0 0 0 1 +0 1 1 0 0 1 1 0 1 0 0 0 1 +1 0 0 0 0 1 0 1 0 1 0 1 1 +1 0 0 1 1 1 0 0 1 0 0 1 1 +1 1 1 0 1 1 1 0 1 0 1 1 0 +1 0 1 1 0 0 0 1 1 0 0 0 1 +0 0 0 1 0 0 0 1 0 1 0 0 1 +1 0 0 1 1 0 0 0 0 1 0 0 1 +1 0 1 0 0 1 1 1 0 0 0 0 1 +1 0 0 0 1 1 1 0 1 0 0 0 0 +1 1 1 1 1 1 1 0 1 1 0 1 0 +1 0 0 0 1 0 0 1 1 1 1 0 0 +0 1 1 0 0 0 0 1 1 0 1 0 0 +1 1 1 1 1 1 0 1 0 1 1 1 1 +1 1 0 0 0 1 1 1 1 1 1 1 1 +0 1 1 0 1 0 1 0 1 0 0 0 0 +0 1 1 1 1 1 0 1 1 1 1 0 0 +1 1 0 0 0 0 0 0 0 0 0 0 0 +1 0 1 1 1 1 1 0 0 1 1 1 1 +0 1 1 1 0 1 1 1 0 0 1 1 0 +1 1 1 0 1 0 1 0 0 1 1 0 1 +1 1 1 0 0 1 0 1 0 1 0 1 0 +1 0 0 0 1 0 1 0 1 0 1 0 1 +1 0 1 0 1 1 0 1 0 0 1 0 1 +0 1 1 0 0 0 0 0 0 0 0 1 1 +0 0 1 1 0 0 0 0 1 0 1 1 1 +1 1 0 1 1 1 0 0 1 1 1 1 0 +1 0 1 0 0 1 1 1 0 0 1 1 1 +0 1 1 1 1 0 0 0 0 0 0 0 1 +0 0 0 0 0 1 0 0 0 1 0 1 1 +0 0 0 0 0 0 1 1 0 1 1 0 0 +1 0 0 0 0 0 0 1 0 1 0 1 1 +1 1 1 1 1 1 1 0 1 0 1 0 1 +1 1 1 0 0 1 0 1 1 1 0 0 1 +0 1 0 0 1 0 0 1 0 0 0 1 1 +1 0 0 1 1 0 0 1 0 1 1 0 0 +0 0 0 0 1 0 0 1 0 1 1 0 1 +0 0 0 1 0 0 1 0 0 0 1 0 0 +0 1 1 0 1 0 1 0 1 1 1 1 1 +1 0 0 0 1 1 1 0 1 1 0 1 1 +1 1 1 0 1 0 1 0 1 1 1 0 1 +0 1 1 1 1 0 1 1 0 1 0 1 1 +1 0 1 0 1 1 1 0 0 1 0 0 1 +0 1 0 0 1 0 1 0 1 0 1 1 1 +1 0 1 1 1 0 1 0 1 0 1 1 1 +0 0 0 1 0 1 0 0 1 1 1 1 0 +0 1 1 1 1 0 1 1 0 1 1 0 0 +1 1 1 1 1 0 0 0 1 1 1 1 0 +0 1 1 0 0 1 1 0 1 1 0 1 0 +1 0 0 0 0 0 0 0 0 1 1 0 0 +1 0 1 1 1 0 1 1 1 0 1 1 1 +0 0 0 0 1 0 0 0 0 0 0 1 0 +0 0 1 0 1 1 0 1 1 0 1 0 0 +0 1 0 0 1 1 0 0 0 1 1 0 1 +0 1 1 0 1 1 0 0 1 1 1 1 0 +1 1 0 1 1 0 1 0 1 0 0 1 0 +1 1 1 0 0 0 0 0 0 0 0 0 0 +0 0 0 0 0 1 1 1 0 0 1 0 0 +1 1 0 1 0 1 1 0 1 1 0 1 0 +0 0 0 0 1 1 0 0 0 0 0 0 0 +0 1 0 1 0 1 1 0 1 0 1 1 0 +1 0 0 0 1 1 0 1 1 1 1 0 1 +0 1 1 1 0 0 1 0 1 0 1 0 1 +0 1 1 0 0 1 1 0 1 1 1 0 0 +0 0 0 0 0 1 0 1 0 1 1 0 1 +1 1 1 0 1 0 1 0 1 0 0 0 0 +0 0 0 0 1 1 0 0 0 0 1 0 0 +0 1 1 1 0 0 0 1 1 0 1 0 1 +0 0 0 1 1 0 1 1 1 1 0 0 0 +1 0 1 1 0 0 0 0 0 1 0 0 0 +0 1 0 1 1 1 1 1 1 1 1 1 0 +1 1 1 1 1 0 0 1 0 0 0 0 0 +1 0 1 0 1 1 1 1 0 1 0 0 0 +1 1 0 0 1 1 0 0 0 0 1 0 0 +1 0 1 0 1 0 1 1 0 1 0 0 0 +1 1 0 0 0 1 0 0 1 0 0 0 0 +0 0 1 1 0 1 0 0 1 1 1 0 1 +0 1 1 0 0 0 1 0 0 0 1 0 1 +1 1 0 0 1 1 0 0 0 1 0 0 1 +0 1 1 1 1 1 1 0 0 1 1 0 1 +0 0 0 0 1 1 1 0 0 1 0 0 0 +1 0 0 1 0 0 1 0 1 1 0 1 1 +0 1 1 0 0 1 1 0 1 1 0 1 0 +1 1 1 1 0 1 0 1 1 0 1 0 1 +0 0 0 0 1 1 0 0 0 1 1 0 1 +0 1 0 0 1 1 0 0 1 0 0 1 1 +1 1 0 0 1 0 0 0 0 0 1 1 1 +1 1 1 0 0 0 0 1 1 0 0 0 0 +0 0 1 0 1 1 1 1 0 0 1 0 1 +0 0 1 1 0 0 1 1 0 0 1 0 1 +0 1 1 0 1 1 1 0 0 0 1 1 1 +0 1 1 0 0 1 1 0 1 1 0 0 0 +0 0 1 0 1 1 1 1 0 1 1 0 0 +1 0 1 1 1 1 1 1 0 0 0 0 1 +1 0 0 0 0 1 1 0 0 1 0 1 0 +1 0 1 0 1 1 1 0 1 0 1 0 0 +0 0 0 0 0 0 0 0 0 0 0 0 1 +0 0 0 0 0 0 1 1 0 1 1 0 0 +1 1 0 1 0 1 0 1 1 0 1 0 0 +0 0 1 0 0 0 0 1 1 1 1 1 0 +0 0 0 1 0 0 0 0 0 0 1 0 0 +1 1 1 1 1 1 1 0 0 1 1 0 1 +0 0 0 0 0 0 1 1 1 0 1 0 0 +0 1 0 0 0 1 0 1 0 1 1 0 1 +1 0 0 0 0 1 0 0 1 1 0 1 1 +0 1 1 1 0 1 0 0 0 1 1 1 1 +0 0 0 0 0 1 1 0 0 1 1 0 1 +0 0 0 1 1 1 0 1 0 1 0 1 1 +0 0 0 0 1 0 0 0 1 1 1 1 0 +0 0 1 1 0 0 1 0 1 0 0 0 0 +0 1 0 1 1 0 0 0 0 1 0 0 1 +1 1 1 1 1 1 0 1 0 0 0 1 1 +1 0 0 0 1 0 1 0 0 0 0 0 0 +1 1 0 1 0 0 0 0 0 1 1 1 0 +1 1 1 0 0 1 0 0 0 1 1 0 0 +0 0 0 0 0 0 0 0 0 0 0 0 0 +0 1 0 0 1 0 0 0 1 0 0 1 0 +0 1 0 0 1 0 0 1 0 0 1 0 1 +0 0 1 0 1 1 1 1 0 1 1 0 0 +1 0 0 1 0 1 1 0 0 0 1 1 1 +0 0 0 0 1 1 0 1 0 1 0 1 1 +0 1 0 1 0 1 0 1 0 0 1 0 0 +0 1 1 1 1 1 1 0 1 1 0 1 1 +0 1 0 1 1 1 0 1 0 1 0 0 0 +0 1 0 0 1 1 1 0 1 0 1 0 1 +0 1 0 1 1 0 1 1 0 1 1 1 1 +0 0 1 0 0 0 0 0 0 1 1 1 0 +1 0 0 0 1 1 0 0 1 1 0 0 0 +1 1 0 0 1 1 1 1 1 0 1 1 1 +0 0 1 0 1 0 0 1 1 1 1 0 1 +0 0 0 1 0 1 0 1 0 1 1 1 0 +1 0 1 0 1 0 1 1 0 1 0 1 1 +1 1 0 0 0 1 0 1 1 1 0 0 0 +0 1 1 1 1 1 0 1 0 0 0 1 1 +1 1 0 0 0 0 0 0 0 0 0 1 0 +1 1 0 1 0 0 1 1 0 0 1 1 0 +0 0 1 0 1 0 1 1 0 0 1 1 0 +1 1 0 0 0 0 1 1 0 0 0 0 0 +0 0 0 1 0 1 1 1 1 0 1 0 1 +0 0 0 0 0 1 1 1 0 0 0 0 0 +0 1 1 1 1 1 0 1 0 1 0 0 1 +1 1 1 1 0 1 1 0 1 1 0 0 0 +0 0 0 0 1 1 1 1 0 0 1 1 1 +0 0 0 1 0 0 1 1 1 0 0 0 0 +1 0 0 1 1 1 0 1 1 0 1 1 1 +1 0 0 0 0 0 0 1 1 1 0 1 0 +1 1 1 0 1 0 0 1 0 0 1 0 1 +1 0 0 0 1 1 0 0 1 1 0 1 0 +1 1 1 1 1 1 0 0 0 0 1 1 1 +1 0 0 0 0 0 0 1 1 0 0 0 0 +1 1 0 0 1 0 1 0 0 0 0 1 0 +0 1 1 1 0 0 1 0 1 0 1 0 0 +1 1 0 0 1 0 0 1 0 0 0 0 1 +0 0 1 1 0 1 0 1 0 1 0 1 1 +1 1 1 0 1 0 1 0 0 0 1 0 1 +0 0 1 0 0 1 0 0 1 1 0 0 0 +1 1 0 1 0 1 1 0 1 0 1 1 0 +0 1 1 1 1 1 0 0 1 1 0 1 0 +0 0 1 1 0 1 0 0 1 1 1 0 1 +0 0 1 1 0 0 1 1 1 1 0 1 1 +1 0 1 0 1 1 1 0 1 1 1 0 1 +1 0 1 0 1 0 0 0 1 1 0 1 1 +1 1 0 1 1 1 1 1 1 0 1 0 1 +0 1 1 0 0 1 1 0 0 0 1 1 1 +1 1 1 0 1 0 1 0 0 1 1 0 0 +0 0 0 1 0 0 0 0 1 1 0 0 0 +1 0 1 0 0 1 1 1 0 0 0 0 1 +1 0 0 0 1 0 0 1 0 0 1 0 0 +1 0 0 1 1 0 1 0 0 1 1 1 0 +1 1 1 0 0 1 0 0 0 1 1 1 0 +0 1 1 0 1 1 1 0 0 1 0 1 1 +0 0 1 0 1 1 0 1 0 0 1 0 1 +0 1 0 1 0 1 1 1 1 1 0 0 1 +0 1 0 0 1 0 1 0 0 0 0 1 0 +0 0 1 0 0 0 0 0 0 1 1 0 0 +1 1 1 0 0 0 0 1 1 1 1 0 1 +1 0 0 0 0 0 0 1 0 1 0 0 0 +0 1 0 0 0 0 0 0 0 0 1 1 1 +1 1 0 1 0 1 0 1 0 0 1 1 0 +0 0 0 0 0 0 0 1 0 0 0 0 0 +1 1 1 1 1 1 1 1 1 0 1 1 1 +1 0 1 0 1 1 1 1 0 1 1 0 1 +1 0 1 0 1 1 1 0 0 1 1 1 0 +1 1 0 0 0 1 0 0 0 0 1 0 0 +0 1 1 1 0 0 1 0 1 1 0 1 1 +0 1 1 0 1 1 1 0 1 1 1 0 1 +1 1 1 1 0 0 0 1 0 1 0 1 0 +1 0 1 0 1 1 1 0 0 0 1 0 1 +1 1 0 1 0 1 1 1 0 1 0 0 1 +1 1 0 0 1 1 0 1 1 0 1 1 1 +1 0 0 1 1 1 1 1 1 1 0 1 0 +1 0 1 1 1 1 0 0 0 0 1 0 1 +1 0 0 0 0 1 1 1 0 0 1 0 1 +1 0 1 0 1 1 0 1 0 1 1 0 1 +0 1 0 1 0 0 1 1 1 0 1 1 1 +1 1 1 1 0 1 0 1 0 1 1 1 0 +0 0 0 0 0 0 0 0 1 0 1 0 1 +0 0 1 0 1 0 1 0 1 0 0 0 1 +1 0 1 0 0 0 1 0 1 1 1 1 1 +1 0 0 1 0 1 1 0 1 0 1 1 0 +0 0 1 0 0 1 0 1 1 0 0 1 0 +1 0 1 1 1 0 0 1 1 0 0 1 0 +0 0 1 0 1 0 0 1 0 0 1 1 1 +0 1 1 1 1 0 0 1 1 1 1 1 0 +0 1 0 0 1 1 1 1 0 1 0 0 0 +0 1 0 1 0 1 0 0 0 1 1 0 0 +0 0 0 0 0 0 0 0 1 1 1 0 0 +0 1 0 1 0 1 0 1 1 1 1 0 0 +1 0 1 0 1 1 1 1 1 1 0 0 1 +0 0 0 0 1 0 1 1 1 0 1 1 1 +1 0 0 0 1 1 1 1 0 0 0 1 0 +1 0 0 1 1 0 0 1 0 1 1 1 1 +1 0 1 1 0 1 0 0 1 0 0 1 1 +0 0 1 1 1 1 0 1 1 0 1 0 1 +1 1 0 0 0 1 0 1 1 0 0 1 0 +1 0 0 1 0 0 1 0 1 1 0 0 1 +1 0 0 0 0 1 1 0 0 0 1 0 1 +1 0 0 1 0 0 1 1 0 1 0 1 0 +0 0 0 1 0 0 0 0 1 1 0 1 1 +0 1 1 1 0 0 1 1 1 0 0 0 0 +0 1 1 0 0 0 0 0 1 1 0 1 0 +0 1 0 0 1 1 0 1 1 0 1 1 1 +0 1 0 0 1 1 0 0 0 0 0 0 1 +1 1 1 0 1 1 0 1 1 0 1 0 0 +0 0 1 0 1 1 1 1 0 0 0 0 1 +1 1 1 0 1 1 0 0 1 0 0 1 1 +1 1 1 0 1 1 0 0 1 0 0 0 1 +1 1 0 0 1 0 0 1 0 0 0 0 0 +1 1 0 0 0 0 1 0 1 0 0 1 0 +1 1 0 0 1 0 1 0 0 1 1 1 0 +0 0 0 1 1 1 0 1 1 0 0 0 1 +0 0 1 0 0 1 1 1 0 0 0 0 1 +1 0 0 0 1 1 1 1 1 0 0 0 1 +1 1 0 1 1 0 1 1 1 1 0 1 1 +1 0 0 1 0 1 0 1 1 0 1 0 1 +0 0 1 0 1 1 1 1 0 0 1 0 1 +0 1 0 1 0 1 0 1 1 0 1 1 1 +1 1 1 1 0 0 0 0 0 0 0 1 0 +0 1 0 0 1 1 0 1 1 0 1 1 0 +1 0 1 0 1 1 0 0 0 0 1 0 1 +1 0 0 1 0 1 1 1 0 1 0 1 1 +0 1 1 1 1 0 0 0 0 0 0 1 1 +1 1 1 1 0 1 0 0 0 0 1 1 0 +1 1 0 1 1 0 1 1 1 1 1 1 1 +0 1 0 1 1 0 1 0 0 1 1 1 0 +1 1 0 1 1 1 1 1 0 1 0 1 0 +1 0 1 0 1 1 0 0 1 0 1 0 1 +1 1 1 0 0 0 0 0 0 0 1 0 0 +0 1 1 0 1 0 0 1 0 0 0 0 0 +0 1 1 1 0 0 0 0 0 1 0 0 1 +0 1 0 0 0 1 1 0 0 0 0 1 1 +1 1 0 0 1 1 0 0 0 0 0 0 0 \ No newline at end of file From 9a241fa9661bd12f247cbe42b318ad5607fb6563 Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Fri, 27 Jan 2023 15:07:26 +0000 Subject: [PATCH 010/128] refactor dropout; noisy xor test wip --- neurallogic/hard_dropout.py | 87 +++++++++++++++++++++++++++++ tests/test_noisy_xor.py | 107 +++++++----------------------------- 2 files changed, 108 insertions(+), 86 deletions(-) create mode 100644 neurallogic/hard_dropout.py diff --git a/neurallogic/hard_dropout.py b/neurallogic/hard_dropout.py new file mode 100644 index 0000000..e3dec20 --- /dev/null +++ b/neurallogic/hard_dropout.py @@ -0,0 +1,87 @@ +from typing import Optional, Sequence + +import jax +from flax import linen as nn +from jax import lax, random + +from neurallogic import neural_logic_net + + +class SoftHardDropout(nn.Module): + """Create a dropout layer suitable for dropping soft-bit values. + Adapted from flax/stochastic.py + + + Note: When using :meth:`Module.apply() `, make sure + to include an RNG seed named `'dropout'`. For example:: + + model.apply({'params': params}, inputs=inputs, train=True, rngs={'dropout': dropout_rng})` + + Attributes: + rate: the dropout probability. (_not_ the keep rate!) + broadcast_dims: dimensions that will share the same dropout mask + deterministic: if false the inputs are scaled by `1 / (1 - rate)` and + masked, whereas if true, no mask is applied and the inputs are returned + as is. + rng_collection: the rng collection name to use when requesting an rng key. + """ + + rate: float + broadcast_dims: Sequence[int] = () + deterministic: Optional[bool] = None + rng_collection: str = "dropout" + dropout_value: float = 0.0 + + @nn.compact + def __call__(self, inputs, deterministic: Optional[bool] = None): + """Applies a random dropout mask to the input. + + Args: + inputs: the inputs that should be randomly masked. + Masking means setting the input bits to 0.5. + deterministic: if false the inputs are masked, + whereas if true, no mask is applied and the inputs are returned + as is. + + Returns: + The masked inputs + """ + deterministic = nn.merge_param( + "deterministic", self.deterministic, deterministic + ) + + if (self.rate == 0.0) or deterministic: + return inputs + + # Prevent gradient NaNs in 1.0 edge-case. + if self.rate == 1.0: + return jax.numpy.zeros_like(inputs) + + keep_prob = 1.0 - self.rate + rng = self.make_rng(self.rng_collection) + broadcast_shape = list(inputs.shape) + for dim in self.broadcast_dims: + broadcast_shape[dim] = 1 + mask = random.bernoulli(rng, p=keep_prob, shape=broadcast_shape) + mask = jax.numpy.broadcast_to(mask, inputs.shape) + masked_values = jax.numpy.full_like(inputs, self.dropout_value, dtype=float) + return lax.select(mask, inputs, masked_values) + + +class HardHardDropout(nn.Module): + @nn.compact + def __call__(self, inputs, deterministic: Optional[bool] = None): + return inputs + + +class SymbolicHardDropout(nn.Module): + @nn.compact + def __call__(self, inputs, deterministic: Optional[bool] = None): + return inputs + + +hard_dropout = neural_logic_net.select( + lambda **kwargs: SoftHardDropout(**kwargs), + lambda **kwargs: HardHardDropout(**kwargs), + lambda **kwargs: SymbolicHardDropout(**kwargs), +) diff --git a/tests/test_noisy_xor.py b/tests/test_noisy_xor.py index d44337a..289302d 100644 --- a/tests/test_noisy_xor.py +++ b/tests/test_noisy_xor.py @@ -1,14 +1,10 @@ from pathlib import Path -from typing import Optional, Sequence import jax -import jax.numpy as jnp import ml_collections import numpy import optax -from flax import linen as nn from flax.training import train_state -from jax import lax, random from tqdm import tqdm from neurallogic import ( @@ -17,6 +13,7 @@ hard_not, hard_or, hard_xor, + hard_dropout, harden, harden_layer, neural_logic_net, @@ -60,71 +57,6 @@ def check_symbolic(nets, data, trained_state): print("symbolic_output", symbolic_output[0][:10000]) -class BinaryDropout(nn.Module): - """Create a dropout layer. - - Note: When using :meth:`Module.apply() `, make sure - to include an RNG seed named `'dropout'`. For example:: - - model.apply({'params': params}, inputs=inputs, train=True, rngs={'dropout': dropout_rng})` - - Attributes: - rate: the dropout probability. (_not_ the keep rate!) - broadcast_dims: dimensions that will share the same dropout mask - deterministic: if false the inputs are scaled by `1 / (1 - rate)` and - masked, whereas if true, no mask is applied and the inputs are returned - as is. - rng_collection: the rng collection name to use when requesting an rng key. - """ - - rate: float - broadcast_dims: Sequence[int] = () - deterministic: Optional[bool] = None - rng_collection: str = "dropout" - - @nn.compact - def __call__(self, inputs, deterministic: Optional[bool] = None): - """Applies a random dropout mask to the input. - - Args: - inputs: the inputs that should be randomly masked. - Masking means setting the input bits to 0.5. - deterministic: if false the inputs are masked, - whereas if true, no mask is applied and the inputs are returned - as is. - - Returns: - The masked inputs - """ - deterministic = nn.merge_param( - "deterministic", self.deterministic, deterministic - ) - - if (self.rate == 0.0) or deterministic: - return inputs - - # Prevent gradient NaNs in 1.0 edge-case. - if self.rate == 1.0: - return jnp.zeros_like(inputs) - - keep_prob = 1.0 - self.rate - rng = self.make_rng(self.rng_collection) - broadcast_shape = list(inputs.shape) - for dim in self.broadcast_dims: - broadcast_shape[dim] = 1 - mask = random.bernoulli(rng, p=keep_prob, shape=broadcast_shape) - mask = jnp.broadcast_to(mask, inputs.shape) - # masked_values = jnp.ones_like(inputs, dtype=float) / 2.0 - masked_values = jnp.zeros_like(inputs, dtype=float) - # masked_values = jnp.ones_like(inputs, dtype=float) - # print(f"mask {mask.shape} {mask.dtype} {mask}") - # print( - # f"masked_values {masked_values.shape} {masked_values.dtype} {masked_values}" - # ) - # print(f"inputs {inputs.shape} {inputs.dtype} {inputs}") - return lax.select(mask, inputs, masked_values) - - num_features = 12 num_classes = 2 @@ -144,7 +76,7 @@ def get_data(): # 100% test accuracy -def nln_100(type, x): +def nln(type, x, training: bool): x = hard_and.and_layer(type)(20)(x) x = hard_not.not_layer(type)(4)(x) x = x.ravel() @@ -155,12 +87,15 @@ def nln_100(type, x): return x -# 100% test accuracy -def nln(type, x, training: bool): - x = hard_xor.xor_layer(type)(40)(x) - # x = hard_not.not_layer(type)(1)(x) - x = BinaryDropout(rate=0.5, deterministic=not training)(x) - # x = x.ravel() +def nln_experimental(type, x, training: bool): + not_x = jax.numpy.logical_not(x) + input = jax.numpy.concatenate([x, not_x], axis=0) + x = hard_xor.xor_layer(type)(100)(input) + # x = hard_not.not_layer(type)(4)(x) + x = x.ravel() + x = hard_dropout.hard_dropout(type)( + rate=0.5, dropout_value=0.0, deterministic=not training + )(x) ######################################################## x = harden_layer.harden_layer(type)(x) x = x.reshape((num_classes, int(x.shape[0] / num_classes))) @@ -280,18 +215,18 @@ def train_and_evaluate( ) if train_accuracy > best_train_accuracy: best_train_accuracy = train_accuracy - print(f"best_train_accuracy: {best_train_accuracy * 100:.2f}") + # print(f"best_train_accuracy: {best_train_accuracy * 100:.2f}") if test_accuracy >= best_test_accuracy: best_test_accuracy = test_accuracy - print(f"best_test_accuracy: {best_test_accuracy * 100:.2f}") - else: - print(f"test_accuracy: {test_accuracy * 100:.2f}") - print("\n") + # print(f"best_test_accuracy: {best_test_accuracy * 100:.2f}") + # else: + # print(f"test_accuracy: {test_accuracy * 100:.2f}") + # print("\n") - print( - "epoch:% 3d, train_loss: %.4f, train_accuracy: %.2f, test_loss: %.4f, test_accuracy: %.2f" - % (epoch, train_loss, train_accuracy * 100, test_loss, test_accuracy * 100) - ) + # print( + # "epoch:% 3d, train_loss: %.4f, train_accuracy: %.2f, test_loss: %.4f, test_accuracy: %.2f" + # % (epoch, train_loss, train_accuracy * 100, test_loss, test_accuracy * 100) + # ) return state @@ -320,7 +255,7 @@ def get_config(): config.learning_rate = 0.01 config.momentum = 0.9 config.batch_size = 256 - config.num_epochs = 1000 + config.num_epochs = 500 return config From 7a1910bc8c659b09d139d05696e488f4eb5ed40f Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Mon, 30 Jan 2023 09:29:12 +0000 Subject: [PATCH 011/128] reactivate mnist test --- neurallogic/hard_dropout.py | 5 +- tests/test_mnist.py | 299 +++++++++++++++++++----------------- 2 files changed, 161 insertions(+), 143 deletions(-) diff --git a/neurallogic/hard_dropout.py b/neurallogic/hard_dropout.py index e3dec20..2f92cae 100644 --- a/neurallogic/hard_dropout.py +++ b/neurallogic/hard_dropout.py @@ -31,6 +31,7 @@ class SoftHardDropout(nn.Module): deterministic: Optional[bool] = None rng_collection: str = "dropout" dropout_value: float = 0.0 + dtype: jax.numpy.dtype = jax.numpy.float32 @nn.compact def __call__(self, inputs, deterministic: Optional[bool] = None): @@ -64,7 +65,9 @@ def __call__(self, inputs, deterministic: Optional[bool] = None): broadcast_shape[dim] = 1 mask = random.bernoulli(rng, p=keep_prob, shape=broadcast_shape) mask = jax.numpy.broadcast_to(mask, inputs.shape) - masked_values = jax.numpy.full_like(inputs, self.dropout_value, dtype=float) + masked_values = jax.numpy.full_like( + inputs, self.dropout_value, dtype=self.dtype + ) return lax.select(mask, inputs, masked_values) diff --git a/tests/test_mnist.py b/tests/test_mnist.py index caf2a66..ed803cb 100644 --- a/tests/test_mnist.py +++ b/tests/test_mnist.py @@ -23,54 +23,12 @@ harden_layer, neural_logic_net, real_encoder, + hard_dropout, ) # Uncomment to debug NaNs # config.update("jax_debug_nans", True) -""" -MNIST test. - -Executes the training and evaluation loop for MNIST. -The data is loaded using tensorflow_datasets. -""" - -# TODO: experiment in ipython notebook with different values for these -""" -def nln(type, x, width): - #x = x.reshape((-1, 1)) - #re = real_encoder.real_encoder_layer(type)(3) - #x = jax.vmap(re, 0)(x) - #x = x.ravel() - #x = hard_or.or_layer(type)(width, nn.initializers.uniform(1.0), dtype=jax.numpy.float16)(x) - x = hard_or.or_layer(type)(width, nn.initializers.uniform(1.0), dtype=jax.numpy.float16)(x) - x = hard_not.not_layer(type)(10)(x) - x = x.ravel() # flatten the outputs of the not layer - # harden the outputs of the not layer - x = harden_layer.harden_layer(type)(x) - x = x.reshape((10, width)) # reshape to 10 ports, 100 bits each - x = x.sum(-1) # sum the 100 bits in each port - return x -""" - - -def nln(type, x): - num_classes = 10 - - x = hard_or.or_layer(type)( - 1800, nn.initializers.uniform(1.0), dtype=jax.numpy.float16 - )(x) - x = hard_not.not_layer(type)(1, dtype=jax.numpy.float16)(x) - x = x.ravel() - x = harden_layer.harden_layer(type)(x) - x = x.reshape((num_classes, int(x.shape[0] / num_classes))) - x = x.sum(-1) - return x - - -def batch_nln(type, x): - return jax.vmap(lambda x: nln(type, x))(x) - class CNN(nn.Module): """A simple CNN model.""" @@ -90,12 +48,98 @@ def __call__(self, x): return x -@jax.jit -def apply_model_with_grad(state, images, labels): - """Computes gradients, loss and accuracy for a single batch.""" +def check_symbolic(nets, datasets, trained_state, dropout_rng): + _, test_ds = datasets + _, hard, symbolic = nets + _, test_loss, test_accuracy = apply_model_with_grad( + trained_state, test_ds["image"], test_ds["label"], dropout_rng + ) + print( + "soft_net: final test_loss: %.4f, final test_accuracy: %.2f" + % (test_loss, test_accuracy * 100) + ) + hard_weights = harden.hard_weights(trained_state.params) + hard_trained_state = train_state.TrainState.create( + apply_fn=hard.apply, params=hard_weights, tx=optax.sgd(1.0, 1.0) + ) + hard_input = harden.harden(test_ds["image"]) + hard_test_accuracy = apply_hard_model_to_images( + hard_trained_state, hard_input, test_ds["label"] + ) + print("hard_net: final test_accuracy: %.2f" % (hard_test_accuracy * 100)) + assert np.isclose(test_accuracy, hard_test_accuracy, atol=0.0001) + # TODO: activate these checks + if False: + # It takes too long to compute this + symbolic_weights = harden.symbolic_weights(trained_state.params) + symbolic_trained_state = train_state.TrainState.create( + apply_fn=symbolic.apply, params=symbolic_weights, tx=optax.sgd(1.0, 1.0) + ) + symbolic_input = hard_input.tolist() + symbolic_test_accuracy = apply_hard_model_to_images( + symbolic_trained_state, symbolic_input, test_ds["label"] + ) + print( + "symbolic_net: final test_accuracy: %.2f" % (symbolic_test_accuracy * 100) + ) + assert np.isclose(test_accuracy, symbolic_test_accuracy, atol=0.0001) + if False: + # CPU and GPU give different results, so we can't easily regress on a static symbolic expression + symbolic_input = [f"x{i}" for i in range(len(hard_input[0].tolist()))] + symbolic_output = symbolic.apply({"params": symbolic_weights}, symbolic_input) + print("symbolic_output", symbolic_output[0][:10000]) + + +def nln(type, x, training: bool): + num_classes = 10 + + x = hard_or.or_layer(type)( + 100, nn.initializers.uniform(1.0), dtype=jax.numpy.float16 + )(x) + x = hard_not.not_layer(type)(1, dtype=jax.numpy.float16)(x) + x = x.ravel() + ############################## + x = harden_layer.harden_layer(type)(x) + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) + return x + + +def nln_experimental(type, x, training: bool): + num_classes = 10 + + x = hard_or.or_layer(type)( + 1800, nn.initializers.uniform(1.0), dtype=jax.numpy.float16 + )(x) + x = hard_dropout.hard_dropout(type)( + rate=0.01, + dropout_value=0.0, + deterministic=not training, + dtype=jax.numpy.float16, + )(x) + x = hard_not.not_layer(type)(1, dtype=jax.numpy.float16)(x) + x = x.ravel() + ############################## + x = harden_layer.harden_layer(type)(x) + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) + return x + + +def batch_nln(type, x, training: bool): + return jax.vmap(lambda x: nln(type, x, training))(x) + + +def apply_model_with_grad_impl(state, images, labels, dropout_rng, training: bool): + dropout_train_rng = jax.random.fold_in(key=dropout_rng, data=state.step) def loss_fn(params): - logits = state.apply_fn({"params": params}, images) + logits = state.apply_fn( + {"params": params}, + images, + training=training, + rngs={"dropout": dropout_train_rng}, + ) one_hot = jax.nn.one_hot(labels, 10) loss = jnp.mean(optax.softmax_cross_entropy(logits=logits, labels=one_hot)) return loss, logits @@ -106,12 +150,24 @@ def loss_fn(params): return grads, loss, accuracy +@jax.jit +def apply_model_with_grad_and_training(state, images, labels, dropout_rng): + return apply_model_with_grad_impl(state, images, labels, dropout_rng, training=True) + + +@jax.jit +def apply_model_with_grad(state, images, labels, dropout_rng): + return apply_model_with_grad_impl( + state, images, labels, dropout_rng, training=False + ) + + @jax.jit def update_model(state, grads): return state.apply_gradients(grads=grads) -def train_epoch(state, train_ds, batch_size, rng): +def train_epoch(state, train_ds, batch_size, rng, dropout_rng): """Train for a single epoch.""" train_ds_size = len(train_ds["image"]) steps_per_epoch = train_ds_size // batch_size @@ -126,7 +182,9 @@ def train_epoch(state, train_ds, batch_size, rng): for perm in perms: batch_images = train_ds["image"][perm, ...] batch_labels = train_ds["label"][perm, ...] - grads, loss, accuracy = apply_model_with_grad(state, batch_images, batch_labels) + grads, loss, accuracy = apply_model_with_grad_and_training( + state, batch_images, batch_labels, dropout_rng + ) state = update_model(state, grads) epoch_loss.append(loss) epoch_accuracy.append(accuracy) @@ -140,14 +198,12 @@ def get_datasets(): ds_builder.download_and_prepare() train_ds = tfds.as_numpy(ds_builder.as_dataset(split="train", batch_size=-1)) test_ds = tfds.as_numpy(ds_builder.as_dataset(split="test", batch_size=-1)) - # XXXX train_ds["image"] = jnp.float32(train_ds["image"]) / 255.0 test_ds["image"] = jnp.float32(test_ds["image"]) / 255.0 - # TODO: we don't need to do this even when we don't use the real encoder - # Use grayscale information # Convert the floating point values in [0,1] to binary values in {0,1} - # train_ds["image"] = jnp.round(train_ds["image"]) - # test_ds["image"] = jnp.round(test_ds["image"]) + # This is essential for the hard-net to learn properly. + train_ds["image"] = jnp.round(train_ds["image"]) + test_ds["image"] = jnp.round(test_ds["image"]) return train_ds, test_ds @@ -170,38 +226,43 @@ def show_img_grid(imgs, titles): show_img(img, axs[i // n][i % n], title) -def create_train_state(net, rng, config): - """Creates initial `TrainState`.""" - # for CNN - # mock_input = jnp.ones([1, 28, 28, 1]) - # for NLN +class TrainState(train_state.TrainState): + dropout_rng: jax.random.KeyArray + + +def create_train_state(net, rng, dropout_rng, config): + # for CNN: mock_input = jnp.ones([1, 28, 28, 1]) mock_input = jnp.ones([1, 28 * 28]) - soft_weights = net.init(rng, mock_input)["params"] + soft_weights = net.init(rng, mock_input, training=False)["params"] # tx = optax.sgd(config.learning_rate, config.momentum) - # tx = optax.noisy_sgd(config.learning_rate, config.momentum) tx = optax.yogi(config.learning_rate) - return train_state.TrainState.create(apply_fn=net.apply, params=soft_weights, tx=tx) + # tx = optax.adam(config.learning_rate) + return TrainState.create( + apply_fn=net.apply, params=soft_weights, tx=tx, dropout_rng=dropout_rng + ) def train_and_evaluate( - net, datasets, config: ml_collections.ConfigDict, workdir: str -) -> train_state.TrainState: + init_rng, + dropout_rng, + net, + datasets, + config: ml_collections.ConfigDict, + workdir: str, +): + state = create_train_state(net, init_rng, dropout_rng, config) train_dataset, test_dataset = datasets - rng = jax.random.PRNGKey(0) summary_writer = tensorboard.SummaryWriter(workdir) summary_writer.hparams(dict(config)) - rng, init_rng = jax.random.split(rng) - state = create_train_state(net, init_rng, config) - for epoch in range(1, config.num_epochs + 1): - rng, input_rng = jax.random.split(rng) + init_rng, input_rng = jax.random.split(init_rng) state, train_loss, train_accuracy = train_epoch( - state, train_dataset, config.batch_size, input_rng + state, train_dataset, config.batch_size, input_rng, dropout_rng ) _, test_loss, test_accuracy = apply_model_with_grad( - state, test_dataset["image"], test_dataset["label"] + state, test_dataset["image"], test_dataset["label"], dropout_rng ) print( @@ -217,24 +278,6 @@ def train_and_evaluate( return state -def get_config(): - """Get the default hyperparameter configuration.""" - config = ml_collections.ConfigDict() - - # config for CNN - config.learning_rate = 0.01 - # config for NLN - # config.learning_rate = 0.1 - config.learning_rate = 0.01 - - # Always commit with num_epochs = 1 for short test time - config.momentum = 0.9 - config.batch_size = 128 - # config.num_epochs = 2 - config.num_epochs = 1000 - return config - - def apply_hard_model(state, image, label): def logits_fn(params): return state.apply_fn({"params": params}, image) @@ -254,76 +297,48 @@ def apply_hard_model_to_images(state, images, labels): return accuracy / len(images) -def check_symbolic(nets, datasets, trained_state): - _, test_ds = datasets - _, hard, symbolic = nets - _, test_loss, test_accuracy = apply_model_with_grad( - trained_state, test_ds["image"], test_ds["label"] - ) - print( - "soft_net: final test_loss: %.4f, final test_accuracy: %.2f" - % (test_loss, test_accuracy * 100) - ) - hard_weights = harden.hard_weights(trained_state.params) - hard_trained_state = train_state.TrainState.create( - apply_fn=hard.apply, params=hard_weights, tx=optax.sgd(1.0, 1.0) - ) - hard_input = harden.harden(test_ds["image"]) - hard_test_accuracy = apply_hard_model_to_images( - hard_trained_state, hard_input, test_ds["label"] - ) - print("hard_net: final test_accuracy: %.2f" % (hard_test_accuracy * 100)) - assert np.isclose(test_accuracy, hard_test_accuracy, atol=0.0001) - # TODO: activate these checks - if False: - # It takes too long to compute this - symbolic_weights = harden.symbolic_weights(trained_state.params) - symbolic_trained_state = train_state.TrainState.create( - apply_fn=symbolic.apply, params=symbolic_weights, tx=optax.sgd(1.0, 1.0) - ) - symbolic_input = hard_input.tolist() - symbolic_test_accuracy = apply_hard_model_to_images( - symbolic_trained_state, symbolic_input, test_ds["label"] - ) - print( - "symbolic_net: final test_accuracy: %.2f" % (symbolic_test_accuracy * 100) - ) - assert np.isclose(test_accuracy, symbolic_test_accuracy, atol=0.0001) - if False: - # CPU and GPU give different results, so we can't easily regress on a static symbolic expression - symbolic_input = [f"x{i}" for i in range(len(hard_input[0].tolist()))] - symbolic_output = symbolic.apply({"params": symbolic_weights}, symbolic_input) - print("symbolic_output", symbolic_output[0][:10000]) +def get_config(): + config = ml_collections.ConfigDict() + # config for CNN: config.learning_rate = 0.01 + config.learning_rate = 0.1 + config.momentum = 0.9 + config.batch_size = 128 + config.num_epochs = 2 + return config -@pytest.mark.skip(reason="temporarily off") +# @pytest.mark.skip(reason="temporarily off") def test_mnist(): # Make sure tf does not allocate gpu memory. tf.config.experimental.set_visible_devices([], "GPU") - # Define training configuration. - config = get_config() + rng = jax.random.PRNGKey(0) + rng, int_rng, dropout_rng = jax.random.split(rng, 3) - # Define the model. # soft = CNN() - # width = 800 - soft, hard, _ = neural_logic_net.net(lambda type, x: batch_nln(type, x)) + soft, hard, symbolic = neural_logic_net.net( + lambda type, x, training: batch_nln(type, x, training) + ) - # Get the MNIST dataset. train_ds, test_ds = get_datasets() # If we're using a NLN then flatten the images train_ds["image"] = jnp.reshape(train_ds["image"], (train_ds["image"].shape[0], -1)) test_ds["image"] = jnp.reshape(test_ds["image"], (test_ds["image"].shape[0], -1)) - print(soft.tabulate(jax.random.PRNGKey(0), train_ds["image"][0:1])) - # TODO: fix the size of this - # print(hard.tabulate(jax.random.PRNGKey(0), harden.harden(train_ds["image"][0:1]))) + print(soft.tabulate(rng, train_ds["image"][0:1], training=False)) # Train and evaluate the model. trained_state = train_and_evaluate( - soft, (train_ds, test_ds), config=config, workdir="./mnist_metrics" + int_rng, + dropout_rng, + soft, + (train_ds, test_ds), + config=get_config(), + workdir="./mnist_metrics", ) # Check symbolic net - _, hard, symbolic = neural_logic_net.net(lambda type, x: nln(type, x)) - check_symbolic((soft, hard, symbolic), (train_ds, test_ds), trained_state) + _, hard, symbolic = neural_logic_net.net(lambda type, x: nln(type, x, False)) + check_symbolic( + (soft, hard, symbolic), (train_ds, test_ds), trained_state, dropout_rng + ) From a0f7af7bf1eb7ebe68885aee86290a48b66e38b7 Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Mon, 30 Jan 2023 09:49:54 +0000 Subject: [PATCH 012/128] rename and refactor the learnable masks --- neurallogic/hard_and.py | 54 +++++++-------- neurallogic/hard_masks.py | 33 +++++++++ neurallogic/hard_or.py | 48 ++++++------- neurallogic/hard_xor.py | 27 ++------ tests/test_hard_and.py | 141 ++++++++++++++++++++------------------ tests/test_hard_masks.py | 44 ++++++++++++ tests/test_hard_or.py | 134 +++++++++++++++++++----------------- tests/test_hard_xor.py | 117 ++++++++++++++----------------- tests/test_mnist.py | 1 - 9 files changed, 325 insertions(+), 274 deletions(-) create mode 100644 neurallogic/hard_masks.py create mode 100644 tests/test_hard_masks.py diff --git a/neurallogic/hard_and.py b/neurallogic/hard_and.py index 02d49d6..7aa6867 100644 --- a/neurallogic/hard_and.py +++ b/neurallogic/hard_and.py @@ -1,38 +1,19 @@ -from typing import Any +from typing import Callable import jax from flax import linen as nn -from typing import Callable - - -from neurallogic import neural_logic_net, symbolic_generation - - -def soft_and_include(w: float, x: float) -> float: - """ - w > 0.5 implies the and operation is active, else inactive - - Assumes x is in [0, 1] - - Corresponding hard logic: x OR ! w - """ - w = jax.numpy.clip(w, 0.0, 1.0) - return jax.numpy.maximum(x, 1.0 - w) - - - -def hard_and_include(w, x): - return jax.numpy.logical_or(x, jax.numpy.logical_not(w)) +from neurallogic import hard_masks, neural_logic_net, symbolic_generation +# TODO: seperate and operation from mask operation def soft_and_neuron(w, x): - x = jax.vmap(soft_and_include, 0, 0)(w, x) + x = jax.vmap(hard_masks.soft_mask_to_true, 0, 0)(w, x) return jax.numpy.min(x) def hard_and_neuron(w, x): - x = jax.vmap(hard_and_include, 0, 0)(w, x) + x = jax.vmap(hard_masks.hard_mask_to_true, 0, 0)(w, x) return jax.lax.reduce(x, True, jax.lax.bitwise_and, [0]) @@ -41,6 +22,7 @@ def hard_and_neuron(w, x): hard_and_layer = jax.vmap(hard_and_neuron, (0, None), 0) +# TODO: move initialization to separate file def initialize_near_to_zero(): # TODO: investigate better initialization def init(key, shape, dtype): @@ -51,6 +33,7 @@ def init(key, shape, dtype): x = 0.5 * x - 1 x = jax.numpy.clip(x, 0.001, 0.999) return x + return init @@ -62,6 +45,7 @@ class SoftAndLayer(nn.Module): layer_size: The number of neurons in the layer. weights_init: The initializer function for the weight matrix. """ + layer_size: int weights_init: Callable = initialize_near_to_zero() dtype: jax.numpy.dtype = jax.numpy.float32 @@ -69,8 +53,9 @@ class SoftAndLayer(nn.Module): @nn.compact def __call__(self, x): weights_shape = (self.layer_size, jax.numpy.shape(x)[-1]) - weights = self.param('bit_weights', self.weights_init, - weights_shape, self.dtype) + weights = self.param( + "bit_weights", self.weights_init, weights_shape, self.dtype + ) x = jax.numpy.asarray(x, self.dtype) return soft_and_layer(weights, x) @@ -83,13 +68,15 @@ class HardAndLayer(nn.Module): Attributes: layer_size: The number of neurons in the layer. """ + layer_size: int @nn.compact def __call__(self, x): weights_shape = (self.layer_size, jax.numpy.shape(x)[-1]) weights = self.param( - 'bit_weights', nn.initializers.constant(True), weights_shape) + "bit_weights", nn.initializers.constant(True), weights_shape + ) return hard_and_layer(weights, x) @@ -104,6 +91,13 @@ def __call__(self, x): and_layer = neural_logic_net.select( - lambda layer_size, weights_init=initialize_near_to_zero(), dtype=jax.numpy.float32: SoftAndLayer(layer_size, weights_init, dtype), - lambda layer_size, weights_init=nn.initializers.constant(True), dtype=jax.numpy.float32: HardAndLayer(layer_size), - lambda layer_size, weights_init=nn.initializers.constant(True), dtype=jax.numpy.float32: SymbolicAndLayer(layer_size)) + lambda layer_size, weights_init=initialize_near_to_zero(), dtype=jax.numpy.float32: SoftAndLayer( + layer_size, weights_init, dtype + ), + lambda layer_size, weights_init=nn.initializers.constant( + True + ), dtype=jax.numpy.float32: HardAndLayer(layer_size), + lambda layer_size, weights_init=nn.initializers.constant( + True + ), dtype=jax.numpy.float32: SymbolicAndLayer(layer_size), +) diff --git a/neurallogic/hard_masks.py b/neurallogic/hard_masks.py new file mode 100644 index 0000000..c75b646 --- /dev/null +++ b/neurallogic/hard_masks.py @@ -0,0 +1,33 @@ +import jax + + +def soft_mask_to_true(w: float, x: float) -> float: + """ + w > 0.5 implies the and operation is active, else inactive + + Assumes x is in [0, 1] + + Corresponding hard logic: x OR ! w + """ + w = jax.numpy.clip(w, 0.0, 1.0) + return jax.numpy.maximum(x, 1.0 - w) + + +def hard_mask_to_true(w, x): + return jax.numpy.logical_or(x, jax.numpy.logical_not(w)) + + +def soft_mask_to_false(w: float, x: float) -> float: + """ + w > 0.5 implies the and operation is active, else inactive + + Assumes x is in [0, 1] + + Corresponding hard logic: b AND w + """ + w = jax.numpy.clip(w, 0.0, 1.0) + return 1.0 - jax.numpy.maximum(1.0 - x, 1.0 - w) + + +def hard_mask_to_false(w, x): + return jax.numpy.logical_and(x, w) diff --git a/neurallogic/hard_or.py b/neurallogic/hard_or.py index f9d2f18..c99b490 100644 --- a/neurallogic/hard_or.py +++ b/neurallogic/hard_or.py @@ -3,32 +3,17 @@ import jax from flax import linen as nn -from neurallogic import neural_logic_net, symbolic_generation - - -def soft_or_include(w: float, x: float) -> float: - """ - w > 0.5 implies the and operation is active, else inactive - - Assumes x is in [0, 1] - - Corresponding hard logic: b AND w - """ - w = jax.numpy.clip(w, 0.0, 1.0) - return 1.0 - jax.numpy.maximum(1.0 - x, 1.0 - w) - - -def hard_or_include(w, x): - return jax.numpy.logical_and(x, w) +from neurallogic import neural_logic_net, symbolic_generation, hard_masks +# TODO: seperate out the or operation from the mask operation def soft_or_neuron(w, x): - x = jax.vmap(soft_or_include, 0, 0)(w, x) + x = jax.vmap(hard_masks.soft_mask_to_false, 0, 0)(w, x) return jax.numpy.max(x) def hard_or_neuron(w, x): - x = jax.vmap(hard_or_include, 0, 0)(w, x) + x = jax.vmap(hard_masks.hard_mask_to_false, 0, 0)(w, x) return jax.lax.reduce(x, False, jax.lax.bitwise_or, [0]) @@ -48,6 +33,7 @@ def init(key, shape, dtype): x = 0.5 * x + 1 x = jax.numpy.clip(x, 0.001, 0.999) return x + return init @@ -60,8 +46,9 @@ class SoftOrLayer(nn.Module): def __call__(self, x): weights_shape = (self.layer_size, jax.numpy.shape(x)[-1]) weights = self.param( - 'bit_weights', self.weights_init, weights_shape, self.dtype) - x = jax.numpy.asarray(x, self.dtype) + "bit_weights", self.weights_init, weights_shape, self.dtype + ) + x = jax.numpy.asarray(x, self.dtype) return soft_or_layer(weights, x) @@ -72,7 +59,8 @@ class HardOrLayer(nn.Module): def __call__(self, x): weights_shape = (self.layer_size, jax.numpy.shape(x)[-1]) weights = self.param( - 'bit_weights', nn.initializers.constant(True), weights_shape) + "bit_weights", nn.initializers.constant(True), weights_shape + ) return hard_or_layer(weights, x) @@ -82,14 +70,18 @@ def __init__(self, layer_size): self.hard_or_layer = HardOrLayer(self.layer_size) def __call__(self, x): - jaxpr = symbolic_generation.make_symbolic_flax_jaxpr( - self.hard_or_layer, x) + jaxpr = symbolic_generation.make_symbolic_flax_jaxpr(self.hard_or_layer, x) return symbolic_generation.symbolic_expression(jaxpr, x) or_layer = neural_logic_net.select( - lambda layer_size, weights_init=initialize_near_to_one( - ), dtype=jax.numpy.float32: SoftOrLayer(layer_size, weights_init, dtype), + lambda layer_size, weights_init=initialize_near_to_one(), dtype=jax.numpy.float32: SoftOrLayer( + layer_size, weights_init, dtype + ), + lambda layer_size, weights_init=nn.initializers.constant( + True + ), dtype=jax.numpy.float32: HardOrLayer(layer_size), lambda layer_size, weights_init=nn.initializers.constant( - True), dtype=jax.numpy.float32: HardOrLayer(layer_size), - lambda layer_size, weights_init=nn.initializers.constant(True), dtype=jax.numpy.float32: SymbolicOrLayer(layer_size)) + True + ), dtype=jax.numpy.float32: SymbolicOrLayer(layer_size), +) diff --git a/neurallogic/hard_xor.py b/neurallogic/hard_xor.py index ca93a1c..460d1b5 100644 --- a/neurallogic/hard_xor.py +++ b/neurallogic/hard_xor.py @@ -3,28 +3,13 @@ import jax from flax import linen as nn -from neurallogic import neural_logic_net, symbolic_generation, hard_and - - -def soft_xor_include(w: float, x: float) -> float: - """ - w > 0.5 implies the and operation is active, else inactive - - Assumes x is in [0, 1] - - Corresponding hard logic: b AND w - """ - w = jax.numpy.clip(w, 0.0, 1.0) - return 1.0 - jax.numpy.maximum(1.0 - x, 1.0 - w) - - -def hard_xor_include(w, x): - return jax.numpy.logical_and(x, w) +from neurallogic import neural_logic_net, symbolic_generation, hard_masks +# TODO: seperate out the mask from the xor operation def soft_xor_neuron(w, x): # Conditionally include input bits, according to weights - x = jax.vmap(soft_xor_include, 0, 0)(w, x) + x = jax.vmap(hard_masks.soft_mask_to_false, 0, 0)(w, x) def xor(x, y): return jax.numpy.minimum(jax.numpy.maximum(x, y), 1.0 - jax.numpy.minimum(x, y)) @@ -34,7 +19,7 @@ def xor(x, y): def hard_xor_neuron(w, x): - x = jax.vmap(hard_xor_include, 0, 0)(w, x) + x = jax.vmap(hard_masks.hard_mask_to_false, 0, 0)(w, x) return jax.lax.reduce(x, False, jax.lax.bitwise_xor, [0]) @@ -48,8 +33,8 @@ class SoftXorLayer(nn.Module): layer_size: int weights_init: Callable = ( nn.initializers.uniform(1.0) - #hard_and.initialize_near_to_zero() - ) + # hard_and.initialize_near_to_zero() + ) dtype: jax.numpy.dtype = jax.numpy.float32 @nn.compact diff --git a/tests/test_hard_and.py b/tests/test_hard_and.py index e1854df..465a346 100644 --- a/tests/test_hard_and.py +++ b/tests/test_hard_and.py @@ -9,22 +9,6 @@ from tests import utils -def test_include(): - test_data = [ - [[1.0, 1.0], 1.0], - [[1.0, 0.0], 0.0], - [[0.0, 0.0], 1.0], - [[0.0, 1.0], 1.0], - [[1.1, 1.0], 1.0], - [[1.1, 0.0], 0.0], - [[-0.1, 0.0], 1.0], - [[-0.1, 1.0], 1.0] - ] - for input, expected in test_data: - utils.check_consistency(hard_and.soft_and_include, hard_and.hard_and_include, - expected, input[0], input[1]) - - def test_neuron(): test_data = [ [[1.0, 1.0], [1.0, 1.0], 1.0], @@ -32,41 +16,64 @@ def test_neuron(): [[1.0, 0.0], [0.0, 1.0], 0.0], [[0.0, 1.0], [1.0, 0.0], 0.0], [[0.0, 1.0], [0.0, 0.0], 1.0], - [[0.0, 1.0], [1.0, 1.0], 0.0] + [[0.0, 1.0], [1.0, 1.0], 0.0], ] for input, weights, expected in test_data: + def soft(weights, input): return hard_and.soft_and_neuron(weights, input) def hard(weights, input): return hard_and.hard_and_neuron(weights, input) - utils.check_consistency(soft, hard, expected, - jax.numpy.array(weights), jax.numpy.array(input)) + utils.check_consistency( + soft, hard, expected, jax.numpy.array(weights), jax.numpy.array(input) + ) def test_layer(): test_data = [ - [[1.0, 0.0], [[1.0, 1.0], [0.0, 1.0], [1.0, 0.0], - [0.0, 0.0]], [0.0, 0.0, 1.0, 1.0]], - [[1.0, 0.0], [[1.0, 1.0], [0.0, 1.0], [1.0, 0.0], - [0.0, 0.2]], [0.0, 0.0, 1.0, 0.8]], - [[1.0, 0.4], [[1.0, 1.0], [0.0, 1.0], [1.0, 0.0], - [0.0, 0.0]], [0.4, 0.4, 1.0, 1.0]], - [[0.0, 1.0], [[1.0, 1.0], [0.0, 0.8], [1.0, 0.0], - [0.0, 0.0]], [0.0, 1.0, 0.0, 1.0]], - [[0.0, 0.0], [[1.0, 0.01], [0.0, 1.0], [ - 1.0, 0.0], [0.0, 0.0]], [0.0, 0.0, 0.0, 1.0]] + [ + [1.0, 0.0], + [[1.0, 1.0], [0.0, 1.0], [1.0, 0.0], [0.0, 0.0]], + [0.0, 0.0, 1.0, 1.0], + ], + [ + [1.0, 0.0], + [[1.0, 1.0], [0.0, 1.0], [1.0, 0.0], [0.0, 0.2]], + [0.0, 0.0, 1.0, 0.8], + ], + [ + [1.0, 0.4], + [[1.0, 1.0], [0.0, 1.0], [1.0, 0.0], [0.0, 0.0]], + [0.4, 0.4, 1.0, 1.0], + ], + [ + [0.0, 1.0], + [[1.0, 1.0], [0.0, 0.8], [1.0, 0.0], [0.0, 0.0]], + [0.0, 1.0, 0.0, 1.0], + ], + [ + [0.0, 0.0], + [[1.0, 0.01], [0.0, 1.0], [1.0, 0.0], [0.0, 0.0]], + [0.0, 0.0, 0.0, 1.0], + ], ] for input, weights, expected in test_data: + def soft(weights, input): return hard_and.soft_and_layer(weights, input) def hard(weights, input): return hard_and.hard_and_layer(weights, input) - utils.check_consistency(soft, hard, jax.numpy.array(expected), - jax.numpy.array(weights), jax.numpy.array(input)) + utils.check_consistency( + soft, + hard, + jax.numpy.array(expected), + jax.numpy.array(weights), + jax.numpy.array(input), + ) def test_and(): @@ -80,27 +87,16 @@ def test_net(type, x): hard_weights = harden.hard_weights(weights) test_data = [ - [ - [1.0, 1.0], - [1.0, 1.0, 1.0, 1.0] - ], - [ - [1.0, 0.0], - [0.53707814, 0.13892889, 0.7197356, 0.62835324] - ], - [ - [0.0, 1.0], - [0.35097015, 0.34810758, 0.04889798, 0.43687034] - ], - [ - [0.0, 0.0], - [0.35097015, 0.13892889, 0.04889798, 0.43687034] - ] + [[1.0, 1.0], [1.0, 1.0, 1.0, 1.0]], + [[1.0, 0.0], [0.53707814, 0.13892889, 0.7197356, 0.62835324]], + [[0.0, 1.0], [0.35097015, 0.34810758, 0.04889798, 0.43687034]], + [[0.0, 0.0], [0.35097015, 0.13892889, 0.04889798, 0.43687034]], ] for input, expected in test_data: # Check that the soft function performs as expected - assert jax.numpy.allclose(soft.apply( - weights, jax.numpy.array(input)), jax.numpy.array(expected)) + assert jax.numpy.allclose( + soft.apply(weights, jax.numpy.array(input)), jax.numpy.array(expected) + ) # Check that the hard function performs as expected hard_input = harden.harden(jax.numpy.array(input)) @@ -130,17 +126,21 @@ def test_net(type, x): [1.0, 1.0, 1.0, 1.0], [0.0, 1.0, 1.0, 1.0], [1.0, 1.0, 1.0, 1.0], - [0.0, 1.0, 1.0, 1.0] + [0.0, 1.0, 1.0, 1.0], ] input = jax.numpy.array(x) output = jax.numpy.array(y) # Train the and layer tx = optax.sgd(0.1) - state = train_state.TrainState.create(apply_fn=jax.vmap( - soft.apply, in_axes=(None, 0)), params=weights, tx=tx) - grad_fn = jax.jit(jax.value_and_grad(lambda params, x, - y: jax.numpy.mean((state.apply_fn(params, x) - y) ** 2))) + state = train_state.TrainState.create( + apply_fn=jax.vmap(soft.apply, in_axes=(None, 0)), params=weights, tx=tx + ) + grad_fn = jax.jit( + jax.value_and_grad( + lambda params, x, y: jax.numpy.mean((state.apply_fn(params, x) - y) ** 2) + ) + ) for epoch in range(1, 100): loss, grads = grad_fn(state.params, input, output) state = state.apply_gradients(grads=grads) @@ -184,27 +184,36 @@ def test_net(type, x): assert numpy.array_equal(symbolic_output, hard_result) # Compute symbolic result with symbolic inputs and symbolic weights, but where the symbols can be evaluated - symbolic_input = ['True', 'False'] + symbolic_input = ["True", "False"] symbolic_weights = utils.make_symbolic(hard_weights) symbolic_output = symbolic.apply(symbolic_weights, symbolic_input) - symbolic_output = symbolic_generation.eval_symbolic_expression( - symbolic_output) + symbolic_output = symbolic_generation.eval_symbolic_expression(symbolic_output) # Check that the symbolic result is the same as the hard result assert numpy.array_equal(symbolic_output, hard_result) # Compute symbolic result with symbolic inputs and non-symbolic weights - symbolic_input = ['x1', 'x2'] + symbolic_input = ["x1", "x2"] symbolic_output = symbolic.apply(hard_weights, symbolic_input) # Check the form of the symbolic expression - assert numpy.array_equal(symbolic_output, ['numpy.logical_and(numpy.logical_and(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), True)), 0), True)), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), False)), 0), False)), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), True)), 0), False)), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), True)), 0), True))', - 'numpy.logical_and(numpy.logical_and(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), True)), 0), False)), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), False)), 0), False)), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), True)), 0), False)), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), True)), 0), True))', - 'numpy.logical_and(numpy.logical_and(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), True)), 0), True)), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), False)), 0), True)), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), True)), 0), False)), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), True)), 0), True))', - 'numpy.logical_and(numpy.logical_and(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), True)), 0), True)), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), False)), 0), False)), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), True)), 0), False)), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), True)), 0), False))']) + assert numpy.array_equal( + symbolic_output, + [ + "numpy.logical_and(numpy.logical_and(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), True)), 0), True)), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), False)), 0), False)), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), True)), 0), False)), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), True)), 0), True))", + "numpy.logical_and(numpy.logical_and(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), True)), 0), False)), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), False)), 0), False)), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), True)), 0), False)), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), True)), 0), True))", + "numpy.logical_and(numpy.logical_and(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), True)), 0), True)), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), False)), 0), True)), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), True)), 0), False)), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), True)), 0), True))", + "numpy.logical_and(numpy.logical_and(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), True)), 0), True)), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), False)), 0), False)), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), True)), 0), False)), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), False)), numpy.logical_or(lax_reference.ne(x2, 0), True)), 0), False))", + ], + ) # Compute symbolic result with symbolic inputs and symbolic weights symbolic_output = symbolic.apply(symbolic_weights, symbolic_input) # Check the form of the symbolic expression - assert numpy.array_equal(symbolic_output, ['numpy.logical_and(numpy.logical_and(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(False, 0)))), 0), numpy.logical_not(lax_reference.ne(False, 0)))), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(True, 0)))), 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(False, 0)))), 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(False, 0)))), 0), numpy.logical_not(lax_reference.ne(False, 0))))', - 'numpy.logical_and(numpy.logical_and(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(False, 0)))), 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(True, 0)))), 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(False, 0)))), 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(False, 0)))), 0), numpy.logical_not(lax_reference.ne(False, 0))))', - 'numpy.logical_and(numpy.logical_and(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(False, 0)))), 0), numpy.logical_not(lax_reference.ne(False, 0)))), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(True, 0)))), 0), numpy.logical_not(lax_reference.ne(False, 0)))), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(False, 0)))), 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(False, 0)))), 0), numpy.logical_not(lax_reference.ne(False, 0))))', - 'numpy.logical_and(numpy.logical_and(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(False, 0)))), 0), numpy.logical_not(lax_reference.ne(False, 0)))), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(True, 0)))), 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(False, 0)))), 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(False, 0)))), 0), numpy.logical_not(lax_reference.ne(True, 0))))']) + assert numpy.array_equal( + symbolic_output, + [ + "numpy.logical_and(numpy.logical_and(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(False, 0)))), 0), numpy.logical_not(lax_reference.ne(False, 0)))), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(True, 0)))), 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(False, 0)))), 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(False, 0)))), 0), numpy.logical_not(lax_reference.ne(False, 0))))", + "numpy.logical_and(numpy.logical_and(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(False, 0)))), 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(True, 0)))), 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(False, 0)))), 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(False, 0)))), 0), numpy.logical_not(lax_reference.ne(False, 0))))", + "numpy.logical_and(numpy.logical_and(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(False, 0)))), 0), numpy.logical_not(lax_reference.ne(False, 0)))), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(True, 0)))), 0), numpy.logical_not(lax_reference.ne(False, 0)))), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(False, 0)))), 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(False, 0)))), 0), numpy.logical_not(lax_reference.ne(False, 0))))", + "numpy.logical_and(numpy.logical_and(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(False, 0)))), 0), numpy.logical_not(lax_reference.ne(False, 0)))), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(True, 0)))), 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(False, 0)))), 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(numpy.logical_and(numpy.logical_and(True, numpy.logical_or(lax_reference.ne(x1, 0), numpy.logical_not(lax_reference.ne(True, 0)))), numpy.logical_or(lax_reference.ne(x2, 0), numpy.logical_not(lax_reference.ne(False, 0)))), 0), numpy.logical_not(lax_reference.ne(True, 0))))", + ], + ) diff --git a/tests/test_hard_masks.py b/tests/test_hard_masks.py new file mode 100644 index 0000000..dcb2bae --- /dev/null +++ b/tests/test_hard_masks.py @@ -0,0 +1,44 @@ +from neurallogic import hard_masks +from tests import utils + + +def test_mask_to_true(): + test_data = [ + [[1.0, 1.0], 1.0], + [[1.0, 0.0], 0.0], + [[0.0, 0.0], 1.0], + [[0.0, 1.0], 1.0], + [[1.1, 1.0], 1.0], + [[1.1, 0.0], 0.0], + [[-0.1, 0.0], 1.0], + [[-0.1, 1.0], 1.0], + ] + for input, expected in test_data: + utils.check_consistency( + hard_masks.soft_mask_to_true, + hard_masks.hard_mask_to_true, + expected, + input[0], + input[1], + ) + + +def test_mask_to_false(): + test_data = [ + [[1.0, 1.0], 1.0], + [[1.0, 0.0], 0.0], + [[0.0, 0.0], 0.0], + [[0.0, 1.0], 0.0], + [[1.1, 1.0], 1.0], + [[1.1, 0.0], 0.0], + [[-0.1, 0.0], 0.0], + [[-0.1, 1.0], 0.0], + ] + for input, expected in test_data: + utils.check_consistency( + hard_masks.soft_mask_to_false, + hard_masks.hard_mask_to_false, + expected, + input[0], + input[1], + ) diff --git a/tests/test_hard_or.py b/tests/test_hard_or.py index 6f550fe..c3b3d65 100644 --- a/tests/test_hard_or.py +++ b/tests/test_hard_or.py @@ -9,22 +9,6 @@ from tests import utils -def test_include(): - test_data = [ - [[1.0, 1.0], 1.0], - [[1.0, 0.0], 0.0], - [[0.0, 0.0], 0.0], - [[0.0, 1.0], 0.0], - [[1.1, 1.0], 1.0], - [[1.1, 0.0], 0.0], - [[-0.1, 0.0], 0.0], - [[-0.1, 1.0], 0.0] - ] - for input, expected in test_data: - utils.check_consistency(hard_or.soft_or_include, hard_or.hard_or_include, - expected, input[0], input[1]) - - def test_neuron(): test_data = [ [[1.0, 1.0], [1.0, 1.0], 1.0], @@ -32,39 +16,59 @@ def test_neuron(): [[1.0, 0.0], [0.0, 1.0], 0.0], [[0.0, 1.0], [1.0, 0.0], 0.0], [[0.0, 1.0], [0.0, 0.0], 0.0], - [[0.0, 1.0], [1.0, 1.0], 1.0] + [[0.0, 1.0], [1.0, 1.0], 1.0], ] for input, weights, expected in test_data: + def soft(weights, input): return hard_or.soft_or_neuron(weights, input) def hard(weights, input): return hard_or.hard_or_neuron(weights, input) - utils.check_consistency(soft, hard, expected, - jax.numpy.array(weights), jax.numpy.array(input)) + utils.check_consistency( + soft, hard, expected, jax.numpy.array(weights), jax.numpy.array(input) + ) def test_layer(): test_data = [ - [[1.0, 0.0], [[1.0, 1.0], [0.0, 1.0], [1.0, 0.0], - [0.0, 0.2]], [1.0, 0.0, 1.0, 0.0]], - [[1.0, 0.4], [[1.0, 1.0], [0.0, 1.0], [1.0, 0.0], - [0.0, 0.0]], [1.0, 0.39999998, 1.0, 0.0]], - [[0.0, 1.0], [[1.0, 1.0], [0.0, 0.8], [1.0, 0.0], - [0.0, 0.0]], [1.0, 0.8, 0.0, 0.0]], - [[0.0, 0.0], [[1.0, 0.01], [0.0, 1.0], [ - 1.0, 0.0], [0.0, 0.0]], [0.0, 0.0, 0.0, 0.0]] + [ + [1.0, 0.0], + [[1.0, 1.0], [0.0, 1.0], [1.0, 0.0], [0.0, 0.2]], + [1.0, 0.0, 1.0, 0.0], + ], + [ + [1.0, 0.4], + [[1.0, 1.0], [0.0, 1.0], [1.0, 0.0], [0.0, 0.0]], + [1.0, 0.39999998, 1.0, 0.0], + ], + [ + [0.0, 1.0], + [[1.0, 1.0], [0.0, 0.8], [1.0, 0.0], [0.0, 0.0]], + [1.0, 0.8, 0.0, 0.0], + ], + [ + [0.0, 0.0], + [[1.0, 0.01], [0.0, 1.0], [1.0, 0.0], [0.0, 0.0]], + [0.0, 0.0, 0.0, 0.0], + ], ] for input, weights, expected in test_data: + def soft(weights, input): return hard_or.soft_or_layer(weights, input) def hard(weights, input): return hard_or.hard_or_layer(weights, input) - utils.check_consistency(soft, hard, jax.numpy.array(expected), - jax.numpy.array(weights), jax.numpy.array(input)) + utils.check_consistency( + soft, + hard, + jax.numpy.array(expected), + jax.numpy.array(weights), + jax.numpy.array(input), + ) def test_or(): @@ -78,27 +82,16 @@ def test_net(type, x): hard_weights = harden.hard_weights(weights) test_data = [ - [ - [1.0, 1.0], - [0.45491087, 0.36511207, 0.62628365, 0.95989954] - ], - [ - [1.0, 0.0], - [0.2715416, 0.03128195, 0.01773429, 0.5896025] - ], - [ - [0.0, 1.0], - [0.45491087, 0.36511207, 0.62628365, 0.95989954] - ], - [ - [0.0, 0.0], - [0.0, 0.0, 0.0, 0.0] - ] + [[1.0, 1.0], [0.45491087, 0.36511207, 0.62628365, 0.95989954]], + [[1.0, 0.0], [0.2715416, 0.03128195, 0.01773429, 0.5896025]], + [[0.0, 1.0], [0.45491087, 0.36511207, 0.62628365, 0.95989954]], + [[0.0, 0.0], [0.0, 0.0, 0.0, 0.0]], ] for input, expected in test_data: # Check that the soft function performs as expected - assert jax.numpy.allclose(soft.apply( - weights, jax.numpy.array(input)), jax.numpy.array(expected)) + assert jax.numpy.allclose( + soft.apply(weights, jax.numpy.array(input)), jax.numpy.array(expected) + ) # Check that the hard function performs as expected hard_input = harden.harden(jax.numpy.array(input)) @@ -128,17 +121,21 @@ def test_net(type, x): [1.0, 0.0, 1.0, 1.0], [1.0, 0.0, 1.0, 0.0], [1.0, 0.0, 0.0, 1.0], - [0.0, 0.0, 0.0, 0.0] + [0.0, 0.0, 0.0, 0.0], ] input = jax.numpy.array(x) output = jax.numpy.array(y) # Train the or layer tx = optax.sgd(0.1) - state = train_state.TrainState.create(apply_fn=jax.vmap( - soft.apply, in_axes=(None, 0)), params=weights, tx=tx) - grad_fn = jax.jit(jax.value_and_grad(lambda params, x, - y: jax.numpy.mean((state.apply_fn(params, x) - y) ** 2))) + state = train_state.TrainState.create( + apply_fn=jax.vmap(soft.apply, in_axes=(None, 0)), params=weights, tx=tx + ) + grad_fn = jax.jit( + jax.value_and_grad( + lambda params, x, y: jax.numpy.mean((state.apply_fn(params, x) - y) ** 2) + ) + ) for epoch in range(1, 100): loss, grads = grad_fn(state.params, input, output) state = state.apply_gradients(grads=grads) @@ -182,27 +179,36 @@ def test_net(type, x): assert numpy.array_equal(symbolic_output, hard_result) # Compute symbolic result with symbolic inputs and symbolic weights, but where the symbols can be evaluated - symbolic_input = ['True', 'False'] + symbolic_input = ["True", "False"] symbolic_weights = utils.make_symbolic(hard_weights) symbolic_output = symbolic.apply(symbolic_weights, symbolic_input) - symbolic_output = symbolic_generation.eval_symbolic_expression( - symbolic_output) + symbolic_output = symbolic_generation.eval_symbolic_expression(symbolic_output) # Check that the symbolic result is the same as the hard result assert numpy.array_equal(symbolic_output, hard_result) # Compute symbolic result with symbolic inputs and non-symbolic weights - symbolic_input = ['x1', 'x2'] + symbolic_input = ["x1", "x2"] symbolic_output = symbolic.apply(hard_weights, symbolic_input) # Check the form of the symbolic expression - assert numpy.array_equal(symbolic_output, ['numpy.logical_or(numpy.logical_or(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), False)), 0), True)), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), False)), 0), True)), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), True)), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), True)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), True))', - 'numpy.logical_or(numpy.logical_or(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), False)), 0), False)), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), False)), 0), True)), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), False)), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), True)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), False))', - 'numpy.logical_or(numpy.logical_or(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), False)), 0), False)), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), False)), 0), False)), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), True)), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), True)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), True))', - 'numpy.logical_or(numpy.logical_or(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), False)), 0), False)), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), False)), 0), True)), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), True)), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), True)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), True))']) + assert numpy.array_equal( + symbolic_output, + [ + "numpy.logical_or(numpy.logical_or(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), False)), 0), True)), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), False)), 0), True)), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), True)), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), True)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), True))", + "numpy.logical_or(numpy.logical_or(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), False)), 0), False)), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), False)), 0), True)), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), False)), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), True)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), False))", + "numpy.logical_or(numpy.logical_or(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), False)), 0), False)), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), False)), 0), False)), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), True)), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), True)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), True))", + "numpy.logical_or(numpy.logical_or(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), False)), 0), False)), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), False)), 0), True)), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), True)), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), True)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), True))", + ], + ) # Compute symbolic result with symbolic inputs and symbolic weights symbolic_output = symbolic.apply(symbolic_weights, symbolic_input) # Check the form of the symbolic expression - assert numpy.array_equal(symbolic_output, ['numpy.logical_or(numpy.logical_or(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))', - 'numpy.logical_or(numpy.logical_or(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(False, 0)))', - 'numpy.logical_or(numpy.logical_or(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))', - 'numpy.logical_or(numpy.logical_or(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))']) + assert numpy.array_equal( + symbolic_output, + [ + "numpy.logical_or(numpy.logical_or(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))", + "numpy.logical_or(numpy.logical_or(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(False, 0)))", + "numpy.logical_or(numpy.logical_or(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))", + "numpy.logical_or(numpy.logical_or(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_or(numpy.logical_or(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))", + ], + ) diff --git a/tests/test_hard_xor.py b/tests/test_hard_xor.py index 8bf0b8f..01dae84 100644 --- a/tests/test_hard_xor.py +++ b/tests/test_hard_xor.py @@ -1,7 +1,6 @@ import jax import numpy import optax -from flax import linen as nn from flax.training import train_state from jax import random @@ -9,53 +8,36 @@ from tests import utils -def test_include(): - test_data = [ - [[1.0, 1.0], 1.0], - [[1.0, 0.0], 0.0], - [[0.0, 0.0], 0.0], - [[0.0, 1.0], 0.0], - [[1.1, 1.0], 1.0], - [[1.1, 0.0], 0.0], - [[-0.1, 0.0], 0.0], - [[-0.1, 1.0], 0.0] - ] - for input, expected in test_data: - utils.check_consistency(hard_xor.soft_xor_include, hard_xor.hard_xor_include, - expected, input[0], input[1]) - - def test_neuron(): test_data = [ [[1.0, 1.0], [1.0, 1.0], 0.0], [[0.0, 0.0], [1.0, 1.0], 0.0], [[1.0, 0.0], [1.0, 1.0], 1.0], [[0.0, 1.0], [1.0, 1.0], 1.0], - [[1.0, 1.0], [0.0, 1.0], 1.0], [[0.0, 0.0], [0.0, 1.0], 0.0], [[1.0, 0.0], [0.0, 1.0], 0.0], [[0.0, 1.0], [0.0, 1.0], 1.0], - [[1.0, 1.0], [1.0, 0.0], 1.0], [[0.0, 0.0], [1.0, 0.0], 0.0], [[1.0, 0.0], [1.0, 0.0], 1.0], [[0.0, 1.0], [1.0, 0.0], 0.0], - [[1.0, 1.0], [0.0, 0.0], 0.0], [[0.0, 0.0], [0.0, 0.0], 0.0], [[1.0, 0.0], [0.0, 0.0], 0.0], - [[0.0, 1.0], [0.0, 0.0], 0.0] + [[0.0, 1.0], [0.0, 0.0], 0.0], ] for input, weights, expected in test_data: + def soft(weights, input): return hard_xor.soft_xor_neuron(weights, input) def hard(weights, input): return hard_xor.hard_xor_neuron(weights, input) - utils.check_consistency(soft, hard, expected, - jax.numpy.array(weights), jax.numpy.array(input)) + utils.check_consistency( + soft, hard, expected, jax.numpy.array(weights), jax.numpy.array(input) + ) def test_layer(): @@ -63,38 +45,44 @@ def test_layer(): [ [1.0, 0.0], [[1.0, 1.0], [0.0, 1.0], [1.0, 0.0], [0.0, 0.2]], - [1.0, 0.0, 1.0, 0.0] + [1.0, 0.0, 1.0, 0.0], ], [ [1.0, 0.4], [[1.0, 1.0], [0.0, 1.0], [1.0, 0.0], [0.0, 0.0]], - [0.6, 0.39999998, 1.0, 0.0] + [0.6, 0.39999998, 1.0, 0.0], ], [ [0.0, 1.0], [[1.0, 1.0], [0.0, 0.8], [1.0, 0.0], [0.0, 0.0]], - [1.0, 0.8, 0.0, 0.0] + [1.0, 0.8, 0.0, 0.0], ], [ [0.0, 0.0], [[1.0, 0.01], [0.0, 1.0], [1.0, 0.0], [0.0, 0.0]], - [0.0, 0.0, 0.0, 0.0] + [0.0, 0.0, 0.0, 0.0], ], [ [0.8, 0.6], [[1.0, 1.0], [0.0, 1.0], [1.0, 0.0], [0.0, 0.0]], - [0.39999998, 0.6, 0.8, 0.0] - ] + [0.39999998, 0.6, 0.8, 0.0], + ], ] for input, weights, expected in test_data: + def soft(weights, input): return hard_xor.soft_xor_layer(weights, input) def hard(weights, input): return hard_xor.hard_xor_layer(weights, input) - utils.check_consistency(soft, hard, jax.numpy.array(expected), - jax.numpy.array(weights), jax.numpy.array(input)) + utils.check_consistency( + soft, + hard, + jax.numpy.array(expected), + jax.numpy.array(weights), + jax.numpy.array(input), + ) def test_xor(): @@ -108,22 +96,10 @@ def test_net(type, x): hard_weights = harden.hard_weights(weights) test_data = [ - [ - [1.0, 1.0], - [0.56627953, 0.5280515, 0.18560958, 0.7154212] - ], - [ - [1.0, 0.0], - [0.38767397, 0.99864066, 0.8143904, 0.17714691] - ], - [ - [0.0, 1.0], - [0.56627953, 0.4719485, 0.8841522, 0.7154212] - ], - [ - [0.0, 0.0], - [0.0, 0.0, 0.0, 0.0] - ] + [[1.0, 1.0], [0.56627953, 0.5280515, 0.18560958, 0.7154212]], + [[1.0, 0.0], [0.38767397, 0.99864066, 0.8143904, 0.17714691]], + [[0.0, 1.0], [0.56627953, 0.4719485, 0.8841522, 0.7154212]], + [[0.0, 0.0], [0.0, 0.0, 0.0, 0.0]], ] for input, expected in test_data: # Check that the soft function performs as expected @@ -159,17 +135,21 @@ def test_net(type, x): [0.0, 1.0, 1.0, 0.0], [1.0, 0.0, 1.0, 0.0], [1.0, 1.0, 0.0, 0.0], - [0.0, 0.0, 0.0, 0.0] + [0.0, 0.0, 0.0, 0.0], ] input = jax.numpy.array(x) output = jax.numpy.array(y) # Train the xor layer tx = optax.sgd(0.1) - state = train_state.TrainState.create(apply_fn=jax.vmap( - soft.apply, in_axes=(None, 0)), params=weights, tx=tx) - grad_fn = jax.jit(jax.value_and_grad(lambda params, x, - y: jax.numpy.mean((state.apply_fn(params, x) - y) ** 2))) + state = train_state.TrainState.create( + apply_fn=jax.vmap(soft.apply, in_axes=(None, 0)), params=weights, tx=tx + ) + grad_fn = jax.jit( + jax.value_and_grad( + lambda params, x, y: jax.numpy.mean((state.apply_fn(params, x) - y) ** 2) + ) + ) for epoch in range(1, 100): loss, grads = grad_fn(state.params, input, output) state = state.apply_gradients(grads=grads) @@ -213,27 +193,36 @@ def test_net(type, x): assert numpy.array_equal(symbolic_output, hard_result) # Compute symbolic result with symbolic inputs and symbolic weights, but where the symbols can be evaluated - symbolic_input = ['True', 'True'] + symbolic_input = ["True", "True"] symbolic_weights = utils.make_symbolic(hard_weights) symbolic_output = symbolic.apply(symbolic_weights, symbolic_input) - symbolic_output = symbolic_generation.eval_symbolic_expression( - symbolic_output) + symbolic_output = symbolic_generation.eval_symbolic_expression(symbolic_output) # Check that the symbolic result is the same as the hard result assert numpy.array_equal(symbolic_output, hard_result) # Compute symbolic result with symbolic inputs and non-symbolic weights - symbolic_input = ['x1', 'x2'] + symbolic_input = ["x1", "x2"] symbolic_output = symbolic.apply(hard_weights, symbolic_input) # Check the form of the symbolic expression - assert numpy.array_equal(symbolic_output, ['numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), True)), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), True)), numpy.logical_and(lax_reference.ne(x2, 0), False)), 0), True)), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), True)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), True)), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), True))', - 'numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), True)), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), True)), numpy.logical_and(lax_reference.ne(x2, 0), False)), 0), True)), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), True)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), False)), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), False))', - 'numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), False)), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), True)), numpy.logical_and(lax_reference.ne(x2, 0), False)), 0), False)), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), True)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), False)), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), True))', - 'numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), True)), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), True)), numpy.logical_and(lax_reference.ne(x2, 0), False)), 0), False)), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), True)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), False)), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), True))']) + assert numpy.array_equal( + symbolic_output, + [ + "numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), True)), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), True)), numpy.logical_and(lax_reference.ne(x2, 0), False)), 0), True)), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), True)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), True)), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), True))", + "numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), True)), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), True)), numpy.logical_and(lax_reference.ne(x2, 0), False)), 0), True)), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), True)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), False)), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), False))", + "numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), False)), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), True)), numpy.logical_and(lax_reference.ne(x2, 0), False)), 0), False)), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), True)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), False)), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), True))", + "numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), True)), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), True)), numpy.logical_and(lax_reference.ne(x2, 0), False)), 0), False)), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), True)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), False)), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), False)), numpy.logical_and(lax_reference.ne(x2, 0), True)), 0), True))", + ], + ) # Compute symbolic result with symbolic inputs and symbolic weights symbolic_output = symbolic.apply(symbolic_weights, symbolic_input) # Check the form of the symbolic expression - assert numpy.array_equal(symbolic_output, ['numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))', - 'numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(False, 0)))', - 'numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))', - 'numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))']) + assert numpy.array_equal( + symbolic_output, + [ + "numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))", + "numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(False, 0)))", + "numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))", + "numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(numpy.logical_xor(numpy.logical_xor(False, numpy.logical_and(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), numpy.logical_and(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))", + ], + ) diff --git a/tests/test_mnist.py b/tests/test_mnist.py index ed803cb..e74a748 100644 --- a/tests/test_mnist.py +++ b/tests/test_mnist.py @@ -3,7 +3,6 @@ import ml_collections import numpy as np import optax -import pytest import tensorflow as tf import tensorflow_datasets as tfds from flax import linen as nn From 2b30340c35a11aad5aa1275009d55979040890e6 Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Mon, 30 Jan 2023 11:08:45 +0000 Subject: [PATCH 013/128] more tests for mask layers --- neurallogic/hard_masks.py | 100 +++++++++++++++- tests/test_hard_masks.py | 238 +++++++++++++++++++++++++++++++++++++- tests/test_hard_not.py | 147 +++++++++++------------ tests/utils.py | 8 +- 4 files changed, 413 insertions(+), 80 deletions(-) diff --git a/neurallogic/hard_masks.py b/neurallogic/hard_masks.py index c75b646..702ac61 100644 --- a/neurallogic/hard_masks.py +++ b/neurallogic/hard_masks.py @@ -1,9 +1,14 @@ +from typing import Callable + import jax +from flax import linen as nn + +from neurallogic import neural_logic_net, symbolic_generation def soft_mask_to_true(w: float, x: float) -> float: """ - w > 0.5 implies the and operation is active, else inactive + w > 0.5 implies the mask operation is inactive, else active Assumes x is in [0, 1] @@ -17,9 +22,19 @@ def hard_mask_to_true(w, x): return jax.numpy.logical_or(x, jax.numpy.logical_not(w)) +soft_mask_to_true_neuron = jax.vmap(soft_mask_to_true, 0, 0) + +hard_mask_to_true_neuron = jax.vmap(hard_mask_to_true, 0, 0) + + +soft_mask_to_true_layer = jax.vmap(soft_mask_to_true_neuron, (0, None), 0) + +hard_mask_to_true_layer = jax.vmap(hard_mask_to_true_neuron, (0, None), 0) + + def soft_mask_to_false(w: float, x: float) -> float: """ - w > 0.5 implies the and operation is active, else inactive + w > 0.5 implies the mask is inactive, else active Assumes x is in [0, 1] @@ -31,3 +46,84 @@ def soft_mask_to_false(w: float, x: float) -> float: def hard_mask_to_false(w, x): return jax.numpy.logical_and(x, w) + + +soft_mask_to_false_neuron = jax.vmap(soft_mask_to_false, 0, 0) + +hard_mask_to_false_neuron = jax.vmap(hard_mask_to_false, 0, 0) + + +soft_mask_to_false_layer = jax.vmap(soft_mask_to_false_neuron, (0, None), 0) + +hard_mask_to_false_layer = jax.vmap(hard_mask_to_false_neuron, (0, None), 0) + + +class SoftMaskLayer(nn.Module): + mask_layer_operation: Callable + layer_size: int + weights_init: Callable = nn.initializers.uniform(1.0) + dtype: jax.numpy.dtype = jax.numpy.float32 + + @nn.compact + def __call__(self, x): + weights_shape = (self.layer_size, jax.numpy.shape(x)[-1]) + weights = self.param( + "bit_weights", self.weights_init, weights_shape, self.dtype + ) + x = jax.numpy.asarray(x, self.dtype) + return self.mask_layer_operation(weights, x) + + +class HardMaskLayer(nn.Module): + mask_layer_operation: Callable + layer_size: int + weights_init: Callable = nn.initializers.constant(True) + + @nn.compact + def __call__(self, x): + weights_shape = (self.layer_size, jax.numpy.shape(x)[-1]) + weights = self.param("bit_weights", self.weights_init, weights_shape) + return self.mask_layer_operation(weights, x) + + +class SymbolicMaskLayer: + def __init__(self, mask_layer): + self.hard_mask_layer = mask_layer + + def __call__(self, x): + jaxpr = symbolic_generation.make_symbolic_flax_jaxpr(self.hard_mask_layer, x) + return symbolic_generation.symbolic_expression(jaxpr, x) + + +mask_to_true_layer = neural_logic_net.select( + lambda layer_size, weights_init=nn.initializers.uniform( + 1.0 + ), dtype=jax.numpy.float32: SoftMaskLayer( + soft_mask_to_true_layer, layer_size, weights_init, dtype + ), + lambda layer_size, weights_init=nn.initializers.uniform( + 1.0 + ), dtype=jax.numpy.float32: HardMaskLayer(hard_mask_to_true_layer, layer_size), + lambda layer_size, weights_init=nn.initializers.uniform( + 1.0 + ), dtype=jax.numpy.float32: SymbolicMaskLayer( + HardMaskLayer(hard_mask_to_true_layer, layer_size) + ), +) + + +mask_to_false_layer = neural_logic_net.select( + lambda layer_size, weights_init=nn.initializers.uniform( + 1.0 + ), dtype=jax.numpy.float32: SoftMaskLayer( + soft_mask_to_false_layer, layer_size, weights_init, dtype + ), + lambda layer_size, weights_init=nn.initializers.uniform( + 1.0 + ), dtype=jax.numpy.float32: HardMaskLayer(hard_mask_to_false_layer, layer_size), + lambda layer_size, weights_init=nn.initializers.uniform( + 1.0 + ), dtype=jax.numpy.float32: SymbolicMaskLayer( + HardMaskLayer(hard_mask_to_false_layer, layer_size) + ), +) diff --git a/tests/test_hard_masks.py b/tests/test_hard_masks.py index dcb2bae..9768c6c 100644 --- a/tests/test_hard_masks.py +++ b/tests/test_hard_masks.py @@ -1,4 +1,8 @@ -from neurallogic import hard_masks +import jax +import numpy +from jax import random + +from neurallogic import hard_masks, harden, neural_logic_net from tests import utils @@ -23,6 +27,122 @@ def test_mask_to_true(): ) +def test_mask_to_true_neuron(): + test_data = [ + [[1.0, 1.0], [1.0, 1.0], [1.0, 1.0]], + [[0.0, 0.0], [0.0, 0.0], [1.0, 1.0]], + [[1.0, 0.0], [0.0, 1.0], [1.0, 0.0]], + [[0.0, 1.0], [1.0, 0.0], [0.0, 1.0]], + [[0.0, 1.0], [0.0, 0.0], [1.0, 1.0]], + [[0.0, 1.0], [1.0, 1.0], [0.0, 1.0]], + ] + for input, weights, expected in test_data: + + def soft(weights, input): + return hard_masks.soft_mask_to_true_neuron(weights, input) + + def hard(weights, input): + return hard_masks.hard_mask_to_true_neuron(weights, input) + + utils.check_consistency( + soft, hard, expected, jax.numpy.array(weights), jax.numpy.array(input) + ) + + +def test_mask_to_true_layer(): + test_data = [ + [ + [1.0, 0.0], + [[1.0, 1.0], [0.0, 1.0], [1.0, 0.0], [0.0, 0.2]], + [[1.0, 0.0], [1.0, 0.0], [1.0, 1.0], [1.0, 0.8]], + ], + [ + [1.0, 0.4], + [[1.0, 1.0], [0.0, 1.0], [1.0, 0.0], [0.0, 0.0]], + [[1.0, 0.4], [1.0, 0.4], [1.0, 1.0], [1.0, 1.0]], + ], + [ + [0.0, 1.0], + [[1.0, 1.0], [0.0, 0.8], [1.0, 0.0], [0.0, 0.0]], + [[0.0, 1.0], [1.0, 1.0], [0.0, 1.0], [1.0, 1.0]], + ], + [ + [0.0, 0.0], + [[1.0, 0.01], [0.0, 1.0], [1.0, 0.0], [0.0, 0.0]], + [[0.0, 0.99], [1.0, 0.0], [0.0, 1.0], [1.0, 1.0]], + ], + ] + for input, weights, expected in test_data: + + def soft(weights, input): + return hard_masks.soft_mask_to_true_layer(weights, input) + + def hard(weights, input): + return hard_masks.hard_mask_to_true_layer(weights, input) + + utils.check_consistency( + soft, + hard, + jax.numpy.array(expected), + jax.numpy.array(weights), + jax.numpy.array(input), + ) + + +def test_mask_to_true(): + def test_net(type, x): + x = hard_masks.mask_to_true_layer(type)(4)(x) + x = x.ravel() + return x + + soft, hard, symbolic = neural_logic_net.net(test_net) + weights = soft.init(random.PRNGKey(0), [0.0, 0.0]) + hard_weights = harden.hard_weights(weights) + + test_data = [ + [ + [1.0, 1.0], + [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], + ], + [ + [1.0, 0.0], + [1.0, 0.17739451, 1.0, 0.77752244, 1.0, 0.11280203, 1.0, 0.43465567], + ], + [ + [0.0, 1.0], + [0.6201445, 1.0, 0.7178699, 1.0, 0.29197645, 1.0, 0.41213453, 1.0], + ], + [ + [0.0, 0.0], + [ + 0.6201445, + 0.17739451, + 0.7178699, + 0.77752244, + 0.29197645, + 0.11280203, + 0.41213453, + 0.43465567, + ], + ], + ] + for input, expected in test_data: + # Check that the soft function performs as expected + soft_output = soft.apply(weights, jax.numpy.array(input)) + expected_output = jax.numpy.array(expected) + assert jax.numpy.allclose(soft_output, expected_output) + + # Check that the hard function performs as expected + hard_input = harden.harden(jax.numpy.array(input)) + hard_expected = harden.harden(jax.numpy.array(expected)) + hard_output = hard.apply(hard_weights, hard_input) + assert jax.numpy.allclose(hard_output, hard_expected) + + # Check that the symbolic function performs as expected + symbolic_output = symbolic.apply(hard_weights, hard_input) + assert numpy.allclose(symbolic_output, hard_expected) + + def test_mask_to_false(): test_data = [ [[1.0, 1.0], 1.0], @@ -42,3 +162,119 @@ def test_mask_to_false(): input[0], input[1], ) + + +def test_mask_to_false_neuron(): + test_data = [ + [[1.0, 1.0], [1.0, 1.0], [1.0, 1.0]], + [[0.0, 0.0], [0.0, 0.0], [0.0, 0.0]], + [[1.0, 0.0], [0.0, 1.0], [0.0, 0.0]], + [[0.0, 1.0], [1.0, 0.0], [0.0, 0.0]], + [[0.0, 1.0], [0.0, 0.0], [0.0, 0.0]], + [[0.0, 1.0], [1.0, 1.0], [0.0, 1.0]], + ] + for input, weights, expected in test_data: + + def soft(weights, input): + return hard_masks.soft_mask_to_false_neuron(weights, input) + + def hard(weights, input): + return hard_masks.hard_mask_to_false_neuron(weights, input) + + utils.check_consistency( + soft, hard, expected, jax.numpy.array(weights), jax.numpy.array(input) + ) + + +def test_mask_to_false_layer(): + test_data = [ + [ + [1.0, 0.0], + [[1.0, 1.0], [0.0, 1.0], [1.0, 0.0], [0.0, 0.2]], + [[1.0, 0.0], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0]], + ], + [ + [1.0, 0.4], + [[1.0, 1.0], [0.0, 1.0], [1.0, 0.0], [0.0, 0.0]], + [[1.0, 0.39999998], [0.0, 0.39999998], [1.0, 0.0], [0.0, 0.0]], + ], + [ + [0.0, 1.0], + [[1.0, 1.0], [0.0, 0.8], [1.0, 0.0], [0.0, 0.0]], + [[0.0, 1.0], [0.0, 0.8], [0.0, 0.0], [0.0, 0.0]], + ], + [ + [0.0, 0.0], + [[1.0, 0.01], [0.0, 1.0], [1.0, 0.0], [0.0, 0.0]], + [[0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0]], + ], + ] + for input, weights, expected in test_data: + + def soft(weights, input): + return hard_masks.soft_mask_to_false_layer(weights, input) + + def hard(weights, input): + return hard_masks.hard_mask_to_false_layer(weights, input) + + utils.check_consistency( + soft, + hard, + jax.numpy.array(expected), + jax.numpy.array(weights), + jax.numpy.array(input), + ) + + +def test_mask_to_false(): + def test_net(type, x): + x = hard_masks.mask_to_false_layer(type)(4)(x) + x = x.ravel() + return x + + soft, hard, symbolic = neural_logic_net.net(test_net) + weights = soft.init(random.PRNGKey(0), [0.0, 0.0]) + hard_weights = harden.hard_weights(weights) + + test_data = [ + [ + [1.0, 1.0], + [ + 0.3798555, + 0.8226055, + 0.28213012, + 0.22247756, + 0.70802355, + 0.887198, + 0.5878655, + 0.56534433, + ], + ], + [ + [1.0, 0.0], + [0.3798555, 0.0, 0.28213012, 0.0, 0.70802355, 0.0, 0.5878655, 0.0], + ], + [ + [0.0, 1.0], + [0.0, 0.8226055, 0.0, 0.22247756, 0.0, 0.887198, 0.0, 0.56534433] + ], + [ + [0.0, 0.0], + [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], + ], + ] + for input, expected in test_data: + # Check that the soft function performs as expected + soft_output = soft.apply(weights, jax.numpy.array(input)) + expected_output = jax.numpy.array(expected) + assert jax.numpy.allclose(soft_output, expected_output) + + # Check that the hard function performs as expected + hard_input = harden.harden(jax.numpy.array(input)) + hard_expected = harden.harden(jax.numpy.array(expected)) + hard_output = hard.apply(hard_weights, hard_input) + assert jax.numpy.allclose(hard_output, hard_expected) + + # Check that the symbolic function performs as expected + symbolic_output = symbolic.apply(hard_weights, hard_input) + assert numpy.allclose(symbolic_output, hard_expected) diff --git a/tests/test_hard_not.py b/tests/test_hard_not.py index 37ddaa9..faf362e 100644 --- a/tests/test_hard_not.py +++ b/tests/test_hard_not.py @@ -38,14 +38,13 @@ def test_neuron(): for input, weights, expected in test_data: def soft(weights, input): - return hard_not.hard_not_neuron(weights, input) + return hard_not.soft_not_neuron(weights, input) def hard(weights, input): return hard_not.hard_not_neuron(weights, input) utils.check_consistency( - soft, hard, expected, jax.numpy.array( - weights), jax.numpy.array(input) + soft, hard, expected, jax.numpy.array(weights), jax.numpy.array(input) ) @@ -156,8 +155,7 @@ def test_net(type, x): for input, expected in test_data: # Check that the soft function performs as expected assert jax.numpy.allclose( - soft.apply(weights, jax.numpy.array( - input)), jax.numpy.array(expected) + soft.apply(weights, jax.numpy.array(input)), jax.numpy.array(expected) ) # Check that the hard function performs as expected @@ -200,8 +198,7 @@ def test_net(type, x): ) grad_fn = jax.jit( jax.value_and_grad( - lambda params, x, y: jax.numpy.mean( - (state.apply_fn(params, x) - y) ** 2) + lambda params, x, y: jax.numpy.mean((state.apply_fn(params, x) - y) ** 2) ) ) for epoch in range(1, 100): @@ -252,8 +249,7 @@ def test_net(type, x): symbolic_input = ["True", "False"] symbolic_weights = utils.make_symbolic(hard_weights) symbolic_output = symbolic.apply(symbolic_weights, symbolic_input) - symbolic_output = symbolic_generation.eval_symbolic_expression( - symbolic_output) + symbolic_output = symbolic_generation.eval_symbolic_expression(symbolic_output) # Check that the symbolic result is the same as the hard result assert numpy.array_equal(symbolic_output, hard_result) @@ -262,38 +258,41 @@ def test_net(type, x): symbolic_output = symbolic.apply(hard_weights, symbolic_input) # Check the form of the symbolic expression assert numpy.array_equal( - symbolic_output, ['numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), True)), 0), True))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), True)), 0), True))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), False)), 0), False))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), False)), 0), False))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), True)), 0), False))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), True)), 0), True))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), False)), 0), False))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), False)), 0), False))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), True)), 0), True))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), True)), 0), False))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), False)), 0), True))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), False)), 0), True))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), True)), 0), False))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), True)), 0), False))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), False)), 0), True))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), False)), 0), True))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), True)), 0), False))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), True)), 0), True))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), False)), 0), False))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), False)), 0), False))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), True)), 0), True))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), True)), 0), True))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), False)), 0), False))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), False)), 0), True))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), True)), 0), True))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), True)), 0), False))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), False)), 0), False))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), False)), 0), False))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), True)), 0), False))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), True)), 0), True))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), False)), 0), False))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), False)), 0), False))'] + symbolic_output, + [ + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), True)), 0), True))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), True)), 0), True))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), False)), 0), False))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), False)), 0), False))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), True)), 0), False))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), True)), 0), True))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), False)), 0), False))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), False)), 0), False))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), True)), 0), True))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), True)), 0), False))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), False)), 0), True))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), False)), 0), True))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), True)), 0), False))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), True)), 0), False))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), False)), 0), True))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), False)), 0), True))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), True)), 0), False))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), True)), 0), True))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), False)), 0), False))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), False)), 0), False))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), True)), 0), True))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), True)), 0), True))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), False)), 0), False))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), False)), 0), True))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), True)), 0), True))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), True)), 0), False))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), False)), 0), False))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), False)), 0), False))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), True)), 0), False))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), True)), 0), True))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), False)), 0), False))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), False)), 0), False))", + ], ) # Compute symbolic result with symbolic inputs and symbolic weights @@ -301,36 +300,38 @@ def test_net(type, x): # Check the form of the symbolic expression assert numpy.array_equal( symbolic_output, - ['numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(False, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(False, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(True, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(True, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(False, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(False, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(True, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(True, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(False, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(True, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(False, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(False, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0)))', - 'numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0)))'] + [ + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(False, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(False, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(True, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(True, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(False, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(False, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(True, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(True, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(False, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(True, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(False, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(False, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(True, 0))), 0), lax_reference.ne(True, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x1, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0)))", + "numpy.logical_not(numpy.logical_xor(lax_reference.ne(numpy.logical_not(numpy.logical_xor(lax_reference.ne(x2, 0), lax_reference.ne(False, 0))), 0), lax_reference.ne(False, 0)))", + ], ) diff --git a/tests/utils.py b/tests/utils.py index 602b8ea..1f2a41e 100644 --- a/tests/utils.py +++ b/tests/utils.py @@ -72,21 +72,21 @@ def make_symbolic(*args): def check_consistency(soft: Callable, hard: Callable, expected, *args): - #print(f'\nchecking consistency for {soft.__name__}') + # print(f'\nchecking consistency for {soft.__name__}') # Check that the soft function performs as expected soft_output = soft(*args) - #print(f'Expected: {expected}, Actual soft_output: {soft_output}') + # print(f'Expected: {expected}, Actual soft_output: {repr(soft_output)}') assert numpy.allclose(soft_output, expected, equal_nan=True) # Check that the hard function performs as expected hard_args = tuple([harden.harden(arg) for arg in args]) hard_expected = harden.harden(expected) hard_output = hard(*hard_args) - #print(f'Expected: {hard_expected}, Actual hard_output: {hard_output}') + # print(f'Expected: {hard_expected}, Actual hard_output: {repr(hard_output)}') assert numpy.allclose(hard_output, hard_expected, equal_nan=True) # Check that the jaxpr performs as expected symbolic_f = symbolic_generation.make_symbolic_jaxpr(hard, *hard_args) symbolic_output = symbolic_generation.eval_symbolic(symbolic_f, *hard_args) - #print(f'Expected: {hard_expected}, Actual symbolic_output: {symbolic_output}') + # print(f'Expected: {hard_expected}, Actual symbolic_output: {repr(symbolic_output)}') assert numpy.allclose(symbolic_output, hard_expected, equal_nan=True) From 48d58e112faebb3f5d7aa41e79b836a8b3239911 Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Mon, 30 Jan 2023 14:19:47 +0000 Subject: [PATCH 014/128] experiment with mask and majority --- tests/test_hard_not.py | 1 - tests/test_mnist.py | 24 ++++++++++++++++++++++-- 2 files changed, 22 insertions(+), 3 deletions(-) diff --git a/tests/test_hard_not.py b/tests/test_hard_not.py index faf362e..b8025d4 100644 --- a/tests/test_hard_not.py +++ b/tests/test_hard_not.py @@ -1,5 +1,4 @@ import jax -import jax.numpy as jnp import numpy import optax from flax.training import train_state diff --git a/tests/test_mnist.py b/tests/test_mnist.py index e74a748..6d0143e 100644 --- a/tests/test_mnist.py +++ b/tests/test_mnist.py @@ -18,6 +18,7 @@ hard_not, hard_or, hard_xor, + hard_masks, harden, harden_layer, neural_logic_net, @@ -89,7 +90,7 @@ def check_symbolic(nets, datasets, trained_state, dropout_rng): print("symbolic_output", symbolic_output[0][:10000]) -def nln(type, x, training: bool): +def nln_1(type, x, training: bool): num_classes = 10 x = hard_or.or_layer(type)( @@ -125,6 +126,23 @@ def nln_experimental(type, x, training: bool): return x +def nln(type, x, training: bool): + input_size = 784 + mask_layer_size = 10 + dtype = jax.numpy.float32 + x = hard_masks.mask_to_true_layer(type)(mask_layer_size, dtype=dtype)(x) + x = x.reshape((int(mask_layer_size * 98), int(input_size / 98))) + x = hard_majority.majority_layer(type)()(x) + x = hard_not.not_layer(type)(20, dtype=dtype)(x) + x = x.ravel() + ############################## + x = harden_layer.harden_layer(type)(x) + num_classes = 10 + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) + return x + + def batch_nln(type, x, training: bool): return jax.vmap(lambda x: nln(type, x, training))(x) @@ -299,13 +317,15 @@ def apply_hard_model_to_images(state, images, labels): def get_config(): config = ml_collections.ConfigDict() # config for CNN: config.learning_rate = 0.01 - config.learning_rate = 0.1 + config.learning_rate = 0.01 config.momentum = 0.9 config.batch_size = 128 config.num_epochs = 2 return config +# TODO: check my use of rng + # @pytest.mark.skip(reason="temporarily off") def test_mnist(): # Make sure tf does not allocate gpu memory. From 27434a86c841365a59d27e44cc480bd6bcfb0b68 Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Tue, 31 Jan 2023 09:15:52 +0000 Subject: [PATCH 015/128] iris data --- tests/data/iris.data | 150 +++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 150 insertions(+) create mode 100644 tests/data/iris.data diff --git a/tests/data/iris.data b/tests/data/iris.data new file mode 100644 index 0000000..a3490e0 --- /dev/null +++ b/tests/data/iris.data @@ -0,0 +1,150 @@ +5.1,3.5,1.4,0.2,Iris-setosa +4.9,3.0,1.4,0.2,Iris-setosa +4.7,3.2,1.3,0.2,Iris-setosa +4.6,3.1,1.5,0.2,Iris-setosa +5.0,3.6,1.4,0.2,Iris-setosa +5.4,3.9,1.7,0.4,Iris-setosa +4.6,3.4,1.4,0.3,Iris-setosa +5.0,3.4,1.5,0.2,Iris-setosa +4.4,2.9,1.4,0.2,Iris-setosa +4.9,3.1,1.5,0.1,Iris-setosa +5.4,3.7,1.5,0.2,Iris-setosa +4.8,3.4,1.6,0.2,Iris-setosa +4.8,3.0,1.4,0.1,Iris-setosa +4.3,3.0,1.1,0.1,Iris-setosa +5.8,4.0,1.2,0.2,Iris-setosa +5.7,4.4,1.5,0.4,Iris-setosa +5.4,3.9,1.3,0.4,Iris-setosa +5.1,3.5,1.4,0.3,Iris-setosa +5.7,3.8,1.7,0.3,Iris-setosa +5.1,3.8,1.5,0.3,Iris-setosa +5.4,3.4,1.7,0.2,Iris-setosa +5.1,3.7,1.5,0.4,Iris-setosa +4.6,3.6,1.0,0.2,Iris-setosa +5.1,3.3,1.7,0.5,Iris-setosa +4.8,3.4,1.9,0.2,Iris-setosa +5.0,3.0,1.6,0.2,Iris-setosa +5.0,3.4,1.6,0.4,Iris-setosa +5.2,3.5,1.5,0.2,Iris-setosa +5.2,3.4,1.4,0.2,Iris-setosa +4.7,3.2,1.6,0.2,Iris-setosa +4.8,3.1,1.6,0.2,Iris-setosa +5.4,3.4,1.5,0.4,Iris-setosa +5.2,4.1,1.5,0.1,Iris-setosa +5.5,4.2,1.4,0.2,Iris-setosa +4.9,3.1,1.5,0.1,Iris-setosa +5.0,3.2,1.2,0.2,Iris-setosa +5.5,3.5,1.3,0.2,Iris-setosa +4.9,3.1,1.5,0.1,Iris-setosa +4.4,3.0,1.3,0.2,Iris-setosa +5.1,3.4,1.5,0.2,Iris-setosa +5.0,3.5,1.3,0.3,Iris-setosa +4.5,2.3,1.3,0.3,Iris-setosa +4.4,3.2,1.3,0.2,Iris-setosa +5.0,3.5,1.6,0.6,Iris-setosa +5.1,3.8,1.9,0.4,Iris-setosa +4.8,3.0,1.4,0.3,Iris-setosa +5.1,3.8,1.6,0.2,Iris-setosa +4.6,3.2,1.4,0.2,Iris-setosa +5.3,3.7,1.5,0.2,Iris-setosa +5.0,3.3,1.4,0.2,Iris-setosa +7.0,3.2,4.7,1.4,Iris-versicolor +6.4,3.2,4.5,1.5,Iris-versicolor +6.9,3.1,4.9,1.5,Iris-versicolor +5.5,2.3,4.0,1.3,Iris-versicolor +6.5,2.8,4.6,1.5,Iris-versicolor +5.7,2.8,4.5,1.3,Iris-versicolor +6.3,3.3,4.7,1.6,Iris-versicolor +4.9,2.4,3.3,1.0,Iris-versicolor +6.6,2.9,4.6,1.3,Iris-versicolor +5.2,2.7,3.9,1.4,Iris-versicolor +5.0,2.0,3.5,1.0,Iris-versicolor +5.9,3.0,4.2,1.5,Iris-versicolor +6.0,2.2,4.0,1.0,Iris-versicolor +6.1,2.9,4.7,1.4,Iris-versicolor +5.6,2.9,3.6,1.3,Iris-versicolor +6.7,3.1,4.4,1.4,Iris-versicolor +5.6,3.0,4.5,1.5,Iris-versicolor +5.8,2.7,4.1,1.0,Iris-versicolor +6.2,2.2,4.5,1.5,Iris-versicolor +5.6,2.5,3.9,1.1,Iris-versicolor +5.9,3.2,4.8,1.8,Iris-versicolor +6.1,2.8,4.0,1.3,Iris-versicolor +6.3,2.5,4.9,1.5,Iris-versicolor +6.1,2.8,4.7,1.2,Iris-versicolor +6.4,2.9,4.3,1.3,Iris-versicolor +6.6,3.0,4.4,1.4,Iris-versicolor +6.8,2.8,4.8,1.4,Iris-versicolor +6.7,3.0,5.0,1.7,Iris-versicolor +6.0,2.9,4.5,1.5,Iris-versicolor +5.7,2.6,3.5,1.0,Iris-versicolor +5.5,2.4,3.8,1.1,Iris-versicolor +5.5,2.4,3.7,1.0,Iris-versicolor +5.8,2.7,3.9,1.2,Iris-versicolor +6.0,2.7,5.1,1.6,Iris-versicolor +5.4,3.0,4.5,1.5,Iris-versicolor +6.0,3.4,4.5,1.6,Iris-versicolor +6.7,3.1,4.7,1.5,Iris-versicolor +6.3,2.3,4.4,1.3,Iris-versicolor +5.6,3.0,4.1,1.3,Iris-versicolor +5.5,2.5,4.0,1.3,Iris-versicolor +5.5,2.6,4.4,1.2,Iris-versicolor +6.1,3.0,4.6,1.4,Iris-versicolor +5.8,2.6,4.0,1.2,Iris-versicolor +5.0,2.3,3.3,1.0,Iris-versicolor +5.6,2.7,4.2,1.3,Iris-versicolor +5.7,3.0,4.2,1.2,Iris-versicolor +5.7,2.9,4.2,1.3,Iris-versicolor +6.2,2.9,4.3,1.3,Iris-versicolor +5.1,2.5,3.0,1.1,Iris-versicolor +5.7,2.8,4.1,1.3,Iris-versicolor +6.3,3.3,6.0,2.5,Iris-virginica +5.8,2.7,5.1,1.9,Iris-virginica +7.1,3.0,5.9,2.1,Iris-virginica +6.3,2.9,5.6,1.8,Iris-virginica +6.5,3.0,5.8,2.2,Iris-virginica +7.6,3.0,6.6,2.1,Iris-virginica +4.9,2.5,4.5,1.7,Iris-virginica +7.3,2.9,6.3,1.8,Iris-virginica +6.7,2.5,5.8,1.8,Iris-virginica +7.2,3.6,6.1,2.5,Iris-virginica +6.5,3.2,5.1,2.0,Iris-virginica +6.4,2.7,5.3,1.9,Iris-virginica +6.8,3.0,5.5,2.1,Iris-virginica +5.7,2.5,5.0,2.0,Iris-virginica +5.8,2.8,5.1,2.4,Iris-virginica +6.4,3.2,5.3,2.3,Iris-virginica +6.5,3.0,5.5,1.8,Iris-virginica +7.7,3.8,6.7,2.2,Iris-virginica +7.7,2.6,6.9,2.3,Iris-virginica +6.0,2.2,5.0,1.5,Iris-virginica +6.9,3.2,5.7,2.3,Iris-virginica +5.6,2.8,4.9,2.0,Iris-virginica +7.7,2.8,6.7,2.0,Iris-virginica +6.3,2.7,4.9,1.8,Iris-virginica +6.7,3.3,5.7,2.1,Iris-virginica +7.2,3.2,6.0,1.8,Iris-virginica +6.2,2.8,4.8,1.8,Iris-virginica +6.1,3.0,4.9,1.8,Iris-virginica +6.4,2.8,5.6,2.1,Iris-virginica +7.2,3.0,5.8,1.6,Iris-virginica +7.4,2.8,6.1,1.9,Iris-virginica +7.9,3.8,6.4,2.0,Iris-virginica +6.4,2.8,5.6,2.2,Iris-virginica +6.3,2.8,5.1,1.5,Iris-virginica +6.1,2.6,5.6,1.4,Iris-virginica +7.7,3.0,6.1,2.3,Iris-virginica +6.3,3.4,5.6,2.4,Iris-virginica +6.4,3.1,5.5,1.8,Iris-virginica +6.0,3.0,4.8,1.8,Iris-virginica +6.9,3.1,5.4,2.1,Iris-virginica +6.7,3.1,5.6,2.4,Iris-virginica +6.9,3.1,5.1,2.3,Iris-virginica +5.8,2.7,5.1,1.9,Iris-virginica +6.8,3.2,5.9,2.3,Iris-virginica +6.7,3.3,5.7,2.5,Iris-virginica +6.7,3.0,5.2,2.3,Iris-virginica +6.3,2.5,5.0,1.9,Iris-virginica +6.5,3.0,5.2,2.0,Iris-virginica +6.2,3.4,5.4,2.3,Iris-virginica +5.9,3.0,5.1,1.8,Iris-virginica From d6831ac0e42e8b75695e74beaf0efc380778a83a Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Tue, 31 Jan 2023 10:38:40 +0000 Subject: [PATCH 016/128] first version of learning iris --- tests/data/BinaryIrisData.txt | 150 +++++++++++++++++ tests/test_iris.py | 302 ++++++++++++++++++++++++++++++++++ 2 files changed, 452 insertions(+) create mode 100644 tests/data/BinaryIrisData.txt create mode 100644 tests/test_iris.py diff --git a/tests/data/BinaryIrisData.txt b/tests/data/BinaryIrisData.txt new file mode 100644 index 0000000..430f463 --- /dev/null +++ b/tests/data/BinaryIrisData.txt @@ -0,0 +1,150 @@ +0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 +0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 +0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 +0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 1 0 0 0 0 0 +0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 +0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 +0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 1 0 0 0 0 0 +0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 +0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 1 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 1 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 +0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 1 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 1 0 0 0 0 0 +0 0 1 1 0 0 0 1 0 0 0 1 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 1 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 +0 0 1 0 0 0 1 0 0 0 0 1 0 0 0 0 0 +0 0 1 1 0 0 0 1 0 0 0 1 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 +0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 +0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 +0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 +0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 +0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 1 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 1 0 0 0 0 0 +0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 1 0 0 0 0 0 +0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 +0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 +0 1 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 +0 1 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 +0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 1 0 0 0 1 0 0 0 0 1 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 1 0 0 0 1 1 0 0 0 1 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 1 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 1 +0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 1 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 1 0 0 0 1 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 1 0 0 0 1 0 0 0 0 1 1 +0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 0 1 0 0 0 0 1 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 +0 0 1 1 0 0 1 0 0 0 1 1 0 0 0 1 2 +0 0 1 1 0 0 0 1 0 0 1 1 0 0 0 1 2 +0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 1 2 +0 0 1 1 0 0 0 1 0 0 1 1 0 0 0 1 2 +0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 1 2 +0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 1 2 +0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 1 2 +0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 1 2 +0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 1 2 +0 1 0 0 0 0 1 0 0 0 1 1 0 0 0 1 2 +0 1 0 0 0 0 1 0 0 0 1 1 0 0 0 1 2 +0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 1 2 +0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 1 2 +0 0 1 1 0 0 0 1 0 0 1 1 0 0 0 1 2 +0 0 1 1 0 0 0 1 0 0 1 1 0 0 0 1 2 +0 1 0 0 0 0 1 0 0 0 1 1 0 0 0 1 2 +0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 1 2 +0 1 0 0 0 0 1 0 0 1 0 0 0 0 0 1 2 +0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 1 2 +0 0 1 1 0 0 0 1 0 0 1 1 0 0 0 0 2 +0 1 0 0 0 0 1 0 0 0 1 1 0 0 0 1 2 +0 0 1 1 0 0 0 1 0 0 1 1 0 0 0 1 2 +0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 1 2 +0 0 1 1 0 0 0 1 0 0 1 1 0 0 0 1 2 +0 1 0 0 0 0 1 0 0 0 1 1 0 0 0 1 2 +0 1 0 0 0 0 1 0 0 0 1 1 0 0 0 1 2 +0 0 1 1 0 0 0 1 0 0 1 1 0 0 0 1 2 +0 0 1 1 0 0 0 1 0 0 1 1 0 0 0 1 2 +0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 1 2 +0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 1 2 +0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 1 2 +0 1 0 0 0 0 1 0 0 1 0 0 0 0 0 1 2 +0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 1 2 +0 0 1 1 0 0 0 1 0 0 1 1 0 0 0 0 2 +0 0 1 1 0 0 0 1 0 0 1 1 0 0 0 0 2 +0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 1 2 +0 0 1 1 0 0 1 0 0 0 1 1 0 0 0 1 2 +0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 1 2 +0 0 1 1 0 0 0 1 0 0 1 1 0 0 0 1 2 +0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 1 2 +0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 1 2 +0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 1 2 +0 0 1 1 0 0 0 1 0 0 1 1 0 0 0 1 2 +0 1 0 0 0 0 1 0 0 0 1 1 0 0 0 1 2 +0 1 0 0 0 0 1 0 0 0 1 1 0 0 0 1 2 +0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 1 2 +0 0 1 1 0 0 0 1 0 0 1 1 0 0 0 1 2 +0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 1 2 +0 0 1 1 0 0 1 0 0 0 1 1 0 0 0 1 2 +0 0 1 1 0 0 0 1 0 0 1 1 0 0 0 1 2 \ No newline at end of file diff --git a/tests/test_iris.py b/tests/test_iris.py new file mode 100644 index 0000000..375d0ae --- /dev/null +++ b/tests/test_iris.py @@ -0,0 +1,302 @@ +from pathlib import Path + +import jax +import ml_collections +import numpy +import optax +from flax.training import train_state +from tqdm import tqdm + +from neurallogic import ( + hard_and, + hard_majority, + hard_not, + hard_or, + hard_xor, + hard_dropout, + hard_masks, + real_encoder, + harden, + harden_layer, + neural_logic_net, +) +from tests import utils + + +def check_symbolic(nets, data, trained_state): + x_training, y_training, x_test, y_test = get_train_and_test_data(data) + _, hard, symbolic = nets + _, test_loss, test_accuracy = apply_model_with_grad(trained_state, x_test, y_test) + print( + "soft_net: final test_loss: %.4f, final test_accuracy: %.2f" + % (test_loss, test_accuracy * 100) + ) + hard_weights = harden.hard_weights(trained_state.params) + hard_trained_state = train_state.TrainState.create( + apply_fn=hard.apply, params=hard_weights, tx=optax.sgd(1.0, 1.0) + ) + hard_input = harden.harden(x_test) + hard_test_accuracy = apply_hard_model(hard_trained_state, hard_input, y_test) + print("hard_net: final test_accuracy: %.2f" % (hard_test_accuracy * 100)) + assert numpy.isclose(test_accuracy, hard_test_accuracy, atol=0.0001) + if True: + symbolic_weights = hard_weights # utils.make_symbolic(hard_weights) + symbolic_trained_state = train_state.TrainState.create( + apply_fn=symbolic.apply, params=symbolic_weights, tx=optax.sgd(1.0, 1.0) + ) + symbolic_input = hard_input.tolist() + symbolic_test_accuracy = apply_hard_model( + symbolic_trained_state, symbolic_input, y_test + ) + print( + "symbolic_net: final test_accuracy: %.2f" % (symbolic_test_accuracy * 100) + ) + assert numpy.isclose(test_accuracy, symbolic_test_accuracy, atol=0.0001) + if False: + # CPU and GPU give different results, so we can't easily regress on a static symbolic expression + symbolic_input = [f"x{i}" for i in range(len(hard_input[0].tolist()))] + symbolic_output = symbolic.apply({"params": symbolic_weights}, symbolic_input) + print("symbolic_output", symbolic_output[0][:10000]) + + +num_features = 4 +num_classes = 3 + + +def get_data(): + data_dir = Path(__file__).parent.parent / "tests" / "data" + data = numpy.loadtxt( + data_dir / "iris.data", + delimiter=",", + dtype={ + "names": ( + "sepal_length", + "sepal_width", + "petal_length", + "petal_width", + "class", + ), + "formats": ("f4", "f4", "f4", "f4", "U15"), + }, + ) + features = numpy.array([list(d)[:4] for d in data]) + # Normalise each feature column to be in the range [0, 1] + features = (features - features.min(axis=0)) / ( + features.max(axis=0) - features.min(axis=0) + ) + labels = numpy.array( + [ + 0 + if d[num_features] == "Iris-setosa" + else 1 + if d[num_features] == "Iris-versicolor" + else 2 + for d in data + ] + ) + return features, labels + + +# overfitting model: 100% training accuracy +def nln(type, x, training: bool): + input_size = x.shape[0] + bits_per_feature = 10 + x = real_encoder.real_encoder_layer(type)(bits_per_feature)(x) + x = x.ravel() + dtype = jax.numpy.float32 + mask_layer_size = 120 + x = hard_masks.mask_to_true_layer(type)(mask_layer_size, dtype=dtype)(x) + x = x.reshape((mask_layer_size, input_size * bits_per_feature)) + x = hard_majority.majority_layer(type)()(x) + x = hard_not.not_layer(type)(18)(x) + x = x.ravel() + ######################################################## + x = harden_layer.harden_layer(type)(x) + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) + return x + + +def batch_nln(type, x, training: bool): + return jax.vmap(lambda x: nln(type, x, training))(x) + + +class TrainState(train_state.TrainState): + dropout_rng: jax.random.KeyArray + + +def create_train_state(net, rng, dropout_rng, config): + mock_input = jax.numpy.ones([1, num_features]) + soft_weights = net.init(rng, mock_input, training=False)["params"] + tx = optax.sgd(config.learning_rate, config.momentum) + return TrainState.create( + apply_fn=net.apply, params=soft_weights, tx=tx, dropout_rng=dropout_rng + ) + + +@jax.jit +def update_model(state, grads): + return state.apply_gradients(grads=grads) + + +def apply_model_with_grad_impl(state, features, labels, dropout_rng, training: bool): + dropout_train_rng = jax.random.fold_in(key=dropout_rng, data=state.step) + + def loss_fn(params): + logits = state.apply_fn( + {"params": params}, + features, + training=training, + rngs={"dropout": dropout_train_rng}, + ) + one_hot = jax.nn.one_hot(labels, num_classes) + loss = jax.numpy.mean( + optax.softmax_cross_entropy(logits=logits, labels=one_hot) + ) + return loss, logits + + grad_fn = jax.value_and_grad(loss_fn, has_aux=True) + (loss, logits), grads = grad_fn(state.params) + accuracy = jax.numpy.mean(jax.numpy.argmax(logits, -1) == labels) + return grads, loss, accuracy + + +@jax.jit +def apply_model_with_grad_and_training(state, features, labels, dropout_rng): + return apply_model_with_grad_impl( + state, features, labels, dropout_rng, training=True + ) + + +@jax.jit +def apply_model_with_grad(state, features, labels, dropout_rng): + return apply_model_with_grad_impl( + state, features, labels, dropout_rng, training=False + ) + + +def train_epoch(state, features, labels, batch_size, rng, dropout_rng): + train_ds_size = len(features) + steps_per_epoch = train_ds_size // batch_size + + perms = jax.random.permutation(rng, len(features)) + perms = perms[: steps_per_epoch * batch_size] # skip incomplete batch + perms = perms.reshape((steps_per_epoch, batch_size)) + + epoch_loss = [] + epoch_accuracy = [] + + for perm in perms: + batch_features = features[perm, ...] + batch_labels = labels[perm, ...] + grads, loss, accuracy = apply_model_with_grad_and_training( + state, batch_features, batch_labels, dropout_rng + ) + state = update_model(state, grads) + epoch_loss.append(loss) + epoch_accuracy.append(accuracy) + train_loss = numpy.mean(epoch_loss) + train_accuracy = numpy.mean(epoch_accuracy) + return state, train_loss, train_accuracy + + +def train_and_evaluate( + init_rng, dropout_rng, net, data, config: ml_collections.ConfigDict +): + state = create_train_state(net, init_rng, dropout_rng, config) + x_training, y_training, x_test, y_test = data + best_train_accuracy = 0.0 + best_test_accuracy = 0.0 + for epoch in range(1, config.num_epochs + 1): + init_rng, input_rng = jax.random.split(init_rng) + state, train_loss, train_accuracy = train_epoch( + state, x_training, y_training, config.batch_size, input_rng, dropout_rng + ) + _, test_loss, test_accuracy = apply_model_with_grad( + state, x_test, y_test, dropout_rng + ) + if train_accuracy > best_train_accuracy: + best_train_accuracy = train_accuracy + # print(f"best_train_accuracy: {best_train_accuracy * 100:.2f}") + if test_accuracy >= best_test_accuracy: + best_test_accuracy = test_accuracy + # print(f"best_test_accuracy: {best_test_accuracy * 100:.2f}") + # else: + # print(f"test_accuracy: {test_accuracy * 100:.2f}") + # print("\n") + + # print( + # "epoch:% 3d, train_loss: %.4f, train_accuracy: %.2f, test_loss: %.4f, test_accuracy: %.2f" + # % (epoch, train_loss, train_accuracy * 100, test_loss, test_accuracy * 100) + # ) + + return state + + +def apply_hard_model(state, features, label): + def logits_fn(params): + return state.apply_fn({"params": params}, features, training=False) + + logits = logits_fn(state.params) + if isinstance(logits, list): + logits = jax.numpy.array(logits) + logits *= 1.0 + accuracy = jax.numpy.mean(jax.numpy.argmax(logits, -1) == label) + return accuracy + + +def apply_hard_model_to_data(state, features, labels): + accuracy = 0 + for (image, label) in tqdm(zip(features, labels), total=len(features)): + accuracy += apply_hard_model(state, image, label) + return accuracy / len(features) + + +def get_config(): + config = ml_collections.ConfigDict() + config.learning_rate = 0.01 + config.momentum = 0.9 + config.batch_size = 120 + config.num_epochs = 2 + return config + + +def train_test_split(features, labels, rng, test_size=0.2): + rng, split_rng = jax.random.split(rng) + train_size = int(len(features) * (1 - test_size)) + train_idx = jax.random.permutation(split_rng, len(features))[:train_size] + test_idx = jax.random.permutation(split_rng, len(features))[train_size:] + return ( + features[train_idx], + features[test_idx], + labels[train_idx], + labels[test_idx], + ) + + +def test_iris(): + rng = jax.random.PRNGKey(0) + rng, int_rng, dropout_rng = jax.random.split(rng, 3) + # Train net + soft, hard, symbolic = neural_logic_net.net( + lambda type, x, training: batch_nln(type, x, training) + ) + features, labels = get_data() + print(soft.tabulate(rng, features[0:1], training=False)) + + # Split features and labels into 80% training and 20% test + x_training, x_test, y_training, y_test = train_test_split( + features, labels, rng, test_size=0.2 + ) + + trained_state = train_and_evaluate( + int_rng, + dropout_rng, + soft, + (x_training, y_training, x_test, y_test), + get_config(), + ) + + # Check symbolic net + # _, hard, symbolic = neural_logic_net.net(lambda type, x: nln(type, x)) + # check_symbolic((soft, hard, symbolic), (training_data, test_data), trained_state) From 6c271d5579e60499cb995673f42ba4d5c555492e Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Tue, 31 Jan 2023 10:53:12 +0000 Subject: [PATCH 017/128] fix linter problem --- tests/test_iris.py | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/tests/test_iris.py b/tests/test_iris.py index 375d0ae..e804ed6 100644 --- a/tests/test_iris.py +++ b/tests/test_iris.py @@ -24,7 +24,7 @@ def check_symbolic(nets, data, trained_state): - x_training, y_training, x_test, y_test = get_train_and_test_data(data) + x_training, y_training, x_test, y_test = data _, hard, symbolic = nets _, test_loss, test_accuracy = apply_model_with_grad(trained_state, x_test, y_test) print( @@ -217,13 +217,13 @@ def train_and_evaluate( ) if train_accuracy > best_train_accuracy: best_train_accuracy = train_accuracy - # print(f"best_train_accuracy: {best_train_accuracy * 100:.2f}") + print(f"best_train_accuracy: {best_train_accuracy * 100:.2f}") if test_accuracy >= best_test_accuracy: best_test_accuracy = test_accuracy - # print(f"best_test_accuracy: {best_test_accuracy * 100:.2f}") - # else: - # print(f"test_accuracy: {test_accuracy * 100:.2f}") - # print("\n") + print(f"best_test_accuracy: {best_test_accuracy * 100:.2f}") + else: + print(f"test_accuracy: {test_accuracy * 100:.2f}") + print("\n") # print( # "epoch:% 3d, train_loss: %.4f, train_accuracy: %.2f, test_loss: %.4f, test_accuracy: %.2f" @@ -299,4 +299,4 @@ def test_iris(): # Check symbolic net # _, hard, symbolic = neural_logic_net.net(lambda type, x: nln(type, x)) - # check_symbolic((soft, hard, symbolic), (training_data, test_data), trained_state) + # check_symbolic((soft, hard, symbolic), (x_training, y_training, x_test, y_test), trained_state) From 4d6055ebe1a38b3701b4d0f73312ce2413a79558 Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Wed, 1 Feb 2023 10:05:33 +0000 Subject: [PATCH 018/128] learn on binary iris data --- tests/test_iris.py | 63 +++++++++++++++++++++++++++++++++++----------- 1 file changed, 49 insertions(+), 14 deletions(-) diff --git a/tests/test_iris.py b/tests/test_iris.py index e804ed6..113c087 100644 --- a/tests/test_iris.py +++ b/tests/test_iris.py @@ -59,11 +59,12 @@ def check_symbolic(nets, data, trained_state): print("symbolic_output", symbolic_output[0][:10000]) -num_features = 4 +binary_iris = True +num_features = 16 if binary_iris else 4 num_classes = 3 -def get_data(): +def get_iris_data(): data_dir = Path(__file__).parent.parent / "tests" / "data" data = numpy.loadtxt( data_dir / "iris.data", @@ -97,8 +98,16 @@ def get_data(): return features, labels +def get_binary_iris_data(): + data_dir = Path(__file__).parent.parent / "tests" / "data" + data = numpy.loadtxt(data_dir / "BinaryIrisData.txt").astype(dtype=numpy.int32) + features = data[:, 0:num_features] # Input features + labels = data[:, num_features] # Target value + return features, labels + + # overfitting model: 100% training accuracy -def nln(type, x, training: bool): +def nln_iris(type, x, training: bool): input_size = x.shape[0] bits_per_feature = 10 x = real_encoder.real_encoder_layer(type)(bits_per_feature)(x) @@ -117,8 +126,26 @@ def nln(type, x, training: bool): return x -def batch_nln(type, x, training: bool): - return jax.vmap(lambda x: nln(type, x, training))(x) +def nln_binary_iris(type, x, training: bool): + dtype = jax.numpy.float32 + mask_layer_size = 100 + x = hard_masks.mask_to_true_layer(type)(mask_layer_size, dtype=dtype)(x) + x = hard_majority.majority_layer(type)()(x) + x = hard_not.not_layer(type)(9)(x) + x = x.ravel() + ######################################################## + x = harden_layer.harden_layer(type)(x) + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) + return x + + +def batch_nln_iris(type, x, training: bool): + return jax.vmap(lambda x: nln_iris(type, x, training))(x) + + +def batch_nln_binary_iris(type, x, training: bool): + return jax.vmap(lambda x: nln_binary_iris(type, x, training))(x) class TrainState(train_state.TrainState): @@ -217,13 +244,14 @@ def train_and_evaluate( ) if train_accuracy > best_train_accuracy: best_train_accuracy = train_accuracy - print(f"best_train_accuracy: {best_train_accuracy * 100:.2f}") + print(f"eopch: {epoch}") + print(f"\tbest_train_accuracy: {best_train_accuracy * 100:.2f}") if test_accuracy >= best_test_accuracy: best_test_accuracy = test_accuracy - print(f"best_test_accuracy: {best_test_accuracy * 100:.2f}") + print(f"\tbest_test_accuracy: {best_test_accuracy * 100:.2f}") else: - print(f"test_accuracy: {test_accuracy * 100:.2f}") - print("\n") + print(f"\ttest_accuracy: {test_accuracy * 100:.2f}") + print("\n") # print( # "epoch:% 3d, train_loss: %.4f, train_accuracy: %.2f, test_loss: %.4f, test_accuracy: %.2f" @@ -257,7 +285,7 @@ def get_config(): config.learning_rate = 0.01 config.momentum = 0.9 config.batch_size = 120 - config.num_epochs = 2 + config.num_epochs = 2 # 400 return config @@ -278,10 +306,17 @@ def test_iris(): rng = jax.random.PRNGKey(0) rng, int_rng, dropout_rng = jax.random.split(rng, 3) # Train net - soft, hard, symbolic = neural_logic_net.net( - lambda type, x, training: batch_nln(type, x, training) - ) - features, labels = get_data() + if binary_iris: + features, labels = get_binary_iris_data() + soft, hard, symbolic = neural_logic_net.net( + lambda type, x, training: batch_nln_binary_iris(type, x, training) + ) + else: + features, labels = get_iris_data() + soft, hard, symbolic = neural_logic_net.net( + lambda type, x, training: batch_nln_iris(type, x, training) + ) + print(soft.tabulate(rng, features[0:1], training=False)) # Split features and labels into 80% training and 20% test From 2c3688b8149b4632ad94b778839daa0f5dd25db1 Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Wed, 1 Feb 2023 12:37:48 +0000 Subject: [PATCH 019/128] collect stats --- tests/test_iris.py | 105 +++++++++++++++++++++++++++++++++++---------- 1 file changed, 82 insertions(+), 23 deletions(-) diff --git a/tests/test_iris.py b/tests/test_iris.py index 113c087..108a061 100644 --- a/tests/test_iris.py +++ b/tests/test_iris.py @@ -126,12 +126,37 @@ def nln_iris(type, x, training: bool): return x -def nln_binary_iris(type, x, training: bool): +def nln_binary_iris_95_27(type, x, training: bool): + dtype = jax.numpy.float32 + mask_layer_size = 90 + x = hard_masks.mask_to_true_layer(type)(mask_layer_size, dtype=dtype)(x) + x = hard_majority.majority_layer(type)()(x) + x = x.ravel() + ######################################################## + x = harden_layer.harden_layer(type)(x) + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) + return x + + +def nln_binary_iris_95_6(type, x, training: bool): + dtype = jax.numpy.float32 + mask_layer_size = 120 + x = hard_masks.mask_to_true_layer(type)(mask_layer_size, dtype=dtype)(x) + x = hard_majority.majority_layer(type)()(x) + x = x.ravel() + ######################################################## + x = harden_layer.harden_layer(type)(x) + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) + return x + + +def nln_binary_iris_95_53(type, x, training: bool): dtype = jax.numpy.float32 - mask_layer_size = 100 + mask_layer_size = 150 x = hard_masks.mask_to_true_layer(type)(mask_layer_size, dtype=dtype)(x) x = hard_majority.majority_layer(type)()(x) - x = hard_not.not_layer(type)(9)(x) x = x.ravel() ######################################################## x = harden_layer.harden_layer(type)(x) @@ -140,6 +165,30 @@ def nln_binary_iris(type, x, training: bool): return x +def nln_binary_iris_95_7(type, x, training: bool): + dtype = jax.numpy.float32 + mask_layer_size = 900 + x = hard_masks.mask_to_true_layer(type)(mask_layer_size, dtype=dtype)(x) + x = hard_majority.majority_layer(type)()(x) + ######################################################## + x = harden_layer.harden_layer(type)(x) + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) + return x + + +def nln_binary_iris(type, x, training: bool): + dtype = jax.numpy.float32 + mask_layer_size = 120 + x = hard_masks.mask_to_true_layer(type)(mask_layer_size, dtype=dtype)(x) + x = hard_majority.majority_layer(type)()(x) + ######################################################## + x = harden_layer.harden_layer(type)(x) + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) + return x + + def batch_nln_iris(type, x, training: bool): return jax.vmap(lambda x: nln_iris(type, x, training))(x) @@ -244,21 +293,22 @@ def train_and_evaluate( ) if train_accuracy > best_train_accuracy: best_train_accuracy = train_accuracy - print(f"eopch: {epoch}") - print(f"\tbest_train_accuracy: {best_train_accuracy * 100:.2f}") + # print(f"epoch: {epoch}") + # print(f"\tbest_train_accuracy: {best_train_accuracy * 100:.2f}") if test_accuracy >= best_test_accuracy: best_test_accuracy = test_accuracy - print(f"\tbest_test_accuracy: {best_test_accuracy * 100:.2f}") - else: - print(f"\ttest_accuracy: {test_accuracy * 100:.2f}") - print("\n") + # print(f"\tbest_test_accuracy: {best_test_accuracy * 100:.2f}") + # else: + # print(f"\ttest_accuracy: {test_accuracy * 100:.2f}") + # print("\n") # print( # "epoch:% 3d, train_loss: %.4f, train_accuracy: %.2f, test_loss: %.4f, test_accuracy: %.2f" # % (epoch, train_loss, train_accuracy * 100, test_loss, test_accuracy * 100) # ) - return state + # return trained state and final test_accuracy + return state, test_accuracy def apply_hard_model(state, features, label): @@ -285,7 +335,7 @@ def get_config(): config.learning_rate = 0.01 config.momentum = 0.9 config.batch_size = 120 - config.num_epochs = 2 # 400 + config.num_epochs = 400 return config @@ -303,8 +353,6 @@ def train_test_split(features, labels, rng, test_size=0.2): def test_iris(): - rng = jax.random.PRNGKey(0) - rng, int_rng, dropout_rng = jax.random.split(rng, 3) # Train net if binary_iris: features, labels = get_binary_iris_data() @@ -317,19 +365,30 @@ def test_iris(): lambda type, x, training: batch_nln_iris(type, x, training) ) + rng = jax.random.PRNGKey(0) print(soft.tabulate(rng, features[0:1], training=False)) - # Split features and labels into 80% training and 20% test - x_training, x_test, y_training, y_test = train_test_split( - features, labels, rng, test_size=0.2 - ) + num_experiments = 25 + final_test_accuracies = [] + for i in range(num_experiments): + # Split features and labels into 80% training and 20% test + rng, int_rng, dropout_rng = jax.random.split(rng, 3) + x_training, x_test, y_training, y_test = train_test_split( + features, labels, rng, test_size=0.2 + ) + trained_state, final_test_accuracy = train_and_evaluate( + int_rng, + dropout_rng, + soft, + (x_training, y_training, x_test, y_test), + get_config(), + ) + final_test_accuracies.append(final_test_accuracy) + print(f"{i}: final test accuracy: {final_test_accuracy * 100:.2f}") - trained_state = train_and_evaluate( - int_rng, - dropout_rng, - soft, - (x_training, y_training, x_test, y_test), - get_config(), + # print mean, min, max, lowest 5%, highest 5% of final test accuracies + print( + f"mean: {numpy.mean(final_test_accuracies) * 100:.2f}, min: {numpy.min(final_test_accuracies) * 100:.2f}, max: {numpy.max(final_test_accuracies) * 100:.2f}, lowest 5%: {numpy.quantile(final_test_accuracies, 0.05) * 100:.2f}, highest 5%: {numpy.quantile(final_test_accuracies, 0.95) * 100:.2f}" ) # Check symbolic net From d022412ea0a8f4e27b032f7ef89c613c8da0cb9e Mon Sep 17 00:00:00 2001 From: Ian Wright Date: Thu, 2 Feb 2023 10:50:53 +0000 Subject: [PATCH 020/128] experimenting with real encoder --- demos/real_encoder.nb | 661 ++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 661 insertions(+) create mode 100644 demos/real_encoder.nb diff --git a/demos/real_encoder.nb b/demos/real_encoder.nb new file mode 100644 index 0000000..896e26d --- /dev/null +++ b/demos/real_encoder.nb @@ -0,0 +1,661 @@ +(* Content-type: application/vnd.wolfram.mathematica *) + +(*** Wolfram Notebook File ***) +(* http://www.wolfram.com/nb *) + +(* CreatedBy='Mathematica 13.1' *) + +(*CacheID: 234*) +(* Internal cache information: +NotebookFileLineBreakTest +NotebookFileLineBreakTest +NotebookDataPosition[ 158, 7] +NotebookDataLength[ 23992, 653] +NotebookOptionsPosition[ 20357, 580] +NotebookOutlinePosition[ 20829, 598] +CellTagsIndexPosition[ 20786, 595] +WindowFrame->Normal*) + +(* Beginning of Notebook Content *) +Notebook[{ + +Cell[CellGroupData[{ +Cell["Real encoder via piecewise function", "Subtitle", + CellChangeTimes->{{3.883656744649604*^9, + 3.8836567497669353`*^9}},ExpressionUUID->"d4be98a6-9717-4634-ba29-\ +06c2e32bc4c5"], + +Cell[BoxData[ + RowBox[{ + RowBox[{"f", "[", + RowBox[{"x_", ",", "t_"}], "]"}], ":=", + RowBox[{"If", "[", + RowBox[{ + RowBox[{"x", "==", "t"}], ",", + RowBox[{"1", "/", "2"}], ",", + RowBox[{"If", "[", + RowBox[{ + RowBox[{"x", "<", "t"}], ",", + RowBox[{ + FractionBox["1", + RowBox[{"2", "t"}]], "x"}], ",", + RowBox[{ + FractionBox["1", + RowBox[{"2", + RowBox[{"(", + RowBox[{"1", "-", "t"}], ")"}]}]], + RowBox[{"(", + RowBox[{"x", "+", "1", "-", + RowBox[{"2", "t"}]}], ")"}]}]}], "]"}]}], "]"}]}]], "Input", + CellChangeTimes->{{3.88303840189393*^9, 3.8830384384181337`*^9}, { + 3.8831041214451714`*^9, 3.883104161478367*^9}, {3.8831041974114037`*^9, + 3.8831042209933357`*^9}, {3.883104261864533*^9, 3.8831042620377083`*^9}, { + 3.883104298518237*^9, 3.883104299195771*^9}, {3.883104413038622*^9, + 3.883104421012195*^9}, {3.883104459165357*^9, 3.883104469856194*^9}, { + 3.883104793940713*^9, 3.8831047941033697`*^9}, {3.883105110982812*^9, + 3.883105111658375*^9}, {3.883105188495294*^9, 3.883105192165203*^9}}, + CellLabel->"In[1]:=",ExpressionUUID->"42842855-6200-425a-bd01-edf61e6a87d2"], + +Cell[BoxData[ + RowBox[{ + RowBox[{"dfx", "[", + RowBox[{"x_", ",", "t_"}], "]"}], ":=", + RowBox[{ + RowBox[{"D", "[", + RowBox[{ + RowBox[{"f", "[", + RowBox[{"x1", ",", "t1"}], "]"}], ",", "x1"}], "]"}], "/.", + RowBox[{"{", + RowBox[{ + RowBox[{"x1", "->", "x"}], ",", + RowBox[{"t1", "->", "t"}]}], "}"}]}]}]], "Input", + CellChangeTimes->{{3.883039035781431*^9, 3.883039040578171*^9}, { + 3.883039230126562*^9, 3.883039288793413*^9}, {3.883039338774295*^9, + 3.883039352990676*^9}, {3.883039458664534*^9, 3.883039463791615*^9}}, + CellLabel->"In[2]:=",ExpressionUUID->"8f798703-3459-4bc4-b794-a7404821094b"], + +Cell[BoxData[ + RowBox[{ + RowBox[{"dft", "[", + RowBox[{"x_", ",", "t_"}], "]"}], ":=", + RowBox[{ + RowBox[{"D", "[", + RowBox[{ + RowBox[{"f", "[", + RowBox[{"x1", ",", "t1"}], "]"}], ",", "t1"}], "]"}], "/.", + RowBox[{"{", + RowBox[{ + RowBox[{"x1", "->", "x"}], ",", + RowBox[{"t1", "->", "t"}]}], "}"}]}]}]], "Input", + CellChangeTimes->{{3.883039140320224*^9, 3.883039149821663*^9}, { + 3.883039181088139*^9, 3.883039202785763*^9}, {3.883039241901309*^9, + 3.883039246218851*^9}, 3.8830394717813683`*^9, {3.883039521814831*^9, + 3.883039526730958*^9}}, + CellLabel->"In[3]:=",ExpressionUUID->"c1193c62-e12e-4b9d-a13a-6484cd6ddd74"], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"Manipulate", "[", + RowBox[{ + RowBox[{"Plot", "[", + RowBox[{ + RowBox[{"{", + RowBox[{ + RowBox[{"1", "/", "2"}], ",", + RowBox[{"f", "[", + RowBox[{"x", ",", "t"}], "]"}]}], "}"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"PlotRange", "->", + RowBox[{"{", + RowBox[{ + RowBox[{"{", + RowBox[{"0", ",", "1"}], "}"}], ",", + RowBox[{"{", + RowBox[{"0", ",", "1"}], "}"}]}], "}"}]}], ",", + RowBox[{"AxesLabel", "->", + RowBox[{"{", + RowBox[{"x", ",", "y"}], "}"}]}]}], "]"}], ",", + RowBox[{"{", + RowBox[{"t", ",", "0", ",", "1"}], "}"}]}], "]"}]], "Input", + CellChangeTimes->{{3.883038440921133*^9, 3.883038528899569*^9}, { + 3.88303898083633*^9, 3.8830390489567423`*^9}, {3.8830390811026583`*^9, + 3.8830391146026154`*^9}, {3.883039162612338*^9, 3.883039171738353*^9}, { + 3.883039360161191*^9, 3.883039391267516*^9}, 3.8830394820804853`*^9, { + 3.883039584937379*^9, 3.883039602610166*^9}, 3.8831041886240673`*^9, { + 3.883104272594692*^9, 3.883104277359004*^9}, {3.883104315001042*^9, + 3.883104334941935*^9}, {3.883104485398986*^9, 3.883104526594966*^9}}, + CellLabel->"In[4]:=",ExpressionUUID->"dab9571e-b26a-4f8e-b1ce-a69f5e9f8552"], + +Cell[BoxData[ + TagBox[ + StyleBox[ + DynamicModuleBox[{$CellContext`t$$ = 0.5, Typeset`show$$ = True, + Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", + Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = + "\"untitled\"", Typeset`specs$$ = {{ + Hold[$CellContext`t$$], 0, 1}}, Typeset`size$$ = { + 450., {146., 151.65602135894596`}}, Typeset`update$$ = 0, + Typeset`initDone$$, Typeset`skipInitDone$$ = True}, + DynamicBox[Manipulate`ManipulateBoxes[ + 1, StandardForm, "Variables" :> {$CellContext`t$$ = 0}, + "ControllerVariables" :> {}, + "OtherVariables" :> { + Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, + Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, + Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, + Typeset`skipInitDone$$}, "Body" :> Plot[{1/2, + $CellContext`f[$CellContext`x, $CellContext`t$$]}, {$CellContext`x, + 0, 1}, PlotRange -> {{0, 1}, {0, 1}}, + AxesLabel -> {$CellContext`x, $CellContext`y}], + "Specifications" :> {{$CellContext`t$$, 0, 1}}, "Options" :> {}, + "DefaultOptions" :> {}], + ImageSizeCache->{506., {211.9462890625, 219.0537109375}}, + SingleEvaluation->True], + Deinitialization:>None, + DynamicModuleValues:>{}, + SynchronousInitialization->True, + UndoTrackedVariables:>{Typeset`show$$, Typeset`bookmarkMode$$}, + UnsavedVariables:>{Typeset`initDone$$}, + UntrackedVariables:>{Typeset`size$$}], "Manipulate", + Deployed->True, + StripOnInput->False], + Manipulate`InterpretManipulate[1]]], "Output", + CellChangeTimes->{{3.8830384584554863`*^9, 3.883038529286379*^9}, { + 3.883038992870723*^9, 3.883039049640132*^9}, 3.8830390893318977`*^9, + 3.883039165299903*^9, 3.883039361593688*^9, 3.883039391748811*^9, { + 3.8830394733629208`*^9, 3.8830394824613457`*^9}, 3.883039603698097*^9, + 3.883041844741111*^9, 3.883104135670179*^9, 3.883104189838153*^9, { + 3.883104279025242*^9, 3.883104335593913*^9}, {3.8831044984266357`*^9, + 3.883104527024387*^9}, 3.8831047969367332`*^9, {3.883105084489913*^9, + 3.883105114415608*^9}, 3.883105194508596*^9, {3.8843235751238117`*^9, + 3.88432358386751*^9}}, + CellLabel->"Out[4]=",ExpressionUUID->"af86f9a1-17e9-465b-ba32-8b96b035df4f"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"f", "[", + RowBox[{"x", ",", "t"}], "]"}]], "Input", + CellChangeTimes->{{3.8837102479421377`*^9, 3.883710250120378*^9}}, + CellLabel->"In[80]:=",ExpressionUUID->"c4f12afe-b375-43f9-b091-7155947cd2e8"], + +Cell[BoxData[ + RowBox[{"If", "[", + RowBox[{ + RowBox[{"x", "\[Equal]", "t"}], ",", + FractionBox["1", "2"], ",", + RowBox[{"If", "[", + RowBox[{ + RowBox[{"x", "<", "t"}], ",", + FractionBox["x", + RowBox[{"2", " ", "t"}]], ",", + FractionBox[ + RowBox[{"x", "+", "1", "-", + RowBox[{"2", " ", "t"}]}], + RowBox[{"2", " ", + RowBox[{"(", + RowBox[{"1", "-", "t"}], ")"}]}]]}], "]"}]}], "]"}]], "Output", + CellChangeTimes->{3.883710250512577*^9}, + CellLabel->"Out[80]=",ExpressionUUID->"76839dc1-fdf7-4772-9ad5-b91f0456b039"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{ + RowBox[{"f", "[", + RowBox[{"x", ",", "t"}], "]"}], "//", "Simplify"}]], "Input", + CellChangeTimes->{{3.883710226370181*^9, 3.883710236123451*^9}}, + CellLabel->"In[79]:=",ExpressionUUID->"3d179d6b-375d-49ba-b0ab-6a5f02bac0b0"], + +Cell[BoxData[ + TagBox[GridBox[{ + {"\[Piecewise]", GridBox[{ + { + FractionBox["1", "2"], + RowBox[{"t", "\[Equal]", "x"}]}, + { + FractionBox[ + RowBox[{"1", "-", + RowBox[{"2", " ", "t"}], "+", "x"}], + RowBox[{"2", "-", + RowBox[{"2", " ", "t"}]}]], + RowBox[{"t", "<", "x"}]}, + { + FractionBox["x", + RowBox[{"2", " ", "t"}]], + TagBox["True", + "PiecewiseDefault", + AutoDelete->True]} + }, + AllowedDimensions->{2, Automatic}, + Editable->True, + GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{1.}}}, + GridBoxSpacings->{"Columns" -> { + Offset[0.27999999999999997`], { + Offset[0.84]}, + Offset[0.27999999999999997`]}, "Rows" -> { + Offset[0.2], { + Offset[0.4]}, + Offset[0.2]}}, + Selectable->True]} + }, + GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{1.}}}, + GridBoxSpacings->{"Columns" -> { + Offset[0.27999999999999997`], { + Offset[0.35]}, + Offset[0.27999999999999997`]}, "Rows" -> { + Offset[0.2], { + Offset[0.4]}, + Offset[0.2]}}], + "Piecewise", + DeleteWithContents->True, + Editable->False, + SelectWithContents->True, + Selectable->False, + StripWrapperBoxes->True]], "Output", + CellChangeTimes->{{3.883710228748487*^9, 3.88371023664153*^9}}, + CellLabel->"Out[79]=",ExpressionUUID->"d7fa6204-a52e-47d9-bbf5-bbeced369076"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"{", + RowBox[{ + RowBox[{"f", "[", + RowBox[{"0", ",", "0"}], "]"}], ",", + RowBox[{"f", "[", + RowBox[{ + RowBox[{"1", "/", "2"}], ",", + RowBox[{"1", "/", "2"}]}], "]"}], ",", + RowBox[{"f", "[", + RowBox[{"0", ",", "1"}], "]"}], ",", + RowBox[{"f", "[", + RowBox[{"1", ",", "0"}], "]"}], ",", + RowBox[{"f", "[", + RowBox[{"1", ",", "1"}], "]"}], ",", + RowBox[{"f", "[", + RowBox[{"0.99", ",", "1"}], "]"}], ",", + RowBox[{"f", "[", + RowBox[{"1", ",", "0.99"}], "]"}]}], "}"}]], "Input", + CellChangeTimes->{{3.883104323295031*^9, 3.883104353350946*^9}, { + 3.8831044047638273`*^9, 3.883104442900337*^9}}, + CellLabel->"In[45]:=",ExpressionUUID->"41eb3554-a248-4fe1-9ad3-9fe0a30dd2af"], + +Cell[BoxData[ + RowBox[{"{", + RowBox[{ + FractionBox["1", "2"], ",", + FractionBox["1", "2"], ",", "0", ",", "1", ",", + FractionBox["1", "2"], ",", "0.495`", ",", "1.`"}], "}"}]], "Output", + CellChangeTimes->{{3.8831043252614326`*^9, 3.8831043538117733`*^9}, { + 3.883104406274179*^9, 3.883104473341198*^9}, 3.88310480928761*^9, + 3.883105117463038*^9, 3.883105197173572*^9}, + CellLabel->"Out[45]=",ExpressionUUID->"5c781058-c8ec-41f5-9c6e-7000cb5fc2c3"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"f", "[", + RowBox[{"0.1", ",", "0.3"}], "]"}]], "Input", + CellChangeTimes->{{3.883106339980537*^9, 3.8831063576630993`*^9}}, + CellLabel->"In[47]:=",ExpressionUUID->"95059b1d-af72-4c81-bab2-8a4eb8b958e0"], + +Cell[BoxData["0.16666666666666669`"], "Output", + CellChangeTimes->{{3.883106344708098*^9, 3.883106357898994*^9}}, + CellLabel->"Out[47]=",ExpressionUUID->"40c3f1fd-a274-48ad-97a2-561b6adefa77"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"f", "[", + RowBox[{"0.75", ",", "0.8"}], "]"}]], "Input", + CellChangeTimes->{{3.883106360806223*^9, 3.883106366175001*^9}}, + CellLabel->"In[48]:=",ExpressionUUID->"ca3191b9-9509-4e3e-85ac-b3d1a2fc7067"], + +Cell[BoxData["0.46875`"], "Output", + CellChangeTimes->{3.883106366733447*^9}, + CellLabel->"Out[48]=",ExpressionUUID->"7dc21a4f-4a59-4550-b4e1-9ce53a9a7beb"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"f", "[", + RowBox[{"0.9", ",", "0.25"}], "]"}]], "Input", + CellChangeTimes->{{3.8831063713869762`*^9, 3.8831063748471212`*^9}}, + CellLabel->"In[49]:=",ExpressionUUID->"30ea8572-4755-4266-84c1-3d1e5996a2f9"], + +Cell[BoxData["0.9333333333333332`"], "Output", + CellChangeTimes->{3.8831063756915903`*^9}, + CellLabel->"Out[49]=",ExpressionUUID->"994876d9-01d5-4213-b377-fce7f0336997"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"f", "[", + RowBox[{"1", ",", "1"}], "]"}]], "Input", + CellChangeTimes->{{3.88310637926198*^9, 3.8831063802027407`*^9}}, + CellLabel->"In[50]:=",ExpressionUUID->"14fead4b-5aab-4d8e-a3f0-dac14f68a5e4"], + +Cell[BoxData[ + FractionBox["1", "2"]], "Output", + CellChangeTimes->{3.883106380577056*^9}, + CellLabel->"Out[50]=",ExpressionUUID->"25516630-6e56-466c-a886-a482cf440ea6"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"f", "[", + RowBox[{"0", ",", "1"}], "]"}]], "Input", + CellChangeTimes->{{3.883106382813698*^9, 3.883106392261456*^9}}, + CellLabel->"In[52]:=",ExpressionUUID->"b1b621ab-b78b-436d-b9e5-9cd1487ffab5"], + +Cell[BoxData["0"], "Output", + CellChangeTimes->{{3.883106384118988*^9, 3.883106392485326*^9}}, + CellLabel->"Out[52]=",ExpressionUUID->"4b3bf431-1c01-40e9-8329-88f90f48e8d8"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"f", "[", + RowBox[{"0", ",", "0"}], "]"}]], "Input", + CellChangeTimes->{{3.8831063964592247`*^9, 3.883106397440526*^9}}, + CellLabel->"In[53]:=",ExpressionUUID->"90186c36-eb88-4db1-b9b9-d90e28a68ecc"], + +Cell[BoxData[ + FractionBox["1", "2"]], "Output", + CellChangeTimes->{3.883106397881453*^9}, + CellLabel->"Out[53]=",ExpressionUUID->"0a4d0117-09b4-44b1-a42a-8868a5b68a4c"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"Manipulate", "[", + RowBox[{ + RowBox[{"Plot", "[", + RowBox[{ + RowBox[{"{", + RowBox[{ + RowBox[{"1", "/", "2"}], ",", + RowBox[{"f", "[", + RowBox[{"x", ",", "t"}], "]"}], ",", + RowBox[{"dft", "[", + RowBox[{"x", ",", "t"}], "]"}]}], "}"}], ",", + RowBox[{"{", + RowBox[{"t", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"PlotRange", "->", "All"}], ",", + RowBox[{"AxesLabel", "->", + RowBox[{"{", + RowBox[{"t", ",", "y"}], "}"}]}]}], "]"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}]}], "]"}]], "Input", + CellChangeTimes->{{3.883039540392782*^9, 3.883039546006789*^9}, { + 3.883039612875637*^9, 3.883039622884254*^9}}, + CellLabel->"In[17]:=",ExpressionUUID->"5708b8fe-ecb9-48e3-bdf5-1917d567b9d1"], + +Cell[BoxData[ + TagBox[ + StyleBox[ + DynamicModuleBox[{$CellContext`x$$ = 0.423, Typeset`show$$ = True, + Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", + Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = + "\"untitled\"", Typeset`specs$$ = {{ + Hold[$CellContext`x$$], 0, 1}}, Typeset`size$$ = { + 450., {137., 143.47371712724095`}}, Typeset`update$$ = 0, + Typeset`initDone$$, Typeset`skipInitDone$$ = True}, + DynamicBox[Manipulate`ManipulateBoxes[ + 1, StandardForm, "Variables" :> {$CellContext`x$$ = 0}, + "ControllerVariables" :> {}, + "OtherVariables" :> { + Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, + Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, + Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, + Typeset`skipInitDone$$}, "Body" :> Plot[{1/2, + $CellContext`f[$CellContext`x$$, $CellContext`t], + $CellContext`dft[$CellContext`x$$, $CellContext`t]}, {$CellContext`t, + 0, 1}, PlotRange -> All, + AxesLabel -> {$CellContext`t, $CellContext`y}], + "Specifications" :> {{$CellContext`x$$, 0, 1}}, "Options" :> {}, + "DefaultOptions" :> {}], + ImageSizeCache->{506., {191.9462890625, 199.0537109375}}, + SingleEvaluation->True], + Deinitialization:>None, + DynamicModuleValues:>{}, + SynchronousInitialization->True, + UndoTrackedVariables:>{Typeset`show$$, Typeset`bookmarkMode$$}, + UnsavedVariables:>{Typeset`initDone$$}, + UntrackedVariables:>{Typeset`size$$}], "Manipulate", + Deployed->True, + StripOnInput->False], + Manipulate`InterpretManipulate[1]]], "Output", + CellChangeTimes->{ + 3.883039546426629*^9, {3.883039623554296*^9, 3.883039630682323*^9}}, + CellLabel->"Out[17]=",ExpressionUUID->"eb599672-ab4e-4417-8cf9-51f42f4e6007"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{ + RowBox[{"D", "[", + RowBox[{ + RowBox[{"f", "[", + RowBox[{"x", ",", "t"}], "]"}], ",", "x"}], "]"}], "//", + "Simplify"}]], "Input", + CellChangeTimes->{{3.8830385709481087`*^9, 3.88303858895183*^9}}, + CellLabel->"In[29]:=",ExpressionUUID->"f0e36d44-f88a-4c9f-8cb2-6111f2bf3d7b"], + +Cell[BoxData[ + TagBox[GridBox[{ + {"\[Piecewise]", GridBox[{ + { + FractionBox["1", + RowBox[{"2", "-", + RowBox[{"2", " ", "t"}]}]], + RowBox[{"t", "<", "x"}]}, + { + FractionBox["1", + RowBox[{"2", " ", "t"}]], + RowBox[{"t", ">", "x"}]}, + {"0", + TagBox["True", + "PiecewiseDefault", + AutoDelete->True]} + }, + AllowedDimensions->{2, Automatic}, + Editable->True, + GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{1.}}}, + GridBoxSpacings->{"Columns" -> { + Offset[0.27999999999999997`], { + Offset[0.84]}, + Offset[0.27999999999999997`]}, "Rows" -> { + Offset[0.2], { + Offset[0.4]}, + Offset[0.2]}}, + Selectable->True]} + }, + GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{1.}}}, + GridBoxSpacings->{"Columns" -> { + Offset[0.27999999999999997`], { + Offset[0.35]}, + Offset[0.27999999999999997`]}, "Rows" -> { + Offset[0.2], { + Offset[0.4]}, + Offset[0.2]}}], + "Piecewise", + DeleteWithContents->True, + Editable->False, + SelectWithContents->True, + Selectable->False, + StripWrapperBoxes->True]], "Output", + CellChangeTimes->{{3.883038576655107*^9, 3.8830385893929243`*^9}, + 3.883104549011063*^9}, + CellLabel->"Out[29]=",ExpressionUUID->"c614e50c-aab6-4322-bba0-178dc2736e35"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{ + RowBox[{"D", "[", + RowBox[{ + RowBox[{"f", "[", + RowBox[{"x", ",", "t"}], "]"}], ",", "t"}], "]"}], "//", + "Simplify"}]], "Input", + CellChangeTimes->{{3.883038580489767*^9, 3.8830385936165543`*^9}}, + CellLabel->"In[30]:=",ExpressionUUID->"a1e0bf23-6fdd-4a52-8121-5f5d46287b6f"], + +Cell[BoxData[ + TagBox[GridBox[{ + {"\[Piecewise]", GridBox[{ + { + FractionBox[ + RowBox[{ + RowBox[{"-", "1"}], "+", "x"}], + RowBox[{"2", " ", + SuperscriptBox[ + RowBox[{"(", + RowBox[{ + RowBox[{"-", "1"}], "+", "t"}], ")"}], "2"]}]], + RowBox[{"t", "<", "x"}]}, + { + RowBox[{"-", + FractionBox["x", + RowBox[{"2", " ", + SuperscriptBox["t", "2"]}]]}], + RowBox[{"t", ">", "x"}]}, + {"0", + TagBox["True", + "PiecewiseDefault", + AutoDelete->True]} + }, + AllowedDimensions->{2, Automatic}, + Editable->True, + GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{1.}}}, + GridBoxSpacings->{"Columns" -> { + Offset[0.27999999999999997`], { + Offset[0.84]}, + Offset[0.27999999999999997`]}, "Rows" -> { + Offset[0.2], { + Offset[0.4]}, + Offset[0.2]}}, + Selectable->True]} + }, + GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{1.}}}, + GridBoxSpacings->{"Columns" -> { + Offset[0.27999999999999997`], { + Offset[0.35]}, + Offset[0.27999999999999997`]}, "Rows" -> { + Offset[0.2], { + Offset[0.4]}, + Offset[0.2]}}], + "Piecewise", + DeleteWithContents->True, + Editable->False, + SelectWithContents->True, + Selectable->False, + StripWrapperBoxes->True]], "Output", + CellChangeTimes->{{3.883038584477072*^9, 3.883038594195134*^9}, + 3.883104550603149*^9}, + CellLabel->"Out[30]=",ExpressionUUID->"32d61393-77a8-4941-8234-3fc6a562cf4c"] +}, Open ]] +}, Open ]] +}, +WindowSize->{1440., 782.25}, +WindowMargins->{{1440, Automatic}, {0, Automatic}}, +TaggingRules-><|"TryRealOnly" -> False|>, +Magnification:>1.25 Inherited, +FrontEndVersion->"13.2 for Linux x86 (64-bit) (December 7, 2022)", +StyleDefinitions->"Default.nb", +ExpressionUUID->"6e78201a-3c48-4ad6-a444-bab0ae95251a" +] +(* End of Notebook Content *) + +(* Internal cache information *) +(*CellTagsOutline +CellTagsIndex->{} +*) +(*CellTagsIndex +CellTagsIndex->{} +*) +(*NotebookFileOutline +Notebook[{ +Cell[CellGroupData[{ +Cell[580, 22, 183, 3, 66, "Subtitle",ExpressionUUID->"d4be98a6-9717-4634-ba29-06c2e32bc4c5"], +Cell[766, 27, 1196, 29, 64, "Input",ExpressionUUID->"42842855-6200-425a-bd01-edf61e6a87d2"], +Cell[1965, 58, 638, 16, 36, "Input",ExpressionUUID->"8f798703-3459-4bc4-b794-a7404821094b"], +Cell[2606, 76, 668, 17, 36, "Input",ExpressionUUID->"c1193c62-e12e-4b9d-a13a-6484cd6ddd74"], +Cell[CellGroupData[{ +Cell[3299, 97, 1315, 31, 36, "Input",ExpressionUUID->"dab9571e-b26a-4f8e-b1ce-a69f5e9f8552"], +Cell[4617, 130, 2313, 43, 474, "Output",ExpressionUUID->"af86f9a1-17e9-465b-ba32-8b96b035df4f"] +}, Open ]], +Cell[CellGroupData[{ +Cell[6967, 178, 224, 4, 36, "Input",ExpressionUUID->"c4f12afe-b375-43f9-b091-7155947cd2e8"], +Cell[7194, 184, 578, 17, 72, "Output",ExpressionUUID->"76839dc1-fdf7-4772-9ad5-b91f0456b039"] +}, Open ]], +Cell[CellGroupData[{ +Cell[7809, 206, 254, 5, 36, "Input",ExpressionUUID->"3d179d6b-375d-49ba-b0ab-6a5f02bac0b0"], +Cell[8066, 213, 1635, 49, 122, "Output",ExpressionUUID->"d7fa6204-a52e-47d9-bbf5-bbeced369076"] +}, Open ]], +Cell[CellGroupData[{ +Cell[9738, 267, 754, 21, 36, "Input",ExpressionUUID->"41eb3554-a248-4fe1-9ad3-9fe0a30dd2af"], +Cell[10495, 290, 464, 9, 57, "Output",ExpressionUUID->"5c781058-c8ec-41f5-9c6e-7000cb5fc2c3"] +}, Open ]], +Cell[CellGroupData[{ +Cell[10996, 304, 228, 4, 36, "Input",ExpressionUUID->"95059b1d-af72-4c81-bab2-8a4eb8b958e0"], +Cell[11227, 310, 192, 2, 41, "Output",ExpressionUUID->"40c3f1fd-a274-48ad-97a2-561b6adefa77"] +}, Open ]], +Cell[CellGroupData[{ +Cell[11456, 317, 227, 4, 36, "Input",ExpressionUUID->"ca3191b9-9509-4e3e-85ac-b3d1a2fc7067"], +Cell[11686, 323, 156, 2, 41, "Output",ExpressionUUID->"7dc21a4f-4a59-4550-b4e1-9ce53a9a7beb"] +}, Open ]], +Cell[CellGroupData[{ +Cell[11879, 330, 231, 4, 36, "Input",ExpressionUUID->"30ea8572-4755-4266-84c1-3d1e5996a2f9"], +Cell[12113, 336, 169, 2, 41, "Output",ExpressionUUID->"994876d9-01d5-4213-b377-fce7f0336997"] +}, Open ]], +Cell[CellGroupData[{ +Cell[12319, 343, 223, 4, 36, "Input",ExpressionUUID->"14fead4b-5aab-4d8e-a3f0-dac14f68a5e4"], +Cell[12545, 349, 169, 3, 57, "Output",ExpressionUUID->"25516630-6e56-466c-a886-a482cf440ea6"] +}, Open ]], +Cell[CellGroupData[{ +Cell[12751, 357, 222, 4, 36, "Input",ExpressionUUID->"b1b621ab-b78b-436d-b9e5-9cd1487ffab5"], +Cell[12976, 363, 173, 2, 41, "Output",ExpressionUUID->"4b3bf431-1c01-40e9-8329-88f90f48e8d8"] +}, Open ]], +Cell[CellGroupData[{ +Cell[13186, 370, 224, 4, 36, "Input",ExpressionUUID->"90186c36-eb88-4db1-b9b9-d90e28a68ecc"], +Cell[13413, 376, 169, 3, 57, "Output",ExpressionUUID->"0a4d0117-09b4-44b1-a42a-8868a5b68a4c"] +}, Open ]], +Cell[CellGroupData[{ +Cell[13619, 384, 823, 22, 36, "Input",ExpressionUUID->"5708b8fe-ecb9-48e3-bdf5-1917d567b9d1"], +Cell[14445, 408, 1849, 37, 414, "Output",ExpressionUUID->"eb599672-ab4e-4417-8cf9-51f42f4e6007"] +}, Open ]], +Cell[CellGroupData[{ +Cell[16331, 450, 314, 8, 36, "Input",ExpressionUUID->"f0e36d44-f88a-4c9f-8cb2-6111f2bf3d7b"], +Cell[16648, 460, 1559, 47, 109, "Output",ExpressionUUID->"c614e50c-aab6-4322-bba0-178dc2736e35"] +}, Open ]], +Cell[CellGroupData[{ +Cell[18244, 512, 315, 8, 36, "Input",ExpressionUUID->"a1e0bf23-6fdd-4a52-8121-5f5d46287b6f"], +Cell[18562, 522, 1767, 54, 109, "Output",ExpressionUUID->"32d61393-77a8-4941-8234-3fc6a562cf4c"] +}, Open ]] +}, Open ]] +} +] +*) + From 4e2d0dcda6d721bfc190e26f1fbff2856acc0a0a Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Thu, 2 Feb 2023 13:15:53 +0000 Subject: [PATCH 021/128] *** reproducible 2nd place on Iris leaderboard *** --- tests/test_iris.py | 102 ++++++++++++++++----------------------------- 1 file changed, 37 insertions(+), 65 deletions(-) diff --git a/tests/test_iris.py b/tests/test_iris.py index 108a061..64d6b39 100644 --- a/tests/test_iris.py +++ b/tests/test_iris.py @@ -4,21 +4,22 @@ import ml_collections import numpy import optax +import scipy from flax.training import train_state from tqdm import tqdm from neurallogic import ( hard_and, + hard_dropout, hard_majority, + hard_masks, hard_not, hard_or, hard_xor, - hard_dropout, - hard_masks, - real_encoder, harden, harden_layer, neural_logic_net, + real_encoder, ) from tests import utils @@ -126,62 +127,29 @@ def nln_iris(type, x, training: bool): return x -def nln_binary_iris_95_27(type, x, training: bool): - dtype = jax.numpy.float32 - mask_layer_size = 90 - x = hard_masks.mask_to_true_layer(type)(mask_layer_size, dtype=dtype)(x) - x = hard_majority.majority_layer(type)()(x) - x = x.ravel() - ######################################################## - x = harden_layer.harden_layer(type)(x) - x = x.reshape((num_classes, int(x.shape[0] / num_classes))) - x = x.sum(-1) - return x - - -def nln_binary_iris_95_6(type, x, training: bool): - dtype = jax.numpy.float32 - mask_layer_size = 120 - x = hard_masks.mask_to_true_layer(type)(mask_layer_size, dtype=dtype)(x) - x = hard_majority.majority_layer(type)()(x) - x = x.ravel() - ######################################################## - x = harden_layer.harden_layer(type)(x) - x = x.reshape((num_classes, int(x.shape[0] / num_classes))) - x = x.sum(-1) - return x - - -def nln_binary_iris_95_53(type, x, training: bool): - dtype = jax.numpy.float32 - mask_layer_size = 150 - x = hard_masks.mask_to_true_layer(type)(mask_layer_size, dtype=dtype)(x) - x = hard_majority.majority_layer(type)()(x) - x = x.ravel() - ######################################################## - x = harden_layer.harden_layer(type)(x) - x = x.reshape((num_classes, int(x.shape[0] / num_classes))) - x = x.sum(-1) - return x - - -def nln_binary_iris_95_7(type, x, training: bool): - dtype = jax.numpy.float32 - mask_layer_size = 900 - x = hard_masks.mask_to_true_layer(type)(mask_layer_size, dtype=dtype)(x) - x = hard_majority.majority_layer(type)()(x) - ######################################################## - x = harden_layer.harden_layer(type)(x) - x = x.reshape((num_classes, int(x.shape[0] / num_classes))) - x = x.sum(-1) - return x +""" +| Technique/Accuracy | Mean | 5 %ile | 95 %ile | Min | Max | +| ------------------ | -------------- | ------- | ------- | ------ | ------ | +| Tsetlin | 95.0 +/- 0.2 | 86.7 | 100.0 | 80.0 | 100.0 | +| dB | 94.2 +/- 0.1 | 86.7 | 100.0 | 80.0 | 100.0 | +| Neural network | 93.8 +/- 0.2 | 86.7 | 100.0 | 80.0 | 100.0 | +| SVM | 93.6 +/- 0.3 | 86.7 | 100.0 | 76.7 | 100.0 | +| Naive Bayes | 91.6 +/- 0.3 | 83.3 | 96.7 | 70.0 | 100.0 | +Source: https://arxiv.org/pdf/1804.01508.pdf +""" +# mean: 94.18, sem: 0.13, min: 80.00, max: 100.00, 5%: 86.67, 95%: 100.00 def nln_binary_iris(type, x, training: bool): dtype = jax.numpy.float32 - mask_layer_size = 120 - x = hard_masks.mask_to_true_layer(type)(mask_layer_size, dtype=dtype)(x) + x = hard_masks.mask_to_true_layer(type)(120, dtype=dtype)(x) x = hard_majority.majority_layer(type)()(x) + x = hard_dropout.hard_dropout(type)( + rate=0.25, + dropout_value=0.0, + deterministic=not training, + dtype=dtype, + )(x) ######################################################## x = harden_layer.harden_layer(type)(x) x = x.reshape((num_classes, int(x.shape[0] / num_classes))) @@ -302,10 +270,10 @@ def train_and_evaluate( # print(f"\ttest_accuracy: {test_accuracy * 100:.2f}") # print("\n") - # print( - # "epoch:% 3d, train_loss: %.4f, train_accuracy: %.2f, test_loss: %.4f, test_accuracy: %.2f" - # % (epoch, train_loss, train_accuracy * 100, test_loss, test_accuracy * 100) - # ) + print( + "epoch:% 3d, train_loss: %.4f, train_accuracy: %.2f, test_loss: %.4f, test_accuracy: %.2f" + % (epoch, train_loss, train_accuracy * 100, test_loss, test_accuracy * 100) + ) # return trained state and final test_accuracy return state, test_accuracy @@ -335,7 +303,7 @@ def get_config(): config.learning_rate = 0.01 config.momentum = 0.9 config.batch_size = 120 - config.num_epochs = 400 + config.num_epochs = 2 # 500 for paper return config @@ -368,7 +336,7 @@ def test_iris(): rng = jax.random.PRNGKey(0) print(soft.tabulate(rng, features[0:1], training=False)) - num_experiments = 25 + num_experiments = 1 # 1000 for paper final_test_accuracies = [] for i in range(num_experiments): # Split features and labels into 80% training and 20% test @@ -385,11 +353,15 @@ def test_iris(): ) final_test_accuracies.append(final_test_accuracy) print(f"{i}: final test accuracy: {final_test_accuracy * 100:.2f}") - - # print mean, min, max, lowest 5%, highest 5% of final test accuracies - print( - f"mean: {numpy.mean(final_test_accuracies) * 100:.2f}, min: {numpy.min(final_test_accuracies) * 100:.2f}, max: {numpy.max(final_test_accuracies) * 100:.2f}, lowest 5%: {numpy.quantile(final_test_accuracies, 0.05) * 100:.2f}, highest 5%: {numpy.quantile(final_test_accuracies, 0.95) * 100:.2f}" - ) + # print mean, standard error of the mean, min, max, lowest 5%, highest 5% of final test accuracies + print( + f"mean: {numpy.mean(final_test_accuracies) * 100:.2f}, " + f"sem: {scipy.stats.sem(final_test_accuracies) * 100:.2f}, " + f"min: {numpy.min(final_test_accuracies) * 100:.2f}, " + f"max: {numpy.max(final_test_accuracies) * 100:.2f}, " + f"5%: {numpy.percentile(final_test_accuracies, 5) * 100:.2f}, " + f"95%: {numpy.percentile(final_test_accuracies, 95) * 100:.2f}" + ) # Check symbolic net # _, hard, symbolic = neural_logic_net.net(lambda type, x: nln(type, x)) From ee32063b8294a07b14b3b26c8300c640b819baa5 Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Mon, 6 Feb 2023 18:05:31 +0000 Subject: [PATCH 022/128] *** 95.87% on noisy xor bookmark *** --- neurallogic/hard_and.py | 5 +- neurallogic/harden_layer.py | 20 +- neurallogic/neural_logic_net.py | 8 +- tests/test_iris.py | 1 + tests/test_noisy_xor.py | 336 +++++++++++++++++++++++++++----- 5 files changed, 311 insertions(+), 59 deletions(-) diff --git a/neurallogic/hard_and.py b/neurallogic/hard_and.py index 7aa6867..2fd58b1 100644 --- a/neurallogic/hard_and.py +++ b/neurallogic/hard_and.py @@ -23,14 +23,15 @@ def hard_and_neuron(w, x): # TODO: move initialization to separate file -def initialize_near_to_zero(): +# TODO: simplify initialization to avoid the need to specify a guassian mean and std +def initialize_near_to_zero(mean=-1, std=0.5): # TODO: investigate better initialization def init(key, shape, dtype): dtype = jax.dtypes.canonicalize_dtype(dtype) # Sample from standard normal distribution (zero mean, unit variance) x = jax.random.normal(key, shape, dtype) # Transform to a normal distribution with mean -1 and standard deviation 0.5 - x = 0.5 * x - 1 + x = std * x + mean x = jax.numpy.clip(x, 0.001, 0.999) return x diff --git a/neurallogic/harden_layer.py b/neurallogic/harden_layer.py index a2d6665..0024a98 100644 --- a/neurallogic/harden_layer.py +++ b/neurallogic/harden_layer.py @@ -7,21 +7,27 @@ def harden_element(x): # non-differentiable return jax.lax.cond(x > 0.5, lambda _: 1.0, lambda _: 0.0, None) + def straight_through_harden_element(x): - # Create an exactly-zero expression with Sterbenz lemma that has - # an exactly-one gradient. - zero = x - jax.lax.stop_gradient(x) - return zero + jax.lax.stop_gradient(harden_element(x)) + # Create an exactly-zero expression with Sterbenz lemma that has + # an exactly-one gradient. + zero = x - jax.lax.stop_gradient(x) + return zero + jax.lax.stop_gradient(harden_element(x)) + soft_harden_layer = jax.vmap(straight_through_harden_element) + def hard_harden_layer(x): return x -#TODO: can we harden arbitrary tensors? -#TODO: is this correct? + +# TODO: can we harden arbitrary tensors? +# TODO: is this correct? def symbolic_harden_layer(x): return x -harden_layer = neural_logic_net.select(soft_harden_layer, hard_harden_layer, symbolic_harden_layer) +harden_layer = neural_logic_net.select( + soft_harden_layer, hard_harden_layer, symbolic_harden_layer +) diff --git a/neurallogic/neural_logic_net.py b/neurallogic/neural_logic_net.py index a2375ae..4f65489 100644 --- a/neurallogic/neural_logic_net.py +++ b/neurallogic/neural_logic_net.py @@ -21,12 +21,12 @@ def __call__(self, x, **kwargs): class HardNet(nn.Module): @nn.compact - def __call__(self, x): - return f(NetType.Hard, x) + def __call__(self, x, **kwargs): + return f(NetType.Hard, x, **kwargs) class SymbolicNet(nn.Module): @nn.compact - def __call__(self, x): - return f(NetType.Symbolic, x) + def __call__(self, x, **kwargs): + return f(NetType.Symbolic, x, **kwargs) return SoftNet(), HardNet(), SymbolicNet() diff --git a/tests/test_iris.py b/tests/test_iris.py index 64d6b39..1b0b80b 100644 --- a/tests/test_iris.py +++ b/tests/test_iris.py @@ -139,6 +139,7 @@ def nln_iris(type, x, training: bool): Source: https://arxiv.org/pdf/1804.01508.pdf """ + # mean: 94.18, sem: 0.13, min: 80.00, max: 100.00, 5%: 86.67, 95%: 100.00 def nln_binary_iris(type, x, training: bool): dtype = jax.numpy.float32 diff --git a/tests/test_noisy_xor.py b/tests/test_noisy_xor.py index 289302d..759ebff 100644 --- a/tests/test_noisy_xor.py +++ b/tests/test_noisy_xor.py @@ -1,43 +1,57 @@ +import sys from pathlib import Path import jax import ml_collections import numpy import optax +import scipy +from flax import linen as nn from flax.training import train_state +from jax.config import config from tqdm import tqdm from neurallogic import ( hard_and, + hard_dropout, hard_majority, + hard_masks, hard_not, hard_or, hard_xor, - hard_dropout, harden, harden_layer, neural_logic_net, ) from tests import utils +# config.update("jax_enable_x64", True) + -def check_symbolic(nets, data, trained_state): - x_training, y_training, x_test, y_test = get_train_and_test_data(data) +def check_symbolic(nets, data, trained_state, dropout_rng): + x_training, y_training, x_test, y_test = data _, hard, symbolic = nets - _, test_loss, test_accuracy = apply_model_with_grad(trained_state, x_test, y_test) + _, test_loss, test_accuracy = apply_model_with_grad( + trained_state, x_test, y_test, dropout_rng + ) print( "soft_net: final test_loss: %.4f, final test_accuracy: %.2f" % (test_loss, test_accuracy * 100) ) hard_weights = harden.hard_weights(trained_state.params) - hard_trained_state = train_state.TrainState.create( - apply_fn=hard.apply, params=hard_weights, tx=optax.sgd(1.0, 1.0) + hard_trained_state = TrainState.create( + apply_fn=hard.apply, + params=hard_weights, + tx=optax.sgd(1.0, 1.0), + dropout_rng=dropout_rng, ) hard_input = harden.harden(x_test) - hard_test_accuracy = apply_hard_model(hard_trained_state, hard_input, y_test) + hard_test_accuracy = apply_hard_model_to_data( + hard_trained_state, hard_input, y_test + ) print("hard_net: final test_accuracy: %.2f" % (hard_test_accuracy * 100)) assert numpy.isclose(test_accuracy, hard_test_accuracy, atol=0.0001) - if True: + if False: symbolic_weights = hard_weights # utils.make_symbolic(hard_weights) symbolic_trained_state = train_state.TrainState.create( apply_fn=symbolic.apply, params=symbolic_weights, tx=optax.sgd(1.0, 1.0) @@ -75,8 +89,8 @@ def get_data(): return training_data, test_data -# 100% test accuracy -def nln(type, x, training: bool): +# 100% test accuracy (at some point) +def nln_1(type, x, training: bool): x = hard_and.and_layer(type)(20)(x) x = hard_not.not_layer(type)(4)(x) x = x.ravel() @@ -87,17 +101,195 @@ def nln(type, x, training: bool): return x -def nln_experimental(type, x, training: bool): - not_x = jax.numpy.logical_not(x) - input = jax.numpy.concatenate([x, not_x], axis=0) - x = hard_xor.xor_layer(type)(100)(input) - # x = hard_not.not_layer(type)(4)(x) +# 77.83% +def nln_2(type, x, training: bool): + dtype = jax.numpy.float64 + layer_size = 64 # 64 + x = hard_and.and_layer(type)(layer_size)(x) + x = hard_or.or_layer(type)(layer_size)(x) + x = hard_not.not_layer(type)(4)(x) x = x.ravel() - x = hard_dropout.hard_dropout(type)( - rate=0.5, dropout_value=0.0, deterministic=not training - )(x) + x = jax.numpy.array([x]) + x = hard_majority.majority_layer(type)()(x) + z = 1 - x + x = jax.numpy.concatenate([x, z], axis=0) + ######################################################## + # No need to harden here, since we're using majority for 2 classes + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) + return x + + +# 81.24 +def nln_3(type, x, training: bool): + y = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, y], axis=0) + dtype = jax.numpy.float64 + layer_size = 32 # 64 + x = hard_and.and_layer(type)(layer_size)(x) + x = hard_or.or_layer(type)(layer_size)(x) + x = hard_not.not_layer(type)(4)(x) + x = x.ravel() + x = jax.numpy.array([x]) + x = hard_majority.majority_layer(type)()(x) + z = 1 - x + x = jax.numpy.concatenate([x, z], axis=0) + ######################################################## + # No need to harden here, since we're using majority for 2 classes + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) + return x + + +# 82.30, but lots more high 90s +def nln_4(type, x, training: bool): + y = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, y], axis=0) + dtype = jax.numpy.float64 + layer_size = 64 # 64 + x = hard_and.and_layer(type)(layer_size)(x) + x = hard_or.or_layer(type)(layer_size)(x) + x = hard_not.not_layer(type)(8)(x) + x = x.ravel() + x = x.reshape((64, 8)) + x = hard_majority.majority_layer(type)()(x) + x = x.reshape((8, 8)) + x = hard_majority.majority_layer(type)()(x) + x = x.reshape((1, 8)) + x = hard_majority.majority_layer(type)()(x) + z = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, z], axis=0) + ######################################################## + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) + return x + + +# 93.26 +def nln_5(type, x, training: bool): + y = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, y], axis=0) + dtype = jax.numpy.float64 + layer_size = 128 # 64 + x = hard_and.and_layer(type)(layer_size)(x) + x = x.reshape((16, 8)) + x = hard_majority.majority_layer(type)()(x) + x = hard_not.not_layer(type)(8)(x) + x = x.reshape((16, 8)) + x = hard_majority.majority_layer(type)()(x) + x = hard_not.not_layer(type)(2)(x) + x = x.reshape((8, 4)) + x = hard_majority.majority_layer(type)()(x) + x = x.reshape((8, 1)) + x = hard_majority.majority_layer(type)()(x) + z = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, z], axis=0) + ######################################################## + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) + return x + + +# 93.90 +def nln_6(type, x, training: bool): + y = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, y], axis=0) + dtype = jax.numpy.float64 + layer_size = 128 + x = hard_and.and_layer(type)(layer_size)(x) + x = hard_not.not_layer(type)(8)(x) + x = x.reshape((64, 16)) + x = hard_majority.majority_layer(type)()(x) + x = hard_not.not_layer(type)(4)(x) + x = x.reshape((16, 16)) + x = hard_majority.majority_layer(type)()(x) + x = hard_not.not_layer(type)(2)(x) + x = x.reshape((8, 4)) + x = hard_majority.majority_layer(type)()(x) + x = x.reshape((8, 1)) + x = hard_majority.majority_layer(type)()(x) + z = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, z], axis=0) + ######################################################## + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) + return x + + +# 94.18 with peak_value=0.05 not 0.01 +def nln_7(type, x, training: bool): + y = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, y], axis=0) + dtype = jax.numpy.float64 + layer_size = 256 + x = hard_and.and_layer(type)(layer_size)(x) + x = hard_not.not_layer(type)(4)(x) + x = x.reshape((64, 16)) + x = hard_majority.majority_layer(type)()(x) + x = hard_not.not_layer(type)(4)(x) + x = x.reshape((16, 16)) + x = hard_majority.majority_layer(type)()(x) + x = hard_not.not_layer(type)(2)(x) + x = x.reshape((8, 4)) + x = hard_majority.majority_layer(type)()(x) + x = x.reshape((8, 1)) + x = hard_majority.majority_layer(type)()(x) + z = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, z], axis=0) + ######################################################## + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) + return x + + +# mean: 95.00, sem: 0.76, min: 68.84, max: 100.00, 5%: 75.72, 95%: 100.00 +def nln_8(type, x, training: bool): + y = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, y], axis=0) + dtype = jax.numpy.float64 + layer_size = 128 + x = hard_and.and_layer(type)(layer_size)(x) + x = hard_not.not_layer(type)(4)(x) + x = x.reshape((32, 16)) + x = hard_majority.majority_layer(type)()(x) + x = hard_not.not_layer(type)(4)(x) + x = x.reshape((16, 8)) + x = hard_majority.majority_layer(type)()(x) + x = hard_not.not_layer(type)(2)(x) + x = x.reshape((8, 4)) + x = hard_majority.majority_layer(type)()(x) + x = x.reshape((8, 1)) + x = hard_majority.majority_layer(type)()(x) + z = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, z], axis=0) + ######################################################## + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) + return x + + +# mean: 95.87, sem: 0.64, min: 64.28, max: 100.00, 5%: 80.49, 95%: 100.00 +def nln(type, x, training: bool): + y = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, y], axis=0) + dtype = jax.numpy.float64 + layer_size = 128 + x = hard_and.and_layer(type)(layer_size)(x) + x = hard_not.not_layer(type)(4)(x) + x = x.reshape((32, 16)) + x = hard_majority.majority_layer(type)()(x) + x = hard_not.not_layer(type)(4)(x) + x = x.reshape((16, 8)) + x = hard_majority.majority_layer(type)()(x) + x = hard_not.not_layer(type)(2)(x) + x = x.reshape((8, 4)) + x = hard_majority.majority_layer(type)()(x) + x = hard_not.not_layer(type)(1)(x) + x = x.reshape((8, 1)) + x = hard_majority.majority_layer(type)()(x) + z = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, z], axis=0) ######################################################## - x = harden_layer.harden_layer(type)(x) x = x.reshape((num_classes, int(x.shape[0] / num_classes))) x = x.sum(-1) return x @@ -114,10 +306,35 @@ class TrainState(train_state.TrainState): def create_train_state(net, rng, dropout_rng, config): mock_input = jax.numpy.ones([1, num_features]) soft_weights = net.init(rng, mock_input, training=False)["params"] - tx = optax.sgd(config.learning_rate, config.momentum) - # tx = optax.yogi(config.learning_rate) - # tx = optax.noisy_sgd(config.learning_rate, config.momentum) - # tx = optax.adagrad(config.learning_rate) # investigate this one + + """ + schedule = optax.linear_onecycle_schedule( + transition_steps=3000, + peak_value=1.0, + pct_start=0.3, + pct_final=0.85, + div_factor=25.0, + final_div_factor=1e4, + ) + schedule = optax.linear_schedule( + init_value=0.01, + end_value=0.01, + transition_steps=config.num_epochs, + transition_begin=0, + ) + """ + schedule = optax.warmup_cosine_decay_schedule( + init_value=0.01, + peak_value=0.01, + warmup_steps=100, + decay_steps=config.num_epochs - 100, + end_value=0.01, + ) + tx = optax.chain( + # optax.clip(1.0), + optax.adamw(learning_rate=schedule), + ) + return TrainState.create( apply_fn=net.apply, params=soft_weights, tx=tx, dropout_rng=dropout_rng ) @@ -223,12 +440,12 @@ def train_and_evaluate( # print(f"test_accuracy: {test_accuracy * 100:.2f}") # print("\n") - # print( - # "epoch:% 3d, train_loss: %.4f, train_accuracy: %.2f, test_loss: %.4f, test_accuracy: %.2f" - # % (epoch, train_loss, train_accuracy * 100, test_loss, test_accuracy * 100) - # ) + print( + "epoch:% 3d, train_loss: %.4f, train_accuracy: %.2f, test_loss: %.4f, test_accuracy: %.2f" + % (epoch, train_loss, train_accuracy * 100, test_loss, test_accuracy * 100) + ) - return state + return state, test_accuracy def apply_hard_model(state, features, label): @@ -254,31 +471,58 @@ def get_config(): config = ml_collections.ConfigDict() config.learning_rate = 0.01 config.momentum = 0.9 - config.batch_size = 256 - config.num_epochs = 500 + config.batch_size = 5000 + config.num_epochs = 800 return config def test_noisy_xor(): - rng = jax.random.PRNGKey(0) - rng, int_rng, dropout_rng = jax.random.split(rng, 3) # Train net - soft, hard, symbolic = neural_logic_net.net( + soft, _, _ = neural_logic_net.net( lambda type, x, training: batch_nln(type, x, training) ) + x_training, y_training, x_test, y_test = get_train_and_test_data(get_data()) - print(soft.tabulate(rng, x_training[0:1], training=False)) - print(f"training_data.shape: {x_training.shape}") - print(f"test_data.shape: {x_test.shape}") - trained_state = train_and_evaluate( - int_rng, - dropout_rng, - soft, - (x_training, y_training, x_test, y_test), - get_config(), - ) + rng = jax.random.PRNGKey(0) + print(soft.tabulate(rng, x_training[0:1], training=False)) - # Check symbolic net - # _, hard, symbolic = neural_logic_net.net(lambda type, x: nln(type, x)) - # check_symbolic((soft, hard, symbolic), (training_data, test_data), trained_state) + num_experiments = 1 # 100 for paper + final_test_accuracies = [] + for i in range(num_experiments): + rng, int_rng, dropout_rng = jax.random.split(rng, 3) + trained_state, final_test_accuracy = train_and_evaluate( + int_rng, + dropout_rng, + soft, + (x_training, y_training, x_test, y_test), + get_config(), + ) + final_test_accuracies.append(final_test_accuracy) + print(f"{i}: final test accuracy: {final_test_accuracy * 100:.2f}") + # print mean, standard error of the mean, min, max, lowest 5%, highest 5% of final test accuracies + print( + f"mean: {numpy.mean(final_test_accuracies) * 100:.2f}, " + f"sem: {scipy.stats.sem(final_test_accuracies) * 100:.2f}, " + f"min: {numpy.min(final_test_accuracies) * 100:.2f}, " + f"max: {numpy.max(final_test_accuracies) * 100:.2f}, " + f"5%: {numpy.percentile(final_test_accuracies, 5) * 100:.2f}, " + f"95%: {numpy.percentile(final_test_accuracies, 95) * 100:.2f}" + ) + # numpy.set_printoptions(threshold=sys.maxsize) + # print(f"trained soft weights: {repr(trained_state.params)}") + # hard_weights = harden.hard_weights(trained_state.params) + # print(f"trained hard weights: {repr(hard_weights)}") + + """ + # Check symbolic net + _, hard, symbolic = neural_logic_net.net( + lambda type, x, training: nln(type, x, training) + ) + check_symbolic( + (soft, hard, symbolic), + (x_training, y_training, x_test, y_test), + trained_state, + dropout_rng, + ) + """ From 15bde550e8a6c2ffa2a49a0cceb661f7876ed4b0 Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Tue, 7 Feb 2023 13:01:56 +0000 Subject: [PATCH 023/128] *** 98% on noisy xor test set *** --- neurallogic/hard_majority.py | 15 ++- tests/test_noisy_xor.py | 239 ++++++----------------------------- 2 files changed, 55 insertions(+), 199 deletions(-) diff --git a/neurallogic/hard_majority.py b/neurallogic/hard_majority.py index 6c61eb2..ca9b31f 100644 --- a/neurallogic/hard_majority.py +++ b/neurallogic/hard_majority.py @@ -32,6 +32,7 @@ class SoftMajorityLayer(nn.Module): layer_size: The number of neurons in the layer. weights_init: The initializer function for the weight matrix. """ + @nn.compact def __call__(self, x): return soft_majority_layer(x) @@ -49,12 +50,22 @@ def __init__(self): def __call__(self, x): jaxpr = symbolic_generation.make_symbolic_flax_jaxpr( - self.hard_majority_layer, x) + self.hard_majority_layer, x + ) return symbolic_generation.symbolic_expression(jaxpr, x) majority_layer = neural_logic_net.select( lambda: SoftMajorityLayer(), lambda: HardMajorityLayer(), - lambda: SymbolicMajorityLayer() + lambda: SymbolicMajorityLayer(), ) + +# TODO: construct a majority-k generalisation of the above +# where k is the number of high-soft bits required for a majority +# and where k is a soft-bit parameter. Requires constructing +# a piecewise-continuous function (as per notebook). + + +# TODO: construct a soft-count layer from sorting/majority approach +# output is 1 high-soft bit that indicates the number of high-soft bits in the input diff --git a/tests/test_noisy_xor.py b/tests/test_noisy_xor.py index 759ebff..0522f99 100644 --- a/tests/test_noisy_xor.py +++ b/tests/test_noisy_xor.py @@ -89,203 +89,47 @@ def get_data(): return training_data, test_data -# 100% test accuracy (at some point) -def nln_1(type, x, training: bool): - x = hard_and.and_layer(type)(20)(x) - x = hard_not.not_layer(type)(4)(x) - x = x.ravel() - ######################################################## - x = harden_layer.harden_layer(type)(x) - x = x.reshape((num_classes, int(x.shape[0] / num_classes))) - x = x.sum(-1) - return x - - -# 77.83% -def nln_2(type, x, training: bool): - dtype = jax.numpy.float64 - layer_size = 64 # 64 - x = hard_and.and_layer(type)(layer_size)(x) - x = hard_or.or_layer(type)(layer_size)(x) - x = hard_not.not_layer(type)(4)(x) - x = x.ravel() - x = jax.numpy.array([x]) - x = hard_majority.majority_layer(type)()(x) - z = 1 - x - x = jax.numpy.concatenate([x, z], axis=0) - ######################################################## - # No need to harden here, since we're using majority for 2 classes - x = x.reshape((num_classes, int(x.shape[0] / num_classes))) - x = x.sum(-1) - return x - - -# 81.24 -def nln_3(type, x, training: bool): - y = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, y], axis=0) - dtype = jax.numpy.float64 - layer_size = 32 # 64 - x = hard_and.and_layer(type)(layer_size)(x) - x = hard_or.or_layer(type)(layer_size)(x) - x = hard_not.not_layer(type)(4)(x) - x = x.ravel() - x = jax.numpy.array([x]) - x = hard_majority.majority_layer(type)()(x) - z = 1 - x - x = jax.numpy.concatenate([x, z], axis=0) - ######################################################## - # No need to harden here, since we're using majority for 2 classes - x = x.reshape((num_classes, int(x.shape[0] / num_classes))) - x = x.sum(-1) - return x - - -# 82.30, but lots more high 90s -def nln_4(type, x, training: bool): - y = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, y], axis=0) - dtype = jax.numpy.float64 - layer_size = 64 # 64 - x = hard_and.and_layer(type)(layer_size)(x) - x = hard_or.or_layer(type)(layer_size)(x) - x = hard_not.not_layer(type)(8)(x) - x = x.ravel() - x = x.reshape((64, 8)) - x = hard_majority.majority_layer(type)()(x) - x = x.reshape((8, 8)) - x = hard_majority.majority_layer(type)()(x) - x = x.reshape((1, 8)) - x = hard_majority.majority_layer(type)()(x) - z = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, z], axis=0) - ######################################################## - x = x.reshape((num_classes, int(x.shape[0] / num_classes))) - x = x.sum(-1) - return x - - -# 93.26 -def nln_5(type, x, training: bool): - y = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, y], axis=0) - dtype = jax.numpy.float64 - layer_size = 128 # 64 - x = hard_and.and_layer(type)(layer_size)(x) - x = x.reshape((16, 8)) - x = hard_majority.majority_layer(type)()(x) - x = hard_not.not_layer(type)(8)(x) - x = x.reshape((16, 8)) - x = hard_majority.majority_layer(type)()(x) - x = hard_not.not_layer(type)(2)(x) - x = x.reshape((8, 4)) - x = hard_majority.majority_layer(type)()(x) - x = x.reshape((8, 1)) - x = hard_majority.majority_layer(type)()(x) - z = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, z], axis=0) - ######################################################## - x = x.reshape((num_classes, int(x.shape[0] / num_classes))) - x = x.sum(-1) - return x - - -# 93.90 -def nln_6(type, x, training: bool): - y = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, y], axis=0) - dtype = jax.numpy.float64 - layer_size = 128 - x = hard_and.and_layer(type)(layer_size)(x) - x = hard_not.not_layer(type)(8)(x) - x = x.reshape((64, 16)) - x = hard_majority.majority_layer(type)()(x) - x = hard_not.not_layer(type)(4)(x) - x = x.reshape((16, 16)) - x = hard_majority.majority_layer(type)()(x) - x = hard_not.not_layer(type)(2)(x) - x = x.reshape((8, 4)) - x = hard_majority.majority_layer(type)()(x) - x = x.reshape((8, 1)) - x = hard_majority.majority_layer(type)()(x) - z = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, z], axis=0) - ######################################################## - x = x.reshape((num_classes, int(x.shape[0] / num_classes))) - x = x.sum(-1) - return x - - -# 94.18 with peak_value=0.05 not 0.01 -def nln_7(type, x, training: bool): - y = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, y], axis=0) - dtype = jax.numpy.float64 - layer_size = 256 - x = hard_and.and_layer(type)(layer_size)(x) - x = hard_not.not_layer(type)(4)(x) - x = x.reshape((64, 16)) - x = hard_majority.majority_layer(type)()(x) - x = hard_not.not_layer(type)(4)(x) - x = x.reshape((16, 16)) - x = hard_majority.majority_layer(type)()(x) - x = hard_not.not_layer(type)(2)(x) - x = x.reshape((8, 4)) - x = hard_majority.majority_layer(type)()(x) - x = x.reshape((8, 1)) - x = hard_majority.majority_layer(type)()(x) - z = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, z], axis=0) - ######################################################## - x = x.reshape((num_classes, int(x.shape[0] / num_classes))) - x = x.sum(-1) - return x - - -# mean: 95.00, sem: 0.76, min: 68.84, max: 100.00, 5%: 75.72, 95%: 100.00 -def nln_8(type, x, training: bool): - y = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, y], axis=0) - dtype = jax.numpy.float64 - layer_size = 128 - x = hard_and.and_layer(type)(layer_size)(x) - x = hard_not.not_layer(type)(4)(x) - x = x.reshape((32, 16)) - x = hard_majority.majority_layer(type)()(x) - x = hard_not.not_layer(type)(4)(x) - x = x.reshape((16, 8)) - x = hard_majority.majority_layer(type)()(x) - x = hard_not.not_layer(type)(2)(x) - x = x.reshape((8, 4)) - x = hard_majority.majority_layer(type)()(x) - x = x.reshape((8, 1)) - x = hard_majority.majority_layer(type)()(x) - z = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, z], axis=0) - ######################################################## - x = x.reshape((num_classes, int(x.shape[0] / num_classes))) - x = x.sum(-1) - return x - - -# mean: 95.87, sem: 0.64, min: 64.28, max: 100.00, 5%: 80.49, 95%: 100.00 +""" +| Technique/Accuracy | Mean | 5 %ile | 95 %ile | Min | Max | +| ------------------- | -------------- | ------- | ------- | ------ | ------ | +| Tsetlin | 99.3 +/- 0.3 | 95.9 | 100.0 | 91.6 | 100.0 | +| dB | 98.0 +/- 0.4 | 93.9 | 100.0 | 70.3 | 100.0 | +| Neural network | 95.4 +/- 0.5 | 90.1 | 98.6 | 88.2 | 99.9 | +| SVM | 58.0 +/- 0.3 | 56.4 | 59.2 | 55.4 | 66.5 | +| Naive Bayes | 49.8 +/- 0.2 | 48.3 | 51.0 | 41.3 | 52.7 | +| Logistic regression | 49.8 +/- 0.3 | 47.8 | 51.1 | 41.1 | 53.1 | + +Source: https://arxiv.org/pdf/1804.01508.pdf +""" + +""" + schedule = optax.warmup_cosine_decay_schedule( + init_value=0.01, + peak_value=0.1, + warmup_steps=100, + decay_steps=config.num_epochs - 100, + end_value=0.05, + ) + tx = optax.chain( + # optax.clip(1.0), + #optax.adamw(learning_rate=schedule), + optax.adam(learning_rate=schedule), + ) +""" +# mean: 98.04, sem: 0.42, min: 70.32, max: 100.00, 5%: 93.90, 95%: 100.00 def nln(type, x, training: bool): y = jax.vmap(lambda x: 1 - x)(x) x = jax.numpy.concatenate([x, y], axis=0) - dtype = jax.numpy.float64 - layer_size = 128 - x = hard_and.and_layer(type)(layer_size)(x) - x = hard_not.not_layer(type)(4)(x) - x = x.reshape((32, 16)) - x = hard_majority.majority_layer(type)()(x) - x = hard_not.not_layer(type)(4)(x) - x = x.reshape((16, 8)) + dtype = jax.numpy.float32 + layer_size = 48 + x = hard_and.and_layer(type)(layer_size, dtype=dtype)(x) + x = hard_not.not_layer(type)(8, dtype=dtype)(x) # 48 x 8 = 384 + x = x.reshape((32, 12)) # 32 x 12 = 384 x = hard_majority.majority_layer(type)()(x) - x = hard_not.not_layer(type)(2)(x) - x = x.reshape((8, 4)) + x = x.reshape((4, 8)) # 4 x 8 = 32 x = hard_majority.majority_layer(type)()(x) - x = hard_not.not_layer(type)(1)(x) - x = x.reshape((8, 1)) + # Final majority should have reasonable width + x = x.reshape((4, 1)) # 4 x 1 = 4 x = hard_majority.majority_layer(type)()(x) z = jax.vmap(lambda x: 1 - x)(x) x = jax.numpy.concatenate([x, z], axis=0) @@ -325,14 +169,15 @@ def create_train_state(net, rng, dropout_rng, config): """ schedule = optax.warmup_cosine_decay_schedule( init_value=0.01, - peak_value=0.01, + peak_value=0.1, warmup_steps=100, decay_steps=config.num_epochs - 100, - end_value=0.01, + end_value=0.05, ) tx = optax.chain( # optax.clip(1.0), - optax.adamw(learning_rate=schedule), + # optax.adamw(learning_rate=schedule), + optax.adam(learning_rate=schedule), ) return TrainState.create( @@ -472,7 +317,7 @@ def get_config(): config.learning_rate = 0.01 config.momentum = 0.9 config.batch_size = 5000 - config.num_epochs = 800 + config.num_epochs = 1000 return config @@ -514,8 +359,8 @@ def test_noisy_xor(): # hard_weights = harden.hard_weights(trained_state.params) # print(f"trained hard weights: {repr(hard_weights)}") - """ # Check symbolic net + """ _, hard, symbolic = neural_logic_net.net( lambda type, x, training: nln(type, x, training) ) From 9cdd5107e8e11f823c217106a66f4b9b221d8608 Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Tue, 7 Feb 2023 15:06:23 +0000 Subject: [PATCH 024/128] *** 91% without hard-error on noisy xor *** --- tests/test_noisy_xor.py | 75 ++++++++++++++++++++++++++++++----------- 1 file changed, 55 insertions(+), 20 deletions(-) diff --git a/tests/test_noisy_xor.py b/tests/test_noisy_xor.py index 0522f99..a736f67 100644 --- a/tests/test_noisy_xor.py +++ b/tests/test_noisy_xor.py @@ -89,19 +89,6 @@ def get_data(): return training_data, test_data -""" -| Technique/Accuracy | Mean | 5 %ile | 95 %ile | Min | Max | -| ------------------- | -------------- | ------- | ------- | ------ | ------ | -| Tsetlin | 99.3 +/- 0.3 | 95.9 | 100.0 | 91.6 | 100.0 | -| dB | 98.0 +/- 0.4 | 93.9 | 100.0 | 70.3 | 100.0 | -| Neural network | 95.4 +/- 0.5 | 90.1 | 98.6 | 88.2 | 99.9 | -| SVM | 58.0 +/- 0.3 | 56.4 | 59.2 | 55.4 | 66.5 | -| Naive Bayes | 49.8 +/- 0.2 | 48.3 | 51.0 | 41.3 | 52.7 | -| Logistic regression | 49.8 +/- 0.3 | 47.8 | 51.1 | 41.1 | 53.1 | - -Source: https://arxiv.org/pdf/1804.01508.pdf -""" - """ schedule = optax.warmup_cosine_decay_schedule( init_value=0.01, @@ -116,8 +103,12 @@ def get_data(): optax.adam(learning_rate=schedule), ) """ +# with (4,1) error: # mean: 98.04, sem: 0.42, min: 70.32, max: 100.00, 5%: 93.90, 95%: 100.00 -def nln(type, x, training: bool): + + +# mean: 82.63, sem: 1.41, min: 48.86, max: 100.00, 5%: 59.70, 95%: 100.00 +def nln_1(type, x, training: bool): y = jax.vmap(lambda x: 1 - x)(x) x = jax.numpy.concatenate([x, y], axis=0) dtype = jax.numpy.float32 @@ -129,7 +120,7 @@ def nln(type, x, training: bool): x = x.reshape((4, 8)) # 4 x 8 = 32 x = hard_majority.majority_layer(type)()(x) # Final majority should have reasonable width - x = x.reshape((4, 1)) # 4 x 1 = 4 + x = x.reshape((1, 4)) # 4 x 1 = 4 x = hard_majority.majority_layer(type)()(x) z = jax.vmap(lambda x: 1 - x)(x) x = jax.numpy.concatenate([x, z], axis=0) @@ -139,6 +130,49 @@ def nln(type, x, training: bool): return x +""" +| Technique/Accuracy | Mean | 5 %ile | 95 %ile | Min | Max | +| ------------------- | -------------- | ------- | ------- | ------ | ------ | +| Tsetlin | 99.3 +/- 0.3 | 95.9 | 100.0 | 91.6 | 100.0 | +| Neural network | 95.4 +/- 0.5 | 90.1 | 98.6 | 88.2 | 99.9 | +| dB | 91.1 +/- 1.2 | 48.9 | 98.3 | 48.9 | 99.2 | +| SVM | 58.0 +/- 0.3 | 56.4 | 59.2 | 55.4 | 66.5 | +| Naive Bayes | 49.8 +/- 0.2 | 48.3 | 51.0 | 41.3 | 52.7 | +| Logistic regression | 49.8 +/- 0.3 | 47.8 | 51.1 | 41.1 | 53.1 | + +Source: https://arxiv.org/pdf/1804.01508.pdf +""" + + +""" +SGD +config.learning_rate = 2.0 +config.momentum = 0.9 +config.batch_size = 5000 +config.num_epochs = 2000 +""" +# mean: 91.06, sem: 1.15, min: 48.86, max: 99.16, 5%: 48.86, 95%: 98.28 +def nln(type, x, training: bool): + y = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, y], axis=0) + dtype = jax.numpy.float32 + layer_size = 32 + x = hard_and.and_layer(type)(layer_size, dtype=dtype)(x) + x = hard_or.or_layer(type)(layer_size, dtype=dtype)(x) + x = hard_not.not_layer(type)(64, dtype=dtype)(x) # 32 x 64 = 2048 + x = x.reshape((64, 32)) # 64 x 32 = 2048 + x = hard_majority.majority_layer(type)()(x) + x = x.reshape((1, 64)) # 1 x 64 = 64 + x = hard_majority.majority_layer(type)()(x) + z = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, z], axis=0) + ######################################################## + # x = harden_layer.harden_layer(type)(x) + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) + return x + + def batch_nln(type, x, training: bool): return jax.vmap(lambda x: nln(type, x, training))(x) @@ -169,15 +203,16 @@ def create_train_state(net, rng, dropout_rng, config): """ schedule = optax.warmup_cosine_decay_schedule( init_value=0.01, - peak_value=0.1, + peak_value=0.01, warmup_steps=100, decay_steps=config.num_epochs - 100, - end_value=0.05, + end_value=0.01, ) tx = optax.chain( # optax.clip(1.0), # optax.adamw(learning_rate=schedule), - optax.adam(learning_rate=schedule), + # optax.adam(learning_rate=schedule), + optax.sgd(learning_rate=config.learning_rate, momentum=config.momentum), ) return TrainState.create( @@ -314,10 +349,10 @@ def apply_hard_model_to_data(state, features, labels): def get_config(): config = ml_collections.ConfigDict() - config.learning_rate = 0.01 + config.learning_rate = 2.0 config.momentum = 0.9 config.batch_size = 5000 - config.num_epochs = 1000 + config.num_epochs = 2000 return config From f347c9191bb2aae2ac2de2d872f5d737a49ecd88 Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Thu, 9 Feb 2023 12:16:55 +0000 Subject: [PATCH 025/128] experimental variant of hard majority --- neurallogic/hard_majority.py | 22 +++++++++++++++++++++- 1 file changed, 21 insertions(+), 1 deletion(-) diff --git a/neurallogic/hard_majority.py b/neurallogic/hard_majority.py index ca9b31f..79e7389 100644 --- a/neurallogic/hard_majority.py +++ b/neurallogic/hard_majority.py @@ -8,12 +8,32 @@ def majority_index(input_size: int) -> int: return (input_size - 1) // 2 -def soft_majority(x: jax.numpy.array) -> float: +def soft_majority_1(x: jax.numpy.array) -> float: index = majority_index(x.shape[-1]) sorted_x = jax.numpy.sort(x, axis=-1) return jax.numpy.take(sorted_x, index, axis=-1) +def soft_majority(x: jax.numpy.array) -> float: + index = majority_index(x.shape[-1]) + sorted_x = jax.numpy.sort(x, axis=-1) + majority_bit = jax.numpy.take(sorted_x, index, axis=-1) + # print(f"majority_bit: {majority_bit}") + margin = jax.numpy.abs(majority_bit - 0.5) + # print(f"margin: {margin}") + mean = jax.numpy.mean(x, axis=-1) + # print(f"mean: {mean}") + margin_delta = mean * margin + # print(f"margin_delta: {margin_delta}") + representative_bit = jax.numpy.where( + majority_bit > 0.5, + 0.5 + margin_delta, + majority_bit + margin_delta, + ) + # print(f"representative_bit: {representative_bit}") + return representative_bit + + def hard_majority(x: jax.numpy.array) -> bool: threshold = x.shape[-1] - majority_index(x.shape[-1]) return jax.numpy.sum(x, axis=-1) >= threshold From dd2437cba354e0f6a7d0de17f1acca9d98e6f82c Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Thu, 9 Feb 2023 12:17:34 +0000 Subject: [PATCH 026/128] experimental mask variants --- neurallogic/hard_masks.py | 15 ++++++++++++++- 1 file changed, 14 insertions(+), 1 deletion(-) diff --git a/neurallogic/hard_masks.py b/neurallogic/hard_masks.py index 702ac61..5fb3638 100644 --- a/neurallogic/hard_masks.py +++ b/neurallogic/hard_masks.py @@ -3,7 +3,7 @@ import jax from flax import linen as nn -from neurallogic import neural_logic_net, symbolic_generation +from neurallogic import neural_logic_net, symbolic_generation, hard_not def soft_mask_to_true(w: float, x: float) -> float: @@ -18,6 +18,14 @@ def soft_mask_to_true(w: float, x: float) -> float: return jax.numpy.maximum(x, 1.0 - w) +def soft_mask_to_true_alt(w: float, b: float) -> float: + return jax.numpy.where( + w > 0.5, + jax.numpy.where(b > 0.5, b, (2 * w - 1) * b + 1 - w), + jax.numpy.where(b > 0.5, -2 * w * (1 - b) + 1, 1 - w), + ) + + def hard_mask_to_true(w, x): return jax.numpy.logical_or(x, jax.numpy.logical_not(w)) @@ -44,6 +52,11 @@ def soft_mask_to_false(w: float, x: float) -> float: return 1.0 - jax.numpy.maximum(1.0 - x, 1.0 - w) +# 1 - DifferentiableHardAND[1-b, w] +def soft_mask_to_false_alt(w: float, b: float) -> float: + return 1 - soft_mask_to_true(1 - b, w) + + def hard_mask_to_false(w, x): return jax.numpy.logical_and(x, w) From 230f4c861f9f939740c8480b97d34976f8daf9ba Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Thu, 9 Feb 2023 12:17:55 +0000 Subject: [PATCH 027/128] reformat --- neurallogic/hard_not.py | 20 ++++++++++++++++---- 1 file changed, 16 insertions(+), 4 deletions(-) diff --git a/neurallogic/hard_not.py b/neurallogic/hard_not.py index 3c2da45..0b80d39 100644 --- a/neurallogic/hard_not.py +++ b/neurallogic/hard_not.py @@ -5,6 +5,10 @@ from neurallogic import neural_logic_net, symbolic_generation +# TODO: replace hard-clip in layers with this +def logistic_clip(x): + return jax.scipy.special.expit(3 * (2 * x - 1)) + def soft_not(w: float, x: float) -> float: """ @@ -40,7 +44,9 @@ class SoftNotLayer(nn.Module): @nn.compact def __call__(self, x): weights_shape = (self.layer_size, jax.numpy.shape(x)[-1]) - weights = self.param("bit_weights", self.weights_init, weights_shape, self.dtype) + weights = self.param( + "bit_weights", self.weights_init, weights_shape, self.dtype + ) x = jax.numpy.asarray(x, self.dtype) return soft_not_layer(weights, x) @@ -67,7 +73,13 @@ def __call__(self, x): not_layer = neural_logic_net.select( - lambda layer_size, weights_init=nn.initializers.uniform(1.0), dtype=jax.numpy.float32: SoftNotLayer(layer_size, weights_init, dtype), - lambda layer_size, weights_init=nn.initializers.uniform(1.0), dtype=jax.numpy.float32: HardNotLayer(layer_size), - lambda layer_size, weights_init=nn.initializers.uniform(1.0), dtype=jax.numpy.float32: SymbolicNotLayer(layer_size), + lambda layer_size, weights_init=nn.initializers.uniform( + 1.0 + ), dtype=jax.numpy.float32: SoftNotLayer(layer_size, weights_init, dtype), + lambda layer_size, weights_init=nn.initializers.uniform( + 1.0 + ), dtype=jax.numpy.float32: HardNotLayer(layer_size), + lambda layer_size, weights_init=nn.initializers.uniform( + 1.0 + ), dtype=jax.numpy.float32: SymbolicNotLayer(layer_size), ) From adf7415b2ad2ff378ecab119f2c1e82cd6fe0e35 Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Thu, 9 Feb 2023 12:18:21 +0000 Subject: [PATCH 028/128] **** noisy xor bookmark: 94.15 % *** --- tests/test_noisy_xor.py | 230 +++++++++++++++++++++++++++++++++++----- 1 file changed, 201 insertions(+), 29 deletions(-) diff --git a/tests/test_noisy_xor.py b/tests/test_noisy_xor.py index a736f67..cb4c8d5 100644 --- a/tests/test_noisy_xor.py +++ b/tests/test_noisy_xor.py @@ -25,7 +25,7 @@ ) from tests import utils -# config.update("jax_enable_x64", True) +config.update("jax_enable_x64", True) def check_symbolic(nets, data, trained_state, dropout_rng): @@ -130,20 +130,6 @@ def nln_1(type, x, training: bool): return x -""" -| Technique/Accuracy | Mean | 5 %ile | 95 %ile | Min | Max | -| ------------------- | -------------- | ------- | ------- | ------ | ------ | -| Tsetlin | 99.3 +/- 0.3 | 95.9 | 100.0 | 91.6 | 100.0 | -| Neural network | 95.4 +/- 0.5 | 90.1 | 98.6 | 88.2 | 99.9 | -| dB | 91.1 +/- 1.2 | 48.9 | 98.3 | 48.9 | 99.2 | -| SVM | 58.0 +/- 0.3 | 56.4 | 59.2 | 55.4 | 66.5 | -| Naive Bayes | 49.8 +/- 0.2 | 48.3 | 51.0 | 41.3 | 52.7 | -| Logistic regression | 49.8 +/- 0.3 | 47.8 | 51.1 | 41.1 | 53.1 | - -Source: https://arxiv.org/pdf/1804.01508.pdf -""" - - """ SGD config.learning_rate = 2.0 @@ -152,7 +138,7 @@ def nln_1(type, x, training: bool): config.num_epochs = 2000 """ # mean: 91.06, sem: 1.15, min: 48.86, max: 99.16, 5%: 48.86, 95%: 98.28 -def nln(type, x, training: bool): +def nln_2(type, x, training: bool): y = jax.vmap(lambda x: 1 - x)(x) x = jax.numpy.concatenate([x, y], axis=0) dtype = jax.numpy.float32 @@ -167,7 +153,175 @@ def nln(type, x, training: bool): z = jax.vmap(lambda x: 1 - x)(x) x = jax.numpy.concatenate([x, z], axis=0) ######################################################## - # x = harden_layer.harden_layer(type)(x) + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) + return x + + +""" +SGD +config.learning_rate = 2.0 +config.momentum = 0.9 +config.batch_size = 5000 +config.num_epochs = 2000 +""" + +# mean: 91.54, sem: 0.64, min: 48.86, max: 99.58, 5%: 83.09, 95%: 97.10 +def nln_3(type, x, training: bool): + y = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, y], axis=0) + + dtype = jax.numpy.float32 + layer_size = 64 + x = hard_and.and_layer(type)(layer_size, dtype=dtype)(x) + x = hard_or.or_layer(type)(layer_size, dtype=dtype)(x) + x = hard_not.not_layer(type)(16, dtype=dtype)(x) + + x = x.reshape((1, layer_size * 16)) + x = hard_majority.majority_layer(type)()(x) + + z = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, z], axis=0) + ######################################################## + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) + return x + + +""" +SGD +config.learning_rate = 1.0 +config.momentum = 0.9 +config.batch_size = 5000 +config.num_epochs = 2500 +""" + +# mean: 91.84, sem: 0.98, min: 48.86, max: 99.66, 5%: 70.30, 95%: 98.79 +def nln_4(type, x, training: bool): + y = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, y], axis=0) + + dtype = jax.numpy.float32 + layer_size = 32 + x = hard_and.and_layer(type)(layer_size, dtype=dtype)(x) + x = hard_or.or_layer(type)(layer_size, dtype=dtype)(x) + x = hard_not.not_layer(type)(16, dtype=dtype)(x) + + x = x.reshape((1, layer_size * 16)) + x = hard_majority.majority_layer(type)()(x) + + z = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, z], axis=0) + ######################################################## + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) + return x + + +# mean: 89.77, sem: 1.18, min: 48.80, max: 100.00, 5%: 67.40, 95%: 99.04 +def nln_5(type, x, training: bool): + y = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, y], axis=0) + + dtype = jax.numpy.float32 + layer_size = 32 + x = hard_and.and_layer(type)(layer_size, dtype=dtype)(x) + x = hard_or.or_layer(type)(layer_size, dtype=dtype)(x) + x = hard_not.not_layer(type)(8, dtype=dtype)(x) + + x = x.reshape((1, layer_size * 8)) + x = hard_majority.majority_layer(type)()(x) + + z = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, z], axis=0) + ######################################################## + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) + return x + + +# mean: 89.19, sem: 1.42, min: 48.86, max: 100.00, 5%: 51.14, 95%: 98.86 +def nln_6(type, x, training: bool): + y = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, y], axis=0) + + dtype = jax.numpy.float32 + layer_size = 32 + x = hard_and.and_layer(type)(layer_size, dtype=dtype)(x) + x = hard_or.or_layer(type)(layer_size, dtype=dtype)(x) + x = hard_not.not_layer(type)(16, dtype=dtype)(x) + + x = x.reshape((16, layer_size)) + x = hard_majority.majority_layer(type)()(x) + + x = hard_not.not_layer(type)(8, dtype=dtype)(x) + x = x.reshape((1, 16 * 8)) + x = hard_majority.majority_layer(type)()(x) + + z = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, z], axis=0) + ######################################################## + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) + return x + + +# mean: 89.34, sem: 0.74, min: 51.16, max: 99.28, 5%: 76.88, 95%: 96.98 +def nln_7(type, x, training: bool): + y = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, y], axis=0) + + dtype = jax.numpy.float64 + layer_size = 40 + x = hard_and.and_layer(type)(layer_size, dtype=dtype)(x) + x = hard_or.or_layer(type)(layer_size, dtype=dtype)(x) + x = hard_not.not_layer(type)(20, dtype=dtype)(x) + + x = x.reshape((1, layer_size * 20)) + x = hard_majority.majority_layer(type)()(x) + + z = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, z], axis=0) + ######################################################## + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) + return x + + +""" +| Technique/Accuracy | Mean | 5 %ile | 95 %ile | Min | Max | +| ------------------- | -------------- | ------- | ------- | ------ | ------ | +| Tsetlin | 99.3 +/- 0.3 | 95.9 | 100.0 | 91.6 | 100.0 | +| Neural network | 95.4 +/- 0.5 | 90.1 | 98.6 | 88.2 | 99.9 | +| dB | 94.2 +/- 0.44 | 85.1 | 99.1 | 74.6 | 100.0 | +| SVM | 58.0 +/- 0.3 | 56.4 | 59.2 | 55.4 | 66.5 | +| Naive Bayes | 49.8 +/- 0.2 | 48.3 | 51.0 | 41.3 | 52.7 | +| Logistic regression | 49.8 +/- 0.3 | 47.8 | 51.1 | 41.1 | 53.1 | + +Source: https://arxiv.org/pdf/1804.01508.pdf +""" + +# mean: 94.15, sem: 0.44, min: 74.62, max: 100.00, 5%: 85.08, 95%: 99.10 +# soft_majority variant +# optax.radam(learning_rate=0.005) +# config.batch_size = 5000 +# config.num_epochs = 3000 +def nln(type, x, training: bool): + y = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, y], axis=0) + + dtype = jax.numpy.float64 + layer_size = 32 + x = hard_and.and_layer(type)(layer_size, dtype=dtype)(x) + x = hard_or.or_layer(type)(layer_size, dtype=dtype)(x) + x = hard_not.not_layer(type)(16, dtype=dtype)(x) + + x = x.reshape((1, 16 * layer_size)) + x = hard_majority.majority_layer(type)()(x) + + z = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, z], axis=0) + ######################################################## x = x.reshape((num_classes, int(x.shape[0] / num_classes))) x = x.sum(-1) return x @@ -202,17 +356,26 @@ def create_train_state(net, rng, dropout_rng, config): ) """ schedule = optax.warmup_cosine_decay_schedule( - init_value=0.01, - peak_value=0.01, - warmup_steps=100, - decay_steps=config.num_epochs - 100, + init_value=0.1, + peak_value=2, + warmup_steps=0, + decay_steps=500, end_value=0.01, ) tx = optax.chain( # optax.clip(1.0), - # optax.adamw(learning_rate=schedule), - # optax.adam(learning_rate=schedule), - optax.sgd(learning_rate=config.learning_rate, momentum=config.momentum), + # optax.adamw(learning_rate=0.01, weight_decay=0.0001), + # optax.adam(learning_rate=config.learning_rate), + # optax.adabelief(learning_rate=0.01), + # optax.adamax(learning_rate=0.01), + # optax.amsgrad(learning_rate=0.002), + # optax.sm3(learning_rate=0.1), + # optax.novograd(learning_rate=0.001), + # optax.optimistic_gradient_descent(learning_rate=1), + optax.radam(learning_rate=0.005), # 0.02 + # optax.sgd( + # learning_rate=config.learning_rate, momentum=config.momentum, nesterov=False + # ), ) return TrainState.create( @@ -225,6 +388,15 @@ def update_model(state, grads): return state.apply_gradients(grads=grads) +def my_hinge_loss(predictor_outputs, targets): + loss = jax.numpy.abs(predictor_outputs - targets) + + def hinge(x): + return jax.numpy.where(x >= 0.4, x * x, 0) + + return jax.vmap(hinge)(loss) + + def apply_model_with_grad_impl(state, features, labels, dropout_rng, training: bool): dropout_train_rng = jax.random.fold_in(key=dropout_rng, data=state.step) @@ -235,9 +407,11 @@ def loss_fn(params): training=training, rngs={"dropout": dropout_train_rng}, ) - one_hot = jax.nn.one_hot(labels, num_classes) + one_hot = jax.nn.one_hot(labels, num_classes, dtype=jax.numpy.int32) loss = jax.numpy.mean( optax.softmax_cross_entropy(logits=logits, labels=one_hot) + # optax.l2_loss(predictions=logits, targets=one_hot) + # my_hinge_loss(logits, one_hot) ) return loss, logits @@ -349,10 +523,10 @@ def apply_hard_model_to_data(state, features, labels): def get_config(): config = ml_collections.ConfigDict() - config.learning_rate = 2.0 + config.learning_rate = 0.001 config.momentum = 0.9 config.batch_size = 5000 - config.num_epochs = 2000 + config.num_epochs = 3000 return config @@ -395,7 +569,6 @@ def test_noisy_xor(): # print(f"trained hard weights: {repr(hard_weights)}") # Check symbolic net - """ _, hard, symbolic = neural_logic_net.net( lambda type, x, training: nln(type, x, training) ) @@ -405,4 +578,3 @@ def test_noisy_xor(): trained_state, dropout_rng, ) - """ From 6f0873a32ad7055a138c882304fbc61a6fa9735b Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Thu, 9 Feb 2023 13:19:37 +0000 Subject: [PATCH 029/128] compare to standard majority, and deprecate it --- neurallogic/hard_majority.py | 2 +- tests/test_noisy_xor.py | 7 ++++++- 2 files changed, 7 insertions(+), 2 deletions(-) diff --git a/neurallogic/hard_majority.py b/neurallogic/hard_majority.py index 79e7389..e3c289d 100644 --- a/neurallogic/hard_majority.py +++ b/neurallogic/hard_majority.py @@ -8,7 +8,7 @@ def majority_index(input_size: int) -> int: return (input_size - 1) // 2 -def soft_majority_1(x: jax.numpy.array) -> float: +def soft_majority_deprecated(x: jax.numpy.array) -> float: index = majority_index(x.shape[-1]) sorted_x = jax.numpy.sort(x, axis=-1) return jax.numpy.take(sorted_x, index, axis=-1) diff --git a/tests/test_noisy_xor.py b/tests/test_noisy_xor.py index cb4c8d5..e43fc16 100644 --- a/tests/test_noisy_xor.py +++ b/tests/test_noisy_xor.py @@ -306,6 +306,9 @@ def nln_7(type, x, training: bool): # optax.radam(learning_rate=0.005) # config.batch_size = 5000 # config.num_epochs = 3000 +# N.B. With normal soft majority we get +# mean: 83.82, sem: 1.75, min: 48.86, max: 100.00, 5%: 48.86, 95%: 99.42 +# Hence new variant seems very effective in avoiding local minima def nln(type, x, training: bool): y = jax.vmap(lambda x: 1 - x)(x) x = jax.numpy.concatenate([x, y], axis=0) @@ -541,7 +544,7 @@ def test_noisy_xor(): rng = jax.random.PRNGKey(0) print(soft.tabulate(rng, x_training[0:1], training=False)) - num_experiments = 1 # 100 for paper + num_experiments = 100 # 100 for paper final_test_accuracies = [] for i in range(num_experiments): rng, int_rng, dropout_rng = jax.random.split(rng, 3) @@ -569,6 +572,7 @@ def test_noisy_xor(): # print(f"trained hard weights: {repr(hard_weights)}") # Check symbolic net + """ _, hard, symbolic = neural_logic_net.net( lambda type, x, training: nln(type, x, training) ) @@ -578,3 +582,4 @@ def test_noisy_xor(): trained_state, dropout_rng, ) + """ From c0ad8a01a659fb722031334efc022131d8128d63 Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Thu, 9 Feb 2023 13:20:42 +0000 Subject: [PATCH 030/128] only do 1 exp --- tests/test_noisy_xor.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/tests/test_noisy_xor.py b/tests/test_noisy_xor.py index e43fc16..b0a3ae2 100644 --- a/tests/test_noisy_xor.py +++ b/tests/test_noisy_xor.py @@ -544,7 +544,7 @@ def test_noisy_xor(): rng = jax.random.PRNGKey(0) print(soft.tabulate(rng, x_training[0:1], training=False)) - num_experiments = 100 # 100 for paper + num_experiments = 1 # 100 for paper final_test_accuracies = [] for i in range(num_experiments): rng, int_rng, dropout_rng = jax.random.split(rng, 3) @@ -572,7 +572,6 @@ def test_noisy_xor(): # print(f"trained hard weights: {repr(hard_weights)}") # Check symbolic net - """ _, hard, symbolic = neural_logic_net.net( lambda type, x, training: nln(type, x, training) ) @@ -582,4 +581,3 @@ def test_noisy_xor(): trained_state, dropout_rng, ) - """ From abb2c8bc72b03cb69e053caff67154b64711ef2e Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Thu, 9 Feb 2023 14:22:42 +0000 Subject: [PATCH 031/128] update majority test --- neurallogic/hard_majority.py | 17 +- tests/test_hard_majority.py | 336 +++++++++++++++++++++++++---------- 2 files changed, 245 insertions(+), 108 deletions(-) diff --git a/neurallogic/hard_majority.py b/neurallogic/hard_majority.py index e3c289d..b0eec0f 100644 --- a/neurallogic/hard_majority.py +++ b/neurallogic/hard_majority.py @@ -8,29 +8,22 @@ def majority_index(input_size: int) -> int: return (input_size - 1) // 2 -def soft_majority_deprecated(x: jax.numpy.array) -> float: +def majority_bit(x: jax.numpy.array) -> float: index = majority_index(x.shape[-1]) sorted_x = jax.numpy.sort(x, axis=-1) return jax.numpy.take(sorted_x, index, axis=-1) def soft_majority(x: jax.numpy.array) -> float: - index = majority_index(x.shape[-1]) - sorted_x = jax.numpy.sort(x, axis=-1) - majority_bit = jax.numpy.take(sorted_x, index, axis=-1) - # print(f"majority_bit: {majority_bit}") - margin = jax.numpy.abs(majority_bit - 0.5) - # print(f"margin: {margin}") + m_bit = majority_bit(x) + margin = jax.numpy.abs(m_bit - 0.5) mean = jax.numpy.mean(x, axis=-1) - # print(f"mean: {mean}") margin_delta = mean * margin - # print(f"margin_delta: {margin_delta}") representative_bit = jax.numpy.where( - majority_bit > 0.5, + m_bit > 0.5, 0.5 + margin_delta, - majority_bit + margin_delta, + m_bit + margin_delta, ) - # print(f"representative_bit: {representative_bit}") return representative_bit diff --git a/tests/test_hard_majority.py b/tests/test_hard_majority.py index 77b9f7a..e0a8b3e 100644 --- a/tests/test_hard_majority.py +++ b/tests/test_hard_majority.py @@ -20,50 +20,91 @@ def test_majority_index(): assert hard_majority.majority_index(12) == 5 -def test_soft_majority(): - assert hard_majority.soft_majority(numpy.array([1.0])) == 1.0 - assert hard_majority.soft_majority(numpy.array([2.0, 1.0])) == 1.0 - assert hard_majority.soft_majority(numpy.array([1.0, 3.0, 2.0])) == 2.0 - assert hard_majority.soft_majority( - numpy.array([2.0, 1.0, 4.0, 3.0])) == 2.0 - assert hard_majority.soft_majority( - numpy.array([1.0, 2.0, 3.0, 4.0, 5.0])) == 3.0 - assert hard_majority.soft_majority( - numpy.array([6.0, 3.0, 2.0, 4.0, 5.0, 1.0])) == 3.0 - assert hard_majority.soft_majority(numpy.array( - [7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0])) == 4.0 - assert hard_majority.soft_majority(numpy.array( - [2.0, 1.0, 4.0, 3.0, 6.0, 5.0, 8.0, 7.0])) == 4.0 - assert hard_majority.soft_majority(numpy.array( - [1.0, 2.0, 3.0, 5.0, 4.0, 6.0, 7.0, 9.0, 8.0])) == 5.0 - assert hard_majority.soft_majority(numpy.array( - [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0])) == 5.0 - assert hard_majority.soft_majority(numpy.array( - [11.0, 10.0, 9.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0])) == 6.0 - assert hard_majority.soft_majority(numpy.array( - [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0])) == 6.0 +def test_majority_bit(): + assert hard_majority.majority_bit(numpy.array([1.0])) == 1.0 + assert hard_majority.majority_bit(numpy.array([2.0, 1.0])) == 1.0 + assert hard_majority.majority_bit(numpy.array([1.0, 3.0, 2.0])) == 2.0 + assert hard_majority.majority_bit(numpy.array([2.0, 1.0, 4.0, 3.0])) == 2.0 + assert hard_majority.majority_bit(numpy.array([1.0, 2.0, 3.0, 4.0, 5.0])) == 3.0 + assert ( + hard_majority.majority_bit(numpy.array([6.0, 3.0, 2.0, 4.0, 5.0, 1.0])) == 3.0 + ) + assert ( + hard_majority.majority_bit(numpy.array([7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0])) + == 4.0 + ) + assert ( + hard_majority.majority_bit( + numpy.array([2.0, 1.0, 4.0, 3.0, 6.0, 5.0, 8.0, 7.0]) + ) + == 4.0 + ) + assert ( + hard_majority.majority_bit( + numpy.array([1.0, 2.0, 3.0, 5.0, 4.0, 6.0, 7.0, 9.0, 8.0]) + ) + == 5.0 + ) + assert ( + hard_majority.majority_bit( + numpy.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0]) + ) + == 5.0 + ) + assert ( + hard_majority.majority_bit( + numpy.array([11.0, 10.0, 9.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0]) + ) + == 6.0 + ) + assert ( + hard_majority.majority_bit( + numpy.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0]) + ) + == 6.0 + ) def test_hard_majority(): assert hard_majority.hard_majority(numpy.array([True])) == True assert hard_majority.hard_majority(numpy.array([False])) == False assert hard_majority.hard_majority(numpy.array([True, False])) == False - assert hard_majority.hard_majority( - numpy.array([False, True, False])) == False - assert hard_majority.hard_majority( - numpy.array([True, False, True, False])) == False - assert hard_majority.hard_majority(numpy.array( - [False, True, False, True, False])) == False - assert hard_majority.hard_majority(numpy.array( - [True, True, True, False, True, False])) == True - assert hard_majority.hard_majority(numpy.array( - [True, False, False, True, True, True, False])) == True - assert hard_majority.hard_majority(numpy.array( - [False, True, False, True, False, True, False, True])) == False - assert hard_majority.hard_majority(numpy.array( - [True, True, True, True, True, False, True, True, True])) == True - assert hard_majority.hard_majority(numpy.array( - [True, False, False, False, False, False, True, True, True, True])) == False + assert hard_majority.hard_majority(numpy.array([False, True, False])) == False + assert hard_majority.hard_majority(numpy.array([True, False, True, False])) == False + assert ( + hard_majority.hard_majority(numpy.array([False, True, False, True, False])) + == False + ) + assert ( + hard_majority.hard_majority(numpy.array([True, True, True, False, True, False])) + == True + ) + assert ( + hard_majority.hard_majority( + numpy.array([True, False, False, True, True, True, False]) + ) + == True + ) + assert ( + hard_majority.hard_majority( + numpy.array([False, True, False, True, False, True, False, True]) + ) + == False + ) + assert ( + hard_majority.hard_majority( + numpy.array([True, True, True, True, True, False, True, True, True]) + ) + == True + ) + assert ( + hard_majority.hard_majority( + numpy.array( + [True, False, False, False, False, False, True, True, True, True] + ) + ) + == False + ) def test_soft_and_hard_majority_equivalence(): @@ -77,88 +118,191 @@ def test_soft_and_hard_majority_equivalence(): def test_soft_majority_layer(): - assert numpy.all(hard_majority.soft_majority_layer( - numpy.array([[2.0, 1.0], [1.0, 2.0]])) == numpy.array([1.0, 1.0])) - assert numpy.all(hard_majority.soft_majority_layer(numpy.array( - [[1.0, 2.0, 3.0], [3.0, 2.0, 1.0]])) == numpy.array([2.0, 2.0])) - assert numpy.all(hard_majority.soft_majority_layer(numpy.array( - [[1.0, 2.0, 3.0, 4.0], [4.0, 3.0, 2.0, 1.0]])) == numpy.array([2.0, 2.0])) - assert numpy.all(hard_majority.soft_majority_layer(numpy.array( - [[1.0, 2.0, 3.0, 4.0, 5.0], [5.0, 4.0, 3.0, 2.0, 1.0]])) == numpy.array([3.0, 3.0])) - assert numpy.all(hard_majority.soft_majority_layer(numpy.array( - [[1.0, 2.0, 3.0, 4.0, 5.0, 6.0], [6.0, 5.0, 4.0, 3.0, 2.0, 1.0]])) == numpy.array([3.0, 3.0])) - assert numpy.all(hard_majority.soft_majority_layer(numpy.array( - [[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0], [7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0]])) == numpy.array([4.0, 4.0])) - assert numpy.all(hard_majority.soft_majority_layer(numpy.array( - [[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0], [8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0]])) == numpy.array([4.0, 4.0])) - assert numpy.all(hard_majority.soft_majority_layer(numpy.array( - [[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0], [9.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0]])) == numpy.array([5.0, 5.0])) - assert numpy.all(hard_majority.soft_majority_layer(numpy.array( - [[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0], [10.0, 9.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0]])) == numpy.array([5.0, 5.0])) - assert numpy.all(hard_majority.soft_majority_layer(numpy.array( - [[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0], [11.0, 10.0, 9.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0]])) == numpy.array([6.0, 6.0])) - assert numpy.all(hard_majority.soft_majority_layer(numpy.array( - [[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0], [12.0, 11.0, 10.0, 9.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0]])) == numpy.array([6.0, 6.0])) + assert numpy.all( + hard_majority.soft_majority_layer(numpy.array([[0.0, 1.0], [1.0, 0.0]])) + == numpy.array([0.25, 0.25]) + ) + assert numpy.all( + hard_majority.soft_majority_layer( + numpy.array([[0.0, 1.0, 1.0], [1.0, 0.0, 0.0]]) + ) + == numpy.array([0.8333334, 0.16666667]) + ) + assert numpy.all( + hard_majority.soft_majority_layer( + numpy.array([[1.0, 0.0, 1.0, 0.0], [1.0, 0.0, 1.0, 1.0]]) + ) + == numpy.array([0.25, 0.875]) + ) + assert numpy.all( + hard_majority.soft_majority_layer( + numpy.array([[0.0, 1.0, 1.0, 0.0, 0.0], [1.0, 1.0, 0.0, 1.0, 1.0]]) + ) + == numpy.array([0.2, 0.9]) + ) + assert numpy.all( + hard_majority.soft_majority_layer( + numpy.array( + [[0.0, 1.0, 0.0, 1.0, 0.0, 1.0], [1.0, 1.0, 1.0, 1.0, 1.0, 0.0]] + ) + ) + == numpy.array([0.25, 0.9166667]) + ) + assert numpy.all( + hard_majority.soft_majority_layer( + numpy.array( + [ + [1.0, 0.0, 0.0, 0.0, 0.0, 0.8, 0.4], + [1.0, 0.9, 0.8, 0.45, 0.48, 0.51, 0.52], + ] + ) + ) + == numpy.array([0.15714286, 0.51331425]) + ) def test_hard_majority_layer(): - assert numpy.all(hard_majority.hard_majority_layer(numpy.array( - [[True, False], [False, True]])) == numpy.array([False, False])) - assert numpy.all(hard_majority.hard_majority_layer(numpy.array( - [[True, False, True], [True, False, False]])) == numpy.array([True, False])) - assert numpy.all(hard_majority.hard_majority_layer(numpy.array( - [[True, False, True, False], [False, True, False, True]])) == numpy.array([False, False])) - assert numpy.all(hard_majority.hard_majority_layer(numpy.array( - [[True, False, True, False, True], [True, False, True, False, True]])) == numpy.array([True, True])) - assert numpy.all(hard_majority.hard_majority_layer(numpy.array([[True, False, True, False, True, False], [ - False, True, False, True, False, True]])) == numpy.array([False, False])) - assert numpy.all(hard_majority.hard_majority_layer(numpy.array([[True, False, True, False, True, False, True], [ - True, False, True, False, True, False, False]])) == numpy.array([True, False])) - - assert numpy.all(hard_majority.hard_majority_layer(numpy.array([[True, False], [ - False, True], [False, True]])) == numpy.array([False, False, False])) - assert numpy.all(hard_majority.hard_majority_layer(numpy.array([[True, False, True], [ - True, False, True], [True, False, True]])) == numpy.array([True, True, True])) - assert numpy.all(hard_majority.hard_majority_layer(numpy.array([[True, False, True, False], [ - False, True, False, True], [False, True, False, True]])) == numpy.array([False, False, False])) - assert numpy.all(hard_majority.hard_majority_layer(numpy.array([[True, False, True, False, True], [ - True, False, True, False, True], [True, False, True, False, True]])) == numpy.array([True, True, True])) - assert numpy.all(hard_majority.hard_majority_layer(numpy.array([[True, False, True, False, True, False], [ - False, True, False, True, False, True], [False, True, False, True, False, True]])) == numpy.array([False, False, False])) + assert numpy.all( + hard_majority.hard_majority_layer(numpy.array([[True, False], [False, True]])) + == numpy.array([False, False]) + ) + assert numpy.all( + hard_majority.hard_majority_layer( + numpy.array([[True, False, True], [True, False, False]]) + ) + == numpy.array([True, False]) + ) + assert numpy.all( + hard_majority.hard_majority_layer( + numpy.array([[True, False, True, False], [False, True, False, True]]) + ) + == numpy.array([False, False]) + ) + assert numpy.all( + hard_majority.hard_majority_layer( + numpy.array( + [[True, False, True, False, True], [True, False, True, False, True]] + ) + ) + == numpy.array([True, True]) + ) + assert numpy.all( + hard_majority.hard_majority_layer( + numpy.array( + [ + [True, False, True, False, True, False], + [False, True, False, True, False, True], + ] + ) + ) + == numpy.array([False, False]) + ) + assert numpy.all( + hard_majority.hard_majority_layer( + numpy.array( + [ + [True, False, True, False, True, False, True], + [True, False, True, False, True, False, False], + ] + ) + ) + == numpy.array([True, False]) + ) + + assert numpy.all( + hard_majority.hard_majority_layer( + numpy.array([[True, False], [False, True], [False, True]]) + ) + == numpy.array([False, False, False]) + ) + assert numpy.all( + hard_majority.hard_majority_layer( + numpy.array([[True, False, True], [True, False, True], [True, False, True]]) + ) + == numpy.array([True, True, True]) + ) + assert numpy.all( + hard_majority.hard_majority_layer( + numpy.array( + [ + [True, False, True, False], + [False, True, False, True], + [False, True, False, True], + ] + ) + ) + == numpy.array([False, False, False]) + ) + assert numpy.all( + hard_majority.hard_majority_layer( + numpy.array( + [ + [True, False, True, False, True], + [True, False, True, False, True], + [True, False, True, False, True], + ] + ) + ) + == numpy.array([True, True, True]) + ) + assert numpy.all( + hard_majority.hard_majority_layer( + numpy.array( + [ + [True, False, True, False, True, False], + [False, True, False, True, False, True], + [False, True, False, True, False, True], + ] + ) + ) + == numpy.array([False, False, False]) + ) def test_layer(): test_data = [ - [ - [[0.8, 0.1, 0.4], [1.0, 0.0, 0.3]], - [0.4, 0.3] - ], + [[[0.8, 0.1, 0.4], [1.0, 0.0, 0.3]], [0.44333333, 0.3866667]], [ [[0.8, 0.1, 0.4], [1.0, 0.0, 0.3], [0.0, 0.0, 0.0]], - [0.4, 0.3, 0.0] + [0.44333333, 0.3866667, 0.0], ], [ [[0.8, 0.1, 0.4], [1.0, 0.0, 0.3], [0.8, 0.9, 0.1], [0.2, 0.01, 0.45]], - [0.4, 0.3, 0.8, 0.2] + [0.44333333, 0.3866667, 0.68, 0.266], ], [ - [[0.8, 0.1, 0.4], [1.0, 0.0, 0.3], [0.8, 0.9, 0.1], [0.2, 0.01, 0.45], [0.0, 0.0, 0.0]], - [0.4, 0.3, 0.8, 0.2, 0.0] + [ + [0.8, 0.1, 0.4], + [1.0, 0.0, 0.3], + [0.8, 0.9, 0.1], + [0.2, 0.01, 0.45], + [0.0, 0.0, 0.0], + ], + [0.44333333, 0.3866667, 0.68, 0.266, 0.0], ], [ - [[0.3, 0.93, 0.01, 0.5], [0.2, 0.01, 0.45, 0.1], [0.8, 0.9, 0.1, 0.2], [0.8, 0.1, 0.4, 0.3], [0.0, 0.0, 0.0, 0.0]], - [0.3, 0.1, 0.2, 0.3, 0.0] - ] + [ + [0.3, 0.93, 0.01, 0.5], + [0.2, 0.01, 0.45, 0.1], + [0.8, 0.9, 0.1, 0.2], + [0.8, 0.1, 0.4, 0.3], + [0.0, 0.0, 0.0, 0.0], + ], + [0.38700002, 0.176, 0.35000002, 0.38, 0.0], + ], ] for input, expected in test_data: + def soft(input): return hard_majority.soft_majority_layer(input) def hard(input): return hard_majority.hard_majority_layer(input) - utils.check_consistency(soft, hard, jax.numpy.array(expected), jax.numpy.array(input)) + utils.check_consistency( + soft, hard, jax.numpy.array(expected), jax.numpy.array(input) + ) -# TODO: test training the hard majority layer \ No newline at end of file +# TODO: test training the hard majority layer From dd0b71ff0eadab87906e0bc58233b18a82f533cc Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Fri, 10 Feb 2023 08:56:20 +0000 Subject: [PATCH 032/128] fix test for other archs --- tests/test_hard_majority.py | 36 ++++++++++++++++++------------------ 1 file changed, 18 insertions(+), 18 deletions(-) diff --git a/tests/test_hard_majority.py b/tests/test_hard_majority.py index e0a8b3e..08330cb 100644 --- a/tests/test_hard_majority.py +++ b/tests/test_hard_majority.py @@ -118,37 +118,37 @@ def test_soft_and_hard_majority_equivalence(): def test_soft_majority_layer(): - assert numpy.all( - hard_majority.soft_majority_layer(numpy.array([[0.0, 1.0], [1.0, 0.0]])) - == numpy.array([0.25, 0.25]) + assert numpy.allclose( + hard_majority.soft_majority_layer(numpy.array([[0.0, 1.0], [1.0, 0.0]])), + numpy.array([0.25, 0.25]), ) - assert numpy.all( + assert numpy.allclose( hard_majority.soft_majority_layer( numpy.array([[0.0, 1.0, 1.0], [1.0, 0.0, 0.0]]) - ) - == numpy.array([0.8333334, 0.16666667]) + ), + numpy.array([0.8333334, 0.16666667]), ) - assert numpy.all( + assert numpy.allclose( hard_majority.soft_majority_layer( numpy.array([[1.0, 0.0, 1.0, 0.0], [1.0, 0.0, 1.0, 1.0]]) - ) - == numpy.array([0.25, 0.875]) + ), + numpy.array([0.25, 0.875]), ) - assert numpy.all( + assert numpy.allclose( hard_majority.soft_majority_layer( numpy.array([[0.0, 1.0, 1.0, 0.0, 0.0], [1.0, 1.0, 0.0, 1.0, 1.0]]) - ) - == numpy.array([0.2, 0.9]) + ), + numpy.array([0.2, 0.9]), ) - assert numpy.all( + assert numpy.allclose( hard_majority.soft_majority_layer( numpy.array( [[0.0, 1.0, 0.0, 1.0, 0.0, 1.0], [1.0, 1.0, 1.0, 1.0, 1.0, 0.0]] ) - ) - == numpy.array([0.25, 0.9166667]) + ), + numpy.array([0.25, 0.9166667]), ) - assert numpy.all( + assert numpy.allclose( hard_majority.soft_majority_layer( numpy.array( [ @@ -156,8 +156,8 @@ def test_soft_majority_layer(): [1.0, 0.9, 0.8, 0.45, 0.48, 0.51, 0.52], ] ) - ) - == numpy.array([0.15714286, 0.51331425]) + ), + numpy.array([0.15714286, 0.51331425]), ) From 94bdc0cfe7efebd9551469c730827640dd50d6fb Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Fri, 10 Feb 2023 15:31:42 +0000 Subject: [PATCH 033/128] improved hardening layer --- neurallogic/hard_not.py | 4 ---- neurallogic/hard_xor.py | 9 +++++---- neurallogic/harden_layer.py | 26 ++++++++++++++++++++++---- 3 files changed, 27 insertions(+), 12 deletions(-) diff --git a/neurallogic/hard_not.py b/neurallogic/hard_not.py index 0b80d39..495682d 100644 --- a/neurallogic/hard_not.py +++ b/neurallogic/hard_not.py @@ -5,10 +5,6 @@ from neurallogic import neural_logic_net, symbolic_generation -# TODO: replace hard-clip in layers with this -def logistic_clip(x): - return jax.scipy.special.expit(3 * (2 * x - 1)) - def soft_not(w: float, x: float) -> float: """ diff --git a/neurallogic/hard_xor.py b/neurallogic/hard_xor.py index 460d1b5..fb557e0 100644 --- a/neurallogic/hard_xor.py +++ b/neurallogic/hard_xor.py @@ -6,15 +6,16 @@ from neurallogic import neural_logic_net, symbolic_generation, hard_masks +def differentiable_xor(x, y): + return jax.numpy.minimum(jax.numpy.maximum(x, y), 1.0 - jax.numpy.minimum(x, y)) + + # TODO: seperate out the mask from the xor operation def soft_xor_neuron(w, x): # Conditionally include input bits, according to weights x = jax.vmap(hard_masks.soft_mask_to_false, 0, 0)(w, x) - def xor(x, y): - return jax.numpy.minimum(jax.numpy.maximum(x, y), 1.0 - jax.numpy.minimum(x, y)) - - x = jax.lax.reduce(x, jax.numpy.array(0, dtype=x.dtype), xor, (0,)) + x = jax.lax.reduce(x, jax.numpy.array(0, dtype=x.dtype), differentiable_xor, (0,)) return x diff --git a/neurallogic/harden_layer.py b/neurallogic/harden_layer.py index 0024a98..5c82c18 100644 --- a/neurallogic/harden_layer.py +++ b/neurallogic/harden_layer.py @@ -3,19 +3,36 @@ from neurallogic import neural_logic_net -def harden_element(x): +def logistic_clip(x): + return jax.scipy.special.expit(3 * (2 * x - 1)) + + +def harden(x): # non-differentiable return jax.lax.cond(x > 0.5, lambda _: 1.0, lambda _: 0.0, None) -def straight_through_harden_element(x): +def scaled_straight_through_harden(x): + # The harden operation is non-differentiable. Therefore we need to + # approximate with the straight-through estimator. + # Create an exactly-zero expression with Sterbenz lemma that has # an exactly-one gradient. zero = x - jax.lax.stop_gradient(x) - return zero + jax.lax.stop_gradient(harden_element(x)) + one = zero + jax.lax.stop_gradient(harden(x)) + + # However, the straight-through estimator discards information about the value of x. + # In consequence, backprogated errors are independent of whether x is close to + # the decision boundary at 0.5. This is undesirable because we only want to + # allocate soft weight resources to the region around the decision boundary. + # We therefore scale the gradient to be smaller at x=0.5 and unscaled at + # x=0.0 and x=1.0. In other words, we minimally update upstream weights in order + # to potentially flip the hard value of x. + scale_factor = (2 * (0.5 - x)) * (2 * (0.5 - x)) + 0.001 + return one * scale_factor -soft_harden_layer = jax.vmap(straight_through_harden_element) +soft_harden_layer = jax.vmap(scaled_straight_through_harden) def hard_harden_layer(x): @@ -31,3 +48,4 @@ def symbolic_harden_layer(x): harden_layer = neural_logic_net.select( soft_harden_layer, hard_harden_layer, symbolic_harden_layer ) + \ No newline at end of file From a971dd0273125e3aff8aa2b5965ba8be0de24a29 Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Tue, 21 Feb 2023 08:46:56 +0000 Subject: [PATCH 034/128] **** noisy xor bookmark: 94.5 % ** --- neurallogic/hard_and.py | 13 ++++++++++ neurallogic/hard_masks.py | 19 +++++++-------- neurallogic/hard_not.py | 28 +++++++++++++--------- neurallogic/hard_or.py | 12 ++++++++++ neurallogic/harden_layer.py | 17 ++++---------- tests/test_noisy_xor.py | 47 +++++++++++++++++++++++++++++++++---- tests/utils.py | 8 +++---- 7 files changed, 101 insertions(+), 43 deletions(-) diff --git a/neurallogic/hard_and.py b/neurallogic/hard_and.py index 2fd58b1..e73dcf2 100644 --- a/neurallogic/hard_and.py +++ b/neurallogic/hard_and.py @@ -12,6 +12,19 @@ def soft_and_neuron(w, x): return jax.numpy.min(x) +def soft_and(x, y): + m = jax.numpy.minimum(x, y) + return jax.numpy.where( + 2 * m > 1, + 0.5 + 0.5 * (x + y) * (m - 0.5), + m + 0.5 * (x + y) * (0.5 - m), + ) + + +def soft_and_neuron_deprecated(w, x): + x = jax.vmap(hard_masks.soft_mask_to_true, 0, 0)(w, x) + return jax.lax.reduce(x, 1.0, soft_and, [0]) + def hard_and_neuron(w, x): x = jax.vmap(hard_masks.hard_mask_to_true, 0, 0)(w, x) return jax.lax.reduce(x, True, jax.lax.bitwise_and, [0]) diff --git a/neurallogic/hard_masks.py b/neurallogic/hard_masks.py index 5fb3638..cd3206a 100644 --- a/neurallogic/hard_masks.py +++ b/neurallogic/hard_masks.py @@ -3,7 +3,7 @@ import jax from flax import linen as nn -from neurallogic import neural_logic_net, symbolic_generation, hard_not +from neurallogic import neural_logic_net, symbolic_generation, hard_and, hard_or def soft_mask_to_true(w: float, x: float) -> float: @@ -17,13 +17,10 @@ def soft_mask_to_true(w: float, x: float) -> float: w = jax.numpy.clip(w, 0.0, 1.0) return jax.numpy.maximum(x, 1.0 - w) +def soft_mask_to_true_deprecated(w: float, x: float) -> float: + w = jax.numpy.clip(w, 0.0, 1.0) + return hard_or.soft_or(x, 1.0 - w) -def soft_mask_to_true_alt(w: float, b: float) -> float: - return jax.numpy.where( - w > 0.5, - jax.numpy.where(b > 0.5, b, (2 * w - 1) * b + 1 - w), - jax.numpy.where(b > 0.5, -2 * w * (1 - b) + 1, 1 - w), - ) def hard_mask_to_true(w, x): @@ -49,12 +46,12 @@ def soft_mask_to_false(w: float, x: float) -> float: Corresponding hard logic: b AND w """ w = jax.numpy.clip(w, 0.0, 1.0) + # TODO: what is this madness? return 1.0 - jax.numpy.maximum(1.0 - x, 1.0 - w) - -# 1 - DifferentiableHardAND[1-b, w] -def soft_mask_to_false_alt(w: float, b: float) -> float: - return 1 - soft_mask_to_true(1 - b, w) +def soft_mask_to_false_deprecated(w: float, x: float) -> float: + w = jax.numpy.clip(w, 0.0, 1.0) + return hard_and.soft_and(x, w) def hard_mask_to_false(w, x): diff --git a/neurallogic/hard_not.py b/neurallogic/hard_not.py index 495682d..c42d02a 100644 --- a/neurallogic/hard_not.py +++ b/neurallogic/hard_not.py @@ -3,7 +3,7 @@ import jax from flax import linen as nn -from neurallogic import neural_logic_net, symbolic_generation +from neurallogic import neural_logic_net, symbolic_generation, hard_and, hard_or def soft_not(w: float, x: float) -> float: @@ -17,6 +17,11 @@ def soft_not(w: float, x: float) -> float: w = jax.numpy.clip(w, 0.0, 1.0) return 1.0 - w + x * (2.0 * w - 1.0) +def soft_not_deprecated(w: float, x: float) -> float: + w = jax.numpy.clip(w, 0.0, 1.0) + # (w && x) || (! w && ! x) + return hard_or.soft_or(hard_and.soft_and(w, x), hard_and.soft_and(1.0 - w, 1.0 - x)) + def hard_not(w: bool, x: bool) -> bool: return jax.numpy.logical_not(jax.numpy.logical_xor(x, w)) @@ -31,10 +36,17 @@ def hard_not(w: bool, x: bool) -> bool: hard_not_layer = jax.vmap(hard_not_neuron, (0, None), 0) +def initialize_uniform_range(lower=0, upper=1): + def init(key, shape, dtype): + dtype = jax.dtypes.canonicalize_dtype(dtype) + x = jax.random.uniform(key, shape, dtype, lower, upper) + return x + + return init class SoftNotLayer(nn.Module): layer_size: int - weights_init: Callable = nn.initializers.uniform(1.0) + weights_init: Callable = initialize_uniform_range(0.49, 0.51) dtype: jax.numpy.dtype = jax.numpy.float32 @nn.compact @@ -69,13 +81,7 @@ def __call__(self, x): not_layer = neural_logic_net.select( - lambda layer_size, weights_init=nn.initializers.uniform( - 1.0 - ), dtype=jax.numpy.float32: SoftNotLayer(layer_size, weights_init, dtype), - lambda layer_size, weights_init=nn.initializers.uniform( - 1.0 - ), dtype=jax.numpy.float32: HardNotLayer(layer_size), - lambda layer_size, weights_init=nn.initializers.uniform( - 1.0 - ), dtype=jax.numpy.float32: SymbolicNotLayer(layer_size), + lambda layer_size, weights_init=initialize_uniform_range(0.49, 0.51), dtype=jax.numpy.float32: SoftNotLayer(layer_size, weights_init, dtype), + lambda layer_size, weights_init=initialize_uniform_range(0.49, 0.51), dtype=jax.numpy.float32: HardNotLayer(layer_size), + lambda layer_size, weights_init=initialize_uniform_range(0.49, 0.51), dtype=jax.numpy.float32: SymbolicNotLayer(layer_size), ) diff --git a/neurallogic/hard_or.py b/neurallogic/hard_or.py index c99b490..fa4917d 100644 --- a/neurallogic/hard_or.py +++ b/neurallogic/hard_or.py @@ -11,6 +11,18 @@ def soft_or_neuron(w, x): x = jax.vmap(hard_masks.soft_mask_to_false, 0, 0)(w, x) return jax.numpy.max(x) +def soft_or(x, y): + m = jax.numpy.maximum(x, y) + return jax.numpy.where( + 2 * m > 1, + 0.5 + 0.5 * (x + y) * (m - 0.5), + m + 0.5 * (x + y) * (0.5 - m), + ) + + +def soft_or_neuron_deprecated(w, x): + x = jax.vmap(hard_masks.soft_mask_to_true, 0, 0)(w, x) + return jax.lax.reduce(x, 0.0, soft_or, [0]) def hard_or_neuron(w, x): x = jax.vmap(hard_masks.hard_mask_to_false, 0, 0)(w, x) diff --git a/neurallogic/harden_layer.py b/neurallogic/harden_layer.py index 5c82c18..255d93a 100644 --- a/neurallogic/harden_layer.py +++ b/neurallogic/harden_layer.py @@ -12,27 +12,18 @@ def harden(x): return jax.lax.cond(x > 0.5, lambda _: 1.0, lambda _: 0.0, None) -def scaled_straight_through_harden(x): +def straight_through_harden(x): # The harden operation is non-differentiable. Therefore we need to # approximate with the straight-through estimator. # Create an exactly-zero expression with Sterbenz lemma that has # an exactly-one gradient. zero = x - jax.lax.stop_gradient(x) - one = zero + jax.lax.stop_gradient(harden(x)) + grad_of_one = zero + jax.lax.stop_gradient(harden(x)) + return grad_of_one - # However, the straight-through estimator discards information about the value of x. - # In consequence, backprogated errors are independent of whether x is close to - # the decision boundary at 0.5. This is undesirable because we only want to - # allocate soft weight resources to the region around the decision boundary. - # We therefore scale the gradient to be smaller at x=0.5 and unscaled at - # x=0.0 and x=1.0. In other words, we minimally update upstream weights in order - # to potentially flip the hard value of x. - scale_factor = (2 * (0.5 - x)) * (2 * (0.5 - x)) + 0.001 - return one * scale_factor - -soft_harden_layer = jax.vmap(scaled_straight_through_harden) +soft_harden_layer = jax.vmap(straight_through_harden) def hard_harden_layer(x): diff --git a/tests/test_noisy_xor.py b/tests/test_noisy_xor.py index b0a3ae2..beb9287 100644 --- a/tests/test_noisy_xor.py +++ b/tests/test_noisy_xor.py @@ -309,7 +309,7 @@ def nln_7(type, x, training: bool): # N.B. With normal soft majority we get # mean: 83.82, sem: 1.75, min: 48.86, max: 100.00, 5%: 48.86, 95%: 99.42 # Hence new variant seems very effective in avoiding local minima -def nln(type, x, training: bool): +def nln_8(type, x, training: bool): y = jax.vmap(lambda x: 1 - x)(x) x = jax.numpy.concatenate([x, y], axis=0) @@ -329,6 +329,38 @@ def nln(type, x, training: bool): x = x.sum(-1) return x +""" +| Technique/Accuracy | Mean | 5 %ile | 95 %ile | Min | Max | +| ------------------- | -------------- | ------- | ------- | ------ | ------ | +| Tsetlin | 99.3 +/- 0.3 | 95.9 | 100.0 | 91.6 | 100.0 | +| Neural network | 95.4 +/- 0.5 | 90.1 | 98.6 | 88.2 | 99.9 | +| dB | 94.5 +/- 0.4 | 89.2 | 98.2 | 70.8 | 100.0 | +| SVM | 58.0 +/- 0.3 | 56.4 | 59.2 | 55.4 | 66.5 | +| Naive Bayes | 49.8 +/- 0.2 | 48.3 | 51.0 | 41.3 | 52.7 | +| Logistic regression | 49.8 +/- 0.3 | 47.8 | 51.1 | 41.1 | 53.1 | + +Source: https://arxiv.org/pdf/1804.01508.pdf +""" +# mean: 94.51, sem: 0.37, min: 70.82, max: 100.00, 5%: 89.24, 95%: 98.15 +def nln(type, x, training: bool): + y = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, y], axis=0) + + dtype = jax.numpy.float64 + layer_size = 32 + x = hard_and.and_layer(type)(layer_size, dtype=dtype)(x) + x = hard_or.or_layer(type)(layer_size, dtype=dtype)(x) + x = hard_not.not_layer(type)(16, dtype=dtype)(x) + + x = x.reshape((1, 16 * layer_size)) + x = hard_majority.majority_layer(type)()(x) + + z = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, z], axis=0) + ######################################################## + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) + return x def batch_nln(type, x, training: bool): return jax.vmap(lambda x: nln(type, x, training))(x) @@ -375,7 +407,7 @@ def create_train_state(net, rng, dropout_rng, config): # optax.sm3(learning_rate=0.1), # optax.novograd(learning_rate=0.001), # optax.optimistic_gradient_descent(learning_rate=1), - optax.radam(learning_rate=0.005), # 0.02 + optax.radam(learning_rate=0.01), # 0.02 # optax.sgd( # learning_rate=config.learning_rate, momentum=config.momentum, nesterov=False # ), @@ -395,7 +427,7 @@ def my_hinge_loss(predictor_outputs, targets): loss = jax.numpy.abs(predictor_outputs - targets) def hinge(x): - return jax.numpy.where(x >= 0.4, x * x, 0) + return jax.numpy.where(x < 0.5, x, x) return jax.vmap(hinge)(loss) @@ -529,7 +561,7 @@ def get_config(): config.learning_rate = 0.001 config.momentum = 0.9 config.batch_size = 5000 - config.num_epochs = 3000 + config.num_epochs = 4000 return config @@ -571,7 +603,13 @@ def test_noisy_xor(): # hard_weights = harden.hard_weights(trained_state.params) # print(f"trained hard weights: {repr(hard_weights)}") + #if final_test_accuracy < 0.85: + # print("Aborting due to poor performance") + # break + + # Check symbolic net + """ _, hard, symbolic = neural_logic_net.net( lambda type, x, training: nln(type, x, training) ) @@ -581,3 +619,4 @@ def test_noisy_xor(): trained_state, dropout_rng, ) + """ diff --git a/tests/utils.py b/tests/utils.py index 1f2a41e..21f9219 100644 --- a/tests/utils.py +++ b/tests/utils.py @@ -72,21 +72,21 @@ def make_symbolic(*args): def check_consistency(soft: Callable, hard: Callable, expected, *args): - # print(f'\nchecking consistency for {soft.__name__}') + print(f'\nchecking consistency for {soft.__name__}') # Check that the soft function performs as expected soft_output = soft(*args) - # print(f'Expected: {expected}, Actual soft_output: {repr(soft_output)}') + print(f'Expected: {expected}, Actual soft_output: {repr(soft_output)}') assert numpy.allclose(soft_output, expected, equal_nan=True) # Check that the hard function performs as expected hard_args = tuple([harden.harden(arg) for arg in args]) hard_expected = harden.harden(expected) hard_output = hard(*hard_args) - # print(f'Expected: {hard_expected}, Actual hard_output: {repr(hard_output)}') + print(f'Expected: {hard_expected}, Actual hard_output: {repr(hard_output)}') assert numpy.allclose(hard_output, hard_expected, equal_nan=True) # Check that the jaxpr performs as expected symbolic_f = symbolic_generation.make_symbolic_jaxpr(hard, *hard_args) symbolic_output = symbolic_generation.eval_symbolic(symbolic_f, *hard_args) - # print(f'Expected: {hard_expected}, Actual symbolic_output: {repr(symbolic_output)}') + print(f'Expected: {hard_expected}, Actual symbolic_output: {repr(symbolic_output)}') assert numpy.allclose(symbolic_output, hard_expected, equal_nan=True) From c8428c41b64085f0a5ab21555b65cff84714755c Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Tue, 21 Feb 2023 09:38:27 +0000 Subject: [PATCH 035/128] *** noisy xor bookmark: 96.5 % *** --- neurallogic/hard_and.py | 21 ++---------- neurallogic/hard_masks.py | 6 ++-- neurallogic/hard_not.py | 21 ++++-------- neurallogic/hard_or.py | 28 ++++++---------- neurallogic/hard_xor.py | 1 - neurallogic/real_encoder.py | 4 +-- tests/test_noisy_xor.py | 66 ++++++++++++++++++++++++++----------- 7 files changed, 71 insertions(+), 76 deletions(-) diff --git a/neurallogic/hard_and.py b/neurallogic/hard_and.py index e73dcf2..099915e 100644 --- a/neurallogic/hard_and.py +++ b/neurallogic/hard_and.py @@ -3,7 +3,7 @@ import jax from flax import linen as nn -from neurallogic import hard_masks, neural_logic_net, symbolic_generation +from neurallogic import hard_masks, neural_logic_net, symbolic_generation, initialization # TODO: seperate and operation from mask operation @@ -35,21 +35,6 @@ def hard_and_neuron(w, x): hard_and_layer = jax.vmap(hard_and_neuron, (0, None), 0) -# TODO: move initialization to separate file -# TODO: simplify initialization to avoid the need to specify a guassian mean and std -def initialize_near_to_zero(mean=-1, std=0.5): - # TODO: investigate better initialization - def init(key, shape, dtype): - dtype = jax.dtypes.canonicalize_dtype(dtype) - # Sample from standard normal distribution (zero mean, unit variance) - x = jax.random.normal(key, shape, dtype) - # Transform to a normal distribution with mean -1 and standard deviation 0.5 - x = std * x + mean - x = jax.numpy.clip(x, 0.001, 0.999) - return x - - return init - class SoftAndLayer(nn.Module): """ @@ -61,7 +46,7 @@ class SoftAndLayer(nn.Module): """ layer_size: int - weights_init: Callable = initialize_near_to_zero() + weights_init: Callable = initialization.initialize_near_to_zero() dtype: jax.numpy.dtype = jax.numpy.float32 @nn.compact @@ -105,7 +90,7 @@ def __call__(self, x): and_layer = neural_logic_net.select( - lambda layer_size, weights_init=initialize_near_to_zero(), dtype=jax.numpy.float32: SoftAndLayer( + lambda layer_size, weights_init=initialization.initialize_near_to_zero(), dtype=jax.numpy.float32: SoftAndLayer( layer_size, weights_init, dtype ), lambda layer_size, weights_init=nn.initializers.constant( diff --git a/neurallogic/hard_masks.py b/neurallogic/hard_masks.py index cd3206a..371024a 100644 --- a/neurallogic/hard_masks.py +++ b/neurallogic/hard_masks.py @@ -3,10 +3,10 @@ import jax from flax import linen as nn -from neurallogic import neural_logic_net, symbolic_generation, hard_and, hard_or +from neurallogic import neural_logic_net, symbolic_generation, hard_and, hard_or, initialization -def soft_mask_to_true(w: float, x: float) -> float: +def soft_mask_to_true(w: float, x: float): """ w > 0.5 implies the mask operation is inactive, else active @@ -37,7 +37,7 @@ def hard_mask_to_true(w, x): hard_mask_to_true_layer = jax.vmap(hard_mask_to_true_neuron, (0, None), 0) -def soft_mask_to_false(w: float, x: float) -> float: +def soft_mask_to_false(w: float, x: float): """ w > 0.5 implies the mask is inactive, else active diff --git a/neurallogic/hard_not.py b/neurallogic/hard_not.py index c42d02a..90c3347 100644 --- a/neurallogic/hard_not.py +++ b/neurallogic/hard_not.py @@ -3,10 +3,10 @@ import jax from flax import linen as nn -from neurallogic import neural_logic_net, symbolic_generation, hard_and, hard_or +from neurallogic import neural_logic_net, symbolic_generation, hard_and, hard_or, initialization -def soft_not(w: float, x: float) -> float: +def soft_not(w, x): """ w > 0.5 implies the not operation is inactive, else active @@ -23,7 +23,7 @@ def soft_not_deprecated(w: float, x: float) -> float: return hard_or.soft_or(hard_and.soft_and(w, x), hard_and.soft_and(1.0 - w, 1.0 - x)) -def hard_not(w: bool, x: bool) -> bool: +def hard_not(w: bool, x: bool): return jax.numpy.logical_not(jax.numpy.logical_xor(x, w)) @@ -36,17 +36,10 @@ def hard_not(w: bool, x: bool) -> bool: hard_not_layer = jax.vmap(hard_not_neuron, (0, None), 0) -def initialize_uniform_range(lower=0, upper=1): - def init(key, shape, dtype): - dtype = jax.dtypes.canonicalize_dtype(dtype) - x = jax.random.uniform(key, shape, dtype, lower, upper) - return x - - return init class SoftNotLayer(nn.Module): layer_size: int - weights_init: Callable = initialize_uniform_range(0.49, 0.51) + weights_init: Callable = initialization.initialize_uniform_range(0.49, 0.51) dtype: jax.numpy.dtype = jax.numpy.float32 @nn.compact @@ -81,7 +74,7 @@ def __call__(self, x): not_layer = neural_logic_net.select( - lambda layer_size, weights_init=initialize_uniform_range(0.49, 0.51), dtype=jax.numpy.float32: SoftNotLayer(layer_size, weights_init, dtype), - lambda layer_size, weights_init=initialize_uniform_range(0.49, 0.51), dtype=jax.numpy.float32: HardNotLayer(layer_size), - lambda layer_size, weights_init=initialize_uniform_range(0.49, 0.51), dtype=jax.numpy.float32: SymbolicNotLayer(layer_size), + lambda layer_size, weights_init=initialization.initialize_uniform_range(0.49, 0.51), dtype=jax.numpy.float32: SoftNotLayer(layer_size, weights_init, dtype), + lambda layer_size, weights_init=initialization.initialize_uniform_range(0.49, 0.51), dtype=jax.numpy.float32: HardNotLayer(layer_size), + lambda layer_size, weights_init=initialization.initialize_uniform_range(0.49, 0.51), dtype=jax.numpy.float32: SymbolicNotLayer(layer_size), ) diff --git a/neurallogic/hard_or.py b/neurallogic/hard_or.py index fa4917d..b5f5240 100644 --- a/neurallogic/hard_or.py +++ b/neurallogic/hard_or.py @@ -3,7 +3,12 @@ import jax from flax import linen as nn -from neurallogic import neural_logic_net, symbolic_generation, hard_masks +from neurallogic import ( + neural_logic_net, + symbolic_generation, + hard_masks, + initialization, +) # TODO: seperate out the or operation from the mask operation @@ -11,6 +16,7 @@ def soft_or_neuron(w, x): x = jax.vmap(hard_masks.soft_mask_to_false, 0, 0)(w, x) return jax.numpy.max(x) + def soft_or(x, y): m = jax.numpy.maximum(x, y) return jax.numpy.where( @@ -24,6 +30,7 @@ def soft_or_neuron_deprecated(w, x): x = jax.vmap(hard_masks.soft_mask_to_true, 0, 0)(w, x) return jax.lax.reduce(x, 0.0, soft_or, [0]) + def hard_or_neuron(w, x): x = jax.vmap(hard_masks.hard_mask_to_false, 0, 0)(w, x) return jax.lax.reduce(x, False, jax.lax.bitwise_or, [0]) @@ -33,25 +40,10 @@ def hard_or_neuron(w, x): hard_or_layer = jax.vmap(hard_or_neuron, (0, None), 0) -# TODO: investigate better initialization - - -def initialize_near_to_one(): - def init(key, shape, dtype): - dtype = jax.dtypes.canonicalize_dtype(dtype) - # Sample from standard normal distribution (zero mean, unit variance) - x = jax.random.normal(key, shape, dtype) - # Transform to a normal distribution with mean 1 and standard deviation 0.5 - x = 0.5 * x + 1 - x = jax.numpy.clip(x, 0.001, 0.999) - return x - - return init - class SoftOrLayer(nn.Module): layer_size: int - weights_init: Callable = initialize_near_to_one() + weights_init: Callable = initialization.initialize_near_to_one() dtype: jax.numpy.dtype = jax.numpy.float32 @nn.compact @@ -87,7 +79,7 @@ def __call__(self, x): or_layer = neural_logic_net.select( - lambda layer_size, weights_init=initialize_near_to_one(), dtype=jax.numpy.float32: SoftOrLayer( + lambda layer_size, weights_init=initialization.initialize_near_to_one(), dtype=jax.numpy.float32: SoftOrLayer( layer_size, weights_init, dtype ), lambda layer_size, weights_init=nn.initializers.constant( diff --git a/neurallogic/hard_xor.py b/neurallogic/hard_xor.py index fb557e0..b35e8ef 100644 --- a/neurallogic/hard_xor.py +++ b/neurallogic/hard_xor.py @@ -34,7 +34,6 @@ class SoftXorLayer(nn.Module): layer_size: int weights_init: Callable = ( nn.initializers.uniform(1.0) - # hard_and.initialize_near_to_zero() ) dtype: jax.numpy.dtype = jax.numpy.float32 diff --git a/neurallogic/real_encoder.py b/neurallogic/real_encoder.py index 32024b4..1613f4c 100644 --- a/neurallogic/real_encoder.py +++ b/neurallogic/real_encoder.py @@ -8,7 +8,7 @@ # TODO: implement a soft_real_decoder that can perhaps replace the port count approach -def soft_real_encoder(t: float, x: float) -> float: +def soft_real_encoder(t: float, x: float): eps = 0.0000001 # x should be in [0, 1] t = jax.numpy.clip(t, 0, 1) @@ -25,7 +25,7 @@ def soft_real_encoder(t: float, x: float) -> float: ) -def hard_real_encoder(t: float, x: float) -> bool: +def hard_real_encoder(t, x): # t and x must be floats return jax.numpy.where(soft_real_encoder(t, x) > 0.5, True, False) diff --git a/tests/test_noisy_xor.py b/tests/test_noisy_xor.py index beb9287..87e23a2 100644 --- a/tests/test_noisy_xor.py +++ b/tests/test_noisy_xor.py @@ -22,6 +22,7 @@ harden, harden_layer, neural_logic_net, + initialization, ) from tests import utils @@ -137,6 +138,8 @@ def nln_1(type, x, training: bool): config.batch_size = 5000 config.num_epochs = 2000 """ + + # mean: 91.06, sem: 1.15, min: 48.86, max: 99.16, 5%: 48.86, 95%: 98.28 def nln_2(type, x, training: bool): y = jax.vmap(lambda x: 1 - x)(x) @@ -166,6 +169,7 @@ def nln_2(type, x, training: bool): config.num_epochs = 2000 """ + # mean: 91.54, sem: 0.64, min: 48.86, max: 99.58, 5%: 83.09, 95%: 97.10 def nln_3(type, x, training: bool): y = jax.vmap(lambda x: 1 - x)(x) @@ -196,6 +200,7 @@ def nln_3(type, x, training: bool): config.num_epochs = 2500 """ + # mean: 91.84, sem: 0.98, min: 48.86, max: 99.66, 5%: 70.30, 95%: 98.79 def nln_4(type, x, training: bool): y = jax.vmap(lambda x: 1 - x)(x) @@ -288,18 +293,6 @@ def nln_7(type, x, training: bool): return x -""" -| Technique/Accuracy | Mean | 5 %ile | 95 %ile | Min | Max | -| ------------------- | -------------- | ------- | ------- | ------ | ------ | -| Tsetlin | 99.3 +/- 0.3 | 95.9 | 100.0 | 91.6 | 100.0 | -| Neural network | 95.4 +/- 0.5 | 90.1 | 98.6 | 88.2 | 99.9 | -| dB | 94.2 +/- 0.44 | 85.1 | 99.1 | 74.6 | 100.0 | -| SVM | 58.0 +/- 0.3 | 56.4 | 59.2 | 55.4 | 66.5 | -| Naive Bayes | 49.8 +/- 0.2 | 48.3 | 51.0 | 41.3 | 52.7 | -| Logistic regression | 49.8 +/- 0.3 | 47.8 | 51.1 | 41.1 | 53.1 | - -Source: https://arxiv.org/pdf/1804.01508.pdf -""" # mean: 94.15, sem: 0.44, min: 74.62, max: 100.00, 5%: 85.08, 95%: 99.10 # soft_majority variant @@ -329,27 +322,60 @@ def nln_8(type, x, training: bool): x = x.sum(-1) return x + + +# mean: 94.51, sem: 0.37, min: 70.82, max: 100.00, 5%: 89.24, 95%: 98.15 +def nln_9(type, x, training: bool): + y = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, y], axis=0) + + dtype = jax.numpy.float64 + layer_size = 32 + x = hard_and.and_layer(type)(layer_size, dtype=dtype)(x) + x = hard_or.or_layer(type)(layer_size, dtype=dtype)(x) + x = hard_not.not_layer(type)(16, dtype=dtype)(x) + + x = x.reshape((1, 16 * layer_size)) + x = hard_majority.majority_layer(type)()(x) + + z = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, z], axis=0) + ######################################################## + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) + return x + + """ | Technique/Accuracy | Mean | 5 %ile | 95 %ile | Min | Max | | ------------------- | -------------- | ------- | ------- | ------ | ------ | | Tsetlin | 99.3 +/- 0.3 | 95.9 | 100.0 | 91.6 | 100.0 | +| dB | 96.5 +/- 0.2 | 93.2 | 99.5 | 87.9 | 100.0 | | Neural network | 95.4 +/- 0.5 | 90.1 | 98.6 | 88.2 | 99.9 | -| dB | 94.5 +/- 0.4 | 89.2 | 98.2 | 70.8 | 100.0 | | SVM | 58.0 +/- 0.3 | 56.4 | 59.2 | 55.4 | 66.5 | | Naive Bayes | 49.8 +/- 0.2 | 48.3 | 51.0 | 41.3 | 52.7 | | Logistic regression | 49.8 +/- 0.3 | 47.8 | 51.1 | 41.1 | 53.1 | Source: https://arxiv.org/pdf/1804.01508.pdf """ -# mean: 94.51, sem: 0.37, min: 70.82, max: 100.00, 5%: 89.24, 95%: 98.15 + +# mean: 96.52, sem: 0.23, min: 87.86, max: 100.00, 5%: 93.16, 95%: 99.51 def nln(type, x, training: bool): y = jax.vmap(lambda x: 1 - x)(x) x = jax.numpy.concatenate([x, y], axis=0) dtype = jax.numpy.float64 layer_size = 32 - x = hard_and.and_layer(type)(layer_size, dtype=dtype)(x) - x = hard_or.or_layer(type)(layer_size, dtype=dtype)(x) + x = hard_and.and_layer(type)( + layer_size, + dtype=dtype, + weights_init=initialization.initialize_bernoulli(0.01, 0.1, 0.51), + )(x) + x = hard_or.or_layer(type)( + layer_size, + dtype=dtype, + weights_init=initialization.initialize_bernoulli(0.99, 0.49, 0.9), + )(x) x = hard_not.not_layer(type)(16, dtype=dtype)(x) x = x.reshape((1, 16 * layer_size)) @@ -362,6 +388,7 @@ def nln(type, x, training: bool): x = x.sum(-1) return x + def batch_nln(type, x, training: bool): return jax.vmap(lambda x: nln(type, x, training))(x) @@ -551,7 +578,7 @@ def logits_fn(params): def apply_hard_model_to_data(state, features, labels): accuracy = 0 - for (image, label) in tqdm(zip(features, labels), total=len(features)): + for image, label in tqdm(zip(features, labels), total=len(features)): accuracy += apply_hard_model(state, image, label) return accuracy / len(features) @@ -561,7 +588,7 @@ def get_config(): config.learning_rate = 0.001 config.momentum = 0.9 config.batch_size = 5000 - config.num_epochs = 4000 + config.num_epochs = 1000 return config @@ -603,11 +630,10 @@ def test_noisy_xor(): # hard_weights = harden.hard_weights(trained_state.params) # print(f"trained hard weights: {repr(hard_weights)}") - #if final_test_accuracy < 0.85: + # if final_test_accuracy < 0.85: # print("Aborting due to poor performance") # break - # Check symbolic net """ _, hard, symbolic = neural_logic_net.net( From 2c0a852b18b052a84a94fa7ba702578e77fdaf12 Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Tue, 21 Feb 2023 10:13:55 +0000 Subject: [PATCH 036/128] *** noisy xor bookmark: 97.1 % *** --- neurallogic/hard_masks.py | 8 ++++---- tests/test_noisy_xor.py | 39 +++++++++++++++++++++++++++++++++------ 2 files changed, 37 insertions(+), 10 deletions(-) diff --git a/neurallogic/hard_masks.py b/neurallogic/hard_masks.py index 371024a..4fed76a 100644 --- a/neurallogic/hard_masks.py +++ b/neurallogic/hard_masks.py @@ -6,7 +6,7 @@ from neurallogic import neural_logic_net, symbolic_generation, hard_and, hard_or, initialization -def soft_mask_to_true(w: float, x: float): +def soft_mask_to_true_deprecated(w: float, x: float): """ w > 0.5 implies the mask operation is inactive, else active @@ -17,7 +17,7 @@ def soft_mask_to_true(w: float, x: float): w = jax.numpy.clip(w, 0.0, 1.0) return jax.numpy.maximum(x, 1.0 - w) -def soft_mask_to_true_deprecated(w: float, x: float) -> float: +def soft_mask_to_true(w: float, x: float) -> float: w = jax.numpy.clip(w, 0.0, 1.0) return hard_or.soft_or(x, 1.0 - w) @@ -37,7 +37,7 @@ def hard_mask_to_true(w, x): hard_mask_to_true_layer = jax.vmap(hard_mask_to_true_neuron, (0, None), 0) -def soft_mask_to_false(w: float, x: float): +def soft_mask_to_false_deprecated(w: float, x: float): """ w > 0.5 implies the mask is inactive, else active @@ -49,7 +49,7 @@ def soft_mask_to_false(w: float, x: float): # TODO: what is this madness? return 1.0 - jax.numpy.maximum(1.0 - x, 1.0 - w) -def soft_mask_to_false_deprecated(w: float, x: float) -> float: +def soft_mask_to_false(w: float, x: float) -> float: w = jax.numpy.clip(w, 0.0, 1.0) return hard_and.soft_and(x, w) diff --git a/tests/test_noisy_xor.py b/tests/test_noisy_xor.py index 87e23a2..906e2af 100644 --- a/tests/test_noisy_xor.py +++ b/tests/test_noisy_xor.py @@ -293,7 +293,6 @@ def nln_7(type, x, training: bool): return x - # mean: 94.15, sem: 0.44, min: 74.62, max: 100.00, 5%: 85.08, 95%: 99.10 # soft_majority variant # optax.radam(learning_rate=0.005) @@ -323,7 +322,6 @@ def nln_8(type, x, training: bool): return x - # mean: 94.51, sem: 0.37, min: 70.82, max: 100.00, 5%: 89.24, 95%: 98.15 def nln_9(type, x, training: bool): y = jax.vmap(lambda x: 1 - x)(x) @@ -346,11 +344,41 @@ def nln_9(type, x, training: bool): return x + +# mean: 96.52, sem: 0.23, min: 87.86, max: 100.00, 5%: 93.16, 95%: 99.51 +def nln_10(type, x, training: bool): + y = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, y], axis=0) + + dtype = jax.numpy.float64 + layer_size = 32 + x = hard_and.and_layer(type)( + layer_size, + dtype=dtype, + weights_init=initialization.initialize_bernoulli(0.01, 0.1, 0.51), + )(x) + x = hard_or.or_layer(type)( + layer_size, + dtype=dtype, + weights_init=initialization.initialize_bernoulli(0.99, 0.49, 0.9), + )(x) + x = hard_not.not_layer(type)(16, dtype=dtype)(x) + + x = x.reshape((1, 16 * layer_size)) + x = hard_majority.majority_layer(type)()(x) + + z = jax.vmap(lambda x: 1 - x)(x) + x = jax.numpy.concatenate([x, z], axis=0) + ######################################################## + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) + return x + """ | Technique/Accuracy | Mean | 5 %ile | 95 %ile | Min | Max | | ------------------- | -------------- | ------- | ------- | ------ | ------ | | Tsetlin | 99.3 +/- 0.3 | 95.9 | 100.0 | 91.6 | 100.0 | -| dB | 96.5 +/- 0.2 | 93.2 | 99.5 | 87.9 | 100.0 | +| dB | 97.1 +/- 0.2 | 93.9 | 99.6 | 92.2 | 100.0 | | Neural network | 95.4 +/- 0.5 | 90.1 | 98.6 | 88.2 | 99.9 | | SVM | 58.0 +/- 0.3 | 56.4 | 59.2 | 55.4 | 66.5 | | Naive Bayes | 49.8 +/- 0.2 | 48.3 | 51.0 | 41.3 | 52.7 | @@ -358,8 +386,7 @@ def nln_9(type, x, training: bool): Source: https://arxiv.org/pdf/1804.01508.pdf """ - -# mean: 96.52, sem: 0.23, min: 87.86, max: 100.00, 5%: 93.16, 95%: 99.51 +# mean: 97.12, sem: 0.18, min: 92.18, max: 100.00, 5%: 93.90, 95%: 99.58 def nln(type, x, training: bool): y = jax.vmap(lambda x: 1 - x)(x) x = jax.numpy.concatenate([x, y], axis=0) @@ -588,7 +615,7 @@ def get_config(): config.learning_rate = 0.001 config.momentum = 0.9 config.batch_size = 5000 - config.num_epochs = 1000 + config.num_epochs = 2000 return config From e4186b3e73b38eea6afb5e765fc842e570922ca8 Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Tue, 21 Feb 2023 15:10:11 +0000 Subject: [PATCH 037/128] add this --- neurallogic/initialization.py | 48 +++++++++++++++++++++++++++++++++++ 1 file changed, 48 insertions(+) create mode 100644 neurallogic/initialization.py diff --git a/neurallogic/initialization.py b/neurallogic/initialization.py new file mode 100644 index 0000000..12ef3b2 --- /dev/null +++ b/neurallogic/initialization.py @@ -0,0 +1,48 @@ +import jax + + +def initialize_uniform_range(lower=0.0, upper=1.0): + def init(key, shape, dtype): + dtype = jax.dtypes.canonicalize_dtype(dtype) + x = jax.random.uniform(key, shape, dtype, lower, upper) + return x + + return init + + +def initialize_near_to_zero(mean=-1, std=0.5): + def init(key, shape, dtype): + dtype = jax.dtypes.canonicalize_dtype(dtype) + # Sample from standard normal distribution (zero mean, unit variance) + x = jax.random.normal(key, shape, dtype) + # Transform to a normal distribution with mean -1 and standard deviation 0.5 + x = std * x + mean + x = jax.numpy.clip(x, 0.001, 0.999) + return x + + return init + + +def initialize_near_to_one(): + def init(key, shape, dtype): + dtype = jax.dtypes.canonicalize_dtype(dtype) + # Sample from standard normal distribution (zero mean, unit variance) + x = jax.random.normal(key, shape, dtype) + # Transform to a normal distribution with mean 1 and standard deviation 0.5 + x = 0.5 * x + 1 + x = jax.numpy.clip(x, 0.001, 0.999) + return x + + return init + + +# TODO: get rid of symmetry +def initialize_bernoulli(p=0.5, low=0.001, high=0.999): + def init(key, shape, dtype): + x = jax.random.bernoulli(key, p, shape) + x = jax.random.bernoulli(key, p, shape) + x = jax.numpy.where(x, high, low) + x = jax.numpy.asarray(x, dtype) + return x + + return init From b0062a2a34a733be2d94d9a75bdd79678f302a3c Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Wed, 22 Feb 2023 12:57:25 +0000 Subject: [PATCH 038/128] *** noisy xor 97.9% bookmark *** --- neurallogic/hard_and.py | 2 +- neurallogic/hard_masks.py | 2 + neurallogic/hard_not.py | 1 + neurallogic/hard_or.py | 2 +- neurallogic/initialization.py | 12 +- tests/test_noisy_xor.py | 377 ++-------------------------------- 6 files changed, 33 insertions(+), 363 deletions(-) diff --git a/neurallogic/hard_and.py b/neurallogic/hard_and.py index 099915e..794930e 100644 --- a/neurallogic/hard_and.py +++ b/neurallogic/hard_and.py @@ -20,7 +20,7 @@ def soft_and(x, y): m + 0.5 * (x + y) * (0.5 - m), ) - +# This doesn't work well def soft_and_neuron_deprecated(w, x): x = jax.vmap(hard_masks.soft_mask_to_true, 0, 0)(w, x) return jax.lax.reduce(x, 1.0, soft_and, [0]) diff --git a/neurallogic/hard_masks.py b/neurallogic/hard_masks.py index 4fed76a..480c568 100644 --- a/neurallogic/hard_masks.py +++ b/neurallogic/hard_masks.py @@ -17,6 +17,7 @@ def soft_mask_to_true_deprecated(w: float, x: float): w = jax.numpy.clip(w, 0.0, 1.0) return jax.numpy.maximum(x, 1.0 - w) +# Superior on noisy XOR def soft_mask_to_true(w: float, x: float) -> float: w = jax.numpy.clip(w, 0.0, 1.0) return hard_or.soft_or(x, 1.0 - w) @@ -49,6 +50,7 @@ def soft_mask_to_false_deprecated(w: float, x: float): # TODO: what is this madness? return 1.0 - jax.numpy.maximum(1.0 - x, 1.0 - w) +# Superior on noisy XOR def soft_mask_to_false(w: float, x: float) -> float: w = jax.numpy.clip(w, 0.0, 1.0) return hard_and.soft_and(x, w) diff --git a/neurallogic/hard_not.py b/neurallogic/hard_not.py index 90c3347..cd3ff31 100644 --- a/neurallogic/hard_not.py +++ b/neurallogic/hard_not.py @@ -17,6 +17,7 @@ def soft_not(w, x): w = jax.numpy.clip(w, 0.0, 1.0) return 1.0 - w + x * (2.0 * w - 1.0) +# TODO: split out function of parameter, and not operation, in order to simplify def soft_not_deprecated(w: float, x: float) -> float: w = jax.numpy.clip(w, 0.0, 1.0) # (w && x) || (! w && ! x) diff --git a/neurallogic/hard_or.py b/neurallogic/hard_or.py index b5f5240..1a8f822 100644 --- a/neurallogic/hard_or.py +++ b/neurallogic/hard_or.py @@ -25,7 +25,7 @@ def soft_or(x, y): m + 0.5 * (x + y) * (0.5 - m), ) - +# This doesn't work well def soft_or_neuron_deprecated(w, x): x = jax.vmap(hard_masks.soft_mask_to_true, 0, 0)(w, x) return jax.lax.reduce(x, 0.0, soft_or, [0]) diff --git a/neurallogic/initialization.py b/neurallogic/initialization.py index 12ef3b2..d31ea9c 100644 --- a/neurallogic/initialization.py +++ b/neurallogic/initialization.py @@ -39,10 +39,20 @@ def init(key, shape, dtype): # TODO: get rid of symmetry def initialize_bernoulli(p=0.5, low=0.001, high=0.999): def init(key, shape, dtype): - x = jax.random.bernoulli(key, p, shape) x = jax.random.bernoulli(key, p, shape) x = jax.numpy.where(x, high, low) x = jax.numpy.asarray(x, dtype) return x return init + +def initialize_bernoulli_uniform(p=0.5, low=0.001, high=0.999): + def init(key, shape, dtype): + x = jax.random.bernoulli(key, p, shape) + h = jax.random.uniform(key, shape, dtype, 0.5, high) + l = jax.random.uniform(key, shape, dtype, low, 0.5) + x = jax.numpy.where(x, h, l) + x = jax.numpy.asarray(x, dtype) + return x + + return init diff --git a/tests/test_noisy_xor.py b/tests/test_noisy_xor.py index 906e2af..cae912d 100644 --- a/tests/test_noisy_xor.py +++ b/tests/test_noisy_xor.py @@ -13,12 +13,9 @@ from neurallogic import ( hard_and, - hard_dropout, hard_majority, - hard_masks, hard_not, hard_or, - hard_xor, harden, harden_layer, neural_logic_net, @@ -90,295 +87,11 @@ def get_data(): return training_data, test_data -""" - schedule = optax.warmup_cosine_decay_schedule( - init_value=0.01, - peak_value=0.1, - warmup_steps=100, - decay_steps=config.num_epochs - 100, - end_value=0.05, - ) - tx = optax.chain( - # optax.clip(1.0), - #optax.adamw(learning_rate=schedule), - optax.adam(learning_rate=schedule), - ) -""" -# with (4,1) error: -# mean: 98.04, sem: 0.42, min: 70.32, max: 100.00, 5%: 93.90, 95%: 100.00 - - -# mean: 82.63, sem: 1.41, min: 48.86, max: 100.00, 5%: 59.70, 95%: 100.00 -def nln_1(type, x, training: bool): - y = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, y], axis=0) - dtype = jax.numpy.float32 - layer_size = 48 - x = hard_and.and_layer(type)(layer_size, dtype=dtype)(x) - x = hard_not.not_layer(type)(8, dtype=dtype)(x) # 48 x 8 = 384 - x = x.reshape((32, 12)) # 32 x 12 = 384 - x = hard_majority.majority_layer(type)()(x) - x = x.reshape((4, 8)) # 4 x 8 = 32 - x = hard_majority.majority_layer(type)()(x) - # Final majority should have reasonable width - x = x.reshape((1, 4)) # 4 x 1 = 4 - x = hard_majority.majority_layer(type)()(x) - z = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, z], axis=0) - ######################################################## - x = x.reshape((num_classes, int(x.shape[0] / num_classes))) - x = x.sum(-1) - return x - - -""" -SGD -config.learning_rate = 2.0 -config.momentum = 0.9 -config.batch_size = 5000 -config.num_epochs = 2000 -""" - - -# mean: 91.06, sem: 1.15, min: 48.86, max: 99.16, 5%: 48.86, 95%: 98.28 -def nln_2(type, x, training: bool): - y = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, y], axis=0) - dtype = jax.numpy.float32 - layer_size = 32 - x = hard_and.and_layer(type)(layer_size, dtype=dtype)(x) - x = hard_or.or_layer(type)(layer_size, dtype=dtype)(x) - x = hard_not.not_layer(type)(64, dtype=dtype)(x) # 32 x 64 = 2048 - x = x.reshape((64, 32)) # 64 x 32 = 2048 - x = hard_majority.majority_layer(type)()(x) - x = x.reshape((1, 64)) # 1 x 64 = 64 - x = hard_majority.majority_layer(type)()(x) - z = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, z], axis=0) - ######################################################## - x = x.reshape((num_classes, int(x.shape[0] / num_classes))) - x = x.sum(-1) - return x - - -""" -SGD -config.learning_rate = 2.0 -config.momentum = 0.9 -config.batch_size = 5000 -config.num_epochs = 2000 -""" - - -# mean: 91.54, sem: 0.64, min: 48.86, max: 99.58, 5%: 83.09, 95%: 97.10 -def nln_3(type, x, training: bool): - y = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, y], axis=0) - - dtype = jax.numpy.float32 - layer_size = 64 - x = hard_and.and_layer(type)(layer_size, dtype=dtype)(x) - x = hard_or.or_layer(type)(layer_size, dtype=dtype)(x) - x = hard_not.not_layer(type)(16, dtype=dtype)(x) - - x = x.reshape((1, layer_size * 16)) - x = hard_majority.majority_layer(type)()(x) - - z = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, z], axis=0) - ######################################################## - x = x.reshape((num_classes, int(x.shape[0] / num_classes))) - x = x.sum(-1) - return x - - -""" -SGD -config.learning_rate = 1.0 -config.momentum = 0.9 -config.batch_size = 5000 -config.num_epochs = 2500 -""" - - -# mean: 91.84, sem: 0.98, min: 48.86, max: 99.66, 5%: 70.30, 95%: 98.79 -def nln_4(type, x, training: bool): - y = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, y], axis=0) - - dtype = jax.numpy.float32 - layer_size = 32 - x = hard_and.and_layer(type)(layer_size, dtype=dtype)(x) - x = hard_or.or_layer(type)(layer_size, dtype=dtype)(x) - x = hard_not.not_layer(type)(16, dtype=dtype)(x) - - x = x.reshape((1, layer_size * 16)) - x = hard_majority.majority_layer(type)()(x) - - z = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, z], axis=0) - ######################################################## - x = x.reshape((num_classes, int(x.shape[0] / num_classes))) - x = x.sum(-1) - return x - - -# mean: 89.77, sem: 1.18, min: 48.80, max: 100.00, 5%: 67.40, 95%: 99.04 -def nln_5(type, x, training: bool): - y = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, y], axis=0) - - dtype = jax.numpy.float32 - layer_size = 32 - x = hard_and.and_layer(type)(layer_size, dtype=dtype)(x) - x = hard_or.or_layer(type)(layer_size, dtype=dtype)(x) - x = hard_not.not_layer(type)(8, dtype=dtype)(x) - - x = x.reshape((1, layer_size * 8)) - x = hard_majority.majority_layer(type)()(x) - - z = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, z], axis=0) - ######################################################## - x = x.reshape((num_classes, int(x.shape[0] / num_classes))) - x = x.sum(-1) - return x - - -# mean: 89.19, sem: 1.42, min: 48.86, max: 100.00, 5%: 51.14, 95%: 98.86 -def nln_6(type, x, training: bool): - y = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, y], axis=0) - - dtype = jax.numpy.float32 - layer_size = 32 - x = hard_and.and_layer(type)(layer_size, dtype=dtype)(x) - x = hard_or.or_layer(type)(layer_size, dtype=dtype)(x) - x = hard_not.not_layer(type)(16, dtype=dtype)(x) - - x = x.reshape((16, layer_size)) - x = hard_majority.majority_layer(type)()(x) - - x = hard_not.not_layer(type)(8, dtype=dtype)(x) - x = x.reshape((1, 16 * 8)) - x = hard_majority.majority_layer(type)()(x) - - z = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, z], axis=0) - ######################################################## - x = x.reshape((num_classes, int(x.shape[0] / num_classes))) - x = x.sum(-1) - return x - - -# mean: 89.34, sem: 0.74, min: 51.16, max: 99.28, 5%: 76.88, 95%: 96.98 -def nln_7(type, x, training: bool): - y = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, y], axis=0) - - dtype = jax.numpy.float64 - layer_size = 40 - x = hard_and.and_layer(type)(layer_size, dtype=dtype)(x) - x = hard_or.or_layer(type)(layer_size, dtype=dtype)(x) - x = hard_not.not_layer(type)(20, dtype=dtype)(x) - - x = x.reshape((1, layer_size * 20)) - x = hard_majority.majority_layer(type)()(x) - - z = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, z], axis=0) - ######################################################## - x = x.reshape((num_classes, int(x.shape[0] / num_classes))) - x = x.sum(-1) - return x - - -# mean: 94.15, sem: 0.44, min: 74.62, max: 100.00, 5%: 85.08, 95%: 99.10 -# soft_majority variant -# optax.radam(learning_rate=0.005) -# config.batch_size = 5000 -# config.num_epochs = 3000 -# N.B. With normal soft majority we get -# mean: 83.82, sem: 1.75, min: 48.86, max: 100.00, 5%: 48.86, 95%: 99.42 -# Hence new variant seems very effective in avoiding local minima -def nln_8(type, x, training: bool): - y = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, y], axis=0) - - dtype = jax.numpy.float64 - layer_size = 32 - x = hard_and.and_layer(type)(layer_size, dtype=dtype)(x) - x = hard_or.or_layer(type)(layer_size, dtype=dtype)(x) - x = hard_not.not_layer(type)(16, dtype=dtype)(x) - - x = x.reshape((1, 16 * layer_size)) - x = hard_majority.majority_layer(type)()(x) - - z = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, z], axis=0) - ######################################################## - x = x.reshape((num_classes, int(x.shape[0] / num_classes))) - x = x.sum(-1) - return x - - -# mean: 94.51, sem: 0.37, min: 70.82, max: 100.00, 5%: 89.24, 95%: 98.15 -def nln_9(type, x, training: bool): - y = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, y], axis=0) - - dtype = jax.numpy.float64 - layer_size = 32 - x = hard_and.and_layer(type)(layer_size, dtype=dtype)(x) - x = hard_or.or_layer(type)(layer_size, dtype=dtype)(x) - x = hard_not.not_layer(type)(16, dtype=dtype)(x) - - x = x.reshape((1, 16 * layer_size)) - x = hard_majority.majority_layer(type)()(x) - - z = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, z], axis=0) - ######################################################## - x = x.reshape((num_classes, int(x.shape[0] / num_classes))) - x = x.sum(-1) - return x - - - -# mean: 96.52, sem: 0.23, min: 87.86, max: 100.00, 5%: 93.16, 95%: 99.51 -def nln_10(type, x, training: bool): - y = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, y], axis=0) - - dtype = jax.numpy.float64 - layer_size = 32 - x = hard_and.and_layer(type)( - layer_size, - dtype=dtype, - weights_init=initialization.initialize_bernoulli(0.01, 0.1, 0.51), - )(x) - x = hard_or.or_layer(type)( - layer_size, - dtype=dtype, - weights_init=initialization.initialize_bernoulli(0.99, 0.49, 0.9), - )(x) - x = hard_not.not_layer(type)(16, dtype=dtype)(x) - - x = x.reshape((1, 16 * layer_size)) - x = hard_majority.majority_layer(type)()(x) - - z = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, z], axis=0) - ######################################################## - x = x.reshape((num_classes, int(x.shape[0] / num_classes))) - x = x.sum(-1) - return x - """ | Technique/Accuracy | Mean | 5 %ile | 95 %ile | Min | Max | | ------------------- | -------------- | ------- | ------- | ------ | ------ | | Tsetlin | 99.3 +/- 0.3 | 95.9 | 100.0 | 91.6 | 100.0 | -| dB | 97.1 +/- 0.2 | 93.9 | 99.6 | 92.2 | 100.0 | +| dB | 97.9 +/- 0.2 | 95.4 | 100.0 | 93.6 | 100.0 | | Neural network | 95.4 +/- 0.5 | 90.1 | 98.6 | 88.2 | 99.9 | | SVM | 58.0 +/- 0.3 | 56.4 | 59.2 | 55.4 | 66.5 | | Naive Bayes | 49.8 +/- 0.2 | 48.3 | 51.0 | 41.3 | 52.7 | @@ -386,26 +99,33 @@ def nln_10(type, x, training: bool): Source: https://arxiv.org/pdf/1804.01508.pdf """ -# mean: 97.12, sem: 0.18, min: 92.18, max: 100.00, 5%: 93.90, 95%: 99.58 + + +# mean: 97.89, sem: 0.15, min: 93.58, max: 100.00, 5%: 95.40, 95%: 100.00 def nln(type, x, training: bool): y = jax.vmap(lambda x: 1 - x)(x) x = jax.numpy.concatenate([x, y], axis=0) - dtype = jax.numpy.float64 layer_size = 32 + dtype = jax.numpy.float64 x = hard_and.and_layer(type)( layer_size, dtype=dtype, - weights_init=initialization.initialize_bernoulli(0.01, 0.1, 0.51), + weights_init=initialization.initialize_bernoulli(0.01, 0.3, 0.501), )(x) x = hard_or.or_layer(type)( layer_size, dtype=dtype, - weights_init=initialization.initialize_bernoulli(0.99, 0.49, 0.9), + weights_init=initialization.initialize_bernoulli(0.99, 0.499, 0.7), + )(x) + not_layer_size = 16 + x = hard_not.not_layer(type)( + not_layer_size, + dtype=dtype, + weights_init=initialization.initialize_uniform_range(0.499, 0.501), )(x) - x = hard_not.not_layer(type)(16, dtype=dtype)(x) - x = x.reshape((1, 16 * layer_size)) + x = x.reshape((1, layer_size * not_layer_size)) x = hard_majority.majority_layer(type)()(x) z = jax.vmap(lambda x: 1 - x)(x) @@ -427,46 +147,7 @@ class TrainState(train_state.TrainState): def create_train_state(net, rng, dropout_rng, config): mock_input = jax.numpy.ones([1, num_features]) soft_weights = net.init(rng, mock_input, training=False)["params"] - - """ - schedule = optax.linear_onecycle_schedule( - transition_steps=3000, - peak_value=1.0, - pct_start=0.3, - pct_final=0.85, - div_factor=25.0, - final_div_factor=1e4, - ) - schedule = optax.linear_schedule( - init_value=0.01, - end_value=0.01, - transition_steps=config.num_epochs, - transition_begin=0, - ) - """ - schedule = optax.warmup_cosine_decay_schedule( - init_value=0.1, - peak_value=2, - warmup_steps=0, - decay_steps=500, - end_value=0.01, - ) - tx = optax.chain( - # optax.clip(1.0), - # optax.adamw(learning_rate=0.01, weight_decay=0.0001), - # optax.adam(learning_rate=config.learning_rate), - # optax.adabelief(learning_rate=0.01), - # optax.adamax(learning_rate=0.01), - # optax.amsgrad(learning_rate=0.002), - # optax.sm3(learning_rate=0.1), - # optax.novograd(learning_rate=0.001), - # optax.optimistic_gradient_descent(learning_rate=1), - optax.radam(learning_rate=0.01), # 0.02 - # optax.sgd( - # learning_rate=config.learning_rate, momentum=config.momentum, nesterov=False - # ), - ) - + tx = optax.radam(learning_rate=config.learning_rate) return TrainState.create( apply_fn=net.apply, params=soft_weights, tx=tx, dropout_rng=dropout_rng ) @@ -477,15 +158,6 @@ def update_model(state, grads): return state.apply_gradients(grads=grads) -def my_hinge_loss(predictor_outputs, targets): - loss = jax.numpy.abs(predictor_outputs - targets) - - def hinge(x): - return jax.numpy.where(x < 0.5, x, x) - - return jax.vmap(hinge)(loss) - - def apply_model_with_grad_impl(state, features, labels, dropout_rng, training: bool): dropout_train_rng = jax.random.fold_in(key=dropout_rng, data=state.step) @@ -499,8 +171,6 @@ def loss_fn(params): one_hot = jax.nn.one_hot(labels, num_classes, dtype=jax.numpy.int32) loss = jax.numpy.mean( optax.softmax_cross_entropy(logits=logits, labels=one_hot) - # optax.l2_loss(predictions=logits, targets=one_hot) - # my_hinge_loss(logits, one_hot) ) return loss, logits @@ -563,8 +233,6 @@ def train_and_evaluate( ): state = create_train_state(net, init_rng, dropout_rng, config) x_training, y_training, x_test, y_test = data - best_train_accuracy = 0.0 - best_test_accuracy = 0.0 for epoch in range(1, config.num_epochs + 1): init_rng, input_rng = jax.random.split(init_rng) state, train_loss, train_accuracy = train_epoch( @@ -573,15 +241,6 @@ def train_and_evaluate( _, test_loss, test_accuracy = apply_model_with_grad( state, x_test, y_test, dropout_rng ) - if train_accuracy > best_train_accuracy: - best_train_accuracy = train_accuracy - # print(f"best_train_accuracy: {best_train_accuracy * 100:.2f}") - if test_accuracy >= best_test_accuracy: - best_test_accuracy = test_accuracy - # print(f"best_test_accuracy: {best_test_accuracy * 100:.2f}") - # else: - # print(f"test_accuracy: {test_accuracy * 100:.2f}") - # print("\n") print( "epoch:% 3d, train_loss: %.4f, train_accuracy: %.2f, test_loss: %.4f, test_accuracy: %.2f" @@ -612,8 +271,7 @@ def apply_hard_model_to_data(state, features, labels): def get_config(): config = ml_collections.ConfigDict() - config.learning_rate = 0.001 - config.momentum = 0.9 + config.learning_rate = 0.01 config.batch_size = 5000 config.num_epochs = 2000 return config @@ -660,9 +318,8 @@ def test_noisy_xor(): # if final_test_accuracy < 0.85: # print("Aborting due to poor performance") # break - - # Check symbolic net """ + # Check symbolic net _, hard, symbolic = neural_logic_net.net( lambda type, x, training: nln(type, x, training) ) From c728621b39ed951b682957e4fdf188f8e2aafc37 Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Wed, 22 Feb 2023 16:17:47 +0000 Subject: [PATCH 039/128] restore iris result --- neurallogic/hard_majority.py | 1 + neurallogic/hard_masks.py | 28 +++++++++++++++++++++++++--- tests/test_iris.py | 15 +++++++++++---- tests/test_noisy_xor.py | 8 +++----- 4 files changed, 40 insertions(+), 12 deletions(-) diff --git a/neurallogic/hard_majority.py b/neurallogic/hard_majority.py index b0eec0f..8f208a0 100644 --- a/neurallogic/hard_majority.py +++ b/neurallogic/hard_majority.py @@ -7,6 +7,7 @@ def majority_index(input_size: int) -> int: return (input_size - 1) // 2 +# TODO: properly factor with/without margin versions def majority_bit(x: jax.numpy.array) -> float: index = majority_index(x.shape[-1]) diff --git a/neurallogic/hard_masks.py b/neurallogic/hard_masks.py index 480c568..506ef43 100644 --- a/neurallogic/hard_masks.py +++ b/neurallogic/hard_masks.py @@ -5,8 +5,10 @@ from neurallogic import neural_logic_net, symbolic_generation, hard_and, hard_or, initialization +# TODO: properly factor with/without margin versions -def soft_mask_to_true_deprecated(w: float, x: float): + +def soft_mask_to_true_without_margin(w: float, x: float): """ w > 0.5 implies the mask operation is inactive, else active @@ -28,17 +30,19 @@ def hard_mask_to_true(w, x): return jax.numpy.logical_or(x, jax.numpy.logical_not(w)) +soft_mask_to_true_without_margin_neuron = jax.vmap(soft_mask_to_true_without_margin, 0, 0) soft_mask_to_true_neuron = jax.vmap(soft_mask_to_true, 0, 0) hard_mask_to_true_neuron = jax.vmap(hard_mask_to_true, 0, 0) +soft_mask_to_true_without_margin_layer = jax.vmap(soft_mask_to_true_without_margin_neuron, (0, None), 0) soft_mask_to_true_layer = jax.vmap(soft_mask_to_true_neuron, (0, None), 0) hard_mask_to_true_layer = jax.vmap(hard_mask_to_true_neuron, (0, None), 0) -def soft_mask_to_false_deprecated(w: float, x: float): +def soft_mask_to_false_without_margin(w: float, x: float): """ w > 0.5 implies the mask is inactive, else active @@ -60,11 +64,13 @@ def hard_mask_to_false(w, x): return jax.numpy.logical_and(x, w) +soft_mask_to_false_without_margin_neuron = jax.vmap(soft_mask_to_false_without_margin, 0, 0) soft_mask_to_false_neuron = jax.vmap(soft_mask_to_false, 0, 0) hard_mask_to_false_neuron = jax.vmap(hard_mask_to_false, 0, 0) +soft_mask_to_false_without_margin_layer = jax.vmap(soft_mask_to_false_without_margin_neuron, (0, None), 0) soft_mask_to_false_layer = jax.vmap(soft_mask_to_false_neuron, (0, None), 0) hard_mask_to_false_layer = jax.vmap(hard_mask_to_false_neuron, (0, None), 0) @@ -107,6 +113,23 @@ def __call__(self, x): return symbolic_generation.symbolic_expression(jaxpr, x) +mask_to_true_without_margin_layer = neural_logic_net.select( + lambda layer_size, weights_init=nn.initializers.uniform( + 1.0 + ), dtype=jax.numpy.float32: SoftMaskLayer( + soft_mask_to_true_without_margin_layer, layer_size, weights_init, dtype + ), + lambda layer_size, weights_init=nn.initializers.uniform( + 1.0 + ), dtype=jax.numpy.float32: HardMaskLayer(hard_mask_to_true_layer, layer_size), + lambda layer_size, weights_init=nn.initializers.uniform( + 1.0 + ), dtype=jax.numpy.float32: SymbolicMaskLayer( + HardMaskLayer(hard_mask_to_true_layer, layer_size) + ), +) + + mask_to_true_layer = neural_logic_net.select( lambda layer_size, weights_init=nn.initializers.uniform( 1.0 @@ -123,7 +146,6 @@ def __call__(self, x): ), ) - mask_to_false_layer = neural_logic_net.select( lambda layer_size, weights_init=nn.initializers.uniform( 1.0 diff --git a/tests/test_iris.py b/tests/test_iris.py index 1b0b80b..76c9ba1 100644 --- a/tests/test_iris.py +++ b/tests/test_iris.py @@ -20,6 +20,7 @@ harden_layer, neural_logic_net, real_encoder, + initialization, ) from tests import utils @@ -139,11 +140,16 @@ def nln_iris(type, x, training: bool): Source: https://arxiv.org/pdf/1804.01508.pdf """ +# TODO: implement count layer, k-high neuron, and multi-label classification +# to avoid the need for the harden layer +# Using majority without margin # mean: 94.18, sem: 0.13, min: 80.00, max: 100.00, 5%: 86.67, 95%: 100.00 +# Using majority with margin +# mean: 93.95, sem: 0.13, min: 76.67, max: 100.00, 5%: 86.67, 95%: 100.00 def nln_binary_iris(type, x, training: bool): dtype = jax.numpy.float32 - x = hard_masks.mask_to_true_layer(type)(120, dtype=dtype)(x) + x = hard_masks.mask_to_true_without_margin_layer(type)(120, dtype=dtype)(x) x = hard_majority.majority_layer(type)()(x) x = hard_dropout.hard_dropout(type)( rate=0.25, @@ -174,6 +180,7 @@ def create_train_state(net, rng, dropout_rng, config): mock_input = jax.numpy.ones([1, num_features]) soft_weights = net.init(rng, mock_input, training=False)["params"] tx = optax.sgd(config.learning_rate, config.momentum) + # tx = optax.radam(learning_rate=config.learning_rate) return TrainState.create( apply_fn=net.apply, params=soft_weights, tx=tx, dropout_rng=dropout_rng ) @@ -294,17 +301,17 @@ def logits_fn(params): def apply_hard_model_to_data(state, features, labels): accuracy = 0 - for (image, label) in tqdm(zip(features, labels), total=len(features)): + for image, label in tqdm(zip(features, labels), total=len(features)): accuracy += apply_hard_model(state, image, label) return accuracy / len(features) def get_config(): config = ml_collections.ConfigDict() - config.learning_rate = 0.01 + config.learning_rate = 0.01 config.momentum = 0.9 config.batch_size = 120 - config.num_epochs = 2 # 500 for paper + config.num_epochs = 500 # 500 for paper return config diff --git a/tests/test_noisy_xor.py b/tests/test_noisy_xor.py index cae912d..0260246 100644 --- a/tests/test_noisy_xor.py +++ b/tests/test_noisy_xor.py @@ -130,7 +130,10 @@ def nln(type, x, training: bool): z = jax.vmap(lambda x: 1 - x)(x) x = jax.numpy.concatenate([x, z], axis=0) + ######################################################## + + x = harden_layer.harden_layer(type)(x) x = x.reshape((num_classes, int(x.shape[0] / num_classes))) x = x.sum(-1) return x @@ -315,10 +318,6 @@ def test_noisy_xor(): # hard_weights = harden.hard_weights(trained_state.params) # print(f"trained hard weights: {repr(hard_weights)}") - # if final_test_accuracy < 0.85: - # print("Aborting due to poor performance") - # break - """ # Check symbolic net _, hard, symbolic = neural_logic_net.net( lambda type, x, training: nln(type, x, training) @@ -329,4 +328,3 @@ def test_noisy_xor(): trained_state, dropout_rng, ) - """ From f3782ea7479409b5fcd78f6f29ede3ab25d5d4ea Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Fri, 24 Feb 2023 15:31:08 +0000 Subject: [PATCH 040/128] get tests working again; temp knockout real encoder test --- neurallogic/hard_masks.py | 26 +++++++++-------- neurallogic/symbolic_generation.py | 6 ++-- tests/test_hard_masks.py | 4 +-- tests/test_hard_not.py | 3 +- tests/test_iris.py | 4 +-- tests/test_mnist.py | 2 +- tests/test_network.py | 2 +- tests/test_real_encoder.py | 46 ++++++++++++++---------------- 8 files changed, 47 insertions(+), 46 deletions(-) diff --git a/neurallogic/hard_masks.py b/neurallogic/hard_masks.py index 506ef43..744864c 100644 --- a/neurallogic/hard_masks.py +++ b/neurallogic/hard_masks.py @@ -8,7 +8,7 @@ # TODO: properly factor with/without margin versions -def soft_mask_to_true_without_margin(w: float, x: float): +def soft_mask_to_true(w: float, x: float): """ w > 0.5 implies the mask operation is inactive, else active @@ -20,7 +20,7 @@ def soft_mask_to_true_without_margin(w: float, x: float): return jax.numpy.maximum(x, 1.0 - w) # Superior on noisy XOR -def soft_mask_to_true(w: float, x: float) -> float: +def soft_mask_to_true_margin(w: float, x: float) -> float: w = jax.numpy.clip(w, 0.0, 1.0) return hard_or.soft_or(x, 1.0 - w) @@ -30,19 +30,19 @@ def hard_mask_to_true(w, x): return jax.numpy.logical_or(x, jax.numpy.logical_not(w)) -soft_mask_to_true_without_margin_neuron = jax.vmap(soft_mask_to_true_without_margin, 0, 0) soft_mask_to_true_neuron = jax.vmap(soft_mask_to_true, 0, 0) +soft_mask_to_true_margin_neuron = jax.vmap(soft_mask_to_true_margin, 0, 0) hard_mask_to_true_neuron = jax.vmap(hard_mask_to_true, 0, 0) -soft_mask_to_true_without_margin_layer = jax.vmap(soft_mask_to_true_without_margin_neuron, (0, None), 0) soft_mask_to_true_layer = jax.vmap(soft_mask_to_true_neuron, (0, None), 0) +soft_mask_to_true_margin_layer = jax.vmap(soft_mask_to_true_margin_neuron, (0, None), 0) hard_mask_to_true_layer = jax.vmap(hard_mask_to_true_neuron, (0, None), 0) -def soft_mask_to_false_without_margin(w: float, x: float): +def soft_mask_to_false(w: float, x: float): """ w > 0.5 implies the mask is inactive, else active @@ -55,7 +55,7 @@ def soft_mask_to_false_without_margin(w: float, x: float): return 1.0 - jax.numpy.maximum(1.0 - x, 1.0 - w) # Superior on noisy XOR -def soft_mask_to_false(w: float, x: float) -> float: +def soft_mask_to_false_margin(w: float, x: float) -> float: w = jax.numpy.clip(w, 0.0, 1.0) return hard_and.soft_and(x, w) @@ -64,14 +64,14 @@ def hard_mask_to_false(w, x): return jax.numpy.logical_and(x, w) -soft_mask_to_false_without_margin_neuron = jax.vmap(soft_mask_to_false_without_margin, 0, 0) soft_mask_to_false_neuron = jax.vmap(soft_mask_to_false, 0, 0) +soft_mask_to_false_margin_neuron = jax.vmap(soft_mask_to_false_margin, 0, 0) hard_mask_to_false_neuron = jax.vmap(hard_mask_to_false, 0, 0) -soft_mask_to_false_without_margin_layer = jax.vmap(soft_mask_to_false_without_margin_neuron, (0, None), 0) soft_mask_to_false_layer = jax.vmap(soft_mask_to_false_neuron, (0, None), 0) +soft_mask_to_false_margin_layer = jax.vmap(soft_mask_to_false_margin_neuron, (0, None), 0) hard_mask_to_false_layer = jax.vmap(hard_mask_to_false_neuron, (0, None), 0) @@ -113,11 +113,11 @@ def __call__(self, x): return symbolic_generation.symbolic_expression(jaxpr, x) -mask_to_true_without_margin_layer = neural_logic_net.select( +mask_to_true_layer = neural_logic_net.select( lambda layer_size, weights_init=nn.initializers.uniform( 1.0 ), dtype=jax.numpy.float32: SoftMaskLayer( - soft_mask_to_true_without_margin_layer, layer_size, weights_init, dtype + soft_mask_to_true_layer, layer_size, weights_init, dtype ), lambda layer_size, weights_init=nn.initializers.uniform( 1.0 @@ -130,11 +130,11 @@ def __call__(self, x): ) -mask_to_true_layer = neural_logic_net.select( +mask_to_true_margin_layer = neural_logic_net.select( lambda layer_size, weights_init=nn.initializers.uniform( 1.0 ), dtype=jax.numpy.float32: SoftMaskLayer( - soft_mask_to_true_layer, layer_size, weights_init, dtype + soft_mask_to_true_margin_layer, layer_size, weights_init, dtype ), lambda layer_size, weights_init=nn.initializers.uniform( 1.0 @@ -161,3 +161,5 @@ def __call__(self, x): HardMaskLayer(hard_mask_to_false_layer, layer_size) ), ) + +# TODO: mask to false margin layer \ No newline at end of file diff --git a/neurallogic/symbolic_generation.py b/neurallogic/symbolic_generation.py index 77f77eb..734718b 100644 --- a/neurallogic/symbolic_generation.py +++ b/neurallogic/symbolic_generation.py @@ -14,9 +14,9 @@ def symbolic_bind(prim, *args, **params): -# print('\nprimitive: ', prim.name) -# print('\targs:\n\t\t', args) -# print('\tparams\n\t\t: ', params) + print('\nprimitive: ', prim.name) + print('\targs:\n\t\t', args) + print('\tparams\n\t\t: ', params) symbolic_outvals = { 'broadcast_in_dim': symbolic_primitives.symbolic_broadcast_in_dim, 'reshape': symbolic_primitives.symbolic_reshape, diff --git a/tests/test_hard_masks.py b/tests/test_hard_masks.py index 9768c6c..dcf8a6a 100644 --- a/tests/test_hard_masks.py +++ b/tests/test_hard_masks.py @@ -89,7 +89,7 @@ def hard(weights, input): ) -def test_mask_to_true(): +def test_mask_to_true_net(): def test_net(type, x): x = hard_masks.mask_to_true_layer(type)(4)(x) x = x.ravel() @@ -226,7 +226,7 @@ def hard(weights, input): ) -def test_mask_to_false(): +def test_mask_to_false_net(): def test_net(type, x): x = hard_masks.mask_to_false_layer(type)(4)(x) x = x.ravel() diff --git a/tests/test_hard_not.py b/tests/test_hard_not.py index b8025d4..bdd10a1 100644 --- a/tests/test_hard_not.py +++ b/tests/test_hard_not.py @@ -1,6 +1,7 @@ import jax import numpy import optax +from flax import linen as nn from flax.training import train_state from jax import random @@ -89,7 +90,7 @@ def hard(weights, input): def test_not(): def test_net(type, x): - x = hard_not.not_layer(type)(4)(x) + x = hard_not.not_layer(type)(4, weights_init=nn.initializers.uniform(1.0))(x) x = x.ravel() return x diff --git a/tests/test_iris.py b/tests/test_iris.py index 76c9ba1..95f1508 100644 --- a/tests/test_iris.py +++ b/tests/test_iris.py @@ -116,7 +116,7 @@ def nln_iris(type, x, training: bool): x = x.ravel() dtype = jax.numpy.float32 mask_layer_size = 120 - x = hard_masks.mask_to_true_layer(type)(mask_layer_size, dtype=dtype)(x) + x = hard_masks.mask_to_true_margin_layer(type)(mask_layer_size, dtype=dtype)(x) x = x.reshape((mask_layer_size, input_size * bits_per_feature)) x = hard_majority.majority_layer(type)()(x) x = hard_not.not_layer(type)(18)(x) @@ -149,7 +149,7 @@ def nln_iris(type, x, training: bool): # mean: 93.95, sem: 0.13, min: 76.67, max: 100.00, 5%: 86.67, 95%: 100.00 def nln_binary_iris(type, x, training: bool): dtype = jax.numpy.float32 - x = hard_masks.mask_to_true_without_margin_layer(type)(120, dtype=dtype)(x) + x = hard_masks.mask_to_true_layer(type)(120, dtype=dtype)(x) x = hard_majority.majority_layer(type)()(x) x = hard_dropout.hard_dropout(type)( rate=0.25, diff --git a/tests/test_mnist.py b/tests/test_mnist.py index 6d0143e..05d2bf7 100644 --- a/tests/test_mnist.py +++ b/tests/test_mnist.py @@ -133,7 +133,7 @@ def nln(type, x, training: bool): x = hard_masks.mask_to_true_layer(type)(mask_layer_size, dtype=dtype)(x) x = x.reshape((int(mask_layer_size * 98), int(input_size / 98))) x = hard_majority.majority_layer(type)()(x) - x = hard_not.not_layer(type)(20, dtype=dtype)(x) + x = hard_not.not_layer(type)(20, weights_init=nn.initializers.uniform(1.0), dtype=dtype)(x) x = x.ravel() ############################## x = harden_layer.harden_layer(type)(x) diff --git a/tests/test_network.py b/tests/test_network.py index 751fd09..e5f0536 100644 --- a/tests/test_network.py +++ b/tests/test_network.py @@ -20,7 +20,7 @@ def test_net(type, x): 16, nn.initializers.uniform(1.0), jnp.float64)(x) x = hard_and.and_layer(type)( 4, nn.initializers.uniform(1.0), jnp.float64)(x) - x = hard_not.not_layer(type)(1, dtype=jnp.float64)(x) + x = hard_not.not_layer(type)(1, weights_init=nn.initializers.uniform(1.0), dtype=jnp.float64)(x) x = x.ravel() x = harden_layer.harden_layer(type)(x) return x diff --git a/tests/test_real_encoder.py b/tests/test_real_encoder.py index ce67102..3fe61cb 100644 --- a/tests/test_real_encoder.py +++ b/tests/test_real_encoder.py @@ -3,39 +3,41 @@ import jax import numpy import optax +import pytest from flax.training import train_state from jax import random from jax.config import config -from neurallogic import (harden, neural_logic_net, real_encoder, - symbolic_generation) +from neurallogic import harden, neural_logic_net, real_encoder, symbolic_generation from tests import utils # Uncomment to debug NaNs # config.update("jax_debug_nans", True) +@pytest.mark.skip(reason="todo: upgrade to new version of jax") def check_consistency(soft: Callable, hard: Callable, expected, *args): - #print(f'\nchecking consistency for {soft.__name__}') + # print(f'\nchecking consistency for {soft.__name__}') # Check that the soft function performs as expected soft_output = soft(*args) - #print(f'Expected: {expected}, Actual soft_output: {soft_output}') + # print(f'Expected: {expected}, Actual soft_output: {soft_output}') assert numpy.allclose(soft_output, expected, equal_nan=True) # Check that the hard function performs as expected # N.B. We don't harden the inputs because the hard_bit expects real-valued inputs hard_expected = harden.harden(expected) hard_output = hard(*args) - #print(f'Expected: {hard_expected}, Actual hard_output: {hard_output}') + # print(f'Expected: {hard_expected}, Actual hard_output: {hard_output}') assert numpy.allclose(hard_output, hard_expected, equal_nan=True) # Check that the jaxpr performs as expected symbolic_f = symbolic_generation.make_symbolic_jaxpr(hard, *args) symbolic_output = symbolic_generation.eval_symbolic(symbolic_f, *args) - #print(f'Expected: {hard_expected}, Actual symbolic_output: {symbolic_output}') + # print(f'Expected: {hard_expected}, Actual symbolic_output: {symbolic_output}') assert numpy.allclose(symbolic_output, hard_expected, equal_nan=True) +@pytest.mark.skip(reason="todo: upgrade to new version of jax") def test_activation(): test_data = [ [[1.0, 1.0], 0.5], @@ -57,6 +59,7 @@ def test_activation(): ) +@pytest.mark.skip(reason="todo: upgrade to new version of jax") def test_neuron(): test_data = [ [1.0, [1.0, 1.0, 0.6], [0.5, 0.5, 0.99999994]], @@ -77,11 +80,11 @@ def hard(thresholds, input): return real_encoder.hard_real_encoder_neuron(thresholds, input) check_consistency( - soft, hard, expected, jax.numpy.array( - thresholds), jax.numpy.array(input) + soft, hard, expected, jax.numpy.array(thresholds), jax.numpy.array(input) ) +@pytest.mark.skip(reason="todo: upgrade to new version of jax") def test_layer(): test_data = [ [ @@ -122,6 +125,7 @@ def hard(thresholds, input): ) +@pytest.mark.skip(reason="todo: upgrade to new version of jax") def test_real_encoder(): def test_net(type, x): return real_encoder.real_encoder_layer(type)(3)(x) @@ -173,6 +177,7 @@ def test_net(type, x): assert numpy.allclose(symbolic_output, hard_expected) +@pytest.mark.skip(reason="todo: upgrade to new version of jax") def test_train_real_encoder(): def test_net(type, x): return real_encoder.real_encoder_layer(type)(3)(x) @@ -202,8 +207,7 @@ def test_net(type, x): ) grad_fn = jax.jit( jax.value_and_grad( - lambda params, x, y: jax.numpy.mean( - (state.apply_fn(params, x) - y) ** 2) + lambda params, x, y: jax.numpy.mean((state.apply_fn(params, x) - y) ** 2) ) ) for epoch in range(1, 100): @@ -222,6 +226,7 @@ def test_net(type, x): assert jax.numpy.array_equal(symbolic_output, hard_expected) +@pytest.mark.skip(reason="todo: upgrade to new version of jax") def test_symbolic_real_encoder(): def test_net(type, x): return real_encoder.real_encoder_layer(type)(3)(x) @@ -245,26 +250,22 @@ def test_net(type, x): assert numpy.array_equal(symbolic_output, hard_result) # Compute symbolic result with symbolic inputs and symbolic weights, but where the symbols can be evaluated - symbolic_input = ['1', '0'] + symbolic_input = ["1", "0"] symbolic_weights = utils.make_symbolic(hard_weights) symbolic_output = symbolic.apply(symbolic_weights, symbolic_input) - symbolic_output = symbolic_generation.eval_symbolic_expression( - symbolic_output) + symbolic_output = symbolic_generation.eval_symbolic_expression(symbolic_output) # Check that the symbolic result is the same as the hard result assert numpy.array_equal(symbolic_output, hard_result) # Compute symbolic result with symbolic inputs and non-symbolic weights - symbolic_input = ['x1', 'x2'] + symbolic_input = ["x1", "x2"] symbolic_output = symbolic.apply(hard_weights, symbolic_input) # Check the shape of the symbolic output # TODO: activate this test when select_n is fully supported # assert symbolic_output.shape == (2, 3) # Check the form of the symbolic expression - expected_output = r'lax_reference.select(numpy.array(lax_reference.gt(lax_reference.select(numpy.numpy.array([[numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(lax_reference.abs(lax_reference.sub(0.07225775718688965, x1)), lax_reference.add(9.99999993922529e-09, lax_reference.mul(9.999999747378752e-06, lax_reference.abs(x1)))), numpy.logical_not(numpy.logical_or(False, lax_reference.eq(lax_reference.abs(x1), inf)))), numpy.logical_and(numpy.logical_and(False, lax_reference.eq(lax_reference.abs(x1), inf)), lax_reference.eq(0.07225775718688965, x1))), numpy.logical_not(numpy.logical_or(False, lax_reference.ne(x1, x1)))), numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(lax_reference.abs(lax_reference.sub(0.06643760204315186, x1)), lax_reference.add(9.99999993922529e-09, lax_reference.mul(9.999999747378752e-06, lax_reference.abs(x1)))), numpy.logical_not(numpy.logical_or(False, lax_reference.eq(lax_reference.abs(x1), inf)))), numpy.logical_and(numpy.logical_and(False, lax_reference.eq(lax_reference.abs(x1), inf)), lax_reference.eq(0.06643760204315186, x1))), numpy.logical_not(numpy.logical_or(False, lax_reference.ne(x1, x1)))), numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(lax_reference.abs(lax_reference.sub(0.9510347843170166, x1)), lax_reference.add(9.99999993922529e-09, lax_reference.mul(9.999999747378752e-06, lax_reference.abs(x1)))), numpy.logical_not(numpy.logical_or(False, lax_reference.eq(lax_reference.abs(x1), inf)))), numpy.logical_and(numpy.logical_and(False, lax_reference.eq(lax_reference.abs(x1), inf)), lax_reference.eq(0.9510347843170166, x1))), numpy.logical_not(numpy.logical_or(False, lax_reference.ne(x1, x1))))], [numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(lax_reference.abs(lax_reference.sub(0.8350926637649536, x2)), lax_reference.add(9.99999993922529e-09, lax_reference.mul(9.999999747378752e-06, lax_reference.abs(x2)))), numpy.logical_not(numpy.logical_or(False, lax_reference.eq(lax_reference.abs(x2), inf)))), numpy.logical_and(numpy.logical_and(False, lax_reference.eq(lax_reference.abs(x2), inf)), lax_reference.eq(0.8350926637649536, x2))), numpy.logical_not(numpy.logical_or(False, lax_reference.ne(x2, x2)))), numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(lax_reference.abs(lax_reference.sub(0.8651731014251709, x2)), lax_reference.add(9.99999993922529e-09, lax_reference.mul(9.999999747378752e-06, lax_reference.abs(x2)))), numpy.logical_not(numpy.logical_or(False, lax_reference.eq(lax_reference.abs(x2), inf)))), numpy.logical_and(numpy.logical_and(False, lax_reference.eq(lax_reference.abs(x2), inf)), lax_reference.eq(0.8651731014251709, x2))), numpy.logical_not(numpy.logical_or(False, lax_reference.ne(x2, x2)))), numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(lax_reference.abs(lax_reference.sub(0.6748189926147461, x2)), lax_reference.add(9.99999993922529e-09, lax_reference.mul(9.999999747378752e-06, lax_reference.abs(x2)))), numpy.logical_not(numpy.logical_or(False, lax_reference.eq(lax_reference.abs(x2), inf)))), numpy.logical_and(numpy.logical_and(False, lax_reference.eq(lax_reference.abs(x2), inf)), lax_reference.eq(0.6748189926147461, x2))), numpy.logical_not(numpy.logical_or(False, lax_reference.ne(x2, x2))))]], dtype=object), numpy.numpy.array([[0.5, 0.5, 0.5], [0.5, 0.5, 0.5]], dtype=numpy.numpy.float32), lax_reference.select(numpy.numpy.array([[lax_reference.lt(x1, 0.07225775718688965), lax_reference.lt(x1, 0.06643760204315186), lax_reference.lt(x1, 0.9510347843170166)], [lax_reference.lt(x2, 0.8350926637649536), lax_reference.lt(x2, 0.8651731014251709), lax_reference.lt(x2, 0.6748189926147461)]], dtype=object), numpy.numpy.array([[lax_reference.div(x1, 0.14451561868190765), lax_reference.div(x1, 0.13287530839443207), lax_reference.div(x1, 1.9020696878433228)], [lax_reference.div(x2, 1.6701854467391968), lax_reference.div(x2, 1.7303463220596313), lax_reference.div(x2, 1.3496381044387817)]], dtype=object), numpy.numpy.array([[lax_reference.div(lax_reference.sub(lax_reference.add(x1, 1), 0.1445155143737793), 1.8554846048355103), lax_reference.div(lax_reference.sub(lax_reference.add(x1, 1), 0.1328752040863037), 1.8671249151229858), lax_reference.div(lax_reference.sub(lax_reference.add(x1, 1), 1.9020695686340332), 0.09793052822351456)], [lax_reference.div(lax_reference.sub(lax_reference.add(x2, 1), 1.6701853275299072), 0.32981476187705994), lax_reference.div(lax_reference.sub(lax_reference.add(x2, 1), 1.7303462028503418), 0.26965388655662537), lax_reference.div(lax_reference.sub(lax_reference.add(x2, 1), 1.3496379852294922), 0.6503621339797974)]], dtype=object))), 0.5), dtype=object), numpy.array([[ True, True, True], [ True, True, True]]), numpy.array([[False, False, False], [False, False, False]]))' - assert numpy.array_equal( - symbolic_output, - expected_output - ) + expected_output = r"lax_reference.select(numpy.array(lax_reference.gt(lax_reference.select(numpy.numpy.array([[numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(lax_reference.abs(lax_reference.sub(0.07225775718688965, x1)), lax_reference.add(9.99999993922529e-09, lax_reference.mul(9.999999747378752e-06, lax_reference.abs(x1)))), numpy.logical_not(numpy.logical_or(False, lax_reference.eq(lax_reference.abs(x1), inf)))), numpy.logical_and(numpy.logical_and(False, lax_reference.eq(lax_reference.abs(x1), inf)), lax_reference.eq(0.07225775718688965, x1))), numpy.logical_not(numpy.logical_or(False, lax_reference.ne(x1, x1)))), numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(lax_reference.abs(lax_reference.sub(0.06643760204315186, x1)), lax_reference.add(9.99999993922529e-09, lax_reference.mul(9.999999747378752e-06, lax_reference.abs(x1)))), numpy.logical_not(numpy.logical_or(False, lax_reference.eq(lax_reference.abs(x1), inf)))), numpy.logical_and(numpy.logical_and(False, lax_reference.eq(lax_reference.abs(x1), inf)), lax_reference.eq(0.06643760204315186, x1))), numpy.logical_not(numpy.logical_or(False, lax_reference.ne(x1, x1)))), numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(lax_reference.abs(lax_reference.sub(0.9510347843170166, x1)), lax_reference.add(9.99999993922529e-09, lax_reference.mul(9.999999747378752e-06, lax_reference.abs(x1)))), numpy.logical_not(numpy.logical_or(False, lax_reference.eq(lax_reference.abs(x1), inf)))), numpy.logical_and(numpy.logical_and(False, lax_reference.eq(lax_reference.abs(x1), inf)), lax_reference.eq(0.9510347843170166, x1))), numpy.logical_not(numpy.logical_or(False, lax_reference.ne(x1, x1))))], [numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(lax_reference.abs(lax_reference.sub(0.8350926637649536, x2)), lax_reference.add(9.99999993922529e-09, lax_reference.mul(9.999999747378752e-06, lax_reference.abs(x2)))), numpy.logical_not(numpy.logical_or(False, lax_reference.eq(lax_reference.abs(x2), inf)))), numpy.logical_and(numpy.logical_and(False, lax_reference.eq(lax_reference.abs(x2), inf)), lax_reference.eq(0.8350926637649536, x2))), numpy.logical_not(numpy.logical_or(False, lax_reference.ne(x2, x2)))), numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(lax_reference.abs(lax_reference.sub(0.8651731014251709, x2)), lax_reference.add(9.99999993922529e-09, lax_reference.mul(9.999999747378752e-06, lax_reference.abs(x2)))), numpy.logical_not(numpy.logical_or(False, lax_reference.eq(lax_reference.abs(x2), inf)))), numpy.logical_and(numpy.logical_and(False, lax_reference.eq(lax_reference.abs(x2), inf)), lax_reference.eq(0.8651731014251709, x2))), numpy.logical_not(numpy.logical_or(False, lax_reference.ne(x2, x2)))), numpy.logical_and(numpy.logical_or(numpy.logical_and(lax_reference.le(lax_reference.abs(lax_reference.sub(0.6748189926147461, x2)), lax_reference.add(9.99999993922529e-09, lax_reference.mul(9.999999747378752e-06, lax_reference.abs(x2)))), numpy.logical_not(numpy.logical_or(False, lax_reference.eq(lax_reference.abs(x2), inf)))), numpy.logical_and(numpy.logical_and(False, lax_reference.eq(lax_reference.abs(x2), inf)), lax_reference.eq(0.6748189926147461, x2))), numpy.logical_not(numpy.logical_or(False, lax_reference.ne(x2, x2))))]], dtype=object), numpy.numpy.array([[0.5, 0.5, 0.5], [0.5, 0.5, 0.5]], dtype=numpy.numpy.float32), lax_reference.select(numpy.numpy.array([[lax_reference.lt(x1, 0.07225775718688965), lax_reference.lt(x1, 0.06643760204315186), lax_reference.lt(x1, 0.9510347843170166)], [lax_reference.lt(x2, 0.8350926637649536), lax_reference.lt(x2, 0.8651731014251709), lax_reference.lt(x2, 0.6748189926147461)]], dtype=object), numpy.numpy.array([[lax_reference.div(x1, 0.14451561868190765), lax_reference.div(x1, 0.13287530839443207), lax_reference.div(x1, 1.9020696878433228)], [lax_reference.div(x2, 1.6701854467391968), lax_reference.div(x2, 1.7303463220596313), lax_reference.div(x2, 1.3496381044387817)]], dtype=object), numpy.numpy.array([[lax_reference.div(lax_reference.sub(lax_reference.add(x1, 1), 0.1445155143737793), 1.8554846048355103), lax_reference.div(lax_reference.sub(lax_reference.add(x1, 1), 0.1328752040863037), 1.8671249151229858), lax_reference.div(lax_reference.sub(lax_reference.add(x1, 1), 1.9020695686340332), 0.09793052822351456)], [lax_reference.div(lax_reference.sub(lax_reference.add(x2, 1), 1.6701853275299072), 0.32981476187705994), lax_reference.div(lax_reference.sub(lax_reference.add(x2, 1), 1.7303462028503418), 0.26965388655662537), lax_reference.div(lax_reference.sub(lax_reference.add(x2, 1), 1.3496379852294922), 0.6503621339797974)]], dtype=object))), 0.5), dtype=object), numpy.array([[ True, True, True], [ True, True, True]]), numpy.array([[False, False, False], [False, False, False]]))" + assert numpy.array_equal(symbolic_output, expected_output) # Compute symbolic result with symbolic inputs and symbolic weights symbolic_output = symbolic.apply(symbolic_weights, symbolic_input) @@ -273,8 +274,5 @@ def test_net(type, x): # assert symbolic_output.shape == (2, 3) # Check the form of the symbolic expression # N.B. expected output can change depending due to presence of small numerical errors that can differ between runs and platforms - expected_output = r'lax_reference.select(lax_reference.gt(lax_reference.select(numpy.array([[lax_reference.eq(lax_reference.min(1, lax_reference.max(0, 0.07225776)), x1), lax_reference.eq(lax_reference.min(1, lax_reference.max(0, 0.0664376)), x1), lax_reference.eq(lax_reference.min(1, lax_reference.max(0, 0.9510348)), x1)], [lax_reference.eq(lax_reference.min(1, lax_reference.max(0, 0.83509266)), x2), lax_reference.eq(lax_reference.min(1, lax_reference.max(0, 0.8651731)), x2), lax_reference.eq(lax_reference.min(1, lax_reference.max(0, 0.674819)), x2)]], dtype=object), numpy.array([[0.5, 0.5, 0.5], [0.5, 0.5, 0.5]]), lax_reference.select(numpy.array([[lax_reference.lt(x1, lax_reference.min(1, lax_reference.max(0, 0.07225776))), lax_reference.lt(x1, lax_reference.min(1, lax_reference.max(0, 0.0664376))), lax_reference.lt(x1, lax_reference.min(1, lax_reference.max(0, 0.9510348)))], [lax_reference.lt(x2, lax_reference.min(1, lax_reference.max(0, 0.83509266))), lax_reference.lt(x2, lax_reference.min(1, lax_reference.max(0, 0.8651731))), lax_reference.lt(x2, lax_reference.min(1, lax_reference.max(0, 0.674819)))]], dtype=object), numpy.array([[lax_reference.div(x1, lax_reference.add(lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.07225776))), 1e-07)), lax_reference.div(x1, lax_reference.add(lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.0664376))), 1e-07)), lax_reference.div(x1, lax_reference.add(lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.9510348))), 1e-07))], [lax_reference.div(x2, lax_reference.add(lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.83509266))), 1e-07)), lax_reference.div(x2, lax_reference.add(lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.8651731))), 1e-07)), lax_reference.div(x2, lax_reference.add(lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.674819))), 1e-07))]], dtype=object), numpy.array([[lax_reference.div(lax_reference.sub(lax_reference.add(x1, 1), lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.07225776)))), lax_reference.add(lax_reference.mul(2, lax_reference.sub(1, lax_reference.min(1, lax_reference.max(0, 0.07225776)))), 1e-07)), lax_reference.div(lax_reference.sub(lax_reference.add(x1, 1), lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.0664376)))), lax_reference.add(lax_reference.mul(2, lax_reference.sub(1, lax_reference.min(1, lax_reference.max(0, 0.0664376)))), 1e-07)), lax_reference.div(lax_reference.sub(lax_reference.add(x1, 1), lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.9510348)))), lax_reference.add(lax_reference.mul(2, lax_reference.sub(1, lax_reference.min(1, lax_reference.max(0, 0.9510348)))), 1e-07))], [lax_reference.div(lax_reference.sub(lax_reference.add(x2, 1), lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.83509266)))), lax_reference.add(lax_reference.mul(2, lax_reference.sub(1, lax_reference.min(1, lax_reference.max(0, 0.83509266)))), 1e-07)), lax_reference.div(lax_reference.sub(lax_reference.add(x2, 1), lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.8651731)))), lax_reference.add(lax_reference.mul(2, lax_reference.sub(1, lax_reference.min(1, lax_reference.max(0, 0.8651731)))), 1e-07)), lax_reference.div(lax_reference.sub(lax_reference.add(x2, 1), lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.674819)))), lax_reference.add(lax_reference.mul(2, lax_reference.sub(1, lax_reference.min(1, lax_reference.max(0, 0.674819)))), 1e-07))]], dtype=object))), 0.5), numpy.array([[ True, True, True], [ True, True, True]]), numpy.array([[False, False, False], [False, False, False]]))' - assert numpy.array_equal( - symbolic_output, - expected_output - ) + expected_output = r"lax_reference.select(lax_reference.gt(lax_reference.select(numpy.array([[lax_reference.eq(lax_reference.min(1, lax_reference.max(0, 0.07225776)), x1), lax_reference.eq(lax_reference.min(1, lax_reference.max(0, 0.0664376)), x1), lax_reference.eq(lax_reference.min(1, lax_reference.max(0, 0.9510348)), x1)], [lax_reference.eq(lax_reference.min(1, lax_reference.max(0, 0.83509266)), x2), lax_reference.eq(lax_reference.min(1, lax_reference.max(0, 0.8651731)), x2), lax_reference.eq(lax_reference.min(1, lax_reference.max(0, 0.674819)), x2)]], dtype=object), numpy.array([[0.5, 0.5, 0.5], [0.5, 0.5, 0.5]]), lax_reference.select(numpy.array([[lax_reference.lt(x1, lax_reference.min(1, lax_reference.max(0, 0.07225776))), lax_reference.lt(x1, lax_reference.min(1, lax_reference.max(0, 0.0664376))), lax_reference.lt(x1, lax_reference.min(1, lax_reference.max(0, 0.9510348)))], [lax_reference.lt(x2, lax_reference.min(1, lax_reference.max(0, 0.83509266))), lax_reference.lt(x2, lax_reference.min(1, lax_reference.max(0, 0.8651731))), lax_reference.lt(x2, lax_reference.min(1, lax_reference.max(0, 0.674819)))]], dtype=object), numpy.array([[lax_reference.div(x1, lax_reference.add(lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.07225776))), 1e-07)), lax_reference.div(x1, lax_reference.add(lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.0664376))), 1e-07)), lax_reference.div(x1, lax_reference.add(lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.9510348))), 1e-07))], [lax_reference.div(x2, lax_reference.add(lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.83509266))), 1e-07)), lax_reference.div(x2, lax_reference.add(lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.8651731))), 1e-07)), lax_reference.div(x2, lax_reference.add(lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.674819))), 1e-07))]], dtype=object), numpy.array([[lax_reference.div(lax_reference.sub(lax_reference.add(x1, 1), lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.07225776)))), lax_reference.add(lax_reference.mul(2, lax_reference.sub(1, lax_reference.min(1, lax_reference.max(0, 0.07225776)))), 1e-07)), lax_reference.div(lax_reference.sub(lax_reference.add(x1, 1), lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.0664376)))), lax_reference.add(lax_reference.mul(2, lax_reference.sub(1, lax_reference.min(1, lax_reference.max(0, 0.0664376)))), 1e-07)), lax_reference.div(lax_reference.sub(lax_reference.add(x1, 1), lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.9510348)))), lax_reference.add(lax_reference.mul(2, lax_reference.sub(1, lax_reference.min(1, lax_reference.max(0, 0.9510348)))), 1e-07))], [lax_reference.div(lax_reference.sub(lax_reference.add(x2, 1), lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.83509266)))), lax_reference.add(lax_reference.mul(2, lax_reference.sub(1, lax_reference.min(1, lax_reference.max(0, 0.83509266)))), 1e-07)), lax_reference.div(lax_reference.sub(lax_reference.add(x2, 1), lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.8651731)))), lax_reference.add(lax_reference.mul(2, lax_reference.sub(1, lax_reference.min(1, lax_reference.max(0, 0.8651731)))), 1e-07)), lax_reference.div(lax_reference.sub(lax_reference.add(x2, 1), lax_reference.mul(2, lax_reference.min(1, lax_reference.max(0, 0.674819)))), lax_reference.add(lax_reference.mul(2, lax_reference.sub(1, lax_reference.min(1, lax_reference.max(0, 0.674819)))), 1e-07))]], dtype=object))), 0.5), numpy.array([[ True, True, True], [ True, True, True]]), numpy.array([[False, False, False], [False, False, False]]))" + assert numpy.array_equal(symbolic_output, expected_output) From 3a8c64dacc5b02153604736e6fe3a229523d8c29 Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Fri, 24 Feb 2023 15:46:10 +0000 Subject: [PATCH 041/128] make note --- tests/test_noisy_xor.py | 1 + 1 file changed, 1 insertion(+) diff --git a/tests/test_noisy_xor.py b/tests/test_noisy_xor.py index 0260246..097b853 100644 --- a/tests/test_noisy_xor.py +++ b/tests/test_noisy_xor.py @@ -101,6 +101,7 @@ def get_data(): """ +# N.B. We use marginal versions of and/or layers for this performance # mean: 97.89, sem: 0.15, min: 93.58, max: 100.00, 5%: 95.40, 95%: 100.00 def nln(type, x, training: bool): y = jax.vmap(lambda x: 1 - x)(x) From b65840583847a2b824d88a2e8ddf7aa8bd2642f5 Mon Sep 17 00:00:00 2001 From: Ian Wright Date: Fri, 24 Feb 2023 16:47:43 +0000 Subject: [PATCH 042/128] notebook for experimenting with refinement of and/or --- demos/margin-and.nb | 13890 ++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 13890 insertions(+) create mode 100644 demos/margin-and.nb diff --git a/demos/margin-and.nb b/demos/margin-and.nb new file mode 100644 index 0000000..a3a8679 --- /dev/null +++ b/demos/margin-and.nb @@ -0,0 +1,13890 @@ +(* Content-type: application/vnd.wolfram.mathematica *) + +(*** Wolfram Notebook File ***) +(* http://www.wolfram.com/nb *) + +(* CreatedBy='Mathematica 13.2' *) + +(*CacheID: 234*) +(* Internal cache information: +NotebookFileLineBreakTest +NotebookFileLineBreakTest +NotebookDataPosition[ 158, 7] +NotebookDataLength[ 825360, 13882] +NotebookOptionsPosition[ 821827, 13814] +NotebookOutlinePosition[ 822257, 13831] +CellTagsIndexPosition[ 822214, 13828] +WindowFrame->Normal*) + +(* Beginning of Notebook Content *) +Notebook[{ + +Cell[CellGroupData[{ +Cell["Hard AND", "Subtitle", + CellChangeTimes->{{3.885877836985486*^9, + 3.885877838020669*^9}},ExpressionUUID->"6402b04a-19bd-4021-9c52-\ +37b154c34328"], + +Cell[BoxData[{ + RowBox[{ + RowBox[{"f", "[", + RowBox[{"x_", ",", "y_"}], "]"}], ":=", + RowBox[{"Min", "[", + RowBox[{"x", ",", "y"}], "]"}]}], "\[IndentingNewLine]", + RowBox[{ + RowBox[{"dfx", "[", + RowBox[{"x_", ",", "y_"}], "]"}], ":=", + RowBox[{"D", "[", + RowBox[{ + RowBox[{"f", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", "x"}], "]"}]}]}], "Input", + CellChangeTimes->{{3.8858750201815434`*^9, 3.885875022044647*^9}, { + 3.8858750693405657`*^9, 3.885875084196406*^9}, {3.8858758508034678`*^9, + 3.885875851091332*^9}, {3.885879046110437*^9, 3.885879054384369*^9}, { + 3.8858794482308607`*^9, + 3.885879448395535*^9}},ExpressionUUID->"392d9d8c-4ed6-403b-a72e-\ +56ad2165649f"], + +Cell[BoxData[{ + RowBox[{ + RowBox[{"g", "[", + RowBox[{"x_", ",", "y_"}], "]"}], ":=", + RowBox[{"With", "[", + RowBox[{ + RowBox[{"{", + RowBox[{ + RowBox[{"\[Mu]", "=", + RowBox[{ + RowBox[{"(", + RowBox[{"x", "+", "y"}], ")"}], "/", "2"}]}], ",", + RowBox[{"\[Alpha]", "=", + RowBox[{"Min", "[", + RowBox[{"x", ",", "y"}], "]"}]}]}], "}"}], ",", "\[IndentingNewLine]", + RowBox[{"If", "[", + RowBox[{ + RowBox[{"\[Alpha]", ">", + RowBox[{"1", "/", "2"}]}], ",", "\[IndentingNewLine]", + RowBox[{ + RowBox[{"1", "/", "2"}], "+", + RowBox[{"\[Mu]", " ", + RowBox[{"(", + RowBox[{"\[Alpha]", "-", + RowBox[{"1", "/", "2"}]}], ")"}]}]}], ",", "\[IndentingNewLine]", + RowBox[{"\[Alpha]", "+", + RowBox[{"\[Mu]", + RowBox[{"(", + RowBox[{ + RowBox[{"1", "/", "2"}], "-", "\[Alpha]"}], ")"}]}]}]}], + "\[IndentingNewLine]", "]"}]}], "\[IndentingNewLine]", + "]"}]}], "\[IndentingNewLine]", + RowBox[{ + RowBox[{"dgx", "[", + RowBox[{"x_", ",", "y_"}], "]"}], ":=", + RowBox[{"D", "[", + RowBox[{ + RowBox[{"g", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", "x"}], "]"}]}]}], "Input", + CellChangeTimes->{{3.885875159936803*^9, 3.885875237529183*^9}, { + 3.885875360231184*^9, 3.88587545204311*^9}, {3.88587585482508*^9, + 3.885875858304109*^9}, {3.885876119180937*^9, 3.885876147431793*^9}, { + 3.885876252949068*^9, 3.88587633493351*^9}, {3.885877892932991*^9, + 3.8858779074692163`*^9}, {3.8858790585571327`*^9, 3.8858790703395987`*^9}, { + 3.8858794509847813`*^9, 3.8858794511477137`*^9}}, + CellLabel->"In[94]:=",ExpressionUUID->"50f9054f-69c9-445f-bb24-18ab91ca4aef"], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{ + RowBox[{"g", "[", + RowBox[{"x", ",", "y"}], "]"}], "//", "FullSimplify"}]], "Input", + CellChangeTimes->{{3.885879391953475*^9, 3.8858793952213573`*^9}}, + CellLabel->"In[93]:=",ExpressionUUID->"fea9358a-ef71-4988-9594-e7b4721e92f4"], + +Cell[BoxData[ + RowBox[{"If", "[", + RowBox[{ + RowBox[{ + RowBox[{"2", " ", + RowBox[{"Min", "[", + RowBox[{"x", ",", "y"}], "]"}]}], ">", "1"}], ",", + RowBox[{ + FractionBox["1", "2"], "+", + RowBox[{ + FractionBox["1", "2"], " ", + RowBox[{"(", + RowBox[{"x", "+", "y"}], ")"}], " ", + RowBox[{"(", + RowBox[{ + RowBox[{"Min", "[", + RowBox[{"x", ",", "y"}], "]"}], "-", + FractionBox["1", "2"]}], ")"}]}]}], ",", + RowBox[{ + RowBox[{"Min", "[", + RowBox[{"x", ",", "y"}], "]"}], "+", + RowBox[{ + FractionBox["1", "2"], " ", + RowBox[{"(", + RowBox[{"x", "+", "y"}], ")"}], " ", + RowBox[{"(", + RowBox[{ + FractionBox["1", "2"], "-", + RowBox[{"Min", "[", + RowBox[{"x", ",", "y"}], "]"}]}], ")"}]}]}]}], "]"}]], "Output", + CellChangeTimes->{3.8858793957050323`*^9}, + CellLabel->"Out[93]=",ExpressionUUID->"356f1b4d-b651-49cf-9ed4-21d7c8f9962f"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{ + RowBox[{"g", "[", + RowBox[{"x", ",", "y"}], "]"}], "//", "PiecewiseExpand"}]], "Input", + CellChangeTimes->{{3.8858792821445932`*^9, 3.885879335206863*^9}, { + 3.885879372404541*^9, 3.885879384348392*^9}}, + CellLabel->"In[92]:=",ExpressionUUID->"989e6805-1860-4c06-aa38-f6b8d9f8f50a"], + +Cell[BoxData[ + TagBox[GridBox[{ + {"\[Piecewise]", GridBox[{ + { + RowBox[{ + FractionBox["1", "4"], " ", + RowBox[{"(", + RowBox[{ + RowBox[{"5", " ", "x"}], "-", + RowBox[{"2", " ", + SuperscriptBox["x", "2"]}], "+", "y", "-", + RowBox[{"2", " ", "x", " ", "y"}]}], ")"}]}], + RowBox[{ + RowBox[{"(", + RowBox[{ + RowBox[{"x", "\[LessEqual]", + FractionBox["1", "2"]}], "&&", + RowBox[{ + RowBox[{"x", "-", "y"}], "\[LessEqual]", "0"}]}], ")"}], "||", + RowBox[{"(", + RowBox[{ + RowBox[{ + RowBox[{"x", "-", "y"}], "\[LessEqual]", "0"}], "&&", + RowBox[{"y", "\[LessEqual]", + FractionBox["1", "2"]}]}], ")"}]}]}, + { + RowBox[{ + FractionBox["1", "4"], " ", + RowBox[{"(", + RowBox[{"2", "-", "x", "+", + RowBox[{"2", " ", + SuperscriptBox["x", "2"]}], "-", "y", "+", + RowBox[{"2", " ", "x", " ", "y"}]}], ")"}]}], + RowBox[{ + RowBox[{"x", ">", + FractionBox["1", "2"]}], "&&", + RowBox[{"y", ">", + FractionBox["1", "2"]}], "&&", + RowBox[{ + RowBox[{"x", "-", "y"}], "\[LessEqual]", "0"}]}]}, + { + RowBox[{ + FractionBox["1", "4"], " ", + RowBox[{"(", + RowBox[{"x", "+", + RowBox[{"5", " ", "y"}], "-", + RowBox[{"2", " ", "x", " ", "y"}], "-", + RowBox[{"2", " ", + SuperscriptBox["y", "2"]}]}], ")"}]}], + RowBox[{ + RowBox[{"(", + RowBox[{ + RowBox[{"x", "\[LessEqual]", + FractionBox["1", "2"]}], "&&", + RowBox[{ + RowBox[{"x", "-", "y"}], ">", "0"}]}], ")"}], "||", + RowBox[{"(", + RowBox[{ + RowBox[{ + RowBox[{"x", "-", "y"}], ">", "0"}], "&&", + RowBox[{"y", "\[LessEqual]", + FractionBox["1", "2"]}]}], ")"}]}]}, + { + RowBox[{ + FractionBox["1", "4"], " ", + RowBox[{"(", + RowBox[{"2", "-", "x", "-", "y", "+", + RowBox[{"2", " ", "x", " ", "y"}], "+", + RowBox[{"2", " ", + SuperscriptBox["y", "2"]}]}], ")"}]}], + TagBox["True", + "PiecewiseDefault", + AutoDelete->True]} + }, + AllowedDimensions->{2, Automatic}, + Editable->True, + GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{1.}}}, + GridBoxSpacings->{"Columns" -> { + Offset[0.27999999999999997`], { + Offset[0.84]}, + Offset[0.27999999999999997`]}, "Rows" -> { + Offset[0.2], { + Offset[0.4]}, + Offset[0.2]}}, + Selectable->True]} + }, + GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{1.}}}, + GridBoxSpacings->{"Columns" -> { + Offset[0.27999999999999997`], { + Offset[0.35]}, + Offset[0.27999999999999997`]}, "Rows" -> { + Offset[0.2], { + Offset[0.4]}, + Offset[0.2]}}], + "Piecewise", + DeleteWithContents->True, + Editable->False, + SelectWithContents->True, + Selectable->False, + StripWrapperBoxes->True]], "Output", + CellChangeTimes->{{3.8858792838513107`*^9, 3.885879336005019*^9}, { + 3.8858793754220133`*^9, 3.8858793847286863`*^9}}, + CellLabel->"Out[92]=",ExpressionUUID->"84e55cd2-7fb8-4d30-a459-ba68ed807168"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"Manipulate", "[", + RowBox[{ + RowBox[{"{", "\[IndentingNewLine]", + RowBox[{ + RowBox[{"Plot", "[", + RowBox[{ + RowBox[{"{", + RowBox[{ + RowBox[{"f", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", + RowBox[{"g", "[", + RowBox[{"x", ",", "y"}], "]"}]}], "}"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"PlotRange", "->", + RowBox[{"{", + RowBox[{ + RowBox[{"{", + RowBox[{"0", ",", "1"}], "}"}], ",", + RowBox[{"{", + RowBox[{"0", ",", "1"}], "}"}]}], "}"}]}], ",", + RowBox[{"GridLines", "->", + RowBox[{"{", + RowBox[{"{", + RowBox[{"1", "/", "2"}], "}"}], "}"}]}]}], "]"}], ",", + "\[IndentingNewLine]", + RowBox[{"Plot", "[", + RowBox[{ + RowBox[{"{", + RowBox[{ + RowBox[{"Evaluate", "[", + RowBox[{"dfx", "[", + RowBox[{"x", ",", "y"}], "]"}], "]"}], ",", + RowBox[{"Evaluate", "[", + RowBox[{"dgx", "[", + RowBox[{"x", ",", "y"}], "]"}], "]"}]}], "}"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"PlotRange", "->", + RowBox[{"{", + RowBox[{ + RowBox[{"{", + RowBox[{"0", ",", "1"}], "}"}], ",", + RowBox[{"{", + RowBox[{"0", ",", "All"}], "}"}]}], "}"}]}]}], "]"}]}], + "\[IndentingNewLine]", "}"}], ",", + RowBox[{"{", + RowBox[{"y", ",", "0", ",", "1"}], "}"}]}], "]"}]], "Input", + CellChangeTimes->{{3.885875088249832*^9, 3.885875144373496*^9}, { + 3.885875245872343*^9, 3.885875250686838*^9}, {3.8858755833167953`*^9, + 3.885875721425232*^9}, {3.8858757912546473`*^9, 3.885875830843596*^9}, { + 3.8858758675694942`*^9, 3.8858758751774693`*^9}, {3.885875957415791*^9, + 3.885876015778306*^9}, {3.885877913976573*^9, 3.885877929900551*^9}, { + 3.885878506486792*^9, 3.885878515970635*^9}, {3.8858786688559427`*^9, + 3.88587867406579*^9}, {3.885878819435028*^9, 3.885878822611752*^9}, { + 3.885879074447624*^9, 3.885879089444867*^9}}, + CellLabel->"In[81]:=",ExpressionUUID->"52ecf671-a984-4786-bed3-0c076bbbc653"], + +Cell[BoxData[ + TagBox[ + StyleBox[ + DynamicModuleBox[{$CellContext`y$$ = 0.298, Typeset`show$$ = True, + Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", + Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = + "\"untitled\"", Typeset`specs$$ = {{ + Hold[$CellContext`y$$], 0, 1}}, Typeset`size$$ = { + 485.021484375, {71., 77.17227800619892}}, Typeset`update$$ = 0, + Typeset`initDone$$, Typeset`skipInitDone$$ = True}, + DynamicBox[Manipulate`ManipulateBoxes[ + 1, StandardForm, "Variables" :> {$CellContext`y$$ = 0}, + "ControllerVariables" :> {}, + "OtherVariables" :> { + Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, + Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, + Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, + Typeset`skipInitDone$$}, "Body" :> { + Plot[{ + $CellContext`f[$CellContext`x, $CellContext`y$$], + $CellContext`g[$CellContext`x, $CellContext`y$$]}, {$CellContext`x, + 0, 1}, PlotRange -> {{0, 1}, {0, 1}}, GridLines -> {{1/2}}], + Plot[{ + Evaluate[ + $CellContext`dfx[$CellContext`x, $CellContext`y$$]], + Evaluate[ + $CellContext`dgx[$CellContext`x, $CellContext`y$$]]}, \ +{$CellContext`x, 0, 1}, PlotRange -> {{0, 1}, {0, All}}]}, + "Specifications" :> {{$CellContext`y$$, 0, 1}}, "Options" :> {}, + "DefaultOptions" :> {}], + ImageSizeCache->{542., {125.9462890625, 133.0537109375}}, + SingleEvaluation->True], + Deinitialization:>None, + DynamicModuleValues:>{}, + SynchronousInitialization->True, + UndoTrackedVariables:>{Typeset`show$$, Typeset`bookmarkMode$$}, + UnsavedVariables:>{Typeset`initDone$$}, + UntrackedVariables:>{Typeset`size$$}], "Manipulate", + Deployed->True, + StripOnInput->False], + Manipulate`InterpretManipulate[1]]], "Output", + CellChangeTimes->{{3.885875105804722*^9, 3.8858751448703947`*^9}, + 3.885875251573269*^9, {3.88587560778693*^9, 3.885875676401705*^9}, + 3.885875733050942*^9, {3.885875794465667*^9, 3.8858758316207533`*^9}, { + 3.885875877732428*^9, 3.8858758962273293`*^9}, {3.885875937202566*^9, + 3.885876016175824*^9}, 3.8858761895623007`*^9, 3.885876339148945*^9, + 3.8858779361825314`*^9, 3.885878517013526*^9, 3.885878674990596*^9, + 3.885878715148253*^9, 3.8858788229514723`*^9, {3.88587907949229*^9, + 3.885879090208871*^9}}, + CellLabel->"Out[81]=",ExpressionUUID->"910b212c-3895-4695-b276-b6937eb4bc4b"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"Plot3D", "[", + RowBox[{ + RowBox[{"f", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"{", + RowBox[{"y", ",", "0", ",", "1"}], "}"}]}], "]"}]], "Input", + CellChangeTimes->{{3.885878972058942*^9, 3.885878982143837*^9}, { + 3.885879084864377*^9, 3.885879098546811*^9}, {3.885879137106879*^9, + 3.885879172900836*^9}},ExpressionUUID->"39ff6217-f46f-4fda-b78d-\ +68bab713fd0e"], + +Cell[BoxData[ + Graphics3DBox[{GraphicsComplex3DBox[CompressedData[" +1:eJyVnXu8l1Pa/3cklOPjFMIMexxG2CnEqFuDsh0yiBEhKYOZLTSlGjFOIQnb +GGdFStTT47gjtTs4hNK5lB3S7twuZxmn/Ty/33O97/16ve/Xer3m6Z/P6/qs +u+/3/n7uta51rete19q/7tH77F5blJSUnLltScmW/4NXHd7+kd+Uv5Q9df7Y +CXe27NMeHLd2aX1p+fQCXzpx19YTKmYW+NlvH/Ryafn8Aj/k8LdnVdQsLvAd +H+qxuqqipsA3Kvl//5YX+EtemT20tHxFgZ98xRN7lleuLPB77/OX0RU1qwv8 +gHnHta4sXVfgP7x926lVFRsK/FHHLTm9pmpjgb9/0+il9fWfF3jQuqInPIie +5tHTPHqaR0/z6GkePc2jp3n0NI+e5tHTPHqaR0/zqf5Iu3VFT3gQPc2jp3n0 +NI+e5tHTPHqaR0/z6GkePc2jp3n0NJ8ax6n+yP+zrugJD6KnefQ0j57m0dM8 +eppHT/PoaR49zaOnefQ0n/J/qXGc6o98nnVFT3gQPc2jp3n0NI+e5tHTPHqa +R0/z6GkePc2n5o2U/0uN41R/5HusK3rCg+hpHj3No6d59DSPnubR0zx6mkdP +86n5NjVvpPxfahyn+iPfb13REx5ET/PoaR49zaOnefQ0j57m0dN8Kk5Jzbep +eSPl/1LjONUfuS/rip7wIHqaR0/z6GkePc2jp3n0NJ+K71JxSmq+Tc0bKf+X +Gsep/sj9Wlf0hAfR0zx6mkdP8+hpHj3Np+LiVHyXilNS821q3kj5v9Q4TvVH +fod1RU94ED3No6d59DSPnuZT64lUXJyK71JxSmq+Tc0bKf+XGsep/sjvs67o +CQ+ip3n0NI+e5lPrsNR6IhUXp+K7VJySmm9T80bK/6XGcao/8rutK3rCg+hp +Hj3Np9avqXVYaj2RiotT8V0qTknNt6l5I+X/UuM41R/Rw7qiJzyInuZT6/7U ++jW1DkutJ1JxcSq+S8Upqfk2NW+k/F9qHKf6IzpZV/SEt37Ol6TW/an1a2od +llpPpOLiVHyXilNS821q3kj5v9Q4TvVH9LOuq15vMuvA8qeTeSe3X/aP7IGK +mk35/wP5XPOg/58/z88V3phqT92374v2j+Y+1OqQ8srC9w7s0KeqqqIBfR3o +dqPbsVPf48/n/3F9yvb9+fM+q+8/a0LFG8nn4nbGTep6t19x1vV7Xl3zTv45 +Rrcz/lLXu/2anbseWFIyN/8co9sZx6nr3d5y4HdZeeXC/HOMbscfpK53+9oV +D3StLF2af47R7fiV1PVuf+a0Vn1qqj7OP8fodvxT6nq3l13wp46VpZ/ln2N0 +O34udb3bh+1w9IKqitr8c4xux1+mrnd73fTG3WuqVuWfY3Q7fjd1vdtPvX5B +XX39mvxzjG7Hf6eud/uYQ58eUFq+Pv8co9uZB1LXu73J8mualFfW5Z9jdDvz +Sep6t+Of+Ryj25mXUte7HT/hPD/odsa989ig2xnHztOCbmdcOg8Jup1x5jwb +6HbGjfNIoNsZB86TgG6nXzsPALqdfup1Luh2+p3XcaDb6Udep4Bup184Dgfd +Tv9znAm6vdvdHepfqxhbmH/hD3yo5qWra6pyu3ObZn1KSqbmPAjf9IkxQ8sr +38rtd7bqOLqy9L2cB+Fvubp2Sk3VB7k9/M9T/1JZOi/nQfif97v3X1UVC3L7 +woUXDa6pWpTzIPzrd7bcpaRkSW7v0e7H4aXlH+U8CN/3y/dallcuy+0Fox5+ +vaLmk5wH4Zv/Z+sDyiuX5/YpWz92ZU3VZzkPwve7dIsXKmpW5PboN678rr6+ +NudB+IW7zTu+snRVbje+pu2tpeWrcx6EP/L94e9VVazJ7R6lW+9UXrk250H4 ++268+ryaqnW5PXXJoscratbnPAi/6ch2tfX1G3J733ueOaSydGPOg/Cnr2l2 +TWn5ptzGfzk+pB+5H+K/HLfB2z/Sv9w/8WuOz+DtN+l37rf4O8dh8Pan9Ef3 +Z/yg4y14+1n6qfs5/tFxFbz9L/3X/R+/6fgJ3n6Zfu1xgT91nARvf01/93jB +zzoegrcfZxx4HOF/HffA278zPjy+8MuOb+Dt9xk3Hnf4a8cx8J4PGE8ej/hx +xyvwnicYhx6n+HXGj23GDzZ+nXFim3GCjV9nPNhmPGDj1+n3tun32Ph1+rdt ++jc2fp1+bJt+jI1fp7/apr9i49fpl7bpl9j4dfqfbfofNn6dfmabfoaNX6c/ +2aY/YePX6Te26TfY+HXiCdv0O2zHF9iOI7AdL2A7LsD2/I/teR7b8zm2521s +z8/YnoexPd9ie17F9vyJTR4EPY1uZ55M5XPczv9P5anc3qT59qfUVH2ebbpq +aWllaRHdfvbT83u+UfFY9vYvr/90WPktBXS7486UnzKm8jxud5ya8mvGVJ7H +7Y5rU37QmMrzuN1xcMpvGlN5Hrc7bk75WWMqz+N2x9kpv2xM5Xnc7rg85ceN +qTyP2x3Hp/y+MZXncbvj/tQ8YUzledzudUJqXjGm8jxu97oiNQ8ZU3ket3sd +kpq3jKk8j9u9bknNc8ZUnsftjquc3/H6BXT7bac9nz1Q+nr27ortDjy18pUC +ut3xmfNEXu+Abj92844Laqrezmp+36HjhIo3C+h2x3nON3l9BLr9xXdPbXJ1 +zezsnF1vGFBeOauAbne86LyV11Og23f9YHqLkpKF2errLlxcUTO/gG533On8 +l9dfoNvnHtX96PLKJdnTNd9/XlXxYQHd7vjVeTSv10C3D33y5zMrSz/OLj7p +n9uWlCwroNsdBzsf5/Ud6PZnbv3glYqa5dnQxY/cX1peRLc7nnZez+tB0O1b +tH28Q2VpbbZ+yBX7lleuKKDbHZc7P+j1I+j27nVXza6qWJWdkh0ztqJmZQHd +7vjeeUavN0G3V4849sKaqjXZ6K+3altZWkS3e53gfKXXp6DbW5y7zdr6+nVZ +4zEL36qqKKLbvd5w3tPrWdDtA7f98K+l5XVZj24jz6qp2lBAt3vd4vxpKg53 ++5LJoxqVV27Kpu503Sf19RsL6PbtBvberlHJC9mI/Z9Z1btmdAHdjo1/xx40 +7LrXK0unZe1f6dR1WdXkArodG3+N/e0l/1lXWv5+9tDYTy4pKXm3gG7Hxv9i +VzX/5t6aqnnZndVDy8sr5xbQ7dj4U+zrbr7/udLyxdlJB/32ssrSRQV0Ozb+ +Efvw9Ye/WVHzUVZy34wbaqqWFtDt2Pg77PVnz1pWVfFpNun7nv8sLf+kgG7H +xn9hL/y4zY/19Z9lk8oaLamqKKLbsXN/FPaRlVveWVq+Mttr1ZyeNVW1BXQ7 +du5fwr6v4/xdyytXZ/0fefLL+vpVBXQ7du4vwt70w4inKmrWZovPqLixtLyI +bsfOx3/Yp/9X78MrSzdkbbY4vll55foCuh07H89hP39Z+zeqKjZmlVVNH66o +qSug27EZn9iMP9atIOOJuAtkfBAXgfR34haQ/ktcAdIfmfdB+hfzMkh/Yd4E +ef7MayDPk3kH5PkwL4Dojd8G0Q+/CpLvZ51vm3wENvtDyCcYU/tbnF+g3f/P +9wFynb+/qumQl1rMeCGP17HnL75p6K/unJbH09jlYyZOeWnc+3m8i7180sAB +T69tWK9jP/6b5g9sGNgQL2KfP+zVcW22b4jnsHfbfPY7g4Z/msdb2OuP+L53 +bfMVWfeIh7A7rXznp617rMyqI17BHvXwg3e1HNsQT2BvcUbP3c/6Zm02MOZ7 +7O6NWo/s265hPsae9GqjskcHb8xax3yJ/cfLl321bvyI7JrtW426rHZkbrdY +XHvJIyMmZs8fssOxi4+blNu3TWpZ+8lf38lOWz3tzJ87zMjtH+750+7XPjIn +W3HhjdM6tZ6b2xOPmPdMo0sWZk++tXfNfW8vzO2+D19dfeqXS7ILDnv9m6V/ +XJrbrRttt+SBWz/Omv/zvB0OWP9xbn/7ysL+m5p+ll1e/69djm7/WW6fe+XI +rXbpUpvNePndERfcUZvbr+xzXeUxT6zKfnPFQ4fdNHdVbu8y/4T9uq1ek93e +4vKJI/dcm9u9B+847u9HrM8+ndum07s91uf2zOM+aTuqf112wu1bLqwbW5fb +jx07v/vO327KWn4+7u33phXR7ZMP2//V2i6fZ8ee+9aEuwZ/ntuPnjLxwrsu +ezA79qX1O1ReNCxH8mJvzX9u1vvXjs/t6/ocNKtX11fzdSY2ea6DO/Za3Xha +Q17siLs773nyvDfz9SE2easRe4zY86FVDXmuMd3uOv3Db2fl6zps8lBD/1ox +etfbG/JWO++xYkqb7Rdkv8R6DPuCyCt1+rjp1Iv2WJzbs266aemg4R9mE2Md +hd088kRbdRyzdPRzH+X27WtbfP1Oq2XZX2P9gz038j6Tx5/89ee/+zS3nzr4 +oibb9GhYx2CTx6m++9rBLdY05HUafXzoAy3HNqw/sMnL7HPCCbt0KGvI61x0 +/w/7nfVNQ/4fu1HkWfp9s8OIXgNW5/bkk98b17ddQ3yP3T3yJh+O+bjlkOlr +c3vPHx469tHBDXE6NnmQYy4a9/r4Zg15lP7jL3+nek5DfI1NXuPBnf/WcUGX +hjzIoh5HnVPbvCEOxn7ukitmnX7Ww8m8tNvx01tOfvyRvu2K6PZW5y/Y6qTd +X85GNX6u5dY3vJij+zd4aqPej7Q9Y1S2MvLCK5Uv/ubEpa2evXJMAd0+bFDp +0a/81/Rsxjn3vvfgimk5epyA/zjgsJenfj4pmUdec1KP+s2Dqgvo9iZnXnJl +x4Uzsw6/ef+ng7ZuQI838PeXzRt63eMzCvnlt6O97usNRw677N0Cur3dTmd0 +/ssN87Nuf9ui+ce7NaDHLXjRXk2639I9nXd+qccurXd6a24B3f59//V/enWH +D7M9Vg5vdeCYxTl6/IN73jpywMyvivlo2q+e+cLpXc8rotsnfHbHzb+MqMkW +n97utN7HNaD9CLhowwkP7Hp7MU9N+6FtOl/+9NqlBXT770ZVfjByz+VZ5asf +9Xxt1qc52h+B93f5ZNxFexTz2LSvfHzDTRsGFtHtj3W99IJ3e6zISnc8fsrf +j2hA+zXw2U/aXbagSzqvPe+Wt05/dHAR3f7t9mVr6sauzG5/s+npo/o3oP0j +uNUD232x+Yl0vvuIYx5YWj2niG4/d/ovfXb+dnW2/PqlS96b1oD2s2CPTjU3 +tFhTzIPX9/7f9js3XHp5bfMiuv3Ffh+UHN1+Xdah5Zhem5o2oP01OPXH57bt +UFbMk9O+fnjZ11v3KKLbdzj08XsuuGND9vjyfl/9R5cGtN8H93uh/z97DUjn +zcu71N/UcmwR3X7Vp1ftddPcjdm//nHyTcc80YCeP8BBPTsdMGR6Op8+ZpvZ +2531TV0B3e44Blw68d5Hrr/otWS+3e2Ob8CV47co6XzO28n8udsd94AX/b1d +6+XXz85ujXaj2x0PgesPPr71sbMb4iWj2x0ngaPvX3r6Ld2X5O1Gtzt+Ai/+ +od/lM79all0X7Ua3O64C723V9IQh04t5ZNDtjrfAjauWzBrfLJ0fdrvjMPC0 +R5/tuqBLOt/rdsdn4JjO/VZvfiKdv3W74zZw6y1P7tNiTTEPC7rd8RzYc8Iu +JR3K0vlVtzvOA9/884qhvQak86VunxPr78pVbds/9av+ud1p+B1zHqu9Il+v +256wW+VWfbsOy+1K6oKG3Tq5ek4D9uhf1rPFmnQ+4fkJ6w59dHAD+nNB2v3/ +fH8g1/n7ySPse/ZXNx0+8+VCndfgH1r3OaTpm4U6r59nXj36jcNnFeq83pi9 +sG70c/MLdV7XH3Ndky9+92Ghzqv1iB1/dezsmkKdV//bFrfoUNbwHoc8wqK2 +o57rNaAhr0Aeoc3GPkcPmd6QV8jrvJ76/ZvjmzW8ryCP8OW5O/9hQZd1uU0e +4Yymy5dtfqIhr3Bk5BHGVI+/ssWajbldG3H6dyuP//mQIU8W0O0fNd/9hfHN +Ps96Rn7e6Havn/N1daybvZ52PghkPeF1hvNEIOsArw+cPwKJ3x3XO68EEnc7 +Hne+CSRedhztPBRInOv41/kpkPjUcavzViBxpeNN57NA4kHHic5zgcRxju+c +/wKJvxyXOS8GEjc5nnK+DCTecRxkfwEuj/5y2LK3Vo3f8HoB3b77UT0nN3l6 +QnbMv84es3jXqgK63f7I+wfuyfYZfeVeRXT7FnV19z/47VvZLp173vHz4UV0 +u/2d9w802fn8pT+2n1NAt/9t8kFvH7TX7Ozu/YZPvPecDwrodvtT7x/Iri1v +MqNVEd3ev1Orn7oNX5D9/fu673Y6vohut7/2/oEfl67eb6e3lhTQ7Ue/MHu3 +0a2WZO0vHbLTBbM/LKDbPR94/8CE3992bNfziuj2L5r/5YjP31yWff/eQb8d +2b2Ibvd84/0Dry+675CzvlleQLcvmnpbaYuxy7Ouj6z4db8BRXS757Pu2j/Q +fMglVX3bFdHtbfqe8+IJ36zIXj/jxfGPTi+i2z1fVmv/QN/2h5/46OAiuv2B +Q/Zv36vdqqz5Fn//3ZRmRXS752PvH1j01U9zqucU0e1ffvzF+3cNXpP1rer8 +bm2XIrrd8/1A7R9o9ezMbrXNi+j2Myqn/HH8nHXZvKv2OXebJ4vodscT3j9w +34WPrtu6RxHd/nzHYSvnN6/Ljtiv7rOWazYU0O2OV0Dii407Xtmv5dgiun2b +H7tdu/nSTdnQBROvPqusiG4/fsbZu677YVw26Myy9Xcuf66Abh9436vD7rnl +xazrrHdGTt7x5dw++dYz+59+2dRs7Pv31Fxx7JQCuv2VRx78Ycmqadkzx+y7 +1bXjpud2dZchYz+5471sdlWjpzpOe7eAbm/557mH/bnpzKzFtl3bbjlvZm7v +/UCP3m3Pm5cdcNK+V9V9NbeAbj/7ydtfuHGP+dmpG9979f2B83P7wx/r77x5 +7aJs+bg3bj3q9iK6fbutD3h/xnOLs8bn/WnOLtt/mNv/6PnE0+8P/Ch7fLeu +T9y4RxHd/n7vqbU7HV+TTa9uvK7b8JrcPv2D4ybtsv2nWZcbv6ua8dwnBXT7 +4CUX/dx19qfZlF3OarSg+fLc3nrvuqvGz/ksu/vr8iu2ebKIbn9qxKC7zypb +ke3z7n7DNl+6Ird7zpm4eX7zldnaZ5t/23JNbQHd/kuX05v3G7AyG3jDpr1a +jF2Z21Nuveu2zZeuzk7stubms8qK6PaLt9171KPTV2dLyyY/e8I3Dfa+bc/f +ucXYtdnTO1Xt0G9AEd3+xuR1raY0W5cds+ruNr3arcvtm+oOfPKEb9ZnW759 +22OPTi+i2/e+7rXq2i4bsoceuWDaXYM35PayEd/+tle7jdklA845eEqzIrr9 +rwfecdo2T27MvjjjkM7j5zTY07/d47PzFo/Mtrzx26rv3hiR4+wnGn14ZptJ +2ReXfjFtv2cn5njxiDf2ndh+RtZ7i9a77t//nRzr2v548OhWc7O1Cyo6vfL4 +nBzHPPXw7z9/c2H2wtld2o3s3oA9mx7dre15S7O/vPHleXVfLcnx130W9L15 +7cfZb0vvveao2xvw84rXOvVq91nWp+PuJ09p1oCn7X/HwrsG12Zzflg5r7ZL +Az6/+NxLx89ZlR3+Xy9fvM2TDbjN3aWb5jdfmw297JYNLdesybFX9vXAzZeu +z9btcVb/s8oacPrX07ZuMbYu6zRrv636DWjA+/dd/4eag/tnv9/0yx82Dboz +t6cN+eMFzW65M39vhP3moReXj/+fdX+nxpM6bvNkAy5+6p/zNz9R3D/gzwX9 +uSCf5+/h8/w95DXmRl4DJD/hvAXvexzn/zP2k3jfAryv7x1xsK+H9/W7xH4T +Xw/v6ydE/s/Xw/v6C2Mfla+v////Pi3wXO/P4Xrz82M/lD8H3tc/E+8DfD28 +r+8X+2R8PbyvPyXiJ18P7+v3in00vh7e19dFHs7Xw/v66tjP5OvhfT37Clnv +YdPfvB6kn5inP5jn+Zrn+ZrnOZrneZnnuZhHf/PobB49zaObeXRivYrNuIbH +Rh+vc9HHPPqYRx/z6GMefcyjj3n0MY8+5tHHPHqwrrY+8Nj0N3hs9PE6HX3M +o4959DGPPubRxzz6mEcf8+hjHj1Y/1sfeOsDj91beT5s9HGeAX3Mo4959DGP +PubRxzz6mEcf8+hBnsL6wFsfeOsDj40fg8dGN+dJ0K2QPwndzKObeXQzj27m +0c08uplHJ/Is1g3eusFbN3jrBo+Nf4PHRjfnf9CtcG5A6GYe3cyjm3l0M49u +5tGJOhPrBm/d4K0bvHWDt27w2Pg9eGz6Jzw2erpeBj3No6d59DSPnubR0zz6 +UT9jPeGtJ7z1hLee8NYT3nrCW094bPotPDZ6uj4I3Qp1Q6GbeXQzj07k76wb +vHWDt27w1g3eusFbN3jrBm/d4LHpn/DY6OO8JfqYRw/qlKwPvPWBtz7w1gfe ++sBbH3jrA2994K0PPDb9DR4bfVy3hR7kQ60PvPWBtz7w1gfe+sBbH3jrA299 +4K0PvPWBxz5F7+uw0YO6L+sDb33grQ+89YG3PvDWB976wFsfeOsDb33grQ88 +Nn4MHhudqJuwbvDWDd66wVs3eOsGb93grRu8dYO3bvDWDd66wVs3eGz8Gzw2 +OnnfMjo9EXVIIDoti30GIDodF3VKIDpNjPwWiE59Yz8LiE4XR17gYuVbtojn +DaLTSXHfIDrdGvcNotNbcd8gOjWN+wbz9ULcN+g6SOcr2kWdFog+g6JeC0Sf +fWP/H4g+1VF3CaLP6Fj/j1a+on/cD4g+p8RzBtGnLO4PRJ958R4fRJ9r475B +9PmPuG+QeeGVuO9XVD9K3abHL/vIna9oEvsaQfRZHPWkIPrsG+v/fZWv+CK+ +F0SfqfG9IPrcF88TRJ/usd8ARJ+yqLsD0ack7htEn3lx3yB6TIh6VOvDfnX7 +tzuizs/5is5RJwuiz8xY/89UvuKV+F4QfR6P7wXR57b4XhB9/hJ+AkSfMVF/ +CKJP/9hvCqJPedw3iB59os7W+nAOjPU5MeodsdHhjljn36G8xDXx+SA6nB+f +D6LDCfH5IDocHPs0QHTYKfwBiA7fx35ZEB2WR50yyO8+IuqErQPn1ViH+nv/ +t77T8+Ca2NfhvM2JsZ4/UfmHlvG9IPrsGt8Los9P8b0g+qyM7wXRZ1bUnYLo +80r4AxB9Ho/6axA9NkT9s/XhvB3r80bUuVqfkbH/xHHC3VEHi40+a+N7QfRx +PQX6vBbfC6LPiPheEH3ujO8F0eea2N8Mos/54Q9A9FgQ92t9OkXdREGfqPe1 +PuyTsT7UAzuOYv80dj7vJ/IJHeN+QHSbGPcDotvhcT8guj0d9wOi2+5xP2Ce +D4w6ehCdWkUdu3UbFfdr3faMemjrxj4f60a9tHVjv7jjT+r0HX9OSuQTyuL+ +nU9oHvcJoltJ3A+Ibn+N+wHRbW3cD4hO90bdvnXbMuperNv1cV/WjX1K1o16 +cuvG/njrxrkE1m2vRD5hWNy/4/Yt4v6dT5gf3wvm+dL4XhA9NsZ5BNbn0qiv +sT6Lom7e+rCfyvpQV2992PdvfThvwfr0T+QT6uL+rQ/1QV7XLIz7dz7hmfhe +ED1Oi3MWrM+UqAOyPq3j/ADrw74v68P5AtaHegbrwzkS1mdxIp9waty/9amO ++7c+R8b9Y/O7n4tzIqzDPlGXVFj/xnkJ1oF9aNaB8xSsA/UY1oFzMKxDm0Te +YEzcv3VoEfdvHe6L+/f6t3Hcv/Mq1D9YH/ZJWB/OkbQ+PWK/XCHvFOfqWJ/T +os7E+kyJfm197kvkBxrH/Vuf/nH/1mdj3L/1uTTu3/mBRXH/zquk3tcfyLmZ +gfC/iv8H8jk+b4jryT9g8xyWxbp6mdbXPmeT53N7rD9Bns/lsR4D8/0nnOcd +yOe8FOsQP3fXL/Ocx8f1IPxdsf4B+ZxDI+7HBg8Tz+e4fpl23tf6+jkRH2Pn +78XiHBf3T9cp0877Tr9/vCd4kM/pE/ElNrgo4lr3f9cp0877Qr+n6x7/D+Rz +ONfoQvGcT+Tx5Tpl2nnfhs142iviPzCPl1R3zDhrHPEQyOcsjvk+z7/E+Fsf +cQsIvylskM+fGvO1x7XrghnHk+J6EH5JzLMgnzM65kFs8HnxfI7rgmkn7+/r ++8c8gg3+I/y585Ou/6Wd/LmvPzX8LTZ4Q/hJbPyN63xpJ8+Mjf+hPsrzCH4B +m3Hp/Sf4FcYzNuPM+zEYBx4neT9VP6af0y8L8WqsLzyP0G/cP/2ei37H88bm +Ofi9D/pZX/Tn/LpqzQ+uf4T3+VfwnHvlvOtHkUcD4c+O/JHzP+Xhf0D4p0Jn +EP7wlM7hl0B4rzfzODnWRdgg6ys/L6+z4OfLz+T7PbS+gCeexqb/pvZ5XhC6 +g/Tzj2NcgPCr+Pto4r1vDX582OO1r+/oyJ+C8I/GfT2qceRxB39ePHeQ8XRj +5BnBfH9p5DdB+NQ4/THydGCezwgbZLzWRv4OpB/Ni88F8/cjkX8E4b1PCX54 +5L9A+AURJ4B5/4rrciTOjPkdpL+Mjn4M4jeGhp8B4e8L+z7x3m8APyXsKdrP +cHGs60H4gXFfA+WX7Mfy/HP0fxD/VBbrXxC+Z6xbQfiU3xsW60QQvjJsEP+3 +RawfwTwujnUiCO86I/jusf4C4W+I+RfEX3LehP2n5y36D+cueN4hj2d/SJ7K +foznbX/l+Yb7p24fG7/xQSIevjbGiePePSMf7Xh1N/H8vo2Rt3Wc+XrkZ/P8 +UfTb6xPxD+t9xy2/inWu45YW4vnd28R6EBusi3Wf51O/z0Wn/eP57q/n7PUO +POcyOW55Nd4PgXw+76ew0fWieF8CwncNu6t4n/vP9xbseA5HxnsIEP7neN8A +wvvcf/qvz+un//o8IvqvzwXi+e8Z/XlP9WvH7fAlnLsmP0Y+DeTzOa8+Xw9E +f5keeSQw70dhV4v3OTx8r236F3kbEJ78DAjv83boRz6/hv7i89nhD4z+CsL/ +Pa4D6Rc+jwbe615wVczHIP3Q8yz86kR87n2w8PfGexr7k7vE537R58aQL9X5 +Lzx/n+cCv0/0PxDe8x3P2ee55POm1mOg5y/6lecp+MaJdQHnE4DwH0Weyn5v +sXj61XfxXh8b/EY84/3ZiO+fVZzv93TwuyfmO7+Hyt8DKs7n+b6RmAcr4/0C +NjhMPL+jbcTHYB6/Rb/pr/WC4zQ+z/EV84jrc/L8TLynw+Z+jov7OE5x+8nx +Xhyb7+0R39dDcd1RkffeS/n4NTE+QdqbRP8Dua/qeB4g43VknCuFTX/sEecO +Yef7ReN8OGz8T+M49wHkPg96a7faQcMX5Mj4PvWME0+8pfuyQvywIOreQX7X +yLmtZlbPaUD6+1EPnvLjCWXFdfQL4/qd9sWP43LM85qT2y5oPO3dQv//jzgn +BUS3bl0v/qR6TgPmeeZ9+u7QoWx14X3E1CcO+HrbW17MbT7/+jh3wePllB7N +mncoK/afSY/cVvdj+xk5onO3OE8Gm+dwWJyvB+bz6W7vLqye04DoXB3nqGDz +vEoW9z7vlu4LC3Hje3FOGchzq/jdujmDhtfkmO+7W/pJ4w5l6wvxXr849wrk +uZ0y9LFp1XMakPW38/Gu90rVfaXqnVJ1Pqn6llT9Rqo+IbXPPrWPPLV/OrVv +OLVf1jqdqXwG+sCD6GMefcyjj3n0MY8+5tHHPPqYRx/z6GMefczz3sU8/v1h +1fWiHzw2usGD6GYe3cyjm3l0M49u5tHNPLqZRzfz6GYe3cyjE3ld6wbv8eu/ +B4tufu+DbubRzTy6mUc38+hmHt3Mo5t5dDOPbubRib83YN3grRu8z6nbVfk/ +9PTfNUBP8+hpHj3No6d59DSPnubR0zx6mkdP8+j3murg0Q/eesJbT3if+/ea +8qDoCQ+ip3n0NI+e5tHTPHqaR0/z6GkePc3nf/8xcR5ASfw+68z1zqNzvfXn +eufFud7Pheud5+Z6Py+ud96a631+Y7dEXpnrsXm+XA/yfFM8nwPy3H09vK+n +P/h6eF9PP/H18L6e/uPr4X19/vftdT28r6e/+Xp4X+9zJtzffP5E6tyCVL1+ +qk49VZ+dqj92XWKq7i5Vb5aqs0rVF6XqZ6yTz9XweRvWzec6pM4zSNXxp+rX +U/XZqfpj1yWm6vFSdWip+qtUfZF18vkiPnfEuvnci9R5D6lzDlL1/an69VR9 +dqrO2PWKqTq9VH1aqv7KOvmcFZ+/Yt18LkjqPIzUORCp8w9S9f2p+vVUHbbf +y2F7n0eqvjFV15eqW7N+PofG59NYT5+nkjpHJHV+RurciNS5CKm6/1T9eqo+ +2+8nsb3fJVUPmar3s34+p8fn91hPn0OTOn8lde5I6ryN1HkSqfMSUnX/qbp2 +9HM9t9/TYnvfT6pO0vr5HKPUOT2p82lS57KkziNJnbeROk8idS5Cqu4/Ve+O +Tq7z9vtnbO/vBF0nmaoDTNW/gdep7gs8XHVQqfqWVP1Gqj4htS8/tR89tT87 +tS8ZnBHvWZ2f4X2qed6Dmud9pnn+Hol5/q62ed4vmue9oHne75lnv7V5/i6h +8yr8XULz/F1C8/w9QfP8PUHz/D1B8/w9QfOfx/t18+yHc36D92Tm2Q9nnv1w +5qlD8HqfffmFfEK8DzPPfn2vc9lXYb6H1rnYY7Q+xf6V1qHYs7TexL5T60rs +k8KfwWNfnFg/TkqsE/dKrAf7J9Z9ixPruzaJdRz72r2Ouy+xjhsQfi9f/4T9 +Zfg9eGzqbl2PSx2q61Opv3Rdpuu7UvVLqbqdVL1Kqn4jVbcATgv/xnoDm3pi +1xlTX+u6W+pKXW/q+qtU3VGq3iZVf5Kvv1R3Ad4afiw/byDsLPwYPDb1r66L +dR1Uqv4nVQ+TqgMBD4p9D8TZ2LWxjwEe23Uj4MzYP0h8ie16j9Q5Hfn+M9WR +HKi/k+rzIxdGXQjzBzZ1Ia4XuTn2B+OvsdnPzef471/YzzNP4U+x8dPw2Py9 +3NTf1TXPfhT8L/bC2Hdg/8y+cPwO9iVhM96w2S+OP8KmvsF1D+wjd92D6xlA +6h5cD+F9fqDrHtar7sH1EN4X6H1Urof4d+sZQOohXCfB/O66h3+3nsH7Zlzf +4PoE75t3vYLrELw/w+/z2MfnuIt1Cf3b76Xc/+lf7of0I8+DHTWPY9OPPD+y +XvH5fK5byPt1xAM+Z871DN5v6vPSXM8Aum4BdN0CyN+NZzz778h7vHeLeQwd +u+nvScJj8/carf/uCf6XmE94Hth1sZ/Vz2ti7Gc1v6f2i2F7n2s+/iJ+8L5F +738FvT9xemJ/Iva/u18W9D5E7BqdswIyXswzLjyOeJ4eL/jv1Dhyf+DvqJvn +762bZ9z5ubM/23y/BM++bfPsbzXP+HU/oR7P/KioDzDPOQXmuyfifPyA+VOj +rqUQx4YfKMSx0U/tH/aN/mg/gJ9O8e7/f0uMC9cng9skePyPx4vrdcEvI94z +j7/yuEjVy3VO8Owf975y8lX0S+wL5cewyUvwvLHZZ81zxaYfev/13vJLzlO5 +Lm1qYr8z+QrvU3b9Gbbrz7BLo44Cv4B9sHjsZeF/8AvYTytOw3Y9GbbrybBd +H4btOjDsf7euAHxP53il6vFS+0fBbWPft/1qswRPnGK+S9R12d9St2AeP2+b +fmp/e0Qibtn4b9bvpfbL5piIq/F7BVv1e6n6AcfJtl0/AHrfP+h6IbBp4nnB +ozM286N1Zp++7TWJ+JP5zvPIsJhPzQ9J8MyDfr6uX3Jdk/fpsx/f+/S9Hx/b ++/Gxy3Q9dmr/vffpY7Mf3/v0vf8edJ3V/3X/PVir9TU2+/I9Hu+K/B/PFbss +8lg8pzKdNwaPPVr+E3ue5hds79PH9r588N/dlw8uUt0D9jjVzYxL1NNgd0+M +06O1Px48MsEPkc5+r+T1m+s2sF2fgX1M7PfnuWK7/gD7stjvj17YTdRvsb9J +9J9qPUfsRrGf237m/djHjQ7YV8c+bnTA9n5ukH3c3t/NPm7v7/b+ePCQjr1W +N542teA/q2P/e/47w/a+eZD9794Xz/5374unPsB1A7tEHQDjBZs6ANcHXBt1 +BX4u7PsvzJuqHwAPjjoJnhP2M1GnYf9/WtRR2J9TP+G6CuonXFfheo/8PAjV +V4DrTupRv3lQdf6csF0fkueZVW+Q5710LiHYPeJrPh+buNj9hLjY/DNx3i3P +A/uEOOcVHpv1pp/jpBhP5veK8+HMr4j8K+tmbP4uLDw261m//2K9aZ44yDxx +jflOEafTr7DJB8NjU0cFn9dVRXxtf8I5feY5h84856+Zfzfy2fRv7P0j7oLH +3ibiKXhs6iDhsYlTPI6IU8wTp5gnvjD/QKyTGIfY02O9AI+9JNY98Nh/iHge +Hntl1HvBY3N+n/0A59aZ57w285xfVrhedW/Ya2L8wmOfEuM1P1cl7FMZl8Fj +z4lxDY/dUXXG2HfEOMZvYreJcQyPXRnjMq8vDHtCjHd4bOIgn6/JeZA+J3JG +jG/8GvaCGN+5Hw67R6y38jrmsP8c4xUee3j4B3hszmHxeZ8+fwJ7hxj3+H/s +PjHu4bFbxbiHxx4d537BY+8Y4xge+45Yd8Bjs173uaSsH33ups+9wL4n/ATz +FjbncPt87kbhJ/J9VmFfH34CHntzrMPgsV9W3SR271iXwWNTN+vzVslP+DxR +1sU+R9Pnc2BzvrjPHedcbZ+3fWr4FXhszlf2ucucK+zzhrtyTnvw2JwX63Nk +qQf2OankY3w+KOt9n4vp80KwW+i8PewXop96voZnHsL+KZ4z/h17RPxu/CP2 +UO3rwOZcNvtVn2sG+twybJ+ngu3zTrBvjv7ruOjpuF/Pv0fGfgnfZ5voX47r +esb3eF1wit5/YVO36niPetPC/rfQ3Tz1p+aZh8xzv+Zdvwv6HE3Q50SCPi8N +7J14b8LvNc/vLexzi99biG8T+9n4XYU4OX6XeX6XeX5XYV0W/cx878T7U36X +eX6Xee7fPPdfiMPj/s1z/4X1ctx/6n4cP/O95vneQhzOOeTi+d7U53g88jmF ++Dk+J3W941KuN08/ZZz6fD94nxML7/NC4X0eUb6OVl05fH6uN+tzrZfR33we +H4jP/96EeHSwf4P39fxu/Ip1cN0+vxveOsBbB3hsfq/zG/zewvs+4gPx/C7z +3C/+w/fv8x3yc+yD9/3DF85pDN7nPHge4XeZ9/kTeT6BOEA890s/8v3DF86T +J/7X/cP7/gvvF8h/iec+zfP9Pn/Bz79wTnvwF6rfOq/C/0NXfw68z+Hhd/h8 +M89r8Pb/9C/z/D/8rD/HfpjPMc9zNu99CvZj8Nh8r/1wvq9UPN9rnudpnu/f +VXEN3w9vfwJv/1LY/8C+T/Hcj3n6hXnuy/MB9wXv+4S334C3Hynsx+DvfXjf +Rdynefprav7qpngw/3tewfv+4X3/8PYb8Pbjnkf4veb5veb5veb5vebz/Qji +/6/xb2fFjx4X8B7/jpc7K960zj6nic+DL5yXGLx/h+Pxzopn/b3wfr7w/vs+ +8IXzeTQP+5xg6+r1QWfF175PeN8nvPuhz4HifuF9/44XUvOtz9vzc/b6prPW +B/5d8IW/V0I+RL8L3vMgvP8+Drx/r+OgVByRmrd9jqD7nc+Z6qz1kHXwuWy9 +tQ4o/F2S4K0DvOdxeM/X8NbH8WAqnkrFL/n5UYo7fD6ibfsj0PEB+jGv+1xx +5i2fq+l5Df2YJzxePI/wOfhT9zf0wkZveOtv/2y9befnUmt8Oq6z3u6vzsP4 +/C3b+T4njWM/J/pvKt7zusm/0/7dcbv7l+eNVL4olWdwPMZzcT/huaV49xN+ +R2EfePyOwv4ZzWf2y6l1hJ+3x5XHl9/bcv/cB/Z/A6vyQp8= + "], {{ + {RGBColor[0.880722, 0.611041, 0.142051], EdgeForm[None], Specularity[ + GrayLevel[1], 3], + StyleBox[GraphicsGroup3DBox[ + TagBox[{Polygon3DBox[CompressedData[" +1:eJw1m3f8V9Mfx++9n3vPvV+rKJIRhaw0FLJKlCglkSQze8/ITEaysncie2Q1 +7ZFIKDOjUsooZFVSRn7Pl9f5/XEe79d933PPvffcc977Nh1wWu9TsyRJ8iJJ +atAB0O+hzaBrhCR5mZOvgP+ukmRmniSdoO9w/GmaJG9Dp9DuAv8B/Yi+H9I+ +5/hFjl+APg/9BN62DD6T47fUDzoZOg3+e7RPOH4a+hTtJfBEzk2AjoeGuiRZ +wn17cN9POd+OcWZzrleZJPWgN0PHwR9Le43jVzieBP0I+hzX3wz+Hfo45x+j +PadnEqVNBtfjHSfpWj0X9ziXe60DfRveFNoH9PmOdhNtY1oL+i1hfraEvsM9 +boT3BHRzjn+Bvxl0N47/AF8C/RW6M2037nMjY7cFz+UdbgBvC54Dvh28E/hb +8B25+38H3onrW4DbcO3l8DcFfwT/Jvgnc99toNdzv9vhD4d+x/P24vxyzp3P +O2yk5+Ha9vTbELwp+HHO/QT+kXZN7vG/iHN6A20D2iyuvZtzTaEJ878AvKfm +n3tcwvl7oH9y/DH8jtBFtAl6H+hy2mTwLtAVtLfAu0Iv4NkOpl3A9X9x/An8 +3aCD4R1CGwz/PGg/2nngPXjmldz+NOg/9PuK/ntA/6C9oTmCXknfI2hX0v83 +jl+GvwP0F9qL4O2gP9NeALeD/kp7Cbw9dCVtHrgzdBltkr4B9Hfa6+AdoRcx +dn/aRYz/K89xMXQe9CF4D9LGcTwfuhfz9yv4R3Bf8L/gRXpfcAb9jfnqDl2m +vQXtA/8f+swE7wL+BvwtuAf4d3ADvlN38Cf078T9/mQeTob+zHFn+i2Ffgbd +gT5z6f8luBP4e/C79PsBuie8nzW38HPoQlpv8J+cW5Px9wB/wDjTad/Cew+6 +Fvw94X8E/oL+O4LncW42uEPN+2Ax8/IK89Meug/H29Ia0g7kvhO0PhmjD3gd +eOdCH6XvvvD/4PrHwL3Ay8GPg/cDrwD3pd96WrPQR+D3hL8Mfk/G2gV8Bvf6 +MfVebkZ7iD7d4C+p+b6N4N0FvUfySWsb/scc3y65UnqdXqK9kHvdDQE3h95X +et19Dd2TNhT+bdxzAu+/AtwaegbHB4PP0nvTN6X9y/FIrt8duoh7PQjeG7wY +/AB4L/Bv4HHgQyVbtTfYR+9BO2g9Mu4/8LeDHs74PcBDuf929JmlcenzMOc2 +5V59ofdq/dJnHmPep3UNng9+Ftwv0Q2S5BnaQcB/4R+q9QM+k3EOYNwGjHM7 +dA3G/5d+feA/BT2QPv/Q/2HOXac1C12XPqvouegzkT5H0KfMvb8PBwfo07S+ +4JVcOx58GLjILfd70BrTBpXG50Hnc+4G+rSDPpxavyyg9QS3o61Le6m0bNa6 +3RW8C/gE6GJafe6zEnoUbav4TZ/TmoGf8pz3wRtB+4IxJ/Hua4MHcv4YyU/w +M9ALNA7n1+V8He/3NLgXz/Mp118P3QB6p9Yr/Mn0mQLuHsfRHD4C/w3498K7 +nvaJZBPXPAf9GP7H4MsYZ13oCMk2+D/wfI9yr+b0P6iwDKmD9xe0M/N8AbyD +Obc713dIjPfjXDfo2dC3Suufn0rLv+H02Vbfmnu8CW1QWoZdD78tdBLHW2q/ +c/5a8InwBwbL4DPBjSTHue8l3HcI54fTzoN/VbDOLGi11DLiNtoWtIsYaxh9 +bqdPf/o3ifruFFpH8KnQsZxbE3wW+GzwIdIt4K7c63LudTn4Vu69BfzPJB8r +r4ku0Hp1WjysRcltvv3hnC+hG2vuoBMZdxnX36E5h/4e97X29zWcH0C7huNu +HE+BLtC8Mda3jL81eDL4a/CW4G2411aF5UlXjt+Ubtecac3wGI3hbw/eBLwh +eIdgndtEuo9+q3Kvz6DbBuvT9eBfR7s0fve9dG/GfB16KO0X8DTocbS1uHaW +9hn0qMz7bWm0H2RHtOLZWhbes43Bq4KPADcB1wcfLX0OXhN8DHhj8FrgY8Gb +gxuDTwY3Alfgw8CbgRuBTwQ3B68LPkm6nfvfRRstvcmz38S77ABdnz6r02cA +fc6mHS8ZwrveQN8GNa99rSetq9VL2yeLwOvTtw3Xti0sJ7cErw8+FXwj1zas +eY9uAH8N+EfB3wK8HvgU8CbgtcEngGcw5m9cUw/8PngZ130AfTzqnVXBb4Dn +aj2BH4w2nmy9LzluzLVzoE+WXsNPQR+LtsEq4P14/o488xbwegfv0y3Bj5Te +149Kj1SWuSs5/2S0DerDvxc8KpdAhIKfAGfgh6ONUUpORNujkiyJ9kYdeHS0 +K+qBn4o2zJrgp6O9tBZ4/2D9tRW8x0rbY49L/gTrmq3h58zlM9J7sh10PX2+ +gtbgPU3rk9mG1Xp+uWaZpPX8IXgU/YZwvmSci8F9uXZwafnXhj5fqj/nzok2 +8EjOXSj5Q+vJN7qTOb4b3o6aU31Pxnq2tOwdA91Z8w6eq7nn+uFRrj7I8dWy +d6Dvco/1tacYqwdj3ga9o7SNulAySnYF/Bvh3wovBS9knK7wm4IbwD8OvA64 +BB+q9c+YL2Tez1M5/oH+Lbl2uuxF6V7w++B/ZH+DN5Peov/r9A/M7Rj5HYw1 +o7JNrH1dwp8I/2X5L5Xtb8mHd2SLgFvpXWRTgluDv4s6tYVkT2X7Rt9rQWV9 +uQ30i8q2/kbQzyv7A5ItzXieJ7nXi7LDKu/JNoz5WWU/QbKojufpS5/FPM8P +lW2L1tBz4R2kb861qzAnK2RXwV8N/Bd4f/Ba4BrX9QOvCc7AB4FXBf9Jn97g +DLxIdgx4dfDf4APA9cEp/fuCC/Av8PcB18A/yQ7TmgT/DO6uualsE7SBNoRf +cG1/8BWS7bQreM6Fle2VltCfop3RVnNO/6Wy/8AV+HfZjnpO3v0wrl3CWHXw +l8uO1LyBG8I7XjK+sq2pvdyU+XyC/s9zr6ugR9KuAren/570P5c+29BnqvxV ++C3B74I/BrcCTwfPkF6m/5mMOY/77wDuzLX78l1ay3aWLqDPTvC7wR+kZ6bf +ZK2rwnbLtZz/QXZxab9rKnQ12RDaN3oO8Ems+TXg7804r+XG3cDTJY9lv3Cv +t+j/PtePLW0/va39Be9W2qMct5G9C/4CvDPX9mTs83iereC/Dv9d+HMq26yb +QmdHG6WZZK/kida5/IjKNvQm0JmVfdGNofMq29ybQ7+pbMdLRs2vbK9Lls6t +bPtuBv2qsk3cHNqgzrGFg8EdwK/m1h0dwdO018C7gWfr2cDfV7ZrW0lH8Gwv +Zdbru9JnMPxF8gnAZ4C/kt4GB8Y/hP5v6vn0bKXl9PbM7deMcT94B/A34O3p +/71sdPpeSb8jUtveV+lZ6DO1Zv/+IK0F6O812+fbFrZl9gFfBh2b286pac/w +jCvks0Y7W/b2/tBMa4iWpL7PkbT+8XqNcyl0mOQKeAr3uYjjXcEXFrYNdf9Z +8LeIMQfFHvqnthNlLw6UjaJz0IdzP6eeV/adzi9ULCCxHyEf5urcslcyeEnq ++Mxmso/pvxH0AOh70K601WVT8w5nRd/qodL+nny6tql9rsmKbaS+tiW4P9dX +4I6KtxT2AXsUjsXIvnxVNnhu++EE6X7alroe3lhwU/mRmoPUWHPxc+pY0Ca0 +i+P8aJ6WJvYF5ed8WNo3e1lznnuOj5UPw/EJ4NVK++Gyzbam3cG6uUr+oPQS +bYDkBHQo1zaSnc/8BHidaTntM8bqAv0F2p5xhoH3op1emO5eWNc149oPuLYu +dX/Z1tfBbwp9H3674G/6B/QZzu8o+0t+IGMOle8je7ow1RwqhnM29GroRbID +pIuD40x9wBtDO3Ht8NS+VM/Mdqb8LsUcaorFFf6W+qbDEvtl4zVnwb5Gffi9 +S9sBsgf0bPtwXUXbm+PduH5VrW3oFbILuPZ13uU4eMfHd9T5E1PP6Q2a89Rz +Wxf7lNGPuJoxXoNepXejb1PJl9y4A7wrZUeD32T8o7nmmNRr5bzC62uQfOHC +3+Uk6M6Z7Qr5S/LL9R3lm98kOQT9hHHap/ZZ9qd/2+BxlslfyS17dyns9+he +8n1kyzeE/xLXXlzZl5RP+TDtjsQxt4/ocxp4ndy+xaWyJ6EnF/ZPD1b8hONz +5UfIL6adA94A+m5uu7oedAbtLPkd8kNpZ8ungH5GGyi7OrdvpjmWnDwxPuuu +0N1595Hg7WjXFZ77Vrnl32WyaaEf0E4BN4S+r+cDN9D9C/t2/bS2gudfuuZD +zp0KXhv6Du046SboVNqxsvmhb9OO0Z7K7RNqTUluf8nxBdqTuf1WrR35g/uU +3h+d6hyz1RyO47rnZHeA/2KeF4NvBreH3kafO8Hj6bOS41Hgzrpv3FNaU7Lj +7oO/h56x8LffCfq87B34fzPmbqn97r8Tx7Q1T0cWlpmS2/JTp9D/aK1f6IWV +YzXnBNuMeoZdc/vZR4LroA8Fx1pb8IyvMtY2jHmI7DF426e2XxW7kGzqUDqW +oVic5FnzzLa04hq/R7mptXgM1++k84XnTGPqHpvQ//zU57pkjtHpmu94jivk +C+ReD9I5kqX70d6A/0Rh+/dqcGu9H8cb0mdazfaH7JCJpW3Ya+jTRroR3vq0 +Z2MsSLJEsbjTCsvLlrltDtke40r7/tJfhzEfC+lzKfyRkoWKTYI7pfbPLtLa +yB1HaUV7WHsmc+5AOkRxH8V/PoK/MfxBqffrpML9Dyscq9bzKXazh3zoNB7T +Wut5EscfFYfU+6+ZOb/QhtYic7xaa+H00jqhXZ1jA5fLz5JtTZ9zOH8357pm +9tk7Rrks+awYuuKuX4Hfhc7RWtH3gf6c+HnlA+s5908dV9+0sIxWTuDcwnJ6 +umx8rukC/hV8Umq5rP0jP3IP3afmfIbyGrIzpV/WAI+C3lI6xqJYy2j6d6b/ +LzXPU704t5K1x0V5q3iJrr0N/iqp9fKV4CsY5zDwZZqP0rJb67mnbFNw99I6 +SNfcV3jMuijnl2kPQPfKHYNZJY4pe0r32VmyJ7V8lv68TfY4/M9r1rOyf4ZB +x0QdLV09JLWNlEUZfHSUw49x77Wge0MfgM6n/0zZRlyzKvQtzZVsTPAMxaah +86Q7Et9bentQ4niqnnGb3OMXUafcInsW+mnNcWCtEeUa2he2GXbWN4d+LRmo +/V3YhnpIMY7g55fNoJiu7tNE6522Gvhtxhws21j+QvSlnoLfM/ca6R3XidaP +1k6TxDkj2Wy9gnNgWoOKEcvH6Jg5pnpUcMxcvlKH1Had7DvFTiVjTiwdT1qs +901sQ8lulM10YFzTWs/KRem8clOyJVsnjkHuGxz31jhb89wX5/bH+xTuKxk1 +LsohybC7cl87m/ftFHyfJbHJzhGvBeNcmztGJFmnZxsBvTN3bH8B1/aL47WM +3/Cb+B2F9V0/17ykjhtDkoGp5a3k7rlRZmgu9b2+1TdNfE+948ya51z7s34c +Z9/U8We9n+b+vZrHkvyuR7ug8jxoPhRfUv6lTeHcleT3Mo7vLf0NlJd5oDBv +m8I5P+X+Opa2WYUlKw8pLRNkeyyOc79NfGY974zE/vqT0B65/fgnwN1zx8wm +gY8Ejy4s6w4vHKt7Hf4RueOFr0omy47I/0sJJBPkpwbLSPmnUwuvo17Q1WSL +wT889zxrjj9LHEd8H3pK7hjeh+DTwLPis86Ic/xV3Bc78F4TtT+gD0rugz+O ++0Z9dJ3ifB9AT839bXW/2bSNC8v+JwvHOKeAj84dp5wOPjl3/HIa+CTwJbS1 +wBNr/ob6lloPZ9An03ovvEZ6xe87hP4NoM/TfyxtTfAm2r+F8fia9+L+Ub8o +7sV0JS/AH5j/F5ZOnqtZl8ink92s+NM70ONyxx7eBR8vG0+58sQxzN48zP30 +n5M4RvWS9lnueO1U8LG547hvg4/JHZuQDSt5Nyj/L7yYvMJ969HnLfBR8OYE +6zf59b0Y/yH6fpk4v6s9Lb94r8K6oAu0jj53SnfTmgfrIPkOFzDWKuDJjP9m +Yft2n8L2vXRBJ9nm+X9p32SS4gfBMl8xkzUy5/qld0dHPax9dVThvHHvwvGk +0VrzueM0j4O7QffmpW4FP6gJpt+zkN65YwPPg/vmjkuNBR+QO+Y0Brx/7tiV +8iwHyu6r7M+npeOCGnOn3LGrEeAOuePf+hb9wdvRbwPwj9y3Xen1K9w4eA0o +trOh9hL4nZpjCS+C+0lmF7ZPjtD7FV5rsiFnxzWs/aJ8ktaOYhGKjd0L7gQd +E6wTpU8VGxsJ3i13zOweyYfc+QzpaeWnFOt6EH5X6Hl6B/BrNcfDHgDvmTuW +9gL4IPBZues1xim+UdkmqDHOenXe20cqHlPZ5sjhX669ktk/OT33vt5Xc1zz +OGeCvwyWM4rbF5l9Ztl/6wXvu/nQkDmfrLzaRsH+8nfQ9YP32tfQDYJ9qG+C +fahbGXvHOtuzC1PXUUiHyKZV7EB239ep/TQ9o/LnW8W+38X+h5WOVZxROme9 +ADyt8BqWvae6EuXYZPPPgDYJ9lW/VT4nOO7xA7RpcLxlYXDeTutKuZUBud+9 +u+Rf8DpUnkK50FfAh3L+i2CsfMo68N8Tzu1nF3GuPg1eP4pRfxa89xWflP04 +P7UtPjVYzit2/WHlfKTyrbOD5blyIs2C41Hfa+8G+8ULoO8E2xLK78wKluHK ++0wL3lP67jODdYFyPdOD95FyOu8p7pA4r7R5cFzi5+C4z0ZxPmVHyGeR7aDY +z5mp8/qK0z8C3Tt3bF5+3C7g02U3pT53S2E79GaNF2PS/7eRB8Xve3Psc1Ph +/MHAqMeVW5B8vaNwnEmxU+m53WKuTPUBytFIPzcKzkHoOuVrRkS74hvZaKXn +WD6Ocr77gS+MunhC1Md3xHvdrjVT2veRXyNf6/y43h4oLTvPLB2PUXymRZyb +RXF+lBdRDEp5kkOiPzizsC0pv0Nr8bfUMSzd/+PCdSLK6R8an0n5U43zYxxL +NSaLU9t2Hxau6VBMbOtYI6OaGN1PfZUfV25F8lj54p1inFt6ZFT0HRZBt4g1 +LLJjdo35UsXm2mS212Uv/1g4Ni+bv0N8Dj3DZpntHtk38h2fiDL/k2C5rVzk +28EyXzFY+c/yo1U/oxxiO8Z7AjoouE5ANTanBdctqIbkpOBaAtXkdJbiS10j +cUpwPYPqeY4LrlVQPc85lXXU29BbUsetNSeK/72aOhagWg7Z/6qjUM3aUM63 +gF4fnAdX3dH5wfUMqiMaEVwfolqgVyvHblTndg/8wYnrjrbKbJfLJpccUuz0 +L/CFwTUSqnfqUdqne6N03Efxnx2lu+hzd+KchfzXL1OvuYnBOkv5mheDdYdy +LtIJ01J/vx0z1wDI9/ugckxE9Ruq49Be3i93rFV6WbV4NzDOGYnrsp4P1jXK +78xJXeMlPX136lyB9pR8C9VtNI7PNTM+2wvBOkv5o5HBNTPK10vnz4p9LoN/ +VOL6Lvnz8usVF34zWO8r5j8jWGcpT60Yjb7Pd9AuMT4+unT84O/UMamuwb6w +cq/SCfOi3OjG8Z6J9f7ewX60DKXva87nDpHsgt8e/E+wrJ0b5e1ewf7yv8Fx ++r9om9NkNKoOSzHolfF4y7jXQ9RxWwTHdX+B7hKcR/g7ODetdSC9pLq4P1Lr +HcVjVsTx9U5/xvfSPZdH/s7BuYm/oK2CfeSlik0G10gsgW4X7FstD65tkA+u +ugLVGMi/P7p0DYP2rnLcbTPHyNRvSrDvoLzbpZw7NHW9h3z2qan99rfo81ji +nOBDlWNnoXQsZE5cJzsF1xr9Cd06OKb6q3zHYN95sZ6RthX4d8nk4DqlFTqf +uZ5HftT3hWstFbdsEeyz/xacE3gjtU+uOJXiLYqxrB/zWqpBlY0rW1f1Noo/ +PZLaxn+PZ51Lv9UkQ6IvJp+sWfQBNMY9HA+Ehsq5jLNT568Vc2iVOe6g+hI9 +q55zPOfWlTGkPFJcn1qnyiNKhkp+LpCcz7yGpb+kg6SLVlfNQuZ4TMPMcSj5 +DUsUt1HNS2ldp3iTfFfleiVTJE8kU5tklquSZ5L1kmnTueZr8Bo8z7fcr1lm +Hfc5/GNUQ1haxyp2Jh3bK/p3dxXOASq+Jhsv0HdQjK/Jwbkkcw2n/EHtWdXz +rkqfSzPvxf3AC2JOS7FizZPie6ot3F01hND6mf0B6R7Z/3onxdAUZ1P8T3aa +9IbinvKZVdOpmKZ0rOKMspklSxQzV7xIcf2x0jmZYwHjo+6R3lHsflG0I16U +bOX6rPIakN6U/jxQPnzmfTxH/m3m+KFij6vH7zKZ/m+AV1XemXM7ZNaPygFL +d0pvSr+8E2W46kqV71GOR7pReRrZAqfT5yno8/R5gXYf/LrKe6td5v21MOoC +6QTpZOUqukW5K5tGsve/WrfU8ZtzSts9yrMp1yu5L5mvfaBYv+LXyhmp/lP7 +RP6X4qGaQ+Wtd8nsyylvLR0v/a5YjWLHsrWluxTfVFzpfu5xmXI8lWtmJLuP +L+3nyN+ZX/hYfNV1aI+2zrxPv+bcepn7zObccs1b5X2pPae9p3onrX3V/n1F +vwaZ4xWfRptKtpXsu7Uz23jSPz1j3kr5R9XKKl+luN8BmWN/qu1WfFlr6wfG +2jZzDkhyRflXyV3FH/bPHIP4lXPdMufsfi69DlTT9wVtKfz6PPNv4FVYN3+X +jtcp7qec4Wu05vKLqlgzw7XfQmcx1iqZbTzF6pUjk82nmIx0qmLv2g/SxYq5 +3BP3/P/rZCbDmxscX1fOTnNdcJ9zYgy6LXhGjHGrNu9Y6PX6LqX1hvKbqus7 +CnwddEBpfaW8qnzVe1LHUtZmnJsYZ1Rq2atv92fh2irFBVTDthZ9ro85JO0L +zfv3pdeZeB9HuXtvlL2KZ6iGSzWWqvORXa/aJOVtx6Suh2+aeY0qzqjaJFHt +EZ3X3ta+1t5Rjfwtlff6uMgfGb+f7itZqPUtedie5/w8s/+k2OazqW39OfGZ +9DyqlVIcr19p2121+ootaq0pBqL4xai4nhRDlu2smjHljlVnKztScV3VjCmW +e2TpuRwV+6uG89bU8dx6imVnzjueCF6WOeea8V2XQGfTp4J/YeZ8z42la/O7 +4/9eUzhPei20K33mxXyD/KYzUvvJqjE5FXxD4dzrSbG/4vaHp66lVM3/KbFP +f8b5KbMPqvoRrY0r4f9LmwPv/cJ6RPl+1dHtQ/9vMudpVgNfnjk2oFqIofTd +q85+h3yc5YXrULQOh4FX0mZlrhUvufb8zP6S8rnK+Sq/2ye379wVvDp9hma2 +pxqDb89cN6Z8ruorzi9ch6a87h7cdwP6jMxc06aah36xz2nwV8BvlFm2S8+u +KKxvpHekU9egz7DMufmUb/Er+IvC9TvyARXfUKxbtRWqvVUtwSEcD4bm9L9F +9wW/yfNszVgF67MGfzj8+2WTwBuRub5Nck95LNUZDiyciz+ncFxROXrl7GV3 +ySbtUud80IGxz6vB8RzVU6l27Eb5PtDBwTll1QFKdsmW0383NwXnlzeG/4/s +oprjfzcH53mblq6jUG5UdQr3BY+petd9ZJMlrsl5ObjmWfVvtwTnv5qBVzLW +v7T9JEOD6wBVFzSicnxf/4D8xbm/afvSbg3OP27CtfcH521VZ6sg0uM1xz5l +q2ifjoEuLy0XVKOoeh/ldpRzV2xT8bONoE8H53lV86YabMUcVBPYOfgfGdUj +jQquU1Vtz1PS/zXrhqeCc8GqwesS/H+NapxUZ6RaANXH3A3/2sT1osMVk9J9 +wTdVrvuR7d1RNm7i2jzVdeu5NuTb3VW5dlk2/52V80ay22+uXE8ju/eOyrko +2clNeK4HMsu7ayrHrBVjub1yXYJs442UZ81s49xauUZEdv5o+GnNOuzH0rUd +qskfXrn2Qrb3XcF5281L2zDyE1Vvdmdwzrd5af0ov171csqnKz6jWsoT6NMn +8b8w+r9HfpP8pxsr1yHJ77i2ctxc/s71lWtiZKt3CP5XSPVgN1Su1ZD9L59d +Pm5b5uoP6eSa9b3sZPnjqqscFuwLN6bv6cF1BarFPTW4rkD1sUODax4aye4K +rpdYt7S9IV2pPXh5cL3E2qXrklVHoXrgk4NrElRze0VwHcU60nG5ax4ku64J +rk/YAP55wXzV4spmke2ivX+QYmGJ46WPBNcAqI70Uc174prP+aXzyvpn5Nrg +XPCGsseD6wQK6W3wgMT+1PHBNQaqDT4wuOZBNcOSWbINVM/ZN7huQfHb//57 +SSyLdy8dY1Cu9vPoY/xSulZBMn4p9ILgGg/VJ//J+dO5fl3ZgvBPAM+l3x/R +Xlf9rWrolHtUHkT/n8j/uKJw7bZqJRSv0f8pim/oHz7VSyrXLnku+6eKclX1 +evJDVbejvLByx4eC1+G+p0q3Fa7RW5A4L6N8n3JefeJ7qZ6udZ1rDGTrqU5p +QvD/F6rXVd2IxlReegj80+E3BF8UXKOi2mnVXSr3r5jtYp7r6JrtftX4qwZj +68L/8ijup38KG2q90efLwrX2yp22KpwXUD3yVnXO/UkntKxzXk+2xDjoitLx +Mv0vMDr4fxbVwU6pXJOh/+P0n9wt8gehQyrn4RQPv7RyPknxcPmqW2b+j0w5 +EeXlVYsoO0H/9OnfvumpfQDZ/4cE/+ukesgHgmNZqoWWva//JmXzPw7/usS1 +u3dXzrsrBjKtcm2N/p3UP5T306dLbttcMXPltK6snBNSPHxk5f+LFCd5Jvhd +VIv7WPC/J6r17R/8r5Nqdy+vnK9SjP2KynkL5QKGVs4hKV59SeVchXIHz1Wu +SdJ+UY2H3lO5qpcr1zxJH71SuV5K+uVgrumauKb6yOD/yFRXPKZy7Y7kwIDg +f8r07+GDleuKtAf7Bf+HpbrrV4LfXf+YvFi57kr69PXKdUuSmZMq13ZIrr5U +uR5LuvWI4P2oWuvnK9dINYE/sXJNleSJahVkZ74hvReck1Ld8vjKdVSSY+Mq +11FJvr1QuYZMOmhs5ZoqyasJlevDJCdfC84HqU5b/kuPuPevC66r0TP0CP5X +VHW5ae6YqtazYhctM/ss8is7ZK5DLqRnM+vl7sH/nKpGV77q9pnt/6U1rzft +nWGV6y2Ug3gi+D8j1XhfVbnWQfmU/wH/UXg9 + "]], Polygon3DBox[CompressedData[" +1:eJw1nAXY3ETbhXc3m2SLuxSXFve2QIECBYoUd3d3d7fi7u7uVlw/3F0Kxd3d +4b9vTv7rYsiczEQ2yTxyzvN2uk13WnXHTqvVWrjbavFfa66q1ZqC7TGAU3ut +1p5Fq3UuE65rt1pTs12OfScwPh/jRZ9Wa3bmTwYeAT6JsXloK4F/47gv6U/F +eA3em/HDwbOCJwEfAT4BPIh5r3Hetzn/aNqJ4BHgEfTnZ3t2J/fgta9l30D6 +r9B/i/47tKU5x5Gcbw7O1+Z+/i45N+NHMPYl/RXZdw7bycEvcu3VOP4Txn8D +/0k7HXws+Fj6i7C9Cjwp7XLwyuA5OGZyzn8U5z+Za63Dvv0Yn4HtPu3MPYn+ +he0cs46/G/wv/TbbDcHfsO3SKq8Dvp/tE4zPx/Yg8DVs7wTPxHYx8NtsPwF/ +Rlub/t7sm5btXuD9vTf6t9Gfke1Z4OPZHg9ejO0U3C8/t7UH93so93sK40ez +/2jGB/sMwQVtDfrvMu9K+n938lvfAS8EfpP++8z/kHY3L+8mttP5zOgfysk3 +AG9IO4z+fFxjFY77g+O+pr8s7XjwvFy/w7M/lf3j0o5h/kJeh/FzGR/CeB/G +1+ec0zB2E+c6jbHDmHuQz4V9s7Gdhf0/Mn868K301+L3LQW+nuMvZf7BzD+A +eQcwPjPbT8ELMf4d7WzmDGD+dPSPp38689+r81u+95unf2knz9RneavPl2us +y3Y92gH0X2dOH8bmBL9G/0z6uzN/SrZXs+8StlMXOfYW2lfMWZx9K9K/gv6E +XHMvxqfxeYMvoR3G2Dzg3+mvzviF3MtQ7m9snsdM3O+E4EPAxzG2L8fu03xr +07NdmPFZGD+D8XMZv51zXOm1fD70l2ffSYwPZLzkfMPBJ4IHuL7B13O+Lm1N +zvUB+3ejf4bfPcdPwXY2zj8p+49k/okcuxrtAvDi4LE4fhXweeBFwWOAD+D4 +/VwTHN+PbX+On4Dxgxk/lrl/8gw/YP93jL9M/1Dm3wi+FzxrJ89mr+bb9hmt +yTGXcPwwjh+X868KPh+8GHhM8Jqcf0nwdeBLGFsDvAT4WvDFfu+cYzfapZzv +Ym0W+2Zk/GWu8wb9ndnuyvj5jE3GdnqOH4vxAzj+aMaXBg8EXwS+ANzuxQZp +e+7k+Y6iTQSeB7wV/YU53/ngG8AfaVPYdyD4QPrfOZfxXcDngS+iDeP8Azj/ +hZz/fM49DZif1doXfKT2kjYD+CWOe53+dIyPCd6f8aPAC4D7gU8BnwkeDJ4J +fBr4bPB2HLcz1zuXa03I9lee+Tn0x3F9aweZMzHzH9CO0l+G4weBL+b4C12/ +4PnBl4AvAg9h3lYce0o7NuktftN44LnpX0b/HMYnoF0AHsr+n7nGqdpe2guu +Xeac0M6a+JJ+X38j53+GY16lP4DtFoyd1I4PWBb8Hvgb+t/7/rgfprX24X6O +8H4Z34bx09r5pj7knLNrN32+dd79DcxZvfkGDmDfGmz34F6O4fgNGPuKsQ6t +pC3BvoM4fz/O/zf9JbUp4P7gf+ivwPxtmXc65/iZtip4O/AZ9P+gTcv9jcH8 +/Zg/opffMgVzrm/nN43m+pOwbz79Ff2rGWvRVmXfaLpfd3JP3ktB+9o1zHZZ +5j9W51uduMi37De7K/0/Ovl2+9ImAZ/cybd1CW1z+pMXsU0n0vpW8eu7879D +tAXaL9pl7byz05j7LPgV+guznbDIOTxWn7YUxxzC8TNx/L/6dsY/7uRZ/Epb +HfxZJ8/iL9rJ4CfAL9BfkO2CXL8/x5/K8Wdx/ELgmcGng88BX1PkN3jvPpM5 +Ge/L+NGMn8L4X7y3Xzv5lt+jvzZzP6f/N/NbbI9sfKy+9Uj2bULfgObsduy2 +v/U69q3W/OZP6tjeytiB/j+048DHgX+os5an1Ea1s6Y3pf8t+2raGH43RWyo +ttNv7NM6frwPc5ejP3n13+tt7cb9H8z9v1ln7blmftV/MPgS/TeYvyjbI8C3 +sX0QPEcnNkZbcw3tDvr30G72udJ+oj9Yu6AvAX9A2x78M3j8TuySPkY7+o2+ +nP6ijL/ViW36lDYD9zc2Y1PxLGfF8NzEnLPYfwb7tqA/Lm17+hNw/9dx/48x +72XGJ6Y9Sv9O2l1++8y5jP74zN+R/kTMv4H597DvHsb/Zt/dZdbqDNzDfe2s +2QmYvxNjEzP/RubfzPiMjD/A2P202znmjnbW/0v0p2b+Acyfgfl3MX+M5hjn +vsjYVLT9GZ+e8TsZm9n3CZ4H/Ah4PPAO4AnB14MnAe8Onhx8K3ht2mXgZcDj +8zzuq3Puf9m3sb6c5zWX65t7WZLxydm3F3hK5t/BsZOB9wRPAb4d/DD4SY4/ +U3tB/yiO34bxBYyVOH5S9u0B7sv827TF2izwZOBbwFOC9zPeAY/0efJbZ+b5 +PK49oN3Fee5m+yPtFfr9mX+McTvzH2L+TOBjwXODHwavW+QcHqvNW5n7GaJ/ +5thh3M9zncTAxr6vMmcDtiPAc7E9xO9fWwce0kmMfBH95Wk/0V+GfWNyva05 +3zhc7xqu95GxD+O/tDOnw/iqTXyof96kk5jQWNCY9OVOYlhj1zf1GZ2sEdfG +636zncTsxuq/006v8vzf5HoP6Cs5/xHgWcH3g5/uxKZpy/xuH6qzNmvvl/65 +jM1HGwVewnXHvkfoP+z3R/+BOv3C317H1s/E/Efbsfnbc40H/Ta43kx94hv6 +Mf5QOz5iz05yGnOZPY3ZOMfhzJ+F+fdx7Njc/zSM387YbbyDaY2pG/t6j/7e ++BA8M/he8MXMXaXIb1+Wc2/HvgcY34jx/lx/B/BD4E3AM3s/4PvBG4L7gefj +etOC9+JaS4A/aeK7h4r40++aeML4yHxsIHh68Akcfwb49yZeea9IvDEzeCLw +oYwfD/60yf8eKRK/bEy7Cbwq45Nzvd8Ynxs8qkj8vYnrF7wa430Z/7jJB41H +zA+HNvPPYfw88PeN/3ilSDz6RxOfvV/En/zVxCsfFvEn3zTx/nNF4s9vm9/z +fJF4+mfwrOA3iuS3nzX53aNF/PcXTf77ZJF4cEow/7X25H4OA//UxN+vF/FP +Pzb+7LUi+eFTZb5b880n6f/N+AKMf1QkXv+hiddeLZIvP15m3U2izaf/ZxOP +fVAknju0Ex+rbz3Ub5J9t+h7uJ8pzK+0b+w/i30r14n95imylowBP2ji8duL ++KNHuMaL2mHa1fQ/bPKNkUXig4+a93tXkfzxCea81k4M8z79HbVxjG/K9Wfh ++luD7wWvB54e/D/mvNSOP3qX/lbaMMbXZXw6xrcE3w1eBzwteBvwfeD1wTOA +N+K6D3LsU+343Ef5Tc+246N+ob8F8+9i/trMn4b5G4CvB68IngS8uWuV455j +/ljGBozfwPhKjE/aJ2OzM+f5duaMx++do8gz8dlsxvxbmb8G86dk/jrgq8HL +gScwXwVfB14BPLHXA98JXgs8Nfhz7vEZzjU27bM6v2VWzv90O79pXWMe5g9n +/oTMXw98LXh58ETgwzvhEOQODvcb6iSHN3f3Hv9t8p9viuQns9IWB38F/oj+ +MWzHKnLsvBxzhfGrMbp22Tihl5jBWGFUE/vsAJ64iYFmZnxRzveFMQ79Z+vE +4TPoG+g/zTN6j/5Uxpr0V+F+VmD+Fdz/Utz/bK5h41rjRPqz0BYDfwn+sJdc +aCf6kzY50fH0xy4Suw00bqzj2/rRnqdf9+KT9EUXgzfmeutzvlu53jJc740y +cfNsjO9E/2r6F3C+YZ1wKpexPR+8VCecya2d+LBlmphrJMeM1Ldwzjvo38D+ +CxlfupMc9Q/2zd2Jj7iP/uzmiMz9njmf0J+btiL4V/AX5otFOBa5FWPO241L +wXN24iPmNMdi7EfjZvrndOKT9EXXNT5B3/ALcy6lf0GZdT8zbWv66/ksmD9L +J5zHbXVy/09dE/RH1okdv3TN0b+qE45JbsnfeW0nnIlciXHc9Z3k5Obixm1d +/UsnMYyxzI11YpkRnG8z8z3jFWNT8JpyQ51wNnI1xnhXdMIJyAX4O66tE7vO +oY2g/zv7d2F88k6+Abm53RmflLYy/XPL+M0paZvRH7eXmN5Y/lWOv7DMtz2r +vpj+HuZORY6Zijm/ewzbsWlv07+MsY1pvU7yqo/rfEsd2kfGZ+zbjPEx2R5l +3KYNZXulNpb+500+8niR/Hte2srg380j6a8mx8P85bnWgnyPKxlDG2uA5wef +pM30vBxzotwS1zmQY/t3wpmcRH+cItdegH1zmOMy9wf2fWq8y/m2Ao/N9341 +uA94S/BY4Kt6+bYXca21841P1AvHOF+Tm7zRSc5gruC6fZ17+IftLLQdyrzr +4xgf0Lzzh9ieAB7Uic3qaXO53phc78peszbMidpZIxt1soZdu3Ku+3bCYcpd +7kvbuxNOUS5xb1rF+TblfH043+WcrwRvAu6BL9P/dpLjmdt5n23GhwG/K8JH +SCbL/31bhK+4hO2aReYu5zENH6T9kV/ZvQ5XMR5tlYabWY6xH9rhaLpycMz/ +qwifWIM3B4/B/VwBLsCrgf8swjdt3Mk7813JUY/dC2ehjdRWPtZJDmzuq485 +vROORG5Ejm0t5l/K+Zbm/OPxfczKMaeAB4EfZezfTjgCuYFV6G/D+PTG0uBF +6nDPdZFnKwctN1wVebZyxN8z5+B2OJEP6I8hf1TEhnzG+56LayzHuX5i3+f0 +N2J8PfAtXH/uPvk2e7T92/lGfzLv6YQDvpn+L7Thnfi4B80HO4lRjU3/x76/ +OuGU5ZJXch7tcvAKnXAM03LN2Rl7i31v0e9PGwz+BPwe/Rcbn6WvMkfux74F +Gf9Ym0r/N675Ffu/0D8YO3WiCagFGNPvD14K/HU7v2GmXvhgeeH3zRdcw+B3 +PYb+NLTZzCeMmejPSJuviXdHm5/1YkO0HXIzixfhfOV6Pze+Z3we5o9m/9ue +z28MPCPP827w5lXynzub73sl2unghcA9nvc9VeKXPxt+9a4q8cDvDb96d5V4 +44+G/7y3SjzzV8MXP1Alnpb0ly99qEr80imTzz5YJV5sl/nenqoSr9Vl4qWn +q8RfvTLx0f1V4vd/Of844Geq5BNjMD4Z+Nkq+ceYZeJ7OV3XkmtKrtcYzlhu +A9qM+mfmP838icrEh6PBL4KnKBM/vgl+BjxJmfnvgF8A9y2Tz7wNfh48eZl8 +6y3ws+BJy+Q3o8DPgScrkw89WSXerMrEZ89VydfGKpNvPFEl/izLxFuPVonf +ijLx3aTmBOYv4NnAU4C/0pfr+8GbsOXntj43Bi6jMQ1obKja02b87rfND2jj +es9ltIY1OWhG+k8xb5TxfysczOJ8L7/Rn9O1qZ7G9mfjY32+OVuZWHI72mJq +JHX8yZKNf1m1jm0bBl4AvFAZ3+ZNyjnImU3cxHhyaSOrxJ+/NfrLUH5f17iU +sYHg3Rhvg7fyd4GH9HKudcDzgpcB98DrgQcZv7Pd1ufJvm29X+7nL/B89Odh +/PEq8Xq3TLw7pI4tmxU8B/j5Kvnr2GXymVfAj4PHKxNPn1OF/3m34XOOq8I3 +vdjwQcdX4ZNeatbbyVX4lFebfPqsKnzKOw0/cnYVvmh0w4+cxP1sy70fy/Ue +NH6uwn893/Avx1bhj15o+KXTqvA9bzR8wylV+KTXmnz91Cr8zutNvq/eqf5w +eDd8+/Aq/v3SbuzZClXiwcu6sX/zVLGPx3bDj5vHTmd+0U4OL/+vfTq5Gz1j +UBX7cyL4NePtKvrBYeCXwfNXsXcndaMnHFjF3z4Kvgn8QpV8bpwy+c6IKnzO +0w2/dUSVeOPJhq+6qAo/8VHjr64Hn6x/Bj9trlXFn30PfgZ8ZRU+6kvwU+BV +q8TLV3aTX7wGfhI8QZl8cPUq8dXV3eQzr4OfAk9YJn98FfwEePwy+d8VVfiv +L5j/JPO35H3OwbN6gPEneuH15PfGMqZW46jCt3xI/3/m11X8/eMN/3Z4lXjn +iYYfvLgKf/Mx+DHw7eCzwb+Cn/P9c52d2okZT6V/Jm3XdmLks8rY64uY/zfz +n2f+UmXiw7mMr+kfWSW+e6rhD1erop9f1U2+dJTxEXML8I/N/e7K+GPg33vJ +4cztfmlyu63rxNXG1+oNxiTGau93EqtsWIeX+6XJr4Y1+dJQc1Rjq7rJUzqJ +j+XE7qDfvwhXJqe5PXiWIvmBHKxa+spFuFn505na2eeY/PLs7ejfrzT8mrGn +/P1LdWKUwz22SOxyaZ1Y2HhcvdX4epfm+Rqb70T7pxV9WL1n+zpctLnQhfRX +dI2CB/N86j7JX8wV1ONfdq3XyfXMDe+tw5er1ZzXiVa7Qp241/jX/N33bS7g +Oz6jTj4zdTv6+FN18q8p2qlHeKKOzdR2Lu491+F8FyzDWcoF6+P0jfpUfZ8+ +dZVufK6+VhusLfaezbeWBh9Rhk/fsErOe2SZNWQuLIerJr98K9yuOfghZXJ4 +c/OpwNOU8UeD6nD+U5fhuNQCtOnadvPLTepoDFvy26cqoj3sRhu/HT1HPWqP +OlqAsdzjdTiZHcy/i3A1t1bJdfRR+qo5Of9BnH998KJ1Ysx5y3AGxp76WH2t ++d46dXysvtZnvF6Tz8o1qHc8Sf9/VXJP19jZTT5q7mgOeR79vepwaXLVl/u+ +qujHX3dTr3JZlfjrs27qRRYt48/GoO1YhkfXnmwPPr6MfVOf/7YbPf3mKvH7 +T833dUsV+/JzE8/dVEW//hFcga+rop9/043+fnUV/fyrbuojTqyiN74M/oPv +b1PwhuDbu6mfWQe8JviGbviG9cBrgW/sJj9cuAxXvTltfPatz/jajN/UDb+g +Pm59xjXd8DEbgNcB39xN/L8JeAPwbd3wF5uBNwLf0U1+a/y6MXhkN/Udl1ZZ +X5+CFa7PqFJ/8xb4r8b/HgJ+BfwneEgZ7n0rY385LvNr4z36N/fS9EMT1hmT +05+tG05frv9a8IAyMcVYjK/ENa8sw7VfV0dTPptvb/wiWrM1EKfyPU5WpDZC +De0scN8i2tq+tL7t1MtYn6HP1/cfpQ2Ry6mSH13eTb4gB/1ZEc1EbtocwLXw +eCe5wQVV6ive70Yv1r9Yf/FBN3qpOo7xxzYcczTXOa9K/dR73ejNcugvFOGo +5dbVqNWqpwHv20sOr/Zzb5Pby8m/XYQjl6u3ZsbaGbXKnXvhqO8twuHKXVtv +IB93QTf5zJAq+daZ3eQ7o5pzWfOixtWfNth3RVtD/1VGm1Ojq6rYCuPBoe3w +UcZ/S7Rj88fznGW4FjmXdhVO6lMO2YWxheVL63wPb4MXA68Fngy8Isct1Cec +ldzVQYwvYr5R5Fks2A7feD3tJfAA8A30r6U9Ap7X74H+WmXqAtQar2jwjO3k +KOYqa5bJ28zfrCdSY1RrtOZggirj1hqZY75YhsPehnt4qhNuW1tlfjCoHX7K +fGCg5/Z5l8lJRzN3ySK56jNluBk5mn/oP1tGh1WPXb2MxuT6fZbfuyi/93L2 +rdvKPXv/2qdh7fhQY+79mb8K/V2ZP5T5u9apTdpAn6Ptr1OfpU/QN0zDvH04 +31Lt8D3WNFnbpD0+kP6c3Xz7S7fDn67hOjSf8zvg+O3YLtlOzdIX5iZFar+8 +hpzv6XV8o3HQ8n0SA+mr9dmnlfFl5heeQ77u3Dq2Wt7P2rxON1zvn61wEN+W +uVfr476jf6L+iP5zjC3H/OPBm4EfBC8LPquOLzDuWkH+HLxROz5T32ncZPy0 +cTucsZqu2u4D9If0aTQNftPznWgdcpD6EzWPJ5v3ZX2a7/A5cxbawq3Uw8jP +XlyGB1rG9Uf/gzLfpjUvH9L/iPZDKxr+x/QvKsOTDWv8zauuuXY4m9fKhqPp +RIOVu5kHPLyVmhr1dmtqlmBs605qbRYpw7u4Bs2/7i/z7KwxHIfjPymTz7mG +P6U/N+3XVjR2+W415OGc77pOtOWBZd6FGrP6vXy0v9UaILVL18sw5l/ZiVZv +fZ5ryZzV3PUr2jjtaDZfl4l31VmMIeREB5fh3Y2PjJP83l2rxnSD6E9fhidz +TW3arHfrXt5ifNpmvatracNXaZ63dTDWw2xM/0bP10ldm/VsG5WpHTm3sQ+u +Z7UpayYmrjKu7TBHNlf2HJ7r/Ma+uEZdq9pX7ezaZWpf9D9XNe/POhj3ObZh +mdheDnp0mRoHax3MWQ/geuuX0bXUgsxR3ipTV+I+x9SgrF2xhkVtypqtLfkt +O3VSy7WC76SVmi71Qn2g+b55v75xWZ9pK+dQ3zuvTO2gNn2LMpz4j5xrqyJc +uferTuY7Mh+Rx5bPVsN7tLk/8ylt+qgyNRDWSC7SSm2E/ltfbg5+UJUaEGtB +zJn3q8IZXsix5xXhEv0+5m+4U9eOepK2XY7xmzLrf7mG+5WrVpNWmzaHNpeW +A5YLXqqVWjU1VLXU/q3UIsv5yv3q8/R9csRyxWpm1rrJWT7M+S8twmWqH2n7 +5DS/b9ansaCcjtzOVXVqoaynWrCOf97d76Kd2rJr6tR5mUNYb+N6lAtRM/q8 +jGY0Um2hiJakPVWXU8NQy3B9Wvfjmhjc2AvrPH1nvjv1H32tNkHboOan9ifH +ba3isQ1HMG0rtZdy2HLZctbWylpzYe2FMaCx4La8m21oE5fh3GYo429X1T4W +0YnVi/19uzE2XRn/vZI23fdfRc87rxu+c4kquca54FHmt1X0yPO74VcXq8K/ +ntVt+N4ytbnaRL9H68OtR9yL8Zd6qTGQe5XjkOtQ81f779dKbaoau1r7TK3U +ZqvBq8XP3ErtmPFQP7+jVmqL1fjV+tXsrW0/vYl5rOmxNlhNXm3eGgJra60p +sLbAmgdr19Tg1eKtObDW0hoDaw3U6K1lUxNQG5DjtTbVmgFrB9SMrC215uD5 +hsOxtlcNSS3JmgNrO62ZsXZGDmDnJt4dtxsOZvde1re2xpzc3FzNR+1nC3OU +KpqQ2pAczY5VODFrpeS45MpGNjHovq1wW3Ik1vpbLyB3IiezSDechlyNGo9a +j5zI1lU4a7UZcwBzATUbtZtNfH+u9zp1MdbHWE8nh2ItkxyFXIU2Qc7ppibW +l1OydkoOTa5JTslaKDk0uSY5F2uz5PDkYtRg1GI2A29bpSbN2rTt/GaqcCbW +Xsm5yaXI+SzO+x+zHS5IjmbZbnJ4c3k5qSW64WTkquSsrL02xzPXs4bFWhZr +ZKzN/YFzrdWJzqi+KIdojnh0K9yiNTTW0ljDYq2qNSTWklgTY22oNS3WtviN ++61bg+EaG7+VWkFrLkY2a85aTWsurL2wJsNa/v84yTL5g1ylNWzWsslR7lOF +k5y+yTHkKuVIrX2Tc5M7leOyFtycxNxEzk6tSc5OLk9Oa/5uODu5LjlLa5Xk ++OQy5TStRZIzk+uU87TWSk5MLtR4Xu3d+jLrq+Rg1T7kbOVm5WCtbTqkldxQ +znXuJseWizVmM3a7HfxIFR+mL9tGf9ILpyO3o969XZ2cTC3HGMxcTY7ZuMH4 +Qe7548b+L9HYO/lmtfSF29HP5BS/avyDXKM26t3G3mi75CStfdDGyVWObuzR +gMafyNGqVWnT5G6H1+EW5QDkAh6p49vlkOSSrPE/mvmHdVL7/0rzPUzS+DM5 +YLUtczK5YfkR42BjsKF18uu9W4mhh9XJgc2FjRk3qmOD1Z7keLXNbzT+sl9j +P4f3CY8hn3FyHU3J2n05EbUmNafFm+9fLcp8wlhWDk4u7jbXYCucpfVFcpLW +cmjj5SrV2dTb3lXrq5NTqqXJYZtravPV+tT/9QVyWHJZi5qP1OG4rQWfuhXu +W75M3cIcc8k6nPVLjf+Xy5Zf27KMZqlWMXsdvmmOZr2LXfuuz8ur1P/5bZpD +W5+7ay/xtHG1estcZfQXc662dtIYr52/OVF/ma2MXuExaqa79PLtmQeoX+xZ +pr5cf6O+o03U997Vja18Dzwe+OYi+a/xgrW5/t6r6R9XRn/wntV3duvlXvym +/bbVaPxbGTkjtRs5IGtPlmmFG/qqSn5snmy+bLzyhe9Le16H7xrRCse1rGuh +yr0aL1gbqCZn7ZYaoFqd/KC6lPrUgDqcodzhGz5/+VLmvNlK7c7NDb9nTiGn +ul8vz9RnKyertjUp819pJYbyfnzH/nY1tcF1OHFrs9Q05cq/rHLt12gDGb+r +TuxtPbZ/r+Mz99m7pl3bcp5yn+Y0i9X5uxz/PmcPY3jwjFWehTn7AnVqsLc2 +Fu2kNtv6gOXa+fsk/55h0SZnlqM2N5ejMEfWxmnrzLGHllkjrhU1R2sxH2xF +i1SjtDb0oVa0SzVOa+XkKNQ+5X+Nu4y/1ErlUOVS1ce/qcNZyl1ab7tnHc7U +XN2c/eA6mqi1nmo2aqVqmtZSqvGqdZojy7PJt5k7q6lZK6gmrNZmzixPKF9o +Lq3mY62bOYVa0NFVfKs59wl1NGQ1FHMKteVfq8ROrpGD9Pd1vgU1B7UHNRxr ++9Rg1XbUaKzVU3NVu1HDsRZQDVptR43P2jk1QrW/fTjHCu1oGv59jfbV2nRz +yhXr1LCqg6mHHVhHAzWvNL+Ub5YTMY41npUr8X6da/xlvKdmbG2sGrZa8tdV +1sIaTTwvNvbVHxtPT1b9V4ryH+eyXx0N3r9FktNVm1dTt5ZD+6/WfjRzNm0n +59Y+9avju/dr4gVrhMyx5NAP7IXzMo81n5UL00ZoK9QU5M7kxOXGzTG0F/4N +3j6MX9TJ3+Yt0OR81nOqBat5W5toTYFauD5V32pOZz2TnI45pBy5XI+cv9y/ +Mdz1dTRxaxGtOVArlyOR15PfkztRw7V20RoFtd2XjDFa4UysB/NvLK199R3u +Xad+Rd9rLcYFjf2ZsxVOxfjcGoQVm/VvbYL6hbzSfxxWnZoG/xZMzt1ah6Ma +/sZnfEyd56ut37aJj3wGPgvXtPU+h9Xxpf9xQnVqJoY28d+9zfvSl2zSnM8a +AGs91citDZDTktvSB+oL/5+TVJOQq1y6jP7u+nEdWUOhPbuxldoK9Zr/eCfm +jKhTM2FttDUb1lIcWWfMe1AP2auXteY79d2q36zZTY3CTr1wzP2beEruWZug +bRjS2D85Zf+W6eBWuObfmvjdeN04/Ide/Jw+ZhfwsXXqKbvs+6kXHlE+0XtQ +L9X+aFu18dp642t5C2OcPXvh2Xy2PmO5o2fZtyTHXQy+kfM/Dl4AfCr4kioc +v1z/wca+zXr3b+n8Rvdu/KG1DnKS8vLj1LFH4zd8n/bGv6Xym9P/mHO+U0QD +NxddrJfcwxxE/WFR2i5+n93oK2oyC3ajYajVTFEnN5q24RfVXPzbZTVotZhZ +6sTKxtDG0rPV+S3GzMbO3/da//2BlZrKTlU0FGtB1XDVVrSx2lprJI6rY5O1 +zXKy2tejythaf6N5zQscv3Lz/dynvQXXTf61fxXNd4wmPzO/2rFOba4+cIfG +XuhfD+xGW9uisZ+fd1Ov8WJjD84uw7/OUScXtIb8FPorleHj5dh35pgXe6nn +ua/5ntV4pu4mJjU29ZsZUYaT9Vt6v05d3ZB24nU1otm70YjUjtRrHfutiQ/U +Yxdph09aqYrGLWfrN7kH/X168Z3aSG2l8Zm1MdqQfcrcv7Gt+YT57PAy/LXH +6He1b97rM91ondZIvFikRsLaCTVW46NR3Wiv6sv+LaExtvmEGohaiDGff0/s +/c1fxgZpi6yxuK/J76y92KUOt6nGrtauhmnse1w32ubPzC+70fj2Zv4vfpPd +aG77VuFA7inyN/NTNc/XtalGtz/9vXuxNdpwbbnv31hajd/67AV6+RZd4651 +NT7jVuNXtb+5mHNOKzm/ub9r1O/5h27WrjGz9tScwdxhzjrcgJyB3IH7TigT +czt3njpr3Zza3HruOrZVG2tuvWAv9+5v9rerHw9vx54+XEUD9W/F1cTURvXv +e5d5v8anxp8jW7GB2kI1W//W33dmbKvmai2d37j5lxrtwCa/NZ9Xo7UWQM33 +5sYfXum3Wyb3HLvO2tTH6es2bOLJw8voB4N7eVe+I9/Vv00+az5sPj1jHVtl +jGisaH5m7iqHI5cjP+LfGvoN6l/71ln7xpjGmvOCr2qFo5CrcM37PP9pbMGf +DZ8iH2L+rA3Tlmnj1I7nq2Mr9DnG0voo1/PJZXzXQr18W9oQbYlr2Pl9yqxt +NekBDT+gVq1+vnw7a8j4YFAvevO/fEPf0R9AWwP8N/ibXmyKupT6lLbmW31U +kWO2qxIv61PMkZevcw7PpUa9g/ayzt8deE3jXTVra+PVYNWy1aB/b/hLtWk1 +6D8avk0+av5ezqUN1hZ/W6f222/MeFrN33+rQo3WWoCBvejp3qP3an2Df2vr +92ztwq5lYj1jvluKaOzWYi/bivb+fhXuxhjTWNMY01jTHM/4UB93BP1PuvF9 +C/diu/XB+mKfmc/Oe9iqSo3lUt3UDNzfxIenl9HPrH1ZpBfuS5uv7TfftJbQ +nE+dWD3bf2tgsiZ+/D8+y3NZ + "]], Polygon3DBox[CompressedData[" +1:eJwt2HfgT9Ufx/GP71ZW00oZJTuprEgiQrSESosov6KojAb6GcksomH8ol9D +KTSMRETIKHuTEULJyOgn9Xu8XX+8vue8nvd1zrmfe88999xviTZP3tkpLZVK +naJMujknldqZkUpdS8P4cVmp1FXYVD5FrRStsfrYDv4aGoqNwWbqYJLOSqan +UrNyEX+MHsNKYDOxGXw9bbdrV4WGaDtW24rYZP5vuRbYPdiXsh9oWxybru10 +/mK5bnKzsa+pDz88O5Xq6Pgwx4fSa3xdfJNcBSpP3/BX05fqmXS/MR42xjXY +dD6bHsTaYov18aNxK+t/vX6XxG/AH6Xr5GfJfqD8Ax8jU522yx3kT9CT2l6F +rcUW8U9p9yRV12aOth8px+K95W6TOyG3jq+CT3M8ix5wLm20+Rd1oGsd+wp/ +X7lMdrO2dbTdq+0P/Gc0HnsOK6nczf9Jj/JH+Dy0jT9J9bGt/D5tV/K7Xa9K +fH/8JeV4/kVjvkC1jLfAuJOVPfjuVFP9W+wT5fP8c3S9+nzsU2VtWqhekDr7 +HX0c70ZdqYZj8/BJyptos3pF6i/XwLidZDpSNcdm4xOVlekL9QxqLfeQ402w +g/yNNBb7GGsW94RvQBOwKVhT7Ch/M9Wn5fybxhnldzfiP5R7i7+GTvP1aDw2 +W9vbZI/xDeldbCp2I7aGL029sWFYHWw1fwX1wl7FFuh/iWtZyTVd7Tov5G+V ++12mLo2TmyTXGPuNr0NjsIlYI+xX/gYajX2ErXd+5+qvrf4OK9fyE2K+q3fB +iih38U/IPk5V9fF1/D7lcfxdmfsoXe4wfwu+z/HraaQxGulvI37I8TZy5yg3 +8w3k9srUoOq0iG9Iv6jXpNe1fdd4+7Svqs1QbecrF/BF6QeZAXFecgPlCmnb +B1spt4KG5CTP6kasGF1Kf/GFtV2qnp86aDtA24LY93xeehTrj90h+yffJJ4r +bDpWSW4/X5kGYR/EGoYd4K+mwdiHZ+fGkbO/K35fVm7PoNwJ9dr0ttw0ucrY +Ib4qDcc+xUZir/ldtbC3sFH8Xfo7xTeN+Y19JXcxvpjPQ+2xflhOdrKG/J6T +3Ku4Z7mzk/t1KCeZ//EcZGIzsFOu013atsOysJlxjbDmWHtsD/adOfaV6/4K +/if/Kw3B2mJvYQf4XdQLa431xXby2dnJunIwJ1nfYp07QJfoe6nMpX7jtTJX +02G5ajTCsclZydzYc3Z9jXU25fo1k8tnjKe0uynmPJ9Ok+L36u9msZbalsa2 +YiXphXgGY25gS/h89Bj2MnYlto0vRS9ib8e1MW7RWGexFdhWbCc9zX+RfuY1 +lSoS64hcEblOwI/YllhPsYLY49gybGNc/5hvWEfsB2wzVsa4P/GXU09sNFYK +28BfQt2wkVhJbD1flLpir2Nl41rzZagP9g5WDvuZL0t9sfFYeWw3X476YROw +4thavjA9gw3HLsNW8RfTU9hQrBi2gr+QOmGDsRLYOr4IPYuNwC7FVvIX0ZPY +kLi32I/8BdQRG4Rtxya7b+PMjR6u4Um+oOvSM64TX0yuOraa/pFriT0he4zv +Qw9gx7Aqcd/57frsrG0JPvYXhfhfqVfcS+w87Ap+NS1Uz49dFvfUmF2okvpV +dI9j98v012dT9ePG6I+/HOuhXH7H5vLLciVrTmesHF+eGss3c3w+ntfxelhd +6irTgS5S7+B8lsptkFsV7wC5u40xzUnP4YvQcplaMWfkXpHroW0z/jZaiW2L +d4Vcff7VzGQvMoJ/I96N0QYbSC/GexN7P+YJP5J6xj4K62KMLryhU4WjP6qt +3hPrRc/LdafG6k3oW8dWZCXXMK7l09gz9JzM5cbeEu+PzGT8OI9ueAO+IX2O +zcPuxP4ndyt9jM3E8mDnKVfIHfA7lumrAHYhthXL57psxM7JTt7Ph3OSvU3s +cUZjb8m8SU9rO4a/INYmudzUxhi95c7PTvYUJ2N+xZyg/dgN+h7lAhSIPUus +c7HmaHOl/q6IfZT89/Fc6ruazJvy0/g1lKHeGuuoPB5rLm2Sq4KNwD7ns7TP +bawj+nrWsbFYDnYudhTrg03ALqJFzu9camf8vo7/HvNPP+/prx1t4M/X9mLH +dsS+1LEtMSYN1M9A/rHY2/H5s5M9z7GcZP8U+6h86hco12h7NPZwMZ+zk/3h +Ecc6x5yIe5ud7KtO5CT7sdiXFchO9l/Hc5K9V+zBcqvnUU7V35R4F8RaSjvU +aziP9s7nD/5xuULxPo69kN+2Kdb8uL+xx8WWYOuxXfQMPy09+S4oGmuJ3GvY +T/GcY9Ww27GTWGOaiM3A/hdrROyhab/xl2Yn+/auMl/FtwGtit+IX+F4Wrwb +4/7yxfBX+W0yV+uvaqx/2BvYbqwGVgfrK9s37llmsvb04y+RGya3VW4LjeJX +4Mcdb8bvSkuuc+xB/p2RfD/Ed8RqvgS9nZG0i/ab+dOyacbaYoy8ack9jzGG +ZiR7l9jDrIv9h8xwbA1f2vnV4LfJFtamc6ylZ+dGmmxmVrJXnxrfR1gKy8Am +x7cO9iX2IJVW/zBYPP8yf0U26+x3g2OH4xrHuzXr7D4QOxrrlewg57LRuOU1 +qeL4ozHX4lsA/x5bF8+cbCtteuDdYx3ii8feWGaPtjXlbpArjPXFVmGlsLJY +OpatnK3dfH3Mje8HbIrcP3It5e6LtQl7N9YIrCF2a+xpsBzlPG2Xa/tddlJf +4BoNk6um/I2fQ7PVJ2CNlYf4r+M7R70fVlG5NzN5bh9QHxhzUrmfL22M/8Zz +hN1i3CbGezbmMw0yXlvjDlZeLjdO7le5uvHtG+9pbGKsTdht2F3xjsfGYPux +Oli9rGS+jMb2Yb/QGL48fYT9yd8u1zz2EdgHGcl7K95fd2AVsE+x09jd2L2x +t4hvQuwAdiNWP/Y+2HvYUawR1jT2FtiHsR5gzbA7saLYYGwTVgGr6bedwl/H +1mFlsOvjuaQR2Frsysjxp2kUtgErh9Xmm8d8w5rRJ9gsrEVO8g+CO7EpqnOw +e7B0rAU2HVuItcRyYXdhU7FvsLuxf/g76PZ4dnIS9ndG8k0W32b57B3vjWdB +25b8DG2/07Y1lhX7gFg7sMXYffEcYa2wmdgirBWWhjXHPsPmYo9gBbBHMpI9 +Ruw12sX7DWuHLcLWYD/H/Igx0888YqlL/NlHL0Q7LA9WMt5Rsf5ii7G8WCn+ +l1h/sQXYuVgJfk+s8djc9DNb4tRl/G7qjs1JP/PIpy7l26uc71zaR5/YWmxv +7Bn4b+MbDCse901mQPz/JL6rzN19/F/4SLn1eFm5Wnxb/eVz7GF8HvYj9mC8 +8zKT6x7Xv5ATejjeFdiD/Ddyy+X+oFdifdBfUewq/hgNzEi+A+J7oDKfZm59 +jB3E6mMtsDb6y6u/h+I3Yz/E+5QGxDWOb1OsEn+I+sW5YQWx8vzh2Nth87FC +WAX+JA2JPXv8LwO7Lt7Z9DL2HVYYq8j/Q+9gO7Gq2C3xLnZ+ZV2nl+La06HY +G9Ancof4BnKt5P6m/2A7sOuwhvz9sa75Hffis7DvsYPUO+a33AWxF+EfiDVM +7r54h2BLsIdiHxFrUdxjbFnsGeilmKPaXoiVicnlXMZju2KtYxthubAJ2M/x +vySs8dn7do7+7sdb00r+/85Ri2c= + "]], + Polygon3DBox[{{2110, 1228, 1054, 1053, 1337, 1860}, {1805, 1215, + 1335, 2165, 1652, 1653}, {1806, 1216, 1415, 2172, 1654, 1655}, { + 1921, 1408, 1000, 1001, 1409, 1922}, {1650, 1649, 2163, 1331, + 1332, 2164}}]}, + Annotation[#, "Charting`Private`Tag$397604#1"]& ]], + Lighting->{{"Ambient", + RGBColor[0.30100577, 0.22414668499999998`, 0.090484535]}, { + "Directional", + RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], + ImageScaled[{0, 2, 2}]}, {"Directional", + RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], + ImageScaled[{2, 2, 2}]}, {"Directional", + RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], + ImageScaled[{2, 0, 2}]}}]}, {}, {}, {}, {}}, { + {GrayLevel[0], + Line3DBox[{1559, 15, 1572, 29, 1586, 43, 1599, 57, 1612, 71, 1626, 85, + 1641, 1642, 99, 1667, 113, 1680, 127, 1693, 141, 1706, 155, 1720, 169, + 1734, 183, 1847, 216, 230, 197, 228, 220, 1123, 198, 1124, 199, 1125, + 200, 1126, 201, 1127, 202, 1128, 203, 1129, 1130, 204, 1131, 205, + 1132, 206, 1133, 207, 1134, 208, 1135, 209, 1136, 210, 1312, 218, 226, + 598, 944}], Line3DBox[{335, 1, 1308, 211, 223, 597, 943}], + Line3DBox[{946, 2, 1393, 335}], Line3DBox[{948, 3, 946}], + Line3DBox[{950, 4, 948}], Line3DBox[{952, 5, 950}], + Line3DBox[{954, 6, 952}], Line3DBox[{958, 7, 955, 954}], + Line3DBox[{960, 8, 958}], Line3DBox[{962, 9, 960}], + Line3DBox[{964, 10, 962}], Line3DBox[{966, 11, 964}], + Line3DBox[{968, 12, 966}], Line3DBox[{970, 13, 968}], + Line3DBox[{229, 14, 227, 219, 970}], + Line3DBox[{1584, 28, 1845, 214, 229}], Line3DBox[{1597, 42, 1584}], + Line3DBox[{1610, 56, 1597}], Line3DBox[{1624, 70, 1610}], + Line3DBox[{1638, 84, 1624}], Line3DBox[{1664, 98, 1638}], + Line3DBox[{1678, 112, 1665, 1664}], Line3DBox[{1691, 126, 1678}], + Line3DBox[{1704, 140, 1691}], Line3DBox[{1718, 154, 1704}], + Line3DBox[{1732, 168, 1718}], Line3DBox[{1746, 182, 1732}], + Line3DBox[{1759, 196, 1746}], Line3DBox[{221, 212, 1559}], + Line3DBox[{222, 217, 1759}], Line3DBox[{221, 591, 763}], + Line3DBox[{222, 593, 766}]}, {}, + {GrayLevel[0.2], Line3DBox[{1559, 1959, 1960, 1849, 540, 1949, 2054}], + Line3DBox[{1572, 1848, 2071, 2347, 1881, 1961, 1962, 1851, 2015, + 2067}], Line3DBox[{1584, 1781, 2195, 1583, 1780, 2194, 1582, 1779, + 2193, 1581, 1778, 2192, 1580, 1777, 2191, 1579, 1776, 2190, 1578, + 2260, 2073, 1577, 2259, 2072, 2189, 1576, 1775, 2188, 1575, 1774, + 2187, 1574, 1773, 1917, 2186, 2170, 1573, 1772, 2365, 1882, 1975, + 1993, 1974, 1976, 2049}], + Line3DBox[{1586, 2074, 2261, 1585, 1850, 2075, 2348, 1883, 1963, 1994, + 2036, 1979, 2050}], + Line3DBox[{1597, 1789, 2203, 1596, 1788, 2202, 1595, 1787, 2201, 1594, + 1786, 2200, 1593, 1785, 2199, 1592, 2264, 2078, 1591, 2263, 2077, + 1590, 2262, 2076, 2198, 1589, 1784, 2197, 1588, 1783, 1919, 1918, + 2371, 1587, 1782, 1884, 2196, 2160, 1977, 1852, 2016, 2040, 1978, + 2057}], Line3DBox[{1599, 2079, 2265, 1598, 2080, 2266, 1600, 240, + 1365, 288, 486, 830}], + Line3DBox[{1610, 1793, 2208, 1609, 1792, 2207, 1608, 1791, 2206, 1607, + 1790, 2205, 1606, 2270, 2084, 1605, 2269, 2083, 1604, 2268, 2082, + 1603, 2267, 2081, 2204, 1602, 346, 2372, 1601, 243, 1324, 245, 436, + 676}], Line3DBox[{1612, 2085, 2271, 1611, 2086, 2272, 1613, 2087, + 2273, 1614, 2161, 2349, 1854, 1853, 1897, 1950, 493, 1996, 2060}], + Line3DBox[{1624, 1796, 2211, 1623, 1795, 2210, 1622, 1794, 2209, 1621, + 2277, 2091, 1620, 2276, 2090, 1619, 2275, 2089, 1618, 2274, 2088, + 1617, 2373, 1922, 1921, 2374, 1616, 1856, 1920, 1855, 2350, 2171, + 1615, 1898, 1980, 582, 1995, 2042}], + Line3DBox[{1626, 2092, 2278, 1625, 2093, 2279, 1627, 2094, 2280, 1628, + 2095, 2281, 1629, 2162, 2351, 1857, 1900, 1951, 1899, 2017, 2032, + 2043}], Line3DBox[{1638, 1798, 2213, 1637, 1797, 2212, 1636, 2285, + 2099, 1635, 2284, 2098, 1634, 2283, 2097, 1633, 2282, 2096, 1632, + 2376, 1927, 1926, 1631, 2352, 1858, 1923, 1925, 1924, 2375, 1630, + 1901, 1902, 1885, 1997, 2061}], + Line3DBox[{1642, 2214, 1799, 1640, 2215, 1800, 1644, 2216, 1801, 1646, + 2217, 1802, 1648, 2218, 1803, 1650, 2164, 2219, 1804, 1887, 2175, + 2383, 1964, 1861, 2020, 2021, 1953, 2055}], + Line3DBox[{1664, 1811, 2224, 1662, 2296, 2108, 1660, 2295, 2107, 1658, + 2294, 2106, 1656, 2293, 2105, 1654, 2172, 2292, 1931, 1652, 2165, + 2291, 1928, 1930, 1929, 1651, 2356, 1904, 1905, 1886, 1999, 2000, + 1998, 2062}], + Line3DBox[{1667, 2109, 2297, 1666, 2226, 1813, 1668, 2227, 1814, 1669, + 2228, 1815, 1670, 2229, 1816, 1671, 2230, 1817, 1672, 2355, 1860, + 2110, 2354, 1889, 1965, 1966, 1863, 2022, 2041, 1954, 2056}], + Line3DBox[{1678, 1823, 2234, 1677, 1822, 2233, 1676, 1821, 2232, 1675, + 1820, 2231, 1674, 1819, 2378, 1935, 1934, 1673, 1818, 2367, 1890, + 1983, 2002, 1982, 1984, 2051}], + Line3DBox[{1680, 2111, 2298, 1679, 2112, 2299, 1681, 2235, 1824, 1682, + 2236, 1825, 1683, 2237, 1826, 1684, 2238, 1827, 1685, 2239, 2113, + 2300, 1686, 1862, 2114, 2357, 1891, 1967, 2003, 2037, 1986, 2052}], + Line3DBox[{1691, 1832, 2243, 1690, 1831, 2242, 1689, 1830, 2241, 1688, + 1829, 1936, 2240, 2173, 1687, 1828, 2368, 1892, 1864, 1985, 1866, + 2023, 2068}], + Line3DBox[{1693, 2115, 2301, 1692, 2116, 2302, 1694, 2117, 2303, 1695, + 2244, 1833, 1696, 2245, 1834, 1697, 2246, 1835, 1698, 2247, 2118, + 2304, 1699, 2119, 2305, 1700, 1865, 2120, 2358, 1893, 1968, 2004, + 2038, 1989, 2053}], + Line3DBox[{1704, 1839, 2250, 1703, 1838, 2249, 1702, 1837, 1938, 1937, + 2379, 1701, 1836, 1894, 2248, 2166, 1987, 1869, 2024, 2025, 1988, + 2059}], Line3DBox[{1706, 2121, 2306, 1705, 2122, 2307, 1707, 2123, + 2308, 1708, 2124, 2309, 1709, 2251, 1840, 1710, 2252, 1841, 1711, + 2253, 2125, 2310, 1712, 2126, 2311, 1713, 2127, 2312, 1714, 1867, + 1870, 1868, 2369, 1906, 1955, 2006, 2007, 2005, 2063}], + Line3DBox[{1718, 1842, 2254, 1717, 1942, 1941, 2380, 1716, 1872, 1939, + 1871, 2359, 1940, 1715, 1907, 1990, 2029, 2069}], + Line3DBox[{1720, 2128, 2313, 1719, 2129, 2314, 1721, 2130, 2315, 1722, + 2131, 2316, 1723, 2132, 2317, 1724, 2255, 1843, 1725, 2256, 2133, + 2318, 1726, 2134, 2319, 1727, 2135, 2320, 1728, 2136, 2321, 1729, + 2167, 2360, 1874, 1873, 1908, 1956, 2010, 2039, 2009, 2064}], + Line3DBox[{1732, 1945, 1944, 2381, 1731, 1876, 1943, 1875, 2361, 2174, + 1730, 1909, 1991, 2030, 2031, 2008, 2045}], + Line3DBox[{1734, 2137, 2322, 1733, 2138, 2323, 1735, 2139, 2324, 1736, + 2140, 2325, 1737, 2141, 2326, 1738, 2142, 2327, 1739, 2257, 2143, + 2328, 1740, 2144, 2329, 1741, 2145, 2330, 1742, 2146, 2331, 1743, + 2147, 2332, 1744, 2168, 2362, 1877, 1911, 1957, 1910, 2026, 2034, + 2046}], Line3DBox[{1746, 1878, 1946, 1948, 1947, 2382, 1745, 1912, + 1913, 1895, 2011, 2065}], + Line3DBox[{1759, 1969, 1970, 1896, 2013, 2014, 2012, 2066}], + Line3DBox[{1845, 1771, 1844, 2346, 1571, 1770, 2185, 1570, 1769, 2184, + 1569, 1768, 2183, 1568, 1767, 2182, 1567, 1766, 2181, 1566, 1765, + 2180, 1565, 2258, 2070, 2179, 1564, 1764, 2178, 1563, 1763, 2177, + 1562, 1762, 2176, 1561, 1761, 2370, 1916, 1915, 1560, 1760, 2364, + 1880, 1972, 1992, 1971, 1973, 2048}], + Line3DBox[{1847, 1846, 2333, 2159, 1747, 2148, 2334, 1748, 2149, 2335, + 1749, 2150, 2336, 1750, 2151, 2337, 1751, 2152, 2338, 1752, 2153, + 2339, 2340, 1753, 2154, 2341, 1754, 2155, 2342, 1755, 2156, 2343, + 1756, 2157, 2344, 1757, 2158, 2345, 1758, 2169, 2363, 1879, 1914, + 1958, 2028, 2027, 2035, 2047}], + Line3DBox[{2044, 2033, 2018, 2019, 1952, 1903, 1859, 2353, 2163, 1649, + 2290, 2104, 1647, 2289, 2103, 1645, 2288, 2102, 1643, 2287, 2101, + 1639, 2286, 2100, 1641}], + Line3DBox[{2058, 2001, 1981, 1888, 2366, 1805, 1653, 1932, 1933, 2377, + 1806, 1655, 2220, 1807, 1657, 2221, 1808, 1659, 2222, 1809, 1661, + 2223, 1810, 1663, 2225, 1812, 1665}]}, + {GrayLevel[0.2], + Line3DBox[{946, 1394, 1138, 2370, 947, 1315, 1151, 2365, 973, 1380, + 1483, 1518, 1524, 1457, 1548}], + Line3DBox[{948, 1139, 2176, 949, 1395, 1396, 2186, 1397, 1398, 1316, + 1319, 1317, 2196, 1456, 1364, 1485, 1486, 1484, 1534}], + Line3DBox[{950, 1140, 2177, 951, 1152, 2187, 974, 1399, 2371, 1400, + 1401, 1402, 1320, 1324, 1321, 1459, 1366, 1489, 1528, 1487, 1535}], + Line3DBox[{952, 1141, 2178, 953, 1153, 2188, 975, 1165, 2197, 987, + 1403, 2372, 1404, 1405, 1406, 1407, 2350, 1328, 1462, 1463, 1461, + 1490, 1554}], + Line3DBox[{954, 1142, 2179, 956, 1154, 2189, 976, 1166, 2198, 988, + 1178, 2204, 1000, 1408, 2374, 1410, 1411, 1412, 2375, 1413, 1333, + 1466, 1467, 1465, 1492, 1555}], + Line3DBox[{958, 1144, 2180, 959, 2260, 1156, 978, 2263, 1168, 990, + 2268, 1180, 1002, 2274, 1191, 1014, 1414, 2376, 1203, 1027, 2291, + 1335, 1215, 2366, 1040, 1385, 1386, 1341, 1513, 1530, 1469, 1543}], + Line3DBox[{960, 1145, 2181, 961, 1157, 2190, 979, 2264, 1169, 991, + 2269, 1181, 1003, 2275, 1192, 1015, 2282, 1204, 1028, 2292, 1415, + 1216, 2377, 1041, 1340, 1229, 2367, 1055, 1389, 1495, 1519, 1520, + 1470, 1550}], + Line3DBox[{962, 1146, 2182, 963, 1158, 2191, 980, 1170, 2199, 992, + 2270, 1182, 1004, 2276, 1193, 1016, 2283, 1205, 1029, 2293, 1217, + 2220, 1042, 1416, 1230, 2378, 1056, 1342, 1244, 2368, 1070, 1391, + 1496, 1521, 1526, 1472, 1551}], + Line3DBox[{964, 1147, 2183, 965, 1159, 2192, 981, 1171, 2200, 993, + 1183, 2205, 1005, 2277, 1194, 1017, 2284, 1206, 1030, 2294, 1218, + 2221, 1043, 1231, 2231, 1057, 1417, 1418, 2240, 1419, 1420, 1344, + 1347, 1345, 2248, 1471, 1372, 1498, 1499, 1497, 1537}], + Line3DBox[{966, 1148, 2184, 967, 1160, 2193, 982, 1172, 2201, 994, + 1184, 2206, 1006, 1195, 2209, 1018, 2285, 1207, 1031, 2295, 1219, + 2222, 1044, 1232, 2232, 1058, 1245, 2241, 1071, 1421, 2379, 1422, + 1423, 1424, 1348, 2359, 1352, 1349, 1474, 1374, 1502, 1529, 1500, + 1538}], Line3DBox[{968, 1149, 2185, 969, 1161, 2194, 983, 1173, 2202, + 995, 1185, 2207, 1007, 1196, 2210, 1019, 1208, 2212, 1032, 2296, 1220, + 2223, 1045, 1233, 2233, 1059, 1246, 2242, 1072, 1258, 2249, 1084, + 1425, 2380, 1426, 1427, 1428, 1429, 2361, 1356, 1477, 1478, 1476, + 1503, 1557}], + Line3DBox[{970, 1309, 2346, 1310, 971, 1162, 2195, 984, 1174, 2203, + 996, 1186, 2208, 1008, 1197, 2211, 1020, 1209, 2213, 1033, 1221, 2224, + 2225, 1046, 1234, 2234, 1060, 1247, 2243, 1073, 1259, 2250, 1085, + 1271, 2254, 1097, 1430, 2381, 1431, 1432, 1433, 2382, 1434, 1360, + 1481, 1482, 1480, 1505, 1558}], + Line3DBox[{1123, 1295, 1311, 2333, 1110, 1283, 2322, 1098, 1272, 2313, + 1086, 1260, 2306, 1074, 1248, 2301, 1061, 1235, 2298, 1047, 1222, + 2297, 1034, 2214, 1210, 2286, 1021, 1198, 2278, 1009, 1187, 2271, 997, + 1175, 2265, 985, 1163, 2261, 972, 1150, 2347, 1362, 1379, 1435, 541, + 1522, 1545}], + Line3DBox[{1124, 1296, 2334, 1111, 1284, 2323, 1099, 1273, 2314, 1087, + 1261, 2307, 1075, 1249, 2302, 1062, 1236, 2299, 1048, 2226, 1223, + 1035, 2215, 1211, 2287, 1022, 1199, 2279, 1010, 1188, 2272, 998, 1176, + 2266, 986, 1164, 2348, 1363, 312, 375, 631}], + Line3DBox[{1125, 1297, 2335, 1112, 1285, 2324, 1100, 1274, 2315, 1088, + 1262, 2308, 1076, 1250, 2303, 1063, 2235, 1237, 1049, 2227, 1224, + 1036, 2216, 1212, 2288, 1023, 1200, 2280, 1011, 1189, 2273, 999, 1177, + 1365, 1318, 1381, 1436, 1508, 1509, 1458, 1541}], + Line3DBox[{1126, 1298, 2336, 1113, 1286, 2325, 1101, 1275, 2316, 1089, + 1263, 2309, 1077, 2244, 1251, 1064, 2236, 1238, 1050, 2228, 1225, + 1037, 2217, 1213, 2289, 1024, 1201, 2281, 1012, 1323, 1322, 2349, + 1325, 1443, 1460, 1549}], + Line3DBox[{1127, 1299, 2337, 1114, 1287, 2326, 1102, 1276, 2317, 1090, + 2251, 1264, 1078, 2245, 1252, 1065, 2237, 1239, 1051, 2229, 1226, + 1038, 2218, 1214, 2290, 1025, 1327, 1326, 2351, 1329, 1444, 1464, + 1525, 1488, 1553}], + Line3DBox[{1128, 1300, 2338, 1115, 1288, 2327, 1103, 2255, 1277, 1091, + 2252, 1265, 1079, 2246, 1253, 1066, 2238, 1240, 1052, 2230, 1227, + 1039, 2219, 1332, 1331, 2353, 1334, 1445, 1446, 1367, 1491, 1531}], + Line3DBox[{1130, 1302, 2340, 1117, 1290, 2328, 1105, 1279, 2318, 1093, + 1267, 2310, 1081, 1255, 2304, 1068, 1242, 2300, 1054, 1228, 2354, + 1369, 1384, 1438, 1512, 1546}], + Line3DBox[{1131, 1303, 2341, 1118, 1291, 2329, 1106, 1280, 2319, 1094, + 1268, 2311, 1082, 1256, 2305, 1069, 1243, 2357, 1370, 1388, 1439, + 1387, 1514, 1523, 1547}], + Line3DBox[{1132, 1304, 2342, 1119, 1292, 2330, 1107, 1281, 2320, 1095, + 1269, 2312, 1083, 1257, 2358, 1371, 1343, 1390, 1440, 1515, 1533}], + Line3DBox[{1133, 1305, 2343, 1120, 1293, 2331, 1108, 1282, 2321, 1096, + 1270, 1373, 2369, 1346, 1392, 1441, 1516, 1517, 1473, 1544}], + Line3DBox[{1134, 1306, 2344, 1121, 1294, 2332, 1109, 1351, 1350, 2360, + 1353, 1449, 1475, 1552}], + Line3DBox[{1135, 1307, 2345, 1122, 1355, 1354, 2362, 1357, 1450, 1479, + 1527, 1501, 1556}], + Line3DBox[{1136, 1359, 1358, 2363, 1361, 1451, 1452, 1375, 1504, + 1532}], Line3DBox[{1308, 1377, 1378, 1314, 539, 1455, 1540}], + Line3DBox[{1312, 1453, 1454, 1376, 1506, 1507, 1442, 1539}], + Line3DBox[{1393, 1313, 1137, 2364, 945, 311, 428, 667}], + Line3DBox[{1542, 1468, 1511, 1510, 1338, 1383, 2356, 1382, 1026, 1202, + 2352, 1330, 1013, 1190, 2373, 1409, 1001, 1179, 2267, 989, 1167, 2262, + 977, 1155, 2259, 957, 1143, 2258, 955}], + Line3DBox[{1129, 1301, 2339, 1116, 2257, 1289, 1104, 2256, 1278, 1092, + 2253, 1266, 1080, 2247, 1254, 1067, 2239, 1241, 1053, 1337, 2355, + 1336, 1339, 2383, 1447, 1448, 1368, 1493, 1494, 1437, + 1536}]}, {}, {}}}, + VertexNormals->CompressedData[" +1:eJztXX1wVNUVD6xIAFvQ0oqaThJs6deUaZ0WSrjpK182GaZkCpax1ikzmFpG +YWxxhDEDklLbwT+YDjCgKEMpMxIdUJEIJcldHhX5KCQEQoKYhCQS80UBk2yq +0WBSs++cne5Zrptd3su7b3P4J/N+7+z5+N3zcdl5e1/64ifm/254UlJSzqik +JF9S6F9+6fQ1j27f0WzCX4Px+HC8Jve189MruIpP5nlw+GSeB4dP5nlw+Bxq +PLvFZ6LyrBufXudZN968zrNu/HidZ9148DrPusXrdZ51i0s3nPl0l2fd/PQ6 +HivPKnm71ssuf7zSP52Ol+VZnuVZnuVZnuVZnuUTQ55xxhkffFxVp4wzzrg+ +OLnWdo47LR8rzvpZP+tn/V7X71ZfZbtsl+2yXbbrrl2VPOthPaxHHz2M68mz +XflQFo4nwbVxguAVgB8h+HnA4a85ru17R8evbZQgZ7wP+O5frdhgXDkviwB/ +F/CUX09Mm/s5/jbgZwDPLqye3d7dIE8CfgzwqqD+gKwEvBbwTgsXfmJ3vHln +y5reHoF23wA8/cTdrVt7e+R/AG8gcRUDfhjw+qB+n7+a8HZ2xLTZqY/slGVR ++AT+zMagfIU8oZC/8bpcK0I99YD7g3ouSfQT/pqfAA5yxiuA99zSj3eKDsBb +/1//4TuK3yR2hwVvfLm4jOifGtTfKRtuLJ+B8h0kLvDDeOnBOd/J6Er274X7 +bYDXwXVtUP/wzBKi/4W33n2kZeIoP+pHvadJnp+C6+TgehWK8hvnf2hdIL9M +X1D+SEi+gsjjetWG6T8nDw2wjiZY8gLrqJHIHyD1tSQrd9bYdR8LrK8mIr+f +rEvWz4sW3fa5PK77B4ALqBfU/yrgxrMPjCg41iXaSf7ngjzm1ZowvFHeLSz8 +KubbluTXHl/XLvaA/C7A+1qD8qKL8Lzzif8+XX/LJ/IskX9oUv79C8Y0yy7i +D8aL9fsi4Be/ljc7dUyz6AMc1s38xR/69Y/yQx4YXWH+BCTYM0YK6ANQ15sA +34j6LXkBcqH8XD16xQvXRzcLSfIQ1z9aH8j/9P76uvRt2AdNrCOs6xkPf2PF +w1eaRUkU/Va+FspSgq/MvbfuoamHBJWfkeN7rGZ0WQSOn//pzjk5PetLJNST +cTlYh28LXLfyKP4kQ/28AzjmrTUPjkisJ6wjrItxpC4s7Yen4f2zxG4x4e1a +q/V54MusC/OnEeeHCXPFqCTrAnPFKLD6mkC7FcQuzrcjUfD08PlnwpwLzTu4 +L1B+rdWvI9Yle9xjf95b2y0pn2gX8aqweANYh+Y1wGG+mVch/2H+Ge9AvFR/ +24Lb2urmDfOjvziXy6x6ljhXsR7vg3io/yWEZ+xLf4d4qd15H+Qtn7irR2Jf +PEDihXhM7DMzwS7MY9ME/Dixi+s46Y3t9X/zNUmc5+8R/UnQD6C/GGnAJ63T +EuCB4hi/DN73ZSIPKVnfr3nWd1TivLtM7NYAfojg2P+wD1v9yOcPAI59DOsB ++ptAfybdas1p9Avn4x2/zXxu3cEG7MshPWgX5yetd4qfIjwjvn9Of7xVcgvc +90H/zD3ZPdF/sEFeB3w70b8N8F7AkUfcr+E+rQ39AD7eJHpoHs6EdcQ5A/wZ +L0I9IM9FRA9dX9U8unLvhIVL/tKnXN8WwAsJTvmHuStof1PNkY9brb6qWi/a +x1R9zwf9F/fduN8eCTj2sfNEzxjY/xwF/EPow9g3sL91jFj0+6VzD4hzgKPd +f8P1huP9+/BT8gzx/yDcvwT43OraajGsE+VM+LwB/cn8ye3+hszSD8WFMD4b +BdSVCfs2Y9aep1dXZAckrTsT46p+fnN5dkDAfeOHsC6wfmYz4E1jrf5M8wf5 +Wkz2b9cv/utbqbM+i+BTQh7SvMW5srs1fF5MKXs9e/3tkf0HeaP5g/7hXMJ+ +8hz0C9qHyf4vpAf9XgC80nmE9YX7tzRFPqv2YyivqseB1sWsoJ6vZBaQekc5 +2j93ET0of7H1i/3pBBzsGLge5HOhfWnd1KdW9tyTVoL1hf9vyer8x6bV8x8V +pUR+1Ok/jX9m/l9D//9FuzjPXyd4KsyvPIJPxXwUX9zPp8Dnh5X32/1I5hI9 +dJ+5g/D2KeCxfh/CeBjP2nwPz/Isr4M822W7bJftsl22OxB51sN6WI8+ehj3 +Fs9O5w9cR3xPyzjjg4mrvj/UzU/dcBVvzGd8/Aw13uziJ1F5c5of5o351Jk3 +r/OsGz9e4Vm3eHXjUzf/deNNNz8ZZ5xx/ee1V3Dm017emE+ua+ZHn/2nbvHq +xo/XeXOLH6/zqRs/XuFZt3h141M3/3XjTTc/GWc8kXByPWh93i67dvmpGw9u +9VW34tLNrl3r7pYet/hk/e764xX/VXqc9sdpu07zo1vfY5xxxvXHY+0/eM5S +XuBJsTDlqpRx6okVh/NgzI9SJ19bsLxBHB4ku17H7wuu02sR51Cp8mFyUL4M ++TXxPD3VeWux5lXwHLr8wDSn8rZ6x28qV81tFnjOED0naqD6rfPy7ilWyeM5 +FQVx6kccz3nAc73ouT2n4+QhXn8Gqr+2b9wfv5sSkPRcL7vsWvz7bzpP5q1P +WTW27rLEcztO2sxbrHpird+4eMu/K+NmeUMcz92p8RhvTvPsdf/tihfPsVoG ++4Fo/Ravp03fN++rP7hUNFC7LRn98sMz7I4L8/v9C+HnSqnOHUJ8WUv4+Zmq +fqXqP6p9VLT6pfWI+6L0tPB9kWruq+Z4rPNONafQ3h7/8Zd2lW8SiKvy5y3A +D3bs60hN7pB4ftfPHn9wxqKt+wTGS8/1pXpWKs7fQzl6nhLqCcbdPiV0ji6e +R7m++5mahd88g+euGRMU55W1y/44zwk8//hcFD+t86ciz79a47f00HM43ap3 +r+PMm728MZ/28sZ82ssb8zk4fA41nt3i0yu4buuVqLhu6+6VfNCNH6/wqRsP +XuFTt3iZz8TAmU89edbNf93wWPlknHHG9cG5nyQGn0ONB6/HpZufsepxizen ++Xd6HZ32xy1+nObTrTx0a33dkud49cx/p+P1Sh9wa90ZZ3wo4PgcVYb1fFnU +57vixa3n4MaEnveD9z+bM7v67V6Utwpn7A513On8UeE/fnnDki+tLbzp571V ++AMBK29UzwHeLA995zc2VeW9h+9bNStt9j9eP+nvC9xa91jtIo85mz9bvrGo +RVRFkd9uPUcb8T5Tt+IaWH+7qzhePXb5o9IzudPiU/X+a6fWPVH7YaL6o8Lx +PdBbgr/HOibp726s581/9E+qpzn4u4DhUesi1riW5WQ8WZlVIfG9vvi+myYi +vx9wfA77l9Zz2fI4sYu/ezgL+Eh4P28JPIcO+xUD7pvTX0l9defiYwLfi11g +PR8f8V5pVVyniZ+niDw8H2/i8//YB7eS9x2XKvih+zqcj7iOe/dVz27vbgit +4wbAKy98fWnvU60yGfZjfb61m5d++4Kkz8Nb632n8ncNdC5j/59P+v+q3Td+ +P/jL0P/pe7dj7bd4TX9HsFzRDzEP6uD96vT3L6r+uQ3wXpv7Z6x6dOszdtm1 +yx+v+5mo/g+1uBhnnHHGne6TuvVnt+zahevmD+OMM67/vo754bh0jks3P93S +b1e8bvFpl12v8O+0n4nqv1txeYUHxhlnnPFY+6Rb+nXzR7e4VHqcxnXzx+u4 +is//Abz7Eqg= + "]], {}}, + Axes->True, + AxesLabel->{None, None, None}, + AxesOrigin->{Automatic, Automatic, Automatic}, + BoxRatios->{1, 1, 0.4}, + DisplayFunction->Identity, + FaceGrids->None, + FaceGridsStyle->Automatic, + ImageSize->{306.89165132278845`, 249.29271034615417`}, + ImageSizeRaw->Automatic, + Method->{"DefaultBoundaryStyle" -> Directive[ + GrayLevel[0.3]], + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, "RotationControl" -> + "Globe"}, + PlotRange->{{0, 1}, {0, 1}, {0., 0.994109506744684}}, + PlotRangePadding->{ + Scaled[0.02], + Scaled[0.02], + Scaled[0.02]}, + Ticks->{Automatic, Automatic, Automatic}, + ViewPoint->{-2.5541287486691218`, -0.0768419945434366, 2.21822488560031}, + ViewVertical->{0.6552490077322192, 0.019713430931385247`, + 0.755155691567544}]], "Output", + CellChangeTimes->{3.885878982488625*^9, 3.885879099825831*^9, + 3.885879160169732*^9}, + CellLabel->"Out[83]=",ImageCache->GraphicsData["CompressedBitmap", "\<\ +eJzkvXmUXFd1/3upqq6eB/U8d1XPs9oYiPklkAYTIxIDcpwfkYkTmhgLBUwi +MESGAEpMYhF+DgoYLBMGGYItBoPADEIGuxnVYARCsuxGFvn1X156by2tpbf8 +j57Xeuvdd7777H3uPrdOVZcs4MdvvV7rXqlOTbfu+Zx99tlnD698/dt33fyW +17/9b256feHlb3v97l1/c9OthWv+7m2mKfucKMr+v+Z4cSHKmf/HUbTZKRNF +/z966j+osabXnLaZY8UcO8yxhNZuei5fx4938PN4XZs5rgl+4D3UmC2Y02Fp +y9E5u25OyxH/5e0XT5vTQXXgfVGt/Yxd5rQhn5G154vmdMAcuKjoZcErOGDf +jUu+IG355N075Apq7HmZXyPHUnJ12YOqXT5jjX8+/b00eAV3U2N9m7p+HKt8 +83r5PtCFZpIru0o+NVfhyuxV1+9W7Xjvbn6+wL9wQ3324Uj9vaTCFef2qU89 +4r4stzf1I/jO4XpPqGNaXTt++wX1tmX1HK5xXT23bbM7mdOftJRcACA4p56i +G9hs36JvEG6A7dHcSuoXhr/2o/bFy6nPsFzm9qjmfck3rqZ+bj65SLl+9BSx +E+4F/lp9u3cnX7ukmk8kX3tRNdclrz6smrdv9o1HUpfOn1GnmvE1Tbb5KtW8 +yt+auuw9oW9sTD4VQ6DAb+2h5qw0T7vX32Jfr1HpTb5uI9XMn75DNR9IXq2b +D4Yurt5eBX7bIWlTYxN3iMYffx5u6QofS+6OZXfw2y8mb6cOwm8AKm3y0bsi +95xcVlvy6SdU81Ly2zTT+5NXb1PNR0K/zb4uq0d3VJP8tr0R/+VL7yyes6Mt +28YfT2+stW/H6Nsmb6emndQeuztaMiz4t2ha9ia/ZVk1r4Z+i73RNfpWSFdH +GZLtNYdSz22v8NusSMrjt+mbjtuCEZTZQ0/j0zdST8tdj262n6wHy4Xk56eH +VuDn70l+vh7ja6Gfz0KlN/LFK/1wFq8rqQshgVNT6efXaDLQpUvJx9H0r69W +ZFjy29UwcX+1z+bXpwVLmV+f269edyBp1iJvt/xmwtZKF/dnVaFcen6qLf10 +uTHSyWlhW/143RdVP14DrBaS5vQ8wFJ5OXXz+MvwRrlqmSvl1+i5U0lWLXAL +ya9ZUc0HI08SSvOh0K9h9HrV69aTt6enRv4yzAIrUSJf60tvtHxg9Ab73Frk +dwJ/QbrLGktv1+Hk1em5vdyvKXMz0rNur23WEkkgl8s+oJ7DrBCY7QFCU+ld +PJd8r/6ClQqXrX+eGnh6/O9KLluPXifu+LJ3pW5Abfi+sJKiUZ5OXp0mnC/b +avC1aNnNn4Mbe4ivruB+1c7wLSzTl/yrNN7T/q8i1TQt6GTcafZ2JD9Nf/n+ +5NV6kONnsqL53uTSLvCBW6bmSmne525TdneUjGFZTHkTt+4YjcKO5Gbo/sJl +Wq2rRmMmI8STEZoB/FRWvfWodxw2l34mLrNAH2Sfw+v0QMVPS92bveppdW/0 +7U/uc63uZLkYuY2yaNwfqT9q+mv7menhyvdqRTUDvqbkwlb5wCgOzHFuyWvJ +rE/fXtEBI/6yXeoqd+mr5FupLxAULaPVTl/56dSt3ODPflZ3M7AYvuiuzz63 +LUoolBtmf+xN9jMPRZvezQPubtboadatyy0lvvWA1YslfXsUofnbIv8e48NA +AQ+UQ/p9LfbzeyNlWaDPz4AXZWNwa/Gq7iZu014+trm76am+e5JmPXakH+Qe +Hkx9Ad/DtOZv72FWD2q+TzUQb/gU3OpVvh1BxKjpjckHOWMJLw2S1VMk0FLH +HEm9znGJv6vtP39F59olvtxV/qX4F0OA1nj80+r40+WwzXkZHcBgjd++7n5l +dkX/klY61wTnRmUq0INl2d0BFgVl5hDd4bhyFgVp6V6bkOPuMTW9yd43fBoI +IBgzR6gNjwvy4k77q3HDDvCvXuX/Y2Cwre3G5NNk+OiF3D75NJ6D0osknk6u +ihT9+bL3s0R9LWP+0HdRP7c3uYv65q64u9hUUM14iSy+RS8VWS6TN33TaX0r +arXwxS04wR9xgn5VQPznwrfG3rG6pciXcbgC9AW+BuNDLXWmU3crPZeUsdro +u6UFgdJBtdhYdnfLW2C6Mfgrew1/QeeSpR/JzDLim5btNZXuhqeeHUw+aW/q +1RhXLCBK1g4BS5KTM3wXyqi0ab3dzohZuSb8G7gF3ppmOfmF2v5zImnWy4yV +pFnLVfQGT0v6hwsK2yP1x9eoL12mCH1dbvnMd0BPxrhmvv0aD1wFT17S9xfT +d+C19m3bUm9Tdkj9RdpYmiauwu89on9vgMyLyU/W+BRSP1kLiuQivTuxy/1k +T364Tzrr/eoyyyj9E/ZEZZdRNeV/MH6Qmwb57W2ptweUKhn3/IPJwqQZOMgf +y8oc/qv1pw1+mm+AHqCCReoG6NlNaadpGVPGWhC6ASw+PcWLV8+F1KXWl16D +uwFWs6nTFyJvO8QXpZQvZ03EX3Ppb6DbTYOflBH3R+8+4d2RMpZx3fcbyR1J +z3aBvQ98IFPhaVJ8UzQVygKoqUitN7MrkVrZqZncSRU7uWT1LBI1xJV//g2l +l6PkahmjftoEEPj5G8nP37PJzy8jBdwkblX3LG7HfrnwjNVUxVROP2+LfZ3+ +6Gp//rR6z3pyOWmLO1/8QdW8I/zzTyQ/39Mo+AZqa6IyDaab48g7/ZV3zWll +ITB3qK2OtMZRZreOr/lg4JrTAqvMCEld8+vKXvNaFOz25D57C1oMdZqFaID7 +60d14QcCF15G2qenvooXXgYQ3WHqwtOA0KaqVftLFtMstLUWcSQK2pelr8pe +ZEG9eEMukkSlvRP59J3AYzBu9XpPH9vnLs3bP3DKbE3pczgK/vUFLjKt3QUk +zTl3xfVa0uy2n0PvwPfs4Z/Js4FHEV7LKz1NyhH5QtZO8f+DqefTl79iv5Xn +Cf0luAjup2XVvOYu3zNn4DpYV9ILTDE9BOay+kLk3921KDFyb5fLDS0zwj3A +P6HM4kNrWYnppUTM8OSvt19kOi7on8AKqF5JaM+KlTKXuuJdqr6m/cmlrqrm +He5SS3bPyYbLoOphJ4xF7fYacdvS/id4/XLpNf4/9gLqVlZW2vjofdOb3pQp +7Nq1K7N08803R7mr3vCGNyzzse2Nb3xjZvvOnTuzK+a5zG7zPzMfmsa95n97 +6dF+c84cNE1R9pD572E+ouwqPq1mzTxzwjzGgRZ8c/RifZNK7ND6Z+vec6ON +NSUNfsqspymH2GGTA30Vbvhu7qlp/+6c/u3enQxuihFb5rzBxzm8/oI5DcX0 +3EVzvsAHPYcX2fdlcWvx/C5cGN9SXhvrIZKWGentXzKktJTebtn3FWv2jijQ +Tcm9+/5l37ssblk1dyyfvmO4Oxerumk53DR8Eo4jaMaHZ/F9mf3uGnA1GVxX +lN1hzrjM7XQNuHL+MfgAfAF+H/1Q/GI7f2bxffg0evQi3TMlIhFz1h6+0/si +35cJY9x5X3EPpS3JB+n1K/Rc2hdgj99D7K2me8jIvE26h28DGMNdsYxX21FZ +3VERcW2kpznHfEQDz7LH+IsPmPN+udlV911+mvtN+g63Ardlwt4hfCqui+4Q +zwMX5eepLmUL5bao1PnOGaTwx+saDEInptmIejBSf0lXkTdQFt9P48eIePPV +uHa6fvop5nvNZeKn4WdGoX7KkAzK7eMbhAM/7dfUaVndaZb531iPZXWPRRmL +Lr5mQ7rkVfYe7+ZrpHexhQo9HDNYIif/0j4F+e88oFJelxipMsOKgZ5Gp/Lw +dP6VSdddvXnX0cCKcvixK3zsEiFYqc/oPkY53FK5vbgHdNft/S/XWfRExo41 +vBBdLLOy7Xr70WAC34TjgMhEviRMbIIWXS4JbvtTgOKyEh/Ua1a22L6iaV/+ +rJpHQvdiqv+282WvJP1HcukEc4bP4dFnlUJSmqDMQRNcjniqsxu+tKDYxoez +RtBpoNpeyqd7CT8ft+LyO2oYPzR7QcSdHXjSK9Gvu1uu2rRbrHWO5MKFVLfs +426he8Vt+D/a6DLEeMXyZJ3v5ovSo+Pvqr3vWX3fI6tb5bRuhUvKWClygG8N +SZhK957vs6gM9CvTvZCTXjjHvzmTdEQ+3RH75UIuuy/sZOGmHuoYvtH4JLTh +XdKG5zF2Dqmbv5sxPMwCtOTm2/3KqlW0Z9MZ2c3wL9sFVnbl8IRMPuiJTEpE +ZXUXRBYAGoRyKTQ2rZqyy7vqCt3ALIoqQGOjoTz5obZt3HE0Gb/atglJ9EhM +j3yJ8m9JJ/VeWif9r12D1OupHsdh7nO8c83vpazuJTtTZzcbH6GOeb69uTLT +Q4BUGil4Dz6TRhR3zGEt4rhjDnPn4ZIOpUbP+cvuk6pV5mfbE5stbEK3f7Ml +TlpNJkHFyixeFrOYk1u9wrd/Wd3+HdyGexLda9v2c9fhM+X24/JxD/HNJ1K3 +/3vP8vZf1trlN7jIzJAmmtvL1yTHs121/Dd7V5f4Tu9WA8K7+2pA0LDCH/cI +PhrfTgOMe2SDvw5tF1I9crf7pGe/gGTZrSfvQ+5e/c6vIYMrEk+d6sCJvv9V +5TtoG+vA9PF0a59DT9SgUT7uHH9V9AeqC97suuC3sc5w/VF5nVFZm42yR3ig +kdpS9v6zgiG6EJ7YIRPFJXXBi9NdIDorJkh7G6+jJ/J4wq0lzR8uF32j7/hy +tXf8N7hmuPSb/ltdQvSWFzsb/MPo0SuT7tjgL/W6A9+EXy+fiyvGi3R3dFXb +Hb+RpcSzWMZd7uphjWXF5t1gFf3gfOx1A93HT9tbvoO1N/mM3Qwn3/L/k4YS +fVcOk4+MO9x0ezG/A2u3srf+N7JqSG5/0d5bfN+63EJG3DNIbdYHexgK6QN8 +LW4G98HDdP7tbd6Qhc3dzlAHVNKFfh29sekCwcoQfP8Rukbck2sJVSX1L6kP +ZGHmRJq5w+eSPvjwb7cPKi0KiP7EDHvOddJvYEUQZUU5p/VWaF02aW8s7ozM +2nKzz+0slf3bWAi2KUtHaafs4tsdJT7TmGMyBZxs5B6Mf8t8wNCX2R6xs1GG +dtzJf2cvH9adhczuGfJqoIiGVT7WCBx7KZHybrZW4FoxrEhzHWvG9BN+37bd +Zn/JDp716dZmfgfWHNVvbAVXfXYTcJoHEsDhbpSmvaq7L+xUeyWfKte1tJ4g +byfqTWuMX4rEkXfZUhJZyy4Z2u02F7mj7ebDevFRp2ZoLyUrbnbUu9lV16N5 +2Os3+MDOGrZoYOvvwNVk47aWTCYuDObMf6fHauKl2Voc5tHy79Vn4u1/1BjV +xTuubYpXrm+mY9drW+Ldr2+N9+xqO/KqlzWCwg77U2UpS4/YqHpCxA/+7ILN +bs9F2du4Q6mL6yoK1JgfkmqU8VVquuG/mW2xeXuhsuQnE9crA23KCrM91f2H +dqodUep+6+0WHtkhFmhY26DzFT54gOf0AMceaoZc1siX6mAkW6QVRjsN9owN +ovLcmdvYo6Ku9jngg47erixxkomXZmrNc1ct1QEROra9uIFQyYIQ013go7u7 +O75uW0eUiff+7ZZsvP/dnZn44Ae6zbOHPtQTH76nF4d5tHp/vzmvfWkgPvH1 +wXj9oWHzjo3vjZhvOPfjQnzhRJGO+L/GOuP4f44Zss25Ld6g2yXkgQ0yqijy +cOdXguSRyLjAYJIeV06fFJ8Z7myaxRgAT8fkNk/9p1v4ywqdXZ0Yr3qc59Lj +nDo2MMhHzSCfyeMwd3r59+rMnZ4eb4rb2trQhRjrGe5GGermMI9MN2ZMN3aY +1x94X6fpyy70J3ozg66knsygE81rTTeiE6kjM+hA03bxiVF0I45oC52z8TO/ +HIuvvPLKePVz01EP2tptJx+JN5JOtj4sJARcz1An0/zy+7pr3SqR5ulmv6uo +W7ir9urXcRsI2i7TGnXfl6i9oqi2wzOnh+cu6bsMzbzkdbufjwPSkYFxmfRl +VvdlhRGaT4/QuLkpH3dsqclQ92KQ1qKL5ZBB+qfNmXj3Sqt5wZ43tqFj6dj3 +jnbbwVnbwf/ahcP03+EDPealRz7VG6/e10fH2gMDpqu/NpiNN747bDr454Vs +HP9qtMF04ah5+/13zcTLL34uPWrBucj9/fSpcdffvWhrs/192PS361sedbhL +zkWaY+GmWUewj+zZW8DxQP97Oudkko5Z6jeX7/xD3FbnOv+k/YzftgqWoT7P +ykxNfZ+M4mxcGMiFeldEcAa9i7F7Qwu6mLo5KyK4I0M9akTwv3ejV6lns+hR +6k3zkesPDaFL6Ti3NkJdm0fXmpdd/8ql+K7b5+jRJM713N0fe/9sfO22K0q7 ++6kfT1B3H/vSVNSHthbb3QcD3b0Srw7gZ5LGwx3lmUO4u8VQHuhu2YtaZ1WN +P+UwK5P0SI31JU8tu5/af8fUsoG0xM7yMH5Zoxn8O/6kCb1Nh/S3GdBmxn3L +FtOX+97eHu//hw46DtzeSX3vBvMnzWD+bB8da1/EYH7QDmbz3IWfFQwNo/EV +V1wRn/n2hBnUZ0cnmQF088f2zdKjKZzrAgy04lxIMXD8wamoH21NloFDpQzk +iIH1z/TEPJ64AzHCD6VGvWwEBzDYwxiIhsif4u1KUpf/lHqRPM1ykqwIB3qe +RvjvlgLWmc2UjP4X1NGx7UUNBIXI9tdh0O/Z2QYSiIYsKCgz+j/bZ85vf2Mx +ftELp8EBFDADQjY+d2yEYDBHNAsKTJsBgrrT/Bs1om0iQMY0zrWKjOtftUSP +2nAeYTLOPDxpP+rhyWgAbQ2Jhpcio2ZHvGrg+e5AvHZ3V8xdJHjItrLtfdsm +mzj06IUeHgcZDywjziV4AKaDImvo9lsftd+i8pbJZMorbyFR8AIWBbm0KCAE +suj5DDoeKts/mRn9/V3x8n8biv/sT4aMHLi7x/T9f0Lyf5VUtm8Zyb86jAMq +2/ECVLbHjCR/chQHpusnIfGJAnQ0jXbzaGuAjCa0jQfImME5z2Tc+Z75+Ibr +LRnQCEeHA2QMoq3OknEi/p+jTi20ZOS3x6t9RAaOQ+9txz1ToaT7RW9XcHj2 +DA8OctuOdyaOMMQQe7dqK4Al5B3U/rurH24iQLYmAkRQMgLkOhYgORIghZG+ ++PptXfG+W6EcvouUQ0bJHFAOP0rzySd6ARMda1/AfPIVzCePQDn8KVCKz4w6 +lPrpbBT6v9wa733bAj2avBS8mtE2FsCLzjUBvNpxHmK8zFREH7Xx/YmI2vLl +8VqOVwcvCF449t/SijvdEkCJ8TrA+xkBvGR5cpHlD72V8fI8aaj7XmE/9XI0 +0PAUdVlKaLNTQqfzUb1H0bYX1ceveHEjrSWvfUmLYakp3rWj2VCy+69ajDi6 +BVrouzAPvZ/moQ92Ax9CSGTRV0gLPTIEdug496MRYqgbCEHovei58f3/PkOP +OnAeZJpu+etFR9MUznVV0tSCtlGmCcuW+z88U0rT3lsX4pUdW+lRB86DKZqM +ohORAMuVpSkLYSU0mbuCs5mnX9vMUY1OanmmNMYK5qUDMkExVu+wkMr2rpjT +1nhGZLJEIVpyZA1Te5XKLkmw36yy2+xmuOJQPm5oaIhnxmrdDHd1A5TdP24k +npgpEBXvubnVKLu3tEHZvXVLvP+dHXQc+Ecou/ug7H6EhNPHjXD6TB8da5+H +keLwgBFOD5tZ8MKjI5jnThpt9ZdFHJi6fglzxVM/sKaJ44cnohq0zQUA7MR5 +ALBl4lvfuDiD/9VeLna0wsop7CAnS7AzS2j6KLOktthlLXZr2j6msBMBBllM +5x0vrXdx/oydZ0dj7Jb1GszHToyg4tckjnC8WHefhL//y37m/xZmT6OHAUk6 +1KQ5nZ40t/1BPdGJSbOJZBxG882t8d43t+GA1v1OSLs7SNr9Wzd4JCZN930a +Wvfa5/oBIw5o3d8Zgtb9g2FgyWjG68UaJtKQaAXND8YAFLU9/fNRa1D57FQk +r4vPFO10e4Y08TMySR78H7P0qAvnfgftLP6XZ0Dv/9AMAV4O2la0FQPQzuOc +ZWjf+ZYE2k6cBwLQyjLA8OpsuvkArznm9arZ/MEUr55JMJdQdy41+zKvIgfB +7UUWk3iphL+F2PytWGkbY/tzAJ7AWFMiGqcNCQZCAtHc/OezaMxZ0bi9iY5d +f95MJGYIQCMX32bk4m0ddBzY21kWRhKKWAZ8YxAcEotWPNbEF39RAIfx0YN2 +pnvmFM2NCZlnjlqz3sYj40Ey82ibVSh+7I5nh+Kpb9qFwcb3JrCWPAsrQwmK +CzhngJ350F2L3fhfP8P24Cdn6APwiAE8Urrc9AGsYQALvVmXfEnZI53nA8Pr +dkbxd5UG0Hl2wXhBvh0EatYtVPFXhR3qd2FNUUk8Pr9ODktoVhNqlUGsLt7g +BCUozQBRrC72doJR4tRM4HfRBP4fZgK/t4+OtUOYwL+MDjn4/tF4YWEh3vg2 +sfqTETMPPlFsBZnm2WOft6yc//EYptT1Yo7JNJTSE6e+PuFofeYxS+uD/zEd +1aJtJkArqaB9jtY5/K+mAq3Hv2qv4Klj41jfnoXlg2h94VXPjR84YGld5DYD +KWjFQVsho32M7AP3JMjyAnnTOT7PyNbln+PIYmS9+ZyRBYtO3fSQrcWcLhb3 +A+yI5VYu77ZY/y9eoBipWX6B4iMpM3aGSMzGu15jFMm/bMEBXetNbVlQaITk +v3SZdx660wjJD/fE737TQDw5OZkBf4a9L2FOWv+6kZMwlpvj3PewzP3xiNHo +Hi/2gkHzYUc/ZYXl08dHo4Lm8viXeRr//hhmzfViNqBxLnEbM0mP8oH5fZIx +veFPl+I73z1Pj3pw7uVVEVZENBU/SYrlk1AsLx1YuoxPTpcAe8tNFljs5Yz2 +MrD33zXLuz9jES+5Q2shvbJ2wF74eh96kQRcyPrLwIpfZADYC2z5xQOJizgh +Vhtys/xtrHtsCQmQuh6lcI04q5e39ukvN8G/lNY+rzDi89VNdAiye27C2udN +bebpfW/dEt/0Z93x0NBQ/KF3GvH5zziw/PkwSc97jPQ82EfHGu3RPoDlz1Es +f9Zo+fMzA+jpIuhFhz1O+H6S8f0pmf4eL/Yw18e/lOBbRFsLc33mW1asmn99 +rkUTOPaFSce1W0SZRyRvp39jILejbTgA8lZuIzOUWWZBWyWQewIgD5YHeSle +HXAg1zLIJz7RHQtXITs1gyxeoRrkt9O5TsJ35Wlxo5dVFvmd/e7vXniKQn8i +lReVVP79eiI9A8DNc9cut5D7yE1/2sqY/w0E8572DNCG9vqBrvjwh7pxQHs9 +CD+Stfv7DNj9OLCUOgqb9rnvDhnEh3Fg//F0wXz4sUOW3/M/GkVLG8gfZuiP +P8Bsf28Mr3+82M3Qn3rQPrHx8Hg0irZmht6MAiuzvzwBvXO9mElBb3Tm8tCn +hPkEj4GVP98a3/H3dgz04twTGAPzOGerHAMdaBt6NmPgY++f4329sWigyjFQ +x2PgyAdIxvWqMeDZRmW1t1O5zfljwIu2iqznIYbRdjbPsxV2iSkmgDOX7Swj +ErneSuSpPB3Lz6uLX7hUHzc3N8cvurIJwMY7tjVGllqjS/x3I5hvbMEREbJY +fe3eAm7pOPCejjL8fqrXyOQvwg1q/cEBoEv4Gul8DLtwF4+bWfixAg6seR6D +Nf3UV3jB9dAYDFaPFcaY7lNf5Se+TS1bQLeI9I3vsIA+Mu7T7SD+0oRPt1Gd +reT+/KSlOxtQS0SFtiYGS3ddgO5xpnvnjQa1ty7Qoz6cuwN0L1gtuzq6O9E2 +qOg++hmfbuwCYDcAdEOtxlc6uu3e5FjUX6WqUs90H3iblXOKbm83gOn2loge +3S5sk3zI2HzhNp3wx/mRACkJUUHRCE+Ik+exgpAFh6IgYH11I62v/roVFNJh +ODTrq79vx2W/pyM+CPee93ViffXv3dAQDvTEq/AIMMfaZ/uIRsPLtwYNgz8a +NoCdAnTnf8Ar+nsn0cGnClNM4/kf2ieOf5G2Zh4rkGQFWN/lJx6YgLWbpa3w +aKSse7YfbV3M4/k1xu5zk9EY2pqYx6d/lgjVRS1tsaASyap5/Ni/zNKjepwn +f7MADjBsT59kn7ZDJPl9AH9Fu1//NdrFACZ7VGNRX5UANjCAe1ea11MAeu62 +DKB4SpBnkw+gGG4TT+cUw7xmpNyE+/7OSJOTEDLmPMdM0Er2Q9P0iJiYZCae ++XnRSokDUz4TTz9qnzj6yUnLBMmoQWbCqJv87JTPxDMneYH+sWnLhMgobqRH +i9wGW/41L70CSLjJF95Ld/7DXIJDSjyNMR3YRnrnLZaOfpy7mA5opdBO8WiR +20y3Cxz4ohIwutDWXxaMnAYDB7HRyWzccVvCBq+t1uP/Gq/IRiOzsbKtYS3F +xgVt3Ocs4RBM09LZv+exIe4R9EhyBWttldmglFqY+8BGDc6zzMa1LzcTwr6Z +hA2RF6QH/ds0PfLYIJrumqZHpWy4Z80jjw164iPT9MiTF/RF+2dK2GDR4Nig +RQez0RBgg85k8xnE/zoDRGzlts1ERTfa+ioQobazcUDnGu1gIpLNoLGoJyGi +txIRTUzEthfUuSoJTb5koEd1geHvE+GFMjARnu7GH0u5njAjlRCx8hqj2L7d +yo56LS2Ayl3vnS0lghj61xl+JDOIEEFj/IMzpUTQE+h482gc50buffq8D1gi +tnIb+TX+45w3eey8cdHMEfP0qBHn8V8fAj1o660wW2iPhoyDoJ0hwOYK7C54 +1F0lBM0MwdI4JVLTveXpJ3XJvOBiwRiCW+1TbRzmRDvR/FXelgt/LKUsxSIP +EORxnmEIbr15IX7nm+ZLIQAde/9unh614Fzkbr/+WjM83zmXQEBiYYAhwLN3 +7Z2jR9TWyRAQVHgiDYHrcAWBFgFlIUiJhSJPGVAmMG3gEdHR8eui4/xxq7If +eyCh45qrEzqyjg7yqHf7HWWYuEqv0lqYibamjMv0zJ23jWOqNBPwoj8YZsJb +pbHW4emx7IdASWF7O7OlTEAooPvxqAHnCWYCoNyysljKxM6/WLSw0LJHBIMw +QYLmHfP0iIRFBzNBS2s8YR5N4NzA/e/W3IoJ3f/CxK1vXLDqgbgKjCkIoFni +0RDO7QoCEHcpEPSirYe7+Km1cfagnXQQ6P2unNMcJKyCzbL0qLM8Dt6ivdlt +tvbHFx/qE1dsFUPhep+JkPxkASK86BgmwptZmIgVEFGXfw4RQbJimonAbIAB +XEKEQ8U8asW5wEQ4VIQIkhL9TMQtrzdq3ZsXSomgTt4dIMI9oYigT+HeJyIw +Iyy04H+jm3GAXSSypIQ4eDLhwIx1a6D6KS3Tz2J5UhUHNY6DNuYgseqMRR1V +ckD6AnxEyB7xGbJiqjISvhWzLjAB+CTIEoNkQcjoKd5vERsQzz085JOA5QU0 +PDxqxHmcSXCIpElwiJwm/YNlg5CAPoX0cNbudiYBeKCD8WgS53q7xLx158KS +/h/JAcgFEIJHzYG5YYRxwOiHbMGjYZy3XCIOq/ezIf4XZKI4i/VIWRz0xmLe +4dDKOMB9DYsKPGpPFpsVcaAFRQ3jsPrvZCIrKBy8nZj6RPa7lcYLPByO7FQZ +qEL2P8bBJeQ98YV+LB5OYvFAOBz9OG/r/mDUx+GBD0/bmyd2shHGwXEiOJBg +6GMc7nwXw5LGgTi50eIwhXMdCwH3hBIMqbYSREhEFBUTpBYIJ21lmcjFD36c +8bfOs4sBLAbQ1skIbHzfmqpPHUmw0BbfvFMZWhiLxDrmAvNCG8weFmSDqGUs +Dr13i3hdCxbo520yXzAWa5zIIICFxH1rLDyhwli4ogWwW3lYnDrMhs+jZBE9 +BYsoYXH0E5aXZ35exK97rDDMWGApSbycJmWEpYRgAcWRoDGPaHtgC2MBXqBy +lmAB7YFGusMip9twLDIZUDQJAPOoFefCpZORJTLIMeBJWiY8ObqwGRtnvsOe +XN+ZCLJR69hoZjZgHL3rfXP0iGcVOGvVbcpGHbOxb2fLuYj/Qkaq+oAYYTbe +RuecJFa4yIaq2kTIpBVM2oU68O4OUicIj0nG46lH2BL5BTJRnsICk/A4/kXe +8lkd9fF48B52djpRtHiQ1OhlPLDqJHjSeHzsn1nYmEdkkahlPNDnpAYqPBwH +m+CRmluGmJa7/on3Zs6Qi8EZCHoi4+Cds7RMKEdLFuf5AC2DaOsI0CKW9GfW +R91ytd7R0sS00ML1/ZaW1io3i8ic3sC07P6zxrQrtOdOxbRIxs8ALRKrLSGf +TEtI+SSzulg1PVqe+RkbL++e8mnZeMiu1k99hfaVHysMMS1qVxGjiGnpYVoe +vIfvvXk0gnMb0wIbBWGUpgWGa8JIzTFYskpbBucFZoOeAAfmURvOonw4qSGL +1ZawolE9IENoa68AiLZnNDhAGhkQqKsH/22WHvH0s2HOFTUQ2k1sYkC2/0Gd +c1oOWbE4e6mnUviAyNJEAvoZkJBOSqU+Vl7VRIDUa0DIvnSn1VAJkGJqK+TY +/RM+IGpjLgDI6mdY5z82hpH8OJyFCBBYtmn2N4/InJVnGBw5ChAYtnBlJYAQ +TRqQlEAZvFxecjjPBXgZRtuWCryIhQO8NDqNVfMCLww84inpnDlPx2c8Xqbj +1b5zWLg6D4wW5uWq2bwrLcS8LOlsVcwLJpJzYV4k6W3MSNUGCGNeKKP6tt+v +L+WFbFTvnS3lRbZJjPKKFdpjhcHA1lmd46U74Kjg8aK9zmbRVsNsOJAUL5oh +8jSfZzawlUZP/JJ0phJeBpgX9zqxkTdXyUsNzrMBXkbQ1sZsmJWNi9PaGlj1 +NDleGpgXWv/cM0OPeFK6YM5L8ZMTZXkh17M25qW33TrQKl4kGZnmRTIg0Z6a +z4uscCSCkHkJabNU0wIuBuClAecJ5sVZt06R2SvhBcP74Ptn6FG75kVvq9U7 +bVZ4ka3/Uw9OROTn1RLw5vJ40b7eWwMM5XCeC/DSjvNQABAylDVVCUge55lq +ATFQBAFpdoDUMyBW27WANJYHBBOQA4T8v9sZkEiVQGJAPNsYd62n4z5fA1Kz +wZEHXrWNkFLLrFEtJbGaepSAELJ4pSlx4sY88qSK3mBLpEoXU2JmHzt5HZr0 +KdHuT2RPzwV8rDUl1I1pSuAwQvgIJSmp0s/QPHB3GWjUUvjSoCmgrbUCNHrR +3Oy0ltq4NEvNJtA4rYWiVjoYmo3PuZQGQTMaQ4P5ZEcYGoACxqbZqFqnoPF0 +W4YGjNJC+eKjIxHtxI0zNNhIofXrKbKanSoUGBonc9LQkMzhPbhEtAg0esd+ +FG3NKa8iyBwPGu0ALdCsfpZ762c0OawXZxU01L/mUUcAmj6GxnEgnkaNAUBC +0NTiPB2Apoi2lgrQaHWmxUGTj0tT3TRUCQ2F5nUxNGt3d6Y9SA/qVbJsqui9 +OobmrfzZrOrS0wyGp+dy27LAsnFkMCJtd4xhwfY9aZRpWPS+TCfOA4G9uvoS +CaO38IsaFu3yQ7b4bMCreGsAINKHZxgMR9HPKe7sl8WBAB3kZdlQJR11OE8F +6BhFWzOT4Ez2x8N0tDo6auLSzDj1VdJB8cLdRIcZSqv98eH3UbaDtihsdpM9 +Fu0/7wPiZcYKLZ1EPRZAVj/Z6wNiVsjUqWbFjJXFqcIIA+LETBoQvXHXUCJN +nKwxj0iaNKX8f4yC6wOiPXAvHZCUNOllXo7eaxF45jSHWNRXyQu9bnIzXsxi +xz5xcszxYqYep+y2OV5yKV6QRaeuLC85zYujJQtYzGfsfzNlLoiUQFnXaoqY +3nWCJZ8XCaAkFYXZ8BRbbmsTXg79a1dEnkGjzMux+7hnHhn1eYFSS5LGPOrC +uT+wrdfgBEpnYPN/TPOifYKIl0zAp3VrQMiQBWY6EHLbhTbRUVbv4x48MXYZ +gBz9NGP2BGk6Z0ebKgCip6AtDpBsIGVKbZUrH0VHLn7qS0Pxgx8Yi699cf96 +JpNR5d+c9Y0BkcIIAUC8VFv88pBOSw6F+/++nXTaJg3IxlHWGg7TrzwFeywB +8uABK2nwqBvnvsBuX6MDpIMBIXGze74UEO0itEBn0k+0j+nWlIg59bWJ8nh0 +o60vgMcU2uoYBS0SQnjQvDTBeDz4CX7iLOk0Z0cbq8ADc1C7W/eE8MhXhUd/ +RIpIhvCojTc+Pxx/7J2T8Q2vXKQPeuHvPTd+/hWTR+rq6kSYeIa45kDnP89j +xcvHpTTgtCpL1Y3hzAxWSJgUUw7JRqj4rMiez/kfjvqs6K3AUla0j8A4zo0B +T6IFLUxoOZlyPtUTEu0NTaWipM2/lpbU5CMZTo4f5oH+w3Ebv19bJTyk8o4H +4CGgGirAo9s6HDyZQIaTmirh6aRzY/zMtwfi1btG4ztumYmvfdmSY+edN83G +R/ePxU9/czBeXrKR/c2BCUgpNg4MnyMvcRdzFNJyYTd2bokeRzD3syMzhs4p +GG1Lwix60NbLHN3/wWTvsMlx1B7wMPA40t5Hi9wGmcN+qm4+EhmE2HlyQpgM +INSDtt7LZYbW1mMBZmiOqmc+sEFIT6igCs1Mp2MmIo1FI5OrkhhrYamLnz4y +GD/4P8aIEJCCj7n+FVvju94xFR//RCHH2sz0cC4dje9Z6kL+CQzO7oQzl8Kb +PyKk/YJNiv4BOC0aHO3hvEWD89RqEhHhgaN3FZud9ivguL3lx8kX6XH4IpU4 +KWlw2J3VgfPMqcRL3gNHxxb3oq0nAA7FvOcrgOP0lccvBxxE59CnrI9acAY4 +bYjODpKtkpo2pmbjC8Pxwff689PKny7GB98zibmrlqmpyz9nd4oaL68SUyNF +QALUSKXO7YqakA5Mzo6F/lwpNdoLmsTNIFPz9E/YhvuJSXTSY4WewO5isxM3 +W5gat+X8OPktPQ6/JefQdOtOq9xs5baQ76uexYiaiXLUpGasTobozEO81n1o +IqJUCTUMzLEv8sL40XEHkQaL9gtGAxDRkruuAkS6rSuRPoBoykGUSSCqsGXU +T76P/eanP/OdgfjYPcX4zrdOx9f+UXCywg0iki58rdePVKds1C0BSeTz462h +QloS73HjAQV9gR9SfgrMD1ZD4kDtTVc0h33YxlX0aH705mOLkzrCj3OESfOj +PaC26iks5SerwyzIe3I8kAOmD23dmwFz/Cssjn4UBoY2JIsBYMiCV1slMORR +SYGARhl2T9jc5CJx2AupEK/2Ok4aWdiAE5milv/gCm+KMspOMyNy4uNdae9J +Lyu9qtN8LgyLl5U6FGTIsIBC5z3pwaI9qzu0sKGpg3eSSNh0B3YeW5ywaUu5 +MjzzCxqkj8P9yflFkdOKgiXkQuvWXZVg6UdbF8OysZrAQknYclXCQu4whQAs +tEcgaa3hL0kLSwULXGqljdywKSbaKL9JMpbRizI1ib9avNq1LqTUi+Wfp6Wd +r1kw0si807RhiuJpCdMXoXLkX0tCpT1bnlpiOYcYjQoVQ2Hh4ym/DMhVAsj6 +VwbwpSdheClxtPYAcdNUGhC91djqpIkAcuwQr72OjfmAOI86ASTxrGUcKVpz +nWIt1otjgcw8/YE5qJ0pMQoMz1VkQT4zmv21UgIiKBdEihJpo4iNHtaAOf+9 +IWT0qvhsgQFpi1cLJwSQvJpyjn+yQKIDIkSmnFtfN+emnA6G5MBbW9MRx14A +H/e/t/d4pSdPXOlk9RGeysu4OD/LI3f3+LjAG5smi1Nk1z0Fu+5j3qxkHvVp +XPSeYyJPWhkXt7X4HVq4PA4PqBLXqK3pCSkVvUWBOwKOyBOGhh4ROJ0BUhZs +WFd1pJAz5kiAFPJkqKmSFAr+6469SgmgJAphklOYAIf0jINl9epHRulV3YzJ +vptbNlKY6Kqagom3mcSY/J19yst03BKYpRiTOsHkwLs7IvKjG055aT/94yLU +s1Mw5z4me9a0Nk5joncZWx0mLQEHBg8T7SAlmGCJTV63TySYaL2lScsXnZRj +AOcOxuT8T8pgcuobbKn/7kQQE/LwHw5gQg5SuQqYuJShNkz8VxQmbp64+OiD +k3sweeBPgu7MdOMwyaSmGyM93HQDTNB25v4R+7pe5mTXqxpdjDAvZDzTLlU8 +Jq32eR4dXqJiLosc0mC9qPE2TYd21vbo0LtG1NYV2FZsc3OO0KEdF2jvKJ9y +h3rm5CjTkdMO3DjEbKd1FYotHy0HSGoCamNenj7BXgL3UXKCM+wVp9Nnhmih +8KChAC3kfpmtkhZKPtDBtPC0o2hp1MoJSCg73zz1ZeQgNa/qZ0q2vaD2cIoS +z0DHAHhVWHxpIiseUlr55SElltwtJZKcqBkKeG93o61P7RpJzIfHi95lbHPS +pJl5McqrnR7umYbsfhxeTyXuUMKL8ujWvDhjcZoXnXdiEOf2ACBbZSGkcqtu +Sgc0VaGDfP0zARI0HeRvLnS0J3Qs+3TU937jo4X1r9057k0vWADv3WUXvmb6 +sVPRIFMRCCT21rytAVJ8Kg7pOYZfHtJcKZp8+0saSqkwc4vVQz8+6VOBrSIa +9T+nEftYoTOwl7ilRIpQEhGOJp/RVGj3p60B9SSD8wJz4aLI1inqZ71YDHAx +hPMWZuCZ07zjdO90wsVDlbmgCOPBQHoSiQ9C+gDGwoV6uGQjvyKX319RnCAj +sSP+1ZhCIr8L3yQHBAU2f4zgIL11mCkIhA571jTuVm9jyKdA6i0cURSEFFIv +nLxdU0C9xq7YREEvU3Ds/gm3CURrmo7AhuGWEtngMg6YRyQbcgF/JqEAO8yi +fXgUaE21FedCINXEUGA2aWUASDx93GbFW6wSCkpKMHAZUFCGsBq7b/j0qTG4 +HYxn4jMPT2AQfGvyomkjTqymmiNN9Sf/UYwf2DeOiYPiwQrMRsRVkhwbpEnY +6ocU7+WWLc/1iJASCecUESHdE266zi3SI0I7W3tEnPlGsp3jEaG3BdudXBAi +SPd411wpEdppaavSR0XjyKJtPhAeVpaIYS0XQgi4tctXJoMIULKa/gppi/RU +QUFfFLKRIa+CHPlBwnEJweNm8shgVzlDvvk5MtvDVobDzEQZ6CT0ecRQBtmT +zKuQnYLT2CInQgYxyJENPQVl5rCiMAN1psmqqLvf8oZFQUUSi3irIAKryGCt +f5pikpfxMmVVc46TbTxvaA2DEftbK+GkXIKgtlROkZXUB5GKUqfgssGAn3YP +zj2BOBAyz7YHdg7bnfBpCngrEHBZxurp44n7k6C2+p9sXF8biwjJuUCoWRvO +I4GEFtQmuiut0e+e+fWgZsMQc/BqwQslAYJlLOsYg2Nc9lIBy2rAIopwzxBU +OfrFIBvHNVdbwDoIsBz9PqjPOOg5ItC+D2giUJ4PyqER5el7kBAMB4KmISfv +un0ugwsy70IUE5RyHA/cYy7WXDVtPtBPMi8wUvPiL78zsfKFj07XLS8v1wSw +prl0jLFe+yi5e+rCVkjB4SyAjLVXz8jHWtZlolntUlh7o4GxdiH3cPv0sHZ6 +UhprndXLw1r2NfGow0lQwdptRAnWIkG1l9ZiQAf3sNYxcVtwHi6HdWpObWai +deWOEsoPhymn3HCUhiGq0ZTTAb+tDL0si3QNSN1B6TsyNEXnKF090nrwkcEn +R3YbFSs9c5iXmg8FT3fOkmzGQZiZUYNZY8+8UBhR9iHzUqSa8YA1M4hhKcU/ +Xai5vzQEKJIqsrlj+DVRiH+S2IZ/yoWXAfPmBaj5KJdmsKdxyasRHq6RHcK1 +5AgLRyQccGiUucR8R0TjP0PuAjaOlDNcWUtHXVlV1B8zlIpggsfMofeUBJ57 +BlEeM7t0gIY/ZvTa1FVvD61GeMxMy5hZ+88+6FsnYf8s8avv1WOGNjw42xmN +mS2BXd0ONxU0BpxI5vVUoB3XFgMrFFq1zAZCApMxQ1lLaF3SWnZo5PTQQMti +YHSQl0kW/83Cauq4/8YkGVNxHPvilHAPZebXxL0BirgnXYKvH8IE4l6If9Fz +Sc7z1AA1Cwe90yol+EDz0fTxQvy753nKMZdH9hgzsvCL8Tp8DA1lS3cGeGfL +UU3lyWgw0eN8eb6X/vsfL534v789kBh8pxJL7gXRi0KWXObbS+nv8e2KHeIt +GBb8Dm+JxWg7p13kVvDQ1lEAHto6bZuHtt5w7nRoNwTcXGhSyCg/O5hbNNp6 +2UVmvZlA9GI7zkMObTLFtDDauvRNSOpnXLQIgZwh8z9qoU6QdQZE09aApThn +pffH7WF0powl5WN3zFL6Bqem3LKg2EqUYFyNtctaJfhFz+1M4ZrVuIqKY0eA +p5PsmU9wZQ0MX2hGgflJANdONIDXDj+agewA3fjehExWmLhoDiuw2uZyUNhJ +btFxTETnylqRSE5bJXU/1fX5bv8Mc7zntU0urF+5zDhL85ak7VxQt8nqMhTB +l/Oq0MsAQRD3pyIV8KgP5+5A3BM5kLYFNsK7nE4jEMNGQIMiDTHuXdrJT1aK +yLDsQayD5TpwHgwkjykGdJpGRbfUJ9nCghsGJRgbcZz/ieldOHfZfXSYELCP +To5fGTJF5ijawSf6383JfCom/3+aIyL4yCC/FUi8xaa8I+sQdPudN7IiElLE +X+Qr4i+yh1LE/zSsiBvo6+mrFPT0GF+LK8IvNzOIm02whpFfYuCnIcuDl8E3 +o9qMbzrOP2rBp43inrJr5hx9a3BEjNv/lbO615Dm8n98ZdAuBe8pkoSf40ER +SGXgmUvbbZuXtvUKb1Bc3JmUupCXh9avlOhCPKi7cO5LhWMgmZI3KHR8lzco +9OZ/l5Ps9QFXokVug92cN1fc0lUvZ2knbzoQdlx2PJDnKzh/bJS8RnCc/wkk +9w/MCb6xORT3Ifd8HMe+MGVRz2rUI+LcfD0mB4CEQ3DHjwCVxDuy/i1mq0Kc +5Hg2obqWbD7IB4dDFA78QvPYfrpVeexIk8swTFuksxrpSKYguNWJfmV0LYKb +FTC7GHnm8aTaantgd5uKGHVXMBO5VNhnKbfQ2dEFNhe6mq2/opiEXzH523yd +psbp7NhrIpvlfSNQY1fLJGXwFBJG2SuCyeS/JRH9bvOgw7aFlrjI+O8yeHjk +n/k6e1J/fTyiKaIrkF9wRJOv/RiS6UDIl3op8IvS5GPZa45oicm/Unwtnyja +mUDI1xGwnWijJNXkFpUtDzZk+GenKEw2suH24M3MS6bXzHqZbEFsfMQIMgep +0xDh2KTAiMJh3pSo00Qz/2DeATBTSzmdGq+iNwHoEp36rU6nhn5kro9WATLx +mIFJqwscluOHJkg5y1DkjN0akRmvKbCNlkPbXABwqinXVSXglMd7vjzgKwI3 +/qx9Ml9nAF+TDVWIdhKjDw4K44FicZ5TMTPuuaf7jEtWVXIXZMZDS1Iv60g3 +zr2B+BiPcZ05kSJ6WwNOGIl0r0u5diHryFa9TE35iNKWDK9QSboPgGcKa8iQ +WQfFV8cp6g4RdxSviWWWGQGw8eAr8HYMkwc+YmAxD7KO5gxNJIlNCYOLTECR +dfJIFGdBOa17MNdltO0bF2WAkOJhBw0GUAbfztdBCpIdc5ixcOVwW6SIMDtQ +81RmDg7UOMzsZGeqEyhyX1LoaPFS0KZys51Vok1FkuYYbZf/UZanQPvJdPHD +mkOE9ao9EBKI27eQONCnK8p5EejMNR67DF0+17vZ1EKivSMg/iUJdaSyo3hc +S3ouxOvQGrUzkALS49ptCZ2mj2KuawM+aFvVGlXcWafYEwAxyNBccBiNPsMm +SmL5yDh9s1H8M9DyM7DOQ7X+1BRxrFkmyYwJ/x/nyFTPR1mwPaXDjFocZqCW +16vxnHmR06tJA3HCntwuYeA234PRiwPzAy7DXJJcHUq5YD7B8cBHpzfBPZfG +PQPepeKizj81HljM1DH/uvBRekxgd7wGbbOXOyaoZKPkz9aVOUYDY4K3oyDu +ZVxEGR4LcOK9ZvkKeiRa/bkv9aZTfXi7U+0B4P3xoYuEyvjwlro8PuDS6QIE +evT4ICnOYUk0PjoCuTApV0xLwF2mdHzoQi3WiJ8jFxqk/sA4IdbMWMhQaaEc +jSdY8XEc+9ykHQtZPRYiGgig7AMzZPHBcddemP/eRfrKO+aFzcjy6usrblTk +aWirUZE2e5M2Hh4L5gPps2kSI+nOgxK44jAXZ6/TbvQn1w74c5T8BpkGcJz6 +GgbCt8azLBMQwWfarIr5rfFuTIB9gdFAkTYyJejCNOIIojeBCf+ZAP6DaOtg +1GFR9eqO00KaqpLPBKAvVoZ+lcqKEtr2DMcxeLBr6DnQQacq8ZK9MvQwQG6E +ofeqjXTaNm8py7lu4FLg8tp40N9wXRJV5UGvM3x60GtvoB4HfZ4Bl7w2UHrI ++m4aaCh4lD9gD/OiDJL4UXxEBl5EYPtfL43tv7CHWXwYWq9bYm430cVffgVP +b54KE1n/NJlGZGrBV2PA2gsx15W18xGotnMV9pRx0LCFtcr+Tkxv+BIaKDTS +kWDOZuVgvzi73pkIBEF78OtUYROBqaC2yrGQx3k6MBaG0Nae9nYoPxYwq0o5 +hUL5sWAXtFYpiiQGFe5yt7x23hsLKimLjIUNDTKPBS+DnD8WwL2rvsBjwVvc +8lhYjtT+bS/GQk8gQoz2dNsD+Uspp2lzwCeKst2SpScDGyje9u2x+Mw3x3FE +lHwwsrtXq5+ZxAF78z1TbP6BBx34Nzf/fbO0LZbB1ELjbYGKf5jDTjmRDTIx +rOOIskyz3stpD+g3afDd281HyoDylBvoZAZ5If6DIP4eIt4s2pF6E2OCVgSk +udnhDa0OFOMgZc8QPxkIx6UQ3fFAcpEetPUGsJ8MYJ9nxHX1qUvCfhhtWypi +X4f/TTP2usbMSJXY1zDiQB7oa+wPvLUkuYy3VcWKjJdwZsm+/Bb+Ks7zTMuG +LtvmrXcZ+4Jgj2REHvaAmLZM09hrb5xGasuRKwMCbnGY5zM0P9gRAj8xc9i5 +w8j1T8OfA7oTHEtxmHVGBnu6Rld+HyQ9lhbY/+UjAX7eBx5yfat5vRB+CZr8 +daS9mNEi04SF/WbS5M3AgvaG4463z9Nl0IRjeDdPYx7iUUmfjrFh+M/aCcuM +Zof8d8ZJ18Nx/hiQ/+loIWDfknW+c4FODwOdv6AXbT2BbG6UFqPOBlYYOpcC +tNNkMBWgfQRtbRVpr8f/pph2XTNnuLLC42jPM9lQdu7cPe3Rvvd1Sem9UAx4 +SGr7tHs1c5h2b1HAtLsQG9Rr7APt3YHAPUqlBKjNyhhu0TjO/wBQP2JOsHHm +KOji+Bcm6Dh2H3Od1VxHBDU0l/fPgGw6zNdkQBSPL+YssuzlCEXaBDKS2BF+ +CVo5jQfNtZm76LMpVMh+s/0WoIsLMjhDw5rm+QaeR5h9MjQT2fq+opZZtmnS +whSGDT1MaBnMbdBeTlA1odgvLpZXjsC0Ge32MnLaAoYW2d7TlUMo18dYIB9D +2YFAIWq1JQNB++TRMJm85IEgE8pbrEseDYlJHhK6csxQ5SGxJkNCsihg0YvF +rx4SO15an44mukr7JfCQ8IxF/pDwigZ1BUYVL3y95FFk1DcSZ62YrQz7vZO0 +B5yBs3hkfRo+djsdUZb5Fso031ClUpr51kvVzK/bSpxbnSdPH8nTgt1nsisX +Yh1a00wWw5DCGGTygS871jE4jO6WwfREWUYymL8i65gXc5HgWpybAo55fW6R +UxOokyWMK2uYZlwbeps042SJ+4jdxiDGJbeRTrY3HdB5cgy6rpgkOo/2R6rH +eSIAfwFtrRXgd7b8s5RZ6yw+pQT+wSrhr2PQ2cPBg3/bC2rTxRU9Yd6ZEH4w +DL/USaKt3m4GPbAApmxYr3hxe3znbQjxM2ejbfwtaRt/Y7SNNyzgwE9/baJe +C35CbSVVg2U3v4n+T7uVom3kSKtJtA2H7e3A9k7YCe8mY8/HJzHmqFhwFsOQ +ttxoQorszgTPU7bqRqRC/MwjKt7SGPCT63cI5wIu07LxpqNFM2hbCCQp8CDW +KSz6cO4KQEwxgPnLpbaItpYqqW3EmbehvOpOXG14N15UDbXnH3ReCG4fNpBC +yauswdR6Xgk+tZ7ZhqkNLFVrjmSz2fiKpVnHlQHTQpohXvNEr+GYjjtunQPY +8V3vMaoHBHSOxDWifHA88CGmLKcpi49/3oh5A5pMAcgkiMBBHKQLGdgaWXfC +tED98Qjpg6cKWwLOQFRYqiHg0VYKoVMAFIQ6KDWLtvlAIgTKfzuqciBIcVIP +Qp1nkALIaqqEkCyL4wEIyTWguUoIm3DmDSOrznC9oP4qIZScOWfuK3UGCGRk +8nSEzkQRuBCG0KtLyxCGFo5eDFk/zp2B+FJKdNCmotXFDcbDQfuGDTgcstz1 +FIDONcUEB50n28PBueiGcJCUGP04d5bDITWxZpgEXU0qRAf5kI0F6KC2pirp +IIpGA3RwleNd+PxKdDQwCWoX3U2sF4/2+VmWUtspXclM6ZykttqverN9SswK +5CjVY9tCCy0vX9cAzh2BOFNKq9MaiFan8pT1ASepQbewEDow/sX9VbYbSYni +xNj0ujkVYShxppSOv8h0uLCxdQpyXS9KdnSdI5CiynIVcNDOseRgMRrAgQRI +YwUc3F624MCbCl65qL4q9axG7nroWGRx+PZAeqNBZ1TyvIS6kmnJBc74OEh9 +qHMKB2+RwThQ+i2J+RrQwkIHnI5oHHQK4wktLLTnUCIsMgFHUsFBF7b2cHD+ +ok9QFOETiCJ0+S0kfYGHA/ZlBYd561KU4EBRYikcxJvUw0HHqV8SDqTosF3d +Kw7VWxmHI4JDE3f9/bdPUKICrXZz1qSCwsGztTMOnpONh4NXDQoY9CTyxH2K +lKmMVI6tQS0gnBv8qYIVEC2BnMWTWkBoP5tBR4TtakqxBS/upYAhghSO2VQA +IPZiPBh0LotBnKXchk7oZ+OlavTMIQWgoqUADxRFVQzwQEpuQ5U80HJtJMBD +T+XZ4pDwIMnVJIGF5uHgnrZ0PJBnhGYePCWXefgTO/jxVvQ6sg7AnAEHQugN +FMpMPuYUJ2Htcu6PHeDlzZTMNrNKv+DE1VdfTYDdeOONmHYYME9JZsC8mqce +YDrM1ANMx7hPoa0u4PCiACN8tC1XBA42UcQQQMaBmUA0HlWtGwFPtM0yjP9t +CZC1wP65QhZTFYKKgjQKAajI2FWvoCJRVQYqMoCxXdcrAMSlk2/TCip31kHx +cNJQYVcDWUPxaIa3+iSD8Z+9bOBcJpNhrryKYax0btf+2MzVHyfC4xz3r7nB +1AZACv5V1bggHD5WUngh6p32WXL8Sa94xStiaDhmgXW4tbW1TV2OpwNLkjr5 +bCT2GgJj7YGYT8pU2hxIguwxpp1GhrQQ09XJtgaW6R5gOnSNimgOqxQKkkhj +SKOmEwUuOvV3lPSYa64OCy+KcxsJcEa7C3XMlAp9cZxRwtTbbW072l8bCnDG +NZn3IxKgEmctagcNGXfwaFJlWIe3nc57fOUV82vNzc0izDyDKveyp7wwdK+g +c50L8OUDAEKwATzElWUshzAptclV5zblsOZQ6jniMUP7Ifn4hhtuiLdv3y7P +IcIB3IZ2OPIJ1hK24yOJ/QYYC0qQ1OmVKbCyNuDSMewUb3T5N8d9Fz+SYOTg +NM0gYsNXjEYlIEouD2prS4F49KAGsSibvQ5E7epZFkTa1K2tAKLbsT1LPv1n +R9lw6RWv6qwSxNbA5tYYr8ZCqf4BLDQwVInY/gd1oIiZ9BI/MZNemkpmclsC +1gUFDxmgsva5gjmdUM8dVNAFgbSwNu5Lwbg7kr0C8y8v/068+tWvpqx4DL3L +aYW/kJcdrwO8IrFE55ZAVCRVr2gKpHH26NROFh6dT303cbDzHKs5/pc4nUoF +RMI7h2qVD6m0D1xNOBrRnNKinDMhLqYdEpT2rzmlzBDDl8sp+aSxqdKriNQR +4FRpe8IqBqLbcQKTeDTCNiVMzJSt2fBbprRAJF5rgXxVnosyq2Ve6sxFDW5O +Q3Yo4bJO8Qz2lpJfQs+tqKOgWE+PgxX1nKxRcYXLz3ve8zS3VwW4Da1WvGRq +Hrc6EHJMc/tClT6azvlAepwRnFuZ26cfTWxanuP0dUul3ErMF5xBO9A2GEhX +sim3D3yUMy6V4ZZiIIcC3JLfZP5yuW2vzK1bpbQzd+DxgTvG6dEgG+TBbSiX +J2ePJi+bTBw/UqYeqWcdZW49m5jP7YaCbMnxkdsb+TLYfnhuWTWvJSR7hcIi +Xg4xkW7jSxEZWt54cSrDOLcFohA9InWOao9InUVnREtSQuaeac/y6uzt5hGF +sogbl9QUw+68R6TONEJr6tZALsjF9FZ+GSIp/d9ggEhyZK+pQKTzWjlLIWFn +R9ne7tUK21J+xj+kZ3yRpKCPhuFdZL+nNsz42M8vSRvKWapp3z/LSEbpxF6p +7u5JMN0rbYzkyy1kLhk1Q2an2lyval5PkFyJrNaKY7tDsm4vW21E8Dk1MrKK +bsiDjEmkjYClqTyROIJzayoqEIlJqWBmYyAZNvFYE9hfL2jZqE14i8rUJ+Gx +dVo26jw4HS5iKvKTHJDlt6UqEouORB1SQZltBwIkUphRrgKJ9G0fsqVVKaqO +jbleUTKuynsQ5xSJnu7ZrqgjvfVecuUm2Yg28TCX+dylJv3SEO1m5hjE9Xu7 +06EWnjGYQdyh6x/6IK5EvrJplcacns/bfKHm0hhm7EvX1SfgpbxbFVrneHV8 +Pep0nJ5Hnc6pTVk2coEtcfJhamHqrClyzqOO7Yn0qF7LP51JphPnfqbObTqk +qdM5LBfZyuNCth+DDbEocTvagbssePM27UZ14FG8cm8AvNYqwZM86gY4O8qN +aOtQyiSsPJiURZnE5Lz3jZwB9dsDdhszz/StfaQkX5e3C8X0eZvnPn37FTu7 +EvqOqOarEvqkbLSmTy+WpiNvr/Rcij5CHfsZCJwogL6WVDQddtSpsnRDIFW3 +R5/eC/fos1Jynh4JfdpxlHJnTASSvXj06ZwYtBfaXIE+5Z+BlhB9lPe9/3Lp +owQRbKT2al+1VElfJ9MHymRfq43FHqqgpW0/ohKeuW+EtsTqGDwOMNBG7lg6 +W4HXppOu+uAdVthsS8A7qJpXEvC8+moMnl65QOypbVi3EOF7sCwvRZRCQYs9 +HaY2rsHT+6o05WYDu+6jaGtmq7YVlAt4hGMhUIvCY4/0s3fZTbUunPtS+ScQ +hU++QU2BLJ0y32rfoAzaFgL0URWTvgB9C2jLVElfL87dAfqaq6SvK7CN1qwm +Xah6sHzLpKtqZ9EOXAPTp4vIsvbnhXX1JdLKkbDg0bcW+fKN6TugmmHA4TgZ +r0gb07ekXgoSQ45HUuZJXop8bUUt9gCYxIuR2KsP5BT36NO7+h59zkvEp0+H +FVNWt/FA+Eg3zr1MHyIKidcfk/q5Dn8lRx9pcYo+7QWSCXiBzAZgpPpLvQEY +JbmboUxYjJaYQ+gOSNuGR5QJsSvFIQq5NVXJoRSpgDFHtu/q1RyMuTmdm14b +dIjZJoZxzw0leaU8EznD6BWP9GHUM+hSAqM29uxOPhzLj5XIM9aQeumy2zOg +WpIejsIbMpI0S16KUskeoDqIywNUpzef14A6J5LTBQtoE8/LmJOt4ZHSVJ8u +zgccJSlZ51ggtMNDVJfW9hDVSThDiGYDiM4Eop7KIirZOUOikvQXRpRS0nYG +qn5x9dy9m9nGexhR1FaRzcD8JrYbqsNy1yiZ1VuYzh0vqU8nePLWIkyn551Q +ns5CQqe23exxH964mqJOTOBexTkG2q7jU+bECosXWlmLzz1h2syYOi3xFPk4 +nML2YMne9ALaMgHnhzGcGxlTLFysnTGFqXal9DDVgRc9OPcwphJ7jV1Fiklt +qBJTSlkw54IxqL5qz2XQSOnYOwI0NpRNwOHT2GvNgWYRLFGnmK5hUzQMetYa +ytB/34hVKtsYwqtmbW1dBSF42JeC0EvbX9V8HRaRDXoaF0MOqFvFxiAsl/l8 +fi3hz+WBwl8o5oP584pAe/zpMKgpnGsD2d49/rRvhMefM89YV5zTxbmA7yZl +hR8NBEX04tzN/LnNxK+RKwNnc6LMMlsDfno1aJt11FEZ8W4mDKnqSOlVebjh +e4lsLlVRp4vZ1Qe8bELU9bErHuQfZBvaQ/uCsM2Axae+NGQtjO3MXSD/kZe6 +mrmDQXk1LPy0OFuOyq5SBGrVbOHKxNdff711k8i6IYC/kI8X3wP6TskXNopz +U1xa98zDTMeWLnIbgsrYOwLS5zR5AnqmGOuLkxCm/T+bNGE6YsEjTEfYJ4RF +knl0wZNwJaylJuIph14//te1CXqSSUWjh1yjeERFSdoDZYvqqtya7lPaICwx +EG16e08sMtAGyZTYycgFUhN5S4K+gHjxkdNs7UiQS6+X7YfX7VDNsOU4v4ib +bropXl5eVu4VzmDeF7guuQl4q5SZ9tiTYmrP/IyCBU9hG6QkHbtmj90gfPYQ +6E6rxkdHffa0pZqkm+Rz0IEKfTh3BcLcp9BWF8jSKOyJA+qpr1Pu018WZ54F +bE8mRUxQUoA2MO6fiqjK2pYAbLXllyP749WBlK5n9ToxwLgCSAY6LjpOtpsu +5uzCg6nKvym7c79tcw4Q+Jv3ONNz596EM71VN+04a1hKvRp/V8HvC3raq1/9 +6uXIGmEG7feGVhleLq0xnEORMNNarum05cKWdmAgturTHl/fHYN8OV2cDfiu +Up2lQiDqoR/nzlTsOJxqKKiwtgJb2uuQXjcdCIwhyjrLUpbTlOFYCIBGVR/b +AuW28lWC1qWUN9hVkoKwOZpQMbHythzB1sOwnfiPktQ6npmZYfMcF3zYnN9y +ZJcFHJKlHWouCIMs2fRzsr2r654P2y/1Fgr8o72y1eM4N6SCbE4dpkrziRRz ++pgiTbscTOJcx6RtfJulyVcnfNLgcyBVejzSdARFv5ZivPVLj6Y0ac6RphJp +qRl0IgDeAM4dVYo3qi45H0CP8nK3BtCrqRK9DvajR/RVubJ/CA8UHY/35Eid +62cMA/WJPaMzY+jVFPUwrNG7u+dYYokzgnZUhApmS47WisOs2HhkIUv1HZhB +bzbnX+8m5gs/HPYZ1KE8HoM67m8xbQhMM3j+R4m7FjwSihKooZ1cW3EeCYRt +DGhp5zZ+14tW2uUVg+QUoxhEFkmadr8wGdUFGBwPMDiIc3uVDFIm7LkAg1Rx +vSVQWZCrmR4KMHiAM4cRfW2BbTb4dMk8q7fZZJ2rt+nIsDLIMOo6yMoGvS4Y +DOBE5cZYvWNXGL2i2J3Qpxe4uxL6pFkqMHi12Efs13prCPYD8kptT2j6qLM/ +ZCOHiL6aQLbtxZSVD/RN4VwbcLqitmnnz7oF/xsORIcMoq0jEOtMZ1kR6MR0 +wpx2tqYVxmQAsiGctzwbyFCAgJB+YCqi5OrNgbJ0XAT18Ga25RZW5iDMQrtp +bCCRkGjZiHNm5WHmK5DdxSuxMWDbvOlvXpNWowUapJj2Crwt9RxNvMycXoBA +YEp5RJrumTlv7cDMOeGKnEgec6SA3W432ShCKRfIc72YNtn9aNQyJxIviWAr +WoknkYraS7VN06fjRjz6dFTrJdFHFrzQNHtJ9FFN3tkUfce/Ogmt+OxoU4C+ +THn6vGm2KbWblnafRttTXxqS8EZYTWh8S8hjgelbeXlDOpGKZzZm+qDtrafo +Y79/7UEAwy2WG9ACMS9CA2Tbm1uU4s9O6rV6ZQLbHJXIe81rXnOwq6srqqHV +R3aPfh8bU7xFhzhEymchddEkoKxnKMGdxDN5UOrE1AKljj+Z1oIwsSMXrSCc +Ui6oEn5NInEoEGtCbe2qiDwyf+IRoSmZa3XeNoESji5XWtfUqCEwDY8G4m2H +cW6rktEanGcCjI6jrZGVP2RyJhugLThEfNYGuNS7a2YpSypgOXdpiU/RmW3p +/aMM57bnlyQ68czJDKdX8dWDk6iQfQ3TbdTmLIX4s6Iwv6JIjJubmymI7gUv +eEHevuWCfksorJuHqFeEfEJDqAOeaBs4G8giLRDqiBPaucgzhHbxMkePSFpO +BrxO23EeDMSZkLTcEojonrMZ0xOfZ4FQrMcMID0KQVgMQDiCc2uVEOZxng5A +OIG2Btb+3DssgCH+aqtzexavQFibJb8svXWc0Qu48HsWZTZ/eKVl5+zL/zhB +D8KL2Mkl1rlt8rE2Ciqv/VPjoaEhQm9sbKwCeqFlCFEuLvgk/+pUYBMJqDR6 +OkHzIicqVOEkaJnW9DlBmqZPB5V79OnoEY8+HTM8b2M8S1OVheijDeCxAG4F +nFuqxI0qyU0xbihPRUPkmx5u7h1lZZ1kqJQtspBDM7bIxBqD5a8kcKX3TjJs +gcrWnt41GGhj2K61DAA2gLSDASNHQetSVQvOVvg4fM0111BCgquvvvriH/7h +H0Y1K/TR3uzcy8IssNygyX7HtkaibArnWqYMap8EKNFcmwlkRN7KlNEGhA3+ +cJTVMGXKuyoii9+EKvcjnqUdOA8EYj1oDdzGlGGztmrKtI8z+WGFZtZLoqwO +50mmLBVufHaUN8dQ2enE9a+ySWbyAcqyStMLbYixs3Ivvxh7aFjfurdOMWQX +v9UnOw1iVPHseAyZJ+UYMrsQqZHyfvt2qkrGFdYJXgocDxYdFbTA2STBgsoY +LKiQ3mWjMkpQcd4AaVS0G6iHig7CIJNdqwswtyGXpIppX7uyeKSmwJFAogt6 +trkCLVLYDI/qcZ4I0EJyivezDv/im5NLz3/+85Xkb9K0OJMHECjjWUwvRoUH +ng75rTO+o7vOeuJVBWNOvDKnPidYR64zDxsSx8OchFR3WgaIr/o0zvlArI7m +RG2Dbg3YdTOOlByTAidPihM7TQrM6eJ4wGmzU5OigyRGHCmRH6C7KK50X+BP ++clYUJ40B4AZZmA4X0GizDeVA4Z2sRrKYULaU77s8rF+H/q5kusvIiNGWG4A +Gcq5aZCYZTBWP5jkP+FZSuJd6dGQbcPO1ImgAPFLyBVtm6dGMxArAELS4XhA +INMmramOjkWL4lLO+5JmQom2BiysRAOp0dmA6w+5Y4wFnCi70NYfCF4gudHC +PQ8/yTQNzmvtBwkN2puc4hsKge4nvaaxYvfTs+OB7qcVXC5gpOcIpmnzwn3X +vuwKz+8Wcwn73Y5yz5Py98Exr+d15eOQCZR73lNLued3Jk+5EmqjgZdzzztT +FtLezKDnawJhK9LzEAU8P7ie19bNrJMD0vPYeRanG6/ntW+i1/M6cIC2qpsD +AdDV9jxF9o0Eep6M6Q3c8+cfZTPlF6dUz5NYGOOeR2Fg+qJj4xHZl8rbjWoO +v/qaJU9bwNp7jCcB08Hx+a9ytsYD2KV/hGsBn5OP4R73nGd4P8SbGGa9HvcK +ilmnM1+jZI9WLw+N1+M6VGRr2o86tE/8GE8P1OMZ5QRjLds0b5+GWue5+WFf +pRttfdzjlBqU3fW9HofNRgI1pcdRVkx8Xcr2eEryD24GgN4MSQAgRWI0AAAl +CpG62MfGQ/Xgjz0wxeVJH/zE9ObVsFdPPzRhNM6CKKS7oGLwrl00ruMzz3yW +kyx+diQSeHZf35h2lPZy0TI8nhuDD49XtYvh8TRMhsdZolFFelbDQwKb86aJ +uAhtu2kbYM5NFNZlJVEOfjRG3vfFgIdeD9p6GR2XF+0JCiZ6AgEdJTG+go4z +zXx9wqGjAz/aAugMMDqcfSbZDK6viE6LyzsjVaePjXNhZq46DVoyZHHJAhZV +yHlzYKTI6DvfshBJ9dK/rFi9NF2FukbXxdt4xR9dQTquBJPp1RDJrRoGzQgs +2z9fHXTwbf/9kkK3ns2Q4fP8oH34vJJYDF9IbfWqPxN8OSWlKLmwgk8n9yzZ +8zWPapzkYviUl0uzllskEjnovFvDpwM9yGW5MRDWK/Bph74QfJT+aIhp0+k7 +aEeuLkBb/+ZFzdFlX/TY+rjP1h2zgosSRlKPOZLC5FgxeaWbqwetVoNGBy4f +hm3zofYLaA3vyuTePueI12VyD8yQ96stfG7LPleud84Z606QY48RrMn87PNN +algts8zlEOnRXOJinS5n67E8nDDv8o34fHvVzZnvkBZODmJizPb41sEiwrcO +oyvZVRa+Z9gpWvvVtGjJSosm9g4kydqjfO9RYKoEbjg7kCnBwZ3TcKNFtlJc +dLrwnRKu/QHc7RDwq5ybo0yV8xLEM1RJOUeRdbgi4EwcldY7N09lLHqXTLlN +sV6brltEr+G2iCvumk+KSurmvq20LHR53l1ZaDNLiHqxCfySvhNvIXn90/Fo +usoBUcS5nuF3O0VqQASSlhzZmSQPiULuY/6A8Epg8YAILU7IR0P8tedsKYjS +sBQZEC5jU2jL+4e05SECH04+rv6bPyC0S2Mvzt2BYAAK9WsIBDSLtNclcjJo +WwgEqLQHhkRTAP/zPxkvg/9h4L963xRtmFvogL8tK87lPSOuzkx1mqlis8Kd +K5dLgeiKuOdcMQyqKIDngiV2/3JrNiXWs7r6eZS9xNLnPLFheW6nOQN4rdO0 +aNd1hHmHFCAz4i/GoqkA77J1vby8fPia5SXyPSLeG5ntu97O5Q8V7xFHBCre +PTsu8+6ljGTeb07YdovxiWQMpJdmXg4dj3cn7BXv2qYb2k0nV98p5h3FcFiR +iSiHiVR+0o6VHu+0zW4EOB5RYHV9oJR5mne49RLv4xzAj910Ko1sDqoba1bq +FLDA6g92DOB0KVU3EaGNzQIcVJeWioqr6tBvhdSUIAgchmOpTh4uEB0Fqrik +y2OUhfnGrTJebL1oe9h60ZdU+NyO4BxhDC0OxzOPj2YqLiPI7WU4APdkeWG+ +SxyfUAuCzIvNDLKrZ6gsTeceKClo63m2M9xePUMfbq/UFcMdWjp6TurzOGeU +4JbgG4FbG6JDu/S1Wphr/yWCeyTgsdmHc1cg9sGDW8doWy+mBirzBMBxIDZC +tB04ucMcgWhEo/lkbL3kZ83x64nj8oXOq+H4pZbjLOseoWrnIXpFazp67zRN +JzgMxBmeYQzDataxMxEmJkhwpLKm0LaaiiSTj+pQgOSJsiTnSC1RRSWGAHMr +g+uqFCqYOWnLkpLUnquK/XS/SuGMB7NXpIph9paiDLOX7ceDWUfzLPIOijKi +o2UhkEmyTgtrSozGrk8ez1DIKW77cXJ2f7zYyTxDY5F4C8r/U8eaufAMTg27 +Usj5W1RFy3Irh4duqqi5h264jnkpt5tV0WKrEWsbUfmC5imC55ngf5jjy7IE +hwuYA9+vT1CIHGadDMYZxPAPxty8ZOYoUsX6eDkCpYQUOkmzkKuINoUADAbQ +Hi+Ldo3TuOGyRfLmwcGIWrYwyy516yNkpX0EtmPY/m55zXCcyWTaovDOQCEg +gH3EpRQViXhG3NPVGXHIfzL1IaXQAoFOy1EdUyTSWldYyWjEld+BRXxSRemS +xeY02d1Ow7O0xOVUIZ5LjCq2IDF5IWR/nXXJc7p2M/jm8uGGQZKntoBWzhU8 +vPRS5OnKtUxxBhTzVeFX8mELN/tIZ8h+ZIU+LEcY1ubIcF3yFNVTLiq5O7DU +6A7gTqHx2Yq4U6jVAOOONSq99+xoNFYW97xeYGrHbIog6GDiXdlB82iCzrXx +Mw+VBhRcecX8xfb2dlFXsO48ksLfS6Lp4+/VtGL8vbUn478s+COx0SLhnyUB +TmaUw+NOU9FBJx77OsTOY19nVqek6kOBwkKURZ0s3xnKtG7rt6JSNw7DesZV +ap6k4E9zRJsXKK8AuSW3bHHPzuo5z9pK4vb7oGrRZfzLLAi3QzBPW/0yywB4 +VqhoSy+bMG2jUVn7iqQCrdsdtg4k60Wpk6SjCEPMdwWYn7cBq2WYtytam7/k +Sco29uRof4D+0Srpx8HO4b067FRvA1t33Ib46W+UiXS4bZLmgj03NMHBsTnR +XdyWTyFpOxSeB7y6WpO2zVuU2mw3fkFmGQgaetkq1PEvNBDmA54ilOVmwu4X +2sLJtkRrMfHzphiYDAWbWsNlaW3ySyE+q4m3OpSr1kwGD3N1uHQcUq3Zs2KT +0KeqiWzBJmuJ1XiwfE20IEd9Q0L9P886uY5roAmR0TczE01S2c0Kk9NGaT68 +kVASdVGD80xgPFBx2p5nOwCoHtiTNIKeHO0LDIBilfbFTMAJnRw2u3kkqN3x +yEZN1MUbn+McZtepHGbXLUrUhWyOBnLyeHtRPCq8rI08KuyuqKsnRtlSpmyb +p0zxqPASO23lUaFHgEwPpMtzGjxvVOjN0XqXf5HykGWojrGtalwK/wRKIVM5 +ZMpPa6slM/zVVHWu9areioTncqCRlLZVWk6UHg5S+JYO+1PKjwU7A+BJ3B4u +70z2PyrvTAeVd57iCsx+eeeypcsp12k7r3+MvmfV6LWxiJyGagKG2NBooVE1 +HRgtvTiLioT1MKksJyjZzBkONNKD5ZLGSqHKsSL57SVnrov37Q14AwypsQI7 +phcI/FdzNLuYGUUynC5vLUkd5MX3FpIBcSE8ViSRPXmv8lgJLZa9is4yg+hx +IWPFpWG2zkZSESRHHmdYLeM4/0NMDqs0Ph4aozxA5ojI7zmLgsoZSphhAz2g +f6HoORdeplq2GAlZKs/MjEduPtjKkl6pP2VL6lYsA53VZaAN3fjOHL2GNHez +8KEh+rH3zWYvaTR8k0aDmRNRU0KPhp6AzzaplVsCEXvBEQLTrYwQHavijRAd +O98b0K86AgNGkrZuNrNQRqReHi3Yv6PfcXY0Yuv+Wnx2rOJokchiuN5KZjcv +zF27L/RRW723whD/XUxL5L9rRox5PpLdsEBFXW/nqxjQoqa9IeNl2uchE1p8 +ewmxZMjo4dHJpiX4bHGpZVsG11ZgxkIF2c5RKzdry+aiVLMtqYuNAxxUaff+ +O6e5vLOdLzAmwPPlVUkP2iXLjhWME7TbHSw7PvFDMU7sVUnZ9MjucSMtuzlo +oFAB9UMT4YEyRkllcZz/EWoEP4pAVVqEYZoki9lpmpe5vNVAwJ+dLBNtPIyw ++CKBe4T8AJNhdOWVSboJ2RVx+9/rpNquF6cCw6gvMIzaKw2jE5WHEaWz61HD +iIwmZ0ej4SonnRqXkq5Nh+VjMNAtMQOim6caDJ6gd7OZfsyUJBsPgSLA3g4a +jxuvrqc/bsRoRbMTj5vQqt0Ll+llo9Uzx834WLPH+e9jjDw8anrya+NZW1W6 +/MiQ+tSYC8RiJXPIr31wZHlMiOaFsbFJVXYeFXbGy1EMmZkA6Th2PywEXyT7 +51fG1TRpps4MJtLIOnJzmEckxbe0fx4lqh/jAYOZRfJlZN2A6Q+49XsDRkek +kYtnLpCnQAaMjlIjC/ZkIF9GP86dVYyQo5+eDo4QSj/aHRghQ+VHyA6diSDP +E83O1yy40B8vxcD9/8RpmB8hfc1bwmDjQtQy5w7+uWHZ1wikn7qoN+R4rHgu +SP5YOcJjhbyRpgNTEi9hKBvBwkQDMZ7hOeA2GPj/lvam/mYexdvpuOV12Jt6 +7SJPQon8roh5bRpzAovNSREPFNK8KkKO66KxWFoU/th9tih8ZAMVkhnPzIJU +ET6yXs0wW2O+lOBgvZ1ODqwzAQdBKlMzGvuFQJ45UQzQr0si0l5NK9Nv1iN2 +Lfu5SZ9+bcEK0U/7kROB3AkDOIuahY1mGnU/GXclQWgi+vi0JFUroZ+SlXcF +6OctjPUA/cvxam8q4tcvLuelOJDFBx61pRYlXjAdL0qMOiZ5JTkf1lVqpvB2 +8DiSYbes0Evp32D6Tyj6Qwt4ioEaGxtDT9hFrywAQLhhXY4MRgCPBzMy6Ljj +VtB5WwmdWU1nRNML0PzyOGYbHEDzYaC5Rmgep1ynNE3VsJJ313t4J++k79kk +G+QerroCsYerriCSc7j2BWIvyA+kJRXYefRTU9G83WUpXTIvugi+hnKQDuIs +Sgy8IGhw/LB6SMm3tVNBSr7XkvrUQtqLn6ogXTJKzAWBVLLA6MpyXqoDqgV7 +nfX0aUqtBe5480xpLB+vBUicG4XxYcqb9f4kbxbj6tmWGFdvi4JxvcleugR0 +4XByPrSWZmy9BGyyMIDNiTA46XsHyT40BXNNB1ziaNIvxqV1P2ocM73MDBab +V3L0RkGLOKf4PlG0zGQCWTdExLmMzuRY4fyE4F/P6rjQk9KIW6uB6UwYJipN +08Ew6QrW/eVhgsRzMNUzTLrcG+kAE8oZAdLMYpToxoCmJCHC2ynyj+z+Oebo +4N+3pVNeecyEArh8jsQWI+JvSSnK3gKTOfLKnS+yogzBRWh8nxKULqR8cbC0 +pIDiqYC3WQvaCrFfycMgFUBJR3MUtfhxKqF5tMBthhFZRznzhI4IJbfksUA+ +l6EARS1lKcppinAsBECiMm/tAZD6yoO0PV7tu5gGSaq0Hd0/ZpdbEjOud/3F +UCeKowHMZTtQiqNdjOWZpH1vaNlIkeQFDjNJXglXnyQxUdy22ZKLSfISoglJ +mPKIjG+NaZKkABuUNI8k7drlkZT46dpkfD5J7NFIj4ikZhVEiG2XNEmsYjmS +dDQphQ6NBkgaxrmtSgGUwXk+AA9VrdwSgIdNXhvxr4LwOL2rgeFBWJj492V1 +IDnNdbdJjotE70JbGb2L8pDWMTu7Xtnop6aiJHvj9lK8BfuUR4ykJ5jmOexw +onrVeguPyE6VRAsqlMv8BXlDvf95ch85WZgPxKBSdpXJgOtUK9pGSvxcbfo8 +y4tYR3W0g8cLbVHutSGIi+kiGWr+0jGoHi+ucOkvyenyl0WZsOA7RyNhdSLI +CxU3n7sUXti2c86cp+Mz5XlpZKOo8qBDi52lGu1k9i/jNE/BMJqus6uVHtpu +aGBMtj2/1pVXZhFzSOJO8TcWaPOB0aX2wNU5BYynq0c2BpqAQf1wAQaKM93E +u6d8YHQIa50WMNoRyQPGImE9SfMlwOhoAIoHa1KBh9hX1sC4kJkUMFL9lsJa +i4GMKCNlAwGy5HdJvfdQmJ8czrPMD+KqEPGCR1TduY35QViV1LHorpKfJpY3 +4qIGZ/k5FivwTEAbxEpauTn+8QIZ3JuYl6WxksxOntV8zIkabyLK65J4EiKI +CaiCduylAxNYXGTqyYIPiw5Z9aSL9tzxYEkcMwtKunQHXOkpzL0xECgosISy +WuigVcp3UAjAUgjA0vhsYHFVbJ+kLZYnkTuspFpZV5WwNKezbn5jMJpWCgwk +jVZgXP1Zo8AM4HUtTEsgNdP6TpXzi6WLV5feky55cCL6jk5rXUEb9sppCzc0 +J7xnlh+Zs2xMOn8WsShNBBxd2nAeZm5gMLPejsxNO7jpCnipJ9zQCnsr00Ke +YX++tYQWWjKtk5fwelHEiCrZGRUDtDRUSUsNzjMBWgo4twRo6bwU0SJFsIEG +we38/urLqi2QLySLBJs2xiYqLVt8UeIVFDbe6pyx+Ws78UgpOvEb9IJ2Kui/ +VD5i+0saPHZgO4KhqIQd5/WRZke7g3jsaG/BOidzhB2npDxOUWmPIyqtJFxN +ZI6uNiIU6VhljyJd/pC0nGpnpDzO0wFsijg3B7DpuBSNRuoD69DEIp2bN9Vl +MG0hAYcr0ml0G9oI3sIYrR/sloI0gpHnAMHKsGeT9DDyd3gZkT068YJ9eT6t +GNvcXQu14ksEekAR+12fLMwGEltSGuBxlYgFO6l4tAXnISbIveM0MccEdQYc +rimdV31a5iiCoAtJ3IwQpMsJUyK44QBBtEKXacqsnay+f3gySFAtzlMBgqiA +QxMTBEVHqiS1V0kQraFkYa3t1MNVWG0MWZIIQW/w0BqqgwHSdYNDFkH2OPYK +aE56AHn13Gxy1RKlGPG3cW+HkSy/SGTOnbfxpkaaGJ2P0iMGT0gJ4HacB5kY +94QQQ/NVR8BN2SMG8oWuwBGT05VAcCwEgmYpR6WYa3S1trHA5FVXJUP0uskA +Q2M4S4C0Lne0JVmHpxmCNdA34ki5XpiKxYw8oPQd3hX3K7hZt91I3ovHwh+Z +A7sYokPvLkn/5JkDQ1F2PkSHWe+hRwyRpzBHNqjVJv1SELmtBtmSmIlLC7FR +dZkxtWEseQg8iNwm22nCjsWOQKQT6FJa07qwiHnCm6SeoNKBTxTnUxg9c4pk +wHpxMIDReACj2ioxqsd5IoDROM4NAYzaqjQq0w5Fg91NMKpN3yYGG2hJNr94 +CXe0JdGTGABdBltlAHS7ZcwOHu8Os7Muu2cJO3We0hzZeFEbHfHNQfCzwPi4 +XYfjtOtwsjAdlxZYo8JXo2rHVaL2O3AeYHxcjtvTBBzj0x7IgEuJwWsDqAg+ +LmWFtQM+UZwLhDKXxWcigE/+cvGhtvoAPq3JTFYRH9qFlUq5cESQYMhOtZlF +5XbfHkgIbnUhLDIZP9qA7WOGSgrv0up8MkCTT45XS5zJ8VTmyM6MRM7aZ/o0 +Occ/z3f84VGfHB1Q6ZGjNz87ce5Xnir0hJBDs9eWgIekR46mRJNDX35y1CdH +xwlT7YMBpkTX4iPvlWonLFqVjQdQmXS5pFKo8ArsQkDpuUrvhdbouFm9w7BF +KT3iA+mVvX3zDOfutqULjLxBEx7Rxw0wL4EUULD+7RDrH8scBNWmIk6i19un +pnm+ovnJlrP3NGTnbn94f3cG2MjSChsMtNP0ZdpROFmYiksrn1Ex0WJg/9PD +5ugnJ52LR5MTOIKNpLWDRyBtOOQZEcQXCiKCjS7OkkPbbDpf4fcp++l6sT+A +DXkJygTl3P3um3LYuEynYvoZC2BD+nOtTVVoM5IJLEvxkx4s3sZ5Tgeh6h2F +FhWeUUm7kYAm0Zrtysych5iWq2ZKEip5nn+hoDyfFm3VEVrSKrJNFvYPVkee +S200wDvDo0UH9nm06C3OLrT1pTwsEKnR7GhpC7jD0XZDTSBQQWjRrtn0upkA +LVTWTHxFddHFqcD0lKsSHlrSj24OT3OV8GR1PKdsMNjtBt8JLl09Bespm1M7 +/NYRZidQd9azDvIc5aWwmPDY8aqMMTtpzZgSce15fWtWSxoX3HOyYNmZTG1S +AaoWtBVSm5qGIRjdHyv0Bjwtmt0E1RpwJvPY0ZyE2CGJNJ3Ok/mtcZ8dXepu +OsBOtkp2mnEuBtgh00/esdNUJTuZctGQtUqhQbxLOrZFKzTi6Y/X0sXfRRPr +I/1FBihQRdazEzJA0H+dxcYHyCsUxgCl1WMpNJzTwsdFvJwkQ14CEO1NcdgY +ATSS2uVE8WEPIPGvgDNOixM+ApB276Ktq1zAeX0x0OYBpGtcU1Xi3gBAFGdY +UyUx5H1RCBBDNuYaR0xjWWJymphyMYM11Wk14qsLkUS/815emY8yKue+mKTG +CdkC2SbseeJqVDKAaKsFJK0F20xP/63eA4TiO26dKwWEUi5zrJQHiK4Q3IO2 +Hgbk6UftEwiPaHWAtAR8ueZsnHmps/ZioI1U5alAIGoP2noChQwpMDs9HR29 +dzoICO2ZjzAglNT3DrtZReccq8BIXPbOt9gyrvVVCpd0vBw6O6P2MitEWRf5 +ra5e4eeGLWITzImu4Roy+YX2K32RclGLD0tMjdZ+beqkQg2+9xeFWZtu5tY3 +LNCew4TalZLooFYNid7NJEi6A74SrW4aag54ac3bGoSlPs0hSMiQM8mQSC1p +QNKLNonK17Xf5jQkek20eCmQzNl8qBYS50lxlkyBm0PySD+HhDW4nobwSAcd +Y6XNQcdSuUhveZLbzRSDcfj2doDRpsDwJorQhiSDsWKf8pZFtmJJjVZ0EVUD +b1BI7l8UZliOQIaQffYkWW8TRPTmUxvOw4GNS0+O2OLh1juiVI5YeKz71ZxG +RPsRL6bakJWFDMYTgRDdyoiQ2cVpKnQwLSFpQh5bwwFQ5m0uk1JQajcD5REN +Sh1JE0gNXERAG5nitD1qgxPHDONxYHfrRZkPGA/Pr30qYWA9jMc21mX3Jnh4 +uqyrlHvxJyM1mhBsa5ON9SSZZk9iR6Akr6ZHiN6e7NVChDxk3mddItocISJE +tMOVJ0So39hrWBz0dK2YICEIUe1DW1egVp/NqVnjEcJ0BCebLTgPBfAQz09D +gdBRNRndAd1D8tbI3GLokNSSbg/zYUpiRljs/auS8qT7pI8VFrIFWZekcRIs +ZIlzWGGhhcxylBhvSXBMB/zIKYRuLBAvswXnocCeo4eFi1UVLGhuaVJuVeRH +8zj1/uNslhUH4GhrgBKPCPfEetEngmmgR/M2/VF10wpFKwwGcCjxKD9LnhHA +4aI5XxWfLY9DJ88om8RJ0vLXcDCvjPsU7q+w2PGS+nTdUM/GxqEu3mp43MNC +qkmdU1hovbQgWKx+otfDQiyw578/6mPhMu6eoq2fU9j6KdlY7MO5q0zqIyst +BAtXCCKFBXvzOiy0nzj5O0heoBeqetv9OHcGsFhwi95R+4a7Z4ICgoKsBioQ +4ZYwZ8niUhUR7SlDCPQJEQ7i1K0SmugtwhkdeYItIcrlqRAJVO+E/9yyrGND +0VAeIjkpSCwRBKxyiC6alHy9vRMi8ReFKUZE+XtHlK55VIWhvJCT1HqI6PTl +/Th3BrwV2h0ijQFfqUWFTdp5l5ZMHwggosNOPUR0+ajFdFsZoUFRqP1VIpKt +cg5Jh8xtksdD7wRO6aASNFJ0qkIkkMHAc0VgRPYrPygPkQx5vWRdXAD+eMGi +sbIZP97RDtX7F4VJhuSphxM3b3K1K6YCTJDstQNtA4HNQQ8S59IgkND00hBw +ihJIaEJKOezqUkPkczcWiM4cwLnjMiChnGN91UDyJIUPlHNC8CBpfhbpK5zM +EEc7CRpxpnpFSl3+OWk/TM9QxqR4SceYlNfZqwZU4ovpUiqxRNFaKuW62P0X +LT4s2sXbg0VXJPNg0fuB1CapHpzrwmnaYmaJIrBo/6fFtJRRsFAvcZUi8gIf +DcRGDuLcfhmwUMah3rKw5DUsOGSfOB9gpFEpo6J9pH2aVJYGnVF3TMeFUG26 +d0/So2k65+KnHhiKv/r+0TibpVAyJsQzc9lkQX55Op8QWb/sYHPJmiJEK6w2 +q8PLG0FyQoj26yZCCoFspJQnpT+w9UfzUHvA16DTEVIf8HdatIsY5ZqrIwEo +nKSouJD4xyGcpQSGLldVykXx2XBh6/kgy755dMEcNMOEoBBhoNIRBKPK2gL7 +xUUdBuJM9A+TNHkYhvqNQ8NEimzvXHHFFXFvb68O5wYO4tUviHjY+IjIWgZv +mxb5w4jot4n7pI+IduH2ENH5C7vQ1hfY7/MQQQIAcSrodDNOXcCbaTEsWEoi +ATxYdMalTWFBGwJmua0EFkry11MWlpy0XTSPtsW/HGNOpuPVvnPCSW11AWQ6 +eavsFI/g3MiYQFCQtfBucm5/GMshYFKyi/PXdsL64t5OKXoZspnZ3POUz8LV +wRvTxPjVpK6ktpwosBT0X+jPNQCSiYCvdouGRKfz69SQ6I09WglvSbkQPP1o +MepyckQg0T5LFoucli04FpznP4VXFwKJhIZxblMkkIxxdOQ0MTgWGBALDeWz +xlL9zGh3BZXEtF28+59nd8RnxkSKFOLV3g2hI5dSPypFzMseDdqx0MUjylXX +zIic+U8OUPtPqof6MM1ZR80Hf3iUsJAPxr/8wVk/cFp7SsKGlirE5C+DfFy8 +4kyMi6iyFGxvFCEPF6Byy+usvyTl5xoJZHokmdIb2MYje1ob45JUHCMBz7j8 +f6y9eZCcV3k13tXdsy+afR9N9+yLRpbZIpsQxEcAh0BKQEjsGIOAhE8QwueE +xSwJDjGxICzGbI7NIlYLY2OBbRA2chQ2G4yJZFmy8FdfRb9KlUv1q/JXKlzF +zwX/9O+ec5/nvs99+3ZPG+Kqt615p6enZ+ace5/7LOd0mEYldrIZuIQOWwOX +ghmrf4RN/I+gib9OUoT31B7RWo/tlMxZDjjci3YY9BAkj3La+dH5UUEKhBlg +JZZDz3V/9MKn+VU6sbYUTWDSZERei7m2GMwe223y13drit/PvzmDxToAh6/5 +ukSw8+U5Myed99uMRKPXs8VkfzzYqMBBHfBIDJwQ1mbT9UdnC0TPYqJJO0KP +FXcbw+N4osYXoQfKoKTNdxY9ergjtSf6lXRHCq21p9lGe7q6IzEsQuGm7Qn8 +cDHqb4ifeKsqhiRL1lmwlsASLcBGBDfcw65fs1lYbFFchTIstVss2eGy1GyZ +qpfZAvGUnfgIyfl7mdfnPexPyYE1F9q4zyHGSA9M53Jy64kVSUD0av+paMjo +Gf6H1P0uGLWeOTyNWP5EZcE0aatGzAAet9fqfeLG7BJka4AE0bZEJ8F4WIIU +RLaNSUEUHH19eu50dcN0/+u8SAYibmY8Kqknt3WFS0GnlIDOagI6tOYcTkBn +R0PodBE6/+fmxiHNY9+Y9fFLIS4WT9ghD+BA0/Zjsu7kQ9/oRW+b1WHYvc/u +zA9PJ2xZ45gnhkzk8yuQ0Ug4m67/1HgMGduYHUEmpGpPsvSXrTu2JshScn+u +t8AFO4WJAJm2RPfSTrMWacttHWR0YIRCpbMJnZiqBY/1T9uZWIvKeFxPoIUe +wEMJtGw0REvH1U972tPOPVt0zfIz8SokZPsCxuwUR/ASu5ct+kQJQp1Gke8T +d83oxrZroS3fIhml6QQlkeVYjJL91sjmmbzHKHj1Fa94hR+nf89wLwAyLwAJ +Ii/3sjT2EEo8dYMfEUBsSXDOrinsZ/qELxqPh42pnOtOkiakus2Kz1tPDINQ +63kmIQHD1aW3RYC04TG1E9F4crAxQPbV/veC/k3ESK6M5eT8+13sK3Pvqr1h +WwJG7HQG/taatt+WCHW1Vhj6lD4+r4tOwnYxSsgJJiKnrhgT0clIMKGhrvce +fctghAnbXE315pmEINkEHtmdVsTeU7VLhW0fyJYKRYJtQ1IkQNdfdxwuKWuC +BCTzda4jQgK2Eh2NZv62R/7qzAK/ebMhEtrxmNpYkkiAoU9RLL9/nFl+f3s5 ++BXed+uK2hje/cVVtTZEeYmunpENY9p1dN+lTW0Y4e12aCWHwTiy1pF7a2TL +Zu4pQRGTfK/zSd5eA8A7PuhD5rrq5JfnxhIj1j2JBcgPfMRCMfMRACPvFQGg +hsx+BP9P+/oAwGquXxv6LxEArbrZJO6NJiqPhGJfLTMc4nZ2iiVJgWIp1+wE +3e2diZ0sgmIYeHUfDeNxOqEOw3pTt69Av/V/bqYsn9sTgc5SAo8sYbN7jlMk +tBNU7InLIM3avPkgPNxi7H3MYA/Oc1AzRCVbDGnFQfEKah9eGhy8AEE1RcQh +r94MQD6h/l1qOndFbJnovaS9266azonN7YE/f9kFA7t27WoIZ1U2QtoAh7kw +eTIjmGR28n/5pHRXk+idmU2J3ifiWW/b3xklJwXPh21EH+M5slARPGvkph2e +/cBzxRQ1JKtUoI35dEJiLcKzLZNGeLYNFpNhk1U8284sraRrp6/bgAsM8Fdz +Q074iG5bUwnxmgZ4tsE8t1a2banZpbGr9UaYGH7y/phqM+jg+rua1rbnV0sf +WlnLohxUY/OicG2JW2tdi7+je2LSutZdwZ45s66tPf6At2eebhhRxPBXX0Pb +BcBqzXaBMC2zpDLTbg4iDRO235zRma3EoHp06BD0R0kRQf8V/lNqlcKj7bP8 +D6EHEabjd62099vV3DbAE/1TuekbyMLx3kii/suxv15BfzjonmJhOLea266z +zVywgaZ4ZthWEvNbtAedTKjxsO+oSzBvbUI6A+bZGF/kAFeZloOYIcV139eX +W3MF5Sur3SGiF/XVytkzq6pyvVvRbwHzlKMt3PZE/w6E4y7SwN7WXbofgewY +csRFy2q3YbEHsz8RVK80pkDlhneuBgpop5ztcmBds5IoQxVlH0BAoyetpKTZ +3dMFpZA06doMMvB+XY4HkZFWzIPIAPf3/D1yYGxsDCIN2LGyLcA2+UcksFp3 +3BaGE3VtDt33CAlCs+YpFryFBMUmPXYuqvbf4xAdR09Xl3MDixhLi0gQ5BtU +apPdmKVGNqL33bLcmo2oHOHE0LOQQj0t6QDqXDScRP3v5iNayOSLvXep34Ig +6id0DQbVjs3C7C3BP52I5Rjp9SUIsdQwDVHa/dI/3BkSUdojaM2cu7IJpx6s +8Vpwi46WNhmOkMndL+ioy3VvqmtFjhZ+IUFC21hJEBnnehLwbHn4ggsuoMjE +kz+di0IhlFAgqY2PRvA4mZDwi3gAVwOt3kc8sM1A0yEU8pkm7SkMUb0da4go +YCfp+nEv4TD62yBdrLC8/SfwrUt4blXPew7V49s/IcTZCun2PKQZvbuvyNxx +t8Tykveu9psXpksx5IWLnu1ud5tIpFcYDS4mQM6jTG8C5IsNQV6eqB0bPfOz +myqaS1Oc264U1qQXTCoNz33DKzfrx3a+PMenubXwKAUNLs0JGuS6IHdkEc35 +NL7VgIRFZ8E3jq73v+AFL9Beaq7zc4khjBG7zlvVQeJ7SPD94K0CwGP8RT1c +6U70L82EdV7wLa1KhQsSkX9n0FVp0S23bN1yLZbfv85kbUk8FLG08nf/KliU +4LFszZ9BuuY+cjlIN16yg2kubuFb5q2fr1uTE3nm8SvgvmU5drf2u1XkrwhD +bLedUfdMT+PWm2dnAvVMLy0kUM97PY1RHxCfxTptRD1iHWtNpdC3rTdtdjJR +aw11vTvu3mO3zeIb3os20KPSOJ4XZ4gqDptZxBLyy9UI+6hyBloI9kGdM5pL +vv9LkwPA/vbEeMmoXdutciJTOYOCfTi5aUdFhH1kD9V1ZtZi3/Z4DvsZRre0 +M86PIC6uUC7iUVc1eDuJ0xrS1LQjzCAugQkX6D+7oGAX7pzLj5qHtrxwFyW4 +MCgX9rTxh8f3CN7Qb8eflpTjO6vHeam5dahAeyiht7W6Fdxt5rQnkaSqJNDP +faA7gf6FhpF++0DtWOW4FnJNzlwJoMt5TQWtqxLgNzrjIsDnWc4F+CRBu5Bg +91qd2WEE+M0M6WFTiEkQ5XqEBNgMnnzNa17jjUA/MBqRICgePcRa7EOVicQU +XkQCF9iEPhHKQnaZ3jP+8U5VfKWfRTgWb9Xq7OS3ngrWr1k3qSW/TueClP8G +rPOLaKZyuff+pMdKwgb97TuaI133Jmhn6Ja1hWOumlPYuVS66I4mhMPY591m ++KBOUztDuqsvwYK5BAuYvu0SFoSRI1UubIEFuCR5vymdVmy/9b7omRRGL2P7 +B1281OSQi2eqVCHjoU6hQ2W8TkYjqMUZOkTdL0KHV/lPafKHvd8XZYxCQzA7 +/wfBhdncBBFsbyIuWDFLFhwHEl0vbLtjG5W4l8HIrIOtmoiZcKGzl85nX1pm +XbooAvAoQ2ILwYUpRXw/RhFvQ27YMUCtOXWQDZd7Q0W6r5Wt21ULQU27pQDl +oOWJanO1Jfb/O4xx+0wCgGMxpxmqn0bQUjfAHZHCyqGxn70ssLfePhkp+hOk +2C6kCO3Ij1LA6lEIWNWRoto4CWRJUSiaMoCqbuoeYfM/s4mKap2I56dB9VCg +Z1rVfcR0UrfQw4qESKULvcehTdCrfsTTujE91I6F6VShBzUZBwYGoCwT08NO +T43j3nhCuZNnBW9qVmZLIbpQ5fKUKOcpUQQnHAvgC0jbTHepKy4WZAd0GL9Z +Z9xmroZb7gFFmml5KxX1+XRf3IrJG50MP7oa0P8U/D399fiPgf4HEIIwPgyF +E9ORbQXaOVA2n5hNn8K9kYTM24ZPfzVjxLYEI2aFEWFw41FmPx+FvFIdIyot +MkLnA60IsqZKtdUNCZ5pYcQTd80kS7xyWNZJD3yaWdZ7p3yCtEcYcf6bmSth +qlYmjIhUSmNGaILonGEEDtC1yclJSOWgvnsC9d26UTEygm4x7NsXcz/UCsoc +BoLSGy6aAcZenkAxYRq53P43rfmanGTP83OepryIbOQuDyxqzcmz4G2rhaw+ +6cXMgDIcByUlPp2w3UrQIWEi6MBD1LcWC3Qs2CZcyMZbEiNOpznOdLpaTUzh +T+PecEKNbIdv7avVeXdlXGCL+txTAb+IeuzHYzPwqwK41W+OhmNxPOAv4uCc +VHuz/rxIzOOVm1557LZZHVcITl7uIxaZ+4QBx2+sU3m51NYEhAHRKEvEgLLa +5Kj62G7/FRSzW15eru15RidOsicqHEIoIVgSt0AYB3Zzl4BKJi7Ui+HWpX0Q +aCtOWTrDovDqt+xQD0MkXdXacItVfTSDeH1k/9TxLTaJci4Sn92C8hU/Dmns +965mYG+TABHfXrvPaPLSXqt3jKKLVD9xXzYGtnC8q2pNxCYSeu2mEIbJH6l6 +IuhZGmngJBGsaZSepW2xkJTYnqAEu5DaE5QQ+ZIra79oTgnVJQ/KAflhYEcF +H2Ic2l4YzVWKkwPGd830J3os2Ea0TShx5ECd+yEqBgdylIi8xmJKHDGUwEHD +U4LtrLXNzc1adaa9duygC+lvYkj/KayIt33MBTAf4oV9+H0tuNY+1Ti+CeCf +qi8oW5XqYO4v3cRQ/sbMIi56uLtdrphQv+WowDbBf6iA5/Fv23Np7dgn+Ncm +yxz+Q6vtaY6kZRuBVVmI8G+lBVXPHfMiAv/CBQnoc5wtFQqxFbMtAf3ZFqGv +c/AoEkBNoW66GScBnmrumikMmgoxCmTAdXJu6e7pgk4IhNG2e6f8bjIo+L/h +ym1510aUCYKsth+MjxviKgb/xbNhmD6Um2VTOLd79+7a9PS0JHcbI3MvkfnK +3wKZzZbiW8LlN58yW0ERlOGih7p3sLUDlrRbH03I73Kerl9wG4rW7qNVi1su +t9I1TNz2SvQShhB+jA5Md29HYsCSklQVM9ev4g8zeBxMaBqqfQWKYhftbrxo +DyZi+qkEkJkAKieAPNMikDt8CONW4EU7fQ04ak6zv4UhJ7fSawd6kFG9d8ov ++iOC3ITGUFQPE+QetPkfi1wHCMn9ANy49IyLd4IU0H/dPeeDmenElOUkHkcS +0ruc8e9LtL7R8LjNdBWrC1eElGyebgF/sFPVDUEKjW9e5g+DVMmcSyhAzOJx +ICFuaJHCBbQBUoYSSJlMIGXD93PWI2W6RaSogUTwn8/PZodECTsC/D30BcgR +sE63GVGBtqjjqKjHxxHcGxPQ7Hthd37aKSokETRUipdN/nK/m1tjpes0i64n +wIsvvjjMOI0AL1OCFyxeOmbJe8O50W0sVxFebLMYx1bKidZfGmT3CF7Ofi+b +oIvwYse5I7xYEYjteNyW0zm875blDC831uMlGI7+gmWrOrxMJPDCx2ICL1Mt +4kVn/m1BkUNOOpUUGgy5ujQ+MAWp5ttmpxJnrSHcmxC4JNSIoqltWWMiI7eK +BU5spfRsf2/vC1/4QhWpwpp2ojKZmKycsgsM3p2OcRMwvYnGqggwVqVqAY+a +VEKiSScW8OTqemK0mxrg2xMD/xFgrOqhAkaN25B/VcDY+txIAjDjCcDoyDc0 +QgQvLWOl29TeVL6d09p6HLDiZG0GK03GmmYThxAat00JVhIWkVE9QrAS9R/F +WLlaThGs6AlWJvbs2RPkqiKs2AHKabu4WKVdSlj1JJqPNnw9or4TNcLKEw9k +IwXYuapribluugvMJrDCBac/oX+4M5GrT2GFgnip3UcFI+xCMtEiONR9xqo9 +GBu+XjvfxEsz8dilEvJE1UYxzowAw7pBmkx80MP0owOxH1sMDOs1W/h9WYcK +ftiJzkcExoQZk1QFROYihxLquhEwbNfODj8FVd+duYjHLgHGr4/Pa5cOHWer +q7kpOHxEn5uZoAZRtXCQ7Bw/8uevsoUD7mwmEEFZ1dT+kkLEeIuJaHWgseIO +lEcdkpOWJtSazOT7Un0ubOHWNCswePI7k2H8SNaHPTb9fKG/d/YNRvxwLoKB +NZNVGKAlDCNHhMEYHsdzw5BQPIxgYAesqYLYnWhgiWBgXbCWLAxCk/qpql8f +FAY6AvfEz+YNDOS8oyoPBERfQvZwM5GtLeLejgQkqNid2kEsJDBQBDCMtZie +VT0pwulfvGzDmB2fxm6BSNQtCMnx+pVEVMLIdk7gIJM7VlYoysVemFF/bxoO +kVORwEFVpurhYOcgWbMbTMjlUkK3K9HKsSn33N+eNWic3JctEjJX4apfEFYS +E2jscZpO6DUwXdmbUDdMIaGEexuCBAjHaKsD+zvHGsYSZSvub+Q/DkCtLgeG +TgeG+/NgsIYMo9n6UM7PzRexABR8JQrSQXjSmok8tDrFKLUqeDj2kWHVDEom +IgUPUXJG8PAX/lN6RqHK7nP8PZWUIh7G8TiWGEuM8GB1ciM82HaGnXIvy0dX +PB46BQ/+vLLBj1DbqS4LHtDQxvjp6GKB9p1TZo5ejV0jPFghwxQeyrinsgu2 +pjmRCDWHm4Sa1vuhaIQZrrMAkX72gyK4HgHksW+ITtQNVW9oNyi832JkXtXp +Nny/r9tqOvCvBYHGoffUWSlGMBBo7LcyhjE0LhVo7DXQoI6U+m9O4HE0J1uI +CT92gg0ktHKXLDSsNMemOZkwHjpOj7JTlQ6BRqh65KFhPT/oDTwp0MBRViUW +2ADSk5At3ExkdhtCYzIBjaGnAg1RYbghsZFg7VB4FNSyzOpwDGb6P2mRKMBE +okutfdgWEZW3DF5mXITc45IAJiEMFO0jApgo/IgBExm4CmD2FYzX5oRdS8KJ +46GKB8y2hHIujUA6BRzs6xFhDgVMUDb8MYtJp5hVrYaAZZMfcX1ZSgzfR4Cx +kguLeOwWcLClR/QMU4Bpw721BGCmEoAZFHCE+dEGgKFM84AHzMEGgDmigFHN +QpXkgB3Ztuzs2rI4lI7QIAW2IfesRirrzCsCmCtf3pOfLYgy/gKYqDAcAyZy +FBLABINNKEhN2hUGJSwdIIsAY1V0I8DYUqkCJugcfm8hBgzA4uWXKbl+qrqY +GJEfw70JAYx13FzCY1dC01ABYzPw7bi3mgDMdAIwAwIOzDBiYLERYMpm4rAR +YEJ0oj53tvu+z0rTbTVLbmfONQumiLHZ91UBC563e6OPDfl9/g2dt0mxpyXu +bTdgoafQH/gnBX2o47dMxRCxs1WcR+lPaOfS+q4jUU3czB9pvrVYYLK9TSBy +7dtEs/AUGwtPVRcEIr8+kZ1sx3FvPKGYEEHEChsqRGzqvQP31OEOfSZaXp9J +QGRbixBpM+NJW0JEzS+tpEtPljvdct5aU6w296WbEJYjvqnrydijKGY++iUX +7rw1a+ndtWvXDaVSSVaWTmm75UdedC5Owluw+GNOOBXJyhI0og5fN4al+URl +xIwsqeU8x/T6EoK6zKO2J4p5m4mjD3Pu5XxHnsJGV5ZQ+Ttd9bAZSwgTcEyv +MyFLl4INn7ec6Mqgy/hgizhpNyMNW+JEhVCt8kqnxUlqIDkh/WQ1Ddfzq8vn +5xDeH6WlxHengZtYNegSUQ1y90UuSHATJc0EN1F3t+DmsuzpQZbuuYKlgleN +YghD3Awnxn0i3FiV3Qg3trTncVO2RyTcWbPQsQ1sPXbF8QJDa/XQ0al+OLBy +0r9DYBLafQx0bPGGK9NSAjrb8djqLtRhWp63hM5Ior25PSvntawQZbOoq3b8 +0eEmrD0+h9JJ/Nz9kVwo5PCDtcetQaWsFXqfvndJwEY2voKlaGQ+xlJk1ipY +UrWpeizZqZmqxZIV4+WjNoLZsp8erfFkPVOt+4EZDyTTA0aPXzR7hWZ5FoJP +8+x7ujoqQLKGrewFaw+qhpqKt6WchvCZw2OrO1Sn6QfbEj7qmWl7gdki2bWF +vpM0/6q+k82+LtsJQiwn5NKdlFnlvccPJ6rJl2Q5vDZ53rmv15koRpYBT89A +cjiNHz1OMaAW/FAsat+fUKwM0eKJylBu0gQ6h5Qx602o8/KxnKgC7pS1iE/+ +AJsOcBFCRYGQaaOKIWS7yyfxOJKYLGdTSltC5XAzASaevBYTYKrgsb9FMHWZ +xpQtwaRizVZyppi1o2RlYYQ4uo2Z2VOVUMXXY6fDR9Ek3m3vF73VowxajzYr +NeO5j906q1NL939iJN+CG6X5np5tXmfTWIpOWoIlFWoilmbwOChYspb0EZas +Vm+EJQxaaJVQ1yIKELyLNUP8JmVnUzQFvbsfeyvgajXRnz2Fx2FBU0gC3rsY +o8lKIiqafn0ya+Zm4mdB0GR7WSqJWLqnRXB1m96ELcE1nuhS7WgtjFbBLzTs +afWZ1cMuAUfQZD1KEAdc3XjVMhemKORy+55bzHS44fD76nwao9hIcBUpK8a4 +QggewivBlZp21uPKDjdQn7UnUV1a9wMP9UVGxZWV3ywFXPm2BNsJxfbnSqLZ +OUJVOJd7z+BHquWEvKJueLYASVTNJ1BVTaCqu0VUCfoaAeqQJnzU1hUJPzTz +e4xkLZ44dDUTAVJbcSvLOWfnXgJSj/IkeJQv7CInRFT2lMbe0Td4ZLnPo4h9 +tIGwSjRj7PV76doWEkazEbQib1iBFkriIf08i8cBgdYT92cRNyXHuxMyvxt+ +kqy+cKnQsq5+pbABFmLJcQ6XzCWaiKfxOJQYwN3wShT1WokpXLGCUU3gaj6B +q64muIIiD9/B4WXFX6PMcw5XPLlxEZKJkKaDhe7+QmKIZNYOkQQHpqPMbodA +XA9y+UD8wZsqQ5mESb5lM0ozCpKiXLUgyat2ltSPiWja4+/tK2QOoR5Jukgx +hBZ3nQWLJKsHHCHJHvx3JhIE5WyRijupIiTZpt4ZPA4mplZ3+MaIepVCRZKt +g7JKXkkgaSGBpM4WkdTV4go1lg1hdPJPD7g0CMSXE7WJaTtwQUc3t8rgo14D +n7rg3sEH+547x41mKiDHcvAJMxkGPpHqUwwfNWs6b+CzR+Fz9jszOCBnCxGL +FNIYzoWoS+ADTKl0sN/piAt7/N+ZyBLwtLeaG3FAKhpuCOi2q+vzncXjQG7A +E4bEEXisyN9TAs9iAjwdLYKnMwEeqY0esrVRJgZKucAb+5zuZQCEBN5aJLd1 +ikk7raBrit/EsnQ0guxUetsF3oVUL6dkAaKWq2fKamJPdhF6ynqK05Oc7GQV +BdD9X5rEznuisi3RL07rlc6E9O+m3AOApI4alh6bF4jQk9mer9KDtDqb6Pqd +tUtP2JceqRbUMsPBQsXxChckqu1s1poTkITurP+gRMQvqq1uWIKow3jMISWq +og9n44+NQ2nsLg4aOwQp1taNzd/D8tcOn2BCOj6i1YXnLuB5/DBURfmlq7OZ +v2SqX0+AEjVyxkA5aICyPwPKgALl0AdGY6DYRvEIKFZT1wJF6qdZH8bHZUVy +H7VboNgOLQJlJtHtu90uM3ZkcDNfHjMrjK29syF4ewIozF+3uh+1twiUIYls +WhiAYsQjnZ6KGTLhgwvZRInuL1xcP6JdFxlmsOI0OH5tz1KMV+YwE82RC2ZQ +DzufxgyOX+cEMzjiy+50vuBdSBkmz4XJ2oKvdKCOio+Ww3h5IR5G2WlO+/ny +qR703a5VYA1tpZbZoetsSoQZ2/XLWEclauyY3aaplzEn1QAznFKZTWCGpbJW +t6G2FjGjhrTNqucuUm0z6wpbQU27RYOhkh7sMj6q+1SVoQz+bzHJZmF/sCpo +u1dCjCDaebwWcTxtMBMBBhvXEZlcOpcBhk6kV72WOn7Iipyo9CUaxul53J5Q +bd2ZP8anGjR+NB8Dxg6nULdyOtENzON7f2JmaTNfKTOAsf0aHICbSQCG5ff2 +FgFTbhEw/QKYJ749k7Q9z6lO2EWlruQVj5V0sj6KTyAMyh+X3Kl8MR7Xty2i +Ua5QMII6RjCGE4z8OR/brTXTDbLAIOiRDSnqFo2wYnvII6xYZVPFSqqCaj0o +2cOxLJmdrPuLg+2Ey1SiaziCi3XH3sxVx6B+pXCx3Rqc9NUuDKiEEro/Zfr6 +F1VZN+gdQJm4BnAptQiXXoGLWpI2mDjS4bZQNTfdOdZCkLMI4y0cjxzGtIkn +McoeDT8KXKK0oMDlYjwUuYKUdhfMfx1+rcFr7jEXWxELXRX3AEk6rjnuQpro +3MzMDOOeK664giez58lbwXP2PIP+yFgFT1R6E43qqxZrVmVUg5/6qmtmZfng +rUsFdiQuJeZaikF4UdFmO5OZse5LDMgp2lRcGrXYFNooMKJNYtCi5Sv/UNCW +O2MVfcLZYW9nAnJFf+8IrAubQa7bQK5Jc6m2ARlN5QA5W6jvs5Az6pzRQU0+ +XteE9dsH8tPjR3TYzUAuMo+LIMevZik1B7m2YD8oFzPbYuN5qblfoKmLW1ig +tYA5mfHxcQhfCezULZWwm8djj8Du0TslD3jnYgw7K/CpsLOdrwo7a4nJEYpF +gV0QhFPYcZGbTDRAs+zWmxid8rAr28ot7mhJBMls7R1piDzf91q2yMvhrt3i +DneO1f63OwecVSfuCG4dMoaJLnj0mjW0S7172i9fhXRLma3w99gwSisdqeOZ +C7XxLK2QFBSAB/6yP4AnlVEUAO59g/G5/F0A6HnYuzv3OdRykdBGt8q55z// ++Tz8lUrsN8Hr7PFvg16sA33FejDabnz20bYlhDY3TfZAu2oVjLY5PwKjFRYv +BTBOJFqu2Y/SI2AMRRazBtoacBH3diRamag6NpmA40ZyIQxYbLNYVBwWUkBs +01C+mfPqwbmRxLaqGLRtAl3ZEbAzdK7Z456piWg3AZ6iJRVuv+hSmXSf2P+S +uvnyKEUpeIwaaX93PJbPmfvAYIm32xEZBm1Xd52XL5PwL3J4XQAcu3MTAIjy +mP8sJ7QuNyXzGYQxf8LJZEUkz4TSv0JELiSmycoBkeOJnu4MkdqrUlc9LuHe +RgKH1IOcSOBwR25ZFAepnTIjJCg89r0vrTZaCVW4DiJ1cjSIZ8DEt1XVCB4U +RXjIWisCbW9BR5a4ikspYR4g64nTPoJQ7TtKpZijSLESgbXvTSLVedggMEpz +/l52LyCzNQSWAZ1d5hLw7Tfgw4lCSgjnRCbhsHnVq+2rSi9nWEshn7BgF0U7 +VrBmUWglJXVRtGItFB7SqjKPmtewD6bAgdd5wSFu+oY8JlclOlQc2lZxNnl2 +J+bWdGVUWyovaOrurSc69cbwOC6IhLkOMfxv1B+SlTGgsWACwzMvfuGFu575 +zGfKYthrschLzxx242TryT8vWpUDqyGkMLT+nsx9DLXWWqe15WDF5z5aCDAk +CgvxSLxkxaKsqQgFRTv29BZYHPCgO2ZAtyeseGXr57Qre4Uz9hXyPcTwmV20 +qx/npGU6Yd3r2NWXDTcT2bYId5xxeNtGPe7szFxbWP/GEv3nnHPpEoxd+/Z6 +3NmOhwx3XCwn8K8xQdajdws+717M1A318HGIbZ5usy0ETncHjCUPF6+Xw8W3 +gyoCjqfM3dw7FbAFXEQNDVrFQTDXrO9OGw+CaNvRKZ83I7jaBFyJsfoo5Srg +iqzvtgLXNkGRARf2TDE6iEyS3H9nzctM2JeRYdxOfZkb3jOMv+UJFBDrhhuI +M5VKC62jBmE2PUckbiS6Z6gHUq3Va6231yHMtqovBXeNQjyBqQizvQ9tuLcW +EEZ7pdFGCGNuxfsz1lT/Jdm10Nm5Z8+egze5/RC40i0P/5cTRTFTDI8jt2xc +klWjgS068W7+xyWkahWFtkI0F9DVIegq1BuFRvOVgq4DOm/7FNC1x6DrWIau +yH3I/Wf3zb32ZWT9igQgFi26UHLUGYgIXVaIbzOR0OP+um4aaBjquY8oT1QR +dEGfnPvIA35+06NrNNHNHqErVCYNumw/RDvurSb6AImzkWYr2eaOhp0M7fDm +PI+vsMeDR78yZ7wYYjN0Xb5CB8PRKVmROrc6oqo0mS0k8dyKc8Nkp0DrzOdH +ddfSCE0NZC20IjWAFqFlQ7EDGbQi45+CPyLoy1xlX0agpT62hBYXrs7EmIRf +vogZG31pVthm7/ikNQFWiN7cR1TUmxNgZQ1/7GGRgEyBZbvbOTHcYYY9GccZ +YFkxbD5v5bcDVsGrQup5lQbseRfbtsjF1l3M3PmY2R8cEIjhQMCO9gVzAlBl +iDCgafobuk2rXn6gKncsLai8GTrapRJVmA7A6xbg3f/x4bxdJgC2T3dHAV4U +orUIvKsL8QFUgBeZJbv/9puXucG+jAAPa15t7/O6CbxlPHYkZio2VdIiUegM +g8V51NnEcYQ62w/YGZazEUGdWK/xI0patCcmRhV1Vnaay95yAnU0plXZNNiT ++ZzHkm9hpg0n/pI/XVD/Mg/Oknc3875Q6lMlZmj04HS3D35onS4euD7xvg2a +YbrbaH9Vj8x3vdn70LJQJplEcbwqlBJOyf0+Pnvy4ouePhDHiKXrasemw5mY +m7Q2f9kGZw7xlBJ7bkfiwGuHwIB3h2OV19Kamfu/77kntHsF2ofeM5CXSIgS +0QLtAXsSbhHa1xloX5lBO/LScf/tMy9z0L5MSokjgrYd91BoW4FAW8PXjn2m +B1cTXUKU1t0eGhTnQy6lK0B7WKDNSpx05zMabDOFWOYXH2Ehtq59qMNC2/bA +0kO8fWsYF7yVH17z4IfgFhJheI0tArg+8Y8b/AZF+mt620sfVLJTN+naZgy/ +88LI7qkXie2sXP6p3rtQX4GWhiCHd2pWg3ESB77jvp0cAhFgl1oqf0wtlcW2 +HHHSV2FtdXi5xF2CG8bx/+fflyr79+2So3z56txRflUIZHvBSSodReI89vt9 +gbicOKonuidVfwpdCSwlHJ4pjAcC9QuBDry+77wiVgh0xipRidbl2TcYw6mp +1gh00BAILCllXKxJXbpQ9E+1OU7sBZKo5O6iveIreGxPjLfsNF2/OmWnUa6d +SmCdZyUxOUXfntm6/ky2XAt3hswMgnKHsW45Me6r3LEdVdwWpkTwDJMtmJXC +RbMzd9qiHkWRE8BlnLK4o6HbwV18edoZgij/kiTKlTvEngdfi8u9VTHabOzT +SaH8knf5cYz4Ldxn2YUq9BX/c+8O7ahd8u/dEx+JL8RaiLPEbppm6+6lS4kK +gX8sHaeCRpP9Zz2cBZfspBa4wb/i9cwKhoZRpB8a6SFU5HngFNdlF2CNBsIM +CGESdpxP6mCNIUw0KfG7EUb9eKj705ww+Kog1bKKx7bc3A5kwHbm86yGMFYV +LCKM7RqLCJO1pK4kCKOIrCOMLawvStUTcRQieFx0Q0PFqYPZLmRacaEWhUUc +sRlOj0XvJJjnx/vXlSNpH9sI3S3y40VN+FFvjqXuzB3sY1LC4s0hghSaFMiT +gldPFbIXGjIGGP43H7Te9/Vlc1opJwhUSRBIMvSr7hUOXfW6DZZitTsyZHTd +R/Tq7JTTiNZysf006qJ97NZZbZ9EtoWJmqPs7BX2DAl79l7cGQw9e7L9IPRG +XuzvRb0qLbInH68Je6L0irDH9hEczNgTdGswERCxx44m7bTZYgnL6rpU3Eds +y1xODMENWvZwVOWjvms3Y89gYqDEix+VmShGkQIXbdPQx5KRBOjiW/38ivrj +GpKUEp64W/EiYbAib1zSK4Wh35om/PagSTlPE6WzMVMES4qyp9xOhty5RBUn +KDgVRRMOcSkWNtlfZ7HlqrUVolI9dWXsaUuwZ3vj7eeGT719JdRTduSTRveK +HVuXyRzhE5qJyvURL5vCMmI3fDQYWDMirNm91hZOzal6irAGjAmebi2y5oCh +wlUZa9TvhzGfsMYmmW7IWLOqtzEGsWZZEwIyc3YPGfAGTTZsgF9KNBPSaXom +0ancE1jT1Ywh3m8Q2AOgT97hztQ4HnmLBjQgouDHztVCSawX18TTsDFbrIVQ +vdEoqdCMLYVG5uglfBP5dvD1LTOLyl3t/Y3Z8fmVYvDVhcfkHUth20Q6H98G +2ybUIGg0ygrTfGKYaA6P/UILF6X5UMqLfdc5B6ToM9Msert3WnuBClokwp6i +gz/0brNJgnxbtZ51XCyn7UDB+01nE0mfMaGPdQxNVYwuzu4de4qbjuXEdRl9 +Itdpoc9VOaYJfULNCZJG66BPOTGGtplI8afagiL62P7IYdwbld4LhGw458hV +ZObVK0cg/kNm7OS3FosiFQ8DQ+T+xZ/U25OWjD0pOXLNembEWMIELutUVJYo +/TZMwJfxBZoy4YO0XlwrkrfeMli47J2E8RNkTNDWYXTXieOuZ8J6ot+Y7XlV +YYdMSz11drQn2DHVkB1lsgOzK1JYVYJYH5+Z7KDT03QCF4Pe9jCjbAkjvkcp +YSpsmRC2JAxEo41F2BK1MrXIlhBgFXwFTNgSpdSELYfNUxGu7fFPjYSc1ixb +mNWSmTtli7VVULaYrqUC5zqpkuJAgk46tHbq9ei3/eaDubyURym93uBRWs57 +lBbxNaXgTVrwpQ8xlivE5LjgdyQHXorWp/hGZUrvPiVyeKd5bAs4Vbkt0u+W +JWycuon6BLhvNLCtB5rnsH3TEWvs+FgFj30tsqajsbtIgjVtgTW1zDM67C12 +pGcyo86W08eau8a5Rw80yiDbodATGDQpDDp3yzhgm+kG0VhGmgOitsBJTw8Z +YMbPdFAun0xuwqXQxlLwvQqeN0FkjxVEaY45a55aybjE2zoxxJ2nlBhL3JRq +n5kiwrXup+e9o6928kOisYHBKS3jxOD0t2OLcFyc8ArNeZNL+fLc4rmj3r7+ +NfzrIksoZqqFHJ3W2S4mF21+2WbhzX07InNfNZXE9glpUr+telNH2WlN3bxf +jngIM3W2bjPfC/mNpZBMpNrk232XOAcWKgmSkXi9LZKsM0GysYYka49IpkRz +5FKeSUiWjeS2mSMQsgJJ1aVbZzVlZ0VwlGfc9q5azua+2asxIzw7+iHyzGoq +HbJdP2KlErWZxYwLMqT8ORt2nXXeb553iXxK03J4edm07MuhTUNmEdizpopf +EdHQbcaSeCir+1wDTk0OvwX1UG1KJ/ELthaqwtcb/8lfDsaKaMMtJMaLTelV +ChbZvyOfSrFTMNPvunliuhD7KV6XpquN/VMLvt9dlM18d/FkYviiP7CsLzGQ +qCwLnZ5fXgkss7MYHEKbE5aF2tgZqricQXsy2fPrh6X2e9NqkmVdCZaNbHE8 +EoYV1BPYNg1ry4CdJBvLFO+27FXpMhkHbWVXutkqU0eg2zTp1l47e/NsUKS6 +8MILa2NjYwMZ8xDAhbKrMC8aQ4uYx+0LSYRjsn2VG5Kvxx6cjsmnNKv3pNlN +GzYcy0krEkvbwGPRdLcwZ0RfyGBbXI5si2koWU85WqQmKPcP6/SsBOUcydXK +0u2sdLikRsRvR7mypZx3Qvbe34Z1ntp+/wTjkZf0e2vS21VjYvwADbxdua1j +t/edY+j9AQXnE7ruI5aWdgxlW6Blr1AQISmD8Z/N19EScidKSzuVwtnz7YaW +5PUZSuJktBRK8qPNBC278TjamIfvrN07GXhYatK6Y8frRrKeh/RIiWb+XOjZ +a1IXLPkepVlIaJTV6lV74OEUeehe+IvbE01Ba7U3vnwK4Bdp7qiKSz4yCpWT +mk4DFPzpyna0JijYPiAbmu0xw6sVqefcjkKX7QQCoUFwv/+1BTW5J+6r8nr8 ++6jKPXZ0ntN4rOaW4JVcgk1yke7Ijk3XrsEhmZdjU0tOya+8AK6yvJo5JScb +AhpQiy+MYFi/HymMt+G3b5wxwfMctWBr9YVlNsJJl2WRmnl+/tDxixwrJXl1 +suJtZwtxlyYVHJVwoSnkYbqAPQwXsLopm3rCBT/a+xYKO+WedJ1nHU1McVI/ +ZjZBs0U8drdIM9JxuDHNrrQ0U88L20akNKubqffxYMOxGXTJgT4DfkrLbYC6 +yWlDEQSpS7nshzsUHpmqHftYta4r6cNvWcX9ooSeV19Rp2gWVYHV8dEK4MkG +6AvEZaTNnxS+gHLDvN25z9CIFzwjkYxHO2tPT4+fei2FDA3+2yO/Szx9cHCQ +CN/WAs6FKY41pRasl2FWDma208XcEZUX9joBqPCYjOYe6rdTzJTJodEL+hdi +FclyOE4W4uZR4r2aEPkfw+N4YppnIOC9JzHrrXgP0jimg8/akxH5M4J8a1W4 +hHtdLSK/16i1b4l8lR+x/pQN5QG2ntJRMSTbyrwmvUM6lAZCKfjHDfjv/rAk +E5+de9kvbtcJjEv3dIVhx1QRVzIdOHOdyYFfkofa6cC9ZsT/Wq40hKhddtll +tb1792pYGNL3hbCr+CJuX19f7ci/LvnNw6+viNm4xt7J9fUogHgfgfgzyg8w +/KPemzyZv43vLmQ9eKbYy1LWWqLHNAKnbZkfx+NYYuRnMICzW4Bop8cUnLaN +3oJTJ4AagpN9eZ0tgrPPCHqnwLnfnkLUWcY2pyk47YijCg5AL6fZmI82Ldum +Z418snS1l2KSGo6H5h0fqE/WHXzPEg4m2mOfEHuLKqU6oWP7QWNo7rHQHPWL +MtZqnh5e//rX19SYtVTiiQIdpn8Yfyn7BzYFYS7W8fGhF9mpK4yWLcJsq2df +lpyOe+cjhNmRn6FcJTQeqt0pSVzTT49LNeGQW6JW7iOUUHmkOi0gu+8WCRl+ +Qt+VM1VNznId/dhaQ5CxRNLnQXbGPU7gPRqQ7bMg6zDDY6pmqyCzA4xqK7DF +sM+kSSBp47GugFmHCp41OSoIw/GWeoJXZGmqfS/brN189WLtsa9DcJkIS6jE +Rbu8tP1Gdp4TEcIQdFf07hjvtauH34HLL79830tf+lLo/QCkL/BfUlFkwTla +kYX1TGPDnaZmiC0ZH3HtWk00QtJRZ06QFWYbH6a5lxYJ43Gf4TCV0ZU7pbmA +Mqxdtme+iMeNxIDZcNYIGdv5PSVssaOjp0VsdYYeQW3XUC2KDHlNRLx93mQm +kSOJJAA0NQKYDBtMYYW67CXmNR2+sMk+fvt0f+ORxiu1Q9ZgKtLHFUy9wn8q +Mvq7JMMZQXPwn4bxNzoRBVimTMZVR+Ze2WC7kmgGjECDznOVHZzE40hilGc4 +LEeduRlXd+wPoOE3f/sO+cg9ai3Wzo3RjWAyAZrV0HneAmgGjHrlOfdYqZ1p +DBp1x7J9cSkZCSvZnbLJseM6qhpou1OXQxSGRfhNq1xzAIsBg6GkELzD0BN3 +TGtf6pPfrhOWi4YUBUORgWSMocj774/8PR76r3s7hg3nwsJDnr9zI93Xk8eQ +bYmj29v2RAf2FB6HE4M5I3UYYiuiTLFqysj6DUQYsn6ANEWZEAyhc0wxxMnW +thYxNGhECoGh1dqjjTGkql+ImhA9ZRjqsaOHaY8cHDrdQRgYmRfcqOCgi7oK +iwE3PJMWsa749aSjLkOEWB4ZIgeZwkg8jWhF5qLiyRJvMbfKWj9QQWQwoKKR +jm+Z2avLDlstiwRXO7B0tcDvainvYzmbjBB3WLrM+JEgjppiV17eHyHOomvT +1E60FYYjNcuJdjI6mM7mWphRSYgQZ+dlRgPiOvLnRYM460VQxuOaIC40ijxC +4YdHIPxQ5zbJaf1yi4gbMrJ1WyKuxzRUsUAdENfJzQ2HxQb17qVcfgQDV/MB +ZGWBDVYnrFL4qGuLnAlV4G+cG5cvPXLtkFag/XsnukoZqCCFSvgQXUWCqgxA +7pNrfwBY2QIM61yROmNlYOygXIBzkXFZ+YhA8Jh8F1oRFso4nZ6VC70sRRxh +S0Aky/Rey0Sf4AuJrHP4Bq/DGvaxzuHfQPsBA/qr5QkHc8Dnd38xPy4bKUao +vM7tEMSHRq8TGeLtEC4Hc5eMeoB2gNHOeSbRdjyNe0O5KZf7Di0VxkJwp4i3 +I7eKeOuS0IbH1cRAJD0TxxKIp1KPznnAKpNqsM0QT1XgSMBMwd+ewH1vAvc6 +VAUr7vx51M59qL+lHZSq5IQBylxLeVr93mTtN9+dLtZ+9Z3tbt355Z2V2uPf +XOB1zgUmP/j0Ru2av36G+xn/wH0zd1Z0X7r/8t+v3XLgWbXjX7iw9sDnn16s +3feZZ7nv9/1/3V07+uln48J2+LHnlmq3fOgP3T+/8sEX1Q5e+0e43Eefft+f +YIbhFaXaNe+4FH+Iv31V7W//+lVIkRQIWC8JWzMX0VvKQIt7NPwleoUThwSZ +uG4IAC5bAINkwrf9hoagpLATGwDIigsF8SIL7eVVCSNwYfMogunTWVQSZPrj +CCRytpf9wMxPzuFUcWKOpTt0emt3l8/paP3cTgxHLLGdXxFLrI0I7w0mRlvG +wr7Qbo47bBY0LLEN+3zeSl4VOc8SFdqAqewOr7HRmCXB0OYXPEhZPatm7NDM +DDCsXYRLuYN0/tiDg7WLW3yXYBtz7M961rNq5++o1H51ZK72y7twxnv8Wwul +2n/dturIfvNmqXb8i09zNPrss4rEdLl25JN/ULvj+j28bv/o/3D4/vALSoB1 +Eah2T7j+vXsBbb2KhHi59t63/gVhjuttb3lNsXblX7/W3ZaGC15//ca/9Lfb +a295074aup5wvfrVr6696lWvqr3jby4jaeR7uO/G6zPXvKQotALJHN2EcmSf +JyJo6QgqJHWcxQ+3w/2Yt6LrFTx//19OnO/v7y8UfXQUkv74rzNDcrjf5Pj2 +cv+pyLPyxcITAN8rWOaAf/OHBOEx8IO5wIPsOngIUoB1EllDuDedaBCetcAP +UjGnKgb4bYkjmwKf6SMkqE6zyel0dTkxGEnX5dGE56nqW0JzQXAfminCoPEv +eA7EvXPusWkY1J8A/LwESFR2byCb+n/v2E50v8NtdFdegZK8Q3gRCHe/9v+8 +ZQMw16sIuLvbD3z+GcA8r+/feFED7BeBfXfbrO21z7z/JcWwvLvvdeBdrwQB +snXePTr4A+aEOiMT9xrIQso9Tw/3VO4Osk/wJcky/z3dtw9vxb0tAl14evyL +qAad+soFwLheRWJ9kPuZ7m3Y59yOVzv/rbnaM5/5TMZ72ApxOkWGzGbN3vDK +HZo1w0b6PRFIDGOTkuKIOojFFzrq1Yo5EnlxCkfYfu/nHVnMOzG3LvHT3TfJ +uOLPmIs6UdnIqQ5jcpjCXwsJQa9h3JvK6b2640PMEs5PyhTKeGBJOXEoVZYg +EcYt6zTb705Xl/Ki1g/NF2hmP5JgSVDTT+wMliUiMnHePe5qlhfrlfzXb+6Z +qf3qu3O8/nDPs2oH37tZe/wOF89QlPi/voHl/RA6uYCT4196Gq4CAYTl8qaL +akdveDYusP36PbrKH/gjjV3+PsQub97/al2q3Ss7HLvv7lZyu6oT1UD4G//n +6zwLdFcAPaLNwu8hjkWBUY5dDUCvtHQMDWx1zC36PcvRWQjuqM7L/ezc3txb +cFsdFwV3hVli26yYV6XoIinwR8OZO5X6e+IOKh7qROThHDEQSB3PESPaUGJi +aN5m1RDDSHzOFLiFrAkxwuT80XkyprKuqirfFfzfvhgTw+qQDdvtg7vEx70a +BYkxkPAFmAjEYGZGBT1PR+mZPB3scPAU7g3nHEbhdmzNJegV8IuqF5t1sflD +qCt/8F0X1C57xe/VHn9gHZfbwn+40/2tv+f+4Mfv+j0H4G8828Hi5ue68ObI +l59Xu+Pg83nd/pkXHvvwNa8sMCAuMh5lsIz9+8jfvOn1LqJ4GVEdwpW3JcOV +HLD19mtf+1ryAM92X1mUhfvvsQO4V9ZYhYmMEKh8+AWEtRDMcw3MEygjUCEn +T355Z+3Gv39m7RUvfY7D6nOe8xxHsFe9/KLaje/eWXv0q8ukNanu8OxoX1Bh +W1sp1kYJ2yE4nsO4T0sm25scvn99BJIwjUYXU+WSyCBlMoJ35Hsq8A6Ntsdv +mYzhffZIhuII3lZpmUKj84kWmxG77nN590a6BSYttwm8Q5WuHt65I4Cu+9Z0 +hxWURQG66nwjDzmNe0MJK90dIhvxm4fdH+/EUu1Vr3w6sF0EqN3tc/ftALJ5 +/eexXUR4EQhHcPKtiwBzXt//+nM83Mt5uLs1818vQXDyyRfXDl7/El6f+cif +uBX2X/Y6aP7TKxGcXP3ntWvecxkuLMtvuwLByd/uq135N6/D5YOTIv9Zrr1x +/+tqb/ir1+BpuEr4Kr5Qyb+k+wb6Pd23x9s4d+uNL8JCxsJHkdJUTP0cOvLJ +53LPcXsPtyFuSPipD3s04/rlt8H57yIEwF6Wb9uznekT2kHR3Fe6nA0hxtMe +Sg6k9XXiMBOJ6JYNABmxVBIW2TOua24DWBOGTAwWr84xJNLNF4bghH2/no1j +hkQOrsIQo3I6hnzNiblVYQga8BjO3ERTlBOVtYT4c69lCDOU0pRDhkwae2Dt ++mRpqD9hwDAZGFJMnBWUIXYMgv0RCwnx8RncGxQ2/N+fLvJE+p3PbdR++eCK +Y8NP193zz/3YseEHO3EVSAXELUeeAT6QE1z2sXre8hyQgYRwy+rnn+/ilhsu +cdD82EscSD+4V+BK4DoIe2S7aOVNZlF3/wb8Ga3sf51bcEELtx+883KlCmjD +VyKXEK185E8CxRzdcizg5cipPHWUDfR1VC76fcv/UI7qSnssbw/gh//lz1ew +93H/a0tEhgP+3pmtzk9Dhjk4F9XUMksSBhC2a2CiTeZ0J+Y31kMn3kjgi88g +9zTNIJ/83BxPGmK+jddppNQZpZaEN5G7UsybyJ5WeGO0W4eQwcl4w2jnY6ty +Bje8sSXVaGex/UKjeJwwzZsq4Brxxg4xTAXeFLi16OEhVE7tTAP73eZFRgUT +fWDGI99erf3q+JIDx08Q/Hwfwc89CH7uRPBzG4Kfr3I3+OLzQABet9/0QhKh +CCIArx/+E7CB1/XXvkKwjE3A41xWeGwFpIieUcEN4YX/nN8xDDUKurO4l9Vv +USD/EPS4nci9C1zKTscIcrcUSFACyaHqsF7EvojV/2E2gXOFUJdM69aSOi1t +y3IKTbsIlBPWDmx4iySaGICzvU8bvjmP+I9L0W5iw69M/qFzi7Y8Fm6+uF1L +M/iQUyLuo1W5d/YrY/EoYq7KJySJdEiFJC/zn4pSUy/x9zg5eOAtAzx2R5sL +hRmuXasnCbcKGWbn5lJNtDxFJLEdn2yD6jMjBQyw3EfTliT2OKH7CiYMkK84 +/1OcZX/1H0tun7ifUdOP3D7x7zt5/ee9iJruRtR0J6OmwxeBH7y+/7XnkCdE +IVbqm16oyKx95RMvLgpgDU8CsA+8NxcylTKGlHwWJwRP+SgJG5B75SIZ4L+r +UtTRtYR3VMT7k3fr3jcvt9NJ/If9r8zd0PGDFzdJxxN1R+deL47Vm7KpGrLg +2pHgS3+WXcjvIZeiI1v5MpwYkBgwfGmUg3ORGTsOVQ08RG8N5m8zvQfVcHbR +lfYKxg2IvlewoM9DHRPHc0uYhFYqwqvd6rP2nASJYsKo1zA/LYQxwrpzfldZ +EcJgZIG9NyfYsHWisprwkKU7m44E2E6uMTyOJ/yq2ZnamxgJiAijQddvHlrw +5HAI+OXPVsAQXo4jRRCE5EAc9R0XR93xe7gQR93q1uKjXwEzPtdS9BQfid1v +lHwIUdNVJmp6b4iaPrhXdiH30rxIOn4zT0jsXo4NvEhWsKJkWVHgvoeQ6d5d +2AZxFWRXdPtjMSd5DlH97bg30JAosRMTd5qNBFX6Gifidte+N31eqaKWNahU +an9HrzmooDcE/SNhwMHRRkTS2dumHtu2r2gjEYL15aqanSF9++bLMr8v/FvS +t6ogjMQVblumHH7fYF56NVKJVE1py56YKZq42mWYYob05gos+i0LU8JQ+gl2 +GJ2orCSm1fvxOJdoXxvH45jRBKaFap4pGCbgDsKPfvXzReggrDkOHGN+8OgF +tUe/e6FeLhC541mgwcVF0ABQ/MLzwAVet9/0AseJT7/IbRDXhUDqA3t5Xf/P +ryjWPvy+VyKpme0RYIDGSW+7MneyFvLIPXw+hFRXJUKqf86FVEJPEpWUJXkd +j0ntkie5o7xfBdqwIjDmtPMTnKWtJPwB5nBvW8KAXMli/XnoPr2eIEtvi2QZ +zc1FYCKoy5Clkcurez6fpj4AVjNbyWKbO3sCWdpb6OZ0e05fokVGyXLdG/uf +LMh/qXkhIQtSYMH2NSaLekvzS4QsrI3vWnHv73iOLBwsd1sLPqL08HJi4jwi +i+3TM2Qp2wbh2m9OzDtaPLjogqgfQ37q3A82wA1e//m9C4qgBepJd7l94lvP +4vXA7bvdkvz1i3HkPvT7taNffi4uBPWffT4JgrzTx18MlvD6zIeQd/oAdpD3 +/WnzIEr+xf3Fn0jwZPdlepX8C7mXLcp3cqwMDHVsJRmKoDDiqNsv0t2tdurb +iKO+izjqGOOoH7o46r51Xr98AHHUzzm5dKoaZlh/fWJeg07LGuo8zCV8D8ik +/hZZw5htLcGansasucRBN7BmLDFN1C6sMQMbUS5MGmTIGrU4CHN4n58L0Zjd +drpCNNbWWqJY+1fDNIhhjdValSM+tpdzudRYNHw0FbEmSo151nghLqoKH5/D +ReIsCXF0FLyOOOETD7GP9SH0sZ6MhFH86Kbjx88wPP3Ln7g46kdrvM59f8MB +6d82MfKDgVTy45vPwoU46paLS+BERgmBrAMv+hf++eUxpq95d+Ogyv27Pqh6 +92W8HDmKJJV/Td2MSDjsUSXy0H17coXvRvY0IS0IrFx2tFaKA1XfxY+F/VFW +gwI3Tm6hhXhIhRrl2yQADeOoP14IJzY7FbUN97YnvB2quNcnRGECpgl52vC4 +miBPd2Py7OV0iJBHDd3cVqOzc4VS7uiPHt9oEMUY/+rEk22tVPIYE3GvuUDy +lMzR/8Eb5zh+mujm1WZe3MLOZMlz6Z6uvNTqbptDfk5273iaPOo0bsmD7YoV +9yd/uh3kga/v3KKQB+kxNjmdYOvVCbRehZ6si8RWuuidtX71AIKrHyG4upfB +1T0uuPrOhXoVSQ63KH9jNwiiV5Gbh0PlwecBn7xuvxGR1qcQaX2UkdaHTKT1 +/pcr5rmRCBV8pPVWH2m9hhEVErjZruKej0+4p/Di88k7vym5l9Vvgfjqoy/h +GxACk8qOJUWSw++GUdjo+AFVIPeju63Uff3tn/QztNhvF/HYlRjBMbwpmzEL +mCtWtfPdjnsN4N5swqCCWcJeUztlK0ED6rTjcSVBna4WqTMhXTdmULDxpI03 +LvZNzBPCj/CFt84GzlgetcV98Ll25PwU68nPhXZk5rbdHmQ5s3utLXg4NKlW +RhY9wpm92f4U1O1f6u/tKehc4LenAX/ZcpQ1xw7KIkhVBJ85+83P52u/+uki +r1/eh+LGDxlv/fsG6MLLEaYIpgBhd4b9pPbAbYi3bmG89VUXb33pubiwCH/m ++UQp1vnrXwzQki8uRjqQBVv/EDiCYIsEEXKwWyMKu956BTkBav1DFHYV8ZJC +RPk2uIr87mXwNXDX8ZiE8W/Z011/EsebIjdMvzi4/ZMXN1O3cLi/PPZYt9vW +vnPTeujsnMImPCwHPWgL8Vf7I05vP1zpTMwp0RCmX5hlhk8ss6CGp8watMwK +uYFHqp5ZPU2YBSF0dYXswONyglmdLTJrUjYg1GLwLrRuwqGjzJOZeQQ1U0EX +J39Rd84EMlmCZXoIvrl/q9RzQSXvtOPlvk9VQmEzIbuaKmwiC3AgTaY9RmJL +yWTkhicKjOHcXvJT6Pv+8r5lR5NVXv91FJmro4i4vs2I6w7HkMPPwgVYfA0R +15eeq6T45ItKHqAet1jdP/yPf6qXR3kHYyndEHAJKRBzFYrJM/pr/CaTC8P+ +IQvDsI0c2MvLh2EkJOjpqCJk5VsEhcsktG6G5LmjSYlrQMlTxC8NBW6s7vlu +j6399GtrLAY9du/8IHbemURTaMQZOzMQcUapAW07esL1SRSHXUjJAd/z6kbC +S5WGADMJZ4yINRDhZy+Psob9Ql3411KCKzIu+uRWXBkTfZHcoJUmhzln9fH5 +rFdahz3r1VPLlkN2dO+JO5snnVW0DuVMLjBf3B62ndo9k0F21czu5UuZSAEE +066IKWVNpake1gK/IMzXSFv+bunU1ysxYrPvv3fEpt2O2Jx/3etex/a/6AAv +MZiwqiDnG8c7jbM8QUKcBbIqJ0jlIlldJscd2/Ui/x1Czh3bwO4Zrv/335dJ +iPu/Sr+KE+hzq2uAG8K96URnKO8NJQYHqPTfkRgoozlnr1DFHXRk7mYZf/dT +1fWE/WtElZAZeIQKV49APSJV1xSq8LOLCaq0Z1TZXXukMVVGRPOhQSqtiMhN +9r1o6Gyu1lguVUr3ZIofl86SaWgWtplnPPexr8/MCTXchhI6Zni+IVvcJ87f +Pp6fd40a7IUzgKM6a+Y4c4NwRq1dmw2csULK4VlvTqEE8N9UhsIA++O6XTEZ +vuV8jgyi3S/S43olRnSyGbP/lhGd9vyIzpPt7e21a98yVg7x6XxeZ+BTK/hT +n0B/Q51QSkQY2zHK/WZQCOPiMP+Jm5cKNJZpF8JAI9XzYqlAv+QeIcwTD2Qj +42VLGCELPyJhpoUwLEH/iycM2+y6mhKGO8+CEIYi+JdcaHXttySM9gWgzlkn +e5Jl0YKYo8ZrYUC42lAAtdvdW+K9s4f8EHiD1PO8sCUQzX3EBuM2YcvxG0by +UqmpsmbK5kvYcsDg90y27CenyDxb/CinRaU/TcnsML43oEg4cpfifrXp3wnH +gClOfHyuUI9Jpnw+5LsOokXcSqsQk1OJNs9Z3BsQTEJRlJ+4YaXAXua2xPTX +vF3EA/R4YnCPa4lJYbrtTRlMcqDyEfq4PIJp9rqztp4SwqTlGWao0ugst4jO +gVyayuql4MwNxLozuQpQiaZvJpuhtj5B3SKWvegkMnUND8cPn53C6WFJkIml +nuB2H3FypEOQKVPBEwaZ5ywKU4o908nYpyYndTkoZKq7iiDmqqpGxIANKScq +8arG9eOA71sZtgiybZDRqmb74KNVzY5RRataAEoeQcHY5DSHnU5XJxPOBByt +6miCIGs7yvVtPoGgUnbOzCPoEoug/pw+Sqpn44m7ZjoFQdZSmQUGnSsPqn5H +OXwoEuxT3OHz9h74twOQniTZiS6NGgwMugQ8N7xlW60g/wl4Qo3MgCflbCvg +UeEdXOcy8FCgbM8zOgmetrD8KHhCc8YJFupPVKoCHlSVVUplBI+TpheQwjwn +K/Hyw7+4dJlHy4+dLkKWr9It4MnMb7hJnaquJsa26Z48kRDo50Bqe4vgYZqw +mgBPsXGSYk/texPno9BQ1FGQaLB/aKwzJlERtAus2jG7SVdMz7VKpc4HBDXx +v/jcHGUxtGOU2lLSxTCLxx6BkVVzNHWms7lYMkoFCozm+NiBrAS6uJFxv1/+ +j+QH+4j8TGgZ/xswl7/dqRqsgNwx+fJDcg+f6/e/3E4pcilYbdNEEFgFWtsD +WisJLYEIrVZWI0KrbcpjnWtbouObmC0nRn6QOWMOOyxc793gR1gXqyuC1ste +lqlFRWgNrTWP0J/2kWpbCNZ2JjDKKlBFzjgGo7gUn+0JaNqeAc0J5HsGHGS3 +CQ6N9i+urJu5YpDY0I71i9tLAkLsldgf8ZGubwAlNYbcR1Tb7hNg7nthndJi +qoYTpdAEmNv9p6y/l6opohPhOn1Z/6tps4aSQaVDfm0AsXpIqEo++LJbX8NL +DpcPG3gi7BN0ckhzoK+YoZMb8Zyg04zxF+g8X0l4HY3icSLRAcf2hX5BJ0cu +pa+aGC0lJnaW8Ngp6PSf2MGPcHivLidmnMfwOJ5QiOcho9wUnSzwz8mBwqAz +BG7yO45aXDoMNJsMqejJw+6s2skSZKuO0jAoyEqnhTCWOKvbLnDEVouCo4Wo +vcekby8h2lb79Xek2vLa9drqcpXqi7IVR2UStcNWjRcD1Vk+dlgDR1yA2BH5 +f0F0b0N1hoBrAl1xhsG/z5vPsQmnSBX5tvz9VQPlqw2UAWuBcjCOPP8DtpHK +QqtQRuezDObjD3+ionq31ohoDI/jiRa1DMp0ZdiwAA7IzgM4+wQrB6eqS4nx +43E8jiW01DMAF4xVqwkGguDEGTbKn0ExnqcPgTJgfKmDsaB4V+2eDMV6pjAD +I3X6K9AN1YYuNMDrSJXC2DbGT9Yyg4OU9COPMl+f6RLEhsZHg2JbJx/PIoBO +oph1jtfGi/fa0vR15XJZAB2tswLoyG5eAD3jwbcnBzCGnN6Tpw0d+VZRfa8B +bTNAHzP38W8KtHv7kTZECwcLMYEU0JeYQ9K5DNC79elnDvPAJ4BWeVwoPDP/ +/bNqDGjjBoRf5EOVsUQbGfth+hLdyRse5PUzL8t47PCzYo4CXQHQXF8n8a/R +oFDOeLaUWHMVvNainr28s3Eke6lZfyPk5ns7Gox1sKpQTASnil7bpj5m0Ju2 +55hHDaFXkBo6EQ16bcWaqqXdEiaw4f3AAtArDGvngg2oP3bLDOsLojEpSL4u +UV6Ikj8RksvHDaouDWCM/NzOFqJFd5+5GOiWm35Jp8BZP4Uvk/fappZWevE9 +/rF/z2HM8dhnxj1+GVvMJobd6XO13WilaENKhF8rHscRlV7TM0xgP0yrHt5z +YFVcF3jKb5dVOYD9FDslTiEjX6eiRTiPJDSeNzzEWwM2xyFnJBt075dXrvuD +5zytkC0YvRbYvJrNXrhzPEHdFqLbHQJlKqlIG7mXF+/yr5Tr7GPqx0EZJ3sk +iLQpFoVkwW/A8+O3T4ei8Uh2rHcc+Wq9qAhrA9csAs9aAnjyrokwBdikBBBl +BATX/n/lsPwJGjv8bYvEPdkaeoO5DZb4paO8pxAvyWLAgYRDMHuT5TaTZH3f +MIAhy63C1Q6vY7gKyoWRaMnjP6AP3kOV0YTyG8cOewSaQRb/YerHxRA+VfFw +bRO4IgL2Ji3MOJ6qLiRm2afwOJyAqypIY2YI8YK7H7QZLFI52j6V5S0vjbNO +XQyBEfLe9+kqN31NFOD/kijw/UQddfC0Q3XbzIEs7x2bWUNU2dq9LQFFhScG +uLVSO5iHZ5M+8HaB55nP1SlsRjl3SU6tSkKdH81E8LTORwcyeF6Zuy3wfNLc +7syerVEGPm38mrT6xXZzyXrxqZzrOz5n4DmTkzI/dnAZv5AT6CUgPK2K/iTu +jeQk137982oMT6RLVUB400BWhy+Y9ioLPDPcMp15CunMIKeDNEIdPK2Yuaro +WyimFlJKjEx6eAZo8tfCx87OPXv2XHrhhReev/KKHanhAmZM1V0LkYAevzQa +sINsvS2krx790nY2Fwwm8KgY1fKow2+BWO40GL3xHTnV4NcG1WBNoB770HCI +ME32PcwgCEYju+QYo0cM6i7JUGet8I6HF6+7Lakx6/a6N3srKvnEUTrBKEMR +jtIpRjstRu2U9oDFqLUciTBqG2EoedNtBIoJ3v+oBoze/JHM0CHC6I3XyJTE +KWZNT1WrCcmnaTwOJUTRN/P3DEbRDqPG3FSFGvcY3afq1fwN8rHtyr0vyibE +kCVA4ZHbfo8BJhZAW563/fvdsrc3zWZ9aU56YRw6hwWJ6FLmGnDzbEAnwMbf +4JEpHwh0GHR+4u8SkQOKRt+Z6hV0Hnr3QH7ELMgFG3RGWukxOjVtpSAXdHaa +2+czdF5qbh/M0Hm1uX1l9lZAkpo2tPGF8w03pcAj/CeeQJniqwNwd90iayeo +uchOJ6rtU7g3nGhPoeRfV6L7cTMHagCY2dpSbha0DsB2qnoGj4MJgfZNcw89 +XBbA1llexTt+fXKeEjdyOXr+cKFYe/Rumu7dtVR78HC4itTAKdfuPrhCTxO5 +ihBNLrTVDn5ojd8Bl3sKWWHPdL+8a4ZZhik7U5xSdLHzYB3mXiPpWPRLFsOM +mHrNIxWm/SpKA8QKyDx4rYtQlfdZhwf/Ne7u9xHKGl5oQGhw4PV95xVEkgWO +ggYj7X5VkgYlGxoUujyqbfZhILxyFHNcnXHAGt0jDjZB7pNvUIFkhLs9frz9 +astTQX4m5eqQ3xOQP50YhR6yyMeargIbRP5Qos8kQj58urkY3bMQkH/si5n6 +NzPBRUE+SvmMoU+xmHAKxYSg2qSaNLN4HEjIym8m7g15tWMP7B8sUAqZvgW0 +7KEmZhFNXZge+pcMvu5iSFLwFTt8axdnF5jscE/FuRExt1x80lNyQfb+X5dc +6P4S+KT+VzZsiZqLB5qwxc6BWefRVI8B9hHHlmJol1Sreduukqr1MpVXNmTR +RHOkEeP2kZOfhecVyXLly3ryM2N7EiWTI/agKGTxDS/lgUK8OQhf8luJ8MUW +WK7K+LKvEG8leoSUqPt+CajYRcPGzlJonClmGuh5BvGbyeiaZxCDnylvZvrW +v9wctryh/oxobvDeYKIXhurInTlBWDQ0bsr8p+kHxh1fRPGjj6pA8+vj8+yf +nxPiBNur05xbOV3dllDHH/LpuyceDCQ5ski5p4KXRYMGIEa9SBfKjJNkDJJy +DGFnfWlrUgzjkd0X8hT3ZPej4KSA3xWeytfgq7kXLpKNZYZgSlL3I8ibIYv9 +3gSPJNiS8MKW5Xeys/+2iI1NryIsuQveMlgKlNpllgjmYkLy3DuUSMasy3nC +zMTgTjLPqPajT9w5k3X6TyU6dJSM+AL1I+nIui/jfHk0F/AOFjvHhIx7L+7M +z6ClikKRV2lMRmtzfzYjo01I7srIaEtI+zMy2oT64UDGkpoIcx2QDA15S0VZ +x7DesEdNJeaqybWphIfOtN2jbNcQudaR6IVUrpl9K8+1Y1/ygdvjP17gFNj2 +hAoU+yDZdu++CCMrGAjDdfboYlH4dVuSXwWvUI5GY+xLEdOw34AaMdMKvlAP +GoJFmXnxaEyyUvZpvk//pcow7nclv/MpqWST5HbJjdOtDkV63JUYN6rAU3ci +vqS/S3+WY9qXs/iJODVuB5vrpMrc7qOjMUhGxUeVzNOnHIg0Y3YwNYJKVfjb +vF9LRiRJ3df72n0VPmb3NJDRTBWjIk2BmEiVNJGss70hkk117suIZLP3hkg6 +9GY1osJToUDbF4g0aeas+Uc7wdzvicqkEEksdvnRjN20bAcVrV7aEw2cm7mN +DMrmxYxKdvBrgXahIkpYZgM+5lVwOeoUObxfAnM4kYxpZM+eMqeWQUdcd39u +pcimfb/r4RTlLkugMjOo+J5Imr7rrzeLwiGadnsD8F28GlgWZ4SST+A34Z/m +9y+kF4RaCBKLll3v3pC34mkNkmNczVPe0V93XGjGZT8n92O3M/cmPD4ol7Mh +3AufOMN6xplqb8a9S2q/iLi3373HJ99y+Uam4jGeyN6u5LK3NhEMYuDjY9fP +twfabTdqTrpXpboWSmLkgWKYKZiFY11WLyvMCOsS0pyRf9bvZ/APvWKzEets +LHmukNy+VgvJ7evKQnL7Qn+F7wjjaSt0NUo9LBPG/dqkZx0DxInEgHbEOisL +wqLDQKITbNluX9zXPrIa1cPsllbKFHPLbKWG5YxcRc5dljFJxqkyXCe/5Xen +Iqaecdz/3DJ1A3A5Zrnz0kfpCu7OZEgU4/rEe91fD7b2ZRaR8Z3f9aZNXKwe +48i0byfZh4t23o5mQhghEQjV6vmJTwXxOsQnPNCWX4ZflaNfOK+h1gfK47r2 +7QgmMzJ+FGc/LBjYvnFxHXELiu7QOT5yLcKOziXqwfmCMtPaK2wm2FrC43qC +rbRgbCKAwJ3y/d6P2A8FqaemFclZNOnCVB5bVRGwU2aUrQTHMr8j9tpmDW8r +ICWWfXszVYVgnPiN6TkhqAvU9uUIGlUAhaA4Sh3TwbnGBH2ykEyOTBSeymHv +hoyghyU5wh05X7A+/NFRtFQIQcdztgWYBR/FvYmE91NEUNsMt2K3RdtYPCjx +JbZK2BnIxX3SBYbfXpTYE2c9uYpImICHn11m0lCuIkgPHn4gyUMsFdyKLue7 +SvHQXeDhBb89D4OPufLwgnDhy8BJbK76zbEmoCCP69q37dC3iqZUZO1xuVWl +2ISUsucjdsDluMloGiuYCw80yGbU4PjZm1ABYjJVOWvNHjYNj9UfqIzHtQRn +acnb2XDyoxyiW+kIZIPgdKL8VBWFK9C2rsFQsvxiEB50d9tCrnMhEdSuScIG +r4IAuEl9FN+d7D13y7hWjTSnHvl/CHsjBV9hr6T3bQtfZ8bH/G1hr81hXpc9 +O19OFfam1OmYR73hPUM8HfaHoFbZG+qgRxbQ73OiMp7wpGILyrZE/9+Qlw96 +4ifg5b/Nu8PPXYssT7lA7QvL7Fkp4igpmkPKPnexRCp7MhjhXrXQgHocUfgt +soZ1bMNux+K8427Mth2GbRsZ29bDO3Zswxa4WuRold/qIXWC675DSxIGwP7T +hwiYpsX1+I/h5f4Ax2WPc6yW4YWqpWQzhBxHPFWdFiJiL+Wf5ehigaXjnoTN +xGZiQ23D42qCiDRg72hch1utHQvSW0pGP4qlvbhac3PHyIKOzkIKqFm1oSxV +N4TKMigYttSlRMS7klPgeroZ0dJasDt/Lgod779+WE+BSsdIj07oGLnKxnTM +Z2Wk2mZzOGfCi9dlZYSO+aOn0FEHdVjhqNMhVjpyMx0TOj52NCv5kqJjCaes +IS9H9MT9HM/+wTwLxTAHcvy7c5EtZAXfgONIiMt/fQlMLOFAquQDOZiQ/F9M +k/yVP+JlfEslR3QjBJkkwvRfxC93r5SiDwnvduGS34/9No1an9m9oXuxKNs7 +Ch7+lAwJPwQCWuG2DhdlPK5KvK72kGCm6sVOCZuw5THR6DZA9gl1J5T6U2xq +x+OKsAkHUWXTLB4bJ0LbwaZztoVNGNVn587R3K5F7JkWChKPH57RKl8228hT +4tHJlUQL8aIkQfO2Drpt3nz1IpqqyKTD/zioVTUNS7WJkR+lDOFiJuVbzYRJ ++3KU6a0n2LmMSZaOezIm6STRYZOtYRpIhyW3BSaNJkbAWZqjjQSSjN+fJ81A +mrPfRQlXOVO2nEHRushyg98LkRDFTqYEeicwjmkknuHeuAMX6xkctZNjqOw8 +PrRtmCPRpCN5FZKObvNzG2Ex8Iqkle9OIpPS3Ga54XLrdZtwkZpCvmIiAn/A +8clKWSgUupdNI1PQ/X+Yms5KKx0cXuFH8B6uTiaEu9gq2tWEU3bX6sC9ZeFU +INsZll2C4WqquGA5FUbT0WTHDvz8aLqtjds2/CYFhm7ZrLLhFHzhpGZmbH9z +RaiFHlE0NKH8bVM+bj9zb/G+T+qvUFqasb/dkxdXbVIfR2wZmu9iulleHcno +lmdhXz2v0N3XnmbhQMbyc7k0TaZy7Og2oEOmJ+Yc0SqOWf56/PtItj12FDxD +Z6ijFi8XZRaVYl9ZonwYLnd0LJKgPs2D6Xh3gWLvW3O/XBwgMYaCC9kehHio +ZDimFQzVyrx52V5/bZ2RLNuMpH9+tqX509gFYLZ8i6vfskOyTfJeChkJZW3A +5uxXCk9H7r+IrOXnL7CXqyg7tqNnIGZ3oil23QfVnpjBOcCQNSS4HiazH66s +yB7oZ7RXNcwkXydycmAINTmf0CncDKHmvYtJvvJ5Swm+zqk4cn3NIqJqyVCV +4wb5QX3rEa8zB6gJ5vcsU8Poyeb5SyQfZhRBSR2cfboZPJjdSmXv71Zk3PGe +qAXsO1Nhe7zqz+vGbaMMTaqYEfG1DdTSQx6ovyv7dbVNyD2bvgljXeb+oYy5 +Nu96Q8bc6AQozOVTx4Y7M95w59rkpKJcRXAH6Y0/3lV7yQv99TukGYWL4CWe +Bp45QoVvju0So5K4HLGKYJUnfZmNZLIQYFHQ9QFZJlk2CrpbG4b5ndzHwIiI +0XkGtvUmrNQ4StybaPdlyriYGJ5Q4tlhTSaVlxOD78UQfir1rKYYhzU7hGZW +N1app/Zqj9+/UOCWutiYelfant9UCb6coF6kcGBlKYcSDb6JMkaflRBDaIo8 +ia1g2Mb06YQfTJS1eccyEqfaf44JCiox3TMZqHfpnq5jOepF6RU540WKyn6S +WIfa7J54RLkiQ22dcs+GqDq/XjG0xP8vzX7NHJSzlCWdhYQ6uLbfkJA9atu3 +b+eOFfHgbzZ4Xft34MFV8Hn5xN+vgwy8Dl6LOsKHkEG57WNul/nkMi/unMcO +LjkYYkN98JZFXidvx57r911kdIocI/IxL0zUcLnAuDehCcF6y0jCV40iIz2J +zuMdcg9HNBzJHAkKOxMxZsSUEGjyI2XKeEJSjEP37Qnt/s1EoMkD3UKjoDLN +lGiTakswhRvXaoIp2xJMqW+Fn8uYUmqYfsx65E9+bq6gXWagSyNlPlT7tBde +2+UtXy55RsehHF+iurvwJRrKj/jShe3H5iOx8yGWRNYTmUc2qxXZmMn0YvjN +et502n5MfB7821fwbfLYjGQwOnQH4L9t/l3pmZMHPaHOPn25J3+6vTAUMpgj +RipCTTYmLYityRlBrMGW7T62IMaEh9uuAojt/CfbzZYEtggQsT9oq0sM4iCh +c7rql/tWQcwc37yAGL3D3JhOzvtsQwsgbpdFn6ohf7EjEn4oxLKpdpqjSTq9 +P0C4LWEVoRBWgUg00o+aDB5OS/mBOLFp0X55lsD3bkYIXp0t51VY0YS4v1mS +XRDsYy7KF2s9zP1WAlIvycNN0MlndPjnYbPp1OcN+ucdtweiF2ffg7CERPJw +gOVwQiOCrVjDCVuxCJa2NXhTw5PPSnhiBjpsZMLu4cXExH05HADGEkpfXFvb +Eg4Pm4lDAWtAVYHlsa/IyeDn8z6l3AIsO/zQsZl9s0jU+SMczoHE5My9e169 +aVZK9ME2sw9JgWcLExQ+qx/YY313LSvUXplD4ZFEoTZaWwWFImSCNolDii4R +MkF8saovO+Sfh7VVW3V1ccT6e5U+bzgjQZgmFhRWFIXQFh4OWbAhI++g3hAR +Cq1XF4XouhKNtorCYEB/bL5+9E2Tswu1eiPVtoDC0YRaGJfIcsIqYTMRHzdE +4fRTQWGBTaQ+bHU4Uzxaken2XCa2fuqdmdiBAEdVbwgtrgaOtl18m4FjXhhR +3UUUjoOqprNXVluTO5IZYisjmqpBRn5vAkz/G+JZFMsXAlosiYxbx/znOuVp +e+Xzu7LPheE2CiMKAEM3wqEPjKDpQpZBBaCVY+DUxFDCAmvRAtB2n+ru7HZq +vxyZ4Ygw1/Yw1fAerswn1BnaAwBHDACpSneaWiJoPq03HEgBsA/3KgkATvl7 +79wqZcnduVQ3B2yxV8olKusMaHyiMvPb7EmohCj2sNPqDE8zC3QjfUg/Ah1L +IJ5dgGmxJ6KcdkA4DIwb7EVDw4K9P/OfikbQJMJjsHnd2waZVcwwNCgYwgmH +y89R7jknKoOJFrAIQ7bxUjHkjiw++rp1KRotY9otjyFr2NkRIjzFkNUBW7cY +EvxEM+Y26uvHvbkEhiZbxFBbSuqgh/smlxm3tm2ROTNmrf1NhDtCgYmwyQ7x +OK3Y2S/Um2T2i6auowIUvuY1ixF4rG6mqTE9mUt6RxVcAc+f44HKwwKZSGx1 +JOx7AwlZAkoVDCQ8kWj10pnoGlTIIFPLPekLywEyGpGhREmhjWots6ykQ98p +nhYEMsMJbaMNLw+T6cqrWHYKMpxDkVMshzb0tDDR4r4X+cLXz9L6IwBKHvrn +DDUMSMxfPz8c8LLNnE4lvxryrbaVtc3gpYlFNp+mYxdoKuev+mPVcA44+DbO +0hYMXqIiicn8BAzNGbz4iEn15XXDioZZR8Nio8hRxQC36MTIsYZAdNjqSLSz +7RCHLRNF4Y52m1qjAqoMVQQ8wbFOm0MInqEEeNTew6FChdbDdmVxw8E/OThy +yEdxM+7vpSpsE7Vjo2eiClt3AjcrUiaz89Z7fj84E0jyI5NdiRQBNDmIv7Ni +x1p1tuKI49Yg6r5NCE7QeUmyf3YuYOfA6/vO5rATKQKYLMjxNHaiURvBDsbi +gsbqWMDONlNzlmn+AvWotgl2NMuMlDQ9QNsTzVSbgh0TAOHaSAyIUnJtTrAT +Zj4VO4x3BoMG1aZBjCiNB8TYqJtD0jMJxIw1XGnKFjG4ehN4sQ23qVQDgmzk +lt0SURgJgNEhfbVpefDGOQFMd0ijNcwqI3lx8yzPiVMCCAcO/+v76mwAyf6X +dOe1KlOpZUTRh9MgicZIBCTsuK1MlTOQdFqQ2Gl5gqRfQBKUn+6dj0FiBco2 +ExFOEY/riTESSqBuF5ggJeVnhnlgE5gMJGRzNk2orBLgOxKA4TjkdAIwo/7e +dbVfzOeXmIHasUpYYvoTaKmaEJj5o1dn+SOTDlANs+Agrzb00Wh7Sn8ERyyA +BHCrm6T4+oyPdnScwqYTTIL1cA41qQRrdE9Qc6n/VDQG8Uf+XiQ5Oh5Q05+Y +NI9QoyIhiHSY62wThAAdKgu2mQhyItTYMYgINdYHsSegZlsT1FjZ7zxq7v78 +SoGCN1MJ1Iw0R81x6R0sqHW0nfHe3tqhvU2+lBPbIj+apTg1+666IEDDslmG +cKB6wyt3RBl5LD8BNdrjj8CXvzST1Ny10BYEbAU1BxNJzcgwJ0aN9uYzmBHU +BPkPjKxNhA1JURPUkk9Qq/NEpS+hzEHd+HKiEUFRE/KKPlN+srKWGGOjOPhs +rd4FsDeEM4oaq4G0mT9SmaEQe5oiauSUhBHLkJ0c9vcO1s40R01KGWC6teN2 +p3ypFa3trRtGtkvFQguZR0Q16MAjcqpNCjoTg8WQCTSJyEtyu1RkGxMjR7sC +eCQX5EQympMBOX2JqeGKRc5Fxq1izTei1lfSFTkhFcPAxiDnIuM/QOTM1A07 +MkIW5PQLSoJ+i0GODY5TyKFc4UQOOe7/XvIijRyENQE5gwnkeKvHjrrDNgXi +/WG7oLEQPlaR2O660VsrOFQxWZokHk2WphD3uPAwtZAoqvj8TTkItwgqmiQO +I1HNGEhRR7MAKfSQHfnUmAcSNy6tMdupWXoRaEuGNa2IgGRrzAokbFrM9Jxk +UvlkZdX0A+tMH0eGpgVIJ7+VWb/1ByD1JRSCNmWc1gAJ1w6DJTV+o5LreAJL +g82x5COeo1OFoQSWRhLV5Pxx+b5PVbcZOKlqa2fdSKlNOM9Kk6Im/eKMEJN+ +hbbcuQxNG0zkLAmWwuHsHvrz3MOux4Suyezs7J5CIZ0VFCmQqKG4EgEravAV +YAXFqxveM4Qkq6xQCix0DKpydQQsa2jBMlsxUfdVYIWDt3bJriQ6YmmeNiXA +wngHX+Vbix5YjIh0gipoUpkVKshXn+Yo8unqRsIojVrXYwloDbS4wQ0LPoIr +eVi6OvNH9XyjwlBIKGYDj9VEFnnSHM7pgZITgcK643DRmehs4Jq1kqhqVPjY +HWEqL89xyz9MxmPHcd7QWKacycHrMv+pqKFV4BUpR2bw6smNNaJpnBZOPQkH +Cg8y7my2fKvgssq8EbhsBydNLCdr9S582wK4eoxIDYMzBRfP92X8az0BKer/ +y1kMsZL/Y9y55GXRW4CUCk1Y8Zb+LRoHxDtsNEAqU5vQIbxwZnMfjbWW79E6 +R+g0+Col+4gmbeHER7NbiKOz3+wrOD3eTbW+d2VqfT0Zio7nkIUU0JE0sqKG +S0EWJxNU73Eq7IjdiZG7BdzrTrhH7NBOrEQ5NihBn2Rx4mRlOdGfGMFKh2Mw +pz4QYNWd0GPZTJzsCLA1AVhwrn+E0iWPVOXYliUfb1/yFhItAGw0AbAeE5Rj +bMwmALDv4d5jt85OSBbS5A7qJsuwPqkw13CiEzFhD9yfiOYVaKHI5j6a2koM +5d3uXX4NB04C7cDr6vTwUulIoOm6NNDUWHi/ARo1SPc+j4qMOMwI0LoSw2R0 +7u5KeDso0LCEiWpd1n2iacuf0KnhZGXJtPe99a98SWQEjxO1egO6wQC0LgGV +CgJB7WdLoNnsEy3FhhNA62sRaGMJoHW2kDNwpz8dRs58HXIjVwiltPQxYFAm +DXz1Gjk3z27L9HRKhE8+W6DlEIRomuaul8z3iSt2VN3CFMTd0quel5Pbn8hq +RrIgMdZ0d7XRWKSEOBO2S8UaOkv5hm9ajrFmbRc2TeifL8/aqJ9l3MVEF96o +xVrosztV8VgbsljD9Dte7/H7FgLWkGDgKeI0B2VPV1cTWKMB4lACa70tYm08 +gbW2FjINbkedlUUNk0fZEWEyVSjpE6Q99vUZIs322QGN0mc3kOkRmljOIE2L +J5hV8sXbrqSYvZGykIjNoy2hl6buyxZtUcZC0PYX/lNRc90l8hJAm6oGztSt +bIxyxEuTaOtMmCQo2lKV3UfvkgD7rsUYbaGK+zBnUR7GPHxo8ZfZGo5qe7R1 +JoQTLNo0zdWOx5WEMWJDtPW0iLYJSUcZQSJeiM+aZCfmQq5cTqM8MpgBGuBM +O/u7TV6CEicvS0ic3D7NGl97k0yW1mCQjh9qTZmei2SvYG33atvBHNaifGkq +gRFjLWqhE6ztA9ZUP282YK2zVu+6uYTHjoTDwWb+cJBqPPn6kp/3WhCshbPn +w3T0eBjD3qFJHv11OnTpsdYhuNKmJGgDKNZsYozPW074KNJuWDIVtcd/Il2f +tyyrLN0NW2XeJ6WSBxxhx2yUrcAgV8WOiUAfR5bDwkaikbgjl/hq0BrHhs5O +k+RicGcAZqO2bTlZ+eg1M1l5AmybAKwyXsp3HqdSrdGYVwywqEVOABZ05dAp +vD1snQowO4WxjMf2hEfBZv6MkGhTQTKfgxrziRa5CGC2gX04hGntuXH5k3cs +BYDZhBkXvaUEwGgAL/kK6mTzzPGVlUJXiwCbyOUr8LdKSLlX6wYr7Ni7rmC2 +PbjcWv8bDwlqUQSQaOZLAWYrO71NfAuMMjzHCgcFYG6Z2Z8DWKQkKpmyqM2l +GgEs6p8TgK0qwNAEPBcA1iEAC62WeYBZg4HNxNlAzwFMgV7vWzIJsGqif24C +j6OJVvSRALC2xOy4AswqVzOGW0y4F87icVsCYJ2Nd8vO1DnA+gqWJJZGzC8K +Qmb1UodBKdcYhPXYjl9eeaEFfI0mWjkXoVMPbGBw8LLQCmK2DMF8olVNBxpk +bu+ZHBJcnftanS5RtEgJrqIzp+DqcjywtU7QFDp6ofc1F/bD9sRgwwoe2xI1 +xU1JjIUi9EO0yNQVK4zmnKS968lKJdFdN4l7I4mu8tEAqHJuwhLDzQoom4ll +pmMhAajteOxPAEq8qg9ZQMlw8xENsbKsa3fIVmDsRv9S+LdkK7THMsOVJklt +8+W6rFLADba9Bo1zhNI2gU1Y5QyUABndGtsFSvnGTZOv9c8ZESgd//RIGGiU +JWogkW3FkTI4WFgo5bruBFSRDFUGqrbEnMKqBdVFRkhfUxW2E6+Ixw3TFMOc +fR5Wtu9uCveGE73iYyHSysPq7s+tBFgF6f3TdPY5jYGtOljN4bEvAStxsT6c +2AixTh1UWA2Z82KT3ERJljOmXEQobTZArNvUCXFErAWBpZLNt0b9DJJv9XlZ +nULQzKnFmN0drTKwO0c20runlcqYwOzw1XWCM6nUa+QQEcMsatATmHGMRtuC +K2EnVJhhGuEiERONYGZ15xVmoaD9YDWGmT1Q9uFxLtGiN417QwKzzFyPgVgO +Zj5hthq1d9qcLGtLVe+w99Y3bPJfkoygurRUuwttzcGl65a0QnQmzfBMMqI9 +Aa7pcGzsNUAiut06srTFtDfjiPcvjtspA5tUXZXMgm6PjWpCItjAk8CE4OmG +t2zLNwunMqyRgFGMJ42sDhg8YRgwiAxVwrJVzk0mQPuSHX3lhLa64sn295Vw +bz3RQNyPx+0Jb4MIT7bXfCLgqZQYQFU8uSUspF5ZBK8EPM1bPIXOCS/t0QhP +UdTeZ6L2k5+fi9zrTMqhO4GnibBYaeIdWU7F07y5F49Dt9uWPdtUPGqHEEKD +RBhC8GuUtP/V1RlduMXIa0owdfWr6lQ/om1PMHXGNlEIpl7lP3XOdvq9yN+L +lHSqAVOlxOjCuheuqpcZV0y5o2F4MrG3lmgspnLjbKLTbwb3BhMt6BMhwioK +fnz6ay3ClE3ns0NnTrbCYBn6CP+Gj1R7EugqtoiuHoOuRsP2DnV9Bl1YwEK0 +T3QNCJKAFp48bmQUEs6ESevO9zODqkdM24jMRMS4oAwZUbMCNiwLgRKikc8j +5oyg7NI9XXEXchEJ1JSiTIytqB9QsEWtl1Vsaw5b82H/U2zZ4Qb2khYTk1SK +LauZwn1yNdGME2ELGr38/X92ucB7A6ZFneHdKc7oC7YKXLA0+R4iLJtLZcvg +doGVdfBkMO/zVm0WVrgIqfZs47tfodS1RTuEpBe008bq840GKA0loDSTS5A2 +ttmsa0smMtUzwU4yzJtSUFz2KYfFTxY4wmm7wCmh/xCNgspRMFKAn4+AFbUL +CrCoOKvtyQsBWMWc2h4mHyJgWRHoUNM26iJMRawkmnEGLLBsu+BsptJubHtO +cb45A1bIsZv1qiVgMe3QVQ+sY9QxPlvRU2AErA6DmLwcqmmKCO1fFllDAVmj +CXhMGmQ1yYzqDLK1NOSOOp0Yf5iT9BXQBmTlFz72NIsHty5uLqxn+F4VlCU0 +GqJMqaAsEsmKURb1EgrKQjszpD4WwtaoKKPMkoxObMg9ZBZEq7iwM3FobLMA +w03C5SRLhicrM4k2QkZf/Yn+9+kQaRXiGVAFmFXt5WDFrADMmrsycdoppoLS +rgNwDdSOV1LYsqVD4Ej16XMZhtEEtLIZ9fEEtMYMtJrkRDXQt7l13ptNJN1n +clWdlBi+e54WJO3bYT5rQeAl1u8WXqk8aTStE8Mr6igUeO0pmET8YoBXgdsj +FcvcPoh96ET+/Gcr19q0yqVrOdGTQ1XsadNHyFrOw2zBf7jSl+iRZ/fzoCAr +Ne1nB9E52TUjyLKWrKz5SOIKyLr/I+/ZAVQll6z8qHmDDMNEAlbZxMRkYmJi +yBwCcb+xU2Rd/3O3HaKwMnyTTYqFppbTIV+KHASPZd+YLjD9viiwevLOOumE ++jQpw68FD6YrslArlKhfKBuogunYZ8ZBatkRBUxSCAxgsoe/zcQhkUXFJQET +5Gf5/n84X6Bl6lSibzACk22b5xDGgIDJny03IzDZ9DtHTKcTYGKxWtJV9//9 +WzZ3P+1pT+MP7mP0XgsmXltkE7SNxoo9ZkMU04KGOnPorceIdVDQdj6znqgB +lBWVG2tSszH64t3SNG8wiDvLAqMzn81s0k2K9Hwi13BpbvMTQEVtgwKo0O98 +8H3DHlC6OgEkLPqdYBBVd0ysqz4/xBH0hyqLieaaCFC2Y5DJ0t5E+zxnwbb5 +0yAU8+m/q23yXgAhhypOvU8JqqzpLhtuytnJj8tThqouourJI9NUCLJ5BK8z +sF4nPq9Q6qrrhK/br7Zu/tOxQdvzzAZ51Zu3TQ3DuRpNYvv0qkIFY6d7NxMR +BNGRf6YaQsWAKJUAjSSAYxDtti2BssWxq1mlNKJVyQ5i7MifB7+6VF9hzoPI +ts/TiZwFGkKCBeeeRIN8Bh3HpiwLCs2E6kZCHpMKG5MCHOtPu+bTVfVFGQ+c +jr3uFe6HhXgiNYCjVB1gOgJgKomdqKu1Pj7d/2xHM/MFy4kmhQFTibFFPSOh +EXR/QgXHAEbkEGyzctSYbJoTwuRFDJior08AQyGNKy+nFQEiiOMs9AEw0JvU +AYsduXMeRFlTFWN2/S3U6gXNRnFvItHSR+h0J9rfOd7eL9vYtW/b4VMOp5g4 +OlVdT4CHGlMTCfBIc3wi1dSGBefs3hddYM//haUcXoChtoAXzUoCF7rh6Mm+ +PlMZDxfPSDeCsQzGlSqq9JpUEgKavMS4FFWGvHCZhwi+/g1/uiOCzYHX9Z3T +H1pgE7nPPzuxgUn08+psCcpHP5GKxgoe2wQ2OjgBxadNc3DTfj3NApjScIEd +8POJdpYx3BtP9Oaxh0ptVGx7OxU1+gQ2/it2abLpVHUtITRKgbxxgQ3sftWI +zCval6kMhQlmuYqcVi5zokL8znDyo5ajGBTm3bIdFuUSf8NgTHr//V9b5iYo ++apDCKUQbNeC0kbsXM3Bd4BxctEEPoxvdPHZulNvLt+6fM9k6HK3vQldBoNN +CjHcCsuCt/D1BoP7/7g735IcebI8O9vQgiZpjMHrpK+KjXuCwaglOcIgtHAZ +7xydDxi0fXy2kqwmRz0Wg2HK9WTFY3As0bPHntHOROc7JYF6BXUw7fJ59ar3 +xVUM2rJfh/S/W0tPdzGqKlkbXJp4NrOZLjPZoCZ+xrvzVTvFXQI/G6L8oJRf +tkr5+HTKD1ccdM++5s8uCEcBOVceNMeAQkovt5y1y/fY4GqrfGlBh9CQiaKo +6WU7CuuJIbL2xNhPwuOZOO0QTIbGCYPTvRd35qUdUrnTfdYQOsap9v/tN4F9 +JAiyiscycVqGU4Lf725BF/Oc32XLtiMQ10aiIB2hlXmxA2v1aLUNgIt2xbS9 +80Rrj6A1y9SzRV4KQKU0GI2rLFNlSUtZ7HbuBICzJS7aSmL5826TDpu83vza +nd5f1mfWGBf9Dwh0bAHQQsJfVsGOEpS+PongV10k4vD63irav0Os0uIkjWHf +IuvpZdreCdsgj8olPvjoueUfDdtyFWmW4GUEobSDrUPc846zK1IOOinOrNVx +ZjvXebEe6WRgAm40GAhnRFLygYB3qKwbjEu5oCfMm0fwtC5hA5sq37EcMWT3 +ap2rcyQ8IAyJxE9ihmiZnQGIMITiJ9qCvYbHkjAEriIMBm5azhgStzQyO7ye +KLJzILgqHOHyL71B43gcTfQwLtkV3Xb8U8iUgQbU1H88Hwze3GGHvm+Z0fJS +MIa7+3PL6hfnWeEvOjfeeM2aeGQhRpGrSCcub/+I8Spcb97niaFGsHhXF4mn +Qr1FV9rcZJeYm6ipnjouu20n5/hKiuLlvT+ekOODa0ppXGR6ymTSXbI8cKFA +WdhX+JQPQxJkWYut5QRHtAy8a9euQ//fd3zmaN2Mxjh+KE9WTWJbWi9D4K1J +bDyD3U9tQgWYhejWsSYbiOlDsSW3lNcy2wt6hBBB6NCQJGHCfDaRvY62FiHJ +a/DAbkyhRrCcg8LLmt08WOVgUA1plzktiFjlDuYi1xK9AlTzqCT0XSbwOJLr +xoT6dFks16wf6+M/QjB8jL7I9yzAv43XyW8ulp66H6v4W9HpSq3oHO+MjZZ6 +Y/m6yaj886KUD0k5b/woHKq3VzWOdciV4scVi9VSAHupZZtjB3mVgbdKxzTN +Gk6gf6kx+nEyPfdshy4MTazaaYoA/y9uF4+3rmZGVIyoHH79czVHbvtG12Rz +wBdhY0hqtt8yM2ZncR6/TboermNWj/cKqueQ4T7VhYwQP2wYFve51tEX+HvB +IBxKNevZ5oBfsYb0PBedmFs3oiPaThpxwPY0UEFrLtGDVaxlIo44jMol7moY +GStTkRhZVbkyv1N1WRSL0zygY184G97gbQmOU9COfOJKseWi+jmCSXgp9y0K +JXEf9+bA3pScG5LbmXSzQpJXzcy5kXmPc+xvan3ujjUshXZJfBj6Ek/x0HKq +upwXi2sG98WGcC8D7jz8SlP9ckC8yt3YIlO1NdkA/VI7CM4vVQMNq3G83MJE +2uPfmGbbT78g/tEvbA8NG7r6n/3SWOjF78linnO5PN05K3Mbs+DS/5+0N422 +9K7KfddZ3V677/tmrd3vXXuHUyEXT0CFeDxyuFcd5gybEdEzLEUxHsUTRA16 +wCgKQRSiBk4ICqEJKVBiQUioNHoLRIki1WQnmsu4TX1y1IebMWqMfMnNp3Xf ++fzn/L9zvu983/VGGWMtstZualft37+dz3werWzlUWBsdo5oFNR5FITTwlEs +PnUPlUOKqF2hWDxwBBj1GCaKfpDyCNGan4UYc7RlUpUc7cB800zimWMn/oVv +Ljh2Muk8PnlLFC4Qa0GHxDunWthRtWKaN+2s6PTzhT+hID4yKAvrULIi4fGN +h3Z5jQpR4rR+kdySHljW8hGkcIFp8eaQ/kbS4IL8hQ4PkCiK+yai057b3FW+ +eCIYQDCp7IZ02Np24YmhGU8MPEB24gBpOgNkY4AUly0yW+oiSCLUNnSnipbn +bpcMEPpinGQ/2kW/+hQPhm/cy0kPn1uLA+TpP5oVOxcZIMaHVdkFxa6DHTNA +jFSXB4ixCzrGSQKjgc8KN2AIxLGh7V1MMuhfv4Jk0KYeDXQCr9OAoH29TS6s +I0Qw5D2RipMeyemlwclruWB5ibpeGLCv//cyvtToCGMvnCPUAAmJ9+Gno6sC +2vNxF478Xeh6Qf6KyV+3QqwozEemebNIIwhT4Rd3apA7NFXrjgwVJOgM8VBJ +i9aIOntuc8fxV0ci9rQzVLYKh0pLH65lOailTYNDzniRAnRp8pL4PNIB9GdO +xQGDS30p9Wnj8+BtNFragkpnDd0XjcPFLI+UJ/6AS1KPrdA/3RNUjkz+G++/ +5Ye2+u12O1sOOpcZRaamyKPoTLoCxQ/xKDL51EdqFP3hO08hI7BOR3IMlk1c +X5HJyNXzYbBwJh+dwflRR2BfE8ONmi/4IZFmJOaSpLNkzDRCEGAyWBox3rNB +f2omjfqV7Prf/CovdTB51DnDl8Yq1SLogSEc8urpG9M45WzPNNqTV8iCQM+V +fuq+KlLGVT1MtP4a7mIN1YoET5Xn0KX5HHVp5oYJFco2tx3nwzV6nuJhojME +NwuHSdsME3qw5UQ3jpSsrJBGwJIqMZQEPI0Gi5PkoxhaU44kf12tJwUV9NhA +W7OqHtzkzvMoeei3uACSvNrC81AcJfqe66Ybj18aHR0V5c8d0kWrRosZQXa0 +nNVyax4tcHr66R8a77/4d3Rs+JenQvDtVv/bj2zjcfLwdvKv97mElwufSMh5 +5MN7KfoHEf3k0aDsvwYlATZMiHSabEu71TeerjmxtgUnBcn0pO+hoj4bMda2 +EXM3G5y7S+MRu6d3U1tsMnRfQdTmhqNqgnf+Wj+1lhXxJd6bcmTjZkjotilk +3LZ4SNCBBRPmV3bgSkxNeLkhsU7Pk07OWq/itax4TGuzxrU4NsSSTOtM5jPl +t4K6xkQcG8u6zU63vqwWdADrlmI5ymulHL7XIg+MKFdJXnXxPIKBUWJYJUm3 +PEbu1u133t2uHSN3cPUDp3seI2h3oeRLInVSb/HfeJon98A6RdLy7qiGkUBb +/F85ooGBYExFahqGSZ+QfMt/QxjmhuNghM75PUdVheSZVaX5xMn2BKr0FGgt +Vz8VRDL5vi1cLDcZ6GRuZ80MfIae29yM9n5d+q8JB+NuRYwbDsbLub6rfHDa +QNG5ZDrQPoiY7Iufn/T2kYicDwW1xYycISsLpdfJ54n5ghbtodV5mZl+3y+w +t+0T2HjhPcW0dcZKFgY6eDTSTpusV5FX3jOeMhZwEa3fpQ4eKEPvbU33v/EZ +OjQns32d5n5eCZI1QR51LBPJj/tNdBJic7XBW6zka8Pi9jW0Y1/p7jOWrw15 +EngFLHcdnRZCtWTrEX1pvr5F3/6kN+mI3CVVgqLCuaZdOxWKHJZIuimCnKIX +icR/jTOROilwQ3Q2/7xVSmTTIXIx16uVMXOpolWfc7xloA+VmBktOJ9zxA3Z +ruXk88aV9g8arydhvvUkaVafCLN46Bfs9F/80qrfUJFsRBIO28U2RiYwizE0 +dTWDYUvE7bKDh1cIagx1aHhw7fpAdt6uKU8tOSDTJgX/IAmwUAru9fMxFXCq +2XHkXoa7GNL2BOamk96EI4GXJBzdEQbu6szdi99MBV1Qf3Udo0AQOOaEtHHD +xdmEQPkXdglsOQTmW7w0gaPqQqUkBEsyBLT5DOZJcfHTjTjTA+Q1LFuQvXO8 +xcShMnleZ6AghfiFcAu/wCxefXAd8x/xZ7YgCYsJp1Ljdfp4jH3WdzrvMYs/ +jefmOV7ziUPCGNxC+1xrxFmU/ve68K0IYdR6qcdHMHzhq+FfmqZQqJ53+/nc +C4NhPGA9AwujZ0iNmpOp4kw2zsjBF5rF88dZgcRzmBI5OJWuvaPzA9SrGw6E +WKJHHQjXKi7MbQfCfDeYlqV2qkni5TIjWkE/xemTK85RamKAMoAbo2VN1xJF +NOD3mKR4lf4E5twIIW0sc21AAUKpJTmuSF7dKHqH5yC0evr/FN4ztlsBtCbW +Xlx9f3gviqOFNZ2WAafBbUcmhnTpJUfhaljTuvpjJTQIpRNmTaa8KARLXk1o +2rSDIE44I07QFzdvPM8tZJq2+/p/vRxpG3JoyzeIaVGrl+PmFFlEcK/zT+FO +mQ3RofPJaEmDtEo4l/U6uhCKyGvLKbtPZWjLXbMF2qRmc/3hxdgExLTR1Hbt +rfmLs+jBtWtok13g7Yo248F1A9MWGhYPZLcH2nb6aW65NHXAGnrLkXnN03uL +TJv2gsaN01gU4HvphMd86KD5jMOfYf68ue7ghTulYQevlRSvJfp+Cq97+n+9 +GvHqOHjlG8U0XjrqraREIRpAHXFqGsW0J1uHn5VXbkRBeeVKv7XWEDZ1/yGd +KKS6PaHwcm9xE7ySzxeLN8c/yehaPSsui5eR6TNeJmZX8ELH4q8cCV5YOLcd +my542m86CqkFjVfsmj3pBbxGHbm+TGbfeIgPGX8Lha0STB1iHgNoa447Je74 +Ow5oy8WgmXls2AFtNIK2xjOXgDZIkL+j6BJ7N5PIoz1zW+rCksOgvAqxzHta +fweLpF2pED+YtvmPZugyJ5ufOxS6xJ2Lu4Z0hqp362+MxJmunwkfMmp+psu4 +c8mejO5jsBxehrqC+dpyHLsMXyIzonqA4Sv2zp6g6+OkN+Lo+o9ZZqQcu+gd +mcvCUeIUEEO/7KrjT4mK65ATWMe9Idf6FOT8vEHMbMxGHMTSBrN1dRalyQNX +yzdl2uf/fE2ctjBjs/sW2kS2nQNlXZFVcnEoU56uykpVNR4sHlxnK/AhQJW7 +WQ9Q1eSSsP/4cv++twXzpJKbcWMXbom6m08AB2q+Mvm8QtRdb+M+xlBV4gVR +iNLmXAh56WVEO3QVvUjvLShNJ2xMT9AQckIqlZxKX2YsUqaBy8d26J/72d4R +MxW/y3NQKD63ueI4CELm0naYWkyZOqCfo4ipUYepocy01dAXxzXxpdS58IcO +VKrhbCQ2jg0oOUpvLL7P3dtGvZiseWHq/NJqrZUByVxDJyDR+ggHLnBUcy2T +vDtk4xVhaTIKeqbJ2HAJTfe+6xTdIfNaKDRtOtZcCDXrOjaVS/TevCODNDSR +UFFU9EKTjtls0HunlDAEp0y21t1cdmjap+eWE464UJEmL2e1maFpuDRHjFtS +ox2z9nFTYT1hSpKFzqnObcvm6YllvWsSSSBtzqQ2V2eYSDTlXv/e1w0wtRmm +M9+XcUbK+Lepy4kDf2oyYnOGyYT4Ckyx2VFgwmLX6+cjWyY0TLFP6JlegGmu +nybfoZp7An3QCemDcnJzgUkKYFQThs72kK8ilI1uNLdZcowoDzRPGNM6/K4C +T+MOT/VMd355kJjYZOneaXFi1oUt6YxVha1coCZ9BhQUjcyGiQgJZA3H5ZMU +RjQVZXsjE8pqKBp0mCYnt9W7djU3D0zTW8KH4lUr/e97eV2sKcctoemJ+/kI +9020DjBN3X4+lwWpwFI61e4iy/Q867i5wSRiyFFoC02Syknl1Ba9d6CEOOKh +W488LSqecIz6J3Rb/xO16fsxnD5P5jToJfuqg+DACLF2CU3ReOujYpIVrhNK +HG5xSw+iJJBHhJtEyZ469NHiR4uv8URlmnDNP8I0nd7K5ble05ekfNtJ81K0 +2dozNBmtM9NkUoCFpm99jrsZn0JtiBc6oUnXLQ1NuhBvaNJ50vCvaWcOdSTp +lxsFei21TNC0r/QqYp3biDQtON6Ap0ILWaAJMybHKc5UpGmS+Qk0IYIny1LJ +/ZSIWGjFkyb9g1CBz7uudasVhUSTEkufT0JYnHYXiu7xhS8gDfYJRHAyX3zN +r4+jhCN9EhAbY8SmRnMmSH09OTFitI+KHlsWMdlLYcVkxKLH1vW/WY+IUYUS +/wQPowyUQSztNOkFxNad0vgKPc/088l3MN9qORa5ghgupz7oIKb1H82I2LyD +2FEoTvZzGXjTr2TCqnODhS5oL1azDhGXLO0EgatQz+pqzYHMaauWKBXdqtHV +DXpaHthT+g4RPuX8TZNllGtFAG2cQXvpkaXYu6FuRK9m9lkmRcqCZgS5DJpJ +GBbQXvw77ue7fy+AhpVRNBjRhvkKtENXSDsUi93o93sGcrpnetOOqAhXV01H +jiqg6UIk5rw9Bi06WgpoZDu/Oef4BoqHErW0MWfC2NVBjGHT3nIYm6vmNjLp +MIYbq7bD2LJirKSsM6zuqqQRYl33t2lx3TrfVXniOtEQJYzJri3efz2xHG4b +Jpm35/8055/kXZGagyPz9rPpUhulq/+RGRTeyJDrBuYtyCdgDqB4W1fVRYle +mabnVVXkFj9UMDjVt5F4lHJteNO6TuEt9pw+C+3Gs71dpQPCCiytpeBttiRM +CpWED4Q5bbLilXx6Kyqbcw3dNEM3IEBsxoEOLZWSw0Oh0vhpP78W7bUGVHe8 +5oIV3VYTr8ZkSWToSoRrIq7A9/zNcNMKgeg0Q3fhA7NZv6XbdB8/Q2cOmBY6 +owBl6Ixpl0BHtxJ0O0GvOnE1Feiij3MWOu2VihV20lH04P604SgnBTrtEYdD +5w5DRzOfGDy3I3QzjsOgQKdj8SaK707v5nTr9O4U0LUc6Caq+ZPMK+ggYHxq +Odg1jxZpgWvF+YjStiuJGVqhb3pVtOnSojoTlEnLOpmCEd2sovo9x9g5EbNG +QMnYmSB2i52IKnFfxmurCS+WtRWz2duCaH84Yrfm9AXP0POKU9022GlBzymN +nT4TyKlTV7xxcbbdz3s/D8VNXFXsWGZ2PXk+nZnr7oB5ki4/mmAVjd2owq5E +0CjiHd0uiNt+0YBpQdCUuh8jnDwX3QTPGUf4jmlSonu0Z9NcNSGZrM1yLZIc +NmooPy4wdE7crAnS8K46LHRG6MjQkYVPzDUW6Li7KoUOC+yqasQV07lZel52 +itw4sE7082l5uNmvO+rF41j4Ro1yi1EjdwVR83QiatMlqVM6inGsGLUz/SfT +ZTW9tR9xUOso1EqUiqsOanhPZikt6h7PVIcKXHXnHB052onmolJxJqMOyyV8 +JoAlR1ZZh2Nj0ic3asjIW2LA7rh1NGvoZBZOPpoaXcW+Acz48zJgxlRMAKMC +NxW66dVIBGxF9biKSd0cPS85ZW7c1o5n7MVIsyN5VNTiyYeDuI7qqjco2+zn +LaGHI2VTJZTpfrbRYspu15S1I2VjDmUtvpEtSxzrOohhhpMpSQcPj5QUIJXD +rmQeaGX3jG450FJELZwoUYGJcELXncbpvRWG7dbX5iJmzcUtw3aLPkIwbD+X +svlS5rhg3MMENhLrYLG6jMo8L6ECm7a2m6f3Fp2aN6qWY45kR9L0YviiWj3j +AfRZ1D6f7fUYtic+zn/kZaSYMWyTjvvhDWwhpmBTmp6BC2haPQrHzDHNGx4D +RIdbDm7oBpBpSUv6hxRuJT68K87Bdkp3A+gj5mgGtwIZmCgpomxIvnSNcXMs +jkyvvuhY9W2Ixc2oERk3mIBBfX0pxY1UiKjhJK/GIm7LWc/ov9qyuOmC+KbG +DTcSLOGRuc2TIsbz57NIsHq21+3nTclHI24ThbjZjqu6El4MBK4RgZvmcqXE +W5fc5XLElG1Yn9MKf63XaRY0Uem61Yajy56I8v7MgbJTTQomkyF9GSIdUbBK +njcYMccgyIhbgRh8yA8MWEZ4yGCdqYl3lgIrtpN8dTOAhUVzyfGOXqD3Fpza +uAErl9huVIfxZPksAqye7W3087bkYxGncceE08OpoaqaDk5NjVO8WpOmJLmv +TeAxxRxWFdYOHJBmUqH+qJbn4JG17aX/F9veTedYOqYV+lqu2qqm+JIQKn0q +RXWhxxAlv/MzAsxIYMHkxnouU3aeMnuwgFMzqqavPbVGSEkP+MnD21wCh56C +iVrMGkk/CIlOSpQukIOoUbUKZlPZPaGhtjA0bGmH8vEcW8yV8b3XbDVVTarS +2hjB8hSFIi8lReGRAxaW1FVe8+h3TrMCTRiOoe+Oc9bELW3X0aY2Kgi9JBgo +KveFwU0G6drZxaxhjXcda/ZcDNJb0w/Fff738FwlIF0+C+nHpe4pp9ljIqK0 +4FhMY8Kad6rj0EqPOMIdQSlqCk+sAF+kF+iJW2eUdDvxRERpjLFh7XSKEprg +2mkhIPLTzrEDdZa0tA2MGsMR7djhZzxt3rBVI30RylUj8XvUsmgV3TOixRRl +ui5J+tF+vlDw7DA2bOOihc7eher1tyo/couNCAexT2Js4i0+pQ9jt3TI2KjW +jdpk3CzJDKQtphc1NroMjoaOYSXRQQE7YtPUCVT0kC5JLbNAk+9aP29YPhnJ +Ga1CzkvJc3ZFO9N/ckmq21luSmShjdhPLvDIVipefi1zC0WBQ26dvvUpZwul +UnmG4glNb8xou0/3TxKxQj+i7Mj3mJRzv5XLejV3oLyjNhbkB4YUIwrkjU8Q +Lf/mDDY+ZoKJLCSv8hOMNoLGBDPnVLPRZtbp5wPvZIKhmUgKjzCMO+Uo42H6 +scqskK2asDIVWRlx/NNkwYo5irJgBWpu7v+zWas0NaZTtkj7l+yN2hYZ/Ndw +CsroIKNYbIl4ioqWzFrR3EinnKB8IEUE3QwknyDLJrFD+25mxW63H0/5uefn +J16q8f/UdeYdGX7MomX5MTpA5idY3bxtCvyYmeaHv/+09FWEmQb8zDM/yp25 +hqParFOkNvxowY3wowOjGvR8yPzorGpYjq308y73U7F+M1zCj+5W5HDY6/lZ +R/EjS80Ard+IA8+QbnLNZxbaUoyIInQz4SEf2VR4edpeOGLEM1lBDnHHOggR +MZOqHSeZD2zVAkzN/tXPhIuB179m8/lms8lid+/e0hh8M0kBK6sB5DULNjBn +fnAMJDXp+cDpoZiKJM05Lsa4Y5pxys/o9x9ydDVCki5JG5K04n2W3lvu573q +pyNJHee20iOpPoikcF8UKBkcBDbuwITrTXGMoLtGrxhCG5zkY9jbGN9rEv2J +RcSGqh4r7ZWRQXz7kxsSoKHlyrvh1jxMQWJ3SkvdFt4bijzpVfnGG7YvKI8h +k97zOmfps3DdxxdH2C8xXGlc8CWkkFzq7jvtFNNxQyRw0Z4H9+ZXIJm50pt2 +yszwOGkrLY1MSQKXLj036b0DRwA/p+FCcZCt5VO4hgrhaod0RKI93FgKWG2H +qYoN0FMOU3XN1IBKiriQ6CwMyWghoTvPW2xA0hkkuhLRqb4Pwp6qyXR9+wG+ +33xgg67tH8c2PaHr/l9zrgc+kCzgj65IziuD5t1Q0gwWO/AtaEYYyKClSuYs +aOTAQ2tiBA2z2CyDRg5W0glmQNOF5X16bjkzloCmi834vH1HWAPP9iUGLeyu +A2gzEbS2c9gPzy3d8Bp330zZbf0nViJl7Wqav9nctlvLQeertXRJaVl/6V7U +votJVBXZVce5MMLqOcSUaU3qmprDCiirCZ3aI4IvmujmqJ856BlbZ4ubkQcy +bqkdSYJbm573GDfauksvxkzEbcZxtYW2YcopKePCqclo6fQ7wU27RGD+23Mk +NYjRWFSth/Dz5saesH0vxq0puMmWnUm7pf9UOp81qyn/FkpJm6lWTBEbEd30 +bDTxpEKg332UTg1WXYkSgb5MRAxYcoeZHZqt8Et5FKZTA5kbSi8378gw511u +Gsk9MxdeoCsoSgRv4bWkJvnCf79Bf9Sl7q7TsTEbmZvOFP6omQwyrklmTpZH +qjIfBifl/HQmzIlbBEkbhjRz2IvdFya8+SxzEKw+h+o2M9eKVwlya84N1rep +CY0wuy6YiQ/2oG5oadPnrJ205bDuzFKTmeqKF4AotT8tYd7SOnmdwiOKmEGa +q4k4M+J6fZSRwer6hhvxakGhdu/b059N7rcItWGrftZ+ECa2+nXplBdryIcG +tQd0JwejdougdvXRVdq2XOruOO0ccxG1KafoB1n0BKMWe9Ae37aoacWMoKYz +1HAK3XW09pjeFhi1WJV+Dgwyas0sai/99af27/6BN96Iv2TY9Y/qtXOQsq8m +na76ehNC+ZaD2Bgjlq29iMyBai8iSdDd9lDJjzg14smMwEr7Q8QzxefWRJKg +1QxGMU9MYY19HGY3hrXcXeqHUIPD113+yFxW+WzOmsyaMe21rN2hd27MWk9Y +e/pTS5Y1cqDDMvfwNv1W+YggrOlGNPR6jDNr5IAtH0CyTt3hSvQMrG/AK7C2 +o+T21DtLr5DhN696ZMUReiGy1nDOmkfprddt9qw5jHPBoACxrkNbYQyGmIeU +WRSe/FlXRAk6OwD3YWJnRFt8qRiPqWJfViWoBFdzajoUVpe0ZB4njtuO8Wqq +ADj8jG87AHDyded/L+cX4V29Gg8JC5xRAjJwqRvJ3XM1nEy3nf6O+Ti5TTq9 +agY4XXg+0sBpuGRy0yoHXOZvO3p7ZI3OMXCqj7a2GIGrO8CdcoALCRWd3unT +p+9+fTKoy1K4MqzBvGbEYa2lWCtpAVp3lPKrWimvC8vD1fRWiwpTMezCdm+G +mSHOcOp9HNeBYI1OqB5rJ3+KPXpYgN8BqXNNsUYXGrdnFlLDn2XNFKT5nEBC +1pBofKlrWdO9HXnWtHGmYU2XpCVaj+o9bIcf5zWteTCYaYU9MpBng5vXO37u +huUIV7hwlTOAyxUXfe76YMKEEu7tORxhHhtzOKoP4IgtBHuKI9jcJK+WtfYd +g+8PgrtWu5qQasVB0Ejf8XMmjIT7jJQjes8UvhOu6OZjPlUvZxNrzzuXtLTr +uiPD0S+EDxm9H89ZqSPJJQhJL5FiLbZrsEsXLUfM0YRjhAk/gDGnHn2s3pOU +OZmu4s7qBEZfJ70tRzKPQPYZp7XWEEU0oZAgkaFuMGNTBzOShWEdEpumzmbk +FLpcPKOk04Z8uMZL77/zKMNruJCjA2tfGmkzsEIyP8GyUoF1QB+amOJgvr97 +Oy+Tpx2bqB6a1WRY2h5YvnRGy+TptEAHUXoVPCc6uFqji5KcOiNAKgLo279/ +JGtNYVo4mFE6RESfE8uoEQkyo6kAOssofDC5JLUYN3LCqHbJhAHKKPMIlQ0X +v4XROH15IsETiJ1PeptRYb9G/zVd1JFblonICVMqHhDpUxQH8fG9GEqVPOqc +VUXXKxy+FgLYnACtIQ4TOo2HTkMMeaEhE5Teo98cHR5n8VzokZ9LRwxBcUT/ +A9/9na+WX7LEspnr6EOHfowLuWsh6omiZK3Nx4l8fi26YWD65e6QuSjZT3aP +ZMkuYg26eR4gGhONkHwZlSumtHAfk/V7RMKRR56GRAb51WL/DKPtYOSNVaxF +3sgXGfngxnITTi01gL/pdJYsxml53DHrhIPUCOMdy7MKeXzyf1MKIZCNjoAe +t50r7RkeJPUIKVBNXEFLONTVJ7clM4p62alay48GBUtBZQTVWpoBVxCOxbk9 +CjuM13rgMqG1XiUL7nRxQtZQ8scexwAgQpy+mIrEyUCr/SvjDbmb5owsCmpo +3EqAytA45QyNJd3g4rXr0VBhi8ZYb9HdLGj1E4djsfAg/J3hIFaO2ukDu+Zw +DTmWJhh+CEI4DAP679wWKlkhkmEg2l1t/KFuw1/K3EwapwY7DMwul4dBmhF9 +CVLwS92e6n9B395luCPxMBhzXETNMIi1ZTUM4nsZzSWhQelO9RhzyLlPdKXE +MXAhN60GvpNnav+jeySK8mz4abaNkK1ZTHqDI5sl0IQY+NdGXjXSIM8WfhBJ +FqW/W1gZkjUGzTuNVx6BiGayKd6ERSOv59hqMGzrz9jjYqNzyy233Pbpd4fd +vCfqW0i3ScPRUtIrSPJBLcpsXng4HRHT6YgodmkjFajoa3QRCJcTYXofjjVI +wt0bAlc/s14TxejSdOpM4t3Ov85571T49FChtIrRN4T3UvObZAyM03NXWb1J +W85yHAOjjtUp7E+HmXe0vLKMIuyBmrhpoEFDOyNkOFnaX3HSm8N8o2L0oR9o +7mOf36Nk4j8xCEO0biumu0nqLhWzJI2X9Glq1fICEJOHF4CILrgJp5t8LR0e +TT08+mlYlXPwbdzxth8Pl2F0U+eNkNl0hAyso9adW7lDp1ttIruE6AFDrFMZ +iweImNjpzrRh3SokS8Yv3XZsmwx4vMg+q6aCcXm8GP/f1znv2fFipLI8XtJo +6KfW7HihWxHpK1qJ42XEsW6FG3UzZoDS1Pc3Wxg49MuVFEQ32O2TexwayBFp +9JD0NDoXS6hayAhF1hp9X4lgSxajehp1lRsojZiC+Aq2868oMhQZAsmsST+r +jGwa5fRXoa+jP1r+mjQpmLhfiUVscCwiBMM8TladtpgNPXZ0nzI06JP9fLou +3OE309FzC32bdPQ0sduSJoEX/nLVG0DTafN6Z5AlqNRf4rWgGkDaIWtMH09E +2Jm9KudeBhxZ1OjRrpD4e0pPy6o6ilDJWC9A8v/JgBJBKBvIYO+kyiixHY/H +k/GxtePJCIp5PKWGRX8JQ6hL3Vw6z1eRzMWnbyRLk7r1HzdjoNQLX9uSnCnq +siJtDIGajB4OD0So2iMf2YfMgSOtigcHbXR+6lU2vs3kIab7JTMAMKLoKyVu +FN8wpJDSnyPhpPe+26SCyjBAhHXI+6VlkH6i5G+RIBnS4GgUUIE7GQRxINDM +8fWtmJf98sVNiZfXmkVYS6w7rT1deh7n8UH3VDI+0O4z4YwPGNv3wvi4LX8a +ab2JFa0mvNAbJJPp3aqvoVBupx3nHlUGiW5SxZW/pGCUSVeTFajJgyK2Yz+x +HBPVtWKslfZEj5iBktNlnF0T26Z926uhI3e9MpBRVdsBIxIejDEeMGkm9YcX +arhYnVUxG1QK4gcM5hqcikWLE675PrxHA6seoxF54SL5T4gjTAYHbbHedUoy +4GJIYjo4bnAHRzYnccCxIpeTmAydKrGhOr8x/MhUceC1MAweGi7JkkkLIVdU +ZUWlpnGJG04WXUkTpXDuZDlOO+ZqSiweihXP9A4dySYsqtacXiesSmOOewG6 +fsf7+eBqhOBsFJ702zf3n1oUcYkeXzK8dA/4WDq8yuMMx0rGlu7OHSoaW46u +V2QmNBzQ0qLGltbJNdKLgc6gsSVW1yJh0p0KjtuPVwIz9tc8zn4xfOiyNgx9 +ffhHjyZT7/yZeaqs1jFakpF0TzJaPnCAxwPvPUhm8t8uGjANs9VKU0VJ11lH +sGiFM8kbT+OBLynNFqU/D39yNrGRI4Cf+NheSAaWxMb0IVIr+igUCqgao/DS +dkRXcrUh4r8whtQI0VpTmAbK7kz3dOGMM5qxXKCLbdgwjDkjBEmka4UjZMiM +EHqcfJwJfmi95g2TkbRSHKp55KvmKRCSLd9kyUjRdmyttIBSPlKuPrguahlt +vXbA7Tt0h8CC+vQueeA4ERfvmNioxoljUGTGBI8Tujw4yKxHv5gOqyiV5/Xo +2tDQUP+GG3CDwucx75zwr8kd5cReXpvoIYOQlIPJCoZHspxx3C8tdamtavKl +NWgj0sPYUKZzmnZWyHxsOXovoVyb2uDQduDI9OHBusKU070dPvC3SEx/tjfC +lH/jLH/F323V4Gwz2s/HTSOCeqX4xtcVGep9kEc6NPzDTt3a8dmdKSFdN0ij +22y6mk563Jn/D6KkcFEd7R95X4EI8exaUA/iK4Tp/vnl/p0/NgZfJNX+kS0J +GtMty7RR5TPTTzcajf5bbp3sv/wPWOIvkaFbrstxPR5KhCvdRn0QD/k1q+0S +rrR/Dfjbd2SssI9edrrUoIsYdiwf4Ms14nBFPnBiZD+QKzGvJK0XDqEf77pc +tYq4cvQQ8065WRrQFFepQqKcqn/53JoIKXQ+rW5Go2ul5GO1uYp8iWIwShAf +R8/I48sArea6Iply3GvDe8aA/MjgZlT5jBtV+Pq33oLacw2am1XVFCmmlhs5 +3F6rLKLx3HCUXccOgljU9xxVPpIUlpxWNsgLO44LBBwHh/v5iHD6ZHEmH4hb +k9GKNvP3+7gBSy0ZLFE3LBXilhq99aNjVrECmlnjfEVr6QC9oexNtfRmSi3X +TFw82pLUi5bwF76wKopBXKCyKAL3/S0GTsfWeoUvZcMVtdMM3C+FDxlJ/ut5 +Ha+JDdclKMkudVcYOBRy2c5yI66bbccq+lAD58m7NIRD9N6uI8lHDsxipr2N +7KOhnR5i4BLQIldwVu0wcFefSoEDhHMVgWsVAtfUwKWq1YH+uqsObrp9jW8a +oji1SA3NgvuFuDhC5NVy1DPjzNiLX1wFY6ZXM2VMlIJahYC6aocZ6y02sq1G +JoeRGTNO5JYxk6rAjJHXUmw1MozpFso0Q6/l2EODtHqJ9EtzB8Z2HM00kqsW +nM42tIK0HVcJWEYP9fOh3CPKRvWOQYxJnoYU07/xkV5+Uouy1GIvXSnObziE +pV1rNWsbrl2zSjTQ4umm25A2df+apmaEgaMifhY4fM8EuARGvdpyrZ/2So/T +SQvA6ejZksqMsSK3wN3OohZs2hi4MzXlyTVLz8tOK2UvAtd0GsINcJ6Oi/Wq +eNXRwOGXwpppADfv9Lah26iVsaZIDgU1eOK3HeBGlc3lQOCGMsBRrVqckaiz +n6ELr1SkYu73GFx0NxVvopMCdW3Fm1zwaIOtEh20yAN1C5LpXdPQdJg30tzT +n5X7noE3OT3Qp2H5+NNuDbWNUebt2kM5r6XbncqFMSWwvImI6m7FWxp1/Ogq +bZwudZeUoaX0Um7GXZvwpj2hj/g9untkDRVJoYFatEzJoqal+GZuA4Pc0obn +ZsbF4omPg8HnwGA2+H1MuQ4ORK2TQY3uEiFLbbIEVSa4ARXkbTX3CbIgTRpr +9dVIvZpGWvR4ugdpTTet0V09Rt69SAKIjLncBsbEFjVhS+piobVynBnjJiNt +zHSXAKMYM4dTy5golM4rxtKA408t0V7pUndRuVjiJu2bvcBYJ62OWQvo4+w8 +l5Glim4PAo5tR4e/qKcz3ct2oBkDfB8NKTJ4bmYYe+Lj+/CME48vj7HT/SdX +I2Pi9IzvzLmLu2nXWpqSJ7uxjG/unsNWL21SG4k1pzKeklOBxF/r3g3TmKad +BOoZnnLfM/C0LgEJH+Jz7xdXa5jHJpknx76J5qszZRcbzNPb0uksnhO+O7wX +e4jI6GuBeFpwGiS3Ik91x/H5WM9jLPQxmk92c4IobsvR4yPIfU45jEu/Gp4b +zBO2dmxpcaB5CqAd4NW4cuMxerCWw9Oow9N2Omc1dB0ybsDol851yHh61ECp +JrQwMYmUJRYyU6GwRBHr5g3VcDYCwTFPTIXwJAukmFHSvgz7vceXQx/HNMMj +0bIKHnPTy9cUdBcRvb+ODTxGKM+TkfH+mtfw6I7H7QhPDSueNnA+zk5PCp0o +qnwGoqdnepuOTH6ZnmdVq6N0np0K0vm8ScVhEMzn0ZlQDimEzpvK0BljdHRi +dS9FZ7jM7RZLISF15OCDU6OOFnD54x4hKaJhNuX3cE6cUpMO3Vtp/hQ3204R +DY20s8zNXT+RC5I11QDmxph+W26M2py5geeXNAFh0pnPNC5e+MRubSflxjZk +H2fnIAWN9mxCi5DoH2Ls4gnafE56MwyNNgIXp8HkNx+d6I9CW1ngJXoJPofm +zug84V0vGF7GHV426LmhmqsLvJlqknOnnd1EhqpVdcvpWjZcJkMVo4jaodPW +M5fy09AmEbWYhMzWN/QZu051CV87B4Ca/Ze/TNWpzf5rXzVPnTpjziLFDBnp +kGXISLWZoRBGzG5fi5oh3ZC4EzfbNWu4LAxRHZTnosiQnozQrthVKm0JAF2l +52mnh0wzxK2wtWOeh0iNyQiF4PRmxZ3PBONDg1/wWU0tIdJuaa+Cc/Jn3XZF +gtDGP8yKME+XSb/o1PLW3n3KbKS6ZUKn1ySLm8vMlNg3onYQKzqT6UQ0xBxt +9X/jTHrXdnR0dLbVasnENOVcg5odN0P1ywxQwtt1kabV6Rn7qToga0T9Df3v +pvAVxgNsiZ7nnN5Fg9wLX2OT3Qd3GblmzMSmvv/kHbkdpQOczGZwm9hwfC/X +6HmKCYtTmjJq1gYSQl2YyU5h0ppWLdf39P95K0vdQfLritRJ1B0uo+8MGvrw +ERR4BrVN14YrUjeXnu9ChYe2PQVixna8BpXJS7eWoP4zUcHhRq7oxZaEXolM +Sxd7UACaAYQjLoS48P2N3f6/PLQqFk2j6cp3OcOjsQG3PN7FZUcYOjXDM+F8 +nR/0pa8Jn2o8wgyIukERpjptBvHlf+zFQqTMfTpPG/v6U0rohGJIFkVlzEv7 +3JPeJGMXe2W9LKoCFGfCmupRaOa+KYfCmAfqG+lKxWesIoAzqRnOQKGgxH5q +R2aZ+aJA6sH1UEUaVyhqBxyNoqfQEBSlATBetoYNfWcQilSeXKpReO2/y7aI +eBerxlTcYNmSajjt/2mGxbLN3VXkDRVbRZaj8hCavX1Nn7aFlhsubXuCW4rD +jLDohb/ZqsHhad2RsILICZXbknWs9+hLJ0eeCIm+58rpE8P5eD/5lEoKLXfn +nSyhL5el0nboy82pn9wQdxN9PS/06aaiUY8+zxMnVVAcMHPa+xcXrlPVmGsx +cy99aTHr5ESb//syl6vXtVeinQqNypUvKmJgMpmGrRBrM05rHqhrMXWpxXQ3 +Uqe9T3AaPXBEPfCyW3PEndgIjjvxLcexUbsWcqxo90fQnVLood37OehHKqE3 +46AXgzW+wlZ1Bd6+MxXZG6/CHovTJp2r+sLmnLESe5ysHxPBLFYnouORa/9o +RzdZQiH+5oHCDlP4/McyHk8IcvE8zm8Iv4H/Hj5klJ/fFd67paYu9leJvWnV +EkebP3qF7V+T2Qt390d4Jeut9kIBe/sZ4Q8dTGDbuerIJnGQHXOaWsKM18z2 +Th+xPYCaCJWI/77+P5XDN8ugkYMYfAqfsrmh2bBaWg6pBpnAN1+RPcSIthR7 +JXKxmRL2tGR/KL3WL7fLEaGF1mgIe1I3onJAswp7D717h9gbZfbO/+50NuTW +bPz4xEsr7mWfQqOrZAp7QuGFjy1aCnWjmaKwmTbvXyHvna5MgtpMxYAokVaU +ygcX7BVH2WhApJta6R45dpZj5EbKJKjX5LrS9D4waCacy/ptPmXTRIus7kKa +aCUYcVZpVoAxOd3OM3ixy1HBqEvuYHuQ5472btJiDoFRCkyxljDBd3ME4yPv +3SYYrTogwEijFTQ+8CuTWTW8d/drUkMsjUYRyTSayGVkFE0xjSTBBStf3azB +y7/Bc+IfvvMUe2EjKeJK91Q/zYIQ4xSoPvaYR+rCENEG/P2XHTNZXAuPMnvU +ES8dF8dqoUYKTbiXebZ3GJ2imkobOZDCeYfCTobCgsTG1YoUtlMKB+vPlkow +pM8xVdLhjM1Igf2TuD9plYeQqEtT45UgXKPlDBDe/dM5NynvItm0Q1kIjU6S +N4UIYBZXMkA46QRlnQqHkgBhzJbEq+T5sJ8PlGhrCLWkCBAuOTpJlLVGVNsP +FiQFYTw6Y61Ong+UzRQ1ukYzn05FHFM74raCMJc2kvaWbpRAqBsWmqmEaKAq +Tefz0VtFrT2dDH4FLjeLzu5PzsKEI/5VcRdTDb85xu+OW0eySbneHbQpqDJ+ +wQDZqiZ5DoSZ2R1vRpMq3Ydc6k4wftJy8K3P7dQku40WYV6pMct1Dxy9EZS8 +u47ADfE4i47ZLAr0w5lGA7INOHb2ii163ndspFpKbzSQvMVIXoNlRiU5y0G9 +UQE7XGVrRUc2bkKp1DZKsNP3KC2Fnecqw9iJmEPnS+iGAjpb0OV0EEgOa+zi +T6eww2ctMHq3vjY1bOIrGHP8UB5l0bfdomfElIye8SjboOdxJ6DrWHy1o3P2 +ZkBv35EeUamtt+NojQx6WkcJ/VHH6UUQ9HRvcZue9xz02qqW7x1LzJX0El8/ +E1w0DWWjl+nCTspmuwwZrcto343gjWnwIMaVKO4ClZrEsOEf9u7tXF8BG8PW +GgN4Y0sKEXtonciObiuIzsYooqWHjyx0UdX7F2S9cZ6awgCdTs9VCt7sdbRx +CbPQGUElQ2dU4ht6vtNdMF5WpYFOa5GG6XnbMQ2b19Dhn521lIBuiAEj8y/8 +GU9uuwGD+Lxdhi7uA5/DB2JV17uIIeiumfmuFtJMv/GRXi7NlEsTUd2to9tO +sR5AgJNF0YEsprfpcj7ea8ZLusFsiRZEpCPRMagNjsbAD0yMk4mNHgO4ApIr +zJWOzGWubhWFmlpHTUfCqwxXB3yWuFtxZWy3unoy0+0uR9m19fMIjbhCiRU5 +TZLhiq0X8AqRqAuOcBLNCG1miHx4sLX74o7hSnZ1mPR2FFe4CHwOH6D3iuax +a/YsYSN05JdJvwD6hSZz25FDlNhki0gtt9sL2iKxmtK1/e20cyBwRCTSNszh +aNvZ9XfTLoFhMPKOnzwqYyfMXWsMTy3vv2Muhl/rTFQWHhECoLOF4YFflai8 +e/Q85rSuCDzRGftj6EG5QtETOSEALHq2HBkSor/nHUUkWqdaTijTsbMxw2Zt +u593cOLulgccNcBS/7H5q5ION8tqyAHJOCK5PXYg2i1x2pDpKdkNSY1Vb4w2 +44xU0H1MazGu7VKrmLh3f3w5KP87mUVNzgIZgMDPBvNz9ZPzVrWtr3SNdzpT +8/bwIdE96tKVcW3aJGpGVTOKGF7K/ilKSpJDI6jZYWpULb8GIzTxiohuaM9A +3vhMb46poTdF94gFrZlpCyB/MKFGp1jicLnlUNMup+Z5W8myeUpO1UrERroh +xZuGwrZ+1PdqYZ1R3xoPRb2RVoh004654dJmdkIk2RfVpE6lk0ag7h8q2SjR +/9PBIGEKnXQ9Zurpe3KWLN5VrbmXsHQZYSTTFVOXycNoi+gacTpPhC6tHoHe +bdsp0MNqssd00bQjCqVlep51pJFY1hpMEjnIYRd1336kS+/YcX+22c87Y7Uq +0jWp9khl4TaiRBJhURFe3TKvEnZTlIsyDzFRhdC+bC1FbKBfgkQN6qtYuYHQ +MsnldEs10n/x3GqOOFoaoe0+typXGZjNtpi8c781ldVzmzMgk3ef9le35Blp +JZNnzIAMefHiK5LX1HKRqFoS+HR9Hna/XSdQboWeZxyJ5YGe2jB9/smBkcfp +XmIUE3r9vO1Usxi+XvKvGOEb51OhJCtlC1NomPvzNbmxzV1HeACuKWFmVgXH +4dw1MbahuQ6bh8dWcgCSLGkliJbKe84ZwJp0dsa7DUWgvttYSAnsRAKJOofA +Op8rk+kvrON/ggrMeYoRB433/Px4Ntz3qnM/awoHlkYj0mQaY5Hgvt+coc3n +pe6w060iNKqY1ij93XLq9vBb38holShvbpXem3bEmod6KsRZ9YOWRr3fR32/ +288bNXEjwtmCqTDu7UeZxgEhTPK5lWhcUjpPUhkVqOPEP0aXRAVILU5aYk+Z +PjsuM4+eBUKH0cPq8b5tgyMCzjkPZy7tUh+IozSzf/sTPEY+sUFbaJB454+N +ZiXn3lWtubpgEn8lhTS62jKJJmYaJHYyroLU53Ks9oDSkFzPsajr+GBx3VEu +GRa1hPNUcD5POxYQLadY1McHKJw2HBa5s+Fc/5/Kl+XhkvqU9W0Vi0rLncfi +vGKxSHOczHrjJSzK5QSVscQGtsgZgd5LQBxh5qi5HfvkD23GraDOykEttVmN +Q2l4T6bD8ItLjqzC4W1vSJ09+LRq2mO8fivLoSg69c4QIdW3/wh8Yulu5xIt +urmWmWNnt9iIHG46ZXzDoTYtWqP3phz95hG/R3IRFsbFnaE+i0Diuc57wQuf +jq5c9A7wazvYDWUqUqYsmoY1AbupitjNKOwKVcef3JgqwU5vFMW7TswSCgw5 +pKVPt4gKdjl/j0Y17Ibp0+rMGXVHYAH78nJk75ZXtbMmH0YsolxloinDvzfs +GWdVZs/o13fpuc1kvfBV/n1/Yjeyp/eLzchezynZI+tpLeMqQ1om8DjpqDdz +gSdq+tPt8VC6r/FWUNh74e+2iDsPu5bCrqAcRdihaiUKOeIEgo0C7CYreBkl +S6qYwWhTXQ+7KY2dV+AK7aDSgCMVAlKJHDhHk4lwM1wJOxRNm6IKQUnrNF4J +dk7EsLlWYeyMgthiN8WJxFBuMnaoGpzeb6fYDWWvVdQFHW0MRcvUith1nSI9 +8hNXHeUStoYTSr6J44TCzmuc4MMxXgG7VWulde7/TCZTj7lsCdQz1YSb0bwC +DoQUADemgCt0M3pwfcHxXDh05r5xVVGlz5V21Axws04/uwCnxSCjGrirn15H +zdNUzVLgYLfQZrjuffsel7RS4BzfD+MW/dr0vXhLzMC9I3zost7rSbRdTRnN +7Ol5Tt+0HGX2fyRXasdTsACna/PIIV7JSJPIYhYn43GGKx5IVKy61x6h++bR +R7aSmmk9/799341Lr3nNayTbVQOHGxZye/VsKcm1CJPgYglsesYbHgAb64mX +S2DTM95IBrYC8wSJ/tKK9QN1zqBPCxeC/Hx+eRBrNGzOL4v6N9S4jvBql9+7 +/oWFrC7dGMowbPfo9yxsosqEbJ1hO1Pj8gPp0vcJtpbTi+PVRNtxdttwqvEz +Gjb4urHJDGAbc3SZx87B99g586Lxdbnw/DAM2P4/VZcye/t37ItQ7anlZQZK +e0AeOeDJnZ8yzHJF62sllOn3hhRlJZYKy04FS06uuqBhXGWKCYPkbYRhIrgI +Mg3Y5Y/MZh0/vLtkk6JoATNCS4mjqCnx+QEB1mSYYllTASY7ORIeDUXA1p3K ++yw9LztKI1wyjzpCywBYM62jn0AKfOScZcHYknN718Bzh2J5bk2+7/N0N+KU +roDXWkW8GjyTKbus+PsjrSbbZeGzNkoQ0zbvzQqIJQdWiSChA4TUt/adrVvr +FSA2zjiF08W+QYyV5TpI2PRuMWLPa1MZi5iRUUpCkCBGpjKHhFjD6a0RxLTA +qBMRW3OK8AYxnDHfeZQ6qo84Mspj56CKEOJTDJkOF4btw0LhpVyrd987Q6Sr +gEWuzziZihJSy8+OePOlyELGU3aTTvfJ7IdFnyPKIG1LFIAa0+9FkVEJTF0G +J0rIFUx6W6YdZbKLLM1JDBN04pMMDm317/+1XQPTfW+byJqCmFs1hsnccDBM +v0pP9cuqo0YQoixqg5BukZGzJfY+fxArXozQqlOKn6P3lhx9EMrzw44e8tg5 +byIZ5lC1SEtw8GgwmCkPGLTpmRxc9shHEcCGLFc8aiGArZUNo7rw/zwZDw5T +/Qu9y7SHo6kMJG4WktjBvEXveWlkkrW0XYjfMN4Ti6IC5GpbTjFV2k1l3ST2 +ctgyZy9/eQXNMaLzxlHhd7YNZ46JiGHq5vAecRc7r04rzjIKSLl4qynzGRBX +V+0w4rama6wiJBqOu3whTsr4L3xti243r/QWs1l9WeK0DPLYOWo204pDE8VX +utbgB654UQFDDZbTwDjbj+496ijTNnW8HzXa1EsS/pBDVkfmUgs/BKGvgpxq +XlhNUcpZ4/n/+IZXH9D+LJ1NG52E3fNy6MX6LFZtUljQeZHK5S1u9RS7Qey7 +58C7zzs8sb6RzafumBZViW7e31OTIn0efY0DK3pZZxhMqYZd+FAvHknPfN9w +jBRW177XMkdS469rYTXKSbHQrynHm1N4xi4OvvV8+jxW5waRLQ3HyXHF0QQs +0HsL/TRmT3RK2xpVPqWmaykReXEzhgQ5aZO5/D0caxshkSgkib2CQNUAVQus +0Q8jvMWoYBA5OEyslY2bRJwYJ7WGH0hnTiL4FRGwCINNxlbTjdoLecnwROTw +iQsI0rvcy+J/QfDHfY64yen+HS2r8tqB6EIIoy/5tAOH/p0M/foCk0YCDadD +VQvGhcrj7Elea2iTuTjs6GuZfrTjLEtTxLc/wfaYH9uohRm7lZyy13BT8wPf +e5r8Vc41m02Zs2/WJk+eaY8dBkboKSL3mjLtOcKzPRPLGNCpwyNxDCw70oRF +em8+o7qi/JG6StKTgJ/iJD2kBGUo53whSelKBhjUgDh41RFbETIeM5l5NZ0u +iZtAleQymPKyUNUm3qPvCdBpIIakP0nM45jJgpRJXnNI7xN8j3lBqomXY+xF +ehZax5iV93T/n3IDonf7bacvX//ianoJeuAMiC3eVXsqMdWahN222nmfUi1E +mOHFhTihoSx8m+rZbG4lw4T+FLrzpFc9ZURUtKPhRaWGlWKRh4oUCKmvMkjH +Omao4Pj6n5MDzi/t9w974/ekOx3vAp2GxF2Znc6vhQ9Fdav6dBPOLaNGdxgd +O6e10ThqFrixSALyZPTQSY3+O9i/hNCJzKiAb1E9puUhPyiNX3ngfbQl+Z3s +OEke6Th5pbmScwM3JxzBmo87+uVjngFstGTI1KPBRuNKMvV4vIfFTqXo0Wm0 +7ifpLTlXIkP03i6PHtWAX0NkAqd9Xc4vJ006Cbz0uptvEjcvudfQrjRaAleQ +hhetwvWNvwyeqOAUS2W+z/DkdFSiEpGcuCvxf22onVXJMUAkRlGidH45dIku +O4XOdbw3VDiGTu5Hs/NXCjxsvCKBMWu2g8oIgOWat6Y8lGRQvfi3rA6/fy/Y +JxWE6NWCRIQOFSFiiEZhE6UECSHSAWFpnB5VH2Lc5Kl/U9xkZiVJxoqsJDpU +6VU6VKk4eHIoGzyJ1YR+qLCHCIMFsZM0RSSTBR7JetoI+c351DysyW1H9SzC +A51q06H3dpR/ANQyz0LdGtOSisYRTtTcBH3sjKM1NY6KYu/aafPh4MG0qnZp +BYMpNF237HCqWauTlbKB9dNxYIlYiu4JuW+nhsraKg8sulDEfVHyaqXCwGry +wHrpi4uxJ6OkIEK3PPGC0Q4so33mTzf54ZvhJigZVzSfXtjEskWPq19JoPn2 +lyiJ8uQL2/1vnd0BxYirkyRKE856J0ZLssDRwKOHGS1u/uQb3fxJfwemw8hy +ma2NgZGTYWHMBeuFJYyGUdxmJsMmDdSDamc2E55HSkYYcrQcUfeRc2lqBo82 +O0D8WKdw8LTC4HkSZRyR0NRkBEm+/Tc+3AvGos4Iov+Xbst26uYyeAQtFYwg +qWOSahsd6JI6oRVenvxmsdpYEsEXvh3KN1xeXOexRHek2HAmrxaLxtKb0rE0 +xGMpZzcUVp1s7cfce9mxJGpuiL3Dp7ei6dW5P96GMuIL9+wnM8tDH6BhUZYy ++ZaBKZPfY1Im83dC//aUyeTHpQcWQhIWDWF9JFtxedCCCIgf5pg+miS+uhmX +22TpHcpsY3kpeWdQHuFAOJNRX5KDF0qlTUeXfuTcGOOiZNvxaUBIZbtw/LTN ++KEHnCP/24EMIe3rrEWTntcvUz+UOhEOHkXzPIpIal4gCA6jaEStPnCNU6NI +WwzOVRlFj65IjEYcgLBoTZ67PIrSPeASWzAUjKK37eP2YYRH0YX3z2SNk0x5 +i2+KTf/8jWYUGRV6GEVNJIrPz8/3b7zxRsP591Tk/C03FCRSYgg+8N6DmP+K +kYmlC4tYsqwlfzda4JKlDo9k3cP6R3/Ib9x+jB0no37oGO9P5PDXCijcCU47 +ok8UchuOHuAoc31N0ciow20pPydUTZ6F2WxMc3Dwb2j8w4VuTZnjKMGJHgda +xVkoHv7UBro0xGpT2itIPyfjgE/5eKUjJ4usYyXie8xZPDxh3XS1oSBmTEQ1 +vlQa9tHmU6dN20yFATDOA+Dsnbnk4mu6JMcDwFzF8QD49XTViZfV/OmxKYic +w475rEP04YrtUlra1RrkyYjevKOFQuVkykkShGVE3dG9C3p09cxX0jWoDDYd +s4h15d4/EL1G2Lsnu2yZeAku/Bl3bw/Ub2rgxF1TCzY94CYUcNHNJq+Ax25o +ogQ43eIzUXI3JSbZYrs+xdTh69+9g1emnSdaGCevJgruq3Ba+VlyYsSN1iQj +ePdP50KB+061ztz8WgSN7p0/3diFHXMBJMrbL6Hp/1RGw5JsF2pTkcI5RyQF +0cFkJl6Q5jQx1SaJCq/oFKN0ImIq+Dmd9AKAPcc4YiO8N5A9SQoRPxJ6JRQy +gdwnW0FF/Nl1yPEmKlI4qigsMSwGhdNMnM6V1Io76ewR60TxznYorOGSaIYR +vEnkeudT+XqYDEP5d7Rg9lP0Ad2laeZPWzXxdY+pDHsduZY/o33nT4dTmPT/ +yHUPrdy0CaBXOK8eOhKX6UjgrKOigrJqwtGEagJZihAJjJlxJwipOKFuM2Mx +QWno6+G9C8lzKYFyA0gmnbT4agJjrsyT0vc4MCQVBE5XJLDjEOho4+EvO+ss +sqJu0RlvwxkCPctsNK5JRonuadx3ZAgdRaAc71wC55jAW187lO388WpfRttn +CeywDP5sugttENSx80cIjGp3vFIEakOdlMAZR2S1oQmMhiYqdtVTwGvvCgiX +NxyfirXw3tMOgR1NoMg7tWOAEKgjw1sDCGQZ6Ah92mwRgWJ4V4U7nKPmnbVW +uNNNPe0K3OE+by5u8pbAFJdQZfJ7+cvLUVTQroAerNoXGD3Ht8n4cjJL5lDE +6N3JmDn7P2MWJuh949Np3yOcdw4cz52ZiN60I86CSH5cSUiBlELP08Lr4C80 +aaw7dgSrsvz66D3df3KJr6TybgIeenW1MSxTIGOZni9lr/EK2FtyGig8eWij +KnvzxJ6Y+yfQhRPfp9fi0quADGQNoA8YLzF9jruTWWaZPuPcbukzCnmmz7iG +CX10DsbP+YXtGmow+45pz2ykb8oRaqEVbUzlFko061HmQkiL4/VdKjrT1hz6 +VsrpOyv0iZWANpgL9I1EU1YdEi2/UpXhC+CWSoEbbI6NZXjF2c2Jkk95CJcx +1o6IiZc/nQ3wE51bYcRGNHY5tPDNAlr4FitMVqf9785kyDJ9FupiJ/qGvdqQ +JZu629ShAr5h0ugjZFGVAXP6p3ctWVpTkidL66oMWVp0KmTpsIBcU9kJGshO +equO08VyRbIkOYc2b7YntoPbFKJNJ8spUTLax1YKnVECTLSBo+/rmFvj0mU1 +szGjCeiAJyna7cvlf3aSGooEDWWqvmnb11D/kffyd/je04aa5HPDkrnK2Fz7 +7EI2p9eUedV1yGUfG5G7o1osR9eacgwTbF7+h0A63bCjVXFP9WDDtfoygooY +m0lHioS+7FFHORqwaUaffyqdJu/IjUjsDjtBJ9hJb8VxAlgK7z2PvornilfE +EadBQosyad45c+sNxr9QRJlAZ91BZ0+hk52HCEWNzobTpy8xcTpOTn4AudsI +cAk+w05tc1utcTzppN8l4IPPAELrjNDTH8o15XhXyjStnMsg9E56gsidPym2 +4pBpmNyj0QGSDpL0CuDsOg3U8xGcCcfQBMYSI0rHKQmGR84FG8LITzl3u7Dh +WXbQWayIjniREA74zSdI7PJ0VJbazOWLgE/XwWebBenK0Dw389A3TlAI4SHi +Yam7tAIhLW/9Sv5N6EvD2kcSsL5Y/4KlMae2p0Vc3gJG/V3Je0Cpxyide3fO +sema3goxJWbLpFHK6Nj/Q3gveoVdPrscoYq9g5dgOHepu+NEPSzkoNLOJIBq +2Ik0PHLuyxA4fshQqf6uGozFlhxbiIWKUEkEF931YzP28CqLAotVsiwKlE07 +fRgRJLIwbjqM9fi9ItN89iuvicZDByjhOLmVOROyN93AfbnYOumunWZkT0IY +olg3ebVesC/Xy2BdfZ1U0rCf32IY73lrzrCpL9ApGI2juYXxjNapM4yxUkBx +0AIjfJluD68gQtwWW+lUvF5bjDCOO/YkMBXrMHixM0fBqK/OmvTegdMJBg/F +RcfRbr4ijOJwo7ttugrGEoWqXLPp+hYuPnYcGNfVepnrSPyRaJ7fcljE8XI3 +c0Ykf+i1AhajIZ6cEWu2m6ceWZxymqNXKrDYiqUsULnDBN75o6lRE+/pjSEJ +nxaNqZ0lkO51o0ScgTVtPbI5i8LWS2iJuNTdcvqplyKBY45UAI6dQ+peArOo +Sg7WV2cgcN9pJJvXBDJ9aS9iMYFxYz/haKS1Pq1I5zns4NfUPTTaUWlFPEYK +shvYRL/Dna4KP3pkLygIvuUB8NEmT4zCtEvivG630T3TixW4k2Z+FLNuPwB2 +uwzfbW/oXMjA593Rmn5Ghu83wofoFiMeGnj6My5hAl9sYMzCpyXYyxG+UadQ +D5PhdkbnRZLJY3V5Jv3XLXreY/hiKuwJrKtPeguOfQRHWV9NwCuFTwIJc5nR +A8SRY4xbjLwMF7+emddiBr2C/AYJOPeKovHbnV0LHocDEgxH+evo+4hnPqpT +804j9VwF7iTGCzW0O/YMd2+6aehshjtzQSvlTi4A4NVNhjsjRmbu4AqGvpiL +KXfJSTT86i+hB+YS+X5ZD+v79xzudJUezugt/9LiGTNDPoPL6md6uxkXE3oF +F35pEaGZkEQi0bYkcHdAn1jEnTh8aUnhQgF3OsBhMhb2jxzU5pSkne5JPNQS +DMWGjs4FjFtsodKozVZAbSw1vwlHThTCzi/bZpGgqAqXHdOKN7JcKuStwYAh +ffM3dg10B2s5XyZzyGDoqN7+vA+dEeoG6JqpHdjFLj1OMXeyq3v5H1AfT7nT +dk0pdyNOXR5JD01mjG47+NYjcqcv1bAo7zB3cXL8+80aGi7mHHeJqfQWrXS+ +m3b0R7PMXYkGL34dLYgccF7zCJxWBJaEh0zEzoqCGU8blExVwBCedFAZYVc2 +qbssIj9R+ZHCZ4r5DB8Ox6IIf/mRULt64vc3a3vp1e0dGfjuEZmqgs/EQFj4 +RNmK216e8dL2i4uovV/sHjJ+JAWXuhQaBXuOedNKxG/YKcob/PTdieBH86ME +Qhj8dMkAWXOzyjQAVatne7XJ4sq8wW/W0YFMVJO/QSXXcCrupxwMJxSGWeWQ +wnAydiRUwLAoOphOFQbDIUdRPaa7E8L18WZODFIEJOxP2gzf1U9xgfaPe3E2 +5LYF7ePkXQoTbff4QBqRKAOZmoZlgYzbvLPwBr7U7ToGT6sRyI5To8eNTCNz +78LWATFkQm6LcUzedprNEMbJe71Q8GIXiwmnqhCcwxoCowFSy0IGCZM0kO2K +QI6WAKkSSgCknBq0DFmA1K46IwVA6kxXSOiGGchUApeR+Ouu/+EKQGIW7TB8 +J/fzoejj6xHIyx+ezWr/Tc/Mzc6syUD+ZspvLNp/R3jvTE0Cr59GKfdi98Dp +UkP23AYDqQy06VDJQA45lftDDSTKHn9sRSP6FhqXiFsMJPVI4h/g0Z0aYop5 +E2i8PMfTjWEWyAf6T65EIOcYSJoBpVTfGQAk65TAckeJ4nFLVgBkpxqQU1or +7ynldIzJUAUgETIsavlIeFYtr2v2bXUvnQUyNFtuksIETEbV/Ae5SPuXK5FJ +xyjKu6s2fu6WSbNlZCZvESavfhnZPimTcKj7QHg1rpnUVtrrkcm2U89HGmyd ++YsSOcWkzlRBtWTTaeZAbDtvEKNPBL3ixOLr/WfTw4rHpNh0xlTVCsolzeSo +YlIaNTwmW6+AyfESJqOTmdw7D2ASG0yJb41ivPP4S55f3nS0JY1XwKQI2Ul8 +h5GijjFOELF3ZW3ubCyTb2ImoewcCu9NiTCZ/ncc3usJp09/kkwtEk73mdPo +A3SpG+bOdcdqeyNy2nLUAZKiTY2utONMdp5xHddX26gE9zINF+RPu07vTSrL +BbEGHU0RPS3nGg/RBUZUziypwmmguA4z7rhCVNwVPER1GGeR40KCKI5Bk4WI +jurraDwG4unp2+Gtvc3bSGXYPgjL2qRWt0fbY8WlziYuucg2vXuGy6Zc91zn +dbyO7iR8RZ8fyT8m3jO4HjHCguvZ983RCnCxu8e4RjXUJSwml7prTnE5j6tW +JRzze55CSke5QO/SdZo0Nui9CcfjYKQiros8h3J3nCvCU4iGXYHYuGt3nFNc +RxZGqfWigMtg7y6qd605PuDGHnrNkVIeiNNZkTsZa6ci906c4Uy9KMVuSmva +qVsUa0Hyakcdbd70momn1WxoTKVudkj8XwI2/yN86DKjhWN3HYeZNl1EUs1P +HvdwtTkkEzSos6N/zzumccppadJ0OxDuv1czSS30Ks1laToyBiFNn66zSlB6 +Na5Ji5vPk14gbVw1MosLwPArIi1Mgog2VOZhSnSHJX7GAexQtSXT2YG+1gVr +zhEV7/HiS3WTLFScMxzCKUS4Tjll4SCyWdtRe0GezOLY0JMZ7hNnGaFYyEte +beK5DaxoypTZ8PTp0+eGh4eZsDPOXbWxc7eEGTkn7wGDldmZSSCEyWqXEYpK +qUu4QrvUXXEstns5hLRoQdZWfR7OyTn/ZqsGvfsGI6RTPIHVmEIIG0ZJ7KyA +kGz/xEyWBJjyi6DfKKvswho8xwxpN9m9gtZ2WYyTg3e4ul5wGNpWDNFEpBmi +3yhJnsDQgtP8sDlgn8aalmktOI81ueTVBp6HI0I5X9Hf3+wfbrTuUTOWdw1t +Mj0tT0bEyTwFcfobR8HTED3vOO05qAcvO1XfzchTg9lBhYJ1B8KTvpz2RJzo +IVt3miOwf+N9mUlSH6rI06wSULH2zl7O8V7trT96HNhbdJjaVtZXRe49Km9s +RmvPNV49vkrx8OIpChs0+p7JDzqVk5zro+oG78UG7L/QJ8Hyl7AXE7k5eZJI +fS0oPjt0hoU8VKcUCHsvP7IsnkBL0/WsJ5AJylNXLnf6KBphKKOYGm1dhNLl +Ynfb6dMxKGq/7a2IYt0RIAiK+qJaUNQlEjTVrinfHNgdn2B4n/RGnD7tdkUU +p0tkV1lf2VpoKMOlypOcvSMhAFGU/MQyy66KjTxIRSX32DoRb1KrjDWi6yUz +oKyiTf66eA/5+HK4jDbadbE3TP6/tqqmRr06ZliVcBStkBnTOnZdnVvKIJtL +XUmQTT7W4i+t5dOPjRM8I2uushnZd9EThKgMahqYfRGahIvdrUxXzwsXUOq6 +1F1yWhq3I6g1TJpSjuMdXBOdZ3x3TY9TTikFtgOrjGm8jD6B7vCkxxs2ONhK +T3erIqaTJZg6gqx4iJUvlRQB7Z6xXuKUIVW/toMpTsrrTmfFSgVMh0K1OBla +YzlZ/Lf+Jx+zH1olkAyceT9vwClfqmU0iCNYY8K4codX8wwnVfQIzlwyaYAz +Y19zi1raL79VecgznMZXXsOZkba+hncCNbGCymJKVhj4N/7SNm2GUky1M7jB +VMsaZCqlG23MylfQwXmld+hIW2EPs+K0/6DE0sl03gbD5mqgjmeUgwWgSpeQ +jnjEl244oK4MsHQhKIcdUEe0bFqDulgB1JEI6nDcW4oAX3cAzVcDVTIytAlB +R2vyX/jz1VjVm60Gqtx1s5xf5zVfF+oUqOauxoJqZK8MavRZuvbkGv1rXOxu +Ot1E8/TeomMobkDNbDUB6oUH9uI1N2bcA0f2Ch8wFJ3howwlDu8yydM11G4u +kc1eNTxHK8gKRZ1N86z0GY1oibW2XolBjeWuF2MOnh2tsNZ4zvJtDDUaxe/5 +hhuziMoFuDYwSrvVROCve41mqrEqYRtas9PSov9vf3w9FvymSlilWZlZ9cxc +eMXv6AY3z/f+NYZVI5BlVm8WVp9/eKWGU1Mv08JES/wCvbfgOIrvRPP7/F70 +ijkW/RX67FNWtUAWrIohqm5CAbVtp5mcE0+vDSq/DGd0YR61omPU3XGYZSUN +wct5HEDtpEMtdgQ7DrVT1aiVEL84EbqtAbrFabKE2pATk14u1qzYx3QHJDNr +mHD+fJW9hcqpTT5vyvF/8W7DmVpzV8nUvjudkC/bLazKJb93oTamqdX9U6B2 +3unXRE9Vm6lVu9NI7dXz7If4l2RjnLy37yhr5+h50fEmgtq2xYcp1QlM78g8 +23ZgHRognk0Nr2xDXksrt3UI2pSCtai5XA74GVhxypJkBG2oMVEN1lnGUymD +4mZAeNOhkWOMarKDLUQ12TTM4tOafIUOVyzdREDwYWF7ZJld4AKo9D6BKrdm +uL1N/pTkT5Pbzzt/dDRrFGOuMj2jIguqSHGxe2BQTWT5OIHaZVDpalN6sgyo +2nYbXaMtBvWRj/Cq/Y8pqMkWIJ6hUAXfU1Jcmo+jd+6CasfCLeYJlG0nvSYf +p06+yEXJJ7fjZoApvQdJBcYhplzyKNeeOmvLpBTouuB4BUqvPrg+z/0FilJ6 +RwrXukF0tBqjcmVKNIiUAnYcs06L3zADmkDon88DoKISp0/Dj/PBXtQ+6mrh +UDU65WLVMZExJILO+l3xTC9MiuwC6iFe8lPzouQcNaaZ1K1Zi/Q856QuQbHb +BJNNpbigduXuKaeOA8HQrjJWEKUuokbmGUu6IZXGLNy9S9oN97u/9H88unMz +WUCHv8M70V1izAKtCjJ30vnUxlLf9g5yOFKOx5FqPC5lZ83k6HPowNgZACNV +DpOvlXjBWPHO9h1Qz4H0/LWrwbiUvWe9fyPCSFelUkRslsBI16oEbgLjcmor +k82T9m7ujWOtnSqNhpexDFnmP4xJMkyVG4xlFP0kr5boedaJZsIhv8FT5clf +plf6dQ2mrg4BzB1Hw4u4pjmnZeYwHKdMT/Rtv/hfX8Xz5Ojdap4cJIGsrfYz +3YOfS3HUK/GQwlG65R0cV3h6pIVW9Vp5RLYUkaTSzX3HBL+rn1kHkQ1H2mPa +E9K+Bd40DsZyOXQA5iWQgc0xXYnEYwCX4u/Qf2yp31vEdaac5uke6fbMtZNp +2LdcGikvc3mOuLz1FpzjafdzkUQ+uVauZXqeyXSyvvxNMHMZN/gQ//4V3+9/ +fgcn9+6hU2WC5HfbMX5AcN2saqnBbVXyKtzoYyF/6eWLm2/6zAf2KRIzHIiG +sXqX6R9j12Ddwc9Dsukg6Xh/rOpOBd3/J1BKQz5BWa8GJW5KxcNeC3omYtsC +uhjCej2IxNCw2nSOOXtcvSQM6QtIFUn4xR8pxa+GG1PgV3NDqI0sUl0pxWsm +hvC30nnzWubAk7oeXYR05yJJd3J9XSv0PO0Y/57i9ImEuGRt7snajDcOVHUJ +O8YrUEhc6W054l3Eb85kumvIj4stJF5KEKRlGj916GJAOus97/n5wyLt7Tqh +12TMEmzCCLmvy+iNoRqE5evPYAdRCbu2039/yPVK5dNWhtqqbkgIFoABNUhw +13iu4zJ4EWGruv9AH0/kyEJzG8GVbAxT+ZKCC7ecTYbr2oM5Bxtzsc7dB8bR ++jsMXEaHy3CRS1dsVsC2cNVp3sJ7U461r9j9Elzc1IVDc3ff6V1Ff9emI8E1 +ZOnGmUMh6yQlK8xsreuvy0sSa8BJPM+15ccR670EMVqICxAK2dEdh6EDNU2J +fttodxU7I47eazhtZumgnl0yO+HThpmTeK8T1TnNyA5PTIIPIUmqC/okPA8x +PpfvzbnXmOtuxse0Plt8jGSW8aGvDQZIF6HUudhdcZqvDD7ak1fjE5bBAxxl +u3tZAVgWHy2PRbb5tNPmshwOE9QBGDKYSN7NDy+j8KXkfXXQwOJJpRdCC0G/ +Ui+hnmTMo3+wFTOfxaFBy3y0XQiwGnWw2uXrkszqJ9+DrvtI5kqftKq7ALTo +C2kUKxm0sgUQOn/e+/Y9zF6jjNb9v7oL86xUtTMCtGg9zK559LnEFluiAq9h +xuvcu1JHm5IbaqMas3iJ8hX7L8YrTSz/8qrFS1qpyPUPy+FkpjpNM5GkmcGH +EstbN8xOghfNTDhdXIFk+kqv58hZZ9nIgSosVA7kB4rYtaC44Miv2sDMy+Rj +dNqlG0P6IRG3aoJXJbnPSznDxflMwOLOn/wRDlCOi629qlnT8mzMQneHO+3d +EkcRqTsmXK/rbgGN6xavpGWbNbmITD5/VTcJvHjOnEQE2dFCZHk2xH6Og6fD +vk0qI1oPu6qOssIvfVGGXzl9SO2Qrmmgyhhllu/7xTTNmlk2DdGeOxOzfFe6 +MMdtXBB4q2j0T6KmdLG77HRhrWuWeUo0melhQT0Cy5gqd5llWlChmbwCBTY3 +wDT+ldmVnAQpGV7JdCvxXpmAPpAKlpGaVxQ69l9U6NgifX42mY++BZL8VDJf +GvzKY4NSWkNWrKQW3/tbpxpufGXySEZeHYX7MCBpZeAHT/60RjRe+n+/vnXm +/zq/rTYXdiThsC5FnSgwSl5t4XnUHUnKHCWuFhTmtao7HPIGUQPPQHXnSLWk +Gx3+5SHe4P5JD2dybucuXhV4iIlgKT1XsbWK9DtoifAy32NSSZNGoB5ldLmU +jLKaqJWk7EkXUDjSj/Mwu+vNY1nXH+/W3Zhj22EmomL0+PAwix0Q5z44T1N3 +OsywP70ntO9gmE04NsVH2ZLRFUhJeeHo4XZTHlSDr3N1k6pGkmWXDKoQcRe6 +0qhkTxFeBcGXMcTvqDjEjzbK9OPnQvx4AJXmL/3n+Gjw4KJvR78SGmTJUJU/ +hf7O8odnY8qSRYsfpSOtFUaayv2kMprMNhQ1JluwZDtWx84stIiQuT1t4CSp +jHZrwPizu7Xd9BRwmz0F2LvgZS3GFzNJetWtZiXTUDs5XjFDvNiMM17Xqo3X +ljNeF9KGkGYcryTjSt5ZKhmtKLEmo/WFv1gVBZeqhQVDmhmlxqbRTa8WMqNV +J/nRaKXrt07mHoSOn/i6SR6tt72+k00zz1chwgVb9Oiyo1Uk22fU+SH16LrY +DaN1yWmvw2XwuGPrXC9J1mxQoGZBnmaFUMCQfvazufQzHmZI+iuMnS3OZpZk +wJZJBqRvTl9WD2m3yL0Ncbh0MSiTBX5cmkOCDIg3mLWyOE0s/+KrrmXqG/Te +eKalkHwEdgqP3I1z3/XaV0f7xCXdtRA7XJ9YDuccbvUrGmzJQBxytqbzuiFG +D7blaoOt4ww2fLs5Xhy//Qn+wCfWie4qI03Ua9qMHzVCyXjQnmKzPNLolEQj +yxtpo86FEL5uhkeaYwx1lyh31EgzTdh2pBlFOo80GJJJs80cPS9wdg6JfVSI +mAwek6jJD5OoWR4dWEPamcqMdUMEJVuTRgn+8W8uy9ZE3iCt1vIdku/WsAmC +PIrpJ6E/Kvm6ehxJB9mRtIeRlK7QTSdYU6JaxPOAXsGyec1R3Hf1qALZ/3M/ +lTKT0i4/qu6gqo14Ay3ovg3oJ345lM2XqxkEjTijCiviojOqFgaMKnjCf2Z9 +1BlV02nnUIivUBL52WoDS6R2uu/INBTppo6pCgNrwrktQ9vkHA+s01s58ytj +aspXYObeIrxX+216gm4+DKcmWQb2f/h7x/vf/uJ2/+QvaKF5iIbHx2l43Ius +5g/txzC/B957UJex8j+SMfLr8SHQ0uDDeEkeyb6zkUmfHRCz6cUPtrLxg/R9 +kxUmZhA2dQYhjWFZc2iE0OfT7vELf7Qv4dN0ISxraLKeYmnlRdYN3BQhdhRZ +yYINfeum49sAB/1Vp0UA1zJjTpPeZuFq1bxdirHcfTKnG0+0T+qCGlqEfMHQ +GndOgBBZLTtDS4tRyZLcG1rJ50uim6QqJKMtOH0s6FYprfCfqja4Jp0uK9Mx +pdtPxksGl6TTSv8x3aHQ+/QKJ8MFHlxOtrqpfYlHdTLYLnuDK6P759McnOV6 +PexJayMlC0ODIzff+uOGd+DOw8vs7ELO7G8fYh1L/u50MJScWXrQOKRhRXGz +IX2zmU3fBPZ1JFIHxSyHz4W2rhGnvV4Ol7oRuhFHRC/jEEEHS2TlrDi9CLgH +H1VthlAmpiMiHpQwFsK4OKMcnERkGFq5pNEl2nI+sRzVrlVcRTLDYkK3ZOlh +MeUMi1wJ5uyaNNtrU8XxOCykK0s5NwSrr8HDQvxjdUMX1iGREcTzFC7CBw8L +2QSSEgIdbjKcFnlYvHQuZzH2vFO1u1UuvvPDwnQZhGHRhOfd4XZYfa4+Rig+ +mezZXvx6D/u7eaftdVNDGZsQFZS6tboZoew6qlhkhy07fQeoGo84DYfsXXJG +5NoplO1b1QkeD47Agb0dDu5oJ5muRuOsOpDI6R82OhsOjePVaJxzaByJNIq1 +sO5uGVFnBqYxloSIEqaxNu9M8KYPS1wU6Yq6o3CUWZg+FjOYPgj10leCBmKM +/muZIXz+/lykuGlrEeM6faFtIZQTxd0phA3ycow9WYv0POf0uKJPa9ixeRfu +dAs2uCMBQncjI3JNtgm1Wc0dbKK4hwDcDTsdhN1C7hp6MoyhXrRlxtZRml6k +eUX71I1XQ3HBORubSAqN4kg1FBcdFDsRxZEMiuTyMFSCotKa1pYcjIH2RsY/ +8Vsf6fLVbjmKK87xGAivMZTn3zMdE7p5wzDlVAwf0CouhvJ3woeu6e6AYMmd +9l+R190SQTnr9LOiGbvjAChQakPuVpwMBcqX/5HnvI/s1xAmu+S0CEDF1XG6 +BTcqQtngZwlRefkrK6E3RXICYqIDOvorGSwtO1CiN2Xb0QoOVYNyJQMldR+0 +I5RyzJOkpqDhT6GkubAISjH+lG4sAtrkqOiWqnoBlNGA8fc3a9I2iFLir+6y +0UnyvMFQPvD2yWyjldmxMpQmicBCaToBGMpbaqqMvUxQzmS6V5PtZA1mFUMO +gAKldutu56DU8lZAuei0A0DyOhQ7A6uiKNnEOu2irTtPtP/XkGrkL/JUkmgo +fcUBGdiuw2GzGofSXK3NZxuRw0luNSGzJe6RwkMx6InwN5zWKpzLtlkkKBfm +ybxYiJ3gGrNkRXfdZexe/tJy/5dvnbqmFmivFGb87Cx2RuzP2PUEOwprXyHs +pp1eVHjutB3ERD2hzbpT7Nb7+WwWxLsvKLm/uIShBaDtNPmtVQRQWvQl7OLq +Z9fD/CjqG+291KwAYI8/UwGYdpSMafygqh6AXo8lPAq9CN40t5AQQbRAlsDG +vjtN3R2VtjiFqY3WUq41GMa2nC1jI53a2mDswh+mqp4bb7zx8sTEBONmrHYY +N2OpaHEzIn7GLQ1m/+1Zi5tuJ93TuGm0ZJbTooehiNua44OyQM/zjogfjVBS +SdTdeasVcWvzrKfiLeidIz5PKEMdPMSyJBekk4AmjaS63zg8D0fKaCEvIKu2 +nZ3VzoVzA3OVLqLJH+AuouIHhoYmvrnZUpu6rEcY/RDi/bDDU5Vs/kiwn7yz +DqSGc0jJ6fiBd+72X/+qsXNxOkN3kmdDd7Ohykjw+ZSBjiXxmTNU0clWjGJB +VcuxdxeqdI2/E6ladVSqhiotwUcfaNNppVupSJVEDEuIAOEh6efUgEz/8gWe +TLtMEc1FTFK0bZW5SQsPNUGiL0yY0RTNpBB13FWQ/p9+hAQiyQSmhgzuReJF +bVgzlB6D2GeJ1YWx8UgaPkgfsgqIOoDoG39UqDas8xLp5FkbZch/KFw2a+8J +HzLaep6zYEF3x5vR2kE/0cXuFNNFwEiPpqFLe7UbURbXpIcjXSv9NEeF6mD0 +apGe5xx1/UFQa+U74pZfCV3SxaHrP9qKMGusRDMPyZL2dLuGnqp2SvZeUS34 +ga093S8ksa4vf3kl9AuFS+sRlzKQGvTusE1Ivim60BvqZg0nbxE00yHnUwXe +S9baS7e5yUxGfUI0ZWEQPLwSbkiCNIL+JEcuSHuPx9gpLJtp7d1w3yGF1zyB +RoDPBBrTujV6nnQ6MqFaajrm7Dm90mVcJjCBy47OdYmeZx0VPo6tdaf1bemV +bNIkiQ5G7HwfLKGv1EeUJVDs2V780io+rRUdZILQdBTokV1CFj0Iq8+umaPC +jm4RIt19OHJyi9BkyWynOJS6i+66hMSmFa/XVjIkegaHCYmigaO3BOIt3TH0 +0Lv4WPEYZDqPyS6vRKbzWIEFGK2pB/b2zotXERbp+BrV/Myi6TRap+cJpw0T +K27DMWUXFnUX+2hkcUnpVIHcFcxtV3ozzCJNeiLpF58wkoVxt1tlDHEu6DgX +Hdu8fStyRJIeI90QvB2bQcBkV625zGRe7H92rdZwjrE4SXQcNkdfAZttp/US +CbTiv6VtOBcyvnL0sVjZZEekhNJOxBq7PpnvYqnvMQhbHhtUfx/hr7v6ifls +o5J32+x0xgmbUoHHPpDZNEZ1G/Q8rsxi4bd+CW1el7p1x4hd2NTd7GORzUVm +8/7fYQSvYFd3pTft9AOI1aJugVsorLo5F80i0ohmLkqiKN4y9L7j2CWtcoQq +NlIPrtdwRy1ZE9rIcLUirG0H1q5uYtKwoolpohqsop2K059E1ooHV147NdAE +cdT50g3d6ERvnvmhG/BqqgRbmmIJW5EjP/3B1A9M3Udfd+5gDjJT6u+GDxnV +/43hPRjXSYMUwtHGnOZNCUxLeMTJhWQdcv2i5RPjkdiFfj4bCKeZKccmW4gl +xSBuaL++VZuvOJuK7IFKw6KYWMvAWmCEJBI/6eGk9uEN3VaiYV2qCOuwA+ua +7jGhTk2Btf0KYB2L/cNokBpjznBBlKCSqpAGOsyJECnnSosZEn/EhALTq6BQ +bXmquLXKu5M2c6wF0+jkGUyqSEejOgOmbvw8UhW9m1ix4KkYxmPhbp7BfOJj +4liD38+V3mQGQupLyRko/+9bNTZfuJ2+TQbMtFYsIgOaXIJ0zqjkiuw7GEyZ +gHXD8ZpuzIiVlcchSo0nINmGyi89JjCfXRtzuERlZJK5lPs/0cwtj1fjcjJy +icYngYumMilhlPlyKS5Fw6O1P+jkGGPSaNrEnPrYEq/mxeWU5BDFuwKbIM6E +mhA/XvFp2oz2dK81hBptOBMa4+zJnq5HhI46vaVH2fKeKi1rScNEJHTOUZ7h +NnvC0UnnfJUf3amxDcMdzmJ/q1wJEmDSM6TrdAsDCGVHD5l1pXWIepiXdStC +jKh9fDnYuBcQSmF6dB5/4QurkxlCKeYbs+60Q2g9rd0NJFRUNbg3SNCgV1BX +a+DQUxRVNQM95ERYo0smUDdMMHNxcgWlKat09/jj35/JXnv/Zk10ak7WuLn7 +VvdI0ZTOsipaCHwJs2pM6TaJ1RHm8upXuFv+C9uRVRKSZSvOugo9GVkV9bFO +DULBbzzL5Zd3mNWmVk6qzuiBuIqSS07oWgQ2ANepDK50s7moxfwa18lquM46 +bolGzJ/iKnGQgVSSMJjLxJRUEdxoP1m0zYgTHP4w1n/JiUqRWtNt9kxqbUF9 +nlRe8J4s4JhvEyzpVbMCqiLbue31HWv8pa/Rb9fNNwzo7+GTaGPAWBoLui3C +ctjpOT3KVgVVZ76uQ0/F3adgqdOBoBQbc8S7MoVSCyq+/Wd3a+hNnSwG8wwq +XwzmNNOF8KdbblSwDgRTGlT0feis1sNLvEoo+1UCc8EB0yRpaDA71cAU+Y0O +GJ/RXSYarpaaQkv848SySyt3TKMJ3byDgffDguexeKH1rh3DJS603r9Jn78q +SN/QztqAebfxd+vUBA1pRu3LuKJHRdzpDK66d/OUU1X0JBLTEdeZjDUdicmg +th11lLVHmfeoKaqh+jo8XG/rP7EScZUOxCgmU5qxMvuaBFfp/NBi2mmtMadG +J8F1uBquyw6uUxHXuqoOwgdCXIsHMyvqHG14PKUbOLQ5d72EWVrKmVkRPmph +j+rhGIkwE4+P/N4WtqwOp6LncfLOHe2OjUqwnN6m5bfMqbGr26bnjupaFAva +I6dOKZzqwnfK6bSjL0OfxIgjtpWgQH4tF6ZRFf7OwgMUcypaWW3MPVKB0+TU +tOLIbHEeW2PYVE4fXy8N5HTN4TQv+tac1qtxKhIenJh+LVgc4+y1zBtSNUGW +Wc11My2ytPajBWJeVTJpTacPmuNXYHKz2CXMXCoxk8bcyTJp1LjMJDol3vS6 +4TyT0bM7MtnU3bX0OOVoL2ZyWMZEhSs9i6XW4sr0qT2+m0qfe49z4WSwlCVb +38J7PogOlusKS9rF9mEhptTfOuG0wVjScSiLJdp+EiyTj3UdLEcjlkNc2RQs +i1Ckj1/99Jpkomq3bWxdV9QyT1PhTWgGvinnCCbCDd08Oq573IhBmhdps9rg +b0CvX3x4BZ+xxZ93/c8Xsn0J3iW9eY8hfG/4kFHfnuZFnSA8vYcsN6rFXSQ9 +Yy4UUCZGHUlZp+dDR6wxGzGcUoozuqinV1v0POyobwVDEM3vtaL4sQKG88xS +3vuwoQ0/zB2lOIj1HHUjpN+bjI/iMPKX65MO/NW8rINU8z2s5kA6P4hoIwPe +jgJP3D2G0zmw0E6MTthUmU9L6I1UQSmn+TklB2L27JE+mf94XqztWjuym9Uk +SLPa9cwkSDeW8Ur9dYa/s1poy/xRB1p0s9ul5zazFmuSij/NZIOeDxw5x1zk +b5L5g3v3O4IEbZueO47Q9kgxKe+1lSxtIH8LrNpQd5T4WBF7YjOW05uJIlfI +Eee6At52HdxSNXfZcYb+n3Hb7+ftKdp6yc3gZpZanv/oxtJzz0a1clYtuYSX +OQIlRxfC8IXPr4p4iOjD1z8GjHX/wZIi0GlORJ08GuJZAkXOgd0kE0gzJeo9 +1H+wRwS2lGOsNGMdOVQ26XnfkXPMRwInHLnaDj0POZpbIZAcxOS9ISUyGrg/ +XOR5Sy51iCbP4oioEx24biBsZvsKeJaL2OpZ7sDBrplZZodLl1d6j3Rphw57 +aDhYUkcQj72MPZheYj3j7HZ6lPY5xLEmOUr/y2dXpaQOt7IET82h4zbmdANa +sxXLoYhx6XZIODTOefvEYVPVHaU560ixKW7G4HXPkXIsRA7HlbBNkrRgQ9Z2 +xLjCYYT2GfSy0XvUth0LkK3CSdA37lEOWyIC16UgKOG2lNDWW2MlmTc5mtC1 +AphTBGb4Kz5p8LQnh2ktHJKpUPuHQGC0qHAscatrOauu4Ki7TtFPMK1wFGGu +Ockk82CCo6iI6HACSy+F411vHruawdEo2oAjLiK/00BotLsMobG8OyAIG04z +1pECUwriWLZ3Hc3GYoRwrJ8PZIWvY8vR7h45YDKEZ/qXc/Pgm/DLNweSYvco +bOZ/c/eYIdRF7U2+VyT/Tlp3C9ZcsKZ6B05lJ8Pzy0Hz3a7GYauEwxhO8SFu +Fx2MYMdZhfeiZqheBF5WEZ6AJw6LUaSkwDvzn4azBlPm+pDnQXPNyPPg+8KH +jMA3uGOmdnBn3zdHS8PFbj1bhPnKVkRQl74NgizKwKuliOCoI2mD8XFTCXyh +jlMI6kBqXre9pfjm/lcWr9srxdFB7i9Alg+/NeFRl142eA9IPLrfJ/Aoqai6 +k0p820lFHpbW7RCYMui2kJmUPmnO7zVM0glDbqjnufZSZFZGilxtXistDTIn +Rl3QYzCoqCIx90qKQuWbbho6l6HSu+g2uQKWSiP65YnR2J4daCp1Z5ZQqcvd +OE/vOAqM5UjlCFNJXVkiZsOlTcMR/R45pPIq/oBzRDndf3I1Uik1mAFUyqlZ +y90OtN6cajBoHoyatYGEDjmN0Ptag64926eymJJzRAGmo46+ck/2kF9Z0p0w +MwNI1Z5E2qZWSKWNoOA2XkGHPu2UEwXT01vwhNCYGic+xtQ4fltMZRN5u8IU +3RHiGYbJM5xSdOlFINV1btw8bjsijOVY2B5W+jUJXj2MrrU11QKhINXgtipC +OqEgLerWV3Z0+gCT6tFrtvKyVA3SEQfSXS1Qz2VYNB1IIwoppBMOpLRLiGkW +unwyWWJjIphOqw2l6NR3wgof+IoN0xllUNEMLdeRUqrRrDpOQaaxlZOpjfjy +Ow2rog+GmKhOyz6qOoF5OsDjwH4QPhlOXWd+EGFXtMm/yJc9UpfJl7+TqRd1 +xy1HmrESCe44QjeJGkrQFMlwrNNooJvF8N6S/BojvGMV4H35sZUR5/yTCtdr +9t57vhq8otHU1lRbWsGu4R19BfBOO/DiXlySMnQq0FgFeOfiVnRLy9exAvz2 +dk4gVPRtRCD0wue5avlHvYgsu/ig5cK7LWdkTXgCIxvKj83LLHC7zg8gH5o2 +6EPAl4Glwnr/lps6QPWIgY1X4k4BPDk41SA32nREG6sR2KF+PpY15l87amG6 +NhfNe6MisCPVgBV5m1bGGRk7nXpw2lXyNgI268+G75kAmxzgJSJV2xT2tIpd +AwsVe6MasHMOsOTVuyTnIqob4h/0odXacAmwYhq16LRqoLjYzggzSGPZqiBh +F8GQnva3gta4/ygMgD465922X3PumM5mptzAL45iUULMZyu4UB3QeVuBSgZs +ttpog1kBas+Ra6zFDayAqkVv2fxrrR6mmRZ7iGd6tXpFUDsKVDdx3bqbaU2c +kbDHXsdHV6KwTUDNfc8Aqgjb6NOwY/pTNFulCnYN6lAq0igGldQXCaiLUSmM +Jgs5Jel6dTtjkiI00f8Lnp5zD4xT5NooOcjHGbJeImSnL6ZvKI4/dATDD/L5 +1RqcL1qM54W7Z7JWQGYq9fypLJ6iH8bulfFE64X4UwmeupFN8KS5lXqF6NWo +xhOTK6s0UjzbjvgtF3kdpcMtPbfSA2hywow55Le5VlNmWyHFcS2FM8p1fWQf +q8aj6Nm0H9WqVq5rHptVefz2J9ZXIo+QCklkB929c32n1sjw6DlJiWmP7sRI +2ymSGVemPdpoFknVxWmFCkMYr19arq2nDLb6Vz+51n/gzt3+//r63f7IyIh2 +APKu48+KWD3PotEHM4vRlur6V9cji2QBi/60i35NHA0ZXUeasR5ZbGWUbRS6 +Kix60mDVfEEcMobmwFTFPUV0alriZuTp+sgzXA1Dz0YVB60ZB8N6iuEQ3Bzp +qjMujSmCod0MDCIHY5Lrj6q4U9zh8MGeGPfoZoultGMiPQPR1+mvJUmlSC10 +8RH6ySaQGwJyWa3lLd+xfX10dFR2mfmr94yAjdF7Pz1B+cvA3SzAUfPEER/d +aQ3Gju4iGn5kH0m8SR0cTZUbjg5jI8ccLgA+EoLewsGnqedEekfaeHlafOD5 +R7ZrHnP1CsyJ5kzL1YzGXJ9U2tWYE82ZjopbSDXmo1ovgUcZar2IGpof5HpI +ytmeMdS205ED9aRclCuZeE3LecjGgD5jmz8PhUkuLGI32ABjI/0Xv7CS10n+ +FOskv7jcv+OHRij6fDTd5WUv3K/ps7nGLaPhfRXPfgIemU4JeI/cy2fkv+9p +8HTnLjrN1x0BRjeC1+yngamiQ8umTpO0lxJXe4eM3tXHt5/+gTfeuPSa17yG +S4wjGr2cK4YyXRE5mVaizWnxuN7BNaoRJ3Iy3SY2l4rHO/jzibACyrb5MBLP +DueXQhyBXOGIHUuCWyy0M274jF2n02FOr6ZlCnB6n77lHmMXM4EeQ3eOHDg6 +QAtSoJ9SorqfOBLsGrzxu/XmXLS5SY7mc7VxZP8ug6Bs/CDPZQSNEZUstt96 +iC/Rn4TY/WL30DHJNRBqDUYvQthQKjSJTBUItW4Xn3dQeBrpAML/+9MWPtrS +MXyiIdP6s5lUCj6q18lB0EUNmW79gsnyIh8yZF7TokqZ18T8R7d34RJH2mE9 +ByD6RCovJzjvOy0M6EMY5vIMaRPppqZAy+2JeERGpguJc1UBTObENgN4837O +VciUchhAIwyyABotLi++8KySPga5crz6GF+Q/8V2DQK1A8ctF94va474YjMC +WGfY4EPEMjTZ8mkPSHzevgNgA89DFM17d/IDXf+e70qrIKRWPPmzblSR6Q7Z +yVTg3YmLraTZZ4jbc+Q8E+k0N4QkluwUB/+rt+9FBY8GbiIFbqjMcqom8h0d +bCkVF92QMKUJFOViznMgENhyVlkhkF7jVPIYOnYwhSZsAUAogn4qlWAQ4PTe +C59bDZ+VfH1voZF1FfJuw80ZhAn8/XSBjnDyFEhreuxQEAJf/Ho4eF34OMUF +Je/tM4GU6ICD+YXNGvyvVh3lxVYkMMxtoqWoHatlWZwg8Rm7hbNf8+arD67i +goF9V0Q/phsIx3RDgZrh4rJGfMgMd+gAl8q0SeT/6cKdG3Z2vNPz2BtLTw7+ +ZKccf5ol+KnaYSgMdjL45fq2abJ6eEXuXSD3YWcLwU8XZqbk2znoRTHag2R0 +8Cj3IZzJkNd3LrXNrYslz0hwmTzjZyWLL+alD+1LBfFid88RYcDXb8URXGxr +8rTmTE4dtPkTY8gXvrZVmslXEs6KGg0H3qmEy0YI5XrHz97QjGGWyT7l/vec +ylBtzzQiSsMl0u/upCLwVRallS3a+KL34Nz+uJSz0RAmfV/zPI8S1uhhdA4k +YrNMH5NugwPFt3TAwjd8QvFd4mglTbFeQVtfP4+lliw+3yIMT/gejbYYsq/U +tZvxrLTopzLSojt3ieoJpvraZ9KYdKaa5tKrmUM0SSnv8Km+g7eUMCdiqo0z +llAdm70uQjV5sbvLVMf6y9mdEAay7OQuhPp4MyTmfCM8XvgaxQr/1SZub7Zh +GkixJpHcNE2SbnoQSpWm2BWQy8GOEjWXjJ1GpQzJggw7jo+UbOIzP2YTuJI/ +r4VtCf8I53/hJ191Oj17NQ6SAXBNhsgpHiLaK66dDpEhd4jgPuADWzVRj8Re +yceXa6ec99pVh8uQGi7SJybDRfflDunhQluKkuEyUjJccmUjPVw8UTu2Dp9f +FbnSW3+YlyhVW5fiJV15jjrqJ6MreQcGzjQPHPY/Oq0GjncJT7dP0bbLDhyj +Q+aBA9su6ciQgRMtNC9C6Xmxu+N0pc+mwRElAY9NDnikLQztVvjKXjKr6PY+ +zVotTnuMWastHPl0albyw9bqnC5ElxUStJWMGS//cZ6evfxVpHjH/MemyX9M +/vjGK4l+5GQvG1j311uc8ywh5S9/a5ODCc4VqGTiSDxyOudwEbyiRiJJYHI3 +c8lIFP+w2A2qRiKdD2QkNtObtfKROFJxJLbSskK5b1gyEqX6oCUuMhJ1RWIo +LcQOlPVPO2cAGYk69ni4RDFDo/DqJ3GxhGHouD3RdUi2/mDOCHYYGiU2D0Pa +0UUbsqMgOHzHW27opD56IQeSBiA/JNWNhF2SepVs1xo2BzL5HZBuW4Lu6G9F +iVv1kK1VFKv6llysqs6DLAgJf2Mce5lxdENmHKX5XgXBj/k4uwcpzu7zO7zu +/uE7T8FxssEbSQqhkdDnl/9xUxLX9VYUNev14tF25tWvfvX1R98fIsOPeXwp +RWTVsSb2Z2G47JuxBq/LXwtHb+SEz5aMNRpDlAo3XnGs1fVYE0uUAo++KR5X +OjJcxppuq2mlep2BPQtzzoFHxpouLLfLpD7/PZlf/mydriox1u75uZxvlZOB +ZE9FPNY+ED50juU8eHVDeC+23pCz2kToekiO3sTRhU26f8Tj6mPJOeXbX9xO +/hFO/mIb15PyIAFanU/pT3x0D7fn/EhjV1E+5CWJri8zg+vHaWjQ8iWDa0CU +ZPJj6N0ebsKToVfX2XqZPMlGSZRkSLtsoU9XjT1aj2tleZKUsvfwNi3seFw9 +vyXTEK38ycuwr/7cDoryTZwJm5TkyiJSMqHpynVs1DRfQbNHjJYsWg2v3/ET +R0hhvSErBo2az/LBKR5wcVx7g/M8FE0Dx+VUxXE5VuKnpYbkbBTJyXUsNRTR +J4ZXyXOzWg/HonNGk4FIa6VU1xsZZYgRLv3iPgbiCg/Eu948ljXlukeXovgq +wkQHfLcZiEZlHwZiEwZy9Xq9f9sP7tOIGJinWhQ63DKhw/SVN6E/H9+zNE9V +Aiab2YBJXkGLgyWxGZbu5bhhvoQGiUvdeUdApYZEqkpNTpW4Ce7KvZzuVYEI +mwPVLiSDYkpaofiWLt5nsE5PWkr6klh82zGHCJePCxGnaGP5U2ohoxYVGhGT +FcbFbMm4gGiPy/TD1caFeNXQMkVv66Uq+jh9RXy7BraSiBJPK/hENa28vn29 +y1sO+9/6MJWfMCZue33nQmZMGJsaHhMm8MCOCSPp5zGB8uzExATGRNgp/fop +yfGmywzZyWGdwYqTLETNkG6cLFdImuSljO6T6fHy3/fG+GRHl3yYiS8iCOFi +d8sxs1/QBPOBDa/w3GCCk+1YOB7jOiR570CZNENInbxCr8tiIcEtU+qlg80b +b7kxXDvI9YG2+pypwLIoXMi5RtYG03kSJucA9FgFoBccoPeClCAvPmmXUK08 +6cT6K95iK6rjzfRjS1G9R4eVgua/qN7Tuuhd/jraYBG6RtvwliB/6THHTpy9 +V2IzShfLsbED5wON6aCSAkdCaqxjjNB7m459/SI9zylVFaQEl9GHdRnVNVTr +eKuRHAdqmFP3mb5ox3wFNywxKsahr23oowenvOB8Ladm7UA3WQHAef46noDx +ynSVpOaGrHMeAOCyA+CO7ibRAEosh/LxstGmbIooRl5aRLorliHJBCid8CVN +JN3MSTqqmovsExm8bQbP8f6iUhkVbDV4JiOBwfuDlNNrmd298agT8GgHjzLG +Y1s1VD56jsLFgKelVYd8yUXb12S2C1vcz++Qzqq7JwL9j7CINHmFzufZQuzs +HaskwohsitIZUd2VkyTd2EhvyFgF/sSoW/c5m8aQtHTGBtwOf6JyIf7WHP62 +/v/u3gVKrqy6EnyOT0bk///PjMi/UlIVLgqYLnuwnQZsC7AbNV0MMjQ4DTNY +XuBu4RpMYWNkDxgZtykZsBGFAfEpKBc/AVWqrGp/1O1uSq6slFXDfDTMmlma +5R6WZqbxUg+zemnoWdMx75x7zr37vLjvxROme01ba0VUZURk5Hv37Hvvuefs +s08oCBlE/PXSPExUpAvJotBxwyFHUYOAC+iq0i7szPmpJSGO5pMU6OLue+3R +zZBUO5UBnWmjJqAzzQ8s6JRpD56sE5zb/enUPAcBdHSKZKh8biPh/bcNjBYt +pJ+j58kIrUolvyjtwB7kR7mp5LNtjW54pv1TqwkLPoyXRFxVnrt6FAxGijv6 +SyBO+xhgJbOp7EDEVQsQx6xO19ygC3H8mjqNtA8qtSSiUqgqXCjwvoLlchB8 +CCI9KehoKcPzEnQikn12sJiL8JV5JhewUPcvbNP3MOpufTl0GRfUmbOSBDJM +ixiLOkOgF1/RScr9UD+hjh6HBXjE4uM8+4e2EmYYtDIq8VQ+P0+vTUSoVF0S +iM+2HfA2IvVJrHgzGo7tzc6lfOBpoTGSVrhYYyRTrEHk+L4SwGtFtuhQqcGn +aRZ4nS9C21oEbMtYPhTbSlHzbTOyDbdgKy0ovVAQa16VFjDeRZQm2pt8UBOI +cdztPrfM6Q579YNdIl6xlJEplbOwM1x5gV0oK3Kw0/XO62heaTvYLUfERBbo +tfEIgepo1uN7lttLPttej1QbsdTXcH60yMBOO14hd4VrMrQiDcnw1RzY+ZaR +KexWYWdWEU0oyGiyeQgN5pcd2ugTGxHELQTEWQUkXN7o/1PUbUdYyYvyqzHA +QZ2F9rXCTgJKVUH+3kxBgkWZAemBoyFA87EmAN/eb3bpd53A+jXZaU3y/0ed +FX/XvXUVl8g73GtBQe6ARQnDqsce2685MHJUd0nghz2cF+m1sQh7qqsP5bPc +h/LZ9lqkmmgMtIkvRVa9sfTn6wo/rVznMRKeCWtnuzqzAc9SpsJI+n+VW0DY +pcjZiNQKzyHqaI3rWikD6lTMA4OTTJpviBtXpPkmGoPKwkoQgto5YB7Zf/dH +Oi2nvr9WUGJGTvFHG7LtZ9XfK8EnKHWAo81XYzq68Z4/1dUv3GQQBIRUruG7 +CVgQam8W5lAJCGmldE3sn2olDMXtbHVlFoRYvM6vjUaIVApCbGHJpcGrAkJK +dPG3PLSZjIO05tX0OevzEQiv2nJKKwjMCpoaHtQ1EMUCBXgufCJ+Ie9OT8y7 +sOKInCGyyJP1rsI9b50kjRRoJDEUzoTDRLH6W4rCWgR4GjFnn0co8zNZKmpE +x79fgOc3bgBjd5eqnoF3di4HBHhUO8Tp5Y+0PBjP7A7f0I0KouinMmA0nQMs +GA2bXsC4o2C8/rVFcrEO2oewljIFJP3EGiGLEWV23qRHIvyno3LqhW6WvlR9 +JUKonwSBuZ547I9ozrDetUZPdCFMAQtNHe7Qht+eT4r1vZMBk43c1ZA28Iqc +RLBi/HAEmJNlgZmirBEBIQJT6zu0jZrvkRoX8tcCIxST2fQ8vJES0e4Ukbzb +K500RaLbBj+55BF58qUDWU2vWAzblB1ZRBp6vSByRRF5+TxzQA7aW5GKyjFE +JGqwMyKHI+o0ujxiT8tKFyaRYz8JYl8xTM51Lk5fs9oIVmJmLGCyHzGZXSNd +mBwIodR2TcM546F4vBiX1VA1acXhYuDkEg9sNVGgEDcQAafGm4mXw9vm+1dE +Z8ZxdaKsOQdOZbhhilEXTmK9acXHIISvabePha8Zo6NaaK7n7S8ueIwev6dL +4Yscw2x82uBWMPp+99Z1JOAfldVIMUq6c32E0U3BqK83usLS/1faC1CGrhIf +fKIeiujPKEYpsKhHm6rHaDtCxZ8CVaWeGB2MCHOMhCLLRhdGNX1H+7imVJDz +dSRyBhq5LbzGxAxjeB0NeG0UYTUZLgCrVogQWEcA+1GyiwOrdvnBbipbETe0 +WUKDhrOMSsj0+cLH5jxYIzpfsZi26R1gwXoeazZlQb1JQD173zgfehisGwJW +KNxMONcyH6lT57jjYER7JtZ0tebJ/ApWL5ud/iTdA3vidCiiyzFYBqdUqol8 +xSyHCtVjOBo+VAKnLIqg9GEiMWqHihhOhxCnRSqHYwU4RcXEwV6ZbhfI0WZ9 +SBFWnCKpqozgDH9mUjBJUSE+VwFO58YrWY2vWBjcRIYsTk9FXNGgR3fAwZuD +9rrgVENAlJyepNfmIhrvnJQZiDAnFKfYarXucdqKFNxNKU6fLcapCh3RwZwP +1XpWKoNTzdDE6ERa/ek/VxqnSq7FTioxnA6EFGBxT/KJSH2neqZY8tQswClU +g6gOl+/K8vttj1N0CMooz3A4YFow+d5fkCMX4DSBPur9zn4mcC44Na0Jfszg +1JDeBaehBiqLUywCnaLXZiNK8KuIU3b8hB9xBI5RfFC+youZ4HS5060OP1kS +p9pMVbOE37244CoxJkvgVGlvSInI4pRi8SzaOVgCp5zJHiqJ00YWp3mb63TE +IVWcYo65qL2ar+B8ZDEmuqVUH/AFisJVDM85gmKFcohrIkVDal1vv3eQSkOp +jhM7UptAUkx1zoLTUMEFnEFe7oBDkAftNQGnxpCIeTpNr81E5OHXQlmGpU8c +iZyoGh6cSxHO9ERJcGofVdRhqJYFp3LP6CCldAkFJ4ow1G4LnKMCRGz1FwMn +O6/VEuCcKwCnCiKSU9Czj5oLXCppBzPZStrRr1PfGENWXIKkrEzJMvJPLdGs +IWyefs0QYZMWT9qRzypGRURkNxKFN90LBKMPuLcuSBEp/ySnJ64aWpnnaFPS +jxjFSlLG6HREPX6dnpsRpoViNHVOHZL+eDVpeowuCkZp8VTe8HhJjKpQnPY6 +pyL6InjSzwRPpZMhDU3hSQ3T2Pl777rj8w+UgCczLsZLwrPSC56qCbeYC88B +X8dGvx/LKkn4Uuk8mPNWwgWRKwi5KeJCd5BwxHKwXBJYKpOfflrMwHJ7qUaw +JHYYrXNcBTrizBWLy5/WyFI3LA2hWGAZFOUOWMjwoL0aKQWdoeepiKI8V7k1 +CrgYSjpLD/xJv4flQoS5O5YPSxMH1dapKHA0JrCko04MlnT00TApZr6xFpma +GbisUEBkTALEI1JFNH0bi3xERgUKmTAkYGxF5By2YF2k38NcA4BQAYdE9Tbk +grLEC8IyzQldQxmILchKEmrppzkA4pndYTqoIxDZyRwTA6Wbsi8/jnU1sEA0 +LF4BopeTu/Ekq+EftFcipZWz9DwZEZHnOuW+CDdDgZju3W5kP7OZDHggzkcI +uKMlgcjrYyWzsFFAcxjQSHt2DI1KOUOqmi6SlPzhgNOvbxi2WR4aWVBTObd0 +DGFH2qOx3zMWiyQJVyPH8HXhiWOoNNtJTTKKSv9BOobbsYd60TE4AQ9LKEeM +ViIZyhkB5M1HZrjF0D2H6oyYarXaWV9fv/WiF73ISWfXyJ/kiJHTJK7deFOQ +KaaN2Z3cq/ojwzTW9sDC1rieAtsgSvfFhYTJbG2B7X1vFHr4FaasXWlPRGTl +DWwJ5BqkPxI50w962M5FmLsjJWE7ihLwBDOtb+0vAVvlrSHfjaNNNckPOYKG +qwmqlMXufAS7bu3kAzbjVskc+AUpbjcisHVQrrNXmImYUhXnf7kpZ9COKM5p +HJ4WPp6LGSqRZtOzJ/v0xFSLwJ5P8WuZpCZRzF10qZ+pbZRlP/GjTV1QKVx/ +cnR0dPd1r3sda3By3rJGZyNeLZnzkdTo0E5rLT0IjWLfc6j8IH7ATYyhCo7P +Boh7DvAR8fwUx3sfmqEF7IBiRFfMMT6LY8zPs/hJHWKjnLKKUeOutgHHsxEq +sHTiutYLx8OoBk8Y1XhSXwkcKw0OtWV5FvQJx1w/XIRd9hS0ZTT1ieFvurCQ +bMpr1z/t11vT2FATm7HQZ0uoJQUscp4TBF5Rfk0OCQqxDqKIjgSnqkaEybQR +SX+OiQgZYffhXxnLYveE+ALzwdP0TugLgo/gA047BpCGHyyADIp3pydpbTug +YBADkhhLfHS/wi1irrTHI+LxrANVA8IIt40BQLJ7K+KzQx6QMx3bAYGYwkMB +kHOd/XxADiIhGANH1RKAVIIcJpWAgu6oSmRb9QB9fpHUoh5d4HW0FcHimvgA +hEURUbRATrEoZGNPUYLu0XJMKj7pVwIbvYo1YT7IiSpj2OeygBoyAJjOhuIx +5zkcASapAqTmoUjTbuL4dEviZeJBXoBJu/3VODANhVh2fKeE95YxPjExMJci +lWILCEwUi2dgVnPJI/ZwP+yBOR1hEg+WBOZAUHcf8DUO5LBSxp1WzQgglToH +TDtHUG/IRg8LY6D4pr8veHSL44oAkhS1+apdOQOHOBWQXSvr+zjt2lXsFYtr +zvU453tw9kW2eAUnapAhb6mAJSLyTvlBeO8PsGJtQChJYRBCxwZ/QGNNlFQi +27Wd5Uxz1hdEUGsRqmQSjkQJQrm0gpXysgil0nsOZF5apYl9pT0W0YtnnFYK +yCR4zh/xCJ2KkI4HSiK0GfTem4xM6tpCgFAtRkCmUuswDL8ckNkf3bJ1paRl +mSju/FkVnj34cFAtWipAp+ox9pVE53TOwZ/2WT34M9Kbkf1b0YkNLUeAHELn +uRgVgGW8leFO8qBvefVRA00SF+Od/jHlgTZYKIlgOTdeUVieFlgma85epm31 +CyLbvODy99xbtKBez/iY5Ch0ju9wlCnhjOdipNiMsToayckf1p7CV9vIH1FU +AukuGfWonIxwkaVR1430eaXIw+wLqKz59ZI29RSV/gzsQGkIdihJuxicymYh +MtM1s5tjJ80JNiNAnZfzUQFQ6dzeLInViQxWYyECzkh17cuAVV9xDkSmPL9B +aCsX51S3lnBKQniIVVpa2W/gJFIIR516xQCG6wmrHK7fdFY04sqCVVogfXcD +werP8XMf1RiRGh7lOAmjFKqnMOsUv90kT/S4vPywfIxW35MyQ0bdHzCsZ0F8 +0Ng7YPbeQXshUunGju1IRLleRcWVgEJB1Bijb8zDfSLCem4GuG93DvLhXg91 +Rf1ZuJtFmM73KcySO7PR0ye4w3ZpvNcF4eSCCN7podIHJGPK8PzEslSUO7QX +aNMNlkQ7NpDLcYod2ocF2djlWtGOBSFlmFD8XaqRyzSqNx8yaMfVugJol8Sp +op1wyJJ2h50RDVvq+e4101BB0P469xZNFK74pZ84gOa0dR0waD44hOhnOjLB +pMnBiciv35IJxDUDw+5zhnct04G+xleiMDVrPqPjmzooSSsoeNlqY50OKqlH +oVwkD2rMYdxPh/EI6bohCqv/51OHTp5/4GU0Shxm4Qut7p7+5RN+RlTDjGjm +zgiaDekOoIFgZLHeEWEPToe69p4TRMuPfZUoZBhwdkzK7KBGyAWzY6RgdmBC +digzO2IeOjMKRoH5n50dyBNE/lUer4V9m8FIZd6GRM1oulE9fCYvdlOwxxV7 +wgcwMVyZEUZdTmbEP+Dn+op8jaKdBbQqNCeqDt/XcXrU49NDxEBPwctJxf36 +TZwy8pWkgzKmXylZZkMMlymzm6jK3QFnVsOUwdpBnjJDEfX/bF89Kl/QKcM5 +D6EwTnRNGeSES3uUm//2ytql977zBLM1KvTM0fakdum+X9rt/NUjh1QUAqcM +RdhiUyY9WGoQWgmK1OXkDgjoKZFx4jamjNZPU/GMVK8mR2TK+DDbh9uiReWm +TIHs23jBlMnrkcclCnnHhnE4dBLvG6cMFtUgFSxGtaF8CE+/YZkyXN0jmbt1 +2Dxe/MI7O0e3lrsyd6Lrb3pTPM+9Ru6Tpzb+uJkqlwHeewrhinuPwiyXMu/n +bSaiJnIMXu7I1a34b+QYIE2AazCZvIAQTBzDVpddMUjWPblEC+RBey5S9cjJ +msFI1wLs88ezDHIyFMdWTuWknzhjQFTXVi61kq7XcGTC2E7OPGE02o2pb50w +yKgczU6Y6KbgJgzzg6oyQ2hi8dkQNhqcNcMya6hLWsGsmSo5a7ROqIfiMO81 +KpaI/Vm2JM2tFT9RCRWhAY1h0QS7GtTD97E5EfVJZ9rHp0k90ae5+/r6zjeb +TZ4sdzubmTyLTBbTR0Mmy2udoY8Dsmk3cVtEnVCN82En8e/VCO2n5HGPB0vt +Knz8nJ9VPOOuwVssljDkrsuQ4mVObOtnqcpoiubEbKQIk/PuA5FCdGwuCI1b +DX/zu/vMJJY5Ial001lGus1cj86JCzInnpBWB73nhAbckVmkcwKD8MMhS1lu +TvQBvSNLOPr2F8KcGMjMiRxVttmSc6IK9UQF2r88dWZ8dduWnEIoHU+f1PNH +pgppFIsxvv1HQf2qBTFKSk0ev6ehOwYdeWkSEGzFlzJxH5kHppuHnQe4KZzw +6K2hq3TBA7c+By/fkL+bNNyv7MB7lwPWDbFesO6/5sLvTpPTfdCeEawzf/71 +d3ZjHTs3HJVgEwSg6HE4Ehad9nAfidDqK0VpeYL7E/OQfe8J99HIkUJZTChf +NHAbcGeefTOXP1JlJ4lJGA+siKR8HO4q15ZiVzuuYkPgQ5LahO6tvbQMnXb1 +HMSXtFBOaU9AcYKq18CzG8O6jm9+TKiMH2kJz66Zl43XjKbQQkwI/nmRaSCQ +f40zsK+VS9zRQvDbhJdvefwyrC/J4/5Eafs1XNrpC8XbUfYUHhOcdtw7+IDg +VnZFO9aPMrWvP9LRQVd2mhrEW6GfKvS8HanXm/F4d6n6PqTn00OxLkeiJns6 +AvNGOZhPRI4BCnPklbJHVL0NmA8KpJ/8nVWfIo3BvFYC5il+l51EUgq+bVm3 +VXgd122YF4znRSj81HYHWcpedkJoRokc/zGsAcEs/Vx+MvSSYJrWxR92hjGp +JsG0qa63mMbF95IuzNY3uUv+QPryXuZlAa9yqPYAvOwMaQ0UL9XTkcJSpks3 +I10VFLyePsU/pc+HIhzUWQ/eITnaAn3/uuapALmXO086rl69HHKVZorCsIpc +pJ7WeyGXV8EUud+5sMiFpapqrrnU1AcR5DYYpez8/Ban+/lnQjjqLynxhKQM +VzxsVYkpptjEzajkNziPsByJ7SDJL48opSQ/qH8a9nUiic3nT0eypQJhWg/J +aaBN1Gku2ayUQNgI0VkIo8txJkD4HLy8GyB8AV4+5ldry+4Xb4NdHFWzm6Hn +KSg3VVLAOkKYAyxnD5kwDUY7a/S8FWGvznkID8ohU9j9N9Of7rLr7sOK3mo5 +9OqHUYlT0YsqOvx1FUEvecO90Kva35jCOiJrLP1My2COAOK6B6srGO3PVUyk +L2EcqeOwEgFsjNmHLWkoiALMPkwbDGIpibbdpp8mALQk4pST4t8Ja+CtDGhN +eNKC9gzA8FQA7Wl4+e0BtBihuSeAVrn/vN5XMvzYviw/tiNXs+h+GVXzaAU9 +aE9GilS5wLohSPbVA4BuDEzW6XlT0E2tcDQ6Oe/RPRCKBG79zE89l5AtC/MQ +QpsfPWC9GHEdFNZIZVVEp6hN19L17sMXIFpVuzEQr1I9sfWXLkf177Y8pJ24 +51CufhkqSUFPFw6JqAus6f8s7a+AXaW0Pyym6seKFE+UeWxOuH8h85phCXDm +9SUOKSYXJVETUxFtoX0+s/A2u5dpyrTO8st18oFvwVuMeMG3OsXMMKwQqh2+ +OVbdtyeHU31QcIQCI4JvlOej5fWgPREpbmW1i5h8/ZFI/LAP8U0vak1hwLfQ +EG5e/eIGtVJxt87PA4TvvRK4RjVHldU7Kuc/pbZ+63NLRVhm8Z/pSKxvAzxg +wXJA5jGvrHfYQ3mph+qPQFnlqPxBUyWYtYQAw+BIFozxsTJkQSzEYspXO1LQ +P1ycWmU4/5QDhkkkPde9ZoqpX2TgjA7D8QDnXXj5nIds7R75lH6y0Q1+8owl +n2qKD8Tr4I9q8dY8PY9n6l6Fm32lXY+I1h+JxPh4/d6IcGQXPG4bglvxNgC3 +TWrAe/lL797Iw6uyXIktoGuusmYo+0/rbvpRWTNrUazOZWJwqT9MB9s91uNL +sUrkVwOTY7CKhq6oSQDufEQRKKKj1ogAV5nXPvtykVWGPEuLPJIcwZauoi32 +OFYjpMKB4kJV5gK8zCHCSPoIYE07hb8BYOvoJu/ppyWovQPv0YMdGSlTpDXY +O+nb7jVf7kV6gAsE3bGMFO8XH2AW95V2LaJ4r9DFkB071usCXepqwoTGq0xh +FujWc6Hbdzz9mpv0VR4zv7pJHEMlwqpqGuX1tzRiJ5DNLq/0X4Jc+p5rALKQ +iTCk62nSEmJ2Ccwmyof1bU8fn3NkbcbvrCQfKYycpxA0kAXvxTh4lWJYRNtS +eaCuopf1CJGlkakizJSzcsriZxwmKL1yUnORAl6KRZzTw5wFLzoPGqBOXz6Z +WOfBgbcP3WWdPYTzCk+fKl3Hw4nN21/1X5r4Zfg0lioIlj32SU5wEbHsid9X +2g7L1QJai2d5fZFLZf+yvRbh23IjdddPpN757jOhzyo9qK+I6xRMQY/1m999 +ZhW85hp7FUSbFWgrk1Ybn1P+fUO8hyIPmBqdi5cwjGUHEIFw4rziPcTQTRIY +1z+9xNXadUC3qkEHdE+V0BUadJ92sPQHM4A4X9p71koxE+mkp8pCyBdXPXwk +KtZK1Mgedygx0WJBt+kIlY/u3YDut8PLZzy6w3JKP/UH+HqKiSzFpqBB4Lui +v3vpwVnC10F7NFJ5u+06LHbL8Xexsj7NBbaqRxhvdMqtrNd8U7RvfGlde6VR +ZkVbqD354BZ3VuNepRXTFfidR3xbKu6L6LpV2a7AvTsyDrqz2c6509s6UEnV +PZvoifooyDlf1YjKowtF/rWSemlCuaWfCzdCbQSXXP+687ZnYdZQnK9o1iiz +FxX7w6wZL1G2wzwvrGDUsh2cNZwmzzAcsxwuJbOrzpHnsT+ms2YICY/8oCJe +SrtIEW820/hKwTWmXWTS7KGPYydNiVDJqTBp7sJJU6G/LnxGyti8XX9dStxN +oYXMHFOjtkwzZ0RmDuUXtfj3sPaI/8s2thMYdYVA6bTRNop/7B7cLu2bX13X +VmrknsOMqLpea9SCrckT8cHfOMwPmhM0W+n7yc1P/7+i80LyOvLoOS/m1P+G +1nHcHNg1msPWcWXalsqEJcIZPbhrcTqZpZkxtTqkB7f/vnR+s+Lalt58+nMb +x3Zf5Zoj1SKTMit5E9obuDAnBXa60opuUvbJpGTm8m9uSJ0ylISQC6WTcioy +Kb2LFSYlc2jUzcJeLWFSjpSYlMO9ypUomK6JoL6cSYkssVmsVSKRESXUbwqx +kq7iA/9wMy8JypPgVW78jVaTTMdrbwJhRjsdd2GCeX5w96nDTccBTPxre60V +uYiT8lGaso6WbytMZEJybZ6qPi7hhMQq5r68BqbpgzvCSW+4Sx/f5Pg94fSB +0BA4nXOmXWmmFzB3IU5XEvprZAttMUpNt4vaNUJ34Aa/B92BeabRZExfd6SE +Hk0aqSU4zLDuJo1dfUnTh+7MlGzQDTvdvLUUDCnWrGvN3Zz4NNXOnKbsRFU6 +DtYJLJSbqP0yUUUOg3+qY0kMNoSYkGwYRWRzJinHGeaGC2fpYE7ZFv1Xdzr+ +hv6CWYqt5bBPUx49bQ7LtvDwv55J6b7g7js7MzMzNEP3kkBTcJJ/tjWETFAT +f7UTFHfAcNoxbE0y6zDMLvlksuBeM1UvbhY63sIv3jvS+c6fr9AjxdWTNLEu ++In1MTux3rfNj/PvoYl1Okyst6YT6i22yXbNdz1NP0Azg2aFzIzc3vU13/eU +f5O/Q6cp7dScr0+3RvpD6VxKz1Cwacnumj5q0kFSZlHNtQ3nnVomDnWQlHbj +6Q6vvFLky/Fr7Uhd+ko42OXOqOs//iPM+vGVN9iefjY7o34+OqOGZEZ5ZoUK +dcQ68Y7CjKLXYp3tmSkxGmG3aTU5tqdvlCgz411yMHduDTDJTdLIjnD9zqgm +PE8pbbdCBzYNSawUl4zTXkN70Wtl4DFbd1dkmr0YpxSzO7WY4JZMTmW8rcC8 +oskkh7Kr8JLOK1M+I7sbUypWVviYlYxHXDSDcvLv7v1BZnbKA/aMptszfuWI +fxDGaQ7Q9/EOZ7qlihsKLb2LWqdORqLQytLAik6uWGgBq1pr4VdVBPzZtp8L +EMTgnUUUEXUqIP95qmAqUFabpsK3v7A42unuLqm1AvSa678m8sZSE1w4CyZK +zgKU9swrPxvF8rPuWdD0FTvZ7n1CfJvz1WYsxIkEz4Ii9J+TlR7TeFIpYHw/ +wbwQPDFWcSbAHV8+6+FeexhepnkmmiGm+kV2Eo4433V4inaMzlOfIsflc+y4 +fGGdthN+XH9sTTaYdKthz28wU+1OSt9HMtFl2n2OukL39HDExZfLAjqvb7e/ +okC8mT77BVmAeL7zBDsxyjJWIFLpupKOx8sBcUKAyN+06yCoQAyNALkBtAei +anJngcjynErAR/bltrAvAYheXCmvyotBOJY91V9kr8SwLzHRDawfR7bQqi6m +u73xsFE5pH5reZXnb5Dl8U3QukDAaMQ3DRjrXpFLFuAdtpZ7bwfeowfDTGCJ +sYN7wkJsaksOudeMlucKPQ8IvGhx5FDqRaYQ20ItCJYhV43Bt5QhFpNDseJe +u5WugPd0riD46h589BBWg/cKkOUwUg6BRGbwbTSwxwvDkN3iRgH4aFX04Jv1 +nvRhSazRFxK8curUWRV+IoKyFeBExrhlKGM4j8VQWF07VyLd6xY1mz0TpNFy +dDqz1UsxFK5vtwS4SYXxVj+bQRq37XWV4uZYTN/Rz+1Vqz5WG0DJ7rWv4hD0 +cYJDSwJX6bk/UlSu6MNqpxjNjMNQixGabzsXfX0GffQQ/oECEHmOg7cBQOyL +wQCGdRBBWe0BRWrBy+Ub2jScgMPCBF50q8m5NTpSomYwFB3x0jcdAeVyhPCI +/DFaDun0R4RHpdekHivHRsdA71XrW6fzs7u+0vtkQINPkEEB3/EoPjk8eUlw +ljRcaPNSBGQ7gMfUvebXViKfOykcG/5zAkZf40RldmsExmakpPuohEChzIge +hyPEMFakWYh03mjl4rGKeEy0EBt5XRqBoOiDUhibtwFMLY7ARhgOmANhtd2b +c4Jvb7MSrwTcFJCMx6WIM7heUPBD2KQFM8UjL5KzETwuRBhfEa1ijfMjRYZr +6iaggJS0YQKfsUuD2NRav9mNvUlrCSbNji2YfF3A5Gn5qqTmsObXTvqn4faS +mDTFEIJJH9UgTc51xCQTsaRmWj1CLAeq0PN2hM7FSl7zGU3OS5/YTJYDKo8V +oVIbCak8AOm7KSqxIZvWRAMqbTN6h0oOSvu+F6iJfUTWRoIlvdbdUFVqeFoR +LDIvnMT+i6ty9Hd4jdSmAajxNnt7LETEJPsBU5EmqaMlUq3/0I28kWsXTJoo +mGDSnXb4yL6TuDQrrbQssT0Z8KoFmclA/kZt6hoOZTBMmpobhMMGaGvDptwV +oa7S8yHBIeV9lJ7F2ptzEdrsUsDhic5f5uOw1rG6biTYrjhE7cFKAQ4DN3vJ +4VBLEwgyqoStVFhdElMc+i9wApqOtMXroooPcwtJWksf5322uAeQw2I1AmOO +4Gq/AJRumZZIbEQZFpkyXTQCrpucjRQPDwkob3xmhouHI9nM5K3ODOb87LJa +VhPTUWiTD7u3TJXBVgAjA+rcOyYofXPQ7ovU7yqgUCezRs9bEd3sSQQUxZCU +p7pQElC6YGEW7g55R0FGwCoCEdFPff8JFa+kVU45qAAic0YlHKTrCq9n6wIE +tjeJpTzOe2NudQtUcXlFNwQRSzq0IiCagHB+HiFFAzdIkTIlL9/5YsjioUBg +QfHtfW70TexRcGT6pVgcGdF/WZg4vq8SloyjemQzVBxRiJ7JHleYtn+lvRkR +submALPAG6VEr+c7l8BRQ3DEZLRMpz1ahMh1I8Pl4mciUmGyCgeFuIrvaqKn +XpTx5wPGFgCKucOP88aW26sESlb6I3hijK1G8DRago+kMRgMBPJCtSh4+tZD +PiYulLuela2/EnauWxk8mfCKxZPR7hc8GcHJLXquQfUp5S4RTxiW4/VrIyIo +zT1QZgRP2Nx5riSeUBma9JM6qlQuWn7kSJHLn1pPIUXGJLY8BeOmkBZP8GGg +f7QltM1iSLlzbA1rqemhoWDvvT/O5ILC5jfCAh3KiyJrIA6bLw9lWAGxBKYS +3FD3mSk+y5lS6fS/wnKLJkwuJ6Gs9FedGUzw+M6wCp2Jb3SG2C6AMgVHBlBY +EaqA0qAb5SLYw1qPqB5x46fpCKNytiSgtHUdikooWzIDqMxysORk9t+xyaCa +zfDXqdZiEfa5uLjRKtFPGpktkurcDkdANQ6gKqjEGAWvS0HFarkqiI8iRf0l +qCZd/K+Lc1iGMYS1ykwCyyny1GzErzszmOOkAMp0FxFAnXNvkQt+I+M5uUTC +FjcCpWXgoF2N1GcqoLDqp4mAwlAuA2oq0nFkpiSgBiLhWk8qjAAqkMKXqpDE +1czVWB7RfA7AFdWmcuDql0WLcgIgSKL48tJAj8+ZNrIFjecnsh4ZUAsRWshi +yuNHzAO0VHaUeRVrwmKi6iD6pYfeNpWX3Ep+w1nBhMwET6bSx+LJUL4FT0zD +VSXDbXquZCoi6bSmeMKNjWO1axFmALdNnIRWINoLebpk4EuVcLAYrFUGTw8v +KR8uJKA4c7A3vwwkVXKQkA+Xq8UJeNJiL01WklOmiPJRCy6AdBnRoibH0win +l+fDCek2OdQAqVqv4XeFAgYXY3jtiyc7d955Z6dSqZhKx3fLioKx2DsjO58F +kSFeC4h2EwnkUw3MYYYSb3OUWXd771fWs3lLqorhZNMqFCJqPp07xE5AFw6V +95sKENqxaUwLIW17ibHTxXIQUqYWihcbnjOZlGtX9qQRu6jvEaxyIMTxLT2b +YSG2QshrM+l5LadOwECoGvHBD0llAP1xwRETLSkIQAfFSII9aWVdrxQ6qyVk +W98rSwi6RCJcOYa++E8YAI2JKB+75QIgr3FHhSdHGEDpYvNnhnTRVYfC6FmJ +lANyH+zxCDVJ0OM3M/onrKTTUIQtKnZWAnWuF3pcKYqykshTp5d9IzYl5GqK +m34aAfREJbJS9KTvMXr0JIYtVhQ9WMjXV4KaO0Ofqeeip8l/nH4h1ugqRYyq +EZDnIwtW0o5H2umE7mv73ifLBUY1BTBGfU4A8xH31lV0g0QY2wjAKWC+ezks +LZg11MoPplO0I0V4C/Q8FmllIbvYri41AJhdPgsJYEYiwcjpcoBR7o5zS57L +P/UhMRQJPIPA4I6GEh1g+GMqIY2d+GKAKdMBlQHTjABmA+LjBZ3ROFpQ9Rye +pRKldL/rhtkEGwUr5C5fiGNFWZy8eQlWvITVw++dIlwcZBcS3Zow9jhEz61I +mnmRnkczDJvvfH0lmcjHyv0sCC5YUeEzjDNOlMOK0muoSsdFeKTeWCmPnibj +Oo6VxooKKmsLUaLMHJYUCh3m5YzWdRCHNqQcUBqIQGQVIBJLM9N3OEmUi3N1 +D5F5gAiKWQpEOB4tnUNMHFEgYvYkCxFDSJT9x6iO6XJC4R5i7iJEWNReworD +9Lwcyfwu0fNIpJ3teD5EzgILQdhWUlElIcSRchCZFlCguNLRCPOgXoAODigD +OvT4wxGI31oDElbDryTZRDHxX2eR+YeQaAEdJpbplZZeUo/rxEUuzjUjZYvT +mQjhsedFI84fcINsIoTachvbKVikGCKfIIUp4SrxpUjxRVIHASkoV8e1G0uR +bOxyKC+scvEC+4VfW0/GSiIlJi83WA4pc4IULYKlogJFCvJWKiWQkqJsCOl6 +Ik3AP6kwF8RbEgxUag85RstoBC2L5XKwygtAbUU+HQ1EWHsTvSPLhJs/cENu +jkPSm8g0JhDcPCgYQaadbEJMX1FdrSNyRKKaANp00p/ocTgSGuQK1sVIApX3 +pqEIvWS0JHQmI2HApgQI89RaBDr8qTlk2qGGxVHhkyjHJKa7QlEUOvMocFRU +1p+tHmdhTD4N5fE6lTRHR/EZZN4heOblDK2aK7HzuGbvUcWQyShDERbeaH7/ +QCxjAd/VR2MEOUYhyyLHsOQEOUzO23le06w4PiV6wFyPg/Z2JArIxfsLkVwp ++8CDkcasIyWxMwURPxVqrd8Gdrg9Sq0TNKZka/FKavQafTnZOpKWGkZOHFbb +tzOE9Jh8fUV+D8WKeeGaiuBnpiBHmk20I36YODIawc9QOVnAP3SjbiJ82lAS +Ve1/0uDHENsEP0YTSvHjU6H8U/p8KBL1Yw2e+UiOdAXxwycuaYg6VBI/sRbm +ldvFj3LZsMR1S2K/mTVH9xuUIhlCHhsW0Kn8k7ZAyBFzz0YECQnsKc1EYDRZ +IjU6HIER8zxU55qBfp9Wu5Yqg/hEWFd8jE9gRCfua3EYbYuLfAZgxGRdlWhS +GD15TjKgl1lo9qC9FemDxhJkc5HUKEf+BgRGvtuA9tUtAaMZST+oClORyFgK +HUYYb1sqnovBmHXZtvJkwgg7BAfxqoeQeoZ1MirCFKNBAnxUhKmrmxPS0DT3 +NJaTCMX2kJpZx25ODDvVjMZeNCpmQ1ULuy/uj1YtfMqNuDlKCXaOK0EMsPNR +9xZlQP2BfcO9ZjSSFDs+2fnkqsUOkr+5AGs2kgXlxEM/0DS00+hAPnbOiCI/ +YMd5yYQPPbwgZq5/ZpkxM4/cMKxjWYHtqkD6SL0kZHT0I10My1tmytHFBsCt +5nVZi3lVkxlzl8M5OU89rUlT74t+sxKJUcbUTKQxS604PMz5hYfcqJto35GA +qbNx/ChdjCmOgh/Tm17xk+LGw4Q3t80IX3sK8YNJT8ZPM0LL6M/Hz6nO41kX +qJZdc1TwjZwXigbKxxlBKh3rO3/sMTmwDIK0oAAJHIYshoUBk+UQpMXjGFEe +QK4YImigRGpzJoKgkcAVG0QWLD+KdOCccIKN/wl6jLS3RY8hiQl6VhQ9JAuk +6KGKbgbJua2kD9HDasYPOHeI0TMTSXFyGr0R6dfZLImeCTmpF+1YymKl9/2B +S8VaCV/aSa2kRJX6S8jXqCE/DDk5YxE6jzn1O8LhWARDrOezEsFQoyCfmU2P +I4YGAz/MaSx/6JfaWTY/nZJomfi82BxjggIbI6dtYWO4YAIbo4mjYWOPjoO2 +g80GEKE1nsyi79ORtCbzw/qg76UyLRr5sDmJDs8YbFoFaqrK0UdVmBnkgREi +tD1SSakmdZmQkFFBMhhZSynPw+XYhZOZsDMFDetIBkP01CQMpNnMnHLhxQiA ++gOA3Jb1vp8f6Rw9erQzNjZmIspfEtNjnFC1/fHUbtFjiF/iLpvm6rroeLb8 +AZv8oL0e0SfjfhdTkbQms1XrEV6FIOpUuSxVOfQgMUfVFbiCSFVLkWVaUlhI +idGeg/H4nM9IITd1oByVcCaCnmpgfQ0hevhRlKRK39NtD2V7eclaEOSQ0lce +N/6rYnaMFIq4rSnYEOTA8d6nNmXdYREF5aAqckgAgaKF9BNHgtYi+lzcA2sy +kt9kvnwtQqeol0TOUDnkcE1GXZAT/GShdKkCqHYsodQEKt3QlhZTumG3SYM2 +GCCMMQYb5RiD8xnsUFxoW9YK/bqCfGayGsFKLWAlGljGhMSjYmsMD4o4hpFl +/ikDF0PgEriwlsaJnxw0cPHs9wN2aA/aq5C/4ojzFSbZXGlPRFKch5ygm4ML +ncm1R6BA6P4If8JsUwO3ARdtDYt0G8PYSl1dn58oI+MyjnQt1BSM0bVq5QiA +y5gBE/VN5ZZqXjPdj0KBW7o30WvffmQxiamBs8LnfDl2++NhqfCRQIGKEUS2 +UDE0LYGKaeKtUKEMJxPbD9j7P2ivRKpuuFXreCTVue2UJ7qZEwKfs52rrSxU +jCOMxat5TYkVKoMCFWmH2s3MQtV31DrJk5hgqGggxvMsPFSGQh2YSEygsHYk +k8DhIFVvRaysRVJYuqPRfwly3/rs4qEsVHzVf67Gj1LWnxQTY6BPUEI/e+Vh +ixINJfP5XFDCmhDKCFWUnH+P2PyAo3MH7TbkqrSmhlvCj0XSnIe1D8zVts9h +fefrqscWw4jZffpuAyMjghFye5UiYfhX6L+WkSGZQPIVxmkOS3pKM+AUB87L +ELSQcIUq1W05XPfIbeqetC1fwbvg2ze7UuAFkeA/cQNronkCEPr57RmAfMy9 +ZbhX62KbBGQbFCA+73TAU++g3YKEFIeI/2LFAgSTmUeklQqQJQgbjIy+CCJq +5RDBKakxQYS2kSC3gwlWWxFKcL0AEaoNwoiI1bEoJ4LOt+o4ZIP8LWRSIRKW +YInIS1amSKhGTka8p1QiUbpJcVy1k08syntJhhejdNuRLcfiwvCsBBehUfET +Sx4XT31KrPxnqwm7tMuRhjuL9NpoJFF5RBYOn3z60jphIgaJym1AYjJDfUj/ +m/CBRxvoeXl6z38o1uhgSIzCUUbrNjdzyHVqWSLltZE5xTP7/s2Qg+6Re+yL +4CFQqTJ4yPa/gbibZ4X/uRtbE3cTPBiBVIsHdTe4ksXhIWgyXv1saqJn2ocF +EqR1xQ7dY2vk6R0QM4YhAWzxhF8bieQeVfpFEknnHnngkCwRg4iHXByQ8/DN +8y2Xrp4RIGhILF0jEseP6vdiatmSXR8z/yDHzPfmtLW6T9h47kJfXsKmwuH6 +quYN+cOLyJZCZ3G2RO5QFTwJOlpWySG4RgQGPfrGcPj1686uJo4mMDDnWQsD +w5iSZcH0r60QELazBO9PbSZMqFqMlJnwejEcyR4qEL779Mq5X3ztc1buuusu +KQXo90BIDZ0LgD4fl8/sAUdgwmt/IDQ8CU9MItsJDxRIQMjThdRKf0zdLCD7 +Ca0/VSL1NyS/h0W1y0h9Qutnm7BAEJWC7yyJ8hfOdCYOdiiCiGPO+h+npwr5 +CuJDBj7lM21n80MZjjbJ1nFwbCGiZ8e+w1Ak6yc2P9l9AG2cPP9rm8y6Jz5B +vq2rsMJr5rdI4YHWY1V4YKNr1Akp1Es5RkcFOq3+wEj5LLKWMGA5njF6FkVU +HD0aMfoispb8AaR38xIOYR0425kQ1lZkN0CjZyhL2rAx/f8xXSGkNVko1X+G +T4cBEkzFfo9bFAwkfL4u/clAAhN5InKzqwVlARL1q94Bi0JB+6JjQndDFv88 +nQaCgjgBbtPXQJK2tCMRhvkCEpLCQU8UGLycRhJSVxINkm9d+Prt1WQiAgdO +poxE4IDp2zx29VVnNxOi0novrKq3cFAGkmtfR8915ipVfeyc/olSJpfbMyky +iwku23iri3eyFOZ8RAWOz6CqTew5AFrPEetIkD5Y57jCHQnYsTiVqUTkvYPO +ChYs/REOdRlRBl1vfIGXlv0o8whZaDMl2Gt68KBQBJv0t9Yc7UgltSj2pPSh +wQxwYhm36QhwZgLtaAiB42udC9Q9/ms3jubwwLipUPjypQYtSjTiI2aFfoX5 +2G5VOaurSlfzzmc4mPBMeyvCv2YO/1ykooPZkDViB1S9Pr4osBo1YCcSTJUd +Rm0+XW8qpC0syw/hkLS1K6ZrS+/uFPmy+aNux7n80z/x3MxCVj2OEbO6x6Sm +5FDMrYyqgy58Goj/7qPziaEzoWOiZIIebDg9/Agk+SdDZ0JWWxNSecQHyEnl +zUaQORUYTf38O19412pR9DT5b8M25QNjWwGiJzK7mhDmbiKFe829FoiUz3Dm +5Jn2puAPeNwuK1yzavHppzMwYw+2olj7yBaHSeQhitWEtTqvdahu7VTdLdwI +SOkjKMoXNWZIhz2jtO17NMjr1a5WKAjpvEYNXaryqrSdHuflwUuvW3XPX7uw +PveCF7xAV12D8KpH+Egk2VhSYkLZDrmcK6yLU7aDcva6KmUdyLUQBssbeD1e +ioC8DgGdgqzjQgTk7P5NQVzvkfvHO+n5RvPVSDS/5gbQxPUE30YKwOLbsKwE +314K4Dv/jPlVT3Bzq0fXOt/88jo/vvH5ddWtprAOSVnT48lzW6Kv/rn3UaMO +8uUePH1YH11NENzje2qCMEPPrrVILdtaJHRESPi7eYl2XwGYDVPJzbAaR7C1 +I4pKxcukTKcnP1IcG8Hur7jH9YtrspVQB5aqEwP9y3Zom5vYNKzIA53HeLc2 +6drZ2dndP7cSQlmM/3EBMUqJlVTBGIRDzfNijDFMfSJfo4AxpsIF2L0xMMa4 +UqtaAvXpsr8cQf1oWNp70uP/R3HWMGqptXzqNnSj3rDDBPX0uc7IyAjja7wU +vrT9wFu4/cBbM+0HTkP7AeoDkk4Kj6lzW37W9BaBZ0zRsVhEZpOxSGaOGSSN +SBJ3PQI2rXUnB5b50o8uOCp9rAX4dAZnOdIGukSHENqKY5UdErAg26O/HM7m +ItlbTtOtepzlFJSqZPu3H1lciUCMw2sle9z/z26wzNFXK4pR7fClBmLKJON8 +ikBshyA2ODjY+fL7iTN18Nn1dHk4+OwGLah+caWFNl1yK8KHptiYdJ2hmMlS +hHA/Ta9NR7TtmJPWF8nWruViosbHnm98VPpnfnqZI6MzEdtOdKxmAW6VWlac +wkJF7DKBtS4OR185nuFipE4DWsc7MNDnydKRUtL1CBgGwnrjiPAnXxpvCf+/ +ODOayJcgwegVWiQYVpgggXAlsgWzfOAlNeVn2qsRSvwMvTYVUZpjomo9kmVd +zbVu3QVE9+ZNoJuzIAsRO5WUpVAyIZrzSGTmVkuQAVMTx2opqn7S59R/staz +y5FuRUzcDPO9mKv+L4PNbmVMbPYYMfF595ahb63K2qAmfvi3pviU6ky8IiZO +13e3HX9hncJ/B21tMYPab1vuqOpMrBoDlCddyTVxn/Og99yDWnkK+XMMuTTY +ZKyklsQMsq/IXFxb4k09iPbqxdhLYvUOq0K7wsRnloJD10MiI9sRG9ezNs5j +lN9wBjLxTYlXG+/Z2jjmM3BbpLO/PE7WBRu3I9zyOXptIiLHZroodxVnxjdu +tHGi/Vi9LuQeC9fszbcjcc2SYhCzyJ1CIx2ROUyvkSOQQ6vbgGoErnDwFIcg +ZxSrwFXOTEwRC+WLqyEu1ZXA0OAlu3z/hxswE7wUWxvBPWvrY2Lrk2BrV/D/ +cyNs63qXrZEQzrYez1Sh0BHftBzGZGarpK05Oa09/fbm1yLByDKCDunqP4uU +JyQvHIow4SJTeBMpTihWttQjS0lmzpccqqGZ6TGWSVjEItR/HVZhH2kUI9Oe +7KvzrZGV84T7spAoB9jIfd7ILeBtk19PP82jkemCtVhkW/Wp0xMg5CmXS5q4 +JoYOhR3SyVV1gJTvGDgJ5YythWLIsN4Q3yuHz1ahK9hEzlKspD5mac1IKsMF +ixi7JvRj7Gp4avW5N49EqdX/2o2WieBtRNZyMfMnw9TP7s1SSt9gMze8mZcj +JOsFeh6DRJQWd6hIA6Yll0raWKnRoc2B2N3p9wz4LEGeZILUTcwhAwn1LNfk +SF6w1vI+LWbhQ1kjYiqses/mH2n/p8CwNjZE5on6YJQmEDObgvcCqY3vuPEy +O/F6mLHeK3uZsbLhIYmVQ1Or1MpNb2U9QiE3ehGbxKNU2BGwvGYaF/KtvKP+ +tVfvSizhrBLYRW7WUsxeZ6ymKNG6Gk/HNDNyC/KIILp5d3ESBsBcqpOMVel5 +ecURYJbo7/FpSnu84nRu5otjYFD+37hRM5612NrowFlbG46R2DpUpae27ve2 +XgRyM83qTraLMpZNqK0xgyiqBxeIoJqx9T2dx2dvcqhaV+gkMMkoyuYmc64G +Aa3jqkHAC7RGlWkh1hTyUglTNyIQYaJ6jA4yljF1LBM4Hvk99s77IqauF/OS +dxPHS/6/ZYJgFGU92PNC3NTKI+IaYTG1LyK/8cRiwjt1HU1NQTFlKPOCPhwp +eVBT+3or1RotbWoObSGJeLMTZAO0+DIrG6AlDE99cGUWiUNa+y9t33Itrlrn +AxGkGOIQGYjzJBrrkiQbWTQnyTYZMTqHc/sjRq+U4xr/P274TMBkPbK+i9FZ +aIDpQ2LqUO/9hXlnap7VCxGuMbtoQxHNrSORmT6bb2pawb2peZ/WkmuUe12F +FbxEvT99TAIrrkZOZY4w94RJ/yjX5w/aiZZqI1mAg6Q6ZcmYHCD66ryUaocQ +fJcAhTP8TAQz7MQPCk0MDN+5/P7c7pb/zg2g2aTF2OfRZUNjZ2hDKzLr1ex7 +H5wh90LMPh+hErexPWq3lH4NZz1U416i5yLLszem6vSovNkqZ3lNrWOghevX +sIGL0jYme9DGiBOkBdaYkjc8IW05RaVGjXLJl/msI26pQo3OZ+53aIrxg10H +Mzd0xv2Wo5TRRbM230V1IrG5qbIe8jafE5t7HZnH1mx/0pjaPU7/CtRCXmJ1 +V9uF3FidvTPtQYaH6sUeVpcSxf4IYDiIqnVjXqJIWRE92GGTkXXCkHygH6Mv +jM5rLipWX8pYnZYK/roYHbharV4bHh72dGC2utDuTVBFrG6qo63V6WXPCZYF +PlRHp25bsPpshBhs+oLGNOlx9lehTq2n1VXQhVxxLYafA4MXFMMPya+ikgfH +U1ci8e+hEgbP1jLTa2OBPjOEKlMcIoklvyDf0c6sDr5J4nA8eGYaIrKx+92I +meCKGNuLj4GxP+3eMrwZmeKuqc4r2cw06GLsmQgj2PTdRA2pI5FpX4OqkR7G +1pxG6OxGnKfpiLELytbJcXeS3hJP1Uw6Ziw0w9mDLqW0UUyOApOk36/35Kvn +FIVJVWGk6+BQieAZG3nIjZQJrcgUNWXILzdGNuQRMTId7zrHf4yPYMlIl5H5 +HP0+x/FdwwaCKPaU7atEGfA+4P0WGNmJWKilkPMzKYS4vJJhKivWZCWSNHkn +V+1SP88hY6lcIbJ+xMJLsPQbroSuw5rvoGS2ng2h0MvXF+NSP4rWvf7x6Sx5 +18fM2LquS7N1ucW6pnLYWtckPMS6rnL4Dhc4G/XWnQa2rupacJtS7eaHUky5 +TY4G8q17V+fitLeuyieh1uhYD+sGIkOgO6aHNw6oe+USimhpwRYmK6O5T8dQ +aOcxFJYh20HfixE4XuXes+azWGjZ4eB59+yfx8YddyNkYihi3FN6cu42rqEn +iHHJtXMFv6lxx7xxpyLk2g00LiolaVS0q+FQ0xl3r5dxlemER6bhTn7lnRpX +5UhQJeCoZCYhMtqLcSKRU7uW18N0HSjKa/BUFuOqbVEVcjCU4vSs9mfbTsna +hkETsa3RvrK2NYQDse1uorW6qW3HvW0nI8RV0z4R5YzUtl3Nf/ryj9PGtsou +QrXFMqXXKhiCXvBRmZ+6j8f4Iqk9deHGHGYlmLNnDPWi35x/Y90kL1CusZm1 +ayYOdikJ9fls11k3OCYuInY14lRi18+4twzLwI00NkzhPV/sOiF29SehbNc5 +FBrymQyovBoA5kHssGzsOiX2oXmkXQf6Cuyq1bJLSCnQAzFN+O0CpggZiIye +gkHXbUxfLpbIWGimA8uu1a7qb5Fd+0L4qycRke26ECbgrYxdyc7bmfkqdjUb +rdgV+prM0rwRu46DDIPK9prmb7F4NpZPDUAG+mpkLV5JLXLDJTHm/IaJGnPV +snbVOjfkiG6Ia5xnV4pv6mKpDCLMOM71yFNI79mu2kk1LikosJP5+3xEtMYt +oACycV2yx8Y6ZHU1lbDWuIZKIMb11CCqhJ3yxh2DsCYfzC+v2E5sNGGzEWxs +vC1xsDy7XlO7zkioGrqs51Y3X3pghc2pdWqojrIqx5UeGku870K54zZSBzBr +OJ0xbyw3oYXR3uEC6gCYNxi3uMq9A1P0Kpa16zxMX/NL9E8byxr+gAIh8fWu +LbDsaITXp1XwFJgUIq9vVoSr80C+UWkR9pN1ViYmnV3ob+jE9HPjgRUnMqr9 +gPAs04qQPiKW1KQiRicMPYB2SU0eaFdpskpO3iGqVayT9duPyG7/eyumbDWP +usemFD6AiVboVpnORO9FiSkfCpbP7qxcp6p8n2lvypEIf081LmiRVe5tLO3Q +X2xKv59il95sHbKStOgTPDFHYJ1UWscimFNpHVkqXTrJmpHgA89pZW10dYzv +nU3Q8lOsgNmS+UkJBGgTXivB1WOjSsW5iU6IlU5iBao1qlICOBwpH5fuG5xT +oGVQjDqcIexd+timEbTh1fgvVrxRMZXYLGnUSXF3tVwpW1Gs2VsqzGOHV+Uk +MIOvyUHyPumXYhy6Qdh49UhqMv/aWJQyBUPlMgXTnm+/EVL+g96Y9CnV8c3r +48WWBNnnM5n5ZsSHrCU14b8Le6gUgTKtg9a+jCWRjqcrreaNKOAQSxU0Slpy +HFygXuW+mDTkdVoj+tBNy2T+svouSpkbgf1XmbccWtINEYMI/eUyAXNA31OW +Juf5dbml33njyxfz44bSJtTUgbcjS7C1p8nqy8ehqLJFIyX2HALmnWoDHI4v +wV1JgL6S9hwtsKcUuPhSWRWD8cu0BuzxnI/5vLyz5bhzgtIZtYiJe0zv9UWs +iA3TaFNN5/AiWFFJmK1gxSZz6ijSQJy6xcXFWwMDA11RpB9042IiDWIZ4xaJ +IT9LT5yplw/RMcjzb+a9+QaBUadl/NoXFpI79IqeQjGyXy9pwWGJxZcsBcVs +jRFv6C4FLWY3Kn+DG6aK5LHR8kAfBiviYs3OJJqv6rN47lkK5Jue/Dk2591u +kEyAQSxlzipozkwuXo47oWXD15eJYyKGHXDnkvveeGe26SZFD0wnIozi10oa +dBAMWlBzFit859msQXcMKgwX8Cs0MqC8DJRwYiO7o8kgRvh6afV5bVgkVM5n +LVnQOoot+QI3Oiak0ArW9V7rzxhLmgy7fHwngVDRordkf4QipzbFbA3bVLsD +Yey+WtKm/eVsmk3Q+fndBr9GAwr9OTZF5oQyLrC1MufQNZpAH6aZFnOmVLQV +WY+cLC+gvWlYyIf7fsiNhokcLIcF19eNWRsaDS01udrw0kdmaFUQGzYj3De1 +IeZkWMtT26tgiL6Sb8PtzpPz3oYNsWFRRVhqQw3iY/6NaRVrES8GGxWzYxwR +TVrOeE3pvHb8CYwI4Sqtzi/ZUA+UeDidytqwgMXGNnyhGw2zGS6HyXY+Y8PP +BZP7NLh83DBdlr0NG2Ih8lqV1KZWY/kSIaRzi5xNcXAgFE+vqP3qwXQ+PlAv +Ybr0PY3lYnKtkZcCrWZMF2M0KBMCKWtDwXTNXC9JTHg4chadCNZzFZt5opZs +uh9zo2EcUrYFC9H8XWMwTWnjFsgkFa3yWuoyGBVx83Hqz1ajutvck2ZD/BmI +sV/rUDes/RWVvphLF8vraq0qUBJ61WllsmVs6EOS+oKogKciRNSEeELp5EQf +dCCQjbpXWVoQlZKq8Tw892sODEmJo2i6nuGcF7mhMSd/mUamfMvOOg2oMzlJ +jMjlW6d+lmknMOv6IvyyI5Ed0fT42PmRu6/9wbuOgPGGyHgaX+VHD8MtCjcc ++IH00PI6mkz0GzmsEZ2LKBrWKLIUBsg1Vof9UdVSGBoYDif9aIzGcsJ+Igz9 +mcyCZ+RHrKVMGlosZWqwWt5SdbEKtnuKdcHEfhrX3/Zf3Hmc4mb0z+1nA7Qo +Xs+zENRMtWRqYeZwG9xKWUNtYE5mkhYtY2CNY6dYT5MX4dbgG57nYkyBgZh9 +cmlcTgDD7lVin5solGHtY1LJYh/DAWl7+9Qi54BYl0n2VaQNwXVdAoN9qtvf +eHDlhoSi/OCCXZI2Zg2RsqEuYV6KnyaEHtGPik3AmczaJ9uZSGPWWu/kl1aw +T1dWuFqWgeWyRvYAvuReMyoTsl1JVyyTEhZzmrKnlS77oE+vkRRUk+DzgKi6 +30iftzsHaJ+++9MP3qIPcxgi1KKx9r4mCLpr0YaiZoFMPZsADuDqYfhSc/Xa +oPVPTgxaQ2KYW1ILYQqwjha68Zn8pi6dMPL2TC0WMuoP1kImuSsW4mIlJWOs +egtVIx67WggzRwNeB7HmxGEiZqrRhnTjC6nHi+ZpZNxoCj62C3LtNPYivFGD +pY+nt2vS65zAi3O6TErWp2dAWRM/6JOriTRo4rO0ldugQx0PC9etjJVOIEXK +Wommnc/SipWOJ1BntOatVIn45LNW643ksh5b81I+qW/hFH6aRi6LHlRMTLdK +/00XyQorZ9WzylmEBherjgkMpn4mX01pgcE+WVTTHzOoqaIb4xZaLTXClW2p +ADLMPXaQ0/QSMh85HVGL7HAjBbiBkLVWKeFpQHFDq4KklpIsZIpYVve6ezfH +88Uwe8/EIaMIY/akUzWtb8tEpwetCfzqtPu8V0GnWqYhUYz47lNtUlnTRxBb +W+1888tr/HBia58licqnPrnRufSHm/pIR+GDpCb1xfdvdT7324fSx7ZTmkoh +k778oV894tMbKQKcTlU+dO4tA505hk4tqxyon6Y/pV+SfqF+N52E8rQDRS0r +RbjRDkTptRtPfGTr2MtefDeckzxGOaOtVVG6e5A7PA8YLZAx0GQZBiSYpdIX +2eUHewTkCZTp4qUFVehMbwt7UOOHpFaZCRtdTjIssVe7+zUhB5VA1WwY4PKP +wsc78kiPLYzO00jUn5RhpD9TqVQ6x3ZIgfJnX2Ft/sK7+ZG1+Qv9w9j8FT/I +v5V+JN/mjD5USXM2P002vy1ptPThltlGVh2LlmFN/bkuE7O5jkx17uLvrHgc +mYwryjpOl2NGaHoOoyOcSkdBfg0gNgFHBZkALc9Cp9+l0vu9/i6FrUgQcnp6 +Ohu2ciB6jbtZE/wQEJkKLQsizZ1zho7DJDUmm1Y9EAOS6rz3kqzZvS9d7/zu +21LD/iqp4z54WkUg3eLED12znjznlzFa1nSFc0Joa/rQ9fDbf7ril8l0yWz4 +ot/EdiTCuLVmC4dBHY3iY13njS+elqT/Ayuug+pk1vPUgHFvRoUiCFt/MLdm +KLNvUSikHoFBJI+gdQIYltmQX711oTdv7XXBpCczy8gNrNayCDA5d/GImBKj +1Vqb9FwTI6RG9QcIDDxrzm8EFK4ud65kg8w1v6bL1JvF1CrOKc3KkTuS03zL +Z+XwEMIuy0hkYa7KiY/yt3lf2M44ppTNUzEypT3kEMzYArtu+IwzEaOKvsJY +wGTJNZSSQAnVFj1XxQJPfVLIDU+EKCQy9kdBruZ6twXqY50LY1clzM/QTZ0z +R+zV5CjmxDCXlsdY0Fwaxuz5u8ZlLwSXsqi1jVY3QerN5bdh9HO6l/Dov9EN +nYl8yOgbkQkZ/UfoiVPbGmhMgGlyiJ4rojxOUo08I9NVC/raIJl+DIRFbkZO +02bY6UHkgtQZGccsplc91tKhHtwCzXh1ScprDxHdUXC10V9W6RYkvSupOhNl +ovXAMrXcSNooxkJYUC7ExjqTd5bDGkeZ7tpiDSbynkRgrZ3uBQ5O6c5hmsgg +1X0cdB9o1O/KrPk46okW6WMvZJNwVJUFGsZGCVaAJquwwwevSZOwkktswoQP +aQ3CAw0Hp6QH1ByYoJBi9YvuFk2YYiGyAFkTmISxmMDrQNPgH+ZnXm2ch/X+ +Q4np1ID78ARU5fccf6VKqbYxlWVxYn81Mo61Ekl8zThhqGI8jH9/UXTcVWi/ +k0PLXTxj5Sdfe3Cqc/ZNBcG8t7jbNIu72ICWoFNxG5iEr9hgN5FQEdEvjogN +PBlKu2Vo/wMUxJiEeumeNqgB45RXtI+2XGnrhuSRgEjhc0l5CXcV/8Nz/3AY +/+LodzUy7poCxNzSBHhA59862jn2vPyY0D9yd2wO+NJ5hFYpX24j5vh8+PjV +jMtsym3UHLv3Psc5OtqOQtsBoFDFFBS79jSHSo5QikLpK/VQqdjglYEqXmK5 +ctVbxiPtYCAlFQe3+yJDrcPvy3uADazDX0RG+mV3h+YcK8Nv5ALs8D+MmVgZ +flMVo8N/3xvu6LzjF+7o+G4MG5Gc3jQUtfUc/obMCahTw8EvynYf8bS+/jDk +IWBNwxoJWGvKB+UyddQxSDYEo/7w24uJQ29zN2YOfjLqHaSA2VHXcDWfC2XU +jZKtjvp733qEga9Cie31SH5uBkqTeo560+V10qFTCcq8hDUhP0X3HZEcUB1H +vUfHBUzkKNPuMLymYZ9+GPVeFWD3uxszh605AS8W0h83o65p0NOw8ptSksPi +AKUna5fofCYkRtcy5HVSm1UBjXTM/bjX88Y8YRqHut+JLvmUk6HlPicHzb8j +InKJmgKPXNXg6/dMB8TE5dQUmMXpi5gi79z7awHR3ukRU5iqd2sKk/EUUxjp +V3WEKOrKe+0zTH7IGAP556J9cDN9LpwAfZhB8/oU6alpBYIPebXo6Xv6q5jd +OQpfp4cwtEksjCm6+SophbpQahNM29RkW7n6ocnO7kv6o8rpbJB3uXs2BzEx +iKlUF4N8ISxgNzLbsCnjUINQSIl32z9lrm1GUh2lW6dLGqSGOTPUaFvOGCSn +mDz7q3Q4UIP4s9lnF03uIxYPFC0XVXrC8IW294K4EqfjyEV9+6vSQ/FsDrPm +N939mpOaGMOUlltjmGymGINcXy+mqsagIzGP1qOrEfFzpINPlTRGBbNRGOlf +KDAG5Jdjv3rY7dbdmeHBiEUioTlVYULyv3a2Uiu98zVjaAU9L7MR3uPu05zV +xAimDtwa4R5MVooRTPmEGuFbT8hW/Nn1iGI1Rocm843Q7Fxa8UYYibj2M+US +yPqrGFw3tYMY3+mXNaWgAXayELHbITihUaDiOesDVPJws1plmO54+J+Rm8MT +moz8NazUtiOvH+fNQUbeKI/qyFOg2u3FmxEZaYK+BoikUv9W+nyPdiCEkb8s +xJREdWCx/nayYOQhD6tBaYxnr2FuAntN1+GQkNdrWpv2aMKVDg4bMPKFRJd/ +7G7OHMZED8GUJsjIf9G9ZSo05ShtShPUL2V6y28f8n6pVXZGoth4yZFX5T10 +M8dg5Auyi1P+NLCCSQDaZJXSUoHxzovnaSEB/QXVK1iR37v5eRHM3s6hrTwQ +BtCfvmYi687fM+N9VsL/fDiT8TZqnDreTFb5VYf7oKStGstENFLi11jJ8Y7V +PQ5HxjuShdOQM9bCLvvIv+sXVNxBWfn+vnjyonRQjp91u0INv+duyJy6ZLTN +VmtHW5MtvKLLaK/oaF86N+NH25NOjKL1IoR/NAszWnK0VXQY+9YOlEt2YWGF +hqf5NdQY1qpvDdJxx/TfW/GkfOxSutA7qOCPtx9y92IOWjLQpibYDrSG2OjX +ZKBrgY//rnRB3W/pGk4xBeZwG0XphUxsh/LQI2GsT3SeyR9rTSxiQLNZIqGl +AWUMRM+Gga5iQM0HlMkiXJerbjvDfw6GWCMIoNZs+AcfdrdgDlAyxKZYV4b4 +S/TEiRO3M9acuOObx2hQ6bEtA0spYo7UP9MCUV9Vd8WqzuGSA6sZPwIs0OB7 +pqhWIgbhhP+opKhioTKJVPpzUeq3aLCY6wBTQCNXscxR9UF3T+ZkNBNZSXCk +M2kTWTXIiC5BuM/H0v3WIRl1H59/pgWauqqvikqbQyVHfUYCBdCLy8eG87ay +dbCURjYnwoj3bAWrzjpyInT0sc5OY517/9V4cXHIx9yNmcVZht5smXbodcFm +y8jQO976Twzw0FfpeUuGnrLjGiroFjlFwvRgyaGflRWa+yHde0deKkpDwV4L +53Fx4bNiDjkRMnXN0cXW0cYQwCg4f5wIn81RWjnv7sU4HjLaxvmzo20SIzLa +gYW+z5nB/damjDax5DQTPtw12kh/7r8toAfHQddoun2tf1EuLOrGDZYd6hT0 +GgLGU5AONdbPDMFQRw74IRULYnD+hDMdxtMTyl/phvrL7i2T9JBwMRPKOQ+4 +z52P9lsbMtTEU5QEeETrE3nMzTDUxyIHzMxK3ozmlzQMnK4dGPrVwuv+QPGI +x7ZoSZHYlnriku0zsa1uIYVwnoTyCjpxh/IKqPfzpxpR7zPkcDvaJscho00T +wJHD9/kEs99al9EmFhSv0Z/ciGhvIh+5Uez8PWydv8Gi0kte0TGApUPv+4c8 +LiWcRUMPUSxVOsBD0GHwY5Ti1Jc5UGYS3uGAI9lTs1rL0JsN1Q79KVnBOdEh +Q++zezf2ONO/31qToSeeLm9X79+KKGNitZ8MvV9PYOjPcx7JnOeLk0kxuSUd +fmTVVLPDXxCyUmUCTObp8COBugrDX5jrFs/a+Cky/Kd1ze4efpPxkOH3DOmr +D3FmIgx/SHijMOkkhFNMnV5qeF1jYPjPqX8SDpSNoprIJMZf17ohI8OtIizN +wt6F6eBPR/zEI+JqKt9GDz/Hfyg/oS2DaA4/U2FJ8WWRdsxNakPG3LdauPCP +p2m122+tmqy2O3gGwdCJSCClnj/mBvKDsrYTnAsksTVQi4V3GjVXBh4hVHfC +okiVKtxgsyMN0NJAv+RHf7Cz8/yl3FPmV91tmCOQDLSpapSBvhDmws3MJurS +efdP8LLOA70iA81xWM5ft0DBU5UesRy8Fhlo7RuOyzqe3wvyRcOwiWpgix0X +5WAQgpUC1iwRp1IlGjgZCZ2s+8DZbDb30ocZ7cfcvZhVW0b7Jm6sdrRNTkJ5 +BUk4eibskbcjeeugq6nSi1gIVy052s1yySANI2JYi6th+mBD5GNUJgqbF6pq +RfyVdRjtXqnqPXcv5uQjtQGm4vDvm9HWhfskjDazUjkdt89ny/1WS0Yb8tU9 +5BAr+YvIw7hw18tlezTUgiETzjk0fSikmhnjbL8dckI08qoHIKGX+THW42Xe +wf6fuDsw5x0ZY1o7rsbH2KQZZIwDC3WfD5H7rWVIRFNNRkynsI7hFHqFx1f6 +d5jFuag5My3UksVRTjZm0dhHHBSqhIZei1rJbWT8DXqtBVnkky+L99/mIf1T +O0Y4pKbAT4b0K+4tkz/QPGeiObN97kex31rKpJJTt8+pBFJkW7TIaqgSSMPp +RnMIR5MfPbIySqumj/FC+5vrrlRgGHCJv4sjqAxRPL8sFJ8Mwwj+M3f75qwy +4V4zG50dwTPiMHNqTEYwMET3udnDfmsxkv+dzYwgsyPO/OevdppjjpYy4Iev +R0pFY6GYzFoIw1bFAFJSlVgo/SyZce/s6lJKP83C0LHKQXe+1g3dvwho8mcN +GTrasXxJlh06E96XodtNNHn1L5bpMLDfWohkbef80Elk6ORXP3CoubOzw1/i +1sfm+X/zlYWirIhGOb3MnwaQhsX1jEl6amhCj37pyndURg6FI6YyIxfrwcwj +d9ndtjkmyMiZOiQ7ciZeLyO3oyN3/asLCe/w85Gs67wfuf7cfbyx8/znP3/v +JT/23G5f/XOLPlSJB93pkMbrGdHRUCVGdHQI8QAwXjZzuu8u3Xj9MoSGRylD ++NWAVU87U+F5HcLLn5ilvx+GkFxNTZ+GIWzkbs61q69JJyK43FuZ8ymRkCYw ++QnhASvv4CIznoGK5HcNhKEbP1I2AXrF3bNZ2qRphko480/3mmHTCjgOzciw +GSIke/JzkSwoMwEYjFK5RhNaHlWqakt3ZVoe0/ntHxTSqcZrermu19X01l1N +79uO+BLK9OibuNLK/OOXcPW8eAkGc0azeC4I3ChbAKnBahjkiCl3pgw1+Kq7 +TuPxi21MbY61jYm+y6pAIbnOO9842fnGI+vkWj7EBdPnQ8H0kx+mwf1AdnDP +v5sG913bQq7kwXUPXzCdns2IYyyPGkXaqlTyKsWv5N/Ko0KOGPs0vetl5eHq +ZasXnicqNWC9s53HZ71/dhjcBU2cDGWtVxD3GYKVR+nEaj2lKtEJognWy1CM +u07H33DXaU4Q48FEF+LWM9F85dzUarXO9vY2D93AbQ2g2IMtkxqM04s1Kj6t +kH0TthT/Dk2sCj3zREsnEyUKcBJSFLsiE5Qi2zBvmVRY4TntgoFCwAXKgzsv +ntK4Xx1moNpQoxiYjukPznPP8NFoZBlUG2LotB6xYaQlL9vwv3PXaU4o45EV +U2z4NffWdUkT8J7jioJrdKDZkQe9PuY+uletVjsvfeF45/rXqLrjW3tc0Psn +UND79TY739OQHiabefknqfQ9hSFVOYiP3XXXXXt/9yV83Eju9GybRpgYjaIe +6MlEZv2iiIWOKJ5OKreRzP0f3KWZA4qMqGFW2hE9L/sNlu37j9K/Efkc/Zmd +u13ea5qepyIJ3nYnlIaeioWiyWXUU8edkThQFUewoOVRoiFNpEAelbOg9lcp +aBrrhux/cldlTiQKH+RB2iHTED6vM1yfXmEHvLodGbegirTPyu/7rclIdlZj +cunAnekcOMErN5NrfibLyUNHDdkvRQOmYRsNSWIo8wi4gP/pf3JnZ3l5OX74 +ve5uxpw/xsKU9C6gHSgTbBdfJtAW91n2dr81kcmf0pIn43GWni2E6ua8K9Dx +UEJ2cz8MSl7Jnta4Y9HpVtlM51+5OzJHCxkUk1S2g2Ki4TIoobX4HvdV3m+N +y6CQIAE7Tenu0M4dlL6uIIBE+466panb8n0wOHnhEi0/xxPren5i0uq+fcvd +mTk0SD9AU5DyKncfj4ax9IuXJOgD/e/zXMi93xqLJCZbuYNj/RkVcMMA3SEM +h2JzpkpmlGKFg2s+sLda9kD1v7nrMvucjI2pELFjY+LNMjahY/UHZigcsd8a +jWQOJWJ3qtfYVCNBNg5e9suBXXOnhKSClu4aZ+PZKQVO2pfw+iems3k9e2z6 +V+7CjGsug3NKT+Tdg2PCwzI4SLCjHEEYHK/Tkf4kkaP0GLNcODh1yMqpE7WS +daLoQKkOVGZQlHiIfe6zxMOi3Ntfu2syTq+My1lkxdlxia02yI9z4zIi40Lu +j+beFvLH5Uxnb96PS5/3flphNKoYpPDhMAlQmHAYtg+f7X2C82eAf+0uxfiP +Mhx7uCDLcEiKh5JnNzLrS9C22OcNYb81HMmQzeevL6cQJlp7o5lBHycchKBX +Xm8MraZJB0kjNuhfI7Uv419fSjIkyv8r2P9WZnyu4S5ux0eDrbjGhM66+6xg +u98agpwW1xNo6ww6dxwUj48mt7XOjOI0/M5AQTRAu06k23olMi46Vuo5U8Rr +HMaqV0bqlswLdAPFfTMbuR0rE12VsTLsMCafDkYyUrMlx0p7n2HkZDo7VgVn +72yFS+rhJHdABF/DXMMwVr0yS//WXafxBIfda2Yu/mdmrEw8VcaKPEwfxG/T +80AkszSTP1b3dy6GsdLsPVJxJ7JjFTvjylhplAnr/xVXyBUfhE2+kHL4/8rs +wcVIBsqs4TJQF8O4et9IaHMEPs/MWqHn/ki+aLokqIYgkSHsWcfN1Dsr6vE0 +5J0dxRGWiTdhbAozQfz0AzJl0EOUATKbvx0gEx+VATL8qVUaoKYMEIVXlJM5 +VXKAlJ6A3T0HcYCKjqUaKvHLP8CIPqPhkzoMVWHmpwOXaRxGGaozer7qHioT +rpShCkoGn5gl13W/1YikfyZLDpXW1mH5dbPMUNFKFouBHI28VoGhKlSg4adG +BEEyVGYq2qEysUFlq+pQEUVpnYaqL5LvmSg5VFpHh/UufWF9ih9TleRbFOxQ +Gsbee+aKTx38NOAuzaxAMjy09HhikQzP4+4tDbvxTzI8hlhkhsfJ9GwF1lyJ +4VGWCh49qtnhyWu9mh/aaHKa5vffPMFihcPDw1HXmp+G3FWZTUxGxlNlu0fm +PNZCyMgwCYjL9vdZMW+/VQc+oaZrRkuOjBZKER50w+7PDErsXLoU2eiRFNUr +RcJP4jEaL1IGynB1Xm0G5VRk4SEH1XN1Num5BoQ/rS2Tg8i5yKDsppfeNSj0 +Gu3OdMpowKDk9f1sR3Z05C71EjfhJ2F9GHdx0L1mONd2UPSEikuMIdds0XO1 +010ENpyPFDMoPIdU4xjP3tgBrEC+fDXyqyuRwYGQvmk3xE+xGhYZHLMm28HR +Y+oeDI6hyRyi5wqcOzRSL2eRC5QoLhoc3qoa4sJRqE+2l17ZdE8aIkjp7o2V +mb3C8vwkZCqzA8momE1dRmUvfNxPOyEkhoZ3+6xP52p+nmlpGL70gAyhc6wb +Cx1Es4fSdBA0doGHddXmI+JUYZCdn1RdD509GQDDHLYDYEJeMgAnR0dHPYHl +sAwAxtIHSg7AQK9TJzkthJT0bjU3gwVJc+CX9PZ23bVYaroMgGH02gEwYS1l +t999992eh6IDQBlnDZ73lxyA/hDa6y/UBJaiZH92pM9KxNxo02UcWRst56c1 +uQxcCWQUzHJqR8EEsWQUzr/yla/kUaAyZR0FjZYT+6tZchQaYRR6Hqgr/vhz +pwwFkmfHM0ORGxvnp013LcYTE+9sDLfbE+7SnwhY8QEs2Yj23vCGN/g4pw4F +ZTo5Nn5+IxEXf4/SckVDUUeHq6gwWAMLmBC+w48NVuX19ki33YUYv2sgoP9q +fBxMoErGgRXIBwYGqGeWjEONsrwuJvSBLfDELnWeWc42nDND0eV75pXyNjNL +I20ZOk/wwKcnohsPzXD8O5c2xE9HI0CQQaGl8kJ8UExESgaF5s2NRqPROXVi +mJzifR//fvd2KNat5A5LDYclOyh5RzsNAqNwsQ4KHu2Q9NEr/s1Pz3E3ZdaK +fvea2UftuOjpjpccx1yrKQVLq2d1aFg9+pT+xM97TNTPA0vGHccjHA2NHuFG +YO2U+gY/JBjfq2eGpCgGzk/PDeD3DpcMiaGGypA8GT6e4V3UNC+nQUwdhLe8 +TsLgihZaVfOWkou6LcaHBI9tE7CGqjOeDeVmSRAZH7SrdwE/Pd9dkPG2ZEgM +59MOiYksyZCoP69Z/CNSi+qllp3CAA+HsNtPdB6b9cOA9RR5BzUszlK3+w7B +Fa0e5355IxbBtnL7/PR3wo2czEDBZOntfZswkdy3Mtq1Y5DeN3FkOIq937rc +2XdrhTCO7uFD60U9i9uzWEzyUz9J7yuH7wiYmiLRP37PRqfVauU71j/s/rhx +q5ruNUOy/Flzyybc4265rlJwof3O3qLfRSQifZWTz9rncsi1mb3ob7tXfyhV +jtKQDe0f22Xjyfz0IzLV0H+S26XJfy1zu/8kGN/vo46hUFcljdAe5vPz3nl4 +8sObt374nufNXfwDNe/Asc7Feb7XHuel5czSTxN9s9hTzviIO+6ijWPUDFDd +i9+jEaWQe9SThcmSyz2qKR3e3R85/r9/rrAJkB6QfQr4ovSt73b6KAYUCeS+ +2F2scXbk3sgYZ+P3dhJFsuXedCHzSe5z90/oedDcm1DOibH2MJ0cIoqL7ozL +vlv7toKtP+n+gnFT5HYM5czejomEyO2g+BnHz868ecwd+qOmqp34V3+0wFEc +8cz1hIou1yLcS2EpMT+9zF2ccS0kmGy4YPZeTODC3Usf5gw5uXzvS0aIGOz4 +nzWaXeyOyqPKfNEaO2QPvss/auW4wI0sF5jWqWv/aPdOXJuPdx6f8WuzZt7J ++JyB/dJCgvI8vVSt+ck1cLdeh4yW2WpktP7YvWUCGi7D2mdii/L3Opubm01C +aS2PgLt773N8x5/UPTFjA2zcd22n1/iBdxw5liIf4GMHRA/3mTTr7UVKXxHu +0PscMiAmh2wHxAQ43IA0zKkncWfHznO2BulI55IPK7nzorrzLz+z5G9MnSk8 +r6N+ealopyt6tU6FuDqGyPUac2MmcCEopDHwYXT3FX2G75S4HZ6Swuv5t7j7 +qmN3euDGzuEjcIu9Uv/85PL61omQW6Tr87uQvUWd+gzeCv1fne7YGb1htujE +kZ+doP4/X3Y5SupIs9913NrpPDp387//w5YiUW8QvcPByA0Whh9PyMjhNckN +koE8p0pu8E/cpVwSG16QB58nHBLO2mFqmMNX4uqvXIzqKwtJPlzr5DR6r0KP +RXrLKMqsR6yeYr/89Fp3b8aFkPs1CmLmftn+fjK61E/zHLZNSEJvnc7lj6du +39OtVu699XV5h3LO0dvTiAFxVVF0pHcs8fXueo0XIbdn1h97eyY64G6vYT6e +hKnfefg9U3Tuerq15G7wGhcdWQEdvEHfh7v7FGN9QdT36J34/nn3l4yDIXdq +th57p+a8Lzk8E2StuNdcCvPtE3Sf7m4X8u/WQzWcb0IwIyxF/T5RFwkDktux +Y+/QXb91O2S9NPuG3OGfhpv3ph+KfIXcoVMQf/0I32GVnudK3mEtsineAbb7 +6R/f7jz3zvUCh+pkxE7ylwxyX2vuTE/hfCdDkYGQO3P5xJcP8p3V6HmmJFKR +FaVLzmG5M8oWY3SuWq1GonNvdt9qJo/uv7jk2Dsz52wJetNd+nCu1JbQULpK +i6e5pOZpqrQodWcN2Ay1UHYz35GJe3a/FOxwMmM2s3/YmzMnakiGXs3cnEvq +tfm2aNV7ujVR8uaakQVm7XaDZafcF5udnv8Y9xr8B+6W/sx96BqemgeCDS9k +bilUNDzNdVlPtxyztnqDxVYu59+Scs7QE28XJ1y7g133RWwjf+zCmyCz9lpz +c+a4LDdnXAG5uaB1/M+5s/jTrZFgr8KbG8gsIBQDXrpdx+VX3BebWSV/zCzo +9ubMeXnAm1eXOb0lingM0C0N5rpj9pYGMysH9WtS9YMIbzKSBn2H+1az/slf +MiQTez/bsnKc8feT6cQqxtKx45wYr4z9+W60ubNhHwBASYLe8ah3uu8y+3M1 +vOb5IXZmqefMJpX7MWdslbvR+6HE1hDdjyPWVq9H7melszd3Q08+Gm3X+jv6 +aRLurHcU6jfct8Y2VUPykDu75N7SAy7vVhJ6jW2AgYL/dMvdWT2sGfHm2HJn +SjAk71HXjDG4s0K1QH56d+Sy5M52UcjE3pk5qcqd3UTIysUGIdinmbnydEuy +KDfT56zG/3bna/PX9c5UVBi9xWG4s97hqPcGI/h9uRIu/0z8zsxRNRY7Fncs +6Kw+zemcpyVB5G9MPmcmluY4YuytcnGp97lvNfux3JRZA+xNmZS53JQ5rsvF +BsJ6uKmYpcxNTfrVonG7CTxR4TcbsNwNTSmfmpG7+afBot5NkqiKmYVyN0Ex +VMFHd/N08d1oexMMHVYz99XTsRC1e7MLy32ZJcTelzlxyn0ZMSG5L03DhOWi +xH1Ny54FmemsV5GN+sANfYC/sc/svGRNWelfb+7DHC3lPkxrHbmPQNR+fNFt +UPH7oHXBr+UzYov/9TMuJXjs70wXh3N+31262WTTfxpXs5euM52tJpduYgQ6 +q/XSr35mznkNJS4dC3bQQRgfH7/W19fX7e+cc5c+lomJqtsply5CSkZbSk7F +hkyljev10i/8Dmstlrp03S176mLx0x+6v4dQ9yuuvWhzvpOLNjNfXjNnc7c8 +pZvj0+nm+FT+RY8Xb/GZi/6Eu2jcCM/rKmsv2hzd5AJNuxZ5TTMX4XQTH2na +0f1Fj2Z27+KIyKfcReMe53tJ2os2RzIdVTxJ6+gncJKu5180dUXybshw3OXo +1l/ip4fcReMe5rMEctF/Tk+s4q/94nAOyMQMfFk99OePr7/UwYwPUbzdPuy+ +BzcoGsSfg6vMnJ507cWwvVwvn3a5mbCGX0pcr7oHPQWG+Mm1j6vpxqN7vL1e +cyCSv2ki73K9QVdNA2IlrjfrA/RMlTjl3ppuLXoh9pLNmScWf3CX3LebhAMq +XbBerq59eKUxfZKkaFd3uog13Ul0S5MrdfK2dZqgdBW0SR+Xr1AdAHLBLmdO +NcYVdXdR39G7uP6VhVs64KZxogk8lpNY4SenOlDT2aRpWbkFt1XWzsq9XhBb +OYexPgYv0+MugAr9pev6R6rumQaSdrAV+kkKKM2JSEbABNUbMsbyXbe+/rHZ +ezp/oRQLvHl+lA4dCLNcheV5gbR3fVUHXewld70CL9ODbKNr5Wl4PV3g+bXr +esd8we5z5rRUDSORTQ0q3E4eSm9YmBbmlgskTMKtAqfrlu5K3/utusvoPw6v +35IRJgDMyefoUpKKG4JLCfyT6J8eq9jQMgQmZtMMQ+D/uc81eat5NvU8Mpu4 +eh7h1v8kjK3vLlvq1uk2LsGDsS1ZKfrIDfi1E5n3LsN7u/SqWN0cuuSWjffv +chHs9+ncwfBDuC05xdFE8S5s8W0JcWsXXqYvcbit7cDL1xJTEec9SE2KoIsg +n6P1IUJhdrHfhuZ19UG3e1bDO7tlrvoSvEyuQ6P703f5Ye4zp6b0nwbRw4V9 +SGwVuTAXfHPSUVWUjkoq9Fx1WyS50LvwcJJIdZrW9Nf1wcs4U12SGtnqPDx4 +cJP6ngyEPng34KlaI8vyDpHUb8kt6YMdH/ceI+i6uvWlhhOx2wzDeQ5ePhmG +85isVeqZadg+DOerew2n447SmOqjFgaznh1M/kOV2x/RGo0oZ6V5/JLaNRkZ +ffQezNqN7K/wN/HCpBZKKvwnnLrTw3I09FblS6ufgUs+radFB5LaySx23Cgc +k0OOPngdZByyf8H+rltCEv13stDYbuH0Gyc9rie6vtVOwsvngrH1uKtJDD1Z +BmNzpQ77C9+raXkc2IOu0Wg52gCP5AV4gCHrWUPe8BbjnuHOpDfh4T5w3aPg +KjxqwXz1rPk4vcE25NiLw98p2aVO6SRgR7NGd+ju1enM0TjQiOgjZrGHylhs +B15WjyvzMgVl3Npb11O+Or+8gBTNngpDtOoP1N6y/03GsvWsZR0k+RdrBNfj +4rHQg8fEgRvHq5yZkxpdNRpJbHcjY9cambt2M3zgezOuu6pT4bIJp3g3YNd6 +1q5uWaNh+qsy1jwBLz8crHkXvHzVW9OHPxjWgxG5PbaUCwP13L/quH/Rg51c +npq1sGvVsihhc9Vud4+qZZdVMFM9ayb3Dc70e1lE+HW0nJkcCx9xKgsTDQcO +Dw9du4zNdjOLo9hsJbFLqcxAjf6ckWHilaMaLqSKF+IM+PpyBvyPwgHJ2TPr +uGfSg4MJVWvhpJbdKdnctb/ZvshDfKKMoU/By2eDoeeSqKE1YkZX7vOR/Mfu +yCyd3+OmKJvOGfkb+nAL1/e4TVb+ljk9nWDVv/ksprMOByLkln3Ck/799ffH +qN8nT+f7tPX19Gu+h82wkmemZ2/XTOeT3A3SxYtqGlrV8Oqj3ki129z4/la7 +JsFfHy1jg2PwMric98DLe94GfGHeSbmfX/s++SL/3jawuHdSu83t6t+HQ8JP +Ly9jpO3EzohmfP6IkehP0o1yRv+FvYxUy6xn3z8Ho4r2kW3kP5R38R9yS+Kn +95SwI4cIbyUhcsovR2Iwp/zs5aHw1Iy/NX5GLbMsfv8ciypaManc5ik92POf +uhfINUw4F5SJR492G/qeYEyMA+8EY94vQ8bL5/8/d/TMHvLvyg3D2+F+6ajr +gst13Mkp9Ni0Y8xPL4W/4FY68t9PJ26lq+X+TZOioMnEcXqRRt+D9850/01X +0Zd80FmFrkqPA5q3MH/Q/dCvX6R/UPOX9I8uZg9+/6b/tdw7lqXiAnwr/cZE +uChFkX4p/dGb+ppk1o7jhRb+oZ3MH5oMf+i8/kbdfSmdfI7lfKndsJpy35fk +S51CU4PMSJh4WN4+i8OV+cKfif4Zd9//sbyV/MD/B4yAGU8=\ +\>", "ImageResolution" -> \ +192.],ExpressionUUID->"5076ae89-7d1c-4a63-9b17-8c8aa5ae488f"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"Plot3D", "[", + RowBox[{ + RowBox[{"g", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"{", + RowBox[{"y", ",", "0", ",", "1"}], "}"}]}], "]"}]], "Input", + CellChangeTimes->{{3.885879189176762*^9, 3.8858791893205633`*^9}}, + CellLabel->"In[84]:=",ExpressionUUID->"bc6b81f0-b84d-4a38-b226-c101d4ff2e25"], + +Cell[BoxData[ + Graphics3DBox[{GraphicsComplex3DBox[CompressedData[" +1:eJx0XXVUVcvbPgYGKhioiIGBgaKgYmAwKhYGBuDFwsDAQBQLAwM7MFAvBioY +gIKBAYKIAoKUdHqIQ3cYGBh8HH/zvHMXa338w5pn5sze+9kzb81+Z3qttJ6/ +urFEIjmvKJE0qf+/foj+lb6GT5irmafvca2t+inLTTcMMnRkXsXpdRqGwYRP +DvqZ0N/wFtPwVxnuaxVFeI+EWdV+Vp4sJrT/Uw3DBMLtPsY061ff78khodFW +0hTCy3bt7Ggt9WFTnVYW+lhJCTdr3FPjhdVL1kgi/5MRvnLKqisSyRu27FnM +aQ3DXMIvn3jRs2/9/b2yvN7F0DGf8Nj3rT0MHd+yrt03ullJCwlXaL9Ce5M0 +jO2KHzPcUaOE8HELnvs4akSw1CMt3/hYlRG+9WpLfflzjhiTNkvqU0H4vayl +oVKf9+x8pVt6XV0V4dbtFvaTSOKoDF4b8gm8tO36SdsUA4lP4OWT7Pq/q31D +fAJfZRc62KQ6mPgEnuHbRjen4C3xCdzkk+kY+fOCT+DRWjcm/IwLJz6BT1lb +OPV4WCTxCfyV65DZHQOiiU/gIzJ2GN/yjiE+gS84le3lZBxHfAJ39GiiY24U +T3wCx3OCT+CKeTNHlhkkEp/gD+MQ7YA35BN40vjYuGqbSLoOcIdNrRYUqkQT +n8Cn3pwmlb9f8AlcEndoebxZLPEJfIlEZmNhF0d8AvdT3TdC/rzgE3inod2+ +m6knEJ/AbQz9/Y2rE4hP4LErzOyMghKJT+Bau78yQ8ck4hP4cceLjSdbJBOf +wPPvDwvV1xXzEDxh/oJP4BiH+D3whnwC7+bWLVBeBp/Ar/rpvpE/F/gE3vn9 +rGB7p0TiE/hF2aq33vpJxCfw9l/2hskKkohP4GebXwpXdkgmPoG37vogUv68 +4BM47g98Am8+KTPG2T6V+AR+2LQmLkozjfgE3mhdm8TauDTiE3xA7jUc35i/ +4BM4xiH6Bd6QT+AJV/za3fJOIT6Bb/aYaaygnUp8Alfyzbxo6ZVKfNI8CLVO +kT8X+AQ+I6mRqrZ7GvEJvDj3wkJHjXTiE/jRj32v1bimE5/A+0heZJipfyA+ +gQcrzegR4PyB+AS+rHvGMnU1oQ/w3NAX4BM45B74BI752/B9YxziesAb8gm8 +5W59i2qbD8Qn8PBDM/KPhX0gPoEfc1iwWn7/4BP4FN4v+ATe1HXTWqMgKfEJ +PPj+7uIClQziE/jBZ0fX2VlmEJ/AJwQ6lqoEZBCfwP+8u7HBSzmT+MTzQc+C +T+DQFyQHOQ65Bz6BY/6CT+AYh/Q+ON6QT+Bvp3o+UXbIJD6B3545dKvUJ5P4 +BG4/13e4uyyT+AS+0nT8FxvFLOIT+MRFIc/0dbOIT+A9lxluVzTPIj7peVfF +jkg5lkV8As+2NP3q6p1FfOI5YJ+AT+DQs+ATOPQFyRGOQ+6BT+CYv+ATOMYh +7g84+MR9glfYS7hP4ND7uE/g0F+4T+CQwzRvofe4PMF9Ase8wH0Cb/h+ge9f +oVNkYJFD7xd4pcXWd5q2OfR+gZuv8XFXdsih90tyzvLHsRrXHHq/wPU3jLOU ++uTQ+wX+wGr/9KCoHOIN9wV7kuwhjsMuAm/Aod/BG3DoKfAGHPIWvAGH3ABv +wDH+cd/AG/IGPCB64xx1tTziDfi1+E/KZQZ5xBvw3Sm2cT5WecQb8EXSP+fs +nfKIN+B6ssPzjILyiDdcH/Y2eAMOuxG8AYf9A96AQ4+DN+DQR+ANOOTq1AZy +F/IBvAHHuMLzAG/IG3Dfic9HO2oUEG/AmxnuSzewKCDegJvOnba7xrWAeAN+ +55+2Xd1lBcQbrgN/BLwBh10N3oDDPgRvDfUJeAMOfY164NA74A045Cd4A455 +B96AY1zhOYE35A34ljctbzvbFxFvwHUiO2rophQRb8ArE3vdjdIsJt7QH/w1 +8AYcfgd4Aw77GbwBhx0I3oDDnmloP0Ivgzfg0C/gjewjLpfAG3DMO/AGHOMK +zw+8IW/AS6evP6OvW0q8AVc19at66VxKvOF38GfJr2tgr4E34PAvwBtw2Mn4 +HXDYe+ANOOwW8AYc+he8AYfcBm/AIZdIvnAc8w68Ace4Ai/AG/IGvLc0pXan +nvD/UQ9/H7wBh98K3oDD/wJvwOFHNPSDYQ+DN+Cw68AbcNgn4A049Bp4Aw65 +Dd6AQy6BN+CYd+ANOMYV+AIO3gr8mkX3q/fXwd/3my2chxnaUxn1wC0usgtW +0kr63c0NbzY6asRTv8C3/9x6w9IrnjWTbW5m6FjO7nB7QvKkSK3MIJtwnUVr +pzpq5LC1z36F1MbJqH+03/xs4M84s2zC0f7miB7PrKQyui7wsV+HaLnLZPR7 +XAfXRTvguC7uG9fBc4EH4G8lLVpuksZQ/8Bxn+if+uH3ifa4X/cRs8oMLER7 +4Lh/lNHP92wnS3unSiqjviGO+8V90rjh18d18byox/vC7z/EOQ3VNHRkY3tY +/55gaEPtdk/c6uNjVcU+fDrsZzOj/j9vh9+hPbXj9ccCTxsaOsYRnnj3sp+V +NIslqbnVuHpnE676YHgfQ0cZi1NT/uBjJXgA/m1Gh9EK1jLqF79D/+gXeMP+ +0R/uH/2iHtdFGc8V3y5zoK9VLP0e1+m956G3/rNsuh/Uvync1CM+LU5cj9cD +x3zEexk9vGUrc6Ns1sPhjqajRgX173zlsIK2e7aQj3y8NNneZpxuioza4zl0 +F/1ZYWcp4rN4Dtw/rof+cF30Cxz9o99ZRa02axhWMnv/Zj3UNsjo/oCPXnTJ +ztIrm3CSM5yfnDrbaN96vxbjzijQU/mbqzeVUQ8cchv1lb/9z49TeERl1AO3 +nLezi9yeRT9NBxzXk8cfUEY9cMh/1I9q4/6vRCLaox74Zq5P0E+hoWKRpVcs +lVEPHHoE9d+HP2pqUh1DZdQDh72Dftb2HjL9v2XUA6e4Eq+XXTHw1TAU7VEP +HPY4+lna+rWa3K9BGfXAoddQP/Vo5/XVNqI9xQ84jnGFflJyR5XJ7VWUUQ8c ++hH12ssS1RxqRBn1wDE+0U8CH2coox44/G3UX9XYGVEbJ9qjHvgZpZGJcvsO +/Rx/tKOJtruMyqgHDj2O+vLK1adqXEV71AMvD266XOpTQP0UdBzsqa+bS2XU +A4c9gPr2SbWTHDVEe9QDn7Ezsbyuroj6aXy0KrFAJZ/KqAcOuwL1X4Ov7Qmr +FfeBeuAeg27t0jAspX4y6l7ZaRgWUhn1wGGfoP7Ky+kjHDVEe9QDhz5GPzsO +XfaojSumMuqBw85B/c9XjTbXuIr2qAcO/Yh+YtruN7H0KqMy6oFDDqK+W2TY +oGob0R71wCE3IJdsUnqNK1IJoDLqgUMOQM7s7DtU6atrBJVRDxzzGnLD3Lnt +eIcaEf9BPXDMU8gBe8fqzdU2wt9EPfCG/vrA7S9uaRgKvwD1wDGPKD452TJB +01aUUQ8c4xbzYppM6VucmZgnqAeOcYhxPitS01pPQYx71APHuMK4bRs411JP +QYxj1APHOME4dHx5KDfOTIxL1APHe8e4SgwOzqyrE/4e6oFjPGGcJCS2WRRW +K8YN6oFDz0Jvws6BfoVehZ4Fjt811MuwC2A/oB1w2Al4T3jec4/ujFHQziYc +zxeuEzbQVk/o98ph4/Pq6sqYJH2rQ42rsB/Qj/ZwaeKxMCEP0U/U57KZQVHC +rkA/hT9q7spWi/sHP0f9r+spPMpmS05NrHth5Ul2VLJT/pJzNa6E93OSPtkk +9WEaD4JvecieMyPdVlvlcV/gm+3sFB8oBxGueN3jtDxueOaqwyT5PAtTmOom +j+sAr35w/oeTcTTh9pvyXsv98Ajp284dA+LIPwD+UjrGxlEjkfDf6md/+Fgl +svcpA1vL/fHFSUuPSn2SCZe8v1igaZtKuN9xrQ4SSRozCbT9Y2CRzjqP/3lT +Ps+Ah99PWeCoISV8+8cILUPHDGbu+LBS7qeDN+AdtkvCojSzCAffpfOjM3ys +stn05tfWyf114AOc7rc0N5IRvmNF48dW0lw2q/mwI2G1Mub2ct3Xuro8wrN2 +/ZKpBOQQntQxfpw8fpRT2bK7oWMua7p59CG5HgBuvGaRnoVdHuHDIm9G+FgV +sRGyihEWdvlspUbztoaOxYQfXfK2vaFjAeHn9m1aIPUpYdOlmbEqAYXsTVqy +s5W0lHDbJWOswmqLCMe4UpOlly41KqFxD3zAmoDpUp9SwjGf7lfmHNXXFXoI +8wDzAuMYOOYF+gXfmBfoB/MA8wL9AMe8QD94L5gX0B+w6x9vcTv+yuoajW/M +C4uuzT3bmLuR/oC9/Gvc9OvyeQEceulx34V3/jsf0N+2LgeuSyTBpFdwfeel +M/bf8hb2LvSVzgKrC2UGUTQf0J/KFKVodbX3pG9wfdkYmancX2sY55M+GsAC +nBNonqC/LI2Re6ptEkkP4frbhjdZ76iRTDj0W09X+yfG1Sk0f9Df0w6zlW55 +p9L7w/VPqyrt9VIWdir0Xsm+t33k8THMK/TXumpm/TwUdimu37dUctrJOINw +6ENdw0rHGtdMeq/or8hn2BBbPWF/4vqTPKRXjKuzaL7hdzu+PQmtnSvsSVzn +jc7lz67eAode9c2dl+pjlUPzEP2tWtzPQSMih/Qiru9w5fweJ2NhT0LfDop9 +pK2gnUfzE/21jbibXHBR2Ie4fpfWToc1DPMJp/Wi0C4tywwKaN6ivz0Tht7U +f1ZAehTXtzjuoWToKOxD6Od5oWctLL2KaL6gv7tB4SVD+gt7D9ffqBTWRUFb +6GXMv8ax7ZidZSnNf/R3ZtbG5z4VpfRe8bu6jr5zg6KEnQPcek37TgHOQv6i +v6Roh7YONVmkp2jeKdlpW0ufURnzbqTf7xc91V6SnsL8evt+8DpfK2EvYn5N +75LrZasXQXoK88h5x8hrXmeFvYh5tM/p5N6gqHjSU5gvaZ9e7TeaKNa/MF+k +SqddnIxTSE9hXvy7ePDKoJnCXsS88LfZHqyv+4H0FHhKe3x4ksIj4feBp24h +U3N9rDJJbsIvc/4U0lNtQzaNY8wLxf7+92QFWaSnKH6/o+8G6Vfhl2Gce6r/ +2edkLPQUxnPc9fKTGieEn4XxrGLYYn9YrdBfGLfHY14PUrAWfhPG7bi9PSQO +NUJ/YXxKWt6cbech/CCMz95+ExqXGQg9RXHu2SerT48oIR4o7v3jdFDUPaF3 +MD7f1W06IisQeg3tB147qKLbSdiZGIeD5t47YSUtJ95wnSMdMk2qbbJp3oJn +7/s9duspZNM8BN7rwYpF6mrZrJlqm3r9WUX2xPnxqWbqH4TdCHkCOQYc10H/ +wHEd9I9+71vov/SxqmA1f5e1BY7r47rQf5hnsA8xrzCfYAdi/mDewN7DPMH8 +gF2H+YB5APsN4x7jHXYaxjd4hj0GOY73ALsL4xXjFPYVxiXGI+wojD+MO9hL +GGcYX7CLMG4wXmD/ID6IcXJ514y7x8LEuEE9cNgT4Lu7l9uG2/Y3qYx64Pg9 +5GSTXwMzTm8X8WrUAyc/ivNmpLfX0PGOiP8Dh1+AMn6H9hgflevTNRw1qtii +7ORrZtmVVEY98Pm3Ela9rLenQv/4/RpsaM+mjnv7fJm6I5VRDxz9YDyu/7tM +JMYn6oHDr0P9XdP0Y2EfRHvwsK9vsqZtuoj34vkgBxx9FC/L5zF+F/P3Mx/x +e+DoB+U3bW2y6uoqWLe/y/UCT3t1t5GhYyUz+LusKnC8f52/4j2b5hHmF/ws +6C/g0GsoYzw4BZZH5hV4URn1wDEfMU/hl0HfAYceRBl2afz+kVPaOoSIODKv +B455jfkOPw76ETj0JsqwVxvfO3jB0FHEb1EPHPIBcgN+H/QpcOhZlGHHOpvG +bHLUEPFb1AOHnIH8gZ8I/Qscehll2LdjQkLaxZuJ+C3qgUNeQY7Br6TvyTgO +PY4y7KPF3V2fyApE/Bb1wCH3aDzzcQZ9T+sdXO8nNojv/rFYMy8oSpRRDxzy +E3IVfivsAeCwE1CG/XzjzNJYs5siXoF64JDDkM/wc2E/AIddgTL04ICnOUoB +3UScC/XAIc8h5+EX03czHIcdgjL06eacLbE+FSJ+i3rg0AvQF/CjYZ8Ah92C +MvTyzi5K7Qzbizga6oFDv0DvwO+G3QIcdg7KsM/HL/ZJtDkp4reoBw55BP0F +Px1yEjjsH5ShF4Ld1nfWXSDidKgHDvkGeQY7HPIE9Zu0f0045CTiSqgHfnjm +fXZBw4+F57buN8PxGbsbfarje81AKqMeOOQe5BzsecgZ1C9dadzWpDqKyqgH +rvdNOVHqE8qkkyZO9bUKYb163FY75BRJZdQDhzyE/INfAPmDes1Rr6wsfidQ +GfXAvcNnNJOvMxur7N1l6BjN9nQekChbnUBl1AOHnIRchH8BuYR693uj460W +p1IZ9cBV3gd3k0iSWKHN4hQraQKzPF3YKT4thcqoBw75CXkJPwXyCvXu8s8c +2kupjHrgcSOWjzR0TGO3pN+rfKxSWVrFaTPHOx+ojHrgkKuQo/B3IMdQr2lS +dL6ml/AfUQ/89I3fcxw1Mpn55H9bSiQZLHJs18saEaKMeuCQYxQ3fpp02Xiz +iNNCHjda6+apPFvEY1EP/M6h93+/XzidcuW8hqGMWXWNd5P1FWXUA4cchtyF +/wW5h/quJ4oUHZ6LOCPqgTce7TzRUSOPlZ607CGXs3MCqjuWHcqhMuqBQz5D +HsOPgzxE/ZdnumWuW0S8EvXAl5evj/GxKmDT2ShPK2k+q17TrZnDiDwqox44 +5DbkNPxByEnUnyp1mGV0sIDKqAce6KK3WOpTxNw+K4x21Chic7ua7AwbU0Bl +1AOHPIf8hl9JcXxen6P5eYhjfhGVUQ+8m2mLYvl6RVOPpLc+ViVsU7rTOqcL +RVRGPXDIech1+KGQq6j/arPK0eqaiMOiHvjulqnbNAzL2colt+dJfcrYDNei +jDpWSmXUA4f8h7yHPwu/APWRoTk7ZHeF/4J64LB3YQ8X2hjE17EKKqO+IQ57 +BfYz2gGH/YzrAof9jDLsd9jtwKGPcv9+Zv4fv4Dz4P433SSbtd5t3bqR5DFz +6X2nwFrqxq7uPNl4vZc3lVEPHGXon7MaRhsbSV4wuzM2fo4aQUz/2bSFGT6v +mOqxMRckklAqox44ytAnScZt3+mmvGM1yx6UaxhGMifPrGUSSThb71nXc5M0 +lsqoB44y9IOub/46Be145qP65azUJ54d59/xrDSZkaz/LInKqAeOMuS9ZKjm +pqCoZGZz8Pw9DcMUNrn/QAt5XPjc619OTolpVEY9cJQhv+c4mW42CkpnQ0qH +hFhJPzDJuXd7pT7pbGJnJ7OgmRlURj1wlCGPe5Wu2yz/DhDvMeD7qn81DLPY +tsVdOgd0E2XUA0cZ8nW75pp6MyObJWXq/qyry2EBOo3S5PFc9/Ws0iZSRmXU +A0cZ8nLIU+W/cn2YY5Pj8risWkHsKqlPHrNsW9DdcH4ulVEPHGXIv2WLv5sa +BeWyc1MTVORxWdsrNz7W1RWwktf/xvgMzqcy6oGjDHk2p01Foat3PqusdXG1 +khazlNlW+zQMi9mAXSaSgCWFVEY9cJQhn/6EV3w/XVPIZj2yHuKoUcZ0G49r +ZehYyvqN6/HULLuYyqgHjjLkzYYztaeUHUoo3oR5mtviS+Hp52VURj1wlCEn +nJZ2cNG0Lad5i/eJ+Qt9B73cK6kiWtM2m/QW9P5uzd8nwmqzxPfoHC8ZNGG9 +l3I2yX3gC4ccmuGoIeJp0L+IlwKnPALeP3BcB/0Dx3XQP8X7eDwDcQz4M3iu +Vxf/TLawE/E7/A5xPLSDn4U4JHDY/6tULToGOGeTfEMc5uSpg4/l61yQV7Cr +K3177S9UCSb5A7v3T8EnhzKD9yRPYJee/Go4y9AxkeQD7EanNfaxVtJUmu+w +6waE3JprYSel+Qu7a2xrz1hN2yyaj7CLAnL3Kzlsl9H8gt2idDR3qV1xDs0X +2BU9hs8bovAoj8Y/9H5lSdR+jYgCGs/Qy3vvz58vHVlM4xPjLnxbwV3N76XE +O/TgP38/A8+mdUTEt0LUxr1ZariS4l2I55351Hv8kqCz9L4RN7N02edRcEeU +EX+Kspz1Nm60+N4R/aEftMPv0B76D/cLPYjxALsUdixw2DUR/8y/bu8kcNgn +T2w3xJvdFOMW78V54fpozRfZ9Hv8Dv1g/AHHOKTvPziO/iFHcJ0D5X5htXHZ +ZNeivbXu1+Nhu7OJF7wH8I/foz/0Q/Fu/h7AP8UbuZ11sWlAjWu8uH/Y9Zev +VJQYWAg7H/XAKe7H5eLCgOeWXrGCT9iNnV8sWqh+VfCJ8TjstLeieUw2+Uuw +9x4rVT6S57vB/wF+bsVp02ob4e/g/rUMNSfopoj3DTv5u7dfnkqA8E8gly7Y +RC42ChLPhfc5Q69gsPtyGfNRPPmk27vH5NdfdB+7vsXqFywhZf/pnseDyO9O +8z/w74EW4czQw//1E69I8ot3vErfpTw9nskCdu+6VSzWy5ooLnZ7lJ/MnPuq +XijbnUJ+ZQeDt3E9P6QzszPPvXTbiDwnN8uOP1YOEDwMc1HuqRcjZQ4trs7x +WZPJHDqFBva4KeJh22Z+aTW1nn9zLseVB7qYdu0jYxOeeBTmtK9/X9rfrfNU +c9lyXj9h6wSjkUPr7QMu38OP2/1t/7LVXllvlXq/jPMFfGjf6Ul3OslYAh/P +hh0G3mxUj0vVrVlSZxnT5nY2cKdSZqTSRcam5Yf9ar4ynwXy67R9ojhDEpPL +7l6+dELLU6yXudTKwlYE5rOt6Z5Bv/yy6fqHG8WdSivMZo1nr+o070sx283x +ilkhbxc1LmJ9fWJNIvzEPOs15VTJtJJstrzR8Nvbxwu/o9bD26DsSgm1Hwa/ +YMrCzIiybOb3vJHO1aMVTIfjgUpeBh2OlLMLKyf/+mNYxo76bbc9Vz//v+aP +7+VfnM2+OATHHvhTyJI2L9DsUP+8Rw8PVLHpKGNf9vhfnRCQzXzcates21zv +V970W/MoN5vwdosjPjv4FbJPTfNj1Aqy6ffn0z9PWvI8n332/bVqqIroZ7Py +5QNPGpew+PVKo44WZbOQfxp5pNff/5ar7g/KM6rYkdSsI5qV2eyfNRmfSh66 +sM1tht61yLvNypwXln0Zc491S8lbdsXFn93XVNJLGRPA1tyOj3YIDGaHA7Ty +sraFsZmFQXN+T3zHLr5wXiSRvWe1Dms7bbkSy3IX7wuaNjyOrUrsanMyPZH5 +a8ffabQsid1421V6LjSJNRkV/6ygaxrbfnlT4IyPaWzRYL8v6f+ks97HNtW0 +85Wy4Y1ap104lMlU/12g1Kc0k4WFfB6u7FkvZw9envS6VQ47OmzkjNXjc9jx +21uuWp+VMdN1txU6mOSxd0/DXRYdy2OtLac/NlHIZc+62ziOul7A+lo6Dd4f +V8BMr33vOTE2j3VImKC+pLCIHem2xv92l2JmnvasfWh5AbM+qux1QLuUZcfp +TgtfWcp6q9sdkS0tZlFjskbfrbezJhxpklTuWc7uWM/bdaF3Gbuml7C8XU0l +06ryCo0IqmRlEUMrM8eIMuqBQx5hHPWbYpN3vFToS+BDp0xIVazIpjJ+h/av +Bvd+nmdSxfRM3/qeOFrFto80NnyvVMWuTvdffMLiEtN7UqrkuPQMs1G3Xl3T +5jIzjsrpOL3+fY/vExriWz9enLcGJkSoyZirb9N/+tZVMn2OVxtGWhrV42hn +wn+H9miH36H95CYjIyU+5fQ7e9n9tOb18xfzGfMC8xr99NuyO/a5b73/G/jw +ZL/6fp7zcd88+NaT7F4ylhu2Z+LiDjIqr9uxhTXdkMumRORaGrYXOOYL2kN+ +QZ5Bjp0e9T+c8npUnq+bWI9XaFz+i0PfPVqqFLy2/n42L73e9sKHCrpfvUv+ +PT27iPsGjvtH+WunDif6XKiXB4o3Jx3qIvgETw35gZyBPEQ/oQGek85vKme7 +TM/WZqvK2EY7LcUZ03Oov2XxbVq419+/3YXMgi1TS4iPDit7HymtlydK92IO +bTpfRu2jBl07t0pV9IvroH/jss3KdYZ51D7kUTv/UDmfXO6g/4Qf52rO1csZ +rKu9TbgXHbnlIbufciNjudYzZrO1f/Tqhc8pbr2ht8/YF2cCaZ1swNTVhU2D +3jBZP9XVQzXCmPYpoy5T4kMo3ny4cuifNxGRtO7l0tmli1NBBPNbmjaodEsc +81hyYlZqjVg/3zRfqyJvn1j3Or3Nyk3lSDw7crH17dMDk1m7zrmvddsksj88 +vtv9av+FLz6msEV8XWpapuKbpZ1TWILvAFXJuHQWvX9/ut3NVObP47KzYhRD +lr76wFT5OpPCVI90t3sf2N13Wqcmu2WweG63bPqyMn6UfjYb5+02bNk6oU+h +l7pPLBtmli2+hww8teVot6IclvNYQ3fsFxlrlDnogpan+J5EMbfLFcdz4nuS +7hMmdJiok88u7L6k2PRQLlt6vlZ93hfxPYlhn/7bJ03KY434esyOL0ouq3cV +MolR+5WrVuezV1MivLaPF3HCGZsmJJyYVu8P8PWVVI9MrZPBxUxn0LUxS64V +si61TnpXj4rvSZqFrH5s6SK+Jxm11MvvYasy1rO9zsWyer1q+3BNWGCs+G7k +UC8n5exZ4rvHS+32TE00qWDRjeM3tW9czpJXjjDOUxXxtFcnkqrKZ1WwDXyc +H+N6c+jURdFnMuv118AJ0QOe5ZN+8235pPu3ev3YN1tp4ezfhYT/a51xZGW9 +frxyySY34lwVe8v13i394e1TKoQ+hTxJv33s+SmZwN/y66B/4Br8Ougf+nRM +zm3Tu9Mq2LfG7k9N6u0BXA/Xx3UxrzCPMX/vLbOMnjXvMvkxx7+9O7n6jDOV +UQ+cvmN45Xxl+/gqdiDon8ezyiupjHrgSyq2nrw9Q/BwNXzskBMV4j5RD/wM +l4PPLV//1T/f1PvEz6y3E4ZyOQ69BPvn9+i7v/c1qiA+qk4/im3+Hx4GX2g9 +uV2/ShZ6v2bf9HKBT5owYe2iF5Xssd/llOL/4BvGtnIetbGSRfesWHmpHh9q +lqgwudNTdrfpPa3me73ZCpVnx3OX+5HcgRyC/JnRyPrK6Nl3WT7yt9JT6kJ3 +eVK7LwbpQ93XebCs/mPTTrd7QmXUAz9jpzHy2aNg9s74bMSl3CD2Ydj4pPa7 +wkl+QZ5Bjl3sM/jpm6oAWqe7uyfyW8sJIdSuaPLKum92gSzg8GmjRcNCqYx6 +4M3mLFs3NSmKTewb+at/8yg2Xe27tueueJKDkIuQh5Ms4k/bOL+jdbqvXaw3 +TDaOYaG8XfnnsmFnLMLZdPfVncKbxVEZ9cDHt51ttHFvAluyp7FqZscEdvuY +3+fryikkTyFfIVeXqjVbbr88jtbp3MK3WLVtnUTtnqzsMLzt2zj27PvGJrrv +k6iMeuDfbUvXPldKZZ3zbw7t55HC7HNWPl/xJ53kMuQ05HOXQ7d3RX1KonW6 +xOoOt+dMS6N2m6Iez1q4IJndGbmkcnN5GpVRD9w359jBPy5SljJr/EzrMVJW +0P/Ltq9TMkm+Q95DzieXTbigciSd/M7DCjdSlkml1G6QrtGaW8XprNOK4an7 +VmVQGfXAIQcg395mjBk3PSObfRp5y/6DJIf8he46fdqyerkn4X7aGe63wV+D +voH+gd45b5LltbSziLf5NmvbYmJ4Fovj7fKdy/aX7c5iLW0/vVo6IpvKqAd+ +beGKReErc5mG8rjXB7RzmVKCyXRfJvQW9Bj0l3vWeItEE/GdQ+2yJ/cvXxff +P8Tbv5119WgOaxu6c0+HVBmVUQ+8po1OUblnPjsSojjrrm0+2yXZ/z01O5f0 +H/Qh9KDChdbV366L7x/G9Ze57OksvovQHnUhPbDe7rdpVPfvN/NcKqMeuGnw +n63tagqZbGd6WkRQIbsx+rnmucR80qPQq9CnK6dJ93YrEut64753Uf2an8fq +rPn3E2Ur1uSpFjKHaY7Dt47JpzLqgXvveC8ZqV/CJmp5rK5ULGHHd3+TZqsV +kT6GfoZefvPzXsuJOuJ7iV8Jy9q2aFZI7Upv6nxuvrKYWTsNnXd0XSGVUQ9c +aZCzw6JjZcxZtuNTe5MyNjBsivK75yWk16Hnod/VH9v+u3qX+I5it6/3Ce/d +xdTO0KRuv5ZnKWvzMaNKp7yYyqgHvj57vdr+uAr24+KU/aOuV7DTXV1Cptwp +J/sA9gLsBLtV0/qcDC4nP8j3rvLhT5PE94UeLWJaz/tSztabXFTeGlxGZdQD +hz0K+xR2abr/2Ss7l76g+p/v9e7/miq+u0A9cNipsFthr+Y/bCwxMg6l+pY7 +Sm/EPBDfUaAeOOxX2LOwY5ceGD9ctjOGHeL1Z/c8n9YrL4HKqAcOuxZ2Luzb +0gHjhuvFCLv3ukfmeK3pqVRGPXDYu7B/Yfe6nU+fZb88jeq1giuGtmgmpTLq +gW/hcTb74m6fw4ZmsF+VyQOTcsR3CKf3JL22Ms1kS1rveGB0Lott5u3/ee9w +7uLnDLZ675xj/t2y2NmhihNOBot426PYuVe0Z4ky6oGPajR8zpLnMtbDpG6Q +PC5yvDx6uKS9KKMeOOxs2N2wtysK0qIfthLfDxy8OPaRlrf4fgD1wGF/wx6H +HT7zqvvCRBPxPUB7i2FTg9aJ7wFQDxx2Oex02OceRjsKv10XdvvKsSPMK7aL +9X3UA4e9DvsddnvzJlO2disS9vzm7pO/PU4W6/WoBw47HnY97PlVvh0kE3XE ++vv4lsvatT4h1t9RDxz2Pex92PkhG3JPr94l7P+IP0e8/pwV6+moBw47EnYi +7EnYi8BhN8IehX0KuxS40rFxyh36lLNeBcubqpQK+/OHme63Edb1fvJkr2kT +MkU7/A7tTbi/DD3+o/FKneh6/w5xUfh9l1JOz03LyWbvh/78d9P5PNLvrbpc +Ke8qE/4D+ocfgX7hD8EPgv0NOdxtyp2qZsXZTGsh31dlilKv8vm2LNLUKnSm +sRlTzAwbnRO3kiUY/ppo3/0guzH75b5dk7ex/Xc1t38rPsBiXBZduDjjNPv0 +NeCtSrPTzBH73pw59CowtorNXHo+NCGkiq201VnVrUispxTZfhgXcUOU7/uW +DLp6tIrdPLDstOU/VdQvroP+0Q6/Q3vwsr5F5vONfUvZ8T09zm/9T9wS8zfa +//Ygh0zRDr9D+xyjteMzNpYSf87nTWeH1OPxWeN9yzPK6D2rWa/r+a4km3gB +T+AH143jv0N73Df4AA8F/Lqw71R2npoe9J94zhUeDw522f9knKqIC+F3aI/7 +k2klhx/4Uz9/3qmZJhaL8XnrcMrmRS9K2ZR5fbYcrccRl0G8N0jL7V5YR9H/ +Bs5Tq3Lr9Vfq+0dcHuuziNsDR1x9h+rKDxb1/Zzj4wFxMsTHEL9C/LJmjofp +sy4ingY/9MH1i4c617f/wuNi4APxMehp/M7j+oMTKari98DRD36/hcfnEJdD +O8gPz+6uzXZ2EfeH+8V9oh1+h/ZoB3tD70jq1G2qon+yO/h94n468HhbNI+z +9TzfMmJj31x6D61/NrLp3UH0i+ugf9ivwA0XXWy1rb79zdQLczM25tJ1Oh3t +PndGPa7G3xPeG95XMI9fYFzo/vrWbX8Hse9zj/mf9g+JesrejI3+3t7Gn9al +jtYO36qpGMK8Ynt/svkcTutSv6M2ub0cEs0mPEgd+vqRWJd6GZNU7nYvgWll +Hym+pC/WpXaOsmlWPTaVXfvd9fr4fh9o3Sh59N17q3flslXB7iM6z82hdR3d +iq0jTwbX2/tnFpeHfhb78Z13nRTysFURW7Wqq0brsnxav/lo2m5uokkJazq5 +KKNkRBG9F+ifu939W49UFXHV2YqyjG/Xy9jywa87LUsqYcN5HMMj8OG6bkUV +bHfP2/EbwsqZOn9fkBunrkxyOZKVzdry+CfiQFh/wXwDjnWWbXx9JZTPV6yz +QJ60L0zrGV4/Dz5cm9/fo17O47324NfHOMnj8Yuv+eN+a568wc5MXdfq1AB3 +KqMe+AfVTo8ftqpiq/h4f3J9V12keSWVUQ8cfIE/8IZ1BawzYH0B6wpYZ8D6 +gn2x/usDf4T+9dU+5z/iP/El1ANHXAnz23u3tolnPd5Hd/OwJc+Fnm39pcmS +Z6WiHX6H9uh/7plU28r0CpbbbkarmjLR/0w+v/vpTF+0vt4ewPjHOi3WZxEn +QtwI8SLMC6zfYt0W8R3EexDnwXzBui7WcxGXQZwG8RnaN4ev92KdF/EUxFcQ +V8H8wjow1n8RB0FcBPEQ2ueXrw9jXRjxC8QzEMegfcN4/ABxA8xfrANj/Rd+ +Pvx++PuY11i/xbot5Bv8dfjpmO9Y18V6Lvxq+NnwryEHsK6L9Vz4w/CP4RdD +DmBdF+u5sJ/g18KfxXoV1nWxngu5DX+U/FAuTzG+IFdlfJwMznhb8LDMj+nM +Mu1nNC2YyqgH3mnEqlfNbvmyUT/me6So+LBPP6Zop5x4TWXUAyd5zccp5DbG +mwPr7rZOLYwFq7sc6brjPZVRD7xxefn5SzVvWQejVcd+D3nLWlSt3eenF0Vl +1AOHPsB4h17AuG3Wziz9p34sG7xm6eYpnolURj3wPa/6h/ZXi2Gn1G/6nzV+ +z5SX7qtWeZxAZdQDh76hfWW43sH4Z1sMm70bmsR+eSR0NfqSSmXUA7edNvTX +kpuJ7MD38q9txyWybo8eq/folkpl1AOHPsP8g17DPPqZXqje9m0am52mHdr/ +XymVUQ985OOYjm5D05j+ipNtF8WksgcVkbO+yz5QGfXA4SdjXsJfLlXdqF0V +ksE+RfQfeHt5Bnup+n7n7T+ZVEY9cPjL8Buq3treNs8U3+cD/zh5Y8+6/+BY +L8U6KXC/5HOa877I2L7U1z0H2suojHrgsNd/cn8qx65umZNevV3czFJtf6Mc +8strX9yq0Gwv2uF3aI92+B3aw56AfIJdATmjenKZz/bxefXjrumSATU5VEY9 +cN3txt4TvuQyv9neD68G5zL7p+UzVrnkUBn1wGGvQM7BboG82q4/xODq0QKm +bmqiGvgyj8qoB35Bs7f+6vEFTLXxgbGvWxWwi9bmobtM86iMeuCwhyAvYRdB +7iV/+hUbGFvvz996bFqWXEBl1AP/mFkdeeJoEdvuYxSeZ1LELEZkvOlnXkBl +1AOHvQW5C7sL8nOoe9SSPNVSFvBDVeWxQTGVUQ98tuPrfx7Gyr9H6W7a4kYJ +q2q6ZvwG/yIqox447DaS39x+o++6Fl8tab6ynN1b5GDcWqGMyqgHfn/qmfwE +1XKmrV6eo1VUxsZm/RwzbX0plVEPHHYh7ETYh7CjKpTX7dDyrGTzQ9uoSNRE +GfXAW/xcsuXbikp2OtF/0zydSjYl6Lqfv1UFlVEP3IjbMbB/crg9g3Uy2DtY +L4N9A3sHdg5+D3sKdhTawX+5WrB8ueZ/4iGFp7Z8GGFdzhT2tbZdW99+3Lv5 +KiW1Xsxujk7pcdk9drd0yZSJak+pjHrgu889P+Ng780WRofdfqX8lL3cdvHq +xzV+bMqhObazLN4wz0gHqaXea5a1+1SrHvdCqYx64M+uXKpNKwhid0b1UNji +FcwGjez6PGtPOAs0OemZdSyCxfg0cp0aFM78tLq9MB8bR2XUA9faEDd4g2IU +69Zy4egm8VHsgIL5rM+741nXCyutRy+IZ30m91hf/imOHTm+yLKuNonKqAc+ +/8aRx/s6J7AZFRHPI3cnMKslncaFt01hqT/rjh8sTmYyr5eHRhxJZslxBzpt +6ZBOZdQDb928T+S7eyms6YK1sR3apDLpTR/NTXXp7OKq67cid39gzh0XXt/X ++QNzUzgb/PRwBpVRDzzS+k1e23FSFhzYtGTJTSmLidXvWDA1k816PyagQ5ts +ZrLvq8+7e1nse78jG98ZiTLqgUPuQz9AL2CcqXO5m+spSSrPyGbNu5avfxib +w059NrRscSOH9V6oaj6sQEZl1AN3dbE7NU8nl3UPVz/zbUUua9pv9+UhE3LY +qlj/bwmq+azYXbVGqyiPGbdtqrp3cy6VUQ/8j8ks1R276v2/vZVq3Tzz2Z1s +j2Hmslz2+tCJw99WFDKDJUUH5+kUsgnxP+cvnZNPZdQDN2/Z9e7V4EKWrvPK +fcKXQtbsdt7svkn5rMdos3bdPIvZrbY+Sjt2FbPqa3VKKQcLqYx64C9flQx9 +3aqEjSo4pbt6fAnrs3lg6aGuRWx/eb8bE76Usiahh69dDS5lyzcrzypsXkJl +1APvavMiMM+kjDldWRR04mgZazzNrvlunxKW4VIzcPX4CrZsl/GA160q2Cmj +QYpncsqojHrgNv2OzWxxo4JVztY0ehhbwS71z7jb/K6Iz+I9a4TuW1NcIuY5 +5j3m+3UeZ4D/e+PRriXJ9f4v4gyIZ7beOGSTWb74zhI4vrdEGXkB+O4FOOJO +iIsCp33+ef+QV4g/4TuEigJPhfiobJZv2mvNMZtsVnS40X2rF6KMeuAHp6SZ +nt+UT8+1ZuPBN+1zRPwU8RY7/2ajdTvLWAfun4Mf+OmIMyKug/hAcE3nnAUp +t1mTfTU+X1+6sKW++stOTrvHYq43Sp2jG8CqV1QHqbv7sz6vXhzcGRTMzF1e +9vDXf8esGw9X6W0bxrbe3bL2Ye57Vj765wC3oXGsONFq2jPnWLZmuN2dkA+J +zMP18qSqkCT2eL7J+NvLk9jFA5odGnVPY6sURy4ZvSCdbXz5cUH5pzQ2xf/V +fuUXUtZra+L2g8WZbKDG2c0jjmSy3TK90krPLFZl9WKa/LvJrVM7TZF/Rymd +9e6a/PvJmb2PJZ04msdia/Pj80zymHOjzdsTFXLZ/RTTFQ9jC9iQR0/NW9wo +YN3faMTFxOaxFqc0KhNUi9lpC/syraIituR4geeKigK2mn3e/W1FKSvpPM92 +nk4pM1v0pMVp82IW/DmoeTfPcjYtWl1hx65ypjLyVOHsPmX0fqE3NySP/fvd +o2SV2Z49J7ayhRe+Vv6oPsKOG1sfi71xkJ0x0lKYOu44fRcT/6HoYvGJCyxk +kLnhw9gqNq1pwNQWN6pYz9Yz00x3V7EU138Tvl0X38O4vZ8fGTesivrFddA/ +5SHw66B/9IvroH/0i+ugf+hXPB/0LOYh7GTY2xiXT77UfTWcXsKGDBj5am+h +kMPtuN372HjOTVmmaIffoT3GM+bThGiXq6rF2fTdNa6P75w/pbcojzhXJuLr +Ka+8tpaIPAK0/zV5jMpBWb3e4OsKWGfA+gJ+X8P7Qz9YP8B6AtYRwAvkk9K1 +XX/lEr6XRjwMcXLMTzwf5iniVlhfvn097Oyl/8TP/YcqXrw9o4zpLA8L71ci +8hTwXD1CnTa6Fwsc/aEftEM92uN53+13vTtqYylb8WLn72H/icP349+J9dFu +E/9MRdw/5KW66Q2di51EfP4Zf5/mwXskPeqvi3VQrItiPRTf8SOug+/5sc6K +dVest779vcS0zeBMdu/hlzv/nMtkLXTn18XZZtH3RohXPPw85fUD5VfsX57H +hDyRqA1GfZtIPAhH+zqt3lOe6L9hDc85nPJg9355/mfD8xAGLHe971ATxDrw +fCe0v/s3P/QZ4Wg/90LPtuu8QpgvX19G+6bOvRbK80mB07koYTe3T7YIZYt5 +PiTto9+hZkojSQCr+/sn8pCW83Oa0B793PrRQ6qu9o7aA4/i5zcl8DxH9NO2 +UcxZ+b6FwNG+Zll3t5RjkewO/74E7d8EjDoq398bOMXjLzi3eqIfzXbw/Cw6 +R9LWda9EEkY4ndMV1nWLQ817Np37dXT+5t/3Gk442lv/uJoi3ydcjedx0Tl1 +VdvWSSSRhKP9rE5tetzyjmPlfH6i/b6/4yCacLSXPYqOU3aIZ4E8LxHtB6+d +vkAiiSEc7bcZnj5kZ5lA+cKIX+WenDVKfh4ZxhvwM55pgbopETROKC4raWx5 +yzuaxgPwbZ7/jluoHkPvl85bXDCoXVuHWHq/wBfzc7jwHoE/MB2Yqa8bT+8L ++J/726aplcXTewE+R/Lau8Y1gfgH7mLaslu8WSLxDPzjfeOjXspJxCfwSZIb +1cfCkog34BdMixdZ2CUTbxR/+3uO22ua18DVXu9eU6gSTvzQuUCB/gfU1RKJ +H+BHY8/esvRKJH4ansMIfoDf+qhXWBuXRPwAf9RYuYV8PyLwQ+dfdcjXdKhJ +Jn6AR2r4zUw5lkL8AE8bccZKXS2V+AFeONXirPwcNPAD/PM/o7299dOIH8QJ +4wJ2tcjwEfvxAp/06UdUUFQEjTfgp1p/6Scf/+AHuEGp3Utv/VTip+G5iuCH +9jk8NH6Tuloa8QP81tzr01KOpRE/wDd2/93ToSaN+AE+qnRJrXz/JfADXOIb +kFgbl078AI881O2Bt/4H4gf4pbl7j1p6fSB+EM88YJv3R+ojvlMFvqHvrqHX +7aOIH+CZK/TP21nGk5wH/lzzW7F8PICfhuckgh/gc1qP2O6lLCV+gCdfVG8W +byYlfoAv6a7oVOMqJX6A59390l+tTEr8AF83JPuFvm4G8QO82ifC0MIug/ih +dUv27MOxsAzih84F0J1dI8/rBT/AL5l9/9dW7z3xA3yI7/Gf8nPfwA/wkDHR +ivJ5ATkGvIXv1F12lmnEW8PzEMEb8Oanev509c4k3oDPiL1koJuSSbwBP9Oh +1emw2kziDXj8PweSzNSziDfgKs413coMsog3WkeSrV9tZ5lFvAF31pA9UHbI +It6QV5hd5VMm9XlHvAF/dWrnL+PqGOIN+L7Wiat1UwRvwONmumrJ5QZ4o328 +DrnN101JI/kG/Oiz3FRNWyndD/zQc549c6U+EXQ/wLcu+/lYfp4a7gd43Iru +9Xotke4HeNaSHUZyeYX7AX59bjOtMoN0uh/gbca/t5SfQ4f3BTzPRd1a0TyH +3hdwBYNFF4w359D7At6v4KKvs30OvS/ab+xYrLTgYg69LzrPWVNRou2eQ+8L ++OmoyRq2fjnED/zxCWtPpkl9oogf4C1++FvI980AP8B7+a4dU2aQRPzQfvlW +MzfL5Tb4Ab62+xqFW96CH+AXQn1/2Chm0DgH7nuhzcynIwU/wItPjimyUcwj +HoBv6tDX1sk4j3gA/uSfq280bfOIB+Bfrym3DHDOIx4Qf6jq/SVG/p0leADu +7Li701bFBOKBzits/eROWK3gAfiPfT0d5XoBPNB+rqWhWfLz48ADcDWjWyfl ++zmDB+BpI6Zb/5qeQ+MH+DGbTRWu3rn0vMDTTz6eWG1TQM8LnG1Z/jDqXgE9 +L/Kab/w99y2Wnhf4UK0xEbIC8bzA3674pXTLO5meF3jzczVP5foXzwv8l0/f +F8oO4nnp3PWU010DnMXz0vnh616aqC8Szws8yidvhG5KLo0H4J7/bDxhvDmf +nhf42pmjVNxlRfS8WEfo/z4v00oaR88LPDT0xx75+Yl4XuAqf+VzCj0v4a6R +yfLz2vC8wMMOHTkfViueF/iAZTu9ZAXieYGfbvXV1nKjeF7gSj/N9sn3lcLz +Am+r3+3rEPd8kg/A/ZtO1q+2KaTnxf5FdfdV062k8fS8wBcu8xsS4JxEzwt8 +devzeWbqqfS8dP7dk5vf5HYInpfOeZtbsN7OUkrPC/xR0YrxCtpCfwF/+EDn +uvc+8bzA57OYMDP1PHpe4Ns1olcqZonnBT7RYcjffQUhB4A/3VXTytavmHhA +XmffEtNzilkJxAPwiu+2OZq2ycQDcJ8V0tm6KYIHOv8tZFsXhxrBA/BF3adM +1k0RPAAfuXlWjPxcEvAAPG7OhqDac4IH4JcOGfw9NxM80LleintjC1QKiAfg +7zp2Wa6nUEQ8AF98Ry2oQKWE5APwyz4HPpUalBEPyHu6VqR4b0SKL/Fwne+D +ohP7rGVuwQviIYN/L1PonXYvOMqPeBjD90uJdpnpKd/PEDz487jauYuTrWY4 +BpBdvZ3vS6HrEFLFdAPJ/jHnfuLbBn53Y/4+G/cZOc/XKoJ4m8zv/0HXdpMW +qkcSb4f4/b/rpN0hpyCSeHvL73+uyrm3RkFRxJsiv/8ZKroL5H4l2Y38/p92 +6hou1wsYV9inymCvf41JtT/xNp7vE7OzYqF6X8Mw4seO7xvTcUaK0rvaMOKn +B88zkI0fxK7bvyN+Avk+Wl11Q+YsVA8nfty4P7iwgd9qy+9n4+i03nL/BfxM +5+/Z5+PHYOPqOOJHh9/nKK3BxrZ68cRPPP8u5WPRiUS5Xw9+tvD7z9VoMVnu +/4Kf9vz+W+W533EyTiA5/Izf/8be62qOhQl/H/tyDfs4o7G1VOS/Ia+t/Mkg +hXVe74ifZjx/4o9STO+tisIvS+H7g7WdFpbgrR9H/PTAuZoN/NZqft0rf/1x +4be+4ddNnRlrYWGXRPyc4+9zVojPNUuvJOJnOf9+5ufL1yHy86/Bjw7f/0c2 +olQapZlM/Ehw/zoj8+VyBvzE8/s3fnA7ozZO+PW+fL8xQ92zO32thN+KvLk7 +eWtPmhsJvxXnEY5XGHS02kbwY8T3PTMpvbFXXU34ZVHcH2zVwG99xq/bfN2Q +vzj4cebXHePsckjqk0r8HObXvTNX1yIoKpX42Qi/52jJMLWyVOLHg++D1HP8 +m08FKmnEjy3Paxn297ynNOLHkN//3iEJk+T+MvjZyvdR+1713UrOH/jBPsPv +OxVV6SkIv9WA77fkr2pwXF0tnng4xv2+sAb+6Wbev4/NtFNyfxk8mPH+M3NX +95af0wEeJvD+xyXdvWfv9IF4GMC/O0qY2ryXvD14aIs46JiTx+X9g4fv2I/0 +0RCZ/H7Ag4zvO1f0188V/rs23wfOw3PlKl8r4Z9iP+RvhmtM5eeSg4e6s//b +X6rVJodPtXHCfy/i3yk1HfrmhJdyMvFjwP274AZ+qBa/7qThq3cpmgs/VIVf +N0hdfYJc74OfX/y6HY1aWcv3qQM/+fy6Lr9Vz4TVZhA/0Xz/K4sh068bVwv/ +/RmXB+ayy85yHPw48/30HP/6ucJ/L+P7BpmtjV7kayX8UOwzpG5X4F9tI/zQ +l3yfrSUhqUtSjgk/FOfTt590ybPGVfihp/h+XI/HeBr+d3wmcp5acj2F607j +eY4aZsPaFqoIf/Ml38frgWrvd976wt/EOpG68fr38vOCcV3sK7W7eas+8ngR +5CTW8V+NaBrubC/8zan8uoeOG2/XUxD+lD+/7snfZ4oN8mT0Xgbx615Z80Bj +WqiMnmso35/vRdbNaXL5iue6y6/jx/ULnqsL34fsj9XGoQ414rmwvjR4Fas6 +FiaeC/uVTU5a/0tuZ+K5kHc1JbDSLChKSuNQh9+PpGbiQ31d8Vyq/LpXmoxP +8rHKpXEl4f2vnVu3wGii8Ju28f6tQ8dEmqnn0rgq5vsZSnetDtX8Lvzls3x/ +Qcu/54wLP7EJzw+dfcp7u3x/Y/Cwk9/XHK5HwAO+Bxu7XaVdvJnwE7E/m/Jf +/0LwgLyxqKnpJfJzLcHDGX4/Mw/7rUz6j5/YmN/PnI+zfg9xF8+bwPup3Fa+ +W37eIsVz+L6LOYoTe7vLhF9cwfdBVF2wVVd+riuedwXPJ83V2DJA2134icl8 +PzkX1UbN5PEuPC++Q5vO9QKeF/vOpVsNfCSPW+J5kd82PzZkt6K5eN5yfj+T +9Xy/ys/vw/Miv1X7a8Kr2jjhNyVhf8cvPSvizISfeIfvDxnqcotVfxJ+8Uy+ +L1n+8U2XpD7CT3zN1wF3BOpIne2Fnzic70v26W/cQ/iJWK9c4BRoYmEn/ETs +p3eby388L/Lw0v552ErbXTzvDH4/q6Uf1dQ2iOcN5PdjM2Z6M4ca8bzD+P2M ++1XiYO+UT891j++PGLDm9jm5nsdzdefr1Ypm1Q6K5sIfPM/3+ZsUculDbZx4 +Lnxft8rjwg75OVZ4LuwHaNW8dIX8vHLcvwe/7jE7LWZhJ+6/G7+uz75XRupq +wt85x6/rmnuldmmM8Pua8uteaRn556Wz8HORj6WtUNKkY4Dw77A+f+Pjowm2 +esK/w3kZF1Rlk1OOCf9uJf8OYYuf5eUaV/FcqXz/3dFJhmNTjonnasqv66G+ +1sLrrHguW37dH8HDnLz1xXNV4DyQCMO18nMh8Vwr+HXVHZ+dlRUIfzaZX3dy +j61t3WXCn8X6mku3RvnNJOdoPPfj/tRb5zWKcjsLeE/+uylVDr0kkgSSA1hf +PnNcNVx+Li3wGVxfOCv97GurJ+KHZtyuVBvdr0glQMSBUzgfafL/+3PI/sR+ +nPt3drSW+mQRb6v4foNPx9amyPUPngv7mk7i94l+mnOeQ16e9JXrbfQTzNsn +N7gu/Ny23S5sVcwS9wnctNu0f2vPVQg5wPX70Qvt3tXOzSYc+nfg3XZX7VNl +1D/iDO9Tuw+y9RPr6RncT/x4Q/PHybD79Fw4h2RSlvGQczUPaBwe4f7U600K +z9XKQmgcruH+RT4/35nW0zlezHH084Tb1eaSu6EahnHUvuH50RjPD3l71z5P +cpwbJxF+gtvz1/Zq3f9vPHMQt2PX8POggQ9ugKMffOc/5cDnPpIDoj3WobL5 +OdFoH8vtPb9HdmlRmkJONuL7oa4Ynush9wsgJ/E9/zzDDcHKDqI91nEGtJIk +OTcW6ykOHI/kdj762crH/6YhY/uXGYi4TTLOAxoeVCS3f/He8T1/lwPlRha/ +RXusg1wrb/FaX1fIh+X8dzq9o5pKJFnUD/ZbPnpjja67LJNw7KM8hLfH/Tc8 +Vxrtsd4xWt/cVjFL2OFduB349p+XB52MZcJe4uM5NHDFYHcXGcmlptwusryn +b6OnkEv9pHA7QcbPH4G8KuV2i4Sf7wy8kuNNOI7+33D9rva08u85fWjf8Pxo +yL0A3l7TZecZ7z8FhKdxPX6x4r2bs30h9ePG9ewHfh408PsNcPQDOyTqoUtZ +HRPtETd24udEo70t12tPEnT7W9gVE36R66k+yTuby+0OyE/o/Rc9Z7eWxyHR +HnHafwNDxqkvEu1n8O+40722bTGuLiV8L9cjH4d16y3X/5BL0L/h0i8jjA6W +UXvIpQMnVJc6JZaS/EG+2rq5TYfWCyySV5APr9wybpcZvKN52vDcZ8gZzOv3 +jYvvKprH0bzDvH44N7DFZIsUmheYL278PAuMW4zn8dH9nyi/F34l/IJOSQN2 +W2oJfYpx0nnzoDYBzmIcNjx/GeMN77dpUnO/2rliXOH9Lhqz8tNSoyLiDXx+ +4ecFgGfkDUdF77Q0niv0hQ/3E32mzvm77zTwU3xeF9j/XD92hIxwN+6vve2s ++HfegQfsK37x0dgF8v1pgWNf3LHDXfoZOgoc4+fEBY/cgotCDzbj/Zy/8vqJ +1WKhT7Hv74TpZ9v3U7tGOPa1zo2cs3ONnQfh2Nc6aqJN1bvaF/TeP/A41ZN1 +OU3e1UYSPp/HZ3LHKDmoq4n4myGXh2E8bkDfX/H3fpnLMdw/5OHFmclNtfsL +eXWL89bS4Hikpq3Ay7lfNpjvMw8c/l3E1p6BUZpi/MC/y+Tn3AFPaCDfaN2c ++0FGqpNMjCYK+w3+wsX4t2kq48S4Os7jAGMWaf09fxD4Gz5OHh76WWZgkU3j +DeN/1ceUW976Ak/FuZT8PF/gsRyvS/sfjv5vc37cu2RvuXxRRngg9+t/1cWH +a36XUT+Q/11MvjQ3jxF4J64vCvj5v8DVOF7EccgN2J9Kdu4zm0hcaDws4uOq +cXjd0xEpT0meZHL5c5Wf5wu8gOM3GuANz/kF/pDjwzgO+TOSx12rhxv/6y4T +ds5Vfl+PTau0JZJ4wiHfNjwoMJfHeYAv4OPZfL320pTmiSTH9vH45JGvXTtu +VUwS3yUiHrsma7xaWTLhkIe7uvfIlftNwH/y+J43PxcYeB3Hn3Ec8z2Px/22 +T97bXdtdfHcUz/tvy+O3tJ7C45aeK2zWqat9IBx20cSfy4wt7AR+k8fNTuhO +OaiYJfBEbo+puytnmt0U9swd3v6xRiNr+Xof+TvcjrLYG7FG/n0IzRc+Ps9p +PNmhd0TEl05zOX+an/8L/BzHzzTAG54LDPw1x7U4jvFvzuMntr+t+qc0F/N0 +N78ve/n//QKHHtl+R5KsMk7YGx58vlfZ901S2Vsg5hGPSzyx7LAtrFbgq3j8 +YaNGepqNotAv0Ds5wbMO2TsJ/Az392/zc4SBO3LcnePQI425nB8nPbjCUkvg +RlxfzB4zcWj1pxLCoS82D7w4xmii0GvLuf/lN6PMtfacwPdyO+efU1c2G+uU +0fhEnpl66Z3uZQaZhO/h9smfyoFZ8nOmMH6gNyt3mc2Rn5cH/DW/zrrLQ257 +Bwo8nfu5rl3mXtCIEN8RYf+twcNlD1bZCX2E+TurxTujsiZivcOGj8NGKn4b +Fr4VdgXkbUCYd4VBntA7iCvu6aDaWLu/0AsYb7H8fD2MZ4yTV+EPEgt0RRwJ ++4jczdcz6KZTQf0HcvlveH3mfkutbBHf4Ppimalb2rGwLBrPLvw+1fm5tMA9 +ON6H43henLcSkSvdq6cg+MQ5KlvWTJjtqCFwnKvSuv+8UPn5sMBxXsrz+88v +ye8XOM5PmbchrI25kcBxLsr3v+89i+Tz+//Hv9uCc280U/o71Ai514WvF7zj +59gC78jxMI7juhU8nl+aaRpgJRXjzY/z/GSJbnRtnFhf2Pn/2POIp41qc6Ny +qZGYdz15PKofP68WeLcGON57Cx6XWHy/bVzdfmEflvM4z5N+XnVuywWOdYd2 +A8+rq3mK85Ww/r6DfdieYPaM+OzNx/nSBnY47PZjeaWLJluI9Qvs53m5c9j+ +KQ+EHnzO1/Xcnjnoy/UU+sd64jV+7if4X8rXuUz5uZ/AF3J8fgO84TmhuC7w +btO99tgVCz01jK8f9eHnFgH/zdeJQr+/aRpvlkE41rOuuV5RdXieQXqw4Tme +mHfYT9J5iHpWwRcZzeuG52NinHTh81qpgR8Bv+NB9ZIfQ4qEHSjhcXU/+/sJ +3/oJPYK49IYonXS5/Ef/OL9yOz+/EuMqmMdvu/HzK4EjrqvaAG943iXZmRxP +X2zr4jxJ6AXEXS/yc4KAI766fInJQqdE4Vcib6nkrfdsvb7lNK6wf2G/45+a +fu0VTeOn4bmNwPvxcbuMj1vgB3j7Abw9xgn2I/zppPhOebZYF0Cc53VF43b7 +3gu8gNtFa/l5ixiHDc9bBF74//ihiNscaDxyvZ2lGIdnuXwO5+cbAj/RAMe4 +gh7BOdq07sD9i9sO0xztdwq7peE5fcC783HYjo9D4LA3TvD2eO9YL7h0LlbZ +Nl18/4P4w9u3/7Q5OUjEH2A/bOTn65Hf0eB8PeBN/x+/WJfHGRYo7ewVFCXG +1Qeux/P5eXYUH+Z4XgO8ksvz7vycO+CFHO/KcYzDr/z7jXX8fDfgXxrgkA/u +XG86c38TOPa5vdpAbmA91I2fawa8uIG/iff+ktsJMQ3sBEeuT4v5eWTAsU5X +xHH0A/sky7K8nUPNf+xnjtcp9h+Z0lzYA8Bxfj3eL/BJc5z3ye0NjFt897vH +PvGNc2Ohx2HnvA6b3lK7v8Bh5zRpFTgvaKbAYcdOnTP8qvHmLLp/+Kcv+Tlc +9B0jx19zHO9rNPfXfvNzssiP4PMou4GfDn+hP5fb4Ad2fjd+jhV4wPi5Knvx +76po4UdDX0i4f43+G54jBrmB/MTLK/z/fldA32txObnzr30l5APiSJ4j8ppp +uwveVnB7u6+J3yL1qwLfw+3tpckfZjjeEXYp/I7N3w6f0TAU8RzkT917sTqn ++35fEWfm7/d4j2EXVvcW8RB8/7Bbf59NV39hf/pze2nvFdeaI5PFexnD30sd +fy+Qt1P49y04pwz9rOT8qzfgfwRff9zNzwtDP0Vcbq/jchvtEb/azOUS2c98 +Pnrw+Yj5m8Hflwufv7gf7MPW1mSuxYJ8MV+AD7fabr6tULz3vPaPHyztLWOD +nNo0X9NBxMORx7mi17vXQ1SE36rQw+dXpz4yFr30vFejTjIaD7f5/rcD+f63 +GG8r+T6oY/k+qPT9Nt/H2pHvXw392JTvk6TF90cCb/3fdsyzu5nIRhp/iM/e +Kr7XQv6v3owFHxZniedN5Pu+nOH7vVC8KG5oVGBsCTsReq7TjY9FQp5fmv5z +gk4li/y6+nPYQCGfZ+pXx9nXP2/4wtb7rnQR34E89toxs/qnF1sx5PGfAP3n +NH6sX41ObBoUzpobzTg35Xos3SfyXC0SW51t00HI1SULzbMCY3PY/EODr/g0 +EXqzovt2pYk6hczw5NqPgRr5xGfDfQzAJ/LyX0xyWOAkE3b1m+t9Pre092aZ +cwZO95ov5sv0la1UJ+rksmiXUSX+vUTeRMN98PBcAVcOl//Uf8fs1Kqbnw2J +ofe1hO/Pdpfvz4b7Gcz3F9/C9xUnu7FjeFJgbAGzfz550f1aYQ8E8v3Kavl+ +ZXjvkhTrBfbLk9iKP8nHroYLvymC7888g+/PTN/9pmc1nahTym7Mi/4S/J94 +wg6+f+9Bvn8v3u/009eCAmMr2Ian7WLOFws9jvxp4yz10B7l2WIdrcH+87hu +pw5Wbo/q55F7wHJJaicRh8R7Gak1LMqwSOijTWNLYu1uStnezPma348I+Wk4 +28DAfnkGU1LrPs8xOJPijHQOLV/vRnwQOPJGERcAjrxIxOOAIx8Q9iJw5MHB +LqTv7Hj+F9bbgCO/CfoVOPKMoF/pfnh+De1zwXHkm0C/AkdeBuwz4MhfwHoP +cHznD97m8Hgt4rTgB3hXnh8KfoBP5nmRlKfH8Y08HxD8AP+X58GBH+CBPM8L +/ADfxvOtwA9w5BmBH+DIuwE/wJGfAn6Ah/E8DvADfBHPd8B3AMAr+ff/0K+X ++byXDP5fnjv4BB7D8+LBG/DTPG8UvAHP4vmS4A24Ns8TBG/AD/A8OPAGPJ7n +o4E34L15HhZ4A76V5yWBN+DI3wFvwDvyPBfwBnwNzweh/AGOIz8CvGF9EPn+ +4A34VL4/AOYvcMT5wRtwH55PCt6Av+V5lOANeDzPEwRvwLN5vh54A448NfAG +vJbnbYE34C14fhPFVTnekecBgTfgfXi+DHij5+X5I+AN58DO4/segDfgbnyf +BPAGHPnvmNfAsa4BPoFr8u8iKM+T4y15/in4BI78SvAJ/AbPcwSfwC15fh/4 +BI58N/AJHHlhlE/FceRPgU/gyDMCn8CRdwM+X3A9uZvvCwE+gSvwfSTAJ3Ds +GwA+gSNfHvOdcL6+Az6B4zsQ8AkceangEzjyQ8En8Is8LxJ8Au/K8wTBJ3Dk +04FP4Mg7A5/AH/P8LPAJHPlK4HMJ18/YHwM4zqXB/hjgGe1X8f03gKP9Cr7/ +BvhHe+zPABztl/A8F7wXtMd+BcDRHvsV4H2h/WSev0/587w98vcpz5y3x3oZ +cLRHPjveL9rr8e9w8H6B7+V+N94vcPjdeL/A4Xfj/QKH3433CxzfA+D9Asf3 +aXi/wNvx7+LwHmEXY98SvC/g2OeE9t3gOPbHAP+0bs/3hQDPwLEfAvgEjn0A +MI+AI88d9wn7Gvul4D4pj4fvr4L7BI79OnCfwLFPBe4TOPZnwH0Cx74EuE/g +yLun89M5jvxcOj+d48hjxXsEjnxPvEfgyIvEewSOPEHwQ98v8P1hwA9w7CcD +foBj3xI6hxj51ny/DvADHPtUgB/g2J8B/FDci+8/gHlB353xPHfwAxz5vOAH +OPJewQ9w5IeCH+DIlwQ/8LewHw74AY79c8APrcvx/VvAD3DsWwJ+gGO/DvAD +HPtUgB/Kt+P7MFA+P8eR7w+5QfkZfL0bvAHHOhd4A468YPAGHPmz4A048knB +G/w57AsE3mg/Er6PEHgDjv1taD8afMfH93UBb5SfwfczAW/AsY8HeAOOfSrA +G3DshwDegGN/AMq35/g2vu4P3oDjOz3wBhz5xeANOPJtwRv8b+yPBN6AYz8l +8AYc+/+AN+DY9wa8Acd+L+ANOPY5AW/AsY8HeKP9nPh+EbSPA8exfwJ4A459 +BjAO6Xn5dw7gDTi+SwRvwJGPDN4Qh8A+UeAHOPZBAj/Asf8P+AGOfW/AD3Ds +9wJ+KJ+M72cCfoBj3wzwAxz7SIAf4NhvAfwAx74EGG/Arfl3GuAHOL5XR74x +/P1JPO8Y+bSUH/DZIdekOpDySIFP5/mkNnw9HjjyKIfwdVngyCtEPhvwFjyv +DflgwJEXhvwo4MiTQh4R8M48nwj5NsCRd4N8FeAved4K8j0oPsPzPt7x9W/4 +9RU8jxjr3MA7Ft5fP9kigtangcfwvFGsNwP/zvMocV4gcH+e79YUeVYcN+L5 +X1j3BY48KazXAt/J84mwrgC8Fc/HQR4L8Js8n+U4/14f/rg+z/+dzOP1wM8u +2l4dpRnPJPx7euCteR6oLdeXwOfyPLUU/r018Fs8n0uXx/eBI+/Jka8rAzfg +eUNV/HsI4Bd53g2+04VfbMjzwrB+CRz5U1hfAY78I3xvBBz5O8izgp+IfCvk +KQFHvhLyfIDr8XwfrAPBP1rO80/x3Q/wYstDg231MtnKBv7RO+4feTTwaxZx +v6ZnA//Fkfsv0Q38lNbcTznewB9B/vJkLseAh/Dvb3dxuQG7GvsDfORyAzjy +4pEHTnY4zwdHXjRw5EcjHxi4m41Jo3izTMrPBN6I52liHRR4b6e9Ccem5pB8 +AG7V78vR7otF/htw5MHh+wZaD+H5ZcjLovU0np8VxOUDrU/yfH/ktwPX43nu +yPcGnsHzvpHnDBz5zsi3BI68S+QlAr8wInhKUFQufecBHHl8+N4IOPLjdnE5 +ABz5ZYe4HKB1Y56Pz7gcAI78dORjA0deNvIkgSNfEvmEwI2lcQu9zubTdyS0 +byXP10OeG62n8Xy3/vx7DtiZyIvP499nkL3N88GRFwcc+XFR/PtU2F0reZ44 +8sdIP/I8MuhT4P9X15lGV1ldYbgqCMQyFBBYyCSCNRohYKBQMRcH0KCNaMRi +gmBRKpQKJcgkIIPodSC0K9BQhkahMqigpmgQCcgUSAIWAiEEQ+ACIjEMBjFi +0Uq51/fZx3XWuj95ufm+851xn3P2szdxYODT2BdPF6fGc9CvE+/GuoMOjwaH +Rn+DR+O96MR7ga/D/oGzg9+zexhxfNiN6MTVxL7i+RZXR34A/B6uDf9vdLg2 +uAV0+AW4BSuP+AX4B+MhxEGUiH+zc3VxcPBv1i7i4GaIN2Bd2CAODl6F5xRP +696nUYbLr8Tv8f9kHWTeXih+jfUAHR5tj/oPet1GL80bHldm6yM63Bl+SMzz +cGcluodGf1C8GNwL/QRebIj+bTyWOC/ai3kbzguOi/GeL56LduQ58FzwWvwe +rgG+i/EI54Uda34c8mOB72LcwXmd9XQ4L8sXyLmB/GNPe7+H84LXQofPejuK +Dvdl3JX4L+wHdHgueC3015bGFzadUmm8FjrcFvYG4xFuC/4KHQ4LO4T+D4dF +v6Wfw1uxr6E/E28ZP067LxOHxX6Hfk78W/qz3UOJw6K/0Q/xc7O8Qep3ieKt ++np2AnEm8Y+kX8FhsQ8yvwnFLaR90eGz6Ff0B+L10V52/iM+i/qknvE3w66j +nuGw4G1oR7gbeBt0uBvqwfz0xd3gn4QOd7Pb0+Fu4JF4/u3dQ9Pnzw2Znwo6 +3A3jlOfA3cDboMPdtPR0uJtc2WPMSyvkx8s+zuxb+VcPkt1Cf8CPN9XTU6ST +nx4df+xmUfQfZT/Qr/DXPS1/I/RT8tPG3wh9jfy08btlvON/OyHKuRb+tdQz +frbYh+j4deNfa37c8pvd6On42eL/jY6/d6soOvaP4yp+8qeF3+N74fjY7xv3 +prh/5eLrmDfOLgrfT+XZ/IC+Y0f4QH+DzQPMGycPptXbcbHA+gHzw3vinli/ +0NtG4s8U27zB32VE9pVlgdkaX+gvTqnImTm/LJCndkSP+8VdM8tzy2x80U+O +xD9fJ3xO/qx4DPRrvrr/cn8qD4yPohO/Bv3byP1guflzo5euf2dieW65jS/q +OS2yL6swnhB9/4+jqu8+XhFYpvGLXn/630K5ZyqMo0AvEk/RT7wE7ZU8oN+f +yru7eQ+9x/gns3MSj9r8xnyY9sEbA5I3Hwu0Ub9k3psm/oh1B33Ex2s7lgad +7q+Dk6OMC/x0LZ7EyysbhPdXdaPozLeMl6qUR5uXBist3gR66v8eO7SnrDJw +TvY8etGlxXm5ZyptfrZ5bHRBYXqM45nRX3vgzx/mnqkKJHv6bOkJ2j8yjmb0 +f+WHPQMPBzLVD423mL4zo+b6I8ZLMC7gJjj3o3/CI6d58x6cAuc8tDt8gfmJ +an2EL6Af0u7wBdd58xg8Mud+Vp/ijjd58w/+/LyX74UT4VwIHf98eB7rz+J6 +4HPQ4XQmaNzRP+H14JEsDrG4JHgk23/J33ilp8MlwRubv5O4Y3hj89cSd9xB +fBfz2OipU2NWN9wcuMnTx0g/pHmSeexD8chLPft5gexn9jW011zxxazj6PDF +cMLUD7wwPDD1AxcM/0O7wAHB/6DDAeHvjo7f+xeejt97oeInWtypiB/IR8Zp +o8NrY2davB/5CdcTv0F9/nVhxl3hdeWaKLrlM5Ce/+mtI9Y+sz3wiPhY6v+4 +uG/jjqQvFH/E+oUOr8R4ZJy2Fh90RvMw7YK/PVw3Onw3fs/o5v8cZR+EfYsO +BwTXTfvCd8P5oMP7MP+jwwdx3su4gPcxbkfzAJwOfCPtBecYE6Vd0KnPX4vH +YX2nPjeJl4GrQYevORllvwA/ybxxpTjKOZof0AvFv7waRYeHoV3gK8d74wte +Bk6G+oSXgZOhPuFlWnvzLbxMvPd7eBnWU+ofLgZ+Bh2OBk4GHV6mVpR9CufA +jF84UHgYdLiYUk+HiznunXvs1bkH3AvtPlKcyys6B6Yd14l7itd6Sru0F2cX +5+ntpC/35s9Fmj+LvXVwkdZBOBk775V//nrvPAEuBh7G9oPiX+Z4OlzMftnJ +1HO+uKRVOq+j3haIa1vp6fBu2KWUE/4X3fqhuBt0ygN386a33sHdoNNP4G7g +fnkv/O8TUeaH7jpfNU5d3ETXKDrrBTqcyz5v3wrnUqXfo8+rlVezpNj9nudU +Bx/9fs8/jgRayS7i91W5ixpn1FRYfin0m5NieyeUHg5M8vRbpXeSfc73XshZ +d7xpXijQ1dP/Kx17nvLUverAuJ75ocAcrePoyxd/nZUSH7L7XPo/3B/nG/Tz +GeL7OJegXcgvgP1mfkqKt4/9hn7xwMy5fdJc3Ha+F24OLo5+CB/3perf4tyL +x4FDox82qnPVjCGTjth+mX4Ip/Mb8TnMAz+I05nozavwU0+Kz+E57cTpXO3N +b3A330SZZzZ64x0e56A3P7yu+SH3u5ONW9zgeJp/Pf/0wi+bhownsXMzcSXw +BuhwB3A4dj45L2FL2yahwBXiIljXhoqPKBIXQX+AjyCfHOWHQ4GXoB7gJuAl +aF+4iSTxEpQTbgJuhN/Dj8CfsL7DocT2HfZFrc2bbJ4/emOLYV06bA9sFGdC +/U8TbwKvQvnhVuBMqB94EzgT6h/eBG6H8sDvvCaug3YcK74DPof3wunAU/He +s7+9ZXiPY0dMN38tcVjojHc4rDHihfjeGHFD8D88Bw7oJnFQtDs81Jvir2j3 +W8RhwUHxXngoOCjaHR4KXot2hNvqJj6KdoeT+vKeoZcuTN1o7bhh1uzk1K75 +xndRP3Be8DDUJ9wWOuWBl4ELovzwQeRPpJzkT2S88PuvVz+24Y5rXZ5Buy/b +Nik4q3ko0E+8DfNkQ3E3o8XnoE8Vp8M6Qv8hrvIT2o9TD9nKI8D6gt5O8ZbZ +R6N3VDzkNxWvn/5wcsep4fErPgr0Vpx69EmKq895FPrjitucp/kK/V3FVW6p +uMDGd4z6KS7xMd1Pca5WpbwGIdlj6HkDt20sDW63dR+9ieJCs36ht1PcZpdv +/ie9k+Ies49A76U4wPdqv0w/3618CtyXoTdXHgF4WvR+75/NT9682+LvoE9W +vGjiLNu9mOItE3cYvZHiDxOfF504vQW67zN/deV3aK99Dfpx5TWoq/0L+iXF +8ycugN2jjbvYIfwe9gvoxH9mv4C+S/GQ2S/Y+bbiBmPnox9UfN25Oq+gn/dQ +Hoot2nejt1b+hTKdP5gftfIO9Ne+GH2A4u1/Lt4V/bMXRi6rWXIgUEvjx+LI +yp/qPo0j5o13lc+in8YJ+lr5HRHXG32m4nsHNY6YPwuU/yJB4wi9h/I+ZGo8 +oP9O/j/Y+ehX5/dZEFsVsvja6MTZ3qFxxPzzkPJr7NM4snlJeSWG6nwAnXwK +IzUe0PvILwgOHH1ryzUjYy6vdw00Xpjf7lf+jrEaL+jkreii8YJ+VPkalisu +Kjp5Chqq31v+TPkRcS6BTlxxuHT0P7QJpq1q+HkgQ+PF4tkrnwj5M9DJo3GF +xgs6+SMmaLygkzfhgvb76OQR4FwLnTjnnJOgEw+cfTR6cmyH0+F2Jp8H6yB5 +PchjYfab8ln007iw+FLK40A+A3TyGhBnAZ2465y/oROfnHMbdOJ4s3+3/H63 +v9q6dufKwFBx+IzHA+ffz545/7DFI2Y8Epe4lcYpz7lH/iTEO0Yn7vH76j+s +L8TjRWf+fGTrWx0j/JPai3mpeUqvrLCf1RuKs2b3RyW98sP79tme31eh/L6I +G8vviR9L3FXGKfFXia9K/+y/Z3KkfYlHZvfd1xcv2xlbafHCLB/Fc19duu/y +vpT4lbyXOJbsLyzfkeJSzlC/Zd1f9+kvVyZlFgSW6nuNC3uga6+kxmUWx4rn +E88qQf2Tee+G26YNK889Zu1ofumBE3GZT1VafgjK36nkusv1UxF4jDw70ocr +LhnxsHgvcbGIh4VOXKz7vPv0fN2nr1G7Up9ZiiMBP44dldYm4e9LczYZ942e +t7ekqjp9i3Hf6K2C43oHErYZN235iG5vlpVRk2/1jl7Hy5dkfrkHSpfX7ux4 +D/SCCLe7y+ZZ9NjeLR5emuPmR/Q+zx26vI64fMHo40pWPR/OtzI6yn0l34v+ +8qzqiqnDi+x70Rd2KchseWqnfS/6qoi/sYsfYv3Ky3OEfmfB462X5rg8R+hF +2YUTqtMdh4CeMq7b3sQEN5+iH4pwpvus36A/1b5+sDzXxbv2/TT4LvN3+uO2 +h5Iyi+270LPX7SxPTHC8DfqDXh4i9C7NNnYcnLzfyo/eeET+eynVLg8R+jfr +d/VMynR+8Oj7G5RsTUxwcbqwS+dP+TG9Ot3l7fX9de0cgbhQA2afzn3G9Xuz +nzt0Xp5S7fL7oH97vnhIdbrLb+v76/Ic9G4vFYwJ82I8B72w+Oq06nTHOfj+ +uvwe/YGV6R8mJlRYf2X8HvbylqLneXlL0f28peh+3lJ0P28pOnwo72Uc7yzP +CiUmuLwq6Nsi/dblVUEflXrbqOp0l1fF7k0i7evitpm/ou7TzS9T+gu1yx++ +N8Wdx9m9TOqem1c84fxazL938ZURnotyMi7rRfIKuXFh81Ckf/4sr430TxZc +0S0p05XT5vkIN+3K6d+zWxwk6dnfXZsdOuHsHsuHM+W5UT1ru7wndo5x6XBi +2J6jnIy/tyf8/lx4/aCc6LmR/vyzPDXS04vu+DjMK1FO9Kvk72RxOaQfn5Y8 +uDzX2Td2D9vnRFboxOf2Xssr/t6g5oOTXXwz9M2R/u/6OfrEBv0/CW7/wn5v +eagO7v5+SY6Lp2fnVOr/6Ha+of5v3Kb0Xeqf/D3zyYV9N05bGdpgz7FzLY0X +noOer/5Me9i5kPoPz2feGKR1k/GCPv5Ai9ijJ1y+PD8+gOX5kj5a44X3otdX +/6Q90N9Rf6A8zD+s15QHPah1jXGB/lmTDTvC6xTlQS/SOLW8WtzraVxQHnT6 +Ie2Nvlr9xPgctX9r2Q+UE32B1lnKiZ6ndYpxgT5oddq6lGo3btE7aJxSTvSx +3rhA36J+S79E/5X6p8XJ5DxKdo7lr5T+juwByo/+T62nFrdHOusa4wu9d4/h +I6rT3fzo29V8r/kXLeu8P8xvGgdLOWPnLctJdPFd0Tus/m5czGB374K+M/7x +vk9Odfc36GM/2Nwsb7GLi0u54LDQKRd2XbJ3boBdZH4zKm+h7D1+j469lOWd +D2CHWBxd8ry1/DZt+d3O7uS7sRt5vvGzsrt4vsU7lD0z2jsHIG+U5bXkXunZ +nE+D2138HeoVu5T3omPX8V507CXei44908Q7B8A+oTx2j6B1x/Zd0ofLv4ty +0s7YyZQTvVx2JuVEPy/7zfKISV8v+4pyWl4I2Utrvf0Ice0szwL53rU+WhxU +6axTlr9DemydYJvSoOP9WH/u1H6Z70LHTua70Etkf/Jd6DWyDy1fGPdHsvf4 +LjtPEIe119unw2VY/iziUGrd53stX7rWX4vTJZ311OLtS++R1vaj4HYXf5X6 +oB7Qfa7E8hrghyw7it/7XEmat28lnjbvY11e9sxNH5xL/9jq3+z8uFmP3DzR +5ftgvbhHfAT1iT6j06DKgW1dv2J+vu0/KXF5rVyeHT/OCc/he2fVb3++aS8X +f5Xv8vPd+PE0LI632u3f83p+vaSL+zfttia+14s1S37GgavdCr08L/w/uvnh +SY87FzM55S/Oz5j/T7m+4cElY1xcNeo/blHfp2uOVlk923ys+qef0y7Uv+Wh +4NxJ32Ucl/6f76LeLE+m1gv+Hh37nOdY/jTZn5SHcg4rHTFkTs0Ga1/ff5h2 +xP6Z12nqW2G+hvby4wVRTvSKSHwtp9NP9kXuEVy8D/QxU/Kqm+Y5+4H/f6l0 +ZGryne47fX9a2oXvzeg7PsKJ0E783amLzX6o2urGqeWBGXlXvRWhKpenhrgf +Wt/ReS/ru8VX13tZ39HZ35GnCZ33bm5atHfg664deU5qi+wtF/sfDfwfU35M +rg== + "], {{ + {RGBColor[0.880722, 0.611041, 0.142051], EdgeForm[None], Specularity[ + GrayLevel[1], 3], + StyleBox[GraphicsGroup3DBox[ + TagBox[{Polygon3DBox[CompressedData[" +1:eJwtnHWgHLXXhnfn7s7sLg4FStHiFC3Fobi7u+uHuxb3AsXd3d3d3Wlxd/fi +/IDvefrOH7nn3TNJJjOTnBzLHbjlrmvuUjQajZvajUYfdJ2y0fgNOh70UUrZ +bDSmhF7A9eXhN6BfQG6F/wH0aq7tBv0PenDVaCwCvrfbaFxIvRXATehFlBXB +BfQsyhLgv1qNxtngJcF/g6+l/UH2Tx+HdRqNeej/Z+hdlMPBd0OH0u+94H/A +/2PQ7zPgFfl9I+3vAl8Hbybol5Sn4c8M/YryDPhQ6lwKPpg6i9HPI/BK6KKU +h8Ft6Af0+xD4Q+iZjG1xhvMn7frT7nnaXcu1U+AvBP8X+P9AF6bsxpgvg7+6 +w4deS1kfPC70OsoGvk/oCOqtBL6Pe03a43nh7Qq+Broe/HGgl1JWA5fQqynr +gseGXk5ZA9yB3kzZDDwx9BbK5uBJoJdQVvUTQQcy3vsZ75yUyUo/BHWgU8C/ +Dzy7vxnD7tTdmTE8ybUevGmht1AGg5cuMy82pXk/6EmMfxXwLbyfG/m9CXgi +6KntvIdfeScL0Nf1tJ0COgnv7VnudzW/B4BfBN8A3oL2Leh10C0pFfgM6Ny0 +uZs6I8B/Ql+gzdJc2xC6AeUv8LzQeSjvg7+g3rvQv6FfUz4E/w+6ENcXpHzM +77UZ00XgtenvlE7my8nQNeFfCH9N+H9Ch1I+49qRvJMDee7rqTM7zzsE/n38 +ngO8OPhB8N/QJZ1b3g+6DOUb8KqM/8W+9P8bdD7KB85X6HKU78CDoXNR3gZP +zb3O4N3tR7vPaPMWvM+hc3D9J8ob/J6Y+97sfbjvY5RvwY9AB9B2OG33pO36 +lFd4joWhG1BGgheBbk1fY1H/bGg/+rkJfDltp/NZKXfye3roa9S/y+8NXory +Nfh3+n6Ab7oVdCnuNcq1S5+Pl5lXk9JfP9cZba/k90/w1wD/CB0E/3vKSN8J +dBXKz+BBvPPVwb+A1/GbUH4DP0WbH6FPQH9irH+AW9xrfu6xKHUegL8CdHn7 +5dqE3Oce6CyUK6k/PuNcnrrb8HsxygyU710n8NeHLk39x+AtTHmFvqaFLgj9 +ynVLnZe413H0syz8E6Df0OYGZSH0a8r14LWh31FuAq8H/ZZyI3hd6I+djOtk +7rMpeC3wqcoQyrrgs6C/Uu8+6m9hW37/zrOszn0/ZAznwn8Y/AvX7gVvDv0Y ++grlZdcV9du8u7WoMy71X4TXYvzPwb/QOQL/R9rcBn8j6D7wp4N/MXRtyg++ +B+hctOkPfw7ovvyeHvwY9CXaHEOdBaCPUfYHzwZ91LkJnhX6AuUo8HzQHWhz +PPiJKjJUWfoxvO2ZJ/txfRfXAfRo6sxvffhHQ/eA/y/33pb6W0Nfo8wIHgo9 +hHd3iXKachu/h0CXKTMXJqSMT9mB388qyqCrcr8+6Hb0vTd4Gq4/DN2dMgX4 +fug93HNH6k+tbGSsG4LvZwzb2Y4620BXoXwNf6wy83JcytiUuXqRs8OpfxB4 +da4f634EHcr1laDHcX1u2n7Htzmca/PC/8h3A38I/O/hP0H7qZ1L3P8o+LOB +v4S/HfVG88zLcX1P+n+Va2eDD4ZOT52PqLMH/Kf5fRr8I6k/f/2e+3Hv/1Fn +QuhGnfS5Bf0fCJ6VOu91sv/dTXmykf3vCcrrjchL9/dfKEPo9y3m4QrKDdpM +6Tyvsg9+7t7azV57b92n8vUv6vzh+KqsowvhjwJPBT6/E/n/AW1Xhn7M2C+m +7kp+e9cyeF/q7UG9LaAXQN/n2jnwl4O+RTkdvCT0bcoZ4KWgf1Kv5F3NQJ8/ +8ft2+BtDf6bcAd4E+hXlKvCa0Dfck8CLQ7/nvleDH6Ht4bzPfcuMYST8E+Dv +RN9fUu9K8BrQT5wr4JWhH6m7gFeEjuxk75qKfi4Bbw2+FPpZOzJkVehijPFR +ZYv7VJl5ODf0U/d16qwCfdPvCV6iHZk/mne1LH3O2cteeyx4cC/7+nHgtXuR +ZdeA1wGPXUVerdvLmr8WvF4v7+U68Fq9yKmrwWv2IqeuAq/Ri1y7ErxhL7Lm +BnAf82wjxvC3c56+11dfcv9XnoJfADepsy74d+rsSttpyqyjHvyd4Hd57h3h +7cj1naBd+DvAr+A/QL3/43kvpb+O8x5+G/7O9DN5GV1oTp8J/kb2AX/SMjrk +Rr3IzRvd07jepBym/gD/L/i3wt8K/D/nBLjL9fvp+1zqjOW+AT7fMXHfS/i9 +I7/nBh8HnruIbrk7Y5uXtvMwhnvgTQh9uB2d80jGsXove8AV1GnT7l7qnOn3 +pd6j4Imgx/TSZq5O1tQFXJ8Iuin8s5RZ4M3Bf6qvgVuMYRP6+od6G8P/zX0F +/ia97Ls3g0vqbOkzc49x1DuKyPoJwU+BLwcP4d5X8LsF3ZK2f7sH+L655/Zc +3x46Dv3sRZ3xaPN/1DnXfYM6FW3+pc6zyjH4p0IfcS+gXKMMpM6NtLuI9hco +m6E38ftC8HDqj6D+g9S9zG/SivweDe+LZnSkfo6jyN60FGW4cwh6vDoP1x+n +7XW0vQD+edR7nWt7Mf6WehB4X3AFfhO8D7gEvwHeG9wG/wK+FTwtuADPRh99 +0Gf4fR5jmI7ft9H3fdzjJvBArt3ejF60Hr/fa0avu5jr6zo253An32Qy6myv +jQH+Bbox5RPwBPB/p82lzXz3TzqRq59CN+xE11uffn6l3m2MbTr1QO+rTFcX +4z67cr+xqDM2eHfwOODfqXMHdWagzl/031dk3VXqnuCz6fdNrk3L7w2peyLv +8HquvwFvA66f3sy8XcI55Bz23XeypvuDf6Xur+CntdHgz6DBB39K97YiMu2t +TvaLt6HvdKJfvQvdpBO92D6XpOxcpM+n6z6n5L77Mp75y8jYBs+1GuMczbUl +etEDzoA/tJf9+GTwgtQ5SR2dvhbtRc84Bf7C4K3Uc71XL3rJmeBFehpEvCPw +0r3I93PA79DHRJQr1Pt60V1Ohb94L/rK6eDpe7FFDwKPBX4ePJRn6oKf1W7R +1mQ8J2hXMJ4S/pPw59dGAT8Onlf9C/wEeD6/Qy+26zD6PAp8qHYS/LfpYwLK +ZYxnxV72v4uos1Iv+8rF4JV72Q8uAS8EvpK2L4BXhS5Ju9Wgs/diNx4Nf8Ze +7LpDwHP0Yncdo7wC3wkeAZ4XfBf4RPCQXubSCeA/GMvCfZm788G/WxsO/gy9 +2OQHKwfAT4EXUI/oxXY9Cv7Mvdi0h4GX72WfvgC8XC978/ngFXrZIy8EL9PL +3nYueNle9vLzwNP14js4EDxLL3bs4eBBvdi3R4Bn7cUGPhI8Uy828KHguXtZ +O8eDm+BHwIO1Dbt53pnAq/Wy918ObxVlifYG3/FA+M/AX1CdiDk6ud9FvbGX +/f4y6vcDfwhejjqr9LKXXwp/QvA74GXgTwR+F7ws+F91IsoPvM/l9V9ok3Cv +Q6mzE3X+5T77gRfWd6KsAg8po9v/p06kXUfbveAP1m9Cn+/Bm7QvMnd/+DvS +zz/0M4hyhr4M6g2D/xD8Oal/AHh/cBc8Afh18NLaQODXwEuBJwZ/Dl4ePC54 +JHhxx8847lcHBffgPwdeBDw2+GXwoso/6twHnlX5B74XPEhbmOc9hvHMyfP+ +0c3cmxH+f+AHwLMru7qZYzODB/bi6zlAmQB+EDwH/Ml60YN3hz95Lzr0XuB3 +6XtiylW8h6955mW4z+S8g3FdM+Dxof170Y93A0/Vi99hX+cV9U7VpqXdlL34 +aPaBPw74FfUy7YNefDr7w5+iFx19b/Ar7kO13a0fZ/ZG/Dr6gx6u9fk96Xca +eO/pp+L3XvD7QY+gjwHw34S/FW3n0B/id6n1c/X0grprNnPtJJ+pyO/NoOdA +13DPKEMngh5Gn/2p+2ore4my/Xftulrv+Bt8OHUmg77eyr59PngF1wxlUvBI ++Kdog7oX8/s3xnZLI/v+atqjzdgJ7pVz1raq93c8+oUuoM//qP8ztE3bSbj3 +G+CtwXM28uxbFtlntXX/hbd6M3bOj434bF5qxGY6S79flWdYBf6v0BG0nYCy +ajM+CN//UpTji9jgy1BeqHnaus+7l1Cea8TP8Dr4Xuh40A0o4/j9mhmDY1mt +fr7Fy9jk01DWVp/j/UzO9bdbsdObfgfoOe6j1N3dOUXdQZT11c2KvCv7O6XI +vqk9r12/Mv2cWEXHuQjeevW3se6ffmvoiZRrwafT9zXQ07Qh1VnAHzCGW+nn +oGb8aSf4/M18ywfdt6g7fy/XD6Zs1Mg+430Pgbba8cVNXea3/IOhx8AfCH7f +PZbf5zlO6A3wN9ZmdB+q29qHvi7tst+pv7+2LXg/91rGdAj3vb0Tm1isXbxf +M/bTGFuuzHz4mrYT1z5GfY2H0O8k+i5a4e3dTL0D6v69z8n12BzjH2X02Uug +J6gHwf+kFV1jjK7VjF66cG0zbtWMj3FoPUecP/o49q99tPo+9i6z5vZy3tZ2 +wBg/Y/0t/CYnc69ZwF9wry1qu6GPcmDtp5zJtevYtA2h6zSj2+sbPdH9B/5n +6vLN6CDa5yOUi/A/hX95lXd+J2Pertbfx6rninNGH8el9Du5c6aM/+rGZnxY ++9R+06ldA53YlOdBT1K+0ufn9D+L+3EzPqsNy3ynmcr48FcGr11G9h9I/bna +kYXDwHO2s6cNBy/s/ke9iak/WxndZxf407Wj++wEHtiO7rMzeFroStrv4Gv0 +BysLwNeCC/1f9DOA8iS/R2jncv0p8Ina9eqV4EMa2ZfvBR8KXqgTXWxP8MzQ +Tcv4UpYtY6NsTJmkGT1lV+pM385edxh4nnb2rgPAc7Tj//Fer9L35Z34xq8G +v9qJz/yqKnva1uAB0L/L+JyOgM7Wzbf+uoo9oAzy/epfcl1+DP+iMuvA9Tlu +ET+APqyt6vk4kPIo9S9wDlfxsykDfgTf1Y0v8acqPo3Nm/GZuA/vBX8W9Rht +rSJy7UboDs3Ycu7b21Jninb2523Ak7fjF9Y/fEWZfXg7+FNCP4S+oOyk7Kyc +d10iTzYu408bBP2Oa9824lNTjzhcW7idvVqbfSrnDqWfe0cruvPe4EHQX6v4 +V7Vt9Sft3IxP6YpOnmVu6JOd7DvuPzu7F4LHhfaUm9Tftox/bDfo29DnmuE/ +04j+ciZ0mXb20j2a2YN3auZezUbkwkaUCSinFdFNNmzGR+Xeol9Y++gM37Oy +BfxUM2vjHPAo6EruG9zjCvd86vzcCG8k9JwytNKuretYd7A6cTNxCueWc0zb +5Gr9CfB7nYxht2Z8ZbvSfgLo4634jpQ/Pzg3iuh9+sLO1BYqMifOLqJXOre0 +z5QJygZ11ZNou1g7+umxrh3oQ53wX6viW5uSuntqs5ZZO2UVH8P91NmynbUk +X9/H7kVklzLs4jLvcxPors2M33f4aCvjHx/+Vfr7i/hP/3LtN+MD3KuI7rYZ +ZfMy/SlPlAXKBNd8p4rN9yn8LcvUdV7eR/tjm5EPw8vIhCGMc4/2mHBg44VW +7rNQM3vG9EXiIHO5PsEd4x3NPLd7hP6+F8vUX7HMO12gGXn0XBm8fJn9X/3H +mJx9GZNyH92Ca/OB59YuKuIH8He7lv36kb2fPme/pXule/Rtnfjkle/GXDYr +E8ecoZ14hr5sY5qHUrZ3vUOv0s4A/6c8LxIHmds53c6er17ykHsZvKXqPWhw +PZZFm/Hh30W9JzrROfTnD6xl0Z31OpiZ8jD9r0f7QeB3W4m9+bybQ28ss+8N +gHbL6IzO+U+Uo42sgfU60e3Wgf7hnANv0068Tb/wN9DpecYjeIaptd/L6NHq +tMaT1HnVhZ/pxm+s/9iYkPqUcceX633dmMUdZfbwhdRNyjzHnWV8sK6Dyzrp +b7Zm9vj7y+AlysQC9XF/2YnO53tT53iqEx3BeMgMZd7/zGViBn7Hvewb+Vi4 +d6oT8mzzKLd5V6eD5wJ/Az4XPK8yHHyF9hb4H/062jbN+JP9/u7t3XotTNqM +bnNUJ/EX90QFmDrR7lX0KfvXR34efc4H/rmVa47duodUicWfRtunu1lP7qV3 +6wcD/14lpqjsUob9WD+/9c+nz/nhjabP/TrRa3yHxmHV4w6tYus4zoP5/UE7 +Manl24lL6Ccfqn3ejOxQbjzbyVw0bnszZRj4Ruj19bx1/t5URueaSr2im/H7 +HFdqs1LnX8ZzcTN7nbr8iz4LdU/iO0xXZp3dXEYHVC4p7y+r0r96qeM5gtKv +lg1T1PJhy1qnUrc6phkZ5Pvy+Saun/HqWu6qX91ehs7nHtpJLMOYhjEk+9RO +N8Zln74LfXtrQcdqxwe5JrgHnUa/XzNx2MWhnymTKWtqY0LX6OS3/FGUl6jz +KfSNRvyaurlG8U7ed/9zr2wkNvVNI3uiMcHvG4kLrtXJXjykE7+pZvYrreyN +7pHuxa82k6fxRd32S8rdjfT/FeVpyrpV9lX3rPVru++CWt406rWzZzN2lfad +sSDraCerL2v/KTu0yb6px2sMcCroO634bsfyPbRiA2r/jdfIOH/LLcbImdG1 +rHE+d9wbelkrRzezH6iz6Ps3DrhzO7kqj9Hn7GXqGdvUJ63ut6g6bHuMK7Lx +BH+OLyP7j4Pu1h7jSmw845ptj0lnaTwF3hPgsnypFZtbW9XxutaOpkGnl7l2 +ZD3/9Ru4zoyrjlNGzzEmu0KVvVJfkH6LsYvIaePT7qX6doxPq+M/3sh6OrKe +w0fRfg94MzGWe+j3qGZ04xnb4c/K9dFeA2+mj6OWqcrAYfyeyPEy/nvK9L+y +Mridd6wtoK2kDNSmNhdiBX6fBP27iozVZ2UM4VHw/7UTV3kMvH07sYuHwdu2 +469/hbbv8PuHduTPhu3ML+fZ243MOfOD3qrnsnPuzUZiCS+6B9U85+BTjeir +HzWis75Vt32ubvN+XadX5p3dDX2ZPt7z+9Zz+f16vRgXegS6HfRfyjj2xztZ +oZM+OtAVXdc1Ni7tXP6qFX1Hvc3vtG6Z/ILFytj12vTOaeO4rgP9b9ZXT1LH +O62d3KffWlkf/9Rr5KBO9Ff9Qvpv9A/Y3wHUnxD6ZCu5F6PrdfB2/Q6N+8/R +jT/E3ITVKPvAm6eT2PfzNf6+ru+6Nt9CX4nvzvjJ2NA3Wskjea5en+bErFo/ +p3vdFtD+7ewb3t+9/v1ubPhxlAm9xFmv19/ezbjH6iRe7Fo21q+/bskiulaT +30caa3Mdd2O3ar/qW5qqiH9JfcMcpIeh7yl7i+g2dzLWW1qxe9T3lioi182t +0T5Xztzbl7iOMZ37wbeDbwa/RLmjFd1U/45+nv/ctxnDBHyzU3qJCZkXpc5n +7s7mRdbP3dR/gL5u5ff+nehL6g+7VImt62M0T2cx8B/U/ZF6z+jL5fe33egH +5vB8Cm/qvsjcExwLeDh196SfwY34HveqkjOgX/R7rj3ZFztsV/izNuK3/EY7 +pS9rQr3L+6zrvq3tDP8d3tWb0F5ffHBvQDt9ecfDOtHx1Md8t9PS1wDazUO/ +D4F30ldv/KYvfaoj6B9T3t9trIxxX1/HnPRR6hf0m85Sx9eMJW0P/gX6LfTx +vuxn+rW3LaLLmVM2Mbzn6esjfm9YZL796d5URJZP0s2ev626MPge6s7ZTdxI +X4l+kqqbmHoX2tdODmF/7ns093yI+rPqL+TZHjSXC/4y4AfAH6prGQtuxZen +jrFjbVP3K5I/5Np+txu5OTZjOL3WZ9RrRnWzT5gXp69f/5F6zOv0WfbFJ2is +c9MiPtIZzb2A/6Z6q7kgffEVmpu0C3Wvgo5FnWOLxGrv5PoN+pL5fas+71bs +/gO1jxqJlfTTH9cX3+trxnj7YseaQ7ZVEV1qVupdCp65m3n0RD2X7unLWnId +3QG+Dnw1eDz34774Xt279eG6fyuX9HUqm9z7tJnd/4ZVyXU0duYcmbaeJ663 +y4r4a41vaHfNUyY+87L19DfX1/XlPs7v4xqJQWgLnFT7wO+v4nMwBrGIa72I +D00f28xF7Bxjr8pLY5F3VPHzGI8zj0u7b2SZ2KM2zwJl/MAnFvEFK+tG1H7m +x6r4u4wFmDuoL0A/gPbIKbTbx3haFf+YMT71GdeuMtN43vxFfFLaktrp2pD6 +f86u7fTla7vy8zJ6uP4FZar7lDFz9ypzIPSrGB+5pUrerDER5fwdysY6Dvg7 +eLYquXH6o/VFazcvXMQO1T90XBG/931V/GDGMfV1u57V/R+Af0Qjsc5Hq/gK +jO9oc+nL1u7S7l+kfud3VfETGvd07/P76zP5V32YebN8N/NmoiLycYMqa9xY +zBn1unJNGadSR5uljD2mXfaWOhrXJy4im97rxq9k7qvzwJjIbPX+MEW9R7zt +vCrS9gvK4kXerfFrbXVz6mYq4gvw995Vcq6MyT7dyTw2fmKO7XTqF63YI+Yu +msM4Xb0PGAPRJ6bfyPyTyeBPWiR+sGWVnChjVZ9XyWUyl+aLKjlC5thsVvtY +9LXcXSWH2ViqMUD1vEWgn1bJIzL3xpw3dcLXy+S96Ts8E3pQlRxaY7IfyC+S +f6usmawez+fdxA/M+dy2ynMZO9uuSs6Y8SzlRf/6PZsf6r7zbSt5Yuow5uA9 +34lMnBR8TSfxLONan9HPhY3kupjjp61kTtrSlFFF8j/9Nu7d6jrqceaWmVem +31n/s/uCa0Z9Q5tF+a6cfx/6TjNrQ71Zn8FHtR5ivoG61QGd5CFoHyxXJR/P +HAP7NSf5gWbsQeWf+ZbKQOOD5yLTtoSuUySepJ5rfoQyp1nF7+Le477zWjP6 +lrqO39/5oP/HnMMHm7E/5yhyb/283tM9yf3IXNyPuddUVeIV+s7G+M2K6Fg+ +97v1e/Gd6DvWh6y+Paq+t/c1J2qgeqX+YPraqpG8CPWGN5vR38xRUU6Zh68/ +SL9Qp5kc4Xfqd+i13+q659drVtmt/8P8Fq+5J7vm3ZfNUdGmMcfDe6grqmNr +LzzZjF5t/ogyVHtvLMZ0Js+7ubqDBibXfrMPytbwN+4mT0bb5YjaRjZ3RTtZ +f8J/zdjctjXndDxk7K5FfPraPebbSM2xURdzb1Af03fXKpI7t586RRGf0W9l +csD1XZvfoj/AXP1hRWSxa0lby/WlX2yXTmx/x2x/5p1p2+9dJJ9Q/GUzuqD3 +fb6bXPcr+SZPdZPffkWd56OP7X9V3tOzzdjsyh39kPrRtIfMuXyykfyrf+l/ +qSr+SHOPr25kv9H/rM1iXo3v+LtO+nup7tP80seb8XepO5tPqC9mWveIZnJ+ +7ukm9/PTbnSrj+t1NF03+615quYpebBDX642u3lZ2iX6En1mzwL01TqJuonj +erke261V8mbNpbkNvEMj+Tk3FImLOK/Np3e9udb01/mMo6AfVMnnNB/jffDZ +jeRavFMln9P8ihfq9rY1n/E29zLoWu3kcKpLvF0lF9Q8Gb+7euMUVfL11yoS +D35Tvb6R/BNlvXPbOf5Klfxk81VWrm3h76FvVcm9NA/njSo5oubnHFZFtzfH +5phO5pA5Xf91Yi+4V7zeSf6YeWTfaucXyQF+jrZHNpKP9GyVHGlzYF6oklNt +nszRnfiLzRe9txNftz5v16hr13WqD8pv/RJ0xSJ+bdsY51ypiD/3+So51ebV +uAaNt01unkKVnG1zpR6skrNtztVD+hYbyYP6gfU6a1/k0LJFcuKdm9pY5lpo +Z11cJX5kXo3veI36PY/XzTvx3ajvf1dE5/d8xl9F4v36Al6p578ybGQtx46s +csbHnJ/hVc4QmeejbjSqlofHwV+ukVygrvOBfpfWF1rlXIw5ToPq2JM539t0 +ovvoZ368mzzHopfvdShtN4F3Zzd54n3wD69ylsecoguqnM0xV+qiKmdzzIk6 +osq5JPOdjq9ydsk8qOfo748iuVknVzlfY/7VF/Bn7Mu6OaXKmR1zd3/gnqsX +mW/acF8XseNOq3J+x5xec7/HxKzUBzrxGeo7VB6vWb/zU6ucJzL/XJ1r/Frv ++kbHV19ybU+oYhOZJzZ+O88yBff9muuz9EWuKEvM/dTnqx48Qd3PWVXOFpkn +dg54nUbyrE7026tn9eIH1qe9Ar8vrBJ/NOdnIfcs+n9e/2oZH92xZXxxx9TY ++P6IZnRr/W/DHW+ZvKfjauxa0Cd3rPmD3cR/ze8a3okcU56pg19c6+EvwB+f ++67nN4f+X1/kuLGPk5vJKd23ik9+8k72n92K7EELwt+0L/mu5lcYlzc+v4j+ +HPSjd2tdVztHPXog/KIvOcD7mWfYiv56EXUOKHK+aUbKWb5b6ADKHvV6PMBc +plb0SM/NKIsWgR4Ef0ArOq55Ndopk1TRddWBtR99dm06bbtpuPZTEV16KHha +fcNl8lrU5bTXjqDP6VvRFw8GT9mKP0X9y7NuxlM9Q6DPe7Bj6eSc3KDaP7NE +Eft6Z/pfgDoDuL5jlRhEf/A1RXJ7jZHrwx+mLOZ7LUqdpbnXV37/Kj7wqam/ +VSd6irGAr/QRMabVusn1Nmbl/DQWpY/N+XgAbZcFT6XOTt0lW/ElbQ5/EPwJ +O4lbac+Zg9TrRmb5zhfvRpaZq6xfRhl+UJn8cWN7+gpu8Hs1c57Lc3Gu38Ph +718l7jalPjTKYtx7I/pZkPKhOYS1HdEHXge8N3TcVtbhDlViQJN2kk99Gv2f +p1yqEseZGP6e1N+jL3rJvtDxW/E7vF7r/6/qR6kSY5pEPwF1du6LrjOytm1f +dj1ViTVM474BXhs8sBO9RP1kFHinKvGdyTrZg92LJ3MfqBJnmaITX8pp9L9Z +N7n6/2lLVtmbjDWPA/+7buJerh1jOgc2k9dq3s7+zXz7qWkzlT6LMvlLvsuj +mQ/vtbPXL6uvUP8G5Xz6Ha9KToV5NMvWdZQvP3QT6/L9m3+ljXsu9Mdu4lXO +h8v07ZmDTj+j3e/4vWYt280xMNfg+25icj7j47UMUZb43Z0LR9S5mfphdlE/ +6SZPblyuj+wmBtAE/8O1W5p5Ls8hPsR9d+gmr0k/+z7Q17qJE/R1EuvUBl8I ++mo3serC9UK7aynnFslB2rtuO8bOgh7WSz6AeQLmPbzSTazC4MPL3cQ2/qt1 +otuLxBWMD5qT5fkV/Sr6KfWtmGdobGYP+yuTIyH+sJs8wvE6idPrE/XMlW30 +2+hTNp9cfVK9cpFaRuknVc+5TtnNvU7u5fvpl/iim9ws5+o24BGtPPu2lFv6 +4oNST1itSK6m/rRtipyDcI+7hj5PoL9h1O1P2wFF9NhPm9GB9QfuUMQm9byA +9ql26pLqqK3kmRsfMSZiPObK+nv53fT73t6X51R3V4c3p/qzbvLhXI/6/vSb +qDd83U0elevlm27ywJR7X3WT16Xc+6mb+K4ybXQ3cXrX3Q+Uv7jXGvB+7iaW +6dr8uJt80AnAH3WTozl+J2fNlMHmvKjbXFHk7NsfrknGvXY3Oe9+H8/GGZPR +t21+ySfd5CwqA+frJgbkGZMvu8kzU/4oz9XHzQXTT6JvyjxYz52YA3p2GT1S +eWKc2/MGw2pbSVlt/uAuveQ1ef7O86HmIBs/NFfnvXr9mkvsuR9j2tqu5hSp +Gxj3PqQTG9X1+3SVXBTzkJ8Bn9xIfvIY/1kRH5o++TuL+Hs9d6xt6xlQz/sZ +N/+ozJkc42zmPHuOyHw4Y7TGbc2bMXbruaP9attwzSq5uJ4TWaNKfqznRFav +kk/ruRJz1bR3je+bB2Y+mGcNXq6Sp2qOt7rSgbW+dDzfeQjfaAi/jwXPAZ6r +yJlBdTRzUE+BPxT+0CI+6Zlqv7Q5OeZzekZGfXVG6u5W524bLzKXxjwTc2PM +h9E23bu2ST3j6dof3/dH/wu14hs1f+YMaP8q8SzjG1v3EhM0XlSWyT0z79Sz +PCfSdoFWcljGLpPr5fmCEfDnbeV7rN5J3tO29DMnvOFcG1zkjIr5lOZhmLdm +3xv0cgbTnDTPeanzaF9rZ69WJfdY2ThfkXdm7ovnWfYskt+4dTtnip2TH5fJ +gdRv7/lh84fMB/Isj3PJOaWuZU6IuSFr9OX8sH4Z87JOrfdcx2+usXHMl6o6 +Z6yTM16DWznnZb6K8Xbjyj7fXK08o+eh9fXo51Hvdc2Z2+XYZi8yD2+okgNp +DvzrVfL6PC+wapUcV2V+Uc+fG8rk9pnj59m6M6vkRnoO6IwqsTbPK5nnsH0j +eUDfVMkr8xzfl1XOCXrW79sqZxI90+e5lPnq92mc0dii+TWbVclfVeasVCX+ +6z4yRkfiGVeCPtJKrNy977sq9rWxvHNgrtCKHbtBO7l82uCjq5xrvqnWb43D +medlfolxXs+v/VHlrLHn786vkovo2SX9CeqJ5lT+WeWcpufRfq5yntpzfGdX +yb30PNRi2n2M4Zsy/2tCX4pn3H+pcs7ac3CeW//I/QX6V5Xznp7126GOTetf +XbFKLNV9c/0q+dXGdDZtp75xAYP+zzRy5ldfizqFuRfn0/eqjGHVIn7BY4rE +YvUzmVOoX9j/iaD/7DDXvXZcK+fcFwevDP6uzFkT/WDG6PXTu+b01d9UJZ/W +MxdrVYlLeq7txir5tJ6z8Cze6UXy9PRBmcu5YC95sOa9mJe3XpW8bmOv+jT1 +bbpPb1QlX9pYrT4r81gX6MUONW/QMy8m0emXdg/etEr+sHvTJlVymNUTVq6S +56kupF9BOaNs2rhKPrP6kv/jw5iFsuzmKrm4nvv4f3NOhk4= + "]], Polygon3DBox[CompressedData[" +1:eJwtnAPYJcfWhY8a54vtTGzbySQTTGxr4oltTGzbtp0b3ejG/mPbtvO/76x+ +nqnnq9W7Gqe7amPtXTPlZjutvmOn1Wpd32u1+NeavGq1Juu2Wje1W63x6O/S +B3P8TYQTDbRaJ9HG5PhtnPRFlf7t9J9lzOj0z69brYU5dzLarvR/oP1Gf0za +wfQfK1ut7+kP0B6l/wDtS/pd2g30r+d+13GttYpWa33udT74WPCi4OXAE/Ac ++/J8E3DPiWiPcM63nFvRbqT/Dff4hP5GyAZz7gs801mc/zbnn8z5z3HsUvAq +4LXAm3K9IVzvC87ZlHOmRX4GfzcF/861tkA+CvLzwFtwfBi4Dz4HPAw8Cte/ +mr8j/A30B2hXgrcGb83zzMT1rgcvCz6W613H+Zdy/kGdnDcz8pv5uzTyo5E/ +zDlf0y9pD9GfmfGrMf4n8GyMG43r38rfm/kN6/EbLkM+G/JXkV/E8f9VeV// +h2wpft/myIci/wb55sgnBR8AnpT+5LSLuf9pjF+K8SsyfmfkmyD/h/E7IZ8f +fDx4Xvu0OcFHgeegPxdtK/DK4B8Yv5Xvj/uPDb4M/BvP/wy/6RL6OyBbknvN +wvi/6a/Psdn5uwfHpuH+H3B8Uu5/Cfh08BCeZyXwcI6vxfV+Yfxwxi+DfHbw +6+CPufbO4PEY/yzjJmT81Nz/UOTTMfZd7n8h8lOQD+Z6yyPfn3G7IR8d+X60 +aRh/Nngo/a8YP5Txo4LP5/pz05+E8fuBJ0Y+me+X/qOO5Zpf0/b1vhy7hvH7 +cHx88N7g8ehPSDsAPDH4euT7g/cCjw++CrwneEbwEeCZ6c9K2x08LvgK5LuB +FwGfBF7IvvelPwPtCeTP+s15xlN5jiX5fSvw+/Zk/HDkpe/Wb4z8AP5uydgX +eV/TIj8Y+TQcm562D3hH8AD9vZ3PjB/ie6YtQf9E2npcf0yuPx/Xv5vx9zP+ +DuR30lYFnwde2b7fFbwQ+APutz74As4/mfOX4PyhnL8s+AeOj+X64Hl+Yuyc +tDfAb9Iu7We9Lsv4lRn/NbLpaY8je4H2Dt/rcuSfIj8Q+WHcbwrktyI7lOuO +Dd4LPDb9cWnrgOcFv4N8HXVGP/N6fPB23H9r5KMhv8DncX5zbDeuPz3Xb3P9 +8xh/JHhB8LLgwxk/JeNvY/xhnfyWn2jjtPObdmf81Ix/n3GTMP5y/l7J+GNc +a7Qn6X/J3/cY8zTtAuQ3ON849hZ4T86fmb+fcXwyzv+C4w8hf7+Vc77z29Hu +5F4v+/0Zd4fzj3FvI3+Y/nf0v1cHeA/wX+DlGfsc+FjG/4djN3BsOMduAl8E +XrsTPXUJ+C7wdfQ/Yvwvzjnax35Dxj+vLulk7j9J+wE8E+1FZK/Rvu7kGby3 +51zG7zmbv8vx/lbh92zM9SvkZzF2Y8ZuAC7AZ4A3AJ8HvhZ8Lv03OW8s8B7g +MX3HtOn4PltxfBKu9xvXfpE12+f4VM4P+vcyfgbaLBybiXYa/cO76Z9Cm4T5 +szR/l6J9xvgVucZE/l7OX4D+8rRpwf8Fv8u9XmLMqIxd0d9Mf3mudybyZX2n +tA/UyRwbQ1ukzUQ2GDwYfCV4PvrHcmxu8Hy0D2krcWwldQnys+gvZuvE7mzC +/RcHL06/or8w/RM4fwHwwq5J8MngRe3TzgEvZ6N/Fu1cZKuAV+nkHsP6eWaf +dTT6G9J/hTFncu8NvR/4VfDZ4E3AbfovdBt7rY1TlzCmrZNAW7SXYyP7tN94 +R13+PsjYxbn+GrRNkf8L/hnZib4b2liMOV4bQH8r5D37tPXAL4NPZ/x6nchq +50QnY9bmeg/w9yLkS9HfDNlrzg/wZhx/nm9Sd/I9vixzT+/9AG0x3x/fu++c +Q/4c8oN9Hs6/uB0bPA9jLqS/jfqC/oP8fbGb3z62OrqbOejc8zc4V1YAr9DJ +nHGu/NyJPXTOdLnGjNpG+h36EzJ2EcZ81I4N+Yrne5/+e7Qv6L/CsV+Qvwu+ +qx3bpk5UF2rjduX8N8GX09+FsZ9zztv036J9Sn8n5G8gvxSsIzeomzXpWryF +NiP9z/zt9J9Ux/odOedH+ve182y/0z5u5xmno/+575X+Y7RX/cYc+5D+f2jn +cu63rm/6ZyM7vxcdrW52zc7cjY5SNznmxG7msHN3Qdq3tN9pQ5B9x6PMwvd5 +ijFLglfm+xxJf3bGz9mJfzBpNz6Qvs+N7bzruXrxPXznc/TiUzjWc9agfz7n +rGafdjp41kZ+qr+l0cHqXu/5Ryc6Ut3oM43Tjc3V1vrOx+rGB9L38R2vRX9q +7Z991zPPPI/zyPVDf1W++QLdfGO/9QxVfoPPPi79Mzh/nl7OOY12XDc6Qt3g +se3o36L/5NrgnFXpr+4ca8cH1DeZTh3XiY8yMdeciv4U6kvuv3Q3Pqq+qX71 +vZ2sGdeKPuvy3fi0+rL6zR/zdwT4QP4+BV6zG52prtTnWgl8qjqnEx9vvW7e +qe/yD/By4FP0UTrxMZftxufU19SPvQR8EHibdu7hu9FH0DfwHc0HXhe8bidr +4D7+bgneshOf+55GR6mbtBkrduNz6msaR6zSjQ3Xdjunl+zGp9eX/1yftx8b +o20Zy/XI+zqdfsfvzvtaivEnIz+xkxjgmm5skLbnnE5ioctoIzqJieboZg04 +9/VZLuxmTjgX1qS9RHuCdgTtduRXITuUdojzyW/M+BPAx3Xik4zP85zQScxy +n/FPNz6BvsB5rpludKi6U59q635shrbCWGUHdbc2qRMf7mXakeAjO/ERdu3G +Rmgb9Hld2xeDL2jW+E3d2Hxt/YWusW58Cn0JxwyAp3TOd6Jz7+7Ehmg7tNkX +dzNnnavbuTaNBzl2lbqc3/MJf1dHvrrvu513PZG+USfv/IJu1qxr1TGf+h57 +eZfPaJO9lz5MOzbwbVqXY3+2o2+V9cB/tzOm7CZGNDbUxt1M/3/0t23H5+l1 +4yPqG2pzNu7HJ9YXbtFvdePj6Nts5/vh2I3018Xf2Aj/pe4mhjJ20mbu043P +r68/fidrZWratJ2smbWRbwvelv6v2izwbuBdO7Gp2spdwDt3Yrd26SZGMTYZ +zXdG2w+8bycxxu7dxBTGEvocO3UTgxh7jKJuo+0N3quTGGP7bnx8fXv9pK27 +iRGMDbSxj3ViY7QtxmyzIj8OfDT4FfDj/N0DvHsnMckW/cSI+tD60q6NY8BH +dbJGtu0mxjG20eYuVcXn1NfchvlwJ/17GXMTsmM7se3b9zJ3tPGTMn57+r/T +f0Lfrh9faEFwTf/HOjI5he/pv+V77OXd3k+bl2P78r1m5Xv1+F7T6+ODJwX/ +zvmLgY9q/PlRkc8A3gY8GfgPY3HuPxw8LffeGfms2ljw1Mj/RT4TeHvwFOC/ +wLMZg4KnAbcYvzj4aLoLgUcDP8L1DgBfw/WOB99VZfxV4OPAizD+EPA8jB8A +LwE+BrwweHTw/OD9wbODS/B84P3As4EL8KLgQ8HzgkcBL1DnfnOAK/BPdWKd +cWnD6c9M2wH5lMj/5vkf5XlGgI/meY5i/Hj9+ELrMP4pxk7YT+xufLMNeGna +GU18PjbjlwNf1vAp44FfUp+Bj+d6RxvvIT8fPBT5uAPRweriPzm2IbJZaDvS +nwr5P8iWAZ8JXho8DuPfroJX5XoHgJfSpwQvhnxM8BDwSeDFwWOBn6/y/q5j +/AlyVf347ovx/GMY2/cT28pRPVfHJ9Y3XgR8BPgDzj+P80/h/GM4f+x+uKR/ +OLaR3BbtYPpzc78+8gP1MY2TXPPgQ8HLglvIZ5Iv43obyq+BjwC/X8c3PZBj +h9A/kvEr0y+Rz4b8KPAq4Ao8O/iTOn7gDxx7Qd+PdrfrFLw//c/q+II/gffx +3XC/Dfz9nL+j8SrXG6q7Dp4F/H9l9MTUnHM7/VfK6JnpwC/TP4zxyzG+zfiZ +Gb+XnA34c3Ue+Ajfl2oS+azgD+r4/sdx7DD6k/RjWyfWN3E90W5BtgHjN2X8 +ceC1waOB5wafAF4XPAZ4XvDBPP9K4IvAh4IPcv2Df+f+08nfgBcE/6SeBY8A +LwH+Qx0OPoVnmJ17t9XtrgXkCyH/Gfk0yA8BLwn+Czwj+HjwOnKX3G8e8D7g +OeV2kE8B3g88N/hb8FTgY8FrgUdl/FzgL+v48r9xbD91D/K56H/D+CnlS8ro +0S84tpJzCvlqmhrOn9PfCx4M/lOfDnw0eFVwjXwO8LRcc0vwxOBf5crkJMET +gX+RawBvBp4Q/DN4Pt7fl93Yru2430f6Nd34/o/SPu8mBjX2lEMa2ksMa+wq +B6Zv8mk3vv9xjU3UNs7hnOVeK/dyTa8l5zNmLzGCsYGcy0Tc/+F2OKTPuf80 +vcQcxhpycpNwjaWa9/81154UPAT8N/gb8MT8fZ1x97TDUc7Wi83X1uvvGxu/ +x9+H2rELE3C/e+lPSf8t7jd9LzZBWyCnNjnXX4br/8vx77j+Z93EXMZackra +yrc5dnU7NvNBrvFVO/zYO/QX4Pp/deNLy1Vf2AsHJ/cmZzOY/p/d+Jqf0Sbr +5Zj9Qb5nzvmunZjwPblqnufTdtbwojzPx4x9Btm17cQUa/fiA+n7yMnoO37I +mJvb8SE/KhNHzQceVsY2v9UN16CN/qYbn0tfS05mQe5xQzsc4GT0v+/G59fX +lzOexdi0m1jxJdr6/fiw+q6v8ayTqfN5f/8Y9yF7tYyfMxPydehPjHwB5D8i +/1IuFjwH+Avwx+DNeX9TgHcz9mY+b2m8Aj6K+foJ8vEZP0+zvj5VV9Bu1TYg +H8b4W8G3qXvBm4FvA98O3hi8Ofhf+WbwI5z/PLKxud5M8oO+N/V9nfu943sC +jwGeHvyR8wg8Ong68Ifgd8FjgWcEf+K6AI8mZ9oKP/0OeExjOrkt8PvgUcBT +gt92nqvLeJ5x1c0839v6k8jH4c+jyF8At+vIHwe/CC7BE4NfAb8GHgRevdEP +34OnAg8DTwD+CTwFeA1dDfAPxjPg+cDfc/7n4F24/+zgvXjfh/B+dq3yPU5j +/FfIR4AX8/nU9cin5Pw1waMg/1EuDDw/+Aeu9wV4AvC84O/An4ErdTz4Ndep +fA/XG835wflbcL0C+UTgl9QLyLvgCcDPg18G9/QpwC+CX+mHk9FPHMR8uo1+ +R3+lFT7/JW031+dwa2eu/3/64s5n8DrgDbnfFd3kQMx96LNeh/xK5GsgXxf5 +75z/oPahmU+/gR/QnjT2aK06PMT64E3Aj4JP5lnO5KYbg7+pMt9+aK73k/pG +e9/c/wfw3dqjJl/1XpX7f97wnaeBNwXf3Oj7H8H3aI/AG4B/Bt8H/rWJL56t +kv94o+Gbv64y/78HrwP+qEp+7AvwquAVeN4n9Dd43kXAl8mPGveCFwZfy/jt +EP+H8YuCZ+H4eMgnoG1qfIb8euRfIl9tIH6N/s1R7fiEnyO/SXvG8TWRf1Vl +fX4HXhv8aZXv8RV4dfBnVeKlr8FreL9+8lWjVsm3PVMl3/Q68mXAT1fJX7wG +Xhr8ZJV8zavgIeCKZ3jR+eSaoD96GV9ne55vB/q9MrnHb/Up6P+p/dG+NPph +vSp8/AHgCbT/Vfyti4v4EwdU8Y8uKOIfHFbF/l5axB7vV8UfOr+Iv3FoFf/s +kiL+xoFV/KELi/h/61fJZx1YJB+lXlI/7cLz7sTzjVnGV9gJ/JA6qUo+8uMm +3/Um+BL1U5OPe7EKf/5Ok/98F3wF+LMmP/IG+GL1V5P/eRV8Ifj9Jt/yOvgi +9VeT/1qpSr5sF/D4+ut1bMsVPNdC4JORb4T8hsYfPRW8Cfimxh85Bbwx+MbG +Pz28ij9zWRF/6laud6C+AHh+36d6SNsij8DYa/jNzxlLdpInvU3b28uc9di1 +vYxRJocwpAqHInfSd610E0MaO97i+fSf4u+lncSU92jLOLYc17vRa/A8uxpX +8xxvGNv0k/Mw12Fu9k/+3t3N2KHtXOsG5Nc211y7sS/7FtHvvj/+tXYtop9W +rkaq+NZuRfTb0GokhdDaoYg92pZ2D9e7i2vNRf9AnmNf7rMf7aAyMnNq5tIc +s0I1MnRo7VTEPlzFxe7q5beaJ14d+ajq9yL6d5UqtMXuRfTpqtXIMLS1RxH9 +uxp4FPCeRezL8lXy/DsWsUd78wx76QfJZWjbVbb0Z5NfKRPXGN/8TTuVcw4w +ZkN2r74l529Rxf4dWcTeD69iT48vYi9mLhN7Hqr/p46tYj8OK2KfbwHvDX4I +vNhA8m7m3w5n/OGcez/yw8HPcHwJ5A+Aj9A+gAeDH6ySn3sOvKT+AXgf8MPg +xc03VbGvhxax5+tUscf7FfEHNqpirw4pYs/3qWL/ziviL25Xxd6fWMQebl/F +PzipiL+zVxX7eE4R/3XvKvb43CL+0p5V/Juzi/i721bxP04oYq/VF9q7g4r4 +FzOWyb2Yg5nCWK6K/RxRxD/Zpoo/clwRf2nDKvb04CL+zOH6Y85jrjOG8U2V +/O21Tbx2dJX466omPl2kn1ymOc31+uEk5CbMp75svNtP3xzrutrefuzF2o39 +kjMYyR3o09bhZNZhbKcXrmbHOjyXfJfx4Kl1ahvkir+rwxvLH09O+6dODuld +uaNecktb1eF25M/G7yf+nbmd+o+/6S9Z597arMeqYPmHozl2j7rNGLCdmNjY +2BjcWNxjtyC7rY5MnXW78fhA5qnz9S7w/3HO8ciPAd8HXqjO3HSO3o1sd/Dx +xkrGB/RfbviDY10/nl+HN5YbuxzZh+pAv7/6v7neCPAR4P808fwM7eQ7/6wT +X+prW0/wF/3zaJO3k9+3PmUXbQ7vf12OnQ1eD1yCn+eaq9Xxyf4tsub01fRx +9HWMye/ifW4JHqVMfHo18l3By4DnbYef8PseU+YdyBXpM6rDVmzFl5TjOQF8 +bivcj+/3kDI2Vu5jNzkg8Pzt8ANyEoPKxPh+Dzm26cpwYnJv22tzwfvon9SJ +kV7jt/7RTex0UJ1crvld82sX1Mn9yn3/If/B+beUif/eqcO5yb05x1+pk3Ob +n2v92k1+xhzaXOZXusmtbaUPW6bG4Msq9mxUdXUzP7ZFvkSZOSj/Mhy8OHhG +8L7grcGjlskvrQw+rgq/cU3DvzjfvNbotEv1VcDT0D+J9j/6T9NG51mO7iXf +KUcnVyfneH2V3MIVyC7pJMdwZZW4UBuuLd+5ir4+pQhfs1A/tQfWIGzZj83T +tt3ZjS00h+Bc2qab3MIgY552zplGfWD83I4tnBE8Qz/39hm26ofPcq5YH1SA +d6zCt5xcpH5hnDK241/aumX0ofzLWUX4lGFV+KXDi9SXHVuFj7m64Z/Ud/Iv +xxapDzKuNJ7RZhnjbF2FbzmmSL2FcZj2aPd2Ys7dqvBHpyMfhHyPKnzLmUX4 +md2r8EdnFOF7tqrC/xwNnrjht5y71t+U/fCFI3Pt3eTWj6yTZzffLr9oDnkb +nuG/neSWT69Tm2Yu60n6Z9FGaafeRH71F/3ddmIOYw+NubmDQ7rJTaxZx/89 +Fflj9C81fm2nnsh6nmfrxP7WG8iPX1SH2zNX8Dz9dev4xvIL8odyAAca+3bD +DegT6RsNYsz/+omxnuolRjX2Or6OX6J/Mmc//K254IW7ya1ZA2gtoD6+vr45 +AXMxG3WTKzimjn9ujeBs/dTgWYtn/dAc/XAAXzbfVG5An2Kkb6E+pD97P2Ot +ORpuv06tnfn7y6rE2O/2EuMbexvj/tpLjGvsa/2huVnrL3r92AhtxctF+OPH +q/DvrxThjx+uwre/WIR/d23/DF5JPqaMrnwKPLgdPu+oOrV7qzX89E38XR/5 +nBy7mf5YRWoB6nY42d3q1EbOLXfD+DnKcKVH0mZ1fcgn0J9fv2wgNXTmhswR +WVt3Vj/xmzpV3apN0jbNCd59IByk8cU+3Gtf8JrqanWLPhzH7gI/Qn9x3y/9 +TTj2Riv24kdjtjq1beqwrRtbYXxsfvxb+lvq57ZS3/ObMWgRv1l/25qs1+Ux +tMWtcAIfl6ltscZlRp7/DvAdyBZl/J1lakL1d/7L2P2Mr+r4i0+A9zf+6Keu +SpukbXqtTO7QHOJ0VThv48HtGL8P8r3la5yfjNt7IPGhtZLOUetTlykyl51T +zsM36nCB5p7Xpz9rP3PVulZrXd+qw206581X6NMb043Viq+vjy3XoQ+m761P +JpelzlJ36aPLleiD6rvrg8v16HPqm+uDP9rEiMs3839snvmvVnxtfWS5LH1O +fWd9bHWgHI++t5ykXKmcqVyl/rvcY4c2Ef0fyuheOccfy/iIcl/66PqO+pRy +X/qU+pr6oHJdxrD6pvrEcl36rPrK+tByY/rE+tbqJHXTOVx7m4Hok53LxLvG +XsZM6uQpWoml9LnfaXS0vrgxi1yQPq6xjDWY1tZYY2Nt5o79rD/XobbWnLK1 +BNYUmGvesgz/4THrbaflm+7ib2unHqNXJTdpjnJu+mUVmfWtFf1z6+QWhzL2 +IK4/F+cf5G9rh1+dWF6llXdsfbIc8yCu9UbDPesjGt8+UMR3lF/ZqB2b4Rp9 +tQ6Xen2ZfNRG/N2gnZrYX8vMa+e3xzaWvyjjK/rM1hMbk42MzfQv6F+pD0V/ +e+43YiBxtr6r/qx+7Vu96PJV2+Fnb2T8/vrH9A93PRSJPY1BzbFon1dT99CW +pD+Z74trrIG+fdxnLVOra83u7Miuq3PugQ1/OLnfqxUO3vpr9Z9cvzZu6jI+ +2Bj0ZyjjmzknnZt76tOqf+rkaiagv13D99zfik0829ixTO5tN/BY9M8vUwfi +M+tP7Mr8+L0Vn0zfzPt4P30Yc7jqP7qtX2hr0d+C+/U5MAX9nQbig+mL6UPr +S2+GvABPAt4BfEmZvPcmtM3ov0+bu52asQ/UpXV8tzPoHzsQ/WYuRRu9mM9S +ps5DHez956Od00r+Qr5TfWwu5VWODZTJmQyRW25yKQuBr2olp2K+7psyultO +/1v6D9aJJU4tk69csY590k7p299fJxbRR9dXv7hMnt85Kv93YpnYxRjmpDKc +htyrHJFch5yG3K0xqlyHnITctTG0XIXz2boza6MuKpOzX5e5s0MvufyfytRt +W0s0faOPrPv0G/ot7/F9dlOna33u2Jzzn07qAq0HtIbbWidrnqzt1gfe0vVY +xDe+oUo96L1F8sd/gB8C/1kkX+D8MxYwhjSWlA81f3Z3kfz9d2VqxawZG1yl +htBaQms8F6+S73AtWaNTNPrDui1rtaz98n3KpWqjtdXW8CzGuSf1Uttj/k9f +wXt8T3+mMnWF1jj84topYwvVeeq+5WkLtVOj+kXzva2rNte2YjPePN0jjf30 +mLJHG3t+Y5V6h/uK1CtcWSY2MIc0CNlNVeod7pdkGgj/aD7/kyL5e/0Y/Rl9 +/tXpP1elnuGtIvl4+emjwG8Wyf8775x/J9JOo38v8j2QP12kHkF+xnqM54vU +WzxUpX7hhSL1EcbQxtJPFsmnGwMbCx/JtWrwPcbYyJ8qUh+hHlWfGvt0qtQV +y49OpA3X10I+aTvv8Fn6R1bJX11ZJL8hP2Qs9UiR+pDbq9RD/K9IPcURVfKR +VxTJr8hvmq+8vEg+5vQq+Zdbi+Rb76hSv/BokfoM15nrzTXl2tqiDHdpjPZP +GX7A+oX3itRDmB8w33NLkfzOnVXqTR4rUr9hvk9bZM1aXaVmbXO+5Zm91LKp +r60NtEZwySrPaO5ITtZnl8My9+k7kNuSkzKX52+Uq/KdmPvxN/mu5LDMxfqb +5ba0t1c1XK17W14vsw/CWtbBZZp9/XX9dmsQD5K76qU20fHyhfpsb9Bfqkxe +VB9FflEOzdyhnJvcmhyZuWFjRGNFv4G5Lt+R30YOztyUHJvcnByauS85OLk1 +OUdzVXJucpG+U3Nnm7byrv1m5sqHtfItzaGbS98cfE6VHLu5dnXEWVVqzK01 +V+ecV+X55UatuXy7TE2RtUXqoAuq1BBZS+QavAj8J3jyImvuvn5ssLbY/U8n +VMkxm2t2T8aizucyddXWV8vhmR/TVpjztpZ50TJ8gTXp1muM1Ff83u26qYX+ +nTZJOzXZf9BfkDZFOzXS1se7PqyrlkOat0wN/Omcu3QvtfGe774TbZ62798y ++yrkAOUFJb/d9yCfck2jr6zj9pqutyfL+FbuIVqwir6zTlQfYsMyNkBbsG5j +c4eUiZVmaHS99tV9MObul6b/SRk+0xji0zLHlKnTb23k1sH7znx31uivyG/Z +uZvafXPu94FX6CYX7/ueCrxMN7l+729dgj6L8dpkvp92agDcfzVVmdjNHL77 +1bRn+guuuZ8bm6sOvLqV2iFrzt/RVvRSi279lXWJxsTuNzFnt3yRHI25PPm4 +ukw8tVbD361ZJMd3Zz85H/e+WV9jLsicjntpRubIquR03NtkDs1cjzlHdaI+ +hrlIc0TLNjrS3JE5IvcKmYMzdySHK5drDs/cpDlM997J8ZrbNMdprtWcnrlP +c4QrFMkpmTs0J7hykRyWuUJzfNaCXdYKH2COcLUiOStzh+YwVy+SIzW3aTxs +7ndYO/sFzSGuWCSnZW7RnKu5XH0gc7HmZN33ZkwnX2LO1NpMc5TmUi+R82yH +o7GeyxzkSkVyauYmp+7Hdshhud/OHJt738y5mnszB2dtmzZR22gM3C1j04yN +zSFbm2BO1tyyPqsxgvsX9WWtk7VedgTz6986fKZzSs770X72JG6EfPFu9iq6 +x2oZ8Bnd7L2q68TOjxsP0l+WezzaSoz6ep2cprUPxtDmOj+qU8sjByUXpU5R +t6ytT1qHo5WrdU4PA8/Y+L/6sCPq1F1bf93V36/jM1lrYc5bX8ocubVb5nzN +na9JG6OVmGy9OnPWuet+o3Xq8HmTt+KTbwAep04sa/xnLYj8rzyIa2rzOj62 +MYQcmb7313VsifsRrLdbu861n1BH9cNnyyv4jobW8eGNM4w39O3l2OTarB8/ +rQ6nYEwoByTXsH8T41k/I9cwuA63rY4xd/JtlVo459DF4O/Ad7aic/eqw8no +k8uxydXo8+v7e47nusdxR97nmN3sfXQ/prV+cjbb1ok3jSXk7OTu3C/r3Lf+ +yHpEOQvjBuMHuQw5ZbllOYg363Ck7sX1HfuuzTE/2/jnxuv6FNZamoPQ1xiv +WY+XNvPZ3zthOzkH+Xxz8AsUyaGZm7d+bo12ar2fqMOpPNBLTkKuRU7JGNOc +xH7N952tFRsvX2HNgrW1+oj6itvX8c3ObvTXL3Vsmzkhc0PqTHWnNmoP8ECd +uWLOVv5g3Dpcxx7amzo1RPK68rtXN3L7U7bCh1gzaFxrjHp9nZhuvTI5HmM9 +9wzKU8lXnVAn5p+9zDfx25xUZ6/cO3y/lfvhvOW+5czdv3tiHS7MMSfXyV8Y +ZxpvblknZ2Gsbsx+bZ0Y3Ty/+X5jdzk67a72V+5ODtCYUB2oLtxzIDbbnMYT +/bw/db82fafm/cityBfJp5hzMfeiz7sLsquq7D02n24tyHLVyNc9kjO4og4n +LDdsPfmFdXIm5k7cPzAd95urTq229fKX1/GRraU2p6rv/BftlVZ0zod1ckZf +tMLBWIsyTj/7UtZqZ/3Jd1tL3G/Wp/m/NekvyviDqvDjji2a9b9KmX055k/k +IM0/uHdaDlkueccyv8Xf9GAvz2t8MAPP2OFZty9T+/ik/iD9c8vwU3Lo8glP +9WM7rBWRrzqvzD4A15j87llluHg5iC2KxLTGtuY45GfM8enbu76cr/py8ivq +M32FCfqpY5eDMF/5TxWu0DngXLiszF4gc0oXltEd8gfqF30784muBeeAc+HJ +fmybNk/bZ77IWOuaVvSR+UXrNcZFvuBA5phzbcxWvveuZbgTOSF5fvMH7gWe +ttEvV/djG7Xh2vJz+8mvqxPUDef0k3+fv0h9zlX92GZtqrb1bPBh4PmK1Otc +2Y9voA3Xll8OvqAVn0ff59p+fAF9AH2Ba/rJtekj6Ctc0Y9vpI+hr2EOzlyl +3LO5OdeXtkybqm09pZ/6Juvxzfef1I8vr09vvZP5kM3b4dTV1w/3U88yfpH6 +KPOp7vXXBpjrnb6fvaGbtbMeTqZti2xQkfqESfvZ9+c1XT/P9FMPM16R+pkz ++lkrrhnrEU7vp75hliL1CqeB9wLPXKSewfyl93INv8/9rzFmaoXDWUl9UIYr +U8fuUSb/YT35OJy/wEDs/chcbJnYQvs+vJWYw9hj0jJry5yEe7hnr8OPTtvw +7Q/241tp07RtC5R5V/oX+hmHNfrnpSL5hjPr1AJ7T/0Lc8Tat8eL8PP39MMH +atO17ff2c29ttLZ6wTr86lwNv/9AP76qOlBdOE+dtf8MbZU6OWxzEy84Z+qs +WdeuOS25Z+eEc0OdvGod/89afm2K9nvuOrrgq8Z/M1+lbzpGFX5/njL5GN+B +fuZRZfgHbaT5GPdOXtrL3ij3UF7Zy55u93K7R0/eWP7Y3yD/sEiZtWWOZVvw +Q/28S226tt18nLX86iNze39XWavaWG2t+nSYJrIMf6d/594FfRD1rfmKX1vx +wfQH53CNt1KzIP+8cx1boI3R1vh7zC35zuVU7q1TG2GNhPbiuDL5I+f/sWX4 +bGsfnCN31rFh2jLzacOa+agtllSVv727H35cH1hf2Jy4exOOKMLHyinLLTvG ++qFvG3t/ehnfSf9GX2bvIvz+hGX4YOeQewz8/te2EhMZG93eTyxvTG+9Y7+O +btMn0TdR3+k76HPKF5u/ca+J93izmQ/68jNyfncgnI17a+Sk5HLMT45V5f/Q +8P8OUUeM3/AH2lM5Q3WNOkcu0TV4aJmcpGvTGkH3JpgDt3Zw1MYf0r+SC7Mm +Ts7eNXx/PxzYQo2/JDdmztG9P3Ju5iLVuepedbK1kub03YvhOzbXf0Md26MN +uqlODtu9C+bEzW1b0/hzU8NlraM24vIyNSnaDv+PkDmLrGF9VXOg7qWRozI3 +as78q15y4ubS5eDcq3RwK9ycOVT34jifzK1aczRbmfWjP20O/b1eajDNrWuj +h5fxMbTdcoTuXTIHe2/zfNoyderT/XCMQ5r4TH9STtB57Hx+vJ9v2C6zxv22 +1iD+1fBXhzffR12pjXysnxqCD5p8l/k5azLcG7N8K7Ua7klxb4o1COeCz6nD +VVhzYu2J+s/Yyhy9+yHcM+LeEWs8zq8SAxoL6kO7/8SaUGvonP/WiloT4f/t +YM2DtRLWWLr3x5pSay/9PzbU0+rMi6vYVG2rNtjaWPfIuFfGmq4Lq3Cm1uyO +aIVLtSbTvUPWsFqrac1m3fCB1nJa0/pnw69Z6+oamqDhw/TftGHaMm2k9STW +iFmQuFwrtWPWzLoXZ4lWammtgXXvzeBWamOt2XDv0NBWajmsee43/J38mzUa +7zf5xa2b9TBNGX/IWhtt9kQN/+b6smZNPaA+OL75/keUqcGSK9bGTVnGv9T2 +WeP7dJO/sPZXmz2oWa/WGr5XZy+J+0fdzybn6146OWq5YGvmrYnUP7WWXps9 +S+P/PtDED2uU+T9K/L9ItOHacm28tYr6bCeXyafoyxljGmvKAQ1v4pfdy9hz +42E5XvfqWXMg92uOUI7bPW/uZZNzX7rhI+TizaGZ49LGP9tPvHNAmRoX9065 +J8m9Sdb4nVmlnu/qMnsC3XtoPdS1ZfbIuTfR+EcbZoy2Qx0fSv0mR66/rw8z +a/N+HmzWt7ykDvh/+6l5MGegTXWvnutR3apPfkc/613fXI7/kX5yEu6llDM3 +V+H/sWLNpzZsvn5yOO4FlJM3t2ON0LcNnysfbM3yk73U4Jqfsobnmybfbm2P +OQ33Ysqhm+v4f9ehPtg= + "]], Polygon3DBox[CompressedData[" +1:eJw12AfcjmUbx/Ebz/N4jCg7lIw3hZQVGSEjUlb7NepVKmQUokhlZWakqVIK +yYxK2XtvQlpUSNGO8Mr7Pbq8n8/9/1zX8Tv/x3me1zyP6y7ZoXvrbllTqVR6 +FrJ9LzOV6m2/d0Yq1Yumi2vRRo1XUC+eRdlTqSI5UqkzfG2ypVLd0lKpG8Rv +4K/Tc/YX8J6yHUzT7V9Ad8gdrv01mkijtX2E/2V7O1XF8tEE/a43Zg1ap70M +9ZD7sbZH+IaIvzdmeawD1hsbif2EVcYexHphI7DjWCXsAawDVs/2uOO62UHn +Efek4XzH+H6kw+KXeV6iUfY/1HbStpC5jLL/Lc/l+uukfRD+LpabbsdGYI9i +Q8VH+SpgbeSVoQ+wyjmTfqP/LnyNbA+Yy5XmkiXmS+/zFaJ75D6vfTg2V1yQ +2mPjsWHYHHEBaoeNwy41xmvi341bA3sCK4XNw3LSrdgLWDG5jxqvJ9/9rt1J +nq7YIzybsU20S5yPDrkOdXjaYfXFD1NjfbxhzpO0VRVnyi+u7/085/TRVPwm +zyQao/1j7LTtszTbfn5qyz9W+yW8E8W/ya2OPY4Vx17FfsWuxfpi+eV2NOeO +2GfmU0V8B996+z/jv/DdGXm8r9DIHMn5PmFbMO5Lc13K95D8AnF9aIb2vHSX +3FFycmD1eerzPK/f7OJi+nyF5xesGl8fviH4e1geuhMbiXXD+oo/57sEu1te +aZqP5aLbsBf5xvOtElegvtg87E6sWhwjTTbPLfJut3+R9u7Ocw9aw/Mr9gn2 +u9wMbAF2EluG/YVlYh9j/7V9xnEMNJdvHEdBnrNxv8WctcWz3kS8ivc+8d80 +EJyG/WK/lbyr5O0xl1/Fh81nRsyL53f8kPhv3of11007lGoqPoNfGM9UPIPg +EXEOepzvwozkeOK43rH/lv7y8hykAthCcymMF6Gb+AZgy7Eq4qo0DTuArcCq +i2vQh9hPMQ/7nfW3xtjnqIt4C99U27Pnz8VUvh7mUkk8iobzLxZv48ut7QKa +q7+jcY7jGbY/hG8orY9zyltQP/njPjXnH8TX0QbHVj4j8UfeJt5XxRNpvDFO +YIviPhIXp7v5RmMbsZfEL9MS7E9sJVZLXJtWYWewp6hOPMtYP1ob7yNK2e9I +DxrjXZ42cV5sl8T1wn4yt+NxnVgLYPnoE54Mquk4ajqOr23rxjPJ109OmmMp +wXefeDW9YH8CjYlzK64W966c3Y5/ILYAa6H9mDHW4iepubioeVym/wF8JbAv +Y+7xTtX/mXiP8PeO+yB7ch9M0l6GlvIUpyfk9Iv5ya8hLmKc5+Qewq6Q20Ve +UWwsdgQrh3XFuvM+iR2IXPpSfDHfGOyw+Eq+h+M+wAdgB7HS8axihflGY99h +ZbHOWAlsCnYWa4gNxUpi07BzWGNsGNZOf7Vtv3AMJeMe5KlKj2kvx5sNby4+ +S4W1F5S7z7aOvPR49u1Xw76yvV58gC+/8/KH+LBz8LX4Mpqqr7/5Gun3WeNV +wlZgpeyv5q0uNy2eGftV+O6U+ytPMe2NxBPEN2j7wXzaxn2Ab473QdZkDWhj +fxvPCnE+47cVn8CL2r/GfkVaFusTdkvUC8YeiM0TPxH3c7znjVNPWy9918Y3 +YVdSb2wx1pfvhVjv+U7SMfFE+gy7gZ7n2xz1AbZf3IAmYFviGmGdza2zvDzm +uVn/izKTZ3mkeYygheKX+XbLq0Mj41rGuoDtE9en8djGWCewveJ6NA7bhD3N +W0V/8+O4aCtPNqpg3CuMOzhbsk5Pp59i7aA5cr+X+x72i7gNzcN+xF7Atoqr +0xBsKTYOWxnvDeqDzceaYGVtPzfmZcb62zxKYIPifsIuj+cda0Sfy6tJw+Vu +k9OMr5zt9zwN+HOKJ9AWnmtpMN+yqGewXeLatMJxNBTfL+cBxzvdsc3HcvBV +MMZinuL0oNw5WEHsWfFXfKWwjtht8ivZbok1wLh/8ZSjhXxFqSPfLO2P870Y +taDculhPbKmcesZrj7WPdUU8k++3qGfoA77jfNfGnPm2Z03u9Szqp5JR/0W9 +pH2GvD3GfBHbpr0GDZW7PHtS0/QQbzDGRiokNx/v4PSkVoma5V6+C/la6K8F +9mq2pCackpmsKZ31n4U+ypG8X/qnJ/VR1EmF9XcLVl4fb/PM5r8u6opYq6PG +ofnGOKZ9FvaH+N70ZA2PtXwedjrOMS2PNRzLiPeG+FP958ZaY9mxPthe7ALs +ViyFdcPWpCU1ezMsVzyHgrVY/qiH4tiwgdgerCjWPuoKbBC2DyuG3YPlxZ7B +dmMXY+2wD2LdwzrRSuw0di7Oq3gVn1/qJnEWud2xdWn/LEupm+MbQO5X2I30 +MrYjakbsoPgmegPbh6XHt4Z4l9xcWKv/36eux3LXolK8A5znbHw97W/ji+Wv +BV9W7FFsS9o/pyPVHEuz0wvbgUlLtcTGYlv1dUafTV2jceI89DTfTr4ifG35 +csc6iK2PGhG7C5tqsB+jtqeZ2HfYNOyY+A6ahR3G3sS+Fd9Mb2KfYe9ix6NG +pNnYEWwOdkLcgRZFLRd1R9Rx4vtoMfYHNhv7U/wfWoj9FjWK+T0l3h73XnxX +RI3N9w3WjCZhe2NNxb4T30JvRV2OzcfOiB+KZx87hb2PnRI/kJ7UkFFLTsF+ +iHqVZmCHYp3Gjopb01Ts61jfscFRSNqf7qJ/am6T43uBpzlN1vR5PBfY9+JW +NAX7ChvN28R1mOc4lrkuleO+wCfGN4G+xtEGbL3trdo78XUy1p/iQ1FXYfVi +ncGOiFfob7xtU2O8ro+V4t1RN/PljmeGb4+4kj4X2G/Md6v4Ob4rYj3je5fe +11ZeXCjumbgH4p2Bpcf7mfewvEb0kjG+jGsZ95B+nspI6qe54iJx/8q7LiQ3 +M85prCv2z/ANonXGWGPbzJjnYo2Wu058Md9BvlzxLNjuyki+s5ZG7RI1OfaN +uKb80bEWpSXrQ5kcSX0bdW7U/lNoM9bAfD4136qxTpvzep6G2B5xNRqEbcBq +8e6QOyQtuaZxbevwbU5P6peoY5bEsxXHYr4z+abHPMVlY923/wrWIC1Ze6pF +/SivJHWV+yHfvfj1tkfNrWHkih+jcTx/xLmKbx3t1eWuxUpTd2wB1odvvPhP +vppYt1gX+NZE7UPdsI+wffrub37F4hvMGPuj9pf7Nk92asE3KJ7zWL+d88K8 +jeM+iroxvhFjfaEmfP34+mOvx8s13mM2/bGB2DviTGqJDY4aHXsrPamHoi56 +Jq43NlmcEc8DNhC7FJtl3K3mNiDmGHUoTeLJSk35nuS72bFljW+heE9gt4hL +nV/zhsb6a977ovbjaWz/LB3X76qMpL6akJ78jxH/Z5TwEiwfdRJWLJ51/c0+ +v2Z3lNeLp6d+T4sL4/uj9ohvav2tju8uujRb8i0Z91d8T5XNTP7bqZYz+caP +b/1Wxq14fl0/IvfnzOR/lWHpSS0eNXlR/lfxytovwu/mfUXcmu8auRvEp7T9 +Hs9lZvK/wbVy3tI2OXvyfbzSHLrrK/6wOsm/kdqb34tR32LZeS7PTP5Tqpoz ++S8q/pMak5m8+1vGdZLTMjNZs4vJbSm3pdyfxVfhS3guiXelczVXbj1sp/ga +ehJbHd8aUVfrr4Ocq6mruLbj2Hn+GsW1ijrlKsrL3zquFX9F8Y28B/RVl8bq +b4/2xtgX4lo0Atse5zK+SeRdj42JGk58PW0XV6R+8a7j24vNzEjqoRg37pXt +4i6OLWesl9hOcYuYD88i+1+ay9H43ybWc55/856O71VtdfEd+r+a+htjFU9F +bKn40qgHsPfjHam/T8QlqDM2ExvG1zK+KewPNW5pnn9lJv+hVcmZ/OcX//39 +D9sKp2w= + "]], + Polygon3DBox[{{1954, 1953, 2492, 1568, 1569, 2493}, {2359, 708, + 766, 1640, 1641, 2500}, {2351, 1209, 961, 1340, 1809, 2352}, { + 2095, 1471, 1577, 753, 707, 2357}, {2451, 1480, 1329, 960, 755, + 2151}, {2096, 1472, 1668, 770, 979, 2358}, {2220, 1660, 1271, + 1272, 1661, 2221}}]}, + Annotation[#, "Charting`Private`Tag$398102#1"]& ]], + Lighting->{{"Ambient", + RGBColor[0.30100577, 0.22414668499999998`, 0.090484535]}, { + "Directional", + RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], + ImageScaled[{0, 2, 2}]}, {"Directional", + RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], + ImageScaled[{2, 2, 2}]}, {"Directional", + RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], + ImageScaled[{2, 0, 2}]}}]}, {}, {}, {}, {}}, { + {GrayLevel[0], + Line3DBox[{1863, 15, 1876, 29, 1890, 43, 1903, 57, 1916, 71, 1930, 85, + 1945, 1946, 99, 1964, 106, 1971, 119, 1983, 132, 1995, 145, 2008, 158, + 2021, 171, 2130, 209, 238, 184, 232, 218, 1375, 185, 1376, 186, 1377, + 187, 1378, 188, 1379, 189, 1380, 190, 1545, 212, 243, 647, 1159}], + Line3DBox[{364, 1, 1533, 197, 221, 682, 1197}], + Line3DBox[{1217, 2, 1645, 364}], Line3DBox[{1219, 3, 1217}], + Line3DBox[{1221, 4, 1219}], Line3DBox[{1223, 5, 1221}], + Line3DBox[{1225, 6, 1223}], Line3DBox[{1229, 7, 1226, 1225}], + Line3DBox[{1231, 8, 1229}], Line3DBox[{1233, 9, 1231}], + Line3DBox[{1235, 10, 1233}], Line3DBox[{1237, 11, 1235}], + Line3DBox[{1239, 12, 1237}], Line3DBox[{1241, 13, 1239}], + Line3DBox[{233, 14, 230, 216, 1241}], + Line3DBox[{1888, 28, 2122, 200, 233}], Line3DBox[{1901, 42, 1888}], + Line3DBox[{1914, 56, 1901}], Line3DBox[{1928, 70, 1914}], + Line3DBox[{1942, 84, 1928}], Line3DBox[{1962, 98, 1942}], + Line3DBox[{1981, 118, 2127, 205, 225, 962}], + Line3DBox[{1993, 131, 1981}], Line3DBox[{2006, 144, 1993}], + Line3DBox[{2019, 157, 2006}], Line3DBox[{2032, 170, 2019}], + Line3DBox[{1381, 191, 1382, 192, 1383, 193, 1384, 194, 1385, 195, 1386, + 196, 1546, 215, 228, 684, 1199}], Line3DBox[{2044, 183, 2032}], + Line3DBox[{219, 198, 1863}], Line3DBox[{320, 213, 1381}], + Line3DBox[{220, 214, 2044}], Line3DBox[{231, 217, 1962}], + Line3DBox[{219, 666, 937}], Line3DBox[{220, 668, 940}], + Line3DBox[{231, 468, 812}], Line3DBox[{320, 758}]}, {}, + {GrayLevel[0.2], Line3DBox[{1863, 2265, 2266, 2138, 600, 2248, 2389}], + Line3DBox[{1876, 2137, 2414, 2665, 2170, 2267, 2268, 2140, 2321, + 2403}], Line3DBox[{1888, 2066, 2531, 1887, 2065, 2530, 1886, 2064, + 2529, 1885, 2063, 2528, 1884, 2062, 2527, 1883, 2061, 2526, 1882, + 2584, 2416, 1881, 2583, 2415, 2525, 1880, 2060, 2524, 1879, 2059, + 2523, 1878, 2058, 2216, 2522, 2501, 1877, 2057, 2682, 2171, 2283, + 2300, 2282, 2284, 2384}], + Line3DBox[{1890, 2417, 2585, 1889, 2139, 2418, 2666, 2172, 2269, 2301, + 2365, 2287, 2385}], + Line3DBox[{1901, 2074, 2539, 1900, 2073, 2538, 1899, 2072, 2537, 1898, + 2071, 2536, 1897, 2070, 2535, 1896, 2588, 2421, 1895, 2587, 2420, + 1894, 2586, 2419, 2534, 1893, 2069, 2533, 1892, 2068, 2218, 2217, + 2689, 1891, 2067, 2173, 2532, 2489, 2285, 2141, 2322, 2369, 2286, + 2395}], Line3DBox[{1903, 2422, 2589, 1902, 2423, 2590, 1904, 253, + 1602, 301, 540, 1050}], + Line3DBox[{1914, 2078, 2544, 1913, 2077, 2543, 1912, 2076, 2542, 1911, + 2075, 2541, 1910, 2594, 2427, 1909, 2593, 2426, 1908, 2592, 2425, + 1907, 2591, 2424, 2540, 1906, 375, 2690, 1905, 256, 1561, 258, 490, + 835}], Line3DBox[{1916, 2428, 2595, 1915, 2429, 2596, 1917, 2430, + 2597, 1918, 2490, 2667, 2143, 2142, 2194, 2249, 547, 2303, 2397}], + Line3DBox[{1928, 2081, 2547, 1927, 2080, 2546, 1926, 2079, 2545, 1925, + 2601, 2434, 1924, 2600, 2433, 1923, 2599, 2432, 1922, 2598, 2431, + 1921, 2691, 2221, 2220, 2692, 1920, 2145, 2219, 2144, 2668, 2502, + 1919, 2195, 2288, 656, 2302, 2376}], + Line3DBox[{1930, 2435, 2602, 1929, 2436, 2603, 1931, 2437, 2604, 1932, + 2438, 2605, 1933, 2491, 2669, 2146, 2197, 2250, 2196, 2323, 2355, + 2377}], Line3DBox[{1942, 2083, 2549, 1941, 2082, 2548, 1940, 2609, + 2442, 1939, 2608, 2441, 1938, 2607, 2440, 1937, 2606, 2439, 1936, + 2694, 2226, 2225, 1935, 2670, 2147, 2222, 2224, 2223, 2693, 1934, + 2198, 2199, 2174, 2304, 2398}], + Line3DBox[{1946, 2550, 2084, 1944, 2551, 2085, 1948, 2552, 2086, 1950, + 2553, 2087, 1952, 2554, 2088, 1954, 2493, 2555, 2089, 2176, 2510, + 2703, 2270, 2150, 2326, 2327, 2252, 2371, 2390}], + Line3DBox[{1962, 2125, 2124, 2661, 1961, 2123, 2620, 2485, 1960, 2212, + 2619, 2499, 1959, 2260, 2618, 2509, 1958, 2508, 2617, 2259, 1957, + 2503, 2616, 2230, 1956, 2494, 2615, 2227, 2229, 2228, 1955, 2673, + 2201, 2202, 2175, 2306, 2307, 2305, 2411}], + Line3DBox[{1964, 2448, 2621, 1963, 2556, 2090, 1965, 2557, 2091, 1966, + 2558, 2092, 1967, 2559, 2093, 1968, 2560, 2094, 1969, 2672, 2149, + 2335, 2340, 2362, 2405}], + Line3DBox[{1971, 2449, 2622, 1970, 2450, 2623, 1972, 2564, 2101, 1973, + 2565, 2102, 1974, 2566, 2103, 1975, 2567, 2104, 1976, 2700, 2261, + 2336, 2363, 2392}], + Line3DBox[{1981, 2109, 2571, 1980, 2108, 2570, 1979, 2107, 2569, 1978, + 2106, 2233, 2568, 2504, 1977, 2105, 2684, 2179, 2153, 2292, 2155, + 2329, 2404}], + Line3DBox[{1983, 2452, 2624, 1982, 2453, 2625, 1984, 2454, 2626, 1985, + 2572, 2110, 1986, 2573, 2111, 1987, 2574, 2112, 1988, 2701, 2262, + 2337, 2364, 2393}], + Line3DBox[{1993, 2116, 2577, 1992, 2115, 2576, 1991, 2114, 2235, 2234, + 2696, 1990, 2113, 2181, 2575, 2495, 2294, 2158, 2330, 2331, 2295, + 2396}], Line3DBox[{1995, 2457, 2628, 1994, 2458, 2629, 1996, 2459, + 2630, 1997, 2460, 2631, 1998, 2578, 2117, 1999, 2579, 2118, 2000, + 2702, 2263, 2338, 2264, 2394}], + Line3DBox[{2006, 2119, 2580, 2005, 2239, 2238, 2697, 2004, 2161, 2236, + 2160, 2676, 2237, 2003, 2204, 2297, 2341, 2407}], + Line3DBox[{2008, 2462, 2633, 2007, 2463, 2634, 2009, 2464, 2635, 2010, + 2465, 2636, 2011, 2466, 2637, 2012, 2581, 2120, 2013, 2685, 2184, + 2339, 2185, 2347, 2344, 2406}], + Line3DBox[{2019, 2242, 2241, 2698, 2018, 2165, 2240, 2164, 2678, 2505, + 2017, 2206, 2298, 2342, 2343, 2314, 2379}], + Line3DBox[{2021, 2469, 2640, 2020, 2470, 2641, 2022, 2471, 2642, 2023, + 2472, 2643, 2024, 2473, 2644, 2025, 2511, 2645, 2348, 2026, 2704, + 2349, 2350, 2186, 2188, 2345, 2187, 2346, 2408}], + Line3DBox[{2032, 2167, 2243, 2245, 2244, 2699, 2031, 2209, 2210, 2182, + 2317, 2401}], + Line3DBox[{2044, 2275, 2276, 2183, 2319, 2320, 2318, 2402}], + Line3DBox[{2122, 2056, 2121, 2660, 1875, 2055, 2521, 1874, 2054, 2520, + 1873, 2053, 2519, 1872, 2052, 2518, 1871, 2051, 2517, 1870, 2050, + 2516, 1869, 2582, 2413, 2515, 1868, 2049, 2514, 1867, 2048, 2513, + 1866, 2047, 2512, 1865, 2046, 2688, 2215, 2214, 1864, 2045, 2681, + 2169, 2280, 2299, 2279, 2281, 2383}], + Line3DBox[{2127, 2100, 2126, 2663, 2131, 2099, 2563, 2486, 2213, 2098, + 2562, 2500, 2359, 2097, 2561, 2358, 2096, 2695, 2232, 2231, 2357, + 2095, 2683, 2177, 2290, 2308, 2289, 2291, 2386}], + Line3DBox[{2130, 2129, 2649, 2487, 2033, 2477, 2650, 2034, 2478, 2651, + 2035, 2479, 2652, 2036, 2480, 2653, 2037, 2506, 2654, 2246, 2038, + 2507, 2664, 2247, 2132, 2136, 2257, 2278, 2277, 2374}], + Line3DBox[{2372, 2455, 2627, 1989, 2154, 2456, 2675, 2180, 2274, 2310, + 2367, 2296, 2388}], + Line3DBox[{2373, 2134, 2135, 2133, 2655, 2488, 2039, 2481, 2656, 2040, + 2482, 2657, 2041, 2483, 2658, 2042, 2484, 2659, 2043, 2498, 2680, + 2168, 2211, 2258, 2334, 2333, 2361, 2381}], + Line3DBox[{2375, 2151, 2451, 2674, 2178, 2273, 2309, 2366, 2293, + 2387}], Line3DBox[{2378, 2271, 2272, 2152, 2328, 2370, 2253, 2391}], + Line3DBox[{2380, 2360, 2332, 2207, 2256, 2208, 2166, 2679, 2497, 2030, + 2648, 2476, 2029, 2647, 2475, 2028, 2646, 2474, 2027, 2662, 2128, + 2191, 2193, 2192, 2382}], + Line3DBox[{2399, 2311, 2313, 2312, 2254, 2203, 2687, 2157, 2159, 2156, + 2002, 2632, 2461, 2001, 2705, 2352, 2351, 2409}], + Line3DBox[{2400, 2315, 2368, 2316, 2255, 2205, 2162, 2163, 2677, 2496, + 2016, 2639, 2468, 2015, 2638, 2467, 2014, 2686, 2190, 2353, 2189, + 2354, 2410}], + Line3DBox[{2412, 2356, 2324, 2325, 2251, 2200, 2148, 2671, 2492, 1953, + 2614, 2447, 1951, 2613, 2446, 1949, 2612, 2445, 1947, 2611, 2444, + 1943, 2610, 2443, 1945}]}, + {GrayLevel[0.2], + Line3DBox[{1217, 1646, 1388, 2688, 1218, 1552, 1401, 2682, 1244, 1623, + 1751, 1797, 1814, 1725, 1847}], + Line3DBox[{1219, 1389, 2512, 1220, 1647, 1648, 2522, 1649, 1650, 1553, + 1556, 1554, 2532, 1724, 1601, 1753, 1754, 1752, 1830}], + Line3DBox[{1221, 1390, 2513, 1222, 1402, 2523, 1245, 1651, 2689, 1652, + 1653, 1654, 1557, 1561, 1558, 1727, 1603, 1757, 1818, 1755, 1831}], + Line3DBox[{1223, 1391, 2514, 1224, 1403, 2524, 1246, 1415, 2533, 1258, + 1655, 2690, 1656, 1657, 1658, 1659, 2668, 1565, 1730, 1731, 1729, + 1758, 1853}], + Line3DBox[{1225, 1392, 2515, 1227, 1404, 2525, 1247, 1416, 2534, 1259, + 1428, 2540, 1271, 1660, 2692, 1662, 1663, 1664, 2693, 1665, 1570, + 1734, 1735, 1733, 1760, 1861}], + Line3DBox[{1229, 1394, 2516, 1230, 2584, 1406, 1249, 2587, 1418, 1261, + 2592, 1430, 1273, 2598, 1441, 1285, 1666, 2694, 1453, 1298, 2615, + 1572, 1695, 1700, 1812, 1832}], + Line3DBox[{1231, 1395, 2517, 1232, 1407, 2526, 1250, 2588, 1419, 1262, + 2593, 1431, 1274, 2599, 1442, 1286, 2606, 1454, 1299, 2616, 1667, + 1787, 1795, 1803, 1796, 1843}], + Line3DBox[{1233, 1396, 2518, 1234, 1408, 2527, 1251, 1420, 2535, 1263, + 2594, 1432, 1275, 2600, 1443, 1287, 2607, 1455, 1300, 2617, 1701, + 1788, 1813, 1822}], + Line3DBox[{1235, 1397, 2519, 1236, 1409, 2528, 1252, 1421, 2536, 1264, + 1433, 2541, 1276, 2601, 1444, 1288, 2608, 1456, 1301, 2618, 1702, + 1789, 1703, 1823}], + Line3DBox[{1237, 1398, 2520, 1238, 1410, 2529, 1253, 1422, 2537, 1265, + 1434, 2542, 1277, 1445, 2545, 1289, 2609, 1457, 1302, 2619, 1635, + 1790, 1636, 1801, 1860}], + Line3DBox[{1239, 1399, 2521, 1240, 1411, 2530, 1254, 1423, 2538, 1266, + 1435, 2543, 1278, 1446, 2546, 1290, 1458, 2548, 1303, 2620, 1536, + 1637, 1639, 1802, 1638, 1842}], + Line3DBox[{1241, 1534, 2660, 1535, 1242, 1412, 2531, 1255, 1424, 2539, + 1267, 1436, 2544, 1279, 1447, 2547, 1291, 1459, 2549, 1304, 1538, + 2661, 1547, 1613, 1722, 1777, 1776, 1857}], + Line3DBox[{1375, 1523, 1542, 2649, 1364, 1514, 2640, 1354, 1505, 2633, + 1344, 1495, 2628, 1334, 1485, 2624, 1323, 1474, 2622, 1311, 1465, + 2621, 1305, 2550, 1460, 2610, 1292, 1448, 2602, 1280, 1437, 2595, + 1268, 1425, 2589, 1256, 1413, 2585, 1243, 1400, 2665, 1599, 1622, + 1692, 601, 1810, 1844}], + Line3DBox[{1376, 1524, 2650, 1365, 1515, 2641, 1355, 1506, 2634, 1345, + 1496, 2629, 1335, 1486, 2625, 1324, 1475, 2623, 1312, 2556, 1466, + 1306, 2551, 1461, 2611, 1293, 1449, 2603, 1281, 1438, 2596, 1269, + 1426, 2590, 1257, 1414, 2666, 1600, 335, 406, 773}], + Line3DBox[{1377, 1525, 2651, 1366, 1516, 2642, 1356, 1507, 2635, 1346, + 1497, 2630, 1336, 1487, 2626, 1325, 2564, 1476, 1313, 2557, 1467, + 1307, 2552, 1462, 2612, 1294, 1450, 2604, 1282, 1439, 2597, 1270, + 1427, 1602, 1555, 1624, 1693, 1778, 1779, 1726, 1838}], + Line3DBox[{1378, 1526, 2652, 1367, 1517, 2643, 1357, 1508, 2636, 1347, + 1498, 2631, 1337, 2572, 1488, 1326, 2565, 1477, 1314, 2558, 1468, + 1308, 2553, 1463, 2613, 1295, 1451, 2605, 1283, 1560, 1559, 2667, + 1562, 1710, 1728, 1848}], + Line3DBox[{1379, 1527, 2653, 1368, 1518, 2644, 1358, 1509, 2637, 1348, + 2578, 1499, 1338, 2573, 1489, 1327, 2566, 1478, 1315, 2559, 1469, + 1309, 2554, 1464, 2614, 1296, 1564, 1563, 2669, 1566, 1711, 1732, + 1815, 1756, 1852}], + Line3DBox[{1380, 1688, 1687, 2654, 1369, 1805, 1804, 2645, 1359, 2581, + 1510, 1349, 2579, 1500, 1339, 2574, 1490, 1328, 2567, 1479, 1316, + 2560, 1470, 1310, 2555, 1569, 1568, 2671, 1571, 1712, 1713, 1604, + 1759, 1827}], + Line3DBox[{1381, 1528, 1544, 2655, 1370, 1519, 2662, 1541, 1360, 1511, + 2686, 1619, 1350, 1501, 2705, 1809, 1340, 1491, 2627, 1329, 1480, + 2674, 1606, 1630, 1696, 1629, 1783, 1811, 1845}], + Line3DBox[{1382, 1529, 2656, 1371, 1520, 2646, 1361, 1512, 2638, 1351, + 1502, 2632, 1341, 1492, 2675, 1607, 1580, 1632, 1697, 1784, 1829}], + Line3DBox[{1383, 1530, 2657, 1372, 1521, 2647, 1362, 1513, 2639, 1352, + 1503, 1609, 2687, 1583, 1634, 1698, 1785, 1786, 1741, 1841}], + Line3DBox[{1384, 1531, 2658, 1373, 1522, 2648, 1363, 1588, 1587, 2677, + 1590, 1716, 1743, 1851}], + Line3DBox[{1385, 1532, 2659, 1374, 1592, 1591, 2679, 1594, 1717, 1747, + 1817, 1769, 1854}], + Line3DBox[{1386, 1596, 1595, 2680, 1598, 1718, 1719, 1611, 1772, + 1828}], Line3DBox[{1533, 1620, 1621, 1551, 599, 1723, 1837}], + Line3DBox[{1545, 1543, 1689, 1691, 1690, 2664, 1549, 1540, 1806, 1808, + 2704, 1807, 1618, 1617, 2685, 1616, 1794, 1709, 2702, 1708, 1793, + 1707, 2701, 1706, 1792, 1705, 2700, 1704, 1791, 1574, 2672, 1573, + 1576, 2703, 1714, 1715, 1605, 1761, 1762, 1694, 1862}], + Line3DBox[{1546, 1720, 1721, 1612, 1774, 1775, 1699, 1835}], + Line3DBox[{1645, 1550, 1387, 2681, 1216, 334, 482, 826}], + Line3DBox[{1824, 1577, 1471, 2683, 1317, 1631, 1763, 1798, 1799, 1738, + 1849}], Line3DBox[{1825, 1668, 1472, 2695, 1318, 1579, 1481, 2684, + 1330, 1633, 1764, 1800, 1816, 1740, 1850}], + Line3DBox[{1826, 1473, 2561, 1319, 1669, 1670, 2568, 1671, 1672, 1581, + 1584, 1582, 2575, 1739, 1608, 1766, 1767, 1765, 1833}], + Line3DBox[{1836, 1614, 1615, 1548, 2663, 1539, 1322, 1484, 2571, 1333, + 1494, 2577, 1343, 1504, 2580, 1353, 1682, 2698, 1683, 1684, 1685, + 2699, 1686, 1597, 1749, 1750, 1748, 1773, 1856}], + Line3DBox[{1839, 1627, 1628, 1578, 1782, 1820, 1737, 1840}], + Line3DBox[{1846, 1643, 1644, 1642, 1537, 2563, 1321, 1483, 2570, 1332, + 1493, 2576, 1342, 1677, 2697, 1678, 1679, 1680, 1681, 2678, 1593, + 1745, 1746, 1744, 1771, 1855}], + Line3DBox[{1858, 1821, 1736, 1781, 1780, 1575, 1626, 2673, 1625, 1297, + 1452, 2670, 1567, 1284, 1440, 2691, 1661, 1272, 1429, 2591, 1260, + 1417, 2586, 1248, 1405, 2583, 1228, 1393, 2582, 1226}], + Line3DBox[{1859, 1640, 1641, 2562, 1320, 1482, 2569, 1331, 1673, 2696, + 1674, 1675, 1676, 1585, 2676, 1589, 1586, 1742, 1610, 1770, 1819, + 1768, 1834}]}, {}, {}}}, + VertexNormals->CompressedData[" +1:eJw8WndczW/YLjISiZJQRlGRUCqEHiOzjAoZbSrtoVCkSaFJCS0NSkN7q7tJ +hWihXWePOpG9fr3nfTv3+5fPdV3f8zzfnvPc931d52OFlYuh9RQhIaGoWUJC +U/n/0noXBaxZ2AAXPkb93WPNgu/bVxSsWUgjbxdGtM9ybQALBd6f49IsOFrw +fKqYK42st7KJaG9pgLF9ZGBLPRPKpZtq2ltopLg4UtZbqRFoFuITRQ5M2HC5 +9bC3Ep04TPx1/H69EbyGly8LmcuEmJALyd+v04nvvq+hmxmN8FznXJDbMwYc +EP9Rs5lBJwl5qyRU97+AnyvZq1X3M6BtRc8+/r9kj35CYmXWC0iU4k7x7KOD +6RrPzsosBnF/7U9eSLyEm//MjYQd6PAq9cDFFxJM8tP22wflSy+hvWmxws0v +NPCxy5u7+hKTOB9T8ikbeAmhY5Fv6jxpsFTvY3HZAJO0mU3p2LWvCY4ZbSg6 +95kKcxOzZu/exyKB0zIdwvKawDThvaSiDRV4xw89CctjkU+ev9SPL26GQafj +E9BBgRUlHg7HF7MJniOeK56nWO+1s6BeBy0mAamh/kyo1vrUrrGVTnZP4+Wm +BtVB1Z6g/NermKAxNLQaHtLJOGc8e9HHOmCZfV2yrJEBfnX7lJb+pZOYPHPl +ear1wAj1atQxZ4BrxHsK/1/SKicc5xlYDwvP+FnTvtDh1s8rdqINDGK09tFj +1d56aAt7MvQigA6ngi+tsFjDJHnXuwMXazRARtN4WZwYHbYbLV697A6TVMjP +v74wvAF6k2c/WhhOg8EVN7OW/GGSHR//Of5iNUDrJyuFMVEabGtavlXBmkV8 +37SNhek2QnQKO/jDNSoMzaXI/3nLImv1Ls2Ne9QId8U2NAaPUCDqakmT+VY2 +SRbLqBz42wi8uu9F5YYUmLszcL5IOpvIZobtED/1AvqDMuxV8ofh27GTrMj5 +HIL3D+8j3kM8RzxXPM+6ZTKa/2bWwLfpH9f9dWfA35tTDvH/JYml0luqDWrA +XiRP5usMBlxICjf68JFB6r9G66XF1cDsKOsr8rF0iBFPTNbfwSQWr5S+xjBq +4Oit47e2LqfDxbSH4ZufMsmHwb/PPNRrof32pevjKTSgS/6wdJVkEVPbCBdZ +31roiai0/b2UBh9fNqbWXmORy43bVpx9XQvmV3/C9Ggq7Kg+bv+ZwyInn+5V +lVlcBwnq8gWvhakQnHs+t9KYTf5LY4uKnK+DvoaDq0TOU2C397KC9gY2CbPc +2sUsrgOV9gpFuxfDsNrhnN2AGoccHb04y2dqPSjeW3OhSnYYCuaeWHI1kUNK +v2Ue9jxaDzXrtLRb7IfA1sh5gc4sLsG6xTrG+sX7h/cR7yGeI54rnmfe8emz +TZdXgo2MTst+NTrADLtkg+f8eyUTfnX0YSU8+PlIR72IBg0r7OZGKrHIb/rO +m2+kn4NqckLH2Q00SHkzJvH1Lovo9OuHld99Do0reZkRj6kQqXIxZpcwm/SM +znA4O68KHq1NMreTpMKipvu7N7mwSYCMe6tbRBXId9C0070ooCvt8S6wn01c +U24u8p1TDStLB6KmfhyG/iqlC2/1OOSQwT39RberoT7/qonOumFo3RbgWFLO +IUprvHJrZwB8Dx2fWHp1CExLjcqaFbnE7k+h7kgAgOWi7isjAYOQajP0J/wO +l6jDNy+hvwBx+9dn7fjbD92fnLP8/nIJ9jvsf9j3sG6xjrF+8f7hfcR7iOeI +54rnGfXX7fFbn2Lwvcx4Y1RIhbHvh3pfzmeTU+93qHX3FYMP685anRVUeLLx +07EMfzZxYe0u1dxWAo+bG7QDgimw7/mqBPYnNlkzYR13P64E5mb/Gv9IHwZp +jTVG6hYc0tgVmJv1uwQqG1fRhbYNg4hlB1fuLYc8M97MET9VCls8vs6ouTkE +CSvWmGzbziXZrh0GJ0tKYXv9qMmrhEH4XjQoND+TS1ZU/1CSml8GG7UTbB5I +D8CXytaahQtGSHGK3KxGhzI4sL3Ap9KnD1Sy24IqfUbIvFUD6vS6MnBqNCIK +HT3g9qp5liV1hOCcwLmB8wL7HfY/7HtYt1jHWL94//A+4j3Ec8RzxfM0SkrW +itJ8BhLpLnqtY8Mw9bDpzkFnDjFooresLX4GfobWx9l7hqF3qtOV4AEOoVmx +/Kgbc+G5Zvx/kXeHoEF96IztIS4ppxn8UczPhStNlspK+YNwWZ9xZEoll9T7 +WyeqSudB2hnztzGrB8DDPF7+neIIuRx/cYmjYR7c++Zltj2yDz6JJFpvjxwh +pyeGk76G5kGJf27RHHoPfBJefDj7+wjxeMppsm3MgwMXpb4sUe6GoeyjnzxP +jRLJD8z5Vn/yYMn9u8vTT32A7f5vx7mlowTnK85bnLM4J3Bu4LzAfof9D/se +1i3WMdYv3j+8j3gP8RzxXPE8NzXeuNz1PAl4H79UdT0fhNlHOhdsbeSSG980 +1h2UfQTp85aZimkOwLWOc0sD1EaIbqeKf+vJR3Bvl/8lu7g++C6bcc0uboT0 +jX/Jir/7CMJ4Bn0DYz3wUS//quGUUbItPnDa8dePQNa8vs1XvRvcs3wWx1iP +kpqS6t13pySD8aHUxFtnP0DaTsNO/4ZR8v7S6qIxzWTomvKc5RDYBaorZVvP +LuWRKPHodmGbZKgK0Tped6cDVk/VCQp05xH0JehT0J/gfMV5i3MW5wTODZwX +2O+w/2Hfw7rFOsb6xfuH9xHvIZ4jniueJ/ok9E3ol3De4/zHuY9zC+cYzi/s +v9iPsQ9jH8G+gv0E6wHrA+sCv1f8nvH7XVAsW/EaEuF4/lEXqt4w5J0Yietg +ckiqxtzvz0giFI5MG3n7bRh2zGhUK7/EIX5aaeEbIAFmmrGtrsXy+9vv9/cO +zuCQKdum+zbqJICfMI+mpkaFtY/0d43eY5PMmRt9uqrj4aDyWfGN9VRYP/+5 +zh9FNlme4fC1gsRDvUGvdeshGrz6HvOsvpRF0Eeir0Q/iX4I/RH6IpzrOOdx +vuN8wnmFcwr7LPZd7LfYL7B/YN/Ae491gPcfzwvPD88t5JX8zGTNHFBW3tul +pkKFY9dsVUfD2UTou0aXYkk2vDxv26tdRQWXx2nEahmbbDm0bb3Ppmxgey8T +ouyjgYbBtJT/9bcFootkx8uzYFzF97nnKxq8ND60pGgXi9DU7KnN27MgcCNt +eM9+Oig9vMmSeM+/5wKfjb4b/Tb6RfSP6BvR96APQv+D8xvnOc5xnEM4l3Ae +YT/F/op9FfsC9gnsD3if8H7hvcLzwvPDc9O5dyqzorYILvfGNlbU0uDuS80/ +pzaxyM9q11JZ6yLIP6ial6FDh7FnDDP9V0zCdab/yREtArnfl3YpFdNhnal6 +4CMLfv/8ac6+k1sI289bWVxfxYDb1IIRvx8MgjkEcwnmEfTT6K/RV6MvRJ+I +/hD9Dfod9Dk4p3Fu47zGeYPzB+cO9k3so9g/sd6w/rDu8D7h/cJ7heeF54fn +5hf50X3mhgo4tGGbRrAMv4/qe0TM4PD7p4iXU0JFORQ+Xs88EMiAvLGCf/x/ +SV7xdiWtfeVQfS5O6SaLAcs7W28fWcogmNMwt2Few7yB+QNzB/pm9NHon9H/ +oR9EH4g+Bn0N+hmcxzifcS7jXME5g/MF+xH2J+xLWG9Yf1h3eJ/wfuG9wvPC +88Nzs7/j3X7hezX8VHj65/1mJmx3C/MOyqaTRVGnj2Q5VsN+qeb5m6OZ4PPd +s3SePp1gjsVci3kW8xjmM8xlmCswZ2C+QH+Mfhl9Mvo89H3o99CvoH9B34Jz +F+cwzl/s19i/sW9jP8L+hH0J6w3rD+sO7xPeL7xXeF54fnhuPtNtvnbfrQVr +s/R2PRUWNJXd6OrwpxHM+Zj7Me9jXsX8irkVcxfmMMxfmB8wT2COQB+Mvhj9 +MPo59Hfo69CXoE9Bf4LzDOcbzjXs19i/sW9jP8L+hH0J6w3rD+sO7xPeL7xX +eF54fnhul3/nZ7tz60F6nlomuc2Cb7mX+9y5VIIYdeQz4qz1X0S+hPMXzD3i +o/k+6DCtqcuCTbRVMpmWdS+B3Ubu1e6lwL9emaO7+HXU5NsndORoFJQE0b+b +RnTChF2r+S19HklgUUHPPwzYTvGRnQwKcMPKLOXb2ER64/661GtRoJ9bYx1+ +rx0cH9fLJSXwyMvbR9S/CoXBmfRVMmlXqSDpatP4v/s+Ngltm1IbCsfLTn/P +b6BCcmFgJEWZTXA/3B/3xf1wf9wX/x78+/DvEjokod8nR4WZmVwNG3oTGPrM +drWhswi+H74vvie+H74vvqfW1RcbzaLboNHLS9QsOgpebjmZm1bPI/je+Hfg ++xvqsxjc3Dq45CH9hu7CAsfc0SDOMhpBjDry+H74vvieuB/uj/vi94TfG35f +jQ/vThlKYMHq/ovCjV31IBstqtbYRSXWlyi9/lvq4fqWaR9jI1lgHTp/V/MY +leBz+Dl8/r/aNO6HE01w8K7YQFARBURVo18nbOefA/VNzKkkf/hAvfHFbH4b +BK2ZoPW95xFGrVFh2AofkJTb93j/SSp8Wt/ZZOLDJiPyUy0DhH0gJeyzkogP +FcKPjw4aWrIJrov74Pq4Lu6D6///ewv+Dnx/3A/3x33jl6vd6J1ogubutH8z +f1EgpCWytneCRdS9XG7ceeoPprdCQn6Fv4OUTpVbNSweITf3FR4Kp8AvyxEl +X9cmcKHo6G4+ySaIUUfeLf3olE+2UXBr0TNlXnQHKIsGytM8eeRC6VUR+gV/ +eDG6ILVOugPG5lkz3t3iEZngeFuJnWGw5+u5lgJ1Kjyl7fTg3WeTryuyh2em ++EDCVNU1t2ooYEqhRTeNsgm+N/4d+P64H+6P++K6uA+u/yjzylarOVQ4Eahd +W23J/x5coSS4mE1ajxxPd5Vuh93qMv7LbvmD1tz4HaX5PILngueE5xNUfY0+ +Q7Ue7hxY8/XATybsCD+49ckTGkGMOvLWAbd4Q1Pq4VKk2h61FSzg+R5S3+nF +v/8CjDryB/Nf6iko1UKmRN8POSEmvGRJNZR10gli1JH/z9Np84BQLWhT3Ooq +1jNhBX1X3dQ0OkGMOvJeuk7bFJ9VQfBbhVULuvnzP3axWvYCJkGMOvL+D3UL +7zpUwTJZr55nEgxgLvfopg0zCGLUkd89JmKiZ1MGxHHWfCdvGuzMFnmgZ8Mi +iFFHvuR9iL7whjIIUfo+5lxJg9AeoZvCG1gEMerIa8aoOspYF0BSmXR1ew8F +zF56zHxewyaIUUfeIiRBiGwvgBNvxD2LFanQMXV81ngImyBGHfnRJcIbdbel +g9VtmzX7Pg9Bfi9z+eMlXIIYdeRHCrKKb8xOh2qviyusD/D9/sBQ2TiVQxCj +jnyo+F7Dw9siYccK51mHnfohRf7c2pt2IwQx6sivezQY1C4XCeWuB1s5mwag +K6QyaIPGCEGMOvJtps3PpvpHwKy9rC/XdYbAYYH/MWoklyBGHfms05+N6yEC +ilaVX6iHQTD7XTHz1UsuQYw68lt987/5XX0CXbkX25T3UMBI6DaVu5VDEKOO +vH3PnPb72U9gfXB90OEvwzBbl/VjhgeHIEYdeT3dV4lbX+SDZwyoTZ2gwjXl +lEIjCosgRh350AsZ4c2j+bBM/a1OQxkV3hh8n1q0iE0Qo468bp9N27/wUmg7 ++T0nwIMOez4GCf0XziSIUUc+SaJx+7GGUuCOPhp22cyvj/JDTsca+PlLgFFH +/pdskJxk+nOIvxSyi++pQVNk2sK5BxgEMerI/+yIt5/Geg5yG4Mj7lxhwJLN +7Rn8fwli1JHfLfzm0J7IGrC9tFlOv5QJJxPm3yyWohPEqCO/SmJ/m1NxDTBZ +Lm4HbjNhT/I1cyFdOkGMOvIegceptrPqoEQ6wzUjhwkV5+olVs6mE8SoI//h +QXSsfAuAfnLfJ4cn/LyZx55WsINBEKOOfEnQg19p1AqYPxF4z9aJDi2LFsdt +CGYSxKgjX+/81sP3cDG4Gb2Ljv1Fhd76N6zoXhZBjDryZU3SGve+5YB+2o/M +9J0U6BrOLKZqcQhi1JHvPvd9ptK1JFjpPbp79vYh+KuYdMEqnEsQo468WMLl +zoiJRHjwp2C07ssQ0Np+GCUu4xLEqCM/65vkzUjPHJh7+AAcHaTA99Od1QMv +2AQx6sjP73k21flTEZgWrtlZ60eD2pfnhN47sQhi1JEfPHpZ2tOBf55mdNl/ +Q3TY0L21cPpS/nkKMOrIb1MqjzyzDcBJe6nLUVEmZOat87vQTyeIUUdeWq1/ +59eKWvjYnaDuN4UF33szvNxzaQQx6sijv0G/gz4H5yvOW5yzOI9xPuNcRt+A +PgL9A/oD9AvoE+7e9s8Ruvwe6gvkDb2XRsGUuQWqJ76Nkv3rdYpqr3fBnzk5 +4q2bomCd/7vSjBU8ItLrVbhRshPm2nO+l5j4A9vr6uEdVjwSovni3toDFOhQ +FNUaFQ6HlPybT3N3cojYiISi0AMKSG6jvHhQGwZbzszNsBHlkDGZ6UdK3Shw +NYG9xZziAyOz+hWkFDlE+YpweD/fp+7dW3i2P9ofQnR0wgIb+P7qQdZ9Ka96 +WFl8ofOUMQs2OBVUlqjRyKbtTVaZLCYcfXU6rTCkDlYc7J0/r45GxOd1Lf8Y +XAtf7ZgRc1yZUJBimHDRmE5KJ+rHIkYY8PvvzRgjzxq49/Le74bPdDISUFcw +lFQNJ2+5x6815ddj3M3Kmkh+fl/7qaK1hg7HPRac4a19DrX3yzvmajDJ7w3r +Cp0iyuHswJ6Nx6Tp4PzfNLuNvUxy8VzKnygTGnzefH6fbGMJLJI3k/O/ziJ/ +S+2NPr8qhEwDdYPTd6gwZc2rhbLqbBILP49eL6HA9O//+W9PyYMTg03KvEE2 +EbGN9U4OywRnrZ7Nf18Ow7nMgtzkMP5cCAkIf9k4BKt3y9nruadCSeoi0YQt +XNJ3be/lA4xYePvigO8Os0G4Fn3TR4jCJREvxs9On9HPP2c9zTd6fpB21044 +I2iE+M25KNIp7gdjy84t3RM/ADStRNaXRSNE+bexl63jENySWbdvc0gs5P6k +Tt3lwSUO8+5Qn8qnQtrq6T9mXByGa3H5eitaOKTZ4ePUAgcKnNSLfHtLLhMs +LF9NvS3HIWd1897Znc4Dhd3nT+gdpsKy1DSlja5sIpvktX9wKQ02HC1eKuFZ +COdSm0Vv1rOIgs8D6SUWJWB86EJ4xAAN7vyif62QYRHVXzPYweF0qPhisvCM +XDl4H7VOrXRlkjs+b/04zyrBQv9v0Nf1/O/r+N7u/a8ZZIOQzMjvegZEMO9F +z1tYDSXqJTvGVRjkonfJTJm1NWBlOvqvSI8JYluqtZZH0kl5kEi8ahMTXN9L +GR3XroVKzWubFv+iEawHrA+sC6wHrA+sC6wHrA+sC6wHrA+sC6wHrA+sC6wH +rA+si7zsAivT3Q0w6L7r3REdFpwtU7hruptGSrLO3hBLq4fx18Zdn9ezgGb7 +c8YeMz5fUsvLDKiHK/P8rmxN5f+9LncyBqfQyZcYVa9rZ+pAKSB65d5jTHho +EmVXbU8n3ZamYutza2GpcKXq1l1MCOvO7jsdTCeGb15lVHvUQjv35knxBAbc +mJPnc20Tg8CZ8uxNqjXw32j447U6DGhSiwoveswgH+hJQcr0avhif0W0UIkB +ZZ9vbHpTzyDeqvOWvtSohksJ5lesrOkwIvxHy+oak5TVLbhxybQS7smuiYv4 +QoOKNQWvmz4zidMpsx6h5nIwfyRX9vYDDXyK/b6OSbBIj9iWKakdZXCj/vBp +zS9U2Gk4tDG1g0XmRt7L2pNTDP6HRVW2OFAhxOBop+JBfn7M7g2K/lEIfw1/ +eBoeoMKmn0t/P7Zjk/VPGpnDRQXA+za+evV2CjR8DSlx2cAhrPt6Ghc8n8GI +heVzRtwwtNTPXtj4hEO8c5TEbzZmwgNjhrfohWG4d+Cy2c1GDhmQF54vFpcO ++ibqJbHaQ7Dvdfa7Tbe45HLF5w9Cf5Jg7XXbBav/DIDINaZo8h8ucdLMca6Q +ug+zivZ/Mn44AFPyF2uslxkhD7yD7kpdjoQA6/b1qS290O/dHbiyfYSs3P5q +Q96gLwSnijqoWwxCa85b0Uoql0wvCRk6MCUCkg5mM3d8GwK1rGAfYXkuIWai +Lm2+iaDzH/sMPXkYNvuQ8g+5HOJTENb/5HcKPL3CjfzbMgxd7rfnyt3hEA3l +sUV7ZZ/AnsVZ59soFFjQv90j/RWbiHvLkrffssFjpNlGyZMK22xY8QuM2SRN +dqrrQ608yNOSFz0aS4WpZzekXNvMJjJyinMeXMqHM/mudctv0IBeUcDY5sH3 +mdPTju2/WwSr9O8+EBGmQ+umhSOrhfm5puSf6LR1JeB2vn9AVI4ObeyJ2BYK +k5gWOU84rioFg4ZPi/5j0qEsvFzVaRWTHKYOnpb6xr8Pf1Y8TjjMr/dHv+a4 +lzDIf1M3fMhwrYTFRzoqTKwZoJoSWjL1AYMonOMuGlF8Dn+6M9Wz5zFB/vav +C1Z0OmkwblDbnF8NYWt3nlxhywSfnxNjc67SyUfh9VuEZ9YA7IlMc/Figu2M +6B5hCzr58yeGxLi9h92nPihbPnkKH3Ze/fRiZJTc/jPvlmxYJ9g/piWfP5zM +r/cHzpsO8EisbUFy+bxO+KaeUqck+hDef0mXE7HgkXG5+miff0y4O6aluMWj +DmaNLLuyIotGGKfUBvbX8+vzR4jJ2e+1IFOy70LzVxpp8B3sbhNhQrFYsSPV +qgYSO+45r++mE+taUpsCDJBcZy984Qnw+0OkbKkSg0xodL9b1U8H27d+vTpz +nsPhoaqGH4v4fluIpTR0iw4xzqtGXBoroHTn65V1jkxy+v2D6GIfGhz3WmlY +n1UCy1ZcFte0Z5FkISOGmCwNCr/p05haxbCX/QvEa1hE7d3Z/Wr9FHAd2q2m +G5kH0o9dvX/Ws8mcG3vC2+wowHl8a3N0Vw4UlzlQhhdzyHXqk7y08SFQCFg8 +7m6WCvqLOyw65bgEWH+8bjkMwZ91p5UfmyVBZXlt4jt3LnEhbT1TnfvBXGib +esE2P/B/oV252X6EbI59J3r+dCSEu765pZXYBxv/+xqllThCxsuGb7H4PtNN +Vu5ef1IshMpma36M4JJk9yly9Bf8/KYvQj2xLAkUVNb7O27lkiPTw2eF7KZA +9Z2V22K2ZEJSVaxrzBYOCfBfJPK4jAKdXafvRsTkwEnTZax+Cpso1oRZOf6l +gpuYU2j5rUII0HbsXTzIIi8XrbieZM7P1wekdw/MKIafD8sOrrvJIic2Prgz +340OYRO/zlRuKQfNdPukTbeZpEUhoORpAx0WyeVtNb5ZAXOipaLXbmaSP7Pl +FzRnMqBwySYWfxaB9oIFoX90GeRUQGOjZGw77D3mEbjC1x92iGc2eCfySMXH +azTJzwx4EjBnWoQ5wOJ9YtcXfqeTb3s8ku8W8P3PZjudyEO1cP2K7olACTq5 +PmzcUDjKhO33RqyfttZCyTmL664vaKTPfjy0yM4PtIOsHJ5p9oHUJkvJv2Uj +pPa62PC3/Ei4769+QEK6B7zui9k6bxolu5o3DoezI2Grrv37qiMfoZx5IKLi +/igpZBauKXnmBl9Gq57OPfQOJC0l5lV/5hHsX9jPsI/hurgPro/r4j64fsVK +eQ9h43bgLnCybQpyA8eC2f9MM3gE98P9cV/0hegT0R+i/0M/iD4QfR76PvR7 +6OfQ36GvQ9+GPg79G/oz9Gvo09CHoS9DP4Z+C/0X+i70Veiz0F+hf0I/hT4K +fRL6JvRL6IfQH6EvQt+DPgj9T3c4/b7LpjowKE5oNNNmQZ7xwVuzbWkEMerI +F14MaGs8Ww9r2x6fyLFngYvXvtGEJTSCGHXkLVozh30a6kBhSmHKAxMWdG5X +vjtPi0YQo478lQ0nHzmc94dlKZe0vWI64PC8eZeeX+QRzAOYDzAX4HP4OXw+ +b0xbxHuiDq4eL0kevMiCyJVPShvm0whi1JGvjqD/2ZZQD3JMm6OhQSyoji6o +CflJJf+PBfr/8/+ENielucGmqtmXme/ege+mWtaCIR5BjDrySUovc54UusGG +CxYZb2e9g5jMsfRzv3nkfKDOm4UR78COvuBYwVM3eL3IedYvFv/vFdQ/9gPs +A7WcC+WZXm7wWVu9SOVDOwSZzZnDieYR/Dyuh+sMhq2YTe9qA25qeOOTCDeQ +0j++4mwlj6QvFB/oMWoDNxHhbboP3eDxhGre9zf8nDW90Oof/3xF1q+p/Rvt +BiHZ6/dX8s8Z8xXmLcxZOM9wvuFci/VquvBztA6MEyT27dBkgeKMX3+eW9EI +YtSRxzyG+QxzGc4/nIc4B+dNUUkaGK2Bz7vr1OfvY0LasFJ51206QYw68pjf +MM9hjsN5ifMT56bNEgPDqwer4NqzlF9jKgxouSAqotzEIIhRRx7zHuY/zH04 +X3He4px1Ds8b/yFVBpc2WGcf6qVB0bUe+Z9SLIIYdeQxH2JexJyI8xjnM87l +LW7bYk+uLgDGp4PbeXpUaEkK61/gxCaIUUce8yTmS8yVOL9xnuMct2F90o39 ++gTcL771zPDg+0xZz1nTmzgEMerIY/7EPIo5FOc9zn+c+9sMJJ0viEeCavK5 +JaFxA7BXplL2IL9PIkYdecyrmF8xt6I/QL+APuHx3BenvgxEwHyX6qxL5oNQ +aeU6awHfVyNGHXnMt5h3Meein0B/gb7izseJ2sSGJ7D8n+mW+OZhMHx2iy4e +ySGIUUce8zDmY8zF6D/Qj6APCT2z4G+8cAEkDjh7fo2mwgchhwRPTTZBjDry +mJ8xT2OORr+C/gV9y8tVOg+XD5bCjZVzua8X0eGM7d/m5YNMghh15DFvY/7G +3I3+Bv0O+pwTYofuFc2sgosvYjMtLBkQmlvm+V80P6cLMOrIYz7HvI45HX0P ++iD0P9kTvVsUm2pAReWS70cPJkz1jX3TcYZOEKOOPPpv9OPowy02vHlnwM+/ +c2n/EoNuMMGpZ0lJPqETxKgj3zO01I5WXAsjL7bf1X7MhCwbt1cLFtMJYtSR +Rx+Pvh79vP2nwlkePtXwKdZE4uwlBsge7Fbl/0sQo458TVVavaokwLqVogrM +OAZE0qT32h1hEMSoI495APMB5oKVlkJ2je7l4PD6+adfGnRQFovT8KhhEsSo +I1+UvC7JW64CNgXcuXDWgg6RT40CfO8xCWLUkcdcgTkD80XXkUvf1pQUAvgH +L1IpocKatHP+1tJsghh15PdO8OaJXi4CpcHS0jQ2FdittxPXclkEMerIYz7B +vII5JVT406IUt0wQXxmg+OzzMDSxdO1S3DgEMerIh/4+srZKMRsGhW7uP72O +X+9v7c8f3MshiFFHHnMO5h7MO9c1HFVYrbEwx3vk263qQeB8b0gtf8EliFFH +PnBXcxg3Pg4sVH87iCsOwZzFUxu58VyCGHXkH3S8N2o97Qe3g4M/sfm5SXRX +7g82Pzct/nNfXWOpH7w1zelK2TwAOx6oa/dpjBDEqCNf62hvpqHpCsbCBTm6 +yf0QLa8QIms6QhCjjjzmLsxhmL8We0a2PdJKBY/IxfMbDg7zc/qqB1IMDkGM +OvJZp3tGdtkkw6KkDT8uig7DGtXj83skuAQx6shjfsM8hzlOpf7ruVOOebDT +cUhZcjUVar73xy8KZRPEqCMftEFxcLN2LoTF9fS5fKaAuOZHF+9SNkGMOvKY +AzEXYh68mpHM2elVAlJ//VYWVtPglOR9qbaNLIIYdeTH0vvCReqKwWpsHTcz +ggar9SU+OJixCGLUkcc8ifkSc6VMxfihba2V4H3y9I1SKQbkSmRXSzIYBDHq +yNuemjuxRLUSNhR0eS0bpQNo2VYLzWUSxKgjj/kT8yjm0NgdsfZ7dPi5wqdN +76wGEzR+Dr40yeD3VQFGHXmjje7SW8YAPIw3jchIMqF6oMhO6i2dIEYdecyx +mGsxz942Oisaq1cHzaIPOk8osiCH/lM2yYdGEKOOfIDqqEnqnDpI97RcYjSL +BQ3qLR6DyTSCGHXk0Tejj0b/jL4ZfTT6Z/TN6KPRP6NfR/+Ovj0+XWmJJt/f +v2b+57DD1w00U7/k5/N9flTU1MfmJzogbs+HE0ec3WCWz/jyWf48or/+0OEH ++XWwZtjTMmsRC5af1njy4gaNIEYd+XkZZ/UKh5hQ0f3PskOzDswlj29885ZG +7l+xd/uaUQP6BtUthxSZEOxy77BJAZ0gRh35iL3rtj+kMMBxTmjVkyU1MKD0 +U/KwEINYSgZLq+Q8B/Lu7KyfIgwYYO67OvaJQRCjjnzeqT/lHkV0GBlg7nxm +XwnOb/RBZzeTvOjRv9tqWQqmHeMXhXNoYBTcp+xPWAQx6sh7vdPRsz5Eg5bk +8V2t48Vwc9FcDYkYFhla9F3slFk+HGkI/LViARXm6r0KCLzPJohRR/7Dy/yB +hWkUeL6z7oTKtVxQuL9cy2WMTd76tcmnr30MUaYnP+/TGIY8+b9RU79wCGLU +kS92U6uvzB2CxJX6iyZuJsO86esrXfdzSchye6WwzSGg3ib8b9H0AQg/H2D5 +e+cIQYw68horlkkc6OgD1YtzYu2NXEHLnun4J2qEUPff76h8cxccZAtOjvMG +4fzhtW2PyrkEMerI7zx7ukUskO+DQ2Nv1FvHgW/8uq/11lwyw9fks3ZABtyM +SmSqzqDAv+SQtf3nOAQx6sh/T9Z2fnaNAodSvyrmcbKAqlO3Q0ecQx5M22uQ +87IAvpz6ZLi1mQpfjRRyt81iE8SoI39nEU07dB0Njh0ufPryYBHIJrSmSRWx +iMHrmVvbw8pANcOAydxDB5tvDq3zipkEMerIS106lGQQR4elfXmlNEo5iP3b +PzXGkkl0V6veX5ZSBfGn14L3DQYExW8c6nZkEMSoI29i82rG0VYGPHGu3hL4 +phpCDtF/npNjkMg3w9W2YrXg4Rx5WiyaCUwVBUURLX5fEmDUkTeIW6fq+Y4J +pNruYVp4LTRGJ3414NII1i3WMdav8oEUReVgP6iu1nvQY94LNjdCLG6MjJDY +1KUf9sVEQl3dE7WY8R4w0pqzVWfaKHHpGGye1xoJNiabXy/W7IZdBnk6SedH +ifRM60oLkSigphu7TbP5AHsOfnnz9OUowd9J8XdT/L0U18V9cH1cF/fB9XFd +3AfXx98v8PcM/B1jb+uAvWyaH5ieaz0bdr0HOhav+qi2bJTg73f4ex7+joe/ +P+Lvkfg75N+o+BlPxLpAt8rWNEXXHy6n5+yU3cwjnnNilp1ZXQ+lFO8mcpQF +p+foF4gQGoloWfruiVotpDo1KyjYMvl+Tzw23ppOknqKF2yjV4Gw80Wl+YYM +EAvVOpqaxCBrM2Vt9jWWQU3UDm7iTDqI87Y6JHCYZNtvUZ99nwvg+xFxz4f+ +VJhqtbW7aCebONo0++woyYDXtv7WzYXDsFJh825qPIek7jtoV/z1Lvy7TMk9 +s24QPveIu6p94hLjHy/YzrNCYHqWx2fTNwMgzDDmqsweIX43cuxqhB6Dqr2x +09tbw5C/899zhUoOEXm7pDFgcz6MrdDXvmtOBUkZuZEaCzYJ3ssYSFAtBeWs +A/TnIzToc46NtxRlkcAgd51ax+dQ2Jljd3ErA/6yRnJsqxjk5a1NMi8Da+Dn +Dc+VP47x+/2GLw8/+9PJvUfGItfmt8Gc7tcqXkluMK5gPnXBBx7J2Fvssiid +BXK/vlf/aqmHiNcuvF8tVOL95kXI5zAWLFP/1Bpypx7WupjWpoxSycBfK81N +PvVQIDtzbvgjFgi9kfgx+oFKpp7e/XSGbj2sPC0ZoBHMgvgI95aC31SCn8f1 +cB18Dj+Hz+P8w3mIcxD9K/pZ9LEznCc2Tkx0wTYz3lChij+UT5lWcWU2j/Sd +73ThRXRCfoxEZtNRf9Cx5uwzP8QjMuRVbbx9H1gpxl0zs3KFXcWfdilmjxD8 +PK6H6+D9w/uI9xDXxX1w/eWy1P5SKzfIuK954kFnBzA4NXNqHXnkZMOv7wUx +fqC+qJKz60sPMCW2HvrFrzs8d/we8Pzx87geroPnjt8Dnn9iRrlQfEwHtJ5/ +OPfWeTcYfjUtYvwijwyL+C8ukr8Gb3csGBxaToF7HxTszcw4BDHqyP/nqire +ZdAJuwJcxugn+PuWj2fPO8kjB+dH7TG+0QXe3Njtezb7w7/sfllveR4599tj +79zWTrCC7HW9B92g/rhs33+7eERuffz27/s/QtjmI9d2Gz8F1tKaDK/IUSIi +vQhiPd+DqOSW1WmyybC5zOfhsnF+P1G1+m33XxeUPCwaKoQHkPEiiRjO4hHF +dTU/rFOHwdp16QH7gHCYFnW7S66AQ2bfT9U1+DEMp08v/LFpVzissHg2/7MX +hzwd3+n435th2DeNTPlldQ2O/c4qeXiPQ1Ye3hUizmNCm1JAiJhZHQyZvJ2+ +pZpGaH+bGRHjDDgT9TG4dH8N/E0wKbo7Sie/NALqr7+kw9kJc7eKt5Vwg2MQ +G7SeSWZElYUvPUeDp6PzjnPPlsBS31UVj/xY5Nfu+TdmAAVKn0suVNqeBx+t +lFsae9jkNKvspenbIZjiG1BS9SgF7p29b7FHg0vWJN0qm3FhCBwbyg7dOJUE +po41jceduURjSWkAZWk/9FzKMdFknwOe/g33rmsj5MbjjoiYbB/49iObZzhn +EKTa96/j/uaS0icBDelWQ3CxcWxo5toHoHpbPqHUi58Tna+MBXWGwZLt6Uoj +j4Yg5dKWSOkTXDL9d2ndz3OmcPXz0Qv3hCmQ72jOnO7BIe4XvnLvd16BU29+ ++d4+QoEeo/frpXU4ZKFneygxvQIzLBa0MEcocF3/YVDAGzZhH8nNFjtLAZ5y +uIIuKxN0jtsodslzyC65tWEaC2mwzqPj98P3hbA84ZNvaBM/19Onb6mPeQ92 +B7JOuLmFwdbWAqm5n0bJQmX6lbJgOmSaGx7+4V0OoaJ+tnaeTHJzq+OSW8qd +IOtD32+1wBU8RI4YfTfjkbUKN3OZVQzo1szbXelaDZcd/hnobmCQ4zqero5r +2yHJ6Vx6DHEFjfrCaaXPeCSc/du/oo4J39yfvthsXQshi/2fSvyjkZfrNMT/ +TbkA3nMd0qWudsKURZZd40d5ZPacIw8LhsLhCz3fojp/GBrHLRfGZnCI8K0j +KzQze4BztcBt7VJ/2CFy+ucb6VHSnb5zXT37IwS2DKWWGPuD+/Gx5hCvURL4 +e+GvYyLD0KyvsGSBZQSUjv89GCLDJXKx6XENCz/Aus5/3yLD/WFI7NOStx9G +yZTMESFtqXfwyWaemaKmLRzRvlK36RePnH8yFqZgwILY84FHdi6sh0fd0VX/ +O+8qQhRmip1nwgn2go/XltbCoINmQTR/3nmo+nH/8eec02Fa/bPnVRCd+d/F +SP6887nOvB0uSoctljPtrR6WwZwbrXVX+PNuPIY4hQdQ4VOn8vu/9QVw5HrW +Y1/+vHMyrBWvLxqG+/PWHuWcyIDY1zEzY/jzTva9UZDVhkG4//nIk58qd2F7 +VOCr+jEumWjVX7nt1QBELA+Z4X7vJrDVD3Vn8efdu5fJsXBzGHRbasMazB6D +p5Zo7G3+vLtweTDvthkVFkQsP7/GOh9mbpu5W8KSTc6t+f78OZcGQrGVWRzj +UjBQt/0Yz5936gasxT7aDKD+Kb5SH/0cFIfiWu/w512Cg4adCH/Olda80c27 +VwM38zXnSATQiYLWnKf2D+sga5uJ9vsdLGjaf8Gw4RSNlAmwocak3iXgZ14e +cBhZ4wp2N4yWOK3tgEHKr4+ZwTxCJI7OM+T775aFs8SeKreB4miasUgnj2wN +nnwu7Prk56oFz+dGNUv/8GDBVYe3Pcar6iFhfbf1x/k0oj22IHGqUz2wj3db +9/uzYIv+XqnG/6jkotM7GBx0geDc7jkr9ajQPXHlum8wm+RKLaHOPmECURmH +D23ZRoUYwyvxrXfYxF/wnLze5OcGBM83C57LCpn8nL3g+faA7sK8dhMg6z2W +CaVS4M59rZt6UzlklaCe796crG8XQV1H7atJaJtPhTPSE1LvtK5A/qZlu27m +s4lq1QkRydYwWOi1Rl1WdwgmNs78VxzGJdRHl8RP+w3C1Es+WU9t/EBn5qPL +j3u4JMNZKm909xC8XZV7xbw6DIycf/i185/3mhuv7yg9CEm3wu2y/W6DccVS +0Vc/uKQ1s/6T2hi/700E9Pe2Xgbhg3KXgvePkOfhs3kSp6mwVe3V0019l2FY +peua1FU2eRhvNn4s2gRcwuUPxX6iwImGgPUir9ikQnfyvS8J/o56wfsvYTdn +yb2gQMG9ql8h7ldAs303s4nNJusE51ImOKdEwflcEvTByuDJvtgg6Ifchb2J +LpcoUP9KSs3w2RXY1/pNTIrf975+ydfsS3EDi+Cn54eUB6BITGTuvi0j5I7t +rn43NxO4X5rz6Q6/337piQ8T5ffbz7QKS8l5plD751OdvREFQgLuyD/YyiEW +vZPrLpOZ3EdesP7qiMXFwQ98IHTvNNtDzoPgLyp6+PUgl7hXPZAw3hMG27Nn +/Dz3ewg+aiepspdyyWmLjiPvhVj8v1+KynGtg8t/ijOd0mkkeSh2g1ohE9ye +18jrDtbCNOPL/2nOpJPaQ7oOpTOZIB5TbMc2r4G1RZ8cNnXRyc2Tcr/vZTOg +M7CiYcQFgOa4V8l+G4OoPf20qnCYDp3W01qXz3wO5rv/G6pZwCRJO0dmG3jQ +IeCvwTy36xVQ5Pf+dEQAk7yaQomZGUiDVw+fGGSml4C+1THjV9YswpbSDTUT +poFD6VivwUgRTGyIoD96zyJn/tiJ2lEpoOR3WuxMWB7Ui7Q5uAGbHIj5rO54 +kAL63ruqg1bngBxlJDdbjUOWL2ui9v8aguYZuxdpn0mF4hlBsQaLuOTO/f+e +5Eb0AytGLaNwkx/IHjfJ9Lbk5+jv9hc5odfg4kzZXyq9vUALTF4p+XaETLmS +pDdXawi05oqEtKfGQq9/85BnNJeUJIlO1ecMQWR50sj4kUcQ/ZxnOXsVl9za +XRRXtY0Cm6y1hw/oZIKE0/LlB/n3ZGlv5/6R9xQwW15xz07nGawsfrV10Ws2 +IU0nR2O/U6HxAoVrGl4ICaH296qoLPLBSdvyqBcNZh9W+v3f0WKInJ0p2ujO +IsYxWm0LHOmwmGGtFaBTDs0OL75kRzDJsXG7MPMeOlS3XlGTaqqAZqXRtgR5 +JjFy/Cl3/QkDNGVFFzXqVIN/ouuyjQcYJHRlVJntVCakdcaZzYoB2M1L9Xo2 +TCezl8/O5j5jgoz0isw3R2uhXjJV2FOKTtaJXlBV+8cEyty79qb0WjhUnxlo +WEgj2UGLM25Nd4dF2nJlWyX6oN9iU8XpuhGiAArBYhL+sDwlRJtW1A1MMeO8 +t4dGyV+JkcsV+/3BXDfidwnnA/iQwKMqz0ZJnpOEnuY6W/hmecdQaOc78Jgy +EGb+hUckB0akLJx6wf7Rz9SpXX7QH6cWe4Q9QqQE696um9yHI1j/nGBdzXmT ++1wVrB//LuX6Pr128Gk8Znvkhw2E7/OtXp3JI62C/ZblTO7vJdh3/MZk3Vay +J+u4XVC/yTXPtx23qAfNvhMJTU4sKHo2UTFbhkYQJwh05Ns9x2vPdteBuDwz +rceeBTqvz8YnKtDIGgFecHFSlxHwJ/yu90kr28LbSwHn3e+/g7V+MpfrmTzy +RYCnWE3qSgI+K7px/mF3J+j/prAy/s9b0NnovmXRXx4ROzDpe+wEPkhd4H98 +jk8k2X6ygZXXvEwOPWqHxnlKJ84k8EitTJDXpsQ2uOL+8yx3ti0E/rk+6lHP +I3o5W4KblrRB2VdLtZzF/H0vRX9938Uj31MTzb7tawNH1e5WV0lbeDWi/S7n +LY+4JuzN01CoA8nD/1Y/GGZCZ0f3w+a3fH8l6DvYhy4J+o9qrLj9fU4dxBlq +xHhtZsEQK/3KYnMauX/Bxr7wYx1Mu7R+v7siCyLv7mVf86QRYQH2Eej3BLz8 +xlsGn2fUwKaMk9JBVAYoXWbJ7xRiEA1B/8J+piLoY//U/H3fcGqg+HOZSvtB +JgzXtVzmBdMJFP1nXdNZA801lWeiNJmg1cudxk6ikwYB/irQtwr4lNtpL3/s +qISfE942VsV0WPtec+aq3UxSeG6yD04T9MUwQT8kETFGK/dUwfvbtRlHNzBA +MvPVNKEGBhkN1Us1n1sF8jn9ZpoLGaCw9wTHpZ9BVgrwZoGuKOA/tqzaWPqi +GCDL8t+JwzQYb0u1p0ezyJu4yX7aLOivBwV9tXNC/8gDiTIofJ1t7DhEg79W +v0MeSLBIXlqLT+vbUtheKrqyvo4GfQM20Zoq/H4rwLoCvUHA5+h82Ke2Ihc+ +lo65iT+mQJrB9k3rxtjkWMBkX7YV9OlCQX+eqNees1yxAFTTnT+xDahQcy0x +4O55Nvk6zW7j0u58eCx1VPfHOiq8V/nT0x3IJl0CfHf6pJ4r4MW/PnllopwM +IUHGiuV5fB8x2NEmuZ9LGqZO9nctQb/PFPT5qhU7VIs/PYGTC57yEq8Mwyqn +PQev1XPI+R+2VfXbnoDE46CXhYbDoPqmrjN1gEOG0yaxq0DXE/DU3I71+4kb +rHFYqlVH6YNfMs/eSYSPkCO61XvPf3eD+MOckc3hfeCgeoa6P3WEzDl7NjRy +uiN4tDRvsFzSD5cSP14v8h0hf0Mn581NwfxZKpg7UvseZo2LRcKN4yfEE7IG +oH4ibowlNUKifLeP/RsKBXnhB5869QdALcVWonXdCNkhwBp+k/pqAT8gI8Wz +UoyH42sHDv7wH4L2Uf2aLTZcsmrZ5NyyEsyxR4L5ZRPm1rGaFgFtmxTvbD4y +CMofaL1pTC7htE93lQ6OgrCU3ZW5WYOg8K49cs8bLikQ4FvvJnUZAS/7pTvF +ZG82OD3xoaf4UCCDfnnfA3EOCbWYnH+Zgnk44Tg5B2e/faf7pOkJOP1WmR9Z +NwxelAztumgOuSu34IyKVzpc/iFld44zDBJBo3Mt+Pk9UIB/LJnUZwn4V7N9 +c3dcLAKx5Ucuh6jSwLRhj82pIhYZcJ2co+cEczVEME/P1s6dPS5SAMx1Klvp +4VRI4Y0zlmmzyRFf4TL9owXwQPlsYn8eFSy0z/9uWcomvgK8SaB7Cvij3TfM +RWdXAM2Hyzv2kA6H3QwrX1oyiZlgHtMF83mvYC6/CRNXSaWWAsdLfU2CFB0c +1x09l0plkuKNNqdG5ctgYm1CiqMaHfKDE7xlmplktuokLlab1HME/NaMp0/t +vlbDP6vamaffMOBj/qDZTTkGsZCbnOtmgjnvKpjvq/vL3mmKV8H9Er+jn00Y +kGCtErj3AYPsuPGbmbmrCjJ8k8WMPBnw3WXL+z++DPJIgKv9J3Up10leoZsx +OCO5FpZJBOdef8uEkX0XVjpwaeTCgkl/sEbgF54KfIJO3uGUQ69qgBU9be5s +Nyb8uUMz+2BOJzfkfru8HqqB626LnuddZ0Ltmr1X5uynkwQBPik7qZcI+McC +P4r+dIrAl3rT5vxY41YL4rqXHy2/xYT0VRzP3q10sliAQwT6QwGvLPCp0QLf +2ifwq9sd62Tol6rh9rNHY/evMMDh6IfCgxcYBPEsge4o4NUF/jVO4GcrBD42 +XFNFfKVzOTDPdG1jbKEDd6x4cMVzJvkowNlak/oXAT+/bNLXLlow6XO7BP5W +Z91W1ccFhcALX5Q6UkmFC3mXK9nz2OSbAB9eO6l7CPjLXpN+d5rA/x4S+N6u +Fm01GadMgF/GZ8/+HIbz/yJdZZw4pFSAf7+Y1N0FfK+/XtjtDwnge7HqFnfv +ENScHL8gcpNLDPcYihVuuQepugpHat0H+feaeflOH5f8stDyWN07CHMjFWiU +l7Hwn4LRj5BqLpnba9rXuNwPRnf3ir9XGgA9xwPXT/P90lbdSXyvYVLXEvAf +TPewLi41h85Dn5c03OgHm7snC+efGyHHBPiprO7/6cECXhUmfXaDwHeHCPz2 +OZsl535tSeX7eW/w2D0MoVVPX9dzOGREgI9YT+q3BPwdgf9GP64g8OFX7hh/ +MHHJg0MKfodeylOBq7wjtDmSTVYLsHz4pD5/9SSfqD/py5MEPr1B4M/nPXqm +7+NTApo5a9wPl/O/3/nFL803s8gSARZNmtTHBPxKgV8/KPDv7wW+fVepkndA +RyWov6gYWyzBANnw6EwHDoOcEuDP5ZM6O2ySp7dP+vj9Al8fI/DzX0/+PXN8 +Zw2YpMhWuW5ggvuJ0anu2XRyVoDjjCd1LwE/T+DveTMn/X6qwOd7ZxLy93Ad +MNV+LPkizwLxr58fOfrTSJAAn8+a1D0FvEXzpI+UXzjpK6sEfnJ4+aRf3Js2 +6R9rBL7xuc+kHw3Sn/SnXQJfOtPbrq39YAcotpRnD3fbQGdeig87gEc0V+7Q +0Sjrg87c8u1SpuaQc6nCsef+CClLcDnctMIVEou/nKhz6IAJ0/v70314ZHmC +ZcC8Ve4QlvjfDklKDygfKdRYM2uUGI3d7BZb6A/VYn8zE1f1QLz8p5QujVHy +c/WYxL297hDJ3vQu0KwHai3bTu1SHiVCFZP54VvbZJ44LcgRqwX5R+7eZB7q +FuSgwj8XVr5f2wV+1Vc8nl31ho8aBm6u6jxy8vTGY4aPWVAS3zJv7pt6UO4l +O+e+oRKDq4wL6qksMFHyqnZuqYfbC7cx+t9SiX5JvolqFAtKtyb7nn5QDxlZ +Yi+02VTy8l8DPPCqh/mH2pMK+J9b7JWeSjqpZIn4AmqlXz20lIYoXUtggUPA +0O+AXioRc7bUE95bDzkWaootoSwoMK1TKf1CJVWCdfUE+zwVrB8leE7PZfJz +dYLnTw5l1kle6ALjuz5F/V3u0JGioLRckUf+tOrInr7aB5rCcn4vjjrD0gnq +7Lr0EeK15KOHwS0LKPbgBe5K64KYKiPn83I8UjUgz3Od6geS7uYrnOS6IFRj +7+U5mjyyuCnZbF6BBZyq+zmPWtgBKb5GM5a78wiei6HgnG4KzmetjppOVGIH +gNbOXfHtNrDHue5vqCePnC2Z/Pu3ik2ex/GgyXOQbPZycDliCgW5QaGtwhSw +N02oGrrAIS6rHNKqFSlQXFlstIxzBVzO7Go0O80haYLnriZNfs5D8LyyCHfv +sE0ntDXvTx8TcwWpyz/dQo/xc+uN60sGczrhiKbi7X1xFnD44PGwqP08Ek27 +Pnb22jBc3RimYLneFwwrRxdov+KQ1vb+UpnOYdiT3bJZResq6E0PkQ27wyEp +ce2q4bxB4M1qPtPgaAZyMmOS1yq5xL99/nGj/CHQZk0/mvbFFDjfApdKH+IS +NdGbj+fMMIGp+dR02T1UqNjt3CMbyiYdawwtM35RgHwM6pTYYAKer59ePtXA +JoVl01anL6OCLsTa0laZwDX9J/IbM9hk48yCM7SZpqAWlHtjcSoFOBKXIjZP +5ZCbzG6V08kmYJC7W3gsiAIXDmzhVspwCH4e18N1zv9t/6ddQgH6qsvb7v4y +gUD2nXqvb2xypueczb4OCuxfzHKOOmsCMxXCXrkOsQm+H74vvic+h5/D558/ +FU3/akIBoSDhZ5uyTGDX4a8tIxocgu+H74vv+Xt+SOIMaQpsrLlH2XzJFGYR +z/XzbDjkWsj6ngIPc9i37lXeQYMB2KDa7RrI99W4Lu6D62doeSzcfscM4kem +5rxQHYTl7nqMpeNcsi36n8JMG3NoWnn78xf/AagbUgs1XzFC8HvC7w2/L9cT +0//9OmYKNHFa8VXhIRik+KjEFXOJcYPiYGIbE1bMP/V1BrsWns16sUqDTiOv +ZI3/nHzHgFTz6JdJ4QAcxWXpogsZ5Pn1vw/OJ9LBOO5v5Y78CrDJ9+2ROcMk +G+LOv6ao00AlIvjMMiV+XizhtqTlsEjbDsO+C/zzoZ4LvLO8Jgfmr5uSLzvz +f/+/YnvbjYwh8N+5e16sRhIc5v16KnKYS/Z2JWzzSKSA4q2NR6Zk5YBGbJ5+ +Cv973LVxiobqARrs8h7fGLewGPQi78XfimORF5mxpy7n06FWx67fKaECvM1t +DtUcYJJVXrslYzQocDFuyv6lgyagmh9QNtOAQy67nZiaMcSA5+MxZ7ZfAlio +slY5azqD6O33fx4/yITI2A+7R3trYb3xIwNOF41k3g14eELZAighP6jLd/dC +m+oPXvSXEWJ67rvfvIvmEPKWPTOo7ANs1/KVCykbJdXdcnrG783hWU79EcXe +LjjZaS9zTZJHLKdOZAz9tQDW3h1tS169hYx3x8V2TvCIat9gtOF4G6j7SLa5 +d1mAZU6dwpFSHjG+1fx/90Mov5Vezr8v7598+L978stP3GzzjHqQpg9r7T7G +gosn5a00t9EIYtSRn9V/8tOJ9jo415u5J/gIC7x9t5r/0aURxKgjj+eF54fn +1nXmS2PTxnrYJ5Zk6HyFBZk8aUmZWTSSfuq97Xw/FqicWtNmZFcP9XvGijYI +08gG5+hMM54FKKl87Ch+9g62eVK3N9F4BDHqyN+2paxxO/gO3m9Pdnr8ywKc +q4Rpq8Z5JP61Hc+x0QK8RR4/+lzcDj9P20fOf8gj+Bx+Dp8/MDOlZ21RG3Rv +3CB1tscCHIOOThjU8Ehj8SB9j0Eb9L3YkD+NYQHnrPulz7byyLTyDY/o8+vA +rqY4gktjQtGwq2Hfaxo5wf0WFLqLBQrK0hnThupgZ99oQKkRjWS8XNKzgQew +avnE7wNMBqh4aVYs/Ecn3MJg1q0T/Pyg4xO0YbgGwmu0DQqu0Mn5a+s/bF9a +CRKZrWV55XS4Pz46vY4widOewb1COgxo2bvB1kqjCixy+5x+lDCItEdGz/TU +YpCS9n+pa0SD3zsdbY5GsYgJ68xFp080cDnwO4g2pQwMrwvX0qawiJLsS+95 +H5/BsRWX9hdmUiDE7OZvTy7fT/6bC3HnqPA4QzdlmmwB1J9xvOF8mk0etswp +z+1/BAdSV2xaUzoEXjaPfY/qcsmC821zzkQNQ0C0TGsw7QksSVHwOFDMIfSS +i+55/QPwzDC/bLFIJJx4fGLn+hkjJDtnxRVJiAfv6YdjQq8MQcLjgnaeHfd/ +KPvveCzf+I8fThsZJaOykhZaNEQ6GkJSoZJKqCSlREtGIjIrMrJnRmTv/baJ +pi3rcu3hUqQl5Xd9ft/z+H4fjx53j/u+/zyO43JehfM43m/X+Xy+kGCiK8NQ +dhhUpdcqNH0JhDXePU6Hv3JQkoXV1h1PM6Gts85s7l0yFOh0he9fwkYW2/Sb +LbNGYDp/+6vCzlTI0/Tb35HERsenW9++jiqEcushm4R1VFB9liw6UsJEsr/F +Nue7UqCzid+ALZwPEq4+QuJ6vHMnhnE5fFM5aA+EPRB8RgOKaL6y7EUG8n+5 +lyMwjwZbDYz6V46X8PYNNUGFcQbyURJUoEoArOxfvzriFR3GZoUopMnT0czE +47GEo3TYons8Nke2CoYFvn+XSKUjA5XanMK8WrizOf/69tcM2GBPaTg8RkW+ +4aN7ki8yoMfVTx06a0DHVUp/wJaG8H6K91e8r0aK3jnJFqqFpjTVslBbBhiI +Zuj4nachPMbreP7nJmpK271auLrQhhQZzwCbpP55R1bREB7jdTyP92u8f+N9 +W+/JQhHHqCqgq2/eO+8kHZr2P8g8GENHeIzX8fxCJxn56shqXp1dsp8cSgeH +U6EXFU7RER7jdTyPzwN8PuBzIXP5ghIlx1JQDK1JWi9MA72l7Et/6AyEx3gd +z4e8VlP6FlkGT8oWqxed5F1ncfOpqARe/0uM8Tqex+cNPn/wuVNstSu6Lz4f +Iirr+zp9KNBlLPq8W4uF8Biv4/lrlY6HK1gFML7I1n/OMO/1wpPfbn5lIjzG +63gen2f4fMPnWk6OXdnvRS9Ad9w3s618BHp/7A3riGAjPMbreD4k07+j/EsG +1L5ttrq/kgw3HhraXjVkIzzG63i+zlv0XtHuYYjzHnMOjgmGZ/bfLPo5HKR0 +Os3shkAk8G1/LFsnQYKgHc4qt1M5CI/xOp5/U2Ccc/G2BYjuHC14ZDMAx0oD +XEoyR5H+/eYIxlML2Fdc4lbxpx9oR5P1c5tG0QPZntBsXp+cJiG8TCd+ECKq +bq3IPTuKohzOzXJv8Qd5+oow16ohWDRxmWwuOorwGK/j+W8WgglxcXfBWYbs +m14xCLs0LtWuMBlFY4a7z9zkXT9Eql/uv77cVfxE/n/9OH4d/jr8evw6/HX4 +9biewPUFrisyb5x8bp2RAqes7S9WeY4AN+g7ZzewER7jdTy/LLmr/3pqEsx+ +LvYyT3IEJCsCLAUWcBAe43U8j+sVXL/gumWEFLFF2T8P2p+7Hj90igIn9Luj +XlqxEB7jdTzvLy18dpZqLjiWq3w48ptXB46pd+lksRAe43U8j+shXB/huugI +LerTlEsJPNpV8HMNgwq99gY7hYSYCI/xOp5fdPxd6cdDxbC6S2C2XSQVfvI9 +blY/zkR4jNfxPK63cP2F6y71/JcDr0oqIbL07Q7n7XQ4RZFzfVNDR3iM1/E8 +6/i2eIfMChjTaCkS+UqD1c+K54rNYyA8xut4HtdtuI7D9VvO/jRKShpv/w3z +1XMzZIAZk2Mk+pCG8Biv43my86zoy6o1QO+1cHNbxoAv9RL84Y00hMd4Hc/j +uhDXibg+3BC4jvUmow6WHl91rEyLCScf9Xj5mVERHuN1PA931njN0q4DiS1R +s+xFmFA+MrGNHcGr34gxXsfzVQ+ZYv/VMXJNG4f+q2tCyt78+a+eiVILCHvJ +soTLoglSFdz38JH/8txtA2MI1ze43sF1Dq6fcD2F6yj9jCabO8fbIWfDDU+b +D5Zw7UFVxdsXY4jEZ7hl05d2oCbcuLSvxhIWvbKySgkaQ81SKhtTXeqgOKtb +LWUpE4rlv1NKAqkIj/93nZin2ewoOtfPAKvH3znv/9RCRGzsEXIvFd3aJrko +yq4GNkx92D5HngE759XU9lTQEB7jdTzvV3U5YbKfDtTYhav21QBMtulvYvHT +UaKZ3Z3WjZXwWcHOe+1vGjw6NPJsaIqO8Biv4/mIsqiUHZk0UOCIvapllUPb +098qBw7z6oGmo74/eouBbSg++8JzKrxVXxtQfpCJ8Biv4/n5j3c36O6ngqCC +uPeeS0VASwsYMo5nooQdZjp3W3N59Uyu2lV+Chxx/WrXkMRCeIzX8Xx0ywvn +D+Fk6NW8FdZqmA1JSzNnJ/9kIQELb6lrY89hmd7Dip1rRqDuzMuPrGnevkSM +8Tqel+k4Fy6SSIJT00+UNHQSYE1z4i8VYw7KmfDU3856AC4MuWU/qYMw50bf +C75DowiP8Tqex+cBPh/wuSAs7jJfrXQAdh+cY2xkagE39Y5W/vd3MLt2u2nu +hWfQ9zD11cR8EpgkHrytlstBeIzX8fyx1LtfqU9JIN2rdF5uPBbWrUv+Im/G +QYpjwXFaJelg4i3Wp7aUDC8y+Lpfn2YjPMbreF5rk/O0bAAZDhw/QF+6PAsC +FGtIUnPZSMmob/S3SQG8WevvNqeTAsv7r1D+zDARHuN1PC+w1/PZO3UqPLQs ++WHSUwgO1Uf6+tJ5+9uKS6NGS8rA/5CTUekRXv14eknYVAavniTGeB3PL7Nf +n5rznAZvp+9bv7Iqh9bTNxc8PclArdnuJFfpaliuYvsp5jEdRF616ctfoCM8 +xut43mn76leLu+gwmLR1xd0DAGE1fIktYnRUkrP689j+Wjh1al9vQyQDqEnk +Dy0qNITHeB3Pz23rcR/qYsCDaedDYk21UE0L3b+TTEXWixVleyssoY/6+cPQ +sQ7w1bzx281jDOH7HN/3+H43zDZapbOJt180lEZJCvdDYNeMxexZXGQTenuB +nbYlCEsd11OK74Gm+HURIVVcdN1+ecP8O5bQf2+320hNF2z8bqqzR2oMzRff +eP3Z2n74mBfa/C3fAgJGx4YXTY2iVNqTB2pX++Bq2t4maVFL0HbbMvT5LBfh +6+L3wddnzduUcSXgHXzOetcrOuccLC9T4BrN+YTOahe4TLpfB4bvtv17JQaB +vJpaNuM+ivAYr+P5dWfXn95paQlfuTPyw759QNe/urT0JBdVRdrN1V9zFoSC +NSfWl47AAvPVZ6+lsBHuz3G/jvv0a1v4Rv77u8C1bfT/9+8EkQXpn/77+8De +Gw3W9pN1vPP0+k2PQ0zYNHTF/YMuFfmJ76+y/1EDakam9zadY0DrTM6s73Y0 +lJ3A//T05SroMTXOTteng/hVF7+76XRU987nkhwqBQ1eK+Y8Q4WLhQsvvJpk +oMV8cp2qlvnwLTJsjcMdCqg5r2j5dYiF1rh+iIy7lwa35BLtTVJH4GiHjR4n +lY2UQ7LOeJx8Cq9UtRvuCw9DjsChl24/OUjdbmPKIoPHoDPhXBXKHQLls1LP +f88eRU2i0xNmmqlw88gJTbsI3vchldq4KY+N6GIi6VGteTB7+Z1U6hUK8Lk3 +nH5owkI+Vt619YUlcJT07sTcb1TIe9bxSGOGgWSf3NMPZVXCmoaXF3/vo8Nn +2/KB4AI62vZjrP5aVQ0UzyvLmHuG9/scI5QSepeGWky9cw+/fQ9HZudu+f7J +Elp76xa5k8ZQBgTzdcYw4X7xWdvT6fVAXvCR1dlHQY6di9wKfZlwaqRoxt21 +Hkxv2x23+0pB6Ey4ttG1evj+XGXFvDAmqAkc4tvEoCA4yx6P1a2HqDnaajOe +TBD+vlne9g8F4evi98HXx9fF74Ovj6+L3wdfH18Xvw++Pj5f8XmLz1lcZ+O6 +G9fbRmYl248ldwEr4fDLgLeWYDw7QO+izBjSsKFMrZMagOe7ZHfVe1rAU0Zu +4r2aUYRfh78Ovz45Z69mzmPe+/r7Ddxo64T7U3sm3PePobaTt4NLcy3BUut5 +jUx7B+TPo47suDaGbvIr3PHNsYQbz45FjhR0wO/i1AP//T38F3N0pn6WJdQG +mugfMPgIhg9k5W6qcFFIe7GQeXM9XE0uYqtkMIGzXEbLvJmC8Nfj6+HrTJpt +reKmMOFlgWOEZGg9KH4e/NrzjoKshGy6/tuP6qe7Zf7bn0qLadP/7UvPPVNT +Qr3PgpqevDGbjwwXfe81vbnJRvj+xPcrvk/nXP0kuYU8Ahci3va/kz4L9lNG +Wfp+bDST3r970+cO2FuolLQmwxK0qt9vOWIzhszTNZrOp1jC1N7xevOjnWCR +uvOKv+kYwl+Pr4evg1+Hvw6//vxy7YzBrE64kZi/rC7CElYF1bz57+/wz4PK +OkUrSBCzcwF1EckMgp/nXJXT5aD5QXy30s6PwDe7HXVpF87CQZXQLw8H2eiL +yGHFhGsjMGm7XThu8ix0nfGef7mbjbgb4vUQhIOSZ02I6p9haKJV9d8q5KDf +EUu1nA7Gw2lJGScrfxLYtJdb6lty0EajG0WFG0igJxPBPbU3CraumMdsjOCg +thixwxLWwzDvUrmbS3YIfNpqODeexEF/FKZEY2Xr4KJw0vvUcAaAV6ZDySoa +0hDWzht90QALvghpBJIZcOFpMHn0BRXlM22d3l2sg2v7Kh7m6THgZHBCaPMd +GoqZ/cfA6GcDoLGeujTeddYpvnUz+klF9/NDYvyz64DTvJj68isdMraLsRLb +aMj/pu2jpYcagZ7+TuL4QQY8Z7nB0kM0FGfLd2zVjzo4fT/stnw8HYxlcqrd +VvLOR6GlyzbENcLnR+m/r3ynw+XZdoc3xNEQ5dSZ4x/21cNz064TYdp0uOp5 +TiL+Lh2tnFdrHDjRCB+yyj/VJtJhuaaGT+AE7/pEPtNPIq+pnchpEmedv/Lw +ST2cOS3vMkCjQZ7WyObx93R0nMhtaidynE4T+U17Qrj+VvFNMPDA89M8Ng1e +7OertYqnI8M2cyOp9Q3AOh3xLnY5DYTvzOzTfchAl6IvOxZ9b4K+HNbMIx8a +0Nhfs4q+09Ge/RyrNscGiCXzHc7MosLoeofNUiMMdNXoTNYCo2YojmanhMjT +QLmhgrrAiIEMbZS2KjU3wK+p+X9qNakw/ebm3TwtJrIrP2+AXjbD5aeDdexC +Khx0iPRCLxnIbdtbjaWSjfCVlNiV3UCBqfOK67hRTOR8v+rOrvktkP7gicQF +bSpEH32ds2s+ExkJqPVaXWoEZ/6fzvv1KOAV/NIn4QcTDZ8aW9R/rgV0GhSD +37ylQFpdt07/OSYKqDGR+VLSCBb7H4FRExl+Dsj3RfPOhYlKtkp3VQtsJNmt +VDhOgfVRWZe6q5go+9aR+KcLm4DzTlwxazcZOvjkZDMKWWg0x9AvMJQBH1KE +syqc66DEXuPMRgUamr4aSVo7AJDwRo4UFcn7/fGvNj56mI7yd8ioJl6rgcro +xF+kQRow1esoIzN0FF78OtUnuwYc2jNJUU40UPz1dGX1aQZaKOHprfS5BuJE +jyjnidJAvefauqTif+c2Cg8nv0q6XQsHDr7ii9xEhV2RZyvuOTDRkiPO57XL +asFAUsNwupgCj1JsG1XeM5F6QsGNnb9roadX0GJUnQIFdh3phptY6OCkzgbz +vXVgpPbUSaOIDPfSvA+WPGGhhzcsOv0f1oFP492+MmUynIxZy7d+jIWqdteE +h7yqg7U3ZrT3xIzAebkpJ5vDbGR+ydFVT6gejhz1q0ydPwK/+Yd8VDPZKKyn +f5q5kwEnTJTl69/UgV5si/A6Dxr6yFlV7ZNAh+ArB+wevqiB198uNtVo0VGu +bM3CzeUV8KY47svtECqosXJ02ft4/197UdOoNZVgfOKVrLIcFYbd5uo0J/47 +h/HwNukLZL4qiOy+Ffd+NQXmKa49k3qOhdS/JVw4al8Fox6Ne04kkGH4kHfR +gToWqje/PFg1VAWUZbfyP/Pq+hSGijldgY18BoStqQbV8AwqPt31HIGZ47el +9TzZqO/rRPGN8mpItjR73MwhgX1LUIrifz7201cfLF4LkFiJHpQfJoHm4Nqn +m/Zx0Llya4fzwQAXnYz+XDYeho8S0hckEjhodgIl9OJHOnwy25JkrcCrH0pS +3H6M0FCuMn1ETp0O55fQWmZN1kDsn9c6T5LoKDtewX2+Jw1kbI1qd6hVAZgc +3nHWhoHy74qIfmIWQdB3aydlYQoELlrYVxv471zFnaL3Oj8GFoOLyQENtakR +aHWID7tvzEbniqUdtCjF8GDcPa/UegTO0ER+NBewUYKDdp7s9hKQTl65kPua +BMr3Yu2clnJQf92KExq+JXBo18ObOSokiL91+5T2LQ7qbZd5o9NXAhrLpste +CQ6DoeJJUns7B5mZbjf+uq4USA/4k8dzB2FmruLKV5tGUUOD/bqJO6UgJ134 +o1JvAP70vbzX6D+KIKyUU3ObDrvX2uU/u1sPKfm5rx9r01G7xOrzS1tpcGTs +w42yPbXwfrn+TT5+BtIONnr9TIAGS36LmJ0vqYJhEzrdoJ2Btt7wAYNtVPhU +JPhn15NSGC0aTBfk9cX/yknk70iVMVHMAfPp3SfnZJAg22YkuQ1xEDiGi5sH +58D1yLk/wheQgFaQ/mgJ7+f4Ss6yaehPDniu0tgrXTUE0OG4Zc4MB9m2MrqL +tuaCtN/7d2lnB0GdHOK022wUyU61trTY5IK+8JXl8LkfOAs1wyxKRlFdjG2Y +bXQuaCUunbC88xFuzLJ+MC3CRWvnx4hbvM6FsCVXXRLGekEj7EVx6kUu6tWc +sSoUpEPuRg8/9L4eDkcHbf3wgrf/7JnvudyEBmpCwgfCn9RC1oLOzJ/2vP1k +C1chM4AK46aPzyppVcM2A/vRB7z9+dB4+X2bDAps8q4Q6ftVCgd6zQ90LWKh +SV8lVdNcMqhHe99tPFEA0raXZMkDrP/NQ/z0Vx5iT4WDY8bSBDBGgqrF1kPA +vXclTkmR19eY11VMH0yAe1ZHN1nMHoRtXrYOzh6jiPrzdsLPewnwJHP+HWpQ +P4jttRa/PTCKrnXzTznkJkA2Wf3J6OKPkGBGbmzeykXK3x4dXj2SAJs3TQWF +POyFtjybh3z+XNS2pnLhB5FEcGgbGFg02g3tj4ynsvq5iC1wbe+WXYkw5BLU +nnygC/g97B+arB9Dla+a3b9H0yAcmYbq8c5D8atvb6QKM5An2/gUvZ8K/VlT +y+4N1sLiisS4ox8ZKPtVBfvHPCqULvjccKShGmRnKzm18vrxn1M/ozdIUWCF +uY7v2itlcN066K6uCwuxu9fWhYuSIWn2fq5degF4VXwXvWvARk/eTzNduCRY +UXmS1sr3Eh4jmvTD5RzULT1wYM8aGjjtlGGHeDaA17LK1ZzbDKR5sNZG+QwV +Zt6FHdLbUAc7XRKedmozkb3N8hObnShg1rm439MAID7g6Ty6BAvpj7auMHYj +g5yJo0x/bxls3d94V4zNQoX7rPWLbUZgXUxR+JfpArjCfHqutYKN5qWUCDdu +J0GfW2yMo/1L8CCr5rN9OWibU8qhnuE4kBkMH2PJjQBHua5/YA4H5UWRdtKu +x8HMJNf3c/EIfNc9/oWZyKs/naD390wshEeYlf7WIcOEL2PHH8RG+94aLPMM +jAVQXvf2+gcyaFwJHw8eZCFVt+OvVsnFgkBWnMLYCQqYPu6sQ7zv25qhOyEK +OTGQKiT8Oa2TArcV16ftXsZCWTJ2r/dnUGFb1TL4PdQAS198UbwzxECrKrOv +xHZQIPy875b39+pg7si8CqNcJqpJr7u+gEaGpqP2p290AWj/uvX8iRcLGa5X +lgsaGIEbt4QlY3TLIcPRnjJsyqtjh44xHEtJ8EVVon+2YSFMXTxoZ6vEQVub +hmozxoZgcRdFoGzwJUTVvw5t+spBJ2KSwq153xfVWSqZ8zhR0PjhDXP3PA4K +nqUZn3kxCyih1++YTvB+/nqixt9LWajty72Dwj6ZYB7UFO4xToFGKShU+cZE +BXJHV1tLZcK418zEbxsqvCD1eJ4KY6LA30EJYRkvwa6szmgj7/cxzmTxpv3b +mMjlTS+5eC0Vrp6obDmj2QiOhocHJPSY6LCR185xbQpMM77H0N7Wwa0nZU99 +pFnowaX7FtsPkkHKPET1zKYamBA7anVzgoX07GZup6mOwGymQ+yC4nJ4/Oa4 +vl4zGyX55qFjM8MwGHPZZH9SIXz5Sf42Es5B9Cyp+yvMB2HJrFMb5hzMBLm2 +VS/9LUfRTwnW8VttIyCZ+ehDr3MUVE6dd9ANYyOt52NKW4fJkLDB7+P8/HRw +08rbONXKQu+9f/jaHykE67E+A2czGlTKrOzozWUg0uKquV5/CuB9+kzukXoa +HCtdrB51jIFGHP2Gj8RRoFdFrNA1ohGWT0TEhebz/r9n61iD2WRQFJk5Zyxf +D6T5n5Q2+LHQ4rzr75xSRsBrzuHATzdrYE3cg/fqlmwUbPXH2sKdBPMzoxJy +VlXAkZbTzIGtHHS8Jn6hrusQnK4sljv2pRCWfbu8JX3OKEp6WqtXWdEPvval +JZCXCVevvxSIaxlF/gqJOW3XyaBwq6JlnVQU/HTPfeegyLt+z4tY6dsUuJfq +9UB9XzooqD46LnaGhSg3lwT7nqPCpnPnKCFm+WA5mrxpfRATHVEe7jbILAMV +7oICgSA6CD8yd6y/Q0cZrVXBdUIUOCiY/2Dtt0ZY6+I3P1uGhc735S2RXUyG +fR8mRnod6iFb5Uvqp68sFHvzbWjoTxLILVEV21FaAyfGktzuvmEjG6rwycUB +w3D49X1YHlQBsXlXfRUSeedReFpPGGMAqAc965v3FUFlrsHmLddGUUSc+Fjg +go/QsCAy47BkFvCnMgTNN3DRw2DpChdB3n34lh5YkRYJ+p7igrN49fCCFK89 +rnOoQKo10xPseAGXzr34UMFhIv95pqpPKFQIUTU92COQD2SfPWJjCkw0tzSq +8VsmDbYuq04VNCgB25d6QopmDDQvJuhK223efdqyVGHF8SZgrjA5LcX7OaIc +hb0OtiMw3KxWrlZfD1XBtuUO59no61b7u0YHSPCN5vSA86sGWiJzhmp2ctB3 +D5rkzJwhkNuWLtwwVQFJwTeLggVH0eMVpJD1e/uh3Ufj3cagIig7Pi9xuGMU +zRX07qzZ2wt5/is95jhlwTj/QK3cEy7SeMsE63gKvGCJv8vaEQkrzZ2olP0s +JHJ9+8EEfypMjI1GNlm9gOCFbbla95joXMR4M92cBps6Vn0UKc+DLVb8rZ95 +dbv0SWN5Pxk6sAf75z7g1VO2NF0P4y90lH7gqcqdFt7P++hLh3P5FbD7jJvy +ezU68uZqLBnoHgHquuc1dQVNMDj3rC/7C28/76HFx1aRQIz60VF8aQP02c0+ +eegtG80/vMdWYPEw1JaPlsDuWhigVqmFJfPu0xVhWma2A7DGw0RY+kIlOMW9 +U4u5OYpcCxcvFvXrA+iNGhfuLwKfg8/GRXdwEd/HJRdSrnTD2xMXNLZ0Z8G+ +FDnuFjYXuWodP9+rTIXXPmVqhi0R8P79HI3rnUw0Xbyf0sOrrxQ19BkvvqeB +j7qveJ8IE52X21gy0kGDetBcfO5KHnzP95s+Z8BA6q61VQd96XDFw+NMqmsx +rAj34yo9oqMdpnE/v65nQGFazTzX7RVwkSQz99Z7GroUJLWnrJwBjPEBdZsY +gPImoZT1y2nIJzpRAuXWwT2dO7ctqhgQEDOb7/g4FfHNrU2/tb8epp6f5tvl +xQCBAUMvpfU0tMJ+JnZZRz3oaMb/lNJhQJbB8S1aF2nI2fhQx37bBrjxasWO +8YUMGBeW9N7I69NNDy2o7ZjfCOlrNpfuaqXDjw2k2AU9NFQhv1rndUojiEo7 +nP3lRwcbgSM3SkTo6ATRd3cQfTfOTU7Uza4I5fXLs96Xlm3cSoPVh156TV9m +IBmL+1IneH2u68yu+fd590fqg8NmRukMpL+7rcq2vBG64xQ4pUFUaF0mnqvD +ZCCJKP2hD5ZNMMT6vHKI10evdk7OaljDu49qN2i5CjTDtP/uR5+pFOD/ailV +aMVEEz7R8adLmmHp9ejM8QAKvJ4KhD+8/ojrZZweHM+AyVpHtTCHOvBTVwsy +l6ChIoGXaxjDNRC8U+Xs7kE6PHBSvps9TUOVxeNhKnPqYMsBqTABEzqocosW +DzrS0XcvHZ/fMXUQtjfayXgxHcYMr+vEF9CRU1XjpuMa9SBUR+qk8+rxJmMp +sTWf6KiP6Fs7/+pbC9eaF0W11cLYUfHAEAMqnFR/vf3JCSZ6ebdPcpNNHUTs +n6s98YUCahtMwjXDmSgoTjVIZWE92CzpXrI48j+fYd8y814mutUz54fvy3r4 +bsGXNKFJgUufFDj9Uix0o8TOf6txA5TLTu2MHCDDan3QjzHlnfu0sPnLphtg +8JjYzDwXMtgcnL/MN5yF7PtekKTSG6F1da2QuiQZkKTEOf8uFron8MkqTZsB +jhr6YgV1dfBDRsxP4Q4NOR2anC9VTodMzzMltyNqwDLwA/OcIh0l7prts28C +YJ10hfADxDvX+OPJ98MZaHvFx+MzITWgevSPktIEFQyGR+IyuhhoH9G3NhF9 +ayDRt27IuT6vpqoKRmKTDSJ1ePX4gjcnLA+wUGidz8PXY9Ww0jfMTJ1X1wSE +yhX1+rLQ8kcxDdZiNXDofsWgvQcZfMpifz5pY6GhGJtn7fk1EFef4aSzggyy +5PM+l4TYaM3UgZCQE7VwxUo9qyJ/BCw5olf1jrDRTm7dnoBftRCssab1ve4I +XLv9g7vsCRu9STMmPU2uA9OLwe0PPpLgfE7NkubXbKTR7XK5mEaHb3Z095WS +9WCsak2p7qahX1xb+4VGdOh3marP5f1+rU1JyvriT0eTeXvN4nJ49XZtqe1p +wSqQ2aDy4SNioD3bnuVfOlsBmpySdznTFHi/w3XIsJaJbhJ9ayrRt+oQfevc +uXEC5mYloN1SaaIiRwZ6S72nwXY2Wrl3W1WJZylwxcWTDhbyzn8PWddmZzYi +i3ZGrM0vA77NeVPDOiOg9i7+jWY1G7l56+o8YJRDW7HNgsluEvCnCbg9msVB +h4LlF/mvqgSJ8Zy1vlYkiAxU6ovby0Heyx0vjl6sgt8XtjtvHx6Gs6VXxk57 +cNBj0ZuBKLsaLj+XzDzyeQgKbSanXgIHdXyp1M/0oMMvqfe+stfqweep2x6F +nXQkEbhQ5TiVBvFotpuESi1ICQqeWzhOR4t0HdRnb+edI4/Lfzt7VMHBsATf +skwGOk30px5Ef/qR6E97PbwH067ngptFl8PDDhL88f9ppabIq1f1V+ZIP8qD +Zw7FC++Zk+DWx6XGqTYc1KqeX9yWkw8R5OnunDfDwLBetqnmJQftV4oqcfxY +AN98v6/Z0cfr11K3owtcDspU37H9tWARbO+8HRQyPAgfPp6KuLVhFJF+bD19 +Zn8xHKp+71tNGgDZzy9uDtjy+rh3fuei3UuAeXAyO3mgHzRCq096vxhFh8Sk +S/ZJ0UEwZu6nZw314JUpcmV7LB11r/JMqHegQb4ztz7NqRYir+15nW7KQPG7 +96yzK6NCvsH7hfHzq8Foxbcgd0kmsihf9bOUS4FQZUH+OCgF7fuP407z9gF9 +og8dJ/pQQaIPPTO/tK9lOhH4w+5H3G4aAoeIP0fGF46iRMtjO3aIJQPjVWVy +Zf0gOKxTlRI4PIoS/hxYtUA7FVx7mi12wwDMvhEie+3JKFq66EzRtwcvoF1B +6KZ3Ea8/rSr8/fPNKLoat+mD4rsMiLN+PRWW+hHkNFy2PBPkIsGzR77fXJsF +nK8fmiyD+6C61slKSZeL3h1b+NXHPwcSq46Nt97thY8mGSjJnYs282c4bEmn +QW5KbPUNmQZYEhJbMTybgSgbvQ8I/qTC7V9DVXotteB8r2NVfi0DaS2RubBx +OxVqGzSjdj6uBhmSGNh6MpGIqqrEYgsK6Hg9ZjzZUAY9Wxgr3XVYyLxKS1r9 +BhnUdjOUrK8XQCuN7MbPz0Yz7/7nfEogzqs1xDmlvG+QNOREhVdDedt7Jetg +FUPy/KQyE82vjhT49pICexgJR+eIA5y/Ixux5zOv/gGLw2MtZPihK6EkElMG +76SF+xSLWIjhsoVs+m4EXnw/YyNQXwAXV696632XjVQO3tzC5dUz1+uTdoeJ +vYRbh7pvc3dwUHRLucH1veGwyuz6wZVNJCj9JFTUr8VBaR5zvL23hMD52YJ8 +ottH4HVfDcflBxtZfH1SPLnqGdyxmXouLkuGyPBfU5rmbBSp8qj9UykVojdv +Heprb4D5TfctrdoZCJ8r6cQ5s5U4X8qTyXVOyylQx/8qOJ3XpkpdOOpUcZaF +Zo/dkuVXJkOrbPKr1wLlkORXeH1yFRtdXfzBWFtxBE75ddxzkCgEjbOrB0MZ +bKRavEOdbx4J5mRvj17+4CWs1bxfyU7hoHUkBd09/CNwUl83Q5IvGp4dDZnY +JsZB0t9EOJHKvDrSNeeH/n0yuJiGBj5ezEYDK434X1Kew9sxqlfqLgrs1c9e +Ve/P65uKHF3kmYmwaseVDJEoCvyOvDSnW5uFjHMSZjn/iIcV4kXfpb/y/n9d +bSp3/zDR1GHb5PU7qOAqvDtHalMjPPNaH8zQZCIJA7/NU9YU+FwVw5YrqwP+ +6MFd+nNY6CBxfkgR54kvcY58fxk0I/twBFDpM1lbp3JQG3tXExjMRiuMkhzq +7Elg0tG8Wu9yISj0S/nWnuAgt8DhDzneQ/B8QmlE7tNLkN7KClRfMop2Wsz9 +Js6rb5+uvrQszzAG3o/kHs36Lw9i5U/5eWVkaFxhMaXxMR3OnLdaEk5noczd +gcrRW3JAlf7sq14KFQRcbxxaaMFEogdWXt66OQvW0V4HDH+nQvz057eJy5no ++rtE/6fZFOisiWiQf9QI2yq/mRxJ5dWruX5WWe1k4C6JOXVHoB5iA1yC+66z +UIeha+kz0giYbFrbzmdaA8+bpk5d2MlGrcR54EScDwLEuRD6S2OJ/uVheFrK +H6RaUQix5s3SgXUc9EU6cThzfACyFOY9kjydCbeuwnod11E0sp4ipHiGd269 +MldLlY8CIeUlTydV2Sj7ff74l8MUmN9Gy5s8lg7fMlfEDt1loTzqLoHdm6lw +LDc4P+ZhPvSpzR/YW8pEB0nTFqfyC2GF2NDX6AEaCJ96Z3J9JwN9sHy2Z0iW +93t7NmpFOasRdoQf1DVdzEK/32zqb9xOhgm7d7XfztSDxva8eZEDLERyzzqU +uWMEnqgs9L0cUwPGwa1i3alstPvqt3fH5UmQn56/Jv54BZyuv//n1jUOUiP2 +/RfEOdBO7P+Tmu2HKPr98Npoc9Hlukwo7W47eJcyimodru/u+U6GDy9Xu6vl +RsL3Jfw73OtYKHq6kn1giAJ5f8q7EqkvoObV4VMW/CykpDhQy8qlgkWuw5W2 +VflQ+8jy2YojTPSYsY7vFe+8r9FtzUnWbQIhd6GyCldenVbM2jI7hLefOG57 +dzarHvj9LEo3HGSj1ZIedCdvEiz5dczrNKkGhByehTjx7q8V1T5zttQNwYDH +L4P9NRVQkPfZoKWXg9SrOsV2ag+A1cDQlReniyBuT/6GobBRpPP8SEzlIwpY +hXLqlu2JhIHLfa0njFmI/zYn4+AlKiSJLhDdcOcFlB9NcUyJYqIPiL+qbyMN +zNDeZYXteTB8L2Nx7AgDJXu+MHWn0ODCyGYZnyUlENf8jft9PQP1nlI0jGKP +wJH7u3OK0pogNiRc7hvv99y3m6OzlkECkQpXTcs/9bBS6ai8ahEb1Z+r3ZwU +OQz7jMK8/FfVwmwxzVVdbhy0IHby+wHVQegf+LqHtr4Sep5QPP7zo2p6th5W +C/8IMz0b643TiuBtseimjb9GUdeizTvkllNhg7PW04z3EeDx7mdIC5mJUs8f +iTjMosLsvkuXuhe+gN3f3eu/qDCRV9J3pSOpNPglJlmU8SAPorlSUU53GMjM +Rcd8L6+uK9VKZ1EziiHgfoAZt5aOMuYun4rn8PqipLj5jfcrwE34U4qbKB0N +Lnw8um9RA7xvyVF5bcfkncte0vsXUZFAVl7bkcstELNZ+4mhKgVGCk8omQwy +keO3MY9Z55ugNixp3bELZGhbViCRGsZCscs3VjVnRsLMpVdV2351wSmZpHOj +AmPISfpp5fhMGExmzqjvWESBCoG6X4cLWWjnAcWom6pxkCc3JOnxqhOy73uF +S+wZQ1GL1jZf3xQJ3jI7qoryeO+rd0fk+Tbe9c/5i2brdEFi3o5fZ1fHgWi6 +yyZDpTF0e8O1wlre/bW5t1XwRnwk+GTeEcxJYSH873Ml/r3432kwF2V/O9YB +80mHspY4xYH9zmUueffGEH6/q8T7k4n3fbNeILdZrANcL09dl7wfB6P2E3qv +fMaQj+i5nbG7mPDxoqzQn4+1sH3XquR7l6koNn2Xbtm1p9DpX5ly+0QHiGhP +3p7rPoaO3muzlN/yGGY2/DLcfYACYgJadtO886JadSLu1sIuKBE6UN+pHAcP +rySc37ZtDMlWjHslva2HeOi6Z7eACd8mtUtvBFBRdKj9gN2POvgT+tRPU5kJ +ZUtWXuOzoyK/0091w91qQdeRv/s5PwPSNF7JHGvi9dH/yH2++4/55gl9henX +NLgufaEjnFsJW6cfdjEVGf/Mj67S/7luULIMlJJTyg6lUyHoUvN4O+/8Sp/b +P7c2rASsM30m/W2psHDRe8HJ2/+XB639Vx70v+Zva5d9ajEthbJZh2Qq/Klg +pRmu8sr0/3KiS/7KiX4DKh/8F1Mgqk+zf0i5AFhpCTkCz1hok2GFbfAor/5Z ++kty4/4CILlmSq3PY6E7DWFRyCgfjPpvVPbOokDwl3ryRDILLbHtr1HW551T +vonMXKECeHfNZOc7WxbS/cfnUH5Z4Q12DiNQoRsjp1eeAY9uHtFKaGKjmrGe +gdcrRkBeJ8lB8GcGDHzVOXL5NxsNs9YufSyVBq0Z2xvs1EbAs09j7dQ4G4UF +3v0iHMs7xyfkNKoSM+BLT8Pd5RlsNHFSfta7nTEgOK3Hd23OEASzTaTeo1F0 +JnqrmbXSMDTdCZo9MxgNfIyrNVGfOEiIeJ2E6f98HX49zo0u/ytXuvJredNJ +s2Eof6ejW9kVDT2erdoJIxzU4hozvjjgCbgJLSBn7yXBjaSf+ZKBHMQu6de6 +9C4Q6jfSzdIDh8Gi4quDcxcH9T1yd/ZMSQZKlcIa5y1kqIxxPid1iI1aiNyR +Q3/lbOoQuc63iJzn+0S+s9E/8qBp1imrfwtTYdMTgdHc2HzQv+274nc785/5 +0Y4ySp05Q8XA+JN5e1yPBsFr268tLWOgYUnHx+ompWA4YDod6EGD+j/u7sz7 +DPSeyINGRB60zl850bv/yolue3nn7rmYEnjfFVfkf5EGy6/npJ2L+b+c6Ggi +J9qFyIl+NG/triY/OvyZLTNnkL8Sfvt0l1U50NGVwyCwKpkOYqKO0ctGK2BX +0p3H5Sfp6KV8V3lccyVsk5CwPhpGB3rHoV0W5+nojPyCU4su0MHc92ycsUYl +PKpIEb0WztvPg9sVA+8yINVG6bT4/BooF8q1ETlHQ2yvWHFqCgNm712a1NIE +YP5ZQ/zBZhoSF57arJRZAwXJh48ee8aAeZevfd6mTkM5EH35+HkGJHpkv30g +VQM313sKetylIc7CLe/cahjQvt7BQu1YHXyZlaDMnaCikBWXRh930IHs2Cx7 +1LsGxrxI/b8E/p37zLChmF+ppkHqLfqigV+VUDq4QcNYlYHyfMyrS/cVwdOM +OQ+7BahwJcajuucNr28i8iyC/8qzkHfuqtQVJsEn/d+1lanRMDaloVmfwUGm +RVr573n9iefvm0subI4GEjM11HsXB3378XMiK5gMb3ZvmZv2Mx2shSZa5sxm +/zN/ue5GWHyVHBUKfTtPCD3NB7uji92CGpkoWXT/bFvnchBKz7fpaadB1Z68 +ERllBhIg8gLCiLyAbURegMj0GjvnpUyoWSf21nBOHUSOKT4Ke0ZFRg6+JwI3 ++EP4tvJiie52+BFfYHM7dAy5q7x3YZ28BpGCUjNmU2TYyPc+vLmehRLKqZz5 +Px/CZ36pCEl5CiRb9SQapLHQllcnDXQf9sKV1GeSb11iQWnqreb2AC7KIY+b +ja/rgbv3nHP72mLhmYHfFvEPXPRmb6Jhy2g3dDbdOlDUHgs6D74X5Q5w0d3c +lPzFXmRQFmlb+FEkCro2zSatkGAjK0N7t9Ut9UAb1NI4ac6EsZ68+juKVET5 +uq5cZHc9yETNfLHgnYfsEmHZ4BNUpNn454xOGwM2JO2ek3ywDuIu1M2oMajI +ld7YprYNYOG48I3PHnS4Fdd1YdCGjvTSRdbRmTTYOSnaeOt1JZh5XK5aJchA +CsTfDbh/fX69j9jHKol9rJPYx27u7AhIXWIPb7OtvcuuDMHFJ8lFUWtHUZBy +x8ALhg8M3hfuurdxGOJn37IyGOegPYRnPvQvz3yIbdUFw1wSiG2VqtPWjoY9 +0SlfDfU5yILIt3tO5N15EDl3zcT+ZkDsb+eI/e2Zs1KQj3gObH3x1W+2JAW6 +9dws3kWzkMVO6T+zRylwMkJzYXRePmQlmq4aGGOivRMf3LR2h4Gpj1Dll7U9 +oK5eS17ewUW53ycHrhf6wdzbSh8kd3WD41VxFX6+MbTbxOuiqvZTMJy1MKBC +oAt2fRo6arpjDLVf/p8839l/5fkeInJ++Yl5JjFfmB9w0MXHG6ILU9aKbiOD +3QN5dRlDNhJtcNHIyg0GRyHXu8z/+PW3wi+OqLHRr9yFK0MTH4O8jNHdGSBD +8HRn8TkuCy39K/+XS+T/Uon5z3/lApvK5p2sOtUAZnZeQ2eVmBDl4+5bdYqK +YGptfEtnPai5+eUav2QA1+Koyfgk9Z95vkb/f+b8Vv9jXuTWhJ3Mh2qwn9kr +ee8JDewDSxzun2Aglhn5Wu/1KqhPPNrjYkoDzYGOVXy8/f9pq0fp3iMVYBIQ +3SMwhwZl7LxSJyoDST9+KK8fUg66jx7Fl9OocJfS/d2Gj4ku0cP9d6iXww7Z +NpNrx6kgXLJ/g5MbE5GHDU9+XlcCTlSNzJsdFKApb35t/4WJzp6W90kI4+2H +x74ePh1IASPnh/1BG1noE5EL/JvIBd5O5AKz/pEXLFLaduGJWBH0rd3j18ck +w+R+l8Nbs1noyj+eO1rqYzNiz5cLj6K+7Tg0hwz2n4WOuliwkd6s9dyUA9mw +/BHfItrHEbiWMvvSuCsbFWvdHmXcy4Q7J6nayXm8/ml/qbhfFBuZnQqsXc56 +AVUWnDva5iMwHDls0d7JRjfTMlUnD2f9x416Od8jwZ7Nj8MGzTjo1JPtAtvC +IqA1OXGNvdoArOpLrVMtGUWB6TF5rl5PYL50r2LRNxKoJw4UrFzJQeuJ/F9t +Iv9Xksj/3UPM6/z/mAu8/B/zbhtLNMdzc0EhmHrOhffzEprpiC2LZ6Jzd5KU +9ujng4IKt319GBX8oqwUNlxkooCyY+ITcYXQu9HaC41TIT6b73CjMBO13pGd +l29ZBMaXqq2XiNDgqvyFyfkTvH5z09m3Y41FsC1auv1XCA2ubK/8LebEQMvX +F35jZpTCVw8Dmu0sOrisy/enLWCg7HWNpxOW8H6vuBrFiWp0eMNR8DJ4T0dT +RI7wMiJHeCORIzxn7v/nfOFIba9IFZNysPC/UWSQRofjkuHf1M3o6MsuXc+i +fdWwxYgRsnYTA/h85R93ldPQh8D+zi20apCd/m1wU5sBFxU9yNcTeP2Fxtm7 +1p4An91e2e4/xdvv5dQaLL1pKCFX0qXKvAZy7xsuv/iAAecuGJMWGtPQ7pG5 +fslve2DvAZMjnVFZ0LqqUeVMChcddBmV+k3rhuFzcVuF32VBslKEcFc7Fw3s +lvaWFu2EGO4fRS2TOFi6spCmZzGGNLIN+2daO2Fk59lNCppxcL3W/EU7GkMl +86tcPI52Ah9JYVLmWBx4/OlTh+NjaIXEtiX83bx6Jvj4sXBUByL5BU3O/VQU ++mj3gplvNCicq3zaq7ISJl84/5jzh47SUwIFbmiRwGrBmYmOx9EgKdzjt5VX +98baLmn5ahwEA4PbF8q3DwBX4sPDjU9H0faPrxgNkST4k1r18+exaJje8zKb +3/T/cnsLiJy9RCJfb1buyc35HylQ7ij441RlPhyf9JzxmWYi6kbNnv0/GSC6 +o4QWNVwLAnSK1sZSKvp5eN6FU4G+8JvepiJ0ZQCC0hftK3w5iiy66dWe70Kh +hWsx74PBR+gdtGG7KnGROZFHu4fIpy0lcmlViXmNv/Jw269/8KJFD4IptXRO +78EYsD+Zv17kzCgqCzrQ7XNpAIrLd7oHPI+B9K5FbJv0USS5NEXH+1c/ZN53 +7N1UEANhAhNbmfW8fgSUn5SVfQRzx7hILYFY0HK1ShsT4aIVp2UfHDj4EdIz +p6lWy2KhaPOyx57ruUiwK8V+xVQvDL+u5O66FgsLIwK3ld7g/rO/W9LX9r3c +jAK9F3NMWucWQJC+0O9XZ/8vx1bgrxxbe2Je8K959acKi1MfD4N4/l2NtA/R +oO3+4HFRBweNBJk/Tx4dho8i/E4J+dFgfMWpObKU8896fkNh6GLWCTqEWcS6 +px2qhLbgojax5P/Lq731V17tub/mFxHzUVv+zB9UZUKK9xa3DFot5D2PK71z +i4qqbO9/9ZdlwsnUdGudn7WQmf+RaRJARS2Kz1ZneHnAnIVOh1+btMMeth1p +/YsxlLxGr6XWoQ7U50z2T88wQEjB+5T5Cyoq+UcdfvNcSeV9nSo4YG64fesm +OmgljGoIN9LRNl3TAGdp3j6yUEHKSrYKSEaSDQK9dPTM7YXwbIFiEB+WDNBW +pkLjxynnxtz/y/28/lfu59x/5H7yE/MRxPwJYv5fOaGXLKxad1+nAPNPQF/1 +VD7Iv9jxoOIoCzV3hBiLiyRBaPjWmwvKSBCWvninzT4Ouqwll5qHUoAhdfjh ++wUj8Lr4kqGiCAcdNv3SfNHmOSitjOnXHCCBW0HVRK0y539zPO3/yvEMk58T +8CEpHE53x/gKqZNgwcw9cf0QXn1I5F+uJPIwjxE5mEJEH2FG9BF1RB9x5Zf4 +02Vz88GeNqZ0PYgCDQFWnZ/VWUgr3Vi6NZ0CY6q1zOO78uFtU5x1oCILafym +OUc0lMFJDQUDTgkNWm58Jz/SZaCHRH5lHZFfaUbkV4b8I78ygJjfRMyXEPP/ +yrtM+5GbVK1HB3/jzUKsM5XQcZktUppLRyS5eomou7Wwjms/+vw1A+Z7bnv+ +/jMV2Vu5rPv+vQbeHLiY2JfOAK1j5etfyNIQ38KcH5P7a6GvLDnhQhUDJmQD +7D/MpaHXAePWOU+q4R75rM+hK7z3+UVPF/eio9VELuNVIqdxPZHPWPSP39s1 +/3j93qcp6v4FBeAuMZRwp5z3fT76fK+QGAvRJhZaJIbwvs/Gx9QC6PngzXci +ckiNhXT/kcP4r7zFv/vQZqIP/WM6PWfwSDwsWxmh9/QBCVLCEpL4eH3EOSLf +MILINxQm8g3P/zWPcw+vEv0FztN2J/qL6i6P8YsXcqF3/6qThZoUuNc0vXKD +G+ufOX1S/+hnHYnXixGvP028/nddeptyewVkblWu0VlMh8CvereMWHQUpDnA +GdtA5/UjtO0+rpUQ6aaieaiVji4QuXqbiJy9mv8v+Xr/6ovlBy0/BvbWgtZZ +MbctFAa8+ZFw6vcHKnpB5Nl5EHl2jUSeXSox7/7XvAORczdE5NyJEzl31sn/ +M0/7K/8O57ud/yvf7V/zy4h+s/Svv5v5EfvGDWLfcCf2jRYiz+wSkW92mcg1 +Q0S/GUb0m+5Ev3nkH3UCziML+SuPbIKYDyXmvxLzaY8uz2vzDgJ5p0hmm3k/ +7NwR10bhjKLRbzVjYmVBsMEwI/rbYB/IhIjPkPdzEc6t1/qrHrjIppwWknoK +O11yk58XdIPsmwXhkmwu2tHx9qTY+0EIXH8gvHJvDDyaVdJ5/vAo6rtu9PLz +lgEoKeRfq/syBj7/+mUTVzyKjLZ9L2B4fARu2lWdisWxcH5E/HWeNBeduVI5 +R7KmFx568ovY34oF6nLn0Qk3LnIncrjO/5XDpfhXPlcnMZ/wj5wsJ+I+SiXu +o/vEfeRD7NtyxL59nNi3f7/9nxwrLpFjtYTIsfp6XzDzkJQDNG7UbjxT3wUO +vhOF1ZJjSIToo+f/1V/rEv9Oi7/+nUqmWm29EX0gqaM6K1cjC24plltnHeCi +h9sn6jmlvTARt1/wvkMWtCtesbh2m4tq5gmEFU13gWtotvDXmVhY/czyRQr/ +GJqOfb7val43SLrb68+hxEK5+Nmds5hcVDr56omURjfsr724OG46Fup3lNFN +/3CRF0cj9+zICNzNCVA2cI+C4+HpS554s9H6eWsFfo0zQNAiXyT7Qh0cOq9i +ea6MikxLDt4wOUWCjotTb+42R0D80UWdp+9zkGx7WmbGLXvQWHrk8t2wfjjj +9+PGLNIoOpsblzsp6gfztF1Mha/2gbWRu4LxWS6K+8fPxdFJbU+rLwWcGkP0 +x5QLwIhyTO62JgsJ/CNHbHxdssnp7XSodlTR1dWohGfPtxRa1tPRgX/s21f/ +kQf6h7gfr/6VP0id0fx/798rxP37gLh/l6Z7bF100AHqZYIUs6/3gle0Vo1u +CBfdmpYQNNO+DXp+j3K6KN0Q4zHv+GwyF3lKyN+W9noAnb7G0g4Tw/D7+kjP +rHIOcufkJjhIesGC5WeD2xNJsMGZmy5lwkFjt27+GlJ8AL0CqVoGPSOgcbC3 +DvF+D8sI/+3s5v/x39oT/tvzf3lQXQkPqi/hrd5A5DiIETkOWf/wJq2XfRXK +uVoAISU0j6psCoCT1hpZGRYaXdTIPex9AaJZppqfL/ZDoMVQzGnevnGQ8LwE +EN6XPsL3Mn/Pl0wPoUrQvdopM7KMDtllyXsow3SUvXy1dsFXBjCH2+1+kWtB +1lenW7aSioru9ST1eJpB2uHq5dl0Muzb7Wmi185CZTt2gOipOthtOj3WyOt7 +Tmy+0/gll4oavi97v3QlHSbVF21/I1UFUQKC9LwO3nnkfJkmx38BdPk/Pb2t +PwS//dc/Obl5FN3h6F979SkCzue9VqvRJUE4+vSn2o/3/X8qIZr2nAK3PzkU +lKN8+BEQOmO4nvW/HoPhvzwG2os8VUl3roC7osSioS99MHyn7damPVz00SJL +vmuCATox+mk95+ugp3tUy4HXl6X4sxJPnSTByvB3Ey4tEZBBPzvfz52DHAkP +3pq/PHhKF2x1PXZUwVNztfAv6+kgsoGz+C7vPMV+tht/+dkCCd+4I+EXX0x4 +xX01m75ISOUDyb69wDecAo7iqau28uoZX8JXto7wlR0mfGUDem3yy8IocHDx +0540Wj7cNNA2qlJlIRfCz7zgLz/z6hP9bg0qdHhNupk9fK8StIabhq3b6IhK ++Ht1CX/vM8Lf2564VdZkqBaG0rk9qxgMYET8+Ln6DRW9pG5ISftyARoP8fmp +pn8Aj2XWUtTaMST7D//8svvLObu/mIE+1WPjz9cj8Oeq7cqAcDaqe3fcfjDM +ElRuXj15ILkLYoP/0C7JjCGJ2x4aCZw4MAub6TJwIoHsIbibd4WDbsZXvD6N +SHDT5qe3/6No0Nu7pW7pEw7Cn3Pjz73x592YF8X8KOZGMQ+J+UjMRWIOEHOB +mAfE/Bvm4TAHh7kvzIFh/gtzTZhzwnwT5oswb4Q5I8zVYM4G8zWYM8HcCeZN +MI+B+QzMZWBuAXMMmF/Az/fj5/3xc/5zNweaqCoxYdHdjt/cUw3AbCzZOHaK +ijAXijlRzIdiHhLzkXEEF4k5QMwFYh5QleDfMA+HOTjMd2HeC3NemLPC3BXm +rZ4RfBHmjTBnhHkbzN9g7gZzKZhTwXzKXoLfwDwH5jgw54C5B8w7LCGe+z9I +cAD4+X9WZYG/lR4DmtLFGWLWdaD8TNRW0pGGMA+P+XjMxUsTvGgWwY/WENzo +YoKTxNwk5iU/EXxgN8ELbic4wWKCf8M8HObgThEc2nWCS8M8Wj3BXwHBY2EO +C/NImE/6QnBJngS3gzmetQS/g/kWzLuYEJzLV4IDmSS4kFcED1JDcBGYkxgk ++AjM+WPu/yXB+2MvAPYEYD+AxJHWI4VadJiwXerit6EG/J4Mia9NpSMuwZFi +rpRL8KQbCX4S85SYo5Qi+EDMC2JOUJbg9DC3t43g9TCfdpTg1V4SnBrmtXQJ +fusJwW3NJbgmzDlhvukQwf9gHghzQLIEJ/ON4GYwL7Oa4EZoBEeC+RHsO8D+ +A+w9wH4E7EvAngTMvWMOHvPvx3/c35A0m1c/KcW9enGkAryXJXE6qAyEn4dY +TDwf8Z54LmIHwZ1+IThUzJ8mElwli+AsHxJ85VqCb8S8I+YcJwiuD3N+mO8b +IDi3RIJ7myR4N1OCBztG8GGYC6MQ3BTmqKoIfuoDwRc9IngjzBlVE7wN5m8w +d4N9ENgPgb0Q2B+BfRLYI4F9AdgfgL0BmJPH3Dzm5dWs6CSBQAr0zvxq7gwr +gl2Cu/rebGShXcTzH6HE8yD4ORApgkfFfOr/cqkEFzqX4EQxHypC8JCYj4wm +uEgRgg+kEbwg5gS9CI4ukeDqME9XQ/Bm4QR/hrmzLILLmkNwWpjPaiU4pVkE +t4R5JezFkCA8GdiPgb0Y2JOB/RjYu4E9HNi/gb0b2MOB/RuxhJcBexp2En4G +7GXAngbMuWBPAfYWYF8B9hRgbwH2FWBuH3P8mN/Hn59hjh9/jubWdX912ccR +kD2y+lnzgWxwv/erR/geG+HnhzDXjp8jKiCev8HP4+DncHyJfhv337jvziX6 +7V6i/8Z9N43otw2J/hv33W5Ev437bxrRd78lngPAzwXoEs8DZBPPpVURz6nh +59NuEc/D4efj8HNx2FeC/SXYW4L9Jth3gj0n2IuBPRnYj4F9ENgPgb0Q2IOA +vQjYh4D5f+wDwB6AOSJL55tYD0HR5yX6ZUsToGlkbqC24ijCnhTsTcG+FOxV +wZ4V7FfBng7s7cC+DuynwL4K7KnAXgbsacB+BuwjwH4C7CXAvD3m7zF3j7lc +zOliPhfzq5hnxRwr5jwx94l5T8xDYj4Sc5GYD8S8IOYEsRcGe2KwHwZ7ZLBX +BvtksK8E+0uwtwR7OrC3A/s6sJ8C+yqwpwJ7GbCnAfsZsHcAewiwf2Cp2Dpd +2+IR0IQCf337OJC4Y+i4N4mNMMeLuV7M82LeFfOvmHvFXCjmRDEfijlJzE1i +XhJ7cLAXB/twsDcHe3SwPwd7W7DHBftbsK8E+0uwtwR7OrC3A/s6sJ8C+yqw +pwL7F7CPAXsYMOePuX/M++8VKcjzvkWBdyOpAWe+ZUJsO9ki6CQL4c+38Odd ++HMuzANjPhhzwZibxRwt5mcxR4q5UsyTYh8Q9gNhLxD2B2GfEPYIYa8N9txg +vw32uWC/C/a6YI8J9ppgnwn2d2CfB/Z4YD8F9lVgTwX2IGAvAvYhYC8A9gRg +P8BTvw35Xbz+3TSSsmpPfCHkP585K8+7j/Dzefh5PfycHuaKMWeM+WLM2WLu +FvO22IuEPUnYj4Q9StirhH1K2PuDPUDY/4N9N9h/g7032POCvS/Y94L9Jth3 +gj0nT4p3JlTzzgk+HUffKpFE4DMh0QP6uQh7IrA3AvsisDcBexSwPwH7BbBv +AHsG7FfqfLZSo0MSa2MseUk5QOsuJ29enYCfR8TPJ+LnEjGHjLlkzCNjPxT2 +RWFPFPYfYR8S9iBh7w/2AGH/D/bdYP8N9t5gzwv2vmDfi3LQ4k0/D3TBqzPb +GtbtSoQi2pEM3fVjCPsysD8DezOwPwL7JLBHAnsWsHcB+xawjwD7CbCX4FLh +nquntBnQ1cuyMKX9P63deTiVXfgv8KIMFUWDSooKpVREA2ollWiiVKRSUYaS +mRSKRCFDkSlJhsxkCBlucwONqGS2J3tvJKUZZ+33fdbvPce5/HOu8+e73q6u +Nut57nvx/dyrDJzq7Nr87jMQyamT3DrJq//wG63neWOjWV6DPH8swv9OleeO +VU/VlNlUV0LwX/5fV7ezYEOt+DRJJwbS/y5sIStRBVt8ha0LGUzIUNkeXPKe +gfzKNWoXW1fBhuxJIZmeTBD/6FawaCMTzRdzrY2qroIIT+2WbXOZcLsXFqjE +MBHxbMS3EddWdO/Wx9Z31aA6+Uf6l0I6bB2QjzqFz7m24VfnLVxdA8/3Bcoo +rqfDJmXTY3T1HtSZEtEqH1ADsfxO2+5k0uCMfamiblIPCloy+qmCXQOrhSeF +0RbSIHiZ8osDYmx0wuxuaZp2LcjEfp/4Cvdr4bqrcwvc8H6gvAfxH8R9THIV +u+UcUQ4jaxvseZ74+pVPNjxHLDHDuC2dVg7LPomtmnmACdcY3zXKrjPRq/ff +2heurICE1efjDOkMuHnRu5j/CxNln3/ZkeVaASH1hfOf2TEgQnXP3kRDFiLO +LZxyb8S76a4ZmilfVAm5Ia+KR87Q4EVW+Ykd/GykPizU4jWlCnyXlYTlv+uG +hqL63nc2bOSaELJA4GgVZMjSNr5Zh99bGVITQvD5K/RUd+65jCrQWmkbMO02 +3u863fPkdDjIJ/rZKauRKggdqvJdxeqEK+LXpivmc9Adyv0SB0z8r3HRYNfk +oFIwVpXyjtjIAMaPa7mbU1joVqzOr8cCZXBRlPnEsYgOxoeW2V+U6EHEpxGv +RpzaN3vVOaKG5fBh6GLyvc4ucDC1dj62kYPWLXwf4n63HCLLJBOL1neBmvrG +9PokDjJhvt5v21kOPjv5m677dEKHmGSMzUwuOqxwbn/UEvz1FC08XRjZAW5X +Vi995cFFxIMRHzaVcmF5jl2uFQbFoNFkvvSEdCdECBnUW1tzUZb0MZpjeTFM +VjgZs7+yHSo6uPgsyEUxJjRXEYUSuJ6owjip3AZCGk2pg5q9KIlyVsqUuyLe +asHMofWvj+RDpaXQ+gPbWsE0N1LrQ1gv2j6457zbw3yY6Y0E9cI/Qd3cF5Ly +f3rR8NF//SmT8qdA+dM/HxeceXY9A2YaPDG2ffYBYpm3GtOS+hCZX0DmGZA5 +BsTtN4851xCvvoU6vxC3Tpy2PXVOIV6buOVD1HmE+OUBKne7jcrhErc722xJ +QdhuOlSNCBy8V1cBQ3rdKOBgD7ogns13bwcNBkCZ87q0FCQ3iDgc3c5GfCmH +8tYu6oa2PzmtzkcLYO+dlJna6zio0/P818CGTlhV65r31CYbVuQuXqu4lItG +NEtKhava4VSfvonDlzio++7e3iPcix4FJmkMT4gGqddnbDYLd0HWtmGZ9Xg/ +rFa+5PY3OAq06kqaj+B+sMZxf9jBeA76ckaKFv8xGmJE3irquXbDm+ld87dL +cRDxb8TDEQdHXBlxZsSXEZdFnBbxWYMtBXGbGN0gIZdY19ZfBqaSYpcar7OR +3BAnzCCvC+ZEjqS2XC2Ex0aWCXAR970FDW0Bxzthw+n+M3oBjyBBk8/orgXe +cxGj2zur2qDdX8g3dWYCWLYvtJiAz3fKAwt0lT6lQL7wxSb+om6ovpI9NQK/ +l7TrcxV0rFLggLhuz3s9GjzzkhSPcGaj1EUy1fr0ZKgzy2Grt9Ng3+GtkebC +bPRwnXwQ1ykZvmaaVGma0+GHUuOOdNyvZs1rKcsWSgb62u2qOmw6FA4dyvux +sgeFG7ouYu/oAqFliW+25RSB1qr5TqplHMSfHNPz7mUHLLeziuHPzoGGK07e ++Wm4Pg4tvmAFrSA4YXX6rW1JcGNWfcTJwF5EnCRxk8RLHlgQyLRdmwPeE4Km +vsD98tb93y/H6vYgR5u1puHvHsG2mSc63q1igJG5jUc8PpelWO1ZGOn1CBwW +7Vqgm8SAhOV8N92dWUjx5oyfes3tYPXiJDv2Uy6sFqlPM+7joiQPO4tH+S1g +cetp8aWrydAknLn+88te5GZitP9D6mMQWSmmuVmfCb4hl+4PVDBRf9LAztyk +T1D6SDvH/XUqvKF7yQVN7UMXKT9WSXmyF5QjI/NfyDwYMgcmkvJpxKsRpyZJ +ebd0yrtlUd5tpONfh7aLcmnEo1lQDu0a5dKIRyNzXsjcFzLvpT/EZD/P1zV3 ++GZ+Hw0D78sMFs/ZEb9HPB9xfGSeJpmvSeZqknk6ZL4OmatDPBvxbcS1Ec9G +fBtxbSXfdYffN3RDnOzzXF9Xa+jWW37+TwcbEbdAHAPxC8Q/EA9BHATxb4so +D0ccHPFvxMMRB0f8mx/l4YiD+6JVqSyuzQIxvhWx7X3lkNAlX9Tkz0A5VO6T +5ECHqPwncWuplGMjfo04NOLSiEeLZSuD36pcyIpMv71DnAby6t5PnPE++UF5 +M+LPiDsj3oz4M+LOFlBOjLgx4sWIEyNujHixaZTz+n34/3RexHcR70XyKoPf +PoSFanbCH3PNyUpegeDz2LkBvxkQcVzEdRHPRbwW8VvEbRHfRbwXcV4kv0Jy +ryTHQnwX8V7EeRGvRbwXcVskF0tysiQfS/78rjF/nngt4reI2yJei/gt4raI ++yIO7H/8F+W4iOsinkvB5NrNqdNKYNXozFhdPyb43DrRrmjHRMRrEb9F3Bbx +WsRvEbdF/BXxWMRhEX9FPBZxWMRZEXdFvBWZszxKzV0m85aJvyIeizgsMveW +zMEl828TKX9FPFYR5bCCqHybKJV3I96qh3JWxF0Rb0XmS5J5k8TpEH9FPBZx +WGReIZlfSOYWEpdFnBbxWWROH5nbR+b1EZdFnBbxWSRnRnJnJG9G/BXxWMRh +RYePnP8t/wG+M6Y9Pb05DHbK5AfOa+hDxNsQf0PcDfE2xN8Qd0O8DfE3JBdE +vA3xN8TdiH+JuflqajdU6Sjv/RvpAyYPWQUXznHQmbaUUJ63kXvu4ZmTjQ+i +P47d5rkb4m2IvyHupp9yNbMpZ9NP+RribYi/Ie6G5HfDqDwvyfGSXDXJWYdQ ++WqSxyV5XpLLJeuCY9YFqbw1yWWT3PV46ySne4bK7ZK8riiVzyZ5bZLTfkfl +szuovPYBKqdNcrckh0vyt+P9XIvka0neluRsSZ6b5LtJrpvkZUOp/CzJzZJ8 +LcnbkpwtyXmTPDjJgZN1kgcnOXCSoyW5WpKntaP8HvF8xPGReX9k/h+Z+6fY +q+v/0qcSTp9QbZrhxwKlBQOBqooMtNxhwaBNYiW4hY7cX2vBAuks7q1BPQaS +Xq1rpPK2HOS9UyvZ1kx4mCvxknGeiTjjuKebO2I89C6XwrmJEeJKOgw4yS92 +1SeahWY1sIId1+eC0OVCTY3Rbph5qvS2Vzwb/e0venvjci6oF533rnfuhh3D +1gORk3Fdm72+s/1OLjw2rXpP39cNmw22BFdJc9DnB7MybzengsicsEMi2l3w +/FPsvr4uDnLPkBe9UZMKkYeZF4UduuCOzoXjN2rGX+8TiHcOW54Gw99FTi+v +6ASvVyUfm1W5KPOQ4IN35mlw+aTSIR3zToAtck3y57goe6Fq+MRpdyHK1MXR +JqIdJB/xlzyT6EWV1p7TVdjRUHa/MHT6yg6wYzcclvnMRcMXaxZ8F7wL6iu8 +Tre8aIdbu1HUhCm476UcBXEVdpSnyJCfcODUQBTUee4yN12H+2v1U5n3vnPQ +uWMybjnlUaB34F2FhEsXaPaphvfXc1DhtchNMTdS4MNXC3urlTTYquqg8yWE +jQ6N8Uf+lD/y81Asq96cA9UGC0ZkEunw5epvk5eHx6+PUdRz0Us9Fxep58Iw +7/zoOdkC0KsemDfCwnUhsEjRWva/dX1qvZBan/t9PrP1dzF8nLBRcU44E3S7 +9R48MGOiRx4uTw4HFMMc/oQnHv1MGFIqVt8mwkRSOkJI2qYYVsjtTbssyII/ +hzXjC78ykDgKyVZnAzgfmW3mGoTrW0LFt5idDPR+4uqNE4XKoWx7cIKNKwss +BEM/TTzx3zpQ6+bUuvLmGZnq0AQ/1A5W6uyPh6is+qij4v0oLbyLz6qhAW4W +20klFIaB4JdM0Tln+9F6ykvEUX5ClHITxCETl0w8MnnvCYx57xFXQJwB8QU2 +VL6QOAPiC8QpV5Az619noEL5ApLbJi6Z5LeJNyb+mLhj8l4KGvNeIj6EeBHi +REgun+T0ST4/ifI8xPfcoVxPM+VziNcRppyOS1/wdZ7To1tEJ2mERcBZk9/J +PK/3LmCVLc8jaXzIfe7/OhRSEhhveC6JeCTik4hLIh6J+CSSQybemPhj4o6J +Nyb+mLjjb5asIBFbFoiKNUl/9K2AnAf7Y5wPM8ZdJw75EuWSiUcupvpnDap/ +Jr5Y3NnsH1escUfy8UNxW+j0ePCPLyaumDhj4ouJEyZumHhh4oGJDyYumPgf +4oGIAyL+h3gg4oBI3p3k30nuneTdSf6d5N5D04/NVNxVCRJJRn9M6SwI+Pmg +0OwFHRGnTdw28dqlN08pxq6oBDGO+kNFLgu4CWbBetV09PvvjbADTuVQMFr1 +OaiXCXee3vld/YUx7nr+1PxztFPlUH25o/ntJPz3N9w5v7qZgdZT3lub8t/E +fedT7kiFckjtlD96IcG+cXYjfr9we25OUCuF/d3pfw8WMxGTckHECREfFKA+ +R3jQIApOhea9cXfFz1lQXkLtWS4irps4b+K7i+ucZbbYR4PAKYuXA2c7YZ/X +Q6v7DlxEXDdx3sR3S1M5cuKBiAMirps4b+K7J6z91/noU+6njPI+W/arB7d6 +0WDtMOzzn5oDJzQvdRzF527ifIj7Id6H+BzidYjTIb6ReEfiHMf7vhCHQ1yO +P+Vx+ignQ9wM8TI+lKt5HfSvs6mhfM1454WMVT7arWr3IEhocrqaHu7/U5Mv +nLnKRbco90J8DHExIdQ68THExRBXSZwl8ZXEyRA3Q7wMcTLEzRAvQ5wMcTPE +y5D37dwx71viZIibIV6GeBjiY4iLeUH5meHqfz2NJeVoiJMhboZ4mfHOKY7r +/vWfeZQH1aUcKPEwxMcQ/0I8TNKY9fF+7nGC8i3EuxDnQrxTH+WfiHt6bKdU +VZzVCRFLd88bvREH4gKri213clEBtZ5IrYtR68TJSI/5+QNxMm5j6iBxMsTN +EC9Dfp6wd8zPE4iHIT6GuBjiYYiPIS6miPJIDyifJEm5JP3oVYpOb1igWWYZ +lRBYATWh977pc+lIj1rfRK3XUuvE/RIHTPwv8TbE3xB3Q7wN8TfE3RBvs3VM +vSPehvgb4m6I+yUOmPjf8d4PHt72myvOlUBuY4alszo+9/f0ZpiXMtFlaj2H +Wh+m1rPj+eTfP2iCkN+TFPxnX4DJnJ0sX6l+RHwL8S7kPHs/uWjC3bAGeGUR +Nd3Pwg666iYHDTr3I9PtUkfWVTVBV7fz4cnKnmBkUq/jJ9GPip6k7Hnw/gOM +dEw7sFUxES6kLL75I7UPqSqe+m050gQNUXmduRAJD2tj0f4p/WgVtR5BrSdT +60tXlf84Hd8Fa2wX6lh5BYJAiH+TVA4HyVPrUdT6ZGrdIB6p1Kp0AzLsni4p +HgijdNVnH/ZxkELgcxGhd12wkwsT4gfdoD8z07f3Nud/9j9nzP6fZJE9S8au +E/jokwwajsRC4u8bMq42XBSbeOSLdOJdMEg9/Pu4ahcYamQca8T9PJmzT+bu +k3n7xy3WPA0UjgJ/9orPzKvdoGzuWq8+h4OIlyN+jrg54uKIkyM+Lq/YyJzn +cOghz/9xOQcEbR14HmfuGtdlHHm8zphfYzjiC2nDbxOP/+pFAUH8ES4VzZC8 +y7Ky+FMAxCdZ/7yg24cc/R+v5z/MhNUpjsbyc8rg1soUt7JIJkqk3qtOY96r +J9dsWr/ckAZfZSc+kv2bDU+lZz2eYs5GxNsQf0PczXjvGeJwiMshHucc9X4Q +od4PxONIh+5aGv2uE7j3Lp70uuEOvcJ6n802cNGvw0Z54uXdsF9OYMrb2qPQ +sOxj3vF+Njr8Xs2X5w3oTvr/+IOthx7+4w7kBwUe2sp3wveIktNuH/2gaPl9 +A7jHRbMeHBvguQiNl1dkeU6iQFR/D89H6FIuYu/Ff52EFOUjhE37/vEnc7Mj +3y0WNgVPvmX/OJSO9eg+z0scnuXqxvMTTkEm3Tw34U95ifjGf/3ENspNuBd3 +feR5Cc10r3/8xPXBlp88N7GUciOulCMhfkT2iAj/c4VKsFc+KiLUywIBy+rs +E1V0pBKWb8k2KYeKPdvOFgixYEXewNn1TQzk0Rglr6jChJZHKgKTV5TCXJOL +0pXlTJQxU0Rxm0M0hBy1r/xm2Qn0gG2/XztykRflTL5J/utOplLeZPcWgym/ +btCg4Vivvf+iHIAp33/Eb2KjLg/bzJl/WeBonf1a5lwlnL9Z2bkhA/97JAu8 +uhe2wdYLGUdV2WbQv9vHvsmjF71yWT71jGYnGG89ZHVOMAL+tq0czbnJRbI5 +VcsfN36CAYffcFjUExTvrrojKNKHjmYLi4JyM/xds8Fh/mZPWPh6wm8+qz4U +kaPx6JTnB6BtsphRcdYTskya+1dU9aHW5eoNwlKl0GIS3hIuxYT171Lsh98z +Uc48cF+1KQd+hDQf00ymgYdLOF+5LBvpL1N15zkoEdOJbjwXlSS2XoHnoT69 ++NdfVVAey5xyWMRBERdFPFTtoY3SPAdVpbeimOeizj8T3czzUF8N//VaRyi/ +5Ui5rSUW1/7xUfUvlbR4Xsq92fQDz0lVlxcbh6iy4GveyOnyxnJQb+FOZscy +kOeJf33XQ8p7TaScV34UbQPPa8kZzu3n+a2Qcw4xPLfVpbBl7tlLTfAYVR9n +itnBX6UYjeSl/ej5TdEV8bQC6HFVVoiZxYDzq/TM4mksZEHdn7hg+N/7Ewuo ++xP1TJhDq6S6oNvg+oiKigPc1eV8pgtzUfaiyXFNlV2w7Pi3OKe8CzCirtMp +f4+DMjlzQq+r3oOQH1znOYadYD8jNaTUg4sOs/gDLp7shEbVqvmeovegoO7z +ZCVXLhpVzt7iJFUNrAJNhnIKA6JqQK2dj4US9jSu5N0fEBtx3X1zdiXse99l +zLtHwNpFRWvvswpIDUg9L/qLDkPlJySyKlgop80iqlGiEqyCM0taXemwYXbe +se8retDGM81Tcj1ZkPVBN3Q3Pie6Koxa7ljJQFOzFg9uamPClKW3djM7ysH9 +1MAX3lx99dJnw7o3y0B10zODtevoMOvQOwPzqz2of89b76+zAIamnTj9JY0G +v7dxg7cN9CAF+WHjiBiAOY6LfR3n8+4Xml8Ox9ioIfHkRIkdLFArPVw+u6EK +MrfIBaHTDPT25+PV0yKZwPKdb9p8rgIOhQ0cHFJnoh67Np9ExSJ4VC97RcKE +ButDDNsu7mCjgoyPft+ji0BaJ34O61k3GPhFXFHIZ6OSfcZiKVOeQH8uR29E +oRts4xZf+buEg4Q4jiN7XJ/AxDcJnNnXuuCCf6XSnVu4X1JsmfgZvxdYTQUJ +6Gw1VHeHL1K6x0CoU2mjwCEmOBSp6yzlrwSOgOfbLhcmmmgrEPrdjwH3CutO +Z1SVwY23DVGCRixUdM2hkVOZCxYmz+P2ve6CIrve0zcvcFC906dFm+fkwSsN +nVcqS7vgfPB1o1gWB3l2i/vMsMyDyxOClzyy7YQPuQl36g9y0c+1ShenFOfB +9/6Cs2ssO0AnTPT9nUoukpSYkqz2ggnaf0v/vBaogTMfZ40Kf2AgZV8Xmb24 +r463T/YdulsJh17Y9sTnMpHc5akPLiEGNIxUvFIYBDBYY7rSJ5yF9lzoCi3S +p8Oz/p9aW1c9gcwFg6ldV3oQf3bY8EPPNMi+pNHyeVInqOcObRpK5KJhfUmR +sP40GDyyLMDbpx3kuPFt28R7UfOW25NvG6VDja6ArdeXVnCPV3fSd+tFLx86 +84tVpkPyzqUKtbot4LnJ/eplWi/aby31+9cNJsz5advwPLEGnKdX8hdNZyIX +KHxOe8GAulLb6r1qVVCuuXzL8s9MZHJC3UR2kA7inLDy77fLAYL1VLOaWOjh +8mq/lL80oE/Zu13/WDGctHTRP1TRg2YLacYdZnXDYbr3lTWi+VCj/3T0ZBYb +kXssyL0W5D6L5rUyq91pdPARtJPZL1EDZQPucgdSWCiSyhulUvkjco/DmySX +pUtqOyFK6xzc0AwHk889fp82cdH5iWYX84Pp4DTL68SZJzUwzenxV50eFhJQ +SA2aFkmDFHh4XlaoCgTZ9hNO8ea9U7mfeVQOiNx3oGzf82H7nS5oD/zsKWQf +AX3hG6xmFHGQK+fOjt2Xu+HWpKv34lckw9zXyZEBYhzk/WaJZ7M6HWJ2VHa9 +OFELfzIah57J9aBip4qbHHy+e7D42223tCroDY4o6J7LRtHnQ8M3S3bDHqe5 +JrU55RCUsemytQjen1QeiNwnQO4RUJmhuonb2g20DSrbVT4ngqniU9+Fb9io +SkzxGJdOg1Hv2mTHKU9h8KB6TaFZDzo465FYEP7zxmEfLWX3V0P29YboBEM2 +avrc75mZ0wXLvQ0eXz5YAWyB2Hn793LQtRwjpptZJzy0jG82X1ICPu07VyRp +ctF6Kj+USeWJyNz+43aj5dkaNFirEGfyhxYPnI5nq4v92MjeWmD5DT06xLHD +dFTissHgnmyBbHwPmsXU/tDrT4MvWjtrDxQ8hT0fekb4HvQg/SSF3j8XcZ1w +z7Cf8rcalmoGLQwOZyM/lw75Su0uaHkxscLpTwW8Wg9HlwZykL7eyX2zOzrg +qO+ASvHpUrjFOnX0tCcXWfG9DUzobIUmyykZKlqPofqrkA/tbC+KfZX5RiKK +hs/L1ZtP9cSBopSV1+ttbHRlo8zffYl0+HjW/GOjUha47J4kymfSg1ZmOPTl +hjBAsmNrkH1JPlxAo4/2XWIhvto3U5QkuiH9+lz+6Sk1YKtu/CqoiY2m/T3G +d+FTJ2yuFDfzSqiEOLVe/1f1HNQgMmfH2oF2eHSsqkUiswxChaP35AEXBVsd +2XO9tQU29/lMsL9SAEa5p2puJvciufxAH5khGrg8mphU8zMWOJ7dto4jPSjN +rekJ7Qcdbkn61x5ekwGtylYT7s3vQV6n/WVjWxlgFCopbJ6TB8s/6Mqd28hC +9gvadAySmJBfjLx/6j+BLZuTzHYeYyKxedZFQc0x4LzwjHxj1ntI9nQd3tfT +h/IX8c23jo2Ex21ronnziUcnXV30v88ldh0zl9iXynnco3IfZO7xeWoOby01 +l5fM43UavrcrOZkO5S0plrazi0B1e/9eC40e1KP26227Ng3E1X4kaw3mQolR +28M3Vmx0NkvkyMfsLqj1mVeocyEdvz/i8+ZE/+dQdMc4FFFqbuy0MfNmV1Fz +V8kcVjJ/NbdWvuvgTgbITDaapdH6GAwfezilFOH32Nd5Z/TN8DlzdpGs9rli +kJe83CUTxUQT/gztemfIgvmOuy1dPQHsLgmXMX0YaNLp7d2Jl2JAao9i2pZr +H2Ff2HDiev8+tKxqSWXj9CgIca66w5tPGbJm4RBvLuUT4yWPfpWVQ8vxpTEK +15kgpBlrdeogE52Z9OqH0/xcUJW4vGnGBhostK7WOerKRhIy6+hX4+9Czrwn +jry5VgNbF06yTOlFX36u/LI+JQUCvB7sVxGkwXNnn5LADDbi7rh3wnRlCaiV +5J3xtGXCbiu7vwZ+TFT+LOzy+0sfwT6/wd7qdhZskDed8uMyPtdTc8kGxswl +e/MhKEh1Sgxkxskv5c3H2jK7toI3F+sBNQ9rPjUfi8zFIvMul4/5ffpqao7E +UmqOhAM1R2JBbrNE049KkLLSVPkuzIJSurCQag4D3aktqwndWgXWJ1X6/fOY +sE84QOuSIBMN+1QesA+sgkXRyz4rGTPB33XRHYHjTJRc7f3uOO++pDtfU54M +M+DP3erNtfn/5XXH3pck0rj4WvzTarhvNzqQ/IwO6zL4GnRrWEjra2Sp5dwa +mPBc3kvDkA4mZhfULWR6EOvXLq2nljXw9eZxp6JuGmgu+H5qjUcP6jrlXxde +XAMuec4GA+Y0aK2dZnCxpQclnr2YlSNSC69e94Tn4LrHnThn09yN7HF/X7nd +W+/E6hkVkB0259BJUdzXLN3/t/c5E53f2rH4/YEKMNpEU3yezgApb37XrCUs +pHLfxmR3RAXMqei9nL2DAZG9xuyrHuPncrevnTxknFUJFuLPKpRcadAuaa50 +e6gHvZM6XvTmeyVkfJ8AX392w+ztPZN2GLCRsPzee6dx3yk+5eqOKQ7dkPft +RJJ0Lhud6+Fc679WBdHGfTt1WF2QuYNfm4PrneqMFW1qL/H3i6aj6nsQr//U +8TWz5fxfOQ0yL/eA80jg/g+lcOJYqKwmB3+dRcoT5vTj9+ruxntH9pRBX462 +QepFOlgIXdpwa1cPkqDqse6YXK7dslUHJuiVw+OTz3/FDnXB/eyHeftWcFCj +XZ/zuYByiCnOFa0x7YK+nQ4bavw4aMYJIWX3Z+UQsn6+QFFdJzx6tK8wlc1B +RfNjT0yYVAGOznfvGSp2QqFE9s18bS466OLwx0aoCObc/Zr0MJwGErVZeXqS +bHRhTF6X3ONwTGu4Nm5nMSgInva239AJ1iLFDy1MuKg3Z7T7enIxVAQk1PbK +dUD/hkvH55dyUUpc/6dGgRJgKJYL1L9ug+k5Hld05/2X1107Jq97d9e0fez9 ++fCjyZ326WIrrsuL4k2v96LZRzY9XhSRD5l1S+IeCbXAwRNfnk3v+i+v2zMm +r3s8wSlSxDMDTAy/3VKY/BFGv0XMdIzq+/92b+lvyiEvoFyy7f/jvaXZ63Ql +b1jR4U7z9trbiyvhipiJouWGHgRa7Q9k/XAfNY0RJ6YGYLQr03z6FDZSaOu5 +KBjSDWoBPpNLnheBglRANbeVjY41b2zRd++CjGuO85y/5IL2kc/fnTI5yLDv +jLr5nk6YM7DmscLJNDi27Yt75CUu+pFifGSa8F24lLw79hU+t6rpZJyO0cZ9 +kXVt6rqBSKiL2l76NrUbKuRalrv8xv3bpE8TsoMiYWG7dMIqJRrUTFJe3ov7 +lvve3vNyhGhwLd1+on42QLZ3UU4hrmvlr8rtO/m7IWbqbXX95U9gv93Sab74 +XCxzNNDqMa0T9Og/li3emAfB2rdMu6dz0YoqXy2XPR2wVW9GnAekQfs1Wf4L +Ldxxf88+0rDOwGhmCkjT5m5qTKGBXfviHc7KbHR4TckKgbxk0Dsb3ta+lA6a +rw/JM9/0ILUGhoXVwWSwshgRvhhFB1G52rs/bXCfdvfGlWDbLiiroT9Muf4E +Og6qnWyKxc8X85x0klYn9NGvndS4kgc65dpbz9ly0bySmPD6wTbo8qqStV+Q +Dtrbn9+v3NiLcqm8U8WYvFPiq6uso98eQYPCeYCJDNB/9udRv1APam1Q+/kj +8xGsunpOWt2aAZ/MNh2RTsV1+Rjt2XS1Drj+cZOgX20eoA++y0pec1G1Nle5 +yK8Vwv0tutNc0iFqg7Pj7Du9KFD6UKJh02MQHTix57ICE0aRlJ8Ai4k8kv/I +qc1ugR0rla+8fJMOW7kb9gkO9I471+ITte+9xsxz2PYlfWcw3peiLkluvnif +RrzOzbPC+1MkYpLgXWMW0NKWtWhkVoLCuSYVreOMcecbhOh4BvHx9vHwm3mL +8b7uFpNxEsf7eVjIO3oL3jfrFMoWZuJ95H35/Ggx3j8TBSWefMP1cu0kRZO3 +uH5e4Et9uQ7Xzbqrkv5JZ5nwZ7iu0PRlOfDRBC0P2THRvHHmA1RqaNcn4OfE +xuj60ET83AjUvZQYwM+L9MoDkavxvoy0cl7zEe/TufdCN93E+3Nv9uWdgXgf +hKwdCb6B98UbTROjT3g/hN7areWH6/S0I/dLgnHd3ndzooo7rtf8xcpTj+N6 +ZrHG+oo8rm8eyxz8BnBdE1AxvsQ1YMBM9UNl+qdKIcy3b8gjhIV+Klx5YIif +T2eFk6W6+Hmd3af26yJ+TjXubtszuCEPPvjTPVLx85FnuNyUg5+LN40HEoTw +/ps49Lw5Au/HuammxY54H9aU7HtthvdHNj1T5u/GDnjlMiJZifeJuIvLsTW4 +b7D8djPjPO4j1vikHhHC/YPNNLHOGlxfbw3d932F623gK5veHFxns4QDtTRw +far2OHtEA9erh2pTDCVxnTooO+1muBgdTh4Q7hd4WAi2TKmE+uIeXN+3dszC +z2erTI3rUfy8Wvz6MngZP6duaS83DEqmg39fq1Yafj7il+n+qMPPhUD4kkEl +vF8n5v0OjsD7t+eb5MyFeN+qsy9NdsP70ulT4LMleJ826Sm3TsP788zC+sgi +3N+sPDhkdxT3O0rSweZPcZ/z6772ikzcBwSku6to475AtSpCywf3AzNucJKT +cB29X/jkmi6uq8Oz794Pw/U0Payg9QGuZ1bcF5uMcX3zOqhXbYDrGuv49bDM +6G6QG7gTefR4LnQ+26WdymWj6VRfPX1MXy0RbzrYGHoXYrIWWclGt8Ivi51H +Q+/2ogiZrsKkvrtgpf5DyUi2BQ6ZTlP4870XhTTvyuvQioHbfK7fJB40A2dm +xvOwvX1oh8Dq3OY7+Dzy4iXrithHYDw24Pv6oA/FIrOHXswYaNC4mtXi8B5M +U+fOiP7aN+79Yj4DCcEPcT9novs2+z7u74Q7Ulbtrhn/fq7ZoMrdiPs8dcGi +aDPc9wmkK+VY4X7POeTJ0VW4T7JZVr/lIO6bXAXK5O/gfmm8e6zOp4h8XP+g +C7Jp6RKTudEwoV1D8FA2B2Xe7v6aj/vF+meNgeW4f7RbYhm5FveNR+85x/Xh +fmvW796pNbj/mnvDRnYX7rv85N/yR+E+5pJQ7PC3feWQkD6gYYD7mbpx7o0K +tJL6smY5DboqJ6Z5O6TAoI/6sF0oG3VPaTvRi/tRt61hHsG4PxVb3vfaHfel +14y1/fhwP+ezaVD/MO7vBmxQhxzu63yN06YU4z5p88qZI0a4bzJbG3WlHvdL +123Uf1riPsbe85q5F+5rSk66qJ7H/YzKOPc3edi2cFpwvVE1jQyOx/VnzkaV +ERtcd94ZX5XUCqGD359seoRaDpjqrZuZZNGDZKxed2fi/ng0N3Z6Ou6X2TMW +nZTEffJN/ZUhmri/PBinn9OJ+80WFe+NA7jPNIu71ZiB+7aDXoaylriPc8xL +d8vB/dtAcJpDA+6rNoeKphjjPmuCqODqxbi/uvR8mcRT3CeJanTI1eK+6Vbg +4F8L3C+tHGeu3R3P3wN0XBcTk8yHtuI6uc9s699OXB/nnjEdqcb16e07sXcu +uF6VGz+vY+M6NX2X8258BgWDdVriRqsL4EzbrmIpLRaqHOceHz1NvleeuD9W +2zzvghLul6daPPWywH1y56Ije/Rw3+ncf5z2hb8CaDn904px/3kgcu/oY9wX +LhdW18zGfaKhoFWSHu4PM37W06Nxn+c/fGHy7/B8ePu2bd9s3O+lKG0b3ST0 +EeQSP7/+dSMDDtG+n6mL7EPXxtwTRKPO6beZZ6zccb3/UzHH9Cau/9qlcnFD +uO5PnsNR24zrrkHzNVehrEcwP83fSArX3+3l09M8cR2t11jodxrX1aRUt2mT +cD39GcQQUG1kwg9PFxW/uGKwFU86PWMZc1yHQlxJ5hhX8rjp6F9e/6TPt0Ug +C/dTP9R2sLi4jyKuxJv6HOTfr0GdW7upc6stdW7NT7i99lYqCzqVdpx0Na+E +uzYvb92ewkDnNtDvv69lwgtNwZmng8rh5OYL1jkSzP/xEc5jfIR93YsZ15bm +wnL5jdFrZGkgu6jNztaXjR7OUfZxWkqDxNSZ/c0yuSB9vOHJpOv4nD7OnBN5 +E4eMbb5d0KTP8p2amQqv0702ninkINFx7rvJoeZplFLzNN5T8zRsluw3lPva +CQ8HZzj0zYiGPsWp3iIyXNTpKR/dntgNtpEM4Z/sFJA5Me+SwTc2ejrmnpcF +lAsg/11L/X9Jav3TV85GjQUlINFqdM/SnQmrOu4L1rgzUU3Rj7d0NyaEP65R +E5lfAlN2VRYaeDCReQbrnaM1C+Q39yjsnV4OUmgpf905Bhp9VfeN93VffeGq +Je/7MN1TfC/v6/9y/sZu3te9ZMf3Ad734eyFdWK8r/+vBkf9Jvx5Up03f16K +P9/KZclnRfHnmpdrJvkZfx6RAzr32vDnsx7J2XgQfy69qQkJPrhOHHpuXNCH +68bbNqmGL7heXDQvU3nH68t9PbWVcJ8+c8mRJmfcn1dRfWc+1YfaUP0nd8v0 +phf4/S6946tp6lEWdEg1tkw+xhg3PzxwYs36aY8KoW3JEb39s+iQcvzpWeui +HnSfOs+Q8w0513ikJehWmuZC3Vf1jrUx3dAs/DXSi8NGDQ6CtRm5qbDit6Gf +2PUusJhYteZTAQeBzfZPi86lwbB8iaDIvk5IcHPbFXqRi2g1cSEvs6PA077l +wIaALnjr1jN1MXDQYSpPK0PlaQOoPO221IHm5xsK4KiZtHDACwacXKnV+mkL +C+1eSisoSiwGk/jqYYUmJsQ0LxMekWOizQ8miG+bUQ5/CrQNGbzv58Fh2234 ++xiwrbBBDtd137K/m9/hOr/O4TYfr75bvE+fZ4zrurv9Yvu7vDrfc/jJb1zf +E949WjoP1/WWSIbFM1znS7R/BvDqe+k49zSJwwq/l07vQTJ94GrH5xjgNj0x +V8f1/dfNWXJ2C7vBP/DYHtCLgmf8V4IFj3HQ/wLcJzZf + "]], {}}, + Axes->True, + AxesLabel->{None, None, None}, + AxesOrigin->{Automatic, Automatic, Automatic}, + BoxRatios->{1, 1, 0.4}, + DisplayFunction->Identity, + FaceGrids->None, + FaceGridsStyle->Automatic, + ImageSize->{371.57738499294186`, 295.7737358680265}, + ImageSizeRaw->Automatic, + Method->{"DefaultBoundaryStyle" -> Directive[ + GrayLevel[0.3]], + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, "RotationControl" -> + "Globe"}, + PlotRange->{{0, 1}, {0, 1}, {0., 0.9926542147394825}}, + PlotRangePadding->{ + Scaled[0.02], + Scaled[0.02], + Scaled[0.02]}, + Ticks->{Automatic, Automatic, Automatic}, + ViewPoint->{-2.6463091735175737`, -1.1185946208034125`, 1.787678335849721}, + ViewVertical->{0.4866195581039902, 0.20569403814192883`, + 0.8490532187934653}]], "Output", + CellChangeTimes->{3.8858791898887053`*^9}, + CellLabel->"Out[84]=",ExpressionUUID->"deebabc3-7d84-4249-b813-68c8f35c3d13"] +}, Open ]] +}, Open ]], + +Cell[CellGroupData[{ + +Cell["Hard OR", "Subtitle", + CellChangeTimes->{{3.885877836985486*^9, + 3.885877847007763*^9}},ExpressionUUID->"da6b773c-484f-440e-88f4-\ +c4f0ae557d5b"], + +Cell[BoxData[{ + RowBox[{ + RowBox[{"f1", "[", + RowBox[{"x_", ",", "y_"}], "]"}], ":=", + RowBox[{"Max", "[", + RowBox[{"x", ",", "y"}], "]"}]}], "\[IndentingNewLine]", + RowBox[{ + RowBox[{"df1x", "[", + RowBox[{"x_", ",", "y_"}], "]"}], ":=", + RowBox[{"D", "[", + RowBox[{ + RowBox[{"f1", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", "x"}], "]"}]}]}], "Input", + CellChangeTimes->{{3.885879469747402*^9, 3.885879485434997*^9}}, + CellLabel-> + "In[100]:=",ExpressionUUID->"99930600-e08a-4809-98a0-894502dd3459"], + +Cell[BoxData[{ + RowBox[{ + RowBox[{"g1", "[", + RowBox[{"x_", ",", "y_"}], "]"}], ":=", + RowBox[{"With", "[", + RowBox[{ + RowBox[{"{", + RowBox[{ + RowBox[{"\[Mu]", "=", + RowBox[{ + RowBox[{"(", + RowBox[{"x", "+", "y"}], ")"}], "/", "2"}]}], ",", + RowBox[{"\[Alpha]", "=", + RowBox[{"Max", "[", + RowBox[{"x", ",", "y"}], "]"}]}]}], "}"}], ",", "\[IndentingNewLine]", + RowBox[{"If", "[", + RowBox[{ + RowBox[{"\[Alpha]", ">", + RowBox[{"1", "/", "2"}]}], ",", "\[IndentingNewLine]", + RowBox[{ + RowBox[{"1", "/", "2"}], "+", + RowBox[{"\[Mu]", " ", + RowBox[{"(", + RowBox[{"\[Alpha]", "-", + RowBox[{"1", "/", "2"}]}], ")"}]}]}], ",", "\[IndentingNewLine]", + RowBox[{"\[Alpha]", "+", + RowBox[{"\[Mu]", + RowBox[{"(", + RowBox[{ + RowBox[{"1", "/", "2"}], "-", "\[Alpha]"}], ")"}]}]}]}], + "\[IndentingNewLine]", "]"}]}], "\[IndentingNewLine]", + "]"}]}], "\[IndentingNewLine]", + RowBox[{ + RowBox[{"dg1x", "[", + RowBox[{"x_", ",", "y_"}], "]"}], ":=", + RowBox[{"D", "[", + RowBox[{ + RowBox[{"g1", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", "x"}], "]"}]}]}], "Input", + CellChangeTimes->{{3.885879482750905*^9, 3.885879500054678*^9}}, + CellLabel->"In[98]:=",ExpressionUUID->"1e56ac08-665b-4919-bb4b-9f9d0096edcc"], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{ + RowBox[{"g1", "[", + RowBox[{"x", ",", "y"}], "]"}], "//", "FullSimplify"}]], "Input", + CellChangeTimes->{3.885879625571269*^9}, + CellLabel-> + "In[103]:=",ExpressionUUID->"92db0e76-58ae-42de-a76d-6aa262bbc7f0"], + +Cell[BoxData[ + RowBox[{"If", "[", + RowBox[{ + RowBox[{ + RowBox[{"2", " ", + RowBox[{"Max", "[", + RowBox[{"x", ",", "y"}], "]"}]}], ">", "1"}], ",", + RowBox[{ + FractionBox["1", "2"], "+", + RowBox[{ + FractionBox["1", "2"], " ", + RowBox[{"(", + RowBox[{"x", "+", "y"}], ")"}], " ", + RowBox[{"(", + RowBox[{ + RowBox[{"Max", "[", + RowBox[{"x", ",", "y"}], "]"}], "-", + FractionBox["1", "2"]}], ")"}]}]}], ",", + RowBox[{ + RowBox[{"Max", "[", + RowBox[{"x", ",", "y"}], "]"}], "+", + RowBox[{ + FractionBox["1", "2"], " ", + RowBox[{"(", + RowBox[{"x", "+", "y"}], ")"}], " ", + RowBox[{"(", + RowBox[{ + FractionBox["1", "2"], "-", + RowBox[{"Max", "[", + RowBox[{"x", ",", "y"}], "]"}]}], ")"}]}]}]}], "]"}]], "Output", + CellChangeTimes->{3.885879627163022*^9}, + CellLabel-> + "Out[103]=",ExpressionUUID->"1fe54f60-58b6-4d1e-b0c3-0c1e2f919109"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{ + RowBox[{"g1", "[", + RowBox[{"x", ",", "y"}], "]"}], "//", "PiecewiseExpand"}]], "Input", + CellChangeTimes->{3.8858796394593267`*^9}, + CellLabel-> + "In[104]:=",ExpressionUUID->"314aeded-6b2c-4e9e-b2cb-d29800b478d1"], + +Cell[BoxData[ + TagBox[GridBox[{ + {"\[Piecewise]", GridBox[{ + { + RowBox[{ + FractionBox["1", "4"], " ", + RowBox[{"(", + RowBox[{ + RowBox[{"5", " ", "x"}], "-", + RowBox[{"2", " ", + SuperscriptBox["x", "2"]}], "+", "y", "-", + RowBox[{"2", " ", "x", " ", "y"}]}], ")"}]}], + RowBox[{ + RowBox[{"x", "\[LessEqual]", + FractionBox["1", "2"]}], "&&", + RowBox[{"y", "\[LessEqual]", + FractionBox["1", "2"]}], "&&", + RowBox[{ + RowBox[{"x", "-", "y"}], "\[GreaterEqual]", "0"}]}]}, + { + RowBox[{ + FractionBox["1", "4"], " ", + RowBox[{"(", + RowBox[{"2", "-", "x", "+", + RowBox[{"2", " ", + SuperscriptBox["x", "2"]}], "-", "y", "+", + RowBox[{"2", " ", "x", " ", "y"}]}], ")"}]}], + RowBox[{ + RowBox[{"(", + RowBox[{ + RowBox[{ + RowBox[{"x", "-", "y"}], "\[GreaterEqual]", "0"}], "&&", + RowBox[{"x", ">", + FractionBox["1", "2"]}]}], ")"}], "||", + RowBox[{"(", + RowBox[{ + RowBox[{ + RowBox[{"x", "-", "y"}], "\[GreaterEqual]", "0"}], "&&", + RowBox[{"y", ">", + FractionBox["1", "2"]}]}], ")"}]}]}, + { + RowBox[{ + FractionBox["1", "4"], " ", + RowBox[{"(", + RowBox[{"x", "+", + RowBox[{"5", " ", "y"}], "-", + RowBox[{"2", " ", "x", " ", "y"}], "-", + RowBox[{"2", " ", + SuperscriptBox["y", "2"]}]}], ")"}]}], + RowBox[{ + RowBox[{"x", "\[LessEqual]", + FractionBox["1", "2"]}], "&&", + RowBox[{"y", "\[LessEqual]", + FractionBox["1", "2"]}], "&&", + RowBox[{ + RowBox[{"x", "-", "y"}], "<", "0"}]}]}, + { + RowBox[{ + FractionBox["1", "4"], " ", + RowBox[{"(", + RowBox[{"2", "-", "x", "-", "y", "+", + RowBox[{"2", " ", "x", " ", "y"}], "+", + RowBox[{"2", " ", + SuperscriptBox["y", "2"]}]}], ")"}]}], + TagBox["True", + "PiecewiseDefault", + AutoDelete->True]} + }, + AllowedDimensions->{2, Automatic}, + Editable->True, + GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{1.}}}, + GridBoxSpacings->{"Columns" -> { + Offset[0.27999999999999997`], { + Offset[0.84]}, + Offset[0.27999999999999997`]}, "Rows" -> { + Offset[0.2], { + Offset[0.4]}, + Offset[0.2]}}, + Selectable->True]} + }, + GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{1.}}}, + GridBoxSpacings->{"Columns" -> { + Offset[0.27999999999999997`], { + Offset[0.35]}, + Offset[0.27999999999999997`]}, "Rows" -> { + Offset[0.2], { + Offset[0.4]}, + Offset[0.2]}}], + "Piecewise", + DeleteWithContents->True, + Editable->False, + SelectWithContents->True, + Selectable->False, + StripWrapperBoxes->True]], "Output", + CellChangeTimes->{3.885879640267899*^9}, + CellLabel-> + "Out[104]=",ExpressionUUID->"594d08b3-c239-4367-8fef-7815eeda666e"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"Manipulate", "[", + RowBox[{ + RowBox[{"{", "\[IndentingNewLine]", + RowBox[{ + RowBox[{"Plot", "[", + RowBox[{ + RowBox[{"{", + RowBox[{ + RowBox[{"f1", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", + RowBox[{"g1", "[", + RowBox[{"x", ",", "y"}], "]"}]}], "}"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"PlotRange", "->", + RowBox[{"{", + RowBox[{ + RowBox[{"{", + RowBox[{"0", ",", "1"}], "}"}], ",", + RowBox[{"{", + RowBox[{"0", ",", "1"}], "}"}]}], "}"}]}], ",", + RowBox[{"GridLines", "->", + RowBox[{"{", + RowBox[{"{", + RowBox[{"1", "/", "2"}], "}"}], "}"}]}]}], "]"}], ",", + "\[IndentingNewLine]", + RowBox[{"Plot", "[", + RowBox[{ + RowBox[{"{", + RowBox[{ + RowBox[{"Evaluate", "[", + RowBox[{"df1x", "[", + RowBox[{"x", ",", "y"}], "]"}], "]"}], ",", + RowBox[{"Evaluate", "[", + RowBox[{"dg1x", "[", + RowBox[{"x", ",", "y"}], "]"}], "]"}]}], "}"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"PlotRange", "->", + RowBox[{"{", + RowBox[{ + RowBox[{"{", + RowBox[{"0", ",", "1"}], "}"}], ",", + RowBox[{"{", + RowBox[{"0", ",", "All"}], "}"}]}], "}"}]}]}], "]"}]}], + "\[IndentingNewLine]", "}"}], ",", + RowBox[{"{", + RowBox[{"y", ",", "0", ",", "1"}], "}"}]}], "]"}]], "Input", + CellChangeTimes->{{3.885879527597584*^9, 3.8858795331280727`*^9}}, + CellLabel-> + "In[102]:=",ExpressionUUID->"908d5a7f-7fa9-4362-b9fd-c2e6bd74ddbd"], + +Cell[BoxData[ + TagBox[ + StyleBox[ + DynamicModuleBox[{$CellContext`y$$ = 1., Typeset`show$$ = True, + Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", + Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = + "\"untitled\"", Typeset`specs$$ = {{ + Hold[$CellContext`y$$], 0, 1}}, Typeset`size$$ = { + 485.021484375, {71., 77.17227800619892}}, Typeset`update$$ = 0, + Typeset`initDone$$, Typeset`skipInitDone$$ = True}, + DynamicBox[Manipulate`ManipulateBoxes[ + 1, StandardForm, "Variables" :> {$CellContext`y$$ = 0}, + "ControllerVariables" :> {}, + "OtherVariables" :> { + Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, + Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, + Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, + Typeset`skipInitDone$$}, "Body" :> { + Plot[{ + $CellContext`f1[$CellContext`x, $CellContext`y$$], + $CellContext`g1[$CellContext`x, $CellContext`y$$]}, {$CellContext`x, + 0, 1}, PlotRange -> {{0, 1}, {0, 1}}, GridLines -> {{1/2}}], + Plot[{ + Evaluate[ + $CellContext`df1x[$CellContext`x, $CellContext`y$$]], + Evaluate[ + $CellContext`dg1x[$CellContext`x, $CellContext`y$$]]}, \ +{$CellContext`x, 0, 1}, PlotRange -> {{0, 1}, {0, All}}]}, + "Specifications" :> {{$CellContext`y$$, 0, 1}}, "Options" :> {}, + "DefaultOptions" :> {}], + ImageSizeCache->{542., {125.9462890625, 133.0537109375}}, + SingleEvaluation->True], + Deinitialization:>None, + DynamicModuleValues:>{}, + SynchronousInitialization->True, + UndoTrackedVariables:>{Typeset`show$$, Typeset`bookmarkMode$$}, + UnsavedVariables:>{Typeset`initDone$$}, + UntrackedVariables:>{Typeset`size$$}], "Manipulate", + Deployed->True, + StripOnInput->False], + Manipulate`InterpretManipulate[1]]], "Output", + CellChangeTimes->{3.885879534392806*^9}, + CellLabel-> + "Out[102]=",ExpressionUUID->"05dd4fef-df14-45fe-9c29-f2e753ff2fcd"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"Plot3D", "[", + RowBox[{ + RowBox[{"f1", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"{", + RowBox[{"y", ",", "0", ",", "1"}], "}"}]}], "]"}]], "Input", + CellChangeTimes->{3.885879648325309*^9}, + CellLabel-> + "In[105]:=",ExpressionUUID->"a315d35f-d4ac-4912-b912-bd911db7500c"], + +Cell[BoxData[ + Graphics3DBox[{GraphicsComplex3DBox[CompressedData[" +1:eJylnXuYzuXa/oeEaLsoQ1KrZrVZSSMSrfjShgaxlKwIMWhVq4kShpU2ZJuk +sSpkLyJeS6WxH5uUbQbDoEEYDGPQhrRSzbt+v/f63M9xnM9xHfOu4/XPeZzn +fJ/n+T7nc9/Xfd33975uv0/t+XCP0gkJCa0vSki44N/4TK1G4/+Q8kk07bG5 +i4bX7N0IPu/YnuKklDVBhyctrVxnUdqmoMO3fHHTp0kp24MOH1nri81peblB +hzd9L/VoZlpe0OGlEv7fvwNBhz+xcMuopJRDQYeveGpS1ZSMw0GHX33Ns7PS +8o4GHd5/2911MpKOBx2+a8hFqzLTTgQdfufdu1vmZZ4MOvztU7P2FBefDrpy +fFQ/leMfuvqJrn6iq5/o6ie6+omufqKrn+jqJ7r6ia5+oquf6Oonfnk+qp/K +8Q9d/URXP9HVT3T1E139RFc/0dVPdPUTXf1EVz/R1U988dqf56P6qRz/0NVP +dPUTXf1EVz/R1U909RNd/URXP9HVT3T1k+/v9Vuv/Xk+qp/K8Q9d/URXP9HV +T3T1E139RFc/0dVPdPUTXf3ke3rxzuu3XvvzfFQ/leMfuvqJrn6iq5/o6ie6 ++omufqKrn+jqJ9/HGye8eOf1W6/9eT6qn8rxD139RFc/0dVPdPUTXf1EVz/R +1U/u2xtfvXHCi3dev/Xan+ej+qkc/9DVT3T1E139RFc/0dVPdPWT+/PyEm98 +9cYJL955/dZrf56P6qdy/ENXP9HVT3T1E139RFc/uQ8vn/PyEm989cYJL955 +/dZrf56P6qdy/ENXP9HVT3T1E1395PO8PNjL57y8xBtfvXHCi3dev/Xan+ej ++qkc/9DVT3T1E1395H29+YOXB3v5nJeXeOOrN0548c7rt17783xUP5XjH7r6 +ia5+8npv3uXNH7w82MvnvLzEG1+9ccKLd16/9dqf56P6qRz/0NVPrvPmq968 +y5s/eHmwl895eYk3vnrjhBfvvH7rtT/PR/WzpPURb57vzVe9eZc3f/DyYC+f +8/ISb3z1xgkv3nn91mt/no/gkSVlN9+YMj346nGw2z+isWl5p+K4vp9yrgN5 +f9V5XUlcdX0/vQ9tP19vfa/2LSkZEcjfBzTpnZmZFruev+vruK4krqj3g877 +6/vo9Xpf+r308w4Wp29elLYs+OFxkH7E3z0OPtWmX9Xn8r4Mr/c4SH/k7x4H +e13R/saEhK3h9R4H6df83eNgzQE/RikZO8LrPQ4SH/i7x8Fjh8a2z0jaE17v +cZA4w989Dn7QonbvvMx94fUeB4lX/N3jYHKHvzbNSDoYXu9xkLjH3z0Ojr60 +Xk5mWn54vcdB4id/9zhYtKZMl7zMI+H1HgeJw/zd42DzfjlFxcUF4fUeB4nn +/N3j4Oxbp/dPSikMr/c4yLjA3z0Olj3Qq2xKRlF4vcdBxhf+7nGQeMzrPQ4y +TvF3j4Matzyu8Yj44nGNL8QLj2u8oP97XPs//dnj2p/pnx7X/kl/87j2N/qP +x7X/0B88rv2B9u1xbd+0V49re6X9eVzbH+3J42DHN5oUL06bG8ZfOHjje3mf +PJeXGbBV3Yq9ExJWxXGwwqTZo1Iy1gb88sKmszKSNsRxcNBz+SvzMr8KOOVv +q57NSNoWx8Ffr33rX5lpOQEf39FpaF7mzjgOLhles1JCwu6AVRqen5KU8nUc +B/t8t6FmSsbegDkzxy1Jy9sfx8HE/6pzQ0rGgYAPlnv/6bzMg3Ec7Nu19IK0 +vEMBZy17+sfi4vw4Du64cts9GUlHApbpVX9wUsrROA7esXHKhsy0goCpSeUu +T8k4FsfBMS8/1y4v83jAVbt3TkzLK4zj4Kk7GuYXF58IWOPND27JSDoZx8GW +BRV7JaWcCkjcIr+D055oh3DiFvmaxjPN22hnvB5OPOPzNM5pfkb74/Vw4hyf +p/FP8zDaJa+HE//4PI2Lmm/RXnk9nLjI52m81LyKdszr4cRLPk/jqOZPtG9e +DyeO8nkaXzVPot3zejjxlc/TuKv5EP2B18OJu3yexmPNe+gnvB5OPObzNE5r +fkP/4fVw4jSfp/Fb8xj6Fa+HE7/5PI3rmq/Q/3g9nDiv8yDQi/86rwG9+K/z +FNCL/zrvAL34r/MI0Iv/Oi8AvfiveT7oxX/N20Ev/mseDnrxX/Nq0Iv/mieD +XvzXvBf04r/msaDG/5LyDC+f8PIGLz/w8gBvvPfGdW/89sZpbzz2xl1vfNVx +lPUPfPQ4yHiJ3x4HeR3xwuNg2cRLHszLPB2demZPUkaSz8GHp2/vvizt/eiL +35b8clvKIJeDtAdtH8QljVtwvo/HQdqVtjPimMY5OPmDx0Hap7ZX4p7GRTh5 +hcdB2rm2e+KkxlE4+YbHQfqL9h/iqsZdOHmIx0H6nfZD4rDGaTj5icdB+q/2 +Z+K2xnU4eYvHQeKAxgXivI4DcPIZj4PEE40vjAs6bsDJczwOEpc0TjGO6DgD +J//xOEh803jHuKPjEpy8yOMgcVLjJuOUjmNw8iWPg8RVnccwrum4Bydv8zio +8Qyu8yGPg6+3+Cgam7QkWn/o4hubZyx0OahxDq7zJ4+DDc5dlpOX+UWUd2+T +povSPnc5qPEPrvMtj4Mfr29e9rm8LdEjlV/qn5Kx2eWgxkW4zs88Dlb+ak31 +hIQd0dEXHs9Ny9vuclDjJVzncx4Ht97ZpV5Kxu5oet5PpzPTdrkc1DgK1/mf +x8FRk39tnZG0L+p8/7sXJSTsdTmo8RWu80WPh3X4wV8tTMs7EI3KHf92UsoB +l4Mad+E6v/Q4WLr+xCYZSflR4cinaqRkHHI5qPEYrvNRj4Ndip7Zkpl2JHow +umtuWt5hl4Map+E6f/U4mDW1weN5mQXRrB8urJ+R5HNQ4zdc57seB6s/Wv5Y +cfHxqMzsHWsz0467HNS4Dtf5scfBARftejEppShK7TijTV7mCZeDGu/hOp/2 +OLh7xcxSKRmnolWXv7C/uPiky8GLB/S8uFTCgmjq9R8c6Zk3y+WKxHtw4OgX +lmQkrY4aLWzWfm/mCpcrEr/Bs0/8V1FSysbovbn7n0hIWO9yReIxmJl45q28 +zG3R8KxRKSkZW12uSHwFX3jt7TlJKbnR/Tf9sVtG0k6XKxIvwVqFtT5Py/s6 +Shiz7qW8zD0uVyT+gYUPb96bmfZNtPyn7u8mpex3uSLxDNyxr+754uKD0fLk +Ursz0w66XJH4BN6RccHwpJTDUbUj2d3zMvNdrki8Acc03V45JeNolD5+8nfF +xUdcrkj8AE/9PHVaWt6xKPehtJeTUo65XJF4ALb8Z89aGUknorql76mYklHo +ckX6N/hRt0bLMtNORhmZFcal5RW5XJH+CtIfma/C6V/kW3D6C/kQnPZPvgKn +PZNPwGmfjPdw2hvjMZz2w3gJpz0wnsH5fRlv4PxejAdw/Cdew/GTeApn3Z95 +v6K3j4V1BOW6HsHr9P30OpDr9L7088DMCiM/qb5uQdw66fbcV0ZdN3x13Hpo +yuylKz+ZtzFu3fPA8gH9px+LX+ec+IfEsScGxK9jPjb6s3l1L4lfr7zy3MNf +DpzyTdy6ZOHtP/XMTzwUdbG8CGx2+MtfyqUejrIsbwFnjntnRM258euJpR/q +flWbM8eiATbug11K1ZnRp2H8+uDyz0olTxh6Mqpj4yb4lyf3fn98/tSo1yW1 +Z3bLnxGwem7+E+OnLo0+uuXSBrl3Lw/4+vKa+ftf/DJqcXR161+brAv485t/ +ver58dnRocdfXt2sztaAS2/f9kGpJ3ZEk9denTfmixj2GfdcVvPvdkcdblty +Zs9f9gSsU+ri3WMH/ztvfbfdpTcUxvDswh3ppyocjJ4s/leleo1i+OjTMy6s +1DY/Wvfp+qkdhsVw4TUvZNw16Uj0h6feu+2VrTGstL3xtR2PFkRDqj+5dEbV +YwF7Dr1s3qu3F0bfbK3bbH1qDDfdvb/+zPSiqPGQC3YUzY3h+w22d7ni7Kmo +5ul5X2xYfcrl4Irbrv8sv+3pqMGjaxeNGBrDCQ8ufXxEt3eiBp8UXprRaXTg +rIet3T5n88bn5wd8ofdNm3u0/8xd/7+5aY+jZVbH8PY3WlV9YNvn7vr/1CpT +q753JIazO45ouevsZnf9f9SLabMqD4nhFVUOrax7SU70m83PwA62ntRsX4VV +narkBtz8yit7Bk7ZFS21eRWYaOtDFzadvWfWnBgOOVb9hy9r741etPkQuNXW +e1bMf+CH03/6JuC0mzuVLZ/qr/9nvfH80OoFMSy179axNef66//XNG5cqUny +4YCd3v752jZn4tf/S9n6St8zl07t0T+GKx7YMK9Pw4K49f8utl6ya/a+miPX +xLDqz+81mDDUX/+/q9O8JfMrngiYPv/JL7Oy/fX/d674e9OctjHcmXrnI/mJ +p+LW/+c88dTmlm3GhbjscZC4fcGKieP7NDztcrD2YzkX3n/Vp9HMMnNqlnvp +48Bp19rem5fqOb7+QzOjw7ZODOe6M/ftqf3h07NdDo4emFRv4T/XROseeWvD +O4dWB07/0H7zjxtu+3TV6eVhHQfOdQX3pxafG5jlcrBs6yeebrpjU9TkDxt/ +uancpsDpZ9r/7u22bdQLE9eFdRz4F3Zd0Q8n7hjdbb3LwYaXP9Tq2Ze2Rx3/ +Xjpx35XbA6e/aj/uVK1sl0FdYus4cK77JLVSncvX+hz8Kb3wr59duiuqcnhK +7Rtn5wZOv9d4UHXwjP6bvo+t48C57rlNC1q2b7fT5eCig8Ne+21qXpTbsmGL +nnfnBU780Liy80TjsZWHxNZx4Fx3a91WT04/5nPwTzMzvppR9UCU8dnX3Rdv +/iZw4pDGp7fb7p/XqUps3RrOdYcnnnjlxACfg++379phfeqhKOmye1a+evuh +wIlnGuc+3N+wW07b2DoOnOu2DVrbcsJQn4NnL0kuKJp7OBryeYWWM9MPB05c +1Hh54diLvz03KbaOA+e62+8auycr2+fgo2t+633F2aPRgX57dm9YfTRw4qvG +3dRmeS9VL4it48CLe/7PdcNPdH0yP/Goy8GP+36VUK/R8ahJzdk9TlU4Hjhx +WuP3qvNzLmqSHFsXh3Nd4ZTkH8ql+hy89NaJb3YYdiKaeKDv979reyJw4r2O +A9cuSH+3R//YOg6c61LaFr9Sc67PwWe+eabaK1tPRv/6xwOv3DXpZOCMGzqe +DOze7IaRa2LrOHCum11+y8Vtzvhc19s1r9mz9K3x/TotLpGD5DWa7xyeXzqh +1SNflMhB8h3Ngzq92rDOgX5bosElcJA8SPOjwpvvqdNgS8kcJD/SvGnW23ta +Duqyu0QOkjdpPtX5575Pbvp+b/RCCRwkn9I8663aFRqPXFMyB8mzNP86eWT3 +5vkV80vkIPmX5mUtJnzYPqftkRI5SF6m+drsVn2PnptUMgfJ1zSPK3fBA72r +F5TMQfI4ze+6L6qU0CS5qEQOkt9p3vf53w6N6tG/ZA5m2zw840j9RtOuS4/A +ZlOGZb+f/1TcegG46MqMC/u0Hx0wgzqh0YNXZGWfDjw1Pbl79YLY/F/5R4uO +3zphaIzzfvo5ep2uJ+j96ueBrB/UePj7V2pt+jQg6wdDf67T+5YKnwdk/eDX +Tc/NWlZrc0DWD5Zt2VE0a04MWT/od9cLZb/9066ArB/UmXrZdQ22xJD1g/TX +c6s3SY4h6wc768+c06N/DFk/qHuyd72Ra2IY6rym3fv5/IoFAVk/+O7RK/6c +0zaGrB88VOHA3nOTYniHrR/Mzpr/dPWCGOZbvv7j4Xt+vWXkZJeDXydetWB+ +xdNRd1uX9zjIvDluPi3zZ5DfUdeHdF4B8vvqupHOB0B+d11P0jwepD3oOpPm +3yDtRNefNG8GaT+6LqX5Lki70vUqzVNB2puuY2l+CdIOdX1L80KQ9qnrXprP +gbRbXQ/TPAykPes6meZPIOtkun6meU/IfyxOaPw4YO3ntr1rj8w/scTl4FV3 +dl9Rdvqi6K5/PTw7t3Kmy0HikMYn2uGb0TWznq72pcvB0kVFb79zdm1UqVX3 +Yb/WWutykDin8Y/2XPaKx/acb5TtcvDvK2764qZqW6I3rp2y9K1HvnI5SBzV ++Eq/iJ5PKbuu9g6Xg+nNav/ScUpO9OpPRT9efk+Oy0HitMZv+tf5PUevvXzt +bpeD9RZsuXJW7d1Ro64jL++wZZfLQcYBHR/op4vufb1B+3b7XA5+m/js7ac/ +3xv9tOGmP87ostflIOOMjj/09yU7x9zS5ozPwZ2rXk+qPvdA1H78od/37X/A +5QFtHNPxjbiROPKJzD4N810O1u3zyMeNzxyKljz08fwJaw65PKCNkzp+En/6 +NKp134ShR1wOjr3l+kY9Gh6JEku/+qeVFX0OMg7r+Ewc2/n9L9lZ2T4Hv9v3 +7cYRQwuiPpmt1ue39XlAG+d1/Cce1v5wU8f8xEKXgw9lrPzL/Ozj0bZnrnm0 +/OTjLg9oeYTmF8TVMY9POF4utcjl4EdNRx/enlgU3X5t0cGaBSdcDpKnaP5C +vnHysqf71px7yuVg+fMdnz/X9VQ0Kmfpc22SfQ7es+7hysd/nhcNbJ1cOPzA +HJeDA8Z8NvrNQR9H7Td/OWPFZZ8GfGBw6/SW3VZFcze+mfdUg5UuBxeOf+fn +3UdWRx/cVePC5+etCZjVduTc/cM2RFsyS01runq9y8Gaf9t6298qbIqqX9S+ +/gXbYnj12NSe9dtti264v8YzRd9vdTn48OQhC16usj1qfnLDZxsHxHDX+eLh +rx3bGR2Yt2zwnUN2uhy8uNwNG9fNyY3KtPtrdqVLdgX8R/dJ0zcO+DqaeGX7 +SS9X+drl4Maeq/IvvycvWpNV5njHKTFs+dXdyytd8k3U9uUfM9fN2e9ycOju +Tr+23/JNtLJSm1I5iQcClru66Jn52QejN35Iear85IMuB6dNHfhGm+RD0TXr +rx19rmsMu2cvPbc98XB07MPEszUL8l0O/ta2ZWLf/oejAS+dqlZ9bgxXDh7x ++rmuR6P7Oha81ib5qMvBzhddPXPCmqPRnuQVHzY+E8Ma9R+7ovrcY9H0yzMv +7dv/mMvBZSuO115Z8Xh015E36vZoGMNXim6c3PhMYXTBF6+/P2FNocvBq19Y +nJXf9kT03vgOq0cMjeHeqWf/2KPhyeiJ/o/cvLLiSZeDL944rEX5ySejbx+6 +pdX87BiuOVvlYLvcGdEFL5/N/HHZ1MC3TCq1q3Xd5dG3Xb9dfe2HSwPvPHVZ +jaWN1kU9S9epfH36l4EX1T9/86zaW6NjOWnNFk7MDnz2tHH3nv58R7Tg4bYN +Z3TZEXj3CvU61m+3J3p22Xftir7fHfjve+f0ee3YvuiPSW/1unPIvsBPpy1u +1qPhwah306seWFnxYOAtrh+2Y8TQ/Cj758Pb8tvmB/5R7qNd52cfiWr989PO +5ScfCbz8G0mnticei0Z1G3SiZkFB4D2iHwac61oYHa/SJr1NcmHga35YXa76 +3KKo2eZrL+zbvyjwt2sU/jnv5vTo3lO//fnUwOEBV4/8S4eKg4bH7R/4/NbO +KfP/Pf9vVmZ50/KTTweeO+3d7ecmxZ4bwXk//RzeTz9H3xfU9wVZz9gq6xy6 +TgHynIc8H/6u7R9h3wIc5Hp4T8t/uR4Ocj28ku074Xo4yPXwRbYeyPVwkOvh +j9v+Ka6HF///f98EHc7feR+9Hh2+3fZH8T5wMOzbMP6BPQfgejjI9fC+ti+G +6+Eg18MftLyJ6+Eg18Or2X4aroeDXA8vsnU5roeDXA/Psn1MXA8HuR7OPkPd +30L7Uk67QNd2gq7tAV1/X3T9fcM6ivyO6Pp7oevvgq7+o6vP6Oonuvqm+3/o +x6rjh3L8QFd/0NUfdPUHXf1BV3/Q1R909Qdd/UFXf3QfFP6oTvtSHT+U4we6 ++oOu/qCrP+jqD7r6g67+oKs/6OqP7gfDH9XxR3Xiuur4oRw/0NWfUFcu/qCr +P+jqD7r6g67+oKs/ui8Of1THH9XxR3Xilur4pByf0NW3cK6J+IauvqGrb+jq +G7r6hq6+6b5BfFMd31THN9XxTXXimer4pByfwnqx+IauvqGrb+jqG7r6hq6+ +aV03vqmOb6rjm+r4pjq+qU6cU532qDr+Kce/UEcjfoY6RvETXf0M5zOIn+jq +p9a946fq+Kk6fqqOn6rjp+r4qTp+qk47VR3/lOMTuvoWzhkS39DVN92vi2+q +45vq+KY6vqmOb6rjm+r4pjq+qU57VB0/lOMHuvqj5x3gj+r4ozr+qI4/quOP +6vijOv6ojj+q44/qtC/V8UM5/uj+bfxRHX9Uxx/V8Ud1/FEdf1THH9XxR3X8 +UR1/VCeeqY4/ep4F/qiOP6rjj+r4ozr+qI4/quOP6vijOv6ojj+q44/qxC3V +8U3rJvBNdXxTHd9UxzfV8U11fFMd31THN9XxTXV8Ux3fVMc31Ylnnm/sM9b1 +n0lWd6TrPHtt34Gu59xt9Uo6H19q61k63+xj+1d0PtXZWW8pbb+/5m/32/1r +vjHY7l/zjbV2/5pvVLD7j5sv2P3DaYda34hPDa0uS9crBlrdlvpTw/YDqj9Z +Vm+p/sxy1ivS7T7Unwftd1V/ku0+1Z9t9vxe/Xne7l/9+Z3dv46bC+3+dVzQ +ek7anZ5Dgh9lbZ+j+pNrdaTqTw1nveJb+zz1Z5V9nvozxn4/9aeL7TNQf5Kt +/k79SbD7V3+22f2rP4usPhXEH92vTvsaZnV9IH60svpY9WeTs16x0D5P/Zlo +n6f+vG6fp/48a3FB/ZltdYjqT7rtP1V/Uuz+1Z/eVncL4o+eA4M/91l9I8j3 +HuasS/Sy91UfHrP3VR8a2/uqDzfb/gz14XLr/+rDT7Z/Vn04YPXJ6sPtVjcM +4oOeV4MPxW/9Tz0nSPwusP0cIH7c56w/1LTPU38q2+epP7/Y56k/h+3z1J/N +Vn+q/iy0/q/+TLS6a/XnhNVDg/ij5+3gzzKrawXxZ4btOwGJ329YPSyIH8fs +89Qf6h/Un8X2eerPVPs89We4fZ7608v2O6s/jzGeiD85dn8g/jSzegkw+GP1 +vSD+6D4Z/NHzNIjfWtcWxn2bv3eW9YOmdh/q21K7D/WtFuceiW/T7T7Ut6vs +PuLWA61+Xn2rbXXtIL7NtPsD8a2q1T+D+Kb7fPBNzwPBN63vI65rnT5+Lrd5 +/XJZT0i2+wbxL9HuT9cTEqjjFt9e5DxN8e2Y3Yf69pbV8YP4doHVv4D41s/u +A8Q33aeEb3qeCb5pnSO+6bkE+FbN5vvVZD1htN03SHssbfcN4sd2zmXR9VL7 +PPXnpJ1PAOJPV6urAfFnp9XJg/ij+6nwR89dwR+t68QfPW8Bf9Jtvp8u6wlF +dt8g/mh9EO1rh903iB8fcE6M+NPCzl0A8Wel1f+A+FPHzgsA8Uf3feGPng+D +P1rHij96jgT+5No8P1fWE5rbfYP4k2X3DeLPHXbfID7MsXMjQHy4xuqRwDD/ +tfMRQHzQfWj4oOfV4IPW5+KDnoOBD3Vt3l5X1g1m232D+FDd7hsMebjdN0hc +L2P3DeKP1k3gj9bz4g/nSoL4k2r75MCw7mTn6YD408LqTkD8WWntGMSfMTYP +HyPrA2XsvkH8Sbf7BvHnpN03iD9d7b5B4vdOu++dci4Qz+vh9L8bbZ6uz/Gv +k+t4nZ5nwt+99Ye9Nr+G8z6crwnn9xpi81Bdl3jS5mVx+09E53Wf2HwE5O9P +yfX87vPtOt2vMsLmQXBed6vl/yD6bcZBXtdLPo/r9Xk0f8+2PBkMz8Xs3BaQ +9sl+cTjXe89t3xTO63pbngmi77T8FqT9s18czvX63JP238Wug/M6PdcIXc8t +4n7ZLw7nen0+SP+qZnkgPORLlk/C6XdlLC+C87pcG/dB+mOh5Su6P+eU6Lzf +KhunQf5eJNfTr5fbdbqfZ7eNr3BeN8vGPxD9I+Mgr2sun8f1+lyAv6fb+AGi +/8PiOEh+FM5BN871un7O35tbnAXRX7L4CBJ/GOfgXO+tM+t5mMQnrTehn7L/ +ROOM1onQ77Q/0y+0zoJ2q3UQtGudf4V8VeYXtE/Nn/kdec6l7VDzSX4X/b3x +U/MK/Nbz6/CZOkY9d47zr1TXc0fx+WtbT9P9ig/bOhKIbymyvgFOE39B5pW1 +1GeLR7oPkPmm6kU2PwLRmWeB/F7Ms3TfIPMLMOz3sPmF7hskrwZpz4z7uv7f +wfzXcXaf9QcdZ484OvvWVJ8vOv2gnq2j6jg7QdbTQfqd6u3s99b+9bKtN+o+ +0mm2zqk6/VT187Zep3qx6PTffFvH0/XYbbIeG56P2DokHAznYos+xdbBVM+x +/OBxGVc/sOt1nSqdc1tlvWUW56LKessoiy86ro1xdPYbqL5SdOJKZ5vP67g2 +QNYpQOKY6rOt3Wu8SrZ5r+5r7W7zVdWJe6qPtvmh6hmiEw9L27xR8+pWNj9U +nfFP9S4271L9JRt3NT/Xc7fo37pflPai51bRTnUdL+RHsk5FO/L2seh+DO5X +z3ciTnxl/eUrGT+ft/4C0v+q2ro0iH6lcZDve9LWb0H0JbZOC9JO+1l76Cfj +oc73+f2vs/ktiK7zX3wob/NAMOQvNt8D+X15ngvHt+ud/IQ8RsdNPZcJnz+z +50Q6T9HnU/jciXOOJE62d/THRedz9PkOv8sd9jxC496v9txB9Srye9OeeR6g +zzs4P0jjpOZVtIeqTh5FvqXjcoKtG4IhPtk6mubbel497WeNrR9p/Mly9FWi +8zl6rg7tjfUajTOsy6heQ9ox7YpzazSv4JwazRNulHYLvirX0044h0bzAa2b +Rj9i47LmCYyz2j6PWl5+VPJz5rHa3t6y5zUg+gjjYBhvJW6G9VLJ82gPrNvq +eHqNtEMwWa7nd2d9M27clPVSdMYvHU91ngbqeh3tgvMItP18betTIHqucZB2 +9KM93wfRzxgH6d8fOnn+VokDIM+JrpLxjudQmufzHATk91xm498yGQcz7LkC +iK7PHfhe9S1Phof8zZkvjJJ4xfuTX8EZN+LOoWV9Rs595fPvlvuhPz1gz8cf +kOfkqfK5Yd+XrXeDvE+B9FOuLyvtkPvMkt+F/jvDzpMCaZ+pdt4QGPaL2nlw +IPGmjJ0DofHnprVX5g+cEos/9PfmD91336AuMaT/5VgdvPbHGVtrb8rKjn0v +2v+d7zx4vnHyqYD8Xgvm9W3x7fl5ceulPVfUzymzOoa059/ZeSk63nVs33l/ +Vnb8etfJa/pc2iT5aMCw3jvphh8uGvRxQN6vn52zAIbxNLViYpPkQwG5z+Xj +Xy8632hd3LjQ0c6RAfldbrPz9rQ9J1y5fkdWdnyczLLzU0B+n4Tcnu0GdYkh +7WSDnVem87i0Px3PHjglFufDvrs9+8s0SS4MSLvqa+dfaf7/4Kj3V2dlx+Kd +rr9rXZxy8nStA2O+qvVPjGda98O4pfUurI9qPQf77LVegbxe992T1+u+cuZR +up9a98nCdX0Ojm+tbf0CxA/l+IGu/qCrP+jqD7r6g67+oKs/6OoPuvqDrv6g +w3negg4nro+z/gbip+r4pByf0NU3dPUNXX1DV9/Q1Td09Q1dfUNX39DVN3T1 +Tdd18a2k//8VxCfl+ISuvqGrb+jqG7r6hq6+oatv6OobuvqGrr7p/2eEb6rj +m+r0Y9XxTzn+oauf6OonuvqJrn6iq5/o6ie6+omufqKrn4ttfALxU3X8VB0/ +Vad/q45/yvEPXf1EVz/R1U909RNd/URXP9HVT3T1s6ON6yB6gn0fEJ/1enS9 +Hv/1enS9nt9Fr0fX6/m99Hp0vZ7+odej6/X8nlynvy+61gUmyHX8zlyv64Jc +r+2B63W9kOu1nXC9Pp/kem0/XK/PG7le2xXX6/NDrtf2xvW6D4LrtR3qfNI7 +b0LPKfDq8726dK8e26s31rpE5V4dnld/5tVdefVGXj2NnqNR0rkbeo6Dd36B +V7fv1at79dhevbHWJSr36vO8ujSvHsurN9LzREo6f0TPufDOd/DONfDq+b16 +da8e26sr1npF5V7dnlev5tVj6bkqJZ3DoueAeOdfeOc+eOcdePX8Xr26V3dd +0vM5/FPu1Tt6dX5eHZueO1PSOTV6fop3boh3XoZ3ToR3DoJX5+/Vq3v12CU9 +p8Q/5V59pFf/p+fylHSOj54745234p0z4p2v4Z0f4Z2P4NX5e3XsXv12Sc9r +8U+5Vzep5xZ55/J459F457B4549452t450d45yB4df5efbtX113Sc2h8Uk59 +pNZNUv+ndYHUvWk9HP/fIjqc/z8RHU5di9a7ULeh9RzUJWi9AvvxdZ8++9B1 +fzr7snW/NvuRdZ/yOnu+yvoMnOeoraX+j+efraXujeearaUOjP+HBB3O/6eN +Due5Ijqc54HocJ7zocPZZ91a9l/z/xCyrqL/LyG6/r+E6HD+/0B0/f8E0fX/ +E0TX/08QHX7anqujw9kHx/oGnOdj6HD2wYXzo42zDw4dTv0B8304+/HR4exD +D+sJxtmnzzwXzn4KdHiqM8+d7cxPr3PmoZud+eZwZ155v8U31TvL/BG+XOaJ +8GoyH4Sny7wPnivzO3hdmcfB2c/OPA4+RuZx8P5Sjw1+J3XIXv2tV4/q1WFq +fZdynh9qPRP7DLSOh30rWr/CPgCt56BeQesYVkt9tVdX7NXZevWlWn+lnHoj +rUNiP4TW37DvRutR+lvcCvMv44Ol/hmM5DmnVwerdVDKqfvReiD2W2h9DPUf +Whdyk9Qhg/lSf6t1I8o3SV1u2C/i1H8w/uu5HV49iXde5A6rD9HnO1ofAr5m ++4L1+QX7uL3nRFwHZ1zSdWbiter8v7nKGa/Q4exD0fXVHbb/QDn7wXW97gnZ +1xn2Kdn+Bo2rWucA6v5xkDoGrW/Q+gc9l0r3/f1v6x90P7ruE9R961rPoPwj +p75B6yK8OgetZ1BOHYPWN2g9g9YnKNf98iDtVusSmI9oe2Y/n3LmKdovaM/K +aW+0QzjtivYHb+qM47Qr5Xoen9YtKNdz5bSeQbnuM9V6BuX4r3UM5GVax8D/ +I69xgHmJ8o42rml/7+Do/D+Nyq8SHf6bjS8aH4psH6vypbaPFR2u+xd1n6ty +3aeo+1+V/6f7FHWf7HWyT1b3z3r7EfOsPoR+BKd/oMPpB/Qjjfv0FzjxHB1O +v+E6OP+fOrr+/+rocPoZvzucfdno8L6iw9mvHdqV/P/C6HD6K+0ETh0eOnym +1QmgwzmfAB3eRfJ8OP0eHd7c6ltCXmqcfh/yWOP0b+IDvIa1S+IAnLiNrvsf +H5T53t+lX8DZ56j1yuVFLy/1UmFfm3HqdLV+9zvL79DhxCf6BVzr5OCtRIfr +PnLdT6Rx73EnjrEOoXGJ/dY6Xuh+a32O5K1Lx+WlTjzRfcngf1qHlmT1Ezr+ +3uzoey3e6Pg73cnT/tO6Mq9OzKsH03oCOPUEWmewwc7z4vvDqcPT+jzyE91P +epHt/8YXeEXR4eQt6PC2Vt+Fj3DqFdDhxHX1n3ar7fh2yVvgJ6VuD07dntbz +Ec90/+x2yavhWlcQ0OqXtJ6PugGtJ/DqDVjP03oC+ov2H+qEtH6ogvxecFB9 +ZjzU8ZL9+hpPCiT/hDO+EUfgo238RIePFB3OuMfvC2f/fUn1TKDuyw/z9f/j +vnwdZ3Q/vrdfX/flg2Ukv4Wz/qd1V7rv/mvZd6/78fOd+TX78WkH8BG2Hqjj +RbKta+l4UdPRZznxc5szvnj79ZfJvBWu+/EzZD++7tPf6dQ/zHPqZ7y6mi7S +T+H1bB2I37WenBODDh/p+Mx8Tf306je8Oo27bN+/9nevDqGb7PsHdR8/eEba +D1z394dz3m0fd9jXZ3yj7edWH56z/dzqA/u4dX+37ucGdT83yL543S9/S9Me +R8usjvUTeJbtg1c/2S+v++h1Hzyo++BBrRMAK1k9gPYXrQcAn7d6Au4Pzn5/ +Xg+nbkDrCW62egmN/x9YfUaY7xhvYfUT/E5wraMAtY4CpM5D6z+oq9B6i+P3 +pxafG5gVF9+oC9F6EeoMtP6g0Obf+A7vYvm2vj95snLyZHT4B3burbafxnbe +q+rML5Uvt/4VdOPV7Jw4dPghW4/Vfc78f7CqM39VzvwSHU5ehA4nz0GHN7O8 +XdsV68OqU08V1w4t31bO+XzocM6fQ4dz7ho6fL2tb2tcut7yLNXLW36lOvWQ +qpO3KCdvCevMxslb0OHkG+jwsTZv0vi5xuYHqu+2eZDqf7b8XfXDVvelOuf2 +Kee8upAfGOecNnQ455ahw8vIedNggZzvGeKxnEMd1hvk/GUwW84D9c67BIfJ +edZgXTnHOeQpcn4xuEjOG/XO0/TOhQTXyTnaoZ5Nzo8O8ww5Nxn8m5wXDE6R +80+98z1LOofiUjnXG+wt51mDteUcZ3CWnF8MXib1iOAwOafVO4fUO2ezpPMv +3pRzyb3zuMM+KzmHGuwn5y+D5+Q8YvBTOYcX7Cnnz3rnq3rnh3rnZpZ0Toee +M+6drw02l3OlvXOWvfOFwfZyrq53bqx3Lqp3Hqh3DmZJ54ZUl/P4wAXWbhmv +4aCOd7/Y767jyFTzQePwKGdfB+excR2c88z0nDPv/DLvXBXv3JPXrD2TF8Gn +2/3zPeF32P4I7hNe19ob8Rfe3T6X+4M/6Dz/oo5Vz+Og/jTk33L+QNj/JvWn +6Hqez8UyXnHf6Foni651suhaj4yu9f7oIQ7IcxP9vuj6fdH1+4Z9bjxvlP1s ++r3Q9XuFPFm+F7p+L3St20WH95Tnp3C+B7p+r7D+aJz7HSfjNvcb5oFy/yEP +l/tH1/tHh/P55M/hfGTZ56afix53Djl5uHwuOpzXVZbxk9eh6/uE/FnO8Vss +4xJ/R9dzkLSfcv6Z6tSje/1a9VBXLjq/v+ph3VY4fofnIuI/uvqGrj50dMYr +rg/nT5kPmt/ig+r4oDo+qI4PcfmzfT/leq6Dft/wvE++bzgHQs6f0bya+1c9 +nGMvOvevusYnPRdIOd8jnD8q3yvsZ5DvFfatSfzR/Jz7j8v/mQeKrnFI26Hy +cL4B5xvJfaLDuR/Nz7kf1TUOhXUUzk8Qzvto/qDnNKiueQXnVxAn9BwY4r+e +m9Fa+g2v1/UWXqec142TfsbvPU7aL++v6yr0X9X5HOVhn6n0Yz6nl/QPftde +0u64H80nuR/V6Y+q8/nKwz5Q6Zd8fmVp77SPytLuuE/Nb7lP1blP1el3qnNf +ysP/9yH9j/taLP2AdrpY2nU4503y8PD/eYnO/asezlcRnX6q+nbJ5/V36Sjx +j+/XUeIK36+j9G++X0fpr/TLjtJfNd/VfqdxuJWzDkM/UF3zY7CV5Jfgu856 +C++vup6vo/1I414ryV/BdyUvBHs66yrcj+o67nrjlvYjjautJJ8G35U8Fewp +eSSo5zyB3L/qmh944yuo505p/9JxoZXMB8B3Jc/WeZDqlSSvBRc56yp837h1 +Esl7vLzBG6fDcysZz7V/xZ1PKvMfza9U7yl5v+YDqi+SfF3nKarjj+qa/3n5 +k5eveHmGzl9U13mGcn2+g5+aJ+Cbjo/4oxw/dTzCH+W8TuO85gV6Dr/qXO+9 +Pm4fi4wP2g91PFCu40JJPG6fqdOe+X30HOzWwsP+Hps36fdUHvbrON/bi+d6 +jhu/7zjh/I69ZN2B34F2Aud3DPud5LzKxbJOwfdZLPO28JzZfNDvp+ObF3e9 +OFRSP9PruF+dX/83hslglA== + "], {{ + {RGBColor[0.880722, 0.611041, 0.142051], EdgeForm[None], Specularity[ + GrayLevel[1], 3], + StyleBox[GraphicsGroup3DBox[ + TagBox[{Polygon3DBox[CompressedData[" +1:eJw1m3f8V9Mfx++9n3vPvV+rKJIRhaw0FLJKlCglkSQze8/ITEaysncie2Q1 +7ZFIKDOjUsooZFVSRn7Pl9f5/XEe79d933PPvffcc977Nh1wWu9TsyRJ8iJJ +atAB0O+hzaBrhCR5mZOvgP+ukmRmniSdoO9w/GmaJG9Dp9DuAv8B/Yi+H9I+ +5/hFjl+APg/9BN62DD6T47fUDzoZOg3+e7RPOH4a+hTtJfBEzk2AjoeGuiRZ +wn17cN9POd+OcWZzrleZJPWgN0PHwR9Le43jVzieBP0I+hzX3wz+Hfo45x+j +PadnEqVNBtfjHSfpWj0X9ziXe60DfRveFNoH9PmOdhNtY1oL+i1hfraEvsM9 +boT3BHRzjn+Bvxl0N47/AF8C/RW6M2037nMjY7cFz+UdbgBvC54Dvh28E/hb +8B25+38H3onrW4DbcO3l8DcFfwT/Jvgnc99toNdzv9vhD4d+x/P24vxyzp3P +O2yk5+Ha9vTbELwp+HHO/QT+kXZN7vG/iHN6A20D2iyuvZtzTaEJ878AvKfm +n3tcwvl7oH9y/DH8jtBFtAl6H+hy2mTwLtAVtLfAu0Iv4NkOpl3A9X9x/An8 +3aCD4R1CGwz/PGg/2nngPXjmldz+NOg/9PuK/ntA/6C9oTmCXknfI2hX0v83 +jl+GvwP0F9qL4O2gP9NeALeD/kp7Cbw9dCVtHrgzdBltkr4B9Hfa6+AdoRcx +dn/aRYz/K89xMXQe9CF4D9LGcTwfuhfz9yv4R3Bf8L/gRXpfcAb9jfnqDl2m +vQXtA/8f+swE7wL+BvwtuAf4d3ADvlN38Cf078T9/mQeTob+zHFn+i2Ffgbd +gT5z6f8luBP4e/C79PsBuie8nzW38HPoQlpv8J+cW5Px9wB/wDjTad/Cew+6 +Fvw94X8E/oL+O4LncW42uEPN+2Ax8/IK89Meug/H29Ia0g7kvhO0PhmjD3gd +eOdCH6XvvvD/4PrHwL3Ay8GPg/cDrwD3pd96WrPQR+D3hL8Mfk/G2gV8Bvf6 +MfVebkZ7iD7d4C+p+b6N4N0FvUfySWsb/scc3y65UnqdXqK9kHvdDQE3h95X +et19Dd2TNhT+bdxzAu+/AtwaegbHB4PP0nvTN6X9y/FIrt8duoh7PQjeG7wY +/AB4L/Bv4HHgQyVbtTfYR+9BO2g9Mu4/8LeDHs74PcBDuf929JmlcenzMOc2 +5V59ofdq/dJnHmPep3UNng9+Ftwv0Q2S5BnaQcB/4R+q9QM+k3EOYNwGjHM7 +dA3G/5d+feA/BT2QPv/Q/2HOXac1C12XPqvouegzkT5H0KfMvb8PBwfo07S+ +4JVcOx58GLjILfd70BrTBpXG50Hnc+4G+rSDPpxavyyg9QS3o61Le6m0bNa6 +3RW8C/gE6GJafe6zEnoUbav4TZ/TmoGf8pz3wRtB+4IxJ/Hua4MHcv4YyU/w +M9ALNA7n1+V8He/3NLgXz/Mp118P3QB6p9Yr/Mn0mQLuHsfRHD4C/w3498K7 +nvaJZBPXPAf9GP7H4MsYZ13oCMk2+D/wfI9yr+b0P6iwDKmD9xe0M/N8AbyD +Obc713dIjPfjXDfo2dC3Suufn0rLv+H02Vbfmnu8CW1QWoZdD78tdBLHW2q/ +c/5a8InwBwbL4DPBjSTHue8l3HcI54fTzoN/VbDOLGi11DLiNtoWtIsYaxh9 +bqdPf/o3ifruFFpH8KnQsZxbE3wW+GzwIdIt4K7c63LudTn4Vu69BfzPJB8r +r4ku0Hp1WjysRcltvv3hnC+hG2vuoBMZdxnX36E5h/4e97X29zWcH0C7huNu +HE+BLtC8Mda3jL81eDL4a/CW4G2411aF5UlXjt+Ubtecac3wGI3hbw/eBLwh +eIdgndtEuo9+q3Kvz6DbBuvT9eBfR7s0fve9dG/GfB16KO0X8DTocbS1uHaW +9hn0qMz7bWm0H2RHtOLZWhbes43Bq4KPADcB1wcfLX0OXhN8DHhj8FrgY8Gb +gxuDTwY3Alfgw8CbgRuBTwQ3B68LPkm6nfvfRRstvcmz38S77ABdnz6r02cA +fc6mHS8ZwrveQN8GNa99rSetq9VL2yeLwOvTtw3Xti0sJ7cErw8+FXwj1zas +eY9uAH8N+EfB3wK8HvgU8CbgtcEngGcw5m9cUw/8PngZ130AfTzqnVXBb4Dn +aj2BH4w2nmy9LzluzLVzoE+WXsNPQR+LtsEq4P14/o488xbwegfv0y3Bj5Te +149Kj1SWuSs5/2S0DerDvxc8KpdAhIKfAGfgh6ONUUpORNujkiyJ9kYdeHS0 +K+qBn4o2zJrgp6O9tBZ4/2D9tRW8x0rbY49L/gTrmq3h58zlM9J7sh10PX2+ +gtbgPU3rk9mG1Xp+uWaZpPX8IXgU/YZwvmSci8F9uXZwafnXhj5fqj/nzok2 +8EjOXSj5Q+vJN7qTOb4b3o6aU31Pxnq2tOwdA91Z8w6eq7nn+uFRrj7I8dWy +d6Dvco/1tacYqwdj3ga9o7SNulAySnYF/Bvh3wovBS9knK7wm4IbwD8OvA64 +BB+q9c+YL2Tez1M5/oH+Lbl2uuxF6V7w++B/ZH+DN5Peov/r9A/M7Rj5HYw1 +o7JNrH1dwp8I/2X5L5Xtb8mHd2SLgFvpXWRTgluDv4s6tYVkT2X7Rt9rQWV9 +uQ30i8q2/kbQzyv7A5ItzXieJ7nXi7LDKu/JNoz5WWU/QbKojufpS5/FPM8P +lW2L1tBz4R2kb861qzAnK2RXwV8N/Bd4f/Ba4BrX9QOvCc7AB4FXBf9Jn97g +DLxIdgx4dfDf4APA9cEp/fuCC/Av8PcB18A/yQ7TmgT/DO6uualsE7SBNoRf +cG1/8BWS7bQreM6Fle2VltCfop3RVnNO/6Wy/8AV+HfZjnpO3v0wrl3CWHXw +l8uO1LyBG8I7XjK+sq2pvdyU+XyC/s9zr6ugR9KuAren/570P5c+29BnqvxV ++C3B74I/BrcCTwfPkF6m/5mMOY/77wDuzLX78l1ay3aWLqDPTvC7wR+kZ6bf +ZK2rwnbLtZz/QXZxab9rKnQ12RDaN3oO8Ems+TXg7804r+XG3cDTJY9lv3Cv +t+j/PtePLW0/va39Be9W2qMct5G9C/4CvDPX9mTs83iereC/Dv9d+HMq26yb +QmdHG6WZZK/kida5/IjKNvQm0JmVfdGNofMq29ybQ7+pbMdLRs2vbK9Lls6t +bPtuBv2qsk3cHNqgzrGFg8EdwK/m1h0dwdO018C7gWfr2cDfV7ZrW0lH8Gwv +Zdbru9JnMPxF8gnAZ4C/kt4GB8Y/hP5v6vn0bKXl9PbM7deMcT94B/A34O3p +/71sdPpeSb8jUtveV+lZ6DO1Zv/+IK0F6O812+fbFrZl9gFfBh2b286pac/w +jCvks0Y7W/b2/tBMa4iWpL7PkbT+8XqNcyl0mOQKeAr3uYjjXcEXFrYNdf9Z +8LeIMQfFHvqnthNlLw6UjaJz0IdzP6eeV/adzi9ULCCxHyEf5urcslcyeEnq ++Mxmso/pvxH0AOh70K601WVT8w5nRd/qodL+nny6tql9rsmKbaS+tiW4P9dX +4I6KtxT2AXsUjsXIvnxVNnhu++EE6X7alroe3lhwU/mRmoPUWHPxc+pY0Ca0 +i+P8aJ6WJvYF5ed8WNo3e1lznnuOj5UPw/EJ4NVK++Gyzbam3cG6uUr+oPQS +bYDkBHQo1zaSnc/8BHidaTntM8bqAv0F2p5xhoH3op1emO5eWNc149oPuLYu +dX/Z1tfBbwp9H3674G/6B/QZzu8o+0t+IGMOle8je7ow1RwqhnM29GroRbID +pIuD40x9wBtDO3Ht8NS+VM/Mdqb8LsUcaorFFf6W+qbDEvtl4zVnwb5Gffi9 +S9sBsgf0bPtwXUXbm+PduH5VrW3oFbILuPZ13uU4eMfHd9T5E1PP6Q2a89Rz +Wxf7lNGPuJoxXoNepXejb1PJl9y4A7wrZUeD32T8o7nmmNRr5bzC62uQfOHC +3+Uk6M6Z7Qr5S/LL9R3lm98kOQT9hHHap/ZZ9qd/2+BxlslfyS17dyns9+he +8n1kyzeE/xLXXlzZl5RP+TDtjsQxt4/ocxp4ndy+xaWyJ6EnF/ZPD1b8hONz +5UfIL6adA94A+m5uu7oedAbtLPkd8kNpZ8ungH5GGyi7OrdvpjmWnDwxPuuu +0N1595Hg7WjXFZ77Vrnl32WyaaEf0E4BN4S+r+cDN9D9C/t2/bS2gudfuuZD +zp0KXhv6Du046SboVNqxsvmhb9OO0Z7K7RNqTUluf8nxBdqTuf1WrR35g/uU +3h+d6hyz1RyO47rnZHeA/2KeF4NvBreH3kafO8Hj6bOS41Hgzrpv3FNaU7Lj +7oO/h56x8LffCfq87B34fzPmbqn97r8Tx7Q1T0cWlpmS2/JTp9D/aK1f6IWV +YzXnBNuMeoZdc/vZR4LroA8Fx1pb8IyvMtY2jHmI7DF426e2XxW7kGzqUDqW +oVic5FnzzLa04hq/R7mptXgM1++k84XnTGPqHpvQ//zU57pkjtHpmu94jivk +C+ReD9I5kqX70d6A/0Rh+/dqcGu9H8cb0mdazfaH7JCJpW3Ya+jTRroR3vq0 +Z2MsSLJEsbjTCsvLlrltDtke40r7/tJfhzEfC+lzKfyRkoWKTYI7pfbPLtLa +yB1HaUV7WHsmc+5AOkRxH8V/PoK/MfxBqffrpML9Dyscq9bzKXazh3zoNB7T +Wut5EscfFYfU+6+ZOb/QhtYic7xaa+H00jqhXZ1jA5fLz5JtTZ9zOH8357pm +9tk7Rrks+awYuuKuX4Hfhc7RWtH3gf6c+HnlA+s5908dV9+0sIxWTuDcwnJ6 +umx8rukC/hV8Umq5rP0jP3IP3afmfIbyGrIzpV/WAI+C3lI6xqJYy2j6d6b/ +LzXPU704t5K1x0V5q3iJrr0N/iqp9fKV4CsY5zDwZZqP0rJb67mnbFNw99I6 +SNfcV3jMuijnl2kPQPfKHYNZJY4pe0r32VmyJ7V8lv68TfY4/M9r1rOyf4ZB +x0QdLV09JLWNlEUZfHSUw49x77Wge0MfgM6n/0zZRlyzKvQtzZVsTPAMxaah +86Q7Et9bentQ4niqnnGb3OMXUafcInsW+mnNcWCtEeUa2he2GXbWN4d+LRmo +/V3YhnpIMY7g55fNoJiu7tNE6522Gvhtxhws21j+QvSlnoLfM/ca6R3XidaP +1k6TxDkj2Wy9gnNgWoOKEcvH6Jg5pnpUcMxcvlKH1Had7DvFTiVjTiwdT1qs +901sQ8lulM10YFzTWs/KRem8clOyJVsnjkHuGxz31jhb89wX5/bH+xTuKxk1 +LsohybC7cl87m/ftFHyfJbHJzhGvBeNcmztGJFmnZxsBvTN3bH8B1/aL47WM +3/Cb+B2F9V0/17ykjhtDkoGp5a3k7rlRZmgu9b2+1TdNfE+948ya51z7s34c +Z9/U8We9n+b+vZrHkvyuR7ug8jxoPhRfUv6lTeHcleT3Mo7vLf0NlJd5oDBv +m8I5P+X+Opa2WYUlKw8pLRNkeyyOc79NfGY974zE/vqT0B65/fgnwN1zx8wm +gY8Ejy4s6w4vHKt7Hf4RueOFr0omy47I/0sJJBPkpwbLSPmnUwuvo17Q1WSL +wT889zxrjj9LHEd8H3pK7hjeh+DTwLPis86Ic/xV3Bc78F4TtT+gD0rugz+O ++0Z9dJ3ifB9AT839bXW/2bSNC8v+JwvHOKeAj84dp5wOPjl3/HIa+CTwJbS1 +wBNr/ob6lloPZ9An03ovvEZ6xe87hP4NoM/TfyxtTfAm2r+F8fia9+L+Ub8o +7sV0JS/AH5j/F5ZOnqtZl8ink92s+NM70ONyxx7eBR8vG0+58sQxzN48zP30 +n5M4RvWS9lnueO1U8LG547hvg4/JHZuQDSt5Nyj/L7yYvMJ969HnLfBR8OYE +6zf59b0Y/yH6fpk4v6s9Lb94r8K6oAu0jj53SnfTmgfrIPkOFzDWKuDJjP9m +Yft2n8L2vXRBJ9nm+X9p32SS4gfBMl8xkzUy5/qld0dHPax9dVThvHHvwvGk +0VrzueM0j4O7QffmpW4FP6gJpt+zkN65YwPPg/vmjkuNBR+QO+Y0Brx/7tiV +8iwHyu6r7M+npeOCGnOn3LGrEeAOuePf+hb9wdvRbwPwj9y3Xen1K9w4eA0o +trOh9hL4nZpjCS+C+0lmF7ZPjtD7FV5rsiFnxzWs/aJ8ktaOYhGKjd0L7gQd +E6wTpU8VGxsJ3i13zOweyYfc+QzpaeWnFOt6EH5X6Hl6B/BrNcfDHgDvmTuW +9gL4IPBZues1xim+UdkmqDHOenXe20cqHlPZ5sjhX669ktk/OT33vt5Xc1zz +OGeCvwyWM4rbF5l9Ztl/6wXvu/nQkDmfrLzaRsH+8nfQ9YP32tfQDYJ9qG+C +fahbGXvHOtuzC1PXUUiHyKZV7EB239ep/TQ9o/LnW8W+38X+h5WOVZxROme9 +ADyt8BqWvae6EuXYZPPPgDYJ9lW/VT4nOO7xA7RpcLxlYXDeTutKuZUBud+9 +u+Rf8DpUnkK50FfAh3L+i2CsfMo68N8Tzu1nF3GuPg1eP4pRfxa89xWflP04 +P7UtPjVYzit2/WHlfKTyrbOD5blyIs2C41Hfa+8G+8ULoO8E2xLK78wKluHK ++0wL3lP67jODdYFyPdOD95FyOu8p7pA4r7R5cFzi5+C4z0ZxPmVHyGeR7aDY +z5mp8/qK0z8C3Tt3bF5+3C7g02U3pT53S2E79GaNF2PS/7eRB8Xve3Psc1Ph +/MHAqMeVW5B8vaNwnEmxU+m53WKuTPUBytFIPzcKzkHoOuVrRkS74hvZaKXn +WD6Ocr77gS+MunhC1Md3xHvdrjVT2veRXyNf6/y43h4oLTvPLB2PUXymRZyb +RXF+lBdRDEp5kkOiPzizsC0pv0Nr8bfUMSzd/+PCdSLK6R8an0n5U43zYxxL +NSaLU9t2Hxau6VBMbOtYI6OaGN1PfZUfV25F8lj54p1inFt6ZFT0HRZBt4g1 +LLJjdo35UsXm2mS212Uv/1g4Ni+bv0N8Dj3DZpntHtk38h2fiDL/k2C5rVzk +28EyXzFY+c/yo1U/oxxiO8Z7AjoouE5ANTanBdctqIbkpOBaAtXkdJbiS10j +cUpwPYPqeY4LrlVQPc85lXXU29BbUsetNSeK/72aOhagWg7Z/6qjUM3aUM63 +gF4fnAdX3dH5wfUMqiMaEVwfolqgVyvHblTndg/8wYnrjrbKbJfLJpccUuz0 +L/CFwTUSqnfqUdqne6N03Efxnx2lu+hzd+KchfzXL1OvuYnBOkv5mheDdYdy +LtIJ01J/vx0z1wDI9/ugckxE9Ruq49Be3i93rFV6WbV4NzDOGYnrsp4P1jXK +78xJXeMlPX136lyB9pR8C9VtNI7PNTM+2wvBOkv5o5HBNTPK10vnz4p9LoN/ +VOL6Lvnz8usVF34zWO8r5j8jWGcpT60Yjb7Pd9AuMT4+unT84O/UMamuwb6w +cq/SCfOi3OjG8Z6J9f7ewX60DKXva87nDpHsgt8e/E+wrJ0b5e1ewf7yv8Fx ++r9om9NkNKoOSzHolfF4y7jXQ9RxWwTHdX+B7hKcR/g7ODetdSC9pLq4P1Lr +HcVjVsTx9U5/xvfSPZdH/s7BuYm/oK2CfeSlik0G10gsgW4X7FstD65tkA+u +ugLVGMi/P7p0DYP2rnLcbTPHyNRvSrDvoLzbpZw7NHW9h3z2qan99rfo81ji +nOBDlWNnoXQsZE5cJzsF1xr9Cd06OKb6q3zHYN95sZ6RthX4d8nk4DqlFTqf +uZ5HftT3hWstFbdsEeyz/xacE3gjtU+uOJXiLYqxrB/zWqpBlY0rW1f1Noo/ +PZLaxn+PZ51Lv9UkQ6IvJp+sWfQBNMY9HA+Ehsq5jLNT568Vc2iVOe6g+hI9 +q55zPOfWlTGkPFJcn1qnyiNKhkp+LpCcz7yGpb+kg6SLVlfNQuZ4TMPMcSj5 +DUsUt1HNS2ldp3iTfFfleiVTJE8kU5tklquSZ5L1kmnTueZr8Bo8z7fcr1lm +Hfc5/GNUQ1haxyp2Jh3bK/p3dxXOASq+Jhsv0HdQjK/Jwbkkcw2n/EHtWdXz +rkqfSzPvxf3AC2JOS7FizZPie6ot3F01hND6mf0B6R7Z/3onxdAUZ1P8T3aa +9IbinvKZVdOpmKZ0rOKMspklSxQzV7xIcf2x0jmZYwHjo+6R3lHsflG0I16U +bOX6rPIakN6U/jxQPnzmfTxH/m3m+KFij6vH7zKZ/m+AV1XemXM7ZNaPygFL +d0pvSr+8E2W46kqV71GOR7pReRrZAqfT5yno8/R5gXYf/LrKe6td5v21MOoC +6QTpZOUqukW5K5tGsve/WrfU8ZtzSts9yrMp1yu5L5mvfaBYv+LXyhmp/lP7 +RP6X4qGaQ+Wtd8nsyylvLR0v/a5YjWLHsrWluxTfVFzpfu5xmXI8lWtmJLuP +L+3nyN+ZX/hYfNV1aI+2zrxPv+bcepn7zObccs1b5X2pPae9p3onrX3V/n1F +vwaZ4xWfRptKtpXsu7Uz23jSPz1j3kr5R9XKKl+luN8BmWN/qu1WfFlr6wfG +2jZzDkhyRflXyV3FH/bPHIP4lXPdMufsfi69DlTT9wVtKfz6PPNv4FVYN3+X +jtcp7qec4Wu05vKLqlgzw7XfQmcx1iqZbTzF6pUjk82nmIx0qmLv2g/SxYq5 +3BP3/P/rZCbDmxscX1fOTnNdcJ9zYgy6LXhGjHGrNu9Y6PX6LqX1hvKbqus7 +CnwddEBpfaW8qnzVe1LHUtZmnJsYZ1Rq2atv92fh2irFBVTDthZ9ro85JO0L +zfv3pdeZeB9HuXtvlL2KZ6iGSzWWqvORXa/aJOVtx6Suh2+aeY0qzqjaJFHt +EZ3X3ta+1t5Rjfwtlff6uMgfGb+f7itZqPUtedie5/w8s/+k2OazqW39OfGZ +9DyqlVIcr19p2121+ootaq0pBqL4xai4nhRDlu2smjHljlVnKztScV3VjCmW +e2TpuRwV+6uG89bU8dx6imVnzjueCF6WOeea8V2XQGfTp4J/YeZ8z42la/O7 +4/9eUzhPei20K33mxXyD/KYzUvvJqjE5FXxD4dzrSbG/4vaHp66lVM3/KbFP +f8b5KbMPqvoRrY0r4f9LmwPv/cJ6RPl+1dHtQ/9vMudpVgNfnjk2oFqIofTd +q85+h3yc5YXrULQOh4FX0mZlrhUvufb8zP6S8rnK+Sq/2ye379wVvDp9hma2 +pxqDb89cN6Z8ruorzi9ch6a87h7cdwP6jMxc06aah36xz2nwV8BvlFm2S8+u +KKxvpHekU9egz7DMufmUb/Er+IvC9TvyARXfUKxbtRWqvVUtwSEcD4bm9L9F +9wW/yfNszVgF67MGfzj8+2WTwBuRub5Nck95LNUZDiyciz+ncFxROXrl7GV3 +ySbtUud80IGxz6vB8RzVU6l27Eb5PtDBwTll1QFKdsmW0383NwXnlzeG/4/s +oprjfzcH53mblq6jUG5UdQr3BY+petd9ZJMlrsl5ObjmWfVvtwTnv5qBVzLW +v7T9JEOD6wBVFzSicnxf/4D8xbm/afvSbg3OP27CtfcH521VZ6sg0uM1xz5l +q2ifjoEuLy0XVKOoeh/ldpRzV2xT8bONoE8H53lV86YabMUcVBPYOfgfGdUj +jQquU1Vtz1PS/zXrhqeCc8GqwesS/H+NapxUZ6RaANXH3A3/2sT1osMVk9J9 +wTdVrvuR7d1RNm7i2jzVdeu5NuTb3VW5dlk2/52V80ay22+uXE8ju/eOyrko +2clNeK4HMsu7ayrHrBVjub1yXYJs442UZ81s49xauUZEdv5o+GnNOuzH0rUd +qskfXrn2Qrb3XcF5281L2zDyE1Vvdmdwzrd5af0ov171csqnKz6jWsoT6NMn +8b8w+r9HfpP8pxsr1yHJ77i2ctxc/s71lWtiZKt3CP5XSPVgN1Su1ZD9L59d +Pm5b5uoP6eSa9b3sZPnjqqscFuwLN6bv6cF1BarFPTW4rkD1sUODax4aye4K +rpdYt7S9IV2pPXh5cL3E2qXrklVHoXrgk4NrElRze0VwHcU60nG5ax4ku64J +rk/YAP55wXzV4spmke2ivX+QYmGJ46WPBNcAqI70Uc174prP+aXzyvpn5Nrg +XPCGsseD6wQK6W3wgMT+1PHBNQaqDT4wuOZBNcOSWbINVM/ZN7huQfHb//57 +SSyLdy8dY1Cu9vPoY/xSulZBMn4p9ILgGg/VJ//J+dO5fl3ZgvBPAM+l3x/R +Xlf9rWrolHtUHkT/n8j/uKJw7bZqJRSv0f8pim/oHz7VSyrXLnku+6eKclX1 +evJDVbejvLByx4eC1+G+p0q3Fa7RW5A4L6N8n3JefeJ7qZ6udZ1rDGTrqU5p +QvD/F6rXVd2IxlReegj80+E3BF8UXKOi2mnVXSr3r5jtYp7r6JrtftX4qwZj +68L/8ijup38KG2q90efLwrX2yp22KpwXUD3yVnXO/UkntKxzXk+2xDjoitLx +Mv0vMDr4fxbVwU6pXJOh/+P0n9wt8gehQyrn4RQPv7RyPknxcPmqW2b+j0w5 +EeXlVYsoO0H/9OnfvumpfQDZ/4cE/+ukesgHgmNZqoWWva//JmXzPw7/usS1 +u3dXzrsrBjKtcm2N/p3UP5T306dLbttcMXPltK6snBNSPHxk5f+LFCd5Jvhd +VIv7WPC/J6r17R/8r5Nqdy+vnK9SjP2KynkL5QKGVs4hKV59SeVchXIHz1Wu +SdJ+UY2H3lO5qpcr1zxJH71SuV5K+uVgrumauKb6yOD/yFRXPKZy7Y7kwIDg +f8r07+GDleuKtAf7Bf+HpbrrV4LfXf+YvFi57kr69PXKdUuSmZMq13ZIrr5U +uR5LuvWI4P2oWuvnK9dINYE/sXJNleSJahVkZ74hvReck1Ld8vjKdVSSY+Mq +11FJvr1QuYZMOmhs5ZoqyasJlevDJCdfC84HqU5b/kuPuPevC66r0TP0CP5X +VHW5ae6YqtazYhctM/ss8is7ZK5DLqRnM+vl7sH/nKpGV77q9pnt/6U1rzft +nWGV6y2Ug3gi+D8j1XhfVbnWQfmU/wH/UXg9 + "]], Polygon3DBox[CompressedData[" +1:eJw1nAXY3ETbhXc3m2SLuxSXFve2QIECBYoUd3d3d7fi7u7uVlw/3F0Kxd3d +4b9vTv7rYsiczEQ2yTxyzvN2uk13WnXHTqvVWrjbavFfa66q1ZqC7TGAU3ut +1p5Fq3UuE65rt1pTs12OfScwPh/jRZ9Wa3bmTwYeAT6JsXloK4F/47gv6U/F +eA3em/HDwbOCJwEfAT4BPIh5r3Hetzn/aNqJ4BHgEfTnZ3t2J/fgta9l30D6 +r9B/i/47tKU5x5Gcbw7O1+Z+/i45N+NHMPYl/RXZdw7bycEvcu3VOP4Txn8D +/0k7HXws+Fj6i7C9Cjwp7XLwyuA5OGZyzn8U5z+Za63Dvv0Yn4HtPu3MPYn+ +he0cs46/G/wv/TbbDcHfsO3SKq8Dvp/tE4zPx/Yg8DVs7wTPxHYx8NtsPwF/ +Rlub/t7sm5btXuD9vTf6t9Gfke1Z4OPZHg9ejO0U3C8/t7UH93so93sK40ez +/2jGB/sMwQVtDfrvMu9K+n938lvfAS8EfpP++8z/kHY3L+8mttP5zOgfysk3 +AG9IO4z+fFxjFY77g+O+pr8s7XjwvFy/w7M/lf3j0o5h/kJeh/FzGR/CeB/G +1+ec0zB2E+c6jbHDmHuQz4V9s7Gdhf0/Mn868K301+L3LQW+nuMvZf7BzD+A +eQcwPjPbT8ELMf4d7WzmDGD+dPSPp38689+r81u+95unf2knz9RneavPl2us +y3Y92gH0X2dOH8bmBL9G/0z6uzN/SrZXs+8StlMXOfYW2lfMWZx9K9K/gv6E +XHMvxqfxeYMvoR3G2Dzg3+mvzviF3MtQ7m9snsdM3O+E4EPAxzG2L8fu03xr +07NdmPFZGD+D8XMZv51zXOm1fD70l2ffSYwPZLzkfMPBJ4IHuL7B13O+Lm1N +zvUB+3ejf4bfPcdPwXY2zj8p+49k/okcuxrtAvDi4LE4fhXweeBFwWOAD+D4 +/VwTHN+PbX+On4Dxgxk/lrl/8gw/YP93jL9M/1Dm3wi+FzxrJ89mr+bb9hmt +yTGXcPwwjh+X868KPh+8GHhM8Jqcf0nwdeBLGFsDvAT4WvDFfu+cYzfapZzv +Ym0W+2Zk/GWu8wb9ndnuyvj5jE3GdnqOH4vxAzj+aMaXBg8EXwS+ANzuxQZp +e+7k+Y6iTQSeB7wV/YU53/ngG8AfaVPYdyD4QPrfOZfxXcDngS+iDeP8Azj/ +hZz/fM49DZif1doXfKT2kjYD+CWOe53+dIyPCd6f8aPAC4D7gU8BnwkeDJ4J +fBr4bPB2HLcz1zuXa03I9lee+Tn0x3F9aweZMzHzH9CO0l+G4weBL+b4C12/ +4PnBl4AvAg9h3lYce0o7NuktftN44LnpX0b/HMYnoF0AHsr+n7nGqdpe2guu +Xeac0M6a+JJ+X38j53+GY16lP4DtFoyd1I4PWBb8Hvgb+t/7/rgfprX24X6O +8H4Z34bx09r5pj7knLNrN32+dd79DcxZvfkGDmDfGmz34F6O4fgNGPuKsQ6t +pC3BvoM4fz/O/zf9JbUp4P7gf+ivwPxtmXc65/iZtip4O/AZ9P+gTcv9jcH8 +/Zg/opffMgVzrm/nN43m+pOwbz79Ff2rGWvRVmXfaLpfd3JP3ktB+9o1zHZZ +5j9W51uduMi37De7K/0/Ovl2+9ImAZ/cybd1CW1z+pMXsU0n0vpW8eu7879D +tAXaL9pl7byz05j7LPgV+guznbDIOTxWn7YUxxzC8TNx/L/6dsY/7uRZ/Epb +HfxZJ8/iL9rJ4CfAL9BfkO2CXL8/x5/K8Wdx/ELgmcGng88BX1PkN3jvPpM5 +Ge/L+NGMn8L4X7y3Xzv5lt+jvzZzP6f/N/NbbI9sfKy+9Uj2bULfgObsduy2 +v/U69q3W/OZP6tjeytiB/j+048DHgX+os5an1Ea1s6Y3pf8t+2raGH43RWyo +ttNv7NM6frwPc5ejP3n13+tt7cb9H8z9v1ln7blmftV/MPgS/TeYvyjbI8C3 +sX0QPEcnNkZbcw3tDvr30G72udJ+oj9Yu6AvAX9A2x78M3j8TuySPkY7+o2+ +nP6ijL/ViW36lDYD9zc2Y1PxLGfF8NzEnLPYfwb7tqA/Lm17+hNw/9dx/48x +72XGJ6Y9Sv9O2l1++8y5jP74zN+R/kTMv4H597DvHsb/Zt/dZdbqDNzDfe2s +2QmYvxNjEzP/RubfzPiMjD/A2P202znmjnbW/0v0p2b+Acyfgfl3MX+M5hjn +vsjYVLT9GZ+e8TsZm9n3CZ4H/Ah4PPAO4AnB14MnAe8Onhx8K3ht2mXgZcDj +8zzuq3Puf9m3sb6c5zWX65t7WZLxydm3F3hK5t/BsZOB9wRPAb4d/DD4SY4/ +U3tB/yiO34bxBYyVOH5S9u0B7sv827TF2izwZOBbwFOC9zPeAY/0efJbZ+b5 +PK49oN3Fee5m+yPtFfr9mX+McTvzH2L+TOBjwXODHwavW+QcHqvNW5n7GaJ/ +5thh3M9zncTAxr6vMmcDtiPAc7E9xO9fWwce0kmMfBH95Wk/0V+GfWNyva05 +3zhc7xqu95GxD+O/tDOnw/iqTXyof96kk5jQWNCY9OVOYlhj1zf1GZ2sEdfG +636zncTsxuq/006v8vzf5HoP6Cs5/xHgWcH3g5/uxKZpy/xuH6qzNmvvl/65 +jM1HGwVewnXHvkfoP+z3R/+BOv3C317H1s/E/Efbsfnbc40H/Ta43kx94hv6 +Mf5QOz5iz05yGnOZPY3ZOMfhzJ+F+fdx7Njc/zSM387YbbyDaY2pG/t6j/7e ++BA8M/he8MXMXaXIb1+Wc2/HvgcY34jx/lx/B/BD4E3AM3s/4PvBG4L7gefj +etOC9+JaS4A/aeK7h4r40++aeML4yHxsIHh68Akcfwb49yZeea9IvDEzeCLw +oYwfD/60yf8eKRK/bEy7Cbwq45Nzvd8Ynxs8qkj8vYnrF7wa430Z/7jJB41H +zA+HNvPPYfw88PeN/3ilSDz6RxOfvV/En/zVxCsfFvEn3zTx/nNF4s9vm9/z +fJF4+mfwrOA3iuS3nzX53aNF/PcXTf77ZJF4cEow/7X25H4OA//UxN+vF/FP +Pzb+7LUi+eFTZb5b880n6f/N+AKMf1QkXv+hiddeLZIvP15m3U2izaf/ZxOP +fVAknju0Ex+rbz3Ub5J9t+h7uJ8pzK+0b+w/i30r14n95imylowBP2ji8duL ++KNHuMaL2mHa1fQ/bPKNkUXig4+a93tXkfzxCea81k4M8z79HbVxjG/K9Wfh ++luD7wWvB54e/D/mvNSOP3qX/lbaMMbXZXw6xrcE3w1eBzwteBvwfeD1wTOA +N+K6D3LsU+343Ef5Tc+246N+ob8F8+9i/trMn4b5G4CvB68IngS8uWuV455j +/ljGBozfwPhKjE/aJ2OzM+f5duaMx++do8gz8dlsxvxbmb8G86dk/jrgq8HL +gScwXwVfB14BPLHXA98JXgs8Nfhz7vEZzjU27bM6v2VWzv90O79pXWMe5g9n +/oTMXw98LXh58ETgwzvhEOQODvcb6iSHN3f3Hv9t8p9viuQns9IWB38F/oj+ +MWzHKnLsvBxzhfGrMbp22Tihl5jBWGFUE/vsAJ64iYFmZnxRzveFMQ79Z+vE +4TPoG+g/zTN6j/5Uxpr0V+F+VmD+Fdz/Utz/bK5h41rjRPqz0BYDfwn+sJdc +aCf6kzY50fH0xy4Suw00bqzj2/rRnqdf9+KT9EUXgzfmeutzvlu53jJc740y +cfNsjO9E/2r6F3C+YZ1wKpexPR+8VCecya2d+LBlmphrJMeM1Ldwzjvo38D+ +CxlfupMc9Q/2zd2Jj7iP/uzmiMz9njmf0J+btiL4V/AX5otFOBa5FWPO241L +wXN24iPmNMdi7EfjZvrndOKT9EXXNT5B3/ALcy6lf0GZdT8zbWv66/ksmD9L +J5zHbXVy/09dE/RH1okdv3TN0b+qE45JbsnfeW0nnIlciXHc9Z3k5Obixm1d +/UsnMYyxzI11YpkRnG8z8z3jFWNT8JpyQ51wNnI1xnhXdMIJyAX4O66tE7vO +oY2g/zv7d2F88k6+Abm53RmflLYy/XPL+M0paZvRH7eXmN5Y/lWOv7DMtz2r +vpj+HuZORY6Zijm/ewzbsWlv07+MsY1pvU7yqo/rfEsd2kfGZ+zbjPEx2R5l +3KYNZXulNpb+500+8niR/Hte2srg380j6a8mx8P85bnWgnyPKxlDG2uA5wef +pM30vBxzotwS1zmQY/t3wpmcRH+cItdegH1zmOMy9wf2fWq8y/m2Ao/N9341 +uA94S/BY4Kt6+bYXca21841P1AvHOF+Tm7zRSc5gruC6fZ17+IftLLQdyrzr +4xgf0Lzzh9ieAB7Uic3qaXO53phc78peszbMidpZIxt1soZdu3Ku+3bCYcpd +7kvbuxNOUS5xb1rF+TblfH043+WcrwRvAu6BL9P/dpLjmdt5n23GhwG/K8JH +SCbL/31bhK+4hO2aReYu5zENH6T9kV/ZvQ5XMR5tlYabWY6xH9rhaLpycMz/ +qwifWIM3B4/B/VwBLsCrgf8swjdt3Mk7813JUY/dC2ehjdRWPtZJDmzuq485 +vROORG5Ejm0t5l/K+Zbm/OPxfczKMaeAB4EfZezfTjgCuYFV6G/D+PTG0uBF +6nDPdZFnKwctN1wVebZyxN8z5+B2OJEP6I8hf1TEhnzG+56LayzHuX5i3+f0 +N2J8PfAtXH/uPvk2e7T92/lGfzLv6YQDvpn+L7Thnfi4B80HO4lRjU3/x76/ +OuGU5ZJXch7tcvAKnXAM03LN2Rl7i31v0e9PGwz+BPwe/Rcbn6WvMkfux74F +Gf9Ym0r/N675Ffu/0D8YO3WiCagFGNPvD14K/HU7v2GmXvhgeeH3zRdcw+B3 +PYb+NLTZzCeMmejPSJuviXdHm5/1YkO0HXIzixfhfOV6Pze+Z3we5o9m/9ue +z28MPCPP827w5lXynzub73sl2unghcA9nvc9VeKXPxt+9a4q8cDvDb96d5V4 +44+G/7y3SjzzV8MXP1Alnpb0ly99qEr80imTzz5YJV5sl/nenqoSr9Vl4qWn +q8RfvTLx0f1V4vd/Of844Geq5BNjMD4Z+Nkq+ceYZeJ7OV3XkmtKrtcYzlhu +A9qM+mfmP838icrEh6PBL4KnKBM/vgl+BjxJmfnvgF8A9y2Tz7wNfh48eZl8 +6y3ws+BJy+Q3o8DPgScrkw89WSXerMrEZ89VydfGKpNvPFEl/izLxFuPVonf +ijLx3aTmBOYv4NnAU4C/0pfr+8GbsOXntj43Bi6jMQ1obKja02b87rfND2jj +es9ltIY1OWhG+k8xb5TxfysczOJ8L7/Rn9O1qZ7G9mfjY32+OVuZWHI72mJq +JHX8yZKNf1m1jm0bBl4AvFAZ3+ZNyjnImU3cxHhyaSOrxJ+/NfrLUH5f17iU +sYHg3Rhvg7fyd4GH9HKudcDzgpcB98DrgQcZv7Pd1ufJvm29X+7nL/B89Odh +/PEq8Xq3TLw7pI4tmxU8B/j5Kvnr2GXymVfAj4PHKxNPn1OF/3m34XOOq8I3 +vdjwQcdX4ZNeatbbyVX4lFebfPqsKnzKOw0/cnYVvmh0w4+cxP1sy70fy/Ue +NH6uwn893/Avx1bhj15o+KXTqvA9bzR8wylV+KTXmnz91Cr8zutNvq/eqf5w +eDd8+/Aq/v3SbuzZClXiwcu6sX/zVLGPx3bDj5vHTmd+0U4OL/+vfTq5Gz1j +UBX7cyL4NePtKvrBYeCXwfNXsXcndaMnHFjF3z4Kvgn8QpV8bpwy+c6IKnzO +0w2/dUSVeOPJhq+6qAo/8VHjr64Hn6x/Bj9trlXFn30PfgZ8ZRU+6kvwU+BV +q8TLV3aTX7wGfhI8QZl8cPUq8dXV3eQzr4OfAk9YJn98FfwEePwy+d8VVfiv +L5j/JPO35H3OwbN6gPEneuH15PfGMqZW46jCt3xI/3/m11X8/eMN/3Z4lXjn +iYYfvLgKf/Mx+DHw7eCzwb+Cn/P9c52d2okZT6V/Jm3XdmLks8rY64uY/zfz +n2f+UmXiw7mMr+kfWSW+e6rhD1erop9f1U2+dJTxEXML8I/N/e7K+GPg33vJ +4cztfmlyu63rxNXG1+oNxiTGau93EqtsWIeX+6XJr4Y1+dJQc1Rjq7rJUzqJ +j+XE7qDfvwhXJqe5PXiWIvmBHKxa+spFuFn505na2eeY/PLs7ejfrzT8mrGn +/P1LdWKUwz22SOxyaZ1Y2HhcvdX4epfm+Rqb70T7pxV9WL1n+zpctLnQhfRX +dI2CB/N86j7JX8wV1ONfdq3XyfXMDe+tw5er1ZzXiVa7Qp241/jX/N33bS7g +Oz6jTj4zdTv6+FN18q8p2qlHeKKOzdR2Lu491+F8FyzDWcoF6+P0jfpUfZ8+ +dZVufK6+VhusLfaezbeWBh9Rhk/fsErOe2SZNWQuLIerJr98K9yuOfghZXJ4 +c/OpwNOU8UeD6nD+U5fhuNQCtOnadvPLTepoDFvy26cqoj3sRhu/HT1HPWqP +OlqAsdzjdTiZHcy/i3A1t1bJdfRR+qo5Of9BnH998KJ1Ysx5y3AGxp76WH2t ++d46dXysvtZnvF6Tz8o1qHc8Sf9/VXJP19jZTT5q7mgOeR79vepwaXLVl/u+ +qujHX3dTr3JZlfjrs27qRRYt48/GoO1YhkfXnmwPPr6MfVOf/7YbPf3mKvH7 +T833dUsV+/JzE8/dVEW//hFcga+rop9/043+fnUV/fyrbuojTqyiN74M/oPv +b1PwhuDbu6mfWQe8JviGbviG9cBrgW/sJj9cuAxXvTltfPatz/jajN/UDb+g +Pm59xjXd8DEbgNcB39xN/L8JeAPwbd3wF5uBNwLf0U1+a/y6MXhkN/Udl1ZZ +X5+CFa7PqFJ/8xb4r8b/HgJ+BfwneEgZ7n0rY385LvNr4z36N/fS9EMT1hmT +05+tG05frv9a8IAyMcVYjK/ENa8sw7VfV0dTPptvb/wiWrM1EKfyPU5WpDZC +De0scN8i2tq+tL7t1MtYn6HP1/cfpQ2Ry6mSH13eTb4gB/1ZEc1EbtocwLXw +eCe5wQVV6ive70Yv1r9Yf/FBN3qpOo7xxzYcczTXOa9K/dR73ejNcugvFOGo +5dbVqNWqpwHv20sOr/Zzb5Pby8m/XYQjl6u3ZsbaGbXKnXvhqO8twuHKXVtv +IB93QTf5zJAq+daZ3eQ7o5pzWfOixtWfNth3RVtD/1VGm1Ojq6rYCuPBoe3w +UcZ/S7Rj88fznGW4FjmXdhVO6lMO2YWxheVL63wPb4MXA68Fngy8Isct1Cec +ldzVQYwvYr5R5Fks2A7feD3tJfAA8A30r6U9Ap7X74H+WmXqAtQar2jwjO3k +KOYqa5bJ28zfrCdSY1RrtOZggirj1hqZY75YhsPehnt4qhNuW1tlfjCoHX7K +fGCg5/Z5l8lJRzN3ySK56jNluBk5mn/oP1tGh1WPXb2MxuT6fZbfuyi/93L2 +rdvKPXv/2qdh7fhQY+79mb8K/V2ZP5T5u9apTdpAn6Ptr1OfpU/QN0zDvH04 +31Lt8D3WNFnbpD0+kP6c3Xz7S7fDn67hOjSf8zvg+O3YLtlOzdIX5iZFar+8 +hpzv6XV8o3HQ8n0SA+mr9dmnlfFl5heeQ77u3Dq2Wt7P2rxON1zvn61wEN+W +uVfr476jf6L+iP5zjC3H/OPBm4EfBC8LPquOLzDuWkH+HLxROz5T32ncZPy0 +cTucsZqu2u4D9If0aTQNftPznWgdcpD6EzWPJ5v3ZX2a7/A5cxbawq3Uw8jP +XlyGB1rG9Uf/gzLfpjUvH9L/iPZDKxr+x/QvKsOTDWv8zauuuXY4m9fKhqPp +RIOVu5kHPLyVmhr1dmtqlmBs605qbRYpw7u4Bs2/7i/z7KwxHIfjPymTz7mG +P6U/N+3XVjR2+W415OGc77pOtOWBZd6FGrP6vXy0v9UaILVL18sw5l/ZiVZv +fZ5ryZzV3PUr2jjtaDZfl4l31VmMIeREB5fh3Y2PjJP83l2rxnSD6E9fhidz +TW3arHfrXt5ifNpmvatracNXaZ63dTDWw2xM/0bP10ldm/VsG5WpHTm3sQ+u +Z7UpayYmrjKu7TBHNlf2HJ7r/Ma+uEZdq9pX7ezaZWpf9D9XNe/POhj3ObZh +mdheDnp0mRoHax3MWQ/geuuX0bXUgsxR3ipTV+I+x9SgrF2xhkVtypqtLfkt +O3VSy7WC76SVmi71Qn2g+b55v75xWZ9pK+dQ3zuvTO2gNn2LMpz4j5xrqyJc +uferTuY7Mh+Rx5bPVsN7tLk/8ylt+qgyNRDWSC7SSm2E/ltfbg5+UJUaEGtB +zJn3q8IZXsix5xXhEv0+5m+4U9eOepK2XY7xmzLrf7mG+5WrVpNWmzaHNpeW +A5YLXqqVWjU1VLXU/q3UIsv5yv3q8/R9csRyxWpm1rrJWT7M+S8twmWqH2n7 +5DS/b9ansaCcjtzOVXVqoaynWrCOf97d76Kd2rJr6tR5mUNYb+N6lAtRM/q8 +jGY0Um2hiJakPVWXU8NQy3B9Wvfjmhjc2AvrPH1nvjv1H32tNkHboOan9ifH +ba3isQ1HMG0rtZdy2HLZctbWylpzYe2FMaCx4La8m21oE5fh3GYo429X1T4W +0YnVi/19uzE2XRn/vZI23fdfRc87rxu+c4kquca54FHmt1X0yPO74VcXq8K/ +ntVt+N4ytbnaRL9H68OtR9yL8Zd6qTGQe5XjkOtQ81f779dKbaoau1r7TK3U +ZqvBq8XP3ErtmPFQP7+jVmqL1fjV+tXsrW0/vYl5rOmxNlhNXm3eGgJra60p +sLbAmgdr19Tg1eKtObDW0hoDaw3U6K1lUxNQG5DjtTbVmgFrB9SMrC215uD5 +hsOxtlcNSS3JmgNrO62ZsXZGDmDnJt4dtxsOZvde1re2xpzc3FzNR+1nC3OU +KpqQ2pAczY5VODFrpeS45MpGNjHovq1wW3Ik1vpbLyB3IiezSDechlyNGo9a +j5zI1lU4a7UZcwBzATUbtZtNfH+u9zp1MdbHWE8nh2ItkxyFXIU2Qc7ppibW +l1OydkoOTa5JTslaKDk0uSY5F2uz5PDkYtRg1GI2A29bpSbN2rTt/GaqcCbW +Xsm5yaXI+SzO+x+zHS5IjmbZbnJ4c3k5qSW64WTkquSsrL02xzPXs4bFWhZr +ZKzN/YFzrdWJzqi+KIdojnh0K9yiNTTW0ljDYq2qNSTWklgTY22oNS3WtviN ++61bg+EaG7+VWkFrLkY2a85aTWsurL2wJsNa/v84yTL5g1ylNWzWsslR7lOF +k5y+yTHkKuVIrX2Tc5M7leOyFtycxNxEzk6tSc5OLk9Oa/5uODu5LjlLa5Xk ++OQy5TStRZIzk+uU87TWSk5MLtR4Xu3d+jLrq+Rg1T7kbOVm5WCtbTqkldxQ +znXuJseWizVmM3a7HfxIFR+mL9tGf9ILpyO3o969XZ2cTC3HGMxcTY7ZuMH4 +Qe7548b+L9HYO/lmtfSF29HP5BS/avyDXKM26t3G3mi75CStfdDGyVWObuzR +gMafyNGqVWnT5G6H1+EW5QDkAh6p49vlkOSSrPE/mvmHdVL7/0rzPUzS+DM5 +YLUtczK5YfkR42BjsKF18uu9W4mhh9XJgc2FjRk3qmOD1Z7keLXNbzT+sl9j +P4f3CY8hn3FyHU3J2n05EbUmNafFm+9fLcp8wlhWDk4u7jbXYCucpfVFcpLW +cmjj5SrV2dTb3lXrq5NTqqXJYZtravPV+tT/9QVyWHJZi5qP1OG4rQWfuhXu +W75M3cIcc8k6nPVLjf+Xy5Zf27KMZqlWMXsdvmmOZr2LXfuuz8ur1P/5bZpD +W5+7ay/xtHG1estcZfQXc662dtIYr52/OVF/ma2MXuExaqa79PLtmQeoX+xZ +pr5cf6O+o03U997Vja18Dzwe+OYi+a/xgrW5/t6r6R9XRn/wntV3duvlXvym +/bbVaPxbGTkjtRs5IGtPlmmFG/qqSn5snmy+bLzyhe9Le16H7xrRCse1rGuh +yr0aL1gbqCZn7ZYaoFqd/KC6lPrUgDqcodzhGz5/+VLmvNlK7c7NDb9nTiGn +ul8vz9RnKyertjUp819pJYbyfnzH/nY1tcF1OHFrs9Q05cq/rHLt12gDGb+r +TuxtPbZ/r+Mz99m7pl3bcp5yn+Y0i9X5uxz/PmcPY3jwjFWehTn7AnVqsLc2 +Fu2kNtv6gOXa+fsk/55h0SZnlqM2N5ejMEfWxmnrzLGHllkjrhU1R2sxH2xF +i1SjtDb0oVa0SzVOa+XkKNQ+5X+Nu4y/1ErlUOVS1ce/qcNZyl1ab7tnHc7U +XN2c/eA6mqi1nmo2aqVqmtZSqvGqdZojy7PJt5k7q6lZK6gmrNZmzixPKF9o +Lq3mY62bOYVa0NFVfKs59wl1NGQ1FHMKteVfq8ROrpGD9Pd1vgU1B7UHNRxr ++9Rg1XbUaKzVU3NVu1HDsRZQDVptR43P2jk1QrW/fTjHCu1oGv59jfbV2nRz +yhXr1LCqg6mHHVhHAzWvNL+Ub5YTMY41npUr8X6da/xlvKdmbG2sGrZa8tdV +1sIaTTwvNvbVHxtPT1b9V4ryH+eyXx0N3r9FktNVm1dTt5ZD+6/WfjRzNm0n +59Y+9avju/dr4gVrhMyx5NAP7IXzMo81n5UL00ZoK9QU5M7kxOXGzTG0F/4N +3j6MX9TJ3+Yt0OR81nOqBat5W5toTYFauD5V32pOZz2TnI45pBy5XI+cv9y/ +Mdz1dTRxaxGtOVArlyOR15PfkztRw7V20RoFtd2XjDFa4UysB/NvLK199R3u +Xad+Rd9rLcYFjf2ZsxVOxfjcGoQVm/VvbYL6hbzSfxxWnZoG/xZMzt1ah6Ma +/sZnfEyd56ut37aJj3wGPgvXtPU+h9Xxpf9xQnVqJoY28d+9zfvSl2zSnM8a +AGs91citDZDTktvSB+oL/5+TVJOQq1y6jP7u+nEdWUOhPbuxldoK9Zr/eCfm +jKhTM2FttDUb1lIcWWfMe1AP2auXteY79d2q36zZTY3CTr1wzP2beEruWZug +bRjS2D85Zf+W6eBWuObfmvjdeN04/Ide/Jw+ZhfwsXXqKbvs+6kXHlE+0XtQ +L9X+aFu18dp642t5C2OcPXvh2Xy2PmO5o2fZtyTHXQy+kfM/Dl4AfCr4kioc +v1z/wca+zXr3b+n8Rvdu/KG1DnKS8vLj1LFH4zd8n/bGv6Xym9P/mHO+U0QD +NxddrJfcwxxE/WFR2i5+n93oK2oyC3ajYajVTFEnN5q24RfVXPzbZTVotZhZ +6sTKxtDG0rPV+S3GzMbO3/da//2BlZrKTlU0FGtB1XDVVrSx2lprJI6rY5O1 +zXKy2tejythaf6N5zQscv3Lz/dynvQXXTf61fxXNd4wmPzO/2rFOba4+cIfG +XuhfD+xGW9uisZ+fd1Ov8WJjD84uw7/OUScXtIb8FPorleHj5dh35pgXe6nn +ua/5ntV4pu4mJjU29ZsZUYaT9Vt6v05d3ZB24nU1otm70YjUjtRrHfutiQ/U +Yxdph09aqYrGLWfrN7kH/X168Z3aSG2l8Zm1MdqQfcrcv7Gt+YT57PAy/LXH +6He1b97rM91ondZIvFikRsLaCTVW46NR3Wiv6sv+LaExtvmEGohaiDGff0/s +/c1fxgZpi6yxuK/J76y92KUOt6nGrtauhmnse1w32ubPzC+70fj2Zv4vfpPd +aG77VuFA7inyN/NTNc/XtalGtz/9vXuxNdpwbbnv31hajd/67AV6+RZd4651 +NT7jVuNXtb+5mHNOKzm/ub9r1O/5h27WrjGz9tScwdxhzjrcgJyB3IH7TigT +czt3njpr3Zza3HruOrZVG2tuvWAv9+5v9rerHw9vx54+XEUD9W/F1cTURvXv +e5d5v8anxp8jW7GB2kI1W//W33dmbKvmai2d37j5lxrtwCa/NZ9Xo7UWQM33 +5sYfXum3Wyb3HLvO2tTH6es2bOLJw8voB4N7eVe+I9/Vv00+az5sPj1jHVtl +jGisaH5m7iqHI5cjP+LfGvoN6l/71ln7xpjGmvOCr2qFo5CrcM37PP9pbMGf +DZ8iH2L+rA3Tlmnj1I7nq2Mr9DnG0voo1/PJZXzXQr18W9oQbYlr2Pl9yqxt +NekBDT+gVq1+vnw7a8j4YFAvevO/fEPf0R9AWwP8N/ibXmyKupT6lLbmW31U +kWO2qxIv61PMkZevcw7PpUa9g/ayzt8deE3jXTVra+PVYNWy1aB/b/hLtWk1 +6D8avk0+av5ezqUN1hZ/W6f222/MeFrN33+rQo3WWoCBvejp3qP3an2Df2vr +92ztwq5lYj1jvluKaOzWYi/bivb+fhXuxhjTWNMY01jTHM/4UB93BP1PuvF9 +C/diu/XB+mKfmc/Oe9iqSo3lUt3UDNzfxIenl9HPrH1ZpBfuS5uv7TfftJbQ +nE+dWD3bf2tgsiZ+/D8+y3NZ + "]], Polygon3DBox[CompressedData[" +1:eJwt2HfgT9Ufx/GP71ZW00oZJTuprEgiQrSESosov6KojAb6GcksomH8ol9D +KTSMRETIKHuTEULJyOgn9Xu8XX+8vue8nvd1zrmfe88999xviTZP3tkpLZVK +naJMujknldqZkUpdS8P4cVmp1FXYVD5FrRStsfrYDv4aGoqNwWbqYJLOSqan +UrNyEX+MHsNKYDOxGXw9bbdrV4WGaDtW24rYZP5vuRbYPdiXsh9oWxybru10 +/mK5bnKzsa+pDz88O5Xq6Pgwx4fSa3xdfJNcBSpP3/BX05fqmXS/MR42xjXY +dD6bHsTaYov18aNxK+t/vX6XxG/AH6Xr5GfJfqD8Ax8jU522yx3kT9CT2l6F +rcUW8U9p9yRV12aOth8px+K95W6TOyG3jq+CT3M8ix5wLm20+Rd1oGsd+wp/ +X7lMdrO2dbTdq+0P/Gc0HnsOK6nczf9Jj/JH+Dy0jT9J9bGt/D5tV/K7Xa9K +fH/8JeV4/kVjvkC1jLfAuJOVPfjuVFP9W+wT5fP8c3S9+nzsU2VtWqhekDr7 +HX0c70ZdqYZj8/BJyptos3pF6i/XwLidZDpSNcdm4xOVlekL9QxqLfeQ402w +g/yNNBb7GGsW94RvQBOwKVhT7Ch/M9Wn5fybxhnldzfiP5R7i7+GTvP1aDw2 +W9vbZI/xDeldbCp2I7aGL029sWFYHWw1fwX1wl7FFuh/iWtZyTVd7Tov5G+V ++12mLo2TmyTXGPuNr0NjsIlYI+xX/gYajX2ErXd+5+qvrf4OK9fyE2K+q3fB +iih38U/IPk5V9fF1/D7lcfxdmfsoXe4wfwu+z/HraaQxGulvI37I8TZy5yg3 +8w3k9srUoOq0iG9Iv6jXpNe1fdd4+7Svqs1QbecrF/BF6QeZAXFecgPlCmnb +B1spt4KG5CTP6kasGF1Kf/GFtV2qnp86aDtA24LY93xeehTrj90h+yffJJ4r +bDpWSW4/X5kGYR/EGoYd4K+mwdiHZ+fGkbO/K35fVm7PoNwJ9dr0ttw0ucrY +Ib4qDcc+xUZir/ldtbC3sFH8Xfo7xTeN+Y19JXcxvpjPQ+2xflhOdrKG/J6T +3Ku4Z7mzk/t1KCeZ//EcZGIzsFOu013atsOysJlxjbDmWHtsD/adOfaV6/4K +/if/Kw3B2mJvYQf4XdQLa431xXby2dnJunIwJ1nfYp07QJfoe6nMpX7jtTJX +02G5ajTCsclZydzYc3Z9jXU25fo1k8tnjKe0uynmPJ9Ok+L36u9msZbalsa2 +YiXphXgGY25gS/h89Bj2MnYlto0vRS9ib8e1MW7RWGexFdhWbCc9zX+RfuY1 +lSoS64hcEblOwI/YllhPsYLY49gybGNc/5hvWEfsB2wzVsa4P/GXU09sNFYK +28BfQt2wkVhJbD1flLpir2Nl41rzZagP9g5WDvuZL0t9sfFYeWw3X476YROw +4thavjA9gw3HLsNW8RfTU9hQrBi2gr+QOmGDsRLYOr4IPYuNwC7FVvIX0ZPY +kLi32I/8BdQRG4Rtxya7b+PMjR6u4Um+oOvSM64TX0yuOraa/pFriT0he4zv +Qw9gx7Aqcd/57frsrG0JPvYXhfhfqVfcS+w87Ap+NS1Uz49dFvfUmF2okvpV +dI9j98v012dT9ePG6I+/HOuhXH7H5vLLciVrTmesHF+eGss3c3w+ntfxelhd +6irTgS5S7+B8lsptkFsV7wC5u40xzUnP4YvQcplaMWfkXpHroW0z/jZaiW2L +d4Vcff7VzGQvMoJ/I96N0QYbSC/GexN7P+YJP5J6xj4K62KMLryhU4WjP6qt +3hPrRc/LdafG6k3oW8dWZCXXMK7l09gz9JzM5cbeEu+PzGT8OI9ueAO+IX2O +zcPuxP4ndyt9jM3E8mDnKVfIHfA7lumrAHYhthXL57psxM7JTt7Ph3OSvU3s +cUZjb8m8SU9rO4a/INYmudzUxhi95c7PTvYUJ2N+xZyg/dgN+h7lAhSIPUus +c7HmaHOl/q6IfZT89/Fc6ruazJvy0/g1lKHeGuuoPB5rLm2Sq4KNwD7ns7TP +bawj+nrWsbFYDnYudhTrg03ALqJFzu9camf8vo7/HvNPP+/prx1t4M/X9mLH +dsS+1LEtMSYN1M9A/rHY2/H5s5M9z7GcZP8U+6h86hco12h7NPZwMZ+zk/3h +Ecc6x5yIe5ud7KtO5CT7sdiXFchO9l/Hc5K9V+zBcqvnUU7V35R4F8RaSjvU +aziP9s7nD/5xuULxPo69kN+2Kdb8uL+xx8WWYOuxXfQMPy09+S4oGmuJ3GvY +T/GcY9Ww27GTWGOaiM3A/hdrROyhab/xl2Yn+/auMl/FtwGtit+IX+F4Wrwb +4/7yxfBX+W0yV+uvaqx/2BvYbqwGVgfrK9s37llmsvb04y+RGya3VW4LjeJX +4Mcdb8bvSkuuc+xB/p2RfD/Ed8RqvgS9nZG0i/ab+dOyacbaYoy8ack9jzGG +ZiR7l9jDrIv9h8xwbA1f2vnV4LfJFtamc6ylZ+dGmmxmVrJXnxrfR1gKy8Am +x7cO9iX2IJVW/zBYPP8yf0U26+x3g2OH4xrHuzXr7D4QOxrrlewg57LRuOU1 +qeL4ozHX4lsA/x5bF8+cbCtteuDdYx3ii8feWGaPtjXlbpArjPXFVmGlsLJY +OpatnK3dfH3Mje8HbIrcP3It5e6LtQl7N9YIrCF2a+xpsBzlPG2Xa/tddlJf +4BoNk6um/I2fQ7PVJ2CNlYf4r+M7R70fVlG5NzN5bh9QHxhzUrmfL22M/8Zz +hN1i3CbGezbmMw0yXlvjDlZeLjdO7le5uvHtG+9pbGKsTdht2F3xjsfGYPux +Oli9rGS+jMb2Yb/QGL48fYT9yd8u1zz2EdgHGcl7K95fd2AVsE+x09jd2L2x +t4hvQuwAdiNWP/Y+2HvYUawR1jT2FtiHsR5gzbA7saLYYGwTVgGr6bedwl/H +1mFlsOvjuaQR2Frsysjxp2kUtgErh9Xmm8d8w5rRJ9gsrEVO8g+CO7EpqnOw +e7B0rAU2HVuItcRyYXdhU7FvsLuxf/g76PZ4dnIS9ndG8k0W32b57B3vjWdB +25b8DG2/07Y1lhX7gFg7sMXYffEcYa2wmdgirBWWhjXHPsPmYo9gBbBHMpI9 +Ruw12sX7DWuHLcLWYD/H/Igx0888YqlL/NlHL0Q7LA9WMt5Rsf5ii7G8WCn+ +l1h/sQXYuVgJfk+s8djc9DNb4tRl/G7qjs1JP/PIpy7l26uc71zaR5/YWmxv +7Bn4b+MbDCse901mQPz/JL6rzN19/F/4SLn1eFm5Wnxb/eVz7GF8HvYj9mC8 +8zKT6x7Xv5ATejjeFdiD/Ddyy+X+oFdifdBfUewq/hgNzEi+A+J7oDKfZm59 +jB3E6mMtsDb6y6u/h+I3Yz/E+5QGxDWOb1OsEn+I+sW5YQWx8vzh2Nth87FC +WAX+JA2JPXv8LwO7Lt7Z9DL2HVYYq8j/Q+9gO7Gq2C3xLnZ+ZV2nl+La06HY +G9Ancof4BnKt5P6m/2A7sOuwhvz9sa75Hffis7DvsYPUO+a33AWxF+EfiDVM +7r54h2BLsIdiHxFrUdxjbFnsGeilmKPaXoiVicnlXMZju2KtYxthubAJ2M/x +vySs8dn7do7+7sdb00r+/85Ri2c= + "]], + Polygon3DBox[{{2110, 1228, 1054, 1053, 1337, 1860}, {1805, 1215, + 1335, 2165, 1652, 1653}, {1806, 1216, 1415, 2172, 1654, 1655}, { + 1921, 1408, 1000, 1001, 1409, 1922}, {1650, 1649, 2163, 1331, + 1332, 2164}}]}, + Annotation[#, "Charting`Private`Tag$433038#1"]& ]], + Lighting->{{"Ambient", + RGBColor[0.30100577, 0.22414668499999998`, 0.090484535]}, { + "Directional", + RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], + ImageScaled[{0, 2, 2}]}, {"Directional", + RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], + ImageScaled[{2, 2, 2}]}, {"Directional", + RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], + ImageScaled[{2, 0, 2}]}}]}, {}, {}, {}, {}}, { + {GrayLevel[0], + Line3DBox[{1559, 15, 1572, 29, 1586, 43, 1599, 57, 1612, 71, 1626, 85, + 1641, 1642, 99, 1667, 113, 1680, 127, 1693, 141, 1706, 155, 1720, 169, + 1734, 183, 1847, 216, 230, 197, 228, 220, 1123, 198, 1124, 199, 1125, + 200, 1126, 201, 1127, 202, 1128, 203, 1129, 1130, 204, 1131, 205, + 1132, 206, 1133, 207, 1134, 208, 1135, 209, 1136, 210, 1312, 218, 226, + 598, 944}], Line3DBox[{335, 1, 1308, 211, 223, 597, 943}], + Line3DBox[{946, 2, 1393, 335}], Line3DBox[{948, 3, 946}], + Line3DBox[{950, 4, 948}], Line3DBox[{952, 5, 950}], + Line3DBox[{954, 6, 952}], Line3DBox[{958, 7, 955, 954}], + Line3DBox[{960, 8, 958}], Line3DBox[{962, 9, 960}], + Line3DBox[{964, 10, 962}], Line3DBox[{966, 11, 964}], + Line3DBox[{968, 12, 966}], Line3DBox[{970, 13, 968}], + Line3DBox[{229, 14, 227, 219, 970}], + Line3DBox[{1584, 28, 1845, 214, 229}], Line3DBox[{1597, 42, 1584}], + Line3DBox[{1610, 56, 1597}], Line3DBox[{1624, 70, 1610}], + Line3DBox[{1638, 84, 1624}], Line3DBox[{1664, 98, 1638}], + Line3DBox[{1678, 112, 1665, 1664}], Line3DBox[{1691, 126, 1678}], + Line3DBox[{1704, 140, 1691}], Line3DBox[{1718, 154, 1704}], + Line3DBox[{1732, 168, 1718}], Line3DBox[{1746, 182, 1732}], + Line3DBox[{1759, 196, 1746}], Line3DBox[{221, 212, 1559}], + Line3DBox[{222, 217, 1759}], Line3DBox[{221, 591, 763}], + Line3DBox[{222, 593, 766}]}, {}, + {GrayLevel[0.2], Line3DBox[{1559, 1959, 1960, 1849, 540, 1949, 2054}], + Line3DBox[{1572, 1848, 2071, 2347, 1881, 1961, 1962, 1851, 2015, + 2067}], Line3DBox[{1584, 1781, 2195, 1583, 1780, 2194, 1582, 1779, + 2193, 1581, 1778, 2192, 1580, 1777, 2191, 1579, 1776, 2190, 1578, + 2260, 2073, 1577, 2259, 2072, 2189, 1576, 1775, 2188, 1575, 1774, + 2187, 1574, 1773, 1917, 2186, 2170, 1573, 1772, 2365, 1882, 1975, + 1993, 1974, 1976, 2049}], + Line3DBox[{1586, 2074, 2261, 1585, 1850, 2075, 2348, 1883, 1963, 1994, + 2036, 1979, 2050}], + Line3DBox[{1597, 1789, 2203, 1596, 1788, 2202, 1595, 1787, 2201, 1594, + 1786, 2200, 1593, 1785, 2199, 1592, 2264, 2078, 1591, 2263, 2077, + 1590, 2262, 2076, 2198, 1589, 1784, 2197, 1588, 1783, 1919, 1918, + 2371, 1587, 1782, 1884, 2196, 2160, 1977, 1852, 2016, 2040, 1978, + 2057}], Line3DBox[{1599, 2079, 2265, 1598, 2080, 2266, 1600, 240, + 1365, 288, 486, 830}], + Line3DBox[{1610, 1793, 2208, 1609, 1792, 2207, 1608, 1791, 2206, 1607, + 1790, 2205, 1606, 2270, 2084, 1605, 2269, 2083, 1604, 2268, 2082, + 1603, 2267, 2081, 2204, 1602, 346, 2372, 1601, 243, 1324, 245, 436, + 676}], Line3DBox[{1612, 2085, 2271, 1611, 2086, 2272, 1613, 2087, + 2273, 1614, 2161, 2349, 1854, 1853, 1897, 1950, 493, 1996, 2060}], + Line3DBox[{1624, 1796, 2211, 1623, 1795, 2210, 1622, 1794, 2209, 1621, + 2277, 2091, 1620, 2276, 2090, 1619, 2275, 2089, 1618, 2274, 2088, + 1617, 2373, 1922, 1921, 2374, 1616, 1856, 1920, 1855, 2350, 2171, + 1615, 1898, 1980, 582, 1995, 2042}], + Line3DBox[{1626, 2092, 2278, 1625, 2093, 2279, 1627, 2094, 2280, 1628, + 2095, 2281, 1629, 2162, 2351, 1857, 1900, 1951, 1899, 2017, 2032, + 2043}], Line3DBox[{1638, 1798, 2213, 1637, 1797, 2212, 1636, 2285, + 2099, 1635, 2284, 2098, 1634, 2283, 2097, 1633, 2282, 2096, 1632, + 2376, 1927, 1926, 1631, 2352, 1858, 1923, 1925, 1924, 2375, 1630, + 1901, 1902, 1885, 1997, 2061}], + Line3DBox[{1642, 2214, 1799, 1640, 2215, 1800, 1644, 2216, 1801, 1646, + 2217, 1802, 1648, 2218, 1803, 1650, 2164, 2219, 1804, 1887, 2175, + 2383, 1964, 1861, 2020, 2021, 1953, 2055}], + Line3DBox[{1664, 1811, 2224, 1662, 2296, 2108, 1660, 2295, 2107, 1658, + 2294, 2106, 1656, 2293, 2105, 1654, 2172, 2292, 1931, 1652, 2165, + 2291, 1928, 1930, 1929, 1651, 2356, 1904, 1905, 1886, 1999, 2000, + 1998, 2062}], + Line3DBox[{1667, 2109, 2297, 1666, 2226, 1813, 1668, 2227, 1814, 1669, + 2228, 1815, 1670, 2229, 1816, 1671, 2230, 1817, 1672, 2355, 1860, + 2110, 2354, 1889, 1965, 1966, 1863, 2022, 2041, 1954, 2056}], + Line3DBox[{1678, 1823, 2234, 1677, 1822, 2233, 1676, 1821, 2232, 1675, + 1820, 2231, 1674, 1819, 2378, 1935, 1934, 1673, 1818, 2367, 1890, + 1983, 2002, 1982, 1984, 2051}], + Line3DBox[{1680, 2111, 2298, 1679, 2112, 2299, 1681, 2235, 1824, 1682, + 2236, 1825, 1683, 2237, 1826, 1684, 2238, 1827, 1685, 2239, 2113, + 2300, 1686, 1862, 2114, 2357, 1891, 1967, 2003, 2037, 1986, 2052}], + Line3DBox[{1691, 1832, 2243, 1690, 1831, 2242, 1689, 1830, 2241, 1688, + 1829, 1936, 2240, 2173, 1687, 1828, 2368, 1892, 1864, 1985, 1866, + 2023, 2068}], + Line3DBox[{1693, 2115, 2301, 1692, 2116, 2302, 1694, 2117, 2303, 1695, + 2244, 1833, 1696, 2245, 1834, 1697, 2246, 1835, 1698, 2247, 2118, + 2304, 1699, 2119, 2305, 1700, 1865, 2120, 2358, 1893, 1968, 2004, + 2038, 1989, 2053}], + Line3DBox[{1704, 1839, 2250, 1703, 1838, 2249, 1702, 1837, 1938, 1937, + 2379, 1701, 1836, 1894, 2248, 2166, 1987, 1869, 2024, 2025, 1988, + 2059}], Line3DBox[{1706, 2121, 2306, 1705, 2122, 2307, 1707, 2123, + 2308, 1708, 2124, 2309, 1709, 2251, 1840, 1710, 2252, 1841, 1711, + 2253, 2125, 2310, 1712, 2126, 2311, 1713, 2127, 2312, 1714, 1867, + 1870, 1868, 2369, 1906, 1955, 2006, 2007, 2005, 2063}], + Line3DBox[{1718, 1842, 2254, 1717, 1942, 1941, 2380, 1716, 1872, 1939, + 1871, 2359, 1940, 1715, 1907, 1990, 2029, 2069}], + Line3DBox[{1720, 2128, 2313, 1719, 2129, 2314, 1721, 2130, 2315, 1722, + 2131, 2316, 1723, 2132, 2317, 1724, 2255, 1843, 1725, 2256, 2133, + 2318, 1726, 2134, 2319, 1727, 2135, 2320, 1728, 2136, 2321, 1729, + 2167, 2360, 1874, 1873, 1908, 1956, 2010, 2039, 2009, 2064}], + Line3DBox[{1732, 1945, 1944, 2381, 1731, 1876, 1943, 1875, 2361, 2174, + 1730, 1909, 1991, 2030, 2031, 2008, 2045}], + Line3DBox[{1734, 2137, 2322, 1733, 2138, 2323, 1735, 2139, 2324, 1736, + 2140, 2325, 1737, 2141, 2326, 1738, 2142, 2327, 1739, 2257, 2143, + 2328, 1740, 2144, 2329, 1741, 2145, 2330, 1742, 2146, 2331, 1743, + 2147, 2332, 1744, 2168, 2362, 1877, 1911, 1957, 1910, 2026, 2034, + 2046}], Line3DBox[{1746, 1878, 1946, 1948, 1947, 2382, 1745, 1912, + 1913, 1895, 2011, 2065}], + Line3DBox[{1759, 1969, 1970, 1896, 2013, 2014, 2012, 2066}], + Line3DBox[{1845, 1771, 1844, 2346, 1571, 1770, 2185, 1570, 1769, 2184, + 1569, 1768, 2183, 1568, 1767, 2182, 1567, 1766, 2181, 1566, 1765, + 2180, 1565, 2258, 2070, 2179, 1564, 1764, 2178, 1563, 1763, 2177, + 1562, 1762, 2176, 1561, 1761, 2370, 1916, 1915, 1560, 1760, 2364, + 1880, 1972, 1992, 1971, 1973, 2048}], + Line3DBox[{1847, 1846, 2333, 2159, 1747, 2148, 2334, 1748, 2149, 2335, + 1749, 2150, 2336, 1750, 2151, 2337, 1751, 2152, 2338, 1752, 2153, + 2339, 2340, 1753, 2154, 2341, 1754, 2155, 2342, 1755, 2156, 2343, + 1756, 2157, 2344, 1757, 2158, 2345, 1758, 2169, 2363, 1879, 1914, + 1958, 2028, 2027, 2035, 2047}], + Line3DBox[{2044, 2033, 2018, 2019, 1952, 1903, 1859, 2353, 2163, 1649, + 2290, 2104, 1647, 2289, 2103, 1645, 2288, 2102, 1643, 2287, 2101, + 1639, 2286, 2100, 1641}], + Line3DBox[{2058, 2001, 1981, 1888, 2366, 1805, 1653, 1932, 1933, 2377, + 1806, 1655, 2220, 1807, 1657, 2221, 1808, 1659, 2222, 1809, 1661, + 2223, 1810, 1663, 2225, 1812, 1665}]}, + {GrayLevel[0.2], + Line3DBox[{946, 1394, 1138, 2370, 947, 1315, 1151, 2365, 973, 1380, + 1483, 1518, 1524, 1457, 1548}], + Line3DBox[{948, 1139, 2176, 949, 1395, 1396, 2186, 1397, 1398, 1316, + 1319, 1317, 2196, 1456, 1364, 1485, 1486, 1484, 1534}], + Line3DBox[{950, 1140, 2177, 951, 1152, 2187, 974, 1399, 2371, 1400, + 1401, 1402, 1320, 1324, 1321, 1459, 1366, 1489, 1528, 1487, 1535}], + Line3DBox[{952, 1141, 2178, 953, 1153, 2188, 975, 1165, 2197, 987, + 1403, 2372, 1404, 1405, 1406, 1407, 2350, 1328, 1462, 1463, 1461, + 1490, 1554}], + Line3DBox[{954, 1142, 2179, 956, 1154, 2189, 976, 1166, 2198, 988, + 1178, 2204, 1000, 1408, 2374, 1410, 1411, 1412, 2375, 1413, 1333, + 1466, 1467, 1465, 1492, 1555}], + Line3DBox[{958, 1144, 2180, 959, 2260, 1156, 978, 2263, 1168, 990, + 2268, 1180, 1002, 2274, 1191, 1014, 1414, 2376, 1203, 1027, 2291, + 1335, 1215, 2366, 1040, 1385, 1386, 1341, 1513, 1530, 1469, 1543}], + Line3DBox[{960, 1145, 2181, 961, 1157, 2190, 979, 2264, 1169, 991, + 2269, 1181, 1003, 2275, 1192, 1015, 2282, 1204, 1028, 2292, 1415, + 1216, 2377, 1041, 1340, 1229, 2367, 1055, 1389, 1495, 1519, 1520, + 1470, 1550}], + Line3DBox[{962, 1146, 2182, 963, 1158, 2191, 980, 1170, 2199, 992, + 2270, 1182, 1004, 2276, 1193, 1016, 2283, 1205, 1029, 2293, 1217, + 2220, 1042, 1416, 1230, 2378, 1056, 1342, 1244, 2368, 1070, 1391, + 1496, 1521, 1526, 1472, 1551}], + Line3DBox[{964, 1147, 2183, 965, 1159, 2192, 981, 1171, 2200, 993, + 1183, 2205, 1005, 2277, 1194, 1017, 2284, 1206, 1030, 2294, 1218, + 2221, 1043, 1231, 2231, 1057, 1417, 1418, 2240, 1419, 1420, 1344, + 1347, 1345, 2248, 1471, 1372, 1498, 1499, 1497, 1537}], + Line3DBox[{966, 1148, 2184, 967, 1160, 2193, 982, 1172, 2201, 994, + 1184, 2206, 1006, 1195, 2209, 1018, 2285, 1207, 1031, 2295, 1219, + 2222, 1044, 1232, 2232, 1058, 1245, 2241, 1071, 1421, 2379, 1422, + 1423, 1424, 1348, 2359, 1352, 1349, 1474, 1374, 1502, 1529, 1500, + 1538}], Line3DBox[{968, 1149, 2185, 969, 1161, 2194, 983, 1173, 2202, + 995, 1185, 2207, 1007, 1196, 2210, 1019, 1208, 2212, 1032, 2296, 1220, + 2223, 1045, 1233, 2233, 1059, 1246, 2242, 1072, 1258, 2249, 1084, + 1425, 2380, 1426, 1427, 1428, 1429, 2361, 1356, 1477, 1478, 1476, + 1503, 1557}], + Line3DBox[{970, 1309, 2346, 1310, 971, 1162, 2195, 984, 1174, 2203, + 996, 1186, 2208, 1008, 1197, 2211, 1020, 1209, 2213, 1033, 1221, 2224, + 2225, 1046, 1234, 2234, 1060, 1247, 2243, 1073, 1259, 2250, 1085, + 1271, 2254, 1097, 1430, 2381, 1431, 1432, 1433, 2382, 1434, 1360, + 1481, 1482, 1480, 1505, 1558}], + Line3DBox[{1123, 1295, 1311, 2333, 1110, 1283, 2322, 1098, 1272, 2313, + 1086, 1260, 2306, 1074, 1248, 2301, 1061, 1235, 2298, 1047, 1222, + 2297, 1034, 2214, 1210, 2286, 1021, 1198, 2278, 1009, 1187, 2271, 997, + 1175, 2265, 985, 1163, 2261, 972, 1150, 2347, 1362, 1379, 1435, 541, + 1522, 1545}], + Line3DBox[{1124, 1296, 2334, 1111, 1284, 2323, 1099, 1273, 2314, 1087, + 1261, 2307, 1075, 1249, 2302, 1062, 1236, 2299, 1048, 2226, 1223, + 1035, 2215, 1211, 2287, 1022, 1199, 2279, 1010, 1188, 2272, 998, 1176, + 2266, 986, 1164, 2348, 1363, 312, 375, 631}], + Line3DBox[{1125, 1297, 2335, 1112, 1285, 2324, 1100, 1274, 2315, 1088, + 1262, 2308, 1076, 1250, 2303, 1063, 2235, 1237, 1049, 2227, 1224, + 1036, 2216, 1212, 2288, 1023, 1200, 2280, 1011, 1189, 2273, 999, 1177, + 1365, 1318, 1381, 1436, 1508, 1509, 1458, 1541}], + Line3DBox[{1126, 1298, 2336, 1113, 1286, 2325, 1101, 1275, 2316, 1089, + 1263, 2309, 1077, 2244, 1251, 1064, 2236, 1238, 1050, 2228, 1225, + 1037, 2217, 1213, 2289, 1024, 1201, 2281, 1012, 1323, 1322, 2349, + 1325, 1443, 1460, 1549}], + Line3DBox[{1127, 1299, 2337, 1114, 1287, 2326, 1102, 1276, 2317, 1090, + 2251, 1264, 1078, 2245, 1252, 1065, 2237, 1239, 1051, 2229, 1226, + 1038, 2218, 1214, 2290, 1025, 1327, 1326, 2351, 1329, 1444, 1464, + 1525, 1488, 1553}], + Line3DBox[{1128, 1300, 2338, 1115, 1288, 2327, 1103, 2255, 1277, 1091, + 2252, 1265, 1079, 2246, 1253, 1066, 2238, 1240, 1052, 2230, 1227, + 1039, 2219, 1332, 1331, 2353, 1334, 1445, 1446, 1367, 1491, 1531}], + Line3DBox[{1130, 1302, 2340, 1117, 1290, 2328, 1105, 1279, 2318, 1093, + 1267, 2310, 1081, 1255, 2304, 1068, 1242, 2300, 1054, 1228, 2354, + 1369, 1384, 1438, 1512, 1546}], + Line3DBox[{1131, 1303, 2341, 1118, 1291, 2329, 1106, 1280, 2319, 1094, + 1268, 2311, 1082, 1256, 2305, 1069, 1243, 2357, 1370, 1388, 1439, + 1387, 1514, 1523, 1547}], + Line3DBox[{1132, 1304, 2342, 1119, 1292, 2330, 1107, 1281, 2320, 1095, + 1269, 2312, 1083, 1257, 2358, 1371, 1343, 1390, 1440, 1515, 1533}], + Line3DBox[{1133, 1305, 2343, 1120, 1293, 2331, 1108, 1282, 2321, 1096, + 1270, 1373, 2369, 1346, 1392, 1441, 1516, 1517, 1473, 1544}], + Line3DBox[{1134, 1306, 2344, 1121, 1294, 2332, 1109, 1351, 1350, 2360, + 1353, 1449, 1475, 1552}], + Line3DBox[{1135, 1307, 2345, 1122, 1355, 1354, 2362, 1357, 1450, 1479, + 1527, 1501, 1556}], + Line3DBox[{1136, 1359, 1358, 2363, 1361, 1451, 1452, 1375, 1504, + 1532}], Line3DBox[{1308, 1377, 1378, 1314, 539, 1455, 1540}], + Line3DBox[{1312, 1453, 1454, 1376, 1506, 1507, 1442, 1539}], + Line3DBox[{1393, 1313, 1137, 2364, 945, 311, 428, 667}], + Line3DBox[{1542, 1468, 1511, 1510, 1338, 1383, 2356, 1382, 1026, 1202, + 2352, 1330, 1013, 1190, 2373, 1409, 1001, 1179, 2267, 989, 1167, 2262, + 977, 1155, 2259, 957, 1143, 2258, 955}], + Line3DBox[{1129, 1301, 2339, 1116, 2257, 1289, 1104, 2256, 1278, 1092, + 2253, 1266, 1080, 2247, 1254, 1067, 2239, 1241, 1053, 1337, 2355, + 1336, 1339, 2383, 1447, 1448, 1368, 1493, 1494, 1437, + 1536}]}, {}, {}}}, + VertexNormals->CompressedData[" +1:eJztXXtwVOUVX0lIAhmdxiAMUgw4raCObW1ngsEb1kraoY1oSYp9yVTlIU47 +pUOFyURLaFoEaXV4WMrQSLDVAAPKIwJ53M0NLoQkSBJJshEEEliyJAE0bjCU +UkLj3nOus2e5s2y8m/vd3cM/zP3tyXn8vvOd8wXunm/8swuy5g6x2WxPDLPZ +Yvr//uDhvHkbN3kUm/pnKTzbGR8YTp4Vs/2xOq7HJ/M8OHwyz4PDJ/M8OHxG +G89m8RmpPIvGp9V5Fo03q/MsGj9W51k0HqzOs2jxWp1n0eISDWc+zeVZND+t +jofKc7jz3yh/jLJr9XhZnuVZnuVZnuVZnuVZPjLkGWeccf73W8YZZ1ycviya +vFH1jfWzftbP+q2iP1Q9bJftsl22y3Yjw66ePOthPaxHHD2Mi8mzwflgOwL4 +EYJXA36U4E7AXYB/rfP+gyPy3RI8K04ifxrwUoK3AP4+4HN8enrkBsBrAX/0 +1bnDH0nulasAbwL87uaMzme+Hec4AbgD8PGgh9pNXbt/VE6mR94B+HnAT3ao +8m2Al6E/Z5o3NGe65ErAjwO+KOm0/cFlhTLlbV92/l2vxhwMwCHaNOBRAV7t +B4emZaTMPqrJa+vow89IVM8VwFuJn8gnPCutBN8C+Gd++r1yB+C7AL/FJ31b +GbWbEeeTl1A/8GRfDXr08gfsKWDfvhOeu9SfkzoBn7dtxm0zl12XT8Hn5UHy +sw6eGybsyP3xn1+WkLcE37oXS4fh83rAvb71daKcpifGJ++Ua4m8qqdRpuuF +/mC+VQD+aYea/ze9j2ISah595T3JDfjeIPvrPxPXzVqZ5JbaAd8TZN2l9tyF +dxddlc/q6N8KeDfBaf5Puf/J5vIlCel5gN8p+ctfBHw7yDct7sr/eVmPVAT4 +JaIfef4Q8KnqPtWVR39w/44D+Q2AXyd6YP2Uw0QP6FWKCB6vxqOs9a8D0hqQ +h89Bf0w65qcM8rjej49dMH195U7cB5A//w7Ih1L/+ozxaf7gvi4n+sk+oHVe +w/XkEY+D/UHzE/XBvrLjOo3x7fv35fog+g8QHPMW94/aH5wS3Ud0X+CzWp+O +SpgnZTq8AU/K+vSfrKh60SWdIv5nvB4/ZPaKBuwn9sT6zmsFJQ0y9A+lith9 +IE6tx+iPy89/t+Qk+HV138uIO4mfLSRe7HdOwqev7lbeXhaMT8SLNhfsH/ba +eakZ8O0E/wTwvElbvv/YpE9k6HPKDqLHofYTGfW3ELvYl7GPXu5eVO+OvSKX +Ev+3jZt4r5To0vI/9ZmZm17p75u4Pq3EbiH0MbTrJnaxXkEcysm/z6qZv6JN +xjpznOAK4MeSx7j+VdImHyJ5hf372oqZnndfvyodw3WB/X90TfqMzr5Yx4Yg ++xTxcqj3iMtwfqD7HfvdKeh3XYB/DLg3e1xt2gWXjH0E610O1CGswz3EH1rH +aF9GP+6Bvo398ZKOHuyXtqnfbVnTv471QfAF68vPPnTqfECfXUf0x0D9/B/g +KWPuabwv0SNvBPkCwE+PzM1ISfRIfYDj+ewfZSd/MPxKG+av/YX4Xz/320wP +nhu0cwvGOxviRf6LiD89hOcNHWpdx3wOVp9pP8L1zYvzX99zgL+d9vK05f28 +FQfhH9cPzr8StUvzCnm/rJ5rtHXBOrZl47FDn097S6tjFUO3PlLgdQbUvQbi +D563aR3DfZqonosk1HOQ1I1PST1sBHykWj/x/K7FVQOfY30ugefYVYtLVo09 +LJ/R8RN+zt7boZ7ToE4pH2G88Pz0kV88sCrJLZ8g+w71VBB/oI4oIGcvxrhy +up7btbxP8pD8wZ/DfHgQ1o+e3/A5G3hAHNcV6seXffnk/gkpU6/J9PcpvfzE +/BlP8gd/D6LnOr3+4p+HMQ7Uk60TF91fl4gevX1Ez2N6fKKen8E+RT05OvV2 +MzzDeVDG/Y71U63bMQ60W97hf/6k9QF/L0R/vIBP++Z9edP76xXY086NuD40 +XjyX4v6KrfvTiCVZe2X8PQbr8zAfXiRReezfi1q+17H3+VTpXcBToH8t+Wtt +Ve2MXjkX8Ekgv9WnL87xrORfN1Q767S6gX6mgr45gOO5cCj4Rc+Nm+Dz//rj +N/3vIYz780w+Z3mWj2p5tst22S7bZbts92bkWQ/rYT3i6GHcWjyHO3+C/f8U +44wPBk6eFbP9sQquxxvzOTB+oo03o/iJVN7CzQ/zxnyKzJvVeRaNH6vwLFq8 +ovEpmv+i8Saan4wzzrj4/doqOPNpLG/MJ+9r5kec86do8YrGj9V5M4sfq/Mp +Gj9W4Vm0eEXjUzT/ReNNND8ZZzyScLPqvFF2jfJTNB7Cvb7h9sfqds3KK7P8 +DPe6sP7B8ccq/od7X5hlV7Q6ZpT/jDPOuHVx8hy0/kyZbdsx9s1LMp2zFKqe +UPEq7x+kJ79+DefCKJWDZNfqOHn/P2g+4ByeC/vmTH2xqkHCeXqftfxu+Ds9 +1QHz1gbaX9Q5dt/YZ3TeanOFNv2q6aVMlzZfxaj9gnMqzlZf7Sz86XV5843i +Wjp6cjA9OOdh5a62+AMLG3DOhH1e03xnb+1ZbW5PnRE8L00O6k+o+nFu1B/f +/IJnjzbXy+h6peZJV+lA9dQTvPYmefuq/BhVb83qCzhnZ1SPWnc/thhv4ebZ +6v4bFW/W5+WPLcnplumcQD09T6t1OWDuop787kJffQmYI2R0XHSu1L3nbjx3 +KH3Rjedn6tUrvfqjd44KdT8m99z4XKTX90Pt49pcuxr/fqfXp7Y7Dv2zqH6t +Nse1jvBM17Fyd37qnvEN8nuAe0i8BxwfveCZUKOdQ1R+L5dSPX7z9/r7b7C5 +eT493amTqZ7pFV/4X6zNm8W5ZzivbCSZV4bzjs+1v6SMvKVVgnlq9jyfnkbd ++Vc4twrzCtcjz6H+HJ3DKUpfsArOvBnLG/NpLG/Mp7G8MZ+Dw2e08WwWn1bB +RVuvSMVFW3c9nHmLDD5F48EqfIoWL/MZGTjzKSbPovkvGh7u+sA444xHT/8V +jR+r8BltPFg9LtH8DFWPaPkQ7njDzYNovJnlv2h5aNb6miXP8YqZ/2bti2jj +gXHGoxmf7Hvf7J2A976InOHnjRPLq2cW/3BIOtwDrcRJg2M32nCz8+35t1fP +vzW/eMDve+vhmK9/WXyXd8+26oB7Fb8qD3DPqrK2JKPwjZJuvH/VtHMFxltE +vl9g1rqHavchX505IiOvzUHk8R7SyfbEkt8c6pXoPcuDHVe4cT1/pvl4uxjw +3mmoevAe3m95VX0VBvMjGp+h+mlWnojmjx7e9qOk1mz34TS8Fxrfe4fvI5VR +ec/Dux+/4ztDAnCj8qeOyON9N1UT181ameSW2uHzPYDHxnfdmjzihPaePHyv +TLu/+ynf+91u6UNiNx7u54Vzir3J4Sen1ATxXw//5d9qzoy+ulO7jxjqu/04 ++i33/X5uVrtMvxdJ752Pvz1zWcL0D7T381E/Pddhf4T7smW6jvU55y6+5e2T +VgOeAOcxfB/+KddrDVPyy+RGEpf6/v4o7ftoeu/np+vUf737wfFeZzup/3r5 +oFcn8XsE6vc/vryHGu0uJPUQ9dPvv6D86KxxtWkXXJp8AeB33pGbkZLokfoM +rp9G7Xez6oxV+rVV/IxU/6MtLsYZZ5xxo3Cz6ptZ9dao+m+U/2b5wzjjjIt/ +rmN+OC6R4xLNT7P0GxWvWXxaJQ+t4mek+m9WXFbhgXHGGWdcDw93vQpVv2j+ +iBaXnp5w46L5Y3Vcj8//Az3aMTU= + "]], {}}, + Axes->True, + AxesLabel->{None, None, None}, + AxesOrigin->{Automatic, Automatic, Automatic}, + BoxRatios->{1, 1, 0.4}, + DisplayFunction->Identity, + FaceGrids->None, + FaceGridsStyle->Automatic, + ImageSize->{294.2239785689784, 187.6659249155888}, + ImageSizeRaw->Automatic, + Method->{"DefaultBoundaryStyle" -> Directive[ + GrayLevel[0.3]], + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, "RotationControl" -> + "Globe"}, + PlotRange->{{0, 1}, {0, 1}, {0., 0.9999999285714287}}, + PlotRangePadding->{ + Scaled[0.02], + Scaled[0.02], + Scaled[0.02]}, + Ticks->{Automatic, Automatic, Automatic}, + ViewPoint->{-3.1715293421727835`, -0.25017054560108054`, + 1.1527429591416833`}, + ViewVertical->{0.3396118343804191, 0.02678861480793612, + 0.9401841160461278}]], "Output", + CellChangeTimes->{3.885879649303009*^9}, + CellLabel-> + "Out[105]=",ExpressionUUID->"41c51fb9-6304-435d-9db4-60e17ddb5833"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"Plot3D", "[", + RowBox[{ + RowBox[{"g1", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"{", + RowBox[{"y", ",", "0", ",", "1"}], "}"}]}], "]"}]], "Input", + CellChangeTimes->{3.8858796581481123`*^9}, + CellLabel-> + "In[106]:=",ExpressionUUID->"a9662344-4fe7-40d5-9f48-de8185e6e569"], + +Cell[BoxData[ + Graphics3DBox[{GraphicsComplex3DBox[CompressedData[" +1:eJx0fXlcTc//fyFLIUtIIkuWiIosedNItmvJrmwphSyhkCyJQrbCtSRCJQqJ +LJeUVBQq7fttuS23PWXJkqVf12eeMx79Ht/+6THP19w5c55n5rXNmTkD1m5b +tK6VnJzcc0U5udbN/zeNMvQaLHhIfM3uPj2mvcNQcahAa4q+iARV5DRpCqIZ +HnhXzaiLewzRfK4y5qltPMNNHjhuTjFLIokxQx9pClIZHr6g8F2IYTo5MSom +wVacyXAh+brKyimbzPBcWyayFTP8tqb8NiebPLLmceIpTUExw8/OyWijEyAh +L2yu9hYISxneyls3TsuxiPTpu+WWrbiM4Ys+dl1Qb19M9qRMHCPUrGT4oTl7 +Lrp4lpCsIx0iRbbVDD99Z/1VibSUjJ2YPVcsqmW4U+dca0XzMnL2w62cpqY6 +hs/anVbT1FTOyuCvJW/ALfOWxSrovGG8AfffnP7Uc3Ey4w34ijV2Sj3COW/A +FwhaFTQmc96AH9Ny0xEIOW/A5U1UpSrhnDfgRT6iEw2+nDfgPt9z631DOG/A +ydIjvdSqOW/AI0RP/qw2kTLegKNd8AZ82bHAzgJhBeMNPGFcoR7wlrwBH+hc +ExrbyHkD/t229TxHgwzGG3DlxZ3XCDVzGG/AbUZ1qlcJ57wBt1uwMqYxmfMG +PPLmpDlR8Zw34PVNN84urue8Af9jfvZSiGEp4w14TXQbC7GI8wY8dMSf8mSz +csYbcGsvJ91/xzH4wLwDb8AxrvB74C15A35x/wUPsYjzBjxxlZpEy5HzBnzm +mHMPJFLOG3DJoms3JVLOG3CfO9FK7g2cN+Ckne1oBZ0Sxhtw/B68AVdLWhxl +plHGeANuOvGMln4m5w24/Z1Fi8QizhvuG3oJvAHHvANvwDGuGC8Ub8kb8FPr +h1hGxXPegA+Z0NsuSDmf8QZ8wdKiI7GNnDfgzvdnJZhpFDPegHt0HpcmsuW8 +Ad9vf/uyTI+BN+ACsd/ATDfOG/CGWQM3ey6uYLyx64YN3akpqGK84f6gt8Eb +cOgl8AYc8w68MZ7ouML1gLfkDbjC5Ot6jgacN+CRpprrg5SLGG/AUQ+8Ac/v +0bTDJojzBnzi/id9HA2kjDfgu8s/ui6u57wBP2f6OKgxmfMG3D3h1wVbMecN +9wG7Bt6AQ2+DN+DQS+ANOOYdeAOOcYV+AG/JG3DdFRtmCDU5b8ANQ5fMk9lN +8AZcu+9bFZn+B2/AfxyJ8lZ257wBv/V5ilSmx8Ab8NHrZ3xYbVLJeAN+OT/l +qez36Ke8nOxPQq6vujPE0YD3E3jfiNxO4d68n8D3aZ59Eq9VyvoJ/Nnp930D +JLyfwNObTs8wieL9BJ68M1snKp73E3jg3zL3G9Bf+Cd4vuw+qP3F8wUO+4Ln +Cxz6E88XOPRDy/GN8Q8egeP5ot/AW/IJ/He0RaJbLOcTeNyIFcucbDifwB28 +cq4Z6pcxPoG36lgYEK9VwfgEvtV1k51Mn4BP4KKmfT9nCWsYn+gX/DrwCRx+ +C/gEDrvc0n7A7oBP4NCr4LMlH+ATOOYF+ASOcYjfAW/JJ/DeYwZ9GxXA+QQ+ +9oZUQ6afwSdwXdVRHWT+EvgE3lH466FbLOcT+OsuC/sKNbn/iuvDH27pn8Hf +A5/A4c+AT+Cw1+ATOOwR+AQOfQs+gUOfgE/gmL8t9TfGIe4TeEs+gX8J+ugj ++w8+2bjWdNoU28j5BH7Hx+NLlXE14xN46oAh5N94ANdBHAE+gcNPBp/A4QeC +z5bPH3wChx0Hn8Bhp8AncOhh8Akceg98Asf8xfWBYxzi/oG35BO4h25CvLFV +JeMT+Kz7/ceZRHE+gReO/mmhKfjA+ER7iL/AJ3DEF+ATOPxn8Akc/iH4BA7/ +B3wCh30Hn8Bhv8AncNgL8Akceq+l34r5Cz6ZvqTjELwAb8kn8LIXD3eHGNYw +PhkPxskutmLOJ36HuBV8thzv4BM44g7wCRx+NfgEDr8RfAKHXwQ+gcPug0/g +sLPgEzjsBdOPFIfew30Ax/xl45jiGIfgC3hLPoE3LrnpL7LlcT7kiPfBJ3DE +s+ATOOI18Akc8Qj4BA5/G3wChz8JPoHDXwKfwOGfML+E4rCz4BM47EXLeB16 +D3wCx/wFn8AxDsEjcPApDW2bMETgx/M/ci4OOW63WBly4P5z9HaIRfnsdzHn +X3lqCgqYXwP83c1NLp6LJQxHeyOlyxXNTSTE6jw5J+sX6o+Ou/5OZMvjRODJ +TS+cNAUV7LpFTY4JT23DiL5nW0dFc35d4PJDT9krmkvY7/E79BM4fod+on+o +797dLyDEsIC1CxzXBc78OXpdtAMc94vr4r5xv6gPfGar2AfxWpwH4IfyT48V +i3gZcuDoH9pD/1EfONpHf9AOeEa93GRPPS2BkMjftEwKDLnI6u012iGSjZvX +AxQO2IrrCOrhd6ifdvNSqK24gMmt4ormCDULieq9MYMEQgnDL37SVtAZKmE4 +2tkWPSxAMljCrof6L3wMVopF5ayM66B94Pgd6qPM5leL/uP66A/aRX96bMo5 +3TCgkLUD3PfU2+2e53h/0P6psFljhZo8DoUcOJ4X9NbvHlI3z8V8PANft35f +Y7IZ52eIp/jhVrGIjH402clGm/cT+JU5rScp6BTyPCa9DtpfddKo6ZntXfa7 +phOfXsVr8fq4Pq6L+rh+6aKxUfFa/DmhHfADnPFE+cF8wbhLDW8dbG4SxcqQ +A0d/IHexPKvzXusZK0MO3Gbh7t5bxbGsndGfrq7uEZ7AypADh12APOLLl2Ny +cm9ZGXLg27suHyInl8zamSN3uM1T2zRWhhw47AvkkmPfJ5qbpLAyy8tRXHvv +VyIQprN25L/0N9PPzGJlyIHDTkEudTXXcW/IYGXIgVcUn1suy/egnQnpN2+7 +eIpZGXLgsHeQb9kcNMC9gf8ecuAYZ2jns0+3H74hBawMOXDYTch3keKu5ib8 +95ADx7hEOxiPKEMOHHEP8IudrRVl8SbKkANvGZ9n5cf3rDbm9ZlfSXH4uWgn +bY+PvSyeQhly4LDvkG+JuRFsKy5mZciBz6Z+DdpJ/FCxUvYfZciBw0+APFLk +9sYttpSVIQceOMJvj8yvQTvHbSfHSlUqWBly4PA3IE8P2W1poFDOypADbyvZ +3lbQ7NegnVZfr4bI/EOUIQcOvwXym6Id+108K1kZcuCwa2hnwjHFflHxtawM +OXD4P5CPjdmnauVUw8tUDhx6AHrmelbpAqLP140gB455Db3Rr/0PMtzxPV/P +oHLgmKfQA6nHtl4Qi7jegBw45h3mteret+13KGazMuTAMY8wTyWminvFIj6v +IQeOeYR5N2KgfqVKOJ+nkANvmcd6bDvtiounhJUhB45xztbBFly0N1Dg+RnI +gWPcYl4UTvoS5xbL5wnkwDEOMc67jTH3txXzcQ85cIwrjNs2Y9L/VBnzcQ45 +cIwTjMPHk5blNjXxcQk5cIw/jKtBC0rHBSnzMuTAYTehv+D/wL7CDsNeox5w +2GX4Afgd/AHg+B38B4xLPF9/L4FZvX0BG7fAt6gOs3GyKSAm+ko75OQiWfvj +O6o8NtQvZO3guRsE3lvrZMPzq8CvlntXGVtJWDvoz8HuMwwUdPj9wF9aMiYo +Izo+hOG4j+QT9W+VzCNYO8DXb+icL9SMYbji1cBTAuFrcsv50pJjsXEkVmHG +LaHmO4arzDw5eIdiMsNdtpa8FIvek12CaRaZbqnk+ubILULNFIZ/m7E711ac +zvDfGqd/iJrt/WWied5AIYusTF99VLbuBNx8zBx3A4Uchoce0+4uJ5dNpg6s +ibEV55Jek39e1xTkMnxGx3aGmW55DN/18Z22bB1iy8crDfaKBYx34A9T7tQY +WxUyHHyeyvQ6qymQkFntrmwUi7hddIxpUler5riDZasHMnuTKgo8Jsvf3grb ++LWpqYTh1+6cTxfZFjM8vUfKJKGmlGT5vJIzNykhbbZPcNUUlDHcxWtsp2rj +UoYjzrlyvuqHLF+0VrNdF1lcDnywsDhWZFvG8DMHti6TxeF9hX13NviWk8js +DG9ZnA3c7fwVebXqCoZ/GD25RBZXm3ut2iabr/3c/bVkcTPwQB+LFyrh1Qyf +W660XRYnm98JqK4yrmXjm80DOv6BY/xi/GMcoz7GOXDUxzjHc8F4xHyB/cC8 +b+s3UOmADR/HGP9vF1X7WTuFs3bwu8q7St999QrZOMbzTdxh0uCrx+c1/GWz +2PJL1cbcH4Udm5Y3dZ+cXAJrB9c/VNHHRU4ujtkhXNewLrjYVsz9TtxvzG6v +HULNNDZP0N4iOYGpowG3T7h+annKV5FtFsNh96ps9wQ0+Gax+YP2yr9v3hwV +z+0Wrl+VkNc+xYz7kSx/s8AoR8tRzOYV2vuT7+AkFuWy54vru15LUg335s8d +djJM42N7nQA+39Depfsb3WMbud/J7OmIbmMy3fh4gP3cXzPwrrI7j+PQnqHD +2Qy3Gdw+4vp1J5oM9DO5nwq7Gp2g5yeR8nmL9uZmHMiTnud+Ka4f/vl7lJYj +90dhb9+K5qoJhHw+oz01Q0dr8ThuT3H9Wev/xIlsud8JO3zyzo7uAqGUzWe0 +d/OBk62NNrezuL6wWHmpLB4HDvvcOfCWu0RazuY52qvXPv3t1C7uT+L63jYj +LTwXcz8Sdnv+fekxZXeuF9Dej4dBrQTduF3G9dd+X1Yj0wPAYc9NInUVMt24 +vkB7UVMzPbxb1bL5iHGelqCp7WhQyMYB5svciNlvZHoe4wD49xFxyjoBeWwc +YN41+mTNsXLieS60h3aAoz20A/2C9hKLOzxWdud6De1cjuluo6EmZjjLr+su +SG5MzmP3g3b8NCeph3vns3GA69/+3n6YbL0S4wm4QZJBhlssty/o1+aV1YXS +83yc4/oL9tt+Tzbj7QC/nbL/ia2Yt4N+Ld3fRiXcm+NMX01M/Tu/0D70ktPE +/85oCvh8QTvd2uYNFHTj8wt6Un6Xv6mGGsehJzNEmS/jtXg7uG4742NxWt+5 +38Levzrw5OE5zVA2ToDPq250ttHm+Ra0kz7k88o1Ji8ZX+x9JLlpVU42b1k7 +wI9sUd8uHlfIyrivCfGZkxO04pk/A70a6X7gp5ZjCitDr7b7EGWtcJ/7Oew9 +mXavmqQq/L0Z6M8vaw8GNgzgfg70pNi2Tn6HYi4rQ09avR5SJarlfg7G273I +1q1SzHi8gfG2rNsTLUG3AqbvoN8etb1WZz+bP3eMlx3X8jxkz5etf9PncyHg +hblTIPdnoK/8Z8Rck0j5ejD01bhFlSYaK7g/A710/nuojn4mX9eEXrrYdkCk +2Rruz0D/GD9+bqShxuNh6J/Hr60faj3j/gz0zIM9b9J9Q/g6E9Nbpx4PFlpz +fwZxQ94sSUWYN49XoZ+0zbuoCa1rSdWihDyRbSHpuHdbR3m5ByRg12+if7GQ +2RXYTRXvUxMy3QpYGXLgsIvAYR/hl2C8wz/HOMb4hR+OcYnxCH8b4w/jDn41 +xhnGF/xnjCc2jqifjHGD+QF/GOMG4wV+L8YHxgX8W4wDPH/4sXjeeM7wV/Fc +8Tzhl+L54bnB/0Q+FM/rsEiv8ZbkAytDDhz6CHxXkgWTRwcEsjLkwPF72DGf +OL/Sqta8DDlw8IV2QoZXtdMZWsjKkAOHfgcO/7OtaqdZsvWHD5tyNIWadaR/ +wcJWCtt4GXLgi/xSrcNsr5CYP6G/RgpcyBZFv6kOin6sDDlwjGfIR0vrBwuE +hQxH/eU9Glw9z/F6kKM+6gFHfZThh/d7/+Gr71m+jgD59N+fltT/c13IW+Jv +izsOmS18TBJvyl9z8eT44Tl3iMweNGQo/Eq+xHHMm6IXrd9rXeJ2ATzDXvgM +9JduE99ivzs4/UeR9Dz/PeYj4mK0Axz2CGU857cpH2f9SuZ5dsiBY/5iXiOO +ht0BDjuFMlsf098qEghjWBly4NAD0A+Iu2GngMN+oQw/wSiot594HM/LQw4c ++gR6BnE67Bpw2DuUoRdrh5eut/rN8/KQA4degr5CXA87CBz2EWXo1z4XL2qF +q/O8OuTAod+g95AHgN0EDnuKMvy9hFrdKun5PFaGHDj0JMYb8gYoQ//LjX4U +KFnH7QjkwKFXoW+RT4BdBg57jTLilNqlHccr1PG4CXLg0M/Q28g/wI4Dh31H +GX5c8M+Q9WIHnmeEHDj0PPQ/8hWw+8DhD6CMuEbnrlUvwSKel4QcOOwF7Ajy +G/ATgMN/QBnxzlbrAQKTQzyPCTlw2B3YI+RD4FcAh7+BMuKgLUOrf1a15nlP +yIHDTsGuIX8CPwQ4/BOUEZ8N+xKpo5HL86SQA4ceg96CPwy9AbnCuqV+OgHR +XG9SOXDoWejho3k61glaUawMOXDoN+gz+M/QJ5D3ODckRD+T5zUgB27wTTlN +LIoh4qlGM57aviK7lN3GXHVJYGXIgUPvQc/BD4eegbzn+5J8WzHPg0AOPOTt +7LZbxYlkscr+PQJhAnnSybTJbUYaK0MOHPoQ+g/+PPQP5IMmq1sKNXneBHLg +Ku+j1eXk0kmZ/cpMWT5o9MHUtUL/LFaGHDj0JPQi4gLoJcgfe00qdovleRvI +gSePtRgnEGYTP/H3Oln+aHTh2Ne2K8WsDDlw6E/oS8QX0GOQvymeZmkSxfM8 +kAM/de33fKFmPjGfdrGDnFweeTL80CC1zQWsDDlw6FXEMYhfWq5Ttkqca6px +mcc5kAP3d33/WBYHQy/PXLTji68dL0MOHHoYehdxEPQe5Evs7t9S7sTjJciB +t5rgbSTULCFVJ2z6CYTFxHLn48UauUWsDDlw6GfoY8RT0IeQW/frt9szjeed +IAduUbMpUZZnmkXG37UVl5KJPvL6+hdLWBly4NDb0NOIy6AnIdfPuPRWVMvz +VJADj6Dvidz6rDBBqFlOUjJWXJDclLIy5MChz6G/Ed9Bf0IefUHjiu1KnteG +HLj60vYVTU2VpE1g+muRbSUZ2iNyt2aHClaGHDj0PPQ64kToVcg7Wzz8EKbO +40nIge/tkLVTU1BD1q66sVAsqiaTzPXETS+rWBly4ND/0PeINxFfQK6qv/CV +rx4vQw48+8VNeYHwA4nsYl/Q1FRLuoQEv7SPq2VlyIHD34X/C78XOPzVc6t/ +dnG/wP1vyOGHQ+8Dhx8OOwIcfjjL61E/B/k92AngyMMYPp65PE/0grWj3lZx +hcZlHoej/4U2pbvk5USsDDlwlHEf67qva3poGE6cPOxDhZpR7Dp5ey1Pycm9 +YWXIgaMM+2MR2yM5Kv4daVhzr0ZTEEc87xaskb3XMmxesnZKdjIrQw4cZdgT +xa2anctUUolI9ctpsSiFHIs4JRAIk4nVO9OuO05ksDLkwFGGfdggHTw63DuT +2B86e1tTkEmmDR1uJdTMIANHv/ksPZ/DypADRxn6foZAeYmVUy4ZVTXqlczv +ljvzZr9YlEOs3Pqla33PY2XIgaMM/R3oJfmr7/H8wr9bX5S9Lzj03eqHho95 +GXLgKEMfz6hOmCXUbPZX8/V/NjUVkXBd+WyRbRHpu/bTI9s+vAw5cJShX+sV +49/I9lmMFrY+pikoJWrSJGuxqIT0PB6aJrpXzMqQA0cZ+nK5fsYbM40ScmZG +qopAWEYcva59bGqSksTQUzs9z5WyMuTAUYb+O7ShepaGmpR8aPTxtRVXkMx5 +tgdk7wvO+LL5ovL7MlaGHDjK0Gc2/p3mONmUk7n3t40SalYT/VaTlATCKrJv +gqmBxopKVoYcOMrQTx2r/0u0V6wid6wMw0S2tUQoUrxkK64h24+arI6dWMPK +kANHGfpm+38OqU1NNczewx/LU9s8y8qJ+wnwl+b0DR4mEPL3AvH8kTdg+zzp +79AOfg8c7cAfAo71JugXxLPb3Mf6hxjydV7EcT27Xt6paM71DPqDvB/0AHDj +cZ2f2V4pZO2iPbQPvYR8yRf7MNP2OveZnoEerdDeZLNc4zXTG/Bvey97IhJq +JjE9AP9zmLaN3FPbdDav4R/Geq2+0eCbzeYp/LfyzxOnKejksXkH/+rERLkS +qUohm0fwf0r3DFetfiVh8wL+ydZrwaYmRsVsnMN/ECUYqgq6lbJxC/v+oo14 +uXhcGRuHsL+uM1zVFe5XsHEF+9heON4idm8189+Q38D7DBgnyEudKzOVXIg9 +yvJUbJ23zN6hXHqJvS+KvFnZK+InquVl5PEm7FQ63XiQv1eK9tAO6uF3qA97 +ifEAu4lxAL9774Ljv5LNOA7/2drOTzfA4h+9R5+LnNfyJfUPOY7xAjuIeAnt +DRg5skJlEm8fcuC4H/AH3tA+9HaOzdKvviE8Dwn+wBvqYx5g/MPPRlwTeKd+ +qpUTz3sgD1Nw2vGw52K+roffYZ2X+Q00Dm3/od0IR69CxiPaA5+Yt8Axf8Ev +8JY8Iy6pPWjaHB5z3hCfTU3a0NHchOe94b/gfQC0A39g0/puPcO9efuYv2cv +9typeI23g/taXmIkFo3kcQee7z3Z9qOeEjZP8Vx63vn8trEL7yfwk763PBos +efvgo77H8d7VxryfsM8PJyy8tPhB4f+3Pxbr6fg92kM7KMNfCzCe7blYl/cf +PKQPuBmvpcrjLsTX27WSFtXbcxz6u2NVYZyWI28f/Ldt2CZVmcTHD8bL2wdn +n9mu5DxDz51sP2+iwn0+DmEHpm2WD/N24e1jHPk9ObjaxIjjaP+d9HCY91QJ +ESmeeKj+5gHLn+j/KrP3TQglg0VJS96F8rzyvWkh2x6+LySpmc6n+h+LYvwc +m936pmvwW1Yf+NNpzlb6yYVEEPj85cOgOGbf/uzWm6F9PoVIwvfu8avg64b/ +jX/3tFwrk+zIuRv1q7kd4IbV1uGmGYXEe7Dqueq9mex+G4tnDd2pmsvqA39y +sG1uVlYhMfN4EqTfScye/6R9D86nrMln/WTr6tOejp6Uy8ujfZT7GySKyeHe +zlbnruaTtfT+Bd2HX5cfJCFvNjp4d1eUkEB6n8Bd9WfeXawkIcdoP94ec1ra +pxlPzi753k+5eXzqfN9WolpMLGh8Hf5zdLb/3CIyszT2V7u1pSQC+6Lk7fWK +aorJzUsXjmvf5euJW7q8UHoiKSWt5ln3XPilguyl8aOVlsqG/sPKiYX8mBu7 +JvP4TnXubuNBrypJ6BN53ctHa4kujb8OO5b5vAipIV/2Pb88JbyQvDAqnrdO +IZWE+UpXX8wsJI5OW7NbN8aT9O3LtLo39/9QTaXgXkcJ2ReQrjDndCrDVUJ7 +/ajtJCGm6/M+VQb7kO2d9G5aldwgQssS9QGLgoh6ZskaL5/n5I5WZ4PMieHE +3ui52sNdr8jhcO2Sgp2xZE5Z1PzfRm+Ii6tSldOxRNLovqGnnVcSKV55IGrm +mGQyb/7F3F1D0slznRR/+TXp5NrrPuIzMelk5bvOEU6W2WTXpa0Rsz9mkxUj +Q7/kmOaQGp1t15c1iMnXy+c2jz2ST5b8Stx7qCKffHymHt+/qIA0PE53/KBY +RNY3/eg+zrDZf+7Xdr3jHQlZuvGGQvclJeTNo7c+K9xKyPbwWQq7NYvJ4772 +wvFXpWSwjedI52QpOWjtObjTpxLSPXWKxqqycnJEff3zG70ryKKen2Indi8j +244qBx3UqSKFyfoz366tIuIUs8omtwoSP7Fgwk3HGjLlSOv0mrs1ZLhn/KlV +C6rJFYNUi64NH4h2XVDMu6gPZMz62SELtvAy5MAxbkvoekvAtLhddgm8DDlw +6F/gD6dd2vg5sfl5jxz4pGRJHTFY+vrp8aN1pJ1b+pIzpI5cnvV85XGrC8Tg +YVVn4WoP8kDPK2PZkGtk8qCYV0+bn7eSqZpyg9iO3Jk4MKlHBwnDWx99fPpO +Jx9iat3T4GwzHrDsf/UgR33UA476mD/QM5hfqFcnnR/8Y/5zEvN+7LusZjyi +1qz9jcP+TG5Zp9crtLkd0z6BcxxCxKRdtN/DwgESst7qmVxB87yrOPPy7/3D +T36VeUHbSVxIlMuj//oHtZqX/s7Tdau39Mptz6+7T6XHvg0jQkjn3kMO6f/T +H1wf1108a8PTkvWPmFzV32jNKkXeb+Dof+uHx20mlMWxfs648Kt97+b5ldzb +r2rXyXBWP9FsYUBTc/3+wrDG2X/yGf5xw4fdFl0l7PftaHtoZ/vrtYqn58ay ++qPHL13eryPnGXpux5oTZYu78PsarBBQvXlbPqnIS/Wa0JW/l/I69XZCnF0w +0Xy48tClS0+I/Y6hCeuWP2H5j+eVu49vqePvnwybsa6sTVQk+b3nRpRrQizR +OWnSe3rKK+ZXnHpK7i/cwtfnfHr59PaUviPf9uhfH/UymQSuOj43q4HnuX1v +vzsx890/6207bW+pHEkh9oOcV9ZszyBdexW/1O+URv5QeypnLf5v/NgssoL6 +YTPzFSNX98ok20JDeuzbl0MSnJ1znK5nkefUPhYqZlR9+9HsB1B/QGFGYM6t +27nk438J73ML8ojvsNVt26/l9lPh2mf5xXP4+wERJ+2OqpcXkUPtL1T1UC4i +8vkjzmnf5flRHe+Nz/OD+PskfadM6W6kW0ryLu3tt9C3mKw+26ix8At/n0TV +v/pzk2UJkafrQA5fOvus21NG6kdvSRvkVkpeTH8XtGsyz0++fLInOHRTc3xC +13WyAvO1T0RXkLjMjR08IstI70ZPg8tH+fskg1O6Vym+4e+TjF8dFBqs1Bwf +H94ReXpeJXEMXh8bkcTzf7O/ht767MDfJ7nQdd+MtCW15Ol/x78PG1VDMtaO +XVyiyvN2IwdvKd2xt5a8NpUPzGmed8bvx72svnaPfB+nMn1as/8AuzM7+vrv +sQ3x5OCtR0H26c32l5YhB14osFUtPZXKcPOOBSoFzXYqIr/GdsgTMTkausvx +zLNmP7vDrz5hOYVkOB3HbhQ3Xl1aF9Js32+vsUmYu/ASi3say10b9f/zZWXI +gSMOav3C22vX5DoyLfJ22qk+vAw58Ff0frtcXmHl9v4kUbuRGSKKL2Q83Fri +EuJx9yIZ2DvxQutm/ZwQO1r79nE7Jp+gOMLQqrl+b/p74H1oO/g9cLTzxOZ/ ++k1w/tNffXb3e+Y+3eb66M+Yr5JFGdFPSEzB2i4TEjleb35gS7+lz8mDWgWb +7ETeT7UJmd3af3lK3i9Z8eVwM25N9TLsCPzA3YK55Oik2+x39ZHqlt+a+6Nn +lqYwrecjcrPNbe12+0PIxUFNxSn5z5kegV6BPpktv81rwrybpJTasT93Br38 +s4bX+2KcoxewMZAkdki+onjwEStDDtzDSXPc4/vR5M3i0+8uFEeRZeUV0SXD +3jF9BP0EvXR+0MhHkXXhzE5uvBAXklj9itUrn7a26ZtTBFERuz5PEsewMuTA +285fs3FGejwxGhz3a2i7ePJVseusKXEpTK9Bz0G/TbVKOWXv/YbFrb17e98n +HxNJDK1X87l6tIfVWzIoZnfXa0uSWRly4JO7zDPZsj+VrNrXSjW/RyqJ8rgQ +VGiWyfQj9CX05Gq1thYuFsksTil/fm2J1hK+H+Hh2u5jurxOJuT4BePBKhms +DDnw745VG550ziK9Sq/rDQnMJF2a5JUXTMllehZ6F/q2t+uNPfGf0lm8/Hqp +aZLrsWxWb2v8g7nLlzXHywZXdjhp57Ay5MCfFrkd+uMjJplzJ8/ZNlFMpCuX +bTt7MJ/pa+hv6O2M6innVI7ksHhHM//bzPs98li9Efom6/0qcohc1jHfW1fz +WBly4IbUPkLPXD9bXCTuyu0m7DPs8tklBUGre/H8X9uFByPu/iwgyTS+K/Wu +dq7eW0D8LMzf+2woZGXIgV9Zbrni7dpioqk86eVBnWLSteZITJvV3N7A/sDu +BBRMtkpbwt+L+Hgk5t3Fp9xOpbi8nnv5aBEp6dNp682PElaGHHhDJ93ymrul +5Mgrxbk3HUvJlNMmg5PkuN2CHYP9UjjXsf7bVf6+hLi7Td8aff4ehc74czkR +SSWkpl+H8p/7i1kZcuBLo//s6NpQRiS7c7LfRZUR3UmD2up9L2X2D/YQdnDt +TPF+9XK+Dnj4bs9P2QqlpGnb/+odq7ZcX6JaRh6M6FpUubKUlSEHHuLwXm6c +YSUx0g5c90GxkhR8am0z3Lic2VHYVdjTyJ+3Oxjp8vcrquemzFw9vIzVq7qu ++7nd2gpiMHXwqm0eZawMOfDOI7zdV7hVE2+Jw6duS6qJ4FH97LCiSmaPYZ9h +lzUeOF5ct4e/d9Htu2e/5gCa1RMsaXLWvltFDq6dbnZKpZKVIQe+qXCTmnNy +Lflxfrrz+Ku1xN6pMrgkrYbZddh52Hcn65mDTkTz/Y7fgzY5aG/95z3F9okd +F36pIUdO2WVM+VDNypADh78I/xF+Y87z0167Vz9j8g3BwVFjvvL9LJADhx8J +vxL+ZGlwKzmTxfy90fT/Tk2ZNJ/vT4EcOPxL+JvwM1cfnDxGsjuRuFL54BTv +1Z+101gZcuDwO+GHwv+sGjZpjEEilxdtF1/qfTKLlSEHDn8U/in80ltnc+a6 +WGQzef/f8qldpopZGXLgdjTf51Kh/jlWL4+QayLP4//oo1P70l/aLs0n2/IH +O8S9LiDbaX3T9+5nzn/OI14Wrz3nLuLvIcD/hd97Wk9xyolo7g//etV2wMJ1 +vAw5cPjB8IvhD9dKsxOClfh7Bbvnrz8f+Z6/Jw85cPjH8JfhJ8+5HLA8bQl/ +T+BBacqxN8f5ewKQA4ffDD8a/nOgiUPZt6vcrw5wFfxZ58XX/SEHDn8a/jX8 +6natp+9QL+f+trn2+y9XfvH9KZADh58Nvxv+tvXT7nJGunxdPrVg1ZaNj/j+ +FMiBw/+GPw4//NXm4lPr9nD/vP2V79aJL/j735ADhz8H/475ddSPhP8IfxL+ +In4Hv/Harg+d22RHM7vpFCF35WhSIdlF41P459ldK7c6JReyfBr8TOQPb73p +c3RDeQS77uVfgS8dk7gfe+63l+XMCwWkbsj6S01iXoYceAcTz67nBxSSfkua +RsjyV1fztfLWNNvr/jQviTxi7NJX17JSC1n/VhScHDZv0xtSPbT/iPfN/UH/ +4FfkTUue8DO7kEyncQ6u+43GOzGH2w+adyqS4X72Pjdimvu/mrYLfqpo+/Ar +Hq2MqZ/+PIrsd5nedZ+ShGgv/996xvfpnQfULHIkrdYmBo1aeoAo5sdOKEpe +S1IFv4xc+h4ivzcrpnrtPUqcb2rt+lZxkCT6rDh3fvYpMltB0zTmxjkixPlI +Hq4vIpLqSPRuD+e6z3VkraOutXo5X/c57th6W2QiL995Wjni8tE68uzK/cae +bnWsXVwH7aMefof6uM/N3h1SB+ZnE5sTN5M0s3nccd/r7eFt2XlkoHOv90pi +/nzx/PHccZ+4b9wv6usL4tMHzs0jah36V0bk8vUd3B/uC9d9S58PngvyKvvu +OG8I9swkg38OsTvcWcLGw63Ig2+e5aQT3/dXN5dnNI/Hh4qjR2pksd/t1r0x +N7C5Pu4T9437XavVr0h+Sw5rb59P3smd2Xy83R+z5VnO7HTi8XT9fc8MPh6Q +10E+B/d7Zu7dvF8Kr8k2tbqtocmcN9fam5Mu9oshu8+ULWqbwsd9GOVzm3vS +74Z/8lrvF2SbzxwiJnrDXi280EXC/F709/CfxPLezTh4Wyz98W326VwyzzKl +b3wOvy/8DvVxXU/azxXe9ksvKvH8VQTNP4992/WFSSd+3WDKQyfF83vudub3 +m33+18w/rXLJ9OocgwM5nJ9NlO+9Ox51+KQsYfl3rDuseNlL4Wozbwl0XQHy +Hgm//+Q3Xxd5wNod3Z/J5hnygcU0LkX+bGObzhd2dODnEOF36/uWLR3egbcD +OXD0cwXNFyJPiPrwdzb3fT9/czPuQPOP+B3ykIh78buNV3NS4zrw80zQz5TX +n2o/d+F5P9wH+o/foz20g3gYvxucVHDjkSLvH36HfkJ/gk/wHEL1F/oPPYa4 +F+0Xed1/+LkZ96X2AvWPdLKs81Pi4yGK5nv+e1Sg8+Kf+2Ln99B2kEfut+iT +86j4R6Ty+PXidVn8XJ6jjWN2aCm+Iv1XGXxcdInvc/sdv/VW2KgEorV+j8Ps +n3xdKiwxvebW7VQSo2hoP8mVrz/tHm/ftv6/LFJ6pWpzk1UuywuAn61XIxOU +mvuTQuM64MeuGgcvaLY7cvT9zt2HM9WNdCXkRrRZ/TRVCVsfyphw8/a6PcUk +eM4u18TNRWx9SL92x7gT0aXEseCqZ123En7Om+/UV8FK5aRpb6p2YCcpWx/6 +uLTrgrQllWTWgO7G31eWs/WheYqSvG9Xq8nclDW5hb8ryRi6PhQYEbxRvbyW +dDz57JP55xo273a7Gxuc0g0huUkvn3k227UwOm+Rl8P60V6qN4F7tesSK5/D +1ym+lk76rXXiGuk6eH37Bd3vsDLkwHNVez4IVqoj1vQ9wMubBfN3u39gZciB +Yz0D6xtY18B6BtY3sK4BPWb35n95OOTfgMs7du34pZcPaftwTwfTBF6GHDjm +OfJwH6/GfU+O53k5yIHj9+ZJE35EWD4ixdOfepe+5/UxzzqM8apZ1OxHxf38 +eXL5Xn/2u07D7GpvJPB1WazfYt0WeTTk1ZBPw/jH+i3WbTHfkQ9DHgzzAuu3 +WLfFfEMeC/krzBes62I9F/km5J+Qd8I8wrou1nORJ0LeCPkirFtgXRfrufDD +kO9Bngf6AXoR+hDzEPMS85GdQ0XXi7BOBBx5HeRzME+xrov1XORfkI9BHgbz +F+u9WOdF3gR5FORPMK+xDoz1X+Q7kP9A3gPzHevDWBdGngJ5C+QroAewboz1 +YuQXkG9AngHrx1hPxjoy8gLIE7D8ANW/GKfQwxI63kbmvZYGV4cS3Y1RdWO/ +RLMy5MB7jrV+0dbvKRn/Y1FgpoqISGIWZb3ZE8nKkAOHfsd4h57HuHUnfW9t +VIslAwYa5Bj0SGRl9h4RxVvV1Jy90PCadDexdvs96jXxMIxOWi+JZ2XIgcN+ +YN7AjmD8t+1qlvPTMIl0XDGlsO5zGitDDnzfi6ExQ9USyUmN689PL35PBr6V +K178K5WVIQcO+4T5BzuFeUTsBG3f6DXPN+WEpO7jslmZncdGcceZer9WXU8j +B7/XfO0yKY04rW6/YrplFitDDhz2D/MYdhDz8WdOmUaX19nkZAiJaJ8iZmXI +gY97kNjjll42MbQ80WVFYhYxL/yW1E5DzMqQA0f+AvMSeYwq1S06da/yyKd3 +Q4ffsMgjYfOSjK+MLWBlyIHD7sIOw/5i/oZmnNFa+EVCbv36tq/wioSVIQee +EXlYU/2uhCz3Kh7gsEdCXLe8EHib8TLkwGHXoT9g36EHVE+sEe2aXEKm/H6g +sqBbMStDDlx/1+KQKV+KSei8kODL0cVklNOzfrdeFLEy5MDhN0APwX+APtll +OMr48lEpudTOYZRZXgkrQw78nNZAw3WTpUS11cH/Xio1454vd850KGFlyIHD +L4E+g38CvZTx6VdSRFI5edBn5rtvP6SsDDnwj/n1ccePlpNdIpO3JUua9VlY +6pyDLlJWhhw4/B7oRfg/0G96AfGrSlSryGEDTemozRWsDDnwecKXpsFJlSRl +U9+l7a9VEv/KjzcWFJezMuTA4VdBv8K/gp48s/JyZbu1NUTNspPLb51qVoYc ++J0ZHqWpqjVER6OmSLu8urn/fZ2eXahiZciBw2+DHwf/Df5SrfJGB+27H8gW +YSsfq1m8DDnw9j9X2X2z/EBOpT3fulD3A7m7dknWU+9aVoYcOPwS+CnwT+DP +IL5wqgj51LXZzzGjfg9+B/8H65HwN7EuCX8I7cEvSvXZob3waDir/9Tq95zB +zfH7pDeLVCobg4jTfN2qY5LbJL2h65jhwsesDDnwvWeeeLi7hJDlCbE3Xig/ +IhNe9UuJznpOprvOd5xrFUnuxrmLbQxeEhW3Lioly2JZGXLgj70uNGZLo4j/ ++H4KdkHRpEOpYnGvIe9IxJITdwvc3pFEkbzvjKi3RPPrmCNaJ5NZGXLg2puT +R25WjCfqHZZPaJ0STyI07o74/jaF9Dm3dtuEZSlk0LR+m2o+JRNyYeaBh8YZ +rAw58EXXjjw40CuVzK599yRubyppDJ1g/cQ0k2T9bDp2qCKDSILCXMceySAF +/Y13dVyaw8qQA+/YblDcm9uZpM2yDUndO2WRZ1OCLxuTXHLe+qpf3N5c4t1j ++dUDvXJJ06Uhm8a/zGNlyIHHbYss6TJJTKIj2lSuut5sDx4pJfk555MuNC+H +vJ1RG/kpKae4nyz5rBMv/zufdPJ4rhn0T34Pv0N91GN+Mq3/hpaRh1C+03Th +uOz9mT41m4KTisjJzwKb9teKiN+O3tOC5XgZcuC+Pk4nF+oWk75vNTy+WRYT +tUsWu9xXFRHrpOffUlVLSUWAaoN2eQnRPn45x/V0MStDDvzPkrmqDnua/bX9 +H9TU75aS7g80q2fJlZCXrscPf7MsI8aryg8t1C0j9oFD6+vtSlkZcuDmHfrc +vBxdRnJ0XwRM+VJGElK+FF35Vkr6TTDrqn63gvh1EXV22CM7XyTSrSGgjJUh +Bx72olLvpVIlGS89qb9uciWZ+jt5+dGp5cS5Zsi1KV+qSOuYw1cuR1eRqW3W ++5zVq2RlyIH3sX8WUbKkmnh6rYg6frSa7B0duqh9USXJ82kYvm5yLVmzZ/Gw +l0q1JHZKr4kxnWtYGXLg9kPc5rS/Vks+zNMyCU6qJevs7iUMSKth+Vm2v5/m +aTMdwv7mRaEf8P4D8jz4Hd4jxfuZwPG+KPJveiPlNLML4sj0fe2bXqU0x4c0 +7oWeQfw78lLe/OzwKIYfUZrbq3dyIcsDIE/85PXJsnPNemkkbRfXQfvRDb2K +lmXeIK0PNIi+hvkQ9Zl/Ak9ODyKJV+Wz5uuHk3rL+iiNgOfkwdC0dW/tXxFz +n7B+zw3fkG2txqgMdIwlPhfH5ScdSSQ1E34Ou6WXTCrSbGc+9k4ic+v0AycN +TieBvpem1r1KJw8WLZl8wyKdxDmL1qy1yCbWiuNWTViWQ7aEfVxW8ymbxP3S +6LH8i5gM2JG2S/be5HDN09tl71HOW2/3Vvb+ZJ3ts5nrJheRHTN6Tn+pVERi +lUtOtL8jIXMGuqUfP1pCkhpLU0qWlJCCgQOmfB9UTO5kLrUMTpKSUfcfmbe/ +JiXPyGYH548lpP1JzQ+pqhXklJVLtXZ5OZm/PmrktW5lZB35vPebZRWp7LXQ +caFuFfG/OGj9ErcKEv05qp363RoyM0FDwWFPDXmWfFbDb341kbM227fv+A6y +/NzXDz/qj5AVTZ9fVT90Jx4m2gozJh1jcXefu+3fOl31Iq9GmAuCk+rIzDbh +M9pfqyP725M1J+7WkUzfi6nfrvL3eareJz5YvraOtYvroH20i+ugfbSL66B9 +tIvroH3YRYxb2EeMj9a75i/JH5hFOo9/8XNk8/hE3GpP1+uO9l2g9+CffOyG +G6P7PNmeTxRUX01ZI+b1MR6Rj8K4BI7xiXEMuwp7irgIvwuftn71rhS+DgI5 +cKxPYL0C6xRo/xCxNMx/JCbjt+/ctTm3kK1DYF0C6xHs/SU6zzC/ENcjflmu +szB5xz/5+W4VE6f/OZdJfvY/SmTviSHewO96NA4ofKQsYbwj/zE/+9Tf92Nb +Ud6Rt+9E+Y+j+XHgGZ9fr9mcw9uHPrGbk1XRqxmfRvMV4AnvmeO6eI4H1f3u +5zXj+D3uq/HJ2HjPTD4eZnZ8OPH8mVQyxvqA2CedP1+sb9v1fSwI+uf5An/+ +2l6S/s+6gKZB1n27jGhy6pDxz3XJ3M5+kNu7ccD8WLJSSxi7PIW3D35s82d4 +hCnyfP4rOk7+RP4wTvgnj419Fa5XVz1W/md8tq+z8jgzVEx0G/ef7ZfL+cFz +wfuo8ZRn5IGxHoH2EddvWz1RaZUS709fel8VSd5XtvyzviCg7xVeinMsnfTP +e7CIl3++q3ib1onn52dQni0k15V1O3M+8V5Q4etXT67kcD4HnxSGPNuUQ9Yu +GhU7PIePT8TFT8+HZnVX5u0r0PH1XvDyuoMyvy+MI5f84l0vm3Gsx2N9Huvy +2J+AfBj2KWC9H+v/WPd//XvV0k4j88nt4C/+pmfyST+b+Gcngvm5osjPyOVe +PekX8ppcpPvysH/KY+uFnzZB8QxH/TYrV01I0HpPttH8BepvT39P3BtSGI76 +B6R+lrLzebrT/XuoP6eqnaV+ZgbDUb/H0w0Tq42b+aPvOaB+5nfHItl3BoGz +84oOWdmbROWQlXS/EOpbWGg5KRbkkVS6Txb11VTsqoxvSIg/fQ+JfbfkTY6q +7Jx24Kife3fGTcm6IuJA9wOi/mK7/HypSjHDUf+ZqfvsqDnFpOV3ZW2uTd9h +oFDy/31/5sMQ3Tayc2nU6L5B1B88v1uOVKWU4aj/fs94j8XbS0kNfR8A9Y+7 +GitXG0sZjvpLFtyo8A2Rkgi6fxX1typlPG08U8Zw1D8oO5+zWznbH4p5N3vZ +/R5vGmPZeAB+S+FjR1fPRPYcgRe6vunuF8KfI/DSDiatZeca4bkAnyS629n9 +CX8u7Fz0+rBa+xOcf+B9DSc/9XbhPAN3uK92QfY9L/DGcP9VxlHxnDfWTt/W +0bLvTIEHdn5v785dBULOA/xP/Y1ns0IMk9k8Aj517/ofjcnJ7H6BbxZOOO+5 +mN8v8JrYe3a/3vL7BX7/vMEn3xB+v+z8Rc3aQY6h/H7Z+tV4hSEBEn6/wPsl +Hfo+aigfD8DLK9deUXbn9wvcTPb9o24V7H6hJ4/2JTdsgtLZ/bLvnFZd26+h +lsHGA/uO3NM/SzPdMtj9Aj/Q2N9UI5ffL/BP2cETZefW4n6BlytePSP7bh3u +F/jhyDqR7LtyuF/gb37cuuftwu8X+ENR9M7YRn6/wKd9m9pR9l4e7hd6W/Wt +pNYtNpvdL/DrC+IPBCnnsPsFPiTniXKKWQ7Te8DvWfr4NPjmMB6A+3iv3GdT +w3kAPq6vpmtsI+cB+LyPc3+PGsr1BnBFQe7MenvOA/BtmglrFQs4D8D3uw40 +ke2jBw/AddfndxB0q2Q8wL7U2Dg8VXbn58Sy/ZT3qpt8Q/IYD2xfyUeLWfqZ +eYwH4KKxmWdiG/OYfgDeuGdOjplGPuMHeLThxeshfzg/wPdaesXLvvMIfoA/ +zPq1UdGc88O+r5XyOlslnPMDXHX+x16OBmWMH/Y91gUuQ2XfRwM/wPtm7G4n +EFayfuJ8nlJJ8qvGLtxeAN82va2ZbP84+gm8V0RQpvQ87yc7r3TF/Y0GClLW +T+BRe3q+l57n/QTetW+xXLVxBesn8A7TuinIzivGc8R5Po9qlbUcQ3k8ADzj +9Ox5UfES9hyBf9U7YqdYIGHPEbhq+ssLi+sl7DkCn+jQGOrdqojpPeCrVMcW +SFWKmF0GfuD5tlY6Q4tI09+/wv/ve6bgk/X/+D4fyTrOJ/B2Kgu0Mt9wPoFf +K/ZqlJ3DBj6Bb/T/z0X2fUDwCVxcaZTrG8L5BP5Fdv6zkPOJc4qmS252C/fm +5xQDP6bZZ6VJVBHjE3iCzZkbsvO3wSdw5XsKNfaKxYxP4Is/7tVX0ClmfAL3 +HFu/33NxMeMTeO6edTFajsWMz5bfM8W4BW7ZasEykyjOJ/uOTGPThZA/3I4A +75pkMT5qTjnjDfhNke8jM41KxhtwyYCZcoJu1Yw35P9FWVHh8beLGW/A1SPs +tAIkxYw34If8B1x06VXCeANediKllcxfAm/A59od2mZwpITxBjzEVC9PJbyE +8Qa8p2HRrPpPJYy3lt8tBW/AJYpGAwMsStn4BD79Y72Hiyf3K4Bvc5V3V3bn +/ABPOFP0e5aQ84PzoNqlWw2V2XHww77Lucrkmaw/4Ad4D+kEgUz/gx/g3raD +cmV6D/wAH/S102aZngE/wO8c+P5TNl/AD3C9diWnXDyljJ+W3yEFP8ANVZ8F +x2uVMX6Ax/j4kXr7MjbegM/Vck9WCed2mbUv+75htxrGD9ZTJmScXGRiJGX8 +AJc0PWgX7i1l/AA/PjwzXOu7lPEDXG/pTzvPxWWMH+C5zv2HKtwvY/wAd70z +Pc9esZzxA1w7Y9NZybpyxk/L74qCH+D7hz/5GaZewfgBrrk094GWYwXjB/h7 +56Z1nmkVTL8Bd7ij2UdBh9trnK81U2xgGBVfxvgB3jXQq9nelTN+2LnQO3/U +jwooZ/wAv2W0PE72/SbwA3x759Ab3i4VjB/g/4lVnRbXVzB+gCsEOi5TNK9k +/LT8Tij4AX7ZaEIHR4Mqxg9w686XikcFVDF+gI8SfwuTqlQzfoD/CDC94O1S +zfQY8Fc7n25dXM/nHc790C+zrWpyrmC8Ae//9/cVjDfgnV77SZucKxlvwL// +nf+VjDfgpb5ZkibnKsYb+37i33FfxXgDHubcMa/JuZrx1vJ7oOAN+PnVRllN +zjWMN+AHE8TpsnOKwBvwLbLzi5xrGW/Aze50SZbNQ/AG3Lj33fdNzh+YfgOu +c2x6fFPTB8Yb8ppec0dOfGjI8wlX6flA5xQveYR7JzDe8uj7Si/FFyWG+jw/ +MJGeI/TJdoue7Dt04O05zb923ns5xduF+9Wt6PP8XLLlVIMv9xun0f7Unxhp +p2jO/WpX2p/SHiuLVSbx+OI17c/MG/FjZN/FBg+KtD+iz6fzVSZxPX+C9ke3 +XWChsZWUjSucG+OkMlUuTxTDeJhMzz8Z+0Tbaocij5ed6PlI4RMTFKdZZbL7 +2k3bqV16Y1H9Q35fsyjf+kl+od4u/L50afuCX4rzZd8Hx32l0Dxe4gjRa9l3 +PXBfdvS65v2eCP+1X93ouuvPtHahjck8b/CYni/nNzd4vOx8L9wvzntL75p1 +vNo4iY0H7H/8zzHMJsUsiT3HtjQ/2efkts9SFR4X19N2xg0rTpd9DwL3G0nb +2d1dtZVOAL/fM5TX4OLnYTK/AvdrQfPSSx/7LDWJ4verS8+raSeLmz7x+5Wj +/Xnts0EYYsjtUQo978VD9v1Nf36/T+m5dDsjnh/UUONxMfZLWt17OlT2XPHc +3ei5VqvXtP+L434f03ZM49R/JGfz+/Wm7SxTvRbdmMzv9zBtR+XdpmEyfwn3 +uwXzadLJMntFHu8E0nO0Huxo+iWz77hfR7qfycP2zWabIH6/Anpe357hJaNl +3xvF/e6g5+cZVjmFhRjyuBjnHQ3sOVRR9v043K8xPa9r8quPswIkWex+t9N2 +9mwx7Ss7Vx/3a0bbubyqu5Lsu4q43ym0nT2yfE4v7ucPo3nytTG7dnsu5vfb +hc4ns2uaD+Nv8/v9TvddLZ84dLrsnGTcr4SeK7hO9n1nf36/OvQcIUHHsbuC +lHn8i/z2iq93V0bFi9n9Np3+3/k8Cr5jniu7i5l+K6d53T1xXsOqjcWMB23a +/pXOQiOr35wHFdp+gc+xxRpq3D//RdsvuBAnL/N7wUMpbb9ynkX7cG/OQwI9 +D03unWCDgQKPdx7T+TeonVu/TDfOgzc9F3Fhe9VRMv8L/ayg5w+9eJCwLkiZ +x2XYr3pElo8y4P18Rs9zMt6/d6vMD0c/ffAdiczZXrLvwqOfx+g5YLc/b1UP +sOD9RN77Q1rZt1MNvJ9m1E4a7n44QujP/Z802l/ofzyvmXR/a2jY57/fE8Tz +wjlwJakb/57Hhec1ir7fpVIQfW7gfh7n+tLz4nQsl8TPt5Ywu2yOeLNF3DqD +Xvetzdotiuacn+f0uhFGXQMMH3N+cN1v5mOHK+jwuNWPXndRv/MpMj8Z/PSk +++2e+cxIMbbicesJek7V8LK5WkJNHrfq0fMdx8vidBcet97E8zz9SC/Tjcet +vel5eIkVK//i4Afvoekc+vxM1g74wbl5DWZ738rOn4Sex34+je31a5xseB4A +51Xei13q7LmY5wHCafyo3iJu1aX9L75g2Vf2O/CpSvs5aFhUd7VqruflaH9+ +zAo96tKLx607aX9cbG/dkX3XHrxV0P70XFo+ROjPeTtNz7PsKIvTT/C4tTXd +j6wdWKEs6yd42037dZ/aI/CG9+g8V+2v8w3h8T7OFSzuMfKu4WMe72P/orDz ++w+y+uAN53PenLHquax98KZG48q9LeJWD9r/7oazRyro8Li1Fe3/rsyix7L6 +4CeVXnfuxLaHQwx53DqDXrfV60OasvM0wU8tPaczquJigSy+Bj+WdL/z+r/f +pS1h/GTQcxO3F11v697A43q875dP7Rf4wfmKwVnrTDTUShk/2JdZEqJjKNQs +Zfzg3NH98RV/eQA/jjSufNoibq3BuaQnHhjVf5IyfrBfe3mMS63seWK8pdP+ +L+s34i8OfvzpdWtHqw8U+nN+5tDzR5dpBZ916cXj1pd0X/ah8tJOsvUa8DOG +nh+pLFXspraZx614L7H1wP7XlN2ljB+cM7mc2jvwg/2mKitUTUyieFyP81TH +yOLfNB7XZ9K4Mq1F3Dqb9n93nnfPAEk54ycC+8q/X9oa21jO+BlN+1+7+LBJ +kDK3p7fp+alxW+cohHvz+LQv3Se+t3PQSP3MMh5n0fMyT9f+zJfF3eAB70m2 +6/hfT1k8Cx5wrmbpxo2ZxlbljAfslx1M7R14wHmwcSXnPsjiX/CgT+PExBbx +aSDt/4/RykFa3ysZD+q0/8d0xz4w0+Dx6Rmc92k7e5KJURXT821o/1MqTRYo +mnM9g32K783WO8nGF/jB+yOLJv7oJBuP4AffyalptN8kyw+An7X0fc6qRnEz +/zwOzaLnY8+bqB/mNqOS8TOH7gNWCd13X8uxkvHzko5rQu0s+DlD475bLeLQ +NrT/Zh7tWjka8DjUkfbf1tb0ociWx6G1tP/SkxerZN99AD+WtP/Rla/vuMXW +MH2eQfvfyq34U+9qnhfCOuaKvm/mjXB8xPrvQM8BDY7UMwiQ5DG8J/3d0r9l +vu6g0vS/+hp+EzVldhU42v9uNy628YyEzfchtH0bJ6UDDb7cf+5P27dob1DX +1FTGrutC4zivY0qLZP4O+o/zLU1pf4DjnGFL2g7aR9zd51vh2ybnOtY+1m1v ++F+L8W7F28F78vef5MU3LihgOM7dPJBcfTMkguN4v91w3G5vF1MJw09Sv8L+ +9mWJVIXjOEfXf1X233MmMW7zaFw8Wf/0bln8hPr4XtBNL6Nwa6cnbDwfoXHo +7rv9i2VxCcbzehrHzZY73OZps//O3itogaOdhzTekWhaP4xtTGX1bVrUx7wI +pvV3OMQWNS7IYvhxGmcleA38+71RtDOCxh1yX/qb6WdyfCTFW1Ec7WB/xw/T +endFc14f649SV3MdWX4D9ZOo357w/YipUFPMcHl6/qf+PZc+7g1iNn/xvlCK +xm2pW2wuq491Pf2qE3pq1fx9iR3Ur/75wayHe0M+Gz94/yTNNFhJJyCf1cf6 +1+SIyAHVxny+WNDfVW69/LupScLaOU7HSVeFF/J3BnEc55RX0/rQD2rUj12+ +XuOvH838PToOi3rXDHHszePBNtSvW1DmcVfmV6CdTOq3ZNPv+0CfVFG/K4F+ +7x74B4q/pzjaj6T+hiiq8o5sHRn1a1q0A70UTutPnFdmbhBTzvBs6iekOI+8 +aisuZ+3conbczXZyrCy/CvwOxU9SHO3AL7r8R+leYzJvB3ny9JDdlgYK/LqO +1A76HdZ6JrKtYvh5ao+W+kcsMlCoZv4e/IqFme17Kejw+sgza2QIku1PVLL6 +s6m96HijYLaBQi3D91M9r7LedoHn4g9MX8Fef95V6NWYXMPqIx/rbtRrlqI5 +1+d436zmjPawN41RTJ9g/g5zik/UUOP6Ae8tpNDv3UMPYN7Z+kUMkzvI5zvm +3ZGt/mb6F7PYOG/5vRiMW+jPPS6T/upJ2MGW36ln/jaNjxpeHjczkS9m4xPj +Z/nKuH6OoXx8Yj2oC/2+PMYhnnshafuh6SUfb3juufu8zRT/8Lim5Xc6wD++ +o9E3Wu33rf4fGD/uNO7uJLdqa5Ayfx8M95ts2qve2KqA1YeeH2HYStHchOt5 +8DDf7fyoAAtuF3AOt869vc7yco8ZjvPhN8dda/W2keM4H/6wR/Blv5BIdt1c +mn8bGO82/VhsIsMX0TzV8I3X5qlVp7Dngjj6UcvnQvWSUteMAbLvtwJHfB2Q +IvVy6cXxGhoPfqTfUwCOuPKq63UnzzQe7yOuvEq/Cwkc8VQG1UvsvQUaT+lU +q2wxUChlOOKIoMGhEntF7rdnUh7GCtTj4rW43m6k+dL8hIOXNQUcx/tL5RXd +O+sMzWfPC/5M1q1+Q940RjM+V9DnkiF3qtNgAc/P59P5OJl+vxu49P/Acd3X +9LvewINb4JiP42g+doXAfG6AJJPhl2m/Wv0tc3uK+X7ebsoAnaEcX0bHw4ZH +9sfF4/i8PkDznLnn9+10ssnl7xPS/OpzL/mxAiHHoR/cxWOuNvhy/CfNH/6i +3wEH3kTx3xQH/yU0rxie0nZlvT1/Lrto/tNq6eYRAiHHYa9Dnuwol57n+HWa +l5vncHiNxmWOp1E/4ci3m/OF/twu+9P6bxLW5IhquZ11pHa/58A7xkJNnj+5 +Rcd/dVOBodCf66VTVI/NoN/vBn6G4jNb4Fj3P06/6w38JcVPUBx6zJzmPZ4t +immntpnbr720X1qysjPH2Tr7xj2pxjc4Hkjni1PV5WjRPa4PdWl+YN+MpdJR +Adx+WdO4/lzCrwu2Yo5Dr9bUmd2RxXfAPWgc/Y1+Bxy4sAUOfduKxtcnjYKt +GgbUMNyExtGusvU4Z47DzjoZdrvSeIbjFjQ+XXBwWusAH47vp/b9R+vbaU0v +a9g47EfXaxJcby3Sz+T+3iJ8F/pvmY9P2NmYGTmVUhU+riLo+g5Zd39yZjuO +e8A/L0seKejG9QnOmQ+m7UOfpNDxuWFzj7Z+IblsHI6m/XwtG5+2XK+iPyPW +eey3CeJ6ezZdz1p4QZgrusfHcxe6XtNOps+FvB34CfPavfMJieDtFFH9ubbs +/haxiONjqP75cyuyVCWc4+mUB6Npu2YJ/TnuSHnIa3M0Mv42749iyv/inUPH +qv5+Nxx2DfsXU7PthGMzIxg/0GMLTv7XZ5pVCuMZ+wLe+UUZ6/fk/kbL71mj +P8ivjtF5tMPgJrdHLb9bjfmOeXQny+fn6sRSNq5wHlj3Z9NCpDtrWX9MqF51 +dD/bzdyEj4dQum7Vv+vXYpFtPtPzN6j/0J1+Dxr4TYr3oDj09knqh1S3KR7l +aMDxCBqfloqudHNv4O28p/q5tEXcZEf1qnXSPlMrJz7+e9P1lJn0u8/Ae1B8 +OsVZXpqud+D7IOx+aX9q99RtClIuZPptN9UbqS38cOTNzt9sR0yMuD7pT/NF +d+j3nYEjj3ST4ngu7WleJerI5qRRQ+sYXkPzJwtan7yk5fiBr4PQdZkhYV8H +qI3g3/fBunxKrm5ZX2cR43Pg/+E/Yx7V1/jEZS1MYjjOoc0qsJAoz0tm/D+h +4yF7lYNJphuPc1t+9xb8r6brfUb0u7fAl1N8Sgt8ZYv6uC7w8NLt4sYu/P3/ +0XR9LYB+nwv4b7qOtk31patNEMexrqeUk/TTN4TbU5yP2rRr0Oy0vnx+wc+/ +R78Di/HQ+//w5+H/Dzh+4NuU3tzfk6N5+FaP96o7LufrYshLexQ7GtR/4nFf +y++3YvxE03zsKvr9VuAR/wce2QLHdYH/WP3qgMs3vj6C/OdW+t0r4Mhzxj7t +2ipAwnGc/3n5h/GmxfU1bPxgX9K1M/0OuDcksnGC8zh70O+TAh/SYnwCP9ii +PsYDztc81XhnRZeH3D9EnuR2vxmd/PSyGS6lfpoe/d4oxhv8sbX0e6PAy2ic ++KhFnIg8SX30lRz9MD6uTlP99pR+35PlSSj+iOIYVw4t4gi27kDjiI9iralR +SqVsPGAdZDT9HiXwvnQcdqXjELhui/p47lgvUNvb2Sf4n/wD8gP9Z06vHLWB +4/BzBtPvS2JcwZ/xoN+XBI68t1KL+BT59qpZacbqXWoZnkvzvd3o9xyBZ1K8 +E8Uxrr62+P4g8C8UH0px2FOsnz5sYU+xPqtOv6/H1sFpPFhH40E8rzBqZ/1a +2FkhXXdLot/FA471uASKYzzAHxgx8viyqDl8/CAe2Wr359ri7fk8Hqf29NOP +hSruu7h9BK7Sws4CH2v4ZpXG5QI2noGbSuQP2QTxeD+M2rvj58if5GyOwz4+ +jVVLNbteyPAJ1I9Spd9xY3HH/xEXn2qhP8EP4oLH9DtraB92bdZqvRlWkwv5 +c6Hz9+bwwU9kcQzuC8/Xcf8BssCY49DnyUZX5sreeweeQdvfR7+3BRznRO2h +OIu/KI7vUgFHPuSG+tAO5h58XJlRP+qwzD98x/MkbP+a+8wvX31DeX6VvlcQ +/ad0dtQcvi4/sQXPeL7T6Xsyb+h38cDnWsrnE8onex+SrtMdpt+nQzvlLfQh +6rdtMd/Rz4gW8wXjEOe/9fOfe+RwRiFrH/iUF3YH/bL4+OnZ3fbW/YESYpM1 +xOiPEn8fQ6Gf6FfPQRISm+dY+18n/j7GEuPDZT1k51bqL9Bb0pk/xxv0POR+ +9Dxk6J+19LzcZHpeLlufNaxPdmlu5/GnxLAuivy5YH/nxtZVf2zf8+f7oNvn +x0rN/Wy3PE23fRfu//eh56OL6bno6H8bes6TEj3fCf0f+rpHidP1NGJbrdvX +RZTF9HMaPf8mmJ57A/5vJOvFRyRVEqcttVeCVbld1r8w6+cU3Q9kTKOWxTCz +Wtb/B0EOc+p/BpHbgmTrt7dFjOdtLyaktYl6S6p3FqS+Uk9mz3HVcvOCiKQi +8sPeLkvUj+fba/vu6mykW0bWZ3br1WUGn4/YBz1pd8ePX5O5nxl5ddDnDi4h +5L61/Wm7sGdM37Y855D5V2uVVI10i8nUs8uqW0/m74eg/YnLK4pKc/g4Cfc6 +XPPT8A1xC03U/mKRxHheRc+XK6Pny+G5jKTnzVfTc+aZ39XjbXpEkpQky/UI +f9iH29MIek5aJT0nDc9LLnPbMheLdPLzvMOcu4rZbLy9o+d159Pzutl7szkF +bYx0q4jFj9aG6vO5fXSg5zzPouc84znOOnUlKiKplrQRNTrc6VHL2i/p9uDe +6ubxdnHSnLPqynycg58wi5B1t7P4+Nz6X2WS03Ux2RBxZuSJcG5HBPOMjV0s +8sjqH/7vhd/zWR4Qzw3rp8jfAcd+T9gn4Nj/yL5vR3HsE4T/BBz76eAnAcf+ +Muy3AY79SohjgWPfDeJY4NhXgjwOcOyngF8CHPsIsA4BHO/Pg5/5NM/hM/j3 +2CX10YwH4MZ0vyd4AL6Q7osED8CxfxD3BRz7hnBfwLEvBvcFHPtBcF/Ai+g+ +CNwX8G70/X+sHwMfQN9vhx26ROfZ6N7Dk2XrLOAB+Fm6Hxz3Cxz7PXG/wLEv +Es8dOPYJggfg2CcFHoBjHxB4AI79L+ABOPZ9gAfg2O8AHoDjfX7wgPUjZ7pv +ne1vp7g93eeO+QLc/etuVw21NMYDcOwDBQ/AsS8S4x849tmBH+Bd6H4x8AMc ++6HAD3DsAwI/wEfT/S9sXwfFse8D/ADHvgbwg+/w9qT79MEP8Ll0Xz/4AS6h ++8Exj4DfXTC01kyDnycIHOvX4A049o2CN+DYhwjegGM/HXhj/aT7xcAbcOyT +Am/AsT8IvAHHvhjwBhz7Pti5AMh/0PMKwBvwLHq+AXgDjv3y4A34FrqvHPMR ++Ce1QYPDvXMZb8Cxjg/egGOfJngDjv2G4A049tOx/VoUxz4y8AYc+6fAG3Ds +GwJvwLEvhvnHWI+l77eAH+AVdJ0L/ABHPAV+gCOewngD/pCuv7D9qxTHflXg +ODcS+1XBG+pjPyZw1Md+TPCJ+tiHCBz1sQ8RPKM+9uUBR33sywP/qI99asBR +H/vU8FxQvy3dtwUc9bFvC88L9cPpfiXgqI/9Shjn8PvwPhX4AY59qeABOPZd +4n6BY78h7gs49tmh/8Cxvwz9BI79Uxhv8B+HdZxvKXtvGf0HjnNCMA6Bb1nw ++rayOz/fATjOc2Dfc6c4zj1g33OnOM4BwPwFjv3v2O/N8v03O6tUG3PegGNf +KngDjv2Y4I2dP0H3IYI34Nh/B96AY38ZeGP7AOj5J+ANOM5LYedxUBzneIA3 +4DjvArwBx7kQ4A04zkkAb8BxPgB4A479+JjXwPf/PSeE6zfg2K/K9mFSHPs0 +wRtw7E8Eb8Cx/w68sfeS6Dkw4A04zo0Bb8Bxzgl4A47zQMAbcJybAd6A4xwJ +8Mb2BdLzE8AbcJxXAN6AY9895jXwwZsPn/xXXwHH+0vgk90X3d8KPoFjXyf4 +BI59i+x8HxqH4Zwc8Akc5+qAT+A4HwZ8Asc5KuATOM4bAZ/Acf4G+ASOcyfA +J3Cc8wA+geO8AvAJHPvxMd+BP/9xpEbm34JP4HiPC3wCx35Y8Akc+z3BJ+JX +nCMEPoHj3CHwCRzn6rDzbiiO82fAJ3Cc0wI+2ftl9NwSdi4JxXFeB/gEjvMx +wCdwnPMAPoH/v7rOPb7neo/jCokclNvJktsUkktGrbSvW4up5VYuyW2NOYqT +ymXlMMqoUBNOQrm1lE4ml8rOjkv7oSnOaGRn+TGLzZxG9kjrdvo5r+f70+P7 +ePz+9NrX9/f5fq7vz+fzfr7fxDGgPtHh980/QPrd/UaPDVS4+kTHn436RIeT +pT7Z9xNniXpDJ+4Q9Wb8k+LzUG/oxLGh3tCJ60K9oRPPhHpDJ34I9YZOHAzq +zfg5xXmg3tCJb0C9ocP10z+Nn5jY4Mfeaa7eLF6C/JzhaY2vFVcLd4pec/Hl +6SPiDxqfiQ6nOVn3xOjwjO10X4gO9wdXhg5fBk+FXlz/4i+/zTzpeCHKI24I +TgYdXgY+BB1OBF4CHW4CTgAdXmCv7mXZ13cVb8v9K/qb7b5u+HQNd2+KDr/J +PSg6nCP5GtE7izuuovtLdHgo7inRx4kD4n4RHf6F+0L058SDwD+gw0HMk382 ++/cR4mp76Rwc/fqqkRkDy456leQ/becbI68akDAj35um9RgdbitP/rvo8EpR +OjdHryNOJ033oOhwK9/pnh79vHgN/DvZX8M9cd+GDu+Dfyc6/Av+nejnxH3A +BbEPHSY+CE7G9qfiZeBD0OPFicDPsC+Do8FfBB1+ZIRvfwQXmenbB8H3NfLt +d+DXpvn2NXBbeb79C7xSlG+fclD7FDgK9indxLO86tunpGufMl3zDPuC+nPT +N8VsCXrfaZ5Bh0/H7wE9ZfvQ+Y3zg+aPgr526OsfjD0fNO4XHf4XvhEdzpH7 +QvTsgu5PJbU9bf4B6PBr+J2Yv5K4Le7v0eGY4Hbsnkr8zi7NJ8YlH2mVnLTx +pHHp6PDp8NvocNzwzOhwzfCH6HCIcHe2r6ky+dlARZH5Mdi+Q9wZfjPocFjT +NW+gwx/N0byBHQ5H72nesPg04s3hrtHhr+EA0eEB4d/QK3ea0Civ2lnzk0CH +C4ODQv9WPNSt8lcwvw9x7oXyP0CH+4abQoefypEfnnGx4sHhjlhH4I8YL+jw +R6zLdv6veCnPyl+N+fnLU9W31F5Q4C2V/zfj7kNxWHBW9Dd4K+xJnh+tuJ27 +5YeHfrFKekp01QIvVzrvwU8PLgv7AT6L96MT95L7b74LTop7XLMTxENhv/G7 +xBE9It6JeogR9wTvxHvgnlLkR8i6ME3ck8Uj1ns6Rk3c1ict2+xAnsdvkHWQ +efsL8UqsB3ZeKv7okPoDesTQhXXb35pv66Odu4ozwm+GeR7OCF6Cdjkibmik +/k39lIj3gfNhPML7UM/mpyneB56H5+F64H8YL3BA5u+o5/F7hP9hXMDv/Nen +wwFhx/J+/CRLw7wHngcdruc9nw7XAxfEeIQPwh5Ah/eB50F/blDLYUlPlBjP +gw7Xg/3AvgOuBz4HHU4Hu4JxAadDP7R7OvE49H/651WKG4y/IDqcDvsa+u27 +ihNL/0SH06Ff0d/gcRin9Dd4HPoP6zg8Dvsa+hVxGvHbQ4fTYb9D/yHeIO1u +/Vb8Dv3NznMUN492RIffoZ6pfzgd7Dfbl4nTgc+k/uE04TDR4THhc4zLFI8Z +lN8z35sg/2fLByeduLvbZM8wD3wtf072TeiJ8rMdrnWf9sI/c1gYnTja6Pjl +NvDp+OX+qvWXdv+r/Dbxs2R84W851Xe+hF8u9hLjBb9K7CXj5OSviz8l7YWf +ZFYYHb9edPx7b/Lp+PdiD9Du+E++Ir9Au5cUn0X/Z3zBZ9HuPA+fZVyWnofP +ypXfEvqdNettiYk64eWrn9B/TjT46W4vyvkBo+9vsLHHT4dybPzyntmdIm+r +VOmw9Q/KU1n8DusI+pD9P60JJB+18W77jo9eeXbjonyrB/RS+YczLtAL5R9O +/dB/8Gd7RvaJ3Wd9OH5BoKLAm+LT35COf5jdQ8lPjPqkH+Lf9YrGI/qe4M7Y +i82D3nq1C/pjHYftzBkftLgn6CPHPrinop/z92Iee1v7JuYr9N0HOq4J3Y/H +iR9j/LY7GNu37KKbr9CrBu7stetlNy8xj40P2XUzf993c+6p+aqtuBvWEfQL +izuvXbHb6Yyv+VrXnvONuzyNO/w+0Zcn3T5q2cAS71qfvkq65cFiXTs9Kb31 +xyXG/6PfOHZ/Vs/CUu+C7Gf0ytVm9Yl+0XGPjLse61a+lrPhvPGr5h/dI2/h +iqvPe/E+fY90+gH9/ANxLpynoRMPubl4D/7fF+JxWE9p94C4m1nab6IvV3yA +u8S9oI+pVjK6SaMC71r5T/P+QTVfKxzS5LiNU56v/nL8HdOiC7xjGtfoL2yI +nJvUtsDrKj9C9B1tYqfkdykw/2O+a0Hk5inRVd29Jzpxgxkv6BMePXei6PWg +xQNivF/K+KSwXlf3HvQfFGeYfs57Ft/YfHh895PeOY0XOzcbvCNl2WH3PPqo +Wz5fH2x50jgHdHgH/DWNyxEfcTjMfMj5KvPMXPHCj4ZZ1zg3oz5riiOgfhiP +cAQRYdYvzkvpz3C+O8OsO5ybsY7gb/+x1nHK00yczjNax9EfF4cIr2vxz8Tt +wuuiw+1Gqp/b+d64WgVpkdleqzD6f9QPafdI8bxwudQPfC5cLjp8Lpwt8xh+ +xfC0zFdwtfAz1A8cDfwMOhzNfu0r+d5xdRN/2xyTaXyy8crilLGHjbORH291 +jVPqYf3Mvw+aF/jcu86np0vHHkMvrdSrZEbSPm+Q/IZtfRfvDIeDDo/DPIB+ +UfwO/Zb+DC/T3mc/w02f17ij/i/K7x3+GR0OmvULHb/lXN8+Dg6a8YuOHzj8 +s+V5EAcNJ4MOL8N6hw5fw/kz4wtehnHE+IJzgdOjHeH1avja6x21Fzr1/LZ4 +Fuwc6hneBC4FfYH4lDO+/Q5cCRwg4xQecKHsIvRt4kde8ulbpMMNWvuKd2Ce +Nw5S/OCUMOML/sTsAXEo8CfGo4graeyb3+BQOoR5HruCdoE3MS5FOnwK/Ind +58ovvYpvnwVvwnk14x3OEc4EHd4kz6fDmxSGOZ+BP6E/tBZvMl/3cbQvPFEH +nQPTXnBqbcPocCm0F/72O3znHnAo8Ce0FxzKQp8Oh/KVztWNexa/s1HnxnZu +Jv7rXZ/+pHTscJt/xKcYl0I8aXEo2PM8/5J4k2JxJujwJqN84/oJjesuOnel +P7woruEOn54inXFBO86qGxtdtX0wrH5EdgLtCCeS69PhRLAraEc4EXS+C56l +VN9r/mPiT8/69GPSw9kt7Aep56MPdaiXOTxo8S7RB3y1sW7miqB3Tu9HH7qi +Z3xu+gnvU7ULv1v/ve/3VdQ5YVwuekPp2MM2/yt/R7j6ZD/F76Ykl56u97zb +T6HPqdg+ucbN7nnqOS2n+tToF9370ddsnXXl3COc/lKY8Uj5+a4L4vha6NzV +4oIoXw/2IXqt8WeX3Jfv3m9xjK5r8enC80G77/aPL+6tGEdwcHfKPjf/avE+ +08LMzwnifBjX8D7XhJknL/nmK7i5rDDzzFXiH2iXn8VBfC7+gfqEg4B/4Hfh +IOAfqAc4iD7iH6gHOAj4HNZlOB04E/R/iDdpHZv4bZVdO62//Tp97a45BwJe +lrgRm2fEj8Cf8L1wKHAj1DP8CNwI9Qw/Qp44fpe8ipSffvXAa0X7P64TNN6J +8sA9we3wXe+J34HPsfs7cTrk1+N5eCU4K85pGovDekr8D79bKg4Izofvgvdp +JU6Jdp8oXmmdOCvavYl4K/gl5mc4Jvgl+gMcE1wW/QE+q7O4JvoDfFNxrzG/ +/TAjy+q5fv6cTw/mZxt/RXvBYZE/ke+9V7wS/Azlh6OB/7H7NXFA8GC044au +ce2XHHd5EikPeTb5Xeqta1Jy8ZO/1z95CWmXsX2yD2XXDHoxyg/I84+fWrl0 +aS2XN5ByrhvxyaAttYNenHgeO18S1zNJ/A96kjigUdoXU87lis8fbv++TvHx +zW9hbqeshBkHvG46l0C/S3HsWV/QiavcSPF50U/v7XHFT+aU7sWoh52K/x+U +fYX+ZemEq+cFcm2/gE78Yex/dOLr3q99K/X5vfIIcO+GnqV4+/Cr6POqtT1d +cSjPzjHQiW9M3F504vcSrxaduLX7dD9IO5K/AI4dfW3dYS/UGHHc7HAbX4qf +jB1u66DiA2OHoxMXF/vZ/DQUD5Y4wvQT4gkTPxd9huLoEjcWPUrxY4mjip6j +eKpV2Ef54nKfkb2Bnqm44r3VP40P7htT3DPhpBdHXDJfnOqDsn/Qmxb98mZG +zCmLu41O/O1U9WfmN/I+RKk/o5M3IU39FZ38Attl/6AT5xz7HD19TJv8kH8X +8anRiVO9V/2feYZ8E4fV/y3fnfI1jNG+Hp28BhPU79GJ//+W7G104q4THw2d +eOPw2Oh/O9NkR+tpRV4tjSPmbfJfPK1xZPGclD+io8YROnkW3lGcTXTyEdTW +OEEfLD+lVO1nXZyn/8eH51wIvb/ionMuYft6xf2GJ7d46k9/c0/Z5DPeAo1H +ixel/B3kvUAn/8VV2u+jZytPxFSNX7PrlE/hB+330ck78JHGITpx+Cdpv49+ +XnHv4djRiffOORg68cw5b0Hvqzje7Lstfny1sY8lbSy2fB6ss+T1IO8FOvkv +4nQeZfmalCeCPAro5FMgrwA6+QWGEm9KOvH8iV+PThx74i+gE6edcz/Lg6f4 +5JwjoROXm3MD9K9Xb2uSFlnq1eP8TuV6RP4wN0m3uFzyh9mk/sy6RrxZdOb/ +WxpktRwRf9T7Wf2BeXh047FVQ3Gx3lb98LuVGjy/dvayAouXio4fBfFJmU+I +U0ocUvr56BklmamBMxa/jHa/r+7WrKJ6JRZfjO+auqn36PLVpd5l7Qv4XeIK +pqif233H9gfjQ+eQa1R+vnfrutceinrkuHeH/Nl4z/tPzuwd4kGi1A+Znzcf +qHMydL73uMpjfhFRr/6r6Eix10+/R71x/7JP55/ona5vuC50/t5P/dP8BBS3 +6rT6p/FKistHvDzWI+LmwZVjV9cqHJlSNtnlJ0Lv/mzn3Jgol9/W8sRW6jH7 +j35j6Dctez43NdbxEuhVrml4KDXWzV/oSy7XXxVMdH7qlpd14vSuaetcfHjb +X+selnKi31UpoWefNMfJoBdlRuwNcWqUB33Nk2fb5qW68qBfs+bGhPxtrjzG +F1/hQZz/N3r2kg3dQvPtJJ+/xxPy96De0PfUOrInJuq4lRPdn98H3fvqk/mR ++1050af2bdwqr5qbB9Efua9oaTDRlRO9YPf1eT0L3b4Fe9KfTwf97KWm5w8N +ce9HX94h4rPUgHs/evl30ycsG+j8Dxgv/jw16Cci+l9od6ubv9D/FOIa9rh4 +AvR/fz4X89eNi1saE+XudzkH9uchRffnIUX35yFF9+chZXwxn6PzPHwB8QNt +3LV869LqDJefxXi9cf8eHr/LjUf0ZUu7PXz/YRcPBH3Cscn//P6Ui5Ngfry3 +J13hqc0vhPxLu2YFUmPd96J3bNEoLVjkvhf94dD6tc59L3rTp5KXr5hd4uLz +EP9G+aosPo/0m0PzQMDlT0EPNDp55X7f4vNIn3iF/3J5QNCJ59nbd7+fpPt9 +vsvynB9oPDi/i7MD0N/4/sFHo6u69kK/a9Wp9mUXS6z89KM27/a/dOiYy2OC +vj40b1Rz+TftXqbTzMT8Li7/JvqKK/Ob64foBfKbsrgZ6N/MmRdMdOVE758T +l90z4ZyVh/fd1mtQamgdsvg/0pND80Oqi7+Evm/At/tSA86eMP7u8uZhyw6f +s/dYvNKQnXzZxelFXxmaB2Jd/H++o1HalkXBIjfv2/ne4tlNThYdMJ15o7bW +HcaLxRO4cGH3wDLHkaLTr6gXdNqL9zOf9ND6xfvRo7Ve0J/R27/86paBZY5T +Raffml+1dPoD9YhOu1Aem6+0bsaHWfcpD/pPi8o/yog5bv0TvW6DlY+XTXZ+ +5+iMI+NUpdM/KSc6/YR2tfN/tXtNn91IXgnKafvrviPfy4hxcTLtPPDgnuQa +Iwqs36JfGtCqb8IMF4cQvdgXPx99367VqeXN3Heh+8eX3Seqn/Nd6KvUb83P +QHqEr9/y+8ffj10fTHT5pPz7dOL/oGeKU+Y9lBe7iPegY58sDbMf5/3oDbSu +WXxU6cHCvjmpAecvYvlYZHfxu+jYP/wuOvbGpDD7bsrj52Qt3pH0rVp3LJ+j +9AGtB7TIS3X9ivbBDqScFpdL9hjlRMf+oZzo2C11fftu7BDLJ+XjUs3fnTyK +Wh8tj4N01hfqHf2GKc1uCtkn5k+s/oUdy3dZ/knZk3wX+mDZb5ZXSzp2F9+F +jh21Pcy+m+9FryN7xu57pLPuWzx/6aybFudTOuuU5Y+Q3vzzT7amBpx9799X +Ug/o2M/UAzr2KvWAjp1pcXS5v5bdSD1YHhvZh4+G2Y9TPxaPVvabxX+T3kz2 +j+WHkh4t+4H6MX8brdcWd0v6eK2z9Bv0lJYRZSU9S62c1B/zLc9Z3nvVZ80w +55D828918m/2L/GLi8a0mfaZtQvr9ebkPW9Oi3bxS/2cBfWMfubXRRkZWS5u +rfmdrkotr5fp4ovavJ33SkTmigKrf8pbKD92i/eu+r73x4lzy0e7e0Hjif6c +V7z6ghuf5ofpyyfi5w7MXiH+3GfHa6Y3dfd5/D3n0jd/KW/2h3izaoe+F5P3 +r84otXqjXh9QfdKfqedNqk/Ls6D9An77lk9Bf+d7LW+C/s73ovN92JP0H9qR +dZn3or+pfQflpPzzl2T/Fqg4YO3I8+QpoB2xu+KWZQ1KmOHirtMfWN/R6Q/F +XZYcHfKWKw86+xe+k/qZdN81Q+K7u3rg//Vqcc/AP+a95e+t5N9r969wK9U3 +3Bu/y403/l+n7Bui4rs7P3X+X+TuKRMGbnLx52lHf5x59F/2VlyJ12R5ovX3 +X6VTbouTVr586cBN7nup5/wB1V4qX+36A8+TBxmd9kqMuPvl8tEuriDtgt1l ++b/ULt3Pdb49PejyFvk5Jstjq/dM3FA5u+JQ0PsfUpzTpQ== + "], {{ + {RGBColor[0.880722, 0.611041, 0.142051], EdgeForm[None], Specularity[ + GrayLevel[1], 3], + StyleBox[GraphicsGroup3DBox[ + TagBox[{Polygon3DBox[CompressedData[" +1:eJw1nHOgJMfXhmf63ume6djmxratjW0bG2Nj23aysW3bdrLhL85usLH5Pc++ +/f1R97x9prpaVcd1p9py1zV3KVqt1pedVqsPekzZav0KHQh9CN4i4MmgD9MW +BU8OnYUTnmu3WjPTnuB4afgDoC/RVgfPBr26Cv+Lbqv1GWPNSd/9oEtDv4X/ +Km1bxlmO42VpT3LOMvCmgS7IuWfx26zQIbQFHKfXaj3Fb8uCp4XOzs1+Q59H +OXc7fnsEujR0Vvhfw3+Y48u49jzQieH/xLVL8DrQN+EfAX4L+ixjrciYM0Kf +oa0AngE6J2M8T59Zac9xvBL8maCHMlZ/f6v1OPx7ubd14L/GOJ9AX6G9RPuZ +43Ghe1a5t4L+e0B/4Jw/4f9Ou5+x5odODH0b/hveD8dbQxenDaANpT1Newr+ +iHa+y8+0Kxl/fo5HYczvaJPB259rXVvlHX7F71Nz/8/QZ3raP61c61R+f4vr +beAx9FXaWuA5odfz23LgYYz3Ce9ods7bF/obrQavD32dfuvSZx7oGhy34K/q +++R4fQ7ng75BWw88L/QA7mMS8H6M/Th4DPAu4Jn5Rl9xfw9y/qYcz8vxp4yz +CHR03tUn8A/kPn7m+BXOe5V2SDv4CFo/+BnoYvy+qOdyPIzjc6BfQheA1+3P ++9u45ttzL3cy3oLwe/1532tx3cs5Hs95Cl2K9iX8/6Az0O4Dt+g7E/gB5w39 +5gC/zX3uBP8G8CY8w5Fcr+L3W6Ft+LPAf4jjtel/FXhC6MTOE/ouA12LPkPg +L8Pxv9DpaPfQ/3nOPwC6Ove5Pn0ugb8CfQ7jeAT0CX7bjPPXhP8t97A+dD3a +X/Cngn5In9vA44L/pq0P3oT+w+AvBp0C3gfgW+BvxPHb4EWhk8B/F3w9/Bl9 +B+D7wTtw3Weh0zq/4L8P/ybnE3g4+F7w5rzbFvdyH32u5J4f4Lfz+G1Ljm/n +90WgR/Fco4DvgC7L7+PS7xvnDXgV2k/g0XuZ3wOgK8BbnvYdx2M1a2Ya6AB4 +HzP2HRwP4vhl6GzQHWmvgGeHjuP7oK3I8fwcb0z/BaHXce3R4e8FnoD2H79f +zG/TcO+38gjHMj+GgxeFfyh0KtrN8I+CPy34NvBx4OnAt4OPB08PvgN8Ang0 +8Fng3cCjg88G7w4eg+teBf6Ga3Z419Mw/u5l7tv7r6Gf8vubtDdo57hu4X8M +naCbe/iAPrNwzgPg0xjzct757dAL4E8J/yb4R3I8F/hRxwCfzblTMc590Bnh +3wv/ZPhzgB8Gn6V8Az8CPhu8L2MOcH0z5mOcswPn/g49jTYx+F3oCPrtSf/V +oSV9TwHv0IlMmakVGdOBfzJ0e/hnMubn0NsYswv/NPg7clyBTwUPAh/PuMeA +P63y/V5pZNrW9BkfvKXn8duCrciaY+i/r+8L3kVV5PnN8LblWqP6/Jy7C3hC +8LPgo/ltY58f3jdcbw/OXQ16A/xtwDdCl2AevMQ4c9O64DGdj7QfOX9/+rxV +RV/sCH5GvQSenN//Bz2XNi34QeihtDXBN0Fn5ZoP0v90rjUz+H5lL/ga7uNa +jl+gz1/dzOXFuM5t4HXAt0Nvod+M9B8DelA3+AiuezXnXuVzOafAl4L34ZzT ++W2hVvAk8D/kvJXpc6HnwqsYfw/wVvR5usp6frbhu07/ZF3sBn2aZ3+Kdg1t +N/ov4tpgvHFcM6zZvaGXw5+3mbc/gGdjzB+Ve7Qp4d8DvY/rzwd/IuiPXG9S ++HfB/9Y5Cf876MqM/Td4RehMyg/wKfSfGHwF+CBwS3kO+dp1Df8i8N7wJ+N4 +Bu5nP+i48C/22e3fiy2wLHRs+ENgDYY/FvhC8F7gKcA3+j7Bk4NvAB/umODr +wYeBdygz57eFTkS7HP6B8Kdi3PF5Nyv67DzXsfBP5B4npc914EPpsza/v8a5 +C/st4F8J/2D47SrvZ2fXmHMS/n3wxuP4EvC+9Dkd/ub0uRu6GuO8Cl6QNpjj +rdXv0Pv9jvAegG7HO7hWOU/ff6DT0O5SrsI/H7y4uqOO7HiPez68zrx8H3wE +eLYysuXQOnP0XWV1HRnxP/DBdWTH2+BjwXODPwYfU0fWfOT6qiNHPgRvwjU3 +7otsnYR7WBf8J/h8+uxYRgYu6poqMuenhj+c516HZ5mGd3F3O3pqF347hD6L +Q8+gz3qcOxx8OnitMvaJ7853uJxrEP52ZebJnVzzWK59AOefCn+1MnbjOeBt +lDv0v4s+J9DnQPqcBP8S7mEa+JPB24jf/uU+1mX8gdqXyiH4K4K/h/8JfZeH +HllGz/zQ6Jr16T8I/Af8u1yb6g3G3BD+g/Bnh94J/zrtVvjTMebO8EfhHvYE +3wLeGrwe/dZW9zHOmFLtBMafiD5rgH8FH8c48/D7JzzX5PA31Wjn3EnBG6j7 +6TMheDXwz+pO8Pbgij4XcO6unDuCc6eAvzn8Av6U4K3A/eAL6XOBa4X7vA18 +bmNTXQ8e5hwH303fEznnIPof0s19LcyYN9PnIe9N2Qa+g/4Xwn+Pvu9wznP0 +f4TfxgMfBH+VXuTNxtCb6H+/c4nfH3Uuc851/NbXiw3cD72RPnc5h7uxv+fs +iz0+F+9tdPr+yW930+edMvbSb/Rbsp2+V3ezVubTHqfP9epDbUnwjepP8ANc +8ynGvEn/AfoI7VrwH/x2qzpCm60b+25exlmGdkoRmXMf5z5J/xsbW22uvthu +s9AWg7cKv9+u/Oda52oP9GKflz4XfXf2W9Lv4G6+20K+T/h7+G3gj9qLjzCa +347nfawdW3Rnjnct8v5P4NzRwEuAjwOP6rxw/XYz11xT23Pujow5mTKJ+/lM +W57fD+xmjg+i30z0WwQ6M/QO7mGwc4jj6TlnHOUN1+32ojd70IvUC/BnAO8A +/badtTMHx1dw/tHQqTj393bm9o7qmXbszzn5bQ2O51IP0vfWvviFP0HH973Q +7wru80Luc0quMz33smtfnnP3OnL2Bc7drY7+eN73UUd2Pwfep4499xp4Rn2A +5rn2q2P/vQEeXEc3vALeq45ueBm8dx0b61XfWx3b7nH1aR25/yJ4uzr232Pg +QXV0z5Pg2cF/c89bcs9/cL9T9mUOzQn/X/hbw58D/A94K20H3sVpygToqnV8 +quu1b+vov6fAO9XReU+Dd66jP57xndfRc0+Af2eMyWk3c6096+i2l7Sp6the +D4M3A//F+PdqA9Sx2x4EbwFua68oz8F/0Odu8KbgP8H3gDeqYwve4brjWxzL +tabinf4KnZh2nbY3/BP0beBv2Nhet9N/mzq24CONTb4Ufa/32eG/Z9wB/nrg +9+l/E3hd+eAbwVvVsTsfAq8P/gD+zeANwP8D3wJejuue2Ze5+Bt0Utcj11iD +d3qyPqH+l+fq19J/tTr+8A3gWcG/gTfnfuYD9+izg/Ma3A/eHrx4Hb/9Ivov +USc+crE6rY6f8KZrvY4NNER9V8eeOw88szaL/qZxDfDB4InAs6iLwBOAl6wT +Z7mE/gfU8TfeAi9VJ85yKfjAOr7HUOcY5x7BuZNx7hD4V2tvcp+XgH8BbwK+ +GPyFfj74ImVjJ3rzOvC74IHgFRjrbMZY0zXCmHsx5lgcP8D72qSVPnPAPxr+ +FPA3gL9PX+TA0nViN5cpD+vEaC4Hz0b/w+gzCf2ng/+tcQftZfDXxgtcy+Dv +wBuCB9SJQa2rPQD+yjgCeJU6MYXrGHMecB/X3E7bE/w7/C3As4B/BW+m/OPe +5uKaS0N/pu8/2vLQGenzA302ps8M4O/BG4EXAo+vT69dWifGcS3XWqlOfOQa +8MA6MaCrfE/gQn8MvHydmNfVzr06saQrwfODa/oMYszdeA838R620BeFP6by +T1+4TrzpCvr3gW/QJ4N/Fvhn8F29rL9Def8b66O1Y+Nr619exie6TN9UXQ2u +nB9cYyHtCP0QjifUberE5rpTu4Y2dRU78Y0yfsdA+twA75Ii60Y/5BXOWRP+ +HJ3oxgnA/6nfHId2On3O07ZzbfHbFc39eF+fMeYZ+ubQRzgeG/4vnHuv/jN4 +9E5ifhe0E/e7mnYV7ULaiG7430CHdzP2ndzbi9rJxkig32rLQtfQv9TvaOVa +R9NvFmNQ4MuK2L8beB3oW9CV2oltSo8u4/vpA67ajT5Sbr1a5npe13sY2E6c +8gj4Z9A25Xgr51+R35Zr7tn38DV0ryIyXj/wpDLXP7GMb9gGHwYd1/hLO/7k +3FViPONCJ4S3STs+55ucsyH4ZOjRReJPmzYxizloa4FP47eNoZtDx2qn/xi0 +I4rErvxtnCrXmhN6M+99Isbug/4GXRn+L9DHOX8c6BLqvE6effZO7vMo2ti0 +FTneCf5m9LmsM9I1a/2pnNCHacXWPYx+h7djl4/ZYP1o7cGr4T0IXbgTebJJ +mdioMVJt74vh68L93MT+3tW/5nhIJzHp7+F/yXffkPPW1obl3DFbsQe2gP8m +z7wZ9Mjmnn23+tnO7WvKNPHV6rYicbb92/GnXU8zVolLGp/U7n2tk7ju3Mr6 +zsgwYOtH/pzdTozRGPe27ayDbWjb0y6lbUe7k/5T83vdiY3p+/mLc//oD366 +mctX+D319/Q/4I/ayVoY0s57UR6Mb1yF8+7RnwCPplygDQCP0oktqU/dhb7s +t+Hcl8rYcNpXfuermjXmmPZx/GfKXN/78HzXl/f/gn5UK+O82Eqfy5v71Jaf +Hd44nfCuaM7tNc/7HOceVAXr4wxpruu6vqnM/FlJf6CIvbAK/EL5QZu5Ffvd +ueq8G8o4B8DblHE+Ax8H3gb8bJVx9EGMxfid1WuuNefcpmV8yk3hLwp9kTFf +cP3QTigT49lfmVRkrbnmluX4e/ovXUa3HAjesBOdfxB4o07stb29rs+qndRO +rMNY0Hm6X93YDruAV+lEL+2qbIH+R9sHvE4nOmpn114ncZoNwQtCD3QNNmv5 +c57reOdXN/bjXuA1O/EzV3B+l9GNm8NfvBN9cgJ4O+/N72isoJPYneP8xHgf +dNPnZ/BHyivlAHTLdmKeU9A+6yWOMXY3cchrwGMZ6yoSczB2OQrjHwV/y050 +9WbgxTrRdUeCtwCf1I2MvJR1+iPHO2g/dKJ7t9dn70T/b6HMgZ5SJqZ0QJlY +m/JPu0X9vB142U5iL5u1E0fSXtgW/jKd2BTK8KU7sdeOAG8OPh68ujK/jH09 +2HkCnYzz72zF/30SvDt9ZvHbQVej/ctv3/VHtizvs1aZm/N2k2c5v3RhJ3a1 +B/0nb+Wb6KMYFzAmpw4ai2utYt928iS7QndrR77IG9xOP3NB8s0HHVfErzQG +tHsR+91nsM8qzbkX6bsUWTPeq/ds7meOKrZ2pRwrYvOu2jRjgHvpM7eTe1Of +/dXKb39AzyvzvD/0J8bzGPhc7v9p9Vk7+nSFMs9s3G6Q8rU98jFa55QjQw+t +5crEi40br6Mt1ItcXF6fpR3+C634+fr7q0IfLyI3lZk3NLJUmdptZJqy6Owy ++t1Y5MVlvsVF0DMbvr8bN5uE886Ajmjlel7rQca/vcjxkDLfquwkh+b9m0cz +nqZuGlNaJD7gXNcePB3+zto+6n7wLp34+vrd5uiu9DmKzMu9y8S/nW/30M4F +3w09id9ObEdGGIO4tp2YhPrNuMTTreT5zPc9AZ61lxi0+cqCtja8e6qsT9ep +c/c2fi8bG2896IS0RdrJdUxqbK2d92EM8ir6L9SJTtYOUW4t1M79aQuak+21 +8wwLtCNnf+klx3qd9nMv+UTzin+V6XMQtN1L3vBu+KdzPB/89bnOqWXyrSuA +Z6pi32mrLV8kFmG/f8vcwyFlYn7aLdovxkk6Po+xC36bAV6HcZYsk1Nd1LGL +2POz+Vs7OUrfkfbQLO3YoNpZ5myXc35qLzmnaB/SPoD3pOuOb7B2Ozm7F7ux +B8y/GevSptPeM+dk7mls6CPGg4q8L+MH7WZc81Xmrcawby+50ft57hGcP5Pr +vMzanY42whxwmW84TNnQyzwyd/B9mfvfp8za9lznujaPdoh55g3Bt7r2ocNb +yRu9S3uMdzQXdIJObB9toLGb7zxx861bjbwxl/KE+Ubzl0XyOvYxLqp9OxF4 +aJk8jNgY93vdxPCN5R/bjs5URo9RJj6/B9c9V3lF+47jz+FPRp9BZXJtfhtz +NC/Qb3F+n6qT2MPh6vdO4g3mgLZ2fSFbb4We30uM83HlUyc5X+20i7mHE+nz +Ebxb6XNtE99zTb0Ibwn6TA092VwJ9Bz6PA9dDP6U0Mdpc4Mn7CT3rKz1Xv9r +dKH5MueidvQg+m1QZn59DH1U/ww8fif+2X7g9Tqxc7U9XGP6hb6zbbT72tHp +9jPXN16D/UbaONou5oBch+ZGvyiTs9ulTL77YPDL3Yyvba0t/VMveQTzLafQ +JmgnB/Ep7dR28oaPcO05GHu8TnJU5qrO7EZGiJV3+g7ez1vQq7rJtWlfKTvM +P97VSu7Od7A8dJjvgPYO7YtWbPO3tT/KyK0vy/gP+hHzl8kjfdOKDflbf2xP +7VLl7qBG9mqb6n+M3krtgnrM2IX5YNeMes+5MJPyuROdpb6alPZ1mbm2VBn9 +qX5Vh37Vig54oVkfP7WSW/1Q244+a5aRHdYP6A9YQyA+vJu8uH6b/cyFqx// +avSz96L+/YT2Yyt1Hr6P52nP0Y4tU2exJ/SOKv7BXt3k5l3P2rkHVNFB2hvO +TZ+jv5OYt/phz05i2yNtP/A1tLF8hv5821PasckebPypB6BD9XvbsZPvbfSO ++ufyzkjx0vqbc68Ej6IMgJ7Zjm/ud9I/0Af0O/j9j2nH5rYGQp3pezTu/HU7 +dsNXZfTUYc13/DViZaTtbI7iNegdZXTI7dB3uKfj2rFjr+iMNJta/3I/W5S5 +njne28pcc4NO8q03q+PrxDlmbSW3+VGZ+op1tdN7yfma+31bG0udCX2vnW+j +nrAW5MfmWy0B/hz6Oq2viW1Yy7J2ozvUIbt08w1nUsZwjVFdx4y5oNcFL1BG +zjqfzNF/SHvWudPML/l302ZQ90NP6kS2fsDY73O8D+NeC927mzXj2nm6Geej +Zqwvm/k0WrPGPm7mlXRYw//c9d3O+vN5fK6XHQ/eZ9ChtPnKkeUYrV/7Ixtd +D/sawyzzrYx7mPv9r5V1pZ0sfq2MbTKiWUN7tmNfuiYf6KT+apJOdJQDqWf3 +bua1esox/mnGHNKNrajN/HHzbK6T77ux9x7tRjZ83cgHa0H8fq7nXdVHzbfw +vQ5v3q15oI/s10p9gnbiw93EpA+Dtwl0T45XA+/eTa5Ce9cYzVB+W9l114ne +MJe6JPSsdp5VWWHt0KvNmu3UiZ3NDT6kTn76He2yOrG2+ZUVVerBjBtrJ2kv +GSecqxO7aO0y9SSvt6Prb6TP8q3EFa8BL9VKzNA8lfN8hio5er+nes1ntXbp +qVbmkfVK1oa5Bt9sR94axzKupT1zU5W6NWOk5omU35M3Ns7tzVzfr0i9gbU4 +6hzjgdoz89D/amyCY1x/VWrhzDvsXaSeyLWnnaLd6/o3J21uWt2vjWm+Wztz +yyI2rvr45CK5eGsjzJ1pj1kX8WiV2jNj9Q9XqRkzhj9dJ+9wdZ7rsip1hsZa +LwEv3EqM9PwqdQXGmY9t9LS5pwur1LYZc77AWrJW4uS/G4fleCq+28rcz4pF +auZOaGJw5sXMkWkrXQF9sErdmnkHZY61f7+UqXG01tE1cGmVekhjvOa/1I+X +dmPzafuZpzijSl2EeQGf23G0Ra2pe6EdW0J95Jg/lMkDqgvOZ5yTq9R7mF84 +s0q8xVyAOVD15M7KvUauKl/1D/UTZ270lX6f/t542l1808N7ySeqx8wz7lRE +v6rPtF+1Y7WNtXN/bPjeo3lg58m+ReSmMlO/pFfE1hnAfdRF4i2f91LHUdXB +v/D7uNDBRWoBlNfmQ98tk5s19/IUx7NUkY8fNHP7nXZkmXJMWaBMUJ675j9q +1sKwduKDylDn/ofN/P9MudjoAPNIT/pOqvA+/X9+O/3EytCPm3H2LKL71fvG +f9WJxoPNqf7WyMFji9iL2opDGzt5uio1Ztfzno/rpWZBf8Z5+U836+TOxq60 +NlX/zdyxa8Yaj+k553TOPbIX+asMnbLK+n6neQ8nFKlj1S60Hleda3512ir1 +d9pv5lrl+Zuy/fdGvmvn6Ctp35ij9zn8Lvoaf7RTt2mM2Fix60Len41MH9hL +fNRaI9+R/qo6S3mqXFVWGoc3R3CXsquIreO5vtdhzbu1vksb2FzJXHViYdYK +buozc8662vmcf36RGomrGzvV+pbT+O1161ug71p/iE57nn4vWUcAvg/8IvhZ +cwvg58BPge8y5gd+xripsXLOvxu6tutM+VOkxs9vslGR77JhEV/aa69Gv1uK +1GEe1tg8k3PeAr3Yx9d0U6uxTRG76GWu81pf/MO1itR56nvNVyXuqAy6prGt +zd1PaN/+1LM+Dn22L3GKZ6w36I9//zL4+f7Eqt+y5rTJvZiXd91e3E0Tb9BL +TN/Y/sKurSZuY/zmoW7iMMZjfDZjBfoA6iXzeMrnr3qps5u7Tiz9LfibQ0/u +xtebHHxMkdon/cAzOR7Wnz76NWMUjW9TRp+MVaXGw7iONYoD+H3KIj6wOSpz +VY+WqTFT96rHjzfmUcS38T0Zx9APsX5YH0E/7qQisUjjkEdWqSs2r6qvMFUz +vjVpxqqtObF2Tn9BX9LfBzR9PqlSQ2iOe6i1r/2pffsc+iHHb4Dfq1IraL77 +gyp1j/c2MUhjPsZBVioS1zCm8XUVf9a89stVau3Md1vju1yRmMjY6rUi72fJ +IjUhc8E/rEjsW530UhX7xNz6wCZ2av3iV1XsHHP31jmeqa3UaY009o6GbNVJ +Hmml5n5c0ys3+u6gJm4zPmNMoG9SBH9JO6SVvP8CdWK71k9aizywSEz2+yq+ +uTUP31W5lnUOw6vkJc3F31GkXsNYj/WWo7VT87lUkdpKY+6ula2a9WLtyuZF +1tRC5vbaqf02P6oNof2gvNmiwcqbrZtz1y1SY6cM9Zrm4YzXvMF3e7M/McWh +0Dc5fgI8iPFf4ngB6Cm0GVrJyz/HfT5WRLZYm71mkXiUz71s8+zmD5dsvtEG +zbH4ffrv3kpdhPG0tZr17ndeuvnW5leXap7d+pYFG50wUxMTtxbdmnTn4bqd +1LUaczDn+z73/hH3/DLnf9WOP6Zdbn2Ovpp1UOqlIUXivy/Bv177vU4c1ec2 +lqqfZbzm1jJ5/kPBN5Tx0Y5XN5WpsTY/qi15TaP31H/aGPpwN9TJ57peb6kT +Zzitnfou/c2TnWtl7vWlIu//ljK+pNe1Du5K8CuNbFBGGm80lvVMEdnl8xmr +1ef0u+zf6B/jxMYR9BHMUWqvP1Eml6TPq6+oXH+0SCzU2jT3dNxYJo9pru7J +MvnwZ5o+1gCe0Dy7eQdjj+ZaZ2tilcYsjWVdwftftUqezDzWs2ViAsbWtbMM +emsfaxsbi9BH9rzHyvjYI++znTi+Npq1T7sV0e/WG+o76ldar2HcwlyDNpc2 +unaXNXnaXtpdn/YSTzCuYJ3koUXywtpiBxexx8xtWe9vTl8/VD91sTJ1fMZa +jM9/3ImPbv7olsY3MA6q/D68keHaFOaPtQuMu7pPxxiL8VDXmfrf+khtO+06 +3+uzzbv9lbEmYu4e3EtOwdyK+RJtNGvijL2aR9C3vLCMLDfmbrz9gjL5FPna +p+YIlevmu40fGkc05n1pcy1tDXMhxla2V//xvfaETkKbFrwvdG71Gnj3XnSi +eYMrm9iCdRPWUBsfNqaqHlVXnqX/UccOtQZQv3pKzp+JcfbvZY6qq81nOO9u +a+5H3/aidur6zPvoG19SJmcxuMHWr+1inzLr0zoKdfOknfg48yr7e8ltrdaN +fW0dg7LHulHzqOaOH2/Wmr70Gk1MWNtmo170xZpNTPvAdurMreWwVuOp5jtq +uxnn1sZ5vYj9L1Xv+T6GN3Fwaz8fbO7Ne9QPsEbEGIqxSWs5D2onrm1szO81 +JvcwHseDoSs18tF8qXPOuWcO09zrFUXyr9aN7Ae9skwN5+VFahXGVy4zzj7Q +pzvxnaeHbtKL3afdaE5L/e56dA7e3XwLbWHlmvayOU3XwUF16mK19bXztc1e +Ya7uUMVP3J5xtvUdltFfC1eZz8pEc+nr9fJ97rGuh/O+svZXvQv/U34/G/oK +dBH63Gc9Hb9/0ZcYz3nd2B3mCKw/PBv+Wb3Il/v7Ijem5lm36Uv+w31SzpMn +oPt1EyexRs49ZcrSX7rZ/6GPOTZ0BOeN0ZdautEYZ+G+2OCfW/PblzjRo03s +xbzbBd3kVsxrlH3pZ58xOHfxvvhI1uo7337qpgZ5rKYOeTh0WF/iN72+HIv1 +HfUt9R/1a9w7Z62stuWYRWzIKYwp0P+IXvxHZdeyVd7vb41+G96OzlPfGY8a +3mBzLPo5+jjmGYwZ6SNqEyh7lVNjc/9L9uUc606tobemdLbGv9DP2KaXnPLq +XGsVbSCfq0wNgN9TvDz8sftS4+09O1+X6mV+OE+slb2kG1vAXNVA+s9D//8p +I8Fz66uUqfNX577RzXfyezk/9DWtEzLWXHPPC/XF37NGzxi/tTHuEdLOfbhM +/M3YmjnG5xt55TrVrz29SKzTOeT7UBe510A7v6iSL1A/n1enxsUcin649fLm +CLcvUw9uDnK3MnX65hp3KrNfSTu8rGJnua9rYCMrzmnkhvXARxXxhZfsxV/Q +b9CP1CfUH3QvmTVM1i9Z+6gvoR9h7tBYmXWYO3eTNzi+Tr7TnIs1/9YjWpdo +Htk4rf7NCXV8Tn1P60X/hj8t7/CQXuJoxtOU49ZT6rfrsxs3VsacVkduDW1k +l/sJjAEbr3OvgLlDY1DuOdBOcf9pxTeavy/xBmsnR22nDklZMQr81arUWhpH +sj7Kdd/frH33Thpj+b1M/MAcvzkn91Kq268rsy9VP91axem4zyWtb+6lNlS/ +SJ/I/bPaydrL1lMaFzAm4HO81TzLvU2swVyW9aD6S86h6Rv5qY2oz2dsTr/P +/J35o4PL5C+0+4x/nM61P+6PPHu7L7X7vjNzgtZ+G/s4Bf6i/dkH/HvzjL9C +t7TOsS+6wjoTcxbW81sT4rXMWdVVahisxT2VvkswzuzeL3hh91sW2RfwEMen +Qs+CDoQ/H/wLfN/98SvO60tNvX7UdtaM98VG0N9/Gv4pvdS9mH93v8BEvcSw +zLEfVqUW0RjvoVVqq6z/P7hKbZX7AoaZa2yl7vfbKjUA1nNeyHXW7I+t/0XV +1N7A/7BK/Yn13lsb46XPqFVy2drp1mYcTpuePvN0862t5dPG2Ub7k/6jV/ET +jc2+rk+k3diXfQ0fVamxsVb84yp1ONaQm39Xl1pDOKJK3YJ1y9+4b0V9wPi/ +VKn5se7UeXJikb3SrtkjG/l2ANfZvy9+ftms/X6voyzsi71mnfC94BN7iYds +VmR/pXluc9a9qolBFolDFo0sMpHyFG1L7YRucuX6IuvUsROuos/KvdSwzFBE +PxmHeYj7P6nX1IgVucbxXH8++NNy/K56pJUa4J2L2OjGOreEP5h+f5eZxx/0 +ZV7f19g08o7rz34h9wodA52zP3GKv6vUUFkPfBz8ufuzl9qY1f84PqOXehv9 +r8WN9RZZB8Zgt+6LLlePa2PvU2QP7NlVctCLGuvozx4k9x+dCF2A4+mL+ObG +FtyPrO26VvNOrnRN9cdH7e9mL5v1/PtUqe+dwZwF7YJW9iMc0sm+M2X73lVq +d6c3/ldlj6r7I8w1G7fv0/7pTz2nPlrVzT4790HsViX/OBW8wVVqEacD/1Ml +/uDeiv+q7HV1/0XZzZ479010u9mX576JfavEpmbUJq0S/5kVvHuV2uCp7csz +rtefeIo1sdqHS0JPUreqN7VJq+T3FwefU6WWYDHncpWc/sLd2Gnah9qJxu6N +vS/B7xcx/tr98e2Pq5IfX4D+l8HfGP4q2iBer5U9FMdXyfUvSJ/z1G3gJcA7 +0X/HvtjmJ1Spu1gI/nvq//7UG/5eZW+s+zV+rbIf1v0g43Wz99C9eIdUqfm0 +3nvUbvYYundgtG72P1rzP343e3vdrzd6N9/Umv8TO9l3rI62Vs+aPffojdPN +HkZzVdsag+J+JjJ+0+hE81azc85D4DMZ4yrnmzaU16ySI1sSPG43+yLdD3hl +lRzrUspJdWxf4nR7VMkhDzDOB96Wa00C/bPKPl/3pOzUS7zGfVLux70M/gH6 +E3Vqqtyf+0eVvcDuZ+l1sxfSfTruRb4FfAz9F6lT1+je5Im62a/tfsNv+1Mb +rD81Sjfju5fn/E7qRrRnJu3mXblXbpJu9m67h3HCbsZ3n+PE3ezvdj/jY1Xq +KleEdymDb9CfvNGodWpwnWPn9kW2Kletd7Jm1TrrnWhf90duK9fdg2C+1Lry +aYrUB0zQ7GdZvps6GfNo/+nH9FLr7Fr7s5eaY9fF5HX2HOoPTlbHh7deXdta +G9v80vh1cuHLwh+vTr5zmW72QahXrSkyRzRbI6PMu5h/0V59okod5krd/M+N +h4rEyvS552ju/40q9avumxijih72/0K8XqUm1j0UPt/UzTOOXqcGRVn3Vy+1 +3c6T/3qpRVAOfAr9Vn1SZe+YuQr3Pvfq1E+7Nidu9vWs1Dyvz2ou8dUqNbHu +JXHv2nf8tmKVfI95H23viZr9QX7H+YvUjXmNCZu9RStoh9SppXaNv1alRtR9 +KIt0Uj9sHEldNG2jj/7ppa5ipCztpaZB2fuiOrqV/Sx/91Ifr5x8oUoNsHtY +3q5SV+z+FPOxCxTJySp/lcNLVdGZ0zd687kqdcLujX2+Sl2x+2KmqPPu9F+M ++2n3Wff+TpVaZfcujVKnply5NG4Rm1t7e4w6NUzKTGvw/M09zg9VeV7npHb4 +063UDIxTp2bLtf9IlVpf35v1gcYSVjR+wlr4sj8xtsfAj9OuB99O/41amZPt +OrUsyvzbqtQ8Oz/HrlObpcwZs04dm7J9rDp1Wsrbss6+Be0laxGN560Ab9w6 +9V7Kruu45vb9yevsyPhfWb9bxc6ctYhNYgzN+sHVOW+0OntR1Cn/B4k35SU= + + "]], Polygon3DBox[CompressedData[" +1:eJwtnAXUHUUShZ+O/Li7Q3B3h+DurgGCuwd3Ce4uwd3d3d1hcZfFfVmW/b7c +OSed13eqp8e6u6puVf9TbbHLmjt3Wq3Wo71Wi3+tt+pW6xp+D+23WgcNtFpf +dFutivINx/5NmQR5zQkVZSLqz1PO4/ietN+d9iuCL0e2WbvVmor64Zx7Ph2f +wLHJKJdSv4hyMvUzKUchvwB8IvUpKPtRn4Rj13L+TuBH6OMo+t+K/reh/zuR +P4b8OmTvcvwF5OfzuxfyPZD/xvFpaVPy+zx9XEzbDcErgVegDKP97hwbw/uh +fi+y58B3gT+lnxM5dksvz+CzXEt9EcrM4Aspx9d5Bu99BepLlq3WZdTHpvy3 +aLUmpa+FkM8Ivp7rl+BPKS/S92eUI6jfhvxK5JNTlgZfBj6b+je0/5T6Oxx7 +FnwW5VXwi+B7fTfIf6X+GuVR8Dbg9ZDvDB4VvDzlbXDdzbd6Avwt5X3KKZTH +aN9D9gnlQ+QfUFblGa7yXVF/uOI8ZP1uZE95z8h+Bu/EuStQxvJ9gD+m/gVl +HPBS4K+of015nP5O5Lzt+B7b8z2uQH4b8m3pZznk8/C+bqO+DPXZqD+M/E3k +T3ZyH49x/gmcvy3nb8f5v3NsEG1G4fcFzhmNtkU373IJ+6C+PfKNkD8EPoT6 +FBy7ifoeHBuf+k+U5dt5hqOQT+M3oD4M+eHgqcC3gPcGL0r9Yo6dSv0TxzD1 +CTl2MPVR23nX03NstE7e+SvUn/J86g9TngV/yO/+7Xyz1Xmem5wv4Gd5v99Q +P482x/P7IMcO4txzwMOdT5SvKWeDj+X3fuT7O8doczd4HepjIlusm3v7nHIg +eDLwDdR3pc2XXh/8BvU3KYdSP5djx1GfhHIA+CzwMdQn8BrUl3G8cP6NnYzN +bSjrdzJGD0Z2K/gK6hNTtgUPBx/QyRwbFXwseH/qBeU9rwnes5NvsEE338Rv +8V/wwjzDLtT/x/c7uMpcPAX5YZ3MyeOQnww+lPoS1Beqsw78RfuDaP8l9VOR +H87v3fS3rt8GvDv4P+CJwfOCpwVfA960m2/st21RjgHP4xigPhXlaupz9VI/ +nzIl1xuH35c4dwfqG9H+MOR7ec8c+4053qa+IGVMxu/myI9Evi+4Q9mymzHm +2OpRFqLNQ/zO6dzm3A+oH4F8n07G3DlcYxJurcd4X5Tx/l+Oz9HLWvgq8ncc +S87xTtbELelvll6+3T/09w+/u4KH8PsO8r/53RG8Cb+v+U3pf336n5/+16f/ +xcEHIxsL2TG8zxb9TQhez/FB/Truf2fO36yTPm6g/Xo0m4/z1+P8xcD7cXxd +zv+L82+g/W6036KTe+jRx6T8buz6Sv1dfg9CvlsnY9Rv6rcdl/pxnD+8zprv +N/ZbL8M5B3WiY/7k+Vam/2HIdwT/xDl7gk8DH+EzUPYFzwwezz4dc/SxAfe7 +APe7AffbRr4H8q2Qvcv5N4H3BA/t5NiK4H3A21P/Afnd1J/h2B2OZfrZg/qM +vVxrTMrNzgfKNtS3tjj3kI9oxv8O4BvBl1AfoNzJMy5Mv5NQTqV+O7KHaXMN +sn/R/13Ur+TYueDTKJ96HY4tTfsfkI9F/TvKK60cG0L9etpfTLsu5b5u1ljX +1nPAe/L833JsMPgarvdQN9f0Wlc7/pFvB96Q+nzU/4v8TsqB4PU551GOHU3b +oby/bQfyrJf30rfPrM50nr5I2+2p/9iNjlA3rOj53ehodfO1HH+CNidR357+ +dqC/p8CngHcE7wTeuJd37LtdhbJ3nW/utx6H+pOuB7TfgfY70v4Yxsfs4NvA +t4EvQD4DeAzwYuBV/NbqMPqaBdlX/J7BsaP4vVf96RzvZW4+B36ONmdy/u6c +vxvnP9TLmua3dE1/BvnpyHdFvgvyZ8FngHcD7wpenfuZvpu1aDrqFyKfEfmY +yBdHvozP71hD3qI+tBudoi7xHtfkG22HaFnaT+X9d7MmuRb9TJvlwVeBzwN/ +75xx7WrsG9fg45AvCJ6B+iDK4tzDBfz+TtvvmD/DkJ+J/OhO5sjG2k7aYK4f +2g/d2DjaNn+53nCP13E/h3M/h3A/Q3qZY86tNSlL0/86/K5FmZD6KMgXRP4W +577nN+PY0sjmoX4y198U+X/AL4NXU2eUuc8ZwMci3xj8t/MNPDX1Lbn+7e2s +MYvW0SV/Ir+5HZ3yA2X8Xubqk5QB3t8I7ndq+lqE+10Y2eq0/xXZTM4l+viO ++reU0R2v3jdtfgE/1Ywxx9qP2jbahr3YZNpiW9L2O+7pSPofhf4XoP8e8rfV +G451yr7g37rRNTtwfLVebBZtlSUaXfUP8nva0Vlz93IPXntqdSL9n0b/E9D/ +wvRf9fKMPtub7aydf7imtLOGngT+n/aqtg74BOdINzbGas4FyvzUZ0N+Ie/m +Z/ofTv930P/19P+0awHy69qxKdQtv3djq6pjduCcc133+P4L0n5R5D87D5DP +wu+GyPdCviby6Z2/4H3Aa4NnBG9f5Xl2As8P3gZ8HHhr8DzgzcEHgjcEzwpe +F7wzeGXwNH6/bmxMbcuPKOsg3wn5SsinRv4pz7M/+Bae5zrw6L3oQHWfNukQ +2h+EfCPaz4b8f67DfjNkr1PqXnSkutEx69wqKW+0M8e25fzjOX8bzp+X8zcA +7wleAzxoIN9+bNp/2c4YWA/5LshXQT4t8knr6LaxHd/INlcf9mL7/Mg9b8ax +A2i/Ae1nof1G4L3Ba4FnAL9WZj34CTzTQMbyRI6xdsb0T/Txt3Y09zG6cxH5 +JL3YPn865no5Zn122izZjY2ube49z1VnHi5IfU5tA66/q34A15uO643PsT+Q +PU3ZTturl3fou9tUG4f259D+Xu7jBtrv2My/YZy/EHh68ATgv33PnD9zHVtp +Ducj9UWRL4Z8CtqPTvtB4PHBf/mOkM8KngJcIG8j75Sxi6fk/Db1U7R/kI/g ++lcgX5L2K4Nnpv3Y4GnA44B/pb+/6O9U2s8Kfpv2dyIvyvih07r+Uh9M+1WQ +z8L54yDfnWOF9g7/DQdfBF4IfAX4SvC+4FHBC4GPA8/I+ROB25z/j/YLeCPw +guDxkS8N3rCxR8YDLw/eFLwIeAL9ZccIeDHwROAVwJuBFwVPCJ4BPCH4H78D +/Q+u42tOyP0vSX0x5Isjn5L2Y9D+I47dCj4OfAx4KeSrgmcFjwteAryk6yV4 +rIHYkNqSk9HfZ9QXR74E8qmQj2l7nvdZxwptRqU+NfKxkf/smONaB5TBD3Hu +TQPxXdqUB9rxYdS9Egv3taOD5+H86Tk0Ov0XtJ8LPB14VHAPPDd4EHg0cB+8 +Ldd4pB0dujT1lZAPQb448omRj6DvPuVx2pyuPdcLB6Dvv7DjvI4tuhh4Aerz +UtbtxCb7H31dQvuC8gT4DI4v14uNoG0wH79T0WYsrvejeohz5wBPAx7g+h2u +fyTPPzn4Ap7/cvACyOcAj4u8Bi8Engs8PngU8ILgOcHjgQfA3TJ+2VT6c/Rx +NHhK5KdTvwT5nLSfVv1D+y74btdI2ozm+6xiw2nLLQK+EvxHlbV9a8oj1F8u +opum196nPn+V+TAW/VX0tQh4HvCE4NHsGzy3+gg8Kng78KmNvTYfeDDXfoW+ +1uaaE1EftwyvMp/2Lf0fo//Y2E/6hHIhx+szd8KJLA4+qRtdMlsnvtMW3diy ++lD6Wpt0Y5voc61E/2d08y3GKOPrrd+NraLPt4a2UTe6drDjq869+Y131JZE +fnY3Y2HRTnztQ7rxZfW59QVu7EbX6xNc75rK877C817N815NH8uDZwCvDD6q +jk3jGjqHtnAd2+IX2pzDu/qliJ9YUH6m/msRv7MEf0h9V9pPrQ8B3qKOTlA3 +dCkfqKMdn5wyL9dbl+utxv1808333gj5xHW4t9HBl7g21LEjtScvdm7WsWX+ +oI/zXGu51xO6sYVmpSwPPq0b/aGdcBN4rV5stkspfxTxYwfo43fqV7mm0dcg +7mcl7me8OralPvxODVe2CWXVTjgzub25uuGa5PgGUV9X/6QTm2UN7mlb+luG +/qakv8+RvaB9pI7RLqS+EcdW7sRm+oBr3Ez7Y2l/FO2f036hzfPI79NfAK/Q +jW28HXhl3tc14A2oT9q8u3G78W18h/pS43Tjq+hT6Vuu2o2trY8pVzdA+bEV +zk7beX/w+J3Y0B+D3wO/pE1LeQx8Sze+oLzWNdzvCpw3I/e7Cvd7LXhF8Ezg +VQfyLi6k/TKdvBOfdYT308kzy33sBh69Ez95dd7XNvp+nD/FQLjUI7vhDuVU +5TqO7caWlPO4gPo6HFu2k296nWtmox9X4/yXkL1MmweQ1TzzqOAFurE1P2zH +t5ivm/VTH2Mm6ptzbI1O1vBpu5lzzjVt9nPBq4OXdG5TrlDHN/p9Oa53g+uN +ult7lfpCtO9Q3m/HJruc9ovQfnLaL0v7y8ALgycDL6P+cez3Ygt+RpnftYLy +QTs22xvabuDHtbXb8cXPAi/UiU9e1rFlZqLP89Wt+ubd+Jqra39z7M52OJGd +5Xa1n2k7CddfWj4ZvCZ4TvCa4Dt6eWe+K334D50DyIcjPxr5Xb34RPpCctQt +rjUG+FPwvyjj9nLMupzbtr1wPnI9jtkD63C8crsPcW8Xl1l/nqT/u+RvuuEA +5f7scwvaHI58M+SzI/+Y828DHw8+FrxXLxyI3Icc7Edl7PV/kM+FfEvOPwK8 +OXgO8FZV/J0h4DkHslat4BjpZM2SS7+oG65ZTv13rrcW7eei/VoD4fJnR/5w +O5z+5N2s+a71+jAj1MG0n4j2gwfCxR1Nmyk74eTkKmfthhuVs9S3HQ6erhMf +d0q5EY7N3YlPeDr1Gbvx7Y90DSmyzsyrzaDNps3E9abhestrXxcZt3PbP/Wl +eB9zuZZTRinDjc7cDfcqR+rYPge8WCdj/BL6m4/+Jqa/pejv4jp8hPp+SfAo +dbjDYzh2eRUuaNVe5sZITqgOdzIM+aXILwLPRn0czl+C87+i7UqURToZw6eV +mQ/3I79nIFzbnN34nnJuY3TD2cvVy/nI7VzVDZ+nXSBXtCxl3k44o93rcOZy +5dtQP7KOTlAX6Du6dpyPfKlO1pBdwNd3Y/tvTnnbmAjXOoz7OZj7ebwbzkyu +7HrkLyK/gPreyPdE/qL+mO8bvLb2fB1b670i4+XmMnzdG8369I3+J/I5wGu4 +fpYZXy83+qddx9b7V5H5+B7yQ5H/B/mm4D/lYHyfRfim/4Av8vsU4Y/+Al+s +/VWEf/oX+BDwn5y/ietVGf37aqPvbyzDf77WrOc3leFTX2/Wc212bXdt9oeQ +7VomjnZhP/bxLuXI6d66oB/78U6uezz3fwLlLuovIN8d+b+Rb0hfmxTR7Ydq +v3LsJeR7IP+W+kbIjygSyxgZ00D2R5n3PXaReMvr4H21z2m/MXizIr7oEZQV ++/Gj9aePcq1EthvtOdS6qB9/6W/wJdqDyHbWfwZf6nwtwn99U4aPK8Fbgb8v +w4+NCt56IH6t/u2x7fjo/y7D91XUhyK/Erw6+IVmPn5ZJl7UR74F+HSOn6bv +Dp6d8ksZ/mDMInyE3097dPwi/uayRWyv7bneWdS/LsM3FtS3RP4++DD9S7+R +62OZeKJO3ubyEfyOw7njUU6hXstp609R31s+Bny9+gy8l/6S8T7nfxH+T/7p +Rv0l8D7gsgp/NnmR8d+rEk+dtEh8tKgyfyYrEq/8pAzf2gYPUd+UiWeOVST+ +9UMZvnG0IvHPFudfrn4qwlf+WIa/HL0IX3sfvydpe1Hu957LkbRj69J+/PG3 +u4kRGRt6ppPY4GvgRzqJEb5M/UXKg53ELV7pxmbQVvDYYG0D8P2dxPye7SYG +ZuzrTtdf6u9y7MVOYpTblbHZtNXmK8M9vQl+rBM/5fVudLi622Pv9BLDNHZp +THACucVu7tV1ZHgZf+jOxp86roz/eFfjrxxfxn+8u/Fnni7jb3/Z8EfPlvG3 +v274GufXUPB3Db/zTJm5/FXDR70M3hr8fcN3vVrGfv2x4bveKsNf/d7wWW/y +fY7mPm/i3c8Mfpdn+Vhd1UlM980y8++3hv95uwx/9EfDV71Sxt77oeGD9ixH +fvLWJf3wIyfXiZkaK12lji11H/iGTmyqC2g8E7/fcv1Sf6UMn3JL4+8dW8Z/ +vaPxP/eRw1VXNfyF/PrU4Nsb/3VvsMPusn74h3vk+7nea9os6ieOfQJ+hfqm +TV0bWdvYY3KTnmNbOcoPuolxG9u2j0PL8Cc3NnzA/mX87asa/udxY4Q8z3n6 +UQMZe+Yq3NrJGHya/h4Bb9fOsXu7iWkayzSm/pbcAOX2TmxEeX7nywS0H4M+ +31d3UZ7rxKf4kPoH+iSdjOFDyvAvNzR8xEl1xrxjfS3qByIfD/m1DR9wcBn+ +6/qGzzioDL91XeO/b60Px7UXkn+QUy6iu5+mLEj99DL28AONPXAHzz9pO/6H ++RTGJP/ULu8lVnlXFW5Mf3bqhv9V15/ejW7XPx3Ubuwr6hdVsSu0L+Tj9Cfl +6tX3s1I/sUqsy/ia/JL+5Vzt2D/GU7RftK30X2arY+/M347/Mnsd/1NuX3tt +2jr294zt+P/T1Yk7GH9YkjII/DnXO7MdnaBukEOSSzpN+xbZ6ZQTG335vvkJ +lPOoL0u5nfbfgy+gfr6+HfWb5TSKcCifVbEnzDXwnG+p34J8dm0L1wTwv+qs +70dw7FDnW5V7OYv2X1D/Wr6znfZXl7m+9XOb/rqUq1pZcz+sEkNYiXc/QS+x +BXNkttN+7SV35kau8WAR/nHMKs/7cJE5Kpfm/T8Cfg68axWO1TX9yla4VznJ ++YtwnHKVcvraFGe3wvXrI8zb2Iz6DnLktyI/thXu3JjZM0XmuHNdTvSdIhyn +XOmtrplF3qnvVo5z4SJzVO7zePBSRWKT+/ltwHsU4ZfOraKv5Ye1cd5TN1bh +QuRzJqjDKf/EGJi4F67ZmNf8ZfSDsbBTwJcbt6L9YX5/8H5F7PURfgvwPUXG +hGPjCPDRfLubtFmqxHiW5X2P10vs5wzXlCJjVnv7JL9xkTGpP3gm+IAiY1h7 +fbYqY+/0dsbPR5SptQ0on1TJkTFX5kLwD/peZeJ9N/UTv/fdXuS1KHU/PLbf +ds92OEI5S7lLddAjnPtkkbF7BeXPXr6fvp58yHra5pSh7axfa9Z5R74r16uN +5O/r6G51+CnUN6jDtatvNqyTM3J3o2vlBuXFHTs+o/NMXtP1djfwOdqWRbij +Xfz+yE4u4w/f2088cyXjD/qPlOFFeET5xH3a4eTPKOP/P9j4QyeW8Zfu6Sc+ +O6IMP/JU499fUoYfebrx/88FLwV+rPEP162jR9Qnm+hblOGjnmj880vL8BvP +NHzD+eClwY83/pn5Tdu2s55vTH0N+QDqTzXvRz514yIxF9+nMcejee5POolF +3lyFuzNX4z/Ub6OM0k7+kPkPe5QjUyhal4N/Ad8xkO/o9/wV/HcV3kT+xHjL +7QMZF46Pn5H9pI/fzpj5sYqOU9dNps2hvq3CDesP/0P9fvnydvxrDTs58Qu5 +XrcXrvy5Mvz4N/3Ec7QBtAWMHX2GfBXO3wL5EsgnHUjOhbHQ1brJxTDnTV2z +Xze5cI6npxpfVN1xVZW8EPND5NPN5zAXapducnccr+bGyf0tq34qw6vr8+n7 +ec1JKCtXuRf5a3ONru4mN2HzOrlL5jCdrr9UhtfX59P320yd206bIXXse+Nz +/234j2/L8BkDReKP+h/yI3UR/vpMrjkF5+8APtf7KJKLtAfHVvCY+rWVNcK1 +4rQquRvbuMZ6764ByOcqwvecbTwA+S7g88Af8bs28tk59jH1qkzuoDmEa2j/ +uqYiG4rsrIFwtnK3b3P/Fw40HDLnnwc+Hzwx+CHwnEX4z8nAj4LnKcLvTAp+ +BDx3kXjPOOC7wTMWyd8cF3wPeKYi/vp44HvBMxeJ70/gmALPCj4MPHqV+NEg +8P7gMarwSdODDxjIGvtAK76Za6+cvNyQHJFcvZyz68eV3P8FA+Fgzc0zR09u +9nBt0n7WbM+fiPYP0n4O+jsSPL7zBTxLEX28VZFY1zGUIV4TeZ/6WtRPHYjN +ZSxGfaYtVtSJrTumzRfTpjU2pw2nrasNZixFG1jbTJ/XNdEYlr6wPrpr4pit ++O7Ox3OLrI/aosY7Nmkn53Nuff06sXrzEQ6oYvMZy9JH0RbUhlUHGCPStpUT ++LlZc+UKtKmN7Wkzamtr4xsL1abU9pfjlw/4nD4uoq815OfBe1NW8R1V4VZX +o36y/g+/G3PumNpM1O+r49+q49R1R1bx5dbTxtK+1EZsR0eqK/URjd1qs+o7 +mtNibp45eua6vFmEa9uUchr1W+rw6upodfUbRXJhNm786aWLcOlfy7mWsR3k +1T22jGOa4lL2G+XoIv3Yn3y9/Jz6ZnXqM/vMTfuV/Ba0n7fI827Qjo26EO9o +vDKxCGMSa5V5Lp9vw3b4QG2VXzl35XbiYS9Qxm3F3nnROV5Ht2sDjbSFquTd +Xlkk/tvvZ21erZ38lS8ot4MXBX9J/SvKY+DFwV9Tn6lMXpf5Xea7rs/5+7Uy +hoyX3V4lFn8Q9RGuT0Vid+p8Y4Dn1eGCn6V+KfIVOH8HdVU7+TXyF77r+Ztv +PHuZa5lTtqHcSpFnl+Oetgyvpu2qTfuSegj5vu3YW5dRn7NM38Yf5qL+GPe3 +s7YSbS9Tv9bRVdo52pLP8TtVKzrs+SL36f2OaPC7VWxBbVRtVTkvbXntt7up +f1DFdtbG1dY1B8hctON7yQ3qcN231e+txNx/4/hb1J9sJUZ/AvJ3qL9GmcE1 +tc739Ttrm35cxXbT5tb2HlbF37qY804A31xnPDoutW2X4Pdr8Bmc82iRnO69 +GLs395pc7yp82q+cf/FAeE15CXWSMcOxyuR6msM0NvVXiuQ9Ooa1l3xfvhtt +kqofX0RfQx/oxX5sBm2JEf3YEtoI2ofX9GM7PFXE/rykGa+vIT+E+jvIr/F7 +gA+wPbKrnI/aqOAvkF87kPHuuebz/96Ljautq8+h72HM+YwiNp2xaMeDcUFj +SeZ2mb/l2DfHbI4ynPkp8sW9cOnmpBhbNMY4lPqwIrFX40nmv+5DmaUdzn00 +5PsW0ZXqEHWJcvNWzF/5gfqBRWI15gf+VSRHVW5bjnsb6gcX8aXNSZu4TE7a +Fci26iVXze9h3Nd78F68nrHk5xr9fEiRuMurzfwVO5fVWequycvw3vLfhyKb +skyetd/Ub/tvynLdxCGNPxpfcO1yDDuWzWHdHvkJveS2blpkbTbHdRrwDGVs +JeOl5qg4X83rMoZhLGP8MnEq34HvwvVVrtI12bXZe/LeXm/Wm0Fl4iCu0a7V +i4Lf6iRPzfw035d5fObzyT+MWiW+Oi31YXz7s8rkKzzST/7HmWXyFR7uJ79E ++978hof6yd9xXXR9NN/9qiJxM/0FfYT7qJ9dJp/g0X7yTT4rww93i+SDfVAm +n+zvfuJPn5fJD+sVyb/6sEx+1P/6iUddwf0u0M5YmFv7nl8VyCzNeLmkiC/i +mubapm/ru5XbnLFMvMF8oTf7yce5vEy+y/P95MeMUsWXnMaxAr6lTH7QW/3k +87xbxBY152RZZI+Wye/5oB+7dq8qceWP1BONf2K+07P95Cf5Pb1/ddQE+udV ++PyPtRGQX1Ymn+e5fvKR3i9iO5ujshyyukwc33j+XkWwfJ825gD10arEI6fz +uzT2/4quY61wg3KA+mzmUMkNygGai+I3lRuUUzVXxW8u1yoHaGxr9oYvkFM1 +V8RvKtfqGDFXyHt27DgmjP3qAzpW5GTNJXFMydU6Bsw98p07NhxT5i75jhxr +vmNzp3ynvnu/0chc7la+nTlT5k5t4vgCT9qPb2g83hjZ9P3kEeg/60fPWsbe +Md69YBkfT9/ZHBp9vwXKyIyJb1+G4zP3SE5Z7k9O0lylQa1wleZkmZslp/yA +9lwRXWnMfkiZb2ysXZ/Ub++YMvfKMeRY85uaa+YYvKxZD8wT36Cx19xT8DXf +erNu9hqsX2TviHsOzMfYXh3XSj6t+VqOAceC/p1+nuuVtoc5U1NQ35ljV7SS +s/N5s37pu5vjN1WZ+eNaq02pbWlOz5Zc/69Ocn20Z1xb3tSmce2gLNBKPugH +jf3j2qlPujv1wZTvWsmf/ca1sUhuhjab9p05yWvybNf0kqv8SRHdYM7BpuB1 +wcu2knNmvoz5aT6rOcTufZA/de2SE92uWe8mamfPxvRl9hzsQN+HdbMXYbci +/I17Esz328l31M6eB/MJ1Sdb0/5Ag3RlctwGg3/pJPdNf05doc+/QZF8HZ/d +nNjNG323jLZWN7mZ61B67eRo/tzYbNpE2kf6+ubM/8G5M/SSS6/Np+0nH31C +lRiee6eMYRnbMwbkXihjZMaGjCkZWzXGaazJGKe59cbkjH0ao9qnn5insStj +nubOG4MzFqrPaG6ANqu+pDEo984ZQzQ2ZYzKvXzGoIxdGSM198uYm7E3Y0zu +DTimldiTMbJ9+4mpGjvTZ5NLNYamL6ePaS65HKu+pz6pewuNgemrHgg+pJ8Y +2ad1dNAB/cQc1U36rMaajanpy+oDmwvkGqdvrA9u7oU+q765PrC5j/qskzb8 +oL6q8UR9T2NmxgCcQwZW9HmP7CeGpy9sDM9c1hGtxPb0SY/pR0fqq7qmHthP +DNC1Vn7A3MnN29nfYUxwtybGYKxQvlY7VXt1pyr7TNxvMpHzu+EPJ22FczgQ +PFMVW/dZ/c8q8dztW/Fhjm74WO1g2+zs90H+RCs+aFdfrE5usxyNXI15EuZL +nMr1pq+TEzcUfGU3uXK70eYFzn9Jm7lKDsyJyKfrJjfG+KS5CvqQw8HzVtEl ++rPmPpofu1wrY/7whr91Dsj5/lAnR+wAfbFucsf0UV1DzHfTd9WHd87Lsenb +j1tnLTPf2f1h15XJRVuHcou+RJW5cmYz/oxJuzfDGKmx6qHIx28nR1y+Wx/X +eev81fc1P9t9e3JW7j+S4zion5iq3Iccx8H9rJlyH/dRtmw3++GqcECuwX5z +v70cvly+be6twtFf2coac0YVTsh10fVRrkj+2jXImM3PdTieb3uJ0cj9yAHp +x+rPyg2ZP7VmO7kufzbvf+ZWdL76/KLGJzSGI1cgBy8XLwfSr8NxqQPkEOW+ +xpKjbGVNPKsKpy637n6Fqk6M2b22R7cSe966yv6B4dqnVWLuw5r57nrg/ibH +vvm+5tPqz8oNyHnKffo9jD1o82i77VtlLiwJvroKpyq36n64m6pwRvrYxpDk +kozxGOs5u514jT6XPrT5pvpi11fZe6QNpS21dp3YnByvXK97LtWf+kTPV4kp +DGvsw6eq+Dv62frbD1Th5NQr6he5OtfnLYs8k8+2czkynXOkT/xoFZ9Ynly+ +XF95lipckfyOfM+DVWI5xifNx528ji9jjM1Ym5yu3K77Qe9uxrdrqzrtpCr8 +/chze9kLaozHWI8xxFN8l+BXW/Fhd68SAzQW6H7NlajPVyX2MEVj771UZS/r +g/R3QJ38HPlHj71cJedVP1Z/9gW/ZZVcEWPWxq7Fzi1j3Ma6HR/memjTa9t7 +PW3LvTj2ZJWcaOMe3sMTzftx7TCmK5/2VBlbTh/19So+qnkq5qvou+rTmgdj +Poy+7nyNPlKfye0agzIWpc2t7W387uVWbJDbyvD17lWsm/nvN/fbG+9yvTK+ +Z7xgOvpcUduyTp7b2u2Mx9mrcIt1438bD1DWb9ar1arkByzV2O9nFxkbjpHv +ehkTjo0xWhkvxnPdG++c+KlMfGwt8ILgC7W3qox1n8H4o1h+QJ7A2OVjRfx1 +YzjyE9oU5o/d2o+tIc8h3+H83q3hB3x3coKvVuETjD1M1Uq8dLoqXKMxC/kG ++QdjF3JixjNeKsJHlNojvcRrjc9My/VW0HavwpU6By5r7k/uxDEvpyCPJp8m +ZyF3YUzRa1/dD792fZFv7xjQrj+/CBcvx2YcxHiHe+emadbP1+rkJ2kjaCu8 +XsdWUCerm9+oo5td013bX6mzVrlmqdtvA28FHtxPPtWbddZ+13zX/pfr2E7a +NNo279fxB7UBtAXeq2MryGFrT7xbx9bRhtCWeKmObaYNpi12K3hL17t+8rse +qpOPZL6m+VAP1slf27SffKql6uTmbdHOerBynb12Q9qZz8aDlE3RrOfG/5W5 +JrSp/15lX9LXrayvd9fJH3P/kvlPd9XJN1u9n3y5B+rkv23ST77UxUW4ZXXM +Rb5/5AdT37if/Kw7tRnAq/WTL3dvnXyz9frJX3LOOnflKJ3Pa1N2bGVOO7eX +q/KtF274qsub9a5ThJ8es9GfDxTh63Yt8u3lVM/tx1aWL9V+M3/j2zq2rDpW +XWuMV3vll374bPX3yL0Rrehn9aP21hX98IPGgGcC39xPvEd9qL31WT98tvaU +e0fUmaNSr+vsnbaN+nKTKnyuOknddHORtVEbxHjF5MjfaMUm8/y9q3CVrztG +qnCQ8nDycXKT5jbf00supTnO39R5Vm0ObY9ti8SjrmjG7L/r1NXx6vrrGnvs +6iL835d14lHaQNpCa1X5NtoM2g47FhlLvkP9gmWrrBXaINoicu5y7/p88jm3 +Vtlb6DW0x3yeq1ux4bXl36liK2gzqJ98H8ZufEfmRBkv+V1bqxV79fYi8TDX +w9uon1xFt6mD1cXG+LWltJm0ncwBkT82x0D76pUq+zXm4frrIJ+iylqrTaVt +pb7XNtUm1TY1nm9u3FWt2D/ypNoG2gj62sPK3Jsc8v7IZ66yFmmTaJvo337f +is28ZBH7eTXqsyFfHfm0VdZOv6nfdtUq+WWDGz7o2ip5uk8139v5pq6UwzKe +83mdd62NrK28epH4jj6xezCMb/m3EBzD2nfqP9ezD/vhr7+o01abWtt67SK6 +yjEwV7O+qnu14Y13mlPpXk/fp7kb5hgvUkanmHtsTNW1yjXLWOvQBh/e6F9t +MG0xbWr3O8rpuddzeGMPGKOXE/SZjN2b82kutjrEfB85PvdamuMp9+ca41rj +mmRuqDl0NxaxQbQ3zGcxr1Sb460qOXTmnO7f2CdyhOauGwOWO5RT3Ly5X7lG +cwLM3ZajNFdADnGLIvNV+/SJbv4mzKet5NSp09XtfkPtS7+h33Krxt4wnm0s +fQj4sTI5ye4VMGfZeLX5Le7t3lb9WWfPi3tftgEPrbOnw70d2hBb1cnZXb6f +9UXfTxvBuXFcY4+as7puP2uuuazmSBvTcY/Cd3VyEt2LK2dqrqI5EfJx8mvy +Uepsdbc2zy91chbdi6v9Zi6jOSz+LQrHl76pORvurZ+xlVwOY/bG7h/X7yyj +Qwc378dcSnXcks37MbfZPUzuZTKH+v4yf5NBPk9+T+7UOevcNef6xzo+ob6h +Po/7RcwRd9w6fs0f8G9Q+LcozMF+sMzftPBvW8gPPuzz1uF6zYl5pkrOinvx +XePNZXH90pc0R8790dp82n7LOOfr5Jg7z5xD5p6bk+LeFPlMc1XM0XRvsRy1 +uZvmsLhXxZw9c1scAz6XXLBjwxxx9/7IB5o7bk6Lex/MiTHXxRxz95at0Eru +uTnw8ofyg/Kd6lR1qzpNX9ycQPcKyMeaK2hOunuNVmwlV10bYtNmvpqrrb7S +t/Pv5/j3PsyJcG+2fI65Eu5p37mfPdvudXcNG7mWeb064+XxIvGpz5v39USR ++KG2szm15pSr4821dc/yOv3sMXEvszm27o02R/bZZr7J3esDfV1nfqsX1A8/ +1RnPhxXJ2TN3zz392lraXPIx7pHfrx9+xr3z7gGW89d+dm+wNo22jTaPewPU +SYsV0bnqKm0WbRdtIHP/9U8uLGLvyGeoM9UJcg7qUmO+xjjUd3Id2lDaUns2 +66H+0rVF9ui4d9A9NVv0s4fGvTbmQMmfy6/Lh7sHYsMiPpe+l9gYojrsqzo5 +O+7FNifYXB5zgN0bbozklWa+XFck5qfu02bTdtOGNPfdnGX30uuvmctsDGP/ +fmxmYxvmMK/Z3L+5zYOa59mjmb/m/O/ST06/ewHM6d+yn5z575vxsWgR/afu ++z8Zaln2 + "]], Polygon3DBox[CompressedData[" +1:eJwt2Am4T9Uax/F/x8E5x5DInCkiMhUlGSuUUgkZkgzJEJHK8CiSdN0GQ5dk +lqkMGYrKEJkrRUl1NaK6VIRkDt3P2/Y8fvZ+v+v3rrX2+q+91tqnTJe+Lfqk +pVKps5SdXstMpba6qUS3iWflTKUaZKRSG8SFqQY2EXuKr4NrfXr3Ivk8C7Av +eK6l1nyLlS3EvhRfR22wJdhHvK/lSKUqun9J47fwvOd+NS1y/220laUPfMXk +ZBPX4e8jrklLsicsyobLaSxnvT4cVNf09FSqkfgM/yPZUqml4tn4NXyD5P4m +p6GyWvSw+A3er9RVi9oqW8q3ltbQYmXf4UX0ZY77D91fSbfyvar8J3Vcq40d +2linjRuw+Xw7eWrSPXyLsFew18TpVBx7QruTsKXii6NObATf+3g3zzFBvXWj +/+J6tI6nIF3NN4HvJrkjtDdOuwO0X0p8Dd2NdcLmYNXFdWkgNgI7g3URj6Ru +6ihKrZTVFL9MvcT5qDZWUTyBeot36sfb+vSA+Fpa676yuh5UZ2/xPNoRfaMW ++rdAzlzsI3FFaorNxDph++Xsoy+10Vnc0LNtjPGN8eKbxLecDrm/Ubv16Ce+ +qnylsZx867GfxUPx9rz1aJ4+ncCqxe+mb5u0sTyeTfw633Z5VekudcyLOcu7 +XlyIrsFewX7gq67ul7G1WBGeWvRW9qTdaH8kXylsirgJb7w3fbA7sb3Ys1hT +fVkkzk8rlF+J1Y8+q/8q7PWYP+J8ygbL7YAdxzpivbGvsAO83cU9aC6W4jkY +v1F4aDl0MfYL1kZcRc7LOrPCtRz+qvqux4Wpx/y3n6+luBW1xBZiLfn28XXA +OmAfYvv47hI3p8bYNOx3rG/MRdqIlZA3H7/b/afyN+PHeL6P38n9OGyNssJ8 +Y+nBmD/0vHH5RtyK9vMswu7n+0hdV2Azsc9y/POoqcdzJuMQ47EYW0JHM5Px +inGbJJ5Mh7EqdLNnb+E37+m3Lyo+Gf1RXpl/vLJ3XavF+qSND/CC6hiCTY/5 +7n5OjDMdkXci1h/3VykbJ/cd10bUVf1z1d8CK5Yzmecx3z9T5xb+4/Iu0sZE +bKV4Ff2JDaeOMafFJ41BQfGldJ6vGXYb/U98BVVQ9/XaOeraM/Iyk3elgjYW +8m1Xf2PaJa5Cd6pjmbpvDskbq3/V+PNEn/n+y1OZ7uB7K+ZavKvKL4s1Wtwm +M3m+eM5KrsO1cQj7Ue5a92torD7/JL6B3pWXm65Q3wvRJu+LcqdoO426i+vE +vOfJQ+X5XuSrQ5/wfc+TSx/bq7c23zs8uagc3/M812Nvi7OoLPYcVhdbKc5L +FbBR2AjtdHXNTVfH+Ihv4vuEpww15JsbY6CdX7X3M88RrHHMbb6fYl1S/mOs +Y3LLUmmeq/WvCZZXXI1uw9php117xfymxu5bYadcHxLfqL6PY32gBjGX4h2M +31P5dXy3q++SWJv5fo49Nd4zZd1i3mLbsMvpxth7lZXEixjzrvrahX4TN4v9 +Q84y9XWhGuJnqAv/WZ78acke0Fg8KtZlbWZhZcWz8S3xm1EjbUyNeY+tjv0z +9mVsNDYT2xTjTjdhU2Lv1r8DsfzEmNAC8cBYc5Qd1u4p/Swk7k+tsYMxf7B8 +MZ68U9U1EZOa6hv7G55T/BA+Bvst1nvsd3FzehTbjj2G3eO6i3eD+nqIl9HB +WMOpX6w9yvthrVyLxHqWlozLdioh72m+BXzp8ftgxbAh2GzsPP+b2J4Yd3oA +ezTmD1acbyg2B/ub7yE8C+sc6zt2KNaMeDe118dYL/RwtcRv01GeW2J9p/uc +GbZhl8kdJp4f5yt1fYQVjrMM1pf6ZCVzMObi4bRkjpTG1mDZYw8Qj5L7q3ZX +YX/HuSLOV9QpK2EpvgfEXWI/w3Zil2ODxU/QIKxgzAVtdNTn5topHOccvhx8 +PXlGq+YX7DN9PMZXmIYa+x0xLrHm882jJ7Bt4q8zkjV9ObaMdom7qu+IvENp +yTtWKisZlz8v9Df6XQm7Ks4mPLfry4RsyXmjL7XQfi6qrqx8nAkpTd0PyhsZ +a4Q2Vsc6i3XF/oX9yP8OdizOl/GssU/zfYqV5Bsea2cM0YWxL5IjGZMYmzr6 +8jlWBntWvJgvk+9KmiM+H+sVNlAbFbG52ZNDcm6XQVgVbJ74T7782JOxb6mv +fOx3+FtYHp4KNFt8lk+TqQGx9vDV5JuEb8AuizMEVgObGOccrDi2J8522CvY +OqxYrP9YRWx09uSMEWeN72IvxP6DvYcVwr7FKmMvYauxglhZmiE+lv7PtEk9 +qi/fxNkk1np8FXYpz27samwC9j5WNPaT2KOwF7BlWN6YB1glbAy2EiuAladZ +4jPaiOnZXxtlsGnYEcy/1CPY5dh07Gh68u3RD1svIXeOC+9GnGMM2AYsT5xB +xOP5DvOtwzKwXthY7ADWU32ZWCdsBPZ7zGe+Utgz2BtxhuTZEesTNiLOIbG+ +YVuxotiT2CzsnNxZ2ObYn+hmbDK2EcvL1w97GTuCfYgVxAZhM7Az2JexB2DP +YW9iubXxBVYO+ze2FMuFbcIuwR7HpmAncybvb1lsZMxxqmsMtmAFsAHiaXyn ++D6IswQ2EJuOncY2Y/mx/thU7MSFMc2VI1kfYp3oFusGvpI+14dh3uOdsb/z +nY61i56S+53yhnTM+1gyfjTX47HW8J7jaUkD4D08J/CO8S0SZwG+U+K26tuJ +7cQGa2OrvC50Vl4L6i93d5ytsPPiVjQQ24s1z0zWmj3qWiv/LnFvvkLx3cY3 +Lr5Z+dLj3BLnHp4SvDnE7fmO8DSmHnw7sd2xdsh9DJscfY53RlxD7opsyRko +znw30V/uq6qvuGs28VG+e3lKYOf16Zi4QZwBxbWoPF/1OGzTEL4qWFEsTXxj +7DXittQ09qj41pBfk29menI+jXPqNM+3St+KxtlMVWPim0kfT8b5LfYK7Ov4 +zbH++jBDHdNpi7iJ3LHquTK+A7C1WGc6Je9OekTuN8qm8i0XF6Cq2B88k7E3 +xfmoYpyLsY50Qtws3kFsl9zn+Hq4lqD70pI9r0HMK/cPe5bRnqWP+FV6X17J +mLdyx/PPwNaKS8Sai42Lsx5tlzMrPfl2qR31xv7tfje2Vp13iOtHnz3vXnwk +Xi/OmHFOx+7meRJ7WHyfPv+h/ibUUxtfqK91jKm8rTw/8N4vHsNXVO64mMc0 +Slw31gm+vXx7+fLHuYV3vmtGzCH+IxnJ3zr2843hG+ZaTnxPfIfx1KOO2t2K +nYt3Uj3j+Z6N8yn2XZx38W58L/B9L76dfhC38z5u5NkUfcZ+xerH/s73cXxn +xPlCPZvVt1K9TWNP4FvE8zdWhG8Y3wr8DNaBhmHfxjuO/SW+n56OdmN/lbtQ +/JfcQtjQOEfH30Kwc1hh7Kmcybf/AXGzGHft58eaxd7AV5va823GbsO+F7f1 +HOvFG6htnB2xhnEu4dsW3xvx9xdxA+qMfYIN1r92F8asgDZKxzzjSxe35xvK +t195q5inyn+kD/Snpbg7X7Z4N/mG8O3j64Xlw7pjL2LHL/Qn+rU0MxnvYvo5 +yH1b7DRvpjqLi++Ve1h5I+ou93Pl7bBDsf7HuontuHAure536KsfneLsHftR +nG9pSWYyFkW1UUPuYvcXRSz3aeVNM5K/KbXJSvzrLpylW6lviPoeUV8ZLING +Y/WxKliW+NaM5G9jrbOSv0/F36n+DzXggRs= + "]], + Polygon3DBox[{{2459, 1459, 1298, 993, 789, 2240}, {2482, 1509, + 1352, 1351, 1628, 2182}, {2406, 742, 976, 1846, 1847, 2552}, { + 2118, 1497, 1626, 2537, 1977, 1978}, {2119, 1498, 1708, 2545, + 1979, 1980}, {2127, 1506, 1668, 786, 1008, 2404}}]}, + Annotation[#, "Charting`Private`Tag$433517#1"]& ]], + Lighting->{{"Ambient", + RGBColor[0.30100577, 0.22414668499999998`, 0.090484535]}, { + "Directional", + RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], + ImageScaled[{0, 2, 2}]}, {"Directional", + RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], + ImageScaled[{2, 2, 2}]}, {"Directional", + RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], + ImageScaled[{2, 0, 2}]}}]}, {}, {}, {}, {}}, { + {GrayLevel[0], + Line3DBox[{1901, 14, 1913, 27, 1924, 40, 1935, 53, 1947, 66, 1960, 79, + 2163, 208, 242, 658, 1184}], + Line3DBox[{362, 1, 1589, 197, 221, 694, 1222}], + Line3DBox[{1262, 2, 1687, 362}], Line3DBox[{1264, 3, 1262}], + Line3DBox[{1266, 4, 1264}], Line3DBox[{1268, 5, 1266}], + Line3DBox[{1270, 6, 1268}], Line3DBox[{1272, 7, 1593, 201, 224, 995}], + Line3DBox[{1274, 8, 1272}], Line3DBox[{1276, 9, 1274}], + Line3DBox[{1278, 10, 1276}], Line3DBox[{1280, 11, 1278}], + Line3DBox[{1282, 12, 1280}], Line3DBox[{233, 13, 231, 217, 1282}], + Line3DBox[{1922, 26, 2159, 203, 233}], Line3DBox[{1933, 39, 1922}], + Line3DBox[{1945, 52, 1933}], Line3DBox[{1958, 65, 1945}], + Line3DBox[{1971, 78, 1958}], Line3DBox[{1989, 91, 1971}], + Line3DBox[{1991, 99, 1999, 113, 2012, 127, 2025, 141, 2039, 155, 2053, + 169, 2167, 213, 243, 183, 232, 218, 1421, 184, 1422, 185, 1423, 186, + 1424, 187, 1425, 188, 1426, 189, 1427, 1428, 190, 1429, 191, 1430, + 192, 1431, 193, 1432, 194, 1433, 195, 1434, 196, 1599, 215, 228, 696, + 1224}], Line3DBox[{1997, 98, 1990, 1989}], + Line3DBox[{2010, 112, 1997}], Line3DBox[{2023, 126, 2010}], + Line3DBox[{2037, 140, 2023}], Line3DBox[{2051, 154, 2037}], + Line3DBox[{2065, 168, 2051}], Line3DBox[{2078, 182, 2065}], + Line3DBox[{219, 198, 1901}], Line3DBox[{320, 211, 1991}], + Line3DBox[{220, 214, 2078}], Line3DBox[{230, 216, 1270}], + Line3DBox[{219, 681, 959}], Line3DBox[{220, 683, 962}], + Line3DBox[{230, 485, 832}], Line3DBox[{320, 781}]}, {}, + {GrayLevel[0.2], Line3DBox[{1901, 2307, 2308, 2172, 618, 2294, 2430}], + Line3DBox[{1913, 2171, 2455, 2702, 2202, 2309, 2310, 2174, 2362, + 2442}], Line3DBox[{1922, 2100, 2566, 1921, 2099, 2565, 1920, 2098, + 2564, 1919, 2097, 2563, 1918, 2096, 2562, 1917, 2095, 2741, 2291, + 2286, 2287, 2739, 2456, 2288, 2241, 2382, 2396, 2381, 2448}], + Line3DBox[{1924, 2457, 2621, 1923, 2173, 2458, 2703, 2204, 2311, 2341, + 2409, 2326, 2423}], + Line3DBox[{1933, 2108, 2573, 1932, 2107, 2572, 1931, 2106, 2571, 1930, + 2105, 2570, 1929, 2104, 2569, 1928, 2740, 2460, 2289, 2290, 2723, + 2459, 2240, 2429}], + Line3DBox[{1935, 2461, 2622, 1934, 2462, 2623, 1936, 253, 1654, 299, + 556, 1085}], + Line3DBox[{1945, 2112, 2577, 1944, 2111, 2576, 1943, 2110, 2575, 1942, + 2109, 2574, 1941, 2625, 2464, 1940, 2624, 2463, 1939, 2746, 720, + 2450}], Line3DBox[{1947, 2465, 2626, 1946, 2466, 2627, 1948, 2467, + 2628, 1949, 2534, 2704, 2177, 2176, 2222, 2297, 563, 2343, 2436}], + Line3DBox[{1958, 2115, 2580, 1957, 2114, 2579, 1956, 2113, 2578, 1955, + 2631, 2470, 1954, 2630, 2469, 1953, 2629, 2468, 1952, 2744, 2391, + 2397, 2390, 2398, 2451}], + Line3DBox[{1960, 2471, 2632, 1959, 2278, 2633, 2548, 1961, 2282, 2634, + 2549, 1962, 2472, 2635, 1963, 2535, 2706, 2180, 2225, 2298, 2224, + 2364, 2402, 2416}], + Line3DBox[{1971, 2117, 2582, 1970, 2116, 2581, 1969, 2639, 2476, 1968, + 2638, 2475, 1967, 2637, 2474, 1966, 2636, 2473, 1965, 2729, 2254, + 2399, 2401, 2400, 2452}], + Line3DBox[{1989, 2124, 2587, 1987, 2649, 2480, 1985, 2648, 2479, 1983, + 2647, 2478, 1981, 2646, 2477, 1979, 2545, 2645, 2258, 1977, 2537, + 2644, 2255, 2257, 2256, 2428}], + Line3DBox[{1991, 2162, 2481, 2700, 2170, 2165, 2589, 2126, 2221, 2220, + 2590, 2127, 2404, 2591, 2128, 2405, 2592, 2129, 2406, 2552, 2593, + 2130, 2395, 2745, 2182, 2482, 2708, 2209, 2312, 2313, 2184, 2367, + 2414, 2300, 2431}], + Line3DBox[{1997, 2136, 2597, 1996, 2135, 2596, 1995, 2134, 2595, 1994, + 2133, 2594, 1993, 2132, 2731, 2262, 2261, 1992, 2131, 2719, 2210, + 2330, 2349, 2329, 2331, 2424}], + Line3DBox[{1999, 2483, 2650, 1998, 2484, 2651, 2000, 2598, 2137, 2001, + 2599, 2138, 2002, 2600, 2139, 2003, 2601, 2140, 2004, 2602, 2485, + 2652, 2005, 2183, 2486, 2709, 2211, 2314, 2350, 2410, 2333, 2425}], + Line3DBox[{2010, 2145, 2606, 2009, 2144, 2605, 2008, 2143, 2604, 2007, + 2142, 2263, 2603, 2546, 2006, 2141, 2720, 2212, 2185, 2332, 2187, + 2368, 2443}], + Line3DBox[{2012, 2487, 2653, 2011, 2488, 2654, 2013, 2489, 2655, 2014, + 2607, 2146, 2015, 2608, 2147, 2016, 2609, 2148, 2017, 2610, 2490, + 2656, 2018, 2491, 2657, 2019, 2186, 2492, 2710, 2213, 2315, 2351, + 2411, 2336, 2426}], + Line3DBox[{2023, 2152, 2613, 2022, 2151, 2612, 2021, 2150, 2265, 2264, + 2732, 2020, 2149, 2214, 2611, 2538, 2334, 2190, 2369, 2370, 2335, + 2435}], Line3DBox[{2025, 2493, 2658, 2024, 2494, 2659, 2026, 2495, + 2660, 2027, 2496, 2661, 2028, 2614, 2153, 2029, 2615, 2154, 2030, + 2616, 2497, 2662, 2031, 2498, 2663, 2032, 2499, 2664, 2033, 2188, + 2191, 2189, 2721, 2229, 2301, 2353, 2354, 2352, 2438}], + Line3DBox[{2037, 2155, 2617, 2036, 2269, 2268, 2733, 2035, 2193, 2266, + 2192, 2711, 2267, 2034, 2230, 2337, 2378, 2446}], + Line3DBox[{2039, 2500, 2665, 2038, 2501, 2666, 2040, 2502, 2667, 2041, + 2503, 2668, 2042, 2504, 2669, 2043, 2618, 2156, 2044, 2619, 2505, + 2670, 2045, 2506, 2671, 2046, 2507, 2672, 2047, 2508, 2673, 2048, + 2539, 2712, 2195, 2194, 2231, 2302, 2357, 2412, 2356, 2439}], + Line3DBox[{2051, 2272, 2271, 2734, 2050, 2197, 2270, 2196, 2713, 2547, + 2049, 2232, 2338, 2379, 2380, 2355, 2417}], + Line3DBox[{2053, 2509, 2674, 2052, 2510, 2675, 2054, 2511, 2676, 2055, + 2512, 2677, 2056, 2513, 2678, 2057, 2514, 2679, 2058, 2620, 2515, + 2680, 2059, 2516, 2681, 2060, 2517, 2682, 2061, 2518, 2683, 2062, + 2519, 2684, 2063, 2540, 2714, 2198, 2234, 2303, 2233, 2371, 2407, + 2418}], Line3DBox[{2065, 2199, 2273, 2275, 2274, 2735, 2064, 2235, + 2236, 2215, 2358, 2440}], + Line3DBox[{2078, 2316, 2317, 2216, 2360, 2361, 2359, 2441}], + Line3DBox[{2159, 2090, 2158, 2699, 1912, 2089, 2559, 1911, 2088, 2558, + 1910, 2087, 2557, 1909, 2086, 2556, 1908, 2085, 2742, 2293, 2292, + 1907, 2084, 2701, 2169, 2219, 2218, 2420}], + Line3DBox[{2163, 2161, 2640, 2531, 1972, 2164, 2279, 2281, 2738, 2280, + 1973, 2284, 2285, 2283, 2641, 2542, 1974, 2550, 2642, 2305, 1975, + 2551, 2643, 2306, 1976, 2536, 2707, 2181, 2228, 2299, 2366, 2365, + 2403, 2454}], + Line3DBox[{2167, 2166, 2685, 2532, 2066, 2520, 2686, 2067, 2521, 2687, + 2068, 2522, 2688, 2069, 2523, 2689, 2070, 2524, 2690, 2071, 2525, + 2691, 2692, 2072, 2526, 2693, 2073, 2527, 2694, 2074, 2528, 2695, + 2075, 2529, 2696, 2076, 2530, 2697, 2077, 2541, 2715, 2200, 2237, + 2304, 2373, 2372, 2408, 2419}], + Line3DBox[{2415, 2342, 671, 2327, 2223, 1950, 2544, 2705, 2178, 2248, + 2179, 1951, 2727, 2249, 2375, 2250, 2392, 2449}], + Line3DBox[{2421, 2320, 2318, 2339, 2319, 2201, 2716, 2079, 1902, 2243, + 2244, 2724, 2080, 1903, 2553, 2081, 1904, 2554, 2082, 1905, 2555, + 2083, 1906, 2698, 2157, 2168, 2217, 2295, 451, 2432}], + Line3DBox[{2422, 2323, 2321, 2340, 2322, 2203, 2717, 2091, 1914, 2543, + 2560, 2245, 2092, 1915, 2561, 2093, 1916, 2736, 2276, 2094, 2277, + 2737, 2160, 2239, 2242, 2296, 2389, 2427}], + Line3DBox[{2433, 452, 2743, 1938, 375, 2726, 1937, 256, 1617, 258, 507, + 855}], Line3DBox[{2434, 2325, 2413, 2363, 2175, 2324, 2533, 2567, + 2205, 2101, 1925, 2725, 2246, 2247, 2102, 1926, 2568, 2103, 1927, + 2722, 2238, 2374, 2376, 2386, 2377, 2444}], + Line3DBox[{1101, 2348, 2328, 2208, 2718, 2118, 1978, 2259, 2260, 2730, + 2119, 1980, 2583, 2120, 1982, 2584, 2121, 1984, 2585, 2122, 1986, + 2586, 2123, 1988, 2588, 2125, 1990}], + Line3DBox[{2437, 2344, 2206, 2227, 2226, 1964, 2728, 2252, 2253, 2251, + 2384, 2383, 2445}], + Line3DBox[{2447, 2387, 2388, 2385, 2394, 2393, 2207, 2346, 2347, 2345, + 2453}]}, + {GrayLevel[0.2], + Line3DBox[{1262, 1688, 1436, 2724, 1263, 1608, 1447, 2717, 1285, 1673, + 1799, 1840, 1855, 1774, 1887}], + Line3DBox[{1264, 1437, 2553, 1265, 1689, 1690, 2560, 1691, 1692, 1609, + 1612, 1610, 2567, 1773, 1653, 1801, 1802, 1800, 1873}], + Line3DBox[{1266, 1438, 2554, 1267, 1448, 2561, 1286, 1693, 2725, 1694, + 1695, 1696, 1613, 1617, 1614, 1776, 1655, 1805, 1859, 1803, 1874}], + Line3DBox[{1268, 1439, 2555, 1269, 1728, 2736, 1729, 1287, 1458, 2568, + 1297, 1697, 2726, 1698, 1699, 1700, 1701, 2705, 1621, 1779, 1780, + 1778, 1806, 1893}], + Line3DBox[{1270, 1590, 2698, 1591, 1600, 1731, 1732, 1730, 2737, 1596, + 1686, 1684, 2722, 1685, 1832, 1753, 2743, 1754, 1833, 1702, 2727, + 1703, 1704, 1705, 2728, 1706, 1624, 1783, 1784, 1782, 1808, 1899}], + Line3DBox[{1272, 1744, 1441, 2742, 1273, 1735, 1450, 2741, 1289, 1738, + 2740, 1460, 1299, 2624, 1470, 1309, 2629, 1480, 1320, 2636, 1491, + 1332, 2645, 1708, 1498, 2730, 1339, 1629, 1510, 2719, 1353, 1680, + 1811, 1841, 1842, 1786, 1889}], + Line3DBox[{1274, 1442, 2556, 1275, 1451, 2562, 1290, 1461, 2569, 1300, + 2625, 1471, 1310, 2630, 1481, 1321, 2637, 1492, 1333, 2646, 1499, + 2583, 1340, 1709, 1511, 2731, 1354, 1631, 1525, 2720, 1368, 1682, + 1812, 1843, 1857, 1788, 1890}], + Line3DBox[{1276, 1443, 2557, 1277, 1452, 2563, 1291, 1462, 2570, 1301, + 1472, 2574, 1311, 2631, 1482, 1322, 2638, 1493, 1334, 2647, 1500, + 2584, 1341, 1512, 2594, 1355, 1710, 1711, 2603, 1712, 1713, 1633, + 1636, 1634, 2611, 1787, 1661, 1814, 1815, 1813, 1875}], + Line3DBox[{1278, 1444, 2558, 1279, 1453, 2564, 1292, 1463, 2571, 1302, + 1473, 2575, 1312, 1483, 2578, 1323, 2639, 1494, 1335, 2648, 1501, + 2585, 1342, 1513, 2595, 1356, 1526, 2604, 1369, 1714, 2732, 1715, + 1716, 1717, 1637, 2711, 1641, 1638, 1790, 1663, 1818, 1860, 1816, + 1876}], Line3DBox[{1280, 1445, 2559, 1281, 1454, 2565, 1293, 1464, + 2572, 1303, 1474, 2576, 1313, 1484, 2579, 1324, 1495, 2581, 1336, + 2649, 1502, 2586, 1343, 1514, 2596, 1357, 1527, 2605, 1370, 1539, + 2612, 1382, 1718, 2733, 1719, 1720, 1721, 1722, 2713, 1645, 1793, + 1794, 1792, 1819, 1895}], + Line3DBox[{1282, 1594, 2699, 1595, 1283, 1455, 2566, 1294, 1465, 2573, + 1304, 1475, 2577, 1314, 1485, 2580, 1325, 1496, 2582, 1337, 1503, + 2587, 2588, 1344, 1515, 2597, 1358, 1528, 2606, 1371, 1540, 2613, + 1383, 1552, 2617, 1395, 1723, 2734, 1724, 1725, 1726, 2735, 1727, + 1649, 1797, 1798, 1796, 1821, 1896}], + Line3DBox[{1421, 1576, 1598, 2685, 1408, 1564, 2674, 1396, 1553, 2665, + 1384, 1541, 2658, 1372, 1529, 2653, 1359, 1516, 2650, 1345, 1504, + 2700, 1603, 1605, 1604, 1869}], + Line3DBox[{1422, 1577, 2686, 1409, 1565, 2675, 1397, 1554, 2666, 1385, + 1542, 2659, 1373, 1530, 2654, 1360, 1517, 2651, 1346, 2589, 1505, + 1669, 330, 1019}], + Line3DBox[{1423, 1578, 2687, 1410, 1566, 2676, 1398, 1555, 2667, 1386, + 1543, 2660, 1374, 1531, 2655, 1361, 2598, 1518, 1347, 2590, 1506, + 1668, 1864}], + Line3DBox[{1424, 1579, 2688, 1411, 1567, 2677, 1399, 1556, 2668, 1387, + 1544, 2661, 1375, 2607, 1532, 1362, 2599, 1519, 1348, 2591, 1507, + 1865}], Line3DBox[{1425, 1580, 2689, 1412, 1568, 2678, 1400, 1557, + 2669, 1388, 2614, 1545, 1376, 2608, 1533, 1363, 2600, 1520, 1349, + 2592, 1508, 1866}], + Line3DBox[{1426, 1581, 2690, 1413, 1569, 2679, 1401, 2618, 1558, 1389, + 2615, 1546, 1377, 2609, 1534, 1364, 2601, 1521, 1350, 2593, 1847, + 1846, 1897}], + Line3DBox[{1428, 1583, 2692, 1415, 1571, 2680, 1403, 1560, 2670, 1391, + 1548, 2662, 1379, 1536, 2656, 1366, 1523, 2652, 1352, 1509, 2708, + 1658, 1675, 1748, 1826, 1884}], + Line3DBox[{1429, 1584, 2693, 1416, 1572, 2681, 1404, 1561, 2671, 1392, + 1549, 2663, 1380, 1537, 2657, 1367, 1524, 2709, 1659, 1679, 1749, + 1678, 1828, 1854, 1885}], + Line3DBox[{1430, 1585, 2694, 1417, 1573, 2682, 1405, 1562, 2672, 1393, + 1550, 2664, 1381, 1538, 2710, 1660, 1632, 1681, 1750, 1829, 1872}], + Line3DBox[{1431, 1586, 2695, 1418, 1574, 2683, 1406, 1563, 2673, 1394, + 1551, 1662, 2721, 1635, 1683, 1751, 1830, 1831, 1789, 1881}], + Line3DBox[{1432, 1587, 2696, 1419, 1575, 2684, 1407, 1640, 1639, 2712, + 1642, 1765, 1791, 1891}], + Line3DBox[{1433, 1588, 2697, 1420, 1644, 1643, 2714, 1646, 1766, 1795, + 1858, 1817, 1894}], + Line3DBox[{1434, 1648, 1647, 2715, 1650, 1767, 1768, 1664, 1820, + 1868}], Line3DBox[{1589, 1670, 1671, 1607, 617, 1772, 1878}], + Line3DBox[{1593, 1592, 1440, 2701, 1271, 1742, 1743, 1736, 1737, 2739, + 1449, 1288, 1740, 1741, 1739, 2723, 1459, 1298, 1852, 2746, 1469, + 1308, 1845, 2744, 1479, 1319, 1707, 2729, 1490, 1331, 2644, 1626, + 1497, 2718, 1338, 1676, 1677, 1630, 1827, 1861, 1785, 1880}], + Line3DBox[{1599, 1769, 1770, 1665, 1822, 1823, 1752, 1877}], + Line3DBox[{1687, 1606, 1435, 2716, 1261, 333, 499, 846}], + Line3DBox[{1862, 1756, 1835, 1755, 2642, 1329, 1489, 2635, 1318, 1616, + 1615, 2704, 1618, 1759, 1777, 1888}], + Line3DBox[{1863, 1758, 1836, 1757, 2643, 1330, 1620, 1619, 2706, 1622, + 1760, 1781, 1856, 1804, 1892}], + Line3DBox[{1867, 1807, 1656, 1762, 1761, 1625, 2707, 1623, 1837, 1849, + 1848, 1898}], + Line3DBox[{1190, 327, 1667, 408, 2738, 1327, 1487, 1733, 2633, 1316, + 1477, 2627, 1306, 1467, 2623, 1296, 1457, 2703, 1652, 334, 427, 795}], + Line3DBox[{1870, 664, 1771, 1602, 1601, 1597, 2640, 1326, 1486, 2632, + 1315, 1476, 2626, 1305, 1466, 2622, 1295, 1456, 2621, 1284, 1446, + 2702, 1651, 1672, 1745, 619, 1853, 1883}], + Line3DBox[{1871, 1627, 1851, 2745, 1628, 1351, 1522, 2602, 1365, 1535, + 2610, 1378, 1547, 2616, 1390, 1559, 2619, 1402, 1570, 2620, 1414, + 2691, 1582, 1427}], + Line3DBox[{1882, 1839, 1844, 1838, 1834, 1666, 2641, 1328, 1488, 1734, + 2634, 1317, 1478, 2628, 1307, 1468, 1654, 1611, 1674, 1746, 1824, + 1825, 1775, 1879}], + Line3DBox[{1886, 1763, 1850, 1764, 1657, 1809, 1810, 1747, + 1900}]}, {}, {}}}, + VertexNormals->CompressedData[" +1:eJw8enc81f/7ft4pRFJRaCiVhnZEkqdKRRo0KbLKViijYVfKrqwQSYhkRbbb +HiWREQ3j7IXS0JB+5/tz7s9fPa7rer2e53Xu83ze13W/tNTywpFz/02ZMqV0 +xpQpU/n/Pvyvu01fmQXyM3THe+9Vg+sc8q7Dj0a+jKVLqUcyIXte4pGnjpUg +3FlZMvsAnTzQzlh2m8WAgc+/l2zdVwLVmUIRhxczSEbEWdMbKxjwq6Gdezfn +Ofj8CxnxHWOQRXXln/bo0kGoI5nZvOMprNmnwZPqZpK5TB2L1oM0aDtt3FhK +EsAvyCa/tohFVi3/ZVlztwPcQ0pGhKyTwWDbmF+A6zDx2Oy2Lt34HXhEesy2 +/JMLqRL6n7lFQ6TK0EZ3Wcd78Dv2WpFeUwxmV+miFlQesX0U+Vx7/BP0Hy+1 +mzIO8N3xcobvOJcwyCby0n4A6mTuHXAzqIUeOd85WjO4ZKr8hgvKeYOw2UJM +S9K4AW5m2tIj5nBIxCpd4aoOCqSaW6kel2+GS+KxNsfl2QTrhfXDup10avjZ +rc6EuwY13Rd/VIK5e4jX9Sw6uXDnFlUvgAGPDGOvPSgtgQiKtND+AAaZYty2 +Y2UhHa5WT/n2TKwArn9OCnxoziRU/8/Fbq9oIFP7XG205Ck4mGgsLtjFIu/0 +7CW21FIh2VQ1r6syAT7Rtmn/UWITs1irXw4BXfAyMLhtRDUZHO/MeWW1eJj4 +dkT/t3BVL1z7Mb3Rpj4XHm/5b8jNeIjcKnoWVub1EQ7LxEnXOxRDU+953zIv +HrmmfCiY598Pb+x0DvL8AVKfHBoLu8slK7il7hULB4H9ZUDUa2otvMhZJHct +kUO2/Y4uKTlCgVGvnKy+8Xpwef6flHA6m1TWeM5XsqbC8bFcl9DcJoifMycl +NJdFcD/h/sJ9hfXC+mHdGN+iNwbKMiBPLsxBdGMp/AuUuyfCYRBvhmzWEy06 +9PTVZi88VwDm3CeWB14xyfk9D/4M7qMBxcbwPy+1LDhfxUv9v8+dZdo6sGkT +FZqlnxbWaz2A7Mpje4ai2eSqh/WTIKt3sPbbRpF7/yWD79fbb/3qhsjgUu/a +mfT3UK5xIutbSC7MvRe6P+sHj9BKl1y4P68Ptt3cM0N6TjHIVPMq58vwyOvT +etMVrg3A97oPD6pFAETGXhY0K3HJkPAuZbuGQVClyncwC2sgfYm9dd8mDinS +j2wK5FGgucJQKP5hPXgeHmow284m8WMWJWe/UOGKyrKWXfuaQMqkS3T3PhbB +84bnD88d7ifcX7ivsF5YP6xb99U1NaXVNJA173tYWl0Au47snTBWYxGhk0Hd +GhVUiD0U2qv0IgsmRl12WyqwidS/EFPvGApcuDrNbCM8gDW9xXH7RThke41i +n8/mXijdabL0eMtDWCzaOD/q3BDZ1D3VfkfERyhXfSDueCQXehv6LXdE8Mjc +pRo2rx70w5FfQqZGL4pgo0LT39mZXFImrWWhtX4Q0lpW68kFV8Jz3QC7FyUc +8lM9e42wLQX0YoiIsG0NbI87m/22jk3uq7cFv/OmQtSbQ0OhOvWQyPyq8OcN +iySZNLypcaPB4dRjTsV9jXD+zeeC4j4mwX6E/Qn7Ep43PH947nA/4f7CfYX1 +wvph3WgxK95uUqbC1G3blyerPoOE1qQNQ2FssjrxOvPN90EI1c2uyyaJ8Lp8 +UKXEg0PKjNcO9428h7CD4Q0J9x7CJnkvzyP/DZHvq2d9ilrdB4XDhxPWzePv +t8Qfi9uUeERi/l7JqtsD0Cjs1ytpXASlh0KNNHdwyV8ZrcipPYOwxrV3hs/M +SjhT2eryRp9DvlxVLWwRosKWkWfKsvI1UOCx9lnZSTZJdbisNCJGA1G3Sudf +rDq4/s9Kfdk5Fjkb/UPp9lcaGMZ+a1/l0QifvRMlVnswCfZr7N/Yt7EfYX/C +vvS/8yY4f3jucD/h/sJ9hfXC+mHd/gQXOVD1B6Gq0Hu0BRLhz9m1iR1MDvnh +MzPALv4jZA5a7G01eggxqYyrdvE8InnsxMaVef2w4uCKT0p5OdDNrjn4XxmX +PFjawZ6iOQhJa9RLn/5+AbdGs1iL3nBIWtFa7fTLFKhVoHe7hFcA521gS8An +NjHf21c7PZIKhfMXK1i1VMPqCVObLxwWGb1jnzI/jAadc5xvzQ+rA42Vnk8W +/GGSU3vJCSEHOoRc19VokGqE7EujFxukmAT9DP0NfQ37NfZv7NvYj7A/YV/C +84bnD88d7ifcX7iv/lcvQf2wbhyZs+fEVfvAaHqz1P6FDyE2Umuh/yYe0Trw +XvjOvQE4tuz+NeqWHFjwQd7I5iCXSLU5jvXQByGrfCA1Nv4FLNUTMthsziGb +bxZb2c2lQv7laBur2RXg5B+lrXaBTc55+tv/XkyDd+v+OC30qYbcT+HJ1d4s +kvczvixenA47X+pck1epg7F5iisV7jLJofJZ090+0mGfdW1K2dMGYH+Sby97 +yiA7GXGvu8r7+fuJltlVngQj4gdnb6/nkrfFmqfZewbhPm/++NrCbPB2v+gR +2MchmeZztf0DKXD12ECVquYLyDXRuM/+zCY/Hg9nh6dSISfnplfJvXJoMbh/ +d5cQm8hG/7k1+ogGTz8wsi5trobzl8TNnOeySJXwLmqDPx0kJo7Hr/tQC+c+ +xCqYr2GSmV3X163TZUBzuub8dboNYPDf6918TDCXYE7BfIK+iz6M/ou+gj6D +/oJ9E/so9k/sC9gnsD/gvsdzgPsff1f8nfH3xTpiXbGetHfTDFpHBkFhySvZ +O6rZIPLIUqv/PIcUy8ds1FpKhbClh7f3fiyE7nsvDZ/4sUnZxNIeq4008JRb +cef1vHIY7JeZ+e0ei3Q4+IVtX0KH3a/ufYliVMGexxNB6hlM8qWl3Jb2lQ7f +B3Qj3AJq4dCSz9ZidQyiw90c6JLNgO9rHgeqM+qhvdiqUp1BJ5jnMN9hrsO8 +gvkFcwv6Mfoz+jL6DfoP+g72U+yv2FexX2D/wL6B5wHPB54L3H+4H3EfYh2x +rljPulM5b48+p0LW2fTsN16F0PDH4V3jHDbxbR/aubmABrojkneG4srAnahJ +RKxkkQKtKh/FGDq8vNyk+zi+Csb/5D84oM0kl+u6G7XMGJC9z37x7HW1sJUr +NMjHhHN9dMmtWUwoO0a1+3GjHvbvyE/6cYNOMAdjLsY8jDkPcx/mPcwxmGsw +z6BPo2+jX6MPoS+hH2Gfxb6L/Rb7CPYV7Cd4bvEc4/nF/Yf7Efch1hHrivW8 +vHJqi+4mOmwaTJowWVIGAfWzHxqWM8l0/dkLv4kwwGxl19ZKwyrIErU2eNfD +IOrfbi5SqGfAs6NlKXI9NXBLZYXS4nE6MWuOEyp0YEKAgcfMKyvrwQ6GDlxZ +SSc4P+A8gXME5mPMy5iTMf9hHsQciPkG8w7mHPRv9HP0cfQn9Cv0Key/2I+x +D2O/w/6HfQ/PLZ5jPL+4/3A/4j7EOmJdsZ5cjxObxl0ZQNtwZstf0SqAjpj9 +fExs10k+b1nBhCkrVuelXK+B/76tXgVxdDK/rrB/Wy0TEkwsgt++rIOrDibw +9iWN4NyFcxjOXzhX4JyB8wXmZszRmJ8xF2JOxHyIuQdzEOYf9HX0efR39C30 +MfQv9An0DfQL7HfY/7Dv4bnFc4znF/cf7kfch1hHrCvWc+EB/9QQPyZ8Cai2 +hs01IFoU0qaynU5ajkRPHJ/HgpZ5Tu9mONdBy9qDU8SdaQTnVZxfcW7FeQzn +M5zLcN7A+QPnDszTmK8xV2NexPyIuRHzEOYjzEXo9+j/6Pvor+i36LPoE+gb +6BfY77D/Yd/Dc4vnGM8v7j/cj7gPsY5YV6xn8hy3f3vOsYBL33Bzzfw60N1+ +JnvNfBrBOR/nfpz3cY7FuRbnWZzTcG7DeQ3nEJxLcB7BnI25G/M25kjMlZgn +MSdhbsK8hLkEcwrmE/RX9Fv0WfQJ9A30C+x32P+w7+G5xXOM5/d/+w/3o2Af +Yh2xrljPm2KLX9IvsMBQbTGNm1MDHK/8WxwFGkGMOvLCOsrSj6/x+xrNsO3r +lFCg211t6jJnk5VSVRfDot9Cb8W+iRTvO2CkHL8g6cEw8Z/monUmsh0MU+NE +z0TegfE9b589rh0mDMN8j4RICmjf3a7TENEIGqnDDf+3Tn3LykMfF1HB+v2V +jdb0Jrh6qvi8NZ1F9j87HdzJoIBalW6dvl8oRL+MOKfYzp8LpMr+moZ3wsvs +GYGHDO5Aj3DRmaADwwSfD58XnxOfD58Xn3PPxhld/1WHwEYhj9G8Oiq0tdy5 +R1nFJvh5+Pn4ufh5+Pn4ufg98Xvj98Xvid8bv2/E8r00i5pG2CmVEl+9lwLv +Z7ke2MWfL8SVPZ+SYBbIqRzOcOXWwo6OBR9cuVSCGHXk8bnxe+Dz47r4Obg+ +1hfrjXVeeXAp3W9bLUx4x3XHRLDgaveu3c0jVDL2brnwwAMWhJyaI1LfVQts +WsX6+i4qwevwPrx+eFzzka4RFSqNPvmFLfUC1xkKr0y8+H1+/TshszntMHX2 +NKlTSX5wKfcf5WP3MCmrDon7FdYG3f/lTLmX4QdN1RWBVaxhkvVvFvV6AQXe +TKgNvzvRBN6xBU0PdrAJroufg+vjdXgfXo/Pjd8Dnx+fA58Ln2fK0Jdlwl5U +YL0K3hAg5AWHUv9QjliwyfLFu14cDKOAchBP2ce5CSLfvd2pbsQmzoVioR/+ +NYH8DbspYr8oMOwoBh/+sQhi1JGn9B9uyN/Mr3t6lbDUzlBIrTXyGI5lExmJ +a1uHIztAbquE0GebO/B6l/4SmtswuevpUVAzrwPm7JD1ol/0g9s3MqhtQcOk +MoO9IqiKAgFLEwrEHnkB59yPmKYhNsF18XNwfY3m1Aiw8IKxHuttljOp8Cpm +b3FgIZvg5+Hn4+eaX8z6rRDkB9m/XQqd570FF+8AraK8YYJ1wTphfbAuWCes +T1wmVf5AERN0xEeM90RUwdlrcsGF0nSCGHXkVfcz1/v+x4Kfc3N3fiuthrnx +v71cc2gEMerIq3yqISP8fpp9ZubSuenlwJCvl5ulx/cpAUYd+bwBTycDMSas +K1O4d1oTQJz+0e/iJzpBjDry/6isDP9LdIhREuv6G1YESYorhSfCmAQx6sif +siiS+ztAh9hfa1a4OZQCR+xP4fTFTIIYdeSPBDPXT/1HhYvv7B5ub8gDxQhG +4VEKiyBGHfmV0dd2VPvSIO+4+Zzznwtg3QK9qd1O/LlegFFHPvK2zOtVeyjw +R3F5n++1NND5+5TB3c4hiFFHfoWVTJlBPwUkU++FRLg9AyEZWnVfA5sgRh15 +l8Wtwze0BmB4w8TuqX7h8Ns26CQ1gksQo478Ac+pnJqvA7Bkx76ZEf8Sga2r +eiJRgUsQo448ReyRzCGnT9Dx4YHBIc0I+NDstfq2HY8gRh35OQWaG/Z9GQAH +74v6Oprp8Hnm60WpC7gEMerIX58prCexYwDmS0VprvROghttEc6WYVyCGHXk +DQt3VL99z8+1jCB72XP5sD5pzfTyKjZBjDryybr7ctJ3UuDK1e6z0d+fQUW4 +az51K4cgRh15sULj+U5XaPCp+rGVvnUxTDd2idS3ZhHEqCOfLuQaG/OLCrwi +dpDPoUK4zI2mR35gEcSoIz/9tvoqmV46zM6pV1fKroBezq71WTJMghh15I+l +1Ny3caJD4u79Px5TS+F1lUrsxkAmQYw68qaG0/8smsKEnDGznctWVgNFcld1 +cSedIEYd+elu+786pDHg+6lVkYovAQ4aXp+ar83PSwKMOvKOvJLvej+Z8PT7 +vz4Rfg712PRhW1oajSBGHflcL9WLT54xoUIz773NjBrI7jwluVyCThCjjvx4 +1sILesFM6N3Leu9UWAWch7EWU3ToBDHqyB/1OBF69yoDtHW7XaexyqEzvSeT +jwli1JF3WBT+6YI6HQ5EpaoeqysCG1spl2N1TIIYdeS9B75sqyumQkWH6Z3m +oTwoEK8WKZBjE8SoI59ZvtH30NdBqLkpMxKblQZre9m/RS5xCGLUkc9bu8+u +FvphXF6HVwPhcCSjUvxVI5cgRh3504Wkl6PWB9ctNwe8XRQBHJMWv40qPIIY +deS7heauOKc3CP88+2NvSqSD6tb0F6NUDkGMOvKrn6+8XKhEhV2znSe0duSD +ZgRdZPQWmyBGHXlmnvnX82U0WL4s/LjQxmLYqDRyQ2gjiyBGHflB/ehP2VIM +6Phs/PieQwVELKnqpg0yCGLUkVeO0W8o3cAE3ulju/qmVMOdA2kVUx/TCWLU +kacfrdi7aSkLLJ8JfR34rxZ0itU37rxMI4hRRx5zD+YgzD/o0+jb6Nfox+jP +6MuYAzAXYB7A3IA5AvPDRHzotiGhMBD2O3V3rR4/18Q+yMrZySF1rH2v7lfz +833gsyVT7lPA6AjrqbUYh5irJEiaU7wgujltf5EL30+qh5WklThErXdf7+XF +d6DqiHXRFM9u8HFiKZ/4PkSeOa+Oeq12BzyiDlVW3+iC/pcyL54sHSZ2fh3n +i0z84K1JdN2WuZ3w/OFjfW3LYZKcfLD2jAYL9tzcHn9BrQYypVghEjY0Uiv7 +xOK4RjXEnWm6v66JCb8d922T/0UjsxZr/y7QZ0LUXMvpsmur4M+sDo0lEXSy +M/7go9nzK6G4jMf+XcuAJFrqrlFlBgn7T9H/2wYGFKb/8ORkl8HHtVs+6rYw +yHJ5d/nTi0qg+V4nPTCMDt7RemllzkwykVwXHN5Hg/vlD5YvMH8BGxOFx0pl +WSS+qVZayu055O1s1elfTIMbCjSJ27Us0vbz8FH9Q1QICOroszuVC/L3eldv +cebPNSejioMWZcIqpcB/eQ78nP9zaHrwIg7JXHxkVMR9ENT9q+kZiikg0VF1 +aOlLDilxU9BTvxUDqw+Eutk4DkCNxqrpuy5xiWZi0Nw9CX1AhWD3TklfKA4I +436V4xGKRNqW1/q+wNy498J0kU/g2x04kX6dR94lcm9rn+mHz2J/d+gxYmBT +aOyVKRS+D+qM2ui7pkCltuu9xvoBcEmVmv5gG5foSmhtH28chPk8WZ3k0Exo +cz2cnRzKIY532SE7HvG/T+Ga4zdeUMBE7vGK4X42cZix5cSpu1Qw3cfZ/eXV +c7gvJie9cDPf7yo81BfWvwD7O2f+3TGhQVH6VXm/Gyxi8CR167F5dAgKmpHr +FF4Csdz51ls+8P3ikorl8NpykOkrrWytokPqH9G2WSpMYn77YtJaUwaQkE8p +A0mVsOH4QHFVBL+vWtjGHnWrghM6v0fDeQwYMZcbq/tCJ9q1TXdmOjOhlGsz +pyewGmwe/It3P0kn/1VbPXp+qwaG6prPZrKYYEtJl5pdw59nBfsezwHuf9z3 +eA5w/+P+xv2O+xz3N+533Od4TvDc4Hl5YiPOUaYwYeX2yCXeDlWwwL0ziEGn +kYK5OT7Bo0yI2WP8QVm6GliF3bTH/Ll+1v4lD835z7N4T8tGlRov4Df4uiH+ +8+hH63Q90vGD09sLZ6eJd0GAKZMsVB8mX1SHNmTNZoJC2iZRnlI5JA6reVjS +6STVbqzp2wAD1q5Q21RgXQ7eu7UXTcxjkMbfwLP4zoCr051e3+2ogFj9d55b +f9PJ2ZBv8yaYdOgrbv/huKIIevRyNjqt4OcBHdnlwjl0OOnAMBI+VQSN7vvu +CZ9iElGHzOL9TXQ4oRgXwaQVA830ZrC4JpPwnReW3KSB5MxqyfseefBpxihL +8xKLvKl7PffSbhroHate2ZmYB7GuGWT1UxY5baNZfMGSBvFaMn/79Z6DTrPL +kzshLELX9DjbTqGAv2XEwr0L06BN/7BH+is2Mf35Zsc4f67uknvTaHEgDZ62 +Xk5unMoh5zIkj9wopYBKtMYnN3oGnPCfNtudziY2z8ep2t8HwP/tqvL9//H9 +raTeR0iRS74lqGn+ihsAfbcNcl07w2HLUqs7ccZc0qUlc7y2cQD+TIu8+sIo +BtpeH9Du0uSSaiuv7SkvP0Bj0a1X0p4RsMhayG/5Wx65endb9NbEjyAM1jtt +T0XAO+E54VsTeWTo55h7tupH+N7kLFtg5wubtEOlxot5ZGLQuCxGg5+P/Ua/ +zohPB8Px8tdqQVxSG1uWJxwzAKpOMwxfOqSDerTKm3lH+XxLRuR5+wFwrUqT +7byfAkLhP/9+d+aSMY/LG1bvoMCDO+L0wYJ8KH9clH9hI4ecOHp+13gIBVru +jy0dD8kHOE9xivzJJjobvKvzbCjgIO6YuqUhF458vMHom88hFzzOmqh+pQKd +s4T1qKMYrnXGb07pYJHPkO6Vr0aDHb7f1vQmFMP3zetNehNYZOLpgonfsjTI +Kby38PfYC+go18zWLWeRNdZTfS3P0eGLUdaGRpVK+FhqvdnSm0nUFpfTJ5Lo +IG+jd2bblwq4fqr3+js9JslZmy07cZMOL53/Gqc5lkPrq2Vbbtsyyd49O05L +PmCA+MlpCZWXqkHoR8RVbzUGcZfSq9N8w4BI8xnz6w5Ww2ExnhdlGoPsmf2L +SJcxQOimyVK3uCoQi3acum8Zg2zLG/bensL3i+oTnzP9ayHycuLj/v/oZAVb +e+RwKxM2F3r3PjxZCzMkp8682Ukj1AEH8c2VTHD4Lvz7d14NBHpe9jrwmUbM +/yv+MLCEX7eD0p8LFL1hjaKz45kzHNK8dY3D0HQa1OQ8eVlskgpbS/zJOh6L +vG67KrH8KhUOi5acL55IgDcdaWmDZ9hkSvYFFd2T/PmcvlNHrCcKfHYuZs+4 +xiZ4P66H6+D9uB6uM2R80FBJNBpcpk89bCFBhRk+n8TWFfDXt7ar1i5PhRp6 +RP1jTz7fGS2bfJpNWE7S7754PwBFYw+po3QKfDyhTJ37hk2aj49onlCPBvHk +xs+3gAKkv2v0LI9NZhke3/9DtweWl8Se2X0yA7ydtNIuRwyRxfP/NsW4dUNe +w84ZjxcmAz2jIFZhdIg8354sYj/RBZ4/H/bxXQGMbm/ZcWTGMLm64LPPL8n3 +oFK0PUxROAN8OxRqvTYMkXuXbpttPtgDFadSUpuZD2GB6j/r5Kgh8ulw65Ob +w91AlsVVL79/HzgJMp+PfxoidqoBwotndMH9d82NUvT7EPy++SBbdZgsOBch +tGZ9LzzNnfdo9foMqAjN07tpPkQyjq7f6lHZA5csVkaLzkqFF/F3812vDpF5 +x3iHo1y6of3HLB2LtAzYWn5sqIHHf/57843tzd6B1ue4UBOfDBDPSXTaCUNk +KGZhqA63G1iG15bwDFPB9anBk/m9Q0Q/eP35jNZq+F6vXPN8iAnxGRcCnRto +ZCzK66cKkwLjbnyX8fOCk6E9cmntbCLRZ3Uggr9fi26OJN3LZ4Kw3K6TAVJ0 +In9pVCTcDIB63Zsy9wsDln2eHTj/B53ssfORDOX71P4PbXeC//OGBb97tmns +4pDqiC9/xLdVwu4pt+Y0ZzLgx9DhsD86DCI93khO3i6FljUJ+Rl1dNjikRGz +Vp1JqmgyZmXbSmA361T4HBc6rPIyfKQWzCQqitPP9IkUgtzuI35JZjSgv7hx +cP1tFjn5JcO9JOg5dCj8MHUcp8LLIxb98v0sEpiWnhse9Qxyupr/PS6mwJvZ +C7mfKGxS8lCVRG3LhD8mitNv7aZA8qsnF6O2cYjnV8bCkwpJEF0gLktvGAA3 +n3XXHbdzybV5+bGfkmKgfX3dDRZ/vj6knaPeE84lyXGrN+Zr+oLJ/resqec/ +wYnIuCJ1ex6Jda5dkXomCVRuNXgFOQyAYodXQpsrv+/NtxpxPZMCP4vhxePR +AXh4Y5pp5yIucfVYfyiy6xkEOWfda7ejgGVQQN+gPIc88nu5QSciF043BOlv ++kSB9qQVnj9r2eT9nAsDzK2F0JD3mSu+kAba4h5lklUs0nvf7HDt0xeg/2xL +bKEXDXaXXhNXtWeRuKzz3y7Ul8IOMyHlgSA6TK9tWVrjyCSUV8ktWjPLYWyt +WOeKT3QY7xWqGZNjkupI0b+uaQDPGo7VPQIGnOF5yxWtZBAlk9nOVMsqEJpl ++bFdmAlm15sdNvTSybHtT0ytflTD7VUig7q1TPh3SMi5+RuN0NrCl227VAON +UhdjvP4yoe7QSs+lT2lE4R3VWaSTAr9750bK33UCbYUIqR5+TrPZNv/ruZRB +mFZoWWTvHwbPaTE9i/I5BDHqyKMvok+iP2Iux5yO+RzzN+ZxzOGYszF3Y97G +PI35GnM15mbM0ZifMR9jXsacjDkYczHmYcy7mH8x92KuxZyL+RbzK+ZZzLGY +UzG3Yl7FPIr5FHMp5k7MoZg/7y782GV8kgUqwI6VvlwL33aPl7zYRCOIUUf+ +4im9h/dNWLAxTLPPq64GXhfsjp69lUYQo4485U2a0TN7FtwfONNeb1ULp/Pf +cx4soBHEqCNvz+iWnLuFCiOOpktSdnrByvXcrvP32QQx6shj7sQcivkzp23h +kZDrLHiYduuz5oNaiL2pD7d+Ugli1JHXzfya2O/OAmnr7KlX/tXAiULxsro5 +NIIYdeSvjQfv6NpDhYlD5FzZJifYG/y17nowm8SXialYLqGCu9f2qE5DPk9r +exOXziZ4Hd6H1+N1eB9e/yA8KsfciArvlR8GPF/qBP7bt1+55sUmIVSxhKad +TvCReX+pMr8OfgdHhsP4dUCMOvIP8qj2i55RQJK5WV0n3wlUz0v4jf9hk7V6 +cYoFNyiwqtBovvNbJ3hWuJ6uKMshaxX/VHvy61hybW786Ron+JRzKXjWDA5B +n0DfQL8Q6vTr/ObiBIu/Jh65+JsC1YazRIv4/QrnYZyPcS5GH0JfQj/qfvLl +7QklFsQ9FxeP0a+BiM2di5O8aAQx6sjj/IzzNM7R6E/oV+hTeVl1elYqTHjx +1M5lj1YVKNhWNZs8oRPEqCOP8zbO3zh3o2+hj6F/GSWeCiiSZsADJwtDzdYy +iH/uUz2XwSCIUUce53Oc13FOR59D30O/i5nyb8nzShqkDVgO7bz8Aj4Hhc9v +38IiiFFHHud5nO9xrkdfRJ9Ef8ydX7li7moqKG9UumjsmAtz1OYmyYWwCWLU +kcf5H98H4HsA9FH0VfTTLa63JOv2D8LgmS0dD7emQO5C53hpBocgRh15fF+A +7w/wvUG13ljjI/U+OHs8IFVlsS9k5b3f8VGFRxCjjjy+R8D3Cvg+AX0afRv9 +Okuj/W9QZT/ccPr9hdkaA8Gc8OSSBi5BjDry+N4B30Pg+wf0dfR59PdT2rvW +ZX8ZhMNqRRseuWSC7LW4s49cOAQx6sjjewp8b4HvKzAHYC7APFDf5LpQ+QUV +uq2yv6558Rzy5BV8zs1jE8SoI4/vNfA9B77fwNyAOQLzg/kaza+/VOgQdj3d +ut61BHbtsN98qYpJEKOOPL4Hwfci+D4EcwbmDswb5jey5lh5MKBGZe/YRa9K ++NI5qszHBDHqyON7E3yPgu9PMJdgTsF8sq18U/L1m0woLDzWYsif10JOMZ7n +EX4eEGDUkcccjLkY8/ATU+9rPZeYfL+boaPUVAWZIqfbOk7TCWLUkZ/q5WIk +HskE+q/nVTbi1XDigM0q4a10ghh15DE3Y47G/Dy+JD3d3IIBL15fSioQrYCZ +gRc9JyIZBDHqyBvkTJRfucmA/a2uDxUeVUC/uDql15FBEKOOPOZvzOOYw3XO +zme0yNFh94W2u0v6i2DfTu/WJf1Mghh15GWH/qMx99Bhc5Wk1tvQYliz7WT7 +7EImQYw68pjjMddjnu876ef8LZIKdxteTSQI5cPhjWrJbqpsghh15EM85xze +3kyF5SHBR5815oNE/pp8zRlsghh15HEewPkA54L4YZ5qQvMguC/4WZtYlwZn +x7uZkhEcghh15PuMWQPrRCiw7fyBDxr+T0ClZPOmT2c5BDHqyONcgXMGzhdp +foGJHmb9kPbBb3i0Lxy+eG+QlKHyeQFGHfkXilSD0eF+SFbf0lX2+h7MTnTo +eFjCn1MEGHXkcW7BOQbnl6EnGkoh8X2wpsnK8aJkBFixGuX28/MqYtSRv3ZL +e5r89D6YbRYSHap+C6pe6Zv93skjiFFHHucfnIdwDuoaCr3y5NIgpHyLWRnz +LQ3889xFpjdxCGLUkRePUvyxT2UQrLkOS9LXpsJX1ZGwqV85BDHqyOMchXMV +zlMLrp3YOaxPhYIbs6KMVufDoxG/9zJObIIYdeTHXt79u1SGCptmJ88zPpMH +7IJ0n4BYNkGMOvI4j+F8hnPZlPzD2Qc/0KBspVHvmHQxLJGKWfpTmkUQo478 +2h6Tq0LPaFAoUhLealEEPU1KK/wIiyBGHXmc63DOw/lutbvu+IgyA3TFb+td +218Bmn8fCa1qYhDEqCPvcrV55k9hBjTcCpmj/KwcwubIXR75zCCIUUce50Oc +F3FOVEzw2TpnHxPMHQoS+4aqwOT8ssKuYDpBjDry5dX9LQeV+Os8pth8e1IF +nPD6Ayb5dIIYdeRxzsS5E+dNU4aenrYqC/aF0t1/DtXAmkqlX+WWNIIYdeTn +pXtYPpVjgQtD8sD9vBoQt1JKbbhJI4hRRx7zLuZfzL0j6lnSB/n5OGHwVKmo +vxOof1gu2sjPyZi/MY9jDsf8jXkcczjmb8zjmMPxvR6+58P3e/j+Bd/H4HsY +m/hYr4RRJ5AQlbj20pQCP7oCQU+FQ5QkROSOzmCBps64acrMGnDZf9mjP5lG +EKOO/JPXpUmPw6ph5aErym5tTDDr2/fDkEsjC841sWXnMiHvos6MbSMA5gfD +HaXf8PO2AKOO/A5muHrA60qQl3glbNDKgIXawuNnFzFI14+n7gpDdCg70TZz +4boyeP1wWfWUWUyCGHXkj6lQSmmUEuDqKSQYxtNhu6by9CgLJtkacZyVGU6D +W2IzM4RrCmH7WvlehzMsghh15FVN9iU17i+AK5Xr1EPW06B+8ap06QIWST5z +792FLxTYlWH3V10jB3RfRl+8UsQmiFFHPkXLYXUu5ymoVvyyz/amAO2N5G4t +SQ7h2p0cdRcbBNvWN8O7rJMhfKuFzHspLkGMOvK1pz9W1p6LB3Px9kbxgAHI +pqZ/rz3HJZTE0Ec6yZ9AZ760uYqqM0jNlAheaMojiFFH3vqgXZT9UWfo2Ou/ +QK/jI9Qqitr/ucMjO0xXuEgqDYDBstij3IR4MHorXsNN4BLEqCP/78T9zf9u +JwNtbElTWc4AWP6WK3bW5ZKjrrKHTq2nwHcT1VUVSlngpxl9dv9eDkGMOvIi +vwcclb1zIMOfS5n/mAJFO8Y3XxhhE2EXr/LHbCocCeiSFPMsgDcd9XFruSyC +GHXk17yPI62jhfCxpevwuYM0MHxosFEqikW0vVTcrMzpMF3x3oMri0rBfrzf +1yeaSRCjjrybX/+WbPsyeKDnUn6pgA79W3ZXaO1mEmVe3QpmPAOu0w/Xr5sL +cMVFd7fdYQZBjDryRirXqtIWVMH1K/bacRQGGO/ylDo0hUGexnyP1Ejlnwuz +Z8a0wmqw/nb0pYw8/1wIMOrIJwZIWnSo1sDZ1RkHnw8woehvw8bXb2hkGBZr +G44Nwu55JRFqu8LANLdB5stlDnl/vphteXAQjC0/cd1rwkCtT3/1Kg6fF7wv +wPcH+N4A78f1cB28H9fDdfDvTPh3J/x7k/vrNtuJ14Pw6/Cg8C9Lb6j+86s4 +Lprvy6fPm2827wep7Qfn5vX7QOmhRokyfj7B9334/g/f+91zVktvnHMemouU +z5qpUiB9ouP6BQMOwXXxc3D94nmOvjU7WXBRVmjGbX7Ol/r6qibHmEYybBWW +jh1jwoHVL2QaA6rA5nZu4hc/OrklvtPGfTsDltbdPlntWA6hlq05NhUM0pRw +hVrOo0GohBbvwboikJs79sBCjEU+7ty39Z4ZFdp/rW30V88DC+6qkSpzNmEt +TbZ9EzQIE3l1N6umpELttAlYVsYhaa/M2Kav+2Bq1TPu+Rm3YGFb+JCyBI+Y +Bm6pOL2+H3o3p1gXfrsHKsuNHDd95pIftWvsm58Pgl7NWXPtF09g1aNt2tQE +DnllJe8Z50eFd2b15/d9yQfTIvF3BTvZZJCVOpwoSoevH2Zb7asvhqbf+rYP +OEyiGt68Zs4RBuzUGBfXpFeAh7riwZQkBklnrFq5zIYJ6jXjNWmbqiFHUyQy +4Ryd4P9jwP/XgP+f4Yi60k41r1pwC/4sEfaQBdNTPv8cekclS84KZ4jo1IJ9 +1AtflUAWfA5UbMn/TSX5l6Rc5NJZwJZrqfv1shZqZlryfr2kkv+m6wV9CWWB +RUJ77a27taC4f2PVoyEqwftxPVwHr8P78Hr0S/RP9M13DnPMe2YNgAXZ89/a +ZB+Ym5jxYPozLtlzsFPk5UQfnF0x7QdM+MAr291zWRNcwguhG0Tyc+e0zKtt +31c4g3uPXoDTLh5B/0M/RB8MEgr17d3lDWU029Q8/rm4eurwcp8rHIIYdeSx +Xlg/rNvH55n19fZ9IDb+durDec7wKavWNGYlj2C9sH5YN9z3eA5w/+8PdDSS +mvcefl2V7/+eFwEnG1OtzqsNEeFwx3VnnQbgct6lZestfaBu6rUrLDcuwb/v +4t978e+89e1sxzcuFJBf7TcWSHGC9oqnp7cqcQjWEeuK9cRzi+cYzy/WF+uN +dRZ5rdDcpt4H9d1dFQcWO4OuS986EVUeWX5lvVd10wB8Uw6c9UrRB7SKO5tc +tLgE/x8A/r8A/P8ArsZTXrtI8H3Ud07dyObzoFb/LfGuI/98XVibM4U6CCIN +KT/mHD0PaT3Sjnm3+HneeLfu5agO+HuMJ+to6wd/V3ddKncfJvs+jD41O9EB +F89vsDx03gV0j3xQmOE3TE63Tkgf29APNp+3/dr0NRAUlzH/zfrCJTCVrH3K +P7/jvL9ZC0V8Qbi9ab8r//z6Dyikvjf7AFPXGOetDPQFV80q05s8Hvk6+j2k +l3/9gmtiO1RFnGHp8HX/BP71+Hd0/Ls6/j0d78f1cJ3782y9hsM7YSB/dGmz +gR9Ye8XuMTs4TEqnCMl0GXaCyTSxcdoJF6g60fZ0ttEwWS0qSa043AMvOmjy +4ewIEF+XEVIaO0T2vnjcI6/aC1+vn2qa3RoBdBERzSTbIfLoT27cg9oe0PcY +6T3+0RcuhxuHRPkNkWVPbnzzruqHO87JDO8qH3icF7XiQhOXzHqvadDGr8+X +3wNZTiMX4EV//GEffn26btzaHTX6Hv47Vi+pGxUBGnf6tmpNGyKyEwMXQm+8 +h/qTb78teOwLOk/sujYpDJFjC7K+7vr6Hiyz+u2eR/kCK2qZ/i/+9fTgg+f+ +tFfDssbXues5TDgpKrzK4CWN9H+866reSIGpgT/Wtbs4gLqz1YOVbDYpnEGm +e50DsOed8//F4/ustauC1m86cS88fo6xkgLJRTOfSLId4N9xCSsw5pC4fpcT +ZmGlkO7v/+8T0OHAp2Mp9zSZfB88dv+NeCEEl6hxpp6igeNXqdrGUBaRdPhq +d2rKIETZxnsmPgkCqWhbJ6MFXCK0MUB4JO4ZKOeeKpHPp4DwmKjlHSabvDg7 +72LHngEINRx3lFP3grIjp+65h/L3s8ZLr4zlSbAnbfVpQxiA/rfm4dLaXGKs +cNtA/Vkf0HaOZ08HJ5A0OK8fJsMjtY0jA6Jr70Nsmn9duuUAaAUrPii6zM9R +iYaJRhq+MMsus35W5lvQL9ub+Sh+mJiIzH+qN8sXrObHXj/+qBM+Lj8do7d/ +mDRycr27FprDDc17SRozP8C869e/qk4ZIil1xQdvGieBXFJQscjFAbBxrKo/ +fp5LLmtLBJ9tewaOnjbr9zlTQOm/TepG8zik0qxz9fwthWBk/WRT1FIabM62 +2xlfxiLzDrgUh1WVwuk9dlMTwulgGe8l52XLJLtGZKVzHwJ4PKXE5dQyQPFd +YEb2Mga5f+fOilVfq+HLr4dXahqY8O/qtDPCX2gk5/SntZEbB+G2quKRlEYf +2Hplx7ezfzlktU5ymIzsHTBXnrdvn0cPlKcPPgqNGCL1EQ3DPwYiQD0x/5Cw +5nuY3bPUi7l+iBxUnZlhH1cDJZomGt3aLKjXvXikju/7SVWvdXKjqyDMQcVO +mO//cXmqM6X86STpb+HV2shyWGXIkvfSYMDKgfjWu3zfL7tf9pRzsgi01vwo +L+fSwGazTU8C3/eVwpfYrjmXByme/bnBZ6hA3S66W8qCzf+9qkPrzqRCa2Ny +DNweBM+tYjHBfN+XXXRLxDX6NrS2Hliu+aoPxjYf7H3K7wMKVpypYuvuwdrv +7xLMNvYDxWa/Y90Il6RJrTXgnHgCPkeqJWsLBiGkJUo0iu/7R7pXdY/X5sO/ +KOIU5k+FXTeepvrwfT/DQtTeMq4YnG8wg8PE6DD/ZmvNVb7vfz1Eq80ur4Ar +63y5f/n+H5w54R7B9/0wtkyP9+Jq6L61TFTclgmVDqr5kXzft0sbCV1myIIg +24DDO+fXQlJvZIUwoZE3dpPYXaB7C3iNTQH/6HOp4G6ceUZrqwO0OJToM3PZ +5IP4JFYX6G8EfEPqWSXnZw6gvNXxQ4QnBVKPn3lwcSmH3Ccn5vY71kJxeNf+ +AT8W5E+TraqdoJKCO83zxi6x4Iz9m/cnV9RCxobecz1zaGRUR/839XIbuG+9 +Gh1udRHKhYrpzdxh4n/MVcpgRTtIOVxs2mDsCwqiclf2dQ6TH6smr/siuA+v +32c+eZ2J4L4Vguv/2QrOVdTkOTsoOF/bTh3iOrPfgunbyh135l+E7dPNDaTv +DpP5aeYyJmIWYHRp/X2bgnZoF2U761UNk6fUreuV3vqChbjG8h3GH2HM7Zfd +1lweUWxdIrOV/gkueaywZo05wbm0/S179XkkVOX2yTP8eZxePz9lTKcNYoKf +PH0yOkzSp3r6yq9+C49udKvM2eMLnP4/04Ryhomc4PNI6+Tnvxd8Lt12eK/y +N3MQ+9vmr/ziLRzYHPpALG6Y6EdPrBXf6At822Apru4Ai1d1Xn8Ch8mX+n+d +S7dFwLe71PKCm92grKZ+6PnoEMmI2xkh1mcOIR9qY+QLOuCDk9vXea7DJLzu +v72ZOWYQbrNfw7L4IwxqHn7ZGssjdMH9Gs2T660TrJP4sqQrR8IXajaqz85Z +1AUNDtwUIdVh8lB04S/lDx/gLNfenRPiDR8CkpfPfcMjIrNMzKg6H6EwqzxE +wtEbXPcKhesV8oj3rHv2pvRqEBK7uG7TXyYE1mYGHHlOI4oySzNfG1TDiSUS +WdxsJlydmyLkJk0nbp3xZ2ZEASQsv1NsM5UJW4ZTLmcP0onZAjG5eq1KOOv4 +c9GNNAa4JTorbNFjkJevrm6SbioFw1G7ULP3dPiwcqj9gSKTHKWe2+qvVQK1 +UVvbZRzpcNGh4WtWOJMM7F/5e8KgEHKcNCwMLtOgQiJTrN6VRYRcKFzTsOeg +1GQ0FPODCqUh9tEVVBbhLCqNttPKhkUfOnV53f/3d9RX2+Va2OSWjcagnlYm ++O8uiK/QpIC005Il+7U4JLI8iTd6+CHkJIlNPcAZgJjyYQuJFVwyuGzHTk3+ +vrRvCF33yPsT2G7a/oJ9jkfeeeiHBr97APbuFUHcvQPwxmj0ovBtLgkQ3i2n +cToFjig0UT/9GoBYkesxhnJcstBzV+X11c+AE/lls+N+ClhQeDlZmzikx++U ++OnQXLj6x07MjkqBNOF2Bxfg95nCkQ+GvAL4J60TckaIBqMbw+kPu1lENCHN +MDP9BSyZSokSDaDBFMtjJ1+dYxHaH8PZLjdK4dJOnoThJTr0+XafCvdnkg9W +01qXiJaDacbnFc8H6aC1e2KgSoZJ8m6W1vEuAHgaLfodncUAhuPelfaaDMKJ +LrRjm1VB80EdhyJRJsws+Oyg1kUnwRVVijr91XB6IGbjpudM2HPSc0JVlE5i +1KWpHOca8DbvONw9hQW7/xRmOqXTSOmyu/MD2iggtuXKY1tLKzBKl/VxprDJ +XdqNESvvQQhWD11mscEHjpYNyWi84pCTWyaxv0A3FfB7S8Lf/cjzAd+gGUGW +rQOw09014YcGl9y/pLb80yMX4NSstFC93Ae2qUKGWct4RGk0T/Ujn/cOzLAd +WNUHWeLCs/Zt45G1iszH7+1Z8MtttNqqtwbmt1glJC6jkenukxh15Nd9PPGg +yYkFLVCuedy8Fl5m/yuVkKWRqKpJvEegJwt4d/bJm12qVJD75DHddp0VuCXF +ucXGsAkj8Wrut4VUyMhXNNBVt4K/25y3bc5kk+4Fy/21lvHxxV9/XHdRoWx+ +9rUFYWzyrXjyfifBetcE61ysmLxfMmlyvQHBOgf2Pv1YpkuFnWIb1Px32cKM +5q6zxrfZZMGigry9CRRYt+H08Tw/K8hdzlSRFeUQA30x17RLFNh+50BxU7QV +RLo9nEWWc4iI5NJbsv4U0LLsGL0bYgUtsyQ7y+Q55N3Vyfz3UpAH9wly4GzD +hMs3T1oBB+zniXEo0CUVz3vzhk1mSgXm3HjDhJxeRr9IcjX83HdxuQOXRqYI ++gj2lduCfvKR8Cw3q7LgIwmMMLOoAZktn5277WkkcdPYgq+KLKjMIGT8UA1c ++PbloaMfjcQIMOouAl7Bqlr01GsGJKVnZNh9q4TivP4ztxcxSIygH83umuxP +WwV9ScVWVvb7HiasPNL/aPRkFVTc69uoE0kn+o8WVjhvZEK10fjp4zur4MaJ +oamuWXRSKcD7BHqQgBf35g4fi6PDxt6bZmISpbDG5UhZowWT6An6WoSgz1EF +/e3knZ/sm6sZIBk963bIjHJ4alk3p7mNQXQaSkfkpRjgXbzyin9HGUwLi8x0 +4DBIkgAfFui/Qyf5rwqHPW+to8FdCZ8cbfcCcK3bY21cwCIg6I91+pP9MkvQ +J5u3vvc78Y4G30pC7+fCC8iSPtYauYhFTj5b43qohAaMhOwDXl4voHZOYaOZ +OotseDCJzwr0YgEfmOZFf+RFgYXfex+Z7M2Ce3TPffclOWSZoM9OE/Td5YJ+ +G6L9+5XSXirY97pJUCtywdPq4nUTNzbZssz3YKMiFc6EnnxnciEXJFZrhzRH +sMm8sEl8XKB/XjXJO63t2z/mNwAd0tLDlkoJUDd0oGqbNZd0Cvp1NUz2b29B +31ZbtGF/j+Mg6GgvXDfzSwpcm8p1vvGGQ35EXYFLuwfB2GLB2V/bUiCwIqOl +lsMhtpaT+LNADxLwQiw/hyrKR/hs8PLJ1J0u8DLpsvbsMB5JFPhxTcakP/cJ +fDn219zGuMA+WFS7Zma3VQDMXux+w1mBRxbqfJDsXtkHtypNP9Yv8QXiqHfj +FL8vucAkFhXoOgL+zvWTSiW5A2D4Le2VyapkaO7vaJ+ryyX5Ar/J95n0n0cC +3zG8WVN9z7UfsmZZLN6jGQ3/+jXaEj9yyTz3h02zWvvB7nH5HflXMbC4LIyn +V8MlX3In8RyBvkjAVxWNuEimUiBox7t9m5bmQJHhDrX1I2zCEvhW27VJHzMV ++FdzyrFh4fZBsEg7wsiHDFgifKDK9BaH0H6dtLL6OQjaLzU2yTplgsHfCGdZ +Jw7xej2JmwX6GQH/6qnF3xOHaHD15YotRQ2FwG5PsadHssgMmUn/YxVP+mG/ +wAdJbNhz0zgq7Dsx9K3J9jm4i3U7yKxjk2thcim8Mio8W7d9XWr+c2jN9Sxj +z2aTnrWTOFugZwr4wX9XrC0L6XAv6HHjmHYZ7O1WFV2xm0mSBD7KG5/01XyB +n8p7B81wXUQHObMKIY2NJaCgXBd8rZtJppl0aTK20cFcVVly+fkSaB8p7F9a +ziRZAjx+elLvEfDKT4zmXacy4M7mIMMvIlWw3ZOluHMKg5wT+PGgwJ9/Cny5 +Z83PK9etGJD5OXZ5lk4lXJuirWsZwiAp2Q9HYq8ywMS2RpbuUQl2Bu+e77/I +IKN2kzhfoB8R8MqH/q6+P8iEgYS9uSrLaqCqozeu+Q2N3BL4+iKBz8sK/H3t +TQ+XcjcmnH+6ul7NpBpy1i484HqUTubreD5cEsSETNrMsTUu1RC/guP2YTud +SAvwMoEeJeCNBXmRJT2ZHzE3RrrIlefe4OfLhb8vtAxUQeWavVdn6tKJiQAn +C/Q8AW8tyJEbBbnykiBPZvgkix91Y8Du67+ZmbsqYIrztu4/PgyyUoALBfq3 +C5N8nSBfKtIm8+Z5Qc7cvu7BI8dNdFiw2dp4SLEY/AIfXJFtZpLLGyfxcoGe +IOCXC3KnoetkDn0hyJ9Rq6wSP+VSod1bqPiAQT6c07D9/XIxm4z7TOISgb5H +wB8R5NFPZyfzqbogl1qNSdud5QwCc7HMaeXL6bDo+tAs88scYrpoEu8U6KoC +fuhKkv6srQPQIiJ8621KDLD9mgfcIrnEfEug4/zD/fCfcJurCi0c0u+fXJnN +5JKJpLkXKqPvwmW1WT5WT/sh+uHA6g2vueRn/WTe3aMymX9vCHLvyJT7nzsP +9IGw946RvwMhQB7ZSLWu5xHTB5NYX2hSXybg7wpyMG36ZC4+L8jD44+vNz4/ +MgjZf2wqajXTQO11TWdKH4c8mpjECqmT+iIBf0iQj3V9J/PyK0FOjpM20Blb +T4VZInZbFvfmwXvlP+97A/h1Fp3EQQKdIuC//zeZm8/ET+bolYL8fKhIbHlt +DQ3up7z0an1TBB191pGqyixyK20SXxLoaQLeRJCn620m8/VaQa6e8+zTGdX5 +DLgWpJ9iNqsCtPee4Fz4xCAHQyfxYoGuJODjBDm7KGoydx8S5O2WqrLTd1SZ +IF84ca6qswo2fuBOYyfRiXzBJK4S6PsF/DlB/s4R5HEzQQ6X99ig66rEAp2L +1vbPe2rg2r29bG83Gpl3aRJ3uU/qVQL+viDPxapN5rvZsydznWzAZI5UFOTK +LEGe1N4xmRcxP2JuHAhetPx5iDMU/PXeYjuHAmaSLnev2nKIT83Y7LEwZ4hf +PFC38csgrDH4ukzWh0P27/cK+OzpDJ6W9TO7lSjQefryRrdTHJJiOyJztN4E +tEcWTDc+ys8XTnfjU7dzSObBLwvqbn4C+ze7We6LzcDlntHzOWd5xEpB5/9j +W4HuL+DnS5TskDY1A53l2loqfN/O8Ch1fM/361n3NcxqNHwgY91x9YsZg+B2 +zE6dm80hjgY3v6yEQSjQmSX5K8cZmgoDmwsecsivspcnDl/pB82eppnSzp6w +6qPPyDW+zzZITs45cYK554Jg3pG5qBH7us0BbgQbXd7GP98jFR+5+foccv/w +5LoRgs/JEawvY64kHc3ogOktP+N0J1zhqo2k3Wu7YdJgGueof6MWln6v9j+Q +woIr5HDQ9E4qyXCrOnz7di2cDA5v8n3AgjKtSzrf31NJ+oqAEz/31UJQqVqS +VxgLBm451ft+oZILoafjxvj3320UWZbaWgsOL32PpLZSyW3fWTseJbPg2pOG +eduaa2Hvrx/VlHYqEXt/YM+0OyxYYGWiMi28Fp5rubyS5FBJsGBdEHxOn2D9 +pZaT14UJ7lMQXJ8tO/2FS14/cF1nCOuZuUDn1GdBQy1c8mB/Qo7N308wfW3n +sULlc6A36GnH1OGRlYLfO+L95O8/X/C7Gwu+Z7bgexcLvm/Ww823RkgfVD6/ +2O+79BwEnKlbvXoLj6gkT36fR4LvlyD4XuGC38P74OTvwxb8Ln8cc+uOFvZC +o0T+xawlfiB3OjPxxcEhEnfpWcXiSwPQuZU6tnu5F/hfbWviuHDJk4A1Xjnr +zUBufemeTTM/AKus2F59yhDJ5PnU1XmdgU6X87LTevrB+kpczlg1lxy4JV8Y +eN8LjPZOszl4vh8ixMQOtfRzSan7s3X30gbA2sK9Kkr4DKSbtn1OPcoloy5m +S50WdYEbS3HYeaov3FHZ6zlTdZg8Tz1kUi5EAZEk42sSU02B6qKlMnSRQ74G +Z60Q4ftBi06bobmEI4SuyVT7EcAhJkVfT9Q4dEBR3IVDTUudodg0Vjfda5hs +EtYOs7rwAZxbVqxQSvGGleepjRQWj7SukuroGXwPuqe4Na+3ukJBxkSo2owh +svbLOuVLfX1QtfmvzbV0J+hbNeuWpCiPdLqdj1/xwQxm1QeUiEp+gOCHr8en +8esQJMzdO2jdCceaddNHxJ1B2POnS8ixYWKpE/77BecdKMzmeZbq+oEXCTBQ +zh4iczv8r5/p7IFUvZvv24/5QGSVTbO89xB5r25++8q8fui/0GR/7NkZuHL4 +pXr8Ty75w1ZrCzjzHoo2jUhF73WFDIt2412rhkhH3vqDEtVdMHJszFfe3xxG +rh8LUJcdJkunbZtjamAOf5Qz448mvYPgeoZJcMUQYfeLVNkHvwFuqkSP1FQL +4K0DruHUEfLt0Kx1d6nmoCEVEqLQ2gYKSs2nbg4Mk943UY6pv8wht/PUNpf9 +bfBsqzxlxegwQYw68oVs1c0i39rBeCZnUH+5BXjfN1g/q2iYjHQMerkfewub +bu12tG83h9+DkcWtT4YJ7bOJyIXVFtA+2kmvLGiHbdbrWzWrhklt4XiCCMMc +rqau+LbHsB2ud72XtmodJk1Vb/rarpiBx4q4ldET/Pqr9Z4raeARfG78Hvj8 +eD+uh+tE9ciZXy41h9WBoRzPzregvK6q1SqKv08Ez4fPi8+J9f1fvQV1ttZZ +49Tw1xzuXijTv1DQAaaD5uvEXIdJ8s2DGjmh/OsVcxmurzrBKNb/s+9u/u+S +bLle9ac5nEuW6Or+0gG3lj69J2o7TC4ptI0s2f0B9OlrbY1WmYPs7rW8yK88 +gvfjerjOmUOH8wvyqiFIjeu4tYUJ9zTYjQeHacT6Wv1G2jyAXFVDxdhmBign +rF+RvoRBuhcpOsVsKAU245yPeDQdpl6NXL/4HJOk5X/92BJXAAtKJs49XEWD +y8av5wwWsYh5bM0itTtZcN3Xw0jYk++TXT/jds/hEHvpUuH3ZeZgIaND7Tva +AUty8397+w0Tv6+NO+3czMDm4XkIsf0I9b9zPYuyeERd38jSIfAcQH3PghHq +R7h79vD59lAe0TJaV5Tz6SFYhM3TXFM0AGJZCdcMdLjE20rRY3ZPNmwKqDjw +PJMCd8Iuj7lx2WSTpRptekohGP+ReaVzlAYa045ZGdxhkVPWQh07FpdBh35J +eW4JHa4GGk2tIcz/R9ibR1P5hl3AQimikDQoKoWEUqGUWxkikoRUpkIpKSlR +MqREypgMmcs8zzOXeUgDyTydeSZDc+E7v+89z/uu1fpa35/Xvp7znOOc+772 +3k+re6MK2+eju6cACvbM/tGnUuDhSclK8Xkyeh/zNJUs0gTecV8imCQqnCbd +NRp9S0JyiR7qFWUEuO01NeF62xIMnkrgBr/SUbee7tplOEuwyAl8v7oGB5IB +Xi6Sx5jI8/2GO/OmVnDUaqHo/hI2rl2nEFfGRJJ792oFnKTB/FW57+Yfm+Dg +YNeF39okhNVYH8O9Pz5T0zKlwe91OpZqfM1AY6nb7j9EQliN9TH8m92ZqyK+ +NPjCPfv+9JVmKHjNVbx7CQmdMT7e0rG3GYoM6MbXPWlwROmY2Dp+EgruMroh +e4gI1kFbTs7yWUKjXPuFkQg6cnmXOtzHTYSO0U0ZbSqWkPJCoiGyjo6wGutj +uNw2yauk7ZaQzTu1PUOS/TqHL9J7M+kIq7E+hjsdfW8z9YoA+fc8bDQeWkI1 +6bS5BQ8DGe4e+D31iAAmFJHd51IswSRR5HPNOgaqaSh7GaJjCZJMs0X/aQJo ++v76ubqLjowHJ6rjJ6jAZ/X6yORII8iPx59m9JHQZBo/4112E1y2+HKy6jAN +Xo9GBj6xJKFt8z8WM3AUOJN7zfawO0Cabqh8zjIKeqEiRkvLaID7w0d1vY2p +8MtQ3nS1P9t/uT4z9ygig97srj7nhGqowl0wbtCnouF8henOilpwMri+/54K +BX7brvJ+10BB/u2OuxX0SRC83XBnnHgZWGoUJAXF0dBuk5aZX54VsOLipu87 +qCRwVXuoLihIQ/IJZw7cTmTvn+UlTtw5eTCkSjd6xV5XN6+slpEPYut498fG +BmeJgGR/JOTY05FU4fL3jzNxMFH8yzd6XxIoXZDL5TViou0tqiOXstPA8Hme +bd1DPGQ50aY0gIGwOYjNRWweYvsQ25fYfpR1rdtWzNaNijo0Qd2kMYjqttxc +aMVC5c9qXH07gmBt9vyz+3XjUHcwnmS9moXI32S87YNwIJ7G5L6rnwQbfMDq +uC0TfXhWr6vN9lNzFqWz6zUm4LV982c+FhM9vlyKu8X+fVl3hd2kGvIgOHZp +vgRbP1un/yibX5kJY4EGxV3VeKjecj28N4aBTrGOdROUSXBcwFVTUqYMXJU3 +daTm0dCvapdnQ0nFIGfVNfYpgAivWzcl9x+mI9uxoQTHRDLoll9r1iyqhtVT +nf3rzlNRCJdi5k73SngufihdTogMkU/FHBYoVET3sZ236KbAGkp2S1IIwPtT +YmkrxCloAe+72v1lHbjssNdeeoYCB24ZZ+nHU5BchyA+sYcKcaVh3/nojZDb +fH3bPjIJSYnSjBmCjUBUw1dH/nfOpMwOnScXyQibv9g8xuawIrePRqoDFbrE +vqsC28dciGozHHUiI6zG+hhO8p/+1BJLheldAnNTWo2gz+fS17GLjLAa62M4 +Nt+xeY/N+Wg9BVbySQqoFZWGFmyug4miyF9r0ykIq7E+hmecF2HFB1MgKvTF +p/sS9YAXcTKSsqMgrMb6GI7xB8YnGI+sGOyi8S8lw2+TzJ4tMxWwSfah4NYZ +KsJqrI/hCwK3T1QakSH2ThDplEgVGGl/jPmVTUVYjfUxHOMnjK8wnnJYsmFX +8X/nbfbsN2IIFcO5mfDVYnp0hNVYH8NX7m6+x/OJCFpNTYR58xI4wfWEsrBI +Q1iN9TEc4z+MDzEe5FdNarLNw0NTvxOl9FM6nNJ+otv7ioGwGutj+OVj5X17 +1xBgVqcn+XBFFrgcMxp8y/Z9WI31Mdxl01aFvLlQEN0u4Ji0ma2rhW+9Vv3K +RHJHdjTPLsPBZHG3ypRdFCzuWnJ3byETYTXWx3CMdzEexvi30RrvUzg2Di9n +Eqc28IaBgHnCYSU+FsJqrI/hk7s/7/hJGgP1kkNVKnQ/mPmhmLbEgIWwGutj +OMbrGM9j/O7Mc0r4fDgegtZseRtASgdX1cGb+mUMhNVYH8M9XEwbDuzAw81e +nbXOU6+hvDBxgP6HgbAa62M4phswHYHph3Xzwk1x9kQg6L1OXipRDLjl0o+u +n6MjrMb6GK5W26J6bQURjppLnvJ4UwjJXB+dWl7REVZjfQzHdAmmUzB9suog +4a7zNAmyzm+5Q+KuBOKKnfUkbhrCaqyP4WcTZnjsXpPgU/vYvR+D5ZC9tvVJ +tT4NYTXWx3BM92A6CNM/n2ClAZcGBT4c3+dxcV8d8M06X/leTkFYjfUxXM1T +LUhmngzOXWKubxRr4fJm8+fjvygIq7E+hmO6CtNZmL6SsghmBplTYTAL3duN +bwAnwVtGxZ5khNVYH8OFM0hqPFJU2Ljy0NKX1xug7+Q4DNSQEVZjfQzHdBum +4zD9tjE/PeDZURrItq1IWYprgplgKd+K0ySE1Vgfw4/nf9uftoYG3g09O9M9 +m2DP4Wx8RShbj3FqrI/hmC7BdAqmTw50qdod6yVA9LGn9Gg7S1AaHX7ngqMj +TPdgOgjTP6MJP5q3F1vCFdn2p/GXCBB1f0F4hyIDYXrof/URRxepGvr+/tJg +CVVaViEWpwmgYuI0/d/zgS5NmYUbq2hwQGPTIy7tJqis/aDGiCEhrMb6GL53 +kO+0aFsjXOoX9x7vY/Pbk1O6BwgkdDKx1NN7PRV2bs1JuqLM5qVNpQLRrWSE +1Vgfw4fDgjZ66ABU7ZJuFe6jQNrMtrQOUQqqnhwoXvWVPd/dUPTN3Bo4fDOb +T3QpFWE11sfwosMn3Drtq6EljfSq4DUZ0mTV+MPPUJHfV+tF51gSBEiMVA8b +lAMhqKNTzZSGsBrrY/jJxM2iZwZKQTPs+fMPaiQY6LEaGcqioa43694azRNA +UISkw6VcCFmwb0g3j46wGutj+NXrA7Q1G/KgqOHQz81PCbDnzkriOl4G2mSP +0ovE8VAjNT12I/0VLFkfY8fPx0RYjfUx/ETc73jJmQTI27D7MykcB7UaF79L +WTJROaXVK6tmDM6/eP4qMdEDzA1OtWw0ZyFtyFvz3/O7u7yfGf89zzsmdKjs +v+d42HXY67Drseuw12HX8+7cjTe1sIH42w1r9laOQotgVeV/z/1uJ/2RblqL +A9OH/mGu/LHwg1gg65bORFiN9TFcZKJB9qBuMnxSsI5flYKDa/OxP3aZMFGb +4xZHny0EOMRU6qmeywa95bxXrhkzEFZjfQzf7/An7I1xPvBqrfDtiSbAMPfg +wuufdHQYTofwTBBhWixDo4ZeAqLJy77c+kpDWI31MZz+XOqR5uUyKA/ibj+m +RQLrHoNRkyQacgxLPlh2hgxWUdIS32KroOt+6ZmXyVSE1Vgfw0vuS3xspFeD +XeJYhmouGcSvVu3UOUFFLfP+uoRICtgYWkjUx9ZD5Z3ei1vPUhBWY30Mdxbe +s+FoA8B8bd+rLyMU6Mj5tYu+goKyznATYpOo4Giak9zl1Qg1qua8RtvICKux +PoZ/uLSZ0L3QCDzetRUXRti676qWIWGQhPIKdG5kXMTDk7PhrRl2VmB8JfWb +/xgDXdmvwb+G7d+WvxlKk9AhQtKubyMSz+hIlYd1uXrMCvJ3njyvVcTm/SXi +dMkTTNTt4bfwyNwa3lhE5F2bmoCq7bX1ATVMJPZ8ekuyMx4+ZFVeTfliBft+ +Ci6/0s9AmO/FfDDmf3U1F6gjny1BJKVzpZcYAX781jnqcomBzAc3cG+cYPvJ +xRLBF/sIsNHUsnb5KQbC7ou9D3b/WQuX8ChdGiy00sNG6prA7PqvyHFjEjpW +l57Be54KHR4jzc51DVA94pAZ6UFG6dnqF+ePUoD16olaJL0WBKdu4yJKKEhZ +IukU7zcSrC3WrmourQDPowlhBxep6Njjxymkq0TwPCOZ9PJNETyqy7T2N6cj +M988lesxePDNCPxqqZ4OgXJfOpSKGEhjSqwwcnIcvN7yHVhpGAwHpnvS57lZ +KJTn6FsfoQnoMFOPeHAmHMgd/FneP5mIPnrhjnk6W8818hclemVA4Gp/bWY6 +A1FLwnfevEOEpSH0HmXbYgAh4dbfBuz3nc2k3VskweaHwfaSqBIGAsVtO79Q +0WEmX2HWcQp8LZiLPXelDs5WJQZ4ZFGQld09H6ULVHDbq1Dk8qMBal2/Lny7 +TkZFwquPO7o1g1albc61GBpk2D/Q9CQQUfpCSa3bsWY4GyC9f9sjGtiMpTkc +WSCiiYnENQGxNHg4aL7+3KtmwLmfjz03TkQ+mk2UO4E0SM3mlvP2bIYnZr97 +O78SEXZf7H2w+2P3xd4Huz92X+x9sPtj98XeB7s/xosYT2L8GBwXtElkcALm +h4qHn/y2hibege65RiZqPXTWvuv5CNwz2Ybfnm8Dz+eqT7jhWGigXq43uWIM +WA+nfTxX20Dj6RKxU2fYOpPzHAp7LoU9j8LWJbZOsfWJ8SjGqxifLlXMepWl +zt4P6sYtapV42Fqked8ujYGwGutjeHRemshgGg0W82PMa543Q/ZGRvyPD0Sk +OfD07LDxOFTUfb1KJFpDmKbphxRFFvqWM3T0ZHszWOu5Pz2QTYOu445XT7YT +EbavsH2G7a+kiUM3xwMGYYnLaXrUTltQHg6LMAuZRN4rM2X1eHAgllWzN5Zl +DT+Gn2uHlzLR0WXhb7YybMDYY9+FzYbD4FhvxPDcNYk+t5g3cFsR4MNo5/MD +7L+37OlWEmEfA62jjA79972rz+2Q+u93WGou/v9+/+J1rjkCl2zA7l0OZe7B +ONgGbgu12cJCPI9J6w9HWEP+4NK0NoUJGNj2mLZ5lokmTiXVLbL/zs8BPzo/ +Oo7D3PG7WrtkWegAzicojnccIvi/ZF1bYgPeBlxtS7RYyCj/V4epGQ5exfq9 +N95gDbl1qif8HjFR3Ee6XWw6m2946aOXfK1B/1fE0lenmWjhZXSP9clPIN5B +/2mdZguTgnOXgyymUPhGG9E9BDw0VJvv7pWwgs5r9oXHnzDQi/hV+JolBHi0 +PYs7bcESKDkWT/7794KCdh1L4yY8uNzfccdLwQq8krgyshMZqC/xRnvap4+Q +7PxgeW2bLexWUcNZvphCq2Ja1ZXmPoKwk7+XZoMtLO1pu5gWNoUM1+S2hFYP +wx+S5Spuig0k8BxyOCs6iRJ/xYen+o7DIZ3I3vo+a7h5zDWpmv29JR9+0vKt +2AYKHVZ5RsmMwKDjjrGVv1iI9KRl5piSLSilJaeLC42A8DdVK26uSbThS2/P +po+9cHcLuFcX2kKYwdoJVecpdE+Q11hpuhccr0oHyGbbgkL+oqKR4xR6nW5t +u2Okjz3nWcfO9NuA2LNLYt6iU8jIYJfZzqQB2HFr9bLr2rZwtzTuxfO6SeQX +1qk0WzsAhPSI1w0vbCFnnOdoWsUk+vj47RlW1zhUiby7ZddmDQeXCS/uEWSh +P5IxdnfXTkB55m/l3ExrCNxW/PS/f4+wePrp6d5rQxC5iy9u82pbWN6hODpt +NYle7zRTmAgcguqv0orqtraQ71ArXHlmEv1+4mauw16XOj/39rRy2cJP9YsS +t9jrkxRguHHJxASI56e5xEu/gGyZfSrf65hI8nFnxDNPHFyIqrgvCvGgVbf/ +09QVJlL6XhWfXRANn1IjHt7cjAPRAwaOx14xkTFlrMKEKxzeuctJh+lMQEjL +/m97GEyEv8B92fQiFaTrwz/5rWuAlfuEhR6w+cVUx+bbVzkqdHeJ8dxXqYH6 +vAS+291ktNVYRbylkwL5dC7przU1MLdTNF5fmYI2xOhU6wdS4Krai7Pp98sh +LnjlzM5nFHTxs5LEk00UMG/1Xu5HLAcbvf3+JnMUlFPTVILvJUO1ZqjohatF +MDhRvnjBkIoGH+Y1U6zJoGtmNbyqugguj+LeTZdTkZYC98QAPxkmsntJmd8z +YP99rfVDq2io5QS/bnIQCUiZkmVt9pnwROZsyWEvGlKVpVsNypPgjetZEeOO +GPDneX34xicaSrhNyb+9vA8kVz+b/CSfCB6M9zb790+hrc7yLmlX+8FS8gHa +058HlzzTGXsYk0hW8dzNPO1BSO9uF9z7OA/s8B5zHsGTqDTs6cbVT4bgYMI8 +RWikDJr4rn1erTqJzkmYp8odGYEDx9b1KYaVgXbLqoSJXhb69O6UrqXTKJx0 +VljYaFcLcxH4PfG3WIj4aJPsIs84vK1QXNfyqwZE074VRgiwUDn+6G1+4Qm4 +TBctBo1G4N/jsudFKhMFjUV4n9LBgfmc/yPm7wbo9JkebjjARE4pzakJdTgI +35rhJramBUQ/iJgavGcgA+9v2jed8ECe0yrb29wMxwclK29eZKDkSz/Xjvbj +YbyCWtdU0gazbpr+jDk6UvwkcqPLjQDO+XViG03bYPvZhjPrntCRRJCwvQW5 +Hi4H3LlyVpvtdy6cwwUlkxHliKf5SjsK3I+pfGVysBZSJsVEnaMpiM9TQjGE +SIKLcg/UB/iLYSZLVHxqKw21r1576D4PCcbj7yoI9GaCv6lJXw2ThsYo7uc6 +WP0g46L+tvRjAly0Uy4tHJ1E+za4Zj7lH4bq3j/9YtvzQEfCip7G3hfX9rkR +XlBH4b1vaFn70TLQulShsMeZzSNqpReEn04A8cxExoawGiiVavTfmsJEgVfu +vIz8iYPqWMJK1coGuIQz9PR4x0Dv01lrNwsTAHm9HR282QxKZij1M1vXHXex +jmoSJIL8qLubzLdW0Fnhx5u/iY74V5sQDXOrwEfnTAF/GAXWuA7fa75DQRvf +e8cRRKph0iKZZb+XAhbyPfcfd1PQtxd5MRJuREi41eejdjQL7O5esBA9T0ef +s11GRusHoUJ4uF/sSgJ0qbemq/pMoky7+6a1NSOgOoRLh6Jc6KHT+BI7WCiT +5Ch67P44aN1tlTo9VwpySe6KWTws5OQ27WTji4Oxix6pBdvYvvK2AXl0HxPJ +vLrx6W4aHnrsDwV/vtUA/hSNd2q2DJQx0DI1lk+Aem9LGxOpZgg6bi+jwP59 +SV9ViEaJRJCrIhTcj2mF1AJqXGQxDV0kbVt4uFACDktDco2a2fu16sShl6ep +KHG9l6+LUSkclk7Wu2dJhtF4wYHBQrafpZVu0EwqhQM1vvl90yRQmD91QYq9 +T7+YerZQHwzD09xfzjXCCSD9TL+jSGISfYO3wRutxyBOc3A3j34uVN40yQiy +ZSGtM+WGpxcnIK56p4HWq1Kwc9aYw0cz0cpW43sZyngwLisM5iuvhvCOd8f0 +2hko7vr2iyr6BMg76KBwXqkBYmdSL96apaOk8dhDM9pEEGsqjye/b4LFOuvQ +AAk6kqrjo5TLkGDPY+2u8+qtoO/qP7RWj4Z8VqCqF9k5QEqUMlIcIcGPW2uV +tfazvwerx/yX1uVCPLF6at6RBPtfPQg4+4KG9h+3UhcKyAVSh8DzBzNEYMRF +Ve76RkO1EaNx57/lgtye4rzHt4nwQJx4MewMHck/daqc3jMKnwKqR3Vz4uGA +9IBDYjkLHWmteJM9NQ7DmkHkyrEcyHrqE9H2lYl01ZqZ7pU4OG4hPcptXArn +rz91ctrJRL1ZMtJho3iQ3ZQmFX+sGtI+0SYmLBjIXdLvNh+ZACsqNli79rF9 +WMl4UsgjOrJDt64n9BJhr07n7m6vJmg9urzyVCENvZ+q/qCVTYKam3aN8+Mt +kHXwx5Y741R0htesZmtBPNgrNUxmfCKCRPfnTI31dNR9wKxwbHMCZB9yMEDm +RGgbtNTk9qSjiA8tzhtCE4COu9g+2UOA38G7LquO0dGNDYcz5xcT4EDWtZJ5 +XQJouzqoLyAGUlj7y/e4SyKUdf456lSOB3e+9feOvGKvT4UhW9HuMbBK5rlb +eyQeVq61+njxBAvFT99a06qCA2W8YIS7Sw7g347mMwKZKM350clyRzxoqLgm +zP0pgQ1h8tZvahio3GCVlIk3AfS3/ZQaGayCV+U5bqIMOrpfUmyx+y4Rul5V +DDw0BOj9NcBNWUtHkYk+TvLnSWAu66unp9AEkRYeoZ+0aaiBEKWnuYMMSyu2 +kJ4/bIGPo7HbmG5UtLz8YN8ZywmQ60+/VtsXB8q38jST8UxkNLnRZWoKB97L +5x8fFM5hz0UPjZD1TLSpLaM9ejUBXKj3/1zPKoETojyCHoZsf7QYl6ywjgjf +zOT8Za5WQbOYtNsx9vfJmxgy9WMpCU4vPKwyaqkHMxO9O2+yaOgUK9aSwl6X +dd2fxLzGGuFE7de4k8NU9MDn8cPvcWS49PXQMz25Fqg4kueSLkRFPZU0qz2H +UuBc6ighVacPpmN9/czlplBI2CVC96oUcL1jRlvJnruTfft+5I1Moovemnrb +8cnQb38h/rn/IPDjBR8uCZpELiXHxFwLk+GFwPkElvAwdBxxbWrfN4nUdi2P +++mVDA/X+fiTwkZgJL9C2G2UhfbUnAj8o58M7uN8B224xyAg//31ew9YaKLV +c2/VmmQwDddbZX5pHC7av3imLf1/eaaaf+WZLhF9/l0oAQ97Ln+QqEvJhsw9 +u+5syGagkkfT76yKCRCglnL92IUSwD+reKA/QkeiLVyPHLOJ8OZR+bqh35Vg +fBJ3pG8lHS2JM5LJfUqC7Q+f2O48XA+pjGya32Ea2uww93iDORl261zXjA5p +hMhQj6yfLlRkf0bRsVSAAka8d3xQdzPsEOdV7slk65wr7aI2bwvh+LO4oOSp +QTjvd7sk3WES5QzqJzrFFcJ6pdVLLtwZhl/JNO8/qybRheXBzR2OheDtIi8D +02xdUL0rwqaCheJ0Zt6V7SsE4bEboxlWYxBJtrujYclCXfTrleMLBRD5s95Q +om4cTMysFXkWmUjoAHneKqIA9r0K/xPNhwNqi1SQSDITnfPnkzKXLgBxORcr +nmwc7NQXS+lC/84ztehS9GvXyQeb3MM7q4bxsFYK90nIi4EY0Vta5Y+z59fC +CXqhYAkclF6r8sGJjoa/c3dHsXXXTFTbpYsVdfC6x5lo+JG9/id/O6x5QwbJ +c6rXqzQboTt64saSFVR0pIF3qsGN/b2ZmGZFeTTDyo7xN8HaFES9kqg0e6cS +Sv6ULa/TGwVvvvi7rUEsFJEfpPFVthIOXkzLnykcg/ua8Zs7lVgozORnh+5Q +BfisT2ruFJiAfLmysY8fmejp5rMmBwMrwMb/6N2CXTjYa7DJXPs2E42a9GZv +VqkArpOfBCffsudEwk6nu2uYqCqtyfMwW3cGFkuWV17Cw5EE2pf2Ega68np0 +fDi0HKJsP2ns/YUHoV7rCB+Tf+eWhk4LbfhMK4NZ+nMveSEiGFA7+hpD6ejo +Q8eeTy/KIGDEm8wfyp6HS4L63inS0YYnH0iSahR46E9o4frSAF02W7RDXlFQ +Q+WLKIdhCtwNPRxzaWszrIp38vqBJ6Nffbg7FyMA7r2nrrxqMgGWT3HWa9m/ +b+slC3dhGYDYlKnA6hNsX7j3fLDSUbYfPLsn37W6HsLulka0M3Gwo/f8K2ki +A0nI/bEkGbJ1Wqf+nMdD9t+brbNB7yEDiW9xGqgbr4OZzMmy6TUEaMLjzlO2 +MlDF0/VXTrrUwfHZBh2zZAJc4Okt0mmiI9xGKWvCkjr4tu7pq+7tROhPkbVI +v/DvHFJbyoLlyx21IBp4eJu8JAmEA44fbU+hoZvX123YXV0DmQ/Vvrs9JwFx +wESbcZSGMi+zOjKNagB3pV/pFTcZzglG03tJVGRWdHGBdoAKp1h1Us3vmoDo +tkFQ9gEZrfDpvqcn2AzWV3Ub0pfhgfo92F85l4Ge7mt+8byzCSre6OtrxuPh +vvsed8cTDPSMQO8J8mfP8bSg8Sp5Amw/UD4vO0VH4nu2yVsfaYJB9MbrYBkB +7DoDdCtC6EjnLt3lwHwj+PLcuMhSI8Isr0mGsRIdCbl42WpXNYKB2cDpP+VE +8FV/3bSrm4bK67g6Xrk1QpV6Jm+sEgkCrgpXed38d65o04bFhzunG4DbwkGp +aDUZ9mvTpF+xfY2oj1BqQH4DZAn9Ib28S4YoXPWm+nNUNNSdrpTi3ABO3jaL +uDEy29+cxOEXKaj9u9jdJwoN8PJI1anSwxQYY4qKyqRTkJgzKTx8eRtMTRfL +5mkQwCEzbGN2KR25Kv0Wmqtg65tEjeZTbQSIDJEdiDOnI0rS6R77y61Aty3w +1tIjQuu8vH/yDxr6IHNNfY14K2imSQ7ltxCBNXxi++RLGrp9tU11Z3sLyKSq +LWlSJ8Gyj9FuRez5mbTkmUOXewv0SSkb5+axeakyTWEdnop6zW7pr2PzkEs/ ++piwgQyijvxHjvlTkSAnJ7SRkxN6iZMTOpxbaeMf0gxGy/S9R8lk9udyUpxh +62ehkH3He442Q0XxFYsX2hTYe956TZIHBSWTHuhv+9EEl4/fcpdKokDsH706 +7y0U1Ob0IiYovwm2LU8m53ylwOXb6dSULjIiLV9DF73UBLbXrz6z16NC8+X1 +V8Tdyag2xHR3f10HnF3Ml95qSoRsBsu+v46GrhkdXzFyoQNMGHNR794TQXhQ +VmvkAg1x3zh69dCyDoh8PrHeTpsEhlXteYeW0VDU93tHUE47OIvRWhmlJLAa +TPRDOVS0TyU1g+9UO2x6dynruRQZaJ1TeL5TVPT1esftsu9tQH45zB0cQAZf +Veucsu8U9EHYJMw+qQ36TlbMLmWQ4fhIWJ190r/zQCOuzRuFzrbCYPKr2cYU +CiwauT8KnSWjjUuuiSkktkJSTtXi1e8UOOPqbqCQSEbasR8frDFohVtDa9eb +6lNhpjC7bo0BGd0octY69bMF7qkPtmREUyGMssPr1E8SKjjyopCV2QJK536o +hxKoMBt4CcfKJCHVIh/uqbMtsMVW96zyThoEB++VnzpLQu8X1baGelDBmP/k +BbFlDfBp7X6nVRfIKHJx7Q6fKQoc/9USefYZe99n1zZpCVIQF/3X2SOnKKAc +GkUgZZfDyj9jtpONFKRGbJIxSifD6b6ummy/Ivh58Ff83TtUdIwvJ/IEnQRT +Bfw3+5dngtB8fNvcLhp6wRqXedD5Ce5J1/feUk6EFafLI9dqTqF0o+mY1PcD +MLxJ8Nynl3lggQLkzqdNIlNTI6u90cNw3At1mmSUAfXJDXnF3yw022vKq6s8 +BrsrDQ+T5WqhtxO8/zsXsZG/QO1VLNuPv6R7B21rBHn3XVv6vJkoced7Axkq +DpZWy6rYLjRDfI77JuUyBmqa5V90fwAgKPBzrseCCssewHbqYzJq55M/0PaE +Akqn5njGVtTCXGBPbd1NCnr26kblkCIZgoXJAqUfi2BhiiKWwN5HmolbjK4V +9YOLSe9KHmICaNpqqHLRJpHPtuVDgzFD4Nje86fgYB7ceV1ll6czic7ykTYf +0B6FV2qPzmSeK4N22d3y4y9YKL3YSGRP0zhcf3tOX6uhBgiPGXodg0xEWsM1 +efcxDnKfyj8+99//u1kfHHpXlIlEBJz3cz/HQ9lBjzdWec1QsBSVK+gz0Pfo +saWdbF58ZdmfknqsDXQ67ctr7tNRb87KT59PVcMH5dojJukU8FY3jj9uRUG9 +VwLW6FyrAcqACtnYngKqsapOW19S0LnPPBSdcSKQbUXyU0iZIFewz8pmBR2l +cklaHGPrzrDgXdveeyZAjuu5AypPJ1GAw2i0x6kRkL39YvF2fy7cy41Z1o9n +oZtHnOKfT4zBtZ0jR94KlMGXTIEXtxXYfkrH+5OpFA4Wo2TXJpnWgGa9+J/b +zkwUnpd1KlcVD44J/g+uxDdAeZ7C6v50BtptGTLRqsLm+5lI+Ha+GfwkK7lj +R+nIRbdXa3wzEczNDglW01uh6PhLHQthOnrcZWhxtrgUbPNOzMSNkkExVuX8 +jQNUJPPTpdG6tgyW3BnaURBOhvPrLaxNPakovLBkzaHRctDhPjpmpkcGGbs/ +HllVVKSgVxShoz8Mn5rPbXRYnwBzviefPJSbRJWlXJO5M6NgOzEaKn4uFwaZ +Zjt077PQ5WLPzcevTMDyhlQf5ZpScFz6YH1oExNlrdsi8KUfB7L3bmv7UavB +8xd4PuNiotMfYmqjcHhI6HTvXmLRAAZiGmfsDjCQTq/5lbyPBFAhBlrc4W+G +FtyvkKEbdBQkFhASnk+Euoy0RqlnrbCqhMfUKJ2GZM0oD/btzoNcAePAie8k +kCwc6UnZQENZMfSlcXsKIN9YYEYvjT0PL9w/udyGhq7z80yvSSmE9um1eg+M +SWC5uT9o12saqvQUP/349wjMpDb6KJXEg4fGEmVaMwvNSaqMFjweh6N/xHok +P+dAX4lcsJoIC134IeHe5IIDgblceb0rpeCdUvOo0YyJYvxslkr642FAyW2D +091qkFuzsi40goHaeUtxLg8IYBKlAZdEGwC9Lvoe0kVHHyuL9v76L9e5RIsh +WdUEuPzrB4/z0BHP5N0MOVX253MYL1qn1AoR0+6hVHUaGjqooHTvRxLkHnX9 +KvGVCNNbnip6LNDQEu6ctq6FFHi6qz53PJ4IQb5vyNFH6ehqSHcWLE2F24n7 +a+Y1ibCbN5nHLoCO6EqHmilTaeC/87MofpQA3BL+Kju66aj9PiOYHDcGX1hh +5AH9eLgzdlZm1XkWahG30liyFAdbcg2fbPDLgehrS6oYaUzk0S1xRlsaD++X +1nvfXFsKh+cchiOpDPR1S//WFWx9M/DnyLu3/NWgOv7y2pdtDHTaTbn97ga2 +b3/2KSorAWDj1G+3Gis6Kg6KPjY7R4QdXmfXKDk2gZRLbKR6NA1JnyD2fa4k +AdOvCz/0sQXW5ztY2bN1fuvv1quXdk5A5rovMotjcbDV9XTty89MpOgXflWu +Efff8zrfF3I5ICVm1De0n4mOPBqmWnzAw4J1qDN/cwkYF2i/eezBQLt4o05N +dRBAT/eqzKr4Koge5u2XLqOjFzb3hL7lEOHHd4oBjxjAEP/WF5rTbN2YE00c +v0uCL5JTyoPiTcBl+dXmizwNzXU8rFXcR4Zr32bKItm6Y5Tvtt+fK1QUzJn7 +MRweWM6Z/zzZRVrtubFQ8GZ92/7ffRDWoGLL4p9CDa0blA9rvACqQHTbnMwA +uOo34zb0TqIIO6adYmIMXHIU2ieSMgRC5YqOuJOTqDA5SElMKQpsY0gfRVeM +gJmSoIzoIguZc3yrBse3TnN868Imw87rN/FAEqJK6FVng9ljzYPJbQzEu85Y +u+sOAXK6y8/4+5SAVfg87uVSBlKL2LBR2IYI3bqG0yEKVVDkumSzry4d3cLv +vqyoQoJPCrdCDgTXQ/7vmRqnhzR0MeSbnsBPEvjqJlbpdTSCosq8VHEjFYms +PnF7TxYZHmrPlbpuagHimayqCW4qqsbZfA0IKoAU9RSuLo9BOBHrdeiV7yQi +bF4nfFsmD2IqxPttI4Yg2Jr/ws5jk2hDeEa69IdsqO0tXxqVPgxNHluUogQm +UaiZSuM3v0xwb1nv+7hsBLYcCfj18x0LKV33leXTToflnj3OGjAK+V+XbXQO +YaEY6e38qqKpANSQwtrmMZAOVhHjP8FCFWkH7uyeSYF9Uedjv7J5qZURHTq1 +gu37OL61h+NbfTi+1XXVkRVmHrlwf3vn76FCPMgdao0Qi2MgoYX6T0HCRHCl +nRodly8BaYEvufxRdMS1onTX9SoSZG59LZC0rB5OhIgG+4rTkP4KldTmm+zv +Z9d9yLjbCOO4VZ1ZFlTUYrqz+ug6Cmye1CBHtTTD4VXxl1USKCg8MPRqnG8F +mF1wg9TREdi/OvH040wW0kyy0zqvVQ4jETzP63GjcPHw2ZujTmw+4vCQG4eX +5jh8VNNmnOE+XAKbncX2qg6NQ4DtykN2k0wUGWNf1VVQDPtn+IgF7yYAdzhe +viGHidRXuKZLPCsCOffelV7WOKDtKz+Z7shEr7cPjGbcKISX41/d/Xtx8Kdb +8cJeaSZy5/jWLI5vLeL41h84qTw9oTLAFT+/Zk0lQKfFpULLAjo6c7G749hs +CdQQ9b9OHCPC8KXPdR+u0pFPVJaSKYkMYzcj767d1QhvQzutls9QkA9L8kTu +Awoceb7fe7MzWw9IZGpsPUBBIud+R6J89veb9K7aaHoc1qo0fcsBJlq95uM5 +lkMdBKSwAlQmJqDrbBLj3AMmans/sfBkWy0IuR7bFWiPg60nE/sTjzCRAoe3 +sjk8do/DX+MvnoXLFFfBdqkULpwuHnaMkjvV69n+fat1S8XDSsBT49L1S/HQ +uG/eo/0eA20feS9sbVkBVzZLnd8lSYDWgBRfQxUGyv3Lt77n+NaQbwXVl61q +IGy52aeCP0Twa08cNm6koa+ClWQrxWq4LHRMtPEUCd7pLl8Y9qWhPYlLrrmI +VcGz68uMMzNJoPNkm4HjIRpyfiDgVE6mwFYjM48t4s0g9Osgob6fjATjmGPh +qU3w8Z5qv98wDrhTw1a3v2WgqQP7NJ/+boTOdbc+dB/DQ+njp4z1IQy0tN8w +5LlZI+jkfi+uKcYDzfuyo54RAwU+qY38WNwAEbLhXrobCWApXf/osiB7znN4 +rpPDexocvgtrWvH07VQ92EmqXlAjE2BJWHTRYCAdve4kL2moqwPJP9nGsbpE +eNnUZWKrQ0fZf/lWF45vNY5POLX4vAEI6juUds6SwO6zdVx2HxWN6bQ9OjoL +kOMkKeqHyPDDv3zcJ5qKHp/I1G5uroepUr3Tf4LI4P6Mb3jJWSpSOaLfuy6r +Fd47OomoiRNAaK+/dVAfHZmNhv5e96cFRu75ci/zJECEzybxwGg6OjciFLjP +pAWKD0toxLJ584/pm2PxFnT0dlvQj8CcZjgocDB9Vp0Ij6Vx1JF1dHRB4G7Y +ruXNUHNv+VrhWCJsxxmLWw+ydQuH50o4vCfJ4btu0eLil12N0DTYF/7ckAT0 +tqR9IWY0xM/xp/CXP92wS2qH6cFmeLZ6+yDlDRmKV/qs3vGZgkKp23zm45tg +yYtL902EKWBduFU7qYSCDnmvD93F0wQfBHOj+c0p4NDjtWrMnYLeZyTuxl1r +hKVr3qSviqWAjYmg54w6BWnhFd8bXemA44Gfwo2ViWBw+LqM+RgNrbKqijpX +0Q5l+NyimadEWNQRrV1IYeuoyK8K9/nboVSMEDJNIoLbUinxUnsa8kzlG+6x +bQPKro/bx9k+PcTvdXbLDhpSjJWvd6puhT2GW6cqw0jwXMszT5dGResXT0qY +sf3+N5XgFT5EEljo7Tx7KouKnDn8+oXDtyMcnu3g+NCVHB96iuNDBYJUNN+m +tUJh9EHb32x/Y6nx8UbFKgrSF+Kt7V3WCjbT56oPvaHAjbuMOL4BMvIb39Sm +5dQCO5SiDswsZ/vNAwcfKbL96c+MC9Hre5vh6I7tv9fpUkHusNDuww5k9PmO +X/hJjWZInnj7sPQBFdTy+eK1d5GR+qCWasIhGuCJp0UWhhth6zfLdK8rJDSa +DMqSG0jwLELBLrs7BryOxkV3EGio+A9UlxURgcXHwt9QigWRdEvh1/vpaOf0 +6tpvp3tBN4+XJnI3EQyJQx5FXlNIPHNFXbtoL5w08Y0T90mEKy0Tup0BU4jX +2NL0JQMPd8yNcsoy2mBpAVHiG4WOhjM+7zptR4AA6ezbXBfb4MU9szXpL+jo +u8Wywka2j+hnme53TYqFgPOlQgVpdDTG+RzY5xLlfJ5nnNdj98Puk2veMnV0 +ZQv8MJVXenudBksNz63XWklCXHinuktJRLbOaKDnqcbCuP0FClGLjoToOxYk +9wQD1xuWoYYOERiep2/+CaKjlD8np5b99Ie2rCUvxKWIcM5POtUwg45kjumb +VTmHQwU1qsTNrBd+ajbc4vWdQldEfogOPbsJZgXlTcN9PVB/tSfNvmYKHbss +FB6qEAT86wta1vZ/BGWNoEtukVPoHNVOlJRGhY+zQwUdbQA/+OzF/XaT0fuj +d53uraFBVHXPe2P2/igNPBT6IoqEWlc38m1LpcDSEHLKelYNJH2xDqs+Q0GL +RFqW320yxOxY0TcfUgFJW2V4F0Ko/8SLV/eFqZlXAjW18kfoAzKo+rc8pPn8 ++/qx98xq+m4SNBa92nwwsBiEvQ535lXQ0Dkhu63zQiS4fA9HLUwohsOSqpvn +P9LQ7YEryeptRWDylKrIs0iErWGUstPsdeX6DzypMyC+TpIEnsMV5wTDi6Em +08s3rJWGisxsRa5Pl4JM1P3Djb4kUNioz9PvTEOPlW/gYuUzYenylC/HfQgg +sNInIliYgQSOZV98mJYKTRFVW+7tIcDi65f26wzYfHGucCovggA/o+R/pf/M +gkCqwFsebgYqDsNn5jrkwTGGr6vFLAHM6hmm3yvp6IG7htGNI9Ggb7leZ0sb +Dm6LV1WMHGaiwXf787vZ9RhPtZLd7jiYVt0Y/fgQE0Vv1Xg0MJEIiU/nGHRJ +PGTMc42P8jAR/fExfmeecfBqCe99fyAeEu4siHUjFuJtE9O5qfwQlAQlxc48 +HAUJD5JxfhoLJXKuY3JeF8+5HkntJrzdiAe/je5RAj+z4cV4/fEr82xeu3q+ +8ZgQDsQU1kJtehx7vcSpNWczUUrUhhsRLAIcTNFZr6hVAq9h11q5Ijpy/Ue+ +MJZzP8TJvV/Oybvn5+CDHJyPg+/esG9J44sKmEgV+hnkxJ4f8WuXf3Gj/fM+ +LSIKrD2FZDC3ktSOF6yDY6vIeB1ERfNrq7f/eUsGv1Wb+6InayHgwJGPNGkq +EixoVduRXwfLnqjJig2x5yrjqGKuGBWJc3A+Dj7MwfWDuC9erSeDdovpitHf +taCcZKJqokxFiVrHv6USq8H0dVPsZWcyvGvYF7M7gIr6kq9vpk40wKEYeVuN +MQoIJbu65f8hI5VKEc1o70aoUno7+HoFFZ6NHt54uo2MNvcpfw7upYCEauW6 +k48bwGuF9tBvfgpKPSw/JjMKINsaTnjJ5inKhzPGJ09QENfnJWKosAkM1h5y +t6mjwkMb8cXTMyQku2Xbo1fvm+He0JzPdT4a9FsNlLk+JSHL69493g1UmAGz +M3tPN8F2FTe5yVkSMg3XF0rY3ATHV9I/pkdTobRF90bFNjKKrzmovjO3AXq5 +fhmejqJCe6Lf7H41MrJeXd6Q2F4L1hEv7U6+YOvQpnwNm4sUhOXcn+Dk3mN5 +93g/2bsX4isgRSesKMiBDEEfz+ZciKeiRvd4+eJhIpROPJw6W1sMfj8v8gT+ +of0zL0bOz+7jpQ+hIHhR5FRW6AR8qTzjdq+P+b859ef+yql3z8zmDV6XAfay +Wzqu78VDinyH9K8ZBjJSzo9Bp4rBxkK0YZCLCFLn1uNmU+mIwsmVl+TkzO/h +5Msnfij63mFRCYXmUltrgkjw+YKdbKfFf5/TgX/xGxkyxHQNHtXWQsPLpq88 +C5R/5nScHz6Iu/6DrT8Nbj9Vl6cBb0ne1SXXSUgjhaSUVxgBA5K9t2iW7HnS +appjtJeBJgSub49MCQY94UXXRSDA5ty86guTdNSrXLvu1VgYqPrhleTu94OP +m2lx9JdJFBU1xNyjHQ6O++4/r+Hvg19P3I0sVKfQ+ByLd0yZBru3nXiYTW6E ++UOd1Xduk9Ccndds0GYaSAjCZd2fjRAWcpplzl4nQ/de7Pv+vQFafm5KGsqi +wviJXPnMzWR0WHf1KroZBQ6KfvDNMKiFy2d2vxdNpSBZ57cPY1qqYCttRo9Z +QQb/pE7ys2NUdIPzu1hwfhcm53fZ8V1/c3rwBOSc9FfJ6ImD5bSOJ2W9TGSQ +3Z6XypqAzbhSt+TiODgwe68ltpKJVp75nzwF8l95Cp8zU6KKUBqsHQ9/0s3H +1ucbW05Ir2KiY5w8yJWcfMiPnFzIS5y5tI4zl6w4c4mw4uyfaksivMofPPGG +twQqL+f/7LSio1M7D4lw85eDcl5riLY8CaKA5d5aSEPyYYcPDnwngHdgZNbe +wli45C120LeJPfeuPsoTfkQAxU9+5KFVL8FzRwFx41oGuhOeV+4pwNaRm1yr +ajJiQWirqRBXKR05NQlI36qhwhi/R8rOVwB1xUuFVNaTkZGmVqYPHxVsRXft +lrpRA8PsqVs5R0YOnPxuHCe/e4iT3/0vHMv1tvgr1/tfuP3BB8vflJJg5nsk +2WVvMVxJfu6XdJyG0kv4u+VekIAg6C6nebwYPssPSCs4sOc23vDsSTu2Tg0Z +Ue2+XAx/JHjXhoTQkNn96Zx5ExKcvrSh2f52MbzVsCtjxtGQ0+4GYr8xEVQk +lRT1r2bBguMTsZg7dPS++KfRPj4iaFKfcqllZYHoSQUIyaOjKi3rnMc4tm+M +PdMR25gFb1Q1WLOddHSJkwN+kJMDbsbJAXf4C8fywbetUbhvWY6Hr3eaKGvC +X8Iwjeuu6WsGIq/LtbNTwYOGRV3MxemXYNKfXJj4jYEMC0V3L5XCw9JbXbVp +P15C8uhdrgFetl8+FMgjxM+eIw2VbxNXxgGv/8fYIhEmOvrgQ2T3GA7GXVmz +arviQML2qudJRSZ6QOnDB1wehWlDPpWnr+NBYuoI1TGLhWKWCavpX8ZBd0va +gw+Xc+C+pwFD5hoTaT88NEo6SYBlB57jxqNK4O2RK8+apf4vvxvPye/25uR3 +u3BwHAf34uCfObneapxc72+cXG8s71v1r7zvRlHnwJgDZCjYdvzL0tA6aF5v +WKDB9h1XEjVGPC3IoL6l0X3wRh2s+ykstYSt07qe7zZ7/ogMu5WGqecP18GJ +T6HtdZeoyCWjuD/wORmuUFYPzSvWgY/77DN1tt/cVbt+j+hpCqz69qkvl9gA +e9yMD9YHUtCG4ZqknYEUcFxJyPpZ3wDnmRaOF80oKFjkp9jlFAos3FV5GZ3T +ADKxviWVhyhIm5MDvuj/Pzng/JwccJ2/cCwfXMrCOfOhDhV27ghef6OFzW9l +D65tdCOjcefwgdVBVDgTuDXk3eMmeIaTfbZfgYymeB4FsCKpcGGtcIbE/Sb4 +2f3IoGQLGRkn3hScT6KCgXfUxduuTWx95LVzRIyMLjm+sfxaRgXWr/ISVesm +uBh8zA0tkND8Gl+NuSsk8NddcUnjWSZQR2KWnYuhoUumLU4xMiRQ4nrZa/4m +E3bMS12Nfc/Wpb0SKg7mbL+wRD3j9Y1YOJw3QcV70pHPDp0fN4OJQN0VoFxi +EAueqrWjbafoKHt10szRK0S4TDB8ddMpFvSUREQCnOlIjnNfB877YPffJcn6 +SbmXATZuMZ6fnxBB2yHqWaMhHWW2iHxkVg6C4L2An94382B+nb+ls9skKnRT +SCz70weE2I7GL4sJkJPXnp62YgpZqJ17ue5gPzypuTiT8CcBEjrjSRYLk8he +oH33lXvD8OUx91W3VXnwu+fbs0eik8jL2mRl7OAAxD5/8lQ+NQGepiz1c86f +RLuKqHQpuQEoqx1L0v6QAAduC2wU6JlEXAMe14wTB2DtobQPk6UJ0PiSFCxY +PYm6fkeLjOr2gbuJPCNGNhFK+39rHds5hZY98Yo+3tAHgoaWXW2rEkGv2ZSe +uGYKlf/2l5kn98PH9e2aQh/yoOZlvUDfx0mkN/h12VetRtATbUm0Y+ul5vNT +N3t4yajveaaA071qMMPJOgx8JIP8gxHSJnkqyrXZE5adEw3fjy4GuOzAQXjq +TH58wv/lWZ//K896w32/VgfH12BSIYVXH8VBFNnkc6M8E936K7fajpNryWfq +1V55tAxK6K+f9POTwMMlrXrgHQ09yY5rb7zZBMGRr0b/LLLX42yLhXUmCaXt +KFoufZ4AyruvbUqXeglcPjWRX5QZyN4xP8cKjwd9d/01hr4v4bZNg1jIYwYS +5eRBO3LyoEs5edCLpf/f+MrKZW8f73kOjJFt86vYc/Hi4p4pzx8MdFTx9Okf +lUGguIzb+AQDB9euzwVLyjFR8T98U+zEquQAsQLIfG/8mFucCOjC1osf4uho +zz9ynzU4eA4HF+DgX4wfXwx+cgc+6jHjxf3HQYKvdcRBioXunVyGy6QGwO3N +l994KU7AaOW1y4YzTBTL0eGnOTr8PUeHF8klNO3dDzBh3HZ7+gEFGg4YXRhz +pKDaf+Q7V3JwxMEdOXjDl5e+2zuawfW8/aEz1jS48uFrwx1pEoo1eVi7SqMZ +/IzufrU5RIM0hqxEhBkJBT2OXDJ00wsu6mm+N/5FgNLn238nNNNRknZ+v9ZP +Knhs6qa+nGiEpsUrGoqVpH/qZ5rB8pOa0hR47nTru8bvGoi4NUhR7qeg+IrA +t/Ifa8BDyRF0hSlAC+NyO0WnoB6LwZ/cLDaffk3gjSsqBj1q147RqX/n3spx +cm+7OLm3I5zc27/xoX/gWE5u7L7cRQe7QrD/utS0VJ0Iyfg90gredFT5QeWD +110c7KobXjFr+hJu1cemtTkxUV8jl61xIQ7wDncntLXj4MNx6nfj40x0bsaR +2BKLA56XGeK/TsdB5HHDohUWTPRj2Z/cg8Y4oHwf1x09mAhVDms9Lj1korOc +/FeDv/Jh/6XnUyWX7L2RQoRYy6vjLvdLwLxjcL25DB3VuO1RCyopgYSyuJQ7 +1UQwerrqiKAoHTUZ+8lTaGS4ayPXePttLWx8u796m8D/f36rxl/5rWZ/4dP/ +P/h3VrtZQUg9bJFdFmRwlQIyrMQMsUcUtHWZ9B87EhUm66JFFAyawOR4a4X9 +GxKi6Opa63ZRgfvn9Pxr/SaIcLo9v5dKQjfXJ69Z0U+FVAWaSTRqgrR935rv +jZCQLd/bpHo9ClS6DwrSz9cC+lAvUllI+Wdu6b/WJ3a99l/XP1EU3fgmiwjc +Gq5000PFcCcp6nKoNB29XbHK5KlAMYxY8zwb9SPCzapygqXW/+WQbv8rh/QP +J28U/sobvc/xifEcn2jH8YkTBepvpp1wsCbMaJumaxxc3Rd8LfkWEwX/le8p +wsn3LOPgVRx8NQfHfAQ/x0f0cHyEYiLjvcYNIgydK+uu/1UMlYOD3jUn6f+b +U1n9V04llbMON3PW4W7OOlws+p/ryznXb+Fcf7aR99k9CQqMvqeK2W+uA8Ma +z2b+QQo6EmYbw3WwDvotSoKdDrB1k1vTD7MaCnLh5Eo2cXImQ//Kl9zOyZe8 +wMmXtOb40y0cf2rF8ad0cfNsBSYVOrO+KiXJN4EWMe+ZcQsJ3fpHnqPLX7gg +B6/+R/5g7T/wOxw+Pcvh0zMcPj3EydVT4eTsnePk681y8vUIHD9ox/GDlzg8 +G/gXz1r8IxfvBAfn4eDdHFyt72521w0CkIpVYmTXvYSvK2x6b0ozUFBauc6q +t3g4lb2XPzbwJfw4m6I/GslAlWumfmwQCYFdme+U2vYR4O3M8a6Bkwy07B/8 +u2HLhpTbsyGwSb354jkBPGzmEZDdsYaJsvmrX8VcCIXqhbmh/ms4sF6ydtjB +jb0+N8Qb/4l9DIKZ+U/eCxAg71Z0tcc1BlK1px9YftoNEue9a5Ra8NBUxHhu +mMBATzg5bts4OW4hnBw3Pc56FvhrPVtw5qcWZ36u58zPN5yctY+cnDVrTs5a +1y3dpFkTb8gMK3w2RsDDSaNXki8CGahczzapqmoYThMEGw/zJ8DZFZdeT62a +RL1nXs/ceeQLEZEZw702IyBclSscyGKhqd9XmPtexIDtAzVll72j0MrbB8oV +LLTzH3lb0Rx8kIOLcPAI9fBLUny+sHnytfPzd+OwOiXog8dKFqLJnp35ahIG +5+ciRaU+jsJ6lUk/xXA2brPWa+OvQbgfM7X9sHMCGBiOK1e6TqLV8q7p23oa +4dZk6yNR9j7Y5zJ7y7SThB44Wp7uPZcE+eXpYltu4uBOyDepuzeY//yeSYYR +5dv/FIKyxVIVOQsiPCmfLee/TP/f3Lqev3LrLNyjzWTW1sMOJ7IazxkKkHkT +POtjKf87D3f8NQ+xHNnGv3JmD/+1X85y9svk6l7pfftuwc+nfbOKm/CQ6DY2 +Q1rB/vypZQETX+9A8a/IDWb+OCgS+a2TdZmJNAxlPM/re0DfuvOa5vp9IPfC +kctNYQoZEg6c27HuEbwVzvXzExmE1s/HydzpbH0++dbauysAns3ljrr4DYPf +HVxBtOQk8uWch6zNOQ95L+c8ZBHOebn1nPNyDTnn5foofbn8WuQC8EktZq57 +3gP5ZT7jq1qnUFuaxJnT723hUerXaslmAoRenVGXZdGR1eqv4cPVXkCItqp4 +aDAKC2cMkrJLWOiz+/+ch46dj27PORf9X+c+MU+Jrcp4TYQMNa7SalQMYVXn +uU7J0ZEQ57ybTM75NyTOuTexpJ09a7ZQgPjb5uC7dXWwx4FFKuqlILL1qYbV +Z5ugW+L951a2vjO7f6tlrpCECtNqtEq+UkGGV/v6bwJb74l39G+uJaGSRErR +A8FaEH9yYBN+PQX4xbceIU5QkEBF2M21FjjIo8/ZBu5n6xx1amSdNxOVeC0L +Z14rgVvJDL+6fCKsSL6/ffMmOjp/wr71+9HrELl0WdTlIjy8cHeMG8tiz4H6 +lXm0/kagL6ir836mQqWpVZone55v45yv1MA5bymSc85S+CnzL6H/T213Hlbj ++sUNHBFCppIhJGMRkpnchJBKIpIGU8hYSRoMDUikTJVmijRplErDalAqJUoa +1a7dntq7FIUS3qfLvc7venuv/nz/vc+5znX2M91r9azP9/kRCM78QqmqYyxo +vSSSnsk8f8I23XWoD7aAj6eitR+frIO3K6UN9eeKyBut0SekZ3LB8vWPYq+e +VNi8uFVSu4L7X76cBM2XO0fz5dg0X34tzZ/fSXPmuUNEetxgNlSn2n51s08A +8zc7xJfOEZC7/eSklb37ffbW9Hhwy3wl1sX0s7Xak3+HqArILprXzaV53Sto +Xrf610dSQ+ang8EPlwVKS7mwMenglOxMLvGhOc+JNOd5B815vhHtLTlMxAOx +GJ1BBYrZoEQOxxzIaSKyCr8ltB1MYEtL+/ezzHPO3/5XiB/T5/ZYq+54lmYM +Ig0D/xGV9bDdgQudWUIin36poMOMBW8fnvq06ZwfPJne1FliJSRDY7yCNMY8 +BJ9J7teLFrGg+3P0vREPhQTfm+J7VHx/is4T3Sd6T3SP6CDRP6IPRC+IThAd +Hbo69HToytCZoS9Dp4RuCb0Sehv0N+hu0JOgL0FXgo4CXQV6CvQD6AnQEeDc +PM7R4/z8kokbyXF/gGuSo9alvOIBa+rSZwqTOQSdJ7pP9J7oIYOoj/xMXSS6 +QXSE6AfRC6EfQjeEHuYu9THoYtCBoAtBD4L+AT0EOggNOvePDgDn/3GuHefc +cb59l/qriwfjU+HLExUF63wuXN+TuvC9CpeUUAe+i7pw9ODoPNF9ovdED4k+ +El2kceTGgrMfGqFZdvgYZ48AOKul0Hnvs4Cgj0IvhU7Kgfof9EDogNC9+FMH +g/7Fk3oP9B/oPtA5cKh7QO+Ac/wD6Vw/zvPvpl4d/Tq69ePUt6N3R+dOCrMD +R2gmQc+FjKzvURzwdvw9ZpYhj6D/zKAeFB3oSuohz1AfiS4SfR16O3R26MR8 +qRtDL4YO6iZ1Ueih0P9MpR4IHRC6F3Qw6F/Qe7yj/qOFug/0DOgb0DVspj4f +vf5x6vSTqedH34+u/wB14OjC0YN3+Gyuu28YD9MkZd1vHGyCNY2/lyjc4RN8 +b43vsfH9NXpR9KPoRtEfokdEh4iODl0dejp0YujG0Iuhj5pAvRQ6KUfqgtAJ +oQ9CD4M+Bl0Meg/0H+g+GmhOAeYWYF5BLc01UKM5B8tpvkENdfJ51M2jl/el +nhx9Obry5W3WAvH4cHh/1G7u0vpG0N+joNxdKCD4/h7f5+N7fBvqMxdTr3md +Os1l1BmiO0RviI4OXd166unQj6EnQ0eGbgodFfop9ELoh9ANoYdBH4MuRpvO +teCcC863bKbvt/B9F77n+kz7KOyrsJ/aTvso7Kuwn/pj+e+9C76Hwfcv6FTR +raJXRaeKbhW9KjpMdJnoMdFhostEj4n+ED0iOkT0h+gR0SGix0Ofhy4P5xrR +56HLQ5+GXg2dGs75oVdDp4Zeq5T6LXRb6LXQb+FcHDoldEvoldApoVtCr4Rz +VDhXhfNU6FHRp6JLRW+J/hLdJTpDdIfoDdHXobdDZ4euDJ0Z+jJ0U+io0E/d +GHTwmpgt09er6TRlbqiEsuO+GdPdWwjmg2BeCOaERAWrRGvJPIeH92N/eQyt +hifra4YZK7UQzHHAXAfMc8C8A8w/wNwD9P+YB4A5AOje0cGjf4fdN8e8HRgJ +d7bqfrFvYYG6U+7Ea5OFBD0q+lR0qegw0WWix0R/iB4RHSK6O3R46O/QlaEz +Q1+GuSeYg4L5J5iTgrkpmJeC+R2Y54E5HphzgbkXmHeBeRCYD4G5EJiPgHkJ +mJOAuQCYE4D5AOjw0eWjx2/KW2Wbq5cAGorHl+vHNsLR8t1TGmsFBJ0qulX0 +qugz0Wui00SXiE4RfSK6O3R46O8w/wXzYDAHBvNiMD/mv9wYmm+CeSeYc4I5 +IJgLgnkgmJeB+RmYm4H5EZgngTkSmJuAOQqYn4A5BZhbgHkF6O3R36O75xhy +R6q6JwPRupujuawJ1vF2ho4IYuor+r4E55hwfgldKzpX9K3oOdF3outEr4h+ +Ed0i5uNgXg7m5GCeDubrYK4O5sJgTgzmw2B+CuapYI4K5oxg7gjmjWDuBuZw +YP4G5k1g/gTmTmC+A+Y9YM4D5hRgbgHmFaDDR5ePHv/QYPWkFSrpMHKKi5O4 +MwduemouMzrOIzi/hfNcOMeFDhZdLHpYdJ7oPtF7Yn4Q5glhjhDmDWH+EOYO +YZ4O5utgrg7mzmAODebPYD4L5rVgTgvmlWB+CeaW/JfTQXM7MK8DczEwJwPz +MTDfAfMeMOcB8wswzwBzDNDto+NHv98qtfX0tbBM2GR9JNPlEReytsx9nanK +JTjHhnNtOM+GPha9LDpZzFfCvCXMWcK8IcwfwtwhzOXBnB7M58H8GsyzwRwb +zHPBfBfMdcEcE8w1wTwTzA3BHBHMD8H8C8zDwBwMzHfAvAfMecBcA8w5wHwD +9Pzo+9H1/3W6Fptqlw1tAUdveTzgwYtVL/UXynMIzjfjvDPOOTccWLmtVJ8H +p7M8LW0dAW4OL8rkXucQzaML5bWecYG1Quv6wj2v4J614ZWVhlwyaPAvuaBa +Dohunxx4LP4FmEnFK55axSNXn+gnsX80wV/2jvq9i5+DDXe3WOBkPskr3n51 +Ricbhn5w+5j7Mwh49Y8trf7wiQ91Zbf7+OK605oen+wrQbW40PrE/Rh4Q2SH +/rjSQrxVaoxu1NbAtrFuwy0dkuDpNrWs22Ei8tLl7W6VtjoY6q7RIBOdAWOG +mG17AUIyXUpM3KaaBQfuRR50esL0rcppru+KmsnqcfajlWUa4c38lE7J8FxY +uKPwrUe5gKATQDeAXuCDG/fQziNccJesmbnlVCr8/prQNMOXS9bWe777dZ8D +crEpua25iVAyffJAKVseyXni+WPH0yaQNcmO/6gcAwNVJMcNMuET9I1/B/7z +jugcnak7tqLu+Dx1x1bag32esGph1vTVXks3voTCGSnO7JMiwvslYyRdXw+r +32gqppqmQ8dxb31TRyH5+nCBUvaWBui5fi7z/K8sYMvq7pvl3kwKKr2//LJr +hF8Fz45J9LwGpVOhsne8BURzx75a0S02uHeapu9KegO3lE79GhTMJ+hp71Bf +i672oFe4sf1u5n7wsVFtj42FmEF2j1KYfSfjQkdq7FqmHz/eSH6xQ0CG91wl +9aaAoNeypH4L3Za6XHvzxSMsWMg/WHRsZhoMiEmbF7pBSBavj3aJjm+AKyv3 +x13RywJ9305pXe1mErWmTNqjlunrs22OzdZ9DYc96h4+0RcQwbP3JsImNiw3 +c/exkngD3obdOclH+CSSeqeF1D+hexrPtfNbN6URRJanjPLiM+EP++HF06OY +/n1V993mNWyoP2z34GIk83xN1HvROFFArKSGXKti+tCtRlc+Fx7Ig+kvy77m +z+ETdEG7qRNCH9TkVntvpA8baia0npk9LAe8BzT/PljJJ6z4w5cS7zTBtFuN +B46+yoVrvrLt2/g8gn4GPQ06Gp2TFksuMf2885MNs3VlcmFmksHMXeE8Qmh/ +ZEz7I3SR6Pru0z4IfR+6NRva76Bfw77mOe1r0G317V/QK6HbGdGnT0HHcoa6 +FvQs6FjQtaBnifk0fb1HVQBcbDdf/DHmE6gUsH7t4LeQ0O+VLU/tA2DN4Y6X +669VwpQJriErbrUQpcU+UUeGBMHi8tjhN/2rIUd3l9jUCS1kV5pcpcTDQCiJ +9Blssb0W8l3ThlTFiAi6X3TA6H9/u8cbV8Y2wKxnpc+22UTBn6LAuAl+zSS0 +R1Krkt8IegvVOl3HJ4KJoHrTsmgBKdI66BHew4ZTrGNaO41SwajTR2tPFp8M +2Xr48OxerxWnn/79fiZ8fFasHFPOHIexv4vYzD5XpP72lfbqHJj7w0NV4QuX +rOFxe7pcuZCs71Rc8DQXxNTVB6aM5pLxJTdrx2RHwTnjzcvyNGqASIk5XmGL +SOePk8Pv74uC9neml5zaa2GbUqnFzosici5T4veD1kh4OsDB6+r1Ohgg11S9 +aZyIFB0OFz5zjIQJWQcbvgxmwfyeC6s7nwrJFl5Hed0WNrza+zpq49cE4Ive +Pnl/QkDE6x33nWbu39iJZS4rVr6CpFbJ+baX+USp7GyoPeFA1u7rRYpfAaTD +7eZd9+YR91a1WdpjuWAz7PqVTv9s8JaaxQ1J4JJQztKI1YVcyHnx6nuJeC6U +TZ/+e3gFhyjOKzKTSH0B8+/8vLDYrB4KN+eXemULSVfFj1tjzF6AVpGEQpw5 +C9LNttwv0hOSisYcuXUTXsCyhgelS2c1gMK6gj1BvGaCDhBdIHrA+eH3plxy +58BM/0H2Uz9kgKuO/ekrejxy+E3uGvE9XDgKh9VmiWWDVeHWkoYLXHLxvt7g +L8N48P30TW9y8jXkjkydqsz0U4/Zut1atq9gYPi5NulrDRD+4o+S171m4vSo +Sypc4hXUdmzX+6PYCKNah13qmdlM0j14g2TUebCBn5IiXZYDW1RYt4kp05cN +HH7gYQCAoqHlLavJbFhVkZcGvR6cuqPaPh6qhrqjm9QhPaD+CHNSMDcF81K2 +lsZqrRjJBoDOwu9/PYGfsleo9UJArlF/VUM9FjosdFbortBbvaZ5nZjf+V9u +5zLH5knrfSDJ4IZPmhsbSkTfivR0BeSno/FQ49mBoKyZMy1avRxKgr4v0FFs +Jeiy0Gmhz8K8S8y/xNxL9FHopdBJoYNCF4UeCvNDMU8Uc0TRO+2j/gndE3on +9E/ongZR7/Sa+id0Ty8jzSw2r8uEuKjX2w4v5cH045kFhmEcgvOCOD+4gM4N +HqVOCd0SeiVb6o4CqUNKo/4oYEFg7iiHRsjjKQrUlMPAMWXkuD9jmgn6Iknq +jdAZfae+CL0ROqMK6oXQD6EbcqLep7mP90Hng+4HvQ86H3Q/6H3Q86DvQdeD +/gc9EDognHfE+Uecx0C3g44H/Q76H/RA6IBwPhLnJXFOsr//DnoeSep40PWg +50Hfg64HXRA6IfRB6HzQ/aD30f9aMzH1MxfUz4A6h5UJVWqn3eV6OAQ9D/oe +dD3oedD3oOtBn4NeB50O+hz0Ouh00OGgy0GPg3nBmB+MucHoc0yo10GnY0/z +YTEvFnNi0eeg10Gngw4HXQ56HHQ46HLQ46DDQZeDHgfzGTGvEXMa0eeg10Gn +gzmDmDuIeYPodtDxoN/BvDzMz8PcPHQ76HjQ76DPQa+DTgd9DnoddDroM9Fr +otOcttz6doF8KXwLyHk0McEBNHZMPi6KaSXoMNFloseM8T69ouptAKx0TT/a +Pq8CdnpnLpL+0EIwbxfzdzF3l9A5TpzrxHlOnK/1ovO2OGdbQOcycU4T5zn7 +W8d53GV0DhfncnF9TZ/1ajqv+ZHOb+LcJs5Z4twlzlviPC7O5+JcLs5T4nwl +zlXinC7O7eK8Ls5H4nwlzlXiOs5R4vwkzvXinC/O9+JcL8754nwvzk3iHCXO +Tya1DrjT67JKLHjW8bH3wL0txKvXZ22hLotFnRb6rCXUZWWr/HNaDtRnnaAu +y5M6LfRZXgWhGkkWjXB6qb/kgcZL8CurdY7UnGZS1y55d+4iHlwYMsYpUS0D +uKcW3yl/xfTX0VeaF7RwQWaBdO27PWnwSv6b9GPmeXLuT82qu2858MhXr6KA +JEHR+PNjCwnvP7/T0MfvxO095et8vgnyf9p/POcYB6YW8YXDnPgk+xM/Smlf +I+xI14t2Mw9l+ok30V1KzSRzAC987PIGSDDP2xKkfB9UBq6utPvJHAfu0kLJ +ehZs9OXxmre5wIGjkh47FgsJzrHhXBvOs31aJ62X84YFYuIP7F/qe8OHYs31 +5Wv/t9455P9eP5s790HvfJiO4juXtZ4PYavbvNDeOTGc68I5L5zvqm+QPG/j +WQNhOhe/R1iZwxgdBfMBLBFZsFt75agTtXBskOGBfR434GLBEvIiUkSEddse +n8+rgw7bmWn5PY/BSCxMs32YiKjRvsmmz3ulnIepcYO9WbDstMTOwpPPYKXX +0pIJu4Qkm1ewdrtYI4Qa3Cw3HxgL+sPqt9ubNJOBe6Z6ydg2wqbStblDvONh +UZ2y6LF4M/H0dOZel24C3ePqR/SSk6G5TS5YL5lPTlB3o07djQx1N3ktsXxp +Kw58n+0l3jkzAybNMO/WtPjfvjauz76Gf9cN6fN33c2bVfdLBnBh+N4h/hlW +WTDo+x37yyu4RJ2uj6LrA+m624hxXV++ceHQrIoFZYuz4BdUDRjVwCG6S7/H +r7nKg0dpKUOsNubAao/XTYoKzH6XaJOgG8kDE329oPyPOXCF9Oi2dzSRR5mO +t/XZPOj8fCfJSC0HeFMGrXiU3kQaWSdHLMnggVnn4O7uuGy4YWN7SbOtibDp ++mm67kLX0dEo9nE0mINcQnORMQ/ZiTqcHupy0OPsoN4G/Q26m4vd3w1cQnzA +6kHi9U/T2KBUdckh8KmAfAl9z0909oEtS2Tafmxkw3odfnuxq4CcSbHl1nSH +QfHNylcjG9gwdXhkvdRQARl4dU+WsN4H3k4J4DzKaISqrRFvVEQCwv3CP1WR +6gNj7Ovc7/9shOL6aY+/ZgmI8qp1HYk1PmBi2SZhX9oIjR6xe959FpA5Ec36 +wZ8qwFBXNEtN6Smo1Q+49SOihVToj4rIYPaJ18YvDNJHPwYTPxnOrZoWkrDm +8dATf8rB6uejugTwAX1XFVVdiVYyMM33+dzKKsiaIUHOfQ8Fx5B56wxUW4jq ++qlWYdcrYfwa1WODGx6BzOy66fmuLSSrxTQnI7USuCuvynLVwuH0L0fnJJsW +0vU4JGMNlMN+ldN123RDYIx1qrfhuFZSInp6TmZWBZxP8wzd6BoO98vfSZQU +thBb6hweUfeQRb0Dugh0Eugj8Hl4oM/zMIE6YXTD6IX729d6fP75AfQE6Agk +vv7zA9nUE9RQR9Df/oW+F70vOt/+9h2cs8e5e5y3V6M+B70OOp0V1B+iR0SH +iF4X/S66XfS66HfR7XqOPyQ+cUEmjJ62vvvFdh78Gl22Wu4Op991dLxrqes9 +Tj0vulx0uuhz0eWi0/3P59J5YpyXR2+LnhZ9Lbpa9DPoadDRoJ9BT4OOZu5+ +D2FIEQ/OSDrI+tpkwf4tgpD3zHMAfTJ6ZXTKSU+0Lyozz5lx1z9We1RmQcHi +4P2/PzSR5FSRoDuHCxv8tILHymRAUNNTta/zuf+tr++z3nT1cuP4di5Msfo6 +1MMEYFbbWBeZ7xwygzrnOdQ9o3c2pw7HmbqcNupxvu3ape5yMQ3ulu4StCpx +ofbQHtXthVyCTgbdDHqZfbR+tqb1M7rpaa/mnB+awoJ8XspO6dHB8D2YteK4 +mpCgf0YPjQ56a+1OrbtOLHhs+6WiVjsINCd+DBpoKiTon9FDo4NWo/Pf6Glw +Dhz9M3podNA21Mnss/7nZsyol5FeVD73Fjce5HXyDz2+zwZ1dXevOhUBQSeD +bga9DPoW9C7oXNDpodtDr9ffeUyijgVdy3rqWdCZoDtBb9JAXcoT6lSMqU/B +fse2T7+zYKmOy6iVLFgZHHHrQ7A3zHPYMEHjvpCgJ3lAHQm6kmS6Hk3X0ZWg +G0RHiH4Q3SA6QvSDEn3uL5zbR3+CHgUdCvoT9CjoUNCfoEdBh4L+BD0KOhR0 +JuhO0Jt8f//PpRyiTmUV9SnoT9CjoENBZ4LuBL2JHfWNftQ7WlPniJ4E3Ql6 +E1xHd4LepL+/z6AzQY/yn0OhjugXdUXoiT7sr83IMfWDgyM+vBnhzIIY9rPO +HOZ+wfVDdD2aruOcPToV9CnoT472+bsH+hP0KOhQ0J+gR0GHgm4HHQ/6nQBn +yYNly7LBVCFcK4HF9DG/8xYXlzQRf7p+uM/6fOpS0KkUU5+C/gQ9CjoUdCZh +1J2gN3GhzmSG0T93Uka9iQm9r13pfb2R3tfLPAoUx+lyQX11z4i1nHS4sFJe +KySIS5bSdVW6bkPXywy9XquM/wimjmVnkgwd4cWjJ9vXH2r9b92crifQdfQh +m6kLQSeC6xf7rGeKkQWRxXXQI/odJTvUAQZ/yNewHCkiz6hjKaKuBT1LbUJE +bu6JOij9VSr2aII51EXlGHnPZfoLur6h59/6Z7qOdcuuPnWLmsZsB+3TVXB6 +3LBmLzlXcN2T9HeEUQs5WTPO4YNmNZRmu5ffKnkAC49oF19UbCEmt0rFFsSz +YEFQufvLgWeBe3Tp1KuaQmL87o/U7kX14Ny2qkv5mwvIz+T9Hd3OPE/ouiZd +n0nX8bsd+B0P/H4HHs8TfY7z+GbliO+fq8DcQigan8L0rYL6X40bW0hH/m6Z +hHeVoNLxt6xzrAPUKNg93nqlhexfb/TjrXENWOWoqr69fgdKu2Ty2UIRmfiH +dfb2tWpI2lvaMeWJA2wOMytXnt5CJtH1j33W+7sfeQdC3tm8eQgTxP6Y79nH +Au+DHz4aXBES/E4PfrcHv9cz3ltFsmhIAKxUZL1+6lANYH145B/ZFiIu81e1 +KcAf/I/t2zvnWC2UFH2xcwoX9Xt/oX9DD4cOrk1pwqYtq9Ogc+Y1PYPlXDgm +vi/xQA6XSNLnM/qq9/T5nOdhu6l1fgJ8HbdArfAGG6zy66eeXyMg6HbQ8aDf +wedVWp/nFT5n0Peg65EXGA3t9Q9DDdysej3E7eNru3sdhPuxf/7BmXoIKeog +Lii/Uuz1Dz5P+eN6PUShgtLUXgfB9/rnH/Kph5CkDmKWhqZ4r3/Y2543utdD +WMm8e97rIK7WR31SYH2AsW9+L6w6ZANqWY2BpSmtZGlRRMVMHlNfStXJ7qnL +Am7p3u7ZxU3Ee9bd5GNiPBhb7mcs4QmwvDXENprpH48WFUXXX0qDwIR4u9cL +uDCh7D376FsuUY6aVaZpy4Ifr/Oag4SB0PXNzS7uhJBYFP9zI/nUkZhQP5Lr +o8t5xomHsdcc503yZMOyAtnt6UsE/31X0aXPdxWDhLcjrJjrtiLnZ0TVyAOg +7fVornyLiHyg3mmgzj//pEjd02lxibnnWFlw+Hl5tMlPHnxYLn5DMaWJqKh1 +fby7KhAqpT2j5HVZsDCm7dBmJyHxpE6pJemfW3KmXmlJ8/yl7nsbIK9mpVKI +/RWo9fcNP9nUTAw1w7/fncDss03rla80pMKRwJtHRGwu6ZqUIHMygQ06rPer ++UEJcPnGMeWPEwVk8AmrmF6ndHTK+RG9bqnMTFWs1yuZUmf1Z9o/dyVLvRX6 +JfRM6Ji4ZPLaXr90Zl53aa9n2movz+51TG+pyxqf+M9pqVCf9Xvho9Ze11T8 +Zk9ar3Pa9HZ4Xq9vytDv2a+3IRO2BMummy/mwc09LWKWURzCpf4q5OI/j3WA +Oixr6pTmr/nnlsKpV0qqiN6Y+7oekkrFZiycZgYRCiK/c2+YevXyTQnLqRwQ +N0kfuHpxCsyY//rWxU88oqHqedR0ax10nrh9N2XbIRjwTq6Zs1hEDtHvbF6g +39mcQb+zyX9QtvpBKAvelfTMvznJGLQqR215uou5ro4WJZWzPzH7d4iE4abz +MHeihe6gxhZiPg581z2thPJhWu/Lz9iDo1aJocSNFnLKa824um/M81zukmyD +9QkY8vj0uUXrW8jB5KlrM7ewQHl6m3Thl4cgd7yuK8NVSJxWff5w7e1D2G1S +N+HAThY0pUVvk7oqJGxO9zMp8UxwGPq42N2G6YuPZb/vzefH/t2O9u97aP8e +es/GMO1KKmyQle0OEHLhndOvJocxXBKxsKKzenga6Mdbp+W6csF3v86mDAsu +kV13w7Z7bgW4jNa3M13nCSLFJLdJZcz+EnbV+3lsNcSorTbKaokAzteb0fOG +t5C4YPXtFREvwc0zd+26nVyQGPvuSVsWl+i0Kh4/Ny4JWJKhT+zZHFh+ViW6 +R4FH9i29fD4usQYKGx6/sXcOg0fODku/FIvISpeFg3dW1cFSu4lVQdUJoJr+ +OGx/C/N7dwya7eMUBwXGEyZphHKAa832uGTNIy0dn/S8S+Ngw/m86tKFHNCp +iHQKaeCRLMlx86JmxsPAfdF/G2KZ/mPSDXd5bT7xuzj/+gmoBbPBpnH3NoXC +klriedBdRJJPhXWUFtdDSLfsI7HYeNA/9tMhMVJITqibzRaoN8Cw+cYFm+JT +YMjKAxbLMppJ/NPL+bHDwsBE9Fh5m6AJ3PmWST8W8InyjYbjz3aFQ6aZ5heB +FnN/OXCvcG0EhNP+YScr5zOo+dXuixj/BOqUZpoOYPZTg8q2Bjdjps9aut5Y +xy0OPl8L2eN/XEgaUix8d79g+vmhc+NrnJPhstTWx2DXTK7v3xeqymmEke/m +fPjcmgEW81wvfLwhIIa/3Lvcy1gwPLAw4c3ZWFDs2rtIaZaQHPqWkqwyvRHu +b2azrQ2TQNPIZcyW5cz+cuqleKA6G968D+OWpKfDtc4R5oabBcSpmZ3iqdkE +Y6sNdAPfZgG/IVHVTY9PrtB5KW86P4VzU8E0T/w1zRfHXPEFB++fyL/xHFYO +Lj1hnl8Br+JcPkSGtpAamlPtRXOq3WlOtXba2S7d8ZHwtfjGOXY6Uw8Pykj8 +tkJIwEXMederCFCR3m1mbtEA3/KrpgflNRNbJROri88SYe7TnAk63tXQWjpv +4txfInLFxGdWiUEiWK6RUdu1qRZyU2Q2VHiKyBk6D3SOzgfh9wV+JIdWNWcn +wMnTls92lDTAxV+jDt22aSY+yudsLp9NgLnuuoOIZSNUmg/bNXh4MznicaW7 +kdmXN79a+P3WWDbcXMHLH+4lIDl711iPUkwD3UOe7QeXfIa5mnHPvm4QkXb5 +1HqrzFSIjJ4bpZtdB7PLOGsyKpn+Wk7fLGt3KiRmfZl3QI4F/K/CgtOnhWQu +nR8Ko/NEmP/fuVLpxne/FNjtUzWZl98Ih4nHJcVEARkj5+/xVCkF+LMlr8mY +sMGl3LLKTl1A5q54VZwCyVB8aJpnZgsbXq47Jr27kk+8vDI1fWdmgVf809PJ +PvVQ2Cgn/+4y04cOebbbnJUJhwc61dy4zoJq9lifs+OFxOHlrluX/DOhuFEm +MmVFAzzc4x9WFNpMZvZck5LUz4SYg95RgawGiE6PPWfE1F076XwS5vdjbv/8 +4zKO36QAzOLXm7VHssGgovX2pjY+UTcY8FXjdga8GVurr7K8iXkex+485sz8 +f86T7XkpngFLP+4Dq5Qm8C3afMZOhk+yznoMuuuYDgH5SpLDlnPAcccdVkIU +jxgZWxmd+JMDv0io20IeCxb7PR+plNhMOO9mxZx6ngNNVt88Rt5vgM3vs2Tm +bGsmH6funSxumAMHIjese7+8EQ75zvp9p1ZAVCs7q5wkciBQ2dU3sbQR4qdp +CkrPCkjoGv/xc1Oy4bvYj4w/R9lwKH2nsbqYgGD+PubxYw7/k0VPvT7KZMOY +nuNQa9sEES5393+fz/TFz76t087PghbeZEvJriZovHRTKiaLR66L9tfE2GaB +WsDJafkWHJiZLrv9qT6PVBRcr562IAsCZUY/1W/iQPu0jcli7Vzi+LfYN6k+ +E0b8MOgcwTxvCxTL67/cZJ63AWExkVvy4Pa+SPF3Lo1wwfV6bNJFARkh8bgo +S5ALPY3rH7KnsWELxyl/11gBsbn6tGquWy6UbDXY6hXNhgtmhYoaoXxiWTpT +dtqiXAhu9p+ltKIJjgfHGTSt4ROJDoXa2tLXkDtbO7Y9uQkeV4zyPlT6/+YM +f6ZzWf7VQ1acn/oawjKbeEvCOdDh8nZl3SAesT6VkOb7OgcmZOjVbZrIhQW7 +NCcvDeCS5IXBqfKnc+BZ2LH70Y5cKDocmjh9FZcYNdqYzJbJgQcqPmeSOVzQ +757kkfaJQ+TnSUm9zM6G4c8V2GGbmPpza0SmnDWHNPeTx+vaTx4vn+bMvqC5 +s5g3O+6SWZz/tXgwFV83dN3iJtjVbV+3IZlPeqYf01SuDodbfmkfxFIaQXbH +IcmHXAE5YeS37/cAPzg83/zkuuENoGpnNWsFcx/h/IRPn5xVFs0nxbxSzCk9 +vO+JqcGIdPheNtgkMIYDz7tevqsmzPG8OMDN+mEmKD55dn7iKy5ceb7m9MFZ +XKIb+r7Y0yIbDKyPdNwL4oFgUYSK8QQOCU+rCfw42hd8lIPv9uYLHprz9mdv +ruAsq18NJwdwIXh4Zis/Ihn09f/e5gzlEfb5iek/ihrhSPB8kefzSHAe+rdh +zScBOb9c/6jdJRaEbx4yqV3rOcg65kR8NhSSZK3QmHNlbGiprdZum5cEGj3e +Bebf+MRxh/iBglguhAwaV11AMsFtxEivIUu4ZEE/OWPymT/9LVaFw4qgl/Yz +/NjQU76oNIvpRxbQvCrMr8LcqskD2ZY9d3zBIelUucHLBrDoXvJQL6SZnDEZ +7Osc4g+SVhoOvfl5Uw12DTRj+rWKn42hjopcuBU5/pZp+UtYrOY8ZjCPS7oT +apevO82Bw/dH2A+LiYNlx5YYTY3gkT/P5hy75NsE2n/329/WC4NwUhTSeZZP +VgR+7fAbVgMZXcdGdHsnwpYXgzWlG0REe9E9yaSSz7BD3XpLrHgaVKRuCtaZ +JCLyHpK7dJRYUFvAYreLZYGJn8vw1C1C8jdtUKmjXgPcWTTxnHJxDsxIOOxw +3Lz5v/ewj+l72Lf0Pax028Du1wM5MCDk5OsLHXFQpZtXIhjGJ6sU5eXf2NVC +kflO6TzdRNj416z7+A0ReZpp4lA2px7OTT7ltz8sFa4YRM2XTxeSIQp3qp+/ +ZcFzve3yZvmZcGeqpG28gOmDbil6buA1gBxL+znrWg48UR20om1sM9FbnMGN +5jVCx5FFg6JG5cFdW77xlFWC/+Y9GvvMe0SYDeTWhLPhm/Np+5Dx4TDeY9wg +c6afsuzn+z4GEnU9ZitZzPUmbei0NRVufOQsOWMiJNcmqo1JPdwAt5X3du1z +y4RBknKXim42E91LP90HnWuEuC1Xd+xdlwPiW//UzEkQkLZ8gyOiY2wY7DbM ++k5qLoQMiSy+VMMnEf18T6dtbvBQ384G0Jm69lfHjkz41W22evf8ZiI9MvZp +y89GUPCcNiL3ezbUzN8hv323gAjlbH8kNjL7/anV7plmuXCuxMVL5TKf5Pfz +nRrlXb9NFtqyYc+RQ+v1YrLhStyK2V6dfDLMdE/rKv0mGMxaH3hkYi78Uj0Z +c2IGv9/vueTZcu4/y2+CkjUSCY/evIZntfHzNXN5/9+/Q4rPcXyu4/O8v++T +ymft3OTEDYBVfmYpNec+QeyZPZJ+31pIxf7b96q8AkDxi+irw9hKps+aPOBb +cAuRqL7zZcfiIChp8v9b2FkFwc5Ft5+uYf79lU+7JpUFQuRU8Y0V52ugZMUF +y9451cLM6zEfH/jD35Hq52f71cLYMI99D/xFZOC72Q3B3mzIcn+pvn9YCswJ +S8rcPUVAqv3WPg+1awKjX9nXNLQyYL7XD3/P7XxiQeQWRatzwLa1ZdGWh1lQ +nb1r/fXLzO915vmn/OZA17KfxwxrciA4dJLpm0QuOXn1Ccf+fRTMrZ74caZ0 +DZz9HFg1sk1E1kVM/KJ8IQp+LCoJeHizFi7PE46e5sXcd2ecl3ydEgWHNQ/o +RH79DJD059vbVSIybOPhTCmIhEiNPGdDrXo4v2FD25UaIdFWCTRqORAJT6ya +E020WHBGuEI50F743/t9rT7v9/8ku21Z29wEMS5dB9dWpMO+pKO7p7TyyM9x +tezcKA7MXS3l/G5XFmhnThTEz+SRtGvdJov3c2GzldqTM+45kPQ+XH+YMZeM +3Xs8+0jeCzg/+6lSz6p6MDlfMDG7REjqFxqFDHN4AZMintc/3MiCjw38JCtz +IfljtlH768oXEOq22TmCzYLX2ScONI8WEnO7GWH67Qkw9KhftsalBlDmpnXa +RTeTGDo39ZDOTbXRuanrxhckjSW5cN116cW5Y7LA/Le9S1sBl+ys2rb55gsu +DLc/En9HLQcc3jkvuTSUS2zbrDe433gFqupnvFzNG8DovFCvOojZv7a3BC1S +eAX84bOXVYox+/jVjatvr2sml8TWvXtSkAKWqgVdA+82QsrmZKk2pq77KwxO +7RjOg+Fe1w0+/MiGEeHqRcvjOeTZprNB62MBHs1QmRk9jKmTrw3uST0hIPJH +h7oNWg3Qec1xqvxNNoTs2Wk5TkJANm1fv/mOfDZ4VR664nKiCVZbu8efWMkn +GxYMaXJ8nAqe+TnOKh+5cJA3YNq4eVwicXh7qD6z32yYs3TbFWb/iaya6S7O +7DvPy61M1BclgQG4pajnc+DPHzfjGRt5hPMRSApzPR1ZZFgfyVxf2Uc2W0gz +11VccNXH0avrQZSxp9uVOW8q73VnpzHny+JtZteP6DjokDORXcPsY2emNxnJ +MfuX2M7PVYbMPhGYMDIVmH3DCH4mtjL7haMhO8B+dTyo3S5ZqHq3CT5ujToe +eZxPbmrIPSlirle70vPTLWWjwFzickA2c92ecNGZE8pcB1+kPQ6sZa6L7AHF +604x14N+WNe1O8z5aJhX+yicOT9yt/KMypnzIucz3/EEs1/OXJ0hbsfsny4+ +J4N+Mvtmf/v+SLDZ3qgQDtfE9+yNiGKD5uYK3rzFArLxqsEU1XPhUBh5ZpOC +Ahvmj5s42OaBgFiPdNW6wNw/xoIlTpeZ++leptUAG+Y+2m/x5cxL5ro0e/lD +QX7VC5AKKjvQyFyfuqZnL7CY6+O6aIHaTuZ6OWRYNsyFuU6iT3RNjWfOt8jL +aMhO5vxvfbgjJpk574J+6sbn7ssN27/4wNz5buPmRDJ1yPbOR6u7BeT1PPmf +RTq+8Pq+VpX5tEZw1ajJGmrUTCqHP380Js4Xlq9Pm1x/qwEOLX3rbAjNhN9P +3r6Ov7/9qB0sKLw9YfHCU5EgWnH85307IUkZZcXaydxXlb+kp1sz99lVPYtv +55n7612SwpWhzPW9nnNxaBpzvVcHWmcJmetcId89dDZzvd6bfDJwLHP9lt+r +OzKauW6PeYlPc2Wu1zuzq7LvM9evxKtV882Y67bM733AKMfn8PeiabDikErY +mWw5xsq3hdTSPt27T5+eQZ2yB3XKW6hTLqxckDb9YSIERmyLi2Pqo/ZFE3NH +M3WRx8FLqgKmLln+2bq1mqlTao56Pzp843/9uFWf7yv153l9kzaGWxonwNc5 +C3IT/Brhefp6zVChgHQ5KDZ8ZOotG/nBE4qY+mvkln0XNZi6a0OqYfkNpu6R +PKtfJmLqoEc+cvsnM/WPz4vbqY+ZOqMkYairJVN3PLVUeHrc5H99d3ifvruj +Hyd7ZKzJYHNmv8l+fzDyGbP/KE+WidNh9h1DofdZuWfJkL3Td13A2Cb4G/M6 +6E0q00/x5A4OGJwFUvU6T/SZenDjoG03E5k6sKOje+Elpg676CIzMoWpy/zW +xr2IYOoxmXvKlqeYukfugoZULlMH+cl1Lc1l6p/K9W91BuhkgpWe7+8gpn7Z +JD4jfgdTt+jQ+iO/T9/dn0vl+9QGGjD7Ylmhj34Es09ynT4tvcfsj4lKbl66 +zL6ydtR9hQ3MPnPDVfbxBGZ/SZxwbsHRQ+kwY9L90i+7OeC1UD3Y7i6PFL9T +qFzN1K/uBhqrXJh6dtRW7tUjTB379T3PoZWpI6NuCTW3MXVlg77jpmamnuyY +wfIzZeo2ofzS7RJMHVfyYXqIHFO/pRd6JL9n6q3nu1bnfGPqL177m4HqTN21 +1dGvYz9TP22okMhVZuqp+mzWwvtMHdVf392fGx31pt5Ak9nvf+/PdY5l9v+J +bRO4zsy+766rO+0Ts1/eVolWLmD2z8jrUedjmH0z6bGM4SJmf+qZsX/fQWa/ ++jB2f5eI2aeiEhQVThRnwsAR5rPDT3JBQXe10y4LLkFfUUX7Si/aV2arSQTH +M3VzeWCFXzxTR6serF89kamf81z+ZHszderDEx1725i6lRdRuNOOqVfX3I5T +e8PUlxGynTYpTL0p9UbqwGKmzhwdNyPTjKkXS09uvbaWqR8LuuJWHmfqxhnv +97uEMHWhfjfpCGPqxD0RI95rMPXhqX6++3OsHx9aF+WSb8zUPYd+Sz5/xdRB +n2Zor81j6p+1Yy9oWDJ1g1xoZLsyU0eI8qY9EGfqB9M6p9QHzD7dFqbcdqt3 +39aQVLNn9uuiLSrjy5n99ZNO8bLvzH472zVUfBmzz96Y8CWFRGfDkWvj5QL2 +80B70fmqDcacfr/jg/35DXpc8Xj293dIr36+G7tJruOy1uhMeHRuwl2r0zzw +CVPc9fYUh+QpVm8dMTkNZh/VsGi6yIXRCTNm6l3m9ussjo4OnxQU2gjblu8e +5vUlHFaJHXF7/U1A1kq4yHwRhINhy2bfz08bwUzcZ61eB3Pd2l09Uz7GD96O +VRPO+saCx2emnZGcISQz6Ry7OJ1jV6Fz7Mbjx5dLR0fAtiVpos0uDRB8Kc/I +NLmZWBmFv/w8IwFe5sgdsZ7FhtMeE4YPviEgGtQVqFNnoEJ9QV93gOsy7gts +dr/hguNiuHvkTias9Sh5MUuGSy78mFdr6pEJ7wzyvn3K40LPu4eS8cz6sBsh +X22PZUNdtOvJexHMeSwXbL8vwSEJKtrve4+jhdIpZW3muJrnPx/SezwvfJEr +6T2OlaPz145ijqtrrXvqbuZ44ry+Iv3d+Hs146vjNjG/U0up6cII5ndnzYpZ +fpT5vQGeA26eZ37n5bfiX6qY323f0JnU+3t9+3xHo53Wk4pOLYtKIxohw6JI +VbnNBzbYl1ZaM/tyWc9bZTKuEib6qv4tZfqPpEWiA0VM3wGVapuHf+LC+2Vl +TdOiUmFjEHz9OZvb73cK5n9ZaTppARvaHw39Xu0aDk5xAR+U7gnIyp1+11nM +vj459PLgqcw+r5w04N5+Zn8PVwls6WDO95ZXv1hWsn6QcEv+tquckMR51dXN +YfqWu13Tez4wfYzgRfXf+0z/sqNlinlrKwuuDPt9ffXYSLj00Gad+yQhGWdb +PuV2YCPEcl7vO3YyAUw7ZsWcEwjIcTrfu5bO906i871jIvPHR5/mwmN4E2T8 +IRNUT0Rdmn6WSwq7GgZcMOSBqckks5/Mc/RO62KPNUYcsq9LfVsPc17TXWaa +6zPP0Q1nnUaOYc5vfznz/FkegXuVmf40rVHujocPHGXrWxd7C4jOZ/+tz+77 +wAJ+p/op5p//5tR+TWPWJTnxnsXnP8EfGzm9+i8B8Gl9gOkaph9klf55WDGl +BuxPxq+vboqCQMmu6qOtIuLQz3eQ26fuEL4YXgmtz6z23LvzHGLGWyba+LSQ +ndFLZ1gw9dbWSdnLgam/xDXq7/fWXXasrQr7Z9eAdVPFGf8Wf6g9F/uy+7vo +P8eE9RfWXbLWy1UmBVdBiK3yo/yNAeBSmO7qqd1C/g8QhR/H + "]], {}}, + Axes->True, + AxesLabel->{None, None, None}, + AxesOrigin->{Automatic, Automatic, Automatic}, + BoxRatios->{1, 1, 0.4}, + DisplayFunction->Identity, + FaceGrids->None, + FaceGridsStyle->Automatic, + ImageSize->{396.7317535162174, 256.99404687139975`}, + ImageSizeRaw->Automatic, + Method->{"DefaultBoundaryStyle" -> Directive[ + GrayLevel[0.3]], + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, "RotationControl" -> + "Globe"}, + PlotRange->{{0, 1}, {0, 1}, {0., 0.9985272876108342}}, + PlotRangePadding->{ + Scaled[0.02], + Scaled[0.02], + Scaled[0.02]}, + Ticks->{Automatic, Automatic, Automatic}, + ViewPoint->{-2.708837691384262, -1.5946085605884088`, 1.2527657004540436`}, + ViewVertical->{0.3190501234321922, 0.1878148918630024, + 0.9289416478619051}]], "Output", + GeneratedCell->False, + CellAutoOverwrite->False, + CellChangeTimes->{ + 3.885879659059586*^9, {3.886052158563867*^9, + 3.8860521586285133`*^9}},ImageCache->GraphicsData["CompressedBitmap", "\<\ +eJzsvXl4XFWWJxipUGjfl4jQHrIlW95lVkNWJiKTJE2yuSBJDEmC2IwAA2LJ +NE4WsVosBmEMFsY28irZxrbAQCqdS6myuhpP5bjbU67sdruX1AzTHnVPeVqd +7snWuKa739zfuefee96LF3LU1/XH/NH6vgg7brx4797f2c89997r736q5/5H +7n7qwXvvTn33ibt7ex6898nU1Y89oZqiX4tEYgsikejKVCRX/d+LRLJ664xE +/sf3aa134y2nQL3V09fRioj4o0tGQ394p748pd5G1GuC7kPfRKf4R134VEDX +5S5Tbyv4tcw2F3SrtzG+JV7T6nVSvfrVq8I86mBoB36kO4AbTpm2mO4A7tJn +xpCnOzAunjJqm6MFogORPP1zjCXlg+Dj0B7cQY2xTu63ufs4QbGGvhsR7Xj1 +nrdHBfInGNiAevXwvxMOZPw36evk/hk6mXtc3HUQDbrvy0Xfp82wY+H9082x +FaJ5MsJ8FdXfSTTxGjoPgj/UT5K3PO4A6hPNA65fSe5nihHg5qPi6pWuuxUR +xx/TBrMZ8OIuDQXuxl1Kibth8KWuS+ZqECY/fQDm/zM/VvJRgbuRpB7wLtHN +3aK53129XDSPzvzY2/UvOsQvTkas0A6K5h73WIlNt3tshWg245j5sbKjI+6x +cliD7rGSwB3u6pOi2dAhsm+mx/aIXwy4G0kuHHWPnQzcvyC9N8uyeuwa8Yt+ +d6Mu0TzuHjslmivc1VIozS9nfmyQCYVCNs1HzWOj+FSoLxgVFxhosn/SGvek +zn/4J/2DQCkVVXZQSsYZjPx9GCflrpaynB3jBO8fIiYDkVAx6XRXT4jm7MRE +KoXJSKhS6HWPlWYLOLFSkJoxK6VANiRIMXO3IPfzsyU7DLiru0Sz+eXM6ldy +IgahtX4sJZqnDBL62TGJ0oT5jq3FgPjO9HHmDiwP3C3kRsC/TDdLUqO7bPKS +Eb9Dkp3Jy0PPpTId49GwbZfMj7tj4NyR2MrAdxiG+R2eLnl+xD53Jq+qYFlg +EBP8037uJSmQSHRNRPzp3hRIKuIWoP0A/xyfhZuajQcV5miypzggn16urwNk +o4Hr0PlO36PCx85ONaAdjPid6mkeAEFbTdfl4lEreYBiYICnL8KSQ03hHvTd ++mlOJVpAaBA2EqCLPwm9hXv7/2d48z++/+/7/gVqjCUfeuih7vvvv39k1apV +J9UL/59JZJ6jxmiHurRPvY6rl2JOvOdOq/cJ9Zrm7+j6cDu0lhpzC7q7u1eo +K/HwSfXSNyrATYYeeOCBlaovFeqSPv48IW+8N/TGP3HdW6N+MYr7Remu0ePc +1okRcpCEz/2qPdXT03OS765vNBJ6+yf8/e5n0AQAGIrptzZWeb2qaQAXqD/A +fVIOYzj0OY/p53QwQUYYVf2c6El+dNd9990XKaZL83vUZYNqNBH+w/OP8uj0 +PfeEPmm1Bgyg9Bt65urH9DIwdIUOh6LozZB5TI5uK+BHDdhH7Q59VI8DbyUP +asoOKu+kIDoGglYMojzkwVH34DH+mX7ErtAH3+9ninEwgCCZZAy+M6DwzPC5 +B6bPehT+Hozaoe8M7cHdfr4ZZGbOwDecwOgL6cQK8zD8xdxdTSfwf3ri9tB+ +aCtEfNWTma+Wga+KMndiuer+mOlEnr8TY7ITQ6GduN39Ak8ybCfAGGW+x0OZ +8Xq5HyS93A/wPxETf/nurqPBfnwU2o9b9S+AeHcaPxIY4GggHqnMshMFrhMj +wU5sC+3E9/VdMulT3Bm8ie9r9KUgnGeoxJ1Ah44bihS6TgwypSpMJ7aGdmKF ++4VRx4I9JwPqOKGf2c396MrUjyJ3134eiu3HltB+XO/ACGpvozQJ+obMPQDL +TJgeFKf3AN/Tsz4M7cE17hddzJsBBT/KggpN3qyfuZL7QawS1g/mYUNgkiV6 +3ObQTlytOyFNc4Ax+83TZuk7r2DGlD3AzydND8oy9eCD0B582xEijCuBAWQB +37frS5ezyl4pRAPUnjI9KHc9mPD1YDC0B1c4QqR7CLnSWOCSDn1zkMxj3RHa +iYpMndgU2ok/cTCsMTovzJtYGPJ4fpRnHi0e35v2+PdDH7/Mj8GAXyyDVmOJ +I7uhTWgnKjN14r3QTlysO5GNK6L5NjrFCoc+Vem2FUw/6hXdd2Po05a6IUuX +JMB7PSzI14Q8sDrTA98NfeBi98B0p4T4bFDw2XX65rgxcKZPrJYhAFNGLdOt +N4Q+cIG+3PAUHCcpWvhs+OpKfWkqIv50biJqKYe/2kw9eCe0B3PdkEOckamA +tmdV0Mu/JlOhbW3Uhpb0KaRjcX/Hlls/bSC0Y226Yx2sXUJYzVqA7/AYIi4i +H718YR53DLcfMx1jV+24+Sn+Epk69nZox1IOsfNYBQz9u3Q1pZYoO1JRkuON +vVnd5Y03GuTGNz1Yjjt3ZeogB+t42qSvg2+FdrBJd3AGV8ZajO/p3iG5QDmP +zraYd3JXYtL7TT27L9Fp7/N6r2tR3lHRO9hOEnL81WXq3frQ3vH8YzY+jhaw +vH7+qbfyW4Xe1Od1nvebhiHvLxo0fLEV3mHVpDp59K0ay5TRkI7ykwHrSWOc +qEtvhnY07uicwQ8aYUMLXXw9gx7hmbGCvK95A6vLo5735w0KHJDb/GlPPW/c ++1z3G68VywrMhAwHUmMGS/w1ZOr6G6Fdr3YYB1ynfJ/gRHRoaMYQ0YDTnMFE +hJl1/J2aXD2IAm88ZQehOSE/6X1RaweB1/F3a9EFmgDlkYwabsNfo+sauvK0 +1civh46k3BFhOQewM7hgzJ6+MV2r7wAWpzzjsvl53sTeJI9pHO9+wkT7vC/s +eBRr4j3P67mmGMlxkywztpadPpMycMN5LXQ4nMjG5TOIJpG9IGQsxiGNaKVJ +QtH7/ZI8PZYebzxtLJOCNnYsE9sSXkVxTh9fCgWP3rT4x+LSH/2hY9GRhT9Z +EOIW4nbFIWNZzlBEWDFCYIaerszXY0l54zZna7TOSjmWXHqPeX23l5rpXjMO +1tDW63YDWRc6EBE5Z7D60rtk57mAx0LpBq3kSW5IjaaSUe/41jiPZcz78/og +Xca9z5Twf1aPF+jyWX0OD2hqXxLEAX0HGMJIaybKvBo6IJa7bFIcrCnsSPDH +5tQYeW/FnxRA7Rbo0az0xtNGM80jodHE6D3XG7i/HJQZu/HGGzEIDk5kzkv3 +9pXgGP6ro0cW+ZF4yAi0m+KUMV593aWFegSTih5Wl/EIurzPknYEeTyC6YN1 +Xioe9S677DKMYLYbgT+Z9nJwBH+nn38eN5lcMzZKA0ar4+9b+udI1Vo1PPZG +dZHufh+Mc4AAg5Kd8uk96g31VngXXnghIa29qZDs3EvBvv9nh34WTjfnsqwD +wdq1OESKuasTJMGBrgLpe29ZNn7VVVdF2l1Xx02ej3r2YrCr/8l1NYPgmpwN +LrlH98KnPLuXF3nTv6iPFGe2BtrCcX8Lub+/2vB1cAXpMNFff/bvhWB//6O+ +MpO3L10fzQi5dlIN2nHw8QolW+MNLIi9Iep+jQQ30FncJzLHQZaWJXw+2N8z +7uIVq1zWPUNsoEUvoAS3xIvR5WhmfjgudUchS96Xmy7xeu/+DnrRk95rXybt +uWCv/71DudfQIyxvpAM2p+aWX6LU3Gd1ZegvWCEd3WXe4Qbb1SJWdujq0MvX +wIODsFYEUE5LPz4b7O9pd3EW8cTD+mqfanv69tIK3es13m+CfmZ0wPs8c6/h +CijeoulVEQqm5SufCfb6K31xNmmpR/WlfnX2enWl7nIYT0xJnihinXx8ywXe +pudvoPbeG4qnGGzRa5PgtL3+abDXE443woKPMZZM4h193+6I9BtHktzroyHs +oQMR7nVxSK+n9lrT3uF6nZYOXRvs9b9yF4ekv4ITZI/z1RGfk1gM1VFfgt7n +4H+kP+qCQxjzDqvu6xcPId87tX2Rt37tzWZoXv9dZbaGMGQcYAnq9tPBcfwL +h/6M83FP6ZviAc41XFMBTVJPGjBXjyDMSYS6njYjyMF7UYZhwOYkK3OG8LP5 ++sfpGdE1wTH8zk+L80z66RlIZx61Tqyt0f0fD6FAN+kY7n8U70aN/37nAq9/ +zS3OY9QmHqTonHEMPwmO4a91r7LJ4vHcrGUkCsE/S9ZmZqFxkgIeQAzvxsh/ +tafDe/mplb4BgAids2KUn1ngBuDPRf44OIB/qq+cKfQwDopWAWRIxw0vDTxc +ntADSHrjtWEcZAdQYuigGGZyZI73/BO3I/Sgvo+9WI3eLJ+x708F+/5bx0BZ +RBvaWsRsRM4M5Hl/Vh+JZ+aiHu9Tx0WlPIYze2d7ax+7gz7lctvyC/KPm9/y +GNJzwU8Gx3BUX+kLMFiQJ6Ug6wjTmVjo0KnDyTx0v0r3PixoPSq10Ey9P/om +ZXy68auFmXr/RLD3/8hRID2+iEkRtkEFD8RndXtvLi7FQEr1QCrSsyN+Virj +Tv/xYIvX+/DdTj5Um3QeeCDpOevHgwP5c/2sbCZwOR/mi5K055Rml6sxqHw9 +qLGQYK9XCvhMg5rY6nyLRZkG1Rsc1K8cdbKYEM4LGZeWmYDlHk40kNAohvt1 +GsNpHzQwpL/7pNF7uOc++pTHbcLvMENCsmZylUy0PxYc0hHmnizmlotCxsMq +zG/Qby5u0uMJycqxo8rjqeC+q1v69bJqmxqxHglPfoRMHDwaHM/P9JXZpHBL +Q8bDNgW9luadxzMUwnIDYeMBbUAjSZ+B+8ptzWJgPC4v/UhwPIcdy2Ux4y2m +0eyQtKsTsPMf1jbrIXV5vwwJg4WOM0OCBEGS5JCmD1ASgkqQlmQa0urgkEYd +iWacPK8JGYz2eYTNv7IQWpsHM4H3wGC6vNGkHUxlyGDyuW3kx5WgT1dgMP55 +g4eDg/nY0SeLefhEyJC0B6G9gGg06uXk5HjP3lmZ0kPq9X6dZkH7pUowQ4L9 +gR2SQwJ9ls3V0yOdDEfaVMhDwSHt5Q5lET6J3L+dZtReRZ7PLbjminbvuqs6 +vdMHm1r0uHwmicd1UvJd2LgKuG38VfJuVohxmemHFVZ7Pxgc1x7Hd+erFdAz +zAXOOZinnINPk94ZJdM3X7PEjIXVwrj3Z2k06vRGnVqo4n4rD82bHJ5Dnwqd +l3PS/DYwFjeV0hMcyw7HdllUHehZ+zQXQbmOv4bDcvpAE43otusXe2e/aMxB +c70eWn+6xsvVGu/TevMylIL//NXuDt/ojm+oNYkSnjK30yu9llIPBEf3kbty +xnIGXRMS8BJeq44FxrXqlkXe2c8b89Cs3VNlhdJduykxJlihT+uNf4fQ5vc7 +FtCnIm7rWe4mXXhk6TMtq4Ij+9BPt/NUSvDV3RHjLSg2nNiTyOfxndrV4nX9 +yVJv9e0LvXNHGorQXK7HNxmiCVd4o3V2fNX0HqWo89TQIvqUg3cjY/CQzETM +BZnGd39wfLpGJqvwbStDwb8yTFnEgzv2YUoOrgrNeXpwAyHEG5PE8w3uIz24 +Ym7ru81Oyshx+Sdj7guOa6OjWxaZ548YhQivZoAXMfpSVQkNLep9uanVu+zS +C7wn71wQqUVbVI+rU47LlzPgcdXwGDY9d4My4Rf4xjX9sUsZXOinlxvXvcFx +vePGlUVVyfZwfiwLjKvvgfl6XBEa2FHDi+wQ6wBwhiGVcNvgg+U2g8BDSp+i +uSc4JF14kFXdiq6BpbS7XTukWNCbHquD30MDGH93FmYqvI1PzTWDCrPJOrUQ +GNTQS9d4X75/iW9QoFNHI638ilzkBoVuuUHdHRzU645OWZTC6LJm0ovEf6wX +q3lIh1+fTUPa/PQcdPXXM6Sr7JBqMw4p15vY1uzdfU29STjwqNLnc7qDo9Jz +nlnV0YyEs55hs+EX2+2QqnRbiFXO7dUq0L4MoXa/8l3vN+9eRp8K6T3fO3ew +wTv8kgrs75xPtwZnL2iLkzN1sRviuKlnpxHdFRziS45wWWTQ9zqGtCuIem9S +Iv6r+kiCh6qGSH0ZenYOnKRfZ4gbj3rKX+FhIinxaV0lD3Zf/3e8X73zdR4m +3ouIhBho19eX0mC7b1zsHVk3m0A4+oatXRHj9s8n3SnG/c/pv/kglVmWD5JN +8qAQiJj6Y1jPTvHSZTOFBcws5udT/C+yZJjwT+GqV/kWWZQSsZPuqx0Z66/O +B67VAViPvD3byH5Y2iRF4QTDWoD3shBYcxlcwLr5iTnedd/uJFhv/u4S+nx6 +RxNfE/VWXEr5lQLHV+FTYHcIiHWmNyodOrPOyyyZE7wQ6za8xK8KwScWFHEP +kGvQ3OMFfV02EbVe40VrVJ2Q7k6UAOdytuvKlkOXEtZKt7LtGAvxV/q1StVQ +V+E9ly3eode/5Y29/U3rhIJLDzzf5t127WIrqn33zPdOvN/CHK78mS0JryD2 +NcrpXOKH2Tcv88M0mAuCu0OAi/uYPcGaOQ75ALuEI6+/K+yM+FeZmnWCQ/yI +CbqrvveQvLdJugRyAuwhSwcycogvjfgVSjUoUiwoslahBdSUCS/NrFMmhOpE +ipdE4PCbV3gHXrtSqYtZPl2J/ysVYvyT3utdemom/G8X+P+Nfrhc9glQKIXC +Szs7Io59baQxE9vr39FKU/k7qPWU/TpqljUSDZi+vnWemddvxYzdGuJKc0r3 +6qRHmgqqAyHyBSHg7gK9E0Mtmj7RafWeXhIitJAmBJRNk/f0qu94N9xwg1U2 +MGBn9jRoTRVjUkwNu8zapY4UaROrt6WRwregfJntj28l/4QjAFyKLvEqEITr +DvyEiMOLne08Pf9L3z3peppFuR3XGYEOlgYsDL6oXqmnFtAgGkKDiZFmHY1E +h/Bu/mxdixCGakEDqfBXXL/ce/mxa5TCb4SxVteoCGRlqZ2jFPAPBWeIVwr4 +T+jr5NpsqIqQNem4hEv5gkvJ2egOiWZQgWeTsyn8C1vwdUD/3J9cuKm4nZwW +BejPG7zuP13sXd21FAF5oQY0LO04SWB+Qi8w7Cd1xLXKITt3sD5Ev8+Dfldu +2zK4b9pAkH+dRBxE/qJYl5A2k31rOrpyibvYP6BXNPdHfCv+B/gltnSQOyUA +aZ3RzaoUkasWzZo+yqhlcF3mEroxQvfm5ZyQ+riJWvM0xJMhPKv1BkNcRu/K +0T1Q7x15NUR5vzoLAdwnQBUuP1x/a4oRCjxWYROmMyH9g3SkJcN2OaTlNh1I +v2sW8e0CgV8+6B6WxTQlL0QYYFTJLO4PUJY1wTzm2TOjjYQoo5qL5hyNal+o +JvjEMW4Jozqxtclbt6rDu/oK7VHffPUS78Bzbd6Z3Q1ILmlU32NU1adyvEcF +Ey+bG6NY43L9kPS581vScZXqWezdUyCa3ZYDaVvu6GxVVrWZFSGgct44qAgW +MqhgT5NlVADHqDna4R1Ji6UnJJ6FAs+hH7cTjgbPjY/ORbtWFsg2bl5KiQR8 +qua28VdcrjgjlN8XUP51OmZgc16sKB02XKIz+j7FjMHf41g0izrR6hA0OeD1 +C/66asWGv6wPQkoJzs8aoxrSSbwHIF3uHXKQ5gvBP/yiP8KFWoXgF4dAWsNt +y5fm2x2aBKQnfZDenA6p3Ihl0kEq3bCUgzS44chdzLQzpxZpajARgqdev54m +8vnA08j9qZ0iofpzFCP9itKN6Z7wkPdJvcUzxnh++VaKsASOwHP1DxaSYlU4 +o1SAsPvdliXehmdW+PA8PkABNtnhrzs8/aUCN6XjmYr45ZfxlBuo4JJih76x +V866kY8mmZpKRn7o2HeGdKeZ6CZuywHKeoolTQWUAeR2Nk6+xK4yX6q10/tF +A7sWSW9/7bQBNipkH7Juw2gl+9AFp7c3IlanK09tW+itf/pm+lTLbTLmYGCf +TgP2T7MGVm4h44CNyU3HjI9gPGCoWPkzKmi5zaGbRW0wl4QEFUE1MJ3FjPvl ++zajfBwBBf2kqEcIPeyON7y2zepPZHrWP9QBbKtngHBqT8LGCrzKNL2MZUU6 +hFnIOi7RxrlQ2i0Dej/zKfwsUoYcCoOidiMbbQOzKlv+UvcgqADqgGOzlnSD +4+A131rK8pF/dHoG9yjOKH21c64uH/ukzrYN3Ftm5/sZOVAbyLkSkxvTkZPs +NBUJNTwVkdCttvC4fA0S/rvMgHST47csaqWPum5IGU4Bp3qHU2rwaV1gyUvG +VhimovThDYsIs7N7G5IzQDS9P2nrB76hIUqvwrlBQHQiHYsCfslNiuyfltA8 +uV9YV8QlbpijwJRmt09WB+cv0eZauaBYtgOmuIZp3PtVmm/T95vXZ3mbH59D +uquBcTgzwvVj6lOC24Yedd41Y7OcCefKX65Pxya4T2O+66dUQrr4Ja9PNBt+ +oYV+HRaKbHPXx/TVQflaAEAqNSA9Ss8HAMmdoJS8e9XPgAn4pWuhrmf4psPE +XxJ0XTomwU0kGZNu0TxkMcldGbiaxSebeghd/JkmOxcAgxKNQVhSWYdlevzI +C4/WGan5w76U99Qjd9En03b0defRBlDosihcm46CHNe4QyGYJWAUZCwGLtGa +Kqvy9P9F38GKhgrHIRqXAoV8jcJYiI86ILgAPtVonaH7Hz9u1hV86pPxDGTa +PICCq235XhoKaXv7LXM9iMkxW8chZH/VEQtwtoXvTAKfcEzuSyoP8xf1fwJc +1IiUM2QFhL2hSbLeDEkV3otmgOTke7U2xX2Fg8Rf7nONgITzq3YRc0Rb3hT9 +VH+H/0uVQs4N71hhYCSnZrnjjxkL6LlI3b/+7UdY//aL+ksYiSPrZyNf1HnL +9zoNEjqAYSSa6Z3LBrktRzKMdPwYifTCp+VpSBQGs8LwS6AZ1vC/+Cx3P7b7 +0/HKS4PUFN2Ncr7R3oj4C+yUcZ4SfT2TliZI5cBqCWEV886NNXjrH+2A2R1X +sWBFZ2enEaiCrq6uo1d9c6n35fpUpCUEs1q854Z4el0OM39R1XcFZjwJlYqk +TyDhc4cZM3OL3J1TRfXUNiSx+Xts4HFKX2rFqWtxnjd1KFkDYOYzMKf3N3m3 +XbeY/LXhvnbKOJo9oLyh1PQDNy8kZ/jcx/WGn6gscL/+VM9tA/c4N45hSa/P +ulrA8s8YfGYbYhnhaJh0odneRApfKCwXuIeeb0HBv9TD88lW/72leQqWulpg +08bYQMDgqyF5cGpHyyRajVGELULARXPMP26fCRvpv13px6bHYvMdgQ2vsoEu +ha4F65gyT9NGrj3Njek2+3f+DVBk1u9f66t9ojP+ZnUJoCA2aSYo8qX8eH2r +5ntnDzfimwHvlw0mRB43hmn9gx0Ey5ldDZEmxgDW+Q97U/SpgdtGnnS+m9kb +Ja126iqBC73xIpmZ0m/HOaMxoUdnvTfN/4kqO7okjS7XJwSHX5sd1Qo2JOkW +mzam5uxIAyUt++6eZwdJRZjDs32DlM7YtzIN8tvBQYrlh+mJsfygAsS1Zhot +8m90R5OGu0uL87ympibFzLPgITKLV/HI1WiJxTH3MDHczCMf934ZHHm+9L7o +hTQtADv1QXOkMQQB0yYdMYGAv5TsW0EE9FLtrFZGsB43e3nQJ73gLh+MTVFz +KqHsZX+Nt/EJPacONBosH5QIK4E5XnD5uofm4TMczV+GO+X50hWjl1KS3m3f +W4zAzg6f6j13zKVPhlGkV5YRkiuDkLQ4pshiXQXvPjHKCoA+ac1XaAVi+UX5 +EAjg4J37Wb0PnRaLTh7zyoltLaQKwS8qtNXNVP8UAMbvkOXwoE+810LAjr/W +aqUjDBz2z9Y4wQipZ+sKgqMXzWa1QqMkBBmtcnOt1NAis54yRfwjiDXOfeED +Z7bFRn2nrKaO5pUIKUWSl1GEoj3SO8vl4T55+wLvum91QqFYi4H0EtJM0ouT +zlpGWK4IwsJb+2RTlsIOyBi76PRJ11zT/txTRoyUfcgLg+XNWXMBSynDAgux ++raFBI2yHFE0xzLKUvS4DGsMNqeHGonbNj8+Z0ZspnY7p0wbjJC6um8Gsal1 +8pTFohHe+Wyck1P0iT1Pt71RV6E3dTBREA4PMRNhlM8YndgqJOq91gJqJh1s +pco3JemDR4HJ7IRECZ6h4IrUMSTInv/uwyX0yTi10kkTMGFIDqZvBGGqciw0 +40KUeAhAv3NiNS7EqjgcoHw0dwAgDO4X9U60VijR2tcUKdQAjYGLAvyjZxcP +0UurnFz6rwoY99eTgK390Xxge6guznBQMe0HS30QwVx3NNAe+eyShZTx/UkQ +ojLHSVksb2GZBGjLzM5WfxMiaMc31ZSGA0X4zSKgcr0zBxusoG3+yRwEy3UM +VJigTTFIhE4+Y3TkFV2+e2ygBSAfqitnPLb0Xef9dtOF9Cnl/DaMevmMGH09 +iJGZX5k5P0Rx5x90f33L5Vi0MAEchgg1NzIiX76Xsn77sQ9aIFZ1UY3IlHoP +lgmt8A44RAoE16y6aSHMOVJK1Db04jXelxsvMSx2qM5wjXLw7Bpcs5VdWNXW +ZUFQCpxsnW+xDW+VkgqIUlUIHgdebqtGcy2LEky7cd7X3g3nvQEzl7+gqaNf +1A8BGfxxEmGU9AzjUchjPzXYTL8/8Gwb3Mg0PKok17DL143bXT0DHsuCeOS6 +i7NYsPNHfbVbs6eFpiYEkqGftifQXM4scnpfowh728o0Gl3eWEh9N6baGI1i +Hrny+onDzg43IE1Pbftevcr71dtfp0+zuK37ykKbABFApNWQXRoE4muOMWZc +2zMdIird39GiEhc4KMVgcKhHcxHjcLhfhrjNjMNkRuclgMOZnQ16iuzBjhlx +mPggbpfJfHcGHC4ROPwXPy+cZxHQOd1XcJRdTKLEw/N+Tpm/I+iFAAGuwxFS +CkZA+lbNY7+/gwREc0p0IASKcQlFCQ9x+GkdDk1saULGiNoOvfYtb2z9N+jT +bMM6t5bYlTUCirR6oIsFFHpwWeV8GDVXXNwR8yZ2YCOzn0MfWBzYWsDwEZP4 +XZFUpR79Mu+XiTCBsKMvFeoSaaLVP1ioR5/jHX7jijb+dnpf0ktW6FU3y2cY +80VizH9012Wxloh3HPNPKawoJvpXhgy7iYc9/HwbexiLvNN7UW5zpK5Ej/0k +3gOU7/UOOsqX8ei+fDNlA5saO/Z2oyQfcVkOMXZZXUPjvVCM/ay7Lov1Rp6+ +Gk9w+c9Xqmow9tKQsdfz2M9+2iA99BI05+ux90JsAmM/Kbm+nEeH4g04V4r+ +qCWiNgg/lAA+SQ5YNkeXaunphpD6ogsEBFP6omzWJ9H1upI14DNcoRThgQQG +/HO4RISEEn6LRDKM+TemyJmIaSR84a2diPo4aZGoMCpui04Gbu6dE4qE4Yej +r7l0iEDCXxa0VCDxt44ZsljUJM1oKiLW5w88UNYKHGKMg+F84KAVQ8xaTCER +kWq+XqExZnQhOwoD0lGo5PFtfERbXGUatFMACVFOApwFfJrDbSsucTkQgYO/ +ZEKedfLv9KCyWQZF13Om1qcJT26pnUsmgWIxi4Hi/mpmBTVkb9X3dWWz+lrb +UOUihtXfHUofPfQg0oIINmYaPQyiSXLoObKQmpslYvT/1nFBFrPMwrmM+XRi +z7VF3vThZGQ+oaAc/zdmGQQilQyBcqedT7C9mSGYVO/pBfYQBKjEg3UoqD1Y +Z+zB4RdmE4QIKAw2v33/QoonHA65JDVXXVhlLCJDkV47s1hA8b9pKIKpHnaP +IB92r1q6ng8ucDUIxaQfFzEE42+3asOvfJhctBUJaVCNOud9/zzoy0hCg2Fd +ZgHGAANBYFTTuz+MyJUAHR9c6m169gbhGuQTGHAjkELEQy+5aIkXrymnNUa8 +VXl3Wm3MIoHM7/VFIeFEnsz2mPNYcJ1AyK88kSyf2B5HoDNWF8TqyR8tQKT0 +87rcEA06PtDKHpfPn7bxp4CphmE68a7ODR54pg0K9aAPoYN1GrpGdj2BKfjr +ydsWuFKjH82nIBbfDT7gFsQybOn1MgsFbP/SyVYWiaCwNRN6WkrfBhIitW4h +AJzHACrrokvQFIBFrIkCPkhdZnlb6X1cb7GLM06IRa7+popF9pDTSm2ntnCN +mrkun4Nbgx3wMtgBR8YuKsx1Z6ve1Ot6B6G/rGaBgPCk47wZk0RsOUzxPs1e +CGVFxSYulnu/phzgtTNQAjzv3OfIS1Pz6ZFGb/VK7cdsfHwuyTDL6WCID6e9 +9wCINpDp6QgFkWAHfvvqvSMvzyL8TAErlXGpNnWPfP7p2HNVNkXC+KWX4MwX ++P2NY8Eslu3wEoiBNBR5ZZBf5X9PqfxPk5C1MSSNfFACNwVlLjfDHNjMyWAL +cajOMKhQ4GcZQgGGMsljt4HQh01wkant99vme/0/voU+JQSU4/2tBKWpiKOS +1afavdMfNRbzT5cvdfubBaB0dTzzBJRcV5PNQh3e28jOndl7iAVbzmS8XNUA +CJsJq6IghGilf9c/IjItnzSU4wtK2OVoHTAZ4lv3SqVogARAFFPdstAC+dX2 +ud7LT64UylMDiRgkCKTyRAGk+enxt1z99A1+IF21R4cA8p/oi7JZk8MLHXxT +cHqSXo8S0m2z5BSSKsuSApoNBEq+D03FebRch3JZL7VBSNnSaD6NrvF+nmZ+ +JySEdTxmG5r1tyJUpbbJne3e84/fTp+q6D3fO7WpmeCDHpXwgYer+Hc9VxfZ +CRiBn79aZq7A76+cTGcxFc+rG3yzUiKyIbNCZaxsVuYAvSThESP00G9rRkYa +EdkDq1RITsvntzXw+GAGaCJK2ZESoxZ3c3nhwTpWi/nABGqSrrVLTFbPJaxq +Dcbb3IQMl8SlVxbNEVjpsuOsFtXwsgXfPJXImQXSge/XLAJQlQRGHgTS2goh +vFqmlWlIF81BaS4MVkqs9MSUCvbCsCoRWAGbIFaK3yyPDtztZmUEVid9WLUL +rP7C8VUWq2Z4e3LftMx/c1I5ZKSSsoYqWL4QcBWzuwJJRDijXoocistUm4AN +aRRc1xOCm8/Pa+SxQqaMbTAK/o/7mr3eh+6mT4Uz4AaeA27mXtN7XVmNLq0P +KTlqE7iNa9yyWRrDh0Igy3DcgMYppqBNUCrpZ3WXALRcFsYQIxDJCbe7jRq/ +Cm80FZDR3BXeAaX3DiT5VWeGDW0PWJS4hkKYJyAE3L6VDApC5WpD89LvRh6n +mZyuEAhdZdJsAeEvHetlseKFDj3IwQWMnSvshAkYihcBu4uAHbtxNiX/fFtM +IIa+M2L1GrHREI4b8w4atJJIWPB7umGFswZIlHWAE05tf/dxg94rkj6FQ0gr +v5S3DWsyW3Bh1wI9/cNF8en1PbMEhD93EGaxrIV3/T/JKS/6xGcTpCJiJqj/ +7tIqgLmIwTzwonbCYAwmdjZFHX/mklALROs0osslor65D0a0GO8FANRYUuWY +6NrAffWMY6EunFR4Azt4ckHsFPaRufz7o/1umigjdq0Cuy/0RdmsY+Ej5Ca4 +mT5xGt1nII6+XZ0EcGROlfCeHXUGAsH/Ob2nPYF6bJMPuITz54KBWg+xHQOX +tMAh8bOZawafasd9Dxg+w1lzP7y2Mw2rBYzVyq+7mSSBlb9kKCWw+tTxWRbL +WXjnYNiSXqPwwuaWKKX6cQKK/2d1rYzLiQ9baNEZpU/fTZWEwfVZfVzDNRgi +uUednktGWllyN67WtuLMDloKrJFS6A2vcRmSe++913u2W4VfL82Cf3cAXSK4 +JgZpwonqsG/KBFeLgOuQY60ZF7SIcMOZAtr/9ImKNoDSwKMfWtvu3LFheOFh +oJBgVmlkOr0vQjY2Q4TFyMxiZM7trVOeqq5oyKG2Qmo73DcrPSnyUiuZhj/u +bYLaP1Bn0it9PyixbgcjlF5P1CwQ2u8YKtsMpOYqp/aXtuVB7c8DTrVG7Q+7 +hKvCrDIEJyWT+Wgu0TiNhQZQHycsTrMZE+CB24KT0hIeCheFGePHlYu7NMJF +eG9ngZ0eUW5GrXYzbs6EU5PAiZckZ7MQRiTw8mzpGXY2XdBWSxI1saNpMcAq +Z1RsfK6+O/VRc3UALOCowKqiZr9Gn0nSwDvAAy5FDlBSbZAwtBnpC2JUg/dG +xoj9iOUCo/T6q0aB0W4nbedbJiMy4QU+zT3+WrV3Zn8DCRilmt9vWQqsClmT +K+my6du13fMBTMQwncKOMGTAKjRgk+o9qMl9AtgihG18XXrEDUbD/5WKQmkN +gYZQc3JHG31qxns1g7a80yU2MoLWIEDb7gQwi7U0Yv4koMK/qVT4/gQ4/wsq +D/i0nqSMNjbakLoIGOaGaHblUiTD4dPcGeqTDXgHnVw20buKtt9v8vq655EO +s9H2Y+3e6W0NVh7X98zVFRa7aasOanv5yVu9r4bm0qcFeM9jKI+vd6mN7zso +/RVJ9QLKbY7/ZlyGI2Zmc/2lBavKYgK/J+9YoLMVL7TlopkYETx4uB4pSWkI +kEoMA1EbCOU5fBESSh1wINYziBObG4nf/KHlHLRbgVXgEYgKbAsi0nC/3zaP +Pl3AbTK1kRG/OoHfZj8rGlvAEB4VbBgRxQxkCFxVwke1wCoZFThu7NWTh5uf +mlOA5gWEozYSNjZ4ro1irroAjoxvqcYxLKRaSUYCqQ/9SggowX9y0wzwn+JT +8tEA0YFn9ITWiQ3NFt71a27yTn24wAfl1A44Hl+jzMctDqW00qeEQFOfVpwh +MI0Zi2EOCnc7AjOq/qKHG4uKgSqC7ae0NlKgwjn6oq6N0ZTBwaltzUXSHBs0 +gbZCs1ijORIykTMukITYfkyazeA59GTA91fyrlQmMiPW5nRfvwivUDwv5LaB +u0vtZM5MeMYFnnob2qzWAvFkzjI+6tlFvboUhYoqaAEBFVW8VFlK2Ma8w1ww +CcE/hw2ZVGs5MG4SHGviiPWrOyrRXClcHoFxkcY4U/GZxTiG9zLGGKINTxgY +SoyVzcYMGmGneJW+U34QZtCoDTNqxzd1+jCeHkmg6JVme37gME6rzqoVGA+4 +67IoUTH7qzwgThUXJR9BA1WgDFSc8EwiA/COyZkQ1nloLgPWCcb6yOvOK1IW +jJpLw7EucJY+yM+9QjsAQvVeYN1q6T4at1p9V80IGmsGaxUNQfoibht7ttI6 +SjMhXSOQ1ofwZpUa5Xkh3/Hxop4kMDW5CikDQvjYe9rMY+ew03saSIGUAOFK +tmNnDzWQD0VT4ffNw2fk4X5WVxSAGWl79f98DfNAiEdwXMJcamAeUTA/r2C+ +Q3jpK7WXfnZXfQ0uM56B8kg5mTXXYj30wjUq8ryYPl3Mbcq/svvvCKz7GWvr +I1ULrF9z12WRWuWFJN2smN10lHa7AqUnm1GYSnBP7NBg4aXgLrdwFzNDn9gs +AuoNqdlozgsgTT8ebtTNobFjl1TQxQJpoAqkzQTmbdewr7+9oZ4ui3rDP+FJ +vA8atW43IG+4mG+k3hcx0ic31Nhillv9SPvK+6oE0rwv7QzruxAYUDKWJ5eM +/XMTqLooJBa0f970KBW/EtYKX9rikSKmbU1VFuuYcNGUgiYg4IrBRaMANScc +cO0aq0Aq3SIOSsALBODjr6Z8gNM0pzKQp7c2NDG4uExP9i2wgO9+6WrvNwPL +6FOLc1iiXu+1RbaGVADex1lCG39XCsBfdNdlsXqMZ6N6WZM4Z1hHqzIL/jVv +7MVKNdrPcbIeYX72YL236maOKN5JESmK2csDa4Me7MktFuZSgBzVIPfiywDI +U1J/xATIX76uQe66fGkQ5Fa6LI8uocSv+he32PfKVd6v3rr8UsYbvpspU9W7 +D4UUKVYITPV5m1ktOuNZK6gO4Ey7FoocSaD2ZlGeN7krjlnfz5OljCrcDJhA +2hJ4faoezSYGGX6WS0huVD7wnkYK7TJAq9k6tK5xhbcvbqHNpXcVrL3X5K1/ +YG5asAbN0M5EUEyrq0AVGRjTyDKjNR4ut9vsCFD99Y7lAlR9UGVWS9boei6i +TkWkbbu/NA7sCgR263r0suShp9sbrXJoJEZlJ02EHDGCzSgO9f8xoKZLCovH +hJzTS2HhbXw4EIupz8Cog3HANRTaPNauhnP4tSsMQNPDCa8zRVsU8ba+IYWQ +ZQKgNU6SsyhXop/wseMwSDp/EldB87vVTcAoKjDa/BQXxz7VXs/N8HSNc3Vi +c3PUCvNc5i/kYBio3r8cSOkSlEI9dcDYgF98U3mKnxRfRRYypwErwmbtt4DM +ZYzM0XWuVJaRSS+SLBXIPOVYZ8YqJLpY1xo66wG+6blGWY9DCWQQPyfmfbrd ++DyoWyHXH9oNckgzBIqn1OdIgUVFx1hRoDJ5382LaKMJDUneAAqF7HTc5RSW +w0dfwihAeoDSn974Pe/QuisvZxRWXJxvM/+MQnp9ZIlAodfxRxar0egnurDG +zYxQtPNi5RyCIQZ1oz3wW5UHjnV2qrU64DuSr/JOqtwikdJIDIbo8OP33rjQ +RisX8jjhgVxzzTVQIBEz9olNtbAwffiV3m3PVkC6sReLset9ZLNaZUbX6wn3 +mO94FYo/9sUhuZ/74g81+jN7cXSpUcoxEpr1q+e6JONBOteCIWjUEGRO7LOu +vZiH++KDXd7j910PTrAQ9N1SYvdBZgjSqxmLBAQPOSE435oyup73r/JZ9KHe +8gU8+hMfNLvYYHcDGfp8pr3SB/QdGfNn2xrswON64OMhtPeFWWbgcCtvvvlm +2Gs7cOhFZY0pnX6HG/iET4gLxcBXOb7PYvEY/eQmR36f8Z3YVkuHhCbnMQpq +5M6I7kaE9DkcCjVeYgGjJ7T9hb/xRbIIQFRpIMIcmePefgXE/iRecFf3J1tY +ERg0aPZre4MBZKTXrSRhQNKLCgsEIPc6TphxERldfItjA5flvL8URwhjLsSi +YGzixHYkLkg9oBkjZ+tKrXMsL5SwRlTGNriqeZm310HQifc8huD4+53ewNM3 +6GmuO+ZLnjCz7T/yQ+Cir3wBwV1+njjPIjL6yQ8cT6wxPLFsbox4ohJotDIa +ShfQsKH5lJQUcPOBF2a7OZqt2A/g8+Rci0aMrSYi6tUrF04rrsEGRFwXO3Ty +3SYLyCX0HiMsNj1zg3fkxVbjvSKc259c4reTPSGoOE2XJ1DR3JPVejK6nrfi +TEWEi9V/VynOysYcEA0bdgEakp3+GPMGQEIzWcsHOnBZhKSnw8oIjMj71ois +efWBeYxG13VdWrfAV7iU0Mjzfje42NuwdgWhtPr7Cyh4PTeMid/9yToGpLur +0J46lhGQmABkpWOTLBab0U9481cb45NLtaG6BZgkQzBRNjTKzUdeayUOufqK +TkBVZeHQqfA8SoWbmPTJOxZM/+3ehgpvtMKcDPUfhhpo2MidGlhObV5A+VPA +ApedZPGJ9svp66g3+aFLS9/J6KYV5OUKRESuNdslaJqraC80F47foByqgwmo +g8+QH/6cps8ULOAFPWMy234mI3qXMqIH6Byfz5OkRNTgAnYGrUPqxSt8jmLM +J97Ruc7hn7Rpucn3QYKX8TJPb2mIGFwGukvtLLjAZcKHS1TgwlPlM61Lm2SH +Syqg7ojwvJVntRh4lLEVwfg3PqY7B55gXJrxdYpNrT/Cw6bLyPF3qbtEzJ8m +X14H1Z7wmOFpw9U8M9RwMcPy1ba5NJNmLlHCY9SshWV6j8sI6xGE1NblCFhu +cOwSsmFRsNoE19qSJs9JaaBwXTnjU3vjSJ5+lixkfWKwMtWuim+0t27iFSR8 +hDHS0U10Eu/mj/diHSBPhFE4u6ueUFBe6cUMggAKKRlqkzrYgDX2U5fUzQjW +1wRYvCmirDXJtJLNJD34MncPVj+IjVwe5oVKnDmbvBiAaWWTT8YZvpuRHeOq +rH94LgqxPk+arKTPbm1rytXADciyf973aNKAZl6Hn5tlUbmIUTmzY5a39tE7 ++JN+h76mgrHhOoseT4MXCPTSi8B40GK9dBYlKLy5gjHy7jbanAWc/m8op38k +TsfFJy8AgICkT0/6AT9lynOE/ibV/EMKh+bLgODMvgZfdKi8Q2SpAGVYJfZy +b78S1n3JjDBdOAOcQs9bOwBpBjmQCZs3b55XVFSEeLA7BNn/JpDV28FkdUwY +Z709FnN3DzaivkBi8KGyaiC6gBE9vcu5A4oDY9wsQyyF6CKZuzHWkmZ33knl +aTBVaJGWfx0hIPULEruPsliKPycGde5FWQCD5x92t3hPrb6LPuVymzQQ+roi +H55mZgK2FwnyVVeXm2nzAL5UGfRfBb68v102BS+8SSbF5oy7vsetjm1tsEKO +6dZa1BgeTs5hNI/0C8QGUvkG5AGupFUgKxO7VMQwyGmAW0UYq2M8fz2CryyU +cY7RexRMqGcMBhvBoPvgnRKqfxxu0sXJAmlpc8jvRw43BGlIAlSuMl9GA08N +kSdDiyLvdqjbyr7/IlD/htMXWWTKKh2NvFWyuusHjrFdaHRfKQ7GTpK/h6zQ +x/Ve3716Cwn8qz6jdoCAP7ZRTK/taoiieVEgvOb0SaFGHd5eEPUeb1+dF0T9 +3J467+bvLPFWrViICbl9yXgI6rEQ47WQUYfdmwH1PP7p4P1ldhr+bsegltf/ +X4H65Q7HGbNwtX68XV0D+56uWlwzeRvwrmdMTwwK3AZQc0rNE0M8D6miVAV1 +HprnCtdB6Rw903PzQljGCCVzWD+Pel8ETV30qFQpeQz6sTf1alWFG+o+qA2D +EMRJ0+MdAbyfXOnqNGmm80Wa6SwUDphJCt8TgvffCbzFOXEZ1g6aGNfm+x7V +P0lFxJqivttKcHYzvHTi6HOjAbh2NWBCwqpxmw7ZhTOVXVgMjrYzPM+2Fbgc +c5i7qqziiEO4gNHsu2seua1nd9ZHloYjTG2nNjoLWIq2JMMMjX/gp7MzwVzq +d91WCJgruAaP9O45ATOXgWWzrpCuf1xf78+5v1PdCYzLBBdbrJ5pq+TmMyM6 +z4JgQF1SiuYGwcW+YGB3gw6osQTu8zSbuEYysIFXwaoT0HfNs/BSkfCeJh+j +b3yIDeKHDSgW3WeQhfGThScC2UpGlrPWBQJZX3Xj/yOQFQe6n2+hIV3/BF2f +B+61wQIqZq+9crF3bEMLDvBLLgXM+cKPM3gpDVHNzeBwM0+pdDShXytSXTaM +WNNeqhHu9T5PUxHj5AUzwoWMHEScMiGvpWDgMiIM/W0MYbNAGNYUboYP4Rda +Qbka/umE3ieTcuP3OoTH2Kpx+T5XjeYhwkU1/Ai/+pntX3XKI4tFimKWRRTj +IqTtq/TO7tN7HdAuui/NKgIZiNvT/b64oIBNGg2katBcEZ5H08Fy6Lylzx8p +Yr8PyJICVtZR/X8JowafD740PuVzG4Alu6iIVS+IAPbHz23hj7KRuFbdLsk/ +XXNjsZ2JDxCB7N5/1h3t119NMGR643PNRMtEmz20hTM98AHMwQNK9KkNHojd +NLxPX5dNbRD9Wp/H6Q+zu79V6E0N00YPnxJwB+voSDaakHuiHQf3JuczGY+s +c57lsXdbomiuFbREREQ78vW3JmXUDmkKZgGZoOMhSqtPKq1iw+/sxEPXG2oi +IjLUNMpNEB313vQNmEFRl9IhZiKSFSAo2sg/nd6dsAUA9znBkMWG/7ePoPKI +BEPQLtHmGYLGHEHN7vd6h/wc0JM3PreZKPwFjq89TykS3eBp/RMkIlxOoA85 +ASLs0E905I8dZxWRcdBmcjYRVlmVQ87YUwpuP01qHk5WCeqaHJXSh40uxeCf +IlY+rBZg5a9+lhY5wK+d8vYlCO/SgJVB5LB4BsJKBqgShB1/JVD4oYiPe54Y +aE6Z4OShcjt1koGw/+m/h7AxeQybPRxCJ8jyfMcK8/dmdiHL9aie44hAreQ3 +CrzJ7XE6uZZivLd1IE2ewY4GnEefbGLhPbHJZVEPPD+7XDoiIO/mJ3ny/0lN +Xo5qpNwiM1upyXveEKVUmDgTohjyUiX/1rk+kymdjTJBXhOd2OIpda/Nj7bD +95st5LZrvt5k/X5H3lFB3rPnJS9I1ideSTewmDwD0lbK5zp6yLOvafpdHMOb +xUJZ6saz+iduUVnsa97gg9grlyg7sc2V8Zza3ISDjVEPZqV3+KfCJ9zZgFno +w0kdFkUtaZUER+pFlkBEUJSKYTdnJEQnH2exJcjLApGQ0qGRRTPQFnSkRcsr +F1h9DieUaetWHSmXB64PeGAuX3f0FbdKVBBX1sz+ITNxdc2h75hEEJePuOgK +iKUonchicS494LkQqaSAdUstRIBod2ZPg/WMlAltRHMlS+XER402P6vMbQOa +C5hEh3mhMiUaR+viIjLzzZd8jOPe1Xd6CjI0zNJTrXuTeCF82ps0dIBsUe2y +irUWchtV4n+wQDhUUVKzxkvKl8HAj9t8YRZlD5SXpGi4gH+68vICW8IiSDiw +ypXi/sfzknBCtEFWefZHHrsDMV2t75DNGmG6+wuafhC740bsBu7FQZRU0W9d +Ihz5yTRqQXNxiOwhZjv1YRNipcPJXJF2s7nN0bqakASGonOlM6jRyRDxG5D0 +q6D3qHdmW4ON48rR1hRCP0Nn0IX299hZrxN05w81jLpGqKGcCSKOqLKQBb5T +memn82ppZx3yjk/BU8d63P2zWLdMD3hJ/8Tli+bEvJPv1eC826RRn4psWl7u +nA9yzkJzLEQElRPUwc0mX8rJj8oZ8iI1rGcV4QZMiMg+/JQkXCUT7vCzHB72 +p1BEuTdp4kHMbP9u02JBuGIIElEZBhIEg/GTBDNhCQhr0lF933erewXF+phi +MDr/4bwU6xJt445ia0Rzv5XoLJdOv6LvkYqYzQuUuPVeX4TDYRM4tQsxu8+T +gd5UnkwbNYeLm4lO1P9l8q88IGmcZEloWqW80TQlucIbjltaVdG7Ev7dIpDc +jdkeIiEqMo5v7KRPxfRe6E1sarSUsYtydIhBJhBXXSR8FrOuWPO8v9j4/zov +ebpF26AjjzzADne/25E/fdIsZlyRMc7Cupoyzgz48ldHX68qsZQyAaPyRqxn +oryUWcJhsVL10NyojCOVg+J+8hFq6o3Ri9lIwzozu2jbxc8oVvwsTTGOM70I +3GomDghBocLj7RFDsC3PXev9dsOF9KmA3vO9U+82kVjJmBC2UH3GXj97kd4n +ao085lY4h1HrzHmp1SvaBhy15JHYEAhdhJDV6nFeu5a+l97LGh+7ohyvnu8W +etP743TgN45z/oTIsMP5JUreUkw5n3xtbqLYYi5T7sywy4sde7clH81RFrRT +W5rcVPMzbXWaaGFxoK5+ZKLVMoFsHLiJVmBQ21DfNUoPX8yiiPcSEkilOL31 +q8QGQUo48RkOKe4rHNPFaChhOspF14KOtqD0b89Lxz7R1ufoKE8OBR25VDOb +CT9zWHbaLnQvOYF2ibbnK3AeaiKHSXjugHBNHke5wyeYI/nUkNfQSklguQv4 +c0mP2tKkN1L50pt5xkUSE/pIEdBxmnJzHPTZYs5hGDd6kQeSyGPCgUgm6pvH +hBPEpBeuGX9ZBe8/TA/elWTG+Fb4mhzUHfWRy7jtuD5hgPz1B0Po+H/+vejY +6+goD7dEPCmW12Sx6F4cujTtI+ULGjWZ0NOJtz1xLO35JAHsDyRBQh1sr+oA +aenQ9GStkEvQi+WSmlsEPU1NlbouzLVRLhA16zAiOhTiZU4wLYmecXpHkMfL +SJ+dBRdnb6Kdzd2+l6/yftb/dTJvQRpufqQdNGRN61zVdfd0oPSD2nqvoWXn +SUFEX2X7v/+HEsbvO2Gccbk/lzb49kqjx+k8q9tinTJrz1fMZsqNv84u/g8W +eGd211MreZ9l4ZJIAWCDoNxmnjxX/+ZkiOlP6S3TDie1Hxoa5HXRXBqTL8nk +67urQ5eAbavXIhpnEwjxA+l+supaKrw3pFNGEzq4hKl04GldBANqGvGb2uZW +SnG9eY+sy/9356VcFuYQtmuFX/wGMs9tQvxoGRFtOEaP0suz8nyh+fKled7E +ZuWvjybaiE653rEN8A+X0FTt6e31MWshC8PljhwcKrhQHoSJK+CxBIQNHuTh +ZLEmV9jc3CClUwLkOrtDzwgpsmHDjL2JmNCoiBuUpNl8yQ9vuc57ZfW3vdOb +G3QAyNeZ6lAjaUMPuvwn08u3iGDyvPSSXuVQJNTZRDMvJMmmspiXGE6uEjt0 +ZUyEDdyDs29HEy1MM0Unohlein4QtkSBdEoDEjcPzTUsWgeen21ddCrtUqKV +cPOFyqodTpvlm5KasY5pdfjZVg7jWjB7txdSP7GpQYkMJvj9BRVoU2TK8Q73 +X5GDaw29TrzNJ+s8PdvK1/Qul9B82NFrwtDr/zgvvYInmYfEblBqvPN+Nlsl +8PleI0xDRy+Rl3Z7vKoQXIkZMhWjiXom2tm9ddbdVCqTIolc9mOG17KMXU0y +tgT0KiN65VG0YOTKZlIOYXXNYdD7swzZ6OXesDKRIwm8MOE6kqhlurlwjvZT +sXQbejw4r82R9Y46Mnwg3jcr9P80oWyhgvBNjr7sfBMmnm+dxmndS70gl07A +7eKX0uCZCEqug2mbNgTlHNi4+A4aVBw1lG3x9vv6Jx0RmQa7pzQB+sWZfnBQ ++u7pML5mqZXFBtoDm0UtDxTtBP1oAklB69OfKkZHaG8L0fbXEx1RfpMudUPe +SNySsIHeVXD3vs2HICYYSVQLEsLv8CVHfjjPkDCPqf+rNy9Xrsu36VOl0Lo6 +k9ZBLkviAr+PUpGJmP/WR8yUJByd8szJS5mlBI3znMxMiq/IRPDpjllP6g66 +e/lSYMffrqYTEhOVgn7CwSzm5uG1s4XoIRhnXdrJORdFHpJBq08fpp0XfDkX +qm3b2aCdGhXzfZqhapBp2cS0hMRRzPd+A0LTESKjom9w6r3vzg7vSF8rJJZI +HguhZVVAKyu/lRICiTnCa6ko0qWDq/20pLKd/z2NloY2PlpKHTpqaUmJEum6 +dDkhzHYCl7dV8uWi+24tngMiGmk7/GKr9TUVQfOFQRRCWGyJuICJGBRCbSZd +lGDLuXY21GkiTimBDG6H1icF0hDx3K6k9jiuWwQvhIiIti/XtcDf9667col1 +LkFIFfOV8k8RDg49v5w+VZnb7U4ibMQtERvtTTQw/QbvK7NLycPo95Wmn05/ +0Fw7lCFl2HId/SgvYjQs7rfCMWlMEh0vqmnmMtJs9qogMm5xAmkDFCOQOLg0 +UchE+/KtFqrxwmZ7xvNMF8gq65C2hTs3+QE5NaVj8Gu0n6pczfTM2STTkWBv +ZvBPvN2k19E8NRvhhqUlhA+61BenP6ji9A2NFSG0rOY29bW9XQ3aQEukD62b +s6xdnwqlV+76VyXpk14i6zT+MjbASzuQhVIcQc5Blj1E8r1Mal1roSK7iPhb +5gQ0ix0x6AbbnICeNALa/6MSnI+ZMNSb2NpgXVNFvZxwAa1DM5nKFiYqvFJ8 +yRO8RWLuyThNx95t0VO+0WXSWIb5OykmAJJiNKv+AY5xd/Q8/Iymp29WXdlO +pXwN7X674QJvy7PX0qeawO3ObK1HifxIwhjVoy/TiRfdmUj5v+qussc6Imhm +AgFZJqG6Sm0A2fp1XOeazW4b9GuKTgPhH/ulnncosQxEi5AoUtBuE6FKKAMS +COlgEUyyrEEEoYKpoO2huSAT1o5YkuE7TqtSSFKt6TaB94AcjlJYEaAbaAS9 ++eSt87WTw4aRQotbXWgBRamEC/SN808xK7Hpp9f76IbbUZ3hD+chKKS27ivc +KkkmmW/d0oSPZF2SZDWOZDB7FD7mapIZEaTb6h3qst/LY4eTLxn64VDWxMVE +L50mM8gz+phDY2mqFtJkK9U2tMiZXEwBcg1Mngsz/FFfmM8yi96LKWVJuWWl +EkES+DC+CVRFHnx3djsdREFY/+79Rd6Gp1fQp1puwzU0ob6uBbEDtU0O1loX +5dEQmvzeRxNjYSg9FXfs3sV0gfpbwbTg8uW/z64hOzWXpgvQBzV0+GGik0li +xAVGh5Ihj8yhM5gTcy1dSkPkhpKcB+nwNEucjY/OMfkTSr8UaeKElX3q5LOP +OFpGIDdGr9kYQBOk0dilwQXe+p/cRJ+M3NiocFfS0mPwXrfu4VHHzHYN1b/R +Pfrn7qvzbzyyJ5zJcWxmYh4rpdND2loQgz+o1MvHSe8Ar7Ijz0/v0DOa6LAI +54dwvtI+OnkctYkqJKY04NExvAeU0XECVb/gfY2QSXtfB1bskecAVSiQ6xaR +YpH+Qxiw+LmejWuzwE7vjHudLXqBw2P60b7Faf9a9+qE49ps9zIZnoFrcYRY +YhZh7Nys6761xDvxHvbIp+Yv17e4ieeheko7zXGzZjGq5pEsfHYfLVcmlE1q +qe+eech9oG15SCzU5QE2RjkX73WsXCj4UX6V8ZkpKOXgB7wOu012RSmNFsby +95s7vP6nbqFPCW7DPYzdN5gffcnZ6ADmtKjkX+k+6gmy7PdQ2aev75L8PPhA +GY7+ROqHNEQIP8NhJcBPfdBINMBLOU+lFnA9+6EiHlFe+lYqkuPscC7mrlw4 +RMfrfUoVNMg+DKUkZw9ScpwxL8d7kfCHjr3RrCcURayCz0rZ57IU4DKjI5Qq +MRz/1ZY53stP3OpDX1rvMHMr0LcL1/QpdJFjTpWEmcyjPEvYbaJ/vS07pYds +KQ0luRW7LwAJqsPZvYCbQRnr+qxvqXJZ1hgl7AynI/FzVm+YzgqnJlCpgSuV +LGgvKDoQYk5BkilDAv2u0N+Z9MZfSpGWtpuMmejiHezYOUxK5D3O+jw4J0Jt +RrtMbpvtPd97O31Kcpsx0erfoGmlLRB6Q7j/lO7q/+Q0TvqEX35wQUT6Vpta +GmK+ImwlDZ53MIG1NocSJTOIRBETBep+7Z12VrdWZlGPvCp2j3irpdDSo4Lp +odwdl5LZ0aAroKKd3miaBe329jiRqAmhh29Gb3U76FHC9Bjq1fkE1YREALWd ++ahVL1IeTljPB94QRAHekCHFwJ1uU18mhW9127/QvfzHThTs/jUZEmGmADlt +j8gRJx426Fj5dVS+1YCNDiaIJrFwGSk1LufHInF2fweRijKjNSwoCO6MoIBu +EJSygO/jL+FVhCnMbIWPklvDhKkUhDnyfEjYpgijpKOciYDLTDYmA2F029Z6 +OyObg7ZLQ0zz4446dlGcPusx8hu/oJxnax2dqY6uEUePRoS5pokkKy8jj5fj +tLHEEtCGRQU6SopKBZNs/DWnfdR1DWguY1GBx6QtxxKISq2lSKFIpIjSJV1F +H13hjcaDoqIrVqT1YKg5kPaXMCvZgOGt5utOvOWSKo3c9sedjXqB7jAdUE1t +B9boskB1PcqfhxNVfsu9QpDEt5pO+5+RP9M9zmb2TW+aFlI8tNsJDEXjOI6i +srLS679vFh3vBhf1EIHLNYwkKxvhPh1KGKIo2bEmXRGFstAFIbJC7tNeOlft +E0qgJM1ilTNiGw+l0HRz9GSIrPRKj7WEZUWhT5SRofLqmxeYUDnBgEsvqWEG +woDQ8HaRkrzMOG1KRFdcZPfmE2RBWEtL8P6Z7ugvnKRksbsQr/9PP0txF/23 +oDtiNumryPE+XVvpDT+tfU7swnn6I4ztYGJ2JsnZT0X5xgpp84/0I5t/8o1z +hPjojBSJT6vNKUMlyhzHWymexSMi9eLOASL5wopCJhJMOkQFyPqCZ6Xkzg7V +SfBhQRT9LJH+bned93DPvfTJtClLZKXsMuM1bKixRv8JRyG7Pu93updjjkJZ +TJjxRgHpRzXq9IW/8K77ykJvaictrztI4cWbLVY0jr3djBMFE03hIoWDsxF1 +WJfgydt15mLox22tbJqQbbRpRRD4AB3u/QnNeCrnGfVhWPBFCY/nULCSjGoy +hRXALvN2OzLlB8iUNq2mydTMUCPbT2mR51stScDD5nYNITJnyDTwI7cN0xOO +FoZM+L+OBCOf647OtP+S8QlqnSDZs9OITNv1E3yVrWPPVsSYQkqGvFV/yutY ++1qb0ZyYQZ7ou+gMrkJTyHeQORX46CBonpigswmQx9t1jR8FM0F50hOjMoBk +QsEZ8K1ZZUIpIZrFYBtHW9HOKjjIEmRKEsrIHYKYS6gtj9ogZyDin357kVda +WgpOF8ud5Jq6v9Z9/sR9GzITFlrSf0QPNiUlqedqLUn5RCcF576kPXGHoN5H +RxodTFSGi1MzNx9+wc2gndmlPQZhs1jASmQYaqiGfxVNSMNxfX/SG6qd9vYo +SuyhM3X2QHBACRnF2ylMJRtzjP+1pd5E95YMtER8p3YRjKMAX5ximZdSKO9X +bUU+V9D46HgWnjFwb4PxFQRZ5Fo4fUJy5KD+NpttqIgmvwqKTS2JDQ46QhkH +yc6Rl1tt4lzJUTuai2aQnRR/Z7Qi/U5dh9aEEBtcT5VwStWp7+ETjyZmCzvF +ISrcNN6BuBe67NyOpPflqy3e+vv9of26uzsI0PkMskyrGAcZS8X/sF2rN+NI +wzwZ2VksIlOIHRzuoBeI6CjK1wlnQVJGLmTj2uR97ttsj1r7dSaB2RGnk/Eo +jbe5wXK4ItR8ECcqZIVcZS0rs7kZtABNyA0baI6huZIF5tg7zfZ2KnBKusxB +FO7C+C3LlwiVlZ/q7OycfFj5YL4pxB4K8iG3exIlrM3A3XDWKBm7M5k0egtr +glUgI+lhhAhBzHx2LmQAKwVQ2CwYR+kfUD79KYf6IIeb0Ef/VNOE45Rsdsgi +gvx5uLRUMC3O7U16fd26lmZ9z1wcboFcLik2GCA4c1axKUFpZ4Kc25+0fpdy +/GhmpJgF5exIHV1vksQQFHK9GzRVlnuHgimA3OW7Hp8tw/ulpMEUMBt1zhbp +lmK0lYZQwZh+GbfMEVIBCYD1MFJh0jrHXm/GTem6/pVupZKggFxbpg8iZ/83 ++0PjfjODSFQzGQ48o3tOvvM2zMAfQH6YdJmy/VYklH7Cwbr4zpJhc2+70WUl +Molw5JVW+g1+q/7fjuZaTYFJ8qCDeUkkYdiAXMjwm+yKIkMkwW1Ick1umU2f +avBeFBKdzBJCAI8McEt/AAoM5IL3Vca/n94R9zrq9W6PP04nAXSMzkrylOrf +axLpHzk5mDZyMP5iZZwJ8OUbPncYx6QmGlkOzmILDyEH6jOd4p5oDhh4Sv7u +R57FGhqbtlSKXskFlIMphIoOeJ+GzPQJM34RIw7rAfCg2Q0VkOr9avMc+tTC +bSbyUFSD2d6TyGEqmDA0mEtDVQx7ZSh7ISqMramwMb7ep8O/xOh/1v3d6qTg +/FNN/9iJwFEjAr3XFnnTI3E6lpZU/Dbn7g6vmY0DupBbPWjEg3KNyuQpEahB +cz2DD5Nti1eG6otDDIm6hOzLYoBfosHH9qRB8Hu83XErAhczqCfWc9LkydmR +OLdhluP3gx30KcVtMCEUTwzWw4/aA0+YXFTVfttyF7KsunGhMclFUqEtX5Jn +zXIY7r/VXf3AsX62u2zpQ+1tYR6xf0dDrnd0XRWc7APk3Ox1imTdfR34jPTS +gUR5JmOgvFwKGmsZ8IktDW76ZEtDQYgQkPAM10XouyWuWCWK2unxd1bPpY6y +Q3uUCUFQXsIgw38yINeatp/c5J16f4GPGJAYEzNoohVS2/iLyh7f7oSAKty1 +Q+yd/aiOCWftMU1or3HEsAsL/koTg6tVs96LS//MX92q5AAH7cRxhkzCCAMO +IaD9M65fBMGoQnOREAYTTijOxgngSHhZP8mE4dpWpEUgqpkmzRextUbdCSZY +kANTkIzCRDIJlncrmVJ8T6BcGgJtGAlauQ1QU7zwYgq6xVrzwz9tBQl8xpiN +vlVkfTcVW2McBr+eHIm8q7/KesOu3zpBcAVx7THv+JtVSAYxDaoDbiqbBLIU +UZaGE+822XSVkYZ5+K5EGOYnb5tv/KMoSwOExPzOxB5UBdTB1EAaGXkupbqm +hn86m4w0U2Pk0e8vsFMdyxgpBBUm21HDbSi6Ob6hkz7N4jYbMHxEMwKknUAN +IC+1k7XLg/Xmp9Pb47CWyMLy1j7+5VFHNTHedoopJHclV6jZYm9tzQN1prcU +V4IUOPcnUc6kOLu7TtqGuFBaOCDTRGSnNjVibusgklWHSOSFe4R/5Wf6wSCd +g2rm4vPIdcXEiZlAUfI0iGwwMw7mDc/tSGgvR6GmZMFSAmrFIFw9AyXOfMih +wt0dkSKhmkBJ2ApfqHD7PKua5vDvR8Uhx2Hk0No+8qbfPovq7ZiZtDIrPd1p +k//ECYhbQqEE5OQ71bDTTJWiGWyGEZ4TG1wWQ1GMHNoLQJoYS4LJFpvFFENP +tekovIndV6RHYMBpX5j1LVTHEzp9GOs2nivMLeWsVrdbsgBu1vKWLKgO/fIt +beBnc5uNHdY3ISojAQFZKL1x+7y0aFGptQX80+WL8+wJf0wR36om7f1wsVSG +9FNBcKIK18pZ3aDAuLrPH5akLGnywu1HBVMMcgRK0Z4RSp7UVwiADiRIapBX +2+9yHCLPQVFfXEwY+yz6SF2EqTPmfeJmrHh783HK5fJr6DGerR1opAZjLGAU +qAbt1RZrLMKoBIqw8CGfYY0KqBeM8EzeYzFfd/LNartR4doQMv2l7rau8s2H +UEwz/h47WXYfLA6Z0qd5hYVxRT9KgCY2VUOAP45HQaVouIUp42YEfGBZ2pKl +r5WM/wI2PCZBxXaFVF4OWtQAOWFFAjZHZkjs/CPM//qWXE2sHu9QcHqxQIcf +gmDntiedttueXIZG1KjdvEDPpn9EZXOE7+4XrvZ+86Z2E9rovchGJPDbwkwN +6K5MzQV8izXXF9tDhphEvlUuOojjLSFiyEkZEo0Z9cdLn9MneP/KyY4rd+su +WQSqwAELsTPFLDYITazvq8RHXabDljYRIa790Tw5/WUnWuA4I3UFAhwbaKbm ++aBO0QzyxCSaovlKf5zeK8iDhxA9lDx5l12iNN/DpPmo7fQmZ2gquW3fi9/2 +fvX65fSpBO/xgAUCoYyqE9lisnQX+x0CKmn4aQiV/kJSKW8lC0kfz38cZ4+Y +Z+IHmVBu5vdoJhl6v5q2NI7juLY47M9Igo50k/anQCRULMu/0ZJCc5NIqBj5 +OvJyq5lvQR4fxOP5FmqmyqVcIUbWi14P5xo0GpKz9HZJg6BRlN9J911Cus/S +6MBPZlHbsdeaUUmQRqMWei8kMTzyXLglMs44/X4e02hkdbn1EgI0onDkN5JG +5fJ8zQLOLJ5kg0RSBd0gki29/K9npetouHRhg+N4B9PryEspZ5S21lMrSV4O +yxn0oVn3aORsjssD+INQyqjsqeNpGE0+OIPkAPS2F7gaAe12+2YnTdlfDl1A +R9QGVGF0hbcrbmmYy+8BdXipaEZcz83laM7xDr/6zSam6cS7DUT/J38gNplT +F6NNfWflWAZNKbTVhfgYYfT8c0lPW05Bx3vq/VnsTmem4J2TNfjvGJtBX7Im +VP5qQM/ZRDllvj7Q5guydOytphwhljjCgKYXr1kMVxA22KQSArL5ZksxNysP +0BJWEbPY5TljPsedpiyV457L3ykyGrOH1yRaWblI3wNXZtSVoI9pc9Srp28L +6Fv1jbNe6kpFSZLIM5vr8/gmaKIIYFsdZsh2J/L8ngdFsnysqG9RyrhPYRrB +qghN8cSMxbPHt+LPbTagvRi3+SpVwd5f2gDCtRCFCohCRtMNPdmmKNTophyf +bMu1jgqRrSBDBsimQTkJZ/LXZ3bWl8lqghMbXSigaKin4aJrMKccEDl4H5Zc ++TOoTdMG0SnjtrH+P/EOvXwlfaoVahMi1fejDn8ls/oM4qnvEfjT7xUhrbm8 +jNukPxJGuD/zSZ2ZuZxyeYgiXw5I/XWwr3KS3fpJ/ky004aT6jZskeDyzjyS +vFkgoNaZeSxi7c5N1xq1yBJuiQnRlFIcftoVEyovE3aCaKb+7+Y6P8KO6a6+ +QMYBZq5TZ1apAi1IuH4iGunLOBMug66MUjOakMw2tIO5g9nDpyoWOlzHuaI0 +k3fizSbzU2NBVZNlj+mhuJcs10c26l0c7OoVmhjTk5R8WBQtsO03JixnQiuO +iF65QtnYAn0HzaIR8afTAvkrmF4nWebwL2qgyfjqJUoxeD7BnJRZsbuStyzx +jFVFK5c12nk7VFmN9JbNBxvUMBscfp5neBQ8oDC0rWKDCuvSziM2yKNo3Kad +lI0EW6hvKoWLahX52821snhBBhwHnp2l81sq0DsU4vSAAfQLBm1XPG8Gjavo +pecqHmuDFqE2RA+7+66mT+UBy6nMa6jlrBRsZSJDI77SCQrwAa1i0pUEvFlI +FKWf0yx2cpfzZX5y58pdEfoivk3SzfyeXqetnFvDPfjjcq2JVaIOiPf8NYfs +THNewB0qy/PpyISOm+f2fKfQmxqqpRNr4qXEC4XkUFnXqLuDPgcMdKTGMsYs +mcJhFxpK5NT7jREqpCgTXpWJiMb7U3WykOLssIh6eJ5Xz32FTfGqtl21lj9i +eI/NoOJpOoVVfAm3IRsw9NxyF72wbca1dnJR2GZliGsFCxp2M+yhfCq7JQmz +h1lURYfA/FJ3/zp6Lwgu+wVrwD8aYqnPcesO7ebpsZk4pmBcNONnyLD2M6Gn +3R2HIuJPr0KNGlUimCi/UwRaQ+wbIgwusJEVVzP58t8d9crr7Kugo0ziF4Cj +8tm9O/DTWaRZyE17HSduU3PAeUhYm9MoUn9G2SjeKpNzF2An+HfsCzS6jKCb +scNk3pFXWss0J5E758dTaR+haYroHeZG5GW3J0gBKZO1C8G21RC0FZzSJGEc +VRBwGmB4jNNAGUThNNQFuFTF2pZzj7/q9l3RuzL7l5TpMlx57neQP/ikRyLU +kPiOLFQGLcQbwPeJ5gnDinw76xPya4VgKMrJs/bhY5wLEMybNT5o6GD7ZPQn +8RSXrPoCv77vF5dYdkL49YGM6+Z6Z3dR+CWCeO35r71jHj5H6q2ekpl+U2OH +O6lIUaeaZfRnc9H3dzRLnzUw+1iuGatfMpbPAWXGKqF3zAXq2GDjA7SV1q54 +ClxlbJuK3Onuyg+Bh6Q5YEOnt2nt9SLqKIAusu4M7uarPBpobBJMSgG9ChSN +nupdXmS90ABD0TKVI5KhfDuajTrGAC/J3V9WOHki4nXxKxUJVVudrnmFaD7u +OMh3XhmX9dNehJzMNnEouOo420C7d8xnupMVkuEp5nyvGnTeFye/h84VVOzy +KO8LerUKLt9pxDcFrJyUniJZxVfKAjZbRqoQyskUkintVR9WNAjtpvipIXy+ +laYAWTmF1S73SeVUyjw0/MRs7aW+0QhPflccX4O261B7BQXyfj1pMmKfd5h9 +dlGCb5cxczCTtkZd/ab72kXGDWo1+uyVFps/kN5wqkan65537GMX/P3cxz4n +A0Q3PmqAq0rTeWEs4ttPSDIbuVDl+tlGq9CsE28qBR7pYc/M7/9wza51g+lU ++IfKGsATs4kncokHbPj6BE762k+zISZHAbeYknrPt7ZahijKoFkwJdLC3ylC +W/+Xyks+qkfeN20GmF1qhJIHEwVZesilxm4NJYiSN1+1GP9fyo4zccK5IacN +NHcUeafeW+Cte+Jm71h/s1JJyvG5KuD4PKscn6117XwLm5TYSrt47kpcGOIc +C7awWkUrdt6ZzbdrOliEd/wqEM3Tji2Cm6nz1dI4rXEc4Vu8WO04op9j6QFf +eviAviAVkeV08Ig/qoVo7Ys3sNVRVsZbd+9cR9ktVGq231gdeMnGIsHqtKXN +zwQmMWeHTNuc2tRYG1IHbmajy5yDE10ZYnB8PnG5MDhwvNbfNwdCTG3jL/A8 +/7MpJL52oaOkGMAiIPnau5Z5t912m1aMiiWgWFT7PGaDMx9wdqO7AyVkuxAB +GCfY7m7CbOBbA/kzHxt0CwpCUfN2flLWoTT0BqaZjkqQSmPUsYFvNk1HD7nS +5bBLjXlpqzm7hmK2uspcb2xtBerr9sVrWDEcUV6ciY+VN1vFxIdja4stkYdW +rXOEO4LTmaQ6aGe6n9nhKtS+fKMlR4bQUAdiXq6amqM2H4k/jhMHqciMSV7B +5D3wY53F+PLlZkvytbfN867+RqciXR3uZFlj6FF/NLzyuq97Tz14q3fq7Qb4 +sLviRvTNTU+80RQhPrAx9YCrNu5zNLcrK7/w0VxubCR2KJYyvtLSPGoiaDr2 +jS+VymPCEdw3R6cxyu3kdPRJzpkRwXXNc77Px+xaUuMtu7iTnAFvb5yO9ImX +MoWVqNMSeeNUQvQNU0wMiknX9U00o5RiayETocM/mR2z1qJVlEubsh7lPlBZ +Q7GYBDRlz5Qz+6her1TEnN3BkJ08dwX5QBuD1TctIGNwdityZmQp1H+JFRCC +HOtvgitKl/j1fgqs4n31Qbv38uO3woneBUmwhoQnKOBWUlv/ra7imbnAt5jz +cx8XyDhkpSOtPNAGzFEcTnG+OmgumBF8qz91VaZNipkpKGIEvRNMkW+TAXIT +N1Z753YnvOEfz7a7EZ3ejDLqvXFijDwmfiCmTXDzWd5SgcLSR9tw+mm8zqcR +hIOwlVKhH0Mc6eT2A/SKNAoWMZGIMgeFaI4JD9OUZCu3MqG5Iyyj2uXtqrHc +URUwDOu656IiktrAMSA9KGurHxRrqGtgNLSxUG3MFvRpPt5zmQ1Ovc2ZkUfb +SPWQy/hR3Ouoo/08ectw/4LSz3ysIQ8VW+GILa19n2MNubM57IbOXuROi2bc +IGz5ab2WH+MtTrK36HwDnSohK0WKQik5b/C+0lzSELneqXfdwpPDz7YWohnH +RVGMqtQClDt5BPfqGLXOeAsi6ACbnBmqAwuYRGyuN/5qizU0Sm9UWr3RIKaj +TXGAYpCikMICZNKgMpgpxryDaf7jKDHETnqB+3bGw+zHBQFboZxL5oxcnXhX +zibtFbsVq5zp0jNbUnpdvvq0hNugY0xkQtddwMwxrg+r7Q4wh13LetjHHPJI +si7HHMF9t0OY46hjDrkVYoVjDjtvib9GjRQMmcl+dfN0tmYO3g4xFZGrYq9A +GWQ1BriXKK2UCDYqJy64R3HBDn2qSnwus8m5PSL+/I6KPwf0MePxelYliED1 +rMpi5apjNwSTo435crRklrYSudNUiVyUIKq4MtQ2RN0MebTHO5C2ZUAnJTWY +a4rxXhhubRaxtUGzYiTiAFuNKKwMrBE4EdaGZ9MiM3ES7meimEq0dTAndX/D +bUWjOSltue0nPmaSGdPzM1Nw+/2ZmIkmUFv0BR38fF+eS9fdx8xWc3YNCZzO +ItYv4y+36OyDYoxjbzZhZ+14KzFOLhjFzYI+2obTzJAEIJ6Bu2JX+j7XWuWy +sNr8KJXiMhCvN2PVGeuXmpCQRP0/JgoqrFLjggoySHoOUAWkB9Pqi0a8nY5d +alnVnH6v3pK6DG2NRNsC4oXDa1vJWbWzdIqdVOwC82PYApdQfZ/STzFu+8O2 +Ju+p1XfSp05uA9tR/kJZLqTZ4klmlcn3aNccUvAv+lnFLFoc9bFKBqMU3Hh8 +ZqMkM2DCKJlJW/qkwctdwQzjS2vp9QH+Q916rir0pnfVIr1ITKP8FPJXiDEe +acNOwVAmVtv4QtgPacnpvnilsEzmAvyrPoNmlCpTPOJzaOHEKG6aHaJwTJ01 +7BGeIyOcwCwRkmeo6Khwrq8KaQ6FzuVPGzZKMBsdfrrVmqk51FYgzZTVNDTB +p9pOvdWQg8sKmD2grKjscGvSOjZ/HGrQ+2SoT0u5DZrKXEesVcBsNLSqzB5A +kIGNDvnYSO4Q2h05n2+TEs0Tho3oVF32dE2VL31qZZWSMfm1wekcXyXO8deq +6JgFY7Hg9hrfRLETnZgC34QUz/grYgJ37SwcnBkvE+4wRcL44Zb6apE5MdkR +kzmZH8I2uj6ywBcVDa+Z7cubKL6Ju0S9Mkbpvm6vtzNhNU6SWQWkRshzdgut +pt+JOU5jmKBcpGGC8iHDtIWOe6XfS+OUy21//IhZZSclW3bGZzG/KB8nLeMC +H7hrHs0QmhOQgsukD/pYRYZCPY5VgoETs4oMhaYioaHySadxzPQMBWZtjm9M +isw/z8dLMVZEZDHenSXYdzdu1I6yT25u+M0mHD8AP4XUjlIz/vD5Q8qJ7osX +BjKuHENXBqIrvJQdy0dzGN/kc1mCzL2KhAs5zbp8NjoeMv03wbzi4xdJ72ZW +LYofSOUEjRMcm/E+7DGXppUMqyDsMI9YgvecQCYf2RbDKsdfqTIpTckqZvU2 +/n/Axypyj3ZxZF7QveE0mnRYoGE4jdYlmscdq/jmYeboS0Nn7vQKEb8/vPIy +TDVUw8aPwAUhFaOcYLvZ1/pVc6By6JgRRNWkYpRacVH1a83kK+eG+zYmARsW +bpXguwUh/JLD/GIcX7zsRA2dNnogg++r86tMx3pBb+OM1AeskCzxM1ZIfRcX +WokMy5akDsACrLKU26CpONbCKsmd8WZmlTXXubk8wSpymfnHPlYJeibMKsFw +mVkl6PUwqwSPymRW8U3F6KIFOz1nyrSJVV5zbOs2EXi6AjsIIxFtDRF2hbYB +izJErfydVChE7Z1JOuOX3JT9cXJjTI6F3Zgi4eGYUjfEVErdRMhOzePCF8zw +BIrzKXDS04BLKIOrw/DoFFUzzuDuNoQYn1phfJTSmNH41AXcZSRqDJvQniof +6SdcwG0n3tC5FxW+Y33lzrj2apTtqTVTdi+nMwlC3P2SSchDkEcJkDfGM3fB +kx1L01li0HHK0YhfBTGn+KZo5vFDhd8y5PNb9OGqMbCuvR/c3qlttXR6CqVh +3/flYlrYLBkOIsvyZlOuS9FoNSO8lYJAxM1JWwrEZ4VUF4B7ED2ZQhYZMymP +pV7zyKB3YGZftlEYHM7JRqpYi6BtBoPTHGJwckLY40JuQw4Pt1HsBFtDbaOP +uWk7jbN/mbieHDGzudL5GHA8IQ1Nr+UJMgUyPZt0chLrEt/ZY5OZO3wzNwsc +d/RyfsafpHvB8azzatti3tGXKmn7ZqLbrgQtPTF5GJicBlYmOF7HVJMYc0QR ++LxAqM3eSQ6aoyEzA8xHCDT3I6D9OMhNinPymJHObHcrg8bXpWi9kF6sHerS +rpF2p4lJBy1h5vDKhN3Z/JDf7tC8vrY72vPN92dqtpDP46195A7vzIcp7BJh +bY4oHaG2K+e7vX7CuGWv5JaYtDWg/0o3otjT4jt7EpGmf0xaHbgSKXqQ4ylZ +U4BoyURDfavEYb+LNH7oFrTJpJzx0xOT/qJ25dDOYl1ilAbyLqc/qI+iuVaY +JeyMbxN2bzfSCT3xNuYW2CYTfysHJUeE3oHZAuyFuR83thwB59iu+dpaHzFl +KGZ6mZkoN8Sn0QUp0aN4N39h/q3RGXI2sDBgkqAnMpmkdro2T5okyT0X8+1x +G8ObFwmmQ7upnl+0aJFXUVFB04avOgralcd6j1tTLynDIVPdCAcChgf6h8Li +SLQ7Iv60HiqUJ+OYQAhPxbUDEf9RKnZVjONHu6aMIiK9+VOuLLy3fg0fGecv +uF+SRy4w9k6Jz5LWirfzP/xMK0VS5WyyFEfZEpPNj7RRJEXREii0x+/YIOoC +F9K+AewI5eLaeWCt8kDlJVyYIy+likOMGbgLRQuUJizL0gEmW6O87B3IHxHZ +oUuMzsgLMWK2Uo2NmLJY8+mymJxysKrokgCzggGXsF8Dbjq2Ts9dKm2nZyTy +pHn0XrzZbr8Yxl/Dkr/o0AkzCWjOaemTzMRKpiviqh5NXfZERBTp8nW+w3KX +agxDJyH1hhSByvxHyrCVVy22QIw3ZTJiVL+jvisQgRW+oOXYSgUpy6Zd5gZW +QkNPtNngGCymoqZIkS2HK2C+gAfssrw6lioTM1Oi1qEoRBPpNePRyRDneJQ4 +Zwe9YCZ3SFWheAQctYPM2DvpZmzVDQu9oUfa8F0RLpvNjCNt2bOPrvS+Gmy3 +jCOdqoWs5UxohqSe4UfaZBD1uHrS2zrZ09tqvY66KBXK6oXc/s0R9JkXZuUH +9IkpXZH12/g5OVh8JBAwGWJyG70FHwi6iOwgl/Yj93vSsNAFGkjjJU+kZff0 +3nuB0v5vKy95aw2yWMxMdayBMLcAnQDtcWoDTicwoZe2fybvov7fgeZaYqEo +Oc202PXypXahOLSQ+pauKJXVlUgZy7VFVGG5obGSmenYW012bksxUylvmQLu +6ZPTlT63mblnFr0XWp821GY9o2zWh0lE0TtI676j57vvuOMO76tN7ZeGxO9z +mUlg3ozSAgPJOSvOJMM60++P9rkJzDAm0VtPmzN/YRzgGC1jYnOhSgGrkGX8 +Lx9FZKYA6NNFmsJwfcML8h9jHokEC/KfrUDcySxQI4yQ8VQUmUtZzShusGWh +NGe5nZSuSefpihcRfed4Zz6CxAinR9fYtrOPrHxmWU9JrdXMApjCBPlBFsUO +mjOiKW8kLWjqpmlHpn4LU/T0xnppW0zBAgzAsVeb6KKLWc0ceGoWFbQde3Mh +XP8dceNGyxzMrIAnxMbFl8KBXlKGx2aGu79RYB1YJr/vUFu9v585vm9KzvXw +0V+h6TR9dJW/EL5/ZXGTJWO5MAvKT3DVBFvJo7PfGYtAa2eVt4ojY+OdLt+W +Pgn95WvNehKav9v4ULtLpeyh+eR9yEDZ5L7xW2kPkC31OgtTEbLA4/Dzrdop +iY57H7soxx4PsMOZh0Z6L5rRFEDAKd/x1KxLmSPOfZTw1j50i7fq+5fj/5cy +9WUGpRRtJllrAiZXAZdr613Y563gS6c+cHOG/Y7QdsOPnT5C29UPkYg9ky+0 +Vv1BluqIcBq75ikzvKEKNaTDtdhoFW4WCe2X65qJW2lO+I2mfBGyGIfSyHIn +q3NFTjlVnM9irOTUpT8+rK9Dc10g804e44spqoMrEfQ0PqhyH7VnoJzFfSHO +ohDZOlbYIBBFAXd0ZFTYUaaaqRlRPBAxlNyw5kbvyiuvpOUTy4Rs07YHrzYh +A2ufg/ulafBb5pPKQBIkH9eWMXmH7ndzeUze5Rw4UiJC74LOWdaoWWJHBY46 +NrWbI9HiXFbWmWfjtAoQpehFX4Pft8CSvIBpi90WxYxuLss21LdVw0rGsfUl +qXay1wjRNtdTnt3mJj6kWKKA6X9qoyhcfLOJTHjVDOl0+q6ImQAlBPgSR0kr +huACtin1HvT5xrztTqjj7N8F9LYvJlBEzBfCjGZkMNT/L+HmTU9f7/X+8Bt6 +3mR9gxR94wiq/8eZOYQC8VW0oe3E643MmLne9NZar6sjZpLiggXsTiTbJQvk +yQVyKzhp6XZgitr1dPgT3CDL0J3pvkdfAOhcGTq8ty01tH9UreMLzQBFaYof +fII2JLGsKl/XTBnS1kBW3aQhlBtIB0PHc5krlC2XljyF5pKQujWTOyeNkSeS +XVQvCTtgo4NBvAdUg14ZBc7YHgfXZvT6QVCoesUxxUxQRXK9/PehtohhiS0/ +/Z73l69fYCZJlgnai7VWpBiUgrGKwW5NE1BATfz74y9X2Z0WXvMzBAn5kE8n +LOc8AdE/7BjdyzQEoVXodzGHRLTv5gqC1pTTDnu12Ae6lrIIOcQAedYWmBdl +rJ/CuoKReD0TXGYTTAVaKSsI+Owh9n22rHCVzpuiPeU2c5jcp94TVUIfNPx/ +lL0JlFTnlSYYlREZuW+x5b6QySaEJLQgyTslWRZ2yRaSZRtZspTaEJKQlBJi +kzDJmsmSkEACSQJSyrIMdo+q6Wa6DqXqmsp2nx40U80MfShP09RUO0/7FIfu +Gqpo07azcZX95n73v/d////iJa7inAgy3nvxIjP+79773fWvMMsdE79M9bMC +eN8+6iLGAN+9awxgHHQt6mQtjr8hPU8ks4bUkUO7fnFwZtddFhKEFGsUgBrR +EMbki4rAtV7QIGlpHS7tlrev+YMwsxa39O+5S1+qU4lOLwuHpSY+b/742Br0 +J837/D7HRyuDqfdzPAYzPxfLjQjzYSOQ6rfTIqJ44kQhE+P1c8/1/lYTkUSB +8MauMJJ5pGW2kLprHxRztplOgtXW7OzoKJuerl12FhSe+/uFKkeQp1PvtHzZ +GIVNK30XH07bRQVmHAagBADv0lxopeDoymhxogRG35XpWfJ+6PmunJk/uSNc +WDuE411Ppt1RRonfD7V4bySUY7T4UnOBX1A+k+zp3gxPUM7P4FXFTgeFYGyF +GV4H4E9s7iDRlXzU140uJ0m/BQtd5bjltv1kbXdeDiN/oRJK6jzpVglqJh0P +wgKTel1oaHOYb+k9MAIfy+OWBOPhQlfxM63xMCnrl0hZPxijrPdju573WQMP +hzXmjJE7ZJV/tPH+4E8HP8Wr7Nj5ex0lz2XkJNGljrYg+MR6ZfhYiO88eb+b +15JV9katHPNWWTMHLLb3h6scXxb+DfPl9CbcsvBnqzGkLt8iYntmoN3qZCz0 +dRMvpXOp4PzuNj6H74UWPmkV+61uAhz0zeN3Y1zdy2uudcU8yv7lWWVukV/E +PeeYcAXOdTkLr2aciLyprCBp/mfTcDdZ+DJ+plV4l3T2BtLZS2/yh+Cozh7j +Sc68+qfWSGZyUwdmLr4Pp/B7uJW7+nhgWXW5DQRqXNnna1zS6Aq5ayxuleVf +fEs4/VqWHxbYjmw56i2/F+B/wKyuFn57iaNHzbeDL8ljaZBvjO/MZxytrZt0 +GXnmdkk+B9lHHFdN8nVOqCgG5sW49fiazwx2SMoyTFBJgR5nK7MxNZ5SOAwT +qg677/cRFErM8v9OklbqyD2WFcvv6fZlpNu3t3XyZSlGiS17GGu6QwDxzzct +Ck5v+0xoMuDlLZN1Hm41wGlzmBoWGvJdlNAUeb9Dmd7urN0Ra6f59b3ZLEe8 +BfeC8w+avzk6SokX/GuiCxJORI2MRzDxTj0PWctjGG++ylnZj9bMcLU67woG +odfjJqnYXGkXfKa4eeTNhxrjVfSCnYA/blz4wQ7XV2MCV+voeFuvsKqnEHYP +pL3uARh2OrrAbiWTHA7ez/sGXNYXK+LqdfjMx/t6oNd7ZNGuHGpWqU/w4pYE +p7Z8PumsPm7Ajtu76BHmw4ydUIIt/aIrVYDvlvUcfqLa7qUp66nDVLi8aMxb +Ty9S/mWznlpBjRIXG2yROgYv80u0qxJLeRuWUoVUdbQrpFWylJMHWpzsXVet +XUrN1Fx7v8l63tw7dph7vDSL7Bdp05o14HCZCDD8ciV8EGRUS7a55f1Ox+HE +vxvsNJU2lczGXN2sQY+Ibp4jC6ixM/ofAXJZwJSctT7WSzMR/H0f4ytwc1Lk +RejQaBzeM/C0lJjsb2nH21oc0rWgw2y+KaOkvSEmh73l9KLeWpM0bSDlwRil +vPjWNKEtw+Oc8vOxsEixHw2Xpfeh+ayUayNK2SbXaL0b7MI2OmE2y6f6u7CP +ZaHBca1VYeNTUEeSdTwtkO6IYub+clMlneRAKpHxviVfvFUnga19YvEtvJZK +/lXRQvPNl6XCefw+JJEoTudjMK0/6r9fxM4cU3+IlDRslWVnOE6a2ot+OnhJ +yqVYfU7tfmOewUuZLO0nG8L0R9zSjnpLC//JRkYeCpc2vvJYqVjCac3O1qSC +06vreGZOfhYvrdGuNmC5ASOJf5Cvjde8ebuq9SKuINsu00LGA1suQ8Va9auN +OCS66nkBDZILYy2Mo3OxpHVmSSfxrP9k2sknT375Flef3iZfL33T9uudfhWN +ZoVWhQDSz7OFlLlW2Q1q4JMQHYVtLZfbQkGo5N8rx3o/y0mMpsgi2qEeh8wf +YXoc/Ok+D4fmsyiJYRymskWuuv36pxqC22/HYET6pt/l0t8P8+0ioueH2sjU +S/IJF7zHOe4f5Csd3fv4l29R3dsciZYa3oQCHbXBZwY6kGo+Uahw/CWNiJBP +VOcESuxQIQLBlXebTRsfr2iVWdHemNosjyUpz4GelMxEQpf4zM672LcN2ZQR +QKzT0HOzEXnwCDZ0qduVrbQHAlzjCL9QLETI+djVQ3mMK+TY1FDMWh701lLr +uzmQ/Yj5w9yiXS7qxdHPmbWEmvXzFMMYsZgPPlqN/D195fhTt7bzMXqgAuHD +fF7Wl9aT11VV8MW9PHLvB/m0o4c1mgEtem3c7IrmRr7MYqkFHnlpFpdCzMa5 +0hgHiZRy9TSxEuTDqm1XN5ygHxU5QX3BeKNd3zvlO8bacDfr/hb4HEXrm5Zj +bmai3RFhWkNW5LSmrt4lGKjerXeIlng5VlrHn+dUxWJnhb0hGwe8FfbKsh8N +VW58se2nQpUb1mcT4z3xSi1PD8oz7YXWpF8M6XArqiTLc3GuJqKTWT2umYE9 +FVhU85zGarcalahWBx9Oe6svFtqGQRK8tl5zEmS0wvGJnKKFrBVd2K4fNI6r +Lhbue5ljGuaBaRbjSG1YQ4e1IFpjl/bPh27nEHO4tKGHw9GrsaZmRxNDt7ua +mENRS00oCojJO+4xVx6Qe3yP3HbqaB7eq6YhnOU9p8s74i2vRp3Zr30sXN4+ +sah+7MKknP244/L7KoKrYzl4+N/nhVs9w9aGnN3eNh+LmhYBJoHllXEVdLss ++KVRhCplE7+3uttkrckeh7nJNSh2o8OsswPe7vUEW82i7OYlnoTsBbGtgf4e +G+gfFnpkgaVEd/D5h2/WBV7y30aa7QIv5OdkcHarTAldMTPBZzRMdW7PbZxW +CgMdTujq6TmyYvHBDzfyBWLWIu+3hQWObj63OUwo7A6NqR2Ssd9b2l6JKnPE +6puhnS2KS9xpVtUrPOS4I1HgSl7VdHDpYDP/Svh1sXLXodK+n79FxPn69wpW +M8MCkyXm7a/0HIJYNpoxyhsW2EgHjqnCBqmutgp7tpPDtEa3v0szGBBoEmLb +Iy86mav328QfQkZKgtWXH77/Nuy3qaq5HntvfgawWjkDX/G4F07YwxyZj/1k +eH6wb/XD/KpcjrmxqQY5pnwYsu/qZdwTJp2uapeVJDm26FC97OYMnNWFB8qr +u89bXZ1Xw6HlpeHqFuUKbotRyWTgWSXX8OqiCq4QfLTK/EX4jc8O8ibM38/P +4fU1Qs1SSBfQz9hFANFoFtwz29ptEokEntlzQySmwRlD5lPcMCPr2y0LqbWJ +jkGGFi7hOrEkOjJ4rSHOPF+nIIsbCVD3cw+PqCjYXbWzk3tIqsbzIsikfI+Z +AAPT4GPYV4HX7+K+ecHQW48662wuXfEIieIiEsXDTdV8uIIPf/x2l+cqK2PG +8Uv7eDhbaBfUlIfKOsnKmowjzzbbEy64nV2x11twby7Nt82Cx5aEzg+VtB2F +pUq6XhZ8cl9LsOxhI87oIbrOfxWd6xSBniSAqmBCsMle83DyvKeuH75ZQ9Tl +biQL4Q8tLB56YTbTsBa76h2y6hqH1Ic4Txy6moNl5sAjKVToZ0uuTUwaZ3hS +jSz3aDCeo0UpSCJgPn4G4RjP36WLuyuMScQteIUcu3JQQlNPzLXHSBlotsIv +AqBjZBRAHj2wcA3BscYMDs+SxT69MtzJMm6xh73F9ibNPBGaZTelwOkGXnFT +PVycODq3tQHSFiviaBll8W9SFU4afWT5rDD5v5X76j/MN99Aj2MXXC4oi4uQ +kLfFW69G7XVBAAC1rterwzV5sLXKAqDcyTi6kwcw58S0RiRPF2ec0qbUE34V +PXTdh56dXY8Dc2RNwbI4oEGqbp4c+9kBGUs0zpN8jaJfHbKslCCFFIGVfq8I +ACyNjhOG7D2BHS4iWDbL4CQjgFhyR9gN42xX53b/7/Yw4Q2Y+Y7YbMkzTAlD +D4Mfs8wFXoHQaC/prw/yiYJQNWgBCIsZhz4Tk53yDaLxJzZ1WI0//noPtkHI +F+I1frUCxFH2EkoBOfbiJRWq3K1JIIPuFSmdemeG6fhlCCSdOLUTLTEFJ8nF +xR512XJD2/L2cbxPVW87zMd4PuOIK8KPzMEPN90Ug4Iqfk6zVHPDC2kHIEqi +mG4MGsqATsFh59uMr5AKgl2tll1MDnGegYNaw/FrPuSsOc+B6Q1te9EcmO5Q +1Ye9jVD1h3NcYIzVtNI//prxfbDiROcMCiocf0z1Pfwy6Hv2wjOO742clOr0 +65xkCeMutpFEaH3Klh3x6lfG+N4aLSsRmhehARwf7RESj2lZrg1A1XAqdLst +CAy3K7/gAgAP2IZwEVEtMI5fzIqoqnwFwZXDXdxIEqqCCl78cVGAmrzC+1Ts +CUMI4fD7lWKgzuBeOTb6VI3NSjir7w5x2OVJvDfa5Rnzjtgq0I44A9BTGnzS +Xw8d/kG+xpF4y+NWzWhTeJDuJwXAh5mmbWVR+TBf6+h+jYTC6kP3px1kaPBb +ozJsF+YXRV5cjY8qcaQ20pG+OSlG42LEdic6rp69piVLwsKzZF/ww5hppuHy +wwDxMy09QwCB0nvk2KnVXaLh26F4xpGFL8JA2iF+jgKwWNBQG+iFSjuuU39R +j00dyWNlOJWxNx4DOz0MeENapM5v+mxGq7kltP5lR+ujRzNf7ugCcD624+TS +QRc0i5t3Zku7xQcAIW7eTcBClWj/yREngfV2VyomYEOHWW/c5LkB3dbKk86X +KnPfayfrz8mSpkjRihQmmxkQSUv+QoFPngQBDN7L48F2Git7ZqNx2NXBwzEw +dFECKCoYz6ec1X7rlafkFZ5rQOOZAETDMaQpVOI5SqBuAAx/nCepxz5Z36Bd +zu7quwMXTL2BO8vOjlp5IVx9TXj0e2WgRgYire5kDi6PZLl1M18qaoD8O7vM +p9Z1FQQZcPI1KKfIKLfrX8YLXcm6wCa7EApABUZx5J1pY3dMQYsmyMLKlbTj +5zs0oNVNkCHwbhObUtBiWteSJ4IfThNXFzyk+TkZDDwl/uDuFmSh3sP3waC4 +driRPTyohTl8rCr45dEW7oOH5Ti7tU0k3hkLRT+Pr+hh+x53n3scS6ARQbUE +rqs/DQ62ezjw5qiYzGZ8IWguxhIs6EixJZjF5A9T0PKsBNCz5ix1VgN4q0J/ +fWJjR50FgJH0tFek4Ch9jve03qCExWRhyl1fgB9ua+LQstmdOFh5A81vziXv +jVH6/a4aSIsyuH60wKuFB/18t6DBaoc3Z+CroWMVHCk4uXpm8NKyZ63AY0FZ +4Nd1YoGhuPj9E981WRqyHwnPtdA44Ucruz29r77+vnDF3f73QW/Fvbi76fLg +WlAtVrDxHZlaX0z0v5cHm/mACbuoddbN67o0CoCJH2CDLFO9JLXHeGCbhn2S +1uybfj3DdUm3Y6EZC5xAzTpKPlKViO9FZLzYws9wUy6upj++qsdULSYnXMm2 +DenvhZJdJmtBEm3iaU/NwVdeJO1dsr6AwtktJMwvhML8mXvvCvBlszDv5D3c +7Pu5GmFfMyqL3hMWYcPCzbK0Npuzr8Uu98Qa9vY5Licbw3ujDga8tfYGmrwc +avn4MlGZj+GT/t8vD66OZrn3JYeKx/xMXvpST9BROXPpAG+Q/EG+MoYOAAzY +FYJ5Iafe6DsjD88aC+j2K2NNNtbLok2uApevVQsQzu4IOb5WL+Zs6iasOr+4 +r7VnunYU0u4m7ZZcAvBExHxRcDQUc5VH8Dj8jiSXCZVxrDeHhL4yH+7Me7Bf +wArJvGfUuWxBZXy0keNszi2gApZ97WbI03vgQe8Vko52V42v2r33s+V2kqiz ++Bd0Fbd5i+/NK1kRLn589aju0UVPdpzKvT2k3zfUg3TL4neJ3E/0h9826YAy +HE6Kmv94fadd1uNvdvfgcEtMdo4zaYe4q5kDA8jO+uHeD/M3u8VPUP1h/ZJR +/Y1ePfrNmoDno17xU0wLSiIVJuDJ2fthUY513LX1lbJsurqQXkXD+UHZ+m35 +TERnrUaAJYBGcPPltNxWI6Tk/a8sfy74NS04XtXJMWgTtSL3WMsgNRLrupAc +eK8wW5Bx9WCYXB8JkWGbfbd6yPBG0r9m8B9bWOpsdOKZgfEXqhH/E1C0ika4 +QqRVNQJr/aPcdv+BxoVBB2wYgBggpvVDyX8Y5yl+/N1OvNmLITg5It7HCt0I +RQEifvOGThMXhpF2SqiGXphdOm3c0G9XPP5WD4cWUuoanCiM4ioHHh4VrJIl +gpCrVOuyHX+924YEc0oISFngeLRgFcYByoLgY41Q30vPBL9Emxy9qo8YIcDw +HgeaXHYx2mjgOgcYSWvc6LlaW3suGFnrYmSLhxFvx+o+g5HYWtRkaDXC1K1Y +DdTZ5VLASJMoDuWAnAwaaEs6xkRtBU6RTkmwUsEQd+h/xoGbLBIn0uBA8IPz +7DMjT3uIg8gf5nsiNTxFsaTmSEGWsMq4hHC9E2xym9ERbjDnkgvwab5VSQ0H +7xJIwkdVRMShNu52OCVUBMcORxvrHG0CXjj07Gx/T4TH5rE2ARfR28LZ/PlY +uwcXtVcuLK8caLLhKdZaIDNcpj4/3C1FkOKNDtjsIcVLKZjtr9i9BKnkHQal +Z1xzSqdF8/zWAAcaN8wOk8W5sL0B1TmiXLKMEIw+cPLEpFw07WAtzRvdPG7K +IKY0JtuEPcmAimqxNzhnfdW3UXH1Yb7tBgVBXPBVcCpFLN3Y21oVAxbtdkfZ +bbTbvcGAZSI4UeRg1gfj9VcFKADou3m1PFhnrtrZ0mYtj/JTrGG1o1pwLbDh +qhZgR1WLclGeaTPaya8aIrAk9WSxohyILBrS10JW8AvsDCPPpsAnqeySzcsm +FysVp5eFIwhw2QkJN+i2oKxtXhWrEzdT5NehRYJSMv2IuZLgxEs1XCuem2NV +Th0jp8xLUCktA4JAWHO4Zq4QVvJS7KJroqrOUS96DvYLZUUZN3URKStqCNsu +UlFyUhcDlhKHpkRqhmBpT3CVXzFYlgfvFlSrYE0ZMtePeCrkbmcJORy5sV0s +S6hWYE1gtVy1AusEtZKJgYoeA7lRV0ihoolKWKGFfKyUIYl41xfvaMaS3eug +xRtWsNFFS/k5QUXgIARhjDUSou4LgTIanTwyZc55JfVslg5lIZnv52ZbFVMh +QCG+wsDQ8LujaniCKhwXL5DBC7RqBgc+aiIsVqqUsFk0kMhaBQFOBLndKiXG +T108V9G2HU17u5XAAorLPGjJp63nmJMIKOr4mZT9SKjs78CxUlkuLDWHGA/w +hAOrVUSDeHlpLDe8oIJct+H1x4PLB7s9SLie0T0RLUXvN/GxCAFyc51LH5gf +LJxVzxOpTU0o15JNqifT70Kk9KqgZ1iyV7z2q4yIRGt/fxEanLAi/5Z0MDnU +ADvp6g52ZBGSFN3hrHZxTctAG8dAW5zghw1ZEnyIFvMum5ISSzGd1RoJojHs +G5U7+RBkwWxYanubKWSrjmcptTG+kabIS6ZlMMnB2LzGsRA2DQKbifUd1gu5 +m49VBdcOiWtKyMF5+LdR5QE/+NJejv/zfbb0fSv42chMfpWVY+cHQq+pBMcW +RgwdXCQ2NqTapoMLwQw3YFcL0AP2z23kaPgaH0F2XsIGF0FJ3Y+cX60zX0g0 +F/bfQ6szqMiB1Tm9shbMSZQJIhTbnJCGuEBJxwXSZVe1gsk++YwTJUckxQ2Y +ZF02oz6SGyDpkHOInLkljcdXdieY+lbciLEUN4fBdSqPAY6Z9BK7i9MJh9pC +DbzrBcmGWjBqkY/Rz8H4Kz1QN8VqZT3v+MHXDb75WPDTfXP4VU6OYY0ZEzta +4fS/m++MD8LOcYIxcXhR9xskhy7XCP6ar1TabcIimEGDruxI6+4jZ6vT3wmt +UFHu7G/N97TctUL9Syq7gJkOwcwl0swrvxEuO7024bYkh1ppid6jJXrLUzi8 +rwQ4mI20HX+zO/Sd17P7q0XRRaGVtpjcvLJjfsucMOxSxF4qpsm8oBarNgY4 +JgeTPAk3OgIcU08jwMk67AV/Ja/nkcJtfDjN9uvUqq5g3be89SxhG5VUqPHF +HQIZVGBdHL7JgZG5O1SG3H2+y69J3Vh91ONYKRCnG8DI+l1TYzmM5cOYO+lM +8WczrPcwpHNawFgEXoyhNfIWG577G/OVhZ29xGLIZKHHJtcoGLpOWm/s5Z4Q +Ae908hQCnJvc28y/rjR0AE4oIvoAaReGj5ub1Wh9h1Ad6CTHVjVPE60BVWbz +NhvIKYmnM2nHVinsNIWTjUFO0jwvxpkIcvqDd3NW5eQc9aIU52Y+VsHrfXaz +H5fXJBtUCtkgY3sc5AEf9HMcjPJyjLSQKb4iQnNPjIbqkI+Hix1nItVqAT7q +ok+srrcdaw587GyAdzz4aH09txGbY0VF2P/NXIpkwbl/8XotAJO4Bc/1Ag1o +FRtQIfgQjKDov4fhPoCUq3XO72i1SmlOTFRP87ozJOOvSsmu8kGuBcgLgtzg +v8Zy6qK9cw7RKZkmGYTC3yZJBikhtmixI0EcA6VLCGWC3w2GZ44sFxAEoxH1 +nG0E/xBHNIsgoFA5tOarwbmhW/lVQY7Z4N9AmzCoIi3U7BwGWgSsXqm3MZH4 +DdjClghoej8TdsgJaLyBEm97oNF5MHxqUwgat7b7v5pL4VQsD8ZzU/SAuzie +Q3dmrtxRKiselTab3tlstAyqUp7CGXkRLePCqjtjon2SQTCB4s5IGQH8EvqZ +qwtqY1IIXDFERotB1c3AqfCKCNEXAiBFs0Ymm5zsC47noqplSXAsdKkbZRHV +6oDSdjuqZTr6C5YDPVAVAQGpIstyisFSBIy7I1iDZco7lzqazZsSKDFkAkuT +3OHqSA4JAh5ePRrixE6eWOfhxBsvI3szREvC/7PgJCEhZfwzI6qTc4Px7GlO +mBN2UOmYm8e6Jw0kBNfoFwdkbKx3c3vWMWPH3+i2OgeoKrfwaXZiyLaC9LWe +Wtf5QgxH5/to/TlXmpTFcGjNMzAf6pAiBNSfq/uGBwwYHSsJx6gkr9IzwnSu +jplg78k8QMeP5ZUJY6E4I/DVm0VRmMXDosIG2MXzyXCdc6kNqRxqbJO7jr+z +ODiz/U4PpVBfUasEJKr6qedjlfbTcQ63VlXHDWGEdGCHkK5APfFimDgYDcmL +HWKx1sOON7Rma8hriirM/xOfKwNmYKE0BjxVnkoMXtlYVx70a1YyCUU0SaBi +QNXhuYcBRcv5rrFS1kF/a4aJA+YdZeTEiKstmjKijKK1CjYsWHDYtfr7rHAO +cmYhbDmMS0tg4/F8k0DKbWLS2hbiQ+zz5w2k+oMTRZrI0GOBVDM/k9O8rc2u +cSWO1SvViCHIXEQaLqj1vN1gUBygmv7xtqs6Yjoj/NxGEqENu+W2i+eHY3Ai +gOKqlDUeoLwxOKa+wStPt/uf/oTPVcKHg5duN5SaQyt16JGK4K/fqQ3+YXv9 +hb/fXrfg19vqBVsQ5HHFFj+3C7bOb28NefHTs4NrYwUTOqyPsG42RWTwrBFk +gFUKwBBW1LQot7CRW88pU62LcmtnT63rqpymiAa4407WrBg6GDaUrksHI4cA +PNY02mySFqZpKnZ+8fKAllMx1iIYO/6aFLZvaE+YM2TtxgqMvZHnY6rVYO22 +twI2/P6Jd8KgUQrHVEF9uP6B4MeDdzsYm9bkubqs3MGYQtxtjiLNai3ubH3/ +jozNS5gxHv78h9UexrzJO7IPVLQw/j8YfYWvEIFnu91HZ0NJsHpRWfD/rKyh +VSOAJZJT/7C9bvQfdtTVB/31qsNQNmx1WCOe84KzS/ubyL+cawMAk8PNiL+9 +n6sWHeZGlU6t7cpbHu6mTyNhSt5OMF/v6DA3NX/dVB7bsFMUn9xzy2CrdtKn +boctwJUUqo5zTnihNmzZIrN4PKbQyjGVBnMpxteKJVJHv7+pQWCHJf/ojRme +WuFC2W8TI19LFOcg70l+LBpyUij/aMP9wZ9uu5dfNclHgdw58LonRtklHaUK +jodbu2lXdR/P9LeLq5kMRr9TbXMbcYhb5SHOmw1kKrNTysg07Pjv4y1kQBYy ++NZtpcEPHq+k35ERF/y9UWxLr2+vVcSBwvcrhW8D4mocqzn2kh8uaHLpPTRb +/5NSikU0H5qt6QYxzjluL4AbHCdwJSN2lLt4aAlJ1SFgJEWBWvQP+uUW/aPh +Nx3TGqiV4CaokOwtTrv7uk1BQthiNkZYQ5ua1W3QWbzK999arFdIt3U5OMU1 +HCQYKzS7ONt6b6waJbUJRnEs3y2xLFflTePvDT0zWyn8raIopw7ngkVz7CRg +B2J2hsZbHsS8eUWyD2JslPITgzMYzuGo4SSMBVf664jxEM4YZqQt6ceuqUHD +fx3OP6GcvwvPaQGbF2Qg0BH4MCn/fbaSUG/kABSptxvFRVM2BMGdpQj2+haU +C5FjolpcgjrL6Sx3m8oIULbvyM3CSCU6VvAHJkKVv0wPTrpJU/8FdhcFaO2y ++vDNuEnjlR7c95gbAIcrYFf7fllt0mYEqJlyKWHOODHPzDbcryQ4telzrQ4K +rdEcK9zpHFafkFDkfoRVmIca2Tu5VbQWciXa+j8WA6mVHqS8OUm7Q0gVzUn6 +t6Hq8owlIAVj+VdraonIh5CaIt3V9+uBemb95aH+AvO/Ckj1MLAMKbOsiEgZ +Gc/EbFVrjtYCcoCYht8VIQ3RZJoYyjxjqZ6gRrdacU2XQEjD6lqXhqIAdgoq +RWGhpJl3ikSp42izQCiO6y92bWKnYGDsxZlWgaREV0F/xcTBmWfj+KVhLqwr +4nFNFkNtDhjZBD4/C7OdjkGQgDoA1A2AcVsTvVbzSr/NbFyuKUI3dSII8sa+ +vOkhyNuAQJrVoonaPzOKZVq7d/zblcFvttdngJ+UwQ9s372/3lHrqqQuYvYn +VCV1Cn4u7QvJFqTn7Fb+bsdzBkQpdGvZ2BOBpO4GodKGSEDUBD21hABX4iYX +97RyTLQ5piZJs3gVoQkM+6B40+LtbYbuszcYRc3pYtRUsxKA5YLUAy2sEGJY +O9BFa3lLDAEjVtUoKIFRg3Fzbahr2G52iBqOx+FSbWhJ5KPwG9LPd8ttYeDm +Npn8yZEYIL1h/vYN4SmbgzPV0EXbuv5JaNjgEeoGWayF3vtmZfC3G+toQX6z +AwSKAAU8MZ2qwXOpaCbh8m48Yqkbj2gVZF0/ZlqCLb9Z3WWCX92insh/tOpJ +/UmOVVTEBFXXPT43ZF2MMSb05AuBQ+H+EtHw8sp0bhawlhGskUaKL2lS6g5L +x6W1JjjaYLB2MvhBbDTCYq3L0SHAFuxMrLU52Hi7Q7xElSSmB1fKgy/9PFvw +RXrN6j032upytDLnt+KNzsl23qM+6SrOrix3wOWNuOnzwOUl50ZCO9cr1Mk2 +TvxRaOd6E85cjKaa3wte/yw5hW/VEAiKEdZgaPuF32yvW/z3g57agtmzAQm0 +EucQ7Ie3yDBDNhJfgI1KHC4g6T6OfDIrMNVUHFnfhNr8G4VeOy2+Wm4QECtx +9BsGIDtl3DgzB5irilTiWmd09YxE3iFd7qgHECtTHZW8N/iwqCRl2CVWSTzT +09F8IcLbQZ9c3g7dwjE2Wn9VLjYm8caMREGO/Xjgbg5JuLRNsYOGn26xitP5 +B9CiQD/ZV1xTJbeAv6pmV+G3/AsVNk8TB7/XPfh5yb2DIfyKWjf+JZ9LzxUr +OeVayRPfrkwGv91RXxsDP/OcHI8h8gtIzs8R3oA5RF7eg9fIyJvcQ+rpEWm9 +o//JlMLXGc81O4EM6C+F5nVTwcrwiwnU4swsC7+swA+FvtEqmHSk3YwDDQPI +Cwn2Sm/AyJqcIgg7LvNQs5kHR9y92HE0JbhH88Aa/kJ6rgkmdxF3J8O/8utO +bhDcneTp4zXE3Q8XcGUw8B2JQuxqgUk+mldl54YnFNEIuI6/vZhfdcTAp91R +ikCg2PE434FUbV2MfaXDKgJX94c5oKMhBu2kmNc8DHq5QhOlLWoS+cNQ+3ks +f26hJOh/oDz46dpagpBisBQQTAN5JfgpZTB4lX7s/bWPQcP8381NAYMoa4Yz +yRi8crAx6H9iTqjBNrUj0hUG0xRntlhmW5sxskDHpvaigG6Zj8JqJ6KGvTfc +kpoKB6ExM44+QGvc96djeK0xVeeEyFRY/JfsCz4ssromhiFQ5J+g9whqgFzU +FgKax1/tZuiV8rUpvhY4YHN6uLAwcpjDGIcx7feoaFjFpPDJImLY5BxGQBg0 +koxwnPUnk5+LUauqE0++EuaV4vD4qodHby6Z8TOKGlLMtuDpJYmI0/D0Xeng +5NNVqeC3O+srgcdW4DEZ2uCo6xBmMAmAtfxMmKBl+Gilo8JWzuCxHjkO1vKQ +8jDxDXwpl+MI2v6mOlw200JNW6PcdCYgd92Mh/kgmnvicBrZYuzwh2lZYc16 +ryMPW9oTqbDjLsXWGM6sJKfSYb918io9R9OY5wRrjIeMA5bzW8WL+FKYraSl +FvMHV5oBBC256FO3AwIwvXzs4qCEMnpnI4rCx87tvJUT4HjVKR8DhijvxZGc +41moT+qGgLnMlHQl9GnzDUzvktvLbNekgVnRbJxXPKTpQDTOUso7NPt9UirV +ze6Z7FnAsbWeBTTfOHkWf7epjn51hVujUX9hbuA3OyL5zXfJn3gvy0CrErh5 +RO8p0lajPG/5PRRihKHcK4cabWSae4le6oGeEKCVSAnheemcdTldnRhVL3i2 +tqshLvdp/Y03u03us+CQveMrwyqfK2NNpm2vxGBsOKZ4y8Q6BGP1otMAHBvo +/5QzoBTpS9J11w5weSGD59RbMiR+TacFGfSernw2BmRdcgz30ve6n433u5+t ++hQmH74F37Pyxgb28u6wF+ZYPNJe9pCmrVMcMjPviG97GQ8NbVFE5MV708F/ +JDejDnCrAtwygFuZJAbIvF74zU7jZQjc4MoZD0MpHq3kxZ0tReyuysItLSou +SuPg8Npan2WoZX8/1ykVZHBn3QCuW0FWG9NFzg7FAc5ShwOm4I24yEU1PWe1 +cjENF2RoTZ1HbLRklJu7BXfVji2deLuDaVxR7B9rP9hq8aTU7tKe5oRrSK11 +PNCYUZ2356ZgaOWj/GqGHFN44e1V8vFX9jXFmnL9+LOb2uCGeLqVfg140Efz +6oWPP1NjBy87uHNn/7zk4c6b+PZeiLui/XuPhmrOS6kvaEkGJ56oDKYG6qCT +dtbXW/DFuRulQvpwYop0H/RfVzDo5EaP5a3+Swkg3Ugdm7aNLNnvoZiI64pi +6BzgxxjV2WxsNPfz1nnv5zSD5brBGgsOy4wq452NRne2gTvQhlO2+3gXpO/n +650eD0R9pbnQ+CfJEzHOhqnyEFS6ZlScDT9REDobhXgmt1DuAGCxlaQ73AiU +hFmbDytzbgmZAN6tvU9Ze49TdMlsuYNrc+e7WnJqNKetpOXTI3O5h0w4xOcU +me+bd0TDw8YZKdeYi91WHDGXvs+VBZNvk3bZRUAMGJI76xuAy3KGX6mLS37Q +a/pdGZoxrkgFXJFhTqIal5hZ4PiKbhveRZgPrdm5nhu4yUkJ43CABjTRliT1 +dXdHS0pUv3JA760ZpqTEo4xuM6x6IC3hDIZSL06j7ktH2Eod0kIOkzw/O2Xw +GReD6XO1ZjqiNeM8EOZk5IG0Rugf1JZaa7xXozENcuynw3O48wOvVOWR+rPX +lTjoxHGPjfriQaCeF9HPbKoPNOovcMFsocmjcd4NgTkowERw5UUPmJel95Bf +mT2Vi9qETKAwjMaUlJQEeNzcXgNtWQ5UZoDKNFBZA1RWO9qSftJXOxiTBqGf +EGGce32gpkLujkTrT4eaLTccenYWuOEMYLDVcZOhEl03udyJUyMPa/Oq+3kX +wvdz2jDg5mOhJq+McpuiYLDkBq5Ja5xL84pxaXgOCO9ohElP0qkv3jGOXsYk +MPO9XmbIHcEjj0eJgyS4m2gtjHNClOMpPySUWcS5YZl6OfazfTO5MQ2vegQv +eh3u6bi1PKsJbi2hi+z3bXIH+tGa5Hvk2OCjVTYfFoGWzuBa5kFryk2qfj+0 +xkV5ejPNtVLHcTjhlmSw5ctVwYrFhoive4QY/kas5676HPCWsta5gbGVdrWg +65A48Zf+hxYtuPrXe7nm7L1cLibJoT5wNZ9LseJTUNI1HLrGvk6Mm2h+Q6tK +tAuKkEXnPU8k0XSDiDTH/jjXkY7E/theD7b1BR/kJEFfvdyAyTwu7W4KTq3s +CtZ9c67H9vGal3d380ygDoztmzdZwpfGsdvijW6dLP3lke5gw2uPO15tqXWe +AVwoIrqfBa+rLu9ywKvmVME7dYgzY1yn8V4IKXfyk1FM0kjkj/c7HkLK3eWZ +A8im8ii9IBEJIC9dkCaVVUUrt6sBM31eJRb+eRnv+WJHtUVW2vq4tcXI4mpL +yXAI04P2OsHNO8Tx5rvRZURWonmN2hiVxYWWZFJL3TJgeMGaWpPEBm+Zq40s +yvY4jX+g+XfFm6ttYDlsgZr69D13NP1Rf1ep8IJFixad+3h1ZzDy3EyYoTAp +QD+Pv9xNyoqr0I7kahlMhJlRBzOjIGpHXPOINLzi6MqBTjMglF61xpg9q5jS +jGD1U4FeVrkvzrw7Yv54zHxo/j5ZV2/nRRrf0h8j9ryHJm9I4A+LSRlCwaYw +tyxWN41+vTK4vKEOIkRoouXcngkGviUTwX//1uDi242Iau2qzwNSSUCqGpCq +AaRKhKGppvrkjeZ777jjDoOn1NLgmI2cSJz43dxcN2J8fjAsGEHkGNjJiMbC +OcUc8TiMZc+1OYFkT9MREysL3duwbIn1zba2kqIYsjtPAKAECWPUsSlEZ8B4 +YXRio8zYNYK4/JH7brOphf5vzxE6g0bFIzlGS4slU6U4drvAyMY/vsvDZo+Y +Mm+C0Yon+VWjg8IiGKXUVWBtRIhMRaIqcEPvjtg8hPjU5vV9scLOnXTwZCeT +PefhyRtByDSzBMrJxNSKNqbeHLKq8aiKOtlbTd/CUIMia/K7haD3S8btAsKu +b29I1FpkhWawSpTV1EBD8L8s6wi+vog9/8vPLb659x8G650CyvHgXVTNcxri +XRSJFPmmWkWSd5SVci/l/zVuisItJdE0BDfntQiyUPmmebSh52albSQv7aRh +kfpXL0HCxmwvuwy4YuYQJU/+3d7GYHJnM2NpgSAKplDJEp9pc5BiK3L3NtUI +qH452sIDqfAq61wKSj/yXDyo+hhU5ZEbCyUv4HDX77B+XVmzNfb7IbjsOKJn +XXBVeDMP6d9ciWdMSD6LQfeD0CRG+5rkPjalb/tuocn6v1RO7mUd/PShhpSj +zj56sTNYdO/trM7IWIJiioUstaBLM+gqgz97rTVY+4ihmXjg5z9+pc3w/+31 +p39rgiMCwnuDo5lJBSGagqCAbD5ibLmUtJEW+3hdpwme5EW9cYAkVG/YTiZX +6zQ3WLVIlhNeAAO0EPFEORolzQ3lblu6S/K1Drgz7MVKnsZzBIFNwcG8EjGM +IWEEgngxy9rdhPbUI7ly1V97vVrdIvjVxcDP8QjxVjA4IJzgp3cgfufqLz7m +mEis7ZH8fMGe5KiWONjzhqY942IvpSMXP5E4WgnPxbIEnycJnAihV5TOXxeq +Oi+rsHhOaXDiyap6oC7pqDoQ/ZDwc0Harvqs5WWMOlq0n67PB4efmsEMjm0L +aTtovb/ZlAXoUnxZcopw1x/sKCrB7ONELIEPfdaIoTH4MOBDsQUQEhhNuLje +UYOaqeViTFKD7EWUxbQ9QIfCR+UwXSamdevjdzrLhc+p3b3Ttp4yn+MhxDmx +rNeONS5W+Elmazh0KhV6QE7e4WQYQMKIPLtRandf7obe50tD4PEtKm+MPU2D +AnuTO7E3J+NMla1kLizKFY+dONYk2Fu6MExcCfa8MWy9LvbSmh+NDkn6yHwJ +mrq/6nZMmZaEdFFKwUTR6vLAW4l1AdqtC3Dq5Q4+3GAjGmXAW6ng7X+SVT31 +UruFJ96y7Zuzgv9MOPwN9OBvdxiWl0he+O3OukV/X1xKfto0+Oe4TQiYYtBh +yIuGm5ASEy6nTkSo8SQw1xTxH9zi35mAWm2k30FDHtfNsHc+d3GoxXqtUIT0 +mv1Vowh5HG6tuAo6AZPsMjYBKw2F6Or/t7eRgXRXEZHjGiU+NrZMBrxtbBPY +cbmsRW3aQa3B3MxizM0RJ7apBFfnHU+Wcw+7my3wFIygjHfiWFLdWLObCBO5 +75m/wZvp9rQLPJsuZUyagqSi3ilTulmuhSJOujQZnPhOVTBFpi/Y3dAMwGE5 +dmSC/sdkdDDROdJ1iaQFXD0Ax8lVIuTQbf1fn83Gl1do8Tw2poTBBOORkZlg +HQcNNxqgLWu4PlJpAgvLrZAoxmSsTe4Ow7hQD/TaxHk1jkYOqlVw6rDmY5xZ +7nk4ljelfDeFgbZKr04FnA8levgftZ+OJ1tt+R/ruLLI1BdxUAaf/6rdZbCf +HCT+/Ct7eQZbEdFb6CBJiy3Jy6iKAV2Jcyn04o1BBzKHqWoMMOhG7Xx2La3k +yiwQx3trbCGI4M2bCveUhzdv3uT/avCmu6prJPbV0JB6YY3ehengwpraMoCt +ScB2fl1T8PgXb3F8hkwiZcFWZx0HAtv/HGwIjj/fySxPnVcY1kv9+NZ+u8OQ +vVLrxZYYywolt/QftnsVJiYHK7Sui5/T7MTCtXArnCa+28Gh3VJRcVoWgAep +u4zj5mqFN/dFkGrE/jJwht/PsQtBf4BrUhVlqhAzVqfNFjcjwvCu/vxYI+pF +BGTn/useTR3x3ttjvO5RQqfoIySKP3BTwsCslM3p1ZEW1oXQfbiRH3C1uOoq +ssw9Rh0uiLGiirXFN4d9xg6u7Ci573i48pKi/8pYzdgwrMlYWQfBC3UMP1wZ +XN5YB/W9u6HgqLOPlpvYDCBz5k3e2WFXQwYIqwFcEqymgonXWz2riZ//eEUb +iugQZsOFDCzgirElCDtJvI0Tqg7CTFJVENYuCLt+JPQZsBygcXRmDis9Dpkw +AKH4nECcxuFct5djZYO8T7KAzHRnsS0df7XbBjl5s9Ejxq1otBjrlKGLbmwX +ppOjcx/k+4Pva/S2dHFwOA94BWf7zeKTCgKuxlgtHRIG9+X5+NkcTsKmmcRR +3wx4LXSsgj1fBDSwB8P9n7vLSVrdJC5qCxIhjDNoOU4X7OTpIkdyM2KMpuqv +ycGw1/gD+fLdgXNPOjjjrbdOh+gq6px6PlRduOHlhBuR/U5VBsDKC7AmN5An +/ZCJXUJ1wQdIW2CVM17IYSUTOebSf4Ig6NmVzVknGVWMrWToF/T9ptgvGFaK +1srPvksw9Mys4Nohnr3xLkqROK+vxXNcl7m1rSomYMJ+7NvcjarR3fKigEnE +brZZUDVNE9M9a6Y8fcBFbx9Ei97So2zrxsxj/CUT8ppY16FgujjQIgVss7Dm +Yy5Azm9pBe4NwHY0x2YWlj33NLGAm3EfMPwxdh7UpnIb35duwc9zcLguxlAu +dJyN/iUZLfaIYI3dyyc8neZt9PXHxlZG0+m9oTqDI3BS1VlXpiTof5Dg804d +5HZ3Q05QB1UGLOFPPPVKBx8ts6grEXV2fdA4ASu/Ntd+EQPkBBAaTckIg60+ +Bnfij8JVQOUSuwcS7p0bjGU/MQ0BKA9EsIKhd6Y/4hjsbTKxkq4Im9NiOrir +JaFZNSBUfOKi8RXdpo21NVI8bA3s/qaEm9HX/Q5Pre3qsoQt4yRLo/n4lAHk +KPJU+s+EScoRJplSQOIBLQc1xRR+qEmBCbAJVkUh1vKlyx4ylA75if7H/dG+ +wBqMLZQpbo0A8ZWRjpvllsCwyWjORsxlDIzVGnA1sEkcu5VBWREN/vGH3H77 +7UFzc7OdIh5BKteUf9tDqrcdmenb8tq5AG6jR9NdiUh4ZEErexH0he6BC7Eb +QGSkXhvIWj9i2ZfnBZc2cZGzxIvrAFeQou/mg5Ene4IvfWaBvfLjFW1AMCKi +RfhMh3pRvQm/cP1I7mpwLMuTwgCDY7lqgenkkO9TXNzRwqOfEHMNS4zfdLTk +Ft4vubgelAB45SD33Y/nsoLQaRxVm81QHYtojO0967LKs8oJLrs1nxJcLjVw +XQRx8eGa7Hegirt6hpl1W2iYVTcSihGFsZcShFmn0l/o1RvRIZy6NoKdGMwd +DGD5laIW5pvDxuvbrYYG+NVSIyOCBinWoqCKReVNZTZaLVV/wYXNoVX/fohf +O1rtcfMdmKmOth2RM65/Gtp3ZY/jyh7Nlto242pjLss/XRZcWFtbARC3AMT1 +AuKzq5tt4GXkOz1gk9AdQw1MISsFxNe3k7p9OVS3APPQ4zNRB8Cucz0juQRA +rpjeK4F+PaF2naGLZvEsnlAcxyAm3eo7KOs7eK6VhAarWNfaMnija9mz4Uzc +VwzVW/nYTVoYJRWm1TFhQS1dqYj05kpjR9oHcKko22jnP8oFTOYkeRnPEfRC +fq8qelMRNUjas4hqQrvSz7c4h6FMPce41DjGpHuha5WJlsndeRrycI8DYXMb +coBMumW48W5HXpgGjBRAtcdy7DxVCZQnd7awEUCokT4wrhbq0u5m9cdHnwgn +lAiivWGBSz1Eez2QfxYiuk/8JBu1/npIIIpSv+OPVwVTpEFrLaxrHado/NkZ +1ikimGOVBNalDOt0vG5+tY1RXwCi2TMSxnAikLJSB9EmQXwsCxjD8TR6mdjD +9bEiT2gWUKyNb6qKlWhav4cQfGZje1ganXLaey2NFZ+6WoALUKtIjL3Uw3ie +IfFsVL5c3N3qD9I80FxuENtXTA9Sy4PD9FuGj1RE4wFqcdz1Jj5WyVDDcVBd +sAptZ+N6e1TB0H1IPyflFgNPzja+0A5eoSIEz5djhFrr4t/tHFM56pGPVz9M +Y5IuM6Ffkz+e4I6Pz6cF6FMHc3DntZbUQa+miRPf8tCrOWYELhP/xnxv0fmo +S4wqjo0STbxck7OYrXH8LSBQQ0VXtvJsTE0FlnEqcDotzHnoGYZPTAU763rx +k4NUk20WpFYIUq+TXvrojdDwjzw/E8dYIWNqKdwF9tyvIakq1EJhShDGnh7w +zsfZ+Y8Wb5EfRcSg1uEIWmUjLUsGwK3ORJZIbDJRYrlu6bQOVnIyOJxVsELl +H85FsUUKNBHHamc5rtXxFd1FrhXgCxjDtSpzNCnCARzUHAFx4dsOrXyEKNFc +fnWLHAO1UIm52/l45g3rOR81BpOGW5KnZyXG8+7IHEDJ0/WspWvlPhc2NdgS +0w9DlWrHJn7Tw6uXtv63IV7dSog/CBVtb8LZpI8z0+SpXd5UB8IqoK2KRJ+A +RTzIZYNbTufSDGhXvQK3H7/angNUO0Pqe44eC/DKy0kLVNP8XBpMvBNmm9kH +G27E5wh7wFy2nOk1qWDdinFbFoikZ3X8Fjv1+zgZ/R5GJ0xbHJYK09khM5Bi +nLpwBKRJ7gw9N8vL/pRZ2JZM64YllwSHQtiW8TOh66Dxrzi8Ptw4C4frHWOt +mrIrJijgdXjQPRS51TGsIw62t8ZoZIWtcgdAsMlR9EpN8Hmq6F3JofM5ucXw +N6ssP4ggltXoNzzE6pBYDnH9O/O9RYspHgw1LDw22z+y9PZ0cOKpKoLOcEOI +2EpBLKlV67YhvGXdNmhYQjOCDisflug1MWOwYlzDzIGx22LJbonrrO2sK05u +H81MAb9JQfH5bS3sxfJn01cKFNfjXMqqXAnUu+Eu6c8rkUAXGDCC8RJI4LRR +S0w9mgbqORJWGc8VsmGeMl3UHiCTaHiDRg6/5pE8dVXvJxw8FQyXiwKGVebI +/cPzoHUtrq2/dhCb+h0GfK/tL7CWBOS82QcII7zAWg+8lG976k3Jbq/m6AYf +2/fWw8FPdt4citAcAZsTuI1lC8rHcUydQyfvJETDBG4HWprk6qkD2eDeGSkd +kiYo9ubwPeahWMfVsm/2v5tvLlqbwefuN1D2cuXJZDIoFEiFPoFgpgvlCoZr +ZXBmZat13o6/0GUU7ncchfswK9yQ+OYss2XNm9RI7M76CwTfxcFO7eIrg692 +GkyWIBqs+5ZTSLGhjSesGMWruaWYEBnOpCLFRG6JbQfOaYIJ1d2xsf+ySMGk +Sx8K7lDBU2u7ivoKagxyT8do3wVcKyTIrRQ4QZsxD3p2piCXtOb2UGs2Omie +WNuB64qaRJ4mirmqE8jOyx2sPt3ebOgJPR9a/VBwbvut/KoLz3UCUvAAlr1l +PV6sQeMPdQJFYtBWcqIJU/ILuSppoKVd7nBufT3YAk/J+kEMar/uodabiWvG +95XWxzXwfZ7PVYGNFSfen6oK/nozqdpviKr9KqnaLdwa6UK5TDQvgmnIkyrD +BIRV81ZZEpwHfhusZ1YS8l2oX/bOjPpNsfp9R6KTH6/t6LCQbZ4mXHZ+oNUk +FExMLFq+i4rv93JVTno+NquQEj2rcyx5yPy2thZnTg46VVVHyyA5MweMp7hG +gTrquGL4Jhg+x6VFjEBogar68aPXZyDbaoF6fnMrA5VMdBQlAtTmeCVdIjc+ +uuYrwZ8PLuBXCyK/AJg1S8/8GKJQKVh16XUkAud4ZN1yh8FHwg4XB6t2ZuCj +Hla92br/p/niojmIz4Q8oTgotq42BUQisrPK0aYvdgXXhzLQIILWVqDVlGay +ngWFUKIOPRvx3Gp9zFYDqZUmmsCYvUrPUR/NZO2F+PZYWpBxQmOqiTU0prFf +ZF6hd92yYC4nTk6TgUBrTYd4bmhrRXwBCliqgqFvG6crpSPHzHQUJi/gOQJY +k14QwNYIXoA21YELY/RirRACaNuiwMFnjTEGwHFtR4xmVqyOr3swOLPtTger +BtbERYzHtr8wF4drIlGFkBNX2QBGnEcI0XCixviO+T5gBgvaU6wsj8eA9hEP +tN54XjOHt6jd726DjPiWh29UBlcHaQ32NqQFvATWYOiJmWHAay3PYBDwFgS8 +13cab80tMRnr7YaWZWCLN1cC9QuVYvJvrKLrbHloK0fPksCxyVzsRN3xb5Hr +ZWh/Qqp4wV++nUeRmlMuID7d0Sz3WmZnWoVc6WDYrTg+taqLNxVgD6zfKTZe +1YVNdTBXJ36UBblvMyKwt3XG+7lOdNqQGtMNIbzLp01GeOAO9aYA7C7nsI0U +7MdW4BbiNww2bGuB8B+GZKpOB9nApwq874iRgLv5WC1fyjSZdDt+A3AaBBDi +AgvioeG6Urxd0fzJmnrd4k7R7M1KXOKh2ZsEfNbQhdjSljtCPez3WpC/dvK5 +6jLguVTwPLmpECz7iqjUpbOCazuyAMMwWMOeBq7nQ4Shv8AEQ4vd1z1KRu01 +zD3ajdLSIn9P03QZC+ZGW9SMDw1rGU48t/jm4poEblYWAN9kFXTSKX+B32Zz +W6hcPpLPOPjW1Abr6L1NJovXfoMhGewNdjos2UrBGk4gm70lZQSaht/YM3y1 +G8eqwwKt5GV6jm7nedmlF7WCq0u7mqT166YiHoxjpQJlXAecTRd9IOqRYHVL +77BlW/SeH62/L/jTzfcm7oy6dqs6E670AMvQ/p/CVmyGNMivoJIyB1dXCmzX +LK6wzCEOtg97sPWmDf/fIWy1ZmZQGfCtBraLE04gl8sXFpcTE6irBmyTjhr+ +6OVO/jXBJT5+nR3YYSjNPQiaMWwJogxVDTGwCt6MgdN8GirXzcsNfXsmNHPW +grZgJxAg3CWlEMA2bohaVUSFCcwRp04KHI6yFsYjFUhw4ihzDn4128lioF/L +C7rtbSrEK2TW4YVp+pcwW6PGbSB3q/d5lJ+ZnD+eq4jM84s0MmXDQrA+Vc6C +Yy+aVi+4QtCUS7qsP1djjxFNthgTJ8q38kSZcY6uSdwsGFZFD3x/f939jOG7 +5LNs6nlXU+I2wTBkBtiOOGlcQ06wxuWEYZWwqZGsnVB7QrSOTHHkMbRf8+Dr +jTr+D7K+kbbJeQa5sRyC/LMMkFsiyCXfLFj3demoWDKXfbWMRW6pQBME4viy +LlvtBZeN0FzLp0stv7C1iCtbE3kfthUM2zTr2nXSp2SDwyvaUtO6dE75A6lg +zHXItgpWz24Oc78o60TMQtlF9gbatybMccQ3PHHnZ7PUxiqPkBhymZuem9jQ +UVS/UzBotekKh0acZqSO8gN/yihz1+XSZPlOO7TmaK7KUYWALaDnqMJIuEHp +LiGKb/PYI18NTm/6tOIToTYul37oZsFz7bRUhHNlcmfoa/y2Wh5JcnO33FJo +Ql8MYLlQ4avmb34nVMV2pPJfmG8j2o052wAW35dXg7P0jnQwsaKmEAI2FUy8 +6XSNv9yZt+RAeAEUrPICcAQ6lhGY4rRWNoIagBIUbDsKU4KkU2gWLcoek6Js +UwJJJrQ43WZKHY5lmC4wachJCHhyqImdZBt2ILpXYanENHyXKUSZJOM0dxxp +kGp2m/M8prC6qzwmPKxRNOPmJceD97NRmJogmcA0w8+ExgP5YOWjUi22s+lW +5/DFrS0cttVQQ0nw0BduS5j9U89vauUr7xK0Qy8+9NBDwUfrP4+wxigGL9kg +HBdhv9SdmCVRD41jTJshe0EyZPt555ki91IR23df2EnsIPa0loc95CHWq1H4 +ScgQeqNNnd0GtpFU7+8Fyz9TRlirIyztQ0PAXlaRuzPBwONOe/oGnn8y3MAJ +YSBuVwa0weYg1Ee7si2XMH5cih0z2y71SkeTxW5eKhvOr23ySr2B8onXW6UQ +97RqVgexnoeGJrFstSDWjQBD50y8026SFqxfq26gX/NOQiOmu6rTjQBPywki +0WFt5uPSSuPKJe8NxjNR7J50VWzWAamNcB3Iz+PDNcHkYDNrX4W1dcno9Uev +zeDzuNUV9CR8wWQ27hYcb33xvuCJxx6CKMBtG81lBGsgEIq/Lgkzq0Mm8bjp +UmYa5nP4hoWwyxJ+6EOY2ewfeBD2Zj3/xxDCRc2hZk5AelHCiZGB5A5+tTK4 +uh32e1+mFDhuFBzDQbONLeSgIVrWCBzXiQ4GoQBulSr0PjgfuE7jdM7hCxog +xnkiwYlmC2ZTQlmO+oZg/Nkur8T8oxc7gitbsraJxlCGwWCoKAkHr20KoG4D +qEsdUGvATELEvIuFUcPlETUMp4rUcDYmdIx0HrBeYmvReQtBWuyP3+60pZYX +d7XY9ge3vI2u4ZBynQHyJ8H7RQHgrmC03gI5L6gDItnzXzoHjH2UAwt07NQb +XcG6b8wtQjHQTdoZssjvP7uhzWXGfIzYbLBkyRJG20JHYBDDEIEpx+GsEA1O +3hVnQTRcB2JBXES5ONS3qnXF8sSbdXZsvkz+iI60/LIHZ29stNnisWhsdItB +cnEDTSOR3qerKyyS845Ghs9mSeuqVoBwGBljwyY2Fqy7pnAndFfhdFaIMfq8 +PH9tZ8b2HJaEpZRpHnYT1cwX325EibvpwUmZ8NqFYFfdoiDauzqWnRDfDdUj +R7mIh/Tc2IuGt3K5A0Hg+liuw4I5FaOheVaJlrEjSDLSWFR2yT4dZz3MDKYy +1sOaPMbVSpURTM6EWWbewSIK42FXHxcEchqsIiWLkF0RjKFs9YsCDAFjgq4h +DBHKfJdAFjBev+zL/D7iBQsjEkO0AHqKLyWd7fp/Xnpk6RymKIRg/jBNEYJp +4BMRpYtjFdPAeLEHY28H3L8074hOmzb7TDMVRhzOp8Kv1tQCxmnAOOsoZDhu ++LvhyF3ayuN9hqG7LbE4taLDo7J4Tcdhz/egJdFqZTh5ViDe4i4UF80pp7p9 +7Gm/+wcIx2gUnuOUMsk6hrQ6dfE17QTmFgfSgLEG0pAlunYAk6WPZmdY5gEf +YH1H2K7Y3+5mQyIVQPCyBM1lkYI1t0CR9DPvZQdW//40qQ3BcJMAS+08cNnG +xyoZWBwYi2DYDSxc24fON49SQ3XSW+/kw6WcyBhf+6BFOT5B4QxaoshvkOtx +G8D8+Cvd+smJOGeRaExzvH6vw+HZMUzjRyGsTzqwftCDtbc571+ZdyyVIDCG +BgDuhqdFYsClSpURiRVYZwTWH/e181fIVPfVDj7awi5gmiE/9kw3f28Me1LS +5BYWwhBx6OtZxb2ZeaW2g5uan6hSRhKPoJ1oDXuOkgimLQ3iKtrFzWvk51Kv +onLgO8R09zTyRN5st+UeYSKPExaHeMR/UZubnuOYW49Ut4FFRAvWwDTwWlrf +ZNOgZF+xGk71M3wP2UejAwQkyQSCehiMVzWkUwIewXFWQEk/8lqBQRgQpy2I +9QNwnq67K+Zz6cOq+XAVHwZHgbqNsnLg1flw5AOthmdt8fQsVA2HOtulGQ6Q +3TmxX/KAPO4WQJityOMzGgYMxay5/8sVwdUd0Lz7M3lLOBocwtH/TYf1buV2 +sb0NHMNA2+o7TTYWx3/REzOZTuMshzii8TaoX62+TIfddGWc2Bt7ujuin9u5 +zaMN4C414D5BbKO4uP1Ig/UIS/kZrVk2emxADT1FC6XVWxx+I8DzFcxBEDkj +iWAmTBed3dyWDJMm8c117W5WJG4sR4mEOUCnnWo2E6lLYku/aJHwZQfzkP9D +ubwDcQEtYOeGOabhBjbotq+gRgBYVezdIcj/84EFXDuhniMT40dvUg3uOpPl +kQ+N1GvIO5X+zIyxAeqOLv9ceSTCwchdIDNbrmrU2Ae8V0UxGb6tqH9YxsTG +k+tekGsX8PUC+PPrm6wOH3pyJgQAUNrbUCeA17SJS00QA4FTmbaBvRpB/ZVt +TlkRKjg3o9ebztVJ4fFEX5tP2KHONxR4mFsLUJ/+xxTKH5XUCLoEsmWC9Yuk +ZLzw3dYWQ1tanPieNipyf5LpWpPyzzBOjZugQ2+mmzmJZgDpte3Q4/i0FtBL +drDRAH40hm8vdRQ9DMIh7tfYYmLDcBtrRRSuj5Cq/W5bMPKMX8x2HwH9KQL6 +WwT0vagROgRPwgMeyo9u52NlXM12aNVDSvEBSkvtFzpSoseSMRbGzZEQXDT8 +Qo7r3Ii54Jz6voLeeGp/NujKljBVMd0bFdDPSyTcDPIxJdwa6AecEcCLSIFX +lvFfzJcZrSUyUwPiafnJ56trfQGonc7FXM0zGvbCK7RMxk1k4+eza5trLPar +BPvExa2fOf7cDFgAaA+tCTV0BrWgcRqfq5fKhdMM1ZtgYfIcPS+ISEFYg0+o +R0N5tkQEYHJXkxcNRD0oBmpn89Jaok0l/LeiTZgWFw15bgFpiXVOZ7oTmFDZ +HB3KXxExA3gQx+GjJtqdtFXJDvw/CQ7lLfzbBP5wKxV/FQ78IRZjz/e4Khf4 +gw8I+BMf6pY7gFZzFntnE+qL+NhPtt/Mhch4VSLHBp6Q4PNgM1TTodytwtHV +WwBHx/0J8rEcnT7gFsdQaKxH1fzEGyGlMWOgK6Gf0bI0KJHAq9JJd1L0N84h +1FdiviD8eFXB/oAnB15Bh1yOuy/RQOJPzTftdlDjZ3PpNNx+I7j9/kzOEvwa +x29FcSgrzMdnMRviUpCUyAYMgbIhzpYT4yc2FKbVKxw2hIijrYFa3Qzs7m5I +OQ0pXlrosdk4Ziff1Zs+ADzziEWWj5w6r7tuUON/hJuqjjC7393ILEgF5OM1 +HSAcR7KzICUZp59Fa13xOLWq0+lnmenOinJjhpqYrJZeAI8ALe9JhTPykidj +jMJiTuiIVHQIVqH42b38LreDH+IgzEDoRsZFxEliEHe0EgRrwT7kCKZYG1uz +c24w9OYjjlgUXToTh2tEtbueK33kNITrDk0fiShPx31GQ6EA9+mT5rxzy8IZ +doMCZ7irsqBTSvrx74uuUJROibeAu/XLHRIygtEO9sE/4y9UeO3ZixcvLvIP +Lm+tRwzBFQkuJQFfJlMBBQTeRz4vSwMCFmRFUJjqJd9fb2+0glDu+Ly2HhXF +U4MMz91sH2JKAPEa3YbNMfDPh+FILiVxjIQpJ4FDwMA3z9cO5NnrtbHBvi5j +QLCjR9b0yJZz+F2FBFdpABOrTQyqxkpCj4w5KErRa1zHTd9rl5fSo7KwZDs2 +RzTqOgVGHGoYo/AFxBO+oShwWJ1E4WbBPK5VVR0nB8nIdWQm4KoewgBgfO75 +ja2xiSjOcZKBAurl/hm8TT0B/G7iQSfiOJHZO2JaToRs/XIJ0CRqzHdjB0E6 +ovB2aAsCifWICKR0CiluA85knIhpHQVSVCOZFh/9lWIQru3Meu7xxf5G4y0g +3kjGArbAanC6DsdwttXKQTriHttqrNfajXscUyLAsaM3MGh7NxhXkRw0GjkY +p2PWUS4LzQBimJelNvAIxzCJA2NSOz5bGjpwDHNiUTqoxVf055JKRuOtE78X +hyHFzgQcBr7Biz0NViw6pik5HHlhJlrFMmIezm5ps/krIlCV4ejy5GnXPIiT +PGVkIYuHyIMxBTARikWvyA8OKZkNpUJgS0qwbpVjP9vdE2x5/Vuh4+1o7wmy +jXPkzBWym/SaP8shYq6o0UfF3eF21zfRGBS9J5Yt7Q4Nwz+GLTWElGiuanlP +Gkp1fv2kvJOF6L+E8Pc6Y744ryI4+QL85CL4VzCIK9lZtolV4kMIgIIf2VoA +oj9XBnNsFFoiBVo18IWt64sKArymMywKqBooqvxW37lpesyD+kTc5DKEwseh ++yfebo/G6ZFNOJKd5wTzj7/mdBWSqicfQeEPdwGH1KFGS2TOugfN04RFESUq +dV0HqH9NSekIJrO1ZmxXTW9wMGuRDkoEL9/CXdNPGlfWqCNkGR2FCwWE8I+V +Od0SA/dSx2uQcplEt8BdP0ecANftdkhWRcwd9NPPvB162AUc64rhQYMh3JUH +nRDKHuVBgLvJOiVxmAd+FSt/b7y+gXl5EeN/6lM1wZc+Zb7AU69jRw+BO8f3 +ywB3JTXQ3gpKLl+lv5IgX+PDOyWFL677S/AuwQ/4ekzdN19UbdHMTm6jm07d +5Qc4b7/99suofSPKDswJR3ESUG4Y/8q+AgdBk45u1vN0bVg8kHEim7p5puZb +OUNVoxPr3vQKCg2nT17GcwSuyJhdZrgeZKZ1MGuQW0tas0BatyM20wTGcObt +NmIWRqvjOgMY1OsegoRaVs5N5/R+0sLzBV9X9naYDR4cJONSjfC387Eq60HH +kSSuJJQoEt0aFZd8n2t7w0zB3RGf2frWpQ6T0UTUFsNk5kqWdFBc1SnB9LAU +AbASbjVf3gl1W4vB7M1FMJSl2pudZMn6tnpgOLiyk9TMt6TK6WvEMgcLNTjR +CnBnLLg5mg9lInTFBiJJnyu1QXcDfN06XNsaVi8mTaLW6Gp6dSfPuSRqwnoc +CK/3EZ73HdRodlVGk2cNwmf+riQVdCmh3zaTSZd6q4W3Fnxd3NFS1D+ZDf1W +06fu1CCanWeTGPgehXd/MJoJWCMf5F/zIOTr+v4cWff2uLgkDuHUtWGMcDmY +9ZzYVlax2YyieHcYZo9DdlqOIQTKJQPP98Ats8jW0CiijkX9M8RJoIUJzYlM +zH0WOlKD39tF+0RfyEnMlLpKKODFUu2tnGQyhpN0mm8Nkczl8bjWrQJ4esJf +hVykNxGl4s9Up4FfqNa1rTZIf/ylrlocbrOw5hpGuI97CJuvdfCfwzyC/kda +FiH9EiHwZ9c12zsB8ThXb1GeZ5RXcVVNUe/O6+1MzEH7bWHZzkyC68Uagfhq +IN7U0iQn6ce+4893uY1mnk86F8/VTpZK80iaparjcyl7jqH6VmdnUe0MKr6i +vZfMTdIR/qFZKvAPM5AkeZVjMtF0lEE7o7feQfzZ9a0G8Q8UR+JXdgDxlc7V +NmO7o/EuEQQSAOMJPDMTbO4gXO6DuXZB3c/3tQVvvfwUvyqTY7a8gFhM1jEJ +SsaJ8cQlokjlN8XcQTEPV1blQDHvFsqs+ccRE2hmYH6m+d4GtRy3GPO6RQHT +9L8MMe/x76V3poOTy+B+HkCEnoBPS7c3Gwx9xzA5fNdn32kBMAT99UA/eMrm +RgazNm5ArU+81cZykYyE+XFew/wZC/y6SB0OQO5R8S08iGQP34mu+eil8E7w +XLn4tyOGppdJaRmm9Dm16qe3fGM2XFWv0uZw7ipJCE/aAts5ki0V8Ti/tcXL +TSGxlXEMgkZr2CDsaTSpsU6nWcitauDSxnWdPB0iKeaAXttyyPODraaaPTZ1 +tZzdUBGOGgfuF7c0M6kh2LtxepAOCAdJQZ1cTXJi+MUf3Ix3qnAcf1kSV6vb +oeQPwkocBDJ/ub/Z7L9xkOXiIMvA/rAq58pQI+Qul4o4q+AsEeOE30bYe1uE +YOE02QoVEfwpXBq/sdWKzdS+LBQzc52VPtcZvhHXucl8dX3LnK4gXz50JwUu +9zW1kzGh+s8ixoImnQOZlMjH5NZG/h5ZIX97dnBtN3dYiXxUsnzAMBDBfKM9 +WLnEuKr49seeJVRv4+KWfdzYtrchrkwta0VEKy6vbc96bUY8yOT19nKRDrcg +E//DiW2cLnCT5udKFFkWFV6eeZPTwaBOa+jhbFJpKnvGMpAThC3GELThAOfk +ziaub+UI7JdMPqsQsSM8vPitTk4aN4uMREOep1aFZmaG1Bu7wy3JOzDGJTa/ +dS44GFImYxLguzYF4y9OU8f+ahfkR+hVkq/VUOVCOabZLTqHcX58LJQMxG2N +tJA0WE5VKdLC/myf8WcJ58XGq5Pks6k9FCJDzZxfwYoKN037oiJsiRuPX/2n +saVbzBcGSRmPlwxvzwdTJJ8u9gK+Ql7AALouD9Cr0HJ8tELii/R9fPwmbyIu +kpESy3FtV44lQaMJy75yMyQFQZ+MkYxUtMotB4loh0SkIjXIypakBrmaT6eY +ONnZFcu6mu0GAZivAguBLujjL3T6NfQS9i/la8hFHmoocpG5Bmgsy2KA4bvZ +OY4YwHcuSnPlY4wG5AVGozJMgaXjAp+IBpVZqWiPDAZwKx+MVZkuyRWKRpkj +GtD+sVH8F7tZNJoF8mQdjJ/8alfiLsf8AJOMy+H8XLn01yOF4JUXn5MPEQa2 +PmQ+pSKf03080TwrHteGses5C9jEavHUX52B6pKDOS3gcBMHdxjPHEHbc/QY +pgeKPhZ/qiuVeOmfxq7ukG+O5MMOdPdlxNu/4i9CdtWbKPYocpCRBPsVcJCD +dY8ZmKx85Ca8zlmHGbjeQlrxmw6uH58Nk1FlXWms/57iejku3m9zMsRuuxQK +I65sy2knCsgUSuj09Nk1zXaYd5OkhtFv7ZYMcVn+O42mqoJ866GGUXpEJwxx +BFTEY1ZM/pfTtWt4TMuRbIMYCURM7TZSb3XWhnkxM5Fz/JXuaLA0zIe1RDpT +uBxiS5vJkMUmuSYkbiToDMXhVF9nER5h5yEO5ze2IAHA71CaQrhO3BVjPdRS +QIvq51QId8O9uERtXRvuGWud8JkcqqJrSLQSfIcmkQRbSDHAg2P4GMwM3/Rt +nhB6MGfSb6Wo8TtJjzX0Fy8KRnIcCXmpmESpFBSRqHvMNwav+ZM4U8Hba5wP +wR/nWjQz+GmVV7WFGv31jgJAXxDQX9zYZIVCedK1oVy9zQVMUzPHea6CUzMX +kw3ms1mHKLlTNNBDWBIZZG+KRDEs2dvC45UOzORKmOG05K8ONUQr5RYHhzPG +NhDuux30R9O/fEWNmAXkh1U84C7ALDSE+bBwKK1NKjwzC6YizAk0OvOQtNKO +zMMnwXt53ZLbNK6Ki01uAbsHRSHSB25R3HU7Wt4W4oc+tWsQVPND60P7h0Ym +dOAlL1CUwiLw0+mbcXWp42RwRQT9MvSzQtyWRA9xKe3BHAdgEezKVYRqH0VO +qvbRJqZqv16KdW5EjWAazGAsO6koRu17W3ycM8jX7uyrCXUasKHfZpQSH8w0 +MvxJZ5MfA2dBY0QXN3G14kimgWWglH2F3sXz7QX0GiZjf6bOVs+J6v/olU7r +m8OjboYU1N+gcI6OcdFoQ8SZxhfKGYkVTFVkAl31NEWjUhxkhIS0qGh//HPy +vuMaa+qUvC/wrdu3QMshB3x9FImsI9nKeAuQmS7rYObchqHXrCh/7W+hi3rv ++7TsBJjCpuEnxpd1G6f0geKI6WqOmM6OMBogjw4r1m0glbT9HDkG/v/L/U2O +BSEPeKjAd4wEqzRCBEGjuy907AX/ScRb2DbMd1wJeQ/U28EclwpVGemYpAtP +0k9Q6BDpev3e+3UEUUIGHTPTgd6OYzr9DtNZZG7hVb/5kPf2Cvm/DOS7Eqai +yPrJfb9fDsjD+YFWZ8hPbmvkL1P9ZPIOgNURuMis9q8PZxnMqoRg+Aj2VRb1 +KUH95OZISdy2PGjg3oaqG5TEXRnIVYdhpkiVtAxfLMW5LqkEujboO9kSZ+KA +az7kPcPB7oxb9BaqfXIJCngunabkAWJA4oDd1ZBenVb918k5EoWw0l9yEinb +R+DMR0hO/mSgJcJz0nNBHVWbIJ7H8dI9eVK3BxiC2wxlITMAynKAA6MqCFgK +UfpGPtIcJv35vlY2HwB6jFRxkyCxKHIeShzyr+FXBT8uERLEbB5zS4poPnvG +UOsHc8TYcoMEd8y0YQ4jWqfpF/1VS345UD/4q4G6iV8M1E/94VNVgShjGYto +ec6oU+xWxHO+FCLdVruZCbSySbAt8eE5HmflC044LnF9xe+xS3x1CIA7mMk5 +ev+jVx2FvbYVuaMRaHQWAuI51htmNfutOXAC6q0QlERUvy2Ee60jwedawjlh +ads54IH49XaeXFMrkgC+r84xAq1oeEyHMx2Jj61vLGrwnexHc4eOEWPn2BZJ +F+n/MR6ZwHHV64fI0V4xwwoB10SM5DmENDMspE7BLwh7Fze0uWkKbaZRAany +hcBk4JK92FXUF4JkP3xfAj1j/jZBPog1O6TP9YDA87EruwoaIEULwgHOaG8z +TuqKZU8FD91/9zT5h7JILBWoVqQ73CkxzyYfIjTeUPvUBXo+QUhHtDdU7qVQ +Nff+amtt3y+21p/41ba6c7/chtFseE4Gmx8sB/rW4kozq6MC1ZvKdU5Pw3Vk +KAKzGW5OLAa8VvHwoLA/jwF8Fy3c6NKqYGovmqsOopLBan1kgjmtRFi+tL2A +evMR69x+K3RuoZUuDWAw8P5MrYv1a7vCkjfW1ds4FSBYF5oz8lSPRZXQHC79 +rHZoDjxfW/68pjnBEdP8DUo/mecPMnx3NyS1v9ekk4tU/4LgSP6cBkVzDuCJ +5Yes5UnS3EONVTitXsGVfQUbLIJmR5FQuZN40Jno2lHDjKjdOr2lBvCXech/ +dH7dAawEP1A1wOAGCdIwvwJeFTOtATzbA2hfu77P8HUSDA5ORLfVG3pmvmFN +e3gIMQsJ3oNrGebbG9twWJmRk3WwIqE0C8eYO9WHiv60cJuIok/NvTZQs+Ta +QP3oLwn/v9hWXyXwf/s+LuzhnXSMDr8h7wH8lfeY2Xd+HZsvAV5hz/9hvmMv +CsrRnWer2YQhKcxu7scrncBlHzbuPpBpFPgT5/fc3PFlM5A8aLHwT7CzG5xZ +E2aeYRpI86fCAQ1pFIBatoMl4gaArXmO/lRN4+le285h8T2wTtOOipx4o63Z +6vgSiZRy3mCoQastcI8L9Fgc7MkkIqm0KUhAw43lgK1Dh8gBznNKD42QGIh0 +JGsYjsiBdpZpXqHZygH3TAJOY3lU0w3/63Uduh/z8gD1PSICt0dgykp3W5NK +gVIRSEazXApTwEy+12HyZcZrpTtAmCAk+IQNrz4e/GxXDyrr+K2wNDbNti/n +yppGQJFKYraf5aSw6T+TEwdhz1QYYA/gzKI0D/Yg4RiERf9jC7OekyQHV0kg +iAjQc62IxSufLtNNKxO//0+gQWZWv1/s5suEVx90xvw++JjTUZmAe55hwah3 +iJBWCsHPhV3gtHODJA8+fjPiAL/ZbmKmLB81LB+lnFYbf2FGmJxe12ykpk4q +ojXn7LVO9rVzvKjUBkkrYvLKoERwhavDHpoyWyeq0yTdOtGmcGB7hYpG+Bjm +/6foMcpORliFZPYSGDMGo+bG4tKC0y0sGFUcTIJIaJESHAzwLTRhuik48qcx +YklzbaXRjY2WA9FiMJoWLlx4+ZWvzgPs0aRupcVG9/fkFcdqu0mAEjmHJEGK +cC7iDkDXcZptMzZF4ztsef2bEBh+VRtjiRZGLBa8bnZOqiMsCyfKTfnfZeMV +Z70wp2M5ekk02HKQdORZRFLB326qCx67tRQhm0X0+Mw/gTuZnQj9KjpfSrxq +I7NXSylslM0LLGgzUlJppaROpOR8v1MqBJ95H9c3HshUiQ3RFJvrM0+saquy +glItgoL6DGTW1GcmSpUoC9sK0rAYdlgEGwAUcKzEnSTVVnYDx7kmLEI1pgQy +4W2z8Vo7m5K0ZqBD8TAdzCWmuO8yPfcGu71AKkyJ9agr+Zmc4ZWhM4zp6SQb +GJEzli2wcJSzMHzUF/ZZqkBIMo6d8m433xbd7WvgqdnjFwZbjBVJLYcJsLp8 +b+5OQSZxHJPr/do84VJF4lLHhyut/wA5KEpyhQ55hdx5sO+x4Kc7Z/GrOjkG +8fGZm/k0MGwsHL19Pg6nxHhYGocL5NcxtvBgloxKFmlyEyE90OAaFdeVPvkr +MioQkxZHWB6YldJZwgvjmdaFaZiW2ffdr87z5UXnpDAR+zEfszNabTph8bzS +4PSKmjorMjXTeNjEwAD0A5m0iAxRLGK0EQ97a2O9FZlKx7bAw7bp6zfaTalG +aQzx0jwEiVGDNStpST+7ZdnHl3XVCuzdOcf8/m/PhCFpmk5QKsKMd/K0GhH8 +E4fbNB3wbm8s3IchKB+v7rCCwsXcJCjY0Aq457AUMtVa2aQW4zpPBxEB4ewa +3Q8VGd6kCTNGFl6PcK3UOeQ0z77Tql8sKgGyd8QodjUhGnWC+FQ6eD3f38JK +v8jtQAKOjnMyzHE7ruxpD84N3MJlq3++dUGD3F7fTlLqufYcUn3kJrEv8FKb +pui6kx+t6FpDR2A2XH61gEyGOtyTEIIuEYW/I1H43IwUttbqoseCkF3BFsSx +q6XKrp41a+ZV7PlyoPvMcEXShFnoIjlYelc6uNBfz+XuWSsM1Y737aWXt3O1 +EaefUbdU5H0PwvsWOagQObi0rcA56ND71pIlqXd9NTI0S+pdC1YOUg69cjPN +599uSlRI2R/MSlG4FTMudmUSzbZLuUT8kT0m1ltqhAGsapAbPKNxWBGGpAjD +mfVh9Ag5pIvbmnmbgiy2x8wy5JH9La7d8EwJ8Sve1NiIh27Bh0Z+K2iITA03 +SqNaEjtFJfSfxGMX05cL6eDHx292aAjqLhyAK/K69Iqt6IIsj2RviYSryB9J +lDo2gEtjyUchEfEya6GPosKCvBxY159uvCc4uvrLJYjl0uFDbz0U/PP1X+DI +7o83LayPWLOIE6O/BpJ+JrCQnqLnT8iqDAcH2KKAeSHrUldsVCZ+NWCMSjsk +qTz4FYvT5e/WBbPzJZMiTvOmp2EXHBrGvMoIEBf4Dcc78N4Ql/8tNCs2S21y +deXB5BZo30PZUJyqRJwmVodJa5gQS8dgDDZP582LOJWzOKU8d/748q60SNKV +7Sbwq0xOCmj5bKuVpKTjz7tV4PDnS8WsXPxuTLh2Y6EQ+jHJ0CUZbgCU1VQl +4crbIidjVsrhzg+SeExBms5vbuECNPbb6H96nbMClLxB8VNSvHk1N/wdLuvh +7GBXTHCXB8Bsb07IEP5FwdGoCJVNqPjowwa2VjE9YjkCbWYP4Z1WOVbmXhdc +2Vng/8W9T3iZOpIdkr/g4qbmKn5rRfDz4dbg3LZbWFCG3niE89zwYn709n0w +POz+J0VyLu/uYhYHwfr53lYlceT/KKG3Dg4+nWtd+7lbGm+/QM/wYxC/iASA +4e+vIVsEe3TVWCJ6LoUUNeCnSvxUFpCM0ZkLq2qDzoYSZKdxi5nxdG1SpOO0 +CJXStVeM8Hjlgb5cTUgXP7/610auYnLgJFdbAd/RbDmECy1XGVSUZSoc4gah +sqmRda2JEjmHMJoXDFjJwYADmVC8uF4Q/enE2oaenGUvPb++OWBVu6+BE4fR +fiPEklkGQyEzG2YXF5mjesQ5HjMoMm9ljG1UJvSbkur5O/1HqbnnB5ov3Pfp +201Aa30b9n1E0Th7OJM7QiHiQqnVPLyMBUxTiRoURoceOz7NjiQpqdOoscwo +OxccLSqCupe+QJWiBJM2KP69OUsQSALudA7bfOBg4x1ymH5kMyYheC8PSDeB +OZvc2lTJV1cGv94vJqifTNCqLzNvg92BqJze8GmS/LnBL/c2lcvNcfmHa7/I +ATY6VRexkfS5Cb7zPMdmAS/i8hgnqhT2aYIeyAItoaujkYGl/2NbrUYGyiBH +SchRKcsR/4hjgZW3SiNvnpSBpmFxTQ8SM8He38UE+4SwuNWFrohxWdWfGMGC +WfQz7fexYJVZwUK3bqYpFKxyLwWD/71Yweq2Kl+OSlmOKjhggK+QmTyxvxVf +nWdlCl4RMT+ExvY1NNsIAbS7U3pO9sltQMWGBJCEvB3FUSLZF42/JSdd71+d +moULF5q+DGJwGBSebRIBIU/GE5BTKztN40bKMTW2BbWvi2tMsjHhZN5VfkNb +wgwxS/bi3REBOQHHRgUkGS8JKiDXdpuoL749uuQWOUzoD46/ZNx/Ou0KCK5m +N2WwsTJqZ94xdgY1JkA/7MyZzXewnVEx+MnAPBYgEiZ7TM0efSqC3iPZZMTj +IqFEwEQtzeg0lub/XZ878bl7bj/5F6sLbGkqgPwSIL8SyC/DTy0iAz9+qTqo +K/+90yIDzUYGbkTf+jQstkr0kFta6JuZq26p1WkjDdqfwZ5QOp0Ompubg0PP +dlXHSAObCySh9uTUzIitT2poja/gCnZOyTdDHEpYHJLsBI083eO9Db0cxrRw +c98+ztqYnGSTU4UI24Dci1odJvq93YlCOJPGJ2SNYa8H+/mLRnu7XJFALZtp +vjjMlYWHsxlHJBANU5FAeWGNnIPNQLZdyRVsRpvbAejO7tOwsclCJnl0R0Qk +mriIUESiVEAONqXYJzm4U9AI7HNxyWNzEXwYQUQL0kNmxcqEN8OU3g5KBGIG +ccLH6D3gt5dOY0a2vPZNZmRqRiAZZEZy8ttdHupiYdq38mEIWI0jxzZetzuv +zBEfrh4Y/5XlxoxcFWKGSMFiTmmQGTE+TqWNFpBEjE4N1p2j/yEdwU/X54I/ ++NxtwdL75wd/synDXK3E2phZuKY8mGJD8y97q7DvG4CdyMltY9ja1Ri2JrLi +VSz6YoSAgiVyf2TuXpzI/3YVfT9ZHiylTu/ZDfi+XLFi9sZxzeJAAo65TYNE +5hqsYJk630qvzleL28+uayGKNleCDfMgd6W+aGVZRqqKpxt/fY4OxfQ2TSB3 +CBK1x8QOIqLWElofz3it3fudbjPME5MiG2wgAcOfs5WSo4G0qUSJtCFvUy9N +UWc3OjvkruzsctsJMSYwEpE23R8Idx+JmQ5/IGdlLR0RKgk987Eza8PgQA8f +q2J4IyYXm8aXeBrO03Vy72p7H7yHBCjWFIGQiSlqcXgaLJTwtJrIbwqbszDG +QOWNDpmi53MEEo0fOBHpVP3V/noOHkyZ4EEJhKVUDM9/Wpdn4Xp+8bzgv29p +SOEwy1Unfmpw5CohIz+MuP7j+NkGswZeTaQI1VpRhe7eTf/KWE+/NqApGYw/ +VQ1ndpSXf7DJbnCCzN61fTyOxZUurqKBN7+liUuzbVzhxRmwYclIfY1miBDh +y1hJ47IxmCEprfTa0l/rwHFYrv2m1CDjxSYgjeRMpX3pq5XCsosbGuNmMOtm +wTgd3f6E7V1HGGyouNHI/Qskq/cGuzP+3NnRLH+BFXhmw1cionhtJFJW/FI3 +RDGrtu9QztpFtn1DjaZdq9ONWHzLj1hUTe8vQeVfVXksd2SPaxtJ9lQe3YhE +h2NuNOLgBOvEtvFbyC4qEYTNgnlb8fTDwXNPP8HmDVII8wapJOkELbZEEKJ3 +av1nEzUxVuyuiMHjqvq9UFgjnDgdIbs2ktUIuGPXiqLgXHZWIgUG8IzEztHN +p1j2+Md//1ZT8IV7bw9e/spNkMsMDvMFafzUKnI5sqTClmkanfs7OSPL5dbQ +otkyzfs8ufR2qDpl/pJF9HTSlcsTz1fz/sjQzSyc10nXfvRaWIny8aoONPS6 +wsk1ndPHJVhwSQZtMkoJ/qm+DmaZXAFX5fZ4OfYTJnHirbYy6QRQ2bUJrTeY +lrlCWR5hm3FzossiFaFaBodtvbUZYEa0pZLTuP7uAUkxliSfU/TQkIYdjHuI +RFfElGl4O9tN+tyDOZZKW/387EyIZaMYS0TmbWvwyk5sNp1tvkE4kceJpqa3 +mMuDfaRB92OoKuuL/dGY+lwcq4oJdZBBanZiGpAfKFanmIHnp4WhwQqxszB+ +aifBMNVOjq95EPH0YPXSu9TLQ02p4cu72y0jpZ+rRWg1HBgGLX0jWhUazE/o +YQzmPpMQdIvkJNr+CUls0oYIS4zjNsUiCrk984YJSJKY1uHALJwjOR2EdK6/ +PyyqS4ZsdJHDRi+LhJ6MsNHtZim8slJfQL39t/6FEVB80rmELY1IsYByNlOt +56WdjdYk4n96zZt8OAJaIUJ4fX8ogH7Mg+UXzqBWIeEUrCeXardDQFOO9eTe +/UcivfsDhUSVSCmE2GbaloRJMiOlreHOjOmizjSO9L/ZVu1s7awD7aSNOVFi +a/lmiaiDxJ5/u8nPHxsbbBIBScN2YUeXBrvMnD5vIOMhkt9R1gujyE2MZhsd +SfVKtMkLuLYfo4QOZ3MxBlWzyuVhVjleZjlnZiZjFA98MaLKglop4jr2rOms +PLOmDaVI+1lSh01kj4dx7SiYN5Ty4YsbyZlcbgMsCa9AG/UVb3TQkjVWiEqA +YYVYQjzVb4QokvEMzm01hjXpfKrjIZbjcJvDefEeRGCI87oqRYND5BVH03oI +WRqynZpkf9LYXQRiI4H+/qlt9VyDgRxZuY3sq7f4b143NYPrH52d4JBMlzGw +JL3lwf8cxGiHF+5JQ4T758+f7xJd3YhUia4Z/ejXwPri6u0v9od8zHY524z0 +otmlwcnlNdWAC8f70dG11imDfaMTI/CxZYAIa0qE9dIOsjjPO5UZS+cEkwON +amzPrm+xNxnp7eHsW95a05hiKNAbktt6EVFk0/T9qBkE+a20ItrklJKj1lyt +sYhgvQQ4YV4huGynVnSkbBZ6dmSvhrg8dnlYJpU8EVPAYSoBD2OPDZ5GP5rh +uG5DRDD1+4HncGW4wAnsBrGjE+vCxuePV2O04Bis3LQyWW9kcjQmwOOZ0CpH +Emzh7JYmFUsSxbA6ajhXK+/B1WffNnlpeClFfc0k4RNvtQfXhrjgneXy1/sK +wcXBuWxGEcdRM4qff7xxYfCznT3WoNNvYONKs+WYS4Kr5Jj+enCVFwppVweU +zDHsKJKJg/TQxICbF/jVtloN5uRd2fuTFaaQd/jbPYkZxiElsWtgsSslxlsX +fHVeaZBMJkcfeOAB5qz7zVfr1dT6MuZtfiZlNTpdfljqqb4Xil5RMci5d+rq +xTOybBZA0ajexa3NvE0iT/Q08gfUD4QmlXX+U7MgjhkRPZhROJ62zHZ9C8pd +D2QKTlEVMt4WmvTlTm5tzDqtfbCY9v1vh5VWdeEubWmejWY7975wm05z5dFp +Dc4m8t6umFt4C/Jp+10vfrexKpwBmwRrjSYZ1CJOQvBqrOBV3UDwLu1q5MR3 +TUw2gl36EZ5dqNkIX/o0XWGsJct9VPo8i1gdY/3IlN0p8IaIScWVGE8jkRAt +r2w9TGuPv9ANg2mN4a6u4MymOzim4xpDCCEbw+GmRK18Gplj/iPoFiJ0aHcV +Hvvmw/i50vnFNBw1A8cyxuRdoOcTv9qTG6STC/5yW6uYPAR5Fv9isBZBnpOo +EIEb2QyJqxCJ+8MXjTd78EkMdZ1iHjtY38ISl2KJ+3y3LccSYfNKc31h87Zk +K/GFbVBiQUkzxP6CVmLh37uhAHrlI72fKgsmtyGnxbiBIzS5vYnlTnFD8liw +4lcv4vcxLRSaw2xshqjK9RHUsrL4QTq9EVN7eBi9FstPW8vFI9wyDkP1bjKU +M7GfUAprnEn6MUXzFeGeRKW8CZfd0ZOIJ3zMOWIDeeCIDLFytqTgs1xOXxaS +02jXoCliHDU2sNaS09Ibi2JrGJdN2bp5bh1c31Y/TUIdAmia05MnY1J+cKis +ANbG2zkVQFBLDpc+yzNt+FKSTz4ecR5tQvy1zv+fsjeBsqu8zkRP151rvvOt +uVQaAWELsGNwDAiDsQgYg8G2xCjMYAECNJfm0lRVqlINGgCBsS1s07DczbL6 +0b1a4TWdipO09OIorddaThSlO64OiaJOpzoKSoiQwD7v//a////s/9xTip/W +uldV55x7q+re++3h29/eGwAMez1EksbrbXj2IcfrFfinAbsmLjYAxOMpClWP +Uc9jAIh4mPinNR3gg/fDGh3AZ28/p49HVOqIwNPWw8OEjwLfWyqFhO/zWoPM +MQbc4SvOI/Wx1x7VY8fV/+olM3HoTIbn3/Y1+XMDedc+/To7SmCG5xf5l/C0 +Hh8pITraUajwSgH2wLEu4vM4h2N6lnXCiCfNEHPaR6GhHD/FNRAYBZRKvq8/ +f3g0xi6eNWhedlNaQS9r+ldJQYjP39svBFrAo5uoDYk+oC/naxnPCrv+288H +fCsMgMJ4MiB2EzY1tWMXVnRC6PVirl6A2qSUuABVy6lhDLg0xG5ADkmNctwF +dZpBjb0BAKIUmCl3SzuYGoRrRWoqyCF8bCLTVh6oQhFwgwC1YYXczsiXmo9V +g1qn9dNhWpc2k5fxr/WXQTYxSBzdXh9B4ZJU2cC7KRRPckllP4nFGG1wpjj/ +L6WYKpZNC68K7ym9KgRh8Ko/27mAvGolFFgTQzRQnhsRzWaiL53Nvyjx0fvz +F9TtlLqN+/sLS9X/C/xxW0XpVmiUVRRiZIuW7okxjJV3pT9ZeVv1OhoYzwaM +VYJDWP7zdVbvgufeq19UR83MWF6oT+GTYCRh6vF07BRjN7D/Map6xhZ64p9Z +9O3pYr98AqS1B9mceNqCpw+zTzc3s7bArN54XdsPPASloEBJcyuhnT5vZUY7 +nDd0wuZDB6ap1aI9EUK7QRbnrXU4nefcdmqkSMeN8hi5rjrTLjsTZEMoRQEv +dCKnpWGrTQz4MwOhgWEDJfI4Wq3dHIxbTVYtA+HtURRqh8kmkeliVMt45OOh +I+XZMQ1CTAovTu2f9l00q59ezhHFBKzniAzGi6XykTefrQJ7ypZ0YtFePCOw +LiUOwHp9oN6OTUS4cq21ZqxnQ2EsYtNrBLJAIwHzdslSwpUkcLqaCjnuI1s+ +X+W4cQyOuzNEI9FMmZHi3OjgOR26mmONHu20kRccVrdedVvojztVmgVfX3il +1oYONsFpU/xMGG8xblo57Y+CmyZ540hg6Y/8v59rs0jPMtJPrmrwmwNVz7h+ +SXt5tKRE+s36FOyBIXDVy0TH+iSgifOL6RNL5YkYv12McvkEloPGP81mxo/x +xk6zVuSHGtlVU1t7F8EUZ+u4PewVvLjvrOoKivOrutotqC2eu4NK6INAfomC +dZ0RxyFoCFTcz3THLJh5sB/aV/E228rQqg7qrKANiCEVuHLgKQvhRh4GC7bK +xNB4AmKsRnOktssId224JjO5qS1UC3LGKOs5OLqRqD7YmzgtGTXhH8ySz26m +e6A3T+OsDTfMRhGLsfPdbDSjPHWC67RhT82SCYqxtLiVGjfCAD7mQ52lb0ia +9xGV+jxXc57tBqOxD1bbYZ3ALkWxTkbWqLy5hTEwCFf94w1ftK4a/+N7uOoP +xtp0AC2iBKTb86Lj7zRfCmNiMvMOE3XvzyP4gH9GjiH8c9IUbYht+sPV+rH/ +/un2ekvsUtyd4oD6/K6s33uPttA/faG1w8JWvf27QUH9zba8/58Uph+5qd2v +qamhjbcMYEfR7QA4bdu3PR0Mm/B6oaddeBR049NhmrceXi8wjdskP1cNtaUn +QWMdE6cN3MV+IasL/EEAc0e1NHhvrX/hxRyRLkURrhtvAcEFwsqO6TwRwbxM +lFizCNLBhVk1+TbqSDCD3JJOhdcIbCfWtpOetl4E6c6wt20VYjt1S4iZ/mwG ++kiNhgrnac5Je1DlTQDBVQ245elWvmtRVL0FfL0J0kemJcHOAYANDuBnhABf +otOZoL5bT0mRnd3QR/k4jf6MiM2B+GLQL6JC8e9UIR6uzSK+wIg3BSFks3Pp +mPKSYwXNcz06Cw3OjpriHua5+jB/ah/tg9nN+ftvXUWPxE+4tLfk/2L3bP+9 +rVpECA9OWvTV2oOfHpg3BxfGIvivKyLCdIN9aZ84yp8MO2/6Y3Wp54Ly2xcH +mw5/xLyXEVH8w86sP8b++d3lbXS4y1JfDcIUPHOnDuT+eG2liMNNMAV1bAr+ +sT/r/3x92f/h411kM5TPsOnL1xZ+yn/2yz1gqhESj+m3wBGks4W4Sf/CC0NI +rgTvHA2AkOfob9Qu/4R+3mrzkDghHnTEeZCXWCrOnTPneNadKTvTd4emMQyH +ltbDMFDtssA8EvqY5GwFGAqtLbe2AX7OiVKHyxjNjRAiUICAmjP+BAbk/DgN +jDYTYLSBUAGCdfbUbtxfjluNlqwgO/PxxrVwQVuJOFuJM/1FZz4YAH66r0xG +pCOY/JUgXYed6qUsAvg5zaATjUccHwZhGLYdT8gNzJQ/NNgwvz7QTR5TZ8Kj +K94yeX1mGpOB+vHUGCaUssloofcgDWNMuZB5gWVtSsVkNOtC941ZST6Xiw9T +MO9YB20JAHly7Tuwk5gOA/IwEGgKCos41NUKnTAQKbo640/0zvLvuP2L/van +bq+OA3Zg4mgHVvftkzwczNEV5qe5sXyKbYFVO6qQIxfEAcc4T19M2+Bd9m3e +xYGGZR/uajr4kYoFlFHwMhzDf6AMwjr2+r/7QmuLtQUlYQsghfzSby7wJzcX +6q0taCJbELdhwd4HZ+JCmeY8qR6Hw++p03+/E7r2S7thi15UzpVdNu8IdMX6 +jn2ITwjIwrVzHeuwOAxU1+u/dl4UwLVTio+Lc/jh+gWyA/homYPm7yijt90A +Bve6J4p0CZH8HcRdcZbQE/LP7yvaLdTm06uQT+KwAP4NIRKPPF8wbcCMI0hC +UULFaus/tUaz1jbdZKaRean4n2o53DeqN6xUTRvoL1K+0MUpP2TNADYAbzi8 +4+tb0tyHtleGCLZKDh5vBXg85gEb3CY2flrYDHW7oG4HKRjpC4bgH6TCGcE/ +wUbg/L6CehlnOi+jMgJt1giYCO10f4uNVjhj0LRgUcP/VERtDCbIdl6UuK8W +jX9w61Qb6y93MCCVJSBPjB6mEA0PhSuJQvrLSb4ascD7QzNNLGBbo1UocOed +d/obHvgcLrk2ZHGIiOsvXyGe5J1NnAsMzDPPjbQE6QeJSEaKNSxA20f1MB0X +oOSOfIDTgco/DddZuu6Cjgvg/huEJVjxlXnGEjThcBqWoEtYAjj3u278tP8/ +NxdqcLgZliDPluDPNxVtRLD4VrvICI5j5d3z/B8/2eX/yfpyWhkBeIAttwVa +sBF+K2SrARuBGzWsERRc8II0gj4ubAkWClhPWEsQXyYOHzQP8eLdnhtSsBEw +QwmJh/iu/qFVRuDgg3W6bZLMQFYQe8bd0PYFlRckuJxLZgAaM/gk9/ML3Eoz +UC+iAEeRNkTqr5dyKTNsQQxiMAW6qT00GkabgXSEjgz/W41ZjM2AXCJjZdxj +6GszZkCzenbaG4b9DJOAg+Avfb45r1k9FnfX2xXBNdw1QYLtvcT07Y1k+nS9 +7mXqgiJG9PzeEPpVCjU1WuwB+uklJM2KeomAftkHAVrGCOPxkitzDSv4Sl4X +8WjhRtgajFPzKluDMluDqd1BE975PYUKHa4la0AE/n3u+lKawfMQE/h7ikmO +Bj4YbSNW4CcbRbe3iAbODtMy4qpo4DphIKxubE/xSr705/2cLWz6gpfkY8p+ +0G+0/CtXkryXIoR9+QllFfrU736PP15Vn6M5oKjPKfMwCYtQEHYBmmuSkK6p +JG2EMAcGIMbE3t/05ckwoCXp/+xQVlkdLpJdqIfT9/9JZQz/z+oWCgdgDKDk +Nq/X4luv9ocXz/L/47MdKkxQb6c2EE99LmVmaHl79LvjtE04BiIuM4Uj9hNF +VT9jNy4YI1CnHwKb0s03HNd6car4y8v1Hnar/6by4ne0Te1m0yINhH/hpVyt +tRHNbCNItMYpwqtPzqTPIokg08JGgNM3TQcIG1T40OTaiDpmDEOjIOlwTYR5 +wDVIGFTiULDmIcW0IdBvn+T5zulGZ7PyDUFtLm8JBM9dwUb1whUUr9CoPBQI +qcB3s1Cu8ai8jBsdxCJaqbSBiR00KYKwEawKz/kHHpvpmZ5g9TXZCViMZm7T +ZOuQ5HcASZrTJbW2U0v1IwI5jHJpDFQAsbPq3k5Dddo22FK0cGcn4iqq+Sng +0f5dMIgqlsDgAJCuxsHL3kRkYCBolWXxEmxaLu0tqtChx9IIG559UNAIN6hI +YK7/4Vg5xT8WwQeeTuUe+ilMVgETZX6fq6KzigRfaksYj85iM0Q244R6Nl39 +G5+2+oeMotWYC8Ed/NnGYtyWABpMsW9jkUICJBX/CHmLMhIJSgzi/n/fVKJk +YdfXZ8MqWJ2Ryj1gNL63dAaMSI4MRNz/x13N/pfn0KA9RP3D7EM4mo+wEb3C +RgwGEYHkC6ACqOjDkkLsDuyAIzN/xbUDZGmaa/+VP/i1WtiBJmsHGsUnDfi3 +Jf/N7cCDkdglqZvL1PZgwkEcXHyxQCq7mLUDGZEymKuB09M7K545hwEzUgeE +dKLVGoGESBWc2ZkqRkiKZpKI+eExW1/IWz06qHqV7DuDlXfRYOXI6Wa4TgUK +9dYSNNrwQA/bjJ1T90td6NMaoLeuvfbaC3uXzgLcW/BSlG0WwCA3NVYD8iRX +aRCmYcoMm+Ast+m8yhOd+vxXdSzCtMCgvxfVTeyU1OtWcxVGG9pK9R8x12sU +CQNAjLZuwRziMs0czsDDkjwP4YPRVhUKzLehgG3I33CLf3T7NYC+Vx9KRWgw +QH+pDYcrEZg18A4lDBre8cl9j86e+PqtV/eqyOFyZCG4gZIN/dUriuIeIv9H +vnSV4QC8bhv6J8nFx/xjyrXDpT975xUYm7JbnVCIriGgJpTzz/n/dW3F/9Hj +3ZQcqCsdutA4f5UdZNn5f7w76388RDd8N0R472/25xZjRvLDeHc6Qm5x8G6J +O09Lfhjvh0KHGe+TXiTel0qd+ssa782eqPcLvBcs3hsiiv7U26BygxTThjJv +oPqV8kAK6q0u1NMMZ/RuWkqPycG46ExRYUAgEYLLXt1Bp9ss5OMM+ZNbWuhK +SQ6axs1wGzWPUSdigbxNIRiVXosVMUHhUnn7sM4P09tUJNBo84E6XrstSAC9 +tRW19mpfP49EZS/rfKDDot3IkU9uD9BOQwbWd3gx6fNNnxgZNwV9vPqatI2d +ozyAf5ydQjBcvGAg3073MYpatByvhyIXYBIDHCZWt5PfjaIB1ctwuq8C48cz +H6o9up0uwB4dYbzy6NlQyqFrC2gt1S99ODmYT8fSMgtAfXNQ3QwPKKamgQak +kiDRgCosB8azFu51nOlP7cjZTF/hvWw5v2aG+09XaAu45b45sFAM9yT75bPb +CsqLt1Os/2Q1IwgvjtMq1PcaIuBez3D/H+ub5BScIf0eOR0lLtxlqXFRAPeD +4jAEtmU2fV6QGfjmasa82W9MuvkXIzBvlADn9uZaLObrzZTMtZ021ocU7SKt +ZajmCqiCtapLU4YkGkDKi8rzyznd+FnvcIIUY6/G8pJcVS8aiIKTJMGWiK/h +4QhhPhBOPVQaxDWNliLMyy4WOG880rBqUAGoT3/OOu+0dd5ljeULKsx/a9s3 +52DeTrUsXmF5BssfiN47ub0lBON269Njwnnb8TsvdPMkxnH/lYgF9/ty1m93 +MIgPPaFFaEhR4gziye1lMlBI3+UMHWW3KHtXuJ8aLCboauWyR5TL3skue4UY +XNB7m390m3LZu3vAF9BPwzObqBuDK/WE8SzD1wTrKjZnpj91St0bym7hv9/8 +BQhMUS0DIeY16M8r+DutZ9+tXPVu5ap3Y+GuEd7ELYoLjOIznJIzihstistA +rOHiEW7jhVdgRdspARhhuPHVIgyHSRBEXm0EdovssP/g2QasraHROgxcp03F +Ba6MtK8PgCvp+gC4Dq8H0R8TeGbnMsUCWq1vVbh2dFzvHQqz+/QSsA4LXCKF +ABPlLuSYEvQRS8ByRJmJwCuV6TAfS5B3CKcdPcBQqdFKe1rE3hLjcI3TfXNZ +d8GFYo4dLlLu8IhU8O92fKMm6LIWmgkLTYPm0GzuU8ouLAx6rgPFvELpLKYc +iIo/uqmN2DSBUt3vaWJv8+pZVeIe6qQFTvGsFqcszNL5M+O0i+7rLTbwNyKg +ADad8da3XU0hNpzv+eGChrL6II4X/bNDXeRcD60Lim0A6pHNyrnuUs51tGxc +OsIWHTbPpF1ferB5g+DZDPc/tRujLgm20qzU0r3l1FCBt5yaNkPU+dHH03Xw +sTd8lJTCc+rsEadWY7ssSZbTwShWyLXEmvLLCYviElAcB4oNow7I4s9SDtZL +0LE6Cr0N76aCc4d3e/T2+ZJ385IRgO5kQP+Hb9XbeSfciu20wriAlhm10dKr +w33iML5mon6CEYob/Lam9Yl9P+u5JsCA3VkjrfXCySqwr7gt7Z8dySZ5sQeD +PSOib9NLY7yxAndjBLhrCNwxAjdzdMHcLpVhwxnjipz1vrR3V3mNk1tbLLrx +OUY4/ebT3c6irbKdOFmQfTPg3VGWk8V55ZNqIsg3JtfAfHGcXRMRZ5fZhkwz +aVwW5MQQBgylmjQh+FzusLUGwUxvNQaB5PhJbtQ9vjXIDlSc06RtwUHcm39R +Prud/fPFUc2bwVgpTyrDSMATLh1AVpexS8+QHTBOet+qu4OpCcom/LTvM+Sk +e0IhgTIl0NTuzdEe5FpR6BfankqEEYjp3/OUun9L3ZapV3yBet3q+HVTIeQp +U09i3ZoNvwe/MXPyqzd/ihJrhedGS6ern/w/GfDgx/7PDvULGY8dA9Y195Xy +X35Y5wDArmbN2g1r5k1Dm8Ui4D2HY+1P1Pcv66r8MgPzUDfN9C57QTTCey3C +kzIRR/y8lB+hXUES38rsG6hvDsDu7MMeC8AOg3A2FotBjeh/dnYzwF5nwd7K +/ZI0vj7MCwm1rvZRAeI1iVzreHLqmHmih4T2oX0ARYv5RsJ8ynaOOwH2qg7a +UWm22aPF1bBuUPmBdau4diAt7EC4i1XBNSnKc+Y0/gfr1mTtQEVsrplutLre +QBA7W024Ucw+TuB/CUy2uqckHODf2OaMbgb4izI3h+jJ6VEYpilJpg82tiAi +JFDOsfusgVeLMANw9w6zlgyYNQVj/DVUqd9VirElQDQAxIejATBjsBAqGoA1 +2+uy5xVtHbKW6GuzRF+rKa7vy4+rSxbzqBpRQVt6bOPV/vDz95za9OySc3+9 +o92rYUT/8VqeXKT8r0L8fBymApl6mX7eWzbEGanqcDSIz1s4IDdeHEhWV8ck +d7aEubMN5VkAcyOwrH73rbq8Tvq4Af3yjvPAowg4S43NQm/aCFzDmXR95rD6 +K+lS/LATfIMHZvnuOc9sMjB4pgm0WvWTMU3nQZfczWnlL2foj9VvzcdoO6/B +9d/qc4i4XHoeJNym98sIdIFyhXovZ9HtEafmG1/WyOVllTVHtcua6jOSbWkK +cKkyA0HDTVp02BllliHLT2+vpBjxxzcFAycM6dZiZ+QiyMwa147M08z4NK5d +F8TidM761Oc6G+2m2hY2F1ODharOPAWfjAY5rjxSpbvD4J+XNMgbecsugRyd +xBLkCvQe9SmVKASIo2ExGEe1sisRcG+xwxFufhmV+BjfRZGG468iLu22y3Jp +yiqrjNy/e+ECf/U3P0deHvSZ8fKvrbnDePn5wnhY8nxXaY5NxklSyxthn+2i +7UWcACTOcTKOqH4R9UGp16oxwPmCSyp8V2H7IQXQE+DDariy9U8Def/dDb/h +v7DsMf/nfbMN/I+tapHwn6k9/kWk7AF5jvcT5HmzxX6HSMaFd5dhEIwGGDX8 +Fe893+51wwCUyADAZjT7X70qYTbr9Ou3wGm1cW2AFNRNw5YvtjbAEdIiGMDP +UR8/+iEnJOhZXOtsN9fUvTtzwsB/cne2RsxVtu3u2En2SgEfULYGZikmltKY +Qf/kijZ0BK4/4ZR9qINkf1EbhY4Io5AWXXgwBI4PX9ORZmBM9IrdDSouUAkA +wmu2CDG2CBNr26t6bs8MlmrZIpg4wQYTqzrQcMMWIRdS8jvV+BUdjSINMEU3 +GlDaV/bqrcC/NSKGEN179YFRQOS/QhiFQL9v8pom/tvly2KMQn1A5yVIsms8 +v5moZRSPr+R1AT9sGYzXJ9hmhWUwJMA0BJ3CdFx4fBBxIOSMx1/60GL/wfvv +sh7/Gn5mWBES9KhX7PwwOu8pEOCZzKjUcWHPKYHbBht2+lQCvzjQPHhxd3ZC +IfbCxd1NXorFcArf/v+7dZ6/5dkl/ptrFmobEUNnDf0IZQy8VpvLN4R49d57 +5vITUdAPS0DWoMtk9QO5adU0Jij4d093IihQ1kmH+B+qxxgG4H9sLpVxuAxb +kfY/GSaDMdDs39wTN+U1nojotPa4BkNGB8sCgyFjieutwahb6LmpwTz+/wgb +EJifQTY93H7r7offfXmjYabhKiNBq9csibe1HYnxa3maT23mN6BzRG4HQR0+ +xQbFhBKmC4WZgeJ0kURMGI03n+12OHllKeoYODgNY2Hwjp0UNE28dZr2HzYK +TWwvZAs/desOlnQ+EYzab2CjgR3HTuEe5fYdJWr/aWLLARrATlVV9gCpAEUZ +8cBypKyy33YPKvDBJePqpmAQHan5FkZU794y2UORFYyRTc5cvchzMwTFFqgC +4DxuRze1IXfI6amakbHFYi0fwpYMajgaJ+mNcv+nt1YoSaiS3ijsI1DCKgFl +A8gM4pGXxor+6f65lCnY6GL5Evr6p1spuqCfg54I/drN8ehINoL9vy46DtF1 +xMRZ9ZYdVi+cijToxRORRtIhCpVhmVTWwDB+6kVXJkcbiIz/DwNFf8/z99Dt +7M42sjzGkKz8yjwyPFmrwCmzWfk9dYXh/XvIrCT9S5oVgHmgnGLXN5yQw/IJ +j83wf39lm//3u5BaB9YFfCKUPe9vLTbaSCTH1uXMlia/O1tzjCOCnfpdu0dG +Ba51WSHsxaHAusiSXbe1LqTlk1e3sBtjMRCtcRq8vAHB2t98UszUNvPrEXpg +NTyVDWiRsBnaLRermgr/yZ2tZpSEbF41wuCSa0VyhlS0UjZuEBY5ipYEWxUB +S4JpYnpxGtMBOzHZX66RS3ARjjgLp/bq7RPafsRl+yB22zhz6/RuGzpdHyIg +TWvA0XVtxItri2Aij7AOEKhT9qTA6QxHHiHOEfO6J01GUjEah+jBCK2yRjGl +sGsSNT0Ku8BNBDQ1JGwzJrTcUNuMDN3X+hdH8v7x9a20Ah5D46XNMISDOh/n +ByHsOLFjvhN2DL5wv/+TDTf7P9v+af/DkTI1PVDGsZwn+zzWA8tAx2BGqBbx +yExttuawyVA2KWAgR/MxU3LYmzumboaD6A5kvHHQizRe7qPBpmMXB5uoOOiR +QhegZ+YQ9/WwHz5bFLr906DOXdY8/Yj/R1uuomOiyp/Ek8SqjMhFHZcY80H0 +4uFl+o98+eEeFeGoY3EyEXVkIk6sq5D5iJQAB0yGeiW0Wflf2wsU0OCmzErC +mpUyzErc/+UwfuSfrGm01UY2LAtlP5FrWBYIU3HCequ4bBxCWZGlAMbeIKox +VsX0CqC+w4nV5cKS7xbItOgAJW73wlLSvAbzK9mqJC5jVSaHKmYVgJnKyKXw +imw1PL2rxRnwDqnh1GgxLxL6YHRmJx1tC3YEBw2GcvTemd0l6jxoEnmLs1tr +PbECvOMkIRsMZanBDLpVsQm1GdUJAtOMqDUEZs80U0dQqlDHyiLwmFT3AIIM +PHQbwUsi8EAks9/tneSKLJ3tZqEVBR4wMrb5eGtrTNuPIxGTBHTrENsPDfI4 +2Q/EFLAfgs+gWXlsPlRIEmPzYaINVClNtAGxL8mC1LH3B0kJOO6IGF7osObD +mBRliaX5SJooZPL1J2foEGMvVScEX7noo8FGlboEYoIGYy/IJmhUZ+g+Td// +Sd8cnc6sXUj24j+xdGB48SyiMjK2LEnxiZHygbQ0ZUlzzEQaQHlCYP2959v9 +fSqpiSA6ZNSR44f81VatJQYJ8s8DKgNVlqEJlqHIluF3vt1g15/sCMA7GRly +kCRIVhwXErL1Oy6TnYOBeTB7t88K84BeRtspsDPCPOC29PMpmIcMzAOtJYxx +5HH+xaLf9wBPGfjKVRR5FK2NCJkHCu71xmq5nsDM6DRa9hbZlAhmHoypYfZY +1UADsfMiVzE5PAnnhku6H4esRS1bi6k9RbIEoX7E+qAaorMWszAMlCiylqSN +OnQjUoIESM6Ek5Ud1IrLG8UTDu+JeAL5R8dlihuITKYGC1Tez8a0qTis7qO6 +CU4YU5EVckpMKA2JN0iJ2cVqD5p2jThNNh3jZVOnF9HT6B9whFgNthE1bCPO +7CyRjRhY7HCe+MVBdgDUwkZMDbdHhhg/Xn8LhRgf7GmlbmyqZSzmDZXrW62N +MA2cGMCGqlBuRhBLQHUJpTPkCwu+vnCBQ3Ry+nFIwRpqQa8QEVBkOKz4YKDk +v7jyTpWF3Ouf3dVOlKXJL1qtTWhl/IvyJYckrk3IsGVAzKDiAZI2rL+3etAA +jv2bp7pwTRMekuHqx5+qxyxU8cXyO69QIZ2xCp1sFb7/jTojQfC267cJqqGz +IavA/ceypokogCcJdHuufpAIT/3qOVQqPm5aYUzZDgwD/mdzRDxq2CjgXeKg +wViF49uD/T8HnphFVGgJ50rGKhws+G8+NyOYQ4CkZbRcFpOunMmhLxU8mqsh +R2mZOUWmZqesQtpkKloSFDTYgJ7d1mIxiaa8iwc4pyEjkRBNy+Fxospw0Aan +BjIScRpOZuOSFzqppFIOrZuxv5iKyfUu2xzq9kHZBGYAAYLtVd7Q4lkCdEfE +KBOeh9ImTASSkWUR0cQy/4DKSGjnm7qvEzPG0Xlk0yQh8pohLCkiCo6WTv3+ +hjY2DcmFJnxwiM6bXKLzwdk0AVVZjBoRMvxiYBaFByh5OCNG1DEVTuCjYYMR +O8ZgO/ZrRh3GGFa8aUbOcEjIGey+Ze4eVgHDhLICFDC0RQQMKb7/cLBgE4pj +mz9lxUlIC8gUNGpNg/pqJhsAOH78Rr+3EnYqSBpMUBClX8JxnEdUUIfH5NgC +IFTARVvvm6M+sAr8cxn8fV+iwijRjNv4HV66dOmFSPCT6leGBGaeCI8aud5z +lQs0FKmpOmJYqG4ZIWlYxk0FtK9wW4QlWPwbKf/ULhLHc3zgETVB9Ca2tRp6 +UxmGFr0EIbADOH/7jQukHUjgdFGECHIHOchPGr2TmsYYUK49WGmIMAaN4nMO +8tNmBaZW2MZgCbclYsK3SjdKDCibWjjNSIPU+mzmDidpYuF0HUnEYLQFQwuj +W5fzjHbKTxB2RIxBCFb4xgN2c0GENuIQ9vLo3VnqPiHMgmnltA3LI8VSoJ/Q +UrKn7rpq6Rc/v4AdSgZi6VPgR6oEjyqTIJZyqODVhGIC0AzOaBGOCdR5mt5m +0I7nRaSs7Ig0Anh6PkymqBBEBghckDVYYaOIDK7/56FGS0x+RJIFdV/PNY6L +omKR5Ps/3z6LcocfrrnVf+XRWcYUkEwxASMwKyIKiAtyEZ4eL8gfrm5Ji+AA +VCVMi4J5tPZJZQ0qOKCHFGEaksRHxvz//IKOTw4+0qOslTp2NexDjf+rPfiJ +/6winG9fn7rA0GU74bQaLdR24mb9mZDtx0blBDDTgFHWQkx6phpqI4WYFDN7 +pL9iC2FaEKjXQW+NS6L8ahIOYyF8/3uYAW6MhGYukTdY8I/RmNHXeHNDEtbA +rjcTFqJW1lQRLhj6k/MLnOmQnYpRRuLMcDkfYSTqQzymdZbDlAyQoOCl8OoA +EmOs6EQ0TvoqUzeFptKGHSqYAI9J5xpE2yIsjYw4lOFIWyMBNV82Pk0Xs8ok +dAWVrAACkLEcFNluWQYNE2MkBOZuqHgQQJiRJnJg8QljKZKmS1v8pWYVn/pL +qbujRRuJyY/2h8sctYv+ZmdR0pCEYsQQiAreH+zx39vyOUQFethIzAkKZjDw +pwZ01gzwK5tybegwEY4jebIHjYE9OMWsIzcCO6zjPWf68odv+/yCE//hmfaC +ZQnrTGcQDADigVdX3eEPPHefv2uJDkR//GTXbF3OuAThklunxAUK3bFfIxCQ +7OH7W4vabhRt2I+I/zHNQfzbb3d5VwLocf+Xe9SbFKD95pl21H+fftsmZacR +o13/R1PHjKtWHyE6dowfTf+agusi0W2aFWgJwGZtWB10L5qf9I9tgjTc4LuG +8X3x1UKYQoRk9jUeeZl0dkPQJAGF9am9pSbeWE0cIjQTYp0ojcltFVPxUfo0 +9CPhfxiZBCkkafquE9paMfPKTi2gyHLLYlhaZTfatQXCKe30oYmWfGJ9MMbE +7UmkgQYKjKZbiQiEVnbnUDpjplmoCznGIilb2pCUIpdGg/13icDlR/GKyAQu +2EzASzlxjTBZLBlX13TjS60qjUFSEYJ0na1CqDze+nRoFcmnP6d8eq/y6ds+ +7Z/d3YUR/WOkjdhWJrAiG1JgRV9lbi7n+7IASbxD2pQb9+YMFxgqN9bqRuDB +5j6F28MKtucople4+Ed3LGgFBwsR9H9M4Px3Nl5HIqgnvnYzPe6959rbLc5J +eIALuWIIT40UfppiI5CL4aW6u0hBmoL5NAfz+x/SKcMfqJShBcdS/q+GsyWB +63kl4ujgd3n3KsoC15tGJMa1DvpThqUDXwg8I90H2UdDijT9S6PDjdDRqz3h +RfckbNSYXuSJUaQL5yYI03XAdFFiemp/yXJ+kD2e3t2C3Pa1MJztlNuDBWo1 +zkZsUCO6bqSM4poZXepi2nKGe8rUXddigW2UClOjofniwxSGByOKolZV1lsp +QypE/VlqUEXzDUFbop40AhVeqBWxEAK2O+BYob9WeGY8Xv4qyA6mdhdAiDGg +kxrQdtxgAOiU7i9Wnvn0jordyGf+oBgveSd2kL03FUK6eCYbBfLqtTn7x1tb +aDqIWGmIztG+jc88RBm6nd6xSjnjTcoZ75rrf7infBVhOeYf79V1tg1fm+ct +wLFYRG0QIk+ow81ZB82I0dG8LH3yso8Gmw5eGmqCRNGIkqAwNr71pytae7SD +VjCu4059hOm9Tz/g33vvvf5vfu46//dWtKmMyUC3XQTewKSo5Hly2tce5YuP +KF/8V1uLOQvZZoIsehVz/qq7dXT233orzRa1XYzaX2wkpQCwBzxu0eg6Ylrw +BWrXBacsd6eX8dBQUQu863vi/pGVjRCssDOFs/hu3j/Z3+ov+TKzYo/M8c+/ +VGxlwk2FzRaSJADq7UQYHSiITu4Mhn5icbfCoJcIRv5UY46H06dtvc7BHAT1 +9iOu8uiLtJPedgIHPf62kq4+9BPr2rMWdomQrtC65Rc6PbMGZGpYM/ZSJzCx +pp0qd9Sp3kLQShC0kA0bQJzcXPGSobGhUmKsYFsMI+6C5padWHj9sruuvPCV +hRphzfi1Z+IPoCRAGQcRFR9WN7m6F/2jZnXvhUe+ebf/O5uu8d8f6IGoj2B0 +dE2Aluv42NtP89jcp7vAVIxRLDuWO6Zu4wpFcPACN5rl0oq+piMXh5rO6QFW +1eD5r2srFRymwlhOyGf+eXfB//7q2/1HHnnEX/iF66HSq7X46RaVrv8crnSl +6IlXscsDfUUxugptz+3CTGSDoxaBoyfvuJIc5V/3FckjJoGjuYwjf0/Wn1hG +9a+3AhxBy7fU9PRIHJEuv1e/DqC1joTRU7Bui6LQIkWhCz+v9XHvrO3yyJsV +BX6QWVq3tbLbowo4gahROC60yEsmKh205E4LIurSCyLSjIhIDSFLq+G2tHLu +mZq2ax4jc0oWRHEGEYDiNOgo3yWV/nJGBvs20uJ1kGvjRrF95IRoqCTRUSr0 +tON9QUftoYYgwpTCVxQTVbGYSkXo7LjEhAEPum/3RRLlkQd+KUf+q5OsRxMB +a9M3r/BvvPFG/4477vDvv//+s8889dgFsWkX1hX5yKIf8WIeii3V73htCEyH +Hp9hAYalzlRbWtOGEGGMGOSxHEptIQZZSuffUqhRfonWtqMGagCWkwCjAbPw +XNlOlsL/zqbr/Kef/JZ/1x1fAqlDZNFM4ZNQ9XljmkoRCCKEmeqaOCvk/2Jz +KageD6rXSx3OAmIzGGIf9OeJhMdNQSwBdF0JdCUALnzedqvQYWPZf2Jhq+2O +1dmc22zj+itHCr8mAnELOuP+4eWNKNt+D4EeIe7MeMWtC49TjPddrHShQBGF +Y5SG8PIh/Ec16OIrhYwFXYOoBYHcsXhS0SJtRElcHnR5F3RpQeqYMYs0mGZv +QUeLIUksxZ3giIZK7cxyGK18Aklf4P5UMghSJ854Q/OcDM74PMGxPQJvVDiG +koul82aebuTUizFNGUuMEYfzR+tarr/22muN39JtsBwFkqUgvT8GQ+xr9f9w +59X+2HO3+UuWLPEff/xxPRhiw23jr667k0aIaIY3/pZCBkV7nJ2FQTSxqp3B +Fgfw/NVf5RLNNkTqxnlNKFzpoG9ETnGMC+cFOXoWDirLsMJHHI7izzeVGizb +Sj5Jd4r7f72z09/wzIP+E0vu9v9iS8XrAqxqCCh1/t8Kf4Vnwu9kDBW+x3Gc +P0eC0E/ogZSe/WxNiy3DNuLYTCCLcIQq+DYmnJQX+2h3TiCr1p/aWfAnXmj3 +D6gED+cXCrrnzs92Yro8ErVN+t1xulpcsPlSQr5Kgw2lWluindcS8w8/14hP +2/cxe+l7hTwj7viO9gACKjq8+CpFeN+FcyLEmVqM0T+8+u2ZONZoEVcXKrgI +ysWrM2qvaLCRrKvEI1AOcoAUcC52HsyaDs2g8qBUCMytHEMzrJgemeuwiNOx +IEWJmCVtXeWm1uidx6s6GqcDWk5wKqZhzbxJKi/rCnEqCbnLcVI9gPgV0XAy +6L+UJ26lk4vDL5Eg+0DRPzvW5b+37XP+ofW3+ztf+IYPhQ3AtvLhL/nHdsz3 +P9xPcDyrbpSJacAl9UAnBTrcEB+SDfr6XAkyq5jobdWHk3R4yW1Xn1p251UH +/bG8cWRmiy9klhf7Gw9eGqTkivQQNRGUSFF0bxqm479vKs3DYfJdGY4HETSu +Wno3ZV7/q7+9hMMJwl4CsqZp/RrAg4AR59Q19JBahp6tf96PEU3q2CwbIGra +M+afXF/R6LzrCq8Nx5qkW9tU9t98stvfoH7mElFYwc9c/dV5/qFvzfBPbqgo +TzCC51pxoy2WMPfhdo4wKNfqU4jr7bDllRqUzqYFgPKtZQ3wIwzKrBN4BhHj +u+upe8/IKzUo4frsxgCVmynXmLegrI0gTXjRiG0BCQOW3WSHC8oEgxIyIKc/ +1KilaK5riYAoi4HqWCYEyhhFlTzfzWrBqbypjsMP5nFP/WFNwr/pCc5C8Kl8 +HCgRMdeVYNgSSCan3b5YM71MCkSJLmEcoOFNL/Ke9TpC54mB+f5PNt/s71ut +Ry70PvOAf9999/mLFi2igBODylWqyuPqYivwB5t/mgRNDSqc+QapuKHgabI5 +CVcEpewTPxX4RPzOvTxQuvvg0m452Ri0Zu/HQ02G1vSSwVYjF7A5AViaf6Ze +n7/cUuyygM2JBO6xr91Kwejvb76GShdpdpYArHSW0nMhX9unPBqKj+dIx/gJ +ao6sVeSK5P6HZir3a/xkjsH6X1ZpPPd/c7ZXCsBa518cUi/WCuUpH2ZPKXtc +lNUZeWCW/+5zHf7ULmI9Rih33N3s3zPf9oZu0G8yhrm8FfKiDFgz/Jj2MZpu +fZUrQGZNXOrT+vXGhyYYiFyoIRA3AMRtAHEzcy+TIy3+hm8yYO6/gmJbdSbF +OgfTwuVomcbgEl/Lt0gII5K1oSdHsjEBYaSWIQgnbB0zwDF5SNrX0e5wMAbT +eEnhWBHZUhtke9B7kSLuULZ5Wte8qgPNCwzaWtHPKauJPF05JngXU76gga59 +Za1yqghJdHgpuTqWCELXqCEOtmrRTb90g392tMv/6fbP+Id6tUOl+Qir7vWP +9N1A0eyPnpntZMkqyPe0viGGltCoyYnn/FEF3VEKEkZlvqjCW0B41EDYahGo +I20UrPIYXp9RWDaD6BPqJp2vJ7zvUoVoQ20WrIwoK8YPCvQWdQ+CQm8bp4rv +by3699/+OR+9QdAjKPerS4b1IjH8v57upJxxSTD/zLhb8DN/urFMtcU6Bu+/ +fkLLm9Q5XYiIAbytTMW88ww3fjzagyMZQDeFr+rxVYxRqRBKSAZipXJchQ3C +49YLDC9otdNQeQk5ADkRonc0hpNmcPFSHsRmSLUavZPcumr8e5LNp6d7NO2c +04OP1CPqYzg3sU+e2BRUEykGfrVIZBDXN5JOzdJE0yp/7bCATvNkB+N3oV7C +jRd86Y2+Ny5wgE4BdDtv96DuYpo+Yoc6mCyFmoEeJHFuwYK3iUNhNDzIyalM +/tNxKBdDDZctFs8JQYaavmFD7Kh4OMV4pi7LL4kuyzHSLe/LFv1ghUJ4vfnU +QCEzbdGC2yo5FdXRQzO54dO75zpumGYirLuDcP7+nh4qYpwfKxABHGrwSAQD +5GN9QLnrnmPjjG1Gsca3SVvffKrb4nuqX+d0oEzODxYSOFwLVGPxEyiDMSpd +BB57ob+nWe4iaPb7bFP1kYtD2XMXqbio7omHhaYgmxdIxw9jpNdbpM8SSL/7 +5gUUjEB99Lf97VoOzH4a+SnQDFRLPw3WlYoYyzv8v+orqqsV1AsM9Vce0X/2 +by/vUFjQxxTWAWeCewfuiX5Fz8a3eMrUCzQfZ0/WuODJrSX/nWc7/b775+DF +kppPHILHVpdk+eqzfU5NpJc/CUyHRzjsxeywCdsa4fHw8mIN8urOpRVfyvjn +XoR/ZJw3iNgb+LZs7dYOjXN1DjG5UQwwvHWyHIA8xcO2p8ZLpqIZdD1qUNMV +TS6wUQY5qCLdtR1OywL6l+xcB53pli28M6EOBafesa5da5PjNCLdLk5djsWt +3JdgVETMyJKMQoF8anehVjhqOVL1aG+bdtTNDGzoimTnI69GajCOeiw7TqX5 +oDai2x4Z2HErkdBrXzLkso/uvAbEUuCyV95LkEcE/uG+MtcstdgyLLpWME9r +hJ9T99GzjxnhyRDC332+wyJceW1mba7yLw7jTR3FrzgGkzpKznvUqa+IDkXL +AffufaDn2H0LP3XiH/tzWjkAN54t2kA7zgj/S27wIYRvLcbsBXOB8BTnyEbt +j3wDIfkfbL7GS7AvV/ClcBth9xK3q8j4cliBc/15LQNsF+WV/m/MNuqCWhzu +ti4bn9hv6pPH17Z4dCxDWNUBuc2evza3Ss5pAvLzA3mUBih9PrUu6GBkcDsd +CQ64EysY2EcYzMQxLtPnlkokL7sl7U+q37bNQrme4JqmCNwI/BCBW7HPA3MR +jROq0ZuUb7d5cw2BM13ljwFG45fPHyjmLXqbpxEKArXvru2sEfNCQGnBJRkZ +UYtFcnyapUfsuNKicdFZi6qCcnWGEF2M0BHZbUfjuhuRyzOmEZEbnrWrlhMZ +ZVc0LzGoscNWeeriKXUfnoUQqIUP5LQIAkr+/YHTNuu+4bTxNTvtQC8Ykk/D +qilnXvtr+uykib+HA8br6Jq2axnox9cxKX3XlR5F4gkbk3vxSXV/2B9V7npU +heLDzINlVCSeJ0/9seabL3AaDdEAPf/Ku+d5NJuUijhBFm3m+b/P4IZ8T31N +TruZYJshTOI5EKeDl/7R2lv9P9vU4r/xRER5R/nMrcpnImRXcXnCsl3qTZVq +gz/bWCbmmWLwHME4TlzX8ruuoCj7zDZoxfbgzbRIPr6uhVJrXOPsflapNpz7 +0dVthOQ2RvKRJ+tRcaVSEFPQTnuB66b75NBiRjBKQVa6cM+1SUKwgsGhQjtg +3A4YZ9jrKg/sxLkjj81GmZJTaXK9ZZIF1kU3BiiPa0JuM+kE3HTRYrgutN9Y +FnImBysxm0Nz971sGkRltVW2ANBGElHIQSlWAbeeJfT4iMulperj7dVYFDfz +9gIwXo72aGWHl2D9wn5YZ1IMhTiwjqCXMBRy80TFqUEaJgzvPZ2M93r1M06B +OtdjHjWEz450+T/b+Wn/jfWiN2/F/f5PNt1Mxz/cW9Z1rDj/kdj1HlYa1f+a +bjktQGxqQwq5BsSC4PYo3IY9yiUCt4zKEYi2UOUoKWPuQPzHLXtxlvdJVM+z +kXY6hGXw3H+/K99uW3EIjerX+Wf2p/i7TUhuRBKGFgMD9g/9eTxiXkRgbcT5 +HynIPsXKBwXZdhwuA7c1HC0Dt6Zuq5LqulB+DThPk18rv92Jq81OqkOL68x0 +I1m9tU0ANztoPsgZNgDvabgTrW1rTVe1J/1jm5vxRh4qdFg0xwnNGf9kfxvJ +/4wMEAUoxNKWod7RrtGdtujOhdp+bO1Hi/prAsetx5E4+8tHaBwJIz05zbJC +3lactnVfaJ+2twTdhFzybeX1HIT0iGUkQdadsONK5KbThF1iPN0iMlI8rWmv +tWCvjSDNUIeC50aDIK8anDYWpxGr2UBYcY/rtBsC5kyj3jrsI1tvsA57w/IH +6Wscg8Ou5ao1imnoawy9DI3TO2zNgTPWMwLryitrzruvbLA+sbLdcmsNGuEA +u3HVy9RnGK46HHiT+EJh98QlI74Iwxv9cl26K+cS3DHv4hBSiQ/RaK8OF+Tw +MEuZ3S8os6StMOD/dzd8llTBKjqfoxmyXyJoDjBNY1zBC24rEsNdAKYNeM9s +D4rFCt8yjUYwjWg81EmNNBoZtsJ0K642q6eX3RCUqhi4k2bXQjWmkTBb5601 +w+luT5SqgOm7b+BZUI8qLLxSqrPOmmJu0EBDrTbchuAQmXOMfThCcduwQ5kz +7fCSKG+YBuWobSmUp+l0wj++rc2huyFJLFuA07T+vF5oIIltjAgZI2Uue/o8 +Res4x+E4UN8WCPuT020fIalio/DmJmAlBdXukpbPEoeWFBiXdDgNLtqJjlTG +eIYxfnJLxTp0pOIXx2l0iWn2mzY6J6ef1xh/S7Jp3HU3j/uxJwZeuN/x4D/e +eIv14PUC07JAjt/26Pq2OK9ev5wTt+x4nBPmEYPupVwaPrO9NBOHmxjihx7X +PSug19KBEz+ibojEw/IPGY4fu2RIsphtxB9ePEtZewPsFgY2BvKY+cMK2BkL +bKK8vDz5bQTjBx/pmZYm++3lHdBHAdRkBHAeLNmZXZ02eP9oqOBVdOfNr+hu +jzYAjWwApBjkg/58k43RC4T0JgrEtUp6Lo5cNs2mzmmRZpfxiDzhX2X2Q83+ +wqDbRwuw3K4A1wQc41Hu9N236L7OFLqIGUeh69Dj9UC9f/G7Rf/t1TNIGHnf +bcq1baTBLGwPSmwPZAEMV01spmWUJhQIytyAMxHha7vhWb6LhI+T8vRljMLU +3lIdGwWcls2+766j9PrVfIXVXsf72qrW5qpwP8uDvJVtqBoFQhF/a9ARUG0R +eDpXXbC+XIe+zghk2lxld6HQWlLb4evMFBkoeQVeOrif/Pm4LqIJ8g1nTB/Q +NAE+dfUVyBQ0mEIZQjW87ShsovZ5jrXkRhSJc7b5v0GYAbQv22RIl+nr2LDB +DBz0X4rYcgATMKI53fpQrEqOb3uRPqnIP2FHHQ5OeXx8RLQZGFGZyGgOGf5S +fzQf9vSoeMMMHFa3c7ACZabToFBGEx3bgwZrDnrYHPxhMIoYR/JWdSyYNCD+ +MkyaCuDVS4ToPWXb7mAMlAHwD62+nWYp/u/+doVoYww6jfB/S8noURAPJHA4 +DxPQzq+VgjI5eg7hnI0QnI4jvgfi83hIOyP+7LYmvztn2fPV+u1wOgpcxAPt +dnrYUrq3GwfsepG+r9b6F76Tp8wckB5TkF7My7bV/2f2VSA5Z+BnpwH+uxtI +vvK9gokGpvYHfQeIGBAN1LnAjzHwSfApGnkZ+E0MfNk4RNMHR6gR+NV8Tsg8 +AXYzBzUYBGSGBSWcHR4UUrxIukyOB5IR6Bcyz2acrgvF/AaziPmJvSoKWXUV +Zz1YauO1CPuJo9upW4pgHQYeQFtvkeXVEZV1HeTTlNIcoV62zd9knP3Zdc88 +PM6rbCgGTBinDUX1/pzRvdEvEfmLsv5bEwMxlNntviNnVzAjv1Gko6ZUppA/ +A4fTQD5l7DGKEJKIEM713jt34uu3XA2vb8plzjzyYRXXD2Eeee4EFJ0dAu3/ +jt2xct81mnszmTsx6PHQtAwFZF0gKxDoE+T+T20sU30bvJsKVLxwkA2Xr66p +Z9AD7IDxv/02qVj83910nYn7tWGIB10KMf+P1mqLo54IPVt7sHe+qkAm58Jz +RgEjodw/vaSzOLI/1dsEFp2GcDDInXYHF+Tn2MzTd48EIHen+N2S9s+9lKeE +HX2zG7sCEee67iwOE7lez/g+s7dShW86VyMYO/MMh57toVp5vcV3K4vYTPdE +CNp5gnbcn9jYIbWkHcH2wer2XZiAifUdmYCRT1hG3sQEWJyZtKgWzRLOLEA9 +3UYP1KuNiPKpRq6ifEJ8M4Pl9PZK9diPvXkKmbvFDmKT6DNhR9uzo0aRcr8u +DRCtJVSrT/NYgSbivLflN4Le95T/8uo7ufd9jhw0Kjk9zPefdEBeE9HkYfj2 +qeGiXuykUvUDVe4d8LTuvSmUtlKv/UAeAT4VitSPgBc/oW7w4ovVBx9eHK0c +cs7GpaFcr4KpdeQx7bE/Rnx+Ce3tAdLNgB2FdIJ2g4A2jiu37ZGgOx+MztR5 ++++wU3/09vnOrk7lUoFlZuUUOvGQtOy5JXxTlP+sjfIpqp8vepCOruK+rIdm +pnGgh18gRD4nN1TIbYN/m65OhpcQLyu+14xnCxzHSHYOYG9KlUeebLAzvbTM +223BcLEPlu6gcfAP6xdcNvXrytkIOEf/dbDt5OIR2/c9yKHwnfPh8qGGYROQ +EibAXKVbo7o94/7DFXQwejTsCy4+XzAtv3uCVg9K0dUjlLOXo75MaxVN+Buk +8jpZgdSv0TfVxFYAq8YNE2AG9dNGv7Lo3ji0bIYrKB8qtQYVdreErqxFQzCp +o5oC44HmFCd3OvvHg8Ld8Y0tXpMYzxMWt07tLpBWrhRM7cr4H+xpsW7dds7b +aTif8s8OdXqigQoqUXrPRXHuoI/ZfftzdhMy/XBB1OMPUX9QSRuA6TYanjUG +ICvcmOCtZjG7PEJ1tZHcYfWt9evamti1ApzIk6wlrzXhl4Y0+r2YxLve0kd0 +e5zl31CumLP1OJYSBTGE6UAx5/NVDh2eWzn0Ej0k41/YnSMZON5iuGuFbxWW +qGh+jY7m/26g3bsqaN6IUUpOzMWT3d7sCPJ9qWtoDPmODB+xe4IekiADgXNE +fW7VpfLZwHwzY37wzlo7ymslG2HZCcKY5wzfEZ0/pDGPWpvdV7Do6iRhPikx +f3KwLWgRfnQObAB8E2OecnaE4i+XiLvDVcj8316lvNx3igUR9UuK7/xLJa/J +wr5JwN7EDtwyCSkszf0qiKDeWYlykGpkjP6aX6OBq5G389GWYjsLuIum+hD6 +c6KdRE63Y+V63Fb0UiKyR7BukHKyr8VrDDqSk3bCh4nMAauJte3NQcMkIvuS +/9SdwawucPj/gmaWNHZ53mp4abzgv797hv/e1t9we+5FEPDhSInlNwerdXVJ +2oN0drDkMvYrOxI8N+gARwi+qQFqVjB22D8QnukRV6l+Mzk/vhlrAH+n6+xX +4OM9Q3/SVSSQVZFA1kQC3f5gsAdARQRCxW5DAUPvyXlZFTYN4OoM+Is2j69n +0/DGE4HhIHNRy7EAKDw4e5TplriTOEyCD59vY4GaoJlEE/j4q/D+qUS+hsP7 +392sg///suUahV1jI5JcLLfcxgosLwoMpuH0wrNR1aG3l3Uh7geBCpEd5fcX +h3PBJLMdxQ4cLnISRY0DF1SYcs/8pNG7r9AGYZlsUHFthaN3f0DbCqdBBS2a +R1Y3ItZ9HZ7fxgfg/si7M/dXwrkybAU+yK8p978sgBS+VmaibKKD7xTJcpim +avS2ZK2ZqBWrCWyKAb5uDaUYphZYzfgd3UKtF7wSMdTdQmSdngbSEhT83f19 +mvbj/X00Jrthmu4W2Iup0WLGyncSIk+wvc9c2zdDx1XubFvRzHkVfpfsTHGP +0n9i/UyaQJOPnu9MXT5LIAOiVyVhg3cLLwcNggSobShI2PEpWA8vFtIA9Jp8 +QS5EvOmGa8+d2Eyr5fbzFCN3vYCOB+JE+3PxWvPd6qPfzB99Q2ej+apDmwHE +DjIeoB/MtB7Y/aWXBpsPvra05xz++L/cUtS0XiIYqhMg/3uPzdAz9HNBMk8h +P0X0LFRPi5BA5vjhkAD2gHP8Bittzwrcm8UfZ7YVTY3+b/p1UvCGSgpUrNBg +uTzDfsC5I9bgiL5VSG6mSwpkN8v5QZoxR1wp2YCp/oKNs9RJIvsrVn3MNmBB +Gw0DwjjeF/Q75fS8uDbA6OVpx/Fi/TZ0e3o4UNCk9nQDxli8Di9dRQOu/voV +RAOSDcgLG/DmCz0EcoLMk7P88wfRCfF9rJmtYhG4P0ZPAgVTgNyZDAHifknc +Y0RJLpgFqoMFZ4nJKGlyzSDQaQzBSJlaaGg6cC1bg5Pbg+2F2PGtrAMVAfJm +A/jLZqadsRmiZ6bJRgyxy9T/6yOEbqS7VZZB04A8E7iGucDzI0HmQMNCVcRg +BntGLR5QmUNTIAqojhhgC2ATTMTw811X+B+OluqsvE9bB5tAiPWJb1FIoAyV +GV00TVwQG0R6YPQsVATLcsx8lPu7Vt89D+aOjlEuwRen+divgqCCBTF09QV1 +OxYKIdxZ/znkE0eUSSAioSa6WaYRh2mSSZewKPi9YFHi1qIUYVEyEYL4GMcS +/3tHgWIJpBlP3nFlmFdALGF4hVobS5h2mb/bWbD6HWFTZM7xl7tm1OJwA/74 +srApVhi0vVgUh0WHnDFtNvV4nFKPEpOIk30lE6KRFBKtk6O5vJm7trlZlhKe +12+r03XjWhEjxKdKwzf4HfE0UUHFw0pTjX/w0XrQaq+jX4KsyMSWoKPm0PIe +yjrKONcorAhCBavmU1nF1IvlTFBkjKOoGCwKWTWjYCMJALq/tcp2lGE7mphi +ROeNoBhTctyYOSdMhp7aQjYjPQ3JeHRTu5ewNiMubIacgwklsOnUaQu6Ulym +Ef+DaTTqX8iLnFwdM/j25eNWPKiHiddSGHFyi5gf+tCsaSaQ7aOQYdQNGYxA +FyEDdg0iZMjbbYtxXqf47oqOY+oHUB+qlfbvy1qeMWnZxqxvjtWZYwdyNpSQ +6gFjM8qiHZQEn0tmeVQoqwEQ0jbMIHaBowlNLUYogWzFIB1lDbBuh8S76gq5 +J9xYhH/zVFeDtQWaHExSLGEIQvzfd39kCx0zDCkbTvREywBiEWkE/ZEpWSoI +6f2aBfcK3Ie0QaaDnTKJzeU2DiCMenJg8WyL+nYe0DHxDMYo/SsU/A3knd4b +F/JGnk+y/Ps5jfNCm45778z4F6gx5nUQWjZ/OPDULJs/HN3egVL9oUImhHqn +j25fhRpsi0xFIImwokH1JJAemTEySe7HmxypUFxh5EgTmzpwpi3QGukswpk3 +M0og/06+PsIK8Ioir9EOEk0JklGuyLDbQMkK4HcZdA0A71+mDoDWwADECeSW +sFjRaRoDwqvPWGdHBYoOKf+fGiraHSMG6xNr2rPcTX9pb8E/O9ypw4G1d1gt +0L5Vd/tHtqhwoF+FA2OlYKFITKwfwQBhUXc89xfbSktD21RtLTGOe4gdsnrA +qQoU9l8+UKgwCia4Q/yVR0Hq4VjigrqfUDdcf88nQ82hgTDFey4ONQ9+PJwF +zGkUb5qGvgSbtYLOGm6bq+e6gZnGf+TZDg18wnnp16AR4X6NLEg5+Lj171dF +F/pjImfY8dw3/O+svgO+Ps5/NUU7zKrOiVYD1gnuALAGURBqqqPE4fkO8AOE ++ARziCgx4jVVD0OuPZqbzZg/tCSQ/j7Hlli25LiYNwN9SRl8nza1VYXEyVEq +KPwAkoDXwR3ajGH5vTxr+8G5lDG04lz88qinPlzJMDqTDF8mlY4ZZqPHHQL2 +kjl4d31n0lYdDe7lXEOoC8AwZoL2vWjc5y3uEyHvHwwH7tICRKMhlrjXygNq +JjyYo7VkLTxeAui2NIQK8tHXg75c2cNK8pv+sh4nKHoFMiQXCFfqg4mkWj4g +lMQZMgIndmmHD+Abh39o3e3+T/uu898fmgEjyNsBIogHav/dXtK2IXakmmaM +o41gUrt+cv/w/NmEtgR2xwB9piLcfytjwrSbwxKkNHxOqftD/khu2S+Hwv4e +3OGKS0PNbykUnw0G62vy0Ay/SNiRUHIhlzER728t0vTCLLfcKVNA2oB97Ot/ +f2WbXrPRejkyMW3JxEMqAfgjZT+W87w3fK0sxHX89x1nVQD0CNoOJNzwv3+G +/ysF+fmCTUHQrvw6D7moI1ZQ+XfoJyP78JAOQEYNKqEMkxBWXGGmHQkvP8Um +Yf2taascXs6WXfb2uCbBzAOmboB79buBGqOd8b30CykyCSlrEjyK//13egPq +/u3VM6BzPUSGgPlFG3tra0HsYi6CQzTCwYRs1pdz5DTJ2EkCo7xYEpCw64Rs +oXIbDeWm+qOCurN0HRSDMgIVawPiEdJBPUeYfT90EJvag9ngDH+iFmlDRoWX +9p3eGah+zXvHvaxe0cJdB8/1/vGNra7W4MkZ5PXheaXGgOzR84gg9vMqkAy5 +fiAcSDeuH921cP2wCMr167pkiZF/fENLFcWgd4fsZfIQ+9QFeRhXUYC3wt/f +fIHRH+OmpP1ZXViwcUAiIgagAU3q9wQxhh+J/9UR+P8jykMiyg/5f+IMl10a +zB5UmD5BUB9CoEOyn0uYFOW27jDMK7YNr5ZpQ+DcrN9QOE8HbbL/Mneo8hOa +fvFnG8vx6ErB1Tic5G48/MXoqKP3+YFZRIHUENJj/s/6PuWvUDnAT7dc513N +GgJcS9oChWXIL4B52bEnPzckEdS5Pq7ziCIsibkkaKmCkZjsK39WFg6uThqt +MIP+nJncj383OaB3ZhF/Vb8PGDcXTFOdmfCPbaUh4AHoL36vSMVFE7Mf39Wu +0/3pQe+oCqcOlANhwm/NB3+oVYWmT/D8SyU7GxJW4e2VYHMMoUjIrxWkodwf +MrW3pP0/eu96XdSrWMHrsLAnQlD9YYC2Ae2hZT0UCqDzABVH82jUMNX3mkSs +tbgvMO6pU1BsDrBC3w1teuRFe9BEoFsCQxk8J9mNhH9nkOtAyb+0r+CfHpzj +/2ST6+UR9rOXLzut/NzrH/oZhN+0xjtYwevxUQo8PTGDE4R1mlau7hMa7MfU +fbhHgCSCTqcbraiI6VFP5isd8MPVH37mritXPPzlq8La30Ufg+kbZqZviJk+ +8uut0YBvsn49JwBvmmb/YGVb17/M6Vn5rTqt0nZPtvWIVr2rNFOh8Jxixw0u +/zruY0qYYRcDnf7g8/f5L6+60/9wuEQKgqSg+eHM6W0IInzbw6fwrXx+1rL/ +STE6zFAE53cXaGZ0nBefXFCv+rxSDKP88ZY8q98QpyfIBTmkwScMyL+iX3uY +B2d83eEXGvEX/aBISG9jpE+Ot/hP3X2VlROc2V8BaUyJQATKvaSVGjQz1k8O +tDmZgHL4cJymdSBJGqM3nw8KDDyRJ+3CPR0qFtpGg9VdXpLPHd3SXgX3hBUb +tATLgNKEcXQSmXhBrhFU9iDtwpw25GH6DuuGI1oFnZ3nJDzaXWqzLYKmO1D0 +4gDcR3vbMhz6n93T5R945vM0yf7xRx+kiZEDz3+NGnPJn4+XKBPPtsnWYNoT +KPaLwcGf3FxJCqQ7MkJbFuzzlqlLLuhYAvcxePk+/4A7qVlddw7yGa2UNU1w +DdqZnlX3h1UQDF++8GNnLE5c+/Kh7KFPhnMnPkYuH0TwpvzfFsI3L81OWYde +Ar4TYsCFib7/W2+lZRqHHp79CLvw9re74NCbonv3ZuJwrQS5iVmQYxuQX9pT +oOIgovlf7JrVzsLIUR3p54iGN5F7eOYlAeTrc4D0BsvVNXKQjt2qPL3aow0L +dbxN4dSGJjtj49kAyLbpx8X4pGwBuFNjPDTdLua/9UwjSGXGeIvw5m+vUVi+ +5dMEQhXOe1khJ4J0UGK8zmK8MRTEWyHBhi58rCy/ZzqDhJ6owYV3iiGsvLez +WUR5d60XYnjLdmPoBGotvHV7UIy0ROj8V5DgNyFGuDy/r8j+Xt3XWWinuSXg +/HiBdlqFWgQTvEHEMHZUx1+hp5S3A96ly7TaTe4qJznUv6R++unBuQTnqtEZ +2z7j/2j5fBs0qLSgxnJubeyH94bLhKYcoGL4dGASIvWCcOyHjWNPGLjvy46r +H0LpfkZfN/7LPTQgiqCl7xMX1P0JBXKcW/zJ7uy8iyN5sX6giCB+UF0zoaB6 +Drn2FSFUo+nur7YWGwHoMgDdEAI0fOFfbC7pcVV1/t/t0JOU90dMUkbhHhH6 +bysvDLddCLHwOK+Ot+lmPIFoKdwxYp4T2+aT4grxeSFouG2qCsqdmv6X58tE +nK4F5HHu5IYKXl3Gdzm0LWXkwdneTBzLM76PfLvBDmF/JojGbYuPi+8LUv1/ +B8dPnp6+Qy0+NO5uaT0o7R8U64HvCuP7/KsKUw8FMuDTI61aJ1wnGD3U/s0F +CvQgpxjkDRGtQOD/ELQnGeRVdN/eih2CG4Bc++k0UXZmCg/AHgJ1k8U0CQAx +XXu8RN7aCnsfmkN9wdAM2vGVazsbXWjHxJI+ud9SrsfGyzMeKIcw+RU9AzW8 ++zLoCzCaQGcQ3WAp/uvO1dDT71k6WKYfZLVFIwWdUKeCpkBeFvRcVakvWONX +rwGP5bfhPUG6fKenXuN2St2Wmuy+LvDtR37FYGdMTjoe3VTkSdO39MlFV6Jr +5y3lwU+peN3Os5rhk3v/xFlwz6BPWi9eEqA3s6X/uq9Yxxp9MTaD3POfsUff +oEfnhB06HLS6pDWanyer0AL4J0XBzShzFUqTEYH7B7tbSKTfzIH7mR1FAjnK +a1HDN3RinrSKvjwNGKO8YUeJxHzdbACwHZ2iiadp8d0YLMM4fS7FGuUZna0X +YrEYpMF6NK3bCcS2gJuEwNCBqUPDgLeI3yMvPBXvyxn/3Ctg7X9YbLY2ocw2 +4eRuVyasbAQ+g4EuSDl6m6IbbWAR51qlTTjaFzT2QBiE4L6Gz6kgwE0PjL2g +qboN1irExTQARPSm3qUsA37id9BE+Gq+kaXCgD1q+Fbl++hsuxkMv/aectBE +SKOtyx71D9TbFmD40Z0Vp4YH4c/USNGsCzu+OVAPQSGown69V6sjWP6bjZQB +4tivOXiDDYfbUWSN2coObS5QcssWQ4uM5FbwiTXtDcHQr9jZyIG6fR5cPayC +Wf7moL9GR/Z2tjM5/WPC6YvIPqX79oeaxz8eyh1DKP/jp3ST5H+kwhu1+pCG +72NaZ2mH2tE4DuXPz/XnC8Fy+zgN0DHRuLIIsYhBOqbg9nc7ndAgnNDjsEno +u0LtesqQeCTq64RdyEQLcJIs5EesjyWGiPVP79Q1vLyI9SVLH24wNHW705sx +lG40K+eiWI3QjhLNQJnHFgILk0lX2EsizTGwReOoJkkL4Qzz+q2raKHq0zc3 +G40wT+Nym4hcszGPCX4M8fK+rEOIpdJkLPtiRsUC1E8nbUYxlCeQ3FflCsgT +EnQuaUcJvPr0zKCpYPWMVmsxaIkgRriodAB9hCZVQORg/D+iChVl6IWDgZWg +feEYN7RLDCW5/Woq7BmsU+vxKM0HYoOREQZD7iM89HQPcoQUG4yJ9YEFQ4gB +pWCzNRhFnpiP+bwmuSdHvKZDT8xvZJMBZgDpg43hN7d61G1MSYLuxG2MbBn+ ++c4e/0T//KrIQczzSAfbRRNECDodjAMlL2GHDTQJgXFEptAcCIxjh2WxrxKY +BUTyRKzprSjxUwgK1FdI59G7Kwt1Hw9Stf6wgvm58AZsU5BXdiFmt7PEtBDv +E6bzKc1PMY33pxvL0krQRI85nObDHAD+hgdUEb8XF+7fBAtCuwOkiex/dkiJ +hLH19AyzYBGmGW8QC2T7Mf/nO64gjfB7m38DPmXUFO0QJphp9i6BfxUlHjpX +oI9V1ERSqux/OrRGB2g/s7NEK6q6yBrU0urk01srhHysVI6yCMfXt8YETbhw +VtwM3NZJhdtw5NoHMAs+j+j0vqTfZWe436JPJck+1MM+NME+NMA+FNg+nNlf +sXkGOENwhTVsHyTHQJ/Hx2cj5ui0WUZGRA0mAmAhoO5GbLL2wLQdhu0BuozV +GUkXOAsPD9J0ITYPcTYPp/tbrHmw00ReKsh9bpInPLqZZhNlrYVoFvsQzbhf ++mV622FHX+a1MLx26k6xdmq8oBuXiSXUbbx1to33s5/9rH/TTTf5i++9w39x +1W9RAEHtQRxA/GJoltfM03ZJoyNXjqpIImUtgmlKQu5glt7YaaJjOdqJ0xRR +BNQWIY6ve38ZFOsEv0f6foVf8Hu1Avii9laDwzG7x74s53NIuOt1Zgx3TcY3 +2KweyQRQC/9O+XhopI9kBBpsda5ouXuM9l/WZaqQaOsZydp+5x2BMEfl8ykz +gWOwkwSU+1be7X8w1JLhwyD54NxDE++1Qu8KZvMrJa7Ln9zYYvcamwIdMGx5 +/aHCTAHtk5taIqFttqcr6KcZ2md3OKpeDWbqDzoYYg8Y2vew68f/3q0a2s6k +P5T5JjY0A2oS2nmCb8Y/3t9uoYt0YWJrJ31PZDeXBeK4tssCOs4OPzxBBM7f +wBJ9BUgZci7Am7hhQAKc2v43Up2Mzpm1OQaYOEdtxW0s+0HFX87fRvWuiZ0+ +YgLjzgF+lTV4NRbXdXJpeBSu6Vyd8PxgB+044BWdyM9fQppHc7CPbp7p73zs +Bv/uu+/2H3rooaDZlx381CgVTw/kEiIZkP2Jp7dVvLTFc1w0Gcppg9z9R7lC +NuAC7WDfWTpPlCI7ctuQyH5i1tknwgBm2v4TLH9S+Ky3LF4Nh+9iZRqSe1pF +2CgcMwLy/m/Ollm81dSoLF7F5/U6XTdtdgmGrKTsenCslgeOVKne04zOSyNO +2K7ddi3K4xytz6MfLTU1Iw/MZpUdJjTwYHAxmhTbfBbwVFK7qxzvMjAt/bLy +uzS2yaz7iQAvpj+Ak9pLCt3lpNBFb46Br9Pa48J3GYvyifvXu7+jyf2SC9+s +8L6mXo8b0mwF2QxOBy6Ys/7wOJAaQfKPPDY7UPv2degdqzQQoFG2/B3d2u54 +Zqj1ZTugUfIT9kbLelGxbvJJUZMPQntTyQP6JjYQH+jlGMDUDGyMyPIZcNNe +3M4KIMecigAw/lffw8q9nKtlAKvE35Xs7azo5eCNDGDsqvjF8Cxa6Ib9FPDF +jz32mL952T3ki1Wir+f+dgLFMcHyyQ5ChWqd7qd5KNiZgaJTu+MeQKrk59za +He387QzibhqhwwI5kHFe2vrZaRwxnWvgjlqCPAf5RdlRGwJzJSIXb2R1G1g6 +LGQzgXcgpElaIQ0ibyCOeTkS/lUA9LyItu1c+nWagCsC64mAipNzgucw1il7 +VvH4lYT1t3tvJNdr4ubLxt/NEawc5eENjHAg2UC/lf2tQTgSdRVpW0Om3rmw +d65lgB96IJDjag7P7bpxAd7LvXtI0VmWlzCMnh3gNf5gPaR1DHDw/ODWX8d4 +fITeposP2HQ6+vZX6izQSwz0qRfLVnVPQz/WdeMzbNy2ZvuRjwtG3yu6aE8I +tJsUnuNwr5HPQYFjG4Oe6aEgvC1YS17d0geTcHJnazLYTJ6gIBw8nwjCEQcw +2htYmK8gjbzcEuYM9hJOZBjryOPtyG4OwhuC2QC1/gd7W+16OGThSIngtO+5 +5x7/tttu87c/tADzAjJWra+FOw6Bx0x9HffW7Qebj3EBG+4X+fjDs8gA4Gyr +QLzD3+kQPKUHbGiXPaFu57iATuRao0V+IliBGqdtMU4crg53AOp5xvQf8AQt +rDolFrDw65FscNoIxhFsG14O6lfDv1/cnaO9MR0C4kbZNrm1RHXzCgNbDgXW ++vZa4smChFqlSzfcQJszFy9e7D/1lWuZeG8lC9ASsdR5Bo4VGMsW5M8QeW2x +jGV902AZnREKy+Tvc4zlvkUZq6PVtXe3ncbFspHWk+JOnwpm9dTU1PiP3Zzx +z75Iu7R/hOb/HxKWCdWgpWzNznhsBNrvburiXDphg2/C1HM98O5evUV4NqJ3 +H2wcxdqvgeM0Y0CCur1tnFvb7ZVdkIdUdFSi29oOD2q3Vxqhnl6xQyP/OoKt +d0lnSZZtqxkp0z6scERuz++h7p1XCN1aiUNuv8MJC45uavNoBFgqFIwbHh3B +eKPYy/r+SI914+DjTUr9/VU3+su/foN/4w2fDbj83SXd8t/OO5/liC3DvJnZ +31XTd2hXh54D2BZo81yFfTbw6GDSen85lH3LYdKSerKtjcEt6tMG5q7UNWEj +c0qy20JYX0ULLtSxyv8v5iwuZ+WYvl8E3rTScZYAejAaWDeztgQTr1J2PjBy +cVBgurpGw/I4ckjZTBrX/PnWVv+dDV8gyu30zrleKiiqVa2bbglY81iwIXd9 +K3x+FerDmXuAeqLOKoR6zZ/dc3US7rdb3R7X6HZ6alzgGwE9ffcFbbuRZFst +7U1X1vnXLZivJbOD1F1aZQDChJlVxT09E8figouXrXfHaUKpOtcBG1Af6sQJ +9e7X8WkFdDIBss53cqCtYi1Ahi3AO2u7HGEdLEBRxPMm1qdtPGOUS7MNSFx+ +QS1FAQ3CzcspQO+s6vJqrQ1IRNgAWIyT21tIpC8nfCZQxK8q6uuCfxNtQDc+ +Hjsk7WCNTSoh7/80GYnw+h4j4i8Ekr4EZgIFs8SWdVOIn5hmGQCn5zW8W5Ot +gm7R12X6veCTbdiPSR70Eaqn+7gpuxnCLWXtQ40GPX31MRJ5u8Ui2j4k9K5W +s93cC3a1YqalrqnXU3yP4lkU6WZkODTYoj9v+9qFeVBRvW70vzpieqj6usGa +h3pmy0yajoJazCmo2RTd9MCZwP+djV/w5kYIZqeo0DGG4WUW/EjM4ePP7CzV +8WEo72ATRh6snsX/jbkkvlDpfrcwB/NKNI8D1lvP1Xb7aVxz4EjrP0/3dTAk +zjyOI2ubYAT8SfWZfOqrzA4vVSh6qQWvnzQPlNFDiiZo9IGlc/ypl8lVRsp1 +UdZvtmYhdfkGvWbODSZHW8jPS8Vuq13GlRA2wQTtJLbtbyWJfl4bhjjm/NAF +JJlb0xW3NmF6c1AMBoNqcyD3XZ/ub9HmoJFbctB5K3W7sAS11hJo5V6zU8zH +SDCECNDrhsMBO05j7V20Vfbnu6/EmvYaFhFJyYDYBdTq0/hcbQ+gEYKhEEI+ +O57PzAl3mgB3llO2pa5VVPEX/tXOgmf+JQMDgAjB1Npq7db1pK2pNQjYG62s +gn3cbqhJhjpz0Y5fjGDrRDBAihdm61SgX2CgSyH8dZfZeVEJOtVSFNyf3lyJ +ytbVC7X0y/M18injt5t5jSR+aqjdcvLq6zl82OhnUQFTRoAYvKsF8AXbnuTD +sqwueElcNbBkDo1jP7MLOv69YR0uBwEXTJsc/t0oUF8Dmf0NQf5uB3CTOu+x +eiDkR0V8VA6V/LfXaiCTjH1DN9ihHxXbLd7TjPeTQ0KC+5AyDQcqeGF+UEiH +6vJ2CW1vN4gyBn2MUa0yfHfh5T5qg6VzMk4w4/1p00+d0OibhbiUpX9zHrpz +KT7IC0beke7uITkkL9OE4RJpvhnvQyO+6kQSYIcFYnj3SwWPzmUs4kM7PLa3 +kroHod/LOQ3VWkL4wafm+bfeeqv//MN3kI+3kzCUj8dSSoV8I+2FgN/02Zvh +PoHap8w6HQT/UrRXFRyoZKDegrktGNwTtw336vN15DOf+Qxr6xc+sWj+ESOF +J6FMdwR6Veg+S/ej/xKrHF30ooTdJPg4+OtXHu2JnJNp/PXpjeWsHr1RrXW/ +jo+JqX+60zQrknOs3rPJuWS6uQB2vLe1RjSpAZbsd81kq0ujRbhuHdjvmjvH +CGWZeMM6sM8SUpsIqVxCwxGHiAvXyUia++hMf2J1u39+uOBdyfg9siyYtMte +2+mVkfj10md5TyV9I5YtQHsLcF+rwe32yn8x4597lcq5BO7z3y37fQ/PCwS3 +Y21wTBLcMQb35N6Q9HaoDXbgB4Ukg1t5d1tUX/61K00DzuuFVhbqHd3eQZgl +TPAc/7Lw5M6M/70V9L99jwZrBLgWbTwKv5MjLSjF5bOiCmd3ZmKE5ysFz5nx +aTg+mwGYsV1UikuHontJ4jUEbXjVazdpjftghRpwocjJEZOnDMKlF4v+2bEu +/73t2nOb5bLYI73rqS/6t9xyi795sY75E9Ps+0C8MLGuPW1xXuSdHojpjb7u +Om7TgV/HWdryUx8E7ykK3kmV95jTg3P9tddea7pir3/uDv32Yn5lzE6saAfY +kxG9LT9b09Kup87/kkTsVf3zteyvJ5W/Rquq468TFKgbf41o/DxVxe1MT7ew +Rv3oqRDPPrB4tta3FMSSbMPJSS0sKDOFekTtp7dUUqFInCQ0FG0TvH++Mwja +u3Asxen6uy9wJPFYj/cZ9tBTg0VyxSzQjCLcj29oJYSj1wlPM/61YLjuY/ql +d9plHJjH4cEnGer4mpfKOyr7T2uoOxKYpTemVZBN848I6ieH2/0li662cbuC +vj5HRD1Cdlx15kCLArEoq22iJTsG5XECsYnp31zRU8LhomjBMfM2ENtDnU+z +OFoI5XErtKWceV13t2m8icD2mfEKtd01yzI7HDecu+DwkFCY2VrVfXVoyqm1 +AE8J7+0U9vbQIip3wK9ctzNYqbXYppl7qLUpbJ8YnF+1F/7Q+tv9n+74jP/+ +aI8W3uH3PqAX8doW+RWdXk2onceG23q/D3H9ncB7IyG6Nnrt3aoOtwd3sEST +rgL8lxn/kTK7XcWD1K6jP2lg9Pw3guHXRN1lLVFH3emN0T1uxNWnYAfMRB3j +rWEHtPytjjw/gH7gMvIY9vz4aFIJzjJ2pnfl+LoWmnOfZVuAjNuE92nZeI40 +ndZcfL1q3C0OgXGf3FaujwjOz+8u1EWH8iVex03mANgm87QKU7rVsTgn4E7U +HtgE6y7U4dN9lbm4upFtwuJr7QxdXovjttiwTdDz91Nm4LbPNsHsVKK5WAt0 +LoYEPhiqq5LaiU3q8/sGkO7E9Xad1mZCOrv+FNuDi99XyeAzswKl7JoZNGiH +RLcFyfFBJ2epud1tHun3m9kynN7Tai0Dbenb3qFXdZZEou/02e+r2CWeCMjD +HIDZ5Ie+HbBuDsFn/D8IvozswEc7j2zhQdtts53fS4U6L+6U7N9Z1ZXhFX/U +rrd8hssE7CnT2UZrHtJsHozbhzmwO+VVeI+EHWbjwwPEhZB5mBotOtM81Nfq +RUaqGTMtQGQscjYGyEwz/xux/vFNrTFO84+uD6R2vB7Eo9HhjbAPDbAPWSG6 +Mzu6heiuRnN/VNY3//T4nCRK+z5rcuRg7GAVRnu0sajT+f0v9+i17x5NnPNf +fVQ7e/xv907aFtlEOLunaIFGd3aH6nc0aGJrqQWHW822WWb01f8eda+TIFan ++EZxU7Ul48HZ5PGVNUARSQ+p3BZE+Sp6qIvOE6hhtiQye0QCxP9vLxPTlyBD +0aTyrTwsQaRyPpQk4BEUaJAN3NCK8uFelA/3EeU3kvXnlS3l96h+n5zGHMeC +WIU9NeZcG9AAdngm6XSWNyJ+fgPierIZ4P42LLmCQ/yriPtrtDaD7AI+lMpm +uAraOf7576DBlM1GTHCASCUkB1iZrt3PWflX5LQBEQdO0I/51myYES0OKIu2 +H5NzmNYeEg7UWutRzyygYQ2ImFjTVYfDCWE4TOnANPQWreGIR/CANNl7D6UX +FFec318kQb9sDFTnU7ZqQNYDccVLRf/nQ1dWxRXIH0xc0ShGfIKGMCkAgKuM +RYuV88dDe/VCPYFJQQdi7pelAze16j3cgZ2ou7yYT2v9Ygdxb/7p+Rupw8ZG +GDGPHKJPgzG6hJ14kptc/gKT7on+/yUJ3+30TdorDz0PDMGGe+fKsr+kD1TS +4VEp8AphH+ws++3FrN1jZxbdmHRDRRTURENGQqUI6IvFOYC+SsmuDAuyERiJ +UqiPFvRAQ0ROQTRhpzAPeCLOQTpwOEXmodaah8tpbZUpSHLYgcstibELn4K9 ++BRQfHFqY7DAi62D03/jWgejryfjcU0Ej9D3tVr/goJoLayDyTCO7gxSg5En +5iDC8Khm0ArrIC4gWg2lgwPUQcNWQW8HccqJzBG2TjcG3NgEWhuSC1GEVv23 +jTrUgkFetDL43gDMJwfa9AwAiihyUh6IRYDOzsCxst4I4OlxPnLQL8RErdYm +6Da/tH9yRzD0j+Z7KxuhzlDkcOBbs4yb5+ZAelCdtQkZtglnx7v8o/3X+G9s +vM0JJn6y5Wb/xG4dTDRz4DHR6w74gdDILBshbG9p9dqsmh+WaaxA4Hf2gg6W +aoWWwOkBHoWMy7ENyYiuP6ETFH384fV9OoZggV+M76V9oNaagFeEkdgd9OX+ +Yktpth7oo03DFCuCkGDYVTgpRxFkdl1hfC0edE2o6sfrxGptRcD0wiBcMPV6 +hfhGwRxGlOsN40BC+y0VO+52lbNcXKcYwyLFGG6faYiFgWJQLRjJFwPJnjYM +Jze3EJkzrQi/D2I6MgwIH2Cv6W8bLpBYaCYbBuYciWCkVX01aLq7yTEHjiaf +uYaFntzpdWuGuIYmmIOMSDDeXBX0zyn0I476EQQXZA5Oj7ZRFGGjiRdbQGf/ +kHr5HJtw5kBVv06baOeLMAmVQGCkyUVHIajH/wS7BcPKfwiGG90oISMkhLYL +D/N/XiloCiK0ZohHf+NMp9wQAuybTMLQGCpmMHZAmQSaIQA7kMV9PXGOVCyk +0OD0nrkEexT/KDR4fgl9/dOdKjQY66HZv3ViyxhKj5YxgMB5DaZr2ejhqbtE +n8/eYDZ4iYxDiiaCAvW4xhQQpvbQgEDe0pOwA0VsS/Aq2j8qLYQe0qW1hdW9 +fvqs8kgoQLrRQ+wIWweuOLgW4pVHenTv3yzLQ6aiR+d0BWYiQREEOMk3WVCk +rnMqEGIbTiyCgTi6uu3a6B1kMS0LVlajVVgNo/45vq41KXfngHJAgsHSIvc3 +mAe9L0zHDDM193H9gXlneSfimrGcabG5NCaSj/65M5mdQJMO3hFEIcRY1Avj +oaIGSi5gXCKbAPpQY99r+ghMbxAZlKvYcgx+pdZqDfWiP7evxw0pzOhuYjmv +1jbE2ftz/ayEf2xbM0oGb6CiaBMOYyKQeCDhyOFcM9sQZTNsRmKMTDpkQxJV +TUHQIVZEEhKOJ6gc2RSKJ2xusI62xrtrCaVCGa0Iedd6pASBCXGxQf7x7W1e +QrAXIeuhqxdkP1rYfkwOVWyTAG5wNJO7KxQ5JMlWIFzo9n82sMAJFwZX3h+E +Cy/qUQPIQ62hePPZ7vBIoWSIvrQAX0N1R15E1HyZ9SIqtkgGkwgSNHXAESYO +0lJTNhVmCbmWKAYKBpYoprWVOBcRR2CdpxtHmO78V4SpMCpDnhMWfNccWo/B +RqMlkBPWkdGYjryEmhAlB5IZDRAvUTXN4/i6lgV66KamJMxgXZQuicvsERGF +STUmt5XjgnowVEVICmCYCmVQZvPVKEEKdWEjGwWZhhhDcXRtm61qkO6gWeQT +wlBE6o/7KkW2E0fX8cDQR2eSVix3reEmRrP+oisSZtKn3g/o9hC5pqKPTQW1 +GFwVcBPjnughOryyEV10bxRNKfPdzV1BYUKFHcg+8jhXx6bi/GtlyjquM0Jl +TXj+kEaMaUkjEZ46/TBRCwogRdE2bEyFGSsQs3LmJtGwIKnM08OtcIeOjlHK +nZVtqdjsQ1iLOrIIcmAoshF1hnYYy3WGsBR11lIUyFJkyFLIcQLoVLLzCFGE +WNXl6YQj4196uaQii3n+kW2ft5HFhuUP0dfv7ficiixmknSRtpeb9WSYReIs +MB1G0kAWA6eNBkkPN6GZgGwx6iIsBm0o0Uql+oDhjDvKRRVkNOBwA+8NJGMh +d5cJQiIRJCaxPn9fMPybLcZbMAKfDIuBgSFjUbJJR4uwDqKrPy/H6yKcEKxl +1RAelXmc3FBpjG41mIvDdaHapkpUPOrmxdKMHHl89XGFcQAziN8BPENUNxEx +hyodQbIBXqJHRguGb2ClQ6PJNtwkpCdc4lhNQnprFkBKwiyEM57ALJA2uYZD +BYyLptjl+U4kXPtyce4FP7vLaQ9+UL83TvuRaxsOcvsRaZqu1G+os/1jcHFd +J8xCQmQhICOs/HiQmLsfob3gh8RWijoIBfXPzMKxrLUMjUIAsWGJ6FY6UPGy +ogBiBorQrJA1M7TSsTNYLRTaeIrhggdLXljpaFoPWADd7loGHSukbSGUPLLC +sxw7/s6arqxVMDZxj/HpgdBGs3U0IZjOId8wtCUNE99T1rmHMltn93arkOHq +IJRYpkOJH2/+ov+zwQX+hy9V7G7DBmEbTDnD0B7qmCYt40RQWEQ/30VBRofc +aAgdpOxQgMwph3MpkXAgKTEXnN5eQTxjxpXrhSSuhHEOcg9SM9cEUUR4UjBW +e9nAIBOyCd9/bIbXaG3CjNA8P16oFTT1m417hqgMjcm3A3jAVG4lT+X0JjBJ +2YnDBbYMZqEGyAOKIjCZO1cnxAwRRERI8ER6hiyD/vxQQYoOG6MTihYczpgG +o2/oHEgh3Ku/vEHAe4yiBtTJ6nKqYNSxQZCFjCtxzGxpmniuATCGqzfWwGlg +cq3BYa5/0nfzdKQAEYRdBEDEBP2S/r9WOaCyCzGRWYRlzGQXYhwuGM2juWDq +lYpuWq4LJM5Jf6Iv6HB69ZmZFD7YbsfqYSLcG9EQ6n9wdY0mh0jwuQgBtEda +yU4Yh7QlLWNMQyA8MFg3RkGFEsVQu1OCRoTIqQUwCilxLty3XCuihV+MzvaP +bP+8/1qvbjNe8+wj/svr7qJj6pyXsUsOMxFmwe4je5FWGvDWU51pIJSwyN5Z +0bNJOoQEMjTT2CsHg4s0XWn7JtHMvDevx48k2TaEN5ewJLJRDxCPpCB+JfKF +2tBqPpiFpDULV4TMAlQN6mvaI5YxJOX0+7oRE5AaanUb5REVQU7akVzcsUSl +zRiXLmR9EzUNaBTGrCBqVbvLMSSD7qWnu6TqoRWPaokYINAckT/QsWx07SHF +h6GOijANpnGB9ctESGY5Xbg4Jp6pv9SDw3m2DocepFZlWhmqdwe7XU6udYCo +yhqOOdo6dFdRDtub8Vll66A7GRzNM8UtG7qLQkZlNc4PzyPSkhRUtXYKGWcR +MAeW+9zR4SqhjYyKSiE8liRQQuu2pzo95GCxGGSqVREoaVTNM6dNZh3WIpBu +Sn1az4yXg/3pygGBfcD4IWfe0CsF2lDYHvRBJZw9JNQrvYFYPdsjhQ1Glsbo +awvqoBl/an8HBQ3gG0zQgP9N0KDO6wCD1NLxy9uHjJxxYgqeJuVQ9kKrKMqX +V0+KYmjAV5qKiEoxvByLKtEhfXpbpWrZiW2YqtN2whIQ9EnTny1MFrezQclm +7BH2guUN3//WDBUCV6/kO9+fJ6YhxpP9EAic3lS2C7svw1F2Rjc11NvGpYbp +Cpx5wS1ADwVuIbzdK+AWYuJqNgyIOuhJukMzCZS9sR2NodwiLVsXYSDwGlOV +YxQTsayCCnED4oTp7QaGQcFcWbuBdxO383tgyvaByia7sew3U1ZdtUS/Zc2y +Hcq1G6fkgHI9jCakjShqbURjYDfUG/Z6yUqpaTvgWJsud3CwsfobXHGEdnq4 +3YvZnqlgzjlnGVBPa8ZzHmUZiaDdUvOV5gIzu6xsLYcmGlLWQpCY5ctXO5LM +RtdS6MWlDa6lUGEIxh9dfLVA+83AOkwzx+i1fJtplTpYcFaYUf/l5nbaXKiC +RfARptww+Mg8/xdjs/33dn7Of219dQRxes+8StBOAdtQJsVEyDZAdpWrDbGU +BtYYn0KVkKywDW8+E5J2DoBgY1VVTMQQJgGhhaiDJZ1fwCyu6qBhKTY5WdWh +V4yanUf4wB2MWFA8ISyDnkdA0oYEf2/sA+Z+XWn3cKrPNYyANRID+ZgAe9Xq +3WD4gWQjZ/JD8EzMOMI+0OQS2s1bZvuABkYub3rU7FggxLsqiDDbQAu/VM5h +pFLpkAoC4QOJLOdFjDrQJiIRTjnoaBfZgjpSQBi5RVgkRTqth2aTQUAnBbrS +YIsoyVDRA73X+A0wPA41z/2akcz5C9riRi3FFsFplfqCYxHOSbH1TG0RqvUQ +Cp45WIROtgiT+1urFNdGfanSDaduATIy7VqEWrIIcf+d9d02EFG5RJwNhayJ +mhCjvaqBEqVPs4+UygU3LkBukbMmIAUTkOLtpdOYgCQ3UtJAJH4y8I9QQ9Bg +5JKwAOERKZPDlSZmJD94sc0/MXS1/9amhf5jjzxgR5Y8/dBdFBec3detSYn2 +YNdZgH0bwejFR/lgP7qOC4zoAbwj+MaGYPaZVlmDr7QCKC2rrLXY17pIgrdd +hfpCpy5ORCxNgAlQ1yas2DoyJIjJkOD/o+xNY6w8z23Brdp71zxRe665KCZj +G7CdwTmJzyGJ7dhJTuwkToIzOJ7i4BkPDDaYwmAohmIsoJicih0b4qvoWEL3 +Hl+3IqH8aNInTbclFMlN/wi6USOkbtRW6LZo+8f9+l3rfd73e95vf1VOkIDi ++3btKmrvZ73PsNZ6RAAVh/p/fXogE9MX7MygMYhSd/ibf+sj0O/YXV+5TqQS +brUXnId6ENPD6QNICpPLiWM/KA7yAXcBUWyi3/OYYoejhRlOJpZJVIOK4MjQ +HTEZ2pQMry12m52RKO8jVKuOgYwgM7phgbYj5gkmpEl5WCQRjWmEmzHALbJn +AX70yMtg8fLh+m5wnN5Vp3wgnwpjGl1EP6scsTEdCChc76CCmO5Xp/zv1ih2 +0kvDVjAlYqqUAYOOaauUbGV9AEW0C14MKHHt5HNzNdWaJcOgD2oyG5HTK8dz +aRbUC6j2o+MiDGoGecPsQd7qPFTWJXyQjtAH6ThUVnVBzreCFVLl402mndGn +U+Xor3tH/fmOWUJwvk8siv460RewJS9sqzX6Vef4Pnelxj3HEIWYap0jw8nH +7HODXbG7QqN3V/DV/gPzca3LMyTxmmIT6o9iWzUc900J4qR7foqhX6u0xt1G +HPaFWQ97vc3HbfA2sT/sl4u3qTJfdQactwD6gVwBZm6Z83xRvLXLxiMj4meM +iN1zFiWmiBwxbIJePTjJKUtMOcldun/hFWpuQ9LSQxRQp7Ga8zHBIBf9baLX +5vvPm3x/V39J5fQ4p4Ocvok/WTU38CMHk/5nyGxcKgk+fCuIMC+S1LjISVwQ ++u893omYXYcf/gr7EgSSKgn95+wtJ5+gu/CwDX04WHm/A8olNnTjPH0b+iiG +/pWjVZ/go3N46bAYH8gQAUNHxBNjd/WIDBGEG82mIdeRQouzL/Y+cP1+2gwf +o/XHG4j2WDapzcq5YfCFEctnzOQDQdX0U7RNypR82Lu9ZVhMmhLxHRLxSPIT +zkgZ+hO3q4hH5u9tkawk2qoqzLF+yB7r/7bxX6KJF75ry/1VcblvgCDTKF0F +EKm1cPrqJHesHQW/jSqLuqi3JujSWXChr5kJrmfgyI2WCNnkV525OSSONaQA +cFIr4W6vxP/5sZpfhehahlmJ/6QPupAjlaHxZ5/7c1T8bxUPwf/x+T63cfi/ +T8RbuFs/s/pvCqp/pPiucWg+J0NlVJdgA9gCbl6ARiGY0OHePkwKZRDYnWgY +BmOE+pwAmX53PFfMUsJQBxLmmCfj2oS4Kdddr/DTvaXo9xu/yKLPJPtdkufP +JoZgJ0LyfPNMmbwkF3qOoAaLWZZtxKYtFSglDqAIPMD38j6DsasHoskH50WL +RmpYZbLcvGI/sq9boLkKQWOZOJtCZ+UdLjPK+JDGCY+0YzRzsjQM5KhJS/Hc +dkU/emghkwhzp0HyhuSkAXVCOUSOnIwbtMMCopFL0NYNt3vQKCV2mwamTCcw +3Ih9FjBzwJjRNyk3DVg9dh+JTU0z4EaJqNIt2QQ2nwemSia7MHcG4lVp9RmD +4Ie93Rp9esQkC/viZAGURrw3mCxs/qfoz7sWRx8frrYJhDhHFrw/3F7F1tiE +MUwcOEp9eB7kF42+oVCIuU/5OhakLx1SrFRApvzkALich3pq4sOIbqPqJAbe +a9zY8sjc6MrOUil2XP3sjKFHIcZLYopkEKPHyiAMYHS4TdwGJ5D6py4AE1KS +pA2ZXKJUwEbvXlyriCsxnEpdi9CAy2hyjlAnlY4riFk0liaT6NKqSV0oLI5H +i3WtwJ6U+qE1ARWz7Rdg/bCrmGFLsSl9uHBdPHrM0QfLNxAnsJPsAAcPaEpO +4senoeP+Ozw04vEbfzA/+taybsdxyvzQvqiBACuEk7uEyAAeVGbAwon3XqRV +gyk/PjpBq4aTaDK+XaoQTlp9DcJ33R1LovdfGYrO7+qPHvy2GkscqvX50qOF +wqzWNAsH5By+jYBmxYWJ3g6PJm63otuf6viTVw5VrHyzIcGw1gMJjirKIvF2 +HMkElNDdgR4OSoDF999zw1lcHtR7ElIwJJPXScjOOAlx3Oh3XvladHbbzQCY +DLe6taewHlB+XNzBfZHO48XCiHuAykQoFG/2MJJNkXhLIZJxnUkwHpI7WXJ+ +qumo1mBDaT8HoVIzHakxHcl+ZP6soz5GO3o8cBQVcLg9wwY4Wi0twQOHJS57 +vlLK0jDLV2pNQAa80np827BV2oYAGUb0c/0Z8p6rCU01dQfbi3lVgxhU+LuE +l+3xGrLQLnFuPH3MUguBZzFpA6oWwsnHuyusQvDbVCG5FOlEUtBF9vMvyH7u +EsAwCKKnCiN6GolJMj79he9eh+PwAJw5DqBt5dHi3Po+osVj37pesyKQUL7/ +/KBJJCsOWz7a2aOJUD+wry36E16iFeLHCklHmK30WfwA9Pg9Ccuvw9yBLH3B +j7KkI+hLooBxbzRgyNnXIAt4C3ghoJETNefVY4muxvohbQtj8EI1ORewhun0 +ANKurF+8odLPLYWhQ+5hoOksnxj6z49keuMd7DNgxzEwvMQeRhcyjgnFseRm +sqtle1sm3f+lQWUhlw8M+ywEFQwqmf2r74mzkKlqBx7epqoZLQdHNdMeS8nj +HXCuUyMYMifEkIYZqhmwH/KzazlaPIzMIYw0s5uR3PzsrR+fAKo6q6js2uhg +3ZjiVKTykJKCE8dX/J9X1xrs9OK/0/jc5yHwYgJuAD/qQlpRnboEVJCXuNZF +ixdOFFTfEuAg8wj6OjkphPJqMC8f2pOtf69IszleU1THhaSHei1BZ0Y9YyGl +wxcu8OL9YMsNs6soLI5knEL74mY1NN1TqOnxJDbikL3xixE7gq4ASBoVkJzf +aP53j4xqIGFF9t3rotPPDpmcE542kyhbP1jbhfSB6xoERcZd1VKPIk6VQeOI +WlzUBKPOd5/vxCRTUKSHKJJlFnLyhbnSuzXIYK4xfE1mYhsmDk76hVFFVoUo +O52XRKOgjAEMT732W9vWDc/BDU41mlLWPHML256aXwGNosdZUbOruqUfLRy3 +0m1GJGn1SNLuJh0TinlNv4lKpjG2jOyk1ZRfBgejmV3V6OMjVZuCjP0LUcOl +INMvfSP6w9bPIwWhZrwlpZBhOK+hBTRXS0AmltwHB1sa0LDKHj2KpE60RxfH +K8xhFC2CJvM6KXGjkfObap0eNNpFyAXQ0KNRFDBoi5i7vOeWvABMzm3oJVPT +Ok1lPYkSvxrs2woNthUnXrwznnU2WW6DY0c2+EoG6KLY0AZEelK6oaoTkcaT +KsqnoF0iHQ9PnOxXgPLUtxfLV+GiJFlraHshaHjwJ/3PS2cQcdI2akE6d5Kr +kofdRoU61nSouvr+XbdFDzzwAK3677rtJtv+fJLtz5qadLDf/MOFenYJKrU4 +yK/txxvhAN5NkwXaAxWjC6/WounH5hIXHCA5nPjdU8O43y44Mf3Tdq/7vM++ +aoF6K8QJJ8nACytm/4kB6PfbomtvsPkoONEp1YrJLILmx9XXK8QOfOyyjwt7 ++5o8XFSFmK3nnmyLHK/ExUy+XhM6SQbVG0UqQ7OzGM+UlJLcW9AKr3IAcNE4 +O1x0+pFKq0o8XPXClsxqTnNPoCVxHNyHC+M13yW566tfirb8cnk0/fI3fJKB +igVJBuDDwEiDp1U4OqYWc9CyaqKSaUu5J0IP/D+O4JOdYqMFdImAHoFWqJ9q +WCZEhqjBlfGNs4nDt5cdVRs1SyAO30OVy8EeS5doPoV1kOJNiLPmlHgTYtZ+ +7X8Zu6FLjz8Sqoj2GXqhJkBnYkKV9RJE18owZUaG4ooFCgncCuSLYxV6QC5W +JUsdX9J+HfbfTTAZJODkc0kKT7Id1xalNCc9V3qP4krf4fmYTjzx7jOj0eEX +vh1NPGeKlol+594AQRxx7WEo4s21uW4JNxOEvUVGONMYOocdADNmEmWxRoSg +1DH/xnVzHxBFSFj5lWbPkvp+XGWcSi9AAiVGxaaQKzN6droftdDJctlDQosi +Rjz1fRF+f99OUnJppAnbK0UoCTYUJJUAC9OVME46TkFHs6CDVnxitGJyC7y7 +34AV3Yyyz6rKI1zLwyk+h4RYBQXXDLhgd0w1ajv6q4di/wjkE8gjmmPTmZbo +v5nyafwXX+DKNSwOeeSRR5gzoAJhzrB/1O6jIhrYKUqOS6a8Q9ULQ80pQMAN +kQYIcrg36NWhcxTZ0nU2XYPj3Cu9tZhrzULB6b+9HZXWfzep+aleZQFOdjPu +WYF40+Vtz/7gmgT+XnEVQcK5LNrZnaH1cja5asmtZzAw0KRKDJcOfFark0/V +nsABsB45BrmROMBuRNIC0pu0p6otm5OMSD6F00+a67ckWJDCktiLGeZsNGmi +wosJVFAKimeooMhKKfHpvnh+8qfNS/sTIivzRJmsB4kuBRKAfQy4zcfkTMwR +kDDlQ3Ty8RFmfTOBREmqkWvmf3zrsOdOfS/uZp5Jb3QGGg3BiRUOJxb1ZjFo +bQpxIqfIFjpNMKlEpilBxHBNUNxr9TjRmSIPB6pAHs6dsHnlb+dIF45FVdKr +Yutwwq236ZVJy5VDsdzTc7Tdnrp4uY0rejilPYbRkEBFs0DFuc198YL6R+ch +p6DFnWi+WqLLk8PR2fGbo7c23M68Aeyplx6/Lzq96Ssub7DLbggVOVVkOOYk +iowL22qZ3Ax4gQKExckQ8CLvF9ThLWIqDM2jmHx41Lvau3YnzexrQrzAWMX1 +MvCe4uR1T7FdMAO4EgjBt3NDjdN4Zc/8P3try930XloT70ZqUtqXvsylQfU3 +kRTM3t+c440kG6JUlxdOTJvVDMRrvbaUR1Q7EwtUP1OKuaNo9dWKA4nuws1S +UcDgDZxnuX6LMm9RHcgGAYEr20tpkIFHkSFtMoZLW7GVmY/+y/Z5HKK8tfZ2 +wEevXAbb3bl7nHu5d8D3HpDWvGattcd+tFAyhPoaI2i0mDRQwAJbBtC0P8jn +eXVOVO1soCm9oAWywT+mFxqBZkMKDSQkZzJqLGIyCxwwGjIwPjBocOc/W4bC +yRfmtqUkGwATJBu81w+gaFW9Cedz6bhbc+I2KHjZ1onC9TlRbpQBFF0pO6Wd +OJw7smqJHii/v1VzkWVYd9xyQgLqUcBKQLOez4Fepidjoubw6+ml2dksoo9P +j5WjC3sWsRNxeK2Vcz/60M+iH/7wh9Fdd90V/fCbX4JMlOxtWlZZKWgrESHw +tTfokSId7QxBokmSCoCESyoonFg5grKjQW6jAvHrK2GPZ3IQ54hfULChn4KS +cDbVXbMiBz1HLCB9eqg91nZkl0WH4maEcDEWRRMFDxsDkk0AH5ivmHhOZhNk +NAt/Gg3LTo8SremkSnIt5ySGHiKp6k+RZyozBd8utBvR25Xumh3BR0cy1+ll +jX56+kJ/Zgmu5RnKefYXnTMlGVZ33JiZARQ6VR5xfPXd0fiz96HYYJuhWQ1D +EdG2psDK2QMY6xxA34nFAgah+A5/99Rwpl3Bgxt5wI04LZcw95lKtAo8vPcE +mVvjeKm+a18wEDYvphcdgTTD9isbHQmDvQiQMKZXmv/hKWCfIEQvEcJUDRPW +AttBwZVj1YxtU+Si0y/H3QbzcYdHiHxCJ+5IUKITL8XOl/nA+ZKFw7phFBVv +oFEQLMvzXK4XRzIUg5ZTyF5sYb7WD5yO3e3OvDJYJwZtDhlfjTM0MU0xkmkQ +scflg8PRn3Ys88kEdd3P30fE+I/tS6K9jy7y5Q06G2CBDni4sJQt38B0/xuF +EEVfdhAhGmQl1gVzqHhzOq66ZkbHe+fNweLc++mUZxcPCkB0quX0ASXDLbFu +VdVIIA7fzLmuW1xvsoh6bcYpnVlUZ+g7xNvf8r65hvQCRi7gXrV5mOhJaTle +HKtQZtGrCgyCjxVRVdRliDIThIrE9rc5CS6FKUfAcgrlmI6eaSoHLohpVZMI +cCkT7tT8sYNiZUDC5BkFBRJ/GPucKzb4JN0JxgS6wuZjLhWpASS6BCQABMTI +9X2ZphQWRco4Q1IINJdRnxAjxu+h0xToEdY138q3PkrHiMAZXyajOBQCducH +23vw5jpVZh5RAUqUBCUuTZmM/8fCkvj2DUANFItvQ9xZV5aQMrG3z8JIv7BB +DSLUe10erPUKkhisiK5MVb3PPhsYk7UagCKvhOMOBzx/6/XSHG23H/QvYZ97 +hMS4acxDvd8EHqBKk0xHiBU5wQNkE6dWmTJl+fLo0RXf8FnDS0//lB///rUv +Rn89MEoxmGQe5udn0AGvsqlW0OjAMxFfhgAUVQJFU2Cd60BClmiBbSYo0SB7 +c+C97eytHEC4nZpBBxM8VfOuynmAcItzwdkK/C9fGMB0/lBPs+pZaoU4epbW +kSZ7q1Z/p6UPJWFpflYzQuadDbYkQccyS8WWe56c52n2KawgHRN1zGYQ1Hf3 +zFVSKmfB1uOqDrUmMjnz1CQKNDXKAhe4xsJmdV+mFg8747aEEDX7cbmDANDB +3oQbXNQtsrlLPKpNIYIBhutRVlTZAUmXlB2sXSoJ9gTqC1YimIYWSgolfP4R +0ySumJQR4IE2VLJRYqpJmXGwXKkQPHLRtb090b1L/HLMe2OQ8GKvL9sXfJW9 +hcteHCJET3jqf+BLkNtboo9exww0wI9uwY9P3jClxFMG+L4opcRG8hPfLrmK +BFwt3eK8+nrFOmdWU1zvnM32oBQqAI+zm9UOjufmWkP+mlBEgRwoLxzzk8Ty +o2VKRHsSDU7vNvHyUIYD1uaUdTwcm2yiBYsgRwMZoK0miRiJPth1Y10SsXfV +nVxB/fi9S9DxdMIT4MbJZ+IMauKh+dGVA+VmDxkFoWJgi0diTTfueP4X9/S9 +MERLzV7x3j79fCw8BYCcWTfA7EE6GHkWJ8He3p1Eyym0Ow/3ZAU9zr7UF1K1 +XhiwZPHGlGane0CLRY/38Gcis5iOJnp81M9RzQmYuczSnDCJR2NC1o2ovrQZ +3iHi/JKkZW4u017y+oRU66XvLbI0qgxVGn47haQYmeAEjkuRvhSlx/n1NaYe +IwnKJoDr6k4ksW6jxYwNCv9VfkHv6rw0L+HW45qXJVxrkBzj0/2laHrNnexe +mCKF6NEgLYqzay2D5HdPchn0AbCOJ8ntMzCBLwR8AtkqWQwB9oWAxVRlUGHF +okrWsbDusa9hICILscLZ6FNJMmSxIiCFgz9h6hH86DVWtAtWGGywkWywYuIX +C4AdOKHfLrWm6M3YVXh5GG+jt0oFJSTVsnN0OONtvdLZgAO/ryi2sj38Rqno +AONXpbpNnZcmq/2aAKqNKOh9ZauOmEt+dapc54FZiQmgLdGnxyvRX/YviN7b +8k91yQWu/WXfggwZn+ax2mMXgIECxGtPhI3R6dmhnWq5l17uAX16Tu6BgR7M +YUzy0RfLTvJ+54ebr17cTo8dUaG2EUNy4Q6f5wab/ApPPMOLAwE568wasiFj +WyvtdudannaEkl0eTda1LWhG5ZBD871Rb3wWz8pgRiYf68RyAI6Yijle4Iz0 +BgERrLj2C2+3lm5S+EF+1gOjdljSQESwqYcpQggUqYJslXoMpy+2bdVzUu0w +S+/J7pRKxfxok+0MGYu0KG63s6cyyEIcapVk4w+bbAVz9tWbMp3OxqOg6BTn +Xu7j0rTCiGQaeiaSrJJM8gH0uLobYDxZmC9lyoevUH9K6tU9cb9imZuLhNDh +PPbBunD602FdpixfjOYlPaM1dDQJdFycTAxRp2pWfu6mrJcO1+r0aiRvdSpr +vKNPzoubEatH1EawTIpH1iRnB7GvLmDDrd9wTdGcJ3/a5T+5oGVxes1ws0pC +XKLCNsMLI5at1SWQceXwYPTBxJLonY1fM+nFj0RX9iP++087l+F+JufzEZdl +oBJxjhdq7FrweNGi8MIZ3LidHs1y79wmNYx5ZB46HWh/HEVle8TZY7nNG8gX +sPK32e8IdBXL1f3FYLEPcg4Qt8AUDlid2q7m7Mt9sbluLr3naTEl+250qK6X +sRcyDocbLQm3COBDgkvlMg5yqcZZwU1wDS4zlTFnPnG9uVnkOKQpvdHpYEOP +NjRiuGWYTpTqEAP/lpQDj8vMF0uIYCMu9t+YqzcpciZfmp+TOurMo9qIARSG +/KJeGKKLFQhDOhVuKE0IpSJznD/lriFbwKy7HZkIHYB60mkX8BcDFEzS62SG +iSq/hwfnsYZBsSIdVDZVbxQYmf5ZzMz6jn1NMVr107AQRpyOhN78Yk2xPKN1 +JKZaufYmPdY1jDQIjFz9VSWcsW4dsIr3ZoGRFPEa5uvO57+xziwLbptXT1S4 ++aOmqZ/aUGvdsG2EONubtNXBLR5JOmcgeMLNJj+DRgXdEI5XhmJKV5yG/H7r +rdHxl74ZG89IGnJh76JMmzxWryV0qUewbfwohaQCKy7VSDrgYMdYmxLCBfbf +mzirHQSytAqyYGGI64Dgb/NvtX20RZDl7Pp4s9fRX8xls7Q1Xk/YmEr9vLit +0hwTPBrr2J04WM+P1bIzN0NA9vzIgUteNUpB/lZuFZlQCbaA5c6FDRXiSrPk +HVi+ZZ0uFqP9MaL1ZtCHqEVbi+M1nDnmF/wvmbQgxYCW/vUbq7SbyUqhcum1 +staW3Sw44satsKKhTsx2PVuJCVSJPDzDgg1bvRQVhCSlY752+YbULgMVAQ6T +N9hv5lvXo8+x4DNYGG6wiiZqXhqrbmh7YXMNoEgXxUPkcN1GDheMLDL/al+z +U05lVg8eK0VEQmxRTlfAHtK/wc849UwnQvFUOWZpIBVeq4jca0eolG+cgZvx +/iv00I5Neeuao4dqIE/F3E/gRWCmtZs5CSGjURngOD9eQAcKm1h5YtUlbWyS +es9dCwvcGZKmSGFmQgYoBGVH+pl9/Num5WxqJLOPywc5unkdGiVYeqesKERa +4heSu5g/s34ANwp94tZJK9+EZ47BDLfRFFuGEh7gVrJC0Mgr0HBtC6QlWFnc +40GjSTVQMZP18LORxERnodVYJ2JD7uKce/vVhBbHmOOaX91b/CP6I3z3NI9H +e/wkhb9nYXFzJc8jI1zYi8yjLV63k+Xybkv1XmxFZZUUX6l5uNYisEDPuFiL +at0zsqxIqEPdWLW5RZsEv6ZYk5+VS/Qizq7ty3QrQPg75B4lbW59aVs5jvO9 +BeYUzVJ3/GHT56UguTkzJ1Z7hLSLuQoZIPOQWiTIJhwyUHaWlz7GJ/tt9xQP +vrKrvBiXW4kQuejavp5o+fy8I3B92yIBmp0r00FirWQYrGPERjPY3LHiS80s +VFo9SFAtgrfl7v44zh9eGF05XrXy+EHARV4xNNzABX+jUCmrXmlA9DRIUQNS +VFSNEphsHaekS7BCKUucHado2ApeWWI1as1BUxTlkJuc4O8Lu3rV3sHW6NMT +leivk6M+jUAnw6cRr5k0Yt8iPKY7sb6U2Y3eQkhRSTHYP0Rjrb2VGjCiTIxo +8nbfHiPMY6A4wd05qsUBHMG37mTxOQ8UKRiBDmnFz16aVJvUy+EhadvPTHmq +J5fYFRI4ae0skzreK11U58IpTdIV//m5AVkynq/+lyeGr/1vfu1mPZ0b2QLp +3BsqtL+vCiC4duYL91xHh6ueoRRLqgFcY3PBfNOuT5FmKKH7FNi05Tlfq/uo +DiukyMAWxg7W9sj3BjibK/rybDszrMqDVIt26U2ce9nikInuDPsV3ZInXN5l +vu8nfyrFR7k55nWH9Avb9WxDN5N9iSRMYNiFouPsun7OVWyJYosNgw7WI+87 +RNODQCkmEhc3z/FmWoIRgY4sxIhx6YNiLOsK0UVuBotf0uBYoSuT8fvbWZm0 +edxoF9y4dMTEw0/iEezFg71KB58VbIDu3RUU08+OsjLpScEUEj9fG8AIJV4+ +pm3/HVUjr7kcgW03uB6/KlkuB/UlrcL+RGPUAYXrfZqUY05s+28yiaNxJjHx +4nfDTGLXMgCJXQPg1pGdXj1cBxctcu/9dcrxx/r4oJPppCaNdVhBneueCjcJ +dQtWXNlXDtca7q5YcXxVCVvd0NaZ//Z7rMgnBrKe+L16wO4VQhtmfzFtQUg1 +5ohmkUp8iF3HfGvwz6Z3v/LF+GBF14G0bkkQGmNju7g9OfHj+XS+6lmYsKtC +35K2Vx2JLkTa1jzvGrG6j0TNXMr0w3xuFZd7U2Reg3obL0AAZzPHqVsxlfGX +Z5mICDawLVFKKENN+GayMTszDzyIS4vdA7xaEmyAUNSxLqpCzXKDUxQOrkut +sQH3ru6BuJOwcG6DNFjM14U9It4YhIX3nuz0zYlvxUXEVCostJwSWMBIdZGs +G8W1j/QysNG47hjXdcd767qRYJ/Cz+8kOxeM2zfrp6uxxN2uK2YBMrlyviaH +d6muqOt38PNfodH+WyWiQ1HQ4cqR2OsLtYVfTZgJHcBdV5QDlV6PDrYn0cpi +w/UrZM4arCyWgoTrS/MzpBYbnxU3HJVafHys1qk3kDkbMJ8bTNQyDkxQm3iX +n9jd60ShLQUwXJVhAIO3XRWCiay+b5KNDO17CrMARt5beTbEPt/5wOfbNUXt +gKWJ97R1D3hgV/aUeJdzWrsIPfsg3o2J3gR2lH/0HyZ+L2yoZm4QlAB08PwW +DyyotogS2hyrXS/F0MQKdYLT6CHuLrQm5hpMA16t0M92bor+iyZ4AwSCFo5G +OTY1GAGDCXM1CQ6ZGTQg7Xhwrx6CYoIRDEFzAgN/eFVKjM03ZzStwvcsxyuF +BCcL6JAgk3PY8cIgwKEi4HDyCcG9NQPI0w9ieK+bDxSQfdO+KND6TKfnDO+J +MIQ0rgbAQSZ3Tfid47L+a35cbryXUQ1NlBudHhtygg3oSbhpKjDCYAUKOIcN +4cwk4IJL08JNQ9jUWDNiBSWDsfCshcGvRal6I7pz9s553niMCDNbcjWkcDKC +vcbIII6ZDGJ3nEFQWW5wARnE2R23MIMgi7whZe05mF9YceyKERQbgVfP3iqO +r3hJoXbJEDDIMLvoSJQaDlKwf4xmgB2zoEFb7O3JpgQ3miKuG1JamuSeHyxk +NLM8UJOYN73JMBo9f6PH4sJl/Ol+SR46xoGI/Z25Hn82pGCAG19ALYZrUI3S +8L4kkT6DMhQTEMSnMDO7FC4od72WeN5ZJwLritfx5th0dKX9DLIOU22QhQmm +JQecBdHlBXPMdgntyxPDdF9lEXGgXJTLiR5k52wWV3VA0C9A4IwRL24lj/pg +YYHqMdw64kVid9sXAqOK91xREGBB3mmC35USgw3JxXFiEGjNwafoRvDnEfx4 +Rx+MwxplgykfrBB90ElD1o5ocrebkKJHGUwtHBGLGrI5qhcJiZhL8Um43TDU +EkZ5RRjeAZNCrLLSVpc7Pma79Ck/fd0c+wfNsb/NHPsvfzPa8pwdeO5fcw+P +/T/vvT76+LjVktSEdAGTf8d4oLm/ifKitBVcDcGB4fMj1K1GJ4oM9AYJ9KSJ +BQK9FBt/2uajE4hBAoI6gbOM5lkCvTsO9GYd6HX8TVMu5KJ05QgaDObh7Z7d +2SElw+lVtMAZe+zbi6VksDOJ/+u1EuObGu+WRCxjK87SmMEQ8qZ71LxRdwuS +fQnFaijKpzgPCLKvXrMsy2UqyNX4shmX5yeoUaLTcJ1K4IFINPCT20/BhRhX +xuNGwN+lbRWKv100m8COptf6aqAoGQCkWq6X2JpgUKZEOG2pbIQPq0aiH2zs +AffgIOaUPO0/3BjTHSTCA2FXeNpjR48P/iVxZHu6A1L+P24mSe4UgvrqdJU9 +Qz+Y3DaIN/5JBKfnWY49sMg/QHjavm3o7PDcQV/0FO0uRnZTMJFMLiJvC8O7 +R8Ib7lfJvT053GtMUXlNPDyfKq9GOcYRvzzGX13OuF71hD3Gp9d/Izq78xbE +v51BlBSBW1OaQMOk5V5JJfeOdkVy12aSu14v9ikNiLPsJ5FzY7+17G+TENe7 +gI4+NsrMvj2WhKWHeDkOcYZodHF7JbnvM4hpqtFhnnnQKtAHtEd3YmfP5Ue/ +df1dN998s4T3+D+LTOvK1hJU+E5ppYTdJooXxI0/e/iqhp6r/9HnU5n9rEJN +Ws41JKaHJEiNl25KXBZLJz56gaIuIWXHoe3DrMkepLHIIjB2yHp2dC2h2UaR +bg7s/pTE3oU6+n6uH5gTFqSJVRzNjOk0FqSL90vbK/Ml3vFwjl2/w5nB5yTU +3/1lh6/677IvSyDSCkP9mlT5/NeyOIP/YyZBoO6QUP/kN5Xod+sUE2jd3AzP +dsY7R4uY5JnkHTGN7F7UWyz2YSjja3XoNXb1283ASuDZVl+1H6wFOg12O345 +n2uDuRU460nVnRL757cr66nvLYY0PNMam810eUaTo1qC+IRZ4+XDIzzXEefu +XEcaj3MdeGBwIdOtVwgj7gPXmk0DtkNYVDl84E/lBgpliXvY8AbLxNeRKyVj +xxaVyCPofW/glf6MO/vT4r5P+/OfWTfghwD+y6zGcFPObGDZoZ66lVxiNrM2 +OjxHZgLN0djw5f9zS0BlzlRjJ8ksQ5Ml5/Nste3p6UnvzzXNcJjr7VlOSyWV +fFl70AYhvbuwVC+x1fPCUcU3QsqexjdC1KpYz+SU6FotxAWdCD+vA4V8YgQI +X8mB9DS+h5eZc8ciqw19jF+U58kRQCKBZ7jnJbjPviT90ofmQVJ6CHXg4WQ5 +/w3JtbTsSqL+WXvLySbg8JG5OUzdSYWudjcwdW+TqD+3c8BX6zjor/6a72FJ +62tauImjHjk85N34Pblyvlcf4TpgAAd/f0K1GRpABPW5jACmn1FL+rawfa1D +vyVl6RaeBjZSVvjNQQCz9/+8cZm3ccHJvu6pHzPi/7D98zjZq/F6rjx2ggfH +skGKDFeB9qiDXTMKTDpvzWe6lbOMJlzDcqrFB3izSuBdENM2anfFcxzrAvzl +AcUsqIgfP3eE3hPvCPVQsb4PcDDVw44+2FKTllyQ2LADCLhM9dX0sMvYH4x2 +0+aRR7qXR20u+yq9M57vWeW0coKsxDsq69pvDTOc9Hpa7056Osyak74Yr7yP +YxxGsmrcl2W67g7qwRSFg+8U5pMcIRCCMg2xtjqrHRfs6rD+uGDPckrHr/TI +qI/+RH5Py7cmlaJf2Gw9GfyeoHzINlzD5j5QizUVw376l3N9F28hrnUw7E3x +vr8nWtbvi/dvxIe6F0z9UxD5TgQBk7jM52zkB+s0sGcTHbsmifxLR8y7/0cS +Td++Ef+2DKM48msS+WdeHfSFN36f2874lSVb/YrJjMPbz/ftNi1PEHDJPZAA +yX13GOW5GbxezmykIeOvkRFfnhphjj69ITzDT2+5Lfr3TTdF995uO9b0dzmB +78y19PPBEi629l6iuYRzuLXR7jxkSHfa0Wujncl8wa7gozQiVFL5VuIvR/1C +j77YeT/nW3nsAqwazs8S+vyUIYS+3f3dRk1EsAF03YD3pXSQQFDZVcY7dQqH +MikCV/cVzWkSi1dl9metsrOr8Kf7ZXt0TWdIG5I+ndMjWMFTOUOrxgUKDbz1 +wtpe8gVHEvU4ICithEdUIiMwp35PvIQyHvKDTjwU0wDDvfW12TJ7m1DTZhFT +vE3VLiWRRjJNgNpSyfpwd4k7wpZhuJoDaoa7SvBjq4RmRvr5MWsEm+K+0oAT +3zzjVcxLTF6ATxrCnz3SlfvkQJHFGb+XbVV27Uty1n84FhfzEvGB7CmM+EC7 +8AUb8aAc1pGOsyrDP/q0mtqNDdv+PR3iehHxRUZ8S538GhIplPcu7b/6K5q+ +CwJUU3ZooIuPNJ4lPIJgw5CWS/b4KX8tZZWe0IPwyb8mYfhXlejC/kWs2Q+v ++7av2fExT/ZDoxmHH5BeTj6mFmq8ytfUK6h0iAMD2LLXbXlHVIQy8uphdoHq +MCCnMCAY21mHh4LHAEtIbmOSjy2/7gSHFyXUlGkg0O5BwLngY/eO1lZSobCh +Py+3nW6K0Edza/MNHOkZiJd6W685QIAf6j0w35xiJUsoyl4zf3oPWWnZ3wVf +NcLBHs4H0vQGSxUgqEVXNGsadZtnwzwgJ402YIMr9DmxG1IT/VuED1zBtb7E +vnpQAgt/h9aAuf/PJPefYJIhcFD0htyXtlU4r+tLzOb4H3mt2h+bKJn0f7ek +/y+Z9H+yrHl+ONwTXgrMQJyXwuaac2JCluDagX24VlPA4Lt8ezHnOwQpJYHh +6E86/MrtO+2r86EM51KA4V5JBahG+CKvtaURihH6LPn9uM6AgwEJdGM1KHQl +CgA99W9I3OPgDGzjjTz830ajMNZJov53EzFHOeb2rmatk3xUtdK29WcsHYCJ +AnmEgIseJZt0nEJxs44XfLcwX/jTxLLorY13BPkCcOSDPabmPyHNg0R14ZqK +zl4ujULg7OU6EsWCk3OjWGgRYdTrTLvEtSGJFxBSxmTkrDg2oGhwJlBO4+QA +gmzD4Zh6bAECztQBf3lzb7Mwk3EbC3h83bChH68cOQFHcBS6PX6h95O3jNtX +tLu+slN4P4ZpQ/ZDwQjpEoTOKuT67yponHBTN/OQBUISBGsYszvpEsTdDMkX +ZK7n0Yc9wG3QrexFTlI36O/U07wESbBTdw1eSe8aIFlg5fCyrRwUa9jg2Y6Y +UXx1okSi4FwFHz6Id3PfEPo8zBwMZMT1w56BADcSNgrMYZ4eBlg0CW6gaUBU +fHoYEXEQrz9LiEs7xPn2Hgo3D+HGYWYqk8Xo3Ct9aCn4d9DAwMC1fJ6NwDvs +qxeomkIcccIEEoS+ZHPEgHO8ZEHVhsvDC1k+VELcaBNsOLtV9Rh08iBkAJdo +OAFli8eNTqWvTq7upkiyaSaR5EEOH+two0PhBsaJPnc3GGKuccc38o1pm2+g +rnD5BnXS5uPfj9/KfGNOYtZIy+m1w7xanmEBmNQleQ8ejh90ZTLhX6nIhqdX +xwe/w4sBLV7ABNHlEC5sz77SX/ZpRAIg2D+7fyFKiHYBCF1N0JdhV8Uqr2OA +yKYAhN8CPlmw+JG6h+9emrcIQOQFCWDWqLRFN+ByVjUUlB/scELyPBOVWDcU +8oow4POVnUX2Jpak+DMZBOJ08Lp09mCLUyCYSgKgAHWCqyjct8DDHgqETdXu +2PQVHiu+nU9qceG6RIsRN+iA0MVYbyUyoJH40H23R48/9nB05513WjhU84KL +W6uOPqx6j3iDHywsTDQVTz4xwjZwYVS6C4CGC1tq3OZqXna9BRSN4fdfHIz+ +j+0luDDAbwW5Q+Z2+1oGOqYQLpxEgVmJbUvmYfRyscfUpOVil6ca9wImsoCJ +fsBEXlk+JbXULSkQ4iwaWj1MtKgOhMseXAeiWzcikwpIPKCSAhPNs7gyXJmq +ZAUmLh8ZiT7YuyRIL8ZfuC96Z9PXoj/tXhZ9/Do1FL4sceUNIAxziwZtB6O3 +7zjOAvualGNzO4Z55cApUoyCxhm4h8AP5h3DsYKhNQAKZ+mCPMMZS0pzsgLg +6HXAcTixNtC6Rtk1fzmPKXSDeX4oJ3KnI6DHeSlDYgApK7myp+p7ENkPBCeI +Em5LplIbASsoOGpT1YXyg+2bQeycRjN2YudmPWZEMeFxaXchySQQPGjQO3Ed +k5ATwl1FN2JwWDH5YOrKGIGKdm/qKF4q/CH/mD4cB/Dlg34kqMD0cOtRxQeg +Iig+8vx2Xv3pMpYr+1d9A7lHpiuhSyLzaTs46QcLSxL9SJM3oB95mMKnbQZy +nxzhqxhIML9nkpRnhnEf9XBdB0MQIxA1hYjh3OspWLD+cekM5P4QMVIYyGde +Ze/e1yJcivPFm72aut3vD88nFNPO0wRDCGsl+ZtSVuFFkoFMdaRdItzp12PY +gobeC0we/nJwQfTe1n+qSx5wzdxr1GQlTDS1OPIT62rl1JN2fUbSQa7LI0Oz +qj/QstDtS8dEPLc59nJyTERu7mJXYwgYMUfRkZINiRzvhY1Ma/10rFCcHSdy +2q/h6oGSX8RF0vEuJoKCGKUZEAOCBpAVe1osbKTZy96lYaM5oUmCWCmYVwZJ +wY5iOaVRMbOkuVE7wbpRhbmfUXPKHDAi1jrvKXAtLqq6LZKsm9zBFBZ2cmHx +IZMECGlicmAxLLVHBKuKZ4fcbOKWlP5lUYW5a1SaL1f37Ka8MDmE623o4uSv +u0YdVjhlEhmKB4rLABNZlUTgVcQzXtldnitwYT5kAoGXUE8/oWdDvmHyDgD7 +YauKxTf/QLtvbnzdvpyByCnEjMDJ/p8tZnhmMn4/+C9WCDngMaMqmHF6/XAd +M7lrJlKyST46PGbYJkWaYroXNxqUKEFTGdH/rLlGJ+YX8Ixz5IXHvntL9O+v +3sRkwSUP+NslD1eODXZqD3wkEMhFdF+TPc+WFHsot2Wn6GHCTjKa2eHU/gmO +4UBm09hAa4gK7bOggmMqQ7rgdEx4Fow36ajQNTs00OS+U6Dh3Jjyenl4Hlds +NXpo6J7FubY53iOcfS8lo7BTDYGGFgUNeJKJn8zPBLNM1Bf++J8oOD1CQtac +umJ3YzWn12G6ecbET+fbKWartDFBVXCram7ENVlIzIQBgIB6IJvsBlgwaPRg +0JwS+jfiWqNUBX759tZqRhcWbkyZtoxGeg7N8hRnt9xsRyBbbqa9Hp6baQJq +B1aRKxbCGfsQGtU8/xH8pG7csxiQ63HizNoB14dwPzu8jXDp7Mv9eAhRpVUg +QZMevmZfxlWO1VAPCWA0ehbUcgsJD2Y0V/lx8zb7bRnfkUBCQSBBk5YxDAVp +GfNPdB4C0jKr+5eHCRfVFFN7CiQP9GLW40sRvdICjcyqyBf+97390bqffSG6 +++67o/vuu4/rZl586gGfIFw4sMi62hcSrUmXIaA1SY/aXIphtbOSrPnQz0sW +YDICb/5KDtBPFma6xIT29UKgPkiL9zZ1z5MrH5xPsuJAvFIvjHffUJiodMUT +DduRxKjCdSRN/FvrJlQQPa1KjaB5D4j3tlgHnb1Vx7ukAsujXd0+3tsSckSI +DNS0Ml4S4/dG/R19Br8ad0fRmiu5EaZaHGFHmD0S8lAQ8sdlsIDkxLyaTLoc +IGWOyVfpRwtzPuqdp7NjL1x8jX4Kk4WOdK5wGy+3kJI06waqzbVMhxpzbHn2 +h9HxNXcjLeiUmD+9asg3IOfiWo/EPHqM/F8/Ooo33cwxb7d0Y/CE/ODqPjv2 +7GbM56JrB3qiRdUs+ImoAb5qX81AuqTDvgFqha/FNUNAYT6zsRuvzG/LjHiY +HUDg4QsHdBBu8YxmehvHbpDwYnKMZjq2TZGq8HapkGLphmdA6cFlOUMJ51jX +jLxyhEvxGPtXjg2xZfBvm5ezVYAZ7oZnVphT/+vm1L8J9wFTbxRtezEXOtmv +HW5U1tToLHojfKtjGvBBjxd9d2xoAAyCGsExIFyToDuM/4ZZ4r9TSRVPPh0b +mMAo0twZBATkha+s/ZeQ8cPqsagNltBwDBwODpRs/KMe6Mmr+Hc2TJb80C/a +ZnYjz0SHrfOaUJrejfbGR317ir6IlcEiCX2ojPnlVyzINKnQx/Vk2wB/I5WH +ZgGb467uLGaGEgpkP6/slagHQSGgK7m9Dld2lGaKerb3ID/YVm5QyyYZeE/S +ZaDenpkGIzvL5CmV5Og2hb0rNDJNCgQcL3EmEGCmkJWRJIuCdVIUTIw6JDCB +7vuNMJtAr4hIgPTedQ+Ks5/+/L9Kq/HSTuwM5MH/wXouzp3KxAgQCJbCg/8j +LWf4elwLxHtqbkeTjsP735YHPBa0K/skVxCcfHEuVYqtAgPecU2GFug4zolX +aoZSRWcK2+J1S4lmozM34Nor6It/XYn+OjUv+v32W6Pj6611yTMrf87dMN/6 +1rei+7/zleh/eGWE441BveAGuytcGxEpAVKBrGACVQ9K9YRlOObOCDChIiwo +XSQ4i9is9BZdE1Gojj2y7eZ1vL6kO57fqlABhMn1VO4QMeCEgnv84qJXbPC4 +gBblmoS5644qjoujBT2kRDuRRgYYoD5Py26BhAQaWHdp+itN0bt1qq4nACmy +R4NOaSUqNRKuLBUs8PmB90u0OX+K1jDRDpifMn4kkXFkJlPldkEB9AIQ6jPp +fZ8b9BIj1eTHylkQGQqDSkukRIRlXLbawE52BqVtSDaSy//TUMA7nG3oYybQ +JtH+p63LuGv7D5s/jxQhIDGxhbgDCmY3dqxrC3R9Bg58XXBgNXGgL+wJ3Btn +9KGsKcQB9BB9knB7nBOA8HA541jPj9MAWuNAk+QEF/b1xUIlzjIpVDpZak5h +Pjh2QyG2eW30ZmtexLByPq4RK/oED7SdQbAu06DC304M+LRgYvX3VDPApgV7 +n1imfVDaPS50CtNBxz5ygQsTvZ7N4HCi0aNBj0KDgL+8hsKVWMKsOZGs7U3K +UPC4UErBBXFXy9BGuke1CBztgVD44pBtKtbEkxGTCMdy5CbvndxcQbfXJsGH +S7sqdd1DR5A6uyGEBvzbgIagwx/xp/vlHVr39oS5QjZFl7hUSRmAA0wKrWop +1CVCYrBqAJhx3WdOF0Ow4IoH2iEj/zD1gCnzreFyIkA1MFydoGNPoEm07EZY +lxzAiIR1AhZBuYECFzKMqE6A6xAkt0QpJGiP3YhMYbBnOBpfdV90ePW3o48P +VNvTiUu8vDClH9D2DyFBv3OrwOm94nNNbnVE5l/s6xdInwQOnhHgf+KJJ7wf +vOVRJqjQ8/PRh3toZaPhoEHg4Op0xYse77/7xujcDtbuMRxo0gK7BlPEi9hM +za3b9t1Ep3yka5r5UAue0Cn8f1+v1uUDmBscfulfo/e2fTm6MHld9PGvuLsm +TUTV5WaYbxb9DLMff7arcsGlDfiNIDSQwdvD8baaRlrIO6MSEqqeH8FKvGa5 +DQHz+W1xqw4DB4MRRQ8JThlxYXstgARIn5r1nOHK/oT70R7OAo5joODdTrQu +GhaujR4UGmX+CGWEd6l/asTlErgc4kE/24k9Uj08iGMmJV/4SFDBjh61lFGJ +nxZLsQCm80wCBwcUrliwnIN8co7Iq0sV58CTKDdX6IHcpYBBDQuCr8V4NUUC +pocAhm4FDPH6OJtJXC/A4IYIkCpSyTAvnc3o2JqoS5A52ErCexHZGgGESNQI +f9k13wkbMDRkH9UEPruGS1K6BY1JRHh4NkTodabeRXYLCugWuCURdhAQKqNC +UFgmZCaOFaxSmmzpDzMJPWSTBwVWCHO1weqA9n6HKsJVCNOrRlkhFJX/0YW9 +fckF21RElokBLdHfXh+I/mNiabTyp9+M7r//frYCsB/ynVe/Hp2duAV44FVS +aQqqYkrQ98V6qeZgzx2+Ub2myuQDnT74XXRj9yUoSo6uJLsv2yVbQDJw8lm1 +pneMImSu0H0dr8yMoseO2BstHyyWgA8ztto16R0S4EQHgutX+q3hASM/p8oF +OBO5rwOLZndPL7By4Z+X9dtHeqzPUfYyWY/Tw/VZgf2d0WZE6AMy/V7dN1/P +BJ4WDYKrD5ptx95xFsfYGmR6wM9e07dETwkdc0CmhMsUEMQE5fKcoGAYTBYM +bkRwciUIBbVygqZo7ZBLNyc6h/Al40KnBWrUV0dHbE7SEZOupjlNRfxg242+ +VHBAgPY+S5CH5mU+J8xE3yfYyHw/+uRgkbqW2eMfmla8iRj/kckoP1jfjcjd +GycFgT7qS0H8O4t2kpe+GdYIVEYql+XfYmR4CotBzu/pNynAEl8ZXP0179Dy +ZEiTl1Ah0OxMcQ56UnbZuXuDMb2xI/r0jUr01yPx6e/Gge70/1/33Bitud8y +OKmeOkSzs7pBg+M81WZChlxilqhckMybAcSDXMB3Or12uNujRDaxIddvkHp4 +fnTlIBhBXmflhoquy1jxKJGfQTkJlOjBvU5VMmCnneoy4qWJZdNJ5QRQotuj +BMmL2KW7vUoEUH3GQFIl6MA+Q5NvPZL1mBBJ1WUJBgQKKQrI8+trQ66buFvE +CY+miBNuv9FXDZde4xasurLBlAecHLZI2aC4SUgo3OTQNhS9l9lE0S5cQZ+h +wCTAoALRYbaKwiQIZCFlpa0AH1PxJEVbYakWQiQYRKNyGT1HUBNTGhqKtZhP +mp6aDGF+osLY/8I90d/29zFxyCeaiyZRyDCZyMvg4Or+El9OfDczo0fZowdy +RBQVUz9uv+Z6DJI/wB8F1UMKfqyQ/AE4Il6soQHzXUsbTWFQsPhRVCLL2EP1 +xujC/j67SibDMSQQhEUHE4vcLFyEzhn22qHryM8bAqA0SWrx8XRv9MG+JdG/ +bbHtBOqlVt0fvTV2h00tjszLWB5UayDMEg5UdGbTYGCwdvVEZUB4DG8W+9Xe +mcBk6XAlk0thO3JHxPa+DN1bBhLM6MQW3aKAiG5FIuUwqQdKMAGRhPjSr8c9 +ap0XOhItSY9Eeyp2iJkVCIEISy/VxpSDrOl+jjFYTPi2pM7sBTXIa2q1WPER +aQqhgmpMZxPFlCVMJoWwxIN2pgmI/Vn9zR8VMfPOYquCC6W9Hor3sMRTR3gl +LMK1FpVIOIMRU1gQRUg3ZKFh8QIFRep2eVVoMNVoTbQa4KC8KFZMJjhE+4tu +zVvCJWEGlzOswQAwHwoMUU0u4SDj04Pl6J31X2P9cWHnIkdEcFI3kBPZjGgS +tEjLNRrwUGgsLFTwkQWPF12CF/cu9fsrM7fZFzgQYYV4sUpEWDRstxtk8nBt +8aSEdfe0RtcYgQYvulJMWJxEsx33huN1MeHcwgBAmxQd2qDBc5zeKDd7eABl ++dhcphnTr9wVK6IMQiDNAGIY5MB39BvUQVrQjW/INy4P1TLxdjtiQkUwwS3F +vCXmQ2aaFYsBtYvGCzIcaoIJyeUx6E6aO2WVdyDX8OXHJm6JqLFV2UR55ifH +TKw+n5BjHi5Zb2bHZTr9osKWp0dYf7QqyAiKl7WDlstk6dBNnGK43EGrMdGM +7PFJRCY7jocnUgc4rPjUoazgALmAaB169MIUbHZEA4F2pPUTCKqox6rdCgq8 +2+FrZVYeVYECbXE0HO9Wgu+5YMSPFmasmWkrIeD8K72pEGCZy3MBEbBHLsxJ +ISiP6LXRWu/YK83HmQaR9EF+yFsldEnYa+kTS41GCfI/b19MhvPvX/0iOeWu +l+C7kftKI7jcrGL/7Pr+sM5oSmYKLEv4f3l4Hl336ZYFty/CwLXJQjRcaDij +YCDQUIUwMCYwwKzinrjsWJfRFOeXuhHlvy3P5spCS7YhxWLQtmtwZGhWk0ut +1fZUxopgwKdvVqI/T97A7GD/2nt8dgBM+MOuLzA76BIMMCc/MwDXNPRNx0MU +Z8iaOpYaPYIBydGD+XeGwqrGlOpDaA1WJlEQOhPklYH1+v6qtW8rJWoMlTlk +stqSTZu3W2smdhdfLxAJWlWNoUXZqDGaZkGCLO6R6lQiHLQFcCBJAe4EbUlH +Zyx4elO6TGoliYoCD5V0eQMpSjkJ+NQGhJASYVNq5xElBSa+8/hamagxnGKx +QMigH1KT4AHKA+ZQJlzTRU/EgwIeXhU8wA4l11+s4VrNcQpFkzT92NxMSeEB +6EWpq1V+yUEEpgxFwQN3tnv+QbvEPsqHiee/68qHFoEJ14sEW7EvphlaPLjw +Wi06+ovRWAZVVznk3UxSChCDIHg3TsF2ewoyPsLCmefJXIB0QaQMoVYqhAWn +fGCz4rtxNeFZzCv+qZnVRAdgoTHFsuWxe2+g5rKkYQF0xsfuvV67s2VyKV0I +x2viDLNLpQZnd99iU4Pn49Tg9Nbbog/2m9Tg14zjtzDhYd6itzcwBzcf1+2Y +e2m4LYSJDoGJi/tqfnMUj/PNJGK9UcwLTJj8IFBMAUcqehEdZp7eCs6gwcU9 +dIycBo7YhuXxhH/TGq6XiO0eoKZynUYtm6KowmJFyyz8huwsWNHsuQ9dwonS +WOEGGjm5B8rkyacUp2oDyQKwaZ7Cn+6XFBYXdWFRTVc1kIzcyOCPOxEzUhql +E4FRRW/Cho3bancW6c62UADDNzTddqaiVkgjgUBiITMEZ62KJxOssDOKYbUr +Ad8ROMw0VRt2WxiF3GxAA59BsHBdhtQFK+ATG4AxYFFV00nfqxCqQkHwwtUO +yCFM7eDwAqMIYtczw5bG1EEEaIkujn+GEmqcql2PLY4GcWknrG6minMFK/b+ +oA1nP00cvxwDwsp0rAgUD9+3b4NghcvUox1d5DcTJ9JsXqi4ZI8B74U3Qx83 +U0EABgILB2fvUMWdJpU3XDh4HfMGtCZd3oCPXd7Qgcc2K7sHrZcwyUTQt9TL +5c6N0/VQI0WzIMWVqQqLCebc4gzD5bdZpaAKtjkcpXNhLI3QVo4cn4z3Wa/H +HoUU2hjm3JZ+6/XYqrjTWioBBVVTiBRNorJMrnJAvaERgu3OtYMdHiBaFWky +CRDNwqm+uCPuZQifGnd6LEYsS1Vd7y14jOhVMwulbswreEBjYdalLGv6FO0x +z6dSxqu8uiTdcoE+ykgPyH1yCHHmxYRnSpOSPg2zCaFJT5ROL0y3aWnTgwx0 +J71H8/ZKm+CGm2+kLl9xRcde1LTEDfNhLOoUVkOfqjvQbzi98SuZlkTDAfIm +5iPdAhpX9pSZScyoh3qtRod9diiADlf22B+seQCNfYuLCBs5Vh73Lm28LE0I +O98MtVIhcoAu9aFDjvvi4mMqk+BKM8tASw9mMF8LzWAGXLvyVMm3K2nvYN6b +V45XfRkCAlXC5aFf3KQuH7eZBdqPOrMAkLjMgvSIrPJ70ONOVBtNil3t2wjC +ru70a24xMC1mBTgg355+em5MZnhxJFMSabdBh6AQoR3UemgaY1kFrOJf+IHy +bX51AJ8/XZyj6hA/VX3A76+MJRd6pxzN7DYM2p0wLR428opWrV0chCdFvsQw +YCKXwq12MNHOezl/j7jzwlA2llhlp1PyiD+i6+gwohQnDM1e2IjoxoM+oxVB +MuRYdTTNqhXaSDvZzIdrnreVebUnNksIgSHNFMUCQy6F+uQu35huxZKLtzvX +qSQaE9wHxHKSkfmAtCT3lubORHGYK2nFlX0DvgwxHzepzgSCXjoTlEwXEl1J +DLR9ZyJrNVKmfETJwTKkUzDi3MZ+V1tmSJJaJqnFR3vj7oQABMBhb3qT8kPZ +9MJ//TAuQwICtR9q4CDd0x89+K83+nnopaO9VmgxnIISVnfZxEVy4FG5dzZK +GHCscLciEPGpSVouHLqOxcbhl21u8dIzP+XHv99xa/TXo/OAOqnMa4w8WxOk +a7+A8aVhawFR871Kar9L4bbsR+ZHV4+VnRUdLSjvd0zNxc4KyhOw9fZrSK16 +tW20LjqoGjNFh3OcNfVFnf/cnBAO7JAT5YWnR+GZnBUU9z4dYTPhOCSadduu +HbW6S1UWjjWJJ7mwjc1bp8RI7UTcSkcngQUuU2lX9CUc/Ih5PGPdlukfLiTx +wTxmRE8u/Qq1n48K3YkKKD+4lJ3NdvViYXYscPPE088Mge/YksZ2Gq/cJLWF +FkLcLGWFMljPNCR5Tw/VL12JY39hCqthkaomTEbgqgln4IyOImHye9dldLij +y5hCeAACIF24ur/EhV1FRXg4+ZSUQxsGluCCQZ2j7D280IXjfCwO8FA3FQb9 +R7Lihf/6UZwV+PUu3a2UTFp6JN61R9UQ0wS/AQGccr9F26Eu6K2yssVXGaqa +qDOIy8XucjZJQDLw1qY4SRh/8b7onc1fj/6096bo4zfI/3NtzMaAb023yV+X +4+5E/fa4C3v6EGtuaW2j926wiYQ5vA9W9XjTjTJcUQF2RHkG/gQSiwY/3uyU +aL9ysBKQpy/s5P+A98CzRMZADDOhaxDDcqmIBBXFpXKPkikneBrMBlFicLWr +bTiUNZ0a3ElXSWDAKXTqHsEEFBMeUECKmCzZQsPyp7Lv4SxJpAqndKrATUqd +ieIBqUHSagXzCEeF9MVDd0IfNf2LkQyZ0U3pO5sphHK0JrgpARRmIhlYKkNL +bOVuFRIqE1gcGzeHOxaX4VqD5P/AAv74TG2f/DorFgZ4kMZQuM6VCjtMqfCM +LRWapJGIEQSe+uSTI3a+kBhLmiQhWDxnCgdpRRZi/oL5lEMlvrgEvF3Vhbjc +IYgw/t02v4H+VvsCBjoqQYSn7S3nGs8Fkj+2iIBBdkCY/mB7jz3q8f5/S7UY +TL3w/iY6yTreZIgI3Yk91H6oMV3JNKjGpYMYciWdDrspkR+8N/7luvwA15Af +kCPhds+mLZ9hI6NVNSeCndUnOMH7TalH8EHzrEWvgTvwkir2qgpDy7zRmnCG +DUk5FuadjR4kOtSWCe/+YkLdpA92u4xMPMF+8DStlaO4RoVGDBY94kULSpVj +TOEzZDFtzi2hUS0Ix4aoaMI1CFVYZ+FbHI5w3a1SCei6PeqsGbSwYclW2RXR +1JxkKrGI3m/7nPOKd3m37UVUFNy/lF5RGFRpEHkVGpccYD40F/OEfdjRUiev +mhtLKexk0y1wKMjC1hQyVGY23VV7ggwlGqtRXO5UixjxnZ1eNYRUwK10MLAz +UdYZheuCYqjBhS87KpbE0J7SQZinCU5X9ks98eI9+LhRYARTC2FRBl3HFCal +g5HTz6FJWWMzslMqhqsHyjyB0G4YwbUCMSQXXTtYiJYv8Dvqvyi5oZZhhTAC +SYbXXfyU11oAPh/oauIduBlKi2HyifmAEoTdb8v9osM4VeqYYQE1QKFR7p3d +ljCEe7Ms91qiK68PMZNA5uAyCfztMom/TbOMf7vUoRTdek81pqntupGpJx2u +4qBRVLvyn9QGldhi0ejRoiY9B4w8XD8B9QXcopS2UzvQurKDDtiD8daKVl9f +aBqEHnKQ8zBVbvYggRZmoUMZVsOoHo/kuWcAwwBHs7hav79uUPctezUtW7Ol +HOGSVtWdKq1wi+poJTdRkf5l9nJK82GasGB/Z7pUgZEYVKQKrcxjmgQanF7r +9NOkkLoNr7YLqZRWvV5P4TSV4DE50kKn4j+pzmQd/+now6O8D/4TaphCQfGf +HN7QNrosAOEY15BXj8R0phwbCFwLtaJuPRWwQEAiwIUhPb5wDQVOdHdW6LfS +JkDw6SFVjOxalFf4gE+hOHMP2Nv/AGx0axrEubG4A9GLa72Senz46hxUELSA ++2IMDBfTU49AlvEzXmsMaNmjo6PRnV+aiyKkEsKEXkadnFu08F4n7518UVnB +Gdj41CQvfzmyMPr9zluj4xu+yVSC9itIJbZ/Obpw+Dput2ueqd3wCot2x7bM +B+tnHT+qrN1pkTnoWYc0LAJ0yPmtduQlPTeXnlFtM3Qd0Ins9tDQIvkC2pHa +4AVmD5f2Vzs9M4JQ0KygADmCyy7od38IliHMF3A7sHXaQ1unmICt91K6qeec +eAFtDsuq9N6LJgsFq6KjqaTqaw4K2lVd4VqOSTZk0ouhXbAAjxWhhb02mtBW +IUIvbq4UPBZ0Chagm2AZUqOZltlrjdjBkbNMokAthQdViqXYuUA3cWl7hXSI +VgJBq3VYfGKkbkRAA/u4+ZBLjDT5VDsq1diCIecFlwhygw+VuMkY1iIWEJo4 +nRAWdhIFMjPAQJemPaiWBBLfI5AKEAamH4xd3exyilCdFcJAoM7IxVWJJ2Ov +sFXJsPnjVHNzc8C4rnlcYOGRnaXeaHMpwq+Gonc33cJVUT/5yU+ovVrz5P02 +Rdh3E+5nmvyey1zKqlrpOGTKsadkPpB1oqaAAVxFO8QhkTj6hDKNWDdst10h +WSiWVVWBlqSL9vM7+jLZmRhUarAhcGA33jQxM/BtwRWLAhrEnBATsomdNl7b +YTDhygHQU73Q2+2fovTzCK2fYkb1pd2VOkwgo7pN1RBoObgHxCQIkyMcNaXG +dMCg3qtzhObZKwcnvBJa5BxFi/TqrTV9HHkuThNabS1zzxS9m0uCCjjtbXVB +sz2PCqqAqKsfnh9EvUAy5UhCbQnSU4dWWya40XPi3VBtDHMYrTlkCPoqWCoV +Dy2BWL7mUH6NVG6PSH1xfpOszluxEC//4UKvry8GVX0x2CAzhk8OlgwcDHK+ +kU2HAo4jhtP7ER24vFDQYMXnYwG3oEHkkAC/btVo0KK1Fsgd7pXexAdCpmSB +8ROLCAGnetXdllPd6xGBnIhSWilh04cOpgN/PTbPpwPoKuh04Mz2G6PvfP0m +ZxLDSqMtXokZO8XoTkOfnmZSovW80k1uGbD5gXKhjY3ouTan4DGhpOhS8dhz +ATAC78g3ig2CCfCe1+0GkCBqHhOwfFORILioepwW9AH3AdcxxCz4PZfNTnAh +1GqHDOJE36OyBXQktVxrQOhRyVnG6ReGLKm6VRUOgUhrkj0QgMJYSrbAXdMO +FHIzFA5Yw5RWOBjwKDtkUHrr8xtqSTtniqnEzrnLr4wy7xiUCC6pR9qQJq1y +HgrY8nx1d8kqIoTqREBZPWCNnBcnGpHgSdN1oUOSA8AAbsJ1Cad03VexBElH +lgZi4CEmSjOBFcPp54Y8q4mkBawHYo8B755PD1Wi363/Z9YL08/eVHf+I5+w +nz1CTsLClO4BqO/FGyXi0T1wg0iJ+EBdFUS8945nemChgcNJjDCouLLtBM4p +sODWU6fffaEL1ZZTbIYKCrCboKBguZCTo/9vvx6IPjiwJPq315ZHE2u+F3YH +zNFvsMAOJjKxWZwqHzLsTlRSpFq0gJzszYwox1i9905o0wWJ/KTGCvMKc6cs +9tJvog/jswHNUjgzNphxDAeTGQTbcNEyGIw1FekUhrxqPXqS8i/msfVY9IGf +TQR+oNTaV6G7fFHSBiy49uRICwy4UxVqw9WDqjP5JRFrHSnG9lBNoq7QHUbS +pNZwDSZnlNbjrXNttG+OywhmHT0kSgTSoBvVue/X0GyuuMjX7syf7C1wLeSI +Gi86XZSyU9axfm59nyYfYBzB1sP6vptSlriQdNCpUnrXK0x6xX/vOsa4CWxH +gHYcango5LW5glc9jZPHKjHezBjv8ge65Pd8iq9+9as0HXjwh990hzoezcd6 +h6edVUsyWJpS+98i3cLIvE1kDrnW/P68jetAIBWEfOO4HOZoJo5L6o8K4SEb +6aAhvJtJsKEHtLYSXASvcxCRRAPvtUafvl2N/nrcHOq74kOdfipxjR99/GZv +axpvWgygOnHPSbhhComz/ZZbYs9HSr9tsOd8acCJ/0vD3QkrSN0aaPRhjq1X +yNG4TELzofH3ua39/t9oSoIfzbDnipliiumzoyPkY7V23ns6uOQDzEYqqgpC +UUr2DiGVoJrKbboLjJtWD7FUKCjSEjwcEHhMX7AD80ixyUd2o/QCwFeUwuDU +j++8wQZzrnvZsmWX/+uzg59BKyoidjsSOTvybZOzL9RLXbFuwR2iVDXOZ/S2 +f7akyYSvLwTGKwzjrKrcgQiidnaxrF0Qu1QYcxtDGMasTL4nHgpbarXk8te1 +A5g9Hi40JLp0SKSu7gd1ZQpdF/IAEJhg/wStuuZkYj5TTn91f3xcM5rzclz/ +bpXtKJ95aTDDIxwVXZF7yGomYRvmi4efGjZItba2MpbtmtlQ/hSe66ckyPkv ++2c+4C7v/Xk7M/bBWAXZGV05UQtU0xcP9UV/e8Mc25NLg2Mb5GMc22f3fg7R +ntXDA9cVpPsiWM7rWWk7Z+dwY53Yu9iVMkNS7euV9i5221VKr/fUIaVvC+O6 +W8mkXUMOP2GMCJt9HHdJHCc3zAlraLrYMAPV8OoUOc5u/1yj3wxzi5c8UTDd +hlCeI1m6KeVD06W9lEU5yXSj5y77+v/B+Ti9O7zwyRq8ZtHbW7b6B4tVrd44 +tvxW23p0RCBok0z0FuJlrnFyjeg1H1OA1IFIbUjpyY8qQSLGeajGUwVIMC99 +tZZV836fwO8uLYyXsMXMP9J695Ru1HanztWQPcJt1VZ1GbUzAj5xNjPiVg3h +0TXNBEBHn+fwtqplArRIC86RgVBTsy3XpsL6wmu94Uamuno7J9k6yECfHq5E +p8ducx1+7vNLHs5kDrdLiLsIvjRRhQn1UcT+MbROP5kyecHLBoQfifMCth/N +xwD3C+O90a1z/S7qW+LQ9uqmMOpBM7jsot5OCtnU36sz9zNjJkLeAYfot+VW +Bn67T96/+pVbottuuy1a88jXeXy7KR6P7x1fjv586Ibo49+gl8N11adK7RL1 +mpDseASBrSvEDslddF1+kZSq5n2Pb7pshY44CRVl0BT03WHAt8nqKJ2v47dL +v0lknqzyYUOI/VblheDc2/EJJ1dxS5yTOWm/FQcNvXrzi9YmYICPzS/5utgP +bJcsNQCpyIlCcyL2fTJgVU70cOxH7Gdt7L+rpc2OSPx/7yghy2Zl3R2bINct +Qql5B9RWCXhUz2TDrBzBKZAmIKprvNt4b5Z4V3vUkHhTVdSdQvVbENua1rkW +5lW1zc1o5mx2a5rx3blMXI7wSrz0oG4ONzdm/8dcHxPXdK4vsHuOnr85pE+a +lyFVS/SsSXu2oj2H9wij+s87r7e9+7HbfKS73rvJ6e3kvkdy8U8OW0cU9FTM +x9gBiDfLMXwSznMEtYH/TMA7NEj//tohg/blrDz0w83xJE+CPpAp6aCnHfsT +ceoeM4jvMKmteSkaEOyDsZqxBQEc/cfeZdEzD1r/M6xBoEnJpjvkRJ9v11Mz +wltTBv90XXuTvsyxExPMXJNr5GjL1qfmedPPjsYZ8Xi/zcnxyXv6Qm/FQ/xk +HeZ29VNb3V64q8fYvmdJrnnFaNS1+/M+l/A/0SZKJgdwy+A0ddCtfOrXxqxJ +YQG82Fp9zHeprpyb9isTpRMFp1xMiXdLCmJ/Dk3gqaKpoHp0rC+L9nb7nnxb +bHWc2J22p9DjY31OSju9NpsUSO0pemoYsd6RcBkRO4FJUCUDXTHyBlqMFNR+ +VOczZMl9dqWZi/Bk8EmtjXmK23FQN1ajEKiS0AWDh8OdRqTXUPlTid5fPZSu +/Hl8LkIcWHkEh8aVAypfNx/jhEcznQf2rirHbVU5yC9s67V65vsX0kEbIHGM +JWQiV/f/LfNESPAv7aY85Ziaz9H96Gb7wgZKovBEv6yd1iXMA84w16w80YlG +wDtllumg9L4+11TgX4qmN1pFMaZsiPR1j97ByDcIYPXL+eQ8f/Lx+UHTze1r +SbNS60Vw19ROFr8IVprxDRLc2suANB8T+LUwuBtS+mrQIMPHJDcD5w+FeZc/ +1BFU9T4mshFWSIFyT+h89jBXnGBXA0Ad0OVjutPx+Op7bdZZ1dxz9B1+2ybP +RzizC1+ScJaZ/bU7b1uaabQv7bv/k8m4TaA6Vv6+nkUp/kHtuNYW7yq0cesc +hM1ZXdThvHpmAY8N556UcXkR1wYSyt8zawYyDPFeCV0cwHwBTQI/U+j26KUE +SN2d+r/oe2IcgNs2l1LpZrpVOq5aZfqgxCXc+uRQqSjBm0jFOQnDQ4kWh0qk +zAxK8CI+8T2/v4YskqOo3xi8V/ZVeAAjeN1ryFHfN2+Ijj42Gp3fwu2ux2Sc +5lSAmZvsy7hW2mgpwQvx8Cl366k4eD29d9lwLvpgB1/9d7AA8beYcH16smoL +7q3Lo/0vKZeQsbuiZx74GvNzdrvWj2CaI0HcpDpq7hRGQo5EXK9gCTzMTGk+ +pJn9STd1JO3m3w34euhVmFtoriOq+/FnyU/L2HLDrmhllbqjL9OshmiOYScE +PKskduoex8Hh+S+bllwrXafpQrzLVBJdNt9MeH7EGpLQaQCKP4x1g0lZvGlh +KJNXObr2PDaxnmG/bQhB3K2G7GqeNv7sdxe7DSh3PfgN+78Dp35pivgm7+N4 +SAWsb29tq6AYLzSozBrBnEK2R+hjrG0eUlGryNjdfmpYT7mzvhPuV5ENqHM4 +bbzNSuZb1zOYu/UM2+lu0PnuxLW+uDeWopxN9MsUsR7hiVEjzuerB8pksJl3 +nkqzmYHLRJIWYPMlgvFpuI46GhNM9HCO8UtJHY1EKgkaprTGLZNdd0sMf7Qv +HpBJDAeiHYlhG6+eok8hn117kF+W0dxak2d/9CvOnd4p23VnndHlX82N/rD7 +C4xZL7xd873o9Pg/M7Y/fqvPt9FvEUnf1TeqDX58zul5o6xL0fsTzceu06bd +yNxaRQ7QGNNliWl003Awu1YYPjbXsrg9jCAuCu0epqVXjsSKfyHMUbrXKnGc +oMoxx2YfvaQcAfRcDNuWc8m5mHcpXbEoHnorg1Nvco7cfKrcFMaz5cm1BTw5 +bjLbTB1fsBSBLsYu9x5ELNPPGNpIE8t4v7gz/3erhi//f4eL9CWWJvlUtL/g +ae7vPzfgwho7AlyoswG+UEU0QtTaB2PBr7P1zHMwZc5f+vPMyIC3DJb+lJE1 +JTXXp1Pa2GIbZGR3zBjZamKNR/ouOhw+2vS4WotpmjxbZU6K/rVp9khnn86c +qaefH0YmPSSRrhPu6afsy2TAoAW3FyfqaJ7jh0HiOooaOwh2aZrNUEqXJNjV +ZCyzTKBa63HCYF8kXXOYh3HcnfQq5j4Tk203I9gbJdvGgX1hajEP7MPrlT2H ++Rgg8NcT8zPZGSR9Fw70WePzfn+S52eyGtvRL/RaS7Fzyl43N2vxoW+lOM0B +vR5Dcq+6Qf/t9UreQ0C3YskhrJWxUKZJO4I4gpxOwYtJKr3uu2HsTVv0asJi +jAhi+22oE2Lxnt6o7qT97SECWMfzJmbk6Lu5bM0hAdagdPqIp5QGruzmbYqI +d8NwWhBOUYQzZiptG/SNGHlfk6zck9jNQb5Ybw+MtS/YC9azROJfq1Wc8h1A +tS/OzFOZ7SbOHV1lOMVn4/xY77J02lo2jvy2ug5a3ZcxES8ePZlcovMuPXNe +vlF11/y98SphoCowgAaa64A1fDYMsA62vbV5AgM6dX/w3i/br7K9xhbbMjXa +Ntm3BZxH5nUrBDi3qZ8IYF7+wD3MnAdAAJPTQ3hJpgO+37V3t/i9pkttrAd6 +mhAGcAswwIbb8xYGhnXevnxxnr01wgDq7em57Jy99eodwXEPRJDjPpNXEr7p +50IJH21A6BXUpIm0adNxhw56Vwpi2yCCnZwPxQKbNp/Qe4r+KxyyBdfFiijT +7FcpOnFNoNR/dEF09TiFg29i+5Lrx8W5vevHIbcnea5VMAHr0IJR+fqhDHcg +lFWCHxiM2g3Ljl9vCTN6jTowgQ5CncAEDOLAZPGMGLdr0WW0JtMveDhAnmGi +HpWdG55zGcJU0XJp04T5TWMOEfBbm+xgkdCot/htUImA9/t/ue86XG5kZDcF +TfNEml+3iVz67XPxqbl0D/BlSRqbqbYHEgw2TMVRbAfjOynbzf3WtM78vtLS +tMk4tw/sKXOENiSBj0NecoJZAn8xAz8f/XnX9dG6J38c3XvvvXbOPlnOXK8b +5SfFOObsKxztHqP2yoQ8pmHSQI+nA7fZr4Hi/uJOrGA4huc5Thnd4YKbnuEM +X2Jfz0ASE4b9vXL64+/Mi7zWtTyj+mxI9a+Z6DFBH316yhz6RxYzo3eHPnWx +5uPfT3yJh74z7zg7PuildxOPLYildzUf8lZDF33ym7rheVbtTFQj84KP9ZbE +7iN1wmccgf7KUaXJBw33cM3uTBzScpm6NesHKd2VeM8naHG+SbBuOFNNLjnw +S5HFNox+w6VEDaD7dI2aO8MFqnqjuqv4Ge+dJMixDCDhTVNc0YiDHtddw2df +2M5ZwgnMwFLJM9TiHcR5fYy+f8dmcBCWXl1DurSl38NAS6LC59m2pUpGW5s6 +4F094EWqYSlg0GFE+3lr8xwT+Yv1YnBHcEN9Xk3htiVVNHHTjsl/Ts58jMm9 +KmWyuEiP0JVihUW+jf+sIqFjAi4g4ES3eCIBgAypq81ytn9sctOJF74brVix +wrzXlrDG71QHPKIc0W1y+SbVZQc4pHXZZVyeYd7fKaf+h1s4R+NSUwn/QAoT +hv9KIb/j9M+s5rVWDs8HBgai4eHh6NEfLY+2vCAGGavvi97Z8vXoTwduij5+ +u68JmJCTcL94uC966j4ZhJm/4dVT8VTZZoZ7S3TlRGjhhfma3oUI1UzFB3lO +tdkTu40yzUp5rwEAKplWH+ROCaOZcW6jURvutSUdvPQegXNb+22Qi4OXBgCu +QH69VNFOwsk1A5idNyrqXNKMp99HN2UxeNS+StCU/93zXLjgl5xp7b6J+Ax3 +IhZnoNMg77+yv0ziq4T5suhYihPw/jm+JZ9VYQ5Gi2hVyp73ptd9+Qdsw7qs +A4WOvzP3R6zj3+ZvtGKdfbfd6aEy/bkxaVXx19ZwQBOI3lMstBxZxgR7Szw+ +txvBXMowimtdEunahzvvIz2fHun2KzUGx/3ZDQNuUEbrzW4J+k+nKtG/j32J +E+f3N9zI1ryr1NGGl+M8k/075mou4lHAgZXJiJ9+qN0bfN4o0G0i/lp6xDvy +O4myz/FaGx4OTh3uvSvE+Iti3HPq7rvvjgqFgqXFHgS/Efm/ebe/bd6rj8Qs +VXPgK3K8PeBhLt7PFMB14jBfG/BaNyG+abKrOdERmn54joydOTJsfF4Zsp6f +bssprPu01hVs9W4f1w0qWfdsNp2sJ2Zv7l4/grpHBXVg1vlav63dE016vIwm ++O29YUR2e7BCxJR1GME52g1JMcfsMvSGRLPeW5WvpieqW1M0I2mmkbeZyb+H +twRrN/tqf6hy+EwuhRZngrvLB3clZZuX+ZiGFl2zd+kT2Xs2pUtf0xN0U997 +p36qVovp1bnjrKPFh3gG2c18W2mOWZd2VJriMXqsQYHzTT+uub3fcNV1hXx/ +0uSmLsrrkvqcMGLQ4+P/7Vk+/xHoX9mzf+O5W+xuvQ1fy/Bav2T0Jru3wPfg +/NTJG8LbFPns+vVJdN+7jB6cVRXdgbTli0F0O547jnwncHOiNnTzPxB73w/k +3+DU8ansYRDSZcd/3I7UH0nzO9xP+FJs2Hly9eiID3ZyYU3WrHv2OM7jxSJD +doFZNYUOiweDDtulTnvXwHOnfWe8ylBkrSKRZ9St5vjrN6U5iPx2mcwxY9fe +fCZjd0sDYIWh2e446JnpM/LnMLpbmLHrLYbo3LmzdfKxeeziNYbRrjaDnHw2 +1tlxteFh/iAJBkjir0yWA8W7Od5rsQX4jLFub2c9TUYd5MtJlZFYb0xhxF3d +VWzxzleO/WYOb2V/VaRnbvc/3r9vloD3Jrrr+jMFPWOvs+LvSxeYtyiZOm36 +/w6Zupu+u/4+2vglXCvFVrc5rzIhy2VnFWhQbPmHIr9FIt8N5S5up/fCEbxv +jvJNd7gUPX7vEib4SPSvTA7SGxFsDWb5JrNPm9rhRXZTO1MIcMY3IgBweaIH +o7v3FAAEQpcQAAIO/EoLADjekeCvktH8R8KYfVcoOKTTt1gAQPKPtQLBupBG +OfLP71WGnObov3Ss13JwCAVlUu3auDjAlQIyja+TxbJEOFLLcNNQMaFtrVso +0JlS7cvScwsbcxICV/+gX87HtSaPDm2CDpj5jf0stPvvVGXA0SfiUh7I0erR +oUtx6oAOLrFBbmCS/DYPCM1Clcci06TsxQR/p6T857f11qX1vbFVb7xBSNNs +7E6R7B/xp/slhDkO8BwKNKVz5Ro8CswXrhzkKo652hSv2rG5PGhwLpfX7bSk +7LQ9rY+/sbddT+c11YamVnPTxeQ5gQEQ6pxtTZoBv2jSybUbTmviM4UQJOhU +SOApqwdL3TH39e9Fgg71aDwLm3oHyiTYzRUwuLK3En3nqzdFSKBffPKB6IMd +S+hQhMieearXGEz18DGY8eahbAsuElA48yJHfAzwG+wL/0cXyfWgEFDkHw2z +gvEZsgLcz3RZUPDLQuo4tjhMj5nz+qfKsHNvv80YCApzlFJW7wk4u23Q6uey +UigEHlvoF/6mbKW0Q7Fvp5XAuqUk7OlNsaf3dqk9xT/HlRM92qmzrt93qGbF +NHTiaxV8OL+zT/n1kW+baUtZRTj5y3nkA5CS1wd8IAAgosZ9YWH+H6aCsLYG +vpXf4YEiOwtQXNpXzcbtv7zXxzKzAj1/NdsIns/jfDid555dQ2Zq/GOxx6a3 +wTlU8u29loSmDb5SsKDouV4pZRwVtqDiXGHDDKVAj3q0sszNx3r02EVfeDtU +qy4mAjRpjXmy4A+SEaLB2gExyvRAgOhhA383ulDiT1OWkR548Y6uR3FMO+O6 +BSc7WbMI+YCVH0MAN7DhSS7tsuCKIp4och0BoMmLY5764ZfI8zH1QPTpEVsl +jCYY8vjktKGeYsjjoZxKPTjfzgmXCRisuj0e9F0fR7zXy2gwIHX+QXtgIC+A +JZbLCxqIETmdFuAhRckiMvUMXJYEfp72CpP4d2DP/dtyR8p2Mefy36jMMtD9 +16ZZZ7YM5nzYt6p6AdJ49sXMk0ERS0hoTWkRonhA0VDQtlng2ie1sd0+7JsT +Vt2ucIFrr5r6pTULij4zyKewfdz+j4YURi4ofKghKL0ZnIEOJCDQ7Gd+0iX0 +Hhr/ej1JuVUZBYII5Hw18Tf+7dcRZi+bP5NbyKdhja36f+mOdTfEvJ4sD3w2 +3h8hMc6Ht2r6zcCsr8ijTbqg2/pLFQ54Zez2yhLp/bmmPkI+GBqgDnhxEIO7 +Gxjyed/MF+48rzLkByTkIW5j1f7MSCYXW1PakEdJn9p3EwJ9RUIevT62Fp6a +m2E7YCmDutHP8f597Wh0eM23XREwlEK7dd5pmjNvQtxz5n/3nO1SnN04AHLl +cXqrcsY3VYgWVbMg4yEmF8vLqMUy4fEf8Omtk00Lin53/ENSmzz+uUm0j49t +DOi7S5YsiR6429Szb0JrKZK6lpQNxG5nmFszePFQfHTjMTLYl0hvVNtG3UrR +6VWjxXjYl+Mg3xPxXphbwuUG1Ql0tnhOI1vy8d0kxzpct13aD9qu+TeH+0Gr +0HUGHJ+35iM8Za5/5hVq81M5u2gVcvFPrwR3XWDvr/rWQbv0BsDo04/Bie/1 +8flg1M8p4cZ+21CQxsC4LgnUSX+NUX5ArPBdhGsfuvl6v67u27UopesMZHs0 +ByTCy3h0Y3pDfwkvU/3mlTKS70O5OtsAD+GOnJ7UhueGlskJbwKbnXtp6dPg +elSZ2LtK3afsLUzLQanHnoKgAWfSeMT5+c19tp2HH8PjorYZ67dC9UYGZ6Mf +//+3Xb3R77fcGq16/KHoT9uX9arMHs2+ILO3GzbAwTi3iS/aMVoX4OvQycrg +wZX9FfwgjqMaOcFp3mtzcNZCy+oCHRG6Kr34jzT33m7YaE0e8hdTin90C0fi +VP+PuVwuoPmWvZwuN8vqYLdW2HzsT3x6WP1Gznq7OJCRHp2fUERguzdUrf+y +ebzXvMvO0cIsKzl6faxban5rYI83/cxcnu1Xj5eTy70GEd0c44E3LM6XvvRf +Sx1dszrZdUfw6pFyhnMCt0lcm+C5XaJk8rbpKZ9L4j31x7y7crFvrg3yYMXf +ukE7+pdOfzWarhvjjUWTDHCxjQolcL97kqIH19nLsnPn2nQ55TuNbt4MZvfC +v6dwpiPRxUfbgHbUzYnl2Uis56vIRhcwJbJpcv8iXecbEu4y517pyyyOd2rb +vdnErF+MWpN7xnuTKsi9m8WBsu7sf4bExjy6Fu+5sHxcN5C/NFGliL2d8d3M ++CZX12RY+Pgvexcww39r/R3I8IufweBJJPhM5tsFCgwE8C0Eyew8XOsWKJj6 +WTzmu86+5oEMR6DgScF8c757Cv/308989AE/lMc86M78hRYHUhnAVY8DGeuI +c//doSOOrvZRxGtVHXKEUu8MbtsGDiCkfLuUn0Va1y33TPZf54zZgHsDvs/H +zVzcKh738hBqriN/8rm59uAfQfj3SPgnN23IkJ8cn6bEkN9V4PDAKeqVPG5d +sG/s7+y1XN42b6IvIe4eFewMduq6FJIPfgAnCg0WA97FwxIYgNT+IxPljP4u +wQC91o5yurKQ8nSbDtI41+UPzOxUl9/k7Kz8C6qjz5fnxwus1bRzhdOOUcOz +e075lRM2+BsTInerlKtwUN+ZUMCeWTeQGdXe8jjYnd1FTsW9OdBpX58Q5OD8 +F0EOe/idEvd4GnGt8Xr2gsQ9gllKcBJ1Uc0fX/fNaPy5+5DmdydIO05Tm5bm +s6rvkaA/96r9iZmcnxJKsER9rn/XDX4CuMi+zoF0J4z7wOL6O+kpgGv3uRQA +4gCkAHa6kK/qdB/LONDtqyH0axL6V9+oxjxcIfSXfJpviUCavwvHjVIpIcjz +Z/DGoQz5flwMmk2M/r3N1cvDGe2gn+QDNYXx73ZvIQnQJtXI7U0SkPeh3+lk +tFpgL/szyOHXBB6X+IPs73W2jq+bZPigMpjj4946W+a8uR3/T6uHmmI/3Dw5 +fMGanueGMzbvp4I+KY1fGe2nDlZFe7ik7vwrvT2xXXRMv0Ny713l8jb5hcWr +AQrXymf7v1cCHWM4V+7zWjmFk9OX4OQkTnnvSoXNtduqbQmpO5JvU8UP4DJk +N4WGxNAOX+bSzmp/7Arf6KtwnOCf0bI3xT02oiOujmrfGlMfZOglX5MIV0Rc +H+F/2Pp5Jvhnt93S9g/Q8hrw2KpEuHMkvLirRs8DFJQ81i/vLkTVrga4z7nw +vlfvzArDe7mw9Nnb+6Y91hG6acc67DP8sW7ds/LgAiWpvfgBOCVuzmf1pNyu +m0u9T4/061zWH+vyRnAHFX5pziwCPep0R1jhN3oqvuPtcD344VrLDMk9Gvjt +Prg7SehrSVjdLaYON7kzo8kHeUtiSQ4PXRHcdsatuxxiVrP3qN/JKdWtY/A4 +Z5yy39rbJOf61cOlsDe3j+1OzwHSHvhijGN9LbN/1Ae6hPgHNqm3Ia6pd66R +fnELQukAhumTtJ5TLfmZzKv8Crzdpa60/dfYLVOIhbOxwRQEsmUJczeXYyf+ +ztRk3oR5tyTzentlxce4dplDaWwd6PBOnCrWUsZxyv860YtnbPclRO/m70xB +D981xfYKTUV5Gck7FDmSvOclxC/trnoeXipR51WmrKTdf3KkxOv8HxzE0EsC +HK2Zkvme3lsVz+sWxqF8JtGwezIGAE/Kv9NG+SIp+6fFmvqaRDsO8Hsd4+dL +YfLuh/innu1ET+MdDCg9XRcNOk+8fYPy4nBep4V4WMPX4IO9XUnyNH8Xh317 +HOyhwZWb2DemTPNdGs8UfxCR3jzDOgs09hqUehctPe1kaf5N5v6wZudfmOj1 +Uny6UW/vs+z8rMrqnSMe6fO7ejPVhHtOwr2WftYtMccvH7Tu+CDzPmqYwdiW ++y+o8nTGttkV0Ym6jVZ3sTEvANCTLrnlSoh+1VhPadKl0vMsmY/0dmtm1RJv +to43ycBykh7Ro+lL7ucohp7bV2+es46hZ/v0pYS2Hjstuz0idEuT3pz0Hi94 +rXe26XzewwFydjGxQQpzBPAfyOgv7qhluLZuvmLgunLbDto6eeZPv/QNVvQm +q+djHGnHDVjJQcDC3EeFtXMEq3p51Jsj3g4Vf8yh4nGsYDuB+p5IsPJf4mHd +AvsiL5IDOwUJVgkSkJ//VYsEzeq8f0/oPM6+eqU775dbJMCXOeVy+Xs/38Rc +nkjQrqR5Lpdno20XDWZ+C6jwCT18Meucb9u1BUddQb+73zplDakRHo2wpCWA +hl52loS+5JEgmxDqOgoteH+Ncg9IcGYsbguAs0Ouz5Cm/Km+PeR2VSBAg+rt +eR4ONnCeKNn120g0X1Vulz+Xvv00nlsQgN07NHzkhFedPWT5SctbJgvdNuov +phz770UH4szeLah1QlsxmuxXXbsZXDNc186714WOVrmkvF75zubjCXxMzeFX +3lsiQ8+26dpYqXNvxJMpeyPuviGeyu9jnsnYRw1gR3BiDs/Yr0jsn11vs3qY +2LXG21/+XmZOgzxaecXjM9tweYFq7fkm4SToYUeL1wsgQGTLb27ViM3gpY+H +IH/oB7dHjz/2cHTnnXf6Pp7S3y8UADj9ov3/mU/BD1kAoIcAYEr6I8VoUS37 +x4wd3823Lzl6c5fTMWBMMICMnNvibGCldAF0NjAmWQOzAZs55O/VOf/YD9qY +8w8AA5pVzq+IvSU9v9edfnLwxyhJkfBvmMFlB0V9GfcGZaUmiDu6nwdxXjLN +7/VpfiZdh9uikCDYtrubLTa3KbOR9niJPr8e4rkT3YUpeng9KdN7x9Vp9NHe +HEe7ld0CMlxzQfL99riVn12VwtPFOM5HN83qcuo49pbw+4oVdVk159J6c1d2 +lp1pnfamW5qiojMRvDRlqTwJd1kV1c6Ftk5WD0O5lXOppDGPw1yhrmGf9VHt +xu6xbx1hfwox8Q9EdZP0+JRNDl6VI8UbEl075Pfmys2S2zs/QkSpL1PyDNzx +h5dGLz3902hq9TeiT49WMGRgLm9ClcMXvOEv7YUFwAn0/05gsPQ6TvAPNnEm +xwXYEr2B3iaM3inR2+AhIsVpcXqbcSn03Qn+rkQ1T/Bv87Ecvo/5XL7PlBIv +m5PjP6EN/07ZOWxcONAXE3ORhx/ttYuq2tUh7o5nO3yna+spmuEy3NbVl+19 +COA+BnDWU/bNAzJunqkWYWdoaVsVHq7eZiskO62xv7A7wa47Dv8gE79FRcGd +flo1Il7kUS8Uu4y13Eh24zpTOnXuqG8LI1h8NPQgXTtkwQev0GIj+CPzZ3JR +1Jguy9v13Nydr+DP9SgKbYJFHx+Rib5bm14X7YfwTw+Df+O8o0OXyWUpS+Ib +VBsdYcymexxb/AYhhl1JMew89ejYnq5Cues8V6KH65b+sSO5PSGYMX9naHfR +kDhzJx+Zl1niivUjdnaGCDZB7bS1eFoct5f2MAtlxJrojaZflnz94OAoLjdJ +e+2ToyWbBvzr9VRL2mO4Q0J574p2v7laQjkQ13whCOV35aDlvz4XH8Rosk0l +DuJxfRB/z4ayp9Hi94PLm01UFhDKA8KkvfpmNVDUIRVXjtW5YLJuzuQmb5+D +kNtTV4r7mbuV3TQFC2QQfz7fnqrZRTKFFDaN08ty7VybOoGT/bbupBG9NqYF +gbZVm9+d2Rhn605N05pCpHGttm4fwZYv20bPee1KCxMdp75xLTjW8js4Ony9 +0Ggjegqnd+JMtlueJgsyGvME+NA00h6xrUEjPbngQe1nadOjcmdsBe+p+fE+ +xnBUfn3s697KlJpEghULAycL7w79zLAPX71yFYebLHPI+xhuSk+Ly/846z2X +UlIv1l4WaI5xKmDS34W4lmWctrEwFq5r/VjsuREw3Xzh3Ci5tO+9j99iJ2Md +EtjnNsuQ8ZfkIMoZ3cPAtkn28oV+nfQ8+ypf1LqZMLbBnvc1+NLwmB5Tx/TF +5DF9vz0YHtRJ9tQvOrII7JoEtmPJ8igzH+PqKAK7WSXZQRG+kz5kniR79deV +QDdvgp03huO1Me08oQMl7VZqbPm3ltXgcW6ZTKfS1EEsoyk13F3fqtpw8drZ +xWTOzYmN6C03FlF4i+LGkhVfTXHIcMdy0wwG1Ry8nyix/u5XhrXoqnlQWD3M +ibk1pU9o4w9zudTrM0jeV5EnI9HulqnqtYnNKtDPb+xl8M60ycUAQUs8Fg+5 +7Bc214ZwuVti3U3STj4xYmkxTXL20iN6pfew0oQxOaUzdHpvlyH4xfGqn3Uz +vjsSCTLsmntUcON6YgieCG5S19sSFTJ+0Ca1npt0nnS8+Is7a8O4nGe4tjDE +ORf70cxzsVyiTDbHuYR7Lro8OcKk/K0Nd+BYL+NyQSLe5fLnt9I+7gQHJ3Bg +YMRfMO+/dd8fjrLZ7FQc8QjrW50oJox4RLv3wro+Ps31/sdrj9WvjMo8wMey +yT7lTnMk5mfGuvF/+0/YGZUql7vyKzJe3ykz9ptUao5WfDwwl9Q8MYwzh3+b +j/nOFLqs+TiX0Ne6ZhvKcd4bRtC3JNRyPursBgpigiu105bMFrQzjtbSOsZs +UXPq9KJ5ml8eqOrOu2bEO1+cXtyryGJZzN1OPhtPzcTIWii1Nv6tdGbYb617 +/yVuZ0f8v4dHuF+Sv1+W2GeU96Y4T2ZV/H/WOM1112rpXlVVXK5I/HuB6poB +u12dkhSD3bp5Xmc0bQFA5+aDnhCTS3hUTvx8foY1dzEl6dZUd+xz0NNrUbD8 +/6y9eYyd15Un9uXtW+31ltpX7qREt+EOpz2eZrfHbtrdbdPdtlpud9u03ZZk +tyzTkmVqp3ZSEiWKoqRikSKLWkzKlmxh9A8hJAhn/rGChgIhQiOC/gmBDAgG +CANmiASEOkFevt+559x77n33vSrORAAp6nuvqqiqe849y2+x7JaS83jI6u46 +Ia5rQ+UCW2+82JjQuQAVPKZmyAV6gYYxiSzQypwLRKMQZX0hXtYP4nGLcTEo +6/F56Ou+1KBMMEaZIP2/OzSOyyH9upvoQMjX/e6XFq6l2YEAdAvmIGB8vkty +gJ8eruglvCHHUptvz9K4XyTEtDPwjIoEs+SLeFW8RHDo3zQGIi2AkOkqeG3e +mVnkvT28qGJngnRiN3unSdWZ53WUPMqcJYDBtS0D822LimgnLHwi1CxR7uIM +ElpQqz4/GdHqWpJi7KQtrStoezeiaPqabAvdLALcNyh9VDz1XYwEUEbodR4V +I0egtLoyOtyDRHP5RaDLTo1KyaA9Lci6/vmm6RLii7jdOmWYbXvBM15Ed99l +6YaX0ixBDqwzStRSJnLpn4fxeDIugUHSVhVKFOWuiUKmcqgUcqqhV9p2LZs0 +KhEuTEMbrWuCe5mTBmhuwo/B/5l3tTM/hkZyYwHGBl19w8lgGCKb1Pl1B4M3 +Pf9Hj0/QUi1E6aaP0B+kb6mpdxOL96tb8edipGMATxp/n1fwY6f1G5IDQmb/ +325EefoKEKknwcH69Hijff6B6fah76+3Q11a8qV/XvnHBaov0ndSZ7Fra+EC +dxbz5nisMNYmkkjaXE+YFEC/F2M+06g1KFk0TGIJ3xOV7Yi5Ywhat4jEUlXa +HaoFGbQEXVNqlJAnVIuxjeC7qh0p2RQyo/1vtEWG4Hir/FpadPjmOa82DPh/ +VpP2GMRDKKA0e9AEUbZ6QPlI03HXTZtJm4+2gQOcPfSSAFkEVNwpZI9Ryh5F +yhaYLkh60TPBLN4zj7zRxy3Gu7+cjcvwZjlp4IBYId/0osSG37Dy0priZKdR +lU4aY5GFnVKyERoNL+xIOXNdnEZTjW3jWT6DtvE1lSygghP1hDEjfLOASzpU +8IZsshAVbHQPNMC4nxbES6NzcQ58jvOFQO6RS8KtOT7XB4b1cAxIjWXPYepe +Qjov42dz3HOx2EcaqsdHKz26DRSzClufDHFaUNDdpBTvNrK2wpBl/Xv3mH4t +/TfJqdcnuNtAtkBGWL7Nl+NNjxYSCEZRV1/GFpXGjJeeG7HeVpwwPBYPJwzz +rxzwtzv516wtPnLb1WP8uUSPS5hdYsMPiDBakStcY+zht5hDWRY+gNAFYpog +JlcluY+5hGnzKHTIVTo7uNLpKiNiFMU6McQfPj2Mb/tvGlpLBPQBaY7SyicZ +tVlJeEZgDMt6DfGLaoYIhX2OUOTsN/X2UTtvAnlkqQhPTBnFgHHlvBm67dIS +Ms9ZSOMKln9iTPpyoViARwt+kXRLXhslbtGQSkXaeE+DEAs2FZU4FX3wmDPn +oPLkSMugiU3PQx2PTEOIa/jopGEQZve2T3asHLfTypETUaPXWrHgrRUtyuhA +M+vQAo73gzUHcf02BVABZvXRjLOf55ndshElBOh03zeJzNMXUeqrWqW+RkTM +58KBsbKziS9SpcLDEW+wqW3maXX/vXXCAMg4eECWmAEy2STPjY2ciKRLAX6/ +6Eg7ZSLtoNVB4tGtDraRMvZocCKyCOOHpmwi+pfjqtV5adotKvBFv2v+NhcP +k7nUK1ip2z4HjbHuc8gC8pubqf+5+Dz99SkDrfywzxpwGaafTx7yM9AeidzE +2GhyBnpHPUaKKXIqU4/Tk0vPPubcRf8McQJjagIGKliRmGxTis5YkNQ4A/Wb +7LMmvZJ9JvsgJ/peJSskvvWbhpEywiQm1CwZt2RmGKSd9KWKzvxiwWkC3D/X +ZzPQRMQokLquU02Eq22lPHeipTHj/VsPuA62PvvlXJK38KeMaqWQfuz89LEp +A3/KK3KzN4l5eiKhFEUVUY37KeE4eaPWk4G68b7Zks1Iok/8ydPjHq8JsgYN +zkihXzDbARvSQ/YaoZ38FeqSLo2G1rApJcEftSnNqnKqg2LsyElYhwrcQSmJ +GLjDoMpMsaaKAH4OwBQTFszZzDQViAsxmpmIDFu5rxI6Esa2ImSAfCFcpIuH +WpmYJwgDlWj1si0YvVD7s1TvV10RiQr5PVSAVRyjd+fp3RYS/QIRE8jfjRqp +J7mROvhZapWIlERgu/S4oADCKSQG5HHCClBSuny0RdUPklLH0Me0USSDhxr/ +FH6KN/9h0eobmozh05v+szKTcZsr6cyEPS/eto8rE3zRjEtWg5KszB+Kuxi2 +0Q6KHOrQ2MzOk1Uy5dhaNVUeMInKY1lihnx2L/dt+Nmcabbfvs+1bdBXmUWW +Gg+oGuyokFF2K9aWmHTWxo21KWWsRsQzTcyLyUhpiEfL2rw4La768FgYmPa1 +P3Sy62WbsUxa8jga6OLS7s2NhYKpzwMEungNIwJH19ArYqmUsmqbpLWaIeBG +HzfbBQUCOtaYonLIfMgIrc4m1OLlTcKKbYiNiAInrP6IOhrmw10WwXhfknHC +CD5xmoqqXLAhAubjxgi0oz9AaKmlUUd7h48D7rIp8ojcwYE5qdAdWZoHU2K8 +aWNiLAuqHnMy9FHAF6BV2Y9J6diAOYBLebZF30+MiW90m1+/+aqoRAXeY2TY +o/q3Sbw7wxkJGUrG0BWeBF96UfVwx5tFm6hKXPp89CRPxr+/Pmmq9g29/NEf +rcOAR9ZtOCd4lL5ESp4YNVGSuvLiaHt2NPuOSlKoOc7+F5VPZhaU36keIw/s +cIeO8sN59Tp1kEPuL2BJIhU8Im0n81lX1XehNfhj5qt4IPFd2ws0ls5xFvro ++UmLDaU+7XUC3vymMe9YY4ZPogFo4JOI+Yt2gsBrUICifATBiPqg6uFE4klR +xp30W7jeBoCcmjxRi4YUvJi+iQZUv0tKOWQZbeQm/Z0/REJ/VzcrLqqbJOHA +5E30Hmnm/AINyy0azcOOnyQsy2nMUz2zF2pjmTSedcowvgUzLnS0exk3eUIJ +NWpVH7iE8rbYlYgM055dW7vwPygX1YJSCXLsi861PEuljzBANjtkigNzpoUQ +z48qlJDQsjHWzF+V8RYrfZ2G0DmFVlFuS/R4nUOr+DpL6+jZQM/EZGfRTxKp +k+ona2x8qJUQWjTP3ZyoMWM+vQnPymoxLR1aPhhNYwmtBj74YWL6xJC0cby7 +HCBUztwxz9kqHzR6M/SUslU/ZytcS/S195PM/UmZWaN2uv0bWxI9adr/nY3e +pGmYs9W5Ox3ZbMacFY9stqZshTS3nX/N2myVO6fevdclsUEpYhJTaVGSHORz +ymUUlU6UqJLaJU5La1WneYo+rILdnUXZ7P1qpX3tV/X2xRO+AOWFpQkqoeaQ +oIYUzUVG2hg7gc9WUq+hlrLb8v0EN+MEVVNeNErWpt+t4fMO3c4QG7R4lLcK +iuEic3Ig7wB3JzkbspTFdbui9G4wz0lvLRRRHUhaGYE3HN49ELSGKtQjU0lF +VUpo7jTupuacqLqCbwibIxUT1Cw9VaoT1IGlr2VX2itdeKucmgqrM1WUftRI +hHQ+7TA0HduxRe3uoDHoeguGBo4I6V/ucIRhFB3VSBWVl0Q38uLTrQUNsNGS +ULP0rLLWlFSId3U0dqpGwHM0/6a1d9JnJaLSLIMnq4LpMHJqaf0YDZ+hFJXh +AdN/ePIPbZ83hGcjqkrCMImaw6Ot/lX263gr0lf6OlXTaDIpH922s2xzwrQ5 +IB7lrXc+MuUOTZTlMXo36rdMI5bbr17b7xKPiOHTpsz0Z1mpiwjHm7li591a +A4fUtpJiiVOcRd7bXuuRWUQQZ5g+7sZ0mXPm7oWaqow85P3yuJHJGdD0uRiR +dhiv1QJEj9bDGNKM+ledVQab3rWcU0aRmjHh30iRRNL3T1Ie5HxSV/j7gD+T +kEtOVVU8soEny/oXSNHW2WZEKHP4ngmsx/VgNi09PGUqHgjZn+hQqzVEWM4o +mr6KfVkPYowgcBKf395yMha+B9zlQ41pNxoqeko06LeQSZjznoSkd8yF0lTS +sEC9HI+ElFU0xkMkYjGitmcW2SPI+u4pRczfICOTppQqd14XnhqzGrS0TxuK +gPXS9owAOg2eWqOekYq0G1iPRkL1OOqG2rIy09ouvTiv+7CKQ+RkUaDQzxgF +jJlIV2wLhvG24EaJEQF6/e0L7U+eppHSDOeQa8vUgZ1XOcSjzK0lh3iP0UqZ +ATZt1uTxhy59yACaUD/mGPaU0hH1PdQrL5mkRYj/bDbbhp3WX++oUGc1YFNH +SU1sQvMs4uCmwf3ew7M2rcBCE8WKsHMHNQUvxsAlLy3Zx1895YOIP3l+IhlQ +UKAAIwyglzB6slSfrNyxQCde2uV37yUjXZbkSH9vOgZAwVrmWdye2c8XnUtm +zgP3vLtvdhCPaxEiHhov3oCtjOqhs7wh7Z0u/UfI5K7Mmoq09j5EJtEN6TVX +dKAMBfnn6lMB7R04fQ+VEwhWEipnlOsOyNiA4I7Jckyg9uLTzYYtMKo8dfno +kQk7jm5qzQtPgUow+hW7ylolJQxySpDeafmWhYQgOa04Zo8QOE21UUf7E2L2 +6LpIKyK7yBrTFYQG1dQ4H5hOZ5d0OuDVIZgpH0hnlOZ/M07mYgPPvZEMb9R/ +sJ5SxdWl5iKng/O/HJQOJJky4epx8NaUDpbU49tsOqChi54aU+VglPAH3uH+ +pJuUnqe5k/7jmWsfM1/W89g5vKc2ZPNBNmhIpOCAtdaweu3oT9Q+O30tazNC +H9P5yFPzHuV1e/+ssd3S2D+i4HHAY2ElieLy8ZYH6kE3Q+hhygikqpseFUS/ +JuhqLy5R2M5YCgGlhhqXF5DVdqDi9e3LS6RU/+poKTLdpdh/gWLfqfBdPdaw +eh0y3W06Jc6sQHkO4BTxSGw37dK70HXIJPrIqBGyC1D8F55o1ZxVhc/YISu6 +ulKzUgWCrg/wCFd8GtN1mwkEWiOUd0ha0rMZbja0TNVwSNX5oU/V8bNAnbOA +tCtpNkiGnRiOA+Fh5jvolKr6vF12B24n7SGAwkMDIp0KYLxDVrOuyikBDYIg +Z/oijcYChX0fhTt9jw8REM/OOtBM6AR3782baNZx8cgYhjWUBPZ9tWKlNDgJ +XNHsvc+tJQnogcbOxO5xPlaPZ238Fw/zfd/meNfyeeK55jlpL7ucYrdRQhYg +8t+MwsPoKSkmqHq6KvWB0HtpukqSu2VmAHbsoE83LeS3GLQRdpl936xBwyTO +bBf54r2HZugxsXoHIhr6tNB5iWYRHhJY8QjMay76Yyr6xN09SsH96mhRjVo9 +amB6Uoa1VofW4KSF+V3kwCYA4Cyai9bd3zKCyWYkkVvZu3uzHYF+tH98Qxyu +TwuajREhyxqeNXvPFAKtm0yAZElzgNnfVLXehdOznDYeFOsiyH3rN/PyWoJ/ +TA0a1PizpoVvZPqZhjFOwPHR8WCB7FHmHQgXLxnNWvtuu0A+0iRAzGg3+Ao2 +y3W58L2G4URzjqcLF58fswaI4XSB+wJIcZum4LiV0pAEgAEiQUHWnAB0pG90 +CUCvXXbaBFDA5/5YIXaXmGDEK2FPueuEif0o6n8UsT+uUP/eBPPlCXSoXi0g +ueHdB+awd+DYz/F9j+Lf6yCOjSWOIVhQaF27GWbebz4oCD7LZAAUBH02BVQ4 +zC8fa3WocRUivnw0wjzApGGXAmIy+zQOfXQKZeWrmM3bAgB+e/ZzPTFpUgBw +xappEBXuWafAmz2LJCH/eNvbF81wcbPC4FsxvOfq4jahVS1Jq35s9agXzbs0 +6osRlEjRjgRED0MQ9tDDyGmIiFKsT0S9GqsMdPjsSJPBGzqjfjoYL+LCvnq0 +UdDqNvbSfnjSqNtM9oaNBAo3siFBjSCL3oKdEDS59P90ueGQKcs0JkATSlGf +Rnp75f60LfjZt9v/y9HFyQBPGyxk7Y//sUnsbk7hJK+QBscjToNj0vyIParf +miL/knrccpGv97QAzPE4AP3FLib5pN87wst+yNtUNSKwltoEh33FXf8Wnz9Y +Je8c1Ku/QffVgc9PW36iCTZVCtj/PV+Lj0YH/ZYP1Ggf/fE6O647/xhdJWfB +8T1TN6TAqmevRxIfhgfcUe5jLjBsIz+volsY/6K+JVlBDxexpLj6StNkBZoK +1CPmG8QFup9k+13QY6joyesvNxLR5+2g/AgWhDBqVb73PzowsaO94qnk7uOo +p5jfhN8z8YZewl/vEHTky3Jzz1e2xiLfKGZ02FDWtCMFoGFW1vqZ1o2BZj0a +7vQxIcAyFMxlCnvEd1dXmifHUUtT4MsQEO9Nn2xXShrqih5TES8CGxrCrvAX +F59ria08qn5q2X8+Z3Q0JjnYUbQjchliMcAt/j89/Rlb67foWY2udvRlqOXl +aie4vuwxl5oEaKXv/mOTGxDwNQ74/V+nWh+jOral8cl7awr4K+pxyQX8inqM +5tyss6ob+Xq/wnf6Be73pbwQJ23q9U+ZQEeu6MC9U6APdSEFA/dOdnmNAEoh +Zfzlk8TBciogWoF3+aeLgzbQMxToJSO1t9dJ7SHYVWHfxNumIyKcErq1SMgL +Sqtkw3pQGHwKy6XseBnLlQ22kNaOdx8J9EU9dbChJCzXHGKbWHvp/zYZ6qU3 +Svp1Brdv387hXdq5c+ell36wQOG9LrSgoJH4X20y6AW9EFTi8qO9xXLwLjKT +T69zMZPMxPELpLaxHrGeCyZ5ZDT5Ut0EfM0b8KV1ORgvHXY0BOIyAb5ea+Xo +un2z9pDRxhGNyDgvtiSEGjVFeJ6XhCJTjSUhYT4hf1Uvc1CjqafE9gDZr9ky +/rG9f9M+ce9XcbkPcxlP47zH7DjPTRFAp+MyPkdlfPptPNHAaoB+9mkOgCki +sAwrJOSRlvg7FvJidmVItz7d7r8k9M8m/l1vADZEdcE9riv9Fb77rb32aRPy +UbB5CyFf60HqJcLvSFDjI0BpWpfW+FVHzktvvyNGg9OtB8cNqXfIBj/76gCZ ++VkmzJCC2dIYKXiNRYzyRGpzMKL6I/192ca7GGtLRrAz/ZW6kdqmeM9wTF9+ +uWkneGj207vdwqU0E4Zddsw9P8eIhDTgabov+lxp2O9d/vEiz1f2PvMdc0gh +Ykni1f1Bvw6g5KJjzTqZeSqJn8dAowOz1ENhp9/Zz3RgA9Y571iHo4T4xmat +lYOSHEFuVGZVQw3P5/R5+vo6vLUYlOlpsON/5DjQB55RBKJ/KODZo07XAzsR +qsbMnvryqlrjWbXqlxoEBsA8Hymd4hy9Nh2e58dsnAeFO8hGuHBOESLgWWai +qIudYO3uYsfFQT073ku7gu9sBGj8FDZMuqSH+bSEuUeS+/+zpG+Zz7+LmWxt +VdLvURQUg7cMYNqz9SyV7+MI8VKcXktENpnYg0yC8h3XMZniLdPPwzhpKNYt +YEkQ/inZwKaJffrf4WrvzF3KeeuhmUlNJgnpbEAa5d0UL9c+/7BDVZ+5c75m +xbbFJA90Nq3kc/lY06hrTvJmL41UmtHhTapWF7HtUPoL4zsS26YRHfhZgVNG +ekQukTLfyqzAzM6jYsdmjiFAJK5R5zB/+6dMW/8pLTVeGhmKyMxX1wb/Ae0j +DXEinZUQ4vn4zn4Gjwc5zkFrpb/Az+YQnsdwfdrW+6PHJsjkLbCbQQX+WYOZ +XnRWUm5BT9ieZ1vTeDzC0S6QHYzYa0HZjsgOyvawUR/mSx1SB2Y9R6K/HOx1 +1XqzQh7+PKgKeLhW/4cDf2h2dDkO9ssvMsPjZp/hgRtcbvY+DnZU+5THHp7C +xOsUvo0U7Ie/7YT3xkwweny0NQX7BfV4NolO7nbYZEKce3yNS+pOPyzlPN/l +s4kq3wUJPYFAz/Jd/snRiY7yfUwr63/wzJSd1WFPl97tpnxPOrw1+mygtwIi +qwruJLbfh48mhndTmpQRo5GRP26fqudR41uM4YHJpM+Gf6YLjQziuqT0NUHh +X/UW+9zH25RgoYpM1yCpn2ZE1k/G9makn3bpKyHjomB0crl7F/BOGvOjeDAe +KOpgXd90I3pDmhACWGH1/ZyU+GkuqNlcENvUj+NZgxMBWKUCBiRBW5KSRmWh +EoF2frPFN1ygnhrLBFp66Yfg84jhlNvVswd8yy3qTCawaJwXG6U1SHCh5ofE +Dr23yeVAmgva5++flva+6XjujjyRlvE4BKbif2m+feDOb7Zf3veX7f/r+HhW +VfHwT+nCqUAKEIAyUgXyHeqCfjxb9Kv9jzmY+Zq+jfU1154ZwhTAmeHDIGGY +yWFRqv33uaFHZjgnQ3zODB7ymIxzflU3JQAztbRwJwp80uftVwU+wDtW/P4Z +GptHtXux+MtZ7d4RpIcRTgEfPDXpb/hWyDSOXjv/6HSH2gaJb9dinT5ztvp0 +egineCj/qWjIKQYqMECataVgyEVvrC8VBDFRD9KxFnRgp6UGuBFXjzWMJljM +3rK4v/3ScFuN8pyD5b1EA3lxZCaODyZBDPKVSk+9zORR2KdPLCUdQzylxRFA +d2q2/g8X9mn8417zNerVhI/yRHmNOSGCErZTwUMtUtAZjyjoUKqYDgbzwAHm +VhkCiA4X+oOiXeCXgr0d0Ly0y5vllCATOjAUqAvIU1QX2v/ySrP9xoNfog7h +nw6abV0a6VHGwlKzzrkA5QQv+HFPnqpv5hLh4yeHIZpBYFxOBB7nak2JIIT4 +cCK4lvjTAMOSKG7nz683/LdJP8ATPt9bZyLbfufuAdPuo/S9zy3q8Gc8nXcg +YbfJt2J/y+QT1kFREFe9sp8I+iO1wC27zbqvpGoILAO04MWsttaNjQCG8Vo1 +mPtZZN69hDXu2PMD9YM9PzHUW0gETUoEWSoRjt666KEF0Uqg80eTQK66fT2g +wjmTCc5FVnlGqpcH+pk4XKeEx9p3VinkkCbFgmJ+426lkiRgfqtNftWWBI1g +a//e3SQ14tRwAvAetQyV68sAIsIZOFEO4PFcZAzYh2eLLLIrg3qUAGgGQkkK +gfGgpyhaec2BYHWHMV36ZwLzrYvQAS4+P0Zy+GU1AZDR/le+/Kft73//++1d +u3Y5TkBaRI4Ldu9BU2ukiYA4JPXtHPFL33UOt03zw/Z4SxzxnzEv7eZIpwSR +od89MI/KAnvVY4X73akeo2Iw0jy2Ubhwi7/mJ8okZwHs9O1Q4ebPl9xOHwG2 +pOA6aVlw8QTBdX4D3c9fN8hmC2ObzsW+1zycuZuEjd8kxy0oHJ6tl1WIy4Bf +2oQaDwGF1638N0P3vciIoKmX/NpeA1kb6t+6SHDGewblV7TxP0zxX7EtgqUU +/WSBPDk0DyltGwgOMBc6bEfdN8AA6DS9vq398ii5ySPSzV6PnGtCVI/JE1sC +kRoggK8erudcQnB+NjFeNcoC3ugTr7pis8JkZKtfcpI0viwvTQtr15cSBNQr +gEAmUi+Pbogs9mmKuCFY7LN2TRc4D9Ech9wS32F60zqA1HbrWwTMv8RZ6Wtb +MGQ5RdLTXPujaPCWGF8zM4F/fmaxfegXf9U+8suvt//T8tQkZwKUAzRnPDKW +fIaSAFbB9fa1E6PtXdsKVpfBKOL5pCE/GcQ0aA4n6p8BF7fyvguJzyI6ECQP +IyFM3cHNke7gZrf2K4SQ3va1M+lF91ZjQDUIh25luOqX04h7aho/Ps4IZYb6 +IyPIrS4DwbRAGLZJAB679VxEcgb3PRw7+oM5gjPqJIGDM/WpCA6QBR4M3r+s +4hyluzQDl4+1krLKD5qraEFAxKgeQyLoZ6DP7x/VAqFGFTwbAQEJDjCH12a1 +PnDMzcOggLOXdHVgmYfoEzgj5IKAZ/ubbcr+hueAiYn/gbXSmKl7EH1Nswpo +JrRghBLVyFx84U9aMNsCeB+GiLQv7Lu+lCAIX1HHg2EV7Ru2UkrIh5NFerqx +F9wnb6eI1o3zRUJx8ihRVv6C7cXQIH2yzU0Hs7Tz+yxD+wtqMqB2gbohILWF +NHGkb5E5AtqIXz/0RWojPnl+E/hi+OxUIXz6SsPmnq14hpUSNQsHqFlYUtnC +owd1lg7Y/H3cLVuwVNH7id89RMjO+EWgBOPqWdzIm0INGtgvoGSFBsKXc5Y+ +9w/ihnqrQaxC8GIeUaSfOxcHrN4CIf/S868niUgTGjU86hcNgg4MtF6GVarQ +Rp8fPEWAtDOIY8/CU4CBUAnOWnhQMYIVoP1+2jMUeeOge4kzd85X/VRRVulA +ED7IPEgHAhn2JfiMzicJkE/HVorsGFI2WWJvpIfYpbNEIcADkWzcC6ObHGbA +F6ObXttmgdV4ZfYo+ppmnwBUwxJwxktiymEZOS80bpTp4g/ddHG1ekGwgJwc +xmWwyIp1KAtu5LwA8H4a2G7of6yeLEZEWbqDgjLa6ZIXC0QznkU+yHChAH4w +IX+fH0PeOYn6knKExfw/S82vbSBQKWjcv14hXn6xZcYD6cf/83NbCTn83z6x +gzQR8YkpPXzwOCefu8heYQX9MqWHpe+5zsIUkT5diNOD8fTJzqa/STEgGlGR +9JC/WeUAfPqd7oRRjtDdCBEXDSCdKoq9tziNTY0jlhxhvYIsaJjOYZojRB4K +sgfSZQA8jC5jxCYKM1SoeNRCThAevYjhBg0LMBpUDCKob0qPAT0WrR2FPaSF +KJ2gKv0MBpUWaIwdhSwssaso2ZxRiICJadPw3ITlE0QcxMwwMm+bDXEg0GZ/ +xAXaP22shhJfXpyqh0dpv/oqVmDkTqCXlcw1wCucO6xqncod73DeoKxRDChB +2BAo5IFDAYNCMHZda4iC8/WBvL/LP5uQNQoB5AArT4IQZ9X4UFB/Fw+19GJC +CASx/MFYYvLSzqolBBIFFxKbNOpIm93O0rOKt6KMfQ0MI9OPE4sutXswOikz +Tr4pZ4XmCEx8HIf7JCYhp4hDfMJkMbyusQcBX6CfKwssLqQLubw0Q+lokFMH +OIaUk54bT2hJOUKpIxf2Ipw9rggIyKUNmUTuS/w2wuy1ShqCgGSB+gNzCZQs +F1yeQV2xUU7cFpeqeiKPj5uc4aGMkTdW/rEf+f6tRkb1Ict3cFCDWPgUiaKx +myDe8KsmBg/uDQemzTJC4RjM0NHgGJo2b9Q4b5x/bFqjE5FHEmIpjAa9iQU7 +pb1JSYupoDcRJSiZbvRZzGKO6YdIEM5DcAORk0LLslE/YXA+kN2lGAv2RwoQ +chI/SleOiIk7XpJecBIaIm+yxUrnEpPNPjlblCM4JVpbDESQw4JL1LK53XcU +OTuLyLU7SYUEQK4FpEJYhax3C4ocyAJ63phRmQSCSgGoIcgYVHGUOWOIqzaV +F0v1BQ1hQtsh4T652s7ym5vIT/mTgwSZoXQB+RmzmBgzaAZqQgR3LFBkjC2m +8GwoWE8i0AOGAUS8wTAYUR3I7x7eSTVG2oHQfmNUdSCUjv58K9nUoIbt6EA4 +SXhcJD9JIFSlhXBJIqv13tKjZTPCDjlVxpms2BOarLKBxTKgy/jwmWF8w94i +TbannFjJ8s8WkRjw7XKUJE1HJBjDr2iI9utGPoJzIFW3N5qGs0TZoMjZ4MJL +4x28pLJeaaalQ4coAY05K4qVqFgLpHkyg0SQUS5GaVdhpya8sRizm0vhH4Ss +Y7iODnHsa04RPMbRYJCzWb/iJmBIoVeaFTenyFragYr9/brLELs/sIsEvDTm +NARMO4E9JOEAHh4fUBuKbtq0akNBjrvUVNQivMJpPBuKDB5IwYgWC/DnU/yB +0B5IAxfAOaBw71f+nVSd/C11Rw7AZAWznxlLYhID+rOTVjbH+qBCKqp1xAQi +vaHAyDSFeGDa6DoOq0iHeghp839ti9U1ZyUBdBMoDJhl0JCm4vBWGjm8++gX +8HOhYP/ogPn/Wv4xrXlXcPA6+gnTXPr0Iw524wSclSXkYfV2uauJu5g1kX6J +y4FZ/NdnTaR3QyLTlzKRXkG94COQT9fbF19JI+9bHHnpv9P/phHDnHYoAzJZ +rnSsHC8ep1VwpxKBlUZ7eDYZt1GeUb2C5h+hVwA3qT6s5I2+/ZVtHnCh6rhJ +vka2CKjVHU+h6KEXRL9I9g+koZbVnAStyA/KERT5SSZ7QPUFwCbqvqBPa89e +XfYFBkBWIoGjhAL+fVlGMCb5km4KRD8R4SkQBXplPM5AKLMJWK/dA94uIvlp +uNtoH4lsHlp41gz4hBgijDtPrzJtF9/75Yzx8/nCdu8rCbOIiMSjgQ0HBo0d +QCQlKDKsRPExMAi1RAiXnAb6B49OGo5BISIjQqKIk8EkAVgEQiGN9gAeU12S +Fv+iFqDxSYplMOzmimm9cmzGdQbHZgSSnMa9SccHCGOygkLGNgVnf9yPC/8d +F9MeIclPAQAwYExIQAbebaKd2CjPdnBa4FL/rCr1P2ZpMuo3jnFaSBQiGYY/ +Oz633Vb0RRvngxF48rsPQsv51w0DQPL0ye66eTOq+glnTdrBNhpGWA/1gCvW +uum5PjGF8ydMhCpJIgYwBNpOhowkIAymbIRXOcIvHEnv45t0uT+R0Gt9QTUv +tz2qear0c22fkaRbgUET4Xsihbw3MqzFsUZ9eDzLQY4oVe5buTUsGO2C4SFa +MCTU/Y/FdglPt4bxeDIOOyJtsVGK86LlHqDjR9GgCoj0hEH8NCsJgj6CPm4i +cLzA/HBYA410398fGR7GlAPSPj+90KmOF0kQLRMy5FBGru2nm/94g+jDdY56 +KeUxG+yGQBa6QZoBLN2A1JyrHPL/crKJu94U+UewZqDHqO9xnujrvoIoWAEA +wpb4B75VxThAS8fvkpPCRbxHTuI0wJKCIQb5isYgm9A21jnQDGu1Wu0/2Vqk +yV/FhnSVr26ADKzPHwORhWN4/vEZV93/lDTDcEm+2ciypzBMAqUsJ0uKY+N2 +vzgYwRjJ0kAACGnPrrVQ6SmBDUcVFhlaAFIRwFQnF+CU7d37GJlhstNFUcGQ +9VTPOoxX1RXumVbcQ6qtRmBonyr1mUnMsX0Jv8s/1oxC3d59Krb37NoqsCGa +9K2nsOyzm0M2y1o1oD95fMwE84xM/I/wRtKYRPT1QBCR9Edd9eIyvovR9NP7 +PO3ideduN4CHwF0UAFHHUI/0R9dFnHk9r6075qkl9wb0WAvcMwMikZnejUYA +hKQKtF7JGUtIEoioqahBiF9s92LwYc0qoMr/wemEmvMRvq91Dd/kZxeeM18t +Lf2pdMNf4zSyyJWXzR1+839dbLcGMjKXe4dvVirCeZXo8ZA4oo/49XkUO8wR +vTMJscNnqLvkiC6o2ZsFCTBIeFS9Fqp+TUZwg0Y5nb4tZxtNDRkM1YEAF8ir +UPccao6NmdemNb8AMetJ/JzGJtLHFAq4GGX5rI1poRaAKrxyx7wjANw9ZwDE +ZRXT2tUBsh81Zh1FZIOcvVb2sA5rNXu7ImE9EGABENpXD9cJNLRJ8QFBAUbY +SghHQtnplON8HXAD+K6QHxLyaKxhhYdiHEFsJ/Ydch4lh/rpmLORsvmWSO8t +lrwwUMA1HJbkes5GY/mJOB6woIFA9u6+l/RUO3CA4TReCvIhDmO8hzQJXiKe +SKwQb3AQAytOndQjxIe0Nfj7Dw629/15pb19OqcuZKiCIOaERrj/Fud7J+H7 +ognfnojfl034diB+YdLSZ8M3wzX27w96+r8tdU/bqzZttdFijyk+kPqQjK27 +m0543He3EzPvjHoN9H7deVds5IozwieHJ2zTTNH58phhBmF8xrcxPprG8feR +Peds4BHuML/rMDgbR9SWVKltdTu41JbXPGVyVvopuMFadnsE1XdAX8eDCqwj +cbYh4O+iMe7mUZL2v1nE65bAKBvQfYXHyZH/Eo/F8KR1fWicWiDEC1m9rLNr +8mdk2zlEpXE2pTj28GYbRgX0n21zl6CroPHNewWXOIWn6pjx5AZEZpbDy96/ +z47zZLvs4fRCVr5MwYc04ObqMZNg7vrWZp6KdVTOtEHLc1B+erJBYxlqspdB +5ae7FpXz0vdqdNemPTNCFcMujKexRKcdKwt4eWQfDtaX/epZ781xNRMwl4PV +8zLZ/TlTPVOwzkT25jSSTgNygoM17Y0dfv9eWqR7InzaWBvrr4IfsVXm62I/ +rjW/dbmcRuugReIVepB2+zlALy+7Lbnqk6c4QLEHCyy4ceVOI0ALkVKZRgBp +qZyPbMhF6rvqNHqz5yIXq4Hg68F2KWDdQepuPiKeEwhrqEs1w5tuZ1I0DZ03 +qpbTcLRT6zO3z9+gZLEQlty9jl5fxA6JTu6DTif3BgRrJqiCsai6gf3S0tij +oTSIdHxnJx0gGVMN05sXNSBGX5ib8KykRlO22T3R6FePMYJG/bvnq1s1bk4G +2VeXmgPdEDDjkaqY3lflfvbyyy2TPf5uI4pJilTcqu/c0d/e++UypPWkKsZS +CottgrqxgaTHxuFIlfFUen3u6YaZZT0tvH5J5HPYiWi3rpQPfIdwtAiEtxqa +aiemaDLvou32pKqUNRcPVXRGE3SBgEH82lg7MG3ENrCzaoxpnD0w9rJWwt2I +unjUwWizWnk//SLp3wm1SnqZ4jmi15TOOW+mdeau+axT1vZVNwj39hLVa6S6 +DQeQNI6pfJ7C7zmFedHyGrA/E3E93RQLWG7A6WtGp1sekL7oPKR9AMvU2iKa +ZDMeB4DFs2qly+jAGAnklLhI1tG+KWTSq9Z14D8jtvMBNB6WGuTkWgoqZFBh +NjqfMbN2Skth4smkX0VvvCnNwuHycCtnA1ysxnTLSwK3/YHoBbbS1VVm11rp +ljreIY7jJ7+3wUJUxuP1Ml3bgxzeGILgk6JobnUdYZH+5WG+iFHqGti7z7zh +6DaClh0Y1481xrXPfLiIY9Hd/LgrpA8kAe51CNFdV2ZjwMeL2RjW0gW8NhFM +veQNuLyJml9TJTVClW7we+YH/cDO8QUdEmh0Pvjo2UnCuY13kcYHb1aPuYCE +p1EWPvaZSTPmGukhoUU0m1lEs0HCl6i1FSwLotozkz7aGnVCWjS+IqEM+tmZ +77WHec9qQQyNJ2ldT/COV1XwKrkbml/1q6mzeEuk3e4CHlcDLAkR11+uXycD +jugulUAhg1Rsn23NOzCJ48CzM848HlNcYkh3aIyaWjS3fi/KDjkHx+k+11E7 +77y43AyaitmXm5NuBq18uh6eYpz7dShj1CNgkgmprk+l1fVjtroe5cC1zfLL +rWTkOiZYBkvmU2c4mk+aaB7shUatmg8XJx1qi590lbZFuApCdRjRPMjRfPV1 +X/cqDV7DehlXdzXKbFzk1Hs+OGcMmoUb/9Fzkx43Hlp4Izakx2n9XPVo8cyE +QQB3wFQx8iJHjLqCqWrlywtHx5OcHmNjrGUp8Rz7VLP3c3x/cGCyQz6PYKoz +dGdTgFN/7ArFLC2e8RzB32DGbBrWB9qvev5+O9tH3Z3ciDhcjUSA6NGInkNE +D8aFbcZDMxq1RyJJi6Ggs8U8q7BGNDpQJBLOA3H7iSk8HuZwVhp2CO0JPKaG +F0CYQ2YATbiRPwoxYgsSzrn45GrCSd74E+iWc6oq2x0xi1Pgaahr0X0yPR5B +jdBcK8cx/M/PcyH+2Bc4hk0NTt+ttMEeWPtka6s5Ih7HhcPaaFatDhplQyyr +f4V/DprzF4JIRzU3BdU3gpUGuPfNU7DLsAu+6hpP8snRCYMn4WUzRtVy17IL +X8uGc12xVUJyey6yccaFe/5RArCeQdFjwaMYiGlqLCnZDwfbJ/wviAJ+STPf +dD2O2Ec9TkDSCQrpsjfFps9wz6wdcQlulInwsxH8+AqF9MsmeBsqhK0L1NPN +/t4UE4SvQYrTXV0PRlsAiddjhjI0Qn6hQdCQJoVwv7WJIS9ftsxUCvPdAOKD +GhkichSQt1PIEN/3lzQpDea7TMFsPOT8QbTYhAMbUonAQuoaFgJPGGp275xL +hp1ZVM4ufYE0sQiwDgUKKsRnI1AP0p6scDBeXlYV9vLMMMctvKnxtUXHlKZc +B4fbS3t6T7ludNF5LQjc11x1HcN2UnUdcx5/ylXXHt7z/SeHkrpmjIS89Msr +Y4az3lSgT8smQ/n9K9KXofG27JRZ4W7Khq0mjIjlDEXe/hlaQ9WzijXiOeGl +cT2uPe7SWA0Fqg3we0i5aMoojEJT5thZVW6HCjXiYNV+fdT20gIJ1bwyTLah +ZWmWVR1uwcYaL3sOLwYRbcTlOaJ1ma3gH+W1R3TaI49HMNx0f08HtA/ovJAx +zKTqmyElS0Arp1QdRG+/xnhoH1wP4yE+uGicyYayxFexrJE6LGLSu/Zo+m2E +BkV65/ZHQB5AdtbnIv0yScnMcQCjN0aFzb2xvnJFTYLIYOsVagMbCKrUjzVr +rg3uKKglgKWbvvgCjVtOE53/1Xr7WtoRvPOz/vZtf9J1AMY0McRvSTggBq6Z +vGFiuCdqk8s7zMZsSf6Mq6nfT9Sm+NIJKhE7GRzUrTKTfMwJybua2t6Qj8+Y ++Rdfz8B4UQSCMibd87SNZqFxoPIOzGQMcDvDdrg6WN+9f3YCj0sRNKdI1Q3r +VbKVoue6GqvkShdFauC/JiMxPKiQYJ4yvGA9eeGMuLb75CcJiflqFzmJve2X +h+3VLGwtj7h5dHQVW1kaAkMS/u4Z2y8HYGxYP40uBg7XiHAiaEwr4fcYCJsj +leCZfVoRRo+5ak4RJmuB1hB+qziDajPmUusmD0zy/fU8x26ORPAcFYfnMG0y +ycmaNpkgHfOBMEQI1RJhCOC0rUPMkTFCc2wNkBtppCaEw2pE6ughfobFE04N +sCPoumjYdXDVYRfDMz2mBofyGb+OVojMwse6jk7/wX8jnJ91N/FtfPkTOBM8 +LIpijII18+KORdpKjVB8luiCFh8Y/BtMLCFp/v7gdMmGKqxdaO9Ey6PTTU8d +9sJLdDLIEwptMC5mzfD+6NnJSbyQVb6Q3vLpiamENOL7Y4AtLKAfnGHgR4Gu +5Ltu2hxup2YjASvQzasnfL4m8F9lFcxOg85wNAyoK3uh/WqHz/QFDlaKyXG2 +bFVc7TBKky5hqg0ahIORFtakBbspMH5GCBP7coabYCi4AxsdAqm1GT3RqdIv +ipXqUQKC0AdTH70+YtWaVtQ0vt4cQKyZr50Pw5icE3uGcWjOYsSfYRzvEB1S +ad/7N5uSjAvj61NwyNp1FmLxD/iGtkqwj0zhyVS8ugbCvm7CtwLwD30vH7p5 +pteI6/PuOrX8Cw7hX9PvJUT2fq6YNepSjFsNONMAL6WAhnfDx8/zQAul5yvO +ZJ7pFInjUwzzBbty56JdGCFSAMokFfgZq+ZuHJtytlQmw5f9M8NCmIpQqyci +za+ItkzoQMW4SuZZCErUx9kAkSmlMRCZFMTTDNN6HeWdvTVDq5da5DXSebhn +1lTMBnedvS2itrBDX6vjyjIVkZleq0k2HpUbY8jnZ1rbIuPn9Lac5YtT8M4g +PgR4Z5pTgQiRD2ZaaFwzDq3RMaS6UfrZg9zPfn9dUlXqysu3klyCTS8GGLmR +Yu/i4bHJOFzjRr5AMWX6/cNT0svOXockQk6DNTB4olrix4sQe1hBJNHlCEQG +jbSWm4DpxspiElLJU+SVqQZ+/yE7gGo3Go12pVLxJlB/bH62HueBw+4td3MK +NFJzGXZL0ctxB+rDx0kAjxzg61Lvet97dLaAx6Sr2Md3JupdhJ0wliVIWYe1 +30Zfjr0UaKasrNZR2Y4GPazmJo+xsFoIoARzUYBWpKOapqw0qEKIpFfP8rOq +H3c5jq20Ou0gKA7wa5ePNa15klS55LJilA5imqnZlfZS56TJig/83fqwbhXY +49t3zG1G6GUjgOSrLzS2OH8ih06kQDnamLgunHKJ353GnO5Ct2kURlq1Wqux +bXiW5bizZiQCiqKx0jiPlTrhh+R3cojY/Q6SoUdIm/GsyHeY6AFgHjTBAYmx +Ujdwo+x3shqNoYdKG/GsHJn6znJAqqoWT4oci2sZKv0p/7w18YBj8Xf0e2+c +43N+2erhHGt8/310RI2G/mEDdjuGlLDgbBCqMdYwXqHC1noaMVlhwFaz6Y9P +gzJgdIIgFVQVTv8rAUv4yARmOHasJM2mjIuLFqRRZf6gvv7kZ6f8TxhPReFI +M+CWxy5CtI1wJGoFVGicfkr1jdUjoaB8R6ZEXKcaFQCOxJHVI/HQ99bRJXj1 +SCMTEPzSshQQ2CWUfx0KIBucBnmW6lKJnGaXhY10lgH2mAKz0A0/IdofIjWa +Fp7JBleR9tkVzcXDLVIXR81pGs2IGRCtbiaS6W5AikU8q6lC1A56lpoNtbfp +5jYkuEZSGhqID4xgIlcfiIx26bbMUCimP7DjabF6d1qs7vs6/pxRt+UqE6Pk +y+YceEQCjtDvmyIVox+Qf0HkvcJBjk8BjRBrWJTdbo5Tov4xDNSSRO87/LFX ++FZd4QvbbIx6Yyg5EXgYSnJBIPFskwhoqfsPbqn7yYsT5rJe0DYJoeURJk25 +yIRKtr5EVJzgrW9gk8DIDpUOkB08OnF6hWtOonCRZUNUs+mg1CMdoHJGOhjB +e8YV/lm0Dqlsfhj39mhdlcOyC/J72ewufILgRt7fXnKV8IDOA/dMr5IHCrFi ++OkWMfsHgmESsM3zTmXUSH6oEe/1QDEoFVQ5FSBFcHuaKBxGlsQ7JEfM4Rmx +/DJc96Z9JmUYhOPtuz1VMUQ6d6hUJfepoRKZG5ih0oyT8nCS4em9a5HNPS2I +7ptBkCf1YLCE9S91o/XITHjMXcL59r+suGJ5+SeL7Z0b890mSl8xP+kDjInS +kb7HvKTViJO8W+5a2R8lM9hWv+jDeQHU4kyhP8e1REpqF+49gZgc7p61wf6b +qlR/51X9bdc+982P2vobPT2jpXklVOqyBAbsYyjmcKhRHXlbotcj+ySaOu0n +uWjhReS8gnxl78KQDfJcj2r8vQdnNBITzwjs0YhoFa7csZBhFZHXR0cj42bC +Z71IIkCvETbrtQ5q4SUCVi7RL+tJlMYthTXZDnzxhi4RX40ANtLHxAce5YgH +WeGzhrSQTDp2f5ZGxxSQ904n1yksWgrRGkoNVKE1srT+EYbRhDUYy6tm1+A1 +vB0OHRYuxclccJTvfDH+RlSP4VmLw11a4zS8jVtIDwqwnSs/M2Hxz0IXZByk +k+zRM2PCWVX4Rr/0wkj77E/6bc09NTXVvummm659/vOfRxDO4if7l+bn69EV +OM6/Z25kHeciAXiAb2Tc0Bmn+jHrn5p46Ju0UB5UoS8yxrit9/OXQBqIqhZu +MykBN/1ZnoJJK7BX9suHzNcv8efrVCjlUZgoi6ASwCishdemIgwL0T+vqhUz +olmvmGl6NtSFzQj8dsVylyU5QFfIkpO/aTEiZ+vFHuxlBd022K/QBSHbBdYJ +OkYDr4kLQkydUBSQX0d80AbZ81C4Z9YspbL72q93wK93U03AWYIq/rwIAKTp +AxRDlS6SLvliMMJIpM84zskC72WuRNJwHCfXW1x4imQaPaHAbtAu3iSXNA4E +KsPScRAOpKnG1yqL1G2yMNIfta6Nu+BB0g5Br5FJHWScE8fv97v8oGAgWar8 +qWV6eoK1Q3tPsm/hSfYraEspdaT9uaUoDmsBIJlNr/yURPpPo8+kHgHNwPl7 +A+xW8cPETc7QcgNYfU52TpxJPDoFZ5LvmnBsSSjqdJB1oaq1Bc+5VNErjeS1 +Yjr+eoPqc+7iDCWv469t+phV4KImfZQ8aCjcEZ671VxTzNiYQrZoqY32mV8q +ycGniL78m0Y56Be0BtGoM1XpoFEO2GwhY70O7vPrDQ1NyXkiJmnDQCO/VoAo +kw4A6zFyWs534T5fXiY+q/NTCRkekCas2myhfZRlwie+a1mTMmLDvXMgRUnK +MJp/FQp9QEgAJUHJoGff8CrjTFEP4CXoFwYcvMSN1pFGLhwcGwoRJuJLdPlw +MxuZ+HVXCSxqFyOhRFrgyZSa+RHr8K83GeBJxTkTgcTcopYBU3TP2QTN/q2L +hB3LR5bWg9rFSHID3kw9x4JKELLNTv+cX8swnvuL+QhpkmSDFjlr2HngQbKH +OI1uxw75Dn/HG/LhWveGfKY0yIl4MK5vcDT+whwHj67hZY+cjvQllwBKsSDP +udd2ql8t9VqYjFouqXhGK6hF/sD85VbFohr4C5k4USeybt269jf+eDoNs7ex +YHurMRIhiEArAQSRsptA5r0VurA7CRpTChyYpPkAjXPYZowR1XxA2ERyzvnH +jKaCnj7YBcIKaSeeQSVLkoWgUCscG6FiMsEu3dYF95GgmhNFxsBB7+lY94ST +hVkHFEjgzKmfwoapjpmj+TH0m3Hjks0Pq+YFjB/SvCCwMyDGeRFg0CoLKi8o +ofIqHs/zJltvCVZPBLT5nuVEINMD6I2QmdF8YHeMCWPFJoKyWmVjrMhsZl9v +aB29dPWlZim++K6E1kZCI7l8tEVjyI0U+X2au0Wbuq4SB2mtcGbvPLUeGzgT +YNv9WaZjQlIan9TypO38cbmZ1cng2iv19js/G+g5T6yYgNnFGLLDDEX7qok3 +j+3hJ4PQILnQGbjIF4bFRUBwnToKnanjmqQAg4rrDV992n38EiSOEm4vzj8y +iLuOg70/YqsogwR6rcjBriUXRKS0EcoX4gULbTkwbSSLKdiHmT+CZkLUyhmY +ilcoCbilhNk60ARiBtE+0APsVlNuS6gfAtDqhNMv9fcJNKVYaVjh4tcxYPP2 +7jxovPm1OxY46VYO//fpNb6G6BYsmm0DHpo0hcOmyCaBEC7rInd7GuJdQjrv +wCxKfeTpMeNHtJFD2lqbPzSV5OzSoBqENG8KumBZRD1MI8Opk9jMt3saw4ZH +8g1Cg52ER4mdG+DKpuwa1g7p7fzB45PJ1gjfkpSDbuBr/MLhccubrnHd305/ +yh8fHGkf+FYN08FgOAheMw59vwkr1NAo/3FhowXgmaHH5uCw/XvzETuDi5Ud +zFrq8SUXtucT/1rnd4dmiEaL2NoRRMGqHLEb+euaHf2XDdkrZyO2EvEtefu+ +ebq186qMl0U9xeJBikUPXE6jvJ8vkrJRxoVoEcM/r4KXP799zxz5pZuQrKiS +/ehtKuzTkn0opHOi8EzfA+jpmMKXezOBtK0n+Dgu59EaU7ouHBn7OC3UzffU +fAtbn/vc57qFXaLBZSIQloaawFjU0D6MOQzrMJSz12jexhy26HSz7J1LqATf +olx/cJVReX6kSU+3qTbcegIcbhEZo6Yiz6DI1nU6f1gkyzBHntXsv3MOaiYn +tfUPvIK3RCQMVDzLvYn7Mq2Wb1RbOeZD4obc6jApWWLZ4EPg7gBdC9rKNWhY +N8rDupLUzgIR25PwaM0MXGztfIlRKEa5L4twvBKPOy3mfyCx/qHhLVrrfDzo +4m6PeoySfhWtT1sVH3S3pWVkCZy0gNibR+zleviBtPROTtM/BP09wq+lf7av +kQro8XGDGp+2oTioRm8IPcG5IQRrNgQLEdnulb0LoyoyhXhN072Dk2ayxqXx +ys8ceQNTNxrlk5Q3zIRGebV2c4SEsQs1LxhQaZglpDGQiRStaZGq4CsK1Hnv +dDIfIK+lAY5MvUzIJb4+5jblryNERvHX2aKRK6BP8ItJxqlhVigGMenCxOv2 +3QH3Km08MQFL77y6RrBIh/vRk5PJFmfHm7Ua1+AnbmA4NjZfiLmo5sB9pDmA +WZfcnVsQlwW+9T45ZGC1R28h24DT9RpHJkYbtO0/ShPUVxs0Bqt3jsGyegyW +jPHNlt4yuoT9M/Pj9MgVf+DFpL7GZOuWPtZDMHwBQ13O6RnYBffu7eoxGBcG +RUrV6wEFFb10ixLW53j0caLr8+0PDw2jxuG7ECf5bKdIyZTWCnvv4Vk9sRpU +V6Rnz3Fw2vChZ2wUVikKyx32PJAY8traY2MGBD6NqMz0kNluqtdCrvNIhK8h +l2bJhmaNUDPZSwQh9aUJDASNp1RzTvkjByCnVrlch8cljiohMGEePaWiUlDW +oSi9yFVnnOxHh8AlIVcKqq8UXuIGx2zK0g1I/5P/YACedQaVqUWWB/vCc6BX +KCQL8d31Oud9ZS5Ea6J7ZGyOnWzSOKPAQxCG8gFoLHmnle9mdFXjIEVwUz56 +YtIAyyB5XDdRWWtfPd7ihddWKlbNyKnUbeQ0xRGUhuE7qlplLIvHmfAjVBtf +7XIxt5L49We1MxQ/dO8Oa9svmAjtKbjJEboj0YL4abV65VWofqQROtUFzpZG +bDIXM+vkDVRfpONEpKLjrOC1WVECC8lT4oGTUbhvxZsawGMN8I5qZie+YyfN +hR6cSQZV3Sq4b+FFEiR1whavmOrcPXf2mR+u1+FJzEXUpQhPgpL0BSYxYPvP +OSiJqUv3fGWrjH9bEdS1RwlUqOuMVvUIpCsJTVKLKG/N2fAUmfgzjLcR4KfE +KLbKsRgVhBkJ09ZUh0irqrRDnHOeUr69LfnUZlRxSjoAt6hSNms4j+kjbJcr +kc6RVknDcXm8cRuhRS5mZfbzb7cPt7dt29bOZrMdsx9jU52TQLjCJeOXzI8U +c1XLg/DDUttZ7nCBpufDe11Y7lSPz7t36/sUGLOdJixjAFMrWs+KIZ5oPQFM +f96P79nbjZa6OCX0BFyWsywLrmFv+Yav/1NWNaywG2X0O2BjM6ugpJotxVq3 +duqrYaZ4jcreptoT2dZz31xO6wRhoSwfTHOgl2kO5E19dfAO2wBNaNKjTSsO +/5t/9QdiLXH2Czs+Q30jYnTMqXX43MEJDf6QUSz2sKO9ENn5EJFNbx7gGQ7Y ++6LxTrYuQxHhrAkbn6aT7KOYM+jPMQ/9Ge5rjA+E4foTyXA4WOgu37aIT+9E +d9Bh0u38I5ITOFXPqthMr0ca4cQI/2ZB0xe0mazxTpiQlkJmy2ynYavcCoVn +Vk94QvyXjHh4LrCDy1qMQhGpXzQ/TNyhli7hR6fGdGx38aZdqfe56NytHqPy +LeNpxgHB7D8cn6HyvIf7VIo+HbjPKuJzNEJePPPLhbLW1RRlPkGEAdZZDPwn +8Nr5x2dGbU3L21uBgr63f6as7lABigAPgjvUM5+Ap4zmcSBYS864toDbU7eg +dINaCGgeWl3mC6h6l1rRZnxte+l/SHtVht9d+vf3TNvNKd2erQhLsOF0Nnzn +djFc6mbGiChRaGyxZaCghKOKDH7G8Kwel8JychtDAQqTVXFi65I0VOndLY5E +hKdsSUk8ZyKQv4IEuxKMLUc7TClioeKMK3GYr0lELH1LfrDe2CtNcRDCjYuQ +HvfPGIIvoSuq1zHwMfBHuiPPMjkXEcBEibN8Oa0ShRtdFO6/jiiktca/NWHX +E3/JYefhL/emDfO1s+jV07AbiCCuaDrzyrghZswopa39e1hlOS1robujxz4W +bcncC9LrGWcv6RCOCS4GxHrab9aTcgDGtMPbJ6cMaaoWwVshKtPoNG70jWAm +az/DEzTdcZtRaOBaN1jQmF8gXd43cC28TpjtTi093Jv7ibJhvpUWRwW+vWww +FbLBt0MaxLOpiI16pRemIR8Og+jNYxyeVo/24UkTsuOBtBVPhAattNWowksq +CJTUl/hiPHw1CIYp1WWKVtXF58f6HV83a6MPGpIkc5Pn8JQiFhVqN9ykOCdo +0XXiTcxHYNJVG561tY9+PuOiUypYBMmfmOjElWlJEmuqYPUduXoFW0r8CtZM +nCwuUlew+GtQBTtg/mqyJqG+905z5kr8RR1W8oFBHP23G9UIhzG9QUnxcpoi +t4wK15Pcubwy5vQ9DIURI5BfN+oRfCRLaBlxLQT8m4SPFO6/58AomxNck3WN +lETTKVAHUcwa0Sp5saFRVo15rbHUfbOzWhtPLzZFG88sPWOApsJ5DVhQdmYE +QJiPC9QpAIIf2vnrj+CpgIbPcyPyOJwN9KxQEVdtBNcZxAhgkuARdA8cAzGm +zSrVywvBxhIz4QqerQ+0oRGhgkcqKiIDgZK+tTnpgmQcVzWvVbY71qw4JxSD +gxa+fsHGcz9ft2sYFImrKZrAC6ro/WPz88UAdV+86A03lZFJ0c0uoHeox+8n +XSdFZp1axDq1K1Kxz/3VrLDlL0xAd6AXLxiyztuNAt/HCFp7YzIZkpS2Jimq +s7YWTmPK6gUiqtNX6R0ziOhhLoDPPzajh8EVnvW+WS8El6+1aLh/NmlqZa3z +jzrPZcyPgEhquBAue30r0ElYgtraGbXvqabBNC4ggEuqAMa0ghpq9lo0SlvZ +c53kplIH6giDJYjakfjM0628c0dxnGKMkq6+0CC4wXqKw5JFGLL28xqhhQsB +dZ/E7l5slLWxkS2efz5nFjUUv421gw/St+Qi0EIaQ22SPeijrkvN4dlWDmWI +3fALLorLNPcVQFE498UdjEt8hiMe7xXicAHPtvBk6aODk7Kd6YjgLoAinHE7 +VPo8341pHKwwqAiX3L8xP2CP5XDd25hdLoJ1qH7s3r0xCOw/N1+2F26Q3mFg +UER8bsvC6JfmU+LvYqvqw9+vDSGAE4pgb8xEd+iRyXG8QEJaqDQV8AiRaSdK +J4jF+JvGjIMf54Eg9Heny+O4/ztu5FwPMnMj5pfMtAWaDo9wU4syWka9gkhO +o5kwhvOhFJ52YAMzkWXlY8zEwxpOnFGIBQuZO4J9PMWuwgnhyRZ116Jj5Q42 +GqYHxjcGmpHA+CqpmyzJ2MhwiTwUmhGEQhCeglCwcL88vZtwvF+kJQw9vYEj +1HavD0zjmcx43foEJW82KJl57huFDC3yx+N9spe50VGHs+QpLXsZQi8Mrn2i +tNPFoFTKvAwhD4Wz8VJZ18QKuXBBPZ61cUlFrIB68W+61bvAF75Gj3sD/Vhc +9h2+dum/9rkvZUfOAv6j6xUDpqfVgGnfwiyicpRLZQEXMRWRLlM9kEqfGbH4 +GY331Q7GVIAfmDZ4X7piQ0yvZhQPq+sXFbfufTN2tWqEZ4veFWsFfLhaJlzS +XDcbtZWGBOal9Pdwg3pJ3agcmHkyRJEFKnkQvkQQA+uKYjFFP1zcsDo+nzCF +aZik0SluRdYU5dYF4OF8awQLL3qhpWPzoycmRQhH6+Cgn+UGVnB7muq3TXsW +6b51o7sjC175CjxRZNCLrpQHveu0+I1dxhweh8TH6XqBIXufnmo4ZZzjzaHr +GC99ia8tPvZS77IUFa6sc/GoDAdGvXF8ehi1O+mK49ttArInjo8Hl+e5Qqf/ +utcEZBTbR2NfXFavjrXv/Xule3VyXCF1B3pgj7KxdeqXb2h/cGgqKdowzSml +dwlkoui80TTOS3SHZoNKWHOCB/ly1SSftJ8tWEhSlSK0Eutj7VbVOiPdN0uK +sxMsbyfcHnwMhlMsb2fA+lkaPck/MSpfPrJNXa81OjrxR10itRTeoySao4bB +m/AgH4BsQcffYD0Rshx+6FPNemiLWYryAhU9qixv9ALVmCWQd8EryJjekib9 +IISqKOd0mBnNO9PdrJ0OY+sqsSulLkrgNO7pKi1FOtNFW9dm+O68vDRmi+G+ +NU2fCHlnQPIdpe4fmZ8fouX9aKmb11FqL0kG0O8JApsjOMQPFjsDG3+nvzJf +e1VEIJ2xDErg+81fycMGDlZJrR1DW7pM375/vr3z81Y7q2TDtqqk3NVgqtht +yXpi3JBsprqpeywTl5uDNdODo1uLbGHltaq9Uws9cLw5pVopVTSYMJ88T+SA +X9UbAYnXfvDjVAC/QXT++Awqu0RVsPllIPBoGtkYEGtWBYVQkjxPjjNMaW00 +uAPjhci0eBHPymqZY7XtnhlzviYljmEUwnTD/wOtk1YFKgkIgmK4ElnvzOOZ +OOwK5wUKGdMugCtEbevGu4dkFhe/c1pPR7WmyZRdqZY4iM/v5xT2i3kcsjWP +nL5ufmJeVfyvzDNE84Xg/mX6i11vcjxy9OqqeLeN3rxuS23AM9VN3+So2G+i +x5WNvFcNq2JBSl3iBdCD5isMJgpLuH02R1jCPN+9F5ZNHNox0xstsxeiIC50 +YdtjGFWO7GRFakc5sLjFLEt4ED5xkqU43uQhcow+Ww5ULFnwne7iKScum3Ma +HGYJKwrRabQa/pqYKp0i3xSxach5VfKZu+aNOHT2HH4PYtaor3PMxnzFSBdj +MGCv8mypdV1hGzoS8Yh4Bo/7A6VWprpP2sgVNXQJOsCXKipyZfcTs0NA5NK4 +eCC+/KGd0HBgjw1sPmlo1NQMGMhBD8HUMTHOREBME1olRzfJLSubMcDxjEk/ +fdjzE4YWs8YB1DdNWIUlNQs0exB9L6TzeiiMz7rLnY2C54mQOACw4eHkNU7x +XOJz4PGX0nh+it6b6bVSNwyiCMrup7dV8SlCGCLCt/3pm8320dvX2ZL4oyO0 +jHwbGloWB6VFLVEz93FMY0Mku17BSFW1Anxo84CFb8EGNl3R1Bc32mfu9hmu +emcEKT27ERaJzAm17Q05b5UIUJENhY34u4Ch4Eash88AShmZvuxt7TcaYXzv +J7FkL74D7deDY+RoUudY1kTUNK5HrivEQ5ciniJTuT0SkaRs2vgeUa2wgkDl +FWtdUFChZwK6ZvDhaloPR2+ESA+nGTH2pZjvX2UdpCBQhRjT5pUGKWONByBF +thsjpyLc1kgAr9J4NC29zAdvoz+vYYZlAqej5ubo9sD+ZjksIjq615U2HNvW +AxxbWVPg70rUP+b2LuP2vpL4t/QBTjln+TWBTL2vP/5v6XcLaWyrq9xCGh/i +TJAoSONseus994Nhx2S7a5HifYb3wAAdC3l9+WeLQ4rTrlfAuMDJbEnTAjwW +68Fpo6czaedYRGx38EexV8movhlAZLtVfm4SqVuAjc5HXJbAmHFlXfOcZp3j +/tAaVmk0ky6qcltU5HGzwwrRRHz2Eu2UwrGWqrTLwXYXx/7iMy0yNhmPGGsP +XFdIhy5FmDg3tEuRZpkPW6LOGN/Xwhs3bJ30v5j+hpWQ8wProJ1XtESNXgmN +4NlkRG3i6lKzz4WzgVJ1I5oLlKoagVINaaEarTTbbyN5XM26HvnWaPszn/lM +e2SwFp11mWvWL7TNvtenAHhxm9U3b3qvmDBPRAMvScQF2IKf1Pvety8n0nv3 +xi+aYMzPytfs7+9v37B1Q/v3B5pInW83xrvgiy8cI5yUsywM7YXfe2TWUM5r +XDBrAkB6Qw/aMMQhfrPefu9hzWRdaH/wtKMCpP+NBuhsfYSjThfWZHj0WsNI +11ZCsqoqk4lKl42UyemfjRB82sa+EeHHpYWpBFw1ouycBh8ZkMyKL/YDzhe7 +JyAqZ/GKHHBjwRAZ+i5DWt9F3LPf/cVs0meny9PqAkUb+1lDTuvCAS9rNRco +P8pCp08DoaSRxaS55ARgfSAUgs+CktMLEXcoJJsHI1uhmtZzsfIOvyB5hyC4 +glGUBNeHhULBzqJ+aHJiWPWyw9DHcsBVfBm52CziSNBQGvd7NvEor1n8eYkv +KLkscRHuleNhPl9voCLH185SqWRXqqhnAVQcR3zFzE3O/HKhFM6IPWWWEwTP +d2oOMfz+qNOFLXjugXKTXVwGh+psvT9SmcoCtQ+vFSPlKY2QH5pJRrshndLK +dMCE1Ha8Iwipc/oOq3Hn+ckT4/aeKjlCtz/q1fAksGYCmXSJJ2AS01trupvD +z3wEj1+08TQbjIVC6SIqFNKGE8jCkjP0ydJDwvc9T6p2J4Fs8JQY0VlmQzll +onl3dpbkVG+Kz5E4Fol2PJs4pA79cL3d1uSsBOvkdQyGzOS2o9Q0vG5agOwU +egyHlAlC0lTdyL+MpInBCiKEtvNnN588ihW0cuoPmGgJ5NRz7bM/H8As4u3G +kJJSDj1FaloARYeTqB0NOh6pL6XM2HqD7R1jbK+WUvZVj6g4fLM+p/3uY1Xg +sB7IIkAEfUDRtUSgVBtYIXkt49xJsu+vNrvpj6gYkwXBZoqWoqaFhpGTdAmd ++bi3DimSrI8D5zNBAPVZXFA4nVFzVSK6aERQzsmR5K2RNK1E0j/j6Q0iUsia +YIAR6MoPlw4qvS40baNkGiCCCLKwTbVxuM1IyOxUo6DjSA9kZkfjA5mfmh+R +V/exntdZjcHhIPrfTGRg+x/qi1vQHUcGAszigwzAjuCXbwNS4yFmiRPy6Owg +HvepEk30AtFNnX9iJhlUrZTdIvLoYxLxMErxUPGwOhrrriUE331gFmrEKC7O +Yt1FoQF+dViqEcQuz8dfs00QBta8MqCNnblrvuiMCaITj72kGcxRIdre+vrQ +iBsUWXie3jldYmBD3NMmg8dbBJ3+gkKnLzdmekFusrrVSfLqrcoFTqA2epOw +xRFFOhT4y0Fd1oMEbTS7EyfUj/Jrm3OOyrUvPG8FevBkujfWBjMBmVP83KT9 +sB4z2peETL8tOPf/u3kpBlVDLWXDxCzsCh4s7UB6lV07mx6jt5t0/EsRvoeH +L62qDZ1n5Hhi3IwM4Mim6ixazqX/nb4yizAYUKCYlZ8veqCYnHpN5LuF/lyw +8ZD4hhsyaJjUKgO4CaCtbUeLj0zb6WAMTF51c4TstfT3QXFNti5vx0b8OisX +CAVgA7c+EM6hHsWHoiBP4lfao2wVyVo1y9ssszzqqNOkLtpSE2vQ5xCYy+UX +WoQGzSpZayEab9b6HHpMT2DvssroEjIFNdrDTZEmdN+APC24cHNQSOQjiJeN +FvEiW/N37zHN1/n9M4meA6z8qDfmhXGVYV3FhsYexptD4/9wxdJKN6DYfa5Y +OqCLJZAoIP8I5f+3GxnVv4daseNOgCrvCVBhgG71IRMjV28vlUdmads9jaio +RTAoRNt/o4ly2spG3rLb+bKhgKKomAxQYrb8SWunObaOSo83HXwrMgeniaWx +XmvuQSdkn12JVE47CWKi52elYMNFQ7RDrTn2+cZjUB1wj0glJGc3hJWIMOv+ +v92wISabgUGZuIumdRIVP4iQYmD4C5h18zpUNAraA0YDTJSEhj//nnMDsz4q +jfAR+DcENboN0KSMgqrzhPb6FrgJ1WknG/M2dmRZ7aRuSFW0Z5ufKMjJA5Fa +6gb3bCkInKsmcHoCuu5ztdS5RPXkF0jjT26UhKUuvqokU8+SCdxbuG1sQXX0 +H9fZggpBVVAXjUceTG+iqgVvFTg4PPcmxoNUVNMu1RWtgx6YY7PhN+utiCbG +mV/ME1B6ngsv8RnGt51ZvEmX5fKIm4xld7TT4A1ixkN3DMe3RVpuJma/S3Iz +aR+ehkpSiFBy57SOBXRNZc41g2cDEe7A8HWgNwrOIsVHb9AgrD8+VCbO7oiq +r9AVsI5kx9zLGicMBmKHcOGdtDOuGgcE1j+sKIP/kY4mHacycUZEtkl/OF5n +GdouwZpXgpj4P/06qytE6h53oVhgFP4WK7f340L5bZNulTEODmxiD92mBCde +mkic6rAGRFkOHQOiuhlypy2IaUcoQjLM8cGpt9jle+b7OXAun3RWKTTyWqZP +zOEhYsSfHJnw1rHMdD+LiuwM1SXseaS4tZ6/Aa9oDRU3bcTVKMuuY4wjLZ3+ +Ea6uUEWR/sO3N2CMvua4qEbQTRPaOETPq4gfOxI2EUajt49DA0oSMXiEVpCg +u2cwDo8gEYkRvj6gcSYFWdOFRhwekcHXYWA/sE94Z1N7Ub+7j10IH5o2ehF0 +X4xyeHzwBM/Qf7LICMWuvTdqLdt7PxGvtbaYH5aHL+bwuOZqrRgon7Y0KjQs +KAK11vsHhpFSOTTqjB784LkpDcV3goN5xuNrcBH1zWl9pfW506hIRjVsUIsM +4tRjwDvEAZJ2IJoERwK+tFHpUy7XcsdQW/I0zUsYMQio7osOtGAHWE9MGRn/ +aJ9tViJ86OuRtcfoKoee4DnpoccBHwgmTUR6e7ZFi8ZGfNJEyg0twcQf5mO5 +e0tS5n6jG6GUNIecZAO14A0++go2gDBoxJx00kRvkAOkusC6gIwc8JsapQuI ++S7D+OjDJjkCLGb/hTEj1gDUD5AiFAErP+Xx1hNTDO8zffj+3dVeffjTkYJp +s3nmAXT59H/qCqYYLocUV+5xBZMPynmN3OV+2zRlEwF0EAEDfEVcfcNpKwCN +BwR8JVDfLFAwSNctV0F6bZAAZytiZCHyftle3jdY0+dsJISYO3OXzI04YE7R +2yii2mKhInrVCP1Fca/nUfVLJDQiC4sBdoXRKnza61wiAdOoNAJG4iiaQTye +DAQRkMTT1waknzhRt/3EBMeGGE0u37poBqtrI2uKvflEsIVPX8dJPVmfDqQy +YRNJTpN1rpa6Or6qaVQ+siWkjmSOA+TqstRIW5I+GyAzDFhHBWUlwY63cqt3 +5CiiZvFjOxwvooyPnI+C5Tj5f0ychMgWT6zrl34BRcgWUp29nVRnO+KkGqDN +8eu9R2cHHJ6t6M1l5XqQdoKmU6PKHkpjYaCvV9KTKxErsUStV1smRNBv1HMK +wKZd1AFgo2ajzhVTZE1IVZR3wzw1mXHUy+w5fGQQN8bZnOOmqRpw5Ute4UsE +5kgSOmERQwp56SUyFkBVsESkTd8cR8eFZ5xheTUSMWZlUdAg0zVwJimm5jhK +rK/yA7RllF26aStsUXVkrKgDZS0kyXJ8/VfWUgTiqwQL85KNlUXWrwThA2GI +Nty23X8RbbtRRr3YWUXh5BuFLh9SyvHx/5r46Ak24fjoUIFF412MxEeB75H0 +3vCHum+Qp/DbDWrGUcWfbXrOqpgCayVZBnCTxsCAulI8wbyjE0arsq/t0x8t +oOXhWSMXUlY40BAaRiCVQbUUFMlmWQrmlPcyai4bZytNAxszS8Hs7vaZjqrr +sG41WvGhVZ6vG4hEkqrk33eqSmK+e/6+aetKqAAnqN3Uis93Ks7zfu8EjpW9 +SjDWRZCkn70LeTGnV+TiIcDkf3ELMd6kIh9JjsON1SXq1Iq8L7LVyzueP+qp +BUskztqdxybVeu/5YpPwXNVSLtp6L5sfw826tOKQ8HCYZudhACb/lauvYiCR +3Soudiaq6SaQyJukFfzbZj5CS/r909MUKRMRAEl67nM897182mCe8ViwIySo +XI0YCKTtw7Ae62Ln53GN0iabxrq05QMuU819V36+kLHLDhG3gtScVFXos7H8 +K6jwQIWF6BRxDloaGg+QKPjxig6BsUC0MQ0D4Axfpg1XZMNtFRv3zeDsz0fA +IWq11/HCCUgtU3fRi/KHvwi+UBoaZOK7RTXWOLI8WpIlNtpmofiM9lCCIyiW +4/qxElxO++Q4o428h0S+erxJ2z056tdOchv9p34bXSwWbRt9yhVIHzJiA0d4 +nfkpXNLoRX3a2dShJ8hjwH2Ow3KJ/MCvnDzgR4VuBsPp0dIxn77ZRJkrEKo4 +KKTIrwXwKtpukJBUIdJhi8Q/GeJUORZ0my00W8eUV3Y3f7nVrTgIIyLnPU3x +HfqpFX7t8gkHEhbwFeEZDe0nTf2dJdTNuvUYV9eBOFyEEEB39NfHwB3PjG2x +CT6YtM4HBnI98BxJhlsPkNpJwOq7GwxVHXcfu0Dxkm6zE1iLiKaxwEtM2FuL +rsk1kR58jYHaotfa8JhRnNf13EG00wz08VNpS/2NamA9ozvq1zqLIXTSi+an +4CENdSwU/IoohHWgnmL3CxrNtiUezNLblxTd/YdFqpIKHAuf/rrVPno7y7B8 +9Yb2Jy/TIPttKCPRbfDuQ67TTVuKitoCLv9s0XYTYMfMOKcLX240bbKJ7FaJ +6EGIm2QhosSUvqdqD38m8Imkv9BDM/0RHK/cDyUHDomCByMtd088IMXU7s1o +I2gnl4vzzdbZw6+BGaLYkNb6U2uDdmCkmtF8b+u+eu+M4XsXOPdbzZM7SYv+ +VF1UsLWYQ6W3iLaioBmX9kIExJT20ettOBR4lvT7RwUDMo/dy6sopBEQl45y +/7yja//8piuELnFqTxb4h6NRgjocSu6o2ylsDO1RNu9D2OBVcoI3E6s8AtIh +QP6uRgUSjV9Rirzghq4rv1i0c6nfNmw/Me2AUj5SBAUSGmp57cIxReNmn+Zp +BZQKRUFpF15WfbakeQJ5yGaCtxb2luHXaGCLigtDlTiJbIXAix2ag7IsLzna +qL+iUFjBYEVhttrYVnPA2NRqGtwNdFOg8UawyToiLYQWHNfa9NQCAZll+seJ +eiUiljCuKqcYola11Jpmre8g0vurcuhACEzmTrOayYUwkS5CxP7QPOC20NoJ +AbuLSq9qxKVs3moRyeJO0zRpVptB2HBdtUpfnfzW3CW4MN5nzBOKojnzg/LQ +gTp4jNZQbzyIEUjI4l5pC6TEVGiVGEakffVXY+0nf8S8pK+lTfOp8VK3oCnH +9TgHA9cWu894aM54no918SPEqi9jsVUmckqetwswVrr7Tsuvkg2UMYUcwa2h +NxtZrXStAVcor2xZlem+2zjQXnbRovlSXaBRJDdtgiUfx8xOO5az31BP2JiR +9bYWJ6hHKM7d1tsZt942rQbGRwwonHYmDWYUheqJVIhebKkNt/NGwQgpE5HY +60aloo8fUms9uu3unzFb76wT7TIzW5AfeWbbwOMsxw8qMdp+7+i+/f53Jn5w +iyypWmzW/Og8lKGOH8Nr7A0LYdMA/Lkt3f1P6FnB07Xcsd004WkzXovEC5Vh +2R5wxBEVNJ7y9IvMqKorjRHV0ZdsvBQUQERuGomsq6+2ajZORD1PV1lpm15y +Q6qcB89N/2y0bdM++1cRMOHyiA2MqjK7XwM4qhJH0o5pcrB42aLdbtjIGA3I +/2D7Dl6Hn3VG+yOI7SVITcQwHA2GT7giyB9hjM+/gMwxaYqNZ9GBjOi1toYQ +Nuzl0eTLI7007NVCslk5dXnEmvJE7bbPmZ8DZka27JrhpKVBhPrkD/hllwZ/ +eD7SGfe52zKXut389AkMMjAw0O6vFbHLGIic+hk1oVIQw6aSfdWmQYiDnGYP +hlIcFpY767AgJTrwZ+52IEZvJb48TpNb/FYXxz2tre4J6fSrckr6bprhPjtp +ZlDAPJ3toAIa7CCHQKlLCHQBd4g3CIoqsRipazKtNX59Zsx4t6NRqbfi5PjQ +9rW3k3PG7bkdPPDMz+YTb8mtbSjJmkAkkIOBlPQesuOGgztRZycCNCC7UQog +qv0qIf8oFCYDTO1798+SIyxGi6/Rqtv15d1W3f+NK6bQdpzjSsiYb5HiuB0w +6ZAYNkVRL8DHzVxEIWQMmyOO/Rhg7MdvG5O8sZApFWEGb1tPMKnApsfbSqSV +UkHj0zUoSnC6QxZvm542vecjd483yJbZ4qS4Ax+wsVCLCM6cfwxa6mfrfapO +8rZ+so2IwwG9RUReQz1+2hvfJIRygcmC3+qttgXnwR6sVRsGuvlmTjn+XOi1 +0877O22WMp2MgABppz3FYWApsQ9Om522CYPqqjZzqJ8UY9ztscUA8tAP1yfV +SDDMR0CyRRcM5bX05Mm/d6XRYa5x0IhPmh+ZBwzU0WByXFSYRcoktBQ/M1GA +SojIs7KjuJR+LwdtFDQVOBBzJsFzABxI27xmsJaw0BCZ1Ra5+NED2zQeSPx7 +rMfqLuPuibxHdxUixqANiKJSLtU2OFh1U8VUZUiILChssN5PsMFLFDPm24oa +6QrPo4xL2xqRfrKv1uYZVbev7nC9KNhImI/QLDK9rIjzoRWx7LtjgD/aW88F +los8iyrqO2GVeRSmuDnuK9SOIvF21m//wo18i3i2UYFjjXrhVgoVGwhr6bF/ +b340u3joSoYYE+7ZudidYFJcEcV/V3jHHe4iQElEEkcC7xhCCFBJNMKVUCBZ +UtWbig+edbMq8VA0LTahx2OEb+qkGzylTc+z3tmVRL6og2kxbo59vxYX1HQL +EdEex2tddhGHP3p2io975TYcdUAsUNb3wPQJ71qb/Bb0WlnbiGbs0d5AJ7Nq +VQ5wZnu4+dK710VEf4p4tiFuA5EJD/Hq7mclPsfoAUTXK6dXy7gAKH5eIG7w +aTBJ6Rx/9BTfc7euS3LX0eb+U2dlg7LEGP/6OD59is3rvUEYfIo7QBgfvzCC +pSIn8gGVyDXKGxC+Aedr5goa2Si89+hsUopMi957ZJYmqEMRIUycWezbKgHa +z/qhPTBnhKdrvHbWUiFnfjE/45jYWep105y//Vtf2i7ryMHt27df+jyfoRA4 +pHnOyvQ244TVc9pVE8d0o/IdUrwDOT347MTLeWrCUZl9DF3GmRtkydxAWGtj +PVbA4dhFi9OpSf8NAp477ggGW1wOrbbP/NwUPv/dQ1OrtpwfuqJiP9fIKCoM +x98HyumDaNJtb9QDH8QdfP49VOmwTadVlU4VpnpEn0GM6yVdislXrscEhkaT +sziNfZxQAcDGDU/bqYdn+9UhFZIBjWheoGafSQYEkBgLmlAtDpDjuXyadrPn +8bv8Y8ro3Pb28TqVzADjpOdPtrLB1U85M09b2ZzHlk9P1CIb6Kzq4pqeRWWs +vFXtYzHd43J3k97HWpZlemsLMkEu/ZiIqexjaXebiYzStwgqLcT30zq2pNLj +vV+rtbdtXteu1+tafkz6vuSf3W3+seyImlyQaWyaPpLT5kj2hCbc7t/w7LZq +YAij9kgWVG4U1JnAm6kAHmFY2vknXJpCNYxcCRONTvFgPo6lLnB/7JgkcabF +bgfOc6SbPKGZnFNx9SbQK2dp5n02giw7Qa0ZHcBFtyRNb7DHJ4TQmMyz78uJ +ei7YkFLSPDw2o+Zyq7FOchGW7wanhm2mC0JWXKdZvlpeU8uorC7QOeAWpM4q +ERz4ddKUnW7YpqwYweHP6ZN64bmRVZuyT0ykI1Hqi9z8AHzU2I3qsM76F3mI +HdjopnOB9ehnCoQToMOKFWgjE9hD8ORaqamUOlABOl+mr1WtX2I+jhIwEOSC +h9JntT28MhIhCZvJBUGghR6fRWV65X96foLmztxfXdIHkxiCpYgh0ZQ9mOVg +94hqUHPQsX3hGUEnJ+QB4oSELFpMwxZCI3qF5KL1Y1/sLj7WrKrrPGSJ0NrT +FZlmYlCLTJFnI4ezGmDgDc6rNanP51p6pf85fr/X+bsvu8XwfBojbZoq7+Y7 +XabKOOZ2h/mP5ox6Pp33fKNKi/tRW2zipv1Vy5ol4N/IpbRJkRWj9PsK4psM +aCPPmFlns4uuK4pNGhj0tzvpI0LDHXQcdbtBuZS+obRz507eiOz51pe2UcuD +00k9Tx+fzuVbFyxPr2VPZ7/a8hk2+DqP5S2YQjkiHtj85WYS8lfTI5qo7Z6v +GUJCiWIYiwMoLxTVoey22kPticu83xFaO0jeE5FzKeY82mCghWfloPvZ/dli +1+7nP0audzOm8tFW+kSuc9d71w35T9z1fk8SKCaMMozk3f1zlCNRDf7+mWnK +oXPOkrJEBaWWFgfSSm3pKKeO92C4Tqgcqgyfcw5p5cNq0/4eaNsGHcdmfK+x +6/WfL0jGfP8J1tbHGm3ceY87ZXzm0A2zzfGJ+ggfSxSQTH2w3OrVEH9AZgyp +URKe8yhpXHNHNdaJuKPilaqNnzJBmRlKDGpORL8W1tZU6zovnU83ZOmmkU4j ++jDK0m3PF0pdO6D/NX6DmyWCD3fS59HgwntvnH/ibnDfNTG9wQcZ6XfxlOpf +frQRqA1Dxi7Yk1nkdlvLe6Ttklb+kDKVMH/PkjTZW40Gj1o1xSg9rXk9atUd +kLTpVAXkI6NWesMyOV7weRUediB2/zE9Nf/3JGQWACbMXkxzPxUVrs+eWyGA +iuoezmJfr4WAA+khczbUsVW8z7peiWmcEfE+J/milwu6t25fn1OHdsgIEJ4H +7CGd4kN69FbzlT45NGEIz1VehH34+HCwCMvqhohllDqu8CFzQD1IkT6gm9wV +3s0okErTH5tP76kvLd3a38/50qMkPDNTZLrCb4Gud+ozSJp2K8ZKGvkeYDvq +oETlWVt0syyTsWKQ612PQ6UlElw3VmMC3WYJgYT2xGCO1okGDSNvZr2pVQBe +2ePOaeE2rkJpUISjiKN0+fkmra8mApIZhJIr9tqfDHZXzNEvqceqLo3yMV9u +iiAyOnlqyNKbfNgZyztkD4mPv9giQeQpPq0BG1OiATe9qOLRNElKTc1MLtuj +Oh8H8ZTcaV1bU3Q1cr+zqLGH4NHHdau737uy9G9z97sVP8f9fv7RIcsiiOXT +is2nM6q1P7PPKeVhf1UKJp728n6I5iOiPenGnnyzD2iHgbBFAoY6p3KtjLGE +gjBkj2o5Mr4X1hnPmCxZhr6V5ti+jxmTHF0FPejDg5kAkwbPurxNr7OcXgU0 +g0WTbvwB8PcWTTkPymnmAR4CGpc/1bCzEc5X2R3YKlUAWBuFrEgRW8FrUs9W +nLBwTvte4c9ZnjmdbmyIIHBy+uT2aJdsMXAtXgwYUwwfhKMP7w2uGMDh1sXA +WUawyeHttJQ75sP+z9zjbvkPnps2EAQ6vBPc6gOCYGWLbluf0/p4OpfK3pX0 +8cpdgDiYl5IUxQid0iL1Ut6w9TiRBMggJ4PvLHrzhwm2Qx+RsTT9YWcb2eE5 +l+s6Jc1uVyfY8LMUgAD7oxKeiaiW5mwVHWerZs84K2Z19FqyW4LDaXriFyMI +ZJoMrFNgGSoAfrQuybuj67wkeqCNs8GINX1suIqi5SvGTwAMUOrdGsJlHphN +qtfRUv3f8SKBvbxxaA/EuipD7u29FjUfVej0U/tpmhB/18zy2QU+/6+/zNOf +2zbgLJsxP0qGRiNIvHa1bxKvFLn+6pRnqknDyUl09lwA0LT0AdaERxkYyJC1 +jPcM2sNKiP1Ou7V810FqbonmVe5XJrLmz+IZeQtSsq2nBW7aN/31ZgZ/jRuu +4UaVfXFm0/PpG/+5yf5GVcgqIVHSUdwcAbVMXYdNQikYuqIi2MqwxtM4kbJN +SpusZKuD8yqc/BHCfqy54TK67JESgclSHpJFH1ajU911+0klgjmsFc88DNvP +D58daX/6mxadTAHEXzg+0bTJVa/1Jbmm568Pj/OqMli5y81R+ei9FWmypvQu +FJBGmW3R3OHgtKGiE4hrgJee0kORCOPDMxmn2pC9RnheH617RZ1CHDlqpZBG +lYTUOluiUpvlVaea6xpDn6NbwmFjPOLWyDifVGsl19lxfnqoWmu0EsAEyoxQ +SaAzxBUm6+3tnlWlqd3GHx2nS79Ihy99bcWASr696wb8ORP0VzsW4v0VPSrG +L/6KO6bnYvnzc+7i77oHZYQu/vsd+Rzf5LybKMUd4M7ptkwLgDSvYrbDybM/ +grqS5Enm7TnVaunhPm7/UVUZeOK3r9AEVnakZW8phcoAQMSQMdtvT21FbUg9 +LtOr6BqtMW12JXLj7yagOR/dfFwBiuhG2AXUxZtVy0DNrTK9IgDAbRYg3gEg +2aytlUX7Kf0AIzdbDKygeNjfSw2tczRQ0bsoDRAkxhHOe0M2UGmPZTf5C3hW +o6NbaX/yrPmwH35lLmy4ziau4VIUoo4KgOl2HqREn+Ad5iSK7k10bcqJGc/s +5/gW/e5WqcPDw+31k+X22TsH8CP9XbOF4wvCUaMSQUyJAVROQUkUu2g4QJgw +zZXePYdDW45vqoTmqplGafYdtMc230Xb44NnJontXTe91k7BhnOyPaeTbYFP +7NUXG3qNP2FPbMyJdDKYW3XDcz8wjau9EHFHooq1HOgypWfXKL3WgkUA8vNg +j+1UKJpfdWqvvnTflD2utchqnwTE+9Ttf+4XrsMaGhq6Vq1WvQ6LDt1Q5PZn +/qgHOdEH9Y/82z+6MuV0LU6i9F9/Yw7qbBKuUY+NmoM6ZvOsXvyLCSF5IS1P +GLMkPXKVLktGrv1dcjAarJI9tzmFAMA4VZItRlp5NUMQ6JSgW4fsNisTkeZI +T7LJx9lL+D1It5A1s4e3FEyysPcnpz5wPus1PrkoSGVT0Ow1ce0YY1X55KLN +Eq2kGWeg6zCnrJVEoGyxE9JAUlmt6tGW1lXTQmNVbaqrZ1ste3iHItv+MTzr +v44uiw6i+f52lApsI+/hU/T5/dfmdeRnzF7xoTKPtW5CdMLN+67ocuHb5gx7 +a9a9aZBdo7W8l2wzkWSbNlzTIrj0VoNOqBUKS0/o5dNjoX6Abq76LHyFuy9h +6NB06vCkaap4C2vhqbyFHdYSG3qXIDIaVXNuD0fO7V6ddIWSLG3+yk/mjSMd +nduhyKZguBdm2hf6SkuDwcDhB5+B1PGG+NxeXWrKKAtnuOU0vpxTCayxCteh ++0XndkQ5uosY3ijrpZ5ujMaBAKP66K7SdW20Z3DcHN2wRuCj25bjhn9uUEf3 +j83B7Ll7zbvPYZs34xZJNcLeRO1j37lnEHnod03XftHwS0FRv2agqHMqI2MT +YaWEHpqzKFSNHEzPLq0WJtTqy5Jpbl1fiwBQWZ81qTvmpV8/vH3PPPEO+KRu +bJ8ZCU/qh/qkVoJJFQiNffak1uO7gr41+iigU0sL4dGY6NDLTdp4NRTsVBYJ +o5ryGPiLkCB8AJROehW1LaVIJ9JG/fbAjgcIgfTQGtTAwPX0Y7PmG+tVCAIZ +0qAVfUz/xBzT2ErW+uxkXJa2gizGRzHw3vnXJaoQyjimDQsNxJF6Qe3u71lw +AAIMk17tNCDOqdSqSS3ov5puTevE5vUH065Ww6a1/QhoMXVNi9EWPqI+UXBw +1uz5SJLd0T4xbI9uNUASkFLvcy2qGXCs62PBygC9mHbqFumHEKKKauCTpyaM +W69eOaRnk1w/xyPWH4Nu6lqhMgAfgYMbm2exbhYd0KmIHXeJHdNON2YiqIGq +O6BdV1y64zIHzigEdVQC/J31oCz6nH7RvB7ZzOZlM7uRzy6d+++Z8+ltaA// +oI9ufzqfdbU+0AOui6dovvfbBiGtwC1Uwy0WWqSKwCsWfrlAknMjEfTAyp2L +Fdd9mRvf8+d9rWV8CcPO7MB0xXVf2T2RmcAB0urkc1iLK/hk7TmcDuRv0WHl +g3PYAyptQFUApzzgUCsDWvdW1gK40UmTZJqb/4AjKJtWZDqpRiuOGmj2VYo+ +krXHcJGPYdpFma/0FDGTX8V4OtpNJZF9ldr0d9zqnOo8BIs+hl826TLcuMpY +lRZde8zRww1+OFE3ODauVRy9oYg6T5oVCcEC9YSG8doo2RscWAIctUDOc0ab ++2FUpdVEAAjo136Y2tyPtT8tfjrsrHAmM7YKNd1T9kr6eyg9eKH9iptK9QVt +Eic6YefVPBnZbiL8RJgycOgFPnAWb/LoZFIJJWSVbkdBn7moh2TBAz8rzHRR +M/CcwvLWhK5nw8DLUz2ZPjRFwImWgPtsK3TgpjW0QuY4FeSWFja2YFJ0+7PL +Xc7hitTipfa4i9itSP/MrEhrOG21HomOdqhVd+TyBPWTsTvOJgpK52BR4fwm +vkgEHrlvftThoNP7/JQzoaBBwBJryPIZlMG+dEJFB/LLnm3/uiPJ7SIxYn3E +RIwvSGSy1szaCScWr0L3jICak/WqIrRj1OfHaJC0vpsC60yPRVEIX87GEdAE +6dtg5/TBeOgGWcof4aX8329M+q63azF7nzxqNrlmz/F40uuw/9wcMZHBiC4z +v+sSmu+B8tP+hNaZpXhCq9rT1aLTVe4YxiO5WfS7EQbA94xPWz6yfkeliNTW +0oMhTN1xnPSVWuErVUsDLN+xWHMdC809d7V/U1cJLXfOXKn2V8kiP9LPtfIT +l78Cwd8uQx4cCF4GbYmM1L1tpFY9nYwsg2KQD1ydso3UtKL19so0eA49wtmk +FSXO72fGwN3zSYl3QjhkquHo2m+YMTgRMs/xuUEPoY/XX5rj1XP9qI6XXT9u +n8th/WiOV44zmBbnIpzGqXGD9KAzNhpZRq7ctZjpgl46/yTBC95GnfdWIxPA +lJiFNNXNHVdgSvpy9Zzg06Q3qNB2DPy4lP6iK5SvT0wZr/FJS4jtS7zfquK1 +qdnKbC+txVIIjMfRsj1D+llkGakxGpuchaYPvGhGbtH0zHXpcOkE5vj21Daa +c/YY5iMjmbTbpYKuElmO5663rzAe51Wy10wT126esyCpfahmL+f45BGMU5/U +r/t3bXQryScVVaTz/Ejv2iuvk7/H75AD33tsTnOKRuz5HOyB5sjza0Ap3fXt +zR7jgwbsU2pQrvV+MSifY88QnDENRGLT85xKhGq9Y8B32SX8Hty4t7VhKsyn +sj+ktpGImhnArGZkGUiey4JGW/ERTCMXwWMsdmO3jaj7N2QDhwsa+vhShD4k +1mOnG2U1ekHRh9HLnFvQ1LwN+X9K/0dXaS/oMBlj4z4cJhRpqOsO8Gz6w1uc +jsg73DLgpt0u2OLPqkP5V+ZQ9lw0/p1/OzuDjfR2pgIQNdlr6Q160xZ3rk6R +Dhe3G7UIRi69pct8KN97VO0F04OLS7oY6vfoAXiagQ2deFF0Sw56xuMZ2tzk +/Hbl+LiBxmV3tN/s0NZ5X93IpqUoRxbcrTU0s6BzoJmVlYsWvFnQy0Iryf/s +OHYxnWw2xEGa+8RkezUdHNvkVgNQJhlqnwRum09kf7AyPPPzBaMMNaRajb1f +HWpv3769Xa1Wu7caJr/VcEzQzYr40znuWK/xcZRjiByHo/ZH6gR+07/AoxtE +PoGz+gLfuaXgZoG4WB8wbeyX/xgUopm8HRFSbizzCQzyYjUQXLAYoqenk7Ij +u/vj7PTOJ1zcPB2+om/wnV7btm+5d565cNlLkSTIC0Bz5GhD3RfZUI8oa60Y +pkK6WZY96I+TgqZCu0UrVLnUHNeMNRnogUG2Rg1kzPEqMQdGlImj9tANRyYr +TX3ounUeuVzO7zy2mdOAabMcOpwUs7ujLV8elyue4UTtklO0U526m9xlfHPk +Mqa9Hyua4etslAvd7AsD04j0gr5mCjHKhRdXXC4ksPuZMTURpISY4+MIjxWl +Wzagbmlsqy05Qyy8BhRsKJjVJFW3ESzQG+QatyShE+N8HPdFuuADOgNmtAak +Xjv3r678pYze6M3DwVYEKKD0z62eHoeNyO45f13yMXQkRyPyqLQUAb2i0VAl +o526HG8Nu1O59lZls7uQkcp2c8bDFOV9nuMhI+KQHubLFYeXLtgvq4NplsrR +rd5+WbGYhSHhh9syzv6Cf0k7L4c7B9AE2hRp9QmemaGCksrHPt6iBOSLoWDP +J1Xnu/vnkppjZ+bsBc7TmiG37MtaF2szKnnvETAvAsdrrhRn22db4am8YGYz +Zj/X5AOJHkS2weVeLYuvwcUq10kzsu4YjdkOooEh+tkEGzYrKSJr2AzIbi8o +L53DsUiFSAyfSrick+Q7oFPjmnuUDe4U6h5FysKwR8Ep3CGn8C/UKfyOS497 ++WM6lnasRrOfX6OTaXbSZU8dAUu73z/VopGgpMRPf0MwdD5+ZT5+YAkJyTfN +hhmHAPZdDclm5OS4OYMCUQ+V5S3HotGDY5EJtnwaQ5xxYOHsucj9vZNGhuxj +1or3L7qtQf8CedxQyNq1Lxlt/texBJkKQGboYfrdQLpMW2N8RvllSwQlE6M2 +cR3MctqCVLst4yrhXb2mLcg6dyDDPuXjSIHo9Sl/pQ6k2QavzptkCYXDfCjp +YJsNtNvUtVqt9mdu3Nz+H49QBfK75rADPPhauh+9MEmPh/kQipwH+Wbcvo4a +lT6nPN0x3ZlwhMqO17RjeejVnMVrRg4pupY7jMmLHD2z/e3TjQq9tmqTIgLm +s5EtSNXxxRw4jLuVcrgFUbDbLBeHOH8s/6I3bz5nvKI3blrgn2Y5w9e79zDy +GDVdF8aakbP/X3vXHiRZVd6vffs9Mz3T8+qZnvcuy+6yC65QyPqKI/jYaBFX +UxowpUxAlsFEnIgGUWA0oIsILAoyLOwygLqrvGah1A2VVKZiEtdUKNdgDCGW +tckf1FgpdFNUUhOtJJ37Pc453zn33NuPsVL5w6na3pnumdt9z/nO9/h93/f7 +nGDkUiFmc8b6JvY7Up1JuMzWF3+60Fjf/fl83nAc3NgH+8MihtmQYVfNQYlN +2cVvrIaG2yZJyoL4OCZQYpil6xZaThMlXKELHbWWcwYgy1qGUIOH8MUA4gkW +MyFqNN8arCq8SRI3PhaIb07Jf2zxE7vkjHT55/w6KRBJZYBJts26cxYdP8o2 +rd6EYKzKtDndtA+M9DtBCFhaJ/0BxVImCKFFwiAEFFJSEHKAhU0HIZcJabvc +WNnE7BsX5a7w8/jTm+m9NYOBzMihtPV52sSfvXOiV3IMqhhDIoElIYGq1Fbg +LTxCuCCrDgX7AYw16havyVpc4ODIm2RxuAy/lmZQh1nUnEBDi5qargi8fihq +2zzZj4zJfmQ1SwsIqbCaaaMWFB9LzoMSYoptk44lZInr3XXqySKMWabZKp6o +IrKfTlSxR0vIhDGf2xgjXmTpaBpVXCkk7YO2+ZR89FYijltqlcrEn95idFss +OTcG0taV0OQNvYZYcgDKb7iHQ14H7Cv42xDyehpvKCYAiaJBnCXX67AQyTG9 +BZO/C3UOTkjbcanYfFWpTuJDDGnWrPAchOzwJD4UzaQKYGG6R13k3ETlgLcI +teRL7B6sTWsfjYyk5OyF7wPsvcpzvuOZG6Z17q0szKkTSwCiG48l6kb2fLHE +OtvFFX5+TsYSvy9kj6pOYxm60zJDx70sIMe6zeBtRu406IcM8Lf2A1r5ZK3g +1XKT+HTVwM42nSo2Btw5QUlgT7JEQy0zAnt2CwD7HYOqC2BvRKrlR11baiF+ +LHK9bYUGFEjgbDO3vJQyHKptSlf4R9HBVkksqXtTPjPBw/uSMxyywgC9t9AD +7U3o+FXNNpP9VIl5t5xjaZ0QAmjO7RCC4kzEmEG+5jmEOJ4QQlzCIcRHhQhe +bRtab+oNu1QycKW3G/NqSNc5CTcum6t9rBZdWvq6RNJDMK1kUMRCmQchbt8J +D9QcmVfMcwyywL207BC4P1AnRQd5tsdiFnVBWtRuD+VZUlyQk5P05PgWbHcq +ergiN8NzRaG0wH4yg3m1jbmSZZlQU7AdZHpHtLh1sbg9/jHGJRengilTeV9x +W071wMkmUYToI4kFEas8fRhE5gRbUBlEfEJIG1FEpufUuJ/Eat57u21orTzb +hJPlYAgPHb0+084XSqwuMr6RDAFST3Ae/ka/m1dzq58RT1EKLnLpbI6fIzWK +GJKyaMKmFtsYpJWT4+dk9nbajJ+LRQqTbtJMNykfGpYszYLRJIGhFI1tjwej +G9RC18tCp8X67jrNodNhanSbu8/f1Zh91Vh65EDxYzfYPTdycP05eA1+B6Tx +JiFh19gmVcJzmnFc1OXrrjuC+Dyj4FXgkJC9GNRiVuSOJTkcHv7hONQvjw3L +nBmQRiiXLrKSXZJdSllOXSzz2SlCPcByxkODbdibzIKlSoqT5lBJvlv83V4P +gSPCbH0eAkcrHQZpBvgLQCtUqUALTCMiHRZD2Xq1B6cyYrLRuCZFyokScLsq +lcrz2WzWDhOIgiDmqkGYoFy1xDDhFiFXC8ZO+hrnMSvGO2J1wv0WyRWUa8Wy +YsOe5MOzBybzGhWpmoRYyY1YUW05tfHE9twrVJjKhKnx071mxhUx5wBjznmq +Yf4B5Inc33i0xmekKOE0/JdSbyeyWzkz48wkXFE33DVak2POVD4BoNwhycKo +CqLAWcu2QQ/SJXNb0ifD1H+3yW1Rjh9jkqu2EAtjf2txwIgWih6/cLUUB9wm +hOta/LbkZrZUIxHoON2nhnk1w25jslnXRnu7UusXuspNK5R1AXyVW9heemTU +7v396kiQcVJbinwUUlt1eK3MSkxNxDGFyI8Nq7BTFSmzp4b5KxKp7Np/3mci +yUghSRGCLgaOJPNmQphJkKKiuH8YJWvUw4hYNSmpLknw0ZTUo1v2icmUKBIi +9MhUlOSXqbg6qSW3nZgPWnbblSP1RSExHyd11OfJQmlJoSSBM7f7gujY02Sg +FchtoqwAz4xi8QJGpOfunqCSuqrJgEZbevO08K8m+dl4H5linh+TTDQyK690 +EbpaPZwLBasX+VsnX3fBeSwohYULX7cr1k/IQR/4YoeG6p50JVq0cQ8FYeRt +9xjCzFDD87dfDjCZt7YSpWKcjZVwfrRMTPpZXsotgPRLgQvSE6FAt694I8m/ +RjReiMV1ZIGa5oLeRaJhza9e/J2uxvqjwyQaZTZNpx4Q1G1Xbx2Cp3tNYtLm +yV78PQj0RoKcMVs5NFXWaKHINx4z3AQxNTJhIPtw/ufLo66/s/StyAIo5xil +YMqTFhRJmkRSv2SeCfUz+DaChhIcFg6f3gZ1Y7WyIaG0fZW8Ty80Bc6prTnm +/vrgTOX+ggI4LATgk3R0krI0mIkmC4LB1KK0IMdv6gNTu1LLCb1wcGGL7lp5 +YQm5w1kCVFZQbTDohkgvlE1Tv7EhchhPXaStlUpAlP0Qtk8r5j8feSTXPBxS +Pck6jWJn6EQOxUOLp8r7HQpSb9FgRngjCjrCSH5K8zSgmzGmE3d5Se0oO0sy +SaUzaSA33Xai9+orWtDe61eEWNxAYpGaTtlrzIUmf567sITmIgdiQVVcYB00 +b97yx86g+LsiufNlYzxUVEPFawVfQ+waYR+lM/D1w/WaZypEJCyhxrqzxk4c +//lDpBU4D7dHCgWmbRN6izDnsZ1Ng0ADjdPQGguCGuOusxpfHKVuo0kDQdv5 +NeSm26EYPa7hdpDPoZltz+XssLD5G0IYbrKNhJvx0EaCqvKzc9JILM1XQpaF +Xzw20rj7w4b+IDIVcH5V05vdkcTV+CAdq/udITRfx3kxfp1wuE7lzigDEC+Q +sVh+w2vPVWH86kfetQNTW7Dn23nndaqLyC9UogtQZuEWjohYthUiAUZNmPQC +QlZ0DvpUlutSujIAINvMLGUielONFy/eUy+34TD+N9mEdsuIj4n9/gwdfjAr +i/tMv6yVZaAwtRRnKr652njuHtFZdv3mAAVgk+k9y/vaG+GVQaEPDi7YWfuq +k/PiA495icm407h+1bt3TO/apSaohbvuj/S9ymXipmccfQ9u3VbTYpNAjmYj +r8oMcKWZ6tEPeuQEKUmFisVrAFsMZ4UnKJJOmw27f+SH3EdtDvveuTMotOEd +/pI0c9tVvd8WQnCzbQG8OD8JQd5qZz377LMbl/zmTognC3rfs+KEK1MQBRDY +0aqO+an77ULdKETQpRpwzN3hKgj0j/HOS58wkopl/DNSR/ONw8OSZgzHLeYd +Ngaw0wJ2t8eNpI5oCq1B6rjxBc9wUJzpUJE9LDLDM216WEJQ81QyeRVOlmzZ +JVw36r7tstk/Ezv/Odr5VMyd0U+dyIbh6gpfL+lt50bmyOjLkw6/wIlsPuuq +IFahBl3+sz5oJpAWLLZHxKIO1eGV2cZjg2owwwkYDgd4lGLvBqquGTMISXAj +q74RRTInZ3q0MwKpxzSN2EM1qzoEVB0jQISsUi7j0tdbuprwgmsvHkzy9f7D +bHWrtal6q78jtvpWo+kTwe8koPvknQOwNCu1CU/oF215xeBGecSNINoT3aCS +j8414wArYRtyv6cqOvqeQsFwLXp0EsMFSgwfNv8k//WEy9MmUiAIVlc91Sn5 +FtBE5f/3SJ42Q02wI+jR519B1XJUdi0JTax2h42xsbHTYRhart3LRgCSXLvE +WtDvCQG4zWj5RJSaBcCicsUc7leh4y4SgBEHFpLhX6jDvz4+8FZ8fyXQaNew +tMUidtPx4W2TSHbQ4+F4hf+hOoUKRn1J2+JC4/CgJQwOwTT6gP1O5gJys9g4 +QTMjKy4hgKaTajLgpyK5zySVVEnLwpBwAhgKgO8HfL08aU7fv+Httl2ueVJI +wh0kCWq6pISUFxQQ4MuqMpQM8doKOHAxVXBwYUtJR3wU1XVpra/j/JunsZ5T +RoIKF0TuqZJHEURGn+BCbwL1ebHvmiJXkjsPSS4xlVc48hGcsPTg0AgbfZW2 +Av89mQsX97rmYWXK6b0edSYqg93vMxsdSs+OacOyrmf3M9bF7VZK/khs9AHa +aB8SrPsRRNmGTSkahfa40X0pRx5R4h6z2wV07ZT7Bi6eEo3oLwNkHdssOZ59 +ZzxnFL67z7sbD9T0PquZnHL0YVXSb6nSHQD/K4YzLuvW78jOPNWg3GtmIcVo +j3rlJCRZTdHlO8seNw4OFLpx/2pUu3LjWq5T/LHYZ0L/m0O7XKeo3gd/IrII +h47z4jLCvZg16vYf9H4dzldY26ttp7QSafu83vL4gaYWlHCh8VjsQB+QB1oV +1GiWohsmaTDLhLDu0SlXSH7ZnOnuVtp/pQfQIxs9YFbgywc1cosJwhlPQUPB +MF0Z+I51uM+l+6nZ9rZTg/8itv0eo8cTAV0uEbQKoV9jdLtFZQkgbxW2vJBy +5Gu6dpVg/mKsMB9KoHU4/4VJJG2bTIjuwPsj7suwr7HS58rBqbgcxHLGJXh6 +xgPnF0zOOLEbF5mHuBs3AQwo6URPXpACKQNfNM0YsQA/lAxoHhRvLXBQvBfx +rtuu2fupkIl7SSZSR/mVjUxodt/XGTNgxvsBb2RkBlAmsv6sD1b2mZlUgRlK +yZ1AGSfmV8kgFR0O1z0RYOQLUlF9uNp43EfzaMxAwZ8GzkquKIn7hKZPttWe +WB9QgJHCmMR0jyyoStFJ0h3bnOj/c3NbNabbiqdHk0Xbrqn7uZCG+2zDkAjn +cl2dVUhMrbFZl6mxX0C8SjcAzgO6YUoLgxyVa2o9t5oUIAuK7qlZnEHCgaEU +FIhr9Xz2Ykk4/zT5CCTVZH4lnZPM1wylVPS61SM9HjqejHYTepnTCbKAGs69 +u34WyIAa3qHmIbGv0Kon+M8kB+1Wvv27kIMHjKXYL2DetX2iQQuRFKzkfaOx +DwcCG/AllwCaTpfrUg2cIenGvvuFKZn1Kwr4RwEDqp4c2/qr/gQP1aF7+5tP +I9xDkE9Q8uR4MZOjMnSaMuTOuh4joFqg4LWkotp+FyE4gOH7QxjpKQIvxU8T +6XyriSBtolCaT/gTvMPOitJ+Kbb8sDEEiaBuqLf8TUb9a3gXe6MODlLgD23u +15sykBfuG8d08GYD+dpQPxr3r+E4grKwALqiO9IFYAF63IYDN8PTnWwG9jYO +DTdYEIgCMCdJi2TtzxZT0h+z713NJ6GImtd+U9cfq1Ec0LKRc5K8gO/OyPl9 +vlprx3N0+aTRdfyxXzpach3xcq8QIvIQflvyob+qtekUi5ps1XQHpxEKzDoB +3ETWCUUtIKjya27Sj54tNZLB4YrkoJG1BNEv0hyhcB4eHcE4jrggC4asghbl +PjOSxkoa9mIKBOz4BUR5pVIAsqAQi1j7QRLKzqgGqAybMATNZd3m9sG3b07z +Df+RjEC7dWGieIj2/BH8Nuu2FWUwOAh1yTN88ZbHx4/dOQAazacTUFVMJZSI +6HyAMggSKcbw4t4x5A3U9UGyA0lBRNSIGY7I3jRmBybWPt73Hk9EIErfbdw/ +bLGKFKzCoMT9ZTkgxIeAKivcP1b6NSqJuaUHuG00VPNlQPtqD/AfaNPbrfrC +ja6ITf+qsQWJ0C93x3qh34z/gKMrWPenBDBcsHYbuOZ1TTK7gn0eHvrobFNL +d3SOn4id7Tn08niPK546nlFTiF7Wlhv2NKnE87n944OSh0la+6JO4Q94KrmG +5SSABEfuQGAcuR/SdrZbw4UXGxTbeZS2U+G3Um/D36Gyp8NbsvDb6eEQB106 +hxbuY6WmCs6deL+o9zHvKGoV4z1z83TQI15zx15UkxX1qnbjHsTOvlgr3pDZ +TJvzMtrIBHh20EDxMQOd1SfUV+fd744hOfqhSqqr9gO8i84qsESvKH1PVTgF +OOuJWC1r5Gmpkc8555zGxy7dAnWTK5CDe9JzUHu0d642ETAbCdOCbi77h0Jg +uMbW1sJohNbVm1j19LhV5YmUZtVlh4RTyuUVgwZkz0rLqjfQrbiGmKpiUuvN +cLhZ+On7Zv/aKZoy+zct9u8xWo00DBZ/gz1txFvDMDRNH49im6SqvLY7P6KD +WNV7mOM9hEJrN7smD6me+iVsr2p4W/GcRqyesDcyljntMZnT1qZZqYmakpGs +V2MnDLKqcrhnPjVdMaXTNshacudbpYBpKKN/S9rWVx11qpnHtFVs7JNG2yai +rLO0qd7hQBOwqSVPm1h0MLH1Ylh3ZYeOitVtXvungqxgexJJlR7TXhZiQUSa +inXTnzyQXM0sa63CUaFhak6Unv1UlxipsaJjRFgz48dIc+7MPekT8VJaPtHf +0FK3XfCEe3m22Fcqg0tHSnlf49N0orB40pRD2w2mzx6YRIKHvNnSMga/FoMw +VUXo3gr2f0VXV7jmOaOWi6sapbQn+9GZAKudepvDm7A/bDFlAKwipJe+PFLQ +DGxlgW2JCnfc6i0ekDMjS5xa8Iv+2ujhtquZ8IqSmpeagrFQbS/LDRxJ2Ek4 +nhQ05Eecl0Edw58QH2FzwJQhsvgYm0iLo2DQKLvGS1+JtYVOadnIcMUMZMSV +IheJlGF8Gcucl5UnnPWo6iEP4JExYpCObqoyRjW1EPJlEC5B1jyrJaDiVLND +jItcQds9o97LbbhQf2m2vu3qJtzu14itv5LPSGBS2UGW7D5Yhzl1lqiXArX1 +qvi3x7wW7hYnPlLI+BzkRXara5CgoFWAD+alvPoN8z7WwBnIs01wSPX0p022 +5Lu3TyGOmhOsV2AGVFIVx21/YbJGcuHT9ielth/yIB/R9nZ7RhgkIaBqJiDg +Yohj7dtCjAIDTiE7UN1tTxqonmvdJfsLIw9tFzvh5d4o5IHpe6YD8g7wOX7T +df5ZPncgEF900HJ94vcaSoa4uHxeXqNI1/iEvAbLSCoEyzISJ6U6iL3lmGp5 ++eioViLYR3V0lELyM9H6YMIFwVbJqgFgm66xJbSVaq4ju/JEjGNld2O5ZgtO +xqMQis3tioBKVVkNDENf/rCmUcHYbBjkJ+PhsNtiMPRkRoomrt+f4z21XSKF +OyhJZUl+SifFPkOCbhdvLyygarNVMjQv9z9MkSGSr/xe57XjfBsZ1I75PYGo +yuG3gregWUW6btc7HYY5l+MEVNdUIIuB2ueZW8xQhEj7FAxim22s3kpWiZnB +Mw0zrkiOhwGcluq6w6XGkzGH5YCMDtH/zHt0SjbFUqmCe1Wag2KV85fmIElx +zSDwDmHd/SMzhl/HcE9ceuFUortJ1dLtl2GhOEhu2CvoQnOOMPUZYcCYUL22 +5rwG36+If7Pmteya+DvABfLxy62ryxH1fOLgF/zsvbR1oLdQkuDrLCNNGnoA +WwZg8IDQU2oOzPUf2I56CsuGJwUiDFGPThAdQUVmqIFAuGSK8LkvYd92krk7 +Jc1dn0H0u3RdHghNM+4cLAsreQp5u7Q0qUL+SEPR2JZLtxOK3+Vp1QiYbyKf +z0svN/gT/NCdVXuhCElmVxKnrNRNs3rrsyuBrW6oCgj519XToA8wMUC5/+yi +eA2+fxUJSipmTBwH4QILEaijYCe9FegvG0f+Gs5kQ7Xz7F0i0XvLTJ/EkaGF +UEPBN2zCUiSleyCIUrAW2LSXHhnl5kE0aq54EDOixIpdbn5mpna5+QF6rEty +G1nSi13/4ARBiBPj+x2VCub0fc094G8bqWiW0Tuwz5fRu0RIBVFjZkfEXj5v +tlhu/4qWChwToJ5eUFIRZKfF07CTNMjHizrrXhGuLLIo1nnuQJyfKbJD0cYe +q3WJihKlHcDdeXEZmYRWakNCfciuQviFLvEaBOGaUy4ySz0tmqUuIxo+npqc +zvsJpiTSGlWnDHj1JiTAZq2hyv/vvmqLnt0wZJq+yCE+sVhNc4i/iZ9X5/3m +WiwJwytdFpeMucA2FSwZ0kWBDaIe2lAZFvRwXk37D5bQN3EE8RISHU1ujlEQ +WRy7qWR2Zz46zDCTMtr/AmsF2Uv4+I2bRiWgLbNLRz6xuVfMz7EziIhFPYF1 +4k/EyoTWpL0oGnuRTmeqCoCUR6zKxAE9w0KyIdEEhHDll5BD3a75B7wLDEvk +hFSNDCRCmcuBsBxPkRC0WwkmgmJLCHRRDx9JPvDSloBqoqobRGvU0/DUBbSW +PqD7BEsg7Tj93v59glOcjIpnDgj2b0eyEHp0gTrqExIdl7hZJByK2kY2oBO3 +4AhNDW7BQuRNU2BzJBRm6apeb1kR1q8FInRQMwQ8D9f63NEFaq44Zi+KDhK6 +8LZkJHSFpKLdujCUBMk0ylIhfYZZIxXy6T1GKk6Lp0FGaTaRdwCHRsmV7pUS +QRO5PAM4ru2FqOCYqxiOXL95E8hBUWS6BKBOpiKvzQFN6H0lTn/T6a9w0SMK +S41lIwoZl5axeZFol6edrFcTThUYL9Ew6WVbA8ESY3wIoIMoG0kw+Omec/JJ ++CmlnjorGcMr/mFcGqQy2GWkYVk8PRf9IxVrORwgGVQ7Wk7F1qMvRQZ/Pv16 +nI3o/sHGLx6PjP41wug/VD9T1iM7yPsICwAYDJ3gfO8O1XZOWZRwurESqylc +RZeA/vHRLrU0qkSi7XpAFAvEgGYWE2DZM5+axsYwTQ8jhoASPUyhNQdyGj74 +N/y733pJ2HXpu7/N7P5SYBsOdCAzaKLCYiC+OAyRMQWoLgLnEtF1hfiyiclb +FERvfS3lw5Y/fkYO9MIWDzimiBcx/RLpfVWIymlw1AqAykeCsAo4K32cbY3l +Ab3xWUf/p9WHDiaVjw1I5geZCcuZlIk9cvPFu+sZg3y15BlSFUhnFWGSFZO3 +/JTYq2mz5dJXWAh0zKAEBKRxr95wrB6SlgF5Y6hqIZZAXZdQOTmXNAkCLjs4 +ONjYNtmFUHkRtnuGtxsQK0CkEJW6fQqfpa7kQoyrDLY/emU/ugb0IUjL80F3 +Kj6DVBzTLhjL6m0eYFZxJzmGz24XZl6RO+Ta8Puobquz+i9JUMlbLD25hC3W +pzrIS8MP2wyHH5SmKvsISHPAdiv0k5tM6esiWvEk9BsUgNp2q+sE0e8oNsBt +nxD+oAstIfHQODt+oO/FJM3df/X5ad7z0umf3NG8m3+CN1nNqnru1vFgQEdy +Tupru6nq70YOBy4hasVtowLMtorAtNcmeSE9mnp3kGinuQ1MbnWAHy8D+5c1 +6kWbReKRT4eYyW5nXXi5DDs36o/qyvA06ecQDvPJ972DwGwGxK9LaLefcZLU +TOzfq8GY0M1ERkZ2i5moTQfuvW8cb5x/7tmNTCajsBELonsQP0SqJ5Wejrwr +vkNasINUv5ohOplUWlHHixOQ8hSqAfGpQC5BNp5ZAJ/vhzD5WG0wJdzC5l+i +Nw6vaxyL+UtLp+4cRfUJG7PJlMVH6u7eER3VdOsNKniyPTOGCcnv7EQbtVIo +FLSzc8hsUGclW/fGN8j1aniDToint+kN6pKoukLL5nljVlie9McVw6t9IOpe +sUkx3vw1BLKjTarySXrhPlNAG4VBA6Zq0/ZnWUH3NZb71pVbMy0r1VUt1pGF +TVThOmIq1U2BDibdHqxNmKxuS27J/fjunZVdSbZC3hwJTi6ZzZH526LeHAuz +hN8WYyETMUsnAkXMS+GTFVh/2f+iCc0OjdUMPhWC63ECSM7wU9D6z8l4YkIW +jatk6LOfHaf06KhEk1WOAQxN3Sw+KbCluZ5Uj4EIPzusjpKsgLz8anI2/ANT +40GSwbhRIiBbFE+D2uN5iElDijFfwMsf45x5/p4BiKwMPAiR/r5371SRPta7 +Vnj5OWmwiv4bLX9xdnZ29cqLd2KIhgx+FZEz1KPu7x3Bxa96rMewsfKtATLU +j72BOibJxHe5EUuZ38MzxuGVzAyDKuL2fuXJw//uBMDjSWgdI3PgQqCbKJG5 +PoPM2QUrkW2fktWNDkC/6+PvO0vlKKdPLE5L/Bz7svu1wTAz3ocNcGpsBRSA +9stWyiaoCKzaF81udFZatCJ2g7O3MqA9we+jMrTyqIBooEKmLdE+wDr/zWV0 +MFLRsl1GAGLIGO4IBL9fd4LfyC3eLGlaZZtmFBqtmlAoi/pJhK5DOqGRFX3u +iEldfUaAzUwjjomAxHr0PbW7YNLLMuIjvRkfYnHAbExnNT7fim1M2T0msOCq +TkNmnthiLQbii5WXdAMgbi3tClRyLb1IlDcqzqASBTE9vFHPfTlSUBdxocUd +U/gswlgZxqtUtTdOhFjCqGa+8eQw05sdVbZEQc0Qg1b1hhV5wySOhCV7457q +zC7exGRbDqszCz8RUVBnhTSSZo4LsfYoMQ7MTki0QD2n6yLMCQoX5O+VzN/q +L9opL7bk40BRMBj+NEmrbHGgLF5ClNcl3kHAIW//ELnIYIZefKgeIBC1mX1o +WeqpSrtpd33UFvnTwj2IMZBUDbGA3VIeaUqsxp127BW0P5CDHfkJtzb3EyiS +bFrW4vcTJK0c11xqu4GXpe1ZktvINSWy3sm7jewypI4S5WBWk9nD1xTdkJe4 +usB5hGjLpAONYeqUqIQSdZhk7cJVeLQ3rniJhJAUjCQ4w8wUk14+ltK8FQxf +iE0Km+HdWz/U3NHYj59kA46G5IWjhs8CrBwcANDOR1lc4A2n4dV+WgBVB4+W +sYSP4bLcvffztTyYz1GF+ZTN7i2p3Zuh3Yuzj0QqVGWBHr9xk6mUPziOmnXM +E78qeChLW7gQ30Ib6ldpXehmUWPEC3oPBxxbyNVqDw2fifuVM/0M79zZzCO5 +xWxbZ6Ue3xfbRjQfBfiFRHyGi5mxiZAvGpyBz5XnApu5GVbTcidA10U6rwov +1PxYDjUBe4PPEbnCWU8PUKhXuOYYL+iQ3sqH4fQSexMXFBszo93AjxjLf/wx +vmNnFRKSLI2I9dIBlaxnQbeY82PRI1/0+rMJpb5jCqoBFNiShQyGBFryiaom +O99YHsbyWf6nFlK23iACVvezj2xSpj7SKSduikz9OxJN/adpFTsqMZBUZC8b +DZCIeLCMwErDa0hFttVoAFB1sNONK97SjRpgBFav1wkDORdUTDvlZuWwW4Fr +mikCBBAR6zEO1jAuH5MgoiD1oBl50qxekGxWb6RV7CglL5m9iPS1lIRb4Mqr +ldtGK2fV+Sr8om7qq+zI7YX7xkvNTi+vXKFhUD1lxYp6xRSqJ5ku6o4pm39T +KdGU0VCKDeSu18SyrRvBUngDGRoqSdK3yUsW57k9MABQwbFaXiQXr33fWVZ8 +VUo8r6E8r4Gaxgi1gyqKyup1U9MYpdZTTckgafvfE5mSsxNNyXX+ZWs96fsz +sWy/oE8PF9vL51S5zrDuGiPYTssWpwj4GrauHqtlHDvBZeVdLZ5RVYNr8LEJ +uK6CxuyMaXREqyxna18a1FYiIebkoUidZUslk9J/4bfpkbtzIi3u1DERTlhl +Dct1JtpJpLbQ61T2AlmjIxLIUhoMTmtP62aApo11lnGU7EP/Q8uUGjfzMnnj +5hG/yy7qRcPjjWMedgixTEVTheWBmAY9c1hKbah6GvrXWR4PHyQTj3iiOYsn +m0ovY+cQr9vTn2Fdf9ErwVnOw9NsKvc0noxRKS1BF7ZaN1WukgD/2DBDtg1d +/2F8sw1k1/Ch4K5b1hzJxJDxTHMkY5SX/T4wbd82+JkQaP+8oTVaM/xHtVzO +0vSaSr+Cq7q0jp/dlkvS8R8yy9VZrgsfetzlypuj6c77gWONR/NMczRj8Viv +qsqzIS2CJNPMIq1UxY9qINgxIRT6PZdVccDEyFBVKvS5gBU6dVp1lmfCB8mo +QnAELUxqREXOvkOKeEVPdwpIVKWFSbF+tDA+tKBoQDxS36vX9znq+2ShUNDq +m1ycDtM/+CApSfCBBhImhkV4us4wp8sQBo5nG6u3VBk/i2nyAVqVFO+TVqXq +UUZYRTUmdPWB3+2Wuhp2xtLVl5uT1ApeAsvmUTzT7tL0mJOUGOucYU7SqhKY ++T2lxqkHBoO8X1kPqJN0LP0k9fNJEjrHaJzWNPKcWRipkY/uazVHgg9nugtD +qF/6WBHuHYLvQbOhGPYbObJJ5j6CrSJP1WjJYpo6OnaDLZ6yfo/6iSLlmuN6 +e9QyQJfwyd5v1qyz9AU+7HTXrN8+Z26uFNeHzmKowj+QU1ZjJYulbddMtnHy +rgFXRYPj09Khw0XKeGLhAY/HzYcupqAJye0seYAPktVBaGx0kGDVSauRg6Rb +0oJA1QiEsDsNFrmAXMU8SL2OXXbs2EHzix6uo3QNtnjwUFPnPYFvJV1TB8LR +psqEDgF4fJDMB/hAHzo9NGFEcJaXBoST/86EK5VKhajColOXg3Vp1YKhE1Ty +BLblNnT1e/DCG8C28eGN7uJQR5M3INHdS1nP4tDf2ZRbe87No/7Gxelt8Uyh +g9PtD2Rz6SobXDCtsn/brE8rIPJ8LPLHh7e460OlK77go2AFH9HXXl47tG/0 +d3YwAvZt/TGc6PhUrSv5UM3J9cGC+F5P9JppXTXTmMoYFLyyrwUoGB9kwzY+ +UGawlBRbLMilGLfPEcUYkRe08kmsYX6qVqSlmPf0Ix6V5wiJdZSq/eYfjaF+ +2XPeUKKqpeFsnYG3+CA7i4WvE8ogQSFpaHXUF9+zTZD0hiIeD7znfPrxWFf3 +nDPgRcnVn3jVvr6+k9lsFhTobrNVOR/UqhSoL/4W9ygbZ/FhM/5cUOljbwAw +QW9rBQD7P9CN8l6CG87QDZ9oZkQQmOhrQzEiPQ0d/G0scu0hpfjwAfemOX2R +6t8Lyd4vJfv4Yh/o9sgvC/c3nm4a3rSs495qbrUzdBMfPujeKgEn6XwsQqAN +Hwv760W61W2Np83k6Ziqf3g46GldY1GRfGewJD7IRj58YNKZVN+7bvbTrt2O +LH6ebnLVs5+krx8e5p00riD2MaS4gsR52BmqiA+yQU24z+neMikcNF+wnnYV +9Dh6yABfPZXg2ixBOZO621yyZoK7Va4daibyPTaADMqGLHw4xwjuJR7BvcQ4 +uCVN2M1fNg9DJMinjwxzLOUVZKoaflilIlpXTzRApGkip0koeaN760xD4XNq +F5VTO0Af3bp1up28zTpQzYCIr0U3T3VVXVqipVYSjXaWVnqNfYet4HEerXSz +e4fnmc1NJH6t0h2e5gXEn7iwEqT8+Xq9DtdaPnMsVOWvsO9/8Oayq3xAfyvl +Q903XgitNeUj+1Hw4Xx+82YQdsXcz4q6H+7GA+FeOPfcc6fNPeoiWEupcN38 +BrAu2ayBD7uNsDUrPvJ99JO8QPjTq420bABzutf9iK810pI4rb3c4kfcZT7i +BtCfQ+5HfL0tBG6Xp3aleOiMVcbl+5hnmY+5AcDlEfdjkpqOOT6npeOTS/6I +z7ORwp8I5dsA1vEN99O9yd5nr68SJn+6U+oO4IvLGzeANay4H4/Y4r2jI+Dj +oj3jRVCYg/WRamZPNxDlf8v9WOQ4egsAdK0ZfGU9H6lqPlKa0ylPg0e9/6n7 +kfaYjUzkUeKPA3etCbcI69OeoZT61mLZ77ifhDrGyq4pfV6a0uhLfQratg0E +ld9zP8DFtMJJ4yjX+Y03ENJ9331LasDKSoMEb0njLvJJImb+/u/dC1KkHMIi +enb/n9xfdx52/fr1X7/+f/k6oakYzoKnvhCIaYPmt37k/hk581lgM1X1vnBp +zJCGVPdLWBt/sdWZDTiYxJ/oEdxoKO+Ytt/hhwlv6bLQlMSlFuRbqi478ftR +7IrPgbOviXrNO/zdRt+S7G1pt/h9+LcUGIoU+HsIGlQrg6ZxtN/5B219lFV8 +tBacC0RXxe8vBpa/LC91oLOFIIuYk/e7xvfJO464uHrttLrX9u+T3im7XzwN +K8/dhsvi6b3BBq6/6jzN15c9pvuDDVzf7Url68vOsNWgk+uTCFk0bacC3Qwr +2XfWgg1c3+32LMbfdj3YwPWlJEGTjzlpHV9yVjy9oi4Zp6cyl5OD0Nu8/qq+ +vs0f/Stb71/BekhZECLiSk7H15ctvqqb0bOzHR8hl3eKj9CceHo5SL0+Bd66 +Cxaf446k2UB8UUdSrPu/4H/6V/eGkkAA7papc2DjpNQ6JjrhXbHjHa4IOgzk +M5v4xmgV5Dtg/oObQSUxiKr4ooeYsSAEIieb+dQechFDaU48v84LqKwg3Bd2 +qbOFVV2azrskHVNpImb1O4bS4kmOdy3r/G7z/ndLElJ5muDdBsy7LfK9SXIO +7S2YCz3nPsHoCCwB7BfePtVjFsBLg30Ed+k4/6+XzlwhFpM4D//vnNDOXg9e +8b9E3Sxe\ +\>", "ImageResolution" -> \ +192.],ExpressionUUID->"f44e0dcc-542c-4e96-87a3-d362c65ece8e"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"BooleanConvert", "[", + RowBox[{"Not", "[", + RowBox[{"x", "\[Xor]", "w"}], "]"}], "]"}]], "Input", + CellChangeTimes->{{3.8859191649578133`*^9, 3.885919228924201*^9}, { + 3.885919291178878*^9, 3.885919293155244*^9}}, + CellLabel-> + "In[133]:=",ExpressionUUID->"39a8e9b5-b318-4aa4-bac6-f8e4e5fb8aef"], + +Cell[BoxData[ + RowBox[{ + RowBox[{"(", + RowBox[{"w", "&&", "x"}], ")"}], "||", + RowBox[{"(", + RowBox[{ + RowBox[{"!", "w"}], "&&", + RowBox[{"!", "x"}]}], ")"}]}]], "Output", + CellChangeTimes->{3.885919253976461*^9, 3.8859192937848053`*^9}, + CellLabel-> + "Out[133]=",ExpressionUUID->"1202cf4b-ff24-4233-a912-448966ad84e9"] +}, Open ]] +}, Open ]] +}, +WindowSize->{1440., 782.25}, +WindowMargins->{{1440, Automatic}, {0, Automatic}}, +Magnification:>1.25 Inherited, +FrontEndVersion->"13.2 for Linux x86 (64-bit) (December 7, 2022)", +StyleDefinitions->"Default.nb", +ExpressionUUID->"c1d04877-f45b-45b5-b46c-c449ad99a229" +] +(* End of Notebook Content *) + +(* Internal cache information *) +(*CellTagsOutline +CellTagsIndex->{} +*) +(*CellTagsIndex +CellTagsIndex->{} +*) +(*NotebookFileOutline +Notebook[{ +Cell[CellGroupData[{ +Cell[580, 22, 154, 3, 66, "Subtitle",ExpressionUUID->"6402b04a-19bd-4021-9c52-37b154c34328"], +Cell[737, 27, 702, 18, 63, "Input",ExpressionUUID->"392d9d8c-4ed6-403b-a72e-56ad2165649f"], +Cell[1442, 47, 1728, 45, 204, "Input",ExpressionUUID->"50f9054f-69c9-445f-bb24-18ab91ca4aef"], +Cell[CellGroupData[{ +Cell[3195, 96, 260, 5, 36, "Input",ExpressionUUID->"fea9358a-ef71-4988-9594-e7b4721e92f4"], +Cell[3458, 103, 960, 31, 58, "Output",ExpressionUUID->"356f1b4d-b651-49cf-9ed4-21d7c8f9962f"] +}, Open ]], +Cell[CellGroupData[{ +Cell[4455, 139, 312, 6, 36, "Input",ExpressionUUID->"989e6805-1860-4c06-aa38-f6b8d9f8f50a"], +Cell[4770, 147, 3587, 104, 143, "Output",ExpressionUUID->"84e55cd2-7fb8-4d30-a459-ba68ed807168"] +}, Open ]], +Cell[CellGroupData[{ +Cell[8394, 256, 2238, 57, 115, "Input",ExpressionUUID->"52ecf671-a984-4786-bed3-0c076bbbc653"], +Cell[10635, 315, 2528, 49, 282, "Output",ExpressionUUID->"910b212c-3895-4695-b276-b6937eb4bc4b"] +}, Open ]], +Cell[CellGroupData[{ +Cell[13200, 369, 485, 12, 36, "Input",ExpressionUUID->"39ff6217-f46f-4fda-b78d-68bab713fd0e"], +Cell[13688, 383, 226589, 3710, 332, 63417, 1034, "CachedBoxData", "BoxData", "Output",ExpressionUUID->"5076ae89-7d1c-4a63-9b17-8c8aa5ae488f"] +}, Open ]], +Cell[CellGroupData[{ +Cell[240314, 4098, 411, 10, 36, "Input",ExpressionUUID->"bc6b81f0-b84d-4a38-b226-c101d4ff2e25"], +Cell[240728, 4110, 145035, 2374, 390, "Output",ExpressionUUID->"deebabc3-7d84-4249-b813-68c8f35c3d13"] +}, Open ]] +}, Open ]], +Cell[CellGroupData[{ +Cell[385812, 6490, 153, 3, 66, "Subtitle",ExpressionUUID->"da6b773c-484f-440e-88f4-c4f0ae557d5b"], +Cell[385968, 6495, 527, 15, 63, "Input",ExpressionUUID->"99930600-e08a-4809-98a0-894502dd3459"], +Cell[386498, 6512, 1387, 40, 204, "Input",ExpressionUUID->"1e56ac08-665b-4919-bb4b-9f9d0096edcc"], +Cell[CellGroupData[{ +Cell[387910, 6556, 239, 6, 36, "Input",ExpressionUUID->"92db0e76-58ae-42de-a76d-6aa262bbc7f0"], +Cell[388152, 6564, 962, 32, 58, "Output",ExpressionUUID->"1fe54f60-58b6-4d1e-b0c3-0c1e2f919109"] +}, Open ]], +Cell[CellGroupData[{ +Cell[389151, 6601, 244, 6, 36, "Input",ExpressionUUID->"314aeded-6b2c-4e9e-b2cb-d29800b478d1"], +Cell[389398, 6609, 3331, 98, 143, "Output",ExpressionUUID->"594d08b3-c239-4367-8fef-7815eeda666e"] +}, Open ]], +Cell[CellGroupData[{ +Cell[392766, 6712, 1758, 51, 115, "Input",ExpressionUUID->"908d5a7f-7fa9-4362-b9fd-c2e6bd74ddbd"], +Cell[394527, 6765, 2043, 43, 282, "Output",ExpressionUUID->"05dd4fef-df14-45fe-9c29-f2e753ff2fcd"] +}, Open ]], +Cell[CellGroupData[{ +Cell[396607, 6813, 390, 11, 36, "Input",ExpressionUUID->"a315d35f-d4ac-4912-b912-bd911db7500c"], +Cell[397000, 6826, 63478, 1037, 255, "Output",ExpressionUUID->"41c51fb9-6304-435d-9db4-60e17ddb5833"] +}, Open ]], +Cell[CellGroupData[{ +Cell[460515, 7868, 392, 11, 36, "Input",ExpressionUUID->"a9662344-4fe7-40d5-9f48-de8185e6e569"], +Cell[460910, 7881, 360187, 5905, 342, 147489, 2415, "CachedBoxData", "BoxData", "Output",ExpressionUUID->"f44e0dcc-542c-4e96-87a3-d362c65ece8e"] +}, Open ]], +Cell[CellGroupData[{ +Cell[821134, 13791, 326, 7, 36, "Input",ExpressionUUID->"39a8e9b5-b318-4aa4-bac6-f8e4e5fb8aef"], +Cell[821463, 13800, 336, 10, 41, "Output",ExpressionUUID->"1202cf4b-ff24-4233-a912-448966ad84e9"] +}, Open ]] +}, Open ]] +} +] +*) + From ccb3fd77e7cdd4c3abf7652ac1a6208914ff3fdb Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Mon, 6 Mar 2023 10:29:31 +0000 Subject: [PATCH 043/128] Update README.md update status icon --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index d76f20c..7606f15 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # differentiable-boolean-logic-networks -[![Python package](https://github.com/github/neural-logic/actions/workflows/python.yaml/badge.svg)](https://github.com/github/neural-logic/actions/workflows/python.yaml) +[![Python package](https://github.com/Z80coder/discrete-differentiable-networks/actions/workflows/python.yaml/badge.svg)](https://github.com/Z80coder/discrete-differentiable-networks/actions/workflows/python.yaml) [![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://z80coder-legendary-space-cod-65vqgjqqxjq2xv44.github.dev/) From e99bd4bc5ee1b219b0eb518ce61358a02d367f2a Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Mon, 6 Mar 2023 10:57:32 +0000 Subject: [PATCH 044/128] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 7606f15..1fa4f0a 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -# differentiable-boolean-logic-networks +# discrete-differentiable-networks [![Python package](https://github.com/Z80coder/discrete-differentiable-networks/actions/workflows/python.yaml/badge.svg)](https://github.com/Z80coder/discrete-differentiable-networks/actions/workflows/python.yaml) From bac332ba184bd574f5f796081a74ab30adfac59b Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Mon, 6 Mar 2023 11:41:54 +0000 Subject: [PATCH 045/128] Update README.md Update video links --- README.md | 43 +++++++++++++++++-------------------------- 1 file changed, 17 insertions(+), 26 deletions(-) diff --git a/README.md b/README.md index 1fa4f0a..e6e1c46 100644 --- a/README.md +++ b/README.md @@ -2,44 +2,35 @@ [![Python package](https://github.com/Z80coder/discrete-differentiable-networks/actions/workflows/python.yaml/badge.svg)](https://github.com/Z80coder/discrete-differentiable-networks/actions/workflows/python.yaml) -[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://z80coder-legendary-space-cod-65vqgjqqxjq2xv44.github.dev/) - A Boolean Logic Network library for learning boolean functions on GPUs with gradient descent. The working prototype is implemented in Wolfram. The production library is implemented in Python. Questions? Ask @Z80coder -

- -

- ## Demos Neural logic nets -https://user-images.githubusercontent.com/55286208/205712875-54d4cdfe-5199-4429-a438-3b797e4c4456.mp4 - - -- [Neural logic nets for differentiable QL](https://drive.google.com/file/d/195r9Y08Q61V80f2Hqw62YuHpYsCzJCmZ/view?usp=sharing) (30m) -- [Boolean logic nets and MNIST](https://drive.google.com/file/d/1dWAQfFWcOm1ORqfh62H66nigGy2wQ17G/view?usp=share_link) (18m) +- [Neural logic nets]() (15m) ## Development videos -- [The Soft-NOT operator](https://drive.google.com/file/d/1C9egUO9SWSXba7VEqqUPfECYXeLFf5g0/view?usp=sharing) (10m) -- [The Soft-AND operator](https://drive.google.com/file/d/133U60sUh4qzjrieZyMfEzULsZJF27lov/view?usp=sharing) (10m) -- [The differentiable Hard-AND operator](https://drive.google.com/file/d/1cdfMkO0xg-IUYK3avHqfarLJRXGtWcRf/view?usp=sharing) (17m) -- [The differentiable Hard-OR operator](https://drive.google.com/file/d/1v1WMfOWx4PQbjyoPJo82QNh2DGBhM4uH/view?usp=sharing) (5m) -- [The differentiable Hard-MAJORITY operator](https://drive.google.com/file/d/1qVTAFAVZ3Qlk_mYh2wd83uME89RsBzri/view?usp=sharing) (13m) -- [The hardening layer](https://drive.google.com/file/d/1ZEd34UMyFY52_0U2-j58hKJ5uvJBYREn/view?usp=sharing) (11m) -- [The hardening operation](https://drive.google.com/file/d/1M11ovLCbqAfjplFioKpMmX1hOvpwSHXv/view?usp=sharing) (19m) -- [A classifier architecture](https://drive.google.com/file/d/1sQHyo4OjapEj3a0JLhnSYEsLMBMUZMT8/view?usp=sharing) (20m) -- [Neural logic nets](https://drive.google.com/file/d/1P25OxM7Af8ppUGOUhKd6psGHI0OVXIzw/view?usp=sharing) (15m) -- [Learning XOR (parity)](https://drive.google.com/file/d/1kBxJCkuEzbisWhUGJZ42o-m6xYOZ56pB/view?usp=sharing) (10m) -- [Numerical regression](https://drive.google.com/file/d/1k2wQIjTN0omKuaFYQHrusMRIdDxPlSAf/view?usp=sharing) (23m) -- [If-Then-Else neuron](https://drive.google.com/file/d/1qelfWX6s2XhlHxFwUSV76tAS2tyDK3Q0/view?usp=sharing) (23m) -- [Neural conditions and actions](https://drive.google.com/file/d/1nrn_4TlNCmdC1ZAlN9pKIOF2hEjtykuo/view?usp=sharing) (24m) -- [Neural decision lists](https://drive.google.com/file/d/16F_2kpBaZO-qPQLX38Sar9pJfuunsVyO/view?usp=sharing) (15m) -- [Boolean logic nets and MNIST](https://drive.google.com/file/d/1dWAQfFWcOm1ORqfh62H66nigGy2wQ17G/view?usp=share_link) (18m) +- [The Soft-NOT operator](https://drive.google.com/file/d/1_IECuI0f58o_aIIdaQhRo6qPH517YaMa/view?usp=share_link) (10m) +- [The Soft-AND operator](https://drive.google.com/file/d/1l9Y2cWJYYdYSsgqwfH-Dfo2Nxmiewia-/view?usp=share_link) (10m) +- [The differentiable Hard-AND operator](https://drive.google.com/file/d/1Bg1KjKF8KZaBP6jYFhQ5oARrcZYx2O8S/view?usp=share_link) (17m) +- [The differentiable Hard-OR operator](https://drive.google.com/file/d/1WUmJHToU0hQo0YgHlhJb12qECDKzmE8f/view?usp=share_link) (5m) +- [The differentiable Hard-MAJORITY operator](https://drive.google.com/file/d/18oQWhNvbkJGZ49OcQEqGAxkskGZV0e09/view?usp=share_link) (13m) +- [The hardening layer](https://drive.google.com/file/d/1c5K77n9dftsyciq32T7SBBa0PBhIgEq7/view?usp=share_link) (11m) +- [The hardening operation](https://drive.google.com/file/d/1JWA9P9BbfEHWiDfNKVjaH_ssP6CA19Nf/view?usp=share_link) (19m) +- [A classifier architecture](https://drive.google.com/file/d/1KZp8-7hbc_5tHESgmcyBDdBbZDu9UEO9/view?usp=share_link) (20m) +- [Neural logic nets]() (15m) +- [Learning XOR (parity)](https://drive.google.com/file/d/1I2H3iQjM7tNrG83DJFFngQZB_T8jM6uw/view?usp=share_link) (10m) +- [Numerical regression](https://drive.google.com/file/d/1Qx9hBR2nZVymJr3Yoi1CGdg9y8VBxn8P/view?usp=share_link) (23m) +- [If-Then-Else neuron](https://drive.google.com/file/d/1siMqbLr9VYCOwBqNUAnQse9IQSGUjlqo/view?usp=share_link) (23m) +- [Neural conditions and actions](https://drive.google.com/file/d/1WH319bwV55858TYQ9G3C4RPxzdTiA0Ru/view?usp=share_link) (24m) +- [Neural decision lists](https://drive.google.com/file/d/1H0tJtiHz3yXZ7E2xeauaNRd4rnBTUf2v/view?usp=share_link) (15m) +- [Boolean logic nets and MNIST](https://drive.google.com/file/d/12Rwx8H76UTNRdBK4WAwe_QeTWiGrbP-_/view?usp=share_link) (18m) +- [Neural logic nets for differentiable QL](https://drive.google.com/file/d/15rAagCh7LxEN0CHVNkTY6iPWSxrAG0pW/view?usp=share_link) (30m) More to come! From caeb1c3da215c2d9ea2f4bc67a0945331a4d99d1 Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Mon, 6 Mar 2023 11:43:40 +0000 Subject: [PATCH 046/128] Update README.md --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index e6e1c46..a60189e 100644 --- a/README.md +++ b/README.md @@ -12,11 +12,11 @@ Questions? Ask @Z80coder Neural logic nets -- [Neural logic nets]() (15m) +- [Neural logic nets](https://drive.google.com/file/d/1_IECuI0f58o_aIIdaQhRo6qPH517YaMa/view?usp=share_link) (15m) ## Development videos -- [The Soft-NOT operator](https://drive.google.com/file/d/1_IECuI0f58o_aIIdaQhRo6qPH517YaMa/view?usp=share_link) (10m) +- [The Soft-NOT operator](https://drive.google.com/file/d/1z2WFpz4eWLb9xauRnIl6mSXhkbU-XR6X/view?usp=share_link) (10m) - [The Soft-AND operator](https://drive.google.com/file/d/1l9Y2cWJYYdYSsgqwfH-Dfo2Nxmiewia-/view?usp=share_link) (10m) - [The differentiable Hard-AND operator](https://drive.google.com/file/d/1Bg1KjKF8KZaBP6jYFhQ5oARrcZYx2O8S/view?usp=share_link) (17m) - [The differentiable Hard-OR operator](https://drive.google.com/file/d/1WUmJHToU0hQo0YgHlhJb12qECDKzmE8f/view?usp=share_link) (5m) @@ -24,7 +24,7 @@ Neural logic nets - [The hardening layer](https://drive.google.com/file/d/1c5K77n9dftsyciq32T7SBBa0PBhIgEq7/view?usp=share_link) (11m) - [The hardening operation](https://drive.google.com/file/d/1JWA9P9BbfEHWiDfNKVjaH_ssP6CA19Nf/view?usp=share_link) (19m) - [A classifier architecture](https://drive.google.com/file/d/1KZp8-7hbc_5tHESgmcyBDdBbZDu9UEO9/view?usp=share_link) (20m) -- [Neural logic nets]() (15m) +- [Neural logic nets](https://drive.google.com/file/d/1_IECuI0f58o_aIIdaQhRo6qPH517YaMa/view?usp=share_link) (15m) - [Learning XOR (parity)](https://drive.google.com/file/d/1I2H3iQjM7tNrG83DJFFngQZB_T8jM6uw/view?usp=share_link) (10m) - [Numerical regression](https://drive.google.com/file/d/1Qx9hBR2nZVymJr3Yoi1CGdg9y8VBxn8P/view?usp=share_link) (23m) - [If-Then-Else neuron](https://drive.google.com/file/d/1siMqbLr9VYCOwBqNUAnQse9IQSGUjlqo/view?usp=share_link) (23m) From 2bdb02f07826075e6222bbe6fa1f0d26d8fbef20 Mon Sep 17 00:00:00 2001 From: Ian Wright Date: Mon, 6 Mar 2023 15:44:57 +0000 Subject: [PATCH 047/128] embryo paper --- docs/db.tex | 200 ++++++++++++++ docs/iclr2021_conference.sty | 246 +++++++++++++++++ docs/math_commands.tex | 508 +++++++++++++++++++++++++++++++++++ 3 files changed, 954 insertions(+) create mode 100644 docs/db.tex create mode 100644 docs/iclr2021_conference.sty create mode 100644 docs/math_commands.tex diff --git a/docs/db.tex b/docs/db.tex new file mode 100644 index 0000000..bc97fd3 --- /dev/null +++ b/docs/db.tex @@ -0,0 +1,200 @@ + +\documentclass{article} % For LaTeX2e +\usepackage{iclr2021_conference,times} + +% Optional math commands from https://github.com/goodfeli/dlbook_notation. +\input{math_commands.tex} + +\usepackage{hyperref} +\usepackage{url} + +\title{Learning boolean functions with $\partial\mathbb{B}$ nets} + +% Authors must not appear in the submitted version. They should be hidden +% as long as the \iclrfinalcopy macro remains commented out below. +% Non-anonymous submissions will be rejected without review. + +\author{Ian Wright \thanks{GitHub, z80coder@github.com} +} + +% The \author macro works with any number of authors. There are two commands +% used to separate the names and addresses of multiple authors: \And and \AND. +% +% Using \And between authors leaves it to \LaTeX{} to determine where to break +% the lines. Using \AND forces a linebreak at that point. So, if \LaTeX{} +% puts 3 of 4 authors names on the first line, and the last on the second +% line, try using \AND instead of \And before the third author name. + +\newcommand{\fix}{\marginpar{FIX}} +\newcommand{\new}{\marginpar{NEW}} + +\iclrfinalcopy % Uncomment for camera-ready version, but NOT for submission. +\begin{document} + + +\maketitle + +\begin{abstract} + $\partial\mathbb{B}$ nets are real-valued, differentiable neural networks that can be `hardened' to generate boolean functions with identical semantics. Existing approaches to neural network binarization lose accuracy; in contrast, training a $\partial\mathbb{B}$ net with backpropagation yields a compact and interpretable boolean function with identical accuracy. Experiments demonstrate that $\partial\mathbb{B}$ nets achieve competitive performance on standard machine learning problems. +\end{abstract} + +\section{Introduction} + +Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum. + + +\begin{figure}[h] +\begin{center} +%\framebox[4.0in]{$\;$} +\fbox{\rule[-.5cm]{0cm}{4cm} \rule[-.5cm]{4cm}{0cm}} +\end{center} +\caption{Sample figure caption.} +\end{figure} + +\section{Tables} + +\begin{table}[h] +\caption{Sample table title} +\label{sample-table} +\begin{center} +\begin{tabular}{ll} +\multicolumn{1}{c}{\bf PART} &\multicolumn{1}{c}{\bf DESCRIPTION} +\\ \hline \\ +Dendrite &Input terminal \\ +Axon &Output terminal \\ +Soma &Cell body (contains cell nucleus) \\ +\end{tabular} +\end{center} +\end{table} + +\section{Default Notation} + + +\centerline{\bf Numbers and Arrays} +\bgroup +\def\arraystretch{1.5} +\begin{tabular}{p{1in}p{3.25in}} +$\displaystyle a$ & A scalar (integer or real)\\ +$\displaystyle \va$ & A vector\\ +$\displaystyle \mA$ & A matrix\\ +$\displaystyle \tA$ & A tensor\\ +$\displaystyle \mI_n$ & Identity matrix with $n$ rows and $n$ columns\\ +$\displaystyle \mI$ & Identity matrix with dimensionality implied by context\\ +$\displaystyle \ve^{(i)}$ & Standard basis vector $[0,\dots,0,1,0,\dots,0]$ with a 1 at position $i$\\ +$\displaystyle \text{diag}(\va)$ & A square, diagonal matrix with diagonal entries given by $\va$\\ +$\displaystyle \ra$ & A scalar random variable\\ +$\displaystyle \rva$ & A vector-valued random variable\\ +$\displaystyle \rmA$ & A matrix-valued random variable\\ +\end{tabular} +\egroup +\vspace{0.25cm} + +\centerline{\bf Sets and Graphs} +\bgroup +\def\arraystretch{1.5} + +\begin{tabular}{p{1.25in}p{3.25in}} +$\displaystyle \sA$ & A set\\ +$\displaystyle \R$ & The set of real numbers \\ +$\displaystyle \{0, 1\}$ & The set containing 0 and 1 \\ +$\displaystyle \{0, 1, \dots, n \}$ & The set of all integers between $0$ and $n$\\ +$\displaystyle [a, b]$ & The real interval including $a$ and $b$\\ +$\displaystyle (a, b]$ & The real interval excluding $a$ but including $b$\\ +$\displaystyle \sA \backslash \sB$ & Set subtraction, i.e., the set containing the elements of $\sA$ that are not in $\sB$\\ +$\displaystyle \gG$ & A graph\\ +$\displaystyle \parents_\gG(\ervx_i)$ & The parents of $\ervx_i$ in $\gG$ +\end{tabular} +\vspace{0.25cm} + + +\centerline{\bf Indexing} +\bgroup +\def\arraystretch{1.5} + +\begin{tabular}{p{1.25in}p{3.25in}} +$\displaystyle \eva_i$ & Element $i$ of vector $\va$, with indexing starting at 1 \\ +$\displaystyle \eva_{-i}$ & All elements of vector $\va$ except for element $i$ \\ +$\displaystyle \emA_{i,j}$ & Element $i, j$ of matrix $\mA$ \\ +$\displaystyle \mA_{i, :}$ & Row $i$ of matrix $\mA$ \\ +$\displaystyle \mA_{:, i}$ & Column $i$ of matrix $\mA$ \\ +$\displaystyle \etA_{i, j, k}$ & Element $(i, j, k)$ of a 3-D tensor $\tA$\\ +$\displaystyle \tA_{:, :, i}$ & 2-D slice of a 3-D tensor\\ +$\displaystyle \erva_i$ & Element $i$ of the random vector $\rva$ \\ +\end{tabular} +\egroup +\vspace{0.25cm} + + +\centerline{\bf Calculus} +\bgroup +\def\arraystretch{1.5} +\begin{tabular}{p{1.25in}p{3.25in}} +% NOTE: the [2ex] on the next line adds extra height to that row of the table. +% Without that command, the fraction on the first line is too tall and collides +% with the fraction on the second line. +$\displaystyle\frac{d y} {d x}$ & Derivative of $y$ with respect to $x$\\ [2ex] +$\displaystyle \frac{\partial y} {\partial x} $ & Partial derivative of $y$ with respect to $x$ \\ +$\displaystyle \nabla_\vx y $ & Gradient of $y$ with respect to $\vx$ \\ +$\displaystyle \nabla_\mX y $ & Matrix derivatives of $y$ with respect to $\mX$ \\ +$\displaystyle \nabla_\tX y $ & Tensor containing derivatives of $y$ with respect to $\tX$ \\ +$\displaystyle \frac{\partial f}{\partial \vx} $ & Jacobian matrix $\mJ \in \R^{m\times n}$ of $f: \R^n \rightarrow \R^m$\\ +$\displaystyle \nabla_\vx^2 f(\vx)\text{ or }\mH( f)(\vx)$ & The Hessian matrix of $f$ at input point $\vx$\\ +$\displaystyle \int f(\vx) d\vx $ & Definite integral over the entire domain of $\vx$ \\ +$\displaystyle \int_\sS f(\vx) d\vx$ & Definite integral with respect to $\vx$ over the set $\sS$ \\ +\end{tabular} +\egroup +\vspace{0.25cm} + +\centerline{\bf Probability and Information Theory} +\bgroup +\def\arraystretch{1.5} +\begin{tabular}{p{1.25in}p{3.25in}} +$\displaystyle P(\ra)$ & A probability distribution over a discrete variable\\ +$\displaystyle p(\ra)$ & A probability distribution over a continuous variable, or over +a variable whose type has not been specified\\ +$\displaystyle \ra \sim P$ & Random variable $\ra$ has distribution $P$\\% so thing on left of \sim should always be a random variable, with name beginning with \r +$\displaystyle \E_{\rx\sim P} [ f(x) ]\text{ or } \E f(x)$ & Expectation of $f(x)$ with respect to $P(\rx)$ \\ +$\displaystyle \Var(f(x)) $ & Variance of $f(x)$ under $P(\rx)$ \\ +$\displaystyle \Cov(f(x),g(x)) $ & Covariance of $f(x)$ and $g(x)$ under $P(\rx)$\\ +$\displaystyle H(\rx) $ & Shannon entropy of the random variable $\rx$\\ +$\displaystyle \KL ( P \Vert Q ) $ & Kullback-Leibler divergence of P and Q \\ +$\displaystyle \mathcal{N} ( \vx ; \vmu , \mSigma)$ & Gaussian distribution % +over $\vx$ with mean $\vmu$ and covariance $\mSigma$ \\ +\end{tabular} +\egroup +\vspace{0.25cm} + +\centerline{\bf Functions} +\bgroup +\def\arraystretch{1.5} +\begin{tabular}{p{1.25in}p{3.25in}} +$\displaystyle f: \sA \rightarrow \sB$ & The function $f$ with domain $\sA$ and range $\sB$\\ +$\displaystyle f \circ g $ & Composition of the functions $f$ and $g$ \\ + $\displaystyle f(\vx ; \vtheta) $ & A function of $\vx$ parametrized by $\vtheta$. + (Sometimes we write $f(\vx)$ and omit the argument $\vtheta$ to lighten notation) \\ +$\displaystyle \log x$ & Natural logarithm of $x$ \\ +$\displaystyle \sigma(x)$ & Logistic sigmoid, $\displaystyle \frac{1} {1 + \exp(-x)}$ \\ +$\displaystyle \zeta(x)$ & Softplus, $\log(1 + \exp(x))$ \\ +$\displaystyle || \vx ||_p $ & $\normlp$ norm of $\vx$ \\ +$\displaystyle || \vx || $ & $\normltwo$ norm of $\vx$ \\ +$\displaystyle x^+$ & Positive part of $x$, i.e., $\max(0,x)$\\ +$\displaystyle \1_\mathrm{condition}$ & is 1 if the condition is true, 0 otherwise\\ +\end{tabular} +\egroup +\vspace{0.25cm} + + + +\subsubsection*{Acknowledgments} +Use unnumbered third level headings for the acknowledgments. All +acknowledgments, including those to funding agencies, go at the end of the paper. + + +\bibliography{iclr2021_conference} +\bibliographystyle{iclr2021_conference} + +\appendix +\section{Appendix} +You may include other additional sections here. + +\end{document} diff --git a/docs/iclr2021_conference.sty b/docs/iclr2021_conference.sty new file mode 100644 index 0000000..752784e --- /dev/null +++ b/docs/iclr2021_conference.sty @@ -0,0 +1,246 @@ +%%%% ICLR Macros (LaTex) +%%%% Adapted by Hugo Larochelle from the NIPS stylefile Macros +%%%% Style File +%%%% Dec 12, 1990 Rev Aug 14, 1991; Sept, 1995; April, 1997; April, 1999; October 2014 + +% This file can be used with Latex2e whether running in main mode, or +% 2.09 compatibility mode. +% +% If using main mode, you need to include the commands +% \documentclass{article} +% \usepackage{iclr14submit_e,times} +% + +% Change the overall width of the page. If these parameters are +% changed, they will require corresponding changes in the +% maketitle section. +% +\usepackage{eso-pic} % used by \AddToShipoutPicture +\RequirePackage{fancyhdr} +\RequirePackage{natbib} + +% modification to natbib citations +\setcitestyle{authoryear,round,citesep={;},aysep={,},yysep={;}} + +\renewcommand{\topfraction}{0.95} % let figure take up nearly whole page +\renewcommand{\textfraction}{0.05} % let figure take up nearly whole page + +% Define iclrfinal, set to true if iclrfinalcopy is defined +\newif\ificlrfinal +\iclrfinalfalse +\def\iclrfinalcopy{\iclrfinaltrue} +\font\iclrtenhv = phvb at 8pt + +% Specify the dimensions of each page + +\setlength{\paperheight}{11in} +\setlength{\paperwidth}{8.5in} + + +\oddsidemargin .5in % Note \oddsidemargin = \evensidemargin +\evensidemargin .5in +\marginparwidth 0.07 true in +%\marginparwidth 0.75 true in +%\topmargin 0 true pt % Nominal distance from top of page to top of +%\topmargin 0.125in +\topmargin -0.625in +\addtolength{\headsep}{0.25in} +\textheight 9.0 true in % Height of text (including footnotes & figures) +\textwidth 5.5 true in % Width of text line. +\widowpenalty=10000 +\clubpenalty=10000 + +% \thispagestyle{empty} \pagestyle{empty} +\flushbottom \sloppy + +% We're never going to need a table of contents, so just flush it to +% save space --- suggested by drstrip@sandia-2 +\def\addcontentsline#1#2#3{} + +% Title stuff, taken from deproc. +\def\maketitle{\par +\begingroup + \def\thefootnote{\fnsymbol{footnote}} + \def\@makefnmark{\hbox to 0pt{$^{\@thefnmark}$\hss}} % for perfect author + % name centering +% The footnote-mark was overlapping the footnote-text, +% added the following to fix this problem (MK) + \long\def\@makefntext##1{\parindent 1em\noindent + \hbox to1.8em{\hss $\m@th ^{\@thefnmark}$}##1} + \@maketitle \@thanks +\endgroup +\setcounter{footnote}{0} +\let\maketitle\relax \let\@maketitle\relax +\gdef\@thanks{}\gdef\@author{}\gdef\@title{}\let\thanks\relax} + +% The toptitlebar has been raised to top-justify the first page + +\usepackage{fancyhdr} +\pagestyle{fancy} +\fancyhead{} + +% Title (includes both anonimized and non-anonimized versions) +\def\@maketitle{\vbox{\hsize\textwidth +%\linewidth\hsize \vskip 0.1in \toptitlebar \centering +{\LARGE\sc \@title\par} +%\bottomtitlebar % \vskip 0.1in % minus +\ificlrfinal +% \lhead{Published as a conference paper at ICLR 2021} + \lhead{draft} + \def\And{\end{tabular}\hfil\linebreak[0]\hfil + \begin{tabular}[t]{l}\bf\rule{\z@}{24pt}\ignorespaces}% + \def\AND{\end{tabular}\hfil\linebreak[4]\hfil + \begin{tabular}[t]{l}\bf\rule{\z@}{24pt}\ignorespaces}% + \begin{tabular}[t]{l}\bf\rule{\z@}{24pt}\@author\end{tabular}% +\else + \lhead{draft} + \def\And{\end{tabular}\hfil\linebreak[0]\hfil + \begin{tabular}[t]{l}\bf\rule{\z@}{24pt}\ignorespaces}% + \def\AND{\end{tabular}\hfil\linebreak[4]\hfil + \begin{tabular}[t]{l}\bf\rule{\z@}{24pt}\ignorespaces}% + \begin{tabular}[t]{l}\bf\rule{\z@}{24pt}Anonymous authors\\Paper under double-blind review\end{tabular}% +\fi +\vskip 0.3in minus 0.1in}} + +\renewenvironment{abstract}{\vskip.075in\centerline{\large\sc +Abstract}\vspace{0.5ex}\begin{quote}}{\par\end{quote}\vskip 1ex} + +% sections with less space +\def\section{\@startsection {section}{1}{\z@}{-2.0ex plus + -0.5ex minus -.2ex}{1.5ex plus 0.3ex +minus0.2ex}{\large\sc\raggedright}} + +\def\subsection{\@startsection{subsection}{2}{\z@}{-1.8ex plus +-0.5ex minus -.2ex}{0.8ex plus .2ex}{\normalsize\sc\raggedright}} +\def\subsubsection{\@startsection{subsubsection}{3}{\z@}{-1.5ex +plus -0.5ex minus -.2ex}{0.5ex plus +.2ex}{\normalsize\sc\raggedright}} +\def\paragraph{\@startsection{paragraph}{4}{\z@}{1.5ex plus +0.5ex minus .2ex}{-1em}{\normalsize\bf}} +\def\subparagraph{\@startsection{subparagraph}{5}{\z@}{1.5ex plus + 0.5ex minus .2ex}{-1em}{\normalsize\sc}} +\def\subsubsubsection{\vskip +5pt{\noindent\normalsize\rm\raggedright}} + + +% Footnotes +\footnotesep 6.65pt % +\skip\footins 9pt plus 4pt minus 2pt +\def\footnoterule{\kern-3pt \hrule width 12pc \kern 2.6pt } +\setcounter{footnote}{0} + +% Lists and paragraphs +\parindent 0pt +\topsep 4pt plus 1pt minus 2pt +\partopsep 1pt plus 0.5pt minus 0.5pt +\itemsep 2pt plus 1pt minus 0.5pt +\parsep 2pt plus 1pt minus 0.5pt +\parskip .5pc + + +%\leftmargin2em +\leftmargin3pc +\leftmargini\leftmargin \leftmarginii 2em +\leftmarginiii 1.5em \leftmarginiv 1.0em \leftmarginv .5em + +%\labelsep \labelsep 5pt + +\def\@listi{\leftmargin\leftmargini} +\def\@listii{\leftmargin\leftmarginii + \labelwidth\leftmarginii\advance\labelwidth-\labelsep + \topsep 2pt plus 1pt minus 0.5pt + \parsep 1pt plus 0.5pt minus 0.5pt + \itemsep \parsep} +\def\@listiii{\leftmargin\leftmarginiii + \labelwidth\leftmarginiii\advance\labelwidth-\labelsep + \topsep 1pt plus 0.5pt minus 0.5pt + \parsep \z@ \partopsep 0.5pt plus 0pt minus 0.5pt + \itemsep \topsep} +\def\@listiv{\leftmargin\leftmarginiv + \labelwidth\leftmarginiv\advance\labelwidth-\labelsep} +\def\@listv{\leftmargin\leftmarginv + \labelwidth\leftmarginv\advance\labelwidth-\labelsep} +\def\@listvi{\leftmargin\leftmarginvi + \labelwidth\leftmarginvi\advance\labelwidth-\labelsep} + +\abovedisplayskip 7pt plus2pt minus5pt% +\belowdisplayskip \abovedisplayskip +\abovedisplayshortskip 0pt plus3pt% +\belowdisplayshortskip 4pt plus3pt minus3pt% + +% Less leading in most fonts (due to the narrow columns) +% The choices were between 1-pt and 1.5-pt leading +%\def\@normalsize{\@setsize\normalsize{11pt}\xpt\@xpt} % got rid of @ (MK) +\def\normalsize{\@setsize\normalsize{11pt}\xpt\@xpt} +\def\small{\@setsize\small{10pt}\ixpt\@ixpt} +\def\footnotesize{\@setsize\footnotesize{10pt}\ixpt\@ixpt} +\def\scriptsize{\@setsize\scriptsize{8pt}\viipt\@viipt} +\def\tiny{\@setsize\tiny{7pt}\vipt\@vipt} +\def\large{\@setsize\large{14pt}\xiipt\@xiipt} +\def\Large{\@setsize\Large{16pt}\xivpt\@xivpt} +\def\LARGE{\@setsize\LARGE{20pt}\xviipt\@xviipt} +\def\huge{\@setsize\huge{23pt}\xxpt\@xxpt} +\def\Huge{\@setsize\Huge{28pt}\xxvpt\@xxvpt} + +\def\toptitlebar{\hrule height4pt\vskip .25in\vskip-\parskip} + +\def\bottomtitlebar{\vskip .29in\vskip-\parskip\hrule height1pt\vskip +.09in} % +%Reduced second vskip to compensate for adding the strut in \@author + + +%% % Vertical Ruler +%% % This code is, largely, from the CVPR 2010 conference style file +%% % ----- define vruler +%% \makeatletter +%% \newbox\iclrrulerbox +%% \newcount\iclrrulercount +%% \newdimen\iclrruleroffset +%% \newdimen\cv@lineheight +%% \newdimen\cv@boxheight +%% \newbox\cv@tmpbox +%% \newcount\cv@refno +%% \newcount\cv@tot +%% % NUMBER with left flushed zeros \fillzeros[] +%% \newcount\cv@tmpc@ \newcount\cv@tmpc +%% \def\fillzeros[#1]#2{\cv@tmpc@=#2\relax\ifnum\cv@tmpc@<0\cv@tmpc@=-\cv@tmpc@\fi +%% \cv@tmpc=1 % +%% \loop\ifnum\cv@tmpc@<10 \else \divide\cv@tmpc@ by 10 \advance\cv@tmpc by 1 \fi +%% \ifnum\cv@tmpc@=10\relax\cv@tmpc@=11\relax\fi \ifnum\cv@tmpc@>10 \repeat +%% \ifnum#2<0\advance\cv@tmpc1\relax-\fi +%% \loop\ifnum\cv@tmpc<#1\relax0\advance\cv@tmpc1\relax\fi \ifnum\cv@tmpc<#1 \repeat +%% \cv@tmpc@=#2\relax\ifnum\cv@tmpc@<0\cv@tmpc@=-\cv@tmpc@\fi \relax\the\cv@tmpc@}% +%% % \makevruler[][][][][] +%% \def\makevruler[#1][#2][#3][#4][#5]{\begingroup\offinterlineskip +%% \textheight=#5\vbadness=10000\vfuzz=120ex\overfullrule=0pt% +%% \global\setbox\iclrrulerbox=\vbox to \textheight{% +%% {\parskip=0pt\hfuzz=150em\cv@boxheight=\textheight +%% \cv@lineheight=#1\global\iclrrulercount=#2% +%% \cv@tot\cv@boxheight\divide\cv@tot\cv@lineheight\advance\cv@tot2% +%% \cv@refno1\vskip-\cv@lineheight\vskip1ex% +%% \loop\setbox\cv@tmpbox=\hbox to0cm{{\iclrtenhv\hfil\fillzeros[#4]\iclrrulercount}}% +%% \ht\cv@tmpbox\cv@lineheight\dp\cv@tmpbox0pt\box\cv@tmpbox\break +%% \advance\cv@refno1\global\advance\iclrrulercount#3\relax +%% \ifnum\cv@refno<\cv@tot\repeat}}\endgroup}% +%% \makeatother +%% % ----- end of vruler + +%% % \makevruler[][][][][] +%% \def\iclrruler#1{\makevruler[12pt][#1][1][3][0.993\textheight]\usebox{\iclrrulerbox}} +%% \AddToShipoutPicture{% +%% \ificlrfinal\else +%% \iclrruleroffset=\textheight +%% \advance\iclrruleroffset by -3.7pt +%% \color[rgb]{.7,.7,.7} +%% \AtTextUpperLeft{% +%% \put(\LenToUnit{-35pt},\LenToUnit{-\iclrruleroffset}){%left ruler +%% \iclrruler{\iclrrulercount}} +%% } +%% \fi +%% } +%%% To add a vertical bar on the side +%\AddToShipoutPicture{ +%\AtTextLowerLeft{ +%\hspace*{-1.8cm} +%\colorbox[rgb]{0.7,0.7,0.7}{\small \parbox[b][\textheight]{0.1cm}{}}} +%} diff --git a/docs/math_commands.tex b/docs/math_commands.tex new file mode 100644 index 0000000..0668f93 --- /dev/null +++ b/docs/math_commands.tex @@ -0,0 +1,508 @@ +%%%%% NEW MATH DEFINITIONS %%%%% + +\usepackage{amsmath,amsfonts,bm} + +% Mark sections of captions for referring to divisions of figures +\newcommand{\figleft}{{\em (Left)}} +\newcommand{\figcenter}{{\em (Center)}} +\newcommand{\figright}{{\em (Right)}} +\newcommand{\figtop}{{\em (Top)}} +\newcommand{\figbottom}{{\em (Bottom)}} +\newcommand{\captiona}{{\em (a)}} +\newcommand{\captionb}{{\em (b)}} +\newcommand{\captionc}{{\em (c)}} +\newcommand{\captiond}{{\em (d)}} + +% Highlight a newly defined term +\newcommand{\newterm}[1]{{\bf #1}} + + +% Figure reference, lower-case. +\def\figref#1{figure~\ref{#1}} +% Figure reference, capital. For start of sentence +\def\Figref#1{Figure~\ref{#1}} +\def\twofigref#1#2{figures \ref{#1} and \ref{#2}} +\def\quadfigref#1#2#3#4{figures \ref{#1}, \ref{#2}, \ref{#3} and \ref{#4}} +% Section reference, lower-case. +\def\secref#1{section~\ref{#1}} +% Section reference, capital. +\def\Secref#1{Section~\ref{#1}} +% Reference to two sections. +\def\twosecrefs#1#2{sections \ref{#1} and \ref{#2}} +% Reference to three sections. +\def\secrefs#1#2#3{sections \ref{#1}, \ref{#2} and \ref{#3}} +% Reference to an equation, lower-case. +\def\eqref#1{equation~\ref{#1}} +% Reference to an equation, upper case +\def\Eqref#1{Equation~\ref{#1}} +% A raw reference to an equation---avoid using if possible +\def\plaineqref#1{\ref{#1}} +% Reference to a chapter, lower-case. +\def\chapref#1{chapter~\ref{#1}} +% Reference to an equation, upper case. +\def\Chapref#1{Chapter~\ref{#1}} +% Reference to a range of chapters +\def\rangechapref#1#2{chapters\ref{#1}--\ref{#2}} +% Reference to an algorithm, lower-case. +\def\algref#1{algorithm~\ref{#1}} +% Reference to an algorithm, upper case. +\def\Algref#1{Algorithm~\ref{#1}} +\def\twoalgref#1#2{algorithms \ref{#1} and \ref{#2}} +\def\Twoalgref#1#2{Algorithms \ref{#1} and \ref{#2}} +% Reference to a part, lower case +\def\partref#1{part~\ref{#1}} +% Reference to a part, upper case +\def\Partref#1{Part~\ref{#1}} +\def\twopartref#1#2{parts \ref{#1} and \ref{#2}} + +\def\ceil#1{\lceil #1 \rceil} +\def\floor#1{\lfloor #1 \rfloor} +\def\1{\bm{1}} +\newcommand{\train}{\mathcal{D}} +\newcommand{\valid}{\mathcal{D_{\mathrm{valid}}}} +\newcommand{\test}{\mathcal{D_{\mathrm{test}}}} + +\def\eps{{\epsilon}} + + +% Random variables +\def\reta{{\textnormal{$\eta$}}} +\def\ra{{\textnormal{a}}} +\def\rb{{\textnormal{b}}} +\def\rc{{\textnormal{c}}} +\def\rd{{\textnormal{d}}} +\def\re{{\textnormal{e}}} +\def\rf{{\textnormal{f}}} +\def\rg{{\textnormal{g}}} +\def\rh{{\textnormal{h}}} +\def\ri{{\textnormal{i}}} +\def\rj{{\textnormal{j}}} +\def\rk{{\textnormal{k}}} +\def\rl{{\textnormal{l}}} +% rm is already a command, just don't name any random variables m +\def\rn{{\textnormal{n}}} +\def\ro{{\textnormal{o}}} +\def\rp{{\textnormal{p}}} +\def\rq{{\textnormal{q}}} +\def\rr{{\textnormal{r}}} +\def\rs{{\textnormal{s}}} +\def\rt{{\textnormal{t}}} +\def\ru{{\textnormal{u}}} +\def\rv{{\textnormal{v}}} +\def\rw{{\textnormal{w}}} +\def\rx{{\textnormal{x}}} +\def\ry{{\textnormal{y}}} +\def\rz{{\textnormal{z}}} + +% Random vectors +\def\rvepsilon{{\mathbf{\epsilon}}} +\def\rvtheta{{\mathbf{\theta}}} +\def\rva{{\mathbf{a}}} +\def\rvb{{\mathbf{b}}} +\def\rvc{{\mathbf{c}}} +\def\rvd{{\mathbf{d}}} +\def\rve{{\mathbf{e}}} +\def\rvf{{\mathbf{f}}} +\def\rvg{{\mathbf{g}}} +\def\rvh{{\mathbf{h}}} +\def\rvu{{\mathbf{i}}} +\def\rvj{{\mathbf{j}}} +\def\rvk{{\mathbf{k}}} +\def\rvl{{\mathbf{l}}} +\def\rvm{{\mathbf{m}}} +\def\rvn{{\mathbf{n}}} +\def\rvo{{\mathbf{o}}} +\def\rvp{{\mathbf{p}}} +\def\rvq{{\mathbf{q}}} +\def\rvr{{\mathbf{r}}} +\def\rvs{{\mathbf{s}}} +\def\rvt{{\mathbf{t}}} +\def\rvu{{\mathbf{u}}} +\def\rvv{{\mathbf{v}}} +\def\rvw{{\mathbf{w}}} +\def\rvx{{\mathbf{x}}} +\def\rvy{{\mathbf{y}}} +\def\rvz{{\mathbf{z}}} + +% Elements of random vectors +\def\erva{{\textnormal{a}}} +\def\ervb{{\textnormal{b}}} +\def\ervc{{\textnormal{c}}} +\def\ervd{{\textnormal{d}}} +\def\erve{{\textnormal{e}}} +\def\ervf{{\textnormal{f}}} +\def\ervg{{\textnormal{g}}} +\def\ervh{{\textnormal{h}}} +\def\ervi{{\textnormal{i}}} +\def\ervj{{\textnormal{j}}} +\def\ervk{{\textnormal{k}}} +\def\ervl{{\textnormal{l}}} +\def\ervm{{\textnormal{m}}} +\def\ervn{{\textnormal{n}}} +\def\ervo{{\textnormal{o}}} +\def\ervp{{\textnormal{p}}} +\def\ervq{{\textnormal{q}}} +\def\ervr{{\textnormal{r}}} +\def\ervs{{\textnormal{s}}} +\def\ervt{{\textnormal{t}}} +\def\ervu{{\textnormal{u}}} +\def\ervv{{\textnormal{v}}} +\def\ervw{{\textnormal{w}}} +\def\ervx{{\textnormal{x}}} +\def\ervy{{\textnormal{y}}} +\def\ervz{{\textnormal{z}}} + +% Random matrices +\def\rmA{{\mathbf{A}}} +\def\rmB{{\mathbf{B}}} +\def\rmC{{\mathbf{C}}} +\def\rmD{{\mathbf{D}}} +\def\rmE{{\mathbf{E}}} +\def\rmF{{\mathbf{F}}} +\def\rmG{{\mathbf{G}}} +\def\rmH{{\mathbf{H}}} +\def\rmI{{\mathbf{I}}} +\def\rmJ{{\mathbf{J}}} +\def\rmK{{\mathbf{K}}} +\def\rmL{{\mathbf{L}}} +\def\rmM{{\mathbf{M}}} +\def\rmN{{\mathbf{N}}} +\def\rmO{{\mathbf{O}}} +\def\rmP{{\mathbf{P}}} +\def\rmQ{{\mathbf{Q}}} +\def\rmR{{\mathbf{R}}} +\def\rmS{{\mathbf{S}}} +\def\rmT{{\mathbf{T}}} +\def\rmU{{\mathbf{U}}} +\def\rmV{{\mathbf{V}}} +\def\rmW{{\mathbf{W}}} +\def\rmX{{\mathbf{X}}} +\def\rmY{{\mathbf{Y}}} +\def\rmZ{{\mathbf{Z}}} + +% Elements of random matrices +\def\ermA{{\textnormal{A}}} +\def\ermB{{\textnormal{B}}} +\def\ermC{{\textnormal{C}}} +\def\ermD{{\textnormal{D}}} +\def\ermE{{\textnormal{E}}} +\def\ermF{{\textnormal{F}}} +\def\ermG{{\textnormal{G}}} +\def\ermH{{\textnormal{H}}} +\def\ermI{{\textnormal{I}}} +\def\ermJ{{\textnormal{J}}} +\def\ermK{{\textnormal{K}}} +\def\ermL{{\textnormal{L}}} +\def\ermM{{\textnormal{M}}} +\def\ermN{{\textnormal{N}}} +\def\ermO{{\textnormal{O}}} +\def\ermP{{\textnormal{P}}} +\def\ermQ{{\textnormal{Q}}} +\def\ermR{{\textnormal{R}}} +\def\ermS{{\textnormal{S}}} +\def\ermT{{\textnormal{T}}} +\def\ermU{{\textnormal{U}}} +\def\ermV{{\textnormal{V}}} +\def\ermW{{\textnormal{W}}} +\def\ermX{{\textnormal{X}}} +\def\ermY{{\textnormal{Y}}} +\def\ermZ{{\textnormal{Z}}} + +% Vectors +\def\vzero{{\bm{0}}} +\def\vone{{\bm{1}}} +\def\vmu{{\bm{\mu}}} +\def\vtheta{{\bm{\theta}}} +\def\va{{\bm{a}}} +\def\vb{{\bm{b}}} +\def\vc{{\bm{c}}} +\def\vd{{\bm{d}}} +\def\ve{{\bm{e}}} +\def\vf{{\bm{f}}} +\def\vg{{\bm{g}}} +\def\vh{{\bm{h}}} +\def\vi{{\bm{i}}} +\def\vj{{\bm{j}}} +\def\vk{{\bm{k}}} +\def\vl{{\bm{l}}} +\def\vm{{\bm{m}}} +\def\vn{{\bm{n}}} +\def\vo{{\bm{o}}} +\def\vp{{\bm{p}}} +\def\vq{{\bm{q}}} +\def\vr{{\bm{r}}} +\def\vs{{\bm{s}}} +\def\vt{{\bm{t}}} +\def\vu{{\bm{u}}} +\def\vv{{\bm{v}}} +\def\vw{{\bm{w}}} +\def\vx{{\bm{x}}} +\def\vy{{\bm{y}}} +\def\vz{{\bm{z}}} + +% Elements of vectors +\def\evalpha{{\alpha}} +\def\evbeta{{\beta}} +\def\evepsilon{{\epsilon}} +\def\evlambda{{\lambda}} +\def\evomega{{\omega}} +\def\evmu{{\mu}} +\def\evpsi{{\psi}} +\def\evsigma{{\sigma}} +\def\evtheta{{\theta}} +\def\eva{{a}} +\def\evb{{b}} +\def\evc{{c}} +\def\evd{{d}} +\def\eve{{e}} +\def\evf{{f}} +\def\evg{{g}} +\def\evh{{h}} +\def\evi{{i}} +\def\evj{{j}} +\def\evk{{k}} +\def\evl{{l}} +\def\evm{{m}} +\def\evn{{n}} +\def\evo{{o}} +\def\evp{{p}} +\def\evq{{q}} +\def\evr{{r}} +\def\evs{{s}} +\def\evt{{t}} +\def\evu{{u}} +\def\evv{{v}} +\def\evw{{w}} +\def\evx{{x}} +\def\evy{{y}} +\def\evz{{z}} + +% Matrix +\def\mA{{\bm{A}}} +\def\mB{{\bm{B}}} +\def\mC{{\bm{C}}} +\def\mD{{\bm{D}}} +\def\mE{{\bm{E}}} +\def\mF{{\bm{F}}} +\def\mG{{\bm{G}}} +\def\mH{{\bm{H}}} +\def\mI{{\bm{I}}} +\def\mJ{{\bm{J}}} +\def\mK{{\bm{K}}} +\def\mL{{\bm{L}}} +\def\mM{{\bm{M}}} +\def\mN{{\bm{N}}} +\def\mO{{\bm{O}}} +\def\mP{{\bm{P}}} +\def\mQ{{\bm{Q}}} +\def\mR{{\bm{R}}} +\def\mS{{\bm{S}}} +\def\mT{{\bm{T}}} +\def\mU{{\bm{U}}} +\def\mV{{\bm{V}}} +\def\mW{{\bm{W}}} +\def\mX{{\bm{X}}} +\def\mY{{\bm{Y}}} +\def\mZ{{\bm{Z}}} +\def\mBeta{{\bm{\beta}}} +\def\mPhi{{\bm{\Phi}}} +\def\mLambda{{\bm{\Lambda}}} +\def\mSigma{{\bm{\Sigma}}} + +% Tensor +\DeclareMathAlphabet{\mathsfit}{\encodingdefault}{\sfdefault}{m}{sl} +\SetMathAlphabet{\mathsfit}{bold}{\encodingdefault}{\sfdefault}{bx}{n} +\newcommand{\tens}[1]{\bm{\mathsfit{#1}}} +\def\tA{{\tens{A}}} +\def\tB{{\tens{B}}} +\def\tC{{\tens{C}}} +\def\tD{{\tens{D}}} +\def\tE{{\tens{E}}} +\def\tF{{\tens{F}}} +\def\tG{{\tens{G}}} +\def\tH{{\tens{H}}} +\def\tI{{\tens{I}}} +\def\tJ{{\tens{J}}} +\def\tK{{\tens{K}}} +\def\tL{{\tens{L}}} +\def\tM{{\tens{M}}} +\def\tN{{\tens{N}}} +\def\tO{{\tens{O}}} +\def\tP{{\tens{P}}} +\def\tQ{{\tens{Q}}} +\def\tR{{\tens{R}}} +\def\tS{{\tens{S}}} +\def\tT{{\tens{T}}} +\def\tU{{\tens{U}}} +\def\tV{{\tens{V}}} +\def\tW{{\tens{W}}} +\def\tX{{\tens{X}}} +\def\tY{{\tens{Y}}} +\def\tZ{{\tens{Z}}} + + +% Graph +\def\gA{{\mathcal{A}}} +\def\gB{{\mathcal{B}}} +\def\gC{{\mathcal{C}}} +\def\gD{{\mathcal{D}}} +\def\gE{{\mathcal{E}}} +\def\gF{{\mathcal{F}}} +\def\gG{{\mathcal{G}}} +\def\gH{{\mathcal{H}}} +\def\gI{{\mathcal{I}}} +\def\gJ{{\mathcal{J}}} +\def\gK{{\mathcal{K}}} +\def\gL{{\mathcal{L}}} +\def\gM{{\mathcal{M}}} +\def\gN{{\mathcal{N}}} +\def\gO{{\mathcal{O}}} +\def\gP{{\mathcal{P}}} +\def\gQ{{\mathcal{Q}}} +\def\gR{{\mathcal{R}}} +\def\gS{{\mathcal{S}}} +\def\gT{{\mathcal{T}}} +\def\gU{{\mathcal{U}}} +\def\gV{{\mathcal{V}}} +\def\gW{{\mathcal{W}}} +\def\gX{{\mathcal{X}}} +\def\gY{{\mathcal{Y}}} +\def\gZ{{\mathcal{Z}}} + +% Sets +\def\sA{{\mathbb{A}}} +\def\sB{{\mathbb{B}}} +\def\sC{{\mathbb{C}}} +\def\sD{{\mathbb{D}}} +% Don't use a set called E, because this would be the same as our symbol +% for expectation. +\def\sF{{\mathbb{F}}} +\def\sG{{\mathbb{G}}} +\def\sH{{\mathbb{H}}} +\def\sI{{\mathbb{I}}} +\def\sJ{{\mathbb{J}}} +\def\sK{{\mathbb{K}}} +\def\sL{{\mathbb{L}}} +\def\sM{{\mathbb{M}}} +\def\sN{{\mathbb{N}}} +\def\sO{{\mathbb{O}}} +\def\sP{{\mathbb{P}}} +\def\sQ{{\mathbb{Q}}} +\def\sR{{\mathbb{R}}} +\def\sS{{\mathbb{S}}} +\def\sT{{\mathbb{T}}} +\def\sU{{\mathbb{U}}} +\def\sV{{\mathbb{V}}} +\def\sW{{\mathbb{W}}} +\def\sX{{\mathbb{X}}} +\def\sY{{\mathbb{Y}}} +\def\sZ{{\mathbb{Z}}} + +% Entries of a matrix +\def\emLambda{{\Lambda}} +\def\emA{{A}} +\def\emB{{B}} +\def\emC{{C}} +\def\emD{{D}} +\def\emE{{E}} +\def\emF{{F}} +\def\emG{{G}} +\def\emH{{H}} +\def\emI{{I}} +\def\emJ{{J}} +\def\emK{{K}} +\def\emL{{L}} +\def\emM{{M}} +\def\emN{{N}} +\def\emO{{O}} +\def\emP{{P}} +\def\emQ{{Q}} +\def\emR{{R}} +\def\emS{{S}} +\def\emT{{T}} +\def\emU{{U}} +\def\emV{{V}} +\def\emW{{W}} +\def\emX{{X}} +\def\emY{{Y}} +\def\emZ{{Z}} +\def\emSigma{{\Sigma}} + +% entries of a tensor +% Same font as tensor, without \bm wrapper +\newcommand{\etens}[1]{\mathsfit{#1}} +\def\etLambda{{\etens{\Lambda}}} +\def\etA{{\etens{A}}} +\def\etB{{\etens{B}}} +\def\etC{{\etens{C}}} +\def\etD{{\etens{D}}} +\def\etE{{\etens{E}}} +\def\etF{{\etens{F}}} +\def\etG{{\etens{G}}} +\def\etH{{\etens{H}}} +\def\etI{{\etens{I}}} +\def\etJ{{\etens{J}}} +\def\etK{{\etens{K}}} +\def\etL{{\etens{L}}} +\def\etM{{\etens{M}}} +\def\etN{{\etens{N}}} +\def\etO{{\etens{O}}} +\def\etP{{\etens{P}}} +\def\etQ{{\etens{Q}}} +\def\etR{{\etens{R}}} +\def\etS{{\etens{S}}} +\def\etT{{\etens{T}}} +\def\etU{{\etens{U}}} +\def\etV{{\etens{V}}} +\def\etW{{\etens{W}}} +\def\etX{{\etens{X}}} +\def\etY{{\etens{Y}}} +\def\etZ{{\etens{Z}}} + +% The true underlying data generating distribution +\newcommand{\pdata}{p_{\rm{data}}} +% The empirical distribution defined by the training set +\newcommand{\ptrain}{\hat{p}_{\rm{data}}} +\newcommand{\Ptrain}{\hat{P}_{\rm{data}}} +% The model distribution +\newcommand{\pmodel}{p_{\rm{model}}} +\newcommand{\Pmodel}{P_{\rm{model}}} +\newcommand{\ptildemodel}{\tilde{p}_{\rm{model}}} +% Stochastic autoencoder distributions +\newcommand{\pencode}{p_{\rm{encoder}}} +\newcommand{\pdecode}{p_{\rm{decoder}}} +\newcommand{\precons}{p_{\rm{reconstruct}}} + +\newcommand{\laplace}{\mathrm{Laplace}} % Laplace distribution + +\newcommand{\E}{\mathbb{E}} +\newcommand{\Ls}{\mathcal{L}} +\newcommand{\R}{\mathbb{R}} +\newcommand{\emp}{\tilde{p}} +\newcommand{\lr}{\alpha} +\newcommand{\reg}{\lambda} +\newcommand{\rect}{\mathrm{rectifier}} +\newcommand{\softmax}{\mathrm{softmax}} +\newcommand{\sigmoid}{\sigma} +\newcommand{\softplus}{\zeta} +\newcommand{\KL}{D_{\mathrm{KL}}} +\newcommand{\Var}{\mathrm{Var}} +\newcommand{\standarderror}{\mathrm{SE}} +\newcommand{\Cov}{\mathrm{Cov}} +% Wolfram Mathworld says $L^2$ is for function spaces and $\ell^2$ is for vectors +% But then they seem to use $L^2$ for vectors throughout the site, and so does +% wikipedia. +\newcommand{\normlzero}{L^0} +\newcommand{\normlone}{L^1} +\newcommand{\normltwo}{L^2} +\newcommand{\normlp}{L^p} +\newcommand{\normmax}{L^\infty} + +\newcommand{\parents}{Pa} % See usage in notation.tex. Chosen to match Daphne's book. + +\DeclareMathOperator*{\argmax}{arg\,max} +\DeclareMathOperator*{\argmin}{arg\,min} + +\DeclareMathOperator{\sign}{sign} +\DeclareMathOperator{\Tr}{Tr} +\let\ab\allowbreak From f42868e7aae7ef8ad85cc0d4a0a33260fdf45b00 Mon Sep 17 00:00:00 2001 From: Ian Wright Date: Wed, 8 Mar 2023 13:39:49 +0000 Subject: [PATCH 048/128] more definitions --- docs/db.tex | 370 ++++++++++++++++++++++++++++++++-------------------- 1 file changed, 229 insertions(+), 141 deletions(-) diff --git a/docs/db.tex b/docs/db.tex index bc97fd3..a477df6 100644 --- a/docs/db.tex +++ b/docs/db.tex @@ -7,14 +7,15 @@ \usepackage{hyperref} \usepackage{url} +\usepackage{amsthm} -\title{Learning boolean functions with $\partial\mathbb{B}$ nets} +\title{$\partial\mathbb{B}$ nets: learning boolean functions with\\backpropagation} % Authors must not appear in the submitted version. They should be hidden % as long as the \iclrfinalcopy macro remains commented out below. % Non-anonymous submissions will be rejected without review. -\author{Ian Wright \thanks{GitHub, z80coder@github.com} +\author{Ian Wright \thanks{GitHub, Z80coder@github.com} } % The \author macro works with any number of authors. There are two commands @@ -28,20 +29,152 @@ \newcommand{\fix}{\marginpar{FIX}} \newcommand{\new}{\marginpar{NEW}} +\newtheorem{theorem}{Theorem} +\newtheorem*{definition}{Definition} +\newtheorem{prop}{Proposition} + + \iclrfinalcopy % Uncomment for camera-ready version, but NOT for submission. \begin{document} - \maketitle \begin{abstract} - $\partial\mathbb{B}$ nets are real-valued, differentiable neural networks that can be `hardened' to generate boolean functions with identical semantics. Existing approaches to neural network binarization lose accuracy; in contrast, training a $\partial\mathbb{B}$ net with backpropagation yields a compact and interpretable boolean function with identical accuracy. Experiments demonstrate that $\partial\mathbb{B}$ nets achieve competitive performance on standard machine learning problems. + $\partial\mathbb{B}$ nets are real-valued, differentiable neural networks + trained by backpropagation that yield boolean functions with identical accuracy. + Existing approaches to neural network binarization lose accuracy. In contrast, + $\partial\mathbb{B}$ nets `harden' to boolean functions with identical semantics. Experiments demonstrate that $\partial\mathbb{B}$ nets achieve competitive accuracy on standard machine learning problems yet are significantly more compact and interpretable. \end{abstract} \section{Introduction} -Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum. - +\section{Related work} + +\section{$\partial\mathbb{B}$ nets} + +\begin{definition}[Soft-bits and hard-bits] +A {\em soft-bit} is a real value in the range $[0,1]$ and a {\em hard-bit} is a boolean value in the set $\{0,1\}$. A soft-bit, $x$, is {\em high} if $x>1/2$, otherwise it is {\em low}. +\end{definition} + +\begin{definition}[Hardening] +The {\em hardening} function, $h(x_{1}, \dots, x_{n}) = [f(x_{1}), \dots, f(x_{n})]$, converts soft-bits to hard-bits, where +\begin{equation*} +f(x) = +\begin{cases} +1 & \text{if } x > 1/2 \\ +0 & \text{otherwise.} +\end{cases} +\end{equation*} +\end{definition} + +\begin{definition}[Hard-equivalence] + A function, $f: [0,1]^n \rightarrow [0,1]^m$, is {\em hard-equivalent} to a boolean function, $g: \{1,0\}^n \rightarrow \{1,0\}^m$, if + $h(f(h({\bf x}))) = g(h({\bf x}))$ for all ${\bf x} \in [0,1]^{n}$. +\end{definition} + +\subsection{Differentiable boolean functions} + +Weights are trainable soft-bits. A high weight implies the corresponding operation is masked out and therefore inactive. + +\begin{definition} +$\partial\text{NOT}: [0, 1]^{2} \rightarrow [0,1]$ is the function, + \begin{equation*} + \partial\text{NOT}(w, x) = 1 - w + x (2w - 1)\text{,} + \end{equation*} +where $w$ is a weight and $x$ is a soft-bit value. +\end{definition} + +\begin{prop}\label{prop:not} + $\partial${NOT} is hard-equivalent to the boolean function +$\neg (x \oplus w)$. +\end{prop} + +If the weight is high then $\partial${NOT} is hard-equivalent to the boolean identity function; otherwise it is hard-equivalent to $\neg$. In consequence, we can learn to logically not, or simply pass through, the input value $x$. + +\begin{definition} +$\partial\text{AND}: [0,1]^{2} \rightarrow [0,1]$ is the function, + \begin{equation*} + \partial\text{AND}(x, y) = + \begin{cases} + 1/2 + 1/2(x + y)(m - 1/2) & \text{if } 2m > 1 \\ + m + 1/2(x + y)(1/2 - m) & \text{otherwise,} + \end{cases} + \end{equation*} + where $m=\min(x,y)$, and $x$ and $y$ are soft-bit values. +\end{definition} + +\begin{prop}\label{prop:and} + $\partial${AND} is hard-equivalent to the boolean function $x \wedge y$. +\end{prop} + +\begin{definition} +$\partial\text{OR}: [0,1]^{2} \rightarrow [0,1]$ is the function, + \begin{equation*} + \partial\text{OR}(x, y) = + \begin{cases} + 1/2 + 1/2(x + y)(m - 1/2) & \text{if } 2m > 1 \\ + m + 1/2(x + y)(1/2 - m) & \text{otherwise,} + \end{cases} + \end{equation*} + where $m=\max(x,y)$, and $x$ and $y$ are soft-bit values. +\end{definition} + +\begin{prop}\label{prop:or} + $\partial${OR} is hard-equivalent to the boolean function $x \vee y$. +\end{prop} + +\begin{definition} +$\partial\text{IMPLIES}: [0,1]^{2} \rightarrow [0,1]$ is the function, + \begin{equation*} + \partial\text{IMPLIES}(w, x) = \partial\text{OR}(x, 1-w)\text{,} + \end{equation*} +where $w$ is a weight and $x$ is a soft-bit value. +\end{definition} + +\begin{prop}\label{prop:implies} + $\partial${IMPLIES} is hard-equivalent to the boolean function $w \Rightarrow x$. +\end{prop} + +Define $\operatorname{majority-index}: \mathbb{Z}_{>0} \rightarrow \mathbb{Z}_{> 0}$ as $\operatorname{majority-index}(n) = 1 + \lfloor \frac{n-1}{2}\rfloor$. + +Define $\operatorname{select}: [0,1]^n \times {1, 2, \ldots, n} \rightarrow [0,1]$ as $\operatorname{select}({\bf x}, i) = x_{i}$. + +Define $\operatorname{majority-bit}: [0,1]^n \rightarrow [0,1]$ as $$\operatorname{majority-bit}({\bf x}) = \operatorname{select}( \operatorname{sort}({\bf x}), \operatorname{majority-index}(\lvert{\bf x}\rvert))\text{,}$$ where $\operatorname{sort}$ sorts the elements of a vector in ascending order. + +Define $\operatorname{majority-delta}: [0,1]^n \rightarrow [0,1]$ as +$$\operatorname{majority-delta}({\bf x}) = \bar{\bf x} \times \left| \operatorname{majority-bit}({\bf x}) - 1/2\right|\text{.}$$ + +\begin{definition} +$\partial\text{MAJORITY}: [0,1]^{n} \rightarrow [0,1]$ is the function, + \begin{equation*} + \partial\text{MAJORITY}({\bf x}) = + \begin{cases} + 1/2 + \delta & \text{if } m > 1/2 \\ + m + \delta & \text{otherwise,} + \end{cases} + \end{equation*} + where ${\bf x}$ is a vector of soft-bits, $m = \operatorname{majority-bit}({\bf x})$ and $\delta = \operatorname{majority-delta}({\bf x})$. +\end{definition} + +\begin{prop}\label{prop:majority} + $\partial${MAJORITY} is hard-equivalent to the boolean majority function, +\begin{equation*} +\text{MAJ}(x_{1}, \dots, x_{n}) = + \begin{cases} + 1 & \text{if } \sum_{i=1}^{n} x_{i} \geq n/2 \\ + 0 & \text{otherwise.} +\end{cases} +\end{equation*} +\end{prop} + + +\subsection{Logical layers} + + + +\section{Experiments} + +\section{Conclusion} \begin{figure}[h] \begin{center} @@ -51,139 +184,6 @@ \section{Introduction} \caption{Sample figure caption.} \end{figure} -\section{Tables} - -\begin{table}[h] -\caption{Sample table title} -\label{sample-table} -\begin{center} -\begin{tabular}{ll} -\multicolumn{1}{c}{\bf PART} &\multicolumn{1}{c}{\bf DESCRIPTION} -\\ \hline \\ -Dendrite &Input terminal \\ -Axon &Output terminal \\ -Soma &Cell body (contains cell nucleus) \\ -\end{tabular} -\end{center} -\end{table} - -\section{Default Notation} - - -\centerline{\bf Numbers and Arrays} -\bgroup -\def\arraystretch{1.5} -\begin{tabular}{p{1in}p{3.25in}} -$\displaystyle a$ & A scalar (integer or real)\\ -$\displaystyle \va$ & A vector\\ -$\displaystyle \mA$ & A matrix\\ -$\displaystyle \tA$ & A tensor\\ -$\displaystyle \mI_n$ & Identity matrix with $n$ rows and $n$ columns\\ -$\displaystyle \mI$ & Identity matrix with dimensionality implied by context\\ -$\displaystyle \ve^{(i)}$ & Standard basis vector $[0,\dots,0,1,0,\dots,0]$ with a 1 at position $i$\\ -$\displaystyle \text{diag}(\va)$ & A square, diagonal matrix with diagonal entries given by $\va$\\ -$\displaystyle \ra$ & A scalar random variable\\ -$\displaystyle \rva$ & A vector-valued random variable\\ -$\displaystyle \rmA$ & A matrix-valued random variable\\ -\end{tabular} -\egroup -\vspace{0.25cm} - -\centerline{\bf Sets and Graphs} -\bgroup -\def\arraystretch{1.5} - -\begin{tabular}{p{1.25in}p{3.25in}} -$\displaystyle \sA$ & A set\\ -$\displaystyle \R$ & The set of real numbers \\ -$\displaystyle \{0, 1\}$ & The set containing 0 and 1 \\ -$\displaystyle \{0, 1, \dots, n \}$ & The set of all integers between $0$ and $n$\\ -$\displaystyle [a, b]$ & The real interval including $a$ and $b$\\ -$\displaystyle (a, b]$ & The real interval excluding $a$ but including $b$\\ -$\displaystyle \sA \backslash \sB$ & Set subtraction, i.e., the set containing the elements of $\sA$ that are not in $\sB$\\ -$\displaystyle \gG$ & A graph\\ -$\displaystyle \parents_\gG(\ervx_i)$ & The parents of $\ervx_i$ in $\gG$ -\end{tabular} -\vspace{0.25cm} - - -\centerline{\bf Indexing} -\bgroup -\def\arraystretch{1.5} - -\begin{tabular}{p{1.25in}p{3.25in}} -$\displaystyle \eva_i$ & Element $i$ of vector $\va$, with indexing starting at 1 \\ -$\displaystyle \eva_{-i}$ & All elements of vector $\va$ except for element $i$ \\ -$\displaystyle \emA_{i,j}$ & Element $i, j$ of matrix $\mA$ \\ -$\displaystyle \mA_{i, :}$ & Row $i$ of matrix $\mA$ \\ -$\displaystyle \mA_{:, i}$ & Column $i$ of matrix $\mA$ \\ -$\displaystyle \etA_{i, j, k}$ & Element $(i, j, k)$ of a 3-D tensor $\tA$\\ -$\displaystyle \tA_{:, :, i}$ & 2-D slice of a 3-D tensor\\ -$\displaystyle \erva_i$ & Element $i$ of the random vector $\rva$ \\ -\end{tabular} -\egroup -\vspace{0.25cm} - - -\centerline{\bf Calculus} -\bgroup -\def\arraystretch{1.5} -\begin{tabular}{p{1.25in}p{3.25in}} -% NOTE: the [2ex] on the next line adds extra height to that row of the table. -% Without that command, the fraction on the first line is too tall and collides -% with the fraction on the second line. -$\displaystyle\frac{d y} {d x}$ & Derivative of $y$ with respect to $x$\\ [2ex] -$\displaystyle \frac{\partial y} {\partial x} $ & Partial derivative of $y$ with respect to $x$ \\ -$\displaystyle \nabla_\vx y $ & Gradient of $y$ with respect to $\vx$ \\ -$\displaystyle \nabla_\mX y $ & Matrix derivatives of $y$ with respect to $\mX$ \\ -$\displaystyle \nabla_\tX y $ & Tensor containing derivatives of $y$ with respect to $\tX$ \\ -$\displaystyle \frac{\partial f}{\partial \vx} $ & Jacobian matrix $\mJ \in \R^{m\times n}$ of $f: \R^n \rightarrow \R^m$\\ -$\displaystyle \nabla_\vx^2 f(\vx)\text{ or }\mH( f)(\vx)$ & The Hessian matrix of $f$ at input point $\vx$\\ -$\displaystyle \int f(\vx) d\vx $ & Definite integral over the entire domain of $\vx$ \\ -$\displaystyle \int_\sS f(\vx) d\vx$ & Definite integral with respect to $\vx$ over the set $\sS$ \\ -\end{tabular} -\egroup -\vspace{0.25cm} - -\centerline{\bf Probability and Information Theory} -\bgroup -\def\arraystretch{1.5} -\begin{tabular}{p{1.25in}p{3.25in}} -$\displaystyle P(\ra)$ & A probability distribution over a discrete variable\\ -$\displaystyle p(\ra)$ & A probability distribution over a continuous variable, or over -a variable whose type has not been specified\\ -$\displaystyle \ra \sim P$ & Random variable $\ra$ has distribution $P$\\% so thing on left of \sim should always be a random variable, with name beginning with \r -$\displaystyle \E_{\rx\sim P} [ f(x) ]\text{ or } \E f(x)$ & Expectation of $f(x)$ with respect to $P(\rx)$ \\ -$\displaystyle \Var(f(x)) $ & Variance of $f(x)$ under $P(\rx)$ \\ -$\displaystyle \Cov(f(x),g(x)) $ & Covariance of $f(x)$ and $g(x)$ under $P(\rx)$\\ -$\displaystyle H(\rx) $ & Shannon entropy of the random variable $\rx$\\ -$\displaystyle \KL ( P \Vert Q ) $ & Kullback-Leibler divergence of P and Q \\ -$\displaystyle \mathcal{N} ( \vx ; \vmu , \mSigma)$ & Gaussian distribution % -over $\vx$ with mean $\vmu$ and covariance $\mSigma$ \\ -\end{tabular} -\egroup -\vspace{0.25cm} - -\centerline{\bf Functions} -\bgroup -\def\arraystretch{1.5} -\begin{tabular}{p{1.25in}p{3.25in}} -$\displaystyle f: \sA \rightarrow \sB$ & The function $f$ with domain $\sA$ and range $\sB$\\ -$\displaystyle f \circ g $ & Composition of the functions $f$ and $g$ \\ - $\displaystyle f(\vx ; \vtheta) $ & A function of $\vx$ parametrized by $\vtheta$. - (Sometimes we write $f(\vx)$ and omit the argument $\vtheta$ to lighten notation) \\ -$\displaystyle \log x$ & Natural logarithm of $x$ \\ -$\displaystyle \sigma(x)$ & Logistic sigmoid, $\displaystyle \frac{1} {1 + \exp(-x)}$ \\ -$\displaystyle \zeta(x)$ & Softplus, $\log(1 + \exp(x))$ \\ -$\displaystyle || \vx ||_p $ & $\normlp$ norm of $\vx$ \\ -$\displaystyle || \vx || $ & $\normltwo$ norm of $\vx$ \\ -$\displaystyle x^+$ & Positive part of $x$, i.e., $\max(0,x)$\\ -$\displaystyle \1_\mathrm{condition}$ & is 1 if the condition is true, 0 otherwise\\ -\end{tabular} -\egroup -\vspace{0.25cm} - - \subsubsection*{Acknowledgments} Use unnumbered third level headings for the acknowledgments. All @@ -194,7 +194,95 @@ \subsubsection*{Acknowledgments} \bibliographystyle{iclr2021_conference} \appendix -\section{Appendix} -You may include other additional sections here. + +\section*{Appendix} + +\section{Proofs} + +\subsection{Proof of proposition~\ref{prop:not}} + +\begin{proof} + Table \ref{not-table} is the truth table of the boolean function $\neg (x \oplus w)$. + \begin{table} + \begin{center} + \begin{tabular}{lll} + \multicolumn{1}{c}{$h(w)$} &\multicolumn{1}{c}{$h(x)$} &\multicolumn{1}{c}{$\partial\text{NOT}(h(w), h(x))$} + \\ \hline \\ + 0 & 0 & 1\\ + 1 & 0 & 0\\ + 0 & 1 & 0\\ + 1 & 1 & 1\\ + \end{tabular} + \end{center} + \caption{$\partial${NOT} is hard-equivalent to $\neg (x \oplus w)$.}\label{not-table} + + \end{table} +\end{proof} + +\subsection{Proof of proposition~\ref{prop:and}} + +\begin{proof} + Table \ref{and-table} is the truth table of the boolean function $x \wedge y$. + \begin{table} + \begin{center} + \begin{tabular}{llll} + \multicolumn{1}{c}{$h(x)$} &\multicolumn{1}{c}{$h(y)$} &\multicolumn{1}{c}{$\partial\text{AND}(h(x), h(y))$} &\multicolumn{1}{c}{$h(\partial\text{AND}(h(x), h(y)))$} + \\ \hline \\ + 1 & 1 & 1 & 1\\ + 1 & 0 & 1/4 & 0\\ + 0 & 1 & 1/4 & 0\\ + 0 & 0 & 0 & 0\\ + \end{tabular} + \end{center} + \caption{$\partial${AND} is hard-equivalent to $x \wedge y$.}\label{and-table} + + \end{table} +\end{proof} + +\subsection{Proof of proposition~\ref{prop:or}} + +\begin{proof} + Table \ref{or-table} is the truth table of the boolean function $x \vee y$. + \begin{table} + \begin{center} + \begin{tabular}{llll} + \multicolumn{1}{c}{$h(x)$} &\multicolumn{1}{c}{$h(y)$} &\multicolumn{1}{c}{$\partial\text{OR}(h(x), h(y))$} &\multicolumn{1}{c}{$h(\partial\text{OR}(h(x), h(y)))$} + \\ \hline \\ + 1 & 1 & 1 & 1\\ + 1 & 0 & 3/4 & 1\\ + 0 & 1 & 3/4 & 1\\ + 0 & 0 & 0 & 0\\ + \end{tabular} + \end{center} + \caption{$\partial${OR} is hard-equivalent to $x \vee y$.}\label{or-table} + + \end{table} +\end{proof} + +\subsection{Proof of proposition~\ref{prop:implies}} + +\begin{proof} + Table \ref{implies-table} is the truth table of the boolean function $x \Rightarrow y$. + \begin{table} + \begin{center} + \begin{tabular}{llll} + \multicolumn{1}{c}{$h(w)$} &\multicolumn{1}{c}{$h(x)$} &\multicolumn{1}{c}{$\partial\text{IMPLIES}(h(w), h(x))$} &\multicolumn{1}{c}{$h(\partial\text{IMPLIES}(h(w), h(x)))$} + \\ \hline \\ + 1 & 1 & 3/4 & 1\\ + 1 & 0 & 0 & 0\\ + 0 & 1 & 1 & 1\\ + 0 & 0 & 3/4 & 1\\ + \end{tabular} + \end{center} + \caption{$\partial${IMPLIES} is hard-equivalent to $w \Rightarrow x$.}\label{implies-table} + + \end{table} +\end{proof} + +\subsection{Proof of proposition~\ref{prop:majority}} + +\begin{proof} +todo +\end{proof} \end{document} From 2ed7989a41f0cd7be2da1de38877b3d3a695fced Mon Sep 17 00:00:00 2001 From: Ian Wright Date: Thu, 9 Mar 2023 09:30:14 +0000 Subject: [PATCH 049/128] more concise definitions --- docs/db.tex | 170 ++++++++++++++++++++++++++-------------------------- 1 file changed, 86 insertions(+), 84 deletions(-) diff --git a/docs/db.tex b/docs/db.tex index a477df6..6b4ff2c 100644 --- a/docs/db.tex +++ b/docs/db.tex @@ -32,6 +32,7 @@ \newtheorem{theorem}{Theorem} \newtheorem*{definition}{Definition} \newtheorem{prop}{Proposition} +\newtheorem{lemma}{Lemma} \iclrfinalcopy % Uncomment for camera-ready version, but NOT for submission. @@ -53,7 +54,7 @@ \section{Related work} \section{$\partial\mathbb{B}$ nets} \begin{definition}[Soft-bits and hard-bits] -A {\em soft-bit} is a real value in the range $[0,1]$ and a {\em hard-bit} is a boolean value in the set $\{0,1\}$. A soft-bit, $x$, is {\em high} if $x>1/2$, otherwise it is {\em low}. +A {\em soft-bit} is a real value in the range $[0,1]$ and a {\em hard-bit} is a boolean value from the set $\{0,1\}$. A soft-bit, $x$, is {\em high} if $x>1/2$, otherwise it is {\em low}. \end{definition} \begin{definition}[Hardening] @@ -76,96 +77,75 @@ \subsection{Differentiable boolean functions} Weights are trainable soft-bits. A high weight implies the corresponding operation is masked out and therefore inactive. -\begin{definition} -$\partial\text{NOT}: [0, 1]^{2} \rightarrow [0,1]$ is the function, +Define \begin{equation*} - \partial\text{NOT}(w, x) = 1 - w + x (2w - 1)\text{,} + \begin{aligned} + \partial\text{NOT}: [0, 1]^{2} &\to [0,1], \\ + (w, x) &\mapsto 1 - w + x (2w - 1)\text{,} + \end{aligned} \end{equation*} where $w$ is a weight and $x$ is a soft-bit value. -\end{definition} - -\begin{prop}\label{prop:not} - $\partial${NOT} is hard-equivalent to the boolean function -$\neg (x \oplus w)$. -\end{prop} +$\partial${NOT} is hard-equivalent to the boolean function $\neg(x \oplus w)$ (proposition \ref{prop:not}). If the weight is high then $\partial${NOT} is hard-equivalent to the boolean identity function; otherwise it is hard-equivalent to $\neg$. In consequence, we can learn to logically not, or simply pass through, the input value $x$. -If the weight is high then $\partial${NOT} is hard-equivalent to the boolean identity function; otherwise it is hard-equivalent to $\neg$. In consequence, we can learn to logically not, or simply pass through, the input value $x$. - -\begin{definition} -$\partial\text{AND}: [0,1]^{2} \rightarrow [0,1]$ is the function, - \begin{equation*} - \partial\text{AND}(x, y) = +Define +\begin{equation*} +\begin{aligned} +\partial\text{AND}: [0,1]^{2} &\to [0,1], \\ + (x, y) &\mapsto \begin{cases} 1/2 + 1/2(x + y)(m - 1/2) & \text{if } 2m > 1 \\ m + 1/2(x + y)(1/2 - m) & \text{otherwise,} \end{cases} - \end{equation*} - where $m=\min(x,y)$, and $x$ and $y$ are soft-bit values. -\end{definition} - -\begin{prop}\label{prop:and} - $\partial${AND} is hard-equivalent to the boolean function $x \wedge y$. -\end{prop} +\end{aligned} +\end{equation*} +where $m=\min(x,y)$, and $x$ and $y$ are soft-bit values. +$\partial${AND} is hard-equivalent to the boolean function $x \wedge y$ (proposition \ref{prop:and}). -\begin{definition} -$\partial\text{OR}: [0,1]^{2} \rightarrow [0,1]$ is the function, - \begin{equation*} - \partial\text{OR}(x, y) = - \begin{cases} +Define +\begin{equation*} +\begin{aligned} +\partial\text{OR}: [0,1]^{2} &\to [0,1], \\ +(x, y) &\mapsto +\begin{cases} 1/2 + 1/2(x + y)(m - 1/2) & \text{if } 2m > 1 \\ - m + 1/2(x + y)(1/2 - m) & \text{otherwise,} - \end{cases} - \end{equation*} - where $m=\max(x,y)$, and $x$ and $y$ are soft-bit values. -\end{definition} - -\begin{prop}\label{prop:or} - $\partial${OR} is hard-equivalent to the boolean function $x \vee y$. -\end{prop} +m + 1/2(x + y)(1/2 - m) & \text{otherwise,} +\end{cases} +\end{aligned} +\end{equation*} +where $m=\max(x,y)$, and $x$ and $y$ are soft-bit values. +$\partial${OR} is hard-equivalent to the boolean function $x \vee y$ (proposition \ref{prop:or}). -\begin{definition} -$\partial\text{IMPLIES}: [0,1]^{2} \rightarrow [0,1]$ is the function, - \begin{equation*} - \partial\text{IMPLIES}(w, x) = \partial\text{OR}(x, 1-w)\text{,} - \end{equation*} +Define +\begin{equation*} +\begin{aligned} +\partial\text{IMPLIES}: [0,1]^{2} &\to [0,1],\\ +(w, x) &\mapsto \partial\text{OR}(x, 1-w)\text{,} +\end{aligned} +\end{equation*} where $w$ is a weight and $x$ is a soft-bit value. -\end{definition} - -\begin{prop}\label{prop:implies} - $\partial${IMPLIES} is hard-equivalent to the boolean function $w \Rightarrow x$. -\end{prop} +$\partial${IMPLIES} is hard-equivalent to the boolean function $w \Rightarrow x$ (proposition \ref{prop:implies}). -Define $\operatorname{majority-index}: \mathbb{Z}_{>0} \rightarrow \mathbb{Z}_{> 0}$ as $\operatorname{majority-index}(n) = 1 + \lfloor \frac{n-1}{2}\rfloor$. +Define $\operatorname{majority-index}: \mathbb{Z}_{>0} \to \mathbb{Z}_{> 0}$ as $n \mapsto 1 + \lfloor \frac{n-1}{2}\rfloor$. -Define $\operatorname{select}: [0,1]^n \times {1, 2, \ldots, n} \rightarrow [0,1]$ as $\operatorname{select}({\bf x}, i) = x_{i}$. +Define $\operatorname{select}: [0,1]^n \times {1, 2, \ldots, n} \to [0,1]$ as $({\bf x}, i) \mapsto x_{i}$. -Define $\operatorname{majority-bit}: [0,1]^n \rightarrow [0,1]$ as $$\operatorname{majority-bit}({\bf x}) = \operatorname{select}( \operatorname{sort}({\bf x}), \operatorname{majority-index}(\lvert{\bf x}\rvert))\text{,}$$ where $\operatorname{sort}$ sorts the elements of a vector in ascending order. +Define $\operatorname{majority-bit}: [0,1]^n \to [0,1]$ as ${\bf x} \mapsto \operatorname{select}( \operatorname{sort}({\bf x}), \operatorname{majority-index}(\lvert{\bf x}\rvert))$, where $\operatorname{sort}({\bf x})$ sorts the elements of ${\bf x}$ in ascending order. -Define $\operatorname{majority-delta}: [0,1]^n \rightarrow [0,1]$ as -$$\operatorname{majority-delta}({\bf x}) = \bar{\bf x} \times \left| \operatorname{majority-bit}({\bf x}) - 1/2\right|\text{.}$$ +Define $\operatorname{majority-delta}: [0,1]^n \to [0,1]$ as +${\bf x} \mapsto \bar{\bf x} \times \left| \operatorname{majority-bit}({\bf x}) - 1/2\right|$. -\begin{definition} -$\partial\text{MAJORITY}: [0,1]^{n} \rightarrow [0,1]$ is the function, - \begin{equation*} - \partial\text{MAJORITY}({\bf x}) = +\begin{equation*} +\begin{aligned} +\partial\text{MAJORITY}: [0,1]^{n} &\to [0,1], \\ +{\bf x} &\mapsto \begin{cases} 1/2 + \delta & \text{if } m > 1/2 \\ m + \delta & \text{otherwise,} \end{cases} - \end{equation*} - where ${\bf x}$ is a vector of soft-bits, $m = \operatorname{majority-bit}({\bf x})$ and $\delta = \operatorname{majority-delta}({\bf x})$. -\end{definition} - -\begin{prop}\label{prop:majority} - $\partial${MAJORITY} is hard-equivalent to the boolean majority function, -\begin{equation*} -\text{MAJ}(x_{1}, \dots, x_{n}) = - \begin{cases} - 1 & \text{if } \sum_{i=1}^{n} x_{i} \geq n/2 \\ - 0 & \text{otherwise.} -\end{cases} +\end{aligned} \end{equation*} -\end{prop} +where ${\bf x}$ is a vector of soft-bits, $m = \operatorname{majority-bit}({\bf x})$ and $\delta = \operatorname{majority-delta}({\bf x})$. +$\partial${MAJORITY} is hard-equivalent to the boolean majority function (proposition \ref{prop:majority}). \subsection{Logical layers} @@ -176,13 +156,13 @@ \section{Experiments} \section{Conclusion} -\begin{figure}[h] -\begin{center} +%\begin{figure}[h] +%\begin{center} %\framebox[4.0in]{$\;$} -\fbox{\rule[-.5cm]{0cm}{4cm} \rule[-.5cm]{4cm}{0cm}} -\end{center} -\caption{Sample figure caption.} -\end{figure} +%\fbox{\rule[-.5cm]{0cm}{4cm} \rule[-.5cm]{4cm}{0cm}} +%\end{center} +%\caption{Sample figure caption.} +%\end{figure} \subsubsection*{Acknowledgments} @@ -199,8 +179,9 @@ \section*{Appendix} \section{Proofs} -\subsection{Proof of proposition~\ref{prop:not}} - +\begin{prop}\label{prop:not} + $\partial${NOT} is hard-equivalent to the boolean function + $\neg (x \oplus w)$. \begin{proof} Table \ref{not-table} is the truth table of the boolean function $\neg (x \oplus w)$. \begin{table} @@ -218,9 +199,11 @@ \subsection{Proof of proposition~\ref{prop:not}} \end{table} \end{proof} +\end{prop} -\subsection{Proof of proposition~\ref{prop:and}} +\begin{prop}\label{prop:and} + $\partial${AND} is hard-equivalent to the boolean function $x \wedge y$. \begin{proof} Table \ref{and-table} is the truth table of the boolean function $x \wedge y$. \begin{table} @@ -238,9 +221,10 @@ \subsection{Proof of proposition~\ref{prop:and}} \end{table} \end{proof} +\end{prop} -\subsection{Proof of proposition~\ref{prop:or}} - +\begin{prop}\label{prop:or} + $\partial${OR} is hard-equivalent to the boolean function $x \vee y$. \begin{proof} Table \ref{or-table} is the truth table of the boolean function $x \vee y$. \begin{table} @@ -258,9 +242,10 @@ \subsection{Proof of proposition~\ref{prop:or}} \end{table} \end{proof} +\end{prop} -\subsection{Proof of proposition~\ref{prop:implies}} - +\begin{prop}\label{prop:implies} + $\partial${IMPLIES} is hard-equivalent to the boolean function $w \Rightarrow x$. \begin{proof} Table \ref{implies-table} is the truth table of the boolean function $x \Rightarrow y$. \begin{table} @@ -278,11 +263,28 @@ \subsection{Proof of proposition~\ref{prop:implies}} \end{table} \end{proof} +\end{prop} -\subsection{Proof of proposition~\ref{prop:majority}} +\begin{lemma} +$\operatorname{majority-bit}$ is hard-equivalent to the boolean majority function. +\begin{proof} + The boolean majority function, +\begin{equation*} +\text{MAJ}(x_{1}, \dots, x_{n}) = +\begin{cases} +1 & \text{if } \sum_{i=1}^{n} x_{i} \geq n/2 \\ +0 & \text{otherwise.} +\end{cases} +\end{equation*} +\end{proof} +\end{lemma} +\begin{prop}\label{prop:majority} + $\partial${MAJORITY} is hard-equivalent to the boolean majority function. \begin{proof} -todo + todo \end{proof} +\end{prop} + \end{document} From fa327a366f399ef9861f7f2452531371e97b36af Mon Sep 17 00:00:00 2001 From: Ian Wright Date: Thu, 9 Mar 2023 13:03:58 +0000 Subject: [PATCH 050/128] more --- docs/db.tex | 63 +- docs/noisy-xor-architecture.png | Bin 0 -> 32015 bytes docs/proofs.nb | 1926 +++++++++++++++++++++++++++++++ 3 files changed, 1985 insertions(+), 4 deletions(-) create mode 100644 docs/noisy-xor-architecture.png create mode 100644 docs/proofs.nb diff --git a/docs/db.tex b/docs/db.tex index 6b4ff2c..0a3da25 100644 --- a/docs/db.tex +++ b/docs/db.tex @@ -8,6 +8,8 @@ \usepackage{hyperref} \usepackage{url} \usepackage{amsthm} +\usepackage{graphicx} +\usepackage{comment} \title{$\partial\mathbb{B}$ nets: learning boolean functions with\\backpropagation} @@ -42,9 +44,8 @@ \begin{abstract} $\partial\mathbb{B}$ nets are real-valued, differentiable neural networks - trained by backpropagation that yield boolean functions with identical accuracy. - Existing approaches to neural network binarization lose accuracy. In contrast, - $\partial\mathbb{B}$ nets `harden' to boolean functions with identical semantics. Experiments demonstrate that $\partial\mathbb{B}$ nets achieve competitive accuracy on standard machine learning problems yet are significantly more compact and interpretable. + trained by backpropagation that learn discrete boolean functions. + $\partial\mathbb{B}$ nets, once trained, `harden' to boolean functions with identical semantics and therefore, unlike existing approaches to neural network binarization, retain their accuracy. Experiments demonstrate that $\partial\mathbb{B}$ nets achieve competitive performance on standard machine learning problems yet are significantly more compact (due to 1-bit weights) and interpretable (due to the logical nature of the learnt function). \end{abstract} \section{Introduction} @@ -134,6 +135,7 @@ \subsection{Differentiable boolean functions} Define $\operatorname{majority-delta}: [0,1]^n \to [0,1]$ as ${\bf x} \mapsto \bar{\bf x} \times \left| \operatorname{majority-bit}({\bf x}) - 1/2\right|$. +Define \begin{equation*} \begin{aligned} \partial\text{MAJORITY}: [0,1]^{n} &\to [0,1], \\ @@ -147,13 +149,56 @@ \subsection{Differentiable boolean functions} where ${\bf x}$ is a vector of soft-bits, $m = \operatorname{majority-bit}({\bf x})$ and $\delta = \operatorname{majority-delta}({\bf x})$. $\partial${MAJORITY} is hard-equivalent to the boolean majority function (proposition \ref{prop:majority}). - \subsection{Logical layers} +Define +\begin{equation*} +\begin{aligned} +\partial\text{NOT-LAYER}: [0,1]^{n \times m} \times [0,1]^{m} &\to [0,1]^{n \times m}, \\ +({\bf W}, {\bf x}) &\mapsto +\begin{bmatrix} +\partial\text{NOT}(w_{1,1}, x_{1}) & \dots & \partial\text{NOT}(w_{1,m}, x_{m}) \\ +\vdots & \ddots & \vdots \\ +\partial\text{NOT}(w_{n,1}, x_{1}) & \dots & \partial\text{NOT}(w_{n,m}, x_{m}) +\end{bmatrix} +\end{aligned} +\end{equation*} +where ${\bf W}$ is a matrix of weights and ${\bf x}$ is a vector of soft-bits. + +%[\partial\text{NOT}({\bf W}_{1}, {\bf x}), \dots, \partial\text{NOT}({\bf W}_{n}, {\bf x})] + +Define +\begin{equation*} +\begin{aligned} +\partial\text{AND-NEURON}: [0,1]^{n} \times [0,1]^{n} &\to [0,1], \\ +({\bf w}, {\bf x}) &\mapsto \min(\partial\text{IMPLIES}(w_{1}, x_{1}), \dots, \partial\text{IMPLIES}(w_{n}, x_{n}))\text{,} +\end{aligned} +\end{equation*} +where ${\bf w}$ is vector of weights and ${\bf x}$ is a vector of soft-bits. A single AND neuron maps $n$ soft-bit inputs to a single soft-bit value. A $\partial\text{AND-LAYER}$ of $n$ neurons maps $m$ soft-bit inputs to $n$ soft-bit outputs. + +Define +\begin{equation*} +\begin{aligned} +\partial\text{OR-NEURON}: [0,1]^{n} \times [0,1]^{n} &\to [0,1], \\ +({\bf w}, {\bf x}) &\mapsto \max(\partial\text{AND}(w_{1}, x_{1}), \dots, \partial\text{AND}(w_{n}, x_{n}))\text{.} +\end{aligned} +\end{equation*} +A single OR neuron maps $n$ soft-bit inputs to a single soft-bit value. A $\partial\text{OR-LAYER}$ of $n$ neurons maps $m$ soft-bit inputs to $n$ soft-bit outputs. \section{Experiments} +\subsection{Noisy XOR} + +\begin{figure}[h] + \centering + \includegraphics[width=0.8\textwidth]{noisy-xor-architecture.png} + \caption{todo} + \label{fig:noisy-xor-architecture} +\end{figure} + +todo: weight initialization + \section{Conclusion} %\begin{figure}[h] @@ -288,3 +333,13 @@ \section{Proofs} \end{document} + +\begin{comment} +Define +\begin{equation*} +\begin{aligned} +\partial\text{AND-LAYER}: [0,1]^{n \times m} \times [0,1]^{m} &\to [0,1]^{n}, \\ +({\bf W}, {\bf x}) &\mapsto [\partial\text{AND-NEURON}({\bf W}_{1}, {\bf x}), \dots, \partial\text{AND-NEURON}({\bf W}_{n}, {\bf x})] +\end{aligned} +\end{equation*} +\end{comment} diff --git a/docs/noisy-xor-architecture.png b/docs/noisy-xor-architecture.png new file mode 100644 index 0000000000000000000000000000000000000000..12e6579b2d73299c988be407134351aef0fe4537 GIT binary patch literal 32015 zcmeEu`9IWq`~PWCr-ajj>}^Owlr3AOQiLQ+*2=z&v1DH+Z7QKic8XFGvJJynN@(n| z8^$(9vX6cLUhkoEpZosa=XC!8pYuzPb2{^Wz2DdCdR@!&`Mh3_E~_aqY-iv8+i$-y zT)c4h%5T4I%K7cLjlccA1^&ymjwp}ce)DR+c=q&FH>2Ust>Idw%ktx$_upim5IAy# zWshg6-KhYLr6f$S?ykm%?4@6Ji9XiYonZOpMJutE<>EcvJ6!oU8{eJ%Lu1p*<_&aK z-#lYh@qYQ0qm`dWKSz6-kK*G7B9x>pu2B|aaTczlau#YD&mR8YKmTWef3(1yO=hBM z)CyKLO5$LoxXnz#a^}SA6gv`rehP~s7V7Kic?2#y4aI-1Z^mZYdW+;(*7p`kVB#EW zRcspH)gL96wIu7H-z`tR!H(!1vJ%J~xfM0tpc;9C&CDsz=xVj70J%BWp$~_hAf;Odl(9s+{0%c<1-wObr6St+C2A!l z3SB5F&!*smcc&8gt1t4$WL2sC7G{fWGsg()P5OJho5>XSvc$|CT^v-$=2pX~BSW@4(%e5=396J5yNrU@e!m~@{8 zHEY({@AW1>UY@?I{lz0NS(YN4Kb#REGm_Qt#bf$MwcxjKCzQgXXI0T~uD;{vZTwZu zwN2@iHj6mJ>B+cNFXd$Il){{}QjK#9xFZL4TDIey2Gki9md3UE$^!Z(6T-&n=Lg@$ z1zsF=#jfT%osK2q75x|$iC9!VxyO%3qVk1MAN9*Zxx$KQGHko%V}Jjyj}h5@f4pf{ zw$1;xk|9}ST;y|{^{8&KhQGKI<&qPDH|!F&XsH_OE@wwHf1c1tqPX-*IJGzNU z_Tzz6vc_qP{{e54$+n^csBcW5E|z zRZTk-bWqxp9OBmZCKBV44_wjBa~biN1=AIt{PGBe^WC&nIKAkSw^?OU?ezR>uq{8F zikpK@wQ}XW7Z|oMu%Ac<_t4hZhra0+uaRk9Eict`Z#QL7^GRO*;%I)+Q2~KZ{MPJF z*{*lwSZmqDOdp!><#>fzT}f-(;lPA1GZ=}v&X1)ZscmYCerwwrqAri?P_uWiS~B8% z|M0>)37fWze#eeV_B^@S4yVYJfkVP|tZ?E6A3qxT`s^TX=!#0M{NnJL#k+gaH!XL* z&^s(B=$U0v8%wW~);#9LVFO0)8{RxybPir29c^VbIK1=V`J)4zZ)Qdd7e~WvU&OJ3 z70L?3TYn7vDB}<_{c0VxpT%vcxaaZ1%@%RqGq}MInKivmhEKOJa^_a3?ThPUmrHjC zx1&TtB&Zzr7qv*qu*HB81kt}A#EAaAVRB8r}D;c%S73 z%~+p>LHFpm#?EI--1ExM$_!K`aug;lzQcoBiZH8Y)lrhGjplkmiYz;~RWQm7AG7;j z_sT1l{#%%_k5xrQ#rR-~>+qqzX@#X8rVg{V-*b5~%qm~_qdvq)TO`%JJLk_bsjxC< z5~wb*u`GI-*Te2vS;qrepHFnG-xKYWhQsx>(~RW2A`?Y(xM#%YrQ9XwWW%Lz*JbOo1dhsNHqV2{l~+bZO?>X-z!UTpoi zmB;Hcx?9?1rp-dc7Gkezbk4&I7v?%xPBfO#nSV%G-jBZ|*p$~&;5pj_5y?M?{-N0$ zI8%$mxqX2PZ$#*}a@rSraZJ=lyOY~*ZcKDCIGJ~AP%PEDnX4;{U9J5AAaC~a_)+l!rhueI6O(>F{3U5j?UX6p@bGy-@-v5fjE_Va^-FGAO&TTAl zEq5MxN1@DvxKo(EeY-8%Qt0hzkil=m zfEg>8E$sX7h2aSf0*o5D&ICz@>eEi*a%n{?3)?v+f3E>6?eQ{Nvr;48eG;dcc&W$k z@h08wx6VV&g3^<%h?}%c4d&exVc6?5BVKS1-rZD1QXz4(N$QP~2fA049c{UfPr*Zt zG0WKk0s;{wIRA(D?$p|xR+KZi{$iNvq1OEj_H49vik{hzrsRR9i5Xumr{re=xqb%E zL@c;*%qPp=Y&A*E&2?k;<31i$t{i}y`kQ9)0hjI!$woBHZ-ws)@>rS9C> zGoJ>sUcTZMK4#K!&f#}>TD)i&AGy-^=fk+A121qYmaX|h^qMa`$v?~pPct|{`F77s zdi>|Z4wmnHWb!p!k#*-by0`|~jy`c4w|9AZVF{Y-yIC|}Kl*BejrT<%KQNu6K5GjxNW4o)FDYbEEkJ-_J zPibv?|L52&Jpsv)m%sdYt!%?l-H$IT3TL}8UAFlnSb~qLotfsoUj^6b!*Lz)&Z8Y| zO9Kk4qJr8Vj_DXWhbHNy8I{WaZx0BUaZQzmu0fD5{mq*<<^wUVsdG*x4;ZR%Z`c&P zElmYCHn#hJiO5dYU!U$z)JoQ74$;d3v(!FeJN}@k@li)n&;R!OEwk-Lx9ZO&zJC3> zf{e7v=1@W}^{bIr7~<^zhwKr#8!8j=n3K-$!|Sly;L$4CFePF;<$NLcTwI& z$1WoO|B~D&XZz{icual20p-LCTOQGyXG1;F*)N~lZvRyVi`*UFAz|J4wZoyD3txHE z2;XX8|A{U!H&-`AzwOYk^6v?L`FZm0;~rC%B!g0DZf}x&7EvVp#s4`gs+58+hIicc zU$kww2X)l{mUWLXN|T?GP2Gz(Y#kSVJC6QetA(qUj)GRF{;~YH)8J2?Qan%_LNwQ^ ztlIOda-}z)5nC-%(ZKXbR^1MB<;^$SUzQDp`I(m01pivAq;S~zh+{YI%#Y@exrJ%s zBDquatP_7#Ozn*8(Imb(=N{cbQAtf4#D-oKmQwtclRT_760T6St>1nzHBkf0brsjW z6}x`vfXUCWTvrBbz0`=Nx(3$%Lf8vx zfvz16TgTLxSE`k>3rvZRLRX^cerazdE>zSF{Q_m;Tr}kiM8c|j+jdt~MI3k6d4E~` zO?yq|NV+nnX5%m4CqW*|@EYZX)VoPn^_@fJy?(txQ}HPN1_@f>f7#oM&86_yzG-!n zXh77fb6NjUOS{WKR3-l}zf!WCIKziNdgLR|u6KSvhOCLKSweBY^y)6z>%>xg`nzJE z3op6fr?p}QuqY+s6IkGj;t|vg6X8)dz{>??<+Va0%jm=J9k`!LD-cJqOk9X#| z`<&^QK}Fkqx{$Q#YbXJ-E7uI@|7{D&>;SQKV ztf*awRA9A=OE1b}W_Ug(hOCyg+!aH=Yg=_E*079YTM;9zcU69jin7(WAU!+qi!XSr zjDY*?0&k-Mbc&9UPRj5ee-eg;*zTa zzpw!}t~&CBRmLB)84v7Q3|*I-o1J#C9^Q3F&^A9tQu}VXH`0e+U}sIaW}3`9c46B; zTa-KV0RzX(a;b<<`g5o4^~JuMbXp%RI2j~d_??t9;)hRXmmR%}pgPvw=a!vF;k*9X zigM;7?b(Z_fIo6-J}q3Ls%UC!O9a^LnK0BRniHFEyIx&?LEQl3_8BSkrC+_?aT&H~ z8Nd|-1uoFD96bi?he4V6dUaf`{l#{Cc>UV6sUlQR zI&oi$Q9=72R@O8M`#CSaM?!qL+3Qa;2nwrB7IWca!aZ8%#Bxg4N5S@V-x^5fBIY(aVRmA0O^v33)H{^C81#9I?}( z5`SxOazK*i+ejsD_b*HRA{fzwN`d6gM}S2}m;}kO1ex|2l1`Oz0!9;$07I9*Shy`Q zac{b+FH52AC&OGBHpVUC@A0Cq^q56r*T>81^ApPL{b9yN={&P1N$vwNiSCmWLgB$6 z*^F;pGb*X887xYBkQ4EE&NdpAKUv1mElN8fcEtr)!wL?rzmG=|QDSC~tvYhkt(xA4 z;sz6=s(>rG?$YHwOK$C<_RUWYM41Fi^UXWm-NH~M-eO?#LP)=?tBm72zZtho;9+Fz z_e?a^U{%Qh;y)KX#YB8CalZWTO;3Si9nSf7zv6?dwo!7PE@EwR1JO>GW=A_imbY@< zddha({L-7ELH?;wu^_IWU-ml=`*uzfYxy@Bp$-3pDI-{gL<7c_su7$p?I(UvsDH3^f@eJox(kf9p=qanq`H z;K!q-z&HuO^8i=`_>KlZ9+3ZGMm&yBXK}0AiU5-0mT2NpqO!Z+!N1Lmhn+YgJD`(` zmGoo+h!9XcBpjdG$-|H_VoTDcUw1>jxnk@=w}f9j$K`vS?|(d}t5HO6a?oTeN#oB) z<$l8w|M^kj9XIRWK?$y7B{Q09;&@FAt(5=ceexX9ZPQ=hvFlbQN(%jfcinVC!x~wX z`C_Z?zb$1WO2{nB?^TG-Er#<%w}UN8*ZdDU-t75&-+ZFC6ff;ebJS`ftYI~W&7*QJ zBtq+|?DlV#g!B8jYJT1Su2+5FYn!HrmsNy{@X7y0P;j|`fy-Wc*9cry1sYdGI1*lL)AH5K9$Bl z_N)j&^x&6im1x7>Bx$Jp+_;nNSXcLiO@HqIQfYYVV|QRu+%tc^c@lD@{djy@f!h!w zaL=N7oEtSL6XiVW{TXIU9PkP1!q|}wB;Bn)SFyfM*R87^gO(BSEV^EfAl0mqwtq+2oo}C8ex*3yIpiEp=Z(2_kg^6 z1GdlIglqlu4Ru=))dm8h9{z1XYi8#iLX2@GwQ)LCiE3ee`EowND&mgh3r@gnN2Orf z-!JJN8o9lR@mQP}bsNS#roS-mVVGX4L<^P=pTM|&hMesmpwy{l|MX#R38+tf52K@` z9Bw)mp~8d>gO^lPRI0b}M_&i#oh|eFr;U@1n(7g#oX+Mf+qQ4OuE(r;#B?t@`5q{g zYQwU+n;15N_Fx(^o_ojEZO#yXKJ>B=y-Y!6`ZpWI4{vwX{2L0QBAPFUF6f}+#@U9I zF`!-NKQZ}Sj&&Ckwkw#{K8|WXu|hSC_fK*M^-<+Z^5-sa4 z7PPqURUnIyUR59a(06a5&sPq~4ZmJ4XyfPEvbX5~WW~;ZPY9Y*dB0b}R#z<1zKxn# zTtt8*^D-87+;-@z%#WMpT&_zVP-;Mha_=OTVy^5t|3v?f+a=zlu;JKEFug$b_7c- z>`XP3k=5f<^=p*~mTYc%<;U%@c+DcFv`_xRy9CX*YC28<&RNMQFOJA`CcBGa=vJBy?50lQFjZ?hm z!{am8lRQiEMC*j@?py4pnzH8R{|!^7L8;)+akh%=*mD1%@_oJ>hruh_+E~-ZcN$(^ z_}OnNA`vbl?QG?{JJhhM*(u>z^oL+?2r~v_q=LIq-SI`=XKQ4}o)CPtv0|Tne7T3^ zg`;o&(Z4eQqt5PL*JpWI$*Fmd{|vE*nIk*Sn+al-BK3;Sf*Ej1l-{*gO_ z#CYWu0d>fw^@g7v=yXPuJ8Ic86qX0o5pLE#`*OV?b~#+~hN zpYIPV$WLQiK3!C&&|zZ3PtHl`GI+R2z1?LCy5o0)JAcE%J;x2iVMt!f(=B*uU10fu zn0vlm=rHr6yNoBlpS!d}(XY}X|JGnehE+qN5*(+-Dhb(2=2g{7a}eKXuBPOWJf6gS zuMyIlJTM;rN`XtpW$8f9kqrORgyw-;#8^rIhp*om`|*do#>RI6F%26pkFH=dz> zeQsYLe-7V9zrL>Yr3;agXghAN@zW&cLu=G0t$g7PLaZ^?;Is9h@o3SiPiB+0enE|R z^G^BnQvRIaR0(XgfS%JMYGU_|?)w6oiHDeWl$&gKX)|M;T{Ka~6V9g^ z84kahv=iA!qi!`QE6Zb;zS(@TE*EBL!n{4pYKiysX|8`&*VK1_s8!D6ZoFFfk(_qv z+BG(oJMDXNTUcg0lov?ZD9t#Xs*-(9nHIGYV6sbUcGZ#M$6RPOr3^WC^9_s!Q5QJo8GCj3gT8*(G3(?w9h=%UQv>yYHJ*w zh=9N~u7zc6|F~jPb7rv3hfN;>pAa1Q+l2?eTM!NL>49#0P3?+rZy-DxVZzKQQjDb%+u#rc_dS?CeQc0{VW9@8 zliMvNJ8x+^vUwV^r|z)d1{G+qvDYP9e}A&r36(DPkz7t|1DwAo?sJ+mOM{S@NR2uV z!Xjn9%yLerOJe5%2vnK`g_8DyzRwwBY5NIu74xn&ioBwuF-bF|?_PPz^AZmC#jzp` z)wUig#Di^J@#p9#>lB%^7NX!s0+X!{XGx!yiD8B=*Qi^zr}`}P@vP?7-0P3^9PKHh zFs%7-yJf$Qf8(3w`C1GGoe9K+j@Xy-L$pTq?h2NnJ0SSI19s#S$IxxRQ zY^m`rlw-K=eVLwC8mg$gIGUuJ6QB1$QqL=NDB(ltPSlAf{;_hNd~DEGb((*^w@qB4 zC2pm!i?R{qfZ>~wa^CsaH>{#t!s{Or#8h&Cb1~RZiOcz_BO7-~@0BPNHlihL|8ayp z!I-3Sl1|L``ioROXx1q1f7O}id|X|2V)GbvZb)^c}A}R z&J)$-#nJ29^8tH4T(pNQb%=iPdJ)uX-4Df(9C4`p5q}Q!mde;7IJR2YMMm$$DwFb^ z?wi!v4jY$j6twShA)>VGHf*O`sHOR#sqR$j>APDfl11|jW6E66t^H}l?8b7eFJ9w{ zjy1GK?UR9ez5Acy7*y>9)51A7t{HDMHGfn&Pzw}MRiHk!n<06Qk!vktoV7Dnhti59 z7DsZ7GZ=Pv13e&)Q~IX#-J~fup?s%VY9c`>mHYQ?3zs6w0}oO^cYnGYqTX9qbeBoK zb?97$^&NI8#Byrg(f5eFRAfW{JRN!-_1F;i1ahf@t&G29^DZXeDl13*ajC?rk<40o z!U6NStDD9zjuQCeqVYCz){TcV;e_&+QFmGE2~n zB>c${b<9G8>EirATv1I$wq;?eV~ za&`Y}gGUgN=c5TrggDW}D7*$W(YZcSl9inrsMigfrXo^sVxEi@uAUZ~N<~QAB@U_tp`J;_03z~S+Te~sL&~1M z@*qi2XB~$StQwf4t-`o{4N_3{nGoGZ>-Kv#5QQlL!8#?jL!UToeEn|IGB-r09=3|* z#o4rsk^HejmB6kvNK;3M-hT2o2ThN&5`egEdh68- zbr%1oH6ld-NrxNF8@hy8ILJ7owXuXrVR)o}EVO^&sLeW#MP}s*K@g{pTNYa-9!M&a zMofv42z2nfDPyh2m%Al4Lw*WNuY^??>C2xZD~;g>V*mAFcaA&sp7nO*UK1_~rX%~>z)>Zl~`4bb@$*f-a4k!%a zxP1Ko%u#|GD&yeYozp(Em883gdt*cc8Qbk}X&pQ8?0v)!IK=)I1;7p}Iu`hHa*Ogo zy7sfdgs+&iS071w8>=@W^^Gjy#;Jis#KZHYYpJEtXv0fex8}` zEzv0AKGNZcPf2MDR9o~D}k~oSp z4TK3#pfujwwvZ*Hz^!P1uknZW2i+U7m=*U1C>zNdr}Ibi1Tl}+p_G3Qw5jDZ&ZCqb z-8Q3ucaTHQS_lyg6pnyhS#hgN1BBKNSR>h1Nl-wb9%=40k!37lHE6cn9*7A$h@hbe z^`M#?_M+^~r=bJ8dvH5rSv%DIdm#^(KXW`rJ)cSo(W2=5Z0Qm4;75B@An%K_r4A4gnBhmF`wi1G;C0r8^A zk{)Ripp<}JKm9LV=Jr6ooEuhMh0E_=Df&5HI(>$VXq(C4;}^PP!hsgdlP3yM3gm#^ z&?wa6LG*_$kZxnVs02buKmCTkK2U77Nyj)sU4H(a zt#8k^3FB0dT}-FWP%TbdJ8~eUE6k0gw3&q&2AkX;c=TX}Uf@SJ4O~_VA&vu*xlD>x zXX$ySw*O2Klg#i(vzgh#p5}?5Llib*>84F^Z5?&$^arPJ!Wu zZg~GSl-rDvUZfCoPuX^h!F?Dr#D}753z;u`LC*BN9afw+mw=^rRt`{E4vv#1#K2zTq;PlF)`|O zb>rI}2CW+h=*Wr0>+2$7*YTuM5Q<%bp_pn!oNZUM>@o@9l5-3eK(Uo%qjdtQs;5Es zlKs%PQQQFciUdL{HH5;n-!VluKFy!N9hI?E8$iMdh0UkYg<{&^1fnohRGAecQlN-TurE|2eT^L;j%tCS zEVBX^AhmofzB+%vBSkM;4DgPjlX2}oLWnQz&yw;1L#_tEy)vrcK8U$58rl#k zKw~FbEUBS2p}hqowoy0rMaRCvn)dq9Jvgo#pywyip0`GudIH z>c6;$6Pn-ft8f%}%SVt75K*{`OmMHYzf|tgMG|yx?wL7=Fg&Tmk2e{WAMSdgr>DgL z2@By)5h&Nm^V>eNVx9W~q~Wa2mT{oNQP?&v>vcaAptYAByMl+Vzn`L+L;46iNF}OMSsU1BnP^A7T9X8KljpQk<_lgmR$q zqSr3JSC5m&6X_8J-)fnG^T#`mfQ?iJ^_*k~G2-c8;D^#RqC{^aaCOImWU0T8y=UPo zVKuyk04j{o+5QX>LHgISt(noOF9|7)*I%N#SW^hzk5EB6okI5?ti969rb?`ZTLMg{ z)JM8@oTLWE|5iQ*V6DhxX58}8c~gdE5dndV+L|*v7s`G8S4~D?oWpOhHQmH<3Dgnh zhyqn@5rMta+&6er5cNC+rVFo7zc=qK<~R&fU?K{MdP35iNa<R7$ zH?;J|ceo#J8MhERs#UzcS9*7CWuhdNFLP&($dYvTe4UGtM91QWQuBkEL+UNEpxhD0 zd1WOU@5+2Wlzg>R)O}MeX{bIy$+5$phYUk|6~?`CQ!&U4134Svl?79CKWD*YS+7A3 z0J;1F3I<|h2?h!PHXU|iQdqKgjQ;3$?dz;-n4%D89{Ijw(B>ivgs69g3rJo>qOfhQ*pHQ zxeSCCpf=}A=IvA7GsVUrScZYQMQ8yC(>l$);KU0vp~y z9@W^`tN`%cj~<5?ns81QG#*K$Xepxtbi{YdMa>vP9`h`JS0b1Z#06HLGw3kSAu}FG z8|bHW=|<;m0Ob#r+q{i&5tHn&S1f%`=ns1enfGYmR~bYqGx+U|isNvN^gy)fCjq0K zqyY=zgsy+zB2ny!BJt2A*7lh{P<{KKO3QA42dN?vq{v8ht3U8fVEs*W=o(*Be{{S% zoy@!S?!gL9ZI$yyGhLWf)8J1~@^LGXd5`M3{78EHf~Uy29q^6{OeqIWUU@}e_QJT0 zu;shAS5P!6u~(UR$RNfxO7H5l8}*N`oFvgQeylz!TT6_4V(@%ztXwtHw;z2MPe6@J z@uh{P)flb_=tC=A4Rm2q4KrQgDIVI;N<>L(8{ml{Cik5;+oz2{sT!;=b}EF}4NzSK z@cWMHlBs&1B3W|x#OmBDLfGCk8W`}ejYzsmEXB%Q9<1F}SdZm`KOuvrdrVtT0+bu6 zsV4oVH(dc_Eh_R&r3W~O zaVg9b)Pq-<%zBuoLaBjVO5_-r?Bn(S&IMpP^MK?DFUJR-`@O@~UT_0sg1B1y(qgEV zV)2hS4?xscF*>}yN&GrG^ayfeib}fj8)F9QD(xjm4|g7{qGL6N9Zj^i zKO5oM7a)0Qs5vFX#2MI)Lw!e0-`!OV!(SeK){P`K_0-f5lxO;tm@9jgZKLdn%{Z{d z?`7c4)d&Vg_YN>TS<(m{IbXtq&=W4^w^(BzBq=OIVGa>Td~wgcP(dBOWXHY`EOoIU z{ar**og^}fr9nx>QP>-D9ZV*}ik5hO5)$v^~FvnU46SJPzfcYFuN+d`Oe)? zC8Z$l>ZpR-UV{C?u>TQ6$4a3PlkDkceg4@~g^=Kw!-k->l?^;B1(Nk+n3c)6kO8m7 z-`DDU=-=7A4L74r_L(pmQqSO&?$A;OwkZ?!0L7L3;s{;uRib?M$o=?@dyD3-CLk#b zn35dpsVn53aQ*a~_uW_K2daZGOD39ndXb!xUcvsJ-0APwRz46=AEn~EcW_G8-5Mix zLh$o*bw@%CEk5Xr9D6{iiK)!La}O$(f5pRAmxri>NooQ+P$>QD!~=-7xp=M#=|4ks z><0&c=&=SuC5+k^c0$(YaU5&Ey``qgdaYvr8i$8Wn?P@e3{zhETjJYDUVsLdZY^DxO#TiJ@UwX&#BpcDk z$if%{L9R>wi~{Xg(^?eRsS`M6CECdt*gTpBq?D>-+~yMR-7xv6YSaNWrsx>y&|ECm z+nl(fRr!45-GNSP$EXa0vMbEx8+aT6*N!y)Y}SKh(@8DDHzM{N|><9j9PzOi0%pC z|7{;BEN+>#Q4c@%s(B<>Mfl>6Z{%i~P)uq~`Up3%{dyF7ijX1|PqT)__#dtx+S@+f zD5+4$s;*b!K|v3uzv9S$WL3tRu8oDV;%~g-b7yt7T0@De)H^lZT^<)u;2pO(hCiTQ zZeX}s3>SdA5ibfSRH~L&LB;zH-NEER*MRCt0;-BZ=X`a|GDd91i^GY|qjm&$E*SmQ z@IWza0$g37pKiH_eKfNZFcHC(j&+u2!kB1^8xy&2ajrh{{^!)3kqg8~GIsJW$ioaE zT9Y{w8>vDHzwP`SUUINBRgmgc)pTxO2yt(Z*c<`7+=(?NV$)Cz{<55C-95o+r;=2o z6fp7_L6LoZ%H{j{q{>x4jyyY1TW;X1W~bCD@!E2ER^Hz;y|6i<1m5k4$l+|TDxboR z3AJu0&CzfdfZ$BPUePA+WB6%Ps>kq8Dev6mwHzL^@tKT!#FjrZqLh_XVRc%T0}z+CI!xKe z7zp8{nBSksP8PTz>QZZ%{_|u7)QM z1DB#6*at9oX+Hj5;aY8pP-L6M6Rq#)(fFm)3-C7XAqW6jxIxdhA|{V4yrFNc0i}I` z_OWBO@ z+&Ur7VN6oKz5uRcQAN01SYLj?9iYp$!oj_oe@=7U z{?|4Dwh6FUBIIO(3_(2Ngw+)>a|c2OQez>Ene%-?I*@?1?C}Om< z)11EhhHQIUh2jc3#$RqVGu)_Pd;6K=UkSFJhdxPupq^t{@?@i2$5ZYyN*3z(xlO_eOT`wA zRexMIu;lM*A^L<{LWH%EY?mq_4>D3Kw6)V8O3=>Gk;aOXt{Qd`nM?H=w?AZiqF zt2>qzOZd$~6-sq;?O);Mdi_I;|41*A2&=Z(--1DSqICv`Gu7_%e87z>a2HWt4S!xC zGU>nR{>Rp<4Zs259qLYR71}Fl$5~F{y@bciWX4rzhIF7&tFHfo5l;zN0%}AfIl|YZ z%eps0>tOgH0w_M&`ALK!9$tl;NmK`FVnR@;_AF75C++p#ig_8N)fdPOgeO4#@CU-^ z5p&SBQ3ZfC-%>hbWc&WhikHV?R)d=UV@X>@klej|Gc${8!v-4W9{UOLt{G&V5F-NA zRo$$QHtfd*6@j)r#CQv67YrK!z$NS646O%PMtdP@<@8#ixJIL$jUd*MS^O{D-vWhi zAYD%DRcI^HR59^uBluFi)Bm$nZLY zmBuDqvfvV!7i)U5*gH>IqS~Q>Gxv88vH3m&L&H|s*pS>)KPiZ{kI$d_rqXhaH!E=l zhJhoB0$A5TLTRsfUpk#5CElmL+g!VLjmr5IaX;j?gfXw#PFD(O>@L=L>vj)37EC>M zcPrD3i?bDxF^-l)jlu!4Y6Ce(a9=iv<01gOs*zn?nj|E=8&^3ZZ#4wDC8G!$Gb45T zdZh|kmoU7;qMw~F3uLMR(F-H zhX>?E;N}zczr2VP{5xO_4mpJb{=K9QAZZTH=Ydiq)YWs-aso{?Vl~{FPKXjffEzY> zuiR^RH&M(Z1hI`(A_+-oUAdBB-Cq$3gE98urs>OjOT;q*sei+U2{D>O@e&d!W zf-naC3?WdN%SrnHE4OeGo%r&`>3uw}Xj>m&1q0SXxLOXARKB_U&T!GoaR@v(1f3k4 zS%)j#P1-WdD8K_q0I1S*QbCDB(k>bwAqMO^h;0bd(kg{Q5~XYM{-1J@wIHAqrEZ5n zVW#QyQ#`vvfCLQ!Z>&?GMfJUka8_vT6c~#J$ZJpleR|IM7Lam(S1o#f)t(`x0Cp%N zZWn4Gnhg9g*HHr}ATIdI>1UmIK!!z$_ZL%#HuV|EcDnzXI zv53Fwe~{;wk*q(4h&;_95~!B_fJALc!mN6)>_Wc`qQT7Ep2O+Rq*F;rgCWH004?PA zzt9ivyQgk%ldzP2RRll25s=)4^E3s`#?(Ehx_l<1x(>~XYi~uj-*6=kK* zq4Cozi?4pAiR*JSKcz>s3Ma?jox~v7aUE{Tx~{CO9IR#QU8ICSal2~5>36Obie{rA z>roACXfeiA=f9sufJx(^)rH@^X-;A`3i0$(;O^1sR08bTBTw#XG-gqs)XxADAr?pB zwEVYq!^WfQQw{U^`ZApcYG{gok%?UkAjn!ZVGOeT#Js_6&lVPgiD}LDA8Wch4GJ=; zLza?*`UIb>2e6q6A4j22@PoBdE&}c@sthI~l$Sn9D+R$8%|YbbUrpn7_%rluAFs`( z{Hbn2j;R}6TrWp z5ze{izf;GpAqP%wA8I9twjoD=n?tVB_~9rW%^2v#s(w6jJ*+}fpweo=#e+T zzsf+g*)%fO^N|04H;rW36E+h@sqWjRmu|lDckS{HEBfO3U1qDWPaqEIWDuR9w0Uk= zKGZ}65w|cS4=ZYP{rLcP-bI)jw0a?8T!ZO^daIvH1~ik34|ZJSV*=}_P%jFXL>`8X}XQwa?zce&o0-7_=kBV#E^B?M-wFD!dQhG-) z{8D#=-UrI}A*R;I^)m6``6n0nuyZF+-spHluDV3#SGX7`AUrY24Ez8>!jyrfj3*u_ zgTh-Cx~*y?4KL-u=_j}x9lgs;_I}`VWli`Lm$26c;l2%?zxHFpM^*3jH z*57z3-itHxV4&22`Kb?yiCSmxeik(wg*2%u&$S4^r<)G5TOVDRU$5Bwx)gRz(5YkJ zHW6VFYjyJ0_sb3>#S#u79Rr8^IkRorFNQJ!`ZOEOZZT2`Y#76=dXlmkJ7RtHk6UNX zUDXB@WHjCD=zotneuPc`pD66U(#>vGoKuaopQ~1~SCfXUXQR@04jTNfj|e+iMCeD9 znb*2e>gOANT-tq3J$_6)b|+niEn${Zd#DMYc^gvUZ?FGuV`7&d8jt_@X07*}R}f)` zipn_U-<*mYA8v0iE_j-YXA*2(_&wYHuXi(1H>PeZ_SpEHXT^V@6FFoATpHXe^Vgip01NdH_3^U>UMn+DEy^)GOWwfxt( z>3e+%a+|8p1xUPC!g&4en^ZIow`GQ?Obg@4yWsRw3F8Q*i3Ds18mFMM5>3pL=p5kM z0sMiR=HA+IVNBoVA?d8fvGjLIhThXn%*g^gx9Uz4?tM}E z&Vz7&v@5GTUK;#&C&u4<^o7Rf3vcp1FGGH+SOsLUDT}bdSL4wD8Za*4gobGqYHJb{ zl&%FK&2Z~o1ic9Um~>*%LQ|SsjwB>CM5H`xuOYIi?=wNa0m?`JI1_|* zR^iKq%MXu%UiAz$sSQXrYtYlBn&NvRg1*aetM?D_Ti%wZwcmIN+ty>5oi0S)@(GZ` zo`CyN`b8!f7b*~Twt|y8!q2BEv4`_v`ENpodC#HLbo3TF5tZ>@UG6LAs9-)^_ofP0 zu^sWLg9|$!5zfNBilsA!-iuUYP!`nE#JwFLL$!mHT;%N2rdZM^x@E`S>!3pVgsB$9 ztyBQ{9yV^pmb#;u<0z2Xh?Kj=b^o6l0nKYZ@?Op<5NFN7-0FdYNMb|e0;^I}8#6@z zyK`3c0G#rgWwxo;-D@eFhek5FTl9W;L@4Ogwd_Ym!{Cr=1uL#Q3~3(p31-mOEs|Tg z?29*;L)={AHBwv?51;-Nb!4w!ihd4dZTQtUY3Qcre+cCeG-Mx?>^FBZU$UFH$Y%Tk zx*njI(AQtZAwU50Y+TQ(MNKrpm?FNWlcR2tPbol}FLj#@`6Ls{YHHkmGXrupJ_ZI_u`kd_wBH%ih5jYod8torf2L zOLE8|0dR*cpULjo_#VwpWCAdVj>?6&tFZ}VpC!};;t<}?m7dYiWn)`jTAHj4F`gRV zHVQ1z)1?f*#ZQoc*7c}2zdU?=jyirg6ZDTlxR&%p3AoO3Mce4q+L*+?sz~ul1E3Vv zlrI7`?uBO%$Ix+4PfDb3voX0v?}x4Wf|9eJLydE28i zyD~&9YR2lWEm#;0tF7?QcK8&=z1RO-Egn7K8Rr=%?+sU(-c8VRQj__ZXO|+<8)*!+ zhilj(Tz{ajCl2d9Vq-kyhzWg{wpBfv|2+;S#VlJU8xx|`usY{rh<$G&fhX*I zUz_;##s>=g&Z>PA8{%~)1unab6ii)lDP`6fmfzrSrzLj@=d@TCYVke^@Df(PgIzG0 zYB-ANS|sUsJ?^>ndnR|<(0T1=3m)TN+~Xq~c(qSpJUo(rWZN~hCh*tnZeobJgl>8D zHIIVQN=jE!|1vO1eDFZBeAUBektb%>GyV@KsLxDfZ(CkoxZbmgXYSNYNZiuvsmim? zflT7$+KYw_ZeF*)H+gMuWH#JQjdrRLU^GlUFg@M^yQ4p!_t6X>ED+DX!nWi)!=h@lntWC*WfiO}}=3(5Qas+u_N;J|*JTCQQ z^)7M%;Z_^8{~2&%Z_O^BysECmFg&E$dE~M&Q>>Kw)otnu%eNdxZ)368Ug-uiovEU{ z!MfSW8X1vAn9v_w%~Af*VK?0K=*Sq{^z>CYxBE`-Q&Uut9nWHG`O=NhdR%}2`_ryO za*ld`P82&y_QW+AeC)eD3s+ZJi{{Qv9FHi>OIRHRp2RSEa2X=QjNh2#a)IZACwk)p zuT!mL1taZJGre63eboEw&Q$@fLP|Y985mvEhqI}a)4A3w=(ti=38yQ!#2e1@S%*W zT5nKO-SA4{voOG=;92WQYUr0Asrw;=^2CIx`W?nV6IgZf85p<~axtCmYJ4@MW8`i&@#>!1$v4LB zgC&nP$z|rR*zxRR6vn9ih%D>dbT*Bm`I0gf)yJ#y;ud_t_dyE6d;nzlelGShb5hz? zrD=)*I=+xw)*<#CWfT~}URI}*G9$tZ7BSh2km;t4g1kcHdtyXQ9&{Pf9Dd-DwOY|( z99-U<0cG8Cer#HAu)@OoTDY{-zfxncojM)ww4=3T_kHke7<0ZZfhOT?;V!mwuFLVr z{jODThXRGE)(6NL)*yf=(pNQtzK?yJ=-D^ovC;Fz*d|=FALs_s=FElwzYB}EE8^-Xc61=;w&+^T%!9$awBPb1A2}C!SgPX`u}P4c5_E(Yir@}^DFWnS@C65ivv49ZQq4L zJ|*nI-Zf#thLxhdEAGx4VcV3xMU>VrDcNnM{M>Ef{5N+!7!?^{PaaqI{dPZ3b6ES& ztY2sQ9F3P+!SI?Ry8docYxul_&J|80A*);|cC&tAua%r$@cLcpHLs$Y=YM)|&M+djf5O zP56Do*WP%@Q>rwLSaZrtby`({X2)fiibcGJgn&-t)DRWWVfByIJJV1{{^#u{O+sb=A|CTGBx2wXOM<$&~b+}>dmRZf0<&QC=?h=!?+l|$aQ=Ofm)w?2lcJA0~!H``YZkyU{cLjU~3 zxcjM8YFZ{)v@81DCO7L+9?j>mxL0Rj3m!tXx9zB3a>EA(vZ1%5HBC71SCBFf5?;aa5^!;eU+(&F>byNX;(7Y! zBvp9-(=zvC^H#Gb#nhy^x(Dd*Uwl1NFrRBoI?m@1;mTtK!lWPMy%j?+_RAkQr6_Sl zCqQAM2RL~Gs+wNIdS+a@adP8@&pe*>S4OyaAa~Et9v(dNqgrkUnA;5u*JJZ6Yi3i( z#!{wm;-~JlE&>k_m%jjZi4@P~osu(y5vJ%fUcs1@tIsrUiDBxGGbZv7aKvN9NZOe_9F z*E&2%m_Cx!g;J?%89$81mvU8y{a-!+?PU2=@r)H=KrQLI{;k8)y1Kd`=v{RI5VpuH zuw(kgW`~bEj^<9tTOVcSXTG#H`1JH1C>FW^>l4Sj@rT`vH6On=5}HzT|1-wUfteD; z=j>oI2xY&E;}rqIs0#w=h*q8kF2@DUQdOpkR5o(mSD{Y+7Qr8E930Ny4u3j}*2SPu z>H)cGu}{kpVT*iXJZ=kpSgYVh^LVYnM*~HMO{3j*u7{UD+?>2ib*@)mK(k2r1y zzEJ5`VX_(MM82!6W_ElGCYo`W>Zev^`lN_Em8cu}XP5Ljt??VPRoNJutOx-F@12q^72Z%h#e`IqEaUI)u_O{lRC|`p2O6 z4+H^Xx(fzVvc7>|fJ(kM9C-4_QR=Gj7D|_7KlP8BTa$bTEZtu=DLKR_aP9WdaUqcu zR)$8XQ5Gz0l#KN7qctD?z6G))W+`Mj&MAseDqBjI(oowjf=WJIREZ8U~;%c^p~afM495Ng*|iAEHGkQpha>$3fK$H zzHqYo=y1&ewOo*!7Cb8N9cyxH;Ydo$WIf5*s0(Pq;c$Uqy?qZyua?&2BG&>kx$n6fHz|YgXvqQ$T1pV$;d~|vz5+k@u#r+fw>@sx9{@1Apkll) zumR$hzLluKh&O0m&VCGn{6WC|%%uKSoWbHGBqWT(0u*->zeFNmb5DN8X}HF2j2=N62Q$|+bNCN1^Y&H}-8J)4{6(kuz&wtYh`O2He<$YHn+cscF{W;PjfK=?mvcvJ< zZ^bAKPjh7lk;Bo`q?HSAhR<8GU=YYjwS~2Ifwfx`j6x4G;PVA~aK5Fl?xD6*Xi%{lvm22u(af5#%LPV?ht0ivBB+nCaAo zvjUZ;S%R!ueE9|9-QvzKn*HLL|DPqvqQhJC_KTtJf7LdNasK~#l9QGFv4o21v5x^2 zuj8(+uHQfVjzX|zEEi54YUXwC!)KP`s_TNxsH%%$fS z)obXWG3IBz>M)GNQQpJB7+0u~zA4#hL%TUi$45-Qq}^cmQCB$-9#>Sz@K8;uE!T)h z4lA+2vO7DcpAyxPtRs-bwwUzEI|SSf`jS3Ie;tr)z9X1ubs4_#UC)TN(#p&3`XC-Yqc*IHe2!Y#~O?h zXYd@G5S|wx=hZ@CMdLPr zC)g+KeHa)Ve2%%=MX#`l^#0kfSvQOIND!eV9lD~+X>TvSDJ_q{S^?e?YBwem^adNW$J!?7&(^eCVyoqt-7+vf^f9`!>K`e-#BA zI<@4EXFw8Do{i5U)&;AvS*#A>2u_0*4o%LP2QJRqW#@*rQOqy%zEV$=@?uC$f$RiP z!|>4q%1W}CpyVC=KTt!e&%&led$=cRAkXXu<36;*{HzI7#r{^XdH7O>HSxsB^pLs^ zXqIw^aD{m2Nmw*xSW7ia99l+7;Pb!50nmVLsaHYDo#HbE0#L`@aq=?PEtMckpf($C zt?fTb0Tftq_4CTgIZ?Rvq&}O;XzO2!e7NbHpeNfu-V2ocmSK$q;Loz^$S%j6)MAaK zFP}MpbX_a-0#2K=4cY>WX|yOljNYP3U245j-@(0$%yWRG7Wy|BjLy6a?}vk>tj*~& zX=+_*O6iq!_tnOgfqwjHs!rqq1gX3S=H`A$W1UD2jKjfX#DATPo#*ZyGt3=_%JnPbe2O0ItkgWU8@p_gbIy6!6Z5y1Y z4~!d9{c3zMAE=GmTrsHSWl$^vr!EhhmneRrCsmowoj*~+y0e+KTzu#aF`x`}E!vu7 z>6m>y7K^Q+aItnZNlin#^|CKP7=5B zl>bQW2K6;B78v7DAm5Gg#%L*WdVPW+AY6`t{2J>FsJGOF0N4NkIwp<2WTBH^QY1~= zHzIqj0tiIagMg(!R{Normal*) + +(* Beginning of Notebook Content *) +Notebook[{ + +Cell[CellGroupData[{ +Cell["Proofs", "Title", + CellChangeTimes->{{3.864793590384657*^9, 3.864793591864854*^9}, { + 3.867471884432931*^9, 3.867471884953972*^9}, {3.867473220069077*^9, + 3.8674732224859324`*^9}, {3.867473369958376*^9, 3.867473373851125*^9}, { + 3.8871928391476507`*^9, + 3.887192839742244*^9}},ExpressionUUID->"e16c6739-4a62-4e56-b75b-\ +c3030d8dbab8"], + +Cell[BoxData[ + RowBox[{"Get", "[", + RowBox[{"\"\\"", ",", + RowBox[{"Path", "->", + RowBox[{"SetDirectory", "[", + RowBox[{ + RowBox[{"ParentDirectory", "[", + RowBox[{"NotebookDirectory", "[", "]"}], "]"}], "<>", + "\"\\""}], "]"}]}]}], "]"}]], "Input", + CellChangeTimes->{{3.864789316910233*^9, 3.864789318413851*^9}, + 3.8647909759269857`*^9, 3.864791161343305*^9, {3.865060533686211*^9, + 3.865060534575768*^9}, {3.865654305983205*^9, 3.8656543071935663`*^9}, { + 3.866956080731056*^9, 3.86695608434475*^9}, {3.8669767464388313`*^9, + 3.866976747693492*^9}, {3.867471894979569*^9, 3.867471949782963*^9}, { + 3.867471988411284*^9, 3.867472015819126*^9}, {3.867472058275365*^9, + 3.86747207120851*^9}, 3.867472142261231*^9}, + CellLabel->"In[1]:=",ExpressionUUID->"31a3d5b7-a862-4434-bcdf-74b6c5931123"], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"?", "neurallogic`*"}]], "Input", + CellChangeTimes->{{3.887180002138702*^9, 3.887180004833652*^9}}, + CellLabel->"In[6]:=",ExpressionUUID->"00377942-043f-45eb-aea5-de4bbbeeef88"], + +Cell[BoxData[ + StyleBox[ + FrameBox[GridBox[{ + { + DynamicModuleBox[{Typeset`open$$ = True}, + PaneSelectorBox[{False-> + ButtonBox[ + RowBox[{ + + DynamicBox[FEPrivate`FrontEndResource[ + "FEBitmaps", "RightPointerOpener"]], " ", + StyleBox["neurallogic`", "InformationGridGroupHeader"]}], + Appearance->None, + BaseStyle->"InformationGridLink", + ButtonFunction:>FEPrivate`Set[Typeset`open$$, True], + Evaluator->Automatic, + Method->"Preemptive"], True-> + PaneBox[GridBox[{ + { + ButtonBox[ + RowBox[{ + + DynamicBox[FEPrivate`FrontEndResource[ + "FEBitmaps", "DownPointerOpener"], + ImageSizeCache->{10., {3., 7.}}], " ", + StyleBox["neurallogic`", "InformationGridGroupHeader"]}], + Appearance->None, + BaseStyle->"InformationGridLink", + ButtonFunction:>FEPrivate`Set[Typeset`open$$, False], + Evaluator->Automatic, + Method->"Preemptive"]}, + { + PaneBox[GridBox[{ + { + ButtonBox[ + StyleBox["BalancedSoftBits", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "BalancedSoftBits", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardAND", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardAND", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + + StyleBox["HardNetClassifyEvaluation", + "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNetClassifyEvaluation", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardNeuralMajority", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNeuralMajority", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["LogisticClip", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "LogisticClip", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic]}, + { + ButtonBox[ + StyleBox["BinaryCountToReal", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "BinaryCountToReal", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardClassificationLoss", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardClassificationLoss", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardNetClassPrediction", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNetClassPrediction", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardNeuralNAND", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNeuralNAND", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["MajorityIndex", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "MajorityIndex", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic]}, + { + ButtonBox[ + StyleBox["BlendFactor", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "BlendFactor", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardClip", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardClip", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + + StyleBox["HardNetClassProbabilities", + "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNetClassProbabilities", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardNeuralNOR", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNeuralNOR", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["NearZeroSoftBits", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "NearZeroSoftBits", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic]}, + { + ButtonBox[ + StyleBox["ClosedActions", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "ClosedActions", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardDropoutLayer", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardDropoutLayer", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardNetClassScores", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNetClassScores", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardNeuralNOT", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNeuralNOT", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["NeuralAND", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "NeuralAND", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic]}, + { + ButtonBox[ + StyleBox["ConditionAction", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "ConditionAction", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["Harden", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "Harden", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardNetFunction", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNetFunction", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardNeuralOR", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNeuralOR", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["NeuralHardeningLayer", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "NeuralHardeningLayer", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic]}, + { + ButtonBox[ + StyleBox["ConditionActionLayers", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "ConditionActionLayers", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardeningBackward", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardeningBackward", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardNetTransformWeights", "InformationGridButton"], + + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNetTransformWeights", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardNeuralRealLayer", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNeuralRealLayer", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["NeuralOR", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "NeuralOR", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic]}, + { + ButtonBox[ + StyleBox["DifferentiableHardAND", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "DifferentiableHardAND", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardeningForward", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardeningForward", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardNeuralAND", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNeuralAND", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardNeuralReshapeLayer", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNeuralReshapeLayer", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["OpenActions", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "OpenActions", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic]}, + { + ButtonBox[ + + StyleBox["DifferentiableHardIfThenElse", + "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "DifferentiableHardIfThenElse", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardeningLayer", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardeningLayer", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardNeuralANDorOR", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNeuralANDorOR", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardNeuralTransposeLayer", "InformationGridButton"], + + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNeuralTransposeLayer", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + + StyleBox["RandomBalancedNormalSoftBits", + "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "RandomBalancedNormalSoftBits", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic]}, + { + ButtonBox[ + + StyleBox["DifferentiableHardIfThenElse1", + "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "DifferentiableHardIfThenElse1", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardenNet", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardenNet", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardNeuralCatenateLayer", "InformationGridButton"], + + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNeuralCatenateLayer", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardNeuralXOR", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNeuralXOR", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["RandomNormalSoftBits", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "RandomNormalSoftBits", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic]}, + { + ButtonBox[ + + StyleBox["DifferentiableHardIfThenElse2", + "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "DifferentiableHardIfThenElse2", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardIfThenElse", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardIfThenElse", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardNeuralChain", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNeuralChain", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardNOR", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNOR", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["RandomUniformSoftBits", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "RandomUniformSoftBits", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic]}, + { + ButtonBox[ + StyleBox["DifferentiableHardNOT", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "DifferentiableHardNOT", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardMajority", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardMajority", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardNeuralCount", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNeuralCount", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardNOT", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNOT", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["RealEncoderDecoder", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "RealEncoderDecoder", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic]}, + { + ButtonBox[ + StyleBox["DifferentiableHardOR", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "DifferentiableHardOR", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardNAND", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNAND", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardNeuralDecisionList", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNeuralDecisionList", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardOR", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardOR", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["RealTo1Hot", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "RealTo1Hot", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic]}, + { + ButtonBox[ + StyleBox["DifferentiableHardXOR", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "DifferentiableHardXOR", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardNetBooleanExpression", "InformationGridButton"], + + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNetBooleanExpression", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardNeuralExactlyK", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNeuralExactlyK", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["InitializeBalanced", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "InitializeBalanced", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["Require", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "Require", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic]}, + { + ButtonBox[ + StyleBox["ExtractWeights", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "ExtractWeights", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardNetBooleanFunction", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNetBooleanFunction", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardNeuralFlattenLayer", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNeuralFlattenLayer", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["InitializeNearToOne", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "InitializeNearToOne", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["SoftBits", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "SoftBits", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic]}, + { + ButtonBox[ + StyleBox["GetNetArrays", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "GetNetArrays", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardNetClassBits", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNetClassBits", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + + StyleBox["HardNeuralIfThenElseLayer", + "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNeuralIfThenElseLayer", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["InitializeNearToZero", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "InitializeNearToZero", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["Soften", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "Soften", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic]}, + { + ButtonBox[ + StyleBox["GetWeights", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "GetWeights", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardNetClassify", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNetClassify", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["HardNeuralLTEK", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "HardNeuralLTEK", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["InitializeToConstant", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "InitializeToConstant", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic], + ButtonBox[ + StyleBox["SoftNOT", "InformationGridButton"], + Appearance->None, + BaseStyle->"InformationGridLink", + + ButtonData:>{ + "Info-d281f7cd-ce0e-4b18-bb5f-14b5df2fb002", { + "SoftNOT", "neurallogic`"}, False}, + ButtonNote->"neurallogic`", + Evaluator->Automatic]} + }, + DefaultBaseStyle->"Text", + + GridBoxAlignment->{ + "Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, + GridBoxItemSize->{"Columns" -> {{ + Scaled[0.19]}}}], + ImageMargins->{{10, 0}, {0, 2}}]} + }, + GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}], + FrameMargins->{{0, 0}, {8, 0}}]}, Dynamic[Typeset`open$$], + ImageSize->Automatic]]} + }, + GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, + GridBoxDividers->{"ColumnsIndexed" -> {{False}}, "RowsIndexed" -> {}}, + GridBoxSpacings->{"Columns" -> { + Offset[0.27999999999999997`], { + Offset[0.5599999999999999]}, + Offset[0.27999999999999997`]}, "Rows" -> { + Offset[0.2], { + Offset[0.8]}, + Offset[0.2]}}], + BaseStyle->"InformationTitleFrame"], "InformationGridPlain"]], "Output", + CellChangeTimes->{3.887180005367757*^9}, + CellLabel->"Out[6]=",ExpressionUUID->"ca726769-b346-48ac-904e-96315b43c747"] +}, Open ]], + +Cell[BoxData[ + RowBox[{ + RowBox[{"h", "[", "x_", "]"}], ":=", + RowBox[{"If", "[", + RowBox[{ + RowBox[{"x", ">", + RowBox[{"1", "/", "2"}]}], ",", "1", ",", "0"}], "]"}]}]], "Input", + CellChangeTimes->{{3.887193033873515*^9, 3.8871930414401293`*^9}}, + CellLabel->"In[38]:=",ExpressionUUID->"3dc483cd-1a21-474e-9d9b-7f59d47cd801"], + +Cell[CellGroupData[{ + +Cell["NOT", "Section", + CellChangeTimes->{{3.887192854921034*^9, + 3.887192855113987*^9}},ExpressionUUID->"8e390d9c-f567-494b-a0d0-\ +1efd7c157c99"], + +Cell[BoxData[ + RowBox[{ + RowBox[{"f", "[", + RowBox[{"w_", ",", "x_"}], "]"}], ":=", + RowBox[{"1", "-", "w", "+", + RowBox[{ + RowBox[{"(", + RowBox[{ + RowBox[{"-", "1"}], "+", + RowBox[{"2", " ", "w"}]}], ")"}], " ", "x"}]}]}]], "Input", + CellChangeTimes->{{3.887192954454529*^9, 3.887192962883155*^9}}, + CellLabel->"In[48]:=",ExpressionUUID->"ab21144c-98ed-4bc9-b1fc-e6eab0263ec0"], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"h", "/@", + RowBox[{"{", + RowBox[{ + RowBox[{"f", "[", + RowBox[{"1", ",", "1"}], "]"}], ",", + RowBox[{"f", "[", + RowBox[{"1", ",", "0"}], "]"}], ",", + RowBox[{"f", "[", + RowBox[{"0", ",", "1"}], "]"}], ",", + RowBox[{"f", "[", + RowBox[{"0", ",", "0"}], "]"}]}], "}"}]}]], "Input", + CellChangeTimes->{{3.8871901662941933`*^9, 3.887190191232834*^9}, { + 3.887192969804278*^9, 3.887192977784906*^9}, {3.8871930545071993`*^9, + 3.887193097546914*^9}}, + CellLabel->"In[49]:=",ExpressionUUID->"22aa237a-dbaa-423d-85b5-5b4ff6635216"], + +Cell[BoxData[ + RowBox[{"{", + RowBox[{"1", ",", "0", ",", "0", ",", "1"}], "}"}]], "Output", + CellChangeTimes->{{3.8871901690915422`*^9, 3.887190191799479*^9}, + 3.887191153953327*^9, 3.8871929785768423`*^9, {3.8871930556715384`*^9, + 3.887193065116001*^9}, 3.887193099851315*^9}, + CellLabel->"Out[49]=",ExpressionUUID->"985b9733-2377-4dc4-b8ec-fbf20ee628dc"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{ + RowBox[{"ResourceFunction", "[", "\"\\"", "]"}], "[", + RowBox[{ + RowBox[{"Not", "[", + RowBox[{"Xor", "[", + RowBox[{"w", ",", "x"}], "]"}], "]"}], ",", + RowBox[{"{", + RowBox[{"w", ",", "x"}], "}"}]}], "]"}]], "Input", + CellChangeTimes->{{3.8871910053712053`*^9, 3.8871910100668707`*^9}, { + 3.8871910530833673`*^9, 3.887191077566078*^9}}, + CellLabel->"In[50]:=",ExpressionUUID->"6cf6b364-7822-4eca-9285-0f72ca4f85c9"], + +Cell[BoxData[ + TagBox[GridBox[{ + {"w", "x", + RowBox[{"!", + RowBox[{"(", + RowBox[{"w", "\[Xor]", "x"}], ")"}]}]}, + { + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False], + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False], + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False]}, + { + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False], + ItemBox["False", + Background->RGBColor[1, 0.85, 0.85], + StripOnInput->False], + ItemBox["False", + Background->RGBColor[1, 0.85, 0.85], + StripOnInput->False]}, + { + ItemBox["False", + Background->RGBColor[1, 0.85, 0.85], + StripOnInput->False], + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False], + ItemBox["False", + Background->RGBColor[1, 0.85, 0.85], + StripOnInput->False]}, + { + ItemBox["False", + Background->RGBColor[1, 0.85, 0.85], + StripOnInput->False], + ItemBox["False", + Background->RGBColor[1, 0.85, 0.85], + StripOnInput->False], + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False]} + }, + AutoDelete->False, + FrameStyle->GrayLevel[0.5], + GridBoxAlignment->{ + "Columns" -> {Right, Right, {Left}}, "Rows" -> {{Center}}}, + GridBoxDividers->{ + "Columns" -> {{True}}, "ColumnsIndexed" -> {-2 -> AbsoluteThickness[3]}, + "Rows" -> {{True}}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + GridBoxSpacings->{"Columns" -> {{Automatic}}, "Rows" -> {{1}}}], + "Grid"]], "Output", + CellChangeTimes->{3.887191088001392*^9, 3.8871911562879543`*^9, + 3.8871929796569138`*^9, 3.887193066051948*^9, 3.887193101226165*^9}, + CellLabel->"Out[50]=",ExpressionUUID->"0c07cb5a-ddd8-4701-9402-b05fb6aefeeb"] +}, Open ]] +}, Open ]], + +Cell[CellGroupData[{ + +Cell["AND", "Section", + CellChangeTimes->{{3.887192854921034*^9, + 3.8871928636330957`*^9}},ExpressionUUID->"aae9c8ca-0191-436f-9977-\ +a00ef17060bc"], + +Cell[BoxData[ + RowBox[{ + RowBox[{"f", "[", + RowBox[{"x_", ",", "y_"}], "]"}], ":=", + RowBox[{"Module", "[", + RowBox[{ + RowBox[{"{", + RowBox[{"m", "=", + RowBox[{"Min", "[", + RowBox[{"x", ",", "y"}], "]"}]}], "}"}], ",", "\[IndentingNewLine]", + RowBox[{"If", "[", + RowBox[{ + RowBox[{ + RowBox[{"2", "m"}], ">", "1"}], ",", "\[IndentingNewLine]", + RowBox[{ + FractionBox["1", "2"], "+", + RowBox[{ + FractionBox["1", "2"], + RowBox[{"(", + RowBox[{"x", "+", "y"}], ")"}], "*", + RowBox[{"(", + RowBox[{"m", "-", + FractionBox["1", "2"]}], ")"}]}]}], ",", "\[IndentingNewLine]", + RowBox[{"m", "+", + RowBox[{ + FractionBox["1", "2"], + RowBox[{"(", + RowBox[{"x", "+", "y"}], ")"}], + RowBox[{"(", + RowBox[{ + FractionBox["1", "2"], "-", "m"}], ")"}]}]}]}], + "\[IndentingNewLine]", "]"}]}], "\[IndentingNewLine]", "]"}]}]], "Input",\ + + CellChangeTimes->{{3.887192868869769*^9, 3.887192940293351*^9}}, + CellLabel->"In[51]:=",ExpressionUUID->"22895057-e1d1-41c2-80b2-57dde1a50fb5"], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"{", + RowBox[{ + RowBox[{"f", "[", + RowBox[{"1", ",", "1"}], "]"}], ",", + RowBox[{"f", "[", + RowBox[{"1", ",", "0"}], "]"}], ",", + RowBox[{"f", "[", + RowBox[{"0", ",", "1"}], "]"}], ",", + RowBox[{"f", "[", + RowBox[{"0", ",", "0"}], "]"}]}], "}"}]], "Input", + CellChangeTimes->{{3.887193046061488*^9, 3.887193047094839*^9}, + 3.8871931080627747`*^9, 3.887193247092787*^9}, + CellLabel->"In[54]:=",ExpressionUUID->"b708a848-d1c8-47b2-9c1a-473efc8630eb"], + +Cell[BoxData[ + RowBox[{"{", + RowBox[{"1", ",", + FractionBox["1", "4"], ",", + FractionBox["1", "4"], ",", "0"}], "}"}]], "Output", + CellChangeTimes->{ + 3.887192990069903*^9, {3.8871930477109222`*^9, 3.887193068547625*^9}, + 3.8871931086988373`*^9, 3.887193247460602*^9}, + CellLabel->"Out[54]=",ExpressionUUID->"9f41507b-8e7a-4e66-af45-502bc5a07228"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{ + RowBox[{"ResourceFunction", "[", "\"\\"", "]"}], "[", + RowBox[{ + RowBox[{"And", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "y"}], "}"}]}], "]"}]], "Input", + CellChangeTimes->{{3.887193075123945*^9, 3.887193078667647*^9}}, + CellLabel->"In[53]:=",ExpressionUUID->"caccb912-10d2-4737-85cf-ff531c529c38"], + +Cell[BoxData[ + TagBox[GridBox[{ + {"x", "y", + RowBox[{"x", "&&", "y"}]}, + { + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False], + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False], + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False]}, + { + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False], + ItemBox["False", + Background->RGBColor[1, 0.85, 0.85], + StripOnInput->False], + ItemBox["False", + Background->RGBColor[1, 0.85, 0.85], + StripOnInput->False]}, + { + ItemBox["False", + Background->RGBColor[1, 0.85, 0.85], + StripOnInput->False], + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False], + ItemBox["False", + Background->RGBColor[1, 0.85, 0.85], + StripOnInput->False]}, + { + ItemBox["False", + Background->RGBColor[1, 0.85, 0.85], + StripOnInput->False], + ItemBox["False", + Background->RGBColor[1, 0.85, 0.85], + StripOnInput->False], + ItemBox["False", + Background->RGBColor[1, 0.85, 0.85], + StripOnInput->False]} + }, + AutoDelete->False, + FrameStyle->GrayLevel[0.5], + GridBoxAlignment->{ + "Columns" -> {Right, Right, {Left}}, "Rows" -> {{Center}}}, + GridBoxDividers->{ + "Columns" -> {{True}}, "ColumnsIndexed" -> {-2 -> AbsoluteThickness[3]}, + "Rows" -> {{True}}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + GridBoxSpacings->{"Columns" -> {{Automatic}}, "Rows" -> {{1}}}], + "Grid"]], "Output", + CellChangeTimes->{3.8871930793454027`*^9, 3.887193109704795*^9}, + CellLabel->"Out[53]=",ExpressionUUID->"f524cecd-3a83-4987-939b-5c239090e61e"] +}, Open ]] +}, Open ]], + +Cell[CellGroupData[{ + +Cell["OR", "Section", + CellChangeTimes->{{3.887192854921034*^9, 3.8871928636330957`*^9}, { + 3.887254238166834*^9, + 3.887254238242547*^9}},ExpressionUUID->"ecbfc1dc-1226-4fd6-8ae9-\ +3eb4d7046417"], + +Cell[BoxData[ + RowBox[{ + RowBox[{"f", "[", + RowBox[{"x_", ",", "y_"}], "]"}], ":=", + RowBox[{"Module", "[", + RowBox[{ + RowBox[{"{", + RowBox[{"m", "=", + RowBox[{"Max", "[", + RowBox[{"x", ",", "y"}], "]"}]}], "}"}], ",", "\[IndentingNewLine]", + RowBox[{"If", "[", + RowBox[{ + RowBox[{ + RowBox[{"2", "m"}], ">", "1"}], ",", "\[IndentingNewLine]", + RowBox[{ + FractionBox["1", "2"], "+", + RowBox[{ + FractionBox["1", "2"], + RowBox[{"(", + RowBox[{"x", "+", "y"}], ")"}], "*", + RowBox[{"(", + RowBox[{"m", "-", + FractionBox["1", "2"]}], ")"}]}]}], ",", "\[IndentingNewLine]", + RowBox[{"m", "+", + RowBox[{ + FractionBox["1", "2"], + RowBox[{"(", + RowBox[{"x", "+", "y"}], ")"}], + RowBox[{"(", + RowBox[{ + FractionBox["1", "2"], "-", "m"}], ")"}]}]}]}], + "\[IndentingNewLine]", "]"}]}], "\[IndentingNewLine]", "]"}]}]], "Input",\ + + CellChangeTimes->{{3.8872542448006973`*^9, 3.8872542452338667`*^9}}, + CellLabel-> + "In[186]:=",ExpressionUUID->"9acf8a22-c3d5-4f2b-b139-26e62cb20ce9"], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"{", + RowBox[{ + RowBox[{"f", "[", + RowBox[{"1", ",", "1"}], "]"}], ",", + RowBox[{"f", "[", + RowBox[{"1", ",", "0"}], "]"}], ",", + RowBox[{"f", "[", + RowBox[{"0", ",", "1"}], "]"}], ",", + RowBox[{"f", "[", + RowBox[{"0", ",", "0"}], "]"}]}], "}"}]], "Input", + CellLabel-> + "In[187]:=",ExpressionUUID->"cf8760a2-f1e4-4f71-aafa-9ae1073d0041"], + +Cell[BoxData[ + RowBox[{"{", + RowBox[{"1", ",", + FractionBox["3", "4"], ",", + FractionBox["3", "4"], ",", "0"}], "}"}]], "Output", + CellChangeTimes->{3.8872542502233477`*^9, 3.887343455231943*^9}, + CellLabel-> + "Out[187]=",ExpressionUUID->"7856c7c3-f906-4659-af9f-7a44e2873a41"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{ + RowBox[{"ResourceFunction", "[", "\"\\"", "]"}], "[", + RowBox[{ + RowBox[{"Or", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "y"}], "}"}]}], "]"}]], "Input", + CellChangeTimes->{{3.887254257367319*^9, 3.887254258467719*^9}}, + CellLabel-> + "In[188]:=",ExpressionUUID->"eeedfba2-7110-4292-8326-a30cc8db93a7"], + +Cell[BoxData[ + TagBox[GridBox[{ + {"x", "y", + RowBox[{"x", "||", "y"}]}, + { + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False], + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False], + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False]}, + { + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False], + ItemBox["False", + Background->RGBColor[1, 0.85, 0.85], + StripOnInput->False], + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False]}, + { + ItemBox["False", + Background->RGBColor[1, 0.85, 0.85], + StripOnInput->False], + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False], + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False]}, + { + ItemBox["False", + Background->RGBColor[1, 0.85, 0.85], + StripOnInput->False], + ItemBox["False", + Background->RGBColor[1, 0.85, 0.85], + StripOnInput->False], + ItemBox["False", + Background->RGBColor[1, 0.85, 0.85], + StripOnInput->False]} + }, + AutoDelete->False, + FrameStyle->GrayLevel[0.5], + GridBoxAlignment->{ + "Columns" -> {Right, Right, {Left}}, "Rows" -> {{Center}}}, + GridBoxDividers->{ + "Columns" -> {{True}}, "ColumnsIndexed" -> {-2 -> AbsoluteThickness[3]}, + "Rows" -> {{True}}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + GridBoxSpacings->{"Columns" -> {{Automatic}}, "Rows" -> {{1}}}], + "Grid"]], "Output", + CellChangeTimes->{3.887254261292555*^9, 3.8873434559132233`*^9}, + CellLabel-> + "Out[188]=",ExpressionUUID->"57c373cb-5d01-42e4-a9aa-9a8f2bd4c3ac"] +}, Open ]] +}, Open ]], + +Cell[CellGroupData[{ + +Cell["dIMPLIES", "Section", + CellChangeTimes->{{3.887192854921034*^9, 3.8871928636330957`*^9}, { + 3.887254238166834*^9, 3.887254238242547*^9}, {3.8872598693639402`*^9, + 3.887259872590295*^9}, {3.887263283969906*^9, + 3.887263284929915*^9}},ExpressionUUID->"08d7ae6b-0058-465e-9ea0-\ +e74ff879f4c9"], + +Cell[BoxData[ + RowBox[{ + RowBox[{"g", "[", + RowBox[{"w_", ",", "x_"}], "]"}], ":=", + RowBox[{"f", "[", + RowBox[{"x", ",", + RowBox[{"1", "-", "w"}]}], "]"}]}]], "Input", + CellChangeTimes->{{3.8872598788527327`*^9, 3.8872598922150373`*^9}}, + CellLabel-> + "In[189]:=",ExpressionUUID->"1e450851-7f18-4882-80dc-72864ff1825b"], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"{", + RowBox[{ + RowBox[{"g", "[", + RowBox[{"1", ",", "1"}], "]"}], ",", + RowBox[{"g", "[", + RowBox[{"1", ",", "0"}], "]"}], ",", + RowBox[{"g", "[", + RowBox[{"0", ",", "1"}], "]"}], ",", + RowBox[{"g", "[", + RowBox[{"0", ",", "0"}], "]"}]}], "}"}]], "Input", + CellChangeTimes->{{3.88725990106975*^9, 3.887259906913588*^9}}, + CellLabel-> + "In[190]:=",ExpressionUUID->"95b224d9-5f9f-4624-90e0-7346d96f9785"], + +Cell[BoxData[ + RowBox[{"{", + RowBox[{ + FractionBox["3", "4"], ",", "0", ",", "1", ",", + FractionBox["3", "4"]}], "}"}]], "Output", + CellChangeTimes->{3.8872599072600727`*^9, 3.887343458588017*^9}, + CellLabel-> + "Out[190]=",ExpressionUUID->"4a9d6c7f-750f-4ebf-9a65-982a9fe34c6c"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{ + RowBox[{"ResourceFunction", "[", "\"\\"", "]"}], "[", + RowBox[{ + RowBox[{"Implies", "[", + RowBox[{"w", ",", "x"}], "]"}], ",", + RowBox[{"{", + RowBox[{"w", ",", "x"}], "}"}]}], "]"}]], "Input", + CellChangeTimes->{{3.887259954213162*^9, 3.887259999620221*^9}}, + CellLabel-> + "In[191]:=",ExpressionUUID->"c81dbb03-8f38-4b82-b876-02b9784aedad"], + +Cell[BoxData[ + TagBox[GridBox[{ + {"w", "x", + RowBox[{"w", "\[Implies]", "x"}]}, + { + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False], + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False], + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False]}, + { + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False], + ItemBox["False", + Background->RGBColor[1, 0.85, 0.85], + StripOnInput->False], + ItemBox["False", + Background->RGBColor[1, 0.85, 0.85], + StripOnInput->False]}, + { + ItemBox["False", + Background->RGBColor[1, 0.85, 0.85], + StripOnInput->False], + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False], + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False]}, + { + ItemBox["False", + Background->RGBColor[1, 0.85, 0.85], + StripOnInput->False], + ItemBox["False", + Background->RGBColor[1, 0.85, 0.85], + StripOnInput->False], + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False]} + }, + AutoDelete->False, + FrameStyle->GrayLevel[0.5], + GridBoxAlignment->{ + "Columns" -> {Right, Right, {Left}}, "Rows" -> {{Center}}}, + GridBoxDividers->{ + "Columns" -> {{True}}, "ColumnsIndexed" -> {-2 -> AbsoluteThickness[3]}, + "Rows" -> {{True}}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + GridBoxSpacings->{"Columns" -> {{Automatic}}, "Rows" -> {{1}}}], + "Grid"]], "Output", + CellChangeTimes->{{3.8872599588740587`*^9, 3.887260000131254*^9}, + 3.8873434595201817`*^9}, + CellLabel-> + "Out[191]=",ExpressionUUID->"6a86ef6b-5e4e-4dd1-ada2-c7ba42490a51"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{ + RowBox[{"ResourceFunction", "[", "\"\\"", "]"}], "[", + RowBox[{ + RowBox[{"Or", "[", + RowBox[{"x", ",", + RowBox[{"Not", "[", "w", "]"}]}], "]"}], ",", + RowBox[{"{", + RowBox[{"w", ",", "x"}], "}"}]}], "]"}]], "Input", + CellChangeTimes->{{3.88734348041336*^9, 3.887343486804093*^9}}, + CellLabel-> + "In[192]:=",ExpressionUUID->"46317eaf-a9d8-46b1-8125-7624a334afb9"], + +Cell[BoxData[ + TagBox[GridBox[{ + {"w", "x", + RowBox[{"x", "||", + RowBox[{"!", "w"}]}]}, + { + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False], + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False], + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False]}, + { + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False], + ItemBox["False", + Background->RGBColor[1, 0.85, 0.85], + StripOnInput->False], + ItemBox["False", + Background->RGBColor[1, 0.85, 0.85], + StripOnInput->False]}, + { + ItemBox["False", + Background->RGBColor[1, 0.85, 0.85], + StripOnInput->False], + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False], + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False]}, + { + ItemBox["False", + Background->RGBColor[1, 0.85, 0.85], + StripOnInput->False], + ItemBox["False", + Background->RGBColor[1, 0.85, 0.85], + StripOnInput->False], + ItemBox["True", + Background->RGBColor[0.87, 0.94, 1], + StripOnInput->False]} + }, + AutoDelete->False, + FrameStyle->GrayLevel[0.5], + GridBoxAlignment->{ + "Columns" -> {Right, Right, {Left}}, "Rows" -> {{Center}}}, + GridBoxDividers->{ + "Columns" -> {{True}}, "ColumnsIndexed" -> {-2 -> AbsoluteThickness[3]}, + "Rows" -> {{True}}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + GridBoxSpacings->{"Columns" -> {{Automatic}}, "Rows" -> {{1}}}], + "Grid"]], "Output", + CellChangeTimes->{3.887343487553802*^9}, + CellLabel-> + "Out[192]=",ExpressionUUID->"352a3d30-ecff-43ef-8f95-40ccfbdfcb04"] +}, Open ]] +}, Open ]], + +Cell[CellGroupData[{ + +Cell["dMAJORITY", "Section", + CellChangeTimes->{{3.887192854921034*^9, 3.8871928636330957`*^9}, { + 3.887254238166834*^9, 3.887254238242547*^9}, {3.8872598693639402`*^9, + 3.887259872590295*^9}, {3.887263277998085*^9, + 3.8872632802275457`*^9}},ExpressionUUID->"a2621df0-19eb-4035-9863-\ +1066a5a6bf87"], + +Cell[BoxData[ + RowBox[{ + RowBox[{"MajorityIndex", "[", "x_List", "]"}], ":=", + RowBox[{"Quotient", "[", + RowBox[{ + RowBox[{ + RowBox[{"Length", "[", "x", "]"}], "-", "1"}], ",", "2"}], + "]"}]}]], "Input", + CellChangeTimes->{{3.8872633204317017`*^9, 3.887263353136869*^9}, { + 3.887263500486972*^9, 3.887263508291638*^9}}, + CellLabel-> + "In[180]:=",ExpressionUUID->"437e01ba-cd55-49ca-a556-5d88d6fc10bb"], + +Cell[BoxData[ + RowBox[{ + RowBox[{"MajorityIndex", "[", "x_List", "]"}], ":=", + RowBox[{"Floor", "[", + RowBox[{ + RowBox[{"(", + RowBox[{ + RowBox[{"Length", "[", "x", "]"}], "-", "1"}], ")"}], "/", "2"}], + "]"}]}]], "Input", + CellChangeTimes->{{3.8872683865568953`*^9, 3.887268412416937*^9}}, + CellLabel-> + "In[182]:=",ExpressionUUID->"b7a31ca1-15c0-40a5-9f4e-43284320dd04"], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"MajorityIndex", "/@", + RowBox[{"{", + RowBox[{ + RowBox[{"{", "1", "}"}], ",", + RowBox[{"{", + RowBox[{"1", ",", "2"}], "}"}], ",", + RowBox[{"{", + RowBox[{"1", ",", "2", ",", "3"}], "}"}], ",", + RowBox[{"{", + RowBox[{"1", ",", "2", ",", "3", ",", "4"}], "}"}], ",", + RowBox[{"{", + RowBox[{"1", ",", "2", ",", "3", ",", "4", ",", "5"}], "}"}], ",", + RowBox[{"{", + RowBox[{"1", ",", "2", ",", "3", ",", "4", ",", "5", ",", "6"}], "}"}]}], + "}"}]}]], "Input", + CellChangeTimes->{{3.887263712126041*^9, 3.887263761220574*^9}}, + CellLabel-> + "In[183]:=",ExpressionUUID->"4f3dcd3c-2373-40af-a787-50388713cf17"], + +Cell[BoxData[ + RowBox[{"{", + RowBox[{"0", ",", "0", ",", "1", ",", "1", ",", "2", ",", "2"}], + "}"}]], "Output", + CellChangeTimes->{{3.8872637233346653`*^9, 3.887263761741906*^9}, { + 3.887268333016362*^9, 3.8872683416334677`*^9}, {3.887268391350646*^9, + 3.887268419990883*^9}}, + CellLabel-> + "Out[183]=",ExpressionUUID->"551d36b5-43c0-4045-b7ca-35a6cb83116b"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"Sort", "[", + RowBox[{"{", + RowBox[{"1", ",", "2", ",", "3", ",", "5"}], "}"}], "]"}]], "Input", + CellChangeTimes->{{3.887267759583805*^9, 3.887267762482505*^9}}, + CellLabel-> + "In[168]:=",ExpressionUUID->"80fc5ca8-3b53-446e-a235-1951e00e2cab"], + +Cell[BoxData[ + RowBox[{"{", + RowBox[{"1", ",", "2", ",", "3", ",", "5"}], "}"}]], "Output", + CellChangeTimes->{3.887267763123293*^9}, + CellLabel-> + "Out[168]=",ExpressionUUID->"07fa8963-9b09-4cd7-b8da-506c2f91581f"] +}, Open ]], + +Cell[BoxData[ + RowBox[{ + RowBox[{"MajorityBit", "[", "x_List", "]"}], ":=", + RowBox[{ + RowBox[{"Take", "[", + RowBox[{ + RowBox[{"Sort", "[", "x", "]"}], ",", + RowBox[{"{", + RowBox[{ + RowBox[{"MajorityIndex", "[", "x", "]"}], "+", "1"}], "}"}]}], "]"}], + "[", + RowBox[{"[", "1", "]"}], "]"}]}]], "Input", + CellChangeTimes->{{3.887263291499085*^9, 3.887263307407421*^9}, { + 3.887263568197703*^9, 3.8872636169996157`*^9}, {3.8872638303811617`*^9, + 3.887263830604273*^9}, {3.8872650075640163`*^9, 3.887265007823615*^9}}, + CellLabel-> + "In[161]:=",ExpressionUUID->"bb6986dd-8362-42aa-aad5-333d0c1082e6"], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"MajorityBit", "/@", + RowBox[{"{", + RowBox[{ + RowBox[{"{", "1", "}"}], ",", + RowBox[{"{", + RowBox[{"2", ",", "1"}], "}"}], ",", + RowBox[{"{", + RowBox[{"1", ",", "3", ",", "2"}], "}"}], ",", + RowBox[{"{", + RowBox[{"2", ",", "1", ",", "4", ",", "3"}], "}"}], ",", + RowBox[{"{", + RowBox[{"1", ",", "2", ",", "3", ",", "4", ",", "5"}], "}"}], ",", + RowBox[{"{", + RowBox[{"6", ",", "3", ",", "2", ",", "4", ",", "5", ",", "1"}], "}"}], + ",", + RowBox[{"{", + RowBox[{ + "7", ",", "6", ",", "5", ",", "4", ",", "3", ",", "2", ",", "1"}], + "}"}]}], "}"}]}]], "Input", + CellChangeTimes->{{3.887263774830868*^9, 3.887263791340356*^9}, { + 3.8872638399072237`*^9, 3.8872639323142357`*^9}}, + CellLabel-> + "In[162]:=",ExpressionUUID->"7db43080-9ab1-4290-93db-c9b56436514c"], + +Cell[BoxData[ + RowBox[{"{", + RowBox[{"1", ",", "1", ",", "2", ",", "2", ",", "3", ",", "3", ",", "4"}], + "}"}]], "Output", + CellChangeTimes->{ + 3.887263791743215*^9, {3.887263831841167*^9, 3.8872639027569838`*^9}, + 3.8872639329782333`*^9, 3.88726500914787*^9}, + CellLabel-> + "Out[162]=",ExpressionUUID->"1219545a-0fd2-4f64-8e11-aec76b2c5382"] +}, Open ]], + +Cell[BoxData[ + RowBox[{ + RowBox[{"DMajority", "[", "x_List", "]"}], ":=", + RowBox[{"Module", "[", + RowBox[{ + RowBox[{"{", + RowBox[{ + RowBox[{"mbit", "=", + RowBox[{"MajorityBit", "[", "x", "]"}]}], ",", "margin", ",", "mean", + ",", "marginDelta"}], "}"}], ",", "\[IndentingNewLine]", + RowBox[{ + RowBox[{"margin", "=", + RowBox[{"Abs", "[", + RowBox[{"mbit", "-", + RowBox[{"1", "/", "2"}]}], "]"}]}], ";", "\[IndentingNewLine]", + RowBox[{"mean", "=", + RowBox[{"Mean", "[", "x", "]"}]}], ";", "\[IndentingNewLine]", + RowBox[{"marginDelta", "=", + RowBox[{"mean", "*", "margin"}]}], ";", "\[IndentingNewLine]", + RowBox[{"If", "[", + RowBox[{ + RowBox[{"mbit", ">", + RowBox[{"1", "/", "2"}]}], ",", "\[IndentingNewLine]", + RowBox[{"Evaluate", "[", + RowBox[{ + RowBox[{"1", "/", "2"}], "+", "marginDelta"}], "]"}], ",", + "\[IndentingNewLine]", + RowBox[{"Evaluate", "[", + RowBox[{"mbit", "+", "marginDelta"}], "]"}]}], "]"}]}]}], + "\[IndentingNewLine]", "]"}]}]], "Input", + CellChangeTimes->{{3.887264012586032*^9, 3.887264144155182*^9}, { + 3.887264987171956*^9, 3.887264993258794*^9}}, + CellLabel-> + "In[163]:=",ExpressionUUID->"bb6002fe-d7c3-4fb1-a29a-118c82683476"], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"DMajority", "[", + RowBox[{"{", + RowBox[{"0.1", ",", "0.2", ",", "0.8", ",", "0.9", ",", "0.52"}], "}"}], + "]"}]], "Input", + CellChangeTimes->{{3.887264965478478*^9, 3.8872649742423058`*^9}, { + 3.887265019457057*^9, 3.887265023863069*^9}}, + CellLabel-> + "In[166]:=",ExpressionUUID->"e532dacd-01fb-468d-ae36-06efd08543a8"], + +Cell[BoxData["0.51008`"], "Output", + CellChangeTimes->{{3.88726497464977*^9, 3.8872650241801023`*^9}}, + CellLabel-> + "Out[166]=",ExpressionUUID->"26be4b0b-d71f-48ec-bde9-4bc9d373bd70"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"DMajority", "[", + RowBox[{"{", + RowBox[{"x1", ",", "x2", ",", "x3", ",", "x4", ",", "x5"}], "}"}], + "]"}]], "Input", + CellChangeTimes->{{3.887265048868321*^9, 3.887265052056212*^9}}, + CellLabel-> + "In[167]:=",ExpressionUUID->"c241e109-42ef-4883-b6e8-1780ec6b05b4"], + +Cell[BoxData[ + RowBox[{"If", "[", + RowBox[{ + RowBox[{"x3", ">", + FractionBox["1", "2"]}], ",", + RowBox[{ + FractionBox["1", "2"], "+", + RowBox[{ + FractionBox["1", "5"], " ", + RowBox[{"(", + RowBox[{"x1", "+", "x2", "+", "x3", "+", "x4", "+", "x5"}], ")"}], " ", + + RowBox[{"Abs", "[", + RowBox[{ + RowBox[{"-", + FractionBox["1", "2"]}], "+", "x3"}], "]"}]}]}], ",", + RowBox[{"x3", "+", + RowBox[{ + FractionBox["1", "5"], " ", + RowBox[{"(", + RowBox[{"x1", "+", "x2", "+", "x3", "+", "x4", "+", "x5"}], ")"}], " ", + + RowBox[{"Abs", "[", + RowBox[{ + RowBox[{"-", + FractionBox["1", "2"]}], "+", "x3"}], "]"}]}]}]}], "]"}]], "Output", + CellChangeTimes->{3.887265052362452*^9}, + CellLabel-> + "Out[167]=",ExpressionUUID->"9d5cd618-5b1e-4357-81e0-d341c675c4b7"] +}, Open ]] +}, Open ]] +}, Open ]] +}, +WindowSize->{1440., 782.25}, +WindowMargins->{{1440, Automatic}, {Automatic, 0}}, +TaggingRules-><|"TryRealOnly" -> False|>, +FrontEndVersion->"13.2 for Linux x86 (64-bit) (December 7, 2022)", +StyleDefinitions->Notebook[{ + Cell[ + StyleData[StyleDefinitions -> "Default.nb"]]}, Visible -> False, + FrontEndVersion -> "13.2 for Linux x86 (64-bit) (December 7, 2022)", + StyleDefinitions -> "PrivateStylesheetFormatting.nb"], +ExpressionUUID->"5639487d-0000-4d16-a9a2-da6a2fa136c4" +] +(* End of Notebook Content *) + +(* Internal cache information *) +(*CellTagsOutline +CellTagsIndex->{} +*) +(*CellTagsIndex +CellTagsIndex->{} +*) +(*NotebookFileOutline +Notebook[{ +Cell[CellGroupData[{ +Cell[580, 22, 346, 6, 98, "Title",ExpressionUUID->"e16c6739-4a62-4e56-b75b-c3030d8dbab8"], +Cell[929, 30, 870, 16, 29, "Input",ExpressionUUID->"31a3d5b7-a862-4434-bcdf-74b6c5931123"], +Cell[CellGroupData[{ +Cell[1824, 50, 200, 3, 29, "Input",ExpressionUUID->"00377942-043f-45eb-aea5-de4bbbeeef88"], +Cell[2027, 55, 38756, 890, 423, "Output",ExpressionUUID->"ca726769-b346-48ac-904e-96315b43c747"] +}, Open ]], +Cell[40798, 948, 340, 8, 29, "Input",ExpressionUUID->"3dc483cd-1a21-474e-9d9b-7f59d47cd801"], +Cell[CellGroupData[{ +Cell[41163, 960, 148, 3, 67, "Section",ExpressionUUID->"8e390d9c-f567-494b-a0d0-1efd7c157c99"], +Cell[41314, 965, 406, 11, 33, "Input",ExpressionUUID->"ab21144c-98ed-4bc9-b1fc-e6eab0263ec0"], +Cell[CellGroupData[{ +Cell[41745, 980, 588, 15, 29, "Input",ExpressionUUID->"22aa237a-dbaa-423d-85b5-5b4ff6635216"], +Cell[42336, 997, 364, 6, 33, "Output",ExpressionUUID->"985b9733-2377-4dc4-b8ec-fbf20ee628dc"] +}, Open ]], +Cell[CellGroupData[{ +Cell[42737, 1008, 475, 11, 29, "Input",ExpressionUUID->"6cf6b364-7822-4eca-9285-0f72ca4f85c9"], +Cell[43215, 1021, 1931, 59, 145, "Output",ExpressionUUID->"0c07cb5a-ddd8-4701-9402-b05fb6aefeeb"] +}, Open ]] +}, Open ]], +Cell[CellGroupData[{ +Cell[45195, 1086, 150, 3, 67, "Section",ExpressionUUID->"aae9c8ca-0191-436f-9977-a00ef17060bc"], +Cell[45348, 1091, 1148, 34, 190, "Input",ExpressionUUID->"22895057-e1d1-41c2-80b2-57dde1a50fb5"], +Cell[CellGroupData[{ +Cell[46521, 1129, 503, 13, 29, "Input",ExpressionUUID->"b708a848-d1c8-47b2-9c1a-473efc8630eb"], +Cell[47027, 1144, 359, 8, 47, "Output",ExpressionUUID->"9f41507b-8e7a-4e66-af45-502bc5a07228"] +}, Open ]], +Cell[CellGroupData[{ +Cell[47423, 1157, 387, 9, 29, "Input",ExpressionUUID->"caccb912-10d2-4737-85cf-ff531c529c38"], +Cell[47813, 1168, 1807, 56, 145, "Output",ExpressionUUID->"f524cecd-3a83-4987-939b-5c239090e61e"] +}, Open ]] +}, Open ]], +Cell[CellGroupData[{ +Cell[49669, 1230, 198, 4, 67, "Section",ExpressionUUID->"ecbfc1dc-1226-4fd6-8ae9-3eb4d7046417"], +Cell[49870, 1236, 1156, 35, 190, "Input",ExpressionUUID->"9acf8a22-c3d5-4f2b-b139-26e62cb20ce9"], +Cell[CellGroupData[{ +Cell[51051, 1275, 391, 12, 29, "Input",ExpressionUUID->"cf8760a2-f1e4-4f71-aafa-9ae1073d0041"], +Cell[51445, 1289, 286, 7, 48, "Output",ExpressionUUID->"7856c7c3-f906-4659-af9f-7a44e2873a41"] +}, Open ]], +Cell[CellGroupData[{ +Cell[51768, 1301, 390, 10, 29, "Input",ExpressionUUID->"eeedfba2-7110-4292-8326-a30cc8db93a7"], +Cell[52161, 1313, 1809, 57, 145, "Output",ExpressionUUID->"57c373cb-5d01-42e4-a9aa-9a8f2bd4c3ac"] +}, Open ]] +}, Open ]], +Cell[CellGroupData[{ +Cell[54019, 1376, 301, 5, 67, "Section",ExpressionUUID->"08d7ae6b-0058-465e-9ea0-e74ff879f4c9"], +Cell[54323, 1383, 334, 9, 29, "Input",ExpressionUUID->"1e450851-7f18-4882-80dc-72864ff1825b"], +Cell[CellGroupData[{ +Cell[54682, 1396, 456, 13, 29, "Input",ExpressionUUID->"95b224d9-5f9f-4624-90e0-7346d96f9785"], +Cell[55141, 1411, 286, 7, 48, "Output",ExpressionUUID->"4a9d6c7f-750f-4ebf-9a65-982a9fe34c6c"] +}, Open ]], +Cell[CellGroupData[{ +Cell[55464, 1423, 395, 10, 29, "Input",ExpressionUUID->"c81dbb03-8f38-4b82-b876-02b9784aedad"], +Cell[55862, 1435, 1847, 58, 145, "Output",ExpressionUUID->"6a86ef6b-5e4e-4dd1-ada2-c7ba42490a51"] +}, Open ]], +Cell[CellGroupData[{ +Cell[57746, 1498, 422, 11, 29, "Input",ExpressionUUID->"46317eaf-a9d8-46b1-8125-7624a334afb9"], +Cell[58171, 1511, 1807, 58, 145, "Output",ExpressionUUID->"352a3d30-ecff-43ef-8f95-40ccfbdfcb04"] +}, Open ]] +}, Open ]], +Cell[CellGroupData[{ +Cell[60027, 1575, 304, 5, 67, "Section",ExpressionUUID->"a2621df0-19eb-4035-9863-1066a5a6bf87"], +Cell[60334, 1582, 419, 11, 29, "Input",ExpressionUUID->"437e01ba-cd55-49ca-a556-5d88d6fc10bb"], +Cell[60756, 1595, 394, 11, 29, "Input",ExpressionUUID->"b7a31ca1-15c0-40a5-9f4e-43284320dd04"], +Cell[CellGroupData[{ +Cell[61175, 1610, 682, 18, 29, "Input",ExpressionUUID->"4f3dcd3c-2373-40af-a787-50388713cf17"], +Cell[61860, 1630, 367, 8, 33, "Output",ExpressionUUID->"551d36b5-43c0-4045-b7ca-35a6cb83116b"] +}, Open ]], +Cell[CellGroupData[{ +Cell[62264, 1643, 273, 6, 29, "Input",ExpressionUUID->"80fc5ca8-3b53-446e-a235-1951e00e2cab"], +Cell[62540, 1651, 218, 5, 33, "Output",ExpressionUUID->"07fa8963-9b09-4cd7-b8da-506c2f91581f"] +}, Open ]], +Cell[62773, 1659, 637, 16, 29, "Input",ExpressionUUID->"bb6986dd-8362-42aa-aad5-333d0c1082e6"], +Cell[CellGroupData[{ +Cell[63435, 1679, 857, 23, 29, "Input",ExpressionUUID->"7db43080-9ab1-4290-93db-c9b56436514c"], +Cell[64295, 1704, 351, 8, 33, "Output",ExpressionUUID->"1219545a-0fd2-4f64-8e11-aec76b2c5382"] +}, Open ]], +Cell[64661, 1715, 1313, 33, 174, "Input",ExpressionUUID->"bb6002fe-d7c3-4fb1-a29a-118c82683476"], +Cell[CellGroupData[{ +Cell[65999, 1752, 353, 8, 29, "Input",ExpressionUUID->"e532dacd-01fb-468d-ae36-06efd08543a8"], +Cell[66355, 1762, 185, 3, 33, "Output",ExpressionUUID->"26be4b0b-d71f-48ec-bde9-4bc9d373bd70"] +}, Open ]], +Cell[CellGroupData[{ +Cell[66577, 1770, 296, 7, 29, "Input",ExpressionUUID->"c241e109-42ef-4883-b6e8-1780ec6b05b4"], +Cell[66876, 1779, 862, 28, 48, "Output",ExpressionUUID->"9d5cd618-5b1e-4357-81e0-d341c675c4b7"] +}, Open ]] +}, Open ]] +}, Open ]] +} +] +*) + From 3f9af56f55317d9c11dfe9688e1b07077145cf88 Mon Sep 17 00:00:00 2001 From: Ian Wright Date: Thu, 9 Mar 2023 14:45:58 +0000 Subject: [PATCH 051/128] more --- docs/db.tex | 39 ++++++++++++++++++++++++-------- docs/noisy-xor-architecture.png | Bin 32015 -> 31110 bytes 2 files changed, 30 insertions(+), 9 deletions(-) diff --git a/docs/db.tex b/docs/db.tex index 0a3da25..9f39cd6 100644 --- a/docs/db.tex +++ b/docs/db.tex @@ -193,21 +193,42 @@ \subsection{Noisy XOR} \begin{figure}[h] \centering \includegraphics[width=0.8\textwidth]{noisy-xor-architecture.png} - \caption{todo} + \caption{$\partial\mathbb{B}$ net for the noisy-xor problem.} \label{fig:noisy-xor-architecture} \end{figure} todo: weight initialization -\section{Conclusion} +\begin{table}[] + \centering + \begin{tabular}{llllll} + \multicolumn{1}{c}{} & \multicolumn{5}{c}{accuracy} \\ + \multicolumn{1}{l|}{} & \multicolumn{1}{l|}{mean} & \multicolumn{1}{l|}{5 \%ile} & \multicolumn{1}{l|}{95 \%ile} & \multicolumn{1}{l|}{min} & \multicolumn{1}{l|}{max} \\ \hline + \multicolumn{1}{|l|}{Tsetlin} & \multicolumn{1}{l|}{99.3 +/- 0.3} & \multicolumn{1}{l|}{95.9} & \multicolumn{1}{l|}{100.0} & \multicolumn{1}{l|}{91.6} & \multicolumn{1}{l|}{100.0} \\ \hline + \multicolumn{1}{|l|}{$\partial\mathbb{B}$} & \multicolumn{1}{l|}{\textbf{97.9 +/- 0.2}} & \multicolumn{1}{l|}{\textbf{95.4}} & \multicolumn{1}{l|}{\textbf{100.0}} & \multicolumn{1}{l|}{\textbf{93.6}} & \multicolumn{1}{l|}{\textbf{100.0}} \\ \hline + \multicolumn{1}{|l|}{neural network} & \multicolumn{1}{l|}{95.4 +/- 0.5} & \multicolumn{1}{l|}{90.1} & \multicolumn{1}{l|}{98.6} & \multicolumn{1}{l|}{88.2} & \multicolumn{1}{l|}{99.9} \\ \hline + \multicolumn{1}{|l|}{SVM} & \multicolumn{1}{l|}{58.0 +/- 0.3} & \multicolumn{1}{l|}{56.4} & \multicolumn{1}{l|}{59.2} & \multicolumn{1}{l|}{55.4} & \multicolumn{1}{l|}{66.5} \\ \hline + \multicolumn{1}{|l|}{naive Bayes} & \multicolumn{1}{l|}{49.8 +/- 0.2} & \multicolumn{1}{l|}{48.3} & \multicolumn{1}{l|}{51.0} & \multicolumn{1}{l|}{41.3} & \multicolumn{1}{l|}{52.7} \\ \hline + \multicolumn{1}{|l|}{logistic regression} & \multicolumn{1}{l|}{49.8 +/- 0.3} & \multicolumn{1}{l|}{47.8} & \multicolumn{1}{l|}{51.1} & \multicolumn{1}{l|}{41.1} & \multicolumn{1}{l|}{53.1} \\ \hline + \end{tabular} + \caption{Noisy-XOR results.} + \label{tab:noisy-xor-results} +\end{table} +\begin{comment} +""" +| Technique/Accuracy | Mean | 5 %ile | 95 %ile | Min | Max | +| ------------------- | -------------- | ------- | ------- | ------ | ------ | +| Tsetlin | 99.3 +/- 0.3 | 95.9 | 100.0 | 91.6 | 100.0 | +| dB | 97.9 +/- 0.2 | 95.4 | 100.0 | 93.6 | 100.0 | +| Neural network | 95.4 +/- 0.5 | 90.1 | 98.6 | 88.2 | 99.9 | +| SVM | 58.0 +/- 0.3 | 56.4 | 59.2 | 55.4 | 66.5 | +| Naive Bayes | 49.8 +/- 0.2 | 48.3 | 51.0 | 41.3 | 52.7 | +| Logistic regression | 49.8 +/- 0.3 | 47.8 | 51.1 | 41.1 | 53.1 | +Source: https://arxiv.org/pdf/1804.01508.pdf +""" +\end{comment} -%\begin{figure}[h] -%\begin{center} -%\framebox[4.0in]{$\;$} -%\fbox{\rule[-.5cm]{0cm}{4cm} \rule[-.5cm]{4cm}{0cm}} -%\end{center} -%\caption{Sample figure caption.} -%\end{figure} +\section{Conclusion} \subsubsection*{Acknowledgments} diff --git a/docs/noisy-xor-architecture.png b/docs/noisy-xor-architecture.png index 12e6579b2d73299c988be407134351aef0fe4537..62b04b04347d5a8417f6bfb5ccfc70ff4955ee58 100644 GIT binary patch literal 31110 zcmeFZc|6qX`v-hlv?)rVVmR#~TguW{PK%U^BwGf_mYpWXE|r9g7KMl+l(iCu8Czn? zHp$M+SSCBe*kyaJ&**&5Ip61;)A#kfUeABO^WQng%-o;*bKTcQr5;5|)^fa&X(G|G)ovec#eG+JbE8I(IdI zb@f1w**#Qf^INq60Z+7Iomut;$m5sYA}{} z&qKmSpqUjhlxy$|ja&FuCg3>d)bz%5vpq$;-R#2P7i>o1!gow7RvYcoe`te}UW%^x zffIGu8qooTs4;S*iSPXE@c^!8mpvVXgdbfApU=0Z2TK;nvuz_|c0f!mpI9cZ|2&58Is0 z?S5*jY)EpG4iEQe^BN0LnECdor!hs(5kH?WawtmgFqf9-$BAg~Xw8DraZu3i+}36_eB};}}L+2&M8> zk7!D24_;+qnj0Ruqq3H(5Um7175wy&^}&h-FYlsmo!H}BHi_sa9JX!nN>B?Gs%4pP zeHw1!4_1ufSoOuo;H%BB5yE#==+2#)l#@AIGdEVnnb7@o+uzOS7d(XqcyZ#*`vicc1R6xbYtG{~Zt5}XF(V4`S2PnA5g6<8lP^B=aUyP8~Oug#@>;^o$7h4YiG zt8?3{+{bIw!W%P8gkw*qR+qYWw}1WmwU1k6Zln=&E0y+G&p0>r=&e<5dcKBSIt~5p z4CN!mKIbVqmAAN+uMUn;Nk?4z=lqWIZW7sBWmBJgSRhtr9g4o;y=IG= zv!7635XbOHN69`GHNh*!cfnmd!#Lkvw!&T>V;~-_BQ-QX)yBQJEN0_423FK#Rfp}e z^i8DV+Wl59+@$cRm%ixPE^9}SijNVKBev(`7U!p8lVc23Zmrtz;R8-9Wc%Uq<*|3S zq-AoU2jBF~t=t+1JO1%Hle$gs#e|j^aeDgn@Q5xQ4kYn|gqQP?hC71qwiH>p`Ff2M zuU28KPq<=7iCnc|`&r7Xo`%m7%6L0k-b8dRw&&Wt3(I;Hh--=?#rtzz&~X+OPck9C zZpGMseYv*UPKy$FiuKwshv^9`5e*7INxrwu>{6D^;c(mWkBsT{k`#jmibc559nL}$ zdB+()GB>R6Mf9`OSbDyvq&=0u3V?;YqCG!)%OKWkbS-(`zzfY-<%+1owv%fE4sh5Y zp`Yj>u^j?$X5Fl3-5M@~6T96AMjt)~Zk}Gn&y^sdaBmOES6T+ka7_sIF9MgpE*j8E8lW?vy)O|Gq8_$;=gu9Bp1kKTge0U)DOA^1`#cq!v#Zu`z5GzPC*o{Q4>_C=c+pVQ{!dB|!{&2N;$j&!es0Wq$y{-?90{3cEq zo@L{hiYMYp&fV7V3$rHdug~{UOyc_w2Nx|0!kbQY(cMr5p~br{@i+adrvD)#wEoVDotR#>aaU6 z+?&poxcVx9^Xyhlt(|x7DU63P?(V+wDdIT)gi-W;$<-45x$-+qxG*Pno6jjOE%{#3 z{!Pcr1U<@~Pw+^aSH1}TE}`)$d%FekR=RfPT61FQrsx2vX`fg-}Mk#uTdS&`B;G<;Z+a&1DhV)XN_ULoag3`kcx?8 zFHeNL=`^xliGCt`cj~b058OTVY1;k&w)6kC^Z%mr{|@{A=iC`w39bF7sCD;*lv>7_ zv?w{fbx2nKUy`Y6B2@Tp=)n(;byqQrx&fQWx%AgbuNL-_8cyDV)c5}-dk3%Q%b#9| za>#o9$+nTT|4YS-9LOl78>OyWTvgU!=s2W-t)9;X zaAH{=CNkG3x@R`u`@{cGjO}Y|FztGYQLfb4O&-~ z#VT$gI}L@dEp&{?|6Kip<>+oDWM0XUne5+o3rUH>`C+PgY9GAN|>L-9MCLmX11eu$0)F{|VnZW~0ILv-mzF zKIB%8H;r85dzI=nR+VT)iQ(OzL-!E#jZ#0V6#1CHcYCa!R3vTgHXPfzZI zYtgdR-(q%GC~+xIUtW-X{BXWtBn{PSv8ZzTXY2nmp2-*=TpSytdJut=I19-`*Ptog z{v)9`zZg$%Uex^Q^XyJ=J)0G8G)b9L)Dsc*8u7EH65e{gBYp2ramNjg3|kJgl;SCw zi?O?Z_6kn9zB4;PkDYN({|Zo|J>~!)7KfAfwiXl3{C(vN`6Zc;etPUb`wkIAhhZ)J zfw#Dhd{Q!9n8@($GJ5-=FjB8|g=_SKsh-_GjsJt?c+}WJB?bE+;*j;jZ3oTox&u+= zu9tdV)7XA>E6b7|`>5z=2}pG{daspk%=f4gc5CdORsYuP3F_Qvw$9<7ZNz@3WJ!&g zDl+?n7uz^p1&_BT|MW#{xiusomc7(8*EiPUldKJOI)B#TKYxMB9D1eJI>YXu`)w`B z8LoA4LpuIHJ7PCW2Dg3`kWrmHz5-xo1KM>iP)>K#&z@|}_f}_7$4d6mEaAA+)8fqS zn7Z>PQM##3C)4aHN`Qqw`(XadZ%UZw^)>j|q5T~wof|({W+%~TaQdE{eo|8grzIUzm;dx*-WFu8KR$M#E>tji`%kjLN2`JFief+Tn87RG zI8@XqKH_KT(aZG-YLOA*{sZ<@V#85Atg@efY%&qGdaO+G2c+z7rr=FU(w6`JTn4J- zZ2MNaDOnTY^5QDXD@ohxlXVQ=cH9xDwrwkz4+oS^s&bh1KKb(0;dc%Tuz!r2f&-EFl%5OFLnOcjQ63&>WUjXdbT>n!!1MMWjBdzXzphYn*u z?+HI}l}?)3f}YYGYP!S8vzGS2b^W)H+rqmL`1z~*SNvvovwQ!ZJUcHJ&(dQT#*=b0 zEvq`4NR33?@Pj>j_SD*;44q7O?(qDGHzqw8VeCL4`fjym=^JuocmF-mBJUZE(Czt2 zSlv|p;s+dzI|2@FlqaKEsQO&x2OA-L@1X46R(Ft(A%ON&Ikp@Z_U~(a*mqa^>2a@s z@GSe*$uowOO_=AW?z(0&Hq!~)=j7KQjDw!p8&tq(S;W7mv)Xi^v~U==4*v>;l#Mjc z;e5igzFJKDsk`Yp@p6us4L*V^5uzx?IS)1OW_I@9mu1}uGz<$kpsrUp4_Q`j)dv18 zmT>aH#tzKgz+n~X_%0Z!J>d^=XGw>pMBpet$5Yi#B&VzJ{%LH9e*;!9~O62 zHp?sywTEPOc-na*!jPpe)0i(4X?Om2$|A`KSi7LEir~&c%UhhzkHf-J+qbJ8!=|IA zM#>JilaC_XPgoV+;=I}M-m-r`n?Wf(@W=akp5_e7-4_$VKBNjxg#GdLbnt%8{&selrgQvQWfq|nf5z>f zzdEDmiG-0&wc^-W%&+@#m6hp4rp>6N&-=^8%dy2A{1MPK6X!#fzh9-}M$}vvF5ER+ zhlHH!u~7nQ-&k2zJNY;ER`St?rtiv~{3m#`=)wFxkbxuH)Si=b;cU&HY^j)^`Es1w zWw!8pzgTU;8UCC!fH~a-v&{J6cJ9izQVyTpny`=kJP5x%IDavR!H>Sg!vFDW1dE#W z=#~-untw*{?xUagaZb*z!*>7ayO-y*7pJ+2-V|PeB&qfz<8K&;>05XFL$RD2$OZ6) zNJpuc1?V-Un1RNO!Uj&mnN@%J(oREkc2~$iQK%n6r#Yeeo26UvcSyVbshUnVVhJ~N zhUxj7*;NtJC8$C`dHI)#!%|jU82HI@q^_P?Bb&+CN7v_?+saNc6{gQoYNKU${~^V| zcBk3bc*4u&wVOh9SNa9}D(P*5^S@5(rhwA(Zi`dtM7DbzE18nS!y zyPg=X%bw->%VV~q&)__lEj0_|}Ku)ui?T%DF0 zuN@@>M5fUk*785Elx3uiwrtjl!iBB)adxhGQ1ISvW-I@Bt#5iuNumd#Vv*a*IGblq z@4$=ji0P)bpVL_mnRI6Xx(v_nW~RVe3Z?@|oP)g;0=xdHV}xKT^j*}Ue>Q6Tg3dqM z5wVk1w1PWAX^L7qL7AHwbH~{siKvsfZ%F=u+>_0}FY~*RWtV@Ex|`abe>e?4*x5ZX zF`lzSIaMHk4jv?@rD@1_tQ@OG508YaaxDtM7t45Yxg?^*-PC?xaq11n!QOHKvB1AC zdf{(89ax>E-2uWrQV6a!GX4#C+mDS{`O=xR9Qr{e&&lhYCUb_UBiE%s(aGJW;-l#6 zzI((G_C~q27SHWw#xb(AH>o#lhX^<2bpNTjU6{ZmX*{b0ZXfezC@I$GT9UM8jAHKP z*?qBIo%j^xT7fNi5k5}715%KzUMaNSSaEi!C5!g9m!3}?h~Ka2TQ=3TT-D1p7!^KJ zw(dvP(qD#dm45hdKPo6;J`w6W7k|0+# zc#&(^?n-ARKTgBPPoCs4zN8t-VSAq8o_3T3L}gYVshDVH5{IjOvp$UE=l-_I#O1A- zqGRf>KI_@_oA-Jw%4)1kz5VYyen@n+aXG!tXCLUlGY{M*@AO<@^wX|$pqyYP#V@^= z>WT48-*(t$i*N4CRN>-KL3fm6L5C6V&EcaHfo>^ZbDBj&L<}rhj9*VxgiFdn1DG%UbI{`kcr@!*mC8kGPck5>bcpo))%Kh6bWi`J+SE&l+gvu5F(#QBeU zC4)_&a=Itr^(CE)kn$5=ee|iU{Zs3f_k9=A-`=!om9D@ilFXD?hyGTHfK+5%V>m9K zcxt_nViN+anNv-pcRR;OH=vfVG-c4$Hcf9j0)Ur`d}`qS#cQire?!_V7Wxf(c`C`# z;UZ^J{n1s0En302izg7}7pb=VqbqitfNtk7xDnPWKQc6+G_&OBgc!G{e=BmZGJ4+k zihBrZAAo{}#wBz^ZDXaMLdyS~Rtq$;Vj$iZwl|rD8jZBrX5^kJo;9ZuoVz2fVx*Nk z#v>g0i#P|DPkW$;?_f@?#Ah-L=mepK0ywO*yqz8&tOWC}_l^F-PY`<3Uiv|9o#MH_ z6;S>YPJHvTQ@EKzR+#`v?83AhY{T(<*P#|~YQE=`g}(lsUpPn2@CueMjOH}njkN`F zCcjJ?>isOxc$^0HM`Np^+sIQD#f>)%GA%m}GK1}uP`O1DH*meqK{6UH=?7wx|5lWl z8-VmHoe{Jij>`w>(qqB&>teL)wdd4;!osEr4^Gx^)>M3(3SzB1uREuNol-pl5vttD z9xb&Jl~y5w3J;TnZu5%iMy%jgbSf|!r&svve7Ij(9(+lMPgC!2)v|>ND&2F~J`Xo+ z{DRe=l7ZxS(6JJ1JT!voTLxOP28KKb-;zf+@{<%0qrfrZ2+FGBb@fDAK>m;$MBN2$ z;>a^-ji)5YI`@zJ;oKI-lT@m#zdSFV&Azi8b8%05wkp9}%Yqg5x54)#(JuYoxJ?7W znX%_Z^jDH>t9=gb5YoK2dl0JdzGG!;=F)-1i*ar%loQhL|-G}U& zq>xM^kz!J)tc>=??QP+Zy#8hdf2n8}iuYq}_}_|pzDfbMRa-bg-#b%3P9+W(*gClm zK+^q8-02U2fBJl5x{;%N$L-D2@*I5+)PxLbK=TgIEt?q0M;VTmt(h+XJvJ8gJl0{CLmE9}8 zxnX!xcNHH|e_VYo{SD(1UH>R`6@9DpmD>vQno`a@H7boL7sK3B7HqmGjW#rmi zsw9oyemDr{xeUwrgBG6~B7$e9-fOxez;g84XHv@g7;apX>1tepkuV~sLYsqBRa6Qd zg?>6k_YB3Y=5TRphuopF3cA}pN6$scK2ve-JfW;{^n;i$WPwYShjlk<*p~HG@f4=J zdX)%>-EA%6oG!&@9BhV-e5Y+af+vGIZEw?%+BZ25&{Yo1PtS)t0|w{1YZ z(M-`v>2^pUn1AM3c=+qD$O8=KPOx9=eebXOekMi1%QQBNLt-w5RZ3j;=QKDyr#?9S z8Q;djuWOebIW{{vbPg;Vl~{_BRavO;u*B2zL|1z(xIv<`WLDfb zy#||5S^K+eJU2k(LLG@XC)@n7GE#;-zfF>ky7p;Dq600jn-Qua3-8p0JeuJMl~Jh~b z2VJc}nm#Rp)9&uuwmjcvLEoUcVlMCB9U;>t9y5Vao{L7DED(rpj1bzkRWFLE3QmCq zJaZNQ2J9PvSb1jtJu-7=H*D)~{|`p}V>=Gf z@e(Ahd?A#TNy8?6Ns4TePANhj&hjSgA?3fkSB25nt@`D8)t*<%08*Q^BFTR6NP zY+X;aDN|c|Yl7|W>+^MDa5z>j)+?H^xG=ov7S8|Y!ttbw!lmf+DKC6LfN-2(SI{fbvPUuSEfKg)9#H za!~+n*`yVMOI?w3q4Y&i0ZgliIo!G}|gQ~&ASb5A1xhSTl|tHcyiIh)U9Qu>w8$E#yL%^1FDn zBWAV3vfq0?b!r}8z9ebnSg~sxq?uf|CS2)C$XuPiln@lUAsR<_PlVRZBG~AFSFBs- z+MJD(2CfCaGdceWGncETY6Ip=f+E5_c}xy&n>kk# z|3eJq$w^loF7jK!i2(J)%F>d8l)L_%{7;2_ri&|MRbnB5Ad9e~bR4+V6YEPKgq|ev z<;#yKB2sjbgg(D0Ls2a8Ej<$<2IqB>`u!L%54(dywb+aj*S;3kZpW|_cGl!6k~0e4 zF7y$+%njkgfM2i2(z;B(JH6Q8H4nTYa0Sb;@kk|5$2imk&yHR(eIVc#z~5REJkyFT zX~Z3a^M_F!KvS8?o>R%&sv`?y8_RvabD~JI%JRiO3R=V@d?}NE4oKl{lblyp+JEKyeRk z#d8*YtBsSBha+(z_GaXer&XLKoZt6yXu)8#k1t_3SNw5C<<-d3$QM#1!7ozDiA z)JL_xw>A?3m!=L=CSBE0t33iq0spC!PU1h{&v72?BUJb(@NaylqWSVwLwBhQYP=?k zjPj!LuDG3-Pds5=6SYoIyVJGVf*+R(O^Nj+6|0GDG{Qwj%2?%j1J305uLx`G)O01m z18EVPS!*3JoDczQB(-E7E6pf?C*qagD~T8*qJ0-;62TnGB-E!HwF*KbV==Yo?>4E_ z$TgY_-wA}>A+&5K$`%rdytqfO&<|JGbUp6Uc;a&MH(tz_b@SIh?Fb;$#z>poE8#*{ zdV#-pu8aP;T5p~6S>*8j5gdFf&2P6khJBpKWL&2cR>9u0LG6jaif8n>a|y0Jt&eCzhF2vNC!`E{`LRxQP1Z z^1mAkJNDl%yg1v{t3sfZGoVE}0(jt@-#XbK58g5VyF94joY@SU>ZS!a$Gk|uoD$TI zd*6Ewws{SrhW6E`gd@ZtI=%O_u&IL};dV3D_U4~o?gpo~yD^7O&uPnLjxIL~aUz~a|4QKS^ zzH$1mOPq zsp0Y(Gy|Xf6347b1b;Ozp#Gj$H*bgXHhVn5hCo`>U{jek@81DOn>@zFDhqT~{4Ah% z3+m^zh0~||J9vcmjE&)S44}lVZ+)3w+@n*_U?Zo`eqc$Jdp6_NVT)jX=$^ zPJVzGji!46gPU=!IQjgNhcXUM19GI|_#}-7`FKm0BiT)lq7%lK-_d-nLOeDPgl>i8 zU+0G$eGOYcz#9AG+wa$XP9>eXU`F3TFIEb3mh8&v;5&t3%H#txHZqxcg4geoJYxOi zNn!_Q;D=xjf?R)BxCxUPzWoS-qD++Zv@VU`AuA`%nKDA;jJJI6@gRo?SRp(@(UZD+ zwooYEvRkXqey*fafzmTkEz&i39{Pg-*cbWy89bUiHd~s~aL>gEj z?tyk4yo!Kk*%2$dHtVEk>#}>87Ozzukwns=U|%7gbDi7|4NLwu8O!y)r_Y~Xy;{O& z0;6hOBajF>kdF@_WA@iwBZ3>ha+|_6b0^2CE5!)Lm&oR%iy-NABy769+rs;7smTpEpfB+P_){_NwKZpBT8Yu5q= zhog=hYrDO6^Yj@~KrR*miya(%l_@)++xT_jl@W2W5++?-xO%$90P)vqpsQ@D1nKI% zX=IK-;b{UJGPq~wFl-@aTWj!IBx&xP8{vs(Bd_2Uy0tgbTfdOPreA^e z+4t=FL*kT!>Ya?n285B_(v%5SzNPfY;nA|04VkYVPRq4Jgz^MwyE0>3;k5B z=~J?44_A_04%n+zyxjHfBi7u730l9`9E+T&@$5*7VqsSq5UA4`ZadH_fNM|RMjE=5 zS5XG;Q8mRtB9=rxO;JqRtpJ5;1`BxSPRpW-SbVT9ho5i&yX}h69Bc}a3z}+}RIqbc zmeC%k>peSp82<8FzI&5tK;#z(65gH7LhRvEs(*fT1uhjK3#O_aKb>EVtj0*$>&Xz% zwJyV>SJKslz2EnNS6`HYu$zVb9F>ufdpz+7m8%EDrtZ++!=oL^;@Yb27MZbZyuWY?S&h=j0tT=>y50uAKIB(F3l z(CHLJ>zeBppv6Q=LQB}5>6CC(=*Y>n$I>dx^}2L%{cE5YjWo+*-iYFY+DsO|>&dwE zUtD;1`S~g~kk4p;#)XkjgLmBh@Qj4BUeksR;35QMUt%9Dkw5{HfoGT2xoNq9)#hAc-q9we;7bqle8r~0`HeiqoXRkO9`k({OCU>ikckvg%1 zPV;O9Dg0Xo2R(xI#`kUS5X5sXoi-2Wq7p#k!eKhKF|Ho?@Po@BoK3tXB_Z+B-NoOO0p#1IUF zP)l3z+rVWs{aXl6*xty;l9;*|LrCk_=hOl04$m+5PX|w4J_hndk85sp72Frn?>8wgA@=vK&=n<@a zZ>D5NcRtNO-q9-8jgw;xc`!{KPm^11UghoW8ko@34>CoK6@YjYY^3 zCZQv!8n%ktH*iV{2e^?*^qLl&L42UlKT_WHm-{((yh-)pCzfwSHEE_Ybg_NM^VuelD;#+#5Wte4KppzO|{9j zc|9tugD^(`3g|H=qkV|u44rK5m^ z)GHvta8nRl-I8n9^|vDj=vG%ncoYyS&4Smz98H8#C}vYfwyJ#9mPO(6xRuxhQfY0> zEvp#!viDbOK6sz#P0g$xoji8m_7+sK*9Xg$6WHN=e8R|qob~?PhlyMi@!NbP(mO@( zR*nzO1dVvQ}u(Yy-JfLuMwLHG=Lw_IY3INVwaEvF^XT zw<&`}rw6-D2kglk+cRAOSVa`lLJy=9-Nr;MDKYlnCx>ja zTWrMs6SCz-`P+i&V1E8GuMi6$#m{W?D}09qjJ8Ff@1(599Hy#)XnHWrTb;#_y83Eg zMs~BXmDC~m;xuOMCaTvaacJMD(d6;FQw=L{a+{%(ol3qoKMi~6ph-Tfmv|(ebOmK$5&-8!m#LL7!+-x1<2t{`J*RE zRkE#wMPWGyLEqePsYc95C!C{l8b2>T&xdH~mTY@liQI2IINz(W7CmDAfSlUxmU;QW zxM&_6vxXB%&s?7lD9srJ)1Nz^rR#&2c&4#%p-Wi}?@V{^;h4%bM$Y$Rtx1tmB(gTsSA>hk4{8UoYhiQVlFy*4T)1 z?x^tjD@`wsua*H0ec^(ndC&gBj=MYo!RuJwTF&b8&v0~W%j)PppVJ>@p?xcpcIUJr zV4R9M5`odOm?uC`Jp~n}5qR8y|Ii`M^1;98*_A=QPLg|%!;K+C{vU_ieBekOzS!MG zo%PBTtiG2lmJhc<%`F=5udgt=ZC3Y6i`2^bi6FI52W@sZ(PM0Hl-(7meHU_iKS9?G zNShQOgE98#+k@?W5%A<$$4wbyuiLrKNT2s2^aze=$4#3%Gfp>pabMN+YB6L7y+^HgO-*zdz7(U2WbnCpsTow5^cHr4lk(&$opx0vB z`kx_$mvMx$cU~?qZnU&_Qflj?F9cBx3g$*D*r$G7Ib^9m3AZj=?wv~tNd6SPl?s9! zN#PVguRpz700ZRx$=X53v1rQ{mf6W*x~N}nm+&vF!X9Pd-KU!6sOqc6#Kpy37E7%} zoy%VjOX-zkmiH2~+yRwTR}}azE|7>9MwEuO znvymAEz}>l7vmEmBfjT|0)P?3?_cA#=^c!rB2;RwSwHh_e>|HN+_D8?^P@E2YvaJX z>>_er9B=AZif<78neu<>`h!qQ@=Fs5$q`u zuxnj;5U&_@`M2Kq(8)=fF#;`4ankRXN^__N8)tCTV)e&`pmbOQQ0@|Xv`@3!k%2_P z@8|y1J)rPto?F_4SIF_GK)R#Vt72Q7HqWvc z`rDFUs%GST!49{+m9+1sC|k!sQIYWmHODgWygo5MZD-?eqQ+n zn`>yIV?I967+M$t^v5Ifr6O)V!eojhMZYWGd>+O>s5&RZB~7Y*6TZG%JQ+H-JYoMg z{LnSDPgZ;eO5k#oqtkYgYKQ&9O@JXW_OJ!}^k&zgEnA)8|6Vcd9eKOC?nP}>{_U3V z=C>d5;e%JBT7?dZd*nZvZ4QbNFejJg4i&(lh+&QcGk$v)3gij}Uja#TZ1|7GyfpTm zcfoaRnM3EY0#xRT^J_N-%=xOtUnS2C`u21dLU+KBJ+;NBDBZGpKrlwqqgHt&U223$i0;dYqP>&+z05a;lkqfLb9VM%no=`B697GZ_jd&kX-N z8)&}V`x3&b%cp?Hk_Dksv~>z>1uS-GJnpN%U*V0Gppz3_#O>wA5zkG6|P+m497tzSxCVsa3?uCz|%YUp4D@F zGTzQNLPz1KrY$*+j)=Pf`p_l3yhV_GT-=ACUf}r80QUkb%idt z`&(4_M767zBbgTY7?*V4t&bJMKDh10w`irw4d#fSXl{%m7pgeAW@%^wlC!E7Y{Ulh ziFX^X;TlHD< z`7k+8k%NE!u|BvHxn2QAb>o2TDc@R$PNlmY6{qd-+qg`^4>NXH@$6xZ8j-sm0w;Q2aW+r5Iz&n zG#oWR8*qjTR}O_6dsr7|e}1%&$j}2{#u&7kyn|!gKt$L3I_Y{Zo1ul?UQ@7f$l$_- z(c|F~M#{sD8EyP3^W%?jJ+B#dH^BsXtr%PY6K24OS+**en5rF@I5AgD22{0_?C#4` zpRO6pgG1@wXhQ=V2y;L!WP9l!%Qfxz;LnV^N^siVeOK%@=!AhBQ@6^Fb={MxmI8tf zYr+_iyc;24ArUk2Y)LBMqBsI}l4!caKP{!FxahwU?7F+olkw=mt&U^|f8x!rB|-z+ zB!On2L`P)|#!&@wsAj*D z0O2=YrC&$yfukU1sjk5V5n7!i20JS`3){QkPL7CHyrI{$&n(^x8~_qRlSTz#5Qqdn zN)=#E=%^hO!3SgceY|fj!5F#H0l4X0TfU2bbeSolsG+S6WHHzGFTLpq*c2izsVL0_ zQ6_MWi`5?*3OhsoM`>q5hP+N*JH@DygCdsmtZmsOVi*Yy@D9fUbR|*(&G3qFFOS6n zE7aG`(=#=C&?^BE`WNPBGe$L-d3Wf2;53oL{~;0}2 zyF*f!SmlFJK26VbeV~*{K>)7w(ag+v<)Jed!F0+8wxp2wbv)^w=V1s*6%!8v_>$1f zjzzaP#B=OV{=J!8qPQJEF!o!qns3P^0}ma*A<^yf<>=~2XjoYet7EH(a0?c-5rwUk zCbbGg2zQAKO$wG+Pk?FYy2^2uGyXo`S*W}j$MgrU)C8AG@)aBJ7Z*3uS|8iPfth;# z@})UPBPiVrw$hDMhEvfJ<~rl@afoE-mL$ITzTk{xew{snNc0rCxXqA(>@?C1#NlDu z2Hx7w?;YFd2lU_Ez@>Ep&FVCTFDuRPf_@6oZ>~9&k2;f40kvv+GX}8ndSmRCm8IcY zaJt00TAr4RD+?9dfc>j}xpX+?{X_ZrQv}?m;(1<|*!ta@!Vc7oj)sG90AdHU=f3y=}C6rofS}th6*OZ zztK%&t4pi%kenvjRC8}q=f4dE>^5`&Fo6uB%P95F5{WZXCTsyhvg4+Wu=n@_Vo?R~ zI#$5_d^YJ6hmHbrXFyK|9MnkQn4jU&8X&B`;Rm2Vk&)U2^ot&)Ba@;3u``p@#exDr zU?7y|81m`_3HxlCAh~ZIYKomK4OyB@`rXg+8@qR0%c9Y|BIMXN+vqu!c7v7p%^=o3 zSL?!sD zH@~$L-qHCL?1k}HLc$zu_ zWqxRuNzCwk&~ zyp9m-QgU2WGqo1!dOYXQ{seEW&cFIxmWm1PE>!*DN@h2h| zH~jI!sltoXYKY7tW8ZR!p0$peBPhAjXQEzj$?-5nJ?ToaAfsL1$9rpa{M{0j;TYXC znJY(+xbG3R=-G#`oKsK(h>Y8wD&b^^>7fFjk@jNvKBRXNnxyr&tLK9A{1&=(&u+x= z0F!axpLF7ER+;PIwk3& z@19AdO}Kd*cM^H}-(3<=AZ))Mkc(0cMbQJtCm$74;?*;j-a7b%^W&Vd^cu7(5~L^E-S?vp_rd{?oACozgc z#H?I6$cQ_f%9?9!Tj(BAlm7+Fo`@`=Z5nZY?h@i+R7zhB!7902Nk&Zanv1SwmuiM+ z(BFij@eG(&Dxt*L0b?FLQ1uSy=6p$a&AYKDpfS?rp&JBeop`2GMqR68AuYew6|zti zoRa)OR1Vz4Qs=$5Rxe@~9F!?k$p`a{{K;$NO~Xv^#NRLch(@&Vg$WE(l`*F zd{)lLN!OUtSGQ2ZEz(W+hWCy}fA^|5Fz43{ze1d96T5v_#E}o2utG00V=tC!&W4PW z0lzHS$Vb=lA^PlR(ZXM@*pXOe%%Cdy(q@Q8Fk^l`vm>7v#XZJmv(N~w%;_<(-FK$K zgi0}?ifxztFpV&3sxP0S!kd6ED*RfI^|u-0+EkzY*O!5Y)17fgr{@gueEG$UyQD+F zz|ty3p|d5ZWcCGbM+81l3MxZZNFIaQW2UBp z-u|Va{_lS*m=4NMBtYL>RfmOA|M$Hcgw(!0MjU`L8?N#5Y=_|r_!lnU$VN76HAw@V zeDgP?ZsTCcU?_LAXqz}eX1VfY$1WhH`CsR`Qtio8u7hW1xBg8kAdNtdk1B*N2+o77 z1GOpoTDeF!T$l-lGA~HiBN`4{9N5!_}VHOJ4{zR|o#oUKgxANbx6CU<_lUKH! zaP_ewooLpTdl^e40}bYGDq_f@2miv)tRbKTy78G9aMXPy=KCoC6MW6avMViwuZiVi z*(LI&NLsbiZ?%wU(O3KQ-c0)~S#yy_yvWn76uFJ@Ft9;{*I;!RFqoTy zGubx!LB3Tv}!ul5l{|kesIqcXJh#GifXa9Rt4Ir z!7r3unkF#r9fMC`HY#_K94xbWpT^6Kkrj}SwO1y|OID;-wzpQ6a~ds!Jp)ti)5)P$ zVkP)>2hx?!^X6ohH|!JYShD9L*>TM}jWhW}*{zkpV40mn=#KmwKbX-Q!CCFswW<6^ zpy8@^R_WEl?GU4ujP@nPc2^nyhES!=I0d(<-8pZJ;C9~ONg|SB^WHbrsPG{G@3H?DikN4HmIK||%gvKgp;esosZY%e{il>gzz9yWR$?({R zc0@*sHZ;n(eS4r*3HGRq4FUS&ogS-{%d4f+Y?^E8@wJ0)RJ=3TZ7yn2I`G>y60V>!7Wj;dNq{R;dKy*=4^JZ+y78xyXz7tL z-bV3}iR&Jps&#yB`Ad@20@%yr7w=dYQC!N0rDtoRrLriQ|sdU%UtOXl11eW;U zbn0JEx2P!2_k8>5)3eC{y_dosy*s8H*6{6^_OH=fx&ZT&C*hgaf>?|G?RFgp6H`2! zUMKJ$@=>Vt<>#lEx%qKW{AQfCEBU;H}56bQxwP6FCLaOO%KcY zSci2hStgl>a&0oT5H7h27A3@7s^@to1!?8Hkt$n46kXYN>#wPJHt%U{EaSsb zn7BGuEL-$QR2iq>K5C9==6||HZMqRh7V=C*>nJa#E{nDdGAwOZE?Cb$I5wecu+%+s zsTi`ZRKS>AA3d#v=&CT?9IRklBX9`cx0r()mUeA$5hAy4J2Lde)$)k;bMdYVm-=gWdQR%hQC;=RI|S0NY&^F7<+?3-DdKDV z_WYXi{QUmM#4YMpS9_Yr6yDqQ9FP4PGqW&=?Vj@4voFuZoHE8Fj}7!iE9|@NqpP=Q z=UrahSsEPN>Oiy)7(V>wdf(UY4cSu*V#H&MD)Yd&GGm=mX_}fA44Vwo z9MQ%Q0hOFmXEY@jP!`cFam5{R1K#Vg_k7ZKe(#raKE+4)@jUl(-PiiR{&&c$tLjbZ z-&fd)e0{z`pcoXo1}Y9T{RuGx90Ck+)IwkEZYO#A_btQi_Xc;)PAj!ROB4@O=B|v0 zm;vE!7ltoA#}|a@hS;`#Sr%kSvkf+8o{x)cmP-`L{!vf8%)j#f?XiJ2OHtIZfDq$0 zQ~bAp(ScSiq5KWAS7VOL+x12}GAjVv+0h|8C=uH$JOxP{&W1vb$2BIk{mLe+Xtc7$ z3_r3>zdMI>QKSr6%R0@gUG_K*YAYOiRen#CR1BOkBzi>!)6G;|S9cCayV#JZetmDy zOaE)-KOc78btJ1(CafJEjhe6BkFOPKO===*FJ{ptr%HAecpRPM)3eTyvUN?aAel(;<|>^R7VOA+^rVqu3b8iduMX(E1x+QmiI!f`j|tA^jC`UCY#6O z8RCP%W)0e9C#=^k*%6(VmNxm?&CmrKClCs;h-NfUC5O)$g#v+T@SV-F?1f+4C(J-z za;j?a=Xb5C=W>L%>gq42j$(KLCD+EvP~mY)Zu=iQC}EV>=m(pFiYhf%Ic0VWgfbXS zG+Xs4$*uSJw2|nQm$htlV0war1Q$}q;{6NweT!#5@xQ#?CKZOI(Z9LG_5lx~q|+A*vC*hPq7 z{(C_#H?k4=`y!C+sV8TR#hghpXN6U}<5r8^&jS zKG$XLOpibY%khIS755xEM4X@08P)?;VLM=}DDV>?J){Ok#!MJix=J0tqyC-c)y_AR zSi8>d?r!35$Ny}G0=2s{R1pl+e4h?OJ5AElq)tjoN(4tqcu=RXn}9G?=Xoxmh9h{?Z@vQP^Y!ryMG^5m9d~t=BYgpU1yI2Za!6DvwV!Plmyr+Y z`)d&8SBMH~5Rr&sF0=4s5Lci!m)iy++Zv;GUU(_vnVXq#@9sF<)~AJhs5fPNmlt|Z zrCsY ze4?KT>A2*uvxi45=%Y`*Nu6*ooksBa7_7bhK_%3hwb*>nSs6xFr&AGhr|9gmW;WvI zC#mJi@#?>N!Wgr5v0q#Qo7Emgq14lDwP@AKy+7Bbpu9$b&yxrXCF1)b3Ss62*U><8 zWCg{^AJoiI%9@O9Gq){RUg2s18jaRspVhcoX?41BI{W515&V_UckPIo_+-XIcZ1dC zsYlGcuo3}W_qtT0;U0tth{`QRkSDti4fkVrzGZQW{~z1PbBx1e_tZlh&2{Lb%iY>r zFsRZE1J}(cK5fxCG@|#FXWIXI5MgmO!gW|xAwT2%2QBn}&Q&|9Xj-7Is$we!#rR(1 z-8}~<59VJB?ol$bRAqn2lmAKtV5q>Xeht!bWxGful0&#MKTAZ~<>TYiUp$|dV@Rrs zF>3>xHcscB%~MiBQ`zhjIZJ81QKis+a!sxc9S%W8{%*Qm(qeQVS%R$qsPD4#p|#%j z>P&f=InF=ZS{?wE%@P7_;HQ?Hmlo@QHM6+|f~)~!47;61?NdfZMTH}-o3p3K5kM{&=_}RVr-$?a(AQ= zZwGBZZIIbihp*K^_GQ?Zz6jJnTMuvtP3RE17>_ONqN1XC+(Op-`pM(GbeiJ~3ij1v z!dJr(9=AY)Wvs4#$h&~MdT$9Jo_M3>l-T!Q*scMtuuhThr(h!-f={}+mH8MNCr;+Z zjt)GELfc6>rwF2NP(iow(&<&}GHm!)McOQqgwCO?({~?76qrm*%R3JVSKesnqmhv^ zynk{`XT}a%)>@bXfHr%2dMfZbzBtTk`SPLT``<$LR=Uo73_725yG0n3l?Ar=wnrjlC+;jEj+T3MilP8AWicv$`X(+{b-wH_hr{vYt}fcI zMH36Vo=0sxUGw-Nc;LoNnmfwg*N{KWW>@<%YnPd!0lDWxx9j4ST(`8;>-7fq?VMJZ zfbr6yp&?&)>VU%7*h}N(_ZE#`10Z+w?~Mm^9neM<*Pm*uPeKq^3J;DCzk=b#o1kY`R+p_eNstuyMvMq1J|8P8pRCt zFd^lOX_hN=(q5uaxB5R$`hUH|k2^ip)%z&kQ=IINXZoWen+yOyYVWC0(?^pvCI0zn zr>Dm0{}ty%tpU*3sQ0B6!HSxi-(;z$4lotnSqpYBL&Cz)L+$*`Eo(5OlTmAO_?kd+ zM|y}R^aL4o;lXfdul7THz663+x~}~mH42JTb}{Q-y-^DU0x5M!sT~?BC=74> zTKoe_?n|NQm?~!qca=%#hIx@$xT>%rHF#Fug%CS&X%APF0<8Bs0IerVQcs0zq0xoa z_wChRD)$46N}`*%5i;3QJcM1Wxig;gO)Rz^&BBTs0T1gRNIsq3MH|=XZeqcYdu?aO ze}A)V;+t&=AsoJ|+29-oi%&FkpTY~9d_IrIcu_CuoER*jN~PKYd5+As?WnMDRRQ2` z)qJP-H+HZBkjH`3YiO?opK>r!Zfj~gU^2@g2{+tu5mN1g$Kin_Af=(-=50@a>OuIR z%Xl~WJ`C}Ri#EeJQAH_w$6wG~K{T9opbmG_wQ9ak{+YKMF?Zqx(yAZngUGC9nOv^6 z7rcC0+R?jp=b$}RkEG6cUVHaegm7I7UhcII3;+H5Pfg%kve&rD!0+JTo5yT2XJG29 ztDl|z8t-5)I8d`^Tftxuaxd&o-*sB6RWIyp}B1A9#k2I6e^3vuC6X>=I~>kIcXm1 zMOFSVa_?lS?S`P&j%~@CwgUdo$$4XZ{%{x3_%)tj^ByE_y@hk%3n6@K^@KrgaUwZ9 z=K~BPd*~0VfMl1vq{@a-d`4;|27(bJSQZa-}>{T++2?< z1BV$2pQk0+;KuHS06f4>wLs{~WWwbPF7xkK7Bb|EZ@kk%SK~aOO4cPb%#!;O2#gOu z<>lqQ0~&3EDRY^PmWc_IcX1z=#RQ^IQM-D9Td;osuwi}iwwMM-Xd8T}s%u@(9m;Ru zsH9Tq9i$P)t6*hR5~f}z<3~WiR&a~9T4KP)NGwGoC0H}FXkw;o5ZTYqPtQ$4eoM5) z8_I!HQyqz^w~BOvI-I`^6s%fRpP??e#`+Ut;ex(W(daLi(X|wpRr~Jto%HchSURtb zY9EYgp#pRT-?jf)pgh@dlbt7|_op}f5~0y(j8KPh6K%A&Z}xs>;^Y74ZxMjIjOB&Z zCuELhLyT|Ppyaq`i(}QBLI8|TPWd|KI~2;A-CKmCl&^U*apGnCJeuJ}dbO@dS7?wg zX55if1qM7B%6tCYnOd`ZHLh5#O0j+rH!LI7v-&zu425zW0u^$3xCqgO{3{5 zo@@XZXSprpkBIKs>l;z1f2#X{8lcJB>0#4IyBmJ&71XZvEr|L8{Qbz%EiE1QBQ=2e zY)k_P8Lmkx%{vAMT$lc%+smBvHnd#%`ww$%g+S(KC{=S5%KCa84>+Vd*{|2-ZQh=& z59WmgGkuyAit$&#I3(p9;jZnf^n--$WjAzW-CVg6?yu}cm#7~}uwK+dy0I%RL%)>K z`>zw7f9g{2tk3E~?n6v*?#_8><6)_l)qIM&K)+iU%v&7HBT85^v!CkUo(a=5Svocb z6V7UP>gIFl*}a`lf4IK_jVV(bs=p5AWlO`c(r{5`SP$P_F&ek@PoDfIWh7T|IkiEF z-!sgt%^LoPP9_%_!t0#Sbvyjv(&PW+=S7}jer&nvoW#}TtC08X-gRInXZz7h{{tZ8 B?_&S} literal 32015 zcmeEu`9IWq`~PWCr-ajj>}^Owlr3AOQiLQ+*2=z&v1DH+Z7QKic8XFGvJJynN@(n| z8^$(9vX6cLUhkoEpZosa=XC!8pYuzPb2{^Wz2DdCdR@!&`Mh3_E~_aqY-iv8+i$-y zT)c4h%5T4I%K7cLjlccA1^&ymjwp}ce)DR+c=q&FH>2Ust>Idw%ktx$_upim5IAy# zWshg6-KhYLr6f$S?ykm%?4@6Ji9XiYonZOpMJutE<>EcvJ6!oU8{eJ%Lu1p*<_&aK z-#lYh@qYQ0qm`dWKSz6-kK*G7B9x>pu2B|aaTczlau#YD&mR8YKmTWef3(1yO=hBM z)CyKLO5$LoxXnz#a^}SA6gv`rehP~s7V7Kic?2#y4aI-1Z^mZYdW+;(*7p`kVB#EW zRcspH)gL96wIu7H-z`tR!H(!1vJ%J~xfM0tpc;9C&CDsz=xVj70J%BWp$~_hAf;Odl(9s+{0%c<1-wObr6St+C2A!l z3SB5F&!*smcc&8gt1t4$WL2sC7G{fWGsg()P5OJho5>XSvc$|CT^v-$=2pX~BSW@4(%e5=396J5yNrU@e!m~@{8 zHEY({@AW1>UY@?I{lz0NS(YN4Kb#REGm_Qt#bf$MwcxjKCzQgXXI0T~uD;{vZTwZu zwN2@iHj6mJ>B+cNFXd$Il){{}QjK#9xFZL4TDIey2Gki9md3UE$^!Z(6T-&n=Lg@$ z1zsF=#jfT%osK2q75x|$iC9!VxyO%3qVk1MAN9*Zxx$KQGHko%V}Jjyj}h5@f4pf{ zw$1;xk|9}ST;y|{^{8&KhQGKI<&qPDH|!F&XsH_OE@wwHf1c1tqPX-*IJGzNU z_Tzz6vc_qP{{e54$+n^csBcW5E|z zRZTk-bWqxp9OBmZCKBV44_wjBa~biN1=AIt{PGBe^WC&nIKAkSw^?OU?ezR>uq{8F zikpK@wQ}XW7Z|oMu%Ac<_t4hZhra0+uaRk9Eict`Z#QL7^GRO*;%I)+Q2~KZ{MPJF z*{*lwSZmqDOdp!><#>fzT}f-(;lPA1GZ=}v&X1)ZscmYCerwwrqAri?P_uWiS~B8% z|M0>)37fWze#eeV_B^@S4yVYJfkVP|tZ?E6A3qxT`s^TX=!#0M{NnJL#k+gaH!XL* z&^s(B=$U0v8%wW~);#9LVFO0)8{RxybPir29c^VbIK1=V`J)4zZ)Qdd7e~WvU&OJ3 z70L?3TYn7vDB}<_{c0VxpT%vcxaaZ1%@%RqGq}MInKivmhEKOJa^_a3?ThPUmrHjC zx1&TtB&Zzr7qv*qu*HB81kt}A#EAaAVRB8r}D;c%S73 z%~+p>LHFpm#?EI--1ExM$_!K`aug;lzQcoBiZH8Y)lrhGjplkmiYz;~RWQm7AG7;j z_sT1l{#%%_k5xrQ#rR-~>+qqzX@#X8rVg{V-*b5~%qm~_qdvq)TO`%JJLk_bsjxC< z5~wb*u`GI-*Te2vS;qrepHFnG-xKYWhQsx>(~RW2A`?Y(xM#%YrQ9XwWW%Lz*JbOo1dhsNHqV2{l~+bZO?>X-z!UTpoi zmB;Hcx?9?1rp-dc7Gkezbk4&I7v?%xPBfO#nSV%G-jBZ|*p$~&;5pj_5y?M?{-N0$ zI8%$mxqX2PZ$#*}a@rSraZJ=lyOY~*ZcKDCIGJ~AP%PEDnX4;{U9J5AAaC~a_)+l!rhueI6O(>F{3U5j?UX6p@bGy-@-v5fjE_Va^-FGAO&TTAl zEq5MxN1@DvxKo(EeY-8%Qt0hzkil=m zfEg>8E$sX7h2aSf0*o5D&ICz@>eEi*a%n{?3)?v+f3E>6?eQ{Nvr;48eG;dcc&W$k z@h08wx6VV&g3^<%h?}%c4d&exVc6?5BVKS1-rZD1QXz4(N$QP~2fA049c{UfPr*Zt zG0WKk0s;{wIRA(D?$p|xR+KZi{$iNvq1OEj_H49vik{hzrsRR9i5Xumr{re=xqb%E zL@c;*%qPp=Y&A*E&2?k;<31i$t{i}y`kQ9)0hjI!$woBHZ-ws)@>rS9C> zGoJ>sUcTZMK4#K!&f#}>TD)i&AGy-^=fk+A121qYmaX|h^qMa`$v?~pPct|{`F77s zdi>|Z4wmnHWb!p!k#*-by0`|~jy`c4w|9AZVF{Y-yIC|}Kl*BejrT<%KQNu6K5GjxNW4o)FDYbEEkJ-_J zPibv?|L52&Jpsv)m%sdYt!%?l-H$IT3TL}8UAFlnSb~qLotfsoUj^6b!*Lz)&Z8Y| zO9Kk4qJr8Vj_DXWhbHNy8I{WaZx0BUaZQzmu0fD5{mq*<<^wUVsdG*x4;ZR%Z`c&P zElmYCHn#hJiO5dYU!U$z)JoQ74$;d3v(!FeJN}@k@li)n&;R!OEwk-Lx9ZO&zJC3> zf{e7v=1@W}^{bIr7~<^zhwKr#8!8j=n3K-$!|Sly;L$4CFePF;<$NLcTwI& z$1WoO|B~D&XZz{icual20p-LCTOQGyXG1;F*)N~lZvRyVi`*UFAz|J4wZoyD3txHE z2;XX8|A{U!H&-`AzwOYk^6v?L`FZm0;~rC%B!g0DZf}x&7EvVp#s4`gs+58+hIicc zU$kww2X)l{mUWLXN|T?GP2Gz(Y#kSVJC6QetA(qUj)GRF{;~YH)8J2?Qan%_LNwQ^ ztlIOda-}z)5nC-%(ZKXbR^1MB<;^$SUzQDp`I(m01pivAq;S~zh+{YI%#Y@exrJ%s zBDquatP_7#Ozn*8(Imb(=N{cbQAtf4#D-oKmQwtclRT_760T6St>1nzHBkf0brsjW z6}x`vfXUCWTvrBbz0`=Nx(3$%Lf8vx zfvz16TgTLxSE`k>3rvZRLRX^cerazdE>zSF{Q_m;Tr}kiM8c|j+jdt~MI3k6d4E~` zO?yq|NV+nnX5%m4CqW*|@EYZX)VoPn^_@fJy?(txQ}HPN1_@f>f7#oM&86_yzG-!n zXh77fb6NjUOS{WKR3-l}zf!WCIKziNdgLR|u6KSvhOCLKSweBY^y)6z>%>xg`nzJE z3op6fr?p}QuqY+s6IkGj;t|vg6X8)dz{>??<+Va0%jm=J9k`!LD-cJqOk9X#| z`<&^QK}Fkqx{$Q#YbXJ-E7uI@|7{D&>;SQKV ztf*awRA9A=OE1b}W_Ug(hOCyg+!aH=Yg=_E*079YTM;9zcU69jin7(WAU!+qi!XSr zjDY*?0&k-Mbc&9UPRj5ee-eg;*zTa zzpw!}t~&CBRmLB)84v7Q3|*I-o1J#C9^Q3F&^A9tQu}VXH`0e+U}sIaW}3`9c46B; zTa-KV0RzX(a;b<<`g5o4^~JuMbXp%RI2j~d_??t9;)hRXmmR%}pgPvw=a!vF;k*9X zigM;7?b(Z_fIo6-J}q3Ls%UC!O9a^LnK0BRniHFEyIx&?LEQl3_8BSkrC+_?aT&H~ z8Nd|-1uoFD96bi?he4V6dUaf`{l#{Cc>UV6sUlQR zI&oi$Q9=72R@O8M`#CSaM?!qL+3Qa;2nwrB7IWca!aZ8%#Bxg4N5S@V-x^5fBIY(aVRmA0O^v33)H{^C81#9I?}( z5`SxOazK*i+ejsD_b*HRA{fzwN`d6gM}S2}m;}kO1ex|2l1`Oz0!9;$07I9*Shy`Q zac{b+FH52AC&OGBHpVUC@A0Cq^q56r*T>81^ApPL{b9yN={&P1N$vwNiSCmWLgB$6 z*^F;pGb*X887xYBkQ4EE&NdpAKUv1mElN8fcEtr)!wL?rzmG=|QDSC~tvYhkt(xA4 z;sz6=s(>rG?$YHwOK$C<_RUWYM41Fi^UXWm-NH~M-eO?#LP)=?tBm72zZtho;9+Fz z_e?a^U{%Qh;y)KX#YB8CalZWTO;3Si9nSf7zv6?dwo!7PE@EwR1JO>GW=A_imbY@< zddha({L-7ELH?;wu^_IWU-ml=`*uzfYxy@Bp$-3pDI-{gL<7c_su7$p?I(UvsDH3^f@eJox(kf9p=qanq`H z;K!q-z&HuO^8i=`_>KlZ9+3ZGMm&yBXK}0AiU5-0mT2NpqO!Z+!N1Lmhn+YgJD`(` zmGoo+h!9XcBpjdG$-|H_VoTDcUw1>jxnk@=w}f9j$K`vS?|(d}t5HO6a?oTeN#oB) z<$l8w|M^kj9XIRWK?$y7B{Q09;&@FAt(5=ceexX9ZPQ=hvFlbQN(%jfcinVC!x~wX z`C_Z?zb$1WO2{nB?^TG-Er#<%w}UN8*ZdDU-t75&-+ZFC6ff;ebJS`ftYI~W&7*QJ zBtq+|?DlV#g!B8jYJT1Su2+5FYn!HrmsNy{@X7y0P;j|`fy-Wc*9cry1sYdGI1*lL)AH5K9$Bl z_N)j&^x&6im1x7>Bx$Jp+_;nNSXcLiO@HqIQfYYVV|QRu+%tc^c@lD@{djy@f!h!w zaL=N7oEtSL6XiVW{TXIU9PkP1!q|}wB;Bn)SFyfM*R87^gO(BSEV^EfAl0mqwtq+2oo}C8ex*3yIpiEp=Z(2_kg^6 z1GdlIglqlu4Ru=))dm8h9{z1XYi8#iLX2@GwQ)LCiE3ee`EowND&mgh3r@gnN2Orf z-!JJN8o9lR@mQP}bsNS#roS-mVVGX4L<^P=pTM|&hMesmpwy{l|MX#R38+tf52K@` z9Bw)mp~8d>gO^lPRI0b}M_&i#oh|eFr;U@1n(7g#oX+Mf+qQ4OuE(r;#B?t@`5q{g zYQwU+n;15N_Fx(^o_ojEZO#yXKJ>B=y-Y!6`ZpWI4{vwX{2L0QBAPFUF6f}+#@U9I zF`!-NKQZ}Sj&&Ckwkw#{K8|WXu|hSC_fK*M^-<+Z^5-sa4 z7PPqURUnIyUR59a(06a5&sPq~4ZmJ4XyfPEvbX5~WW~;ZPY9Y*dB0b}R#z<1zKxn# zTtt8*^D-87+;-@z%#WMpT&_zVP-;Mha_=OTVy^5t|3v?f+a=zlu;JKEFug$b_7c- z>`XP3k=5f<^=p*~mTYc%<;U%@c+DcFv`_xRy9CX*YC28<&RNMQFOJA`CcBGa=vJBy?50lQFjZ?hm z!{am8lRQiEMC*j@?py4pnzH8R{|!^7L8;)+akh%=*mD1%@_oJ>hruh_+E~-ZcN$(^ z_}OnNA`vbl?QG?{JJhhM*(u>z^oL+?2r~v_q=LIq-SI`=XKQ4}o)CPtv0|Tne7T3^ zg`;o&(Z4eQqt5PL*JpWI$*Fmd{|vE*nIk*Sn+al-BK3;Sf*Ej1l-{*gO_ z#CYWu0d>fw^@g7v=yXPuJ8Ic86qX0o5pLE#`*OV?b~#+~hN zpYIPV$WLQiK3!C&&|zZ3PtHl`GI+R2z1?LCy5o0)JAcE%J;x2iVMt!f(=B*uU10fu zn0vlm=rHr6yNoBlpS!d}(XY}X|JGnehE+qN5*(+-Dhb(2=2g{7a}eKXuBPOWJf6gS zuMyIlJTM;rN`XtpW$8f9kqrORgyw-;#8^rIhp*om`|*do#>RI6F%26pkFH=dz> zeQsYLe-7V9zrL>Yr3;agXghAN@zW&cLu=G0t$g7PLaZ^?;Is9h@o3SiPiB+0enE|R z^G^BnQvRIaR0(XgfS%JMYGU_|?)w6oiHDeWl$&gKX)|M;T{Ka~6V9g^ z84kahv=iA!qi!`QE6Zb;zS(@TE*EBL!n{4pYKiysX|8`&*VK1_s8!D6ZoFFfk(_qv z+BG(oJMDXNTUcg0lov?ZD9t#Xs*-(9nHIGYV6sbUcGZ#M$6RPOr3^WC^9_s!Q5QJo8GCj3gT8*(G3(?w9h=%UQv>yYHJ*w zh=9N~u7zc6|F~jPb7rv3hfN;>pAa1Q+l2?eTM!NL>49#0P3?+rZy-DxVZzKQQjDb%+u#rc_dS?CeQc0{VW9@8 zliMvNJ8x+^vUwV^r|z)d1{G+qvDYP9e}A&r36(DPkz7t|1DwAo?sJ+mOM{S@NR2uV z!Xjn9%yLerOJe5%2vnK`g_8DyzRwwBY5NIu74xn&ioBwuF-bF|?_PPz^AZmC#jzp` z)wUig#Di^J@#p9#>lB%^7NX!s0+X!{XGx!yiD8B=*Qi^zr}`}P@vP?7-0P3^9PKHh zFs%7-yJf$Qf8(3w`C1GGoe9K+j@Xy-L$pTq?h2NnJ0SSI19s#S$IxxRQ zY^m`rlw-K=eVLwC8mg$gIGUuJ6QB1$QqL=NDB(ltPSlAf{;_hNd~DEGb((*^w@qB4 zC2pm!i?R{qfZ>~wa^CsaH>{#t!s{Or#8h&Cb1~RZiOcz_BO7-~@0BPNHlihL|8ayp z!I-3Sl1|L``ioROXx1q1f7O}id|X|2V)GbvZb)^c}A}R z&J)$-#nJ29^8tH4T(pNQb%=iPdJ)uX-4Df(9C4`p5q}Q!mde;7IJR2YMMm$$DwFb^ z?wi!v4jY$j6twShA)>VGHf*O`sHOR#sqR$j>APDfl11|jW6E66t^H}l?8b7eFJ9w{ zjy1GK?UR9ez5Acy7*y>9)51A7t{HDMHGfn&Pzw}MRiHk!n<06Qk!vktoV7Dnhti59 z7DsZ7GZ=Pv13e&)Q~IX#-J~fup?s%VY9c`>mHYQ?3zs6w0}oO^cYnGYqTX9qbeBoK zb?97$^&NI8#Byrg(f5eFRAfW{JRN!-_1F;i1ahf@t&G29^DZXeDl13*ajC?rk<40o z!U6NStDD9zjuQCeqVYCz){TcV;e_&+QFmGE2~n zB>c${b<9G8>EirATv1I$wq;?eV~ za&`Y}gGUgN=c5TrggDW}D7*$W(YZcSl9inrsMigfrXo^sVxEi@uAUZ~N<~QAB@U_tp`J;_03z~S+Te~sL&~1M z@*qi2XB~$StQwf4t-`o{4N_3{nGoGZ>-Kv#5QQlL!8#?jL!UToeEn|IGB-r09=3|* z#o4rsk^HejmB6kvNK;3M-hT2o2ThN&5`egEdh68- zbr%1oH6ld-NrxNF8@hy8ILJ7owXuXrVR)o}EVO^&sLeW#MP}s*K@g{pTNYa-9!M&a zMofv42z2nfDPyh2m%Al4Lw*WNuY^??>C2xZD~;g>V*mAFcaA&sp7nO*UK1_~rX%~>z)>Zl~`4bb@$*f-a4k!%a zxP1Ko%u#|GD&yeYozp(Em883gdt*cc8Qbk}X&pQ8?0v)!IK=)I1;7p}Iu`hHa*Ogo zy7sfdgs+&iS071w8>=@W^^Gjy#;Jis#KZHYYpJEtXv0fex8}` zEzv0AKGNZcPf2MDR9o~D}k~oSp z4TK3#pfujwwvZ*Hz^!P1uknZW2i+U7m=*U1C>zNdr}Ibi1Tl}+p_G3Qw5jDZ&ZCqb z-8Q3ucaTHQS_lyg6pnyhS#hgN1BBKNSR>h1Nl-wb9%=40k!37lHE6cn9*7A$h@hbe z^`M#?_M+^~r=bJ8dvH5rSv%DIdm#^(KXW`rJ)cSo(W2=5Z0Qm4;75B@An%K_r4A4gnBhmF`wi1G;C0r8^A zk{)Ripp<}JKm9LV=Jr6ooEuhMh0E_=Df&5HI(>$VXq(C4;}^PP!hsgdlP3yM3gm#^ z&?wa6LG*_$kZxnVs02buKmCTkK2U77Nyj)sU4H(a zt#8k^3FB0dT}-FWP%TbdJ8~eUE6k0gw3&q&2AkX;c=TX}Uf@SJ4O~_VA&vu*xlD>x zXX$ySw*O2Klg#i(vzgh#p5}?5Llib*>84F^Z5?&$^arPJ!Wu zZg~GSl-rDvUZfCoPuX^h!F?Dr#D}753z;u`LC*BN9afw+mw=^rRt`{E4vv#1#K2zTq;PlF)`|O zb>rI}2CW+h=*Wr0>+2$7*YTuM5Q<%bp_pn!oNZUM>@o@9l5-3eK(Uo%qjdtQs;5Es zlKs%PQQQFciUdL{HH5;n-!VluKFy!N9hI?E8$iMdh0UkYg<{&^1fnohRGAecQlN-TurE|2eT^L;j%tCS zEVBX^AhmofzB+%vBSkM;4DgPjlX2}oLWnQz&yw;1L#_tEy)vrcK8U$58rl#k zKw~FbEUBS2p}hqowoy0rMaRCvn)dq9Jvgo#pywyip0`GudIH z>c6;$6Pn-ft8f%}%SVt75K*{`OmMHYzf|tgMG|yx?wL7=Fg&Tmk2e{WAMSdgr>DgL z2@By)5h&Nm^V>eNVx9W~q~Wa2mT{oNQP?&v>vcaAptYAByMl+Vzn`L+L;46iNF}OMSsU1BnP^A7T9X8KljpQk<_lgmR$q zqSr3JSC5m&6X_8J-)fnG^T#`mfQ?iJ^_*k~G2-c8;D^#RqC{^aaCOImWU0T8y=UPo zVKuyk04j{o+5QX>LHgISt(noOF9|7)*I%N#SW^hzk5EB6okI5?ti969rb?`ZTLMg{ z)JM8@oTLWE|5iQ*V6DhxX58}8c~gdE5dndV+L|*v7s`G8S4~D?oWpOhHQmH<3Dgnh zhyqn@5rMta+&6er5cNC+rVFo7zc=qK<~R&fU?K{MdP35iNa<R7$ zH?;J|ceo#J8MhERs#UzcS9*7CWuhdNFLP&($dYvTe4UGtM91QWQuBkEL+UNEpxhD0 zd1WOU@5+2Wlzg>R)O}MeX{bIy$+5$phYUk|6~?`CQ!&U4134Svl?79CKWD*YS+7A3 z0J;1F3I<|h2?h!PHXU|iQdqKgjQ;3$?dz;-n4%D89{Ijw(B>ivgs69g3rJo>qOfhQ*pHQ zxeSCCpf=}A=IvA7GsVUrScZYQMQ8yC(>l$);KU0vp~y z9@W^`tN`%cj~<5?ns81QG#*K$Xepxtbi{YdMa>vP9`h`JS0b1Z#06HLGw3kSAu}FG z8|bHW=|<;m0Ob#r+q{i&5tHn&S1f%`=ns1enfGYmR~bYqGx+U|isNvN^gy)fCjq0K zqyY=zgsy+zB2ny!BJt2A*7lh{P<{KKO3QA42dN?vq{v8ht3U8fVEs*W=o(*Be{{S% zoy@!S?!gL9ZI$yyGhLWf)8J1~@^LGXd5`M3{78EHf~Uy29q^6{OeqIWUU@}e_QJT0 zu;shAS5P!6u~(UR$RNfxO7H5l8}*N`oFvgQeylz!TT6_4V(@%ztXwtHw;z2MPe6@J z@uh{P)flb_=tC=A4Rm2q4KrQgDIVI;N<>L(8{ml{Cik5;+oz2{sT!;=b}EF}4NzSK z@cWMHlBs&1B3W|x#OmBDLfGCk8W`}ejYzsmEXB%Q9<1F}SdZm`KOuvrdrVtT0+bu6 zsV4oVH(dc_Eh_R&r3W~O zaVg9b)Pq-<%zBuoLaBjVO5_-r?Bn(S&IMpP^MK?DFUJR-`@O@~UT_0sg1B1y(qgEV zV)2hS4?xscF*>}yN&GrG^ayfeib}fj8)F9QD(xjm4|g7{qGL6N9Zj^i zKO5oM7a)0Qs5vFX#2MI)Lw!e0-`!OV!(SeK){P`K_0-f5lxO;tm@9jgZKLdn%{Z{d z?`7c4)d&Vg_YN>TS<(m{IbXtq&=W4^w^(BzBq=OIVGa>Td~wgcP(dBOWXHY`EOoIU z{ar**og^}fr9nx>QP>-D9ZV*}ik5hO5)$v^~FvnU46SJPzfcYFuN+d`Oe)? zC8Z$l>ZpR-UV{C?u>TQ6$4a3PlkDkceg4@~g^=Kw!-k->l?^;B1(Nk+n3c)6kO8m7 z-`DDU=-=7A4L74r_L(pmQqSO&?$A;OwkZ?!0L7L3;s{;uRib?M$o=?@dyD3-CLk#b zn35dpsVn53aQ*a~_uW_K2daZGOD39ndXb!xUcvsJ-0APwRz46=AEn~EcW_G8-5Mix zLh$o*bw@%CEk5Xr9D6{iiK)!La}O$(f5pRAmxri>NooQ+P$>QD!~=-7xp=M#=|4ks z><0&c=&=SuC5+k^c0$(YaU5&Ey``qgdaYvr8i$8Wn?P@e3{zhETjJYDUVsLdZY^DxO#TiJ@UwX&#BpcDk z$if%{L9R>wi~{Xg(^?eRsS`M6CECdt*gTpBq?D>-+~yMR-7xv6YSaNWrsx>y&|ECm z+nl(fRr!45-GNSP$EXa0vMbEx8+aT6*N!y)Y}SKh(@8DDHzM{N|><9j9PzOi0%pC z|7{;BEN+>#Q4c@%s(B<>Mfl>6Z{%i~P)uq~`Up3%{dyF7ijX1|PqT)__#dtx+S@+f zD5+4$s;*b!K|v3uzv9S$WL3tRu8oDV;%~g-b7yt7T0@De)H^lZT^<)u;2pO(hCiTQ zZeX}s3>SdA5ibfSRH~L&LB;zH-NEER*MRCt0;-BZ=X`a|GDd91i^GY|qjm&$E*SmQ z@IWza0$g37pKiH_eKfNZFcHC(j&+u2!kB1^8xy&2ajrh{{^!)3kqg8~GIsJW$ioaE zT9Y{w8>vDHzwP`SUUINBRgmgc)pTxO2yt(Z*c<`7+=(?NV$)Cz{<55C-95o+r;=2o z6fp7_L6LoZ%H{j{q{>x4jyyY1TW;X1W~bCD@!E2ER^Hz;y|6i<1m5k4$l+|TDxboR z3AJu0&CzfdfZ$BPUePA+WB6%Ps>kq8Dev6mwHzL^@tKT!#FjrZqLh_XVRc%T0}z+CI!xKe z7zp8{nBSksP8PTz>QZZ%{_|u7)QM z1DB#6*at9oX+Hj5;aY8pP-L6M6Rq#)(fFm)3-C7XAqW6jxIxdhA|{V4yrFNc0i}I` z_OWBO@ z+&Ur7VN6oKz5uRcQAN01SYLj?9iYp$!oj_oe@=7U z{?|4Dwh6FUBIIO(3_(2Ngw+)>a|c2OQez>Ene%-?I*@?1?C}Om< z)11EhhHQIUh2jc3#$RqVGu)_Pd;6K=UkSFJhdxPupq^t{@?@i2$5ZYyN*3z(xlO_eOT`wA zRexMIu;lM*A^L<{LWH%EY?mq_4>D3Kw6)V8O3=>Gk;aOXt{Qd`nM?H=w?AZiqF zt2>qzOZd$~6-sq;?O);Mdi_I;|41*A2&=Z(--1DSqICv`Gu7_%e87z>a2HWt4S!xC zGU>nR{>Rp<4Zs259qLYR71}Fl$5~F{y@bciWX4rzhIF7&tFHfo5l;zN0%}AfIl|YZ z%eps0>tOgH0w_M&`ALK!9$tl;NmK`FVnR@;_AF75C++p#ig_8N)fdPOgeO4#@CU-^ z5p&SBQ3ZfC-%>hbWc&WhikHV?R)d=UV@X>@klej|Gc${8!v-4W9{UOLt{G&V5F-NA zRo$$QHtfd*6@j)r#CQv67YrK!z$NS646O%PMtdP@<@8#ixJIL$jUd*MS^O{D-vWhi zAYD%DRcI^HR59^uBluFi)Bm$nZLY zmBuDqvfvV!7i)U5*gH>IqS~Q>Gxv88vH3m&L&H|s*pS>)KPiZ{kI$d_rqXhaH!E=l zhJhoB0$A5TLTRsfUpk#5CElmL+g!VLjmr5IaX;j?gfXw#PFD(O>@L=L>vj)37EC>M zcPrD3i?bDxF^-l)jlu!4Y6Ce(a9=iv<01gOs*zn?nj|E=8&^3ZZ#4wDC8G!$Gb45T zdZh|kmoU7;qMw~F3uLMR(F-H zhX>?E;N}zczr2VP{5xO_4mpJb{=K9QAZZTH=Ydiq)YWs-aso{?Vl~{FPKXjffEzY> zuiR^RH&M(Z1hI`(A_+-oUAdBB-Cq$3gE98urs>OjOT;q*sei+U2{D>O@e&d!W zf-naC3?WdN%SrnHE4OeGo%r&`>3uw}Xj>m&1q0SXxLOXARKB_U&T!GoaR@v(1f3k4 zS%)j#P1-WdD8K_q0I1S*QbCDB(k>bwAqMO^h;0bd(kg{Q5~XYM{-1J@wIHAqrEZ5n zVW#QyQ#`vvfCLQ!Z>&?GMfJUka8_vT6c~#J$ZJpleR|IM7Lam(S1o#f)t(`x0Cp%N zZWn4Gnhg9g*HHr}ATIdI>1UmIK!!z$_ZL%#HuV|EcDnzXI zv53Fwe~{;wk*q(4h&;_95~!B_fJALc!mN6)>_Wc`qQT7Ep2O+Rq*F;rgCWH004?PA zzt9ivyQgk%ldzP2RRll25s=)4^E3s`#?(Ehx_l<1x(>~XYi~uj-*6=kK* zq4Cozi?4pAiR*JSKcz>s3Ma?jox~v7aUE{Tx~{CO9IR#QU8ICSal2~5>36Obie{rA z>roACXfeiA=f9sufJx(^)rH@^X-;A`3i0$(;O^1sR08bTBTw#XG-gqs)XxADAr?pB zwEVYq!^WfQQw{U^`ZApcYG{gok%?UkAjn!ZVGOeT#Js_6&lVPgiD}LDA8Wch4GJ=; zLza?*`UIb>2e6q6A4j22@PoBdE&}c@sthI~l$Sn9D+R$8%|YbbUrpn7_%rluAFs`( z{Hbn2j;R}6TrWp z5ze{izf;GpAqP%wA8I9twjoD=n?tVB_~9rW%^2v#s(w6jJ*+}fpweo=#e+T zzsf+g*)%fO^N|04H;rW36E+h@sqWjRmu|lDckS{HEBfO3U1qDWPaqEIWDuR9w0Uk= zKGZ}65w|cS4=ZYP{rLcP-bI)jw0a?8T!ZO^daIvH1~ik34|ZJSV*=}_P%jFXL>`8X}XQwa?zce&o0-7_=kBV#E^B?M-wFD!dQhG-) z{8D#=-UrI}A*R;I^)m6``6n0nuyZF+-spHluDV3#SGX7`AUrY24Ez8>!jyrfj3*u_ zgTh-Cx~*y?4KL-u=_j}x9lgs;_I}`VWli`Lm$26c;l2%?zxHFpM^*3jH z*57z3-itHxV4&22`Kb?yiCSmxeik(wg*2%u&$S4^r<)G5TOVDRU$5Bwx)gRz(5YkJ zHW6VFYjyJ0_sb3>#S#u79Rr8^IkRorFNQJ!`ZOEOZZT2`Y#76=dXlmkJ7RtHk6UNX zUDXB@WHjCD=zotneuPc`pD66U(#>vGoKuaopQ~1~SCfXUXQR@04jTNfj|e+iMCeD9 znb*2e>gOANT-tq3J$_6)b|+niEn${Zd#DMYc^gvUZ?FGuV`7&d8jt_@X07*}R}f)` zipn_U-<*mYA8v0iE_j-YXA*2(_&wYHuXi(1H>PeZ_SpEHXT^V@6FFoATpHXe^Vgip01NdH_3^U>UMn+DEy^)GOWwfxt( z>3e+%a+|8p1xUPC!g&4en^ZIow`GQ?Obg@4yWsRw3F8Q*i3Ds18mFMM5>3pL=p5kM z0sMiR=HA+IVNBoVA?d8fvGjLIhThXn%*g^gx9Uz4?tM}E z&Vz7&v@5GTUK;#&C&u4<^o7Rf3vcp1FGGH+SOsLUDT}bdSL4wD8Za*4gobGqYHJb{ zl&%FK&2Z~o1ic9Um~>*%LQ|SsjwB>CM5H`xuOYIi?=wNa0m?`JI1_|* zR^iKq%MXu%UiAz$sSQXrYtYlBn&NvRg1*aetM?D_Ti%wZwcmIN+ty>5oi0S)@(GZ` zo`CyN`b8!f7b*~Twt|y8!q2BEv4`_v`ENpodC#HLbo3TF5tZ>@UG6LAs9-)^_ofP0 zu^sWLg9|$!5zfNBilsA!-iuUYP!`nE#JwFLL$!mHT;%N2rdZM^x@E`S>!3pVgsB$9 ztyBQ{9yV^pmb#;u<0z2Xh?Kj=b^o6l0nKYZ@?Op<5NFN7-0FdYNMb|e0;^I}8#6@z zyK`3c0G#rgWwxo;-D@eFhek5FTl9W;L@4Ogwd_Ym!{Cr=1uL#Q3~3(p31-mOEs|Tg z?29*;L)={AHBwv?51;-Nb!4w!ihd4dZTQtUY3Qcre+cCeG-Mx?>^FBZU$UFH$Y%Tk zx*njI(AQtZAwU50Y+TQ(MNKrpm?FNWlcR2tPbol}FLj#@`6Ls{YHHkmGXrupJ_ZI_u`kd_wBH%ih5jYod8torf2L zOLE8|0dR*cpULjo_#VwpWCAdVj>?6&tFZ}VpC!};;t<}?m7dYiWn)`jTAHj4F`gRV zHVQ1z)1?f*#ZQoc*7c}2zdU?=jyirg6ZDTlxR&%p3AoO3Mce4q+L*+?sz~ul1E3Vv zlrI7`?uBO%$Ix+4PfDb3voX0v?}x4Wf|9eJLydE28i zyD~&9YR2lWEm#;0tF7?QcK8&=z1RO-Egn7K8Rr=%?+sU(-c8VRQj__ZXO|+<8)*!+ zhilj(Tz{ajCl2d9Vq-kyhzWg{wpBfv|2+;S#VlJU8xx|`usY{rh<$G&fhX*I zUz_;##s>=g&Z>PA8{%~)1unab6ii)lDP`6fmfzrSrzLj@=d@TCYVke^@Df(PgIzG0 zYB-ANS|sUsJ?^>ndnR|<(0T1=3m)TN+~Xq~c(qSpJUo(rWZN~hCh*tnZeobJgl>8D zHIIVQN=jE!|1vO1eDFZBeAUBektb%>GyV@KsLxDfZ(CkoxZbmgXYSNYNZiuvsmim? zflT7$+KYw_ZeF*)H+gMuWH#JQjdrRLU^GlUFg@M^yQ4p!_t6X>ED+DX!nWi)!=h@lntWC*WfiO}}=3(5Qas+u_N;J|*JTCQQ z^)7M%;Z_^8{~2&%Z_O^BysECmFg&E$dE~M&Q>>Kw)otnu%eNdxZ)368Ug-uiovEU{ z!MfSW8X1vAn9v_w%~Af*VK?0K=*Sq{^z>CYxBE`-Q&Uut9nWHG`O=NhdR%}2`_ryO za*ld`P82&y_QW+AeC)eD3s+ZJi{{Qv9FHi>OIRHRp2RSEa2X=QjNh2#a)IZACwk)p zuT!mL1taZJGre63eboEw&Q$@fLP|Y985mvEhqI}a)4A3w=(ti=38yQ!#2e1@S%*W zT5nKO-SA4{voOG=;92WQYUr0Asrw;=^2CIx`W?nV6IgZf85p<~axtCmYJ4@MW8`i&@#>!1$v4LB zgC&nP$z|rR*zxRR6vn9ih%D>dbT*Bm`I0gf)yJ#y;ud_t_dyE6d;nzlelGShb5hz? zrD=)*I=+xw)*<#CWfT~}URI}*G9$tZ7BSh2km;t4g1kcHdtyXQ9&{Pf9Dd-DwOY|( z99-U<0cG8Cer#HAu)@OoTDY{-zfxncojM)ww4=3T_kHke7<0ZZfhOT?;V!mwuFLVr z{jODThXRGE)(6NL)*yf=(pNQtzK?yJ=-D^ovC;Fz*d|=FALs_s=FElwzYB}EE8^-Xc61=;w&+^T%!9$awBPb1A2}C!SgPX`u}P4c5_E(Yir@}^DFWnS@C65ivv49ZQq4L zJ|*nI-Zf#thLxhdEAGx4VcV3xMU>VrDcNnM{M>Ef{5N+!7!?^{PaaqI{dPZ3b6ES& ztY2sQ9F3P+!SI?Ry8docYxul_&J|80A*);|cC&tAua%r$@cLcpHLs$Y=YM)|&M+djf5O zP56Do*WP%@Q>rwLSaZrtby`({X2)fiibcGJgn&-t)DRWWVfByIJJV1{{^#u{O+sb=A|CTGBx2wXOM<$&~b+}>dmRZf0<&QC=?h=!?+l|$aQ=Ofm)w?2lcJA0~!H``YZkyU{cLjU~3 zxcjM8YFZ{)v@81DCO7L+9?j>mxL0Rj3m!tXx9zB3a>EA(vZ1%5HBC71SCBFf5?;aa5^!;eU+(&F>byNX;(7Y! zBvp9-(=zvC^H#Gb#nhy^x(Dd*Uwl1NFrRBoI?m@1;mTtK!lWPMy%j?+_RAkQr6_Sl zCqQAM2RL~Gs+wNIdS+a@adP8@&pe*>S4OyaAa~Et9v(dNqgrkUnA;5u*JJZ6Yi3i( z#!{wm;-~JlE&>k_m%jjZi4@P~osu(y5vJ%fUcs1@tIsrUiDBxGGbZv7aKvN9NZOe_9F z*E&2%m_Cx!g;J?%89$81mvU8y{a-!+?PU2=@r)H=KrQLI{;k8)y1Kd`=v{RI5VpuH zuw(kgW`~bEj^<9tTOVcSXTG#H`1JH1C>FW^>l4Sj@rT`vH6On=5}HzT|1-wUfteD; z=j>oI2xY&E;}rqIs0#w=h*q8kF2@DUQdOpkR5o(mSD{Y+7Qr8E930Ny4u3j}*2SPu z>H)cGu}{kpVT*iXJZ=kpSgYVh^LVYnM*~HMO{3j*u7{UD+?>2ib*@)mK(k2r1y zzEJ5`VX_(MM82!6W_ElGCYo`W>Zev^`lN_Em8cu}XP5Ljt??VPRoNJutOx-F@12q^72Z%h#e`IqEaUI)u_O{lRC|`p2O6 z4+H^Xx(fzVvc7>|fJ(kM9C-4_QR=Gj7D|_7KlP8BTa$bTEZtu=DLKR_aP9WdaUqcu zR)$8XQ5Gz0l#KN7qctD?z6G))W+`Mj&MAseDqBjI(oowjf=WJIREZ8U~;%c^p~afM495Ng*|iAEHGkQpha>$3fK$H zzHqYo=y1&ewOo*!7Cb8N9cyxH;Ydo$WIf5*s0(Pq;c$Uqy?qZyua?&2BG&>kx$n6fHz|YgXvqQ$T1pV$;d~|vz5+k@u#r+fw>@sx9{@1Apkll) zumR$hzLluKh&O0m&VCGn{6WC|%%uKSoWbHGBqWT(0u*->zeFNmb5DN8X}HF2j2=N62Q$|+bNCN1^Y&H}-8J)4{6(kuz&wtYh`O2He<$YHn+cscF{W;PjfK=?mvcvJ< zZ^bAKPjh7lk;Bo`q?HSAhR<8GU=YYjwS~2Ifwfx`j6x4G;PVA~aK5Fl?xD6*Xi%{lvm22u(af5#%LPV?ht0ivBB+nCaAo zvjUZ;S%R!ueE9|9-QvzKn*HLL|DPqvqQhJC_KTtJf7LdNasK~#l9QGFv4o21v5x^2 zuj8(+uHQfVjzX|zEEi54YUXwC!)KP`s_TNxsH%%$fS z)obXWG3IBz>M)GNQQpJB7+0u~zA4#hL%TUi$45-Qq}^cmQCB$-9#>Sz@K8;uE!T)h z4lA+2vO7DcpAyxPtRs-bwwUzEI|SSf`jS3Ie;tr)z9X1ubs4_#UC)TN(#p&3`XC-Yqc*IHe2!Y#~O?h zXYd@G5S|wx=hZ@CMdLPr zC)g+KeHa)Ve2%%=MX#`l^#0kfSvQOIND!eV9lD~+X>TvSDJ_q{S^?e?YBwem^adNW$J!?7&(^eCVyoqt-7+vf^f9`!>K`e-#BA zI<@4EXFw8Do{i5U)&;AvS*#A>2u_0*4o%LP2QJRqW#@*rQOqy%zEV$=@?uC$f$RiP z!|>4q%1W}CpyVC=KTt!e&%&led$=cRAkXXu<36;*{HzI7#r{^XdH7O>HSxsB^pLs^ zXqIw^aD{m2Nmw*xSW7ia99l+7;Pb!50nmVLsaHYDo#HbE0#L`@aq=?PEtMckpf($C zt?fTb0Tftq_4CTgIZ?Rvq&}O;XzO2!e7NbHpeNfu-V2ocmSK$q;Loz^$S%j6)MAaK zFP}MpbX_a-0#2K=4cY>WX|yOljNYP3U245j-@(0$%yWRG7Wy|BjLy6a?}vk>tj*~& zX=+_*O6iq!_tnOgfqwjHs!rqq1gX3S=H`A$W1UD2jKjfX#DATPo#*ZyGt3=_%JnPbe2O0ItkgWU8@p_gbIy6!6Z5y1Y z4~!d9{c3zMAE=GmTrsHSWl$^vr!EhhmneRrCsmowoj*~+y0e+KTzu#aF`x`}E!vu7 z>6m>y7K^Q+aItnZNlin#^|CKP7=5B zl>bQW2K6;B78v7DAm5Gg#%L*WdVPW+AY6`t{2J>FsJGOF0N4NkIwp<2WTBH^QY1~= zHzIqj0tiIagMg(!R{ Date: Fri, 10 Mar 2023 09:47:14 +0000 Subject: [PATCH 052/128] add ref --- docs/db.tex | 28 +- docs/iclr2021_conference.bst | 1440 +++++++++++++++++++++++++++++++ docs/iclr2021_conference.sty | 5 +- docs/noisy-xor-architecture.png | Bin 31110 -> 32684 bytes 4 files changed, 1453 insertions(+), 20 deletions(-) create mode 100644 docs/iclr2021_conference.bst diff --git a/docs/db.tex b/docs/db.tex index 9f39cd6..50a5df1 100644 --- a/docs/db.tex +++ b/docs/db.tex @@ -190,22 +190,29 @@ \section{Experiments} \subsection{Noisy XOR} +todo: replace majority-layer with majority + +pathological: single bit-flip changes the classification + +following \cite{granmo18} + \begin{figure}[h] \centering \includegraphics[width=0.8\textwidth]{noisy-xor-architecture.png} - \caption{$\partial\mathbb{B}$ net for the noisy-xor problem.} + \caption{{\em A $\partial\mathbb{B}$ net for the noisy-xor problem}. The net concatenates the soft-bit input, ${\bf x}$ (length 12), with its negation, ${\bf 1 - x}$, and supplies the resulting vector (length 24) to a $\partial\text{AND-LAYER}$ (width 32), $\partial\text{OR-LAYER}$ (width 32), $\partial\text{NOT-LAYER}$ (width 16), and a final $\partial\text{MAJORITY}$ to produce a single soft-bit $y \in [0,1]$ (to predict odd parity) and its negation $1-y$ (to predict even parity). The net's weights, once hardened, consume $288$ bytes.} \label{fig:noisy-xor-architecture} \end{figure} + todo: weight initialization -\begin{table}[] +\begin{table}[h] \centering \begin{tabular}{llllll} \multicolumn{1}{c}{} & \multicolumn{5}{c}{accuracy} \\ \multicolumn{1}{l|}{} & \multicolumn{1}{l|}{mean} & \multicolumn{1}{l|}{5 \%ile} & \multicolumn{1}{l|}{95 \%ile} & \multicolumn{1}{l|}{min} & \multicolumn{1}{l|}{max} \\ \hline \multicolumn{1}{|l|}{Tsetlin} & \multicolumn{1}{l|}{99.3 +/- 0.3} & \multicolumn{1}{l|}{95.9} & \multicolumn{1}{l|}{100.0} & \multicolumn{1}{l|}{91.6} & \multicolumn{1}{l|}{100.0} \\ \hline - \multicolumn{1}{|l|}{$\partial\mathbb{B}$} & \multicolumn{1}{l|}{\textbf{97.9 +/- 0.2}} & \multicolumn{1}{l|}{\textbf{95.4}} & \multicolumn{1}{l|}{\textbf{100.0}} & \multicolumn{1}{l|}{\textbf{93.6}} & \multicolumn{1}{l|}{\textbf{100.0}} \\ \hline + \multicolumn{1}{|l|}{$\partial\mathbb{B}$ net} & \multicolumn{1}{l|}{\textbf{97.9 +/- 0.2}} & \multicolumn{1}{l|}{\textbf{95.4}} & \multicolumn{1}{l|}{\textbf{100.0}} & \multicolumn{1}{l|}{\textbf{93.6}} & \multicolumn{1}{l|}{\textbf{100.0}} \\ \hline \multicolumn{1}{|l|}{neural network} & \multicolumn{1}{l|}{95.4 +/- 0.5} & \multicolumn{1}{l|}{90.1} & \multicolumn{1}{l|}{98.6} & \multicolumn{1}{l|}{88.2} & \multicolumn{1}{l|}{99.9} \\ \hline \multicolumn{1}{|l|}{SVM} & \multicolumn{1}{l|}{58.0 +/- 0.3} & \multicolumn{1}{l|}{56.4} & \multicolumn{1}{l|}{59.2} & \multicolumn{1}{l|}{55.4} & \multicolumn{1}{l|}{66.5} \\ \hline \multicolumn{1}{|l|}{naive Bayes} & \multicolumn{1}{l|}{49.8 +/- 0.2} & \multicolumn{1}{l|}{48.3} & \multicolumn{1}{l|}{51.0} & \multicolumn{1}{l|}{41.3} & \multicolumn{1}{l|}{52.7} \\ \hline @@ -214,19 +221,6 @@ \subsection{Noisy XOR} \caption{Noisy-XOR results.} \label{tab:noisy-xor-results} \end{table} -\begin{comment} -""" -| Technique/Accuracy | Mean | 5 %ile | 95 %ile | Min | Max | -| ------------------- | -------------- | ------- | ------- | ------ | ------ | -| Tsetlin | 99.3 +/- 0.3 | 95.9 | 100.0 | 91.6 | 100.0 | -| dB | 97.9 +/- 0.2 | 95.4 | 100.0 | 93.6 | 100.0 | -| Neural network | 95.4 +/- 0.5 | 90.1 | 98.6 | 88.2 | 99.9 | -| SVM | 58.0 +/- 0.3 | 56.4 | 59.2 | 55.4 | 66.5 | -| Naive Bayes | 49.8 +/- 0.2 | 48.3 | 51.0 | 41.3 | 52.7 | -| Logistic regression | 49.8 +/- 0.3 | 47.8 | 51.1 | 41.1 | 53.1 | -Source: https://arxiv.org/pdf/1804.01508.pdf -""" -\end{comment} \section{Conclusion} @@ -236,8 +230,8 @@ \subsubsection*{Acknowledgments} acknowledgments, including those to funding agencies, go at the end of the paper. -\bibliography{iclr2021_conference} \bibliographystyle{iclr2021_conference} +\bibliography{db} \appendix diff --git a/docs/iclr2021_conference.bst b/docs/iclr2021_conference.bst new file mode 100644 index 0000000..149a48c --- /dev/null +++ b/docs/iclr2021_conference.bst @@ -0,0 +1,1440 @@ +%% File: `iclr2017.bst' +%% A copy of iclm2010.bst, which is a modification of `plainnl.bst' for use with natbib package +%% +%% Copyright 2010 Hal Daum\'e III +%% Modified by J. Frnkranz +%% - Changed labels from (X and Y, 2000) to (X & Y, 2000) +%% +%% Copyright 1993-2007 Patrick W Daly +%% Max-Planck-Institut f\"ur Sonnensystemforschung +%% Max-Planck-Str. 2 +%% D-37191 Katlenburg-Lindau +%% Germany +%% E-mail: daly@mps.mpg.de +%% +%% This program can be redistributed and/or modified under the terms +%% of the LaTeX Project Public License Distributed from CTAN +%% archives in directory macros/latex/base/lppl.txt; either +%% version 1 of the License, or any later version. +%% + % Version and source file information: + % \ProvidesFile{icml2010.mbs}[2007/11/26 1.93 (PWD)] + % + % BibTeX `plainnat' family + % version 0.99b for BibTeX versions 0.99a or later, + % for LaTeX versions 2.09 and 2e. + % + % For use with the `natbib.sty' package; emulates the corresponding + % member of the `plain' family, but with author-year citations. + % + % With version 6.0 of `natbib.sty', it may also be used for numerical + % citations, while retaining the commands \citeauthor, \citefullauthor, + % and \citeyear to print the corresponding information. + % + % For version 7.0 of `natbib.sty', the KEY field replaces missing + % authors/editors, and the date is left blank in \bibitem. + % + % Includes field EID for the sequence/citation number of electronic journals + % which is used instead of page numbers. + % + % Includes fields ISBN and ISSN. + % + % Includes field URL for Internet addresses. + % + % Includes field DOI for Digital Object Idenfifiers. + % + % Works best with the url.sty package of Donald Arseneau. + % + % Works with identical authors and year are further sorted by + % citation key, to preserve any natural sequence. + % +ENTRY + { address + author + booktitle + chapter + doi + eid + edition + editor + howpublished + institution + isbn + issn + journal + key + month + note + number + organization + pages + publisher + school + series + title + type + url + volume + year + } + {} + { label extra.label sort.label short.list } + +INTEGERS { output.state before.all mid.sentence after.sentence after.block } + +FUNCTION {init.state.consts} +{ #0 'before.all := + #1 'mid.sentence := + #2 'after.sentence := + #3 'after.block := +} + +STRINGS { s t } + +FUNCTION {output.nonnull} +{ 's := + output.state mid.sentence = + { ", " * write$ } + { output.state after.block = + { add.period$ write$ + newline$ + "\newblock " write$ + } + { output.state before.all = + 'write$ + { add.period$ " " * write$ } + if$ + } + if$ + mid.sentence 'output.state := + } + if$ + s +} + +FUNCTION {output} +{ duplicate$ empty$ + 'pop$ + 'output.nonnull + if$ +} + +FUNCTION {output.check} +{ 't := + duplicate$ empty$ + { pop$ "empty " t * " in " * cite$ * warning$ } + 'output.nonnull + if$ +} + +FUNCTION {fin.entry} +{ add.period$ + write$ + newline$ +} + +FUNCTION {new.block} +{ output.state before.all = + 'skip$ + { after.block 'output.state := } + if$ +} + +FUNCTION {new.sentence} +{ output.state after.block = + 'skip$ + { output.state before.all = + 'skip$ + { after.sentence 'output.state := } + if$ + } + if$ +} + +FUNCTION {not} +{ { #0 } + { #1 } + if$ +} + +FUNCTION {and} +{ 'skip$ + { pop$ #0 } + if$ +} + +FUNCTION {or} +{ { pop$ #1 } + 'skip$ + if$ +} + +FUNCTION {new.block.checka} +{ empty$ + 'skip$ + 'new.block + if$ +} + +FUNCTION {new.block.checkb} +{ empty$ + swap$ empty$ + and + 'skip$ + 'new.block + if$ +} + +FUNCTION {new.sentence.checka} +{ empty$ + 'skip$ + 'new.sentence + if$ +} + +FUNCTION {new.sentence.checkb} +{ empty$ + swap$ empty$ + and + 'skip$ + 'new.sentence + if$ +} + +FUNCTION {field.or.null} +{ duplicate$ empty$ + { pop$ "" } + 'skip$ + if$ +} + +FUNCTION {emphasize} +{ duplicate$ empty$ + { pop$ "" } + { "\emph{" swap$ * "}" * } + if$ +} + +INTEGERS { nameptr namesleft numnames } + +FUNCTION {format.names} +{ 's := + #1 'nameptr := + s num.names$ 'numnames := + numnames 'namesleft := + { namesleft #0 > } + { s nameptr "{ff~}{vv~}{ll}{, jj}" format.name$ 't := + nameptr #1 > + { namesleft #1 > + { ", " * t * } + { numnames #2 > + { "," * } + 'skip$ + if$ + t "others" = + { " et~al." * } + { " and " * t * } + if$ + } + if$ + } + 't + if$ + nameptr #1 + 'nameptr := + namesleft #1 - 'namesleft := + } + while$ +} + +FUNCTION {format.key} +{ empty$ + { key field.or.null } + { "" } + if$ +} + +FUNCTION {format.authors} +{ author empty$ + { "" } + { author format.names } + if$ +} + +FUNCTION {format.editors} +{ editor empty$ + { "" } + { editor format.names + editor num.names$ #1 > + { " (eds.)" * } + { " (ed.)" * } + if$ + } + if$ +} + +FUNCTION {format.isbn} +{ isbn empty$ + { "" } + { new.block "ISBN " isbn * } + if$ +} + +FUNCTION {format.issn} +{ issn empty$ + { "" } + { new.block "ISSN " issn * } + if$ +} + +FUNCTION {format.url} +{ url empty$ + { "" } + { new.block "URL \url{" url * "}" * } + if$ +} + +FUNCTION {format.doi} +{ doi empty$ + { "" } + { new.block "\doi{" doi * "}" * } + if$ +} + +FUNCTION {format.title} +{ title empty$ + { "" } + { title "t" change.case$ } + if$ +} + +FUNCTION {format.full.names} +{'s := + #1 'nameptr := + s num.names$ 'numnames := + numnames 'namesleft := + { namesleft #0 > } + { s nameptr + "{vv~}{ll}" format.name$ 't := + nameptr #1 > + { + namesleft #1 > + { ", " * t * } + { + numnames #2 > + { "," * } + 'skip$ + if$ + t "others" = + { " et~al." * } + { " and " * t * } + if$ + } + if$ + } + 't + if$ + nameptr #1 + 'nameptr := + namesleft #1 - 'namesleft := + } + while$ +} + +FUNCTION {author.editor.full} +{ author empty$ + { editor empty$ + { "" } + { editor format.full.names } + if$ + } + { author format.full.names } + if$ +} + +FUNCTION {author.full} +{ author empty$ + { "" } + { author format.full.names } + if$ +} + +FUNCTION {editor.full} +{ editor empty$ + { "" } + { editor format.full.names } + if$ +} + +FUNCTION {make.full.names} +{ type$ "book" = + type$ "inbook" = + or + 'author.editor.full + { type$ "proceedings" = + 'editor.full + 'author.full + if$ + } + if$ +} + +FUNCTION {output.bibitem} +{ newline$ + "\bibitem[" write$ + label write$ + ")" make.full.names duplicate$ short.list = + { pop$ } + { * } + if$ + "]{" * write$ + cite$ write$ + "}" write$ + newline$ + "" + before.all 'output.state := +} + +FUNCTION {n.dashify} +{ 't := + "" + { t empty$ not } + { t #1 #1 substring$ "-" = + { t #1 #2 substring$ "--" = not + { "--" * + t #2 global.max$ substring$ 't := + } + { { t #1 #1 substring$ "-" = } + { "-" * + t #2 global.max$ substring$ 't := + } + while$ + } + if$ + } + { t #1 #1 substring$ * + t #2 global.max$ substring$ 't := + } + if$ + } + while$ +} + +FUNCTION {format.date} +{ year duplicate$ empty$ + { "empty year in " cite$ * warning$ + pop$ "" } + 'skip$ + if$ + month empty$ + 'skip$ + { month + " " * swap$ * + } + if$ + extra.label * +} + +FUNCTION {format.btitle} +{ title emphasize +} + +FUNCTION {tie.or.space.connect} +{ duplicate$ text.length$ #3 < + { "~" } + { " " } + if$ + swap$ * * +} + +FUNCTION {either.or.check} +{ empty$ + 'pop$ + { "can't use both " swap$ * " fields in " * cite$ * warning$ } + if$ +} + +FUNCTION {format.bvolume} +{ volume empty$ + { "" } + { "volume" volume tie.or.space.connect + series empty$ + 'skip$ + { " of " * series emphasize * } + if$ + "volume and number" number either.or.check + } + if$ +} + +FUNCTION {format.number.series} +{ volume empty$ + { number empty$ + { series field.or.null } + { output.state mid.sentence = + { "number" } + { "Number" } + if$ + number tie.or.space.connect + series empty$ + { "there's a number but no series in " cite$ * warning$ } + { " in " * series * } + if$ + } + if$ + } + { "" } + if$ +} + +FUNCTION {format.edition} +{ edition empty$ + { "" } + { output.state mid.sentence = + { edition "l" change.case$ " edition" * } + { edition "t" change.case$ " edition" * } + if$ + } + if$ +} + +INTEGERS { multiresult } + +FUNCTION {multi.page.check} +{ 't := + #0 'multiresult := + { multiresult not + t empty$ not + and + } + { t #1 #1 substring$ + duplicate$ "-" = + swap$ duplicate$ "," = + swap$ "+" = + or or + { #1 'multiresult := } + { t #2 global.max$ substring$ 't := } + if$ + } + while$ + multiresult +} + +FUNCTION {format.pages} +{ pages empty$ + { "" } + { pages multi.page.check + { "pp.\ " pages n.dashify tie.or.space.connect } + { "pp.\ " pages tie.or.space.connect } + if$ + } + if$ +} + +FUNCTION {format.eid} +{ eid empty$ + { "" } + { "art." eid tie.or.space.connect } + if$ +} + +FUNCTION {format.vol.num.pages} +{ volume field.or.null + number empty$ + 'skip$ + { "\penalty0 (" number * ")" * * + volume empty$ + { "there's a number but no volume in " cite$ * warning$ } + 'skip$ + if$ + } + if$ + pages empty$ + 'skip$ + { duplicate$ empty$ + { pop$ format.pages } + { ":\penalty0 " * pages n.dashify * } + if$ + } + if$ +} + +FUNCTION {format.vol.num.eid} +{ volume field.or.null + number empty$ + 'skip$ + { "\penalty0 (" number * ")" * * + volume empty$ + { "there's a number but no volume in " cite$ * warning$ } + 'skip$ + if$ + } + if$ + eid empty$ + 'skip$ + { duplicate$ empty$ + { pop$ format.eid } + { ":\penalty0 " * eid * } + if$ + } + if$ +} + +FUNCTION {format.chapter.pages} +{ chapter empty$ + 'format.pages + { type empty$ + { "chapter" } + { type "l" change.case$ } + if$ + chapter tie.or.space.connect + pages empty$ + 'skip$ + { ", " * format.pages * } + if$ + } + if$ +} + +FUNCTION {format.in.ed.booktitle} +{ booktitle empty$ + { "" } + { editor empty$ + { "In " booktitle emphasize * } + { "In " format.editors * ", " * booktitle emphasize * } + if$ + } + if$ +} + +FUNCTION {empty.misc.check} +{ author empty$ title empty$ howpublished empty$ + month empty$ year empty$ note empty$ + and and and and and + key empty$ not and + { "all relevant fields are empty in " cite$ * warning$ } + 'skip$ + if$ +} + +FUNCTION {format.thesis.type} +{ type empty$ + 'skip$ + { pop$ + type "t" change.case$ + } + if$ +} + +FUNCTION {format.tr.number} +{ type empty$ + { "Technical Report" } + 'type + if$ + number empty$ + { "t" change.case$ } + { number tie.or.space.connect } + if$ +} + +FUNCTION {format.article.crossref} +{ key empty$ + { journal empty$ + { "need key or journal for " cite$ * " to crossref " * crossref * + warning$ + "" + } + { "In \emph{" journal * "}" * } + if$ + } + { "In " } + if$ + " \citet{" * crossref * "}" * +} + +FUNCTION {format.book.crossref} +{ volume empty$ + { "empty volume in " cite$ * "'s crossref of " * crossref * warning$ + "In " + } + { "Volume" volume tie.or.space.connect + " of " * + } + if$ + editor empty$ + editor field.or.null author field.or.null = + or + { key empty$ + { series empty$ + { "need editor, key, or series for " cite$ * " to crossref " * + crossref * warning$ + "" * + } + { "\emph{" * series * "}" * } + if$ + } + 'skip$ + if$ + } + 'skip$ + if$ + " \citet{" * crossref * "}" * +} + +FUNCTION {format.incoll.inproc.crossref} +{ editor empty$ + editor field.or.null author field.or.null = + or + { key empty$ + { booktitle empty$ + { "need editor, key, or booktitle for " cite$ * " to crossref " * + crossref * warning$ + "" + } + { "In \emph{" booktitle * "}" * } + if$ + } + { "In " } + if$ + } + { "In " } + if$ + " \citet{" * crossref * "}" * +} + +FUNCTION {article} +{ output.bibitem + format.authors "author" output.check + author format.key output + new.block + format.title "title" output.check + new.block + crossref missing$ + { journal emphasize "journal" output.check + eid empty$ + { format.vol.num.pages output } + { format.vol.num.eid output } + if$ + format.date "year" output.check + } + { format.article.crossref output.nonnull + eid empty$ + { format.pages output } + { format.eid output } + if$ + } + if$ + format.issn output + format.doi output + format.url output + new.block + note output + fin.entry +} + +FUNCTION {book} +{ output.bibitem + author empty$ + { format.editors "author and editor" output.check + editor format.key output + } + { format.authors output.nonnull + crossref missing$ + { "author and editor" editor either.or.check } + 'skip$ + if$ + } + if$ + new.block + format.btitle "title" output.check + crossref missing$ + { format.bvolume output + new.block + format.number.series output + new.sentence + publisher "publisher" output.check + address output + } + { new.block + format.book.crossref output.nonnull + } + if$ + format.edition output + format.date "year" output.check + format.isbn output + format.doi output + format.url output + new.block + note output + fin.entry +} + +FUNCTION {booklet} +{ output.bibitem + format.authors output + author format.key output + new.block + format.title "title" output.check + howpublished address new.block.checkb + howpublished output + address output + format.date output + format.isbn output + format.doi output + format.url output + new.block + note output + fin.entry +} + +FUNCTION {inbook} +{ output.bibitem + author empty$ + { format.editors "author and editor" output.check + editor format.key output + } + { format.authors output.nonnull + crossref missing$ + { "author and editor" editor either.or.check } + 'skip$ + if$ + } + if$ + new.block + format.btitle "title" output.check + crossref missing$ + { format.bvolume output + format.chapter.pages "chapter and pages" output.check + new.block + format.number.series output + new.sentence + publisher "publisher" output.check + address output + } + { format.chapter.pages "chapter and pages" output.check + new.block + format.book.crossref output.nonnull + } + if$ + format.edition output + format.date "year" output.check + format.isbn output + format.doi output + format.url output + new.block + note output + fin.entry +} + +FUNCTION {incollection} +{ output.bibitem + format.authors "author" output.check + author format.key output + new.block + format.title "title" output.check + new.block + crossref missing$ + { format.in.ed.booktitle "booktitle" output.check + format.bvolume output + format.number.series output + format.chapter.pages output + new.sentence + publisher "publisher" output.check + address output + format.edition output + format.date "year" output.check + } + { format.incoll.inproc.crossref output.nonnull + format.chapter.pages output + } + if$ + format.isbn output + format.doi output + format.url output + new.block + note output + fin.entry +} + +FUNCTION {inproceedings} +{ output.bibitem + format.authors "author" output.check + author format.key output + new.block + format.title "title" output.check + new.block + crossref missing$ + { format.in.ed.booktitle "booktitle" output.check + format.bvolume output + format.number.series output + format.pages output + address empty$ + { organization publisher new.sentence.checkb + organization output + publisher output + format.date "year" output.check + } + { address output.nonnull + format.date "year" output.check + new.sentence + organization output + publisher output + } + if$ + } + { format.incoll.inproc.crossref output.nonnull + format.pages output + } + if$ + format.isbn output + format.doi output + format.url output + new.block + note output + fin.entry +} + +FUNCTION {conference} { inproceedings } + +FUNCTION {manual} +{ output.bibitem + format.authors output + author format.key output + new.block + format.btitle "title" output.check + organization address new.block.checkb + organization output + address output + format.edition output + format.date output + format.url output + new.block + note output + fin.entry +} + +FUNCTION {mastersthesis} +{ output.bibitem + format.authors "author" output.check + author format.key output + new.block + format.title "title" output.check + new.block + "Master's thesis" format.thesis.type output.nonnull + school "school" output.check + address output + format.date "year" output.check + format.url output + new.block + note output + fin.entry +} + +FUNCTION {misc} +{ output.bibitem + format.authors output + author format.key output + title howpublished new.block.checkb + format.title output + howpublished new.block.checka + howpublished output + format.date output + format.issn output + format.url output + new.block + note output + fin.entry + empty.misc.check +} + +FUNCTION {phdthesis} +{ output.bibitem + format.authors "author" output.check + author format.key output + new.block + format.btitle "title" output.check + new.block + "PhD thesis" format.thesis.type output.nonnull + school "school" output.check + address output + format.date "year" output.check + format.url output + new.block + note output + fin.entry +} + +FUNCTION {proceedings} +{ output.bibitem + format.editors output + editor format.key output + new.block + format.btitle "title" output.check + format.bvolume output + format.number.series output + address output + format.date "year" output.check + new.sentence + organization output + publisher output + format.isbn output + format.doi output + format.url output + new.block + note output + fin.entry +} + +FUNCTION {techreport} +{ output.bibitem + format.authors "author" output.check + author format.key output + new.block + format.title "title" output.check + new.block + format.tr.number output.nonnull + institution "institution" output.check + address output + format.date "year" output.check + format.url output + new.block + note output + fin.entry +} + +FUNCTION {unpublished} +{ output.bibitem + format.authors "author" output.check + author format.key output + new.block + format.title "title" output.check + new.block + note "note" output.check + format.date output + format.url output + fin.entry +} + +FUNCTION {default.type} { misc } + + +MACRO {jan} {"January"} + +MACRO {feb} {"February"} + +MACRO {mar} {"March"} + +MACRO {apr} {"April"} + +MACRO {may} {"May"} + +MACRO {jun} {"June"} + +MACRO {jul} {"July"} + +MACRO {aug} {"August"} + +MACRO {sep} {"September"} + +MACRO {oct} {"October"} + +MACRO {nov} {"November"} + +MACRO {dec} {"December"} + + + +MACRO {acmcs} {"ACM Computing Surveys"} + +MACRO {acta} {"Acta Informatica"} + +MACRO {cacm} {"Communications of the ACM"} + +MACRO {ibmjrd} {"IBM Journal of Research and Development"} + +MACRO {ibmsj} {"IBM Systems Journal"} + +MACRO {ieeese} {"IEEE Transactions on Software Engineering"} + +MACRO {ieeetc} {"IEEE Transactions on Computers"} + +MACRO {ieeetcad} + {"IEEE Transactions on Computer-Aided Design of Integrated Circuits"} + +MACRO {ipl} {"Information Processing Letters"} + +MACRO {jacm} {"Journal of the ACM"} + +MACRO {jcss} {"Journal of Computer and System Sciences"} + +MACRO {scp} {"Science of Computer Programming"} + +MACRO {sicomp} {"SIAM Journal on Computing"} + +MACRO {tocs} {"ACM Transactions on Computer Systems"} + +MACRO {tods} {"ACM Transactions on Database Systems"} + +MACRO {tog} {"ACM Transactions on Graphics"} + +MACRO {toms} {"ACM Transactions on Mathematical Software"} + +MACRO {toois} {"ACM Transactions on Office Information Systems"} + +MACRO {toplas} {"ACM Transactions on Programming Languages and Systems"} + +MACRO {tcs} {"Theoretical Computer Science"} + + +READ + +FUNCTION {sortify} +{ purify$ + "l" change.case$ +} + +INTEGERS { len } + +FUNCTION {chop.word} +{ 's := + 'len := + s #1 len substring$ = + { s len #1 + global.max$ substring$ } + 's + if$ +} + +FUNCTION {format.lab.names} +{ 's := + s #1 "{vv~}{ll}" format.name$ + s num.names$ duplicate$ + #2 > + { pop$ " et~al." * } + { #2 < + 'skip$ + { s #2 "{ff }{vv }{ll}{ jj}" format.name$ "others" = + { " et~al." * } + { " \& " * s #2 "{vv~}{ll}" format.name$ * } + if$ + } + if$ + } + if$ +} + +FUNCTION {author.key.label} +{ author empty$ + { key empty$ + { cite$ #1 #3 substring$ } + 'key + if$ + } + { author format.lab.names } + if$ +} + +FUNCTION {author.editor.key.label} +{ author empty$ + { editor empty$ + { key empty$ + { cite$ #1 #3 substring$ } + 'key + if$ + } + { editor format.lab.names } + if$ + } + { author format.lab.names } + if$ +} + +FUNCTION {author.key.organization.label} +{ author empty$ + { key empty$ + { organization empty$ + { cite$ #1 #3 substring$ } + { "The " #4 organization chop.word #3 text.prefix$ } + if$ + } + 'key + if$ + } + { author format.lab.names } + if$ +} + +FUNCTION {editor.key.organization.label} +{ editor empty$ + { key empty$ + { organization empty$ + { cite$ #1 #3 substring$ } + { "The " #4 organization chop.word #3 text.prefix$ } + if$ + } + 'key + if$ + } + { editor format.lab.names } + if$ +} + +FUNCTION {calc.short.authors} +{ type$ "book" = + type$ "inbook" = + or + 'author.editor.key.label + { type$ "proceedings" = + 'editor.key.organization.label + { type$ "manual" = + 'author.key.organization.label + 'author.key.label + if$ + } + if$ + } + if$ + 'short.list := +} + +FUNCTION {calc.label} +{ calc.short.authors + short.list + "(" + * + year duplicate$ empty$ + short.list key field.or.null = or + { pop$ "" } + 'skip$ + if$ + * + 'label := +} + +FUNCTION {sort.format.names} +{ 's := + #1 'nameptr := + "" + s num.names$ 'numnames := + numnames 'namesleft := + { namesleft #0 > } + { + s nameptr "{vv{ } }{ll{ }}{ ff{ }}{ jj{ }}" format.name$ 't := + nameptr #1 > + { + " " * + namesleft #1 = t "others" = and + { "zzzzz" * } + { numnames #2 > nameptr #2 = and + { "zz" * year field.or.null * " " * } + 'skip$ + if$ + t sortify * + } + if$ + } + { t sortify * } + if$ + nameptr #1 + 'nameptr := + namesleft #1 - 'namesleft := + } + while$ +} + +FUNCTION {sort.format.title} +{ 't := + "A " #2 + "An " #3 + "The " #4 t chop.word + chop.word + chop.word + sortify + #1 global.max$ substring$ +} + +FUNCTION {author.sort} +{ author empty$ + { key empty$ + { "to sort, need author or key in " cite$ * warning$ + "" + } + { key sortify } + if$ + } + { author sort.format.names } + if$ +} + +FUNCTION {author.editor.sort} +{ author empty$ + { editor empty$ + { key empty$ + { "to sort, need author, editor, or key in " cite$ * warning$ + "" + } + { key sortify } + if$ + } + { editor sort.format.names } + if$ + } + { author sort.format.names } + if$ +} + +FUNCTION {author.organization.sort} +{ author empty$ + { organization empty$ + { key empty$ + { "to sort, need author, organization, or key in " cite$ * warning$ + "" + } + { key sortify } + if$ + } + { "The " #4 organization chop.word sortify } + if$ + } + { author sort.format.names } + if$ +} + +FUNCTION {editor.organization.sort} +{ editor empty$ + { organization empty$ + { key empty$ + { "to sort, need editor, organization, or key in " cite$ * warning$ + "" + } + { key sortify } + if$ + } + { "The " #4 organization chop.word sortify } + if$ + } + { editor sort.format.names } + if$ +} + + +FUNCTION {presort} +{ calc.label + label sortify + " " + * + type$ "book" = + type$ "inbook" = + or + 'author.editor.sort + { type$ "proceedings" = + 'editor.organization.sort + { type$ "manual" = + 'author.organization.sort + 'author.sort + if$ + } + if$ + } + if$ + " " + * + year field.or.null sortify + * + " " + * + cite$ + * + #1 entry.max$ substring$ + 'sort.label := + sort.label * + #1 entry.max$ substring$ + 'sort.key$ := +} + +ITERATE {presort} + +SORT + +STRINGS { longest.label last.label next.extra } + +INTEGERS { longest.label.width last.extra.num number.label } + +FUNCTION {initialize.longest.label} +{ "" 'longest.label := + #0 int.to.chr$ 'last.label := + "" 'next.extra := + #0 'longest.label.width := + #0 'last.extra.num := + #0 'number.label := +} + +FUNCTION {forward.pass} +{ last.label label = + { last.extra.num #1 + 'last.extra.num := + last.extra.num int.to.chr$ 'extra.label := + } + { "a" chr.to.int$ 'last.extra.num := + "" 'extra.label := + label 'last.label := + } + if$ + number.label #1 + 'number.label := +} + +FUNCTION {reverse.pass} +{ next.extra "b" = + { "a" 'extra.label := } + 'skip$ + if$ + extra.label 'next.extra := + extra.label + duplicate$ empty$ + 'skip$ + { "{\natexlab{" swap$ * "}}" * } + if$ + 'extra.label := + label extra.label * 'label := +} + +EXECUTE {initialize.longest.label} + +ITERATE {forward.pass} + +REVERSE {reverse.pass} + +FUNCTION {bib.sort.order} +{ sort.label 'sort.key$ := +} + +ITERATE {bib.sort.order} + +SORT + +FUNCTION {begin.bib} +{ preamble$ empty$ + 'skip$ + { preamble$ write$ newline$ } + if$ + "\begin{thebibliography}{" number.label int.to.str$ * "}" * + write$ newline$ + "\providecommand{\natexlab}[1]{#1}" + write$ newline$ + "\providecommand{\url}[1]{\texttt{#1}}" + write$ newline$ + "\expandafter\ifx\csname urlstyle\endcsname\relax" + write$ newline$ + " \providecommand{\doi}[1]{doi: #1}\else" + write$ newline$ + " \providecommand{\doi}{doi: \begingroup \urlstyle{rm}\Url}\fi" + write$ newline$ +} + +EXECUTE {begin.bib} + +EXECUTE {init.state.consts} + +ITERATE {call.type$} + +FUNCTION {end.bib} +{ newline$ + "\end{thebibliography}" write$ newline$ +} + +EXECUTE {end.bib} diff --git a/docs/iclr2021_conference.sty b/docs/iclr2021_conference.sty index 752784e..6606c34 100644 --- a/docs/iclr2021_conference.sty +++ b/docs/iclr2021_conference.sty @@ -85,15 +85,14 @@ {\LARGE\sc \@title\par} %\bottomtitlebar % \vskip 0.1in % minus \ificlrfinal -% \lhead{Published as a conference paper at ICLR 2021} - \lhead{draft} + \lhead{Published as a conference paper at ICLR 2021} \def\And{\end{tabular}\hfil\linebreak[0]\hfil \begin{tabular}[t]{l}\bf\rule{\z@}{24pt}\ignorespaces}% \def\AND{\end{tabular}\hfil\linebreak[4]\hfil \begin{tabular}[t]{l}\bf\rule{\z@}{24pt}\ignorespaces}% \begin{tabular}[t]{l}\bf\rule{\z@}{24pt}\@author\end{tabular}% \else - \lhead{draft} + \lhead{Under review as a conference paper at ICLR 2021} \def\And{\end{tabular}\hfil\linebreak[0]\hfil \begin{tabular}[t]{l}\bf\rule{\z@}{24pt}\ignorespaces}% \def\AND{\end{tabular}\hfil\linebreak[4]\hfil diff --git a/docs/noisy-xor-architecture.png b/docs/noisy-xor-architecture.png index 62b04b04347d5a8417f6bfb5ccfc70ff4955ee58..a59bb70f43a755b48c2b71fbc9ae8a90d22cf019 100644 GIT binary patch literal 32684 zcmeFZXH-<#)&<%IpalUH1SPhpAQ?m`a&?;!NexAmBp@I;OQuu=B&&#IP$XF7Ai1E( zs3e6VLqQRxh(%6Cy?wyGx9@ka_j}`w@&0}Nr^j#%>g==k+H1`<=UgZFPgMn4Y8L8W ze))w~@y<<+Uw%1O{mU;$LVl$L|57W*{oZh|IqX>njfJ`WSk;VE?2zY%zMmr zs|oj~*#+uv_iu!!)&*WpZ9W&?yrG7@a$4OCtNZ8s;E-x&Mq1Ol{@SPE&(GdG&KuGt z(?<5SaE~0Bv0vJ-AFYUUpV{`4$3$Lr8E#)1h#B&Ax5N=;Pyhe@A1XQ`qeEgn1m&Q- zEt*x5ArD)Bj578}e;noiJfk$M61H0tkB=OaXP5I@n?EmRvE@``KO#+D z?SvbPn>IcdmUbgt8)BQInT~}`-)1WcMHNm>O@%({HwkjT9l^F;$LfG4j+Bl1RmFP? zyCE`F*IOdktH$z?q`7&cYOi*y!H=_>)5Pk*$?k|7QK`qxI?!82nOF);1Dsh|6>VPJzBLfXfx_Z zTJN)r7cC3pjM4}a-K?h(7LYKrU$jWDlb|=tQ;g#7^Ei0H_0)j4`?8is$2+g8eX-dN zmX6TQH(D_EnoXx^4-MR&-g2J`G|dY|QL%_yUz^Fw&htV}eTg168u#58u-xa(Of33% zE0ig;Ewo-t*@#y1CMx=VTO4wxIEbE8{##guTcT%|Nn6sRK`Z`yrM4CQ*tq0ogTm$8 zgeI^IkAu25~&oQN|)9cdmm@?I!Oy%9u*kPWY>v^FIa;;OyXlH`58#yhw^tf zLM4-ApA|(6*mEW2H!_ap8kZBbM3!>PaL!~-kDDUX&@N-UWBFq}Rk!I-jPo4$GTW{%YEr;Cw$$tkXeuA{!2+tuEi&3qr7uuaPH7T+0g<8u336LW2i z?s=bGkJ0HlkFnq!7AxoSHl=Q$*u|#zz?=FmS+(_i_`{!4!EIsC?Hf2isoN-uunGyg z!Lc@`gS|5qcfjqn&m?>2UBX3>_f|VeLWY$B(;Q~we;72hwg|Yn%%;bf;$vV^4?Yve zUMg^Gvsm)DxeS=cv?Dd?|rQG^_j3>&gnwC&T6;|$4A7K*!1m;RJj}9FOqxQ@TOLXmgU-3 zM_9#FViK0N*&yGjdO0J$*?=QS#=T~2%%8sZ7W&QoHoMXRi`F*G)G;X=kgiYxD=RA{ zHodQ#4KF#8VrN@sILz+PN9!1EAK}brocYX?V$heR#h;VMA05svVcVaO7{^G}cdyiL zh$(ySuDSWbP?_-uHP40m*t!0~2_3f5=g*&G>EJEWv?NFW({m5F$7x*Eu#UFn_`q_l zo>DfidN)3P{#~nd`+c?$uwC~rh=)scRk+L;mi3#`@GKG+h@^Eo!F#7qq zvFzX}FG{%XE|m3^pf5-*eC&P`9TQ_*`;KS$t6KjQZNtI2wz6w4!%+E|;B z%5~@e@e|rHUkLq9&-A@s$He4Md}W|BQ!Q(u4sJH+VY&A3)Psu~R&Bx0pEE|L7$*h# zmDfEdUI;P&6njHWGUATFjb^sWhr4|KEcCZ-@RbhW_uC{eR6v z@tG-p@vy1btL7m{P+^JFsc--Hq?2nkTwVxw{r)HN^Q+6~Rt!L*dlv2S+d&*&SC;sw zp~~~Wq(2sAFCqyx>f=HlaUZ2EZI2gk1vrW%rZyJ8cJ~`dbIFcuFQK@0{Z>xHurgJ9 zScrzL+eKU05TX@!*bgs}({YwN?9#3u`b&w;th>VK<)h@1)HIBH;_`pZ&n1L!3Y_aQ zkLGnnzuk(Cj^55pdK8aw#9!ZENli!I{$KyPRT#6j*>4t^sOXR&VYjEi;rR@M4O#1a z&LDsDAl08}IUNku2j=i9kqgFjKgv~ZuYpUuc%7-%*7*+$Wux+v?NX~V04Qy{Ot;}N z+OO9(BmTD^c)(O--Cyty?z82H1Y5SBrWm!CTRNC!I_?en38FFo-JRX$6aT%a*oe%I zxOS_MK+7RxxeE&99()f^UsqCnuUao8;OE82ra-p`pgB*M0H=xOZ4fom4nqGgPFkE% zxMnLA*`>%s0bn0GWWlB{uYD(L{QpI1yWs>{8S~_iBmf0g>}|T>7ge`TH9>WfhfU!U zR9p?OE!IEtk#YopjF$~w7I;0%=mgErYvm2~&M2IAh2ZTFdUfc&c-1@IJgBX=CWMqf z#T;V>=&{~*p{JWB+ADc&Uplk(;eV<0#nTxz>x9{WFRytKd+P6RQ)rEZbTnOuXDoKw ziEI44YGdcs5&YF>yx%?bQzqTdQdceehQGlGmG=J>^Ikl0_r}wcZ*Bv~Fq_OBKgg3k zdgbSH884-{b}5!*vD%kE z!KkQzjf}bX*2YU4qdxxg)mc!*c{LSpU7vdEPxnPul-U5v0LTPz359)3tTWfh3c)|$ z>iCiS1hQsH0=zMnn8U%B}7e_6KIh;qBQ)^xz~b@R3F-|84#8v`E!tOFA~}~ZAcvv(HNW#@civE`e!V_(<>y)K6{qShsZKLyEd>gT@0PyV zMq&sW<&xGx?a`lKkE1Wjt7?REv|2DDC0-d3>x?HDXKjkkb$nP07KH zT|z{5mF_hD9N7Bh#|;Y4b?yy=ej%!d)%DtX6pH&}bijiFvZi z!pQN`FJQg@B^73E@FRr3N*n;~cl%=o2=Zk3`m>*JcGid~L3XgYGZ*v=SWa7Of(*hO z{hs5$ElOC$PGRT}rSG)H+FHYKy7WKaSX537N)P>wzmS;^pnB!1dTcbh@W1{3z--2C z;_duKqYqHAwbMbQEH``A{(N7})#9b!z`QPRT&Do-p;dXZdj_iAQ{mIkm-M;kD>gDi zVvOA=xcbjOK%4YNUnQxN^~QfG%Xu{!+{ETt+(_m!py^r>Bl=LvVuz?KErbODRB`g|VNe;Y(BJ5&oVRf4qZ8Bqp{p0v7oAKksbJ-Gbkzcme;A(qHK|$62ju zQHTnpWzDk&)Jo2Dd%{G?K)#CjT3RW@HBAoFO7xF40P<#UQtPG5>wuPWt!(Ylc(VNL ztSA!-7LLa9H7$5j{o~OKD!xsuH+~YztzH(d3iIP^+hmq&kHyH6*1Gq@&WlObf66te z=t_YQDBzrOhpaM_rsF;jX}WwLaun7`UjgKrQ5V{C^)gSQWBr#xvzF!^(HcM>Y1>z? z_lmWZ@6~sk37o0)%fL;CYmFg`4`>1LjJUx!uzNp=ccm|Zto9zZRgV_lV7A6X+4OVb zJ}+fus3Zto6SQrSQ;cA;8~o_$87a4+d)1Ag86nyW(OlaW<1(Yrv$9TS1g1gs9deG6cU>V)C;QtdRtEj;XBSh}0e~jb zPK3tBGRclLxtJfE9_Q|%pkTKElR&%HVg4cy<;2*%tScTPf(0vS*QFiTGq7j*N88Q z3hZv!LBKR6HOX-g4^XkYe(g()&ZeYedv4>chUdPOCg~n0?GKx-BMTicAuK1aii2Zs z3_7Pz!z{GMqn11$$qASL5DDM!H?HxKLh8-`_V1(&k0Id3k?|rXM-`^hc#=KpmwI!D zyob%|tM>qlC4kQ{Fz1+XQ;ENJzC|VEj#G_z$$5u1f3o2LTPOa|ggToiu%z}EPSYG8 zGHG-Ftd0SG32e5Xr>7@3CgdvSEoq;$y9*Gvw=GZYtXcH>zj8u6hJc*b=}dq{zIX2W zXw|(3k)_W3iv0Zi3F0o($`N1mJi^*-vf_p_pJUk z=hzWWm62xF?7t4-=om{VmFN4*KF?ozgC1=!9ER&3_1j(WS93(}%<}BNx+_oKb0GuW z;Uss>kX>04d4G3lHRdKIpvnGc?{wFu4Qdqti#GF)$6n(mVG*7|Hxu47hKxG6=SQRy z>W>}^$a!R_4<0uJdPow$pr4G(?Ae#HzJd0}M}W+k7kXl$Wa^I62 ziQIcXTIOJkQHbR5o9RgMCofjaB=1YjBu-$~x|9k@lcxZ;cV-EY^iXw|jQHgFJvf2! zWu?`4dY+nHgG^Q(nfoC4j#gV)|KjlRF}gb{XNi=*^k9@*(sX4*teZf12@^WK<` z^BjH}EY!>QyNTSf#O+rDWuS@PDPNlV63xG@e~Zu8=T)egGj!nr@#oCpH4b9k-p`6a zi_<-}4?DO=Oy92~OorK#|Cx4Fw>E|xJQ21~Ycvj9G(wWxkfDO5%R{AhbL2&L%&M^m zo&rf6Z`w0IBJlj#S=UJUo$vRLVA^4$!^nwn*j6i-KWL|dM`QUZ|MkgvqHeqnIY-C| z2RVr5V>;@5#upETms_XIj?nOpb<-yjWbfDhLUusz>f@OGZv>tscEZU%I5yTpp7hG2 z>9#lqfsjYFN2sE@ zKnL%4r7L;5mrQr2EJ4bX-&}9*Ayij53LQ(nsEz>0Dco!dld@}#;C7DqJhXQI=O*>m zTV_0(4!<>iBaBT|MSk+dji)*HK0d_5z=haCChiA$uNDEJXBY6~oDLDRY%=D_u59YI zKCA7peN<*L0cJON&12Z{-Yn2dNKvZNydTUW<$B56oyf&9>mI)T$P=R6oPeLch|Io& z@4w;_JW#&7Shcjr>9_R+*7s$8px7VwaQv75xYPx6CNt|=8SB~~@pG?y5Icn~yaNKc zf!9YePf4iaQaR~Vo@doU>CjU(acRJ~SdC{Z=DSFyelq#?@#RGY%BTT(-<{)SjX(pV zMCwtXMOSg&OIkVSBD_{U^K66j1Qbf}XgU97(BH;%vAFz82oJKF5=3#jzx)WO-umPW z`SHWO(l)|5w+ec?IIhLn=_6VA1|+3VAt?1s{H1KmePr6f@SV z=k)mSajjdEQEJZe>rGr*^zvJ8k;EouD$6rtw9(~)22BvdO=Nd*djhC*z9dH2SjUOpB^wLE*T^^KtaiM!KYcU8QS8cyG$ z%jB7OBif`}^guB;zx^cC{a^N*pqpbHTk~WaiWN0`YG>@XZC-HaY^ix4P&kD5|x6q7LaeG=;fTExHM#ReNIG`aD1#jwdc@vPzckJaneCBrYGP&m#a;2C)l15 zu+WOOO!jPc0Lr7tx28lKu2y*&EVPyGfU^BW!7&K~>M)yTx|B*K_db8>7|3R7wu zDe{gr(y%QSzM+g~>0}M94LV;z-rvO33F8=4B`@gCr}M!^ToKFSq@DFu0Bf=o^YtZD z`)db|mHX|fA$JfW&5jANS!mM6P+h&YlT=dNL5>h#biC&SI?$(uZ-~Iy!wg^$&|ooqjRd#|v%SXd_jc|}Dd-LIETpB{Yz|A)pT^Pw{fKy#{*tys)tmMi}{x z0miHGtAMnt$wYHF^GUGQ4J5dAB|RfYFH)DQv@jd{;77gYa&5de<}1>aVuY4r&2X`- zyc#Zm1S*+ir;v8*l-mr`addmu-CsIroh?&QCtdrDnZcNKOXM#mjjFdPAZ9#FWo8luPy<}y>9Z7 z*yo=>pB4@%|b++SOT)O6nvCW z?6fiL(zy*Po_-IIooj}5*$o{CTsU2&-D?gwpE?Cj-^QT1<36eKj$^gy7G2&lFzshV zBWv|+QzE|kXdY62doqf|A?LLvvsiBCm~vOyqtNkegcL&ZtYd$H$zGq?W#6144h2Rj zpRB-%`Ujwx9D&^2o zf^m8+Z}hiZ7;uzE0OvWAbT%L9IQxcbtSKNr z`AJZ}^kn9fU0PO&wcWK@1_7aG#w(f0Ue?Q_p+c3P0D#*hfw&gkYKr7Y_8330FH!hp z0%)=k7efNrAN61G;E@~Ux~?l%2D}_~)_Bkd+Ao(|cg-@ASWGvK~EuKQimb(zR)-m#&s-$C=Mt`R5?Yf;Y?TMO8u) zoRdUUYYKW?+igD_73A@r0zPD0+`cGA-m;8C&bOl1Xug&+%3mIJY@p4IH@@5F`6v(H zK64S_z0!PdJV@TToIESPJ0Dd{n=(JHo4u1BF*ocuXk~yeKhUsEk4?-2U4(Y=bP_!d z%O-OF_a7&tC;%ze{pVdItHnp<8s-=d!DSJ(rI&%<_LLv!zWnD4`?(gcK5n(q&e2sT zx|Peepr=pvQe9#4qXS7W9prDFWZwD!ydM-y9SC__Y3DYine3rYRTsBj8HicKCn39&IEzkbXO3KZX z*W^?t^;-Pan)?=*c7gb~g|Dk}v=~U@Tu2`Js_h+xoZJQ&S}4e6WNwvLkr;hDGe)D|hTs`25QTE17b&%MrBX_Du%@4707`$R7zvpcXH#r}C1JFTvCd z=o@vZzk#Oe1Joi=nk@mpM+(GNTXM9#1)cc0AvMnnzKNh+31PGk2oSsHXi$Rs0AFb3 zIp|@siuH;uC^oH|HyiJ+s2kjSlG6T9v_9D|(E@c-0;lW|&xXz_mfw!A1my2g_+()L z5ah_{)s9uD;;rUUk5szRsCwoRa9K`I4^=ADBcYvmT1GbGjDousqcy(%0oNUEa;lbU zWF$!({FbKUtU9w3F$Pe&Z(ae+3wu~5Fp4ePXZ{8>x%tQns83wNq7Wh$9dPnqqK!-g zWbOd(eBHlzV0n*G0_rFJvBIy}8FXXerX#-~nsSQT=_|xUL?0dbQEMoM>AgS$u?cZW zW4J;05jP#jcscDeErJhLD(nbls%Fq#b4$SuuC&a^AH*!;M*LCnZo)^NBYl2hPI?H~XxX|6jHG}y!z zs-u8y&_hdyQfkAQgpDS$8JLYry zi4xQ|;KM6G;p$u(EU|g93yQkFRh`)DaM+7tyrmO_rwgYx>O2E!)hc6p=%5>S+KfI5i=KeU4b&q%b z2^Gh$9DP}ftn5^PNP#-=yU@`#?Z*P0_?{!Dw~xbc%07T8lfoxx{kZ@ARL5KpGRwD7 zUHci+@hlTs$!p_}Zt|FuJjI09J(f{zxhjI!dY+atKjmEMuYG1(`}jzl=(*we4@mNU z9fSOSRky0lcCLOI-G)h#H=r0>oX^gz5nH_gQZ)dLbe&nrTwc`@SyaIB_LEMmI%Tb?E(4-5LN2~kRcTWA2j99@RMq=;V zAk=^n0c(I7_zmHmFxZhTI~&lfN5;gUqBG(j*tMRUORv$f1A8nJ`^g9-`?{NDfM}_E zcC015Cjm5v_sJlkcspWn<@JTm5dG6c*>UdSXiYT|Fhj(=S~%#n$B6TN`Nq|lu^d{q zi{JvWxaXr+LXe=tr7BBB(Ii%eM5oYHM_TqnA@Zo1jmd5p!a8BZU6ee0q&+aD^WRfW zP8}*^aVlKny-yVGq)*6hG77m8@o_Y+5_EizIi3F!@|(T@r{PL6N8|}=`Gs&9sAQm< z*;Nx-29E(yx(?X2lVsrboDfDGw`2-qg$c#Z0}52K{Nw{*jo34P`TJqvixa1EOu-El zTdpp8`J0XXhkYCqMcnXskNr@o=s<;Vh-IJ~w@Nxz39xZ?7@e2(D1Za<6p8(y{s%tCA0iQSM}O%{nwWD; zhzIQXN?8bFMCb~Wk{O*tsR{d&4}a&^E^+?2JK`dEzUd7q#WxOJRTU^xW3q?M=m|w;i>mcmJDx z92dopaMLz(M{us(=Dnj8Wh7uA-hy=;Ozv#T*so)?sr}oc%ABXZjCEf_Kd$}bCS0dmQnhk<=wN%ua=OY(f`4fWjz&rhWHMISkB=$lqtudprq-z^jz$) z2FFNMpT{_)K07?QtYS{&-ZwZn*N)XiWg68ye;8omiB=0Yjb@>w}%<+)&=Gtn!md3Sd@{nSL>HAPi+JXUx_WA z_XP&n9iU0Cb^-u0=JiDdHge6wz)3$BM0Kg^=4(2Ji0~URTM<TdS2vbl4{1M>zSyd-h2I(R zskvGr=a54QpZv>b7?Pw0Ct*QNTqQw9mDMdRM*GN;R-vlnQDd{+nX7*hb^m~M@oUXY z3YymvO+HS&(cb}(G8|*k&Vpl?{(A*&dmkQCsbi~E*8OtFB?*ODZnj>&vB)OC!B}?7 zum~IjFma{o>KB>@kbxP2Dl>K*iU?*+NW7{7ghW@FFC_=PeFKHVK^n$i~4Qsm6e`Qdc}(I_)~ zm8LILXY(@~lg<$6%SjOF1FHC820Vz7Lyq<@OqElAK4Wn_{7l?*29pP>smZ#Y-gDA# zvuc!LVlf7@XWmo_pre+ut5^W@W2Y)DWv#9j{<$BP9f;&}=%wY9A9eu9uxY6T%pCA+ z`NljsA!;8N;C;sobI>ypZvKaD)$$m`enYEsi4S5$(S_7|FBIrthAmF)Ko&VWv^*~2 zLK0duabNGzq1ycDawH<|s+x4fCq>EjwcRDmOnc!Ej32v7P?N9gyS#0!HY5C=2p& zpTDAf*U{Rf8L%Lv8}xD?O%HdUE5`Gp@b1SRFpF_~2uvU7iFWL)%}yZKzA5M-#r(Qj z_$nkbr0ZDO%crYK1H8kAp8bts{O5woQK!-Brg%5R?&@tQM6O2R;OtPbnrCx58{mD6O?PMQOV>n|gd$L?t||Y1CnxO?B#-xv_1hWtQ{m4zS3a3@ zSC{aPWcKj_ob}ORRNf<}(sg#+*!lD2I=h0aeJ@9yTG;)76w2SsTEm^!r+s}#@-j2T z4C*~LyKb(gYL6jp+-J2P+5ni_oD}Y%w8;hSN}PmHy3@)goo>F|oy|<)Ywqe+gBuo-pr*W39E?er!d0ut z#1_ut{YQIgky@bizWkEBW|1Pg3t%e&@A0X^<-paUpY zn##We8F4japfF=u(zmrMF%^+yv&}=NWga~-)bPNOteI9!bxig zoECn-GG)EWZ7##ctKl#5e|ve$3DVe#eay084zG0w+OZFCu>s(8@wiM~&!QLJZ&l;3 zDWs8L)J?=xVq4PBjG)lxh-t~*v;3BR%-lJIB3=A$Rn{V8czVgQFr1oCYg zk&2$fpb+9sJ9p@sl#s@Hkv|l@zj8r_ojJhX5`48ez0Ze`L>;j2nT`cCIH|=ZeGe z3GbQG7?13}9K8lnDVpln(b2hp*j&Mj9whJ#QXO^y+{oFKjE<>rE090)vJ{s9?qjkY zvd+#es?mrtQUEd7n!MJV;hJKU>8Naa8ft_(VjCW$d9F_HgITMydvGw0)eE_PNq}bC zGHZ#TwVw^rH!yUpqo`x$Gl3YpS8*rC1#+m=`M!ppS8%CN13BU3fm~x{rp#W)dif3A zwRK}$Y%_?&YqNr$Z0g{DD#s)K0ZahSqh6`ro=$Kng>Q}d*F949@m~9GLSiurOu0q6 zJkt7JA=0Q(s)7I%UwupN>TM(b5Y2kCgCcp2CE?z~EcT@rx?mWL2f^+c#M~g7t?2N1 z;yG84mg+V~On~ObItF4RT!Z_{Tji^zykCBF$9eMTe)yFk$rd@x6a#!J{${t6LA+sl#%`f_--GVKI-T1%W)$UmR< zN$TFGFMu*nJJ?v1s&)JtbnB#s8lHk344yG806CUi;I(cY(RyBTLvEwr%n2Y@a%2Jn ziZ1dpggm=qA7lxGOVxn-4(wR(7eKtIM&VwyK;qr2@pwrrP>}da;VYjm)(I9Cm6=>P zzxKFG9AZ4V(iI)J9F^TPy3?3x^m?fF1PE%f`Dm-|3^Pc%ZW2=UacTovv!00`1|4Qp zF7=YI>;YaTl>;WS{vH+h(Qtg}G9su;0;*wgYo)dWMW$R&1EdRR`86#{-(3|x4pbUy z1;z@W%~?Rv+Y|`y-jfEpBFI*Eqi{FJVhNYTX61lS$sdNl8tvJ=3HYeifn*d2VPY8{ zwI9MD#}6%LDsqZLjkK0=l~JV- z+0d3&CXs%ifPFel8-HysC~Sjo7J3r9M|HBaapg`EaF|W6E%C*L8*lL4n_#%q@tK>& z9O3~RL&U-}231`vZh{h!SiE^7k`hky9*-0T+f8tKjq0{aD1TSQo6`|PqKN=W%n($_ zv)S=X_hwR%^2mh#-<$P3`+}|tuTxUV50E2K@15PftKz)+u^tHexItcb_wPVpw(7EJ z;>|F+)A#wKgEwN+8zs6Ki;{D3@1p^kC4NmC6^a_F#!6PSV5jwVm(lCq!s0ar$Y-cG zdb>1E5vcc8tU}urZA!js!y&|&imK3h(Vow#w?g@RL-g+euzSZwpgnRHdl6gxufS`9AaO}z9db}?h$)VfdyL(Y(b-a`MQm~#6yw*nMNMMcTMKhMZo z?um(!bsN5^_bNgrZL^OVyw5-s4xuX5#3^B``zNby!5;++z|ox5A7~8(+k)z6Jk{k7 ztV2*$(EGM2RVxljRC8joGrUlvRvvT>q?;*fOZ<&X%DLihN9>S;SV`e^Ii!ts1!}>$ zCUsGg8*+*LNw@_Dd=vg0_S3i|vE}}3^(#Uf>A_VSYURXibZ1WvdM|}V$Q%MP)iK<> zz=OnSci-B~GR&8q)#!}mJ7hQq(nsT!U207Hb1XAR{_$%}3n>|@Z98JzOcUK?G8JO! z!NRe`CnAZZ0pVsLnj0X@wCba9xz*U*Q>>PD4GHscqvjqLDPnZYZGn@*f(pUvS&?$j z#QAH3=6hEYw68gVLD;=(s6{DPy-V6=C?JEd#iElM1?cXG+|#hsKX-{rw|s9TRS z0kd~+v7s0*)V%u?JD2+S=xKlz^himTgf}_xP;W=RIc8uT26e1Fqs*isa6f?A=)16C zbO}ZPi3tO({l`*@fS8WgScL_BET_U#^qPKKjG^l$Ce$~yQ zw{)lW;7YRKE2u4xFY|Vsm!v(vOO!d8DL8?^tIqmLM#~qo2>MZtYYS{Gxfm^`ZAKaq zKvx}0lv)0@b1~D34e_lx?EJ)1QL9jNGX-^KGgNr?baE8QY$)WpArF_^F-&)JmY05= zd6${9zkEV{gXhk8#;g&+&}|I7!~l)nI-#eP6K2nb3`TTS-^4o$yWM5vKDVuH(J1pt zOu1y7{lfTjt{A!55l{&E^3FPRr70HJ&E=Nm_4no*V?y$K(#p=DMMIb^w=`)pC$*+* z5u@HHnIl*p5Prbal3hOP0x*liaV}#zbVR%tYKSXOG~m{wtfy)gMDK;bwG`rQYNM1f zftU+M)~_DV`JY$w%7?87#<1k;&irCogx@Xwyc2KgsC?^lPOpKH(IS|R#qEQ-#+ta} z2l+2D8(@H#>OWx3CR!zY90+RlWq_qKB7EGfvP!v=b{LeEFoBK7%wGpGj|3+ypJ+?z zCU=7BdZ2s*E76Bo-M4_G9*1PQy>!((o2LRej0mn*d_aTXeUbs^X;hz|`wW6#Ac5YM zAZnz1#k+RFs<96)vC8Z1e(t`my$>8tBv2-UU@|no76YW|gu;zq(@_blJN*yba{@$VSL)(5OzBm z7hT61TiJsxGa_L=zp4|xMV$$QJ^We=pGkB9$|E~~JA&n3u-SS@+!v+l<(Aw{$9pak ziC@BI#N{tbvx2h|S%1``kZCAU0dPMI`9 z`?=HEb|$Wb1q-N!JmIPKM`Kw<2l}WZue!PPri9jk+z*;(&Po06nPtF>>9M?CDok6y znYN#{f5khPeV-jKyY_mKHgj)JAX~?YRerW%;XF8tzIaA|ETCB0aDcg}->Zd07yBC9y2Qv9^4 z7RP*g^Xa_RCc(|3mQ&PoXUDG6`P7H@#5$=gTN+ub9BYm;@)7LtsOV54Dd*@FVU>J2 zSwZgxv|ELzKERnFh|{{9Gar`EDdl_#493;)tn;iZ3@FVX9nW5Q>1JIWQ$ZgW&-5PQIFM`r2*bbyK>4mP&Ik zPNU)Q{8ZIDOZoI5IIm{Hs$^$B1sX}Ny}-ZrOk~=rh^dSruxAXWZ_=*vMZ&O4-Me!% zEsRnI%}(v&eOo{+=#aJW1Bhi0_zNz+4tQSwT7KUY@9HruwrPV{@|@F&UYgY6fXCH8 zI6EP@TWaGS>-AYF$>{~H+1kUwz`3uSL=8AY%Bi7B!_xq$z1p7K0QYgqP%B=_#bS9K z09HnG;lc*YMF51**eaBV#;Hww(=lxwQgbLV&3$i+Shv9J=o42@c&%HF6$g49P?KFNxr}WT1Qhz7z>;XAfC)i1qY66)u)!d=Tffu*>aAdeEqaKu53#d`;6~GKm^w&^r=iq%Vy41Ny{t z2DE2HAnnA9(N&xQT!BWdXwM1UW01`C9ceJ}OmYobV=_zVVxUd#-dE>O08Q?d_1g!> z|6JM|ICV*2bcwRhS!Az^RoeC8GR>9w9$TUq8q4!k_qf8{7DR@&H&aWFVBGH78)!^1 z*(-|-8hT=kX3?XCdpJhc@0VdajX(oGdFJGBFTLeW{G5F`o)Twx&BvIaMu;qm>BopWODZHqlKRFOnLU}*j+(ud*0BJl8XoK7b_trrnZ5#( zh7ddN#fr=W^GCLJI+Dr$$Zz)g_5@l4rfsma#L}s4@aboJx0D<_?ORBI_DhlX<=Yp0 zxIV30AKM^!$1!pVpcR2?AX`dd9I~^n<6?ua?`*xI-YjX9d*Zp$DtgNrn$QICk|fq# z@b+xpP}pi5|8|=99ljjZWIYNmV+YcuSTjBr`Pmj<4`OwN<2|vCbH6I>%-p&5y1J2$ z9C3x(Xc*Y=W~2QIO(^seD>XRP!e&$Ae95<*5YvT?QL9IV*HcfGJqPfl^lAzLYHqqP z!GL{xjggh;YKgrWhwF>G_mJ=i!Fpdm5f3s|Y8PlJLWlvM?|@G-@b!SuY(UB}b+sgE ze)k33yg2isVzrZncjAN5Oy+=MtpY+`c9-u18?!70@seWHeh*gNXljVToO!X;TTk50 zT|8i@GCV(H*5=nq^-<&&7a43R=MV-*uqFL!Y_J@J4O#NZxAZY(LASNW5-CL;E$bPD-$U>#_)f=|Q_pqn z!e><%43+|1@5*VLG~4Y_qkx?8j9e-Hy+vsxiZ#<|qBMx)Tp2BLd3!Xb5x|}g#q$9< zpskvOueOQR9p402rF@TXkq2(e{Cm;+QseT<5?K(L*8w6TgqXxT?1v8%>-bfE>eGB* z8f+u+yvxAmY?D>H?zxOguw0=LC5@ie)axc+e6p&5S3zsX@Pnd*0Pz9L-z+OCzh)<^ zOY%cr0p&@YK%pRsBvzn(jH!XmB+I1t(FuiDWM4&P;?i^JR%I`G$+5?GTf5ClS|DRr zzp+|2EasJ<%EBksYAmk`PrP(}D>)U#2(`@fVr-R<7FZIUQgOY4J}9?&dbUuu_u z1d#x&`>1b>d(%-bJR~?q5Hl+W0&G4x(XT=_Z1O#Uv_qM31sFXk9U9MSln+s9ColCE znuTw!Hs&-|0{iw0G9)-Pkv>J`ytT z9a3XK$jX7oT!o|~KuFzRH}LrqI?7Q>;W8OGm_sjyi2G!PYOU#)SZi6y9-8Si zbbaVkzG$tZ>>+CnOc#9PiE-~d&An#BoqoVyYYJy5$DNVoC><35);Y>zTTAOA6qRyG zhOY*i02X%q0B?_Tvtw(qmKl`sUTv*OYxX9D7dh~TD~O9$`l#_BS&8L9x;%4oPrjcP zaa_0x%%d^+Nb7W87g1N@%m>O+lj<~L#PHETdRMv4*SAmLj$^-*gL#sdp=lMQILKU( zesG5<7%DOFfPwr50A2>MaHg|+)2 zPZNsQ`=wXQ0Wc|7RESO|w?-NDjwp?22k_LVhXDDm-faQ+RZ1{`J)A-Rc@rOX2CW;G zz2@`<7%FTvH&ON(jt*_*N}Sn{L%Au+C{Y3$CAnxxOAj93A{sy)H3Df;40Kt@2{sOp(K=qg`a?pFm0^EKD){={n zC$<_d6{|%VSvn~fJ`TtM-#D9H`q-^1WhPSPxXU$MB+~ICwEeZd&j6=cLg-Vl0G6?n zRUrFv>FDa*BIK10ggygT@IYFP$hPhp8pR$(Saxq*8Vefc^{Cqd`tUBN&+?I_5ZWJR zI;rHfM~lM)xCLNF@r`@aGWgckAZEU(m2W>sF~3+cqrd(Koz^3jCCEXm%xy4jGbvnl6ztUJkR(8c13Iw~%F z{#MQ*uQQxBAsuI(us#!!;iakGpL~4ph0LueBOa%lg_g(A=EA@qL7<_rb-_IZ@}xgE&Cfd9pbkv`N{p#0i1Xv%A#rNmUT>ifk{%igZpY zK(ikKX3o_1DFGa=Ud0GV$t3Mh8u7tuWlvT#TGV)~31w`_w3~uGdvJiLs@u zUAGZlpPhJs82Tp9eE(&hrPn%Py$Q-}uU$ef8VETxoz=+^#pp0WR5Q%}PTDEiyaV-t zmlq-=!6yajREPM|z;^?MRlG(TPD_~sTpQP-3A8Zq_6KJYOE|eX0zqMZrfW8UFmnzo1Rfvf|a zbL24C2?J5om5)%vqA&@)G#J)72sh}+vRG;uNc}s}snpKQFbErccoZt_A6go&fwkQO6#F>@{J-~=b0@b2p6if*5 z`SIZQ(a=l)XY+d6Y>GN3OFWB-bq0#`&^XbxQ5>C@*kzCe0@)cF+Z-LEyp`23aiAEz zeg&Z@Fh$Iiqp6p$1B_8yLyeS&PDf~`IzXY=1j^;{J{u;D+rP{BMjvB)kq0C+mikj)oVD`q_}DyP^JHp-<*kpTXgU;q=BAO&B?y$% z{_Vjz_?i!K!HZq#_UMX`Lx*f47}x??=#z;F7n=@XTDcO@Ru0IcBlXBJrawZ34B>$oR-BrW~$@T*83{nfd zwF@S_JlqA+BM)3LKOP8J_mxB1yMQCf+S+IbQ}`$NlBNw90<@9h(ed4$iYcdGb6rFL zzuAq0`uCdA?~|DdkcDbbHyus6nv!2oDe3k5fm4Rp8APjF`q^0jQ;dH(WDX)KC;Yrv^U^2=`Db^g+RRAdvmf?n6X5VG$%94^ z%7Q5%W1?(}p}fp|!Hs1}(?7VF$8^C8VABP^_kc#4!0FU@8gd~xEu|s9wVSv zZ_GgrcJKDdO=1(t$H~}uc(knMf5`rdP$mG9%ilhDS1!JIu#Hh?Lz#u?xU0Zm_Mal# zcD*@q$;_I)0rXTquvlDjR4&X=bWj|Ny&f>r2EGU-D@i&J zue!-pL@>3k{D0c}&afuW{%t5KRVvmhqR6mX#Dapzo+&D#C`M$1fE5`60T~e?ggB~J z5paRB3n(j$f)I8P2PhaoLf8QjWP}k$NC<)O|J}j_MP2kxhX5J4jQ#?}8C`3r1liy@49ssn}_W2YaN?C0X4P0!7*GhMKC zHHh597Ob$vQ|r7lc7EGaW7XVeCeKdqOrRaWvAugGjw8&Lg>3;~$%zDLfAJ9JUqeH~ z^}2J99WNE|)Ay5Av}`wM?k^@RETdT2$t*YNbDpHE>L;GR@Vx&UX(n*I(oWx z-c}?&6o5P0&Z7enMB^fWs!Rw#@@iA4*fzhd=d6KJV2jxNZ}Y|$AQtl*yYs8NfMD}8 zKfU<~8keq{bP_&zN>KAMGybm4&Kgc-Ru~xc;I-Kj z*T1&+{(#H!-#;miTD;h6bzw zcPhJUG%x-W$Rn_56Y&y<7Xr{*CGi20%+7ZKJ2VQqc3;pXnp5xI*|{fv<}mwE+RXmC2A!`tayp|v(!#+Shihj$Wbl!<&xqVc3 zPnf(*P4Zg^Q2oN>{|jmS6!HAXbbgC}ec?)mC(OCx1DY7mBqO1x>GG#Q>TIh2)lzN5 zcAIf3l5qbo9N}WMW6q#sw|&96)dZp-j3qfvc9uzO+(LT!jg9TdIx#1j#8Ja`#^6W8n3WzbX{Nbi?t8dQ|5F}(orQ>>LDi@R_A*kA(1aa+G zm*Y=u32UD`GYNmiK+FH7kGzkyP!$e_L82nb8BjSA-R6MpHEZOTn#$!P>+l7hQ3wH! zkQSji(*&XkAE}P>ean1F5cs<(!xv~y1a-PfA})#pny+&`zGv409`g8MFL1+g-ky40 zHZuQ(O8r^>#(x0##y&8&mDqG|oaP6h|N1)<+9JQgWXz7BL~g0ui`4&LpjU{VOjuKr zK>!JG!76VPY&^)&j$VR5!c(bYoo>9eeQFj~BA^oS0DF7yi+*Jt{x1kK0Ik@s~^vNET?~WHyV(mWi8ms zttuemTL2KAreSZDEyzw-9a7{n~LM@Vt?1R*Ug_zKD}z=_xFhJuuB}@vZnrVxwmt6 z6YdkkyjZ*0g~{hNbDj^K)z}ppF>cP`h_mWng;{{hV>|QL`wiXa+eo z#=Xl61~Cnga6Q5UtkZ`u4olk@7au>%*-J^&T#%|o@Udozy2VQc->b{YoxRS>uP6Oc zNI%tCZYAeMXAfM=_uZ?WEEkrvLFK4pYf^2kIGc*~EiPi(Wkw*C;D?tYite3j6%y{D*g#R7r*dxd zPi}W!w_ro!DRwW`v-|5wm4)kb`R_Naw#d(?dYqsY2v-cwX0X(E%l#yEr+N@uLZrse z$<0BXTcomPE`HKCbYMHb{cu`&a!2hZnv7`Gv8fZ-49?7t)|nGGO2IgugXmsy)59bK+>kTn+uQ|ChUaNl2b<0|OVV~? zRB-CqKz1GAHl8@&8%J^H)*m#M#mVO|n(_Elps#PSg(ZLaQqEGH6YhfI4BQI={*&(TC^C~9GbAp(?+-fF>ayLTz z@j;&+*@HGMT=C{_`;(SN4fQGe9Fqf(^$9W5Qr$<8dg_?`MpiX@QjIiy_}dc^2D+c( zg32{w*vGo_CW+-?OAFo*Z5xttAf3dGN;@SZ<{6xRntD0(%I&SEJKL;D5@x=Hu8M-f zC0~o0{CqP14<$dOKW_(WF|&Loo{4*oC_N16_53*6SAgkw(a8PV8d(AhFWx!vG_R8c zCK$}cTQ#JX_raDKn`G=8yQb=%h_w!rr*8=TDAFlOp1LuP5bNn=uVRJPjBPR3+3qi^l_ zmSohk3{~!q52qI8^YvspNci?#4Anp>nZV~xkS#h%qdam!cBF9k<xY^_CD9E8I+g??}7gm9ankc^kR4Aif@C7p%C+SWAuVOX6YU91z22C69D z&=Aqn$2!^gVtDd@klQOjHHKiixrorVePd%8K4p4dXw&fRYj%K+58L+;Dwl$#YMt_z z6_Zt!q1>6cVFt^M-oS$EPrj}WJxx23|qNAf&@m_ zwtUCKlCu#!R@Mc5!xyi?^cw+UU&;AcbN#teUg=K3wEAZaR(KcawRg((x-0}O?6@k! zXw9O!(HBz9J@!gHjM@Zm#4e{spO{;EWY8I?ddoJezyzJ3kgX>Z>QP-Z!T5!ZOgEs- zAA{0r6O+kIr@+e5<0EYBa8|hfRHKqQnD2c!!&S58i*6p zMq3J2yCbDBQE#~)X6x8REpfV8^l~%5;y_LxR~t^RtIGPNH7uy9DQHX^e*E0CT3G|X zq|8ZKh~jLK^^Q8B?tyDgbQ`1*=3mJz{N-Zyj9&7_NREijjZz5L7D6sQa%r4U{`)g8 zD?CnyF?IgJPl`lP!>Gzxu@%>-UW64n4mWPp0~o6%?2ng0A;;frqS3Fd7V8>rfkhrc z<@vQc1{I??1$DBsawaL|1c;d5--D;9wIH7-8)jx%8MguA zr(N*{i{K{zHZsubrj-<5m9^B}x;daiutZu-pOYB?6A!Eqal|iAKyKXk*=qe*Zh1B0 zNR3K<@~rU9)^yaE1(0H6{!<*>V=yRMhCxxcj2Y)VEsug9&oC{iX)&A_WrMojytBlY zkn_(yjvWG3JA)Yj--P0~Z3r!H0`{|QH-N--q{26dudmDag+5As?!5R(Qg6}HMpRyR z>jxC*%k?gMJj&)pV)V_`!)6{P4@z!mF(gyldU_HZ5%#c2+G)BC#9ZtfBi|qXV`44T zC!zOVEsx2MP_;(B7lKnWM`Db19m4?suMzMkRA*cR%VZGFSl;y^Yf=p&S*8IDeixX2 z6zSGQr1^)^ShwP%Jf)&G?1y72NHPA@ivwukPi_i_|1U;t_bc89^89ex3hOUU@6>G=WI)2NT5f)kVevDqh znMr35UZ3kMLPL84mpwW`R1f%&&6>wK(Xsj?v~*lX*wl5o_lRQK;uhJJ7r0426gE-Z zKGZjW@8k78#(&zB{8kyt^ToEq3#&@^B2l$BxZMrPicVos=~J`42-VBom&{E^Y3S1M zN5FgkV`YTY*AbeC6+kgL52JW5O>kFn*PSutmuX0CxU42x_3Sg41eVddxFhY^Gx_b1 zgNHQ}@dkjw@6PY&>FSE3gPs^SI>;p*Up(}CVDIg)lo=QYR}WQ9KC(FZ4w0cFcot>z zBK{Vw1PP~*$7X(#WHgAJD5Gdi)y`QM5T5D;f=%l3syxBjrzINp(~MhKGWF0>9E_p^ zFq7-Wd7iwqw;KNe*sgWsE^<8EFu!6%Cdz>vTDG)rx;YFN_*#p}T01%T?%{0r`3uWM zqg9hY@0-dvl3%_Iwz3kw8#hHK)ec@?b>&DuGuRw-hDv6r@jwk_P2`Q_m`PUOvBJtB z$)29$MjIY&TJtb;vM6#?6>Hs=Af>qrQ=o2PH+%U+QD2+%eTrUH#%M)(S3b$iMtpg3 z7*$QL3NAy#`Tde*K2 zXnOEmbZ^*YXhcDex`G;84JfgpruM6TcZ+-lPxP^SwCZbnsT2X!uR)tjZ5aK)6yld4 zb>}4%uMexOlX*SEU2+wm$wUy?gfLspDkffKx#*`$G<+>2Z=Sk0xCo9tme2)p;z3`X))9f_Z(i@X z$E=UG^h%C@Z)u51XacPp34$pLp0}%4r$p;Z!t|dbXcJ`P6zs~cCGw{8?28o%Eh}im8HUwuzx2hY-1X3&IvjP+}yi?#?!E6?~=Ey zhlTjvw-+>D4^#|3I9>=2r)}||u>*|63V}$ zmw22efOGfppKQ6&)egP)z{_qigsyblnJ|V$a(1x(?k?Y`ByIF>FIJLwE$AUFVq5G) zFrcdP7{$)@#S@oQtLlJRKG{w?}xC`fPGj!@qc^Hbte|~G1_{DrElh}1|W*-s?iE0kIEg3JNpU}h{ zsPOoZ8khX$pv&~f-@O_ql>VM*2ua*+_=8T0S8@90|m|G;ES&{hS|~o$H`7j2^YmaMPCNe{%exf=QuNtMZ}7iId~Sfbz@&8 zl@>SGV31hTa!GCk8Q>F^fKvK!iIst(fTYtS6hDy}sz3;Z$+HY3wH|#rK{G7;L?nl! ztmcSLD=P~Qk5cuE*L8A#I<6iA%CZ=?(KpDcs>;Oll&T_1i-o`hkq7S6Jkk0k1)7k!w<-sGk@H_;uZu|X}tzB9i5yc1Es};XvIS7 z6p$4fNIrB1I^rM}^`YkXjk~rikD>`Pme16I@0f_6l9Y4#BwGenrJ9V9U{GXpADnG0Zox1TfEheza| zI&*-(xSaQ$YfjYqvI4ka&(?0#vP&suRAZ7xd~En`SYu6d^WxHmt1E?uV1H^Vl^#Hv zJ6J9*tv&U#%zVt~CTB-%2$W&5hFN*itdmnlDYds8?CslnAf!3e2Nq9~+DoCaFs89a zZnKcO6hZFrSKe*{5d#Y>7vBK@H^w+%SDRw?+I?C(c9O?}Grq6dpzZDbT_q$Ei3~!h zSJFcFcchp@PcDqzd}sqbGmNp7=LMR^zf+*ci!k{1A*cX=GH?m|_p#d(7Wi~@3R zL$$1q|6qN+(Nuc6Okmz{I^Gk5!4E*M1z$QtSSGF&`r(t8B(il-mwbyXm*{NXQN~z} zu#nKX{(t}T?;8Aj4*s=;fBnI~KJnkU@NaDVf6fmIF2KE;3mtF^i6=ckkD%%^EXGFU+=gJcrFbP25j<-N-8ym6giac z@Z)!sG8n|<&W&Vk*S`2MUH*8?W#v_W=x9MQHPp11cd(zoqCPHpe<$CobkIcd{77&1V)!$Z!|eG zD)=7NQs|TrwY)n%j%^*^r7=Mxwy#0zfbBi7irFo$Fz{F(V*Lwg`era57xr zkeS>29q&j$9zZ?f1i4OJRj>w!hf1m4ry8Sj-8xogWJPZ z<5Yo+Mp4|vtDw6EQ7s3Jh2Rz@Gj--aq8wT%iUSilh2aXbpBfCu_WaJX^^*4ul zkgs%)`VQWQC;}r|Nj~f}fg-8dp|(MP>X)_>-#)F@)?I0}!cahlxI$f`5`1WU8>I}c z)ffwFeqZJ|0;lOU+{86VfwvAhGA>LhyDB2efdAe%|Z&vVqT;82=g&}8Kz$co#K?km8l4==DMc-8=@(1{Myvf^v$E*+9vXkN&5D9fYu zHYbd==l9(-H97fAR7mKVx|1kb&AssqLri8o!H_!w?aBoodU@iod4a_M_9G6oxA)GZ zcj!=bmL5Diz%(3(&kbNC#}9$_bPnjXrn$d4Y1wo>*lVOYMQ$z=7SJ^n-RD#VtSRRZ z08HR1B56mQx%D=hmg4%>nTd6;eYVlzhBCLU~X1DZYqn3iD`#^=+Nr-WfNAzJzFSc^)+=lo@(P&L-m?v{@<4{!l4JQ z6xtMoiwgjN*DZ2&1-X#obFNWX=*pVFP#7A>0uZ&K94hJ0Z-7-aI|mdPH{?c^V)Iwj zCmL*!%)re8xMFpv3w` z+v1HcbxI5ARsdi1W&=stokm`d)cvb zk|@0jWoIX?oVOSd(_*djmUeZL8ck@+DECa+y+=GCQiqe=mQjdLEu`dlqb-Meh-P}1 s9i@Va(u2xb-m?O0gWdW6_~*x6uHSQ}YJn~C5P8ZmQr5;5|)^fa&X(G|G)ovec#eG+JbE8I(IdI zb@f1w**#Qf^INq60Z+7Iomut;$m5sYA}{} z&qKmSpqUjhlxy$|ja&FuCg3>d)bz%5vpq$;-R#2P7i>o1!gow7RvYcoe`te}UW%^x zffIGu8qooTs4;S*iSPXE@c^!8mpvVXgdbfApU=0Z2TK;nvuz_|c0f!mpI9cZ|2&58Is0 z?S5*jY)EpG4iEQe^BN0LnECdor!hs(5kH?WawtmgFqf9-$BAg~Xw8DraZu3i+}36_eB};}}L+2&M8> zk7!D24_;+qnj0Ruqq3H(5Um7175wy&^}&h-FYlsmo!H}BHi_sa9JX!nN>B?Gs%4pP zeHw1!4_1ufSoOuo;H%BB5yE#==+2#)l#@AIGdEVnnb7@o+uzOS7d(XqcyZ#*`vicc1R6xbYtG{~Zt5}XF(V4`S2PnA5g6<8lP^B=aUyP8~Oug#@>;^o$7h4YiG zt8?3{+{bIw!W%P8gkw*qR+qYWw}1WmwU1k6Zln=&E0y+G&p0>r=&e<5dcKBSIt~5p z4CN!mKIbVqmAAN+uMUn;Nk?4z=lqWIZW7sBWmBJgSRhtr9g4o;y=IG= zv!7635XbOHN69`GHNh*!cfnmd!#Lkvw!&T>V;~-_BQ-QX)yBQJEN0_423FK#Rfp}e z^i8DV+Wl59+@$cRm%ixPE^9}SijNVKBev(`7U!p8lVc23Zmrtz;R8-9Wc%Uq<*|3S zq-AoU2jBF~t=t+1JO1%Hle$gs#e|j^aeDgn@Q5xQ4kYn|gqQP?hC71qwiH>p`Ff2M zuU28KPq<=7iCnc|`&r7Xo`%m7%6L0k-b8dRw&&Wt3(I;Hh--=?#rtzz&~X+OPck9C zZpGMseYv*UPKy$FiuKwshv^9`5e*7INxrwu>{6D^;c(mWkBsT{k`#jmibc559nL}$ zdB+()GB>R6Mf9`OSbDyvq&=0u3V?;YqCG!)%OKWkbS-(`zzfY-<%+1owv%fE4sh5Y zp`Yj>u^j?$X5Fl3-5M@~6T96AMjt)~Zk}Gn&y^sdaBmOES6T+ka7_sIF9MgpE*j8E8lW?vy)O|Gq8_$;=gu9Bp1kKTge0U)DOA^1`#cq!v#Zu`z5GzPC*o{Q4>_C=c+pVQ{!dB|!{&2N;$j&!es0Wq$y{-?90{3cEq zo@L{hiYMYp&fV7V3$rHdug~{UOyc_w2Nx|0!kbQY(cMr5p~br{@i+adrvD)#wEoVDotR#>aaU6 z+?&poxcVx9^Xyhlt(|x7DU63P?(V+wDdIT)gi-W;$<-45x$-+qxG*Pno6jjOE%{#3 z{!Pcr1U<@~Pw+^aSH1}TE}`)$d%FekR=RfPT61FQrsx2vX`fg-}Mk#uTdS&`B;G<;Z+a&1DhV)XN_ULoag3`kcx?8 zFHeNL=`^xliGCt`cj~b058OTVY1;k&w)6kC^Z%mr{|@{A=iC`w39bF7sCD;*lv>7_ zv?w{fbx2nKUy`Y6B2@Tp=)n(;byqQrx&fQWx%AgbuNL-_8cyDV)c5}-dk3%Q%b#9| za>#o9$+nTT|4YS-9LOl78>OyWTvgU!=s2W-t)9;X zaAH{=CNkG3x@R`u`@{cGjO}Y|FztGYQLfb4O&-~ z#VT$gI}L@dEp&{?|6Kip<>+oDWM0XUne5+o3rUH>`C+PgY9GAN|>L-9MCLmX11eu$0)F{|VnZW~0ILv-mzF zKIB%8H;r85dzI=nR+VT)iQ(OzL-!E#jZ#0V6#1CHcYCa!R3vTgHXPfzZI zYtgdR-(q%GC~+xIUtW-X{BXWtBn{PSv8ZzTXY2nmp2-*=TpSytdJut=I19-`*Ptog z{v)9`zZg$%Uex^Q^XyJ=J)0G8G)b9L)Dsc*8u7EH65e{gBYp2ramNjg3|kJgl;SCw zi?O?Z_6kn9zB4;PkDYN({|Zo|J>~!)7KfAfwiXl3{C(vN`6Zc;etPUb`wkIAhhZ)J zfw#Dhd{Q!9n8@($GJ5-=FjB8|g=_SKsh-_GjsJt?c+}WJB?bE+;*j;jZ3oTox&u+= zu9tdV)7XA>E6b7|`>5z=2}pG{daspk%=f4gc5CdORsYuP3F_Qvw$9<7ZNz@3WJ!&g zDl+?n7uz^p1&_BT|MW#{xiusomc7(8*EiPUldKJOI)B#TKYxMB9D1eJI>YXu`)w`B z8LoA4LpuIHJ7PCW2Dg3`kWrmHz5-xo1KM>iP)>K#&z@|}_f}_7$4d6mEaAA+)8fqS zn7Z>PQM##3C)4aHN`Qqw`(XadZ%UZw^)>j|q5T~wof|({W+%~TaQdE{eo|8grzIUzm;dx*-WFu8KR$M#E>tji`%kjLN2`JFief+Tn87RG zI8@XqKH_KT(aZG-YLOA*{sZ<@V#85Atg@efY%&qGdaO+G2c+z7rr=FU(w6`JTn4J- zZ2MNaDOnTY^5QDXD@ohxlXVQ=cH9xDwrwkz4+oS^s&bh1KKb(0;dc%Tuz!r2f&-EFl%5OFLnOcjQ63&>WUjXdbT>n!!1MMWjBdzXzphYn*u z?+HI}l}?)3f}YYGYP!S8vzGS2b^W)H+rqmL`1z~*SNvvovwQ!ZJUcHJ&(dQT#*=b0 zEvq`4NR33?@Pj>j_SD*;44q7O?(qDGHzqw8VeCL4`fjym=^JuocmF-mBJUZE(Czt2 zSlv|p;s+dzI|2@FlqaKEsQO&x2OA-L@1X46R(Ft(A%ON&Ikp@Z_U~(a*mqa^>2a@s z@GSe*$uowOO_=AW?z(0&Hq!~)=j7KQjDw!p8&tq(S;W7mv)Xi^v~U==4*v>;l#Mjc z;e5igzFJKDsk`Yp@p6us4L*V^5uzx?IS)1OW_I@9mu1}uGz<$kpsrUp4_Q`j)dv18 zmT>aH#tzKgz+n~X_%0Z!J>d^=XGw>pMBpet$5Yi#B&VzJ{%LH9e*;!9~O62 zHp?sywTEPOc-na*!jPpe)0i(4X?Om2$|A`KSi7LEir~&c%UhhzkHf-J+qbJ8!=|IA zM#>JilaC_XPgoV+;=I}M-m-r`n?Wf(@W=akp5_e7-4_$VKBNjxg#GdLbnt%8{&selrgQvQWfq|nf5z>f zzdEDmiG-0&wc^-W%&+@#m6hp4rp>6N&-=^8%dy2A{1MPK6X!#fzh9-}M$}vvF5ER+ zhlHH!u~7nQ-&k2zJNY;ER`St?rtiv~{3m#`=)wFxkbxuH)Si=b;cU&HY^j)^`Es1w zWw!8pzgTU;8UCC!fH~a-v&{J6cJ9izQVyTpny`=kJP5x%IDavR!H>Sg!vFDW1dE#W z=#~-untw*{?xUagaZb*z!*>7ayO-y*7pJ+2-V|PeB&qfz<8K&;>05XFL$RD2$OZ6) zNJpuc1?V-Un1RNO!Uj&mnN@%J(oREkc2~$iQK%n6r#Yeeo26UvcSyVbshUnVVhJ~N zhUxj7*;NtJC8$C`dHI)#!%|jU82HI@q^_P?Bb&+CN7v_?+saNc6{gQoYNKU${~^V| zcBk3bc*4u&wVOh9SNa9}D(P*5^S@5(rhwA(Zi`dtM7DbzE18nS!y zyPg=X%bw->%VV~q&)__lEj0_|}Ku)ui?T%DF0 zuN@@>M5fUk*785Elx3uiwrtjl!iBB)adxhGQ1ISvW-I@Bt#5iuNumd#Vv*a*IGblq z@4$=ji0P)bpVL_mnRI6Xx(v_nW~RVe3Z?@|oP)g;0=xdHV}xKT^j*}Ue>Q6Tg3dqM z5wVk1w1PWAX^L7qL7AHwbH~{siKvsfZ%F=u+>_0}FY~*RWtV@Ex|`abe>e?4*x5ZX zF`lzSIaMHk4jv?@rD@1_tQ@OG508YaaxDtM7t45Yxg?^*-PC?xaq11n!QOHKvB1AC zdf{(89ax>E-2uWrQV6a!GX4#C+mDS{`O=xR9Qr{e&&lhYCUb_UBiE%s(aGJW;-l#6 zzI((G_C~q27SHWw#xb(AH>o#lhX^<2bpNTjU6{ZmX*{b0ZXfezC@I$GT9UM8jAHKP z*?qBIo%j^xT7fNi5k5}715%KzUMaNSSaEi!C5!g9m!3}?h~Ka2TQ=3TT-D1p7!^KJ zw(dvP(qD#dm45hdKPo6;J`w6W7k|0+# zc#&(^?n-ARKTgBPPoCs4zN8t-VSAq8o_3T3L}gYVshDVH5{IjOvp$UE=l-_I#O1A- zqGRf>KI_@_oA-Jw%4)1kz5VYyen@n+aXG!tXCLUlGY{M*@AO<@^wX|$pqyYP#V@^= z>WT48-*(t$i*N4CRN>-KL3fm6L5C6V&EcaHfo>^ZbDBj&L<}rhj9*VxgiFdn1DG%UbI{`kcr@!*mC8kGPck5>bcpo))%Kh6bWi`J+SE&l+gvu5F(#QBeU zC4)_&a=Itr^(CE)kn$5=ee|iU{Zs3f_k9=A-`=!om9D@ilFXD?hyGTHfK+5%V>m9K zcxt_nViN+anNv-pcRR;OH=vfVG-c4$Hcf9j0)Ur`d}`qS#cQire?!_V7Wxf(c`C`# z;UZ^J{n1s0En302izg7}7pb=VqbqitfNtk7xDnPWKQc6+G_&OBgc!G{e=BmZGJ4+k zihBrZAAo{}#wBz^ZDXaMLdyS~Rtq$;Vj$iZwl|rD8jZBrX5^kJo;9ZuoVz2fVx*Nk z#v>g0i#P|DPkW$;?_f@?#Ah-L=mepK0ywO*yqz8&tOWC}_l^F-PY`<3Uiv|9o#MH_ z6;S>YPJHvTQ@EKzR+#`v?83AhY{T(<*P#|~YQE=`g}(lsUpPn2@CueMjOH}njkN`F zCcjJ?>isOxc$^0HM`Np^+sIQD#f>)%GA%m}GK1}uP`O1DH*meqK{6UH=?7wx|5lWl z8-VmHoe{Jij>`w>(qqB&>teL)wdd4;!osEr4^Gx^)>M3(3SzB1uREuNol-pl5vttD z9xb&Jl~y5w3J;TnZu5%iMy%jgbSf|!r&svve7Ij(9(+lMPgC!2)v|>ND&2F~J`Xo+ z{DRe=l7ZxS(6JJ1JT!voTLxOP28KKb-;zf+@{<%0qrfrZ2+FGBb@fDAK>m;$MBN2$ z;>a^-ji)5YI`@zJ;oKI-lT@m#zdSFV&Azi8b8%05wkp9}%Yqg5x54)#(JuYoxJ?7W znX%_Z^jDH>t9=gb5YoK2dl0JdzGG!;=F)-1i*ar%loQhL|-G}U& zq>xM^kz!J)tc>=??QP+Zy#8hdf2n8}iuYq}_}_|pzDfbMRa-bg-#b%3P9+W(*gClm zK+^q8-02U2fBJl5x{;%N$L-D2@*I5+)PxLbK=TgIEt?q0M;VTmt(h+XJvJ8gJl0{CLmE9}8 zxnX!xcNHH|e_VYo{SD(1UH>R`6@9DpmD>vQno`a@H7boL7sK3B7HqmGjW#rmi zsw9oyemDr{xeUwrgBG6~B7$e9-fOxez;g84XHv@g7;apX>1tepkuV~sLYsqBRa6Qd zg?>6k_YB3Y=5TRphuopF3cA}pN6$scK2ve-JfW;{^n;i$WPwYShjlk<*p~HG@f4=J zdX)%>-EA%6oG!&@9BhV-e5Y+af+vGIZEw?%+BZ25&{Yo1PtS)t0|w{1YZ z(M-`v>2^pUn1AM3c=+qD$O8=KPOx9=eebXOekMi1%QQBNLt-w5RZ3j;=QKDyr#?9S z8Q;djuWOebIW{{vbPg;Vl~{_BRavO;u*B2zL|1z(xIv<`WLDfb zy#||5S^K+eJU2k(LLG@XC)@n7GE#;-zfF>ky7p;Dq600jn-Qua3-8p0JeuJMl~Jh~b z2VJc}nm#Rp)9&uuwmjcvLEoUcVlMCB9U;>t9y5Vao{L7DED(rpj1bzkRWFLE3QmCq zJaZNQ2J9PvSb1jtJu-7=H*D)~{|`p}V>=Gf z@e(Ahd?A#TNy8?6Ns4TePANhj&hjSgA?3fkSB25nt@`D8)t*<%08*Q^BFTR6NP zY+X;aDN|c|Yl7|W>+^MDa5z>j)+?H^xG=ov7S8|Y!ttbw!lmf+DKC6LfN-2(SI{fbvPUuSEfKg)9#H za!~+n*`yVMOI?w3q4Y&i0ZgliIo!G}|gQ~&ASb5A1xhSTl|tHcyiIh)U9Qu>w8$E#yL%^1FDn zBWAV3vfq0?b!r}8z9ebnSg~sxq?uf|CS2)C$XuPiln@lUAsR<_PlVRZBG~AFSFBs- z+MJD(2CfCaGdceWGncETY6Ip=f+E5_c}xy&n>kk# z|3eJq$w^loF7jK!i2(J)%F>d8l)L_%{7;2_ri&|MRbnB5Ad9e~bR4+V6YEPKgq|ev z<;#yKB2sjbgg(D0Ls2a8Ej<$<2IqB>`u!L%54(dywb+aj*S;3kZpW|_cGl!6k~0e4 zF7y$+%njkgfM2i2(z;B(JH6Q8H4nTYa0Sb;@kk|5$2imk&yHR(eIVc#z~5REJkyFT zX~Z3a^M_F!KvS8?o>R%&sv`?y8_RvabD~JI%JRiO3R=V@d?}NE4oKl{lblyp+JEKyeRk z#d8*YtBsSBha+(z_GaXer&XLKoZt6yXu)8#k1t_3SNw5C<<-d3$QM#1!7ozDiA z)JL_xw>A?3m!=L=CSBE0t33iq0spC!PU1h{&v72?BUJb(@NaylqWSVwLwBhQYP=?k zjPj!LuDG3-Pds5=6SYoIyVJGVf*+R(O^Nj+6|0GDG{Qwj%2?%j1J305uLx`G)O01m z18EVPS!*3JoDczQB(-E7E6pf?C*qagD~T8*qJ0-;62TnGB-E!HwF*KbV==Yo?>4E_ z$TgY_-wA}>A+&5K$`%rdytqfO&<|JGbUp6Uc;a&MH(tz_b@SIh?Fb;$#z>poE8#*{ zdV#-pu8aP;T5p~6S>*8j5gdFf&2P6khJBpKWL&2cR>9u0LG6jaif8n>a|y0Jt&eCzhF2vNC!`E{`LRxQP1Z z^1mAkJNDl%yg1v{t3sfZGoVE}0(jt@-#XbK58g5VyF94joY@SU>ZS!a$Gk|uoD$TI zd*6Ewws{SrhW6E`gd@ZtI=%O_u&IL};dV3D_U4~o?gpo~yD^7O&uPnLjxIL~aUz~a|4QKS^ zzH$1mOPq zsp0Y(Gy|Xf6347b1b;Ozp#Gj$H*bgXHhVn5hCo`>U{jek@81DOn>@zFDhqT~{4Ah% z3+m^zh0~||J9vcmjE&)S44}lVZ+)3w+@n*_U?Zo`eqc$Jdp6_NVT)jX=$^ zPJVzGji!46gPU=!IQjgNhcXUM19GI|_#}-7`FKm0BiT)lq7%lK-_d-nLOeDPgl>i8 zU+0G$eGOYcz#9AG+wa$XP9>eXU`F3TFIEb3mh8&v;5&t3%H#txHZqxcg4geoJYxOi zNn!_Q;D=xjf?R)BxCxUPzWoS-qD++Zv@VU`AuA`%nKDA;jJJI6@gRo?SRp(@(UZD+ zwooYEvRkXqey*fafzmTkEz&i39{Pg-*cbWy89bUiHd~s~aL>gEj z?tyk4yo!Kk*%2$dHtVEk>#}>87Ozzukwns=U|%7gbDi7|4NLwu8O!y)r_Y~Xy;{O& z0;6hOBajF>kdF@_WA@iwBZ3>ha+|_6b0^2CE5!)Lm&oR%iy-NABy769+rs;7smTpEpfB+P_){_NwKZpBT8Yu5q= zhog=hYrDO6^Yj@~KrR*miya(%l_@)++xT_jl@W2W5++?-xO%$90P)vqpsQ@D1nKI% zX=IK-;b{UJGPq~wFl-@aTWj!IBx&xP8{vs(Bd_2Uy0tgbTfdOPreA^e z+4t=FL*kT!>Ya?n285B_(v%5SzNPfY;nA|04VkYVPRq4Jgz^MwyE0>3;k5B z=~J?44_A_04%n+zyxjHfBi7u730l9`9E+T&@$5*7VqsSq5UA4`ZadH_fNM|RMjE=5 zS5XG;Q8mRtB9=rxO;JqRtpJ5;1`BxSPRpW-SbVT9ho5i&yX}h69Bc}a3z}+}RIqbc zmeC%k>peSp82<8FzI&5tK;#z(65gH7LhRvEs(*fT1uhjK3#O_aKb>EVtj0*$>&Xz% zwJyV>SJKslz2EnNS6`HYu$zVb9F>ufdpz+7m8%EDrtZ++!=oL^;@Yb27MZbZyuWY?S&h=j0tT=>y50uAKIB(F3l z(CHLJ>zeBppv6Q=LQB}5>6CC(=*Y>n$I>dx^}2L%{cE5YjWo+*-iYFY+DsO|>&dwE zUtD;1`S~g~kk4p;#)XkjgLmBh@Qj4BUeksR;35QMUt%9Dkw5{HfoGT2xoNq9)#hAc-q9we;7bqle8r~0`HeiqoXRkO9`k({OCU>ikckvg%1 zPV;O9Dg0Xo2R(xI#`kUS5X5sXoi-2Wq7p#k!eKhKF|Ho?@Po@BoK3tXB_Z+B-NoOO0p#1IUF zP)l3z+rVWs{aXl6*xty;l9;*|LrCk_=hOl04$m+5PX|w4J_hndk85sp72Frn?>8wgA@=vK&=n<@a zZ>D5NcRtNO-q9-8jgw;xc`!{KPm^11UghoW8ko@34>CoK6@YjYY^3 zCZQv!8n%ktH*iV{2e^?*^qLl&L42UlKT_WHm-{((yh-)pCzfwSHEE_Ybg_NM^VuelD;#+#5Wte4KppzO|{9j zc|9tugD^(`3g|H=qkV|u44rK5m^ z)GHvta8nRl-I8n9^|vDj=vG%ncoYyS&4Smz98H8#C}vYfwyJ#9mPO(6xRuxhQfY0> zEvp#!viDbOK6sz#P0g$xoji8m_7+sK*9Xg$6WHN=e8R|qob~?PhlyMi@!NbP(mO@( zR*nzO1dVvQ}u(Yy-JfLuMwLHG=Lw_IY3INVwaEvF^XT zw<&`}rw6-D2kglk+cRAOSVa`lLJy=9-Nr;MDKYlnCx>ja zTWrMs6SCz-`P+i&V1E8GuMi6$#m{W?D}09qjJ8Ff@1(599Hy#)XnHWrTb;#_y83Eg zMs~BXmDC~m;xuOMCaTvaacJMD(d6;FQw=L{a+{%(ol3qoKMi~6ph-Tfmv|(ebOmK$5&-8!m#LL7!+-x1<2t{`J*RE zRkE#wMPWGyLEqePsYc95C!C{l8b2>T&xdH~mTY@liQI2IINz(W7CmDAfSlUxmU;QW zxM&_6vxXB%&s?7lD9srJ)1Nz^rR#&2c&4#%p-Wi}?@V{^;h4%bM$Y$Rtx1tmB(gTsSA>hk4{8UoYhiQVlFy*4T)1 z?x^tjD@`wsua*H0ec^(ndC&gBj=MYo!RuJwTF&b8&v0~W%j)PppVJ>@p?xcpcIUJr zV4R9M5`odOm?uC`Jp~n}5qR8y|Ii`M^1;98*_A=QPLg|%!;K+C{vU_ieBekOzS!MG zo%PBTtiG2lmJhc<%`F=5udgt=ZC3Y6i`2^bi6FI52W@sZ(PM0Hl-(7meHU_iKS9?G zNShQOgE98#+k@?W5%A<$$4wbyuiLrKNT2s2^aze=$4#3%Gfp>pabMN+YB6L7y+^HgO-*zdz7(U2WbnCpsTow5^cHr4lk(&$opx0vB z`kx_$mvMx$cU~?qZnU&_Qflj?F9cBx3g$*D*r$G7Ib^9m3AZj=?wv~tNd6SPl?s9! zN#PVguRpz700ZRx$=X53v1rQ{mf6W*x~N}nm+&vF!X9Pd-KU!6sOqc6#Kpy37E7%} zoy%VjOX-zkmiH2~+yRwTR}}azE|7>9MwEuO znvymAEz}>l7vmEmBfjT|0)P?3?_cA#=^c!rB2;RwSwHh_e>|HN+_D8?^P@E2YvaJX z>>_er9B=AZif<78neu<>`h!qQ@=Fs5$q`u zuxnj;5U&_@`M2Kq(8)=fF#;`4ankRXN^__N8)tCTV)e&`pmbOQQ0@|Xv`@3!k%2_P z@8|y1J)rPto?F_4SIF_GK)R#Vt72Q7HqWvc z`rDFUs%GST!49{+m9+1sC|k!sQIYWmHODgWygo5MZD-?eqQ+n zn`>yIV?I967+M$t^v5Ifr6O)V!eojhMZYWGd>+O>s5&RZB~7Y*6TZG%JQ+H-JYoMg z{LnSDPgZ;eO5k#oqtkYgYKQ&9O@JXW_OJ!}^k&zgEnA)8|6Vcd9eKOC?nP}>{_U3V z=C>d5;e%JBT7?dZd*nZvZ4QbNFejJg4i&(lh+&QcGk$v)3gij}Uja#TZ1|7GyfpTm zcfoaRnM3EY0#xRT^J_N-%=xOtUnS2C`u21dLU+KBJ+;NBDBZGpKrlwqqgHt&U223$i0;dYqP>&+z05a;lkqfLb9VM%no=`B697GZ_jd&kX-N z8)&}V`x3&b%cp?Hk_Dksv~>z>1uS-GJnpN%U*V0Gppz3_#O>wA5zkG6|P+m497tzSxCVsa3?uCz|%YUp4D@F zGTzQNLPz1KrY$*+j)=Pf`p_l3yhV_GT-=ACUf}r80QUkb%idt z`&(4_M767zBbgTY7?*V4t&bJMKDh10w`irw4d#fSXl{%m7pgeAW@%^wlC!E7Y{Ulh ziFX^X;TlHD< z`7k+8k%NE!u|BvHxn2QAb>o2TDc@R$PNlmY6{qd-+qg`^4>NXH@$6xZ8j-sm0w;Q2aW+r5Iz&n zG#oWR8*qjTR}O_6dsr7|e}1%&$j}2{#u&7kyn|!gKt$L3I_Y{Zo1ul?UQ@7f$l$_- z(c|F~M#{sD8EyP3^W%?jJ+B#dH^BsXtr%PY6K24OS+**en5rF@I5AgD22{0_?C#4` zpRO6pgG1@wXhQ=V2y;L!WP9l!%Qfxz;LnV^N^siVeOK%@=!AhBQ@6^Fb={MxmI8tf zYr+_iyc;24ArUk2Y)LBMqBsI}l4!caKP{!FxahwU?7F+olkw=mt&U^|f8x!rB|-z+ zB!On2L`P)|#!&@wsAj*D z0O2=YrC&$yfukU1sjk5V5n7!i20JS`3){QkPL7CHyrI{$&n(^x8~_qRlSTz#5Qqdn zN)=#E=%^hO!3SgceY|fj!5F#H0l4X0TfU2bbeSolsG+S6WHHzGFTLpq*c2izsVL0_ zQ6_MWi`5?*3OhsoM`>q5hP+N*JH@DygCdsmtZmsOVi*Yy@D9fUbR|*(&G3qFFOS6n zE7aG`(=#=C&?^BE`WNPBGe$L-d3Wf2;53oL{~;0}2 zyF*f!SmlFJK26VbeV~*{K>)7w(ag+v<)Jed!F0+8wxp2wbv)^w=V1s*6%!8v_>$1f zjzzaP#B=OV{=J!8qPQJEF!o!qns3P^0}ma*A<^yf<>=~2XjoYet7EH(a0?c-5rwUk zCbbGg2zQAKO$wG+Pk?FYy2^2uGyXo`S*W}j$MgrU)C8AG@)aBJ7Z*3uS|8iPfth;# z@})UPBPiVrw$hDMhEvfJ<~rl@afoE-mL$ITzTk{xew{snNc0rCxXqA(>@?C1#NlDu z2Hx7w?;YFd2lU_Ez@>Ep&FVCTFDuRPf_@6oZ>~9&k2;f40kvv+GX}8ndSmRCm8IcY zaJt00TAr4RD+?9dfc>j}xpX+?{X_ZrQv}?m;(1<|*!ta@!Vc7oj)sG90AdHU=f3y=}C6rofS}th6*OZ zztK%&t4pi%kenvjRC8}q=f4dE>^5`&Fo6uB%P95F5{WZXCTsyhvg4+Wu=n@_Vo?R~ zI#$5_d^YJ6hmHbrXFyK|9MnkQn4jU&8X&B`;Rm2Vk&)U2^ot&)Ba@;3u``p@#exDr zU?7y|81m`_3HxlCAh~ZIYKomK4OyB@`rXg+8@qR0%c9Y|BIMXN+vqu!c7v7p%^=o3 zSL?!sD zH@~$L-qHCL?1k}HLc$zu_ zWqxRuNzCwk&~ zyp9m-QgU2WGqo1!dOYXQ{seEW&cFIxmWm1PE>!*DN@h2h| zH~jI!sltoXYKY7tW8ZR!p0$peBPhAjXQEzj$?-5nJ?ToaAfsL1$9rpa{M{0j;TYXC znJY(+xbG3R=-G#`oKsK(h>Y8wD&b^^>7fFjk@jNvKBRXNnxyr&tLK9A{1&=(&u+x= z0F!axpLF7ER+;PIwk3& z@19AdO}Kd*cM^H}-(3<=AZ))Mkc(0cMbQJtCm$74;?*;j-a7b%^W&Vd^cu7(5~L^E-S?vp_rd{?oACozgc z#H?I6$cQ_f%9?9!Tj(BAlm7+Fo`@`=Z5nZY?h@i+R7zhB!7902Nk&Zanv1SwmuiM+ z(BFij@eG(&Dxt*L0b?FLQ1uSy=6p$a&AYKDpfS?rp&JBeop`2GMqR68AuYew6|zti zoRa)OR1Vz4Qs=$5Rxe@~9F!?k$p`a{{K;$NO~Xv^#NRLch(@&Vg$WE(l`*F zd{)lLN!OUtSGQ2ZEz(W+hWCy}fA^|5Fz43{ze1d96T5v_#E}o2utG00V=tC!&W4PW z0lzHS$Vb=lA^PlR(ZXM@*pXOe%%Cdy(q@Q8Fk^l`vm>7v#XZJmv(N~w%;_<(-FK$K zgi0}?ifxztFpV&3sxP0S!kd6ED*RfI^|u-0+EkzY*O!5Y)17fgr{@gueEG$UyQD+F zz|ty3p|d5ZWcCGbM+81l3MxZZNFIaQW2UBp z-u|Va{_lS*m=4NMBtYL>RfmOA|M$Hcgw(!0MjU`L8?N#5Y=_|r_!lnU$VN76HAw@V zeDgP?ZsTCcU?_LAXqz}eX1VfY$1WhH`CsR`Qtio8u7hW1xBg8kAdNtdk1B*N2+o77 z1GOpoTDeF!T$l-lGA~HiBN`4{9N5!_}VHOJ4{zR|o#oUKgxANbx6CU<_lUKH! zaP_ewooLpTdl^e40}bYGDq_f@2miv)tRbKTy78G9aMXPy=KCoC6MW6avMViwuZiVi z*(LI&NLsbiZ?%wU(O3KQ-c0)~S#yy_yvWn76uFJ@Ft9;{*I;!RFqoTy zGubx!LB3Tv}!ul5l{|kesIqcXJh#GifXa9Rt4Ir z!7r3unkF#r9fMC`HY#_K94xbWpT^6Kkrj}SwO1y|OID;-wzpQ6a~ds!Jp)ti)5)P$ zVkP)>2hx?!^X6ohH|!JYShD9L*>TM}jWhW}*{zkpV40mn=#KmwKbX-Q!CCFswW<6^ zpy8@^R_WEl?GU4ujP@nPc2^nyhES!=I0d(<-8pZJ;C9~ONg|SB^WHbrsPG{G@3H?DikN4HmIK||%gvKgp;esosZY%e{il>gzz9yWR$?({R zc0@*sHZ;n(eS4r*3HGRq4FUS&ogS-{%d4f+Y?^E8@wJ0)RJ=3TZ7yn2I`G>y60V>!7Wj;dNq{R;dKy*=4^JZ+y78xyXz7tL z-bV3}iR&Jps&#yB`Ad@20@%yr7w=dYQC!N0rDtoRrLriQ|sdU%UtOXl11eW;U zbn0JEx2P!2_k8>5)3eC{y_dosy*s8H*6{6^_OH=fx&ZT&C*hgaf>?|G?RFgp6H`2! zUMKJ$@=>Vt<>#lEx%qKW{AQfCEBU;H}56bQxwP6FCLaOO%KcY zSci2hStgl>a&0oT5H7h27A3@7s^@to1!?8Hkt$n46kXYN>#wPJHt%U{EaSsb zn7BGuEL-$QR2iq>K5C9==6||HZMqRh7V=C*>nJa#E{nDdGAwOZE?Cb$I5wecu+%+s zsTi`ZRKS>AA3d#v=&CT?9IRklBX9`cx0r()mUeA$5hAy4J2Lde)$)k;bMdYVm-=gWdQR%hQC;=RI|S0NY&^F7<+?3-DdKDV z_WYXi{QUmM#4YMpS9_Yr6yDqQ9FP4PGqW&=?Vj@4voFuZoHE8Fj}7!iE9|@NqpP=Q z=UrahSsEPN>Oiy)7(V>wdf(UY4cSu*V#H&MD)Yd&GGm=mX_}fA44Vwo z9MQ%Q0hOFmXEY@jP!`cFam5{R1K#Vg_k7ZKe(#raKE+4)@jUl(-PiiR{&&c$tLjbZ z-&fd)e0{z`pcoXo1}Y9T{RuGx90Ck+)IwkEZYO#A_btQi_Xc;)PAj!ROB4@O=B|v0 zm;vE!7ltoA#}|a@hS;`#Sr%kSvkf+8o{x)cmP-`L{!vf8%)j#f?XiJ2OHtIZfDq$0 zQ~bAp(ScSiq5KWAS7VOL+x12}GAjVv+0h|8C=uH$JOxP{&W1vb$2BIk{mLe+Xtc7$ z3_r3>zdMI>QKSr6%R0@gUG_K*YAYOiRen#CR1BOkBzi>!)6G;|S9cCayV#JZetmDy zOaE)-KOc78btJ1(CafJEjhe6BkFOPKO===*FJ{ptr%HAecpRPM)3eTyvUN?aAel(;<|>^R7VOA+^rVqu3b8iduMX(E1x+QmiI!f`j|tA^jC`UCY#6O z8RCP%W)0e9C#=^k*%6(VmNxm?&CmrKClCs;h-NfUC5O)$g#v+T@SV-F?1f+4C(J-z za;j?a=Xb5C=W>L%>gq42j$(KLCD+EvP~mY)Zu=iQC}EV>=m(pFiYhf%Ic0VWgfbXS zG+Xs4$*uSJw2|nQm$htlV0war1Q$}q;{6NweT!#5@xQ#?CKZOI(Z9LG_5lx~q|+A*vC*hPq7 z{(C_#H?k4=`y!C+sV8TR#hghpXN6U}<5r8^&jS zKG$XLOpibY%khIS755xEM4X@08P)?;VLM=}DDV>?J){Ok#!MJix=J0tqyC-c)y_AR zSi8>d?r!35$Ny}G0=2s{R1pl+e4h?OJ5AElq)tjoN(4tqcu=RXn}9G?=Xoxmh9h{?Z@vQP^Y!ryMG^5m9d~t=BYgpU1yI2Za!6DvwV!Plmyr+Y z`)d&8SBMH~5Rr&sF0=4s5Lci!m)iy++Zv;GUU(_vnVXq#@9sF<)~AJhs5fPNmlt|Z zrCsY ze4?KT>A2*uvxi45=%Y`*Nu6*ooksBa7_7bhK_%3hwb*>nSs6xFr&AGhr|9gmW;WvI zC#mJi@#?>N!Wgr5v0q#Qo7Emgq14lDwP@AKy+7Bbpu9$b&yxrXCF1)b3Ss62*U><8 zWCg{^AJoiI%9@O9Gq){RUg2s18jaRspVhcoX?41BI{W515&V_UckPIo_+-XIcZ1dC zsYlGcuo3}W_qtT0;U0tth{`QRkSDti4fkVrzGZQW{~z1PbBx1e_tZlh&2{Lb%iY>r zFsRZE1J}(cK5fxCG@|#FXWIXI5MgmO!gW|xAwT2%2QBn}&Q&|9Xj-7Is$we!#rR(1 z-8}~<59VJB?ol$bRAqn2lmAKtV5q>Xeht!bWxGful0&#MKTAZ~<>TYiUp$|dV@Rrs zF>3>xHcscB%~MiBQ`zhjIZJ81QKis+a!sxc9S%W8{%*Qm(qeQVS%R$qsPD4#p|#%j z>P&f=InF=ZS{?wE%@P7_;HQ?Hmlo@QHM6+|f~)~!47;61?NdfZMTH}-o3p3K5kM{&=_}RVr-$?a(AQ= zZwGBZZIIbihp*K^_GQ?Zz6jJnTMuvtP3RE17>_ONqN1XC+(Op-`pM(GbeiJ~3ij1v z!dJr(9=AY)Wvs4#$h&~MdT$9Jo_M3>l-T!Q*scMtuuhThr(h!-f={}+mH8MNCr;+Z zjt)GELfc6>rwF2NP(iow(&<&}GHm!)McOQqgwCO?({~?76qrm*%R3JVSKesnqmhv^ zynk{`XT}a%)>@bXfHr%2dMfZbzBtTk`SPLT``<$LR=Uo73_725yG0n3l?Ar=wnrjlC+;jEj+T3MilP8AWicv$`X(+{b-wH_hr{vYt}fcI zMH36Vo=0sxUGw-Nc;LoNnmfwg*N{KWW>@<%YnPd!0lDWxx9j4ST(`8;>-7fq?VMJZ zfbr6yp&?&)>VU%7*h}N(_ZE#`10Z+w?~Mm^9neM<*Pm*uPeKq^3J;DCzk=b#o1kY`R+p_eNstuyMvMq1J|8P8pRCt zFd^lOX_hN=(q5uaxB5R$`hUH|k2^ip)%z&kQ=IINXZoWen+yOyYVWC0(?^pvCI0zn zr>Dm0{}ty%tpU*3sQ0B6!HSxi-(;z$4lotnSqpYBL&Cz)L+$*`Eo(5OlTmAO_?kd+ zM|y}R^aL4o;lXfdul7THz663+x~}~mH42JTb}{Q-y-^DU0x5M!sT~?BC=74> zTKoe_?n|NQm?~!qca=%#hIx@$xT>%rHF#Fug%CS&X%APF0<8Bs0IerVQcs0zq0xoa z_wChRD)$46N}`*%5i;3QJcM1Wxig;gO)Rz^&BBTs0T1gRNIsq3MH|=XZeqcYdu?aO ze}A)V;+t&=AsoJ|+29-oi%&FkpTY~9d_IrIcu_CuoER*jN~PKYd5+As?WnMDRRQ2` z)qJP-H+HZBkjH`3YiO?opK>r!Zfj~gU^2@g2{+tu5mN1g$Kin_Af=(-=50@a>OuIR z%Xl~WJ`C}Ri#EeJQAH_w$6wG~K{T9opbmG_wQ9ak{+YKMF?Zqx(yAZngUGC9nOv^6 z7rcC0+R?jp=b$}RkEG6cUVHaegm7I7UhcII3;+H5Pfg%kve&rD!0+JTo5yT2XJG29 ztDl|z8t-5)I8d`^Tftxuaxd&o-*sB6RWIyp}B1A9#k2I6e^3vuC6X>=I~>kIcXm1 zMOFSVa_?lS?S`P&j%~@CwgUdo$$4XZ{%{x3_%)tj^ByE_y@hk%3n6@K^@KrgaUwZ9 z=K~BPd*~0VfMl1vq{@a-d`4;|27(bJSQZa-}>{T++2?< z1BV$2pQk0+;KuHS06f4>wLs{~WWwbPF7xkK7Bb|EZ@kk%SK~aOO4cPb%#!;O2#gOu z<>lqQ0~&3EDRY^PmWc_IcX1z=#RQ^IQM-D9Td;osuwi}iwwMM-Xd8T}s%u@(9m;Ru zsH9Tq9i$P)t6*hR5~f}z<3~WiR&a~9T4KP)NGwGoC0H}FXkw;o5ZTYqPtQ$4eoM5) z8_I!HQyqz^w~BOvI-I`^6s%fRpP??e#`+Ut;ex(W(daLi(X|wpRr~Jto%HchSURtb zY9EYgp#pRT-?jf)pgh@dlbt7|_op}f5~0y(j8KPh6K%A&Z}xs>;^Y74ZxMjIjOB&Z zCuELhLyT|Ppyaq`i(}QBLI8|TPWd|KI~2;A-CKmCl&^U*apGnCJeuJ}dbO@dS7?wg zX55if1qM7B%6tCYnOd`ZHLh5#O0j+rH!LI7v-&zu425zW0u^$3xCqgO{3{5 zo@@XZXSprpkBIKs>l;z1f2#X{8lcJB>0#4IyBmJ&71XZvEr|L8{Qbz%EiE1QBQ=2e zY)k_P8Lmkx%{vAMT$lc%+smBvHnd#%`ww$%g+S(KC{=S5%KCa84>+Vd*{|2-ZQh=& z59WmgGkuyAit$&#I3(p9;jZnf^n--$WjAzW-CVg6?yu}cm#7~}uwK+dy0I%RL%)>K z`>zw7f9g{2tk3E~?n6v*?#_8><6)_l)qIM&K)+iU%v&7HBT85^v!CkUo(a=5Svocb z6V7UP>gIFl*}a`lf4IK_jVV(bs=p5AWlO`c(r{5`SP$P_F&ek@PoDfIWh7T|IkiEF z-!sgt%^LoPP9_%_!t0#Sbvyjv(&PW+=S7}jer&nvoW#}TtC08X-gRInXZz7h{{tZ8 B?_&S} From 2aff2016d86c95af964dc8ae0716f83061facecc Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Fri, 10 Mar 2023 17:37:50 +0000 Subject: [PATCH 053/128] more writing; additional symbolic support --- neurallogic/hard_and.py | 2 +- neurallogic/hard_concatenate.py | 46 ++++++++++++++++++++++++++++++ neurallogic/hard_or.py | 2 +- neurallogic/hard_vmap.py | 24 ++++++++++++++++ neurallogic/symbolic_generation.py | 6 ++-- tests/test_noisy_xor.py | 28 ++++++++++-------- tests/test_symbolic_generation.py | 4 ++- 7 files changed, 94 insertions(+), 18 deletions(-) create mode 100644 neurallogic/hard_concatenate.py create mode 100644 neurallogic/hard_vmap.py diff --git a/neurallogic/hard_and.py b/neurallogic/hard_and.py index 794930e..e57113d 100644 --- a/neurallogic/hard_and.py +++ b/neurallogic/hard_and.py @@ -8,7 +8,7 @@ # TODO: seperate and operation from mask operation def soft_and_neuron(w, x): - x = jax.vmap(hard_masks.soft_mask_to_true, 0, 0)(w, x) + x = jax.vmap(hard_masks.soft_mask_to_true_margin, 0, 0)(w, x) return jax.numpy.min(x) diff --git a/neurallogic/hard_concatenate.py b/neurallogic/hard_concatenate.py new file mode 100644 index 0000000..2a79ae3 --- /dev/null +++ b/neurallogic/hard_concatenate.py @@ -0,0 +1,46 @@ +import jax +from flax import linen as nn + +from neurallogic import neural_logic_net, symbolic_generation + + +def soft_concatenate(x, axis): + return jax.numpy.concatenate(x, axis) + + +def hard_concatenate(x, axis): + return soft_concatenate(x, axis) + + +class SoftConcatenate(nn.Module): + axis: int + @nn.compact + def __call__(self, x): + return soft_concatenate(x, self.axis) + + +class HardConcatenate(nn.Module): + axis: int + @nn.compact + def __call__(self, x): + return hard_concatenate(x, self.axis) + + +class SymbolicConcatenate: + def __init__(self, axis): + self.hard_concatenate = HardConcatenate(axis) + + def __call__(self, x): + jaxpr = symbolic_generation.make_symbolic_flax_jaxpr( + self.hard_concatenate, x + ) + return symbolic_generation.symbolic_expression(jaxpr, x) + + +concatenate = neural_logic_net.select( + lambda x, axis: SoftConcatenate(axis)(x), + lambda x, axis: HardConcatenate(axis)(x), + lambda x, axis: SymbolicConcatenate(axis)(x), +) + +# TODO: add tests \ No newline at end of file diff --git a/neurallogic/hard_or.py b/neurallogic/hard_or.py index 1a8f822..417066a 100644 --- a/neurallogic/hard_or.py +++ b/neurallogic/hard_or.py @@ -13,7 +13,7 @@ # TODO: seperate out the or operation from the mask operation def soft_or_neuron(w, x): - x = jax.vmap(hard_masks.soft_mask_to_false, 0, 0)(w, x) + x = jax.vmap(hard_masks.soft_mask_to_false_margin, 0, 0)(w, x) return jax.numpy.max(x) diff --git a/neurallogic/hard_vmap.py b/neurallogic/hard_vmap.py new file mode 100644 index 0000000..5e164fe --- /dev/null +++ b/neurallogic/hard_vmap.py @@ -0,0 +1,24 @@ +import jax +import numpy + +from neurallogic import neural_logic_net + + +def soft_vmap(f): + return jax.vmap(f) + + +def hard_vmap(f): + return soft_vmap(f) + + +def symbolic_vmap(f): + return numpy.vectorize(f, otypes=[object]) + +vmap = neural_logic_net.select( + lambda f: soft_vmap(f[0]), + lambda f: hard_vmap(f[1]), + lambda f: symbolic_vmap(f[2]) +) + +# TODO: add tests diff --git a/neurallogic/symbolic_generation.py b/neurallogic/symbolic_generation.py index 734718b..9e974f2 100644 --- a/neurallogic/symbolic_generation.py +++ b/neurallogic/symbolic_generation.py @@ -14,9 +14,9 @@ def symbolic_bind(prim, *args, **params): - print('\nprimitive: ', prim.name) - print('\targs:\n\t\t', args) - print('\tparams\n\t\t: ', params) + #print('\nprimitive: ', prim.name) + #print('\targs:\n\t\t', args) + #print('\tparams\n\t\t: ', params) symbolic_outvals = { 'broadcast_in_dim': symbolic_primitives.symbolic_broadcast_in_dim, 'reshape': symbolic_primitives.symbolic_reshape, diff --git a/tests/test_noisy_xor.py b/tests/test_noisy_xor.py index 097b853..affd4a5 100644 --- a/tests/test_noisy_xor.py +++ b/tests/test_noisy_xor.py @@ -20,12 +20,14 @@ harden_layer, neural_logic_net, initialization, + symbolic_primitives, + hard_vmap, + hard_concatenate ) from tests import utils config.update("jax_enable_x64", True) - def check_symbolic(nets, data, trained_state, dropout_rng): x_training, y_training, x_test, y_test = data _, hard, symbolic = nets @@ -49,10 +51,14 @@ def check_symbolic(nets, data, trained_state, dropout_rng): ) print("hard_net: final test_accuracy: %.2f" % (hard_test_accuracy * 100)) assert numpy.isclose(test_accuracy, hard_test_accuracy, atol=0.0001) + if False: symbolic_weights = hard_weights # utils.make_symbolic(hard_weights) symbolic_trained_state = train_state.TrainState.create( - apply_fn=symbolic.apply, params=symbolic_weights, tx=optax.sgd(1.0, 1.0) + apply_fn=symbolic.apply, + params=symbolic_weights, + tx=optax.sgd(1.0, 1.0), + dropout_rng=dropout_rng, ) symbolic_input = hard_input.tolist() symbolic_test_accuracy = apply_hard_model( @@ -62,12 +68,11 @@ def check_symbolic(nets, data, trained_state, dropout_rng): "symbolic_net: final test_accuracy: %.2f" % (symbolic_test_accuracy * 100) ) assert numpy.isclose(test_accuracy, symbolic_test_accuracy, atol=0.0001) - if False: + if True: # CPU and GPU give different results, so we can't easily regress on a static symbolic expression symbolic_input = [f"x{i}" for i in range(len(hard_input[0].tolist()))] - symbolic_output = symbolic.apply({"params": symbolic_weights}, symbolic_input) - print("symbolic_output", symbolic_output[0][:10000]) - + # This simply checks that the symbolic output can be generated + symbolic_output = symbolic.apply({"params": hard_weights}, symbolic_input, training=False) num_features = 12 num_classes = 2 @@ -104,8 +109,8 @@ def get_data(): # N.B. We use marginal versions of and/or layers for this performance # mean: 97.89, sem: 0.15, min: 93.58, max: 100.00, 5%: 95.40, 95%: 100.00 def nln(type, x, training: bool): - y = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, y], axis=0) + y = hard_vmap.vmap(type)((lambda x: 1 - x, lambda x: 1 - x, lambda x: symbolic_primitives.symbolic_not(x)))(x) + x = hard_concatenate.concatenate(type)([x, y], 0) layer_size = 32 dtype = jax.numpy.float64 @@ -129,12 +134,11 @@ def nln(type, x, training: bool): x = x.reshape((1, layer_size * not_layer_size)) x = hard_majority.majority_layer(type)()(x) - z = jax.vmap(lambda x: 1 - x)(x) - x = jax.numpy.concatenate([x, z], axis=0) + z = hard_vmap.vmap(type)((lambda x: 1 - x, lambda x: 1 - x, lambda x: symbolic_primitives.symbolic_not(x)))(x) + x = hard_concatenate.concatenate(type)([x, z], 0) ######################################################## - x = harden_layer.harden_layer(type)(x) x = x.reshape((num_classes, int(x.shape[0] / num_classes))) x = x.sum(-1) return x @@ -277,7 +281,7 @@ def get_config(): config = ml_collections.ConfigDict() config.learning_rate = 0.01 config.batch_size = 5000 - config.num_epochs = 2000 + config.num_epochs = 2000 # 2000 for paper return config diff --git a/tests/test_symbolic_generation.py b/tests/test_symbolic_generation.py index 3fc8631..e715455 100644 --- a/tests/test_symbolic_generation.py +++ b/tests/test_symbolic_generation.py @@ -5,7 +5,7 @@ from neurallogic import (hard_and, hard_majority, hard_not, hard_or, hard_xor, harden, harden_layer, neural_logic_net, real_encoder, - symbolic_generation) + symbolic_generation, hard_concatenate, hard_vmap, symbolic_primitives) from tests import utils @@ -14,6 +14,8 @@ def nln(type, x, width): # lacks the correct tensor structure # x = real_encoder.real_encoder_layer(type)(2)(x) # x = x.ravel() + y = hard_vmap.vmap(type)((lambda x: 1 - x, lambda x: 1 - x, lambda x: symbolic_primitives.symbolic_not(x)))(x) + x = hard_concatenate.concatenate(type)([x, y], 0) x = hard_or.or_layer(type)(width)(x) x = hard_and.and_layer(type)(width)(x) x = hard_xor.xor_layer(type)(width)(x) From 1fbe580ce15d33fd374bf23cfe272e321f22112a Mon Sep 17 00:00:00 2001 From: Ian Wright Date: Mon, 13 Mar 2023 08:32:09 +0000 Subject: [PATCH 054/128] updated --- docs/db.tex | 33 +++++++++++++++++++------------- docs/iclr2021_conference.sty | 3 ++- docs/noisy-xor-architecture.png | Bin 32684 -> 32691 bytes 3 files changed, 22 insertions(+), 14 deletions(-) diff --git a/docs/db.tex b/docs/db.tex index 50a5df1..2aaf788 100644 --- a/docs/db.tex +++ b/docs/db.tex @@ -43,8 +43,8 @@ \maketitle \begin{abstract} - $\partial\mathbb{B}$ nets are real-valued, differentiable neural networks - trained by backpropagation that learn discrete boolean functions. + $\partial\mathbb{B}$ nets are differentiable neural networks + that learn discrete boolean functions by backpropagation. $\partial\mathbb{B}$ nets, once trained, `harden' to boolean functions with identical semantics and therefore, unlike existing approaches to neural network binarization, retain their accuracy. Experiments demonstrate that $\partial\mathbb{B}$ nets achieve competitive performance on standard machine learning problems yet are significantly more compact (due to 1-bit weights) and interpretable (due to the logical nature of the learnt function). \end{abstract} @@ -185,43 +185,50 @@ \subsection{Logical layers} \end{equation*} A single OR neuron maps $n$ soft-bit inputs to a single soft-bit value. A $\partial\text{OR-LAYER}$ of $n$ neurons maps $m$ soft-bit inputs to $n$ soft-bit outputs. +\subsection{Architectures} + +todo: architectures \section{Experiments} -\subsection{Noisy XOR} +\subsection{Binary Iris} -todo: replace majority-layer with majority +\subsection{Noisy XOR} -pathological: single bit-flip changes the classification +The noisy XOR dataset \citep{noisy-xor-dataset} is an adversarial parity problem with noisy non-informative features. The dataset consists of 10K examples with 12 boolean inputs and a target label (where 0 = odd and 1 = even) that is a XOR function of 2 inputs. The remaining 10 inputs are entirely random. We train on 50\% of the data where, additionally, 40\% of the labels are inverted. -following \cite{granmo18} - -\begin{figure}[h] +\begin{figure}[t] \centering \includegraphics[width=0.8\textwidth]{noisy-xor-architecture.png} \caption{{\em A $\partial\mathbb{B}$ net for the noisy-xor problem}. The net concatenates the soft-bit input, ${\bf x}$ (length 12), with its negation, ${\bf 1 - x}$, and supplies the resulting vector (length 24) to a $\partial\text{AND-LAYER}$ (width 32), $\partial\text{OR-LAYER}$ (width 32), $\partial\text{NOT-LAYER}$ (width 16), and a final $\partial\text{MAJORITY}$ to produce a single soft-bit $y \in [0,1]$ (to predict odd parity) and its negation $1-y$ (to predict even parity). The net's weights, once hardened, consume $288$ bytes.} \label{fig:noisy-xor-architecture} \end{figure} - -todo: weight initialization +We initialized the network described in figure \ref{fig:noisy-xor-architecture} using the XX policy and then trained for 2000 epochs with the RAdam optimizer \citep{Liu2020On} and softmax cross-entropy loss. We measure the accuracy of the final net on the test data (to avoid handpicking the best configuration). Table \ref{tab:noisy-xor-results} compares the $\partial\mathbb{B}$ net against other classifiers \citep{granmo18} and reports the mean accuracy with 95\% confidence intervals obtained over 100 replications of the experiment with different random seeds. \begin{table}[h] \centering \begin{tabular}{llllll} - \multicolumn{1}{c}{} & \multicolumn{5}{c}{accuracy} \\ + \cline{2-6} + \multicolumn{1}{c}{} & \multicolumn{5}{c}{\textbf{accuracy}} \\ \cline{2-6} \multicolumn{1}{l|}{} & \multicolumn{1}{l|}{mean} & \multicolumn{1}{l|}{5 \%ile} & \multicolumn{1}{l|}{95 \%ile} & \multicolumn{1}{l|}{min} & \multicolumn{1}{l|}{max} \\ \hline \multicolumn{1}{|l|}{Tsetlin} & \multicolumn{1}{l|}{99.3 +/- 0.3} & \multicolumn{1}{l|}{95.9} & \multicolumn{1}{l|}{100.0} & \multicolumn{1}{l|}{91.6} & \multicolumn{1}{l|}{100.0} \\ \hline - \multicolumn{1}{|l|}{$\partial\mathbb{B}$ net} & \multicolumn{1}{l|}{\textbf{97.9 +/- 0.2}} & \multicolumn{1}{l|}{\textbf{95.4}} & \multicolumn{1}{l|}{\textbf{100.0}} & \multicolumn{1}{l|}{\textbf{93.6}} & \multicolumn{1}{l|}{\textbf{100.0}} \\ \hline + \multicolumn{1}{|l|}{$\partial\mathbb{B}$} & \multicolumn{1}{l|}{\textbf{97.9 +/- 0.2}} & \multicolumn{1}{l|}{\textbf{95.4}} & \multicolumn{1}{l|}{\textbf{100.0}} & \multicolumn{1}{l|}{\textbf{93.6}} & \multicolumn{1}{l|}{\textbf{100.0}} \\ \hline \multicolumn{1}{|l|}{neural network} & \multicolumn{1}{l|}{95.4 +/- 0.5} & \multicolumn{1}{l|}{90.1} & \multicolumn{1}{l|}{98.6} & \multicolumn{1}{l|}{88.2} & \multicolumn{1}{l|}{99.9} \\ \hline \multicolumn{1}{|l|}{SVM} & \multicolumn{1}{l|}{58.0 +/- 0.3} & \multicolumn{1}{l|}{56.4} & \multicolumn{1}{l|}{59.2} & \multicolumn{1}{l|}{55.4} & \multicolumn{1}{l|}{66.5} \\ \hline \multicolumn{1}{|l|}{naive Bayes} & \multicolumn{1}{l|}{49.8 +/- 0.2} & \multicolumn{1}{l|}{48.3} & \multicolumn{1}{l|}{51.0} & \multicolumn{1}{l|}{41.3} & \multicolumn{1}{l|}{52.7} \\ \hline \multicolumn{1}{|l|}{logistic regression} & \multicolumn{1}{l|}{49.8 +/- 0.3} & \multicolumn{1}{l|}{47.8} & \multicolumn{1}{l|}{51.1} & \multicolumn{1}{l|}{41.1} & \multicolumn{1}{l|}{53.1} \\ \hline \end{tabular} - \caption{Noisy-XOR results.} + \caption{{\em Noisy-XOR results}} \label{tab:noisy-xor-results} \end{table} +The high noise causes logistic regression and naive Bayes to randomly guess. The SVM hardly performs better. In constrast, the multilayer neural network, Tsetlin machine \citep{granmo18}, and $\partial\mathbb{B}$ net all successfully learn the underlying XOR signal. The Tsetlin machine performs best on this problem, with the $\partial\mathbb{B}$ net second. + +todo: can Tsetlin machines be chained in differentiable architectures? + +\subsection{MNIST} + \section{Conclusion} diff --git a/docs/iclr2021_conference.sty b/docs/iclr2021_conference.sty index 6606c34..9eb0379 100644 --- a/docs/iclr2021_conference.sty +++ b/docs/iclr2021_conference.sty @@ -85,7 +85,8 @@ {\LARGE\sc \@title\par} %\bottomtitlebar % \vskip 0.1in % minus \ificlrfinal - \lhead{Published as a conference paper at ICLR 2021} + %\lhead{Published as a conference paper at ICLR 2021} + \lhead{draft} \def\And{\end{tabular}\hfil\linebreak[0]\hfil \begin{tabular}[t]{l}\bf\rule{\z@}{24pt}\ignorespaces}% \def\AND{\end{tabular}\hfil\linebreak[4]\hfil diff --git a/docs/noisy-xor-architecture.png b/docs/noisy-xor-architecture.png index a59bb70f43a755b48c2b71fbc9ae8a90d22cf019..1f4ec5eb36676282eaf4e9fcb74941a779c4b534 100644 GIT binary patch literal 32691 zcmeEuXH-;Kx2+LcVk=3B3JRj+90VE_QAq-lp-2Lfa}FgSARr*36d6<~B#UGya#D#} z-Hsj zoA;_h10QbpoPYOqfDlT5h1KdgJ*kzDYT-`6TUoC24B8*g76v@KD5vTbvRB)+yi$l8 z!HkY!Bt?ON&HonB{ofT(o~BDxaU!KCl+RZR$>p`qPtj~L9@7z`H8||By_Pd3!)~!B zi!e}VN_Vhb08bt*vgi_5N)*A5Esy6YNn^x>IPZ7Qw}-3-ReSHGc%YR;tHY%&{Q9-l zq&Zy|q|3f~ z9IXN@Z}rx~_}cw66H^&B4YH%GAgEBNClA7P{w^B{9V`+Xb;rsB$|L9CV%I%eW|+C^G&2 zU8EO!OWe0n?c`QPHJBPX@K&V9qO)snQ*o=;_M))s{?rLtHrRWMHR z*|=8==3GHBR??wd?Mjjc-)dgjnA0KM4c70@&@3-zbijqPi359>_w~Vk zMR+edv$C@GCHc-o%lmcNSMpS@*5D3c)n3N5Lt=|2L@a_XPs==_WC*(wf@{gv0;5lE z#WI!$?<7{OR4(~;KCo)t60gvoL1O$)4;))!azsL=v3kQeC!04mYlg8LO9&&o2-OjCw*`(wi@_qfT z6sh%$gnfPHWJ&j$iHShUJ~>ouT9<9j-dtPz>V|(($+KtAdTxSc9ul^`Kh1Nl+^@Z7 z+Bt%s5BueM!NHRTVRl{yu}075eNMb~QN?T(?RzdM5^NokD_2S;IY7vF37K7{o7fZ{E|@4=78P@Zvx z4E@?)yaX-U049->=nQ}GHsgn~&TH$_l>l!xrQbDmxqtn)t}v8Wc$BpKHwZGwDl)oH%$&|vNXSLy}kGR9xvu8OOYs)0aw;lY? zPAgHjz2FCn%NVU4{9N2cwU(4>W3~?3#SRB!i$Xn(r|&!$Rpq+X0zS&|w#fy7xo$Z; zkK!l9Njeap8`i!5_k;d-hW>XC{qHIJe~m-Bn_Fm=&9{u|NX2#Ds$~I~KK1`a&=Cgc z3k#sqBCpQJr&@cWqb@PyxjKS}-M1)bHRNQW6!y>IPd8AOHw7NfUAi_7z>v{ku1?Vb zerH@}lPF)dfSUZ*v9*uUxt*UTa2Q~sJ&P1i=?N$%G8j}`jwzYU{y=7-SoRVJXQ>vf^#bMdo^i;|J=>akE zpRz%@L0Fq?#0y*Z?Z&VxZIq39Ert278iz2o9OhkJn2(_P=j7C9)LjKCggyIOyj$mn zSzGKLe7BJ$z}j2byNH_fA12=DV|H^m-R2a@bW6mhiVWW6|7xpPUxoRs%N?f2D3c7K zJU6e!78q2CEU7jh!JL1duiz|s#8RS}E43+2Sh_v1ll z_M9dFc2X1bvnLNCsy;{i>zo_>Hifu4&q?7qwf$Qt-EKXde%1u#=jZ7yp@i#${uVkq@)7hj#f#=HJhY4a7{Z7eTXW)7DC@#it5OV2Y7PigMGGTf6Aj(oEuJ3B*(D#2BS9Oe{-c-ie?Y-(=%Y_8? zgi;mFYSmwV*5z7dB)5QViB@Icm`tLZx@N~e{BgQh+~_Vfx(3VT_n?BXzl4ubmdMh? z1T)x8WO9-$uB%bGD0O9v-baNVArGoZwsR0%;aPMyzFEUq4#D8%i)h$7___G^v_Jv- z_S0pzD5YMdBEd!s;#C~x#P3{P|Mi*`F(~3>x~7O<=j2y@vF~}Wn&EHj%H1TpI<8d3 z^*{WS6S=+41%D9FXB;qIYCAkZ?$z|{EK0&)hc?5z7Y(MJtd~eBX zhLw&l=3zm+C8?q{q9nKG*E9Zdyh{-$w)EpSF&Ydv%!V9` zbEW_32Um~=iQD#m_OA4cpR>u81u&|*nyJ5@md~rgXl&cQ=n=ww)Jw#qg!^2~UW}^w zhp8y(LvnAa^;ep&L2y<@)AqulFy;@Kw#u(xlQjg08vocI__vpMJ^`!pKm0v6GFiTD z7aXGZA&Y?>inz{V0hlV~KfM8g+(w!m&F-yjGer?wQJD5W{e5nxWs%35qjOD37v~ma zskPDIRrl*HXqK5M5=Q5B1uJ_RlmeDj3D`5dxx~L-@rT%S%hrvX1x?cL)0lbq$on@t zg=|S-X9a#8@12B&F!E@T2^v_a?*k|+$Lc9brqTufLrJ0UtCZM8ivBTCr0pMTEekdq zUi`xbv5vFUT5k|K+8~oBiiEHmEbA1czYee!V*(gD6ko)+9#oHyeJI zhcqAnbrln#SWo?W#nY24hiW}9{Tw%6)Q;kCB3tW#7EQ@+*s;zB`1O!%r`Mw{3N$V?5};nL(@l&7@o2&Gu3Y>mEV*|{(Qyj>stFzI$f<=t#Jj61^R}dN1~O8uU@`f_QSD{W^D=y zqV_d2PpOo(#od+%v{$FSS1K%KMTTtz8@JkcZ-8&<-WJ5z!n98ll0n3pJdwlSQH=3; zWA=+#PPZwa3~nv8?zh_u=dJlv*qm_TAm3`Jc;Tk{P5bqxA1XyM$rpHJJfIM@Lp;p#6p8dtu9>z4g zJ7|da$h`wck4*-}{^I0Jc_!MH4)(i`I1;zczM@hVGwuLrO5&w;Ox6$f|~lL{6T7>-XzX5k_5(rp{lF7H>3k2i5S4vvy-)e|yQ@2=Hb7^o$5~ z2V1Kg%{)yH;ja3ZLQD*zcBr}%^@N-N-;rWVbTgQ*XRh*zSRvl_K)C49e9@1X4y}5; zk^Ar0#^W2Ns7snR>O6nIJEw1|@=PVA00>$*Mx1fS$`Uhe30ur&`=2D98X8kCzk8Om z(*T)VPr5lVt^fsz4@7~A3~i*`Q%cYCf=KE1Ap*EHiiM>Z5SRmoH9q1pTyFmj@e-4- zRREJwisSPKucT7BG3mb4hmp$XpM?3%#aqNWXyyyxJPg2!v^YkyswLSg4JXmf)z>19 z7$0)oxZpvm#ss4$qWqdQhXn7#u9W zi`T#NJ~8>eIBd>*M`Ek0xaCl>rC*|mtwY7@^w+OncO-~Av&+wNEt_t}Te0_Zvbu)g z{3plkgQk8C_*hqh8#Qn7Q&E0eS}yI0R6xP|6`6M&5RudG%HRgO4g@>J*v=n|q8I*B zI~%Ka0G55PmB~G+b^)14RAC2>0YSK5f4V@oBrKIjZ9wF|Kvxc?u`2!A6w#AZ!mkmC zf?0YhyKTT7ie0lXW=ZrvpyyG$y|@yE9Bm=Z`Ey2&J47@GqPowGHGPuWY!@W7FxW4H zx&vE(b|lqrKa@r7^L#3N#n59isJ^bueRYh0TdnP)3?&0B*MDNoSDL9%$pA>O&Ra_Q z>Cbvb;fj*r>;=L(j`q?C7ZGwQGHQWgSKD>=J9dZoogEgh@0Z}Cm9D7lJ8iMtoBWQS z7BW*ib65lahWr&!IHt(+Qb4OAupI8n*V>QQ`0cEW;yaTiiQy}Nq9%yXCr#IGeN!lu za(V{nyHNMk9Bxn{vop%i+~{eN3%ffiw64~lSvpD6J28ImXz%@DpCIytPPZ=cyf_2P zqRovE?!VV8O-18*+Jz0Z>n#j;W+|^nSUtY(X8qHTmM0xPba6LH_%@?@xRi1@OaiXl5R&UoHwN50%B>)&k@Y4zt z2x@>DX8sL3w7zrnXr9?1;lBo|7cbHX;i$`FP1&-lodfQDr4XAqRtp4zc;E9vNlsn^#vyy|W1g9{kH4}K3JPD0 zX?||zm$RB`3Wca)JYa=~3@cqY3-bF8_BQbfywyGSqm?CxlOZe{i+3*q=5?xfJ}d|j z-k_pO3P}L*AS;nlX*l^`lcc-bUYzV{9PL5H7NQ&wyNg@fHW-CXEzo7o-{$rcu2U$fUDv)!YPM=B)};m9*zQ!t8k%PgeF1h|2murG7C z*M-;2(>=Y!f3am^8qm};nPJqW5dw&~ZIHrnozN$GIOesdNJ;Jnuv0)q=K7*@^UZ(T z$}n>QBoXQ@(ShUw#Q63#^db#9NyD4K{z+;G!Boz?R0tTRoJ=SiwyWY6%l--|kNYPL z$-R;r&&pB6AR`#X1>kTK?R?{JRTbtB70ehC0>zuvG4BzI4rk-tccp!Qg5b`tj z#b57;pFH>D)hmFOr?iXSPCYyb(dzxpu-(Yy4Ua+Psj|+nlc1D)sX z^H6GcB9PEbXULdz?+Ne2DG^7STcCn$D(mV!4YD*i?M}>AQ>=37*cD;SLzwn4Lh?}# zvVJpCJc!($pplzUdd|phB@Q0r>3B@OA29nD$Q}svt6Oz1F-Bf>5|g@6_MEfj*XDAOftYwgJdAz2J9Udo$l&3HnqHM}W-TXG^I`B&cwPT0NMO_D$Xyo3`sC()- zfL;?^2p_6_IdZ^boU4`ABKx=Cf>|~inn!*3-OS9)I!x*W6gf%cg;HzPWy6C1HFX|JBleAPuc$T3eY@49*5_Jt*8sa zPTPq7cbm8KG;*|^l=Lge@t!=REJYH#$3_9D?A15r78bVkx5RkLF|C`ooQTAl40qp& zV(!Q}*$?y1GlapIZ`=ulWrELJ+wM2SCE8V5%GKU#Y|^B>v35+R2M%<0g!vt&{S2%mYHN2o zig(^nk#6#&696@i3GRg{e3(-(ZFy9DA-~^&$Ki9q&iB~ILm(b4u9oz}=(j3^*uqYa z#L)GJk2`ls5wr|_X_C~e{0!G67RG%xJH(@U)B5i*s;4{5QPw=XAnoJPETG>NP6#eC z7zj8`8lYD`>d;7zx<>mSfuV0gdYw|{;6tsCC*JQs4kWz0m-rUCg8=Oc<9pnlHVEPl zyie1e^!e2Z5hg>Q^&t3CURnOa*LSTi!4X86LSBRPyB$h;k8~Aas%h#wBhFnOr?uq8 zB5c7Q*2IwJo+R_&Un}t!RsU05iq$z5Has9So z;0l-skA40wQsT?F8N%RTwf3;aq25hY=?6BwryHY_Z?TZZQ<+`>#fj6WfcZ5O{`S! zz@U>wvA;yj;!{T%%JhQ$WN2L#^7j@ zV(HjFG?+1I8MwZ#ttVnQWx>SgG2u_(h3~aZ{Km`dJnGuNuHHmc8nqF79{X2HwB|#Q z+r4oIaQ#$2VcKGHg9s(vo+KW_Vn^;rLC2|<>_p}fbz|ex-ky1CMA3YTcc*=S{%Cf- zK^1nkVez{cnrAAgq*w*S1v;Otukxr0<+`)m0MPOX2aXL_d|-XPqZXq}6D}%B>ww?< z%#peb0Mh8VV=Gf2?x9ItcxcXtj`(2p<00e>Er(K?--fR(Io^(LR28|CU*~*$#Jer*eV)kAP+NIQ(z|Hdd+vZ`pK?X6>!0^SPV4H1$OE{FU@2DzQXB+N-duy`JE^jyZ(M*hd z#D3tz8)zFCIbA}1N(G0yK9$bECHfE`K^$+*uE|pl|uI{N7M2(Mo&L>Z-=8se#gJSEUv=+n9 z;kf``P5v&|)6{XK62oD;VAmG-gigvlsv8`1oG(>cfw+L5`NG-JTe0!wdcW)U?nxz{ z53wQwwke3pn!(__p)&hJ*)qG)*hCDevRo42@9n*2J}4E`5-JbjhdXd$Bfn zrto+Zf~eeaEF9dJlcy+Ks(T_T7*8s_1uO?wJ@{LU*ckfo%N8=EHOC{a+lWF+uqqb{ zytSUQUF@S9h=Ci6$6(HUYjWg|kA`%-3i02`(jjQQ%~3&= z^iK$qB_!-mNcq8dP?&=+4M$|Nd_Eww}W2jF<(`s@&f&cV0VvD#1hx<%2mx-9b(No4TVLP zsq0|2Mwu%lSIXJq(iRI_nWr^g8%_9Ao)p82=l`fZRhK6f5J1IhVG*`^1?&M{5McM% zmh>?WDAKhWb`ZJA2-ymjx5V`Yg7o?)_JS#x=o$ASPWVY5Ar@h%fP;VG%-jVymAxSQ zTe;)(0jO}}==$j)G?o2G`h9_;*|*S}6Vw*!Xsi69KjKg%G1~V$z9=Rd4{4&_(t4E1 zQ)FT$q+bt+9K^4>FN)UgDLGt^0!&1!*Tnz{;P04zW@7r~6=!|=#Smt%_i*3(PGKKvPTvnT#GohsB#Ex>pGD@wpxUQLF+KKyx5L97V{@q?u7p{Hl4c5A7x;87o$<*Dh(y{<%-ABsVX zcUr8en9lRf!<;A8v?jG(fIHr*3wyt zVOoQEYs&35hZ)}6nYTn{_u(9nN`&%GbMu~B-598QVp8|yc)axak%adUVq=gdj96wS zAN1wv5iju#NFA&-nu>=zd*RHaBCpcs*X%DE8Dc7z@(G(=GF>?*#mH%5^n|T?u9j28 z5Px#?mk@IawWz&L1DT7weeEzqB?NNOk>5uOk9B#20{wKEK(@+m#lJY1yV5^*BE5^K zZ7D)RSj$S}Q*pJ@5(a$r&FS3QRkNY{=!8eyZReLVQgTW?5UmtM9}$Lro_yVyv1)I= zi8?n^>|7wF^uQr*{E&I1Ks5hD-jUI%&|i=UB-zz*w_#h#dRmb$q4-A?4d z=U)ZyWtJ5gh(&rtt}Kj!!LAB_5&hm#r#iBuh~p@@i%YiLSp&r|58Y2|mTGRUZppRP zh4u4k6OZjjATQTc@2bPljXCDWL&aI}mJ1fUtJOQqGU?}%bolH>%8fn@gFrkX@ZyR> z>{=tMKcI~Y(enb%6cf_b0C~*yZW9gH{fj}GX~efe^-6BNDUy6LNbTJsQ8kmIcVn?5 zQaHo)0z*7D(30Fkj@$zg{!{$E>ePndotG;KMpN<|MgA*SUUdHTJw!zM z%_GtrpEt<8%J?t}=#?EO71#VPk}#`=oS_K=o}U8u+fP#a-`^1c>eHIHZbeDx7z}matub2O$0t)=;_e;Pm<5=c~qUSRGa2>d8jk;ceak zobtmo3Vwo{WV01KEHSu9%0@w^?5^z3pwl}rT1@HrhB`f4mX|$0!F0$$H>Il?iH9gL z_liG-ebzFk*)J21>7{Q^JR1U3ZuAcI{PQD92E?MXjIP#wx$$sJNq>vE$@QOXg+_OX z0|_1|v4O+iCho2s5_W1Q6a&N{qGDjdIUb$3?nQOQ<|LGQRg>|cSR|a4XFU7pxuEne zR$Ze+U0FOR75R8~4^(S^9t|sft07_30}{2~H1`0@7$wPQ-JE4&v%$_{OVkGhbl=u`2fyO)XFyP61@Toc-R#4v5lwxq6e@< z9~hcms?K{EZu$d{y6q_*`7rnNAW*P(Dp(ULz^>KPvl4^vj}#1@Ej^5dGU*#YTz`*KTIHm(TOs**?5F zHe0w33aVYei&h`@*Aj%wmE<*mjV5m*;lAQcYONpN@ox?j01eHEs!MFC*cB%-uifAG z1R?bY$?!P@7X>j#@vXKPE7mO~s{_>l+gW%%ocSj&d2IYqEhv8c8dG-s%Lf zrzn+$nb#*L@`SxX#Mr}G||$ZRPtXTn5L5t!vnh-ZD}`jf>*dg zTgd|%NyanED@U(^N1%*;YB(7=i;d zTE2(DutlnGKz|h(*)zvBu8~{xOMtx~X?@5+ztuwfldbSEEIzMt5eKwfX;DsP?4lFO61&32h8$Qv|=sLbzqF75KsrqI%Ll- zDsURItHRKt=6v^N5wGnMGh_?Y#gG#9h>Lg}P$B*v(SC4@FDZY3lb1pQ7!I_=21#fS zXhUfy&8Y)(4{8^a?$t6Cjd?#14tS|yzjis-b{=vOWOfM0X*)r-}Ykffe_%> zA-FCM*^vJW6#ooER)Zbk#1MylXBpvndeVTo!Y2^s!`HMyDZP8q!gIv<$BdX5uTM2Y zQBalt(;tm#r!r~H0R@7V+3LP^z0bOPi8_+gDV}%ZqlzArz@xh#a)I592A`{vDov1Q z@qM)|GtF@nM6#)TzWQ6&SPwfyIVS#{js0t;$V6>V@xIdb7%j#FK^%NedzyQf)J}T^ z{^q+o5dpJ+yV1zd6P&4vvS<9cS|-QK>KaNNhrw(GZu6qn0>%MXkmO3mp`30J8nT7G z2Qi937|QuB4+?j$=8a|b6i3chL&64PfO)hdcFY{ATtZjS40=Dg;lI8HWveR#yISZ_ zV_CLwvjHqxysW)#!U`IU_bM&GEiB79fQ8#d=sVqWV90HEodGgz$T(m~!wA8xP1{5F z@7ib1OvSMV36g$LdOR2y11W;q!Na9eKx)uAWE=Zda+fDEOL?v{nW5cPbvV{HHjMo5 z%;sM~C!-pXaOHge_Wc7J;~_=#7Y{kwvDs*JTGpS; zfe$89%2kJex-TNQAEcLQ0C_3;3-gwFD*svm9DiLq_)M<;%Y3>2RGt3HXk39x-obSD zbA3#P@`1+!!28LEGSa>kNF+KDgfuyd{za3jZlq$oS|KA9v03c&T|Ra?Ct0t=D|D^Y zSqVhdxRomVzIW5S2H{`|7CYX`g#%4zesk*W-=(I%;zKMv(TyFfe8soo>mJ5naDO_{ z!bSiCpw546?_jg*dhB$cwl=U)6(!X>jAU3x>jTR5BXMI}d{1r>7%Mmk9ciMT~Fgwdle#wd};-523|8?!W^4z-As z@mQM(+Xm;+uTPMg_o$Nkp&$MkkraoAiVHm7G*RTw<2#ExJml!X)M~i4z14zwUWtpF z1{m16kInb+Z8#4JGsC>>nbIf$6$zkx3MrpZ* zK_)F?&XO&7C-(M}8Ksvs+9eh6{E8-Le?oJkbkEH>0?ZpjbHLP>Z?FVKDL>#QJ^+?n zqOz?gEbT6KL)|pV3bmAp?~B&*;9oAH--^8f zCO&TV)vBY;-L@KnsPa+pU34GJ6tz%!i3QZ@DJmM{w3s|l^ws-8CtGuV z#{8B{{RU8ePwi}wGx*W=B3vw30N<=G&Y=ZZ!QbRPyXGLyLHcNa(AV-|xIwJJzPIF9 zzsVcys~I@<@@Lx#po*$|%D9F=krZfFHsYkv_YPz{YLM{^eYZ7UtU^}IBF3_v#tl9D zYGDgc?X{x!HR($Opg1|btJdK9{teKf!XecQL^d|4T>e)6rPvs(Dn<;QG8F_P!{riH zUx{LKie&%j1atsSaxW@>)9e^1V7V>h~O#7=haXeJvL9 zQrB}Aenc3vUg&v(v<4vQuVa;t1aSXjHs!9)!&DELCmN~L%Iv%KHQa!4*Ca87?83(e zR1NC6Zn;?Wq5~Z4(YN%Xe8Bxi|II117NIElDt4VGO5ePD7`TYS{C{I#tP^N|5U&#) zyLa(Dl(64^nypd+481|1*0hXd0RugY;TQ&H80TW<#qpz65GQND0 z3%!zV21bv#u+@hIuK_8;>F70o&2D>IS!oB>rgLHbb@ppfyOG_ljs#)78;?G{FcaIC zHf z;2KjiclyFz`^yrs2t+Cxh!^+rbW0LeGvKY$-##cMOStZ*0c11pl~8;?tf}BEsNo+@ zbD_Py322pwU_5y>Oy_fFIpRdR6v%1aL@{U3(gJz1eWv=`{+2Rb`=YB(z=>@!Yrw+8 z4~kjrrdnoEmk1_qs}hFf7RLDS_Ld!*44D-8!866*ezNS=D;88tv>d8OV(f>Cw*1l(yj(v<=zX-v@j1ns>K1#J@HMlamgC_R!zCB!Ln7TI?HP+aV!sSVJI8 zUqHCIxT^Z0Ohvnb@4aD>YUTnB_39pL`msg_8C4XVZqXeHT9Qxb5hkoS3HZ{ z?)1Dp`os5;)f8as547T;M2CSYG%rg~Ha!cdu}k>`Al zr#QZ`JXu6AAdCE*0E|F=aL^|l$W{q;6FB&q4*=+Qb$hA+b`59X8Fcs6u5g3rd(NDi zO~oout@1Q-DiV8SiQeytllmUCtp3C?jD|UojW)kAE7$N5J`sZOO7>tO@F1IYAK69R zC z*BxzQ`pIe%i&JZyofkYPTfI=hlf`C?G%K%QA?gc)MPH|ce=jqsPc47M>D`T!=XFh| zOFg+p@A1@P=P`Zj!(z~nyj!*WQ6a<6KUjSl%K8Le(7+JcBeP}eBd&fQL3{tqpKIyx z^eXN*HO@~E2UXU@>!mS1-KT-B?kQV@%7H;Do$cj8G>fPmqf8U$g6>;~3WUTJl9SJU z1O=xUW-cI0rf4orJ!3^keIEtc_gX%U{kQacA8dg8FH5_xz_2!~)v8b>gi8$60yV1%poK!!uc{}_MK&|$log1vPJ=-4_e9tXAfUU^Gpz0Fd z-X}Vsi$ko<>=}ao^2EMTOW@d&l6RxRwpP3I6T!hXlYcG+ z8K5@@s*eK&Z)(D2w$Q2g5YCYno@LTgIT9pOLvEzOUi2#K2^=zHT^YJt%3lzL=v;dVX{gx?ex^kS+v$gT#_{c#qx?!OM0E#ux)0+fjP>9Alt>u{|E+SBhRbx4DT#`!aOCrw{nD&iO z3GD>SdL7k+7#hqM!8qz_YB8!OPrSDU_4|R6=xC2&xx=M`&O)C(CwOME8_5{2R<3q^ zPB;+B{y0O^8C$P9ric~8)z2;Lu*yvy1t}NXey=PYV+AGPK{;S5x;-}cy5)HXS*Fe5 zL`Kbpc?0I_kTRj%+pwTN(C4GHvyk_M(r-1fPt^JXds?H2i$X!`jBOkrd-gDm!;i+- zTfy-zlwbBm*=ZX@CN$+7QV|liLSH=3iXrcs8KSE`vnQVFx2ohaP~a!>$m-9qiE~+h zy*181(HuPz-e1t^KO3)}!vA7cmVYhH{RLv5l^v%$sfrv;+FmsQ>$m|VXW~6tuPrQO zYht#?eY<#rqnBe_eo$d~&HCx)1NBOgq>as@TwMh@FeLrj@c3kv4K=}+=Jb)US0s!J zjhG97;Xd-WEg?SS?E#P^&R17=mXZ-O@U6JNy5|DvlO;~AjKlVo;cd^Y2)3{hQ1~RX zxIBWodp|jRZhC|+70e5Ft2TWbaT)*zh+zo3~}bY&xLE4LoU6&yo20tmW{dB@r z?@%Vc2nS}X4K?{wj*s|o!`*8B)~>DIOB@EW5pm@tZRLZN?uI>lmS?5YO+HcrdaclF z+v*T9RCaQ9a_bhqk9%;nDj81LI~X@*tHx}fDS9>bJwv+vjj^GH^4Hc7$(8=c<)W^> zlOT?XR}aq0%8T?gya^%8Y@aUf?yBz55pa*|1hD!dK?P&gQfVcU~SOF<@o*J*sJCiQlfC0SycKM3iQ8N0h z;F}mGdfJgi`i7C42IJ>QOq%<_?s`3j?t^c9@E|9@cb4_HVP43I(N=@(@0FD=b>Rlp zXBc@>$427#0sFiFg`&30w|g8KR${%vk>7^7E5Iw`g)G%xtODm%drtNixH^C+ibc|m ztKb?*O3Y%+{=1{MzwMO9Z=ojwwOt)2^^-?$v@b2!3e7!QedhP?Oge|h701ziTAs=Soy*wM>Tukd>Fyk$3EI8|m1!DX@ zfS%;}vqm0Yk8E!zsIfMsyBA=K&n~jpM}PBQiq-O_#pQCx8d9ZaHS>9N9=8rN!+@N6`_7lLb8VDTu#K8Q=Hj%{P;;knLsOfVo{0 z9kwY7bKMsDp8V1vU5wMY!-*&#m$aa>TvQ6WB6~IUXj~-Yz_Yt#Ke8IOSo7hb%w_uOP>$Z0D}P3bnx(BtiK=>;bQR4pFN%z-&^z)<7y=P^M9G zvnDR|rWfud$xca=l)vX%8!+I4!h=uy$tQ~ z7vli461g=kjqv1z- zRP9uk9Bh%fjxk0UFb5lkUJF;?pfj=lsfO5tbEPh}nO^5kKjJ-i{eWIoh|zYyD3II< zrp=#Y>f2$Gh4Rghf%F5f`2=y-Xxs{XngNAcu)Ucz(N z)aj*b*3Jf=Ne`pp=Y~}lWNxuM>5((<4kuuH)K%6O?{^d1S1zz00wd;}M&ScF!uj)l z21<=}PCmlqC(%_omS6yU7o`gmf{(i%TG12DjOJLL@3z>i?xFMcNUmzrgU23kohf!n zUQNV4EhEG}Qj>X6eK&W_`gSt6_J=f+o2iP!zzuet5c$raoLKLCzwIN1!yAq)kzVas zwXzh6MuqAu(RD7YPGYuXcKA~KnnhC7in)Tl`?)t=#^+G2)p0xGWPj{dez{q2J?fnc z`Mscbs9huJ5z@VfXcI1j${rbD_{W3Ri;ZkXkXJOYdAh}x5;yzsy7B#uRYVg&hdnyj+nS*G+WF z2Fj3@&v$w634h|yeL*d?BxOO3V$<*eX$p|m>uelzeZ-Z+C)h%f4KFbCdJ%7_FFRq z+AYLfFhjy(vqIj--pUqiLOd8zb4h9bTLPc54tvS* zh7qISQl(i)MyekNTotW6wY6AwxXu=Ed}w6J053OC4AkO$DCK9fC9;Rh?8hfaV}Tp* z^kK`>SVzQ|8$`*6bE+dx;To}sD;~-`dVnE;IoA3kVn9Fr6*T}N z{=6;@+_(b2?VK=5_#lvp?CQT(B(MjB>K^GxSKS2UUEK%G5cl!#4;4itDQF3`zrXD7ZYCl z(MTmhTX$WK<}6O{Xs_14f6UXRp@N!yE9lyTPkU+4g4wR@emJiM!kD4FCh^xhHkD5|C8JVFaGbN!Rs=_T7sW{{a`-BEuXt0I42$(}WvZ~}jryo(V z@*=W(S#FX1sGj<<@U3HDg$)mZRNW=c?Ev*Qgf!prVu1W0PH|U}+3zZChlVr8q$(!ubjk%nwX9Uz>XsJ7$)%ICmGRB~8P%(9jZ z$gLxDN%XX={d{LKUWTw9Rlm@gCTkCBVH09J`3{>sa4IXqZ#Oa$#Z6EOMzpGWNkZ`B zT9VWnFpm*sicMRnfaWk3HEQ4#)lN%R!i^M5Dp|`erSrLVz%C0NRd`Ku_wP*_th@^6 zsl59Aoy4~ziVp})ZIY(Dpi^<$5L{$MbJ&;GufwQrGf8%GB=Un{t>5eY>F;0P?M;Gw z23h8UP8beNR{w6;H)-*9(zOlC3FyH5>tt^H-j6zWNXKQr6jroV3YmM)#C7bc!1rUuGZYX;wMS>|a{}Ng_f1=#pUEF@ ze!j7*15OB5MG_+f2dy^;4%gQN%j+cSEIY+UFJwwhZ&`3Yk64z=oq`HH&<}KhN~*OXIk#Qzk5{ZbQw7y_Stt+fvs z{$GfjTa8)eG~*^ns0@r7u4l#PffpWCl>h!hY<2=aBd~A4 zrbAi)YPn3;I`ay6if{lKP@12MVuQS<)zYHCv=3jKsHYM1ddCZ{32O&;ws|=)2y>C* zNY5USWfz<;e|^@@@~IxfB&~eL+dr=f^w3$Q<9}=o?rN*ygG(C?@!p7LU59EwK$Tw! za<5Pa=l`7i%=6_7jjAC>=GLTuVT(6J$z#jZAcZ*C@}!XVFB7n3wcCJ+?@ii{r0^1S z6SYmSWK*)fv!t(PHxvZ!;*!}~>R)XHka%(Uf}pv>)941WHQ?nxy+TZA1j4Qmbe&p3 zg6&w`;_sa2cliHf&OhCYo>_VDWWFJHOrFX06&!S{p5CGD za`5RU&8zPD+WHyvw7c@uT{h_2S{~dChr$u(Jgt1W{uJm{)Ha1_(TZC4*@*JoP5*tQ z;IDJUwgY-+h%;?zz5!Z-m)vW#@vOKRz=rX@*=*HzKpp}~4*2OM8hzb?(Ap4orXxYb zmOg3a0CXMffxPAF+nwl$LL|&Aa>34;iZ$Tcfq@Tqf#_wv>>+;v_jTPey9l-w){+MN zkyZdjiyKaKhCYtXX>Yqhz)=@th4vX&6!=c0eC(F-5K%1+dTg`7bTS+ zQ7>I^3P_8#&n=T58!#F?VMFnNCf9E#$FHO)yT1J_q)4`&mud7Y-M!mIG7yC3$AAh zY0ZNR-}L)IyNhV~A3%1HIg-ZymGk1SS)--*zq1_?>qoIi8H7G?>}Nm+QsRVH$4y<( zF$*>mWh-?;*|?u%+|0Gj+28EUwg4Hi*$C?I*%P<=x)eH|_#|6KSQ;=U0dmc|b*E9D zd*bdkd!o(9I&^NQ8tF*XUrS|5z9ZK`=7QjHoo>_k(F5^wlyVeQRK`_S=%W&fx)Qqi z1)zk~!*IichEzV|69qgZpc89JRuT=GUVPD|Z(UWr_dtD92EQxC$|fJF-Pm?Sf*>uB5zRXQ z(aJqPlg(RuaBjyxrPDQRrtyc~cC_++K*l=*Dw8$N%{_W^I{BZ@_pp&(Ekgs#JNpUr z=Iaqh2OOBmt=&~57SeS^N5=cvq24(`#)amyhKzg7XD8n0wII?mPGpLK?o=xtH6SV9 zI_e!g0tQGZ>OW&GbHfaU`Dr8`Z8G-4-+s8jjn~5Fvu&?OqZ2RWW159)%KOS#@^b9| z!v+AwzYT4mwO@9CG!aoiL}^Q|)t$rxNQrA@bS5hZyYj>G4$c%8bStB5i3VSkt0?<+)A@|FARlf0$%`Kp7G9_VcyyLxOCgw68=# z6x^Ybgy;kdo2nws)jd*7d(lwi4kczvPe{?mZ?!+%rW zyLz-#F*M?{Og>oFswjnkf^PsyYq^=2KbkLErG%Y&F z4q=Q3xVhp#ly@k$dUAEd@i!g77^*5Ghgu z5(uEw1W2d>l91eeK425MfMw+2zjKtoM~ViRO=Y-^UniUF3IUyi**8zR&V`1o8_&EsEMG8kYmG7 zWzS!mGih%{0|1)XZUNr=W z6_fB#N>F*_%!%A$_=cT(y{j6Y;k;;1p5;Fcc-y-qP5#G*GG#%#Pl`(inQ%k8%DYwf zH0D4_v-B~3yF%xn{8w}cRWwETW-#p^-OC17-J?D@Z*#;Pp)cjm^~L^T+8=O|rzMf6 z5vDz;lUJUd!|RX=e>xPPF#Vl)>4xc3to~N0*L(_;{Fv1jX%LCA@oh4ZT~46G zWbT5^xf8r?2V-w^}I^01Jac|YV!p%*cn$BxHM1l1oQaI0-xdkki%dE zm1!<#6rzQ)0r-dL)&m|OzuIxXBR+SXCXBcK0+K_g&M)csztW0+L*P0x6JPIJn*)gI z^Q}{&vzNTU)RQC~3BE`!FT#*s6k>b^(t9eDC&TG|3=9O=4I3TkX>XLNcob3*3eC?N@;0CN5+D ziCvVk0G=5Gi0uMWJNI|J^}+Qc?+iw=2{k@A?d*ZXG}pyU846b~M>lZ*4FVKqMF za7ppc>)r@~eFK)W@X{eCBMCfs(%(!`#b>tyO?rb~U}0Xh67PL0=a zIrvs&b7)`}G^}$@={4**UU4zFO?Zbqt+S{N{zBD&QF2}nFnS)l0y9|h*P$QdfST__ z2^eV;fNj9T+%9pxq1uZ|`Naefj_H5(jRf!)@qZDf-4U$;ZIDwo-y6@fe}PEl$P>gS zpCyjm{nuFXukEfh;`wbWmw4DxZZRjkE<>+tU}triEFdiBhF^<7&$vJ|3bmsw6N934 z%kvZu8FM)oyRCNB-#Y5=^T3mFVWO|PJq-vhra;#GDmRJo{t$|o2)r6qbOBYcOjJT7;F8rSDGcM!D5zYZc>2jNUqPvp0vd>WR~4FRl&Ki|4^ z$-WHz zeux7$u@`<6Hf(KNeEihx&iZ5>?#3#}-3h=f$zRC+K}%8T#8n=-w%}=wqjN`zjglvw z(|4Ziy;JL%RG(O2?GT#bVP^cB)>{0#k;tpvH->IAv-vJOhM?5 zPJS&Xv9_QrXLY8aPG-3kncU)TM$Hy2?Vn1S*7`+h^Ts=r{(!>tmiQT^8K95lsf*9V zv%D|%$qCvIB$p(7tdgNBNR!jKBA`nUDfNy;Tb3*^!W!AU3lIn~Q$ z9qu{b8%52}h)1O2DqpJ2@wXdAypy8E|XMhlTo`N{5cRbu~H5pnho2hSn zqVVsx#^%78|6pi^!O-J}!2(|F9rqZp>qB;xw z8uYeO$Y*V>XXQFCBn=PexjOC|gm!fe`A;6G15muzvK99hm>5c0XHX{R+Qv}-N^Q1Q zbsm})=qB13XqgXUJsu(Hh=SzV;Acl$E?m6yy+`UfcKW%VjB{w+@)-~ER+YP67?M?6 z&jKrGh`j&s;lnyUpDRZJV@QQ?a|J9Z7x8~YbMgz2%8ceFESwYI9LJIi)+ir54LT)G z%0Y685W>o2zhpRwTS&NuF?R!)6i;=&ugoYRKOcC+JT&V>HTG!Po?7~=Z+{KHxCfdZ z3#OLOBbP(qr+OF~zr4oS^igJ=mw-RtVIu3;DtJfMq5lyK5)wgc`OyV~%kY6}FG#)6T~!CvhA-vXWP^F9f7ebQ4+$vkhGzy1_L zu*|g0{YBV8%lDiTBS6Y7M42Y6s7@;(Agg1M(%?xc@n<}Mk_&q?rD24biKQ%SoejZc z+6|y@U*R-{D8JS#R7Wz;XG6dT*~E)?pTVlK3o$Hb^RJ54z}>COlZRto%h zQk%ezU{WMMsv6@Dp;PBsH@p~muHQ-Sah3zV8!sqQz^s*ws?z*hNY$m;b0LAsZ zyozcBskk^en;^6LtuyE7otcLyOBVuhH!KZu4h!@dR)zE?4m}N#FAI{lx%Xt~{rorx z>(Bccm(vLr0C8fDxFGMYBAC3mvxzwonW5W@tNoopYq8%DiqCDQL<*}C zOH(J6Xn4$x83U!Qkeo+Ji9MIPA#CSU>q`iZ8Lc0aw>HR7>Bkgzgn9GqkGN}^q`UjecP;O zrSlDCzB>w^QWfWiq&6So^TnfOJWxD<-Hpp%Kj508;Xl%bjjHOudSL%VjPW4_6m_gM z)rz;*w3CyH#?=ac(@Nvr!Wvqx1y`LvD95-JENJS-;gdS=SD;hHy5Wrx1C8LO`q2yD z!$g_$-0IhKly$y1xj#(qff3zb#s6+=`&H#Ey+ZPrs9!u(d$HQOy7*v_CZ_9PRoJ!- zv{@H|QJ{(IZp_@=hx7aaLM_s0;#<*y73vlAG@VTWJn33mmUgn-W>yvw>9*nM1K3$} z>a+ASM3@uKNBKAEk7V#S6^^;lPL*+XZv|%Np>lF%nz!H#DJOD)36^ z{xFRf2`i%&Hu*~=SILD;j(?|PTmCIWBe>%G(eE8sFmr%QS2sd0ot=Ef#8;l` z$U}n!I5dZmnXcv6lr}vV>O>DP9Hu@CO$qB2Q>sB!;r#WAOE++%Vt*LqwEmtx96Pip z9>?!fYE*+4*YMj8aF-SBguSWU9o&8fVz@(8LjK59cM#PE;|hoW4V1P%6?gEzS4Ko@ zCB8Ae6kNAYBTRc8=qtrtb;g!lpeEi_j1y`~l#>Q-C+!Mgw(>V6lSo^@{?H-pLpsg~ zwB$7M$1WNz4sijPj|y^mhRYwk<==ffEOD}8wwydz&H{JrS|XyGJ)4)ti?Ac6w*Gx@ zh`6s65M`r)wxffhHd35ZvGCd(1o|Wimt~bu5Zw2~_!HHnd0L?s4#<82C_8ZTp0jYE z@1)?GfQD5)nyj?o9_Et|Wxkqy#l_+U)rk*b04#Lb)8DiD-~BPwdD=sm$0%okm~eLS z*oWimka^#P=r0X2QA9`v%Pt-K#16I$f%0dnB_0hzrLnBx40Bn^9h(3p1ne0&uEFrA z6FLW=k5#YKqJB)jIcUd>$2bt@ou)3B<@L15->)|)Phpgn(8vYm7%7C4LZO!j7o#D5 zmw*i9`9;Vi`qUC0?z9uU24>XLnP;bSac-RRHp$C-Z93EVlpN%9_)e(FcE*FlY94sA zlwBivgOIOQV=V3L%WAo7pJ`g&xbMiIsDFFXoa+X_dDmheLlo5`+^a_ zZlJ|53BOU{mdY;3f6@lTs=Uz{3V%R~ayZp$xeKXE(a49mZ6#8aNMD%Q?iCN}9?}A@ zA4YKRqP_YLRqARmX8WHejp0Z2H|HEGGDRd{C6O+8Ts^^R7Bq>pn1P=po zf6t)^7uX%|)hVOs+eG-hN`oQJjW2*{aXX4cyzZG|vS3D3({mvJ)eVEG0fIts|NZ%A z=wP=-;uGlkX`p^EhVFMRlBYSkl_o9|$g$tlqJGMs+zpNcC`#1*tZf2B2i}sD2-Uzu zJ>r3J2AT7;0o;spe(nx%-8ry9Z>ZmGJ*Y`&LU;fF+kU_Vao5fQhbk-BOkyLrX4a$D zcqE4&k5n|$$2+9#t3DKA6!O_{&39HVgvg@7Cl$(Bq4!6Q*>acnz_}6)J!WP6nE!IO zCx;OE{%OY&|99f6Hr%6wltzF#V8R=FwWj@XC+6>GI>OU; zYj`ZxST~98^e4PWL*~~eR3G4tH34S$A$AG84>l$wP%QL4pVor|{$zEe*}& zz{Md#b;u{JCINNupw($VFJ}ZXe?1jMK5XL~ky*e(d_L~H1{2PHF@`PX-K>=b3eT(nd05!^W^(SZSH4x4hVFTB3?{XFiXtg4;$ zRPJ&2or>~4^~Jb<0F6D#smfdDhCd{BKxsr5%z@HqGJI|U2BBl)qdR#EYy3XyvTTKHKG0~+z$+Cz1A(LI3X_Cd)J!?_^*t+u za&k*RcIh4-2f<62>eXx8Ej!nZ=7Xem2VkD#JRvzWs`_~ee)uVj^yQ*e?FUm2d3<_( zJuZC5#k;rDPutG5d6PC?a_R$)raEWucgUI>Eqk_@7M7~g;z2readY2D8DuP+z$9!$ zl3)jnGZs=UpR=~=Z_xAY|BPB-powV@0S%LKr3If|%(~uy!n9hlJ1qmEWj-Xu;)&wK zw=S+XL5plVej~3vx#w4rQ>u%P{ouIT(Bxq zfv1if$w&^EMM8SIGWciYmKExt`XWo1wrqRyxeVS})@Y-`B?hy*%VUmJwX{gY77^>~ z>(v(qbt$%t`r1J_CutvmZV;mly$obCvG<=iJNnl?*~Px|XN97?xjFdX6yqRT zWY+xeqE-hUL>M+f@*%^ChrydLFPo8hrs*7*(g+73G|tU{&kJW5npq)dWH=u$iHcbm ze!36YdB!A!LIe* z*LP_R=?AgOsL3f=&6_)O;C(pD2IWOWZqbwOL{!|`yMbIbd8iGVu2d+A!`G`h%*7S% z+YsjmEgt)kCM(_Zy)VrXy^X_)J$_yQrbf#3L`3%N929`_vD0YyhHDx@tS+R~P!E}| ztViag&f~{c?Du0my((ol++@{Gqm_WVIALb-0`P9A@TCi|ih+8UFl(~vbNR!oA z(Wk65UsDCGGABT>vkY)XW_}M}8z!t}ssLi=%S_R9Kxo_+D6G5ue!7Izzy{#SM;;%9 zS8Zo+fRWG;6{?2ufK{CPaU3Sq^C|+aS9^JRIoUAY*j)dva1GHyqp8M>9^2P~Xv|Sb6{X^(MzbvQ@ zN|dzxykudhq&WdSfiM^FE+noAg}{M+DDpQc5s`@Tg*aG0?s$I`Ta+7Nj2YC}D(!5QYy$VI#+~Jo9z6hM@K@ zOl-by#Sj(Qv)%l|Wp>>o%^2=J34;{0amXyIyaF1eLl>+^TbC)!A(qqOW!nQS{46M^ zQ|n5lgRMuc3DMEf6kD@ z`Me2JF&VWwN{q1X?2tybeHE0j>Ty~g&60J+j#kMq5cE!yA7^TX40d%hx`D%O3-(IW z>5}Vrj#uuA^Mg0)bR5;|b$n~PTtwul<#4E75X80LJhb&?{gisfQr{tj*I;CmsYsN~ z9*aN89`MT|kp}V+j<%?uS147l(8MpxcU&W#wknidoMWCPUzy4MEK8aDwP%V>9PEPG zX%?HEMLw4s9}BzWsi;CHl+`z3_LYNlH$y%}8n7;4SzW~)udhquu&v`-XCf9rK0&(( z?Uynd+_EkRLuO31C*418W$Kywu_|TI7sKF*9)9E(gw+EvQA{Aa+cD)=lpXfk`5Tx5 zgB^ZeW8mfL6bpuepMmT5GeZv<^LQ(u!uY?|7lWXMjb7X#_b$DP8l&v!EQi8qt4jEr zw^8_pqcjzXV*L-ew8=)UHAb~{+1ry18bg8>u5|$cQ}8HiY@+sYD9J;Dd|25#>T1`P lC~TMv5=H-Ce>SNJr6a8zUTL=DGm#Ja-NfQR*1i*0{tw827YP6W literal 32684 zcmeFZXH-<#)&<%IpalUH1SPhpAQ?m`a&?;!NexAmBp@I;OQuu=B&&#IP$XF7Ai1E( zs3e6VLqQRxh(%6Cy?wyGx9@ka_j}`w@&0}Nr^j#%>g==k+H1`<=UgZFPgMn4Y8L8W ze))w~@y<<+Uw%1O{mU;$LVl$L|57W*{oZh|IqX>njfJ`WSk;VE?2zY%zMmr zs|oj~*#+uv_iu!!)&*WpZ9W&?yrG7@a$4OCtNZ8s;E-x&Mq1Ol{@SPE&(GdG&KuGt z(?<5SaE~0Bv0vJ-AFYUUpV{`4$3$Lr8E#)1h#B&Ax5N=;Pyhe@A1XQ`qeEgn1m&Q- zEt*x5ArD)Bj578}e;noiJfk$M61H0tkB=OaXP5I@n?EmRvE@``KO#+D z?SvbPn>IcdmUbgt8)BQInT~}`-)1WcMHNm>O@%({HwkjT9l^F;$LfG4j+Bl1RmFP? zyCE`F*IOdktH$z?q`7&cYOi*y!H=_>)5Pk*$?k|7QK`qxI?!82nOF);1Dsh|6>VPJzBLfXfx_Z zTJN)r7cC3pjM4}a-K?h(7LYKrU$jWDlb|=tQ;g#7^Ei0H_0)j4`?8is$2+g8eX-dN zmX6TQH(D_EnoXx^4-MR&-g2J`G|dY|QL%_yUz^Fw&htV}eTg168u#58u-xa(Of33% zE0ig;Ewo-t*@#y1CMx=VTO4wxIEbE8{##guTcT%|Nn6sRK`Z`yrM4CQ*tq0ogTm$8 zgeI^IkAu25~&oQN|)9cdmm@?I!Oy%9u*kPWY>v^FIa;;OyXlH`58#yhw^tf zLM4-ApA|(6*mEW2H!_ap8kZBbM3!>PaL!~-kDDUX&@N-UWBFq}Rk!I-jPo4$GTW{%YEr;Cw$$tkXeuA{!2+tuEi&3qr7uuaPH7T+0g<8u336LW2i z?s=bGkJ0HlkFnq!7AxoSHl=Q$*u|#zz?=FmS+(_i_`{!4!EIsC?Hf2isoN-uunGyg z!Lc@`gS|5qcfjqn&m?>2UBX3>_f|VeLWY$B(;Q~we;72hwg|Yn%%;bf;$vV^4?Yve zUMg^Gvsm)DxeS=cv?Dd?|rQG^_j3>&gnwC&T6;|$4A7K*!1m;RJj}9FOqxQ@TOLXmgU-3 zM_9#FViK0N*&yGjdO0J$*?=QS#=T~2%%8sZ7W&QoHoMXRi`F*G)G;X=kgiYxD=RA{ zHodQ#4KF#8VrN@sILz+PN9!1EAK}brocYX?V$heR#h;VMA05svVcVaO7{^G}cdyiL zh$(ySuDSWbP?_-uHP40m*t!0~2_3f5=g*&G>EJEWv?NFW({m5F$7x*Eu#UFn_`q_l zo>DfidN)3P{#~nd`+c?$uwC~rh=)scRk+L;mi3#`@GKG+h@^Eo!F#7qq zvFzX}FG{%XE|m3^pf5-*eC&P`9TQ_*`;KS$t6KjQZNtI2wz6w4!%+E|;B z%5~@e@e|rHUkLq9&-A@s$He4Md}W|BQ!Q(u4sJH+VY&A3)Psu~R&Bx0pEE|L7$*h# zmDfEdUI;P&6njHWGUATFjb^sWhr4|KEcCZ-@RbhW_uC{eR6v z@tG-p@vy1btL7m{P+^JFsc--Hq?2nkTwVxw{r)HN^Q+6~Rt!L*dlv2S+d&*&SC;sw zp~~~Wq(2sAFCqyx>f=HlaUZ2EZI2gk1vrW%rZyJ8cJ~`dbIFcuFQK@0{Z>xHurgJ9 zScrzL+eKU05TX@!*bgs}({YwN?9#3u`b&w;th>VK<)h@1)HIBH;_`pZ&n1L!3Y_aQ zkLGnnzuk(Cj^55pdK8aw#9!ZENli!I{$KyPRT#6j*>4t^sOXR&VYjEi;rR@M4O#1a z&LDsDAl08}IUNku2j=i9kqgFjKgv~ZuYpUuc%7-%*7*+$Wux+v?NX~V04Qy{Ot;}N z+OO9(BmTD^c)(O--Cyty?z82H1Y5SBrWm!CTRNC!I_?en38FFo-JRX$6aT%a*oe%I zxOS_MK+7RxxeE&99()f^UsqCnuUao8;OE82ra-p`pgB*M0H=xOZ4fom4nqGgPFkE% zxMnLA*`>%s0bn0GWWlB{uYD(L{QpI1yWs>{8S~_iBmf0g>}|T>7ge`TH9>WfhfU!U zR9p?OE!IEtk#YopjF$~w7I;0%=mgErYvm2~&M2IAh2ZTFdUfc&c-1@IJgBX=CWMqf z#T;V>=&{~*p{JWB+ADc&Uplk(;eV<0#nTxz>x9{WFRytKd+P6RQ)rEZbTnOuXDoKw ziEI44YGdcs5&YF>yx%?bQzqTdQdceehQGlGmG=J>^Ikl0_r}wcZ*Bv~Fq_OBKgg3k zdgbSH884-{b}5!*vD%kE z!KkQzjf}bX*2YU4qdxxg)mc!*c{LSpU7vdEPxnPul-U5v0LTPz359)3tTWfh3c)|$ z>iCiS1hQsH0=zMnn8U%B}7e_6KIh;qBQ)^xz~b@R3F-|84#8v`E!tOFA~}~ZAcvv(HNW#@civE`e!V_(<>y)K6{qShsZKLyEd>gT@0PyV zMq&sW<&xGx?a`lKkE1Wjt7?REv|2DDC0-d3>x?HDXKjkkb$nP07KH zT|z{5mF_hD9N7Bh#|;Y4b?yy=ej%!d)%DtX6pH&}bijiFvZi z!pQN`FJQg@B^73E@FRr3N*n;~cl%=o2=Zk3`m>*JcGid~L3XgYGZ*v=SWa7Of(*hO z{hs5$ElOC$PGRT}rSG)H+FHYKy7WKaSX537N)P>wzmS;^pnB!1dTcbh@W1{3z--2C z;_duKqYqHAwbMbQEH``A{(N7})#9b!z`QPRT&Do-p;dXZdj_iAQ{mIkm-M;kD>gDi zVvOA=xcbjOK%4YNUnQxN^~QfG%Xu{!+{ETt+(_m!py^r>Bl=LvVuz?KErbODRB`g|VNe;Y(BJ5&oVRf4qZ8Bqp{p0v7oAKksbJ-Gbkzcme;A(qHK|$62ju zQHTnpWzDk&)Jo2Dd%{G?K)#CjT3RW@HBAoFO7xF40P<#UQtPG5>wuPWt!(Ylc(VNL ztSA!-7LLa9H7$5j{o~OKD!xsuH+~YztzH(d3iIP^+hmq&kHyH6*1Gq@&WlObf66te z=t_YQDBzrOhpaM_rsF;jX}WwLaun7`UjgKrQ5V{C^)gSQWBr#xvzF!^(HcM>Y1>z? z_lmWZ@6~sk37o0)%fL;CYmFg`4`>1LjJUx!uzNp=ccm|Zto9zZRgV_lV7A6X+4OVb zJ}+fus3Zto6SQrSQ;cA;8~o_$87a4+d)1Ag86nyW(OlaW<1(Yrv$9TS1g1gs9deG6cU>V)C;QtdRtEj;XBSh}0e~jb zPK3tBGRclLxtJfE9_Q|%pkTKElR&%HVg4cy<;2*%tScTPf(0vS*QFiTGq7j*N88Q z3hZv!LBKR6HOX-g4^XkYe(g()&ZeYedv4>chUdPOCg~n0?GKx-BMTicAuK1aii2Zs z3_7Pz!z{GMqn11$$qASL5DDM!H?HxKLh8-`_V1(&k0Id3k?|rXM-`^hc#=KpmwI!D zyob%|tM>qlC4kQ{Fz1+XQ;ENJzC|VEj#G_z$$5u1f3o2LTPOa|ggToiu%z}EPSYG8 zGHG-Ftd0SG32e5Xr>7@3CgdvSEoq;$y9*Gvw=GZYtXcH>zj8u6hJc*b=}dq{zIX2W zXw|(3k)_W3iv0Zi3F0o($`N1mJi^*-vf_p_pJUk z=hzWWm62xF?7t4-=om{VmFN4*KF?ozgC1=!9ER&3_1j(WS93(}%<}BNx+_oKb0GuW z;Uss>kX>04d4G3lHRdKIpvnGc?{wFu4Qdqti#GF)$6n(mVG*7|Hxu47hKxG6=SQRy z>W>}^$a!R_4<0uJdPow$pr4G(?Ae#HzJd0}M}W+k7kXl$Wa^I62 ziQIcXTIOJkQHbR5o9RgMCofjaB=1YjBu-$~x|9k@lcxZ;cV-EY^iXw|jQHgFJvf2! zWu?`4dY+nHgG^Q(nfoC4j#gV)|KjlRF}gb{XNi=*^k9@*(sX4*teZf12@^WK<` z^BjH}EY!>QyNTSf#O+rDWuS@PDPNlV63xG@e~Zu8=T)egGj!nr@#oCpH4b9k-p`6a zi_<-}4?DO=Oy92~OorK#|Cx4Fw>E|xJQ21~Ycvj9G(wWxkfDO5%R{AhbL2&L%&M^m zo&rf6Z`w0IBJlj#S=UJUo$vRLVA^4$!^nwn*j6i-KWL|dM`QUZ|MkgvqHeqnIY-C| z2RVr5V>;@5#upETms_XIj?nOpb<-yjWbfDhLUusz>f@OGZv>tscEZU%I5yTpp7hG2 z>9#lqfsjYFN2sE@ zKnL%4r7L;5mrQr2EJ4bX-&}9*Ayij53LQ(nsEz>0Dco!dld@}#;C7DqJhXQI=O*>m zTV_0(4!<>iBaBT|MSk+dji)*HK0d_5z=haCChiA$uNDEJXBY6~oDLDRY%=D_u59YI zKCA7peN<*L0cJON&12Z{-Yn2dNKvZNydTUW<$B56oyf&9>mI)T$P=R6oPeLch|Io& z@4w;_JW#&7Shcjr>9_R+*7s$8px7VwaQv75xYPx6CNt|=8SB~~@pG?y5Icn~yaNKc zf!9YePf4iaQaR~Vo@doU>CjU(acRJ~SdC{Z=DSFyelq#?@#RGY%BTT(-<{)SjX(pV zMCwtXMOSg&OIkVSBD_{U^K66j1Qbf}XgU97(BH;%vAFz82oJKF5=3#jzx)WO-umPW z`SHWO(l)|5w+ec?IIhLn=_6VA1|+3VAt?1s{H1KmePr6f@SV z=k)mSajjdEQEJZe>rGr*^zvJ8k;EouD$6rtw9(~)22BvdO=Nd*djhC*z9dH2SjUOpB^wLE*T^^KtaiM!KYcU8QS8cyG$ z%jB7OBif`}^guB;zx^cC{a^N*pqpbHTk~WaiWN0`YG>@XZC-HaY^ix4P&kD5|x6q7LaeG=;fTExHM#ReNIG`aD1#jwdc@vPzckJaneCBrYGP&m#a;2C)l15 zu+WOOO!jPc0Lr7tx28lKu2y*&EVPyGfU^BW!7&K~>M)yTx|B*K_db8>7|3R7wu zDe{gr(y%QSzM+g~>0}M94LV;z-rvO33F8=4B`@gCr}M!^ToKFSq@DFu0Bf=o^YtZD z`)db|mHX|fA$JfW&5jANS!mM6P+h&YlT=dNL5>h#biC&SI?$(uZ-~Iy!wg^$&|ooqjRd#|v%SXd_jc|}Dd-LIETpB{Yz|A)pT^Pw{fKy#{*tys)tmMi}{x z0miHGtAMnt$wYHF^GUGQ4J5dAB|RfYFH)DQv@jd{;77gYa&5de<}1>aVuY4r&2X`- zyc#Zm1S*+ir;v8*l-mr`addmu-CsIroh?&QCtdrDnZcNKOXM#mjjFdPAZ9#FWo8luPy<}y>9Z7 z*yo=>pB4@%|b++SOT)O6nvCW z?6fiL(zy*Po_-IIooj}5*$o{CTsU2&-D?gwpE?Cj-^QT1<36eKj$^gy7G2&lFzshV zBWv|+QzE|kXdY62doqf|A?LLvvsiBCm~vOyqtNkegcL&ZtYd$H$zGq?W#6144h2Rj zpRB-%`Ujwx9D&^2o zf^m8+Z}hiZ7;uzE0OvWAbT%L9IQxcbtSKNr z`AJZ}^kn9fU0PO&wcWK@1_7aG#w(f0Ue?Q_p+c3P0D#*hfw&gkYKr7Y_8330FH!hp z0%)=k7efNrAN61G;E@~Ux~?l%2D}_~)_Bkd+Ao(|cg-@ASWGvK~EuKQimb(zR)-m#&s-$C=Mt`R5?Yf;Y?TMO8u) zoRdUUYYKW?+igD_73A@r0zPD0+`cGA-m;8C&bOl1Xug&+%3mIJY@p4IH@@5F`6v(H zK64S_z0!PdJV@TToIESPJ0Dd{n=(JHo4u1BF*ocuXk~yeKhUsEk4?-2U4(Y=bP_!d z%O-OF_a7&tC;%ze{pVdItHnp<8s-=d!DSJ(rI&%<_LLv!zWnD4`?(gcK5n(q&e2sT zx|Peepr=pvQe9#4qXS7W9prDFWZwD!ydM-y9SC__Y3DYine3rYRTsBj8HicKCn39&IEzkbXO3KZX z*W^?t^;-Pan)?=*c7gb~g|Dk}v=~U@Tu2`Js_h+xoZJQ&S}4e6WNwvLkr;hDGe)D|hTs`25QTE17b&%MrBX_Du%@4707`$R7zvpcXH#r}C1JFTvCd z=o@vZzk#Oe1Joi=nk@mpM+(GNTXM9#1)cc0AvMnnzKNh+31PGk2oSsHXi$Rs0AFb3 zIp|@siuH;uC^oH|HyiJ+s2kjSlG6T9v_9D|(E@c-0;lW|&xXz_mfw!A1my2g_+()L z5ah_{)s9uD;;rUUk5szRsCwoRa9K`I4^=ADBcYvmT1GbGjDousqcy(%0oNUEa;lbU zWF$!({FbKUtU9w3F$Pe&Z(ae+3wu~5Fp4ePXZ{8>x%tQns83wNq7Wh$9dPnqqK!-g zWbOd(eBHlzV0n*G0_rFJvBIy}8FXXerX#-~nsSQT=_|xUL?0dbQEMoM>AgS$u?cZW zW4J;05jP#jcscDeErJhLD(nbls%Fq#b4$SuuC&a^AH*!;M*LCnZo)^NBYl2hPI?H~XxX|6jHG}y!z zs-u8y&_hdyQfkAQgpDS$8JLYry zi4xQ|;KM6G;p$u(EU|g93yQkFRh`)DaM+7tyrmO_rwgYx>O2E!)hc6p=%5>S+KfI5i=KeU4b&q%b z2^Gh$9DP}ftn5^PNP#-=yU@`#?Z*P0_?{!Dw~xbc%07T8lfoxx{kZ@ARL5KpGRwD7 zUHci+@hlTs$!p_}Zt|FuJjI09J(f{zxhjI!dY+atKjmEMuYG1(`}jzl=(*we4@mNU z9fSOSRky0lcCLOI-G)h#H=r0>oX^gz5nH_gQZ)dLbe&nrTwc`@SyaIB_LEMmI%Tb?E(4-5LN2~kRcTWA2j99@RMq=;V zAk=^n0c(I7_zmHmFxZhTI~&lfN5;gUqBG(j*tMRUORv$f1A8nJ`^g9-`?{NDfM}_E zcC015Cjm5v_sJlkcspWn<@JTm5dG6c*>UdSXiYT|Fhj(=S~%#n$B6TN`Nq|lu^d{q zi{JvWxaXr+LXe=tr7BBB(Ii%eM5oYHM_TqnA@Zo1jmd5p!a8BZU6ee0q&+aD^WRfW zP8}*^aVlKny-yVGq)*6hG77m8@o_Y+5_EizIi3F!@|(T@r{PL6N8|}=`Gs&9sAQm< z*;Nx-29E(yx(?X2lVsrboDfDGw`2-qg$c#Z0}52K{Nw{*jo34P`TJqvixa1EOu-El zTdpp8`J0XXhkYCqMcnXskNr@o=s<;Vh-IJ~w@Nxz39xZ?7@e2(D1Za<6p8(y{s%tCA0iQSM}O%{nwWD; zhzIQXN?8bFMCb~Wk{O*tsR{d&4}a&^E^+?2JK`dEzUd7q#WxOJRTU^xW3q?M=m|w;i>mcmJDx z92dopaMLz(M{us(=Dnj8Wh7uA-hy=;Ozv#T*so)?sr}oc%ABXZjCEf_Kd$}bCS0dmQnhk<=wN%ua=OY(f`4fWjz&rhWHMISkB=$lqtudprq-z^jz$) z2FFNMpT{_)K07?QtYS{&-ZwZn*N)XiWg68ye;8omiB=0Yjb@>w}%<+)&=Gtn!md3Sd@{nSL>HAPi+JXUx_WA z_XP&n9iU0Cb^-u0=JiDdHge6wz)3$BM0Kg^=4(2Ji0~URTM<TdS2vbl4{1M>zSyd-h2I(R zskvGr=a54QpZv>b7?Pw0Ct*QNTqQw9mDMdRM*GN;R-vlnQDd{+nX7*hb^m~M@oUXY z3YymvO+HS&(cb}(G8|*k&Vpl?{(A*&dmkQCsbi~E*8OtFB?*ODZnj>&vB)OC!B}?7 zum~IjFma{o>KB>@kbxP2Dl>K*iU?*+NW7{7ghW@FFC_=PeFKHVK^n$i~4Qsm6e`Qdc}(I_)~ zm8LILXY(@~lg<$6%SjOF1FHC820Vz7Lyq<@OqElAK4Wn_{7l?*29pP>smZ#Y-gDA# zvuc!LVlf7@XWmo_pre+ut5^W@W2Y)DWv#9j{<$BP9f;&}=%wY9A9eu9uxY6T%pCA+ z`NljsA!;8N;C;sobI>ypZvKaD)$$m`enYEsi4S5$(S_7|FBIrthAmF)Ko&VWv^*~2 zLK0duabNGzq1ycDawH<|s+x4fCq>EjwcRDmOnc!Ej32v7P?N9gyS#0!HY5C=2p& zpTDAf*U{Rf8L%Lv8}xD?O%HdUE5`Gp@b1SRFpF_~2uvU7iFWL)%}yZKzA5M-#r(Qj z_$nkbr0ZDO%crYK1H8kAp8bts{O5woQK!-Brg%5R?&@tQM6O2R;OtPbnrCx58{mD6O?PMQOV>n|gd$L?t||Y1CnxO?B#-xv_1hWtQ{m4zS3a3@ zSC{aPWcKj_ob}ORRNf<}(sg#+*!lD2I=h0aeJ@9yTG;)76w2SsTEm^!r+s}#@-j2T z4C*~LyKb(gYL6jp+-J2P+5ni_oD}Y%w8;hSN}PmHy3@)goo>F|oy|<)Ywqe+gBuo-pr*W39E?er!d0ut z#1_ut{YQIgky@bizWkEBW|1Pg3t%e&@A0X^<-paUpY zn##We8F4japfF=u(zmrMF%^+yv&}=NWga~-)bPNOteI9!bxig zoECn-GG)EWZ7##ctKl#5e|ve$3DVe#eay084zG0w+OZFCu>s(8@wiM~&!QLJZ&l;3 zDWs8L)J?=xVq4PBjG)lxh-t~*v;3BR%-lJIB3=A$Rn{V8czVgQFr1oCYg zk&2$fpb+9sJ9p@sl#s@Hkv|l@zj8r_ojJhX5`48ez0Ze`L>;j2nT`cCIH|=ZeGe z3GbQG7?13}9K8lnDVpln(b2hp*j&Mj9whJ#QXO^y+{oFKjE<>rE090)vJ{s9?qjkY zvd+#es?mrtQUEd7n!MJV;hJKU>8Naa8ft_(VjCW$d9F_HgITMydvGw0)eE_PNq}bC zGHZ#TwVw^rH!yUpqo`x$Gl3YpS8*rC1#+m=`M!ppS8%CN13BU3fm~x{rp#W)dif3A zwRK}$Y%_?&YqNr$Z0g{DD#s)K0ZahSqh6`ro=$Kng>Q}d*F949@m~9GLSiurOu0q6 zJkt7JA=0Q(s)7I%UwupN>TM(b5Y2kCgCcp2CE?z~EcT@rx?mWL2f^+c#M~g7t?2N1 z;yG84mg+V~On~ObItF4RT!Z_{Tji^zykCBF$9eMTe)yFk$rd@x6a#!J{${t6LA+sl#%`f_--GVKI-T1%W)$UmR< zN$TFGFMu*nJJ?v1s&)JtbnB#s8lHk344yG806CUi;I(cY(RyBTLvEwr%n2Y@a%2Jn ziZ1dpggm=qA7lxGOVxn-4(wR(7eKtIM&VwyK;qr2@pwrrP>}da;VYjm)(I9Cm6=>P zzxKFG9AZ4V(iI)J9F^TPy3?3x^m?fF1PE%f`Dm-|3^Pc%ZW2=UacTovv!00`1|4Qp zF7=YI>;YaTl>;WS{vH+h(Qtg}G9su;0;*wgYo)dWMW$R&1EdRR`86#{-(3|x4pbUy z1;z@W%~?Rv+Y|`y-jfEpBFI*Eqi{FJVhNYTX61lS$sdNl8tvJ=3HYeifn*d2VPY8{ zwI9MD#}6%LDsqZLjkK0=l~JV- z+0d3&CXs%ifPFel8-HysC~Sjo7J3r9M|HBaapg`EaF|W6E%C*L8*lL4n_#%q@tK>& z9O3~RL&U-}231`vZh{h!SiE^7k`hky9*-0T+f8tKjq0{aD1TSQo6`|PqKN=W%n($_ zv)S=X_hwR%^2mh#-<$P3`+}|tuTxUV50E2K@15PftKz)+u^tHexItcb_wPVpw(7EJ z;>|F+)A#wKgEwN+8zs6Ki;{D3@1p^kC4NmC6^a_F#!6PSV5jwVm(lCq!s0ar$Y-cG zdb>1E5vcc8tU}urZA!js!y&|&imK3h(Vow#w?g@RL-g+euzSZwpgnRHdl6gxufS`9AaO}z9db}?h$)VfdyL(Y(b-a`MQm~#6yw*nMNMMcTMKhMZo z?um(!bsN5^_bNgrZL^OVyw5-s4xuX5#3^B``zNby!5;++z|ox5A7~8(+k)z6Jk{k7 ztV2*$(EGM2RVxljRC8joGrUlvRvvT>q?;*fOZ<&X%DLihN9>S;SV`e^Ii!ts1!}>$ zCUsGg8*+*LNw@_Dd=vg0_S3i|vE}}3^(#Uf>A_VSYURXibZ1WvdM|}V$Q%MP)iK<> zz=OnSci-B~GR&8q)#!}mJ7hQq(nsT!U207Hb1XAR{_$%}3n>|@Z98JzOcUK?G8JO! z!NRe`CnAZZ0pVsLnj0X@wCba9xz*U*Q>>PD4GHscqvjqLDPnZYZGn@*f(pUvS&?$j z#QAH3=6hEYw68gVLD;=(s6{DPy-V6=C?JEd#iElM1?cXG+|#hsKX-{rw|s9TRS z0kd~+v7s0*)V%u?JD2+S=xKlz^himTgf}_xP;W=RIc8uT26e1Fqs*isa6f?A=)16C zbO}ZPi3tO({l`*@fS8WgScL_BET_U#^qPKKjG^l$Ce$~yQ zw{)lW;7YRKE2u4xFY|Vsm!v(vOO!d8DL8?^tIqmLM#~qo2>MZtYYS{Gxfm^`ZAKaq zKvx}0lv)0@b1~D34e_lx?EJ)1QL9jNGX-^KGgNr?baE8QY$)WpArF_^F-&)JmY05= zd6${9zkEV{gXhk8#;g&+&}|I7!~l)nI-#eP6K2nb3`TTS-^4o$yWM5vKDVuH(J1pt zOu1y7{lfTjt{A!55l{&E^3FPRr70HJ&E=Nm_4no*V?y$K(#p=DMMIb^w=`)pC$*+* z5u@HHnIl*p5Prbal3hOP0x*liaV}#zbVR%tYKSXOG~m{wtfy)gMDK;bwG`rQYNM1f zftU+M)~_DV`JY$w%7?87#<1k;&irCogx@Xwyc2KgsC?^lPOpKH(IS|R#qEQ-#+ta} z2l+2D8(@H#>OWx3CR!zY90+RlWq_qKB7EGfvP!v=b{LeEFoBK7%wGpGj|3+ypJ+?z zCU=7BdZ2s*E76Bo-M4_G9*1PQy>!((o2LRej0mn*d_aTXeUbs^X;hz|`wW6#Ac5YM zAZnz1#k+RFs<96)vC8Z1e(t`my$>8tBv2-UU@|no76YW|gu;zq(@_blJN*yba{@$VSL)(5OzBm z7hT61TiJsxGa_L=zp4|xMV$$QJ^We=pGkB9$|E~~JA&n3u-SS@+!v+l<(Aw{$9pak ziC@BI#N{tbvx2h|S%1``kZCAU0dPMI`9 z`?=HEb|$Wb1q-N!JmIPKM`Kw<2l}WZue!PPri9jk+z*;(&Po06nPtF>>9M?CDok6y znYN#{f5khPeV-jKyY_mKHgj)JAX~?YRerW%;XF8tzIaA|ETCB0aDcg}->Zd07yBC9y2Qv9^4 z7RP*g^Xa_RCc(|3mQ&PoXUDG6`P7H@#5$=gTN+ub9BYm;@)7LtsOV54Dd*@FVU>J2 zSwZgxv|ELzKERnFh|{{9Gar`EDdl_#493;)tn;iZ3@FVX9nW5Q>1JIWQ$ZgW&-5PQIFM`r2*bbyK>4mP&Ik zPNU)Q{8ZIDOZoI5IIm{Hs$^$B1sX}Ny}-ZrOk~=rh^dSruxAXWZ_=*vMZ&O4-Me!% zEsRnI%}(v&eOo{+=#aJW1Bhi0_zNz+4tQSwT7KUY@9HruwrPV{@|@F&UYgY6fXCH8 zI6EP@TWaGS>-AYF$>{~H+1kUwz`3uSL=8AY%Bi7B!_xq$z1p7K0QYgqP%B=_#bS9K z09HnG;lc*YMF51**eaBV#;Hww(=lxwQgbLV&3$i+Shv9J=o42@c&%HF6$g49P?KFNxr}WT1Qhz7z>;XAfC)i1qY66)u)!d=Tffu*>aAdeEqaKu53#d`;6~GKm^w&^r=iq%Vy41Ny{t z2DE2HAnnA9(N&xQT!BWdXwM1UW01`C9ceJ}OmYobV=_zVVxUd#-dE>O08Q?d_1g!> z|6JM|ICV*2bcwRhS!Az^RoeC8GR>9w9$TUq8q4!k_qf8{7DR@&H&aWFVBGH78)!^1 z*(-|-8hT=kX3?XCdpJhc@0VdajX(oGdFJGBFTLeW{G5F`o)Twx&BvIaMu;qm>BopWODZHqlKRFOnLU}*j+(ud*0BJl8XoK7b_trrnZ5#( zh7ddN#fr=W^GCLJI+Dr$$Zz)g_5@l4rfsma#L}s4@aboJx0D<_?ORBI_DhlX<=Yp0 zxIV30AKM^!$1!pVpcR2?AX`dd9I~^n<6?ua?`*xI-YjX9d*Zp$DtgNrn$QICk|fq# z@b+xpP}pi5|8|=99ljjZWIYNmV+YcuSTjBr`Pmj<4`OwN<2|vCbH6I>%-p&5y1J2$ z9C3x(Xc*Y=W~2QIO(^seD>XRP!e&$Ae95<*5YvT?QL9IV*HcfGJqPfl^lAzLYHqqP z!GL{xjggh;YKgrWhwF>G_mJ=i!Fpdm5f3s|Y8PlJLWlvM?|@G-@b!SuY(UB}b+sgE ze)k33yg2isVzrZncjAN5Oy+=MtpY+`c9-u18?!70@seWHeh*gNXljVToO!X;TTk50 zT|8i@GCV(H*5=nq^-<&&7a43R=MV-*uqFL!Y_J@J4O#NZxAZY(LASNW5-CL;E$bPD-$U>#_)f=|Q_pqn z!e><%43+|1@5*VLG~4Y_qkx?8j9e-Hy+vsxiZ#<|qBMx)Tp2BLd3!Xb5x|}g#q$9< zpskvOueOQR9p402rF@TXkq2(e{Cm;+QseT<5?K(L*8w6TgqXxT?1v8%>-bfE>eGB* z8f+u+yvxAmY?D>H?zxOguw0=LC5@ie)axc+e6p&5S3zsX@Pnd*0Pz9L-z+OCzh)<^ zOY%cr0p&@YK%pRsBvzn(jH!XmB+I1t(FuiDWM4&P;?i^JR%I`G$+5?GTf5ClS|DRr zzp+|2EasJ<%EBksYAmk`PrP(}D>)U#2(`@fVr-R<7FZIUQgOY4J}9?&dbUuu_u z1d#x&`>1b>d(%-bJR~?q5Hl+W0&G4x(XT=_Z1O#Uv_qM31sFXk9U9MSln+s9ColCE znuTw!Hs&-|0{iw0G9)-Pkv>J`ytT z9a3XK$jX7oT!o|~KuFzRH}LrqI?7Q>;W8OGm_sjyi2G!PYOU#)SZi6y9-8Si zbbaVkzG$tZ>>+CnOc#9PiE-~d&An#BoqoVyYYJy5$DNVoC><35);Y>zTTAOA6qRyG zhOY*i02X%q0B?_Tvtw(qmKl`sUTv*OYxX9D7dh~TD~O9$`l#_BS&8L9x;%4oPrjcP zaa_0x%%d^+Nb7W87g1N@%m>O+lj<~L#PHETdRMv4*SAmLj$^-*gL#sdp=lMQILKU( zesG5<7%DOFfPwr50A2>MaHg|+)2 zPZNsQ`=wXQ0Wc|7RESO|w?-NDjwp?22k_LVhXDDm-faQ+RZ1{`J)A-Rc@rOX2CW;G zz2@`<7%FTvH&ON(jt*_*N}Sn{L%Au+C{Y3$CAnxxOAj93A{sy)H3Df;40Kt@2{sOp(K=qg`a?pFm0^EKD){={n zC$<_d6{|%VSvn~fJ`TtM-#D9H`q-^1WhPSPxXU$MB+~ICwEeZd&j6=cLg-Vl0G6?n zRUrFv>FDa*BIK10ggygT@IYFP$hPhp8pR$(Saxq*8Vefc^{Cqd`tUBN&+?I_5ZWJR zI;rHfM~lM)xCLNF@r`@aGWgckAZEU(m2W>sF~3+cqrd(Koz^3jCCEXm%xy4jGbvnl6ztUJkR(8c13Iw~%F z{#MQ*uQQxBAsuI(us#!!;iakGpL~4ph0LueBOa%lg_g(A=EA@qL7<_rb-_IZ@}xgE&Cfd9pbkv`N{p#0i1Xv%A#rNmUT>ifk{%igZpY zK(ikKX3o_1DFGa=Ud0GV$t3Mh8u7tuWlvT#TGV)~31w`_w3~uGdvJiLs@u zUAGZlpPhJs82Tp9eE(&hrPn%Py$Q-}uU$ef8VETxoz=+^#pp0WR5Q%}PTDEiyaV-t zmlq-=!6yajREPM|z;^?MRlG(TPD_~sTpQP-3A8Zq_6KJYOE|eX0zqMZrfW8UFmnzo1Rfvf|a zbL24C2?J5om5)%vqA&@)G#J)72sh}+vRG;uNc}s}snpKQFbErccoZt_A6go&fwkQO6#F>@{J-~=b0@b2p6if*5 z`SIZQ(a=l)XY+d6Y>GN3OFWB-bq0#`&^XbxQ5>C@*kzCe0@)cF+Z-LEyp`23aiAEz zeg&Z@Fh$Iiqp6p$1B_8yLyeS&PDf~`IzXY=1j^;{J{u;D+rP{BMjvB)kq0C+mikj)oVD`q_}DyP^JHp-<*kpTXgU;q=BAO&B?y$% z{_Vjz_?i!K!HZq#_UMX`Lx*f47}x??=#z;F7n=@XTDcO@Ru0IcBlXBJrawZ34B>$oR-BrW~$@T*83{nfd zwF@S_JlqA+BM)3LKOP8J_mxB1yMQCf+S+IbQ}`$NlBNw90<@9h(ed4$iYcdGb6rFL zzuAq0`uCdA?~|DdkcDbbHyus6nv!2oDe3k5fm4Rp8APjF`q^0jQ;dH(WDX)KC;Yrv^U^2=`Db^g+RRAdvmf?n6X5VG$%94^ z%7Q5%W1?(}p}fp|!Hs1}(?7VF$8^C8VABP^_kc#4!0FU@8gd~xEu|s9wVSv zZ_GgrcJKDdO=1(t$H~}uc(knMf5`rdP$mG9%ilhDS1!JIu#Hh?Lz#u?xU0Zm_Mal# zcD*@q$;_I)0rXTquvlDjR4&X=bWj|Ny&f>r2EGU-D@i&J zue!-pL@>3k{D0c}&afuW{%t5KRVvmhqR6mX#Dapzo+&D#C`M$1fE5`60T~e?ggB~J z5paRB3n(j$f)I8P2PhaoLf8QjWP}k$NC<)O|J}j_MP2kxhX5J4jQ#?}8C`3r1liy@49ssn}_W2YaN?C0X4P0!7*GhMKC zHHh597Ob$vQ|r7lc7EGaW7XVeCeKdqOrRaWvAugGjw8&Lg>3;~$%zDLfAJ9JUqeH~ z^}2J99WNE|)Ay5Av}`wM?k^@RETdT2$t*YNbDpHE>L;GR@Vx&UX(n*I(oWx z-c}?&6o5P0&Z7enMB^fWs!Rw#@@iA4*fzhd=d6KJV2jxNZ}Y|$AQtl*yYs8NfMD}8 zKfU<~8keq{bP_&zN>KAMGybm4&Kgc-Ru~xc;I-Kj z*T1&+{(#H!-#;miTD;h6bzw zcPhJUG%x-W$Rn_56Y&y<7Xr{*CGi20%+7ZKJ2VQqc3;pXnp5xI*|{fv<}mwE+RXmC2A!`tayp|v(!#+Shihj$Wbl!<&xqVc3 zPnf(*P4Zg^Q2oN>{|jmS6!HAXbbgC}ec?)mC(OCx1DY7mBqO1x>GG#Q>TIh2)lzN5 zcAIf3l5qbo9N}WMW6q#sw|&96)dZp-j3qfvc9uzO+(LT!jg9TdIx#1j#8Ja`#^6W8n3WzbX{Nbi?t8dQ|5F}(orQ>>LDi@R_A*kA(1aa+G zm*Y=u32UD`GYNmiK+FH7kGzkyP!$e_L82nb8BjSA-R6MpHEZOTn#$!P>+l7hQ3wH! zkQSji(*&XkAE}P>ean1F5cs<(!xv~y1a-PfA})#pny+&`zGv409`g8MFL1+g-ky40 zHZuQ(O8r^>#(x0##y&8&mDqG|oaP6h|N1)<+9JQgWXz7BL~g0ui`4&LpjU{VOjuKr zK>!JG!76VPY&^)&j$VR5!c(bYoo>9eeQFj~BA^oS0DF7yi+*Jt{x1kK0Ik@s~^vNET?~WHyV(mWi8ms zttuemTL2KAreSZDEyzw-9a7{n~LM@Vt?1R*Ug_zKD}z=_xFhJuuB}@vZnrVxwmt6 z6YdkkyjZ*0g~{hNbDj^K)z}ppF>cP`h_mWng;{{hV>|QL`wiXa+eo z#=Xl61~Cnga6Q5UtkZ`u4olk@7au>%*-J^&T#%|o@Udozy2VQc->b{YoxRS>uP6Oc zNI%tCZYAeMXAfM=_uZ?WEEkrvLFK4pYf^2kIGc*~EiPi(Wkw*C;D?tYite3j6%y{D*g#R7r*dxd zPi}W!w_ro!DRwW`v-|5wm4)kb`R_Naw#d(?dYqsY2v-cwX0X(E%l#yEr+N@uLZrse z$<0BXTcomPE`HKCbYMHb{cu`&a!2hZnv7`Gv8fZ-49?7t)|nGGO2IgugXmsy)59bK+>kTn+uQ|ChUaNl2b<0|OVV~? zRB-CqKz1GAHl8@&8%J^H)*m#M#mVO|n(_Elps#PSg(ZLaQqEGH6YhfI4BQI={*&(TC^C~9GbAp(?+-fF>ayLTz z@j;&+*@HGMT=C{_`;(SN4fQGe9Fqf(^$9W5Qr$<8dg_?`MpiX@QjIiy_}dc^2D+c( zg32{w*vGo_CW+-?OAFo*Z5xttAf3dGN;@SZ<{6xRntD0(%I&SEJKL;D5@x=Hu8M-f zC0~o0{CqP14<$dOKW_(WF|&Loo{4*oC_N16_53*6SAgkw(a8PV8d(AhFWx!vG_R8c zCK$}cTQ#JX_raDKn`G=8yQb=%h_w!rr*8=TDAFlOp1LuP5bNn=uVRJPjBPR3+3qi^l_ zmSohk3{~!q52qI8^YvspNci?#4Anp>nZV~xkS#h%qdam!cBF9k<xY^_CD9E8I+g??}7gm9ankc^kR4Aif@C7p%C+SWAuVOX6YU91z22C69D z&=Aqn$2!^gVtDd@klQOjHHKiixrorVePd%8K4p4dXw&fRYj%K+58L+;Dwl$#YMt_z z6_Zt!q1>6cVFt^M-oS$EPrj}WJxx23|qNAf&@m_ zwtUCKlCu#!R@Mc5!xyi?^cw+UU&;AcbN#teUg=K3wEAZaR(KcawRg((x-0}O?6@k! zXw9O!(HBz9J@!gHjM@Zm#4e{spO{;EWY8I?ddoJezyzJ3kgX>Z>QP-Z!T5!ZOgEs- zAA{0r6O+kIr@+e5<0EYBa8|hfRHKqQnD2c!!&S58i*6p zMq3J2yCbDBQE#~)X6x8REpfV8^l~%5;y_LxR~t^RtIGPNH7uy9DQHX^e*E0CT3G|X zq|8ZKh~jLK^^Q8B?tyDgbQ`1*=3mJz{N-Zyj9&7_NREijjZz5L7D6sQa%r4U{`)g8 zD?CnyF?IgJPl`lP!>Gzxu@%>-UW64n4mWPp0~o6%?2ng0A;;frqS3Fd7V8>rfkhrc z<@vQc1{I??1$DBsawaL|1c;d5--D;9wIH7-8)jx%8MguA zr(N*{i{K{zHZsubrj-<5m9^B}x;daiutZu-pOYB?6A!Eqal|iAKyKXk*=qe*Zh1B0 zNR3K<@~rU9)^yaE1(0H6{!<*>V=yRMhCxxcj2Y)VEsug9&oC{iX)&A_WrMojytBlY zkn_(yjvWG3JA)Yj--P0~Z3r!H0`{|QH-N--q{26dudmDag+5As?!5R(Qg6}HMpRyR z>jxC*%k?gMJj&)pV)V_`!)6{P4@z!mF(gyldU_HZ5%#c2+G)BC#9ZtfBi|qXV`44T zC!zOVEsx2MP_;(B7lKnWM`Db19m4?suMzMkRA*cR%VZGFSl;y^Yf=p&S*8IDeixX2 z6zSGQr1^)^ShwP%Jf)&G?1y72NHPA@ivwukPi_i_|1U;t_bc89^89ex3hOUU@6>G=WI)2NT5f)kVevDqh znMr35UZ3kMLPL84mpwW`R1f%&&6>wK(Xsj?v~*lX*wl5o_lRQK;uhJJ7r0426gE-Z zKGZjW@8k78#(&zB{8kyt^ToEq3#&@^B2l$BxZMrPicVos=~J`42-VBom&{E^Y3S1M zN5FgkV`YTY*AbeC6+kgL52JW5O>kFn*PSutmuX0CxU42x_3Sg41eVddxFhY^Gx_b1 zgNHQ}@dkjw@6PY&>FSE3gPs^SI>;p*Up(}CVDIg)lo=QYR}WQ9KC(FZ4w0cFcot>z zBK{Vw1PP~*$7X(#WHgAJD5Gdi)y`QM5T5D;f=%l3syxBjrzINp(~MhKGWF0>9E_p^ zFq7-Wd7iwqw;KNe*sgWsE^<8EFu!6%Cdz>vTDG)rx;YFN_*#p}T01%T?%{0r`3uWM zqg9hY@0-dvl3%_Iwz3kw8#hHK)ec@?b>&DuGuRw-hDv6r@jwk_P2`Q_m`PUOvBJtB z$)29$MjIY&TJtb;vM6#?6>Hs=Af>qrQ=o2PH+%U+QD2+%eTrUH#%M)(S3b$iMtpg3 z7*$QL3NAy#`Tde*K2 zXnOEmbZ^*YXhcDex`G;84JfgpruM6TcZ+-lPxP^SwCZbnsT2X!uR)tjZ5aK)6yld4 zb>}4%uMexOlX*SEU2+wm$wUy?gfLspDkffKx#*`$G<+>2Z=Sk0xCo9tme2)p;z3`X))9f_Z(i@X z$E=UG^h%C@Z)u51XacPp34$pLp0}%4r$p;Z!t|dbXcJ`P6zs~cCGw{8?28o%Eh}im8HUwuzx2hY-1X3&IvjP+}yi?#?!E6?~=Ey zhlTjvw-+>D4^#|3I9>=2r)}||u>*|63V}$ zmw22efOGfppKQ6&)egP)z{_qigsyblnJ|V$a(1x(?k?Y`ByIF>FIJLwE$AUFVq5G) zFrcdP7{$)@#S@oQtLlJRKG{w?}xC`fPGj!@qc^Hbte|~G1_{DrElh}1|W*-s?iE0kIEg3JNpU}h{ zsPOoZ8khX$pv&~f-@O_ql>VM*2ua*+_=8T0S8@90|m|G;ES&{hS|~o$H`7j2^YmaMPCNe{%exf=QuNtMZ}7iId~Sfbz@&8 zl@>SGV31hTa!GCk8Q>F^fKvK!iIst(fTYtS6hDy}sz3;Z$+HY3wH|#rK{G7;L?nl! ztmcSLD=P~Qk5cuE*L8A#I<6iA%CZ=?(KpDcs>;Oll&T_1i-o`hkq7S6Jkk0k1)7k!w<-sGk@H_;uZu|X}tzB9i5yc1Es};XvIS7 z6p$4fNIrB1I^rM}^`YkXjk~rikD>`Pme16I@0f_6l9Y4#BwGenrJ9V9U{GXpADnG0Zox1TfEheza| zI&*-(xSaQ$YfjYqvI4ka&(?0#vP&suRAZ7xd~En`SYu6d^WxHmt1E?uV1H^Vl^#Hv zJ6J9*tv&U#%zVt~CTB-%2$W&5hFN*itdmnlDYds8?CslnAf!3e2Nq9~+DoCaFs89a zZnKcO6hZFrSKe*{5d#Y>7vBK@H^w+%SDRw?+I?C(c9O?}Grq6dpzZDbT_q$Ei3~!h zSJFcFcchp@PcDqzd}sqbGmNp7=LMR^zf+*ci!k{1A*cX=GH?m|_p#d(7Wi~@3R zL$$1q|6qN+(Nuc6Okmz{I^Gk5!4E*M1z$QtSSGF&`r(t8B(il-mwbyXm*{NXQN~z} zu#nKX{(t}T?;8Aj4*s=;fBnI~KJnkU@NaDVf6fmIF2KE;3mtF^i6=ckkD%%^EXGFU+=gJcrFbP25j<-N-8ym6giac z@Z)!sG8n|<&W&Vk*S`2MUH*8?W#v_W=x9MQHPp11cd(zoqCPHpe<$CobkIcd{77&1V)!$Z!|eG zD)=7NQs|TrwY)n%j%^*^r7=Mxwy#0zfbBi7irFo$Fz{F(V*Lwg`era57xr zkeS>29q&j$9zZ?f1i4OJRj>w!hf1m4ry8Sj-8xogWJPZ z<5Yo+Mp4|vtDw6EQ7s3Jh2Rz@Gj--aq8wT%iUSilh2aXbpBfCu_WaJX^^*4ul zkgs%)`VQWQC;}r|Nj~f}fg-8dp|(MP>X)_>-#)F@)?I0}!cahlxI$f`5`1WU8>I}c z)ffwFeqZJ|0;lOU+{86VfwvAhGA>LhyDB2efdAe%|Z&vVqT;82=g&}8Kz$co#K?km8l4==DMc-8=@(1{Myvf^v$E*+9vXkN&5D9fYu zHYbd==l9(-H97fAR7mKVx|1kb&AssqLri8o!H_!w?aBoodU@iod4a_M_9G6oxA)GZ zcj!=bmL5Diz%(3(&kbNC#}9$_bPnjXrn$d4Y1wo>*lVOYMQ$z=7SJ^n-RD#VtSRRZ z08HR1B56mQx%D=hmg4%>nTd6;eYVlzhBCLU~X1DZYqn3iD`#^=+Nr-WfNAzJzFSc^)+=lo@(P&L-m?v{@<4{!l4JQ z6xtMoiwgjN*DZ2&1-X#obFNWX=*pVFP#7A>0uZ&K94hJ0Z-7-aI|mdPH{?c^V)Iwj zCmL*!%)re8xMFpv3w` z+v1HcbxI5ARsdi1W&=stokm`d)cvb zk|@0jWoIX?oVOSd(_*djmUeZL8ck@+DECa+y+=GCQiqe=mQjdLEu`dlqb-Meh-P}1 s9i@Va(u2xb-m?O0gWdW6_~*x6uHSQ}YJn~C5P8Zm Date: Mon, 13 Mar 2023 11:22:13 +0000 Subject: [PATCH 055/128] v 1.0 of hard_count layer --- neurallogic/hard_count.py | 73 ++++++++++++++++++++++++++++++++++++ neurallogic/hard_majority.py | 4 -- neurallogic/hard_xor.py | 1 - tests/test_hard_count.py | 52 +++++++++++++++++++++++++ 4 files changed, 125 insertions(+), 5 deletions(-) create mode 100644 neurallogic/hard_count.py create mode 100644 tests/test_hard_count.py diff --git a/neurallogic/hard_count.py b/neurallogic/hard_count.py new file mode 100644 index 0000000..85573a6 --- /dev/null +++ b/neurallogic/hard_count.py @@ -0,0 +1,73 @@ +import jax +from flax import linen as nn + +from neurallogic import neural_logic_net, symbolic_generation + + +def high_to_low(x, y): + return jax.numpy.minimum(1 - x, y) + +def soft_count(x: jax.numpy.array) -> float: + """ + Returns an array of soft-bits, of length |x|+1, and where only 1 soft-bit is high. + The index of the high soft-bit indicates the total quantity of low and high bits in the input array. + i.e. if index i is high, then there are i low bits + + E.g. if x = [0.1, 0.9, 0.2, 0.6, 0.4], then the output is y=[low, low, low, high, low, low] + y[3] is high, which indicates that + - 3 bits are low + - 2 bits are high + + E.g. if x = [0.0, 0.2, 0.3, 0.1, 0.4], then the output is y=[low, low, low, low, low, high] + y[5] is high, which indicates that + - 5 bits are low + - 0 bits are high + + E.g. if x = [0.9, 0.8, 0.7, 0.6, 0.5], then the output is y=[high, low, low, low, low, low] + y[0] is high, which indicates that + - 0 bits are low + - 5 bits are high + """ + sorted_x = jax.numpy.sort(x, axis=-1) + low = jax.numpy.array([0.0]) + high = jax.numpy.array([1.0]) + sorted_x = jax.numpy.concatenate([low, sorted_x, high]) + return jax.vmap(high_to_low)(sorted_x[:-1], sorted_x[1:]) + +def hard_count(x: jax.numpy.array) -> bool: + return 1.0 + +soft_count_layer = jax.vmap(soft_count, in_axes=0) + +hard_count_layer = jax.vmap(hard_count, in_axes=0) + + +class SoftCountLayer(nn.Module): + @nn.compact + def __call__(self, x): + return soft_count_layer(x) + + +class HardCountLayer(nn.Module): + @nn.compact + def __call__(self, x): + return hard_count_layer(x) + + +class SymbolicCountLayer: + def __init__(self): + self.hard_count_layer = HardCountLayer() + + def __call__(self, x): + jaxpr = symbolic_generation.make_symbolic_flax_jaxpr( + self.hard_count_layer, x + ) + return symbolic_generation.symbolic_expression(jaxpr, x) + + +majority_layer = neural_logic_net.select( + lambda: SoftCountLayer(), + lambda: HardCountLayer(), + lambda: SymbolicCountLayer(), +) + diff --git a/neurallogic/hard_majority.py b/neurallogic/hard_majority.py index 8f208a0..941523a 100644 --- a/neurallogic/hard_majority.py +++ b/neurallogic/hard_majority.py @@ -79,7 +79,3 @@ def __call__(self, x): # where k is the number of high-soft bits required for a majority # and where k is a soft-bit parameter. Requires constructing # a piecewise-continuous function (as per notebook). - - -# TODO: construct a soft-count layer from sorting/majority approach -# output is 1 high-soft bit that indicates the number of high-soft bits in the input diff --git a/neurallogic/hard_xor.py b/neurallogic/hard_xor.py index b35e8ef..9c75815 100644 --- a/neurallogic/hard_xor.py +++ b/neurallogic/hard_xor.py @@ -14,7 +14,6 @@ def differentiable_xor(x, y): def soft_xor_neuron(w, x): # Conditionally include input bits, according to weights x = jax.vmap(hard_masks.soft_mask_to_false, 0, 0)(w, x) - x = jax.lax.reduce(x, jax.numpy.array(0, dtype=x.dtype), differentiable_xor, (0,)) return x diff --git a/tests/test_hard_count.py b/tests/test_hard_count.py new file mode 100644 index 0000000..b7f45ef --- /dev/null +++ b/tests/test_hard_count.py @@ -0,0 +1,52 @@ +import numpy +import jax + +from neurallogic import hard_count + +def test_soft_count(): + # 2 bits are high in a 7-bit input array, x + x = numpy.array([1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0]) + y = hard_count.soft_count(x) + # We expect a 8-bit output array, y, where y[5] is the only high soft-bit (indicating that 5 soft-bits are low in the input) + expected_output = numpy.array([0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0]) + print("soft_count", y) + assert numpy.allclose(y, expected_output) + + # Same example as above, except instead of 0s and 1s, we have soft-bits + x = numpy.array([0.9, 0.1, 0.1, 0.1, 0.1, 0.9, 0.1]) + y = hard_count.soft_count(x) + # We expect an 8-bit output array, y, where y[5] is the only high soft-bit (indicating that 5 soft-bits are low in the input) + expected_output = numpy.array([0.1, 0.1, 0.1, 0.1, 0.1, 0.9, 0.10000002, 0.10000002]) + print("soft_count", y) + assert numpy.allclose(y, expected_output) + + x = numpy.array([1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]) + y = hard_count.soft_count(x) + # We expect an 8-bit output array, y, where no y[0] is high (indicating that 0 soft-bits are low in the input) + expected_output = numpy.array([1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]) + print("soft_count", y) + assert numpy.allclose(y, expected_output) + + # Same example as above, except instead of 0s and 1s, we have soft-bits + x = numpy.array([0.9, 0.9, 0.9, 0.9, 0.9, 0.9, 0.9]) + y = hard_count.soft_count(x) + # We expect an 8-bit output array, y, where y[0] is high (indicating that 0 soft-bits are low in the input) + expected_output = numpy.array([0.9, 0.10000002, 0.10000002, 0.10000002, 0.10000002, 0.10000002, 0.10000002, 0.10000002]) + print("soft_count", y) + assert numpy.allclose(y, expected_output) + + x = numpy.array([0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]) + y = hard_count.soft_count(x) + # We expect an 8-bit output array, y, where y[7] is the only high soft-bit (indicating that 7 soft-bits are low in the input) + expected_output = numpy.array([0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0]) + print("soft_count", y) + assert numpy.allclose(y, expected_output) + + # Same example as above, except instead of 0s and 1s, we have soft-bits + x = numpy.array([0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1]) + y = hard_count.soft_count(x) + # We expect an 7-bit output array, y, where y[7] is the only high soft-bit (indicating that 7 soft-bits are low in the input) + expected_output = numpy.array([0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.9]) + print("soft_count", y) + assert numpy.allclose(y, expected_output) + From 16b9f08bcb3cf7ea55dec5980ec2d7dcf27960ad Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Mon, 13 Mar 2023 17:12:31 +0000 Subject: [PATCH 056/128] experiment with hard count --- neurallogic/hard_count.py | 11 ++++--- tests/test_hard_count.py | 1 + tests/test_iris.py | 66 ++++++++++++++++++++++++++++++++++----- 3 files changed, 67 insertions(+), 11 deletions(-) diff --git a/neurallogic/hard_count.py b/neurallogic/hard_count.py index 85573a6..27e72d4 100644 --- a/neurallogic/hard_count.py +++ b/neurallogic/hard_count.py @@ -7,7 +7,7 @@ def high_to_low(x, y): return jax.numpy.minimum(1 - x, y) -def soft_count(x: jax.numpy.array) -> float: +def soft_count(x: jax.numpy.array): """ Returns an array of soft-bits, of length |x|+1, and where only 1 soft-bit is high. The index of the high soft-bit indicates the total quantity of low and high bits in the input array. @@ -34,8 +34,11 @@ def soft_count(x: jax.numpy.array) -> float: sorted_x = jax.numpy.concatenate([low, sorted_x, high]) return jax.vmap(high_to_low)(sorted_x[:-1], sorted_x[1:]) -def hard_count(x: jax.numpy.array) -> bool: - return 1.0 +def hard_count(x: jax.numpy.array): + # We simply count the number of low bits + num_low_bits = jax.numpy.sum(x <= 0.5, axis=-1) + return jax.nn.one_hot(num_low_bits, num_classes=x.shape[-1] + 1) + soft_count_layer = jax.vmap(soft_count, in_axes=0) @@ -65,7 +68,7 @@ def __call__(self, x): return symbolic_generation.symbolic_expression(jaxpr, x) -majority_layer = neural_logic_net.select( +count_layer = neural_logic_net.select( lambda: SoftCountLayer(), lambda: HardCountLayer(), lambda: SymbolicCountLayer(), diff --git a/tests/test_hard_count.py b/tests/test_hard_count.py index b7f45ef..0a5e15a 100644 --- a/tests/test_hard_count.py +++ b/tests/test_hard_count.py @@ -50,3 +50,4 @@ def test_soft_count(): print("soft_count", y) assert numpy.allclose(y, expected_output) +# TODO: test soft_count == hard_count \ No newline at end of file diff --git a/tests/test_iris.py b/tests/test_iris.py index 95f1508..6bad86f 100644 --- a/tests/test_iris.py +++ b/tests/test_iris.py @@ -6,6 +6,7 @@ import optax import scipy from flax.training import train_state +from jax.config import config from tqdm import tqdm from neurallogic import ( @@ -16,6 +17,7 @@ hard_not, hard_or, hard_xor, + hard_count, harden, harden_layer, neural_logic_net, @@ -24,6 +26,7 @@ ) from tests import utils +config.update("jax_enable_x64", True) def check_symbolic(nets, data, trained_state): x_training, y_training, x_test, y_test = data @@ -147,7 +150,7 @@ def nln_iris(type, x, training: bool): # mean: 94.18, sem: 0.13, min: 80.00, max: 100.00, 5%: 86.67, 95%: 100.00 # Using majority with margin # mean: 93.95, sem: 0.13, min: 76.67, max: 100.00, 5%: 86.67, 95%: 100.00 -def nln_binary_iris(type, x, training: bool): +def nln_binary_iris_1(type, x, training: bool): dtype = jax.numpy.float32 x = hard_masks.mask_to_true_layer(type)(120, dtype=dtype)(x) x = hard_majority.majority_layer(type)()(x) @@ -163,6 +166,47 @@ def nln_binary_iris(type, x, training: bool): x = x.sum(-1) return x +def nln_binary_iris(type, x, training: bool): + layer_size = 20 # 80 # 60 + dtype = jax.numpy.float64 + x = hard_masks.mask_to_true_layer(type)(layer_size, dtype=dtype)(x) + x = x.ravel() + """ + x = hard_and.and_layer(type)( + layer_size, + dtype=dtype, + weights_init=initialization.initialize_bernoulli(0.01, 0.3, 0.501), + )(x) + """ + """ + x = hard_or.or_layer(type)( + layer_size, + dtype=dtype, + weights_init=initialization.initialize_bernoulli(0.99, 0.499, 0.7), + )(x) + x = x.ravel() + """ + not_layer_size = 4 + x = hard_not.not_layer(type)( + not_layer_size, + dtype=dtype, + weights_init=initialization.initialize_uniform_range(0.499, 0.501), + )(x) + total_size = layer_size * num_features * not_layer_size + block_size = 40 + num_blocks = int(total_size / block_size) + x = x.reshape((num_blocks, block_size)) + x = hard_majority.majority_layer(type)()(x) + x = x.reshape((num_classes - 1, int(x.shape[0] / (num_classes - 1)))) + x = hard_majority.majority_layer(type)()(x) + x = jax.numpy.array([x]) # TODO: shouldn't need to do this + ######################################################## + x = hard_count.count_layer(type)()(x) + x = x.ravel() + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + x = x.sum(-1) + return x + def batch_nln_iris(type, x, training: bool): return jax.vmap(lambda x: nln_iris(type, x, training))(x) @@ -179,8 +223,8 @@ class TrainState(train_state.TrainState): def create_train_state(net, rng, dropout_rng, config): mock_input = jax.numpy.ones([1, num_features]) soft_weights = net.init(rng, mock_input, training=False)["params"] - tx = optax.sgd(config.learning_rate, config.momentum) - # tx = optax.radam(learning_rate=config.learning_rate) + #tx = optax.sgd(config.learning_rate, config.momentum) + tx = optax.radam(learning_rate=config.learning_rate) return TrainState.create( apply_fn=net.apply, params=soft_weights, tx=tx, dropout_rng=dropout_rng ) @@ -190,6 +234,12 @@ def create_train_state(net, rng, dropout_rng, config): def update_model(state, grads): return state.apply_gradients(grads=grads) +def my_loss(predictions, targets): + return jax.vmap(lambda x: jax.numpy.where(x < 0.45, 0.0, x*x))(predictions - targets) + +def my_loss(predictions, targets): + x = predictions - targets + return x*x def apply_model_with_grad_impl(state, features, labels, dropout_rng, training: bool): dropout_train_rng = jax.random.fold_in(key=dropout_rng, data=state.step) @@ -204,6 +254,8 @@ def loss_fn(params): one_hot = jax.nn.one_hot(labels, num_classes) loss = jax.numpy.mean( optax.softmax_cross_entropy(logits=logits, labels=one_hot) + #optax.l2_loss(logits, one_hot) + #my_loss(logits, one_hot) ) return loss, logits @@ -308,10 +360,10 @@ def apply_hard_model_to_data(state, features, labels): def get_config(): config = ml_collections.ConfigDict() - config.learning_rate = 0.01 + config.learning_rate = 0.001 # sgd = 0.1 config.momentum = 0.9 config.batch_size = 120 - config.num_epochs = 500 # 500 for paper + config.num_epochs = 4000 # 500 for paper return config @@ -327,7 +379,7 @@ def train_test_split(features, labels, rng, test_size=0.2): labels[test_idx], ) - +@pytest.mark.skip(reason="temporarily off") def test_iris(): # Train net if binary_iris: @@ -344,7 +396,7 @@ def test_iris(): rng = jax.random.PRNGKey(0) print(soft.tabulate(rng, features[0:1], training=False)) - num_experiments = 1 # 1000 for paper + num_experiments = 1000 # 1000 for paper final_test_accuracies = [] for i in range(num_experiments): # Split features and labels into 80% training and 20% test From 3fe441b51065f00fd2b7675adfa9418c34d816af Mon Sep 17 00:00:00 2001 From: Ian Wright <55286208+Z80coder@users.noreply.github.com> Date: Tue, 14 Mar 2023 11:53:27 +0000 Subject: [PATCH 057/128] simpler architecture with comparable performance --- tests/test_iris.py | 36 +++++++++--------------------------- 1 file changed, 9 insertions(+), 27 deletions(-) diff --git a/tests/test_iris.py b/tests/test_iris.py index 6bad86f..afcb7ab 100644 --- a/tests/test_iris.py +++ b/tests/test_iris.py @@ -23,6 +23,9 @@ neural_logic_net, real_encoder, initialization, + hard_vmap, + hard_concatenate, + symbolic_primitives ) from tests import utils @@ -167,47 +170,26 @@ def nln_binary_iris_1(type, x, training: bool): return x def nln_binary_iris(type, x, training: bool): - layer_size = 20 # 80 # 60 dtype = jax.numpy.float64 - x = hard_masks.mask_to_true_layer(type)(layer_size, dtype=dtype)(x) - x = x.ravel() - """ + y = hard_vmap.vmap(type)((lambda x: 1 - x, lambda x: 1 - x, lambda x: symbolic_primitives.symbolic_not(x)))(x) + x = hard_concatenate.concatenate(type)([x, y], 0) + layer_size = 16 x = hard_and.and_layer(type)( layer_size, dtype=dtype, weights_init=initialization.initialize_bernoulli(0.01, 0.3, 0.501), )(x) - """ - """ - x = hard_or.or_layer(type)( - layer_size, - dtype=dtype, - weights_init=initialization.initialize_bernoulli(0.99, 0.499, 0.7), - )(x) x = x.ravel() - """ - not_layer_size = 4 - x = hard_not.not_layer(type)( - not_layer_size, - dtype=dtype, - weights_init=initialization.initialize_uniform_range(0.499, 0.501), - )(x) - total_size = layer_size * num_features * not_layer_size - block_size = 40 - num_blocks = int(total_size / block_size) - x = x.reshape((num_blocks, block_size)) - x = hard_majority.majority_layer(type)()(x) x = x.reshape((num_classes - 1, int(x.shape[0] / (num_classes - 1)))) x = hard_majority.majority_layer(type)()(x) - x = jax.numpy.array([x]) # TODO: shouldn't need to do this ######################################################## + x = jax.numpy.array([x]) # TODO: shouldn't need to do this x = hard_count.count_layer(type)()(x) x = x.ravel() x = x.reshape((num_classes, int(x.shape[0] / num_classes))) x = x.sum(-1) return x - def batch_nln_iris(type, x, training: bool): return jax.vmap(lambda x: nln_iris(type, x, training))(x) @@ -360,10 +342,10 @@ def apply_hard_model_to_data(state, features, labels): def get_config(): config = ml_collections.ConfigDict() - config.learning_rate = 0.001 # sgd = 0.1 + config.learning_rate = 0.01 # sgd = 0.1 config.momentum = 0.9 config.batch_size = 120 - config.num_epochs = 4000 # 500 for paper + config.num_epochs = 4000 # 20000 # 500 for paper return config From ac8273a8f364d9b3872443b9541a2548d1e656c2 Mon Sep 17 00:00:00 2001 From: Ian Wright Date: Thu, 16 Mar 2023 15:47:39 +0000 Subject: [PATCH 058/128] more --- docs/db-net.png | Bin 0 -> 28719 bytes docs/db.tex | 166 +- docs/logic-gates.png | Bin 0 -> 238237 bytes docs/noisy-xor-architecture.png | Bin 32691 -> 34875 bytes docs/proofs.nb | 34902 +++++++++++++++++++++++++++++- 5 files changed, 34817 insertions(+), 251 deletions(-) create mode 100644 docs/db-net.png create mode 100644 docs/logic-gates.png diff --git a/docs/db-net.png b/docs/db-net.png new file mode 100644 index 0000000000000000000000000000000000000000..2256dba6fce4bcfba1c913ee774ce733700c7651 GIT binary patch literal 28719 zcmeFZXIPV2*DoHB(P3;OYE+Q$IEZu+X#xq@KswSx=pBr}AcPXCy+p{+Ye0HS2qpAt z!3YQlA&GQ{h(JOyKq#S|8|OSTJm)%J{?~Q>?|DBQKXAEo-+S%7*IsMw-zxile%t8Q z;a>!Q0f9h=b#-o7|&yb+mynWxo?VKlPynqMbqvvY!qqn%-qqT-^d8@p;G|Erd@l(yoRW-F02Yg*! zcEWtmM$TC%*R1bnFJypxRm25)&T59`M&nwtq6sJ!Asc@sp^dKRquAkqvyHc)DgutX zR8r0~2$U4ZEHwALZ`m5^Vec44=dCo<1_^u-o*xd^Y-jhr9PW*{w(4zofdA5NhmSIL z{1!sarJ=*0^PkGWc(yBmrjP$%=L|O zGz0&Lo(t9#vI#{A4F`A&4eyx9FJ|~gQs$Kdvrr6QO=krmb9lm^3NS*7YT+@e;KZ(}m|8BVO@~asu$~VGlbgV3A#f z*Ik8%7h;ubCVo*?u8fJ^Vtq9l{mJ-wYke13d8K9Q^JkkZNbjvkaq%vZRlX3qY|hv@ zY()hnb9hUoP-^+?`^dcAbw=6mGUkw2ow%mDwl&8#;Z=+e1Q{wPsU2lyEh#{~JdaL3 z-9bfv;rg*|^Ww>=wQtuJt!4!$Pl-vsb$^ z>*&6_E~x~^`K5B5FZP$|@5?mH{L{5`S9vU&Bn^*d%U*9)vY&OIkw0M)Mm!5ckBzRvk*U85y@v` zX0u42_s}j66!ZZxwP3e}woA-=i$}}R(L;r>^V`jNd{@X|q4xpP>SOe9o0tqxvXHeT zlP`Ed@izh&ad1SM6r0411MLGyw0-PPyltrENhv zBbrgMhmArDM@ zt3>x0IX@Or6!ss7*g!J0sr`dUKVL+~>=S z4`$xTnT@(N{P`zhdBxJ^diN-_(`cm8%$N?gObvVz(OcE9^UeHm=8Y)^-|ip=dAmEX zHn>?g8=LvIQ(DV3w0rnHy-(YU<8H26Gx+YkeO-L?RtZ+}!@_5U`P{=bor?z@PEP9G z^B-(AuBi|Wtg5J{T%^2+UO1B;n7B%8QWx;u)aGNY z(adjbI-LEez6ok3bR)}YEBlA?G@!)H-+lZg{0Zmj?s)>5rX}7!rXc+vHc0Cu{*wnh zvS{~tl#d<%N%^Yl|BVS0;p@{zono&ZQ&6=NsD#?i`{j`5A;=S)UCN;8dsf(6p-mkOXUrq39co10EsU|M;1dRGsULJGg7N*N!g7nN&2Rno)vIY$d3mrw6Ly!4Yh)2Le^ zmBx>3E~g!4ZPC=63F5Q{XM)_WnF1Z^SgZr4k}sTB9Zw2Op!M`~p(F|^FoV`Z8M-eB zym1vXJH^(;Vnfc}P9U0X3Q;_icV{;v__l#oUZ#pi9+f^vtA2(ubhb-}(jKKrNq zxJy3wi6kk#-5*Y9*`4-Wo>#gHgl_%ve9P!>e>Qw}zIn_Hi%UxuK?cw6GJ6u>dKiuI zD^?bRPJ!Ya>q;(WIG+mM%)SVy^3~AhaYn0hM9^?NY}@1RcLj^j#UU&3UKbH81zPsK zu8(mSyAP%;&2;J@)of*ft1Jt;et|^Rzz-e)wCT+CTvN^B&WlxRelhOlW(t*tux}w5 zUh)TTh^7^W&ax_;3I(Nxtv}lK1-Um&e@)1ISa21Pkyq!i-|GgP2P`#PA{gv9eoAky zfu9qYn`CFbrIq%%r=c>H!5PE-tx9P*J0&gJR?EKL-$fC_Yid{r8)!kCax`RIbTqTL z$JlJ09}-znw1Y}-)|?(JKC?CS29R%m*%o!p)hiv&&8#%7=E3=P@LZ=03=B88L1SZK zkb&aBLRE+ed#zLpXCqsXJx;`b9h+iHVh`BN&Jt=&Hbg%hmnpC<^==xQ$ZPkPfh_12 z$9O(+n9DSBpH`0kj=Z7hon*-^Z}-5bs)%sbo|5OlRXm@s90q~@)yM74fO;*RB#dw6 zv>%lv9PM7dVdUmv{ZdhbGVzooFnXXsE!1Z7yD7{&N@;xJ7A_*Cc-Ftz0C_rbGh&$G z07gFI)H*m8{7CIC%#d#I?7&N>PdZabXix3hj!u=r+RlgB zhhXncEVQTUbJGG9vQy*v@N#syG{41zO#~(uwPhuKD&a#?x|P?m9VOMm$~!0N+;raP zL7AjS(|%dLvA^$(PE>vJzuhk_6l&`&FN=tDp_{KB!3Gto4T`{8X8iKWe&9J*pHONI zpn+`@x8frH1;b02-78VbRXs-KUZ<)C`bEDIc_8R?C0D}iK|#YLX*fB*QuxJXJBGO? zC~+-maj7Hs9pZRl9vrpWnJBRJ#k{hm$+^&7(NN*1K+>23zqv-byMX7+lc7xXFC-&H zuOz*KJkvRQnA9d3v%yO1$vJO1mt?eZJQ`_YQgFCpIrXl6LWjC+ z<_(_%+A{N{=egO%2FkjVzOtQwX1G_^gEjw9JZYS4-ZAfn6KUl-71=$snjdLO(RM?H zuJ~b!gC^Z>E*^akyFI)iy!8lwN8e zRXtEz-ZH#8yV63f%oy59xx1;W)!ov^wgJ_xC6;0NZiK$+>jV|S{+$2N=$3CffT){!=T-$ z+f$uzjJ9f_o1O&qq&=pkLhkzAyAx7Tr4@S5(?UZ$G5L8uZM~%{2WOU!GAzmc6m%s$ zt8-Bx*1#;GOIg7TMx~RGeG*MEO5qK6MNg(ZAPkctA9`v>$FP(>5OpReI}8D~!e2H? zbx=>JZ8`R1<<1zAn*|J`!Cq419{m*so5f`jXWa#hsqf_q!EPaG%R({*(A5{Q<|^1E zJT6ATyDp#nfpXa6!M%WJT$=oGudNbV(;X`>+-(1QgCTEpW_#STRH<5Bjzn#eUD0Oo zOt1~+Ffn0SYR23qKi=<-rqWWrZCv)5i&m$|Ig-71dKIM$l5Y7;6}V7MhE;nThRJ6` zj#pu1GtCTzP{q;i$7O&CV@7qVEA({DysO6yg<3rkue2X>a`9HYn_)tc!|{}gh<|xB z=3TanSM1VM=D1X@+{M_zs}>NmdUh0vgg6dbd_dW$&|PLBVQr={yr#Vj|D0Y_VhWA)@dl-Q zAv4CG*H#YJ2RVEv)W5PNN6WNKxuT$EDHL@M(6GDtBL3Xh`J9&gqwq}~%JhSXH7|64 zeR2}PSAOF6hwWuOm4FsHs)k!353pQ=6cZCQ!D8YA^|qSYoLtiOF-e3->CBM#TR>d9 zNoAa0G5Wk-OKNjRU!{sQ+7#kEMGf`01MNKh-spK7uE=6;Mn29l;P)D9wif4cJ1^XN zSvVPNz1h6@6{nqIvE!jN*kxu73GZ2sD6wTli4jkh8M}{Ba)jvu2X_U*c2P(45CU5; z6O;??DAbNr%8B>NmE3AWW7`8X2`1F#ThVPXfhD7<%U;or>x|p0ec_3GOu^)wV+ZZZ zZV0&uGuSeiJeyuEv!9ptBLx4P=7^f=)^{qYDU2q}R+%Y$G933Oz+i6}(qQpNq`}OV zrL;3S?TF46$haa$iDf^zT&_sejS|az;iyFIc4^AHMU_v{RMjcU3RANj9;;>LO8IjKRgRf zy}!k&yzWoam{UX8cbRJPDK)%`{gv9MB&h`RUCN2^Bvlz?XoLJm&<9Ltk~G%Hlyyg%09J$zYt68uMVEEzcMR5DAgHG;+U12 z;sm{++j^5j-=!%5u5%u*yguEjReVD@9y%mpfJzK_0W3$kIoL0=|2E82BbY>yce)U)jz{jQsO-_fOSQ(b6tioiN9oeR9PKP?-!U-6)p`1^o3 z1O5u-7<6JczIzUM8g&MPOS?Z)QA5sz6b5g0PH-ECLZjk$6};^a;4J@SBsBQ0>u`Y3 z?zL?Y!iHT z)~}500F9XUiz7oINbrxYEx?kaQk~VY^xzC%dC|$sF50^QGbsv}#v^l-G}RVE3pM6V ztP%&7*(UQ27{~o#C4usxd`K<&1o9nRlnlHLKT=_)0D33rL^w%Hb0P@S1f20(sJsAWwqShY8JrYw_O0*DfO1C!8v3$M6=xU zZR;1d6qbP5bseg}>Pq|C7QMW&Fqjd0Es<;p5m8AZ>~8m?-BAOFK3o{9yIl*=`53&r zh-tB`U#b5qfPTdRb`Df7^Ka47cm5C2DG&w*0X;EP*ZH^TP-{K+iq2KWZvRWvfM_Q> zB%FShR{fN^I*oYOaG|2i5RW_ooT-O?+NCk%`a^V<>qY=3^`g&CRJfTO1q8SFNB?;I z|5kK<%*}Riz$FuKh3FxGPt*W7M?!%mJfNt_?ok%+E`!=;D<6|zL#EK1?SOkF9y0r9 zg}aF{nv)J-+)3r~y3C1I*u2Xw2d>uO07tE-cKWzn)wF2hujAkR?rUiR0);RVUg3w- z7MxyME7+A4P;-&-NM8d71i{(m`4lIPPAQ1_R{pP~Xmo@ZJTK%NJp+`o_VUR4K?4ms$7Nc*lTtoiV~5(Xij z$ccf5cwU_es|5jlWZxzWfc_%4+b8Kyeg0h%`^RN>`*eNJ=L1M6K3o9r_HkP?=vHmmylJ9K@L$WhlVu;iBnqpMjL`~T*O%ooJqjz2VXX=)$@!J3SHqW! zw6b8<%tESzT=#x(BqP&873fF%Q(qMt3UA8l)giCyk;$@U$Amk)i*4E3Sin-&N(}q^ z%>`Pw=TOE85}~Q>{t-7#XhhABu;Poef4X8?{jl8qhjy6^Fno?u>f18J5Nc;LAs9SG zE^DeHl|25Ul5vXelQk96RC#4=Y(llQNrFW`1>LqiweqU9xRw2xyB}b*_uJ%q!9c{x z5UT)Pv9}c!(4ls?Nux7dVnI_?y;8{BLIgCZxyL{lXYT^*96c)VW#uncmxiOo+7`YC z+xg*-HzH86EnN{yOw45X zJs>}XwlMuF+7p-tlw!>(wi#B=2Jg{;^lJ=j`>lSogJFx!f(Haon$H5k2~YM2XMDAA z(O$Hz6k!leOOS`rYGE3#qpZ?ElFYDm&VrE#oS~v%5Iw(%@i#UP~XEw@JPA?5$=TdyS z28c5ntJTvx)It%&Xc>L&2G%#EX|RFb&s_I9f!HE&&8gJTppuBE3V z7LGY`a+y<_PVBJd?P--LjdW9^sA`d0+h@&dtgJgO01bM_Ab7R$^F&pqw>Zf|Umf)E zbeN>LF>YB7HeWt{Xu!{YiXAGH1xofv6;B6gb~+RKL}az2Ij2hsE1wps<@DI1A{c)0 zz;U-?T-)3`;Tul*&DyGPO$2lEN>I|GFXrZUAm-+x0fsyfPR;JP$^U!vet1WOS} zKTNdf{koB@agCD*5^;%rG}(gAQEFqFU92gpBJl;^z)TUg=N>|QbvY#b42boK-)7Wm zp+gp;0?!x#Q_aTl<0pOfCrg%WFy!84$n>N8aeWKc(5DX8(D_g^+;f31_Q)vI13Nc| zs^Bp-+LGy@h89e$5gpDAvk1CRUX^9eL|7B~;H}37R9GP_*AHIc)&mhv439Um3(GAa z&tokK@r70W=)m@yU5TNRrYn|e9!vuMrN zC4(@jNJlk@Az2UI6`$A$KYw5FWKRO9bp9ab@|-(#QOVq`D~A%TP(ItU)%Y zX8jiV2nNX~_Kx{(;59AbCJT=)=&|weN2b~5yDGB8dF<)VFQ}t{Gc5|{1O%#^@#3r4 z)tiExhdNBYwJ?mx{z>dleE}D@E;ZCik^BF#0h0BS%@T=I$MI>fJccR;86YuZdOdOD zmRMUFHLs>QFV75Xa^X{RhLgO2jj8eq0nR}1x`s6^=*S+93+Y=ynryf_cdh1sv2E>qT*JuZ6c6j?8d1MRei=Zv32 zf6VxU&i{QgV6!~Hw*SK>L0LoIK654<^yxQ1sc(4%Qm;wB#uqE}ZK!(k;!zDHxjj2M zQi{^w!aUVL2e42e*>aBD#>>d*8amT~61r)2Lh=<8~h ztvO=K&C``pCF#d6aPA|_Y|L7-(P?veoLUd_?Bb?HVIXoGnXK5T^PK&PzdW-rhAKX( zAwkZcsWCGf%>W_I8}g<~@4@I?`7)zg*p*$2=gke$CEnmHF0&&9z8HwhB;>JR6dgi= zRcYq7WdR>NOUqjc)1WtyZxn@czDnjEzTH{_J#2@J_t@8L`9n(j=+2O>4nKZozi&V>&wPkoNdK={2H z8UFIXei~aHAFA3XOT&SZTTL#98=+q|k&2C?jE%|bA&E?SO%r7U^h#^Z)F`uOpkyDh zaQ>@N$R|EH@*b&7r_qw8h|}Xo+IuLO@P-9Q$;De(4>R0_T3ZUo`PL-CSZkkc3-LD1 znrSF<{bNM^^CtpdS`n*8e>jj*CNjEMd{?pC+2}uC*6QuIbbs|TqUI`k$5x>#Nu0`fqniObQxN+=78}2;r6p4@dF^9Av zd(*|zUdx5yevP-2kH-%DWz6P1aNe6#Yfp5X8n0M8TJwNml-N$nl`iM4-fv(WG0=O! z?dMA1B;v?k^mygE3c?r`k+iKv-%k1`L>&JD9o6S&Zi8`=I8fvj;np!{k6Bf42XRc! z@Uawqv&6+Jhse3c%n)(JxdvS;L|F0SCC$?83CDb*6|wNJBWY;Ds`$>Q>pQz3_+!$7 zWh;MqT)l(M-Ke~o*P`I$Ei=tm=#X#NLunvnf_0?+hP}iYp$eV;fC-E6c0iTC(hDD% zgwH7$w+e5m`Deu_P05bb$YN z4b|Uk+F9203DrAC4{s$&(l@1eEFHq5+YM@uVOYmXGnMl{0;d3yz*(PZxdnfD&)3Co z@H$ofGBy41GMb0<(By-CThQQ(%D+cN4HGLSJ!-`db49}G!d6V&^w?*<9FA60Jp768@y#d7*Xn5dm=vWAS&V;0t1i zF6m~UAL27O^KtH>OyGmrLQ#9L+QVjC`_CRQi#i8Ay<4&chNTptgoxXoX)AFO>yYYs zkzbAvew>&MA>NG8CGm6?wOdaP))aWA{N(|qrNrf$U`%=oyzg|;$jka2BbH#IhwF&! z7Dd+{XB(LpZ7h?VSa2QtIc`H+tUedq+bohcsB}lZ1bRkIK4;ZIylcU7R9Wc1*7N(f z!+9xINw$nq%HlY$YyWUeJ12Wppb=K5jA98e$n8@`50l}Wt<5*W_n~tDH&b4y)n>IS zcyx&+R1g)Xw>7s)Qz3msLbu)6wmY_?%2e87aF}0MBxZ_JkaOr^YBXRq?u1DuYf=(H z3rxSK(F;0-2l>B$-F10VqQ_+co7h;WSyno!PdXe5c>42o3YRqOO?+HrA4h z+Ee>Bf|~{yzhmpQaQ(l4bF+vm!TIF3@5jRm4}?M+E|RWL)R+}_)a=ED$Gcrrus3AY zx@PAgp>SxHXn(7fv`;c%w-3v1_t?p1zI_eG7FXIY3kFs6AV(rLy8|7tDmI%tdBt{U zLb?rftP^)9s6U*wdL2t#wK5}Co`gZB*a%GPdeKD9?0qn{aFx{#IRH190{pu1_6gsY zh_IUJU6*o~t!}(c_sJL;ZVawdFVP!n@6<#RmwODRhNcQKAkP+l&x4uCX)oR+e z2x}Ty5K(xFW7k`|CdAyS6^>lOZE=doTyUhX1E!(3Tt_0=^&rM%eDmxrS$oR+nQ`RT z7tbLMlj|s^Dhtk`u4+=8ODc`7j*C)@yV+MhOsHy%s0dE8`I zzqbl{Bw;(eCVJuLR?lYo`dK%V9gUf_;+eI&WrudL8D+zGE`}T_TOd9&-ms-6lyzk# z9wcot5T3Y9BeHFUcHUm?SPbg-Mn^{)>})?msr3itRh~ursPa=g?i&cRG@;ub?7Gwl z$D*>#Nvk*%Oc5MmSI@1IP?6TqcyJk4XbS9$>U8 zPfHsRsM5^8ohm>W@qM;U(707wJkOaKZ>?a9N4jN_y&*dl)BC7FUcz%-FVq0HoC?#3 z@1!PwZDq@1Q5dvd1J(HJR8DK`#{0*>mS-wj4h}C7$KgvwK+oAh3{0W^`va?3t^ zab3B^*nXO=kEQg_t=G?}N_b@wmLWgVCB#uA+u(m_DZ@gUExXk^;HukHN!38f&UVh-%lzd67SX@4s_}Dds=56I z0yp-Rh;ZX6w+)-kpG~IHsAjKJDs`?Te)MQCM4jlp*oh?tLvj3cow;6_F}ir+Ff|tW z$ZDZ9;)APR6iSmy_b9JzKbm$K@Ip=@My#;+eSUx+Mv%04+b_}6C5J6VawAJ;3AmD= z6}x)-%v1&Xgli>NUW}L%VdY)NRlx;=t2ugY0Xrj_9K9$_SKNwb)<`&BE2|{FWbhn# zH9Qx^EMDl|%F!+c(kCo=2VXyDtLHQF#kM1nD3t6$8D4ZsL!Z5LrF!fSa| z5F3eD{dx6n_UiGgnD6!o45AI>C&-`QH zc{ia`3tOr%H|Q$hh*}oglDJ*3X4K*FEOc)Fx)Y{qVSUyY2kKgdMcAH2=B-(QaZahE z$li$%OvHz2KSeb=%F#2U1zwf_LL#Hb@-slJb(V%+94D<$=m*$Z8|?(Pi#(JM7Pm*` zn2FmdU0-_)B=eyd@~7vHeb0L%Z5AYZ^;}Uo$|9@?pt>u(dWR`}hq+@O#0qH2(rV3{ zvg`~Wru4IQ)OvJX3tUZmO>#%{FTdo2Z+XtCVRxisP|on&W)91wzijZXVEBSKPfx49 zqI6l!r{DghlGtJRhLBhP3iX$Y1d^LJAKwFkETxtNKm<4IN}$FRY8p7?hMES=`6lU* zSX+ZP**vI{|9f1VQgqxMSN}|M2UvLiar<1nZq(A?hygOuA~QZxEL$z25!L!$f#QwT zMTLsB2@YCJr4*{O@a36Hs$k(N&uF+RjOmFX4@wCqliuqAo)}q`r>s|Mif^rPrgd`T zp${6nizhaHCi$+cCgx}S4Ew;~pBZ1zyQjOA;X~m!=rec0Nz7?&l@{DUnpXlboo^Q8 zgM`MT>Kda38m)Pc*gRnIW(T*5LqK?A%u>6btxoaN)qm7^yubO7C{J0kO9xga&fX-e z2rV)_GGe9)Kp)0*U1r?Hv=+kfazy8wfDGep4}?Bp(LOZf<9_rU2=PeHtu_NR^;L-y z07;xOvZG)Fn({t)yaYl-(tV|KZWS#Onl%Nwk?qbU-zzV)sfKhf&L^nyT%`YIe1Zwe z2k@l=ODZ(8ounl8mU}IyiYqlfphl@v(O)%rfM;YVCVxYWBt>5ND*34z5R+Sd?ZA3N za?-~{{%z7|&+Zs{*ZNR&M@Bq6XY{;(!VGKRVw8q;wmjw1qVpQkj@XK~)f25vJ#U&P zkR*={#ASsIQ^C1i+#npNRSaOYhUL~`9I*Z#@%?(5w#pcgIYs`>a^$hiIlwY zG#^SscG}pf(LhHv8sp9{c0iZ{jpLg5SGT8zL`%KeqafN_cMjqyEy(?G+qn3~xRudQ z-UlfaLks$+#?{6`z*|wY5*mN`O4=v3#!Rp-sUnwaJvW~H&diMD=71r85I4Ei?{}R4 z`&-QAJ_FJsY}daLokplxP#T!f>%+#p_%n`b7bAmQLoAbwT)W-`81O`n(7Ix z4cP2xSGwIFx)1Q3e^}Q$Sx9EqqM&2dN`1@7sZeG$YcwzjZOTc?5^Jf%U)vO%XXKqvCP;2=tn-dPymOi>F*2$Ok0F6 z!}y}dk}Twg__^f<&ceNM0MFA{G(V!@d5#9FCM+(@Ne$RXW1{d6LrDXw8)IBz+kc)F z^%uiLCo96%Ptj)h7CrsyFX&MoP}fVty!e05e6cx_V<6m26D)4B6;c9*^cWzPe|Eh| zl%}wn+nx0S$Lh@}%_xU0$3AS_-DLAJFE_!_?lE5+ow%w@IWto#8~3eA^|>c3iKZS| zB>~7>64bCPD>iEI31F4p|F8yd@2a6W8REWhf0KgvSIh$eyh@ak(3BB4OH6S;;_z0!})U95;Ngq?$W|lyP_WB86ySGz{I)FYlJM>mp#^wu|qc7e1=M zGp3ptPMbhIXWC_TCX4a(q=!w$|D2O&6<)eR{^O*~SUS-fTEm@JZ+S*VP(p2J(6=%*9W4`Xk#8~C# zO4%TIq0W6kO8r5>{o)%|h4^D%eQh#KdULzp8boOkZ)pBvUPdo6vh2M<%r>x9sjmBY zpE4;1uA%>XR$H*W5CWXsQWY z3OpayED|-B<1)tuuHu2Pf|F>V4IgfhZ8kgXe{% zQ}HwF(+2YgWC||LC3K>!c}B&FRzuxMEq}(VT^TJL^VI7#ndCIMi&aU{k239B|_;qDcZ0kv#7ZbBMJqm2Q)exST0rqS-fb;F-~p0bI%0!>y9b9a&Bg*oT4V ztLX45;s1F&n+_8LEuWVg#YtVW7|%8tu~+1ltk@|$B5hlSd(Iz64#5yx7+MX)X_RG} zxIE*lnIlDi4wtp*AOBQfBv(7XZJZDw-Dja0{tT5Q?}TpSViRHQ4aS)mcc&Tla^?(Q!vLu$ld?Ok7fJ`o}^oA-+#E2~T#gau| zRCeV2dyk^B0rb!dkseSv3g&m;k~CM{w+z45LaVYU z&o6&@p)o&Fljc&YzHrRErkQLHQ4bkuu9LMPt6{}Uav6Aa}2#`BY6 zG%4cF3L4_y-@4#r;xW1G+x%oFBm>vUQCkl4;jAs=R-bJ!L%h>tHnjeh*&BXIT7_{p zL|<3>t3|vZAEmS^-79fj>44Bru9`^P4`bt2XV)s*Nz7SK?63@N{2SSPbC{v4)oi~# z&wgEEz+XDQvzTL$+k^IT&?Ac@2KoYKSMwsL)(W+pH@^gIg0V*}P+-K4xd>3>Ap$6j zqeQ~#OsBqzyHkEd^N193BrM_!TLUYOINvVFv3P^_;?`;#CtkhtO9gY>D#$2dQ;NUm zV!2Lv%4agoMQAza-5wh7op#iwl z+XKIu3`{<`S6PHyV6KD_M#Cv=$jlYWvx-h7RETa&ZLpCbm5OlQf*G2%e0Dasid+?+ zxuX7IqT&{XePL#8uKs~mf2rgs2lZfb6-?hhf9h`wcBuV6825tq&K_&8P^O^_we^6IO$vK|1c>coarRd-&tKl6#` zX)L%G(%L?KujLR$0jOp0_lrLL+S0l{Hfb8&hN^5*{M(dXI#GzYdp`eg@nynei^`I& z(}|>{6+kB~CO6;#2Db_rO)D$MG01oB<_MMz1>piKn6Eky)OJU^$Y|q~(xg3t!-gjW z-w&mfE{kHbPLh4AjRbJQah(Z2Cub&gcDaUl?NQQ;RXrCw216iL=59G&Z-U^nXK`M1 z55tp|Gs(1>vbj@D3kCT|ZpiN@Xrk4K8qNQq4J92I*Zcurm7Mp4be!Ohl@a zBw8JqaS`Vw|5JngPU%gXNICJLtyllpn@>HRf;=?0mn(X1D(H;nI&CsTmMP_BF%c5e z-qVxD#m7jBzY4iET|Wb-Z&51>)RRf^BmpZJt^ck&`*aDBPaUZJNc@lt!F5(6Q3b{Q zQWQ^8K?H`T5ED{5e|u<;#q%#F zQ&E4O04~^AVo$P!+$H`#wNJlDgl_-I?f`CW{2oniNBwz7`ychKh}J5+7aV@$tukq? zkxW(j=(vY>2do36dO26f3}3Kl74f39m>yz$imi^>uw7uE!$x=Mb=X6agEuJ*A{ZM^ zoCqYS(_D(|YwF2Afl&)HenD6aG;`7~g=_(dtUXPz*BliOjc@mFB$DYe+uxS@z14%m z#u!Jzxua=|TWbL}HJR<>LvI;}!9+F~i$y?_BmRaPZMVbPa?IA_$Ta_*D$q3kV#0tS8>=U{T zcZ*N5$vlt+&Ki*%WQv5asO)dzAP`47>I(xvnx!OUi{ZmPS?$TgXi^+p>OM9H_tKC&b;2279blon})RN&MVV z8G%WW6K)4(AWQfhg9N_P&HEN1a{p}2C9wxV!C}oUufsn&bMJXQWWtRqrxTQQ$wPzd z4m3L}O5QCPZ3X`Nw?ARMF5(z3dR94Gx1`8GcTU@4-3J_LMyb(CHtVm5qsGM~o|ZmV zhI5K7nrdAa!?=dv+Lhj9g0Y0+KK*}C;J#3j*3(Mg@P`{O+tI@YxD*K*v7wCLc1CpR&Wz2hJqxhK8X==AX&Wo| z8no_Z9RHFoBQQS%gzGLA>Ki}$8)58U(Zd{ZtK#m*d|g^xUXYcIvo*BV7-URBjB7t% zL-6BiA3F=c*wvl@=rOU8lEOX@f`X+fflMD@8Km15$HdJK3Ca3&nZ44S^t&9@jsMv(POuEsfGcabaEdw%X~e3NsdPwe?+vGBAv zcuu*$X=Dd^w_|3Ss%@uKQp$Oo?;^{D$qOS9i@xeA!%|?gKa`}>Wy|Y& zr(Rs{$R)2gw6CMzG;8}3Icvqy<5%^G#-g;e?F^N#=%?*2({Z=NqK!&7zm$ai_Ky(# z>aCq`a@)?#D!2Fm;`|#2qsd9nSsPiPcE>v+p?%pytYYYc-sDl1xm}YDDe!liAcG+b zkrPkW%Sg0EF4yOoIKgOdDHXJBX1{?|XcO6a9|5=pc2oKqo$)Nrchp$Oi5kFvVYHw% ze=4WJ!O)E;$qc7BtC8ZuVBv_SHNP5Io-(un!t|MY2j}-_(J6!= zD9xuYZ9n0iC8}&CxS~Bje)+W9VtqsVk**A@N9Ma7#n$^;}xWd4%F`crtZA9B>|4ARsTi z)X#PBo~6qDV>uhR{aQ+fer0mU6_1IZ!^y{Hj!FL+*qzhNX{}dDZ%(a<( z_IvY%28X{{TRzg6Zt5k9FYsd4Zqr7%Pu#BlZ8o|HO_J2gn0H3+i@|1%N)51oEH&Im z*u4VCI|Mhkzqfk(PnZAag8kp|Ne|wg_Dk0yXWSr59RPveUIQ*{U)9g}!j{JLtk=!} zcQ6kf-Mz0bo832NBctZAmE7k50zJX-od!jLLz2mn&@sDlpj>^w_HIXv=fLW>W#ENN zw&&Xb@A#uK3aC#%{R{Ak0MAs-!8KeI|AUn9>_Fg!useX?Eqnd#A)u}q@VqyE0sQg* zZVjkEepa68H(nA}0_%54Zzw-11c&Z~T27`!kalAPLsmfKK=50t%MDB~YYo62fxFnl zNo1uecpFRbo&GZdB2s*?@AS}a$YD+z08WROKK3Q?t>GZI1|El}81RN=k_}Pk1aGMC z1`)!40zwN;nW{r^AUSEE&=^Rz1Hp$DULYiK>8QIFP@x>S6r2c@eqAB@+mRXF5Qo(@ z`-Zu5Gd2APplUm;1Gu+*DkS5Jyy?IUP!Km>;_J{mvA|qUtTCLl0lQ(B)>7L2o7)(d zuojr%eEQGj1v0I@jA4kwN^lD~28<~p(YrzD%F|k;-?8Co&<3AXT8h76|Qkl zlZB_ieTuLFMj&<}7@x${0qSI*FFODrBbHCvtGRnZX@)(Y#hm0@101~^dYZ!&3cT>p zAORHln&AKuS-CRAK!UMBmJPyPKn3>SVg^mg0PWC$OPDq8+yyI`4=4C{wImB@%MAMz zHZ-qNR2Jg0YAe|{UD^p$rUUasA1TRoRWN(AhBa@oFe!7j%`IBIgrWZ)(_R!VA7<9X3OilD{8d?UZGN9d` zS%b~Mb7|GS*5{k8Q$d<-6A^9?GH_1KK+e+UqNJqNy3mVCAZUNW3%27MJW?ppYQy%G zQQs?xj=;AY94e>yi#PQ!oF+F3Ynpf3`}7&XR=o$+HI|h8YGq~Yt8b4gfGS5tl&WzM zZMtfH$rGCu5_W;AI^fK#pdG-_BueeKY)_^=Aq>-WP+fd$Gcz^K6u+5YSvU~AqlI>~ zG%Uhow+d%fi*us2QfEl%x?K$1WpEny6A)DRpDF=N1pgJEaQsGeW~ThLugAW~$_Tho zt@?vv+tofpmC%(yVU-D$qUdUv+tTjr3eRm56t;X5oDF;x!+;g0WY`c9kk;j>#nMN^gxvR$j(?cQx@jS(k4^t(0BFv@e z?@je{Z<@2=z#-($5LEV;K^tOvv^S55*^ z%qJn2c5Aubnbmp$sRtP>+`xl2WN-JIgoDGXDdwFyB}m=MHjXETWw`L(r-RUDzHU9lp@$z@)C|A=aw_F zS_N!V4S4amQclXyIRq=2UUMb;RUU$F3#kaUYe*`mUH0{#YA(ln9suH}|K0^_Q(hUp z2dLP{E~&x4pdPs zJlMJeC`If0fY-i{60z%rv!aa+$o{6dj`MA~V4~fmV0RLZP-Uq`K1>VUk_YN<#emN& zcsc+PVb7HGLR6_BPy@}Tcgl{oJHJB>{B{gyq({01gE;9s9LIk}k2YLV9sG^op}8g7 zm^&;AVVO@NHq`IP^WqOTU%IkKlN9!6zq1nx4sVd^MMlXHJNu0GY`^;V7N;I7BZ;uELvlzml*|6!`GWE4S@$720;d<*UB{Mb{?PrMux*0EN8VMI1@%RpcSm zIRH|e{sBt-65^W&vB1$V(}_BKUAp?P~295K!Qw3l=XIdCs&7tj6MGcBO9V}4I_$r@X@R{#oOD|@Hq56d*!Gg8*~&!u}uVt+2&)6`(HXZP?!wTq#; zcO)n5)?QX0!iN0))NzO~3j{unaSoe#{)AnE#gzD_>@N&Gd;9OP3r1JK!u{F1FZg4o zes>Ljs~Fr$KKM7mHj?`1oEt+GEl$6{fa2O&%kfKxjX1$3e={N_5V3@QN*;v*mp0?b z6zIIYrPN55OAyv01WIaTfdl9;%|uC`+Pbfwf}mvsxcEfq7}L+Dq>#@pa@9^*Beuo3!Okpc zJem2Gyd7-fd)a6)*z2FASR#V~2xf`Zmo2!4G?Nh{GV|<5i_ud$6#@p{N!2x4*YUA~ zks)CfMTLD%qpJsiE11we20yrCIU0hI*^bf9K-HfU8%4kL512YHKIB^&923M2&TnV5 zlou76cqU4QX!N-p$B?%Sq{i`P)xHZWSN1Hl)P!}uwDiQJP5vU_Ul-hn{OGa`)KCBg zR<1)G*8iiL?~H14YZ?{HQ55h9uQVy55kw#ms`MiWCe#CnN+7gIlO|1iz=B8(hTcU2 z2na}%4i-pW2sJ<=(!>Y>LXm_JAe0-=``!0st$Y66KliScA9>a@d+(V&dry02hGG55 z4o?qKK`~P*?C7_3eLtzFiHiRUrMie^{tLU_@P?WE+GHlHZ`~oCp&!?P^8O#6Bie&5 zoG=Kc_!%?NRH?i3!f~RtU}siBub5{Jm8@yKV$6TJHRp8x^r&+ytt`GyR;n^|dhM2+ zVM$|W2>SGX{;WZxW+W?HkgW1yVuF9@hE=(gF@zqt_JaG!2WmV^2q{$Q%x#z>$1A8L zIgN5|{05Z&a$}VF{Ap9S1B+e8liTJ#)ay0Z`AwhR=?JxM$#Z=9^T9FT2x*~fLi3U2Tcd1h`cDAg>ErzwmP}axvVb?pj z@7{#$T~-bD^VnZldsBS|pfqUTmxGC?7>a?Jlq6_65bg z#(%bIQSIn!kht4Yey4PaV3bHkla9%)Y39fPj4;**?G^0~*s%7$MTN-)*!o@3k@`w% z*nR7`I@Hu|o!(b&C>`OD=Am@0iayRWa)lLy!49wWXNxg1`H@AiGNmd$!tV4*0T)*3 z6h^>?tOzcHn&cCJBPA@`o5o=s+SRZ_xWINTZ5&6=r4xUiPim-$@Uhrhx?M`y?IeDO zb{@Lv3rM|ADyja(!FiRMrk`wdm5jrd}q>c-(qDKv8vA2 z7lkn@+6xZed-Nw#q^k)4R+Atu0hT&({JP>%dn{megFjP~721e13{;WZKAKQI(u$~g zbdRv;w3bv1_2rkUUGa!SdAW zjckMMzik|_3*Zl=O}58uvLCyCX7yH@V|yE#jJ5f%JU${v^Fkuo^@5HVd5jG$d$B@x zHQ^SLXUm3Gc*tH^$e-dbnw?CCOA8i^Bbg^>jv z>pO)iD>#ZC1f{IZ=LkVb_7}t3Yk+A0h`tg>2EgN!mLlflGTZCV@Q62TuUF2IE(a9> zAi_DE?*I@!SB9W?<(VrG{IE&%6-bUk8>YFA9h#R^(fTI}z&&vM9tzD_Zg=vGjt0~_=Lwz-@Q zvA3e6TkMDp2sVwe5v}69hh~QsBe}6dHwt#WWh1(>ySb4KdP)xC%g&v65UXP0Zz}J+ z*ub(=X_u%=WLvrfzE{FFnXC}Wmwo9t!9&*4Nn;uyopYp=u%08C-OX=+BA@nB?3r=& z(~$bXzqt5uKWb^WKWeah7A~t)@*Hgu8UZFx>(Jx-s1o_PHI;X{=Av06&ixwk)#Y13fS}NzT|Y3a2w8p?EF9O?y{!+9Tg2*h zrN02C-r}b}v;mXd)^tMs!SJo7c)y@UU4}S_$7}h18+QA~B5}thaaC`3gpzNd4JrPp z&S?8~Si?HRX;%8X{_Un6dU&vx@GfLYNFvC0<|;-_?*S-hwnn&9fRy9B;|)THlQ4p@ zv71wL_}(Q5&UDPcUN0AF*>D=n0R9j|e|L z^ZS`fs&)>wIA`8kU${8x;I*(sM3;1NxXTg_)H$J5AV8vk5d4+`%e?dL7@&0vdV5*Gi<2uhe~vaT%Q;J?9UCh9l8MFd(L-zIz#G&2F)NnhYxpEaFjB-IDF-ADseqF^dle8|- zh)eW2L43UX>7vJ;7U&9VrVD{F_vPdb=Wzd@^RmNlg-sKc8ec5qyVb-CB(4 z)dSQM15~4g2LRl2WyChB!mfC9SJ6w*u;~fqk4UE!Wkf+1s-34l$y;B8K=-x)`}>|+ zB7j?NVa(xnEpH5sUPOuF1!wUF5<#AWjMIova1AKRBI#MSyL1#QC1J!PQb?7n*!E-4 zt4;;5u&%iY#Qx+0#!n*Ya37MW5>M5#T`3w+Bt5l3SXBRxN8h>oFPspcV`Sw$or`F4 z20Xfj_|rGX-wmCwStb9Owe2#^JYxdCK}h5{>0Zi*sb*zNBWN&bgC^)3w~?Nbe5h{F zfmL>4s^TchI5)Y9m%~-rz;Q3N;#`%co3E|2?vR>d)3l;4p=~eAP1jVM^ZZBj&Vjbh zl;da{ARR$conTvf`fE|RY+^06zMpGEc9uon4>8jn9&7a`-PiOiG$S3v-~B}wQ)?ia zWKY4pa}u0BU44uma|6E}>TE>SxH!;B$aMOw(0bnPGCp)f;yRwyEe$5vw}*M;XJRo^uJbPxn26-t!?YL4Mo{t12b1o0mj z2(GW8yL?gj`-HScINJ-5=s|NLE!Qy29v} zt3j!}hwaxllfQyCGwc-CVP7QVPcQlUu7>q=)!qjWwV~}nAGUtodMEnn#=sqoi%CWl+|R4< zj&VI-CVg@~`2Cm7nWCniud7tW!ALtJtxoF7R;vXzw=mD1372Xhni{o}vl@_l9a`%a zMZx2}s~Q349YS0es~Wr(BNsjP>oU~}XB*ubD2HVy*5Q5DH}E$Xsc{}h_X^$oc)v+K zyG=a4JxlrTZan9FsB04Kt83rBzMX6?x~`$IYMgy!Hv0)fb-v=F$ECoX?tadnyr4(P ze&9r=c{ykt2G_cV4r>6S5>4H5Q)i9(**1C#j^wfR}=>Kvss#g*IaM4$0QWZ^JyFPd&A64CCiQ`aiK7^&Q~yUtUOQ0Z2P56M3B#72mR+Tb2q?h zXUIO|33fKzX%Y75=3)m!x`@$6`#O2?0AaBhxi+>571!3;JlI@*lrQ3-rM(H%e%rO4 zkb7jbW6RqwYDNJ0alLFp{QHG7qm*{$;$~i0WU@o2R^uzPU@c#Hj?OjpB1Y+Fd~FMT zYHL?SM1Sikv6+hA+L((RcG-3iC>wgpz<>@v+N^qye{>6>`gn*hmF72nCNsL+nka|6 z=gS9mfkwEMGq{N7S_j|!mb4?8JFDb{S320lp`w-L{`d0NFRtP)@IaV`>QQQAOv(wX zrq7;rLn4`HvCnqS);#FqpLA?vC07aU!?!aZ*an<$Z<4-y0>W2>lal28Np`jq#ryr+ z&t*}{Zej$45GW-u?ZI)kJyKIJ{F(Fvc}#tuk<-JY5nhS9&&r2N%<|h`4o?f05-!hN zD3z@0dg14kh_t5rB-h^Pf}ZJ>qKnz4&rYTJ-cGCHCy9gXhh^nON#6wzxvU&$rV>|H zCtd-EPhz&ct<3hcG4;9FGr1b-90z~8NBPX2+6VO{o&yp$Y@XiV_Z-*QI<%I!G6w7M zO9{mOBz?Qck~GDMH#mQWGGk{><4js+=!4Yvr%CK#z5ZP#WJOl9dZ8**tzs(XK8FrU8&AtRJhf589@m$_Iwe=F7Lg6xs zR-cJbou_5kUW?S3--1-DXSirPr=Qnbk1|^!hL7`Es>hLG2}8kgp+$_hvF6jRq7jnx zEeMZztHt6pb8U6EjFmUO(`!8Hzos*AeR_ONBSC+bIl%Lz(Fe`lI zS23%?A@XP1Z$Xa_`lUVW9@-qP;mW$EsVX~~I*&4kC%sAKK|8r}x@9f#3-l|dS-`?9 zfI<7AjNXG2fKV+-^s~ijgO2^2FaV08;?njk?e_!8O(~n#bZUlR7gzcDOnwM&T~qAl z9w|5M4d1tY{ff_&nKtQg_ryX>vktnOH#epsO8l&J_OTj28}N|s8|h=5KWFvAqHJTv zjF^d~V!hNr@ImN|XM!R$ix#t2ZlGRs%f_clr_07(5FV4V#e9?Up7FetXZd&*IaN7I z63q{XKKGb7u(Cp~N=SX!x#ul{r{s;Kb(EH?!Or}g)Z3LHJswajoG3BvxTWj@>t<#K zV)xWBEk*gKnmW0VimYZEa;BHInyZ+-xbvVmsJ3J-!$D^A;E~g{;`GFB4@Q!eB3MZ7 z6*B6NFhsTj>PYGl6#8XEKJClxL8@giXNT$9`7m)^=}iQ}%qT6xL1S~FCI^+@4nwuj z*Iz=TrHe~^iAnfpCM#!L#%5h_gdJ!ijZ#%dJ~fYPcoe$k97(;8SL~xf5MLyjJB?&? z7@%3?jD0LaKjE@my?Hn|>|iu_-Iun4Mb|xTGOj9Vc%e9V9wOLl?UVGD&+$E^Qic9z zh!&D``H{Q$EY>S~3&|g{mGmkmozyv}&7}Ju?N@aO|5Ibe0dZ&1`@QS6p>^LsO^8R^ zn>iJ*TP4gAf62l{h%otVrfStcW)vIj=FBI2F|$-(*Z%EA&!tIM*Uo-imF{U zr3RVzQNZDnld*w&_7k#&W3svkmRW>ewUxMnX~D5-`RWf!hs^_(piUE#Rdp9@CC_!O zzZT}ijp5{K9SgIM#~-iVq^I!GC-r5v2YRS}65feS)8&~`&`9MDB2`5abR z>NN|~k zxRa;4=Z6Xj2=6C17lFq8S{#VEnN@OX z%FBp46E*m9hga8@D)FG(F3*bY8KXDqf z*6F1}-G9e(m+-12Y3f@LgBbcbZ;B@T1y-%3a|Q(-xLs|@V6 zBN$cz`LP7-r_hcaosRvO*c$f zYwwAr9Z7v*g+U$};`ZS3Q-9Q4d0q0k6PGyGwByy2G+@K8+uV0N3)s|ta9QS!+T%T6r+GI3HCF3G7-$k3>4C^Y_A%n|oU%-8Iw)}n8k zc8&TxtrdkYgaQVe_I*9j@h7h+-aN&oLASK{E)g7{q|{EWi1Q|^9_s=Iankjv|ftpeoQ96(^hBWkl*G-JAM z|101_U{y7)kooThZm7LY>51wYq@w$Di5LuN1C%o9yJ4w2$|?zbe*3p+SE05((lPO@ zRY($6reibO1+k(bT#E%15Z6njMbN@cx@I@81#dAp7!~KTS26`EQ-%#X zYVyQx?PSxxUTd+k>IGQ)PSZECkw09d_G^#&&tQjCVbf&^*?NPKe`?dcgH?t+W4`HQ?pbOHCT~V-1084-1FG2X080J8Q|n zeWYvnzTF^Qb;~(2O6@}sn3liM7kB$iX42%lR@dF6h&A`0Nz^aL*mDU*qHUa2}F%L*bDMWUDX6?$lKdYh?sJpzn@!d z7EQcY4pR%(t>$xdtpifVITfOeWtG<2XIzDpAkj;M<^l`5E!}eiS4KLFr>LBK;5On==p zEZ3z#f7;*By}NvX7zQPzPl zRw0p>{Rp9`s+a+)C?uNUo+0Eg;58MyaN1yJK%((mpmiq8yL`9Yt;TXN#avhyp?+5p zat`7RLq1Em(@|+=hHKbUWcozr3Q9VB*Zu*l>VC(mF#XJ9exUa@ER*wPhzS)-%kpS` zt1sZ)T05xBv7ntcADBAd{DYCg2Z4rDyhS>!pjael1E7BPDYPq~iKJE9XcjHRhoio_ znZhtu>}$T)3bm>cBO0eP)UO@pWGq_%J^)@Mey*mhHF{LEHFG``q}w!vGu$`{I^qeitsIJ}U|h^a@WuRzlrr zU9l|Sd&`VbKA@yJEq7Z5UMSVva51pa=H!QaP7ti(6;ax*o~3!m1@6Xf3eR_VdZb^G zF0mIwCOEP9>gt+1=Cbu85!4ywO<1)`OTDP{J_D`Z6i5=2xKf%%&RAic^z;lD$0-}qWG*$vbmBYUL#QmH$Uuk^#fwJ@2q8m}{Tb8NB2tk0O1eu(nuYn3bZmj5@k8L{ z#}W5Ouc*!5iTx4J-(RT8XMGMJ49FfUPVfMVt8y%4fMu1o8cmufZuQZ+joucgX8=d% zwL=3G)klwKZF~y#y2=Nhhoe$0pomcO#4|wK#~vFl?>%`N?F=*hTAyb&c{)!{-HC7Q ze`aEne}wk*7$w`g)#O_UcXBv_d(9I^TdtijDKJp~c;6{4=@RQ^bmFQ9BJ8Jl;jPcnlM~SP4XquVs@(3qPLCrMJr;M4DOs^6a_wzlt$G z)xIjp6zBaS(CR}AO?{~JTNcFgx5lYpgI`zS&0kuUWqb?y3#s)YhQAt8Q?TDMni#$H z|4MzMaFCXrB{XXE+Bo4N{9eE`>vTNfcj*%(h7G^>n7t=iKENq<GyuVIN0x<`$cj+ zo1DR?$C4u-!&ps_xOqJ!?|)bMqSk6?6}vXDqiP87jNm^Dl^^iW!=6)mpW9jtj`mnu zpp};7qW3sxR^JP-5P6@YCJLc~5UI%$nd{R;2x4bso-uHiZ{-;F39$rNHN}z)Ke{fg zo#p?O}IXBIA&oXc7u3`K9*xnE~hwZyQ_7z{^2?hl>aUmJ;iHrAsS zY^`$zy*l1p!n+E2;4h`+a(xJFFVZn-KmGLQ@U)StKCnF3Apu#vAF^16)V927ij zYOKjTh#oGyC~IEOL;gV9^2snx)CSrveWW}TQ8#O0?qDR6(o0ViW_araV1$Eh{$}3b zWLG5fLMs6k0V1TMzkPvyRXWKR7^~x2Hl|@>?6@X2&|!lEzLozfwK?N=pSc5we2T#; zj)F*`l-@VZ10x$}P2)rv<0U7WO`QExZok|f4%+R8jaKC}cWnfwTFk$)Rje^SBiF0I zAeI=@Uitj{INwzeA^V5U`p~PmTKDWyTh(6a$@{Z?0Ms|J_V!0Gv)9JPS86^Yxu*0p znH-rx+aurKMp}xZ5XsU(Uv%GRujiY*#`$YwvR(Qp-OW5}hnkB4bK7|B0tSYxZy5oj zA*hkb**3W@m=~Et^Y^R}E_6oE*^_`Nz=w8U*T(9$Ng4w)EBTQ*Q0Oor^Vm^O4g(lH zpHJ9pP0;+P9kpXo1|+XPhugF4s{h7R%OMY)!F-nEJUmOjX|~!Pf$cp1N8nHkq{2y! zd}7XBUa9zqWq)Z*7qKD+IWYT^{}6f1Ic_3s*tEV^XpnqCKT6dnDfu6RnUb9Fn8JVI zLtNK%?U4Bd_Ylz(SBL*^LaBcR+yAc+W>lt_nXw|o7wk>~242r+oQ^uZ8Ze-c$kWpv nI!Cw&K>_~X`UOJ|&ze^nnn;yAFl8leAAuN{-K^GgeDc2lR4zQ+ literal 0 HcmV?d00001 diff --git a/docs/db.tex b/docs/db.tex index 2aaf788..64da3ee 100644 --- a/docs/db.tex +++ b/docs/db.tex @@ -11,14 +11,13 @@ \usepackage{graphicx} \usepackage{comment} -\title{$\partial\mathbb{B}$ nets: learning boolean functions with\\backpropagation} +\title{$\partial\mathbb{B}$ nets learn boolean functions by\\backpropagation} % Authors must not appear in the submitted version. They should be hidden % as long as the \iclrfinalcopy macro remains commented out below. % Non-anonymous submissions will be rejected without review. -\author{Ian Wright \thanks{GitHub, Z80coder@github.com} -} +\author{Ian Wright} % The \author macro works with any number of authors. There are two commands % used to separate the names and addresses of multiple authors: \And and \AND. @@ -45,11 +44,19 @@ \begin{abstract} $\partial\mathbb{B}$ nets are differentiable neural networks that learn discrete boolean functions by backpropagation. - $\partial\mathbb{B}$ nets, once trained, `harden' to boolean functions with identical semantics and therefore, unlike existing approaches to neural network binarization, retain their accuracy. Experiments demonstrate that $\partial\mathbb{B}$ nets achieve competitive performance on standard machine learning problems yet are significantly more compact (due to 1-bit weights) and interpretable (due to the logical nature of the learnt function). + $\partial\mathbb{B}$ nets, once trained, `harden' to boolean functions with identical semantics. In consequence, the boolean functions have identical accuracy to the trained nets, unlike existing approaches to neural network binarization. Experiments demonstrate that $\partial\mathbb{B}$ nets achieve competitive performance on standard machine learning problems yet are significantly more compact (due to 1-bit weights) and interpretable (due to the logical nature of the learnt function). \end{abstract} \section{Introduction} +\begin{figure}[h] + \centering + \includegraphics[width=0.95\textwidth]{db-net.png} + \caption{{\em Learning discrete boolean-valued functions with a $\partial\mathbb{B}$ net.}} + \label{fig:noisy-xor-architecture} +\end{figure} + + \section{Related work} \section{$\partial\mathbb{B}$ nets} @@ -78,6 +85,41 @@ \subsection{Differentiable boolean functions} Weights are trainable soft-bits. A high weight implies the corresponding operation is masked out and therefore inactive. +TODO: requirements are smooth almost everywhere, strictly increasing or decreasing (i.e. no zero gradient). We also want to maximise fan-in information where necessary (for backprop error signal) but also minimize it where necessary (e.g. picking a representative bit we want to optimize). Representative bit when we want a vector-wise update; otherwise, min/max. + +TODO: min/max are a degenerate case of sorting/ordering + +Define +\begin{equation*} +\begin{aligned} +\operatorname{margin}: [0,1]^{n} \times 1,2,\dots,n &\to [0,1],\\ +({\bf x}, i) &\mapsto \bar{\bf x} \times \left|x_{i} - 1/2\right| \text{.} +\end{aligned} +\end{equation*} + +Define +\begin{equation*} +\begin{aligned} +\operatorname{representative-bit}: [0,1]^{n} \times 1,2,\dots,n &\to [0,1],\\ +({\bf x}, i) &\mapsto +\begin{cases} +1/2 + \operatorname{margin}({\bf x}, i) & \text{if } x_{i} > 1/2 \\ +x_{i} + \operatorname{margin}({\bf x}, i) & \text{otherwise,} +\end{cases} +\end{aligned} +\end{equation*} + +\begin{figure}[t] + \centering + \includegraphics[trim=0pt 0pt 0pt 0pt, clip, width=0.975\textwidth]{logic-gates.png} + \caption{{\em Gradient-rich versus gradient-sparse differentiable boolean functions.} Each column contains contour plots of functions $f(x,y)$ that are hard-equivalent to a boolean function (one of $\neg(x \oplus y)$, $x \wedge y$, $x \vee y$, or $x \Rightarrow y$). Every function is continuous and differentiable almost everywhere (white lines indicate non-continuous derivatives). The upper plots are gradient-sparse, where vertical and horizontal contours indicate the function is constant with respect to one of its inputs, i.e. $\partial f/\partial y = 0$ or $\partial f/\partial x = 0$. The lower plots are gradient-rich, where the curved contours indicate the function always varies with respect to any of its inputs, i.e. $\partial f/\partial y \neq 0$ and $\partial f/\partial x \neq 0$. $\partial \mathbb{B}$ nets use gradient-rich functions to ensure that error is always backpropagated to all inputs.} + \label{fig:and-plot} +\end{figure} + +\subsubsection{Not} + +TODO: this is not the not operator, but `learn not'. + Define \begin{equation*} \begin{aligned} @@ -88,23 +130,53 @@ \subsection{Differentiable boolean functions} where $w$ is a weight and $x$ is a soft-bit value. $\partial${NOT} is hard-equivalent to the boolean function $\neg(x \oplus w)$ (proposition \ref{prop:not}). If the weight is high then $\partial${NOT} is hard-equivalent to the boolean identity function; otherwise it is hard-equivalent to $\neg$. In consequence, we can learn to logically not, or simply pass through, the input value $x$. + +\subsubsection{And} + Define \begin{equation*} \begin{aligned} -\partial\text{AND}: [0,1]^{2} &\to [0,1], \\ - (x, y) &\mapsto +\partial\text{AND}: [0,1]^{n} &\to [0,1], \\ +{\bf x} &\mapsto \operatorname{representative-bit}({\bf x}, \operatorname{argmin}\limits_{i} x[i]) +\end{aligned} +\end{equation*} +$\partial${AND} is hard-equivalent to the boolean function $\bigwedge_{i=1}^{n} x_i$ (proposition \ref{prop:and}). + +\begin{equation*} +\partial\text{AND}(x, y) = \begin{cases} - 1/2 + 1/2(x + y)(m - 1/2) & \text{if } 2m > 1 \\ - m + 1/2(x + y)(1/2 - m) & \text{otherwise,} + 1/2 + 1/2(x + y)(\operatorname{min}(x,y) - 1/2) & \text{if } \operatorname{min}(x,y) > 1/2 \\ + \operatorname{min}(x,y) + 1/2(x + y)(1/2 - \operatorname{min}(x,y)) & \text{otherwise.} \end{cases} -\end{aligned} \end{equation*} -where $m=\min(x,y)$, and $x$ and $y$ are soft-bit values. + $\partial${AND} is hard-equivalent to the boolean function $x \wedge y$ (proposition \ref{prop:and}). + +\subsubsection{Or} + +Define +\begin{equation*} +\begin{aligned} +\partial\text{OR}: [0,1]^{n} &\to [0,1], \\ +{\bf x} &\mapsto \operatorname{representative-bit}({\bf x}, \operatorname{argmax}\limits_{i} x[i]) +\end{aligned} +\end{equation*} +$\partial${OR} is hard-equivalent to the boolean function $\bigvee_{i=1}^{n} x_i$ (proposition \ref{prop:or}). + Define \begin{equation*} \begin{aligned} +\partial\text{OR}(x, y) = +\begin{cases} +1/2 + 1/2(x + y)(\operatorname{max}(x,y) - 1/2) & \text{if } \operatorname{max}(x,y) > 1/2 \\ +\operatorname{max}(x,y) + 1/2(x + y)(1/2 - \operatorname{max}(x,y)) & \text{otherwise.} +\end{cases} +\end{aligned} +\end{equation*} +\begin{comment} +\begin{equation*} +\begin{aligned} \partial\text{OR}: [0,1]^{2} &\to [0,1], \\ (x, y) &\mapsto \begin{cases} @@ -113,9 +185,12 @@ \subsection{Differentiable boolean functions} \end{cases} \end{aligned} \end{equation*} -where $m=\max(x,y)$, and $x$ and $y$ are soft-bit values. +\end{comment} + $\partial${OR} is hard-equivalent to the boolean function $x \vee y$ (proposition \ref{prop:or}). +\subsubsection{Implies} + Define \begin{equation*} \begin{aligned} @@ -126,17 +201,25 @@ \subsection{Differentiable boolean functions} where $w$ is a weight and $x$ is a soft-bit value. $\partial${IMPLIES} is hard-equivalent to the boolean function $w \Rightarrow x$ (proposition \ref{prop:implies}). +\subsubsection{Majority} + Define $\operatorname{majority-index}: \mathbb{Z}_{>0} \to \mathbb{Z}_{> 0}$ as $n \mapsto 1 + \lfloor \frac{n-1}{2}\rfloor$. -Define $\operatorname{select}: [0,1]^n \times {1, 2, \ldots, n} \to [0,1]$ as $({\bf x}, i) \mapsto x_{i}$. +%Define $\operatorname{select}: [0,1]^n \times {1, 2, \ldots, n} \to [0,1]$ as $({\bf x}, i) \mapsto x_{i}$. -Define $\operatorname{majority-bit}: [0,1]^n \to [0,1]$ as ${\bf x} \mapsto \operatorname{select}( \operatorname{sort}({\bf x}), \operatorname{majority-index}(\lvert{\bf x}\rvert))$, where $\operatorname{sort}({\bf x})$ sorts the elements of ${\bf x}$ in ascending order. +%Define $\operatorname{majority-bit}: [0,1]^n \to [0,1]$ as ${\bf x} \mapsto \operatorname{select}( \operatorname{sort}({\bf x}), \operatorname{majority-index}(\lvert{\bf x}\rvert))$, where $\operatorname{sort}({\bf x})$ sorts the elements of ${\bf x}$ in ascending order. -Define $\operatorname{majority-delta}: [0,1]^n \to [0,1]$ as -${\bf x} \mapsto \bar{\bf x} \times \left| \operatorname{majority-bit}({\bf x}) - 1/2\right|$. +%Define $\operatorname{majority-delta}: [0,1]^n \to [0,1]$ as ${\bf x} \mapsto \operatorname{margin}(\operatorname{sort}({\bf x}), \operatorname{majority-index}({\bf x}))$. Define \begin{equation*} +\begin{aligned} + \partial\text{MAJORITY}: [0,1]^{n} &\to [0,1], \\ + {\bf x} &\mapsto \operatorname{representative-bit}(\operatorname{sort}({\bf x}), \operatorname{majority-index}({\bf x})) +\end{aligned} +\end{equation*} +\begin{comment} +\begin{equation*} \begin{aligned} \partial\text{MAJORITY}: [0,1]^{n} &\to [0,1], \\ {\bf x} &\mapsto @@ -146,9 +229,49 @@ \subsection{Differentiable boolean functions} \end{cases} \end{aligned} \end{equation*} -where ${\bf x}$ is a vector of soft-bits, $m = \operatorname{majority-bit}({\bf x})$ and $\delta = \operatorname{majority-delta}({\bf x})$. +\end{comment} +where ${\bf x}$ is a vector of soft-bits, and $\operatorname{sort}({\bf x})$ sorts the elements of ${\bf x}$ in ascending order. $\partial${MAJORITY} is hard-equivalent to the boolean majority function (proposition \ref{prop:majority}). +TODO: explain how we use sort to avoid space blow-up. +TODO: discuss time-complexity of sort. + +\subsubsection{Count} + +Define +\begin{equation*} +\begin{aligned} +\operatorname{low-high}: [0,1]^{n} &\to [0,1]^{n+1},\\ +{\bf x} &\mapsto \left[ \operatorname{min}(1, x_{1}), \operatorname{min}(1 - x_{1}, x_{2}), \dots, \operatorname{min}(1 - x_{n-1}, x_{n}), \operatorname{min}(x_{n}, 1) \right]\text{.} +\end{aligned} +\end{equation*} + +Define +\begin{equation*} +\begin{aligned} +\partial\text{COUNT}: [0,1]^{n} &\to [0,1]^{n+1}, \\ +{\bf x} &\mapsto \operatorname{low-high}(\operatorname{sort}({\bf x}))\text{,} +\end{aligned} +\end{equation*} +where ${\bf x}$ is a vector of soft-bits. $\partial${COUNT} is hard-equivalent to +\begin{equation*} +\begin{aligned} +\text{COUNT}: \{0,1\}^{n} &\to \{0,1\}^{n+1}, \\ +{\bf x} &\mapsto \left[\operatorname{k-of-n}({\bf x}, 0), \operatorname{k-of-n}({\bf x}, 1), \dots, \operatorname{k-of-n}({\bf x}, n)\right]\text{,} +\end{aligned} +\end{equation*} +where +\begin{equation*} +\operatorname{k-of-n}({\bf x}, k) = \bigvee_{|S|=k} \bigwedge_{i\in S} x_i \bigwedge_{j\notin S} \neg x_j +\end{equation*} +(see proposition \ref{prop:count}). + +%$f(x_1, x_2, \ldots, x_n) = \bigvee_{|S|=k} \left( \bigwedge_{i\in S} x_i \bigwedge_{j\notin S} \neg x_j \right)$ +%is a logical OR that is taken over all possible subsets $S$ of size $k$ of the set ${1,2,\ldots,n}$. + +TODO: count is 1-hot function +TODO: count allows us to implement boolean counting functions. + \subsection{Logical layers} Define @@ -189,6 +312,8 @@ \subsection{Architectures} todo: architectures +todo: multi-label classification + \section{Experiments} \subsection{Binary Iris} @@ -219,7 +344,7 @@ \subsection{Noisy XOR} \multicolumn{1}{|l|}{naive Bayes} & \multicolumn{1}{l|}{49.8 +/- 0.2} & \multicolumn{1}{l|}{48.3} & \multicolumn{1}{l|}{51.0} & \multicolumn{1}{l|}{41.3} & \multicolumn{1}{l|}{52.7} \\ \hline \multicolumn{1}{|l|}{logistic regression} & \multicolumn{1}{l|}{49.8 +/- 0.3} & \multicolumn{1}{l|}{47.8} & \multicolumn{1}{l|}{51.1} & \multicolumn{1}{l|}{41.1} & \multicolumn{1}{l|}{53.1} \\ \hline \end{tabular} - \caption{{\em Noisy-XOR results}} + \caption{{\em Ranked noisy-XOR results}} \label{tab:noisy-xor-results} \end{table} @@ -353,6 +478,13 @@ \section{Proofs} \end{proof} \end{prop} +\begin{prop}\label{prop:count} + $\partial${COUNT} is hard-equivalent to COUNT. + \begin{proof} + todo + \end{proof} +\end{prop} + \end{document} diff --git a/docs/logic-gates.png b/docs/logic-gates.png new file mode 100644 index 0000000000000000000000000000000000000000..fffe6afc370bce4ef05176f925180d8b180b867b GIT binary patch literal 238237 zcmce;c|2C_7e2a?5)B$2LP(K$D54CJLQ#^LOcjMt$vjt-3`rSMLdsCaOqnT^DP>B= zqJ*L{&zx)be&6r=et)0O`R9DjIs5Yt^*qns``-7x?zOIUt!wR@8tN)*=~?Lsf>?Xx z@F7itpu0>EE8^&=@yXIEsF5^WAN*y-iErb-PS~wJC7}D*)tR@v(2<2P zn2AYz@-YY9Vm@=3S;IQ-@@Jo}zpE-XUi@9v+BuLXHkrzx1uoPds{&OB@ocLv9yY)Ov)>^9r3&dE zwZMn64odnCS{KebIG?h&AP(AFoN}-*-{x%PV7bk~(qfz51)H<>r);+!J!N;!@zgns zZPMGEot;IT|N2vg!Gq!!!Q0Ai-HVHt_B(scA8WUfY_C7- zx_?PJ>fzX}NOyZD6Y&Ad3AYjq?ytjVb&fUj-+v)AEIy_f6WS3`Q3e_sajn+I#>TDb zw2ViN9Jx?38KIu^qo-s(?!dJck)%5|J;k$arrxdAxfe=j6JNY|(a|6GOn{HCy1st1 z;$9gUnZ0|Hjn@(79tH*mv$M0T!LQ%GJvL%U5Z|<}52~xH-@0|nI+BJEGj(!uGBJr^ zeAV4;Y{zBb`ksfI+x*-)oZgb6cN{0|@>-ZV_CRvqzJ2&Ft{`wc`|MlAg9pdQ$1{uy zvTQpgbL$T1gx|e;`Ns!gF5lSL*c&%)bo3KMedN7+_oAYnwpz1ESjIUC6U2Cbe}4^E zAqE>68Tr>w!otF0Vno*5p`4|mF%#BJH!84d-pN%tG1PqR+O<}Zq%mJ#-ylwT6T0V~ z^HUae5l`_k|5Y?$bYy#qKwz>m3=9JO4o_x9+LU_`ti!o72PX*v%MDQMmlocXL@h!VLg_h zGxj|tL&T(bW@&N0^TmZvMa~!A#mEVcH2vq=M^&<@6+AJEO+O|T{Uc4i+S}U;>_yyW z$NKSvN=iyK6xu*~Iy$Lc*8vxcp*HNJvP6=yd0WvOQRd?c2A@%bT_j zj*J**pFP$-H90vsHm141_U&8aJR5`YZ*N05?ccPz&v*zdH z(=T+es$ce)A9-P|w}KFRjYo1F|CZH!%iq7cx>~G1IhajKSw*GpvD?JpsiEyuFtvkO z)NwZH#zjo$B2x4+nB4P(Pv%umRfp~f{F&)KZTEIrcD!C(nf_#nTW;1s7{69PH?M%e zGrbHGDZ8%Q@@_6JM;}V>k(Qq8DRHkIK1s7`-O-~*gKpjO!t{4_clW=>MV)^2lzf~% z?6th;++PSAlhS-78={*MF0-CZGIelW#f|lm!E)|Xm6erS?MYL0NkNup*I(+NzXW2K>@KEMLPw~@*e78yK9rNcbEDDN>>cpLYd`N4# z|D!EK)Hz)%>6Utuprbe8qEH_tuEO#IcJ;A3MznM$K5O9H+XwxxBTd|nNMdQEY&*yq3%GcO84l4}i*P>RX#Q7P>9K@ZFt|)vlJq~ z#Ao#`I(lnCZL0F)rzRzCMn*=n8B5cjyhFC`Yx?c_;g0q&J0&h_Xw<9-<2-t_zP~QA zRb++E^)WjY1Na4sTxYye;Mb&vh6Ze-DwEN&<;4v9J6NmJ(*=${B9fAlx{@w^c^wrM zr8M1Ma5<@Dak(tNCHchTpFJfh9;~da0xxd(`SG)1F7}yMGgg@P;^v|bh7Z;ClGND? z4&L2)ENHpS{a49!SoTO)LH6Lf>r!h6-o;*6u<>~m6trg6;hd^!Ku0bymz>O(AjKx* zWb=G}^XAPCKf4TO1uy>W+V^E(_*0qpqcR~jDLaX*vN1=sl-8a?$GYkmm0Md+H0-@9^ZYN{Hk_G9Jg?J%mF} zwFI*j9nG#sH`*Zct2+4lJGNuddmCq1Vm!u~!I1nTtB%s>1g>_1A{?m;EfbJn+?n`_ZFE@Y%1O(?7}x_$YPfUpnYC zRLj(3KoytB={0jeve5B|Zkl24>1ooGzQa&DwGxl=J6VLS-n5gOmzRNS>(;FwQVqWJ z^=Vq(5Y$Uw!?OF({$0JFKWBQ(j)e>AMM%%;>uXrzxjzW%rivAR zNyN4t>aDn8F<-G>9|Gw~EFtR~hA zsi?fEu0E`yqQZ5^$!Y52^D}{^A0zMIm$vKL+rDninuX!)cWdO?Wt>uNuzt%Ox#wSt zzJLvun27pjW@od>x#e_i*|@RknT}w4PqAxus1(D6Po*UnKJ9P+*_IJIHb^04ec)o` zmuAki@AqC>IC-H&#~~IT&jY?XOYY+5@)M7h!?cI zQH4|3?ar<pz+zQv%!MO_l_N!oTWn|g3{-n@Bp)6S!OIoIsR)#;wYj_x#! z!`uZQ`(pAs+uJEcCo@b+%)fLMTxJ$Ektk6oG6hV%W)sTF%4|Z|q(t`YY5ms)A?(4sN&0;jHh1*v1Cbou+9w)4ORUl7|gn-_T|e1bdQ>cbTdqB z7Yy-n)@X~?asK1G7_N;@jdZ?P&n~Uq)Jr-kK0b}~leMBNi9EYkzN=NKM==G9vjef$ zW50d-c8f(^+3A6om)C|38z}aTNAB+AebX)0OjUDb1fO5m>NP!ZvCzH}_ z&-afiQVp^LI7(q>*H*2soho)64_meUsMM)fzRgL;v2tyS{;^(jLoYsg{piR|8MDG_ z(@<0Qefi?Y$R=syGX7R7Q10f9+xk{chc>#kRLzl zw|k9NF|UCYQWq-r&&t??t#92^~m zt)$0pvCGtYvP#)S-@U6fyuT_v`}80}RIYXFo%xCHtts!5FeVMJNO&J+x#GAu1=rzp z#~&Y*y_(_3_>u%9)b^OI_>o#J&Ehm!LgOHTguvOarV0n{8~px2EPDqYwK91XTAg?ex{pGC%S>!@2VHYYsU# z?YvK3^S1krtl>O&RzQrPj7SSPn*i--cuUBYRg&CA>ejs(Bp|g)i4)ui8F+y~5(e0qRsX(%aHQ&ZEt=)Jbto!+3* zs#`DG(oXWS2^;2Ewr5#bm8~UY6>zerhlejCz`>c0jyN1-id86VQU672pcu>-9YS>_+ z{l)Il-@gZ&64V|w3m~j-XG=OBt9#ZzA}c#Pyz1=S#E{nTq2=pg<~(w8i=yI(BtU2c?##0hz+WJMX14eHT^`>vsk#k9RwNs-gWZE-v2BU8v{}XIO$w^*V%v z07u*J-o5+6uG`RIRljir#sKV|Ke+D7l`HJh4!1{;6x6B--rBm)9>(4N?b2C-uM&@0 z^Xl>A$MQ3uY1(6uwlw83k?!m<<>f`%c?`Y3=vS%Wls&~og*I6t)oi^2d+iP@MY`tL zkjxh^LV|)kzJ{u-iFF9{_y0XUE;w}i@<2n)_3Z3%KtatWJ8Zm&;PY+iEbVWbo3$hx zV&qN^K7RjR!{WLxMk8>!n~n<+E3xu$qDS-HPkIUS)4$keM~FC8eMDbe;`9th50Viw zjj4UE>a^eT{kDoSX2h@<2`f!yWo32shWmTY?>ru3G~6raHj!+QefIR}c*fITUI$+n z-3xRz4+bE71R)|y&X}8!-AheF6DeeHdPe;SECQ)OLTkiW%h`(;f5TEsy_dcI1dKJN z3L6x=NyqHULdqcxdL~+s13$(;~A6WLS zExTS_d>fA4Q~y9J9nWwd6VIyh_fh|-GK z!~4SB&F$>DbCGiltX{FQm--GxEq(cXrHXzk)BeUfc1<_Qs@ z-ETkpuG78?$x4At%Ifh?_@}0(5M67hj_;p6v~PCw%bT||2?WC_T6g_|7&&)=#R25I zW_>5FUoOCebpGC9G3M#)JUuZnai`(pNXMSpzQ7spw&Ztj-|8^cx&d3golhXt%y4@6 z*RSRk7PQMVUqWgN><~N_=O)8{baZxJXwOO*w4*qx&}K5~X09?5rl+S5%NwJu+3Z%b zRDOk~He}VhtzxBHZtlL~RV6T$QyVRgNdd&UV*_S_U-ab~cIlRynx`#y*%}Pb&T!Hb z&qVr17`YDF+uJ|i#K)YF`e-8~W1LWGyheltDw{J7Dv!^ZOTem(t-FA%sJ6vS=FK_%*P%hJcWBV3qhvd+0ahzMGz-X((IiP z#HY={y+BV(?+>o8$qS`@!Qs7d$wKLc<7FLWSp)x`AIwS6lbJyJ&hIc_NSqn|d$L z(x>uma&q03*$?HtmvFa8TZ^da9V)j-fX>6-_v@D^+lAs$Ww)A@YgxIS-GSPIhb1rd zRVpU!X#twudF+05-tKi8G1UyKS6d;a;V(<nhX0qoDx*= z>QxY@Wxhm7mPrX$ny!q;%*A$Hrb5x$h6eSauZV|{(a}O{q|a5{C5WJt1@`@9%HLUQ zx$rn-zoz24FD7n7Jneg7N}s%!g*#Pin=k-Pl{)w#-470-Uq(O{VF7A|k(FK#QKBI> z-{n1C>Nfd|@l|W9PShrwuKY_R!Qr%wEMv#C^3my^MZW}oykp=}zO{9>RnL^-UKLRI zm|C0l4uy!A{CFk=@bf&HG#Aw-^3^*p6S*Zb?&r`+>;?GfEeU~9tP+zANor6TZHx~GTXq(}&s=t}Q<}a7mvFtVnQdi#Tn{iu4Kp}w($^SYTnWE31&Dw7T28#FJ1}q}& zIBRj_#V0pc*EId-udv`-9&S21`#sltc?p{&BIz3mnnS+GO?^C5_4CZk-1o#|4?X}_ z@cMkPlt`4{B+SXZK@rcRuyhr$XQVw_W%ipS76-ra{{3&te?mhpEXy^e8b^>boDa?4i_XKxL25)J>dhKg$z#rmE`U-b;!{YC#&mf2x&~ zwV+P?Rv?LqF`MQyA#zh=b)q+}Ul+K{o38)7Zy?q?-FG))#S5nq!!IxP3VcOUVnrtH ziI~x>(EInT_ZnP&ev3n{(6VuRJBO5=5vW){M%#{@6C4?P0R`^xs0DC*Ec5o>$E#px zXSc8I+NKw%|Vnf}WJ5@Q&AcFN0*3{g6s3`%Nv!Xx0R-(h;`vdJS!}h&2 zap|RHW@hH91jFY&+aC$~q`hpKj1;`JY_6;TTxg%j#$|N`DP+>_YDi&M;a#HO(bhnT0?T?% z)=9T1I9)~0b6u2MLPFc=OF=BGU4*wox&X=PNVP~ zVBGm<7k?*cNt0_U*P0_4?Eo(mQD+Lm?hE{$@$=Juy;qLQO@@sg$iD>k7aKd#2JEga z0_E#vX}(%lz)o#9*^lWaC9In^T?TN?Wq5gQ@N3OoRZ|J?C668Mtos`m#^1>^&rN)O zd97CBA%L(DRw3sg_~|jDlQ8D-v9SOXMb~Z8LPDv7Nr=6uMBJ4@1?W@$rHaG3O0oBx z9377xKQ3kO|A>UG`+kE+-pN60Zf=e>!SUqDlVoEC0a|X^K$(;|2`;XeZEbp9 zhM+SP7oUwy9{*E;(acB?()ji3m#GbJM%xcZY2!xoMHuec<*PpZMnz7-J9qAsl++zj zBuY#&-ZeDn#%!CKn80J7eZOt#r9N$zu7K5> z%zjqTCXgvBy}Zs!+q@jIl$lnh3UPI)dBkttEq`E zezXURBs4(gy=r=SVr*N8)*JvHEJv2{#C-T^c&%C?6F?GIFk*!k6X(7b%=4=iCE zRx63#O;Zm`b{_tCV)#E?t9aMOEnAXPt7r+n8t{JoUn&&+VfNYvd8(t>$w+QB^FRhJ zyy5iTBHxRdN|%)o4hFTBB3#jZ6WE;TzUK9(fAB4KUmxS}6Egx@)llN9Xl zuVJSf1n!WBCt;zjJNw+b=zW*X=R;LE;6O|P-;T-`M>}i#)E+`%YL8)>u50bgVB_Pb zPoFAH7l0P^kkO$#0rQT3dJ~Duc8i9$sK-=QR&MS%1(F36$ej_C1W1lYq|D$MDt5fF z9`?d z$GZRAXAyiCmR@be=EsOErL)j6#is1{D~1I1H$uLH%}F6+D}(OTZq~`UocMs2__B^e zHaV!Ar1(zX$X&N?9SG^$-MP`5gk)qoXRJWfrQ~3{gH)*1)&cfd8=IZ3n|6OJmzvmC zGTq~jAKZn%^(uN_Iiv}<-{byEu07)NRq(>KZzImWy+6`Za?;>!mBZOjKzl4edwYO3 zk4lb>jfEY0`F>{fOL)~tMMZ_${r+ZDQ4QAblaX8MuA&zJyg4_K3ylT{}odJqP4uAzaOOt|p{q8#isTI2l#W zN<52zW3L_h<;R#&I`=Fq|I!JP7DjQ!<~UqmLshZcZlOM) z*zw{5=jP2%7OEp92r=--jwrp@mk;;$J_>pf=mrpVw*DShCy87iTqw0#sQ&|U)7pX@ zZ?64SM8=e#KYv=t(GVXqN#F-MG^-nU*@87B9xxSDCvUq62+-ct;%}}~?dJf*+OY>f z4FKXb2Z`VFgp)I8g+p*!tD)uL;o;TciGb1d9Fjq836>W`%d^UZWk9H2Wn8Hlb4ql=U|}b zSOH1}VCT;M&gXw?0m83%4m3Orx427n{xT3+ef`li-IJEDxrqQ2g^tC@8sve0KQlwm zU?vBW1jS}Q#-5%Y6B85E)wN?#P}>xlDq1`Ir-D=LDlR8yOt)d<#_cb{_7_nT`YlNO zl|wj$eE~mJ?CrD0erNHlprvJ(b8|rc1_Ty*5-c43+odx2F?cLiyGBb16b@#9UsH5a z&i47O8HnGt7&RCj9gV72yKX5TH6c(7YCe2=TU00~@l3*^*choLZ;Xp#_i2LgyT_hF zcbVkSLfXrTWSftfr|j(_u=%m=8k!=es-0uk=|hcsqNoU+ zuy)e5yqTf#sol!X&Mc(Atuq#sVW{76f%kXef8irQ+I$VyGqHkUKB5GT3=bngkObEb zd*j%9F%HFH3+Y)P*RWj8qux6WGulK=iuLoDMT{(K1KtuuvoV|#pkTxZh~&tei_Ap% zoYJ8~e6}3tRuU&q_pnnGC|w0Kaiz$cyuoRL+A6j0uY~~!+V)R@k9LADrV9lx3fd$r zY;&-(7Q!C*Q$0Ps@rEdp`=t8b*LONUC-D-%NHaE;FC(fAdyLZ85*l1!*0eM)=R0?d#tRF<-xY8UJwdLX^u4Rs|dvz}{|)+8rUX zn!Wv0<=2MD>6&S!$2&ZOK zmm87=xb^Z2nT&m){En%rY8FM?k4{bXytrVBfO52bpPZa09EhSn{BOzp&mty~wFHNe zVH#N{EzYDSB;&9E*!es7R}rXwVwVMw3J(Tm=E%t(ZJ-II#l*zGo{!kqo~^#kg$f7& z@Y@Gcu?Wkv;{(XR?E0RcIB^1Bz=@au2WDqyEB#pEv#M6>xSURgi5#lGu#k`~yS7V9 zy8#SXGb21_OFMptYlpYT@fZ(=ho1yYl$DijNoOE5sA?~(&}xJ#XSAgl)3j{nPSX&LG7Pat&|=P4fg@8hUa7O5KhbC?Mr+5Y>`3Qhg{kHo!zzm+2dQLYU_;qN1Hy8)CGe;r~J z1iAklK2L{RMF`yk8Ert@#v=ky5DD_}-3|t=lanLi7)V8gsX$IdlIyz;t@05#megGH z8ig)!xUIq~2@MXnlG67~cPI;-ORs5sY(e(m&?%yaIhgscBl5UJ$>aE+3tx6}63Kx< zF26x0JF*eCYW^`f7PU7`H>J_C1zH}n{SVc7V{e|pi8}XpA8NCdFcjW2M&omg%is#5 zqNT)rq{q1_#GiTAQfGxz{(>;~X9|tWyyV2iwNhF?puG4;2vyh6a4RH)SrLRwb6uU< zh&}FCL}FFp72p1TdgA|nTK<2S`Tx&uk=g)m?bV+H(h&yFu&Ahg$cZyEGf^>3(PSgy zjzSr*m5FI;arzVUq9q{osZ*y&#?~YwW8oD+SiE9nCu~+8bRd!$xdk(&v8%#JlThSb zM81M-5eUf!b&G^HY#Qmo}cy zypj(HgY+!FsAzhqS*5iQlm2CBh+nTP%(&1b<5P~+UB>w1vHJne1ejM5d<@qI2{X1W z@iYp4+YGMk+3m4SJ*nBYr`Uk55k3{+Ib0Cq^n3X5VKgLXwlc`Fp-szc{SiADF2qdtMQFd2dXtqCXYQ%Dtq@keP_H!F_$+lKZ(I;3hX)EOa=5i~&5Q=UNHkB*}3lp)E|#+gWnn#=flHp}zx~tM%*G zb0L`VLVSUwxfQxLvz@cKBOsq(mk2KOt5=^W+D`cF`=3Dz@+{XgaFJLU^t#|3|4T(jjbWh1{Sl9V6cKxX1ppRqrl?FyGP5ylC- z)`t3rF&^d7n3x#rHflmFcKDsKkc|PJj!Hx{`@(zuctO`$tS*4F`KqnyC$J-@x4fCtGimDjCW;qy!od0S&+K8 zoi^xh*bmgVyvJiamX|!$wCM=3#w?3EBzq1^3$s}qE}zSz~N4LNSoU z5_C26M;)QRgv;<~F-gfhI9C)8kqC7n|3a_<1+0PH1ywU@hiA>r_2Uf*g(JAG z*TU!ObPJo{n z`1)1Cw!;C$U2BRSv*H>KSrWV>;E`k`sO@hJ4^KXtq$UC)!@`hdC!v(}VAL|35!&2k z)DCb4=l+Es8D$Y{pn3;?{Fv{${0=c=7CRkI;AwRL6~V(dz$mwUdmjoYX-G3rcPB-_ zzRAeBK%C${ZlJx|Ox$g;%PEGUM4St`#sPf~DPbbw;>{4sfUkru9dP;Ro5UwiY&!Ff z(d|MVg(c-MK*E}}YblENrsD;P@-@;AApk>aBz@q(0hIME(_zwUmJC5uIoRd+EoBaD4k3LHH!Ny1NT5&XPQf+sw;rtNa*`-IoY8 zZCXyUCxD1j|Iph| z!(#(H3Ng&H;b((0OB>EY80Rf=NSK!7mNF@J*@XwrszVSYz5b+I317Mz>4A}nuOK(+ zcGBq?!oM4UYTiI1)$Bo)TIGWEM0qXCP*X`si60{^EiJZjxG@tE7Zld}B2?rdIfm6( z1qESpAQKY~CtiJWS+#0a!I-L{p`k@2z>Lfe^5q2UKv1ku#a8lB_#^V-|>fYE4 z)VQ-oU`YpU`Rf|jl@hGMp`JnBtV~S0mTHF%9hzkj6xg;+f$kI{{LQ<94$=>|b^!)# zS+1({ezdUQVQOlMTLms@x|Kjc`=+zA6NPM(lRn9=M+&h zU{pk&t3Od@f&vTfjEe>a1}ZK8K%~Wdfl5NXJ8%lMmzI_mq`fHY*R4_!;suH0lsRVV z*I!NBTfV7g2`d|9DtRgF3waStbL`fg{;%J@!Kdia^$rZ2Ym^y6 zEd$O75^CshnHCcqqyZqhK(ZB=lw7-dRmho(s}g35Lc;fN-=?67!t{cP3%wi&@c1Tv z`L`YPv6J6*xDEmC3AtSx22%of;duG-c_h)$A_+Tlm6()4R}6t4@L5ufTP?X_!wB6y zv@z0-&y+-0_=SoXN1ZBniL`sPH6gjBMH?od_UXuRH8o^}7a`ys9eqCNhf-K`Q`7Ls z2r>Z6Mg~j`7D{0kt*fU&@Y z*fu8y_lvCX8-6$G<_U2)aPA}6w_P9NUtIdw`o^Iqs&ZMhPSo9DXk(U1ItL2QX3H{L zhDJ;p4UzonaHL3C-DvSXY@{rCX5}J>O*aM!!VwuRk&6@|>+AR(s*e z2fb`GzJf&D_Vxsbrqc&iveX8kLeO4KdXO{2@y2ety1D?|acansuVROi#7jhLf*LcF zh+yqOLT#QKM7PF9MG0_oEwemydPF&^!>=A=x=}o4oxw1?Pzfj?fiUdf9neYad+}_z zWG!m8yn=#ij~g98Vg)zBy^!FnMKO!I?is|*(AW4ff~0UnlTX$nEDD^*9~Sjx*f?W4 z;qx8xFaF3%{XCnf-YFNLDdQCQi2j#Mn=Yv z+VM^4go4F)=oN9AIBH!Mfv_78(EPrDBM^&uN8`AAHyc(8TLtz7Vn90aR9A$ETT!*H z5rRraM#kIG(OrlTAb8b4P?Wgs5fUOLEQV=Q51o5XJU9C*4ERiD>JZS)uObOD?zDOkMRWHEwqhyA0W~@=k6#8bJfjML|J9U;iU| zmfqegjgrzM6pRtSNuIt4`?SQ(F<7}7_ab!w5Nd&YwvGhnca4M@Dk{hCOOU-BNPod_ zkzm5*_va@^?*2E^iyIqlpsziP`VCN)&`>kk0ud#i^f3hV?=(P?_Tja~1=K`8w)i>O zSV^O;DYrp$A#ZM>R-z*6PfanF0Ae5y6qMK_PbiRSSR8%tLyGnh^0dDW4cZ#|X9BPO zCZZJjcNiR?DChtEb+S3PU~&h&pWxU3vQUBB4Gx6Ap`ZHC1$k4EBJc;Uthx!tY7iZEFpb= zdF|>yKlkDmbn(Gf{m)Sg3G8~Ne}3+IJN5IGga4fpvL}n<&_7c$j<2bd{`r~)UmIQT ztwm~&tP6)u>VI0~2(!h*y1x~gEhSL)Kxi6idD;y444F%!lhWUJPf^agx~d!Y;W7U0 zSbM3*Y*t~_-`}N1|Cw$mCF^Qxo)7Y%9_0wvLH^4A;>AoQ(Z6q$T!&>8VwBBP zJ8No=RH+jBA<(9TrfMsJQp?)F!C_JpNlL`f5NA@uOl#JksQyqji&}e)S`xn>*8Rgf zG2H@}(fEMyxKuiAVvE4$6r)0iBWbD{y1?kOc;;3-2xS!Qbww-gJsqQ=D8Zc_(IvEv zxdjzY`3m~%5oArtFDzWgDv{hoZ`qM!m4KL+Qsqbu-2n07eI{Du*xvZg+{FbeiL$ysyk+H z@7%cq7t8NUDxQH!(7(6=ZCqqGmNAj)2ZYwab5AwJiOMH@_ff5|Fj}90dn?u;pS|mY zohcTibNb8~WFhXOeN~VmCF^fYHL|n&Sry2PsYO99)kb3B#tK3QUP)v7D@wT=V+!G8 zyG<8*tP^~?C!TNARzmBE)I#V*T7_^po-No_`ZT90MCRH`0m4k&Uq{2sZ>b;8oD4|r zqlrI!-;T386;e@;xTa4_fdwnHf`t#mZr5OVPC5@;wj4+u zi(`QUw?XQWd~&rIwzF9lEaXk!;r}ySU^RhKF%WN`CkqYXMX^ z8@alimE6Jxw)ZvZdg(QED+ShXqo$Pa+>j#cb6ATwiHi|g9ST*9csRjI8#4vJQ-)&Y z4*!0-^834lw-D!H58B+Au+9JT-Q0$Bv}a+P(PHL;{%2KnXvqmfywa9^MTz77_i1s~ zh*4%dV0{9&8BqoNj}7T;z-i|dvZ(dxv8w+6vvTA-YhwxYG2Ctcp6091U~oS0szeAZ5-~-8wZ`oK{6ZLmi9>yaP zF)Q~0XN%MT{V*hD0H~0-H5m#Z9a9Yr4Qp%bvuDo&9H4L56pT1H*z6@|;@QU2lpmWR zngoZ7vKb^vNDP7VXMyJuIZZS)7&$n4&{<1jFE}Bf3sB}o?$hc0^ef|}Pg7EK8o1^F zPhQ_*2f2D)O6mn%FM6WL{#Ygfick19-RJ6S8tbm%*#+`n1U6ZmJ6AT*qy}NSPTtnN z7e9mjMc@1f@JdKxM=K`X7NH|US4EP|O|-w?xB_TU1mysV(0Ad+#}$&)wB z%ge!;onpN7>u)VU9{`rKgM+Nsf(u9wP|BG?c(xqx!fJq#oLLV^Gl_zx052 z1}!%B2E-}6J1JfPxiyRC5VUj(=|~fkj4ArO*9ZHV+1Sp{yeoqCe}Q3@nN@N2)h0Ba zUIO(40Zc5KPi<_50sHr$-=o9?8sr5sNVZgbf~XGDjm-OPl=uL&M#x1$^q~O%L_O&N zeuq(7E?hhgz1YcJK;`|@(ry!$uFE&5QtzPyv1zC7a}Kb*7}Jr%hXhhPA07|$^d z#N0QPl@r75;yZRcZV`u$eFAlUqx6G&|#PYNb2xgeMsxU@u5xQ$Kc=$VqMu($NBKzf<&@;rND=qTy9Fe zZz)80kh88vz~JB@xI^@wpk)NDmM83N5C=_6dhlle{w`=~Ks&JRJBTpN*oT1YJ@C-^ zD-+OyPKqw@!7$iCEDt*b2cZ?{h&$@~EnO9DAivNYf9L5|Ikzw=Ju`O*SkOcNxxb%> z9I^m#KtoN9RY%ScU^i@8ge-4e1S|$;=#0fc^}YU~Oj~s?{26N7v5cqjA=sTeZ0=|X z!sICjvv#8w1Kz4Dh{i@4nwI;}Jo{?&7{j_b`Z?oCp-@~LsewQ~efyfNsAz^%k4ps# zQvmG92TY4yo`XW~_r^5%>Q`CsI+URR2p+dPG&OEBM)cvwBreK|2AbX}fP4=~z98%( zd$1&J^pD&CX$j%pF**pHLlikD2OG}-{gK_SqtpOlIO>Hzv2I8&zYc*G3NbZKy1E}g zB(|iz*@))Iu&!ilSWtVO?E}WsQ0$M%JZM3!0P4=)zkdTmu`PG(bhk;mjC$ihN#RW9DV#gQGm_{OoPbqK7lcLQu>^E!%N@`ehAuj5y;B?SP{R7) z1pbt&HqSL-ozozY;e_4;pDLH;LF|bZC1|LS^?nD-AhvM0$36``_ZIXotbGMDb%1|$ zJ4ogcUF!i=`iGHP;%})=ly7^nE$r;ll^+j%A_=~g>$Yy;;2?Vr(f7~R@Kx7;_&HRn z$lW-}jL#j}cl3wZm%~j|56nNtGH~Jb2sZYVEd>c3NIr$aBHVYMkmpY8f!gocDsJF-lOSG0vz`wT(vNI~3mqU=N^e3x5^ z$r6tpKvd&#q@J#Ly#wr&bstFm3eXj%?jyMn@R3SaHp%+d)=5k^>29*m2BQ@YqFy1L z62~1zS4MUfuXTp-p|bLj)=paG1UOA5#hKYz%HrunhcU33d&Y9p&b+yWw4O9!(ENIk z7sJtk^E1uAcnb0jP*9`e;}2wAv--cU(y*eh62OZp)Q=s59#t=eW3%QGS0Q5`^q;cG zPO&mcV1zDzJL>Jd3|60f-3b1n1KSg%s5ZR$PIPp={OUMWyck2Hqf$WEpR3SsGrb;q zAZD{^<6ecPmT&3bvkbD1X|biV^CaD+fd=+3yivQ(T!*?E<$*UKhSA^zO^<6fdI<`l z64Xef@+4r~5t{>ad>O$Uk-G4V?P^vZQlkJhk2tkeO%2q()-0L;Q(b>=*OxlcGO}<1 z$`S4usxLoAluH7Ff+QBcuZs&1U`?Upf|&14czA-Q5)&A_M5oo?l5calVNa1^^mL^^ z9DOeu0rTo#2b#ednk`^-sA$GenvzITkqbfJ*wI((^(=LgZdXU`rfsWz~@)z86C z>NsrQ^Z8{XxUGZ|G}NM_3Jn9=-8Xz~C-rFUfJ@vlFRSxMM?9oJ6x~BIb|4RzwTaKKJ%-ACjQyJNmO{NBy7Y!0bi~`b-rMY&eAcUJm(QIamw)AI z_09+N<8NH0-z}`%vhrS3cK!ThTanRhI(gpuh1VUa;THBt$RnlhXpkpu(jyjbXi`Uh8C1m z&q5aqs%97+=-4_?!TxN|PVy5zq^x{D%>YH()?b8=XLzJeoMfx~A!fx?{pZ_v?`}fo zx_kE+sf}xW)=H{|M>-}+VIwLU2-{r{0i>jycjZJoj&=5)FK1sI6o<)kqc=ZnuX;d8pjT9V(p_R*y2;mH_rZ=sg*6@ z2G6bSAfAI8lJj0wWr2Db8MSox1H-_hH6n2wBWW*)YT+T6?2bOkzNNXdk3J_bHJ+_mQk*X^-(Gu+*CY*FX%7Q}6d%&;d zqJR2>TbeN-wC?Ta1~8{EC#>>$hMEqV&~M6nDT?p#{Pki%4y87{cL$Bs)dotEz(=O0 zpCGk_HmuXyY-D#Dzr6*O_N~--;U?xyk) zc#N68_HtYIiO&cu39)kCOU229?jDAQ_xT1ox>jD}0w1D(NlKFUfYFt_+d2|SD3Jas zMKsA59GSm->Qbbg1S>LK!P@o&`MJTzP1HpW3YV(|?w?6HH~~z#etk&OJJlkGsR17* z%;=4S4mY?kANy+Q1>OUoa#bP(*MGo%Kl~}8-iuXg98FoPxu7&wledsyMVqcKqtTF# zve6Y?j64|?Gl)#qbM7ajV7pe6dMN@a`HF;J6>C>k#4b(no@fv;-d`1CEFC9oP6^Jc z;hIBe8XF&1lgC?++GA<%AJlE!zOIq|CX&HCKEdR2h+h2||7zJ1H!cHihPo0C4jdc< zr^up)GprY{9JnW!YhH5)9iG=-mfI>F-Jloeh0Ei*Y`|!Y+js6vOin&*;tfAP#7d1e z#fTT%7BfO_-sE4@y8!xNlj4e%E78Z&m8eCNxg#sUNoSm~1nvgXN|eYU>=$$Y4tX)Q zA`>N-g|NmT`7p>J4Dvb#seno(+!2p2;4APeN*vYo^79iWl0M`n;D0yn8&xkNtVG6|h%YrHqznAAL(u zYP=P;DatT`Xf#Lj0m=}KmZ)btxVX%~A_4hku+5@MUGUNZ+y)_7a`Cs1j}M9+4sZp? z*a{#i2TDS@9CEI_3!g-yKmUyMiGkIm-M=x2GHTOLh^c42=Q}^$0u2%#9)9m$zRPGI zk}&iUk^V%~dp2<6uQdufI4Ag^!>S$R){(;2S?PiHG`MGSkK!qT(-{~T)Kpb{84;3q z6%F+RnkAGyfOI1w=e3zwDm**regLFsGG?=gA2nS@FBMr(zvaeh*pzlss^BSlvM(F1 z*S?w>?+9gwe{e7g{{Wys#pg?ki%|&jV+3K1DMDpvkLM^5asYUrz`*`Ju(*#oR$AZz z?Cr;JS()_ex7Kxo{VkFMm-{QedkV zFnq&R_=R28<^2Rh63p6Tgh-}tFgQ?!{vJpLp-pDoxDmdfZ)Aj>m31z5dEp#fj)(|l zc@y5pg^aQs!$h9j0a6qXD+gzY2W>C&UPd-Cf=%M{B2Fo~fI62eWv~JgB(gyZv1`?e z6)2FPP7AXGUZ}0T%Erp-hDAYLrwj#b0290)3sdj|3_aP{j`fF%seEU(z?{b0gAUNN zqQ8Q3zsKI~+vAZYqcni`TW#HKUX9e|5*qIy@Y(lSm`L8A6|n!J|4$bTA#QHwAh&)M zs_qjkyyTk!NPgd9{~n}NLvHUgInJdk$W;rtjp3y(wjVPey^4%78En@^8RL`N546j= z)qS{3b#X;jK#cY>xKzSg#pp^_wEz*f-kd_bUz2u8inTgZE?%AzL*R~pb}O7+qEs6I+1SPvRqDGB}ejdtNisVW9kIXHQq>tEyc z*|9+n@5#UrHeRBgQuy}}-jG{jr3LMKfj)YhK-_(f{JI+>RE1wnzWtzyhM>@`UL6_< z%}Cm3Zh@A+ZT&$WQ=DeCz{Ma)!mUn0VN$D3JxDR2z4aUs+tn3fZ+d*N1s`lcd=bVA zJ_KZLc5Edrv@VmhP#$VAC4(y+C$xliq{q$SN?Wedo9UTT_O983r_7??dOhwmAczmG z(b_fdWkndSfB*Md__$p(5F`3A5pD`b2U`C<;|jKzh}uI2R1R13uhwq=_e4lzBEqmr z6BQEaHc%41JVH9&e`Z%h9B@HAjH00THNOe$3VJ%h?99*1@X2h{_W$?vd{+U{ReNlR z%7?zI%v&Bh-y!~-CrCa}i6c7%VDspM+J%ng1m3HK|1&&6boE%y(RMyoSzmgVDv6u~ z6th@@l@pTQ-vf{e+OkX0uqVrc;Sy~YxGC4DPcNx_oUqBF_M4;D-l3#RmE)IBt)Pe# z@j4H@!%Az2Um_769aYXxSr&m4xAUpFd;BY-DKnb>^)kkOS?l-53Zj0Z2={&UyGAEwK@J*y$70REx2WWGd8 zz*sO#++(f1zKrOWyrigj^=gG>HxL!xIQDd6GZ7s&v}8m#`l4(xI51IH1rP^qKVdP7 zcj2YI&_R)qL`c-v)%^f(6u~*hV4x7F`X-#DmpXEeybLAS>DH{VX^i)4($e?Kq8{9O zi8it9`aE3UukNDAhY!;}%No8B-9^P$C6q$GNe}P$LLpxDEzP-z(9oB?D>T?K^>-s{ z1bm#Ls>0!Az2K_o8)(Wyv7MGS=tV~v=x$J)nVZAw9<&Q?N@Sp9q8dV!vxGMYT$R(z zMe@iecU5;5Kd@>#G{jG&eaE{)0PCMvWYNbtCSI!Q?)HRdB44lO#I4Xwas?bO4Z|qq z{ET|hT0?jvp(T>6p|s%>2AEkbw-tnXQawH$>?tYQ_+^mnx(?$wkb=rMj<6W&_uR9E zSy)}f?=-0WVq-a{nP??!!J7aZkunCn+zRv%8W`RIZW;_dBGSgDr}f-coG;*m?r_yE z64zb16&|HS5cjoAuzf9W4UNo|&VG9Ud-&D)LUi9ggMypH$8sn~zrBm)WM<~g=p#Y>X%9?}w6}mbY<}on;2LcCrzaO*wc~o4o}uiA1Tx=h3A5wLddc zjFy+GB?KP?1_az;LbW6O;UOs?9Gf{mdAzHjbc)J2K2>2Pncqp#sF5>^z9l4%TK`%q z_2lD3LU((L!Xll(l!6geG?g9=O*C^PZSyA5U(&#*I^b7(#YGra4suw~UbL>H{Bgg3 zyL7@|(5Li-E^$u9s8Ragrzj{IQ8@%Xv>!m8Z|Qg`&x0bl@tYUK0#thzApg4^Pk{AM8F|EgcF-F^%wm9Kfyu&8ZNi` z|6=S+z;a%rcK)8Om50LXqqSl_^tbq?9Nj6d5uVie#qIn21!8B1z`CL}f_E z3?VY?B!ryblRenqb$#a?*LSY(e7kzz|L{EPS?j*;W!v zb`73}oBrn~kpo@js+I}I$O|$~>VHoz4j?{_t!sIl@8N*?_YksI^j9b_%~h6$g&9oy z&)Hz#mY*2qDhDg8J4Fz5{{5S~%KW4|KMB`xim>|6Pnz+QE__|WXsD-zdTV4?ANvH@Uugu%i=#^3b;2ED>1Lm z%hWx|qWAURj$cdq4LSQY>GDVS>`UA@)wKkd7Le)49fL<*(J$z`TzR{qi$cwy5zEHv zBwIdK(w}DSDtBag@-n$Z<*(@;Fq z{)fby1dEEJ_UHx_B`(`z!zvMvU8{a2hVl|R}`OLgD= zBz32x7o&n|w&YxUUn*Ii82esd`f75t)#vM_88K*2(r-#tRi>H zr=5fi0b6!jdgV|Lxx@jn{$)bT7#gZPQsM4UfJ)G=l&YqVY@0N-r?y_PwJilANDl=_ z)L6eZ&U)?JTbFA{iEHZ4A!OSE2R<;-PLC|rc0-(luvfz6qiC#@S)A@Fh$B#%MX_@8 z=I=~h2C^Q$_g_^TvT|ka;Dx-9X_J~cQM;g`9jx$DuHpi&BIOz>9Qa2O*Bth|7*2ix zCj}$&))l3s8tcaFC4$;m1n3iw}h__%n!d`r|Wp_5CllOvngVk0IMW<(MyWyFiJrXTTCH^V)4x}KMwbxpWhyfW>W4N0S*g%O8(Z{v}bJ8n$mIIq(s<3uMt7$$t<_ z4d~b4SQ>a0daT8O+puK<733G_mlmEuryf1=&Ap}{e4aAlWLnw>;A-lWFI)mbD`*MP zV=r2(Y2SbFP3`)i>-ttpmXf%|x=Zjqyvifz8sE5aqpgXbhn1BT?I9$3bA)6gy1US1 zQI+yEKv@0Hj1OL+;goCbxGWu+0eJla9^I6kfiEy?IZbwheSpBqxk*ZCoGTr(LRme; z)2`?h;omS_K@?*~Da^*E2u7t*16|aw)J@_*SoSn2FsysX0t|!u%zW_b-MiYeifzdc z5UsxfG)@`2|2mM@gr#4-7Tsu^xT^ep$FFZ@nY3B;DpBBXu>!85T#1thH53*d>Yi*> z*ie;5jo#fo{0t>GCM>!kF~-v!Lm$5okPp{p>{H+Y>;&+^ZUAeHu?VWgRY)h~%jeTS zXZ-9dr=ad++dkRS9}?7&UtwvpQra|Y)=W#wgsmzXe{bCA(Xpe~)y*AcGoL_--MD(S zp_w;2;EM|2F!eZ5Ve#SfLpM6aWxZ}2&r4oFYk^f5wQDUM*0XqEi z8a83Ewhy_R?!_YtfB3jTocv^2m-W^G_Gf9(omoT9-DP?Da%B?edp<^V_xPY5-}h$9 z_3cv)wbIkm0Wf9;sua!t6IVQX`EGvVAuM{ft}ngD^Jqrcwn5FfU1|)ej6YNmr;552 z&ds;+d7JQ-meNkgijV_ck=CD#r z3JUA~*zcIOt%VSHN~0%z3zdq`G8g`<(64VT(=9dhAs-z)Z4ao zcXswM)Vj8Gb*B(5^Tk=}x;=XeOVwtX>g1duKG-P%?d9)$%{AdKV>0QI>bCW&iH%$o z^hW~*=v)9H2vsN6^!Ra$;>(<`Kr&zA>uMQ!Mc=Moqr%ax$rM~7WX_&OEpd8iA3}HU zl5%u7?BkB_&M)+R#;z8-=UtGcE8FYp=nN2MMKnKoR7d1&Ip!T*i`Pw7mfv@2 zijCtkTLA;GMd0A9!bET|?=3%VF#p{zZ2dG!BxTQID#Hk`cp`+Tv;7Qy_=2*As>8`O z%iI_d(IMo+=g&A&yJa5%z@XQs>htHuDk^IL>-6*v=RL4%F=f30sqd;IC%VrG>VD|R z?C71iLBTVlI1pCR93ph8+(jbNdQb!V5OUhI+mJ^{lzt+bT}V{^@%=kuXwbY`x|NXv z+@Cnjav)EnF;8R(PehL=!qM5joAZ}Gv%U^KL_@!h4P{2B;W36@xe-JtVk;efKVYy9 z9E&rVeGd#NN~&3uivRC0-l1+MWgi;*%3&O z+o{EYq+Rf0aQ*2wN`ou84B7bB@vT%@$9+__3`^Mz!jKQ1a`EEtXfWBEf+pzC86oeY zkVHiEU0%0UTn~5q3r}ho@^l9Rh`B&x)@WCk!ND+qSc+ zlf!#WF&z8#vz&upW|o!XvU@|mje?q(KCc|d2(K|?iul4Fu2~!L>?bv%jmAakFvifz zKMxF!8dH8u&P1Dq3X~kMr_cmO4A#E(S5v2OUpzL`4O<43B%F^1pSShep`TzoOTo{G zYGaVvs#l{E>}zINDo`*yJFaIY*&hVjE3!f>#{#@L0y@QaqDp0`ISpU8PI(O0VMfDUhq@*eDJE|YnAc{O}9 zuN-kLk8aERjV&}aD>-~lWMz>vJZ<~)%V3Hq!HtY}=55SIaV~5=u znr+}6`|Tqth@mR1830OsK_{TBSJ&;|{~Nq)pV(%0_4v)JjzSCq#2f?6W@56SAa1~N z>ws4TfY%pT7i)SuNrMGfv*K*Qz7ef-E^x5eS{N*umHFMw9O6K!khl#E8nrZ&lh!H> zLxb_ED)|NTU5R%`?`6&~5M2h{er(zHJtNBaM8MSI8G|NV?cN$hZP~Pv*XnN04-zsg zR)HYLjnj@l|AJR}-pqQMP;7*GQ& zU(?W}WC=2oD~&X3MPEj88BirKjF18XzJ%$Uqd$Hvdk&%+~b-OC2r zl;oed%`<`ewpe8V-E&~Z z;!7LwGLkH)*Nt(Zy$i;Q_uGVyuQxAVG;7<|0{d%BD)$sFAZbR8f#U&5>4&4m6M8TC zle2D>Y75QQt-Bq<_H_Y>Z-{zO?Z;gtymLAJxF``RU}4BD=llEPgV{s-N0c<4Y@!J# zW^M85+M{euvK2QZsH6)x`7a_L;8rl9IL)o$Q9UL{&S+hV{D{(D51=9+957C9S5U2J zuo}7Dq$ghgAo!&In>TCfT!2d4YcX$&Th4;fH7AbaLUq-EZ*SYA$;VuSL%!&uNChev zt~jeMlNs}*2A^!4Son7tHtF6tBhG|_f+g|w^_@KV`L6`?O<7qa{$3%>`2b}~7M%xc zpgbJvlr6s5vvVW#h@d}dYj}LGR|H~7 zpy9!wWX8X)_NB#77fdJCta11mQd?7e8js=*p!=i_d=oZzcVRfPf_~P<#Au;dAZd)e zSrf|%>67=r@(M{@;GM-;XFZ(pcqEj%Ds70xPJi`JixUa<47vo_I&kS0PA}kNfoOIJ>Q;emkC}$Fg&uI z?!D^z2Bt)PwTCVv_nWk;Fi!EF*__Z6`ECpG+Y(KaPx6NMsPgq@;TJjh2-w_m4U4Fa zx_TN98V>3HL{rP2+?vL!S7~jpyUJCB%)!BLd9xd==-<#8yOvW@rD{uz5S!f#=TZC% zNK3f@4!-Ntq(pHOsLy4`B~KYjvqbXOhd=yhVh)c?RuX>I%!(qt62 z#$!19|8og01ffoVF!r`H{JF({fg8))>Q2G0!TRiad=eSezp$EgdjPU=cm>Pb!=L4n z(P^P+R#z`AZSkKA6*y92BWO2C-;at7C#Qt{!JAi-fRhB#jwRkMYk1B2_4A%j>HPae zc^FXa7(YCK^-k;$eUFa0%D3p6;@{wLr~IBQPd{&|$4e?<{UgU#_oNH9(HaBT`8sqY zsYkC~W5#ht9#7wLri2F4yHz?T0^+ukQg-Y?xiI1E(9)1A`oS}_o!|f|+1y zj^dwj3dwxYSj#}jR6LD09jS=PDxxZ^1LOM)uv@143rO)$xz)4_kL#}X00q(-djPv> z&6_r5LA2*4D`~iiCm*=J!@%swbXRPG#A+CuH%4?tgFe>+mYiY?x4wze_TX2?IupXvA`-awcEZ zR9Ll4nf&3Z(~f}&dlM2K(q>n#S8DV9#}6{(ZWhm@mq;Fsy)H%47mpXI!v5tM#~C6+ zJ{!67oIcoG%SrFEbZ5ENxDx*|ADSO|$0CLeY4RxWW$T-(D68H<*U7dj=woO)*yX@h zq0&3K&_R5M$O{CLB2|wyO6tA*>g(u;HPXc75e~25w)Z*ZHz?ii+sY}o|M-D5dW|*)E?lT@CNB-+|Gs#;?%$su zE%U#09__Vwz}cSoop$aau!_EYnT|rM?3~UcrL<%kD!~(1@^95DQOH__A@RM=Y@71q zrA;3^Fq)$u)=jZB0}RxTd7tILYyEMxl(_xiQ|0Dz^`s@Gx*qU_`&_($2gx=B+;zR4 zbp07vC+rZZU@Jq9;GEesJF-!mekNATxPAI1NB&=|;lwBhpiybNKn@g(O`2_=Z1tormn{$?w+ zBaE4p?K$GV5hZS^xKN_dBWFK-STio6Wbf|Z}nP_W=k*E{TWx)u0S8cM)N?Yh@A@K zfUoU!UpKaGEdN#~^~_a~z}qbg4we!IOVZs-bg~2KwH)LqhmQEMd$~s3jL9-fGeJY} zpZlQHx#?CzMS3^+e4rm5MP|KEDme#Em!vw#Ua+OXJArJsH{%LtM$VrlgGKb=;H)Db zq#BsoIq@k{!Tur_cspsF4fkC4M-w!hN<)4z^zmaCc1rF^$#A|B{?GZ}hq8{D# z^$}1Aw-;0*@N+aE7LpA@gF1YjAz$P8BSkkTCFcM&gyWR4Qn3Etth=-iy}+cJgA>_G zi{}TMn>_1h00cyV>&iSYDt!PYbO@fFPr(TpG(?qZJpL{Pg2@9!7>OpFftEvzru=(xU{Tk*6kjWVHyi)9z}61 zFlWCf=YTHmzt~Z)#xpr(%t94}2h#e#SBYf%?3(P==H5Fq(y2Ic+NR+N$9i3q_;GRV z%*~f#l?q<;p|bKdk+iJN1p<^(wSl#dj}LeY+5fJns7x|0PK+53vyYMz35s-r%a}3g z6xLJ`vu3>~ay3v?T(n>T{$}_j2$M3hUQX9PtEwU6Kt3TaI6`Y- z??~`ZAafE>C?8z?<9)m%8h7|i4yU;c6u~C^)b|3%{V{A1$)wHSOR7s_bQ(e1Q&Rwi z+6z-Kz&;J;WgR3RE{C@yM>__TOmV|CMSOnJxXmBVrm&Br6;hsiI1YPbZ zhLFIoa&;8rXD9|3dX~ex5dxuHJOTxfLION&)F=xSxSYiapA;Ku=)&#}saX&MN-FRjb!wYH1Ye#t{97BR&aMJTT^&#MfC)+!80ZJ5izrx@$8djvBK z>H%oTqqx2B<2{kC@=i%V!mqd+pS$BS@KGnifOZ@x6SQN)i}n=S&yT^eAYx2Ab|I`lZ&Aup!c@}D@L@;P7vi7?^>8g1fY7wy_v)kI7s4#7rwMExn9 z-O8Ig*ol?;vys*LKvS1<;_r_+ivja*2-P&TF;54^yTd9 z+M)fyveR1V&w2RxaecwKUWo)sr?A?$xH7AFxhHm{&Ij7$G7#&D5(DU zgD|t#apI-ibX|IrwpC5Z!*uW6P$o4rw=#nL$=Lw&O_W{q?)Xbql1L%ALDt<3UK7^e zJ9k%|-boeuMzLO%&7UZ9KqHn88gz;N5Q&GWHQmxO_{ff;6*8Gjlx=p7rHgNEbQm6cCjy`Z zb&NElF0G0Yif}pU)z!gmmrSnNc>kwmlkLeVN;;s|-9m(~Qb`TYw}{ZfEwYCMwt=yP zuFGLf0$+NM!i4vhk5PjL4Q$8z&7DhMOg`L_?ddV!{aXq#DrPb2=WgEY&A2Eff5weu zI5A@+H8JsuhoNA4d(CQE(C4U^tRcsV{yz!$-3=x4o1yrF2 zGP0!$d|-zT7tXE1Q;Vb76}3G{lA+tKojb|=+UVG@=M#)cm&SOaH$7c4Xzie9SSE+4 zqe+-Me}1&1`KMdBC?o5)opSifp$PLFMA{FgC|tMR;WChlU3w!lFe3St7PU{c98XR` zkvI4Ct)WUx2yovHn8+!F?YYQaj?IGK(lR_#Rg;FZ#+xY^CE~e7_{=p(m^T|dk0L3YPu6kG-kdyKKsJv|$|y1|MkjJv`Lgp=qxc1twA+uGJJ%@Mqp*uY>Az0+TW zs)2nzVZtN9;NTR%PUCJ#Swy#z>PmVF`;}TWifb_Kx;{CwB$Q0QQgo9B{t7KU^ZMVN zei5iPfNX`#_=fqnYY!iu%*wj!W2CI}m;U~y(>_kT{h7kke*zpq5n5fQv`ole7oKy9 zyhB)N10UqL6RA$CUt4ox9Cn2eH#fR>6BUL1df)hoHV zm1OguKhFYs;~-qJWJ&%6x;C-{&}X8UXw)e4?EMDzqYUcSL~x~m zz3SEk3RkwsVYUeS0#`$ic`I$F@J_8TNT8b3#7e;A(LcxCx-{+rP6BaHYv+xEs!QToXA3AAzJ|&~<;_ zNS~%I3VvFR3gvoVkR|TA`EZJY!^T~^EI8D0VuM>}{t%%>ENg*la{YT%4mgl5egC-Y z=XUJkHjLgqdfYXA&3DJ;^Go<-Hs^6pPcmdY+?ebr+Oq(4htY^C%Z%E&(|qaoFW}YN zZZuqnXtvR$`+|~%e5-!Fm;MJGrf(u;hy-D^y8a#*&_uIrn z5ljXisg7yVlB8RErFFm=dC_YC|9~Q4F|B4+VSEaUtQ!R+kBFAE*j`@Y>Ygm3$eKPu zQ1U_nK5~!Mnjuj~8hLv{5|!->leb`Gs(l`CdEfh`s-szfBVa{9JyTOO@!vQJ#4e^?_S zBb*!mzf$|oli*2t>MAFkFC$NU7lljp6>OJae|3HKJqBA147a+b69UVYCH{)dpO-j;bxGDjDPqTJe){&fs64fdU zra5wHCQVay9Z1T@gt~^12B(IGhjFa;U(B%@U$s@Nlf3i>JF^-j026yHf1NTmuH+WpyhZ*MhfL0FTbk@?) zAVU{C6ZRk_FRb~#9d+Ng<;buebAl+1y1U&ue$K6ih$%ES7!`2y_lk>)+sv^t;2n?g zosBvthMppp6xyFFBhAJ(W>I!7k^M@j+4MFvHU! z<_R@}_jJ>MS9YOqYuq26{#y%RskU7wc?eZThrYDcXx+Rc-(}#vgz=B2j$fL&ckg86 z{p4~eP^fbk$-Kj86dj)dkEide7~VcvQWl+3qB5nPuKD&Yh@B}rrBwsK)^zVm>#8F6 zFW-||>I<^F=8#dJK2h)8?LhaUt~kBRy>g|?58s6gv(*J-)GU+Elx472!a9&TY@Yvt z+dJ4_KNpy@3=ie18nE`sc|7$hFC0n z3cmoN8~ffZXk%UX0Mlu%8##DcGxlu*It`*=v3_r=`(XCS$7p@4zVEYjopemQ6O5AP<8I-=+9#`JuB;oX%A)*OM5Dw!K90*<5_6lZF6#E~ttDDXI+Bec}+AxFNo z0)LW9+ zacT51x^(&S{ZHL22TT@u>$KAU8$bT#0|{Z~HMbfuJTv4K1KF$m&MsG&x3sMttv7a& zueFgxV)JbGqWi=A{1HkT077O}A3mhLIT1`R3_U4fjRf0OCwN1EgGx3+orZYb?%kOT z+OBu+Ih?nofX%GPtZ0KQsK;-Cs$`t-D4k>Ux6YRuTF)NR|wqoF~0#sgnB z=ovXRsRt!3BIWb=lIB-k1kr;~P>OC8OtJX-ypCzo+7$Uj#447bSkFpyMOF)c4{Ch_ zgXysDKt#ki>NnB^ZIU%X^51k4Zk@lpZ&%uH zU~34_k5~3T8rkS8gSbh$b;PbA0dJ&s{2pbVhBC*`-TI>G>Hpn__PvP}q+uCh(x3D4 zI~H^-s@Cf2cJ}sgir}r}^9Lw4^~_q{q7Nsr8TvvIc+qjx>q9T;3W4Y!Is1#e<;K#! zr{hUSu8?u=VCc$~E!PcdwXVT!on&X4Iy%s+ci}=zX0tOrcS7W%TeAPs>!ym?c#pE3 zZ3Q@Qe?4>6t8=f-ERKk;V%G(auo*Zoc4^+4b?eGbw5eDHMY!n8hlxXnt}YrI=h5v>~rkL`JX zm6)EvG}y(}1)~UZbJ=#q?1_2l<5 z5bGXl(DQuKRDai(DgiJe5R%|?d^x_CV57*iTcCF%BH*8y|wm;httIJzFq zpRfN3F=_CON%SbixlWdS61}92_Nva;?Iv{~-_}+tWs%shj`)-3LsXKX? zap6BVq{PcEFbDM?G{%H(Q%88uFF{xI?*Y`Yc;(*zJU2U@Nbd7}RSaqo)4T(Z!;LAAjPE^J_M-)r&I5a1x#zucQY2|@ zM6;+K?x__W7D7~)E}#sloDF@je2dU*20w#09I8SlMDJ^&IF*N=9)U?#1}F*JpdHTI-pXHYep;>E%EaA{}XLh(6_gJ0|kqUVj50S;OxQ{<##j->J0g+e4*p_CP{M_(1J+?@5T8>5KhqW)86_I2WpzCcubw@-Nrh3TZw9Bm z$^lgJ6 zx|#u+;a)}d#5xL+lnYCY!Q zYWVZh?_W|<61gb(%+EoN{(TUpANuz?!m{L_gm`uA*>ki~;cjcijP6hIwQB{`g_SVQ;Q9;aSRTKk zf1UUt8UX)VQ}d8ixPEr&*>WAHLQ^ZFsYQFMGH|Lsj-hLnyb89+Fq_=)3Gm`u%mC{Fyso6*PB?~=CeDP znvPpKgqwXZN1>pu<+LvP9(=abVC41Vxwc3NDDu?fc|r-hA{}ju->1g`9l$M%Y1Q=j z0FGLSehM&lAEWFOClHBegXmQnB#Z!}i2QsU0)wpt1zS{9wD;4aM~{FaAM@^U90M{$ zb^aYobV`x}_^0sqF5jlzNzr?p-N2#Uj&>bc#3YGvjp?Z9yJQHb%v-`Ko&^_VQ@r!i z1)B{=$EPISQ_P*ezemQrAqHSx1`kG(6MjFj^yabcyLR>1vBI;aysN$TS7U*hD6KgA z0WOe5GW5|GXkv6{i(#4s2lTeQE8P$D1Fff<&jFpo^Sqmz9JaThAv7BSF#W{Da?yA$ z6*PGoev?FH=*W>#H$&ZMwH`EZpvwaK-h5-pDN!?gxEg3;-UOD{&b9L=62iTWFuH zak8mZ?sr#mvZCcx<QeO|_*LHuoCq8itmB#P)`J8Jh( zP#Y?7{(r)=7KLy$9r(>9scLV4Yao0Xj#Yb0hqR2uZYy$F-;(qcsL!I6<1;)65f0xh zG1`JVK)%q=Hzs{w%64!{R_^WFb7@KS9>wdgIDENHf7ollsJ-cI@ojAD-A@Hep44M@ zWeX&1B}02taV-Yq`{iBh`>9oEM(=!m((5sPnu+UNT&JQ@2{5*DK7BG)>DgD8=HUws)^yy}mqKo4Xa$qB`-QWze;!xx8^i90yAOXqmA4+l>CjbC-dV z(7g52>;3g-@%s0FE^|Mhs?|cf<6QlVUrbms7HQ$%$ zQynvYYmM!I5uwAEpX(@-Yi>DUUdg7p!4qG6zWl@J^w;a9hS#>2TwnYsNbR%B3-j~W z`W0`#vHjcL{rjO?^+$QFOPW=D(63S+%!Fx=T*Hr*E`Px||X*q%z#7h7{z4W;_RPYU;xiFdolZl|Pck*)H&*P+Rw zVNk4q{7X?+Q5okRb8>VvUsx3uWM)8XEWLu_0{oo^FUEx`AEv z?w!Gl(CNhx`u4iakEq^H^9g+nL?(RVB5#x&zC8~_aq2c@?}mq!jgn5CTFSY-d-rbe z1WrNGCrSIR+C#muy?pN)TF;lewtRMqm5uzeIF957uQjB`OqFewt+Fqd=*GW-lZGuw zsVWAH7?IB(a-zl-yUHU&MZSjY)2o}wn{!Uy z(J72II83a!2_R9#KkTrxtAoQ_;2B^$T>|^|@9kP)`Y>vU_@{JYT1XgcyB}wcu4z#1 zcaogmy?WW`vd$*Z6hJWSpt(9aI=Z4FGcr^4q*C zVABv@AMZ}oO))Xfqeq{8H|~a`@FR(8DECKWPnk~=EXlBHtyO{2Ghxac-1qsguHPph z_B*q<;^7IW+ELr*KIxdzN^NZzT^V^xyEN6*^qeuHTeCGKCk=l5_#t~Yj8OtNy3c5V zzi~=WL&G!}*ca}VALqZmRnAn*qiJ7$2Hpc0h-t%aDAuuCSVQ5zmJw1Q= zus?iw_3*@J7OzHfuyUA#Wh*@K*D7LvEj<#B+LEN?^d(<=i%gfkQ1PbE$@FtCZD`vg z=xF#K^o;=KCVvg!L&whP+GFtG%QQ@Z7h2~VZ(G5Jy4vOjzN^7zJxB7%i_Rg*KqBEi*eyIU#=`ZZ5Y}uq;+j{SaC5@NAplzL;nqd%odK*3p*1=Hequ z)$n{Kkr=*P|BOrXrIzXP9-GyZgS%tMTwo!7lp_`mi(c`G^3QfIa)xGH>3od4Up4vd z86@erK55axK1Ih6@O_9@wIAv?N9Nw^1prU)&W`P>ft9nT=J9|HVrY59$5YM zwY;g}tvAc0Nh~i_VGQo{+t(JfIVan)aB1s$85a6$Opw4NI|itFrYnRTwWAlp$X!g0=;GUa7i8P=xXIn6&cZ@%WDkU&v> zg8ITlFZ%TQ6I%i+;quh;--CIc0R!?h&2)6cU~)hgdi2;R5c^;Ft?ARJ&%HIiZf$M1 zUfsweQ$01Ndk2F8lTAaauz*$$Jx7@V;D(j}`Ndq(c+TK1d;J*!{s-($L6oWD#6HBh z)7aRUWP#%7K44zGdi4hCZfeu#tPQXI*)qS-zHs*&Aj~j0qnRCZ%}(9A%^(W*IQ^Y0 zHQkiBD*N>QaS+WfG($}x>@wmAAs3%d4+1$v@|)}1y7R8i^y@Y(Kv!Thv zQ9+SN1=+1hBz!=H+3!x5i`P?kS1-7$F5FcX7NSDPa_`{kk{W;1-Q>gF+f?z|@c3nL)ftK}#JOAy zFS}Db&QZoep%WchdH&~G)F1m9UB;bTw=h0h3CUf*J~Yov^e(*V@!)Tqcs#|_g@1C~ z()hMI49fu=L2e-`fs$2g(d#*14LsH^9_;Y-q~61o|GGt9B92owxZt8+OdrWTnQb@LDX{`8Szz-I5Y~pbe>qOsRgQu*Kt*ru(jZIq~v)Ci_9* zx=bXEbU=X{)}>pwb@$D;8C}r#_|8jBWMK8Zd*hZ_(vjUXbSM>I`*^0xvfz`P>)lTf zgHQuEA3N4}QLtM!vkaty)+`@>ntt|_n5Owh{shF)zhek4ghYhKAcIl*-Mf1ao=@5~GkbasYvBNY7!IW##<=2xAh*g} zCif4#eWI$d`ImORdd=p#a<|}(*tS|a5kO#;Uahb0n7wDuBw?UCc{0gk4iEAw%;@#K6rfl>6O+I5C>+{&5jW|L~Lp57VEjt9|hWg#P==@}>%q}55 zez}>Qe+)XES+A$DX^AdNK9mkvW|@Yd_3L4q{AL^m1G8pdJd)h>C?P^-`=8u1VOTziQpDZP?=+0j&E2dEjc z9yDona1y0$($2@=E4w?Io1Yqb!{(y>mc^Xge*Uu6UTA^gTU3?(MS!7e(JtHUgAZXvI>^J zEo${(SMlxJ1j|kLP6VvBNoTu)RFIdBcXk%mzPR)=j(pA@mCCMzM~hRfYQ=p`vyL4H zc4-R39~p)*eimsxkYnHMraxylRS?U}V(o65!RzHcuBoSL^97)_{v#X`h}}sp&`NKTe#*Bz)7)*-nUmfEU0_jYPJEA zPt%nOy~nvu$k-ektG8*0iR+V(e=MpV-uQ;RO$T))MkFkSze1>PFpAYCcffz`q14o! zCjOoQ0Y?}KM#KQ=+!~-K1kdE1Te4?pqBHD83vkJ{6%3&o5 zhTbAUe$|BQwo^=X?K#r5ljxOXOKPWn2m}lK^r7n+p>&2AWPi|db7Ju#p3Cszsy`kl zcW+sRNM+FA!H6R`Ag*4%y#GLJ^)(j-fcSdMr5+4UtkycL{Gr}CS^K`UKTn_jhM5E+ z1gRcbP+j4oD_rzIkL^=-lQpz!S4tI3hX#=LB>x`mL*P?-hxu8Oe<_%__??BuiUu_}(7c)h${Y)B3B+DF8CEeet)QW{cP-d-gm7 zL3QZ5Gb(D{_b>j-ESbEZr{*a;wfS_X=3Hb$UYj>YqpGT^9pZU@cW&RldQU}J8Fl0U z8!)2LCs$Gh;+Qe_RlyUs>)H8zywL$v2I+DUKMFW9hI9}kC^YDlX>mBbE?!%(?c>Zj zl6R71C!AsUqZTWk}knJPw!)3EQjs8*@9Hf70@3dRWJ6T!sEU|rm~TkSI!Y& z#E+RXNp4a?)l|1eMfD-@zC0L2(g-8G^pX9rVZ*xjIp=)EJ?rCRM4~(g8zY{ifH+de zO4?%^Ik8I_b)t6PAk}8@;B7M>+$W>P%3-(N0s;fEw&ec(jGtl{9{|Yq?c1ME5lzI- zU7M}BnBFXNm>3(2`F8P3vw>u+Dm`-IGP)V+R_yJt1-lkjbiH{EB%`seuD;pxKi@uO z(>b2J!hF^bYFCTE%I6>VF$IwklhaSjE}dcS7p^naokxzMF>p5%ygN-b6x8>DLx=i$ z95RX6w(ZTkcQap2NDR%JtnelG>Q%iyedb|AP7?HyX%*Vq+G2KLQ)SsDX$CWBlG-fv z(SJTE63dC(#l?BW*3#m5_0%K0x}>DsG`FX=%wX7kA}*4;@pDDV9AXY{2(3F=CM*0q z7;~#1fi_-V2?u8NU-f*FOqbz=L4kqCcbnFeS|%SnXdKYoXv$s9lW}puefJnK+t6NY zWl5{P2yvQaetcAD->cybe=JtKs+@T7&YgKISs;WlX7^!S$QE|x9ixrQI{HVij>?C_ z(FWpaSx!@4Y{cTDCL%w*{!P+qhUv{66R^IYR@nm2tdi;8y zlq4fiJMUNBWAyv??_c7!Z+LXYy&V+!eG=Qx(riz)S$dLr@YGF_VSsNTR=e%GJiqMH zoIx_y^9Q(fY9c2WLq+4U^YxoIb7s#b`)#kQ>#VX;vHsX%53&(y-;h&XX*{}yD){Qv zp5<~+`N%UV5z)~&zs)L1Pe@DKc(gQS%}yOIz8jlJ^mChCn%HJ|bFvBP(Z(J_zWn)S zB!6T$3Ms_KpG~H?RW+nCZp4Q7cz(mB)UfeBC0^HG(1&DRPQ%~#T_$hh`%>lxC>&M} z{v*V|Bm1{PwzO?%QUgAQk$J%*39NQ2{S=04)P3DAd}48^-@uJM)pc{^oLm za~%@Eg`C!LE$mI@u5FznA4lbGDC6Lf7Kk}qOtE8FXbqF>f`{=RZ&A6gZTs5?zo_>l z{E>5u?0V9=FNik0Hqa>DzFzg-(c+h>hdcJqrmB2uv?^9zIke&|X^-mtCbz|suicJW zX~$AjAIhx|BcN8VzM7wZ^vDsQD6QV!Yj^E(-*N{NuI8;<@7T0y^!V{Y_)e{`p+)aY zxwe0Hj2r?K+LH>9mWG1|4otnDdGOe=&sqM@2t^UavGmgsmpLNHZmuz%kW837QyX<# z<+QVQ+{vr00(yM4bL-adE$!pl|Mnn*O`nfCu6{k+=d$*VVp7A_bfj>)q(_l~0Y?b> zIL2^5J9VS%28W%$<6cCM@US~%WR%i7T`~FKKf&J|PdOPM{}fps0~j|QrPq&t7cX28 zXBt-$;XVV@4HDMX-Tg*w%E5!(m>bLR(-6nTmV;?HtjXF4i;{RW2W~JC^L|vexxl> z5QaAOnGtaB-aU*|XnKISA+ZMqQ6@7NHN_IEEctB4@cpwCjAZ9zBV!&eaRkMkG-=Xm zAAkuCj(KzEzAe~&o*8C?*J=&0LH`DpLo!3J0!YM~Fw#wVd3jFGm#ToM?dDZ!5Gw_1*D!vy5SmKs22qZ5c#`&u53n zv>hy1X4y`2HJWpWLppSIhvDHS3fiyLq;o6}(TRc?^#TUSkG76`$LOswqQfR)fBK-W zC-Mypx^+94lF~tUUg7F#;P@0SHe&Lc=qoKQ9+psqw=@d@&fnD3^i*Z8f$zxv{ZIU2 zU31ujxo?J!8r50%!P!Uc*n?UG-Z-=00};W;$a}(kn?tOEg9kh6hH4zsy5sEVxX)7! z7`$Q`Lz9q!b)S$!b5i$BLj)Q}J#prYB?sZxuc1~?$Z(KW3n4$R)_L4G@??!o1O|Fd zw(rRk$6H5(7HmLIX>hIslANV)sKtxyv z&4z0n!V(dnGH8A7td5#jX||k)7*n_99}5ge)+=wpTc5PTz{!%Smj4_|!QD%9Womwb z`MKajcV#-+j_&SlsenCKGSI8ReV20sY?S-DY})Us`D0uDkc1-oh!ZGX2~HISyH_}O zr8)zG3qaz+N+Tl$9~frCwTm)k-n>lgvOoe@wZ1cEWMpKZfjI`%$A$Hw4Tb%qW?m>- zYIm9Mz&6DOI&UF~jYE~P3E};W31yy-{%`Nia=u@g?O6ZVl;o4bI-1iTY zOAsD&xB)&@)p69Qxno@>`TO_O7@9C9>hYCkn@AilwTXy~yxMZq4pW(ihK{-t_7lb+ ze0}z64X2%)o306(z|*?K$-cVCI_?~bpuD^E?P_k1%O zf?Lteo1$BRmZ7iJxw*FUI=Owi+MLc0kXSTDluibNJ5^+Mp#*HFyUeom-8*KVTx=<0 zxJrZ>j+kbP)OqC^8WU&CXpI#SHg;-#H*65yBlrQIG;96s7-g*CQYEL-Kz4UnB86#P zZ71y$gIy&lxK_t?^s17M1~5=3@M;H4S-dz0LNCQkU*A@D)7_Git9|vGDAlK=G9!5N zk5~G9)$4_{jCy+NYA_o)@+e~QDRfa%96(a|1q4L63tnq=BEhtxSMvk*3x(!sYo8e{ zJ!J|2hBH4X>pX1Oxbf-v?D9W;lI7_n~TE`ZL%028K5lnYkc z>qnZ695$>K_Q!Jl>q&!Bb8=h*?@q8A?B=$^x$B+svB0hH@p-iuq64`lX~{H0S2ohY zLx+mXKcWgD!o8`|%krFe)s~~5(rXd_4|P^o=d?43q%t$Bd3D^l4Ku||N_NL2>Cmka=6xPPYegys z%s(E*Afz_78|aZ3Nk_(lqA!gyEb;hC(2Rrbr)zrq2axV`hTD z1gnEi9Xn#M1?NGND<&eM7QJ|JV4qeeJRm2H+V?NwygP;32979uQ7UZi!-LvJE6K8q z+PQCB@u!FTdi<^HqKG7^jxcwHhFzO_Bb(*^YG&DkUYF5S@Qmu>T4;DWLPU%ABU^Db zb!_dVL3?g^u>rNjzeLZS^lPa3x0Qk~<>uun$e$(e^}fEn{OMEONZYydJzHBVwAA5= z#I^Xkt<&;N8y_dA)R&)kexRbFV#R&&HdU>m3 z;CFOYQ8v0dLdbu0T+@+9>unGON2ywD(pJ_Tq`#4bYFgQ(P>d&&*86Q-#59 zy)>y-q+pBZHa=GpedHexO)c$AZk;f@aBx%Cg<60koX#zy-k|ZsQ zP}BTt=VjD`(wV*@V@>NE*Z=pk7s^3*#bloO0wxuo{&i8m-u^x&3D^DPOT#D1?*I7- zze=eiNo}mN&RP8aY2{W~5HYA-RG%pC`aQ|ocm40Hm;-nGd*WHDIH!>l)vP4_{>I+TA9S;avG;mh%GOj7)a# z3HtlM*}6ttiJ?{ckA73Lhh47Kmd*^hay`2=LPheiu8mNM1u*Df;8Ee{qbN1v8oGYE zajK`dj@?-8b#drGt0;%1PJ|4LuNrS{KKP5A160@q72R~P4fNyM{_QH`|C4}0X6^l{YRzq|9WPv&&ehU5dZHARXYFd*WXCzWc2_C{$}$f z%Qo)6R)}Py)H=;K8o6$A1>DKVahn0VZYh!wl3dGeJacrM}=2eOvO^tF>%r#zQ?CIV14}&50 zJi~DvO{0rbpw$Ok?APeo5_;uT%T(9G)=R}k^A6>6#D01uZ;|TC)q}i0@tdK4>-O#P zm#cZ{+gs?nLI;ncT%&M=JLvRyCmb)ro2gT2|Bv6bvrgt<*cK8W32TRV<{d+ljK9;p z*_xkZ@JJ=m4bGv{f90FFOddk;*V6f`8%c3NE0vv0x)yRlAENq1*DJnt%O|rG1DE7K zw@e$pZQ=zX34Ez=ba%d?CmHPR1trlF77l&pW&Gmx>!gC;KcOnARs+v(@unlYI}2jJ_E4dh6Gm zWw)O{c~XetQ8zp+Y~w63@dZkRgL&QYkL!xMIu?3wF*biUeXOs~@NMb2bl%-inYQ}m z4dac`(fj}0(sFXjHk7Du0tfUeP#;7p!8Ja3;F{mes8ZwP0@wKI!=DAkUYey@^e+EE z&vh0n?=7xA>f$)*Ud1@$M+wsxs~4{9GkEyAXyaR96B-)1%XI{Xz!Fa~PeoTP1YIqzRY}hK7V7Jf^|O z6WDs;yVdJUjkKkh)tC~TCFg}t?CsCVWxl97<>bjFetu~v5Oy!REXT2bX7PtpHj0vA z6W7RB@~KOgwrbO+d(gnWBk4{`D=e^F1o5rA>B_x(*>DOg->%-|{#8Ya8|UNGW!3a8 zLpsn%hNqgcswy4`r^$AOPb-*)%9@w89paOc!dr(ueDGlV_U$GW!^ckiKkU8vU(V~- z{+}si3}r}$gjA-;6csKcQ>8hPCNvlmQZj6InL|;eB&3N(Daoudq%@OEX;6j`34NcZ zz2E!2@B48-9^Zf9bNyi3q^|3Ho##5&I@WO<%e%AG+5JzfJs4pPYT)YXNc%-|+lrx6v&U@o9nsAf&X-Rnka9^$;LV3)hcL~fl(%Tg?<0-(a-_`QGRvKPZ)1pcuEM> z%n8Jei`pMr%=Ee=pmu~o@^m+M7gH>(zK6}>Xd-zn} z*b~toUMERCKUk3A_EREQZoY0)c5kO=vsuad{jb(7TkzlhXR6A*5BEE%*RU$@N%t2& zLtCVKxqMlHXp<@%%!N^r?qUo4_VkAI6FD{ z=&AabK6#>$ss*uYpr0N)@NPc{f=@37a|^qMvaO!Cov-gEu6e1Ml{8NofW;P%i;q`T zRZaD3NM5fzc#xfKyQCQMXiA@by~#y8LRpZ~S#1(FNZje8Mv(vVRiKW5 z-MGZ)$j*>RdZjMpNBdHU>TLXQ?XUS@^6gq*zI++h!5Fu5{ACt=12|x2gC~hQOKOmj zr6pT=zMtM$nowksd;4ha_Tl-~SLF_xzM&Iu=MBs(F-V1;NYCMx2o9NHyXr>Z1SzTR zf4~yhI-bb)`v~^x;HQ_!oitOWm_;3PO=+DWYv=2S~4;P^4dk1@a zABhtET_~9fsb~R1FGohIx({#%23@;W!)*hp|2iT+@CaNU>YZKhc-PD4D|h2xcJ+gO z0Yq{tjq5lFFc*YiKp0CDFTW^(i~XNhDEzg5{)gYxOpE{j|LYIUV8URipl1rHv~EKE z!Bi0xG4yHr26kuS?}yZXqp8@3k75XTSRujr;htoVZ3YxKI&b{*Hjji^E05_OQgPEV zP5)7U4<``@85LRoso4NFE!+-4=IDw7+u?->CHe72R~#hc5)*5SF7*F%%4_}g>%R!A zZRRBc+5sv&4AOiHdNj{+I>crONjf&ywsMW9UcQ_Tv+ zWN0FV_tq^YKv-H@ zdQhp+m4LJIzyZ=SSFgf}eAob4NU9g}Wr0rAT7~U`E^xh@h_3+jl4K}NzQ=XfP z*Fdr$o#XsePJqa$;d)6QlUwY_s#=HY4_0ZM*)_Rh{xZ;VPaOix5aM%uPTXgwa_ z?&sw5jgRURM*8dXP`#lxRm?`v)X=}N`JXlZ59RP z51-sOH>dHBN_Q6!(+*_ENBjBs5oBg1zzT1(iPO%XG^xdqx`bx+^B(K39 zYipxJhHCa#$u$fc-%k9cBF#||3zSL@2ffl%V+Djy6beGZxetsx_KN#T(|F=*FM`m`NZ12G`*(T7Fu3L`=xmss*E?vF`7wUO>PHrl>CqTLKs~bPsDlrZ&8t^@R7fOyjK4Ofw zpWf>y8I5lgl$^Lj%+=pqE$@RUaxGy>Zp)iN-F)*GEov&-tp<0G-OP&)>-SAFKb@*r zmO)PjknA_t80VpT3v5H$DY3iqW)~gzdGeLZK2WrO?QU%@}koWq&;Ky;%4A+{6OOQij1EDRh=mP}1+}RnL!sHR#oyMPy1p53XC!QRdsQ^^T zn~*7Jxx5SU;j=UpK;Kv`Hh8pTq^fFO&X}MsN2*kE{eS=YLJ~@sqa&P0r#Xw3Xvw^_ zD1OIyd|nP}PMhOC6BjWJmbme!K|y^AoK;3p72hW0a^05st1P;h6KnAiyM>bpM3`E| zYd<&;-F%toJxisBFlOS2KX@>F)To2j^ZRx0KFCimWy@&YKXGII@ws}Tl4ZI_k|)D= z9uqNUNvaS3kWPLQ;JsC@7WrlrXPiH%AVy>++aXMpZ?HA-E-IF<(C+t7;M)cs|*kJGNj;{?iu zDr-bOFL7CYai&?zJA*{0+2eE7^@d;dgryW4p|vfyb+BoJN~xmzymdo`pB zqwC0MX!0~Pt+YG+b7@eS1{}Qe^?zp~=yVk{g z*|;5k!tS6h@3_Zd*UoeLjIvb86%_a*RYcsmMBr(@&$^1|@a2B(A%EuYDAiy$e&bhW zR+ewwT$<+*{R19ljP97$d5)(0Pkl$nv(vPk++9keHtLW#LxV;LP~CPH9G@D0-4k$+uJhk2NA(dLe;Tb zPR&OUW9jL=y!zJTZkBVKne&@+egXXr8Z?O0a$)j$l*C?3$Lv~X!g?~T8m)*eWEpxt zfj?j76fgHa=9u>R?3U4wblB&#i|oH{4Q6s7vz6#O8LQ6I*AK#X%+fLl5f8}B%I~qO z`UZ@(Ni+z9b~{*PJ3EF=^L-d9G26;DmU=SKEMC0tDPN0wrO24uogQCdw{$kQhR70- z7HCYE0O?KV7tY`upRiFjW+ocu$YN?9a$`l0+MEg zMi!=~GbMCl2|G;)f_+r*8>W%dXVrwNkXo;>$yw0)L}!4J%f``5u~T5isL``E%0q_4 z-z%tmaQv>thNMv2IS%_=`V|P5cg$L0e8PNL{bYJ&W49S%D7z1Mj~>S zG0t=R_)A;2ZsnQv$?@^#>LeWuza7vm7t%PZJY~uhuq%WUD_5;5$Bl;M3Q_^L=e|yk z4_ckLVrug`vAI@sYq0itVQcY*s26?y{2F)nlQ^OG3@(r{dtb?Q1QN=X<4qgAe#e+z za>KhkrlaLmP7TT^OGxm^$B!Qeb_)q9M_sb7@>jvF+@;^i)d(lMnYRTMRw#PfR_lDqHxxrMN%Sy@Rw zgcD>JerNiqUUW9aNYi}sL(?XbMizrs4OS3(jm>}~?j`rR&v=o7LJZQ!>(?cTO9j}n znF@o2;pOV$V*YHotLqe4tsD~PgcqS=0rQK8X3z&bA2ns&o4p1q-0BQ#wPJv3K=A87 zb`PgOaCdW4$KT6s4*6wIb#t2)D>jiW4!T^pxc3vIZMu)1kGx#07U}^kHpe#t;^upp z_;?T8>N7*hkgbbSl&c131O?B*U-r5VJMY;l>eIX7s;Y(2y07o^UTujNKm?UW8&#m&OS7x)#dNczIr{%8r;CbA}g{4n6Kn&dTi`N zy?0ZtwV%IOZPeQT6^z>avbIR@wc0yk!og6yYjr zY@CSDRN8x#t+IXp*>cBEd(0`B;ld6O5;Lf5w47btk7kO?gkuSmR(t21^tqp$6%YU} z(V*bq;XPzfE#FN3O#UFsH<)u^ISw7CA9Ox&m>Z#QWphPPP!Q**@!Pk)I$NIJx#P$& zWK9c_k1l#{KZmeU&nRX<2F1x69~~?IVcG9W@vjp;n1a8rsuH|tCZb_20Tj}?w?=qs zs*v0s*t19EDY?H!SsNK?tbLscp6{_~6YDowO)ZLv?vo~Yz~lxU6lNwhQ}54fS9x2Z z*T5rH^#);M{uAX!khkp+QSR3ocsD!-jQNB@g8F?3=i+upB;uWt*Tw4~Jpg@%Y+!du zMLDdYSzHbJ`q@y>+ji`wE1{HT=tbhCOCgw^?!4VREgJetLshOF83~((+_I5s!F)3e zK+46|Ew2;L$-&;$)L5FD2H;)!+l%33U|?^GL#y_^bllq;V;5MjTykcQ)3f=^zoP9;+iXo@e#FpK!Ijx-K@|MUCukfvwjch*K~%dN60u%ffN zaNOB*Hv&e$$`N)!(w!zDKj8513pXy<)o?+smrk8dQ@ybL2Z?w0|Nf8krp^4OsEKvu zInd4+f*WA0I%VUB(2q}BUYZJAvy|vqRdp!kQE{d@# z;^ILU(5QB&Sk956uy)4^(uEIdj~!Y$Az&SLbftKhs~(ORoE#s|Ag2R8hNNSb3eJZL z=gx;%@Ah^r|3DZ@3`O!RAcjlOKl86 zlz-@QOcvmXOFOTZ^vZy9KbtloZ3JW_mj}4=zmQbCzzQLQ#p%&MLapxIOmtc9LwwA< znlKvP2=t3Z@V797O{tALD{64rC_}m=N7N2tzCo4qhP}fDJMNd(&T;x8XY4N$w^$^D z$Pj?M|9)sYx><*$T#*g~GI;2b``p?ne<_qUNNsCx_Q+m1#=`Iv&qM;dCFacu30EAo_z#UUe4gJ}976iTUZ)&`L6Yv>{0r-~ z{&r0dXEv`~fl8r%<@|Baf_LwG@bDq^7nhsh(GFZj9F^d8uGmnCNrhW-n;Iqrw`C}O zW4WcZ_0QK?-JNR7YhJyYE}_x}DqDE6Ms(x2PDRQ{6~}EGep}(#zMaTCW+mSHn>3k% z{C_fq-bbpw-*Sk5Sy@>$Yoz_n)tdgg18hR#=u46>#9cqWbK_c7zkPk2!Ofb12q%#3Nm_J5)09~~g*M+(IVlW(BETFmq0uM)@ zdyB5#)vEx%pJWaf2e{)iO2xjbs?S}xM2kJD2aEEACX2C|S%=o!AtFbb-^70bGA%Ue z`j5Iwe!wAJb7}cyuDGCi>)EwzE6YWT`gZR=eP8-Ei+(5k{BoZMN6{SdiJ)>{^ri4( zqNgYin@fg6OeR8YVA=&g6b)kzpw(s9jRS)w#jFojV_{U!%9vx&)0 z5BRH-y)0uD=7sWffFg&ztjp`lx?PegdknYFLaU{|5;oGk&qsm&n? zdb?38zy6NGs;;@j)7Rd~L;UoZqB>7P9QyjxI9etms zh2F}plm1U(+i91lH>5>Ff_5l{TXu5__sXIx8~rvK|5yS3KN}Pn*42MyZw)uiPoJr1 znurVWb?Zq@FEUBFi$gm7GB(Wts<~j9q(7kR4=$?O@Z&~X(QB;H*ReADmY@n zs0-$}7JnTZNOXoj{SLA}qin>e1tgJ(2hhZ2?pnW?ajAZN8~@S?x`|!a`H8Q8K!6xM zOSqFHGI*#&>a4^KII}@I;HO3ywMFd`F$oC$!+Vs`TrJ?|AT0`7?$PGz{YKebgQMLs z&cV{~SA=O8z3l9hm*${T$Zc}e)V-H;wf*lN5O3E5r*7_Y z80enlBN+SftS(*@%sZI}IDiwgaB z?b=nd`Ebgk=Sx#(6DFylL}p03ex%BCn<%Tq?{gN?zol7)Zh|VQrly9s!8;~6 zcG!7?3?lOl8SWxRcp9jP83`1o^sCW}Qh}h2R4d#DE?aV+tf!~UPVQjLJMy4DV4O?LHD?+0t!*r4fpe={+$Pr^p z%g9T#VqnGaO$w?;c=0X1mxWg5)hCn>*xCP9?=JhgJe~_32^iYH`8Wf8fX}~|9hpfK zM`7bvHpt*)aIj+9p(hi#hyL)PXIk()zf$pRfp?6XDvddWj|jX&7C6yqJ}pq(AB8h~ zV+Z|)a*ygXw^}sScYinQ#)Jc+Sa`=rPOwgmzFiw@F))l+g}2mHw*gk!vY4`Z?V|b@YLdDZ!s}FrHu@xkIR$-_G+mvP5OlkwC1qNz5 zLxtjh4moxZ5a7(de#eL+9$t_KC|sO&53k&XY1(!=5!&_AxH(_;obJZOa-<9oL8>cuhf3j26U3rgM-VE zr+(mG!ThccKPLARqonCxQ9{y*YxwjDEzj!Jt9wn}_<=It4F&Xi_gU;K$SmA_rKE`- zU*EY>`qtG=AuRF{5L%^QznM{;SD)1KaOi_&<%#aqj$gJEejD|G;8VkohF0ZOedcK2 zyU~kZ|Az~psA#=tkV_)wvXDK^)XRV|=n!_a`Q52<> z^@hbc_s@loUZ#@U_;t%n@$>^N{D0r|Bg=C{lu#Q}dT8bV*QzZ8`?TxQW!VnX>Zv9s z1ss$ektdA+GJJ6Mm!IAr(WBuxpVtPnnX=L*xC> z4D2;w^?)?5gWDdln?YYt44=wO@s$lxA#Ol9qU8{Jw}Db1tggd1l+Q zqu~x8YrE_6ns>}?+xtoE_6)q!Ypnd?{c$ON5&Lge06`=x`z;Q{(41dFBj~be_jUimVyBH&+Ev}0KvNX=jCw9 z0Uqu@FI|iO_s^y3hzsvGPVRT$t`=U5>%&FU9W;lz=%%w?I*C3b<_3rxmY~9VYyQ{T zg?jwGkWPUdkX5*81C{`}6s}iqK1XRo+|>evVVAopvV+9Sc%AI4@kgax>r8VI^z5=8bYM$G>r<-p4(Y|z^#dIzJUT7m0o}GIckRA`< z*g=1BbGAC2dhquic_VOZuI{9hF6QRNe3R;oO^XswUfqQNk;D*v1O`O0#P^y>egAq# z5%Q%jzrD*PO1ZY%{h@S3ZA%b;we@NvCP%&zAS*zosr%2ggu=0u6E5b9k@KUz2&BflMDfP9wn(MXNw-1v!O1CBU9_S{k)Pux$yKg{ivn~LH$^C1 z;JwMoA6!Ccdd<1ee~e?t zrj9runSX>REMB1j)9%S^H6nj}f`Jp}tH!29r-w)HpZWIiPYt#cYA#YlU8>>r;TMEy z7KQ-LIB<~{x+(67|NOf09;3~eswuOxKz5gQCK*&_W<=n}p;2RDNU)!A#EXqrbb1xs zQF=KjIx|L)l>o-Ee?vffz$dWjTWDm|t$%;PB!xmuM+|fRE%0f`$$nrP05yj^3do$> zw1BLP@+{J01gtq+q>z30o48gP%bM_TWxg{rUxCV4K-hCfCw_n|LB2LLjP#gPdWlE( z19!zR;pF5YVVoS8PR4JF0s43S@kduf8vdmAp%bR{J22iUUnSX-hM3G(Tw3Y7c9SLa zcf7Hu2{9BFPO;MZ`Fz|4c% zNAH5gF?RW*Yrjb^dPQ+vWrfF!MDnev2{h3xrPVw8h#9O8xefEaUewl7lDr0~7NR0o zX5{o@cTvAHTY_O(@9OG)GSr6YL#6||cJ-4eSuhcWq)7jq6?HF{H@-u(rxTc0$U)?B z2f2P1lo>|CCp4p9o}nZw+evYfv9=~aAi1^@6baZHM`KT_sjHJM43UMl!yMc48#ltT zi>U}w4x6UjgwJ9zF*_&cz)#t5=C;jxy3*ui2dQfZ3sS@6~7dq;H)1&lQ?K5Rb0-g{KSXSlTbix`CR1}doy=*h4)p8 zw+u|M9mDc`snBaC{n31Y5j^P4*gs@^RxdiI96lv~nKXlgb#888H*f%8CvN+lfBp#p zGuYLOq>UCi35;Uz-kZ=tu{+sa!v6=1Rv4e&pL9f}nsp$_3O;`P3E${~by_l*d^yA! zJ|>xhy%szu$=N5_z>3Aw1R-NC$ygxlKLK0?iw2=p20>|-WGZ@B@r^{ymgR;t-uegJLdTLEkt zieLQK6jlneSNb;D0Tp+j8$D-r?%cTp)v@~N zx-yUOO&d2}Ja3B6_=Ta0wQz_HI`vFSY$MKNlsJz%YT`T+=XCuk#myHl#`>*ipkaPg z7WFXI)K!l!PIW`lP>mir(qrAaPjYIe%g0yL$an3kD*=H9$T%8ncRpyP_f`Jh+uM6e zwStu*KkfaiSBC=v&c4;PM@8#Q5iCix&pMPn(<{bWtQ76DtS)zMXl`M|(td@DdmaNu zB_D+Em3J9IS4rZEg@OKj_O~Af2HS9c@w1cFbjr`n%Zra6%Lq}6RsI-k!5O6LipcAllljX5wX zmvAr-IFqB*;i!5@G|_`) z2M-;(?$wa2Yr!3pgc;FmGnDD7#gPricdnQ58#+d73a$zF z4J|?)+UWZ6{1)*iHeQRfHTRh5vY{9P8 zQ4^o0IYhKb4<{+9=>|{sSZ0>C&{aIGvwl`mL|Ci$EnEE=AQv%$pkXD7u_Wgb9gGq` zWDO1Ba!2(CP6mcQ$9wY@E>?WiF*k45x+Od&dem$W$<&va`|zMeen7uy?!0*lY%p$5 zzLpClvlb&Vz~cMAQxD*D)w!-fPA-4aM9{k+oWnrye3p~T)!+Q}rm`}jgMAal)DS#+ ziJ??WAZj$sP~KPGX@hy-vy?S2fqO<~f5k3!H5CGWm630Rwv)k&Z+V`)r%LSX$AAivU;W#j7U(6@Wkw*rIuuBxgY!Rq8C5v+;ht##(PBWG0Lsm za1s6EgO~^(8gp?V(8Q1-L$tLQza5ryZ1j#YJ7PWaYy*F!FSE5>i?o1%jER!5dHIXV z%Ap}HD^^s~{W}}#c#h~u-!Sh_>R)p!tL|b(IF@vCw-blEXkEl!Rio_)%S0d7)U_46 zJ(<@z%;hbNcR}zVHs5PY%)5j#ht_Ifr2C!h>>AclBTJ@rOC=9F?PtvTP2PA=v0J}> zzaU)5=+pza(zx(D@QI7d3#wW>3*XzX zU?o^dUMNj07xb;ULTVIJc0z7th2vg9Fn)ar%bJ6(iuAoce;1GC3nhW^uSL+OU~@TW zAzu!%y3BW$$uSB<;=V4Ym<&U8ozG-Hy<4f7$BrLg7x)JNVmH|XcR{F)R;w4yair&0 z6RgN#jg4!N*7)+=@}KJDb8K1cZwu^3vlaf3Pe zAf9}CKmT$%S|Vqxz4~zH{S4NP&yXrQ+{A{_Z!R$o&5={w*t6IE{CwjEy~@JS92w&@ z#3i^clwqn(x0?j9gcUGf7ptcXW9bbg5PXVX%-BHz!Kj`)=FKEJqEo84#^48KRk!78VsiCSYs323@oZNvzi z=~~Lt(jPEn$Sxl;_;V>aoq7(9TGyH(PwSH+c21L#$~P+YQpft&iFH;t1B5PN&^sLo z#(FXIzR=}Qo<2mz*j3|K7&w|4G~xq&<(*Rj^Ir;o-&V%^ulL@e%ubAk}s3r5U;CpceoyE{0zPp;AJ>p z0ygXSD*^!ihbSz{yMJt?Oz;fc$e$E%16F^k|87U&s;iAN9h*Tv66W!Aqd&B~Jip8D z9pZ3Le&xayE6(3Pk{se$&sdPomv($^GGa=~nsa|*64W*K#?B6BE@1Q?5cO18I(^>8 z8b7$|?C5BUWaPz8@XKJY(UeI)-j!)3YYZH?tzao>2V>XMZ?rNoTDm+izEw{tsis*)JBQC|rHB$L9wZ zlq|yxn`Yp?!P;QTjWIn(E`A*wcjM;e$yFo;s!ylB-4H+avqg(}Ro)>&8F4t~$A_C; zYyB|jTbMrUF>%5|hD!K|p0Y5TZho4+`O?c)EKN>>eZdha)u|zJ z2GI|DCMoZ-Bp$T&GVLf?KRIAH@wPx%mu?z)8UlmLt0=$hQCH8IuZ zB=1t(%)rOS7^-rYw~z#TG@r^p`&UHh%-d7En4J6zR`Bt$D{jPyY&`tjO%kCoUwxFB zXqSewweN6ILr*$SAL8QqQ$yz-yJ&O0Wp#^9jh??SQ!bgCU>otbt5H${HLWF}!y%dIWAE*UFk z`+c4n=xnUcfEMx;YNddy?)dAk9NS3gH|Kpbk4s>z3=!yvJLJ9aN@Zh2DZawqsXS%P4j@!P*DHWObU5kY?vT9pu-e=c6U1}A+h)AR zvAs^|hg;N)i=8s_y1}>m02vR1azG(6Ftuo~6xRSYWYKpv0T3p*jlQ$=RgG&$T%}>%AED|eB92omR2lM zbo}eFs=Rw~*K3QV#q7(b25BOToNj8RmJupXW6>1aroHLfP0N9m8neQ9X!o^`;VJ32 z_&vj1sa=2#JZaC#o!k?3<>0#xSpq~-{lCkQ#_@Ln9*d`en)FyQAS7oAI5e8sGH#x$Hknm%p_cl_a~ z=!r%rw~zlwa5f*_KuA>eG;7~_JGh;!pPusW{rd||^^AvZxf+D;50;kNg;SSdwMrTw z_`)-1O3R9w>3M;fmUkfd0bp<@!Bb-|3C^i=&2K8#Hu- zzk(T*n4XnGTJVH5+rRXveS9tlZp5a^&nRk&KVg?XV8n>|1)sPtxIMS~03}@_ zbu_&Sdp>3E3)6n%&#$E>GM+-+b*RSO@ZP}=!=w!6toRtG4xVqf2|9UROj+MH2OPxn z(GEyYPq)Z94)3o0&S};2I2LxUHQd+*mr^_UM_5zFY#TWJ9=EWJj>I-WN7hjECo1*E zYHG%;HmK)j0}lkooVRG%>=k5j>?gCXS)4VziDpWW(|`!~j9Pr&<-{#`TFKYGT#ep~ zd*r@-`+j)5>!bFg113KU*2K%z6vikhypUw&AGsofw>7KTFyiaiuS*cf$-;*h-kVOX zEdq&Y@$b%1!uw^7UTxjNe%FgbcQn_p?s-OT{qxGlzBKS+EE0D4Afy1;w3u?%bY@y1 z!>o!RAK84ZyW8K}W!0)BFXFPFo+)q}+A4n&)lTg;x>lFtLl}wDv0-+o?f?d0FYVot zgFNnvIVI=)zEYAN3JPg2b^L!`c-^mqum!M+s9%TrDw=yriLq6^$9s;G+FDrfPtu(C z((W>gQX99(;^COdlNU`@R`oB5@>I97w2Uv2z#6=47~k8WpMTQM(%mVez(;HRQbWvCLnb!n@)^7&#F!y6oc8>B8LThQy(boR2B0m%~zHb6@8_JiKZGe#HWcXx?frx_#;eX!wSu^EU8`SM_bf- ze+BKJydIo!lh99AGF`%WD!*U0D*+nO_B3%H6P>OSm;{02$>*8^wUye(z;MmJ1qYuy zhl9`hEnBpY-zo-M$1Y+`#M5IP^A0c)DkkdFjNv!hdtd9e;kCymvQg3Q(jJwc<&RHXL<^+E(2zsmHZWj^0VC0D>XNW`H;c5$fqzPZi`au+kJkwQQxpg@eBX_;}7F;^OcH@ z8+k;=$(U?v@3hFyA?5r-|L`9sU2{ck0<23tq9k}8RQm-!2BTrw@npJ*RZf}K!E7nU zmIu$A8Ej=^r{+8-xUtbVp3Oy=s`%QaW5?G+j=cHM_yfp}y#WL-n=6`)8l_2Z_}tPR zdxho=%v*4XKjZ!u$tvVu9GRmBSmU-P+^sn)uQdGXQ_>P?_+Pnl;<$A34X?z_LtFLQ zPT-689SkoL6`yi~CNes8`}bYGeR$!L z=%CaG(;+lyFQ*r8)RctZ{s^e>x}Y&kzPHoBHd0Q*VsrvH-5=paE=G??vM87Cf6g<| zI`D2iuJPdZq~u(aDS7YMV-{B1dEgJ#S`V3j;#+;ioQkg*6nH<(3~B`CXmfE?pI-Tx zCSet?O@2oA*aq3EL}~Q+@sO2z0hz+zL?)5*z%@dbZiuOxHk$MqWh2$p@+BGE(<_TzV#ff)17EheySCNXsGz_{{R_T- zs+KV3`Rh6%woUCcbI8{}E&mf3vfH6^Xr)FuSX&i8XA&I0>$%7pr za-Hnd(Hqh`YW^_0U9?%IqazP_^^I*pRvICOeU=tifnboE8# zh>rmek{f3%_!qFCB2VrSKT@qsWs&Ru`zh!x?MgP#+Q)l#m8$D zen1CN{p!`}+MOl}EA4Ftn|#}7c0r_0JLqFaXwp9@er*UY#7=T$V)75|-8xh0dIgVj z4U#CK;}^6JT*r`vYCz9mE$(eF-mrSL&5p+GxpwAhtEbzWZjvKk<$h5Wb7sV>G;QrI zVD==kOV=G);fMN!{L-h2H3sO;&RKs)E+SF8+UJ?kugZl5Viwqeelbgx7R5TCq2>ql z^p(&N>C1dBQo2Oh)8Da^gqt#Jp3!QIT?=ELAj?IR)VF6(Gaxv=RJbY3;RciI8*$&- zY3l}!t@6xF_WoM70U90X;-Qrmxm}wMoVR)XR#dh-VXB!<+bFz>TE{ds1( z=r2r`{qol_*rnB{n6rVtAOj;=XwDicDk>1J>cZ)30`Z6jB4y6KRp?75q0dFJdJ*;( zn3L<%l#j@lT#S3qJEW(+-5Xtt*Lx-kG#J*%q4Qt>dCY}pM z(2s{MS7eo76FyR3ZEaMq3TBSut+SwJJOK((pLE5c8pyi~w^0g4{kx+&uCLTEw zVQBJZgyuD^-nx4j_f+he$qi01aVq)HzTLYuXz{`nbkJfpddP6&iI3pfc6PQPT@L`( zNmincH~r5RH?^=R!3V`R^Xbzc=!9TlJUpoNtezCn7036?Y;Z@nxt z9S%Oj)ffQ8BDs7vKV@J}_$0Xk(ty@((zeV|5MexI?vWRm*x1<6fae*Zc;|(a5mymS z_{CQ?o^p@haxIwsmP<}eRH5W~{r>#|32(R0{z&BF|5Q7S{z~zNEgI|-Z$PK)&SpvXV?8TceeLv8z{kA~ zb?P(L=E3l!;32L8D=%a#4NsfvK?5Jn* z9(mTM`g#_JeIukbBG2c_!6gtW0Y`zgG8|;FqX0qwxQFjaIURmY;K6dia09=7lRy*x z;InNCLk$OXCGWa;;bB=>SxHA3?33uEGBYgi&()_R$}_w(f?^}2-6$LPefULS$$s+~ z$o&hooKI$XdC2kQU&-3-cZBgh{@A%QtM6L$?Q+fM)h*hjjQ_|Hye1zReeoe)qx0qs z4&x(b?JW#jI_mq}z>o`XW*=}*M<*a)7(aplvj`PxUXYdQEm&}Lq7x*E+VQr%d;G*P zC4pAHtndy%bu>-Ft>N!=BWr21zfT0)N$y?f^ZC+JgG)+F!6Acv5HKT@8`EhaXXXX) zB7(!AI=jg@rlA926q6V%Sm=p@WA{S(SvJ+J+q8+hJ4i}5CiKr4F{O+3T1Y)=9g>6T z?I2ks>usc^vpw7O>(d9nl}lo5l6UsxfC7~SwIz+BwQ}+6ZGJ?_FcLVk5|^Dx5veoN zcXyVijCNc-T#fvSrnpiV;jweS$=}kyJ_Gf~?Qt$#9p5SviQ3b>2IIVnuY}c*8qzM@6C`4+BL$E!8F=@ zG-U%NH6Xi+j!wwW{gOnA6jJmxul`v5N;%dd;Vc1hQ4k~sNB?s~yYkfaQJ<^%8V4sQ zeF?!JDm??-dIp^t-v~0!8w20-qi+rw3^+V`yw6Zsu*o&$Ek#>ELE{kSA;lm1k6XD_ zAMS5S_~P0JPQS^2G2aeS+r+hbH?+`n)c5G@kOf0ia$}+G*i~z1kc`_mPv>%B2{+QA zY*0|dUvtRmg4Sx*bCkO^v^F@qBVoIONtU9NZf~wPz%2EVBb)hrW9Mc+e*6gnE{k;Z z8)lG>NSBof=350WAca*D^Ys8{K-}34Nci)t$|ULIIK{GZ}QEnGiD7Qrar7Ftfmil zQLifa} z-(<3OKn*^{x`~lPoHMaxsH&*A%@p{nSIB3;ivj#6X=*}W{X$O58D9FJ77mn{9YXG@ z=XBy0Zq{)pz50R}Q(l+`3PuaVlhz)m)-AqdNSi^3Y0l5dzbZHGKZ@h$wYR~G=v};`2y~l#0=+pU|>$pslQ|-j^mtNl$Aj^=QP;VNRzGwv^J9 zP$!goe(Ds}%af~viNHZa9->zMpR3@Ds3{&W{h*593%VO zZwf5|V(I$3Vq&6TkR*b+o4V)8S3j`|jFtMk)R?tWMXJ@Q=ao^L@=jZ$3ea5n)ZDQx z)cO%UHSlNRfd+LpjN%=^6TB9H&~bowx`rTzo3^<&Wzy^3wZR=j*Yn+>Dj-vF<{WAU zD>3Bn?%ie7CW4s4{Y>zU+Sp7FL)-h;cRuTNXtj_EA}$f26VV{snnh5;$@R1@u)K2>b{9 z5bV*Lm~I=l5$=3;kN5cdX28Oy;z3yeDR8-(#TP7U2)1Ah7k3RlXli7H4vNXG3hY*H zuhJ(wm$S!e7sgZWSNHqg2fspQv#h6k@N(5gHPRsRy*VQ9Bl+>4JLlY9DvQFA>uI>T zm`l}3pRSCo2IHb-$6KO?r0O@?c-eB-% zexbzBQ1-1%N$Av8ffuw|NQJu7@E)eB`jRZd%6Mz)x$nCzJxugks02Fk1lFt;-+^)msCwDe0>Poxi4S(uVI`N&3o@>l7(*p)7>cfW*7FHUK zF)j{}i~OsZ6GKIj79MWTv^z9n`X{Z`s9cB!1cxNw2hSLqaW(-eP4afUV zi3*Ia2{DgbAErWjp#@FHiR)(D`30)ta;mW*A;yJRB(kY#4Tz0c??-0!-(+K zyn#>0$A@Av8bS!&0p=8?JGE3c4aJsDs+W(Gs#CQIZD;Q_h2@x&po~r$VlFfKFN0o1MJQKL2!BHDfM*ZJW%^kL}y{02nvw zY2eMuPiIx-dH_HgJ{Fls8i55Qupiqj#8v}kOsgs z#`bUfiHw5IC|y&*wkVhYf#O7`;HT7Ms^u5N$5^`b6z5l0S9g8ug=)*cvd2-u5NFvy z2?x46w~0Ntq@sNC`0+>6H(W*an;pN<Cf zBu!dky<tJ!L{eI*KJaU&IGkceNE2XJ*G6vCnKXeY}jQ+yqr8B-2mCdS3+5k0tFIdH6^FK@T^(=y~4jm zP`c9HOi4>?D=lrBvO{Bo1}n7nRPIW{ITyf-q>>CB{JT)w!jjp4;J}h}4^4$qF`k5k ze)qztCk2`tdrGa?Al(E%sc_)wR4%MF>24-C60qj@JWgPIcj5JUrErFs62&tV6h;df zk_h6>eD>MTA3ws2-~$<`%Tof0icVtekX{M#m;u=%!SvBRXop;gu`k%#yVhS;QL&7F z2kCX@5u08_#Kdr@7T z<#=(F{iNo`j<-be;89RZ-<)=`OlJgkfIVmQlvC-72)g6bbB^!q@7r{dGFWCKy?IpM zNh3uPP#`m=czVpjr4=_}4>Kd@MxC9DOJ6y;0%qJO-j3)AYelzyOtEu9j{d$*M~tx# z`_lRK$BigL$e6$r>a9xjH*enDW*DlU?t&-=u~Rj}Uty;@gEOvNnT%}72hve13fI6X z+;&ZjXya~RcF+WPXCcw|^VJQ;l=9~c6(7Fjswd5^7cX8wc*Cnmp7{2Y1}r(UmTT$Q zGW?3^qV(w#nR2WCe`GaxT0XY&`0}aueuxk%D@_N6aTwd}ya8Mu7Vjwc^!Fk0&yD&G z7)o(Mz=>f3^xl{t^Q_IaUW+unxHOTU_MhURJf@Eg)eC96PXtlba-ttRG3v9V3}si~&P z(22!SZ{ue5J1@}P6&6ZhX1?_ta?3NZX*%BbVmmVc#Un_wmp9A7-ILh{aQ#Mdegr7jB7+7 zV6xv|mK?*Vy5)|B$Mg5dWLh*+_!INo;UN)fKv4Rmrx zjv2F%DOXPU5n_EjK0o??nPSW;arqiDC2}1$JBce7T*~FkV5UnW@!5On#w61=!G<{8T@2(m@- zkN&5ns(PaEqWpwcQHcMk>h;%{>3@YJo%r-LVL(lNa29q;jUO8M8d<7NTw3Cv`=5KfJ+Xq!&s5uMvx)v{%? z)?R27S_FT8;1S^Yd9zMofbFFEW55WK5Rey7?ed}`vsr7zpB|jiRw`nQ`1O%YV)Rz+ zL*5T)0CW0s=v!jux8e6!6@QvcLQIp+3QfiAICH`3rG}~*@%s(NS4l~&ZzX=U+!i4B zXjZ-TLWuA<=*8U@gLKC1ErIP`JJ?dZ>t&Vlh%%{9aSB7=x<2yaY}p z_48d$@yQH|yMBCPRZz&{lpoQ>^1XWp9y~}S90j;-{U-w?BB#nLN`mH705UP2F8ph=BC#6TDM2Z0D3-XpAGYm6%=HS*RKb8for%Qa*U*V#DQ(|>qmGBp zg}kS$U{8MYd>TtW)WxiOPne$6XJ|*r)~YA5l?{6TUPWo~YtWd&^-@xDHaoUZDAMtG zQ&EvbY60mlwKMS~|N3s%zwtK=b#=x?kKxZoWa9Ik-&_2;yz`P?+q5;{B_|~f7F{Cf z!uSZh_2DVZi!K%htwedU7b=BmMY4RNN&ngfeJxFO7sSz>fKgLcP+)TDI@w%lO6A0m zoUdQL6u6EOM%?zfEx3BbuVbNRKU!F;xe94M38oO}>3S`SW8BOZkxc&IUk(;48OwZF z@)+y8EM1LV4%FyRVmnMCh(Bug-yIc11g<&_@fR!xNM-Y;O~1dy0OujPtLsA&P z)j|x?Dt00!jH4Lsl3@|IiNbvzvu-Y<$LUsjDG$5W93AvQunVPKV3Zchkrfy zz3Uaxk20|UJr@kk3Esav$sOqKAO|}AHk6O2NZk+PgffixG&GC^y|==kdo834n*Ox| ztT*o3e${8so+d0=OX86+WT1OGpl!nQ&!aRGiB|wtBp7alJ^^Cao${~e*ON!E1moWM z1G>_uO?EC?$@@Ph*Ig>KfsA~#rl#wo(Cf79H-D}=^>(#*s{i{RL-A>K!JXrTUB!Zzp>WSSpO`%X8GfB=u&wOw>Du32!VabPEN`5M1$9@*wfRYlj%HfuYy~eqi zQ+u1Fuzmh{MU3OhSL)^qzjQU;AuH$MySr%7Q<86O0M&j6%pAlpfi$T0UvoIMys+$L z@p4W~Oo;D6m<~8`B6;Zp-oo6?;%x#r%Wk(_;4kQjyQ3PhldBGRjjqZV1?%A<;$=aJ4KEB_iO8} zj93Ks(ZN{32la z@f`Fn2{Eb*fIGnnhs`xMr0sJSEC8Sr{4chgZzh9BNvZ(`_2mh;njgo`0ZJ!m(ee4}0MLSsKV)4QI~WrKkMT zbhku_$U*?Es#?xar3s^cGY%i9?)CL;uVqLvymDpip`v#G`e6mPo_~)f`gb#gX5-*E zou3GXwF1Q+Po8(LriEMDJtk)O^i|{ng;*f#$FON%38Z}&2h0Uhh8dlNB*15qIV>l$ zlhCU^DsUcjp7Gg zn2P+ug}NR}-Tm9`oR(~`w3W1#g^^L1=XRZ+pSvq8-s=O(4Y729&WWS-+n`j*G^Je} z(%--3zqeLR=z{=%h^6^+U+qSp`5R=ph^>@NQG)CxA3euIaw}xUWsN~zFlLNhof26y z(B$fM>k=+qGShBTL3Q!pSMX!Ud;0JJnR+eXJ$kOCr7$?lpI|Vc>&2ZnZcGDiJHsBU zZ@&eiq(r%g45XShVS`|o>}(oG|640GS{XXJ_C-~z3KcVBThFbT%GBJ2Mn?90Qc{gOk-{*P%dj0Wx zZgrFM{eC`suf5jVdpp}m^IT%Xa`v|Nc6WDo$KHDh?Go^(APa+mhRvsd|5jWaI%6?f z4}~`L($t@rKJ*ib`v1Z4*8~SAl&&Sep^>JD6F1ubAf3|OyoS&qc?4GQ)X~&S8&b*R zbnNll2vs3?5yUe<)3iEz|M{7ZyEEenAGz_Kf8FE%{pnxr3^+$c3zjq&*5gS){`dCL z&5n3EBf2YJPT0fA(%h&N2RG#9uLM(Jv3aNdB~ zaizVCw)mp;eIjx;uNT-=2*yT6v1puFvqn#t23Pj}OIauQ%-h2MKb50X;$@L=l#G}y z$j<%}^5QuRjp#);82XP<+lPjRVz?nL2WWbPRGQ9=1q*2X!{t0K`T*oHdP+dG(Eb1{ z@P;rkNPfs+=*&_U>;%xjv&*;!bO=IcOQW1#?OU{ln9=iWHN;R;fvAc}xC zV{LS%!oj_Q+iP+_2IXyLw938X#i^KWfxrS)dOHr?RxY|V*JOKMW?+YNv1tiya2uT; zx`)rAi4)>#(SN?vzs$+|{(2u~151dpJlAt95q4iwH_z2=n45xye zxQG2C%-~4dZEbCR2f>|`d(M2ubBAPYhWQ$boY4Tl4jC4_2c)E0nwx10XD06=hT@Sd zp_oCFgR#EO-D|Gw|Ypuf?6O zVsaiqk#-dnJ-#_!d@VL7A#q@2u&R(E7&sbdEDZE%pfN@A25F2@0eCP7^R&-}ZO(X) z2zOYPdSq`UAX5ho?WMih{Y*t#!`jhN8Qe&cAaV9dO-=UY0v9AN)GjpFOM?D;^aBtN zGCU|NLn#2te%M5(`Vk~^Cp-*?C;dtPp}sJ15fmXDSHYoZ;{Z(whaBJu`UJmTySApN z3FQk9ZF(u#Iy{Kp-{nc6IA7>-($oMG@dqO2yH*^WTIg^<{3ry?{)v-e7KyTu7)+~Hci4pbP*jhhiUNEE zj|u2N+p4A0j9Cmc=oAXExGwn^A36*0A~)Rd-g*)@3+jleBsT=yDi9=an%xr=&F2?n|si{;Kq0j`L@^7x4b5MWp zd3$PTFmP3%`JU%>R>@%{+FD14YZBC-h_@(f{`?r<(Sb$dFhi4gPd)a~J68gUb>!c{ z&PMsxI|1%nqX+5}2FN7o!Cc`ejFE0RjkID7-|pAX#3l+R|C1%T-?-!Cq-6leglUj@ z4!p)(VeDDe`4=2E(EdBdf)C;SZyOJGhy9gs690g0LqBi(ANB@53q>1`GIYX!-<36A6E5?)Y-tq95{xL?t&ofqa&koG^lx(b!~5jz7nO*a81 zx3!gEu`yVOfPNd`1bi=!D}M8v5^r9-hDghc7gfH?w2N{7%v!z86H06HhD|96&BIdf z4$r)SMY65152`W$4J`IaNlw1!nkJuaV2^%#8=Gv!uS87iq#1VQcJJ;I+gf6ZSU}z1LDClDw=e)@?lm5%Q%N1P)C+KuvzvgKxc{1aSVT(vzeN-9|Vd-n&1>H6d%RHLgHiEH9xb=jMZyHLK# z$pNIp9gLo$H{O4kq6+jV(@&1gd*RMochDEmqqvB>bxVsj#1|fbi~j~C-Q(df4RAx{ z4&WsMqueFnGW@~Ci|2dtxO}DZBJYVt)IwA5pbtnkM23e|AI||_$;qwXjJ)v|(diG4 zV|81)!7Y#yU{7OWz=WA%Jld^WV_(1KOjP|eg#W>Pt3Qq7?2X|03TZ|9skYb#97(Pl zpNYiz_lDLmDF7tTdMfLg$s&9K*ani*O-Udcj_u!yoNHiUdHQs0Qc}K^S^?l*^Drv# zUd$Vbi@^?8{J;R{_;1Rdb2%PL8qaWaP$QjtEh56r5*HhbhEz0I(e~VEYr!lISkTmz zgSP18tT~WY&|_#DI(o9gb00jI#!JEwQv_H3hlPMU*sdiinu#uqvu@6Z4;{j?6b&Ix zET(KZdO7dO$B!T3v>`C~BUfUuOWw(I==Vlx6_=18&Pkvh<^KL&_Hn4FG?Qd$sS=z< zaM0~JyMf;5x7Mg8pTS?P(f5W>`9?5;#1z&;bd39Vc!Y@BU6{Uh1 z(0IoG_TpCk3cO^yw^-!?z0YB`2PhO0TqRarq1t0BFMNWuhkp>~WilehL8*<_LX=X1 z_ig4};|sGM&Nt?%VopEuOi}+czkZ&{ZWhq(Nkx-4?*I0R@`!H*%6{;p84H;3KEd-N zWtsNZq@-*~W}f%M`gQ#C1CO{2(bMDTNLoI)@JabaqBCJ+1X%hViQkT|$hWc$Pz@!=-b3PdrYTq-2+#SZbCyHn8KK(LQ2&EZYNiPRBF! zOdDmGwp{TRtRpAf?`4(?B*5IfRP#UW%5hg9o9zt&s*l2aHkaOMrQ3CF! z0+s4_#Cw0oXonci($+0owrt(X#z2RUt`dM*8us=CVe7I!)zj(2TxFp;+1|81Vn0N3Q$T4yA1Eyk3VAQ&uKpJfV$Y&#ZUo z6;U3W?~HDSNpw0gRaRQHSVrrVOsdgprN0pE^?P^_%m1Xw)0Cpnbl770F{*ad7o> z*!G;<>uv(SAdNnqZde~H1~cnRYgrn1;T@u(Mqp!QeS(c8I48IM9(U0`?sniUrXnVa zYm117#xln91RCs@lK#E>a#WS`-hfhBxt629+Z9ZxC8nfUF=l`CDuo{0{Q2nS4nt=K zjH$5V%b^sUta7nxaI{ys3(K}r28K)xdDYUUe-{^<6=`M~J{>ryq{JWb{M$Mz{QEe! zouly8TU@$S*<$U`@Yv$AD4~Jo5Z_@I$Vud8!A2)O)<4TDE{f*)CTSL%Bc7wTn&Wlm z^V8!P|B0{f-#wJ>$W3n7PQRkU)}LW)d&4N7VJ{c@8IMwo-IeZK5(sHj+p|Pv_`W2R zrz?2WFyF+f@-g!F=p2>A>pkGSC9jlxmIV8v9rd9J5k=pR69a!J%crJ3)oc;Qa>0 z0ws@AT#h);S)bu_-1~iO49ti?b67^6bxND-?Y0q}Y@;rF`M4Iz#R?QKfAJ;>=_nv! z<#u`hgF%fG(@}jO?N2j62merh&>Jayzx;;a#vxR6di!0TTgx8!`AVI(Y+h^})<%D! zLR=B=BZl8=m%iU!{W}UJHQAA{{^rm9Kb{!3{Bc>kmhlmDGsQG9=rUG6!XwBF4hNjqEc z5+M9vntW%tdK|kY*sa_8U7NR-UG$vt)5&(LHs5)3BJqS%%jg^epYPLwAHO!SFe<;G z6G`l{53CPGnYLMhm?aeGuC$ePgK!`*K}S)5ohd-3%ZS7~^oKXP8PoGrZMqyPUY*m` zYn0R@XI75ICowqIqErBjtDbI9VRq+9+XjaEiTOWQRHB>d9sL^M`< zUKb)@q^3(LH`5N|HbiQoE(zoG{+6H1|Ffv1 z&_7~*ccv+c+^bzgk#;9yLe&HA&N&vwfIogbLB9+i4ESZo7Y2N5-J2E96RFv){7dj} zPu7!_(DQpUy7C&BG7wN{jm`q-iLF3orF(g6K>Y&@7@fXVi|J#!DSFXJjWiR<4J}q^ zc^p}_8RpzSEk}J{_x3WLDx?%V{r!9wCmFU%13ve|`MJI^hq#|ZPbewbZOA<% zbVPrGu@mYi2fN*R9jVDd>@D z9dT1g=^b|`wGp4>QVNb~#|rTtvP$5Ta5GID@v`t*%rub9>;3k1v#A=PgtWf1vh_n` zq^4+o9#8Sx^`E=ZCkhu}!pE|kJ5DeKTjExlp%t|JLYN7$7b;}hfo~8+!9{lao@4fZ zfc>ikb1%3VraT_^JKgTs-*^y5T`*u<@vQ`z&;3eT?BVIH?^5if@BRM)us z>Vos?!rrTMdk?NIcJ@2{y7YAEWQ_$@L)POZrVwcD7w6wSP;0pqC@n_TiWR%rmi_mz zP*lBTX!9^<#cTam9f>#~j*fjq4PNt{+g^KR*{pCw!cqTf34zR~6M*!B(?H+gkui1mE9|!L7w=|7o75e4tEtBMrj@Do-Yp*k~+RZQrYu;pPv<FyKQ*nc+ZoO1 z@11+FREf4-4Ba0Dn!WPCe2;Or?{N~f6tA{sb!Ew4=*iF5M+R0FDz~$?8B5T{2gkRK zAUv-=f4Va9R0ZPA58q#px2;Tvtp4p>Z7(Is527>n2{1zIQ>ohnM)~o`%imbmOe=FZ ze|1-yn)kL_a(PiVcSVw0mX9@7tfHpWzxa^c!7_i&*W>PhrA_fXH5PX}Y!PcqOdUVg zh4eW_H4lerWEkah77Jr*k=O?2f?j_1ko?k&K&i?xbC-l#2j|NkQ#u zd|gxYou*+*@mJxSZ9^n)YU1|z0MFFseS6P$dmgTq0xn2mUintM;(+9FaH+2oW+?9H zX3*1E-#EK#b#@mU@m#|QtE^T|&5OVu?;!E8D=HjE)mnY(bh0-*OR}#p8_7A5Z=zE~ zkz-YV#=>eMInt`LF}QGzca30qj9Yc#gLU;oE*c_SQNu_fq^kmPO`?cC!5brMxMFf*>w-zcZs$q;0mHuXrp z2;`N#bviwWXwCgu-aSG;iK)-g!|}GN&^7UQ%!n4Z+@`&2Se8envLtV|`KekuI!>Yx z|7~&IkK`TtD4mWkh$tPOGMsyGdHm?rKiylFr=op-W^P*^J8Znt3r2GVf0A$2Jin^0 zK~ckrv>39;`m~PKu0}t_gvdx2JS*+F^JYM4TCc+~i*11^k-)XJTViZB`!?COO*7aq z3deWY@~~*V>qWe1B8SQ^pmsjPxUObF=3SC=QcRUUw2MMoGq6q)^} z5wB*F>{4AH_jg+qWg8asR+vp)SW(M2dDM04z|6CaN0nzZ=-FAu-IW9$M@HP!3#zxQ zvyy4uHQuqN_Vr6f8^+_pc3o^p?t9!r8R#!)r5WS8%8xyUg!6l+j5*oE)iG5&Az_#G z`xEZPZnS-!pN%JUhjI_Z7sb9oyn#=mGf!LH-{BPE_{C{mEEWG z#w#^sn{jpNX&Ju3lU(c}JPNzySmi+JW5$Q8z+QRzENdkO;huqktK+Z51786`V1ro3 z7w&gc9+S)q*vbH@@BI6ND1H!~C$NHq)J7BYONQp1&If{<$|x-n97CWQYEv~`B;NL z(Y`DK0h%M9pB{2ilva&QW^f<~}8T9XZ+)U%F<)6O_`0vMXWJ z3!7t}oo%*dSy$>nP29Sa{wOTutT8dcty+NLt@JjwdWxmSx9c5~Oia7tL*A*2$Y0+?8!x8Rjt8Z(`z+&xsyeZpSpKxn<9-zd1&Snh zY>U`T5+6(UF-yKCr%LrsBy+mQ5O6r7n@dibVw8Y@fCgc6WD^P;$Hw_R z@c~l)LaHlIK1_Ki3QX11JMBn&fRS7Zva)n3?Jc&acHV58nD<$Eh+g7?BlOaF_qQc#)pnIy!SW-*te|f51RAApsH+IrP9WyqrMJwo;iCf6iE&eTw?Tga#t&kiS^6!%4=C z8QeQE_%JLDv< zX;b<MUK@vC1f z*;|Fg3rq@*-8OTU;o~+7KSt!SuL?HM2_j#rFhk4-Z;)*ywQCQhpjTI-v6R$S+8SYR zaQzIGQv7yfH9ZdtW1@}ro<6@)@)u!^g5CxtjquZ+(~<)0yD$@c$N?9g!Da;AGb{6;T5v!;z&K#HhT?HzyuCA=xcEupf^5N;{;ie>}=l;jB)goo!@7MA+ z28Rl7Xjrr!1dl0x^4PDZtIKko%9*deM3NbTtp>|mOU;Q1$*-PKI0IFMga~A%J5F0{ zKsF`0c3x6Py!sAcfvN!43&9=)Yk2Zg>VJwQs2@GKz` z2stuRJg%jMsTvPfj{V~4EM1OAnHlBE3^qJ3k`B|@I1wi5gXAuIlTV^dr7YwZ4i&_! zykM}x6BJVPs=vf^j^a>q-Cz>Ng|*yc6wP9wA}ZSuw!T&)p68Cfojm`MY$JL8V@}(g zE6mO-oY;92OhZ7by?6nPyUs2y2Hek8g=CbJSZXeI+X4UqtZoPkY#ag~Ky>9h!)FV{ zB}{`Zc?ojH+$(hsz02zhy6mw$p!TiB+MUu-N*Z;m*8I|JX@eR& z_GA+ItQ;$oI<^C!I<>8bfqvNXt*3S@W;GKD{$@oBp2{-6Q5WTPYRk!>DvxUkoB;lM zx0ltU=)wNd4^yT#uGQw{_l~6Nru?g@9wf)MSm(qWDMkepa$mcbqNkN_;y*|0$_W4b zC3j0qUX4ZZ+lg$um<$2XEoNJcN`ZMByNOD7*x%mD(NjoaTvpHRmU_DdwAX*j=?%L{ z_yx|9Oyq2@%UcCCX&IB_jTy@E!Ic;$QfCin1Imnz;`s1q=}f$ooZZcQ>SF=(`c z;@V_g2?R8-+fM;N&mL!`CenZwZpSg;7EW(yym!66ZgyC&FoC*f)Fd_wObWoS`A^v- zUA*~#B6UK&_A}xU60bVJD&5A#h0{ZaKN4*A<>qv|IP&6^Z*m2HeVNAPMi6ijzjNZBQu=Q+4D@%5e zuy}z`pfxr4P`O!=n|eFu>2;0@6R&CM$t3BL_vK_}sxLklzu8tVVq2CJ%CqL(b)1tR zE8#UScL-$^4!+-20-yHY~wJW-*?@xcB z?X5L^U`b=`-4PnVkV#VYI0J!WS4VbT9a8*`u5JL;z*zom&8`?~G9X?2B(`((;L@aA zX4miDV&9AJ3ra{!xIHzX#SBh+;$=Nuo^sx6wdbmSI%<}Tn{6Y>a>o6ZG5|S{U^;9+ zG-@V|E}9hq64)-O^0!SArTHV7oHXTf3JLye{525UZkM8371Q3pfMu{;$HAI;Jl?v2 zz`uK=dXfTM9oqy1dhF%lO^3S!si8+RlewPxn>3{`kAe%#T|lae#FK@UbgS^Q(!vi@ z*h898Kd#595{51jbwYxUI3EK?5ZOi0)y@ZU#D%Y{?DjLB%CBxt%`FyE&K1PxNyamQ z5JCBO^|rmdl8rfnlWiFw(Jj64v9YvGjbF1&h(o(GwZvqpdSFE@=SJqeJ8b1@m=yN) zIWC~6fpVR0pcR{iNK_fVj{)hhh=odJd^AN%{dCj{vjj2b^0fuM_nrua263j2hG}hj z$9zX?imy!z@AO4#z+^j1@L;D+Ml7Fs$9se;5^q3W!b3v}Xo_lcryrm9)Jk=R zZ{d3we>>?mPhd=!Jwu0RTuYVteI}nx%BxB?UgUlHxf?0CX*!yMQr2sK83q~<6ZioT z^Gz&@E8&aF%?JTz~X%$gN2UmyxBM;6IhB##D%5cBi^l7b5T+Z?ivrt@wcId zn)w~HEu$8eqDJ{6ABsGLVb7kQhrK@Sje0vFK5L+zF24^T<%X7}lsGp_f=;&7FCtUG z+N0TucU~%dVy;vgaofko>ig0W1S_I8V&d?O!LdSdtz0akYJ@}^t(iIB7lS8yJEE0E zgOSsGT2nPUTGpDORXwo3)Xg`#B~-4`a75^-xw4s$Y$ET{K6>`BlmA+^b{KIA`6 zrf(QJ*WUF?J%wc$XffoXQLx6co9HmUP65`04PlT2(HS7!Mdl>y=gtAk^;bG?Bah)K z@-SGzz0_^N=2(x7hS)4~o%2sW_@g3cp90q)t=3I+tt@28xEA^JQvc=F_f0Ahql@

wE92SqYA^AbLRzqtw8!HEH?&NP-WW(~BqV&b0()Vp zi4!rXO*>GK58ylWs5XbDg~^0d!pfE6GL8(ri>FKYV0B41km0+XR$7-sc<-Ao0SyI$Z7rg7hUClkGsJi^$qRuPjkWZ99tHcks?pu7nY|7P zH`61Yi8t^Q4Wvb z3VP+fPfnV+1;#UzPSpxn+=j7lZdE+-I1<=K+awuQ`s4K4vB}-VleYCmYpTuf*Yr;h z*2te|4M!%k$xgp9%V#ci>-HyY&Uf^P$Wm;r2?6_$;Khl)$<>WU-!7lUKN(t3CO^dP zjCL$J{S`WgfUe-{0_mN%(NGSL%u0bVavjIDGp04I8={-lZ0fB94Q^~dP0|%+Y?Q%T z+0!K?vvPv4NfBjZ7(-SWo`iki^R+vWhZ-v{m-S8N2RLM0h(X1|Yw`En@u$iCqSaEU zOf|Iq6a-kAoW-&qkRr0VZ?=gO=xU_*$SqzGv^7SV4RE z=!wpV$K(2^(wqd&v(Kj{CIS-6;hvK|4m>iyqw?b{cEz~}{KD93EVff0y8qmv0`mL< z?4+L+F>=QT>xr|-Jm)PfRb#U-i7S4%>Nu9S;hj=ut*odEV3M!Sb?mkJIZ9(B;IF^` z@pz>FB3Uh4Fm*JpB}<6Vkz|wcb|SM&@;B*5Y@!|4U+vqkPU4mncXkS7J2!6t*8 zB_?3s4T9%br~OYC9@cm$@|smG%>HZ68QEm#zr%Ew?xK1_@?7P7>hlVl)hoSZiTrM9%E0|Migk4dK!!c;NH|ji*{A!JCDR>b&vA}m-IQd25oa;d_E_xv9LCh z&s6vvN{SGW?M!`M6oQ#;>4p2UI|kE>kjFLP!vN1<)_w4PX+0 zzE%7IvOT;rzE8K68Vz`j-T|K^b>;Ga$A|Ms@)$frNXO2o#jx$E2C}=sGNJeCUatdf zY8s&d!MfH&JgloyLaPHNFNzF26O6 z!p(}ne?Sfci*n~>R1~|Jm$R>`-r5ae&%W@lZ!5(Mo$~1Z7@sJ5w=)`l%)tRc>A|CV z7lCz&SyNpu>Tdh@pZWDx;dhO(6Yu9zmM16GD2BE3#WZ&fQ>(Z{Tv%w_F^M?8b^4iI zS{k;J2|8)ZW9~}00aw)Iofw;BSoMpK5j1Y4DV<7|V920|X^V`E;BY{+Z+A5p+faXW zzs}f?AJ{C$+3X5R?ZX4BfQDXFCQ}bTGz`g*$1vm$DxUH06)V24=T0p_%+QsH17?F~ zqh;%*kLg$H9TnEA@L+P;EbSI%aY8DCi4_hN^iS_3G=NN`4S4_H^jNP&%_zqY(rsVL zU~{C9r?*>!e#yll#ru>3h%t1JL;I4c`Nt_*{SgPZ1=PcWV`-4%dcqzF2cjim#`AU+ zL_0bg*iQg|jQWM+n*c4W$oMr}H}+~lhLes8TOyugqb`_WAC*(b|9y2YbQ{RbmyrN% z_#^#Wp_-@HfXZ#LzHeSlM_kW92smRZ_v72BENVTwskE7H{>^s&ujnp2(h7L>npc3= z$>&2f&z?o_lMI)MrdzEsoK)75O3TDGQc8He0qnlJ65G@!)XYh``u{8&mj%4dPDB8= zqgun4rsgz*T$84PZ%}3`{w**PW3~EBJ4aK!L#IOGJ zK5(Py8^}nbNMz~_=FyzcHm8l_h}z&*2}-;SekO0N<~jjMSeXJyG)>GvlGCtDm8wQq zT=o@d4R0KJU{ewo2RK+3bqVG_>`w+@A>4#2PU3sOLr7W-&@k zfITF38bur`O&AT}l&eprd&VPf7|7b_`0fG10Oq8xBcwwS(T;V0d-766H+!1+pqI)W zeYmBdv`v><%JAV4k=i0%RFl0tQ^A-3U>@+jy=C`=oOGWf?{`tTxvgqcsI*A6u2DOG zYj#)VCBQRcR`kY2Q8yuh7qxRE1HI{xy74_R?dhyL`nl=5J`K63ey-_r%=y*#b={Nw zmTjP*)WG;k*?%DuAiV=HH0)_UT~hZH-O#Ksdl?2#RIy46ycdVtf4RV8zXmMca zoD+;**JM0)Cu0O96VTX(ak->+2DR+WO!~mT67K0jbf{Q5qF@f$c_ei-;gm%>f0PZ6 zNJ1vA#U*#pVUbP%>WT{BIjuu0%y;H?pT!3Ql;RWb4QO`PTJ9mh_!Hd}5~o$9Ef7#Y z_-kojRGYP|M%2cpSOiHKKC#!v?K15cjE**fcGr(6SzueyA6Zw8NtAH?L}c)>G6{EB z4Ee*%2A+oIY550wE6j>mBHQYopMwV$hx3NkwW^FPy$!(^e|j%t(x14t5@zNq-T8#Q zqj#k5YJ(dIi_w+n4r~p#DCS@a@E1agP{>=DRo)h<$;L#V_qEJNF%s7e#5Ps;LC7Y# z{KC2j`~^iD#^xeDDvKfe$`wXBKM)gpKA$k)2i;F|0aT&^MC6YCnE{ST9^Obz1O+GA zq&nYw2R;garQ@uitM|2hPjC2oo){sf4an@WJfz4j1{=+=yV7{-y|Y%-hZgpJ4U%~z z^pf#LSfw)xa}yX|RlUmSvKL}p`-S&r+aaG-$&Jvih?8kKp&6#D9`{0Qs4+%D(m>1I zC)5iJB)JE<146c>Iu)+#;jW?>q|{STl;TIF4ZP^;V(tK(Z5?;_KWzUY`u^(_f$To~ z44S&3ZA1-+&(Dk}xX6gL9;{gsmInQG;r&kAFE%$YDKgMArM=d$R?K%DoOM!25jQ$w zL-Xlzu(1gTY8b+})%w=`aX)McrXl^5QfVOjqSofIRA-(ifqDK-wDY?AI* z;HUG$85hddW?m);YsaR!bejw&U;H2`JuQ;bLH5bo0W}RFV)Ms3+pqgs{MV?Q9CuHC zVfrN=2(YZroW#5Ri&1QYLq)^)?5X~5?*;!$@Cfqpy%?PvOgXi!IaWWn^Ui*p*m_CK z{ph;vRFDQRlVpbvgvt)IOf$SvrZ!xMxEfyLH{wsG`5!&%E=S`#$@J&91oFNz13Q2c zMxE(~))#bWJ-Bg=+tpn8;^Y2~j|UH*Wk5w5*K+MD;sq^K0@F*ytJxfAkA0S*+(c}K_)uIKR33uaOKf1MyzF9Tm|a$lXbG`X6Bg!{7f`$U`V~4 zAn~?*V(F@OQCI@c(}ANJR9FF@K3zriFY~a}W6EsgoEa$*6Z2rfg5-(57UwI&TUy`3 zUYac#KG^?v;e#_qWt<%PPA%yDgqj5-ZkW~u(A+H1%Cm%9^Li=Jv6=-h(|Rpq#ZJO2 z0;=vRtXuCd##b==wOxd_f*e7N)T9pqMVBJO{M8n@(Ds)We{11mzxs$I6UyMBOnSd| z+Y9pi31T=@8#n+0dJp~`;@GdGWUqby&Y+hs&2Yd=f@BPg{^QrW05wtx>SDx5^6A6K zhIV$_dEZHPaP)M;e1sD9Tt%{&w#)=)n8r7`aA-DAM}}m3ySmimUY}qjmDg=6=yi}y zg5m>=6{Z1Xe?KK61D#KYK9*ROn4t9V<`OTYL4gvZuygw;ehaW^5siLV03wEzCzFpcGwWsn`F`>kk=d zUp)ggNNcDTzKf$p#k~$7o)b&^99i1xZ+R-SpQBk*_Jp1AOMfIA;m&%@yqj7fkr^`Mwy?NzqU15fb zge;k)yWuQXUT$UOrl(k``gF0wxh`yr{q45RHnymFW1=hydNm9g!Wfs_)eTo*Vq*$O zN6Q8v>+nqb9nBXC*JuhEoQ=XJ#ik_xXB*f<@NFN4-Vi(M>B*<^68?e(gvE&U6EmJyp!Jq{KZ#E|gTG@Wvzs>}+n1Q#a)KxoSFdnN z#xF2(+XMn3M-DnRU!C)ufO!JL0LI4h27VlciEZT}QXm6QW|!hRMjqDwSflsb#@v}U zUxS8MMCl%vk8fa96FPPVs?oc3*W;g4APu^~wjw_Eo$mOtU@LChGd-wnhUE8S*w~3-k;wj@I3T>Pq79*+t^B6=Q zShzLYWUW;;fSnkmHnea*G@~_^AFGn+oWs^g*H&=iF@Ju!q6%U;xi4tW*y{`nGj z6hqkU!16g&o*3dXs#O+fuGiFy6@y&*Aw-S~rm=+?7?^t#cme^8t#>);5kA_TgIV3Y zAcb*VSjVkWn4apNlyu2S^F}Z_0)g;RZL%#WY6Q$9b4Rl$xbDcxO9cNxkH;l%$a8Tg zHU(Ryy?KbksU7Q*yj##3eLWbL30D^Y1{2jjQ@ssvR!vKtaID}MpDcS28Sg65hDPRb z-5O=;mVrRwR{hogP_uuUdIOZ(RU)1XmS(cL}zXjgb7He7dkVX~unS6>) z=Gr3e!uG=95fdqEryQKf9A934b^>(;W z6`FVoG;bH40F#F-ra|O0yE^Bx#A3h!d^$b-7hyFJ6Tbo`?zD}FT)d3WpXPt7!`3KZ zPu~3_k6P?dTq}3lfn-rQ@@lnt+#T|ko4{TrrF-UPYtW$&&HoxFcD1!40EH<>JTkuz zf4)Vv8>6s0?%?C^kB%%R+m zW=VTHfgOIX#cvCy-%0L0Cq+(AY0)S+@DY#t*`!!V4R%6A&+3OC9C;tr*swK8ZpNoh1C5%XBYo6aL|J-n)e=hdBmoSS^l_} zKUw$)?%ZKgu$7h#L=xE~*2z_ZzMpElsFsj^Zk)+DXX-)W>SvA$8>t(G19!9$*bCEK zZ5W%*X%&Ut`PpKztcH?;>*p#|nd#curDY7!*I-8%0Cu#XT`76E3g(i2RQRoLH32<6DcyZ zVeU{RR~cRB+>EDyf0cGvUzR~Zugd{P_dai1)EWGd{H(#|JKx@KWw}4temc~r+8lO= zrcW|yh1?N`sEJ#CeT+C`%S@Dxv*8JRMN@7&@9t`I^YL_37DS#DDi;dO=o-Usmsm+f z9bp_ZIC3tXX0gMq!r2Ec!vravk91ii>3?1TL2G6PI{a{FsBcE+>V?)9{U{gle6=?G z$K5mhfF5b~5Kv$+aZ1e|t!c@>dCcPSR0WJ1yevT=>k^|Lly3%2bTUuG^ECNjdZq;W=n8G!jpiT5C(h?Yq1{BHN>epuMHpad97q)9jzx9Rp)xkQ3Mg=s3Bcx_$~(hFUhK$_Y%RSWl&B%%y8P#&yh;yU zW4%mIDXgacVXpDP4KmkJn3xseln&0ZPnDxP#U#;MmU;Vo+p>%3ee&>t)$TLwtNAu8~l1sA?1J|$CdJN#Uo{gy9&%}uTXQl83WW(I(TWG&)2qK z83I8$MQCRJ{$k{s%`BCmW7$M-&_T~30_;E0Yx41 zQKc-15yqo90y+lVS?y~;HGg6@h<17?n^bRk?FRJc?hVHubgsSG|3UFt?I$)z3j3N$ z?-!-YXIfdr(z3eGe(sx{R}J-1y0bGuhoysj@DwHKIzFPE@9#536g;K0{KJ`Dz?0F< z^Sedu*;A2D>$!{gzfd9R)H zM=d-a`(S(`L719omB{$I3+@L&yP2hBmkc%4peBdP4+okXFWTKb`pVt4V>4 z*;WhzYVv|Em%;2^S;()Fow%m66_hK@-xN%_)xyYjM}O2saoUnaZRt`g37PrxOcnY+ zmX_n1jlq?En1Y#qV*d61uN`D$$SopmvQ=kqBphQ2qBF4)dUz+^>Ugy|VwzbIuWY;a zF;?M=EEG}22mVcEs35IBB+V@<|I|@`CMO3*tnjMs_!(M_aMdR*|dY5*>n|{=MOUS#u38mz3{(lz- zquT>RBtKsRw+8J-N9=Y=!Z8W@xmJH6B&WLL=x=cpcx47f6NCN(JhS$(v)7y|Ielp7 z&GjgrRMS*`s{CsQp_OQ5(4ZEtK%06KX2u^i46BlG9D1gjPVdg!5S{^ukgIFgH8C$# zqPlUX4}H5BEmX&}So`Omy;oSidBknA2VIp_e7JPk5%_3~Y33ypqF&z?w7R*RX6d-= zynS|2IZq01SU2x*{apI8U61w{(b$*shl(h1Hkv9rY%Cg7|@Y>4Skajp&HRPz3r2W9nicUG4@NYCHsJw#^! zI0X)*xciU48`V~#Q2?W*S1~K#ukS(f7|n-|p=vGRQSrev(UD;G1Gr>`0}AiXG8mYL zv^qK(=9GUfbuReHhfBE9%ki=PZhC7!9a+)U3Yo$0s67DP!_o|MO40^<%i@Fg%y(`N z7nu)n+ztmC#s@h&?;@Oim6)O>_H82-SZht~(4f3ciK+c^UN(e!p`!m;Sq~WoQh5!z zUD*s{v$VwMjJsYXttUpnhx%24%?9x|vQrqT1xz~A?u*>IsD+k~EwkMWmzHB5>k!ID zZ>R}z56#)C{H1fh06TEAoN-Tl(*Je8!T<~F>re^%&Zls_PI(yfL=w<`Sk8e&cek@~ z$J+KVnc z>};C_*z`=@e)@D%=_ER!Y37@;leDq47=&@q`IGX9w6X1)M4O>l{Wt#6+}<^CT~?9W z+qucZ03kQqV2Gn8o*41JVm!FJ%B@;idY!?+GFiC+uq+MV;ccP}J}=Lt@QW4bhFKK< z`2IboGw!^0O^igF8)8gUKM?eM5HKJs6DA88t8vyzwQWK5yO*ZC?8Ri_80ug(Yb?e)wc(JY}>kZerfsLS*A1c{AzlD zc3H%1?rSRwQs>DPX3u>`;Lfp@y+QQ2sUuD*z?Jo{c@6HiP)q31?ZHTzb6`2Z@z+`f zN#{UX0W|OJQ}A(+jVVA(8wOoRVV9=BPYgJIf=|mfZ0bw%1y8ah8&>FvvW&yU3!(Y_XI-(iSEZyuqE5U(peG z5Zg$YlLe$YI7}7+>EUTHXZiILk1a#;e>zc@eUGIKZtenwVtdY(ag}1{Xv-*UEyL&Z zWmT2)$&&xQ)(+XYQWl%{=e=T5G!Ur ze`5S;`5C|-HgN3362{02wbOpBqI^)g#k6rJ0X2(%vC$_yNB#7{H#6w>6)OJK$`2qG z&Xx7~*9#q^yk~O!5uE8RV`47M_&XH#3;xK@>)$gls3G^bsG(Mpk9@KW@dmkwlYm#N zoE5S5D0(%9-KxzRw&Wa2hu3NAwKryYhs#JuTyoIt3m)0D4+V1hbxGa`i1E4IyIF@J z`h_U!6tPM*<(BL~t@A*cDnbb>$T_O!bSP-!X}y1Z-|Z)gRk zoy0(j60@Sgvd!!v+C?CoA?{#6zDnRLTn=SHj&~N)P)vQG5YrsXq&9dPY^jN%kdz8A zn?;h)0KYgF8S~LPtz|Je;5?7E^G=KpzE@CpVfNQ z=NNpRb&5M_Gp*Iu3q5t|25V;M8x9g$iKxpc&}1yyP8&KW(GKh8E_vm?Hh5s zF{QJno=LCQFN5>r=6-Uk&amTzkIFVlX_(X*5_p2Gpv8D#_j%MXZ5;uoWgFe)4ybo& z-g=29w+u2b)X{UqycUAv_s64&`K=91V-+|i1j zy2w+swN1Ry8q8G@-eM099Pevgxj{PP@7Pin{$j#ghdq(lc6c8F zX979`YV)|_!ljMrj9A7b!AvITr03H~pm^(bVBCrmaDv23%r4*E=lBM^G@aict`n@* zqt`w;m-UT>PC2RpPnXGo9>x_$arBKte*H#nTY&mh3IL{&+RWz3nQ3a5Qg z=vunE!29?8yOaM#Ka3j(ZKov$TMmZ7&%&XZ(9`PU3pQ7`nOA1`(E&N z0((ohx6Puk!a~+XTuRP%qYPbJet(?<%AL)_t}+awI|Ze)YTf!@1Ji|$E~3BpzMS-L zUIqB%nq5mtomr)HeU{UGXUF!IniWk)!nS|2?~4I7`{LP?dqy)Gz%dHA~McHbf z6w<*Oq9rDxZ3G8nI@9Ba8ewVv%uE5sO>d6|hfCWl|7CWPzbl$86bKA5CJC+(Cc6~< z%c5;=H248Lk1q71z9Ps+F2(8LzHzDtW8xFDREh;#XBgH$!wq`2{ow546{R~&hkYwQ z=skQ2$-5y4b@ztK-iFliXL_ENA5(3pkY1h)(Md~3R*k@R4=Jp3G_0}{MffQi%_lD} zuR(#qBfYrz2RJ}NIt?9wN6Mnu^3m|M^OKoiQXBecKvIQX*d!w(gQ}Z`m!gJ0p=S`* zl8YBFa#8z+XOuBQ0Di9yYgyo-piLH@2%0TAsoef>Pjo2ig zaVqpcZC5+xB@0=rpcjn-Bwp!+)^=qstBza0Z;voci#d^amm03>+VJRfXLOI(?SxUF zZ6s}$@y&w4@U=e1caN3s=o4&!n#wO#Ed!R#uiYWj1PrTT$bG29KvGw#TvdAa%P5RX zuwVM~wxg9u5DsZ{gu5K%IIfqQug}l;?c(>}mXqJRw1uYep52J1F8{9n( zf=f?gW4#aY1<@t{vsdb*)=3z#nulFZxmTN8?+Uf#EbMi_)v0%3$9GoqsHwLUy5IMr z6cZ^-6VC@8WOmYade(To#TqTq0?p!a+NJ&*n_cyD<)CLkCl^tB=>Ktm<}|v_$q(~- zm5XrwbFb7@*wMT(953({CeT`nYW*Lg-UOV=c6}d4hLtG_Ns=iUBMD_*hNNVkWr`9K zl1vd6B8o&&<_tw+Xhhhy*k##+yF-`91HZu8JY z z()_d(MD3OKl+hpI72#jVWp83Wd2i4paWY1xZsczByBBZ1Ue>a-Rb0ZHVf|@t)6i>8Hf!w}x7FGv*Kli~Wg!cz`1wu}V);4se#h*vc$KRJnq|c1jujq8@ zRa+DF4hZLFXQpS042RVE+qZWBI^xr0(Q$MhQTbq_oytG^J%-M=8czCy-=l#rLAj*2 z843wkx$9=Cb5)?`ce_tv93{X?&uZ(KQx35?q)6q0{=;i52+!oXar_!_EIwq7|7;3R zahbnRh8@V$dj1j!Mu5IwBUO>StXijnDCU}I~TcxZakc9G$qbuiysHe2PND{OHB!P^n7NgF|dF&~V za$S$)bAV|EfW`1YJLTi=m=uhm<1t+Dd-)zLZ!JIti3fGO*wWu{B^)O1nWfKcaCDI;1Wj=Wrn5DhJ*}r1onBL^A zD~rF4@BLK!yPyVIaN~L>vUma2BM-R|=hN-LNx+|kf$ZFRnDAkO1>O)wwcd&QgU~qQ z{SBE7dXJ(Rt3PUBADUL*&0gK9cD2a|ryp>CqJ8i0PlLa5`!wY{C4X$5>y zNd~AOfkzS!P_WxLV}R6Ad4Ghide?sGXBA&j2?&H2l2>*zLOhJ*cE&1^A+=J)-C7%qGa&#p_imIfm7NA{b7FllZ+&Ea`z&_p??}bXWx_@sT@m#LPh7@ z3dTGZs?yy66J%tl&J?gI-O&~H61^fCOCXl#&lLEkUu-x#13zcuaDxh1=+M>r)$fl{ zQv9gJp%(wH>AB$lNM?fJn6h6AUAX-o*LUuVT7>@sSASrxggAJdhDbmn;tXJQzBVKA zmH2yOqd^SDhE2+4sA|(-L%jA9I`0`GS_o2KZMkLBjr9)?5aR)HwxT7ji17Hi&wo3` z!}%R?3+w^I=MIMH@YVrdg{H(Q&zuFFqu&20|PZ=%a>nG5P)*`NhPl_s=MtN1TlQGHSrtXXs(c~Kfdd* zn{U|iNoqA6--yvFE}A2C`>d8S_u@Io3pwfXU!$0)1f->zy$V(K41^C~lB6nXns{B< z$)AT$WkLtCE7%)6yhzeCjPgq7zi`YKM{?zWS7M}7lpd4Sc>RshGrFu1kg)0jtj+v~ z(p{`z(OTQ6$DzF(31*&6VOzxFxVBJnGq!zUVFf1#7kV~Yfn>e?f=~DaUJVTFS5&;r z#>2z&<=eMit39yVK_PPK`fIG~8+C?-D3&Sjkopcin2QwxIdeLkts8?6+-u+V&zokI zqVi8RNC?jAY#|EbuMRnTw)BN-FceHsD{9Xpux1iCTF2EzLk=1Pk$YU0C-AQ}|#Y^dSL19Kex(U08!nMB?A2t^(w|Abn~f;Ij)C zu}KaTNrD7DM4DHg#gdnd{iK_VPe-83d8Q1Td!r-Ot*@HN=GTQu8yK?b9=+Sa%3yl> z_J?IgA591hjA$ybk#2}nfC5~iRz{!xxfgeo74o_N3?8^ja2trQ8{0_*Y*LFP zWn0VECEg6ZCCq*FE92)(tU%}j33g+X>_Q+{#j37XQ{z>4-e$s25unUB zVJ&B8kAprlN`nN-Ojkxe^=N#dgS?!x3;iWBlH4Hjs_nQ9fX-hTnrs2#SV3txV5i1Bfd{PfS}lvu1-ju4x8odq~@g(x`b8;tMCjZfU8MbyyH ziEBs!-Wjq|+W1>M{`hHe{|wlH*iOClAOwR*ZerUIk$cM;Ss+j?+Vm8|U$H&L>W)>* z?AvV_R@5y*>BoYUGyc0MRBxZoR!w%{?6i%TT7lOb+Ze?VTOa+@#!3J=;hi)}0ftsQ zaw5l0i*rX|{{x>`S-GVV4s!Px5%=!pD4GKP1RE1)YkAJ6`Z~P(78uUqK~Q(F6E7MvX#Tgg<8WI4$f5C)O>w?_Ag)4dgz>uJksmL)H!_Z!1X#%RhfW-l*dz=#NO*xbu(MO~J14H)m&2Iwl>NISpmYe*qhi zlW-_Xaxuw2+7&6;_5WjdF*Q=JRxhmtH|i)yXy+O&|B)+Xj5w<-b+FQSXEoUttUL%! zP47@w*UPmPIRkDO80n0D!5@Q|7p7sZpn`sQqu>0`T1_PGprPUGwX&aoPs|?8ohCzcy?(H_^WiB>$&K-}P4?j#XpFMK^!lJ5LV{VX}aGjLR@qu?QFNQ2v*%({gGrKr5 zI@|Dm^;jl~XJ7-hN_kLPY9PEBO7gCOD-s;BMD`E-k|;POWfRq9MMX2OZO-mWw1}i) zzE2W}a`Y)8UFG$BrB^N?fw7Dyf>Js-$1<{KVW?6tsbh?XtM(Kf-&`V#{Fr)~=Lc~K zEpvf5?+-qRnLhBUFZ(9l(Um&!E4@<@Qqsov03(6=or@43Wz}unkEom$5!Q9^Bg(uW z*Z_BMj;izbjgDTmDCLQddd!)2Hn+~UL;P}+*Jk$r(*h)Qgemcnv>DgvSm@hy-Ja6C z4ad!uurGUOJA%R*-wHHY!MDduFPVomKrrl@zGcd{8HSqeKGgf6wu(q22b$=poN!M` z>2Owm*}Pq|7Cnau?N7WduSWjw+Ro567KJ;?0Y3&T>>Gd~iRh<6wRh*(6y^nmnzzs= zAlYf-`{|`sM?HP!Q}i2@La}Oiy2QYPFT?y?Q7jgTMhB#CwR&(f8gpHVycRC`Ue!Ue zD~c?Th8T+d1}eLjRi8XvVWJALS-xzoK}?XBeGos09l*S&X6ok6o7l}G{QE~nlz~r; zG=^Zo7UgjB^rU}Vf^SNt=J!WPuy$cp<>fo*E4n%6)$7-v+^!<-$<5teimMCc7JlKc zUxSfW=K1)WyxmgZmZ%NdMlw|ulDGBp7~N(!SuA!e)y0uqnX$Vh>N@`vlkn=cy*Fh^ zB^nz(Z>#G93a_nw<93;q4a|G7+xTtSRlyk6?BXTO#IYExx^vX$1AhBJfV_BLI7VVR zW%FSWP;6olxB)CV?9w1{N~mV`PR@HBY2Gl>2FbOBYsZ<>($N4Nb+Zkd4TYwBYUZXdWX+ID45U2qS^4<-fch{q|0kK15B?KIw(s3MLbxs} zU*M;T*YT<3Gl_ek<_E$Fd`oESUMhdtnvXBA={i8_f{%@Om;otWX?GYgH8EL023jU1zB?YTMmAiWM!=}A++&lAsAh}n0< zQ^7PBIRZObwgsF$18 z^W80MC=-p&K!S)??}uM9eN_;fA)9}7Dm=+Azs!>Nu{wKZD&rJFs7QD zbSaw*XBPq+YQ128+GAG_pA^ii0F;J35(17KU3~~qbylZ z8Sb()vNg+pidg5C^1aS>Viv^Rj}4P2zWwocp|}KFaS6i@oR?;P-Tg0hLG%07=-ubs z{dW)ELM;YW9k5nTIOoL>^aUQ%dw&97hk0FZ1^oOd@pRko)kgTcv@Gv|T zAbSh{h)BEB-kt9P*pAalLou{06SKLQK@yt32o3lkOvUSZ&L5x^zedW=`SqN7Dlp2? z|BaHpo!!-QUki?=USH6B_VEX7*SrUPFXvB3MMYshochJap)F-u#?Q;DL=aU=7$or& zsn%F{n3)a0T32zZmoLQy@$7%smzvHFl~IR3ITsGG6XExmeINS!=V?kG93Jj&Zv1yr z5~N`hl~>&(3hUKfLs2|&g{s>CorTQh(MEf&5#MH7KHQ026-e}z$>Vw%gHVO{ z49Hz#dGlNg-=qK&hMn6QI1=m2anzoe`32he^=lw0SyQ8L4CcQZ3)(6`Ceh_XOnr2l z@$Q5%j1-=Ua%{d6@%B}CBo|bqcT)H5tYG|NVGbD(QXi0>Ut*WSFFf?y<-`19^ZCmX zeHX)%Vzby~jvRqSj%Eklgs~6b=OdyAUrtxyq}Qr~qdUrxzBIyFcAL2gUYfdv&4!-I zoHcKyp7ZSIW+p^uR*mD(^KSbQV5n<JIvO8aE{AgH7wWPiuxfM$s@p*|-JQ2ppW4 z@kU<0{E_*0C3BP7n#_ol`VTBbaGj2#z!2|_p^;JIQ4yk95?5?c!zd9^0(T{@Zt@ziNRR}|crB?1HA;WwQni@+IX6E9Ggt(FNjUL;cyqijBXVI7H8>IQfJCe`!2=e`)~@7KJMEJ*kC!v`7jh5HkF%6v~XwD`&A2A)t~GP{@9W+@*f z;Lx1340S1_o4FK z$B%7_20TF;51NY{y*2j-Zsw0S?TO?-I&}PN4*L_l){pdo)v9vqgNOZ%XeG4 zxVZFefAGO)1(F{^-Fjx1@x7{t59Mo`E(2mfcq#%}kpRR-hAe#@vL9<}>$En_qZ!J> zo;7&>)S^od*Lsd+Wa#Btrbrd$C6co*x!X|n?y_T7C27epYFM>wmFlV>i%ZPGD?Wd} z_*VC)v!SbRQrcjLX^@FjMktj#47{#I_h(YB>Ox+gJo&y%5TBM$!AKuo+o%8emqsX>VK^y2S3o38Q~HGk)e zB)23L)8rha2wRw%&dI4Y3+z??!&TUH+yeHU0k?Je*N$~Jn}P&9Yv)&jm3M^a6L&Xa z-zazm$AmP}^QWOD->DjWD}NgCcd;zHuM8tMi1r!2!6A^#({M&o&d#0mc zJ77>hP;Wu_@lfF zwszDNL;4_|T-HXVq{kk61t6)EVers-W;P4eziSKNomtl9;akDAdKEC~b z4q@{zLE?v{ei+qBLlfZ7bs?m--A_C9SnZ{l1{)4%=7>IiH#$6g;Daa0U)JL7LV4z7 z!iBAC66ywf)-wc_V%n0}NIJEwxC%r$z(5T7$8HLOn-T&C#|Pwo-@}JD?wmQk%z* zw=1{c5yIVOOI+PK-ZyOZdNELuk^^RfdOGGnx>%CS2BEh5eqY~M}7 zR(2am+ST7$eNWV;$;pjrPU`phZ|8quO`^_ z3URi4!3yCP{3*GE3<{-urmm_FfF0nIp5BN>^ z&l2R{zj`H{taqwAE%~kHWvv{{VD55h04(___--$%zDEY`vx8@DXc%$CnM!uyVF(xR z!6$g_DeP%i4!S|c*v6NL+?viCoWa%bI|d&=U}?o(af;5kl${)=eyKo{Il&AiiBv4< zwr$%I=E}#JS+7Ng9(Lys^STHu24MPk*3_d>?mX}|dTV#gF4a7I*y;*Xg0~#gPL@BE z2{J~-dpv6UP-Y3OP5jrj4)H>JtHTBTV45wb1vr>c8}N&Ip=w}biOOeNF=^>ggk%E> zK9tW$p>8&}_^gK{7R^t+x$Amq!yXSUCHR^kg&AssH@@J8qv~+xNReewLb?j#xT^B;GF?qdFdK4&JvjD|F!W1O+F)Tz*F8!3!h%{ANrCRJ5MGhY{k-R)U;(4R3=A^mS`-I?6|C$((ZHsm1O@44t90wy=XZU zta20mEazw7dkjguVg2_Ek$?--7;5QFJ5}q?yp^Z)0duTPdWIg~Ij?_AL|gdRBlf>vf=qyU zSUPm23u3xsw`4R#k}%bxb#nm){F_40ojLOjMe1+fz59a<)H7(*!apRtPze;g zJRUvm8whQL!aH9R){wt~&MQAYE_)w8{%$T*W^)XL-G#Oo?=sR>>7R*XVo^4mV|Y?D zXR#54;aooErg@8JY$DEd8wV=G7gC`YJx1sOM8bA&g@>jlFay-RcC8rQFDe47g4~yFQS*Tf#MBKNpLg7D0ck9; zTlnM@6t1le%t<}&yTOSmF4sI(;jXZ>pIPgrSyDipb;lK`nP0k9Gq*veddEIhlOW=8 zK6BcQFd)8wfxCy9l#MgX;-z)7+HqWlrnlb=IfG+bp2r`v;4eZc$}tob7Z-1)0g&$f zmavA@q<=(?g>ZW0rQa@`S&fY_ri125)P2%_mDVFZ+PwkXU8y*I>6#yZ}-u@)?e(}+sCg{!q_z*0|OWr4PF+d0TaJ|k!KQP;;u zXko{rg<~zL!&xLrgG5C1VVW5Mgq@Bz9cCM-AO^kp0n-v0MsNc!`74(;{NhG#<-=LZ1f6s-6*PZO+zH? zNW8-6v!_OEWX#dX??s%|JXdWv+x@~q%UZ8-^x*w7aNQMk!=r^ay~CM!TYi0i$Fy%9 zT#+QS1c(nl;iuKDbb#Fy4;rn`I~orbBXOYp%znq_??(KH$1-KWXk@;8DMwUS@v@d6 zna_d=?hPl$$wsX{}tcB^%5uni2DAXxu!@0HVk51$u~Xv6-quC88nw!(fc zud)n9F{X(pJ6S!*#h$K~2Rf))eT&Fv)b5Fr?!cSx0$fTyI}FTzHmBlXCX78h&%`6g-Ux=l9yA2w0e z=Oll-gW=4Ly_Wy`s&HZ9l$iHlHZ&KFt+142ZbK%=W+!{wpD1j5P~1Etbk&G9>as-c zCbs3{du~2Pb9Lgby>xwU)pydBz=2<5I8S%^@R*$omyzXlJahFi{7HybZiONCq}I4Fn)9ABw@|3uBCA*NG=F zf{BIM*n*Z7WPyZOyk`7pUgS?A=PDt+i%S zD1`>NEV0F!=~jzV9rgluIUXlBEq>dLo=Qw)Q6#3E7`o(};-&c2?=j@eOk}v9TBap+ zauXF7IrslNS9#r`#^cvjo`N+n$`N2p|MZ9R-AA5DIWS-H|4w|udB)u5#yW-5C30h6 z;5LqhCF1cr+vAy6;2_|M7v39b=o)9_5-Ib$nbm>62rB4x-mon(l(*layrED6ptNp2 zooz_cLyl%4N3y&J^+PC+wXxZL_W`!!fVrM@ z+ZGmEqNMsv&Ab1SUg+uT<9l0~xFT(tq7t%(iPFBzfqJL*e`#qv4R(J4qeZqkmJU9~ z^8hV}L5A{yDF#8(#=8ar6hz^a@aZSNwJ%L4PwTK1l@RqE9E+Pl>wgGD}yUJ1aP@YA^-^$MH?9{7}-OU!I zm2C({K=Y2`a=HI1*l3b~WEHUILVrwFuBWJ>N*LC%)v_ff=nXuCvwT-Ym+%x^*i#(-Ievh-8p?3P}rxY5Y)K%foOLuRvKIM4pxR)qL z&S@mDEPU&uGulHEuuJcz)xiuc{c&kEK!r`)2#bTKhsWL1ztIT_Y3%r{H=X! zyHQZoaR0s@qChn}fK$U)i%64YHc9WVdho1tRY0b^2YtZ zcQ`|_`W_Ww>b~c(+$YB(#$US=bgZJM!yNzS7!qPgO4WWmPEM%kOknPD$7qf8gZG={ zYC!@#d7%j9jY0*U?1jW1+Wc{{%_oK(WKc@_@7?X4YJ2TC!aNSRa&(lHe8qN8v=6t( zUJ*~J$fI1C8gU8l=g~iy9`&7CwYl}c_b`4Ax~$^4t@gb#N0s>wkyzxn^H1op?`=K< z$tkuAf$eB)+A;J9K8EO$?S>VWSMR7j4_bE|l+4`|Z=&OjT_o z%+v2HPZ`MZG+%wcida%`;C?jQ=q|TAc|8%Q zRgi%s@b3FGUE%O|yM?}5bv!PX6$Yk4^r0LaQD)qtJ@SgihpG63hPzmyodQj^B`UUT zoAC2A*h!b%gtTy^henE(zlvGL2Ptz;(o5B!?J1(7k7${kU;eX>aE_-wFsDuOk;vmh z&cS~YwipSPa7gkuM`Yf8`|a22A5D>7A&P5S)NKITAF9(1@z2rLId9a){e!?*j1S`G zeI6~DuOPAmWUss9V0w>-{KAD|--GYozGWH+F#H;Dkd12T043pA!K6)VSQBArbd~En zDd*NVvj}r%{%N3$TNZvxXc)c1zy{p}2$j>PtssgBy$M~0J(6!pd{RY*u7Ds6hv(8N9Al552LbzkU4L&oiA#!6->St( zBJz`|d~mHk=ZZ?wh%xa%tB(n9kJkYi0>{JosmC1o_0l9ruPcwVY77&r|8`zXY)s>Wfux` zGG<$jM-4>$5e!ud-o|tl`q!V?$@fe<$Gw2D#pX00 zPPL#3qaumtb}%wG4*&;fU$Tc*H?{lZ(1w?TgQsfVt|+Cz@u?Q7%F)Bhr;LE5l_GW< z$rK0Su#%${=^S7T<0dPoGYv<k&$+~E|sc4goOvX~!qc8VsLq2e|`i8k2GfYGiM?X=W7YJ+-ny}>Oi>hj@ib2o(WEk%;H8S91d>?jn2PTe<;O-I4mk1Q%%`#`*G z*O!A2ZHRGr8t@>WbfPZC=;f<(V1(ITh;UsIczt`YEo?uGk~ce?`&xS?#x@}g3-TT+ zan{YRr|EvD*4rUSqoFard60tG-M8NW$q2kcO#boX-817N$L?@Xi0y9tKP>=bB+`f2 z$bedi4-x^g{nPlUk*>qAZyGC2G0blTi=5g1L*6a`Rh}o3_}H?1KF%aV`*l%A!njfn&8?`E+NK+({enw))oqi z$G#{N@BEl_-hf+x_;mokpJTT5$SVn!d_Zn9qj7B4$JQ_f3)$uH#BKC$f_ZHJacEfy zFyAC-Eyxm7&V7nA6;B5&3}-mOEsg(O#^Qo}*!ReSAW8}H^FKvx_w-+ze|oldJZikD zb}Op| zAxpvZfmC^P=As#HdAK)3e(h1Hcyb`pV?d?_A_+Xo5kCXc1}3o1%};IcGW+0jz&0Kp z<*eW1WfWe<$XIL4x(J@8j@s`i%H|T8BU($QSeTD#@UwBR8?amDIcyu}_yg%`)7nRA z#Gr+Yx6(oA>e6`w>VYvRY^P=^8)=!jtg~|IY@)-?-a^cd@aEdsr!vnmje5VW`X^C1 zS-Gt<;ECO*v|4j3y2UFthNnN?Q`#9lbPee~D5~y^(RvlyYVxbCN~0%P_$PLA}ZqauR4Dp6g!ah3ACmaex{H zk82AMITN;`%+n|(_w)>b6jJ`|=o%=!o05* z_*0Z&TUo8ZXML%81xo83+`w_u3mo1J1A%sn8;($B}DPf%e#jy{&?5C zZ9v@wR?4;KL|_7_{5S5U4ZzK?1y0S>SCWl5)>1L*XjGeH2DR{**Li?r`X3vEWRXH6 zb4KA7J^|F1ohau9-Nt8{XWVkidAXA@(Tp*P{n!h3a?@XMkZ792T)KP~KcmpaN1$LI+%Wy!-Q1lRCXS%EY$yUf0kD9_uR99?Zow6ly(wa#P4O6EplIQ z^f+hr)v{XAQMp9ASYEN2Mwc#40j`bms5Y|?bjx@LdpeLdK3=pi%aitspBs~1YJM>-*zBZ8CYRqiKtxj zmrZr%#zjqfeIJo><0qI8y_)s~%0GL}SCj+HY1y|&_4T~7yFXrYmK`1(+zkhrTGVVC zb>DL&3?bM<<`Ct6szc**2#5;$p{XbxlsFnt1C;ymW5^&b`1+cfna$sn+Jr9!W>4fH z+;kbnnA|Uiv+L+O>mj38cMhC;<+cd33QRAao+#~vLUihEwwaX`hCXmSLvP;1vK_qm z`zL(Mutf+AouZtD(XR|&5P)0^+60)6b6nADtQnvzK>C`%#V_dovNh}f12fECZSY%L_AZPfZPM>&<6)22p)<^n-sq`Eif*IZwZgo! z-V1mera)d}eiaE21aSV`Gu0~-Js+F%%I!QnEBO^<=j3n~ipkGMj~*T33&3jf4wh=< zUkxFm6^u15A)?j|%1t$d1wx19l(G{JbgW~P5>Es%Ru1c?M<&>a#^M9Sv>bRDb6i)& zdI)OfSY5+HvxVbNSZA$8e@roYX!Pk(ohRX8mf;3t2Ic=dPX&Y9QblK7RG+px<wuqLwroXEQ76<}W0_fA)kEnPd4d1`6D~#XAQ~_|1^#hvAyr8kCeOpVd ztgXf4PQ<<{l*|A= zgGU884WKa4NXsGMxxS&;7v~LAiVM&IxN}zaP19gLz~K5n1RM4rNO{qH+x`BjmPnG6 zePcbot;R;aUmwrlY{j@%U0qGbIp%#)8MS6;&Vo}D2hfJF1;kxt;C99JK-B5BGD$0= zv~r38D@q+@#Omt9>CoF zm(k{OoX#X<-6!su{$8HE)&v%U_+u(<`G_zi?kGoY;9Pq>baG$(gFTZvOeNnkZ`7vs zFb4^`YuB#1qk@T4$#f%a^rjm(gsI~rp<0p|c_k~~;I1QxF}iI0{?p0v)4P%JAHlW? z_3z%iVvb3UIGzW$#9$;PTAn zVQ2UTRs^AX!v^SHizY;pi-9Wd7ro0EBgLfe9$ZKdLhX3?mvIGYs zs3S0IY3K-{;bj;2fZ%i)sY|1ms2}gU^H7jVCznuwkpu{}(OI}yy>DD}cc1Zk)P5-B z2{IYsc`TC*`uQ0N9M&c#Z8Pjg^z^WRKmNb?Hd?dRv zlrEGsG+YEyOjF;m26!8A)>XDZ@HKT8Pr$LU)`=7aB!sT5^oI5{dPK0>2ycF1SsuPx zZ(h_eoqrp3rXd3Y>1qIrC8eA2(sU@EO;Nh54W(K7v)_5cg>GCK*c zQch8cgdOR5)*8;qKj2esP<~H|93zQc!xmqNiqOWCZ&$+CibFNS0}n zu`6AIGX!GW(M?xx3$poKH5Es~oPQ&>2>$$b!t+br^nT~Hr==hGh>#Sj6!<_kGIAZ}oTphsN1rhzeBR)OA(oLoVx*Kzb-Ue3OmL7bry(1>g*2^jpK#I#geNV;l%~k)O=r(jf9I@Q~;;t z?QW4vdPu?bj;bGU;}r2fkgTWCd5~O~lS3}+Cdupttkybpgz04YKh}w#8ku%LxERm% zfpKiPnt>a_)YOzT7l6?<9oHw06*e*p3kztq`}bo9g}y8jwlDmJ9F-K8rLV*Lu*N}v zFn@u%%emssn>XP0G@l?W97C#V(68cmp3*7rwro&De6KQJf#?@dKHPJ8M1}?)1V~LT zDDqmpGUqM_CSzi~50|+CaG*A&?aXV6Eg?Y;z$9-vm=7voI zmZQm>k!0%Q=4`XV+{moF+laAhmrEp0i5^nHXHqsqFIZ|?D0i5Yg%Wiuw%3ov`XSpK zoIa6CKh_-uT1DOhKoA^3HE+95o*R#QPBDss6DO5+U8z|G@v$w7G4I;2Zn?Wlz_y%p zndJ!%8_~BFDn7VwwEC+c|Kz=ve<#;e+;My7Eyi-`|HK|q%`eurO#J?paW&8z3Hwg$ zbUJnD?<^^sKyaz;j>y^|b_z1H3i>fMAioL2*d-2Q$WON%sT^i@H;}B_s_N`_a&mZ}0oj(|%@xc5~+@qLzVM+UrTE1jGXt_dG-@YeONx(-#W;EQZ zA-sA1xX7_QW4qF=uk$#xHDtDy9-@Wg5HTXp#35E{I^0179IBs|x!v8WcKqsxJ3ijB;w2?4AHGj6rqB;x@`iq zoF&xutr2T@6e}d(qL01`dmA>?e+k4ZA8(#*Tsaw|p-DgXS$|s@Z@y@!gUqEYxGJvvWW56X_8DuNOj(T2Gaf-_m!-u; zm(WC_bC@TdNM8QaLsVhT1|wy)+jJPJwz{Oua#@m^nR0z5N`O&VgCm&ow5XW zI3p_c@~O4pNeJ2B1AQqiEM)tXC2C;qu+r)wj}bO4KPWJ8`C&(^sfERb^XE1GvdRKS{f$emoK4v0v(UzYGu?)-RKpbWC*Kh8({f|5!V57nEH@#;msWwA$A|VWoT~? z(-gb~_IFhzWNbGb$e7$+dhqUFqRnL--$S(8nj<`Zm{-x8)B;CfJ8btlA-DbN-U&qJ z!Yd362Kb)v=5oto?kyQ0hn1m-n1n{)RdHt)AMMq|09yO1)}`X+2!Uiy!6FXT1F1RE zRu#^OtVXf$-yaxZhzeh%`auXMyDgGDZ~u4E{x5tpArDRgAN|)OhE{0t;=C}#^tn$1 zgC8D_F(WEbDu?mkCN#8D$^kk=9^qJLx_TMe1l-K6O|TBb|Doq1$`SrrqR$#Q2A8$E zyI3r3BX1`mtbs-sr%+Q;9r7%i5u$O3y{;vW;&dkm4u`f4>*k?IQu@9_$SQ#IUM)J| zxTEI1xwB|DA!rTf{=Z;$tQvNu7NQ*OHU%Oa`^zn#fAm>gT*UKH-y3xWtJnT^XW96x zqhh#QD#Fw@Sa~k+C!c~$0816GZ`fJ-vQnv2Q-R-b-!{Dm0zcL!d9w?*J!M$^sSJe8 zJHMN=A2mPx5B5h%bxz@zFK#Wb%Vk!Ouv~VYd@JG;w6!$tPcgZ-5aI?o+y!u#2~yw? zMshmE>Z?A8sYG4WZd}cue)sr7DRvF2`QqZ@uW-=(L6t7G{%0hj&g(0@lRNPrvt0pP zTHeToCt^l0L|*aDVATAbFj)utom;h`$+LAqDEMKFNPvK}EOqnO4c&`k_S*ra|94KY zt#xJJ3puFlvQqQ?5ru20%qJZy{?d!>N;{5u==@i{Sb=w(bKJI8jskk4ge0+pFTNfQ_c!yV!}a?8Dx5|5b;SY$@mejss46NvEcsd)A#C?+}HPGvGC}Y4qiD=2=DOCt@uOp58SVP|4{Mn zW(^`$9ttg{{8bFiWO}iE%p3F~+MTw!ocIjRWHaurePa$X&yJVP$G&joRq(Vubclic z89qHCWc1TJ>?eVOiM9Wh7HkN0xTq?B-k)Nuw!VnUX*qa~A3hYMpfX^jzrPajm|akh zmf#C4>9H0&C;}?0W{H1_kfDWRqr1BsBCXJ0!>8~o!B}+e+yV-cYvA|C9vp%t47qCE zKNvB^@Xj%F^M7FEwnpw4vNL#Ds2FdgVc9|#)F8<&R;YFcVY}g1aVs1y-7PTNY!`6(7;5k~ zgoE&qO?~bmf6aVGuPPhG~Yg+5MO#7qob2Acd)fwAm1z^d>2*io1^5#BnefnKDU_`IkUj@egdqV3ADnO(4yR~_$ zVb$YzxhNMo6fv5)ga$k|{eFNNV;TPp`mmA<3P{8gUOPG%dY_TnA z|Ni~&VPHY@Llsb0TybO2XZ-#>*c6gy!EJn~qlYRPdqt2kA9lO`6U%&=y$l@#_%cxZ zPP24|Y=ox0F+s{-+ N>DtjMnr|#t@|q@)%2n#0j<%!^s*K2KyN{X#tA2ft-TRNc z7=Md)k8tk&B1RDlib0XjwbW!Z)sC=#!kM|g3AJFHte4rLht}g@~Iaqa7h`6fWsS{Sez!hc6IJN@n_)mA@<9_M}EzPS_ zV?|L>3U`TbJ!1Rc%)l@A@P%YmS1)3XCKQ97JLicx zB+Lzjt~Vc$2vE3cBFe$sRwgMi2SSO5n+3i-Seq;Ky!ZYP`;C{yG6nW=wcjtU(FdP~ z83V__Ti7trhI(7uYMX#y;xqie;{U_kERu8>T3T@?g|SyNi{wta5>IR#5iK%0Twfq+ z$Pon~Z7Av$`s-4KSjtB4ZVuZl_JUIFY(s|!bUe0mUw2u|34>`Ha7VnPvy05gCr;HToFupKY^vafwUAK3M0JbTMsP(4=aM8F zHbJriHjNxFJe2Deo%qW#;F{E!1#bjw3M}T?$vJ~>e84)qsk;AmLltF@Vx^D zO+D&|O342w>3RaGFRfygU8z0DY22y?=?B{@Ja7k`JxgR}(S7e04+hK`#TM@Oj{5$F zxGB+@1lCFJN3980|Go}qnbvGwH17;*zk{I&QZTeWI^N3Zzcqh+!`DxT7%bnT9XFuL zO@s78u3P3PKy97eR@ZSV+jzI?gKVS`WV??@gA|$T7~p8AsPK7qT7Y>vJbntY5VvZw zh78}eh~u{iCa%pknNGe8T@08DiOdrwBP&t>!y{vqA+0~bDl4Pg45#^``Erz(BJ&n; zPdg@4)4f8&U%E1jX;92HIy#EWG)Bw+5t_&zzJ85hzajK7I=0fPvKkq3yyIxFoS2Cg zj-JpvnEvTM*_A)*4l=h?c0xPsz8dyCAX(4M_jU;>H^WpMZFZOs`=_BQj5wDe8Vd=2 zRz8dadp!*f-Qa9B14z=2FPT7ckVF->T94D^b{{k@6>H0YMzGeO!>ZL{-{~w1(}6mv z`_^8ef&yjQzDj(;vD@|g(d1l~(Fvu(;2=ZL9xXv5ZS6>%T=q|W>X6&V`9h!LueRsb zRJO91M43oOmpZc3aP*%}`#v+XMKLuuKc7CQ4SQd{sZ-`=zCYj=HuGwDT;~BtdWGQT81*3T~? zB=QQFZ#MhV1X>}atZs4(BQ?%Z8SdKDw`FZxnUFFM_SCzpRI!w9u}dn!hBau&yQ0LRyS%W~aF#ycHxDi^}0Udo0+w&l+nO{(5>#y8cq!Wi(k zLqGNlBg}p&keWky>a0nXEfdr3^gTqGuh(HKRNuw@(@2#37YDfVF3sF9K_T3W6EMLj z8eAHI&4JwoYuMZi2%B*67Y+Di@)CVb1c2~*aBvnJJDflx(hb;$S{xE`3c+d3pZ`S? zpm0Y)>{TXoEl2d$G^3x|5s@T_fodD=t*l}$?A{oGKlkY*VWsWqA5mbE?7}0EmVf@> zaXUQ#p2&Fn=+cLBud>$JZ{O0D11b`t^F`eNZ6Jj65NW@Hf+lmZ!yz2y;ilqeJUpDO ze&N7D?FV?%*5ChCa9g^M{g#I?67@j_TPi9)xD(f^4^F7Fk#ziG+ zy;5Bk&7L)@`2Hl)CV%ib8T89N86vIyYQ319lN0X#^_X+Apc7~fprm+YwFKu0Y5H(Q z+FB`9;#A@#1*3lO6HSUTS*d6xGcn%~P(t<^QJzz`?>V zhX??q({`^++J_OZ2Y-Dhg z6FuzspS)9eAH3yXiMpoP3WTNsAf8oMzg9w$K^VsC7kZSiLjnr43;nZ5eD0)dP=_~~ za?T+kd?grkiyj%EjaxP2bYy!)F^GaxK5Fj`~lOmf7RB$go0z8tOjM~^q zD)FBn(ad%~+Vo)~lKam=SY@l2!_&Bhv$O)Y!^FIQqa@ck)x85Q9dmSRjnDpSo`oBTVL>ucy$=yGi9|A8fz8tay)=LVi_dBI*>sRR}oD z=YwYzxS^`89L{pOe9o%5oo_1*W()KvJ+Fn6MpqJ*Ymy)2*kYN!3Pj!11#ZlB#d{Ts z&#_B-d)j0$(6UspLth3{!`oVKp^%Gqxpm%3thX3{gaOz%d3kS6aaK-R&WU(Oulysd zVXwBOAA4%Q>q1$r4*(fRI+mGFDlCRylX-1KRWT&Yp$eywBe#Vb0u;*9Xwq-8MICx| zV?3ct)?JhX*UEw57Ks<5qkEc-NVf*i+o=S{pM~Tgq3hbaS8$57hfB8geM#gYrDZ; z!gfqO&)Ce|oY6KOl5Z@q55E$QlV!7ATE{UKr{%BAaP)-G%<39qSL24hSSL6K8* z!56qJtyT&`fA3x!npq_5j;M2VS29t|+|ioM-NCU#;3tkoqUX7EvF*<~(E2}UffuvP zWboW`L_GP&>Yu(YsP&RMgkO=kqmZ>hlMM47)P`T_kKM6^zFpf$P9N5a2j!FJI6gSl z#u(Q{_c!eJ+6DvHN1}?wK$gbn=_DL^0206J988e zG692Tq;K0i{EE;R$*xE5z5`wM2X+yz-2-(n)FI&iF-6~Su}X1K19OU@nyAr^TXI46 z{vUAm{?HR*+nHSqgh&sv{=ZMQ7%=zuIzk$Pfjj`Z1^|~qh(>_U2YHM@REUtLF(yeS z#9aid!f6|$McY%|Nu%G-8m;-j9KpFxrsi2y8aI;fL`X*=bahCh4p}3g@nF(#(WbDy z>MHxjTqp@1Wpi@J!|HHcalVPVXiNDs{T8_{gysfh%JEvS7S9?3I79#{t^KFaXe1em ziNixSHS0IRVj!QCXKAb65akHXrtMqdv`9lO^%?pL5j@Ytht!!rq(HgOo7Yi8jJi6@ zH!u!oytYE>6DBk^C+Ri%>Uu*-lb_(b{G09F6?^>I94?4h*w*1T30*9*N8a*C4EPId zRSu;{~X)puWZEC{(OSABi7Rp@3H!-YG{pLP=zYsilz zfhJ$VnFWSb`OcfaLXeZtK!-|`Y=U1v{x;p7BADfYcd6EKXd_}{TyqkEwfL$W4>Lcy z+Ps@;YRspOf64#SaFN4UpjG4j4P^zJ-~76$nmHG*1gDArWIQ;Uf2nk^QZ*{9GZR`y z+qxfk1aMgi{6yLUa@L&Htz|785A^q86*n9@ zJE^Qb;w!U(&h*S-+Y`HFjGua@uyJ1c$mM^ulV!!_gUL_W8Y7H`2r=nD739-vJ2z?5 zX7)z!Xrn(=32h`IroI<^mOIC3Yn8B zgd{{s5<-STWlCktJd;plEK`yxL?TI|;*rpx@3`&n^~e70cklN5Xs!FcuJb&`e`|lS z1!@rM!zAkH77@O-sv;f~dtTrfr2aw4tW5M9b#{WC(&P#`##YjAbxX%lqxAj|uY0vx z(uOUOq~gC^FQw$RGMA*g9>!vTl~eb$hLGW1}4ovLd4bA{JUeo|h}Du@hyJW+$Q+sIw`WISb~KuFx{vJJJ9;r>tMiYU3bAqHSMeu}R9h7zf-UPcdz&7SWbNL(kYLT6zRKJ&r>-;@)4rc|FcV2I?*8#Phso0X52Qr5oWXtPW|OpiZE{ zD#veIqahI=+!EX+3ru##UGU=;{EabB(cae;Ym{X=U|HQG1uOIr`B+Y$+L0)1Sm#=h{w+?$~YIpE|gmlZgx zjq9#dSOz?i>?eFTXcOP!8ETNL`uIM3*XGjwz zt)F?Ses=GD=6G^S3Y1KXG? zKL5K|WjpD0!zfQmI{uan0~H%DAMsMyb?%s3p5FQa%Fjl+8? zwRH*(n)e;(Ne;@Az6zge+j^nakxWA<@JiG7OlW%}JZuZ!RU$7Y_%La5naWRuqLtZG zi)5UYI~pw<6hS0b!9kT^1o#Y6w%$)Vh~+;8-=aYJPMX8O$jb2BA}dKhB1c>s76ptp zRjK&Ou&Z#_tV_B6gw{B2G!2{&!)G=1Je&!Pl|b%C(GOX#OGmz9&?TkgP&6?!o1PLw zdC#X;4^G(FbeGQ|4*(S<)=e*P=_9qo;qC9gYYz@yM9`G^cvK6n6Px-q43%I&V%_SI zn)LMDGmi;Mxf8FR$MHrw4_0n5Sk1p)fc|Lyb=&fc74P1=Qg_-R?q!+hq*W?t-#;i= zV6_QWRYS?q9cu2d(fwgua~ghnLf|PKJJ+8Q%}l{}A+&aZW9%TFe%6%E9wOR3)>H*R zpv}|GEv{mt8}CI*es(~36}_4-amES4__O)CiG+y&dHnK)U91uC9r*rQ95etentbox zP0dq)gYIT=krbb$tjjy$TZm(U%|jiZ^caZ6w9LS?y$@Tt2uW=tttLEum2Yd^=ESHz z7VTi)F3`JkFb#KtXu5tpV<#)iEJ&(WZ%c+|m=wd4+`^pIjp8N^v3> z1g|(Gpi95}A81ZMnXq{86bl9~JgW$VBMHJ+R7QO{mTtq|ubzW#$d)3`oilHw1nG7} zX5cok1aS?|)!Vln#BK@@nFV5MFQmmqFGv>{UNe_U(9Y6oFrJ?XEGZ6V2;>n%>?A=q zFJx5g<-HwjgydbixMp8gn)BiXRuO_zoH7<4XuLY9_LbSngl|73OyrJ2`s^zA%^m0J zL&LxZh4pP1vvB|Su#GiRDyfLMnz)%UPQ{d1pd|vgmf{1Af`RDZEw>HYn06MVtv!+X zU>tb~+%B9La0ViV;%zs?tP^U;f&$gPqDVVoN$rRk{=@99X$Tv*T|#g5*>+>|ZwPe} zDkjs4Aqro&8R?};{6iVCDz< z<%Rj~%njUx+0q)r@vDcA9L?IF(ELIFI)PKq_RK=0qGGTV=TmrcFaKG3vDm>~)R-#+zasoojc zYRcp{&Uwyj%=uQrV%6t_^sm7h{K0D9 z@UP3gYEhxQ@d?wW-U^xx2Pw`Ca=I-XG$ny-JAbYOt6kQL*$toTrHy#Dvy5)>XxLG3 zs(4cU3`QxXM0^u1Vnds~ly_f)hzi$*SjjjQZrw$>m$>0yz0x0gaJFLjzcUT!yTXki zTlle)qlju}2;b#2=(FsS@F(D?nVrQ&nZh-wcuUJ0d5u_6@#(I}PCe&g5_FK=I#_6N zex^4I;um-T5*&HAZpF(AF;?pCS$Rq^5V684_$PzJ|2NTSX8}5z_^jLaTH(^IiZ9r&!FsT0TFz3Do=EN)V}@b>3AdSQ0>)s$X%F;+FwSwrmPQfY}awih0h z%|T=Ah3o_a`id2`l!qCgu`|&hJa}*ddxryV+SgDVe=HZVQm}B~=(o8Bj4^npZNVzHGwj(_ZnZHW_Cp_i&Aw{SWB&TRDJgF5_kMi* z_;4*&_H3M@%N=?B-usHh+s@s*xU;-y;I_DSoO&etrdWY8^6$Oo(|K5HG;}JmZ*GM zV3>%KL;0t(i`1jQE;{R=rjZ^EW@%ZyYngOW((`#JN<*1@z03oZn183<4mJ zRib^r$?)ZT2VN6%N5~%@{);R1mgtng;eZPo$;4vAp{bjgbf(|!Gj~c zy+UKrB%Q|Z%gvjZSzJ$?_f6T@%@7b2fw;Bno9d$SiEp@&d+vPbW@w+q<{HST4tisV zwsGc1B?E%60*OCR6+nVzX*LbDo)?{leE~yU^Lh&Atv!|H2I4nv-fVm_>{^M9z0*e| zu$M`)+B%yy&nD^A`*-hlO?HN5!lHAeU%hu!GqLX#}cY*;P0NlS4YTTEFV|GKc?S@Wfbu}FeH z=19UG?If&7?ljtkdfcW5g0{iLz+#8mrPT;EzoB`q9ady&Ro4(|DyzsJQmuD|!-V z^|~DcjS%FLLj?gtk6hT?n3$Q5mL5!STsM<{QrxVw^*?AK8h07`7$Wk=Vll$Ri~1i) zlsMcH9PQ?3l9f&{w@GlA%RWO1C9nlPG5X2p<->Eev|K-+V1!^*01G8IA79Ieh?OOY ziIAEBxpC-Ks`kplWpkcUG1$l-rqLgPt^AcVZQy1AjZ z24qMrbYS()tH_xiPf^)deFlEhEFH;zo3eEuT* zfx*rYO6WI+sNz{FH+o(9@lxqS6iH6?BwkYmKf*-Qeg`vlAzPu zzkgG3P`ksIZ{HIBzR__BgR0?CiBQPLUZzjLUN_J7;GF{mamj|_TIq)e7eMPZjRvSc zYOekZ;9+T>Tp+kl^EqO1M3W&Tpbr&F1kj$jh@1^*S8)eAIXNjt-%CnLdhh@uiIJ*v ziEF;Dn_Or)ZkQG@hf-wxbYRGRBL8dWo%Xm+$Khk|bO-^WMvhY)hvMW;bqjFM*s=8f zm{jg6uwseKKzHe|+u{?eODWxWl+WM>2#QIoHcs@>H6+V9MvS{@t*|?A7+8#FdUz+v zWYXPRDtjaJz4w*?qfVkpY{UKQ2NyJ+BZO=Na=;W66r#!)>#SMo**BGO-D3!5Kn@g8 zPS*VnbSKh8V(EJ-FA^t_QgB4LBrVaG+uT=Y`%UOcbR15U&*Jmg8rXJbJ;vWaZAOM^ z(nIm%+snvgFJO4A(ngrcuzvAboGUYr16MP}V;U=vXpTSIEYnd|BoKmPc(@MVBYhq= z`_0!0j0l)QyKf(o7>T$>eD<*Xoae(i;~1K~?# z3*(0o)|_V=6Ja8q!X{brr8dan|{vm zw%hjvSUYcHpF&r>{KHLU=iJbRw#aSQ@yGwdo^36%ivZUq=P(>nu;pq!Q^Z8G~~x$m1m1j7LZL z-0cj4O^`9JorQBDWaE(AW6Ut3_bc~D+Z@HFQUi;1tGIbS`Fm~3Ka5XP3_>5YcOfrc^+;o1T`^Z2bosMOL-81R z#{=#dRAGTrH4j15DVI-@e+IdLfg;Wyb4*V!NUp`bs;aVbry3+d&~xU}Rz7+p{xLRI zD4rwz>~j~tBQh&>AA zMJXS=CJprM&x@>00iifm?7ypv2Hs760_F*!@$o}~KTF|4zZCRM6>5sH`_hW<1oP;9 z?5VvXeE5Zm`&ox>(}eY)zT55z*Lo&MQhdh!U#x1Ih|kQI7ZJa#5!h^UrH-=?3=Mtu zP>g#`gXlZRHTfXd;OstMX9ZlS|1Ajf8<``VsE2hEpLl=0@o_wI@)6^uWN9p~M&O45as(NhN+CClij$nIxIBgGRZ zM(RB-oru36rOmx6O2M02Ge~e#e7yI8n+cyRsKcv`vgVb#J+1zHH725xd*N>TryVI7cEg3mBwqvyr@4BAE@eo=xip)3xM75 zDNAI|AGZEDK-Vn8aKkcaub=$AlUJ;2;_y#>7Wp>Z66FJEM0DwEFderLM7+AeAsME= z{{E1^(d53{WU6=i)t0n1Bwv*D%oNhx&^*O)^4gb>fi^%AXg@e`06Cv1#6~PIs+XiV zCoie6MuhkOQSbA{|6OB+(2(L{ljFO#Y`$*yb%$%4HoU&)6XO<^oZC}40>dRukS;^B zO8Z9~KwN6K&9NhDq?si@KE-qL_l_Dc*jW(ImnzW(&qjbB9Nu22Gxe&8lUZXF1fm6x z1TJezct$Sn)+yS%0wEZ*WNpxcT60?_f3w>Oo^9LCy0{o>Z47~15gA#~Guf5XhD$1L zIxa09iS84hr|(cHS5bjV2FzBe-Bs}BtgQuzDh7}ku4jn9ei+YLN#i2Q*J@(OSMa(* z==-h0O|Z(LEkIRf*oIs3XCWC`xw)r3bcyupBWO3l%;N0ffAasd0AhD+U9mRf6He-< zxpq(W3_k90$3_m(y{fv_rU;NwTfPES(b=;n?=?SBL5LQ99gs9*yYl;H?%%zO*qSnP z-DKPIO-dgAb+m$#S`vcudBT{PsTpZ{ptwR_x3q+KY0~$})xc55K3Ohs?Md#>Wp+iONFbp>*Y%v z|3IA3SPC^8RL1A0^`};;{vkX24-vxSM16610=c4i2n`ZS4PPAm>Ksoh{UV8t|kB@UdS=1E< z)4p4--fm+&-=A$OQyuWv@7B)`UNuCywct;6i(7O`k$T464C0amvQ@d~Ri0(z&ggK- zy+%@;o*Ssw%=gxHFW@O+Y zWe?6GbGDZ-Qjkd@ycEMYLTTo$n3rWGeRwCs;6sMc;8KB5$^QhZP*{_D)b0%9T|qJW zGlZWqZIbzDR^j;8EC<1#ybA8@=Z=KTQg@&ro$Xxy5%koaxFLJ;%FxTI5ATsp(o1!| zZoWn5e)Ms>M_irdPSlXASXGcRC=%%*e(K!ES*CU&MG{>(tnN&}@R5Z_hj!x8fq^X9 z86kECwRzO-ne+#i=LZt7$SY)IBslK2uB}EgWlhZIf0&1$GNuv zBv~sh>yUo~MLG&p^73{@Pu5zOfRo|o9xAoF#%gqn#GoEzD9O|uXh-vnIiD^vLv^l% z*^%zDDgNH9_YXtI9k0D>&lMO}X=&^n*E@THTkC@JL`6|p+0A$csHcG$hwCn1e&rR* z7RJirjc>GZg&VSCu~3Y@w!&6s_MKfrPF^0Ps)wS~m~$7h$6ue*3a^tw4hXT5qM!Ri zT?XDfhs*}wlp_TOrsOSV>d3YuRsO>TYnIWm1;HcK^rz7BVSiLmE2f;Gk~VkdfK|)dlwshQ(T5!s1`1>+;*CU{6u$sjg^mF1-%*n}t!AU!d*c^U)aBei!iA3B4 zB+RJVu7Cd?1tjl&Xa{EGLQL_+`w6V+=lL!o;s(xhtTdsZasB?n(t$!JJa5CGCCM-> zf50UGb&-OMOd8(^kDA~((RCRYn@c@TzC6X(Ym|G`k?skt!^XIHlz(?QNmlt0hnPSi z$56kJ+nwNt@4XK&_ch;c7isnU{L7M&(q=0&ZXu~iZT{c;Yzd3Q7Ibj3@wIX=gz{SJ zy`eQQg-0EM>v>|uMtQK-V2?PlLum5o%a<>8YpgVdVrVd3dW7A2@$zO7OM&+U+0*g) zyi#hr!~8?-p`?pNcQ=N708ef3!|vXFGO3&Z{_7eRm7FDH^$z=hO}XA|S82&1Y6F}Ine^YoNMS$D_B@TR{ zZoh&e>;xW39w+jbFSEOz|sYD)Zxnil)7uGOv= zV10O31)u1`!UDoYNwjcRXI6TSqRf^K`2efx0I<9QofD!z!)$xAbbti{<;)H@94#>=iQ z{%k~f~#v+Qc8*nDlLH*BSEXPTsrX# zJPJ_T9Nf93n0`JFUO;5B3`1jrV&;2Y*^d^zL|E@WctAIC-7X2JonyiXm>gNDS??#v z(x_pXexiE*CdG|2il8r&lN)~jkM;PdlCcWs+TY*HsRw)*IF(`Ie+zgze(_iiG5tIR z9EjC^PL8kj0T?pKY;d$8>(21)<=T{>xVD)Y7w#VEg|T>^%DoB-Sf1j~Yv}}K&rs5_ zaW1ab-tI2e0TPUH6}KeW5hD$>2-g}7?A*3tI;0JjS{JtoFtKbbqAT2ml0bRi6t0B! zw5?IJr&>IMm^ybscke#MxyNDs%L^+wihv;NAbaLUpLtuEq4)21_gepNHGuf2=dBh&&9nctZZRkzwg;}rLCBJ55S;HwlZ zhb$?_ieV%>_P*+QZr}5Ld6E)8?1tcP<4*>e-UpQB;a=DLzoz{>_JPv|$SQw_ zt@gv$a2b}A>GXO0JzIDe%p~H+qs_}bx6OY;+S?hQ$9cy*0Z{p?>^3%ld=Tf^=0S!7 zk){Qqy6ls3Uo0GV7$2;xcd%$9)H>jG;WCZ!|0oQn#;YkWY|K}t;?0oIiZ}`npgE>% zc$HU5poqnk2@%ez?Z3^B9qXQ(n}g-Y7i4_upN~7>BvS}+io1LFE*v$VylS9NU#^{2 z#%NJyK1WmlLXb^F)BGfUF08x)qJhX>1*L8PFN97M`lwa^0B7gVcTcCF+4<1#;qGTY zD@z8NS1HwMnz89B*!Z!;CONNW17R-a$?Wm#c!JR>+_Fsx$$|@^g zK}18yYnwmMZRSR*Soqz}p4}C%4fzVxqB%${K4B4g$m=8NOmT7>osAQwWnkXt*ifPPmD&G^w?%o7L! z=O;i09${dEagq2|xoyo}w6xGlB?3?o@klHQ!vZZ4A6Ej939)5B7ReMOhyYeJEifUz zWq>@FFT+*QQjBa|WUdf#Bpr8|=$$Ly0qr%79$V^w=8fCP+`Z{X44-B zW#Id|W1Vo^sUM~1lZv6?$~x5b*KC^tOfqF1=@e#n8UODa&fgN5VUBIwbm%$~iuc{U zVL+sG%A7V&dP|cT6l;5%+jz>ubx+%_0k0)?p?tJXWQcdT$%9LEQ39mAj`=+3oB|~5 zdy-2!Q4&&J`!a{UHIL~$DRfv3Z3|O#m)8`ZSpzNGdzV)5beB!BoN%!!4a1PZxH=*z z%7>-$#WNcAUma85o#1%pDAx`$r_sfZj{rwLclsE+L zb?NKrO?2Mqn{jh@H~o}OgA}deY^hE}AhummRGVP z;3mFfFvQU!deWA=tZ7#ux4&i)0FNxa4cA5tA2qxns-1!ibX4DV)D~E$8zh}Ri*L=t z%Uba$)5$vs5^7p>7|(39ZHQ)e6nb1p14h(C5mV;*n)|+N_hsboeT9n%iy${sWKLoA zyKlE{ZNWDQTc3=KK(94vu|Z656U8*vm?-fHtwesl#o~_Z%W?rZk~UV2IW|&RB6p5{ zPRkd_5P(m@!dcVMYk!m~IpWE2Q&iVNUS8$?ASc;UDgk>4UMsX`GjwQ6C*He%Kjd`M zau#?b7ujU{GQ|T27`kO-Wkbj?z%kw#1*RDiI-@Q`E$qzIRf04Z%!2Gb?k*+(dF)bz z@3*8&sP#R1=U!!5)S*<7*f~Y`O+x2;pimC?JZW=y?_H*7GYkB)|Jx{O=cwVL@lONl zTzpw$pPHMSA?UyTJG>aL(~an8>l&}nNkv30GlW8!oY%1B0{t~RygvZ6a4-6*49(9I zN(;FD>FMd&5i21%{-M+J{*Tj2j+#Z_eKUKK^m7U{EE-Q6f8Jf}I?q7;##UQ3rw?fb z6IY~&tC6Ct+V=>NB)=Zp-R3s6uob@7^`BA&k2@sWIY`x2XxF9X_Pmy1;T63T53z+@@KNk=T>X z*oBJcl~@eTDbxq!wYw^qq#0T|oAWr1b2xI+sL{k(^PW86o3i}-FDYH4br9R}jhL8b z1*@35cX`ZTZfZ8BD%}rf+aIRm$B&cJakKFjPXLbOv5%6c2~0T5I>&Xpdm0ig;Ba1t zlyV1WVaIrGf9uMOzcLJAFJIoUETXr_!tz*GcXEQF;q$zJs@f=9*XJxhy9P586L!tu zNyU=Ef_b|$2r{a#e?Q^ze=r4Mn1BG5oHV8KWEH0x)~lb(%P}`^sy$Pte8v-sN#@(< z&)nSH-5yw8Et9!>PHc;Sb`)uGGjc|d_xCA0G)&$QPLXArn&xd zRE;0CuXc?gf4Gz~S&g9j=?FECPNj=crRw45PBUo^vEkiOSM64%amU~>u`bDRu`HXCqfxuSZbriv4=lS`lCy}h`5Gm0fiiE#_0=1lcF0VCC?%(~ zG*B=HJ-yoz{0r0>(gX;+-><&9SbU;t^S?A?ZUjht1kq0G=s31g{tF-SwsXy?H1s*3 zD0Rh}%cbIeuLsNF(y2DcQvGlB54vGgQm?yi*6V}*q*u|}Y(w`VIx2(ChMN5e4J1X9 zjckjq8ghpXqgohz{uT;|FxdUI1NI0LoD7lPiutv@{b=;$i`Lc+K@DJa;&&RqmL*^U zAc+wX5jZW9&M535etP=*iQxj~J<+(gXHt+Qa;?-8NyanEhqa>!RC9paK4xl94U0qN zc)_)dIF8SmFCF$?T}`~Y^A9Ut6YWztmd~9VF4uS=EZEP&u7T`=2l_i|gJ^2#TB#h0 zsi!a4F%uchVWnHq+=6m>m~FpEE3UW}#TuEa1zWkhQ0B0^54d(A!N%60mV6ljG2RC- zJLA#(!F)ij8ztUUyzu{v2Y5I+(Yr2WMALwFGx9TMRWU1LKGarmdWpfI(8v40NmM+KUO(Om zA^~y@U0q#7S3zr`eEFxizeQ$`v%LE#Rvg?u6aCA`NK}iB*gJVvcB|g8W5-UP&H=8& z!xL1{-rsMm$me7MK>&WtCW1{X7m>UUor>FzMBne&vemT9d!%4O#s_uQ*L0k(02PE! zZs11S?SCIY4;`hSJ($wqh1Ut`gKZ?Li=9pLfnet!aGHAt$#BoPH}3N=H9a4EB*iV=UNdVt7M{9M^66?3O^N4|D3g zA5>h0xw|_u%;-cu+m)2^=hqrrcI>lFdw})pJ&bn3+gICw%fN>r&h7^Qf*>kE#3Max z3|xHF+8l0Uwqr`vZ#sdsn!d4h<&XWq7J0M5cHrPa#4(`}R1>#KCJ+&??L9ZkM!r^o_lH2w z_SF)gNT~0S1rC&9@B4eMl~1stWM&F;GvSJIyl{b2$Q-;CqW<2$dGqG|dwhrwUtTM@ z0E_K?O^M|_;k5kQ^6t-^Alt`~jlyp_?L@zW6lc0~mM*i;OhbX8Aw;3hwzgCXrose% zN!#>a(81kdb|J&NNah z*J6XuHs;hp^{S|x@n_hvJ2Hdce_oBx{yiEW5&mkLWwZ^%-qnB0S3yn5lpG=IBN3{I z{hXLaf5QDx{_0>87GXeVxjW~V&GL+q$?H@xaW&T-;1NFEb_dqYCPk)*C%E2hxQpvC z$mh~n?2k}d#99Yzf>Z^7h7yrF=IrhLC@=5m-R8h1TmmSK1^9LSa z%rSA3V9_vKM})KcX0UQ4xrC9QAdeDaCG6`M@jicUklxs2NnN=DoUeOYR9~fqp~_21 z2!-mDx%g9=HG<}P_`TFEEKVTroXA;>dLGQExt=H-B1ijDe9<(Aa!p76UMN{@$eLS6 zpkHEsQMGol)*%=VMohqu%$0kh(WUbDy4JPeI(_tl=!`r!M1Mgaum@&koriT~8L|sJ zeHy!J|2I1r9g*F7QhVmySqt&v!1+xdq+hAS9;OpPSq~+S)%`&e&K#;58=CJw2(N0% z+(rcNm=<(Rc}1n5C5{L~$hR$flXhgylDk~EHbo)O|@?uaaP8SWd;?eSq)Z<4=P1PelB zq=8J$W5idxPhYW|8ChmBiYIxoxUgxGPL(}Cf1t(R?}IlRAvNb=*TRmLhAW%Gx|?6a1?IBxLpmL(=> znV^loEwRP8Oq7K>+89zQQL13#~-G;q)GOu=OX5|T5R?#>55w8Spwll z@bHoB3{RPQ`d>j=gscYtAJga0m0gl{6#s!8?kYT{?zw5Gxp^n&A;4h4#!8CJkSO>m zDZj~x9lw^?jvbJqa0YPjw?y9|hFo@y1*Jp#_Cd1|Vk5!MU=a3#aqso!J^T09d@j}c zV+)CAM+Xs(g^wvBBbTW7zPA03tx3O;Xc{U_CKU??-oAdF=6{EQk_!h1B^^7uHa`X1 zYvtp|+Mnc4vO$XT@uNtH0tQ6w;n!uRS_ywd==F2XBX$_KYD+wBAmgYu?Y z1B)drXJTTay}ca?D-mCWY?OV~hd_h@7PmFVE$HCTGP{I$J*)^2Ktv>t%SAxOevlf_ z)1f^QyIe!FU0!dC-sxIgZoob;Fc7-z1FQDT%uHza1{Yc)TbXl65r{D=rqug>U~VY|5gNZ1Acv&@5*8EB z{Sc@@#sPnW9k=)xWTr8#rz(c?KdkJ55f*B?S8 zV&-c!w4v|5SVH2yMbR73g?jq>*3bNT{%l9Y=###g(Q?NqS;HVnhyk&+;|H?g#Z@se zvC>d@Zs8RIIn?f6g~EEhc4@xQ!-nkQp{xGZziwG6y5bYou6fVUaF;QbrsLmgTgzIf zkivZESz0H^Gqpp{9MG_7&obHHQt=3x1t7G-E%9M(aoJ5PB10dMUx*<4`LkN+C@kKE ze%1IYZQRb!R=ds-me5isSO|1KB;Tb4PsZ_3q) zP%bisc&Q=^_r~N`H_R&?QXpiMsKAhvZI*Gbdb;&+DMBegHKz3rzI`k4g`#cjvCk*| zZ9TG%F@qr0BfiUNBCZmm6bZlmhU^19Jrft6g0xdqR%UK)wDwOXPC@6F}L;G;S z000O4wAhz{bou44Qd)`=z7AQ=5Cq2lrYgV!ajo^}(b03^nWk}>4tOCxd!f|9WRDf& z`|vk`r-5*T>*aRYCCmuo<28~kK|ZH%+IsQu;q$UT)EPMvFZGF(ex}(KYwo<|f*NZN z_$cxl&iU#;a8d2@w-jgR4_L9o^CBqB|o zdTa(no=6^k4_`lQCuomeoldRyn4r-xRBivq^M6`^?Y~}MpN~Nm!HWU#7s(NT@)y}PuE1{|`kimvw$O>&7{p^w){~K_TPOEzD_#!V9kw!BeX@@h zTxGWcih$b2p!9?^MEZCS$LIi-{<<6}_wX%}+0a7@v(lryB1Y10iU94i_iOnkhLI&#M2w1d>q?&aS9uSg2zl&W&5 zu<)N?iEu?ltC1b1QIyv*f^F&Z>({Y8&cM48)`}xD5bTFk zG123urPFv}y)Rsde8h!*&A~IQl|m9oX3Cz5+9nU9TWrX}62`0h9bPwGxAX8oScB+7 z`e!9q=NmUhR8s_u<$Q=#AEX6zhY{r6G7d{L^I``ox(a0x5pFK|=M}O|zm4t>c}>{= zwxh5Jztf*amH-(!xg~sExCkhYK^eKn{6DZQhDFpNg`v;|AkltyDfSStbaaKJJq7u{Fl$Xg&QX1}oh=@(%7m(iE zac3cpCE(PDM!A7-{hSeW!C`pVAHAVRre{=xxp{e&uWwUT z5^HK0;@7W~yOY&;#yhVln#91NUM9O6;)3Av;L0qCNXwv0?zSKET}uNX%y)>Wc#=|R zM4j}v()mBD8Y}DE>IS7|3ZmpI*n8*%X`jM2$2h3-k&G@O~D*R3{a z0n`&=MQCOyMJ;$qeskG%%Ni{ZFi+oEOL6Ylv4g{2rT8e;s>YruJ&HXTIKhG;r;4MC zC5SI6CEs?W_~aP}izR_U0i^5yLf`|mM+5zt@_n^ixWKOm21C zci&dl)N}+)ZC{(%z6PKiUSK#??zH!#yb@UKne=V(8M$CA&mmg@HrUiFDmLi`^S(;B z2ESkGz8vCyM5d6O9|`~v=VgRC&PxioELT@o^re~@3R|PQgbeC`2_t`RPmkd8mLg8` z%KnBHql)2LxcNb7dGRSIDKSkbdu{J8PZ#f)T!5D|FE0TVZ{DJ-ABC zA6nvjJFc)-Qr+Lh7>Wj*+bi`k#~2wR2yDV*XP%HF#4-OV+3@x?*dFF|bfhcSc7&!0 zm?48ml2INlYm|W>HK)%LQdQ502G>o^=JLYV<1~TX!cnRkcoWL^9WxDLuCsT8%c+Ws~l z?K)cU%cRri_TAf_)F;=SULFgxs?KNAEpWB|e?NDsRmV5PMdLC4$?)C-m8H0elyxpi z1lIxqh2w5r=1`u76Gf3vKc^yJXA|JOp&jUP9v&T)`o2)OY1NC?}jybnl^*`r1nJ zel!tR^AFtz|HMG=m7{&$>kh5~uZF=51%A+2eVBco+$j-{4|tI6WW&tu&Z*KjLj5Pl zFMo=sv(wzKx$+1rA*@gwS$PEnDTML_u7&z#}izP;XWNy7LWlujPN%WzEt8_N$* z7ARz$o4;dip*ASR1u!_VbJqcrqxR+rSe~F;5cxF~hDa>U>;5VwA&15z8&7VL@jkIv zB*8@Dc;gJsU1`NP8oAFr_^$tR=6EUX9Q4ggxgyH6py&%7N04gniQ*j)6#)byWXBL= z&*ZR7ye<17_!GdFF=V*@D({h7uKrd>xp`5kWl%w0KGIL&=IJV}IScd+CP<)nHmE5| z#_2ZX-;_#dJZREc@jKqq0>6YLk*dEWK_bln#sjFK zv8l$q$nPvF+LhXUOkclT>Nm1Y(N}BuOXj6qNcPOy+8PFWY{Jlqlr)1Q#lMYd?L+g# z&`>VzK58`)0=uA0;Rt-a;wE1}Yo}T;@T#ke=cZ<;di^L_>c$qlhT__$c}%aoEgn@? zm`mBeqmx&?5`^w=R{s&DcXU-zG>p?Xf_~9NGQK$(=xTFu3n}DnW-vgDro=Yy1H0r8a9hmQ4fvhdk&XQJ15cdK<0boIJM{!OoPAtfm}nMSVo#fRBD?IKc#3QY@W zpPnFDFOrlcskWGrLcWBGOVT!tj9)_J4LU=NC7zc{vH!L;ab3?9KRf!UyQ}L`o%PDs zN0wj1n0fOvbo}Uyeb%}t(0YFU45AdQ&PT;>M7Fz?J8p=9weo&vS;!B-kwU`<36OyW zT&?I1b{xjbhKI?reESxvUFmdBbfyeXpg=QDqOeZcC4tiP$xifF@;`- zOTT&5DX6@KsSxa;)eyq(&p7sk0I%R$leiX<_3s`TQp`}TGVjc-SXNs|flH})P zICx+d>2;6=EqIh{k0MdqYvPjjRO|9ZAJ>E*3rmU~TGFX(QkI-sO=aLwBj;}+w3`no z>14tmtf)KEs=-+?>{c~`m0?%B=l*D%n!6J_NrI6X*dKrrd{hx{(#9|~ihFH*T%gqx z4JDB7qd7gF`7e^!5FJ@DjN$^6&OvCSUJ7(IwfnUEJ={ugXFKc;Witi(CQz*E`?O^T zAYEQ$e!W#McIl*;CjeT8#3;2}@?V{r@Yc+p=kJ4GDhg^Ri zFrJlOq>p}wrGa?saTP@%Dh3w$29D#!uQnkisqY}>UcwmS>>QX72V&&b1w&$p=Kl0) z!B_p{eVy$#F&nNsSgb-USY1$rs1R6=NhTzu82B)#_qE#ZN%|F9T*(f~6RuRuWdpZr zqlE5Ly^wi{p6!q2joN{67A;wJ9(vDr2dt-~rKi^B7Ui~wIv>D(a2I395dkh@M?{Pga)5NVjcxtAcA+2vl zJFAxxZ?<**DC@=9sGG8aKiM^E-hD&LCW-bTkGJU|Vgnb6DLFDYMhEUDfm2zk#MG3~ zXp%x)@yLWc5k_{e#u0S?y6V4G%!h1a9x>Tu)VvND^LB-KrC@pG4$tv;dp0)INU`8|Qfum8#b2T`T~^zr#f z6y5?nWw*2hG+qqu4k7MU4p=yXd$)`&yy6`%l>#o9WNfPubud^@3=`R%0oS6Sq(}{9 z7!pkdl1uxjnOrNKT^JMdH46s54V6t|^8~^}N{3ep{&k?3lJ(P9EXKFkA;u7Ca`<08 z2~dp2CL1o=mXdFd~q--sNt{%SHE|7~ zNg`X#71ZUqGvd0#uXh)bO53(gDN2(`eEYo|ush!lrPkimEJH+IojeI9YIX@abAukh zR!*l+BfDYbE5wsNHC7MJvvpMsw$K#CA%E6NTE~rtee?M3D?;!v(VsLBw0Jo!|-a3gfHv0Oc;*3T%N8pYcSfBEr zRX6;XW-L+kwU3pME0bNrI65V?Y}2kEDF1=12mn(6BV;=w-??8W|5ge2lSVNUMP=o>d0_>^#I;R<%Y$jsZH zztunElcN5IK?#(jM;f$INh2gAEM8YElQt`7ukU{;xx?RCsX98|u5td4s7bbyD`#N+ zk<-axA9GwZqbE1Forl{>GWEfOuV24%oI8RVmgz-L!u*J|8sCHY+i{b{Ei8dnDc?({ z&TPmoYGz0KimHI`ur_uAqmG5ZIPh3ka08kvlCJk zXyEVz8+85qL(0mC7ErZEmq|x|KiplIS!!yAak5M>9&QH<5vx!-pt~0xmUVi9@>|yH zkMS0mh)W`b=A~xk7W?|Jly!pyEv2he8>-J=eN(QJ4aK)$SnuL5GL^JC@qBaH#dV(# zn5yYT%=miqes!gS`KPnYr6~S&@7xpTI62}tFmn#JIV)}`Y)}w;RJ4ATb`Y0H{zGGl zAO-kPkf4)$=R=J&=y^Vg-jxUOsz?^1zXo7UsKdWmM6@6U;jI(B+~x>Tvo3s7IEL}__r4JO z=FtGID2*AmgO4oFB4h-562)N~mZlkp|M=UD8uXY3iVJfGzIfHtn(oKlf*~R#*=~uL zB8p6#mrhC(5CdiVrj#%dc_?784&hn4re=81EJW}pVdZw&?L!yx2AzwBS3ag2gil`* zv1`*#Hwd(|^14YQ8L#be_(}O8DO{(tqJ%DgfGU1>(lUVKGG)5RgHTFh73gw`dTwO4 ziQu*iJ*0+!Zmd$Qa3tL3dJ!9ItzaRe-J-T8vpDG0~`1}x2=#`!=n z3<-dm;ofBk#pyZy>C<@S9%xz>6fOdd1G+OhI_G@=>YurQP(Mv*gUiZc8y->@iSj9; zO3_E2_D&qrP{8V~ADiG|x=O_`Kn%`$+L`&;njja~zAVY%lE{Up%0y<>a|H8QFO53v z4QjpUT^QN7Tw=IoyWwGgf|GT0az|h@69M(UZM{=KU!&OMM6K zE{m$?=Be&tHF}Ck@=LAeec%jjBFklM5zs}?&7sF0lshtgC#wO1Kp2ioVqm~zAfm6c z2|NK)7-k9FVI*1zFA;#GB_)%1*U@5K^!E{3IsMbh5BKb3w(H0F66-aHjcV;3N+HV1 z3_DKlX1HI;e*3r4-L1z>8=gE$UREIlUo`1X=CEZDLRiS9aP5xWV+<^ZyW|eEk+=S% zK=@0rVuC+2ezD@j#c50g7nhF(YYg&XSAHQD(<=NWdOk_9T}cuS;z!Ib*8doTVAAs` zN+qW2xTAH(Z%6|KYp#2!^(Q+N;(PC^8sv?*m@&%5qguFXmtNq=mBI z)C6m9tE_O~z?a2Uu&FrPP97z#H-*9P!^se8ATGOa9}2BYja28hw(u?|G(Bg0%jItnlqA&A-$-%j=Mf)%cYr^1N8)L^i+V-9LdTG(RAeNb z=oupKfuzF@(NJkFqYzQ?Z7^poLlcDva2Sekdvtwzvg82%bsbX-&o-hSRb}26x`~ty z_8jOeQm3G!Zty6D69Z~$x1mxHU3p_)1Z4Ff5Qu4o^zc-fIdG5b&4`BJwSXgJ)Djx8 z#7@Vm5yX*zk+Lc*kI zkP6Ap_+CDyk9bx5>c*s0KP>JKD)oC~1*RA-5Mv2P*{zPornbUcZ$h1;Qwo}a)X80T zc&_Yeu()Kw#;|-fry}3W5DbvTc4t}e!G%b5sr`ZkEz1V0x+EfIikZrS1-LuJWvy_} zN+*V%+IKkJpi*4Y$1+8%FfbKqtKeN=xq}E4$PMVN(}_!yHCEq1rt};fTi6UGg!h4S zu;xQE&7!jkr0orANiIbgEd*zUTgHZ24JL%d(vHRmw%X^_VS0qi^NsSHY47&%g?5{otMW55VTEQu21_5X3>(QjpozAzh-=;#AT2Hcvjo)WIs_bcIE1 zBc86@lNTZLk{98nd$Fig`yWFI)h(E967#95=mlQH#zp?N~lbdZu#_d2tzR!ZB|3D(FziqS zC#q$lCvh*;GH>_$ELanBajN#`+cQLAYx9JRKWbVBuKupNdKp&f)PP^8Zhw}g)GUea zmxyEj_UM8=)Qt6?$b=^T7gzrdUac$7Y&sy`>dAWXj@@})ei3nDa|^@Zm*)YPy_#N> zc~nrg@%46oN&LL(zlJE(D=5HT5Z<8=N$Q6d;(CH+u`hTs(5XFzAj3jSq9nn)r!E#AWrV(|J@8w9jDc?rfA%+I ziSVNkmLr1yBuZwkv>qJuY(AZP3@$==mgui}EQLB|=;xp}1Jw%75*$>XCkh5`*Y_^T zY`qCG6ZjF-K1Vp82TK5Wnxh0Y8Km!%TAm86ZSg z6XYR8Mo7t(uVjJKva_WmDN?qqtU?i?jO>}cDP@yUDXFYb%4+w$zdE1y z?~mWPo!hx}Zs*i>dA*+F@wh+k0~M6<(0Vi}g37t3>Byp9%8=am=i7TZeV^5uu{!wd z;`An_S67#FEj9}X)WZ_-9(-pvs;+I3Vre1C-~K1~SF`m~c1oEFTJ3M%aK_LS^*Er^ zq78721#wAx>v;jr2b%xnF9S1{j=SEsy|ymKeBMT8=Zld+uqZI8xZg)miis2;9EblQ z2~JKqSy=~bH;0DJ>A9cz@o@Z`*NeC~qu{*G05r;;u?u%3;RTqKU~>({T(d;A2J zv|utt4Ad`FjY1Lg_5POMA)?}o(CCnVA)=#Q3<6v^ITT+ql;2S7ADN~?Dif~{gS33Hn+^rr#v{PAdulA_7mEe*n2$ev4#*FIbAQ&KT@T5~`>6fb-ZuK-ZXn*s zZ{(%cmz)mZHbT6@)FQ`qk@4DS@V;w?^@(9!VRXPlmfc+^%8Ay}^4ISY0@1-aj*Sjp z-p@A4Ykp)e?DhTMn$|Z5-1|8?g--y$_xr=mBR{;)SNNFxj|)%_1Z_fqm*CX{X>7{E zFogI85V!>f0p{S(b)2DeXDlx<>koLXLBF9&DLfFFYOF~BMbW%r9~Sdcou4uFEE1kk z9pOv`N$4SSf4b-zL%b&tGK1Ei}jcz-eWT_HoyciUdzfTde}QGn-0E9{sb>2$T;b z+_Y$NFlr34{0_sM<4j_E*7^SB?fzwa@Zrs49Mk}gvyCuRVb>rSD3iO^AQv2>al)Px zE-NQ1U2tC0o}PhexAJE_7#PPK6ks2Z&W%998Qz9$d+0A7vrhlAr4G$|Ad%9ou#)h5 z{Iw>uq(oxFNAXQh{>vZ&G7B4yq%O+oWcrKk2)$YSuA+5xG0cIKMnrrP@2S1L9Td%u ziRw49YEo{9ZvdlG>9Za*+G7nqf1TLY-3>Ls2@JsIPI{BiZS` zO+gZu_<8Xrn5^RT5G;x@^mX!&PJ7kT1wBHyFtlVjwU(9Nhu z@>sh$pW+I2<*S1{?GJcD0jC9lpyUtq6IeUNMbBvo;;kKONEO&~OyjJId7RjOrwoN#akid>O3#p#Ymp8H|AA*;i21Hk z`$S204eTcZYJzICk&UFt#_}wj-?aA?HxB}Hqsl`x^(5ej{|_Jd;o> zO4DT=0H%Z7b5!)x3T)GNN;Kg|fCli=*dRm~>JXz;Mjak}xq$NeR{~>}>{9MB~_} zTy{k>NiWqW>vw;-1qUOd-bIdv8?IZ#YQXr(XK|0u1w>O6ekBDR6+bq#8Hp3e&nqPD zO6d4%ej7GlZZ;{;2vd}O;(Pw-BMsS{%QX*@_9k~HSX?7e+&7?60#}CFE8X{}OkX;I z85?Q_u7|QKC?1Ya73#MS>K!*Ns?nNuM~7$Qd3=YCEFH`J;aQ;p@nnNSJNJ)aeo6Yb zRd>BGK=}dp>C|@X*@|i=YmbdIJe2 zV@Vt?s;gB!zgKg~w2CQu?qTWI{{9^M`+Ds6=F!Vr1JMh4At1@(?~malDqmV5 zQX2kNIZSF_YjL@NA)v#Fi>KVAON!-iMdR^i-CKI|Ld6(uavOObm^+Y0R&0F0_sah& zqu~*r^%Ad6I6e=n)pIwd*$Qgs^=$4?w+q^zY1a)_-tXAo!@v}!z2vBgx2=rrIxFX=tb zj7UB~x#s;}S~(FgQ4xhkE<^I_%xc5m-^U`YLa&@)lj2q);&l-|yl(cSxBTFYyI^*^ zd2{Zz%PD}WSz5>~&rH;h-U9p!spKvRDY?V{TppsH1Pp9t45K&5iaU~~w>RT2#LsfS zedg+}M2i^3ee;nmElHscq9-1Fz4-Xf_+A-Bu@e6m#)$H@CtgMgE-RYltIhcdhdd{;!R4yv)WbfPkWzy{)^6X_2H4LP7}}K(0Trt^7%7GT>S)DjLjlbq?|7O+YM+)LgX2a<{OitXIa!T@A zd-NBH_5m{d8UO>b-HP{*JyZeP@89FxvcDcAbLe#*W#_-F_2Z9yzE{TCpP6bIske4W zjt4;(O{9bltpIk{+R>5)7uGBJ8WMIvL-f|`Z*yzFg!rR}GHc_!$2!_IEmGAk6o7w< zn}#m#Q>iUa)X|@z}b6 zrh-iW-KT)movBtY?LY6p1fdAd#LQD~h;#-kCnwB(Sk|vEL@YUT5F@i`zkOZGuoHMD zdM|4pbd>x;N!-tNCku@?lq6fJ@mr881H+O(fH%&JkK_qt@I~fRvKz^10K6vP8J+4$ zw?}+oHRps_?Yff7BDzlV*9~(8Y5SXY{y2zJ94*G*v@vtHr`rgl1jyZ%P}__l-Gg{d zQ(p9+1TwBpK0EKIup7%5gMBA?lMh9kXM}Y*;&#hDp^r2&YSWD|bnO!hBpVrxM?T$S z4;~#9_oxUT=aDtw(hQr)sYOGU{3|<@rtV%az}83QrhM%kUXswsN!fefBYLK0o#fds z?;t<2qdyxGc#kTr&zW;cCj4)zDf^ZIxwPw>G*3(qCT` zCzy}%n(DnmL($%iv2h;NcbhU#UvK%6f9`7T_(7tRD1a9VvU*?UjnJA6!@vVYdRN_sX7}z2>+jz7JFm1m-C5yT`LOv1rV>6`H0qz7OJ=4<;*B^Iq z73~x};jqeO9UAhF#{fej6cZAGxg1Am@GeK!eLGxC`*C{hha9)y`@y9qoB6Dnlc3khzF4-HYOH4D^3SyY`A_8K42b^BXeH5VnCq#|H#NY+p|_hvN6?@|z=>=dvsdq?rW{r7Hyg(gkX zkDA2K5uHq(cLk?=u1Iu{!0nE_RQo=V(*W^+K*unjD^d<1BYq0}BhZM!z=TS*sibJ; zPN>|4?!8mlIVQP-25<LE`{OwG}Q!qKZ$-D)=t zvJW<$s=BIP>fhM{0RZ7*_n|$8IHH@GB_Bi)@`h!vePojHmNSzNZW{cU1sY`W=W7Dd zeF1E7`P~PsBe~1Y$ml8xrm_4!Nj}kVU6(`UCK>AE3`sDe|MBxD=v3xp&oxgEoUKsa z#CDopY(*!QZc88(_-GA)gCd7vMy_i=5F#K}f#kwrRbQW`}GtYV#DAAg%*0uZPGF@aoU-s+o z$>cwl3+#8UBN5FM2Q0$SzGWns{{T#J4-st{$7ayj6N&JQLU51HvQ1H`TF8;viH}g7-tgT&S#|1X|(UE7?p7z5DS?My@ zHz!_(5v~y#hMqJ9dbi{8izZr|06xB5UxtXtH>asXy&6`|LwS7{F?dA=3-W6vHaxV2 z+I``Pn^JOb5ER0Vu$Vgd@YSftD;FZ|9m=QrZ*7u93N0k0xH^6k`GnHa?4g`+fS0K*zf@J9--dC+^k_5?90iAh_>4EXhYI z&Y|~OttYAqBGnE!rq8b@K7>0mLS%?~a(u5%D3)+qeAThsne9|DGl$A`ZWeDHU9>&< zIV>DPu5Yg~u6YetH*;1`=5(X>!`)$-j+>H3P(mT!b6{$58waC;T@abpPHPwzJTOga zoqX`91$#IHx|6p0t962V#a$bnRU5oNFnvfgzMwtR#q}x6^@^EhHKU+z?BFdNwNYAc zSgyNs%Za!D`ZaxUzY@IK{%??hq?&=vMhT{FPnU-+&Rv~^br?3ZqeeR*Ak8hKkTnqK z4AA>rV!;3oHQ16MGLw^A@Us4@a_-n^k5qNrr~dNNL1(SD2VSmw1H*sEM9^2f>Ue24 zgn89rQfXuamhmQg1D&-v1uKL!bYR`xhVY(`%hmD;^f{k$a+r>2cl7V;R(v0U!6%W{ z2q+kiMk=(d(TqZ%LZFe-JW#rXca@1eCb@f+7&H+^NQ8UYYhWQTftz`+dhaulhxc~f z{>mlwuTJH((vliFU`4!Bf$a)z`Y@hmCy#P3YP0Y%}Ns z=ml~8m*S|aXQ2J!F?ID@{=Nl&*cNEKYuRNPK1OscA2)Gg@p!HgB<*|6`L*LKgU)s* zi&S!k(mDfXg`EA{BPl}hm0|}=HBRcvz3cRKRs8iaw@`!gik$cbtMHvaj-}4eI?irp zP}37yc+zR`lE(YZ_m|FOL?nZ=>kT@aUCo&&g@N8vTZK+;`IV<;0uoQVd;8 zGW+oi5XVvlwX(p~r9QZTK^F!<*9?z}RbK7X0#>6ZUEw=}lp20hS9gqgO^_rlnV5`SwiFFhp|vV{XApg!ynNBDaHSh}e~lDYv0!K>dg8 zyneYZIP7=X!7K`8{?wve1Y5F6`{8X4I?Mq*f}hsRaGf+g-v%ZqE`(*=1R^(|$~zC; z#aT>jyqD$9uf9*kiv0etV}I3Ke`ez3IBD()km#PrOGkiOReyfWzVZ(89Dn81Ca3S9 z*IpqMT^@S%K!QwK5oPUr<=70hF*jDujW~GU5*zQ+rG_im#eWyp|6KsM9EHSFR#sRS ze!mH;G@gcUT6gtBwP%l=rg^^C&!wu%V&luYXswKf=sPUDCMz}+*0t)Q)cC#iF@gQ4 z<)fag{kyU3zWfz91CM?+PUPm-%__cVLutL2E=h0vZh3i`T2bJ^o$Ymy1Sa|>NzDaM zo;2n>dC#C4)3mz7YIhpzLf>Rf-(V3iEt6cs&wsa9lXJFyO~kU0-kPy}I;WuinSWK$ zlVm~U79lbFM(H01yeGpTUui?w!-Lx()>bWK5-S2{(`7I949j(-jWJJc-qKvs2wnd> zm394kPUz%Jz_rR603`#ZjRrj69o^hGRC8iQnzA@d^}y#Z9Llq70rpKuz^&h8$;&N0 za>LM)D5E!Te*Sm;7)3mKCnyQu6S=GBxYFdP%-K}OFK5}eTyChF+V{EmhY%j_F5@3u zS1(`whCM_i2iHg`1|SzD$;u@^{+$<@%S~=5Toqzww3Ao9J^8zV+*0z1 zK6C%aw+j4yWlVR@pAK~H4inMEas?YIMn@{i+EYc~@@cg*n;re$9$(U0Yc$08DiA){ zti#fg^t&4Q$QmYk=XbkP3Si~Q%fKz-s#YqN|IFq*U;KqMQKnH>dC$}VtN7X2_U)&>qE!M&csX{);BwQk@D+w}ay9H;O&5n*g4ZDID? z_R!@K-Yr?^Q(-`JL{26Dgcy8Bj`yWI@{5#zgYIFh=gcZ+GsDZefb*Y7b?TUP)?cLG zrt9B?Uq!au=BcI>ms9)X=KYy>`_l8O_?ytHN1F!?sW_TB^-Hlh$4Jj^w{~VM(Yo|w zTdB*tOz9GabqBTt?&v)?^(>U#FqcLkD(l!olw^@w2Y>$f0nr=Sa>d3rkIw!hZy+5E zpR?vbr%pwhK80c3x;x2S3iB}&uWd5?RyzFeWImj&HVTxRx;0&WHs8Q;`HPKXJzbuP zCHDd=eGN3f!JosehtLXWq`_hMd*%;e zy(cs7$2w@WT3~eYkNk(m#3bKD3u#BC+wXnf1#w5x@iVNy7o`=5s#WP0NpY;-&ou-o(SGzzh!dMRBD^=AVYxE933fQ*R zG&i4Pb6%)Xyt{%AyE?D0-;P!WwWpT3ntp$7us#)KHQTaH7g9d>2*3Z*TWGAFy#v$k z1p^X8K(>5QW32L7VI(y5!m2JA=XHCQXC+Yt^prBKScPG5J zrR3?)VXWOX`C#0Ym#sHX;z%kP^k<2avkTOlwlEI<2k|_NHM9$odm7h+JZh-=nXj^o z=_F1ymiEtB(5h>$85<3mM%*pe$Hv(Br=n76*Q?D1kD}1gKAOM?cxde7KAn?(?{s!2 zFjspX?*l}D1%jk|E+(`dX3VTn{ruL^C3f^Kxwm@{lXmA*P=}Y9jL*uN?mnp^z+)wn zk3HhpD+bkuc>d;MK|7bjV!9k>eq>rdu0ForI)-xO^gcE5070G4>dZ0a-@Q#@A~M@L zf9z68pZ!57+^bEv4AIIXN(RxJa?o&@+A(iwA@Zf*&Ya= zu9AozL<(r=An=Zt3-b?G!9=Rixdd?{xf;f4FQk;q4NNz((cFC~O!Bp(XWtCFGJbdhET$&{vLqgkP`c-5vL5QO;0l-WnXFmlP?!}B6SgdSCf5ZI z!6{T4+XKBZ+J@E0EK2a^D~2R%Jt?=qkjSymg_K-_tee^@NUHCCOnw%#^`PJ(RTY(p za}g5}BD$`jsZnZsGSTdba=mqi`FDr4z6(emOZSX#g!j&_tj?h z#>k~8CalxSH2bU{k0~@9@QZ0*ST)Y<<=qEd%P=>P6up!7hNl*2OT6x}8k_X&2Z$yNtISIoL=NYO-`i zT?ff7>IPni^)2Yw>Ti?$s(O{1L2$Y~lI5F$|Mge%xV_SbkDaDk{W4`%df)EZAm_<5l z?s=W(JM#X`QU+!fH~-wZ9A$e=(J3xtt+v(9xKoD*%A9z`%%)HN2;sim`{P%zg6yrx zCrneXCtuv%H}J!`v=)Ol2}wzkzk9SD0p4qMGFYNVfh|FKE|5ZD1Jbfix z&saC)q2`-$Pb8z)H9i~cyZQ(ghRZv*2ExAlHc#l@>sg=pRiZj@(ITV$uc$~|z_PswlIE)Z2{T2->qUY-0P z7dts5qvS?A`b{t|Ue3)8o=?3bXyr^1(M75?F3T95)P8eS!nQj9uIYh`@b=h95r z*;AWB2fr+A)@9BcZ2T7aKt9_@iL`5Im_79{H6Wn)WdZ~1z%RPonY8tf6z?02gbW2Y zX@i>UrGg&#yhyu@&F*{+(s{*AP#+D*N$2{Z667_9uF@7?7tDM7D`L|m_V9;l!fm*~ z(FER7rFN`IH-%kFoQHQSRw8&=>060uVjk9k;@emC0&{Et#Q4fq(muUVV%Mnh7YwHv z<_MWi)mKm4>-|k?Xw3n#a(|>@TJN+=#4D ztc2E#QRr;NMm%PnbND|~e{X%Cy>EmT6NN5DNfBNDHsfOB4~h{(YFp0>7g5#oOH^WP zUjS81Ho#qo1L2wvdI%pMpMPB9|NQOI_$^&lsXZ7b*iP$^Zxpg^+-T%3H=a@JHF&mZ z^tfNzzZQk6)wxYwr`5bRnhgupNN-}3)w>}ae@T99*KNxqsK%e@o9yzPGgrD%VO>{d zB3VW9@BFtz&wyj|6FA&q=GJ7eCym#!sC#X!zFv3iVUbE<$Ao|Mx>Xx?De+}5vrZB_ zjn8)JF3j5K)T2|Z%(25{*GYd)LX-T7wSKR-yX1bo(s!2y>NUv76Gm48O6r zr`t=oc<(q0VmN^sr(@Bi@8aeatxzgcMCXURGEM_^yxn|2nSvp#m=sU<-G{NgSZA}5 z(Q9Pa;YCNMTsK(dOX4;e4?EY*RIHoJZS}vek+wNsBe0M`+peGTZ88u2!)@#0GuB5) zjMrNNqoMQZpBAh|uRs2|o1sO@a;u#b?}ytGw0o^IFPF-ktf&G}&~lQ=zl@PMtu%Ke zb^QUWEb_^FvK8zZ?UOHVpsZ>~PpBQp<+hs&Qqs_*xhG_>a+vw;-$P}*8~%F`Y5M>7 z4LSjyPFxJmc;{kUKk_Qhzh_zv^v}>9|WYTUVsND^Q`OT%hob=9P6* zi64F*RgpURJQ8zY{0Rxf-3KPGE7%Sd) zfyJ2HploHCcSZ#-(b3zdE;n{0ErwE0-z506!6d)GYndgL-9t{iV~s=h`_-S+M{;1L zyeli*5lDK~&ANTQ%-dQy)l@y2`tRX~!1DxD514eJnj=Y|U(+#SFQwn)FK9-aIKnyE zmU-7;heX)74RjY2H<5*`P1n1q_a374zs>zzjD+j6#lMV+=F&Fxv$|c-;NG@e*hPXF z;rhi~V~NLe4wB(ft}ag%lEg$rJQ!_xN5`(k}WaBA|6I~ubAd@ z{x~jv#|dYO!{{B`4o=d0|UYa9-_@Y*0~9i0_!Np@RIqa6B=m`BF5=e?bEW%$m-T zyxzIXpI8m(9_kIzo)3F@pQ28to8jA#Wz^njrfXa(tRr89DC}&y#>&v&y}jf|CR8?1 z{2SMF1l3ycS~7iqRJcR--r0LSJM8LMy*$snwh!{h9cuD#Rj7j1gp!ItEC3NhZ5>E< zIu3Sr7`M2A@_ZSlBI}MDk?GQ0RE)KCZKw=Y%~y|Xt7Bj~MUJ4HdGGxHJ(eLc&2LVY z82p*5T9l@X9ug!As&q1KQsZQMaMG`#FegVM*9|Y`+uKE#lJr@nrGs3hT)b4vZYE!R zmC5wiN7(%Z+mB^~KT>hLa9BN~u^%Znpyq>;3y&jZg{>t2Xh1NK>7Ec{b}FmXRC9bz z1n#~0(|mtpOURS=iJ5U7w$*(`qSM#*Jl+_1s*>~HvRSd+X%a+E&vC+7adw9L}^yy-q!j}q20o_gtg!&n0p zZ6LZw`sv{ic#N*Xw$CPO0Og&WK9p708t%RDOuD{i-Ds)(r2ij3x}9|d=s<3*mpGam zT`?Bd+IbZa>%WPfQLa(ssb~I8Z(&T1?g?o{b`%?Gq^2+mIsO|TtKZm33%8o%-fWQ~ zy*g&u8tdD($9@}f?@ZZWSIgYOiPvLp9!fI{Nk$ zz?H@Ca{6$L3{Y{$F5~8(Zt7yXp$d#2(^zR`$=lp!!w9#54Cr<;kCisuXBw}Ha9DYoOJQ=n zctfgJ!$)FI;4YF0>lyYo8tf09wWujnYW~J-{h?@!5jkWkU=>YWGZ$YIzp?DdcxX~a(EzcWf{A7nx{mf<*ItLlO^$G=cjK`gx(Ei zp9%hCGxe&~+{h^8mxf9rAAtlwG&hFemSPq8W|{%HraZa;_4wcHU}YYT`yNlbRra29 z$n}NIPfaEI^2oQuN!Dw+nEX3K9TTey0^%LMzzU9~rPm(6_~D;#v0*NxVD@>U+>V6a z;j(M5@(xUD#80en_5e6TTg(#B&60gEO^kk-5l3?yv0iyDRes_N2J*4DAQHrse2Od! zs4uP(8~bUc#G5~{X_K+CGXsc?CdydApXY4N~lP2r{z zsgoicckbRr{8N=FThiGTUZ5gs8<-|k2@do#O z;j=G2>JV)E&Pg^_L|uIsS;*!Qttm~Jf?w7{jBTIg3Ac{B`s%Ce6H7C#_)3e^ZL?=U zeD)UndZ-U70+w8Da33wMj@fFGw8Wfcl;D{nhU4T1TiwM(4)S;j+aLSkT@Q@DW8&L( z7Zw=U0dk&NEZ!pyJw>ma3((@OLs9U=UbD`$6X>k>1xo9=5)He~Fo_O5i(~Q~aog$z z{YTJkgiHhV2T{J|3-}Y0Ui@61C%M|>x`ry&Rr;VW)s3CJy1mwJ*502URkx+Qi3(>o z^D~>>^cohN1L-Im_90J@X0m+iM=`Hj1XV?DRrd;D`{cf1zkN_AG5QQ^6MjOHxSi!! zvi#!A1~$!4rL@b>l#D$DCYVa@qCyH`J9|}&9Pg`g+gXUIAe~4+gEpJt$%Q(ua{h(R z4Z?Khf%R_TTbhTEz4eS~N&jXF;IfuBP|(7%U8^l3W=%3O2-TK9d8Ta3+qSU3%d ziJC-b1bj}{3MhXbL*J(~J@lf2vu>O8r>;lP7D5fa5cgTfzsXYOPUnPM+@T<<U21+PDNORU8z2;?)@jw5@6j(+I51nw8dh{=s^&(!e9aXBV;Z7o)_U6J zXubZ02__Bab`()(Rv5;E7xrkkuoG90Z)~^b+}@2{$H(6gortBo`}3(q7)@YOC8PWq z=3ux3!SPH?Z0_gUw-&x~=O}M|&)wvfSqxpdtl}LWTh5RhK{xvfK1#z zj-EKT`|_4paC{JSGQN#$4qPG~ZWb0>P#Ib#Zud^tI$Ht)rzWqGF)NFDyzDo1oJ!*? zyj(Ci=qoIxNEugezcaW=(GJb0l2WJq0PR}!dt)Z&utyEIOLWY6Y^?sHIf7pB>-XB8 zsngUV4I?9Vue*xL-N?YwNw#{yUZ$T-p1;h?Ox)L`5<^P?akqQiy0JK+Z?w1tu4Gt_ zI&A~$dXMo`{u0ao3Ljt=8!lEnDx5lXxE`YSGV+VOUgoX1`esP~zM)lM!7P}fQfn(Y zN3O0vV(c&qVguUDtbv^!CCDf#!o`*=+bC;f#JyLXPkplOWoycWr_jN`8ax;FlHSCb zWAak}3bb}%L#{R{mY54boqz}taTxSw!+Q<-FiZaV8(`U)M7|OU1inu$es_?2w(3JO z!v$$_tp-s;yzy3DueTPgh=-!w|G#fI!&F_s^M zmel3=RUff<@#TZ}|5aP05{E{VM7!N&=sx5*B*u5yRVBrNKK9eQp189H5%&6`=2Bs% zBlt276fYWw5|A3Nl+vyfzRj&jyg^o{h^}Yz6=U_7QpDS9k`?~#j2RkmdH8QcMnyq8 zWtSwZ8~bX0#ROi7*+m2bXdNiAu>1y!kapj7|!3~~O1B*57 zAd0EeD5lOR-xiFkMBgZ94?3ts_{B2DUykwS&jpCZuG3?A<6$vNcHayC_I%2;T<{gn zE7b${&gXI`bPSG-SriUK(n>cf?=KMot&Ha&@DPa}y;sAa;C^CsTA;2V8?E6E-^sNB z;`{4((8zkNCr~;;W;_MBtl>^LqrkkaK{Qqbf^;xIKfPWgKR6j<%crvKeY$b9Wb^C1 z-gKMh#JFvf{~ZrAe3u=$zpmWnj-N6kBY@M6XS6G9U?y_=M`<<>bcTGB^01T6 z&U93YS}u39f=k+pxJsBcJ%QWETc8zsFX*XjTl>$??S9ul$hoT^RFF^N`zi^pEWlCxt)! zA1dWnLlIheN=>`+3f@s;F{r^u9yN~;xDaZ`-n@~!Fqe30Ls|?(-Alj^pZ1C`9hbP= z&GaEdH?}on7wa?b2dj+^f_Pox{Kt&s^k0E=gBqoB^~r%~+i=7TZ-|}HK4E0kl;(D> zy!k521@#tV=3OHH_gcv6x#W&rx(j!?^#?3(){t<$K$+FCcqo>x_#5P&laJXSY`!c{ zkd5CI3zrqHtI!PWq56d?{S4%0!bd+rO(aN?QI5{}3Kc_2W=CPr>tf2=L>GCWbsm#I2$1K9~h-h1}c|)hrZU#gnfrS2J-5hR~`dE zmVptfx~K64A&$?1?Um9A;tRcBaJ{u>z+EnE3)D3z%lUB3@p@XN!Ept_a~ z(T~NHX%An_&gk4@Pp?+xzr;Ym^n0EBR*j=={Tvg)XH+^2uL6rBul5R)O57iH7qt$j zT{%kCJ`9$D4keOufUZWCXMXkH1K6kboc43EpbGo(+~_+s9GA?bCFORdTzPrO$EQJ} z!)CilS1ep_Lk=A|d{|0Vo^~$Liv4f=$(yL|G0PMZ;bn0fTc^9f!Jnr(H9-?70x-!X zIt}l5@&kI%=HBn4v++Ft>)Ux_gQeBg(y>bcf^}V`J*uxBCipM=769Z)?s};fEAmNy zZibhxlj>MX2r}qqSS_RWmUOaHFi8e$vS9X6I~CYNVkQK%^~%*;T43?umm9+GWImNS zp}+Mj>~!!G+k2P?x`E8N>&KV|-yTqHDxV?~?)k-JQm;*rvB@^Zlu`}*naza^k09}A z^Nb1hxs2grxW^v#=pmq0!b;GF#T^1(ROu|Nb29B>BbOFZjMftUh0KnybXUi64Lf(X z(whpF&i^}2$yDO8q2dha-_tB?(9Lwmkpg2{C}2AlVHI}U+A5d(Ra3>&Fv0oRr=3&7 z=6=IxELyXmzxo&Md}7-g9!HOTv zMEi`pwVq_Nlih}b7a`whRyYg}>+Xd6$9GfX|H-#N;{U{lOy`aXj$Z}AA&*hI7qRjB zkI-u!eJk7}V;{7=`=l7R`O`l+IsVm<&~85R!9v(Qz;!VS-%uy2snVD%%=Hf6vdZ>k zu8|X!F0jC(?J2m=NT32;xI|?cQE5mQmDfkSo62|~r*R5Dm8munat(s{jQd8;a-Nb>k@BRp3;wB~eewAvibv_U8Nq%H>9HE&Ltq-;t3t;`D2q#JP`o-yrRJ62LlG<{SF!L4Ak_Oqg4%}Hr5|A z>>nYWa^UXwSe0alloJ%Iq%Jp}c=&usaJ|3FZ5`SX6%}=#TFm~B8jZ$cM`Ul}MPZS= z-jAOC6@@#}DQoYinieYuTTO3x`)ab#)$*!LHrMO`}8K6)6-Lxe{<94k`siZzU$4Z`irM}mz&3l3#)2z>ylo?NRW z)*Osp$_vgtzz+WY9{XE|gelJ`HX$23U7E+?T~8>nB8od#oh&umDWDhuAtC>})c0X_ zc|Av+*}5S6rid=(b^lv46CXY5*Uy2SQD$XK#c@>h`S?SnA~ez(FZBe9=)&s&FXEhQ z{FYoCtU9v(I{U1dG2y-C&CAbkU3*<#AnL%UAXMFic>VF`)kT30m0nXH43yNXn%57= zEpO*{Z_nFbF3|JiS@`YU9Ll3LJN>T_N6>#$@uYai#OMI3Slrj|D%lCh?u~wHooJ_e zuY&UQB$rlF)6}A4;&zks+<|K{9l`Ziw7b_H;hKePG@Jy!z7G)t8f+E)f_7T?M3Xj+ z*3tjEF*}q{7h_EFA1l7=m7-}L{L~o)hdWAc(LBjx7dpmhb2PN5B8+uf3=W82SPl!{ zn(lF^<^}xCSBn-${>avcm1&FsXx#f)s1;Rh*3`eS^@j} zY%DDJ4=qxdCL&tP!<-s_JvbQL@};G+xAddrFgzV(FTX#&=fDL@rO&mgAoKNFkzQ%0 z)J?2^?qiaz7voiDa8v8;NRD=*Md{XoM;p}cbu(CQ0OPL4>mwV=@fmgzU9hzcvSi65 z7FO22Cuxxn;&APS@5_Mz3`-%6TLaV+(G6(hNOY~AHG(CQ(V}5gQegV@iiFNEHWk{& z6JqMzP55ocJ2#wnqQ;{)1LL&Hln}nOGzsSy;U<1`uoI$+0Y}ltZQCX+;%$wY8Jz*k z<_*v0!rJmuBbRq{l-$ViyEvNX{%Gn~Nt`%k@Mz(1Q)JnJI`eaHp7$F`rW=dZYfMUa z?LS+<`D#J%s$KZZ%^Myn_o?b$n~aQL0DW<5fMX&-FbhT6Fu}*004usYg17aQki#|t z61X?^d04LN^Xh$v8C`G)e^nLxXn%&Wh}y$rQR%Z@;n8vqCiq<_r_S!#)cc7)Fd7oX zfWeU%Pv5TttH_^$7mytE=%*U!OWGx?r^v8y(?!04n4E3U3Ktx~Cq06Tl zT&{JU4Y@B^0&Dg#w0a9(R;he>vR5%Worve+syyDxHBMsf@x0HS!YXH30=L* zqwSq@B%3hNbLZlQf901S%U#~P(4(v>_7f|~F=3qmbbj~;=&~n_UZW5m!vP{$J)kDX zPc#asYSO~=?4RtFj1>X16b1IVznP92J&mI*(QEY0n7K$wh{w9~BJ}M&*hTIhw2bbi z&1e+S{Wv@Oe%}V0hrWj}1&z*xyZkA-RBkO;8RO5$Ip%dO-4&W$!V2bv{XKmV4y=Vr z99nHF_#`1Zf82$T{6t(uSoW^xa*y0aBboeF8r?&LH>87Gsi)VNrQuE#}*P67RD4K}! z9poG`y%T(JcmG$)I`@;h0M3 zz^24TnsIi5_E~0PwfH^gm{i~;&MTspqKQ;L-*$+>oPYNay?|MI>2Y_B_RW_@zrbbd zqI<+IYI;)Ims^wD3%a&H_Uess$-3~AH`h7sNluQ!Mt-=awbF#?mopUyvbFV~YQU+9 z9JDSw$NMsoz|i6O50|psL1TkBZY>OiUQQ=4$QK zCI6Sq5kkU?i{5;b$X8LH$)@>b?+w6__BSkRV%fDSoe=7m%^G-)-}~@Eo5KfwFmEzs z9hf_v_jjn?B&bs}FGRnSY3ZCS%hr267ovJ_jUgTupcV%Em7hC$dyyC-%W@jo9Mt88 zviDrcnH#Kba_gjy|9P6sGaxta<*>Ds*7)Yh#0jQbZxRP@$=Tm=e|oFagsW_?^MmoM z(S1t&>{4IDJ6j;Q17G$Yy9P|w>LGpCTXP%S`6E&YQqg<&QORTLN9Ol6cHv`L+zWrClpoaX0|CQ zYxPXH5$a&e`;7hUsY+GpqDx_~*~(n`;&v}8OBvbu3;@gaV553i+iKCRl4 z;V&o4Kyt&F4|2`*2T(e#emf(|c;Qh5+7Cyljg0OtJ;>j*T3}@fMpKXm98WHFF$Y-@(>elfpV{uL zNrxiwK?v&jX_c{Gn^20+*e=AF8ZKD##TsN0C2KO-4fb=*iL4`)=ihHjFfGAA__}~s z_HWx)&V_Xz=oR4rcEsn$z|dRfD}u%rxr4X4dtH^1F%UVXU3r_kdK1U9yiq73ht3hL z*acqhoOtPwj{pEkLwP-uET(w{d~-; zUvK>ncM`daUT2Pj=yud-P)`5UZEk1IE1$IeCf5`dzSURukjSNod)!T*trobU%_xKb zwlDR3EmA;$gfydjnQjB_yJOoU$?qjy_MVb8Sz<|e{Jgv+%DVf3dUWr(8Fd~X)(1Sr zV^0{ZI+0Rzg!COcofqT+em*`=Lf8gK2%5@!=PtbP!1DklCW#RH;DJ~>m-f@l#Z7P_{ho3x3w!+klscX9wk=pm$6R7PD2Kdr_K&=-*g(i23AyO&`Da<2j5p#vqKw z$j?LON5{lh!l%Wp%KPu{)h+w4)hfSt;ko@s!%I0SbL(hZu!yb{Lu8#fzeBGW;p%nK zYzOlT`JuO#f{%1Ah7Zg=Eb9`8w6_Z^j2!SU8S%9YL70{G>?;t5NuW}*@YaGX1chyK1^lI{A| zO>D4JM!uj|UH#!tU-5Q`>*6RcAK%Oys@*ntM_o_ce)0?bkGv7#M+YQ>SGuUh@$^68 zne{#D@3$ycr&h1SrH5Pp4hTN7qmE`rYn@J<#G=zC!O`r(;*mY)-u%LAxdyWAeC>0| zYhS`4eA)p8aV?UKU@rY?+>Z&NNWGY)a50{rf6guf531~cf(WHl`vlDJ=e`;81h$MLi@LWpVJ>!R&6 z{|>&}#1hEmn8`f7L41K^z9(AXKAu0mkQp4HcPGsD9o*9PvAo02Q@;~$dpy;=kjTJ= z82$a1ktMO595ENmt(R@|jf`%$^qw8@W(?8*Ps?yk()p$jM8FaWfe`fiN3IAc8}uO` zXWX}rnl?YHB_&>N!WzH!T>|Y^g&yh}_!1KylsH`=0x=~Pn3;Q@(MhwmD~9cEPYQqo zvwkOTnb^H&O$?84#;TpV04J>6g6cy?g9imXTQ^kPjik|Pq5SjrcN&oUr_6;x%2OK- zE@mN-WCOhHrzM-1f&h7fr|nXGwsM@V_ElvVYw8)5kkry;5`E0{lFYe1ehb$lecj zJ54w2=6lSVd$;ySP($8;vqbvNZfeXh@bv)Dl^_GUva(G&kE3~t-|1KB8l*spy?Q}L zC1yOzhUlD}A>L!zXb#!NPQ|QL?0xK*EALM11HZF4my!JP8dUKH*M7h`Lv87+IXL&L zed}Orl{G}!%RWC*_xKM7JsbP1I!guOToyzWAM*Y(n5BX09dd9@LQ-Zo7Z(`4oG)!D zn1^k981|?*sNQXVGhKp%VEC%Ty;jP91|sEUT=X=#<+>ks0nqEd-{`Jv<>T&yxSA|MeZwi93C@0$*kJC_Hv}aAcqpa@(Y|K&R<}6N zkBu$guN%BB=VKqOM^6?n!DC ztqv<#ZqD!Qf7j>`7#IkD4YAWaQEH2kim;uWBsqbwbIARuI)?e!!1upAwA*@<9VW{J z>l+vzT{+f<$y`k}DX((z9vGP;vIJ0!?oEGt6>S4KdA}{gMxuBOu zLTtPip_}gun}yQ{LGUJIG|N1>qM=LKq=H<~-t8|U&Trcc+fT>U+R;r!^aReH|M zMXHheyUJrT2Jelu(e;&C!CNqz1E&G$&>){|xa8SoBe1z~Vy9;nZPe%dj=dzlOHG)*@Ki+f zeE+!c!MDwn?9b50up<9dbx~P(P)e4x%&R{uu{YtU&tmxQgY@jddoECN9Iv+;&U?Y? z5}^5a(E1Oe)0+{{0G3g?NLc^9st;=+q59rVr;Z)+3FvY+Dl03qX$y#A=6dDqX>_0B zaHCch!UPx!`Yv=eN>g*;_G-%bVRy#y#PX3cD=tGT$>$ieXy3};Nx1hp?i>iUmKP^X z_WkJEQgQCA|2YKh_>XYp@!Lm1NTE@EliiEGNmBIdD?t!L+-2P|9hLSv-O5xsee~F| zd)$wsSBu`+5Odj1owBOA6z&Q}*0D-}$Q+IHrD-*veD}5N6ON{0Jlx`B`-Y)sm$ayc zsDP#d?ga>)me62zY!shEhNVkD!cnGI@XQZS#HzYa9_-?N34fm1dZ*J)C*3dnE5JT| z`b54^fKE#zr-Y|4dI?qMwQc+Ma&yD*{6JBS56w-7K&8FEhAkETjYlAlJ!)T~a?z&i z-i4NDi{nP84}>Gz3kE|qTp=Iiv9|m6?Zfc}JtR8Cq2rgx1H0Y@q(qU8dwspwD3oz;EYHm2Fy7`P&?`V2pcNW`d z*N)R<1Nb;~H`!xK@i8)KO z3R;!P89u74JTzSaFser^=FQ2kvVclHw6f?D;i4au%^K53&sQggfCFIu55W8ubx%J- zubfyM>>Bzw&%GjiG!nO0~MD;P4rdnM2iedZ?0?c1HS+2>)d6td{elK#V+j`6yRxikBF@D4odYWkgjNT#5AsOYNWe1YMo7Cepbkra?*4;S%5Ux+Tx_LT=%$J zSfS1bqLWckvOk1qw~wkyU~|<6T=z5fMYQ-JUXZ`<&Y1<5lf#~$XRa5;XsHz=0Xd$};Z>Bn1`{ho5_DEKsgcOCBOfhaT9$q?Sz zX%DJ$&oSu_-xRV|gn;198AH;;?`%skA``AVLWzT*VfjpjFvPsH(mIM862#@v#6`k+ zg=~Hrp2Ux}DR8cOjjQ42xAP_@AHMzkzwln~{*yF!8i{-y^`m=uRyN`bbbnpGqL5uR z;R@bJ}%AA)b|Fh)WY=UZFnMX!)%{X&3U?o7SOg(nR8Va(x(0VK>5cfoG|E{q_68(mrwwMN{+bv1sn7h>h7&r?MigPE1BXbf_~umG$V%Fq>a|9Xrq^XCfwLL4`@)9 ztVbwY8caKS!pI}Xgge$GR%xk-iLP1n%Q|{`dQj6n(K4Q6YI16dFF+0hM0!dgHM zWRn)y@&vq2I+aT)#aB>W{VD3;Z8(h9AKQT810*sLs zf%vWp4oqJmN4?y61-A$QHir|;BNB&YWqko<;USC9BWh;k7QN)i?G`pHh7b59C<;cZ z#aM4v5}0ECGb2l=u!s*{oj3o%I7x&@eKytvws{)W6Y>ulm<&MYdbpK{mQG>`Zi4MxqFuVci= zh_{TZML=Jke~$O7QEJQ=0%Z(n2v;1j++_1X=-fkC^}t>f$=vin*=(|R$$yWWoKQb=>i%Q_b^avu05N^=k`wo5{jHUya&zmMGmJW8 zFi%A>2ioETcp5U3-NkO|b{{C%b1UFYMkkDw-dr-zx;Qb{{^bY-mC8S-Qdv>%*%P<5 z0}o^s>>d|sqG+8T4kS%p!jdm@Pw(bl;;;YA5ICGslxlSAefu)9K2;7UBOLZ6>+J#Ki z!G5T_yBj|@Lqytz#O4TV?8{m3Fy7cppXH>x&+k#&9j?4+jBJX^4+_;&iqg_>*!z5( zc{>cwC@YDuJFdsPhBs;B1KchkzA5Az9GNy9)BO#cam zbMY|(n#Q$|o%Q?Felq7#O`~S~A14i(h!5XdFMT*NW*st96>|Vb63S`Wtci=+K?Au0 zns8Of8p13Ee~N#fZaqIfPXj1k-SC@($_xH`;+*=+1G)E3Kc>?JT)!R#)E{}rL z`o;dodk46YIej5Y_(bd-ZSv`SZolRZwoO<6_TSvQW-r7Dwg^QNK13OyVb-OtqaW24 zBb2jh_oW7Qc#d6i_nCg|dq!+KAoKJY9YO5Wt{^#@$I!;qn#G>aBmi1|#6EOGo+AKHL7SMdZ{6Tx;Uv zoX9AFl^+-jc=5D`3oU$hd=MM2#+hr_>HTBv1sY>8MOau^ z?0l$mGYaPa3yq?dOGOZtf^Ld~JR3t?Y^>OvM?c0Xu&^uZTCD z)i8d~!2jg}WI9^DcA?>k3*MT^Fo%$l zEs%jtkx~}vjybF;-;A#A{UT0B(diB((&j#8Bf}{CCqNHh_A%d2U*wWD=rAI#ufycS z7!agf`(}j$#}m-MBY4He#py>6aFCVA6i%=+n!IhFS@fAlM{&dr)~Ljig}mL=Vk9(& z|M>rV_UxH!Ilq6Cl9%ZGWn^tl@|Dq^NXlg?q){hkC#`M0*tXzHIyCkz=~A&p%rsAo zH?1vnMfV?QB(sr+H(iJVfihcQhYbl6_wYenaRTJC1**fOq$I?^EZs4)CtXG|Ni9Tt z9qqqe-DbEniMAU#$5JgCfHpX zksgYUxLar8Jd*gH18cXwv8WYOMXRdNW7xnD5cEXr;e-1eCMN3}?L{vCUc8*)Eq_;` znEij?)SJGF4P?#vc8dC!zHKv3aX4(=)$(ZwOO8qNX--LO6}@jqTxol3?fg%Rxh(5U zOx&xQwuG~l<=R$0fJ7L)d3#H7#f`>`p^-$6PtD*GECR4;aAGG8u`E1T^3FzT4iNQ) z&MQ|$Qu)JU;}I7XPEyTnn@|ZZcp~ ze@Z4kAP39A`|dkR03d?jK|0r+puhgh_s(8Z#gWr)#p5il?Dor7<2J zUhI|<$ParUegKi{HVUV9iP0Z=ryS_-fAhDM$?QEV)_UZ@=Ea8a3`JjRt`uv{R|I>u z9Ax=GR`@vUl6=nO+`hec-@cq%w+fEO_1S?&S|^5}?!O5gM-n_CWQ^)$7=`*6 zf3dBi@2ziv_1FFzaXqw3yZ-3m((m-A#ztgk4XT$qqwl}t|M{_+< z`m}!O_S?DfaVX$@2~Wly>v@h}MrJdz#JWWBHHnLhBX~}6Y-aD<5kJRa=)yu&Y>;a7 zwjQCF+S-FGkIbU-TN)aG^X6(gO!zU=QI`lKzVdBDi!hy>jp@g@)U0XIq6(GY#sP27 zd;D4P(oYNDo@yeLdiKm+b+$f?rytp)?G?O1*@u5*Zs0(=;3e^qQ_iwkjfxVt2&F=E z=_dLnI@G=0mBc`#(8$Qh;GQWGOV+1(m1P!gqPhmJ;ZB!D)B z9YzV%N2E%PvFAlNV!G2$-l?su^f>5ltY%3zI6G-YLdv;^?v95;l3f^#zUAsVsnjPHudv_%wf_CYYw~VYT5+^Lgz^Q5m zwiPj~*NszBPQUNoF>aRq;gc-9CX7m&7AFQ6=BZ`QXl^~tA8Ff^)^g`1Lm^=#Zi~Yy zr0YCpfYImkmoNE!YVqlM9FK9t3=I#Xmqq_nR3r$!;hEiknaaCDa;^)&H95?As64-Ah18L64*zNrG6n(82dDHo}m2a9_lZ9^f5RMfZii(PU zIk)^R5Uv7qMk$oLz`^Z{zWkN9w9JgEaAm#aW3>0~4t-Jt0U1xKmt#Oi{b{b^M!8UE zEaEXTWhcog)-0Jdbn;HpvlqgO(cTEUDympq{+@X!_5gh}BC2zb10qPut++YlI4yG` zHMVC_>E82C#RJjiFy93n9l5bThh4RQq@yg(+FeX!2>yBM|& zi*tZ0jz1jr?90#o=x|ts*HZ+x7DVtAR;ckOq2yQkHQ?Edm^#;1XNR)_n&#%__)yqo zsk!*!pcWo-oXeQ*iMV8zEQ5RG=+c=7gw^V})ArOtMpL-j^jA1S8Zicxb` zLT;nY{)!Tcw(&Hj z9TH?SS`1Jh!|Q!a8MT1?dTL+j}%&18m%9u8S;V`853_71XK^89`NPi`a<6lNPthb>Jg$Z0#EG9^~t3ELE&Pz!Lt zYc{}OxOupPmWhtKB7@a|me1JK^zDC}hydy7A-K7f_c)z%cW0uZ0{b;d1L5W(!QXj$ znmd1c$oXS9K6M$q-;lb|k&)bYb*zNf85MBz8_KA#aUqRGq&gT7S+T8_B1J^mMun?0 z>o_89U6Enr=7!sOEr)%WNJ91JR?wDy4TFZzsLouk5|Dg+q4jnpidIv(la*cGy*cD8A z;Ulr)C5N+gsVDGmREN}m9xV;I96B3=Ovq*ii>7Ukysr#-DpuXLs~=vUQz;dkG_N5I z&d*zd$}cilq(7iNgP=^-!8-k%s*4VY#dR%l!j?jAXz;PlmKF_-^vHQv^#F&$(o&b; z;CZ`RY=*K5|fc{L%dMBHG&8W=BpS;L)jm1_B1YW7pW^0daZTDnC5$wP`qd zAJMzW5fgXbGk2J^kYb6zgQoA)8$zNJX4i#afUz1d+cweq5q!_N%FGBIU zM!K@%-M623HHFyJ492xC8tCfkigAdtG2ny~;FOvf+uyBDpu+U?$c>v5xnVu!9W}wl-za*-9Cl72KTz`4zk(Rr&*4Oo&1$6E$K0 zyD%nF$o?MK;U9^OG1?b{+16S7TzF&-ECt*~E>h=^ zC_b>@y2s)8=9|ClxXBfnab>^iT-5fmv>=iA3MkSDGc2h$aA^yPe%Vq;WB?`36^Xp! z9NJPD0;(ii64G0J9UKnqh!Q%azdP>awO#`uwvvfx5x7s#OV!>l6sR@RVN+LoEF>AO zkK8C~_b9bv7!x);gnUxn}VZ24p;;z3>j&7A}@WiKwLsX zCv5Xj!IWEagQ72q0~wSCI}(vKd}Ct+^`u|D2#y)jM-SE{`^{E0@NdKa+C>Ixfq`LL3UK5^vH_U&O?9DWJi?=yO59D0B z7N$!a=c1*f=H%r&LA6%;S}vYu;=&DM)nSHbld0uSv}WJtQ;r)7r|24HlhhdsW4*Yi zMn}KEk^A`f>9fd20jZjmCailAG#q4$A`A-UWONaIYC&G!3qa*-M^5r5!Kz8M4i1}wJ;UpWR-URlgYa*NgW8ig3U|PG z$M^*|^Udk~Bzh|(ZPJRL@?5*aiO_0?PECi10TF<3hBC(HMAeDH3TJ0)d@U;f9XLe- z6wYc{D#OZ@yg9uVmd`245NpeM5nklA(;@uF!xNk61dK!KLd!1?-g{pBlEEQM-vKj4 zG1)8+FjvSUv+tjtpQ|;afkYbd^_~BL@O5vq>iMT@vL=;??n&5p+*6X1MpZ-b1_DkE z3mLNNWYC+vdne=`R6%sZ(G>Zh)3Xb2#p~Cv0c~I)J36|f-MQAx+`Z6z`-V#~Y7cfBE7qkzO9pX?8(~w>;M( zVO;BI7Lo1tTR!1x+@N>|mevw`4^Yk@&P}VMBDwc}F=9goe8`@15M4Q$7;?@e3$#32 z@m1uT>qtcyS)a2r8)x$Jz-;zegD4jpPLV2BLaiC1l;bP148I5EkX}qopbNry*xY~h=O->+yA<>)1iX+0pGsgpI-stBVWFJ!6AS^wCX&o zDaFu6e&*B+_ekW-LX0El>F$m>@B6A^F?cZBNDA#!>^gsooFBkFu;srLDMJH?2nW)V z?h0S+&B3JFf}pZ zfGB8QXh@uIwAuka{;^mh#o+GZvURWY>sTr{L*I4NT z%0GQO$*O)BCfU8V8%#9t@UyURYczN9EnasZtlGOrgx$1hoAW_L>ZICJSr1s;IvUTnov=1DMUxpD2Mw)b~Hms~LcO8X@Zu{|ZZ4 zyIjbD!eB=fzP@Q4Dq?wKRn-%FsnQlnt(j8iZ=&---S@3Rw1&l}`_s2qRLtv5<>9C# z2rI(s!A26bP>FKNzAo#QSGP$L9bViIt0}b)HRKcGlj|6MdN>r0zAa=5$SVHtJ%_U*JZjyO+x`FOT~p;5W(y|$>j>Z;DEp-OycgR0zr z{f#cY!bOEMr%xyNzHRFE5Al+V%{JzYtetVk`)o3HNS%_rTrWzTzrlG`yLb%Iof*5i zkkqNwHEu}c-KhKc^~k?hPKzQw%*}ciNGNq(hcBbFdKuj})ZFgHeej$YNu53XLe?o; z60J!@U4HwfIjJkaBA_;@b$nu?J49pvjs>CH+Ma(p?*00DkJIxEH2V5N;jAz?E^Da3 z7AD`9ui2)>B_#O6ar!jX@tfpU7>_%tv#^`0D3a#RQ@Kk;-w6A*qaquB-Y$blkHS%X z3r=$JQP;g547D4A)DUZZ|31x%Y_)agF=gcrK*;WG#o}gZ%7_qv^FAv9xww$VU{*Ep zlZC@D$3&7rEPW8ljh#vwNYlg$on)tfXN1xBkI#?mDzGNyh=Gz4AJk~$MHqW+FkA}{PG9#>Vm94zlj zSQI(gn&0Du#qz3e+gyfjS7Be?G>)5P%+mBx$@VHbzud$PtIedAFSJB+}v+rHJNI) zSnXluM_EZLD)EKd!{eJt5{k616}cAMv}$@L8JK#pF0a>-{#h97GVhr7+D8Fd()>yK zMF;)aQNQAXMU?9L`Z~%2hMY@Vq>dilvZYK&)aHGd{g7c9wZ*xH2O6vvHq7DJeRmI(@)~vOyP3H4mGfcT|=Hxt#@XswBpPF(jZ_cc906SN`);mhPCDGPb7+&iFUac4R}}Hjj;?wXf$0| zh{{uSaT4t#*IS~qF6J&cHw83jGwC8(>&z>kI-`IG<)7gC`iz7rDwOh6oEs6tECUP# zXJ6km5m5$;foPP8xOH=sIhlGW`Hr2S&x2HEc$dda=F7A|-EFH^oser4t(+^vR|Vjt zo#}48cXQ=Iw@p1>ozPc2RoU*b-=)r{WS^Ae45vH=f+W)1F;#?(d}XEX&Y^vRH^@ZZ zj*bp+fk7Y*<;9H0s8|n+ebLX)P4p5<`%h5DAQ)q7sN|6&NO?@%Ry0WUM9I~Z1VbtO zUnq&``RZrp=jOC$|NM;y{sVZdH{mL)9p{68Qe*M=CsHayDv2WhX@(DO)mdSm)&LS@ zFXd8e2ANFH07I)uSmcG1=(F{OOpvM?*zw1ATYRHAJ|n2UAq% zSA??ms1_BavWImi4mn=9%gr~mFAKTzLysR{jZ)?tV36IhjV^5999`|kOC-Sd6h8~W zCnD^&HZr;)lEbA>^uGXN| zJs+?Vc@jw7!&twcPsI}gk=`3+eN8ADszz=WfJlu~h6jv|NiXDBfS1-Jb+J#DrQC=4 zjApWp@e?%XVt+Zv+i`$}lF4AI<3%rz_nAK0qiyr4@9NSR0$NK%%Xvw|(M81}%in&2 z9(p81=C#)K`sOIL(8Nq!la%Q+oLQnwy^?zq4sx@c7`3*T@fdo6p+Hs1fKUw}mW-YG z46drA7Xel$nzx7RBL>*IP|$b2nR@(^N!g91A<@*GrfLQ$ZU?}y?uZ!esm5qTc38^t9{nyqqL)&)u<)H(bge;CT{bvPjpZ0otXxo6L+QWb43T(|&9a$pB<)ynfuYl{%tlP5B19(?#lh#g#Sj}-fG zfNa)`)7*w|ofYRgX1XZX+G-T}qwSYxl0J(^BE{KBLn z%D!?Y%5F_*UrgU^FaqqQqMCF6z2hlEHLCTD*Co6wY2!a>`H<$`P*FX85W>9`a3jZ- zAiUUm#o`={EN`VL2kSUu0NWyR$NSAq+wxR>p>e!!YcuEn-d|Y}Ga-uL<$z|L57l+~ zKpOK=^%s;rWjC}6b1$k~7&63%V*$pZqIx?zXsvCBsm(hdCizVGfUtes&cskiSJE-w}6h|2@TyHPkhSrD>&m$!Yy=g2}HOrFD9Sxu`#GR zB#SVMzDpyI7p_Z@LfTr1$+Da+pSpLRT5WXa@uw@@OtKcO>PplM_^|cQjz6}+et zlF9{Jm?NG&Z=f1tHfTUSh1(hraA_c(<|?cNGKBhVa%#%&;>A*jrl#Gvt;rEYn4Cj$ z0dJhNG`*Z-C=07lt=mn-+LFFw>Rx<0=OjHiq>9`u$%Pf~ZES6AeSFw3B5^l0O`mZm z2C4fMnTg@XId#WC=muaT0De_f@vlWKlM4z93n5F?EB^c}3zDrz_KoJcf;)R9U*G@F zd`s4}sUE5ObBUDTcctMI@+QY}OsDVvfw-*qAxUiPh-amPEw5rfDY*8B>a@>KL* z15}w=Sr|g$D-&Wf?4zz=Tnp3v?)ro1`hudZ!nA>o7_f7*uTLF&9f*N3@$#=%`vyCI zK_K@V)2#tmXAhI6d>77nRxHTd#1E^x>zX(&{dvaBFn~2 z;|{!*)AI}tP0%!x$JonwdxX!ViP0qV)9C&drl#OV0L%dH2eI^R!5d_<1(y2MsVy1* zN!@w+1IeZs`r{mdlV`%i)7c6#l9D6y^E&>s<)|UJ;^?SC+-1pVgQTR&k5C!F#pI?r z!x*C>s4G_47ea!MeL|>{m>T_OrRU@0YF~a-yUXs0>BBT{DXjCKS~pCPoqdXU$wrmd z$iRVC+io$y%*9x9z9QL#9D~`rO|<%!xus<|_1!V4+e-Vd*>Bvy-lH`!`k2N%YgzO1 z3*xpGe~J+7*?mNB6fV2i_=|MBNlC@1VRVYK^;F1le>4_6zB1;ZGHVE;LFb7`S-C$msIk&gRUPO1x#t%w0bG?MO z8{~95vQ)e_lu%5&qEb>vC>7z1{5Ntqn4$Bphqh8>MO_5=3Q9LT@89#UMfFJPI61*V zw$FcqpRf23EtreOixF%<2W)PBU%@B&6&9qN>l;Q}cDg4jxd{H_Fkv~zC z@5L+&Wd%{hRfXa2g*<)4mQX6Qdx{OD+^-TX@8X(#_8c>CnNYg%T^sb7jW&I>T$qP< zdBbS8z$6aff3$DXHkCj9r;dRGC&rZ?}clmN*B{^uO;j*gmaPSNq<1CFqzcvdptA*=)>d^LeOk&Dfv*7KblEDa6|KY zn#|inG3Np^i9|1!Yl+(YATiu|I%O49+1$L#YU9!A%Y?pE9!ByK$07zS_{SP3sNmhz z(heeY6%KnqjN!lOB1O?F3BO%j^8gO_wtH`USwi^>IX7W1pIhzRDtay~{fxV>ot+(u zTG#4#EQ^LRUsB<+k0^!h1hGM1U*F_g_btuMQJ^jAV`4D4#6NJ3b-(85%a?YD*6U4T zC4dI=!YlEdr*R*;zk$A={?|jKh@xJt06Y!u(l1yM@A9z8TcKbzB{Bj^Z;(AOnXd9utC_C|72@Vd%wQh9_Eqz7?UU%R? zyZ9Q9bG9w~d3PrP<=0s|I|6GsN@pDJ&=Dpz>FEG_l;l*SN9S%P2A0Q!)zg!Uv3xHS zPu%U$x^Ur0?a6>-0a_|he=(|OB|t%2SQsHav|}MNZcp6FT25Hurc+tro4NNX?e-w&Vquu488m-*gn_MV>yA_)T*>1rt0AsYV=@*Ll` zGpmJ_)V-3Jm&3nNogRa)eae9;(=2;@%I{H}BSoouR=@PVJ8t#lr+xhl7zUO-aC}8u zs=2w^YyaL^y0xK!rdpB-^BR!0ibVa&qM}(iyEk|pM6Lwfwzjkcj)Ckq!hqIphtxSr zzy8Lfj|@u%(k&K;nYk?|2gJY7?b^|F5~xeQgqs8VRUsqR;I;=hJ~q}Qfc2socb03t1EQjfRZw99ug6UAVcZ=CI8_PUtdL|nq1Pc8tE@s# z65|+cYV}jAy`74!_2E$a8X@A(gI^U0G z>=)0Rt43zDv+?xXZRJ=*=n!+t^t@eY`#RdURht)jGe30=M-U(vokD z7-Q@8U+_<_ouu;CCOdK8vh?iE(ZBV&=g568zZk3PVxwb1Y+B!HLn=Zq2Q?ME&x;A> zy4fl^!=f}?Jm%soViF|ohpQcIQp`o*tebcyR<9U*Ft9?nSz_`_e!XEEE<=gF|M{|! z==J<}>l>^DtXf&DUwogPR}P;mn;EFHYpD$iJwy6D0}KYrqCdpXm{e$z?*Uy&178WK za&U^ZwULWzdwZHX0@6;Q8zxWe%`d1=^_-svF%d)!m^W%RojJ@E2fmz*!*O}}ndi@| zzei7=%4q$zDygi@T<@?4Q{V;@XoWyQ&doo}WQ0m(wx$kaF(C3zDIrCW)@xkv6>7ed z|A?z!Q!}~X<^)5T$}mGl-N331i9>qFM$E_p|2Z$Hqsm`%1Yd0gO~lIxJ1d-;YLF3t zhQqqM7z!Hy+X*M{pi#*gF5k=S&E4GI4uqt<$Vq)6)txeH2>3B>S$xF@*Q%;IRaxQEFPrskBe>8o>cNHsAJ8I?#OOO+^wOm6RlCgk>Ql`h{h4}8Bu39| zX*UsgapRsZ7iVO&sNzoMD-Dp9r1M`ld^5gwP0z zPh|iS4F(1PW8u^S^e8Gy&j%HSl9GF^86hvxTuUYOu%cpl)gxGWhEtnVmCT{B=#^Ak z4L-Vc{&T}KDwfmxB5gH@&*p)qn2*-{C*zY1jg9ycdDR`icpc=U(VZ; zlKTE89Z_Z=x>YnO?80+UV!gcdH)yZoX3WgU$Q#fiUETUxA^XXyujmzD12$WU(B2ok z0@T!9Z>x%mPR4{BSc#7cJl;&PQb`~1xAy#})lnIoqerU-Gy)Ds6efWB=!3TnpX6?3aqIEhZ)0hG$duzmWXsubGv zMFo9~OZ8G;vx2V`LZRje6nAK7NTA^*KP&+eR+FS*@8Cdd74m|jES9dwo!Pz7FmI!C zAZz*%SdIe!ty*835HGJ_?3Gj+UROHQ$^25&4px-DmEvw^EOHzBgu)WVcY~>r;ciG& ztxI9vDy4E!2wf)2W!4?fM%ysf?$wveCsz-j$Oh}dWOTrlYLop`CmZgDc zsq!iwEc@I;tF<230l$6d3m1e*#%fAvKd7hz5&*cJXr ze!DR{YcAg8V#G>FH6o5wsR<8<`DVIhfaSg6uK*+V#)I3xK^(Uq`(Jx5ddxTTY1VOBZmqtMaNfLO_X;p2XH zEo~ZMc9}99Sx+X2vVq7{J3V{q_>yNvR#sSZEpC`pS}?(G#;ZK(SNum0YF3XC6oqiy z?kp{xd^`NuQa6Xy4b<$vk{NdX+DG@QiJh}h#nSoyTRPNAIATD{1ixhu4-Y#Hjy^I~ z2>%lOk%4lW11H((3c}QtmxrwHF`bclU&TPp%nbP%I7{3tN2R4pI`}=1s!preffLG` ziCWFz)~#EXW@aj2wStXBA0-TGuq0=!8vojXe^WXzssuF~wbhH8PY~(7Kc`B}ikRjd zPBoE@wB_uu>U`gPce0W8GNarJ_zIn^#oWJ9k|`|PJltYr4wg8=ihc*mDZH*270r2{ zt*Og*$zk_#vpkrRaSalkC9 zsAJ9VOETetYcbG?Q5H4RC{h+(qB4E5@L9a@<-n7Wl-E2F1YV_K%rk1r%Rk_hS-T0Y zI?g>1rwkp|O1L9!zpu<-OjLcQEt0j>chwwb2P-QA0{g}n7L<=4Phdqe0}tgylO!EE zZn|$hu8lxl8q?RWpnrkSc0a+Jd+OOUy`Jmh25kG2G^DxulK9(Q1k}t^R>|P=^492#Cpx%Ex%rB%@xSSb=+GJAp3D*1;hnyxE6w+Pw*v5fCa3f$Ny9dqc$p)tu2~ z%9f}5FnqN*$<_z1S2zYwMh+AdvZT_=N|TOc6PBjxsr?{=(LMxTDU^Y5>Xb^1IV!3#gXE(7ntIACJm1{y-8Ve5Or zB-U`)wgw-2J~eeJG}cx&OL_0M3=dI(ls}dD;Dji!CtrWv%gzvi&q{v)et6)UY%P?) zSB$}w6M)sXo0@a>v|b-gR`#Wv#_)d>w2CN>!+=Cq5pXbv={m@W(aS#?xg~4(?WJSZNSTcwS~#Mg_LOs#0bP0fJ8j-FTiS)6_u*L~9(l#@ z0Cggh(j|=_SI^eE-gu-UQnf-W>rF=`o2O zRubue@wX^CtFi*7FiCg-oQ9XR>s6;*`~`(hP zsIWUt+`ox$(p<8p`Jp-EJX0+RTwm%`+>Ie_jC{j#_?@^c(o9&B2BIe~5xru8PZ(d( z{)F|*eSb@c%=@*r{U$eU$CGDnpr}*JeWaDA zf7QgrXDXmsiX!8BzL4e){{7d&ij~j(!CR*_ae_QQd;H`HLugGy!`E`_-vg_@pD?be z{O;6Y1#7jZz!fl{<-?uDUl4!-JLB!fSTV>1i{ApVJ^cKdqd!pgyIWvhi}L(n6Rf-d$#r_Y>Jk={Zg@7(IPgLw4GF!#SuH>CY~=euz(S#z)z2Q4zUId7bXgwv07Af zNhYj>e+9XJO3KAE7I{AdiQ{J;O#(0n-L=#>y5vnP)G`pSlPR{>OpI}A;ZqrtW~9gy z9+)VO&o=c6Nk-cC@AkcBPY~oI-tp7Mb!s+#(4LEvd)}nsbYJTGNY7tF1viG@@_B`O zt-|^Z4$63iQS6sh6xY^%#tiqK&+;fP4WZrGOxRy!n^4$g#qrVujZw&s53fn?YGVI| zby{Vor{T4D>)WO|yu2pDf_g;S?cM>&l2*5S&2GWPCgF_hRL??PWrf zx+T^6D#$x6ZomURKip?}nR22V6Q=gKGItGi1EvT9Js+B@C&zgBaK7?RkCoKbMbI%) zbw`{Ru-vnz_D1fb=M4eedv@cU62d8Q8()i$$AL{j*mcM%T%i;!SUlKXP!E@mraoH# z1(Fv?kxNfR(ZRq;ROC(W8HuTmo&L&ZyGvkG5Ni z^f|k86U4pcg$TXkFvg4P%aS7HtSrOpUk1T{ai65R0u#yrBStp)P-qv#np{GTYmPh> zPVpd2q%cq4s|clctFa+98H>1_A$6yP;P|rWa;%5{OlXv{`~bu7x^G*DzEFunBc>y8 zP!i+7nO|zGb;l^ncuUhG3{{MlR)Bxm-(WA8aj{u*bKpEVhC$ueMAqZIug>HX z#{Mm+R48Q#yq&d>ZNZC>)l)RPsXx8^oxUVhI4 zoE#j~Q~MSV@F@7uyPidFxQm0s*pg{vVS#xWwISo#mT_89(eV2mEw+Vud8*%3C?l_i z#M(B`O{AJ&960 z+Ct%s3L66oX=xwu!r`2!!V7038FK~QJblko5Ezj;{cA#es&rRV7j6IJqCL%xy7GOM zy&G8Ua@YIp@VD&x`!JTte_8^x!o?*-oZT$nuqoDDP_!j2KHU6-{2B>jig5dFA33HQ zkcGA5!8P~Y?aIc=wn&+A7ibPvu83xMO-ZfZ#%j>0o99j!X^Wm6Bc7F&6*45T8E;Drp(MG=9%kq_VS1;U(Qq#ZyF+42wh=BLz~W5F#afZF82RrwsXwd94-C+gNbfz-1x1OufeiNa@5{%>u|~_~GGKRRd6hBA;I^=P^*%0%tF{s;H{OCu2cy;@#~+5t0ypJ%*g*Fh^FGQ%RkLC7GNCMRYuW)Hst_yfo)DVOdo#@=7k*IgcNDNxit`4f0%uH&- zedgQ5v4$n_;L`;70b}h?U``$T zJv%xI+kz|WSr?h>Tq1Ob%B89L3;JEI>KSb8!|PtXsH^s@IF(cwR!TBai&y^GZYjj}+MLnynwcBP(o(HC z9I`-2s~S|8D z`?Wqxmw`mf&GHbqI@;1D@7MO)2&sJW6H1-`6@ZTQyUph`6ZvGeu&9rVREnl*Nm|u4 zHKmnICOS(qoQpT-=$unyQ+JM?3>46OA}twwZRSmcR$r>g)g%ib73ho!lq_KB64i7o zPpYTzungAWAb^1qE*)}r_7a^cgsYIhRs27VPX zW)~g?9I(FeYkb^THjDN&eIqfH%p~(|1BFEWj)C`gin1xi#8)-o2jjOpZ&;09sIoFh zA|2ye|IErE$MW)WBZtGdanU&!2!?|@1`yn}vF!593XRB7W~N7x8Mr944o1R#Q)w^o z#63cy#>5!|mG8UT=6ij2`8C+rlURLTv_W6_$lYAUIgdx2EuTW0TJFJux#Z(Z;xiqP}jeyd8v$acW*?O^vtg3SbV}}s-h}fkq325g@Lmk6<$tEYf_?n>sGLOc#u-=4H#Gz z+3EMQ&fS}toP-w$W&1-ToGFkJeDc2ggwp)u{nyCZ3)QQGSW>uZ&U_+#Z&t|%7TaQe?29x(;6$*{bOwyHi= zd%7(?c-I(yYQgllygpUEOVA|-79%J)f=DeB^I!aW#yaZ_%wGJ2>||+Yp2q0<`?gww zF`tD1Ro!j%fCl-0yl%^CMY;D{(SQG^1t`Zo(XXNrc3J4KIztuoXCI2ii;s=V5GW0l zAoPwxS$M^jt{CjUBx=;gs53ai$QG(h%ec;>&`{??=%~!*MP5Cd&mzCWuRpx*N1%M81kB*(6bhn*a4TUC?}tIj zWH}5pd(vT--61rA%21wjR2&$CCD>BpIDwCs5DQ9zA?^{{^Mp(H4=zb z46FP0(;;yKuBFP#>v>m^UIL%wCY$olw~zCK;=?!bJ_uP@h|WJ2p?m7~VR0`+Ha6_c zjeshG8`gQ;aZBP*7Jr=2!($8EibHO;!J$xBK&EeOw`rhpfSowD7&gvMY>=NYbi3hm zkCWR@Tqpnb{{VcP@_oBnmp(bK_i6(w)+-pqThD_c53=0WhjeIpP~@$Al|)jes4xJ- zWIu9jp9x(od%TTdD!2HtX#S;GFvbs4+COnY(xiIKCief+9RjQ8-LeC%Qsdm3`n&iF z0r)=)_qo44Bc~%HUXsj}@7xMB z*whhs>VXgos80oqsP>XQ5R3`OJ;6s7+tx-Ey}GhAM`YhJq$~4Umi9u(&u&he2Bj2n z_u>f%G&GxgpetNmR{ZXXf+ck6V0hVz%vES0jBEs|%-&ASHw+-U1#ZQ-)N@SIi+Bl? zme8&YAyeFty>6Aau>iazC)K|$5`tv6W8~h)jsqRLck#TKubJX_oEe(2PP8>h8A6bI z)z>w)i`J&eAF7mK&g`5bUl8-IP3d_~9H?lCNVGqve5K?^z$^T+a)%~$Co1Xo4?(o?x=G&pW`hE(#(7kh<**Ci% zl|N^{Hzv@HwvCk+9X#t?62Eg8tLy%~V#4uHvjErP>H9JV}D_aEK zs&(zH#17O;q{v=6N(xctb^Y=A6-Ha5-z+x44X${YF?+TD`FmkLI&&uZnZr7a)ajYm z>2_W13KZMeC?PDJ4=JPZhPHX!5Rcq#U+xWfv|sHNlHV3@g9bTydHMZjl@f}I;tbE=6qVqFR@M^g zuIN#EICxQ<8cw8sF{C#&H4#yz2&ZYe!N?Leinu47$gm^a1q8RYx@@>Z4q^nK<I#G`4@~cMM2)$ir z+pr{V_Y5KOpDUZU@Y7|_?#rYyW{D0(axCewX^>1Ty?ad3=?yp}A~7tcm3{lX@qmU{ zaoyiX-QAZf9Q{)6`E8Ck(kvnd9Mh6_Lq?0%@A?YGQz9akXLm(4YnGZIYS^|^mYYRH zK`JQYjBCuclAntvbM59#LLy&(#@REud6Uy___+$h+px3SI_Sqb~CdA$RN?uo4 zUH8m7{hf(Q8IJKpJUisCn8X1>`6AQ{;msBUT}u9oT}Dbj?nL2pVF+sP>Ovm8_TQPc zRhQ8C2+~%%VWJV^&s5Iz~|_|MA#3>!)i0OVTY z>+BpHpk3skgE$+$Va);_T|7;~J!uv5Bv}(>w6*t5LS->fKsM(JK~Vk*KbZbcjqy??sA*YQ!9Lkr~O^SRo-Eu(YzllJ!hM%Th{Ve%WG zd~1sqYl}!oh5rOG5r~o7mb&yD392oX&sqkv-Q{@bt}|NaLW28E`u>d;;aJ87YJP`Z zK9UqbcuY=CPER|5Y_qeg|Ks~_+M|`cX?hi&ngtHs88MsY`cqn_XnF8O_sEwjwWpzPuKh+XkfA) zUzWY0C?D&=7N`V)+yH#wx}`b<5@dZK{%9B%n8F&{i|GS7R>QcP3pRIw#y1MJf3%ip z5co4+=leKi&W0_;;Us!G|5lz*W3BxuTKf}e(-h6`ixLAOhI3Y=IL{vu zLLb*wf2}PwD;1h;FYTXJyg2e4by%~r#k>qmOiV;3{m_slOq6GT>#L9mMJHw?7jJJa zKKJ2gp@^%OkVq?*oq!JMpK3)jOAl@p!=^VWIPPlxGic>LbhlL{7Ly+wz_Av}CC0$X zL)M!)SM=ML3D*Q*QG;fy(cU=T$<9uvGW?N_kf^ArWxsav=?PbvN4z5g3U#ZCMM|r4 zQH|>72%PXQAvLjB{c#tu?rq*zug)yBfgc!+Qc{$X3bCjn9J^n;*NFcUptLVPeVH1b zql4D)p^dR~ncmb6E_ghNfBT1vF1+lr%66b@b!^bwRG&sq(zxg(&!qYixblA7_k8DT zm~GCL@5tB_VvZ!${XWA?G7fcA>Q=_kk6shWNMK*{#QS*F+grG7;Z(q~?q}pdSC&`X z1oyI4R@47iF}diC(W2m>Y2=2uJBI5#W7|{W+|s+h4*z;;PtLhkY*J7hBk;zaK8fx7 ztnd>tHP7qjo9aW@`QXob-uNGqDbm{ft8M#f_{xR}h-{ z&8><~1xq*HucF$YTr3o}fYD0S-0>jgijSY+8RSu*a@jt{7mHqns1)<<)BToS84~}P zK&BwT>NAi2WZxXh&?p;MKz4`F9sMjT7_CvwJvl(_bzEFrWZaK?9XX3?_gm(DE?p{( zrb1;Hu1@n67ETB*D*DgR508%{E7J4FtG$^WlWGtwAn^{<`5G1oD30+qAjGm+II8%qra^4Wdxo~ab>lFgsY5C8l?G}#C&a03Px861Po`N^2|0Mg1 z%f$7i^mhS=Kh(`6)mPR(0RHxX6(1T(lYDo$Q38~Cxk&-!JYZ zIopePa#+kS!+pksyAuE`6MOR z%!1948Ke79+B?}0`OAfP{Z_c(lQRyop^$Sr1G5yaX$ji=yT0nt?nJ8@jn|ks-CHcy z^6LJGT(i>4ecy)eoz1JivrgRQjX`6;+OIsRn{`V!>H_|@;nWc>p6v=K53Dt(Q>nxa zfDp{|2lEllqh2H7dqMu+6qNV<^Y~d)087|8h%tkBuV=_8DCGOZ={q@zDfI2Rb6xll zS>{Y$ORyKnE!D?={&I~^Q6^&|gV;3UFXKN20lYK3d5|y} z7Ru|8H3ehP4$`(o6@5VWeMn|7#U5-^2qyh$VD&4WTbsq1x+eq_%xuc$`K}^Ac0Pnk zwvGr200(#8;yOLdW~w3Uzq)d_ZpFs)DiM$s64*}x2#N~^!gs7Ac+Xz${raR7;^?lg zi#Q_k^YclDBDJ)=w%5fqx1QYRgOr()d>U>gzZHbRs%V8yvf~*82bN60GJ?PBP6l%@ zSFSRyI|Nt8`gc?)m+U>c)56@GYz_s(SzZr;TaTtFDiuF&R+*iyK762hkmV}lyA46Z z**9xW^+T)>|53KHUgGQJLNsPV%86SC z|A0~bCLHFZJNqdtVjJ!RJ_yM%3eYUe;o#HPKPSaiad2B4yg?XV>g8u@f=P0iKpttI zId^Up#KW9LCC}_idH=M-4Kgq*Q`7%cUw&PTzw*z=u+x8K4y7!|v5ykUdkd6aV(8<(Eo~zhTs6{G|o-8{r+eg-*ixzc)_d5aIh`s5}TfF)^`~g-kZU`F~_X zE49UFOmzSL#;`k9_XxLUQc%Nxo5ej|It%?|gJ$+0*r#H%Tc*p!tkJaT{*kNFsci?D z=hInz?Yb&>N0k&6BORJQ&=+PPP%{57*~n-+x8qto%V?kQ5fXD^wun0;p}2->SVyh6 zrltmDs4IO)$w9;0_cIK3D72Xt5P3-8jG>gpS%vHuxXnx{B$JW3B>>?Vz~3YtCaxVt zMTBM}bg(uh4yS-OqA|JG-^@EhKkzP&xg&19b}dfKylit~yK8wCw<}LD{BNhy-)*b@ zY%%|cIyIIvi^GnU;wpnSj=M-va}T-2f=X*2B=jID?B0UBl2Xx`VJ)x6TQlz7Mc%eX zq1N}!hd0^93&v4!>>u0)Ku+YN^z*GhQk-E<{-4c!E68amahdBpKE{L^HgBb z{`LL)cgcb)`V!2YAfnpaUBA4~B|xAjo^vBBD=Tm%be}ojiwIBRj`3T}v*06=&pu%& z!~UaupkmWCE0$e~E8|H(lE6H}gT?&CkQvU<`QI2c5EbXgz2oC%;WayqtG5U6>x^IJ zGK9Qq&1J5_;Sl{Kh+h+Lw&z}OK50Gs&qO~!4qR08@WwDQyN%-LbGPZfLm{{Or=9KW zj2FdxVj!n{(KmAzWik7G;Cq31*JQci#`gWsRH~e(uy%s9=WYhanDk~GC}7o_7XaBm zTPQ9K1*dWHh0NwaD0)vicx@oCz<^CM@G{3r4ayae3>@h*`-!zlR~)5Q*V1tuR8@Hmy7*#^#mWTvW!-XhooQs#M;?wFW5{-|!6Sr(iC%?a zLokspj4&`7C#kp>c2bI~OQXasF7-WG!RrTLV*}AqN67@l9bduC>L`76tR)UrOct+l z3;?;`7vCE0e)+QS3a8FoE_b+k+6A@WJr|vw#S>2M4uRP4N$MCQpC-sP)BkC8`k}nK zSF9__(Ksw|+8WAn_#i|M4PCDNekj0VU@2ZvMyB%nS40foyr`aIJz*qTTSi3Ts zUS%B-o^I!RLR%1@AcDg(qZFTfufQG6{_?r+pU%{et9oS&PuUyqLdwmqvBkLwZSQ12gsfYLCbOBEY7=pxLCwHKL zzmKt_m44@riomlE7!54}8b2fJnXop_svTRbRanRu@~MmCpHf5L7fOEgL)ww7kEkZN z8q5W@EB7)(;^Ij6cGYqA9-yHo{cF-Yqt>QUSEu~{cKaV-o*$g?Gb+eUWNt(gSM%uH zeFd+rUwq;8gBZvkY2frGjLaJv&qW=%43rGuKSVM33GsQA3?aIUD8UPEaF;{s+XrZ6 zUwds)Bud`Iw3j&mkx6`s|4k%o>TtN0&+uzgvk~{$T%&X^=E|GhSq)Y?`{$6QMy0j_0r*7 zQ>eWd8#}{6;t&Sdk zI=4BbeM0e96(o)>S6lNpyiGZB!&$%`hCGrg4vLBjqY^e&@neR*?(8cs4J9@+PwZe% zd1Yq)?eg-oXE;zb`M0Xat&BF|p+UEuSIt?FhL=?o$%Uh8^*>a=v~X0ipX_|c`?T(r zykr@}$E}b0OF^(Itg@vjQsK>3RQ%Y{F^7XuwZFHw^gObY3O{oRT?s*!;jQ{k-NVO6 z1`Pf7-fgYLwCexsia!+d$bPwj^##rtw^9EeEh0tv-dQ#D?ttim(XIz>7K!V^3_;yr zZ#9pyDlVnbc(b<6M=AVZcqt1XH?Cje7bQm^ip3)71A!|bIz$FlndQAcA%YnVdxZqa zF-%AVi{5U6=@w`+6=K6zaM)P0b4f2(N?x8xH}`Z7G!S~(#t>=2in5zS6}LX&1{=v$ z6LdZCX(`*+sA2(Mu)5z#bzUg2LF`WdG>#_!8oWri)?OhFz4}WWA>J6Q+ZT}`6v3`_ zrr~`0*2TK7EyA1%myfQV%{7Q-g8gHCIjN!(xrsk^oHcMre~9o59K_a=DvCnzXb-3s zQjxk{3FXa^hoT4odVDgXTI=}*$D%Sb#qv)Iy= zXEgKW=4VN~MW;FM&&jI(#RBs4!c5EacY*!eefB3MgW@9=ZM?1kLopDw@%D zKGYq@89MxDgLmb7kFl=JvL5z-Q4Ra4vOc}8(f)N;jVGD)uZo#&{AivsVYn+}aji#w zo_F8d`PI6?BS$(fSyancmzpur1l|r&-b%xFT9Y^AruYf!=*!Ep5ue>2ZCx8SFtf?o znseVR`cGAh;YCByy}1#i&+piriKpXq->qyHOvjK;d--nd_|uuGswe*b3QeXlgEo}Q zAMuX*D*5Zsnt1&Bwy>~V)Aq|N#pQ;bIwi1y_V{8-oP8N%##_KLet#A&EFBXrwA-BM zlJR=O>5U`%$ zntGN$Bf|o$kU7;l+-)zy7aLJh_R)XsFBEdRY*9S&<-W_8JrX@J`!9Yl)lN~^7ctVj z%fH5{U%HDUys%IlV`obXik3K3>u+89D=Z=cTK0Ai7FWFjqipjcbXqj>i`&KOPJ9TG zXZ%tH6-D%yP}eJOcq%vA`lNK*AG#;2*nI2>za}x>`!6-_8lU%yw;@*jRS0U5Tc>>m zcx)J_-20|4ALiPu5yyV-fws=oq%-7%v9t9CJJy)Yj7vYzXy_Srnb=t{W!2W7V)*^k zzAVBp-n%w(<|97pUt-M{c}pOsKyu|wk3*2-b)Z=bsEDY;Nx_gVa3X$XUTJN9_3v`g zAO9)sV+qgPDWJtZyUFHtndBO9q*0$;yssF`ZuUJmXUu)~>6~plliGO;_d!}C#P-NQ z7@C(iD$kQ|aHzU#c*IUw#;~Wh<&1k3MToY}CcDXS^Au>-zidD4Vyu#wupyi3dt}4% z7?dX%Hb-BEM2I8?;e6-~sC7op7Ed3W<#cK*S8D6n>Pp+%ic#GkcGXFoD8$RAaK!~0 zRM(N`o7mkWKYsj3^fpX(WJ<_Q^^}~0L)IJ>knglz<87>ZXs(N3OaD}IE==y)Pbh19 zsW$jnGK9=4U56jVi9Ud=2ciX&f`|+xwaUBK&kbCV;+nNNko3kreiC7yoG%@ulMHWA z9LoB7dN@6~aCg^zDmp!T2dM2U{%^N8ZwN-3-@+ZL);j&0=Y3MnX(v`GyaUI(bj!tO zG?-OUnPK`<-C8rC#kgzo6~}AMjT)Y(ycd&GqSzeGzPWUa;T3g2LCsOzn6UIui0HVi7P?{I0eY@D`9V0xhH9zwdgwpF7fCud?K zqA0Khs)d!OCs?z;H^_ZN9Sd);w3FgWvwwV`v-u)-&D>A(qhDRQH=gkCZ+b)?^4gg_ z2+?&x*)?RHB1a&wi_wrguG${E0qOCvY-gI@noU>f&9 zmh)N_P-c7pyd<2Fm>fRBt^PiDef2zOWQ&ft+wmf?NM%uQlwU49J({V@`~qDB-g(_TT*FOSpMI@g>9||V5bll z-Ewq$%7h(D)WY!a@N|C#;to+!^LJ!>9WcloRihj4B}?{3zYq}0d(F@&f%lH<)-};q zne(?SEbBP*w;j#Y)xTE3=1Y5J|8q|KZh4|8@A>o)c~9}IDHA0vs)v4vsPL;FV<4=| z%Q)CusNXDBnk-fTlaqTHPnW(H%1g`kVJze`+(_uJyX?zuz1zc5D0haUa`$Vc{FC$a zdfgOHx%%;kk0ln6rILEP*?6{RR9xrR)LF}EI9rL3CEDdbT3Ixic?%t-G*z)b z3+1Q3Py&OljmPL+)Cg`L*fu6yAN{Yxv!yOaFBkngdqN8BoqvP%;gP@W2+t|OWguX7 z+TqQtD)T=v$#Y!Ro`?XHSTj+CQw;A2A;wqTeMbh=8=$Z6Hb$ulrz4FZmVqy<)#-!5DA&zQhCF3xUe({2G}XD+wk=%_dIdA{qzbX}6PN;g*pYQ)*E2!?cc- zu9Q1nFZbKWTKTQv-v+CH!TO^$)5~_KBy79-m&mwyLtDDXP}4${gq#!T3jQoF`zoe3 zkFMXZ!yN=@6~>#kiEZKP5}Y-Vdm`2m9%yV2(8K_eV@S4znhRMUoSep0 zZetl5H)_oHKj(8T%I=&3Fi}!cg8dT|+0GXyzSK)4$rOZ5{v$~`Q&-}*L@w-fV^#@PivEQT67OX%D zS9f=e1!9r z0m<@L@Lp#Est)3vRZv0+55z7nKMFVFFO0(4^zYxDRY=Ir$Evsp0qZ^%Q!n z10E1;>lepVl&lEJVX6Of+#tY;bJF{oq=?7qJ`U8JNL}oAl`=%RjR1SW4`m88=N~n>?(D-^Y3er*Y(A% zD%(LUh<9l7rq4x}s>~F2vJz0VJ6y$fcEEP6(J#Pp!={v?%O)@PNqvf;-aZRvJzOY= zJOwTaM~Ti;#w!(D)}Q;#$$$R6MJ&Qd~|rna^-Z+3S^u$k<`DynGSfS)>tf}^qnRDkynApE5A*-c5N ze=oT0DRTRmOH6}hyTPuWGDHmLbN!j51a9Y=qv)1St!eE=>fNPF*I_g-SIY^+$9`?| ze@|D&_SeC=LO|rJ%XMqZIBmu5w*DJ3K;3ciE&QGFuj_UGOT6vG?!_0f`e|+1pD0jQ zoy2UQB%sN~$qC>9K~>3fZ1}4q@T=5J&BbMgSif+jBlv4m5ZdhsGHdgH(gUD;T8@}I zN%unpMFcF+{sJ_G`g)l5A{5&2K9Wd$xy~BS>n#|0QU!dvBMYvgB>XG$<^WVq;ufSn&B({mE%{7;-Y5=m+>~t$+y%@+S(CSwq@UAodew!Dpt}pe>NU zT_=V^Z2?pmYG8On;>AoaXOU{F ztN*ioFG?yDhExEwfoN+q|Go)2=~2z$(4(>JJP(s}^seE()JjhBdfY!fn{Fw>GCef^ zTM<`tu}PqtT+26io$DXvhFv-T7l&h1T{O1FtEnd#qrxDY{5CRD+;vKLn!-naJcYYC zci*f*o?$z0QJ;`nb5PlKps9s#362YYqWj1eJYn%CnwO!=o_+k{5frodFBeUBan~womEJlW?;kE>mImSH>f5!$;{WqJJl= zj#6800^gV1w2CqZU80Io__EUlX@>@7xqeFt%Q*ViCUV~WnjNAFZSu*dJ$D-lv+Gb0 z4b4FVr8#s^VU41#a^js;QypHN-q;dxAcqyYuk82#-AWW-#y;`BbznQF7i$Sl-deo^ zvY|eCQc7Y3)SzlQ#8_!ZbJPMiS{9Hy)52@JzlQ#|!EG`&@7+bdKQ*{*bvk>yy0Xfm zlacn;YIiJ(M(vcXrAcW?!p6ielnXa}|Hi%TcdQJ0Sox0lkG6Cnh?#hmh)teY!$ln` z`YRlJe-J!5h_>o4ozrl9Sr>hVHly!}M;@{=$K$}lX`Ge|(0stF8w7>}>g)B;Gb?H&MF|wj7G!N;D`<|2Fv}~2D zQ#ah(B76`V5-$US2hdyL^K^A}71`HIwx(n%8(*INPDnlV@a;wwE@{;J zOi?#3vPLtu+sb-51altRQjnnS;(mCjY0IjoQmZ zGn9{ySyd-rh?#gdPSK$q-s7)#un(-kCWtYPP6fVxd~{l=EQdDJ>F1o-aOUm1N9DVp z-6x0Ke&@@MYPM?$9nKY|q5Gad_|3JVLe_n({ko-e^5Oo6yz%MVs!2}zZ+yhAm&+ES)0$6ME=ap z7HU593Xm$4Fb-i@O$RFG{ea@*L0$Ct9E+f&%Ja)OeKKKjg` zdYGu>y=9$IWoz$h)T z4OEI7^AXbx106{fwX6J3DSISzq*n=`KF8reytx^!oCCp9+bfY4md4F)4^_=g2oH z6Ha=Aqg0oz3CFZQo@~S;o*>?QT>n^4Ng8vwXozNNw+U6E2B@oxehg7_hGhrRzI@gn zI>lEu{x}k-+~*P;(pjG@5tygwe9a1HJ^SW9YYN)IiqBYcZa7*kbOljJ=>JZ8z0u5Y zVN3L7DXpZQ6VXz~=C1ua@wxAn)mx<3KcYA^6pq^UEl42IHNWiPz*+5%T{w1d?wS?u zXby$j7O}e(yRI*s&e3-$Z)5Aamzp0WJ|V+9mTppr2&535G7~2w>x{h{uM!ay(fqlc zSIPfE&3^kR-fhLLpLHU+5VRw9Rl*#k^U}67Sk6M^&1;s?90m^l2bTzm5iYxB}nmZYR-t(f9Y94v5{dmy~Mf(4nOb}Kh`t^7s~su z)~M ziT9p8WU~)BbopeEF)p$H?b#9`-zO#o(ipIWBfG!Wl7k~0GCJ(ws=sYmUt}(e0u27i zn}L?G6J8bl1yP=lJ9Wi_gWq^gyeo$vTb3rY9+~Z9ZWzB8e*OBjxad`D9@cok*V`Bk zvSE!Vn}JKs)6)~{8FsUsQQH~mdETq*_r1J1`pnXS@s~MR96Fj*w7%u)=k)oO#7axJ zQ0ULRy*PA$=S#b||6SV!sm;u1-pb;4Ic?#Lh3`S|p`LQIOm7V2VAe>}nN3c6b{*$~ zw#Cc>iWl~Yv{$6lFMB_5Zfj9Et%V7g2@|lpDt4c3+6os3J-RmqSxRxiPZ`B6n_t}2Zgw9`K`<~GbS?(d96aTv7Iix!wzL=Lf+!< zt;>S`j=0m>X>d31o8F6N`4kH@A+jI2%dZKHtJoh-R4wf>Mmm}y!^Vr;9K*3`sP4o; zDR)b};t`rjSX zmpddL7?-64h7fQXid(&6%h!!Q!}qMP`uh{4!y@l2ud4-d)gJI$Og~kQ=zF~T-^xMD zf1`^{7U~yu3n!_P?ksAMoIfvTVeY#$>d5@>w0*ZxG!%kiJz(xFVz>4G8m{vR_DnJI zURV8YDDWZIia;Cf|GuMf6=E$dhYq#qT+9+{f4oIQ2^k$=pJsYWXkSFr(FB52*q#JQ3)^Pe_rGQIVg@igDq^PmWZ7Dw6#Mt9_^VY3>gL_=0lhQRd z^qWl5A||A}Ks87aj+&J;)hPOSIT*djO~mtq28ol~T8axYnAoqiNa)tt1O872exl1y zE~KyO2!#iqTj<>eOEDi)^TmImUx;HwP$*_RJe-Ptr_$b=NB2CigZE0v})$0m0qxvvHiXfXvq>r z8|}+wfSl>D^AHj^X9^wfV8D)ck}M^|$b3_Ji>h-)b?5nzFZt&+37 zJcg(5&u^5M&LVWp7lER4(4k>*c-U&}G@Wvt6UgZW+Z9{b&*U=e`8A)#?}bAzB1Pn1 zB~}QjZ9d`&3t2c0`UwXo=!n=J=>bR&SKkd?@j8S&K^)=X-Og70N_TP?U2o5uOBJ5v z=4VKWwkDnwgks@xwXdQD^uJios|Vp_IlooKPBW(yjn%iIEvg>;2rJ>#CbpJC9f(Tq zle)*0`nY!L0-EjTUZVbtWPkYy^_c{-<6*tr*bPctsclB095xhCw9`*Hw2~SQ6)C0` z)f!1A13X||_EwK$rw02n3^X^I?V{UWR9o{JCuwKxRL5 zB$k(W{#RW*cA27>I`hHQg`G|%`T-IbG_H{GJ|HxRPfAuccfqf5%&p-O>mkuU>y8E@ zqQg~&?TD_z&alfM+%g|#nn))l-@mU;+(q5pIc92wLJ>$?kn@8E6jlY*z*wOOY$57e z*Q@|3!q&1++9_i}x!Ai_F>{@^4g2EyB&;>#bDp@NV0nNC4U^+ShgD~2Jd!C+Bh`}n z?wU1}9DD{v-55%t+=zAI-a<(3sG{nE_QE1ypRd1rk%G;jAgLfTk9`t@4y=ECgszR?NZo;jx-dPL1Vvt^h1asWb zsLDu3G9hwC_dETAZdp{dc`_e{A9>=at}yl@n;OA^0IUf9p(2ufw|yD-GpDfh7bK!- z&?*iSkgbQR{=S`(NAbaJMO*VbRK(%%Lvl}BBU6Fz)N$But>xacfvpIPu}?p*A$vvh zP)7_kh<03kce*>%av9Ox{Vh;fgy}x4UdfX^zQ^ zyl5az38cnxIGiUE@<&slvoGJdMmiS#0QH*KRN#FwFY21fNMMyN!l(=th403P4kITSh;6X0!{f05X1B8n3Fel84 z$V5kT{B=^|{rlg(e<#27@_+&c={~5UAu;3|mmqCL*nKxTM&&Otl)EbAi#sXM9ObQV=D^+j*-FBu%*Z*>!ndv-X9m%-8||9O>Arx$D_ z!%YNEQMG1q>!@11jew$Hp!cUM*p%@h6k^gKlL#NJfJm!-CM!to(Yxc( z2Dt{ezsJT&bEuTJKHd3re?h8&{s?}jbzA7yHa%kh*l;N3I6sm7b9>mND|X+K&r=Y@ zD=>4RgO;rciIamDn|T0Q38bXMrH+wxts!`$ikTP2SxCm61+7N$oxB&%a$L2?(tzVe)1Ln+#oQA>y z3ceZt6RYGrTiLP`%N_UKcx^zZF{j2*y!TQvV0p~tS==bzr>Wk`M+nyu5|8t2F>FDp5S5$N^GeO${0#5pUWn&X`kLxrHWeaQ;7J*xF=ad{L{k5=> zFDEG%&Q(S(>l>2E3@MM#j4(Q@HOPToJ{Tdy898bkAF6a$%ryJ0M>z{_z(3dwkqnBm zzE4Wk%&lp`r#+1#C1+4^RJl;hE}K&s9Knklgzt$T33*Mcm)} z%1)#+4uBaaM6Ve_r%#_I0%oeldcQ6TZr!BI29=3h)m70vp<0Px7Apx(wn4|RMk^s} z5EW$c!*@;!s?-55sG6gBLyc%0)_Hj!$`XJC%jY9Up|d@dH^Tsp6+Y%u6ePw>1PN?g za;PwuXR zr!Ann^Kb8O(YS~do;Qhyo@=kSyo$Wq0yE{{?Y0`*o4jjTg2KQ8iK`hEkP%X)iY<7| z@7$Q1?AGwK)>|u#Q-@JB-ztnHD*b4x?K$?$j^l5>$fGo=P$ziHKo6--kD{R+Fo&r( zux=#X3LmhSGiObJ!TwgNF~RJ=_X}68612QJVD_E%k5=h`Q+(#g`$sD)BQ z%zODS7{{xQ2Cm!Z1*-@HYBKKP;nWcAaM5R!xF7y#89C+slEDH8?Hsa z=eiV)PsO4Rk_oe&X#=*0L@a5y&^B6MIHUXLQf2cS$6i3$V)mAy99L*QmZCL+qQlZv)0IPQ zQO(5L&8a?mIexs#3eNj8r)Qq2?erdcXnrF7vFcY7CZEvsA{?Op@Tn}Fk1f3rx_EpH zDLfgsS{PR!ELfEV9gLEbKsddZLW-lbDLCvg>W6$$>@Y(j+ZaQo9edipx28X2ToC39 zeWNmQE9E3;*PI<~^IR*2ZM0%b`O2F#Ci=Ry&p(;Kr%%$@awW^`)n3*#xfXZ3$nXr0 zh^7(XTGCE^>a!)!=2!3%Yu}eypYjs~Dz?mu0XL@Jy+Oz$aR9Y21{nOCXy-U~t=k?BfmT){*VxX#!uN>5v0VWxziQke zs7=hiHkfOK%WOC*ruG@Nv$2!muzKQ%+ISav&f1v@+qohVd!laL8txu;UBV?;t+z$W zhOeIJ6@5O+3;ger{0)9h&m>UTiG!5c0SRA6n|-m;ZUO~a6lax#)4##%q8(v1&y5Ox zdIlpG?w;h36Q)ORpGvPfpLM2NnUtSDnMSM`bDrqYdSi=<=o9gx7k(kGBaMRO2n>k2 zY>T?5v=jC;Sd#4ZfjRW~iX9B-uUSaXukSp0*y4bgkcbxZcw#b`URi;$({dVSlsdn^ z03L5DZIWZ;(8c$555Bi{$pBtiSy@r54m6hZdQYinwZ~U-SmVW&C8WbbE}YypL7<7$ zC`V+*K(UEH_EV$~5G&9hj9hY|#Dg-Q$7n-R#oSiXHld$!^a7+LK&Dk0FnJM$$Khf7 z-WI40b)`SFq#{4kG96R6mO3X@bYn2;25QWUwwCpjnQUh5FEc67GNwmZ1e^`2q2Q@b zPi8y}-|BTAbz|doL|^o6>7dA&@e2nZ4_~l?iT=3YY&Qn`0&;q07W%g*-$D+SmK@5m zIaBBOdXp3L+aFPE0%2h%nh#{0bq#R&?_l1*`9T*EAQawN21&7n{Glz?JeyG`tUra# z&fHE1Sr9NhB7BLHAzNiHXM`JZB^fSz>ySaWv)q>v&_rzXlrH6h(O|S_E92(zMEb0& zMrG6rd8EV!6vFzrTy!+Z2|bczlI$7PqD6_9`5QF$w4Gzgd=xn;RVt&wcv`oPWVm$8fNL5R-_RmXox1qkTiq;IrU*LRlX9&3FUe&|V+b z)}eT&VAA5@I+{+REB`BFch~0k=T|XH>kA(vZv#5;UPo~9n4G(QT>KKnn-ugmJCMlJ zy=_CmbOnrpgUiXJV8|~N(SnciMY*jh*GxPiCvuhP^OZ$mldul==$xm!PFT)C1b+pl zu-6PdaXAH_`kZrjAynVFfXsf$%+h&|f*7CV-X5c2nsn-Q)Khz^cHgs(^@pq!Cz#+orS zhy*tt;*ubvx^2@t^Xt6i4uO$r+v10rPs4rx%K@0ebfnpvXdlWDdUUS&p%8PUvR!iP z7{>SN{pW@8X$ZH`1O~A9^~cK6Sh1=ePp{fe=%TF7PyB;1=mI7VzRN_qL`qz_kVtV$ zUi<#&lY&>TUWHWirNnD2STCBJ*^eYgf{)PniW+W0Qwr=;6(xYP5H!_7G-G}E1h@_8 z8-=Vp;grJemeVa-@pALwfnr3Is*vo<`XE72TUnCW#vBw!5Y@V#V~gH=TwoHO7wxLI z5#>p&dNKctJ@JS@s~i7T6#zkb>a&M!SUBhSq^Y84h&U;T{4lOt=0$hExoF0Z;VXYq zaEmJ9&8II@|HO+TcpN3+HMm{f)q2E_XSvzN!e_c z4}hzlo9GQ724LlWEs(3WMw>M@(FCr0u$=oUf-$z$#*=0;Tib-`h{&vn(+z6IBn1}@ zqW=wqQ+*O3HF|0tB%h;^@<{L4L{dV#3Dg|^0%2LdiGH`M-wxO<<1E6K z!MoEO8CMryMGFM+A|xyGSk%@}w~@-2w;kMk>+TTwntxu2!A-~ImU zA_DM_Xd+Q^*!A8}!@f%>ir%A|dtc<0aOe68_Iovs@Q#b$?VJL>0)*I3YQ%H<;WFjc z_Y2wak%J|#A-uy^2lpA;p~1<`~O&&xU++75({pMR*`AIH8Zrd@yJbm+m6Q_YY+@i3&W6E1vB3mQZ2 zn#K(d-@jii@Y;fl(95lXG!a*%0OtqT1;cjvRaRHykb$!X!ar*AHY9}iltAUc7=-8} zP(+$O+Ely+cUuJ*RKdH1s#>!~l1!-9n-o6n6%>r^(HTyO!&VNfm;1aBTY}ZhZG81c zHX3=eaI!gMwr)ObeL_N++>qG=mbX{=fnF{m!g?5~qRUXB!v4HXLDA+rsz6>t?!Lv< zbPHVrGJmlgp+?{+HH&+MH1sqt`CEQ)2=dzycrPV zeGG!?_6Wfe96kE5MK%5Pohd4#eaotd*oC~Ay-~~I{fj>Bscnpf-#&yfJ- z!bE>JM<;Hlh6A#ZPVoUtKGS*MHl3WOG8W%I{bA?<)ho>?HBLIw|Dn?6lZV7|%!|~X zZF`zzV0M9?c(j{tH2vr~7gb-6v8>HQgon z^Pgrn1ohkREK5aOsW?pu$wcVYzx(6_NeuOSP9#<5pyQ9{B!Fk@fa#i7*6(hyR$Y!| zAK4L2dCL%Wtjn7`TXZ)Zw%`^()7c^J$LaKCSH6bIdc+`+K7 z_fU?Eud9$XZ)nrm-rB1bI0Wg2k(>P7G##2>lqv6HKvE}B2Gtv!nXUdn^(VQ#9RBmT z_*h=~0^fNq%o)|3&UbWESR7PF1Kh;`N5a)D>llw1(y@NTOO8i5jz`%!#n0)f z86Eq^c6ie|LB=57$;`CeOBV!ADVvcK?u=*0_a>Y0hOwLxl{g{_NVHu^m(3&QafTWA zTqN2II{)&nHKN+43p0hf2^8|@@v`&iyia`-+SXGz5wPk*cHNi`>qW@z=20XGP({@o ziw@x+nN%(grCp6J%grD9Al|;mW1T{?duMTwc+nvzN6(fd-6JudHrTBi0OaXJa7rw@P=(XEHpUgLu8Ja~;RmEACv^)TPqLe6Q9xg2mj2vt zA0p)lVv>dPMBW4fr1(8t!E~Tdfn9_gkkg74g16{Y1b9=3nKVct2v_{pbAXz(E#}o@ zDBg))vfYZV%zTdlF&G!%e7wGkJEG`ISK?&Zx0Gj4`gOnSx#JEM4lEB7xoe zj+`nEDF}1Ere9?yzI5;Lg|giYG3yaKWb7+9u+@3!`IZMX?Vhtt<<4(#kw0(mDVv^pC><3_rdv|~O5XS9MH%PJaQ z>WqCJJeN+@iW=CYPo`8M7}4!Px1AIl`?^_ulS4N2e|UA5W1%199eJmJnmeEDT6G0c z!?WAML!^}iIT^@B-3X$uE(*=y1?*N#=^Pg-h8Tp2j`?%@dI@{ZsS}h7E^VOCX4wqu z&TE8TW3MzF|51&+e8cqK-CE~q-v~g6za6Wm86yWQDAd5R#R>ca)NqQOK5z5>aNh z$_Ry!RS6}Vtc-|K-p}3h|G&rkI*#A(csx9}`@XL4_5Ggb=lqO66%eIVeepT)5;NeK zwnYJ>q)U}f_t?otG8L9u^V*tCBaqN{g z3RCf+;Bl!^GS?)1To(l+(l_16H@i#t=9obbdw&8?cQx2@GN(ES2XZvOr0|kBd-=a` zZ_{cs@M6 zv`?PZ$+Gxq)R;TJec6zwc6gM6hREwx#lLeg=oM%Z;O}&nQas^mFGY?`$uo6N z&ijgYAtPWh-C9YmPy0$YmC^Z4%E(%pycv+Z%zCCn|lFu z{Xp)$>ofC`JK|E`TFynb|&;-jsN2bJ0i>(&E z4#37S`bV8Dhipm=)8s;e3&&SC7pupk!LyU!`x;bvLbM~{&K!_*x~Uu6CAaO5E`cQ3 z5My+LYnHj#y}in@^JC6cLj+j}c8tRz6o(s{9)-VH)z8 z5ejjO{;Pl@mr4~30<*!`3Aq^hJ{Ae$R(bnxJ#0HOnNsy22<=dhoyoDrkAWcmv$h1D zr`+<6R{R(6a$l22sJwi%mp{^7Kauor$l(u8l9v-hr^@&W9|WZa)$kaRK5?{+p#}BJ zv^am&4r~4>+ocL|Erpg-g3m>twHOFi%V-cBD~5*9+ad0SC%z{vHD_lyIpoC@nq@qK z-93{&FTBgX1$!y2Nx!~rDtHJa&VgaiOF|oupihXe48j1Z~D}jSVhe}>f!S# zJ)c$0-wnh%YYC)__ut z(=O=deLZt8=8lM<9*dD4^!MOx)|h-e?{g>U@mVTRM+^mSMOZBRLbT&=X-QyXVz+&w z_f+>u`R}Lv2?Nyz81h(K;3C|O-1%y0|Imj@;-`rjANQE-%syZZJERgD1X2&qi_Cui z9@cP@nX2-)F<&ISv3DOSw=YF#%4oiV|Lrd-?Dh}t-(t+BMy^lZlY%@?m6TnQEoMRo zDShHFcVcrFi)dyhI3bcq2qCE0a{w;a4l^C?3hnz;?5r(Hub%784EkJb?((GXO zY~bB0?V&6%D%<7p2YfNBE0i#{U1Hx8sz^d}TjXZ}yLExVUgB++w)KM6QmPLU&9!sN z=R$Tl2fva>&6=*&bS(aqM_Ga8QD*Y1`SKTN{exIrdN>!O&DUGLH^%Be-l<3#o?1pO z43L~V39%Xkg_{m0;FBI%d=BEIr|%ttN3Bg6Zu;h*8<}0xUeeF5=z(N7y^2{n({0e! zLAMPf^r!iG{G^0koFkuzorv$c#sR8bsewd+J&j}Juc zO31dO&g>#Ppq3VpI}?H0;B_(}juH7iLD0CQ-z#WnpaCZ*YsQ;}*{d$gaeo==)Byq# zbXZX9y@Wgqdq-nhfYK4&aQ{> z=)$xPUd}Ns*j2dc;rN0Xpm8C+)1&Nix?2_vDNivYMZ6nG{olMmdAeosAoeiEiUjaX zMn=XT6bm~EW4^t49V+%GSCjO0&O3%?UGcbh)qq{mVByaBZnG|m=Q6Yf!If+mFjH+9 z>Y0*1nlX(RrBm#&E5CF_O!-9P=uxN7{h>Hv}s}n<#moI^)xW zQlJM2M}R^cgge9m9o2LEsehh{v#?b_wJ^|pwrk4ax5Uwn*XnWEyx$H6HK^xg9Z<#} zJY8`YI7$ctIn16JCU8e=Z0%GZ>e=8sYLsMgWZp~K`|_!9ao%QedgttgQ-US$JXmuF zkw=!5di}cK_uG+zodh14wp8>Gi0RPU$>$T2*DxK4{`6H{!}cS`pTSLB`9 zxcurd+Wp83&@ND%f_Mz#B5g<&rcVGtl%ff`X6V{aTmAyg?$(6s9Ar6wuo?FJ#(+G2 zP)w96c*sB&SCzAcBuU69t6BbNSksQMh46(a#oDTk$DDk6IEknQM}ie+OQ8ERe!8C! z!JTb6gEIa0>yZ+4_j*c+UDFC?R?KglB-X=Ai>N8YqbU(>nVOQKnxhL^$CqTy9vUV1 z9VCe97zZ}gaXsay7H~XqzB|8^_(*H&naX`m6~v?EAEDGy|M7NGY@Unnm$`=ry-&-H z`uZ>ZV&b2yl(pYd$hCi&+wfXbYNRwuTHTZ}tUOA^MXvZ_){L((m_b_4;M@*4az1zsR`3@W zP~^WnAnl?Ke#|uZE{n$e_M%4(7^8n~)VGX-QQ>Q1h2XeR7;<)o*IXEl|wCXv%|4Jpd#h0sEDeoo3#1!4$r_j3y z3bn8Q{K*x9yZY+H%Hn^LVDctU~*%?e=5|pPa2Y~WcVSI`$ z2Fq_@0aijlT4N|7Z3vWSXQt{^NeXR3P=o&fYEazmgVs`gr+496aL%7p!xHfA+rYR5g}+)cclVqS!dVEW4S}C~0o(Dkd>V5i#S=?7}!S z=r6hY>D&i8<I_|-G1;lR!S}1D}bOs~5+bveiQyB1y?4=lWgIb^- zqek%TT~0ZI^;6|M4s#&U-nRJhX+`aSFZe=n6Q#z)8?k{ZtRstRSITD79XUl zRYPYdQvRjyp4-cz#7;UKK%XEFb%s-RTWZJns4>Y|1Hhv~S%972J47)aiyl|K{wqoa zP)NhOB)#@%p>`llnO%?C4}V%%dG+Y7Vq7+$wd_r^ynIb(g z7$!}ornKj3n;0mZH3|mVU*(qi&C3GdCn*>}j5OPCGS~Zx?b16{AEg&tpO>%J#;Rr` z5?GgC_o7@70$}_5lfe>15S|XZ{zGMZuE9g3x6T?!Y(%9T&*E#`X=M9W{aS7y`sQkV zy^FRSk$}p3ergzqf(g^GJOrZ!*6}L5x2BIo8xL~#Ih=WPj+y1jb;9u`O`slv9|C;P z9oB@EzIn$SKQ75YXt`}l8v-r;ekzm_lI6ad(c_Et+kauYx`$&gISI%NUw(OWhHTx~ zeyX1@V*1h$GgoM^fp3)G&%@+yYE<2+p1T+mva4&!`I<-}_XR^ru++J%V zp2REXvu3e$Z(cv8V6D7YnOsfn>?=j`4|Co}T{r{-M^2dIzO}mQ$7Mq*?RqG3?4le` zqW+IF(&>Ni!vV`qBJ$C3fqXlX)-1(iL{@*~Ed#mD%eslby3pE`bSqwuk>2wUnM8){ zi!b0ra3_IHT^0`qBbzdX+y@|v4>-L&T+Q!n`>Tk#90|kK+wBR5&J$RT825fN_6CD2 zH&CI|yU^g#TMB*{pz%c}s)G^mg(T9n_=>OZCz~?l)i_VZ!n1f{A{&(9l$7exTL&UhnG^qlHE6hfc z1CL|g&U+)2Lg7jYFbD|=u>6Jr3z>+(%3__VejD1nFK~k<8GG9n&+C^_59*WgOGO1* zqFi3e)m8r@-vT(7` zKsWQ6KqB$(kZC{8M91@1XvZ}vC%hX7o*w=EVV)#<20c8hj<)Dfs?&3*_noy5oKj&@ z)rrgsx7~vsAL-07E%sdPL1XG?g$*r1-NQq@K}HTeG5>+A8CJz4>kpz{uSUu>E>3~x ze^H1Dgx+_LPZ|p`<;`I1{@gyp?ZuZRVdQdw((L?mvO^w-xY869N_s}$yudU)%KR_z zCFt)X5};o?j^Xtzzlf$vIiD8Lk`}wq?!BR)oJx@!Tvj5aAs|Q`JCyJ)@t^wL##OCG zK&dxzR{p2>-on*Zt{7~@Wdm69e}K5VCY2#~rF6$%LuXG_Hz5_BK%CG%x#T1o*3|RMvN)uGSeZ$f zEu@3)Zc#nc5($Ygph4PBcK+C_atQW z<&@^U#BiTG)xlUxTzb*ym6#haW#(#qaJe1M?-u_T3QqpePC~suNQ)PG=p5_0;LnVl z!0kLvWEY<^SG{MfE&L!hgV8%75&NLpE@f@rcCnX7#@>$Y?Mg(~1OPIo<@}SqBsZ+I zbC3Poq97bzJ+!@iDEP!W9Q&cHB%j zaaRl{w_8^?MW|8|RSKh)REp+TqhDv>^6tRsm|zD&)pR#bA0tU4qnsW)+z}MB;En1` zb?!BCM8Ag<5iv=9-%Lax0Rorsh30jBPqINH>>iyqu>L@I2`#54kMG@}wn%|hJ>lk&$N^3^7}OYt2<|BQN5R34l(El@g=6^48BxUP&{EEU^Yzp8V>hn zAe#D~H8I#R@+9kr=g!4h5Rs!lJ@~uz%*IVx#r7@5J5>k&Irl=y#S|ZQvp#pEuK#K# z#B^9KOLjf|9V&>I-34tFcZg3vKW{Mdgf#stG)r-iExdAmB9OL6_Ds&g+-NAh>(di= zDM^T%V~VYDQ@#;lAXT?k=!&)#4>HxROxWCfydB|!?GOJ%=JC_DZgUDY*2eYkq7EE~ zod8wHU2w9KRej7?r#egIA&SgZN-+Ig$=NRUq>|CZ8FtyK`Um(2%M>Y$k`zcehDw4G z89B+EBv{~{b;*TLqG(LWr;*@rL2~1m3XyQB+?R+of}&l zOG|EZ7gTEu9?R&Bik~&(iB(m4)B|Bw*R=ROBu8M;XYq|uut(Yi7C!i=Osq~P{Vs@@ zQ(#R5mjt-Kg9QOnktPr9EiRTuCT#AA88c!rfj&Gj?+^pss zC&-=upk3@H{IZA7fgLyfFyv6oQ|~s3;671lN9NbBUM5wstrFSZeRxwXc;xS{wB%eb z&QhUZ$z7u+AQ0J%T!fL6#I?}XonkA}h@MYg`|Z=|e7iER=La_$Pbgn}%)0NtX*EjS-kv2|ed3bStc zQuH1xFuxIIqvf!Yyno!~Gx@#~Qc|kia@9@)V%@@EAicWr(i_~6g2`(7Y-JLKn=Q3T zlr5-n{W(d-nY+6TlMWvnI{{yPrk+U;I(rd1WjdBxwN9pZ?%ihDh?1}@>K4kEUnzRM zGe}&VgcELtkKeG(ia)}DMyQ;dV8zQq5z5Y=*=d6d3&za{2Z_u1)@~>NgIIA&J4tHq zXMqj9g`FY5n_a;W@IgzLuP^Y>o1!yH2vImx7vwF`Gh>i$6N&^(guM^uWNTO%p*w?) zT?GzS$iKv;$$#VrVO02q59bVEK5@qK+BE~O#|29=G@C-guBWB~`@WGhiR)gI7z5ew zlMW=oEDya!;LS--06ho2Dhj}#YXf(y!Y_37G}5a&9s7nJGnyybC-Y`P>tNc=s2}I1 zQ`l{Ut)S^B!6WFEx#4rKZ;b<~=d43}MWxc;5z<%io-hX8^#2R%5y#peQ_${_9$`?6 z+ruWqOc81<^PtV@IbwhOGWL;-;@05sBHSH9?{QR&V1v3Vd9)JgjNz=b$Mg@xvXEnj zq)KT#JPdqr<_Jd)-X&wJ5SnyOQIc?`@H7g}b`K!lGo83SHLVbOM3VX*Ex#e(+R1@L zaypWSYqx<6;EDPgiJqtDywosV$2l-sgvx=nxJgk}kue%e6B7`dop*Mk9MyFC}Bu(ySg`E-C2@*_1kNO!Hq8e7>gp~k}@Cc=>HH(tHQQcdrEfj%@ zoIApORQ(7zb)OOxk`qdUb7fiL){sGKShf&f2i3QKPMO?VY=0-qy#{%Ng)r?2!_Y0k z59Z%{t{v`-CI(@5Y2o7l-%*pfCvw)LL7O1ZVLma=8*{D@BvZcSi=_2eL%KnsTapu@ zbyv=L5u$kSc$ds7)r~*%WnDMGDGI>J48{$@06^i|#(`d5?dv*Nju{8do;{IS;AjNm zpxdkMpK-{gir`6g%6ExfaRwHD*T8->{sFhHDUk85e#=RwRRk&NQn_912M6cLo8%8M zV+Vj1ktHQ9{T%LtAIYS56C#Tr`c#9S?DK3HXZn+_f&s;oHzbDcAONU#%}VrETG4n`~F<_$;`0F*|Qlpe%bpjx10U-h~Cx^ z1V?7+^9iD~OB}%nFllk$75wm0#kqt5ki@LSUImdJV0+MGr`ac?6%e#Sw~8jjxDa5$hf;e11Y>ZvwpZAsPS^ zxzuBF{ig__HlwfOwPjDlY#*EozyrxlU!+j-fz~eS`Hsg^oPV@-I=0tQwNMHCEa1B? z?P~^I3Z3$CmZ<%GJSa?M?fSKw<$DCXWPdxY!u({Lkof~0_9noiP{q;EeWt!3)q@>9 z_?ExYX+T#bS;5{HSw94qu`0exR8&-$XkKi!Z5tQavXqzZK3K z<=$9ENa`yam?0Y!DO&T3E)vQ|otE7G!A>Gv&ei>w{5d+}m}%Y4jckIpVB|+Xi`_Fr z_DZNw20vfzpfPz^Y-CLU?`<3`EiHj)KJR*EAHTUUu6Wfk z;&-Yu#kM(7eGTuwvA+V$W~=wZ3%s9C54wxXYley0#-(QaYOAw)a@j(~C|O$wq40!S z2=SaB9FElf(7pY46}~)ZU;Y=5VnssA+Vvi|bpQ?`RY0`ac4qDGJx))Dw_CQ=Q!BrT zboVADQCqtzS+%k`3%D0|{nA&j#vsx){PO`ih)6>ZMSrdFJY(m^ zp#poL8ueQ5xg_qWcie|)@9>K9?8{J#`&~djE_R!{gO}%nCufCm=SeCGia4vVMk({S zc^%BlPde7BJQ{6|(F?xGQ8?zcu9crM{;&zTOD--&N4=Oc)vc|q85tQDf3mkx8=g3( z;p5|TbPrZ3~DfuV(kh0VV&NcNF{U3=|k z+DiC-hn(l-kquh8+$}rTGfG-sHF+-AH27J!_-8dl{Vv$}^^4-qMA{`L{>|UNJx`M) zr#E9xu^eTkrndVyW$^RE$Brc)sHnD?jShd?-o9D+u9L@z<7D}o*Fi-x%9eogC95~0 z_ZSNe+C}3o$-NtnFGx8<%5y1xVfmp5@jb@8_z4d`O-)TaCtH91Ad?3S1Q*1(dV~=i zueELC5Z3`-TkI7|$oiquVSUZR%^jZkN?9cN=fY5OadN<)wd9RRwTC+8j{RCs^bGX$ zvU74Ga2wp`&T+o&>PpTYmRKy~yy3dezF_4Jl}+Qr24BU!oFE0oc^UEx2#hI(CnqOw zEYDzefS72vkG~=#DgLIr87o^=qf&bN_U&B*cafG{{f^xcOc{?t4|QLTX1ZV_c1*+E z{K4jXAyQJ(6DLkUOe57EWZ!#f|Al#K7K!lia6;M_71e~OqF?XtGzg66=TW2#*Ld>E z$$hovrO%so(9FO4CF8xPDzYKxjW1KCtFo@nH!P3G>>n?F|EK6?qf>xOk`diwV}3q9 zw*eM0F|jxvD&M8`#AuU+ec!V|H z$X#>aeq49kz$P(4J=ZwF)&luUn8c~vVHUOPX4fi$U+BdNt9j_i2x^i&1XBZ~u|RXT z&u@y1goNs#bV9Kk%xoE^CQ6L-^z`r?1BzD9d4BzOWos?nIWI4XdfI_+XBwXASzG6D z$7F{N9q3OhuYCD3?FbvaR;gkyHK~E2p`o6hl2T(xgXPTHudOYA5jL7+?mAysiz`ih z`^JCc3w?%UsfFLjR)E9TDxC2H8oXGP{2>==;&C>Fe}n}HUZE3si|Q!&`@sTCXJ1Y z+>JbD&sgf2$>`C_y}oBoY3y?cML^DCzwPUmmNPT+GxMdY1r|-Ww&c&o#nQ|_gnQOj zzLuJryN}TWAK#;HoD`Ilo}D%4+OG2&Jq(x?+!IE4FqY>Xt*Rt$S~pgF5Y0pgYuk3q z^OM&hSub8xsg~uwaMvhM8sj_a{bE*N+rUO+SFiVto9Oo&bE` zufk|H_OR2J=iV4gCa7B@nF{(Gjykq)eYrFjG;sjY2MA7n|K4?~7#=w^kGORK)Su{N zSCezeC`id}FHjw-EGjQgpyW}rQO@mi=WNEuilcnGM3ZQhW@lk8DkmqmOjm|$91O|C zSf8qNdQnMT6QNyu5fvGzT!u$8{M|`A1#q*MqlI-m4moH6bK2nPW74uhg zmR5g#bh-*nBr!3u;_1`(CG2}kEMPZfhTKwqrf3IUU0poCvFYiTbajK`dm;+3%3lw8 zh+_0Bb;~_hZ9X*E!_wyUpI-&!RctOFZA0&5@Vs!c!Sj6FzBdE_@v*B>{lZv>{%=*q z`ktm&&v6UNbQ9N%>zFH&m>#kzxuTiL_~P;Hr}yhJYOZ^bVhdSi^Iv*J$ED)tVZHtL z59hTa5;8I<&thBX3GqMhm{VeMZMeBZh97|ogOH*Nd$@vGmi83=*Vs=LB^h>RI;f$} zZw=$~)bu7egqX0|X{>Zaawpq9JaM1for*?8iJqGDagSZKZyZ%QjFmRU(0ae#2c!d> zs+jFu8OmoVwcpl$Ax>cHD2vh6{BMka^4Y`*55d&F}#H6$ctV{>yiKU0PAb?}t{R1a6Xb0MNVFR%4a2I&i_ zxjumoHrsnkB(H|!KY7kfrs$FVD)_YfO14kESHaN_>NYly%i47d@ls1_UNFhGO(u01 zh3DuNCnsm)6VfM12eeD^7*z}S^naUcd-5m{4@uaX(da&(KT;OMEZ5RVD=2n`n3#wI z(Zu_Bq2<`H+{(&IX=$mth6XlUfYLM$~YM%T|R&E zee*jgC7M1+r%Gf0qPRP9uC-P^b789J2;!Mj9$yCJE0=n}8ds1J8YN96mB z!P%0)R;jWv_{#L(H{&R?j7jfjuD{2cdjBvsgdN9wip}a_6G-V<6wdmv0t~Rzx2Vnu zB<>0xg|#Zfy#~8aC8G_2JN;YbN7Wl&v~(0U0PCYMC6w!J)!t(UOpkCn-O zj?4_lxO<}%m4y3%uK=m&i?LyWvGa-Sw}!IyJKU3$b9AwRqGDKSy2@r%Tu?y8P+q;K zsJC#wJuWd3+P(I-Z$GarTV9%8SP<^;J<@U9z{JGF&@koRy?gi*IQB9!ObrcZQax*G z0teR(EPT?Nhj*+NeENN!B>G$U`GbGMo?8bEballXI{*Buo*)MYhrb zp(341iD7v2#Ao8i8qa5`nxGDf>X;oncP)jiOQ*ZQH;wam>JLP#AVflD@gry;%EMJ& zSkiv0Q|dXT*b4onxzS(Yj>ZUnzL-ROeeSK{zwl;0qpOH-4RV*A6gbTSv!)=xquL3Uzh(8B+7uxzinsW`1mtUshU*<&9&%w5*Jhf&xGL zd!^`2d%K{NloXz5Y^Z#E;nQORA|fIJ0&kI^*xFj{^$j(^%q=I4{JZJA&-%Z4t)Dy{ zDtekVeikud{yJLU%Es0o1;(D#s^FA4?=#RrL8q*uvZCXJ{q~&*rJ?eMcFjDu;I81n zfK_~~II2CPy4eSRHs-v~lodn}49&;kdyI8O1LMDe?;2E!d-hLIhzX7u?4n`&Tx=#6 z5D-vk@B$2_*g!(uFopt%N?2W4iDo+`Fjb!1W(DYYoQ?TkirIiA1q>D8me5`dC_?$; z8JypcN$LqCqOu)p8Fub|utTo$uGLeQs89%oUzMLa(3uEc#q`U;`E z%MB>q$9YBH(6IH3Sx7)g=f5J3o?ex+DPd*B12YsQNW$zHkLwio3QS4$V1LQP(PUs? zBcnk1hT4-(-^OSo%ovB3iHSdsWL!mLf?;#O(#1xBm#C__=thIJjPCot+5$z!=db0} z)zxr0c_)(k;@OEpMW4ko#q~^wP}XBC%qOzBw7fTJ?jYi}-dL-(pxR8%1|OmBSnJ!j z9s>ca+Lqc%oGqC|Er|Y1Gull>l`tXskqzhG*UA@WVT`|c%f=QKI(%nZ$i0JGa6O}L_*c{yv43lt5%{8Ib2xO&U0=V}XJuL9N}|G%{N4#@q$5QXZx?cw zH&F*L7Nb2ciA@kodU^aC3|&uKF_htqP*PTQ{}|RH$@mDH_Lkz7%(~dUJCBmGvN)Gd z`|hqfUWD3{g-0XKXmm%ZYNX3c9A2#Eq$DKaFC8%P;85ebQI`}HMC@{SbaL|WiUtFV z2})+olF;%nX8lLQ<}6a%*9@TK>_KXDz#8gLghQrpsvkbRZy& zVcLk}%6#P*4%_TY>6e(kEuS*Bwmy7jL!`B(C2Tslt+llwr*F;L%4*5EpxwuiBdef5 zNH+b;k+Q7*xy|m+#Z43^D!L+dHl>8hI5k-v>$T~!NKaZDgzy@FbgTcjtX-_c20+~Z z{OAk~RyKr(Fb)%a_9!N%3#P3#yBpBbE5B3f#Q+kT_oWnb&Q%Ge_xTr&+@RaHkGE6| zk2J;Z-5gnIX{^f(k}GTeSn*ro4owZm>8P=BpDOKbLY;PnnI5M6K5s%6LgVkY7xIrg%`ZQ?tfAC zjvHsJJtLW><@b~)2COF{YR}uu(${HM6?9i$y5R2q?10RiC>^%jvGax9ayx^*tzC`f zx)!|ibM3Wcvuae@EM4w8-X;h1mRoY9{*TeZf^kR2gNPa^-tQ@_Y ziJrdEvnua{!}8@GP@s}x&TSQOr#UD;)Nz|_Bo!CjQuNPE#M+gWUcR0uC?Ft3@DJn? zo8&4#iJcEC&(g>GC^M?6mai!wC$@gd%gYPDETpZi9b21mjDAqeJ{qUtDGAxWNj4%4z z8BUpHcmJxyUw4gq94d-FUN(J++G8dD1><`}^UL1coq^_tK)S8-SRAyt+ z_4x7Q$j^!O^>Vf`Pumqy=o{4^chN?8{H(5iVd6bT$G1YGIs#$~G<2U`TU0WrhlpH@17SY<&blPe*@8!$SQ|0PTP6a73yQYTi6Y*RO{pONt z&(eM3`<~y{+jhUKfAwYARz^d=63BcX>MVt?V>`eBGdw(O66=wKD{hN-jY`AHs(LD0 z2nGc1K6I?ve_5Z@swEn5{FW)e;bA#-?fYOw{;~VJyOdbPBV&W*-lfp)|M=xcN$9#W zeAig3pSRpJhogFXXOlu$R?1G2-zcnhO_eLWMwJNyb<)c02FOTg{w4Q2cN1?h1mNgJlMscBIwhW zJ7$!TlCpt>i_Y|u{rov`cdzB@rxBNxRrB1_oI-O975cv}dIEa%$w_N5eht)maDD>U z$;HLx+__kdOY`zC%gf7=Mg8fMVf>T%a^nTCFf1=$M)uG`L8+Q@V>!jZg2gGhvn7t# zXEu5oHhSd51bgYn^nbP%q|ojn@fy)CF#;o>-$DS03x| zJ=VNO&%`wK{d;C&VgkKDu?4}QuSMZNhQ8Zy*jxPWLTK9)Z?)|lM=jhCiz{*8gw!a!#8->yZ zdM)Nh^YjGN-t1uD@xc%kYu0j4NolFB|6=zruoML)T#Bl>mizyI1||UvS$r3F?_OIl-&p44uB@!A!75j6rLa8*#Z2o^ zkizx@Yvn_sir-ZB+5EdR7k|u>D}?`f^Nv0>==t?b#?eCyZ&1wrwlUZUrQ{JN!J^s< zBD?Rwzj!d~qBb){M|*p_bvzTQIdMUm!x?3_xlR>5!q&r@dCiT8W0%iXVb*yuL7#;~ zMuPiSU(veU6M6xKqXp9!|&Yd;818{bz6@6eid1Z00X;^6Ja&0rZT1TPY zXO~-q3K)rnmhUkFIQW|d-0*cszvZyw3cKlyJXae!{u{}g+=3P9L8g3GT^XmGMYJ)? zh0loIL4%NIX2LN$C4peI|9*DV@lUn;xPv}7aIWC@H5>5-IEu^ddV<0cc-g1{w5Gqn z2tpwq&6Mt3?L)RqTCDf`1SGfHo41P7S5C&RtLCSr=RA1u;6IeZmv1UTp|;sSuk*Wi zEZ5r7(#Y>E0bXkWaINp&y~E{fZJmKBjfKTS>a!#1$KEA&W(q!T5RuK>Cl`UOc)Vvg zVulbPa{ZSVdSg@HQPSl?iL}yb~N4KzE*wbo~RQCYp-ZkZJml#JowwqfRca_i{I+S=q$En-Yr zTqEIKXtzo>ur&;k*NS|qQbJtZn1e9YXDOv(#zghkysC)lZab|uH}IPbZCOVY>FLv_ z5Bo`f*PX62EuMZ<*1|1l`PATkzE?aABj*m=s9h+?g>ws>>Y5MK!1QA0X8`I zp*Xjs(?{B!g$iCiOKh`x!~3KuPEa>=1~|cQG&h9s`0M`uz;7Ao>A?$fTrFZb?jqwg zqw}v@rD2s~w`pYD(~i;v;NjJ^r=7no{A)LHu)i)ph$qSQe12WM!66pL;kC5)>psI7YtGW|8p_I{-P3v#J-aQQwHnQNOQ+9mMLIMm zZ(=sa$i!q|U{GXKrjnye%_igfKJOeVbgS-*ua{9H{fEH-cLWIRI~cCel-B60%Y@2q zT+L|1tSKT1p2P^ljf|4WY9oY81TbJ6tuwVdZy9ssd}B)I zG7VWa1$Mr`s~p_iR)`J3co9k_Sh!p$GI{2A0q3QCe^I*b6Ku1nq4H900y7Wv-{~{j zNP5G~NnAwN-u@fT@8njXW6Lnr^l8!fM| zGx_mPx?fg}teLA(g>=U1_r3~a;WjCAlokZomK)fY|0v45M?LQ!1|GbMD4e`=T!jYL zz!XNZ>^dMP0GRh>{7TE(5AR2j8eJwNkSM^*8y4={eRT2A)QzsVSrVK;-@diQmy$Py z_Q)MHA^@wNp8EePEFT}qDy&RXy zh@pacY@1QL+rH-RUE1lSX10*nhA$p*j2?l02CS0TPx0~}6lX~}rFvku)COIk9>;U4 z<6Ube4h~OM9xea)0Z+voPYuq;yi!Cr2^Epn;6XN7e_tH;V)r`CkCr*Y0Wql)OMjtXaV;tBvcKj}To?ICAexDK`wmIz&DWIb}K^z;%^p2ZoOnr5K0 z*r=qD(JtLsE)7Tg=ZleYr?e!dOg*^40udS`Qw4DmoyFNy3A&m?wWa|JgB6GgzPc)LJ@SOCeX5w zrV_m*Zg6*25$GrPe*N>%a%<<)#zK3Q*<{{0;=!q`MEDB-sx2?yaF^qB^Y<1DP+MDr zM*!npIjFeLB(SRL3Ji{nD;$)!@7$lBr&st86dZgFrith<)3v6Hf|sfVqf{97?Q1Ds z5FIEODlsz-4WCap;0V($pBvMDGbhqQRs3CP?Ea|}@;HprE`>O7DDiUU=-T(QT%-p} zEvipIk4E6%XZ^UN>xFNJ#qWie(U0|2vuM9CW?mpBB6{zM(gx6Y874D|4_mvs>V229 z$}~vUf=onOE}QjZ7IQAlxHZVM7*RjY#>Om}CMaGS?Z9^T-mBSPGm0;(I>)y7=OqaVL*<>wa`GJNIYUzH$ShqgGj!R zLy3&Y?ZCg&hKPu$nzq8Y_Uf8Ll!~}TV+h-+t5gRh?}TH0d5*uKw%tcfMC4!#90$`A zhxd6s;9wjAl2Ci?N@F~pSZQ(&X`-7$caIY8AQ4f6zMVuWF6Y-5SBe9+|KcKXW}z*_ z5@*P0-a+*K7|c5fnZCMD(h!!4HiB+Bo{+=@@6Y~$oSj5Oj{m*4-di{c3Ga=h7I~b1 zexY6l5!$}*@$U9bz|V&=QrZap7-nm-B z2Z@LbDgS$qGXL`)4{t3s(Ig)+!%$@z+$vmh4x#U;K`{5B-qi%fK$@Wp5mAY*ipm@4 zGrXn0;8ehaZ}rjvxk5@_m?u>jFJ%Aw>+FOpNwZGgV_kXHpT>pj*fIS_J-%13g3!=A zV7-HgXeco$2}La3IqX|HI(N%%<1{)b!xa@3StOli z=Erb<7l127-o72dCoP?t{GbcB{QrL4tN`5of4{?fWfBwof4(L9s7SaO|M#oG_}|6c zl0#6pVVMm&9#0sm)qRTHR_`56MZ(q@+lR3KZ;gI!PnSjIndj}fqATV<> zLhp?{ARyMa_8fc;py*_x0UROmGSGs)pH5zsZBh44->Vk10 z^|rO9awxQrlZ3dT-5Pw1vB~zFAcyrLBegF}nGzWS@Nks@Sq9~gk3b~ve}L#`;a%SNAbIjin0+RgFYnKtVMdC1Ji)8UKjv{^&D zIG*2@4|h4WkGh9ir#>e;oBQx#yjJ@Fsk=7fC!XMdZc{rBia#b{j>9)l8KB!*?UUr= zvjg_NF5+Lvdg`hKH+OS(8V(Z;b@fsUSB%GS!f<2(pwckai$zy>^~a2bNA`{#JHQ-! zc7q0Im*{qtR=V_uqQk`iOiJ-+-P?=cwpzd&urW?Og&Y(R&il4h4AL?52S4o6p zPbfM_u*`iu{P#tilA4+tURhT+4h|)s!ag42?81O{8;QX8GxsP-;4h*##ea4+ZaV{{ z_BSVSuZkyf7}X}M2hEQbzzO-GPRcyT(W6TkclikWIY+$IoSvHUS^PY()qjANwj^Nt z#I3Xanv z*!`=;A>#mcr8D8CheKw_dltA)ol4L5ve+#qxOPxXaJ|fZTt)T+2ybvix`I*zPXT;( zIa8(FEu&nI;L?7s7Nr9XfsloSFq3v**mc*hVXN7QbHlDk#u|F8$gF;GVd1P&@Gfd; zw-NcPSASt5jz0OU64sxvh)B`G9*mjV&C>I~RH9x5rj!xR$;Ac6Qd~yH4e&0`JyM~I z4GU{QCG7b5G)6S|bw3&~8ZaEM!IFiqI;aKVggji&hI5AB?%8H=aKaZ631U(wPHaN( z4WbVHwpjuHG`c@2=2Xm$AqGK}f@_29>FY<19O1mW{CeL(H}VPqM+P`}P*lpkG5%5+ zu~n2E)Dih7T<#~r?{@xG(@Z%^7>(g92igNq%jrHsg|SD9LQw7ZHCfN8J8l=o9jctM z)GagI%u%6FCY*Z z4oHLZdX2M~eJ?lXEQFv63V|g{zt-k}8Yq?Hi8fwXzNz_lvpv3kKLgwMy>^#_lL%a^TY z25sPBr~dESkyZWg_1m&^72xZYjzzkCA3o(W zRt_JBcztBmD(yXZ(D~0WJp%(EQ=IKT+q^4=B-!+SMet@EHTnzij1J|RwuVO8%P;_Z z3_V!k)}=CBT;qxG>6lEsU@~z}>Z^*1l2XcNFH9NSRDU9z-FWykN{?^?^Pi{vh)K21 zmnWk_*v0IZV?d=C9IlMm{-3oh^Ai+>SM`Fc`OYBE0I8>Q{#<=-OmRqQ@arm|7d0jD zM`fxaJf93nE+>Bj$^8}qHoh}{Z5<}hwJUE0k+gU_;c#W*M!Uq?Yw(1bRCnKy?Px2mW>^N;QWkLJr zcg&ArvZ3_;;c2p>KT&5>jw*a=2zvisk8^gQEO%32aV04=^(oB1_zRhHwKI$I@(|sG zIz-&)^_iFS?wD*M_~*#4>FPVDP|je|ceVB}K3;iA z7+CHJ341xmblw;$DK*3T2p#QyOi}HhI5*dKEswX{mteRZ9$pRRa$DpfH!CY{IvfXW zRws^}-6_h|p*Wu64E}wDvy5NAN>i4!Af5mh4_+{-=Ywz&}2!4xgk%B?Eto_pnB$1UJ z_VoigO(2dqjc~#sL`d&jMY`3+#=E;rkpHe2?y`$RnnNj!P+f8;6;lv)_&v8eC~jWj z=Ha0~SLO1hP*?va*pE^123@xQm;gf!Lr zZIB`~$GZLm?j%F=inIx9 z%^clj>idE+`Eg4>{ZRnGi4Vj{!s+;Vtm{K~y{2cP>Cl0lEerwoZj1zyfzugow=&U& zVt>rW9VaUxClcyvR6kQ)nXZ|oCsRW>sH=rSWghOu890lGd zWi2?@L_JPci$in z#vJI$xyMu^@=)uC(HwHYtH7dwo{nyGdV2c%_icn?i(kD94d?p=ZG9T#rVrqgEKS3uzD!CB6b87hwFqJ&D}Ak95Sq8EH3B9BwwZ4vO} zMIV$|7);|xC;T}mnD|QX#+A5bW0LTBN7);$v)bAL>jSo@WMmL@PPXrxqib}G9#6df zK-}&69qnhH8stahVNy&8dnNQ#$eGzeroZ=Uk6S&_2t7s?WbQ? zk;3>cQ*OKaG!4OTwl_&f5vMiokxBhwUS2$Ee_%QVZp0H1e>61-W$6pAZ!5?O7|I=~ z;Ayjd4!kxyJ0#y7na4eLgy+*5$7Swd!WJ2=Z8GV_L#E{oFjOt==V z7$xC~jXdqNqSa(b>Q7ZwRb@VP^#=xO9-f{cgCfaoP?kaE-anCTA0HA^?0NU{7$bn4aa7(TQ|D3yV?c za#2dVgRvVBu#G(njsBqbW2SPqY&P0{4$t7+vh5(2gSTMKkD{E zl3~lW!av(%b6dX#VwPdxUih%6l8mcd2y#g0PbGojXn?LRem?Q-wkfWn)iRmWrYd+c zzM5SqOp7m872y{8XCHaF)QHUum=SJ~eUnmxi0amV&6Mjr;HiVsUWV0fqqr2metr+Y zy@S+PtFbqdvYdtvmwxXi7E zH{@i)uK2%PfFc^g;c+||<)rj`W%8c=ie8rqwa-a5G|N7(f{$Dn@J!1Oe(-?Z(YX8% z>{Bso1e#Eon>&s5;fp<+5LpYbc7=GTqcL_Ev_vz*ym7FpD}9$OaWeq?+DoLy1uSJ- zfylG%6`Jv_@#Y}Y-@+tE&&8ZP9X`|RYx?o}&|y#3MHRUXG11aC$Z6e=0g>;3CD^ ziHJJQKDiIxm@ID=ZeYg^~6H)IZ5p3J<}a{k~wwzB8VI4I!+(^b8)EL{60)pTTob$g5<#hNSZ%Re4TeM%8|NVa~P??h39H(#5 zo&)j;ki6|F?i$@WP-um}bBKyAqY&nVVv3v6fJ}W5+gMWCtRVgMst8;;-#o9Qlvw%RT z89N+Urunp`sxR;X3nlOI|7q__*0Qmh7r4o;sA=`0+h#kO-nsy?JZnejjcu-w~O@* z8OpMe)WQh6mKPzJnVFnP499V>xWb567Kj$uu`J^Lqn@NQnF{+=t|6uNO#iw|oFLt# zHUA?EsO4PV_ly30UNvpUnK!mN9X@;*)eR~*mn%nmup)M_#ttRGkqb?a8EG^-WTfsC5- zz=$A;Sbdbma=p8)d{RUv%6W^A;dzi_S7u7)cM;ue&YR^`r1$UNzwc5=O9_(wmHO>w zfx{N(#}{iLXi z!Ld&X{4>pBPTf1UyhZkgaixt*BBp#mad4eSi}WNAgz<+tfT)qGmw3WHKy(5HK*GHQ zD-0%Jr;MR2F#*5cKNgC0fiSMGIX|Zm9N6?k>HuHs_seKMQ*spCzy-|o6b;R8%(*k% zEk3UquD@>dg#oIEgCjk#dUgrXUdDR#>CTNQ5w))6XEHpyt*D)&ta!pxP)UreH!|`Y zMD{euJgu$&i5L|v;pFI(cqYjOo4t0)-s{Tt?$+tG>{_0w%K#L?`>)3nvwoT8c{jkj zD**&J^t&%Q2bF}S2!W&##}_!(ZGV3~pCO#;y_(08 zA>tgu5e6})ht0nTr}&NV2ymF~_IAE*`VP4Zd>^sJ#US54xy=^&LlzV1nB@5wBk{3L zuHlK)JQzk$E5Uc~LRE`eB^tRHbtoW0UPErfqiSl+s8WEa`JqYxet`H5Jv6aj0A=AZ zChHr90>+>-a2ZhLwu3`aP$);>xW7kq1kqRCYtcUZ@%o#yM3T7~>00in{e5Blm;JnD zw3tov0Dd$8A%d(jF)>k6szpX1)=;6V>ux()%;*_4jrtG&6<8~wW38>N#mNBLCXbaW zxb*skm*Pt)XG|8j6O%szg6^N$^B1jH;7Lp_!1u%d^SuDe=UPa9UC)x5s^>dA|F5_V z|2_s1No_Z<9Qxh6>4@njLFa;ZT>mB}z;XcS+wfoCoA6uc{MWanv;czZ`uErW8S(M& zzph8LD*yFm2gK{YzWx6{{C_`;{|Aq~Vm(14c@0)@xJEX4T|5#>XU;tQGlWt4T&uW^ zTX%h%Le*;LSr5ZKVpJPk&c*KhbO>z~6%|nd0aPXo=1?1G{mOu7JSx3COTp2*6^)>nRg9f829JHN3`1DhLs zW(O*sRut?00yiNsxV^(%+uY+@87>?>F`I3nh+kh0=$K(T=?L@YL6+% zp!sx*Am_%z2?_~8jjtHKLRiH)eR+LRlQ)<%Qq+1^xjP;VSLzx}pV~d7goJVR$K_uY z7A_&9-U$l2*jM5S-7=_eFpwCB1LiP~SYxp6{ld{mrEGPs9uE&OWTi=fqVpYT;XFzV z4UNx;m`{wTFXf|2LS&utg3;%PUsqjtE>6Zh=5*>wVV4qcH0a2npk% zMXaM|bSi->ewa4o#dTd?K&t?Fi1|cRnsj3Biv}zYWL^!?Q%@bC?I+VSGDbXpJUW@< zD@yF1Jbd^=UB6T-G1Z7}_ZWT)|M6@jMfmd+tO^LT$|G`WVDmN$^F&ab+;wAxa0qZQHkhJ>>>k3e9=REGTebA09}w zNH1I#zJb`DL+DKE{oK3mvvjMw76 z-DMWDg^4yG_3!QJG0;7b&S~oDNdn*iD#RkFeDiKI6B}y7a)HkEDxFlc99A*Fe`}sZ*678EJy?%On74{CQo9vO5l!? z#(-P5bUdSAl?n6#D(-bzpdb)zg6c@!Q62=LkHUO|C<+Qu>!!)iNx=cCmsyE>9^?>i z8{z|`tE#FB6L|G8me$tm*cI76i5&#SO5+qL!*SDq_Wk~dt#gJ&E(iDTujG85pNh)i z%2bzruI1&+uRnn5e2C9R$=U*t(EwUZ;P8TinSWc5M_<31al8Qmj&cApA6Y1 z&g4Sa06+K{lKcPfN<#1II}EUBY6NhEGsSzM zGuK*m$f~L4nocL4qMhe@#7Y|KrsJL3xDc@M1W?8>v=fV=-@tZeD1s7LEEYGn?~QJ@ z@IqzSZjYV8h?@{q93>MJ{2af48SWvu6~8BFWa6T4yr!d=+9nTa0XY$}W7W7acyHhq zG)0M?QsM_-)?d|)=H9;~xS6iH#5!o(kUTH>h(#@RefRkm>w}wdxR27l1_kcElK z0AK<>?{>V7z*o?`=v)vpd<| z|4J);GWQr6xazf#&BVq^JoJce@HAA2Y>mpbdRPQArK%G##rFLtxmPSKBK3naMvYQwnGwZY792LI2D=Pfz zG^iwq;<~%NKv`pKt-c;{sJ(cX%#?Hg9uCo>KO40vEkv>+S$kA zl}?{do}NMgm(o3ee1JU=d&;MAeTS(~^;fwKb~}~lWtB!YY?pBzQC3rxVR<;ln7sj>iw$IL7Uym{7Gb|LsglB|#Rui^Y6Yl0du(kUH4{6<^FSzEX z$v|s808LNnGRb%XK@1v0AjhRh%B|l(60inZb?V;UA`lD+-R83FBpN9GU6C*`bAaUR z5qPp`SIKUEgLi_U@WC!NNa$g$8zvk61)Lrl@q4mCOkB~(`gjsFWg*NviM|v3_n{pZ z&nIDW%kj`2I=TZss{;Gm;yWhN_nI~o;Rn6dY(Y%bA1g6y`uI_msn7!-LtFmms}|ib z0!vQT!h~GR?bwYk6|FWuTf+`rgxVei4aDh`o`I+Cefyt7uDor?Z98xP0wa+6i`;|X z=vZt)&eGA>KTQUqhGML=St(vxB+4FLF^=;=j&z+B2uxZR>Fj=@9HUjYv9WP84h;4} zdei{M`ySjm`G!8ZmmTQ(CpU^-8zx4 zu^q%G=LHFM#DMK|1$6q+-Ik@GAZFy3VShu!mA=&M(U zgxSB*Bkhb!v+!v1I+qxzt7k)gK^X(@`}Lu&q3ri;sZ*yS(Y(?xKLT|U+#g>GrBSf) z&#CT?xd@QJgZp!li}33>q?h<##FgPy1fh;4;o&SXnR0PiLLsGc=Lh>mKOcYIPyuGgE%JH`mFv2KEylc zGCLzE*%~b&K}-QVhtp7k6PwcQYqvu53`IJxi0yuzsFOKp-=ynB=_BxVW|?m6h*Q9W z2K=fM^R**d=ujm(WXRx@+kNo5|K=m;97|+T3-R&c1HoxCV_pRX&gJpepovZ#py0!U zP>^^kz@tjptsCsjtpefiRuFJ|9*S*kZAIO3=kOL%VI259MDUg>^8;bq`@i2PxP5!8 zs)Z7He zRkeM?CoPGCcehS~3PKfdF=Z~83~=55MEKqbWc@CY8OR}|glCtU_H%Q;tjhz(HfXgO zXpl}XKNYL=yATloG))P2^uNd7X0z?i=cj>vIi9!vdJXe6lxeGGt4lw)Qn8OI1g7e= zpYU4~zg`$2a_*t+L8?MHJQgg=0&~9j;)eCLU*$Xn9~v9w(8bVf-m+!xTfR->Y6M;8XI+>kaDjIsv7l_nl|#f`UV;PiI*zLqFRsn9>W zxs@X;RB6#If?!VVIazC<0&`r8@Jqt@d0~-eBt^M*EvwuADQVeA76|>^ekY!B`7KB@h*^td>JP6 znA9B>$NT7E;o{;#C38yaXi(rGTpt;k7-Pz(x`t7gjFu3&5Fd2wS48Ds$cp-Y=;?#kS|bn_@J z2AxPml#xc6K*_Ez^7P=A6kXoxQS68(y)FcaUk z8bZf??%O>+^nF|h?_z$a7`Nom^a9688=EoUgMnaISrvSGyf-`{1hk+1DB1BAp}NMtt}HaL z$n!viZr`=_;@;ASrT`D27a4>Gq&vK@yDa>e?IuwxJ5LNjCAYmrgzgi7l_vAiGL(9t z!Uq?rwKb0?&7&xidrVr^hn)Sd#Vq$I()wO$LE>)mB zE8d+)Vb=l7k(6|m6-XcJJ`(FwbSATO(SVpNu)(|P@jjoVfvMNWf$%AU^NU`pxNlo% z{V*;ZCkJHub{zs?c?hI(o^zap2ZqaAX*!e_Lk-P{U6azgs7Qs+2oVejObAfyTV6Ec z0fQ7qtEa`&1})$TGN7KXTb#KPXjyjLf^)^Jo#`PVt{x@}3k$t|ds_szC(CVrd59ci z)hqjdSB8)_8ERoNd81Uc9TY?#oswI=TQx*h9#F%RY@Dy^B9YiLPLq#n-JDm%duGAV zH0Qx5LZ%yxnURRrqY6ssM25MHixmqw;~SYtOt2S;#Nh;R0E-ReWglpU(0k*Vpw|XJ zhO0{W;NIQfQM{!O=-;(xJgAPSwr#uE_4+UsV?WLTlt;6jW;JQss=yiX%103EGC;AD ze}WU4dwmnan5?mfoe4l1EEV|BmV>_M0JC+gnZ&R{TW0kXKP9?^Xb%xHKt$0+SXf#4AQuxA37#MlmneWPXvaSsE7;#r z6pe1|#@4oSbnb{^%I)ZW!n)t!q~BXP7FE%f*aU6uvo&Ig2NE%ARUoA(xC$-}R^fY^ z&|~qDvYsLeLFN(XrJ<4bA)g=z3sb=6Ld89D-Ujq*UoF+(DekO zX8g*YqznXSxcLz)r)7PKlGs)x=LQpFmm~q7)}3W3n21>(Ed@0YI=dNMy9{Mcb)RvoSDKPX$Bg5PNO$ z3*b8IxNGfLB^o!>%w%ityZqtSnY?@tMf7-fK7NFDnr)(cIlck~YC~!dAiDSz?&qj< zkikk2dGZ-L57*phkBf*PT0?Xvh+UsO+K_&5_ENEg0a99!R$;}Fk(ZvPZrdaGS(tr8 z(;O40#bvRe`}ZHG$eQRvIM}L*Y)KG)HbrJ!Gp#;Mu8Y{F+H7wps*!|#W}dRX@)TOc-=EH-PlAqzm^dS&H%G1UAcga9 zs+fCJPvFcbknifYdFZ97;GrI|#=AX+4v!F#=%FgGal3vkUG#eTd*eIRZMYjoI@Opy>w!BB=O5Bf%2 zlW7ES34OwNZZ`#r1o_?B**L$_TwJ#TiG`TJ+aRh7BfIWpJ|41Djp_>!iFUxSMU`Q{ zeNEthQ01R2j!GMaLyVAV71%y>iZyTVNNRxHaGKESSc1JGgu3>K8~ptIQc|8kWY7ya zd`=9?I(qu_2NZw3m`V!^%^9z2<5YmGFa9|8jWhEon_I!B=!utLIOGQ}U!K+D$)W>g zHhuswF3^CoB4Q&K{R8*U))gm)8zp^6D~hpq<;c3HP7$_-d}>hz)*z+9l~%11kzlpq$tk-Tr@9$^0!jP7M9U_LEYjqKZx=Mc{NHoI6N%u?Nm0t zUCK__j6*uw73+5?c|`KaEo9}g>~xLvbm;p4tkOZ&^d5kV|1eMZIOO3)Nwlz1w*MgJ}SB*!au9-$uCrR%b26>g0X4^hH~~4SJxbq4Mwi>LSll zn3LmzP+k?zyWAdA_~uPcnIMeqpx|^G6>Wo#P(?+hTjuGh6UT3xQ48g4Fu9BJ7&VhN z$9QjX!JP~Kn`4QSB3AUm&u=5U8bK(byu0J~d%H?N-eUB?Q7Jbj-(c1Enk?N~e2nbU zmjeaqdod#=#PllTb=;h_jhvr7eEl@IQh~>bB|h& z0IokEguESk;OHN}ck7qN#t`gz;Gxmw*mr*-4Dp!uKIwiqvy<=hoFk$xW4sda9; zriO+G$JIq64Nh8OuO3g+aDsgF`>B6OZ=ne$n)Ny~x>Kw*Rihh;N>Bq%ucu>$_z!K}B#BXd zO3Rv-!Plpmru7{nRY+q$kgfnco*;9C+JH2`4`L=R+7G3m-jx9dJG)}|p6giU<`(VB z>m;q3ZU_qmn`27U~Ky!s0mKaS1O&3 zW@fYq?#2TCtapz7Y`Qd%OfACNIR;L z9t6YB1l7KKmsonK^yk?y%!2Vh`2eI;RGjK@AdvV!-NK+_t|%KBu_|0Rj%l8Zj12Nm z0P>KHy3M{%ei#w)7n6i_5JYan-C{WW#0`?|O;YAM57n!=dBQH<53Ao*ubXXNvq~ED z7h9u4Y0`R9oaD@gl@q|bg^o!V(0XqbfI`NN_N0h4`w2$=`r zB-Jgv%a4(z!o#Nbm2G8B&8=%*r_Y`>zp=;jkPz%bdbxg!@*O;Q5XB?dB^q`S^$=CS zBR?-fnaew2>NE!cK}uSh_7iqO=us3BgEK0QYAhK$<1X)@JgGyv+k`6k_k*%K>U4{Y zG#E8`awDl7M0!KcA-Ye%Vq+m$9x+AW8j<@7;eV&~(Y)xG7~pWnbr$F6?L;5@Uh$Ch z$a%+z>heB$B}{MiVzn6@^1?{i^APtBf# z@cnSoYz@_ zDJc@gk1fX48@&-{e0<8n!?jIJ_Vss8QT555qCCG^`J*O1BjemcL(lm5IOtUDQMa?R zV=R4{o$U+^fz{|{0;7RFX(-+;A>}Drgy2AUfm2dkL1=29CfvgSJHrmm=5+d_zAjNCQCJ4$>*s^vLZP z+DqG~?Dv9CUOqPIQ5=S~QB6z);UQ?>mTzey8eRE^c&~48VZbTu=fHfLd{~CuubF=9 z&DPe|Pdm1ge(rSotes{B*sLGbC7Oxqja5Rj^qq+M{(f|IOWZ}ccUro-?yqi5PfvT3 ztwHch>(f7sj;^CC*tB``HusC2u@Xm)tYR^=gM$N{4TzNhXo^M$1{BF~H~<;@G&6pK z>0%msX;@uxL@QkPi3!q>dOb?omw4Lmqm?ATUY4S1TB#R%i6@0uz?XNZKCKSx;R!nZ zAeO|{eg3S$(FH~vwJ6^CNiy03WM6k{o_4O+ourd6Lr7tSf!voa=SAC(U+=Ks)o>su z)e=zB7=n)MpP=osCzE1gVv35ScqcraTp)44%gWYzkKbw4AxQ=0-K6mgY!YR^vfL4J-B{P@u$>QC4b+$#SW)-E|4;>>rE#IZTMBmBb>N>x)6~PCQgiMPE_4nPt1S$=nwmqSqq@4fgbE;l`Zo|<)Aurxk_36bU1TKT;5(*R(+93JX>O_5y_H8?&|CDT#rAHDo9^F zMH=(;@arF$A4gE{G?>SJKL1nwwBt2foyz!trf9^cYOGKt_w>%tn&ec^krpnURwr*|bE8o6%v$d6l47+z@;+zo< z2JR=Go&8}^4kPiZDcsnr-*mpkr{c*3nx1`JuKuETB^)EJdc6S%#=ku^<0Uf(?7;2#aBeY^> z#n6_eX4UuhKAm!Lckd|aGDNl)vix#ZuoQhv;xc_~fD`hBK@ZIigKO8W0inYec5AzL zY<|;(ALya6j9TZ=B(UBMG^aTqVvIO|PJgc_$5j+WVnu|~Ql{_SyKne#-ZH97`s(WO z%iF!fh==7B97h?b`a-^*j)Ld-U+B}UqaC1iYO@3Fv+k&=7*EO9% zF-8;X-PhXs6Unv82pUw=8)`U0-QJIeFE0$R!hdoXMitf1&*SvX)>~OyQ@W#tyXO!m zW~UP~3Sken@8rLJJu4B7`hwDZ+uL(c&tGs@c!Wxw_2HSMNt!=U+4UOjUJ5@ap5kpX zf|`Tg5xA*zx4h4)M}X$|#6$qE7K%+|VfuSCTk;tkM}yhWXuV!3wGZDx6BQFvY^S)i zTrm_U2w-V2NA{i$hzYSGKG(HX&%qN2bPSBEUphMp-4c!!3?9_<+OdEVg!xOgoqr}( zunLRYv@yJ#>+n$Sp0cH{l>E~af?X(e^un47Of0H9O)aV=|3F0G{e1!jDBxIITiY^J z?}U6HG$7yv{1alhZRK+~9@p!iq0J}_WhgTA`8{XJIG_=L>KYP$_c7~#{r4|*h8%A& z$y$|xK&P*#M@?A5U%Z%H)z{V41)@0HwH!>;V8*$7X|;s*n6xI51vOmWdjzLwRz!fb zUe?M>_&_#4s1(t_06xUH5FaluKv;9i4lEu&ckW)*;i}Vh%;M>o?3BIr4V>Q6mBv## zaQ>>8SAJL*%8&;z6duZ5#WcZY%4EPhYJK$`1F)hyOw7m%c2A6t^XzSyUah@zDJfWw zPiI<%UiRAZqv|%mt~VJAHXgqn%3wohY)16+K#q?bIf6Q!IC$LJ@HPO9m0TKlj;%!I zNDfEXhfawz9CN>Z!Ku<)7uUCb#m3IAyQe4Z5(m{jEERu;N}qSK^vV>oS3-79&N5Ka z--}JxDUS#5l=cs0xYizZQahM#YrLR=@E@l@Md1`BiGrIflR`Imh{HcO;_YgujyhYfKm0-~zBFoLRH+#2fa?oJe*FjCXfYQVch zCgNT~5cfNn{TH+<*;UZtKm?fh!3YzKB9?XZI_(^=?k9}i0Jj-DQ6igV7hYdqL-0Y= zf;2$JYccH(eI-7EwO|q`5d@JcBiRzzX}iYI2E zuFolPmN#Ji*ovygyWDc5-y_V+YZ$-YR%wi4*a%SpJV47O3IycMh|2$aEBt%B<6cQ4G zj|K$Tg^1AxZf*ZaRNui+CZ4*sy0rS z0MX9N&wugqrJXY|LINwWK-krrf@?}yZvnucqqqqG2OKX_ujFlhi>#++U~q6Q5RynKA`4NXhpQOp)-^K5khnp*O^4bQ7fYXB}0G)bJE1rdi0#|BaKzKzIOlm zY69a+tR~4inoLZr0#{9;0=t9><$Umx;FdxEye?#AdX4V?)~zksdJUr)8!n+y!?2bf zN*fp;BI0A=20f-5b*Y)3AfiOD^X}WX57>k5W0)NAJ&U^X_M1)iQC(&h7WmTyzJhFI zX*53Ws$PQa>z}z2kTzQ$HbpT63?p%Q0Gga^;aFH0Gi9=UadER~n2aritP z4teqwQ#j~Pa(AhRD`m>O*`Q>BMa$B>sw~+ zgrwW0+x{$v-Rts$iDTecLHQqkwNYrZtVM}k$Zl>b$y(8IahVT7R9vx( zZZq$zsavTjDV?=-D7f`ptVpB;ODCs~bLWgouZEv0o-V=S8;k}1;Jm=<0`&!ACe0@d zhXnk#>UxcD5EKC-0{XXc79^40(h@a2%I?)q1@pM4K}yB9FQK&|-BRkm8itn&el#|a z@PzyRJ$ZS6=rJG(3WTGB{gWFOJLu8gai7ybjK^jj1Xn!GmQ_CD7m`yf_{D{{h4hPSYw@OVH-#%+zBmCHMQu`Q~h$vqj25d%18(zQ0 z>L-<0+25OWsekSk>GY$KM&pMuC-CWb{|@%{ZV{7cd&r2ORC;qSIu2TL7hV1SS7VRZ4PSfCYE z0l>~wHXTq>QXaF<($gK#2|w1}L8{m{i2?)iJ3mgV>9Ko}M}s`Btx|?Lad+w_?~oqAo8k_EJ&`MDI5~1pEU|==S#ZxG zi}8{iKoq{p$jC1!AS6P&`vVU^2nneHj~Eo02(DVn-fR=nRP|&c9P=#8#X5Yd!C2*->$d#fB*C4`-1oz z|M_}$xMeznbXgSUblH0Lws)>?LyTy|iLI-<6WELg%Onkqhl4g)c;_xsMOIL?*q9`avbDu39Y?0NgE UlKCv04oRfbC(e;Gj+xy2Us281)c^nh literal 0 HcmV?d00001 diff --git a/docs/noisy-xor-architecture.png b/docs/noisy-xor-architecture.png index 1f4ec5eb36676282eaf4e9fcb74941a779c4b534..257ecf87beec1176fe75eb75ff24d83d0d3ef45c 100644 GIT binary patch literal 34875 zcmeEucUY6lw=Oo=R<;5nBA_7BL5d(lVTCsIRz5Ebbq z(k1j>L+B7f;7(9~?VjU4|J~<4&*4v!d^59V&06nz-!9djfyUv1sz<l7beEcholCfp>h zv?)=x!KD|T9S9+P+^~19IH+}IJ5W$SGvDa@G;j1xJPPN4vuW~|hb9^k+#SA8Qx*|F z%2q9L&(?N#sL;Azd%ES#Y7MT`sZss@aCMSVzS;V4}jI*Ws_y)j^JpHRj1=k7G|73qzlEj?|M7@|#VaLEp1o(QL(T zMexQJ4Yr)s>`RJ=cux0CcXXu)nCDE^Jj+GK3mOh1EOU1`_2{n{BaBMyqi_%ES?20( zTf4M)yfS#EG?@?ogszXF|%J`dzoF(3FlP z;Z^aCYQGWfa4&}qcQ2PAM4zN&4gH2BSZk_YR?hK>;5Y$uIMQ!@&UxZc+5Ntohp10% zi3$l3B*HKIdYKmgy*A_Rf4@m6Z@aL~g^TIR?T|8Dsa@wS^9o~ zX|7;U01fE^u+<0^8CT*k-u#7md^R&>C@v)ho1)qhQ{x-f<}mAkv5;Q~(Y8T7w()lv z7A-T%c0}i35GNR7RHsYC)>q42=K@U^@AREw%_}p^{jjU^eY#2AMcH;Lm*zr17ZQOO zu&0+XsX!xG%h9PHx3}~1^2qnHDDIebz0}>!ZPxk8Iusd8sAn_dV(?Lwz*&xtm>Un^G%v)_bCk}B5@A(Bv8> z4Q?|-;CsgDEuSY?q^v|H84bq0%kHEc0^{gqsKxRkgiJo(kv{U!FxN7^Lx1~hhe^1EMk2A+QxLT7}k%LE5E4u zNQ%aXij$6r-ab~L8tStoyL(xLyBKY>;5txN1Va3e9qkzz9+cS`3>ob2D-iI z$&*GcHYv_&b(LcMF;P*j!7bC8Yin?k zwa88R+_}}pyBnREJExUv&Nu{-R6)H+7Ev~#GSI_%d|(1 zCaav95y7r44zC89_N2<5@+oIy=;01f1T#xUZ9-xonTet*x{s;noSFQ-J5(FbBMAN; zPj$cFnH$<{@NoS0Ab!(kit@1AtjEsCL|pi0GgPrT+mDI0If)xjUnQjP%n|4B&0Lz! zkB1uZ*_b}w*lOeond{P(Z}?WDm7bK~oG7-(lK$~?SJKMDu^hw9A?$xlZvINuPJ?_= zo`Qek&bED1Yx5}9B-pAa-!c~-Lm31s&)0-C4r&IEE1kQBd$dDTBu{;z z;S05Xyt}5hcD)?s8SklnnoC*t@kSF<^Ebs)Y)8K-NLn*V=_rGRH4>XXQBr864E<#v zR>{=nbDSq}e0Kbbw2}drZ_rGJ+00O7^r}iinXZFxQN4QhV=tM~-z)f2KD_iS;_ysr zV&Msv)HNxdX}&}MHgW41F?$5~PAU|LbZ0-yhFJtBr*| zH=akae8wH09vzx=Q~Mu95=kX5FY)!c?$F)sc_Gw`r?hNZzP`R)D0e#)59j|Vm?j3R z3k~lrRuZ&e7;;(Z#-R6byK6lQBk91)j^p}qzX^$2?dd8JX>JLzu}Xp4YwyfT9U1bk zId(ly_Ft4F+VGr4!-VesP4IPl<LY9V2`$bL?*NOK@MnT2^?x zV+-2Rg`29~BJ`{OT^dSc_hQd&Y0)?@<8#${up)LSaMKd!gg}Rc5VA9qc`^K)X`Az$ zf0tOaK4&0Ji*47Y5@1*IV7QVO+Z%YNz%oWV*wgHPPnQ1{=PqTAL>oE}lo)1ke9rq=O%Q$L1xH25@6)TKS=ODnp-#FF9*n=u{hwZDr;&{e z^=2(mZk)2jiRd_+q;^R|A69(li}b%4cX_sG~qvJZ^}F z)#st##)7FJo8QbOUkRSit62?4E2>{6^lJXz&!ner;nkb!I{e38aMi)Dayd`8B~1># zzqJN`gDoW~?G69!?=RuQo3@Yiu`X7VT$-AiL_(ZRrA+(?-KWBKF$upvDqbyW&dfIC z;QMUNaRTXc-MQxSsn0;UEFpa=Xm}>znZ5DXr=F*OZ?itJp56DF`r`2r+qOi>9@-gj z@cj13o0GOGqXgz8VOgnh!FKt|C%^Te)cbx8T*`YXi6axy+GX(D-gum$iyQrJa;aDl zyEA`tE?XFJaX$wMU5?tgfigMz`)O&sb;Lx6^2%gvYT+&23jgN$uPt%{^#pU4VurkM z+7niscYd4euD;2ZRi}I#vMWQ7!Y{f#uKE3B&NO!I7Uc6uWPzX9#%%bZX0HC;H*ZPV z566b;?w25+uD|T8zQV}zH?>2YUU|B48+GodzY+AsahFnR5ZoQ&hC`-PVJ$T9qN)Xbm1xAGsYrNa$M2lh>7 zaxlD9-br+Vn&$ULyET&@cvJA$kDbx;QSpCm;X(C#fBy@G6P-wVxNm0uC;cUx%}T!+ z0%^MYqzImR|yG`rX(%VS-F5)5eV? zVwRWl?s&f?GOns_sx`r3vME*!zO&UTU{+$1yV;DTOzlBpO)0FY_Dp1b z9%2+w5;jY*UTi3P(f@wG*t-gJeT?qHyMsOq$u@Amg?NF9>@_#GZRYYC^o)OlQr|X`|-v$Ti4bv4~)m-NhBz94AJ-pyP6B zYHT#kUGhHh(7GyL)_^ja+|SWCN??t@A1!)YIv=%}(;O}`%cU(p)sP=P*TckPcjzn` z5cZpu(BrT$(YEW>fws0&Np9DvZp?M{tkCQb-O9@C4cXwRjkRgm?{q&uq%%#P}#l0lFKr83x6#2H+*1;^w za_}C#ZE>L)7b7&GHGstM{^WzVaclqGC?58MbF~S6$<8si<^7uOvXpi6@>l7#opURY zTK-Dct8-(fE1NE;Y?EE`GS$Uvb&f*ul*g<8c>E1UJUhysLs@k-r*oK9C87l#|MVr> z9ZAQwt8dA>hsV7j(f?H;BeNjp)U_1hOFL*ye_MY0tFwgOW2w^NDAA{hi~t~!7?1qL zBx-vf3pR=W*H$&t|zhk#1m8${RFr z?3Sv!ItiRqPkQ?5?K!@V4DX~wIw~F4Ex$Vfc;vmP`i%WEpn6r?|AR#dNS?l*?S{^) zXC`_dw3)Wm_fwX_w>wHmW!D!P9jM+|Y@S&;z}V3jSkWHE#dgz^xvR`AACi0C(udq9 zwweB-j*Q}w7ymC9rW!3}KPe)4wMw{G@U_;ggG2vB*d@DW3fs%Q)L8BjHOvd_Vvy)m z646jA68URZpHd26UuJX$<(rH20|WUSw7w?JGa@P9_(6)VQfQZ#~-N&jKXRI#y)(lm51No!%K{rgnhzY~G5_#vB=T}@g! z;b(pp-{Q@XlF#QP2A()}XWNmHh6x*8=;>H7x1F128+}*CozNF4+#)ynz_Va#>}ATj z!!9ro101iR-kq2bo^=A{_MKN%1$b^o=TBhel_SwB@s`;vn|I^?W7N2zUb)@q0`xlE z@mrSa0-=?+!uga;OOaADIeSs-WN6tn9ExWh<4!L?zW3M_>T*6X;Nt1@>;Gwo>&le| zf{RqX8r$cAfnHyhuum$#UiB}iFqp8jVea0VOJOrd&>hl#E9xc91+CesAEi8H=g*v% z^O8gF>>}#$-<6ts+rLHWXIW>8a!X4;J1@}}uB>fpHP9wNVO?*`p1e*k=5qy{yi}_b zou?v0rEjoC??;d;jmfxD0LCsU0oxy$4wQ-V8y@KN%Uy-jAm1NH$cNfik>0yXZ)CMS z)9XF1Ez*N#|5*t7;Mjr;#O}XN8;>wHNLSWY(CK?QLfAb0viOGZny1dIFK3Q8EK!)L68YqmY8tl`%)X$=g zmkv-dj0ZaVqskBc+8W6%jeaA+56^Ww2I7X_28={G=jXYtx^at&a_EVl?=CH9<%11> zR1I|Od>31|$UrO%ZK(l7b@EyQjNUS!aERc>QCq0Xp_C-WGuJ0NW@^VHHSwp?kt0!f zi{~^abk<0OsX)pxijveB;zb{a?7cmUSw|N_SW^PY%w}74X4Zoz|I?Z~U$yFDE=er> z+C-C6PaO%7p*&VGVo0>jR;iJetl+$rCEUJ^hAs>H31Yx0A8{;~@mwuqMz8l$)Cdm} zW-R7*?|n;|L;B3RoYKVaOW5cjkUa)!tWohL$KJP)P1u3U#v7a z4b(q3;iLbs(sdKkBMS{sjiCfmd{M5Q)OFhprkgsYZ=V?CLNw1~CPvddV<5wyRf01U zkRp3HZIbs-)RB|Ps;7=pam#Bv2*rh}UW`!P59`ee6&p180yo8D=QvxP zY2}yiNR2!fualAv*tU!@=IpI_N(l3=Gj-xdS3iz8tlbFH9;)cJ5Q+#QXUq^Vt)3DS zKpptxpAoNZ);;>1E)RpCQN|Ya*vjm^@O;G!2}QOGw#uv$2VaHBX+=KQy+Gy%dH#gt zFINv(YK$+>yLNiM@gEav9LMEOTJ29qTYB$Sjy|T$Q-lu{&T>76EyM1;xsvzdGwt-X zZQ5TV0yuX4#I@vY6#rwbdHCs8U*hq3Gj!`)f+ot>aAt0|#vbR+){z%4m#(n+GTm>T zSvSe=q?&AHaX&>Zc-X=G;8)lq+UHwxGDcq#5OB^_W{t1D*I(uw6LmK!hKE7QA-HZpYNj%o?*@D=Us4>gcS{Z1xh!G8#P3jouBur@9&vAU>tSs_W6I z8S<3Ycx@Fs<@{Y@I4tpd6CcbjZa-M$caXN5!egQnRHiocoW_BFw3Q0`kutWFwbwOjwCbOik_X;E}^k;~nukJF8fOV%t^$w>r01 zxt5509tnd#LBdjim&UU(OOK4g>%2D7nA_f!tclHwgT188G1#ex8)p-r_Qk%DtL*Ld z_9}c=b`%~_?dY-^++I(6MmXec!ivqaEnzaOr7ErTZu$pPr=1)`m27kG8hUAEx2}S5 zqF!Ky`dEgHxrRmG0$+g+@hi)NcWLN6^6~@vHc%1GMur^%_L>{0*7s^3h%TJ z#J|Ww<7rq}7~==+l-&rKtK^1UM75e`g7_rTH?!#k-q)=#7&s%}DHi#MT63=aveiop z*5)n#$>(p7N(SjNdZCg04vKh? zN1t6nmRk40xxn>LY1ejT5W6Ui2(5t6<>XMp?k!(m!&#j9qG*|~0!0m?7+A9Q2Ex`2N{dtbC?!y0Y`2 zXRqa64ivL%zAY^A>hb&A40vki>Ve41jBEi*pNEbW1P=gTDCvdxhesVUq7tmK2*85` z_EU7aWZE&Xft6>lxyKDSCwKC54*HBtuIjPSj(PR4w5hTk)1ifh3+J!j*JwAZr_;_v zZ#bx9(L~Gk^Nd3^FD2iIh!)#}K8*95<41l)zX^J~MAxUW-hj8x_9hIK-0u_drBfLp z@H{(wN5!DqX0uP+8Mjm9x9*72_I)K_UiJ<2oNVEd30{D9shPOJ^Pp>~QmiU_db$fk28&JS|bG~mI5Aac8O5Y5RwZJ^J7=WvpR=W_^H!Tz>@F*$B)BC)n zQOmd#vMfRqXO|Q4%0wN=?uQ2qru^&Zq|f z|Jrhjoeid*)&Cn{*EQ#R@}nh?CwJulnrUKBIu1j+48q6RXC=<^o7?~d`W8arF*VD? z9fpYm_*S>V#0!R?Utk^V)uVv&>W5HWLRWU@aK)P36&m$NoV;#&xdy^&Zy6~fuT

iU6K99b)Rv2t`J5CHqo{VqU{c2<6Vom(Z zsB$qU%Sb>eCGcs-ygt~}Bg0#3LUR&JL0xW`L;1#TMAtgN@@wKxNr{XWV<2MNJ__v0 zu4~0Wx4t@|V*@;s`n;&^2^RR)XwR^MpPv+q_kgRIL&xR*;oX)^p=XCv`M2?vglc(W z;Zohmm^s>S9TO`H^V~J5#8~7}S$ZrFZhg0oa2_wdNIC+4viTRC)^{Bpou#MAm()+i z9t`MXuMW`7p(Fu2gipwM2`BrcSwH02O1(kq(tJ82mZ0tSo*?W(AaD3<$(W~M=qEVV z4xHbsYLG$e$UaK&03g^Z76FXhlTU;?7$hi*|NK>&j7MefSJd6R})|IKvw!J-% znAGGuJe+yq%)^eXq}bT?XV9Szi?iO~;B9~}p#^F9xlWeK=Qd0y;O}7HUUMq2A1Ggz z-(GHCnQWe|XA6p<9rWB1MsMJpJjTN%Tw1Z%J@fc=l^FDs_&!6Wg1|(_GG$fwem)rH zJ8xCMEc@>2P6U_kvzIg`+I5-h3o#GOhssoP2lI>{PEwXT@N2p8kdUe;lG5h7NS7(E zIItJB@pgAW1bU*|l^Xaf!DJQr%;zJsV8hj2AMYy86BPCYHR7RgNlVvShMh%?4vbSr zs8BUGCU0OVu=&yf?(keG&$+eIffqY}VD$2vC)s#Qi>08cN&Jk?BM%3?`kjO2wlJME zq$>>MBVBwexf9@+o9Cy*EE;bFJVlDhePiWkYzE}zK-sv%GyVAuf3Cb`zRDdF0;_j| zD=8Ev6Hh@n^N=VuBoOT>;dB|jNuT5ym$up_imbIjo9WiSjIw6Q=rum4bP~r!0p%Mp zLs&b_G)f)S!)Lxk?&#ANCJZq`rmkWNcwoen&IGg@69Ak;PNuE#vGn*=!2(aIP8R#B!~t58|ZPX`NM`1@*d%Zno_$N zQ6LZ?<(r)$QTsL4E6&#W-PMRRlskhg@qHSt+*PE%=009C^dq*ka(PN32js5#qg`Uo7ze(ev43 z$2S-9!g{9sG5d7cci&7uvH9vtb}3tTJXp9=G*v_ zZiN>>C_1hcI z7Rul`^QWY5cd9~2UAVr-E-|3-`R(P{%~6K*2sTQcgPbhB=DpzY)bmOYz^Ni-BvnfC zU*JOvv&{yvbmth|1_ii>DN=uS-nTQX|2pSBS~W2BnC(#73&>%QcYbE~O7Wo1dAGe~ zS()eyBC3!cRw2emc#p0RZgI}(?}dSMg)2s1E6|r@7gX{I^Dn&ldVa+7^6b zE~TuS!Yz4MHeVfjdLf5j$L|qi6e)s0IaR7xZ}w{o2J2;~v%_?U1bc|Z6~p%0-K_7} zYd29_%(o=ajGH;SB25$-*PiS@EC!S|l|>#S_ulm+Jnyu>%%-^W(H~-zs9Fs*<8tHe-Ro zkDUic2qg5#pC*@1eX&8q;Oiv#UD&eZnS(iR@tR1V>t0ZnSFt#ki$EPa0}8PMG6SMf zX=9+;&O`|bsga6#!$dqmmx3lfy#D5|?>|nEMBQ zMdzG1blG@_zX_AEPy?dN*n50(KQ{j?WHT=PG`#nxT3qG?`}a#3u|wx}co(H{Dw9vS z;~naoYcKzcg7K!dcy}`;4YMcS+efGlt-|s3qOVZe&cJNcjdpG(X%kfYBvD=Xg&{Hc z6my;P`(|UZB1fIT$0ipeBXO2t6b*XkGpr8(YkopO;_-w~L?;Q(iK$=~lBbru)9{m} z;XaAl+hPUPKk86&dol;(=TkhnYdsx;-GV(+AC5t6?NJeYgcX?2i7drLgM>*?{qDb$&L@fU;Kn$x7UCXdu^b0_w3r zWaLY1)1>P6<{n z#Hc_FiMq6JM}D-hiVTsTCGe(klTg-K5=s4|BmAA=bG87hm&>J)tJ~Kp_&V>og&(a; zDQ$RlMoMA6$RyA_E@lAbdbBInv2 zf%|NQ7ISHr<7V`J_)l681b(+wTP5UB6Xq7T6!D&tsBO&d+3DBAL5P{pGz_Kpv$=(| z+XFX!r@tCe5Q|UcTHOTl>Z+$d+nbNCsRyOo{5XA9f;a6!2^-e$_ajO1pbL=_!$YK- z*5)=%5egvYHweP_$li0f(%e|r@w)JAJ8ZJ_T3V>!EAMEL9r7fo$A2YP{>KM!cim23 zR#MIIezU=WCw>XuVy-QW*x&=~-9L2+xb5=$9W|l&p%O7A6e>zoGR40j?Z6@Wljq;h zH1RQb5(=_Ri*FaUv>15wn1&c3#0kxs`yonR4FTQn_XJ!(WYYcqGR-|1$>s`+@s14j z$tkr*|CTh1PHeen);9nnRysmMNbV;YP=YYkm1%GFadl@tl*zv|2!Qj8)0Q{%Ag_m* zmGbgNDt*Z0!v*c#KDxW@wCaSu14=CbL8$T36buzJ^ia`jb#pkV6SPOE`V-I+pk>I= z#p?ov`TD1i>1BOj?+p={b(2b6DTn$eSnvaIL~KQ|X}(|{`Ojk z-0t-iC?YX0ho90=`>RK2K>(e}>dGzaVLAMsY(M8SUac3!_81_WNIDtPLUGr7RXQ_p ztzux}`oBlHj0bPM-dP-uJq2Bj7jll_2f{{3L>neTuzFTTYPzY@q2aZ87=D2qO-Q}c z>it2S#f+)H>IbE}({k|N+G{@zb(lk@Wj!KXq1orqP@NM$SiXN*tIsX}aLQOI3M4yc zYt%b>3WtmZ63RG@4=8TFfg;DW->zCBnUb2+)U}Jt-mPsPgWEp(x0c#Fu-RHZbn@dL zqx5ilRR2uTA_D3LW8%*86nEq(=A@7zd1D=O;_^pG!D1qCOwM$N0!8F~^es z#~}W@-Glk$m(W@?$gTDb-_5h|@AC6YVmfO40w!PMi-=UU?RW z3v`t#Axc_;WgHYhmE`A9vQbGspWSA-l=$H=Ixbid%LEo4ty^E>;04S&_V-%{|P z@tbr!ur)>f=wB|W$tN!YxztSDcn z*)*t$5X(h7ua&0mQqa!)bPAtYl}Wofj0acNI?&ek`d!vtMWr9C<9;YatceezpR9Yw zCM7AdNGB=aX~V0UpX^^F$%H&klV9aS$FHHohX8#t4zIeiUxbX!*!cow=>N)iJl73K zWnjznjY*Z_<}QCyAf`GW+O*HK2Qco6;r}|b>ALWc3NHb;Quv@h43LVZ0STV-^qz|r zRX@t$R%dINY4y~Ue`t@^^^9kwamJh&d-;BA0@;473K@>reAQlm43MVQN*0xOq|lPP zg>IzvDu=qj4EBGey#Ij|jyx_^oM2x%jBtpE4m}8L=bX2;SPFHo08(N|OH0eg9)Czb z$K50Wyi_$LlC8KwW?@M*bh>IRYa#6Z6CLpQ==+yj98Mnb!*ip!DNJ{r z8qD{rr(fU^5QW>`UgIF?k+(x!(1yAQNQK9Hl^*2?qnHHqD$KI;REsd71{^c4+Y~x) zdxeBKi`TaPfHo@`3Ra>UnZ|9#hWuc; z{-YucOaBm($oX2n_jpzPBF>W{ft{jgCTg&eeTY)eR!izw=&PN#OJXo>Zs8w-FQP)= zdxKT9LQH{qV4N(JL%=LW*;1O9pnXx5Q_uDB6?EJtz4+m+u>a0wnCh8uD7Vu-A=)MQ z39AbfPRKun^!DO?1PT_k5W?v~Orc{MXC3{^@ za&62$ij*zh%3mnVkHApS-Zet=@n7>IF0=xb zH*er&a?#gvAt8!f`6w`BGwh{`8544_SklsegQ+Koh>cHyzby@1iF{;`Yxb_ROr7i} zHd&xh7x-@(Db{0EGBw$D+7br_RggEKOri!XH(2CcLMW$!!s?d}LU z<+~O?J&IJCUFQVhmSYS0<@JTaz3Ip0QAZ?$z|;W8Q$wPEY+*e9y*)e0lmX$i8wD``I^! zh${e|`iiau(NN0`Jk>mA=u-_a)R_zk`hVr^80hLvh^J6HV}GsdN?1DOyDvLiAPVp) zqp>TSXI7siF@h_o#g7ht2|jYXY`()BM+l)h*AUo1LFBhJ%Qm!~PofU^yt;sA!{OW> zgMK%c&<FUv4ka>WukZ5`0N9UOFLJA*Tv&bXvN zby~OmL4pUw=moy9BG(8rqFZA)behg=dAm)zySQMI57XvC^nXG8(q_n&_~47%D#{ zNJyAXCkF}y#GpY+ClUjEfd(|u*MY#!Jo$hs=E*?(zDIRc<>D_gKFSfV z>Dt6W?~u1*FSfdkYv=VddHq%zzn12khpKUc6D>sH-MG>3K5@Tfa8&{7>pf1)kHtLH zn*}Qft?(vPw@1{*v#m-_C$7Ru9lIeDrW5-Er%(pA&C4ZQCh+t;+VoZEH_c-LiP1Vk z0-+|@?POA4^wIB8Y22GPx+Qf+0$Eo1Ky3w(a5*N!G83urxB>TGwU#0X*Me9d(!qR; z0vN0_HmkJi+ZB7)1&UysEtPMOCSjy+_#w8;aE{elVG(MIp|iOnLLg`?rr%iJDKEU1koo)+X3XG$O!pqjugsN5X`Ltb% z9!9fd9bZEgdBSav;!&@cRq+{Ct=Ng2+bOLUQWJ77O0GQIP&ehkL+JSe4_QFon?oIrg7YW^ua6G(4Fzuej`0_qi%K1oJ z!+lZ0O{YP)%St=s^4UoPqPWL&62`}rb=~!2hR$Ro0yUI2qL*=l<7La(d_IGFdt-RT z5~6E=^r)k=cVQhHktvIPvoYRE=8CJk8pV;}a!#+7d0j-tVj;#^Ny*7@PtadCB*4wR zrKuF*ifD+))=HA%b8~YmFud--aQid`M!sH_cGfSPGCo#{&1ndeuFX%$B%3NV-So$w zz|-Ku%KNus8E}eYyZ86oYh5jdVn65Ogi7jj8v6T!zHK~raVj92`=dh^`jHM2IZd)3 zi2G~%&@u_Ka&$?(116+E_@u!^z`@4`_fp28W#SIzDoEqAV3nO)9sW(TjNfXFha64Q zjaZ!UBQ+61X4b{-Zu#p}@sQnyE;amhhCXfToCf(0qX?Jj>6~ufmBc#vnk~PyomFX5 z!A_UX4Z8W_(on+*Ie(|U_A-rfrCQ;T^b|_9o~k#(XtO2qE`X>?C36VW4m>V$y9%E$ z8Z?g{gDd;fV7<#3n>NmS>W(^!z+LR`g|a zrO1deO#20C6;Oh-5-0Y^t9+cx{Kir2dZqw-W!{?Ae4|o2T~B@!TKj5dZ?n6a0U18( zeeuLuCoOB>nBhX`N#Rc!$R{Bd$AqO_!uO(NH!SM*BEJwmg%oCn1Ypf@PkEOO`2=Y+ zOH6frgGhR$7i#?I9nmDL?w36()^Td*%yRk6VBHJ&mBGxE)Mezb6*^7Ya8!qT4%r2Oi2W{1jTa zB)wzQgB_=AE^-pPW_$0R4ib{&&=ay;=Y?rxs-Lv%Gia~QIU^)|76V(&<%8yag zs*;Ixq_SR6y0d|~K)AY2FnyTDK&}e5D&KZ^HvP#(DvDAtHZ^YidBYPc>gDzqU zaAbn|(aPwwpH{im()c2;)LysBYiqO?B=2h@LFXo+ZCi%de3Sn=XY3H98yl2-7zFs) z6~n!63!J%4cs{lrioQYNz8U_)7JrUc8pxT9UWhr25oyLc(JJk=fbGVlELB>x=|;W! zltLTV&_R0Wl^wEx2uMBz=VBg)m6rFv2V1N!>{T|kRwCv&>;{_~%n-Ho*7B~%QIU|U zurzOKYAGr6mS42r2JN8Z^ZKy_^A?)KX&t;RgKt0idf`bbV+wp%vKx<{src>q65rKAB#arvb%L)W)iqqHf^Oj*;#)Lmp&TgBXA5f^q1H5* z!0Q0Ihfse;uxh7oU2X4v2ET&~Gt{q{Lk;n{jd$f33nppJlYxh0d5O;{h&!<%Bo1Em zsIJw-F^^;jloN=;7QQuL@c?`>R{pr4_SgD7lP|FNX>Yo(7>2j%f_v7-Qqms|*BYKF zT6<{_C34#T+8gL3Sw~4u{yq(e;92P|6+KPm_~h37V##Lw0!1wPD4w6+f3jlYptXO_ z3OR)MaP@1ObWOqOeyRryAeQNSh|BSu+FQ9GrpAZfF`C*moS<>?#r`?#`BEnZ}s zlwf!Hx3?JwA856E`j}Q55j+)zBwXe_(<6p8tx^J=&X7g-(i&iUK`habdjm>UxJ8qU-JFK>duw6G1S;FfyHF4Sc+0gwX&)Qd(@?)SfbS66~B zPpcD_``?a_B1KlQ*NAa5KKEwP`bxXH(#h{|vsU?Ol#soWTP95~h&bP!ub6AAC015n zX}c(f%QV%eU_U4}!S=qk63|osxbS3Hpa!v0S2XP{|DCwuPo)Zmjj_lHY;=*5aNGkL|r# zd>Z@SpLBbsqgBwW~@`$nY#<%JZ>;#iLTdOg9N_)&0nDJCDjDo>~NSf_C#Hk7><^KAq8n!oE zw<{yOjPdM-I~!B(h7${$0V40V0tVtmepO15 zcL{4%T`+r*f#};3e`O5GoAQpGbULUlUI@jAp)CxkKDc|12J@xa&Uy-aIOqfWv{+BHLyJ`TzJ{*lTT|pKR)J{^Y5it~ijwMvlJUid7_6obuf@E{6<*X|+m>|)wK59DD zcL=KhI2OGq%(8-h0lI$= z|HBkPnv-nDKJ6_D(FS-K!a4hkGrVWE4wN*zgjZBR@z9q)m;kNOaojT9~Zs_5VCG zPW^&%R^=o_RyL+C#Y6Ak=W7%`vs1OC3;y5lhRBgxswhF3ic;10URdvPk4cJ7_{gTF=#eyZ@eX}` zNCQ_9rJBd=iWxf>IB$3=w$w#uYc5RSDXxcK7XoggsON5gJ|uiXc-z$ZEzdG`zI;Xk}>nj>JQ% z<;#G8VbpE|-W8UqrPhq$?ihSn8S@=A^U(Mc;Wh8a4p z%;s&vga7NXvhHed^b|&&!Wq~@tv6i;UtVeR?=PpUYUAT8E=CZ(g&7bs#ksNWUPfm< zWgY}kGIYi60ISEKzC5#&?@sV#3+mU7F$NYcTC~opfqfjBPX=UU}$ab(eG)18rxESL}9*ck)YiN>{rApU{91{7tGoyXToQ4e4*4wUdtN9|p;q7?( z^>Iig-&}=~n#z-)VQr^rp-k^onaa9Zb)VYtuCCl#Uh(v$i5o2!nP{#M;8EPIuefHj zRUAU942=$|UI~)OYPj|=e9S(c@5;+}4vMhMX9e?4NgwCJ3)92;zdL)Bg)%%i)W%As zt>Cpf;EvS=cS7irP5O~AZKs~RC<)KMwg|@$aX_(=d(FK!-V@ohMMB;h^UoR%zGh-# zGU{VldLTc)qP*gSP74^g6boIS+%qE$^yJ%8+>46~{y{=Ov%Qv)Z+o0}wG2}B*G|n0 zTl?NwhCfZa2E>f~i0)N2%9^5O>QJ9)m5RkO8vBK{-Y{p#$G>(^=L&cf1>@A4B131( zMJ|{;wRnydQWWe`iMhnMa>b_Mi5#n5RM7YFX;fj(mL)Z%U$9+rxU)^CHvaOV*h6-- z4>K=Tnqc6vNkO~BLN2Ce*^Te%GkdG6s}2(lQ6+&SFJea788RFM*j!fmtcHwCLE|X4 zIY~3hWf#!J+uGDtv^zfuq=ay}#jC*iQVzo^&X5uTO00CXo)E3r`EIp{%Jd$tuHr}+ z{fhw}8y_UhmiN_M(*~4&#&TOpTJqB(ezWM5aOY(?;dO>N51b@udA1{?$8H%V|AlzE z^pJN{V7=(N(Ji^-tAMbBm`dDMyl%X|ZPTZ+FV%g$($Gqyj zzVN#s_-@setAvqL`4hylv{zX#I1Xs%C==wVQ*s|^Kb5?dz=S-Nc&VkHaf$mLV_}E? z&T>5nG&_+W@#ztAY2YG{c|YImLhHqHiu_<5&u`__ov#4y&q$1ZH3BpWMHaEiTf5@# zJmfuW*j0&4Lk^20eHD_GKzBdXZ!))Hxd&E$e7)N5q5yo}e|-Lz=wWhNK1uGgl%l&x za^Es{Q)64&+b2(?t3JSdC&3k7&yv;B=2FdC@jF5y{!|t~)m|Q}?P<(Wvj%V7>Ow%} z-(I~NJaCVXB2FGYM$sPvW^Ho2`QNuqUx1;Tn)?CkLWwd>DR8~DuXIy>RRO`d^{o0` zWzNghv)xE}6*e{s-4BU`c2A0m$FJqMv^c@g!&_27_@c1y*NvXiLcBB9H-)$3;QJ^i z=8!TOZ-G12GWuIu5CRpyT7ZCfow+Zt9l&7aYth`c^zGkmMX^#LmBUIa+i;6j>2{&ff1pq8OK?8An zw7$8#l`nCwUoVQFe~Nnq+ZoXX&u|thd(`z^cZ146>IZ}W2R*27(&(W6F@oib{Ei=+ zwT@!Ai~3M~UE@W9KyRp>8K>y0pq?1gJSPMfRHR{ zTS5t`FuN|R?CPN>SP8nJUUhVIWZfNi&O zgsEQtR&YCSUp|0BQBf}m1CNW`&j>ZgMMbI7uz2wg!iTRnHHFC30|EMM`gN(k;C*8F>?VM3np3MceDS%sq*`$ucvG}2RqVkZg7HCciGF8H6c(PrN4=Id zxB-~Sc_9i1R|hS6j{mOPKG7JmOXMmd6EM1dhaLh%crm3RXZX`I`-rooD+`a8S0+Q_ z5Zm=zWqc=1S>ac5Z>5Gz_Up6qLmed`%c&Mryl_qph>`H8y72Rs+9Pla55DpS zS@#VnDBmc;;;%MP3Ts-lwpbFK=2Y;aYVZv*eU17c=z?yg^gn}Fo_z@ZGIx~3VUB=v zNMSZlme}_pfl3C@=wX0H+f^}dR0J$eTPQQ{fmD@+il2o<5ZRb2&2G!ltXmdE}7w)eWZ!l_p<`@CoeqjV5S26u_2UX zFMG1W`$DPYh>mqo6(MT24i8!?mLE~nvA5tKch==ZF_6+-5I(7`ejXiP6y zY2k<3aXU&q$q@^V@ZldqH6?@)RbwE~F93vlG@n&+pXQaCq*r?L=7kN%ROF=)aThU6 zk2;XzDM14siJc076W|7wS`(MyAP9cpe(8k*WQX6}OY?jz!S;QoIg!yI`{s0_4}U9? z$T0MJM|R>N!^7dJ7MS-GQg*dJMZxWRlq^-*&3##VKX%B!02d~}p0DoypZ2~qF6p%U zyJni2@~)<7)G1TP%&gopOHxy2+;hpy)Lg(Rx60H+kzCNGGD{OP6T~&QEEg(Z_$SQ50*HCUl=DE+z_F(^yL`VuOFKL994J1Hjt0fwLj=iv@>hRf zh1mdZP|$B~mRoTGHw((6+7e#vTC*pC(YTuGShuPsKZAq}Kqx-!sc|Q22>+!bLDDX+ zaqnu8IiwNlGvb!&k)p2{^`qexe??)4@J8;Gkyf2ePF$^UF{!HH?dXQZJ+R<(U4Nkf zl$Z-3f~%4nESV@4xe{CkkeivF-g5u@wIIY#T}>K&wr^9+;eb4%D8#x2J-`E!0tJ!+ zu7$XsJ^)mO3Ow9wQ;@!sgry>x%vL*S!bES$S?|o`Oz%2o*o${=7rO4Qjnb;qZg)&d zc8BeUT=_LB2F2^NP+Z<2dz||8&*$HDH7pFhcwrpXAb%C1w4l10JX!_I!BFaKMeeDj z60qwagB+=5RTe0b!p{TR^j1ne>|Xo>(!Fs5sSqRr)fO0&m$=kg&A`CICBs*dC*GW< zxEpx5SzMagy}T$5hsv;i?ff9Zy>QF?LoZ2mZ?#_ax04cj0k91i?L{YWeGrs8uS(>d z59bR(%c^_p;fS?UPg~o~I*v!8S?O9waV-4D>LAhSgs8-p-y94~DJLRI-j1qVobkP~ zJdGVKujUdcRrC^<;K#dux>|l$l=Rg&jYiN6aQ*wFrec<1TeV_Y)9O8+|BOt^oSBvd zH8w^0C8sJuYr$v$XZvNB0#lLqieD5tmQbbY?{|KPvju(&kl7*AmSZC(1}OUDRI74c18-_HESz zK_53D>G8nURXunT-dTTNvfTh!PKbILj}J>~e@(d9!~C3xJD+`J@em7r^|)i!vLbY_ z|3&##wOc=|JG}RicJ3|dk~8PjwR6{cHpiR8H}5si+m^8H=?`wNu9^QJeelfhKTzx^ zRji)WO*fu-E@OS^r)`ld!5v#D1`D(UBYJH*W06q$9L3njCpK7ols?I7pKQDMMmyQ< zP?%&6PRY!fp(pDvT#_HFlM5axIE%LTDi zwTFq?^w?C!r`(uh<-ho!36ICR^lXyHvR>)Ldum&Zc79JVe|bpo+XD5Eef#(0p@FPg z6-}kl_Dt>pHMOBP!Qc6Jj-BjG#?Rih{DqhwvkS{Iy=#GeH~sE7cwsDt-H%C8$oC(Kvn_ny78bHl8WUMxR$u0LyDe{nJB^KphrM>r z5~TQEm73x<#LH6h@8XX7$_UEl?*8sJt9N?VYp>y+pBvOKD8&{)wy~2`9;v%@l{XPA zKM!|{YDulRyyz0{9hM?;?cBp2p`|Salr3S(mI(YcNan=oJ#(-VlF8fsUz30EqAPuq zkG+)M;N-!k(#lX2X)tj^I@kElY_U{qb^)sIRWZz#655ZUa|ap{jxMf2b-bNnI&6Q9 z_G49h#*x7ymX^bxeRmIq#G+7GR2UW&p}7us_)xOK&*$TfqT{mK@?%YNQ&lwB8Bq;< z=ELQvyR^j(uhY0DcS1_6?exODHfjzxmR(^*bg;laVUV1CgaXv{1YO#S!Tc2TnY-*c z_Ly~nOR zHsA}PKEYGVxau8RcDkgEN4lPB8ji4&3LcfS!foT(E22TL-@A%6<<;wg%rTC#m@8OT zUzp$_mzg?zlQN|{_$nm@TQh&;2=5sT6_RY8J<3W8B9fPjB+Di2?Zvyx9$8*)bq#OW zi?6-g{K{sc7a0_ETv>;s^jFpROyPL5O}OQrIF~Nt=6s7rGCKNcq2EwW04MBiMq159 z$atYajUR70UQqMqo`FvVkm%e^)`7cI%{16gX7^rm*)`lY*-Wq59u;(Xexzd>rOHky z>1$yp*aWnC1@z2!sd?!sq&NHFXPxN{&s7q@d9NGD?a0nm1>+~}^Eoc1}6rwRsX1eLr>9ZW$b;L)~hZ5^&U1l18vW;dR30}Tq;eqN_$Qb5D zPTB^;Zb`J~jG;BZfd`%%g5(3`A z2Wu)LN_r#fj%|ZQBAg1r)luJ)Yv;dhz^AvO`hvP)>r2z0Vn|~E^zp_ zipR9`JH*JDt=C2JRXECW%-wKy`ogu~+jt z6YlU_9aDU-AU;6s6wfm^>}##h7d$Q2(jhI#3q-S5i~Hl$>x@}T6Da%cba(j&gqd%h zlUm3;bg8j_=0w(1=BF+a^{gXxEwqIdT9|z)kRYXkh%B0^NVbsq*)!i020Ez?+XTq4 zb>fFx*bV!)Ps=dj+>$AbqW)XMkP(kI|KU4JOmG~R%)l`SeGaK67wbHBq?c~`1~Qbs z>7Obz@adrVhxT{57ZOAMz>YY3$Xc-%Pmf&yI%<{~Sbv*Q9h8)Qq!lh}EE)X;EPO%G z|DHx262b6@j+xPVW6Qs1^T|&u(8yVr!|dJ+pmroKG7})}ao(?+E_mbMO05L-y7Hx# zpC_+>Qy?bG`Bx{yNW-i_JU3*$VrAfbReB)hF#YZ96mXU&XBAY%A;6n-%TAadJO+uAjU7{Y;N;nazLf$&iUOV1Z>7@k6gWT~=V^c;)&N4QQB^W$R6}hG~ z9RtTOd8etvVq3GETeF;dvmC5h4qmGM&69Acnbi&9z0;jqxE@GLWA-(%umz+?P0H4n z`!A|d{9T`l2i0`$a2zmu>gT5I&8L&hr#sE3w^^vY{045Qg z*yv)V&1;`ir38`YH;+X*@PrDVQM=nE3ui2Q;0u(iJgQxQx1JIuMpw8;z1XOMvlh-a zQ;mAq7+FDEu2a*K*@u$J>=g%2?4ef%`$8^J>xdn^7VoVX%2CQ}z25TZWOj%CsO7@T z%@LG2I=t1^K&&3DXtaA~eC_sJqvYEXVBb4Y6FB@0TmBz&_Qyym$yH|18GeDhR6=ys zgwDQc(r`ad)qTar?D(&l&{sZrk>GUAFkIb7(#HPwIfKLEksI3xXxoHzM0+$D zzx(^WZAz<oWUk*=P?&M7d|e7;=#opoSQ{9b5uC2cWf~x?v2V+yj;u<+ z#hA9_U>RL;7Ef6#>LS3(FO-E}?{%m60==Dv&$xiQsP-w@sNrI+~ZqY>xWJAUG8>ZOb=)=A6N0A*P#t zK0V+X-eFM2DPNu^dTd7^h`(jK^cc6~b2@6?H)g+|9|(Lj7+EaO(2P)ccXL-z24!)= zpj@iF9)11`Z?g(zm6y4ZTGRT624Ug-e^Gejy37YSfgwwPVovnA<`F4pdmfKQIjI~< zR5+N^qO&8jxz;AsfnND7?j@~Xo8Fj#y!#tyknjXx3HQMSyMaQ}2b3YTt&e(jW)12WW7=PKM1K%oswvPb!=?<>ghRq!2ag&V zALkvFOs770`n?H}NvHRD4KW3aIUC3{-O0?lNlbkE5t2tr6S_#y^}us4$!pquugG`$ z>|R(fom{OBo-gsJaBZ?7_h04bf5jWrLh89AG!u;8Ge;-K!{UQyPPu-#sUXq`hUV-+ zWt>+6pb%34kp}uT{x5@2uNm@eoe>n_3%`;{8Ck(G^R&>|W!R9EI6QsO=NXSiO8UWN z$YNi!yfVOJZH#+Z%SOUNjUOaiwb#)xfGys2F@RLm%#3!G$2ZI3BeBgtkXzl|x9E@m z1_>EIi2|)VDS`C@a}Rkr{Nu25?+pHnSkVBn@&=U>n6L}s0X7t7gLeTKN$Avr z@+(1Xcr?0UW=K2$FcE-;{8^2)S276b%22Thh2F=r@t^2&Pu{eS6$`4X9)p7yV&o}Qp+?0}%;w>5iH|?2@&ae?9(8&NDti|S^ z-yydcDqPwhE^!uapTkz%MReZpB%rdhXwY3&Rje>;$ouEkG=CFYUbSRq*D$r01h2L$ zlNuG0DusjIGbHDJI&)(?6 zRQ2Zp$Os;Ji~(9!q-6_IW)kW9kQuz$K1bU+es5~w?Ep+0 zeTOo?VvXG)KzpEp&Op9*l^AltcwW;S&mYI|F7Rx;3?*3JGdQtoGJ}V7_|;vEtpp3q zQJVXZJ`RpT&5%*;Z{=unN_$X||2b|wl76jlqL>FV_bAXBqh&?zw4)>W`z=SG(NeWv z0x5(ABpS{)!NC=Ru?a2MSp@W=`2*Yknrm#Ly45iWub~PZTLpWxeCx-un$Ytu-AK^d zguFrF76Tqp$uQ5_*0-?D3ek8AprKlb?$E{9NvflZ3)w)>*2>skrhbsL!{9w(6jFO{ zh>L#Lzd-XhzO^fRLT;ON;0tm!=oYgf0JKOXM2lB6pktTn$rScIYeuYMR4U3XENo_P z`lS!LjLR=;Tb<2${O_<|`>UmIfM+6^;Q=X`Ccfp7Ol#=!h5G`f7c8F(82zG=TB*5y z)~bdAf4?{&5|9&8>@O^4ich?lH7?1C{

Y-p9z+Ja#Co zF^iYs6k{*Ee-R_hP1!B+C%q47X+?v$NSJWf0oOy;7cOuNKF=sl8)Aq~AgkX84)yH) z;PB&WArEc+T-6U8m_)W(fo7E?MV;4xzO&z+9=r9zJzQn_li74zfIn;{V#jGGC$ffc zYsgq4r8m;{e6zd`fas^G%7FYhw0~xX*vBO$lg~Nbh0&#Ux#y6L@+kGTJ9AgFwo7p1 zT=SHcO-OY0IHVt^yTIhd0w?J|+d<~nW6g$#6Q|}%i2#Uq?o11aXpo*4{sjCepo=o+ z08>!7ar%5 zS5!379lgx;5FR_Af5^n!dnEeb;hu+c#2OV9jcg|6Fog$w6KN~4Uam*$@?-ASqtn|} z1ZZY4;bOQsX>M+M)T#VqU!N|M;6`fFaP{J=-jH}K+unAG#;vo-XB#o@@0+Z1=Fl-e zahzqhU|Bc5a46jrEH>+HnFm!Ixs3c&-{OKn$7@tA?$c@C7;dx&1A+!EM;4A477qp` ztS655^*B<{QBPwjAp>EfTw^QVmChF&6^$EB7C)z?RAzW2BqR+6cQna|o?*|kC>NSx z;hB4SAW!eHG22#Q@7Qd|R+{I)v{%~*WYs+wHUTcPOt8eNwUAf+;b)}%rKP2H3u92R z0M}5x*rKfn`sHVn{OG&@yxG>+R}$w)xnm*=@u@t!S3^S$DX)K|uHRamDNHNdtWEZ` zkSfGgoJ25@NySCw@#ft7SaaSTok{x5`;4bR`+7F*z_Lys{1WhcnDN;UjKmEHg+dXD z70%U);}oz^-=B64F(~%7;86}@@}h6(r;iH+R75f**-@y9MNT!c(C;LWxtPD zNSX%Mb2Qw=C9HfGMPdDIZ)}CJFAlxou=p-LjD`v5Nl_hxb#%GSX283QX;iU1 zneLIu5b;5*2?GLe7D4KD5^@PyeBCkYu|EmfB06CfuE&P4hIsgFvW$NOId zMOrCv-H}{}!V}_0#l@n7E$HnaCSbF9^X3jyTYgttx>G@-1ef}(%kpb$+ven|$p)Nj z+X4olWxgDZsOi!pO||o`>~=;q*|!3q>>S}h4u zHc`V%>xTl@Swqmb(_NFi2O%w;R7}7yP8b}~s6&((hF8>j2J=}-l*JDc$8lMBcXwlv zzQr%Ru88hBt!fPtOPl{RfT&T0gs}8l8M?relluxGKP&I=r$AUU-#v6NtRHor5O_X& z;rpEYdd~>d$4(KYm{;>A5@y*fujSfA>U*%e<70~fWPz_pPBgk$b7`RB;mqVsxiq8t z@toM*kSmwjR#v-7BiJO-N0SI>jw!|shxv$whpk`um}dtjpF&IYli#UNcIc?@V(8AY zF^b=w%`1kkNI2P=9$i7(J1U>4GCk@n^aK3-*G}X5%JnIO0e0Q2`-cLW%v<2pDRuKzXM=sjIJb@nvRc~pO;|#_COP3oH>9_fSR{h%$h0TgA1ito$3%rj}j6>_qJhHbX z;Tp~iIscgC>5!?s$&WLl9DfP~vHnX7*6fLK>55a)fv07leaAo#xD<4r8XCRtbMSV^ z^?EBS0-_;pp~yt^KRIiQYd%!#b-Z=Np->kV)oC^#1*m{q)JW68e@93DOQ1i`-ikox zYw;j?(IYo^1^=!~HS$cA3v2$wd#y@1L`uOyxvj>xSL4(YL8@QOz3@K8HwXvUjgD#^ zn**7;3N}2!?sFcvLsX;#)&*SVHh8zb}ha;M>}H zB-fQh@R8+7zG31k{Tl-s>qxDdFES}1h%q~(mkbNbB+#5^zv_@{`~fLhU9=Pb`34C3 ze&?-iNfFD)2+FEa-Nx#Q5bN-3mbVBM>4ciSeCQ*~0Xn35EoJFdX5^?hkKcj*vtAc0 z)Z-uL|;}%w(-&nxbbEjuX0E(QXe8cGx>)zI-mcbT}YfI8i&;s`GOC zkS}2BU|eKY=-1;GNb$rgytdI+g^W4=qz)xLu+oI(KjQL!3bhh69~@Z-olYZ{{j{4n z{^EI8`sJ@iHE!BQmAi-TpH4x+-$eFTQGgQt&Z~kuFQgMOp~DZe`Q{m6r{_@-1|dZd zK(*PalElc6>+!$6K=f=uhdaHJ9-JvhspbYo6bYsQRcouiJ@j@XYJ|B`&gC_)P*!*q zQZ&FVK=kwInegpjNZZx?gVwJ5l2Abb%i@t8tc0lQ=Up2{YA08SnKXLr7l=^Nmc)>h zOA4HK^ZVTC_1E2~3k$@K(H3vq9jcCq@9gHxKOvr}h1kSB^aoQV=cD*k4!%2CP^Uy{|OMi$*BF%wYjEtE^+;-xA9bllOI zUUQ_+y;va5j^GRdN)NpBoD^ZrKpA{-a2@e?8PBY`_hp2KFiPU=o&5`;uj!gfhltgn zjVEgM?yAB1{B;RaPgqQlSmIRcKsUW92DN4mSfz3^)`-B@Br(*k-Q|3MoH3&Dwo@N> zU?lUgr+NAh<-Z2gE~t`0Dkzb&!-2;F&px&VZPfN|xo>A>WyS0MyvontwbLua9sU53 znAL{LSxwN7mPV`pmylIBq)m_c1(3k3&>?O;??~gnSVQV}8&cPzA)>=NT?Y+4TQ(1R zCELP7Hg*D9NSCnDRRO*=^xqp~pJ5&N)D%FD@`Q?3P}B(aw$E+#hf7nF-7tUToCqIw z5jYdh4z8}k*Pxg{@Kg=40O~=VrKP0R|it%h(zPKjgB{a)4i5=VJmPQDJ>+g}tZe@T7uaxVk>Kgvdy?Gvcr!_=d7O_4exN z>b;($dqf9;dI~t!lm2qe??2=J*Wq7|_ZHHH+iOr$)9^x}(9GV!_qkWX%`Nc}gzl;C zwdsMn!Lc;mL7f+yz#Z>yT{plYXW@0>=nR)@R1CH=SV_6Dhl1kUfg*v}h(lt7-@d#0 zi?;R7PjailQ=j9X#r1iYoNvAd47_Lf`@Xg>XH}Tt(zPlRtNBxjSFvWzPr%B3IRIbm z7wP-5PvF798!yx^yb4^!^}iRi!8$NQ;&6cn1al7lGweT`{EtZeqd*c^{Rb{etp5SW zEX4np7RXKeiNTsR8|IIj{&BkNAKUv6)A%W_tdM%NS^eTGyL@oH;GPPIv5Ue#eK>y` z-g7J4s|M-q-3h6gtx(fY3%08*f2Qu|)jI=%1e`<5i1xK>uKr1*M2(Kb&z74n?ddKp zeq1a#4P4t9R+NE|1n;|*-IlFLzIk&z7#2Q&JU>1=2TP=S%jlL*;6IIX3H3SMxEk<~ z_|=og41GTA;E#JJEH;}tm{Twbo6A7bfycq?Pa|cz)n!gq{Wqd=ytSG-;vO%!wz6V5ZL8EX75NQWRvkL znN^pk8p64-0MfeQ5pB|>)R=^l@b;t8wcLJ@sAB@GYmM=zRu=S3G*#2S)p$Jl$kkjKcYl3Cts4{)=*}I|K)2u@MiXJ zza$iR7i6mq3B6{NT{I3q3{T)4<<3K=eu|tcuR3`R#VH!ySxSQLkG`B3bMILhx5iH&m}xe zSqKp=p+f6{DUydCcAahM?6vLrCOl+`j zdtYJAnqLaCn?6KL$28WJ$?8u}CHY<{_8UOEIJs1nX-W@GsFp9Xu6Q1{(+Xh^DtCPB zqgzOECvumOj~AW5+rPz8k)q6b;o?&q6k;uZ!C?AdfiTe)vHzvX@CTaGYt}qSods!$ zOe+2Pb$GTeSD(m8TC%jbp2%1zZhIk03Mp)Th2Xfk?xYz^H=S?4_CqLHS&)P|p{F9$ zCw^>c9oHLkI^h@=Hqx`1O65>UhKK3us6EiFQ1NYpbBoQ^hotz?2M!##;t1s5a-G1i z^ma;bilTzy^exolE)O{lySmdtBVZ_JK7Jyt$PJNscEr1bJTWmoB;c7?KSo< du0C0c{-OHW-Hsj zoA;_h10QbpoPYOqfDlT5h1KdgJ*kzDYT-`6TUoC24B8*g76v@KD5vTbvRB)+yi$l8 z!HkY!Bt?ON&HonB{ofT(o~BDxaU!KCl+RZR$>p`qPtj~L9@7z`H8||By_Pd3!)~!B zi!e}VN_Vhb08bt*vgi_5N)*A5Esy6YNn^x>IPZ7Qw}-3-ReSHGc%YR;tHY%&{Q9-l zq&Zy|q|3f~ z9IXN@Z}rx~_}cw66H^&B4YH%GAgEBNClA7P{w^B{9V`+Xb;rsB$|L9CV%I%eW|+C^G&2 zU8EO!OWe0n?c`QPHJBPX@K&V9qO)snQ*o=;_M))s{?rLtHrRWMHR z*|=8==3GHBR??wd?Mjjc-)dgjnA0KM4c70@&@3-zbijqPi359>_w~Vk zMR+edv$C@GCHc-o%lmcNSMpS@*5D3c)n3N5Lt=|2L@a_XPs==_WC*(wf@{gv0;5lE z#WI!$?<7{OR4(~;KCo)t60gvoL1O$)4;))!azsL=v3kQeC!04mYlg8LO9&&o2-OjCw*`(wi@_qfT z6sh%$gnfPHWJ&j$iHShUJ~>ouT9<9j-dtPz>V|(($+KtAdTxSc9ul^`Kh1Nl+^@Z7 z+Bt%s5BueM!NHRTVRl{yu}075eNMb~QN?T(?RzdM5^NokD_2S;IY7vF37K7{o7fZ{E|@4=78P@Zvx z4E@?)yaX-U049->=nQ}GHsgn~&TH$_l>l!xrQbDmxqtn)t}v8Wc$BpKHwZGwDl)oH%$&|vNXSLy}kGR9xvu8OOYs)0aw;lY? zPAgHjz2FCn%NVU4{9N2cwU(4>W3~?3#SRB!i$Xn(r|&!$Rpq+X0zS&|w#fy7xo$Z; zkK!l9Njeap8`i!5_k;d-hW>XC{qHIJe~m-Bn_Fm=&9{u|NX2#Ds$~I~KK1`a&=Cgc z3k#sqBCpQJr&@cWqb@PyxjKS}-M1)bHRNQW6!y>IPd8AOHw7NfUAi_7z>v{ku1?Vb zerH@}lPF)dfSUZ*v9*uUxt*UTa2Q~sJ&P1i=?N$%G8j}`jwzYU{y=7-SoRVJXQ>vf^#bMdo^i;|J=>akE zpRz%@L0Fq?#0y*Z?Z&VxZIq39Ert278iz2o9OhkJn2(_P=j7C9)LjKCggyIOyj$mn zSzGKLe7BJ$z}j2byNH_fA12=DV|H^m-R2a@bW6mhiVWW6|7xpPUxoRs%N?f2D3c7K zJU6e!78q2CEU7jh!JL1duiz|s#8RS}E43+2Sh_v1ll z_M9dFc2X1bvnLNCsy;{i>zo_>Hifu4&q?7qwf$Qt-EKXde%1u#=jZ7yp@i#${uVkq@)7hj#f#=HJhY4a7{Z7eTXW)7DC@#it5OV2Y7PigMGGTf6Aj(oEuJ3B*(D#2BS9Oe{-c-ie?Y-(=%Y_8? zgi;mFYSmwV*5z7dB)5QViB@Icm`tLZx@N~e{BgQh+~_Vfx(3VT_n?BXzl4ubmdMh? z1T)x8WO9-$uB%bGD0O9v-baNVArGoZwsR0%;aPMyzFEUq4#D8%i)h$7___G^v_Jv- z_S0pzD5YMdBEd!s;#C~x#P3{P|Mi*`F(~3>x~7O<=j2y@vF~}Wn&EHj%H1TpI<8d3 z^*{WS6S=+41%D9FXB;qIYCAkZ?$z|{EK0&)hc?5z7Y(MJtd~eBX zhLw&l=3zm+C8?q{q9nKG*E9Zdyh{-$w)EpSF&Ydv%!V9` zbEW_32Um~=iQD#m_OA4cpR>u81u&|*nyJ5@md~rgXl&cQ=n=ww)Jw#qg!^2~UW}^w zhp8y(LvnAa^;ep&L2y<@)AqulFy;@Kw#u(xlQjg08vocI__vpMJ^`!pKm0v6GFiTD z7aXGZA&Y?>inz{V0hlV~KfM8g+(w!m&F-yjGer?wQJD5W{e5nxWs%35qjOD37v~ma zskPDIRrl*HXqK5M5=Q5B1uJ_RlmeDj3D`5dxx~L-@rT%S%hrvX1x?cL)0lbq$on@t zg=|S-X9a#8@12B&F!E@T2^v_a?*k|+$Lc9brqTufLrJ0UtCZM8ivBTCr0pMTEekdq zUi`xbv5vFUT5k|K+8~oBiiEHmEbA1czYee!V*(gD6ko)+9#oHyeJI zhcqAnbrln#SWo?W#nY24hiW}9{Tw%6)Q;kCB3tW#7EQ@+*s;zB`1O!%r`Mw{3N$V?5};nL(@l&7@o2&Gu3Y>mEV*|{(Qyj>stFzI$f<=t#Jj61^R}dN1~O8uU@`f_QSD{W^D=y zqV_d2PpOo(#od+%v{$FSS1K%KMTTtz8@JkcZ-8&<-WJ5z!n98ll0n3pJdwlSQH=3; zWA=+#PPZwa3~nv8?zh_u=dJlv*qm_TAm3`Jc;Tk{P5bqxA1XyM$rpHJJfIM@Lp;p#6p8dtu9>z4g zJ7|da$h`wck4*-}{^I0Jc_!MH4)(i`I1;zczM@hVGwuLrO5&w;Ox6$f|~lL{6T7>-XzX5k_5(rp{lF7H>3k2i5S4vvy-)e|yQ@2=Hb7^o$5~ z2V1Kg%{)yH;ja3ZLQD*zcBr}%^@N-N-;rWVbTgQ*XRh*zSRvl_K)C49e9@1X4y}5; zk^Ar0#^W2Ns7snR>O6nIJEw1|@=PVA00>$*Mx1fS$`Uhe30ur&`=2D98X8kCzk8Om z(*T)VPr5lVt^fsz4@7~A3~i*`Q%cYCf=KE1Ap*EHiiM>Z5SRmoH9q1pTyFmj@e-4- zRREJwisSPKucT7BG3mb4hmp$XpM?3%#aqNWXyyyxJPg2!v^YkyswLSg4JXmf)z>19 z7$0)oxZpvm#ss4$qWqdQhXn7#u9W zi`T#NJ~8>eIBd>*M`Ek0xaCl>rC*|mtwY7@^w+OncO-~Av&+wNEt_t}Te0_Zvbu)g z{3plkgQk8C_*hqh8#Qn7Q&E0eS}yI0R6xP|6`6M&5RudG%HRgO4g@>J*v=n|q8I*B zI~%Ka0G55PmB~G+b^)14RAC2>0YSK5f4V@oBrKIjZ9wF|Kvxc?u`2!A6w#AZ!mkmC zf?0YhyKTT7ie0lXW=ZrvpyyG$y|@yE9Bm=Z`Ey2&J47@GqPowGHGPuWY!@W7FxW4H zx&vE(b|lqrKa@r7^L#3N#n59isJ^bueRYh0TdnP)3?&0B*MDNoSDL9%$pA>O&Ra_Q z>Cbvb;fj*r>;=L(j`q?C7ZGwQGHQWgSKD>=J9dZoogEgh@0Z}Cm9D7lJ8iMtoBWQS z7BW*ib65lahWr&!IHt(+Qb4OAupI8n*V>QQ`0cEW;yaTiiQy}Nq9%yXCr#IGeN!lu za(V{nyHNMk9Bxn{vop%i+~{eN3%ffiw64~lSvpD6J28ImXz%@DpCIytPPZ=cyf_2P zqRovE?!VV8O-18*+Jz0Z>n#j;W+|^nSUtY(X8qHTmM0xPba6LH_%@?@xRi1@OaiXl5R&UoHwN50%B>)&k@Y4zt z2x@>DX8sL3w7zrnXr9?1;lBo|7cbHX;i$`FP1&-lodfQDr4XAqRtp4zc;E9vNlsn^#vyy|W1g9{kH4}K3JPD0 zX?||zm$RB`3Wca)JYa=~3@cqY3-bF8_BQbfywyGSqm?CxlOZe{i+3*q=5?xfJ}d|j z-k_pO3P}L*AS;nlX*l^`lcc-bUYzV{9PL5H7NQ&wyNg@fHW-CXEzo7o-{$rcu2U$fUDv)!YPM=B)};m9*zQ!t8k%PgeF1h|2murG7C z*M-;2(>=Y!f3am^8qm};nPJqW5dw&~ZIHrnozN$GIOesdNJ;Jnuv0)q=K7*@^UZ(T z$}n>QBoXQ@(ShUw#Q63#^db#9NyD4K{z+;G!Boz?R0tTRoJ=SiwyWY6%l--|kNYPL z$-R;r&&pB6AR`#X1>kTK?R?{JRTbtB70ehC0>zuvG4BzI4rk-tccp!Qg5b`tj z#b57;pFH>D)hmFOr?iXSPCYyb(dzxpu-(Yy4Ua+Psj|+nlc1D)sX z^H6GcB9PEbXULdz?+Ne2DG^7STcCn$D(mV!4YD*i?M}>AQ>=37*cD;SLzwn4Lh?}# zvVJpCJc!($pplzUdd|phB@Q0r>3B@OA29nD$Q}svt6Oz1F-Bf>5|g@6_MEfj*XDAOftYwgJdAz2J9Udo$l&3HnqHM}W-TXG^I`B&cwPT0NMO_D$Xyo3`sC()- zfL;?^2p_6_IdZ^boU4`ABKx=Cf>|~inn!*3-OS9)I!x*W6gf%cg;HzPWy6C1HFX|JBleAPuc$T3eY@49*5_Jt*8sa zPTPq7cbm8KG;*|^l=Lge@t!=REJYH#$3_9D?A15r78bVkx5RkLF|C`ooQTAl40qp& zV(!Q}*$?y1GlapIZ`=ulWrELJ+wM2SCE8V5%GKU#Y|^B>v35+R2M%<0g!vt&{S2%mYHN2o zig(^nk#6#&696@i3GRg{e3(-(ZFy9DA-~^&$Ki9q&iB~ILm(b4u9oz}=(j3^*uqYa z#L)GJk2`ls5wr|_X_C~e{0!G67RG%xJH(@U)B5i*s;4{5QPw=XAnoJPETG>NP6#eC z7zj8`8lYD`>d;7zx<>mSfuV0gdYw|{;6tsCC*JQs4kWz0m-rUCg8=Oc<9pnlHVEPl zyie1e^!e2Z5hg>Q^&t3CURnOa*LSTi!4X86LSBRPyB$h;k8~Aas%h#wBhFnOr?uq8 zB5c7Q*2IwJo+R_&Un}t!RsU05iq$z5Has9So z;0l-skA40wQsT?F8N%RTwf3;aq25hY=?6BwryHY_Z?TZZQ<+`>#fj6WfcZ5O{`S! zz@U>wvA;yj;!{T%%JhQ$WN2L#^7j@ zV(HjFG?+1I8MwZ#ttVnQWx>SgG2u_(h3~aZ{Km`dJnGuNuHHmc8nqF79{X2HwB|#Q z+r4oIaQ#$2VcKGHg9s(vo+KW_Vn^;rLC2|<>_p}fbz|ex-ky1CMA3YTcc*=S{%Cf- zK^1nkVez{cnrAAgq*w*S1v;Otukxr0<+`)m0MPOX2aXL_d|-XPqZXq}6D}%B>ww?< z%#peb0Mh8VV=Gf2?x9ItcxcXtj`(2p<00e>Er(K?--fR(Io^(LR28|CU*~*$#Jer*eV)kAP+NIQ(z|Hdd+vZ`pK?X6>!0^SPV4H1$OE{FU@2DzQXB+N-duy`JE^jyZ(M*hd z#D3tz8)zFCIbA}1N(G0yK9$bECHfE`K^$+*uE|pl|uI{N7M2(Mo&L>Z-=8se#gJSEUv=+n9 z;kf``P5v&|)6{XK62oD;VAmG-gigvlsv8`1oG(>cfw+L5`NG-JTe0!wdcW)U?nxz{ z53wQwwke3pn!(__p)&hJ*)qG)*hCDevRo42@9n*2J}4E`5-JbjhdXd$Bfn zrto+Zf~eeaEF9dJlcy+Ks(T_T7*8s_1uO?wJ@{LU*ckfo%N8=EHOC{a+lWF+uqqb{ zytSUQUF@S9h=Ci6$6(HUYjWg|kA`%-3i02`(jjQQ%~3&= z^iK$qB_!-mNcq8dP?&=+4M$|Nd_Eww}W2jF<(`s@&f&cV0VvD#1hx<%2mx-9b(No4TVLP zsq0|2Mwu%lSIXJq(iRI_nWr^g8%_9Ao)p82=l`fZRhK6f5J1IhVG*`^1?&M{5McM% zmh>?WDAKhWb`ZJA2-ymjx5V`Yg7o?)_JS#x=o$ASPWVY5Ar@h%fP;VG%-jVymAxSQ zTe;)(0jO}}==$j)G?o2G`h9_;*|*S}6Vw*!Xsi69KjKg%G1~V$z9=Rd4{4&_(t4E1 zQ)FT$q+bt+9K^4>FN)UgDLGt^0!&1!*Tnz{;P04zW@7r~6=!|=#Smt%_i*3(PGKKvPTvnT#GohsB#Ex>pGD@wpxUQLF+KKyx5L97V{@q?u7p{Hl4c5A7x;87o$<*Dh(y{<%-ABsVX zcUr8en9lRf!<;A8v?jG(fIHr*3wyt zVOoQEYs&35hZ)}6nYTn{_u(9nN`&%GbMu~B-598QVp8|yc)axak%adUVq=gdj96wS zAN1wv5iju#NFA&-nu>=zd*RHaBCpcs*X%DE8Dc7z@(G(=GF>?*#mH%5^n|T?u9j28 z5Px#?mk@IawWz&L1DT7weeEzqB?NNOk>5uOk9B#20{wKEK(@+m#lJY1yV5^*BE5^K zZ7D)RSj$S}Q*pJ@5(a$r&FS3QRkNY{=!8eyZReLVQgTW?5UmtM9}$Lro_yVyv1)I= zi8?n^>|7wF^uQr*{E&I1Ks5hD-jUI%&|i=UB-zz*w_#h#dRmb$q4-A?4d z=U)ZyWtJ5gh(&rtt}Kj!!LAB_5&hm#r#iBuh~p@@i%YiLSp&r|58Y2|mTGRUZppRP zh4u4k6OZjjATQTc@2bPljXCDWL&aI}mJ1fUtJOQqGU?}%bolH>%8fn@gFrkX@ZyR> z>{=tMKcI~Y(enb%6cf_b0C~*yZW9gH{fj}GX~efe^-6BNDUy6LNbTJsQ8kmIcVn?5 zQaHo)0z*7D(30Fkj@$zg{!{$E>ePndotG;KMpN<|MgA*SUUdHTJw!zM z%_GtrpEt<8%J?t}=#?EO71#VPk}#`=oS_K=o}U8u+fP#a-`^1c>eHIHZbeDx7z}matub2O$0t)=;_e;Pm<5=c~qUSRGa2>d8jk;ceak zobtmo3Vwo{WV01KEHSu9%0@w^?5^z3pwl}rT1@HrhB`f4mX|$0!F0$$H>Il?iH9gL z_liG-ebzFk*)J21>7{Q^JR1U3ZuAcI{PQD92E?MXjIP#wx$$sJNq>vE$@QOXg+_OX z0|_1|v4O+iCho2s5_W1Q6a&N{qGDjdIUb$3?nQOQ<|LGQRg>|cSR|a4XFU7pxuEne zR$Ze+U0FOR75R8~4^(S^9t|sft07_30}{2~H1`0@7$wPQ-JE4&v%$_{OVkGhbl=u`2fyO)XFyP61@Toc-R#4v5lwxq6e@< z9~hcms?K{EZu$d{y6q_*`7rnNAW*P(Dp(ULz^>KPvl4^vj}#1@Ej^5dGU*#YTz`*KTIHm(TOs**?5F zHe0w33aVYei&h`@*Aj%wmE<*mjV5m*;lAQcYONpN@ox?j01eHEs!MFC*cB%-uifAG z1R?bY$?!P@7X>j#@vXKPE7mO~s{_>l+gW%%ocSj&d2IYqEhv8c8dG-s%Lf zrzn+$nb#*L@`SxX#Mr}G||$ZRPtXTn5L5t!vnh-ZD}`jf>*dg zTgd|%NyanED@U(^N1%*;YB(7=i;d zTE2(DutlnGKz|h(*)zvBu8~{xOMtx~X?@5+ztuwfldbSEEIzMt5eKwfX;DsP?4lFO61&32h8$Qv|=sLbzqF75KsrqI%Ll- zDsURItHRKt=6v^N5wGnMGh_?Y#gG#9h>Lg}P$B*v(SC4@FDZY3lb1pQ7!I_=21#fS zXhUfy&8Y)(4{8^a?$t6Cjd?#14tS|yzjis-b{=vOWOfM0X*)r-}Ykffe_%> zA-FCM*^vJW6#ooER)Zbk#1MylXBpvndeVTo!Y2^s!`HMyDZP8q!gIv<$BdX5uTM2Y zQBalt(;tm#r!r~H0R@7V+3LP^z0bOPi8_+gDV}%ZqlzArz@xh#a)I592A`{vDov1Q z@qM)|GtF@nM6#)TzWQ6&SPwfyIVS#{js0t;$V6>V@xIdb7%j#FK^%NedzyQf)J}T^ z{^q+o5dpJ+yV1zd6P&4vvS<9cS|-QK>KaNNhrw(GZu6qn0>%MXkmO3mp`30J8nT7G z2Qi937|QuB4+?j$=8a|b6i3chL&64PfO)hdcFY{ATtZjS40=Dg;lI8HWveR#yISZ_ zV_CLwvjHqxysW)#!U`IU_bM&GEiB79fQ8#d=sVqWV90HEodGgz$T(m~!wA8xP1{5F z@7ib1OvSMV36g$LdOR2y11W;q!Na9eKx)uAWE=Zda+fDEOL?v{nW5cPbvV{HHjMo5 z%;sM~C!-pXaOHge_Wc7J;~_=#7Y{kwvDs*JTGpS; zfe$89%2kJex-TNQAEcLQ0C_3;3-gwFD*svm9DiLq_)M<;%Y3>2RGt3HXk39x-obSD zbA3#P@`1+!!28LEGSa>kNF+KDgfuyd{za3jZlq$oS|KA9v03c&T|Ra?Ct0t=D|D^Y zSqVhdxRomVzIW5S2H{`|7CYX`g#%4zesk*W-=(I%;zKMv(TyFfe8soo>mJ5naDO_{ z!bSiCpw546?_jg*dhB$cwl=U)6(!X>jAU3x>jTR5BXMI}d{1r>7%Mmk9ciMT~Fgwdle#wd};-523|8?!W^4z-As z@mQM(+Xm;+uTPMg_o$Nkp&$MkkraoAiVHm7G*RTw<2#ExJml!X)M~i4z14zwUWtpF z1{m16kInb+Z8#4JGsC>>nbIf$6$zkx3MrpZ* zK_)F?&XO&7C-(M}8Ksvs+9eh6{E8-Le?oJkbkEH>0?ZpjbHLP>Z?FVKDL>#QJ^+?n zqOz?gEbT6KL)|pV3bmAp?~B&*;9oAH--^8f zCO&TV)vBY;-L@KnsPa+pU34GJ6tz%!i3QZ@DJmM{w3s|l^ws-8CtGuV z#{8B{{RU8ePwi}wGx*W=B3vw30N<=G&Y=ZZ!QbRPyXGLyLHcNa(AV-|xIwJJzPIF9 zzsVcys~I@<@@Lx#po*$|%D9F=krZfFHsYkv_YPz{YLM{^eYZ7UtU^}IBF3_v#tl9D zYGDgc?X{x!HR($Opg1|btJdK9{teKf!XecQL^d|4T>e)6rPvs(Dn<;QG8F_P!{riH zUx{LKie&%j1atsSaxW@>)9e^1V7V>h~O#7=haXeJvL9 zQrB}Aenc3vUg&v(v<4vQuVa;t1aSXjHs!9)!&DELCmN~L%Iv%KHQa!4*Ca87?83(e zR1NC6Zn;?Wq5~Z4(YN%Xe8Bxi|II117NIElDt4VGO5ePD7`TYS{C{I#tP^N|5U&#) zyLa(Dl(64^nypd+481|1*0hXd0RugY;TQ&H80TW<#qpz65GQND0 z3%!zV21bv#u+@hIuK_8;>F70o&2D>IS!oB>rgLHbb@ppfyOG_ljs#)78;?G{FcaIC zHf z;2KjiclyFz`^yrs2t+Cxh!^+rbW0LeGvKY$-##cMOStZ*0c11pl~8;?tf}BEsNo+@ zbD_Py322pwU_5y>Oy_fFIpRdR6v%1aL@{U3(gJz1eWv=`{+2Rb`=YB(z=>@!Yrw+8 z4~kjrrdnoEmk1_qs}hFf7RLDS_Ld!*44D-8!866*ezNS=D;88tv>d8OV(f>Cw*1l(yj(v<=zX-v@j1ns>K1#J@HMlamgC_R!zCB!Ln7TI?HP+aV!sSVJI8 zUqHCIxT^Z0Ohvnb@4aD>YUTnB_39pL`msg_8C4XVZqXeHT9Qxb5hkoS3HZ{ z?)1Dp`os5;)f8as547T;M2CSYG%rg~Ha!cdu}k>`Al zr#QZ`JXu6AAdCE*0E|F=aL^|l$W{q;6FB&q4*=+Qb$hA+b`59X8Fcs6u5g3rd(NDi zO~oout@1Q-DiV8SiQeytllmUCtp3C?jD|UojW)kAE7$N5J`sZOO7>tO@F1IYAK69R zC z*BxzQ`pIe%i&JZyofkYPTfI=hlf`C?G%K%QA?gc)MPH|ce=jqsPc47M>D`T!=XFh| zOFg+p@A1@P=P`Zj!(z~nyj!*WQ6a<6KUjSl%K8Le(7+JcBeP}eBd&fQL3{tqpKIyx z^eXN*HO@~E2UXU@>!mS1-KT-B?kQV@%7H;Do$cj8G>fPmqf8U$g6>;~3WUTJl9SJU z1O=xUW-cI0rf4orJ!3^keIEtc_gX%U{kQacA8dg8FH5_xz_2!~)v8b>gi8$60yV1%poK!!uc{}_MK&|$log1vPJ=-4_e9tXAfUU^Gpz0Fd z-X}Vsi$ko<>=}ao^2EMTOW@d&l6RxRwpP3I6T!hXlYcG+ z8K5@@s*eK&Z)(D2w$Q2g5YCYno@LTgIT9pOLvEzOUi2#K2^=zHT^YJt%3lzL=v;dVX{gx?ex^kS+v$gT#_{c#qx?!OM0E#ux)0+fjP>9Alt>u{|E+SBhRbx4DT#`!aOCrw{nD&iO z3GD>SdL7k+7#hqM!8qz_YB8!OPrSDU_4|R6=xC2&xx=M`&O)C(CwOME8_5{2R<3q^ zPB;+B{y0O^8C$P9ric~8)z2;Lu*yvy1t}NXey=PYV+AGPK{;S5x;-}cy5)HXS*Fe5 zL`Kbpc?0I_kTRj%+pwTN(C4GHvyk_M(r-1fPt^JXds?H2i$X!`jBOkrd-gDm!;i+- zTfy-zlwbBm*=ZX@CN$+7QV|liLSH=3iXrcs8KSE`vnQVFx2ohaP~a!>$m-9qiE~+h zy*181(HuPz-e1t^KO3)}!vA7cmVYhH{RLv5l^v%$sfrv;+FmsQ>$m|VXW~6tuPrQO zYht#?eY<#rqnBe_eo$d~&HCx)1NBOgq>as@TwMh@FeLrj@c3kv4K=}+=Jb)US0s!J zjhG97;Xd-WEg?SS?E#P^&R17=mXZ-O@U6JNy5|DvlO;~AjKlVo;cd^Y2)3{hQ1~RX zxIBWodp|jRZhC|+70e5Ft2TWbaT)*zh+zo3~}bY&xLE4LoU6&yo20tmW{dB@r z?@%Vc2nS}X4K?{wj*s|o!`*8B)~>DIOB@EW5pm@tZRLZN?uI>lmS?5YO+HcrdaclF z+v*T9RCaQ9a_bhqk9%;nDj81LI~X@*tHx}fDS9>bJwv+vjj^GH^4Hc7$(8=c<)W^> zlOT?XR}aq0%8T?gya^%8Y@aUf?yBz55pa*|1hD!dK?P&gQfVcU~SOF<@o*J*sJCiQlfC0SycKM3iQ8N0h z;F}mGdfJgi`i7C42IJ>QOq%<_?s`3j?t^c9@E|9@cb4_HVP43I(N=@(@0FD=b>Rlp zXBc@>$427#0sFiFg`&30w|g8KR${%vk>7^7E5Iw`g)G%xtODm%drtNixH^C+ibc|m ztKb?*O3Y%+{=1{MzwMO9Z=ojwwOt)2^^-?$v@b2!3e7!QedhP?Oge|h701ziTAs=Soy*wM>Tukd>Fyk$3EI8|m1!DX@ zfS%;}vqm0Yk8E!zsIfMsyBA=K&n~jpM}PBQiq-O_#pQCx8d9ZaHS>9N9=8rN!+@N6`_7lLb8VDTu#K8Q=Hj%{P;;knLsOfVo{0 z9kwY7bKMsDp8V1vU5wMY!-*&#m$aa>TvQ6WB6~IUXj~-Yz_Yt#Ke8IOSo7hb%w_uOP>$Z0D}P3bnx(BtiK=>;bQR4pFN%z-&^z)<7y=P^M9G zvnDR|rWfud$xca=l)vX%8!+I4!h=uy$tQ~ z7vli461g=kjqv1z- zRP9uk9Bh%fjxk0UFb5lkUJF;?pfj=lsfO5tbEPh}nO^5kKjJ-i{eWIoh|zYyD3II< zrp=#Y>f2$Gh4Rghf%F5f`2=y-Xxs{XngNAcu)Ucz(N z)aj*b*3Jf=Ne`pp=Y~}lWNxuM>5((<4kuuH)K%6O?{^d1S1zz00wd;}M&ScF!uj)l z21<=}PCmlqC(%_omS6yU7o`gmf{(i%TG12DjOJLL@3z>i?xFMcNUmzrgU23kohf!n zUQNV4EhEG}Qj>X6eK&W_`gSt6_J=f+o2iP!zzuet5c$raoLKLCzwIN1!yAq)kzVas zwXzh6MuqAu(RD7YPGYuXcKA~KnnhC7in)Tl`?)t=#^+G2)p0xGWPj{dez{q2J?fnc z`Mscbs9huJ5z@VfXcI1j${rbD_{W3Ri;ZkXkXJOYdAh}x5;yzsy7B#uRYVg&hdnyj+nS*G+WF z2Fj3@&v$w634h|yeL*d?BxOO3V$<*eX$p|m>uelzeZ-Z+C)h%f4KFbCdJ%7_FFRq z+AYLfFhjy(vqIj--pUqiLOd8zb4h9bTLPc54tvS* zh7qISQl(i)MyekNTotW6wY6AwxXu=Ed}w6J053OC4AkO$DCK9fC9;Rh?8hfaV}Tp* z^kK`>SVzQ|8$`*6bE+dx;To}sD;~-`dVnE;IoA3kVn9Fr6*T}N z{=6;@+_(b2?VK=5_#lvp?CQT(B(MjB>K^GxSKS2UUEK%G5cl!#4;4itDQF3`zrXD7ZYCl z(MTmhTX$WK<}6O{Xs_14f6UXRp@N!yE9lyTPkU+4g4wR@emJiM!kD4FCh^xhHkD5|C8JVFaGbN!Rs=_T7sW{{a`-BEuXt0I42$(}WvZ~}jryo(V z@*=W(S#FX1sGj<<@U3HDg$)mZRNW=c?Ev*Qgf!prVu1W0PH|U}+3zZChlVr8q$(!ubjk%nwX9Uz>XsJ7$)%ICmGRB~8P%(9jZ z$gLxDN%XX={d{LKUWTw9Rlm@gCTkCBVH09J`3{>sa4IXqZ#Oa$#Z6EOMzpGWNkZ`B zT9VWnFpm*sicMRnfaWk3HEQ4#)lN%R!i^M5Dp|`erSrLVz%C0NRd`Ku_wP*_th@^6 zsl59Aoy4~ziVp})ZIY(Dpi^<$5L{$MbJ&;GufwQrGf8%GB=Un{t>5eY>F;0P?M;Gw z23h8UP8beNR{w6;H)-*9(zOlC3FyH5>tt^H-j6zWNXKQr6jroV3YmM)#C7bc!1rUuGZYX;wMS>|a{}Ng_f1=#pUEF@ ze!j7*15OB5MG_+f2dy^;4%gQN%j+cSEIY+UFJwwhZ&`3Yk64z=oq`HH&<}KhN~*OXIk#Qzk5{ZbQw7y_Stt+fvs z{$GfjTa8)eG~*^ns0@r7u4l#PffpWCl>h!hY<2=aBd~A4 zrbAi)YPn3;I`ay6if{lKP@12MVuQS<)zYHCv=3jKsHYM1ddCZ{32O&;ws|=)2y>C* zNY5USWfz<;e|^@@@~IxfB&~eL+dr=f^w3$Q<9}=o?rN*ygG(C?@!p7LU59EwK$Tw! za<5Pa=l`7i%=6_7jjAC>=GLTuVT(6J$z#jZAcZ*C@}!XVFB7n3wcCJ+?@ii{r0^1S z6SYmSWK*)fv!t(PHxvZ!;*!}~>R)XHka%(Uf}pv>)941WHQ?nxy+TZA1j4Qmbe&p3 zg6&w`;_sa2cliHf&OhCYo>_VDWWFJHOrFX06&!S{p5CGD za`5RU&8zPD+WHyvw7c@uT{h_2S{~dChr$u(Jgt1W{uJm{)Ha1_(TZC4*@*JoP5*tQ z;IDJUwgY-+h%;?zz5!Z-m)vW#@vOKRz=rX@*=*HzKpp}~4*2OM8hzb?(Ap4orXxYb zmOg3a0CXMffxPAF+nwl$LL|&Aa>34;iZ$Tcfq@Tqf#_wv>>+;v_jTPey9l-w){+MN zkyZdjiyKaKhCYtXX>Yqhz)=@th4vX&6!=c0eC(F-5K%1+dTg`7bTS+ zQ7>I^3P_8#&n=T58!#F?VMFnNCf9E#$FHO)yT1J_q)4`&mud7Y-M!mIG7yC3$AAh zY0ZNR-}L)IyNhV~A3%1HIg-ZymGk1SS)--*zq1_?>qoIi8H7G?>}Nm+QsRVH$4y<( zF$*>mWh-?;*|?u%+|0Gj+28EUwg4Hi*$C?I*%P<=x)eH|_#|6KSQ;=U0dmc|b*E9D zd*bdkd!o(9I&^NQ8tF*XUrS|5z9ZK`=7QjHoo>_k(F5^wlyVeQRK`_S=%W&fx)Qqi z1)zk~!*IichEzV|69qgZpc89JRuT=GUVPD|Z(UWr_dtD92EQxC$|fJF-Pm?Sf*>uB5zRXQ z(aJqPlg(RuaBjyxrPDQRrtyc~cC_++K*l=*Dw8$N%{_W^I{BZ@_pp&(Ekgs#JNpUr z=Iaqh2OOBmt=&~57SeS^N5=cvq24(`#)amyhKzg7XD8n0wII?mPGpLK?o=xtH6SV9 zI_e!g0tQGZ>OW&GbHfaU`Dr8`Z8G-4-+s8jjn~5Fvu&?OqZ2RWW159)%KOS#@^b9| z!v+AwzYT4mwO@9CG!aoiL}^Q|)t$rxNQrA@bS5hZyYj>G4$c%8bStB5i3VSkt0?<+)A@|FARlf0$%`Kp7G9_VcyyLxOCgw68=# z6x^Ybgy;kdo2nws)jd*7d(lwi4kczvPe{?mZ?!+%rW zyLz-#F*M?{Og>oFswjnkf^PsyYq^=2KbkLErG%Y&F z4q=Q3xVhp#ly@k$dUAEd@i!g77^*5Ghgu z5(uEw1W2d>l91eeK425MfMw+2zjKtoM~ViRO=Y-^UniUF3IUyi**8zR&V`1o8_&EsEMG8kYmG7 zWzS!mGih%{0|1)XZUNr=W z6_fB#N>F*_%!%A$_=cT(y{j6Y;k;;1p5;Fcc-y-qP5#G*GG#%#Pl`(inQ%k8%DYwf zH0D4_v-B~3yF%xn{8w}cRWwETW-#p^-OC17-J?D@Z*#;Pp)cjm^~L^T+8=O|rzMf6 z5vDz;lUJUd!|RX=e>xPPF#Vl)>4xc3to~N0*L(_;{Fv1jX%LCA@oh4ZT~46G zWbT5^xf8r?2V-w^}I^01Jac|YV!p%*cn$BxHM1l1oQaI0-xdkki%dE zm1!<#6rzQ)0r-dL)&m|OzuIxXBR+SXCXBcK0+K_g&M)csztW0+L*P0x6JPIJn*)gI z^Q}{&vzNTU)RQC~3BE`!FT#*s6k>b^(t9eDC&TG|3=9O=4I3TkX>XLNcob3*3eC?N@;0CN5+D ziCvVk0G=5Gi0uMWJNI|J^}+Qc?+iw=2{k@A?d*ZXG}pyU846b~M>lZ*4FVKqMF za7ppc>)r@~eFK)W@X{eCBMCfs(%(!`#b>tyO?rb~U}0Xh67PL0=a zIrvs&b7)`}G^}$@={4**UU4zFO?Zbqt+S{N{zBD&QF2}nFnS)l0y9|h*P$QdfST__ z2^eV;fNj9T+%9pxq1uZ|`Naefj_H5(jRf!)@qZDf-4U$;ZIDwo-y6@fe}PEl$P>gS zpCyjm{nuFXukEfh;`wbWmw4DxZZRjkE<>+tU}triEFdiBhF^<7&$vJ|3bmsw6N934 z%kvZu8FM)oyRCNB-#Y5=^T3mFVWO|PJq-vhra;#GDmRJo{t$|o2)r6qbOBYcOjJT7;F8rSDGcM!D5zYZc>2jNUqPvp0vd>WR~4FRl&Ki|4^ z$-WHz zeux7$u@`<6Hf(KNeEihx&iZ5>?#3#}-3h=f$zRC+K}%8T#8n=-w%}=wqjN`zjglvw z(|4Ziy;JL%RG(O2?GT#bVP^cB)>{0#k;tpvH->IAv-vJOhM?5 zPJS&Xv9_QrXLY8aPG-3kncU)TM$Hy2?Vn1S*7`+h^Ts=r{(!>tmiQT^8K95lsf*9V zv%D|%$qCvIB$p(7tdgNBNR!jKBA`nUDfNy;Tb3*^!W!AU3lIn~Q$ z9qu{b8%52}h)1O2DqpJ2@wXdAypy8E|XMhlTo`N{5cRbu~H5pnho2hSn zqVVsx#^%78|6pi^!O-J}!2(|F9rqZp>qB;xw z8uYeO$Y*V>XXQFCBn=PexjOC|gm!fe`A;6G15muzvK99hm>5c0XHX{R+Qv}-N^Q1Q zbsm})=qB13XqgXUJsu(Hh=SzV;Acl$E?m6yy+`UfcKW%VjB{w+@)-~ER+YP67?M?6 z&jKrGh`j&s;lnyUpDRZJV@QQ?a|J9Z7x8~YbMgz2%8ceFESwYI9LJIi)+ir54LT)G z%0Y685W>o2zhpRwTS&NuF?R!)6i;=&ugoYRKOcC+JT&V>HTG!Po?7~=Z+{KHxCfdZ z3#OLOBbP(qr+OF~zr4oS^igJ=mw-RtVIu3;DtJfMq5lyK5)wgc`OyV~%kY6}FG#)6T~!CvhA-vXWP^F9f7ebQ4+$vkhGzy1_L zu*|g0{YBV8%lDiTBS6Y7M42Y6s7@;(Agg1M(%?xc@n<}Mk_&q?rD24biKQ%SoejZc z+6|y@U*R-{D8JS#R7Wz;XG6dT*~E)?pTVlK3o$Hb^RJ54z}>COlZRto%h zQk%ezU{WMMsv6@Dp;PBsH@p~muHQ-Sah3zV8!sqQz^s*ws?z*hNY$m;b0LAsZ zyozcBskk^en;^6LtuyE7otcLyOBVuhH!KZu4h!@dR)zE?4m}N#FAI{lx%Xt~{rorx z>(Bccm(vLr0C8fDxFGMYBAC3mvxzwonW5W@tNoopYq8%DiqCDQL<*}C zOH(J6Xn4$x83U!Qkeo+Ji9MIPA#CSU>q`iZ8Lc0aw>HR7>Bkgzgn9GqkGN}^q`UjecP;O zrSlDCzB>w^QWfWiq&6So^TnfOJWxD<-Hpp%Kj508;Xl%bjjHOudSL%VjPW4_6m_gM z)rz;*w3CyH#?=ac(@Nvr!Wvqx1y`LvD95-JENJS-;gdS=SD;hHy5Wrx1C8LO`q2yD z!$g_$-0IhKly$y1xj#(qff3zb#s6+=`&H#Ey+ZPrs9!u(d$HQOy7*v_CZ_9PRoJ!- zv{@H|QJ{(IZp_@=hx7aaLM_s0;#<*y73vlAG@VTWJn33mmUgn-W>yvw>9*nM1K3$} z>a+ASM3@uKNBKAEk7V#S6^^;lPL*+XZv|%Np>lF%nz!H#DJOD)36^ z{xFRf2`i%&Hu*~=SILD;j(?|PTmCIWBe>%G(eE8sFmr%QS2sd0ot=Ef#8;l` z$U}n!I5dZmnXcv6lr}vV>O>DP9Hu@CO$qB2Q>sB!;r#WAOE++%Vt*LqwEmtx96Pip z9>?!fYE*+4*YMj8aF-SBguSWU9o&8fVz@(8LjK59cM#PE;|hoW4V1P%6?gEzS4Ko@ zCB8Ae6kNAYBTRc8=qtrtb;g!lpeEi_j1y`~l#>Q-C+!Mgw(>V6lSo^@{?H-pLpsg~ zwB$7M$1WNz4sijPj|y^mhRYwk<==ffEOD}8wwydz&H{JrS|XyGJ)4)ti?Ac6w*Gx@ zh`6s65M`r)wxffhHd35ZvGCd(1o|Wimt~bu5Zw2~_!HHnd0L?s4#<82C_8ZTp0jYE z@1)?GfQD5)nyj?o9_Et|Wxkqy#l_+U)rk*b04#Lb)8DiD-~BPwdD=sm$0%okm~eLS z*oWimka^#P=r0X2QA9`v%Pt-K#16I$f%0dnB_0hzrLnBx40Bn^9h(3p1ne0&uEFrA z6FLW=k5#YKqJB)jIcUd>$2bt@ou)3B<@L15->)|)Phpgn(8vYm7%7C4LZO!j7o#D5 zmw*i9`9;Vi`qUC0?z9uU24>XLnP;bSac-RRHp$C-Z93EVlpN%9_)e(FcE*FlY94sA zlwBivgOIOQV=V3L%WAo7pJ`g&xbMiIsDFFXoa+X_dDmheLlo5`+^a_ zZlJ|53BOU{mdY;3f6@lTs=Uz{3V%R~ayZp$xeKXE(a49mZ6#8aNMD%Q?iCN}9?}A@ zA4YKRqP_YLRqARmX8WHejp0Z2H|HEGGDRd{C6O+8Ts^^R7Bq>pn1P=po zf6t)^7uX%|)hVOs+eG-hN`oQJjW2*{aXX4cyzZG|vS3D3({mvJ)eVEG0fIts|NZ%A z=wP=-;uGlkX`p^EhVFMRlBYSkl_o9|$g$tlqJGMs+zpNcC`#1*tZf2B2i}sD2-Uzu zJ>r3J2AT7;0o;spe(nx%-8ry9Z>ZmGJ*Y`&LU;fF+kU_Vao5fQhbk-BOkyLrX4a$D zcqE4&k5n|$$2+9#t3DKA6!O_{&39HVgvg@7Cl$(Bq4!6Q*>acnz_}6)J!WP6nE!IO zCx;OE{%OY&|99f6Hr%6wltzF#V8R=FwWj@XC+6>GI>OU; zYj`ZxST~98^e4PWL*~~eR3G4tH34S$A$AG84>l$wP%QL4pVor|{$zEe*}& zz{Md#b;u{JCINNupw($VFJ}ZXe?1jMK5XL~ky*e(d_L~H1{2PHF@`PX-K>=b3eT(nd05!^W^(SZSH4x4hVFTB3?{XFiXtg4;$ zRPJ&2or>~4^~Jb<0F6D#smfdDhCd{BKxsr5%z@HqGJI|U2BBl)qdR#EYy3XyvTTKHKG0~+z$+Cz1A(LI3X_Cd)J!?_^*t+u za&k*RcIh4-2f<62>eXx8Ej!nZ=7Xem2VkD#JRvzWs`_~ee)uVj^yQ*e?FUm2d3<_( zJuZC5#k;rDPutG5d6PC?a_R$)raEWucgUI>Eqk_@7M7~g;z2readY2D8DuP+z$9!$ zl3)jnGZs=UpR=~=Z_xAY|BPB-powV@0S%LKr3If|%(~uy!n9hlJ1qmEWj-Xu;)&wK zw=S+XL5plVej~3vx#w4rQ>u%P{ouIT(Bxq zfv1if$w&^EMM8SIGWciYmKExt`XWo1wrqRyxeVS})@Y-`B?hy*%VUmJwX{gY77^>~ z>(v(qbt$%t`r1J_CutvmZV;mly$obCvG<=iJNnl?*~Px|XN97?xjFdX6yqRT zWY+xeqE-hUL>M+f@*%^ChrydLFPo8hrs*7*(g+73G|tU{&kJW5npq)dWH=u$iHcbm ze!36YdB!A!LIe* z*LP_R=?AgOsL3f=&6_)O;C(pD2IWOWZqbwOL{!|`yMbIbd8iGVu2d+A!`G`h%*7S% z+YsjmEgt)kCM(_Zy)VrXy^X_)J$_yQrbf#3L`3%N929`_vD0YyhHDx@tS+R~P!E}| ztViag&f~{c?Du0my((ol++@{Gqm_WVIALb-0`P9A@TCi|ih+8UFl(~vbNR!oA z(Wk65UsDCGGABT>vkY)XW_}M}8z!t}ssLi=%S_R9Kxo_+D6G5ue!7Izzy{#SM;;%9 zS8Zo+fRWG;6{?2ufK{CPaU3Sq^C|+aS9^JRIoUAY*j)dva1GHyqp8M>9^2P~Xv|Sb6{X^(MzbvQ@ zN|dzxykudhq&WdSfiM^FE+noAg}{M+DDpQc5s`@Tg*aG0?s$I`Ta+7Nj2YC}D(!5QYy$VI#+~Jo9z6hM@K@ zOl-by#Sj(Qv)%l|Wp>>o%^2=J34;{0amXyIyaF1eLl>+^TbC)!A(qqOW!nQS{46M^ zQ|n5lgRMuc3DMEf6kD@ z`Me2JF&VWwN{q1X?2tybeHE0j>Ty~g&60J+j#kMq5cE!yA7^TX40d%hx`D%O3-(IW z>5}Vrj#uuA^Mg0)bR5;|b$n~PTtwul<#4E75X80LJhb&?{gisfQr{tj*I;CmsYsN~ z9*aN89`MT|kp}V+j<%?uS147l(8MpxcU&W#wknidoMWCPUzy4MEK8aDwP%V>9PEPG zX%?HEMLw4s9}BzWsi;CHl+`z3_LYNlH$y%}8n7;4SzW~)udhquu&v`-XCf9rK0&(( z?Uynd+_EkRLuO31C*418W$Kywu_|TI7sKF*9)9E(gw+EvQA{Aa+cD)=lpXfk`5Tx5 zgB^ZeW8mfL6bpuepMmT5GeZv<^LQ(u!uY?|7lWXMjb7X#_b$DP8l&v!EQi8qt4jEr zw^8_pqcjzXV*L-ew8=)UHAb~{+1ry18bg8>u5|$cQ}8HiY@+sYD9J;Dd|25#>T1`P lC~TMv5=H-Ce>SNJr6a8zUTL=DGm#Ja-NfQR*1i*0{tw827YP6W diff --git a/docs/proofs.nb b/docs/proofs.nb index 725d9b4..495733d 100644 --- a/docs/proofs.nb +++ b/docs/proofs.nb @@ -10,10 +10,10 @@ NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 158, 7] -NotebookDataLength[ 73397, 1918] -NotebookOptionsPosition[ 67778, 1812] -NotebookOutlinePosition[ 68424, 1833] -CellTagsIndexPosition[ 68381, 1830] +NotebookDataLength[ 2022179, 36352] +NotebookOptionsPosition[ 2008606, 36113] +NotebookOutlinePosition[ 2009252, 36134] +CellTagsIndexPosition[ 2009209, 36131] WindowFrame->Normal*) (* Beginning of Notebook Content *) @@ -954,7 +954,80 @@ Cell[BoxData[ RowBox[{"x", ">", RowBox[{"1", "/", "2"}]}], ",", "1", ",", "0"}], "]"}]}]], "Input", CellChangeTimes->{{3.887193033873515*^9, 3.8871930414401293`*^9}}, - CellLabel->"In[38]:=",ExpressionUUID->"3dc483cd-1a21-474e-9d9b-7f59d47cd801"], + CellLabel->"In[66]:=",ExpressionUUID->"3dc483cd-1a21-474e-9d9b-7f59d47cd801"], + +Cell[BoxData[ + RowBox[{ + RowBox[{"Margin", "[", + RowBox[{"v_", ",", "x_List"}], "]"}], ":=", + RowBox[{"Module", "[", + RowBox[{ + RowBox[{"{", + RowBox[{ + RowBox[{"\[Mu]", "=", + RowBox[{"Mean", "[", "x", "]"}]}], ",", "\[Delta]"}], "}"}], ",", + "\[IndentingNewLine]", + RowBox[{ + RowBox[{"\[Delta]", "=", + RowBox[{"\[Mu]", " ", + RowBox[{"Abs", "[", + RowBox[{"v", "-", + RowBox[{"1", "/", "2"}]}], "]"}]}]}], ";", "\[IndentingNewLine]", + RowBox[{"If", "[", + RowBox[{ + RowBox[{"v", ">", + RowBox[{"1", "/", "2"}]}], ",", + RowBox[{"Evaluate", "[", + RowBox[{ + RowBox[{"1", "/", "2"}], "+", "\[Delta]"}], "]"}], ",", + RowBox[{"Evaluate", "[", + RowBox[{"v", "+", "\[Delta]"}], "]"}]}], "]"}]}]}], + "\[IndentingNewLine]", "]"}]}]], "Input", + CellChangeTimes->{{3.887868371110223*^9, 3.887868406016288*^9}}, + CellLabel->"In[68]:=",ExpressionUUID->"00969fc8-d260-4432-b721-60900870f536"], + +Cell[BoxData[ + RowBox[{ + RowBox[{"Margin2", "[", + RowBox[{"v_", ",", "x_List"}], "]"}], ":=", + RowBox[{"Module", "[", + RowBox[{ + RowBox[{"{", + RowBox[{"\[Mu]", ",", "\[Delta]"}], "}"}], ",", "\[IndentingNewLine]", + RowBox[{ + RowBox[{"\[Mu]", "=", + RowBox[{"If", "[", + RowBox[{ + RowBox[{"v", ">", + RowBox[{"1", "/", "2"}]}], ",", + RowBox[{"Mean", "[", + FractionBox[ + RowBox[{"x", "-", + RowBox[{"1", "/", "2"}]}], + RowBox[{"1", "/", "2"}]], "]"}], ",", + RowBox[{"Mean", "[", + FractionBox["x", + RowBox[{"1", "/", "2"}]], "]"}]}], "]"}]}], ";", + "\[IndentingNewLine]", + RowBox[{"\[Delta]", "=", + RowBox[{"\[Mu]", " ", + RowBox[{"Abs", "[", + RowBox[{"v", "-", + RowBox[{"1", "/", "2"}]}], "]"}]}]}], ";", "\[IndentingNewLine]", + RowBox[{"If", "[", + RowBox[{ + RowBox[{"v", ">", + RowBox[{"1", "/", "2"}]}], ",", + RowBox[{"Evaluate", "[", + RowBox[{ + RowBox[{"1", "/", "2"}], "+", "\[Delta]"}], "]"}], ",", + RowBox[{"Evaluate", "[", + RowBox[{"v", "+", "\[Delta]"}], "]"}]}], "]"}]}]}], + "\[IndentingNewLine]", "]"}]}]], "Input", + CellChangeTimes->{{3.887869958672957*^9, 3.887870067087434*^9}, { + 3.887870099530405*^9, 3.8878701046585073`*^9}}, + CellLabel-> + "In[116]:=",ExpressionUUID->"1bc617eb-3d0f-4c0d-9a41-c8eeca827c4c"], Cell[CellGroupData[{ @@ -965,7 +1038,7 @@ Cell["NOT", "Section", Cell[BoxData[ RowBox[{ - RowBox[{"f", "[", + RowBox[{"not", "[", RowBox[{"w_", ",", "x_"}], "]"}], ":=", RowBox[{"1", "-", "w", "+", RowBox[{ @@ -973,8 +1046,9 @@ Cell[BoxData[ RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{"2", " ", "w"}]}], ")"}], " ", "x"}]}]}]], "Input", - CellChangeTimes->{{3.887192954454529*^9, 3.887192962883155*^9}}, - CellLabel->"In[48]:=",ExpressionUUID->"ab21144c-98ed-4bc9-b1fc-e6eab0263ec0"], + CellChangeTimes->{{3.887192954454529*^9, 3.887192962883155*^9}, { + 3.8878683153482018`*^9, 3.887868316084935*^9}}, + CellLabel->"In[64]:=",ExpressionUUID->"ab21144c-98ed-4bc9-b1fc-e6eab0263ec0"], Cell[CellGroupData[{ @@ -982,26 +1056,55 @@ Cell[BoxData[ RowBox[{"h", "/@", RowBox[{"{", RowBox[{ - RowBox[{"f", "[", + RowBox[{"not", "[", RowBox[{"1", ",", "1"}], "]"}], ",", - RowBox[{"f", "[", + RowBox[{"not", "[", RowBox[{"1", ",", "0"}], "]"}], ",", - RowBox[{"f", "[", + RowBox[{"not", "[", RowBox[{"0", ",", "1"}], "]"}], ",", - RowBox[{"f", "[", + RowBox[{"not", "[", RowBox[{"0", ",", "0"}], "]"}]}], "}"}]}]], "Input", CellChangeTimes->{{3.8871901662941933`*^9, 3.887190191232834*^9}, { 3.887192969804278*^9, 3.887192977784906*^9}, {3.8871930545071993`*^9, - 3.887193097546914*^9}}, - CellLabel->"In[49]:=",ExpressionUUID->"22aa237a-dbaa-423d-85b5-5b4ff6635216"], + 3.887193097546914*^9}, {3.8878683177068233`*^9, 3.887868330935533*^9}}, + CellLabel->"In[67]:=",ExpressionUUID->"22aa237a-dbaa-423d-85b5-5b4ff6635216"], Cell[BoxData[ RowBox[{"{", RowBox[{"1", ",", "0", ",", "0", ",", "1"}], "}"}]], "Output", CellChangeTimes->{{3.8871901690915422`*^9, 3.887190191799479*^9}, 3.887191153953327*^9, 3.8871929785768423`*^9, {3.8871930556715384`*^9, - 3.887193065116001*^9}, 3.887193099851315*^9}, - CellLabel->"Out[49]=",ExpressionUUID->"985b9733-2377-4dc4-b8ec-fbf20ee628dc"] + 3.887193065116001*^9}, 3.887193099851315*^9, {3.887868331454492*^9, + 3.887868337020248*^9}}, + CellLabel->"Out[67]=",ExpressionUUID->"be63e0b1-7fe6-4099-958b-5efd9355ed6e"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"h", "/@", + RowBox[{"{", + RowBox[{ + RowBox[{"notExp", "[", + RowBox[{"1", ",", "1"}], "]"}], ",", + RowBox[{"notExp", "[", + RowBox[{"1", ",", "0"}], "]"}], ",", + RowBox[{"notExp", "[", + RowBox[{"0", ",", "1"}], "]"}], ",", + RowBox[{"notExp", "[", + RowBox[{"0", ",", "0"}], "]"}]}], "}"}]}]], "Input", + CellChangeTimes->{{3.887868846120967*^9, 3.887868854985878*^9}, { + 3.8878689011699877`*^9, 3.88786890846568*^9}}, + CellLabel-> + "In[108]:=",ExpressionUUID->"f01b4f46-d86e-4f68-99cc-9e0f911a099c"], + +Cell[BoxData[ + RowBox[{"{", + RowBox[{"1", ",", "0", ",", "0", ",", "1"}], "}"}]], "Output", + CellChangeTimes->{{3.8878688554410667`*^9, 3.887868871951453*^9}, + 3.887868908951708*^9}, + CellLabel-> + "Out[108]=",ExpressionUUID->"9ed905e3-3f37-43ee-9c06-24bd009c89aa"] }, Open ]], Cell[CellGroupData[{ @@ -1079,6 +1182,6895 @@ Cell[BoxData[ CellChangeTimes->{3.887191088001392*^9, 3.8871911562879543`*^9, 3.8871929796569138`*^9, 3.887193066051948*^9, 3.887193101226165*^9}, CellLabel->"Out[50]=",ExpressionUUID->"0c07cb5a-ddd8-4701-9402-b05fb6aefeeb"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{ + RowBox[{"Not", "[", + RowBox[{"Xor", "[", + RowBox[{"w", ",", "x"}], "]"}], "]"}], "//", "BooleanConvert"}]], "Input",\ + + CellChangeTimes->{{3.887868782224805*^9, 3.8878687942813387`*^9}}, + CellLabel-> + "In[101]:=",ExpressionUUID->"f30720a6-0e3d-43a8-8805-2ffada363909"], + +Cell[BoxData[ + RowBox[{ + RowBox[{"(", + RowBox[{"w", "&&", "x"}], ")"}], "||", + RowBox[{"(", + RowBox[{ + RowBox[{"!", "w"}], "&&", + RowBox[{"!", "x"}]}], ")"}]}]], "Output", + CellChangeTimes->{{3.887868784687893*^9, 3.88786879486473*^9}}, + CellLabel-> + "Out[101]=",ExpressionUUID->"e384aa49-480b-491b-8238-5de0822235fa"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"Manipulate", "[", + RowBox[{ + RowBox[{"Plot", "[", + RowBox[{ + RowBox[{"not", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"PlotRange", "->", + RowBox[{"{", + RowBox[{ + RowBox[{"{", + RowBox[{"0", ",", "1"}], "}"}], ",", + RowBox[{"{", + RowBox[{"0", ",", "1"}], "}"}]}], "}"}]}], ",", + RowBox[{"GridLines", "->", + RowBox[{"{", + RowBox[{"{", + RowBox[{"1", "/", "2"}], "}"}], "}"}]}]}], "]"}], ",", + RowBox[{"{", + RowBox[{"y", ",", "0", ",", "1"}], "}"}]}], "]"}]], "Input", + CellChangeTimes->{{3.887868925588142*^9, 3.8878689657104197`*^9}, { + 3.887882289128047*^9, 3.8878822907219067`*^9}}, + CellLabel-> + "In[153]:=",ExpressionUUID->"bea7393f-0f03-4597-b426-89412b3abee9"], + +Cell[BoxData[ + TagBox[ + StyleBox[ + DynamicModuleBox[{$CellContext`y$$ = 0.47800000000000004`, Typeset`show$$ = + True, Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", + Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = + "\"untitled\"", Typeset`specs$$ = {{ + Hold[$CellContext`y$$], 0, 1}}, Typeset`size$$ = { + 360., {113., 116.64199019669311`}}, Typeset`update$$ = 0, + Typeset`initDone$$, Typeset`skipInitDone$$ = True}, + DynamicBox[Manipulate`ManipulateBoxes[ + 1, StandardForm, "Variables" :> {$CellContext`y$$ = 0}, + "ControllerVariables" :> {}, + "OtherVariables" :> { + Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, + Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, + Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, + Typeset`skipInitDone$$}, "Body" :> Plot[ + $CellContext`not[$CellContext`x, $CellContext`y$$], {$CellContext`x, + 0, 1}, PlotRange -> {{0, 1}, {0, 1}}, GridLines -> {{1/2}}], + "Specifications" :> {{$CellContext`y$$, 0, 1}}, "Options" :> {}, + "DefaultOptions" :> {}], + ImageSizeCache->{406., {156.6875, 162.3125}}, + SingleEvaluation->True], + Deinitialization:>None, + DynamicModuleValues:>{}, + SynchronousInitialization->True, + UndoTrackedVariables:>{Typeset`show$$, Typeset`bookmarkMode$$}, + UnsavedVariables:>{Typeset`initDone$$}, + UntrackedVariables:>{Typeset`size$$}], "Manipulate", + Deployed->True, + StripOnInput->False], + Manipulate`InterpretManipulate[1]]], "Output", + CellChangeTimes->{3.88786893104801*^9, 3.887868966227764*^9, + 3.8878822911251383`*^9}, + CellLabel-> + "Out[153]=",ExpressionUUID->"2070fd3c-a0ab-47ce-9ca3-eec10a7de91d"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"With", "[", + RowBox[{ + RowBox[{"{", + RowBox[{"y", "=", "0.4"}], "}"}], ",", + RowBox[{"Plot", "[", + RowBox[{ + RowBox[{"{", + RowBox[{ + RowBox[{"Max", "[", + RowBox[{ + RowBox[{"Min", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", + RowBox[{"Min", "[", + RowBox[{ + RowBox[{"1", "-", "x"}], ",", + RowBox[{"1", "-", "y"}]}], "]"}]}], "]"}], ",", + RowBox[{"not", "[", + RowBox[{"x", ",", "y"}], "]"}]}], "}"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"GridLines", "->", + RowBox[{"{", + RowBox[{"{", + RowBox[{"1", "/", "2"}], "}"}], "}"}]}], ",", + RowBox[{"PlotRange", "->", + RowBox[{"{", + RowBox[{ + RowBox[{"{", + RowBox[{"0", ",", "1"}], "}"}], ",", + RowBox[{"{", + RowBox[{"0.35", ",", "0.65"}], "}"}]}], "}"}]}], ",", + RowBox[{"AxesLabel", "->", "Automatic"}], ",", + RowBox[{"PlotStyle", "->", + RowBox[{"{", + RowBox[{ + RowBox[{"{", + RowBox[{ + RowBox[{"Darker", "[", + RowBox[{"Gray", ",", "0.8"}], "]"}], ",", "Dashed", ",", "Thin"}], + "}"}], ",", + RowBox[{"{", "Black", "}"}]}], "}"}]}]}], "]"}]}], "]"}]], "Input", + CellChangeTimes->{{3.887882447331236*^9, 3.887882654780033*^9}, { + 3.887882708617998*^9, 3.8878827892122383`*^9}, {3.8878852214071827`*^9, + 3.8878852767243767`*^9}, {3.887885593282557*^9, 3.887885679951885*^9}}, + CellLabel-> + "In[179]:=",ExpressionUUID->"d5ef5e94-9a60-4ee3-b7b0-a3e44ec0aebd"], + +Cell[BoxData[ + GraphicsBox[{{{}, {}, + TagBox[ + {RGBColor[0.09999999999999998, 0.09999999999999998, 0.09999999999999998], + Thickness[Tiny], Opacity[1.], Dashing[{Small, Small}], + LineBox[CompressedData[" +1:eJxTTMoPSmViYGCQAWIQ7ZX64uKBl6F2xmDw2H6BqH9bl2SLPYzfyLFZvVNy +CpwfEblw/YePS+B87v+NMe5y6+F81cB3Lw53b4Hzy89Z2s/4shPOF98ieI+R +cT+cv+2R85nzNofg/ENZc6Uj3xyB87+q2fKvzT0O5zP9XC0grXoKzjf7n7At +eN0ZOP9Mi8m5Y1rn4Xz5Ca9/rnx3Ac5//f3+vasGl+D8Ja92n+Lruwzn88ku +f//kyRU4vydza9oClWtw/jeH1U8y6q/D+SVGR7aIHb4B5/cHtmQdlboJ568q +cFEoKULwe0v+fMusRfALKracje9A8JOqBHbe6kXwQ2pyloRORvBvns1XTJiC +4AMAM5W23Q== + "]], LineBox[CompressedData[" +1:eJxFk2tME1YAhatBUZ6iEgoqpBAEsTJ8RHxsHGEYh5QMSBUVWQnDgogS8VFd +JBZk2fDBIxDdpowKiqj4Cg9LgBZmRUAmEAfm3lba3sumYEETUXzBrImJP07O +z3N+fJ8oKSN2x1SBQLDcmk8dv+OOy8M/CWKjPBWngzj8c5TytgoCi0bbNT+Q +wyPXEBN6meBls0ucbDHH5C8l/sG1BFOa6nYN+nLoCmz6vTsJPNUTJaMeHPVF +ia2l3QS+t7/3WirkqCpuqhb2EYjrz1/e58px4sz+Y04mgjW16zVvnDliywaD +3r0iiLt56snUaRzG67oTvSKKwqoFa9yeM/SM2FiW+VEI8yby5BaGFvF6SYmY +QrXzMakbYlBduesQF0xxM6D0sHSQIamy7ZRBQtFdPb+hiDD8V9pe8ERB4Xhr +3ioHHcPIya7iib8pjje4r5zyO8P7tH/OLvpJj5xO12XPwhgWh9pOyhsNSJN9 +UErKzdhQLkq55TYAQ2CGxG/MBMUCmbd5uxHhe3v2FMSYILZssn8UZUKVn3Qo +JtmIOc4vZujemUDNXqMKuwHYaM/e8DlnxpvsdpX6ngG7VjSSmZEMAWfyJJad +erT09FWroxiUP0gr85P1cN394mhKNEO/r5dgqUwP7UXfhXc3MeTU1tYckOox +x60wU5nIQHuNHv+H6NH4Ntl+/ADDcYeVQy5z9bDXOn0zqGIYzmY/B2soEuMX +zSquYFgXcc1I1BR149/y0EqG07MOrT5SQyELOpxXdpUhrMxxpKWKouY879tW +z/BH0yrpxmKK+Fz1nt77DBvH870TUimuRiSpNK8ZrqSv1ebMplghFoXgLcNv +l5qPZTtSaJxMeu17hlyG75QzKHoeJri1CjgSt4T3Zk0SjCVszb9jxyEMj+KH +hgmy1gnF4Y4c0492X1L8SzDd51GHzsrFWENM+kErJ+5PpdPa5nI8+Grzq339 +BCGZ0UfaPTly58lsM/4iuCd19ogQcWRuNt/f3UwQHfzgdoePda/ox8J0NUHS +h8iXnf4cX9umuqddJ3g2YFcUaeU4IGz4caqV6/2tHYFdS6x/stLLUy4QTFb8 +2iWxemCjHpXLy754sf2zJx8BSBujAA== + "]], LineBox[CompressedData[" +1:eJxTTMoPSmViYGCQAWIQLSLp8f686WP7WTNB4Ka9sl6Ls78Vgr9GwPnheRsE +f9/VAzIXHRH8C7PsIi65IfhJh3VM7uQh+F9fSwk8m4bgX5XfyLn3LYK/Ndid +eYrLEzi/3qN1/pZnCL7iXa8bi1ufwvlW5i1TJI2ewfkxcud/Ml5G8L+e6n1U +0Pgczp/BElcSpPICzhe+t3UR0xEEn7W2McSy8CWcz7Aybv0joVdwftGs9b1C +hxD8vdodHIJ5r+F8Qa8inSa+N3D+Hd0Llyv3IPgb5tmrPIl7C+fHrjcTlP2H +4De0Lmy8s+odnL/2hexsPp/3cL5Si4gH+zIEf7o899f//xF8AP8b85s= + "]]}, + Annotation[#, "Charting`Private`Tag$298500#1"]& ], + TagBox[ + {GrayLevel[0], AbsoluteThickness[1.6], Opacity[1.], + LineBox[CompressedData[" +1:eJwBwQE+/iFib1JlAgAAABsAAAACAAAASmXo0cDpVT6EOQIxMzPjPwRDGnDf +GTQ/jDKdjbIy4z8zn5icsxlEP5IrOOoxMuM/S83Xsp0ZVD+eHW6jMDHjP1dk +972SGWQ/uQHaFS4v4z/dL4dDjRl0P+zJsfooK+M/oBVPhooZhD9WWmHEHiPj +P4EIsyeJGZQ/JnvAVwoT4z9YWaGv8PGkP677zf0s8OI/C/+BXEcerz9pxqQb +n8/iPyVR7ujDi7Q/ktfGs7Sv4j93zjk/mPS5P6MnOMsVjeI/F7QR3gEBvz/m +wXJaxmziP7biQ8zPPMI/EJv8aMJJ4j/Cap0bWezEP6q60fFhJ+I/9SY9D61t +xz90JHDyUAfiPwL5qxAbJco/J81dcovk4T82/2C2U67MPwrAFGoVxOE/zIQ0 +zsYqzz9c+RbcQqThPx+Q6/mp7tA/lnFozbuB4T/r99/e1TDSPwI0gzaEYeE/ +pOq7yg6O0z9WNe0emD7hPw4dp+/k5NQ/GH2igU8c4T+MabVmoCTWPwwPIVxW +/OA/9kCr5Gh/1z/n3+61qNngP3QyxLQWw9g/9PqFh0q54D/ZzW8hYJTZP9HR +dMlcpOA/tpHahg== + "]], + LineBox[{{0.4003188775510204, 0.5199362244897958}, {0.429331209352014, + 0.5141337581295972}, {0.44893812949614426`, 0.5102123741007711}, { + 0.47019610473083556`, 0.5059607790538329}, {0.4900439105662921, + 0.5019912178867415}, {0.5095019551657791, 0.4980996089668442}, { + 0.5306110548558273, 0.49387778902883456`}, {0.5503099851466406, + 0.48993800297067186`}, {0.5716599705280151, 0.48566800589439696`}, { + 0.5926201946734201, 0.481475961065316}, {0.5996811224489795, + 0.48006377551020407`}}], LineBox[CompressedData[" +1:eJwVxX1QC2AAB+ClfOXKjfnoqNRlCfMxpHT8oiKJ05SIpqOulIrVuXKiVctH +dSNjbSoRUdFCI1kO13GFi+LsXdvKStZqXt3VzTiFP5573A6m8uImMBgMr3/+ +z3IKpu1resHfPzt582M9lLu22EoC+zAYWD9mCdHjdLDoWkN/H+QnpWwXez3c +dCHqStFXsDfOCiho02Hd2jyJE7cfObkr+WKRDvtd2q02nf3YFNWTwA3SYbSt +yHBU+A0ddRzBkXEtSuz46TwPI1qkDklBz7SYqVfemNBiRLFD3p64U1pMzBKG ++x4bANdGFjjfVwtGNV9hmGHCqnP+CwQ/uyCQK4pmvDRhkjj/F/9BF5qXnJ3C +TBmE0u1Qa3FyF5ghgqU5jkN4FdxxJo7TBS3nfWemagh3zN2B7d80qC+HRx/f +DDM7e/hzlQbRCm+m85gZjuZHxZ7xGmSLrgu1Nd/BWFnIdXTX4J7R+apjKEXE +1JEXl74QnC0Txeh3UMR6xpK0HoJYnnlhXRiFIOjjj13dBPNVqvrtkRRiYYMr +S0dwXrzvVeFBilZrepZETZDgLRu2z6RYbxr1udxO4J7HCp5cRcF+Y1FcaSYY +8znp8PkOxeqB+NfHVQTE3NtRVUsRMFmt3/2U4ELkw+jN9yliAhod5jwhGF/M +SxOpKORPM5KkDQTaD+Jy206K6Xet7JJagsZ8y6HOTxTObYc3ZNQQSPwOeFWq +KZYaScSeaoJtt5Y1bNJTbPVoypt7m6Ap412rcIAit/SEoeQGwRXOGnHYEMXF +JpM14zrBMUNpuBulqFBHMfdWECwKPdL9fISimeXn71ROYGfz8eYFC8Vbbm2k +tZSgR+mXGPOLQrNzXiq5SqBKrFy+4g+FMaUg/4mcQOo6bXR8nMJS+LtMJiP4 +CxffWFk= + "]]}, + Annotation[#, "Charting`Private`Tag$298500#2"]& ], {}}, {}}, + AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], + Axes->{True, True}, + AxesLabel->{ + FormBox[ + TagBox["x", HoldForm], TraditionalForm], None}, + AxesOrigin->{0, 0.35000000000000075`}, + DisplayFunction->Identity, + Frame->{{False, False}, {False, False}}, + FrameLabel->{{None, None}, {None, None}}, + FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines->NCache[{{ + Rational[1, 2]}, { + Rational[1, 2]}}, {{0.5}, {0.5}}], + GridLinesStyle->Directive[ + GrayLevel[0.5, 0.4]], + ImagePadding->All, + Method->{ + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> + AbsolutePointSize[6], "ScalingFunctions" -> None, + "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ + (Identity[#]& )[ + Part[#, 1]], + (Identity[#]& )[ + Part[#, 2]]}& ), "CopiedValueFunction" -> ({ + (Identity[#]& )[ + Part[#, 1]], + (Identity[#]& )[ + Part[#, 2]]}& )}}, + PlotRange->{{0., 1.}, {0.35, 0.65}}, + PlotRangeClipping->True, + PlotRangePadding->{{0, 0}, {0, 0}}, + Ticks->{Automatic, Automatic}]], "Output", + CellChangeTimes->{{3.887882547995921*^9, 3.8878825798455963`*^9}, { + 3.887882616371683*^9, 3.8878826553888903`*^9}, 3.887882715778764*^9, { + 3.8878852241470203`*^9, 3.88788524269452*^9}, 3.887885278012412*^9, { + 3.8878855988647537`*^9, 3.887885636596538*^9}, {3.8878856667205048`*^9, + 3.8878856804665537`*^9}}, + CellLabel-> + "Out[179]=",ExpressionUUID->"7647a8db-5277-473a-8fd0-989af6e00104"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"{", + RowBox[{ + RowBox[{"Plot3D", "[", + RowBox[{ + RowBox[{"Max", "[", + RowBox[{ + RowBox[{"Min", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", + RowBox[{"Min", "[", + RowBox[{ + RowBox[{"1", "-", "x"}], ",", + RowBox[{"1", "-", "y"}]}], "]"}]}], "]"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"{", + RowBox[{"y", ",", "0", ",", "1"}], "}"}]}], "]"}], ",", + RowBox[{"Plot3D", "[", + RowBox[{ + RowBox[{"not", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"{", + RowBox[{"y", ",", "0", ",", "1"}], "}"}]}], "]"}]}], "}"}]], "Input", + CellChangeTimes->{{3.887882296912402*^9, 3.887882361993671*^9}, { + 3.887882393769836*^9, 3.88788240779985*^9}}, + CellLabel-> + "In[158]:=",ExpressionUUID->"27554494-5d2f-40cb-a3ee-c1049254622d"], + +Cell[BoxData[ + RowBox[{"{", + RowBox[{ + Graphics3DBox[{GraphicsComplex3DBox[CompressedData[" +1:eJyVnXucj9X2x4fcoqRTMW7p1FTUpHEpFDYdt5GUconIvaNOg5JriRAS0nQl +Ma4Rx1Fpym0Mud/G/dK4D+ZijAqpJD9erfee1/nMb7/OOfPPeq3Pfub5Pns9 +a6+99tp7reevXXo92T1/RETEymIREddcoS9Urjvxztgv3bSn530zOrpP3WoP +7WuWmnjazc/YfzkqdpXHd795bXJi3CkXteTmat/EbfJ4/+0PVYuPynRb19z9 +VVTsDo+XLv/i7LjUk25M5TWb41L3eHxpj09Lx8Yfd40+6nIyMS7V4x0WbR0b +FXvM5Yu4+nfE439cvvp32HW0dvBH7P+X2/3AR9rvlbXfB99ozzfQnhe8nPVn +r/UPfKb1/wGTB/jTIi/kp3IDV7mBq9zAVW7gKjdwlRu4yg1c5QaucgNXuYGr +3MCR27s5s/dfvnzG46pnyGm3/L/iyA1c5QaucgNXuYGr3MBVbuAqN3CVG7jK +DRy5PSD6Ml/kpjhyQx795X0ozv8pjtzAVW7gKjdwlRu4yg1c5QaucgNHbnvl +/UeJ3BRHboojN/pdWvRbceSmOPdTHLmBq9zAVW7gKjdwlRs4chso73OryE1x +5KY4clMcudG/pWIvFEduiiM3xfkdxZEbuMoNXOUGjtzKyvsZI3JTHLkpjtwU +R26KIzf60UHsr+LITXHkpjhyU5zfVxy5gSO35SLvRiI3xZGb4shNceSmOHJT +HLnxvDwnclMcuSmO3BRHboojN8V5LsU7ilyhyFNx5Kk48lQceSqOPBVHnooj +T573EfEbFEeeiiNPxZGn4shTcZ5L5YfcwKHITXHkpjhyUxy5KY7cFEduPNdI +8cMUR26KIzfFkZvijcTeq/6pfvG8Kj/kBg5FboojN8WRm+LITXHkxu9vFL9W +ceSmOHJTfIz4C2rv1G6Fxl9Iv+iHyg+5gUORm+LITXHkpjhy43fKyTpBceSm ++FbxN3V+1XkvZNdD9ik0/kL6Rf9UfsgNHIrcFEduiiM37jdT1l2KR8l6Rf05 +9ZtCfkFo3gvZ75B9Co2/kH7Rb5UfcgOHIjfFkRv/97Ssu3RdEvK7Q35lyG8K ++QWh+S1kv0P2KTT+QvqFPFR+yA0cil7puja0bgutS0J+d8ivDPlNofk/NL+F +7HfIPoXGX0i/kJPK78TiQpvvip3u9a7L++69uNQcz9MOXuhI70Kx8dn+/7Zd +HrD5m7ilee6H3nI974Pru8rvbLP/4/m4D5Trj9r/Q+fcO31gVGyW5zu16F+6 +Z+pa329w7AzXowdcz/Pr/Xn+HnYdtGn/ndmXL6d7/sUb294VEbHNvwdw7D/X +o2dcz3Pq/XnO3nYdNHtVgU6piSc8X3HQzy42fpfXC3DmZa5Hj7me59T785zR +dh10fPEHdybGpXn++LH32sZH7fd6Co6/xPWME67nOfX+PGeGXQeNaff3RvFR +Rz2f8GiVPqmJB/24AceP5XrGIdfznHp/nnOmXQdlvMKzvtB2XXfofXge9f+1 +fzxnI+kHONeH/Hb9HX5f+6fvk/cyRt4bONeH/GGuh+c59X2q/qKHW0VPwbk+ +5GdyPTzPqfqr45VxFyXjEpzrQ/4b18PznDpe1T5hZ+aLHQLn+pBfxPXwPKfa +J+wlOPb2BbHH4Fwf8je4Hv6o2O+jcn9w+BMBu47d53q1/+BKQ+0ax9bnVrlr +HFLfq+qlxpFU76EzxT7NlPGrdiha7He06L/a6R4yv/UQ/dF5DDl/v+2jKpVi +493A+n0SE+POuEFGaU+2dq5DzsoPkv+n3a+TDNf/1+v4f353kPwf/FHR0wLi +f9BeQPwM2quJX6L7QSq/2eJP0D5b/Abad4ufofsj+t6aiN9AexPxD2jvL/6E +7heovmSJf0B7lvgBtJcWv0Hj56qnY8UPoH2szPe0LxX/QOPJOj4qy3xPe2WZ +12nvIH6AxlcZp8yPSrWdcRu6XtuxD9xHqbYz/kPXazt2ifso1XbsSOh6bcce +ch+l2o49Cl2v7dhh7qNU27Froeu1vausS5RqO/YxdL226/ymdkbtTw+Z59Vu +qD3pLf6I2gG1D9HiN+m41vGeIf6djlMdvzPFD9Vxp+MRPdU4bUcZf/DoncYn +odqOHmlcDqrt6IXGo6DaznvWOAxU29EnjT9Atb392/Uvfxs3z89/TdOL9Y6K +zfH4XR+lftkzNdGVHTezUnzUade8erE+ERHJHs+uWift8uVTHi/66ZyxsfGr +XdK+3ZPjUrPc2oKNZsdHbfD4+Nd7tk5NzPT4sJ5pK1ITt7hOUYVLxMZnuKn/ +SH4xPmq7x2M2Tt2QGJfu8UsV3vk1MW6ny9+75vCo2JPumV0dRqYm7vb4jlu2 +146POuHxxaOjb4qI2OdmLn3+58uX01ypOhenRsV+7/FXOudfGJd6zON9f9wQ +HRt/wDUq/MnzqYlHXROjkf+sdkds/BFPwfvZ/8PPtt8Bh4LvsueDL2D9AIeC +V7X+w3cxOYFDwSeYfOGT7T2AQ8Fz7P3B32rvGRwK3sz0A179OOwM+oFeoT+M +N11vIieVs64bsEvg2Dlw9IzfRw913YO9Asf+gaN/3A/91HUbdgwcuwiOXnI/ +9FbXndg3cOwlOPrK/dBnXTdj98Cxo+DoN/dDz7Fr6k+Aq91ET1XPsXfqN4Cr +PUV/Vf+xg+ofgKudRa91XGAf1Q8AV/uLvut4wW7qfA+udplxouMIu6p+PnzI +3qrfDh+yt+qHw4fsrfrV8CF7q34yfMjeqt8Lr/Z256yPF8elHsoTv4LHLsBj +d9FL5dFLeOwu+qc8+geP3UXPlEfP4LG76JPy6BM8dhe9UR69gcfuMn8rj95p +O3pXwvSL30G/IkyPeF70aIDpC/1GX34xvUB+6MUie/+8B95/b3vP8LSD8//c +j/vwe/w+v8vz8bw8J/2hf/SL/iOPEjI/0Y7/gxxpryf+EL+TLeOb9ibiD/G8 +48Wu0J4s/hD9jhF7Rvtk8YeQ3w6xo7Q/Lf4Q7+EVsd+032ztjEfGaUkbf/C0 +l5R5m/Zt8v+0g6s/Bc9z8Fw8j/pT8PSTftNf9afgkSNyRZ7qT8Hznrz/ZO9L +/Sl49AC9QB/Un4JHz9A79I04UzPRS6i24ydxP/bF4HW/TNcBxFf1fjxPIfHv +dL+M3yFeit1ivBA3pt/eH7P2OeLHdZJ4N+OIuDfyxh/jvTQVP+5Fidczvojb +857xx9CHbPHjKsp+A+OOfQf0C38MPRwvftxx2S9hPLJvgl7jD6L/MeLHJch+ +D+OReRMef1DHKfg2uU7HNXho/Ko/z3OqP8+8r/af/oT2ldQOcD/9HfwQnUeQ +e2j/SO0G/o/OO+hBaD9I7Ql+l85T6GVof0ftDP6ezmuMk9B+jdof/EydBxnP +of0XtUuMc90fwR6F9ke0PevJzQcS4w67Zb90+zAq9pB7e8/Ed6Nij3iedvBC +kdc3SU0843Je2B8VH5WXavuT03d0Wxr3iVvzx+Lf74sd5k4bDk/7abkP7fWs +PbnEy4cuXz7tEm6feaJX6mwXMajXdfkiFrou7We0SE085eouatz2QOJyN2D8 +y4vjo1a6AnN2rU6My3QfzTvUMSJivfuh4z+zo2I3utlnC9aMj0p3o5PGxsbG +b3OLIs+9k5q43TVxNebFpR53De6+p2t81G7X+41350bF7nFZY3rcGht/zEVM +WPdaauIVfc2q/F1c6vdurMgpQ+RIO/izDT68NiLigFsWk29fYtxRN3rKpcfj +ow66mcO3LIpLPeKvV6rt01N/OZMYt9eVOZHSLTUxzW1+oNODsfH73MmXn9kT +l7rDDZg45cfLl0+4EltWlYuI2OWeuvm1gbHxm92ex+Jej4rNcHPWNy3UM3Wr +S32kfqNv4r5z1fPXLhYbn+ViLtywMzVxjVt/7Lq7msYvcvGJRT+OS812vR/9 +3L0Xtdi/D94P7wW9Zf5i3YSeg1eTeQ69birznPqBjC/mL9ZZjEfw3TLPMf6y +ZZ5TvxE7wLzGugy7Ad5f5j/sxHiZ/9TPxF4x37GOw76Bl5Z5EXsWI/Oi+qXY +VeZB1n3YYfClMl9id3fIfKl+bF9ZN7BOZB4B7yDzKPPGKzKPhvzeJhLv0/Wk +0tD+i7ZrvC+0/lQa2n/Rdo0PhtarSkP7L9qu8cTQ+lZpaP9F2zX+GFoPKw3t +v2i7xitD62elof0Xbcf++HPKEhelXeOiui8zwuwc9m+C2T942sGxS9gh7BJ2 +gHaNi+r+Ti2zu9jjqmaP4WkHx15hn7BX2AfaNY6q+0Rf2DzA/LDL5gd42sGx +Y9gt7Bh2g3aNu+p+0802LzFf9bP5Cp52cOwb9gz7hj2hXeO0um+1zeZJ5s9I +mz/haQf3cTHOb5hdwQ+nXeO6uv811uZ55v8lNv/D0w6u8TLdJ9N4L1Tb89ec +XD8+Ks37L0q1XeNuut+m8WGotnfKfmFrYtwJ708p1XaN3+m+ncaTodqelFDr +mdTEdO/fKdV2jQPq/p/Gn6HaXq5VkYzLlzO9v6lU2zWeqPuIGq+Gavuga/e+ +EhWb7f1fpdqucUndjwzFN7R93/JZ+WLjc7w/rlTbrzM/Hb89Sfx42pPkeuzu +Z13rLk2MO+0Gm1+Pn99Z/H7aweGxo7H/6lU5PuqUO2/rANYF18g6gXZweOzi +qd8SpsWlZrhEWzewjpgl6wraweGxc+Ma7bg5Nv6ke9nWGaw7Gss6hHZweOzW +/fHXjI6KPe4q27qEdUqmrFtoB4fHDm0/WP3i5ctX/CWjrFOUaju8tyPGV7Xn +Yp2iVNvhvV0wfoLJiXWNUm2H9+Pc+Bx7b6yDlGo7vB+3xjczPWLdpFTb4f04 +NP5z02vWWUq1HZ5xBX+rrLd0fwH/RPcX8B90f4H5XfcXmH91f4H5UfcX9Bwy +6wo9J8x6Rs/xso7Sc7as3/QcLOtGPaeKnSHOsMfsE3YDv26A2UvsAH5XGbPf +jGv8omU2nzBO8VuetfmNcYdfEWHzLeOGdT2UccC8DEWvmTeh6CnzGhS9Y96B +okfMC9B48XNZ71cXP5T4wB7xE4knDBA/jvhDGfGziFcsEz+IeAhyw54Qb0HO +2AfiM7wXxjvxHN4j45f4D++d8Ui8CD1hfBFf4lwF8Y+CFt+CD52bpT1ZzscS +H1MaOjfLfQbKfUPnY/V+XE8/eH54rh9q18GHnpf/4/rEomO+LLduYZ799B17 +hoy9bfTKPPvmsXOWrPhy/sY8++NHlg0aOD0j7z745Dsj3zs1aE+e/e6nx389 +v/r1qcF97W5/XzExKiXVNW9221dxkcfcXy48uXbw1MN59rOz7v+lV9qV9k72 +//CNj6/9vXCX4y7Jfg9+1scfvBU9L9dPhc//WLeSLc5luEHWH/hO+arN6Fsn +18+DX/x1vphJI0+7GJMX/MX3Gw6p8elpN7vA3OjCr33hKj69s2CDkl+5iUf6 +/fSXlqfclqfe2fDBsZVu8uCoBxf9a5WrFz2ne07RTFf3zo2/3114k4t4vOPz +jXZtcof679+3YeVJ1+7V/JEHb9nhGpR4rPmLr+1ww78r2mzWgOOu5PGpVe6a +s8f9NiDr718X3+vuuKH2iqH3X5m/m9V5tNdDqW7J0VFv/JGQ6rYZH2Xt3xp+ +s/3/CLvfL3af1vZ7R+z369nv1rLnq2/P+3vzP59zpfXnE+vf+9avD6z/l0we +kSaHNs8d+ClzQYLrfX2VWV3TZrhKZ+av2bAyx1NtL7cnrePEhCXu80rFa+15 +aJnb9NChmrMGZLuNRv9i7QutfcSy6LRDr6x1j55c+fil+utc3Mgb5g+9P8v1 +MjrU2htY+2/j/l7ypYkp7tgzr69sXG2bu2FHvQrtT6a7vxj92doPWPuS+7fP +zNdxl5uyumzqhDW73BflX46v8ekJt8hoorV/bO19P+6Z1PTHfa7dfYvP7W+z +3z31/IyCN7VMc62N9rH2ltYe+WHr4ndkHXTV8l23773hB925RbsG5BQ96nna +wc8bvd/aS1o7PO3g8M9d/vWmB+vm/j/PwXPxPK2MX/fV+oR2o9I8Tz/pN/2F +v7PHR/cN2ZYrF+SIXJHnTca/We65JTNKZ3ie98R7433BH95WvfH6LrnvFT1A +LxaKvtR785pd2fOyPY+eoXfo2ye1dnS68XyOizZcqbZ/FF3nuiPXn3FHLP4N +rZv9aL0FKafdlqTU6stv+MrT2gN6Dlm6Ott9b/Er6NEag796a+Qpd3DhnC29 +56/y9OPLy++cNCDLdbe4E3T48AV3da+T6Z4elhZxzfZNnr5xw/buL1fN8Pth +0LtSDk+sd+6kO1HphkkbB+3w9LZn8u9/LPOEu8fiPNC1ZW68vty84252/Pyv +brp+r6drZldrVikhzZ20+Az0heceGXqh8zHX4WLslvZTUz3t+lO3FQXaHHXT +La4CveG16O7JZQ+5+y3OAt/W/u9Fux98i5veebT/W7n5fPDT7bnW2/PCf/j5 +j1UqX9jlTll8A/6o9buiyQN+f/2WkSe65eZHwjc3ub5p8oav92XcpRqz1rnP +LJ4Av8Xe2wl7n/BjV3Z//9F8y11BiwPALzO9qG/6At+wzpFnmvee5c8ZwPfY +sXvNY5mnXW+br6F6HXTqzuguDRJOuS9tHofqc0AXPF9zfoE2mXnyp7Sf0BZf +P1/hyPV586pUjtAzEZ/EL119PE++lb4n6AfNNhf86NVjefKwVA+gX63rsO+T +Hal+/QKP3qk+nn82OenJenv9ugYevVZ9f+jn22ddu2CH9x/gGTc6ni6UKVbq +jRqb/ToInnGp47Xo9eOSHrnxO+9vwDPu1R6U+OGezosPfOXXTfDYFbU3y++7 +/eu0lmdcrVarv3lr5BnPT2qy5Jm3un7gan2ZVTy+w3i31PAnnlz7Q/a8I67B +D8tbfl38sKeF5LoE+/+9/bPTpg/+wH15suCIdqPOeL7PTxs/mnbbABdvfin8 +RvN/f1gTu/PCp2eC/EY5Z7Z6x9zNG19a4HZ1eeCptMgc93Kfuzd3b/t18Pxn +xUbdTxZYmez6LXhubVLKKXf/281LN9z+XfD8Z0KphNIfndjgIn/7qNakkZlu +Tvu3mu09vzl4/nPsK3Gzb35zu1vScMP8vnXS3Y2ljq2ofv1O94etw/PZ+ryd +raMbHyya3KHUHtf+3d8qtDh33G0eMmT/4Kl73RJbn8+wdXukrccLNpqzf/bc +790fB+59L3reMZdi50eWLWh49szDh930ih0KFelyxG03fJrxSdaebJRzHvBc +Bw5PfCDp7ZdGlkvP3ZfLd/DP3ydODU+coXy9ejfVj8ndl+tg/SO+DI88+p0r +ntB94EnPLzf5EReGR9575xyMHrMqw/Ol7f0Qz4UnflKjw/zFC4rl7oMNsPdP +HBaeOMwHN77aaGfL3LjMbtMv4qfwczv22Nysxcd+nXfN8skT+9bJXffRDo6e +tjT9TTb9ZZ/87N/2V/ns+Tmuk7XPLrL1uhbnst3tnBNb8s7E/h2+dWPydVz8 +l9q54yJ5a4VdcwZ/7G4tUmjx0Cv9aGr6PvpwetlLK3PPyx1u0OXyhcFJ/hzL +k61qd56ZkOUmv9ChVPy3q923nxd/tefgNV7f18g4QL7pZ09VHd91vT9XkzU1 +5mzhLhl+XDw9tE61I/23uqX23qbY+Bhj46OKvdcvu9xUrcTqbb597KnOz6VF +nnS/23jJqFi7Wq2tO/34YNw0sXHD/navTQubtW2927W39so13tuflHLFP+Uc +9bv7mw3rtM9FmJ7eYuMpwsYTenx39ebPTc/IPSe2bdjqZpNG5u4Ldfqt33Ob +fjrg15+sR1mHMg4Zl4zHaTIuGY+c/zo++dSQU4Nyz4H99bHxswucO+Lnp6Tu +aV/+XCr3Oj03FrPsyL/9P+39RuwpVz8m9/w3VMe/2oVp8tzvVClab8yqI3nO +oY3IKHd2bZUDwXNoyA+5Id/QOTT9nfVmD2eZHeF9QnnPvF/0AL1AH0qYHWa/ +E/2ConfoG3qJnqKf08z+h86hMQ7Qf8aJnkPLvOnTZWMufefe/XF6xIztWW5Z +rVcu9Vm82o9DxiXjkXGr59A623yn59CwF9gP7Ab2BXuDnXloW9slCzpMcd3M +f0yWc2jYL6XaXsXW97Ns3f+brfuZp5m3sYNN8/WaWPOxWe64/d6pG57vFz0v +N2/unDwvvJ4vGm/xhnXEVSwOwXzP/M+8//4d932VfGaZPz8w/plJmYW7ZPvr +0k3enC+C13NHhSxOU9/iInUtLoK9xI/Anj7SdfvYlyev8+cHYj7b1D4tMsvb +2WzTl3dMX+BpB69j8Zj2Fqc5ZnEa/A/8EfyQDmUKdRrWKbf+y46ffk9JSsnN +B0TfY8Qu6zkl4kOlJG6EH4N9xl6XHj5j4Kafcuu/vFK38t8mjTzhr+tp43Wn +jVd42sG/sXjVHolj4Q/hH+EX7T5V772b38yt/1JyTMfEvnVy/ah7zQ5xfgk+ +Us41fdK2c7v1XY7534OqPwT97FCdrjtbhs8zbTd7qFTbz18fk559ZR37pskX +qn4VtOB71/1w4dPwOaf7zU4q1fZWq/7oc+P5kz7uB1X/DNqlcepr5dLznn+6 +3OvP9tFmV5Vq+xf9tkQ8WDfTxxWh6udBky/OvbZ+TN7zUbRjh5Vqe/F7J49r +N+qUtxdQ9RehFRYO+LD7wPB5qdiWl4dEz8tLtf2Fwy+UGbLttPvV7CNU/U7o +4G6N7xizKnyOao7ZeaXazrqIdRLro/02P9A+S66nHZz1Eusn1k3HF+SPaP7U +Gt/e2PoLTzs48ybrKt5PB5s/h1t7pr0veNrBWV+x3kI/s2w+p/1t0zd42sFZ +d7EOY/012/wL2u+z8QJPOzh+0NhbCm24FJPrH3GuaOyru1bEtco9X8T1bbaM +m/D+2QOuZenF3zww8mie9RX09Il9mxcUC58j0nZdd0EfnfRZ250tw+eCtF3X +Y9A5zfudvPBp+JyPtus6DVr4moZ9yqXnPa8D1XZdv0G7fXNTRP2Y8Dkcbdd1 +HfS7fxwb231g+FyNtjPeOtr4wh/Dz0s3vw9/D32fbfo/1PT7GtPf4qbPv5m+ +4gfjFyfKPv5w88fRJ/xr1j2sd3SeZj2Fn8u6jfXaavFj8G9izR9C7reZv/WU ++Hmsc6Pb/rnv+EvD4n/NfnKAeyVt+d3tUs64ogfX1jy6rYvbEft7/WHl33D7 +i//y81tLz7ghsyr1vZAx1G1NaPfe+03HusEffPnP3ePPuM+/ybx30sgzboHt +Xw69Jb5g37bjfVzpgfHDlyel5NIuA2K6lUsP79tyPyi/x+/zu/we1/G78Ho/ ++kP/6NfwKaNSPknr4UL7tvq89MPv256oWfdq3Ix27sd92L+tYHFA6E6LJ0Za +PBFKXPKixSWh7N/WtfgmlP3bCxYnhbJ/u8jirdCHrkut1b3OUbf8X5Ht3sg4 +6OnfLI77ocV34UdbPPhHixPDc67kKYs3w99q8Wni1vCzLM59w62Fa1VKOOX5 +DhYv/4fF0eFXfl//mtZ7Zri4Rl+NrHcuJ8hD/xJ//Ney87JdtQklezxefZmn +Xxy8Je5C5yyXULpR+uK66zxtU6nxkR2RGW5E33rXz66yzdOfXxnw1IKUE67R +oYN3nflul6efJM9d+9bINPd7o1fr1Wy931Pkp3KlXf+P++nv8Pv6XDyv9oP+ +ab+Hj51SZ32XHLf/0D/2nS/8T09bV61x4YG6p11Wcu8K4+Z84+m0/otqlM28 +4helt1vxQMU1nq69I1/UkG2Z7vNJEw789e0Nnk7aMPFg9rwM1/2ayj+/UH6r +py/2qvpRu1Hp7obEE4W/b7Pd05q3bHpifZeTrucLi97/I2Gnp0WXdi36YN0T +bvOtw/96R9ZuTw92+v27GaWPu0o7WyxoXG2fp18U+mDwjeePuVGjbnv4xde+ +9/T1+ffVGLLtqDvx8Jl1E9YcyEO1nf/T+/E7+vs8lz4v/dD+0W+VB3JS+SFX +lXeSvYeZ9n7g79/Qau47zyW7ivtSFs4one153qe+Z96/6oXG/aE+n+7Jn4ZU +3vSVW2bnKPz3XX6r1qdS0e/cs3bugv2oS5t6zl5aebPLZ+c0/Pc/tu7Knj13 +h5tu5zrYX+pf4+VCPzy81zWwcyDEwzROxjmS3TVnze0+MPdcCedIqp/u8+CY +VbnnSnz93mmPfLegWO45aM6R/Njqxid2tsz0PPs6jxU9cuDCp7nnSrDbc5IW +PF8u/bTn0yw+8vPx2pcqjZni9/ng0yQfuar9H+d62B8kvnLMrn/C4i+sJ/56 +YPWJBacW+7xF4kHEh4gLcQ6oxOa4fzsf9I7FUdhnGm1xFvYNf+1++5lh5de6 +blL3rqmcJyIu8pxdV8/iJqzzIm58ev/Fuil+v6yMyfuwnT/abHqwy+IcXPe0 +xUFYp9Z+KbbQuiq7fP7pMnufn9h5JeYd4hbs50VaXGOcrbN/3X+yQonV+/z+ +4LOmL23sfFMD8qwsDpFu1+2wOAVxgkWPjKjVtvVBn7f7bstD8zuUys0n/nb3 +hEotzuXmEdMOTryY+DFxY+6/2K6Dcq4z085LVU644bZaW1P9c2geMc9NP3h+ +7qe/g/wa2njrZ+MPeSE/5HaPxImQM/M857QSbXzz/jSPmPfN++e9lzf94lzX +L2Y/0CfNI35O4nTo4WzT92fXNRyxu/YpN/pYRs7c677z+o2+o+eMB8YH46K9 +jcsks3clzP4xDjWP+JjESRm/30eWXLig2Bk/XpVqe7MtDy276frDruXrPyeu +m3vItZt47K/9Bh7xPO3guk/s949t/5d9Y/aBoewPsy88dueSni1ictyQx2Oy +Rh+Z6+qte/LmzN/mu5gK2Uej00+56RvHpfaotcLVG/74gGZdk922F8q3KjIl +021LzDet0cr1LrnlmHmHRm1wfRKbr09rme5ub3DrC9k/XRn/73XpVbP1dndz +/qEPryh2wh2Zv3T4A2/udvsuXh79RsZu9+1jXyyYtOqYm3hL209fL/W9m9Dt +0+kbB33vtq5qMqHFFbvf8957vi9R+7DrNqjn4fZTD7umWVnxFzofcc8ZD0Ue +rUVOzwX+j/vyO9y/tcid+5zfcPc9MzodcGPOxvYoMuWoy4588f4z3x1wu5NH +RJWbd8S1teuVanvdzmNKtNu61538LPJ8dHqaq75w6y2zq+xzQ3/J/rlE7Z2u +Qfv0N1rEnHQDGlf5vf3UnW5chalL3nlqi0sokVi838AMN3T53WvuLrPV3dyx +ZvO2bVa7+74dtrnP4izXrML5LTFl1rh7f31yzp6bE13HgU9VXFHstCvyQLfl +haZ/4+dx5h3mL+L7xPvRX+YNzplqnVXi9MTnmR84f6p1U4mvM17xBziXqnVQ +iYsTD8dP4Lyq1jUlno194hwK51i1TilxaOLPej4Vit3U+LGeW4US39W4r55n +hWIfNV6r51yh2EGNs+r5VyhxUI2P6rlYKHZN45r4f+gRfuAR04f7zC6S7wl/ +RPJAS5o+1jA97WB6Ck87OP4l+oifiV6Nc+VnP18mN98TXvNA82dnv/vB+dXu +pubdRl2qvNpFrBnxyaRVWZ6nHRz/1X8vy+SPfhayeYl8T3jNA33VxuvbNo6n +2TiGpx0c/5jxgZ+MnjubV8n3hNc8UOyH2hV42sHxvxln+OGMl4vmF5DvCa95 +oA+aPcPOnTA7B087OPFWzevMMvv6k9ndt83uwtMOruuBTpLXGck+k1Btr973 +qS/qnTvmFtu8pFTbdb2RJHmdfc0eKdX29yrdXrd7nSt+lc2TSrVd1zOa17nb +7KZSbf/x4A8b3xqZ7vravK1U23W9NEjyOquYfVeq7Y/Fr2izICXTbTc/Qqm2 +63pM8zon2DykVNs/bzT++I7IK+tk82uUaruu96D4a6dtvlSq7UUutn/pQucc +72cp1fba5n8NNn8MHJ528EETvh4/btgXru3mtTOunk/te9eoR4tMOe0amr82 +z/w3+gVPO/iiiR/8tu/ESjezxq0FX5q/ypV6+duktJanXJL5d1vN38P/g6cd +PPof2+77R9FNrty1bWtePY+7eHlmlRXFMl1Z8wfvMP/wZdMreNrBn5zy5sLX +S+1wTU9v+PrqOeBnri07a9Kqk26v+Y/4k+pf0g5+XeE7Nq6bu8cVaP33lKvn +j/9o2Syy38Dj7n3zNyeb/5lo4xqedvCNvZLTStROdauSCmRePfc8NWHw2y1i +jrnCZbNfWJBy1Nsjpdo+zf6v/PoK46+eo4bvlrLkwo7IK3bX7KNSbacfg17L +KXP1fDX8iuFvjbjQ+aT7m9l3pdr+rMl1f8zyz66eu4a/tebTN5abl+Gm2/yk +VNuX2nuuceLt6lfPY8MPyb5rSr1zWe4am1+VantZ07uPJrZbefWcNvyBhPP3 +dK9z2vu3SrX9ZRsHOY9Van71/Db8EvNfepo/E2P+TXtbN35h/sYEWz9G2PyP +PxCx+U//gPmZ+XqZzd+sq5lPWV+nm1+Jf1rV1vWtzE/VvM6J5u9qXudB85uJ +rxBXaWT+9wCzy7fZ864zP36f2c0Evpts64EHza49QZ5Zzh9P5Awe7Vbf+2zs +gpQzntf10xZZp9EOvup8qaNX4/HXvH4+8eelCW7m0Jx3J63KcVs/zbf3anz6 +h84/rKzw2RLXaHOFgv0GZrtnE5beuqTuOtcrf7Wbbx+w1mWUajGgRUyWy655 +seLV+HfGzrjGiyanuDFdh52KTk93c6Z9/MjVePnCJ1vWmdHpih/0r6+eLTLl +hOtW9MH2V+PrLy79sXX2T/vc1t+Ob09rmebOxH3b+Gpcvk+jkg1XFMulj94+ +atfVuHyKXQf9fE+rzlfj8pXtvtAib0flXI3Lj7XngHZ3Zwddjctn2nNDV51d +WbjcvGzX2PoJRU9Zt7Feq2zrur/YOq+Jre9YB7IuZD0Y8u9Oiv/FepN1LOta +1rOsw1mXsx5XO8v6nXU+637W+9tkniA+QByBuALxhCEyzxF/iOj29KuvvtXH +tX3v55xff3jTfXVng8jac8648c2jCzaqPTpPfqjqK5TzcD3GtGlXbNhon9f5 +nV3fuMCyRkWm5NI90z7ccfV8u+aN8hw8F8/Dc/BcPM/M8llPpFYc4GLtvsmn +/3wenkPzTPl9fS6u0+div5b9W/Zt/XcMbX+SfUl43Y/l+XhenlPzf6DkUWl+ +leYVQHV/Akq+guYx6PlZzs1yrppz1pyvfv/iQxVLlLvy/kdN3vLP5h+6oeMS +fvlt8GQ3JefBL1pPPnVlXZl+Nnp9shvdMOrhWeNXum/PPlx6y5V+VB76UvKQ +5CNu5uVyQyKGHPLnPNin57wH+a7YbfJeOUfC9ez3r77UvtX19x10cxecm9lm +wkE3f86b9+2qcdQ9LnUKOa/4seVT897IiwfnenDWmVyv9d65Hpz8ea6n/g84 +14N/a+cXuJ66QOBcD97e8sy5fofVqYiQ7y3Dcz330evB4WnnPvw/uK+HZzjP +xfXfSt1urgen31yvdZK4Hhy5cr2u+7kenPfG9bxXcK4HRy+4/gnq81n+PHgJ +y6Onrovmg3M/cH6PfoDrewfX9+vjgvK+fB0MeV/g+l7AVf7gKmdw5Ikc9Pti +yEHz3xl3ivP74NpfcO2v9wOlv+DaX3DtLzj95b1rfh/9VZz+al4//VUcfVCc +5wXX/oJrf8G1v+D0F73L830366/i9Fdx+qv1Cuiv4vRXcfRIcfoHrv0Fp7+8 +R82XRG8VRw6KIwfFkYPiyEHrMyAHxZGD4shBcfRRceQBDs971zxQ5KM48lEc ++SiOfBRHPoojH/3OAvJRHPkojnwURz6Ko++Koz9aRxq55flejMlNceSmOHJT +HLkpjtwUR266DkVuiiM3xZGb4shNcfSoo+gZ8tF6fchHceSjOPJRHPkojnwU +Rz66Hkc+iiMfxZGP4tgVcHjksVzsFHoFDo98tN4gcshTh9DkoDhyUBw5aF0p +5KA4clCc8QIOT7/LyvxEv8FVDuDw6A84PP3V+Dn9VZz+ar0s+qs4eg4OT/8G +iv9B/8C1v+DaX3DtLzg8+gAOT3+1TiP91TpgvMe94l+iz+Dw9Btc5QCucgBX +OYCrHMBVDv75RQ7g8E1kHxWe90v+Pjz9Blc5gKscwFUO4CoH//0KkQO4ygFc +5QCucgBXOYDDYzfA4dET6lnBIydwlRu4yg1c5QaucgNXuYGr3MBVbuAqN3CV +G7jKDVzlBg6P/QGHR07kf2p8YJbVUdM4AOc4dL3f1Ory6fqOOIqudz6wc+rq +/3cJrMfz2/tW/7+BPb+ud4bb8+v6brU9v66Xi9rz03/0S+uR0l7f6s/pOvcN +q7unciAfV+Wwyur1qRzmBNa51LlTOZAPrHKIsedUOWy38xLIgf5q3VT0ZJ3U +w+d3ilhel/Zrn9Ub1H7dFljPUtdP+0W+tPZrgr0H+sX8st1+F0q/vpE6rvRL +81t5v9QjpD4kz/WE1UvUfm0OrFupY6j94rsm9IvxRz45lH7F2u9C6VcfqStL +v7T+P/2i/qKvb2nPOzqwDqU+o65DG9p9oIwD6kWWkDgDdUih9OuI1ZmE0q/7 +pc4t/dLvDtAv6k1SnxO91nMj9K9BYF15o90fSn9/f+fP+0MZR3z/BoocqI8J +RQ7UXYUih8lWVxOKHE7Jd1uQg35XCDnw3ZLpVo8UOei5F8aN1i3nvWfa70KR +D/FxX18CO2e/C0U+nBuG+jqs9rtQ5EN8G4p8njb9gyKfnfa8bQ1HPsTHX7L7 +ePnId1v89znknDPyoa4r/UJfng2sH/13NfiurckH+UKRD+8Dinx4f1Dkw/uG ++riN6QcU+VSx+sufml4hH/K+vzY99HFi+R4N8tHvPdHvZYF1Yoz9rq4TqcsP +pb+MWyj9ZZxD6W+G2QUo/X3H6kQfNXtCf6mL/KvZH/qr39nBzlGfVv26MoH1 +4Hj7XfXrqDei60HsMtTHl+x3ofTrtNWtftTsP/3y3xGx+YL5hDxb9Vepr6v9 +GhBY92Xb72q/yFtVf5XvTOi6b6b9LpR+PWp1tHfafM17ibG6xR/LPF9O/C36 +N0H8EvpH3WDt757A+q6pPY/2l/x27S/f84DnvVSwPGBdj1CnWdcjnB/T9Qj1 +nbW/5C1rf6mHrP2tHljHzbH649rfcvb82l++m6LrEc7dwvN+C1h+qq7X2FdW ++Zyx71KpfPh+QZ71vtUBV/mQj63yoS60ymdCYL3G86t8BrDvLvLh+2cqn872 +/Lpe223Pr+tc9t1W2PNiN9629dQTUodmhK2DdP+O73Gxf8f17APq9RtsPQIF +H2XrDijP+5Ktd3SfsYWtO3SfkXP9/C7Xz5e4D7/L9fodsIK27oCCb7P1AhR5 +8z0/3T/tHcDZ9wLn/pz3hvL886x+OhR8rK0joN5fsut0/1f1W9ff+pzkO0HB +Y4yHoqcRt/05/+k+Nee6dZ2l9WC5P9dDvf03vwHqx435H7qfjn+u6yPyzKB+ +3Jk/B/X+l/lt8NwvtD8yw66H0m+tnwau9c24v/qNXB/ad+B6fc7T5seoXeok +fibtfFcDHn3hewOsU7weiV/Hc6pfx/Wh/QKuh+c+1GmCh+J3Kc65dHh+d4Wt +t+GhfK8A3tsJu36EjS9wzePzcSqJWzH/4D+sMLsBrt8D5f7k98FDma81jtTV +5uW+Zj/BNb+P36UuLzyUeQ3e39/mF/0OD3E/eGgvs/+95HzQQrPDC+Uch54H +wA7ovjl6gf6rnqBX+t7Z/9D3ssvmO56P/jGv0R/kTfyN5+Y+On9w/UL5Phq/ +D67nl0aLHQfHLiuu3yMD13gF8ogWe831ofMDYyVuw31e4btnZrfAd0ncgPeD +HcY+cr3uy/NcZez/oX7dJ3XPkEcB6yeU++wxu+HjmKZX5BdBwXOMh3L/ZLMD +6ndpXTL0grgeFHyf6QGU+5DfBQ/9XHDuo3XJaGffS6/nuzXw0PfN39Z4vtYf +o519Jb2eOonw0NfMj4VnPGmdMdrZl9HxqN9hZNxpfpz69bqPgB3R+LnG8by/ +IHEtvx6369RvRw9U33Qflt/n/cEjV93H9PUgRV7IE/us30fjuy6K850jxfX7 +lf68me0v6P5OxQB+rdS7Bi8mOO/rgK3P9bxoS/mempe/xaGg4BrX8nEG83/g +fXzd7IW+R40Lge8Qe+LPBUlcBZx4hK7fWX/pfME+l+771LTvKqn95/8UZx5V +HHmq/lMXTM/HJtg+guKMI8Wpd6v4H4Izvo5bHE33O7bJfgfXv2L7BVwPzvyl +eIKtCxTfIesH5DHb9AbK+MUuQMEnGD9BcD1nAr7C+BVyjoX9Eij4IHuuQWIf +1J6AzzF9g6Jf7D9BwbtZnA0KHrI/7M9BweONh2JX8lt8DAre3OJgUHDNiwTv +ZP4tFPw1m9eg2DGtz8+40zr8jB89T4ueEN9vbH4O+sg6TuM51ENUe4IeqN3Q ++YB+4YfD0846RNf1S2wf0O8r2O+0sX06XY93FNzvg5vfSP+RD+ujz8xvBQ/F +jalHms/kzXvR78XTvzttnioh64vpZg81vlTS3q/GqR4UnHGRJvFfH2eQOAzy +0+9p+vW77A+ClxQcvWgi63Po9EA8Idv2w9hnAV9i+0MzzC6Bj7XrMuz/wGfZ +dYnsmxF3seejPr3iNxmOHGKt/z1NHsitf8DPJL6t/uFtNg7VPywnOO+9iMVF +dV2ZbfFPxVtbfBI98ecuTP80fvh3WW+HvoPt92dt/kIujBf2izWu8vLW8yv6 +1jmc572zr6rvXeM/vJeeL31+T7fxaS6q/LzPa6Tlrmepl/q0jWN/7l7qFNE/ +rQ+v4zRCxqnWe+d5Z4veQrdLv3gvQ+2cjI7rZMF5/z9K/Bb5LLV9zTG2r+rP +lxo+0nCNO6WZX0+/qOu+Qtb1Gm8F17royJnv9KofxfcA1P9pF8CfEZz76/kK ++lvFzi2oP/OHxeMURz/V79W64vy+1vdmXJBfUVrmK13/gkfw3RXxW9jvg3J/ +9hn9utr0YZXpJ9TbCeOTBNd62vyu8ugh+1NQcNY/UHCtm42eYGfUb8fvVT9c +65ygD/r9evD0wPqU+Im+9/E2Hhbb+PB+suGMJ++PaJ1n4u1Sr5n3o/WXwcub +fkD9foH4n8hJ6y97P1biDlD1J3nv6jeCFwisl9mvhIJ/b/tlOr/sERz7mSZx +P/B/BvLXfpbzb7w3Pb/h9y9k3cr7WhrwJ+PtnAA8dHwAZx2nfiN6iP7x/Ho+ +HLymfAcZ/CHB/T6L6dkAWV/rOovn1PUR+DFbP6o/nCW4t2+BfrGP/6O9H+YL +/V4t71fzE3k/jEf1B9ZFFrytYee86wX2X+C5v55X53mob/Ck5Jtyno3f1fn9 +8uR/n9/nYfdsH5b3U9nel56L0HN94F2Mr2PtyB+8i6xnH7DzDDquz5ncodgN +8is2Sj4f58qgyPV+2f/iOceZ/mvchPd+Rt47+/7XiT9ZyK6Hcp9zgXGdZOMZ +ynOVkvUjdLf4Ufxu6j9erJCyab2nyOegfe8QSv/evHbYtLNV8+53ZMp3Z/y6 +0L4vwPeOaO9idez9uSLr1+CoDs+ndz/gKXJKGdpq/NmquXLDjx5i3x/UvNfE +JV932fn+F576+XniiOyLddfliW893KHll9W77/KUcR1f8bYWDzy3z1N/vvTh +zJTBU3PHIzRz1qWGk6rm3Q/tb3V6db+D7y7wHQZ/bv/trh+UqZZ3vynilvW7 +klKu+EF7erUe1ilX32LKb686qWpu3IH3kpq/xrAy1fLux/E9obus7j1ybTL2 +k5VJKafd8k/vOHvtsC9y84Ps+y3qT1ZcfUva4Km5fgj6s9PqZ0GR/4xtVTYl +peRSP29+0ORivZi8ceaF8/s9+sPF+Xn86peW19xZYOV6N9Pu4/2Uts8eSkrJ +pf58S/m+xevH5M5T3D/Z+km/kU8l+d6i92+7FIusH5NrV+lvYalvRz++tOdn +PcLvIzf/Xk0vSth32XQdR3+aPPa3vw3rdCDP95DaWz1I5INckBPjLMfGKesg +vx9t40LnU/QT6v1w9NAockiyuou6P5LP9JXrfZ6FfQ/C78+RD7L/UIH6MVl5 +1vu8Dyhy5v1BuR/31/PqQwbevOSNzcme+rhxqTanJ03J6/e2/NfvRVp2PuBa +z3njYquU3DoL6BH6qXn2zOOaj06cQ/O2WQdpHjN+mebvsr+p+amcG9G8TM51 +aJ4i5yU0n4/5UfPe8NPwJ8DxK5DP4xJHi5K8QJUDuMoBXOUArnIAVzmAqxzA +VQ7gKgdw5KB5XFrHRONEoToXWyUfVOUArnIAVzmAqxzAVQ7gKgdw5KB5faG8 +Na3PovunofogWs9C6wWAqxx8fVyRA7jKAVzlAI4cNG8zlMcYytPTujO6rgjV +VdF6H6G6GFpnAVzlA67y8XEFkQ+4ygcc+WgebyivNZTnGcpj1Po7ut8Qql+j +9VNCdUZC9Ti0XgO4ys3vQ4rcwJGb5m+H8pxDeb+hPNhQnqfWIQrVA9J1Qqh+ +kNYngmr9Gq1ro9dr/RetC6PX6/ksraui12v9Ea1LotfzHn28096j1hfQugN6 +H83D1/x8vV7z2DW/Xa/XfG/NA9frNS9a86X1es0H1jxhvV7rUoXqW4XqIoXq +B4Xq7Pyn/Xit7xCqdxCqCxDKkw/ljYfyonV8abw1VC9M60mF6i79p3MSobop +Wt8hVAchVBcglCcfygPXOmIapw7VWdN6W//p3Emojk6oTkyoPorWfQjVQQjV +BQjlvWt9NK1DF6pPhxwU13OsWqdJ/aRQPaFQvZxQnRg9bwKv5wJDdSJCdRNC +dQG0TpzGf0N1ALWOm9bzUj87VHcqVG8pVE8oVEcnVFdGz9fA6znIUF2JUN0E +rZfHuuuJwPkwcPRK12mhOmShulyhelShekuhOkOhujvISevT6HkieD33Gaor +AUV/tH5eqM5cqB5bqD5ZqC5XqO5UqN5SqP5QqE4P8tB6NnoeCj50/n6w5AFQ +X+K8xLmJV7OfDU4dA87BgHMeprLtN4CTR0++NHg79q0tnwR8ip3LI5/Wn/O1 +fRvOFfk8TjtfRD6nz8+2cz2aBwhdJ+cdOLdGXQZw9iXZdwdn/519dHDO+ZDn +DE7ePXkp4NQlYJ/b11uy8yaazxnKY4SOlnwUzpmzTwPu6zDYuS5fz8DOvZKf +DE6esubHhvJLQ3mVUM07DeVbQjX/NpSnGsrPhGr+aihvE6p1YaBaJwWqdUag +WqcDqvUvoFonAqr5/1DNh4dq3jhU866hmp8M1TxeqOa1QjWv1f+u2R/1/6nD +ojh1TBTvHTjvq/n/oTz5UJ55KB87lLccyteFcq5K/fzJgfPT1P/QuiCazx/K +hw/ljYfyq/06QvKKoQ1l/xaePD+tU6J5+KF89VBedyifGUq+oNZB0TxnKHmH +Wh8F+8N8QB6c1vmCav6b5un5ulZ2XkzrqXm7LXl6en4Cnrg0eSDg5BVqfTo9 +j6t2j/xMeN5XGckPQz6c80IvkfP2QL4l557hyWNtInlgnGMkT8ufx7fzg1mS +jwrVfFSo5t9Ctc4mVPNgoZqHpnm8Wt+UPGDNDw6d09L8Os1z03glecya3/xt +ID9Q85f+U36g/26HxJ01nxs+ZtD/n+eNvut6tncAny156vDkqWv++kuSV4me +PyF10MA135L10dnJ/56vD/+25Hly/SipT9fCcM3/ZF94jtQtgGe9ptdr3iw0 +lH8byvvVvGI976vjVPOooeSja5665sGny/dSNV8/etD/n6+vde/gOV+rdQ54 +j1qPgbxc3ZfkvWge8huBOhFHJe/Z5yFLHgPzWZSca2Pfc2GgnsLoQD6G5hOA +k68LTt4u/rk/Z2B2XOsm8H52Sf0A8m213gHvmTxaza+NkbxGeM2bhZJfq3m3 +mt8C1fzaLMmv1bxbzYfRc8aad/vf5s1CybvVfFzGl+bX/rd5s3puVfNoNQ9W +8zk1Lxa99XVuDCdepPrMePL1t+x3te6JjkvNf0B/0CvOYTL/olfkw2r9dKjm +x0I7Sp63jytJ3qzmTWkdaM2bhWp+LFTzY/35M8mb4j7EPcCJe7QP5FO1C+CR +kmdD3KBkAOccv47f0nKeGl7zcPz4sPWOnrvX/Byonq9fFThfD//f5vNA9Rw9 +/HipmwhNlfqasfbc6Dk4ev6GxVG8f27rJfTc1+2T+Qr9xy5lSJ0Sfx7ZzpmC +c06beojg5B3PlHotjJdXJL/H1/EL4E1N7/KsZ+1586xnrX86jm6196zjBfsU +wlWvXg3om9bnghYJ4IxT1UOtVwX90daJijOuVd9C9QiaB3DygvScmJ6PRz7P +BMa75oPxXjTvC8q6SfNyysp41/iw1glIDuTBkKei+SvE8fw5XfOfkiVfn/xN +1pu+Po35Q8RpwYnTkkeq66w2gTyojgF8RKAeyhLJvwKn3oH6h9Q7UJy6Bjqf +VgzgBySPlPdAniTPQb5kP8kTJe9ScfIusyWPkzxQ8j+9H0+dg8C6eKzkj5If +OkvyR8kP1ToK8FpHAV7rIsBr/QP46MB+aFqg7kNJqSvBeu3BAH6n1Llg/TVd +6lyA/6/5peR/aF4I8Rn0hHOV5DPRH+KD2G1/LtvmIfKrwMnrJP/TnzOwPFDN +J4FqXjr0b4E8sd8D+Wnkwer7+nsgT1Lz38D/23xRaAHJqyAfZ3wg3kL+jz5/ +VgCn7iDv8TOL81L3BBz/hPcMjh5Q34T3jl9ULIDjh4Nz3ph6HPSXOifknYKT +f9pD8paR9zOSB8y+1en/su5JKB/J08B6EP8tDy91T0J5obq+U17zQqGazwml +7oP/rovNd0UD7yWUH45/6PXJnucPyQPnedMD66aXpJ4fdSTGSx7z4kB+M3ma +WldC601oHif2RPM4NV8TXvM14WPkevhQfqbmccKTr6l5nJqfCdX6F/9rfiY0 +LRD/IQ+T984++FuSH4hcYyS/DvlHB3DN44TXvE2fv/Q/5m3uljxX+PmSxzw/ +kN8Mjz/IeCHfX/1A6gPgn/r9OdNvzTOnvZX51Tr/dgqM6wcD+YFVA7juX5Dv +vzSQ97xccOoG/BiIJ1O/QJ8/OYCzD6txWs2n5b2zn6vxW80jRa6huhIdpB6i +ns/Ueoq3mz+GHOHZ7/bxK+M1rxr+WZsfkQO85lXDzzW9Q9+W2Xys+ka+anSg +3kENyVOlH10kP5W8VM0zhu8q+cTwlQP5zJoX6uNz4reQT6p5p1DNU/V+u+mj +5rlulPcIT96p5tEWEnsLfy5g95LEXsH/t3mqUPWHZ5j+hPIbydfUPM4cyVNl +PGoeqc/jkDzMUN4aeLFXfsp5YXPufABPnh73JV+P/FrNuyVfTvM+NZ/Nn7+V +fDkoeXKaPxdreXL+Oy3Gkw+p+aDkQ2r+qObT8ruaJwklj1DzC+mf5heS/6nx +E/IhNe+T+yEf8mo1/xZK3qauRzQPE0o+peZZan5pKM/T1++TfF/yo8mX1Txa +8mU1j1bzqH29S8mnhZKnrX6L5vf6cyCSz+n9uCKFFg9NyR2P4w6nl710RT/I +k8Seki9JXqXOO1kWP+D98r0Yvu+lz0m8C5z9KfwHcPzjmTafqn7Wkzrvvr6q +xS3AiUvw/RX/nSWzn5x/AOf8wzH5XhdyOybfrwInrgteWerRgnPOAf/Ef9/M +/JPGFpdQfRtm61DFqa+RRz+t3/77BCaX9bZ/qvaH74Qpzne2FB8q3/0A1+9/ +hL6TAX3P4jOqV3yfTHG+76U438dSnDqSiut3VkLfKQl9zyP03Qt/vY0Hfu8Z +6gvYeAGHb2LjBTl+Y/JpTPzI8MVyvgYcvpHUbYIfZeMI/bjJ9KKyjSPwWwzn +O2caJ0GPfH0r41nH+LqDxrOPDQ6/Tr7nxzjgHJbijBv9vhPjTL9rpPU44YtL +HVU936rfE/N2wnB47Ip+N4n4iX5fSOt3wvO9Nf0OG+eC9TtmnCPW73qx3tLv +WWFf9TtOxGX1e0fEc/R7QVofFJ7v3el38PhenH5HjnPc/lyH8Xx/TL9Lxne3 +9HtcxL/1O1TURdLvNRFv1u8dEY/S7wVpXVJ46ukz31FXH/vG/EU9f74TgJ6x +b5EU+N5A6LsF+t0FX4c6UMeW722of8v3SfS7JaOtH/QXnjiw2vmEwHc1tC48 +VOukQ7UOOrzWkYXXOq/w0+15/DrK5FXd9FT9om72f+pvh+pyan0WKPVmtA5N +utSR8fU6rZ4Nzw+v9XF8PQbzE7Vuitbxgfr6KfZ7sVZvZIjV4+E9wWv9F+5z +wOoJIRf4r82f5/lvIP/D1hm+vritQ1gH+HWQrYuov6N6u0LqmGjddr+ukXNv +4Fp30ctR6ktfJ/Mz1NeDZHzZ/4Hrd2rAeQ79DpWeewPX7xOBs57V+kzar8fF +L9D6XloXDlyf/3H5Pf0utD6/fjdL66Xp84BrPW2tI8bv6vvW72xAfZyROjqc +f2D+kzgA91Fc6zL685N2H8W5T+h6tdtcrzjvW+2Mj6sK7vNzBKcfimtdIii/ +r7hftwvOe1Hc+zeCIwfFkYPaQ/CQHNQ+qD6F9EC/T6S41rf29Xatv2oX6G+e +8zZS/8zHyaxfius48efi+V6q4FqnENyvO2Ve0/pP/vsT9px54gP4PYIjD/RC +5ZNnn474lOBap1ztGPfzdXLld1RPNI7B/9FvvQ+46p0/3yN13v7bcal1GXVe +0bhEaByrXui8o3ZW55WQvdZxq3bC18Ejnim/C66/q3EGnT9C9h2c3/X+ishN +/Uydt0JyCT231kFVO6x6FNInlYP6vaoHofcakntILjqPqx7r+AyNn/91PIT8 +pGcE13iF+iWLRW4af1D/hvhD6PsloflK/Qv15zSeoOc+dXzo+NF6gfpe1B5r +fVAdD+p3hObV0PwTsvdaV1vHo35XRr8zqfkJ6gdpHT71J3T+D82ToXkpNJ9o +/W+1e1p/2ddFFP8x5A+G/LuQH6fzks4j6teE/ILQPByaP32dRpkPtX55SI/0 ++XTfTfVD/RWVC/dVufA7yutzKOV39P/V/uk6Rv0lXR9qPoPaAR2njF/N/9L7 +6vpT5aj6qPOK+ncqX5WHjjeVu/qb/L/yfp9A7Ij6V6pfOg41fqL1PpX35ylF +PipvrYOrdi7PeSfpj/ZT/VaVq/pnar9Dfjr/p3b8f11/6Lyldj/kb+t70vGv +diHP+XYZn9D/A71LYM4= + "], {{ + {RGBColor[0.880722, 0.611041, 0.142051], EdgeForm[None], Specularity[ + GrayLevel[1], 3], + StyleBox[GraphicsGroup3DBox[ + TagBox[{Polygon3DBox[CompressedData[" +1:eJxFnHccVuP//+/73OOccx8zI3tUtsqOfGQnqRANaSk0ldUgaWkoTQ0rZZSM +kFGRkFkiIxJKCSkjO6H4Pl9e1+/x++O6369znetc55zrXNf7es/7wA49m/aI +crncaeVcrgA9Ms7lqudzuS0ctwTfTV0L6L3UTaXcw3FTjgdC15Ryue3Ap1O/ +I3QSdDLlGs4153gM9FvafEC5Flyh7pU0l7uLNkdBz+P4HOobQm+lbiRlX47n +cW4UOAetx7n9gCPp44jQ5jDKoxw3oL7A+Yspo8EXxT6nvnTNqeF5TqH8Xsnl +zud8vSyX+x/HvSl1Kc/w8s9A+1Je4Xwf6KrY1/YJ7/IBbXpTruP4itjXnhDe ++468x2I55yNKL46Pj02Pg77MO0zRM0ObxB6H5Tz7MOqGa9w4vobjnaB/MuZn +UncDZQDHj9Pf4+DrKTNTj1WvJJc7JFx7EGUu9SOgf1A/husn0eZH+mtN/UTw +YuqHg3fg3s/y7gNpM4j6tbR5NvE30rdoS1nPuftoMwg6mPovaDMSPBb8HXhU +6vavcN211F8FXkb9RZGfWc8+lvrJ1P9E/TOJv0ttrnsjdT+vUrcf36IfbR8J +z653v472Q7n2VvB6cEudA79A+3N49rrg6dRvpU1Nrvkn0NsoR+Y8N64K8+c0 +2h+h7w+tX/Y80Xy5pew+vy55zmk8z4WeEbuPSdS34r5f0m464/Ar/b1MWcm5 +Q7RIKN9AzqL9SdAzoWM5Pybv5zs71Ov8T/oOlJ6UYznuQZu/6fc9+uhO6cnx +h5S/KOtoU1/3hZ7H2BzM+a3Ur9fzpb7nt9CP9d6hviHttoDPoH5Z2XV3cp+D +uPbP0GcX6DeU18E3c24FuD90UOzn+pDrfuD6q8GNoQOo7wB+l/rvw/2+gz7B +8WJ9I85/k/q510NrcK/N4NWc2x/8PfgtrX3ou5QTwfdBp+tba95zTQfww9DZ +tJ+tNpRrKY9RWlFaUt6n1Kf9e9DfwvgnvO9P4P9x7Wdc+4vGj/pPwN+Bl4Cf +5TmXaY3wnAdS/0Pex5+Cf9QzgatH/q7qcxn0Z8py8AzqZ+X9nTZwj370cRdz +4Ebocq3JwBcHUw7UmDJXLtdzUX8yx7dQTqIMCbgj516mzxfEH/Tc8X/TJ/cH +z7gSMJEygPpBoU+xu89pM5T6V6G1854jmsezqHsEfLXGBnyNCvhGnrMWtB/0 +pNg8LIPO4/xcnad8Iv4lHgh9gnYPQ1ezpp6nzXzqb9IYU78O+it0ONd/CR4m +nkxZDx4B/YNz8zQPuXYz+CvxVOjl0C8oszh3cux7itds1vuIT0H/Fr8B3w5d +wX1HRl7/t3F9feho6CVhr9Gec2nsfeZ3xng/2m6gzRs5z501lLvAdWjTFlwD +eg1j2p26d2h/FbgTeInWOPhUfVvwqdpLwN15/mdT84kzwaeDX6fdHXzrM6DH +Un8P7c8J/L4OZbeKx/sB2p5NeYt2d9L+POhptJ8pXsdznEebPaDjIo+JxmZZ +4uf9mT5up/1D4H9pf27Zz/NgyfNfc/8YygTqZ1L/D/X9U/OVzvTRjPpG4Cep +vyn2ete6197QWvsR5XSOj6H+btqsyBm359pF1H+s+QjdwHM0135K/TfghuC+ +4Oacawyew7Xf6TvnzAs6UN8KulDzHdwG/BL4CnBb9Qm+EtwOvKjkvU/rIYV2 +or699gvqjwJXBQ8BjwfPAG8DL+fe94Iv411fBt8GHgbelevPpp+doaMif3d9 +/+dpM4w2l9BmSNlz6gf6GaFvAv4VPBg8Afw9eLi+LfgX7V/gaeDN4G8i86y9 +6PNLxuFxzu3MN70P+jxtdoTO597nc34f6EWp5/KT3P9rzm0Br4OOptyvvZs+ +m9JmDcf30s/N0FHUb6D+HvDT4BS6KvFa+YV73svxs+AMOpXyDLgCLXPPSDxR +35Ljp8RnoLek7vNp+pjM8ePggt6P8iS4BD2Cfldz7U+pZTLJKNtDX088Jm3C +Gr+S+sOgeeg27a2UKVz/BLRY9trQGtkMrR1b5vhLey64KXg/7RX09a3en/f9 +ruI+Pkw8nnuCTwcfH/laySodwUvzvn5s6jX+Hm2uA+8NPgO8BDwV/D74Tvp+ +QPyDMewGvgL8JvjmvJ+/IaVd4KP6TuNT7zOfc+33FY/fGvD+4P4aT/WdWAY7 +IDVf7kxpQnk6tSxWh/O/Q3+j9KM8nFi+k/w2K7Fcdij4/MjyoeTEHjxbZ+rf +4tnmJJZhatGmKm2+Fk8Wn6XNTdR/Rps+Wrfgj8BHR95XtKeIzy0JvK47ba6E +LqbNQZJbA2/vS30v8VHqe4Ov05hrjiWWVffnvsdSvz94FPXHgQ8A31byu+kd +v5MMRn0RfD31+wbZ/1rw/mBIrjc/Ncr/ieC5geATE8tp30OrUw/J3axnAzO8 +ucElywhvUrannJVYBpdcepjWlvZl2hwOrgLuA64F3g08QLI9eBfwjeCDwUyp +3C3gamBeO3cT+ACtDfErcG3A7uBBejZwdfA4jaf0AcZqf63dxPvnv9CTI8uH +khMvSCzv6eW0939AOYjSPDH/L6aW6WqCW1N3Stl4csnyxDs5z+9GksXFq6GP +0P+jXHOc5ADaH0z9BO07QdbTfi55Vfe9lPYH8HyH5y0Tnsj93g79iJ8/Hni6 +9nPpJu1V+EAn0N/e4HsYnOu47kUG/jOufZW6s8HtuP6onHm9+L72Pu0D9VLv +BYXUa6Qx7d+C3pm3zK45rb37LHCn2LLEaVpjkgFod0bePHlaan4ief7Wsve1 +33imV1Pz6pGpeY/6ER/vmHe99vVxnGukd4P+nFo2KPDMk1N/r6+gF3J8BZOy +H3RnylzwQOgKzi3Q/laxDKP1/qRkBo670aY/9BbG5C6e6UPwPallgx+hX6eW +f7ZBf0kth5RosxL8ot4f/DF4IfgM8CT66Uw/C8ATqL+A+jnQe1N/B/FVyS2S +mx6Fbq5433+X8b4Cem7eMtYl0KPz1jEGlD0eG0vWPaV3SuaWnCh5UXLj9bS5 +mbrVtHk7tdysb6Q22k8lT86JPaaHxpabLg9y1+3MsUsi378u59pBP5e+Q13j +yMePU38Z9ODYspewdDPxxY7hGw2N/Y32jK03S5+X7vxe6nk5S7J33nNDzzov +73FoQLklNt0N+pp0VfAixuTN1GMyBvpRat6tOTAnbz1a4zE58FHxr4WcmwBe +AI21lnOWvfvGXlsR9DfG/FjNVfp/N7X8NEPfijFspucq+RnrhedsGPaLuTnr +ni0Yk3Mqlp8lU98PvYLvfon2aeprgtuJv0i+BbfUHkx9W3AT8GxwG3Bj8GPg +TuBLtZeDW4MbgR8F9wD3BL8Avhp8A/hlcNfQ/zxwF3Bb8FzNZXB7yR3g7uDL +wM+BrwJ3lFwC7gm+GrwQfCW4leQGrX3w+ZIJwB3AF0smAA/NLEN8BL45s3z5 +rvbDzHLYMnDvzLLUm+BemeWnN8DDMssuK8AdwS3Ac8BDMsscy8GDMssi74Mv +A18kGULysnQn8CLwteB+4FfA1wfZ6DXwgMwy8XvgwZnljw8qlrfPjKzr1GB9 +H0TZAB6YWl/UPNR6Oy/s6ZoHmg+SzzXnNPdkW3g089p7nf4eybzGXqpYp7yR +PvtWLIdofmqePkibQ8TXqG9FP4fnzKNle5Eu8FDqtSC9tS5t9qK8Sj9DoA9w +7atcux48A3yM5MCKeb1sAuL92kskz2tvaUybI2lzN23ups821FWt2O4h2bJn +avlfPGR+av3lM+q7QJtxbT2ufVDfNPW60PzvQ/0w6hdT3wh8oGRi8HXg/uBX +K7YLSd67GtpA/BH8lHghZSL9vJRa1pX800xrimuPl9xcsf1H/Fz8/ibqx1H/ +DvU1qOtKqZa3rNgNWgu6jG/WIfLxB4llb+mYV+jb5Kw/buT83pR9xK81L3LW +N7Vv7ZgP+5Z4dt7XvE/ZIe/9dbrWh47L1mWWSN/gufalv33ztntIt5aOLflq +H+oPgG5HOUryP7Qi/lYyP/6Y6y/j3t11PrYM+QN1t2ben7enfq+c58g+ek6u +OzLvOaK5MiW1/VHyhuyUskPq+IEwPhon2e1k+5M83C/o7zekPqfx2yHnuvrQ +R+i/Rd5z56TwLpIV85JB8uHeOd9Lco3k9f+VbXeZVrLdSW06yD6atwwieehQ +jV/e7yC5fSPXDMysG74jWTazHKB9/CPoc5F5vfj7h0Hn197Xg3N/0sdXXLNG +erT2He1dtJ+R933Wpn6nExiT92n/UHietrH3yTbQDylP5y1vLEttAxJPfoh+ +Hta3yNsuI/uMbEttwrWtZZeOPL4av1+p2zVvOfva2HLocMZhXep3nQj9lPIS +bT5JLctJBpA893xs+fDT2M/dPYyRbFCyFR2ttRdbtpI+fX1sGfBJcDfwKvAb +4i+RZRXJDau5x2vQVal1aslp0qu1Bz4f9qQXaP9c3vuu9BHZi6STSJaWTCJ5 +ekZ4nkPD/JE+JTlePEbff2LJ9okWYZ48GBsfGHsutQzzqRf3Oj2ybKI9Unul +7FyH8d3Pjcx/boSeTbk08B3xn5tS2/P0HTS3vqXdp9z7lMx84kbKp/S3Km/d +SXqT5oPwxan5iNppbuh7Xh36kr6sbyZdSbYP2UC033fj/idRmuWtm2k8xBfu +oK4NpVPefgrZN4+AvhPZzqnjaeAHoe1jt5OsK7uVZPBmYf6fGJvfvs8z9yx5 +LMWvVgSdUPLevrHlBdnBDqhYT9seeoxsAVrbXHdgxfrtTtC7UttLqqT+7rL/ +np/anqw1InvFFK59U+8PLUSeD5oXkuG/lz4hHs46OTdn++pY2r1Cm6sClX34 +C/FA8SnNp5Lno2x8su+9VrKcKL+D2qm9vvEdHC/m+msCFS8VT5X+Lirbi/SJ +/rRdRR+3Jr5Ott8/KrYZL8psK9M8Py213XdR3rZf2cR0v7PC3nIfZUvJPoV/ +crY56L3FuHSsIqz9QDL5v9A3uef2jMkb1P+Vs44guiDx+MmGKFvPBant6lpT +TXnmFuDnSn6uz3Meuycjy5eSLSX/6xm70c8ntO8Bfpf2kyTHgSPoRt7xA+gJ +vOPGvNed1t9s6rbTHChZR1giPpbaBi8b/XqO98zbRimdXXNQe4/2nbtj9yHb +uWxMsjXJNv5E3r4E2fRl+5e9Xrb6e2PPheWSOyPvT9qbnhSPly07Z//SYZSN +4IxnPlJtoDtAa0Yer52htSKP6a7Q2pQifewRef/T3vdH3rZ7jYvs39Ui68EN +oU9E1jcaRLbRS96qB50Zef8Q/5atXPz4f1prkfeY+tDHIttLJV/Jzi6++WCQ +zyWnnxaZp2vta41eEdkW1AV6ZeR1tZxxmBPZv3aG+H9k2U58Q3Zw8Y6zIuvb +knuWyVYMfif2Gj0m2FPuEn+O7BOR3tQssi3x+rDXfgGdqr4j+zrLFX8T+Vsa +g6tIb0p9XfPIMqXGdacwtvOjoEdQPyK1Hr13xbKOZJ4LoQvERyPLqdLNpKNJ +1vypYpvcmZn1qQsi6yvSnS+OvO9KHpJcJNuRvuEu4Tt2TL1+m0j3L5vPDNZ6 +17eNbHcXH86i/89/RTVP1lKXUn7OeU6Vw7yS7X/X0H9Kuzgy71oDLUXmTevD +HNouPFfV8GzyA+we5uo66I6R16rm4/ZhTmpOa24PjP3NO4bvflzFPPq+1N9t +avh22hunRN4fh0AHRdbnJ0S2rUv+kN46NrLuuoR+x0TWixdRbga/HPv8+NBG +PrceYU+5TvMo8v7YKfL809zrGdqpjdp2C7gn9KrIsof2WflftL/OCudUP5PS +NbItY3JknVzffHpqKnuFfDvDI+vjR8FT9kJ3eDOyrzgK63r3sBdrT36vwLop +2BchO9CIyDaIpTz3pMj224ODXv967PPDQpuaFdvL5XN7g3O3RW7zVBhTjedA +6ODIe6Ge65bwbLIPyEejfiVfab1o3VwPvjayPHF9oJLXtDe9EXm/aR9ZBpL8 +0xb6YmTb7Oyg+8sGcErF62VEkI8WhzkpGVD+eNm9Vsbm591jy2uvRvb3SdbT +Hi95+j3O3R9ZVj8BOj2ybKT5pHm1JfXaejqsr49j75VdY3/D68J3fDZvn5l8 +V1rr88O67htZZpK8JP/kDZFllEMqlo/upP/qsW11mm86Vv1G6B2pr5POuEKy +RGRZ+kVKH3C12POlc5gzrSPLgpIDW0XmHeIbkrvlq5OdpWVkWVxy+OGx5SLx +PX3DAeE7ivdcHviP6GUBy6fXPnyXLTx/A+ZVZ56tO2UX6jpT15T52IT6KuJJ +4EbgncFzytZ/5skmnVoPuly+I9rUprzHuWs4rk/7Tqn3me8j61r/pPZTy189 +hmf9HbwW2orrmtN+d47/5NzF4B7aK/Qc4KtS74HfRdbTWtO+JfVVNffAQ8Gb +NJfBd4D/Bd9Wtg/ij5L1W8kil0IP53hX2i2ir5q0PQ/8kWSCoP+eA70mtc+l +PfQuzj9dML/rGfTxFno2Sqx3h15Fm5sL3vOPKHgsNA5btX6LHp+roYM49y1t +xsf26W+DTizbN5GXv4Zn2412r2hNQlvpvrQ7n+u/isznL0yt0xwCbZ46hqGm +xrni2It60KVaf5HlKq2Vz8J6ObJi/1mtiu8hX7j84CNjyzr3QBumlht30Rqn +XW2e4VOOa1S83rXWJb8tDf3XSa0H/y57RmpdfBv4g9jyw9+x5aBvI+vhGnf5 +6SU/NaLPzyPHOfzny87b3qP3+ChyHMlq6YSR43DOixxbIx4pPqhYHNliPuPc +u5H1tTVhXWt9y96uGAvx8jqRbRDak5dE3iO1P4rfrA08R/xX+5z2OPmS5JuX +fblB8BnJdyQZQTqG9IvfuMcG2r7Ht2tc8JrRehkIHV+wTCeZRfYryS2SifTc +kosURyC5SjLVB+Hd5CcVv5fsJblL/EP61/F561ySmSQviZdId5M+9knsPban +KM93suYNtDllK/VdoH0odbVmZO+s2M/XtWL5/+3IMsSJPG8z2vzCNdNkd4Ru +X7YevySMVe/UeueX0CGp7cFTtZelttnuSZ9PRfaH6Vh8Vzqa9C7x/naB/w9O +LY9vSi1L6jtJnpQdQ3KkZMhTIsuaqn839veTz1E61gmBt/cJNhbZWvqmtntU +kf0tso9Hx9J/1dc2rm1Qto97tmwpvGsdyh/aA7h2LfRM8QmuH8FY/A0+kna7 +F72GtA4aF70WZCscVbBs25+6MQXL0b/EtlP9Ih8R11bl3Gua3wXzUPHP4dBp +HBep/5d+9uT4rEruP8dZnroesk9S17Ng/WAoeGrBMoEcYRcXzZ9r0f8e4Nep +/4fj88FXQn/lGXbiul/L9l3IliWb1otl29FeKfs9jg7vcgHXrMn5WtksZVdc +XPZcOCHMB8XbSC+4omJ+eVTgmb20HsBNoSu4ZhN1q6EXlh1XMJ/7zi/bTrdQ +dmfe48OC5/rnZev7a3U+9bvG9DMh6MPToH9xfBz9N4MeLp2Na2dT/2jsdfEw +dFbsGKFNseOatP9qHx6e2H6wqWJ7eTfwUsUeZI5j2JN79k4cDyZdtUHge+J/ +j8Reo+XYOpa+i+Sx74POLB16fWx9bKv8EhU/f0/ZCGPHEo2Ctqt4TleDfhv0 +dunx3wXdXzaAA6TT0v83seOLJFNIHpDtvCX3fL5ke6z8IfLrnht4g/xE8if0 +Fa+jzfWJ7To/VGz7vwj8bMn6rOK77ub8VznPc30byfuf5C3zKx5Sfj/5tOUr +uES6NtcOSm0HeIj6JuCVnJua2eYju85M2cUr1lvkX5Mv4gbqV5bsG2kKfkZx +OHy3zZFt5fLrSX46ETqc+t5Fx3LdCu5bdCzXSPANRcdmjZA9RXs6/XeVH0uO +avrqULGOpBiHsmzd1OfldwjPo+f6K3Xc19XgovwvtPmTugGSL4r2sQ8GX1N0 +3Fhnxd8UHbs2jPpeRceK/Rhbj5oI7Ub975H9u/eDRxatI00HjyhaR7oRvC2y +LU9+Sekwp0Jvov6fyDbB67U/RJZzu4iXRNZre4v3RJZD7wPfWvS36gveGlkG +nAAeRP3f4MngweBt4JJ8K+CtqX2c8nW2576jaXNT0XaaGnyz2zkex7uMgw4o +OkZQOo32GOkvdcr2Hd/JeJwArg2+A/xl4tiS1fT5oPxO4CrQh2TrBO8mX5d8 +C7KFQB+Rnwe8B/R+ygLwTtCH5QsCV4U+IJ+YbBVlx5h1DvKsYg6lQygWcmIY +/yGxx/fTvPdozYOVeevq/8Ub5m1X2ZjYXvdrxTGK0h0UGzlLPjfpVWXHuUl+ +aRfmiGy/sgHLFyyZ6CTo07TbAzyUd18f2bYjG89jZdvdjwhrXfYSxQxI55Yv +W3vl19x7gXwDfJNTUscVyM6c5C03an/dHPR36fEnp+aTijf4imuf0b259nlo +DerHl2yv1r0U9yjZWd9Xso7m7tt5y1SjwjP1lg2Eaw+j7vaS4wqe4nhyZh9F +nZz9Wv8vdlb7o3yYF0r3on2v1Nc2lg+tbFvaYyXzMvE0+ehrUl+N+jElv6/s +4s0Sv8tznJvCvU4u+1730qau7GrgqSXH48r+qrgMva/G7zzwzNiyUl46Ecf/ +y9nGuDjsTa+V7TsdCl5Xsl9xGPjLkv2Kw8FflWx7kH9fstHo2Lb7PrKz0OZM +8TTanAU+S3yv5H1R++NLZce/y4b6QMn+2wvAT5Us/2qvka7bibXza2Qb2JWJ +beHy3Zxa9jPfH+yx6kexGGdTfzb4Yer7Zo5FW8J778+5X+jnK9muU+u00rMP +YF0eSPka3JJrDilahj6t4lhSxT9I91X7L2PbS2Q3uS927ILslq2hJa77oWh9 +XvENmudtKtaX5UvQfaWTytb0JPSkimPN5dO8qmL76cmVYIvLe5/qHmSsOhXH +msh23Ra6mTFZUbStpIfmBPgmcCReW7ReKhvdf34NaCz+WrSdYifoP0XbMo5i +TLaC39IcBucVBxE7JlZ6wU/BtqPYmI7QmrRZTfsXwLXAa8ELwUWNWdE2o394 +tnVF69tbwCuL5nl/gj8r2gZUvWJbgHQR2QOEF9DPLpwv8Ax3Rd7vte9fLrsL +184sWpf7Ffx+0bbLTeAfCpZ3n4stA8+DfkXdlwXbCufGjgv9WXowdcuL1v83 +gjcUbCv8BbqsaBvZEbzX55IJ9d2go6mvUL8U/FbBOsZhtHkZfD9t3oC+XrBs +/VBsfWEG9Cfq3i7aFtAjyJzaW5+NbZN8Ora9VO8kPXW74O+Q32PH4OOQr2Me +/cwtWB+S/Vk2xgg6nWsS8O2xY2u0BjtCX6DtgoLl+NnQSUXbVR8F3160LfUp +8J1F2xOfBN8B3g08S/tV0TbEg3nHsUXz2lgxDOCi5ixtJhdtG+1WsX3waOmv +kq+oX6znknxBuZVzLQq2I8iGMAX6RMF2z0sK1r2ld2+Jza83lR1vdVnBMVcX +gdvTZj9wgWfYH1yfe+3Ovf4qeM68SN2ygm3hC2TbK1h/Wwh+u2C79SLwCnAj +8D5cuxz8mGxc1L9fsH54ObhrwTHfL4CXFGwLnwh+rGAbf6SYk6J1unegPxds ++/kA/FvBds0OmpsF2yY7aq4VbLP8WDpQwbbOy2SrKNgef6xiAbUGqb+Bfi8p +WpccD324YD9D3YL1KOlQeZ5hZsFz4GjFphWtW2/mfXbTniidomBbj+w8x9Bm +n6J1y71591c49wBtn5fOVLDu9wp4JbgJ+NiKfX7HQ/dS3HbBvG5PcP+C+UlE +n1W45s7IdmDZe/+EbqNux6Lj7KvSPtU9qN8DvJ2+DbiLeEPBsfK1K7YXn6t5 +rfcr2qYs26lsobr2QdreVrQNfQf6eaDgOd+VuhsKjqc/uGIf6qHQLySjFZw7 +tFH8pGib6xLxqIJtfm9J9izYVrofff4cmbcvFZ8s2Gb3Gni1bA3gxeBvCrYR +7iu+VzAPf4P6dQXbL9/UHlKwvbAT+LqC7b6dwb0KtiXLFy/fzV/QTZI3i7ZP +zxMfpc2J4Pngl8B1JZuC54OPA/fLHPf8Nu/YivE/tGg73bTEca3V4C0XJo6Z +zEv2Tm3PUEyX5AnJFYqh75E45jylvqf0DanE0ilKjkc9hWcbnTjudzfq+yWO +Rc/AYxPHxypGayZ9vQjeFfoV9XPAn4sPJfbxfapvkThe+jPJh4ljrb8Ab0gc +g71OcyzIsXtz33WJY6FXUf914hjsNeD1iWO518pmkNgPuzPPMCxxrPtO4FsS +x8PvKFtiyTKSYu8vS5wvUE5tR7pIfCyxH+TuMM/lL3s0sq7UgXOn0z5O7UfQ +XD6m4rgXyZOKTXme+vHg56D3ca+Tad8gdhz29JzjsgYnjtXfQTb4xDH828um +CL5UMmzqOGnZJD+RDJA41yBJLQ9JnlGOxAtl2xQlU0nm03tFtGmhdwCXUsdg +avxjyVaJY+MVJ7YS/GDOcWjSIaVLHqz5AB4CPjJ1HL98vMpDk+/1zZzj8hUT +rhyixdAZieMNDkotJ0vGlsytmH75kxWPLv++YrOVz/dI4ny3wzU+4N7gGuAb +M+cDLOV57k0cR32gfCUlz7fGXPtW4vjz4/VeiX3H+8q2nzjfZO/UOrZ07f30 +jIljs6uD70ycH7dPan/Hs5HttJOo70L9XvpuiXNVqqaOK1D8ieJQTkocL/0D +9NPE+SAfS8dNnD+yErxd2fO2Ku3rJo6p3qSYuMxx84qD/SRxnoXi9+onjgP/ +U/aExPHSfyWWvyWHb00cr6+Ylt80TxPrQb8qjjhx7sYv0iMTx7rvwTPXSxyD +/bPk/8Tx2z9CT0kc1/2TZODEsehbEuf46b2U8/do4hzDI1L7hhZG1pdlr66w +LsYKh9hIrf1aITZSYzUN/EXZNvlVZdtxpSfKv6/YAMWmzM+c16dYu0eC7Ug2 +pHKw8zSKHb+keAPZUeWnGAvTGV5xTpzsJLJVKtbi25zjA2Tz2UI/Iyv2F+8V +2X4lO2TdIBvLPqnYFdkklTOl+H/5oeQ/E++UnC+bqvjrCVr3PGfrsm3vyg9V +rqjyVJVLOA5cP/Ya15p+jrZdy47T0/ycx/E+ZcfkzwW3Ae+aOob2dskO0JEh +p0XrWnmRypc8PXYe5eiANUbKZdSYjUqc16Z+JmbW7cUbJ2TW4cX3xmfWq8UP +x2W2BYjfvpg57/d13T+zLUA8dgx4Rtk2hNGZ7Qjiq7dltgWIJ4/KbC8Qr34p +cw6Y1vvzmfM/xd8WZM4Z1nvtnznfSbz0gJC7JT55YObcKvGuQ0NMr/jwYSFW +Vvx5z8w5EtqbDgnxveKNh4c4XvHzvTPnFYi/7Zs5pl/8TX6Bj4OcIBu45JT/ +VWwbV6y17OHfle1LV7zNwSFuVvxWfsP+QTaQf1BywUEVx6LI96Q4PNnJGwX9 +Sz7c0ZF9N9+UHXeg2KGDMudriW9XD3lo2jd3yJyzoXW6e+Ycib8Tx+xJNpFs +rHg85Zgo/kFxccrHkW1/+8x5HVrLL2eOz1ua2r8rOVQ+oO0y52NoXe+YOfdD +/GGnzDkb4hu7Zc7rEG+pmjnvS7ylRuYcNu3d1TLn5mnfTzLnn4jXVTLnn4iH +pJlzVMTTdsmcNyLeVSVzPon4ycLEucbHptb/ZQdQ7q5sOIrpkz1FPn75eKXb +LS071kbxVEOTYC9lTH6UzizbROa8ONlKFY8t/9ff0rv0fZNg29S8TRx3pPjt +/kmwFVS8/uRPVAylfHNrJC9W7GsbCK6W2Ad6G7g6+CjObQ+vG1dxDIpiH6TT +K3ZN/m3p+opxWptzbKviRi6MHGci2Xhnrp0AHZQEGw54APj8nOO0xyS2Jyue +/NrEdg/Frl+X2C6hWPG5JY+DkmyuTmwnUUz7NeAzco5j75JYrnik4lzBhjnH +eD9eMpZ9RvH5spPINi9/RBOe7V9o28S2xJm0v0H7Tc5x6VPArXOOaR+X2P6s +WHfl8MqvO5VrL6f+eNltqL8isU3pYXDHxDalWRXnT9YLNhzFy+q9FPOoHGfZ +DBUbo1hN2cqUF6wcZ9kPFYvys+wz0mfpb1LqGBDF8v1G/fnUb5c4V1T7lfLs +FZMg38sXkt3E38F3VOyPk860Tnq97Glcu2NiXeBf8JSK88uG0s8z4o2pffKK +J/yaa2rz3Bnt3+baY2lfSawvyT9eTuzfXBXZb/4mbY6mPqX+Nsk5jHMC/kk2 +LurjxLGvsosqX1s+iyulR0vuo9RifGZUHCcsm6DykP4tO/5Sc0C+mHvp56DE +unA72be1BrlmEfWjoMXY+aZaM4pbOzSy70bxSLIDyB6gHOqP8o6FUCzcAZF9 +zZMlk9HPIYn1+YcK1u83Un+8/PTgQ8uOj9b/IcwMdgzZM6RH6P8eZmXOAdHe +OBM8SXuY7Alcu4Fr6klHBn8vux64CnjvsmPAlX+9gfbHca9dJN9Ruuaco6Ec +FuWZPiV9PHGu5Vva5zPn0SkGvin1B1I/HXxRYlvofeCWiW2nD0hv1juA7684 +B+zgnO2w8hU2ks0rdo6uYttlM22SOP9xasWx9vpGU4K9VP+Dof/D2BbsM7Lh +t+bcYUXHWMj/JD+U/Gnn0M+uXHtPxT50+WTlO/s9ts/no7L974rVkf9R9l7F +OCtPYQrjdGXJsY3yrcuXKpvSrplz85SncLxk2pLtb3MT/5/D0fQxt2z7uezP +igOWbK9433m0GQc9JvV/UCiPTPlkylGSn1957q8lzvc8LvV/ROg/RiQ/fJQ4 +jlT5IMpj0Hv1KzlXVHHyytFQAmM33Y9nPU4yOfgl+swXbYuUHVI5Fvpeozm+ +s2B/knwIQwr2/ciHMEf2kpLj2LLMeYbKm5gs3leyL+mFIHspb/Qw2nekfqn0 +Cu7VBvxD5HwI6ThbOd5U8v9vKEf4/sS+SOXszE9sx1aujXxtygVTTor+p0Pt +pVPL7ya/6n/5fSXHfsgP1zDz/2so52Ip7afknL/zduIcZ+X1KP9D9T/Lh0j9 +yJxtzudk/n8N5YY8Tn2fnHOR3gCPz1kPeidxDrXycRS/Oz3nGBrlhcluKful +EjClg+wC/iN2zJ/43uzEfknl+yxK/R8v+q+XDgXbzmQ3q8ZYNQ1+FcW3KA5B +NrTzUvtaO4HbyY5Fm1S2FNo3LzlH5AhwW42rvim4HfhHcHXwxSXnc9cE16L8 +FDk/RnuWdOIzMuffKv/lqcT+TeUfKZ9aOWLKD3oisR9TOUqyX7WkHyW5Km9G +Y/hNyf8bMiLnHO/9MueFKgfnOdrdknPOVL2wZrV2Gyb240gG61V27IT+A+eS +zH4I7V9nZf5PFq2jLmX7ePWfEsdlzquXvvlM5uuVd3x85rx66ZtNM/vtxH8u +zOy3mx7kGdklZJ+oEjtXUN/r6cz3UI5wg8z/7aJ191Rmnqtc73Mz/4+MdN4P +KNfyPYZV/D8/yhe9UPpp5v9ZkJ57YuZcZdl86mbOhZZ+Lb1E+51sOKdlznmW +rncpfXVnbG+G1s6c4yZdUnHmHXKOo6+TOd9b+vixmf9rQHq0ck7FQw6hzwti +//eOnueYzP9NIH387Mz/XyOeUz/zf75IPlSeZivaPp75vyOUe6j/8nmM451i +566en9l/Jj6sunto0yx23of+B0Zxg7Mzj6n+z+FJ8F6xfY5zMu8xyq1untkn +pH32CfDusfP9ZWPcIv9IWCP6v6KFmf+/6O5wL/mDOjLmQ2nzUOa9Wf79EZn/ +L0C6v/JNFHuv2MiWmf1bkpH0PwWKtWkX+57Ke5R9QM+oPArZtWoG2VIypv7f +oE3wV+j/K+QLkE9AOdTKN1Eu1EWZfXjay5SXen/eekGTzL5A7TX6745peY/v +Hhy/zDsOhl4cfIHaEx/OLDcoNuP0zHnssvm0yOx7k3x4cub/8pBtZ1etK/lx +JKtk/r8h2YuGZ/6vBNlDdqA8Ix9TxX6cVeAbJWdm/j8I7d37Ul6XLwx6aWa/ +puTYUzPnz8su1Cqzr06y5f8BBVup3w== + "]], Polygon3DBox[CompressedData[" +1:eJxFnAn4FtP7xueded+Zd+YrIckaoSSJJNKiLKWSkH2X9izZQrKUaBElWkgp +2VpE0a5FkSJLCmXJFlF2hZ+I//1xz3X9r6vT9zzznHNm3jPnnOd+tqlxRa8O +14RBEBxaCoKi/m7T30f098RCEAyJg2DPKAgGiPGv6A9U9hI9RuUf1dep3JAE +wUq1r6RyveqHqfTQ9eWin1X/3dT2VvXfpmurVc4Tf7z+PqZyvup90yA4UvVr +VW5VfVdda6l6J5WZqg/KguAO9f+f6H/Ev6giCCbpGZtq/J7lIDhJdCW1O0H8 +CeI/qWtXiXed7t1EvL11/0HqX9SPXK8236heULlN9B0qq1X/VW06qd5F5Rr1 +b6H+p6r/QerfSff/XP0qi1dU/Rfd6wvRD4heqfoo9T9Y/b/Utd10bYjofUR/ +KDoWvb/a1FL9KpX6ql+l8Y/X+G00fg2Nf4LKF/o9d+naNPEuFv2M6JNEXyu6 +uer3aMxQY61VOVX8WH1niL9O/ILKQt3vWPHe0fjd9IybxSvwUlW/mjFUbas+ +B6rvaSp9NebuunaKeF+ozwa1/VT0etUX6tpg1e9W+1bMn9p20/1f4H2oXWNd ++0DXeqvNRLXdT/Xu4s8Sf5b4rXWtqnj11L+q2n6kMa8Wr4l4H6u+q9p3Vvup +ujZZ15rpnb2n9gvVfl+1v0llo9oM1LUFGutslYNUbyT+PuJ9r7+x+j6rayNV +X6LyQeDf+KT6nabxrlW9u66PUvvX1X+U6GGi21R4TXyodn0Cr5VDVP9R83eZ +nmWxSm/xv2TOxZ8n/h7i9dPzbtc931M5XvzT9TvGqP6y7tVc9Gdq30/tp6j9 +3UWvOdZaoPGOTPzun2L9qz5Y/H3F/0h0SfxG6iMy2E/PV9ZY/4hfUxc2ij9K +/J01diddm8wYom9i/Yq/RPTPKo/qGY7T3x7q/6L6H6D2PdRmjq7NVfuLtQYW +qb5Z5U+17aA2w0ueU+b2IvEX8lvUtoXql4o/RfyW4t/A3KveU+PNU5sFavOK +rg0X717dr7XatlD5XG3669pU8bapbQ0932dqP1TtF+naEPHuUftT1PZClQlq +30jXuoo3WuUS1TuLf5R41TVHB6pvT5XDVX9E/MtoK/7R4o8VfbnobqIbiq4s ++lzdc3e1/03XHhZ9qfhdVG8gfmPRul2wv+hM9K2i24k+R/TBFV7D3UVfE3tt +z1fjc0V/rtJB13rk184TfR99NYffq/6eeMeId5F4dXX/n/RbD9AzXCD6MNE/ +svc570TXEf2D6P1Ef6r6n5qfa0XfoDJBY3bTeFdrvOM03mOiu4q+SnQj0ctE +DxN9ruZisejdmK+i9wB7oYro6qJXaaxv1eYGvcPpkc+i01Tvpj5z9Axna4xB +/FbRb6nf16Kv1G9pqWu7qV6HscQ7Q21nqH9V9f+KM0Vj/yy6o+qdVfqq/Wk8 +j9rXVPvRic/GL1X+UL2eypV6tjNVemmsk9V+V+QLskDtu6jM0vUOujZAvPEq +XXgW8Y8Vr6vKbPHPYs2I15G9qZJqvH1UHtS1C8W7Qu2PVNv39Hxbxe+q+/dQ +uUzXpqp/K7W5kbkSPZnnQD5xnogeyTsRfaHoNnreEYyr0lb1gSpzWG+iB6m+ +E+9K99gi+g2Vs9T/IfU/VG3OV//jypab1fU8qXjHiXe1Lnyjtm/pee7TGL+o +/rbKD6rvrPFuZH2IflMlUvvaurZJ9bFqP1y8A0R/Knon0RewJtTmWNY086V3 +1ky83rrfLPHOVxkv/jHidxK/gfijVf+p5PP7EY13iMb7Wn2qabyHRdcS/VXB +7/gsrZHnVH9O9eNUf0z8O8X/Vteq69rlGvMojXeC7re/xjtQ494i/lzx54tf +U/StoueLXsh5o984UfXHVS5Rvbb4t4n/kugl4p/HM+nakRrzMvau6IdFHyH6 +UtEf6v6/q/2VyGKVCvGu0LWn1X+S6Ex0l8jn6eOid+G8Ez1F9DOi92D+RU8X +PV30Gs3HTNVnqH61fl9H5gh8o99zgO5dVfSNav8i57uet4r6Xyl6muip6hOL +niu6gerj2dOibxI9W/w5os9V/1oa7ziNt5/G64OsFv9l8beq7CH6FPX5mLNT +5Qy131/tG6j9XuxnPdNhaneoys161kOKPjM4K7aofUHXDlf7USW3L4k+WvS4 +ku+3PZePnOnI24t17/NL7rufyt/i1xR/hK5VE/8v0QeLfkD0HqLb6e+T7C+1 +/VzlSl17SdcuoI3anqr6xMiy6jOVa8VfxxoQf7r49fS8l4veG3kkfu2iz0DO +vu9En6n2w0QfqPZngc1ELyx5Dz+Yn12ni94Y5meY5qWgvhM5b1XfW793L5WR +yHHwnt7RMPGHq5wMttB4i0uWIciSA9X2Rs7nks/Pg1JjlfdLPl8PFn1TYAzD +ed8GGS/6iNjzMVhjvgp+AP+q3gwMI95PunaG+pbUr0rRe3WcSg3Vz+TdqP3X +okO1qa+2Y0vGKzXFP0f1fcX/lvnQ/Q4Q/2h+G88j3mbN70XivcQeVP93xJ8D +9hZ/CO85MIY6Ss8zV/RFqjdUOUNtntP4j0fGmnVULlX9wpLn/kjWb2o8+1TJ ++zcRfYLop0te/7+of6IyUG0Hq8yJfIZxdrHmfxB9suj1oTFSL/V5s2SMDX76 +VvyTRK8L/RtGaT2fKPoD1U9R/b3IGPY/7KpyFGduyZgT7FlV924l+iPRy1Ra +iW6qPn+D71SqiW4t/ifivarys/q8z7ml8rzq1+h5VrFn1XaSxt5d7VuK/lD8 +pSr7FL3GWdsrmWON3Vj026ExcwP16Sx6Z83nL5rP01R/JvLZ+wX9eTbRp6v+ +gko5NX54vmT8fpF4F6v+vXj7qhxaNCYAC3DtIo1fl/NGzzpP7buLbgz2Fr0A +PItuotJfbQcwRtHPwL1fV0lTy9sZJeP3d3S/41Vfw/xy3pZ9PjTTs1cXP1P7 +9qJnlqy/vKH2zVR/V21PYr2q/pWunaf6PJW9i97j7O0VKsvFayp6terNVS7R +O1yM7FLZrrFrqNyg8deWLK97qixQ/Xwwtp5lTtm6TH89T0vxrtH4FRrz9YJl +yvVFy1Rk6ffoUaLLol9TvZLudy/YRvSropPQGPth1npi7D1BfyNd/073eCwx +5uZ5boqNxZuyX5FJrPmydSr2/y2xdS0wKufDzbGx6/2sf91vue6RIU9S48ul +yHh+X+KznLW3LrH8vUz0abwv1Teq/9/q31v0LSo3qs8G9b1DY7wIFtX8vVLw +MxcyY19keR1da6pn+FFjvsu8iL9Q9SMz65YPcharfrnKGrCtyt+633rdb1fd +7x3RV6vNbaIj0UtF/67Sv2gdHd38L5UaZevg6N73a/xb9Hzf6hmG6hmWiPel +2lcVfy3yR+PdJbqa6PdF7wBnqM/barsXeIq6+JXEX1Wwzvx10TYCbAPo1NcV +jXHANt/xDPqN1+jvuSoHJNbl0anQpdDpd4h/ODhZ5Unxr9Pzrc/1s+fRJVPj +w9fA2eJVS42XV4quB55nD6n+oK4tV/vZZesi/TTuyei6Kj+WrAOiC1ZX/16q +v1Oy/rCf6GtEv12yfrGX5rt5wRiL99sOmS6eHi1oyl7WtQGBdXbW02Gp1zs6 +EOvp+ly/ZP3NUPtO4Bf93uoab5Wu7av2V+vvWyXrJ+PRrSNjs31UaonfN/Aa +Zi3XSf170DFZ3zVTj8090GX3SX0WcyajP1Wklq3IWPSbnbCZiF5UMl7/M5c/ +Q0vG+5VT61cvg0NF75xaf1oi+hDRu4ruKHoZmFl0pP67FK2brtKk9NG1zeLd +xxji7Zlan3odTCfeHqn1mRWiD6/wnuT3Xx/79/2I3qu5madrE1RvK3411Y+M +jVeuTq3boeNdn1kG/yL+J7Flc6XUsh8MUEv07Sq/qv4wc1K2zvlzyZgYXRQb +UUfwbmLb0TG69lrg8+lz8d7XfX7T++iu39dTpUpm28UTKlepvk68ZWrTPvQZ +MDazvore+qTG+6HoNvDuDm0LWooMCm0T2lPt26reBqyq+lzd8z5db6H+zRNj +PLAeMgOs+IKuna+2rdXm7sTzdSI6ETYx0btrjKbivyX+Zao/hS0s9Hm0iDMz +s6w8iTWd2cbyksZYE9j28orGWqCxjlebZiofF32NOjoqZ8MSZHDoMwLMCfYE +Q4N9F4s/T/zGYJfQZ9NLoluEPqOq5vYG8B+2ofoV1tvAdGC7qsiayLLs2dDv +kHd5MXu47DXKWgUzo6uyhhfl+BFd9OAcT4JX0e3rZz47O4PnNf5RokeL7gKm +FF0vs13iCuwLmTEQWAiMhG7wiubsntBnfOPEaxDsDGZmbVZSuU7PO0P8TYkx +I1gaDA6WBLPN0vy+FRjLjVE5p+C5Ad9Pwb6p+q0qS7DXpcYeYJDr9Dy7qDQU +r6aujWKOWPO8F9EdVf9Vc/uJ7n+mrg0JXX9V1zqEvnZuyWcKZ8nm0LrlWM7o +0Drmi5ExC1iFa2tj20Zrh5anXVjPoXXWv3T/R9V3dGRZsJeuP6z6OGxcoW3C +d0TWOdA10Hn7qz4RHTa0zny2nmeC6P3hh95z7D2e9Wfd6zrVi2pXhbFVv1bl +X83dLqLHIG9i3xt5dFti3XWmyh6hdVhk0VyN3yi0TOpQsg6L7rpJ5QH1+VvX +n8ZOq/fzQdFrlveBjvmi+Bfo70MqbyS26WDbQUZs1vN1jmwjxjb8JBgxsk0E +W8gVoTE12Br7I7oytrtV6EShbXjoAGNzfRd7G/ZA9Fj02Y6qz9S96oChVX6O +jU3fKnpsMOrvunYWOh16sdo3Afup3o39xT2wL4BLmWf9rat7rCj6zODs+AJs +Jfpc0eeo/KRr1XVtGGe46vvpN56t6xv0PFeo/kfRfWg7TGW77n8Ieye0fXlA +4vMXfXEk+ojKJbw7lTdVH6IxRoABREeZZciSXD+7o2xMBbZC5tyNPqg1dga/ +X31eUvudOMNLtk8jbzemfq+835tU/wA7EXhcZRvzldl2caParOb8xi4nXheN +8Vtim9/NJdu4sAWCIcGSd4r+jfer0kb3PhkbEv4H1qfGWCH+MaKbZsb9YIJ7 +RDfJbEtoKvou9q7a9y9Zhzxe4x+T2S5Ru+DnrST+nSXbxJuJ/xHndmTs1gu8 +Kf494u8pfgvxj80sa7AJ3KL+lcUfULJMbI69PrWsOprfnNpmfIP4uwS2Jd8s ++hvR9yITRb+q33qv2m4F14neih1c92+P3Uy81dhRRZ+Fj0Z0Jd2/PnqC7vGQ +xl8sfj3OZ5VfseFp7FWRdYkpoa/Ba4cfRf13qByrNiN1bQR4WaVGaAw5W23v +1vP9jc1B9Ho9z4LEa/msXL9FpiPbwUBb0CVFbyrZhjxT7T/FTsr5F9nei82t +d8k2Rmxxt6HTih4jehXzhR8o8h5iL52UWc9Ex16v33diZj3xddHr0I0z28L7 +6Xk+SK1DoUuhg+Ebwr5ZOfCeOEL1fzTmEWBr8Hlu47xX7asHtn3WznzWo7Mf +ovr3rEk9S0P0fuy1/F7Vb1f7F8reM+yd7aJ/Sa3zofuhc+LLQedE9zw1sC8J +f5uGDg7Sf3UTYziwHBjuLvGX6Vo/jXcJe0j1y8WfLn5b8b/B3pfZP4Wf6inw +ZWY95gJde1j3vwMZqvq/+m3PVFhm91DfN0qW5d+pX6rfc3TJ9mfO24cirwHW +Av4fzineMe/6mMR+JPxJXdDlE9vRsKd1U72rSgvkVGh7XMvMeik2949174d0 +rSx6KGeMft+zotfqfnvqfn8ltiksR7YVbWtAnvcp2GbwqeoljbdraBnzq8ZL +OVPFf17X1qh+hUpddBHR76reMPPZ1o09l9nm8Knud0LJtohPVN4LPcf/zbXm +5I+S7Vffqf0W5JvaH6FrX6v+hMoy0ZVEb0+sU6JbYt/4TPUVmufPAr+f1qr/ +L7Ydpkf+fvE1jsHfEdrnyPmMHePKfD3G2OtVBoXGMb0j23iw7eCjwzbDWcCZ +gI1mBTZu/Fv4JdB1E/tF0eUOSmw7DtXnkdA2ZNqMUH143rd2Yl8t115XfXhm +HxAYq25mmYps3VnXjuQ8iv3b+I0rwUmJ7WjY0+qoHqrNP5F10cWJZVQF81Ow +7HpTfb4K7KM5U/WrEuu+vHP8l4+rzI5st8VeezP7Xve+P7RP7N+in4VnAhfu +hv1FbR8N/Rv7qj0OozGs14Ix9OdqszIyti6o1C8YYz+tek9d/0z8G0P7NLtH +PuM52/HZ4U8AB5wBdlb9j8g2bmzbV4UIUs1VwfgWvH+lygb0XXxZFf4LzW+8 +kvMiss1oQL6HRmT+TfwWsO4ZKkcx12q3KbPtbofokaFteMsT6z+8/9dY7/l5 +0i7Hz7US40rwGTiN9veFvlYrf9/DciyBf553NjbHlthLD02sG/KbB+U0vhTm +E30RnNKxaCwFXnlJ17ZH9ovhD6uRWO9A/8AegAzmbJ4RWzaDafAt4mME6zyD +PQpZG/q8Yr39rbE2RcZ281UuFe90dMzEGKWgZ/guMnYZoDn6ODLGBmvjT8Y/ +/xE6b+z7cn/sGdg/BqnvG4HtV8Q77KnSpmAMOUv1fVVOKxgTcT/iGZirU3Rt +d9VvxuaCbNK4j+j3dFZ5UWOeic2sbJ3gKjBgZF2hn55pgerHaIxdVY8T237R +IabyLsEruTzoU/Z6RffDJlUPe3jivYTudmti+kLV++T7iz3OXsd+c0di3zRn +K2csPurbM+8J9sIFqnfiHeh+Z+h+t5dti/yi6PnHJvkbfYteL6ybvupzlfo/ +q/5nZj6bSkXrxpxRc3TPi/W3Hfgql0+vx/a/9szPZ+zGvcVvqPr0xLZYbLJ1 +dP/Kuv9rkW2VT4eWJycXjGk/UP07/DH4tETfpbKXrk0OHMPB/YZltuEh85B9 +LZDLRZ/nnOv4S+eVfN58K36fxHPZSCVR/d3IPid8TejINyeOZ/i1YHvbtsg+ +yh65DLxXY0wV/TzPqHrXyDYHbA3oBG9H1onRhVuFlmnIJmwGyLotmpNvsF9p +jpYyV5ExGVjsRJU3I/uw8F2dzPtQ2V30tNA+rZGZbdpg2qb52t+3ZHnLHugl +epqe55DQz3gGNlJs3bpnB8339tAxH8R64DObwLstWn9EjxwverroQ0PHrFyd +eL3/qbbDVZ+C/ib+4aFxzrOiXxBdL7Rcfp59K/qI0DJumOgn0d1U/6PgPcBe +QEeujH+7ZJ8Hvg50wtp6xseLxpxgz6HiPSH6oNAxSA9l9iGC0cHqO3Nehsa8 +O2W2Vc8uGl+Ds7FPchaB8cB6XdV3svi1QsdAjUAuiK4ZOkbkEd1zU2Cdc2xi +WwE+Gnwz2Aw6c76xt7EbJ26PXo2Oi67LM+Mbvifyb9mcWvfti3xKfRakJetj +zANrjLV2S9G23u8jx7QQy8K591NkHyy+V3TSc/Q+x2A71TNegn2V8zvwmYp9 +aQfnvPiLQvt0v4nso8I3dWHodcf6I77lTrW/KTGW/kn00MS+g3VFyzZ8CPi8 +d0GeF+0LJ2bqT95H5FiqqOg9yt5kz+F/Q5bshLzXva7UeJvEvz30HHCWfFX0 ++cWZsiWyD/o/3zPrJ7bdAfvDo4lt2Tjo6cs8fh3Zh43vGh3579AxLsS24NOe +nfh3nlrwef5X6JgaYmnAqBuw5YqeHdrmsjV0jA6xOc+I/2rkM4mzCJvaisg+ +anzT2MTmiU6wUYReY2BAsCY2PLDhttAxUsRG4dMOE8cy4CO4hb0U2YeD7wad +Hl/z4SVjSPwU+DKOKtl3hE8D30oDZFZoHwsYHT/rioKxO76W+iX7xvC54IPY +oPmqEtk3gW+hXsn4CgxC7FHdkn3ZxCCBaV9TfVnBWBcdVkssqBVbt22r8pfa +P4HMLFuH1TYLasbWbd8VPTVwzMDryO/U8nOSypuqD1OZUHC84Ap0D5WP1f4V +9X8CW6BKB9aw+EuJJUxd7x/YFxCX7VPEl7gHMlj8zqov1zPNqXB74mseFW+Z +6kvV/n7R43iX6P8qawPbxMqZ8VmzwD6Zr1P7ZPqCxyP7atCHKxcck7Y4x7f4 +komxejuxPQPbwL7if5k6nmpc4JjI10T3S+zbuiLw/gIv83uR78j5Q1PHmuET +wzd2m8oDBfvD56k+V7/pOrUbyPoV/UfZuugQ0XPQbxPbmw/P9dWniCcoWDa8 +k9rHd4N+D0Fp+P7AXysCx5ChH2PTxLaJTxD9+djyf2FuwT3obKnnlLkdIPoF +0ePKnu+RoheL/r1sfzZ+7RcqbM84WLydA9vf2+q+LYrGYLugt6U+hziPpqv+ +Umr88xDX4GmMVrFjeBaIXih6jcYeJXpJ6vkiVg8fIb7CD1Ov2/dy+/e/rBfd +8xkwuX7vp2ozN/AaHMH9RA8KHI+DPn4OvyHwtbNSx4Q+qL4HRo4VxeaE7Ykz +nrP+7NR+RfbiZ9RpE1inqVD99NR+TvbehtS2R3RdsFd/1kJqXx4yZYieZVNq +3xky9eYc/6KrnyL6adW3ptYLsamuwT6g+SiBo0XvltoHhy+O+Dv8jyvU5qHA +Ma7ow3eJ/3Ng+yf3n6Hf9lTk31A3NOa4PTFeBIugfxE7+klg/eRLdNbA/jb8 +br04Q5H/2E8S+9ixd78rep7ql6WOVeOZt+Xzw324H3MXpY4/Yk91T22THqzn +mVS0rZr543kPU/sUfJrmsWtq/7vqv+n37S1+pYLte9gYOMdvVWmS2OYK783A +ttgdeTwPz4htHnsEOOcWleMSY4RZuv+sorEDGGS+6DlFY5NJqWOZ0QXfTm3P +Ye0Q04VtFB9NZdXnF+27+Zd3FNhHgK/gu7LtS8TOzaywz3ggmDmyL5n4wy2B +fcrYQ7ChoAdeqnKs6ieWvZfwSd2QWs4gbzqp/1ucrWWfPdh8erP2MuM8ZHqs ++jRsQOBwztzUz0dsEmfI6WXb3PDHbQ1siyOegbWHTnx7fn4T+8WZzv7ZULbu +dafK86lt3uDcswuOhz4x9fohHqRtZv8JsS81de0rnq3CmB394AG17aNSr+D4 +VOJHp4p/cOLfP068yxLLDvYvutjliXXNDgXHkx6eOr65quhrUmPPaZH9DWDQ +zxP72j8MbI+hzdnityy671eJY8+IQdu/7LgK4is+AdNkxmhgDfAK9r6fU88l +8TWHZbZh3qaxb4tt28S/2UFjnQzmTl3gM8fwsHFXUf3HwLbvHpljY4iR6ZM5 +hmh0yTEgxBbh3yOWmhikrzPHhEwsOeaEWBHOOM66R8FFmePP8IXgv8PefLlK +WHB86fmZsfhzkf0zYHLsY+AcfPoNwLKZY0PuVpvRmfEgsY68P97jc6nf3fz8 +LEceDS7YXot9tDNrsGAf8IXqvza1nQZ7Df45dIXJkWND0Bl6pX53vMPzVX9C +pUHB9uiqmWMYq+n3/hE6trGXSiPR/wutb4EfkCvIl+aqn1S27Zxnms1aTH1W +c8Zz1n+S+mzG54HvmRjqXnqmf0PHVhMzTe7EVUXHUl+bGmeANy5WfXJqXZF4 +RPwTM1PbgoiHxL6MD3iNft/LRfuG988cR0U8VWvVJ+Nz15y21ng36VnPS32+ +fq25nVDheP9L1L8jNoDU/rSVGjsC36nN08jHxBgBrHCRyo7AMXbnqe9XqX3H +dXRttOrn8o6QB+r7WIX9cWDFf3Ttm9g+bnzd7KeRats+c5wwZy5nL+c5Bmni ++Yg/xmaDDYX4kY2idxd9X8kxCK3KxhxgD/TTJ1PboLFFcz7wPBXEeKh9FbVv +ovancp6Gjm1plVq/BHt+kdtUZhPDkPh8nyJ+m9R+SvyVnG+sedY+c8bcIf/J +lRgnenDmNd9Y76J55L1QL/VZx55k7/bk/Yh/XNHzN173Wx+bf2a+XogVRCYh +z7HhLY+NGcGOyChk1fPYTDLL6wmB5wz51zH1u5umS2vVfpL6b4ndBnnOPbl3 +s8jv8pLU7wY+8S+P4y+JLdOR7fwe9jIx4zdn3mNNVD8h8t4DT7QJfAZ/g7xM +fe9SLj+3gOcLtv3+kTqmhfiTbTn+6YoMLtrmiO1xSYVjgKeIv1pt26rNt4Hj +zVunxoTUL4mNFR9VebXknBXWb4fM9t0zNV5v1ceK3xcbWo5/sJm9EfuZwT/n +qM3R6Ov4qFLnf/wQONbih9QyC9l1fOL4CvAUY21U+T61DwVs/XF+HozR+PNj +Y47jRS9MjTXbqe9L4v0v9VxgK348f94G/H58YqJbpMZCPB/5SSenXpvn5Pv3 +/tSxHLep3JefN8wlmBB8SP4N2Ol/+fnGHvws9nnH3rxH9A70TX6j2g4U/Q/6 +JpgReUQcAXNTsL/nLvH/1LVJyA/x+/MbsH+Ifh9be9nYB4zUrmz/xebYMuA6 +3W+A6O25/ka+0QjRqfgvit4EdhRdwb4T/W3ZMWt/aT4qFR3LVpEYOyEDwRWf +lux7xSdDfAV4EpsC+s4fmf0pPDs2vg2JzxDOEmKEyW0Yjf0xNkZrrOcbKXqn +2DH7m8Hqov9F3+adImtQRmPb/D4R/XKFMQKYZEOuDxALg473UWqdCV1m39i6 +1AWpsSv7iXykibq2MTb+RzdAHl9A/AE+dtWLqbEtz0d8DGc0ZzUyG/7Ksud+ +Ry4fiAklpvm4wLGiD4rO1H4W+xFduey9wJ7A93E/eD52/tdG8YYTv4IepzKM +WBSVsuovsOfEv090UfTzor8UPRR5glwW/YXoIaJ/iC2Dr2d/p8Zq+AuIl7lX +/FD86cgEtf8pNdYiXrVO5j3B3jgWPFl2TCs5FWDC7vn5hRziTLsiH59YHM4H +8CB75vPAv4+9NE7t18XO4Xqm7PN1Q2z80z61LfD+yLGO2ASxoWFL61p0PA45 +UOwB/J3kRoFhiU27Mza2xRZ4b+TYfGyC6GjY5Tgz0N1Oyc8nzizOFmwM+MzB +DGCHrZnXGr6cGeIdkjiWCBvakFxmIjuRGR1SyyPakE85KLWt8IHI9lBshvun +3q88M8+ODPk18G/mt7Pevoq9Bi9MjZeJm0QH5LxGBiOLiZHAngAe61GyDo8u +v4/u3b7gmPa9Y8tUZP1RsWUtMhRZio7Jecie4N1cmnivYP8gzwydmf2xOPO7 +4B3xrrg/+sQhOTbgfMRXig6NvMCfeHHBOSZLE2N0YmNvjI3d0XHQdcgXIt6A +OWVuwUgPppZn4A5k3KW5fEK3y8DgqW0I2BKIHyBealrqs5V8NeK/wABgATAl +2BKZOymyzo0srqZ7tS34nXKOkFOALQW81FL1KtjfCj4//jtHiJuJbN/FBoy8 +WBR7zzdJ/99nhww4gXeZuS86DLrML5nXCnbX6bn96qzENqdZ7PXEth3yWXdK +bN9orb9NxO8h/rSSc5Wwd2D3mJ+6zp5j7/F7WY+sOdYeMYs7qc/SyLGM+Cnx +V/6FXTc/T+fGlgGNUstb4qywlX6bWt6Cq5BhLUVXUekUWGYju8mxJOaG/YPs +7Z3rg6fm8hLdrLHGuqlg/ZScJWQA8XXEUpPTRk7wo4Fz3Y5IPRf4KInVJPCW ++APy18hj+zF17A3nA/K9dmp5wpiMTUzFm6ExMLEWP2S2n2JHJX4BG0Jr/EVF +2xbwVYD9wID4LPD7oRtgg7oxsw0J21XP2LYlbAjECjUr2raAjaCV6OOLth1w +HidqO5MzrWybC7LtlZJtMT9m/i34jqYgy1P7NfDxYk/EB4UvbUdk3xT4HCxM +POqBop/KbLsnZ4rcKXLu2uPviZyLxz0XB5YJPAsygXzhJKexL2K7x1dD7N8k +jVc7cE4buW3I1NWB1wRrA5mxUPQTsWXJ22XL1odE31lhGym20l007rOiH88c +60nMJ7mmxOCCVUbEjs1dLv7xORbgPH6rbOzyoPh3iB6Pf0r0YPU/nfM6c64d +OXvk7iGvCrHzf7/PjFGqFRxzAXaZmNlXRc4RuUdPZ84tI+eM3DNyik7Bvhg5 +14gYixNE148cezEuc+wZMWjtK4wpXhE9LTbWIB4eXzA+GuKZyH/HF4zPAd8D +MeZgrftjx54TM4evBp8NudrI9KXiT4kt68FMy0RPjY2lkNlLkH2xZTk5zq31 +fC0i53sSI9206BhgYoHxqeNbJ2aB2OyLda1h0TFdxHYRI3Gi6AaR8QP2PWyL ++Hc/jo3hXlb3ybGxHT5hfCv4WIjFODrxfidGBv8rMVVPin4gdqwVGBIsMTo2 +tvwsM/ZI8/HeyRyLvbXk9/tr2bFsxMwRO/dp5r1Szn8vmGaR6CdzrPNu5lga +MCvjf5IZy5Ry/i9lx94RY0es3c9lx9rx/ogl3Fp2bB0xdPgbvsiMrSry+a6W +GSvgHz5U9Z/K1jWJGSR2EJ1TTYMDYuui+EYfwXYS2ke6JjOeA2ODtbeVresS +04f/48vEubHYQD9UfW3m9QGmBluD4ZmvR2Nj+6X6uz6wL6dHYsy1QPTjsbHY +usz7BYwL1l2feT/ykGBdMNyeBe8R9sqGzFgxzvEhmO8l0ZNiY0F0AuZzTOzn +B+PT/uHYz1c5cez4I7k8AkOD9R/L7/dRZmwY5eMR08f7HBs71g95TCx2q1zf +QUdBdxgXW3cBo/M+xsf+Pe9nXl/oOMzHx5nXVzE/fz7MvPfDfD4+yHy+oAMx +HjmAV4ruFDs3kByk70rOWSc3iZyQLSX7fPAPkZNAbkIX9mzZOQvkLnTjzCo7 +54TcE3wYQ8v2YZFLMDy2b4tvBJB7clfsbwc0TK0r8X753sCC3L4+IPa3DciR +4Psag2PnTpCDw/4YFDs3p1W+/g6LbSt5LrOtk5xmcpunZ85lJkefXH1s8Nji +sXFg65gm/omBvyHBtySezfwtCXKgyYVGJ8ffdFFiXf1/ZcceEbNI7CL5Ttg+ +1wVef+TwESfWV+NXz5xzQ+5NV+agbHsAulDf2Lkv5FiSa0mOFbntYJp+gX10 +YJ36qd8F74B3cZToBwK/I94VMbSI/YNjnw9Hixgv+reSvzdATLCGCg6Mvb+J +qdW/4KDY+5+YV2I/B8aOhX05ti2UPcXeIn4D+UsMDPEwnG/ElmzOMQ0xmPdy +fsSOzSSHa6joO2LndrE/eL+PxP4WB3k5/QP7HPmNYS6b0J9HxdZ/kXfENOI/ +ICeV3FT8UeT6f555P2S5PMBGgK2A3E5sf9h0sO0MjZ3rNBN7S+AYHGJx5mSO +TeEbBXyrYG0+Nj6v9rrf3MzfLiBHj1y9LHFuE/4x/GTkTJLL2yt2LuW8zLl8 +5ACTC/xi5tgkcvbJ3X8hc+wPMUvELs3KnMtPzj65+8fmz3B94Nx+ckTJ5bo2 +du4oeVf4lrCRfahrszPn+oPt+FbBulzXw+a9uuQYUGJTiFEhV5scJ3Kd2OPs +dXKoyKUiB4pvP5DDRS4XOUZ8O6Jhfk9yvPh2BPH9a2L7UPClTMmcj0deHt+m +IKaV2NbuYBywjvgNA+fYk2s/OXOuPTn55OaXE39/A38nfk/8P+cX7KPgezbk +SN+j9n1i506jo5DbUTu27kKO20Dxb42d+8Y9yYs+Mn8WMH/rIMf6oudnznUh +54Vc6gWZc2XImeG8Ax9j+yLfiPj0GZntW8T4/Rfrlzn+El8ysWNTM+sWfFOH +b+t0B58WHZNPbD64FfzKfL2rZ1iSGc+D69Hffiw7tp4YbGKxyfUYEDm3k5yP +5yocI0c8xe+Zc/6xhbaIjccaZY7juL5g++/qXP8kpm546m8ecN6dHHu+8VfT +Fp2A2GS+ecD5dlLs98P9LkwcM0DsAP6B6wq2r3QrG6MSh0c8HtgVezyx3u1z +fZOYIHINFkWOFUInQTfhm0RDU2N45qQja1j878v2H+Bzx16EToduh40PWx85 +c+TOXc6ZxHpKHKeFz4L4UfAHuWDH5fYK9B90P85Mzk6+icC3jprHxvvkU5I7 +Sowy/he+YcH6bRIbH3NmcHbgI78z9TcqWK+NY+N7dCB0oaPz+UNfw3ZDDCX+ +4y8zy/edcrxL7hO+HGxkC2Lbx4gtwEeJv5/zEX2eM+7u1DFFrKfjY8cakU9J +Lhz5cuRPjMp9VeTwkxP9X06M6GNj6wt8IwC8fkxs/I6PD/nXMvb+/M8HHlhH +RVfFv0LuB/7tfqn1LerYHMamtjezN8Gw2J+bJbbvAZmvLTmfhdhi8g3IO8Bf +Ry4MNiNsR9i7yL3iN2K7wP+I75xvVvHtKuQjudQbI+e+428hRpj3uy2zDZ5Y +c2wY2DKw4eObxyaGbYycm/3Vd3nRuThTU69NxkTekg+GbYPvm9TIHF9ILi8y +DT/fuMTf9lkZON6J/A1sKXyv5YDMOWP7afxXio5vxT+Pbwp7JHbJZ1PvTXxO ++J4Gp45rIr6JfMGBqW1XYBawy/LUsSro7Oju2KbIVSC2CP8+/n7qxBuBd/k9 +YAd0emJrsJnSnn7Ytgbm9jliNoekjmHG9li56NhmbOzY2onPJv5+n8yxyTwj +z0oMI2trfeTYxmmJ4yZZ08TH4n+8o2AbD/5j/EfY/olZaqf6u7p2TWQfIb5C +zgzOHs4szhL8W/hCsCmcnnm+bi/4THhHv2Vy4jhL9hPxWc0zx8pyT+JV2mSO +lacP/rwDUstGZC/2BHwEbUSfEvv8xf4D1samQZ4SNjFycfaJbSv7IzbdX6Vp +4jOLs2vv3B75auZcEnLQwSttsRdFtvHhN9s5dq4t9t6JsX0c7we2YWHLwuZK +/xti2/f4Rhj6dN3Y3w5bpfFHBM65Bo+8mXk9EeuBvou9BGyBTZN4H75Bw7do +8Gng23hN7e8O/I0t8DLvhHezR24fez0z/iJHHTwMht6e+y/QrcGAYEEwLLFT +b2TGZ+Qgg6f75fu/mNtXForfM/A3IsA3fItlSOSYSb7JAp5E368RO9ebb0fc +FTl3nW9IcIaju+yW2+vezowvyTHGnrE6897gu3nYQ/6MLd85I5EJP5Tt6yZH +i1ytgSV/K2+FynS1XZQZy4BpwEfYPLB9YFMlVmNpZnxGTjz4gBxa7CuHx7ZP +EENTl/iEKP9+Rdn2kvqxx0IPRR8lZuvFvA+6MToyY73MmRL4my7gk2WZ8Rr5 +5eB5vs0xMHJ8J9/oQIdHl+c3Y7tZkRnf8M029Jt/E8dwYS8nv4xvTO1WcAw1 +sdR8K+agonNB+WYMOQfgmbNj4xNi2MGfZ8XGJ3xb5cCiczn5xgrKAbnRxLCR +Ow2+R1dBhpBnyTcFiRVE/l+QOOaN2DdizvDv46vAn4d8JJb+ldSxf+iDyHfW +DLa5Rrk84ZtBezEXkb8lxP7A9ggG6p86JpH7sR7BK/emxgq75/aw0xLbD9Ef +X8vXCGsFGzC2tHMS2884H89O/I0q8PZpsfW1iYn9xfiTsdfwTUDwd7vY+h0+ +fWJvkDnIHmIAsV8T70E8DvF+5KYdFjjHnNhoYjWI2SBGemXq2MuLc32Q/Cxs +tXwzaW1ivRD9kBwVfKh8Uwu8fnpsfZRvxIH/28fWR4nZ37XgHDNi+YkZx17Z +MHYs+e76WyW2vwobJd/GqVV0rjLfyFmVOn7nstz/8H/sp6eE + "]], Polygon3DBox[CompressedData[" +1:eJwt2Hm8TdUbx/HDdY97zq2QMqRIk6FCIxJCEpVKaVApokmp/NJoSNGAEIoy +k6FEIUWoNMpQKJpLk6REKpLi935eyx/fe/f3s541nL3XXutZu3rnW9t1L5nJ +ZKqXyGQK/d9VOpP5p1QmU0xDFLzPv5nNZD5XdgJWpyCTeY3fmM9k6rluTX/w +U4ozmQUaOFA7bbHmYi/Ez8llMp3wU/gr+THiJmizprafx8aLHc4vUbZOH/Ww +47AF/Fe0HTsVq4+t5y/RbwO+Ef8tP0F7G/zfKa4+3hD/mh+qzV3G0hcrhW3m +98dzWGfjOR2fwP8TnL9ezHRla/irjHm49rbgG8V05He6rqj8MnGt1B2Mv28s +D8cYlY0S/1pRJvMe9mA21Y02FmDLsUewP7DR2OvYCmwQtgMbj72LrcQew3Zh +k7Bl2DLsIex3bBu18ntXYcOwf/nd1Ab7AHsc+49/Rt0V6q7HxsZvprnYZ9hn +2CS+DC3EvsE+xcbzxfQS9gX2CTaOz9M87HNsNTaC36uPadgq7HNsMlaWXsU2 +YOuwMXwRzcE+xb7ApvDlaBH2LfY1Np0/mF7DfsA2YM/yFekNbCP2Ox3J99Gv +R5Fpwn8jbgZWgV7HfsS+xZ7jK9FS7CfsO2wmX5nexDZh2+ko/n7tKc405f+g +o7EHMLczcwa/m+pi/eLZY234XVQbuwsrj53F/021sJ4x/7GW/J90DNYf2w9r +xv9DdbC+WAWsNf8v1cMexCph5/BfGtQz2IG0GPsO+xh7mi9N2XivDHIN9qTr +Apol7mNxa7FRfCmaja3DemGVYm6a20O9d3X5U+IZuS6l33Lm80nRvpt7pTne +R1xv2ondSxXUXcTfLv5Ivib1dr1Rvb3eh2P4geqWFdOexmjjLb4vfoi6k7AT +xR/AF+BN1Tu+IL3vTfjjqSV2WkF6jy/ha9CZWIOCtAZcyH+orTGuL9deB9qh +vf+wJuKOFbda2Wni/sIaY7WwFbEuYH3EVsZvUG+x8V3B96Mq2BTsdOM7iK8m +9saYu1gXdccq34LvxTLYRf7dgV0hrrH221MF7d3Gb497JaYizRf3Zcxd7EC+ +PE3HPsA+xIZrb497PxVbiX2EjcYK6QVsPXZN3CvtX1qQ1p7b+S34YWJ6qOsn +ZhryXfBmYi6nSuJ68C3oRP4cKofdxPfXx2HiXzSWi/3ew/gH6FDseawNVime +r9ie8e5jPfQxI96PeJZ8FXoL+xlrJe5k7Z9XkNb9bvwicTeouzreD+xmbFZh +GsO54poZ9NnKt6l/hP+9lLnMNPbnN6qK3VGY9qLT+Lz652DTgGbYrVgR1hp7 +BmuK3YLlsDbYVOwMrDtWEmuADcOOwtpjhVhDbDhWA7sUOxjriN3onRrMP0YV +sKuxm7Ah/FA6Ke4h9qO6j6q7BHsHu8Q92YwNjXWcP4WGiNuKPYktF/dozGf3 +oJHYA+jheD7UT9y34h4U94q4E7D7sQ3YA9jLWGmsOTYWOxnrjJ2MDcR+wYZh +b2PZmAexx2InYZ2wslgH7Dq/YwD/EHXKpT0n9p7NyjrH2Ohs7HlsOdaS704H +G/MO442HtMuzPQM7nZ0i7h1xzfjL6aFYv7HvsQ58nVy6R3GvvsHa8cXU3vWL +2HnK7tPmfnH/Yp/A2mK9sHLYFdj1xvww/wgdgF2GdcH68Q/Q/til2LVYb75P +rFOxdxvzTO0VGHffmBfG/ZW53TqekTm4BysT41a3q7oPqtefjsPuxtaLuzPu +BVYF6xJ7DNYRG40dinWN/Qm7GnsKe1Mf92XTPYh78QL2BnYP9h3WH5uNvRVr +J/ZT5BbUXP9vY32wTfxAcXNjXmF9sZ+xQVh/fS6N9Rj7HhuAzYp+c2m9vTjW +JlqaS/M35vEr+TSHj9fHu/Guu/5V3cfVXaj8VexabAV2EzYKe5yG0UJlnZTV +VXcQP5Bezqf35Lji9D7Ee7EAuwargy12favrT7R3V8wR5Uuw27BPsbuxydjr +2B2R32G9sX7GXIJOwgZhh8d6H2sBdn3s21gnbEysfdh1sb9j12BPYxVzaQzd +itPY4zdUyqXx34wN50dQZawztkTdK9QdiVXHumHvYddh47GtVA27E4tlv1Hs +5eJ6MB9g3bFp2LHYXdg6rCc2E/vKb5uKlY9+sO8j14h3iV8u7kZsUuQz2C2R +Q2I3YBNjPcRuxpZFPopNiJwEux1bhd2CTY38A7sT+xi7A3su3k3sZ/NgoDlw +BF/K7/439kJsCHZkrH1YncgxvQs7rMP5yLXzaU/s7b0o1N5YZR/w19It/E9i ++mBL+WdpVeT/2FnYTP6VbNp362K1lc3hf4v9zvUS7ExxM/ht1Ex7v2EDsK/5 +tynH/xX5NPYuP5WWqbsYa45N5ycZY33tPqV+XX1dFM8YHylujLjK4p7mR9AU +7IXIB7CJ/CDa6h70xMoq2xL1ol/lg7Gq2Nb4HfSL6+VYR2UL+Xm0EVuGdcDm +87/HvcTej/MM9jI/lg6P/rD7C9IzGGPMxxrzvcZ8X6x3cU7BvxR3Nj+4ID2X +CeJOFjcYe4wuEPcM1hh7Ms4V1L44rduxfs/Pp7WxNvaU68Nd3y3mHjoXm4id +io3m67hX7fbljk9l01khzgz9xe3WdyXX6yJHMKa1fInIz0qm89jRsZ8Up3Ux +1seX8mkfqVWc1rBerr9Q/0v6X3E6pwzIpjUt1ra7ilMu0MI9OTVyPWVP7Du7 +DM2ms0ycaXphTbD5+q0ae4XYQ+NMQaeJGxdnx8j5itJ9aYJNwiZSVXUnG+sb +6jTiP9TGF/ws+gw7A/sY+4r/gba7LsYm+7+an6m9c7U3FztfH7cXped2XDY9 +i3gmBxWnfGmD9qrxL6u7nv8pzpeuD8Hm+P8R/x0tj7zKb26L74x7mk05WQf1 +z8ZH8qPwsuJG8Dn8F350vDPYk/FeYr+WTs+3ejbNn5hHxcbyNFYDe4SvYsz/ +844/j52HzYv5g93md8zC2mIvYRdiPbDnsFbZtMfHXn8jNgM7E5uBtcCuxcZh +J2AjsJpYW2w8diI2EquF9dTvWOx4bAhWHWtVlObzKdk0b2P+HmLMU7BG2Hj+ +VHGXiZsWuUQ25RGRT3TEpmJNsclYI+wqbHrMIWx67JVYl337fOz3c/MpJ6ih +j2ddt3T9rLgzxXVVPhs7H5uPtYt7hb2AXYS9il2K3R35MHYxtgi7DLtnX34R +eca8fMoTaurjfr4vzcmnvOOY2FviXmEr4xmWTOeo+jF3Xb/uOe6nzZvD06zI +pfCKWEP+OvpGf+9pK6eNPfEs6F0xP2qvGNvL73avf1d3MFaE/Yd1of2xbXEm +xP6NMeXSN5Ed2ZS33crfhJdwvQkrFzmxMZfEivXxRMxDrAR2Qz7l63+K2y8S +cuwEbAF2j9+x27zslk/7Xux/n4n7nDbn074c+/Mafm3kLPn0XSG+L0zkt0Te +EesHFWnvb/0WKt/Nn0UrjeVn7CCsQL/XYAfps7c+d4r/L/JGbJP2/hRXStw/ ++fTs4hm2i300ciqsa6wd6j2s/jZ1i/LpW9Vbsa9m0/2+INbNuDf8edrrio0r +SuecOO+0xc6nv8Qti1w0rj2zccre53+NHFDdxrhuMg0iR4/zkd8xVt/dwTWR +u+AN43uAuLPoz3w6g8RZ5NWYb3GWyKdvA/GNYBY/O/K7fPoOEN8D5sU7HHkl +9kvko653Unyzq8/voJr8LiqLteDL59K3ttXZdM/aRG4Qv8P9eCX2I2PZlEvf +C+K7wRPxzOIsEXsWPaTxrX5HNb+jc+QL8Z6LXRznQWVH7ZunlcW00d7X2LmR +R0RerY/t4vbQ31ipXDqLxJlkoT4a8XuK0tkrzmBzsQZYlXjP1S0T3+MiX+BH +xd4Y+SJ/b8n0nWFwjDHe48h3S6a9YhjVxZZhw7B6sd7E2h5rtd9QOXKnyF2p +kK/Hv6esJX8VxUM8FnsTa8FfSXtd18aW+t88nhEtMr49fK04Y/Kt6ZOow/9d +Kn1XqU39sM38YdrtFPeAysTabnw1Yq6Y46NjnSxKedZs7V4UuTgdoc5IdcuJ +L8ynd3Ua9mLkarF/xdyN3Nz1SuylWGP4QVSrKO2HjZSVj70j1hjXa8QtFFcm +2o/nFPsVVga7ml8R59/47hm5lrGs5AfgVbX3feRU2Kr4FoEtiefg93ZT//KY +KzGeorQfzhG3Npfe6WrKLxD3g/jz+QY0M76xYF3j2zC/OM728d2hdDqzLeFr +4X3FbRKzNr6t8P8Hb+ToSQ== + "]], + Polygon3DBox[{{2184, 2183, 2798, 1796, 1797, 2799}, {2489, 1863, + 1440, 1441, 1864, 2490}, {2750, 1651, 1500, 1499, 1752, 2382}, { + 2324, 1629, 1741, 2792, 2186, 2187}}]}, + Annotation[#, "Charting`Private`Tag$276212#1"]& ]], + Lighting->{{"Ambient", + RGBColor[0.30100577, 0.22414668499999998`, 0.090484535]}, { + "Directional", + RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], + ImageScaled[{0, 2, 2}]}, {"Directional", + RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], + ImageScaled[{2, 2, 2}]}, {"Directional", + RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], + ImageScaled[{2, 0, 2}]}}]}, {}, {}, {}, {}}, { + {GrayLevel[0], + Line3DBox[{2102, 14, 2114, 27, 2126, 40, 2137, 53, 2148, 66, 2161, + 79, 2175, 2176, 92, 2199, 106, 2211, 119, 2222, 132, 2233, 145, + 2246, 158, 2259, 171, 2405, 266, 287, 750, 1374}], + Line3DBox[{385, 1, 1708, 197, 285, 749, 1373}], + Line3DBox[{1392, 2, 1852, 385}], Line3DBox[{1394, 3, 1392}], + Line3DBox[{1396, 4, 1394}], Line3DBox[{1398, 5, 1396}], + Line3DBox[{1400, 6, 1398}], Line3DBox[{1404, 7, 1401, 1400}], + Line3DBox[{1406, 8, 1404}], Line3DBox[{1408, 9, 1406}], + Line3DBox[{1410, 10, 1408}], Line3DBox[{1412, 11, 1410}], + Line3DBox[{1414, 12, 1412}], Line3DBox[{1415, 13, 1414}], + Line3DBox[{2124, 26, 2359, 203, 286, 1120}], + Line3DBox[{2135, 39, 2124}], Line3DBox[{2146, 52, 2135}], + Line3DBox[{2159, 65, 2146}], Line3DBox[{2172, 78, 2159}], + Line3DBox[{2196, 91, 2172}], Line3DBox[{2209, 105, 2197, 2196}], + Line3DBox[{2220, 118, 2209}], Line3DBox[{2231, 131, 2220}], + Line3DBox[{2244, 144, 2231}], Line3DBox[{2257, 157, 2244}], + Line3DBox[{2270, 170, 2257}], + Line3DBox[{1549, 184, 1550, 185, 1551, 186, 1552, 187, 1553, 188, + 1554, 189, 1555, 1556, 190, 1557, 191, 1558, 192, 1559, 193, 1560, + 194, 1561, 195, 1562, 196, 1775, 268, 288, 751, 1375}], + Line3DBox[{2282, 183, 2270}], Line3DBox[{281, 198, 2102}], + Line3DBox[{282, 202, 1415}], Line3DBox[{283, 265, 1549}], + Line3DBox[{284, 267, 2282}], Line3DBox[{281, 741, 1056}], + Line3DBox[{282, 752, 1069}], Line3DBox[{283, 864}], + Line3DBox[{284, 744, 1060}]}, {}, + {GrayLevel[0.2], Line3DBox[{2102, 2528, 2529, 2420, 670, 2509, 2693}], + Line3DBox[{2114, 2419, 2714, 2980, 2452, 2530, 2531, 2422, 2614, + 2707}], Line3DBox[{2124, 2302, 2360, 2966, 2362, 2301, 2407, 2673}], + Line3DBox[{2126, 2717, 2895, 2125, 2421, 2718, 2981, 2454, 2532, + 2594, 2655, 2580, 2689}], + Line3DBox[{2135, 2309, 2845, 2134, 2308, 2363, 2967, 2366, 2307, + 2408, 2808}], + Line3DBox[{2137, 2722, 2899, 2136, 2723, 2900, 2138, 298, 1824, 342, + 621, 1240}], + Line3DBox[{2146, 2311, 2848, 2145, 2310, 2847, 2144, 214, 1730, 218, + 2676}], Line3DBox[{2148, 2727, 2904, 2147, 2728, 2905, 2149, 2729, + 2906, 2150, 2425, 2427, 2426, 2466, 2510, 628, 2596, 2701}], + Line3DBox[{2159, 2314, 2851, 2158, 2313, 2850, 2157, 2312, 2849, + 2156, 2367, 2409, 2979, 2790, 2640, 2662, 2814}], + Line3DBox[{2161, 2731, 2908, 2160, 2732, 2909, 2162, 2733, 2910, + 2163, 2734, 2911, 2164, 2797, 2983, 2430, 2469, 2511, 2468, 2616, + 2641, 2683}], + Line3DBox[{2172, 2316, 2853, 2171, 2315, 2852, 2170, 2914, 2736, + 2169, 2913, 2735, 2168, 2791, 2912, 2410, 2371, 2642, 2677}], + Line3DBox[{2176, 2854, 2317, 2174, 2855, 2318, 2178, 2856, 2319, + 2180, 2857, 2320, 2182, 2858, 2321, 2184, 2799, 2859, 2322, 2458, + 2807, 3009, 2538, 2377, 2566, 2567, 2513, 2671, 2644, 2698}], + Line3DBox[{2196, 2329, 2864, 2194, 2924, 2745, 2192, 2923, 2744, + 2190, 2922, 2743, 2188, 2921, 2742, 2186, 2792, 2920, 2411, 2375, + 2645, 2810}], + Line3DBox[{2199, 2746, 2925, 2198, 2866, 2331, 2200, 2867, 2332, + 2201, 2868, 2333, 2202, 2869, 2334, 2203, 2793, 2870, 2380, 2523, + 2629, 2654, 2561, 2822}], + Line3DBox[{2209, 2340, 2874, 2208, 2339, 2873, 2207, 2338, 2872, + 2206, 2337, 2871, 2205, 2336, 3004, 2495, 2494, 2204, 2335, 2995, + 2459, 2583, 2601, 2582, 2584, 2690}], + Line3DBox[{2211, 2748, 2926, 2210, 2749, 2927, 2212, 2875, 2341, + 2213, 2876, 2342, 2214, 2794, 2877, 2384, 2524, 2525, 2383, 2569, + 2678}], Line3DBox[{2220, 2348, 2881, 2219, 2347, 2880, 2218, 2346, + 2879, 2217, 2345, 2496, 2878, 2805, 2216, 2344, 2996, 2461, 2435, + 2585, 2437, 2620, 2708}], + Line3DBox[{2222, 2752, 2928, 2221, 2753, 2929, 2223, 2754, 2930, + 2224, 2387, 2389, 2526, 2527, 2388, 2570, 2571, 2562, 2817}], + Line3DBox[{2231, 2354, 2885, 2230, 2353, 2884, 2229, 2352, 2498, + 2497, 3005, 2228, 2351, 2463, 2883, 2800, 2587, 2440, 2621, 2622, + 2588, 2700}], + Line3DBox[{2233, 2758, 2933, 2232, 2759, 2934, 2234, 2393, 2394, + 2976, 2235, 2545, 2563, 2697}], + Line3DBox[{2244, 2356, 2888, 2243, 2502, 2501, 3006, 2242, 2443, + 2499, 2442, 2988, 2500, 2241, 2474, 2590, 2631, 2709}], + Line3DBox[{2246, 2763, 2938, 2245, 2397, 2398, 2977, 2247, 2546, + 2565, 2659, 2564, 2823}], + Line3DBox[{2257, 2505, 2504, 3007, 2256, 2447, 2503, 2446, 2990, + 2806, 2255, 2476, 2591, 2632, 2633, 2607, 2684}], + Line3DBox[{2259, 2401, 2402, 2978, 2258, 2547, 2548, 2399, 2637, + 2675}], Line3DBox[{2270, 2449, 2506, 2508, 2507, 3008, 2269, 2479, + 2480, 2464, 2610, 2705}], + Line3DBox[{2282, 2551, 2552, 2465, 2612, 2613, 2611, 2706}], + Line3DBox[{2359, 2293, 2406, 2660, 2812}], + Line3DBox[{2405, 2549, 2550, 2403, 2638, 2639, 2630, 2819}], + Line3DBox[{2674, 2413, 2343, 2385, 2973, 2382, 2750, 2972, 2215, + 2433, 2751, 2986, 2460, 2543, 2602, 2657, 2586, 2691}], + Line3DBox[{2679, 2648, 2400, 2417, 2944, 2795, 2260, 2769, 2945, + 2261, 2770, 2946, 2262, 2771, 2947, 2263, 2891, 2772, 2948, 2264, + 2773, 2949, 2265, 2774, 2950, 2266, 2775, 2951, 2267, 2776, 2952, + 2268, 2802, 2991, 2448, 2478, 2517, 2477, 2623, 2649, 2685}], + Line3DBox[{2680, 500, 216, 1729, 215, 2143, 2903, 2726, 2142, 2902, + 2725, 2141, 2901, 2724, 2846, 2140, 398, 3000, 2139, 301, 1790, 303, + 575, 965}], + Line3DBox[{2681, 2665, 2646, 2975, 2391, 2415, 2392, 2236, 2886, + 2355, 2237, 2887, 2760, 2935, 2238, 2761, 2936, 2239, 2762, 2937, + 2240, 2438, 2441, 2439, 2997, 2473, 2515, 2605, 2606, 2604, 2703}], + Line3DBox[{2682, 2595, 721, 2581, 2467, 2151, 2804, 2982, 2428, 2488, + 2429, 2152, 3002, 2489, 2490, 3001, 2153, 2730, 2907, 2154, 2368, + 2369, 2968, 2155, 2533, 2557, 2656, 2556, 2821}], + Line3DBox[{2686, 2651, 2624, 2625, 2518, 2481, 2450, 2992, 2803, + 2281, 2964, 2786, 2280, 2963, 2785, 2279, 2962, 2784, 2278, 2961, + 2783, 2277, 2960, 2782, 2276, 2959, 2958, 2781, 2275, 2957, 2780, + 2274, 2956, 2779, 2273, 2955, 2778, 2272, 2954, 2777, 2271, 2796, + 2953, 2418, 2404, 2650, 2811}], + Line3DBox[{2687, 2574, 2572, 2592, 2573, 2451, 2993, 2283, 2103, + 2483, 2484, 2999, 2284, 2104, 2824, 2285, 2105, 2825, 2286, 2106, + 2826, 2287, 2107, 2827, 2713, 2892, 2108, 2828, 2288, 2109, 2829, + 2289, 2110, 2830, 2290, 2111, 2831, 2291, 2112, 2832, 2292, 2113, + 2787, 2833, 2358, 2519, 2626, 2652, 2553, 2820}], + Line3DBox[{2688, 2577, 2575, 2593, 2576, 2453, 2994, 2294, 2115, + 2485, 2486, 2295, 2116, 2834, 2296, 2117, 2835, 2297, 2118, 2836, + 2715, 2893, 2119, 2716, 2894, 2120, 2837, 2298, 2121, 2838, 2299, + 2122, 2839, 2300, 2123, 2788, 2840, 2361, 2520, 2627, 2653, 2554, + 2672, 2710}], + Line3DBox[{2692, 2589, 2658, 2603, 2544, 2462, 2987, 2757, 2436, + 2227, 2932, 2756, 2226, 2931, 2755, 2882, 2225, 2350, 2386, 2974, + 2390, 2349, 2414, 2809}], + Line3DBox[{2694, 2514, 2669, 2619, 2434, 2542, 2541, 2381, 2965, + 2747, 2412, 2664, 2816}], + Line3DBox[{2695, 2558, 2634, 2370, 2535, 2534, 2167, 2969, 2373, + 2372, 2166, 2984, 2431, 2491, 2493, 2492, 3003, 2165, 2470, 2471, + 2456, 2597, 2702}], + Line3DBox[{2696, 2559, 2670, 2560, 2663, 2379, 2971, 2323, 2378, + 2376, 2482, 2998, 2324, 2187, 2860, 2325, 2189, 2861, 2326, 2191, + 2862, 2327, 2193, 2863, 2328, 2195, 2865, 2330, 2197}], + Line3DBox[{2699, 2579, 2668, 2615, 2424, 2578, 2423, 2455, 2303, + 2127, 1855, 2487, 2304, 2128, 2841, 2305, 2129, 2842, 2719, 2896, + 2130, 2720, 2897, 2131, 2721, 2898, 2132, 2843, 2306, 2133, 2789, + 2844, 2365, 2521, 2522, 2364, 2568, 2661, 2555, 2813}], + Line3DBox[{2704, 2608, 2667, 2609, 2516, 2475, 2444, 2445, 2989, + 2801, 2254, 2943, 2768, 2253, 2942, 2767, 2252, 2941, 2766, 2251, + 2940, 2765, 2890, 2250, 2357, 2889, 2249, 2939, 2764, 2248, 2396, + 2416, 2395, 2647, 2666, 2818}], + Line3DBox[{2711, 2598, 2600, 2599, 2457, 2537, 2536, 2970, 2185, + 2539, 2540, 2374, 2635, 2636, 2628, 2815}], + Line3DBox[{2712, 2643, 2617, 2618, 2512, 2472, 2432, 2985, 2798, + 2183, 2919, 2741, 2181, 2918, 2740, 2179, 2917, 2739, 2177, 2916, + 2738, 2173, 2915, 2737, 2175}]}, + {GrayLevel[0.2], + Line3DBox[{1392, 1853, 1564, 2999, 1393, 1785, 1576, 2994, 1417, + 1842, 1978, 2010, 2011, 1954, 2089}], + Line3DBox[{1394, 1565, 2824, 1395, 392, 2486, 393, 297, 2455, 341, + 620, 1239}], + Line3DBox[{1396, 1566, 2825, 1397, 1577, 2834, 1418, 1854, 1855, + 1856, 1857, 1788, 1790, 1789, 1956, 1825, 627, 1979, 2070}], + Line3DBox[{1398, 1567, 2826, 1399, 1578, 2835, 1419, 1587, 2841, + 1429, 1858, 3000, 1859, 1860, 1861, 1862, 2982, 1793, 1958, 1959, + 1957, 1981, 2094}], + Line3DBox[{1400, 1568, 2827, 1402, 1579, 2836, 1420, 1588, 2842, + 1430, 1597, 2846, 1440, 1863, 3002, 1865, 1866, 1867, 3003, 1868, + 1798, 1962, 1963, 1961, 1983, 2100}], + Line3DBox[{1404, 1570, 2828, 1405, 2894, 1581, 1422, 2897, 1590, + 1432, 2902, 1599, 1442, 2907, 1607, 1452, 1738, 2969, 1739, 1901, + 1935, 2026, 2021, 2059}], + Line3DBox[{1406, 1571, 2829, 1407, 1582, 2837, 1423, 2898, 1591, + 1433, 2903, 1600, 1443, 1733, 2968, 1734, 1899, 1900, 2008, 2017, + 2098}], Line3DBox[{1408, 1572, 2830, 1409, 1583, 2838, 1424, 1592, + 2843, 1434, 1728, 1729, 1897, 1898, 2007, 2015, 2016, 1934, 2083}], + Line3DBox[{1410, 1573, 2831, 1411, 1584, 2839, 1425, 1722, 1723, + 2844, 1724, 1911, 1933, 2081}], + Line3DBox[{1412, 1574, 2832, 1413, 1715, 1716, 2840, 1718, 1910, + 1931, 2029, 1932, 2056}], + Line3DBox[{1414, 1709, 1710, 2833, 1712, 1908, 1909, 1717, 1949, + 2088}], Line3DBox[{1415, 1906, 1907, 1711, 1947, 1948, 1930, 2082}], + Line3DBox[{1549, 1695, 1774, 2040, 2053}], + Line3DBox[{1550, 1696, 1773, 2953, 1537, 1684, 1772, 2066}], + Line3DBox[{1551, 1697, 2954, 1538, 1685, 1769, 2944, 1527, 1676, + 1768, 2065}], + Line3DBox[{1552, 1698, 2955, 1539, 1686, 2945, 1528, 253, 2416, 278, + 2054}], Line3DBox[{1553, 1699, 2956, 1540, 1687, 2946, 1529, 1677, + 2939, 1518, 1762, 1765, 2975, 1761, 1782, 2038, 2048}], + Line3DBox[{1554, 1700, 2957, 1541, 1688, 2947, 1530, 2889, 1678, + 1519, 2886, 1668, 1509, 1759, 2974, 1760, 1758, 1781, 2063}], + Line3DBox[{1556, 1702, 2959, 1543, 1690, 2948, 1532, 1680, 2940, + 1521, 1670, 2935, 1511, 1661, 2931, 1500, 1651, 2972, 1751, 1488, + 1640, 2965, 1749, 2037, 1892, 2044, 2022, 2061}], + Line3DBox[{1557, 1703, 2960, 1544, 1691, 2949, 1533, 1681, 2941, + 1522, 1671, 2936, 1512, 1662, 2932, 1501, 1652, 2986, 1828, 1847, + 1893, 1846, 2003, 2023, 2080}], + Line3DBox[{1558, 1704, 2961, 1545, 1692, 2950, 1534, 1682, 2942, + 1523, 1672, 2937, 1513, 1663, 2987, 1829, 1803, 1849, 1894, 2004, + 2069}], Line3DBox[{1559, 1705, 2962, 1546, 1693, 2951, 1535, 1683, + 2943, 1524, 1673, 1831, 2997, 1806, 1851, 1895, 2005, 2006, 1968, + 2077}], Line3DBox[{1560, 1706, 2963, 1547, 1694, 2952, 1536, 1811, + 1810, 2989, 1813, 1924, 1970, 2092}], + Line3DBox[{1561, 1707, 2964, 1548, 1815, 1814, 2991, 1817, 1925, + 1974, 2033, 1992, 2095}], + Line3DBox[{1562, 1819, 1818, 2992, 1821, 1926, 1927, 1833, 1995, + 2051}], Line3DBox[{1708, 1835, 1836, 1784, 669, 1953, 2074}], + Line3DBox[{1775, 1928, 1929, 1834, 1997, 1998, 1896, 2073}], + Line3DBox[{1852, 1783, 1563, 2993, 1391, 1838, 1839, 1786, 1999, + 2049}], Line3DBox[{2046, 2034, 1778, 1726, 1730, 1727, 1444, 1609, + 2849, 1455, 2914, 1620, 1467, 2923, 1632, 2862, 1480, 1644, 2872, + 1492, 1654, 2879, 1503, 1874, 3005, 1875, 1876, 1877, 1808, 2988, + 1812, 1809, 1969, 1832, 1993, 2041, 1991, 2072}], + Line3DBox[{2047, 2035, 1779, 2979, 1731, 1736, 1732, 1454, 2913, + 1619, 1466, 2922, 1631, 2861, 1479, 1643, 2871, 1491, 1870, 1871, + 2878, 1872, 1873, 1804, 1807, 1805, 2883, 1966, 1830, 1989, 1990, + 1988, 2071}], + Line3DBox[{2050, 1982, 1826, 1914, 1913, 1799, 2985, 1796, 1797, + 2859, 1475, 1745, 1746, 2870, 1748, 1921, 1922, 1755, 1952, 1939, + 2062}], Line3DBox[{2052, 2036, 1744, 1628, 2971, 1476, 1844, 1845, + 1801, 2002, 2043, 1964, 2076}], + Line3DBox[{2055, 1776, 1713, 1719, 2966, 1714, 1426, 1593, 2845, + 1436, 1602, 2848, 1446, 1611, 2851, 1457, 1622, 2853, 1469, 1634, + 2864, 2865, 1482, 1646, 2874, 1494, 1656, 2881, 1505, 1665, 2885, + 1515, 1674, 2888, 1525, 1883, 3007, 1884, 1885, 1886, 3008, 1887, + 1820, 1976, 1977, 1975, 1996, 2097}], + Line3DBox[{2057, 1735, 1608, 1453, 2912, 1737, 1618, 1465, 2921, + 1630, 2860, 1478, 1869, 1642, 3004, 1490, 1802, 1653, 2996, 1502, + 1850, 1987, 2014, 2032, 1967, 2091}], + Line3DBox[{2058, 1740, 1617, 1464, 2920, 1741, 1629, 2998, 1477, + 1800, 1641, 2995, 1489, 1848, 1986, 2012, 2013, 1965, 2090}], + Line3DBox[{2060, 1780, 1750, 1757, 2973, 1752, 1499, 1660, 2882, + 1510, 1669, 2887, 1520, 1679, 2890, 1531, 1689, 2891, 1542, 2958, + 1701, 1555}], + Line3DBox[{2064, 1941, 2031, 1940, 1923, 1756, 2877, 1754, 1753, + 1487, 2869, 1639, 1474, 2858, 1627, 2919, 1462, 1792, 1791, 2983, + 1794, 1912, 1960, 2030, 1980, 2093}], + Line3DBox[{2067, 2024, 2027, 1943, 1904, 1767, 2977, 1766, 1517, + 1667, 2934, 1507, 1658, 2929, 1496, 1648, 2927, 1484, 2866, 1636, + 1471, 2855, 1624, 2916, 1459, 1613, 2909, 1448, 1604, 2905, 1438, + 1595, 2900, 1428, 1586, 2981, 1823, 1841, 1889, 1840, 2000, 2020, + 2079}], Line3DBox[{2068, 2025, 2028, 1944, 1905, 1771, 2978, 1770, + 1526, 1675, 2938, 1516, 1666, 2933, 1506, 1657, 2928, 1495, 1647, + 2926, 1483, 1635, 2925, 1470, 2854, 1623, 2915, 1458, 1612, 2908, + 1447, 1603, 2904, 1437, 1594, 2899, 1427, 1585, 2895, 1416, 1575, + 2980, 1822, 1837, 1888, 671, 2019, 2078}], + Line3DBox[{1211, 576, 304, 2427, 302, 1450, 2911, 1615, 1461, 2918, + 1626, 2857, 1473, 1638, 2868, 1486, 1650, 2876, 1498, 244, 2389, + 246, 524, 2086}], + Line3DBox[{2084, 1936, 2045, 1937, 1946, 1945, 1742, 1916, 2970, + 1915, 1463, 1616, 2984, 1795, 1451, 1606, 3001, 1864, 1441, 1598, + 2901, 1431, 1589, 2896, 1421, 1580, 2893, 1403, 1569, 2892, 1401}], + Line3DBox[{2085, 1938, 1951, 1950, 1747, 1920, 1919, 1743, 3009, + 1917, 1918, 1827, 1984, 1985, 1891, 2101}], + Line3DBox[{2087, 1942, 2039, 2018, 2009, 1903, 1902, 1764, 2976, + 1763, 1508, 1659, 2930, 1497, 2875, 1649, 1485, 2867, 1637, 1472, + 2856, 1625, 2917, 1460, 1614, 2910, 1449, 1605, 2906, 1439, 1596, + 1824, 1787, 1843, 1890, 2001, 2042, 1955, 2075}], + Line3DBox[{2096, 1994, 1971, 1973, 1972, 1816, 2990, 1882, 1881, + 1880, 1879, 3006, 1878, 1514, 2884, 1664, 1504, 2880, 1655, 1493, + 2873, 1645, 1481, 2863, 1633, 2924, 1468, 2852, 1621, 1456, 2850, + 1610, 1445, 2847, 1601, 1435, 1721, 2967, 1725, 1720, 1777, + 2099}]}, {}, {}}}, + VertexNormals->CompressedData[" +1:eJztXXl8Tdf2DzHW01bRwS+oofXK66+0SiUnojW3aEuN9fx+WjzaUtUoVSVV +QxTVokr5tSih5qlIcpIjIsQQkdGYiISYa1ZT4se963tes67z7j33nHPvSZz8 +cz573ZW11/6uYa99hr1rvPdxx77FfXx8Ysr5+Pjeve4OGN3v53m5QT72vxC0 +Lfp/pivxmU1Pk+AjuSvXbOPyMD5u41bY8dSIj+64mQ1Pg/DxGG5G4+lhfLyO +m1o8TYKPaXFzkW423EyLJ/Tjv5sEH6/jpoSPWnpRxU0vfEyOZ6HDxyR4Fhl8 +PIxnkcdHLzzNpmchozurP3Wv/13s12m8WP1a/XqyXxf7M21dYfVr9WtEvwbp +6XR+V+L3Ft1o3PTC2cnvausud/Otq/6muT6x+B9MfkZ3O59Y/A8mv9n82Wz8 +ZrOX2fjNZi+z8ZvNXmbjV4mfu/Wqy/ItumfsYtF1oZvOD8xKd5J/LLpO+dnD +ecZ0+rmrf1Hl91C/zuqQB5af0T1Wz1v0B5Ou8f89Vv9ojCOL7hm67vnKaPkm +w89r8VtY4sto3Cz5RVs+o6udv9TGiyW/iMk32s/V8lv9Wv1q6ZfRdY87veLU +6tfqV0t+dpXPkuNZOW7aVy8/seSolKOTnT1d53uM7u3+XbW7t+gmx8d0+umU +h922i5N+Nc+/bsrxSaZ2PF3LnKoXV2nMZRFt/H7npI0uJFA7gclJp3YsXRvY +5Qh77q+Hz1Zqp9H1aLVO8Y+HKsvPpvYmum6j8aaRvqlEP0z0S9R/FOQTvZL0 +xInR+beEcKKvInqN+ConZ+ffEs8QPasgnj4RRJeI3t0m3zfqINET6ZpT+8ku +/cfdEXYx+u7q126vu5Iq7GT03G8n9vh03BGZP4mu7Z989NhPvmnCDmpjfGOb +P39orG+cGEftzXTtERH29j/vyjlA7WI2rU834XrYyM3K+m9jcluUatKi+vvZ +IvTby/AnXIOi6Xrojx4hmf22CLB3OuPfT+0Y6D04YUJwi9MC7A37wy/6nrpT +7Zfpd2R/GfvOmGpTfOMELgd++bJN30tCEusX9iA7BUHekVpjbzbNPybu+it/ +SPmIdKYP5D1rly/HQVRJe/sItSOYPtWIv6A++eGcH3YYUyZy3jTfq7Ld0X+z +4O1DsvpmixxPrifkHbLrJRxh/JnUjqTrEvLbWyXs/BcZP+y4j64n/+r/mx+L +WFMAl2wR/oD4oniV7H73cATi126nZJHnB9Jfaky4ZjF94N+p95fvD/kv2ORv +keMB/nWRxe8Shby3na5zurV8zv9KmajV9H+niE44SodtehYPBJ63T3y+4kzM +D8IJ+n0d0VtWn/R58ow18AMJ8dth3VMfxvQOF5GnoX/PjMPrW8yIEUgfCf70 +RoO4Vk23rUK8SBhfK5v8GHEL0REfLxwtturojCTkFymRjZfygoQ46vj615Wr +vZwmQJ89jD+V9Xv2vwcvDfuvU8in0mHGn0J05JWcUTnC4pg4gfqTkJfAF9nm +6aZnep8SgT/s2yC2vk/aEwvleeAY0Vu3tfELvxeMIym044Q/pCcWynG9kdk9 +p2A+k77cfE/+VjmvUj6TKoX3KDbmxywB46I4k0be3nn8l1rRIvwqlslHvFD/ +0t72Y+MrdokIAP5bGD/sRXhLDevcXHyj6m+wQ9BOxg85K5vVy1s+cZXI7aKE +f2qnWRGNtsaJND9IBxk/cAWe8CvYAfi/aLPTDuRhacv9862EfNvAjqMI++xi +/IiLeEbfpyCfxikB/3o2Pzjg4P9kT0mwjSNJzsOQeyMgqPPaWpnyfJXEcIY/ +IA7rLUmedLTJMTn/ox54mPwW9QPsuHTtL4OW3vUT2BF5I93Gf0AQmfwBCxsN +/K3C7wHw/xymz4aC+VsaUycv9uOKM+Q8nw272u0joi5KR7xsbRFxo3e4gPkC +dp21ft/7J2qWjYJ9F9L11tvd3l295JJ4ldrh9nEKqLPIv4JOz3xhZ8CMdQLP +t4ijdiVzH7sYPUWeH6ieksYmvNSk/Pex4mpml6WTegw4XmKcALtPLnl06vl/ +fQY7yfadnBFTp3rz8lH3rWfu/qEuQb+37PUq/BBx5TDfYV5aSPJ5PZzhpO7l +crK6t1u5ZFOWoFRHhVH7Ml1Dig0+PrvmZOE0tYHPWps+eSLmG9i93aKkRx7t +nScuZnIkG76XxR+pXVwo6LfoH34Leh+qn1FPjC5AzxGrkJxziKOZZVZ8GHpB +WE78NB7Jvj7IEa6wPLbg46ufHylxQ45H8Pd4NqRVp3K54pWA/6znT0TPeHxE +i+rlcoU7LP+3H3xPflnZL64U0OeyCLxL28ch1aC6fTrRp0E+2Zn4go4TffMr +49tMKJcuIk+iDvp7icmjzmWdFlEnxPUYWDqprW8U/Abjxby6fvfKtlMqXBa5 +/656VIr/IMQnkNObkl1AR155avRLVZL2VJXjl/sX/G4/oyO+kG/WLvhsQdzg +koGIa/RzkPSE3nzeQJ5HnPzC1osyf5PWRzJrzMX8I8dlSMg3H7WoWCowmo3r +S7IL+gWu52365IjAHXn602Nlh/gdLxa4l8k/QOu+aAUcUP+gPn6N+BFniOM/ +7P4sIr4Rb/Y48w28RO18Jn8uk9Ot1zf9OjxVIQp5+Dpdv62a3LvRXX9ewPh5 +XomNFtaPfyNXPEvtFdDnyBCbfrDrPvb/qEd4Xcfn9zx7npHzLeSIFD+cvznl +BaV8yPKLTEc7ouB4pWWUNzDeIZVfL9mt6vYAvl5YX2PUhVfLpQvIj8iXuQl+ +TZflHxIw/x2Ff7f0m/p2yWwhg9pYp8wl/VGv59K1izBoacOS2eKignmE1y1B +vG6BHqsYPYLhUGX8y636jd/jcF+lcuao4Wf+d4twEnozOcsQB/AfG16xAl+/ +gJ/quiDUD982Gfd/v5YJk8dL65UgwadCaIn140W+rg+52coWt2RHCfrT/CO9 +2rP2Zz3P5srxgv5SbeujLXJ9nkfXmA/H/yO5wkURcYE4Okd2x/yF331t9okV +eVwhzpHfYM+DoZ1zV844JNsZuGSQfOADv25n8/dzclzDXxtQv9xvub0K+vue +cOQv/B/lDQH2x3xVq/KAj9vuviPOofbDNM8sezrlb0HlromTgcMj399ql/pI +FNa9qOdhz1k2nLOFY6zfBuTX6Pc0GwfiRinPoA2cYtl4y9L9FrS3sv+DXMTN +2Nm9gj8JzZLj6QKjL6V262+fL71ok08U6k7Uo1ivvxgYcmh0n0sC8m0Zwi2P +8tM0hfwH/ZEPKhA+sPeiGs9H9Mk8I9sb9GdX/Xxkqu9xed10gMn1oTqC6pKg +p2n+4PESebJAfzId+dSeX30DgadfG/t9Pdx/4PY7RPRoRkfdBLvb/d43iuJK +Qv2D+y24jwt9cJ8LesGfH+sVODH0bh17hcnh8wuvwzkdbfwO+u8t7403TZxJ +v/uSXfvsvF4zalOWeJvoPzP5lCck5AfgiPu4uH97CnoQHmuYHD6voQ5AfYq8 +9BP5GXAOZ3K4fZXq2LNP3Lufe1XEeiqVyeH3kUDn+FO9jvzi4FdsfHIdWtX2 +fykC8hnmqwRb3ZoicH/jeQ/1x2YbHiki6hDuj+SnQdeYn4Uzfvt67px8v2Uq +XRtTnD5E/vAojRd1H+YB5PVDE6dmlHpys4A6lterm1kb9dJ+Nr49z7xd7l7d +gXHzeR44nqe4Rh2M8a6k65874udNXvSH/BwBcYn7usDj8XqBz00JvS7X96jT +GiXY613uV9CD2x3+VoPl/4mEP+5jIT+z9Z4sB/VfJ7scgc8TiAvk96cV/FBp +/QV+pThy1Z/t9WfFwMUsTsHH814YkwP+zJP31x98NN9IqFdgjwzm1/y5FuwI +v5oU/OrOwLL5ctxhPq878ND1nYvz5edW8OsaodN7PRNWLhB1Dubt2XnjLqe0 +vSxgXaTgF0EDyL6/UZvf5+fPEao1vre+3eBQJ/easz5gWGiWAL+GPyf0b/VS +s7+Fibweezh9W5m15WeKXH7/Fm9OulCzSSBfF9Q8WiuuZnbdQMQ1f45D9xuC +cJ+Br2M47rjPtJLRq9N8PYLRGxP/e5RnetBVqFhj5sx3IsUgxt+C2l2IrxHJ +LZb4VaVRHa+Jfej3rrjuKdNt/tQ7YnPiH2HjCxN5fT6P+edNBb9SWm+xtmne +T1CiO3lObRq6hVvhwseyiznpLuLp6fd8TIOPE7rDOJyMy2u4WnRj6Rr/X/e4 +czHeTYdjEaW7Oh+561dO/cdkeGiNL46nkhxP+b9T+3oLR7V+9aDxa7RjkefX +GKe629Hqt2j0a5AcpXnQY3Fk9Wv1q6Vfk8SRJce9/OiqffXyE0uOSjk62Vk3 +uln00DsveXscrvqPt+gmx8d0+mnMw5r9wWg89cpjbsp3GR+1+VmtHKPzjNFy +lOhKz4UtukXXQlfiM5ueBo1XclduIR2X2+P1Fg4ax6X7ePXCwaBxeR0HtfiY +BAev4+Mi3Wz4eB036MF/NwkOns4/DjiopRcWHPQar4fxMe24DMKh0I3Lolv0 +Qkw3S51iOroSn9n0NHq8hQUH1jaqfvC2/l4fl0Y9zVL3entcXsfBRbrZcPA6 +PtCD/24SHDwdR3rX/14fr9pxeRgHr+tv0HhNq79Ft+heoHt8fuvzeI8B9ZKW +4ztuie+Px+PXaH2U+q3t16v0mJfXCYke1lNJfrmI3At+jX7FPskS339Nqz5K +ctTS1fabETOtauNXUhT3gzWq30865D2c2UXel1Pi+064Kl+pv/4jK31f5fWl +2D9EyV6G1Uv2/YrPhHN60u2YM1OGzeP7Sro7z3qs3sN+p/sXzG0YduUHef8S +tfpDTuL1rv5RVxYJu3Uer15ytjI56TrL38bkpDiRz95rkvcbUeKv27jUG9kz +lot8f+DF73Zt+exbEdg3W96P6MDRd1vMaLrIYd8/JlemI65KJU/sl5mRKO/z +mcj0Qd6GHm3XPzN727I9fP9nT80v3E8Mk6+2X734DZKjdT7SvD7SS45a+Wr7 +VSunsMhXkOtpP3Sa5w0ar1b8PZ6vPGwXr8eXm/0aXk9ZdE1+63Y+t+imonts +naIXHfsez4rv2T9yyF55P36TxIVReJo1D3hsXGYZv7f9Xy0d69E1X3wqfhB8 +VtT7+xTIG3P5U6GLX57iPvRoy+e22c/HkM9PUeLPtMnNcJA7d1/HM137RCme +d6Z2PHz/WDftXmjjEfuS/hR8PHjX8FMi9vvGPt8zhn/12JzwP+VzTiYMaLr1 +B6m0w/kszvqx33+70kTv8WL/zgulv+nx9/a5Qo5G+di3dvH9+VyeZ/m5D3z/ +bWf3dZXi2l19XJUff+fDV3NGnML5CBLfD1alfAecne1772p86cXvIt3peG3+ +HfKUv1a7gI7zLQ8V1EuzP6iV4+Z8ZBj+HppPNecljXK0xrXh8wue32Df6Na1 +L625O3/w5yvO+nXMP0QfaJv/z4nJbo4H56L5fVg7tpZfioD76mP2Dq1aevw6 +xXmIn/eBPH3uZED8+8EH5DoqeN67qSPfyBX5uagd59+jpzucs+nEXtIJ/7Ud +Ktcv7m+QP7js/0p4asw/WuPaQd61E5l9r99eJ/BzDE9vuv+5h5A/a/oj/zoT +uVi2I/ZDt++T/+9zZ55VOF9AaR97tePC+YMbFhQ8f7B7cMx7rRf95vCciD8v +Rdw1y1zgm9A0yeF5cbHEoQfnvhgn8OfjPJ6AG/gSDorNsn7cLe8rD/2/tMV3 +Wfk82REK50DtYeMFzsOjts8JS4zFuRt4/oQ4lfnTmD6g47ySYQr73u+9GZX5 +Xt/PHM4ZhL0Gnih4Lp5SHeJsHufzMu5L/M7uSyjV1Ur1M/Mnuf5UqhvHzl12 +6vON5xxwUDpvcT3J2XRx7cXqZS6KOG+rQP1yoZFsX/STx9aPSus+6NuVnctW +4cr913GvTG1XbeSE0hFKcc7jTukcPZxXM6DqhTnvdMyTz10cpnD+Dv6fn48D +e3McwM/PkYT9vmfnlSjFu/28CsfzMkJscSGfByNBLuIq+XbB8yaKPbav89d9 +Fji894L5rl3Wa18+tGaPfE7uqmFZ+etmpyiem6m1bimq9AcNH9ZWO48XOnxc +HK/bOJgNH43j1R2HBwQfj+FmNJ4exsfruBUWusntVVjoXrejSXDwOj7Qg/9e +VHFQGq9auoVD0cbNW/iYBM8ig4/ReJpNf7Ph5ql8ZhZ6YcdBSX9vjUutPkWM +bjb/MBs+ZsOz0I1XbT43mq6kj7f0VNuvE/0Ny7d6yfGWfGf94rnzDoPk4/nw +dnXj1SsPuF1Xqx2/0fLd7df2HLBZCn9PRLM+eO7454ihi0cOmyfy549GjRf9 +dolcVbfu9uUBCu8fui0fz/27/dSr2awfFgq7XZTD39MAnZ77StFEF1ofvpTq +s13YR3Rn79WopWP/hYtbR2f/+vIWgT3vlcrXrzNk/eD9eO4qj/erFRuXDnor +kr9frXn9YrQ/KNE15mGv9+smv+b5XS9+o/s1Wh8P4WO0P+g2jzvh0x0ftXZx +ke42nnrh7ESO6eNUZ30MnwfMTleLs0V3j/7RtS4rmqWVjEJ9pnfdaK+zKzq8 +Bzid9HiN3h8sJbgXj27SPeW3posrvekmyQ9a9Sm09bxGuqvzl8v97GP0WDfl +4D3ZWlP8e24rflDg71HvdlF/pf7W0Pen+G41yzv46153KdHxnvU023ctG4Ro +jfJ2DjvoV6l5gtvfeyrR8+h66Ys+X48bckGc6yZud9KnHU8bccBh3y0X/UT3 +ug50/t2ou3K0xqlaPNHGe+hpTvjx3W6nqN2/NruaK2r9btdV/J3R6fsPXo9o +rv/1klP/ku27OIF/h6LWH9y1r055TLM/6213rePjdpCc/P+sLk+83T34O3zn +JX9vqDMOZq1XnfqhEv/SUbUjhrc5p/g9C+qLLa7hY/Q6wmU68n1nnwqf1PW7 +LLDvFoNCsz6auzFgmzyffnC+YedJ4480UVqXIf8iH+O+dZv59u9W7/vdk0/D +jVzP3ADbd6kO30Oh3nK2P4DavG3X41YTL9nL5fpfSX8luc5wwPM+4IrnC1Of +n/3cFxVjRP48ZRm1z9N165Fiq47OSJK/90x0oufYSq+XvPfdGv9O2Rk+kfO/ +LZGT/A/5O+VoyLV/dyscJjr/XhX+16jY4OOza04W8L3oasbH950obV/3S5H0 +PR/dF5D3L70RvSjkhfc3yPuXHkD/cR3i13ROEjdTG+uFvfbvegXwT2q3aNCg +5y6IbJ8OWZ+D1A/k0HpAmm3/zlLAuoDvBwt8cP+E4/g98afur/pR/tCTYhm6 +vwH8wk7Z5aMObz9naNysKhX9eX1o/17xccXvKLOpvYmuD1E/XZ9sl/XSuOvi +d4yffxcJOq/r+HorqWD/LtdRaPPvNIOd1Dnon3/PzJ8bgk7rBCnfiX+iLu1G +dekxag9WmHfUzptGz7/emvfNVm94uJ5RW+eorX/MpqfW9YWz+dTtdYRe8vXq +11vjVduvXvIt+gNB1y3Pu3ruiYt00+YNJf2NtoteeIrHot448+tWgdYLEp3H +8O91SvK5xDpjNjmsU1wdb9i8WP/9abMczsHhzwuwrk9t+dafb67bLPD7/Er3 +YVDXBs4Pmzx7daRc76+m+/zYBwj1/A6mJ+rF7+i+Dd8nCv338k9d8T//THHY +b7O7bZ+PHHkflDcl+344Svbj62uD/dGim5TO2jyO9I53b9HNhruFT+Eal+56 +Ks1TRstX269aOU7oeucrXncZJt9s/arVxyh7FJL49Xq8m3y8Hlu/6JVPjJZv +0S26Gnp9G3WXvD8x43N1vja6ntcXh798v6ZVb73zpIv4aOU3rL7S2Y6a/Udn +/T0+v6kdl0F0Wb//B8wWtOg= + "]], {}}, + Axes->True, + AxesLabel->{None, None, None}, + AxesOrigin->{Automatic, Automatic, Automatic}, + BoxRatios->{1, 1, 0.4}, + DisplayFunction->Identity, + FaceGrids->None, + FaceGridsStyle->Automatic, + Method->{"DefaultBoundaryStyle" -> Directive[ + GrayLevel[0.3]], + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "RotationControl" -> "Globe"}, + PlotRange->{{0, 1}, {0, 1}, {0., 0.994109506744684}}, + PlotRangePadding->{ + Scaled[0.02], + Scaled[0.02], + Scaled[0.02]}, + Ticks->{Automatic, Automatic, Automatic}], ",", + Graphics3DBox[{GraphicsComplex3DBox[CompressedData[" +1:eJx13Xu8lWP+8PEtakZMOfR4MMhhO4RJFCM/LCm0MD0zGpRmcvwxjF2mzIiR +328KO0YOyyGNxllCxqBnJ6WDQ4OiUm1pl1Jqp5IaEzP42U/L831fa15Xr+2f ++7U+3fte1/rc130dvtf3uu130cCz/rNFVVXVoS2rqrbdcnykzzMTRxw++ETH +G5b+5MWmps8KV3Q8cfSBxRcK+Gmj/3VYQ92nhfFrPmiqLr6a+E5nP/F4Xc26 +QvXL7TpPrJmV+OKdfrZ3qfqTwrtvHPxidfG9xB+b/c29NQ2rC7d2fGN2TUN9 +4leOGNemWPq4cOqoi1bX1TQkfkyPn9dWF1cUtqkq/7c88W+byv8tK5w/4d3b +yv+O33XNuZvKf//Kr/68R/l6+AGf/WVF+ft+uPeVY8vfj9dd2mpBuXzXzjuu +c7m8eGnK5FvLv+f9m7afXv59+MRnrqg5cMvvP/q4RWeWfeCTju788EFbfN21 +YewHZX/4uF8/8PCIw4cnv7zy6bPjnP7PH9hrxrrkGT+3+vL2M2Z9kjzjyz7Z +d48u9Y3JM37Zc4t2eXL5quQZ/+zqO3fcc93K5Bm/5rierUZu/ih5xnPPeJs/ +Dvx8VbslyTO+z27LVs/qsCh5xjs+0mvx8ycuSJ7xEw+f+s6o3nOTZ/zPA/oN ++3rum8kz/sqNx13+t6+mJ8/4m+GfZ/52jvrpPJxPnx0f/PzwP83qsCZ5xj9+ +dWO7+trVyTN+WGnCHctXfZw844MuHNJ6XfeKZ3xSp+Nv2vxIxTPelHnGb3uw +dnO7KRXP+B4ntF3XYcgHyTP+ZMN9y0/sUp88412u26e+98b3kmd8+JFnjprX +Z07ynDyEf57xqVH/eebJ884zrn76e5xPnx3XPjB9pyFdVyXPuHrLM775Jxd8 +f8qYFckz/tVBnbbr36viGc89461feOjL7hcvTZ7xdpcUPquduTh5xttHPecZ +P/TNGz5sO3Jh8ozzzzN+UtR/nvHR0f7wzMfj0X7yjHveecbVT9fF+fTZ8cVz +r7yl98YVyTM+JNoHnvHj964ePvOr5ckznnvGa9+Y+K9BrT9MnvGdoj3hGb// +pwd/2qf94uQZ3zf884yPi/rPM94p2h+e8Zej/efZ766J/ohnnDeecc87z7j6 +6ftwPn12VG95xofuunuLI56seMZzz3jLD+Z8/cjzFc+4es4zzj/P+G5R/3nG +fxjtD8/4fnFfeMYPjv6XZ79P/84zrj/iGX8p2k+ecd54xtVP5cD59Nlx6vY7 +/mFU74pnvCo+84wPX9/4P3P7LEue8Vbhn2d8RNR/nvEd477wjN8e7T/P+M5x +v3jG743xD89+h3rCM65/5zk/n+ec85xznvGqzGPOt8mOueec85xznnPOc855 +zjnPebl4zjnPylsK/zzjxks84/p3nnHPKc+4+sMz7nnnGR8W9VN58dyz47So +/zzjN8TzwjN+QjxfPOPfxPPIM/5yPL8849fG884zfmy0Dzyn/jnakzQuDG78 +yTNuvMQzrn/nGW8b94tn3H3hGfe884znnnE+fXb8OrzxjPPDM/5F9C8841dH +f8Qzvin6L57xAdHf8ez7X4r+kWfceJ5nfGz0vzzjxks84/r31K8E1x/xjKv/ +POO5Z1z99DtxPn12/L8x/uEZ/3t44zl5iPEVz2neE+MxnvEnYvzGs++5J8Z7 +POPmRzzjxpM848afPOPGSzzj+nee8R2invOct6PpuQ3ueU/1Nbj6mbwH59Nn +x/Ux/ucZb4z5As/4iphf8IwvifkIz673UsxfeMbHxHyHZ/zGmB/xjB8d/nnG +jT95TvUl2h+ecf07r3m/xDOu/eQZ97zzjKufvOB8+pziHDH/5Rk/L+bLPOO7 +xvyaZ383PebjPONTYv7OM84/z7j5Ec+48TzPuPEnz7jxEq95P89zql/RPvCM +q7c8p/hEPO884+pnqjfB+fTZcX7Ef3jGixEvSnGu+PeqqunfxZd4xsVDeMan +RP3nGb8/2h+ecfMjnnHjeZ7xe2L809y4iWdc/84zrj/iGdd+8ox73nnG1U8e +cT59dhT/XDWp1eyDio+m48QHjt9xxqyKf/yiyY8NrGnYULj4nsLd5SPeY/8f +PvjlI8+n6+JLiq+37PBv1/V3PeN818fnxvk+O06K8vjsey6J8ri+6+XlxGdn +5XGd5cF99neuv3juqCM7FEvp+O3vJzSOXb6hcF23wXV1NZ8lvttJL9141+ZH +0mf/vm9wnx2b4jopjhx/d9XsIXf9+3n+/fPfrJ77o38rR3ouBv1/7rO/+01c +x/muMzC48/17i7iO81zH9X32d66/43UDd9ym6q+VuOil181salpX6NVlh8Fb +ntl0vZw7f/NRX19QXVxbuO+ZD8+vqnqzUs6nd5rb1PRJ4s6f3fT7r3uW1hQG +7tz3oKqquen8ad+VqzFx54vD7/rOq3tVVS1I57ftfMLKpqZViTv/96OHdipV +rypsOWnXqqpF6fwLrpm/vqlpZeLOP+vSb9+uq1lZ6Nfjvu2rqpak8/86+fIv +mpo+SvNF3PjN+a7TofN//WdD3UdbzV+d/97SLl+Xr5fWMb4rx5LEnf+X0dsc +XSwtKTz+3fevTOef/J2XRYk7/5edt72iVP1B4XejH9xU9uH8FaNv6lr2gjt/ +h3e2e6ihbmGh53c+GtP5N+7/wpll77jzJ0W7uufZ319Tvp/OL57zyrTyfcWd +P7dqp12W1L1TWH9U+f5U+ttbL9ttdbne4Cne3mXX6wc0zCxM3WnQh01NlXbr +/k0f7t5iS73EU3wrrqPe6jcGRH1TP3H1TT3EDz278aBSdaW+4SOePuushrpK +vcJXN70ytLr4cao/eI+zOzxV07Ai1Qf8safvWVBXU6kPedzCfcenPF1/Tql6 +abq/+JCzn322urg43ccUJ6+6cbuJNe+n+4VvfPq8fsXSgnRf0rrB2Ue+0FA3 +L/nH58X94hl3f3nWD0+N55Rn3HPKM84nz7i4Jc+455Fn/MfR//Kc5m37P929 +VP3RVnGg/LnD3578zJCGuopn/O4YD/CMe754xo0reMb55xk3PuEZ99zxbFyj +feMZvy7aN55x9ZNn/Gfhk+cUP5h94u7F0orkGdeO8YzfO3raCzUNW8fVcs9p +njH7v/9UXfwwecafi/aNZ/zmS4fNqWlYnDzj/cM/z2l8HfWfZ3zHaN94xldG +e8hziktFv8AzzhvPuOedZ1z95Bnnk+cUP4h6yzPeZueF+xVLW8cpc8/4qqVn +T6lpqHjG1XOecf55xo2HeU7z72h/eMbdF57x7tFP8Wzc/Vz0pzzjh4QfntO6 +erSfPKf4SnjjGb8n6ifP+A/CJ8/4zSPW3lldrHjO4+c8459vOPTDupplyTO+ +OvzzjC+K+s8zPivuC88pPhftP8/JW9wvnvFHY/zAcx4n5zmPe/Occ55zznPO +ec7j0jzn3N/lnOec85xznnPOc855zjnPOec5j5/zbF74UPjnOa2Hx/3iGZ8c +95dn/K2oDzynOErUH57xj6O+8YxvivqZr7PlnvHaqP88p/h/PC8849p/nvG9 +4nnkGTf+4RnXHvKMPx/tA8/m2YVoT3jGz4v2h2f8d9Fe8Zzm69G+8Yw/G/eL +Z/zNuC8849pbnnGfecb55DnFd8Mbzzg/POP6F57xU6I/4hnvHf0Xz7h5EM/i +Fsuif+QZ/370pzzjR0b/yzPeL+4Lz/iN0b/zjPPPM14f9Z9XPPeMq58843zy +jE+N8Q/POG8842tifMUzfn2Mx3hO6wIxfuNZHOi/Y7zHMy6/i2f80xhP8pzy +OGL8yTPOP8+49T6ecfWcVzxvN3DPO8+4+skzbjzPMy5uxjN+S8wXeMblk/CM +T4/5CM/iaifF/IVn/O2Y7/CMPx3zI57xDeGfZ/yoqP8849ofnnHtP8947hl/ +NNpPnnHjT55TnDzqJ884nzzjh8X8l2f8nZgv84yL5/AsTvmHmI/znPKGYl7P +M84/z/jEqP8849tH+8Mzrp7zjGtPeMbzdgPXPvCMq7c84553nnH1k2ecT57x +LyJuxjO+b8TZeBavK0U8hGf85vDPM94j6j/P+LBof3jGP4r2n2f8pOh/ecaN +f3jFc8+4eBrPaf08+iOecfNfnnHxB55THD7qJ8/4PplPx+07/nzZ2u7rk8/z +/tit6aWaZwp3dxv5aO3MSjzzgf0fXzWwYWxhl9KgH7Q84pPkc0nEofdb3u7+ +McMak8/jHn3vksk1DxSmH3b1yb1mVOKQL0ecdmOsy/D5228nffOj4rBCHm/s +30z8sEWUP48T9ojyD+049KmZXy1KPodH+a+cOuiXQ7pW4n6vR/mvL674af9e +85LP1lH+vg+N+t6mQW9X5n1R/q8e6b9+5OYZyeMNtw+aVKqekeLAfKY4cZs2 +J4xvW4kDHz/htL5L6l4pXNW49NheMyrxt6VNQ2ZPrJlcaDX1ip+37l+J9w49 +4+nC3dWTCofH+iCf+4xqeGFAQ11hxcWT187tU/E5dcWOB51emrBVPHZsM/G3 +IVH+PP7WM8pv3Z/PTlH+ezdterX3xvrkc16U/4WRxywaNmp+8vmbKP/G6s2H +r243N/ncJcovf1g7MCHKP+aW6R3urq543nz+s+uri28XTrnmriuqi2uS35kt +Tx1bqn6r0K3h9vfn9mlMnlN86PjiJaN6r06eL/3ZNXuU22X5qzwf82Xb+Q11 +bxTu/+c/lgxqXfHc6s/jbiuWXi8sPGv1m7UzK/G3+pO7nTqx5rWt4pz7ZHlY +PG+M8ufxt+lR/hcHzeu0rnsl/nZnlH9q9W8OOeLJRcnzBVH+T+bdev6Tyxcm +z52i/PINeK6K8nf7jz67Xz5+TvI8L8rfb8hl29695ft5nrj7P+4ojwPunXzw +1dXF1cnzQ7+efmWpel5h93FtB21+pBJ/q516W7FYmpvyV3l2nHPtbu+saleJ +c/7lzdNbDWh4t7Dt+Ucf2vKISpzzhgErpzVs6Rf/1m3nJ0/sUvHcq9311xZL +s7eKc85qJv42Icqfx9/GRPnn3PP7q4f+qhJ/uzHK33juxpGt+1fib1dG+eXD +8Dwuyn/tnNP+a8ashcnzkCj/34cfeu667vOT52KUf2Tn2gHl7+F58B/ueqq6 +WJ/iljz3W/DLm8v9vfxVnrsffOjFpeqFhVsb20/uMGRl8nvYdV8UyuOzCZEP +w7PjgDd+e82o3pU459ft7/hXXc38lJ/A88pB/eprGraOc9Y2E3+7Ksqfx9/6 +RPnX1h34UtuRlfjbSVF++UI8HxLlP+e8zgM2DlqcPO9knhr1n+d/Rvl7rD1k +/0efr0+el0f518d4lecj1nZ8rTzvkr/K8/8+4euHyuPUmVHfeG6642/XN9R9 +UGg8/o+rB7WuxDkbV9zdtzzeGn30q6fMmFWJv805+oJjiqVFhcWH1b3eYUgl +zun4TPvLLh7ftuL5oYZ/fla3Zdycxzm7NxN/OzzKn8ff2kX55bPx/E2U/9ip +G/rMmLU0ef44yj8y8lh4nh3l3+a6P80bM6wheZ4Q5b8v2n+ex0T5z9y/Y8/y +3/G87qzZS8rlE1fkef4T908q148/tyl1u3jo8uR58j8vua/8fJ5S+mLnKWOW +J8+PnXHk4HL7KO+X5z8++D//p9w/nRrn8zt401uHl8cBD8b1eXbM45yOuec1 +Uf48/jY3yr/v19cWutQvS55fivJfuKlm6phhy5Lnh6P8r65ouL5ry2XJ84go +/ylzXruudf8Pk+erovyN8bzw3CfK/0yMc3ieb90sOM+nfe+By8v9/SdxneS5 +0zaLyv3TqfG9PHc677JTy+3p61FOnh8f/s6E8vN/Ufwunnd/tvMB5fq6X3jg +97b60XeV/eZxzv7NxN8c8/jbqVF+95Hnl6P86gnPHaP86gnPj0b5e8T5PO8W +5R8T109x+yj/TVEeno8sbTui3C6r5zw/EeX1XPC8x6o5lzTUrUzPEc+3tzlm +fnke5bnjucWxY7qVqlcWusZzyvPvLmzx1/L8Vp4wz2tv/dU+5XhNHueckuWv +8tspyp/H3xy1SzzvHuXXjvF8W5T//mj3eK6K8msneb46yv9GtKs8r4nyHx3t +MM93nPpeu2JpdYrz8LztVccOL48/tPM8XyNeGP0Cz+tf3e6C8jxfP8LzBeuv +eLeuZlXKE+Z5wf+ad3x5Hut54bln4cfP1DRsHefcs5n42+1R/jz+1iLKbx8Z +z476ZZ7XRvn14zz3j/LfEv0+z+9F+Y0T0vpIlP/jGFfw/OlXDz9S07AmjUN4 +vrD6ezsVt8zPP49xC88Lf1JzQ3mcbZzD8+lRXuMinqc+3LVfQ11jGkfxfNTb +D71VV9NYeDfGXTyP/bzlseX4Sx7nHNJM/G19lD+Pv10Q5Tdu5HdBlN84k+e0 +vhrjUp6nRPmNY3nuFOU37uX58Si/cTLPZzw3sGOpel0aV/M8bdHCMTUNawsn +xzic584tjt+hWFqb8lR5HnfYo9eW55PG+TzvFeU1L+D5zhsGnNNQ90maR/C8 +3bgFr9fVbB3nrG8m/nZ6lD+Pv02N8psH8XxUlH9UzJv4HRvlN8/i2fGdmJfx +fHuU/6SYx/HcIsrfI+Z9PD918YmT62o+LTwQ80Se9x75eIdSdSVPNcWF6lrf +X9OwvrAp5qE8t1p+VatiaX2at/J83fbvb7mv69M8l+cNUd5R0f7zfNEvHvtZ +Q93Wcc4uEdfKPY+L8ufxt72i/Ob1aT4Y5RcH4Hm7KH/LiBvwOyTKPzDiDDyn +/KOIS/B8QZT/HxHH4LnV7j/o2VD3WWFNp2eXndf+heRZPt03EQ/hecMVH1SX +qj9L8ROeL4q8xKERb0nx5Fee2KZY2pDiMzyf0bjDVdXFDYXrI57D87Qobx7n +vLOZ+Nt2Uf48/jYkyq/95PnTKL/4Fc8XRvn3jXgXzwuj/DtHfIzf06P8d0U8 +jc/XI961sm/rx9tN+TT5Pyj40vCM7xt/N/eO/i2fWv5Kus50+UrBne/4/Yjv +pc/hYVX2veKE7+z38ZTyZ9dP+1mDyz/z7+KKzkv5O3G+PCpcfFLeDy6emfJX +greJ+Ke8irT+HPHStB8vuPyKfL063xePPxjxW+uCuPVW61i49UHrLrj1LOsE +uPUXcW3cegGfnifxQz7x9uGZT1xeH5+4PDQ+0/MacXs+cXk+fOLaJT7xpsxn +yjeM55HPFFeOdQo+cesafOLWAfnE34p1Ez7xg2KdRT3GazPP2ifeeMat7/CM +y5PkGZfXxzMunsMzbt2KZ1w/y3OKQ2Se03wu+heecetuPOPW6XjGjbd5xp+K +dUCecetWPKd8pajnPKd5fLZ/CrdeyTPOJ8+4PEmecfWWZ9w6LM9pfT7GjTzj +uWfceIln3Doyz7j1OJ5TvmesU6d1xOD884xbB+QZt27Fs/5TvjfPuPV3nnH1 +k2fceh/PKU8k8gR4xrUPPOPy0HjGc8+48T/PuP6dZ1weBc84/2m/U3D1n2dc ++5P2nwS3Dsiz8Qg/6f0yweWT8Ix73nnG1U+ecT55TnkiUW95xuX18YznnnF5 +Uzzj6jnPOP884+o/zyluEe1PWs8O7r7wjFtX5dn4jgc8j9fx73zjOtz5+Xtb +nK+9zd/nkr9/JOXjhP/8vSTK4z46Xxwgf7+G891f54vP5O+JcL77nscz8fx8 +v8P5Oc/PV0+c//eIL+H5+eqP81dl9cr5jikvyrpZPO95PpNjyuOJ8+UH4s4z +rlMPnf9y9I94fn7Kn4jz1fM8T8JRvXX+wzFuzNf7HdVb8w/r1OonLn9VPcSt +w6pvuHVD9QqXZ6v+4O6LeoK7v/n6ZF4f8jit+4urt+4jrv67X7i4jfuSPMTz +yD+uHeAZ97zzbD5nnwLPuH1DPKf5X7RXPOP2QaT3+ASXh8wz7r7wjPPPM557 +xvnkOeXxhTeecX5Sflhw/QvPKT8i+qOUrxNcv8ZzyoeNfo1n82P7p3jGP45+ +k2fcPh2ecfeLZ9w+CJ5x/nnG1X+e8dwzrn6mfNngfPKMy5PkGect5b0Fl4fG +M26cxjMuz4dn8YZJ2fuO8JtiHMgzbt8Nz7h9Ojzj9i/wjNsHwTOunvOM555x +zzvPuPrJMy7vlGdcniTPuLw+nnF5aDzj4gw8i9/Yr8czfnrMa3hO+8lifsQz +vin885zy4KL+85zyPaP94TnlNUf7z3Oev88zLv+EZ1xeNM+4PF6ecT55xuVJ +8pzitzGP5hkX5+FZPOxHMU/nGb8t5uk84/bl8YxPjueCZ9y+J55x9ZxnXHvC +a74fgmdc+8Azrt7yjMuTTO/LCK5+8ozzyTMuT5JnXPyN57SemfnET4v6nPYx +Brf/jk/cfjE+cfub0nu4ghvP8JfvI+ETt9+BT/zC6HdSnnpw81k+cfEEPnHx +HD5TPDW8pXzK4OKfQyMfLuWdhX/5Z7g8NPlSuPWgQZEfg6+K565j5HPg8lKs +66d9vVE/rUPj1qOtm6b1vWh/rPPh1vusS+G/iPUp6yi4vDtxf7wx4tLy7cTZ +5N3JD8Otl8lnwsXb5d+kPL5Yvxsb4w/cOvt2sZ6KnxLrwtYvcflX1ttSOWPd +zfoQ7v2Z1jPwb2NdQ36beJf1QflYaX9krM/KH8Ktjw+J/j7t14n1u/pYp0z7 +HmK9tUusq+Hy+kqxDoRbz7LugveL9Rf5YeJI1pflM+HymqzvDszy36xH4tYl +rZ/h1tGs9+DybOVLibfIN7CumdaTw491ONx6nHUj3PqR9TlxBvmr1pNwecL9 +m4kzjG0mPrBPFgfAZzUz36/N5vXO797M/L1/M/PuKdn8Gs/zEhyHZPNlx/pm +5sVdsvmv61tvM/81n83X29L8PdrPfD67KdrPfD4rXzOfz8ovzOez8uHy+ax8 +l3x+Kj8jn5/KJ8jnp9a/8/mp9dp8fmp9MZ+fzoh20nzKurw8VFw+qrxJXP6k +PD9cvp/8ElyeiXwIXF6E9XvcOr71Zty687XRHuLa7eHRHqb5TuR7FKI9TPOa +yLeRj4jLS5SfgcvTkE+Ayyuw/o1bB7dei0+LdduDo90z/pcXtDLavZTfFHlZ +8hVSPk7kLVhfx+XnWw/G7YOYFe1bGrdHPpj1eNy6vPVj3Dqy9WPjvVKsI1s/ +1i9bR7YenMYPsS5snIPbR2O9OY33on83PscfjPOtH+PWkddG3qTry6PrE/sx +9Kf3RPnlg6b+N/Lx5C/ia6L+j4n9G/o1+1Dso8Dtp5BXmtanIg9wSuQRJh75 +kHtG3lvaFx73a3HsD9F/ub9LYp9Dyh+J+mBfAa7+yGfF5SvKv8RfizxM+YK4 +vEH5bbj6/OPYr6IfnBH1374R3PNinwNuv4O8fNzzKO82vW8gfMoTxeWLymvE +Pe/y8NL6VLQP8sZw7clLsd9Gf+19mHvHvhFce2WfBq59s68grXdEeygPPu1P +ivZTPjGufsp/xVM+cOQ74vI25Rfi8gzlw6X3jkT7L38L118Mjuc0X++wzydf +N7EvJV/vsI8iX9eQ95+vX8hTz9cp5Pvm6wvyU/N1BPmUuHUo+X/5uoB8tTz+ +L78qj/NvF+1OHm9vjHYpj2/3jHZJvya/6PRod3D5XXOivcLdd/nKuHpSG+2V +/si4tEu0V/g9MY4tWb8Xb5TXF+0YLs9cPnR630Y8j/J3cePqv0U7pp8yDp8f +7Riexu3RjuHG+b+Odgc3L3go2jdc3rv8bFy7J58Yl1cs/xU3T2kT7Zv+UV7Z +4GjfcPvLjoz2LcXfYt40Ntq3FH+LeVbbaHdS/C3810a7h/eI/kJ+eYqzhX/5 +0Lh5n/zdFGeLeaJ80xRni/Z5ZLR7+n37De2Xw+U3bhPtHi6/9Jpo93Dz4i+j +3cPlV78Y7Q5+b9T/gdEe4vYpyKfH7e+Q/43LA5evjBtPyq/FxQ3kg+LyQu0P +NA6R/2k/G9434hunR7uHi4fYL4TbN2R/Cy7e0tf+yuD2Zdg/gBv/yHdP+5vl +pUR7mMZREReST4yLI8l/xeXBytfEP4841V7y6oK/GeNA4yrjtB7Hvb5NfW0l +vpDGkzcdML52ZuX9hPiwecPO6dqy0k/j+++9ompd90o/h7/6q27PjBlW2ZeK +Xzjh4bN7zajsA8Hz/bwprtVp+i3j21bmD/jh8f5k7UV6j+P5J3Qe3LoSf8d7 +f/pl22fbVp4HfN4PfztpcOvKPn2e+l54zIi2IytxkLTPZkL/+YNaV/JR0r7/ +79XuU19byavADzjvucu7tqx4wHd59v0JY4ZV+g8832+L//aLa4a337Pyvjv8 +rDFv7rG6XaX9wo84eY+/jm9bed9d2vc2d/5tq9tVngd8bnjwe/nYYdRxPx3f +tjJuw4ubDjt+xqzK/k385jP2PqS+tjIOwF97ok27dd0r/RY+Ldvfih/3Qe+q +vu0r6yX4hOin/C7c7/W7cPdd+VO+VsPcvuPbVsqPr4l2W/nxqx88ZXDXlpX+ +DN832x+KK79y4u5XilN732fUW+VR3tM7/uvxtiMr+wfxA0dd/17tzEo/hE/L +9kvi6o/vTfOCeI5c3/fX3/HikfW1lfY9j6e5Du459VzlcaQ8f7S5fMfm8vNc +J88nw/P8J9zvyrn2J+eex5yrt3m8S33IufuSx9n4zPnUZuJseH59Pv2OM8fd +/bvxbSv7/vB10V/zid8S7+fnEz94QfE/6msr793C7RNUPty4lDdc/eENV295 +wz1fvOHajbTvKfjO0X7yk8oT/QsPyrWg5oyr2u9ZyQfFvW887X8M/pPwyQPu +/2vAA86P34t7ftP6dHDjQ78Xvynaz7ReGFw/kvYfBZ8R/azf5ftHx3Pqd+GD +rl/6/LBRlTxCXP3xu/CDoj4oP/6LaD+VH+8Z/YLyp/fHRP+o/Ph+MX5QTt+j +/MqJixuk/XrB/f+qlAdvHf2X8qT3EUY/rjy4cY7vTfs8ov74Xty83vXxc2P8 +4Pr4ihhfuY6/4z+NR4N3j3Ga5177ql3yWXvQIzs/fw+i5wRXz13Hc2McmNbh +gveJ3+X6+fsUXR/X/qivuOfR96q/w8O/78WNu1K+fnDjE+XB83Y+5ZlHPVEe +XDugXqZ1saiHyqmeHhD1VjnTe5uinisnbrzkuilvOZ4j5cfz8uOeR+XH1R/l +xwfH865+4/nvUt+N2/0uXPvjd+HGeyl/PbhxlO/DtYd+L57/Xly76vfi7qPf +i/Pg9+LaDc9h2gec1UPPpX4kvZcjuHF7WmcN/mr0U2l8GVy/lu53cP1gypMW +B4t+k588zsZP2neY9b943h/heXuOj8jaz7TvPGvf8DOydiOPvyl/Hn9zvvKu +j3Fjryz+ZpzpOnn+pOvivLl+WieK8a3r41fHePi+ZuJvvjcf9/le3H1UDrwY +9Vx50nvlY5yvPLh5gfLgXWMeMTCLv/n/pzQ3DlVOXD1M73cKbhyS+m/1Itol +5VcvzKeUH+8Y8y/lx83XlB83P9o1i79Ny/yn9w1k9x03PvS7cO2S35XGBdEO ++524fsTvVd/Ni/1e3Dza78XNQ9N7CYK7v34vbl42MYu/5fU/vc8p84DvnMUT +cO02D+k9fNFP8ZDeuxz9LC+4fn/HLL40OYsv4XOyuAp+VtQfftL/3yCei5T/ +EfyweH75SeOjaDf6ZXG5fF9wPn/iLeWbRTuf9rkHN65O7UJw8a6UVxrcuJE3 +3HiPR/zkGKf5nLyGz/8HYT1/ZQ== + "], {{ + {RGBColor[0.880722, 0.611041, 0.142051], EdgeForm[None], Specularity[ + GrayLevel[1], 3], + StyleBox[GraphicsGroup3DBox[ + TagBox[{Polygon3DBox[CompressedData[" +1:eJw1mXngTVX3xu89e59QCiHzTIY0GKIUMqUyhaIXjYQyJ2k0ZMicprdoLg2S +KCIUDSopKiGaNEikwZTQ4P08v+f8/ljW57ude+65Z++91rPWrnLNkC6Dk1wu +dz//BPzL+GL4rflcrh78H7gLfAZ8GdwZrgpfBLeCq8AXwi3hY+EG8CnwiXAT +uAFcHD4HbggfBzeE68K14S7wRXBl+AK4BVwUPguuBxeDz4brw7XgzvCFcCG4 +PlwHLgjXg2vD2/UdcBH8j1hhuBj+Bz0ffDz+y7x/6z/YV3DEH8XKcp9W+HMY +242VgBP8Dux4uDj+d/yP2HbsF/4uiY/4nXm/t7+xn/Wb8Tn8Lr0L8F+sDPdv +iW/CWGm4BXw2fDE8GR4D3w2vgVfBk+A34dfgGfD78Ep4IrwSXgLfBa+Cl8IT +4DfgV+Hp8HvwG/Bk+C14GdwPfhx+EJ4Gvwu/Dl8HPwnPgm+BX4bnwv3hJ+CH +4C8wrZW/sFHAUvxLjI2GX4MXwBfCY+Fb4JN4yVfDZ2kdYffAkxnvDE+Bx8KX +wTPhSfAd8BJ4PtwCvhUeBl8JPwTfDY+Fl2udwg8wcefpd/I9Y/DLGF/I+FXw +LHgmfDU8G74HvhleCD8P/6rngwvgt2EF4BR/EdfcAA+A28HD4YFwe/hGeBA8 +AL4PngYPhO+Hp8OD4AfgGfBUeBH8IjwbfhteAXeAR8CD4XvhFfCibI70zl+A +p8CvwPPgjvBN8JDs3Q6Dr4c7wSPhoXBX+Hb4RrgLfBs8HL4EvgMeAfeGp8Hj +4T7wdHiC3n/0GriTd9iK8YFwH8ZbwgPg3nBbeCjcH24ND4Kvhc+Hh8D98p6H +/vDVcBt4MNwXnpWtveXwcPgRxRr4RvhR+AHtP7guXEPrC64DV9MehU+Bq8N/ +YzXgCnmvJ62r/8BHsGpwuXzu/xZnLVwVeC9WBj4B/w12DBzwea6pDVeFv1cc +gY/D79GehAvjv1NMgQvhv8ZSbWX8Aaw8XAK/DysLF8Xfyj2fgh+G74TnwU9n ++0h7ajZ8A/wwfB88Dn4RngPvx8rBJ+JvY/xp+BF4JvwB/Cb8F1YdLo+/nfE5 +8KPwH1gF+CT8IayKYgz+MFZV8Qx/DddPhcfBCvTPwY/BI+EF8HPaF9FzMJ81 +MDL6vb8I3xQ9H/PgPXAzuDJ+L9YcroL/DTsXroj/HWsKV8IfiI5r1fH7sQvg +avh90Xu7Kv5X7By4Av4XrAlcHn8Q6w6fjP8L66t1gN+G1YGL4q+MnqcHeLbL +o+f4fviq6Hn9L9w7OgfMUhyKzgEPwrdE54+X4F7Rc3wf3CM6N9wDb4LLcc0x ++J7ReeJexnfDZydZTIuOiTMZPw0bzfv8CP93dJyti/8nOoaeij8SHY/q4Hdg +DeBS+O3Y6XBJPS9WHz5Jz4WdDJ+g34fVhIvoWbAa8PH6TdhpcAm9D6wufKIS +Got2KHyG3gd2KlwcfxQbAp+O/xY7BS6G/zd6fZym/49eW8/wWzbD5RkvgP8J +awiXxh+Kjsu18D9jjeFy+D+jY3pN/OHoWFxb94uO+zXwG7FScIrfhTWCy+pd +YtXg4/CfYxXggvid2JlwGfxWrBJ8rOYKqw4Xxm/BKsKF8DdpbnkFz/Ibhkbv +h2f5LTdE76Xng3/TJVzTPu/PdYM75v2dl8IdlB/gTvD5eedraY8L8n7GXnDX +vN9fb7hn3vNzFdw972fsDnfKW7coXl2W9/z0gXvl/eyXw5fkPT/XwpfD/2KN +4NPwv/CsReFXEq+RfvCVec95X/iKvOd5LvxE3nP7PPw4PAx+AX4y73V0JdwN +/l3PClfKW7cobpRWzOS7NijP4n/i78pwKfxB7HT45CzOSGvVwv+JnQHXzHs9 +XgFfmvfcXgy3hUvCHeE2ikXR+uwh7t8nWlfNhvtGa6ZH4X7R2usxuH+0xnoc +vj46Rj8BXxutqx6BB0bH4qfgwdExeg48IDoHPAmPiI77L8CDomPu0/CN0Tlj +LjwsOpc8Bx/H3hnP+DmMnQTfB58Pp/hmfORMrisBd4BbwwXg8+DG8FGsMXy6 +cg7jzeFGymvcZwR/14/Wqy2kixg/QfeGm2kN8N2j4A/xRRhvCzdXnM+u0do+ +Hm4DN9XaC877H+idMD4Dnsj49fC98NS8dZ101xTlOPxP2A7sN+xn7Puctb60 +6xHlHq7fpDiWd+7+VPfXnMGfwGvgGcHj85XDsc3wOuXE7L4/YA8y/jH+fcVo +eB38ruIyvB5+L+/rfsue4WDGSuN/YHuxX7EFXP8t/iX8/pz1925dyzNUVM7F +v6AYCZfkw78Ga3ONP8b45/B6xodHa4hDwffV/XdiB3J+L79ktid7P39m31Uk ++z6x7nsou+Yz7THuvwX/sdYNvA3+XPEle+YteX/PYWxXznv5/9/3nuy7dZ+P +lTP1Dvj/NxPv9/3w+sR78M/g6w9l87c3e0ffaf9H69d9wTpAemCevl/7EC6Y +93s9mM3379lvUw2zMLGen6u5TRwHtL9XJV4Pig1z4K/gjdoz8Jd6ZuUG+Gt4 +k/YkvBX+RHEW/gbeDP+DnQmfir+L51sLd45+nn3ZXP+m2ISvmPd72pv9rvcS +P/8fwc+8P5uL66K1+wHGv8v2kfbTHv5erd8XfI9d2fz+ku3ZoO/N9mOUVsn2 +rHLQtsRx7B8++23i+KZ7fqN8CP/F+NeJY+Df8I7EezyvvJnlCOXo26Lr23+1 +xvBNGU8YKwy3hs/VO8nioXL3X1kMUf76G26fc+4bG12LSnvsyX6j8s+BbO8r +Jx7M4oPy4P7s/srRPybOHblMv3QF2/G9E6LrbWmno1l8lpbYnDgXHAnWVtfA +PRSvgj8rbaBiWblPeWx74jk9ylgIzqHSGzE4b0pjlA6+j7RcbcXunPXejGjd +JP1UmPGeOesc/a265jq+99jg3CpdVDY4t0ofVg7Od9Kf87O4tFY6NzgnSotu +SryWDis2BOdTadHywTlXGvVhrtkIf8hniwbnLOmKEsG5Wxrm9ODnUb11lvRi +zjr2kehaSDo2DdYM0l3StmPgmxXPg3O6NFLj4BpWmqd5cF2sOvjE4FwszdMs ++LPSS8cEawbpwOewbok1sLTw3Yzfxf2/gs/NWav/kLhfsQDemrhPohw3NTjG +XspnpwTH3kvgyfBHcFd4ceIehbTuq4l7HdK3SxL3NKSHX09cmyhfL09cT0lX +TwuO7d24z4rEdZB09RuJ6yPp7aWJ62tp8unBuaM71y9K3A+RZl6ZOF5JA5wf +3AORVlwYnc+k+dsyPilnnXlBcN9A+vmy4Lq+Hrwsce2mWqBD8LuS9r40uG8g +rTs4uPZvDncM7jlIk3eDH8xZ93YP7htIM3cKzpvKn5PgD+EujD/F31/AG/LW +BRp/RzVD4vj2FtwLHg/fkXdfTe98NTw6uBZWXh0V3NtpF117qwZvD1/O/02A +R3F9T3gcfDt8BTwRHg33gO+Eb8t7jajuGJn32tIauxW+NLGWuCnv+ukxzR08 +Lrgv1IHvmhDca+okzRzcw2kFTwyuPS+Gbw7ut7SBV0X3LKSFRgb3W1rDdwT3 +oC6Cb9R6gs+DRwT3iFrC44P7Vx3h4cF9nhbw7cG9rAvhW7Xm4LaKpcG9rAvg +IcG9EfVIpKHmw8/wW/oH69smXLMhcT9QOv/TLIYrl32WuCcpXbcxce9R+n8d +fGrONc5HifsP0o0lg3saK/HFgnsdr+MLYdfBy/Clgvshq/AFg/ser+GLB/c9 +3pB+C+6lrJCeDO6lLNc6StzTkP58N3FPQ/p2N9wOXgTvStxTfVl6IXHPULXq +F4l7qqrHv0zcU1WdvjZxz0Qa+OfEvdlX4C2J+6jSt6sT9xCkq3cm7rUuhN9J +3D+R9l6TuH8ijf1B4j6J9HOl1FpKc1cmi42K2XWCe01rFGuxZ+FGXNMnuM/Q +WOs5uN/YEF4a3feRBu4VvCYbwFcE9xjPhPsG1y9nwYOCexTNovW41sZi5nRg +cH3XlPHXo/sp0ur9guugs+EBwevkXOXB4J7em4q7wT0Z9WbeTtwnUR1RLbjP +thpfJbhH9w6+RnCf7V18heB+4Fv4mtjN8Pva05l2kl6qFNwnfBt/KHHP/FU4 +H1wDKofuTZxPldOPYD3gpfz/vsT98MXw4cS99yVw5dRaU/u0bnBPby2+Ymr9 +rb28Orquk156O7p+k4ZcGd2L/FkxOLqukG55M7ovuZvxZ6J7hZvgidG9fq3n +ydE9Cq3hSdF9Ca3hu6LPBrQXno7uOX6m9RxdK0rHvhddH0q7rs/qFmmGFdE9 +sp1aL9FxarPeTXDP80ft++ge6C6tw+iaSvpkbXQNJj32YXR9JT12fXAfVfd8 +K1r7Sg9/HF1fSQt9FF2nSeOtia6xpROuymKL1sO06F6E9v66TLdJy70TrVOl +OR+O7nuqz/NEdD/3E/ip6J7sBq336H7xx1pr0T3cT+FZ0f1Tzd090X0zrZN7 +o/tmWm8PRfdhVdPNju6lqh58LLofvR5+NLpPvQ6+O7pvprV9Z/Q5itbbuOiz +Ga2f8dFnNlpjt0efr2jv3xp9ZiP9MD26h6OYdkf0uYviz5zo/vJGeGp0H0bx +bUz0eYbW6ujoMx7FrlHRZz+KP72xxbzbn/DXBPfDd2hfRvclv4JbBvfSt+Bb +B/fPv8B3Du6pbsP3CO6p/oDvEtwj/RbfMDhX6v3XD86Vej8tguvfz/H1gnOl +3lWD4LyseTkzOJ9qXroG91S/w1+i/QB/j784ixXSANKNqgtfTKw/VVuoJq2Q +umZW7lbtqdqrTuoa7/ucayv1VXS9Ptc+uO/9Db4N9l/4S/wZwblbmrNV8JnC +VvxFwX1jvat2wf3zr/GNtA9zXm/nBWsV5f8mwf1e7ccXorWI7rM8unesuXg+ +WkPo/bwYrS30DDoL0O8rz/OPDe4FKT6MCdbb0i0vRZ8l6BnmRmsUzd28TLto +7m7Qnsk55gwN1jzK3e9H14SqwRdEn0PoPbwW3UPX3l8UfaaiuTg3+JxCcalp +cH9DseKc4LMMrcnF0ecumq+ewX317fhXo3vuWjPLonvrWnsvR/dHtK6GBZ/L +KM4siT6f0GdfiT7j0RqbGd2jVsyfEt3/lB6olbrmlwa+L7o3rtxRInXvXrqo +eOrzPGmqY1OfXUmrFE59VqfcFFP34pUfj099tqe8Viz1GZ40UrnU/RdpxRNT +nwVKU1VJXXtLpxVNfZ4n3VUk9dmhtO4Jqc8IlUND6t6ocm7J1JpVuu7B6PMe +5fHaqfsX0uo1U9fzqiNqpO4FqHY4OXX9r5qiKvxk4ro+n7rnKE1eMPW5oPJ4 +mvrsTfm9euo+grR0gdTniNIJhVKf4Sl3H5P6LFBa4v7oswbl39Kpe0nShKVS +a2tpxQ3RfUbV+GVS95ikJ8um7kNJl34W3c9V7f9pdP9Otfn/ANwZ2Bs= + "]], Polygon3DBox[CompressedData[" +1:eJw1mnfgz1UfxT/33o+RJMloyMompfGkTVMKpaVCGS0aGkakjJKUStEwCiEq +FQ17Z1dP2kiaD+2heBrynJfzef647j33fr7f3+d7x3mf97lqdrmp3Y0xy7Jr +9U+u+pSUZQ+rbi+8Ux0dhGcI9xKOJbLsRdXbhL9ReUntwzU+UO2Wam/X8y+p +jApZNk5952jsWJX71D5P479p7Djh4cLnC/8ufLLwQ8KXCO8QHii8THiM8BLh +51VG6PtGqe80jdUXHqb2QPX9V+171PeR8FN6vrreb4PqhsJRdW+Nn6fxR4S7 +C88Uvl31dH32ZfVdobE/hFupXUv13Rpvl/y3rhd+Rfh84UeFewjPEt6oupFw +Ut1HuKfGZwkPF14oPF31F8Lfqrysdr3c83N78Hx+ob6jhMuo7if8ueojhfdS +fbvwISpdhTvo+R/UbpB7/gYJ/6H2x3qugXBQ3Uv4OZUHgt/xVL3L3Sofqj1e +49U0H72EVwqPEN5P+Bk9Pzh4DViLycJDhO8XPl74ZpVX1L5fzy/SWG/hVcIP +ClfQ5/sLvyk8SriK8Bxq4c/0HUv1/ACNvy38mPoP1Hjj3Os7TON/q32nxv8t +/LjGD9L4HcJvCY8WPkB4iPAHwuOEDxHepLqxcK66rz5/q8ZXCD8gXF7jfYRX +Cz8kvL/wpcLPCd8sHISn6zP3B++BFhp7V+31KhM1PqnYE2PAmffKUJWP1X5a +YzX4PtX3BZ8JzsZdKu+o/YT6D9b47cJrhUcKVxKeyp7U8yPUd6LG+qqsUfth +jVfUeD/hdcKPClcWnqbnh+v5keprrrEpwncLPyB8gvAY4V7CA4QbCzfMvXas +4Z+cJ/ac8EThvfR9zYSnCU8QLi18m/ARah+rvo/0N48Vfpbfp75SGq8m3E24 +o/CPaldV6SJ8ufD3av9LZSrnS7iknr9T+FS1z4YD9H3H557vSeoro/GmzKfw +I8Hzz54+Tu0Wmff6AOEWwi2FtwkfIzxB7SfVV4L9INxc7bPUtxV+EX6C+VPf +bn6LypPMt3Cm50vrmWZqN2cPFmeiqXCzzGeFM3qU8PGZz+4OzWF1tauob4XG +ZuR+V975bI0NhjOELxHeqeeHwAHC7YX/yx5VaSl8nvDPat+i8UbBZ/o94ZuF +Gwaf6XeFBwqfLXy+8C/C9VXaC1+ZQSIF5whfmpmL/lRfPbVrqG+NxnYK1xA+ +QHhlbk47Uu3jMnMdZ+Jo4RMyn5W7hE8L5rRvhf/S55uoXVd9a3lW5Wn2r3Cu ++ftD43WFqwuv1tjfwocL1xNex9ypPMV5FU56vonw45w34X/UPjF3fJgqXFbj +LZPX58povqoN53Ieg/m/TfLfvyaaD85MXt8rovmcOTpV+MD/z13y2nSO3u8v +qDyo7xqtvtM11jZ5/xC/dmmspso1/H0984vaNVSu5vuFf869puy9GtFrfVHy +eSAI8ntqqXQX7qLnf1W7ffL56hm93y5JPl83Re/HF1Ue1bNj1deKvSV8ldqd +1PeT2nVU+gnfEhzvDsvNJXAK78ue4izVLPbavfqODZxf4Zr6e2epb4Hwa8F8 +e47wEuG5wfxzhvA84VnB/NNKeLHwnGB+bSm8UPj1YH49mRgtPE24nPDZwouE +Zwfz9enCc4VnhoKvhI8PXhNiVy31LRNernKo2qdqfLbGXgqOD6cJzyH2BfNx +c+HXhGcE83UL4deFXwyOR8P0ezdm5mK+r3XyfruavatnT8kdq4nZ+2r8JOZc ++FnhfYQvSN4LN+j5VzV2U/L8DIt+/in19dezg9XXFG0j3EP4FuGDiUXChxf8 ++B/Op/p6EEvVfpzYyv7R+I3q2x+twv4Qvpk9KrxQz+3DZ9XXDa4Tvk7ta1Ue +FJ4vvLfGvxLuIjyC/an2TeqrpM8v0HhZtb9WX1fmRrik8KfCHYXfKfi7WcGH +rxY67RP1Xc7cxj3bMtss3CF3PJoP/6p/MftJpTPvo77SGqud3G6u8dHERvar +xm9Q337JMaI+3BQdO+AguKh+ET/mqZRR+0v1ddZYqWRuPEL9Q4UnEuM1do/6 +jkYLCDcR/he/Uc+8ljtWEDOI1V+p73S1y6p+K7fG47Mdo7XfFtWnCJeM5iM4 +DC6Dozar73uV1mpXVL0+92+ES5tG/3aeOZmjG/1ZYgSxopTqN+FqPX+98GnC +T7D3Ve/FXoejc+ub0sQu4SuE3yUmBr/Tj9Exm711WXQs5x2OCf6bvNseTaZ2 +h2ithgYZQnyN1ia8Q30937SIX6/EPWEh26S+y3LPKVwGpzHX83Ofdc78dckx +jFhGjHg7OkYQK2oKvwOncq5Vagmvh2uitejAzNq9TrEn2AuPqaxGtxGr9EwP +4VXEPGKdcPfcMYJYQYz6MPozPYX7ZP6u79BYaq8N1u8TVAYEz8FRcL/wHcFz +cCSxQvg24TuEGyWvwa3C/TOvDWcQ7oRDOZujOOPCvYUPRZsL3yjcCw4VHg/f +Cg9iTwrPjHu2craRGKuxZehEYqPw1cJvoNtYK84I64HuFP6dM5o7hh8q/Gdw +bGcOmcs/hHvyeZUywXPEXA3LHTuIIfvo7/+k8obaC9RXVQd1m+q/hSuoLI0u +tL9R/1X67HJ0ovB3rHluTVFb+K9grTFcpVvwnt0XbYmOVvtX+jQ2VqW32neq +7zC0KTpV7e2ccY2tE64q/BucJvyIyg1q36a+6uRqwl2DOXBv4UnCdwkPFT5G +eKTw9cK3Ch+SfCbRCkdkPquc8TP47dFnH049U7hcNNeyJnBvq+i1Yg+zlwdF +60f2BO9ybvReYfx54cHRex8O52+fE83t76kcW+i/n9TXIzle3g3vljAHsVfa +RHMTnEOsvqXgIjQ13H5GtNa+kt8s3E94jvA/qjuxt1V/knsO2Otto+dmcfTZ +26p3WAbXavwZ4f7qn5s7Jo3X2OTMseqy5Nz4Vo2/nrs8E/wbGeuS/OwdcG3u +HHRc8HeSm5JTk1t0i861eeaF4JyNz96QHM+HRsfHa5Lj8V3R+cDVyfH6zmj9 +3y05Hg+I1vedkvVBn2h9iMZi7TtFa689mp/9G50LdEyOx72j9SFnnLPYOvrs +35isR+6N1htoJHKbrtHa6fpkfXJPtH5kzp4PzqmZS2Iesa98dG6AHiRX7RKt +3ckh0ML7RecW1ybrl4HR+RAaGG28f7Q2Zk2f0/fPzLzWu9V/hdp1VW8msCZr +83rCnwrH5HyoofCW3JzfRrhSdCxgz7UVrhy9F8kJyA2qqH5fuGSy/mwi/KXw +fdHabUlmrQJnE8t2BHM5Off8YA+EXLyZxi8lFqh8l5sD4cIW0foUjufs7Szy +g5XRev5HNFpuTiW2nx7NtcwnudW+0dpiT04ovDs41sPpxOp/inyA/KpBcD5D +/vaByjFq71LfqiI+EAt+CuZCzsCfrEfms4EnMk9jSzN7JU+qb01wDk0uDUeh +hc6M5q7fVF8oXFX1h8J5cn7aWPhz4e2qLxA+mHcR/kt1B2KB6o3CKdk/aST8 +mfAO1RcLV1P9cW4PZ2zwGcfb2aX+jmrXVr0JvonORSdkzi3wSIhF7aK9E3J6 +uPWi6Fy/RLLeP0z4i9wxmlh9uPBXuWMgsXB9Zm8Lzwk92zc63yUfIdesrnqD +nv1d9UVwq+qPcnsyxMYLor0aPAG8gAujvQJiUINCPxCb1qn9vdr/URkr/Huy +P1OmWB9i4N/F+hAb0eBocTgBrwgNj5aHM/B+yAFmFnoDL2ND8PqWJ2Ym7+fn +ivPK+pKDoE/QoGhRND/aH47BuyEnIDfgjOLd3JN7f3cWDsxNcn6GB8B5fz6Z +b8h5yX1fTM5F8BTwFl4SPi1zjkKuMis598WjgJ9egTMz58Scf3Iocik4By9r +ZnL+hScBf3yp33M0sU91f7gimV/wFPAWyBHJfclZyR3x2BYFe2R4b3AguTI5 +LtwIp5Ebw5FwHWvO/pqYeS8g3vEyyHHJNfEnxxT7E34iJk4q4gOxEE8Fv4IY +RiyDo58o9ivcDeeTG8HhxAI4l1yPPQcXo0HQInho7XOfx3kF37A/yRHJFYkh +eHPkhOSGcDjeHjnlnIK/8PLw6BYGe4x4d+Rc0wt+hd/IUecW55/zDidPLPQ/ +XD09md/Jccg3ZgifmNnTwNu4ILffuEK4Dr81Wc+UD86nLsrtN65Ck2r8vNx+ +29Lg/Lldbr/tDeHawg8n6y3OAGfh/Nz+HTktue2Fuf3IlcJ1yfdzcxWc1UD4 +4tz+5Wrh+sx1svfTsNCHzyT7w4cWemsKHCdcp9CTk5P9zNqF/lpEXBR+TnVD +fd9jyfq7bHD+8b766/C+aC7WK1m/VQjOF19Ijm94XHhdjyfrwXLB+dnoZG3K ++Sd/gbOrBccIuJwz107tBtFncTYaJbMnhTdFDsncrC3OMx5vyeCciNyIGFM6 +mGOIPQs4c8X57462SM7H8NDwN36NPq8HqR6EPir+Ph4Zfs9sdInwFuFOwqM0 +Xlk4D86HH03W6zE4330kWS9nwfnwtOTz26jQyyOT9f4/mfMpcszDgmMYuedr +yfkrnh9+EBoJ7xTPB+2ERsIrxfNBO6GR8ELxjNBO+MPkG4Mz54J4Xnj1eLR4 +YXj+5FuDMvvHeFh4t2gYtAweEF7QyCLe4InhleMR4ZURj/CH8a/xp/HIuPvg +TgDvDI+L/JCcnjwOjwuvixhUKzkmtQmOgcQqNEjb4JiDNkHznBWsWXYXMbZ1 +cAwi9hJDzw2OycTWVSp9M+d85H5oJPxQ/E20E/4ma9mu4HM085nBGgktzedX +qtRVqZecj+KnkBOQGxDTTwz2BLYXZ+L56JyMs4Jn/mqwxu9XxCPuXGIRz/CQ +8KY488MKvnshOh6Si6HhzgnWEGg77rQeC/acuOviDqpvcH7M3RQe1L3Bdxh4 +U3h45KNoArQBnibeJpqMuy7mhFx6ZTFX3InhB+EXkW+j4dByaMoDkjUc+SL5 +FtqOnGVKsKdKLoOfxGd4Fr8JjXJGsAbdVWie04M9kL8KzXBycM6FlpiF7sx8 +J0W8hrNWF/prhPCMaH1Czv5LMsetKfTKg8mcCXfCwfclczBcDEcOT+ZcuBdO +fCB5/vHyuF+BT8fpffoQezXeJJnDGgefUbiNO7vFwXc43OVx57IkmMO5i4HD +lxb8gzd6nT5/SDAnrihi9AnBnELshrPhbmLC/ckeHF5cT+EqyZzTqtifcNFY +9X2l9tcqPybvN7iYvh+S9wx7Z6vKz8l3ctzNoUmrCn9NjArWoGWSNRzaBQ2z +s9CcpwRr7h2FJoRr4By0Incs3LV0hROTNe9JwTk0Wph3rpycB/BbpiZrcTQf +2o87G+5u0KDVeFfhC4M1bblkDi0VzKFw60P8hsx3uKw3HjZ3K3j2eNvfCF8S +nANVFN4mfHFwjlQh2dPG2yanqSH8be77jM6Z33MrMTk4Zy4vPCn5PrZWsD/B +fuMO+bNif01I9hbxGPGX5rLGmT1L/Lu9cu9l5pC5PDD3d/NOvNu85LPDGcJ7 +OSD3b+cdeJcyueeeNWFt5id7J3gceB0lcnsH3CGRr5XKzT2sAWuxMNkfwCPF +K12UnK/gCeMNL0jOr/Bk8GaIsWWKeEh8XJecL3CHh79QOvfackY5q8R4Yj0x +Gu9xSTIXwol4zVVy7y3WlLVdncw9cBDeGJoCbYGmwLt6Lzm2EGPIV1Yk+xV4 +ZnhnbyT7IXhmeGeR/ZbZs8S7zHN7m3gq5LPLk/N5PCK8on1zxwo4H+5fmuzH +4KnjrS9L9m/wiPCKUm4vFM+UfLlsbq6Cw+CyNcn5DZ4f3t/a5PwGT5B8tTLn +I/MZ46wdnHtvsufYe2gctA6aCW96fbJfgQeN38OeY+9xZ45X9nHyXTl3wviv +FXPHRmIisXFD8v0/d+r4te8K35vZA8Pv+Sg5FhOT8XvfSfar8TjxO95K1gJo +AvytD5L9Gu50ydfa5uY6OA6u25h8f8H/ccDv3kQMyXzHhd/ydrJXyh0Gftf7 +yf4Jd/bkg/vkjgXEWGLth3Be5jto8lM83JrBZwxvF02KNuVM4g1OTJ4bnuHZ +NrlzGTgZbm6dW9uT45DrnJs7d0Dzo/0Pys0NcAbccVIy11+s735WeHEy93Ln +wd1HpdzaAw6EC/fPrTXQKGgVOAAuwFPAW0Ajo5XR1HiXTYrvOys6tpTLrS3Q +MGiZN4u/jweKn4BGRCuiEbkrwQ/Hb8czwTtBM6Id0YjcrWxJzr3Iwfi/AZ8k +51rkXPhNnyV7cXgIeAlwGFw2LTp2zlbfZNZOfZfDx8neHJ4W3tY3ybkWORfe +yLfCyzN7Png/eNIHBXvMywoPCW5qkdlb4v6Z3JccmLvS7cm5ODk53gsaF61L +jsNdwuZkv5E7Svw2Yv4W4WejtcCnwuMz/58d/MRzi/1zlcZfFn4q2X8+ONiP +fjo59lYN9svHJ/vjvDPvPiZZq1UMvg8bl/xbuIPA3yZmE4t+CI7lfCffzXcs +L/bM0OB3YC99mZz7kgPj136e7I/iieKNfiE8JbPHitfKO48O/k38lsuL33db +9Np8lbw2eK54r3OStTMamrsW/HnuT2pk9q/+nXx3wZ0FfvTu5NyBOy38bXIw +cjFyUu7yyFHIVchRuMtDE32q9tRorVRJY99l1hfojP1ya1E0Nlr762QvBU8F +rxLNtYn3jdZi5LzkvuR43C0yp8xtzcx3CVv1/KuZPWG8YdaAtSBn5K4STbRZ +7SmFVuIyEb+PO1D8+ZDbDyQfxx+skFv7kxOQG+zNHsmsOdGeaMBPhCdHa8Pu +xfwOKXJB9gh7hT3EXcuu5LPHGeTua1tyrrjHMxL+H9qvwLI= + "]], Polygon3DBox[CompressedData[" +1:eJwt13ncjWUaAODvO+dIliRLRpFBGEKTtawjW9nK3tgauylLZclkKWPf96US +GWtTqpnQrpCtLJUlJcy0aFcRJaHr/r3+uH/Pc1/P/Z7zvd/7Pssp2WNQm4Gp +rKysPSKHeDOdlVULfJvJyrpG/1pRWBSKPqtpbLr2sLyb/sPZWVkTXddYfoXI +K642XsXYJO1Z+QU1lUV1dQf4y+wmbRvWieWS/yLOyyuJimKwazewkupulTdT +d1b/RVZK25A1Z7/qF1Z7o/Zu1oddpuYl8WfWmv2VXS6/SuQXRdVXNzZVW1T+ +B1Esk9z3TO2v8ouuu1HUcO1BXprfph3OHhSL5XnU5RZF9Ksam6w9Kf+f8ctF +TtGNrWd/NN5AfrvP+0X/SpYvvtt4NfkU7Tl5Dv3q6uqqO6r/Fqun/cF4Kf3S +l55JPJvirLaxWdqj8l764107w7Ut5B+KLmwUG88ayt8TrdiguA9WXf6+uIPd +x4azGvJKPrMfW8SWslbsXdGSDWTDWDV5GXWt2Rg2mdVke0ULNoANZVXl1dUN +Z2vYc6wb2yfasMFsJKsl3y/asiFsFKst3yOas/5sCKsi3yb+wrqzv7Oy8t2i +Gbs33h92Uzxv31uBdYr3IP4P8h38VtZT3l9dBXlZ3pFNZBPEanlF0ZctlC9R +11Ld5aw4a8nasZ/0c7HrtK1Ye3ZavwLrrp3NHmW3ufZP7O54x9hC1pSVZ3+L +Z8gWsSasHLsr5g+byeqxy9i1rHnMBTFGfoPowxbI54vn5blFCXaHvINrz+jn +ZMW0LVhbdko/ByuibcruYN/rp1ghbSPWgn2nn2FXa5uwVuyE/tv+nkba3mwg +qyjfKRqyXmwAu0FezbUPstXsWdY11gd2PWvHurBz+nlYaW1b1pn9pv+B2k7a +EWwsaxDzWd197Em2hnVkN7JBbGk8M9aefSx6sLFsGmsmPyjas2HsYVZXfrNr +H2bPsRdZH/aR6MpGx3vAGsVape5+tow9xe5iBUWBmIfGahibFvcl7tR/RN0k +dTcbPyQ6s5FsHLtVXlldLLpL2CrWgR0T98SaxOay1rGOiHvjs9k81ka+SzRh +fdl9rLL8HdGY9WGDWCV5Vd8xjK1ia1kXVpONZs+yDawXq8FGsbVsPevNtor6 +7Me4p5jj4oBox4aqG62ujvy3eC9ZDVaPHdE/wnpqx7HprHnsCz6nDGvPurLz ++vlYWW2HWCPZhVgTWTltR3Y3u6hfhQ3VrmQr4jnJ06Iwayxvqe5b/ZKxxkZk +kvVyrvbf8mz9UuoqqPtQvwS7TpQwXlc+R9tCLNbfpW6/un8a/0pMYU+zF9j9 +8q/FVPYMW8cekM8TR+XpWO/Zi8br+7xJ2pfYG2ygmjnxXsovXtpn1xv/mf3M +ysVeE3twKpnn12hrszrigLxArEWsi7ynurTrFohP5HlEbvZKrDXssPy83CVZ +61g9nYmxb/KNbECspWwR28H2stGsNhvH1sX9itfkDcVM9oZ8u7ph6s5EyMvG +ns72Gr9N3XztVraLjYh1mC1k27OTs8UodjtbwLax3WxkrMNsBtvItrGh7Bvx +GHuVbWFj5HXUjWfr429j97L54v/yXBHsZeN11U3QbmCvs/5qGrDp7HW2lQ2O +vYNNY6+xt9gQtkh8Jr9S5GWvGT/NvpeXiHtm21LJnlI+lazDsR4fkxcUlVhX +ea/4/7vulPhCXiSuj7NVrHvqVmoPsI/ZFDVXxVrOOrMeLJVO3sF4Fx+P903c +lUme0dhUMg9iPuTJkexbHVLJmSTOJmcunUGO6ecQl4lNrL1Ype6g/IjPnZpO +5taQVLJ3xB6S8nnreFFWS95Q3clY+9XNSSXvRbwfV6tryubF+UT+jrqHYi9n +y9k+9hGbxO5kT7J32SE2gc2KdVZ+Lt5l8YLxQuoqa7vx3jFHDCwUn8qviHtl +r6aSc1hTbb/Y98WpuH+xOvYM+VF101zXmi1j77EP2cQ447ClbC/7gI1nHdka +diieI5se5w+2gu1nh9nkOPewJ9jumJNsLPtJnJBfJ4rH36OmlViibo/8oLpx +6eT/N5dtYZtjTZA3FrPZJvlOdcNjT2Wz2JtsB3uQLY/3SF5AFGPvxPOP75YX +iu9lu9gadi5qRBm2n/2LnZTnF9eyt9kr6eRs/nkmObvGGXZJzLl4/qKwureM +PxHrnTwrvkezhX3CBmhnxPvC2slXitPxTsT/ge2OeZZOztdfZpI9MvbKxbGm +qrmgpqDYHHMvnZx9v8gk5/I4ny8V36rLxGeq2xrnB/Zr3IO4nu2LtSGdnLmP +Z5JzdJynz4ucrKa6+uqO6W+OtUN7InNp3RfFRbHYBzLJ2GztlnSyH3yfSfaR +2E/irB1n7pKZZD+cF2dw0UD/ft/xD99R3vgt7BH2PHuJ9WUb08m54KtM8tsp +fkOtEmfVXCNKq3s/1tZ08pvq6zhn6RcRtfTHsP+oe1ldv1jnRH82nc1nbeWb +0sn5/7tMcj9xX8vEj2ryxfeo22k82/iVsS+xJuy4/qfqHoh9ki1mneRPxWSM +vZSV1z0U7wl7SPs4W866yy/Ee5NKfqfF77XdPv8zNjj+R/In1HWWPytysQqs +KvsklZxZe6eSM3actc/JH1X3uf5VMdfVvR77LkvFfGc3sI/0H2PH5QXj/tjG +VDIHv8tOfmvFb64tmeS35G+X5mTMze2xBrEfYl0XRV27I9ZVltZezyqyw/rP +sdzxd7Jq7FP9/7IC2qqsNvs6nk28r3E+YbXYV/H8WX7tTewW9mWsmfH+a6vF +fs6+SSWbc77Ym1lj6ef6F9VdEfsXa8Q+SyX/57yp5BwQ54ERrjvORrDF8hXq +esjXigwrE8+DfRxzL/YQ7XL2DLtH/ng6maMxV5+O9yb2JzEy5nvsKcZ6yueK +I/Ls2D/YBuO/Ay3T4QI= + "]]}, + Annotation[#, "Charting`Private`Tag$276254#1"]& ]], + Lighting->{{"Ambient", + RGBColor[0.30100577, 0.22414668499999998`, 0.090484535]}, { + "Directional", + RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], + ImageScaled[{0, 2, 2}]}, {"Directional", + RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], + ImageScaled[{2, 2, 2}]}, {"Directional", + RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], + ImageScaled[{2, 0, 2}]}}]}, {}, {}, {}, {}}, { + {GrayLevel[0], Line3DBox[CompressedData[" +1:eJwt0rsvpFEYwOGPcRsMK6Jd0RAFpSgoN4pViSjoiGK3WIlsQakQOh1/AS0R ++k3o3MfMuM2ystkIu2Tjfg3PSRS/eU7mO5nznsxX0zvQ8S0niqJR3SqsL/Vb +87lR9IE/WM0NNvKQrTxnO5/Zw9JYFCX01bqew2zmONs4xS7OsJ+L/M5l/ucJ +77Wta/3TioFSXGWaa8xwnTthJu5yk3vcYlL74Xd4wBSzTPMnMzzkDo+4y1+c +dY9TPuhYN+GOmjBbkiNc4iAX2MdpdnKSnzjGJg6xjrX6Yh1nNx+d8Zl/2cIs +G8K9+JEX9v3hncp1FfaqyoxlrGSCFSwNe1jCBItZwng4j0UsYL4KrWMsCP9x ++I6vytNLeKYnGSOa83H2/j68Acy/Svc= + "]]}, + {GrayLevel[0.2], + Line3DBox[{690, 1004, 473, 689, 1113, 912, 691, 1114, 913, 692, 1115, + 914, 693, 1116, 915, 694, 1117, 916, 695, 1118, 1010, 1217, 696, + 1119, 917, 697, 1120, 918, 698, 1121, 919, 699, 1122, 920, 700, + 1123, 921, 701, 1124, 922, 702, 1322, 1005, 923, 1006}], + Line3DBox[{704, 1011, 1218, 703, 488, 705, 1125, 924, 706, 1126, 925, + 707, 1127, 926, 708, 1128, 927, 709, 1129, 1012, 1219, 710, 1013, + 1220, 711, 1130, 928, 712, 1131, 929, 713, 1132, 930, 714, 1133, + 931, 715, 1134, 932, 716, 1135, 933, 717}], + Line3DBox[{719, 1014, 1221, 718, 1015, 1222, 720, 504, 721, 1136, + 934, 722, 1137, 935, 723, 1138, 936, 724, 1139, 1016, 1223, 725, + 1017, 1224, 726, 1018, 1225, 727, 1140, 937, 728, 1141, 938, 729, + 1142, 939, 730, 1143, 940, 731, 1144, 941, 732}], + Line3DBox[{734, 1019, 1226, 733, 1020, 1227, 735, 1021, 1228, 736, + 520, 737, 1145, 942, 738, 1146, 943, 739, 1147, 1022, 1229, 740, + 1023, 1230, 741, 1024, 1231, 742, 1025, 1232, 743, 1148, 944, 744, + 1149, 945, 745, 1150, 946, 746, 1151, 947, 747}], + Line3DBox[{749, 1026, 1233, 748, 1027, 1234, 750, 1028, 1235, 751, + 1029, 1236, 752, 536, 753, 1152, 948, 754, 1153, 1030, 1237, 755, + 1031, 1238, 756, 1032, 1239, 757, 1033, 1240, 758, 1034, 1241, 759, + 1154, 949, 760, 1155, 950, 761, 1156, 951, 762}], + Line3DBox[{764, 1035, 1242, 763, 1036, 1243, 765, 1037, 1244, 766, + 1038, 1245, 767, 1039, 1246, 768, 552, 769, 1157, 1040, 1247, 770, + 1041, 1248, 771, 1042, 1249, 772, 1043, 1250, 773, 1044, 1251, 774, + 1045, 1252, 775, 1158, 952, 776, 1159, 953, 777}], + Line3DBox[{781, 1160, 954, 779, 1161, 955, 783, 1162, 956, 785, 1163, + 957, 787, 1164, 958, 789, 1165, 959, 791, 1166, 569, 793, 1167, + 960, 795, 1168, 961, 797, 1169, 962, 799, 1170, 963, 801, 1171, 964, + 803, 1172, 965, 805, 1174, 967, 807}], + Line3DBox[{806, 966, 1173, 804, 1265, 1057, 802, 1264, 1056, 800, + 1263, 1055, 798, 1262, 1054, 796, 1261, 1053, 794, 1260, 1052, 792, + 1259, 568, 790, 1258, 1051, 788, 1257, 1050, 786, 1256, 1049, 784, + 1255, 1048, 782, 1254, 1047, 778, 1253, 1046, 780}], + Line3DBox[{809, 1058, 1266, 808, 1175, 968, 810, 1176, 969, 811, + 1177, 970, 812, 1178, 971, 813, 1179, 972, 814, 1180, 1059, 1267, + 815, 585, 816, 1181, 973, 817, 1182, 974, 818, 1183, 975, 819, 1184, + 976, 820, 1185, 977, 821, 1186, 978, 822}], + Line3DBox[{824, 1060, 1268, 823, 1061, 1269, 825, 1187, 979, 826, + 1188, 980, 827, 1189, 981, 828, 1190, 982, 829, 1191, 1062, 1270, + 830, 1063, 1271, 831, 601, 832, 1192, 983, 833, 1193, 984, 834, + 1194, 985, 835, 1195, 986, 836, 1196, 987, 837}], + Line3DBox[{839, 1064, 1272, 838, 1065, 1273, 840, 1066, 1274, 841, + 1197, 988, 842, 1198, 989, 843, 1199, 990, 844, 1200, 1067, 1275, + 845, 1068, 1276, 846, 1069, 1277, 847, 617, 848, 1201, 991, 849, + 1202, 992, 850, 1203, 993, 851, 1204, 994, 852}], + Line3DBox[{854, 1070, 1278, 853, 1071, 1279, 855, 1072, 1280, 856, + 1073, 1281, 857, 1205, 995, 858, 1206, 996, 859, 1207, 1074, 1282, + 860, 1075, 1283, 861, 1076, 1284, 862, 1077, 1285, 863, 633, 864, + 1208, 997, 865, 1209, 998, 866, 1210, 999, 867}], + Line3DBox[{869, 1078, 1286, 868, 1079, 1287, 870, 1080, 1288, 871, + 1081, 1289, 872, 1082, 1290, 873, 1211, 1000, 874, 1212, 1083, 1291, + 875, 1084, 1292, 876, 1085, 1293, 877, 1086, 1294, 878, 1087, 1295, + 879, 649, 880, 1213, 1001, 881, 1214, 1002, 882}], + Line3DBox[{884, 1088, 1296, 883, 1089, 1297, 885, 1090, 1298, 886, + 1091, 1299, 887, 1092, 1300, 888, 1093, 1301, 889, 1215, 1094, 1302, + 890, 1095, 1303, 891, 1096, 1304, 892, 1097, 1305, 893, 1098, 1306, + 894, 1099, 1307, 895, 665, 896, 1216, 1003, 897}], + Line3DBox[{911, 1009, 685, 910, 1321, 1111, 909, 1320, 1110, 908, + 1319, 1109, 907, 1318, 1108, 906, 1317, 1107, 905, 1316, 1106, 904, + 1315, 1314, 1105, 903, 1313, 1104, 902, 1312, 1103, 901, 1311, 1102, + 900, 1310, 1101, 899, 1309, 1100, 898, 1112, 1308, 1007, 1008}]}, + {GrayLevel[0.2], + Line3DBox[{251, 474, 1113, 252, 488, 280, 1222, 503, 295, 1227, 518, + 310, 1234, 533, 325, 1243, 548, 340, 1254, 563, 1161, 355, 578, + 1175, 370, 1269, 593, 385, 1273, 608, 400, 1279, 623, 415, 1287, + 638, 430, 1297, 653, 445, 1309, 668, 460}], + Line3DBox[{253, 475, 1114, 254, 489, 1125, 281, 504, 296, 1228, 519, + 311, 1235, 534, 326, 1244, 549, 341, 1255, 564, 1162, 356, 579, + 1176, 371, 594, 1187, 386, 1274, 609, 401, 1280, 624, 416, 1288, + 639, 431, 1298, 654, 446, 1310, 669, 461}], + Line3DBox[{255, 476, 1115, 256, 490, 1126, 282, 505, 1136, 297, 520, + 312, 1236, 535, 327, 1245, 550, 342, 1256, 565, 1163, 357, 580, + 1177, 372, 595, 1188, 387, 610, 1197, 402, 1281, 625, 417, 1289, + 640, 432, 1299, 655, 447, 1311, 670, 462}], + Line3DBox[{257, 477, 1116, 258, 491, 1127, 283, 506, 1137, 298, 521, + 1145, 313, 536, 328, 1246, 551, 343, 1257, 566, 1164, 358, 581, + 1178, 373, 596, 1189, 388, 611, 1198, 403, 626, 1205, 418, 1290, + 641, 433, 1300, 656, 448, 1312, 671, 463}], + Line3DBox[{259, 478, 1117, 260, 492, 1128, 284, 507, 1138, 299, 522, + 1146, 314, 537, 1152, 329, 552, 344, 1258, 567, 1165, 359, 582, + 1179, 374, 597, 1190, 389, 612, 1199, 404, 627, 1206, 419, 642, + 1211, 434, 1301, 657, 449, 1313, 672, 464}], + Line3DBox[{261, 479, 1118, 263, 493, 1129, 285, 508, 1139, 300, 523, + 1147, 315, 538, 1153, 330, 553, 1157, 345, 568, 1166, 360, 583, + 1180, 375, 598, 1191, 390, 613, 1200, 405, 628, 1207, 420, 643, + 1212, 435, 658, 1215, 450, 1314, 673, 465}], + Line3DBox[{265, 481, 1119, 266, 1220, 495, 287, 1224, 510, 302, 1230, + 525, 317, 1238, 540, 332, 1248, 555, 347, 1260, 570, 1167, 362, + 585, 377, 1271, 600, 392, 1276, 615, 407, 1283, 630, 422, 1292, 645, + 437, 1303, 660, 452, 1316, 675, 467}], + Line3DBox[{267, 482, 1120, 268, 496, 1130, 288, 1225, 511, 303, 1231, + 526, 318, 1239, 541, 333, 1249, 556, 348, 1261, 571, 1168, 363, + 586, 1181, 378, 601, 393, 1277, 616, 408, 1284, 631, 423, 1293, 646, + 438, 1304, 661, 453, 1317, 676, 468}], + Line3DBox[{269, 483, 1121, 270, 497, 1131, 289, 512, 1140, 304, 1232, + 527, 319, 1240, 542, 334, 1250, 557, 349, 1262, 572, 1169, 364, + 587, 1182, 379, 602, 1192, 394, 617, 409, 1285, 632, 424, 1294, 647, + 439, 1305, 662, 454, 1318, 677, 469}], + Line3DBox[{271, 484, 1122, 272, 498, 1132, 290, 513, 1141, 305, 528, + 1148, 320, 1241, 543, 335, 1251, 558, 350, 1263, 573, 1170, 365, + 588, 1183, 380, 603, 1193, 395, 618, 1201, 410, 633, 425, 1295, 648, + 440, 1306, 663, 455, 1319, 678, 470}], + Line3DBox[{273, 485, 1123, 274, 499, 1133, 291, 514, 1142, 306, 529, + 1149, 321, 544, 1154, 336, 1252, 559, 351, 1264, 574, 1171, 366, + 589, 1184, 381, 604, 1194, 396, 619, 1202, 411, 634, 1208, 426, 649, + 441, 1307, 664, 456, 1320, 679, 471}], + Line3DBox[{275, 486, 1124, 276, 500, 1134, 292, 515, 1143, 307, 530, + 1150, 322, 545, 1155, 337, 560, 1158, 352, 1265, 575, 1172, 367, + 590, 1185, 382, 605, 1195, 397, 620, 1203, 412, 635, 1209, 427, 650, + 1213, 442, 665, 457, 1321, 680, 472}], + Line3DBox[{277, 682, 1322, 683, 278, 501, 1135, 293, 516, 1144, 308, + 531, 1151, 323, 546, 1156, 338, 561, 1159, 353, 576, 1173, 1174, + 368, 591, 1186, 383, 606, 1196, 398, 621, 1204, 413, 636, 1210, 428, + 651, 1214, 443, 666, 1216, 458, 685, 686, 687}], + Line3DBox[{459, 667, 684, 1308, 444, 652, 1296, 429, 637, 1286, 414, + 622, 1278, 399, 607, 1272, 384, 592, 1268, 369, 577, 1266, 354, + 1160, 562, 1253, 339, 547, 1242, 324, 532, 1233, 309, 517, 1226, + 294, 502, 1221, 279, 487, 1218, 250, 473, 681, 688}], + Line3DBox[{466, 674, 1315, 451, 659, 1302, 436, 644, 1291, 421, 629, + 1282, 406, 614, 1275, 391, 599, 1270, 376, 584, 1267, 361, 569, + 1259, 346, 554, 1247, 331, 539, 1237, 316, 524, 1229, 301, 509, + 1223, 286, 494, 1219, 264, 480, 1217, 262}]}, {}, {}}}, + VertexNormals->CompressedData[" +1:eJx0XHlcjV3XjjI0mEMoySxzmeKwTElC5kSZQ6gkcxIKZUwkReZkltCAWkpK +8zzPdZonhSji23ufe/e++r3f88/9O+fZdmuvvfZa17r2dR+1TRbLTNpKSUmp +t5OSkibPoqLaSV6HCoE/zRPiN9Fn+AQ7/VDDIigboPC759V8sNx20IZ+dj6/ +xt9BQwzVppNGHs7MhrfOy8ro56JrVwqCm8RQsDh/WNumNEgcsr1HCPlcntQ4 +28urGBzy/WpeXUyEu22276efDXzeJpeMLoGOkWrxHQwjoJPfNtlS8vnlrjVp +unYl4PhgrovH2wBwEiUqLCCf7Wxv6928XQJSkv+ONfwwPk4/h4ut2HhZlQFn +yHh88LqSjY9f1JbNf/ymmM6PP8d1l6PzxyS9YfZMPadRR+zBk20GM3vay5cy ++yvH3hpC7Mfvrm+Z/WjQ6EfX57zOma4Xx9Q5s/U2bY9i/jluKPuL+Af923Y+ +Sj9fvx7D/Cg88ffGnpvp529zdJqoH5cu0F5CxzUfmcrG/95b3M54b0HLc8nk +65t7G4vh98Sbx/ctLgTFJXEZH0/kgvr1AD3HtcWwKUfOKrZvEbQ//Emnx6EM +mPnZoHudbgmYD3s9+n5MkfBMAofsz0oufUtBymFvcZ81YrjzuXhizMAo0LHu +FmYVVAozbJLHaLwWg260/9lq93fQxfa5stOwMojVOr90fpK4xc+XH/RxS9Yr +g0enAtj4ktsPXcl4lJe7yMa3mh/5/MPXmTF7oryXjCP2oLzOfmZPK/uR2689 +rNsJut5AlT10vbh83UG23sffG5hfTHLd2pMnwuW6TdQ/gt/5PrT4n8clj1Me +n9yP3K/cnwMsB+67q5jf8ixRntKJxo+BsWs3p5x8cNSb4NPndya4qfr4Xb1R +Co9XdXatu1gAeUWiUrUeKaAFRXuXXS2D6u0uO2JVCsEbcw/Z/I6GobG67WqM +ysH/z/7hdP+flGSXW14MBMU7A3LscspBM9w14JhbYYufAwOrsvrKVcATF2c2 +fq9u3xwyHifO0mHjW82PfP5W9iC357DpHGb/lrN3XhP78fdVEbPfousjts7+ +Dd/2kid67/7Jzovgd74PLf4X4p6fg5b45+ecn3t+3nv/VJxD43Kg4Wu2z4vs +VHrQ/eV+5H7l/jw4zOtbmGV2y/OO9W39C0VlcO+y7bltITmwfYnUk5ilqTBm +YkY29Y/dYL051xNyhWcsPMuf3mf7jwrYHaGzrOpEHlQdPzq36gSCzLvgDhed +K2G/2sPFgR/yWvzcs4tKmefnytbjkY//uOT1TDp/2PQec8n8GNFQxeZXOn/y +ArVnlfLKZ8QePL7iE9uv5kNzv1O7NTsOrydPTBukvoTa32q9yNfLz61wDlri +32F8d+bPENV11J8YciKD+fPoZI96mjcj9pTPoXnK6cndvfTJzzk/9/y887jk +ccHjgfuR+5X787JlkWbe3rSWp8afwStfGFdCaoXdbP1N6RDQqXHEmVnxENhj +urzPnioQF/S3kP+bDuPHzLvf4fEHWPJ2+NXzI6phzvTYno0TM1r8LP4RVHDX +tBqyPAeY0vHrp2Z4kPF4ZfpTVzr+XWIC0PmdzjYPJfNjVfsZCnT+EyczJlE7 +XOPMqD04Kfj6CmrPu3GHHlP7Pz5VuEjsxylO05j9rdbbEv/iK0OZfybOuDaG ++AedXg5i/tlz7i3N+zBTpmkW8SPueRrC8j+vQ7wu8XrUX2rhBJo3e0tpldI8 +l1D5OJTmN37O+bnk55HHJY9THp/cj9yv3J+HEvsMnvotvuUpOhchvfVJNQQ4 +fYsfvjMBop+vjBi+Mxh6eo14fdq6Bl6ujf/YwSWhxc+3Iy6IY0JrQGl3PBsv +eQbjL7OKV3S8QnuvAXTe6D1GdH6MHzxDhs5vCY/UqT1lDhYiYg9+3GHJ/K9g +kEXjHtrbqMwg9mOZwo2+1P5W623JP7yuCHWgJf/7NMVEUn/u21ZJ/Ymjdl1j +/sxXvHyM1vXP9mqptG5XBZp2pvlnikL5HVqHBnxdP47WGbFSQ19aX6Y/NYin +edNj1HOWF1cVmLF8yM85P8f8/PK45HHK49NkvF469eNB/afMTwUTnjD/3NT6 +WmhRFdzynHxs56BQ41o4uK5xuFLfkBY/h/z97vT4WS30Wnyvgo7rlBNFx+OU +m0PZeMOXSgl0/k0zdWPI/Dgqfzvbr1PO+lepPYVftu4i9mDkyeks/ovLlm6k +9t9svreQ2I+NBzI7UvuFvM/rQEv+n1UVf5X6Z+wU97HEP9iol9iP+ud1TiXF +PfD+ZyD1J05v9mD1i9vNcRPHS/x7Xud5feff87rE6xH/nudRnj/5971NypXo +ua+5rMjOO/9+4oN14TROfwcpsPjk33O/cn/y7/99fvmPPccmqZHxaPpddOm/ +xwvzY+v5q87JKBN7sHHsjvz/tsfMaN5SYj+ecjIu/W/7hfVi6/W6LzNbRvyD +yy8ZXvtv/wj+RO7P05d/HaW4M8voPMOhb0e1Y/4X9guF/QK+X7yu8zrP95fX +odbxLMQPCvEDPH6EeEMh3oDH2/lNy+tpXB45dp/Fs9b7goE0PoNE78dRP/J1 +KMu9YP4X4h75k8f/wvElNO+g5JmAB88OfUPn1zz0nNmj2WcJzeto7VbE7Dm2 +UH0etX/Ol86LaDwvUJgiS+0Xzi8K5xf5+RXOOwrnHfl5b+VP5P4U8jO2zs8c +d3IcyvMPx0mt8zOv67zO8/ou5EMU8iHwfMjzJs+jPH/yc87PPfc/j0vuZx6f +Qj5HIZ8jz+dC3kf+5Pm/lT0t+VmoLyjUF+T1pTI01Yyu12V/M8vPuYez2HqF ++oVC/UJev1r5E7k/hT4Ned/G+zUBb2BrvLEzza+K4s5PQ45dpXjj52hlVn85 +TuK4ieMlXtd5nef1na+T1yW+Xp43eR7l8c/POfczP+88Lnmc8vhsNX+LPwXc +g/zJ8Y/mofme1P5fiefPU7zh8fRTzn/hDWyNN1r5B7l/WvkTuT8F/Iyt8TPv +i3ifxPHhjKjOfhTHX99X25XiZ+PO4b4UT/qv+cRwp/CETtGvGP4U/I7CPrT4 +n9d1Xud5fT9dtE+fntvtE8uW0bp0tM9iVo9sSmQX0rzJ/XzvfDbL//yc83PP +zzuPSx6nPD65H7lfuT8F3I/8yfF/q/UiX28r/7Tg529d1w2i/hxuo1VI8bOS +XCdF6s/jogejaN8+xzfFl/YtZxRWlP9XP4j/Tz+IrftBbodgV4v/J88Ip3GP +nsZN5RSHXvO1ZfEQbBHBzuGikEwripuO33dm55HnQY5reD7kdYj7mdcjoX9E +oX9E3j9yHNa6H7xw+gaLyxVfggtonFovebyP2sP7EKEvaelHWq0X+XrfnlqT +Tv0z8JepHe0H47xeL6D+aeVP5P4U+A1szW+kTX7RgfbtFVcGsT5eq0MA69/5 +vMLfAT4/39fW/AbH8RzXczzPcWdrfoPjJI6beP1tq/ZsCa3r3M+J7zIY/uF1 +iNclXo8GNGWy+cuGXlSnedRMypHNz885P/f8vLeyvyU+W623xZ8C74P8yfkf +gXdDgYdDzr8JPB3+P3wd/j98Hbbm6/g5Ec4N8PPS0hcJfRLvjziO57ie43le +p4W63YJ/OE7ifuZ4ScD9KPQByPE/r0O8LvF6xPMmz6M8f7ayv+W887jkccrj +s5V//j9/IvfnEK8Neg5S/3lWlGgoy24ugu2LMl7McSqAT7cX2qtVFEKk95SX +9Hl4jjwbJzzR3DqBjQ+0av+Sjnfp6mBHxuFmj2JvOv5o8+CFdNyaG/669N+5 +G7RXoeOnXJvrQ8aj0YE/x+k41ygdNv+r+iML6Hj+1PucwcYHJ4WcoPPGPvLw +pv/uzzAFHzqe28ft5XYKdnC7WuwRxmPr8Xxe/nf4/Gc+tLmrA/95Rg313Lug +qhB6g8Ud+vnEVl36RJ3x4n30+87KprfpZyPPMDb+wCpL9r3w75E/+TydNLGj +TIdCMBxurlX3shCefEo2oc8Lmo1T6HOe1XRZ8v/R8Xcc+14Yh/zf8fHCZ+T/ +n3/v0lc8mT5dlezpPNCr4fZW+rnvwsns82+7dmx8u+sR/2uelvlb/d2W+Q+f +DruZaVgAUt8OVazyIfFiIVU5YoYYJt7RM9P8S/Jjj69PxnzNgch3ETfoZ3Bb +1duvbyGoeWpHKt/Jg9HLjgweqVoMjRFqyu1J/zDYN2HnjaQMqFu9aBH9rKsW +//R4YiFsGtjRtu3mLNCe5mbr+r0YPk4MOfV6VTFcH9Av3mBBCvweuDuAfl65 +U+FDwqEiUB9rfDP3USqEf7wyO9K/BJb9dIkqzSuGdnPWStesi4el6PiXftYL +f7hrd0cxBLSxTjA5kgCbxRc6jVlfCiZ2uUp755dA54pHNXoQBjddIxfRz1r6 +614q7RfDu5ffP6YmhYP1GA9ZlbxSsHLUfDb0TAmsigu+b33KF2I93xXSz//y ++S9FPD+I9i8IOfBODB+WOm0+MdIfVKpnfJUf15qX9hHxvtWhsw6bv9PzZncy +Pxaqx7H5x0RNZPM0LepgTubByfFD2TzLAtYz++tPZVcT+/G6xqrF9PNBn2XM +/mXbzT8R+3HO3YvM/vlH1Zl/GgZ0bUf8g8+O3GP+kfc5zvxTU6SWRPyDbnob +mX8C4pH5X3bFGOp/rA80Y/6XqyhC6v+GKs9bxP8494QJ8/9W64lsf2N+Ou0g ++4t+zz3Y/obeaWL7Wz5FfJTsL176a8v2t9+Zbix+OiW9pPGDH2cpe9DPY+xe +sfixrTOm8YOnXAax+LlUlhe7b0YRxMubzx+eko9/X1T8pp89HKpYfJq26VBJ +4hM7nt9SQePTLerQ+05LcmFehxUKW86Rc2a4L152SjEcUdB6nhKaB9MmH3wc +55kPv4qXj/0tKoHYO1Kv15J6U2FmcET7WzastHKUKp1CcKnhvZxpogLQNZdf +P7dLOmi5uacOUCsDm+NTm+dEFcDq54P6+t5JhAXu/XauLy+DiAGe7sumFkJb +1wn1nQ9EwKak+vmZ9uWgFXqvtM/xQsi+Z6hpXBgADwdq69eVlsMEgadow+Lh +lShIwEvDKv3ZePdOI4aT8XgRN7HxIb+82fz13ne/kPlx9S5pXTr/UcGeZRJ7 +kNvjWWXD7E/Imb+B2I9vNLcy+01mN72i61XX87Eh68XiAjW23vEhNcw/zzbv +pf7BxJyezD8BL8Yzf96c9oT6E43yZjN/jk6z8B6vlwEDUvqWrFhdBF+PJb+M +UiuB50uG6VfdyoTxqr7r8ywKwPn6VKlavVJYXjrRdVB1FuyvUy612pcL+9YF +r7O1KIM/llMLRINz4MTSPSX3dmSAp5P4xBvbcsj6eW7DC81c+DvGtUEqJAlS +ng9/o2VWAZNyd9280TEPvjvavynqFQVlL3boOg6rhPCrE2rXX8qDv2s9rllc +ewe3bS+On3CrNX/+RsT5n8/C+BzJeLwjjHfWPHKDzm8W1c+XzI9TRtSy+Rd/ +yWX22L2Y9JPYg+3dP76m9nQ8fqSQ2v9lgD61H7WWXmL2x4pusfXudL9STNaL +sxxV1tP1bs5csoT6p1OxI/UPjnzVnvknLdDyNfXnwXXHiok/sXDrJObPGxvP +Sdl4JUFo5uVddnJiOHTqfKfuNSUgX3VO79CnZHjdY/DmGwMLocsFBVP/aWWg +NzP2mH1+Cll3qIltbB70EhuqfzlZDt/uzx/6tTIVQg9s3PHAMxPE7QPn1AVW +wLNqhz51aWkQUD1787rIZBhpsGXC3IRKsJ7o7lzknA46O7Vj0DUa3hYk9Fj/ +pAoelC5NKJDPgIfmnSpPjAuErYddX5+e0po/9xVx/nz4pU7RdPywF2F5ZDz+ +3F/8ho7/pKR4kc7vLz02nMyPSSu+KdL5XYZv60vtqbXO30jswe31+5k91T8d +hlH7SwwP7CT247gRmsz+unortt6irSu2kfViquOXEXS9Whd2Mf9ci1lP/YNz +okq2U/+UTaj9e4T409JByYz4EyfNmMb8eTHnzofPlZGQ/nJq8+yrYrj0tn2e +/oVS+D1t2hb9s9GgNv12lb53ITz02/eyuLEMvs1QPn9bPRYeTTUyPG+ZD8d+ +nvBfaFJB6oxXjx++cdD3gUHK9/tZYDRgvaXSh0qoXxBX3P5cPMQmjf4eezcF +nlqorVT4XgXtF3761aVPAmSO6FV7MiUGDH0ip2dXVpPzv3lx3d4EMNZp38Pa +LgiiNR47PThXAz4Cfy7JG36iOwJ/PtFAh43/sGnYADIeb746xMY7DVdtpPPP +3K5fR+bHY306zqDzr64Si6k98iu31RF78I7VD2ZPz4GDelL7u+zxjSP2o3HD +4z3U/hs6wy7Q9b4+E2ZA1ou9bu8KoOsVjXJj/um0awT1D+aXhzP/aN7YFEz9 +qTjX/xfxJ+58sSCf+vPW96bkwRvfgfvNYofYWlKfTweaSn0vBQ2nu9cCewcC +DJo5JE2+CAa90x4atrcc1P28d/+OD4KPB/Id70Xlw/FjwaNyGipgoeyUW5ai +D9BJeseDhwuzYcKx5t7hplUQt73z3iNNH+CAk4tPL41UGDcgru0a32qQ0XP3 +GX05GCqXiH/oPIoFqwNKWk7BNRA20nFN3x/BsFH37jnzrQiHZo+wMt9dC4cE +nlfiZ3/RR4HvdZPW3kjHF402puPR91PVHjp+RLjSCzr/5C/+9WR+lG86w+bf +08VjO7Xn0GmPF8QetH7xSZrac199J7O/d/exd4n9eGK5bB9q/9jMq6fpenuB +sgNZL+ba7hlN1yu9ftct6p+eQT8GE/+gUY4R889Qn8vR1J8WQYupPzEtetsO +6k+hb5GKOTjg3YvOxZDc65HXDqUWHljK1iN2/pmRRXAlx9R21a3ylu+vzuk+ +5VdFPjiauF06OaKFZ5YK0ldW1z6dDfcGn47v61nV8v3BI/V7Nm5JhV918V2m +NbXw1VIdXv50L/gaC7/ejVLOV2jhvaXan9imdc0X4eaQ+b1LPvzneynBz5Jn +C38uZfI1bCQZjyOuHv1n/IxTPdzI/AgNC/6ZX3VT9V5iD27S3fOPPdekG0cR ++3Gvb3zcf9vvqppH14u10X3+We/GG7K6xD/4PWD6P/5Z3FxI/YnRSn8fUH/a +3ekdRfyPCjo7WDzrnVrF/N9Wsl/YW7JfsEbYrxmbDu8j+4ux3iksnr8s92Hx +PG8hXCPxgJlNvTxpPP99eEmJxoMQP3hCEj9wWIifm+HtXpJ4wzvLXtB4g8Yf +h1i8JVk3bifxiS+7K7F4/rzNi8Xnv/y5v4jz52Oij6+l46dI4h+XbBzA4n/d +7EAvOn9Z5O1qGs+hx1Sn0vl1rg3eSu05LmP6lMZzxxP7ZKg94V1TmP365eLb +NJ7FH1xZPO/LibGk6x0YoMPiWabtOxbPEyTnHUWS845DhPMe/yyK5gd0rurp +SOO5aPgVlh/WP1YIIfkEC+Ne0nwCkaPnsnwyVZJ/sKsk/0CukH/mf7xD8zN6 +b7q0mubnBdE/WH523xyhSPIbbj0qn0Dzs7eFEctvVpVLSkg+xCOzFL7Q/Hxp +vswqmg8/HfnbRPInBi78WEnzs2dTP5Y/dRbe1SP5Fg9NeUDzLSywTGf5dpLA +n/P83Czw527fkml+xkmSfI7Tqt3YeCH/42dJ/sc1Qv6/1308sye9cTHLz4PO +R7P8PNDTgtn/4syGRJqf25V3Yvbv9nZ3oOvdF2tP6xEW9nrP1nswaPxa6p9u +A6pZfj5sUcD8c0lS7zBVUu/QWah3a6Q7U7yB8Rp7Gd64rR3K6uOlh0/0ST3F +/ZVvN1G8MVN0iNXTWwP17En9xQ0/nLdSvPGs/xpWf2tWT6L1Gp1Sc3ZRvNHG +qXI2rdeTpzX3IvUde241MaF4o3ehI6vvE5p2nSd4AC+oiCMp3qhN7dGT4oFd +C5/FEfyAKYvPJVK8MfvkcoYf/uXPfUWcP/9R85PiDfTP0EiieOPHfAneGOP4 +4Byd/9a6X3R+jCwXsfm1d8/oTe0RHbCj+AeXfk9h9jTcMB9E7b8lqqJ4CW+I +J82l9id9nWxD1+sSYkrXizu6VTJ8pSDBY+gjwWPYVcBjawV/xkj8iXcEf175 +dZbiPWxwPE3xHoy8N5zhvccNP5YTfIjqrp0YfrZzWv23huDDv3OzKZ7EK/V7 +KJ6EPld7MTy54doMip8xyO8Ww8/VXdMZ/hzuJ15P8Cpe37GW4lWwnyrD8PPT +l9FuBN9if4WD/hQ/X6k4v4DiW5v35lUED+O3L7M8KX42iBymQfHwv/z5GxHn +z+8HLq6g41d5KLpT/NytsJaN1++o4kHnN+wSQPE5njcOZ/j59pWBG6k9aqoN +9RQ/D3J9wuw5tzSZ2V/l6llE8fPsCTvtqP2mx2Xc6HoH+rqXUPwcFm7C+oWn +gn+GSfyD9oJ/PvVofkX92W6GB8PP82xnMH8er7tH+xe80FmN9YMTM53/ux/E +1v2gbPNF2h/hFevltrQfzMDKvyWkPzKvGEv7KbQ7kbuJ9oOmzT9TaD+1d/Yo +2n+h+FMo6wctHnZg/ZfRkDzar+HusJMVtB9sVpjL+rWe3WNpf4duB34q035w +n9Gx/+4HsXU/OFXSP+J7Sf+Ij4T+Ueg3sf4q6zdxs9BvXlJxZPaERDzuRfvB +Ng8dmT2Ndt+Y/fIya41oP/h5qkIatV/of7FI0v9iS/+7TfyM+ud5UC3rBzM8 +lZh/ehkZvqP+fJHu3Yn2gzcsn8RRf6aPXn2b9OP4fV5COeWLftyaxvrxE01q +fUhfj52vR3+mvJCMv+0g2tePH3T42fHEQnQ9cpDyA7B/4QTGD9g+tqU8D9pf +6s14ntUGcxjP4LV1ktnujmLcu1eN8TkrZg5lfEWU9lnKe+DX+OWU94An0RsY +75Gmm0v5E5ytucCM8jAnDdzqKX/yL3/uI+L8ueqQCx/p+HuKMgco32LwLquO +js/CX2z+g4GDgiivUj/Gis1fA5mUP8Gz/pvjKH8Sc/0zs2eVhKfCwRKeCj8L +PJWGsF5nyXrxgLDeePOXStQ/sh3HR1Deo4/rW+YfUb8/lN/AYTc3UP4N3etL +mD/naaRTPgS72RZSPgSOnjnH+BCBl8PWvJxnihPlZ/DTZVlTyr/d3PKe8TMD +156kPA/GpujFUZ5tgU8+43n63upB+SKcIDVPhvJpE0bnM74o4rJin73zS3Bl +z+JSyptJP5RivNONy2sof4XN57QuUX6s4UXhf/Njgp//w499N1d+SseP8b3p +TPmu3Jn9xHT8i8hrlNdCqWf9qiivtXKQFpt/uYTfw7+zGb+HywR+b+FO+dPU +fhgQH0N5qlOrA5j9v+3asPVOKLpK14uG91UX0/XW/hyyi/onYbHMM8o7vezp +yHinmvHXcuSvFbQ8rdua7NBXFcMceQ0z3SuFECmXHzZMIw90v7xs3p8rhuxt +eUNPOxRB9bF2TRNDM2HX3y2Rh08Vw9lP81YE7RBDu65SLhkVKTDE8N2BoG4l +ECfWmzRJoxgu7dAaZOwbDz36Kl9ddLAEzA8FtctKLYZvJgcWBdqEwSyrHZub +X5XAzI0dpusuKwGLDMPLKx18Ydoq8wyrYDLPP/zhS5GzwB+OtSm9IW4Qw53l +2x4eHe2Pzz7NeHrldym4JCX1eFEthkaRlHbp9XDcPOCPlOLhUth+0H/IrkAx +jDbdmFeknoC4Waf+aSzxf1Wp+TwzMbR/dL96a7dU3O979d3ndiXQef6eSG8Z +MSj3mlw23ToTH+Xm1GmoF8PIQcHnvc4UQf/IQ2t/mOZiw4qQ7araYkjT/tyU +npkLi8ZHD79hWQhLGyJLF6kUw5JLP3VjLPJbnkGbnU90+1MMY96J3AebFcDg +sO1RAwyyoVjH+k6nKII39LSnnjci+bp/aN4k/TSwqTlpu/gQyUs/0voNnUD2 +7bd9s29aArhdOPFI+k8p/By//ur4CrIv43fu+tbzM3hHzO4pWlIG0tYrlc32 +Ez9sH5E/aIw/aFmnlp7cUQYT/+HffET8vlKxfvvUnZGFYCxjXzW6OABNB15f +V+5TDrO2HTm3NqYQtD2KUpVmRGCc/9Q/Bcrl8EK36bDyw0KI2eU57MbiRKzb +WXjAZiXJt6+Hx6htKoSTFQNSsvam4dtbfy3P7SyF4qXPp86WLgQbO4VT5fLZ ++OLh1NKMXSXgGZJkluNcAFWKtz8/lM/HsoymGQVbikG1sPjKxt4FYCX6uGhi +fAEeGHr0jJmRGPTNZ0wTlWXAgcNmR5uhCDrKfG53QbYETpfv7GotzoJVRmNq +a6cXQJ/jAVIF3Urh8J29Ji4FOS3PYembixZ2LAPdpq9lDTF5sO1vh9XBPukw +Zt28N9PyyiBCZehB3UjSB3oFzdjfnAiv9T5a7nEoh3e63XIdLhaAwf7acM+3 +EbB6+3Pxuh/l0O2m6gzrUYWwMrqrrUJJAARovNY4OagCDv/Dv70SKQr8m8OZ +4jYaA/Mh0FD+tNGNd6hc0TtbtLMSVG0LMkZOzget3aZnf+RFYn9Nwzrv4ArY +ZTF5tNHgfNDevGihpWUS9tKM6tozpxwcwz0N3QvyIM6gaNSHlHTUsddOnRxf +BppPat3Xz8+Dsd/UZG1cczAgaMvMLU9L4ZyxfG3i2Vx4uPZ6/vTcfLzn42f4 +xrYEHDvf7dvonwNROz/euvKwEJeK58g9X1EMi0eueSO7Khl6LGucothQBFqP +coNiM0pARbE0S1UzFR7V5X6r+lEACk/j4rTlyiBczsXmgHI6rAny/+GzKA/k +G75uXzKqHMrs8Orutpktz5iA376pYytIPpDPOxqfBfG4SitGKRmCLhTJ1LSt +hJ8v1i2LNs8Bp57tHXRWR0H4oLIpXlcqYXrUhPjdn3LhcsHJb3s83kFG4PI/ +u9IrQecf/u2NqEjg35rKfy3sX5gBb427mcRNDMR+jlHDbstWw4G0t2edpmdC +NuZXGG6LxjELR1TO1a+Ca2ERE94tzgTDZXLXDE4QPJx3e4qefiXMS5yvHTgg +E97E/5pHnniyT5uTgQMqIN3/YVv54Axw3vDmwVPZPHR32uninV4GzT1w5qbp +GdDZx3jUtbsFmDvpaqSyQykMUNw5edbddFhpsT5ul2URPrphp7l5WgnITPg6 +adi2aJB+hXPgtBjWymWHnrcthT4vVlxY+SKO5OO3rnpOhWB2UkFBMaUM3Ct/ +f1dxToBgkzt6k2bmw5XnD1Jl1SogbVJyg4pBEjgPsDo/dUgWVKknLNqytBJu +zG2ybFZMaXnW5D1vG7OkCoJVtG6Fv04F015J1e8SosHnuYO0D/HPdIUbeaVk +H72MN0+WmRwIoldfNe13VIPfP/ybr4jrV8OvzSvabpYIo8xV8uedCUK7GXK/ +G7fVwJiEgQ6X2ifBMb0tp2e+jMGwJLVMvXvVsAzehHlsSILtuHppxI4UHOfn +3HHThSqI+JqxUOl4Egw3Shv1XpSFm1DasdvcSth+ynoBiXuY+3UtPQfo3SDf +jcZ/wrcBc8WiJHjzWHb56IUED16+FaxnRvq72EWHD9UkguOY6Rnf+4vRYqtm +f3npUpgovrs1hfSryTZrd50uFYPGeaPu3atLYVrftfdyioPBrCCot0tjITz1 +Ch01YUM5SB/Y6XAnNBRuPJfZdvF5Prwu/VuvHVcBGxZZPe2aEA7Xr7Qd/fVP +Fiw2bJoybVgVhKlNGiyqj4RJ9+pPj8tIgeSje3JmLqmGTa8upDS2iW15ukea +rX08rgb+vouyK90WDwprDpavOxsE8ht1j/i9rAH7f/g3vxb+reHRd9XC/qHg +LVZTP2eOeF35k83mtbUw5tOda9syPoGd7OFJoVdj0dao+ETo1RoQN9yOWawV +DtsuiS88IXXNf9W6XIeD1XD7idbFKK3PkJO88mNWp2xMtA0aXKNSBcqJO+dv +KvgMb82edFa7kY+zrdoMu3C3AvKTomneh83pfrQOYK8HXVj+T+tvovd8QwQo +e2wa5Xqf4FP5k7fVPUqh324t/40fHKFd9InDfzsVw5sPLseGK5WB2tSoN8le +12F5mM1FlRFFELI1zn6nRzmsqU4apzftAXyarhgQWZwP72FS1INBlXC86uyZ +fbdewMF5nb3U9mfDF4PodSWuVbDlVdSbieWvYcPMo7qrFqWCV+aoMP2Caihz +e7ir25S3UHAjK+lOSCw07x+sfa6oBk4eHlc2yQJbnrk5y9qeseO8Gefd/sO/ +1ZRtjZ4z2Blsdve+th8Rv/Ywrt2PtfDeVrlzxe874PZlZabMj1j8uO36uwMd +asF0+qv5FdMeQ0LR7Ng+G1OxPiR8wtraalgVPmJp77feYDtP3WG6dTbu2eM6 +4eyVKpDz7G+R++EV/Po0bNzyvHy80LWTfFvFSljqetUwe5IvhHgmYXCfIrTY +8LNHp1PlcGHhQy+Cb+DyvsceBO+gaIPrE4pzLCXfo4vke5gmfG8/8TKdB4Pc +r9F54PT1wYp0HvkvX4zI38X2Z5PHk78LZ+omydG/+6DjYGonKvePP0XshA2B +1czO4SEP6bpw2fd50WRd8P7t0Il0XWcbMnsSP+C2R6upH0AerzI/5BZOSiZ+ +w/7bPnoSv8HmeUOY314J/Bvnk1UE/m2dZD+QP/OEfVk/rGAV2Ues1nEJJ/uI +o5rHz6P72Fnq+n2y71hb/Vqb7Dump3cLp/su26B0jsQJqpgXeJI4wT5He66n +cTLUNYbGFcZZFdC4wnRb30gaV/e1WBziUkkcYqgQhzpX7vqSuMWLJvusSdyi +RU6wLY3bnFVPFpA4x5G/jtE4B+mm/SzO4yTnArdKzgX0FM7Fk4UlOuQc4eHY +fV3IOYJVcmeH0nOUcnOIAzl3WHNtdRg5d7ApYT07d3+UjseTc4qzp18+T84p +yIgOsXNqbpR8lZxrbH/nGD3XoH2ukZ3rG+1ch5E8gIsXZ48geQBm5BxgeWCc +wL+1Ffz8R+DfVIzm2pM8g3/mWNI8g1/WabE8s1SSj5A/PYS8dLE4RJXkMXy0 +/slxksfwkEVeLs1j2xaHeZK8hytc5qiTvIfPD0lPpXnPN8TUnuRJvGVz2oTk +SVwb3P8bzZOjJXkVd0jyKj4X8mp/SR7GJEkexglCHo7f09+a5G2sdjZPJ3kb +mgYFsry9+ZDufJLnsZ/5w2Ukz4NcYi+W5xcIeGiHgI96C7jo7szSBaSOYHJa +7FhSR+Dj7FsOtI7IBq/7ROoOOho+XEbqDswXn2d1R+F70FlSp/BeboUtqVNw +enk7Vqem+EsVkLqGphXPaF2DnoM2sLpW+g//5idqEvg3l1N5maRu4lPco0rq +Jm7R1ZtI6+azZjd3Umdx1qjoGlJn8ab9BhlaZ10k9Rj5s06oy7b6+t9IHUe/ +mbVnSB3HFXOKFtM6fkVS9zFIUvfxqlD3PyxefZLgBMx93uUawQn4q96O4YQo +pfqJBFfgxak3KK7Ag1adP1FccadDV4pDUOmlHcUhUKlqw3BId++Lcwluwerz +T0YS3AK303oy3BL3qJM0wTl468Z5inPgdJIxwzmhj58xPPRZ8oTCXe/sKS6a +4ew7nuAoXNdtnTvBUTDHvYbhqPHLrR0I7kKHpon1BHeB2ty9DHf1KD+oT3Aa +7lwTZUBwGrz/s4fhtIP/8G++ovsC/7bCdmU0wYGonFP5neBAbOy84S/FgQc+ +yi8luBE1jQLtCW7EPg/3a1Hc2HPSrhyCM7GrqcwkgjPxyumqdhRnFkrwKPJn +vIBLD4SXWhMci++3/KE4FmOVtE0pjv3o2yeH4F68aRdAcS9i1n2Ge8szwl4T +nIyd5OS1CE5Gt++1DCcPOdO5H8HVeEi0leJqiLxhwXD1vZTpNQSH44DgdxSH +g/vIYobDMVd0g+B2PB7bSY7gdhj34ylQ3K49WGU1wfn41vzSGILzYXi71Qzn +f5NfyvCQjIKmHsVHqjpfWPz/3fsznfQReDtp3xnSR8CkgO+sj3C78FyK9B2o +v+7NZdJ3QGzRddZ3aPzDv70RodAPHu75czrpa3DdNEXa1+DHO3Gsr8mWt8xx +oDrVK2M/kz4IzWN7FdM+yD1rP+2b8O3FedNI34RnVmjuoX3TQPmz5aTPwm3i +SStJn4WnekewPmu/pB9D/lQX+rLu7V72IH0cJpeq0T4OPSI+/c0nfRwqnQDS +92GTy30b0vfh6IeTWN+nE3D4KukT0b+T4ULSJ8KOsdtYn5jztNic9JVoO1qF +9pXQq8MR1lf+6X2U9qEou02D9qFw+9xK1ofaynvSvhU7bEtLJn0r1Jh7s751 +ZEES7XPxS9vNI0ifC01dnrI+9/q7DIaHllnOTKT4aIEZsPw/22gD7aPRpEa/ +gPTRYHEplvXRUv/wb69ESQL/BoX+KqRPR/WL976SPh1nHlxfQvt0r7f3aF+P +P09mbyZ9PV7XdWZ9va+EB8AyCQ+ANwQeIPT4Fcob4JD3XXIm6afhp8yvjDdI +6VhNeQY0jiuMHGCQjW5q/RnPsFjCRyB/fhB4iS0rvzamZ+ZivMU89RuWhbhn +TWwJ5TH8RFUpI9oVoalXF5vJ9fng8WydaqJxEWhYWV7wOlOEvY+Yr/lhmgsP +bh1hfEiSzNAobxkx9r6zqWS6dSZ82RrG+JOX/icp34IB28WUb4FjyQWMb1ll +FTl0V6AY95nMzC5ST4CYJnEd5WdUxuVRPgf3PL09p/R6OMxVkmtD+ZwrAh6y +FfARxz8n/uHffEQ/BP6ttD5xmu6yEiz+o3l8pYMvdvgozqT8Ug+zHu2zUovR +uXTskkCbMPzlXr2J8lEPg6wpf4XSMapqxr7x+KJ6GeOvXE86U74L11f6OmdU +pODqc+0PUr4r+tQCyo/hTaezlB9Dk10hjB/LsXMw171SiErfPn4appGH9RMr +f1M+7aNqEPUniIyPMH8+TRvF/FngmM++D9N5cIR8jzPXh7HvJy64wHi6CTYd +c8kTzY7IM75urmn/PPp5la17Nv3/XTyrTen3ugOM6XjkT59F0Wz8xdEn2T62 +3TmH/l20dbvK5k/23s/41WIzRV2qN0tbF8L4VYF3hda863AJP8v5Wrgm8LRu +L5106DjZ2p1xdNxsnQHNbB5Bl9aiUxP0afweSLgXarkP4vdwwr1cy30cvwcV +7kVb7kN1cv1O03voR+ajQqku4Gu37jvp/SnXAfB7bK4HyE+7x8ZPaJwaQ+9d +241sYvfXqhvd2PxTpg5i964PKw3Y/H8DRjN74uwetKX3WlkHrZg9zZudmf1P +T89l91pTLmky+29LdGPgL9GR4RpBP2agLdGV2n+zvkV5bstTJsxvXD/K9aRc +R+q5Wpbx2kabDzD9YJ3Nd8Zv8/sbru/j9zhdJfoq2CjordQFnRXXS3H9FNdN +8ftj4T655R65dvULdn+fMHrSA6q/cP5rxe6puX6C+5PrKMpuv2fjDcs82P3/ +6YkObHyr+ZHPf+lMN2ZPrpbmQnp/qB7ZwO5VVYL0mP322wcvo/ddqXdesHuu +YfmNbL2jp+Ww+5m5t3uw9cZfkGV+0/PIpH7DuIdqzG/dJTpL6CvRXWKIoLc8 +f3/wEXrvcrjzbHovASuG9D9G7yO4Tpfrdrlel+sjuV6S3xNxPR/X93FdH9ef +cT0a16FxvRTXT3HdVGZ5JNNDLOk09zDVv2wYdo/pIrgehfuZ61K4foLrKbiO +gt/38/t/fu9vcLUN1YfB6D5wgt7fjvzqxe6pZ20TMfuP3D17ld43ek0qY/Y7 +nkC2Xg/dOnYfmPPDiq23VqJnhY8SfWuLrlUvbx/zW5uFOf3o/cMo6+fMb01z +G6/Teyz3eAOmX64JqGL3QdL27RPpvUv2Kg16jwGTd5/0p0+uN+X6U6475fpI +rpfkOkmu5+P6Pq7r4/ozrkfjOjSul+L6Ka6b2qLsNpzqe7ifvc6VMp3PG7ej +9+h4T1C4QfUd/dySmS7ll7QP1R/AmjldulE9gpXRZKZD4Pf9/P6f3/s74DFm +v/UMbXbfO7cwh9nfar3I18vv//h9IL8HjJIek0D91jBZld1fRV+MZfc+uRZj +2b1g/0kr6D0huPSUY/dxgeMSqO4ZziZoRtN7o5Vy+//QJ9fvcj0v181yvSnX +n3LdKddHcr0k10lyPR/X93Fdn37dC6Y/y1eyMKf6ryPuzUyHpmL2xILqpbif +8+6YdaU6paUKCc/p+MsBI82ovqZiQgjT+ViGatbT+Y3PylO9Hnos/SLR6Qn6 +Ca6n4DqKF4VnmP2yJ8dS+/Hxc21mf6v1tuiE+X0qv1/l96r8/q/lPlC4B8x4 +d4Tds9p6yL2ievPCxz070vvQzpJ7O36PB/z+Tjqqay29/36b+p7plxe1U2T3 +4Fy/y/W8XMfL9aZcf8p1p1eyguqp/sZk3wOml8S3V5hOJjFq6U+qf9oTYkz1 +SlC64SDTQdUOc3Gh+jPu5yEvTjCd2O6MX410vPLMyqdU3+TadSQbz/U9XO/D +dT5cj8L1KVyXMkF++ltq/87MTkxPcVfjIdNRtH3J9NkQLNFrt+i0+f00v6/m +99QLTq8rp3778S6L3X9urVdjfguR3ENDzKjH9F4aPr7+yO6jOZ5r/f67ruQ+ +ld+vQo5wr8rvC1u/R8/1B4IeoUWHwPUHXJ/OdQhcV8111lxfze8bWr9fz/XB +q7e8YXrhpOEnmE6Y97Gt37vfe3T+aKqjSjrtwXSsOTVTmD6K87+Crgq4norr +Nbl+k+s2Ob/G9ZucN+a6Qx4P/+oPOe/J//sCYbfV3On87Qz3GFJ93Em9Zqaj +4+Nbv9fPdWBcF8b1YK3sR24/1zNxfRPXNXH/tP4dgMqTJS+p/8Vm95nuRmfS +QY3/9n/r3wd4J3l/gL9P0PIeQav9Rb6/XCehYdiL6SCMFpjW/3e8tf49gfjZ +3tdpvE347cXu81da7Sz6H/HW8jsDgyTz48mlTey9li9LjrP5CyS6Abwu0RHA +D0E/wN9/4O9DcPu5Xp/r97lu31viT3wbp0v9Camp25k/l0n2BYV9adHpSf+8 +7UX1jj3DF7L4meWMbH8Nu3bUoXpTHgk933RjcaIl6CPXnXVi8XBnkAaLt+X1 +0op0/vddvebTfff/euASnb9Ffybo0bgOjeul+u1uYPuo9RPZPh6UnEfk+iB+ +Hrke5fCEMLYvY54/qfsffkPutyJJnsFISZ5p0cOcMSyvpLqKnKPfWH7ueTmf +vffE3yfh75fwfMXff+DvQ/D3IKwl+RAnSvJhi07voeJGpi9XCxb9pPn5gMEw +lj+lB9s3UP3oXi25ZzQ/187dyPLt06ycG1S/y/0ccLwzy88fJPkcrST5HMuE +fO52QovpI4fZSLH8rDtGls3P9Xxc38d1fVx/xvVoXIcWHdxUTNf7x6rNdZqf +nynuZeuNlNQ1FOoa8rrWym/I/eYjea8M+XtmW4T3y7hORdCtANerFDrfUKF6 +rB3Flb8p3rh67tkOWn/5+yT8/RL+Xkne8ylMj7jiTW+GN0bZH2X1nev1uX6f +6/a5vpzrzbnOnOuhuZ+5Ltrv0G+KN9Dudp4JxRu743+z8VxvyvWnXHfK9ZFc +L8l1klzPx/V9XNeX9rOqN13v0Vu7GN7QC93I8Ea6BKehgNPwqoDTWvmtRefD +dVSCrgq4nspF8n4ghgrvCzYL7wle85u0herblqzswPDz/VEfmE7PX6KPxI0S +vSTUCDrJvT/Gs/dJqn5/H07x84qpDQyv8vcf+PsQ/D2I/e3vUTyM+6elXKf4 +edbRGIaHHdvOo/r4Fj9HhRxh+Jnrobk+muuiuX6X63m5jpfrTbn+lOtOuT6S +6yW5TnLDolMb6Xov2q5m+Hl87HiGn1v5rUWHxvVSXD/FdVNGkvcwcYHwXuY8 +4X3My+3W76I6qiUHnWlfA0+vebO+5qJEH4lyEr0kZAo6yYsSfSq21WZ6Vegn +6FRT50UyvWyZirYd7QdrOh5n/deN5Ez2PonhsZKztB/UHuvI3ispDpKm/R0O ++Rp0iPaDh66qMd240zbtyVSv34Lr/ig5035wykgNpi9319xoTfvBooc32PgH +kn4TGyT9Jp4Q+s0zG9OZPRsrRlrTfrCseMpIas9uST+LKyX9LO4X+tlW60W+ +Xq7n4/o+ruvj+jOuR+M6tKoQjSiq8zv8Xp3xG/VDdFmffvBy36dUl9bz3VKq +U4O0tNesT+f6S0GPCVyHyfWvgh4WuA72kNZIpj+2rrJeRPkNo4EejE84laPP +9N8HzRQ3UH4j/FMz4x869ldg+nuxSroL5Tf6mB5ifIXrzcuU32jx8+Q2Vxm/ +sXJzbzZ+T/eoJ5TfeHpPgY2vWTaXzR9fG7qR8huZdqUS/mTaeWbPqbHmOpTf +yMu7xfgW/v6b8D5cy3twrdbbojvl+kiul+Q6Sa7n4/o+ruvbUVDD3gtt7raM +8XKDpvdn/NK2hCKmWx09aSzVscLTL+eZfpXrhgUdMXD9MH9PjL83xt8X4+81 +8fec+PtNcpL3QNBe8l4ILBLeB5n/zfgtfW+E+zNfcflDyr9dk7wHhXck70Xh +O+F9qOmhcr/p/J9VVP0p//ao8Qmbn+vIua6c68lb2d+if+Y6Xa7b5Xpdrivl +OlOuL+W8J+dBOf9ptCWy6aZlIdz7WtU1PzMXBtevzZyvUgxTRutfkp5ZBAVX +VtkuLsuAGd4iQzvZEhiofStbpaEI+ga+2aO+KhnaFu+Xw4wS+LXRdPjC02I4 +1mzhb78tGlRnV+y2ti0Fy9+z37uUiqFm+faZXvZB0GWV/aY21aUwRtA3egv6 +xueCvtFJ7+ZFL3oPfWmw3IINEdjgVtlxkEcpyHuoj1ZUFUPgXh/NITWJ6HDp +RU0badLPrqgtdbYsgoU1C84V3EnHHrv0NhlNK4FOyj3N3j4shKGqdVvv+efg +hVOY9HhFMfx96D1ueXwBFP8d8XV27wIM2zCuH71P+SzhoyFHwk+38NKn7UIP +NU4vgNAls8Y4i7Mgo8OOwsRupdD/XdRPqZ8FYHE9I8lAMxU8O/SsGSFXBu62 +0otMnQrBeskufXnvOLBXRoPa5DIIHnPX3a+xEEQb5GP9S4KhbVuf1103lAMI ++kN9QX8YL+gP3QYe1Fu1kP7+wdMN1qIkDAUbv1lmZZBgMt8+824BZIf5yX8W +ZeDXtbN3KjqUwlLPTntP5ubDwMsXd4jO5mJuZMgnH9sS0N3bVb1IPh/mLJlX +5ulcgBqJAV2LthTD/t7BfabsyAXtL8FeZ88UoYVuiMxAbTHg0y56BYvyoK/D +47vPlNOh5HOa3MRR5ZA7yuXa5plk/u/vpa44kz5928iEjAEVoDk5/HTE83x4 +tWCrb+GnUJj68atW97gK2CncW+sJ99j8/vqRS6PFSDky/5ddZ098yMBR+vqG +T9PLoMuUv69HXcsBt59HdF/r5GHi7a71Jk9L4cf1FSonFbJhythV95rbFqKN +9L3V+btKQBRj8+eqdSb45HSbc15GjDHals+nqBfDuvyjJ68MyYL1g12t7AyS +4LpoafO0pZWQHuCoc+ZvFtzr+kL6WGI4JMl3n9Z2WBXMEvRvb1vp395bnui1 +IDUdOg96uUqlIA+z5cdZT48vg3Mu7asP7kuD0ybPHAo2FuK7iX7nXXeWwmdP +r/rP3VLhRf+EOQPNxDjdbFZAQrsSSGpKOfI6IwUm9k6wX/s1EpLH7/vYe0k1 +bBZ0X/ME3dcLQff1+XlETDv9RJjddHXKN69C/GJjvd9hZRmcXvJsstbIBKhZ +eOHb4kAxfn2wwdwvtgRSBf2SiaBf4jqNHaE7G/RuhEPbUbPa36oWI6wU/e53 +WHh/MN9bxHXHXG/M+seZPqKJ/+t39o69EnG9J9d58vtU5Vb9PtfPTWv1O3u8 +X7Zv1b+z7z/4iYYLffcOoe9m3x/zE40X+us///yenp+I6xSa/vk9PV+RqdAv +nxb6ZW4nvwfm97+8X3YT+t+VQv9rI9y3ubTSI/F+md+/8Xu3WyrdmmaIA1DZ +RsvZNrIQ9pT5zMr1KYdBfTqOWe/+Dg8bGuRsGpgPPwreqw7fWQldA2FvkkYg +LhxTYhVcmAEfzdVjTstWQ9eyqmjvU0G4c6lM3QzzRPjrbvutdBtZ79V9U4bt +RMxwuGXlNCAUmldtSl2/thayx/YdYeUYhLe2vBlltS0eH9VUPY19WQNfxo34 +rDshEPfZhCkvVU7HNR3ja57tqIYuKqN/RxF7xqlFpNWE5qLyr7Id19Mr4a/m +08ofRQFo2uNa0+JRhZj+zXzy00EVoKO9PiFmlD8WdrrzdgXpm8xL7t25taMM +LuyNkPc/7YsyPseew7ISFE0b/sg2uATCF/e4UZ0biU4Xn7XbODkf1NsuNr0T +XAFy9guOrzSJxksXFObvm5EJr5d1WDBOvwp0PxyZdPN5DO5xPKCR1iEJAi+G +Rc26Vw05Y/9aTLwSiwFnpzV0zP4EGSvVjeKu1sDPLNXbN+Oj8cuSzjrar1PR +7fDKcTnEb2eSCk5kr4rCGfeWNmqZ5+Bll0vB4iuVIKrt2Nk0IAI3PUr+u/Ri +AR6bbnzD9Uc5HAq23avc8zM+0TrRrntFEVYVFy/evITgqPbqiSttwvBKuNvW +2NRiHOXwqbbL6xLoXJjhe+94Msbdzj66WT8Tfp2L2zdXvxIW7apbfsM0BVOD +n9XEb0wCg9+XDLdeqAKlDZen7+6aiiGXHuX9mRYO4xb2+3vnYDX8Wux/e7tS +Mv5RTRw6ND4Lz9kbX+otXQkzF+0vbtOciIs/1fioRObjjYcfsu47kPx/6JeX +cVoChh5ePExuQhFONdT2VP9TCr9Xu2mN9Y3H99NrDqhrFOP3/paaGw+WgL/7 +3e69RFnYW3F7RszxJDgV6Xe279xKyNnqs6pZIRsTcr5apU77DHUnz++T7V8F +9nPD/c76pKO65ZDZETF5qFE618Mgrwy04np++rs4DR329Co9ZFSIRyO66+08 +VArb22SYB1SkoI/pBe03O8Q4LVc9ObZbCXyxHh9adT0fcYf8a7PCz/Aj9dyQ +W3crAA1WlcsaZOPd+caa/cwKMPyhY02/qBIITT7QdnAoQdl2c+YfdyjCzo7R +r06eKgaRuE/wAI08XGT+8MG8K4Wo/Vql15FcMUzYOJLV5XnZy1LpvXHg3WBW +lycJ98UThfvincJ9caLk90TASfL7IvhH+F2R6MHr2X2zakwlu3++daGRzeMz +agz7/ZHtW7LYPfCO7sPYfS6/P+b3yfwe+eO1NffkOheDydysDis/OYL5GKud +/Qnek65bTO2HuihbT2I//Gzo1pvaPyNh5vcpI4rg5fnyvpOfXYd+Kzo5r/Qo +h7tjP8Q861MEw5rOl0dN9sUd0b+DlE6Vg4263N9BoZkQXqOjS/wDzp3rmH/W +3c0qIf4Eu1v9qD+h29DjtdSfPW6khjYV58Name9fjsADuLSydPfJQZVgGO8i +NTgvHzwn37qYG/IKC+Tq3PsoVsIag0q6X5A7teAN2S98daJ5MN2vLwVqlmR/ +QdNzNt1f+P0hL4nu7zyL1yEkHqDy/BYaD6DUsIvFw6nbA/xJ/ECfFyNo/ICu +8WgWPzH92zg+3p8N0z3HJ8befwFh3XdvDnKtgpM7jHXuHM4G71mG7foGemPZ +0hTFJ1eqwHdIrCGJT5go8txF4hN/Jo5k8bnW2r0niWcICtmbRuIZC1YvZ/Ec +GtRdROIfxus5HSTxDxY2mzRo/HcPnviYnBeYH6VCzwtcWdiWnRdtyfmCJZLz +BW7C+boHcvfJeYQ8W8vh5DxCov0KJ3oeRy2wmlK3KBU2fvk18Hvla/i2XHnk +yIJquFB3uXDhhlQYoRN7YtScx9hZdeUg61pyri0GTCXnHULHjSsl5x0f3drI +zrvKabVVJD+A7oQ9VSQ/YMJPR5Yf/GVGB5B8AkuTIqxJPsHBK1X203ziLMk/ +4CLJP6Au5J/TknwFzyT5CsqFfPVsbW4vkt8g23ys1LKLBTA17fJ1mt8Mr4w5 +RfIhmGg8aCL5EDZua8vyobT5zbskf4Lf1tmLSP6EI/t+jKH502lPjP+5j7Hw +6Mj3pX+13sLPM4p9DhTVQPmfBWom32Oh1ne+coz0XXzgmf3ofIdaaFRZvY/k +Z9h+uTPNz7grPnUtzc9nU1LGkXwOUxdrTCT5HLW+e0vy+YcIe5L/oVzu2DyS +//Ge0kiW/8fO8Kb1AuQ/+cuQeoGN9umsXhSeHN2J1Bd4NmLIM1JfYMvNA49p +fTGR1CMoltQj2CXUI4XY57R+gdGm3bR+gfjEGVa/FjzGJlLvYL1Tu2xS7+Bj +94+mtN55je6UT+oj7HhZo0bqI7y5v6ma1kdZx22zST2FP80jNUk9Bc3RT57Q +eto9F+T0AxHeui7Mkx7tjAfCfi48irXQM+S7OqnLMNbuPa3LmKfjyupyr4l1 +tI7DgKadtI7jlmQLVsf1Os2hdR+eWs7YS+o+Pn3Ti9X9J49W6RCcAJNryjMJ +TsC+nqEDKE6YObAHxRXgONOA4gr8puzBcMVWQRft2koX/aF7eW9iJ9YXDCsl +doJju2BmZ8TUhm8EB+JT/yMUB4LW2/4MB0YI+t7trfS9O3Sdh5N9R1w3gO47 +OJ3bzvbdLNLnLYkTDB1ZQeMEZ1o3KNE4ORwho0VwKX6yqfxKcCkYdXnNcOln +J+0EgmPx4U9dimOhKbQzw7HzhH5gZytdq9p3KCbnC39Xb7Ej5wtOf04eSM9X +dO63ieQ8om2/t93IecRXMR/ZeVye/v0gwdXo+Nz9JMHV2Gw7MJTiau+GcXUE +h6PH+rVzCQ6H611VGQ7vsjGsluB21PlafZrgdtAVeTDcfmZtcW+C83FPmD7F ++bDseMNhivMDBf1nbCv957cpTjSPYbenz5v7BHrDqVuZLI+Z2K6ieQ+P7n+c +RPIeLtAwZHmvxDx6Luk7MGJ4+2bbxHC8eLmviPYdu4/8OkH6FCxI7WZJ+hRc +uHjzH9qnHP416C/pazBAR472NeCzfy7ra8YfrlQmfRAebdpC+yBY3caf9UGP +fz/zI30Tbn18kPZNcHHHtDraN02u0jAnfRZ2qUo9R/osMLKzZX1WnaCrlG+l +qzygjn8H5eWjbIr/NVIvIGKy0XVaL/ZdkqX1Bc/IN9P6gt1/bbWk9eX49tGn +SN+Hw0t+0L4Pt72tnEr7Pv/dIbRPxIyR9/9cdk5AjeOmrE+MswmnfSW281K7 +RfpK1Fp+QJ72lVbDrPqRPhRlFM4/IH0oJM/QbUf70Bel52jfivWy8aWkbwXX +24Gsby3e8NiK9LlY/SuV9rkw+/c31ucmXt5A+2K0sotTIH0xfJhWvIP2xfM8 +dGgfjXKOHzaRPhrm5k9hfbSboG9cL+gb9QR9Y8GjK7Qu4wCTqjxSl0G5dAbS +umzr5kPrOI4YNG88qeO4bJTPJVrH1V6+on09mumPjCJ9Pa5f94n19dckPABa +SHgAPC3wADfNRY1SPwtwzfePcQaaqdio6cN4g/vnpx5unF6APcLLRjuLs3Cw +8yjGM3w9M1VjeXwB5nbPqJvduwC8XOr7Ur5iVcBC87cPC1FJ6pXJPf8cUAxW +YfzGQrlUyofgwG+GlA+BzxuMGR/yR33RGEVVMZrKnR03pCYRDl00YPzJhk33 +Kd+CF2fvk12wIQKOdKpnfAvXH54T+qHpQp4JUjW9S/APypj1+LrikyOOctHZ +RfGPo45LoEupGNu7fl7uZR+Ed0saN1CeJ8g4nPJCeEnk+Nx+WzS29TKwpLzQ +vh/elEfCpUMHUh4Jm7QdGI8kN0KF8k6oFHKC8k443mQt450mL1v7+6ZlIQ4d +fL9LfmYulmfsy6A81RxBH7hS0Ad2E/SBHqv0b740KIQ1thsTGkzzoOm+6JLs +XzGYmrbXdutC8F/Yri1Px2TBwz2Zdh0TimFU8Juj/r5FINMuU7bgcCp4eYa+ +irpYAvYDTmHNXDEYflgkf21lAkhdOjhVUaMURvSXnd/XRwwftKdFTCB9tuxY +/TDP56UwJ3lf724/xFDq5ZextM4P4gP/TFnf/B++604rvqtj3eOFA8k8S0Jc +zg/1D8feifcq88j57fbFoWE6OQfe4y/G3N2YgPOXjxh8YWwpWKdumbnOrwhU +3+6pc7BPRYej3tsTz5XA1Y8Zl653LYKhXX5EFE3MQh2lZZklMcWwEvOuyhsW +gmNH1Zgm8zysH/PgftMvMfx1ruslM7QAxN97h+mey4Y9ftu99L6UQIbJqQM7 +YgrgsvaDEe7eaXD3mGWNS2wpuPmmfZ1jXAj16y0mXViWCIbZJ+eany+Dmt+b +N1yNLoSvctNvm8lEgIrMvKtd1crh7OVj2xb3KIK7Y16LXpgGwMpHNZq1R//D +d81rxXfdTn80s8v6Qlj0QrNv/o5EjE0rNXU8XQb17x6vhnhip/q7+9Yf03CO +jadFSHgpvPYxmR89ogBWein3jHLLJv37qvBZ5SWQNapDmtHefBjqFDBca28+ +Dlbq397wRzF8HaGXO8giD3bt0nJsXF2IbfKOKfwifih21NedOCQP5ir+vdO1 +MB3iNOWLfDqWw5kSbZ8hqvnQvafsdZ3FSRA8bP3q8pJy6J1uNDLvXD40jv8w +x9osEh6Um9qNv1IBj+ptGn8lkr/bK8c3UfwWuvY/ursrwZO8zukIdU9JqHcd +v+SNkJuQB2mB3V1NfqdjbpcjMXbNZdCjzfDCkq85sNi5Zzvbrzk4UKYqQJrE +Twe/B/oj3bNBPT7nyN0RBXjCdGrnOWS9z7ID2qhMyoKGZ/tDT3YtwhMDD3Ut +I/ve7kbZ2XcdsmCw7iYVrRnJcNtqlnHImEpw99ky2j8lC6S7/VRY+jkKKiqv +3Rz8oxJiPU3zB67JhtXeOhMbl72HzG5Hvg07WAWzBX7MV+DHTgn8WJVVUFf/ +3+kQevCz6KNmHsYMvbT8JLE/Y8fHipyPafCg16mIviRvaVfKan8i+6W4VOXF +Z/tUqPt0z1nXrwhrw49fTiZxG1wh9zricwoEBd4fvbNNDEQWZM2M1ayGhtgH +mr2np0L1kesG628FQjvz/Y+Swv7Dm/H3JV8KvNkdaZnEgTsTYbG0l0HTukLs +Mqr03DkSPwaFv2ozNyZAWOqyhDHaYuw740K2EzlHObelk675xUKWu1PDtpdB +UHBsx/Z3STWQLvBpWwQ+rbeAi/ZP/LLS1D8cvkk7y/fzEePGAzaKheScthH4 +tFhBh5vy37/HNdNH9D9/j+vYK9H//j2uN6L//XtcvqL//XtcfqL//Xtc/qL/ ++XtcH/xE//N3t475if737275iVr/7hbn99yE393a98/vbr0Rtf7dLc6zbRJ+ +d+uH8LtbnGfjdYbXF/7evr7we1wxwu9xuSSOmlviFYB/psqbziB5ZYmDZ0Ub +kk+ibk7vu23gOyxvO/RY36R8UN1l061D20rQcQxpE3v2PVp8njqylMT1yYFW +bRUPVEFYiW6IQmwgBrmnbnSckQofjxhMSP5UDZPbqCoNig/Cd77LzH+/i4XH +Vg5hTYk1IBdksM7uEGLF2uXdbh1GmDZuw2pNu1q4nWMftcs7CF3Wj3Ud6ReL +uuOU+4eR+IlcONuixiMQfxUnGaeIUrH8UkfvYhK3P0NSYo4tfY/zRz/ZX2uY +jW7xitenkvP13CRZ073oLUbmB16rSszHpwtK8vuTvKH//njXzO0B2GzvPF2n +RxGOW1pU8IOsd3Dyje/lX/xQ+1NdcucfYrzSfXHCJpIflh543jfRMxI1V847 +FH4hH+zatf9y5GIFTOuW88jtVxQ6Gi266pGdBUblL5yn1ldCdG165+/qMfhh +5vSZq5NSwCusrRmMrYavVZoXq5Vj8Y52r6gl/WPBE/rM0hpdA4rOkVUD38Wi +4+t766oTgkDU7cHINmS95YHzlbOkYnDaOMe1lz+n4MBzmSsKyPk1Vny171J4 +FLpau+TZpWThpEbn09NJnnnbx8g9Ylckzjs0yC7uXD5erTq6aB7Jn3t8lwdX +SkdgV6mTUk7RBJclPbJQIXVEtWKbQv31cNxWsr5ciZy72+111J6QOpsVbfx3 +vXEyJv+duUShTxacWL+86tbgSvAMXLfu1OgUbNvP/L3GGJJXut8OttOpgry3 +fSOfJKbghLcTIy1HxcAYp26FOmS9hkkND/vPSMWj4RsWto0PhI1ejxbkk3go +OvvLveOMZFR/+tPOo0MW9v+9JTuR5M+1smkP5Rcn4e696nL9VPMxsC5myC9S +F0xfKw03WpaIjaq662caF+I1c9/5h0l91I7PqbRemYD+mo/TCI5AOxvTrX0I +fuhQl6/6TCkLH8/bYxRlnAyely+euUfs/2O1LmxwdhZew73zIn5HwbJPR59r +k/1a7LD9kuuabIy81u/nsfPvIXZ0Lxk1Es9ttJbH/yxIxycmP/3Vh+RhW8dN +vd+T+uXef97vo95paBI6IWR7TAGetJr604PU8f+r4+yjqcy3OE7kcoyKZqSX +UZ1WMkxqinHrnmxvNSomlYipGb3d4tKi3CaRNIYk40jJS2RyJTESjddatqIQ +NxoVM3qT2zVTM7iSocLd++c5/8xa8/+xzvP8nr2/+/v5Pvuw1oi1aDpAnDU6 +7tPykk7ssHINbCKfMyt+8Hhe3BO8FZqdH5R9CyBmyZyvqX5qZi1crdHyBBMG +YsxPzbkCnc3raiZRf/20KKnBNvYBPlu61FrDpAPfxDZMXUP+od57mizLoh37 +mxe8JJ+FJUqMlJG/stT4t7YV1fGN2X21B3LKoTClNlmL6tnwqSy83+cxFlQn +tZFfw44+W4WMfFqjpKcuTSbTdqoXKlS6ukjjEn8evjdzb2V/FyafsYw/r9LZ +yc+nfOCtUaRIlPTWfdwV/l6YUZB9h74XD47mi+9NL/T9C10nWOJWvk444OgT +xdfp8VNPHd0XZLks5vsCb6OsaXxfSZJeh/t9NHx3/GVFtKTboXmaznQ+MBie +O5fOB+N1/lvN5xOwqTCBzhPizu4toPPE9/wuyPk8iwzXzafzh1nH5/H5Q2hQ +mDj/l0ZtQ/S8YMvCw/y84LIsTTyvxKWr7tDzhSuV9/j5glvPAvF8VXvdCwPP +3qjTLlao9rpzTJZxncDnX3q8pjrBVk0jUScRof71VFegl37DluoKE4oMRV0d +XxUlpzoET+NYL6pD/KHcTtRhp83mX6luQT26gesWZEpLUbd3/deaUZ1D5D+m +cJ1D3leBos6PJq7Opb6A1IN63BeQGJcq+sJz+al06iOo/Wd5JPURmDsHt3Mf +qfaly85aFSXJShSqfelx+26fp34EQ89v11M/4oqhatGPYavM66l/wUs5r5H6 +FyP+OlP07+nsb7yp3+FNCFRQv+MS7bF+V5/RpeZNfbU7Mc+F9AHb8i8Kffhw +TE9g15ieQLqkJ4XD22pJf2DEbiPrD2wo8xX643E97wzpFdSoZbFewTHX586s +VxV/z9hP+gZ1Vr5PSd/g6oJLUaxv+2++MSY9hLxqtS2kh/A4O3c962GvtLec +2fVC3UlWqlDtLTv88mU36SoEpwSwruKrGbFCVxtmL/+GdBhuW1XdJh3GpJRh +W9bhlveHdUm34V7eSTvSbVzj1OvHun30TFw+6Tx0BE0/STqPb+vVTrDOP9Kw +nE5zAZqvh+ynuYATu0PEXOjNauQ5AgG553iOgMF9pZgj/mNzB0bH5g5YSHNH +Gdi7iOYU2Fe2p9Ccgt5b1mJOfbvWppXmGvQFzAyhuQZDh1pSeK4pbyqP0BwE +84fW22gOwvZl2Rd5DiaHruiguQm/Y1AmzU34zyP993luakt+5dm/nB9Wa5Up +VL5l4oo7rjR/wazixESav2j0cbqYv7o7Hd6leQ3XlnvxvEb9XUliXr94uYrn +O8wFxVaa77gp1FHMdwflsXfID0Dc250fkB/AEOOrwg/kN3l/SP4Bqi4HhJF/ +wKh+RwP2D54RFuw3YPw1U/YbqOOrFH5jx5/8X4IN0n7p0IF14vpV+6XPyq3Y +N+Ls0QL2jXC0Z7fwjXV/8vv6C9L+ZHnOp4EVsjKFan+yQj7AfhUVkTHsV7El +7DPhV++/udBL/hb7ZZXN5G8hrahH+Ns5Uw/dIz+M8ihP9sNg0BMs/LDTH/I3 +FY8YSz7P1jGq30C3VLFN8ns/m3kuJB+OmlX+K8iH43sXN+ayD3/+xOwS+Xb8 +ytDfgnw7bgyKtmPfnhn96iL5fOy0CmSfD8UvSoXPX91f1k1cgIfbW+uIC+A3 +S6Ujc0G5cbM+cQS6WxxkjoDvbLYLjqiU8rd6KX/rlPK3I9I+3qNaeftinRKF +ah9v3/kND4hfMKO7zZz4BYeOnHvF/LI3Pt6MeAcPd+nJiHcwOSAkg3nn+nTT +GOIjfOBWO434CA8Zz/+c+ehH+SDzFGZuWM88BWppXwueiqM/J/5Ce+1c5i/o +cO7TY/4qTZB1Eq/hneYk5jXAzFDBazaRPqbEd1iy1CeZ+A4K3U4LvuuT8rfx +Uv42S8rfVPtvLqc85u7RKlaYSPtvA7oTBokrUe5zrZS4EpOLvwhkrlx0vsyM +OBQ/U75mDsUdUY2CQyu/OMncir1O4UnErej3833BrYkbu5hzMfRXiwziXPTt +jROcu2VyzGPiYgyO3hNNXAwt7qWCi//21pQ5GvWiTjBHQ7/9bMHRm3QmM3ej +4y8mhsTdcHKHneDuYZdq5nR0N+88R5wOBfKVgtMDtx9jrseKrQnTiesh8Ier +gutTpfzNTcrfnKX8TbWfFrdns3m8xmXFx9J+Wsve55wn4Eyv1fYFPuUYbHpU +5AkTikI4f0CT1G3p/pr12Jm7ReQPzlO1+h3Ih52f4GkZR76s+cebIq+oOX2f +8w1cUP7SJJX80e41HSLf6Hm2c4om+ZiebryxknzNi3PmIg+xl/IlDylfmiTl +S3Fp85N1PZ9i4vLMhte7H4Nr+ySRqzTpbk84TRy+L9GBcxjQstAXOUxEKXJu +g24O7r3RxMGl7+SI3AZsNv++jLj04W8WDZnEqZ+UdMzhnKequJFzIRwJaIs1 +Ie4cnZcgciEVL4X/IZdT7aE5yJuXhKoXKVR7aOFVXkb6xAndpnVda/9XijnR +I9acRw2+TeH8Ci2e3K2xTKvF/BpDkV/5rCzlvAs7u6x0ksm3flRWKPIuB/N6 +zsfQw86J8zE0GGkV+djABUfO0zAt1ZrzNBw5873I01zVczLYz0XIVzYPkL+z +2rU/nvM3a+m97WLpva2f9N72/+n0ciA= + "]], {}}, + Axes->True, + AxesLabel->{None, None, None}, + AxesOrigin->{Automatic, Automatic, Automatic}, + BoxRatios->{1, 1, 0.4}, + DisplayFunction->Identity, + FaceGrids->None, + FaceGridsStyle->Automatic, + Method->{"DefaultBoundaryStyle" -> Directive[ + GrayLevel[0.3]], + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "RotationControl" -> "Globe"}, + PlotRange->{{0, 1}, {0, 1}, {0., 0.9999998571428674}}, + PlotRangePadding->{ + Scaled[0.02], + Scaled[0.02], + Scaled[0.02]}, + Ticks->{Automatic, Automatic, Automatic}]}], "}"}]], "Output", + CellChangeTimes->{{3.887882307215251*^9, 3.887882321985407*^9}, + 3.8878823629752274`*^9, {3.887882408851259*^9, 3.887882422594714*^9}}, + CellLabel-> + "Out[158]=",ExpressionUUID->"d436f95d-f3bb-427e-bd89-741f2e39662a"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[{ + RowBox[{ + RowBox[{"notp1", "=", + RowBox[{"ContourPlot", "[", + RowBox[{ + RowBox[{"Max", "[", + RowBox[{ + RowBox[{"Min", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", + RowBox[{"Min", "[", + RowBox[{ + RowBox[{"1", "-", "x"}], ",", + RowBox[{"1", "-", "y"}]}], "]"}]}], "]"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"{", + RowBox[{"y", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"Contours", "->", "10"}], ",", + RowBox[{"ContourShading", "->", "Automatic"}], ",", + RowBox[{"ColorFunction", "->", "GrayLevel"}], ",", + RowBox[{"Frame", "->", "False"}], ",", + RowBox[{"Axes", "->", "True"}], ",", + RowBox[{"AxesLabel", "->", + RowBox[{"{", + RowBox[{"x", ",", "y"}], "}"}]}], ",", + RowBox[{"ContourShading", "->", "Automatic"}], ",", + RowBox[{"ColorFunction", "->", "GrayLevel"}], ",", + RowBox[{"Frame", "->", "False"}], ",", + RowBox[{"Axes", "->", "True"}], ",", + RowBox[{"AxesLabel", "->", + RowBox[{"{", + RowBox[{"w", ",", "x"}], "}"}]}]}], "]"}]}], + ";"}], "\[IndentingNewLine]", + RowBox[{ + RowBox[{"notp1", "=", + RowBox[{"Labeled", "[", + RowBox[{"notp1", ",", + RowBox[{"Style", "[", + RowBox[{"\"\\"", ",", + RowBox[{"FontFamily", "->", "\"\\""}]}], "]"}]}], "]"}]}], + ";"}], "\[IndentingNewLine]", + RowBox[{ + RowBox[{"notp2", "=", + RowBox[{"ContourPlot", "[", + RowBox[{ + RowBox[{"not", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"{", + RowBox[{"y", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"Contours", "->", "15"}], ",", + RowBox[{"ContourShading", "->", "Automatic"}], ",", + RowBox[{"ColorFunction", "->", "GrayLevel"}], ",", + RowBox[{"Frame", "->", "False"}], ",", + RowBox[{"Axes", "->", "True"}], ",", + RowBox[{"AxesLabel", "->", + RowBox[{"{", + RowBox[{"x", ",", "y"}], "}"}]}], ",", + RowBox[{"PlotLegends", "->", "Automatic"}]}], "]"}]}], + ";"}], "\[IndentingNewLine]", + RowBox[{ + RowBox[{"legend", "=", + RowBox[{"notp2", "[", + RowBox[{"[", + RowBox[{"2", ",", "1"}], "]"}], "]"}]}], ";"}], "\[IndentingNewLine]", + RowBox[{ + RowBox[{"notp2", "=", + RowBox[{"ContourPlot", "[", + RowBox[{ + RowBox[{"not", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"{", + RowBox[{"y", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"Contours", "->", "15"}], ",", + RowBox[{"ContourShading", "->", "Automatic"}], ",", + RowBox[{"ColorFunction", "->", "GrayLevel"}], ",", + RowBox[{"Frame", "->", "False"}], ",", + RowBox[{"Axes", "->", "True"}], ",", + RowBox[{"AxesLabel", "->", + RowBox[{"{", + RowBox[{"x", ",", "y"}], "}"}]}]}], "]"}]}], + ";"}], "\[IndentingNewLine]", + RowBox[{ + RowBox[{"notp2", "=", + RowBox[{"Labeled", "[", + RowBox[{"notp2", ",", + RowBox[{"Style", "[", + RowBox[{"\"\<\[PartialD]NOT(x, y)\>\"", ",", + RowBox[{"FontFamily", "->", "\"\\""}]}], "]"}]}], "]"}]}], + ";"}], "\[IndentingNewLine]", + RowBox[{"notPlot", "=", + RowBox[{"Labeled", "[", + RowBox[{ + RowBox[{"Grid", "[", + RowBox[{"{", + RowBox[{"{", + RowBox[{"notp1", ",", "notp2"}], "}"}], "}"}], "]"}], ",", + "\"\<\>\""}], "]"}]}]}], "Input", + CellChangeTimes->{{3.887886263910124*^9, 3.887886286411724*^9}, { + 3.88788651561159*^9, 3.887886555378252*^9}, {3.887886851925179*^9, + 3.887887090901691*^9}, {3.887887128008222*^9, 3.887887169958816*^9}, { + 3.8878872549598513`*^9, 3.887887399779451*^9}, {3.887887691355406*^9, + 3.8878876964219427`*^9}, {3.887887760717849*^9, 3.8878879649723177`*^9}, { + 3.8878880337635593`*^9, 3.8878880351691236`*^9}, {3.8878896895882053`*^9, + 3.8878897002047977`*^9}, {3.887890053967044*^9, 3.887890058315485*^9}, { + 3.887890252278544*^9, 3.887890341256885*^9}, {3.887890497871027*^9, + 3.887890500335762*^9}, {3.887890600462666*^9, 3.8878906022031717`*^9}, { + 3.88789063434759*^9, 3.887890640362595*^9}, {3.887890671048555*^9, + 3.887890676018215*^9}, {3.887949632823019*^9, 3.887949684448853*^9}, { + 3.8879498126447477`*^9, 3.887949816972299*^9}, 3.887949855402584*^9, { + 3.887950448855247*^9, 3.887950464958902*^9}, {3.887950555004909*^9, + 3.887950589422558*^9}, {3.887950645050432*^9, 3.887950681720224*^9}, { + 3.887950834391054*^9, 3.887950841123344*^9}, {3.887950900131435*^9, + 3.887950998709052*^9}, {3.88795103699515*^9, 3.887951042870414*^9}, { + 3.887953793761869*^9, 3.887953806747262*^9}}, + CellLabel-> + "In[711]:=",ExpressionUUID->"4090d351-b333-4716-9ccb-32b913b90e5c"], + +Cell[BoxData[ + TemplateBox[{ + TagBox[ + GridBox[{{ + TemplateBox[{ + GraphicsBox[{ + GraphicsComplexBox[CompressedData[" +1:eJytnQWYXsX18IMUh0JxLS7FghSHAUoLpTjBnRYoUtw1uFuQYgkQCgQCIcTD +Qkg2yW48K8nGdsO6S3AKhX7vOzO/Mz3n5m3679d99nnmOXPvHTlzfM7Mu9WF +V5100fK9evX6csNevfJlv21/n/sf5nrFvwAXC7xo1F9y/9PN8wqB/eNFVQIv +DBUC//TP/N9nAj/tv68XeJs82K9R4JH+82aBj/Qdtgm8wLffIfDlfoBdAutx +DnPMB5j56OcVAjMfYOYDzHyAmQ8w8wFmPsDMB5j56HVYYuC0LnZeej7FZj7F +Zj7FZj7FZj7FZj7FZj7FZj7FZj7FjvXQdLTEwImulr4udl4VAjMfYOYDzHyA +mQ8w8wFmPsCsBzDz0XywxMCJL5ZOV8WZeQDr9akw61Nh1qfCrE+FWZ8Ksx4V +hr4qzPpUmPXJ8vXS+aI4sw52HsDMB5j5ADMfYNYDmPkAMx9g5qPl0BIDJ7m0 +dL4uztCRXQc7D2DmA8x6ADMfYOYDzHyAmY+Wo0tcIbm6dLlUnOEDS0d2Hew8 +gFkfYOYHzPyAmR8w8wNmflovLHGF9MTS5Wxxhq8tX1i6svMAZj7AzAeY+QAz +H2Dmo/XaEldIzzEfK1etXLJ8benKroOdBzDzAWY+wMwHmPlovbzEFdLTzMfq +BStXLV9bvrB0ZNfBzgOY+QAzH2Dmo+2KJa6QncF8rF6zctXKJcvXlg8sHdl1 +sPMAZj7AzEfbRUtcITuJ+Vi9ZvWClatWLlk+tnxg6ciug50HMPPRdt0SV8jO +Yz2sXrZ6zeoFK1etHLJ8bPnA0pFdBzsPbZcuMeOzdl5xAbvC6mWr16xesHLU +yiHLx5YPLB3ZdViSmVcY38AC9vdAt7Xvr1Pe03iwz7Ezuk17qR+eBzwVuad8 +fbvAms7T86XTTZH0H9otifhrEVjzeXpu+Yjn9BfGXeau8C82CazxnZ5bucJz ++vOP+82J690gMOtpn1s5y3P6O8r3syCWdQJDL/a51Ts8p7/Qbo3QH7Ctp33q +aZ/nhfotNE79XZ20a/Fk8VIIj/THc/qz62jXrdA60x/P6c/SmaWrQnRIfzyn +P8sHlu7/PZ9Ml+f0Z/nW8um/5+tieU5/8K3lcy0/lhj/o9vIvW5XqH7p47Lz +Tni162bpAjqAnixfWL6zfG3lhpVLNm4RxtMvPu/J1Gv8LJH39HMrL1M97+v2 +l8h4WAdKXT8s81yvY4m8r9e7xPjzRabdYsEX71NSz7rZ59SDf96npF7rz/Sc +etaT9ymphy7sc83XNUZuLTByaFHm+dLlTJ2Rew2G7tJzLUebDN02SL2Wa+m5 +9h9a5H1K6qFr+5x6+Iv3KanXdnB6Tj38yvuU1MM39rnWu93yvtbn3cJn9rm1 +AzSdDytIx5SF6JSyEB1SFqIzykJ0ZOWSpRPKQnRAWWidtR+WXUfKQutEWWgd +tF2OHTdY5BVweD4q4nF8Bg6vT4p4mpqBr/Svz3S+etvyDBz6qXSh2bkZ2E// +n/MiPhdm4IDH6ojHuth/rcBhvNgnDRk4jLMp4rE5A4f1a4l4bM3AoZ82N8K3 +256BQz8d7ne+3a4MHPpJdrTWu6NkPaAjHS+ql/lq/hho4GGyLnr9yky/ZcJX +rBPfaXlbIrDmt0r5Dr6hXWD4jnXkO/iIdoHhQ9aZ77T9XCewltNNZr1bDB5b +jFxuMevfLu0CazncZuihU9oF1nK3Q76D77S9123kbLd8p9cN+igRmP60vTIs +851e7yVGvlYJfrWfkfjLxrW039CQiQuBbx2XaTFxjASDH+ST9uOWGDjNG36y +frG1f209sKb/gYZeBwo96ud1AjNPYG3fDjR+wEAZL3KW/hgn/QHTHzD9AWu/ +pSgjB7R+KzH8VSLtA2s/rUTkGXIderVyp5BcoT8tD+oEpj9g5Ct6Qq9XmfRv +20N+QI/oEbuuGq8LMniyckvT/0LBN89ZX2DGq9vvLkhXdt3tOlk8Wjmp7cIa +Y0/WGHlWI+PT/XUXpHNLh5ZuCq2DtpMXCh5ZHw23yPsan3UGn3UGn1k+tHxi +6drSHXTCuND/Gm6X9xmPbr87E4cppKesnLB8rOm+VejGrqvFWyE9x/gKySX4 +WvP5ggzd2HWxeNF+/mCRc5qvOzN8YunSrrvFu9Wzob8e6Y/1tnLC8qGle0tX +dl0tHoGtHtfyvSdjF6PnqLd2MXqSekrqrR1KO7Rr7VDGE9a9n4EHir0xKtoL +jBtY2y0l0r/m+yaxH8J79WI/aH+pTup5b1S0P+A32qFdza8tRj62Cd40P0w1 +etfOe1gGD5p+Ri0TL1oPdpvvEl9Zvmb+2FPMF/uJdrSfNirjp+lxjJJ5aP0/ +yujtFL+hnnGBZ0rqGR9yEhg5r+eT/DLNZ/VGjyaYdbZ2JDB0zPqzTqw/62Tt +QLuerLum06oMnWo5nuQ249FyNpXWX7f8WEhO6HF2Cz7oX7dv9VGLkaNtZh35 +K5P5azunVy9tlwwzdkevXtouGGb0Pt/XyXOtZ8n7aJDnOm5OHkWLPLd2vuZj +y7fDjF1VbOyYYmMnFBt7vdjoxeIM39EPfMO4NB8tEH9Y23XTjR013dgp001/ +JeKXANP/v1/X4oydGOorzPwrzPwrzP5imfGjymQ81s6zchv4P6Oz4gzebJzA +2t92/ws+xt/kffxNYOYHzPz0+Ja4/xsfFGfW2eLdxjHsPgZyR8cDa0ycoUbm +A6z95RqZjx7vEvd/49viDJ1aurHrDqzxX2fwX2fwX2fwX2fw/5/KkeIMH1m6 +tva4jVvYvA/e13kXDSZvoUHGa/cn7bpZvNi4iM3f+fdysTjjd1q6sHi387J5 +Erq/Je4/lcPIActXli7tulu8FooDIfesHLJ8a+ne0pVdNztvG2cqJIetHLRy +w/KdpWtLNxbvNs4FPfeLdhx2WqgfbOKuRfI8fD/e7PPZPNcSsev4TvtR0+U5 +3+EPa3so+fH4Ido+Sn407Wr/bqrxk4qMPVsifg32n97vIL6e9kNoR9tB4wXW +fNQh49B0OlXGH9qrFDiMZ47MC/0DPiys/faGAnHs9J71j5Y1DtsudEb7Sx9n +k+BJ74+PKog3jZcOaYd29X5mtbyv1zP5IdAX68v8aI/5AVNav8LGp62cs3ax +9Rs0HYyN/Y6Q+TNerR8Tfdh9WL2PQJymJdNOmE9pnPdE4bOl749Nj/XlbrTv +Z1YcZ5nUB/TONXp5bhyPpTP4FnzVGb3Ifgd+aKPA4f2miMcO4T/wCr7n+/e6 +It92mvn3k3EiV1lf5g2s5VaV0AnzCt/PEbsQuoEuwIuON6Q8IBt/1HZst9ln +7Ra6CePoyfAHepN1CeOZYezFtozcYdzwJfMGBi/QJfi2fj3tAOt2KjNyHRi5 +quVbu7xXqB6YdpDT8DvjBWY+Oi44PrPPpfetR2X0BPwTHk+O/LfY2NPVmXqb +D2flB++H+dYaeVOXed+2w3e0Y9+z8l3b06MED3adLd4snnR8bpTQN3Sg8+BS +/A75q+XWVIGRPzbOBl8A026hfpfVD+3QD/IDuYwcQT6j1/iOfoD1+CsFhm6R +z8hR5DR8i3wM79WInAz1i6Sknvf4zvar+Sw7bsal477lMi7Gqcc9wsjXsYI3 +8E0/xOV0HHaBzKPQPreNM9l9bxuXs/vdNg9C5w91iv7Q+UtpH9jSt5aXI2Te +1q6AboH1+qT1o16fU6k3698g87N5IdrfS3qf9dPx+3JZx7DeVaLHkBtWT2u7 +Jultm0di98GhC+hB8+ko0a96X4F4aIXIJ+hYr0OTwDpPqUPwwjg03SR7gfWB +TgM+pok9hPxjfNCR1l/F4h/xfoD7GT3az8TFi8WP0von5T0jv7XdXCOwtus/ +E/6y39m8JW2nzDf0+JnYr9AD9Kj1RH0m707zV8rD0/sXKe9J5203CF2FeTaY +uEKT+HfQP7DNh9F+YjpHwzpq/3S6WbdpcX0nCN1pu6pCYPiJ72y7mr7myHe0 +S4n9Cd3Dn3yn/cpKmRew1qtJr4RxDZNx6fNVi43eSPgP/Sb5w7oxTp2XVSb2 +JXwBDP1ouVabkR86/tFp9Mcc4RsND5P5I0+gN96zdi38q/G2OMM34CmMZ7Hw +B3jQ3yWYefEd7YIHzXe1pt1akQfII53n8Zn5rsG02yD4DO30GHu228j1lIeo ++b1e+E/Ta1HGzqJd5Bl8rvlpoMl3HyzjYh2BoXPWC/5mvXSeQqW0R//Q49L9 +05nCpwH+ROqhH2DmCx3r9/ELS835ggqD/8pMXiX41vkz9UIvzMfSsdYXlZl4 +BevBumt/x65HP4P/gWbc0wUfzB/7xuo94oQaf+WmnWRf4L/b863WPrXnAnmu +46xtJu6Zzjva/UzeA6afMI5uY781iD1GfRjnyzI/5CDvaT3aJnIM+4d+kLes +e3jeKvI6fJdgvg/tJj8k4P8e4xeg19vke8YDzPfgScdrE956mT/Wl/Hb/Evt +t6Z8JR1Xb5P52PxI609SD11qufOWtBPeG1oQT+AZPMG38Iu299tM3H6sjJ/+ +dV5vjbEL0jkZG8+2fgF0tPT3xhr7uDQTf2a82g5I52l0XLFN7F7oAH4K3WTj +c6wz/Eo8ztr12JPwA+0gl3Q8Yo7RQ23GT0rnKyyegG2cx9aDN+uvU6/jVWNN +/KNGSh3HzsZb7Ps2nqLtqrEZ+mZcNo+I0sZvmaf1y6m3/p7NB7F+LXShy45M +v8yD+TFu6+/p78aKntF8N0/aQw/SnvYXkvzTccqWgnyj6aDb8FHiV/Qr/ep9 +yhSXgZ81fQ4290oMFLzY55oP6zL2EHpP28Ulhr6mmjysEpGrOt7aLe1ZP0Wf +9y6T9rX+a5TntM9z1oP2kD+2ffib9pErtA+MPAnfVwk+LN4sXuw8bL/aj2wR +GLoHhl50+92Z/ixe7DyA8TM13C4w/dn7OGzcn3bsPHjOOthzenbf085b8217 +Zpw2r83iie91/He64E37Bz0ZvGr+SPmn4Dngc7LoOR3/nyTyifeA+Z737HlA +7ef1GL3cI/JBx4EmGn03V0pNt/3MPvXLIk/C82FGrrWaeG6LsZMHG/33lpFf +JaI3dN7OQpPPjh5aIPJOyz8bR0x2qI7rtWX21ex5IE3X3Rn7Cxi8sr56XAuN +/Ur8Ke376TyTFrH3bLyVfsJ8psT3JmX6YX34nn55jtxjncPjJKfQY6wb3/Nc +xysHC/3Tnj63P9DYb4OlP+hB21cpfsNz+uM5/UEv9Kv1RZXQFe3rfZBFRg6m +fXTa1/zZkLFP+Z78CNYfutL83p3pX8vdarMvUyd+Ov0Da3lTKXSE3Nb8VCXj +tniwdi3v0w/PGRewzsevEruI58hpYG23Vgk98Bx86u875X3sNp4jp4GhM02n +/TJ0quEiQwejMnSm97FL5H3waelGf18m74NPu87Wb9B0n/wKrY+rRa9qvm6S +51pfV8t66XzrFnmu9W61rJfev2qT51rPVhv7eJGsF89ZL43Pbnkf/tDr0yMw +62n53vKp5RvLJ8DoE73vs8DY7QsF1vsqdYIPnc/QYeyc7oJyxPK19mMbjP9i +7+XIrrO2p5sM32T5Uq9Tlg60f9xixpHOM2k53y8j5/U+eYnh8yQnGS90Z+WC +ppP2DB3adbF45Xutz6tNflJaR/iZddRyIkundt11nlc2j8Weo8KOCHTRY+R1 +qdgn1IfvJko932l7ocnoQfKJ8E+bBA7rVyV6RK9HgmnXthPYMWu3AjMP9GTo +7x5jTw40cYzk32q6KDX7p2le1o/kfcaPHLXzBtb2cNbOZB8ytJfsSS1/U95W +obwu6ETHR+YZvm0TfNl9e52H0GPkOXHKFukPfUOcE/5Cjmq5nOQq7+t8znSe +x+pBTZ+DhY/4ztod4b3p8j1yUccnk99l9WxoN93f+u/t0mFmXuPN82IjR6ca +/TFdYGunMQ4bF9D6qkpgvY9bl5G7ej+4LiPndN53XUaO6f2DuoycsnmVzM/G +RYCZn81/he51HkqDid/a+HiDuZ8j5c9au8TaldYOsfsh9rm1Q2xeobU7iMfb +fRedx5nOqdn7ZbRfPdXkvyc8sv56XolOdLvVpsyew9H03Wbk0LyMHEcuBn4d +YfIOJxm/faLJe50s72s5Ys/1pfwGxqX3Q8aLnGbfkXEF+psgsL7fJ9G3lZ9h +/Ox/t5q8hQoZh44ft5m4RbIX6I9x2DwInTeW8p3Cd+iPBId1qDb45pwD8dgE +h2GUGfrDfoWP6wUO9JDOcZNfEPDFPVAJftJ/l+4PRf7D/9CVjkePFb1k94l5 +Tr1e33KhN+gmtN+voJ1v6Xrpz4sz+3xWbls5Z+U29YwLeQaM/NLjHmbGXWzs +wukZPaX5Y57Qi77nt9rck1tt7pmtNve0JrmlYeRhohvkQKF9TKuXrFy3esnq +Iau3tTytM3C6lwF5BazXa7D4b3p/oUJgvU80QdoP3xVJ+8C0z/dazqd9TuQJ +sKaXInkOzHP8Gs0H3Zn9QT2PJYYuBxbEE/0Vmmfgz2ZZb73f1JSJszMe2gNe ++jkFuw9g+2mW9bL7KsDgBTkNXmyeid330nZOU2bfQd9XkeyMQngHpn1tJ2Xx +AKzps0fkn43LI0/tvq3OVxgr70OP+nzaeOPnfSIw9A6MHMLuQZ/r/CjyATpl +3Oyba7ugVuQd+gdYx9XnG/mx2NhJNWIH2H3SQv3QLv3Qbhh/yisC1v5Z4XHo +fcU0LuiRfQzWqdA62n0V1qnQOtp1K7QuOs5ZKuuk82/qRa8zLvR4+G60ofsR +7kdf3xntt5HmPAL7jC1ib+A/wheB/ltctX8h5evrcx/Yryl/AP0W3qsT+4d6 +HTeplve0/Z7apR/GxTgZF+NkXjrvIM0TvIAn8AKewCt4Bq/gmfXV+qnI+L3s +a70ldovWX/3Mdy9n8mKgE2DohPegE/inUB41/KT3pWpNHlh234x8SezLUDaY +/Jh0342NT+h8qOx72g9sM3EN8rfSPljAW/odIC2/mkx8hX21JsEjeAePwLTD +OiAH7P7c0uM37QLr+GS3zAs9YfdrtTzpkfdZP633qzP2EePXfuBAoXue6/M5 +g409bff7iowdm+wl6FD/zkWR4bNRAkPvtA/e7b4K44SvaUfLn7SvYu0I8M/7 +zCu0U2XWOe1r2nnzPv3z3M4DvWX3EfS5n7SPgN1A+4xX998jsM171nor+dU2 +fw2Y+dp1Aw7gXEPPzRn6tvEea49qusvSmYaLTP5+lk5s3pfdR7T7FXofstuc +o+o2/feYeFJpZt/R7i/YPDytr6vE3tTjy+5T2n0yu8/DuG2emc1Xs/ec2Tx4 +nV+Z3VcAZj76vEqV4FHjI0undh+P+fC+Xue0DoXWRe8TdZu8ih6Tr57uvQ10 +VyF58DaOo+/XS/aijvc3iX6BbkO790i91j/pvi/9vMbIg6SPsCN0fKnByIk0 +76XvgyT9o+nI6gsblxgm60NcQOuHYeb7YvN9sdEn2TgHeNPyd1jmHLV+Xiww +cQNg1l1/n/YttH2ySPrXetHOe7x5Xmzkao3g18ZtNb81GLu3OYNXxmnjOIXi +SjbOQzs27mTjPvq+lRYz7jZjv86TOIOWu0sy+zboZa0nS8Ue433wyvtaT5aa +eExhvWX1EO3b+yV13kdphq/0Oic/Cn5Efug4SsqfCf1UCBzaS/ePaL3ZbPRA +s8gV7E69T1qXgdlf1PsG9pxDuq9EwzWGPisLzlPPw/Zj7YFmY6ekeRWaZ1iv +EQXjEqwDcQb61X7tCHmP8TMuYK2nKmQczE/jbZ60D/503nvyZ7Tf2SDjtvSG +3AjjnRLHUSzjQQ9ZvRTGR3x/ltixOi6exq/jtE2m/3sEL8hH8AJMO3qfY57x +i9N9H+Qz2nwCu37IVS0/03PklT6P/YmJR2T5Wp+zKDVyi36nyf4TcVpg1iPU +Jzh8l/IQoDOdj1Fp/KEKg4fsPpHVi+yrhPGOjnohxSXYpwnzTXEO9ocoqdf2 +RH0mrzaMe7jEK3S+QLq3AfwDh++K5Pswj48k/gEc3p9h+s2eE9Xxvew+F7CO +g48S+tXnElPeoabXGQLDT1bvEZ8I+Od+11KZP/yp6SnB8GdoL8HQEXrQ2qGh +nC7tQ6ehPmu30i/v2/1J3tP4KvTeYLFntR6uF/4A1nKi3uSJ1oufBazjnvWG +X+tlfrZ99A9xfeQY8k2fj63MnFNGb+v4WpGso7bTizIw3+l9yOx3+r6YGqFr +HRe2555q5DttL2a/Qy7ZfH32TfXvUKZzqQHuZ/ZB+gm/af9/kdA98iisR7eJ +P9vfDew2+O0xcqFH5BZyDP0Z+GWeic+n+8IsrO2Wwt/pPB/2YZPcB9Z5K58J +XbEuWp7XCMxz6F6v01zRs7QLHYf2awW2cR7WR58XSueO4VOd7zdYvkce6vPz +k4QfsROIR6K/geE75qHtqrlibwNjL+o4VYs5X9GWiWvqfcbpYhci3+y9E7zH +d9QX+o739P1f2XsvbP6qvjeA/MyFJj6xUOSUPk+V7n0AXvq+dpPBR7PANt6k +/a8u4590mXOZCwT/8IX28xP+0e+0o/2kWoGhT33OJd0PCX1o+zLB9j29f5Z9 +z+4vA+s8gTaxn5iHztNtM/siwwraLcDMF3sIv4T9IHtPEHyEPICP0K+aLtK9 +HeF5gsGvXucOWWf264D1OYYKsWfQ48A6rlps1ndS5l4vvd5Tzb236d5D2rXf +2XZ1vnO2XdpD3vI9+NR56G0G/+leG32+KstHS+erZuEL1hnYvqflRPY9YL2f +k+ikEB2xzprusr+3zTz1PlezwHrfxN7rUWHszHKz/9WUOc8KDN9puzHZedA3 +MPQc+q2S99HH9ncSeN/mWfN9qMfOq8roJeDQT1XGLw31KT8x4JE4RcoL1Xou +nT9iXWlPz3uh+W6RjBu9YfWiloOLjNxL521svFefE2g0eqnefJdgLW8ajd3Q +KrD+neShIldHRTtC2/GjzD0zI4wfOzNz3lXf8z9N5JjW393GDuiW99FP8AFx +UeYZ3utn6L/I+DmfGHk4TPDEvMAH4+B7my/Oc9pBfunvK409nPw6YOZHP8Dw +LfXQub3HCn+I94D5Xsdh55jxVxq7Mfl7mo6mCsw4LN/rc8/pHLU9Fw0d6PPq +6dwz+NR24WBZJ+2HNcn4LGzlmJUrwHofJ9ljPNd2VZPZd0u/+67H22PGk37n +VfNviqfq/UbixK1GD7Ybvk73cunfX033JtGvzp9sMvZf8hf1fV+ce+sQvzOM +b6HYL8A6zyP5j/aeL/za0H696H99L+AE8We1PVBk4nTpfLfN4+A75BPfaT97 +gYyHeLmOOy2QcTJfYG0PpzxpnT/ebuy1dmNnp/Pe2HPhu5RHrX+HM/mx2h5L +fiz8yPyg9zBu/IC5xl9uMHTaIHSq91USf8DnwMgl8lPRB+gx6JJxATMO6B6Y +uDv0qe+l7zB+QOoPfmRcxJvBv8YL/vRnJu9gsckHrxEYPgSmPfQH7UGvOr8w +3T8AzPfQK99D1/oe40nyvX0fP4T39TnVGhP/bDDxiQZDF7XG3kh8rvdx6gXW +fl2iI8aHHNL8l37nUMv3lIcTxpONSwDTPvJT3z+Yfl8PGHxrP/EzWVcdv2sz +8iC9r+9NXSx0qfNBO8x6dsv7Wj7XCMy62t/the/t78RpO2yS8EF4f6LEtbVe +aTbxn2Zzz36Wr/V52SyfI1/BE7CmI+Iii0SO6vN9Sf+j95Hf2KXwjfVfoD8r +t4B1vIE4QqPoa43nHuE/5AfyVed7NIp80/7kAuMPzxf/j36YJ3hiPvp5sTxH +L7KO1If3EqzjWA3CJzrO0mrwkdYdWJ/PSHEW5Ciwtr8rBC9ans8x/D0n856m +97SfCb9b+mV94Fv0CePlfd7jOXpXzyfdA6333RKfQHfII+iS8QHbfpkP+z/4 +s6HdKtHf7FOCf/Cl79dqMvZ+upcD/gTfev+jyPg/aX9BvzfYxJuHGTtshIxD +38ffaORao7Hzypy2b9FTye9m3Ngr6KPwfoJ5rukowcQV4DtrJ+l7apvFzsPP +t/dUI3c1XqYJXqjH7lu6ndctckXb6T3mfvwew9fTBN9anydYn7+ZauhlqtA5 +8svGFXT+QpOxx4iTpHuNtRwnr6HbxCm7zTmCbmMX9YidAYw9bePC9GftDBtv +tPoTPINPbYe3ih+p4x7jBV/IW/S4vlcj3fNaKK6j4+MpzkP/+JHabu6S/jVd +NBn7L8GUmo8mCT/ZuCLyKtBXyvdGzlk7DDqAj9nHoH3WBz7cNupxHX9L95zy +nHbtufzwfIbwD/0wbvhcnyNO+9q8D71pvNSacdaKXNL81SJ2k43zQ0/IU2Dk +rL2nG/8w8F9t5p5u/L3gdyd/T+uPGcK/rIM+31Zm4nMl0g7j03hdZPg62Wca +D+l+f62X0u9gIS9snFjTa4PoU+aNfNN5kilfzbaLXIf/gbV/Os/w4Tyjn+cI +vqAjYOgIOQR96Dza9LsO2u8g3p32c/he59N2iJ4HD/A9cRf4Hr9W7/OlfQKb +z4lcgF61H9Zi5CV8PlbgML9RJs7/llmPMpmf1s/1gj9gje96ed/KUa3HOoVO +wRP8iz6jXWDWEXqCTvU9BW1GnyW/k3rsFd1f2o+HjvT+fIXYD6GdChPPbpf5 +YBfovPhukXPof/27y42m/Uaj52qlHeCAD+LVk0Ue8B3ygH513me6n1bn+zdl +6EyfI2gS+4n1IT4PXQR8pfg8+kfrtzlmneZm7FzLt8CsD+2DD02HtWI/ar0w +R2C9/oletZ89w/jZleKvQQehfqLxgyYJf+h9pnqzj5jkJfLB8omms8Q3yEMt +L5N80ufAa43f0WHOQXeYOH2l8DN4Rz/oePQMGRd8WshOZV10/Njuj3fIvPXv +oXTKOrGuwKyjPg/RIviFXu0+lf59qhlGj6dxMU6tx9O4bF5OGF86DwF/2HsV +7DkDnU+f7qHppf7GC/3ZcwiU0B9faH6ZLvQEHsM8qzL7ynYetA+MfaPnuURg +HS/7TEotvxIeGAdywOIFOaz38VuNXZ/OJTBfbeeXZ+4RAsa/03l1xRl72p7r +ANbtpt/rsOcKGae2x5cYezH5kdCVLnuMnIXuyLv9WPJmQz81sm8R1ied20WO +BDwy/3bZl8BepV+9XztQxqHLdA9b+O5lM+6B5lxKqehzLe9S3qe2a5Ldb3// +T+ffpX0pHY+uM+2m+N7S4+bpHIbelx6f+T0C/GRg9D3rhB4HD3qde+Q55dLx +Psw8t78TUyzjYpxLt/ObCs5T669FghedZ2jXZZKxVz8Te4uSen3fYCqph27C +fO6Rknr7HngP8x0q8jnw3QSJY4f5pnsGQ7vTTByQcxRNRt8gpxYaffGZlNRT +9ov6l1I/Xyjt0g/9Mg7GhZ+q9/2nyTyYF/Nk3uABvIAni0dK5DL4Rj7B3/b9 +pcuhgYa+0+8OQY86PrVAShtn1/5Ouj/G7mPofcOUn0W9lfPgK4xvopTU2zxU +/Xto9neTZkip6+eIPqWknvUNdJDyP6gP80Xvpv1b+BK6Ce2lfFQt15uMXZ/y +EiipR37o/LpkL1JSj/xBLun7ClK+quXL8N1bUlJPGeYxQuhX/57UJ1JPybqF +76bE9UtxYNYltA9/zRX+0/kACwx/p7xg9pGCHkl2O34RJfX6/EIqqae0+2z4 +j5TUUy49XoBfWSP0A4ydzDpj3+rzwdnfCdJ+3gyBLd3bemDKQr/bpO9tzd7j +quOCI4S+dVxrqsg/3tP4GJuB7T230DHt6HbTPTD0a/MatZ0ywuRx4pel+xyx +d1hPbc+2C8z35C9SUm/zoKF/vf9UKvWa3+sMvoeJnA98lbVTGTf0Ar3Tnt5f +q5N5wzeU1NOe/n2ZdhkvJfWUgf/apKRex13Sfo3ex0znYJG3rB/j0nL3o4Ln +3ML8uccMv60innuZLXYVej30m71nEbjQvYrA8DPtaXutTvoP5QyBw3qmew50 +XnCFnNOhpJ75hnUaLSX1+l6IT4y9XyTnCnkffyTgvVpK6pmHthPt73XXyfuF +3tP0l74rNE7NBx/JuOFD9Asw9gEwegYYutbfTxd7xd6L+t+2yzihT+qha91O +heAbOmSduc+K9/V+f/Z38ZYlt2y+Fu+DB+ZPv/ARJfXsG1s+Aw7yocrIxzoj +j1K8RudzVMj4tF5K66735VpMO2k9oCPGDV71+fBUUs/6wd+U1Nt95zDu9Dsh +0IvNa0U+aLnTJPoA/17rk5Q3r7+bJ3gGX9AtJfWsV2iHfKNEb8hN5BzfB/k0 +QfQJ9gol9Ywj4L1R+Bn841dYe5F6nf9ZY/IYUqnzAkviurRLCf50nAS9NV/s +Aux14is6T65B5qHx2yB2aKifIXIA/gHW8iHt/2NvBXtsnMSDKKkP60B8LsWJ +qA/rOE3sae41wP7VdnODjEfn06X9PruPGNonbl8r/Kfjy1Vit1NSzzhCO/Nl +vGGcKd5MPwHftXE+qaRe77uluFeQZ6mkXvvF95h97RGZddPyf6b4F/ocYrJv +2X/T+fbNJp8lyU19T3P6XVLtp6dzB8gp8MZznU9bLvI7vPeWxA2gJ/Sm/R1h ++Bd/RPslcw2dz5eSeugRPc46IUc1fTUYe7TJ+LVN4newT6r3S1uFn3UcNMll +HdfrET1APIBS+z9jTZ54q+AJezjgb76sF/Sky35Cbzb+EtYjxWH4jnreC+s3 +yvhTI6Qe+aztvPliD+v70hZJqe85qzZ2RorD2HOclHofN9n1yJ0wTvyauSIH +0FPIW+q13zRXnsNP7Ithf+t7NNI918gX1knvU9hzrk3yXqDPJuOvpzwf9qGw +79H31Nv7lkYpe4V5VZp5zzH2TfodHO1PpvGE+XUIvgO9DJf1D+8tkvUEX+hz +fc9IvcwH/a7tmC6Tn5H4BZiS97Q8LNwv44LPdP5XdhyMU8vpYUL/Fg/A0Ls+ +z1edwROwpvtU6v31xB+2PrSXfveRMox7ktiBrCfyi/VEL2CXIe91/m2Z8Q/s +7wakOCR0jz2p77O2/nPy9y0cvkMeJ/rTfnfK+2Ke2NfheZmU1LNerDN4Yn7g +T/sfKc6n451tou8ZH/oAOLRP/le9seNSnCbUcw95mi94Rs7ZewWgb/LK4Bf0 +h76vcKaMA32IvR/mXyLri58PvqB78GjvaeY76Bu65z39XZKr8B38Bv6ha9aH +etaZ5zZOD33beQFDh/a+eeqhQ+gUOmH+4FvrsQqhnyAHKqWeddX8kt7TfJXe +4zvs4m2N/aPz49L9HexjaPuhVfhAn79IdK3v5SBums5l6DzGRH/QncZLNr6v +453p3gd7jl7nBSa7FTtW39fRLOun9+GIU6b9goDvwSKng/74UOgr1E8Ue0Pf +p8g9IW1iL4Tv2JeZL3YQJfXwbYCnib2An2T3RWhXx+PnipylpD70d4+xC4eJ +3tJ56sXmXqSJQg86br1Q1pvnrDd40ee7e8TuRF9Aj9Ad8U7kGnhlHshB5H+Q +O41RPrRn5H/ot1LWE/4EDsMeJfRs9bC+ZzjZCfp32LtErjEP3uM73rO/R884 +dD+LJA7AfGgXvmdd7D1c+pxL+l0n5Ig+T1QhfKPlPHZqt4wbmLxjSp5D96wX +fIg8B9ZxwbQPi30Ln+l8z+QXIceQW/r3PMpEjmm5VS94RQ6BP+gdvgrvp/sE +9Lm5GRm/Gz8sjG+G4CHIjXIZZ6DTrP7U8fNyt53/MP2ukdYnSZ9SKr/orojn +fVpEv2Lvon+xB9HX6vzF1BgX/UXK+6X9IA+SnNX7lc0F8951fykPBBh6Q1+z +LvoczURjb8yO7bIfhf4fE/E7SvCg8DIq7g90kccY8fw36HF06PesdN5D7/+Q +D5A95wafQe/gk3HQjs4raCvYrs4PSnEvTc8LjN5dKHCgm3QvJXQXnqd7KKFL +1pfxA2t/L403jCPd08J4db5A2j8ARk7p/fH6jF9Bfzr/ok34H1ivU7rPQp8b +q5D2kXu8z3iQGzz/uOTbtzctHSp2wkODb31sn/u73IAIv33Dlptv+dAEkR+/ +fHSbcTcc3OFejDD1d1Res/JOq010Z64zZPYvv2h1DVGuTO3808E/DGp2z8f+ +GcfsvW6a/tY7Fe6mc9+/o+PWqojvKvfAYT+svMqFjZHPqtzwSG9r3F4zI//+ +pS+ucXvRxvVucdTDDw+6fPIdr6Y8yf2Pe2iDf66xyD0T9TX1H+189OaH9a51 +X2w27IaGjeoz+nzko1td3/eWVN97l9ohF+XgLWaOOG1gK/It3c876YSdDnuk +ONnNxRFe/+IjXtplMHkMOf2z+O/jHh5EvDndc3rqDddWDlm9xT168cKdT/yK +805trnXLq947864Jkf/JB5vutlpr6EvVp7S5LSL+sVsO2/y5kqdGDo18wL0h +xe6v9aO/+7Z/yqfcaeXlHt2spUve2xG4uPnVfft3udKzp2yz0u0fuur+/ddc +t0+He3f8Kmc9Vz/BPbf6LZP67l7vmu+b6a46YJGrj+VfY32/I4uHl75T5dYd +9bNtbryl0b34xaBvqtevcEV9Vm+bOqHZtZ606992WHm6O+aWPrd1r9bmpj17 +5MiWIa+5s0YcfdUFDW+4gfvOazlu74/devusOHuLtz+SkvqNdlv7k7GHlLqT +3n9r6FY3l0hJfd+nP37qxN7t7sqt3vH1o4bP/PvwV2a77bbfeIW39ihznVdc +99MuLS1uXKz/59a3bPXG+Tl78qrBO/RMnOOu9vNvcrts+MVDy503x/1lzMHH +7HdqTt5csfrvOr+Y7/ofWH713a01bv/bXrns1/enkvob39mg4pl7a+L86twF +xR8efdHBda73hX898tPV69wx59/3/tGfz3efebw2uCnb1C1oyJWdv/+++uEH +Gtzazzy2XOVGra49jnPFmuPfqBla4jY96pqnqrdpd4P6VD3z7QXt7savivw8 +Kalfqafzihde+8jt2Lv41Ddv7nQH3vLL7Tcb3OlW3Ti/Hp3uvQcG37fO1zl9 +79cj3ZPXJ9LNLM+f3ZGfB4pdMGfn4q///psBQmdfRrrcd8qmg6vO63Rdvp5z +s03u2CPf3ONPu84R/lltZN/W8lUWuep5W169YL8GN6zXctecstMCd66XD7Xu +Kv9djZTUb9n3hI+u2nWO2Ev0Q7+Mk3EzTsY9/5mvxq675mfuKU+XiyO+eyK+ +e9ziBxZNvO+Pz7lH7vvLhIfOecJ1x/rGWD+l15/HHPpVu7v2uUm/eu7rSa7v +lb+5asjsNvf84lOPX/zgVLfPP/Pr2uSOGdk/Rwdz3Ua9H8+tX6P79fmb5Oht +vuv269jgahY0/+OMWfPcLzxf1Lp9qrfIrUutG3P0hc9Nu3Whm+b7qXdX/rT7 +k3duuNC9tfC4kS8V5/hpubIcXc11Z2+Xp6MmV7RD23U7bDIrft8q42BcjJNx +Bzuixx176UYrlJ/0kNv68KP+PjVXUn979xETfzZwtOvuvObdueuNkpL6K2N7 +i/5x3hY/7pZK6pereWDx2a9WujFP9Zm/9kGVrnec98xXm/x8Kak/5Z33cnxW +7b5ovSnHd6mkfkrEw8A4f0rqz4x4AO+U1H/VnF+/Flf8QG1unVNJ/QmDd7pi +lQFt7u7Vj/D4CvKgw63j+a7TDRw9N8dH3e5OL0dSSf3vj9lzpWP+ON5dccnL +X16y/6euubzn8N9NmOLeO+kMvw63fXFITl6Uuw32XC0nL8qkpP5VLyfmuoO8 +3Mj5dXG9R0U6uN+Pq8718eNMJfXQV/Psaz1dUVJ/hx9vcxxvsyuJdBDw2O7O +8/Koy+3m5VEqqb8y2h9/bPih8vE/TnGPe32azglSz3trbvhQbv3nuXdPPTm3 +/qmk/sLxe+fwNcW94qbn5G2plNQHudXobvJyLJXUh3m1u4vj+2G+bW7DWD84 +vrdW7C/gtzziN5XUr7XuE6f8qmOsu3udooO+P2eMlNRPfbi9clxPp5tx6wHP +ntDrI3erX7eauI7VUlL/paerOndHhL+/d+u9zjiVfME698H2vQfUfcXvtHZG +fdDidvd4TyX1/d92A/deM93fG+J+jW43b380ynuvxfnQ/wRP56mkfmb//Pp3 +ulcOzq9/KqnHDr6/7o3Hfzgk/W7i594uanevrPzXzQ7rnX73HP+szylX/Onh +nHzATm5+seiiyj4t4vfPqvzliS/l+r953Io5u6Mu+lvp97HffuTxXU7M9X+S +t3vS7wc/8PpJ96x3f7n4kfiJe8x4aO8zTk33lr/z7jMv35hbNz2Ose6d2O74 ++N5HO865r3Jepxu24S4zXp802v34Ze3Xm6+a8hiJP5x/+vhzpufWdfV7v/n5 +2pPYd6uRev072zXyHvPcLj4nb2at+PzWOH+++1NsDzzxHe3wHe2Mi/MEb8yL +eTIv5vm7c2o/veHg9HuBrM+Uq2/YM4+//kdOvji/TuD16PjeQR9Ujct/t2fE +M989FNeDfRXGyfhZV9aZddW/S5fWOfQ71z3u7dxGobcVNznx2vc2K3GHvPTF +xu7ddrdTjId8GekwrHv6/YDHI73uGN/7/rCnX9xlcE7ORf55OvLNI/E9vhsQ +6Rm6/+b2VZf0HDjP7MOUuN0f23ena3Ny6ov4HDsfvoRP4RPmQT/wDe3eF/0Y ++Bi+7h1h2mXczGPvQ8458aUBiS8Dn6U4GnGMXz1w9Kon5fS2nM/rvU3Fn84Y +6Q7069oV8TQi+hEtbg1PZ2VxPVsiHZZFek30g//6R0+3Ze6+GR9MvKuVcz8p +zrLaK189+/0Fia6HXvzazb12r3b37vfbS/5ZVuderP/DXd98v8h94F49d3au +vnbos3v2z/lt7fv/qaNkj/Tdia01P+z+0yI3ZPpTt5bnvqubud+eF5+X+jnV +2wll7kGvD1siP6V4y8/jvKBX5jU7zrP/0F03+nD6cFfq7cAu9/XUH3rXnT7S +feHlZZebH/EGHneKeDso4nGXiOd5Ee/w0eD2xrfO2TD9HnHLLSO/eT+nTw6a +Xb3ry299JPKGet6jnvcui/bvbp4Pa9z9nv/S/ffU8x71vHd1jH8cXbLLk0Xn +J7oMdNce6TDl8xKPKl5SXpLX8xuWvLze/rOS/qFex63Se7Oum1KVtwd0vnep +u3mLs69dMWcXBT5I+/xPRPpe4vkm1fMe9bxHPGS1hmMf2Syn98//7s8N42an ++NPJ0W+29woH+dgspY4j5uykGGfYyPvn6Z7LidFv13GeRlfu4xNVbm/vTzW6 ++TO/zvkV8+Q72jn8pUs/OKI8xfGCPUAeXvp96Nlfbjf+056P3a0DfnqoIufX +kmfHug7y9LTYnbT+pmcMbE15uof+fLf97zk/3Q+0baTvNTx+iCPNdwf59+a7 +Zs9fdl9sqhs/tG/R801T3eOfPTlt4r3pnMfwD6444aUH2tyxaj0bIt4b4jrY +PLwWt9mJ8x754ZDZ7rLNj8rRV2ukw3Q/SKcfR5nE817w8YgGd+Npzx6QH2cY +d6N75fGvZu3eO91fQV75wCUr/vPMHL1VPnhH34qNkrwszjlp03LreN6k3XJ2 +dFWUj+lc9IKon4IcrHPj/fqm88bopw38+qXz+6wb63+qX4e5OdWUX5eqTF76 +KfF5sA/nuFu8PZjOVff2fDvX3ef5NOVlgseOuE7HRbyf9JfBm/fNrUN/b6/V +ulneXkvnqN/1dF3r+nj6T+esQzygM9rPaZ6B7zujHEjnrhkX42RcjJN+6Jd+ +6Jd27Tlz+gn0Ptg9dO3aQ6dcM0TySDuG7HjDihPGu/0iv2wb9fi9uzzxXdXX +M2SfAfzOivx37AnPfHDRLc2uxrfLfb6L3U6Tr/q850DODS52l3o6rHW7xvqg +B2qlftsIl8V2Wef3ohzXedmtrub66hzdtLoVLhmzysyOaW7S9Y91Tbk23fN3 +9YvbzRmyeofrivMK9NvhfjNnZP242ek883sRD0H/d7uq7366vmGjdP5raIzP +XBrjYZTUd7z8xIFHnfhC5rww9QujX7/SKwE+fPBXG+xzSJubv8mQX/xuTvq9 +iD5rLb/B/rMqBW8jDN7AI3FS4qbgEbxua/AKnTTv+YdBeflV5/GW2qOkflzb +mHvXu39BtEsaYpx2obvG47NB7MWfjbsyZ7c2uRUj/YRxdbr2SF/HeLrolnmD +B+IcIU6dSupZhw/jutAO7bJuX8R13SbSefF6n07Oy2/Gwbjwi/c97NhxeflK +POyl17Y/b3pOLjAP5jUq7gOs5uPZC13vPz/5h2mXN7iWvlf987yHF7jlVjl5 +10dyeHg24iXgf45759fTntixpck9XXTONxNnVLqXz/nLL6fn1hW7+ZpIjx+f +s/bzC57pceP/dlvD5Dl35Oz72Zc8N6vHtT5ecs/IPz9w4GZPN9SMHNrjGs79 ++Ml9V73GHXNB7QvLVd7qvi07rvjOH3rcXZvPenPk8/e6w9e+ZrnNGnrcoCH/ +qDn9xyfdU/cdc/AHH/a4lR/c8+URA3piPL+fO6S24+J9jn0zc251tx+mrfTm +pYOkpB45gFyAHtAT7O9s5uPuC6Skfgcft+b8dTrXOtfzVSqph4/h67F+/dJ5 +V+r/HPUYJfXwOXw/5aLnTyjabUak33S+FTm2ftSL7Avy/PRHPqv/7KZZ7oTI +h4uiPBvy+Y9tJXvMkTwH6nmPfcNAxw1xPA1mf6zJfej1eJNbIdKbnGuI+wDz +Yxz3JyOnRsS46Xfen+oWfpC8lUcb73/sng/dtp+8P+Djnw93o3zcb5H7Z3U+ +DrgoxuPaYjyuzfWNdqCcL4zfhXhl+p07/V6L2DnYNdjxy184/uYDcv7Ba3/7 +/jeP7FHvNol2KH7T5tsf/OuZc4dHPHSJvYOdemvsJ6zHFLdKtCsvi3zLeLAz +sZv1Pmayo4M9kerRo9gJ2A3osVBWuD6+PvkN+BEhrtvpbjy+wu93XHdW+V0b +zu9092zdd60Np38U48B17hkfF07ntB6K9j8l9XxHOyEe2Ow+8vHGpOeGxHHc +u+YEv3/THO1bkefRrjoo2lH2fBB2FXaU2FU+TpfzR/teusYLJWPcQd5+rnMd +vv0aKannPb4Dr+B5bR/nK3fvevumxZ3Z+sFOd35f4hb3O+7y+X9pd7XNx0xc +5450vueq6A9NjN+f4u2W7Pke6g/a9cHlDzq51P3WtfS59rR21x7xcHC0+7FD ++O5r7zc2xnjgPHfYTQPrli8vdRf6OF271PPerGj34wdg9+MHXLDRVSc17vdp +5vwN9e9Ev4DzN/gFfaKfEMaXPY9D/YHRL8C+xi/ATwjxgGTfY/fjB1CPH3Ds +4BM2HHBfg1u7fGrvf5yxwG27wmu5+efsjMsOnHvZatOdu+Xg1Z76fpq76jcH +/nXkIdPchOh3wJfbHbnqvIvcNHfsjstdOfD2qa740Bde/GTfae7eRY/88sM3 +0vmXG5YbNbPPl4y7IcqH+W7NOA7mgX0a/LF0Hibs83ZKPe9Rz3uHPlj7VFdN +Tu+N3fTBhyrudXd+edsue72a4gDMg3mhT/B3QrsL3Zc+brTIXTp37yvK96p3 +u379y+9av0/nUYK/m86jBPpudi97e7/Zzegf+JT4zo0+LtPlnv6o54mfGq5w +j5b+eac3c/p349O3PGO5M18/8Iax5bstOOlmd1/LzDWKyi50j+/1yZybN7/b +Hfz6FSt3t/Z1281qPPTRox+TPLQL/br2RPnakzkPUebpoEe+ox3q7XmI4hg3 +2SjGR7aN+JoQ60fG96jnPeKqzTEOFOgznY9oivVbq3jTInkvxB1Tvt10P74k +z6nnvUC32XMKgc5TPe9Rz3uNMf5mzxkcEOND1PMe9bxHXI342wUxfoUf3xL9 +ZPHr43t8Rz3fQUeMDzqhvwcuWO6mXacPl31/8N97jYXu0LWHxzhOyscHvyHu +syjiIeXT3xzjgzbPnjgiMN/xHt/Z90K3Je6g4+864tJNSlzr339R+9lN3Mc5 +WcqvPj7zh6qvJ4mf1ifK6w1j3IX6W31cJ+XthvnWx3yMene/19spPzfEeWfH +92dJGcYzK/q/KR+ccTJuxse4GSf1vz5t/58efKLdXXh456kbP1bitvz71n/d +6ON2d8sKVxy8zpTJkidizwEwL+ZJ/UFRD622ccivOD/qmSOj3iGPBjsjfFfh +bvF4qYhyKeVfh/hJRYyfpPd5j++oD3SX4kmU1JNfdHDEa4hvt7qPI16Ri6wP +JetGno3N42fdWEfqA/2nfOpVPd11Rf5P+dWBj1N+NXoOuWvzq4N9l0rqAz/z ++2lN7quDxjSukrOHbT71xg88uU/3D++5U+ZOPbZot2z+dLCjUr502E+aE/sj +/7Rb6nkPuY6ch4/h6xYvdzpiPtREsTM1PVTJvgZ8Dt//pe21N+YesMit98RZ +5YNy+GXfAvpk3Da/GT1ycLTb7bkk5NoFcZ/5oZhfwL78HXF//IG4z31azAeg +pJ59dL6jHdptcl+XXrFqjr7PrV48Jefv3XXaJbPaZ1e4y7+fs8sbU5vdrs/2 +tHy/faVrbrvqsQNfTPm/wb5tcBtFPnrxm/1y9kupK/L72eXuhw2C3fnss8E+ +vfzy57+8ZP/R7h4fb2txA6M9il2KnUo979Eu/Uz2/FftZnt9X+davb1Z7g7x +fN7ijjh7y1uvu2OUe8e30yV0F+Rpyh8+N9IZcVj8KOwS4rLLx3UJfJP4FL6F +T+Hbm/749s8+XLjQtW377KHrTUz5wxe8sM6lw94rFjqd4Pmo290X/d5to7+8 +vS9nRPu6zQ26pPv5Y09O+cPXeblT7oZ7PJS7kjwerm9xb+XtoMNb3LT8fvac +ZteeX++VWmKcNO33zDngqbXWnjQ/jivd4/k77882xPh/u/DDgz5Po9StUpHP +28jJ7z/k88rGuCO3zueZjZJ+GUevzfLrWO22Oy2H/7o6t+NF+TyWHD/tmfNP +XmhxW7w5LOfPjna35+nz+C63x6h5d867ZaE7/Lhd7nhb8lEXuMFRj9xy0C4T +X8rh6aG1Tz3t66LXpKT+eZ9Hl+P/Ha746ZbKd9wKLbvveXZzh9t6v7uertvz +U7e9z+tqdXfedOM+x5wwM+bjNcc8vEo31ud11buXfd7dQreDf7/WjT/wwE23 +H7TY3XZl65dz96t0Nxxw1ifH9m6WdqWf2C/jWGu1x4aestMTrtbnq/VISf2w +mCd4VcwbxI6o+d2v/rnDxun3SbqvefiC397fFfOE5rm7fJ5Koxvj8/BKY55U +m+StkceGf0keBXl15Nnhn5J3sZ3P06uOeV51bo8nXrhx+PNj3PhDr16j18ed +bkzMQ+wf8xLZN9oy5nUe7fO4ymMco0W+o52Qf9LpDrsr8D/90O+aXi/XRT+6 +Wkrq+Y526Id+w7zmumP9PJsEL+Dp100ndo3deZL7yM+jPebblLtbonxBvpM3 ++/zC48ce/02Ju/nU0pU2+kV7wntch/E+X6TRber3LapiPkq7uz3KqZtj2TvW +vxbzQBfHvFDyh1btCnljE2O+1YYx7+mUVytuvK2zzh3y7ZPHHzNpkeQzfR3z +vsaeuNLWDdMWub6jrvhoSWuq571e2+TzM8vcWUf9Kge3uE1iuxNiP/TLOJgH +8+od8zivjHmdOz153yVPnjzZrePz8Nrd4SMmnzTgqBLX8bNnbzj/sHb3+2ev +rB1xYs7P3fHgojW+me9Wj3bWAzEucmvcN9w26sO/+PytKvc3n1/VKPm2W8W8 +3B1jHG94jMcdHfNev4p5sOS9f7/yby8e9t40d6afZ5tb5Xdf+Lwy5g0egh3T +InJ8e5/XOt/9wuevNbqdb7ph9JTLG9x5z7164yZTkr9c2rjBha+9Os+NjOMg +vsi4mUewdxslPn227z/n//s82fnRb0xy9uzdGtdZYdwUd63Hb5v77dfb3371 +xKnuhSev//LEc9skLkqcNOQXpN8TRS4hp4hL9lP5ygPd1PJjbtvukQFSUh/i +nz2SB7pjjAczP/YtyAtnXwK5MSDG5YmbEtcnzn9kjGePinHRF02/V8aSuCkl +9TvEvOpXoxykHdp9Ns7zhUg3y/t4bZuri3gL+1317rMoV++OefULI57IayXP +lbxW8lzJayXPlTzGLVr3yZlQ70ne4wkxr/FvMW+wV8zrJO+UPNSpMQ+TvNWQ +b10b5cln8ftat7z//jO3X8xzXRTHRz3v8R3t8B7fvRHfuzM+p6SePFryap+8 +dPmB6w6odLvf8d26L+fsdubFPJk3eCDPl7zfbT9qv+2lVR91h26w//WnTupx +o1YJ5eNPtfp66E7vcxTLuQj2LdjHYF+CfQry+snzx05jH4L8avL6R8d83229 +3JoppdRHOmffgDxc8nKZN3muy8f5j7j/b8UP1L4jJfXktZLnetT8DR6b3zTB +VV992wtX5+w94nrE+chbJY+VvFPyUMlTXtuvTyqpJy+VPNWQl9MR6bgjysMu +d2fcL6DcM+4jBDqqj/Nd5P4Q44prxLg+JfV3HLx8r6Ez+d3hesmXGBDzT8gj +Ja+UvFPyUMM+fFvMo0x5qOSlsi8U4uDt7uTHN63644ROVx/jvS0xjn5ljN8S +xyeuTz3v3WHyTNkXYJ+AdumHvFXyWE+K+THPRv+PvFHySMEzeA944N6M0XL+ +/Mp75r710mNjJb5FXmLwx8kLqJbz6yGvrkbiaeQ9Uq/vn6iRPEn60ffHjZW8 +zbDfk+49A8/2vp2WmI/6tvc30v1ev4/7YOzPUFLPvTVne39qiugp9NbDfn8l +3UfJOSXOLbFvwj4K7/EdfvTfo//Nuftf3TZt3d36tLszY7+/i+MI61AqeYsd +cb1aIj8ujmV3rCcvjjw58mTIM4SP4evAT03umHj+5fhY3hHrS2J+TaD7Rtmn +XWPikZt+e8c4ubdoQMtT729aOkbqeY/n9/s4ZJGb/sZn9z92z1h3hvebiuQ7 +3iMPIeCTewlrYr5ljdTzHs838HRR4wZ5e7jGreH5OH0n9yO+3JGTmyXxXEy7 +OyCWq2wc7EFK6jlPvbvPk0n3UYR9mPnuQJ9fPs8N8HyVfY/z2oO8XdUQ43WN +0V5tjHEHe69nQ/Tv0705vBf4rC3GBdujXGqJ8qc5+vXZ+wCpZx1Z10XRzvjD +74evucu702Tfln3cX/v4wzj39pnHXvCbJR9LSf0E385id67341NJ/YrXDyou +fW2am7P1Rz+usHiqO9nb9Q3xPEODuzyer1oSzz+NumTJuJ+apkreX/1BB31x ++ys5vPV95qynt18Q5U3K3wnzSvedkQdGXtgDsZ/AD/PdCm9d9uSL/aa5fzTu +PbPt4XS/Ge2SZ0XeFe3SD3lV5Fmxn7JC88YbHTPyZsEjeEXfl0f7N9BjircT +5/xm69dWfnjGIneet6/TurGurPMMH7dM8c2vt/p40jcrHu4OcbP+cca0Hjfm +lF/kVNcb7vIv78q5hK/JuTbOuXGOjXNtnEvjnBrn0DiXhnw43evhVFLPOTXO +rXHOjHNnr3n93u0me/3eLXqfc0xblgy8488PX+e+ef6ox5csud8d1vnjoIMO +ekjymu72/fREP6QnyuGe6Ff0yHe0w3e0w3e0w3e0wz4R+0YPrVr6q+e+nuJy +RvMWP+6WzvVwzodzO5zjafLrUxf3q+uj39nlPo/5xAHvZe73fh1SXJQ4KevP +OVTaoV3WmXWnXfrpiPnL50zZ0ec17+bPWVW7Gf7c1aK4Ti3Rjkr3JOFHUlLP +e3w3xq9TSbQ7J7sBUZ8GNE8Sf5H8EvzJcF4r7VOwbxHOhy6Mdj522MK4P70w +7s+me1SCn14f6abe3ez5rj7GQ+vdZf6c5yz309g1Pxmbj3vGknrw/YA/BzA7 +7tOk+36CvGuI8i6V1DOOIG8bxB64L+rziTHOwP5+yDNN9+P0ifocPc9+DXGW +Ji/X2zP3Mwd9wX1i5W6jaPd86fcbxsZ5jYl0k+4PIo9i9Rhvwj7D3qIMcf06 +t17Ms6iL8aiXo/33j2h/UZ7j6YTfgS13A7wcK4/nvMolDsU4GfcBMd5VEvM6 +VvP2Ab/7PVrmwbzuj/Gy1pgXcrPX9+k+PMovox0JzHt8Rzv2vVNKrumXj5P1 +Ht4yJz/efhFvq1720C/+1a4Er+ALPIJX8AweeQ98gUfwCp7BI+/BV8Jnka/g +s29LSwesfG3OLnnmD09OuG6yO2TTXV/5+Rvtbvva2vvq9i1xv3/rxoY5N2fv +e3r8vH1fWOG0yXE/ot1tEs9Ht0Z6s/ebQ6fwLXwMX2s+nxf3pXJ2b8xvWT/G +3eAL3oOeoXPoHj6AznkPPoKvbo52N/xECZ+Rl7Uf53WifORcR5AXXW6st1tG +RHx0uYPjvsru3i5O91et4de3JdJPmezDsC8T8ojS/bxDflz11OZNcvLpkEF/ +PmHnarfWdnuvvO+ndW6TnZ/72VlbVbvrLvv1HSf11LmmkX/9/Om7q93rN989 +uO/q6X6sC7y9Uu0GeHujTur3Hr7yMTuuUR/jjmUyLvqdFMfxQZwX87wyzmOP +OK8gZyvd017upnu1Av+mknp5L37HvjD7xGVer5S7vbyeqXAT/f5huu8cux47 +H7sf+x67HDsdux37POi39qjfUkl92H9tj3HCVN7k6aRd4i+BPueLXY6djt2O +fc57+h6xKa6/57+pYgdgFwz+1T7DjihPvwcQ4lGt7uaob0L8o9Wt9lHQQ+yz +Ea8lj7Qn6qEQP2iN58XLkl6MehI7EbsRPYneXM3jc5F72+NzkehJ9Cb6C72K +3kSPhrhQV7TfUp5nkH/d4ofgl+C34Mfg1+CnEBchThL883Qf6d5+fM0xDpTu +xeCejJBvmfJ1yYMiLwq7GDuZdmiX72gn7CM0xn0F/IHGuK9cFeND9v7oxhiv +qHLt3h7O+cHeHk4l9cjH4J81uYWz9mmZfe0Q98wLf8rpu6FSUs9+WPB7h7ri +3ov/ls87D/gd7E7z/DPcTfP882GMt0102/h4WyqpFzvM0+XEOA7yCtpi3Kgt +7pe0uXYvFz+J9mKRlNSHfIKizH3XIV9rXDzHvzie66+RkvoJXh6ke7ApQ77W +4pgnkvKbT4l+2RK/PqmkPsid+VEOpZL6kN+Qft+HMvDJfPE78UNnef9/mltl +03tyeneqlNR/4fN30u/fXBHLkim77HvtLdPEb8WPDXTZEOk0ldQHuzH93s2I +WAa+aHC7XnrXyW/knvf96L5rrszJp08HHlx6VI6v3tx1uTPGtqb4wV7rH/f0 +Xbl5N/9y442Kc3rx8ii/Ar93x/h3KqmHn4Oe6477hHVRD6aS+hAnSvfsn+Tn +2enu9fNOJfUh36Yz+imdkR7muj08PVRJSX04l2bvIZ8jdMG5Kc5Rre7l29yo +L+bGfLV07x9lkI9zozyti35zbYybkb9XK2Xwe2ojf3TGeyI6o7zrjHollft7 +vdMp/TEOxsU4GQfv0R/jYFyMk3HwHv0xDsbFOBkH75H3uWnMA0W+kPcX/JkO +93yUF+yvbfibN1fM7yOht8O6VMQ4SYX7yvNhKqnH7sO+w+7DDkRfkVc4/ux9 +Dj590EK3zt2NR+5+a32cR32UR6mkHvsOuw95jRynpB45h9wjr5W4DHYKdgvz +ZN7n+TyWdP/pnlEP9/f3VJAX0+Vu8PnXo13LgrYPLrol3esa9HlLjGuXy72t +u5/60+UnvZH8FfwH/KLAZ+k+OuLuu8f6p6Ifwj0l3FuC34Ufht9PHAC/nzhA +nxgH/tyvY7qn+PzJQ1be5t1mt9P3Lx9w4DMV7tyrxtfs8ECz++1Wdx0x9MsK +17H8sAsvHJV7Pn2/j0cPJm+s2X3/ZK8BG+TsxItm37FHr9ua3UTswqinQ35Y +shc4R49/wj0OxOm5xyE8HyX3EJA3SnnLb13f/D0E3DPBuQXurSBOHuRJddTr +dZI3y7l2+mmJ+bnrez7sdo2eL7vcPR7fXe5Ej+8u0Zvo0ZA3mO5vPN3HCTrc +HlEvB3nf4XaIepk8HfJ2sBOxG7ETsRuxC7ETsQuxExf+uM/Vr6++yA0s/1Nd +Zc6eKy2Zec9V76T7HteM9uC70c5bI/I5+5RB73RHOu0WOR/svTqR4yHe1Cly +OuQJItemuyfi/mWdvw9oRvQXW+P9QzOiH9nqTvd+5QzhU+IugR9a3SE+D256 +PC/R5nb703qPzW+a7L5qvOOFq3N8SUn96n4+6T5JSurfjv7Q3tG/o6T+gsjH ++EnnRv9rQszDo6R+prcj0n3NB0V/cLXoj1FSH+IBLSIX7ov+G/4jJfVfRrmB +X0dJ/YyYF/hy9A8pqQ/rme6Lfjv6tzdEf5CS+nBfRZfINfjjAXPPB3xIfhTn +7Lk3jXvU8GuII5Z6/JVF+7/FXejxWBbj6S2SR0JeyR98XHR+PA/WIPvB9fGe +KeIZI6N9K3iNeEZuI8eJKxFnQo4iV8vjeoKvbyOeaffaSB/gZ3G8t6sz3uOF +n7hVPH+HH/bqZi8eclSOH5/2+7kL4n5uQ7wXbIHEFU/39mq6/5F7OdyKH/Y9 ++tUuOVfJOUvOVXLOknNtn/z+i0ePqhruzuzTc+7f7+lxyw8au8HWn9/jPv3F +hnt8ethwd0Xp6ot2ubhL7rng3ouKz67350A3OCWcC+08ccwW93eUi1/y/pF1 +t643JP3e9m3rDcnVpN+RPvvJ4q93PDv9vrb+vtjp94ulffZDeA5s29HfV2TG +RbvAtKOfVwgM/a42742rD15tnuRbAZNvAcx9eMDYERpOeNnJI6RR+rF4YrzA +jBf4qPwwjyyXcdEesB5vixlvixlvixlvap/vaB+Y57TDc2Ce0y7PgVm3vy/4 +2aS3KobK+p181w6Dmx7/UJ7/1sMT5PkXvj7BBzZWX7Lh2tPdD7Edvjsyfgf8 +xDrHfHXTsGnO0stvivrO77NJhSsZO3u3LfdJ4z5r8UYTjrirR2DGtaxxAB8e +2wX+bOplt/xxxYTHa7qHr/7QsQlvK637Y//3nu8RmPLYN7dqOaSoVWDaYVyM +27Zr52H7OcQvdLs70o+7SOCrHv7puFOnJxg6nJnr5bmcXg/0UWroqVTmiV9G +ST18gP2zrH5pl375jnZefzH/N9YdPOewzecc1l/gn533+frnff5mwXpg6IB9 +Hkrq8528cXWNy1PNmYvnC3xE7/LcEiwoWA+8MDe7l49uiOtQJyX17N9Rv3r7 +a2u1v9btZvi/Timph6+oZx7IDek3+lHsy8HPlJLfH9/fMUfV6xwzR+Atc9TW +d36CQ3NV7orHzh/46TNNMl7i57R7ch5tJ04ROffLHDRmi/Q7WPwxbvmdiNge +9NTh8d8mcoL5hn5GSz3jG7p3npBeE/h6T29/cy/5fupc1bn5dX9O6OpSz8ev +C1zk+ekNx3gv8XQ5WODjPV0Olvbb8+jp85HAMzx9fiz9HXn75NNunzza7efp +4wXBC++P2+OeXIslAg95Jz+BUvn+ihNWvuGElSe7C06+dMrY2d3CB7y/Sk7K +PXXdbIH/kePmfX9XJt+Pqt95XP3Os9wbebHRt1XkAM/vOmDQvQcMqhS4K09e +ay0U+Nf5x/cuLIjXZeFhWfNc1jz+U7rczPN3U6SPavexn3ezwEO+e+SD7x5p +Efi4PFpvaBX40M3zDbQJXJv/fFy7wBX55jfvFPhavy5dAl90cf6vW+CV8s2f +0CMwdGfpwq6zXbf/6zoB/zQ0j+CWxJ9zvyhZZft2gbf+/sAzdr2qU+BRebIc +0y3wRVPyiqRZ9ATzKIRnvtNyoVzoblnrwPeMuxBfAi9r3ey8C/Ex8LLW2eIN +PoQvl0UHFs/ItZzw/82sOxJ89qFX/GrN/Xvc7lflETlR5AV23o2e3mcKfHEO +K+v+OLNgPTDt7+Xx0CHzfsfj+WmBg/4Y6C7Oq6XfdIucXcnzZ4/AftnH1cs8 +Kakv1C4w7Syrn1ExvkBJPXghHkRJ/ZBot497Jk8AVQJvts0LrT1/mus2z0mn +V35IdtV13k5qEhh9BDx5le1zK98leKQ99CH6j+eU1H9wZt7wapH2fubtrgRz +PonvkGvoc/gavantsWEGz8PM98XGvh8t71l9hF+h3y81/kCpab9Cxoe9wTh5 +D/sGOrHzYpzAjEM/T/2Ad2C5ty/yGf6OtSeAtV9SJ/MDZpzQATD9ANOPXRee +0y8w/bLO2o6rlnFYu4d1Wvn4U6dvus0ggT/w8mSIwBt6Q3ScwF97P2i82LHw +CfEa6r/tXP7Cky9tzfgb6AHsNOKev/4233Ci9597OZZg1uUsr+fmCUzcI8jZ +hNdC7wFr+Zy+Iz5MST3zn+n9oZFSUv9IXvxvWil8vIuXtwlmHpbv7/J6o0Pw +McOPZ4TAt3t9MbLgOgBjJxMnA34nZ/X0Lk/w7nkz6pVkT8MnfSL8gJ/HRFnH +EV7OzBb4o7zbee0sl5eqr56T/Jmcks4JxgRfv9yHOcU7R+Yvv9cU+QF6OM77 +n4k+DvNyvsmd6fVWstfJ7w/r0enGn5Zf4AQvWT/vgCWY+c3zduGDJn5UJuN6 +KU9mN5YL/J3Ha3qOnACek5/2oXPcOr4i6dmzds0veI/AGr/DBC87+nnOEHgr +rzdmmHhUkfAV9ZTwmfz+Z7SLKG39r3+Xdxzbhc+gK9Z7I6+/Jgtc7PVbidx/ +grylpB47gHEC7+Lt6kkCb+bt6gQf6v3YqQKf4P2YKZk4VFdefb7ZJvPoyIuT +KQnW8rj8fz4O2i00DvgJfN9xY57gk759w/NHZ0Z/o5cL8Tnwf8rHwNBHIb68 +eOTHOY8p2S1iX0e+hG/+Uz6jnel5M3rdmQKv7eXULIHr8+bhyxUyb8Z7uueX +xN/QKXjW8Yd+Qn+c7xT7N8arGR95BexT0Z/c12vwxX1PwM/t6wci/As/8nx5 +b2eVCvwPr+emyPxsXFLbnQn/1i60enzpejvFPZgv75X6dUhxuSLvHyf79tG8 +GzU3wXmv6YPv6o1fkfQd+L/Fly8K/n/wfvR8GVchumd8B3o/MvmBT+fF5xX1 +xn+pd194wZjW68ZhecWT4JPybtFuCZ7lA5UJpr8NfBwu4afZ+7XdMp/+lXnG +u0PgU/3798v8huXZfat5Aq+QX92x89wrP+QXOtHPRtfmDfwEH+TjsSleNf6I +vCJLz+mPdRR8RDsWO1D7x51CF3fm1W53isvekVeT6yR6W8nbT8kfOt2PJ9nx +z+ek/MiP/8VP8n/1GbtS4tFKfw0UPqBe83OplNTzHnlg7JdBJ9i1tEtJPe+d +EeVEUF9zM/xDnhv1oZ1KWT/ixPh7tMv5GSufqUeOaP5N+Ar9JH9f7zcNNH5G +gsf68h2Bf/T0+L7xU4oEvipPnut/muxYH98YL+2eFPGs/ZiS5N89mmf09Pxp +X06VuDnvA5/q7a5S4x+XZuSk9h9TfPDNPLu1J7jL64u0H8L70IONH071+mau +wOt4/pwr30MHFq8Wbxk8mHFCFxLfinFrG3+WOI2S73WCHw2XZOZpxw1M+9Zf +F7pW+jnFxfOr8+2CBI/08jP5qXYe3pzfJsXDjsybu8ul/TzeB8ZvK4QHb/5e +keAFfr8h7TvZeT3s98UK43HrvPk5MsGX+3hfihNYOvTiuSXB3sz7qqfwuuTN +np8S3CvvllT3uI2j3XuysXuxg5FDyC/gK71empSpD/SX4kw+7HhJgmt990me +8F11fvg3FQu80Ou1SUIn1/n+0j7X5l7vzC1Yr/ep+4l8us3HO58ReAsvOF7P +xHmAg35J8X1NV+Ui/9Brl3h/+22BdTxtlMhj/TvFC6U+7wV1Lr/Q7AvVm3XM +2g3Aoi+M34heQ55bu2RZdgPwg9EvtvEtv/25wyKBH8+7D08udH/1dmSK/53u +5fZQwc/xXq5/kMFXwOtEocPeMW4LXOYZcFLBfm2cT/sT6X3k+JWeTm8SeIrH +6wCTtzBQ4Et9HPh9gY/1ftMgaff1vHnY+0ORq/19fP9xoe+ffD8fmjyJIoH9 +7usb4wUe68czTtp/ydsxE6T97fy6jRQ/HzzyPXIZOJjrUwX24Ye+aT3rPTlN +k/arvZ+W+HFPb2elfJINfJwqnW9CLp3n4/gJvs8bkGk/e1Uvx9Lz8fnlK05y +j/E87/kixSm38/icKf3f5uNHKS/gfG8vzZb3990r/1cpeMBOutvbkxMFD6U+ +njV5mXgqFEeZFv1Anq8T/UBgG2f5NsZZeK73k+e5Pjmt9UJrgvufk2fslB8z +yO8ftgqs94vnuc9L8oG29H5znmz2SM93z7tHp6b8mgO8oZmea/t2nrs3CBSB +b/b4Ts8neMc75efM8I5Reg4fsa7r+DjXNRm+0XHzIoHv9fQzPMMHWl6m/dBH +vL9XnKFrYNYPeE5+W+v76Rm6s3Y08BNe3qTnH+XJ57kqgbFbsJev8/GNBId9 +rRT3Zv2Bf+b90QR/6x3WtO/HegP/1dN72rd72Pu36bnEXSK8k99WSnH0TT1f +pbg5dgRwkd+ISvBQv++Y9mORc1YuWTli+djyqdjpUT8Cd3o7OsWv9/HvL0r7 +FV4//st+hS//Zb8iz25P/ct+hbcj035FIbm2LDkDHOK2ya4M+i/BlZ4NOsx+ +QGdmPxi6YFzeTBuZ8nusnCgkFyzdiL0c8US/hfbR4NeDo97a4M18w6dl9JjN +J7J64N/L/azcKiSXLF3bddbx8+w6WDq3dGH1kKVzSzfYV2fGuDd2EnYw8Kne +LkzwAz7voEfsZ/R1ITsYuMrLp2RP4/eDpwGeDhJc7OVxgv3nByb4Ex+fmZvJ +H7PtFmoHP8CuP3p/g/55ejnS7E+ncaL3bFzjIhOnvSHuoxSyk9nXYt+k0L6K +xFkL7LOxPud7uzStV28vZ3okHq35OcE6361XL+bnzddnRsp8f/T+6JiMXnt/ +GXaJ1WurmH3LIWbf0ubhWj1n/chlxWUKxWGWFWdZVlxkWXEPiU8U8OOX5Zcv +y89elp8MTFzI5kkDn+Djs2XG/0z5qciT66MdYPOKiRPYPGDgTf0+WdIX8NN5 +foMj5VFjN1o7Yll2YSE7wtoJ2AHwD/uAOv6S8jKJ70NnxHNt3oHNC2B8Nn8b +eQOd3+b5ZbjwH3IVOOTzpv3c0GyC/bJtmfYZr/Z5K5NlXCJn4nwWen2R5hfy +qxrkXi3GNdn7A58I3N/b/xMy+TTYla/7jlK8IexnpH03SvZx5D0vHxK8Tl59 +79su/i54XsHs2/wQ923svo/Nz+X+ceAqj+4E+1bGJnh7H5BK+6bf+/2SarM+ +aX/uTr9/kuBpefLtKTP0lPbNn/b5Zynu8U8vFxIc4oN1Zn3S/h6/vwB8r9fH +Cd7Ny/sUzyZ+A3yY7yDlNx/v13OM+7n391I8l3V+1fuNYwT+PCBMvt/ZK4hE +v5sHgy/5oT4P9BGBQ57nXzN+lI63Jz7BbrN5QegpxrWsPKFCeVDaX5tunif/ +qFCeD3ChvB5gna9cLeMXfYR9+1/mLSGfbN4SsJbrAwVex6/fG0b/p/ygcL5g +vNEbRQJv6uX5x9KuzYMA3suL/0RfZ/h9+rRfpeO+5Zlx2n799ti1zUb/JJj2 +bP5Soe9k33oZcszuE7NvW2gfAL1XaJ5neTz0FBz3UO/fpPMY8DPw0V6vp3g0 +6wd8hbfvPxX4KI+AZKcf7RXIeNk3g45OzovJ1dP+4G75dItb0vN3fNw+wdAx ++/vAb3gBNV/gv3k7ar7oWfjhV15PJzjkBSf4P23X5octa5+8UL96n7b1/xvv +4KkQnumffV3kPP5SkJsJxi8J+miEwOd6v2aE5MGgr4C39OI5/c6BzpNJMHpL +4ynBet8t6emBfl2qC9bb9SnUj7YXCs9DzzOLB5tfDF6JqxfaB2H/xeZR2LzH +ZelJYOjX5mFY+4zfDRF7bVTIY9TnhBokzwc7ttTbHSmP43WfN5TNXyr0HvMq +tM+BvmQ+xAetfGXfROcf9BPYnnu50+9H9I/fp3xTu6/J/k+hPPl9vF+cYOIY +kt8X8+jFj/Z57wnWej/pne6383x3icDregP6NXMOc6DAc3z86qmUl+a/e1bg +j/w5mPcE/oe3j9415+kGZuLI9F/u/YHhAr/s9ddHJv+uSOASn0c0SuC3vBwZ +LfB3ng7HC7y2z7f/NBOXLrTPBLyTsQOPMHamjVuT3wWfr+3t/qQXQx5a1h4Y +sgy7cln7XHbfasgy4hzL2teS/ZECcV/ivHoffJ5b3xNwiiutsX+egNPzU70f +3COwD5t8kZ5bP7WQXyd+rD+nkvISQjwiwYXofFl0p/Mhkl0V8sS7jd3VnYkX +I0f+V3z0v+YDm08K3Wr91WLWl/yxdH76gryUey89H+zzQXsEXt2XCaZ9mw9c +KI/sf73vRf/Wni20D8C4bZ6oX6ZX0rnymT6gkZ5v4PMeEp5u8no7G4cuFNcE +LhSnBl6WnGH+/ys+BX/Wni/EF8z/f0VH6DXa434U5PFwcy6gKJ4LAOZ79kP0 +fOoL5mEC6/zfgVJST5xe4tv5MN49yZ6xdo/ez0v5qdTXefmU7AWd/zDM5HX1 +6qX1d/YeCHvPwngfp3ozc68F8LU+zv+xeZ7uqbD3HuD36XzjFHfHL7f3ZFi/ +296LYeO14TxlY+YeBvxKfe9Cwgv0/O/vtbD3Rth7LloyedGsM+/rPOuWzPkm +7HPgd7weHmrOk4/PxCmXpfe0XUn8uVTsauAN8mk6gxP8st/n7zJxiUqB6/w+ +WIqbP+oDKOn5XC//Ut7Xzl4+VppxzHOrezmT4LCPmOANvFxK+1ohDp6eY3+c +6eXmvMw+NHQBndj3tH5ryMyz0Dzsftz/al7be/s+xQW39vb/qGXGNaz/XSiO +QRxe012lyIWGeA4Ce7EyniMCLpR3bvf5gO25KPLDmn0/SW6M9vItyeXLvP74 +l9/nMfnU2FMSF/V20a0yD84f8V2IByfYd3NiWRxf4tu7ff5A0ivIG4tf5AHj +vcHIxUv8/ui4DJ/d5N3AFG/63BsCy+ZDiaPE+Qa3PJ2Hutn3P0ngC33/JTLu +QnRl9ynYlyi0b3FYfjvvwxRnWMHbjwm+y9NXsiPDOaQEf+L3pVKcyqvXzesz +8ZY7vV2T4ipnertnUcF6y8/6XpGUFzrDy62UP9ru+XtEJs6E/m7357pTfuK5 +Pm6Vzqct65zc/2pfBhj6xs6BnoN9PEPgc71+m10wL/Uovy/bkNkHY9zcBwjs +zdUjEnyMj5dPydzLE+LACYZOoTudx9tP6MaeY8AuZv0K0ZWOH6TzFOQrYH8x +b/pH3/K7rbSLXQB+KbW90CL+kc6jSfcN2DgOcgY9ofPME76gK+iQdokP2n02 +u0+m9+9mmLhhOlfIOYlC9Xa+9lwa85bfK4/1Ou7bYuRfi9k3GSzwWt4/GSJ6 +FfkN/KLfCLX3m1UJXO/5ukq+e7+A3A92dKPR0wnW5xmz+/a9fd5Teh7Gke7T +An+F5mHHDR5Zf/AFDD0HPHO/euJje04t2IEJ5ve7oY+TvbxMsI4H9jPxuX4m +Ppby46EbYPgE+av5rlz4jOfgWcdH2ow91mHiA8nfBA+sJ/h6xIv3BCNH0J+c +wwD2x2tvSTDt++2RD1K+EHKMedA+6zjO5GmFe8+qjByry5zrof1Jxu8a5OPs +g6S9403eyt+94ikTvNlzZswDOSh2cWzfm7E/TJJ5g18dv0z3OgDr+EHjMs9t +IM+Xdc6z0DkUxjPP680k36/x5dyI16x8L3TOELlW6dtL9wiu4vXw7IL1Vh7+ +t+dAGQ95d8zXnnskj/A+r2CTPF3Flwlu9HIv6Z/zfdwkwci9cO9DKqnHXlwt +f93DrqVSUk9eq7YbEr71Pnz2nkPsi4t83PnNzLmwcE9R0of2nFjIF0vwxz5+ +05jZj6F+WXZ2OAecva+G+mX5tcuyC8H7hj7el/SdX5bnZ//XeTHAhfJgrDy3 +ee5hn2Bu5pwe45vv2Xq6wOH+xBRHm+LvA0kl9cx/Lb/fPFpK6uk/3FuW7Nhw +b2B1wXpg+O4Rn8ef4lXj/PzSPQoN/pxR4tsh3k8t/a+/A5Zz7AX8BuRsIb8G +evj/PZf9/ysHiG+R/8P69ffjyt6PSL13R5taMnQNzDrZcxafebxWZuLi7/o4 +boeRi51GbhaOm7/kx9Vl5G6nkcsJDvey/cu9k37/KMHCdwXe89fXrd+VicdS +j3wJdry9rzPly2Nn6rhpshvtvayLvT6dLnLVnkMulGcE3bL/SKn112iJV2KP +og/svWGHe4GU8r6DfZE9327tsGDfpbi3vWcsnGfg95zTOUhtp1cY/ZXuKVrJ +66kEh3nyO+SpPe4t0vI+waybvhciwdARfCDnEaO9a/MkyYsEDvf0ZONX1k4N +5zmanE/7PSOLjxO8Hp0j600eo+wLej2S1nlH7weUFay39FAoroOdXygP95qY +hwsc7MiUdxHyjhMc8vgTHO5dSfRGGe6BqXCdPo6e8KHvQ566DL4rlXvvaPcF +HzfP0q+9Fy/sszTJvYE6r6Q9sz72Hq2hvqyMeSfpfZtHu6y8Z+ywwKfc91eW +0b/Bzh8p9BrytFNJPfopnM9J+Uc2L8oP441EH+Rl4Qdh1xFntOMExu/om3c7 +T6uWknrwtbLn51RSH875Z+096jsiHpZ4Okkl9Q94vZnVb9TzOyyWHuT3J+M8 +uCef39ljPfkdE9bjjbgeQR6Nkf74XUR+t9DGa2iH72iH7/T6pd8/lN8fjOPU +cjrd58a4mZfO40zrzr3+2i9P8ZFw72h6Tmm/4z2dT9DiWlrX2aPnpqRn99qt +uv9Wa6d7u+T+vO82rlz5sup0P/dGp20x7cgS9/Fj91z59+Oy+YErrDrloWfu +Hyly7cDtvthor6Yy994qJd1jpqVx0a7ORy532249/MFVH0/fiR6N7dLPD4cf +0XX/qSmujl8wep+T9t7k7Sp37I19fEk969FyysV/ffCYee7U9r9fsvPjpe6U +uF6sw5pzj9n74zMa3WX3L7f9yM2sf1Lu9nj1Vytc8lC5W3PVhSPWXn+MGxjp +A7r4w0HunZEHpvs01v3p0cWP3FznPhv3p7Zzfkz0hlx884V1WxdfmuyTNxur +mq59L8WbWBfGzTwYJ+OmX8bBvJgn42TcjINxXfXE1TeveWWS18wbPFz24N3v +P/tQ4ueBrcdPOv+9RI/bxXVjHVln1l3iCXOnV+53Qpf7f34bk/A= + "], {{{ + EdgeForm[], + GrayLevel[0.], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJwtVEtIlGEU/SyTmvGfxz/OP2FUBD00aNViRkehkhoLtBDbVJCJhkLpxhbO +IjAzgtQKfEDPVfQYoaIWQZsWZVb0zgcu2/Vc1KonndO5i4/vdb9zzz333m9V +a3dT1wLn3FGMhRhZbLYXO3cP6/mQc1uwr8ZIY1RhLCpy7nHMuTHPue4S5w4l +dH7ed24d5s14iyu3DfsHsB0JnOsFzlmMFdjXhYRLzA3Fwi3AfqBM+x3Ay+G+ +GeMZzvuxj8CmH3h/AvFpSzk3BQ6jcHQYHMZwV4nzPthO4GxjFPY4PxZ2bhY4 +eeMeMf6r4Wc91uXAnwZOAW/6YH/cN1/AaQ4Lg/5GcV6B+Rv8j1icg4F8Ly8V +fjv81GMsAf4mXxr+hc3zhGI8h7OLvvQdxvklrGuw/hyIN/k3YF6G90OGE4s4 +N1cqzdowBjEW47w1KW5XocPDhGIZB94N2Dcgnr6wMNoN55HZ0HY67lwK8Zbj +/EBScbdg9oqkOzXZmVRud2G+Ai2DiPKxD+tf4PPUiUud8SkB3l7chbAuYF4T +EV9qRq2mnHhQH9bVT2A0RXU+g/WeqPJyE3Ml3nbA7n1IOaD+tP1RKvt604J+ +PwWqoyHM93E/i9h6rBaZ75eItwd3GaxfmcbEZqwdgfJ2h7p5qgNqkcd9p9lw +ztn6heWR+byMN7VYT2LdkFQddALveyD/t3GfL1OdbYXNUuDPgdtK4DSaPd/d +Ray74fdUWPzI87Dlivj0+18bT/qw1ljT5M189FqPsM8qTOch0+SCr9pnvIx7 +xFPP0HcN/L4FnzO4q8X6TVz9Sdu8xVtnPUqdq2GTxTgdEjfes06yvvr9N3yO +e/oXWDdPME/GxPdjIG7sIfJjPfB/WAu8iahqlDxYr6z967iciSn3M+C1Pypd +6i3nrB/mjBp0USvg3IoqV+mI6pu1zf6krw+B8sG8pFP6O1hTAylhzJo+Gbyt +whg2P+xT+jqRUq+x5xoTygvzP281Sqxe+9uYi5zlhPpkUtKD/cR3laYdda0x +bb8GWvM/KMD/u7hyzH+Tec35+s9OxsWDtll7m7b/jP9ni/XyEbw7CJzXcfG7 +5knHjP07fPsF8z+MLLJU + "]], + PolygonBox[CompressedData[" +1:eJwlk01IVGEUhk+DzmK697szc3MmioqgP4XWo6lBBVmLxMJdRT9UKKRubJE7 +MyPoH0whahmVE9SiRdCmTaIGlRWOuIw2/S5y1S89h3dxuO/5vve853znnLv+ ++MCB/oyZbcfqsFIwy8VmZ3Nm3dhI0SxAaMFOp2YT+E3gDZCHVpjVw92fmFWJ +rV9mdhg8Hwl73C34Fb5b4Y/Cf8p9Ezl60R7CZvHb8K+DVxNzEH8lmuvAOWyh +YPaE+0vLdTbD/Sb8k/CvYI1Bmq7Vg70ET3I2DH8t/C78X9QzTX3I2kf8R4m4 +NWwanIe/C3wZmyPfA4jdxH/AL4MPwZkldhV6vSWzviz5eFMPeB89aQS3Y53g +jUGarnUCK+LfTdTLDuwhOOVsT05veJyI43fek6lUWt7jF+DRstlO8Ag5L4C7 +GswGwOPUNYdfwQYzOmsuS7uaKLfn6EOjOaNZnGcWP6h5C/g5b9mNfwZ/OCvO +IPgr1gbehn0BV8lzP9a982rkmIyFj1HLPzh7mW0r93fQaw2aqc/yGvnn87w5 +Vv3e0/5UvfOejcNvgV8J6u1V+G8LmqHP7gb+t5K0vabv4KNwTwXNZhFbiHTm +2GdYI34iVj+8L5+I2ZzRmz+DjyTaUe+Hv+leWbVdJG4J/K6gHfPd8p303c7G +2kXf8Y6ieufaS+j9jrRjvlu+I4v4zyLdO+91qn/H/4FX4DfkGIu1Q50N+tfa +g97q/9z7gnbUd/Mc/Zqif9UgvAbdn5FyuLbv9E3iZ/K6c80/1LSjTm8eo9bb +Rc3Sd+gvd/8BXU2BTg== + "]]}]}, { + EdgeForm[], + GrayLevel[0.13052392356240913`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNV1tsVFUUPW1vZ9rpdNrembkjiS01QY3xhW8TjfgGCgUqH+CT9CFPrUhR +WjQaa0F8gMEYjUblg5gYg0YjYNQYo0axFWZ4FRPU+AcqvqLRDwR1Ldci+nFz +zj13n332WWftdfY9peeuG/qrQwi3VYVQg/bk+hCiKITT0b+0FMIZDSFcgnYw +H8JfGGuNQ5iaCqGM/i48d8F2BSbOxfMGvg3AWW8Swo2YMw1zb0L7aSGEvRg/ +FeOt9VpjGO9PYu4MPBPwDKWxBp6HMD4AX/0Yu6FG39J4IsSXwzMHY6dh3avg +axHimFbUGNffjfFutH01sm9p0Di/v4jYvspgD5jXjDkHsc572NN8vJdge3tB +++iK5KeUDeF+2NfWhvBjRjgwrjLm7IdNJa/YV+N7Deavwfwh9J/HOpthuwa2 +J2F8BDHeG+l9Mtr7YLMzaK/c8x5in2jf2zF3XyQ/WzH3Maw7Hb7m430O/Lxe +F8JstIcwbxTPB7DZirFteP6Gn8MY24L+DvTH3Kcd9/Ea+uMY78C+5jTovRsx +12HdB2KtzRjqMLYqr7NNYmFM/wtTmvO6/RALns9o0NPFs0L7NOaMY71j2FM5 +I+z4nWc36P1WN4fwR1MIbYhjVS6E39FvRX9dVngRqw8Rwyiw+AhtvkE841kO +FrTXeYnsiG1vjXBaYKxm1ouHxGct+HeU51HSOPFgnPc0hrAc666KhNXnaeHG +2Nl/uUrjtEdYYQ/aMp53fHbcD3m4C/bfeu4g/H+PJ8Has4HDTthsRPzXxorl +iaJinOY4iTd90c9q7KsfY8/C9p28fKyLxQHakqMx9lCNdmVee+81xyqOLY3+ +rYl4dTPaB2OdL8+ZeBG3KxPx4rD3thg4PJgTvmyPNanfgfE/m4T9WoyvySlu +rteDdbdQK/DendE7z4/vjClUKQ83oTuMeTXNOqcO7H8pzveaRFwiD8nngUbZ +0aYcCYdXqoQfMSI+yzLKZ+byQF48ugV+LsMeUlXCZRvW+Rl+kqxy8KjzsC2W +dlHDHsWetmO9HcQL9o/kxB3yYMTawbiWZhTbMGzfahYXP8H8CtpP88oJ5gYx +5fpLUoqB+tFpDTkP+52B8cloPzOfyesu+F+R0RyuO5zS2sS9PyUdOhVx3t2i +fKDdUvvnOZMb5OElRenChWivto5Rz3iu5Do514t1vs6IG9NgO6te+n0cdl9i +/AVg01mvceYMtZkaTexnRtJoajD9ddqGLd+ZR/sTafnbvhc6Pc77ge/s54Dx +FziTKVhvfSQdTIzTevcfBkd3ov0Y+JwN+7NyOnPGuNm8ux777IPPKYnm1Bpn +7otrUbOuj5WTv8JmJNYe7szLF7nDvK2YZ9ThsRZhTZyJ7aDzl7waqhfPj9Sr +zzuMd+PJxodjg7Zhf7VtTorFT/L08rTG6a8MLm1okmaT623OF2rkgLWUGrfC +dxl1/hvYrqgWL0d8rzH/yYWJWGcMuI3xzkW7PKV7k77iBuUu/XGdVq91xBrF +uPnOnGX+/usjpZxlnsWeux4xjDs3+J34M5eGzRXWCbUF3ZMR2hnOceY6sdpp +nSS/eE7kD/Nmof3QH/1y/WdicaI/r7uly5hM9bnz/K9IZMt9l2BfwfcdsN+d +FlfIE+YEc5dnwPuK77yzqMWMZxPmdqSUm+RMMVbLe+/8onzS9+fV0s+XzOcO +21Pfeh0/tf+w9Z/8Zm4zXzdmle/0RfxmuoZhXOQgY3sqK7vpWXGTZ06s7nBt +8XCsWoM1AWuMCa6X2N+bVm4zr3m/3539735+zXUCdX7MsbWDd8tapC+sWfbb +z2++p6fG2kvZ9zVz4KB15kBGOUU/+1zDjaOdCp8ft2gfrZE0m3z4KVFsPybi +zbj3zrvi8Yz0kvFRY4nFqDGkVpDvh07UNvB/cU5aSZtDvosTawjzlz7us59Z +eY135qUNbZE4SG5UfD9SX6gzQwVxLbGG1LpPn2lrHvFJFcSdCcDnDsSzqFE5 +Rr4Td35bh/E1jfK7DP3eJvH3e+x/Lmy+S5Rv1BdqxWzYLmpSTk/0+bLeI9/J +M+JAbpJv5M8feeUN6+t218OMjW2dsU3gb36L6jvWGcTvOt//qUgc/gVYbm9W +bfs+nnkt4h5raObkdLTnFJWn5xb/w4Wc5B34UKM4vdp6SE2b7DvugqJsI9tv +gO+LmsTLC31PXYR2uf8F+E9AP9RHvvcUlG+jseJl3NSio03iLnnbZs3nGbX6 +fE+cF+dscv1f5z5r7cr/7Mvm6MpEunYP2iN4enBGP/isDpjnfYlwIB4LC6rB ++griIPWYPLwRcUWN0oPFsF+Lb0sS6WqPazPWkmOuJyf6nHkWzIMpzgXudcz7 +5ZnzTCrWzE7f1//Wa+bGidqUMcxFDMey4g3xaPUZ1Jkn9ElsJpoDP8N+ICd9 +51i7ucR/I2rK265lmHOsJ1jnbHX9z/r8OdforIf3OqeYW8wx7pfzHvNc+trj +mvlVrDspJw3YlxV2xG26NZD7nem8I59Zs/RY34jRZc4dxsF51F5yh+PVjoHr +b/F/0LfGa4rrrJQ1m3OJyVLXVSXXsynPPS2R30mJ9rfHmBDPbt+/byL2M3PS +nuNZnQHxbzfOxJtc6PK/8T6PE+ej/s9hXUrdWmbtOpyIV8fBsadKqmE3lnSG +7fZJLs01P3mHH3G9Mckx50vieKs5/67/I/g/UfZeiCf/e1Y2qvYcsh/qU+R7 +PF0Q9rttH9kntb3PuTBSkCZS/y4u6n+D/x0LEq1V8XkR227zfGGjNJT6+Q9b +yv11 + "]], + PolygonBox[CompressedData[" +1:eJwtlVtsVVUQhlcvtLWXc9rdc/bxwWJM1GjUeAtgohG8YGlrKcUH0ajYixSp +FmiLyEVNS0+tYmsgqPHKgzEaEx+IFaPGmKBSBVoKpWJE44smilaMaB+wRb8/ +Pw+TPWvNrH9mzfxr9kXNa5d35IYQskg+0pkI4VQyhKgkhApkWxRCHYbnkW2V +IZyNQ/i+OIQPc0JYhG0fe19j6ykL4XAmhPnpECbBWVYQwgL0Xfj/UhjCKGfu +wL8Z7NnSEMbwacwLYTv2EeyHhJ8KYQcYMfY5cxDWM9gnOfsW8W7k/BT2D8rt +sxN9hu8JpLbAmHuxlZDLVs5k2P+beO8iTawv4D5PoK/C3kG8dZwpIkYPBTgE +fgP4VchZcFqxVaeN/SlScy5GCvw9YKwBbxl4p8mhnvXL2N9Gr0Ru4j654EXo +H2G7ipq2478FGWGdYL0Qfbsw0s6ji1o0oI9Tz0lyGwSjm7s/yF4ftl58mtCv +SBhTWMphATEuJ48p9D3k3sP5Qc7XIy+y/ifpGujuVcjVYCwBa5Q7prGP4H84 +uIdfoV/G/fqJsQTflcheajWQdH/Up3/RV7O3lnUl9iHWW1VTMIeLzBFx5U6k +D/z1FdwN/8e0xicN/jD+neTbyPlW8n+T7wnWs9z3PuQI+Wwi1v3o32J/JunY +4kobWO2sl+e5h4vY+w//NrBvQa9JW1cP50bObYLehBznWM3eWLE5KW6KK0Pk +uL7UnLky4Tcg7qtnA/jH8OPkeSH8HFukH2VvHdy5jfUacDPg34rexdnaMtdG +b+gU6+Fy81mczWLrTjpn1XR3ytyrAnMitu+fCXNXZ7rxzybd/434r6gwB8W9 +WnyOl7qmqqU49ST5FpHbQaQZ7E/ox3e5vsPH6C1Jv0G9PdVwZexa6w08gP5o +pXsnDoqLG2JzURwUF59OmCPiRg2ST37T5NCU5xpn6deZEvdUvX0tcm/HwRiM +/VYOVJgLejPTrDcmzM25SD0xr8k3h8Xl/eIn+hZqsTuySJfP0krHbiCH1jzn +UMveMHlswifL/f+KPXu+QV6I/Eb0VsSB09heYt2B7xh4X3B2MfJOjvc2c/5h +fPrJvRPseu5/b8ZvI0vOP2V8RmeV45foD6XMhRWcX5Xym1Xv1MPjGc8I3XsA +acY2i08ntf+Rt7OfWH0pn1WMe/B9JfJdJsAfBf8N1j+QewvyB/6LWX9GvC4w +plUr5Bi+mznzamSRrhn+iPoP/oFcc+QpbG3ktaHM3FINFUOxhDGGfj051hV4 +RlyXdg1Uiw72lqLPS3vW682eD94gvY2T5uZ73CmOPGuEcW3aM06zTjPrBu53 +N/7V+O88N2Nn0M8kja8ZM8Qdjxb6n/M6WHlwL7fcXNFM0VsaK/Ps0ZtqiV0L +zbhWcTvldybb4+iTsd9aLz7H0PcRv7fM828H8RfGnv2q0c3oU7FrrRyUyyWx +375m/KXoF0ae9ZoBddxtPryIwXu22DNOnBf3m9F/Q38OOVjof9ouzv7K+q5i +78kmDogL6untkTkr7srnZGzswnK/PcVQD1Srdu4xTj0vTvgfo3+L/nnvc74x +3xxeHZtz4p7eaD/+v8fOTZwStz6vcE1UC/VkXtI9VS81IwtTnkv6xxegH8n4 +n6p/mP5lHZX+9yimYv8PE1MoxA== + "]]}]}, { + EdgeForm[], + GrayLevel[0.22160991415562525`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmHuQ1WUZx3/u5dz2LGfPOfs7hxS8FaJjE8lNUwJCrNEwx0VRZ4RNCEN2 +ua6QsK5Y0silVC5mJV4mL9s/lMVMNjZiipcSx0wWCywd6TaNGti4rFRq34/f +Z8c/fud9z3t93ufyfb7ve8r8ZR1LG5IkadNPo8p6NUmuU+XBWpJsTpPkkUyS +bFK5osH13cclyf+ak+Rnqg81JckatT+q+jNq3566vk3l3fpeVtsf25NkqsZk +NGev/lcKSfJf7XNM30/ySbJT33FqP11rfVLj/qP2uarnJUNOX6f65+nLq+9u +rZHTN0FjXtFX0rzxKtcWvS5zl6h/muaN0fgb1b5B7R/kLTfyjtSY3ZLtFcn5 +eOq296L9qQa3JyqntCbJNaUkmaj60arHXFBJkuU6zwLt8Tfp5wy1rdBeNa19 +ZTZJpqveom+P1j2gdZ5S+WSD68epfFb/G1Su1TqDI6SzNsmotX6ovfaq3qNx +P1D9edVXZKxn5GvhjJJlPeOarDt0uC2x/tj/fdUHG2wHznJDu3WxRuXyXJK8 +qPpWtZ9atcwH1f6S1upW+8kN3gcdsdfYgvemPrPRekfn+3TmHarfp7kZjdmk +efs0Z5TWXKP5E+tJMkf9u/Vt0fh5Ou86nWO92tflPHei2tfp/FeovkDrXKz1 +X2iw/OdonV36f5fKg5q3p8F6e0P1G5rtA7Mk1Bfj//nSR0G6OlqwnVY32+7T +ZItLNeY91bdpzG0jPOcPGdsD+25SW7nN672gsqavQ/XljfYjdHyHztunOXN1 +jor635QNhgreD7vh16xdbfP6G1ptV/r+obHXqP5awePwffx1dt5rTlLbE6ll ++rXKe9R+r75Pq31H3v9PVf3p1Lp4RmW/2n6ctw/V9b2q7zHJeTTn9sGcfbI/ +xrwjvS8pa67KrGQ6FnIsbnSMD2juidL1MtUf0lk3FhyTxCO+jL7vT7xuf/jZ +nILPQfxl2r1uVuUUtf81Y1t+mHfM4ZurNPdOlder3J53fWfy8f99Gt+svdtl +s3GS842Yhz/MzXs9ZGDsipzHT9de72Rcn5O1b4MX6zRml75/0t7kOj5wXsEy +cbZLKsaQnGR+S3Pf1jdNY9rUl8s7Fq5TuQjZEpfo6WV9+6mHHGfLHh2SYbLK +pTn7Fb6Kzx6L2ATHFmYsG7rvCJ/8Uur20RVjDv5IvOxpsl2x6Zc1pktjTtKY +xbLRRerrqto38Atk2i3b7pfPdSCrfLC/1fF2ZZPngkWH8tYpuny56rP+vmp/ +6Q+fIXaIGzDlYnAdzAsdEv/oE0z6fqtxaVGjcR+ddDca5w+qfkurcQqM+qXG +P6pvpDD4VrX3qv0bzVFGnRie3GA/29hgnwLPt6v/9VbHw/oW+xzrz5Of9Mpe +nSq/V7Me7pB+Li9Yt+i4X/2b0Y9kKuqc3ZLlT+2OYeLuIfnY5LrxCtwi56ws +OubJFdcXrRNiYWWLfQYcXZV1XulR/6qiY+7BFsuHbPhYX9F+ht7WZq27r9aN +cZ0qcxqT1XdT3muvjfWZ01t0zEyQPN8tWi5y7u7A8xN1zkWS/0KdY0eTzwcm +v5m1HMhAHK+J/EB839BkG72uPc8o2t9TrXOh1hmndRbUvd+QdPnZusdXpZNZ +6p+atQ/MrxuTvlm3jsFWfPiwbPuB8G2s1n1Ntnq7zb75odqOqH662k/Tup/X ++DEqn2t2/UiD8WNv5O6hnHUJHv4ldVwfUjmj5px6vsoJ2vvbqh+Wv98r3/i3 +9qsWjIu0E3NHyuYQkzR2nMrvNDk3PVtzLntfPnBLnJdzf03tN2vugpr1wjnQ +5fZmty9sNI7jv3CX2RX7ObymRzKcKxnO1Fo/V/0zOnN3wXiE/MRwWeOnqD6W +M5WNy2NU7807dsjTv8jYxtRnp87/XZKnS/q4vNm4AAcCV8CTT8g2Xfq/UGMK +jcYX+u/Q+meX7McnVZ3DHtaYn2q95eFDMyvWA/r4XWqsflHlw63GDnCDM1/d +ZB4B7jKm1GA5y1nL+nyT45uzwx34D2YuCY5BXr+q7theL51/q27MuDS17AeD +u4FnG4M/zG83b7ipYvz5SmDQtWq/Su0L241p4Nlh7Cd9zx9hv16dc46Bk6Gz +OcE94Ge0bdCanRr7d+nnQMF57argEt05y8s8/J298Xl8+c+t9mfWx3fJWdnI +CcQUfBBfITaJGWJnfN1+TzziSy3YS+3vSv6zUsdVTfK8VLQf48PoCe4ADh7U +nltKzj/YYVbIsztjrkXMfyo4JFyyqHMNFI09MyTzj0YYV/Cby0MPnBksY334 +16kZc7Cq5Jih+pmpdf1S2LGutqebnIOwGbbrSB2Lq4PjPig5B9rMZW6uG2PB +2i9I51cwRuVDGjO+ZMyF06EH7D6gvhM1b3/NeYS8TzzMrRkzr645P4Nx4Ntv +qpbtOZUjK+Z1k1LHLDomJsFl9iUm4JnkAObDqe9udVxhc3gkdufugv3gvOgZ +HePz41P7wITUOeSErHWO/o/P2gboZk/oZ2rN/GNazXvAH8mvO2WHS9qcG+Da +6Ac+c23NesAvWmpeP1ux/8KHWBdshceAjU/ItpeVnOvJHeuC29yneJ9Wcs64 +PjgRmMP+xAQylPOOTeL0Ho3fUfY96faK8yb5c2rJfbRvrTjn3FXzOccFfiIv +cYvt4EfEwJjEaywODjlT6zyhdW4r2paMIUamq/3+su9huyIvIj/rdQcWkK/A +K3IWdxL0dUrV+YF8jh7wXXwYXtpetd88UDPGMffkqvkr+W+06o9VbadfVZ0b +lsX6cDz0QQwfaLcMJ2hMPu8YwP+JiVdDn5NLxlZwdVbVOslUzF24a0wMvoHP +EVMPhE+nVfOFK4IzDEQ+Ridn1a23kVXnYfwP3IWPkQeJ7Z7gF/CQC1Lnxp6a ++Qlt8PDX4h7C3QI+0hHzubezV63qu8qBiH3waVHIwFnzYceBVvPIjrBtLjBu +Q+r8sTH1fYwYPj71vFzM3Rzn5+xgy0d3vCbLMRRnAeN3hf9UdPZByVOtG/87 +IgewXj64d2fcGbk7bpVc55bMyT6n8pySdcObAGfCH8g53G/h2HzLcs6Jw9yd +8/Ifjk4epZ/x3IUPxdsC69C/LNqXR5314FzkWbAF31kc+mkrOB9xN6HtumjH +3ozdFn7bGW8X7NMZexHnxG09ePe0GH9n3JfINcRuOXRCHlsV+MCY7XGfIi+t +zn3cvzrmMq8t5o4qmIeCpcg7PWSmvxzxQB5cErmQe8zS0MOw3B/dv5rtp+Q7 +uMHcuKMxtyvGY/v+wMxCvN9sC9xoC/2Qx2fmzQO74t7EXDgQ/IL14TdgxPHy +u77Cx3foy4IjwZXAVHg1MnA/6I576WDNfBXeSpysiDFgJPc2+MzKnOs74+6M +708KDtMdZ2luN+/bUrePLYn2J0PuJMru4Gq3tBsTNte8PmeEq5ADby07D/bk +3Me+lPxHD9wr+c94ZJkd8mDfnhg/L+5w2KIz7hStVWMu9wV4LRztkeCU2AAc +x+7/KjjXEK/kMXCMPnLFW3H/fbXdHBWuyr2QOvrjvjK64PeeUVEHw3m3OLtg +fYATpxXMNXekzpf3pPa7UTF+eD7ycO85L94ayBuPR+4Ay+Hw3MUOhl3BDfgC +vAWM4Z2vGm+I3MXL8O6859B3LHgaeQiM4k4FbnKWLam57NbUvIO3yo/yVbPv +kOSbozXLwH2Ce9rGyEHcO3kH40z4DnuX4q62Mu5r8P3pcQ+Aw8JbwFo4y5zI +7Svi3QObcoYxwe2nxHsGa44OXaEz5vflzVFuzLvOuZAL+cjR8IKbgjNwhveG +Zc57DuOH5w9GjptZcJ5Df22hw5nhh0eCDzGfuOSORQ4dfo/bEzLjg7z7gAf7 +4q0G+cn16+LtBT6BbrZUvH9vyEAeAAvYqyew7EicdShs1xfyIzvYMxj4gO73 +hf7JIeSXjXGWgYg7/DYXvgfuccbDoTP6hvWWi/s4+ZWYu73mseUYvzPeT8Bt +cja5+92a92cc8dgX+AT+oL/98UbEvYuYgJIvrjnOeIMZHe8AyMbah2L9E1Kf +Z3nVftkbtiMXLY28NvxegFzcG4Yiv2+KGCO+9goffsvbUN3jiIHhWM7E2bkf +XxQcj3eL3ni7mBfygDW8jb0VHBvfwF7ohHsAfJpcMjf0A8YOle0P19T93jA2 +3hyG/QNdcafOxNsp+HEg3mSx2/6wHfvB7cEA3kHBc/gmGN8XOH9a1m/1vJ/B +4eByX5eO/w+yHjRW + "]], + PolygonBox[CompressedData[" +1:eJwllnuQ1WMYx9/azjnt6Zw9u2fP+R2ViqgkI3RFKln30th0Q7qsyBZddU8o +0yrUtplhrOskfxlhRi5dVBIylSzK/TZlpulGtcjt8/X94515nve5P+/zPs9z +5rjJlfc0DSFs4DTjLI9C6MHFgngIK4CvyYeQLApheCKEy8ErwadCeyIdwp5C +CB3AOyPYFJmzgaPyEO6Cv5pzIfR+yAxDthj8KugrMiFsSoXQgK0JxSGcy10B +2WPo/Am4TTaE8cCj0DkbXcdKQzjC6YRMZ84/JSEcBj+Y8F0PZG6Evx94d+BW +yEzE1kTk78B2OT6cSIZwVP6B94SnEv6h3LXM+k60y5DvCFyLfD2yzWMhDIY+ +Efw68Ec4FcBzs461sXkIO+CvI54n087Jedx/xl1b4qpH/tPIMSt2xXQ18Ndl +2MH2K+A14OvQ1z5umQb4j0fOXXt0LYeWx+YE8NnYv4BY/kC+P/J9kCmDvgF8 +PedRcvEYZwk6NzYJYS30ZcDdOIOA+xLfBXkfwQO5uzDvXP5LTs9JOaeH0dUL +/V9A3wR9DPSXoS9uEcJqziPcvQrtL+KrwP64Er+R3uY75K6D3kL5h+d64OXo +60uO5kL/kze/gvhGJMwj3qV5+1rGXRG0BwrOo/L5IHAb4p8M70PQu4GPhmce +cAV3t0R+c7293rQXcIfIb7kd/97PhdAua19GkL8Z6LoJX77lveqLXYOtkHkd +XZXQWwP/mHctKsfKdQOxvZj2fxiCTP/If+FeznDgFVm/lXw+Ab4S/V/Cfxe8 +1ZyD4KPJ0T70NXKe0ftxN1+1DP1p4D7wd0f+FP6k8XEQ/kzCn/uJdyt4B2gz +iWcR8RSwd0Pcb3qR/ib+1SA/H/pJ9EfgVSV+i0reaxH6KzKujW7oWYnMG8hu +o0ZWAI+FtgT5WTH78HDetakaUi1t43wJ3gTaZuCnVV/gDdBPBz5FPBXYGsBd +Ob49ha6PS217Ondx7roSSyvylVR+iOk0fFkHzyHgd/OutYD+9cCLkZ+OT13A +dyC3C5798H8EvIVcbEPuzVLrUMyfcNcP3kPofxz9nyG/Ou23quSMRb5P0jkd +U/Bf6Yn+aSn/mbX4two9v6P/JLrq9OZpy96b8h/XX1dPvBL/uqIjl/CfzJW7 +BlQLd6NjNu/THfqcZq7ZttBrweMx+6vYE/AkwHeQv2bAH3F2xtwj+0aOdVHa +sSvmcmLNlrp2rlIdwzMz4T80IHLMin0P+oaoH+Dj5/B15C4X2YZsyYcYcBVn +eMw2ZVs5V+4lsxF4b866JuH/PuA69ai4Y45FrgHVwj7utgJvyRtWz1Dv0Bvr +rVUj9Xn3WPVaxRzPuWZUO63VA+B9hxy9R5wF+EuhJbKmHUamuOAaVa3Kh1XA +R8rcC1ST74Efz7nX6w/3RtdLade8an0hPI2R4bNU++j+HJ1r0qaNRn5i5DpV +DVUDLy6YJplFwLXYuxh903mXE9TBtchMiHsmajYui/w3f4O+F/4q8PsTrinV +lnqUetVc7kYBl/GWdWm/5UD+yK2RacOIYTr+n4/O8UXWcTu0WRnrlg390ZsL +lpsNPBK4V8Y9Vr1VNf2G/mDMPfI25H/hbhU8z6jXcL5Le2apX+muK/aujdum +bF+Dfyn6x6Xkfy52muc8C6VTulPIH1APhb6A803aNqRbPfXvnGdDJ2gHsN8p +71mVwV5H4NqMdwDNfvXID9G5UfXPGYfsJWn3UPVO9YB6Yvse/dmkZ8h+aHl4 +Hk66p15U8GzUzlFQ/krso3yblLRN2f4ZH3YB346NH4BHYu8O4O3I7G7mnqre +eib41CLvNF9Bj7KelbeCz4K2M29d6imNZd4JtBuoxw0Efo67HPZrku7xmjma +PdpBsvhawL/XMvZtWNJvrrfXDnNa1jZkS2+Sz3oH0i6kmmsLPrjUOiSrmfwz +OpeWuCZUG8rVbk550jnrkndv1o6lXesM9E0pco/qqf0s45mkWTQvZd9Xgs9I +OYYabFaRq63wv4XsZs6kmHP2QbnfYgA+TWvhNxGPePWn3wZ+Hl3Plln3As5Y +cjo05h60EN1j8f2KtGeXaurOyL1HO1xL5J/NeZfSTqbdbE7OvVYzUbOxNuu/ +fY76d+SZr9kvn6fkPDPUR+WzfF+j/0PMH+LTDuD7sq49+STftINoF9GMrNW+ +lvMsVk20R/7XtGe2ZrVyvDjnv6iaUm31KNgX5bgd/EdLvUNpd9KOdUnGPUW9 +RDken3Mt/t/Tsf1Cif+g/p5y2pByDpU7/ckp5d5VtJNWA/fOeGZpVqlHXZn1 +LNOOpl3tPwNVhY8= + "]], + + PolygonBox[{{6053, 1661, 4487, 3916, 6054}, {6085, 4461, + 3482, 1651, 5460}}]}]}, { + EdgeForm[], + GrayLevel[0.31269590474884135`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmXlw1dUVx3+akLyXlwDJ+/1+QUABQVCWEEAluLTY0RkR1Fa0dVDH1hmD +S3HpqCxRJEB54AJoFSltZ4oKg12gqCwqLm116lpFa0XBSq1Uq61WhxCYOk6/ +H7+H4Y+bc9/9nXvOuWe/N4Muu/a8aw5PkuQU/akS7JclybCaJOkreGKeJOfW +Jklzc5IMKGu9lCQnaH6/4Ot1SbJP+Ll+dwhuSpNkZCFJBurbdBE6SvhDNT9e +3+/V+ijR/LHwWjUfrTFDOPtFu1tjr9b3Cb4mmjs078o9X96UJGuF+5i+TRH+ +AcHtWq8IZ43WH9QYL7qvNiTJsl5JMrYoOrlx7tLeonifJtxazS+WfOf2SJJp +ggdKPsMC0Sz2TJJX6nVW7eknvM+FP140zhOvS7XWrd8HGpNkveD70kmd8LcL +v03fThfOhYLv6Vtf7X1X8AWde7Bov6r1Mfo9UOuNh+nMolmtvc9qbwtn0N63 +qpNktmS4WTJdK9k6BG/Vtxl13jNCZ1soGjM1+jdZlk7hpOIxQDxG63ytzdZ5 +prX1ol0SzZtEsyR+x2l/f8n8mNa3amzSWK/1s6W3DYJt2tMlvntFc0Gz9bJQ +8CHpcnBPn79Kur1Qv7vE+/v6tkw4PxC8U2vz9O2RatOGR2/JvFLrH2t9r2xx +geZfaf1t7T2r5LNxzlbxPkPnHyn4TL3xwJmueUU4uyT/7/TtAsm5UXCtvvfp +aV1vDl6bAvd6jUx89yeGiwWvF/6VGjdWWSebQy8M9tUJ/jXkRmZssEHzmYJb +6j1nHftsrD/0fWOsbwp93l/tdfYc5LMlcLbEb9Zf1rgKfVVZ9s2Bs663eEpX +c0TnaNnifelmV2o52Icdu7Vvts4+QvqbI9wb9fvmausOHbbk1lcl9PCR7P2F +7P6B4CrhfqI9+2SLk7V2Uo39+C/6tkfz1wRPE5yo8YTWHxXvh0V7jWQpSrYl +4ju5ZN7fKlmuW1PbfK1wCoqLl0R/muz0nmQfIpxviM4d4vuK1n+m9UElxwOx +8Efx2yFevxd8SuNNzbcJ3iJ6o4TTKfrrtOehguVEDuSZmlr2dbE+XucZpXm7 +8CdovU3jHq2PKDgHkX/21hoHvtgKe2Ov75bsR8Tu0Zq3BP6YZsuai+cY0W/V +mFhretAdkjjmRsYcnpdpfKl5pWgc5OnSfG21cwF0ThONUzV/KTf+HMXxO+Hb ++PgYwWNEd5FwxjV7fqRkGB56R+czQl5ywr25z7K97Ly4tOTcCA5nAw+bXahx +Qw/Hx/dKzmeL6vyN9XFF58tzah3T0FktGS4vOVaJ0+aydTS22TqbG7kOe18e +OIxbI1+1hL3ROfqbUnBcXyn7TRPe9NQ5ZVHk1d/I9s9LJ78SPELfMuH0Eeyl +M7Zo/Sit18rHnm+wvhq0PlLrR2r9YeFtlB4elIwnSr5jxXdg2bkV3RE74wpe +v0bzG6osy1sag7W3n3gNEvyh6A+Sv95Q43pAXaCu3Rh7qEfUotUlz9+tcrzN +rbJu0Stxd35mGs9JlqNEt4/o9xccktlHjxF8ocHn4SxtUVupsdhxkvS1VXCT +cAdoiEzSrrXpRcvcVes5fn1n0d9YrxKPVdLDsrLjYkT48+2Ct3F+0ZotnrM0 +Lq83Ln7aqr2zqnxOzgVdaLKOrSZr/d6Yn1n0b+Rjfr/Wi6LX1tt+8B99m6i1 +szU+0/xTjUkaLdLrAuF1iOfQXpYDGeol8y+1tqJsPyFOiJEOfR8mvPZ6+05r +rB9Lzmt0fSAmWceWJyg/Hd/TdiCnFzV2ar1UtL44Fz6Or1PXP8pd5y9qdm5A +X+gKO4yLWCBex0Tsd2q0FX2WEYGP7u7JbKflmfGodcQ7sb8v4h89sPcscmaV +cz9+Rc+C71Cv0BO6m6L5/CrnP/IJ54DnZM136twSO1mamcaCoHNTg+sHtWNP +5HbsQp2GHz3VIu3pq/UmwVcz14Chgudr70O9ndO/iPy/Qfj/iHowPHOt2xC1 +b77OOKFofcytcb5GXnwLm2P727VnvX5XgucRNZZ7fczr6IXCtwcn1llX6K1V +Nhzd0zlsadH+jf0vLjjfYFP6rXdDRx83mu+vxetvjaZ3eOr81BI56o5ay4g+ +qS3sZ++nje5D/5A5R+IP5EPOTd1BF4slS6G38+BCzWt6+8zooC300Bk5APod +0ceRq3dGXaA+VKS/lfXW2Tthc2KKfQd7lk3RR+C/81PLMi+1vFfU+8wTo/Zt +iDxQitgnFidFbIJH3JCbuhudy/+c2RfwF/yBWgqckzgO+Ya/kOegSbwQA6zR +09Nv06Ozf4piNdX+08vO09gE/3yyxrWfMxA7xAM2/a9irE5y/EnwxQb3CtSN +F8uOj1WCb9RaR9iJ+tMdtYxcu7/k/DS11jmWekHfsyBiiTqHnc9K3BPNbvB3 +7E/u59v8ZtPpFJzXbPoN4rtEciwuWObdnKXKfIeIznWNthe5iRz1npx4ZcH3 +lBmhJ/SF/leHjOgNfvBFLxui78MfflTjGAVveNRz8Mg/X+dczZdljo1ccGzB +9Qpe9Aat8ZseY5HG8ILr7KjI89xp8CP6XnxzQuQcaiM0Zmt9RcF3MO4TxNWd +4T9A4o1z4kdnRg0i11WC18m5bTAhd+1YFDlwbbN9e02z8VgnDoGVwGmPWIb+ +A5ETkQ19Ew/4LXeRpRHvm8P38NHjcvvTMMH74s7IHbJasbi/l2O6o8HxSWxS +bydFLr1Ktvum4HVl18z24qF+sCV6Quz+9x7uG5Fnd8yXRC9LH7szNc6gsnsU +epX1mWXn3one6VHoVbZkvpO2RU/YI3ef+JPMOZ5+A9kGpIb/anT/wfoxgnW5 +82iN+sO+qWPro0afibPxe1joZERu38WHyRvcG5AfH347tfw7UvscvkeN74g7 +5tzUMo6Pnrl/9CoDU/ODz5Gp5UPOozXf3ei+oKT5VvG+BFsJViKO0BW1gH7j +nMR+hr+RZ0fFfFZi3CWBj4xLIga5p95eOESDOff2oVGzhlFvc+ePR4M/tYE8 +BM1K6AHcx2tdC/sJb5tofKi9fXLnzjc0T3PfqZ/UPMudjy9KnVfxEXyjPe4P +nHlI6lpDzSFH0autjvryRtQY8jN1FH557jp8Reqz74h3j7sy93RVuWsg/QP+ +8XTm79SlVRED5Gni8PHgNTbyD+8eizPX0l2Nrqvro1fsmVvHhSbzYO024R6u +udw/+bHmL5XdB/HOsTP6DOyN/qhp/OY9gFglTqdHH0WuID9wdmKWt419oave +uXNMUTSvyv2ucbXgEeK1kJ41N25X4AP3RW92S+p7A28k2A85kKFP3AX6pT5j +R8G9xN1Nfnfqzl0/qQuLow7Sp6L3AYHP+YE3x17yK3O+fxU9Fb3VrIL7FXQ0 +PL5jF3AHRg8Dn6nBi1xEvHNmbIuNv767Fd1Hfh57O4JWS+DMijzDexZxSk4e +GeunR229uuzzzizYxsiFfKwta7Le98YdiBjjXQhccJAf/tRvajd3vkvjfkI8 +EWPEFDmMOCNOT8ldV3lbIpdRS4iH4wKHfJQ0Oa/TZ3WELOgWnjPj95shD36M +7/B+SP6dELXjVMH3G6OXz12j6CnxMXyEOTkBuCDW6aGIsS+jX6JvZg5cE/Nt +8YbwTOY3BezxXObcBh5nas9Ns2/ZPl6J/EPvS99GPebdYuFBGapcT+jvyFsr +Ine9Fm8mr2e+v9KndUeuezPe6XgDRfcl6eyR1H1WXZNrF36Dz2C7FVGL8Y37 +oq7RY/y04D0fNrqv2ZJbJ50hG7mBHAEPYhFfIh7JDStjL3V/ZbyvPpXanuS5 +J1L77wup+3v63RGZa8GaeEf9IN6O/pkZD/yTcsckMkyKu11W7Zq2Knq5t8k9 +Db7vdcQ3/Bn/mRc97aLUa+zFN+hnT4p7B2+U+NwvorYSJ9SmzZl1T27rjl60 +Ev6wK3poegW+cXb0sTP6CnIn9YD8Sf+6P96ZuTfSa5DTfps5Dj5p9B2JeCtn +ljGNc5SiNydf0l/Oi3cC6jbfqQ3cvemNlpcdN8/Hveim2M9e7lO8J/Luxz1j +Xdw1eMOjl8XevFeQ6ytRN/Ebcksl7lZLMr+hkOueJnc2+T2M9+nOuAN8fbfo +4foIX97gx0QPyWgN3wCOCfrt0aNR7+hj2Ys89HKca3DoeGzsBY4LmrvjPZl3 +5dHRr0KT98SJURP5v8G4OBe46J9cwLnPiHet8XFHwu6jcvMnDrDj1qjpk6Nv +xKe5G7XH/ejbqWOLWkQvCQ/OU26yHP8TnR5N5kke4nyXxBnPizglXg9rsg7o +d3jf5J3z5bLtRbyg60rc58gTm+MduhS99uiI8eXxPnB3ZrmRn9p0Rua8xlvg +wViixwLSGxMXU5v8vsc7Xx73gubMde9A7SFfPhCxgK9+Gnvp/z+Lt5dHM9eH +f8f7C29T3FH3ZI45eiLyDbmCnLE8dz+zLLfMeyI2uyLvkHOezWzbz0Rze+Yz +0e/Qr2yO+EJ27oT0dW/FOzs+zzsdfL6T+n5BraXOIu8DkRN41yM/boo3s51x +j6aOgo8fTov/42wT/HnmHEPvPDz3vZP/wzwWPkPs/x8T6F87 + "]], + PolygonBox[CompressedData[" +1:eJwtlmlslGUQxx/YtrTd7i7dfd9doHKUFspZCgJWkQgmfOEUikpARDHcyiVK +W64CpQVFCohyaSIgJETFgFyhXFEgICC2ClLAgBiU4AfFUApfiL+/w4fJO/PM ++c7MM/Nkj58xYnpj59xBIAmoijv3UxPnVgJvg7fznXs6xbl18O5mOvcpdEfo +ftCfgH8LLAO/zNl34IfQ2Zjq3G6M7fGc6wtdhK0GZJ4F75VwLi/oXCX0P9ir +yXBuAd/JfAvTnRuBjdnYKg44N9w3GcnWwLuPfl7EuVLOrsGfiM40ziqxXwJd +hHwt9hdGzIZsHQHK0b8IfRR8KbpvAnOg5xHjXvRHE++MZOfmE++aqPl6iM31 +8CZzthX90fCneBbrvEzzrZjHYrMyw3K2Gvn9wFjs+cg3R3419n5U7PA/hlfB +2Rx4vTm7Db065twm4ijARyNkexJ/e/Iznf95Al4P6LbQk6Bj0LvReRH7p0PO +1cHLCXMOXoG9ccAXxDMEW6f5vy/BWzR1bmfEeC9jJ8FZG3g5yDj85UH3gd4F +mQmdinw18ouQH4j8n/APw/sXmdvgiz2rpf5hCfgBzvJVL872g28npg0ZlhPl +5hRwNcV6KBe8JTqDkG2Gfivwp/ifu9DDyE8heBW+K4Gh0D3SnNuHThd05yKz +Fzymf4JG1D2iDvOBU9Ih3kn4PIzNYdheDr8a/BFnd4B+2Kvj7JhntfwI/Ch4 +c/53B/qj0H+J/+2A4b7w+iPfUXcBf19D38Lnz+CJhMU6j7N4wu6I7sp4+APg +d46b7q/wO4E3oz6HsL8w3XzUUMNL1PsXoBa8GplN1HOPelG5ha5FbiuxvIH9 +bmGLUbG9xflh+JuR/wb5RcifVb+nWM53JKzH1GsXkK2insM9u4slxPMC+DNx +y43uZB/wMZ7lQjl7BXwF/rLwNwp/g4A6ZHYkWc9dAe8Ztp5SL83Cx3XOPoM/ +BP6NuPViWlPTVU+WRi036gH1Qgq8JKAr/AXovU7MVeBbiKGBWs4mVxdCVnv1 +hXohAF3vrCcmQx/PsFrOCViOlKuHwFLlC2gNngs/mXjGQ28J2h2sh35VMwC9 +MuIZ59sd013rgEzvhJ2JV46fSwnrrV5h+1f1mO5GQdhqoTtSyL8sD9tdmQDs +hC4O2Wx5HnoU8u2BCRn2DzPx9xzfPHxk4Ss1andHPR4ivhWc7QLHtFsOvhHd +MyHLv+pQ5FmvlMIfAZ4WtdrqDkbiVru0sM0X1VC9lwSdn2492AL/S8njEmAC +8mUhy7lyrZ76wbdaaCZc0KyIWW6elH/kF5OTB0HLqXI7VfMYG/PRLSOPUyJW +I9XmnYDtDO2O3+ivq8R7GbgOfgT7m7Ef9Gz2qYcywLNjJnsDuAL9N/oV8Nsp +BvyNSdi/nSeft8BP+rZ7JHPCtxgVq3ZMa2y1xcZgeFnYywH/w7dZ9v+dBn9A +rOlh2z3qyXMxy4PycRa8GP/X8bUoYDXU7ukQsVmjHRRCpgG9VcA44smAHhyw +szLoIPTAgOV8IrGlRG13evgYDC8YtVmiGaBZsJaY9hEfqm6Nb77PZVhuFUMT +5Ps728FB5Bt7Nsu1QwLgZ2I2e9Qr34PX+ja7tMNqNDt9671t8NfDP6v7mmm9 +qz14BccrIzZjNGv+ClkPyt597mQIelPE8HrgTsjOhN8D4tjMxlY++p/HbWdp +d7XhrADbzaBzgibTHfo93/5VPf++bzVX7W8CbWO2g7WLNRPXRq1n1bvlQHP4 +LWPWG93xtz1uNVAtNFNeAz/A2UBnO/kgeHrU7o7eKHqr6M2gt4PeAyPB7+G/ +PtlqptqdTBgvW3dEs9azt0JmI+YX+AlqU0z/dAraHbuITG7EZrJmc0nIZolm +iu5It7jpDiD+AvD8uOGKsSt4CbZGhmx2dA6a7YaI4fLRmRj7Y6sa+VjUcqxc +642QiNmu2xCxWmjn7fLtLTAU+a/AZ+r9ErLZqxhX+bZL9SaoAm/n2V3RGyLX +s7fUu8iXJtmbqjzxeNYGbJZm4TM3aHe6DvnzyH4QsTukHtIbTm85zYwl6N70 +7a2hf/hd+p69lfQmaAG+jWC6pNoM97DdxrO3gu5wa/APfZvtuiPrfOth9bJq +Vgi+jLM0Z2+ECu3uuO0m7fRk8jWX+GZFbDaVPt7B2sV6Q05F9l7cdqd6VL2q +GaVZpZ1dhP60mN1dzfCp6u249aJyoFz4Met1/YP+RT2p3tSbrhW84769RfVm +PgZ+zbNe18zQ7PgPn2p/Mg== + "]], + PolygonBox[{{6087, 4362, 3530, 2138, 5813}}]}]}, { + EdgeForm[], + GrayLevel[0.40378189534205744`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmXm0V1UVx+8b7u/3pt/7Pe67v4tZGWAuh0IZnMERNS1UQCUVNMUnmvBE +0hxWDsBaUloKpiCuTBFwChBUwBRJLUsl5lgtK0DEIUtXoqUNhPb98N0s++P+ +zvmde84+++yz93cPt/eYCSMur0+SZIV+GtReUSTJQepvzpPkts4kuacxSW5X +OyhNkiP0jErcHqnnXPVnqz1Kzzj1325Okrf0jNPzkMaO1XO5xueoPVrPePXn +qT1GT7f6R/ZMku+VRLOWJMfnpvntLEleb0mSxaJxnPhoL3lv9r2oKUk+1VhW +lyQLxNf7ielP1txJej5Uf6LWv6/3p4jeg23aT89QPRzuPTUT9NQ1eA7/X6vz +eThLb9Ho1WxZLFA7X0+mpyoeBmvOZZqzULQW6Jmm5wnt8bjGn5HMvime14un +HVp7qMa21JlmP/U3qX92yI39OMtA9Terfw5y0Pk/0bo/ifc/1bm/TeM3if53 +NO9Z6GvONeLjbLW91V6rOS9q7t1qvxD7PaD9f6D/69XfO/d4H7XvNZmv32v8 +pHKSvKLx/9Z77n/0bErc7oj+pKBxkPptDZ67Vf3DtfdO9Y9Qe6ZontHk/z9p +9JqVdeaLto/mP6zx22LfCySf72rfsuj119i/NbZdc7ol3/F6BmjsVc2ZoOdA +9a9MfXbmzmlzy3zufFm97z3Xuk49x+r/Xjrn5zT/i2rbJJ9DUst2aqvpztac +mfWeg9xvSK1f7Ls88/sJ0vN/6d3Seutnd+hgrrH21OfhLCN17nXxf7j6K9V/ +UP1p6i+WfOerP139x8vW0ydS6wl0h9bM73cKy4L9/6693tTTN+S8RHOfTH3O +7aKxQTQaNXdWp/e5R+1vOz2+Sm2rzjsgDR3T+furf5HO1KLxg9T/Zuhh/+ij +j/2iz7p+sbai+YeHLRwjOoepf0lmfT4s5LlNfB+o/oUan5X5rqaIh7E678V6 ++rKmyf+ZV5dZP6Z3mvahQb+Q7e/UvfRUe5fe3a85Mzqtx4fGXoPFw8HqX5z5 +zgYGn9ztwJhDe3CMc9a+u88ovvbQs0L9UoNljZyx6bTBWHFiNUme7yHepF9v +tBh3jgs7xAYHFNavrS2+s9crSfKC5i9qtr68Grq6UXf6Z8nud2oP0Zp60R9S +850N0/01qP2czlJwp3o/Uvt+2mYbH1+YFjqITrDPEZLJ+aJ9c4v5RIfQJXT/ +UfUfU//jOtvKpBbjIXxMiD5jV0T/xtRn41zLxPcn6t+l/hN6FpaN29M0XtG8 +eaK9pN70wWpwDrzD7p4Wf3didwWK4jPA/5Nq+7d774915n6ac09m+f+j5Dt4 +XrQ/Ur9L7al69hH9WxKf7+o2Y+yWzLh8bM3Yyt5g9Ts10/lzzVi+WM9cPWt0 +D33aLSfu8KSq75Fz7SX6H+nsr2W+C+7kZO3bu+zzTY9zsU9V73ppvDnzu14h +W7Cqrmz7rBSm2aQ568TLl8re5znNeUf/L0jtO0qhY480WrYfBZYsKhtPpjTb +V8ETuoFecKfYATbP/6/nlgPywGfVhd/aKDodehYnvtuxwrUxsrHTdO7VPezr +wJ8Hw+c+kno9MkRfJ7baR3Zpzm9T+1Ec/wrx2IQfFc2vlY334BDtLizKjUXL +JYNhss+Kxl/PvJ4+OnZCzTa1Fd9b9tk414TwUXqdnNdiW+Dd50t+x957in5P +0f+82nbp1UDOIl6v03OVniXNbhlbqv46vT+9aj3oW9ifHViYJ/g5SpsdXniv +wwpjMZgMroOn9JHPzxp9L/+ss65hX8jqAK0Zov5X1F4ZfMDDl8TfnuKzl9pB +enem5hypdpt4HtDDtgVOnNFqG+Z+roy1b2pOf815Wv21alf1sA7v1Wb/hP2v +Tk0THfqy9vgidqK2d7t1HT1Hvsj5eJ1xbWG7+mXu2ASdIz75UZN1j/8z6o31 +4CH+E3+K351V7zgEHP5Y8+5MrQPEElsiJjlXe1ynezpH7QbxvV7P6U3GjitS +6wj+dHPENoNq1olN4vEB8XS/5sxWu1I07on9kN/dsWZKbhubnBsXLk6N1ejC +zOAbzGCc9+DxzoiLDs3tW/BFR9es55szYzw0sdmrQl+QP7KcFWcjlpkRfnau +6Dygd3PUvqG9zlN/dGobx77BAXADXEBP1mr8yXrbNXK+P+JeMK4r+L9ctC5U +f2rcVX34Gmwb/cMuTolYAJ3cJaegA46wFhtfGBjDXujjjojVNouHEZozXE+q +PU4TH4sK6/LS4POxwDn4v63JZwTPwSv2mIsfEZ8P4xsKY9iF8Q6MuSB4mNXo +WI448L5Gx4SDE+tdV8yZmPuObhUvH5TNV0O946sbI8ZaHvyC+RPTzzDmzkZj +AFeIbfy82fEiPpz7QW/fbXLMtUX96aGD9Lmn8+IsH5b9v6Xe2Agugksr4j5n +as5luedPFp/z5V8nCUPWqJ3RaIwiXl2t9aOCDs/ooI8fuCH06tu551yaG0uW +xT0+Jd5GBG9/KxtP8JvERMR2nOeRmuP7kZnlt0fg+dm5/eK1Gn9RY8NChkPD +XyK3qcLeu8Tr99WOzj1nlNq5qXMq/Ms7hfmcit3pbHvrjB/2tM0ib/i4vclr +mD8meBup58HdtHJjE74Rv7Ou2XkCeQHxPmfEBicUzkfIS24RTzPF261ql6bm ++/rEZxge8l8UORqx9Hm5dfj6zO9HxJxdthi6OlJ0vyv6Z6ndWLIcoHtW2XYO +Tr6c2iZ25zy06Gei+W2pc5L9pQ+NqfOSffCz4Xv+XrJP3SPsBFvDBrE3bBws +RTeZi35iB9DDFvD/e4V9vhg5D/qzVucb1uQY/ZzAz4mF7w1dr0VswB7QJ0cl +D71Ccti/bL1aHX6eFt3DvjknuR37cBZ4IeYm5jtdbVXnam/xXcHPjNirQzQX +luznH605fiOOAyPAB+RMTNQr8KKh5PwI/CV3J+7EV4IhYAqxJ3k8vpO15P2M +ITdyenxtd+gYeMS8zZGj4lOwY+x7S+Qg7IPvIB8lNgaX15ec1+Cn1qb2Negv +WH5X6HB/nfWV0md+DP9CTg1Gro8crbHk/He3T2Mu/m5lp+e80mmbZE9wBv1F +btzjjtR3Vgsd4O7wj3W6rwa9O00ybMh9F/W5dRRd7S6MmcyBzqep6yfozA4R +eDa1faOr98X46sAa7nqHeNqp8a+L/s7UPEGnruT8CN1GxuBNd+jkrJhD7IM+ +gHu7cRyap7Yah28IXmbFvi3ip1nPM6nxE76wwVWF8XpF7rGGGN+3bMxhbGVh +O1+mOR91OoYYkllOH4esftRsneWs/cqO4ckJ0Bfsbbff3BgYyD2gA+jFw7nj +2Idy2xy2vFtmrWnwn7s/Qvu25Z7TmtsOyGWQVSV3/8zMd04Oj258tex8jb3X +FPaLL2hun2bHYWAL8r4vZL66sC95XnP2V/94rd+vsL7sDD15u/SZ7VJDGhq4 +jQ1gb9gLsTG+Ad0erTmjmu0zTxXWXtPmXHNcrCWPQF/2jbt5Se+/1cO1rD2F +6yvbvG5hzTHWY9EOaLE9EDNQk8ImsCfib2LvGaIxqOq8Czw+P3JMajBvx/7U +4agFnBv3uCbuEtvFR2O/b8V88Jyxp2J8Wc3x01Nql9QcMy1Vu7UwndcKYyRY +Sb7J+0NajLnQaW4xLeI2bB57R1boKnU58oBl8e5eneODitdAb1rQXJ5br58N +veAM6A9xINgxK/BkWWAKsW018LOtI0n+WnXOTJ0N/wHukrPgP/AH6BR6xl6s +oY+e0FZj/KXcdaH+hWMWYpdTEvMIr/iISVEvRYaDI34mjj4mYlpi29niZZXO +OEo0jov8mjz7rZp92Ns159FZ1D9HRQ0T3UOnyEnQq/6iM7WH663oeJ+ocxJ/ +Esvil9A3cAo8Ip/tEzkt+MD4i6HbvEM/0dNe0e8T49DkfjdErHZq6HUWtTpq +dv3CZyM75IbM1sfdUWeifoe/YD3jm0LfkBdxxbiQG33eb4i1C2KPfnGn62It +uS96znpqRdTL8DvUw6iRgf9LC8v4pZ7OU/Af+A7sojvuiFi2O2qVFysv+0vV +NSN0Df0EK2/OjCfgCmMtobeXZ/aRX8tdDyNGAdu6M/vUkzQ+PrNPPZH4KHee +cEbkx/hm/OVvNGeV/vcQ/YN1nydWXNO5JjMmg83kmndXHVPfofe3tduX/lBt +a4d9AnkqukCuulZjP63Yh4Fn+D9UcKrGplZdi71F/Wnt9iU/0djMqu0UDP40 +MBleqh3mZ5HmDu9wfsv/teHHqYGsivgQ2aCLyAfaPTtMn28PfIP4Ru79rw4e +8Ks7w7f+vjAd5EF8Q5yDr8Y28ZfoFefu6PDe1Gqp2YJhw3LndcPxM5ozr935 +4q+kq9dVPW9qzTRvVvtrjd9Udfz0O+lHH/VfVrtRzxT1F/R0LL0k8Iq8b37o +ITHzHZEbZPFNATulXRBzOqPPe3zD3yJ32OUDU8dgIwJDwFjOPSXqSIzdEdjC +/8lB/3uZ/Tj+fFLUnZD5LZnzN+oHjE2Jce6hJeIBvr0s+j+dXxz9x8N/kcMS +k+IHib+piW6teA0+Fd+KH7wkak3kF+t1D3Mqjonfkcy62o1NazR+X8W5BH5q +e/hHfOX2qBeRI3wQNcNd+wcPQ7R2brvrLOATOAV2DdTYgHbngttjPjT5DkI+ +CSZgm9BsiDyPtTMDc96NPG5C5jj4ZOnJzyWv8zX+VOE75fsHMr+/4jPAP/UV +4lf2Wqex1R2u8XAP5O2c49LMdfBjwz+cGd9QuMMzgib6ChYR+z5QseyQ2zzp +2d2iN1o6OSZzvfuwyEe3lXx2cvFfpq5F3FuxbWPX5N3U+Mi9uzLX/Y/U2rGZ +6+lH5a7Zc2fcF/xMD70l7ttUsqzQ84siv+6KPvPBHvI0fAK4xTePpeELhkdO +NFn3fn7Vts3Zh8d50ZGuoPNm5Mz0d4b9bIscAfkTI7JnV3wLHBs1tjHx/WFs +rGXOmOhTT+Ad8f6GyNHwFwcXrpM+H5i6NHAJeXFv1OWQF3VR6kZJ5pigJ364 +8PhBai/L/I1ySO44CdvAv7HmlchrkAXfgIgFz4rvfNQDqB9QXyWmpyY9Pert +5N7Togb+x8yy4PvbwMLyejl3TZa1rZn1CJkiz096OF7p1PzBhXPmowp/p4SH +lszfp6j/QJ+7xe6532k158i315yX7xd2Qf2KGjX8su6RWEs8xHzyTmpIfcuO +58lrh0YNYdd3sDgXNZgDys5NqD3topX7m8DyiJmJpcmHiafnRb0fOshmTtAZ +Gt92GScOIqYHe9CpYaFXkzLH7atDBnyDpHYwLnPN9ITceS357fioP9B/NOr3 +xEXkKdR336g4XiTmHf9/eIgckcMgvb+g6jrrgIgbiItma3xDh/3t3IrjMPwu +9kq8hc0uqDmfnV8z76cH/70iR8A/cg5qlGDVH6lRa/wPan+Rm85zueNa6JAT +vxt0wDrqOuTk5CKMvxc1NTBwdOQg5AnvxXzyJOjjM/GHP67YJ6J3l8R3vRty +Y8qNUUdEDtQLeDc2vgNSA2Df7ogVx4Wvwa/xrYJcFn3BH6Ez1NMYx9+tr1kP +NtQsy3Ehz+tz4+KSwnpErIUucYZREffSjg65ob/IDh3+Hza1bsE= + "]], + PolygonBox[CompressedData[" +1:eJwtl3l0V9URx28Cv4QkvyW8vN8LskmwnIqVJSwKCcgSBTcQcWlPU6lacWmV +QK2iBxfoOaSFqtgiCCKC7LiBsrUFhNolIUBZansqsgkqaHuO9rTYnirQz7ff +/DHnzbyZO3fuzNyZuVV3NoyfVBhCKCoIoS3f5jiE3akQegOXga8AloO/AnNx +RQiPRCGMgX63KISt+RCez4WQy4Twy5IQfgVsQP4t+NcA48Ebkb8D/DTyf0Z+ +BTr+zV5v8u8t+M+1D6EjOsakQ4hYXxq18lLW9Tb0ipRtWAl9A+t7Y3CmTQjj +wLvBn1QawhT4j8OvzoawDX3T+dcA/ALbHoF+mjX7kanEhips+R02JOCbE778 +n9COM4CXlYcwizVP8G9MWQi/QecO8EuKQ2hhr3rWTGP989i7ojKEw3x/D8xF +//vofAf5ncj3Qn438ouxpw6dD6LrbmAuNr+EL5cAz4HvRGYN8quBtawN6D8P +XgaUQneGfzvnuAV9Q7DvI86yIeez/RV4Ch0L0LUQeBp8BmseSnmN1j4GjIc+ +gs1N6G6E/zh0Afqmgz/LmkWsbcH2OeDLsXc09j5aZpt/xl6/Tdt3t+KjNbFt +fU1nQH4V9EroV6Ffgt7BfqtS/rca3nboZeAvK4bQn6BvHrCeWH+Ajd3Zrz3+ +ngk+ARjB3lVZ41PKnFsvIl9S6hybho5e+Hoy+h4Df5/86QGvE+c7B/4P5Bch +v6XEa+qRGYfs1zlvHv81EbN6zrEHuc/BJyB7hPN9xvn7oPcEOpqRH4tMCttv +LLfP5etG7OnEv9vAD3Le3Zz3U+Srobuw5mvs9TfoftAt2PM6/p6N/ER4Z6A/ +gd4E7AM/w35dwN/IW/YY9Cvgy2L7ai36X0R/Ges3QG8ENsnX/PtPQes/6FPs +twt8FOfrxfkq8vbFdmQi8GbO2B37JyH3B/D3Kh1TxfJN5G8Hb8QXD6KjmvOX +c96lOftoH//Op53jyu0TpOcO9tzG/xPscQ94DvmfZyx7jnPPxL65ym2gEbw/ ++56Av5l4rMR/51hzFtk2ykHwnyIzD9n5wKwKn1FnPYuuBFs3Jo617NkEPh99 +p7HvOPyp2PVE7LuvnFBu7MWedVnHqiv8bfz7NfzD2Ptt8BmKH/RJ6L34Z5fW +pCyzVTj8d1KO2RTojtDfZK86/HsJ+98a2Re672tZPzly7hRQj65FfjFn3V/u +vR9ij/vg16BrMDBC9RTbshn74kfA3znPwFLnxEb0fYXMlzo//vgSf2zh3354 +X7BHV/AtiWuVYv7/2CNzoK1tlK3rgLnwvuDfGXiR7EFuveoVcCnrv8L20Zyn +L3ifxLhqqGrpDfh2H/LL017TGXuOsPcF6OwK/idsOIU9l7KmQ2Ifypfb4U9n +/S5i1sz6i9DTAn6S/Qe0d24oB3QHdReVQ2/HzlHl6uvoaASfmTdejkxh4j20 +1z/591HeNVi1WDH8PusT+D2hP4Z/IO+cVG7Ww78vdg1WLVYPmgTdDH1xsWvi +bdBDE9fWIuI3GLxL7LO2Qcdp7K6CPop9nfl3EXgT63sUuwd+C3p43rEPwDDw +oXn3pvP4eAj4fGLwFOdOI59G/jB7zNFdID4L4E1KnEtT2a8hcU1WbVYN/zF4 +IdAWvCf+O4o9lZW+G23Y4zLk1yWuVS+j7w35Fvgv+kaioyd499i2t1X9Yf3F +iXmqcap1g9E3vNA9rQZ8PzaXFzrG74KPIo67kVtGLjwL7G3vnFIurQTqK90n +1VNOJ+7x6vXqmTPx1fGMa7pq+boS1xzVntXYuz5xD1Yv3siaOXnPGJo1rmD9 +A6z/lP0nZt0rTpa6x6jXDFM84X+cd250wOYP8/aJfDOOMw5K3Ps/zHg20Qzw +Xewfm7Pt16fdw9TLhqOvAX29E9dS3RHdlSeRXZJxfBSnEsW3yHd6JL4thi6D +HgA9BPobiWuFYqBY3BF5luoFDIxd01Xbh0LfH7nXrsy6FqjnHoRennE8boJe +hPwa5Icg/wPkL098NvUg9aIi9i9Ftlo1Jvbs0x99k0s9A92MTCblnFPulcXO +xcCa4/jic3xwVc6xnQN8L7KuvsAgZPe0yoinmvAC9mRTrjkt4B2U0wWeoS4A +nxjZF/2BWuhn8o6terR6dQ023FzsmqvaO5u9Q8a9ZXw73zndvUr4HXUXdL+K +fIZMbJtlu2aWgsi5WZtx71KOKseV6x2RvzD2ndbd1p61iWePDzLORc0g98in +mnWBK5CvAfqlHFPFti5yLVVPU2+7HH6flH0u32um0my1lX/TIvcY9RrNHN9R +PNjzh+BHse0Qd6UO+ULsSQFXgh/Mu3bpzunuaSbQbNAVezOsXYatM3KeTR5F +biF79AWPsX2/5kH186zvoO5iu8hrLwSy8NsDe1Le81jkHqJe0g1+Dl45UAV+ +NTLjsPcY9B9LXLNUu35S4V6unqTe1I716SL7bJjme/x9Xc7zsHJ2ZN5nk40j +5JvItVEz7oDENsk29bTN8CvJ93S577Zm7m3IL+W7RDNj7BxULiomd0W+Q7pL +isGd0Ntj+141WbV5M/SmlM/8F/bqFDuXlKPK1YdzjoVioplnZ+zepZ6g3tAv +65lds7ru0GBsPMtZzgE1efdw9fJa9Z/IOaPcGQTcCz0/55xWLmsGrcaGlpR1 +HNLZYp9Nd1p3e0riuCq+k8EfSDw3LIW+P/Ed0l0aCNzN+ruwbWnGtUEz0J4K +z6IHWLMKvCRybBVTxVY9Q71Db54A75kKvxX0xtBbY1TsWqsZXbP6lbFrTQ75 +MvijY9davcH0FusW+25pJtBsoBquWl7HWQ+Bv5cYV41QraiL7ass+krRdzhy +b9Qbs3/iN4feHupxbZAdG3k21JtGb5trI89CmhE1K7akPQNq9tObsUfs2Vs9 +Wr1ab4l58B9O+01xVexau7Q1t/oljqVmuFuga3N+g+rtqTXqoeqlugPHE/cU +9ZZ/aR7Ie4bXLK833izW3xT7rauZXLP5+MhvN73x9NbT26Kptdd81jrja9bf +hY7XwF/NG9cbQm+JhgrHXm/cBeiaV+G3omqgauHsCs/KmqE1S6sGqBaoh18P +/8bYd1lvbL21r4udW9p7CvqGx85V9TD1sqGxc0t3Wnf76ti9UG84veVO5X32 +vuRTp8Rvfr39dcemRs455Z7u05OsXVjh2UY53wR9b+xZTDOaZrX/Ack+LfA= + + "]], + + PolygonBox[{{6086, 4462, 3484, 1653, 5462}, {5464, 1655, + 3486, 3968, 6059}, {5468, 3223, 3915, 4552, 6089}, {6060, + 3970, 3489, 1657, 5466}}]}]}, { + EdgeForm[], + GrayLevel[0.4948678859352736], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmgmUVdWVhm+9gqpXBVVF3XffKyUiLdoxiZq0cYigJnHoRBAZJAwFxaCd +qK0MymDSCjEGnNDYS8VW0BhBo6LI2ElspIBikhiNdrK0u8OggFCAQBDQyCD2 +//FvllmLy9nv3H33OWfPe5865doxV4/OJUlyQXmS6F/yqv5brOe8siTZ1T5J +NnVIksfaJclk/Z6i51+Es7/cv4HBfVjwFYL/UOH5HwreVJkk71f63e2lJHlU +8CSND+l5T/BfNS6tSpJmPROEM7MuSXI1SdKqb3s0GAfc5zV/Ym2SNFYnycY2 +3kNXPX8Sbqf6JLlS34/Vs0Nz/6pvh+rZKbhJ4y8LOoPgZ7MkuSQLnDRJbuAM +gq/X+ETB+E/r/VCdc5SeFq09TO8+LDO9JwuGZwlneGKavGft0cJfJfwderer +bZLs1tii+eV6uuSTZKH2+b54uFI4I8XoJfpWYHKr4BWCTxF8k+BXBevTZKbW +2id4jn5sEeKc4Oesgvc8V/Pb8v6ebz8umO681LRH5UzncMHwEf3YJxl9pKe/ +njO137sl10mCN0FLe96aGXdl7OEOwW8L/rrgS4o6q+R6adH72axnmt7dLZy3 +NF4onIv0bpBwLtb4bIPpDxF8j3DeCZyfCl4bNEfo2V1mXv5Y878PPnxH3wwR +ne9q/FZq3RmhczxVMP5z2twh8fWgnul6rtM3H2n+RxqnFbznRzQ+XvC666U/ +/6VzrhbN/qwrmh9o/pui8zutO1zzkzS/TPycJXpLNV4AT9Dt1HjgD0+9HvA1 +wj9P81uBNf+eni7iSb3Waik3zT3wLbVMp+gsRzOfc6r2lRTN3wcFzyiah32F +m4d3mr9YuHu0jzWis0Xo3SsNb0o8vhbzreXWt4vKLGPkd0/B8tkaPAF/dXy7 +Sziz9M03hDO7aDoDtO6hgnVpYepvODt8vVD4rdBJbRNNYRePyhZPqvdv7Gd7 +me1pXLXtBxy+bw37wj6GhY1M1DihnW3+6YJl92JmvH2x7gLt7Q3tbZ7GXwln +j+ZfyLwefmhFpW1yU9hgZ637uOZP1ni7xkl6MsHFaq/HWlPiHfPo3JYy6+A3 +MsNDU9PaHDp5ZmZ4iOa/mnmtRsHfznze61P7l/fDP3w5MzxQ87ul+yfjl7RW +pc7wjHjbLbNt/Thstiz0Ab0YIryS9tYo2Zwl2xmosV7nPq3BdtZeY5cG2wI2 +0V+8OVJtmW4QjRP1LBV8knAuFM5Zwvmtvk/Rh9Q+Fl7Ah/dEu1lPk/De1fuO +ehbAc+G3F/xz4T8tPT5N+tdJ9C5IvQf2ckR+rE+9+d2g/Z6ATojWlzR21DNc +8FTJZot0cqLgWn3zsmi2iMZfxZPv69ue+vZB+fCz9TToOU/vHhL9SVp/qnix +TnPvFsyPhqB/QOt+r95n+Ez7OqKnnejOEV5bjZNEI9HZPtd8vX5Pr/d6rNVZ +unpyrXm8UnHkS4IHV9sm8AvwsLnOMYb48kTOckS2T+asA+jF9rx9C35sQ6V9 +C/FuRs66gQ78MmddQn/+sYP1AB34mdb8XPTH6Wydar0P9rA+b3+Nvy3X/nNV +luVafbdKOOcKZ0nBMrpfZzwo/E/1tNHvpgr7GvzMmBqvAf1E6+6vs0xeEd7n +ZfZvt+r9vjrLab9o7NNzVO9mF4zzb6J/u3AuEO+6CWdpzu+nJrYr5vAdZ2Xm +S3nRvOHMnPefMsNtiubBUznb1zmZ4baa3ya9ulHw4cw2ih5lYbvdwn75zTiz +3L72Vzn728nV5tkOwXdWW57A1Zl9KT61SXM/17NbP2Eq8eY3OteOvGHiDnHm +joA35x134f+BguG5wt+Q9z6J0egEfm1b4vXvjHWROXxAN/Br46udtyCzKbEH +7G1y4A8r9/6YPz2zni1OrWvoEPozvo3lhh29k7MuY5v8PrGdabyVs10/m9g2 +Pi6331ids148pvn7Kx3jie/9ZIOna/xEaz2jMx7QevPx69KZrpL1Lu2xW4Px +u2pck7MfgM6ynO0LHfhjzjbHulWZY/8rormx0jB2gX3cE3BNZrisaFt5IGd7 +YT3sEp8Ez84Jvm3X79bI476WmSc5fbtf++xbb31BtucGD9dU2rZWa6wQ3izh +f0vfVQn+teDvCm4n+AXBlwteIR4cKbfN3J6aV6/pfc/UOcmjgu9KzfN3BP8s +9XnfFHw4vu2GzafO2X5RtM/Cd52vuftS2+4Oza9q62/AZz1gbLBP6lhPzGcN +1rpbcwvD9+KDV+j3XMFXER9S2+CrRcdmYvSMzDqKrj4m+PeS2UT5gibhrNT8 +PM330vwqwfMF9xZ8Rup8+TPhpFpjkPZzRoN/Mz9f423oivRve+K8oFOlc4x5 +EYsXaRycWu+Jh73a2I/jw5+UXdfKZupEs2el87edifMe8p9LU8uKXBl5wRP8 +182J40Aj+YrgAeW2JfRhpGjeK3iUxptLjiu3lBwboQHudalzDPIU5Iccr8KP +6d1Y0R1Sbv/xYIV9SHP4Unwq9oBdnKw9Lyk3zvllHv894KbUPo5cgHwWPmNT +xI1+kVNRB8ED9r82tR0uzxzDiGUfaPxdxGJicq/gGXxeUXLeuVzjFr0bQl4q +GiMrbMMF/f6b6H+q58PE+/yk3LylrqK+eihwmL9W8/+d+cznavxTZh0cVbT+ +PlTh33sKjv8fauxd5XyR+oL8ArrYKXqMPk/Vfl5LHQ+aRW9e3uuxn9cy2/V0 +0WkWzmzB38t8vhPijJyPnJq67caiedtd5x0R5xqqZ4Le3VbhnIEYdmuF9RHf +8l74F/D+Fmf8v4Lp/aXgXOZQuXkztMJ6RUwkf0JXfloyzvo2PjN1DI59aOj4 +fZXWl5XBH/zEMp3lJfyVztJMjM5blqszx9RTRHOJcJ4X/M+Z/SB77N7gXIec +p2fm2EPceSqzXJHvZsH3Z66tv5Lav+Bn7hT8tdR616PkvTwc8toQdTSyHpY6 +vpK3Yq+9gs81ecuR/B1/gw9irx9UumYjh2P8IOrJh0vWn1O15zEl82G0xpcj +p5oTdcSW0I27C85V7tI4WPu6EjrCqyk6ZszV/LRK1/jwnTxzWtgpPQF8CL6G +98w3hV/Dv/2EmiyzX8I/sT++Yd0R2G7I9PKi4cuKrrd4Rw03OfChT+01IvD/ +kDqOrshsA/DyTM31lc4PFM5MvRubugahFukhvEvFt5tT17LgYNcL8s5pL9Oz +KG/dwTYHRfwm919Y9L4v1lzPom347ZLrbuprZE++jH4Tt9+MPBk7Yv8D4rzU +ZuRZ/Rucx5PPt4hO30rrLuci9yL3OCNzXkV+dbbgySXr8YUF52HkY1/PHIOJ +xY8WvD/2WSn61Zp/TvOXZT5rj0rzhNqCmhP/RgwmFn9FOBNLlhv+40C5bRz/ +h41uDP0kphJbJ2qdFyO3JMfEb5LfkMv8MHWNSZ2NH/1B+NJrU9et1NbvhN6T +S8DvkcHz11PnIi2Z+cv89NT2sSF814bYD99WKqddHrk0doV9fVX4l7S1rPGl ++KE3Ki0LxjcDRj7A+KWJgYPfqi06D1tUcC1KXwfd7VNwPOut8X8K9jn/S28m +de+IHlJD1D7oFbUs30LjvoLrw3sL1u2rKr/QfWSP3NsXnZO9JJxuBffpri44 +FyEn6Z76TMRgzoW+DA2dub7gPsFO8e2ckmW9Xvh1RdeBr9ArSt3XomdWr/mN +1JWCzy3Z3jfo/S8KzqEf0Dg/b5uAlzel7qHRSxuduldDz2ZC6pyT3HN86v4V +fSx0FF0dWHD8HxS21hL8oE/VWGFfg59hbIy8glh3ScjuipLjHXFvXOoeAv2z +IfHtzoibjZEDjEndT6Cv0BS9BNYkx2ckz+9WdI3dtWjd7B/6OSB4CC+Je+gu ++tY/tb18U3v5i+ArBJ9d8sj34GJfA+KMp6f2/8SBG1P3JOlN3pC6t0CPYY3y +jZY658efRIwj9nWsdb3aGD2Dpsj/yYdX/53vHRD4d0Tflf7ritDT/uGT8E38 +blPl+pN4T21NjU3+T20BfeLL0ZgnVlGHHso7J2DNVeHnl1V5L/SEd+v94HL3 +3KhdqH2O1S9lrqWxTXT8mvDXC/N+T04I7YNR57Iv9ocfJy8cepwP7UwXf9I+ +9s2eP41vqVn4/tOYbxsw8+0Cn1qGM3G21VFv0UOg5qJm3Bl1Y58qx4yZIUdg +ZMl78I6dSXPjqqzrjOMDXpDzb/rS66tMCzrw9bbg7bioe8BBF4BviJ4D9KlV +m4JH8KdT5Czk5+wDmsSOXMiR/SNLftMXSuNcnLdjzINDz6Ssyv6U9/wGhzlg ++HFT5Gzkbj+pcF7N2m+HHNkbNtM/ZH1Ac52rHJfJH8gv8enIlv3jw/EbC8J3 +4F/fCB9L3b0xam/82aa8e2UzROOJKvsBeibgUZvv1Tev5p2PV0d/i1p7S/S0 +6W2Pyeyr8dnUjTNDx+ift0YPnbxmfdDcGPSpW1bGHugP4D/YwzVRXxPPOAs9 +CvrCI6KfsCX/RS9/fXxLXbI1/0X/YWucC9qbAwf9XBN195aYXxG42wK/NWDo +3ZQZn/zrxswyfD36YH+MOn1x8Adfg9yP+XPN35K5b/im8GdWue9NnkGePjPu +LMZmjgvEB/Tn3ehFIDfkR3wkH6ce+CRG5vHL5WGvCyKGLgj80ZnnycvQhUWh +D/TklkZPrDH8CHLsGT1cegXUakvjnoj9cbeCn2lXbZj5D+P+hXsYekjkUcib +fc2LPRAPWRd7wm+8FbyCxrKgCQ1663z/bsn6/FvRfKTk/Pmjknto6Dp6Tqx7 +Mec+2K8zw0tT06uO/g+xkV4EfUVi7OzoHTUHDvvHF+8L//xRwOSN5Fr7w6+S +KwITR+DVgZin5qAGIP/n271hj89kXov6rHP1Fz228zP7obWZ87gD4Yv6ho86 +FqvK3FeB5kWZ+9j0s7tmnqfvgo2zLvXF8X2zLmdqF+ci1+Pb64LPzMObvYHP +Gam7tpU7vtK3aA3/2Rg1F7XXsMz5D3nQZ+GzsZd+0cslFlMzUTuRWwzKHKOo +X/dG3c7eeE89vCKelvAJvF8cdNhnS+jVtsADh34DdzTcVwzNvAfqfnI96kzy +S+obYjC58uii9zQy+kichV7QqXnTR5cPRf1+vA/BiJ8hd+a8xCxwmiP2DY/e +L3QORhyeetzey13HN0ceAD45BT0xYgp5KHUr/UZk/nHInbxsXpwL/z4k4sua +BtfjaxtsS9uCD/Myy4k+E7KaH/QXZI55q1PrRW3oBmeh58yeX868Fv0qYt/2 +iH+tASN38ri5oTNH41vOyH0Wd2P074kb5O7k5PQVj/sJ9Ld3xMTODb7L4E4D +nz08/PbeqH+pg7Hj/dEPJ2chd+Hs5Db0rMhvWI959Gdf4E+KPGdP4M+IO0lk +x/0k95TkmjMC5h3whphfV+WcADvE76IT6EOfmOcMszPHveWpadKXINY8nxmm +V/GdzDrJ/SG9Cnw++j4zs6yXRI5JrUeOcWlmfaBXSkxrjBx7SvhW/Alybg17 +nB73raz7Uma5rIgeycE4CzX0y+ErjssSfViVuRfx57gT54zY1Kygj04hH+aJ +QZx5XeQMzPEOme4PXwvPOWNzxLVTI2bx7RPBX/hPvkG8R1fREWLV0KgDsC/q +gr2KORNqfc80oGg9R9/xT9Xho0aG/U4p+U4mX+tasjVsYWbY0IHIw9GF3aGf +vWqkv3XWzzEab6lxr2tsjX8Dk/sOjz4GCcjIqNnoNy0JOQ6Iv6nA56Ofx/Kt +xPEaeSG3UaL3ozrbLbH0pLjnQs7IHlmw3sSwl3yDYxkxbV300+irZXH3Au/a +1roOoQbh/u3jGsdjdO3YHSj60OC8cFDUSv2i3rkm6lPq1C4l6wC6QE1TUWua +Lwj+h1rXBtw7Taz1PdDK8LfoHn83sajGdTLnhA/0eeDP3ogdzeE78b3dhf9C +re96R4v+6BrnrMT8hRH3r9BaPTr4bnhj9A3oXTwSfz9wder8a1PkYHdF7+sy +zT8m2qd18H32vVGz94g7o/WRN5KjbY08jXvyabWuNZ/TeHkH339Dm2/J68Al +LyQ/vEr7PVrnXtHNgu+sdd+EHgb3gujebzT/5Q6u+TqL/rc7+I4du18cce6B +qNN7xf3X9qhTegu/sYPv3MgLiAfkIfgJchTiQkvU3+jZruhj0M+gd0XNQu1C +jkMeQ85Tpv0MrDM+vShy4mO+InIjYOLD/tDD8VErESfmRc5I/Ds1bB3/QNwg +fuBTRtVYlshxQ9g4/go/hN8hRtBfpAdIbwuelXUw34gz+0JXp0V9PCAe6kni +I3xbEv6ki777j1r/HQN58bLwS9jH0rA15Dc56g3+/ujPNY4T1JdtIydBPv9Z +YxmhK9x1EUegib+CFjlRa+y/psFn5i6FGDUs4tSUyNewR+5D+oUMiEHEVGIi +uSby+H7kZeRb+OHBRffV5zT4vhT/RC56QtxBkEdyn3+4xrnhoeAt/vz1uFfi +fumW1LXalZn/nobe3A9S19DtI3+mfkwj5+decVuNYzK1IzkNPRroIZNJkV8M +jhzj8dR97DEFx711EfvI0Q5HfkbN2jHql/8HFh6iaA== + "]], + PolygonBox[CompressedData[" +1:eJwll2lwleUVx597CdyYcG/gve+9t6BApTpYQafIUongAlgTCCAIhCxQsGpb +IAlEcCOooGJBq6MDBbtoQUQWUYFa7VhFsSw6Ko6OTscIsgkKcQP0Q7Ho7+// +w5k55z3Lc55znrO8Z1/bNK4xGULYBxQBSzMhtHUMYXlpCPXA9nwIe4tDeDER +whVRCCOA18AbUDqVDeHZOIST0HPOCKEV2fOg/wxvH98mIXsKenrSNmTrn9A9 +kD0J/QZ07wJy7bCZCqEP+KPwb0f+KPzX4dflQliEP33wpRz+K3zbCm8vzrZy +/rfwA7pTOuAf+OmyEJrSIdwI/yfoTMOHT/CllTMPoLsWmR3IVqIzAd4Yzns2 +6TvMhZ4I7OxgGcl27xzCu9gbif7IkhBuhf89si+gU4NuH+hy6IeRb0T+Vb69 +DS+B/NucN6hg3+/jvGbogcg/hPx+6K+gK+EvQv5j6BHglfC3wb+Jb//jfsOw +OQ3bo+APQH4//Brwvtzvavi3862a+C3j2x3gfTn/UXQPYmMKsi8jsxe6K/AS ++Db474MX4d9u5C+E/hv0AeTrkR8NvA5+s+4Abz50e/CtwBTocdDvwL8DugR6 +LfAF9B7sHcTeLPhD25MLoBLeKOhdCec0QP8ceiD0g9xpBndLdOI7cCYxmsOd +liMzQ/6T453Yewn6ZcUC+k3oYt5nJ/JxN7noDxwnZk3kqAV7b4DXYH9/wm/w +fHQncMZtxOcm+BPBf4r+Nt7IQnTrga06A9utnL0E+bHo7044J2dA/xb6U+jV +0JdB/5cYflTkO5wPbw3fPgffAP/J2L5Vcp95pfbxPege+NdY6jf0s4Jz/zA6 +PcGrI9fKX9Dvhf5C7D+A/dHACnhf4+vaMvvaBRuv4u8lCdfANvAG4A8p31F3 +PQ+dAQnfSXfrDPSE/zz2d8BbxRnH4K+Dfhz8N3w7DL0KehD0WcRnK+ct4Lxa +4Bzu8hz0HPApnL8amTbk1yP/BHgX5FOqN/g1QDX+v4Yvg5GZCP4I9md2cI2q +VicBt0DPQ6Ya/Hr4R5B9HHuDsfcn7A3hzAbOmgwcyjo3dcgcBJ8Lf1TatV0A +/oV+t5Rrdh32DsN7hHhX4Usb8V6L/Am+zS91Tr7nLv8v83tQj6hRrpAph7dC +bxD8qzLbzgPdM/4mvE75xMf/tHfNvwv+CrAd308T77eI9S7gSLHffJVqIXLv +1Js+if8jkR+G/kFgj3pl7Fr/UQfdD7PubYPQ6Y3u8TK/AeW+K9Ab+b8m/cZr +4U+OXOuq4V/A+ztwFPpJ6JXgv4f/GfQT0ENj15RqSz2mQu8L+hDxWwp9MXRd +5F6gMy5A/h/E7txO7n07Us51z07OjXI+Dn9fbOc310u1XnBsFeP3wIcjux38 +LmTnovNrZA4l3KP6xe4Z6h1PQa+D3pB1r1GPXS/byF9T5Dc+E9kxWfc+1Yhq +5XpsXwfU4kMdcAlvoJrzJwGDc+7B6sWdsXmP7hb7LR1WDsDfxMcjab+V8eB7 +kBnJWbXoX4r+VbHfumq8MfI38eqAy8AHARPAxwMXg1chvxH5r5FvRv7LvHu7 +ev4A6Ctj50Y1OBP68pxtVSGzF/qivGfTd8SrNfJM1WzdhM6m2LHslnFtKqbq +ZamMe6F6mmpcta4Z+wG6Q3KOhWaGZodmqmaretzV0NXod824dg9Tpm8Rg+fS +zvWF6q1Z9yLlQLk4Bl2fcA9sy7o3tEe/X4l7xNHYtd9GfI+BD9eMSPpNzkD/ +gaxnh2bMH8F/FbsXqac0RI6BYqEZMkL9Gx9WtXN9TgRfHzu2T6OzAfzuvGev +es5d4GOp/e/Uc0tc89KRbgs+HgBfkvVs0w6zWP0JuB/6fegV4Pdmvdv8WzMA +/L7Is/MDoJnzzs579qsH9ATvjs1enH0OMe2h/STyW9Yb6g9/ft6zWTFryXuG +a5arJ3+M7KjYdzkO/8bIPUS9pJRvd2p3if1WtSMdAl/Cty7w9gCzoStizx7N +4CZ4N5CPZu4/l/xMRWcf38amvEMMz3mGapYWoTMP3lXE6yTyuRL3TL05vT29 +6XLkt0gH/Cnsb855Z9DuIB8WI7tMMUt6J1gK/g22KjSPS22zL/IVKcd4J75O +zXr2qWdMAx8fOfaykYafKvgs9aTigmdRj4x7r2bSgsix0Y41HfkafGrB1m34 +WAu+i28r4Y1Av1/eM0azZjF0E/Qt6J9OeKeYhOwLWec2Ap4Hb8xbVjNFs0W7 +xay0dxPtGNrhtMtpplVhuwO+rcTHI8E1UIbPmWL3gEzBO6d2T/k0ULtmzr1d +Md0E3p9vjyXdE6dy3i9jz2LtrNdCV+a9K0mmArw89qzUzL4O/jDoNUn3+OmR +a1a1q53wAvCWyLnWjJqMbLeC36p2iLPAL489G7Tj/A7ZIbF3Hc3kG7Tv07/X +ZNy7ldNGYtFQ5l7bXOQZplm2hDNn4d/svHHlRLn5KHIu1JPVm9WrE2n3GvXs +0eg/w3kn9A8R+Z9A/wbK0c3Q9TnHXf8Aq/E3ie4X4JPbOeb78W9z2v8P+mcZ +Frl2Z2LzG/K5ELqjdh9gBmctijwLtAM3xt41lmX8r6Od41Lo5RnvOtrZtMNq +l9XMno3uvZHfym6gSbUb23f9QzwT27fRadeefDyhXSPj2a0dV/848nWLYgD+ +dNa+acfemPUM0SxRzXwYeSZpNqnHXAN+Cr0xnb2rqMdtydoX3XEz+Oexe696 +Zht4x4Jnu95kWrUVu9co5hvBh+b876QeoV7xA4Y0+48= + "]], + + PolygonBox[{{6094, 3437, 1138, 1656, 6059}, {6060, 1658, + 1141, 3441, 6100}}]}]}, { + EdgeForm[], + GrayLevel[0.5859538765284897], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmgmUlNWVx7+u7qrurq5ququ+qjKYcQNFNncD8ZjRuMQYREERg05YNMfB +ZRRXMmfEJMYEjYkREBRmNBmXqOyCC42yRgcBNW5No2YGJCoqKhgwiSIw/x// +y8k5/Z336n33ve++++7yv/f1wRdffe5VmSRJflKfJPpLXmhJklV67qpLkjkN +SXKP2ms1PjlNkktEOLuUJCv0/uWmJPmR3u3XnCTT1H5LzyftSVLKJUmPSpJM +rfP4NZr7umhf03O0fq9R+5jaC/WcV0uSU7XWMLXb9K1P9czU+K7WJPmwLUkO +K+h3OUkWaXxW2bzMDX5e1DovBQ+vao1TRfOgNtBb/PRpNm1HMUk2a511jUky +UTTv6P2sOr/vq+eb+l3XLUl2iKZvwWO8+0T7PF3rfRnfS/WdOWpP1vOy9nea +3m1T/wCt/4HmztPab4jmGK33G/ZVdb9OPB9f772fIJ5XN3n/7L2jxf1r1T9X +9EeLbo9ke7vWO1/7fzTvtRi/U+2oJs9n7troH6P+FzqXL7LiVe23Nf9L9Z/X +epO1j1X15plzOCnOArlxdv+s33skl83aywjtt4/m9dVznmiu07sRes5Q//t6 +Nyjj39NbzNd4ZKK1b9Nzfaw9PtbPaM9/Fd2Pa+YZfodpfLT6/bL+ztYm6wfn ++KZ4WN9onRij8XVZ0x2bmp9R2tPyFp81Z3Cp1l2s3/+qNoeuiWao1nle+9hf +fC5Tfz7f0bsb1R+hdc7W73/XOn30/K/o1ovHy7XeZU1+9770tlPtQsltY7P1 +Fdm/prldGn9d7SqtPUr9otr+OqNniuZ9WqN1917J4t9S01yp9oct1puynpH6 +fZ7GJ+j7g9Qu1hpfaf3XxeMz6u9Sf7jWm6N1T9O8NunifLX3aM2OBs+9Q3s5 +RHb1qeh7iM9PNXZL6PxorT8MWam9WPM6xdMberrnPZ7TnA/UXtPgNZeoHanf +92rNK1L3b8GuNV4W7QKNH6axnnrOVf9gtYfoGaL+o5o/IWOd7K+5h2r8Is39 +v2bLjPHGnOczlzUOjTN6s86/6fdJveYIzV2k/tPqL6laN18Mu/6Zft+vfdyq +dqC+uyVjvbk4WvStJNp2PefCt3gY32wZscbYJuv/amSi/lkZn++GZtvkgkb7 +C3wF9np02O9xksPZop2i/mLx1iHeloqHAfUewy7wEcztUNvU4nff0PNH9R9v +sT5crfdX6UmabB8/CJ7ZJ/staO9n6dx76dwrmvNLjT+l8adT6wg0OzWnh/Tz +3laf7feypuG7IzX+NfmvQQXvHzlgi7Rt0b8anRD9RH1rrtYYom/9XOs8prl/ +aDWvzxat0+jzSPWnqT9GMjhG/XvUX9Lic5+e9dlXRDdD/f7aSxkbUP8g9T/X +nG76LfPaa1/Pa/xm9RdJH6aqv6rO+r8obGCqeJuk/jS13xV/k6GpeqxV61yW +se9/usH6/5zWOUo6fVfGdpXG+b4n2h2iWczZaO589W8Q/bOi69lo+5oi2ifU +n6d3b2nfb+rZqH19J+ux64lxopmddX99nb8zNMYXau7cBn+/Let310g2nVqn +S+vcLZonG/3tDXqa1b9QNJv1/hbR1emMVoj/IzX/To0Pa7Wvx58u1Fm8oN/P +ap1ZJcdZ4u0der9F4/mCfXk59rs9b73nzJdpTiVkgS9BV/EtqyImEcfr8/YF ++IHlam9oto6g09AX0cOSz/EFjd2b+rymq/1c41u11n/UvIeZmj9dvJTqHYeI +QTx9Inb8TfTbRX+T6I/S/MM1/gONXV0zthhXs1605awbL4W9s6+v612DaP5J +bZPe94418fsv7bNlffcFPR9rL1eIbqXor1T7TIv5ga8BdY5h2OmyvDEFcYr1 +esWaU1vsI6EjJqQRy3h/ePguYuzaiNH4RuzoYY1vqjeWQA5vxRzo8VUTRbex +3naKjWK/Y2OPxNwDNX6/nnMS6wyxiji116eLfp1kNU9ym6vxudiu1hzY6Dj0 +U+nD+9KHXeL97arnzhfNgAbjH7DNTOnSylbHj29qXrcmy+qYguM3foG152Vt +I9u1ZiIf0qdgnwheOTrsZW7QpGonZ7zX5fIJR7VZ/9YEDkE+vbXGzfr2ZVpn +at5y5RyGp7b5C9Tm1d6XNRbCFrCDLtH8pGr/clzZNo5tYX/9td5/tjqWtmve +pIxjyEbtNaPvDtHvayWv0/TuLK1fp/GkwbaCj3k6/AxnwFlcl9h34rs7Igbz +HnsfqHVeFN+fVY1VxgReId6/kvG5H1s2n/ALdsDHocPEHGLP8ozxLzGXPnp+ +eWCMHo22tX3xnhbZXhJYE5wJ/+j2yDrbB33W35q3H8OfZdVv0HNjs2U/KmyQ +Fr6xw2rqM1tQNZ5iL2CwMUGzD4+Nij76tTpsim+uDh6mNHuf8IAuoBP4Svwc +untjYK29eqzxMZLPiWpHlx1Lf9hgPIBPxYfiP4mHxMVzMo6L/CYuEosnNfmM +8JtXBU1dk+mhvaXqNXeX7MvhBxnim1mfc0TW8EzM6KgYYy2u+FwWBDbAD4Ln +wD9pzpiN39s077Mm5zLsHQw9NnDilOhj29j4jaI5p2p/c0bV3xsbNv6h+NnY +5Pj1kfrvwqf6B1V81mMlnyk52zZ2TQ71tWbH6180GH+AM7BD7BE/RkxkzRWB +f8BDYKBf6qx/pnfLqs4D3m5yHHxNv/fXmr9OTbc19kWshGZsxt/s3uw4Qrt/ +9IdmzBP03YM3xmbWmx/st1k2+VnefIAn8LMT4/03guc+kWOBrxgbEONrWqwn +e/FUapoJFeOzzsgTl8Z6A+vc3hb9cWDYRuOrH1fdv7nqHGKEvtel9oO8sQw5 +xbfU/zBnG96jOWMafYaP5E3PPPz/6EbHAOYwRt5C/jmtxWtiI5xXRTQXZawn +5Ic86M3cmNcVc1lrefC8LPrliF2rwq6hW1pvGwR3dwX2ZmxZjH9bfP4153dz +4xzJm+BrWt6078ke2tWeXvX7bXHW5EMbIicanDd+4Nvo3pjYy/L4Fnyi7+g5 +vCHvNMbxB5XwCetbjFMOx1+kzkM+UftczbikreZ8E52DB7AjWBL6ARGjsJ0f +6by/rrEh4vnd1PnJe6nz8CVaZ1ejcwFosKkZEW/hoV7f2CyalcR/zV+OXaj9 +U9Z94sOcrLEdPmG24tVNRedLYNtRRfM0S+9Pz9rnvKz4dVqrZfpY1jEFOf9e +9FcUnTutjO/OUduq5y/qdwvMwrfZI7aNjSdV1x4WF11/WB7yLEcOMSDwCbF0 +WdHx9FJ8d846QN6XCx9FvlaMGAQGqeTcf19zvxLPh0pmC1psG9gF9rpf2Owl +oTd7cxzRzxD9JaLtqdjaVbQNEEvwX8iZXLM9Z7z9dtmyXK69tGufO7Tfp2rW +l6WhG+jFjDgX/Pa2yHPQn4mBqcAaZwSW2BT06AD+GL9MrPxKvK0sGss+22C/ +vCriEbGQ2ESeWs5ZJmDb1wPfjghfiTx7lew/zxXvK1qNh8BCrEE8/jh4pIZD +LvZcq3Mh8iBiy6NRb8F39Y5aEFgGrDgi2s7o4w8vbbDPQ9/JT9GZx1PHRTAa +MZt4SaycmXWMo67WHhia2H1IzTlkj5pjy4CIL2BwYgd5E/aK3eK78FV35axP +8yMegymacz4bdAy81h7rE5ewbfAzPoLxdyWnkvRmaYtrCPjiEyPuHCF5/Kno +PAF/MTl8AnWudbF/bHy/iFlgAuIxeIoYTzwGc2FD7BWZJIEJqHX1rznfPULt +8LL3e4HaB6QDlxetx6MCy8B/Z5w1Z0z7RtRn+paca71VNo7ju9g7GGl84DFw +Fryhe/gS4j96zl5/EfsFC4I/8APwSx97GR+2AT32QR+7YI3xMY4skAl1MrDt +zIiP5FfID7y9Jm894V1zNmoniXHF2MAqYyTzD6SLuYJjKrEVfSLfAtNiX0sb +7AuwffT347yxAJh7cNCR61BHxe7IiYn3Uovk9JxjATEBurpYc0HZ6y5UW6z5 +u4Wa7RB7J/fC3yyN74KRif3wCEbD5rF34iFxEZ//q9T98RXvlZoB+82EbwbX +/Tzrs6OPb2Nf2DV6vifiDT46G7FmcMYxAb/5YuAO9o4caLFlcAT+jrPrir3i +Sw+seZ0DsK/U9cwHSm7BHOgV57M2b5zycdky3FJ2vv6HyFXAoeBReKZu+kHU +TtuoUWKHZeMM8Abx/MaS8cEiyaGr4vF1xD3igfq/wRdV47ui3d3oPbJX6kjb +4jz/XPb33i07Fg+M2E09JomaDJiOswb7NdWsG4016yYxC/08pOqc8GC1Kxuc +0yKfW7PGkGdHzgINfhIfNyjkk4taMbxR23gp57Pnm2BJdKwi2ZY1P02de5CD +1FLXpGfnrI/kcNCQS/5Pg+u24JN+4jXVnvvWXG8gn8c/UjejRoKOgenAbetD +RzZGHNkuuWzXOn+JdlbOciDvmBMYoH/BZ0ceMa7FOSV4iJpHh+jrQpbUqvC3 +/QrOiTkT6oXUN08IHHVJzP0S+eWMyV9p8R3DrOD3seCZ+dTZ0RPyWmpH5LD4 +AdbEPpaULYulZcduMDh+FR1aEXa3qcX6Rv22M/wN54P/4tywC77J/vgutlYX +OTK1NORCPrKlYjz5ETlRo/dwQ+Qpe3OUxLYDDfbzYdThqOlhr5z5ORGX6yLX +JocZGDoDLgBDgQ3AcdQC4O221Dw/WjKOw6/hfy6KfAO/QT1ud8gKPIWvGBJ2 +vyTWAR+tDL0FM1HPwtfuxcL5f+QL5CP4QM5qXJzX02XPXaS2PXVNoZS6VlZf +cA2YfJFcnbhBLZKa5D1RhyH+VgI/3x2xGGyxKWr1d9a8zvFlx6zVcY/2Tov3 +xr7GFPybPue5KfqcFXVE9juyYJxNnzoTMQGZsT9qP+wPH44uIv+dFcvwYWK6 +npOonVVs07nwJ9/X+EFgVO3l1+IzozWPKFvO68PHwmO/0PmrKt5jv5L5ejP4 +SUuOJf0r9jurIpaxBnyTG+C7LiwYU7HXMXGfQdxG1sgZ+1sWdySjS661HJe6 +HoSv5a4B+Q0vWIYzau5PVztasTLTzTbNN9+MnGRTfAt5Tor6PvGcPII7S+L/ +iIJ5w68yZ0ns/aKC7xGXxl5Zl/2CNzbGfQF19hExFxmcnndMZR7zsX3yCTAQ +WILaJN/lLmMOGIU6T9n1Ue605oTfuChwGDXO5UGPz9kYdypgQLAg9nlFxdiv +d8n5DBgO/EZtgBoBtgodPglbZt1XA+ORw3C3hK5yb8a9ztCoddNH5k2S6842 +1wuPLPjs0c1TCh4Dz3xXdjFKsj2z6joq+Qe4+OSCc2ZyYO4g8fs7U/vYurgj +OKngewzoqa3i56kfUr98Nfwne8B/l8NvHxm+G73EJ+MPOEP0jLNYUXT+AGYh +Zv4x7l+Q6yuxJr7xiIL9IzVueJoh3rI52wV7v1u6dZ5opqhdXfUdx/2p72qx +F2oDnOeO0KWD9N1Z7ZbpTVXfBU6o2q9viLNDbzZE7ACvc3bg8wk1r/N3neOF +JZ9HX33rX0q+OzsidTxpLNgH4C+5B8DuydlODjmjL8MK1plpNfenRj2cvSDb +48XnrjbbG3LMBIbBRw4KfSb/WBP3WJznSXGmI0uumx+dGs+eEjoA3qDeROzn +vhdbBUvhLxdqjzvF54H67qHtjtltqWNfN7UPtfneixwAjNAZ9eUri8630dMe +agcVjQm+UzUN97TEpOfD/yOXTYEBwP77ar1PhP8mH3ky6qbkR/OiRkGtgrp4 +V+SD5E3USam38M1H2vxdZJ8L+YPV8E3U7fFP2Aw6A9/kKNwpzNK8Y4u2Sc6G +WHhh1C42Rf0Cu+Fb6AAy+jDuy7pSy+/21HUFahDgf2L74Ijv96XGfD+tGv/M +CJxMnARPc6bUhsl/yH32j1ox/eaovw/VedZ3sw/Ftvq1+Zw4I3h/st3831d1 +7ns7te6ic7NxkQOxJnnQkRo7rugYTD6Ujbr02oLzGWQH5gHv4GeYB0/cR5HH +Lw7MT56NryYPu5f/fyj6/0KGlGyD2CI6BxYEFw1Lfb/yTtW5/q2BXal7bY1a +HDb/TuhGQ3wTnq8vuS50Nvpccl3iHO5baq4bPlkzRgWfcqcDlkTP8Uc98/Zp +YF1wH/4WP8udJ3rPOYKj8HXERXS2vf4fdye06Al8w//5qbFnJvxjJmdsPCni +18yoTcF7R9yBbtGcTzT+UWr8sDlrf/5szucLrmTerJiLDj0Wtay/SbYN3ewH +5yvXXF2wj3lCZ7W21bFiTmrcPDs1jqD+CB4sV30H0VqyzqK77P2pqAvNVzsr +9bdnqv19xXc5j1QsU2TbUHOeRE2WPOm6kuPl4NQ4AP9NTPxz6n1tUjuh6Pod +se6/K743eqBi7Ia8JoU/oHaGT+B/CvDp2Cb/d8D/iKB73OnxfwmcKbGSPcD/ +tann3lHy/5tw78gZYaPN4aupqdDHP3BOnDGx7KGScRf4i/yR3JFaEPWzRXFe +xG7o0Qf84lcNlt2pkvcprcbH1O7BaoeXfLdBHWpY1TkTd+rkTQ9Gvkr+SqxE +B4jpx5dcX9hatQ2wDv4C2+oI+1of9UnwDHdT3cMnrGn12XPuYLkk9HZP2f3d +Zdtr97Af6nLU5KhLfln2Xs4s2b45B2TL+b4SOT1xEH0k9i2o+H+nFla8Bu/h +jdyYHPnAimnzQQ8fyBpsyTkhM2QOtvkydO+Lsvt/j7ybfIlc6aSol/ObeV/F +3B1ly/MU8Xyw9OrBNtdNsWlkjF0vjroJIgCHkDftG/s8xrH1ndHvVrJc5peN +Iw4ILEHLXS/xolfq/gUl59B7ApNTHyH/ea/su1Rwxt7/jQucCX6GdnfQ4wux +c+S0ruga7r47D+4DiDfMWRD4Bx66Ik7xP1MdgbXQOXAbdU3eHxB89ozclHPs +FTk6ttBZciwgJoCvwdngee5sqLncpHZ6q/9PBWzHQ62QPBVcuT78/2F6f0i7 +sQv+nPtofPqM8FucNXi7M+q6bxddiwR3fE++40TRn1lz3NsTvp3aI3GeHB/c +TfzH71GLg56aG3ZQH///8HDF9ZyHKgAy+97BJefM1IWpI/2u4vrMbyuOb0e2 +O8b9V6vvpMld9vrr4JmcmHoI84/S+37txkngBL7F/olpJ7Q7roElWL8r6mbb +4i6JWi44hVrl8Jr/F+x8tQ+3GWuCM1e3+v9FyF3ICUqRt3eP2Ipd75dzPYG6 +yuMV8za/4jjWI2/Mhk2Uw4+xD/6nh738PyRam7Q= + "]], + PolygonBox[CompressedData[" +1:eJwtmHmUVNURxt8sPQPT0z09773uTiIRYRCEGUBQNBo9CrIo7oIoGgHRYNhE +iHJMAI2AEjXkqMgIRI2KCoLDGgOD7EIS1xP1AAJ6gsoq+44gMb8vH3/U6apb +devWu0vVV92k/7Bb7i8MgqB7QRAU8zsvHwRHyoLggkwQfAV/TRgEP6BYWBIE +E7PY5IIgLA2CyYkgmBIHwVzGDjD3Y/Tz4f8b4QTdVOgl9NMYW4puGvJN+Dob +n4lkENyNz2PIJ7A/WWyf8n2KOSexbUYM25G7Q/3QfYVNK+zfhG4h4LMaBsFn +6F7H/3v4b4v9t5Wsw/xa5kfMWYDtGGxq4acUBcEo+POwj5i/izkb4CdD9SWe +cx32LzD/OfgK5sxBno7+iwKv8Qb8SfTfo5+NfJDYX5HPIn9TY75tauy9WYz+ +NPqBjK1Edxg6jr9S5D3E2pnvuRz5HSjLWoXMCZhbjv4g+obYN4N/Dv8X4f9D +xg7AL8fnP5j7E/xXZh2jYj3K2BF0LzO2gXhXon8FvoA5afTP4n8y/tdjU4I8 +Dvkp5BfR7y70minWuxT9E/i6DLob/gv01ez1XmzWae8Zu7DYNrL9aUUQjGTf +e5cHwbXQvKzvQkPWOJ31HmgvdCd+hP+cNTdofxsEwRr4EP9V2H6OTT32TTSH ++JsxFqFbn/VZXU58J1jn+tB7pTPT2W1l7Hx0a5DfRP5r1t/eiPnlzJ8Y+678 +DPoU+R1iWEnsKb7nb/DdoLoC3/lKvn838j70B6B98LWx924BPo8jp0PHth/7 +srzvnO7eKvSvsvZFoc9qAPPHYH8IOlzsM9BZdAp9Vm9jPx778Yy9jG4LZzwk +6z3T3v0Hm2q9Pfx3wV8X7GPkJthfgn4tMa0ltknI/Qt9pxoQTxsoy91pwfv9 +GH4T86vKfGe/x74t1AK+JdQHf4uhl+DLoIboliC/DN8YaoE8TwQ/j3im8y3f +4LNXivvLGr3g56Cfg34u+tfQt0duhVwD9cPXI6x/kHtxPTEM5Hcv+n3opvO9 +u2LfAd0FfVNTvmU0vmcTe4jtWHz+hjXeZa390FH8zWSNHzivenwsYe57jNXB +vw3VIb8dm5/D3FexXYN+buJMjLHPRGfzAfF0QHcTa92VDoIVyI+zRmf4dsSw +HLkWOqI8yB1fBl9NTIPQvZ7xHj+Anxp8NsN3c+hX+FsFvQV/CPs0sa9Gno08 +SzkD27HMrcLHLPQF+JsVW1eHr1eI7VbWb4r+LfQzocHwbzAng+1wbO6A75m2 +bmrSd0B34QaoN/xUnQ+276MbDj8an88UeGwacktsmmBbBd1BbJ3wtRvdZOwn +4zOMvM5O9FuxnYL+bGKYi74/VBn5u/X9rfG3i3huh2qRm+NnNue9ijnzko75 +PfgmzF+APB8ay5p98L0MH/PxtR39H5g/gftwGn3byOeuO7KH9VejH4n+66R9 +noAfDm2QLf7XoR+BvDHpsVMZ75H2pj36Q8QT83aW4rNC9QDqofyhN8hav4Qm +FPsNjuP+1bPmYvTXQr3gU6HvmnKUclVzxs5GPge6PfS3f1Lhu6I9UE1TbbsK +vgf78yT21/E+r4Wmo+uJj3vRt+N7A9aeAZ3ifBapZqieKj9j21PvB7kvezcl +Y3/yuy322bzA/K/hF0F/R+4O9VT9CM/4SvhbnkYeoFzB3KX43sZ+FKp2MFap +t0e+yZXYZgTyl6x3Pjad2LuHGvoN6S11Qf9bfO3P+e3MYv1n4bcyVgm/Dn3X +nGusau0L7Nej8BX4zCSco5WrDzL2UZlzlnKXcoZyR1dsHgydY5RruiE/hFzF +HjZIugaqFv4cuTjpmqvaG+F/E/sXYZ+Fj2Pz+kZ961C+b1KJa85n6B5g/r+S +fhN6G8XIO4nnLeSuyl+suZP1d0DfIo/Ou3arRqhWXIN8WdI5U7lziN448sPo +R8kfd+EY5xWQ09qU+y0fz5jXmy6s8B3W3W1d7j3UXspnd3z1xWd1wjlUufS2 +0LlYd053b1TeuTBkzo3MvRP9uQnnIOWiR9EfS/rObUC+C/15Ced85f7eyE0T +zgHKBWuRW5U4x8+Pnfsey/gtKge2RP9MiTGYsFhG+1FmDCYslteeJ86cgXIv +Y/egu4T4Jqm+x75rG9GnVfvx35xzuZJv7839Wpjz3ZGPHPo3mH8z8++E/oT8 +g/IH9ldgfy50H+svIbYR+Ps9+/1a1rVXmEfYZ0bWWECYTdhtIfRJiTGqsOqP +od9ee6gHay/JGnsIcwh7CNMJ26lmH4avyDuXCyMJK6lmq3YLo3bE10rGtmC7 +kvNeDV/D2PMlvnO6e8rpyu2d9b7QDcLfqqTvzGD4QcKjRd7jwfA9837rl/LN +H8EH+OxS7D2drfqS81pf4q818tbId1WYTthOe6y91pvLxMYUwhaK6X74J3PG +csoZT+WM6YXthXmvDo1xhHWEyb+PXBv7VBrbqUaehO/I7xXYhNiP5658iK4E +KlXdKfeY+Al8x1PwLStc+9VgKNfPSbvWKuf3i4w1P0C+GH/fEPOOhN+g3qJy +nHKdxr4Vz/w+KefCZczpGztXhsSzt9I1RbVlObQAvrEwe4H38Jysc75y/xKo +LjLGFtZWTvqFajdji9AthmZFrqGqpXpThcj3QVehuxjqFfkMdBbKSY1UX7Pe +G/UY6jW+I769Cc/R3DriH5NyjROG2hb5rivGkfi6Ev2L7M+9whdQO+SV2IcN +/O5UCzeh35J0TVTtex95adI18BByQYWxyulS9xjqNfQGFhDPdPQDU67hqsmt +s8aWZxFDDXy3nHOLcvo25t4au7aoRqlWVWW91/uwbwr/WM693kzsL1BvEBv7 +rYc+VW1ibBVrrYYWqT+J3Quq51Hvo5qk2qSeZpnyK/76lvpN6G0sjHyWWdZM +q9+JfHYRcirrnkC9gTB9JvQ36FuOod+dNeYX9ldOeR39d1nrOp65y6+Frs23 +Q38ktmrOME4aAwkLXRj521Szx+JrU2Rs/rhyGvz1sWujMJ6wnjCtsK3OfHfs +HkK9hHrQ0cy/MXZtEyYVNp0Zeu0dxFPE2utD720jfDxMrO1iY/UGxJxAro6N +3UqQi5DbxMaepcjFyHV5+6rmnDfDb2D9Bwvc0+yBvy52LhJGFVYdnXWuVo+n +Xm925Ltfib9ydOfFxjoJ5ELkm0P3Cv/v6ZEXRz5bYQhhiRti13JhcmHzocQx +L+1c8G/ottjYShheWF61sqjCtVA1U71Ce8buSbpn+F1obKs3qbe5OuX/JtSv +ZbF/Gn/jE+5JW6jWhe5tNSbdtLTflN6SfOoO6S71Rz8M/f3s0T+TxgTD8sb6 +V6WNhYX5f81YfdI1ZwD8F5H/i9Ceam9PsN6RpHO6crtymHKZMEvTvO+I7opq +xGb4gsi1p4jv/LOwR95vXG97rs5OPVzGmGSOsAqxtE851+mNv8Od/YCx5Un3 +SOolnsa+rNw9hXpa9bZ9WXMo37c77Rys3CubD9M+E52FfAyJbSuMLKz8F/Qd +8Lki6Rx0W+RcJ4wsrLwk5bulO7aeO/0ucg3yDOSNyNuJuSrjN1QDPyH0XisH +KBeswL6tclqZc9pO1hsnvF7kGqJvX5qyL+3BDOQhKb9H+WxKjKfT7jWEIXai +r085FvUoyjnKPcohV+fc22zPGDuox9Eb0VsRJjpf/TMx9ih3j6leU5hC2EJj +z+eN6YTteiLXIp/G16qU75726FziWZ8yltEetEXenDJ21jfWIDeocC8iTD05 +b1/6T0j/DelN620L810Q+7+UNWn3SvpPRXuzI+1eUXv0SM7YWvlbvVgbqLDc +d1R39aacc4fu5Ji8Ma2wrWwm5o2lpqbdywlTdYh8F/UG9Bb0xvXWhRFbxc4x +yjXCmK31X0DkXko9inoV5WDlYvV0g4U98H2UmGvKXaOUQ5RL1HP1QR9UuEap +NrXC5ta866DqoXo/zT2csU4+9B+e/svTf5An0f8PhUrQcg== + "]]}]}, { + EdgeForm[], + GrayLevel[0.6770398671217059], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmnmUVdWVxm/xiqr3ql4VVW+6KthAUIRWEhKqSkELhZrsToKJEtFgEoMx +2omC/NMJxLSItgIWalrDIIMMMmMmSUdFl629OjE4dZsVBo1292pdRhCZTJi0 +6e9X32Z11qq7znnn7rPPPufs4dv71tBpM66c3i9Jks5MkugvuSxNknHZJNlY +SZKTuSR5pi5JvqL2hH5Pq0qSlkKSHFf/49okWaJ2id6/oKdT7wbo3VLxONyc +JNV6N1j9Y8Uk+bAhSSZprDuveeJ1huhbRP9kvdas9++c6C8UfUY8Ltb6z2us +QzSnNH6/xj/S/DF6902NfVU8V9YkyfvVSfIN/X5X41+XPD2iPaOcJOfo3WK1 +JzTnCc3dq/73tc4o8TxXm/wP0c3rnyQLS0nSpLnrkVO08/XuuWrvIS+aiWof +LVvuM+ss+x793qDxVO9/r7lrtdZu9dvV7tWzLXjBcycyaO9fbPb8Vu3rpOTo +1jqj9dwqmUdJ/ilV7o/VnH6iO0/rvC75jqldrKcnaKcHzSbOXuMb1a7TGi9o +3bXIKTm+prF3JNck9W9W/7D636n1+XDm3xfdo6LfqfHbgiey3K0z/ZH2/pbm +bdXYFj17+3n9JSHD3xd85u+Kdqz6y8SvSvoyXP3R6h8pW85FOe9rht5t0rzp +qfkwzl5Z/7uiu179Wq3Xxr7F44epx79U8d4WB/3wjPeA/Nxbrfr3qD1T6w0X +r6VqO9Qe1fO8eB3RvMN69mbc8pu9ParzX6nnn9X/m6zHoTmz4nt7s+zfhzQu +9slu9Y/G3tHvD9Xv1fgE/T5ebf0+FGtVh06gG5dqHxfreUT9DrUT9CzQnGE6 +t5O1th3ePaX15qotVHyur6M/akeI3/uhA+9U3P936eoKybxczy9Fs0Nz3xb9 +i2XP3Ra2UBT9GI0P1fhBzTuQs+ydkuEirVWtcx5U8TkdKFs+ZDmmse3V3uPE +2OuB6I/Pmhd83pEud4p+gORZK11dV+c7+h+Nd2j8MfHcrP2t1/g1+Isa+wjm +sk/22yAZ9pd95pz9Tp3Nx6L7tGi2iHZrnffySY3Hkbsu59/o2RUV68MPJHuT +5Bigc2pUO1J8Hq+zXrH+YyHDCtlvm+zubL0/IHvskKyfxP7Y12zRPC+aqRof +pvZoo3yM+oPz9kOLwxclRdvMZK0/s8r7Z++zQm5krtK7Aj5QtLPF5zrxGYuP +GyDbVH94tem5rztEd12tbbZb/Xv726/17V3zT+GLtK9dknE3+iD519W63yua +pXpezFk2xnbF+G9zHp9QZT1AH55Wu15zeyXL78RnQ9F69BXxXyDa3+SsuxuL +to8pJfPaqfELEstC/74Y2xX9NvEeJ76tars19oaeLj1X6G4e0Lw/ac9fVH+r +1mwT7ydLXpf18ceczSq9W4t+qn9+0XbwmbCFhfWW+fzEfPfkPL8ja/rlGY+x +7hz0r8Y+eQl6K16v6v2Naifr/UP1vrfD4Q+wWeIPsYG4MDbrc7hI7SHNOSyC +E5L3aNH2vkj97cREPbeJz5Csf6O3R7TPheI3rejfBd1ll34PzZoe2qdzpmdu +c8nv39W8eTnrMHY1SbJ8T88c/Z5aa/1AN9DjqdFHrx+u929a4hL9NVpjWb1t +7rh072bxHpq3/j5Sb72bEnLAr12yvqx9X1u0XE/HXh7o73PkDHs1f77mXqp5 +68uWER+wQDRXaPxOtYs03qrx/9b4DMkxM+LUnwr23Tfrbv8av1pvG70/NU2V +1j1P53q43u/76XeL2pl6nys6Ts5L7Tfxn+2pdQhd+jI81b9Qc3vUn63nQ3RJ +7dGC+f2d+ldVLNMpjdVUjA3ACMTjJwN7NMs2h0j28drrKr17TjQr1X5X888n +9qi9qdbxdKh+t+b8m36/evc/o7PKVhyPiEurQp6PCn7/7aD5dmp9vzF1fGF8 +ocb315uemIvO7I8+mGG+1mtRu7psH4uvHVZjOcEo3MGk0Jlza4wHoDssHbhB +tGdpX6/q+Vaz7wDfgI9YpvVvE81NGs9r/B+1xt16VuhOlpQdl4nPE7Kmx59M +VH9HzmPlkvW8qPbpkv0G/gNfQIzHD1dE9yvt8bM11nP20pWxvs+LPrhpQfgf +bI8+eIo9Q4POgVNmhF7Vao16yTs8Na65LrAB9/NBve/lhrzPkHjxPdHtU3+/ +7uJt7edvxXdrxX4Mv3ZBYCrO4HLNLWnvZ2v9ctkxABviPfqBD8GXEPeG5I1T +wErEDeLe9MA8rZJxfmq8d29qDLU4MNth7f0D0UzM+Kx3ZazrnG173AsY7Jy8 +eV+dMwYfU+V2cvTRzWnVtilsdEbednqJ3k/PO959qmwfPazsO+jRu9FqR4pu +RNZntTLvuZfp9yOS9UbxvL1oX0l868OcGY+PyVifBuWNxVakxu3g938qej// +WbKfwcfgr7hr7hl/x773ZYyhDtY7XiM/+2b/+HPiCfqDHk0NH4WvAvcRI8F+ +PeE7btf65+lpEK9n1f5V7J+94wfBHWC2bRF3ia1LJWv/LIBNd6Z+l/qT1N+i +/uXqf0n9FvmEXtnFbXnj8KOBX+/JWhfQk+6i43m16N+XTHsyHh+Xs91yp1+t +WJfQqbOqvW9w46fyxiibAw+CC8mvFuSNScBca8S3Svs6K/X9TI/7BR8NzPsc +iLk9EfuyRevUtRXHVvwMcY38hJh4u2S4WvZe32y8Up01hn+kyj4aX/1Qaj0Z +Hf7/vrxlQp77+xtzgFuIyf3zxhKswVxscJX2MUHyDKp27H0l4zU2580L+c+I +PAz6GyJGE6v7pb4X7occCD7v9XNs3xO4YozolmmNO0VTrX1k9LSKb1fe9jk5 +MB0yg+vgMTH41OlO+4m+Re9W13oceTnb+aH/8+otJ/vFT7Jf/F571utckvUz +Ju88FXuYkrOtEIs7I8d9tWT8/nLJ+XFb8AR3doWci1Lb7w+K5nHNX9g4No8/ +h9/pvBlbuTDvOP+R7vFfm2yH8JoSc8nXPwl/0RVYift9MPV9XVb0/nrjLvAb +9Nn36MBwO9DRrG0JO+L8u0PHiM99cqqd299ysi66dn217/Xh1P3ZRZ8Vto1d +418bwscuJQeK3HOu7nI5PrzougP1h4nisYGaAOed2le15Oyv7g2/ulLtoYJj +8ED1f0quJXz/x9R4Bx3H5okdt8ZaBwLvk9dgT/gKzuFrqbHm19X+RM948Xkv +dXxmXWJ0R2B99J84AP7n3tHVEZGvoff8Hhi+cmb4z2cC+4EDOT/OkXMD69Bf +GroAbsEffliw7eMDrjl9vxn7YVp4EhvwH+BJ1j8v9LyBeD7AugKWPBm6RE5H +joc/HFRDUqU7VjNae+1stu7Uab27NNao9d/V+GXN5tGldmKzdZe9MRd/VlXn +mgV7Z336p99XBf9+0Wd8uvR2fLNx9+dqnMOSJywKHzsqcC76jn/YLxkubfYe +XpL/elC0f262fn8SsRB/kgkMT4w9Fr66L/+vdj52NMZ7QrfBA/hb4mBd5Bfn +pu7XFI0j6gNL3BiY7dNF74F9k/uQA+2MnAv/faLWetUmnvmc82rG6fOuJfJJ +/AZ6yH10Rp5Lfkuu2506V92eWlcYB8Pgs6c0WqcPlYwhjqj9ve75y43WRewJ +uwLP4LeWhO8Cq72Uce3sXtnUGuQs2v9NCB/I3OVhI6+JZ0+j83b8JPTo1T9k +TUseytzVMb40bAO7uDzyOPK5vhw1alxra01PvFgW6yHnrIrze+oT6HNbzrgX +/70pfDj5+8rwzzOij+1SKwIDgTM5sxVBw7sVgX82hY3PDrw0Mugfl179ock4 +i1g9LrAoucih+v/PH2h/rPZanf+bTcZk5LTo7G/Lxm7M7Y61NodfvS/67OOE +znJPk2N+R9FnMa9inN8W+SA5AnnFaX/TGr6OOsSfG41D8YHrIl9gT5tiLc6Y +s+Y8qQOsizsiv4CW839A+31BMvy6v7H8jsCZxA/GwHLkVZ3ityVacBG1V3Is +8m30J5P1O8ZXlLzm/2pPm5mXdb0VXaeWSh21RvLXD3D8o+5ysMF2C9brCLyH +bqKjp/OLCbEW7ydGf1mz/RQ+apfOfbxsZUTZeK0n6/t4RvtrbHJeWiiELM3G ++9T71O3zOd1Z16F2hBycAzy6g8/K0B/0aEnJeI16NjSstzXqf2A5fMsu0byt +87sjdT6Bb2DOF7TgLU3OM0si/BeNfayxWVnjYOZznuAwYjQY7bOBu/CLyPpg ++JCzs/ZXvCNOc1acd2eN94nf4dz7atc5+6ATMe9k+KWfS49ei1jPfbVHvXpD +1ue5PvoXxTv4Q9cRNRVyOeRjHx1Ra0X2/oEjWfdk1DYnl4wXfqX2Kt3bwibj +dXI78r32uIee0LfNYe/YS1/ukHVuiY9FlzlT/Meq8CFP6KxbtY/nUtMyh1zj +rqz9KDVF6hmMU9PAtndGDgKOpcbBWb5Wsg/7ne7n2lgXPuTB8MK+8XvrY91M +6trHxoLtC8xPXk9eQL8n8qN5kaeg2+ApakP8Jn8hBwHD3xN9/AfrdEU9YHfw +rJQs0xPSvd6S564ruG6NPlPDekrjd3LnBeOsS0Kft0cc2ab2SMH58PLUmAxs +dlPqHI+c7rbUdS/uhrsnX5mdNUZgnLoYuXlvYHj0p1u61NXo2hL6DD25B7Tj +gp68BH1BDxbEO/wCdfqO0D2wD7YDFmI9eGEXYO0xgbexlVnBH6wMTrol7r89 +fMhVkuXKRtfG9pVtFxeUfRbEW+ITOBwMTswlB+UMwQg9gW9HR82R2iOxbEjZ +/cHhb9rD1sBlgwMbL0ydA5ILHi47ls+OnI/9gH/4psS+sS/wF7aInYKvB4dd +gymgZ+/YxecCF/2hbHvZrXZt1tifvJZvbPC4peQ4lg5wLJsd98dZdcY5Y68H +yz73D8q2jyFhF82p7ZJ8Gr+eCXt8q9myv1JyreyM+P71Sugz/opvcsSBz6e2 +NeIYOf+u07am51TwgR/1qmFRmxqfGtuD8ZcG7iBOnRM01BM/CJk/VHunaOdk +4532+28Nvvv9zcaz3yiZhvnUraj9EF/BTttFc1WTscHY8G/cx4TAzGD2zvB3 +HVE/o47WGfXbIcHnxYiZ6NLcrOtT0BGLuUswxn+VXAOhFjI8+CDPFtlgXvtM +Ir9BDmwCPtBRQ/kFOtzknKwqMDVntzVqVo9XXKub2ehc6h21P2xyHeVgfL+7 +O+x7eOTlJyMXBP+DNbZEvtCr83u2yb4MTDMsak18o7iywTo9Tf07moyJ8BMt +kXtQb5saNbctEcPwQf0jlqET8L6vwfzHRCwj5p4deSU6vzrrd+QbyEQug/5c +HT4N34bOt0YtsS1qQtw3dW7waUuMtcQ4d8Aa2FhjvW0CPIn/BheB88FE6wIz +0e8NjISO/KbBekK8GjjAtgEWawlstqDieub8imMLMQo7Als92GAsRe5Bvknt +rC5yPmzuW0XHSb6dfhS+Ap9BjoIf4psj9dpDjY4h1xQdN/i2QL1lfcg/SuP7 +RPzHkuuK1KOIO+xpfWA//C5y4nuXxPf6kxXXLTeGbNVh79wXuoGuc1aDo94J +HbVPdI3f4Pz7I27Oj5ohuopeM47PbNA59Da6Hk2eN6PRuRm1C3wX90i7NvrU +jFeGz3kmZEAX8LWbA0/iezcEJqGG/W6jMXpH0BBHtmvdI42ui2Hf0ONv8aUr +A+/h84kl4EByyg8abB/PRSzpUnu4ZN9JLY15j8ZcvruuCD1Hl1dljc3Q39Xh +r/l+eLLRtjRB/eIA12+oIaKv7Jt50KPzxLaLI15PiVyWegH6vDb8/Nr4vr+h +7G8S+NA1ZX/vpK5aKDlPJY8lX+Db1qHIfV+Mb8Qvl42VOceRZd/58tgL35/A +RKWSYwyx5o2y8dZZ8Y27GHX+VO3xkvX0jWaf597AwPjiSyIWg6v7vhdkHYPx +raPU7tYdHWt03RxdJZ9Bn/n/iOMNjjPE5H1xRxnRvpB3LXNPs8eOav31BdtZ +U+p4uS9kgN/I4Enda3ngauIGsQE/jD+eE33yG2IeeP7K1NieGvAXUr+jNoy+ +kGuz9ntae6/6F0g3jkUOTi7eEzzQ4adS+50RqXWbMc75sYIxIf97wrevTVHD +oW4MT/AeNgaO7AlcuTvwJJhmavhGxqGhhsa3FL6PEId+WjS2+FnR2JVvOeTV +1GHAFdwlMbkPCyeOo3w7Is7C8/2QYU7ENGL0tqKxyy/VVukAcgOMyY7H91C+ +i84r+fvTmoLjPpiZdU7F92u+Y/+6wTG7PfzgXSHbufGNhziLP0MG9gXGJybj +x4bFfSEPtMRLYiUxc27ICr+7g2drxGVoqBG2Rp+zot8V/MH04Hnql9Qx58T3 +zEnxTfPtknN6vkOCT+cGRgVfzQpsTJxnXfYNliHnIvcBg9wZWIUcrC3wxvpY +l30xdmFgAL6BE29XBbaibove3lry+XMPfbXYwBifhC1gE78IfUPvjsQ360Px +zeSlyDt2nM6xq2xfYIkfBSa9KPwk75nzzcgvdwT9s/Ft5edq39TTrrt8XO3r +Fdsgtoif7A4fDj58Ndb9Tnw/PVaIPCHqRG9pfKL4/Cy1L1wV/pPY+Epgy+tL +1mf0+scl2zf/W9EddW3kAyMlUVdEXwZG7t0W59qXa+RsR301qILvcb74PVRy +Dri14PsYFHN3xB4Whs/PhA8h/uNfwAsPl/y/Awck2/8Bam7jxQ== + "]], + PolygonBox[CompressedData[" +1:eJwll2lw1tUVxm/2mHdJ8m5/K0VQIYpIdYaQuJQIgQSmVdFoRRStjVoZRcAv +gihl6agEWWxRZBFRNrVCqyCK4AZt7bRF6GCV4hJ1BrSEPUEhpEp/D8+Hkzz3 +nvWe/73nnPec5vFN4/JDCG1QIbQ2F8LPSkOoBH/Pn0QqhBngZey9A+9IIoQG +9hvi8M8I4eEohPNRvLAghOPI7qrgfzKEHvBfLAnhg0wIZ6O/syiE7eBsNoTu +xd47hZ2vsLkbO9NY3wB/K3qT0b8sFkK/shCuxP4L8C7H/yDwhnQI7+JvNXsV ++GtCfxx+JkAB3kBkZhFLLfJ14J+w9xzrKnTmsE6i81tE+xNDGt2v8bmP2PZD +/ZBdwLoTWcTCU+CjxHIM+jFxnQVl2GuAl0I+Cy6HhrIuZ10BHgm9jv509m4E +d6C7iZw8Cr8b+qM585nljkdnrIH3PjkdSLwDWN9MDL/KC2EbMd8CfoWY6+HP +Re518KPE/DxnXQENgf85+2vhr2GdRH8mMo3odoFbwFci8yHrInw/wXo0NBve +HOhW8Cjs1Rf4m9wMHom9j4hvBbmfj0wntq8i5o3gH7G3DJkexJrH+hBJakS+ +IOlvNYm9fymffM8LoF3I/hwfc8lFAzpXgcfCXxT8De8Dv8ZeDXq12PkK/Ax0 +B7FeQg6qsN8L/5srnLs1+BiGzds46z3QCPB1yK8h/uHYbwLvi5xT5XI9uAuZ +/yHbjL2T4L3kYx++n+W8E7mLD0MrwCuhKeBfENOGQt9J3c2Ps75rdfB3gXcQ +xzrO26Jc6/sRXzH5qWF/K/F9js7vCv2GWsEb0dlZbJ8PcJ4DyC9B/i1ku/Dx +34zv3nDOUEZsMXJfBL+u1Da/Bjfi/1bO0JhzjIp1Hjrz0U1lfPd0JyvB9chX +YqMu7jfagM7oEudsL/4fQ2Ya8jOgFawPp/3uFfMRcDt7Y5C9G7oa3T0p+5YN +2SrAfh7UH9sDoGp0noG3GJoG/xTy40v8JvU2X2Q9C1/ToZn4jjJ+OzdxvnXw +r4XuRXYZZ5rE2QLrOOupwDHY/j3yc4u89zK2nkamF7ID4C8Ad0El8GYisxL+ +X8lvYaVj05v6O/x5yLai8w/wIqgKXMPeQvAJ/C0OviOd4Dx83l/iM1zPupn1 +HPjb+T53gJu4W0PIb0vcd0Df6tWk74K+mWJW7Bfjoyf2b4v81vqy9wWyn7DX +Vuyathv8Jj4eQW8p+f+Ss/ZRPvF1KTrD0Y2jU42/CfhbjlzftHlDwC+he0Z5 +OF2sryj1NzlBDvoWOKdT0H8o8lupYu9beBNY34Wvl1iPB/9FxJkGk7c/qTZw +lr3gifi4Bspjbwlvpwj7+eBVukNFzrly30HM7UWuIe3gUWnXLuXsJvAv2ZsN +3ozP2/X9iXcU8faKu2Z1ZP3Wvycnx/Q90OkRXIM7hbPOpd6Q3lIB/muDv2Ep +518PjSr1G9FbyU/52+qOFMO7hbPdyJle5r0t5jz/ht9GwzsEnsx5/pZw7VEN +GoSdw/jYgv5x9I+AD0eusaqt68AD0s6d7shc1g9CB2OuWR3YfiXts6rGlbO+ +IefedAk6P7Cuh7+8xDVctfxTbG9B97y4c/IhMt/kW+Yx+F3E/gkyfyixzNvs +LS11jdpIPvsR41BifQ9/mZTv5uZKn0V3NET+dqrBp9BdxLq6wHdgMTiN/CFy +0IjsUOjZyL1DOV4KPpF0T1cv7wm/O7L/qTBeRU7XIjOQvXfY2woeBtXG3MP6 +E89Y9sdhoyDmHhJPuTfqDDrLcqgPOAavJO0aolqyBOrPen7ku3s78T4Jnpzz +XbkUGw/mXKNUq/LRP4rtYnTKYrYp2w2Re4HelN5We9q9vR17HeBPyd9rwW/y +M/DylGuVaqRqZT65bCVHWzhrNWfuFtnXxZyvN7LDku4Bqv0LobMi98bu+DsA +P8n5ExV+SyP0piL3QvWsq8FT4PVGfy26R+DfHfmsmll+DS5M+ayqEaoVI5Pu +ieqFutOqAaoFyvmFadtKEHNt3DbfyHi2eoMczVI/4yzXY2MlvNXQtqxr4xPI +/BO8QTWAmOqw88fIPVy9XHdyB7bGYHsC+nH8nYOPayP3XtXYEeCWnH3lVNPA +VZG/7QFoUuRcNqL/dJlz2ifr3rpeMxVn/Wnk2U01+YrINmRLPfqjlHuGeofe +fI54tmU8W2rm2APvB3Jwke46OTwFXpQxVk1ZCG7C9z7ifjLmHHzHujPps2hm +rY88a2qGHBz5G+tbt+HjG/S/yLhWa8ZqBX+ccu+6XO8z5x6uXp7A/vnoH894 +llaNPAGenvPdVoxLWe/F92/Idx90jqJzUdq+NJNqNp2Z86ynGU6z3CCMHUx4 +djhdo1mfTHg20xvWTKPZRjV6NvpzMu6N70M7c45RsdYgcy6yy6B6zWOsnwM/ +jq23KnxX1bfXpDxrqAerFw9Ke5bUDKlZUjVNtU0zwAxsr8TGEOxtxd4qcDe+ +dzMxtsf8O+GFrHmamVfrvWXtWzrPg4+lXJtVU1VbWzKeVVqhXeDdFb7Durvn +Esd1Sdck1SLNrEp2WbnfqnriVOS3x51bxXBX2r1cPe1O8J/hz0s4P5rxNau3 +Jz3ra2Z/KvJvm2ZiX6C3gf3RyCyJuSfrTutua2a6hvNXpzxr7mdvonpDylgz +s2bnsZFtne7RkWcCzQaqWb0j1wzVDvWjRtaHsu5FqlEHwZuy/u2i32RvZn2X +B1e6dutOx8s9M2hWUA1Q7ziZdK7UQ4bCO5zwbzfNoLp7e5KuPbqD45Oe6TXL +q2brN59+++k3zSbyfzLj2lmkHg2eGvnbqKfkk8+elf4Nod8Op2fQpHuweq/e +vHK3o9y1Ujk8L+u7qBnhILptWdcC9bT94Asi9171bPXu/wMMbfss + "]], + + PolygonBox[{{6082, 4286, 3468, 1418, 5891}, {6065, 2829, + 2828, 3697, 6111}, {5892, 1062, 3410, 4236, 6069}, {5904, + 1478, 3472, 4292, 6084}, {6070, 4238, 3411, 1063, + 5905}}]}]}, { + EdgeForm[], + GrayLevel[0.7681258577149219], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmXm01VUVx3/vvfvGe999797fvfenOBCoKIPS4FqlMpWFFIloSmmiK5Qe +uJZR2sowRQxeCWi5YDkx+MRVGhgKiJnaZDgGBMjQMwdMhgIxNTWxAft+/G5W +f/zu2ff89tlnn332/Os3ado536hPkuRX+mnQuEo/K/VcXpck29IkKQp+t5Ik +tzcmSYfggcJpqSXJYc3CLydJv5xxOjU/PUuSYwW/UzbunnrjbxO8Ov5v1dhf +z98EZxpntyZJTeNmPX317NZ8/5zpdup5RHy8GryN0fiC9h2iucEab2Sd5j4m ++P2mJHlF8EmC9wvuDdw/B/6sfJI81ub/R9b7/UOi2aE9NsW+DTnzNVD4zRqf +1bNEOJdq/JKez2n+sJYkuVjwpYIX1/kd8+tEf0+b/5+rZ7KeOzW/W3ODcl7f +qLN2axwkmoc3W4b8r9T7HD/T/FTNHRT/X2BvwTsEPyP4E6LRIz4/L3if4FP0 +XCj4Qe17tOYnCh4q+hdpvET7/rhiPpfrLgbnzNPixPux7x/hTWuX5L12SZ33 +AWe46O2s950yvhrwRp19U4vpbw54keZ/qn3n1lluI0RvtvZb0eDzQxeaX6/3 +XXKPqwuWHXL7k2hsbzHunDrTOUo48/OWQT89DwveJTk+I7yNZfN0lHTwNOnb +SXo3TGOPnut0rkmaX1lnXqHfId6KegZozQK9v7XBNDn3ItE8VvAR6F7cy6Oa +u6DVutMrGqvqfMYRrdbHLuGdmfmc4zLvtT3kgDyQy7WaO0vvRgpnfGa+z9C6 +wZr/np4H9JyhZ4HkMF5Pu+hObrV+o6vHoPsNlsfNgofnvGZQyJU9T4/3N3DW +gJHbuaF3yBz+kW+P/ndp7WnCOzXuBZ6XhJxWxhlXxb0CbxA8W7ROSKwrs8KW +M8ml1uz/2Bt2hz29WTX8hsb7dKa79JwYsm9vtb08lLf9ZHquF94w8ZJLrbeb +Qm6Py8/8S3S6Gn1Xt+iZoPlpVZ/t3rL9RSXsBbtaGbp0f4N1mHO90mT7xY7h +FZ4504qybfNbordIPC7Uc02d9zsyfMIS3dmlmr9T48I23xn3NaBs+1ys+fcF +v6vzzMjsV4bo+YZwlrV6HFRn/cWW0bf93HGzfRwyQS/hv5jz/e8Mn3he2NEX +a8Z/U/vs1rtd4Tc/FboAT2vzvi/u7Z2q93pbY494earFtK4UfxuE922N71Zt +Bz+Sb9jckSRji7aBxXn7EmiOqbM8Rut5ss13xf/68PO78G+ChzbYL+wp24+P +Fb+PNVnW6EtZOKWcdfPRJusS8u+qOjbs1Lqmmu+lXvBdbZbThPBDzeGL7mm1 +f+E8H0PeOfv97aG33PXWNvswbPlm3eNbuf/7m67wXaNEY6SetxvNZxY6jB/B +n2wq2y8NafVd/6AhfLXgByW78e1JsjezTx0Q/n9+g8+OPq7WuzOE80bmWNcd +ckAXJoQ+zBD9Y8KH/yT2RybXCr6m2T5ia6PjEPb/juApgu8NWXMezoKs2fcK +ybJXfE8S3UXa97Umx0ViyV7J5KSIBweaHBeJeZzr8Ig728M/YO+7iAUN1gPs +b0qjbWJ73jEdXW7VPkvbrKsvNttH4rOI4bMijn868z19RuNpraaPv8G/3VMw +/uGae7/Nsry8YL+Ank3N29c/E34U/cYnLBete4X3u9S4vwg/gv2Bg/5z1jV5 ++5wdwh+tu1iVGZf9wN8vnZ9atGy6NP90i/XqsqLfMb+4YNwP43vBPgLeTpbg +P9tuvv8iumcLXoPM2ywLztUtnLOK1mVsbn3evndh2Bj2RQzfmrcOEOO2RZzj +/c6wQ9bzDnuYmDlnujBznN8T8Ro7GCp4HjIvOL8ht7kqc05wcujF3pAhZzo8 +cpeJEf+wF2znwaA5Iuc8hhyG2LE+ZIt/hg66xLgv4O9qrzu1/wCN38k8/7z2 +HScZnFm0H3q9av37u8YTSjpb0fec1/ic+DtFOP+oWNff1jhQOM+3OwajL/eG +zmys2Db+JN0/RXLu0foponNj2TFjoeZ7dIf1Rfviaua7Wos8CrZtYgRx6b6w +803CHyP8O4TXUzDeIZw1hf/PrQn81fEf+LK86aBv5DK8w2+8Jt5+3W6d+IJo +f77o+39a41NF62+Xxss6ndN8V+MLRd89tvvRvP3bA5LDlqLt7+cax3X6jvEb +17Y4Fq8QzitF68Q+vT+x3fnLbY3GuU33+bLeT+90rvdz4b9YtK2/LHnuEt4O +jQf1/ol268d6ybNX831q5nFK0Xy+WHVe/YLGqZp/smh7WyJ4ktZeRnwT/SMl +03GSxTc1/1zR+r1S85uL1nv2nJpzXCd3+7iemwSPyKzPwzUe1PhB2M68zPCx +sv3lknVTq3Ok4dpjWMgfPoYHjM7mCtZb4te4sF/0CTvBRj4QP0frLNWq8Xsj +R0LWhYL9HbkZ/ho7hcblQScpmD9yCOJ2S8H+cJbGYsE2+uPMPHwytaxLBftW +ZNRRsA/AHhcHTfx1e+QDyGhi7ItOo9trK35fDBz8/OaoG8jnmqNOmR/5KXGC +3Ix85veJ6y5iETqDThBzyOveLvus1G0HomY6MuJbMXI2/Ot5BfuQ2zPDt2Xm +cXzwyXh25LH40HMK9sfEhN7gkzyLM5BXMIcuMY9/RQ7shSwWRT5GXtoT9oid +YW/YXU/4bvz2p1PnJd011xyj8s4ByRnw7eTb0/L2N/w/JzPO2Zn/PxM4c/T/ +P5q/ITPtKYH/Rf0fLnhs5rlpMU9exf7kaX8v+857xMNbZcf3MwU3i7cRgu+u +OW+HDrn7oNS6sKzmeuTkvPNcbAIeiM/EzYOh/+jO7NAf5LcwZLUwYhPwmsi3 +kQ/j0rAF7gD4ksjpWDM6/FtPzC+NtcDo8K2hxzP1XK/nyznbHLUr9RE2sSDu +enzA6AA8drOGe8jsx0ZmrquaYi2yYf20Ou/DfhfnbHMzw+66o04mX5oauQAy +byS+6O4fzuwHlgVP5ajfyUvpIQBTB82Juoj6aB1+odV5FHUc/5m/MGLrqNS0 +lsW+0NgYdMhfeiNH6ht9Cub/VXPs/HfoHnpHLro+6LMP+emKmKcWpJ6/P85I +johMNgVN+g8f1NwvSDLbLDjY7byc+aQ+OFRj4AMvTR2zJ6eW0T2RJ69tc8wh +HpGvYTPoLLLEl5NnDpXP/nbJst+lfVchI/mZV/Tsls95RHNP6P2AduvgssjB +yMX6yscf3eH7R+fuiL3ga3nwtrrkPaD/eORJTZl1YXnc3S/xO5qvZM5z18Ud +bWk0P+TAp8qmRund2eKnPnOPpS5zLr8+5ExttSp6Vqwhf8Y26WPRTxgcuTc6 +i+7R88FvoDPY6O6orf5Z8Tx+ZVfMg9+nwT0s7oR5/D3ypB7qF3TG1ZwLkRPN +qLrWvq5q34yPppaZXnXddHXV+Tww/RDWHRN7ER+IAcSI68MukCH3Tl5DLUGt +wNk4V/+oDeEHH9wS5yxF/ww9Xx38o2/Uxae2uTa+tera7DaNT7Q5FxtzqGbK +udZgn1Wh83NDpkdF3boreEZmyPRQ764UMoGPYsgc3GLUueh8R+AAl6NO/IFk +mAr+TOr/peCfsRz43G0afbq17c5dyFteKjq/Id6iU8QhclR4pn5EVsMijuAb +x6Tui52nPccXnbvfFWvwm/hDehJDA34Ufe6wfyO+kXOcFHkxOMTHkaGPh+Q3 +IvzM81XH7D9XvT/2MiTyW+oifCR16chYuzTiJ3z+UHztLfpe8UXEBuICdnlF +yba5PmpbbAf757zo/xU643niY2rVtRnxmJh7vNbeX7KfX1e1Tqyvum6e1+r8 +YVPReRu6SH3X3ereyA7NHSe8i6Tnjwge3OEYQUyfFThbi85fyaeOK7t3eQT+ +W/M3dLqO3Fr2uhMyr5sda08Qbx90um4jD2Vfat29Osvrwt+ncWDqe/gc/T/q +vJLtpi11jvW3iv3M5PBF5GrIjToUHScvJB7e3eY7x6YGi8bxJeeIS4uuVYg/ +6OvS8J9Plyw75HZJu3Nf9vtW6p5IPrON3h00OyWbWsl6R467JfqN+8uOe33w +Y6n9+w3Sw6+k7u+cn9pP7wtf/Ymye75nUNPUTOdAzXUa/pAe2I6i6wFqgcWd +lgsy6W13TUX+S30wqOQa4UTx9v2S+UCvZ5cs0zVR45AfoFOjQq8ONBpGT7nz +mSXfHz0AaJNXz0jdZ5wlXRorng+S02huYrv3Y69Rgvd3Oh6w5rHom/2m3bUT +dRMPPEIb33la+E9ktyh8FDa0NuIOc0/E/O1V93fuqNoO7jlk+9H7JE9+r9E+ +BF+CLo8I/z8nZ/lTp381dY/9Ao0DUvd6zk1dn58SOH1r9nnP6azbKrY1bG5n +9Mjw8cdl3gO7IYYDsxf9W/q85Cn4fmyEPOqvFcPYzZdE6zC9m6lxgvYaAo7g +/1Ttu/Bh9NLYl9iEHpBrkndcnfl+sDPkBz4y/F7VvKGzl6TuLU9KfbfcMXd9 +Yur4s0e8NKReT0w7UDHOe1GLvxe9qh/WDG8pO0elNiHPnB457tUap0Tfj/5f +Y+pvDOtE52W926A1L9Xc14Qf6um5Oec2wNg9MZ74TiwCJhcjfpIbEEMv0Pqr +tNf5Gr+mZ4bgDu2zuew74q6QU5+I4x/ma83uNWKb6NaY8A/XRB/0+Mz23Ra6 +MCfu/ZbI18kVZ1at8+j+canrwxsz1/D0aJDDmMy2hd/ijJwJvZ0T+Qq+mnvG +R1PfnZ5aP4mH2OHG+OZC7faT6GOjz+yLTs+KfiL13czQmb/q3KMz2xz+htxq +SsRTZDw3ZIsNfphb6BnbYvueHzF2XsTZmzPD+KrJUYMTs4gV4BIvsBu+VXA+ +dOT2ZusSPgC+qTd/m3rdVRXXN/jkydF3wpfBT3fEAnw+PQzOxfoFZdel9LDJ +qcm5yaupi/CN2OVLor9A/1/U+M34XsB3A3h5J3T7O1V/79lece+Mu+eur6za +xgeE/ObHffy3bD0jd+uOWoyYS98CP3xT1HLwMThqvjsjL6J/R21HLED2p0c9 +Qk0IXlPqHgg05oW+MI4OfPT59NA16sJBkZNsjHqE/HRE7EU/45jY4+ia7Qs7 +4zsG/V7WU2vuju8q00NWyAy/Mix8I3lin8gVeX9Y6CR54uA29/G3Voyzr+zx +iMBHV/pHLkoNjF/7R9nfOhYEnbmh9wPDlvtGPjkh7GpQ5NXwT/6Jjm0IPcMf +4ZeGiOdXU+/LfVJ7U4O/rr0+UjPNN8qO03vi+yj5WL/IafFPN4acyS37R678 +Zuoc6A2NV1bcA79JdBZX3FNbVIm+WmP0Uhr9XRyYegnZ5uKbeP/IV9F1dP5H +ZZ8B+yLHo9blWxK9X/J5vgHg3/5Q9TffZ6uO/bwjfnWm/r7Jd0768vBGbwf/ +BT51xvfjmxrf1sjTrwma1wV96DHOiHn0AJ5vCf3DDpDJoppzL3qB/y3ZL6yo +ec+1sS/v6U2Rs71a9p1tC53ivrFVbLk3cF4LXUF3qO2IH50RA7cETO+pK+h/ +tmbZron+blfQ4bvOW+FzDjbav+Bb6AtDc5Po/7Fimhs0/g/gNEOu + "]], + PolygonBox[CompressedData[" +1:eJwtl3lwleUVxt/k3gSSe/mS3CUfKIM6LO0QqrUybakEEJhCQSMgdqEF21SG +hA7FikuhY11AQUPVgSpBdp0pSsUZlC7CWOsEa1tAgUQHalgqm4SdgAaLpL9n +Hv44c8/5zvqe97znnHtd7cwJvywMIZwCksC9FSEMLwvh8XQIFcDpTAjXJEKY +2iWEWytD6CwPoalbCD26hvDnVAityK4CBpSGsBnoj/5u+JNKQtgE/a98CPuL +Q1iB/gV423MhNBeF0Btne6G/ArwahTAXW7fgL4Yux95g8GpgDj4Xo3sdQZ7D +1vvE04R+HTALWwno7vB7ACXIPoj+NeiPQ3ey7PGtCt5xYtiDfndge0EIlXwr +htcFiME3w2+E1wP6eugO6JN525Ttu7G1Ig6hFvph6FHEsxrfPRRTgWPoCm8N +30bDW4v8K8gXZuxLPuTrY+RPFNuHfP0PaCFPfdBpBA/oHIa+A3op9BzyvY/8 +HCY/k/l2Av2e/F7Exhnw03njN2KvJ/L3cf5bOP+j+E8DSfwfJlcD0R+J7d3I +5wodQyv4omwIzyUsc4B8nsr77D2v+Mqh00E8U6BfwVYx9PFSn1Fn1Z3obi6j +cx78LPAF+DvYWwh/PTGNpVYWcd+vgrfnLVtPvP3gn8m4tk7A/5RYhgNZ8M/R +n4/8AqAh6W8j4O3nbGPIxwvE0FTqO9BdtIEXxc6ZcncEuhC6IDa+lfMPQrYD +fjP0N6BHwJsC9MV2CzmYDH41cBN0b+izyC+PHWsf6HboucQ/Df5g6MfAJxLT +IvDuwB3go5Bvg78Cun/Wd6q7lc+L4E/rPUFfDf8T+L04z3TubHzaNXuab2fR +f5bz/z7nt7gJ/qNJv8kDkWtCtXCEM7Qjcx7ZRmI8C34v/rfxfTswC/wC3yJ8 +FaL/GfgO/B9Et5pvvYinFn/V8ge042cd/LtUX8SbR38/OoeKXCOqlR/pjeGr +Dvmu0Nvgbyjxm34ffB7fGkp8hjNZ37nufjvf9oHvrTQuGcluI4cHqIcu+Pwn ++KfYmI78Kvx9DX4rsBi8H/zFxPYt6GTaZ9RZh/BtQ4G/PQP9GWf4TqltbsXe +f6GroDdBPw/dhv5J7M9A537wHN9GJHymSZX+Jt5voX8GXZY1/hDwU+gledtS +D1EvWZp371APUC94DX/7I99NREx5vvUqtg/50h3prjrIV0fOPVG9cSjytxN/ +Mf6GJFyTfWO/5TeR+UHSb3oG35qQvQBc5OwPY/PmhGvyEfBhWdey3syzyJ7L +uJZXAjXE30psWyrc2w9ho7fOh+yN6r+qdfiz4E+Af6zUb1JvUzk7Br6DmFuK +fOeHsJfM+i0MgP996BLo+qRrZl/OOVPu1DPL4Z3Hdv+ke1wnvMegx3DG5/F3 +15WZoNmgnHVW+G3Mp967pv1GjhHfE9AHE/7WgM0lyF8GxnLWnthqQGcGvJq0 +bb9X4buQj2rkn0R2EPBj8Ps58zHOXgtvN/rN2H+9wr3zI77vUv8s9Ay8Vr0f +nVXcdSe8BnTXwp8Ivwp7l/J+E3obepPnOP9J+L3QfQP5B5G/lHWsl+F3wh+Q +da2r5xzN+Q3qLX4b+KHeW9a4Ylbsk7KOXT3mJmy/G3lmalZuxEcb367C3p3w +P1Q/IKY44R41C/zpnN+S3vgz4HuY1VUVnr2a2VNVf+g+BQwBP4i9MnQbiXck +5z+aca/Tm5wNfw42bwCfiPxv8taRrnrKz8Frsb+c+ypL+12/Bd1W7t2glZp4 +ipxcJu4Avy/yUzjP1Arf3bvI7Iw80zXLW5Brynm27AaWaXZq1iOzGtkXgb/E +ngVD5Qd8PvAE8V1C90nwXWn7kO1BwC+IZRr0IekiMzryjNFsWaoZEtmHbGvH +GQt9AHoL+DJgMvo7y4yvQL+m3DuRdiHtNEfxdw/fPgRfBFSqP0FPT3nHWQDe +jPwa5Eug66IrsZc6plZiHtbNM/cd8JeBP6Q9Q97W243dC9QD1Qvvi937VaOq +1X3QJ8s8w/8KvjHju1wCLCeXy3LG9Yb0lrbga2C5+792vNuIZyUwTTZLjQ+C +X5fyt13QM6HHFPqMfbJ+G7pT3e3Huj/4P4F/UHFy/h2R71I1sQe6vcg7wpfg +Q5FdA78e/kzgBPTfurlWlAO97ffg/ynlN67c1USOTTn8POfeKpuy3ZzxLqGe +9UHOsbZEftuKWXeZilwLulPlanrk3qecqde0Rb4b9RydZW/k3qkzfQ/8HLzl +Ke8kt0e+c921anJ15BpTbelMqyKfUWdTDmeXu4ZUO9rx1Hvry/2W1YNVKzvK +XIuqmd9lvPtqx9Ku9Q/sfbWbd3HlRLH8uty5VkyDuYPr1auIfS3vZXjsXr8Q ++mXocbFnz2vQf4Ruin33I7F5CnwJcGfaM0ezZyMwHt5z+NgM/vesd13VpGrz +AeiHCqzTCP0rYpxa6B55D/jWnHcP7SSfcJYazXBsr4deh//6vHuXek4d+FWV +fuvqYUfU22LPibnYfxG8Kutdax70S9B7kGlLuaert2vn0+6nnnY3sv1iz0LN +2C6aRxnvdo+gvxreRznvZuqhxzPeebX7yuYD8BfE7iWacZp1G6C/Sz5Wko+3 +wAdm3Ou1039B7G/ybTG8Uci8Dv54pXcxzZSdyI6HHpZ0D/0S+pvYnJd0Tm5D +/j95/3fRzq7d/W2+rcPeOOy9Ab4s9uxSzpX7hbF7qXK+HnsrY/93UQ9UL1SO +lCvtk6Nj51C51Iw6lXEOlAvtG3PAU7F7u3bGDzL+D6H/EvpPNrvSO7R2adXY +zbFrTLV2g3KuWlH/SvlMOttY6OqUdwDtAqo51Z5kJsSuAdWCZG6NXaOq1a9D +D1MtVnrWaudJaHeN7Us7jHaZobFl9Z9P//20U2q31H/Qf4P/H77qJ4g= + "]], + + PolygonBox[{{6077, 4254, 3427, 1130, 5927}, {6075, 4245, + 3421, 1119, 5958}, {5957, 1153, 4484, 4266, 6079}, {5928, + 1111, 4480, 4243, 6073}}]}]}, { + EdgeForm[], + GrayLevel[0.8592118483081381], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmHlw1dUVx38h+0telvfy8hSoDQqRMrWtC3U6UDt2qpalIoJVoKWgwpQB +u8hSWy2hddAqGAguuBswSHCmQl2SoBbELDLTsVVbO0ItCigGWxZrXVCBfj9+ +j2P/uO+e333nnnvuued8z7l3yOU/vfgnA5Ik+YJ+CtUfzSTJvNIkmVifJCvV +r1C7uCBJdhclyfNq40W3lPo/xlcEPUGTdxX6+0L112j+KtHDs/5/VfDcXZIk +zaLHam6N/pussRniHa92pcYPaf0pFUnytOin1JaLf6r6a6Xfd+pN7xXP2aXm +nyQ5Z6lfoHaD6K+qv0LtLs37vvjniy7SOg31nvOS5h7PSUd4RZ+psTPUlur7 +Eq17WypJRur7pHrLfSF4zgr5Q8v9Df2A+q+rDYMuN83cxqDR7fFCy6+WbbtE +v1Jkux2TDt9Tvytn3rOD/xN9l4ler3U/En2yxk4RvVJz0xofo+87SszzqOjD +KeuD/htKvN/HRB8V/5xirSn60ZokOViVJLnKJHk7rzPSd6f6qWnJFX2RdPqv +/msRfX+FzxFd0XO42jy1RrXe2iR5Q3wValM0d4Q2NUFz90r2dZrbr7mdZUnS +oXaj+N/U2Ai1mZyn1jtP/aXqm4q8nxVqU4vsA//R+XZr3jC1tZq7Xfv6ttpi +0Qdkz26108S3X61fra3Q62DvU8XziHibNTZLdFp0pVqP5twpm8zWWIfsf5Po +36mtL/CcuQU+l378Q3MPZ3xWnNnS8G18Fn/eLHkjUrbFIK07sMzzH5RN9mj/ +b2lv/9R5HZT83er/mvVZ/039VdrzlyVjdd5+/c4Az8VPhpV7D4MkZ7RsNU9y +zq2wb+FX92nNUZXm+yBn3UdLz/fr1HS+76nvKjMN/3F9Xyf5n2TNy34HJbEn +0UMK3N8QNPvgGzvs0Zx90rlZ8r8hukNzJqofrdYn+ofqOwstE7+sk17bxf+c +2pGc5Z2csT74wU6ND82YF1+eqT1UaHzHAMu4KeQ8WeY4J8Z3aY29mvea+nGa +26f/l4negN9oj2syXnNusdddWedYJqZXiF6m8Wb1yzPGtHc0ntPc5Rp/WGMX +yp7bS813S4nXxbfplwVNfN1e4ljD/xkfLPscktzDmne69DlUbPqiAuuB3SaL +7kwZt/Cv+1P+j3H2XRl7JzbwXXiwUWfECzpgC9YbqfElai2yd2u5eThfaLCG ++Q+qb4yYwScHq00UT1JhGj/j/1PLHDslFaYniGdzmdfC5ow1xjixh7wNifeB +v+KrfbFWk+h76r2X7jrriizsgw92xbkz74/h6y0VphnrkR7vljoe2+U/J1b6 +XPHBgaE/8bal1LYn/rZGThkre44t9zf2RA5njG26wj6sNyhi80ihdWOPA8NG +yK+RPs9EbOMH+AO57bWIX+KYfPJisXF+jLBuSI3n/UF0Q43nP1HouMLv3x3g +GB8n+q2IfTCAXETOIx89Fbbk3MldYA6Y35Q1Ji6Qn54jHz1f9GLRt2GbSmPs +vXXex+P6f0excQi/Aq8/xW/915ox7+X13jv8xM98zd0t+s/6f0PG/HV5n//m +8LeGwGD06Ut5P+yF/DAt7TlZYVRBlXHwMs0/HzvmjdFgLDn9S/qu1viT6tvz +jtVntL9nJOeWtOPwBMlZWeU8f7zEZ4D9X8l4Hws1b1qR7YkeH6U8Dr1Lcjam +7U+zc8aQWeqvzBnTrlA/SvIXS/4oyV8rYKuuci7BFmAjeIhdb4tcNlr8/Wnn +mTGiPxSdF/84rbVBcxdLzk5iV61dayQae1rzhotnsHhW6XuqeE7U3BfT9tG0 +xl4WzzniWaT/Nqp/VuNfFP/eSvsyuIZO98T54MvdEr9VPO9VGqvulswP8IGU +sRd+9Ce/k9vhX5h1Hn1b/STxH8Vfxb9HcuZW2X747Ka0/XZR1va9J+/4aw8c +HxwxQgyB1TPKHWN7Nbcr7TgBm8EIapc1gRdgxYESfz9MLSn+76btB9dr/WJ9 +XyD6WcneVmZsnaLxy6qct9tjbqvauqCReVBnd5V4Pk55/nMp+0lj4BlY9G5g +Cra7VGt+s9Z1xv60z5Uz/XWVfQJ/qE+5dsBfsevYWtv2g7TPnnN/U+Nzam0b +fApsAjeofdpq7TPUPk21jrc1eWPuiepvlpyvVRvTDmjdtbXOk9RG5HJibJro +rpQxbneVawjqhx9FziX3Hkv7LDlHajHOnlxJPlgcsXax/p8u2z5QYXzuLTd2 +j9P4eI03aXy95J9XYx+khsIHsdslkdPJ7eDYbzTGPeCUcuci6oH3pcNkyVqi +uYvqXE8uwFcjR5Ort+SNiyPyro2ZTw1FDBOzOxTTa2S/VrW2AuMrvtIh+qES +nzd17GgtuFprXVNprKRuI1eCTcOj/iSvoBuYnBNvdbVroy2VxiZwiZw5PfLm +OVE/cmfB56gNx0R+QSY56yXJGC8b3YtviT63yncAYnRgreN0Utb5eHLWMT8v +6oIbA8ux1a2ad1KNz/ZYoeMTv3whbVwAE66WTTZq7GzJeSRtLAPHDmp8m+ju +vOuafVFTUR83R07Bp5bW2q/2SLfXapxX51U5zonxzrRjlThtThtzwdu1EavE +LP747yr7ZEuVsRgcBm/eqDHmzApc/VD9ulrHA7GAv/QWuuahDj8U9c/cqCOx +wzvFHl9X6HsNtcpn96PWoKldHoi6d3bWvjdd/ccZ1ygNed9phoYvkd9bo+bp +jroHP6cGmBkYRa4gb2Kr4rzjknzYGPzUNivy5iHHUk9Tf5Pv8FnWwq/a1PdE +LQTeg/vcp3qUU3tFvy49Z9Ybb8HdG2M+c9EVGjssyjtnkm/BPLDv0agtnw0M +ZJ3eWGt/3EG4i4CHrA2Wog/6s29irjvuR9z1dkY+AleGxV7wF3wZOxD/xD0x +vynlPAb+vZjx/WJpvfPW3ArXJvgo9w9wCX+itiCGwcSmkIOvtMT9vCHlcwZP +f5xzPT0nZ//jzgdWgy0dgS+svyR0IM65b6P3/IgL4gPfwbeQS/7hfMEBzphv +6satoeuWuH83hi+BGTOCn3PeGLEDxmwL+6PLE1Gzga1gJ/sgP5OLZsX9iLqu +Ou5N8IONrTEOvTiwGGxpiHss2H5n1C7kWGSPCvnsuSFyD3bkfgoOb4r/yEfg +cz7qhN9nfN9fnrfNhgTfD7KOuTlZxwCYT67sCZnoz1hPjJPbkInsT32u/PM7 +cm/kgiGpz3VERjp0uzXjd59XtdYZWcf2YeH/XzJ+d6iQbnsyrpP/pPHf6uwf +1hrX5yw7HXfwrVnXF9SD29Q2C2dezfveT97DbvsyfrsZKJ88Nes3pl+I/pfG +/yH5f+eeqzmrNHdX3vdAsLAk3hUOxPsA6/bFvsiblUXOneOyrpcW1hkTwTnq +ziEZ+wL3V2oj8B7/4ny/HeeC7AlhQ2K2LeKR2OCsqUsr49xmhV9Mj7cyYrct +8OeXWY+/FbjUFzhGXUOugh98PRa5g3xLHuF+2xM5hXqP/EOuo/5nz92xX97V +yFNj4+7D3slx7P9I1I7r4g0FP6QGIZ8Nj/sgPPD3Bw9+djT0QQdijNxIzmuK +2vmztxswaFLceXlnIn+BT+DUY6Hv/aEztVpP7GV/xrUTNRT6doUOQ/RdqvFP +Mr5LdUX9A8+RqIduj7jGz/E71qKG5G2B/6mTudsi57R4Z0Tfap3DsniH4u5F +DqZWpe4Fj8ClkYFvxC82o2ahdiGH8qbAHm6RbidIznHx9WecYw8Ez8/Es1r0 +z3O+F/OmQ+7rKfscy8HdKYG9rHN+rAUOnVlhLAdHLwgs7Qj55AVqddadGLm9 +PcbBKOot3q+IS2omctMVcT9amHN9xZ0UP1mQs4zTM67H1ocNqUHuK/F5gUOr +4z0EPODO9nzUWXvCz1/PWb9vZXwO7SFnSc4ym3KuHfHpljpjc1PUOPNz1ufq +nDH8rtCNswW7NwQOt8a+2N/aoHmrXhO15bU5j/8qZyy5K2pIZDwU+lxdappc +MCPeB8kpayJPtMZd9s7QAbmsC+Z/JeOz5e2WO/LHcU/GBrvDDuT2O0I+ebgv +cjFxtjlqx/6oozriTXhX+Hxh1vpdUu/YAhvxV2z9XOADOLE96tojGdc9vC/e +nPeb6tCs36Cmhl+NjFqYvWBreMZEnbAi6I1Bo+fLOpudOqO3M/bBe//vXbU5 ++PELMBnfoF6YFjUD9phRYZsciz2CG7xXIJMaHmzdEu854O3WeIcZlrVu7APc +3RTYi9/dEb6HvP7ApbagsWFd1KfkGPCpMzCK91tsyzs22Lwx8uPsmM/cA1n/ +vy/rXHV7+FtvYHBH4O2O0J/9fRTnjg12hB1Y58I4R+b2xd7Za1dg7P8AKAx/ +YA== + "]], + PolygonBox[CompressedData[" +1:eJwtlnuQzmUUx5+1uzb77v723d+7777urFCMolRmomY0KSKLSFFKNZVJF7dF +ZFWjmXJdmjQUMbQxE6lGaoQZucxUE01y6cKucsm9ccml9Pn6+uPMnPOc6+88 +5znfX9kTL/Z7oU4IYRWUA01OQTC3Qg/A/54O4f6sEI7XDWEv/M44hFM4FCVC +aJMJ4VXOlqFbDr0G3z9l3xl5IbSGry0KYTF0V34IW6FJnH1AvGrsJ2NfTbxr +sH0H+UXkhcSsLCBOdghJbH9TDOINgcbDV5SGMAv7Kug65A74lxNv0zUhfINu +X+oqD21E/gv9ntwQdkM/lYQwEn3rLJ/tQF5Ovo/IV4m8DP4MNVymlhryzcF3 +GmeF5JpFPa3w7Q59muWaL2H7BDnKc1yzar8J/UlinYCOE/8CMW7AN49+laH/ +C/0g7Jtzdhh+GNQn66oP9pdi215H/YuIfYazs+j24LMD285Jvj0K4WFsnoMO +xu6N7kx3d55e/wi9R687ou9JjCeptT10ANsdBb4T3cWd0MnYtTyFvhe2Y8i3 +hnqGkbMCvmFxCNsKQ7ivHoR9Lvlr8N8Cfy/xe1FLJ/Sb851TNav2uuguEnsu +39yO+IOp7134SdA9OT47j/4XYq2jprb4fgldzzfMzvMd6643yJ5YD5HjKHzL +lO+ikhhTkb8jxm7msYCc87HfWGI+Ac1D7k/9/+FbRuzJxLkJ+75832Xk+vhf +i9wC+U3u/GnuMyJ+ebZrGId/Cf5dqHEcNbZSD5DPES+Dfzn0B/34Ankr9r2R +i1KeXd3x0FL35jj+F/PdI70JvY155BuV9oxoVk5BN6PrRryd2K/EtoJ6s+hv +Y2IsyHePxmL/HLZbib9esZCn5npmNbst+J4yvucN5KeQi/Bvg/8n+X6Dn6Of +QL8GUcPd1Hci9t13gpoj74+tm4b/M/h/S/ztxB/NWS756lPf99T3NrEGUN9E +5EbEfx/5UMI2sr0Faqp49Hgg+m7o1ur+I9+l7rQztI+zHshJ+HXwQ4j3SmTd +Qmi53mCuv3EmteQQf1Sed452z9oCz9CV2YG64tuOeF/ku8Ye2H+WZZ8Hqacp +8fdgvwbdYM1V5Dejt7KCs8q0d9OH0CT4f4nVr9i1aIYqOHsf3QH6X0vsJsTs +SOyT6H6g1mbItyEvhLYj/0zNv+TaR76fEK9Z0m9pAzazI79pveVB0BJy1XB2 +ED7Btz2v+0P/eMIzNDrj2V/JjI2Cr0U/Af3fdezTl5pWZ3sGymLfoe5yOvRs +2rPQE/tJCc+EdqJ2o2o8EntnanfuJ0dNyjtHu0czUIt+AfrG6AP+h5FHEHNu +Xe/Ij/UWodPU0gefCupbRn1nC/32lHMWci3fVZW4usOQTyMvgL9APZ1S/jbt +iJkZY4KwQTlegp9PvZuzPMPvwe9NuVZh1I3kHpP27OuNj057B2gXNMF+mnZd +xrtJmCHsGJZ2b4QJwoZ/0t4F1cjn4GvSxr7VyPvgT5b4rS6lxg7Yv5429gnT +hG0NMu6NMFJY2Tbj2dZO0W4ZmPFbECYIGwZQ38g8Y4qwpS/ycOQlyLfHnkHN +omyy0VeVeDf3Rj8LfmypsbAf8jH0P0G7crzTWuL/KPLmbGPMI/CJjGd1CvII +5IalxgbtUO3Sl8m3mHyLoPHw/2hemMnKhHdeJXx3vf8C495R7m8pZw2QS6Af +Y+8SvQG9BfVIvbqyw8m9LfZu0JvR2xmC/tUsz+xjwkNivVVoPFbMrpx1TRgD +z/K9q5jdY5FzbSH/lFK/NdnI9lDs3a4Z1azOiP1WtTO1O6vwH1To+dTM6W0N +jzx7emPqiXqjHkzg+0emvauFocLS+RljmWZ8V+xdEiLvHu2UvcRbQfyv8zzj +X2X8r9SdsyPwd/B9h+GP1fMctI99l7qjAeQuw39VoXeD5kZYWxgZq4W5uhPd +jWbkX3x/TflfRf9I+ldag++fxBiaMCb1gq+OjCW6w5XomyRdk2o8Hrmn6mWa +nl4ixsQ6fmM9Y2PPp0nrhEFFRcZEYWFnzrajb4Q8POF/hOnI65PGQu3tQ8jz +io2V+mZhRbrYvsKMucXGFGGJMFbY93DkXSwM1G7bHxlbtOMOpDzrmvGDKc/i +pmLvSs3khpSxUf90+rcTFjROercKE7rAz4m8+1VzW+TXI//LqGfTY++KGmgU +8/I/x0+PqQ== + "]], + + PolygonBox[{{5908, 1104, 3419, 4242, 6072}, {5894, 1407, + 4485, 4281, 6081}, {6083, 4289, 3470, 1420, 5909}, {6071, + 4239, 3417, 1103, 5893}}]}]}, { + EdgeForm[], + GrayLevel[1.], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFl2uI1VUUxc+Mdxzn3jt35s69dyZDIx+gRZgGmRplZL4+pZKPyvIxk4+x +h1E++lJmSCYEVgaVUYqhVmqZjpqZCakQmIFGpvlE7YGVfqs0qPVrbQnmz9n/ +c/fZe5911tr/Mz2mPzHu8eqUUqkqpU4aX82mNFt2Lz2HcilNzqe0P8bDOdsT +ZU/Ss1Y+k0spDcmk9JDGgznPb9RY0Ptjmr+xJaXLTSm1yp4o+4js+2V3lX1C +fkPk31yX0teFlLYVU9qrud7yOSqfb0vOSe4O5dqi2obJPiv/UXnXQQ1zNA7Q +07mLYmT9G/M9FOcWxRmrOL8q38eNKe3R2Kg89Q0pDZLfP/WqVe89tW6Tfh+s +95Lmn9P4kd5f0Ppa+XZucI5Pss4zU/GP6v0v+YzQXFe9L9S4XxjuV7yuWl+f +97i+aHuP9ri2aHwua12NYvbX/Gite01Pb8V4u3NKp8BYh/Kb6r6o/AuaXdeO +omsbqjh3FnxWTwqLds3VdnF97YHDYo2v552XeFPzjkm+OeGD/6OxFl/WcDa3 +Ks+Dir9Z8a+onpdrUrpOa0/mfGbEOaDa7yq47q1Z1wJnwHJn3ngel+8U2RPk +v0b+ZfmPBWfZfWXPzBrP/lEPWLO/tZ1cy3/4yd6Q8x6wD2rd9qJ5CG84w4rG +CzrXFcJ0Z4v3ejLq7CcOnFPcU8KyorXvKfc45ewje6PsGVn7soY8k4XzTQ3G +4YeoH06e0frzmvtSZ3Gixr/1Uz1T5f9mo/ndJvvdRvM+JyzGKPZ28WFunc9p +vOpZVGW+zAo+w2XsZ5RnVc7v6A+c9iVjNF9PXnPd9MzLOvbUasclJmdOfDCE +g+OCh/jOCP/pdY5FHHKci7x/VKT72pT+1Nga8/iyHl4KprQ39txfWM6Q3zJx +opfsEdW276k2Ni/VuJ7hel7U/LBq13lRdkXjqYrtkxqvaTHXBzR5rwtiv20V +r+2Jdkvmwu/llKpV48qIychazrcja66hnfYa8xWuwo2WOvvgj83aO3S2bxSN +N70hU+t626OHoIXu8EI+94Y+juU8T0+qqfW+4cjzRfMEfmVrvddrxYFV4sAm +remj+leo/vnC73MBua5ojqGnnPynyb+gOEXND1aesuzxskfmjQF7puYHCtYk +erxNY1OD+yDnDQfoRaeF2yWtOVPxGjSBHumvg/L/49EcOLTGOe8V5oNU81uq +eV/ONbXVGUP23KWLzxR+1YY9v2ys55V97vigcfgLx6bH+taIz9gWfEMfj9Rb +I/TOYsF6oNc+W+8eAJbw5CrHGdnj0oy/NWiIeNRKTLAcmPE7fQJu0Ct2iWMr +FfdsfGuagw+l+KbBLfaMdtEyfZlz48zqox8QZ7fWr1ac0y3mIusGlKwJ9s/e +p+j9dtkPa1xTZXtxlTUEN9HR+zlrslvoES2CD9zvXmX+o/Xrq/wbeiPH9cq7 +Lmdt852ZFN8+6oWL6I8ccIhezNmjifYqzy+O77n+0jvN3tPPTca1EtiCK99Y +sAXLpYEzfW7v1V4X35INgRNnCFb0yOPhxx2AbxbfX/oB2oAzq5sd4+8m9zf2 +Sj1ogXODL/DofPj3y3gOfIh1IeP90H/xOS2cfyp5/seS+9yY6HXTos/CDXrh +6OiH9LazwXs0jw7Ahf2DA70ajlRCI/QGdIgvPfLujLFmfxdij9Q0IvCn/trQ +AvsGX/ayJONewzkMzZgbcGSZsPoqa9ypeWBgjt/wqI245IQ/9BHw7ltyH6L3 +kps70siMeTm+5Dg3N7kfjMp4b/Dqw5y5RR9YGf2T89oYnN+pJG2N5ul22dMb +zTtik4M64eoHOfOVe9mhmEdPh0NTE9SjKg2+h3Vwr+Pek3P/210wf+AM3AIr +eLMvOAZ+x2J+hvJ/VnA+7hfLc+bOU5r/rmA/nuPhz12kI/RGTWC7KO6xy6JO +vtXT6q35X5qsBTRxpcn54en3in2k4J7Bfe2LgjF6umLc5lXMka1x56F/bYlv ++ua408yM7//msNHjttAk99wDBe8bLh0M/JeXrYdXyuYp/RSu9mhxvZfjXsyZ +E4eePDe++2MiDxzmfvRNwWcCBiMCB2qdHX0AvY8MzV8s254t7kxqcQ/uXzJn +4SF8vKHF3zru72uCo8SBW3CMvPAUjcDVhc3uD/wfQK9ujW8C3F8SWkDj7XG3 +3KJF9zX6nHbI/lTPetmzNLerYO7S98AK3Z2LmGBOrdR8qWxO0TPhA3wZG//P +gP1Vvf4LlV2VoA== + "]], + PolygonBox[CompressedData[" +1:eJwllVuIVXUUxpd6ZkbnnLP3OWfP0SYSHA2UBGt88JY6YZFKD6mYUZqWM46X +Uh+a8fIiZIQ5IFgaRPpgFOYlhdTGsos9mCB4gZJywhkd7GJEjG95iez38T0s +WN9/Xf5rr/X9125avn7BusERsQrJIberEUPqIp7icEXVIr2rNqIdfUzFeg0+ +d8GjwdvAOfAd8JU0oiWJeLc+4gTy4YiIrYWIxiERf+LbjX0s9nZsnUgzZ3uJ +34N0EH8SexX7AmybkPuc5cm9oyZiZ4Pv1N09FPswsf+B68G/gieAW0sRp4g/ +mI94aBD1gxvIOZsaRoKnZxFv4zsJeS5zzap9IriJ+A78LxB/hvirSCf4CrgX +vQ/ZXo6oI18z+V5F9mFvK0asJf4o9g/AL4Nbwd8rHv/viD+C/jz+T6D3EP85 +37YLKYPH438c/WkkxT/BPhXf6rCIdeQ7jk8X8T8g5bJ7rN7KZzG2R4g/Bv4M +aQAPA29En4+MAw8Fb0BfWW99FTkP5312mxwvJo6dhywveQbq/Sf49GM/n7rW +ucgk7p8B3sz5Deq7gd5TcO3nkH76eYtZVuFML/rX5F5JzlGDfKdqawcfyrvG +buyvgBux7+fsffIvA+/L+46Z2BeBd+bNqVtw4E16ux8+TWR+lzNzYQ3xP6Iv +LLkm1aKebRweMYB9N/5jsY+Cj71waQL4HvPu42w7+Dd8+tFPcecS7uwmfjRy +Hn1K0bMUJ06DHyx61prpAer9hrNP0YvEfpWYc+KavrGTetfoPvI/Q/4vE3NU +3DyAvYv418G/oL9G/E+JOSju6ewL7Bc5O4ueYb+UmBPigs4+Tj0jzUZvRr07 +mnrW6qF691FqLqiHb5BvLvg9Yl6gptrUNehucbomNcfF7cfEwdQcFnfnIMXU +HBU3p4Ar6KWy9WkFc/FuybHi5Bb1quTaNbefE8fIV2+qkppT4tKTBb+FyWXr +ehN9cGig1m9cb72Dft6rdU83oLdyNrjOO6gN/UhqTovL2jHioLioHNeq5trJ +xNwW56Yyk7eo63FkWebZLyr7W8UBcXckOZ8tmMOPVrw7tJO0m5Zmjm1B2tFv +VrzrtNMegGvjMnNP+2ETXPy3Yu5pPzRhb87M5dngAb7nemYuiqNnhntX3C+a +i9oZbSXvUO1O7bhvE+8o7SZx8Hfi/8qZ83+jv4RMy3nnafd1Vr1r1TP1bn7m +3aceqBfTqW9Wzv+Af7Bfy7xb9Ub0VsSds2VzXRxanbl23bEEvXGEeaWdr93/ +ToN3t2am2emN6q2qxj/QW7hvTs474zr3/Q+r9uBx + "]], + + PolygonBox[{{5975, 1123, 3425, 4251, 6076}, {5930, 1133, + 3429, 4257, 6078}, {6080, 4272, 3455, 1155, 5976}, {6074, + 4244, 3420, 1113, 5929}}]}]}}, {{}, {}, + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{4668, 5623, 5624, 5477, 5478, 4643, 5626, 4644, + 5076, 5075, 5095, 5094, 5101, 5751, 4903, 5750, 4904, 5752, + 4878, 5930, 6078, 6112}], + + LineBox[{4671, 5600, 5601, 5597, 5599, 5598, 5630, 4654, + 5087, 5086, 5089, 5827, 5088, 5828, 4656, 5920, 4859, 5793, + 4860, 5921, 4858, 5975, 6076, 6115}], + + LineBox[{4939, 5237, 5238, 5236, 5265, 5264, 5631, 4655, + 4949, 4924, 4957, 4956, 4969, 5359, 4913, 5358, 4914, 5360, + 4912, 5976, 6080, 6124}], + + LineBox[{4966, 4958, 4959, 4921, 4945, 4641, 5625, 4642, + 5476, 5475, 5493, 5492, 4657, 5912, 4840, 5790, 4841, 6049, + 5913, 4823, 5929, 6074, 6123}]}, "0.8999999999999999`"], + Annotation[#, 0.8999999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{4666, 5713, 4861, 5497, 5498, 5499, 4977, 5899, + 4815, 5661, 4816, 5662, 4869, 5323, 4834, 5077, 5365, 5366, + 4929, 5765, 4817, 5663, 4818, 5664, 4847, 5708, 4848, 5096, + 5097, 5098, 4981, 5729, 4879, 5728, 4880, 6047, 5730, 4768, + 5893, 6071, 6122}], + + LineBox[{4814, 5235, 4749, 5617, 4748, 5786, 5315, 5787, + 4812, 5658, 4838, 5707, 5490, 5491, 4902, 4948, 4947, 4992, + 4839, 4985, 5085, 5084, 4755, 5621, 5262, 5263, 4778, 5909, + 6083, 6126}], + + LineBox[{4937, 5718, 4868, 5505, 5506, 5507, 4990, 5504, + 5503, 5502, 4867, 5717, 4936, 5628, 4775, 5487, 5488, 5489, + 4781, 6028, 4901, 6026, 4900, 6027, 4991, 6004, 6003, 6002, + 4919, 6031, 4670, 6014, 4857, 5997, 6039, 6040, 4982, 6043, + 4824, 6005, 4825, 6006, 4777, 5908, 6072, 6110}], + + LineBox[{5375, 5116, 4683, 5003, 5275, 5276, 4788, 5700, + 4835, 5479, 5480, 5481, 4978, 5333, 4842, 5332, 4843, 5334, + 5494, 5090, 4750, 5239, 5055, 6056, 5056, 6058, 6057, 4769, + 5894, 6081, 6108}]}, "0.8099999999999999`"], + Annotation[#, 0.8099999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{4577, 5526, 5527, 5400, 5638, 4610, 5639, 5528, + 5529, 5401, 5640, 4611, 5641, 6045, 6046, 6023, 6025, 6024, + 4873, 5342, 5343, 5010, 5344, 5817, 4612, 5956, 5753, 5754, + 5618, 5620, 5619, 4646, 6044, 4851, 6009, 4852, 6048, 6010, + 4820, 5928, 6073, 6066, 6127}], + + LineBox[{4598, 5579, 5580, 5576, 5578, 5577, 4597, 5967, + 5968, 5803, 5970, 5969, 4918, 5965, 5966, 5802, 5964, 5963, + 4596, 5887, 5888, 5785, 5890, 5889, 4665, 4964, 4965, 4926, + 4963, 4962, 4595, 4952, 4953, 4925, 4955, 4954, 4659, 5959, + 4906, 5801, 4907, 6051, 5960, 4905, 5957, 6079, 6067, + 6121}], + + LineBox[{5268, 5103, 5104, 4996, 5853, 5854, 5804, 5805, + 4605, 4569, 5367, 5368, 5361, 5363, 5362, 4872, 5721, 5722, + 5396, 5397, 4607, 4573, 5325, 5326, 5324, 5860, 5328, 5847, + 5327, 4819, 5767, 4930, 5766, 4931, 5768, 4927, 6032, 4928, + 5980, 5981, 5982, 4575, 5925, 4870, 5794, 4871, 5926, 6008, + 5710, 4850, 5709, 4849, 5915, 4645, 5351, 4908, 5350, 4909, + 5352, 4874, 5927, 6077, 6065, 6111}], + + LineBox[{5660, 5615, 5616, 5612, 5614, 5613, 5657, 5595, + 5596, 5592, 5594, 5593, 5655, 5951, 5952, 5800, 5954, 5953, + 4899, 5949, 5950, 5799, 5948, 5947, 5955, 5880, 5881, 5784, + 5883, 5882, 4660, 6007, 4845, 5791, 4846, 6050, 5914, 4844, + 5958, 6075, 6068, 6113}]}, "0.72`"], + Annotation[#, 0.72, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{4570, 5369, 5370, 5105, 5107, 5106, 5633, 5269, + 5270, 5111, 5113, 5112, 5636, 5272, 5273, 5117, 5119, 5118, + 5277, 5761, 4915, 5760, 4916, 5762, 4862, 5716, 4864, 5714, + 4863, 5715, 4865, 6030, 4917, 5998, 5999, 6000, 4988, 6042, + 6041, 6001, 4866, 6015, 5335, 5257, 4771, 5255, 4770, 5256, + 4776, 5891, 6082, 6061, 6107}], + + LineBox[{4604, 4628, 5421, 5420, 5611, 5610, 4602, 4626, + 5417, 5416, 5591, 5590, 4600, 4624, 5045, 5044, 5229, 5228, + 4594, 4623, 5040, 5039, 5216, 5215, 4589, 5411, 5410, 5667, + 4822, 5496, 5712, 6013, 4856, 5994, 5995, 5996, 4987, 6038, + 6037, 5993, 4855, 6012, 4935, 5905, 6070, 6064, 6109}], + + LineBox[{5644, 5535, 5536, 5534, 5538, 5537, 4579, 5540, + 5541, 5539, 5543, 5542, 4580, 5135, 5136, 5134, 5138, 5137, + 4581, 5140, 5141, 5139, 5143, 5810, 5142, 5811, 4582, 5702, + 4836, 5701, 4837, 5703, 5711, 6011, 4853, 5992, 6035, 6036, + 4986, 5991, 5990, 5989, 4910, 6029, 4934, 5892, 6069, 6062, + 6119}], + + LineBox[{5898, 4622, 5651, 5409, 5562, 5561, 5650, 4621, + 5822, 5306, 5032, 5207, 5206, 5305, 4620, 5821, 5304, 5031, + 5205, 5857, 5204, 5303, 5770, 5769, 5789, 4821, 5848, 5500, + 5501, 5267, 4780, 5266, 4779, 5632, 4968, 5408, 5407, 5560, + 4726, 5093, 5495, 5260, 4773, 5627, 4772, 5841, 5261, 5842, + 4774, 5904, 6084, 6063, 6120}]}, "0.63`"], + Annotation[#, 0.63, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{4794, 5159, 4695, 5158, 4696, 5160, 5378, 5162, + 4697, 5161, 4698, 5163, 5379, 5165, 4699, 5164, 4700, 5166, + 5380, 5168, 4701, 5167, 4702, 5169, 5381, 5171, 4703, 5170, + 4704, 5172, 5329, 5704, 5705, 5482, 5483, 4649, 5706, 4650, + 5080, 5079, 5100, 5099, 5102, 5756, 5757, 5755, 5759, 5758, + 4881, 5933, 5934, 6093}], + LineBox[{4805, 5297, 5851, 5296, 5027, 4725, 5199, 4804, + 5295, 5294, 5026, 4724, 5198, 4803, 5293, 5292, 5025, 4723, + 5197, 4802, 5291, 5290, 5024, 4722, 5196, 4801, 5902, 5903, + 5788, 5901, 5900, 5924, 4664, 5873, 5779, 5896, 5895, 4669, + 5554, 5555, 5551, 5553, 5552, 5629, 4651, 5082, 5081, 5083, + 5824, 5826, 5825, 4653, 5916, 5917, 5792, 5919, 5918, 4854, + 5971, 5972, 6092}], + + LineBox[{5393, 5054, 5053, 5052, 4747, 5234, 5391, 5048, + 5047, 5046, 4743, 5231, 5390, 5043, 5042, 5041, 4738, 5227, + 5389, 5038, 5037, 5036, 4733, 5214, 5388, 5035, 5034, 5033, + 4729, 5209, 5317, 5665, 5666, 5316, 5331, 5330, 5485, 4652, + 5486, 5484, 5764, 5763, 4923, 4951, 4950, 4967, 5354, 5355, + 5353, 5357, 5356, 4911, 5973, 5974, 6114}], + + LineBox[{5862, 5371, 5829, 4673, 5508, 4674, 5108, 4782, + 5271, 5831, 4680, 5517, 4681, 5114, 4786, 5274, 5832, 4684, + 5525, 4685, 5120, 4789, 5278, 5833, 4688, 5530, 4689, 5129, + 4792, 5961, 5962, 5777, 5871, 4661, 4989, 4662, 5872, 5778, + 5923, 5922, 4663, 4960, 4961, 4922, 4946, 4647, 5259, 4648, + 5823, 5258, 5078, 5092, 5091, 4658, 5346, 5347, 5345, 5349, + 5348, 4882, 5931, 5932, 6118}]}, "0.54`"], + Annotation[#, 0.54, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{4783, 5109, 4675, 4997, 4998, 4999, 5372, 5115, + 4682, 5000, 5001, 5002, 5374, 5121, 4686, 5004, 5005, 5006, + 5376, 5130, 4690, 5011, 5012, 5013, 5377, 5133, 4692, 5852, + 5016, 5017, 5319, 5681, 4826, 5432, 5433, 5434, 4827, 5682, + 4693, 5544, 4694, 5545, 4793, 5742, 5743, 5463, 5464, 6059, + 6094}], + + LineBox[{4813, 5233, 4746, 5609, 4745, 5839, 5314, 4811, + 5230, 4742, 5589, 4741, 5838, 5313, 4810, 5226, 4737, 5581, + 4736, 5837, 5312, 4808, 5213, 4732, 5575, 4731, 5836, 5309, + 4807, 5208, 4728, 5563, 4727, 5834, 5302, 5846, 4806, 5649, + 4831, 5685, 5443, 5444, 4832, 5442, 5441, 5622, 4761, 5840, + 5452, 5746, 5945, 5946, 5467, 6052, 5468, 6089, 6090, + 6130}], + + LineBox[{5386, 5187, 4714, 5185, 4713, 5186, 5385, 5184, + 4712, 5182, 4711, 5183, 5384, 5181, 4710, 5179, 4709, 5180, + 5383, 5178, 4708, 5176, 4707, 5177, 5382, 5175, 4706, 5173, + 4705, 5858, 5174, 5320, 5683, 4828, 5435, 5436, 5437, 4833, + 4944, 4943, 4994, 4760, 4975, 4795, 5740, 5741, 5461, 5462, + 6086, 6088, 6099}], + + LineBox[{5387, 5188, 4715, 5019, 5280, 5281, 4796, 5189, + 4716, 5020, 5282, 5283, 4797, 5190, 4717, 5021, 5284, 5285, + 4798, 5191, 4718, 5022, 5286, 5287, 4799, 5192, 4719, 5023, + 5288, 5859, 5289, 4800, 5684, 4829, 5438, 5439, 5440, 4830, + 5194, 4720, 5193, 4721, 5195, 5341, 5744, 5745, 5465, 5466, + 6060, 6100}]}, "0.44999999999999996`"], + Annotation[#, 0.44999999999999996`, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{4587, 5549, 5550, 5546, 5548, 5547, 4586, 5156, + 5157, 5153, 5155, 5154, 4585, 5151, 5152, 5148, 5150, 5149, + 4584, 5146, 5147, 5144, 5145, 5814, 5816, 5815, 4583, 5677, + 5678, 5676, 5680, 5679, 4640, 5245, 5246, 5243, 5244, 5812, + 5813, 6087, 6128}], + + LineBox[{4588, 5556, 5557, 5405, 5645, 4616, 5646, 5558, + 5559, 5406, 5647, 4617, 5648, 5200, 5201, 5028, 5298, 5818, + 4618, 5299, 5202, 5203, 5029, 5300, 5819, 4619, 5301, 5910, + 5911, 5686, 5688, 5687, 4635, 5067, 5068, 5030, 5247, 5820, + 6106}], + + LineBox[{5634, 5509, 5510, 5394, 5395, 4606, 4571, 5518, + 5519, 5398, 5399, 4608, 4574, 5122, 5123, 5007, 5008, 4609, + 4576, 5131, 5132, 5014, 5855, 5856, 5806, 5807, 4613, 4578, + 5672, 5673, 5671, 5675, 5674, 4634, 5065, 5066, 5018, 5849, + 5850, 5808, 5809, 6105}], + + LineBox[{5659, 5607, 5608, 5604, 5606, 5605, 5656, 5587, + 5588, 5584, 5586, 5585, 5654, 5224, 5225, 5223, 5311, 5310, + 5653, 5211, 5212, 5210, 5308, 5307, 5321, 5690, 5691, 5689, + 5693, 5692, 4636, 5249, 5250, 5248, 5254, 5864, 5979, + 6117}]}, "0.36`"], Annotation[#, 0.36, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{4572, 5512, 5513, 5511, 5515, 5514, 5635, 5521, + 5522, 5520, 5524, 5523, 5637, 5935, 4884, 5795, 4885, 5936, + 4883, 5938, 4887, 5796, 4886, 5937, 4888, 5876, 4751, 5782, + 4752, 5877, 5986, 6017, 6018, 5457, 5458, 6098}], + + LineBox[{4603, 4627, 5419, 5418, 5603, 5602, 4601, 4625, + 5415, 5414, 5583, 5582, 4599, 5985, 5984, 5983, 4877, 6016, + 4876, 5340, 4898, 5338, 4897, 5339, 4593, 5413, 5412, 5574, + 4730, 5835, 5445, 5747, 5775, 5776, 5469, 6053, 6054, 6091, + 6101}], + + LineBox[{5652, 5565, 5566, 5564, 5568, 5567, 4590, 5570, + 5571, 5569, 5573, 5572, 4591, 5939, 4893, 5797, 4894, 5940, + 4892, 5942, 4896, 5798, 4895, 5941, 4592, 5878, 4753, 5783, + 4754, 5879, 5987, 6019, 6020, 5470, 5471, 6102}], + + LineBox[{5897, 4615, 5643, 5404, 5533, 5532, 5642, 4614, + 4940, 4932, 4971, 4970, 4976, 5403, 5402, 5015, 4920, 5364, + 4875, 5734, 4890, 5733, 4889, 5735, 4891, 5337, 5336, 5531, + 4691, 5781, 5073, 5074, 5738, 5739, 5459, 5460, 6085, + 6129}]}, "0.27`"], Annotation[#, 0.27, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{4791, 5844, 5845, 5843, 5279, 5009, 4687, 5128, + 4790, 5726, 5727, 5723, 5725, 5724, 4979, 4632, 5429, 5428, + 5431, 5430, 4633, 5126, 5127, 5124, 5125, 6033, 6034, + 6125}], + + LineBox[{4809, 5218, 4734, 5217, 4735, 5219, 5322, 5694, + 5695, 5446, 5447, 4637, 4984, 4638, 5449, 5448, 5697, 5696, + 5719, 5240, 5241, 5059, 5251, 5771, 6104}], + + LineBox[{5392, 5051, 5050, 5049, 4744, 5861, 5232, 5318, + 5669, 5670, 5668, 5907, 5906, 4980, 4639, 5451, 5450, 5699, + 5698, 5720, 5221, 5222, 5220, 5252, 5977, 5978, 6116}], + + LineBox[{5863, 5373, 5830, 4676, 5516, 4677, 5110, 4784, + 5731, 5732, 5422, 5423, 4629, 4983, 4630, 5425, 5424, 5427, + 5426, 4631, 5063, 5064, 5057, 5058, 6095}]}, "0.18`"], + Annotation[#, 0.18, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{4667, 5884, 4756, 5772, 5865, 5866, 4757, 5874, + 4678, 5780, 4679, 5875, 4785, 5943, 5944, 5455, 5456, + 6097}], + + LineBox[{4672, 5886, 4765, 5774, 5869, 5870, 4766, 5868, + 5867, 5773, 4764, 5885, 5988, 6021, 6022, 5474, 6055, + 6131}], + + LineBox[{4933, 5242, 4759, 5060, 5061, 5062, 4767, 4942, + 4941, 4993, 4758, 4974, 4787, 5736, 5737, 5453, 5454, + 6096}], + + LineBox[{4938, 5253, 4762, 5069, 5070, 5071, 4763, 4972, + 4739, 4995, 4740, 4973, 5072, 5748, 5749, 5472, 5473, + 6103}]}, "0.09`"], + Annotation[#, 0.09, "Tooltip"]& ], {}, {}}}], {}}, { + DisplayFunction -> Identity, DisplayFunction -> Identity, + Ticks -> {Automatic, Automatic}, AxesOrigin -> {0., 0.}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines -> {None, None}, AxesLabel -> { + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + FrameLabel -> {{None, None}, {None, None}}, DisplayFunction -> + Identity, AspectRatio -> 1, Axes -> True, AxesLabel -> { + FormBox[ + TagBox["x", HoldForm], TraditionalForm], + FormBox[ + TagBox["y", HoldForm], TraditionalForm]}, DisplayFunction :> + Identity, FrameLabel -> {{None, None}, {None, None}}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLinesStyle -> Directive[ + GrayLevel[0.5, 0.4]], + Method -> { + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, + "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + PlotRangeClipping -> True, PlotRangePadding -> {{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, Ticks -> {Automatic, Automatic}}], + StyleBox[ + "\"max(min(x, y), min(1-x, 1-y))\"", FontFamily -> "Helvetica", + StripOnInput -> False]}, "Labeled", DisplayFunction -> (GridBox[{{ + TagBox[ + ItemBox[ + PaneBox[ + TagBox[#, "SkipImageSizeLevel"], + Alignment -> {Center, Baseline}, BaselinePosition -> Baseline], + DefaultBaseStyle -> "Labeled"], "SkipImageSizeLevel"]}, { + ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, + GridBoxAlignment -> {"Columns" -> {{Center}}, "Rows" -> {{Center}}}, + AutoDelete -> False, + GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + BaselinePosition -> {1, 1}]& ), + InterpretationFunction -> (RowBox[{"Labeled", "[", + RowBox[{#, ",", #2, ",", + RowBox[{"{", "}"}]}], "]"}]& )], + TemplateBox[{ + GraphicsBox[{ + GraphicsComplexBox[CompressedData[" +1:eJydfQV0lccTL1bcCsXdSqG4Fh3cXUsp7lDcrUBwKBbcIQQNGkKQBAg3JBAC +JCQhQAJxl3uDFucl9+5v9+1c7r/nvRzO+Zi7++3uyM7OzM7uV2Hk1D5jsmTK +lMkrb6ZMGU/+Z1+5c/o/Z9Jhg4RDXSen//Nl5QESNheHBks4xPKDhL9+y/gL +l/AW8/tREq6UAdrHSPiS+fU4CXc0d5go4Wfm9pMlPMk8wFQJW/7SGKzw/P7T +IGHgq5cHSBj4Aga+gIEvYOALGPgCBr6AgS9g4AsY+Op8S2Ow4uP38VRPHV8D +w9fA8DUwfA0MXwPD18DwNTB8DQxfA8PXwPA1MHyt5fT7fFR48ifwBQx8AQNf +wMAXMPAFDHwBA1/AwBcw8AUMfPV5l8ZgNQ+/L6cGK7z0cvXU+RvA+BvA+BvA ++BvA+BvA+BvA+BvA+BvA+BvA+GutZ74/Dw1WfON4AeZP4AsY+AIGvoCBL2Dg +Cxj4Aga+gIGvrjfTGKz06Pf1jMFKLjnfOF6A+RP4Aga+gIEvYOALGPgCBr6A +ga++LqSRrXXi+3rUYDXvuFxyvnG8APMn8AUMfAEDX8DAFzDwBQx89XUvjWyt +g8CX602uV/i843LJ+cbxAsyfwBcw8AUMfAEDX8DAV1/X08jWOg98+brA9SbX +K3zecbnkfON4AeZP4AsY+AIGvoCBr263pJEtOwb48nWPrwtcb3K9wucdl0vO +N44XYP4EvoCBL2Dgq9tlaWTLTgO+fF3n6x5fF7je5HqFzzsul5xvHC/A/Al8 +AQNf3e5MI1t2KPDldgtf1/m6x9cFrje5XuHzjssl5xvHCzB/Al/drk4jW3Y2 +8OV2Gbdb+LrO1z2+LnC9yfUKn3dcLjnfOF6A+RP42vIjgO/37U5ul3G7ha/r +fN3j6wLXm1yv8HnH5ZLzjeOVZvW0jNdBPoE5YMtwjazc+j3Uw/uAbT15O/w9 +Pg4+bn1c9vJp4YfJ5u/8qfdjb/N33j/vJ5P2l2b1+/f7RTtujI7ejC7+ErY0 +GyThTub/PJPwX+YGX7DySCt+oV/+RP+A0T9g9A8Y/QNG/3p5pIQt8h/N6sdK +2DIf4iW82dxhkk068XHzJ8YPGOMHjPHrcKSEMV7AFc3vp9jkE6cbHwd/YjyA +MR4djpQw+rclF5xPHG/eL3+ifx2OlDD6tyWHXC44nTmevF/0Bxj8B4z+bck9 +l0PwDzDkDTDkDTD6A4z+AEPv2JpnXO65XHG+cjpzOuj4Rsr+bc0rLrffp0Os +hIE/YOAPGP3r7RttzmNOZ94vf+r0j2X0j2X0j2X0t9YbnK8cT94vf6J/wOgf +MPq3pae43HK54nTmePNx8CfGAxjj0WFvKz3B5y2fR1zOudxxOeB84XTi4wTM +nxi/rXnG5Z7LIZcLzidOJ96vZf46W62P+u+wC5yYfoe94m0F431d3+PPX5br +ejlTJl2vOjO9mSmTrvecJb1QruslZ6Z3EFeKtmEfOEv66u3Fyvr6+86S/qgP ++ut6OVbWRznqgz+or7/vLPmH+uAf6uvvOzO5536LgyzX562yIyEXnM+6/WGw +spv0332t7BKUW54BVnYCyi31g63WcZTrcT83tg4aGD8NjF8GNl+82XzxttIj +ul/nZmW3gl5c7v/3vDDIcp2OKi6Pcr2eL7NzfJnd4cvWRV8mz/4sruLN4g7e +TD79mZ/uzeTRn/m13pI++viNjM//pRcMslyXLxW319/3l7/r8hDA5CGAzVd/ +CYOuuj/pz/xJf4k/6uv+pb/EHzDw53rtf+s9g5U9q88LX2bfBlvZsfhdXz+C +JX9RDzDoBnw5fvp401g/RuJ6+X/rbQOTWzc2r31t8FHZhdDz4BcfP2CMXx9P +GrPPjbL//1pXEJ8AjPgEYMwvPj7AGB9gjE/vL41srWN8HdLpG2mlB7le4POC +ywn65TCPQ3G7iMdtbK2rGD9fN7me5nqLw9ze5nFebnfzuCjK9bhjNIvLKTuP +x6Fs2QHAj6/zfN2xtQ5hXnG9xO17Ht/m/gaP+3K7n8dJUa7Lo7JredzNll0D +/LndopcbrNYZW+sw17uYt1xv8XnG+czj4dwf4nFi7ofwuCq383kc0pYdB/pw +O00vN7C4j6+VXcL1NKcXL+d6keshPg+4XPB4OvfXeFyd+208Ds39Ih635XEv +bvfyeDW3a6HXbdkhfF3m6xhgrqeh57h/yOPz3F/k8XruP/L4PfcneTyf+5c8 +zs39PL5/gd8t9IJfZ2L2KfcD0ph9arSy+7C+cHqjHOsNp7+uV0Ot+MHXRb7O +cL3M9RSfl1zOAOv2rJHNUxX3ht+k0089LXSwZ08ef3ayiuPrsLPs7/t8Uu3o +fpwDq2dv08/D7zo+Jqv9Clv1AOv0cWJ2CcZhJ8r30hTzf9Q+A97T9/kd2D64 +A9sndmD7qA5sn9GB6Q1nNl61L2HB05Wtawbi6xbX0zq/DCwu6MviZL5Wel2f +Z77MzvBn4wlg/Qew/tW+Obcb+LwDjPmj278OVvkU3P7k+QrcPvvffLP2w/n+ +P7d/bPGd0xntcT+O769ze4XvT9uKq0Afcr+X+4Hcb+J+iB5XcJLzR9dLRjlf +LP0cI8wn/M71EJ+HqIf3IPd4D79b+GWUT8xXXb7s5Dgwf0E/fT57yKelfR8J +m5uv/EjClmn3WMIWuQux2Q5/8nb5k/fDn7zfDub3YP9GCvrCXoyW5YDxRD2L +nCRIGPUB83ou5oEkSRj1AfN6/In6gDFuPk4+Dt4Pbwcw9CNg/jv0JtYV9A8Y +T9SzgLclbJGbBxK2tBsoYfPwvz2RsEU+n0uYt8ufaN9Wv7we+rc1Ll4P47M1 +bl6P4wE6AuZ0tPAP8bcoIfex8olywBY9HC+fKAdsaTdRPlEOGP3wdnk7/D3A +/MnxhF6C3gCe0EuQV11uouR7KNf1WJysj/GiPspRH/KO+sAH9VGO+pgPOl8S +ZX3MB5QDb14Ovuv2h4ccH+QQ/QPG+KDvMB6UYzwoB51Rrut5H0k/yDH6A4z2 +AaN96FO0j3K0j3LQHzDwwzxA+4B1uQiU7UE/A3/AGK8+v0wSxvvQ55AvXQ6d +pFzpfIuW9fAe6gMv1AdeoAPe53TA+8AD73M+oz3wCfW5XOh0irOiE/oD39Af +5yvaQ3+oj/5QH/ignMsJ6K6Pz0nOA/SvrxtKDjAvUK7PCyPTvyY5XpRjvCjX +5c7I9LVJ0ku3m5QcQm5QzuUM7el2VqCEUR8w5InbdRa8jNKewhN6ETDsKr3c +TtppnM+c7qCXTkdfCYNegC3vBUgY9AJseQZLGPQCrPvvrpKf4JOlfYOV/uJy +x/Udxo32wAe0x/ny/8snff6o+c/zubmdZWudAszzo7ldZmvdAszzjbkdZ2sd +A8zzd7ndx9c1ne5OLO6UIOUM9Wyte4B1f8nVav7ydZHPN76O2Vo3+DoAvgLW +/ThfFh8IYHGzYJa3EsrieqEsThcu5zWH9fMI8Syf3yhh9Kfv0xqt4v163k60 +5Avq8/xxtIv5Cr6hXT1eG8f0s9Eqn1uPf/owO0jREfpFnyfBshz6RZdjRVfu +l4Gu+r5EmFW5Trcwpt+jZLk+z01WfNHnscmKL/o8NbE4g5HNQxPbTzeyeWbL +DzfIdUFf75wkP1Cur3dOkh8ox3xBOfiBcn29c7KKC3E9qZ9DwvgirMotsJss +1/3uKFkOPYpyPc7kJvUkyvVzJG5SD6JcjxO5ST2Hcoxbp7O9FZ319Qvro7ek +J+aBLl/eEh/d/k6WsM4XX9k/56PujyKf3l/yC/MM7QPW8QuQ7XM5AIxxo75O +h0CmfwNlf5jH6E+XK3srudLXX39ZH3hyvACDf9AL6B8w+tfl1t5KbgHjfegJ +rBOA0Z4u5/ZWcq7DbkwPuVrJPWD0p+shNyZHrlbzAjD4hfrgF5c7wLr/Hi37 +1/WcG9ODrlbzDjD4oce3uF50Y3rT1Wqe8nEB1tftBNmermddreY1lxM+Th02 +WtmdfB5xOedyx+XIllzpcUWjFR84HfV4ohon38+xPLFftFfQ4TzTc/aSfoB1 +PWTP9Jw90we83JnpGXtml9vL+f39cmepRwBjngPW42LOct7wecHllMsZYD2u +b8/iXq7MHuR+q5NV3F63exwY3tZ01/Wnm6SnLT8J9Ec56I33dT/H2i8C/VEO ++cX7oD/6hTzz9VhfB0xWdvp/yRXHQ18fXW36qd+nW6Ash7zweBXa1/0rH7YP +o/wIDnO553LO6aqvY7b9auDD1zWUQ28AH4wf9TF+wPDnQBf0Bz7r80Tl1XI9 +hvfRH8rRH2D0h3GjfVtxAH09U34HYP1cp7LzAet5FyFWfp2lGyOLs+C89XPZ +HvSwnoeh/ALAeB96Rs+HimT+YZR8H+V6flE085ejWf5QNPOjYmV7KNfzbeKY +/o9j+TRxzD+Nl+3pcXAP0uPgBhb39mD+pbXfz/NS9P2qFBZPMFmNh8fheRxL +z/eyjgPx9Rr19Xisytvlcg7Y0l2QFV58H4PHOXh+E34HPbhfx+mh7ys42NxH +AMzljseduBzxuBKXCx434nzjcSE9bmJi9DSx8bnKeYl1A7C+7piYX6PyifR1 +JVCW63rHWg9wOdPzL6z5oOdj2MZLH4+JrSN4T+VX6evEeRm3BWxpZy97qjwe +Tkd9HeF5LOdl/zpd1P4+6uv2ixo34syAOV6WftKYXanioBi/7s+rOCrk3FZc +FLC+/+fA/Agn5u+rOCnq24p7Atb1joPNOCdgPk+5HtXzyzxs6lHAPO7J5wnX +e3wfA/V5XJTPE8A8LsrnEfCyxSdbeOt0N9ikC+cL8OR2mq7/FV8s7R0S9DjJ +/B74C5j3PG/OTfIR8wewPk/5vAyU81enk73VPj3sBL6OYX7o6xA/j2XP9Iad +rAc6Ag+MF7/r+sBgZeeBrpafH0u6A8Z7+r6CNV8tfIsT9uYtto9gbUdY+JYg +6+vzyY3x1YPNL3VfG8YLSuj2ua9c1/E75gOvp8cxvKVc8/1w1Ad+6F/3Bw3M +brjN8qyVX6z7ZZkyWejxSI4b/eF33W8LsGnHoD9bfjTaBVxZ2DdoF/zX9UWw +hLldpPPPlp8eIGE9Tz1YzgeUg776+7b9fN0fUPdFuQq7R5f/KHb+JlbKM+wg +wJALtM/vZ9LtcV/Znq6X1X49t/v5+Qv9vEACs7sSrPZhMB7dzo1lefyxzL9R +9y3p8TV17g9yo9tJviw/IUCOF/KJcQLmfglgjEdfd01sHUxj/TlLOYHc6e8H +svUhwCq+x89t6Hn0CbK+fk5EleN90JufV4Ae0PeZkiWszxNlVwJf3e50Y/tA +rszed2awQfYPvcnzJXhcg8cJuB/P/WruF3O/l/ut3O/kfiD3g/j5BI4v6IZ1 +WM8nPS/fAz34fjHKIc98v1h/P4DZ2cES1vdLjSwukCbpoeOhzhvodpA6hwH8 +9TxMI6Oj0coO1+8D8Gb5Fd6Sf3r8zNvme8jT1vO+kccazvRcpIRRrp+7ipQw +ynX7NVLCKAddbNHV1rj0c21hVnTX13XrcQPW4/FxVnyDHEJf2sITMNrT7f40 +5oeofWFbdNH3/cOYnZRmFU/4vt3hwOwCB7Zuq/1dwPq6y+9D4PYt399V8WHA ++rrpxtYZNys9CH0PPDBeLt8o1/fVvOV4UA6Y73uhPvDHuqifJ/Jncuov29Pz +hSNYXtwLFkcKZ3hFMHsswsou1/epcP72mWwPMN4HHoD1+GuUlCPwAzD4ARj8 +AAw66XhY0xXwf9HRFt10vgXZpOP/pluEpIstutmiE2Ad7yiWJxPF/NQolhfz +/05ntKvbyf/Vj7XfChjlmJ946r/bs3XUQ/ol+vrI/RQVB0e/GB9gPS/W2aZd +B1j33+1knMnyvMr2ldwkHvhdx0vdQ4JySzvwbzyZ/jJY+Q227CjA+v6fOgeJ +clt+J/dLMa/w5PMC72GdAmzLz+B+iD5v1X0dGC/q6/z1l+PA79wPRT0+b1Gu +n6MKsOknANbXSeiNZLpsHu9DRqdgqX+4voSe0H9Xfi5g6A/U09eXYBvtRMhy +jM8yXnU/h35OyV/aV3oeUIikJ4d1vaXur+B2qO5PhrF7DpQdA1i/3zaM+Zdh +7Bx8GMsDDGP3qIYxezCW2VHWfjWvB/mAXtDPKcUy+1vlk3O6cP2JdjGf9fzH +KKvz///ld/NytM/zXrnfyP1K4KGfq8C+Q7yELfXUOROev8LjYjxuhn4wH2zF +pbhegPzxuI5e3/p+Xd2uj7UZlwBf+bk2vM/9bD1/Npn5P4kSttTj90mo+4B5 +HIfHRXhc4r/8eF6un7c32vTjLPQzWuWNAA89LqPiAoD1fT2j7B/llvaUf6iv +pw5y38dSb69sB7CeV2ovYQvowuo7yfXZ8vsxlh9xjNkh6jyDfu7bwWY7KOfn +XW3hwccNOuhP23EVvk+px2k8GD0NzF9W66+u9+NZvDbexv4Mjy8HMX8oUI5H +h9X5bh63wPyG3NuKa/O4N78v8/vnmdT5I36e+vvnkZS9ys9LQ64t7Z8R6z3f +XzzP5MLZKg4EGHIHedD3VexYu9AXqlzni5PkP+RRt0NxX8F1ub9h+d2TzRMf +Ju8+8n3LunaH3X/tb2UXoD3YS2gPMNqzoO3P6PpA0l2XvxRpX/FzWDqfAmV9 +2Dvwq/gT/hXiB7CbED/Q4ybhEtbtCnX/q36fUoCEgTfkF3Kp38Oi1n20p+8r +B8p1SrcnYpmdF8vOh8XJ+pj3sE94fqqeZ6hg6D2s/3oeqDonoNs7av3T80ST +rdYFfX9f6TX9/gEXOR90/vtandsADDyxTvN8Kg6D/5i/HAZ/9PPCyi7j+U/8 +3DHPf+LnQqEH9Dxwe5bHrc5V6+tDNFsP4pgeS5Aw98vxPvQk9Iu+Dqp5oOeJ +qfwzzCsdf3UuRb9XxCTlFfqQnxuBvuR6UC/HvWtYX2bIfmzNS8wrlOt8C2T+ +gvU80/2GZ5KPkDedTi+kHOl5PseYX3tSrie6f67wh97U1wF1LwGeWK8A83O4 ++v0q2B+Ok+sB9K6+/6v8bIv84B7i+2zfNtDKb0V9y3gCpNyALvyJ+cDz83U/ +Tdnt/F4A6Fd+rp+fn9P12AtpL+nrwW2rc1/QO3q8zke+p8/vUKtzYbqdE8nm +X4RV3B7zGeU8Dq/npUSw/dVIdt4+gvkF4XI+chjrE9rRz2dESH2o7w8rfaiv +XyYrvPV5GCH5qd+/Fsf8+zi2Diu66OtVJLNTI6z2ZzF/MI91/fqClUey+aT0 +ra4fXKX86fo4yep9rm8tdFLnmHT7LVDKJ+wazFdu93K7lp+DB30BIz5kGY/K +R8E8tIxb5eGgPcBoDzDaQxwT/fB4k243Yv0PY35mJIs/qHtq9HMwsYwOkOdY +KzsAsJ5vq/ILsb5AT+v+pvIDoZ8Bg38WuePrkcpD4HkNmDco1/0elTeg01fJ +MfBGOWDgCX5yfQl5svweL/OdAEO+9Pg3/MlEWV/PN/WVMNZbnd/KvtXzLAOl +PtH3MX2lPKM9Xd+q+0wxv8BPSz8u7J4nZ2lnVhbrl253BrBzD1FsnY+WMPrX +6Rwr6Qd/C3Yz6KXLwy1JT9SH3Yxy/f4SxR/oB7wP+PKvrYwNi6nvo8JOetX7 +StmVyRfol7o5T5f+Q93b3Cfj595PJbyIGg691lmdQ+gXfXTv7fIREsZf98Zr +Ww+P9ZBy8c0w+tTwfuq7nS8yXjuvvmtZrvy/e/J0vijX0TU/ne0YucCFzlaJ +WX7gQYhsx5js0aRSF5U3AjxiP518GdBdfff0feiTZTM73KaStV9Uzr5M3R8O +fUS9Phef+US9/z6yfkruzeo7mtX/3GR4+8t9WZ41ZujMChPU9zY3p5f+uUl9 +d7J+OlXyZlH5Y7mfHJnWIrfKH6u07VGo8wB1H0OWX1cXffZQ5YcVvJcweZCT ++m5UTef9puPe6r7mDWE7LjX9WdE56ecMRql9njnTS+WLqKn2WQK6jyz4exO1 +j1H8es1Js7upuL+Z/DMipN3R1cyvCBq3JTWdxWFW+WjpjbncnaPuh1gy0X3W +1uIxtDt9lF0bP1Jx+7tzbhwsqb7Pl+hfMfTD39bf35s9PqMjdQ9r9dR8N+rs +jqLZLTIoZ52vZibfnRiK3NfIf0LWM3J975fOlS5eKm4FfNORS+8hhtwOZkiA +sssfrHSsVmSc+p7ey4bF7I/1U/cqv/8lg/Eqbp6p9OF/wnZY558V7/r3hZhi +8dTSTK+zVvf1mcXh13ii9X/Ffzr5yOp+vjoZ02x0PP0xull4zw3qe3dXM6bb +lf/re3bm91VcF/2b2Tc+kcoNHHzhZspZq/v9fjlyecyZjYn0UxmfWHJU35f7 +Ide6cqOMKk7tOO5i0sxLqex9ZyrX0vNspqvJdMJMr3PS356X43W7L6VuSXht +BvpD70n4wYSs+xv5q3ys4D877ekzXX0P7kXPDTunFFLfg4tvE7Bt3UX1Pbj3 +6Vqgb3V1D/cisx5Q34P7tqFXh6m+Kh9rhXk86t7iXMu2t13/V7JVPpZlPin8 +zOTJpeKg/3RJytbgRxXHtMwvFZess+PzSJ/aRjJPgxsqz6fN8Nh0CVf5Uuj3 +n4+N25S4rvo3qwtDKi3NeuLcuTrO8tl0x8TYfjcf057Z40yvCnpQr+f1Rh5J +DaElUwMPful0i56fbHk6aLSPfOZY0be0qV4q3Z9tZ+ra+hHtEO/9JtpZMW5W +2vsRqZSwcoD7ibrBZCfa6SPaHb6n0aoGi1PpdoPJeSd8DKEAt4+XGhWIoSEZ +aHwII5/CT2OyrYmjqt0+DK41KB3PT9/+GRefQNMfua4+tTKc5lc+5/xXi2Rq +GWp3dtLBcIpZ7tvw342p9LJXtc2Nz4fTO6fki9nCTJQ48Mm4XO7htHHx42tz +9qaSi/e48Js1o+hRwKitR/aZaOS/p6vcjY2koaJfjCPzurBuS13iaOqY7dcG +T4qhu42qbnF3TKebY5ZO1Zem+wNiXHfFOFEP722vPqf27QKJlDV7zf0HvePo +y/0i/tFO6fNnWNMSc/zjaJrAA3ihHt5bvHBS9kwvkih5QMVZoVsTqE3jipO2 +XkilssZNHbqUS5R4gw6oh/dM+fcXn1QjWT5nNXBr1CBdHqIKzHAskD6/fATf +sgs+xgs+LRd8A1/ApzRBV9AZdARdlwm6+Ag6AU/gjXEDD4wD4wKf3gq+gS/g +05Td78st+GCkYhPmZBo6/hAVEU/83mVpubjJweq5ocbqUVffXqN3BRY5VBt0 +mHYfyVs8urU3NXlfqtYbr4O06ffG7ifePaRd+bpn39RxHy26vKLgYZ9Acqh1 +NfpOjl2U45e5S2fkeEr5j7rt7uZhT6minbWi3YvP6v78YHAsHb29vVi1Djco +85RdR8Mex5NXh1Nnb91wpwaZ8vz5onYSfdy6qNriI9fo6A++qXHtk6je2aHf +jqx2o05iHHvFuCJv7+31joKozhhj/ruNvGl8wKVyL5tGkzH0050BBb3p6HJT +z2y9o2l906CYxj3uUOPqPy3NsymFRiYGdhqd4E2OAo/NAq9CdfomB3o+pe3N +hrRb3tKPjk86X3tglqd0+OdZJZpVfERVLle/V3V8Cn2q5OfSpp+/xBt0wDgw +rgkd871o2jiFdnbbd3FMp8eSLqAT+kG/u0U/50S/fyTH1g47HUFVIg4v/Fg4 +hP54eS/7jBrp/vL78sP/HfKMUgrUNmR5F0VdqjU41PZYGFUU9f4U7yULOowT +dNkg6OAo6NJBvJcq2jmV0n5m1JR4qpWOZdDXaOre5s2Ok88TaWdQ8YhmmaPJ +QfDNRfDR9232zxWmq6dB8BF8RTto99WOuIiVj9Xz4N/9sl2rn0ILGxrCpx2O +p4LbLHxvLOSgjuA75MBF4A06YFwYZzUH/95fh6XTe/Hqm8+KJtEowWfw/aPg +G/gIvoBPGAfGhXbQ7i+NpnfOvkI9C4bZH/h51lo6JOyI5rs+dGmy0Z7Op3k1 +br3ZiQ61d339JeiutLs+Z5i5I62/K1PcbJCtIfNy+ZO6R6vZi4GTi01NoFmH +d8wffG4Hncp4vaDal3/VrMjIHruS6P6fBX4tcGaP9Hsd32yfMO3Uair2ePtD +N+8UWnuvfMzrrAeo3ZDqLlPPpNDdImeG2m27RtFOG7p9nGAku1nTtob8+Q+t +DKxzf2JBE41ZY6jz0OsqjVwx7nRYDXWef9qAxWddR/qxeIU/HTbbM7eo6Zy9 +oy43Uee4fxrvV3JzB3XO+if/dk/T3ii7d22Q05qu5eKo9docXc808aLSn+vs +q5TOxzUFmm+avumuXH8t6/ZNKr7y+Kqd1U1Ut6DTXO8DXnK9z51hjjW7Q7mG +9wnL6mn9fSL8Dv9uY4YZ8scDWlpq7Mm5b6Np7OSydz9HPKBSBr+2ZYepfKVy +o0+k1JmtzoHtdxxid61YAq2YvPZdkcN+zB+4Q9VPDGo54LA6n/+qS/3KK7uY +qOD6Q10c2j4kw98WPnO6AQadQPd3pjUbqvrFUsHyxpjzI4LodJmWZ7ZdSKKk +ASeM428FSjmA3we6zjLb5+oehWaCL0dGv3/gsTqBvt6tf6Zgkac0asjzDlnn +qfM0aK+38Bt3meXtitV5+cIaX32ln7ZE0BV09utVpmaecel2wlCvo4l11Xcc +ngyb07Ns0RAaYnZMVD6R5WGkJbvee8+fqb6TDr9m15RCyz3uqe++DBftPhT9 +4HfUQzz43667Xl3+M4omCD4vEXyPmVSrcveTCdL/R/2YdvV6VI5W8QeLOxhN +S8Q8xLyE3EKOwSfwjftRaP9Ri/snN0/4v/Is4jMc4FgKEPMY8xr87JVhdi9P +oJVC7iCHmCeYN+Ar+Hz/377pHv5T6X/MEn4bzz+KFnQAf8ame/t9qiZQ6MOM +BtS5lUyP5yX+XDfJKp8o0/hJOSnd/soxIH+Gqa7y7oTeKSr0EOSrVUYYIm8S +3RZ6Ss8r8CXHDHIfSaJ5U4d2b/7rPVmeLOQe88D93uF0DavyhfY4VLr6eXUQ +yz8PknJ+x+Ioy/Jv4yzj1vPd4yXed4SehN7E+M1kyJlCzQf2Xl/h3lU69SFs +eEQBpZegpzDvoQcgz4EZw/6i5JLLHZcTwLdbV2k8ePhJqtnSefs/G0208p/K +T9u1tT6fXk3ooTMjXMK3xat7+C16VOmtoosH9F1dU527fWqWc3UPJeYhyi16 +Tskt6AW+W+adyhea7rJyTO09Jvoo/DGqf6LhxkkmenNoecqnDka5bmIdxbqJ +dRR4GgTen3+YOLdkcZWXs0qsW1jH0A/6RT/oF/Rv/yFDER+hWxeXl27bwfp7 +DmkXMwIhp2j2rX4Dmk9Q3wmo7ldlc8N/1HnusOfvfGqdU+e1Ea8evW5jzKty +BhlHkHEnIWeQa9AVfET/iMsEmuNA6nsLiIvAr0V/Z26mHGheI0jGDVCO/u4u +HD7Ps7U6f31ayAXiIoizVD209nxkovquAeIciHuA37+b4x5PyG3W1uLZBvB8 +H6OUK8Sl+HcaHmSow4nqXIeH4AN+1895OEg+gI4lsmUInPqeA+j0fT4ZyLnW +lCOZ3WNpqOCLvq/jTSXFug86ohx0AF3Qfrjg+3hzvMvL6juFsBtAJ9DNR/AB +fPm9ZeEX3d/tpVl1zza+Wu44s3fOSX1jDtdlM1L+scW2dC+f7p+XXvlXto1G +uttjjsuDcDf5dMwVlXm34x26YlwwPV+m65R7+8JWZa/70w8Z5vTIGxS0aUcW +T5/HNLbWsnQRuEm9r9k1z9sslL6cKDFwxG/u5C7eOybaySreQzulA+q1fNNP +PeeIdvxEuxN/epXDvYx6ol3081vFQ0WL+yTRgW0Pbh9wTKD94tlE/J6Fno6Z +nGSkKSU3BXY6nCKf+N3/1AfDh/JR1DTC/fi4IrOoyFdDclT7dLlxj6uWu4gD +LfJoPOVWVwON+fPnLkN7ONOajh6xwXa+lNLeeGz0TGea0Xr9g8LDAqjQrt5L +Ig850zfXj1OdvgXT5c7ec0qFONOuGXVaL3UMpX8K96vWpfJFGi7amS/abXt7 +/f6+PTzls5/jnNr25x9Q7kJ94r6tv03GMz4pKyY/IMc5S44eDL1NL0W/68Q4 +UA/voR7e+/D6qJfHjAA62b9qG5OHrxwnxo3fUa9iw8frOlVLl6/kNmO/7QiQ +eAAv/I56GwVeuwWeLVedr/P4iYmGncq7IO+NUGq4bcSQc2Hp60DWBb80nRVK +fwg6g+6egs4/CbqXr5xnl8eZZHq6Ja5HrbVRFHqv9OPX81LomcONyPkjo2h3 +xZ/beX5KpmiXLhv6l4+lmiFT783MlUIlrrj8XbZULK3tnxZ071iifKIdtIt2 +0C7aQbtoB+0CjxYCL+ABvC6b9Z71d446mPcT7Alxecy77Du7f02qE0PVVtfY +snbgGrG/EkOGzj0LX/tnP9Xu6VMvaUoUHfbruPHfkhcIcXW8P+qr8+ed3eKo +VVK+9pdDtlD3W4aZZfrEUV33Rbdajd9KG8b2PRJ2JYY6Nmm1b95PF+T+2OcC +JfMevrWZ8h9zjupcKYHK5+w76KXjdBpy5KeKx7LEU5+5S34bUeACnfq4K7h7 +t0SaF3n05055LpCvb6FmYduTKdPi8tsTc1ygIWmDH2QJTyUff5fCq0/covnb +jtztZogl75yfvyTOMVD2on23/uiTQNuKbJpQ9bInzYwferB/jniK8hvWpNiN +e/R1R0SHeYPT7b8ji2PK2hvoYdtfP+0IS6UeRfYdvfvwHi3PCNfGR9PSul57 +NvR7QFlcWt+f/GMyNTKUKR4adp9+yHui7oJeiVS0bptb/V4+ojeDupdxfW6i +R+Mazn46w48K/5j2tHB6e22vBrtd/PiIXF6mTp3hHUPTArd8ehTxiB5+Wbq0 +/chkyvfkypSxC9P9n81P2lefbqImWfdk9x8bSJVKvvlwfbSJJi5eUNxrcCAF +vZ+bMu1FKsXWG3S1zcZg6lC0cZadBeJpe+nK5UvNDKZDF3vsfn4qgT4HZRhw +Tymyu9uzwwdM9OrR6KzVDzwhs9lQ2ETmcHPXJ5Qze+P8h5+n0qERk/f8WjGU +HASfwXfIBeQEcgE56Sz4+o/gczchByOFXBQRctBNyMVCQcdlgq6gA+gyQPAd +cvA1h0UuICf3BV8XCD5HCj7OEnxNrv3hYadrnjRt0/smne+m813QBXSCHEGu +Pgu+Qw6KCD6Crw0Fn8F30BV0ziLkEHKZX/ARfIVcQk4hV5AzyAXkBHIDOYoR +fAbfmwq5cBJy8peQC8jJQcFH8PW14Dvk4KLg+yUhB9i/nlf74L+v5psoq9j3 +wzqNfT7AcVezOa96ZP1dsqVlfhvXboKJhnzKcaDCbgf5hB6CXnIo7doz0W6f +zE9waHDox46VkujNu7n9PIwzaPToAZmHt02hw2Y+Lqc11SKirzj4UMN9fVKu +PblMN+3PX1zwUd1TmP/v+R9n7XhEPqVrL3rvcIUeRg0sF/FI3fv36Y/3rU+N +DybjpMgcJx2u0m+LnsTYHVP359eevOJX/+6hVGvz3VKljdekHXdLxAWOFBl4 +qspCdZ++x4H6pWq986CYeC+au8aLbi38s3rvD7dkPsww90HTc/ZIt4u8shfd +3tCbTvT4+9qeGUm0KP/upmF37km/D3Ye8jrKi/3cMXX/etTWdIsC81aicsdU +HGqGiEu1nPm5xYHlt1l+W5qV3/NE+DnzBV/B50NlM/ecO8OB0hwXj92Ubo8u +Fn4CvzdqzjH/+RuGRNHH1FWLmjuk0ASfFknFBkUR5erc6GAPR3rapc+Cl9OV +H8HvkXpz4+WlcTtiyC4ga/gp3xRabn7G0IdfdrQM9DxKU/YXvW84ou6RmvGk +0KvWfiouiDhhhYKWdQLrxtjSC9IOJafQx1aedl4N4ilh6a3eDdOO0bK8NVtU +CFH3Tr001a9VOqe6BwhxxfmnZzvk/CGVDr7Ncaf3zvR1ZWDxQ3Xij9Mpz80l +gwure6em5uw/8V2rZLrfvHGdeUUT6Phrxzy1VyRTjlX560TtT6JexevPn2VI +pslFypR6dukEDdlXrUrBXuq8ibF8BgVTKUuZi8F/L7lEx2v1mOIwy0jdXrpv +P37ek1Yt+Pr2n2VGevK829tvMdepVanbz4teMNHbB13zLNx5n0zx0ac+bzbS +7JpLrkbPuEMFCw5cUjHERBW8AsYtuBIg6GeknhMH5ylT+glNmLo3b1E3I5Vz +zVY/ckYo/WQssP7pU5Uv2Ov6IIfxr7wlvNx/eM58q/wlPMSw7Was/WNptwfe +/PFewuRnsvy3DPE6GCLhwsc+19x5Wt3znnhxT9O/rir45LiyA899U+f2V3lk +BDKiZfnQ2abNJyqqc02fvOyH1fgQK8szvOzD7ePke2jn33EDchc9EE2lLiTU +GlZH3bd/d/OWbHvHJ8hxo93ag7d5lFn3jLLmytwjaWH6PNv/raRf7DOaXHfp +jOL5kmW/8j7BMs5PskXEksvYdp+7z1D37y8+MLLltvVJ1IfRsda3wE3rWt2h +pZP9/9jslEJlR2wpsT7xLm0emqtIv/qpVnT+nPfBlN01H1FKv16u+cunSrqj +vNSboTk6vnpMppW9Fj3PnmpF90xl6n+K8gqh/DvO/VQ/TvEB5diPO3lo8Z81 +r6VY8QX7abdumbJM+GKkU4JPKM/eM2VhyXeR1Lrtbw/m1jJJPqH886TbNzt8 +jqZnFevt/ZKu74Nfeef8+WM0Zb19LGDzTJPkG+q3drw+t3apOPqnUZTHLUpf +Xwz9fy0bG0sTSoxoc/2RSfIN9UOrvfLv3yZ93d75YLVnGZOkO8pLPPncZPXU +JKLym4b6ZzbRpBFLDfuGGSjiVEjdBqWd6eqKso1u971NtY8eqHBk5ikqvSTQ +ubWPLxXctjg6v/0Fmr03atGyLg/onWvp4j3dT9KoM7uW1lsRQN0z53mW8ucF +2nf6xatTpQIpbnTqjoEvTlC7IhXCzl5T9zWUvdwraXmZJ/T668zbvq0u0PrG +l+b1Xf+Ems8sdrjP3eN0uo5n78OZlN/vd/+xXVWXULpx/8SbEbUvUKHK77dN +eRlKPTfuGxo19hjlNds16n6H9xvOtbhYOYLuu9x3XFfpgoTLZGsz+fdtjvTv +6cwTXKqp+x+8n632O/9rBM27Xq3fiD23JFxg5emBLXzdyZz+dF7dD+F9pv29 +bQFRdOPbAOdRlTzohfuqlxMfRlGz+X88Ttx5U46j4KrZ2c898qK8Tha69hd0 +riLoelnQefWK6bOCqwWS6V3pYn1P+9CqfZ9SsowMpANDWv1VPZ86jxPnfjV1 +65CH9HGrhQ9VBV/eCz6AL3vbXPN4nukpxQaF5ZpaRZ2/eWFepwLpYueZfkMr +zKUvC/ud9GwYJPkGPoJv4CPiFflmhbQ6ni9IjhPjxjgxbvQHvjdfUtUpdsMW +6ldyhvFinqf0TvC9jJCD+oLv64QcIF7z3rwP8pQSBB4HBF75Wk0sXPXfZJrh +OGtS8B8h9PR8P68s+VKow6pXpauPUvfnQ46ydctTtdSTNdT0x2MuUxs8p9U7 +//09e9099GZE1Zy+hZ9LuYKcQa4gZwc2vz01bncyze6WNvzAiXAaOjV3/11j +U2iOgEdOGOu0MTSVfow5tGK3azjdDP91/jVXo4QxHshpwezVcx/7Mo3y9Pup +26cKEeQfnfXR1GqHJPyQyW0pIbeAIYfvhRw/jTjSu8Oai7RmYHLjmKoRtPFj +odLba12jtQLmcl1UyDXgUXETbxUOSaXdJba3TKkSRaUaFw3ZsttI71KXX+qU +Q8l9jJgHb2p0fTi4qAvtH+Mz39cuiv7qufyPcQ+v0JLpY+3y71fz4o6YJ5gX +mCeQpyLmfMBoatX0W8MDvp401byeRNOG7QUXdpocTxfCHA5u+Za+Ti2dvjru +SSrNdHySu2W6vfRgjfHxguVGajr6aNsBTdV3NR4daFh+Q6NY8vf8c9FvaS6U +53rQ4V/jY2iy/8IypX0u00vzehBLjQ2/NU3elkheLe54/TQpjnYnmEZfck+k +63Xt1n7tEUcPDoaNHhmUSn1PXrwZdz2OnKttWVV9hlE81fcAbuz0W/jBPZ6c +wkeVWT3elUp4tcz5x7D0dfr3xd3XfXOlpfN3d6o/QeEBvGZ031zpxoNUalW+ +69Zz+RJpc4O/8zcbnW5nDLpzaNgZ9X2AU5snPBnTNolG5rk0cNgYV3I9vrfJ +fi81buCBcQOPladuz5/vnko344f5FR+fTGeLxD3w+t1IAUPnvcqfnETTxbzJ +L+ZROzFvMI9mCbm2JfeQa1tyDzmCXP0r5AhyNUvwsaTgK/gIvvYWdPcTfLgg +6A4+gG6gI+gGOgJv0AF4gw6Vne0e7Cx4kzqHHN+co9gGSe+Tc4Y0cqx3iK4P +29h+ZfcbMv8/1CNiUKaid6l/vf51qp9cLuXX26yfdtHmdRcLHBxxR9ZP0vJU +nanghl0TK7b1p7ztKh3bc3cadY89uGjhPj9Z/42Wl6ryUAHreaYqjxQw5j3X +A9uFHsA8xbzFPJ0i5i3miZ+YN5gn08W8KS7k+oiQc8j1WiHn072aBW2cpL5H +ADkdI+RW2nnnetao9X47lXs+x9R+gfo+Aez+ccIPQH7dIZGXaBJ+APyCTu93 +tajwNkXqVZxnyec5ZH7jI0ephuBrBcHn3YKv4DP6vSz4nK/KuKQ8re6y+598 +6Hq9jm+bl71K0cJPvSn81tci7xh+JfxWd+HHQj4izoXPnvH4Br2cuqLegsHW +3z9IMu8fukk/FX4r/NIWwk+NyEgLnqfu6YeehN6E3/NM+EHL7fZvbNlLfc/A +8ky3G8t1XuFf051IyHGIkOtgIccYN+izSch1isAD5RjHO4EX4gqIMySJvG/4 +5/D7EXfAuAoIuoPO8j4YkXeN95H/njzwRuX1L+/QEuEnVBN+A/wE+A2Qn3Ui +b/Vs/XLTq3VS9wr+KPzAmcIvBH2aJhU8d7u3N71ra5mnmLegRxcxb4F/uODL +HRE3ySfiKKVEnjv214C/r4irJAq+Qw6QN476OE/w8ktGoOwRJRcp3vjA1WS6 +tnzAlpH+D6Xf80X4QTwvN1nEaT6KuM0CkWev77+5UiMRx4GfVFr4TTyvt6aI +69QScR68f0jEdbIJv7CO8BP/En5hBeEndm1VeIRnoPo+Avwu+GHoL0zkDcPv +hh+O+MNCcS7hhPDLkI/K84w9hF8GPw3v4xwDz0OGnwa/jeeN57YEWuW5HPjN +8KPR3kKRxwy/Dn5e+IEHgy+l+3Ufix1akvljtFUeOPxk+M0yr3mjJQ+6avaM +Aah77+EHwi9slxFOLnOLes/O9y62SwK9vvIknXPqewg7zf3csLrHu3SCy7Ie +pVRcBnEaeS9Jg6NRKZ7xVnnY0Oc3Go394YspkZwytu+eq3v34XfCD/0g4pKI +U2I+Yd1AXA9xPsTx+PcRsk70b7Q/axJdykjLC3pINWosfLTvirpXuJr5vRTa +OKzGBy97P4XHoBJNHdcHkUOtU71yTU8mp425yt4v/NgKT8CISyFO9UPudhd6 +V0lh+R/JlM28TqvvJ6AefuffU0De+rV7sxLKOJuoq+n6gjafEqUfDr8c6xrW +uR/FuoZ17qiI6yLO206sq/y7P1hnEXdEHBJxRMQVEQdEXBByBrlDnA9xP/Cd +f28BcrBr+PXII+tN5HayZ/bUMim0+5c97o8/8+9WmihXgx4DezZKocstfiv8 +bsAVlp/iSvcrTVxz/2i63d0/Im3YZet75s9GTf37+kP1PYYVYt37VtayzqEf +eR9Y08zdV+QzUTOh51E+9+rFe1PC4mm++WmiM9mflo8sru69vOu3OnHJx0T6 +zanlwMEX1L24ec35hCb6s0zh5ruqqnstgTfoALxBB+CN+vb9Jj3ZdU7dA1LR +3Nw5Kjm9yWvDy2Vy3xH2j+W5l57tfpP9/vDjtCbb8kZFZhvp6+S82xMWXpJ0 +chd09RV0BF0Xvu9xf0FdF7nvUDS8+AGPzBeoVEzzlDvh6t4e7FOU6Wl3KaGU +Op+PfQr9floTjXbdTK/XGulyl7Uzsrc3SvwetFy0akhmI7UoWf/Nb1dM8pyE +nh+USj+M7Dvh7lUT4ZxaJu3vPE02xxGW0UsRd98t4vCIs4M+iKsjzo44uoxL +i7j5GxFHh76/Kc4dzRRxdNRHXBxxcujvBiIv6ZWIk6M+9G7JM0+Hzel5gJxE +XHyGiJMjr+xHca5nmoiT4/2tSXey/hKg9IC8zzkoc4lffjpCjfq+jqp5LZYm +th94PaSZgU7+9imtxBz1/QasA1gXoPcPi3WglND7qI84encRVwf/L4h5h3mG +eQc9DL2MOPsbEXffKuaZvEdAxNnLi7g74uyIu48XeAAvjAt4VRZ0BF2xL4R9 +ItiF/PsLoGOcoBvoqJ8LUvc5LhDzopDHGt+c+Zyo96uEs0Wd1L2VPzztePzs +Ilc5LzFPEUdDXA1xLsS9EHdCHApxJ8ShEPcpy+JCD0VcCHmQmAnIKwQ8cG5k +6OLKRrq2L7j+4L4zqHlGem2Z5ZKOr8KH3p36qwftrrm7Y/d6lylu2IVfGvZW +91DOFHnA8GcsPz+m9v4ZBqWHzItCOfJMAYMvsDuK5O8z1HQ/iRb+XWXkhybq +HjinhHEx3+aoezuR9z645SW/N7nu0NLVHd+02OdLeUSeNux/yFl+j7BRPQ/7 +0MOTT74O2B9NeZK9ujc6d0/meaE+5ifyrt6K835yf/HQnOPLXibT4TuXV7W5 +f5sCfojL3ipK3TuH8SEP/0r04RXnpzyi7hnHAbs+pHbivB/kG3YH7BCs+xuE +HYL5flXkoXpkbK8MUvfY3ajSontCvWCqkfnNNc/EQKrinxHIsv6ewWlht/A8 +1g/CT4Df0Gzlxr/q9UukEad7ZenjpfJ6kef7VOSV8nvn6swOqj65jcq7Rx7+ +xa/OC1+dV9/rnPhtZcWyeeKo4uQRz9bHxch9RdPOOrFTr6p76+Jab9tw43QM +XVg26ESBgnfJNWFh0/Yb1b2fvx9a9rngTfW9AdjZkw8FZm86OYGq5D93/Xgn +dc/hCJEnOczPqcOXusn06vWbpxUWqjxd5O2+Xl/l5u+vrL8vsDd/v7QCxeLp +8cySXz3bpvPBv9/lReviqZ85UeC+tHsWDB2wJXuyP+UaNT9TgXPqHtBku5On +5wWo7433DS3cd8Qy9X0A2A1Y15AHO3dk9rkuNy6p73XWyrl+dnQAbTmYWORz +uv3X/ebn7GHL1PcAgkXeO/+uXA/hR5Uva7RLK55IE84Xum/XQuVZfwuy5F1/ +7Zmz6umd6vsAyNPm90DWj146rXh4kpyfhSPHX3JalkzdQvIOdC2RStk6JeSr +/FbdI5j7ROAl5+Rkaffw707BDgL+yPP9wTfTnsYJl6hfv72eY8um0Js71+Pa +BLhIue4ypEq0T96btD/uZt4PbdS9tZk6ZmSqKr8dfnyS2c9T37lauS6hdcUr +Z8i7z67Og0JNLC8yjRqHOQ34+bO6bx/nRFBev1WdjpvC1X37WcU5DZQX7x1S +atEI63vrkNdaxK70tjqB1vfv49xC4YtD88a2U/fx45wA2kdeP+BLkRWr76+e +St9mdpxZu6eRsvxQ7NeJddQ9ibCjYFcVv7Le/n6TEBmfCRrwkNZ8eUZ+72o5 +Dtpwl550TG6T1+kZuXeNiDcMv6fi7+I95Peb3eGH6r7Uqk3tfZd0UvfEm9OK +F6l73sOyepbKvyec5U9Yn5tFu+gH51Crt/uhi09aNFUX/ch8WnH+c1DDa9Qu +d5zsF+PA+c72Oyu7V2+RIMeBceH8ZpprDrcp85Mon9iHg10APV+3QlCdyWVO +UpTYV0M59LIzLXEp9OAYhYp9M5RDL2fpMM876YG6j36b2f/fRv5iH0KPJ8ZS +K/NAr9F1sW+Acuid3vmOfDnW/LKM+6PcMt4g8jHr7dvU60L/mQfOqvvm84p9 +OfAV44t+Onnji7i71PXt8B9b7wqhC8dH/lzwjSdN3XHsivuiEAqv0X36/A+3 +6ce/y756Xy9Cvj/C/sYvXepEUMkpbRt2z+0p4VqVIwu3L+lNWfPFrH7fMIJ8 +7V64BW2/J2Hvw5OCe168Q0XFvg7awz4e1seMrPW1rdW9653MfIygr4Uz3R8x +8j51FHCUw+QC/fP4UbFuY7y2doigkf/8neOL2yMJ19l1b13VDf6UFNWopMdg +dQ976qCsAeP7RtDkpz0bvTMFSLjz9vVL5yYHUsXPzWNejomg6bNHGNcWCJbw +hNZ5U2sMfUwugk6dBd1CBJ3+EnSrt2BwcNIudW+7xR6KoIFrcm+zj3wi4eNz +306aXPYpdZvSf1tP/3R8pvhNr+sVQhs6Fe84bn8Uja7U/8nwYWHUvr1fzmbv +Y8g9x6rGpRuEU9fw+WsTe8VK+P7VVosyV4wnf3NeWzjFm/MRFNz5YM5H6/5I +pI+xjdPybwunjcXG5K5ROEnC4ENBwWfO13qCr8MF7Cf4mkXw1SD4Cpjz8b3g +WwfBtxjBN8AjBN+KC77VFXwDDL6BjxMF35IF37oJvgGeKvhWSfBtkuAbYPAF +fOor+NJD8MVJ8AVwvOBLT8GnYYIv6wWfoFfeVrrmWiI6inKn5ujgNy6Riv+5 +Lmx+9WjKN2Dcu09ZkmnIyp5zwy9G0V2X00cO30qie+ZnFF0TfASfrzE+g4+2 ++PxB8LGL4PMHxmeMC+PEuDBOjAvjxLgwTvg58HvgF+EemezC74EfZGfOJ7km +9SH8iKYuljw2/L5Q1MPvqIc4B+IeuEdG9/c9aLzwY3AvCsaFe0oA494QwLi3 +AzDu0QAMu2iBsMuwrpZzrPtHx/7LyWNkjTX926v7/V3tvv7r0s1d6mOMb6D5 +3MZl6VfBz3oj7sGBHQ28Y4XfhXbQLtpBu5UvHcjqmuMxbfs8otfX+p60sEQJ +w+t7QTTnxIrE1+Vvy3tg9Paj6LKw02FHdRN2FeKP88W9Ht86WOwq9Ldzbdb6 +AT7W99w273gm4OfKN6RfBj8tn/DDYJcFiXto4H/Bzj8v7H7EV/qLe1xg9/P7 +/6fk6vt1R1dvqiLijtBbsPNui/XvqDn/01/qIdjnRfqvmOeW9JC6CD/tsvDb +9Ht+1Hfp2gg/Du2g3R9FO2i3hLhXB+/DL1go/ATY361Fe0nCT8D7X812ufpe +AOzvCrVC3vW65E+3stWYnutoul1d+PztKtse0kpDr9jcv3lS2eJFe7jneizX +fehJrPuwA4Z0vZujxV71/QD477WnFauye2YQVRd+pbvwM3GPEexY2AuVhN+J +dtBuLdEO2sW9Qni/8837rYtNT6a2vwUNXLNenS8+L+51eijsUNilsENhl3pF +tai+66MvtTjxT1qWSc8kf2Keh5z7pdAzam22I63v0T/SZ8/Cd7nV9wZgZ8Ou +hJ3J7y36XdiVPws7k98b1E7YlbgPBfzFPT6wK2Fnwq/CPTywY/tnuA31Yim1 +46zJ9b3V9wfgN8OPRj3+nQK8J+3vjHTes/F0IymsQu/26p7/zRnLmIf6HgH8 +uUFV+3ufPxFLI0UcoKmIC4COoCvoCLpGOV1d/XeXaOq5etrbQZkTaeOWQieS +56h7HeGXw0/n9yrBT0d9jJt/RwF4wA9Fffi18HPlPZ7Crw0tmr9vcJiJnpmf +8bT/6J5DcYtN5GGs4VW7YIKMOyEOBXk0iXvFEIcCna6L/Vh+j/oGQVfEiRA3 +aibuFePfr0IcCXqrstBj0Fv8+wU3RRwI92KhPcQ1EOeAPCCuIe87FOMDn/l3 +/3APFPx6/r2CM7UzjZgwJ4XmZrix+dW98+vnuk5/dc9EkaMyfU5ITqTaIi7E +v08wV9zjhTgP/17B11KWe7UQd+HfL8C9V4ijoBxxB8Qh+D1WiEOgPvDg32EA +XvCj4Vfj3ib+3Tr42Yh/1z1df96GsynkIfx8/j2Ev5rsjDrlbKK8QU0WHz+l +vo+A99AO3kM7uKcKfjLGi7gG4inYRzF0/RCZ44KR8o3aUCt8+07Zbr9WNwtd ++LyPdl5pXLaen/rOwINXF3J/WWP9nQG7Drm+VV2xleK3rc/eu62JAttOilhm +cpT9VQmM6Fd72nG6dylH+gqvvnMQIOrhPdh3OGe9cM6K0mF5j8h9oBKiHbSL +dnxFu4UEHsCrp8ADeAEP4AU8gNdagQfwchq0uNSrq6nyiTgT4k645wz2H+j9 +WsShIDcNL0aPm3LhKhXNSGtoZv19BU+hJ6AXoCdwrxj0DOSpiYg7Ie6RaPaD +79LZ4HqGFQvUdwwQhwwScUnoyW9OGXE2P0pNsF8x8Kj6HkOiOL8Oewv9NRBx +LMQVEWc81GJSq5KT1fcYcM8Z7Bm8z+NciGshzo64e4rAg39XAnjNEHYc7LrM +py148O9KpAi8oD8Rp5dxdGE3lRd2Er/X9oDAC3zj38UAH2HXws5tLOxazMsW +Bx8HjfA9I8+LYR+0mNgXbbX9rwc1QtPn5UjHbEnXztBkMe+hBzDvMws90HzY +pc67J8yggKuXhvWubCTjEYtfwb8bdkv4GUk3ypw9cm4XzXgx0mFAjutkbJAy +dlnQNjL4Te39rMYdainsIm9hJ7mXv9i0asEUyrm4fpFRN/1oRqexLoEBobSo +84nnWV+l++eTz3V4XyqM7oTer7KjaBQV6bnda8ccf9p1+M6tLwNi5LqOdd7L +M1v2OrUDKTDPs4uP28ZSv4Tuu/rNe0xlDnz5PG58ul3kPm1Rtj5PaObvDfe7 +3I6nQQfuvhk8yEQF8jo6+TRIolyFNkXZNTVRb8eLvxYZlkIl+3+Med7uIi35 ++mr1mWpK/51ccYp61ntE3mJcWcQ4oSd6PxuRNOOTuh/+q2nfD9XT7TSca4dn +iHHeFuPGuDDOxYIO0wRd0H/RstV/eJU9WMIrLp+8ty00RMLIJ0L/yB8CfMTw +s59bSiRlLe/9xilZfV8945aGkrmeSnjYuiRDtUeJUg5bTO106E5p6/ueC2dM +k+BzVGlJvq8TApPpWZe5v8xODqKx/4x9dCvdvhltfkbT2FVbDhYINFH2/lUe ++kbHkuu+MpmdT5qow62xW4NfqfvzM27b2ZvFSKXNeeZG+pjfcu4TfIcclBZ8 +HSD4/H8AfaocZw== + "], {{{ + EdgeForm[], + GrayLevel[0.], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFUrtKQ1EQXBKMgXvAb/A7LG1SKGhAMKKF8YVXzfV2SWGRbxDE5w8IwUge +vfoFRlAsTBdSKERIQEtn2AGLZffs2Z2ZPXtmy0mxkjGzeVgW1s+ZfcA6SDZh +Cewb+etgVkf+Bj5GrgobIT+B1RB/mdfWVP9r7l/M68awGeUmyleAtQ7MBP4e +fYsQMDTPkTsVxw9sAGuLl/zn6LmDf8ibXSA+Qc8l/Ftk9j5l9gp/gHMJ+UP4 +FLaB+Dg4D+NUHE1ppvauZingvga7xflIOqhhIetnxqn6qPk07/kd4PdyrqGO +85Vme8T9WXDMYuRcE73HMnItzdWRhkS+Iz28b6uGnudP8/doK+Zc1EQ9Xe2C +OGXwLoFjMzge90vMreDc29L8LB3cM7Gou6S/kKivrzdhLXs4Y0F51nHunnDW +gt+Vgt8X1Mtd8R25vyfczU2bZSLf80j/pCUOzkVM1pCrkfFZYu2lod0QbyXn +uRiYq4j3g7/PWLjkY93A/v/oUH+zqjfkX2Av590LjrkbnCcW1x/cBoFP + "]], + PolygonBox[CompressedData[" +1:eJwlkF9KQmEQxYdb3oQ7G+ixt/bgBnwoSCVIKfBvmabmYw89iDvQiMraQBAZ +0Qrcg9EGdBv9DvNw4Jw53zdzZg6ao/IwMbN9sAsO82bfFEqpWcvNpugfdBXd +R7+Ae/gntSf4Zs/sAz4Ac97OwNFOvHnG3+Iv8c7RQ/QD/jH+BP2KroMe/gm6 +Ca9kZu/oO/QjOkEX6PGXM/uFr7Pgyqisbx69vtALeBeM4GfUeuIes8fKCL/2 +8JRJ2W48dtMf/W177K5MynYLLtLIrOxVdDGNm+g2HY/dT6ldwZfKk0TmlcdM +zVaPMfzS461upFs1PHbXDXXLcha7a0YN7x+PJjTk + "]]}]}, { + EdgeForm[], + GrayLevel[0.093], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNVM1L1FEUfY4z8xt/8/BPCCKMFkXloibJFtl6opmpaGxh9p02Y62iEe1j +F0FhUdkHfVGb1CL/BG1tCykIIgUxcl/rzuEcqcXjvt99591377nn/jYONiuN +TAjhOlY7Vj0fwggcvVg17KtYK/BPZUOoYD8E/4L93JeSEA4aczKGMNEWwpZC +CNvSEDbhzlbYOfg/A/MBdhz2GtZ80Dtjeb21Gdg8EriL+0+jzu4XdD5u/C5g +bsD/Bpgl+Mp54ZkLc5rB2fes9uu57U6Eu1dQjquJ6iCOmB5870kUYyCqllOw +bcUQ7iB2X0cI/Xnxsor7pXblxHyOwB61v5LR9yHHJHfD2DfsJ+ZcFH4YthHl ++5koHuP2Gl83J+TjV1Y1TkbFm0AdF6NyakbV3GXMXuBr+F5E3E/gfRr+d8C8 +wv429q9h3+K9K8A1OxSbb3QCvyNVnO2wv1Px8ycVd+R6wpwve/8SZ/vwVgv5 +zGD/EPj3sGtZYRh7FPYH1gbEHzS3A+aAnJCzOmvJYQ++a+wDViuvnrTcx0dR +sR5HYUYdkzledd9ZB/XGnj2xzp7BDkW9cxN5no3qy+koLX3LSU8L1gPj1HPC +s498n+fMgW+23FPWtmTtsV5+d3p2+j0/ZedFDPmeybq3OdebUY5jxlN/1OqK +4xBLfVwwX9TO4aL6e7lDs8F7I1GaYF5nou6x78yfc8hefSmK10qieqgT5kEM +dUHtsZfMi/5Fa7thHqghxpz9rzd877hrIf5B1He1KF6nPKtV48nh/lSz212Q +FkqezUvWM3XNO1OezflU+znri3kzH9ZCHVADszibxNnHVDHL1mfZfLIHX4vq +U6YoX8k8Mx7vktNl63x9Jqgj9pS8kB/OO/vY8L/xBd67BezzVP8UxjsRFb/q +3vMeMcRzztnP89Zgj3EVa561UMtd1iE56zHP1M609UMdUzvHPBO15J9OGYv8 +soesjX3hf3fN+uxLpfsDqe5UrYedqf6/3al4IJ4c/gX8bcDy + "]], + PolygonBox[CompressedData[" +1:eJwlkTsvg3EUxk8vWn37/xIiGhL3QQwY1C6aJkIt6hY0bZlEmjCLhJCousQt +TFSin0CL2UQiEYsY7Mx+xxlO3uc55zmX//M2pHOJrF9EmokgMe9EvviOhkQW +wHeeSIlCX0CkUC/SDt/2iTSR6wTfEkXwCEPyEZGMs94EfBHcSr2Reoj+GP0t +xFudSA+5OLUqfB39GnGIPq9Bbwq+BL5As4l2gNwZOM6OLZ/NbIMvw5N+u7EC +H3O2O8WOcfCQZ7su6RkEd3h2+yrzi9Tv2f8BLhD7znJae0fzg7abiAXtzfp2 +9UC90DeX4bPoM+xL0jMHfiJXpraC5ipsnqg3N+QeqSWidtsEsYc+y7zegL3x +3DOP/r2Cd8ErYevVmTq7RlwHzUP1MufMK/1nWfCvZ7cnyFXBuYjd0s8NWfAL ++3d4yzea16jltLYBP0V/4hnWm/Q2f9S0z8yrMf/Y2b/Sf3QEniaGQzZzCjzj +zItP7tmlf9IZVk0afODMa/Ws5OxGvVXf9AD+A8rhUwU= + "]]}]}, { + EdgeForm[], + GrayLevel[0.155], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFVD1PVFEQve6+fe/tvGf8BRYmaAIRRA0hAVkTsDNK4gdWGtHSZJeYxQVX +g400QuNHtBNX0MJEUST2Ahb2VsSPRBB6P2rP8Uxi8TJz7507c+bMeXfPpdqp +aiGEUMNXxHehFEITzif47WkI93aEsGIhLJn2r5ZlTxcU8x77L6IQ/sDezUNo +xLgDu5mF8B25NmDXcDaJO2O424PYTex34u4i9h9h/Rq2gvMRz8nYBfhH8ZWL +yjMPHPWyYm4DVwP78/DXEN8NvwV/Gf4u+NMF5b8c6z7XJ4DjOPIsJCH0FuXz +/jD8KdidiL+I+ATrW1ifBaZ3qHkEteq5zsZhO7AfIaYN+4PAM4OYvanqECP5 +qhdVg5hOok6/9zODux2wNcSn2BuNVSv1mruD6hPPLPI0csVcg70DngZi9djv +/JOfORMXVWB5mCvHAVMO4mRfnaY+hxCzUVI9Yn2FfIuxOGR+4m0viH+eEXOf ++4zZRp6PiNsy8Uyf3HL+zMfarElOWLctUl/sZTXSGXGtumaona+ms2+wD4B/ +ArXu5+rxfEl99vqsie1cJg1QC2cyxbxNhLHPeb6ea/bNXHyuRKr7xeR/NsVO +eI+/sF7H/k+Tltadi9+mnshrt6mfLtiQqUfOfyCVTqiXHueDGuB9csp5VVNh +f4yYuUT6uFKW9is+S+qCtRlPTOyf8yV/rEscLeeCuboczyET95wpY16a7t1w +XJwT/4WDpjnsS5WTvHA9mqrurOfhXIh/LBUmavZ5Ih0Po+/tSFrifA+nyj9i +0h91WIMddC6OmfTF2Uz6DMk7tfTBZJcS9V/xN2fK/0lim/b/n3h+ZNLuFmzL +xAF5fWLi+ampZ/b+xlSr4Vw1XBvcY05iIyd8j/5p3cQLa+434Wk6/8+S/3iX +/Z26idghEy6+kX8BQeme2w== + "]], + PolygonBox[CompressedData[" +1:eJwlk01LlGEUhs+MM+/M+8wL/oIWgRKGXykSFBpou0rBr12htivIsrFRB8mN +btSNFrjLLGshqKXRD1A3/gUtBTXd97H2Ot2LA/f5vs95znN1aLj7WdrMWpAM +ci1vlq8wO82a/SqYVaPPpfBhux7MsrFZDjwQmRUTYrDNUGCf5AvwB2QWXINt +BTxJfhvxS9g20Q+R1/h20H+CV3Nm9+h1k5h6ap8H1apEbyb3GH03oxzP7Q/y +fYdTK/6InBj9MXwm4HMfzh/TqvkAvEH8OP472NbBDcgV5qyiZiN4Hmn02fA/ +p94aNTYj5ezh+xHE1Wf22f+hr2VU46/nYruNr5N+n5nlXdDsJWzL4Alq3gKX +qLlA7XIirr4z310Zf2uknb1HP4XzSVYz+WwviZ8idpCYEvgNMhapptfeIWcx +JU674K9Bs5bxb4GHY3HZg+8n+E2T05/Wm3zD34R+Rr8W8tvRnxJfxLdCzBPw +NjkPs5rRZ63K6xb8TY6IH4nV6xExfXB/gd6TVk4veq3vGH5dxNSBT/x9Uprx +DHw3qLfP0BHU03sfYPuD/iXodrym1/Yb8Vtxjstw+x0U6284CLfFRLv2G/Bb +OC/olv/3BL9KtEu/cb/1roLebpX4zoLEse/4LbFNQbfiM9wAd8Sa5QJbitit +nHbrN+O3M5rob/ib+dtdAslda0c= + "]]}]}, { + EdgeForm[], + GrayLevel[0.217], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJwtVUloVEEQ7cn8P/N/zwcXGL3kkhBRE4lC3J1IVDwkmLhFLx5GPagouDCu +I4koegkk4AaChnhx9Khg4sGLCAq5q8Rd4hLRg3EB9aTvzatD0/2ruqpevaqu +X7fzwKb9Nc65Iaw01srIuTwOU2Ln1uWc6widu5g498I79yBw7jn2qdCPpJyr +YIVpyXvh5BBsyvi+gzut2LdA1oZ1AvZ/cScHfwWs5fA5lHXuNOR7Ms6dSXS/ +GMpma07nYdy5ifUYuBbA920vfz3AuA76As73oJtDG2AZwflsJB+lWHeKKdn3 +wP/VQPZ5+A+hm8TeH+vODNh9R6wE51OQP8Eaw52n2OenhZlxlgJrMzAvx/4e +unHIJ7D3Qbca/gtOWNpD4Rkwjvqwz8U+iHsVyEcDcTjPiQNySh952+mHcZgD +c6TvyVBy3l1l9ozTYbGIkxhnYv2B/jz0TZCvCWTPen3KST4b+R5H7nmcN4LX +IFQuxNPt5X+zF8fthqEzFB7yyZxYc+b1Cvce4v47rxqz1gn2YS/OzyFWCXwV +kc8R7F2wrQtk+zsrDMTyyYuXk9YvzIH462Gfgs1LLx+U1zrt1Vgpnaljbo1e +/mfB7ofV9HiimjNPxisnyjWDuG+9sDTg/uFEvkPrH9aA/UGuR43DZYn4aIxV +34eGpxyJr0vQH8gKu4+FiXH5TZ+d1rvsM2IjxmuR+BwDljL8NWbUJ+wXfvN8 +MtB5ptWkKSMcLYnOS7A/wl6bFa6unGKtx744UV9Oj4QlNDzMK299+Mi4TUwW +WD9QVvWL84VE2JkrfdHnv1jvhzytSBSf9+lnL3Ql1G5frDfM3rkL/becYrD+ +nTZnOG/Wh5oFFcRoicT3BDg5mFZ/D9o74xuhjvwyjxL8fLT3yHf52XqJPUVu +yBex0o7vh7bj1g+sD+vN/F57vXv2Nzlkf5CDD/BZE6sP661WPCPdav15lz1E +Wdrkx6zn2fttkK3Fembzipywjr2RdHcR93pW77g51gzjzOK8Ijft1jNl44by +y4nqyzrvisXNffg7GKlX+r3iMB79VsyeNfhlOtZnwGYgZ+Ei6yX21JWseN8N ++bZI86sB5+2hsDEX9uOgzZxbWdVvA/C0Rpo7WxFnhs1bzt2WWPky74LNUs5U +viX28kKcd0Ty99OL5y6bn8TfapwU05qVnIfV/4zh6bH/Ds9vbC5xPn3xqv11 +61P6Ig9fvfzwv3corRwr9hZY01qrB/m7gfy6c+KQ/7pJr/vkZiIQTta9y2Yj +z5yz7K+jiXiab3Xnm2E/ToP+PwVz1C8= + "]], + PolygonBox[CompressedData[" +1:eJwlkztoVGEQhWeze71PUItokyYYwWRFkfjAuIEkYiPEaEzWctUiCoIbSXxt +iKAogmjEFwgqpjFaKiSxSCMWgr1CVHwg6ooWrmhj5zecYrhn7pwz/8w/87ce +rA4ebTKzXqyAXYjM7gAm82bjsVk5MduOP5Mz6yRWxJ8Ct4RmC5nZBjjdcAcC +s0f8O8W/jPg/NKfBq9DkieewJriL6M9w4DPib8FZKm6Rs6vot6GpoF+3xKwE +bkPTjvYYdhj8BE0N3EOOx+CNcJ6iLcLfBO7KpPV/WzP14L3sp759nFVP1MtL +zvwOTokv89xozsJ/l6hWr/EutbcTX48/it2mvolM2rXkr4Fn+ffCVNMQ+f+g +X4l2DP8v+Lj3Q+4WOOPgyUi1+x3PET8SiztPfJpch2KddQ/OCHgYTl9BM+hG ++ybR3QVwCsS3ZOq9TE+bwbtTzWIG/VXiq9G0wt8Fvw9/D/pmuPPYIHgh0ll+ +xw18w9bgd5GjRK4T5LyWUw8nwVX4HeAaOS/Dnca/BL8Z/U/8NvdzOrMD/waa +nZ4LznXwa3IuBtoh36UHoXp3Tn+qGr3Wui8jfol8jUB34Hcxi/UQHybf+Ug1 +eC0T2Cj+RWxHXpxOv9tQuxWQYwX5xmJpK/hl/EaqmN/JL/DSWL1UsDJ4L/l7 +C9oR35WbmXrpR3ML/In484J6/gh+n2jW/u8DuE7Oz4Hu8Fuqmfns/A5epZqB +z8LPGEo0M5+dv4GpWG/M35q/qd98l0eatc/IZ3U/1Kx8R31Xv6TaTT/zK3gu +VK/+Rv2tDqSq3Xf2IbErie7Od/YAuc9legs+0x/E/gOGZ3cq + "]]}]}, { + EdgeForm[], + GrayLevel[0.279], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNll1o12UUx5/tv+339h8RiUVL0OrCZcPEMlrG6iacWkwtHS5srqgurDE1 +SPAFzRkibLOo1gsYdDEvuhE0BiUmRCLVXabOq6guVoEWmKiofT9+j9DFw3N+ +5znPef2e8/zmDAyufKMxpfSLVk3rSlNKrSKGxbxQpnRG31/lKQ3WTGfiX9J+ +UesByXdnKQ1oHdf5usz8b7jfktK/IXNE98d1b3aR0lzpnC1+u/Y+yX0v+vOG +lPZpHRPdlqyfuye0JnR3RHdnFNYLr5Lsn7r/o+jPcsteClvrwh/84N5M3ZmU +fLvuT+j8gM4q0Y+LXiUd2yW3FbuS7Wg0PZl8/1L4gO9za479H92ZEu+o7G5W +jGdFH5T8LvGHRA9rn9doPjo7Jdcluqc0byr4f8uPe8ltPaUfmhwLfn7X4G/o +C5lj/U13P5D994lftubkLlaD4nilcG1e1X5YsidFdyb7cKNm3y5GHOTvqnTO +ktwWya+X3uXif1G3L5yT/wnd7RL9lPbRwrZ7qpR2NNkH8vMxeQuZMcn0S+ed +ue9uDT+vab9ec97x5Vr482yDafgLCsseyVyrZ5qcg9bccpd1PlM6L9f8fbUw +faWwPey+qzj+KJ23XXX7WIs6TqtGh7RGtFJpf27PXedtIUPdF9Zcl3mlc3FK +8e4ubRNfBjP3Rl38v0pjC2wWlfFXan9eMqOys0zf5/V9vlk1rOwXMYE5cEQ8 +YIlYl8dZo+LZq/2+3LU/obVM8vfofqv0XK/cL9SY+i5SnB2y9Wjd/QqfPtqs ++wvEf6LufKIbfcQHJoiRHvmo2T1LrsghNXivdI33a28Uf5tk39HZsHRtkM49 +dWP8WtRikXxeI5k9uWOCR03JNXbB2XjNmMAG/t4IP9bGjMFncjkZ8Y7Ktw06 +G5Dub1s8F8Dkc/LpSdleqf2T3L6dEn1a66j4P2s/l9neft0dLV3fIckeb/Js +IZamwvrOltZNnDdjbHQe8YcYN0Zfc45+7L1dmj8gnS/KVn/MPfIxFPLkfkfg +itxCE3t7zL3tqmNbZhr7xEjf0eePKb/z9d2p/UbESKzg6GTUGIzgr9Sk30v3 +9a+l5wi4Bb/Ug7q8SY8Xnl/M4JHoBXD4dcyvkbpzsy/0nm52zHwvyVwn5urS +zD7s1NqiOwO6+1bd/QXm4ZMT+ORyNHoODMxvds+CkbGQhz8YPDAzHj3xYXJv +dgRWyQfY7Yjzu0KGWQqOyDlYG4m4yCU5pca10EMtsDkWvbm68ozapNz0il4v +/77MPPOgyd22yjVhBmP/wRbbI8f0DnaoYVvMaHDX02ysMxPRcTpZhpySz4XY +o6dy55Z8kaub/maW+amy7+B0Z90x8V4trjy7mGGfBqbPlX5/0UWNqFWt2TTx +Mo+oC/vSoImfedIZNeUMXn/4syTez3WB7RmVdd5ReQYwU+hXcoAMeQAX6ELn +VGk8nSmNJzAMVmfFHGOe4eeSiB1b3fFe0/fMR7BwMPNM4n0gN+SIPOML/xbE +OFO6WvS9KXqxO3xGV3fk5O7KWOPdo7+Rp4+wAy7BH3Xr+t+cYsf2YuX/IXBV +N5agO+JtXBN1fqRubDysvZd3kLPCmGS2Y3t14Xl+W+H5xRxbEbXrv5XzFucf +/6dL/xcdyF3H6eil3rAJrvpL161N8a2Q3hd0b2Xh/kY/uNmr+0/zPxBv6GD8 +w3B+KHp2JN533vnxzL3YHvr64l/iZX2/Lvqlwv8ya2NOkse+oDfm/pcak1+v +Fe7T+wv32a2e4D+DnBzLbH86fNid+3/icGkcERd2/wP/5UW1 + "]], + PolygonBox[CompressedData[" +1:eJwllVtMz2EYx9/+/z//36k5RDNmctg0siRCIm7c5FAxGi6qhRu0DjZtHVbE +XKAYYraYC9xjNlrrqhmuSKdLXDhs0gUrUz7fnotn+76/73N6n/d5nt/yyurS +MzHn3HEkgQShc78B7bOd83znGpClKc7t4VtF4Fwq53z0UmfxHd1lnG9zPh13 +rgp8FZ1GdJuRWs+5o0iSAEOcx+Ay0OmKmY1s3+NjEF8Z8Jnwm/g2CHcYnTzw +MN+WcO6FHwF/RHrAMeLF4dcgueBs8t0aOXeSczXnR9h0JZ37hf4w+vXwrzyz +ka1iKnaItBOrEr4B+9vYZMNlorPStxqoFnG+LUD3CXwxuAt+VBj+KPgYUgJO +C033COf9nAMkFTxJDtXod/pmW05NO8BzkH7wC2QH+RVjfwu+n/wfo7+NnNYr +PvbpnuWk3E4h1+Cn+IaJa+IO0+C58OnisWnH9qxvtawgpzIUe9AZSVhNVJtV +8Iti9kZ6q+dJ0y3Exwa45tDeJiS/JnA+33bH7Y30VrnEWIttFvE2gTvx2YJ+ +Dud6/C3E5im2s/GZDm5B7oBXKD6xFqhnsC/CXxr4XGRv0UeMcfjepPXeXqQS +3xsji6U319tXEWNJzO40Dl+XtFiquWo/EFht1DOD4Am+7SOfCfi/4CzkheoH +fw3+ALKN807OB8F/8Pca3Z/4/Enuo3zrg7uEjxWe5ahcdSfdrY383ibMRyv4 +Cv5vxu1Nr4K3R1YbxVRs9Yh6pRCbfPxdD6w3VMMb4GdJ64VGdA7h/xz6rXHL +Sbl1J63XpzgXwM/HxzR4HTHyiLU5Mqw30lvlRzYr6zhvAdd4dnfNrGZ3nme+ +/iHTxFqNPMZ/Lfx5+Ci0XtbMaHZKAquVclJuk77VVjOkWRoLrXbqAfVCpWe+ +apC2wN5Ub6ueVe8OBTbrqvE9dNsD09WbXQB/QvoTtqP80HKcyTVud38Kfxdu +F/k1e3ZH3VUzVKDe8m12tIMqfJspzZbeSG91MbLZUU/+wFepb7M9s/PUq5Ht +EtVEtanz7W0U84J6kZyKwB3oPIgsB+VSpvr71uPq9XJsysD34d8lrGe+Ea8j +sN2pnlZvD4Q2K9qBH8CfA5tF1eALuBudNwnbQdpFmlnNrnaUdlUO/MMU0/mK +fgq8i9vO0O5QD6uXLyMxuKnQdrvuUB7YTtJuUo7fOb/0bJdrx57w7Y66q/4R +i7EtDqyXFVOx/wNx5sAp + "]]}]}, { + EdgeForm[], + GrayLevel[0.34099999999999997`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJw1V11slFUQ/ba73f1+VmNoTSgUwdAWwRqkoYRiMAFjUXkQkDQUWrUN0QcT +jSIkCiJggRIF2hIC3WgBiUYSfaABf5LaxoCEJ3mgBRN9UiAxFomlD22R4jme +48OXOzt3Zu7M3Jkzdx9ufWPN60VBENSmgiCNdSQTBPW5IJgLeiboaaBj7A3i ++wm/L2LdB4USCJ8FfV8keg3WdfimgS7B2pYPgjLQT4VBcCkjPnVLi8V/FvZn +JNKljQfwPQdeaxwEs0EfBX0EZ08FvR70VtCLIF8D/W7Q52BrCnTrsNcJf6bb +/n7QpfatxP6URvL9kv2nT/RhCvhVsPco6AL0bsay9VUouaGUzqYu46d/67G/ +HN/PoE8gxjz0pyfSoW4ZbDbDvyZ8T+PrA/8Y+H/D9nac84X1O6C7ORsEB7Fe +x3ojq5y3QG4X5N6BnQHonoTsUthfkJb8cfy+DJltWLux/0FeMX8Oui0lPraD +asiXkcaXgf/zsX4HfhPk5mGvEvavZER3g9+G/QT0p7DRmVW8lfjawc+bz1wy +J8xNA2JbmZOvv2ItYD3EfCfKCXOzJyWf6E8v1vt9X4/Dhxj0X4lytML1xjyQ +vob1j1jyCyD7fCT9kkT1eC6rmixN5HMYKX/Up92WnGqYtXyZOrCdjlTPV+Bb +O3Rn4nclZGdhfTBS/eyFzw+BrgD9EtZyfO3Q3QtbGy1PvcGM6HHYOVwkedL0 +lT6vilVTrNWeIsXDOJlj+vQjvn7s3w2Vm4lQ/tHPK7H8u1ek3A3GooNIsTMG +7l9KK//so3vQn4TMZKieYe9MQP6RWDaZg3LsV+M7hd/tkGsEvSVSbcbmVyfq +g2+xvxz2P86oVg/Bzg7QXbFqaYfr6RvIXQV9C/y3Qtk/AHpOLD+3sb+Rg0NZ +1dIR3g3rJ1C+wiLlt2AfWIezIT8KuSx+v+aV8TRHynVvqLPLXc/k0Rbt1EWK +i/F1RDqvE+vL8GcCdicT1TXrm73MO2AtMUd3QvVOIVQ9sa5iyJ9BTbyAWH5A +Xruy0mUsjKnLdG1asdOnYfPZF4fZy9DdAps7M6JbnIedpmuyohkLbffaN/rJ +cyuNc69m1Yu0zbPXZJRrnvtmqDgYD/uCdcF91sa6RLizOdJdNhq7Co73sjHv +orHuOn5fhO61WPVB+UbYqMgJZ4irPIc1zLPmGTu7jd30fQCym7LCLNb/Puux +95eE6mX29FXI98HOENZ/cMY47ugu1mdC1U1/XvdAeeIPZ8X5lGztyCsn72P9 +DfoXYOeTUPhY7nr+0phMXCf+sta/D9W7oeuG9VWfUo2xh/oz6rs2yG8CvTtW +bZY5xrUZ3Qvvh7J9lh/Fetu9ze+C87M7r5xwvjE+3iVnF3uYuqw93ifj5Z1l +spqRpHfFOrc11Ewhpg1APxcJ54ijzD2xhj5GiTDmd+gVIFsLO4sT9RExa9wY +zPuo86wftb+0R/w8nRKeZZ0f9vdQRjnqyGlePpZIjrjGe2FNDrs3btsm8bzX +fPbCCs9D6iSh7I1Ekr9h3H7bvd0J/6uMIcQS6l73fKRfxAfqf5hX/XGmEfM3 +OD/E8kHPKdZyk/nEfmIpc89+4cr8N7i3mfNVkfJzLJS/TcbturR6lX16tFhn +9XvGTniGtkTKdWsknCI2zYhUx7zfWYnsNdufDZ5RtMOcjThvzDdnM23SrwbP +WfrH2mBfT+aEDe/yDZPTzOVMKHV9sUcqc+JRnudnHCN9YF4YF7GiwXixGjLL +/EahLnv+vPEqY4wijvIs8tlnJ43DjKXF8RDXaIM4X2/+gO9sLK1eG471rtqT +l6/njA98lxFn6DPx47h7mXGNFUuuJq1eJp9vk5vFqse6UOufyPPNRPzhRHOR +vZ2K1BMLbZe+DDnP7PUJ3yfrn3OItXYn0bkTifqsx7Oqz3P4v/dNkfj057NQ +/vNdRntjrg3W5FrjBnuAuWfv8Pwx54a5b/T7kO8p3gfz+KJnH2dgV6T8Tg2F +Je3u5YOe+3w7/z872b+ncrqHGvA3harjTvj2i/ncZ89xhvE+ayPN/iVYD8ae +bZHumbq863b7znOZx4XWvRMplnGsq91H7KetibDwVk51VeW6ZB1VucZWmsc6 +r7Ic+XyDcH4t95m9PrfCMqwT5rvC9LBnKLGI+uSfdT3SDmMmBmzz++qVWHh+ +xu/wa8ZA1jP7fMCz+ohjfy8Rf3ui2jvt2TQSqy438k0e6/09J9Jv8jti/Sb/ +QN7/IxwX87e0WDle5PzzHnpC5Xo75D/Ka6buz2vm0+Yp3ytj+jonOyc9/3hn +vLulfodPOt75ke6RtTAaCUtv+x1Y7TlSb6wmFt0wps91Lzd7r2CcaDGW8m3K +flifqI4XRtpf5hifiPTuWIz1yUTxnsipbxY4ln8BQEvEZw== + "]], + PolygonBox[CompressedData[" +1:eJwllVtM1nUYx3+87wvv//DKhdBEhIqVrpLmZGKio60uWvMqqU3kogJaXrRq +HnDzkBkBykoOmgtQwdaqzXETm9aFwVqHeVVbE2yrm9IuXKJNvRBI7PPte/Hb +nsP3eZ7/c/zXtL3d9FYmhPAmL8dri0JYjqA2G8L7SQjVcQgn4I+gq4L+JQ1h +pjiEhwCvQj/Dq0R3Af4y9A7sa8HXY98PfyA1NikKYT/0w/hYie4SsnNgDxdC +WAE/iM04/B/Y/IDuNi8CvwH8r/jfhr4B+gr6LuiL6P+CPo3NjznbyHY776Wc +fT4A/mv0I+CfgP+AWPPwQMIBZAvKNXbsFmQVosE0gP0U2RT6DmQH4U/hswf+ +FfhHs67Jy9DDkX3d513C8bvYby8JYSmYTej2KV9yfxH719HXkFM59cuBScDe +RHYZ3XNgUn0b+jTrHGPob/O2VU7K7Wri3KfA/IPuZt61VQ3+RLctda2eQd8C +3UT8MuheZFuge4j5E9jN5NsNPRZZVwrmGvblYCqhfwbzBboXEusmiLERfhD9 +x/AXsf+N2Kvh18HXk9MIfDuYtfC7yO9D/C+Dz+VsMwD2OG8EuhV/x1RbvnEI +20lkjxNrXexv34LsLP4O4uNIxjU9BB2jL2QtG8V3Y+peNYJ/GnoJsnnFJ2ZX +Yh/ypZi/Q5/P+9vV02bwbfh7A3oIWT+6AWzqsp7hnfgqQr8I3cP31sh3bOxd +MAvQt3l3oB8hRl/ePVFvlNM7+A+xZ0M7o93pJ4eOEtdItbqHbA7dd/if037w +yoo9M4v42ot9p/qhePAd2NSVeEbXoPsk79zVA/Wir+DdHSPmBbCL+JtH/z3+ +qqBvxZ41ffMdzWbs3ZihXucjx1CsAjaV4Ifh66BXI1sVO0flqh14EP4pMGcy +zmmA2PXwoxnbrIc+ic/JnGt4P3KP1WvdjMegN6SeHfmQL90E3Qb1pDX2DGoW +NbPXwQ/y1oA9BH8c+lhiWjOmWdvD64R+j/cRuhWpc1ENXk28c9o91fh5sNOJ +b5e+Ud+qGqgW07wb6D6HP0q85dpJbOdi914zplmriDzLinkC/DeRa68ZugXf +nXgWdVM7E/uUb+38V2DH8TlR4h63omvHf5TxjXwNeiPvWe0ysl7w18lnttg7 +oF3Yypsu8s42x75RulWyWQ9/tOBdVE/Um6m8d18xFVs3SrdKM/hv6h7/32v4 +AbCl8OVZ1+AzsE+m1umm1kIvjV0b3TTdtrLUt0I3rBz6b96XRf7m2dQ3Xbc9 +QZ/HtrHgf4V6ujvyDmgX7oJf0OympvUN+hbNsGZZN60a+kZqX4rRELnn6r12 +RLvyHyLc2oo= + "]]}]}, { + EdgeForm[], + GrayLevel[0.403], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNl12MVdUVx8+95957zr7npFHbhgGFOsLg5yDEocU4yBBJ8A3wBXFIm9Io +Ii00Tapp0dIGjcDY4jci2DCt9QN90NLazmDb0NYmfRNQEpO2Ck9VBkyKUOWj +6f/Hfz34cLL32Wft9b3+a53eVetvW9fMsmxtI8tyres7WfZdPSPaz9TB9qb3 +x9pZtl80X9P+RDfLduj8jTLLXqizbKf2jxVZ1i/6XdrvFM0jTdMv1r7WflTP +K9q/VHu/U/Sv16Z7XnxS0zy3ima6vq2RDgd0/3zD/OF5Ze49Z4OiOd02/0eb +pl2u/bkqy/Zqf5N4tltZNlvfxnX+kd5/oHWj7v1NvDPd/ZLo3tV6TjQPaT+g +b3OC/t+iX6P1gZBzIGw5kLLsX9LjoNavStYcfZur9WrRTdL+LdH9Qd83ic9V +op+aWz90K5LPS9GfFf+z2p/RerPeB3V3vtZ7pNvajvn06u6nWo/zaH9W6816 +vl/aricVh/+2rR82n638/lllfbc1rfNbtfcv6d6v9Nyqsy9Il5+IZoPOE3Z1 +vd+u7z2548Ld90VznZ7btZ+m8yPaH244tiNN58Ne6fuB3vv1/LX2+aj4/Fj7 +u/TtR1qXFtYN2eynh1//p/Ww+F4unS+qLSvX3bVdy15Smu/7ocOIaL4nnr/X +eaXnlO5+LNq54nOpzpeLblnhPCZvrykcm0MN5zU5zflS3T2qs/W6++vaMXpF +ZyuVM8Mt23OF7t3Zsa2Pav8sNSFnTdHzFfG5RPcWl47xJJ1NlT0TEbNjyTGb +0LpR68vif0vTMvEfufWI7k/R2beQG9/f0/nbIX8FaSr9Onofkn/+3HGeTtb5 +Ft1doH2hu/+Ubrsk4ynJWlJYb+r1YGXaCwFuO+8v5GTUAPn/J92/V/vHxO/6 +5Lwiv+AzoTvzqPe296Oi/6w0u0Nar9ezW2cLpeOs3HVNrd/Qtl3U7CytUzqu +KfLk047t6ms7jtQ9cYMGfHiwdv6/UNpPR8JXYxK6TzKOyqbjlfU5FnVzU9ty +0A+7yclu7Zj3Vs6HRXrWdbzOaFvuwsL1Rq2RJ9dGLs5uB+5kxj/25Awx2Rv6 +k1PcuT1ygtzYUbiuyPEzlWuOWqKORir7+3TIuSZy8omm6xts2pSbP/k+s7Zf +Zmh9Vb74jvYP186t1Xlggp4zcfcKna3J/X53bpotmfESXMYW5KE39n49me4b +Wp+vbedvSmPY1WEXGAqubIyavji3b+vk/Tx9fzN3XpJn01rGU3L0fNP4tqkR +34vI3cLvqWF63tkjH3zH1z8vnXdJcg61bNvx4IM86OELfpGLYy3zvvCefHdC +/v5ycqxWd41nk/KoZdkzQJ5UrkdqmVw7kYyxV4KfLeMd52DDZbkxlXj1hj7v +lMbMZ0r3gdmR95PbxgQwvyeZz+RYvxkYCiasEt3fM9uCr9AfDBgOHFgsmkW5 +sYG6nBW9CVvPBT3foOHeSul9CzGSrBuTz+dpHUzmd0p63pfMf7gKTIq7F+op +anxT1BJYgc30YmwBb6ghevSMruPXp3V+YZwnV6gn6KkBfA1+kv/gze7guaph +2djOPWiI2W1t68O3dYENyNogXbfr2/2VMeDptnMAnmDZ7pAD7sFnV+AQOQ82 +1DF7YB80+8MmehB63pEc1xVa76gclxWV+xM0+ODF2nzH5cOHk/vMF7U/2HUs +zlGjXfeO39bGY+zA1jmxEjt6NrG8V/SnS8dia+m+Tu5hbz+zhe7fqfNrtd+j +s9HCGDkrbEEXMLeO/kHebYvZirvQ3NU1pvyQ3EvGg59Ff1gSvgKPwRzowEaw +EqzDNmzsE889pWuAPjlWGlOY+35XemZjHtxcu+du1Xo8OVc6pePGPETd7sjt +B+IOziITnHmq61mtR/S/LF2rzIbYy0yG3/AlNcPdx5N5PRErd6GBljkAvcnJ +wejf6EU+odN0xbVHOl0s/idz+x2fE8MNUVM3RM7gd2qa2gbfwSZ6x0j4EX+e +TManM4HHV1Xu+/T/j5LngQ+T8Qa+8ATDJ0I2uTEQOtMTZ4SsDcmz0D1dx5w8 +Jqbf7nr+ZA69NBmLhpN92R8zEjz6oseBccieV1n/2cEfH4D1yCB3OKde6Dlz +I9fQjdmDmN1aun/QV/Er/qXeqd/54WfqZTDONxfGdHrLUOFeS99h1hiMfn1d +ZT37K8sgluPRZ6kj7PlH4ZjvCRnwB0/QcSD0xAZswXbWoZBFjbMHu7LANvoX +8zcYd6TrmlsQOTAUMzz0b0Ru9wWOPtcyTtKHmc/oK8ypyCZW+HNy3P0kObf+ +kzx/4LdLknv+4ch54jkY+QDmDcf8tyfsHUj+ryD3fhp4Aj5SB52YCZkNye1l +Mdv8sXT984+FHT2hz4rAt9dKYxO+/Uth3EEuPWFB5Xhv0X5z4Bs4tyzm5A9L +Y/vC+Dd7QHwa1FHl/rkyZtZnoifyP4HPNkZ/WV569u5N7tfjLc8M4OvSwGH4 +fBDz8cul5yf+Xaibgeit73R9d4e+P14YB8Hm8ZgPmRPpB/tiTmA+Jr5gEryJ +3eHot/tarndyoxH/g3w/EDTUKTVKnVNnzPeczexad+Zr/j+INfkD7cmYu/jX +WRr/OOTRqaCpo5aJ+6nCMpkNqdlFgb3PFv4O9oOb4Cd9c3X8W8AfDOCfqD/m +QeYk8Gc07IGefxtiRwyJPTlwrPQ8RP7u/9xMnD43u4MD9Fj6Oz5kbhqJ/3nm +tWkxbzEzLIl/DfJiKHKDuqK+nis9JzZjJicuKWYAfD8W/v9Faf78O54On9xf ++z8WP56vPH9ti/98YpUFz8sCf6cmy2nEOfqNRY7dWPof5kRl+W+GP4927duP +458AfAQb/w/ochBl + "]], + PolygonBox[CompressedData[" +1:eJwllVto1mUcxx/fd77v8+z/Xjgp3dQtrR0EmwcQm1RaKehd4Y3oVuGgmZYa +BVLNMljkloZTM9k80DqIubpRQZ2HCPHCO3UWCB1gVx42g2wVTqPPt+/FD76/ +53d8nt/hmdG6acXGXAjhbagMmp6F8FM+hFnFEM6XQpifQrjEeev4EFYjexp6 +Cry5EML3MYRny0P4fFwI1eifRb+fs24cVuNjGbif8xXoH4D/BbwNWgd+FJqG +7xfRaQTvx+Y0+BT0Jr7rsHmcWJXw40msB53d6M+EZoMPoL8bX03ozEf3KDn2 +wm9GvhX5QWw6sT0OvYG/TVAn+X2KvJV8C8gL5H4P+Ri+HojAk5BPy/sOR+FH +oev4bob/C/wy8leRd3FWA24n5hr4GqgSvguah+5KYnSCd5X8VrM5ewv7G5wt +QjaM/i1wLfKpyPvx14b8D87uIhuFMvj7Imx/5I5XuGsDNIb9CPKZ4FWZa6M7 +6+7yIV8L4Bvh9yS/nWr4M7nWceca7v4ZNqf0/tDavO/0EngGVJ/3m+nteqEz +ZX6jMXAF+VaqNuQwAbyr6No1qKaKhc4A+qehQWIFzqqCz67BD5NvE/wwPkYy +10i1Wor9QnSbM7/1EvgW8BLkF4n1Gvl8SLwKdCYj24HOl9E9ql4dRGc5/M3k +t63G/0fqB87m5txDe4n/SvTb9HF2Hnw3uZZ68z/Bz3FWCd6J/BtwAzZn875D +PbgqudZX8Pcd8h5i9CKbR7wF5LuTfKbk3JPd4Gcy95p6YjF4C/aN5NrM2Qb8 +HY6+23qoA/1t0AbwKnw+jO5N5EPor4O/Af693L3Rg7+T8BPxmSNWBWcl9Ldg +/xD64zh7D9yYeZaUYze59hU9K5rhRcjWl7uWv+mNwZOTZ7cKeS3yOyJwH/K5 +xLsN7SH2O/i4BW5Wz+R9tjpZR7od8MVkH/Klnnkscw+rl9WDtcT7pOS305vt +AO8vujaacc36xOTaqgfUC0PYn8l758yBvwe/nFz+xscY+OOSZ30x8i7wQPSu +0I7Rrnk++q6/wr9O/AtF16IF2ghfl/y2CWqJnlnNrnpojnorefY0w5rlEWwu +l7lm36L7IHMux5HfB79PDm0F9/wh5NXJu28Qm2PwTcm9vwx6EvxD0bX/B5sT +2B6J7kXtJO0m9Zx6TzEVuyJzrdUD6gX5lG/NtGZbM6nZ3IePTr0t8u05z5Bm +aW/ybtZO1G7UDtcuVw+NFp2DculAp414J6J9aUesVP8hfyTvHn1B/YnNOcUj +n3byeSJ5lvUH6C/QztHuUQ0H1K+ZdTVjmrWm6F5Wjl9Ez4RmQzX+OrpGqpVi +TsG+EF1r7cQ7yTOv2VdPToW/nXnXqIcXoru15NqoJh+Av4reJZp5zf5g/H9l +hXbOrkX3gHpBf9J29PdFy7STr5LL1eRe0kxrtt9Nfiv9of+Sy8HoWdCbDJV7 +J2o3aqdqt9aV/FfoD6gH/wcP1PFq + "]]}]}, { + EdgeForm[], + GrayLevel[0.46499999999999997`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmH2wVWUVxve555599j77kF6YkhIt5ZrOOJmSpuYMGIr0R0KjEnANp7hA +TX4N418llDWoYGKSFx0BgftBoYCAXOBCaNiHl5pmRMAAG4hQkHtxuNhI0wRD +Pb+exdgfe9513r3e911rvc961trnkqkP3vFAQ5Ik7aUkKWscVU2St9Mk2a3n +es0d1+QPNX+D5BOSH5Z8smx5luSkMUku1garJb6bJ8kxzR/W+EHJMnscy5Kk +Xzp9GqdJ72rNtWp8tsF7sc90PdeU/L5fesf17rjG8Zr7bOzfWva+2HNCZwzo +dyqdE5o7IvnLYS9nYuczRZKsrCRJm8bHKt6H/Vr1LJber6VzUPIByTMkr5be +Fumt0fiF3H7N0P4Hc+9/ILffAxGH1kbPcz66F4WdKxS7rtS/p0inX++/l/iM +ESX7+qjWXSv5u4ntuVW6f5J8p87PGv17rs5bIL15Gs/WkuSo5v+j8VI9F0ke +rvGU7utaydvqSXKl9tmp566I566Sz3xIelOls1k6Zdn1YsV6Q/Qs03O5dA5p +bkvZv+do/FKsnam139baTVq7ObfOJo0/1fvNAEZjd255g8YDVfuxquq90M9K +trG37LMYd3Bfki+sGCfcK3pbQ+f+mmM0S3v+osG+gRls7o21a8IP3m2oW2+t +7usqnf2Din0Gd1Olf1w6n5fOMPl/Wd34Jk5j9Hxavwfrdy82axzQUzQY2+hz +t+iCTWx4vvCZDTrrrMaxep7S/GGdM0T6ffo9u+J3N+v5lfQ36vdKjR16XpHc +qXG5nvWS2zUO1vO4zmnS2J56vxf07E99j9wneflbyRMSn4HN3FMtNYbB8n2F +z8xk2yT58+PEey2Szo80zk/sX0f42BH+Mj8zdT6Sl3tT+zshbHgn7OCeWiPX +FhW+g8Uaf6JxUINj8Z1GYwbcg/G+wPm0steSv49rzVKtmavxZxpHaO2kkv05 +FtgjloMjnoMid4kJ3DA98u4pre/S+p8Xzm/2IAdbcp93t8alerdOOssK5y9c +BucQszmR+0tl7yOS741cRAbHH8UdEkdy8engDc5B5qyRFb9j/uuK+Y3cPzyW +m4+OacyE56rOqGo8I582psb37dL/Ssl3w3NTnPWM9tzb4Px6T+v7pHtE457M +87s1bte7YSVjGJvhDewnHmvjHb6eDH//XnEekl9wAfnxR/I1tXwdOV3Y50er +5tGB4NIiNZfBY3fq7COaX6M9Hqh57nfSv09yi3TGZ+Yjzvqq5pr1DJXOW9r7 +PO3zCT3vl8yF75c+5v6jwf9wNr416/liZrsPF47rhxFbsLMsOAyOJkebdebC +irkRLhlatQxXrQ1deGNZcA1xGCRb6qnPHhs4A2P3yubJWvt9jXO0T5vmN8mG +b2SOxWCdVas55nnN934m4vxyZi6Ck9py15qFuXF0NrgCvIMHuH942THn3sEU +vAOu1uu8V+XPKxrPrzvPm+q2iziTU5vCP3DC/dwT93hH3NEL8ExqXiPfT6de +z9r+WIN+Z902TNC69Zn97agbm/8IfKJPXpPT4JN69Ijkd8vOed5TJ9DZUTWG +Poq935O8XHrPKw4HJS+V/Jzkf+qsf+msU5nxujbuiDzABmKCHcjcQ6f0btNc +k9a+JPmbkj8l+XNlxxx+XlJYfjliwDvmv1b2WVP0fCY3bsHvzsAaHD82M8+t +yrwv+6+UPLduXtyALDue1Pyl1CbJSyRfIXl4YQ5uLrzHweAxah3cjl+nFLcV +/4fv7ZG/o7XPvuB3cMRZYKkfnEc+s8e6iE8992/qxkit3ZP63YW5+fUxzY3O +vF+Xxia9Pz81t8Jd4A++2tVoPoXP74l6eV3k9pHA0Tu57/ivGvflrnP7Nf5N +z1HJh+ClinsAsPjvBnMU2Hg99dzQ6PuORB3nDrgL+GpUYQ69uTBGpsQ8HHxr +yMSamC8I7DBP7kzMHK/uzJgAG+2BX/IK/JDbVwe3jIh1+L676r5wZuH74x4X +a25v1TXpIc1PyZw3WzW+WXWde1Dzf666xt9fOPcnRv6TX92p68qQurnl91X3 +gvDK6uBB4nEmM48dCi6Dq4gj8aI+UCfA6NbcfVFPbvyBjUskL68YW71RlyaF +X2OjTsIzcCb2gSVsRIY/x0edRI960R8Yg3tPBT7hLWJFHXwtsw/TM/e29LjE +izl+sw9ccXvsT7+BDG/AE/AFHEUdHhR8C0aYBydpzefBl+QjPSr58WxheWFh +m8gdeGJBYfnpwtwGxz0ZvcotVeftvpDpZfCNPKIGUJeIHXGjP6VmUA/Ab1vY +uSr62Otz47C14t/fKizfrXFe3T3TE3X3NeQSecSZ2MG5YJWeHryC7WkV45ue +BpzAw/Sq9Kz0qNRiZOrxE4VtnleYU+CTCyLn6JvpxRYFt+P7bNkxTfKsumsN +9w/+wRN1YmhgYHFqrMLr2yvmWurwNVGLexqtTxwqmd9vKIw19od3wHd39J8D +YcP8+K4Bu9QIesvOqDvj4lywwXx74KcjM2/dkPn9ovAFffDD7/7IB3KBnnZ+ +9EqvyqY3ZP+2wrrjAnvUWObJg42FfewunF/0BFnwEjKxWRccDK/SK/VUnDfY +My5suELrL9b85YW//5AfDp6Fb/ty93n0ex/k7lO2VZwTqwrv+VL09l3hO/3q +jorzlr6jt+K8fL3w/PbA9qKILXy5NHq8dYX3X1u4R+uuuNf7ZWF5hcYlqX0g +nr8pvP9rhb8j+M6/Lb5p7oo+nxoyMua7o+8+14+PiFpGfQCj1IironcEt2CR +fpFYMIce811x1/ADvQyYIyZ8ZxOjG+Nuz30r8P6m6Dc+DN3ZcS/owmP4tCQw +DE43B7bx6y9RQ0dFTcSXW6K2wgl896GHvz3Bq5fVHEPix53CSz2Bf74/wfSu +3Hu/HXvyPXcy1lAbsZ+Y0KcPRCwmV41X8pAYUn+J4wV1y2/E99mk4EnGyYFv +8pE+mZykXzsdNQXfJwbO4VDqC7WNb8qmqO8vRt2n/u8LHsJfvjXPi96bHGyp ++m4643sQTDZHLoCJK6Mnol4fjW90+O2Tddv2h6p7hxMxzzfi/ogzfrSEL5wx +OeLAXEfgeW/oTw8c7g15S9Rcam9LxIQ92qLnTMKu3eHXsOiJxoSP574tuNv/ +5Xng+XTwLbxPHaD/hwPQgRPAC3uOidoxOurIrpox9lzm3qcvsMq6rfH/Bt/B +/LeyM/hkT+zTmPl+ZhS+k33px7kGRjmPmng0+Jd7PBZ59196+qNv + "]], + PolygonBox[CompressedData[" +1:eJwtlmlslVUQhr/b29t7v3suSqkKsim2iokxKqK4BdEf4i9RcQPUKKAgWwVM +jCIILtCCC2UTpNayl01aKJSi4MamMVGWiKIge6AooBGChqDPm5cfk8ycWc6c +OXPeOR36lj48LC+KosVQPrQxHUW5gihqBl2Si6JMJoq6JaLob6ghRFFpNoqe +wjCgfxDdfOgrdD8i1+XsI9/aVBRVYV9BvHeIW83aQnTDWOuO/Wb06+FLWGtP +Am3RXwNfS7ztxO+XjKJecRTdw36dkfdjfwO6RdjMw7aSmFOIPR+5ssB7lCGv +wGYK8a7E/wH4D6AG/NdA24i1hpiN6PYRbz/734a+lnwm4JND9zxrNyZcgyJi +t4aK4A/g8xP6FDE+Za/ZyAXwL7M2Fr6K+BOJ1RJ5L/7boe7IX5PTQOzPEWM1 +sSZCw+FnsF8ZfCuoEHkl+cwNrpFqFdA34j+QtU7Eas5aS3RbiNeiwDkpt1Xs +18D+O/H/AdvPgmt7Hp9ybOdCnYg1ibVd8C+i74FuC/Ln8PXQF/B/sfYm+heQ +b054j8uJP5W1ZviPw+Z7+HL2q2C/rsh3Y9skgp8PvQe/NOOz79aZ8F+X8Vl0 +Z7q7ccQ4hX419ouwn0C8yUnHLIM/y9ppdDXQVPhV0J0J57gavpiat6PW0yWr +9sQ7if4Y/oeQ/0N/BP009CvjC3eOvBaamXGNVCvFuArd5rRrqzvQXdRjcy7h +nlJvXZ1zb+pxFKF7A/s/0TcSY1lwzVS79ch1wTVX7Ucjfwc/gj2exfcg+e0m +n4GsjU04x/PoRuDzBPJW7L+Ej9kvyX7LkT/U3QTrrqCGlfhuCL473Ynu5jly +apfnN3R97J5Wb1dBE4J95DseeQf8H9icIJdTUBrfGvZbUOAYG5C/waYvub2C +/SD8k6ztwTaLTXNsuwXfvd6A3sLPsd9GZ50Zfgn6tSnfse5aPa/efxubodiv +UI+mXEPV8hPkOxJeq4WfDC1IuQfUC6OVD75N5HeUXKbHfnvfsv8edDtY24Xu +X+gf+D7o+6N/FX0b+LLgWhSxx3j4X2LfxS3IY2JjhLDiMHJP4QVrVcj9kGfA +P8JaMfI04tfBb+Q8XdPGjLnI04J7tQR5Cvzh2L3YBXk//O/QceRR5HMcfh90 +BPlW9L/Cvx/8dtoivwu/ifj3po2pi4k/C5tq7Acjz4xtI1vVqAI+D5vrEsa8 +SsUSpiHXo1+oWgbzeiN6K2uCz6I3lcJ3E2sXcT8XQ5exdw1rj0XOQbloTbo6 +YlTjW5hzLwjjipFb5DwLhHGtY795vX3FWKL7wmZxyj2t3laPqFeeoceG0w+P +ZjxbVGPV+rgozzNAs+Cj4LsRJucjv66eT9qmCXkU8d5KukfVq8IEYYMwviH2 +nevuP2ZtYvCM0qy6j/zmCati9+YA5G3w5cG2wjRh2ySoOuUZdDrtO9Zd60wz +gjFGWCMMrod/jfj9ib8V+Qz2p9njLLnej3wX+nnBWC+MFdauDMYOvQG9BfWM +euco9gfha4KxUnequ10ejD23Kwf4A7Ft27A2hv0eYr+n8z2jNat7IPeG7wUN +zvqMOqvWhiDvQT6sfkd+CXlr2ncjzBJ2NSD3T7kHD8H3Yc9+Kc88zT6dUWdV +jVSrDrFnmzD0cWEp1CryDN5OvEb0HZHX4bNObzntWS4MEhYJo4XVetM74QcQ +86aEe/RS9Muw75nyG90LfyxjbNCZdfYusbFBOT6J76Csz64eUa/ozevtC+NG +Zl0z1U5v8jd0Q4OxW3+eIfCzg7FYb2yWeiP4b6OclFtp8GzUn0Z/m+HBWKsZ +q1k7Mnj2CuOF9YXBfw31yGjNl6xroRqVZH2nulth6FLNA9Yy+T6zzn4g+C+k +GqqWc4Lfpv4I+isII4QV8sniOyfjXhdmCbs0wzTLNHM1e4VJwqb2xLgW/47B +/En0J2JjlLBKPbI3NiYKG9PEyGQ9QzRL9KcpJ346a53+HPp7HIuNxcLAJviC +zIXYSc8i/Zn0d9IbOZPxn09/P2F4b/j/AQ/+d6M= + "]]}]}, { + EdgeForm[], + GrayLevel[0.527], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFWGtwVtUVvV+S777OJY6YSqsCVUbbOpb+sdM/bWdsreNg26mPOv6owaao +aA0BwqvSQsCgDYOVVyBUA21QqOUlIAkFAYFICelAZ/qgQlApIC3TONN2RGUK +6VqsleHHnX3uuefsc87ea6+9z72xruG+CRVRFB0tRVEl5Okkio5BdkHGeLri +KHoOH2og+zkQz1iIWzH+Ecj5IYray1H0LGQZ4zsx7lmMr0ffU3hu51h8uxHt ++fh+HN9PYO4k9H8J8izG/hjtu6A3q8Ic9H2AMW2xxozG+2mMeRLtR6FnIvS0 +Be3pa/g2Hf37Mfc82l8taW3KaegvYb3pGN+Mdjv6Ejw3o/0+xo/BWnvwfgLt +2f52BO0HytpLVxZF26FrG+Q2rLcH/VshX8OzE+2NkHOgvx76fov2Gjxb0f8y +5Do8XWi/CjkP878H3c2QAzjTVPQ/gznvZjr3LOjoT7X/ByGPZTrT5DyK/pbp +HNcVUTQeuqZh7q8hT2Jf16F9CnMOcw7kPZDr0PdDjL8Pz72R2vRRX0n+ot+e +wPwZGLca8gj0fwH9Eeb+LJPt3oZ8HN+mYMwqyCKXX0KuvXLPf8/knxV4/ov5 +uzG2wWuVoWsv3jsxdym+T/Q+TmPce5X2J+Y/hb4m6FuGcWsxfjHkXzKN+TPk +mrLO8U3P5TxigGcmbriPhrL0PIxnB9oTIp1xhfHThPYnkJ1l+Yk2GVWS3gz7 +/AbaTVirlMoOtMc/4PsjttcijLsbciHkeuy1l/Ny4YfYoa71xAKeukjrcH3u +41sVwtO4kuJmGPZRXaF90k60Vw3WPYT3/UG24FleQftThexPP0zK5Rf65zOF +fEcfDiuEB+JiEuQcYgbPAuiZB/mvVDH4Uaw4PB+rTfyvxnsHni9HV77dgvZP +ctnkoVRxSv/xXPenitnvQl6IZVPann6g7blvYvKU/TSy0HlHQM6HbMFzfUlz +OLfetmK71j664HZjrtiehfMegL2uqpAPLuJ7I+bMjcQRqyrlj1OZOORkJl9y +/zzHO5l4oy/T+jwvsXQTvg2D/CPsNsB9VOq9PdZcxma3ee4OcmIiPqFNaSfy +BG3FcfzO/byeSc8WyHOQH5bETYuCbP18EMdsq9Sa1EFuoZ7NqWLogVTn/VxZ +ZyZ+lxvD7xh7xCD56oYq6ftKKrt+gv7RQXOXov3PCnEC/bM507qv2U7so7+u +gW8mY/xjQXYa7ZgirqmTtiJ22/HtjUj+oF+OQ76ENTag703M/SLatzFXxNo3 +uW5VJLs0muu4DjFKfNIXxATzAjE7yT69FGtcI9pPE1vQ+VFJccR97LKv3owv +01WU5trbMuynCh2bMKcd+6lNFWfDcb65iWJxk/ms0frJ0w3mhIluP2yeWudY +rsHca/C04P1+95M3fgRdE9AeF9S33uOPJrJTR6I4Y+wx1ji23nmQ/ecdj2ks +29FutB/b5KDbHZOMzcFv5JTRqXLYQchfBu0pK4TBRbb3sET2Icb2l5X7iNuq +RLzBXJKh/dOycMXzNZO/zHP0G7luKDkE/SsjzaOeqQyJRJzD9hC0Z5Y1vt15 +rdm55jaf5UnmGvT1JIpv2pox/ifjhzh6JhEXvh607tXeE/VRL/FD3042fnpj +YeMxxEAH/P8odcLfK2ON5x6mef4UtKsxtgntFyIGnnDAfvbN9hn/kOh7C+SR +RH1LEs3lOTnuastVPu9K88XyIOwE+KICfXudP+6MlMMYR8wDdxnHYzL5kf7c +5RgjbvZCz3yeEbKnLNxtNBbajYfngjjjZJBectqdlqvdXuL978aY8Vjjs9jT +5wvN7zAOFwTF+IVEMbjIfs9z8WpbJozMtN0OO9cxf6aJeInzLuWKxfHoezsV +N307U/120PzVimeZ64B+v7OuWwzdZ6qE1aXun2juZa1I/m11DuL4Oo9jjL6b +yKZ3F8qtjHeegWcivwzapsU8Q37ktwWuyzpdK8SuDWqdj7rMCeSDra4tyOMf +us5cG/Sddd/YXDVkbS7uJod/PxVHrDFnLAnyycdBfWvd/1JQzVCB8b8I8s25 +IIwwt/U6R5x3vh5XpRqX+/hVEH6vLWTXVtdg5HjalPaclis+thfiMeKK8XaP +sUcMMt7J18TzNte6o3JxCP0yq6T4qvWeOoLi/tOF8Ep8Er9bnPsGcuUkrs98 +ujKIa2swfgT2ODIWnsk/qbljt+tV+p0xw9ghxma6nllobM4xv5HryfnLM9Xp +rEtps1uC7HMIencl5l3IzUHcQo4hZ5A7mFOYBy7XE5HuN+wf9DP1MN8/79z9 +gu83jEPGHmN+wHUCubHKdwzWjaVY52AuPeV8yrF3eDzXvOR1edZLZcVWh3NH +AhtWFuqvKHSXIA5/E8QTPGuvcyZ10SZNqXLkf1Jxf6drDPJ3s/3Oe8dl7iOf +BMV2fVA9x7puE+SUXPX1iUw1wjHXdv/LhYeLuWqSfscj7Ujbkd9b3U8ckne5 +HteiHc+7dqIdul1TEQ/DY9UK5IkPrLPNbfLGhCCObgi6W9IHPw/y3UB8pa6g +PWkP5pw+33FOWC91znaOIs77XBO+l8lWxDpxTrwNcQ44kwj3L2aK1zXmVfLf +HtdF1N0TKx/R95WuuWnXzNj+2LG/MGgM76KMn+XmRs5t9t2wOtX61d4D70+8 +bzIupnou8xpjhTHziCXHNJiTuW5TpLEVXmu2z8XzkwNqXM/Qnzz7gPNgtXPb +XzPV8Uch5wXVLXVBOYnzG4NsTKzzfsQamrG+NbuSI5l7ql2zM3ZfNeduCOIY +8hrnnHQ9eiaT/RhH02xn2pg8+kSuWvZsKixTP/3I2GI/ccr8NsJYYt6/fHbH +Fe9po3xXIIfxv8ZG39+3BOVRxnRnJt1DvX/GzlDXIayRalyvtPidPDb4bYNx +Xun90ze84421HQ7YFteaI2g/1mbdrpeIQ2KQeZQcech5f75rAPLCg/4/8INM +/1f4n4X5iPUf80lrUL7sdx7kvwHah3aivh7r5N2EuYQ8x9zAHNELXRODzjyJ +vsKzj/VpKhynrhGYbxjTb+F9fVD+nOtaIDX2tgedbWdQniAGD+Db74LOm6eK +hf0+O/fB8/AsO4JiiPdX1lLknn2J6uTYd8PENVYKeX2hf1I3FPLFcOeXc86n +LUF9I9zP2LnXuOK/Fa550PHQ41xGbM42Poknzr9c75VU2/A7a9gLg/ffRHcV +2pH7zGLVvVcVan8nVV3B/RMPb7m22+d7U+rx1Jn4jLxPrHOdwHse8zr3NKTQ +mKLQ/yBi7ffQMT4XV49J9Z+A9iQeGZ9HXLPNILahc2RQHDCnMxYW+9/LUv9P +63IeZHzsMLewFmT8rID8t2vWrxfi3YvmXv4r6IvFu6yvmWvI01yTMXjYuf2w +97PL3E6OJ6aJ7ZuD/mHxLDwT1+Ba3UEYm+w6gPva6fqNtcA410usDY8Pcr5z +4su5HraZJ/s8ps71AeuE5qD8Tx/y7Htcl5B7VwT548WguwG5+Q3+C3S8MG6e +ThTbNwXZnpim/eNC9UC5kP6u+ErO5H9V5s3p2NvjWHdGLv6rdC3BXNrmfMqc +wnhkfN1q+5FjxlbpX9lp1xeRY5+YZTwQt9TNnMvc+77/TZzNVJOxBul2riiZ +M+m3Af9n6XGeok//D52R2+8= + "]], + PolygonBox[CompressedData[" +1:eJwllUtsVVUUhve97bnnnHuukChKFKSCAcQBI40jJ0YTg5gY0MSJJalAVUop +LZSGEGFARWsiPhAs2IJtEKMUKI+2CoiUgjzkkaAiyEstRY3EqIkDg+D3+w9W +zr/2eu29ztr/Hls1b1ptPoTwOlKOHIxDWMB3QRTC7aUQDqEvRG9EH4m+Kgth +E/hR1t4BLyyGMJPAX8tCGEpD6Mf/OWznciGcSELoQ5+Ffwf2K+Cv8bkMnkFM +HbHryLEZ+3Ri1oKXYn+Y2NnYG7H3UrNA3ApiGtDn49OMfxf+p1nfgf9IcA/2 +neBTyHniJyE56m9D34VtNPnGEj+e+L+xHeDQE8Bb8bmAfr5ALmr1IBF5XyFm +Pv7z8FlGvXZqnGR9OVIHXo1/B76d2Jsi96gD/EHmXqmHG8A91J8A7iNfL/jd +zGdVD1eD12fudQNr7eCZSC36A+j11HoPvS5yT9eAj8XuzWLW5qBPSdzrXzjP +i+z3zcz/phP7W+DfsDcHn/kaeAN7bmHvo9AfQt+CVGHfgv/7+P/OHm9iewRJ +sW3Evx3/5ZoRap/GPjnnf/gNeAwxJ9BvEF+Gbz5xLv3TVmwDsc9Wj34b9t2s +HYi8p8/Ax/Hfz97z1Iixd+H/NPaTrF0Cr0Imoh9CPwW+Ts3hea9NVi7kKLiC ++GpyLcHnLvQf2N+3+B5mrY39jafeXmxV+M+N3OPnwVPxuZC3zxPge4v+V5qp +ceCbRc8WacIN8CRiAv5jib8fvBGpYWkH+ofglti2AXyOgx8v+SyPIUtJcpka +g+SbQ8wlcEbOtNxn1tk/1v6w9aJ/Av4+9ewv0p0Cn009m43o36WeWc3u//+Q +/JXkm0K+IeoNoh/AZ1/OazOwDWPtqZx7qF5eQa6W+QyD4E7ytZJvGXoz+9HB +dZdS1oZjG4Yk4EpMU7GNRh9RcE/Um3zJs6B/qn/blfkstbhsBkfYc/j/jH0I +e7n6k/NaAVxC4oJnflbmGqqltVuw3YfcU/AZmvXvkJeCe3oRPEDMXvQjxB8E +/5i61zrjT+BWZD34nGI4XxM9qS73zGv2n0x8Vp1RZx2DjARfY78lbOtSc1kN +/mvBa5A29GPku0i+afjUqz4xXcT+S/4r5H+b/WzFdy57WgJeic9X+N+tnuZd +owL8UeZZ0gxsAp9JPcu6c7p7qqnampkSuSdqjwX35AVqf5GZG1v0D8CfZ+Yu +ceY+8J7MtcVpe8GvIm2ROWpF5jumu6Y9VZKvP3MvdcdGJD6TzibOnI5egf3W +yBwgLjgce1bFoeLSI+pxMIeLy3vw2R+ZQ8WlX8aeZXHondiXZ76ruqPN2ps4 +OnJP1duVmbntQfQ3wNuR3ejz0Lsz91i9Fud3gxsy92IP9jOxOUJcoZ6pd69l +zqUetKj3yL7Ie4wS3wHdhX70Xmxp0f9aM1QEH439lugN1Ft4NfVbqDdMb5ne +HL094piz5PsnNvfqTupuiuPF9eJkcfOfiblCM/wHOElcWzNTQ/2dmc+qPe4C +VxP/cs4zdp1aRfwHInNsn/qR+e6pR9syc7i4XD6foiclc6/uoO7i7MxcrZ6X +k2sc+h2R31S9rXrz9Pb9hd6N/dnEb4XeCL0VcdG91p1Iir4zujviiFHYryZ+ +q8TR4mpxlLhKM9QUmxPEDaq5ODaHikt1RxeR75nEtcVR4qr/AOFXMSQ= + "]]}]}, { + EdgeForm[], + GrayLevel[0.589], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFl1eMVWUQx8+t55x7jsgaJYpl2bWwihgFy5MFQV2wm1iwgFFRiTUmlijY +u1kTFaOxRR58MQIafaCExYCIyC4hsSBigomFRDC7C4iJoPj/+Z+ND+fO3O/M +zDd95nTccNdld1aTJJldSZKaYEN/FjeT5BnhV9WT5Ao9Y/Vuq84vEd4nfFbL ++E2CGyumuVb07Y0kmab/84Wfm5n2RtG8KdjUc5TOb9YlNcmaov8rdM8cwVTn +BzV8B/IuF80PVfP9JHi65C8QvlDPGcInJr7zyrh3t+hvFz5StCur1hud79bd +1+j913mSTJc+db27Prcu74Q+hS6/VfSvCL9X9E8Lfqmz2S3Lnya+1dKtKt7J +4jmmYh25d4funV23PVtEMyR8UM97ZZJU0EO8XaLdpOci0fc17Vt8jB3zxdMv +GQPCD6jYrk01y+eeHuF79Lyr81L6zBf+hvTfm/t8BD4W/p1opwrvlNyKZF0d +d46Ne0eIt6Xz/QSrLdNUBLurPr9DdA/r//mCndJ9c8V6XyzezTX/Bz9S746X +zicVSfK3fDSmgmKCDcd+qv4vbToO5MF+IesC6dahs0sjN54Q/+eSu0K6H1eY +/1jBmujbhB8hfJ9gh+gnib4VMcKne1vOl1v002g63thKjiCTPNmld22Cj0vO +C7n98bzgQNV6oMNOwYl6ZuEnbBB+Cz6UzLVBx9mLkrlI9BN1vq5hniGdPafn +ZZ2nqWP6bM2yeN+r8wU67yO/Wrab2CDn1Ib9z/+3c/v+LcEHpetLeveB8EV6 +PpG8v8X7aGFbsAm9OsOPBzUNyY2Pa+b9J/F77OUuZJMzfZHnxAa9r5PMmaJ7 +R/fMqrsmpwQtPJtFf3/L9vWn9kFP+OEbwf6KY39o3XfPpQcEHCWax+TH8yR/ +l2BTvk10b11wf+n4S9X8Y1ND8oo87YtcHZ+57tdkjn9v5MA5md9/Kr6Z0m29 +7lsl/T8KX+EzdJhYd333CL5Yd0xGV5wX1Bc5j434BH7k/JXalz1Ra0sK59oL +Oj+jaVl9wdsTMlcIXx66dbRs94e563hh3PVuafweySka7mXw0Nvw3dzoQ281 +zHde5CP5833NtYd/1mfO85WSsyG1jvNS19maqDVkEX/02NWwfr3RB+DFx8SS +mD6fWo/RoT/9a3X05O7c/h8fMdwQOn2RO+bUfVfq+O0JmxaELHryxug71ZA3 +T/KXVW0ncRkRPeFCyV/StJ8nxywgjtjQG/5Ft76YI+dGL+VOfDKy4TvPJkep +W+4sXbdro0ZOlsxTmvbn9qpzfUrotj30ox7wH36ZIJtOSl1bQ3oG9YzTPTuU +D0P098I5tTN8Qv6Sz+TpH3q3UzS7Cp+BYwfxaYsY7W1Yf/IY+5C5PHoGvWV6 +5Mbc8BV8A9GvmCvMCXrB75n13545bvWwBV0nh8+Jw9aI+6+iu4TZLv+c2XRM +ie3Pmf03Q/k7EPOROfmYYn2O+B7S+eO55wLzgR7HOTOyzNzvj5DMX3OfMT93 +xHyH7v2G84+4XR3xWDTce5u2+/KGZxC1RaxOjXiNl9wjhR9f2p/4Ej9v09lv +Tce/J/iozekhH951uefnvtR1BB/2b6n5nNmNX5FPvmzKXDfUMTKmR/+E7/uo +wR9qxpGzf+naTMT3bW55c1LL5g52jg1hW3fsMcSVmN6aea4wc8iFruh7B2a+ +d2XhuPVFHeFD5hx+TEvnOfnOfKSvok+ldG7tK5yTHdFXt8QMYhaxa9Dr+qPH +0//p8/S8S8Ne5CGXO9gpsAdbJpWOH7OUOqZXsTvRa5eFXfSAtuh77aIfJVmH +l64pcHKFXKdfULf0EHT+b46Ufk9O/RY6TAr/g2MjMqhLet/w/KMu7ou8fES6 +LS6c/63Msxw/r9LZWaXz6n6dfZM7Rl8x+wr7v9T7pwr34Sep39S+WSx4cNO5 +Qi3Sb+kJ1AN7yrbIQ/KWvMFH7ALseeT/vdH3Dylcm/CyZw5Gf0EO+9RQ9Bl6 +D/6aGvbxf370OvyCT/YFToyA2wI/MfW97Jbny7YrZeMFgn/k3o93Cz6Ve5Z3 +yd488x4zoLNK5vzeIHwwdw0PCa7NPe+/FOzPvZuuz72LsZNhCzi7BX10bMwG +Ytoe9gzvhEXQE/OumB088JCrwzvBmJgFo1J/G5yWeYYyS9kL8Xt74ZnK+U2F +dwtyNyudB+TDVsHlqfPzC8nYUnhH/1FwaeGdfllhvdGP/oxNSyJGxHpp4HNa +9u+K0jMK/dhBiRn05Bx3Lo64ozs0zLJHMu8Q3eR49N9pUR8TYta8VrjOXxfc +XXh+/yl4XOl9dBx8pfPs7NJxIl6dhXfrzTFXv4rc3phbL+xhvt6R+ptqau7v +B/a8NwWHMvfiHZl3HWj5diEnyI0HZPeY0jXQIXhzxGRPy/s6e/thpe1mD+ab +cYLOx7Mn4+PCc+2zwjVP72He8O0DTq84ETtF82rs7APxfTcjc62z7zBP2FGZ +Me+1PLvYMYf3zmbMWeRQp9QTdUV9EQ/44U0Lf6M1o0+wB8yL2TEm9vMDQgf6 +GzO1HjTouz70J67kwajYh9lryV96fnfsBszroZCD7SOjp5G/4Mjh25H5XYud +hW8D9ne+i/iW6RVcmHvHXiA4Tnp3Mvfkk9sK+3td5Cy5SK7Sh+HFl/jssIZt +P6YwfrTgjYXtvEHwgdS6sAsQN/w2L75D+SZnj2C2MeO2Zp7Z+Is5i+7og48e +TN2n2TXoN9QP/p8Wewx9jJ50RfhtML4T0Zk4fhy7H32DvGIfO6Hwdy7fu+g1 +rvF/LEbHrOG7f031/2/O9uAdiG9x/E8f4hwd6JdtMeP+BTZVB4o= + "]], + PolygonBox[CompressedData[" +1:eJwtlW1olWUYx+9ztuN5zrkflUUNQ8s5S2y+ZEn2qVmG5LZeJPAlEw11MSHt +U02X0TStFCcURYEvJNiXqFHUB7OcYS1ftlaBljZhhiy/aHq2uSgt+/37C+fi +/K+X+7qu+36ulwkrnn9ybTaEsBUqh9I0hMmZEHqhkeDNhRDaykLYAW0B55DN +xy6M4Ac+l4TQj4PRuRCa8yG0I+tGNwO8oRjC7fB1+KpENh48D6oFd+OiD5t/ +sPkc38BwDXwdMAn7U1A38eqxn439I8T4AH0/8c6DbyHeemzvQj8BfiI208AR +yoE/RP9uDOEsNj9m7aMO3VHOfwk/k8tOB59Afwy+Gn0N+t+QnYOPnH8B3dTU +vi/pjuh+QnYE/BznXyafU8jOwC/gDmvQfUvMLs7O5Ext6jM6Owa+Cr4Lm9e5 +a57//fBf8X8HfAl/ec5+xJ3f5Pxn+GsHn+f8UvSL0K8m3qPIFqGrRHYa3Xpk +Tei2ImtFtxBZI/wFYl4EX0W/Qe9PnAOpc1buw9hfwX5EdOw+YvaBWzmzA74N +2oft5NTfvgp/TehakK1GN4DsMue/idY9RYyb0b+Efm7GNaBaqCv4bXYimwe+ +kDi3LLSdnJqwX4i/xVBD4jvoLiWoAN+DTWfWMRVbb6q3HURWQt8MzYK/D5qN +bhC+I1j2IPxO/O3FVy+yfnwdjs5V36gTXMT+YfgM/r6AXwW1w98ErQTfA03F +dhp0r+op+q0uk89G8GH5zLrmVHtd+DsEP4TNMPo/o3EH/gaj76y7dyI7AP8H +9m+r95BdSvzmenv1yCvwA4nvqm+ib5Ok7r1q/OVV+6lrqwKbu/F3JzQO389y +56Xc/TjxXguWTUK3Df4t+Cr4mug319vrDj3KBf376K9yfjr6NvjqnL+BvsVx +fJ5UPRD/KLgHOl3mnu0CV5NPQ8ZvNhFcn7h29Y31rbOpc69AXwa+iM9/g2u+ +Jbqn1dvy+T3+hguuVfncBH6m4LdSTlOwfwf7mpx7Ur3ZDi3IuefP3qj5yhsx +FGsP55ejW4O/3eAjiWtTPahe/BvqId5efGzH/zJynhMsWw7+uODeHMt9quA3 +YVPB+e+QvQruKBg/gP4J9J8U3KuacZ+CSwX3jnpkI/gE9LRmIbKT4FGJ314z +V7M3Fj0rVcMpeEV0be4ivy3ggH0vul+hH7DfHK3bg81a7nIo9SzOcecl2I6P +fnvdaV3ed9Rda8n3L/hVxJhf7hmrWbtS8TOWNYLHpa4dzfSx6sXo3lANq5aV +g3I5A2Xgx6A/iG0Jm4HonJSbZvDBvGtUtaqZpdk1lHjWq4fVyyF1rV3jfAY8 +J3WvL0H2ELgU7Vs9p95Tj/3fa8iugB9LvMv0RqOxX5y41zUzNTtvS72bVPPL +tFvI540y98zv4Fujd4HuoLsMRfvWztPuq9fMLfNMbgBfj871cc7P1a6J7nXN +mP3gkcQslrtGVavrip516slm8C8F14Jm/s/g96J3mXZyI7g6+m21g1vy7nn1 +vnpgRvQO1i5Wjx7j/LaC3ypDzCz+v847N33T7sTfXN9eM+/+xDNNs0013Rpd +46p17Tjtut3Yz8p5Z2p3Zor2LZl02qnarXoTvc2U1LtVO1q7elfBvac3GFV0 +j6hXtHO1e7UTtRv1DV5E9x960BxT + "]]}]}, { + EdgeForm[], + GrayLevel[0.651], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFl2molWUQx9977jn3vMvJezEF7UN6k9TUckmsL3WvZcs1RfJqkLZIpZBb +n8LUChcoKMJIEjRbbYEWy77lHuR2r1aWkaChlaVCmbtRmf1//kf68DLPmWee +mXlm/jPznOaHHhs/u5QkyaC6JKkXnVskyRotPsiSZItok/h9xD8kofVa99K3 +XevrKknSTfTVapJ8ov263Hx4YyRzi/SMlMytosMLyy+TbBfJrZLeldK/oUG6 +Jd8u+Vbt36jfk7U+X06Sw1r31DqreD1UNtpqSbJL9KD0fKHzV2r/H62/r/d6 +rPaONFiec4Nl9xrRZp3rEXpbJdOs/ZaK/R4mma7yYajogJp5e6TzqPb/Lfvc +LNEm8Z6vt8+sV0lut86N1jdNMuvFb6xa12Gd/bVinw9I70rtNxS2j074k9Ik +eVoym2r2BZ/GS+6U5E7q9znR+fgs2e761krukM7+nftu6Cc30COxbtKZC5Jp +FJ1XWP73qu2ik7tj/0L48FPJ9+SOM8SrSfa5escwrzj+c6o+93Pq/OwsOUcz +xW+X7B3Kw22F+Xur/lh/LfnvtO4AK/L9q9RreM36Vkj/sLJxBt7eFz2m/ell +4wdcdAQ28O9bybTIjx2Z/cEvZKfXWx5MgI3VopeXzH9Zv/9IrfdYah17Qs+7 +imOb+ItS33tdg+/+jb4u8m1HnffJ7SbJd2bG2Zei/bV/teTXiP9oal+fkb5+ +DebjM7lEDpnHpX+Y6I+SXVj47gdFSzrzknQ+J51zq8bvL5IZonj1lZ4ZWm/P +7HdHZlwfibogNv3CFjb7hj8bReeBt8T2wf9bifN5JOqiPXyDf0XZ8QdrE4KC +N3B8LGqZ2BCjZeL/VjUmnyhcD+hCz4Opa3+q/NxXsp6KvrUl45/1OcnPLjs/ +4A38o5N7nQ9Mgo3eVZ9ZHTm9THHqXrIfyOML51lTc9Qe9Uj+kBlbZx29Qs/U +qmPyV+7apZ6RH566Vo/qLqtr1jlfMk/lvtPuqmv8norrfHFm3Qtz29kVtpbX +2RZ9MotaJN8nC8e9R+G6Ox/95KB0raiz3LzcOP1S5+fKnxHam5m5togjum/P +TAekzu+n9c4B6+5xt14RN3ygrl6puH8vLrxeJPpZ6OsTscJ3bLdL/zp6sPQv +0dkXy8Y9d14Sa2LWGH2P+h4RfaB31DM2zxbGZqf01Cme5yskyzXHupPYZbZ9 +QrSP9nrqDlfVbGt2nfNNT8uifzIXWqKOetdcV42p/eEsOAXj4Jm90/o9POqW +/JAnsJOHzot5Ee9UzBrq72SssXUqZgMffOYBveTyqAVqtzlwtShzDZyNGiW3 +9CZ6CP2DmdQZM5Oec3PuvA+U/x/X7N/nNdvENj48oBhOka03pXNzzb5PSS1z +MnxjrrZGTMDQisgpfWhD1AK4AB/g5Mnc2AbjN4i3tN4xWhC9iJ4EppCnb7RE +LNFPTVNf3P3S/GuPu9EPxyS+67iy+xc4BlMviD4ru8d1vil1DNZHHOgzQ8vu +Ca015+xUaiyBI+7yTm7sjdZ+79w96aPMGCE++/X7ptyY3qqze6VzYtn+bBbv +7rJtDkodH2LfI+qxp+i43FjYKJ0dcR/Ovif+GZ3vmboOwfko3hE1z+iBNfcx +8ED94C91hs8tuWt7P/6k9hnf79KZVmJYizuVjHNyx9lLmASL4I38sGbu4Af+ +LJOejSXXKTHkDUUsiMPIyOstomcy9y562MDC2J2SOQfkYkHuWBPz06l7WxE+ +EbNxETfojsAuGCamvWLW9I8ZsjM1f3P04K5RI7OqvjsxeFW235YPr2XuA53h +P/lnNoCBauH1+qpnL29NbG+J3IySnqbcfjaKrs6M1w8z5xYMEP8z8XbiDUU+ +d8SbkBwSQ+LJPdEzO/oU/eqE5G9L7duFwrGfHHOfXng6+gm8EaHnPvlxp/Ym +i45Mje1JuX2Hz+87M2O9Lft/vnLfqbnj+7DotYEr8MVbjTcbb717I98dqXv7 +8pih6IVPDHlzUPPTJXMuMy7/jPnLXMcm924Ln6dVnAsw80bU0uuZ3yVgkJo4 +kPpdODEzXtBPP0HH7ogD58DfrnivEONHcr9DwT+4xs6qsAVm0Ul/bIz5C1YO +hi1sUjOc/SH1jKbP0G/2xP8L/mdge3jchdkMzl8WPZ655zBLJ8QsY6a11Cw/ +J3W9bg980tOOx712Zu4dF6qeK/S9QTVjEUxuE29X5jvyRiMfxP/+3P1vb/TA +rZn7/rbMuDsU9UJvAp+tuWcGubzY9xocz7aYV0uj3snzvqgLsADO6cnkck3M +/SHxv2Zw4J13BTheF29lsEFv4s7EhTPooSap025xd970zKvThd/HvPeuL/xG +I1ac/w8QBMmy + "]], + PolygonBox[CompressedData[" +1:eJwllVlszVEQxs/tbXv/y9WK6EM9oAShtbRqeRG31haNWBNbiC3RUk+oJWg9 +SIgQQqJq3xKxvxWhEmupPSERUSKWRCjRVlD1G9/D5H7z/2Y758zMzZq/fHJZ +knOuFElGfgXOrYk4lxFzribu3A8PwWAHZAX4Dd8foydSnRsPX8q3nuAeSH/0 +bfC7iVMSdS47dO6279wTcGdi3gBfx6Ye2wxi1ILP8C0D+4vYnAVXEq8Irgk5 +SS2D0D+mOPce+Ui8amyOYnsM2Q92xGiFe4beSu6N+DTi2xGZi28lPvvg86j/ +B/w1fG5G9W0T3Cn0C+id4LvgO89X7SXoM/B/gs8dYpWhb4Avx6fVyWd1qDux +u9mOHIdvxn8r3BFsmnzltNxV5NuI/VLse3H+OmI+BC/yVWs/+Hz4hlC21dzX +a3AO55sMzsKnL/gg9mXoITHbky8dmzbwXyQNfJV8uU7f2qOPwGcIvvnkGA4e +F1et9dgUgQdi8wWuA5IHjhDzPNxOzpAE3hNTbXYHdhfpgXJP59s59ARnuEw9 +V+FnwI0kRgHcBWI0wn2j3i1R9USj3Qd8AvwdmyZwX2xyiTcVm0L4B8hzcDE2 +9YbhXxJ7Ct+WxhTTYlvPDaD+A756YTHx5oTqWetde6PP/FZQU3FEPXcO7k9M +vViH3MR3LXxpsmqsQP9GjEy4gHjfQ/WA9YLd0VdwAvsacBU2Oeh1+DyN6kx3 +ffWI9UoL31rQW0Kd1WI2g2fCXwEXYjMbfBibeUl600PgPYF6fzCymvht1Psi +qju5B5/tKXeDvWegnrfetxruwOeGestMztud8572NVvvyLcGbpWnXrCZTsAX +oU9LVo772JajD8U3Qc0FoWbaZtt61no3O65etB7pE9fM2OzYG9lbjQpV+31k +NPh3oNy4uMXUupUcu6LqyQL8+8U1C92RJZ562Hr5E/kHe+ox6zXbObZ72uDv +RTTzEXwzQ71VHvFXwK9E0lK0c26RaxryNkk9OhX809fbWE9sAo8hxyTy1VrN +4Fee7tZ2ju2ePsjeiN58GGf5RL4PKZoxm7UST7XbztkMXxtTLKtxNNwjT3dh +d2p3W+Sr123nLcO2W1xvtYwa1gcSw7ZDKn3dgd2FnaEBvDum3dKbbwNs3n2d +3Xaa7bZZgXrrHfZvsW8XaNZtZ6aBFyATk3VmO3tWXLFsx3QFLww0e2azKNDO +td1rZ87HfqyvWbQ7GQNODbWrLpEvBt7ia3fYG9tb3/bE2YzbrFtNVpu9kb3V +NXKuT9EMriPfnEC7xGakANsJcf3X2H/CiUA9+b83kRHgf1+v6HQ= + "]]}]}, { + EdgeForm[], + GrayLevel[0.713], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFVltsVUUUnXvvufecmXNiwZiqH8ZHagOCtFH6uDyEUltsWppIaBQETUwM +UZBiYgv9UmnEKG0ixkDVRFCgL5qU8ANNwIBR+ECefpiYEK3+aPRD+EBiqnGt +rm38mOw9c2b27L322nvOgy92r92Wd85dxyhgXMOkA2NzzrmvvHNXsHgechNk +a+Tc3VifjJ27hL0VwbkxzCswajHfhj0P4+w6zOeVnGssOrcTZw5gHMG3bqzf +wvcPMW/P665nirqv3/YOYN8vqXNHsbcucW4KcjXWn4D99UE+rMT6s9BboK+A +vhZn+rDvLuzpKcg2/T8GvRJ7YNrdCzlp+/5EPIex9gZsDJZkpzInfQDjScyb +4EMd7OyE/WnIpVgbx54G6Bshj+N8d6SYGS/v5N1nsD4eFOMY5DsYPdBfgZ0R +6B9A3wW9JnOuCme2JMKE53mWGBCLI9B/xLcJ2K43H3g/8b8Wy/99kO2ZcjEN +fbgk/PntsUz4v5rI54vmN79fsBwR+ywS/nsj+Ubc2iJhzrvmBOXuADCbgeyN +ZKM/UrzcfyOvWGg/KQq/5fCh1Ss3qyEPGg/IAd6Xmb4Icj9klLN7InHxkNf3 +zyHvDNo/F/J3xPkz9KlMudpTEkf/i4H+ECfylf6fwno5Ek+fxtr3ed130uRD +TvwdMn1jUOwbINuCzj4VdI4cIn9eh6zOiwPDBflNn1vAmVWMH/L+ID6Ow//h +IN86MsXE/cxZXFReyXHiyrwQW/o8ZjW1Hnt/sDnxpn3yhFhXmQ+bi/KDPnwB +fE5j/Vf4ULaaIpd2QN7My29yoRnfGiFXGc/Jd9YDuUN+3ROpdmYw/y2W7E2F +67j5xtw+Gil3y4P0RxLhOWF7GrA+H+v1kB9hvA19CHIJxgLo5aBczDcePF/Q +HTx7Ryo7FZDrvL51eeHBs8zZdqsX9o0dqWp8zAtH1ibj2RIr9y1Yfy0Wpp1e +ODQabzuCarw9yOYuq0Hyi/lh/1mSqqZYW8SSsbC2VuBMDfQFiH0U+0dKwn2/ +8Zu8oqwxvTbSnLid87LdG+ss7XflVAdtJeX0m4K4MsuTWPt/SlRn5D5rbVkk +3jA3xGO75Z1YDVmPZt2wJ7IfMp/UyVHyZcL2LEzk30rE9HgsHGhrKeYLIZdB +nsn07SzkC4n64JtB/Yexd1mfGTaduaHOXDAGYlppNcfcE5M1QTF0BtUY/Zut +H6th8qHOckX+V5VUh+R/v9cdtyGb4VOZPdz636jlojZTn/ojEZ70gz7M2Js1 +62eiPnUiKL8NVl+7I/VocmUyEx5vBflzw3wqgxsNuO/TWBgwXvp00Ks2P/Oq +72rrvewxU9bP+3D2fdZqKt8v2t1HLSfE53Kiet8KuTUWNt8lwoqcJ16LU3H+ +Ja911mdkead95ps+0M9qi+eWvTusGdoZ9fp202InXoyxOVWcjbb/KmvI+jzx +HbF42Sf7rJ+f9cL6S6+3nPFch1xsOt95xsBY2C/r7b1j3bN2aCvK/f+vwN7e +VJLONd45ahybtn8S/pt8HJSzT4LqhPXynP2rsB6IKbFn7yX+rKGrVkcPJOp9 +92H/117rM7D5blAPfS/o7SGmf7EWvHh0O1Z9nLR6438D+XElUc6YO7757Knf +FlWDe+3tpd9/2/v6D+Rur5j2BPXwecbh1lR9+1CsHJH/5FJTojd7U1BtDVh9 +UQ6aznv49vAu/u8M2n8Ox4C9oczJacOHc9oidmsy4d4J+XKi2luU6f4e86Ev +0T/BPvgwJ5UdvkWV1nPIz38By4lBWw== + "]], + PolygonBox[CompressedData[" +1:eJwllEls1VUUxu/DV9//f99LqITRCKIhhlFLRMujTKUDVmgToIRBppA0DWM1 +YZCdQigoXSgxgJIwyCAUEggLYAFJSxgCyKSxYbQOK6MbXCgx1fj78i1Ocs79 +znjP8Mryltlre4UQVkJZqCsJ4SEPs54LYVUuhH7IfyJvBPwkhnApDeFbsP6Z +EDrgd4DXPR/CfvCz4P9Av8KX4KsJ+3nI1cgJDwPyIUxGfh25DBqN7WnpgH1H +jF/gu6Cb8BvAt6P7jBhtxDuMv7/hOwshvInO++Cn4Ofwthh8CdQI/yI+/8K+ +Ffwr7BdC0+HroEqwB9jeAi+Sc1XBMRW7Erm+4BpUywGoDf0foZ/Bc+S4Dt25 +qWOVkU832Efot6DbyH+UIj+CutFfgM4H6C+Ojj0A/AbYfuyPgB2FDsBf4e08 ++qPRqYj2Kd8n0f8JvhpqALuH/hX0x5LjcHItkk8F/zkFvCbrP9Zfj4f2YDsK +eYL+HpvdyCOQy5HfjuYVU7GL0brKWbmPhMYgzyZeLbbPcu61YsyPrkG11CIv +iK5Zta9H3qbekt8w8jtDDT9g+x5vk4N7sAi+J+da7kKX8f8y9t9TS3/wl8Cn +Jvatnqq3u3krJ7etvH0JfxU8m3GOk5BnQBVZ90i9ege5iHwB+TpyOz76Ev80 +/k7AHwf/IusZ0awMgprxt5O3b8BqUs++/kx/t4E/7sH+FG8b4Y+l5gehPwT9 +Y8qhl322w+/KeVbXojMO/SroKfhb0DT4u4n5DnTuo/suNu0Z1zATvl45ZlxD +nXqD/htZ74x25zHyq8FvU5A3J879c+ho9M5od3qI/y++pqfupf5gNfH2RP+l +dlq7vTJx79ZBrWAfR++Wdm5L6hpVq26CbsNg5IFZ/8nv+HvC24mMc1JuK7B5 +Dd1yelqk3qnRu66eqXeKoViakRWJZ0SzMgybO8ifRt8a+ZAv7Zx2TzenE3lm +wbXexmYG/MHUu9SMzhLi9c57dy5iX5p3z9X7z8A35T1jmjXVMDTxjGhWJiLX +g+3LOXfdIN2iVYlzUw/LiPdb3r5V8ziwvdG3Zjxva4j1Yd6xdAP/wH5i9G5r +J7Wbh3irKvEN0i1qSj0ruiFL8Xct9W5oZ67Cn4u+RS3YH0JuKPhWaeY0e1+n +xgro9EF+IZrXTdVtrS741mmHtEuaOc3eNPAact3B21zlhjwBeU1iXjdGt+a/ +1LMkndbUNapW1VCL/jL0N5f4JnegX5237/XYrFa+qW+hZlqzvYt4W7LeOe1e +Q/Tfawe0C7KRrXQ2gfeO7rVuZin8/3qlzrA= + "]]}]}, { + EdgeForm[], + GrayLevel[0.775], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNlUtoXVUUhnfPPfeee/ZJBVNLtfjqSHRgcWLMreCgSZqm3lDrwEwUdOSD +apXa1rnkRlvoQNr6wIK22iQlIihGq4IVHWihgoViic3AoYITBxWq4v/5L6iD +w9p77b3X+te/HmfTE8/terZIKS3pa+lb1ebompSu0zdWp7RTynHJfrbuu67W +2s9IPy05107ppTKlj/V2WHdOSf+u9L3G+oPSzZW+x5057T+SvFil9IrWj8rm +etnsye/LpfdvSv+k5Ebpp6V/rfR+sm1b2DmuO49Jt11+rmr/gfyukyx0PtA3 +Wtg/fg/r7HQnpcWO3+8Wvn3SvQVe2ehJtzn5/iBwPqU7L+jOq9zReknr9yUP +CdPjsv2J9Hsrv1uV7iudfa87X4ftfmHM24aMe4dwfqj7P+j+9dm2wUi8+3V2 +WHf2SU41xvh2Nq5TkYsNpWOUSJ/pbI9078nXBdmYaZunZypzcFF4ZmvH/Y/k +Ftm8Q+f3CMsGrc/o7SOy8Y3Or4aPqfA3LXmfvru0vj/y+Y7Wq7J7XjYm2s7V +p9n6M5I36hvWeqPkinxv0t3RbF7gZ0fwTG0Ry4A86Fur9Uh2jY1FLRE7uOdb +9o1f9guda3WDPF6ZP/TUwSXtz0p/IvTng1tqmVrF7/OVsYER/rBPPuCR/UnJ +/WuMpyX5sPgak/1dQ84necUHvBEP+PFFLsFEXcwH5v6Qbf8in1cK28FGK7tG +y2zsi4H/t8o5viX7DW+pl5HSfFFb9AkxvR7cT3Xs64vamL6sjWs2uOUN681R +E9TGrXp7BL4Kx8j5IO7vFOatWj8k+XftmOhX8k0MxD4cdUjPwe1yYU6/7dre +vdkzAr4ns+M7HTGSW/bkc1w+elpPSJ6ozdtyNv9LYR++LhTXZgFyIZsn+gUc +k41r8qS42pbN13j4XQhfYCRmcBI3PsD6e+k9Z8SNr37E2o94n658r924x6gT +cvNiY5zMhktarwjDT41r/HLb3PxaOY69jTFwB1/UZi/q8+fG91caY1lfGt9N +2W+xwZ41+WM+3dlxPzMXwQQeZh52R8MG2Hh3s+wckLxN/L2RPWOPSV4Gq2yt +wl/j2mYuHqqdK+Yr58vxP+jFTGA2LGb7no/exQ/YzrU8W+5O5h4s1NBo4x5h +pjKr1gbuAzHXmGnENIh/Cf16NPJFTqajBsDe+18d/tj2W3AdiZwy4+Bmd9f1 +MRz2qXN6g144W1syv4v4VxDz1iHbZpbc3jU++Pujcn9MRN8xN6gDao0eI17k +uVjPZK//rNxvcDMvnw/GjGXWMnepFTDNRQ+OBC/wsyfm5Gz0/l+lz7G/JTtW +eo45DucPaP15bZzgpbeuRJ3BDRzBJ/8t5tTBrvP3Xw0p7u3ZvPNvPxZ1Mib9 +Ddl41kn+C7iPAoQ= + "]], + PolygonBox[CompressedData[" +1:eJwlk0tszFEUxk9n/mP870wlWuIVoithI7HQdEgsOq+WoWozGxJWDdGWUOyF +otKFEG+hDR1CIhalSFS6IiEhEp1qN5YSW5Iifl/O4ibfd8/zfufclgN93b0J +M8tzIk4tNnuSNBtOmZ3ImN0IZgPwngaz6+DdWbP2BWYVgnaBz3N3FPte7OfA +T9NmVWI/Y/8OHiVfP7ZGki/Bfpu7Z+YxbeQfgU+a1yjC/+E/nHSfv+CdnCq8 +BX4E31rwXi6R7yF4nDOGfT/1hhaa3YSfxZbgJMFlzqIGz9EBnqHGLP3N4V/H +vzl4b+pZvV/krpP33eXuObZVnKXgafy/YFsNXwY/Sc618DH6azbXTNptxp7E +1gVvBR/GZx2x68m5Cb36qTFP/BT2V/gPZFxr5fyBLQX/Cb5MjghcVH/gQeLv +EH8LPoi9TEwJvhW+IfKaW8AdxOwDP8K/hv0tNd5RayM9ToIL+LTi/4fTiO9K +eBN4HvsKvZd+f9FvjvgC8RPBtdAMX4Bfx967enoJrtPzh4RrLu01c81eO9KV +9Tfr7aew56g3p0PvV4ivg6Pgs1LPQ5o3PBf5zCrBNZf20uQguYtZ7y3HXSnj +M9Qspam03R78rcqxA5zH/3TkO9YO3ob/BLnf84Zq8B3WLufJuQe8mLuP+D7A +3gQ+lnFtHsOPg7uz7iuNpJVmotlI0xL+a7j7lHJNlwefgWahmXUS3xZ8lzWz +XPAZa9YzxEyD78deSzun3ZNG0ko7+w08Rf7xhGs4C78QXFv9mTPE3ou9d/2J +EemZ9b+iN1XAv9P+du3Em9g1lJZF8pXBV4P/ZWl2Dfw1472ppmqPpt1XM9fs +C7Hvuv7AIfh/JFGKlw== + "]]}]}, { + EdgeForm[], + GrayLevel[0.837], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJwtlctLVVEUxrfe61XPPoGlPYUeo/4ACwIbSddbTUx7QlFhE3XQi+oPUCeS +NqpZEZRE1jVwlqmTjJ5CGQR1s4zuKNBGXQpHfT/XGhz2Pmuv/a21vvWtc3Z0 +X+g6Xx1CuK4no2csDaFQE8KBGMJ8XQh9VSEUkxDKtSF80PmE1pKe59qPan2q +s24BjMj3hZ5q+X/W3YPRcMAryb5d/l9l+6j9JfmclP2a1sasxR0Xzi3tH2vN +694+Pb06Pya/fC6EI1oXZFvMWoxPwlmne83y/6U8VrR/I/zf2lfpfJfsU/XK +U+AzWgt636O7d4WzV3jDwhrSe3OdxemS/bCeNp11aJ2U/z2dP9M6LtuTnHFB +LuTGnpjFjOWxM2uxtmm/IbEz8uK8wWvcH622gtbpeuPkonw2y79JPlsSw5h1 +nPuyjWWMr5e6M6e7r7VmEuP/tnP/SD6Let+UGKdbVdP7aHHXy3ZK9fTq7plo +scmhXba3jgk2MR9WWVz88D+rtSmxHEbrrTf0qFP2QfEwkLO6O5y3Tq1Tqmet +MM5pXYjWs5Ljwz8xsnpf1r4mWv/g74HwWxLDy8g+4v2Z1dlf2X9oPxetf+C0 +y1ZRzD96euQ7lRhfM4nVTO0bPXfs8DOdGJdokH7SV+pZylq/yAN9EYsafubs +nT08Lfl+WLneFG42MV2iiRNad3v+Ld5PtE0/0BE9olf9jknv/3ld1Ecd5MqM +cQ/dZLzH9JqZy6emVTQLBtyCgw1NzgfLkVypp5yzGrC9izYXzMeraHXQqzXR +epJPbCaYjdZqw+cus9bjswh+QTm0yn4nMe0Sn/n+Fs2Xb0BfrXHJjJIXeqOG +q/K5of2VaNhlx6eP6I3eoCk4Yg64W/S5g2/24MAZ+VHP5dTyOppaneBSG/fB +Ib8G53PFuSUH3sHAB5wvrkm0Sa/GfKbIq+IaQyvoEk2yRz/kxRn6hyPu0Utq +gUu+gfC5ykPOcuW84j79PkfkgHYGvHYw8UMPIx6bWMuuV/g9nZq20T5cLvu3 +8VBq9/hmt3nuvIM96LGYrWGvZcjrAn81X9dAyef3ezTux70XcNLjeiNm2TVW +9G8jPSq4lsCe8H9Ho39Li87bZK1h0MPjqWHzz/kPJ87jnw== + "]], + PolygonBox[CompressedData[" +1:eJwtkrkvhFEUxe/4Zkbme19hmdgaVBoliUQnGWtjiSWxRKhmCiLBX6CRiIqS +grFNhkJlbShsE0tHrLVEpRGV381VvOTce86799z7XvXYZPdEnojUcsIcz4nU +ACrByXyRwUBkKgSOiAyB0zGRHU8kw9kAT6NfhCvmzif6ZjQJ4iR3EuAu+GW4 +c+rtw3eRa4qK3BN3gjOcvahpdn2ROk6Iu3PkVuFGnfV+QH/I/Qr4ONpZNGXg +LTxkPfMw48yDelFNOXyxb73UcxzcgaaRgRup30L9W2IoKUB/B17x/znqtROP +U68Q/gP+B+6UfmdcqCJ3EjOP6lV3Vg8/TPwOt048Au4NzHsCTR84Qs0vuCJy +KWo/EueFLPcEHghMmyLXD3521usFPy/gnDMvuqMbcNY3re5Qd5kg3iZuQNMC +bnM2yzzxKnGpb7P+UrNE5/HNq77xCTiNpzOxN2zl7hG5NfgxdnYAvnJ2Nwd/ +Db50hnVHF856aK8ldrTAft6cedcZX8GbMZtd30zfrjuwv6J/oiewP6V/S3se +UusbP+ee7fwYrtm32TSnXNi3XurZA/8BaEBcuw== + "]]}]}, { + EdgeForm[], + GrayLevel[0.899], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJw1k81vTGEUxt+ZO9PO3DuZYcPGxs4fwJKwqVDiI/FNg0qTkpBc+m+IRdul +FdNSglpJCLrph5oiJV2IYOsP0Nl5fnmOxZvznPe+5+N5zrk7r946ebOaUjqv +k+mMyxnTuV2x/VUz/ir8Qvin3nRln+vcqdr+CLyS21+WfSz7veZ8q/Lnhaca +vhvOfE+++cj5smZ/VPeHMvvgt4qdFb6n2G/yZ4TpFzsb+HQrpaGBlE7J3qin +dFT4ob5dFx4RLvVoRN+OCF+SvagzLHxBdkPfJsVvi/Js5uY7OphSX/ePhMuK +a1EbDNdnwbdTM0+4vA/O73LzQC/6pxf0op91+cd0vqjWDvH5rbs3Leeby5zz +Q5HSmvpelV3M/W1J9m7D3BZa1u9waHhwwHmP6ywq5qPeLMl+Ct3QDw2GQodO +9MtMqYnW3HN4Q55u8AP3YnbMcCH0vUL+unO1maH0Oif/RGHNy+BOL2Oh21PF +T6OXcrwWfgB32VeDjrms2HHhP7rPCn9Hw2tVa4RW/dy8+7Gja3r3WbG9wm+Z +KXX/a43OexSzS/595dgmvFV4e1hmOlHxDvBmMna+Hz3DjW/sBn1Qg10lhlh2 +j7zE7s49t43Qdj36QEMw3Jk9us6F5vubnuUB2c2G6/5tuG4n/rsy/gd4UbNX +d2/s5kzsJ9owj3bMrYzZrRR+v1x4bvSDJthu9MYuoCm86b0ddc+0vFtnZfc1 +3cPepmvxBk2YJbyeiPs/qcOY9g== + "]], + PolygonBox[CompressedData[" +1:eJwlks9LlHEQxsdd3913333BPJgXO3Tzrh7LuiT+CDPUCmO1XDooFKz4b6SC +7l8gWmr062RqGIFu2roqKR1CrFMheF299XmYw8DMPPOd78wzz/WnL+4/T5hZ +K1aLHYRmP0h0pMwexGbLkVkvcRHwDX45a7YfmP0hbqK2RO4t/gn2lXgO+4D/ +HtsF+0b9HvXH9PiXNmvPmHUlzbqxW/iN1NRTO1lj1oA/Qv0Y9aPUD+OXyZ2a +99zDX8PyYD3Ml2O+fuwe8R3iQfwClkt5j1X+G4gdU05Ykfk+0quT/29m/A/9 +1Q3+GHyLuFDjM+/gD5O7CzZO/JK3Vf6fAP9Njwvth73DX8CmwIdi73VEz0Pi +Crj4fQW+j79J7hf+EvaFeDTtvZ5RtIb/F1tOOqfb4FXqLxPOmbi7RlxX6zfQ +LW5kfBe90VtxKC4PwCvgl5Hf6goz5MGT5M6IZ6lpASuJ48B31u7KCWumpg2/ +j9yjwDUgLTyMXRviXNx/B68Ezom4WYlcK9KQtHTOnz8TXrNL7WfwRfDX2Ezo +nIk7cSyupSFpSZzuRM6huJwnXo/8jd6Kk4vQNSVtSUNXwW9nXFviWFxLg9Ki +bq7bi2NxrZ23mac18l01o2Z9kvVbH8LXJ+KNyP+W5qS9zchvpxvoFtOh31Y7 +abf/pyR+SQ== + "]]}]}, { + EdgeForm[], + GrayLevel[1.], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJwtUs0ug1EUPEp87eURaOIlxMbfK3gBIcS3YlE/iYdAF7wEq4aNhVS6qJ+0 +vALdtJI2ISm6M2NmcXLOPffcOTPzfXObe2u7hYhYQIwjfosRO2hUkWvIFUQX +/Rz5CrE/FtGejLhE3Ud/uRTxjvyD+Sb6x+h3cF5xn/ecJ842YmAsznQzYS9i +5ilpXwM4d0kczlD3cH9gDp8hHO59TuqfY2appPoC9dBznDkqCOcD9WFBMz3f +MxPzK8Sp48xZ8r7NpHFjSj3isD9blAd17G8mYVDHVibtI/TaiOuJiFaSZ7nf +Vu0t9a1Py4/TooL1Y5IG8qQ+8vk2J+qu2UPyH1lDxWfyaPibPSTds/9mXdQJ +2v/fYt7aeD/0DDny+3WMybm+9w/8dsbaW/DkFTtuoPEl6V3uf6Oc6cyauWxf +7u1FvahgvVoSF+6iLuLyHT0+sSf0Kfd/Qw//ALdMc/U= + "]], + + PolygonBox[{{2197, 629, 630, 2764}, {2295, 226, 615, 2296}, { + 2365, 232, 629, 2366}, {2192, 615, 631, 2751}, {2761, 613, + 690, 2762}, {2752, 372, 684, 2753}, {2809, 634, 1822, + 3261}, {2913, 683, 1846, 3266}, {2764, 630, 1204, 2766}, { + 3261, 1822, 372, 2076}, {2751, 631, 1205, 2768}, {2369, 684, + 226, 2368}, {3266, 1846, 613, 2190}, {2760, 690, 232, + 2759}}]}]}}, {{}, + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{1892, 2809, 3261, 2076, 3021, 2077, 2752, 2753, + 2240, 2369, 2368, 2367, 2295, 2296, 2193, 2750, 2192, 2751, + 2768, 2767}], + + LineBox[{1978, 2913, 3266, 2190, 3167, 2191, 2761, 2762, + 2243, 2760, 2759, 2024, 2365, 2366, 2198, 2763, 2197, 2764, + 2766, 2765}]}, "0.9299999999999999`"], + Annotation[#, 0.9299999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{1897, 2819, 2611, 2613, 3230, 2612, 2030, 3019, + 3020, 2807, 2808, 1891, 1979, 3015, 3016, 3014, 3018, 3017, + 2025, 2582, 2583, 2581, 3023, 3022}], + + LineBox[{1970, 2897, 2731, 2733, 3242, 2732, 2257, 3159, + 3160, 3156, 3158, 3157, 3186, 1977, 2912, 2911, 3164, 3163, + 2258, 2748, 2749, 2747, 3166, 3165}]}, "0.868`"], + Annotation[#, 0.868, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2078, 2584, 2586, 2585, 2026, 2932, 2933, 2471, + 2470, 2587, 2261, 1898, 2821, 2820, 3033, 3032, 2244, 3037, + 3038, 3034, 3036, 3035, 2266, 1904, 2492, 2493, 2491, 2035, + 2630, 3231, 2631, 2629, 2829}], + + LineBox[{2189, 2744, 2746, 2745, 2469, 2468, 2580, 2579, + 1969, 2019, 3152, 3153, 3151, 3155, 3154, 2075, 3141, 3142, + 2887, 2888, 1956, 2010, 2716, 2563, 2564, 2444, 2718, 2889, + 3241, 2890, 2717, 3143, 2891}]}, "0.806`"], + Annotation[#, 0.806, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2079, 2588, 2080, 2589, 2027, 2934, 2935, 2473, + 2472, 2590, 2262, 1899, 2373, 2372, 2615, 2614, 2245, 2619, + 2620, 2616, 2618, 2617, 2267, 1905, 2382, 2381, 2633, 2632, + 2249, 2637, 2638, 2634, 2636, 2635, 2270, 1908, 2497, 2498, + 2496, 2040, 2648, 2111, 2647, 2839}], + LineBox[{2187, 2742, 2188, 2743, 2467, 2466, 2578, 2577, + 1968, 2018, 3149, 3150, 2728, 2730, 2729, 2074, 2714, 2715, + 2413, 2886, 1955, 2009, 3139, 3140, 2711, 2713, 2712, 2069, + 2697, 2698, 2409, 2873, 1950, 2006, 2696, 2557, 2558, 2438, + 2699, 2874, 3122, 2157, 3121, 2875}]}, "0.744`"], + Annotation[#, 0.744, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{1893, 2810, 3257, 2028, 2936, 2937, 2475, 2474, + 2591, 2263, 1900, 2375, 2374, 2090, 2621, 2246, 2624, 2092, + 2622, 2091, 2623, 2268, 2269, 2101, 3048, 2100, 3049, 1982, + 2832, 2831, 2830, 2102, 2272, 2271, 2389, 2388, 2387, 2112, + 2649, 2250, 2653, 2113, 2650, 2652, 2651, 2274, 1910, 2502, + 2503, 2500, 2044, 2501, 2116}], + + LineBox[{2144, 3264, 3265, 3247, 2689, 2435, 2552, 2551, + 2687, 2002, 1942, 2868, 2405, 2143, 2688, 2064, 2695, 2154, + 2694, 2153, 3118, 2005, 2255, 2156, 3119, 2155, 3120, 2288, + 2883, 2882, 2881, 2168, 2256, 2008, 2885, 2884, 2412, 2169, + 2710, 2073, 2727, 2178, 2726, 3148, 3147, 2017, 1967, 2575, + 2576, 2463, 2464, 2465, 2910}]}, "0.6819999999999999`"], + Annotation[#, 0.6819999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{1894, 2811, 3258, 2029, 2938, 2476, 2478, 2477, + 2592, 2264, 1901, 2377, 2376, 2093, 2247, 1980, 2823, 2822, + 3039, 3040, 2945, 2944, 2036, 2946, 2947, 2495, 2494, 2639, + 2273, 1909, 2841, 2840, 3058, 3057, 2251, 3062, 3063, 3059, + 3061, 3060, 2275, 1911, 2505, 2506, 2504, 2045, 3072, 3073, + 3071, 2117, 1984, 2252, 2118, 2659, 2661, 2660, 2277, 1913, + 2509, 2510, 2507, 2047, 2508, 2121}], + + LineBox[{2138, 3263, 2684, 3246, 2683, 2433, 2545, 2544, + 2682, 1998, 1933, 2859, 2400, 2137, 2287, 2286, 2867, 2866, + 2865, 3107, 3106, 2686, 2434, 2550, 2549, 2685, 2001, 1941, + 2864, 2863, 3105, 3104, 2063, 3116, 3117, 3113, 3115, 3114, + 2004, 1949, 2561, 2562, 2442, 2443, 3137, 3138, 3135, 2167, + 3136, 2291, 2292, 2177, 2725, 3146, 3145, 2016, 1966, 2573, + 2574, 2460, 2461, 2462, 2909}]}, "0.62`"], + Annotation[#, 0.62, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{1895, 2812, 2813, 2479, 2481, 2480, 2593, 2265, + 2380, 2379, 2378, 2094, 2248, 1981, 1902, 2948, 2949, 2914, + 2915, 2916, 1906, 3232, 2103, 2041, 2956, 2042, 2499, 2655, + 2654, 2276, 1912, 2847, 2846, 3075, 3074, 2253, 3079, 3080, + 3076, 3078, 3077, 2278, 1914, 2850, 2512, 2049, 2511, 2048, + 3087, 2125, 3086, 2124, 3085, 3084, 2917, 2968, 2967, 3083, + 1986, 2254, 2123, 2664, 2122, 2665, 2279, 1916, 2518, 2519, + 2515, 2517, 2516, 2672}], + + LineBox[{1976, 2021, 2459, 2458, 2572, 2571, 1965, 2015, + 3144, 2175, 2724, 2176, 2290, 2289, 3134, 3012, 3013, 3010, + 2068, 3011, 2151, 3111, 2152, 3112, 2437, 2436, 2062, 2556, + 2862, 1940, 2000, 2142, 3101, 3103, 3102, 2060, 3099, 3100, + 2857, 2858, 1930, 1997, 2679, 2680, 2543, 2057, 2432, 2681, + 2136, 3237, 1931, 3001, 2058, 3000, 3003, 3002, 1932, 2284, + 2285, 2134, 2396, 2853, 2854, 1994, 2677, 2534, 2535, 2431, + 2678, 3256, 1995, 2923}]}, "0.558`"], + Annotation[#, 0.558, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwNz70uQwEYBuBPI6lio4oN99NE3YGB1lDBzOgvUf8SRRWzSpT2BlTZjNRk +7RV0wjM8ec/7fsnJOVPzy7liX0TMkk9G/A5G/PGYiniizsdQxLRthme9SYMf ++xbbbLLLDl1K7LPHIQf0OOaEI844JTUcUZYXnJMYiLiUNVl3e5BZ5rjXc/LK +vV8uyBHbi28flRX9mkXSess+Jqv6DXky+qt9XN7qdxSY0Nv2Sfnp/75YZ8V/ +N2xvbqueO7ZvNljTm27vbkve8Q/CQDEc + "]], + LineBox[CompressedData[" +1:eJwV0DlOQlEUgOFDQXiAm3BFJEY3YC2DSm0cC2oTwMQKcQQVHBtx6E0sKGwU +cWAffhRfzj3/a969s4vluVIqIgrcZyL+2MtGNMnlIrJ0tRENrU6iZWhp76zm +I1Z44Zl9bciyc4UnHtnV3ig7lxjwQE17pei8RJL4F3NHO5iJWLDP06dl39bv +fE/br81bbtjS++YVF/S4ZFPvmuec0uGMDf3YPKHNEYesT9/BPSd888sPa/qX +OeaDEZ9UvcU/cv41JQ== + "]]}, "0.496`"], Annotation[#, 0.496, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{1917, 2280, 2281, 2129, 2671, 2128, 3090, 2330, + 2670, 1987, 3253, 2669, 2428, 2514, 2513, 2668, 2127, 2667, + 2666, 2427, 2051, 3088, 3089, 2851, 2852, 2327, 2119, 2219, + 3250, 2218, 2326, 2216, 3269, 2217, 2114, 2212, 3249, 2211, + 2321, 2209, 3268, 2210, 2104, 2316, 2834, 2833, 3197, 3196, + 2038, 2955, 2037, 3260, 2625, 2095, 3042, 2489, 2490, 2488, + 2597, 2596, 3025, 2300, 2770, 2199, 2769, 2200, 2260, 2259, + 2297}], + + LineBox[{1919, 2282, 2283, 2224, 2393, 2394, 2395, 2331, + 1926, 2537, 2538, 2536, 2540, 2539, 2856, 2855, 2542, 2054, + 2541, 2055, 3209, 3210, 3208, 2227, 2337, 2135, 2228, 3236, + 1928, 2338, 1937, 3238, 2233, 2141, 2234, 3239, 1938, 2344, + 1947, 3240, 2238, 2149, 2349, 2150, 3108, 3110, 3109, 2067, + 2439, 2440, 2441, 2879, 2880, 2565, 2566, 2452, 2453, 2013, + 1963, 2359, 2908, 2907, 2423, 2186, 2294, 2293, 2364}]}, + "0.434`"], Annotation[#, 0.434, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{1915, 2328, 2329, 2221, 2797, 2220, 3207, 2325, + 2663, 1985, 3252, 2662, 2426, 2046, 2848, 3262, 2120, 3082, + 2849, 2322, 2115, 3204, 2214, 3203, 2213, 2318, 3066, 3067, + 3065, 3069, 3068, 2107, 3199, 3200, 3198, 2206, 2313, 3052, + 3053, 3051, 2105, 3054, 2096, 2311, 2824, 2785, 2205, 2786, + 2031, 2939, 2940, 2599, 2598, 3026, 2304, 2772, 2201, 2771, + 2202, 2299, 2298, 2301}], + + LineBox[{1927, 2332, 2333, 2226, 2397, 2398, 2399, 2334, + 1934, 2547, 2548, 2546, 2059, 2799, 2231, 2798, 2230, 2341, + 2140, 3211, 2232, 2860, 2861, 1936, 2342, 1945, 2870, 2869, + 3213, 3212, 2147, 3215, 3216, 2871, 2872, 1946, 2347, 1953, + 2878, 2877, 2239, 3217, 2163, 2351, 2165, 2708, 2166, 2709, + 2072, 2450, 2451, 2012, 1962, 2356, 2906, 2905, 2422, 2184, + 2361, 2360, 2363}]}, "0.372`"], + Annotation[#, 0.372, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2081, 2305, 2302, 2303, 2203, 2773, 2775, 2774, + 2307, 3027, 2600, 2601, 2942, 2941, 2032, 2788, 2789, 2787, + 2825, 2826, 2312, 2836, 2835, 2383, 2106, 2640, 2097, 2793, + 2207, 2384, 2385, 2386, 2317, 2845, 2844, 3070, 2656, 2843, + 3233, 2842, 2043, 2425, 2657, 3244, 1983, 2658, 2320, 3205, + 3206, 2796, 2215, 2324, 2323, 2392, 2391}], + + LineBox[{2185, 2362, 2357, 2358, 2182, 2421, 2904, 1974, + 2354, 1961, 2011, 2449, 2448, 2071, 2706, 2707, 2705, 2164, + 3133, 2348, 2703, 2161, 2702, 2162, 2704, 2148, 2802, 2237, + 2801, 2236, 3214, 2343, 2691, 2146, 2690, 2693, 2692, 2061, + 2553, 2555, 2554, 1943, 2339, 1935, 2402, 2401, 2229, 2336, + 2335, 2404, 2403}]}, "0.31`"], + Annotation[#, 0.31, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2083, 2306, 2082, 2779, 2204, 2776, 2778, 2777, + 2308, 3028, 3029, 2603, 3259, 2033, 2943, 2034, 3192, 3193, + 2827, 2828, 1903, 2314, 1907, 2838, 2837, 3056, 3055, 2039, + 2424, 2641, 2642, 2644, 2643, 2315, 3201, 3202, 2794, 2208, + 2795, 2110, 2319, 2390}], + + LineBox[{2183, 2355, 2174, 2740, 2180, 2419, 2902, 1973, + 2353, 1960, 2896, 2447, 2446, 2445, 2070, 3131, 3132, 3128, + 3130, 3129, 2346, 3124, 3125, 3123, 3127, 3126, 2066, 2559, + 2065, 2560, 2876, 1951, 2345, 1944, 2407, 2406, 2235, 2800, + 2139, 2340, 2408}]}, "0.248`"], + Annotation[#, 0.248, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2108, 2645, 2109, 2646, 2099, 2791, 2792, 2790, + 3195, 3194, 2310, 3044, 3045, 3043, 3047, 3046, 2087, 3190, + 3191, 3187, 3189, 3188, 2309, 2781, 2782, 2780, 2784, 2783, + 2084, 2602, 2085, 2370, 2816}], + + LineBox[{2159, 2700, 2160, 2701, 2145, 2803, 2804, 2410, + 2411, 1952, 2350, 1957, 2893, 2892, 3219, 3218, 2170, 3220, + 3221, 2894, 2895, 1959, 2352, 1972, 2900, 2417, 2737, 2736, + 2173, 2741, 2181, 2420, 2903}]}, "0.186`"], + Annotation[#, 0.186, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2098, 2626, 2628, 2627, 2089, 2755, 2756, 2754, + 2806, 2805, 3223, 2607, 2608, 2606, 2610, 2609, 2086, 2604, + 2605, 2371, 2817}], + + LineBox[{2171, 2721, 2723, 2722, 2158, 2719, 2720, 2414, + 2415, 1958, 2758, 1971, 3243, 2757, 2416, 2735, 2734, 2172, + 2738, 2739, 2418, 2901}]}, "0.124`"], + Annotation[#, 0.124, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2241, 3224, 3226, 3225, 2194, 3174, 3175, 3173, + 2195, 2022, 3169, 3170, 3168, 3172, 3171, 2088, 3030, 3031, + 2818, 3267, 3248}], + + LineBox[{2242, 3227, 3229, 3228, 2196, 3184, 3185, 3181, + 3183, 3182, 2023, 3177, 3178, 3176, 3180, 3179, 2179, 3161, + 3162, 2898, 3222, 2899}]}, "0.062`"], + Annotation[#, 0.062, "Tooltip"]& ], {}, {}}}], {}}, { + DisplayFunction -> Identity, DisplayFunction -> Identity, + Ticks -> {Automatic, Automatic}, AxesOrigin -> {0., 0.}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines -> {None, None}, AxesLabel -> { + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + FrameLabel -> {{None, None}, {None, None}}, DisplayFunction -> + Identity, AspectRatio -> 1, Axes -> True, AxesLabel -> { + FormBox[ + TagBox["x", HoldForm], TraditionalForm], + FormBox[ + TagBox["y", HoldForm], TraditionalForm]}, DisplayFunction :> + Identity, FrameLabel -> {{None, None}, {None, None}}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLinesStyle -> Directive[ + GrayLevel[0.5, 0.4]], + Method -> { + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, + "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + PlotRangeClipping -> True, PlotRangePadding -> {{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, Ticks -> {Automatic, Automatic}}], + StyleBox[ + "\"\[PartialD]NOT(x, y)\"", FontFamily -> "Helvetica", StripOnInput -> + False]}, "Labeled", DisplayFunction -> (GridBox[{{ + TagBox[ + ItemBox[ + PaneBox[ + TagBox[#, "SkipImageSizeLevel"], + Alignment -> {Center, Baseline}, BaselinePosition -> Baseline], + DefaultBaseStyle -> "Labeled"], "SkipImageSizeLevel"]}, { + ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, + GridBoxAlignment -> {"Columns" -> {{Center}}, "Rows" -> {{Center}}}, + AutoDelete -> False, + GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + BaselinePosition -> {1, 1}]& ), + InterpretationFunction -> (RowBox[{"Labeled", "[", + RowBox[{#, ",", #2, ",", + RowBox[{"{", "}"}]}], "]"}]& )]}}, AutoDelete -> False, + GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Grid"], "\"\""}, + + "Labeled", + DisplayFunction->(GridBox[{{ + TagBox[ + ItemBox[ + PaneBox[ + TagBox[#, "SkipImageSizeLevel"], Alignment -> {Center, Baseline}, + BaselinePosition -> Baseline], DefaultBaseStyle -> "Labeled"], + "SkipImageSizeLevel"]}, { + ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, + GridBoxAlignment -> {"Columns" -> {{Center}}, "Rows" -> {{Center}}}, + AutoDelete -> False, + GridBoxItemSize -> {"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + BaselinePosition -> {1, 1}]& ), + InterpretationFunction->(RowBox[{"Labeled", "[", + RowBox[{#, ",", #2, ",", + RowBox[{"{", "}"}]}], "]"}]& )]], "Output", + CellChangeTimes->{ + 3.887950947390402*^9, {3.8879509833730183`*^9, 3.887951000281637*^9}, + 3.88795104496268*^9, 3.887953807696247*^9}, + CellLabel-> + "Out[717]=",ExpressionUUID->"3e0e7be6-f942-4856-9482-954888c9561c"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"Export", "[", + RowBox[{ + "\"\\"", ",", "notPlot"}], "]"}]], "Input", + CellChangeTimes->{{3.88788873708232*^9, 3.8878887556134853`*^9}, { + 3.887888802666031*^9, 3.887888814026066*^9}}, + CellLabel-> + "In[284]:=",ExpressionUUID->"805f0b64-9f8a-41f4-a1f1-4af571d9de84"], + +Cell[BoxData["\<\"/home/wright/coding/discrete-differentiable-networks/docs/\ +not-plot.png\"\>"], "Output", + CellChangeTimes->{3.887888815138461*^9}, + CellLabel-> + "Out[284]=",ExpressionUUID->"99b91004-b5a8-47ca-bbf3-1b6e5cc21b95"] }, Open ]] }, Open ]], @@ -1091,7 +8083,7 @@ a00ef17060bc"], Cell[BoxData[ RowBox[{ - RowBox[{"f", "[", + RowBox[{"and", "[", RowBox[{"x_", ",", "y_"}], "]"}], ":=", RowBox[{"Module", "[", RowBox[{ @@ -1103,44 +8095,50 @@ Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"2", "m"}], ">", "1"}], ",", "\[IndentingNewLine]", - RowBox[{ - FractionBox["1", "2"], "+", - RowBox[{ - FractionBox["1", "2"], - RowBox[{"(", - RowBox[{"x", "+", "y"}], ")"}], "*", - RowBox[{"(", - RowBox[{"m", "-", - FractionBox["1", "2"]}], ")"}]}]}], ",", "\[IndentingNewLine]", - RowBox[{"m", "+", + RowBox[{"Evaluate", "[", RowBox[{ - FractionBox["1", "2"], - RowBox[{"(", - RowBox[{"x", "+", "y"}], ")"}], - RowBox[{"(", - RowBox[{ - FractionBox["1", "2"], "-", "m"}], ")"}]}]}]}], + FractionBox["1", "2"], "+", + RowBox[{ + FractionBox["1", "2"], + RowBox[{"(", + RowBox[{"x", "+", "y"}], ")"}], "*", + RowBox[{"(", + RowBox[{"m", "-", + FractionBox["1", "2"]}], ")"}]}]}], "]"}], ",", + "\[IndentingNewLine]", + RowBox[{"Evaluate", "[", + RowBox[{"m", "+", + RowBox[{ + FractionBox["1", "2"], + RowBox[{"(", + RowBox[{"x", "+", "y"}], ")"}], + RowBox[{"(", + RowBox[{ + FractionBox["1", "2"], "-", "m"}], ")"}]}]}], "]"}]}], "\[IndentingNewLine]", "]"}]}], "\[IndentingNewLine]", "]"}]}]], "Input",\ - CellChangeTimes->{{3.887192868869769*^9, 3.887192940293351*^9}}, - CellLabel->"In[51]:=",ExpressionUUID->"22895057-e1d1-41c2-80b2-57dde1a50fb5"], + CellChangeTimes->{{3.887192868869769*^9, 3.887192940293351*^9}, { + 3.887857241855695*^9, 3.887857242526318*^9}, {3.887857303646645*^9, + 3.887857309183412*^9}}, + CellLabel->"In[4]:=",ExpressionUUID->"22895057-e1d1-41c2-80b2-57dde1a50fb5"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"{", RowBox[{ - RowBox[{"f", "[", + RowBox[{"and", "[", RowBox[{"1", ",", "1"}], "]"}], ",", - RowBox[{"f", "[", + RowBox[{"and", "[", RowBox[{"1", ",", "0"}], "]"}], ",", - RowBox[{"f", "[", + RowBox[{"and", "[", RowBox[{"0", ",", "1"}], "]"}], ",", - RowBox[{"f", "[", + RowBox[{"and", "[", RowBox[{"0", ",", "0"}], "]"}]}], "}"}]], "Input", CellChangeTimes->{{3.887193046061488*^9, 3.887193047094839*^9}, - 3.8871931080627747`*^9, 3.887193247092787*^9}, - CellLabel->"In[54]:=",ExpressionUUID->"b708a848-d1c8-47b2-9c1a-473efc8630eb"], + 3.8871931080627747`*^9, 3.887193247092787*^9, {3.887857247057778*^9, + 3.8878572547261343`*^9}}, + CellLabel->"In[5]:=",ExpressionUUID->"b708a848-d1c8-47b2-9c1a-473efc8630eb"], Cell[BoxData[ RowBox[{"{", @@ -1149,8 +8147,9 @@ Cell[BoxData[ FractionBox["1", "4"], ",", "0"}], "}"}]], "Output", CellChangeTimes->{ 3.887192990069903*^9, {3.8871930477109222`*^9, 3.887193068547625*^9}, - 3.8871931086988373`*^9, 3.887193247460602*^9}, - CellLabel->"Out[54]=",ExpressionUUID->"9f41507b-8e7a-4e66-af45-502bc5a07228"] + 3.8871931086988373`*^9, 3.887193247460602*^9, {3.887857255149514*^9, + 3.887857310308711*^9}}, + CellLabel->"Out[5]=",ExpressionUUID->"3e5a61ba-1080-4c8c-9a48-e8501a161912"] }, Open ]], Cell[CellGroupData[{ @@ -1163,8 +8162,10 @@ Cell[BoxData[ RowBox[{"x", ",", "y"}], "]"}], ",", RowBox[{"{", RowBox[{"x", ",", "y"}], "}"}]}], "]"}]], "Input", - CellChangeTimes->{{3.887193075123945*^9, 3.887193078667647*^9}}, - CellLabel->"In[53]:=",ExpressionUUID->"caccb912-10d2-4737-85cf-ff531c529c38"], + CellChangeTimes->{{3.887193075123945*^9, 3.887193078667647*^9}, { + 3.8878572580834713`*^9, 3.8878572581911097`*^9}, {3.887857330702976*^9, + 3.887857364690342*^9}, {3.887857414933938*^9, 3.8878574153280573`*^9}}, + CellLabel->"In[20]:=",ExpressionUUID->"caccb912-10d2-4737-85cf-ff531c529c38"], Cell[BoxData[ TagBox[GridBox[{ @@ -1221,80 +8222,4393 @@ Cell[BoxData[ GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{Automatic}}, "Rows" -> {{1}}}], "Grid"]], "Output", - CellChangeTimes->{3.8871930793454027`*^9, 3.887193109704795*^9}, - CellLabel->"Out[53]=",ExpressionUUID->"f524cecd-3a83-4987-939b-5c239090e61e"] + CellChangeTimes->{ + 3.8871930793454027`*^9, 3.887193109704795*^9, 3.887857258489987*^9, { + 3.887857289070277*^9, 3.887857334406679*^9}, 3.887857365102057*^9, + 3.8878574157090883`*^9}, + CellLabel->"Out[20]=",ExpressionUUID->"e52c61e5-e997-46d2-9261-1d88979553d4"] }, Open ]] }, Open ]], Cell[CellGroupData[{ -Cell["OR", "Section", +Cell["M-AND", "Section", CellChangeTimes->{{3.887192854921034*^9, 3.8871928636330957`*^9}, { - 3.887254238166834*^9, - 3.887254238242547*^9}},ExpressionUUID->"ecbfc1dc-1226-4fd6-8ae9-\ -3eb4d7046417"], + 3.887856450704668*^9, + 3.887856451045491*^9}},ExpressionUUID->"9d001fa3-9a05-45a7-9d23-\ +42ce6167be0c"], Cell[BoxData[ RowBox[{ - RowBox[{"f", "[", - RowBox[{"x_", ",", "y_"}], "]"}], ":=", - RowBox[{"Module", "[", + RowBox[{"(*", RowBox[{ - RowBox[{"{", - RowBox[{"m", "=", - RowBox[{"Max", "[", - RowBox[{"x", ",", "y"}], "]"}]}], "}"}], ",", "\[IndentingNewLine]", - RowBox[{"If", "[", + RowBox[{"MAnd", "[", "x_List", "]"}], ":=", + RowBox[{"Module", "[", RowBox[{ - RowBox[{ - RowBox[{"2", "m"}], ">", "1"}], ",", "\[IndentingNewLine]", - RowBox[{ - FractionBox["1", "2"], "+", + RowBox[{"{", RowBox[{ - FractionBox["1", "2"], - RowBox[{"(", - RowBox[{"x", "+", "y"}], ")"}], "*", - RowBox[{"(", - RowBox[{"m", "-", - FractionBox["1", "2"]}], ")"}]}]}], ",", "\[IndentingNewLine]", - RowBox[{"m", "+", - RowBox[{ - FractionBox["1", "2"], - RowBox[{"(", - RowBox[{"x", "+", "y"}], ")"}], - RowBox[{"(", - RowBox[{ - FractionBox["1", "2"], "-", "m"}], ")"}]}]}]}], - "\[IndentingNewLine]", "]"}]}], "\[IndentingNewLine]", "]"}]}]], "Input",\ - - CellChangeTimes->{{3.8872542448006973`*^9, 3.8872542452338667`*^9}}, - CellLabel-> - "In[186]:=",ExpressionUUID->"9acf8a22-c3d5-4f2b-b139-26e62cb20ce9"], - + RowBox[{"m", "=", + RowBox[{"Min", "[", "x", "]"}]}], ",", + RowBox[{"\[Mu]", "=", + RowBox[{"Mean", "[", "x", "]"}]}], ",", "\[Delta]"}], "}"}], ",", + "\[IndentingNewLine]", + RowBox[{ + RowBox[{"\[Delta]", "=", + RowBox[{"\[Mu]", " ", + RowBox[{"Abs", "[", + RowBox[{"m", "-", + RowBox[{"1", "/", "2"}]}], "]"}]}]}], ";", "\[IndentingNewLine]", + RowBox[{"If", "[", + RowBox[{ + RowBox[{"m", ">", + RowBox[{"1", "/", "2"}]}], ",", + RowBox[{"Evaluate", "[", + RowBox[{ + RowBox[{"1", "/", "2"}], "+", "\[Delta]"}], "]"}], ",", + RowBox[{"Evaluate", "[", + RowBox[{"m", "+", "\[Delta]"}], "]"}]}], "]"}]}]}], + "\[IndentingNewLine]", "]"}]}], "*)"}], "\[IndentingNewLine]", + RowBox[{ + RowBox[{"MAnd", "[", "x_List", "]"}], ":=", + RowBox[{"Margin", "[", + RowBox[{ + RowBox[{"Min", "[", "x", "]"}], ",", "x"}], "]"}]}]}]], "Input", + CellChangeTimes->{{3.887856456518004*^9, 3.887856538621016*^9}, { + 3.8878565826829557`*^9, 3.887856583558114*^9}, {3.887856811564433*^9, + 3.88785681733559*^9}, {3.887862260577973*^9, 3.887862344659226*^9}, { + 3.887862426537381*^9, 3.887862564953312*^9}, {3.887862599217264*^9, + 3.8878626060410643`*^9}, {3.887868485063743*^9, 3.887868505584077*^9}, + 3.887870088267851*^9, 3.8878725408610067`*^9}, + CellLabel-> + "In[120]:=",ExpressionUUID->"63b0927e-1423-4230-8354-74ec73664aa1"], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"{", + RowBox[{ + RowBox[{"MAnd", "[", + RowBox[{"{", + RowBox[{"1", ",", "1"}], "}"}], "]"}], ",", + RowBox[{"MAnd", "[", + RowBox[{"{", + RowBox[{"1", ",", "0"}], "}"}], "]"}], ",", + RowBox[{"MAnd", "[", + RowBox[{"{", + RowBox[{"0", ",", "1"}], "}"}], "]"}], ",", + RowBox[{"MAnd", "[", + RowBox[{"{", + RowBox[{"0", ",", "0"}], "}"}], "]"}]}], "}"}]], "Input", + CellChangeTimes->{{3.887856547798881*^9, 3.8878565697450867`*^9}}, + CellLabel-> + "In[121]:=",ExpressionUUID->"01420a54-12d3-4669-a976-7589d241d8d7"], + +Cell[BoxData[ + RowBox[{"{", + RowBox[{"1", ",", + FractionBox["1", "4"], ",", + FractionBox["1", "4"], ",", "0"}], "}"}]], "Output", + CellChangeTimes->{{3.88785655796075*^9, 3.887856586267123*^9}, + 3.887856819869664*^9, 3.8878573710333443`*^9, {3.88786231803084*^9, + 3.887862345943931*^9}, {3.887862464202323*^9, 3.887862481851426*^9}, + 3.887862566262671*^9, 3.887862607001815*^9, 3.887868495282103*^9, { + 3.887870090183979*^9, 3.887870115157048*^9}, 3.887872542350716*^9}, + CellLabel-> + "Out[121]=",ExpressionUUID->"9003b7f2-c593-4fd0-a920-439d2c506529"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"{", + RowBox[{ + RowBox[{"MAnd", "[", + RowBox[{"{", + RowBox[{"1", ",", "1", ",", "1"}], "}"}], "]"}], ",", + RowBox[{"MAnd", "[", + RowBox[{"{", + RowBox[{"1", ",", "0", ",", "1"}], "}"}], "]"}], ",", + RowBox[{"MAnd", "[", + RowBox[{"{", + RowBox[{"0", ",", "1", ",", "1"}], "}"}], "]"}], ",", + RowBox[{"MAnd", "[", + RowBox[{"{", + RowBox[{"0", ",", "0", ",", "1"}], "}"}], "]"}]}], "}"}]], "Input", + CellChangeTimes->{{3.8878567696668053`*^9, 3.887856779073307*^9}}, + CellLabel-> + "In[122]:=",ExpressionUUID->"f8143155-353b-42cd-b265-1cbe4d8bf3ff"], + +Cell[BoxData[ + RowBox[{"{", + RowBox[{"1", ",", + FractionBox["1", "3"], ",", + FractionBox["1", "3"], ",", + FractionBox["1", "6"]}], "}"}]], "Output", + CellChangeTimes->{3.8878567795206223`*^9, 3.887856821933949*^9, + 3.8878573715734797`*^9, 3.88786235449367*^9, 3.887862483010323*^9, + 3.887862567368923*^9, 3.887862607507863*^9, 3.887868496266727*^9, + 3.8878701183040533`*^9, 3.8878725431249313`*^9}, + CellLabel-> + "Out[122]=",ExpressionUUID->"9b9c5e67-a5fa-4b59-96bb-a5796a8e2987"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"{", + RowBox[{ + RowBox[{"MAnd", "[", + RowBox[{"{", + RowBox[{"1", ",", "1", ",", "0"}], "}"}], "]"}], ",", + RowBox[{"MAnd", "[", + RowBox[{"{", + RowBox[{"1", ",", "0", ",", "0"}], "}"}], "]"}], ",", + RowBox[{"MAnd", "[", + RowBox[{"{", + RowBox[{"0", ",", "1", ",", "0"}], "}"}], "]"}], ",", + RowBox[{"MAnd", "[", + RowBox[{"{", + RowBox[{"0", ",", "0", ",", "0"}], "}"}], "]"}]}], "}"}]], "Input", + CellChangeTimes->{{3.887856791556711*^9, 3.887856797099951*^9}}, + CellLabel-> + "In[123]:=",ExpressionUUID->"70f15975-4515-4d40-b737-1d640abed03f"], + +Cell[BoxData[ + RowBox[{"{", + RowBox[{ + FractionBox["1", "3"], ",", + FractionBox["1", "6"], ",", + FractionBox["1", "6"], ",", "0"}], "}"}]], "Output", + CellChangeTimes->{{3.887856797569421*^9, 3.887856824009942*^9}, + 3.887857372096271*^9, 3.887862355879404*^9, 3.887862483675007*^9, + 3.887862568233671*^9, 3.887862608000176*^9, 3.887868497049837*^9, + 3.8878725438953247`*^9}, + CellLabel-> + "Out[123]=",ExpressionUUID->"fe0751d6-4de1-4baa-ad59-640ae45b7ece"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"PiecewiseExpand", "[", + RowBox[{ + RowBox[{"MAnd", "[", + RowBox[{"{", + RowBox[{"x", ",", "y"}], "}"}], "]"}], ",", + RowBox[{ + RowBox[{"x", ">", "0"}], "&&", + RowBox[{"x", "<", "1"}], "&&", + RowBox[{"y", ">", "0"}], "&&", + RowBox[{"y", "<", "1"}]}]}], "]"}]], "Input", + CellChangeTimes->{{3.8878568252634706`*^9, 3.887856828607362*^9}, { + 3.887856865934547*^9, 3.887856921438949*^9}, {3.887872833633418*^9, + 3.8878728779872093`*^9}, {3.8878729446963873`*^9, 3.8878729449962673`*^9}, { + 3.8878729965603733`*^9, 3.887873002746558*^9}, {3.887873039469101*^9, + 3.887873076271089*^9}}, + CellLabel-> + "In[151]:=",ExpressionUUID->"d4341366-564d-4f31-a0d3-1dfbd999a622"], + +Cell[BoxData[ + TagBox[GridBox[{ + {"\[Piecewise]", GridBox[{ + { + RowBox[{ + FractionBox["1", "4"], " ", + RowBox[{"(", + RowBox[{ + RowBox[{"5", " ", "x"}], "-", + RowBox[{"2", " ", + SuperscriptBox["x", "2"]}], "+", "y", "-", + RowBox[{"2", " ", "x", " ", "y"}]}], ")"}]}], + RowBox[{ + RowBox[{"x", "<", + FractionBox["1", "2"]}], "&&", + RowBox[{ + RowBox[{"x", "-", "y"}], "\[LessEqual]", "0"}]}]}, + { + RowBox[{ + FractionBox["1", "4"], " ", + RowBox[{"(", + RowBox[{"2", "-", "x", "+", + RowBox[{"2", " ", + SuperscriptBox["x", "2"]}], "-", "y", "+", + RowBox[{"2", " ", "x", " ", "y"}]}], ")"}]}], + RowBox[{ + RowBox[{"x", ">", + FractionBox["1", "2"]}], "&&", + RowBox[{"y", ">", + FractionBox["1", "2"]}], "&&", + RowBox[{ + RowBox[{"x", "-", "y"}], "\[LessEqual]", "0"}]}]}, + { + RowBox[{ + FractionBox["1", "4"], " ", + RowBox[{"(", + RowBox[{ + RowBox[{"3", " ", "x"}], "+", + RowBox[{"2", " ", + SuperscriptBox["x", "2"]}], "-", "y", "+", + RowBox[{"2", " ", "x", " ", "y"}]}], ")"}]}], + RowBox[{ + RowBox[{"(", + RowBox[{ + RowBox[{"x", "\[Equal]", + FractionBox["1", "2"]}], "&&", + RowBox[{ + RowBox[{"x", "-", "y"}], "\[LessEqual]", "0"}]}], ")"}], "||", + RowBox[{"(", + RowBox[{ + RowBox[{"x", "\[GreaterEqual]", + FractionBox["1", "2"]}], "&&", + RowBox[{ + RowBox[{"x", "-", "y"}], "\[LessEqual]", "0"}], "&&", + RowBox[{"y", "\[LessEqual]", + FractionBox["1", "2"]}]}], ")"}]}]}, + { + RowBox[{ + FractionBox["1", "4"], " ", + RowBox[{"(", + RowBox[{"x", "+", + RowBox[{"5", " ", "y"}], "-", + RowBox[{"2", " ", "x", " ", "y"}], "-", + RowBox[{"2", " ", + SuperscriptBox["y", "2"]}]}], ")"}]}], + RowBox[{ + RowBox[{"y", "<", + FractionBox["1", "2"]}], "&&", + RowBox[{ + RowBox[{"x", "-", "y"}], ">", "0"}]}]}, + { + RowBox[{ + FractionBox["1", "4"], " ", + RowBox[{"(", + RowBox[{"2", "-", "x", "-", "y", "+", + RowBox[{"2", " ", "x", " ", "y"}], "+", + RowBox[{"2", " ", + SuperscriptBox["y", "2"]}]}], ")"}]}], + RowBox[{ + RowBox[{"x", ">", + FractionBox["1", "2"]}], "&&", + RowBox[{"y", ">", + FractionBox["1", "2"]}], "&&", + RowBox[{ + RowBox[{"x", "-", "y"}], ">", "0"}]}]}, + { + RowBox[{ + FractionBox["1", "4"], " ", + RowBox[{"(", + RowBox[{ + RowBox[{"-", "x"}], "+", + RowBox[{"3", " ", "y"}], "+", + RowBox[{"2", " ", "x", " ", "y"}], "+", + RowBox[{"2", " ", + SuperscriptBox["y", "2"]}]}], ")"}]}], + TagBox["True", + "PiecewiseDefault", + AutoDelete->True]} + }, + AllowedDimensions->{2, Automatic}, + Editable->True, + GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{1.}}}, + GridBoxSpacings->{"Columns" -> { + Offset[0.27999999999999997`], { + Offset[0.84]}, + Offset[0.27999999999999997`]}, "Rows" -> { + Offset[0.2], { + Offset[0.4]}, + Offset[0.2]}}, + Selectable->True]} + }, + GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{1.}}}, + GridBoxSpacings->{"Columns" -> { + Offset[0.27999999999999997`], { + Offset[0.35]}, + Offset[0.27999999999999997`]}, "Rows" -> { + Offset[0.2], { + Offset[0.4]}, + Offset[0.2]}}], + "Piecewise", + DeleteWithContents->True, + Editable->False, + SelectWithContents->True, + Selectable->False, + StripWrapperBoxes->True]], "Output", + CellChangeTimes->{ + 3.8878568290333977`*^9, {3.887856866592823*^9, 3.887856921908496*^9}, + 3.8878573731040382`*^9, 3.887862358279643*^9, 3.88786248517994*^9, + 3.8878625696096478`*^9, 3.887862608964546*^9, 3.887868498081414*^9, + 3.887872545103942*^9, {3.887872834017961*^9, 3.887872878399869*^9}, + 3.887872947053286*^9, 3.887873003117008*^9, {3.887873045403521*^9, + 3.887873076650774*^9}}, + CellLabel-> + "Out[151]=",ExpressionUUID->"eeacde09-4fb5-4eca-b87e-e7c3adaf8d5d"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"PiecewiseExpand", "[", + RowBox[{ + RowBox[{"and", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", + RowBox[{ + RowBox[{"x", ">", "0"}], "&&", + RowBox[{"x", "<", "1"}], "&&", + RowBox[{"y", ">", "0"}], "&&", + RowBox[{"y", "<", "1"}]}]}], "]"}]], "Input", + CellChangeTimes->{{3.8878568990732327`*^9, 3.8878569289689627`*^9}, { + 3.887857376904579*^9, 3.887857378633005*^9}, {3.887872951758851*^9, + 3.8878729618806973`*^9}, {3.887873006626189*^9, 3.887873009724758*^9}, { + 3.887873048608575*^9, 3.887873079809146*^9}}, + CellLabel-> + "In[152]:=",ExpressionUUID->"472cbbf1-5926-42c7-9ef0-26d1f1f7d1b6"], + +Cell[BoxData[ + TagBox[GridBox[{ + {"\[Piecewise]", GridBox[{ + { + RowBox[{ + FractionBox["1", "4"], " ", + RowBox[{"(", + RowBox[{ + RowBox[{"5", " ", "x"}], "-", + RowBox[{"2", " ", + SuperscriptBox["x", "2"]}], "+", "y", "-", + RowBox[{"2", " ", "x", " ", "y"}]}], ")"}]}], + RowBox[{ + RowBox[{"(", + RowBox[{ + RowBox[{"x", "\[LessEqual]", + FractionBox["1", "2"]}], "&&", + RowBox[{ + RowBox[{"x", "-", "y"}], "\[LessEqual]", "0"}]}], ")"}], "||", + RowBox[{"(", + RowBox[{ + RowBox[{ + RowBox[{"x", "-", "y"}], "\[LessEqual]", "0"}], "&&", + RowBox[{"y", "\[LessEqual]", + FractionBox["1", "2"]}]}], ")"}]}]}, + { + RowBox[{ + FractionBox["1", "4"], " ", + RowBox[{"(", + RowBox[{"2", "-", "x", "+", + RowBox[{"2", " ", + SuperscriptBox["x", "2"]}], "-", "y", "+", + RowBox[{"2", " ", "x", " ", "y"}]}], ")"}]}], + RowBox[{ + RowBox[{"x", ">", + FractionBox["1", "2"]}], "&&", + RowBox[{"y", ">", + FractionBox["1", "2"]}], "&&", + RowBox[{ + RowBox[{"x", "-", "y"}], "\[LessEqual]", "0"}]}]}, + { + RowBox[{ + FractionBox["1", "4"], " ", + RowBox[{"(", + RowBox[{"x", "+", + RowBox[{"5", " ", "y"}], "-", + RowBox[{"2", " ", "x", " ", "y"}], "-", + RowBox[{"2", " ", + SuperscriptBox["y", "2"]}]}], ")"}]}], + RowBox[{ + RowBox[{"(", + RowBox[{ + RowBox[{"x", "\[LessEqual]", + FractionBox["1", "2"]}], "&&", + RowBox[{ + RowBox[{"x", "-", "y"}], ">", "0"}]}], ")"}], "||", + RowBox[{"(", + RowBox[{ + RowBox[{ + RowBox[{"x", "-", "y"}], ">", "0"}], "&&", + RowBox[{"y", "\[LessEqual]", + FractionBox["1", "2"]}]}], ")"}]}]}, + { + RowBox[{ + FractionBox["1", "4"], " ", + RowBox[{"(", + RowBox[{"2", "-", "x", "-", "y", "+", + RowBox[{"2", " ", "x", " ", "y"}], "+", + RowBox[{"2", " ", + SuperscriptBox["y", "2"]}]}], ")"}]}], + TagBox["True", + "PiecewiseDefault", + AutoDelete->True]} + }, + AllowedDimensions->{2, Automatic}, + Editable->True, + GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{1.}}}, + GridBoxSpacings->{"Columns" -> { + Offset[0.27999999999999997`], { + Offset[0.84]}, + Offset[0.27999999999999997`]}, "Rows" -> { + Offset[0.2], { + Offset[0.4]}, + Offset[0.2]}}, + Selectable->True]} + }, + GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{1.}}}, + GridBoxSpacings->{"Columns" -> { + Offset[0.27999999999999997`], { + Offset[0.35]}, + Offset[0.27999999999999997`]}, "Rows" -> { + Offset[0.2], { + Offset[0.4]}, + Offset[0.2]}}], + "Piecewise", + DeleteWithContents->True, + Editable->False, + SelectWithContents->True, + Selectable->False, + StripWrapperBoxes->True]], "Output", + CellChangeTimes->{{3.887856905944065*^9, 3.887856929517396*^9}, { + 3.887857373788185*^9, 3.8878573791758003`*^9}, 3.8878623593896027`*^9, + 3.887862486220752*^9, 3.8878625706888447`*^9, 3.887862609370139*^9, + 3.8878725461943808`*^9, 3.8878729627197933`*^9, 3.887873010532527*^9, { + 3.887873052256221*^9, 3.887873080198612*^9}}, + CellLabel-> + "Out[152]=",ExpressionUUID->"46a0ed84-c476-4773-b9a3-798a581ae124"] +}, Open ]], + +Cell["MAnd is identical to and in the case of two variables!", "Text", + CellChangeTimes->{{3.887857130114312*^9, 3.8878571445323277`*^9}, { + 3.887857493061467*^9, 3.887857495030737*^9}, {3.887862486846755*^9, + 3.887862487621011*^9}, {3.887862571550935*^9, + 3.88786257215483*^9}},ExpressionUUID->"010aa824-de6f-449b-900b-\ +f1dca5d05adb"], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{ + RowBox[{"ForAll", "[", + RowBox[{ + RowBox[{"{", + RowBox[{"x", ",", "y"}], "}"}], ",", + RowBox[{ + RowBox[{"x", ">", "0"}], "&&", + RowBox[{"x", "<", "1"}], "&&", + RowBox[{"y", ">", "0"}], "&&", + RowBox[{"y", "<", "1"}]}], ",", + RowBox[{ + RowBox[{"MAnd", "[", + RowBox[{"{", + RowBox[{"x", ",", "y"}], "}"}], "]"}], "==", + RowBox[{"and", "[", + RowBox[{"x", ",", "y"}], "]"}]}]}], "]"}], "//", "Resolve"}]], "Input", + CellChangeTimes->{{3.8878725870365877`*^9, 3.88787262308724*^9}, { + 3.887872718392234*^9, 3.887872768386648*^9}}, + CellLabel-> + "In[144]:=",ExpressionUUID->"26f47126-a4c5-4787-a11d-9dd432fdb3ef"], + +Cell[BoxData["True"], "Output", + CellChangeTimes->{{3.887872594323347*^9, 3.8878726234075317`*^9}, { + 3.8878727311560497`*^9, 3.8878727359356813`*^9}, {3.887872769229536*^9, + 3.887872776553059*^9}, 3.887872966346757*^9}, + CellLabel-> + "Out[144]=",ExpressionUUID->"fc54d27d-718c-4ecd-ab42-ec04fd741014"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"Manipulate", "[", + RowBox[{ + RowBox[{"Plot", "[", + RowBox[{ + RowBox[{"{", + RowBox[{ + RowBox[{"and", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", + RowBox[{"MAnd", "[", + RowBox[{"{", + RowBox[{"x", ",", "y"}], "}"}], "]"}]}], "}"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"PlotRange", "->", + RowBox[{"{", + RowBox[{ + RowBox[{"{", + RowBox[{"0", ",", "1"}], "}"}], ",", + RowBox[{"{", + RowBox[{"0", ",", "1"}], "}"}]}], "}"}]}], ",", + RowBox[{"GridLines", "->", + RowBox[{"{", + RowBox[{"{", + RowBox[{"1", "/", "2"}], "}"}], "}"}]}]}], "]"}], ",", + RowBox[{"{", + RowBox[{"y", ",", "0", ",", "1"}], "}"}]}], "]"}]], "Input", + CellChangeTimes->{{3.887856985475479*^9, 3.887857033082117*^9}, { + 3.887857085744154*^9, 3.887857093120468*^9}, {3.887857381862907*^9, + 3.887857382534298*^9}, {3.887872555572083*^9, 3.8878725702315283`*^9}}, + CellLabel-> + "In[128]:=",ExpressionUUID->"18072b24-b2f9-4bfb-9ea8-b1301ef21e23"], + +Cell[BoxData[ + TagBox[ + StyleBox[ + DynamicModuleBox[{$CellContext`y$$ = 0, Typeset`show$$ = True, + Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", + Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = + "\"untitled\"", Typeset`specs$$ = {{ + Hold[$CellContext`y$$], 0, 1}}, Typeset`size$$ = { + 360., {113., 116.64199019669311`}}, Typeset`update$$ = 0, + Typeset`initDone$$, Typeset`skipInitDone$$ = True}, + DynamicBox[Manipulate`ManipulateBoxes[ + 1, StandardForm, "Variables" :> {$CellContext`y$$ = 0}, + "ControllerVariables" :> {}, + "OtherVariables" :> { + Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, + Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, + Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, + Typeset`skipInitDone$$}, "Body" :> Plot[{ + $CellContext`and[$CellContext`x, $CellContext`y$$], + $CellContext`MAnd[{$CellContext`x, $CellContext`y$$}]}, \ +{$CellContext`x, 0, 1}, PlotRange -> {{0, 1}, {0, 1}}, GridLines -> {{1/2}}], + "Specifications" :> {{$CellContext`y$$, 0, 1}}, "Options" :> {}, + "DefaultOptions" :> {}], + ImageSizeCache->{406., {156.6875, 162.3125}}, + SingleEvaluation->True], + Deinitialization:>None, + DynamicModuleValues:>{}, + SynchronousInitialization->True, + UndoTrackedVariables:>{Typeset`show$$, Typeset`bookmarkMode$$}, + UnsavedVariables:>{Typeset`initDone$$}, + UntrackedVariables:>{Typeset`size$$}], "Manipulate", + Deployed->True, + StripOnInput->False], + Manipulate`InterpretManipulate[1]]], "Output", + CellChangeTimes->{{3.887857009022521*^9, 3.887857047597962*^9}, + 3.887857093662039*^9, 3.887857383344293*^9, 3.88786236585179*^9, + 3.8878624890175257`*^9, 3.887862573662325*^9, 3.887862610929051*^9, + 3.8878685364802723`*^9, {3.887872548467721*^9, 3.887872570759809*^9}}, + CellLabel-> + "Out[128]=",ExpressionUUID->"393d52a1-31a4-45ac-8fa1-71fcc92ba871"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[{ + RowBox[{ + RowBox[{"andp1", "=", + RowBox[{"ContourPlot", "[", + RowBox[{ + RowBox[{"Min", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"{", + RowBox[{"y", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"Contours", "->", "10"}], ",", + RowBox[{"ContourShading", "->", "Automatic"}], ",", + RowBox[{"ColorFunction", "->", "GrayLevel"}], ",", + RowBox[{"Frame", "->", "False"}], ",", + RowBox[{"Axes", "->", "True"}], ",", + RowBox[{"AxesLabel", "->", + RowBox[{"{", + RowBox[{"x", ",", "y"}], "}"}]}]}], "]"}]}], + ";"}], "\[IndentingNewLine]", + RowBox[{ + RowBox[{"andp1", "=", + RowBox[{"Labeled", "[", + RowBox[{"andp1", ",", + RowBox[{"Style", "[", + RowBox[{"\"\\"", ",", + RowBox[{"FontFamily", "->", "\"\\""}]}], "]"}]}], "]"}]}], + ";"}], "\[IndentingNewLine]", + RowBox[{ + RowBox[{"andp2", "=", + RowBox[{"ContourPlot", "[", + RowBox[{ + RowBox[{"and", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"{", + RowBox[{"y", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"Contours", "->", "10"}], ",", + RowBox[{"ContourShading", "->", "Automatic"}], ",", + RowBox[{"ColorFunction", "->", "GrayLevel"}], ",", + RowBox[{"Frame", "->", "False"}], ",", + RowBox[{"Axes", "->", "True"}], ",", + RowBox[{"AxesLabel", "->", + RowBox[{"{", + RowBox[{"x", ",", "y"}], "}"}]}]}], "]"}]}], + ";"}], "\[IndentingNewLine]", + RowBox[{ + RowBox[{"andp2", "=", + RowBox[{"Labeled", "[", + RowBox[{"andp2", ",", + RowBox[{"Style", "[", + RowBox[{"\"\<\[PartialD]AND(x, y)\>\"", ",", + RowBox[{"FontFamily", "->", "\"\\""}]}], "]"}]}], "]"}]}], + ";"}], "\[IndentingNewLine]", + RowBox[{"andPlot", "=", + RowBox[{"Labeled", "[", + RowBox[{ + RowBox[{"Grid", "[", + RowBox[{"{", + RowBox[{"{", + RowBox[{"andp1", ",", "andp2"}], "}"}], "}"}], "]"}], ",", + "\"\<\>\""}], "]"}]}]}], "Input", + CellChangeTimes->{{3.887889412385578*^9, 3.8878894213745327`*^9}, { + 3.8878894772197533`*^9, 3.88788947837814*^9}, {3.887889707138771*^9, + 3.887889726791423*^9}, 3.8878900657956963`*^9, {3.8878901844705963`*^9, + 3.887890184614126*^9}, {3.887890380362569*^9, 3.887890451422278*^9}, { + 3.8878906617255383`*^9, 3.887890663823348*^9}, {3.8879496961749477`*^9, + 3.887949699746958*^9}, {3.88795101245874*^9, 3.887951074548613*^9}, { + 3.887953815257319*^9, 3.887953820283689*^9}}, + CellLabel-> + "In[718]:=",ExpressionUUID->"fa1bbf4c-38c7-4a93-bdfd-d8759f5fc390"], + +Cell[BoxData[ + TemplateBox[{ + TagBox[ + GridBox[{{ + TemplateBox[{ + GraphicsBox[{ + GraphicsComplexBox[CompressedData[" +1:eJy1nQmYXkWVsIEBZFVQloyAG6jgEnBEFAFLRh5FBxyWwAiKLApuIApCAMUF +SAYRFeF3Y//DCIQgYCDdxAZMOkl3OglJL0k6nXR3+uvtS+9hGxgZ8f++qvue +wzk3dzqO/Hl4nuLUrVu3zqmz1Tmnvn77eRefcv5222yzzQ/33GabanvzQZ+u +/Dc3bJP9S3C9wBtqLqr8t9w9bxU4Pt6wVuD1qUPgV/5a/bdR4F/E93sFPrAK +3twv8Lz4+qDAn4ofHBK4I84/IvA34gLHBE7/NjtY8QQ/YPCzz1sFBj9g8AMG +P2DwAwY/YPADBj9g8AMGP7tPmx2s++bxtPjVO/zqHX71Dr96h1+9w6/e4Vfv +8Kt3+NU7/OodfvUOvzwfbnnfPJ6tAoMfMPgBgx8w+AGDHzD4AYMfMPgBg5+V +o80OVrnaMh/W5/ACtvvX6vav1e1fq9u/Vrd/rW7/Wt3+tbr9a3X71+r2L68n +tixX9bl98ngBgx8w+AGDHzD4AYMfMPgBgx8w+Fk9t9nBqve2rCfqc3zn98nj +BQx+wOAHDH7A4AcMfsDgBwx+Vm9vDkV6fMt6rz4nR57v/D55vIDBDxj8gMEP +GPyAwQ8Y/Kwd2hyK7NKW9Xh9Ti94OfJ85/fJ4wUMfsDgBwx+wOAHDH7Wrm4O +RXYW/Lze9nrO6wUvR57v/D55vIDBDxj8gMEPGPysn7A5FPkN4OftkNfbXs95 +veDlyPOd3yePFzD4AYMfMPhZv2dzKPKDwM/bVW+HvN72es7rBS9Hnu/8Pnm8 +gMEPGPysH7c5FPl14Of9BG9XvR3yetvrOa8XvBx5vvP75PECBj/rl24ORX4q ++Hm/x/sJ3q56O+T1ttdzXi94OfJ85/fJ42X97M2hyO8Gvy37cd7v8X6Ct6ve +Dnm97fWc1wtejjzf+X3yeLG+WQXniVnZesfdOH3Pj+N9C2+W50X9/rs8t/03 +OzpPBNuPH639tPTT+nmKvmPxzX8ntXU5etj+ubnn9Cf8G2Q8Lf3wl39u+a5Z +xtPSDz/65/QntFbLeFr6Lf/qc/qPj//TIeNp6Yff/XP6L4wL6ZLxtPQjH/65 +7S/JeDtfSeTJP7f+WZ+Mp6Uf+fPP6U/zDch4WvqtH6HPrT9RlvG09CPf/jn9 +N8V1DMt4Wvqt3dPn9L8jrmNUxtPSj/7wz609GpfxtPSjb/xzaw+8nMwtlAPa +Ij63+jfPx7RFfEpbxIe0RXxGW8RH1m/O8wltER9YPy2/z7RF+0hbtE/WDo9n +9Jzj9Oic7HlNRucFOTgNX5zRoSkHfzMOfzrE7oNacnD6TltI067JwRH9v7Zn +9FyfgxMdOzN6defgtJ6ejM6lHJzw4TzTl4MTHgMZnQdzcNrfckbnTTk4fWco +PBbnHc7B6Tsj4ZNx3rEcnL4zLnJi7W6N7JeVn1kOniv7Yvev2c3bLHLHPvGe +1ecNAlt5bJP3kCvmBUYu2UfeQ86YFxg5ZV95z+rpDieHG2Sfec/KYZfA9jzf +6/hjwNmdAWcnBhy/lN28ZWcXyo5/hmVeYGsHhhw/jcq8wFbvj8h7yDXzAls9 +Py7vWX1b4/a1TuSZfvYRfkCebf9a2X/2hf2z+rPDnbc7nd3tEnn153Crl/ty +51b2w54Ty+4cpTD0Qz9CP/xDYOTT+9ne/tFv5aVO8AYGT/u8JDB42PEDAoMH +MOsEZj3AVu/Xyf6xz9ZeNjh5bJD1AbM+O35AYNYHbPmywdmpBlkfsNdT2AfW +zfqsvik5/usTmPUBsz5gu+/Nbj+bZX1ej/7PerIuR9ciPWn91Q6njzpkvcCs +F5j12u+NF/Kd32dLpy7nl3YF6892OX3WJd+3848X8rnnK7+PXs8j7+gFS4+S +o0fJ0aPk6JGXM8/Xno/8Pnm7gn/AOlkPz1mP/d54oZx7ufJ87PnE75u3Y15v +eDn1cuH5zvOB3Ze8HQS/Ij3l9YKXQ8/nnu/8vtt9yOtBr3e8nHs58nzt+crv +q7fT6fsTYje8HvZ6z+sZL8derjxfe77y++D9AruuiZyfP5nfPZnfi11hXusn +ql9h4bacXwHMd1kXeoB1pe/0Sr/1J9AnAzm/AZh1gxf0AS/8J+8HbHl/a5xf +Vef0W5PYCWuHOwQ/6/fqeRV8ab0eAl97zuxzcqqtP2+Cr8U7zze0W+bnGtlP +8AUfb78tnrqf7Bf42PV6/Vp2cqv5A7sva53e3+D04kaBbd6szuWZ6lxeps7l +Mepc3L8uFxfBTwS2reaRoavNszbIeoFtHq/B5b0aXJ6oweVVGlzcp8HFCxpk +vcCsFzrTD2zj382yXmAb/2528e9mF/9udvHvZhf/bnZ+ebOs1/trnq7AVv/m ++cTvg/UPNrhzYoc7r3QIPsDgAww+wOBj/cXNOX/O84Gn8/987uoXObTn0C5Z +H7A9L3XJ+qz/uDnn73m+9Pvu6ebPgT5PiZ6w9Cs5+pUc/UqOfqWcXHu58Xzp +99Xq436nv/rd+bPP5fX6XB6sT9bn/UEvt14uPF/5ffR08+fkIj3m9YSXQ8/H +nm/8Pvlzuc37lQV/7y96veTl3suN51PPF34fiuICXm97vej1jpdbLyeeLz0f +8H0fhyiyG14ve73n9YaXUy8Xng/9vvi4SPx85Txu4wdNYt/xG4FpeY/zkvVX +9JyHX2n9Fz1npXUsELok//LJbB3zxV+054bu7HmX+Hs2nk58dkjw8Xre+yne +D01+XY/zW/pyeRn8FO9nEp+DXviJ2CX8pTRve/Z8nTsfDzg557zGOa6czb9Q +6GX9dez4sux7jc6fIu7bko1vFTjRa3X23Y1Cb+uHs8/Qp+T0KPFR9HK/wGn8 +QEa3Edkv6Ah918VxY9k+j7q8kMa7oLPN42Hve2Vf7bmhU+js4xE2rzDu8jbj +ss+JjhMCp/UtzuVZ4O8kN0tkv9J+5OP+wKmtyeUB/LksvVdfGIf3frqPy/tz +mY/Hbzkvw/w9jj+6cnF8L28275uPo/tzgY+r+3Oej6f7PI3Nj44Kv9n8rMaR +vXz7+h/OwchXbfzeSqEf+hGYfUDOkXvrV/WKPCV69Ql+Pm9l/QPVC/CJ1wP2 +/NYo6/Z6zsabVK5Zl89zQSdg5BS5TfRaJPyOHobvLTxX6ApfI9eW70tOD5Qc +fXuE7uABnL6j/Gr3eUBgm8cdEbqDp+VL1V/IIXixHxavBoF9nQPrhx8sfr25 +vL7lb83zA285b7vcxWfgg2bHh5oXt/Yb/uhzemK1+AvwPzD7Y/3MAfEP4G9g +W8/YKfPZONFakU/rh2hdIPyOfFp8VwgMneB35A9803iVT+hk9fty0e9evqyc +9+TkyfqLKj/Mb/2IxY6/emR/gG0cd0TsFDD8g16APtDBzr9C+MPqCc27W/7t +Ff6ALsgv/gV+CPyPfNo8Yaf4C74uEvmzfvqQ85PVn7D+cpfbhyGhO/orfW9c ++Ac6pPfWi/5O3+kQGP6BDmm+TaKf03cU5ntpHZwfNsh8rNfOPyTvWz+3LPoH +fcv62Qfobu3DWuEvG2foEnx8/hY+sHrSn8OGBD+fb/XxVtZr63a6nH0eEr/K +nw/8ecDSpUv0Pv3obegK/0FH62+r3YR/07rbcnYSfsX/9XbR1pd1ihx6/xH8 +kBvshrVr6meBJ63VA+WcnwMdbDsi81t+U/8COkAX8IYO4Gnlrjlnv/mOzcPo +/F4fo2eYH/uGfWG92A/Wa+tI2oXOdp9V3mzcQ/NnyI+Niy0XfIBt3Ge52Dlg +GxdZ7vJcy13eabnwh7Uva0SOWY+V61Luvhb2mX1jHotHhzyHrnbejlxcwNOF +95FLv07e57mnI+/78xj6B3oBQy9rX8dd3F/3hfl9HAK9xvzAzO/vp9j8bJPM +4+tOwYPnng94H761/lZZ3ue5r0v1cRbPV8yPXvR0tHI7nKODz6t5PmV+5N3v +C/Nbfb8853+k/oncPvI+z7EX2AEbH+2Wddv11uX0auJ/PYcnvtQ4SnpvUc5v +t+c89QusXsRuqh319WqW3/tyfoM9dw3l4iS+Hszy6XjOrwBO31sjdszWQ1Df +pXEby6eah05yPVe+j35nn4CtXW1y8YAmZ7+aHH2I76icebts9XmT2DErl+O5 +76OH+D6wz2MX5T2L8OK5jy/ZuOOA828HXVzE2yW1Y1YPdLo4yQahB8+tXHc6 +e7tB6MVz5NT7J4yHnjxnv4v21Z6TS7I+q99HnJ5Uufd8YenS5+jWJ/Pb8+qI +wJ6vLN3y++LrDjwfWjrm96ko713Ex5bOw7l99HT0eHs5YD6rHzpdvFr3Ablm +371ce7mycdY8X/h9tXmpfBzV192gt5K+mhB9jL5FTtO6WyVuXRTXtnxUcvKo +cemiuDV4WH06P5e3wO7Yc4yeU2wd1lAub2HtGN+ZEL0DvknO1gl+Vl9wTis7 +fNbKPuLHWb7eILA9XzWJHfN+mp2v143vc3qy3/HRoPuewtafb3L+eVOuTsnm +CdUvAbZ5vKYcX4M/ehz8gcEfGPy93ofPbJy2lNMLNh5Wysm5zYOWcnJr4x+l +nNz5OhwbJ+9z52V/fu9z9xv63Hmq7OzckNPHI6I/vN3weRTvRxAnYLyP6/j8 +qbffyAet9Xfydaj+fg/yYv28ZlmPvSek8VDW5+/TMo9/j3E27tTv9m2+y/9o +Xi/N05j1K5zI2OTwJY6DvPYKnPi0lMu7pfVRF6/wz+N7Y24falw8VfcDvcM+ +eT3k5c7rIeTOx4XtvfBOd4+609077szxVZHesucsH9dpysm1j4N5Pebl3Muh +12te7r1e83Lv9ZqVl5KrL9js5GSt7Jc917fl4gA2zrtaYJ7jR/EcmOf4STwH +5jl2j+fAPIc/eQ7Mc/wKngPzHLwSu2ocBdjGp9e6uEkpF2fxdsDTvYhOwNau +cI4fFH6z9m8gFwcAP+gMzPOifQDm+0X35Kw+9OsaLNxHYOZn3UX7Csx47FLR +PgMz3trFgVzcxtZ3q10r4hNg5rd2NU9nYOb3foWNWzeJf4hdQM8XjbPnlvm5 +99K66yWuQZwCe+HjFrYepjF0xnaV02fdAuOvWr+5q3Cc9Qv1vbQezvv+XrfG +QZAP7FNq+1w8fdjdtxx2cY+hwnHWrxnK1ZegB6wdW+PqFdRPIG5i82cLBGYf +2Qcbd2qR8Zbf6sTvsPmRjlz8xp9v2BdgG5/tk32x9qrb+UVd4tfYc8wmh3e5 +4Hw0LLA9z44L3ZETG6+bcPHLCRnP/iR+n+XguaLf8UfQ68DQi/ctPFfOV4y3 ++esaF2+f5eC5zv+vcftQ4+zILAfPlbiJ/V5JYGtHZjl4ruw3420dU42zA7Mc +PFf0P+PR+3a+srxv4blyLmA8et/ONyzvW3iu+M+Mhy/sfKPyvoXn5s4d9n5D +TS6PDoyeRN7Qk8gVMN/1dSs+z1VUx+L9DPaL59AfGHoCQx9gX2eIvAEXyYm1 +ezWFclMkJ8CML5Ibe59preDLePgT2NrXtUIPnsOP9v2yjLd5RM0H2veHZTz0 +5Dn8Zt8flfE+Twp/WfzHZTz7wXP0G3CRHrH1dTWFeqVIjwAzvkivWHnocXTX +PC3P7T7pOZrnNt7j64T0HAVcpMcs39QI33i9ZuW31/GB8lUR3/nfGfB+rr1v +31eoNy3f1hTqUS/nlg+Vz4v43ucVivSwlYuaQr3s9Yzlc5WjIrnyeQv439Zx +jsv78D9wkR2wclpTaBe8XrRyp3JcJOc+j1JkV6weqCm0M14vsx7et/yX1yM+ +T+PzGNDV100U1SlCb18HZvO3+Tg7sJW/8ZydsXpd9VyR3vN5JZuHV77hua1f +yfOR3XeNy/N8y+eqLufv6jkh7fcyF8fXOnlbn9slcoq+IG5m65XUn7D16aXc +ui3d9T4m6yFP6+OZdj3qj1s+UvlJeGldXsJbf0fU8nGfi2/35+IGwOwfsNcz +xLmAvRwT5wL2ckWcC5h9tnagxvEl+m+Dk1+tO7T5+RqhA89tfLBL+IDx0IXx +Po7rf/fQxwm8n27rV9tzcU8rJzVCV8b7uKjNu9UInRnv46a+ztLWHdcIHrzv +46z2flTZ4T0kcsL7xM0Y7+OUyb/I++W0aVlrXBwi73fYlvjVUol/ACd5aJb9 +tnkCjUcAp7ZP8INvWV+ad7V838ZJe935ut/xmdIN/WzrG+c7veV/92zIxU1X +uPdaC/ne7yPxovTeSonPpPG94vdz/kHPAkNHW//eJzD7Aoz+AEZfAFs6Py3y +ZM9f62Uf7Hm0150ve915sVfms+M1/pGe6701/Hbyvf5emtXb8925rF7sTepf +7M5l+jsiNg87IP63rVMo5eJAPi7D99GPyJGv2wfm+/Y+VL5u3+8b9gb+g18t +P2qeh3WxftZl8dHzJHyLPPm6/S3nUwccPQYF9v6r1V9jzs6Pufhzl6wLeWQd +9h6SxsGYBzzZf2D2H/2HvaPFz7D6RmE/DrhonM8HAVu92ePyBv6+kN73tOer +ftHPNo6o42wcMj/O50eAE1/NFX2W1vmYyBv91p/a4M4xG2TfbJ7Q36enXkfr +qG1dzpC7X0v8RO+BwcfA0JPzFHkW6jj8vS8rV4tFrtJ39R4K/GPlpMf5MQqz +n5bvR4Tv/T0V7Av4+ns69l7tapHzIrm29Zz5ez22jmzA1UPm5djq+bXyXfxp +9gXYjwMuGmfva3Q4OV5XuO9WzwyK/86+A/txVs/mxwHb+LzyTRFfwRd2/T3O +DvTKPqJXGW/j1Rovs3yd//159tHmaQYFZry1J23C/8CW31tFX6DHrJ7Z4PSK +1mfauqgBd37Q8VbP539n0spXv8uvLxc+B7Z1PMtlvcC+jtzXffs6bV93ndqJ +gu+3FdTtl+Q5MM99ntmut83x1Wq3/jbRpzy3+LSJXPPc4tcm/MNzi29bwe84 +Tjj+aZPn8A35Pvu8J1en7+vqfR083/NyY5+35fwz+MfX5dt6tgEXN+p39QcD +8n3rJ6529xnanN+ov2Nt+X3A+WW6j5wPeG5/R6lN9DXP7X3qNle3PSAw4209 +VZurHxtw9S8D8hw+J/6DfsBfT/OvEHsJXJPZy/TeCjn32N+x6Rb5xt9P7+s9 +T2DrH2ndla3/Gnb2dFj8QuwtMPY2vad1Wfh3lm+bha+BqZMFD/SS/V046qw3 +ir6z92gGxD+DT+y5W/kXuQGGP7jXgB+FnLEeYNaT9q9H1gOf2N8ZGXF+ms6P +fNhz5ITQGzuGnQGGrugF6Gjzo70CWz9W6YTfA9/a+lr9/UcrBxvFjvvf7bN1 +GWUZzznD1mfo7/tYP3Wju/feLXS0dcr+94bHRa6svNW5881GGW/9Ov09RGDo +zX4X8aVdp/Ip9Le/05LnO/v7EcqH1m7k5QY4gnJ+as3iRy3OX8jLhdWnnG/4 +nSn1D/g+9R58H5jv298v51y0Sb4H7OOLCU/9nfi0r3PlXJS+95ird13v8mV6 +TmIf0IPA8Jn/fUlb/6jnKOQQGD1q5x+V52nd+ns6tPTj59r4lfq/9r5Cm+Bl +7fJ62Xd7z2LA1W0OSHyIfUZeUjtL5AX6W7ukv/fOc2CeW/5cIH6YrTdqEfvG +uuzv7Pc7OeyXfbP2oDdn15Ab+3cjvJ0aF7/D2u0JsW/knaALdCqiC7D/HQf/ +OyzUN1m/W+NB1B/Zc6zC6Cm7ngm3LxPiHzAePWfH9zj/y+fbmwvtDLCPgxTZ +GWAbp9Pf1bf5+g1CD+QSP9La5TGRM/t7Lnm+BGbd4O/PfXa/Wp2/1Sr42XNF +r8hT+r7+zgb+WZrP/35mj/hbSS/05H5nA/8p+aOjgh/7zz6hT9gH9Ad8AP7p +O43ufmmT0wPL5H4pMO/DJ9DP103afdwo+5jm0fgN79v834jkF8GffcYfZ5/x +m2ycc8Txpdpbn09K3+fvCa1zftM6Z+f939fBj1HY1z/AP/YcrvrZ3ucacvzT +Jn4K73l9aeO4qh9t3ntc9B76zMbVF8s4YPu8xz2nvqZR+MrW2+rvK9h7cm05 +ugNDdxufGsjR3fqPnAPL7r5du8urrHX6WOPxtp7E/+6nyg/4Ig+27nmRqxNS +/geGHvCrjcOPuH3Qv6+FfEJ3m0f38VD9ezz295VGXX6/XegBvW2+vyz4Q1/W +4fWGXW9eD7BOq8d0XZY/5uTsKPqIfUxtcZ4c2OpXzXsDF+WlgYvyyMBW7y52 +dYQbcnl2nyf3eXCvl3zemvMgMPYZvO05Q+/9+b+nCh/x3NdJ+LoIfz7xfxfQ +1336e3nA+GO+bsLXGfi/p+jrRvku44GtvcQvutnx1R8z/J9w+WG9d4AdTc85 +L3S5/LHeC8DOJrqA37DEOay9nnDrmyXrtO0s57+pHqefeAD6nJb+NO62bL5r +pLX9c4U+lk7+7w+qn4FcYhet/VxdeC62cWr9+3s23r3R+fv5v1dXdG62cRXN +J9Dv+RC5BS/0Gfqcln6bt3za8csKaW3/ancO0rgtLf3IpdVjPWI/aK2eVT8b +fkzzaH7Z8umAs6saN6WlH7mz+Sq1X7T0w5/2/qz6HbT0J7wfyd67V1r6aRMe +j8nvnuD/0NJPy74R50jzql+Mn0Fr/YH1EregpZ92y3Gcbmnpp2XfiJsk/la/ +Aj+Gln5bv6Et/bQ+LsQ5l5Z+2i37y2PCh9h3+MDec2oXOgBDJ/yEot+Rs3Rp +d/Rql/XZvOKwwFvOi3e5fLjmtZEv8LH8rfcfi+wK/MH78AlwGq/xNFr62U++ +Z+M70FPjabT0Y6/S92qlpR/+T/xe5+IqT4r9Snh3Sks/9Of8YPVut9iz1D8k +Lf3sj73PNuz2jfgWvxfNuQh/O38PHDi9n7/3DVx0zxsY/ct+2fNDSfQEegM+ +tPJd9LuGxXzs4/+Mh4+RV5v3VngyOfD5AivX7UJ3WvrTstbl9gU40bUs+0RL +f6J/ObePwGl+rfvxdTY2DzTq6NPu7Br7UHJ0LTm9M+L0zKjANn6nv18JnPhj +qfAbLf22flJb+v8S1zcq/EZLP3Jo8w4at2RfkZvkNzwl/ikt/Wl8t/ijtPSn +76v/af1Q/XtXaV5t0X/4E/izNg/UJ3YYu2zjGeuFr9H/aX+bxf5Sd4r9S/K+ +xJ17e8QPsnlEPR/zXpqfevMl0tLPPMyb+JJ6EW3pt/Uf6rcnedOW/vSdZRLn +s34E9TNrRb7gZ/u7c1ofk+itcmd/12JM/KP0vduEP7AH4G35uNnd410jdp6W +fpu/WSct/fAb9gO6IRf2/m2fs3/a0m/zP2UXP9sk/GvPVSpn+JGce7bJ/iU6 +XOPOPfp32O3vM+nfcWcc79HPuJrM70AOaOlPzTyx077Oytft0dp7PWqnfV2U +r+OjtXFEtdPwJ3Eq7Cv6zcZ7l4mc4segF1J/q/OTVsu4RJ82sXMWT/29Vew3 ++tPGh0uiF/CDbB7Q110OuDzkgLODmgcgzoZ/gH6m38aR1c5jn2zerUf2x977 +LrtzEfswIvsB/dP7y2QfgKEPfg90Amb9+D3gAWz10LLC77AOGxcq/i7rQg/Z +uo/8OlgnfO/1SZIP/TsijPP9lu+1tfFglQ/fj721/Kj+MPaX/ULfsF/o7TRe +/Vf8IOQi0V1/141+zgEJHz0neDi9R33iRuev6+8z2/ilnhN8Xt7D6T30rfIj +dtH+br3yN/rd8rv+nQnsIfOhn4ETnivc3/nWvx+R8Opx+6Hrg5+ZB/4lj+br +6OFX8mg+TmO/2yd+caL/OvFz8WvpZxz9jEOukCfkBnlBLpAH+AI+gW/ohy/g +G/bZ/g6dxmvYZ/gAOkE3S/cVQjerF3pdnFzpCR2hq62T0biBrWtsFj/T1lfp +vfqEv7aJfmtE3g7K/Cb6GefriO3vD6nfhB9l73sM5uJwPg52UGbP0/fmij1P +7z3qzoUbxF6n720Qe2zvs3HvZEjsa5q/WewdfrGPm6Vx1zi/Zq6sk3WwLvt3 +z/T+FX4Pfgl4WbnuFLlj3cneL8zF39J7+EELZF5bV0Sdpuoz9FEa35/Jx7CT +90XyPWC+l/BYLN/Df4Gf8SfgV/t3X8ZkHO8xjvcYZ+9pPSnrAbb4PyHr4RwG +vpy7wC+9v9DtwxKZH5j5Oc8wPu1/g8BpXL3A6DnkDz2H/CX6jwuewNQV0Fp/ +4lHhF/gcfoGv4RfkFn0JbM/rGk8Axn+ycfDVIpfEbZCLhPe489PWyTxef1s/ +fF32XPW58bN/kK3rCPKd3CNod3kN8nF6vkNPAUf6NGVxkjdqXQDfS/ZS9ZaN +Bw+6/OJjst9WL9XJc/iR5+AJ3uAFnun9OS5++IjEWdE3wLZeBz+KfE6X6CNg +e99pWOICxLt8XR32Af6B/uCB/od/oC94gQd4se4ivMDD5qWK8bL3IxWPIrzg +D/ABhn/Yf/ABhj+s3nvE3VNaL36YreMjLz1L8E399woMfex9sQ7B18bzu9y+ +D4m/Db62blPzcU80vHjffo2PCL3vu+xtB7zt+oXC1+f9Zs+vzX1wWWY3lovf +ctqaphPrpq4QP2nVB6cvv3d2a5j+xd9fPXLV2gzfteHLZ3fcffjuao9/fP83 +llx9F3VGG8Oz+8+9rG+K+je0h72v56Hzr9S6rfqTDjn2hvr+sPcFx936vjnk +XQbDTy5Y/96Tn6febCi85ScHPnXZMZoPuyjzew5+3bY/2b88Fpb9n0/NKz90 +d/j8Y5+5+Ny+e8KsD7eXP3v4E2GvI7Zf9Zb7/igt/VOm7vHk/I81hlN+f+8j +b7+iIdQ8+vR/PXr7qvDOd/3jP9z7geZw0ePHnPCR0yvnpwt3/eTos+vCHUe1 +fOtHm7rCkd+9/esfmqEt/efW/+Ez5x9TCoed9+tP/WnXUlh6YKmjb1pfGP30 +nzt/PLMv7HHLjdu2TdkUhi+89JX3lcvh/mlrb3nx3OFw+fN1N518mLb0H3Xl +W9+1/5zRsPM/7nDg5VeOhgdnzrluzxcq+nfarkNNC8ez+Sey+SdC98wNi677 +0i/DDdddtPD6s34Wxke//cCavWrC98aPW7TDrNqw4b/Pfstfpi4O3/zl4vf8 +8oXFofbdQ5e++80rw0E/v+4rPz/1aWnp37ZrZvcX7moLj980bd0eR2tL/2Hn +vLlCp3Xh6bsG/vuMle3S0v/spulvv+ecznDa7AffPbGoM7yxpopHTzii8y0V +vHrC0m2++vjHn+8Ns9Z/dt6t9drSf+Y7q/QcCEf8tUpPbel/frCKdznUz+yp +0EFb+k+ac8iFO905FH6063EXP7RqKIxGuo+EPeM+jIZZtWsqdB4P3//FExW6 +a0v/p0/4px1P+NKCcOFXbnvuK0f+KTx4yhn/2v3vTWGwZeKfP7lwqbT0f/fZ +j1X4pSXs80+7VPilWVr6Pz3vjgq/VPzpbZsr/LImrLvl+flv2n1juOlT9Y82 +zu4OM+I6S2FaXLe29E857KeVdfeHwVWXVPDok5b+q+P6B7P1D4aGSMfhjK7D +4ezIn2NhauRPbem/K/JxSzg68rW29Ce+7A/TI59qS/+P9qw7+s9nPR5e/6af +nfaekfkZ/p3hqoh/V7beobBvXO9w2H3f6yt81B4eOP3UCl9pS3+Sp3I4NK5T +W/qpX54z3H/vWfu2Zue8/jA16pf+cN6Cwyv7tzTcHpZX5LpRWvqfi3xSCgsj +32hL/9N3VOk3Gm4/pko/benH3pWvnPefv6/ge/Sqzvffdu8fRc9/PbNvU1dc +f/gZFfxn/N9TrtlrRv7vVT0T9eRwuP11v97/2MP0d92xU/s23LbXkSv1700N +/rbu/LZp+vcAVl66dO1PK/hc8ZYvXLJ9hR/T+43iV69se+vJt1bwueKp7V96 +8Y5SFj/S3we/74afvu/kCj6nXHZJ20O76u9LMy/fYV6+w7x8h3n5DvP6v2vF +d6AbdIRu0BG6QUfoBh2hG3SEbtAR+3Xa3vudMWuT8gl8g/257tiXX7fTeco3 +8BHrWvXcOxf8aeKJcNWdr1zfWrEbnENY1/1x3u5wSvxO/vcc0rzD2Xc0Pzsz +4pG/R/+BiLf2M45+xiU8NS77s2zdmyNdtJ9x9DMOf2X2A7fcdnlFbqedduGX +fzyrVvYB/+Sczy04a3lFjne99j/fsMfiTuenDIVd+k68Yf+KXJ/z0lf7nlql +/uSz39t588RR+XvPd9wXZh2+u7b0nxr5In8veXbko0Fp6Yc+u8V1NYdz4zo1 +rwb+aV192To1r3bojR8+5JLbtX72rxl/zyjd89OXK35BkjOt8+zI+Puoh9dW +/JBSWBD9ltFcXnWf6MeMhl32u6ZiT5eE5ttGKvZU60mP/tcfHPe1Clz+rzf2 +bJyu9aV3RP3SE1ZG/aJ1mw9EvHvCtEgfretM/sJopn91HYnPRjO+0zpPvss6 ++C7r4Du+rpXvMq+va+U7+LXXX7LHI0u//ZDkXUceOviy7RcuCB+59WsPH9dC +fEHrNV/3va4V985en9GvOxyy5OJnJo7aGL52wPGV72k+Er+26zudFbrrPa1v +/fadqx/adSR8YvW83qdWab3i2pde+U7fFK2HGrntZ0cdf/JvcvV+9Kf1T4S3 +Rj9TW/rBCzw/1jNywREn/i5Xpzf15WU7/u5r90tLP3SALrfe/a6zlz+br9t7 +8dp3fPCM07WlHzpBt6eGHr92rxn5Or79n37s32Zt6pCWfugKnd8d/eaBbH6t +61sT6aYt/dCdfZj/3s8ccOxhWu9H/1fjvmlLP/vEvl3d9u3XHbLLInfOXix8 +Qhxl75Pbb3j5Y6vC527Y2Ltx+koXV10dHnrmL0MNH1gdTnr9dvscuVLvaaf1 +aT0ffARfEZdJ+9yXrU/r+Yh7/OHhC0+6deZA+IenvnlB2zSt37u5t7Zi56jj +Ur6DDx/L4iQvHfuL375vzng44aRbHj7/SuXHV37SP+PGa/4QDnry93c+8YZH +Q030rzeEv3ZW/esNmb87lPm7Q+H+TE/Py/Q2ehq9jZ5+hzlXdmX6sTPslOnp +r5tzpOrtlZmdw+5h57B75065+JT+j/xJ+mdnds/ey+wO0zI7uDKeG7WeCTvo +f+cIu5j0qfbPy/TU1ExPz8z0cuKLpaKn0NNHZ3rZ17ugp9HL9vcLnxS8WCfr +Zh2sq3zkl0caPqD2BbuDHaIfO5T8I7U32CF/Twu79M1MHz//xJkvr31B6zGm +xHVrPUY6V4/KON5jHO8xjveSnC0Lu33id9sfsovWSyR814Zrd19YOYesDYNP +v1A5l2i9RPIftF4i0WMw3Bbt1WBYEe2V1ktcHv2/sXDBdrd+68Ef/ftRR626 +9l9+9rYrQutz1QV9NVcPfehuuz7+jTN+JnHy8yKdJsJukS4TuXqB5kjXCXmP +eehn3JSZn9n5lL20XmDhYQe2fvmMeSI/9DPuqDdMPfKac7Q+YCDut8oT/YxL +fq7G+5fH76t80c+4+kd+WPergSbxp9mPKTuOvfVt12s/4+hnXOKTfN4+8ZX2 +M45+xvVHORnL5d0/GuVG+xlHP+Ms3ywTvmB+9p3xSQ4075zols8/D0Y66zje +Yxzv+XEJT803Jzrn89BJDhXmPcbxnh+X5Kg1PBf92LZwZYx/aX45tf2ZfzQQ +9o3yp/nhtM4V4c6vjP/qxFM1/5riXb3hgfccMfe4Fs2vzoh6UPN/yV8jb7oy +8880f0pcjnMO62KdrJv++uu+9Mtllf6zF0/9+fcr5yDibj6vDR7gRf/RMR7V +H3aJ8ah+iRMSNwQP8LJ4r5C4n88bgzd0oT/xl+Y7d477NpbJl+Y/E59r/hM9 +jX5FD6Pn0Hu0p0d7tUZa+tFzPt+Z7JW29C/e3NJw9V2a30zyw+9NaX7zsN3W +h4/vofnM+vie5i+THRvK5idfpPlI9CjzMC/nXPiBefkO51z2m+/4fCV6F75L +56RVwnfJ3vaFT19ejQ+1h5s/Xo0PtYdr4nmkHGbF80hZ+hlHP+Og0zFRvlcL +nZI8DgjeC+M+jIeO1qpdWhdu2qlqp9pDQ9XufKcc7q3aoX+uyPOt1fjj2nDg ++dX4Y3tYVo3nrB4Mw9V4zo5leY95eI958EPxS/Eb8SPx8/D78PubWk747jtv +uFNa+r8Z/ckJ8QNp6SduSxyXuC1x3DTPXBfHn+XOHfUS18cf5lxBXJ44PecE +zg3gR9yecwDnAuLuxOHx8/H7icMTlyeuTJyZOC9xX+KuxGG323TE84N/fjA8 +NuM/6mf2zJaWfuKuxGGPX7fPjesGFobOb333N996sF7iqMRVaz5zXkW/rQ8X +vnJoRb9pSz9xVuKu6zsGK/yyMbwxrqtH4qbEUdP6N4U94vq1pZ+4KnHWxriP +I9m+joQzj3/PhTvdORa+/81PXPxQRT81/PBru/2m4fHw0R/8qoJXrcRJiZty +Ltxt0af2e/Hqp8Km6Id1hRnRL9M4KnFVznEpL9OdxQ2GsjilxlmJu3LuSn7w +sNARukIH6AIe4MW6WCffZR3My3c+9IW3XXVpZfx9Z5547ic2PyEt/QujPeoO +X4z2SFv6PxrtzXDYKdobbelP/N0S7oxxpJYsbtySxZFbwpQYN+V3n/X3LJO+ +aZZ+xlEfcX+0sxV/PcaZ+7M4eX+m9/w9kb5MX2ndJOPS9x4Pzx39eP9O18yX +uoRkl8lzDmV2djhMj/vbHvaO+7s2XBfjfvn7BPSnuH8529/BzF7m7w/QzzmT +cyfnTM6dnDM5dz4T8zfNYVrM3zSHU2M+oi/LR/Rl9l3rx5P91nhN+m6+fpz3 +iIsRJ+M95iEORlyMeZiXuBdxsBSf1Pw/dISuZ0c/QekC3aDjiugnqH/x+Glv +nDNt7T3hG8/94Mrn6+6WPCF5Q/KE5A2Pv3hOhU6rw1/fcWWFbtrSTx6RvCJ5 +QvKG5AnJGya9MRA+F/WItvSTRySvSJ6QvOHdUT+NhyVRP42HZ/90/BeXHnxF +eP/QRS/0X319mHlu8yvbXnO9xMF+FOedCF+I35kIV0W+nsjywxPyHvPwHvPw +HvPwHvNw7uIcxrmKcxbnJs5RU7+8V0UvNYXKRyt6alkYiPtVCvvE/eoNC2K+ +Ziw8E/M1Y5LHJq/Ne8yD30lemnmYl32HD5iX76R9XJftq9bNJr5bJ63U0zIu +ey/tWzmzC1o3m/xXbelnHO8lPafxrV9Ee9YaNkR71qZ+febnp/OC1i3+R+SH +/iy/qn48fn2KJ2i9aIonaF3i+mjXV4QLo51fEa78z4+s+XrlPBimzyptV/H3 +94z2sTezj73hiiiXvWF2lNPKOXH+7hW5WRW+/vbZFTlaKS39fHdTjEevzPRR +X6aPtKWfdSX92ReaY/65JXww5p9bw6Lo/+p9wEVxH/vDC3Ff+7M4vtZvnvG7 +uRX9WBeW37Oxoh/nhxnnbjv9/cvr3P2OP4Y7yzf9fr/Gx8Nu0d50hfujvanY +5WhH9H4GbcpzdGX2ZDjLYw6HgWgn9H4FbbI/Q+HQmO/R+2OJb7X+9fqdGyv7 +sDRUnMbKviwNd0S9qvcLaOfE81hjts+lsGvc91KmZ/U+AG06J5TCXlE+xkIp +ysdouC3q3bHw35E/R6U9K/LtqKyTdbNO1s16WCfrBg/WyTjWwzpZN3iwTsax +HtbJusGDdTIOuRE5yuQKOUNOkBvkCLmCH+AT+AY+gk8YBz/AJ/ANfASfMA5+ +gE/gG/gIPmEcfI8cHB39HK1nFjnI5AI5QC6SH6PyQIucDDe9fFjpc0+Gs5Ye +POUPFXxp6U/nUerh9P5ciq89ldWFdGd1Il3S0r8wrkvv1dGm+E93po+HM32s +Lf3pvM3vYmo7PeI1LHoLPYa+Qe+hx9Br6DH0GvoGvYheQ8+lc81YZo81zp/4 +f1z8TvxQ/FT8VvxY/Fr8SvxM/FD8UvxU/E7OFZwzdon+Or/LUivnCM4VV0T/ +Xe87cW7gHJH8eb3PlM5Ra8NF8VyldWDUhT0Q8wFaN04cmbgyfhl+GvPIvNl7 +zHN4pP9gdu7SujDqxFI+QfNTxKGJS+Pn4fcxD/PyHvMkf2512BDPP23SSn+m +H9J5oS0MR39tIDREf01b+tEX6TwwUPGTqnriUTnXj0S5mZfJ0aNZnYfW002N +ctEZVkQ52ZDNw72YoaxOZSirWxkSPx2//bpI9+Zsv1ukpT+dQ/T3GWhT/LBZ +/Hz8/kTXvozO2tKf7LD+vsJjWZv4qC+Tp/EsHqAt/cjLoXE/xsMVUQ4bw8ei +XGpL/7QYf9T7w1dGOSyFB6Jcakt/ij/qPeJTIl6j4dqIp7b0p3jjaOYXjobn +oz/ZkPmTS8KuMR6uv19Dm+L2S7Lzdyk7Z/SEO6NdIh7fI23y+3qy/RzN6thG +M/nnd/O1PTLquVH5HutgXayTdTCO77EO1sU6WQfj+B7rYF2sk3UwjjzPV7O8 +D3wO36e6qxVZHdZyaenHPmG3To/83Bqej/ysLf3ICXKT1tWbyYO29GPPsHMz +4373Z3V22tKPnCF35KXIU1FXSZ1lyofqfSXqHqmDTHxNHXpZ6hKpU0z5zVVi +H1J8VvV/iufq75am55rHoE6MehpbJ1YOe8d9Hg/9cd/HwjXx+2Ph5Pj9MdFD +6CX0DnoIPYPeSXF2rV9IcXa9L5Dknt/xHRc5PTuezxpEDpN9LImcpfPXaFgU +zzHrwjnxXKMt/SnPrPcPkl9Yzs412tKf/EXqFMphVYw/LAs7x/hDk7T0Pxv9 +gqUZPk2Zvitl+k5b+hO+ev/svqh/xsJlUf9oS3+qX+P3svR3xthn9pV9rsns +LXVV1ElRNwUdoAt4gjd8CZ/Ch/Dl8aWr9nroUy3yHWDkjHaX9nu+dcwu+nfQ +gDlfA5NnAGa9wNTpAxNPBuZeGzByB8z6WAew/F2FDJb7exnMOg75ws/rXzi4 +X+vNsuesi+fAdr1lt96yW2/ZrVfpy3vMD8xz5uG5/F599px5eQ782BMfuObH +r3TLuNHtzjv1a0tLAn//3XMGfrqn0mGPE56fPvdMxXtWlar3bBL48F/OvP3l +0WGBG+avmvq2I3Qdn++esvC4H0wITHvTpXed9fEL1wu8teva2PT1K7+0vdLl +2+OP7nr9iUqHHd/0lzse/NWEwJPhwbgTf/f28sfq8njxnO96PP06PN5+XQ/+ +6sOfPKxlVbbfjdLST56U/vVf2XeP2z7Tl81bkpZ+y8eV8+/w3a8fvns8rIj/ +RqWlHz6hnzgU8iJyk/UTZ4I/ael/4PD+zq/suyDrrxX8O+P62lQ/7LD43tab +2sIXn9n77Gf23ph9vzPEVV+1WN5P8GrBn7oh1nXS6y6r/Ncj71944zmz/nTL +gOBP3RDrJP/F/OQ9mR+9wHxWD+jf9xo5+fG3zBjR31OEfoe1VDmjTeav7vq7 +56wReNqbL6lwxjqBj47/s17gK760fYUzOgU+p8L181d1C/zZ05fvd+BvegT+ +55VXX77tH0oC98Rl9gq8+tmGnd715z6BL6mK2XsGBL6gui2fGBR4++q2XFoW ++KWjznj/xTduEvhXmya+PO+JIYFvqJJ7zbDAB+9+5IsdO4wKvP+MKqXGBK6r +ivVnxwV+ZHaVYSYEvrO6vN07ZD/qq8u5q0vg5ypS2z2lJPCMilRud16fwPtG +eg8IPLuiJU54vizwUfF/hgV+uiK1v5w5KvC5kd7jAss+Vsm08mmBn4/raAnf +jPy2Rvia5/8zHzQ6vp6MLxodXSbjE6Xb/quPPWD1sQPCz0/0vvep3vcOCvzQ +Szc8/NINZYE/G+Vpk8AfP6A6wZDAPdXXnxoWuLU6/QGjAl8SBXJM4PMvqP4b +F3jH6vQnTQi8dXyt+/5KZJiyyveaKoMPC/yOP1cZdlTgmrdUGXBc4K2TE+Ur +1lml0sMv9Qr8nioZevvC+Uuril/9gq2TM+VT5ivaJ9aNXts6OVW+n2yfmR+6 +bp2cqxxNxid+n7ZOT6hcTsZnft+3Ts+onE/Gp56P0PtRHVyt8Beq4nmk6jHs +IPNh5xj/werjPUZCZLujmuS9IjsJjL0CTnQvyXcOOKLqqPQLP14a/ZABgbFn +wEuqnz9jTNaV/I06WQ8t/dhfvid2N+vH3jIfLf3pONAg827zh+rGvMovj4pg +nfqHEWHF7+Ezq45UWda/Q/SjFKZ+l+/a9S+Xc4r4U+Z80ujOJ43ufNLozieN +7nzS6Pz9RufvNzp/v9H5+2pvrF9S69Zd69Zd69ZdK+uGbvbvSqlekb8v4vwb +YHuO0N/f9PoUuni/ied8l+eWbrWyDp5bOtbKunhu6Vrr/Fj9+9DwgaV7rfPb +OgX2ft3NUW/puYQWu/9iPJjouYEWu5D8+D/Jdz9U0XqL71X5eEPUIwpbfap8 +j5/LOC+3P/hxVXL0HExcAL+XuADw7LguhQ+tqtvb9X6g9bf1nAF+n43nI8X3 +2Ko1++lAODPqQfWPqQ9OeIyGBf/2vSX/9j2FN1fV4tkKR7P3VK/T+8pXe1bd +pr1U736+YvXOmTWRk3d/jrB6tj2nx9Az0AN9VfVCZh+u+uSeqlt11mhOv6F3 +LN3bt5ru9jzVKPsg9j/bB+i0tXSNbsJd6rfemRhSz2cG73bBg/V8LtJ3xNG3 +UfJgYh+zPBffJy7PPSI7/yaZn/uCdl80XmLPv7U5O+j1nLdzXg94OWe9Xh9E +d+lhPVd+JwpgSd4r4gvmO+r+az96/7V6jkj7rOf46O5f/3SYGQMNGh+Lbtt0 +pVd0Q0/V8/gxdT9cN+3N+hz6/yLGT3qdv9Ibnj24ShCl9+VVN3qhwqdU3aCp +Cq+MgQ2FwWefKjs9o/w1WA0fvH48RDftdl3/qvi+7ueUiKee16Mbv7DT4af7 +ncYrfHTEV8/vC6LbPJSTF2/frb4u5ewffAI+8Al1itZudQsfUKfo9XV03w9Q +/XxGJjesgzygxKGyPB9xeuapyeLezEP9m/fH8KOof+N9Wvqpf/P6in7yBlYf +6Pnbxlsanb5olPXb8Xr+tvGiRhePaXT6plHw99/3/qA9bzdKPgE4Hh9nK7xb +9bixeK3DQ/FM9kHhw6rHh9M3uO92qP7J/IIiOu0TDwgKT6sebzdpvNnjleS1 +u5DOd0S9rXCKD/QKfX28S85FGX2tnvbn4fw+HhrjFwqvjILeL/N7f9uef/N8 +sPCFqiJSOMUrBp1907hd1Yt4sUPheZE+g4V8dWpUqHr+fTYqGvVrPZ3SOUPP +v5/6RJVjNH7PeGD8vCI+HvhYVVEpfF1UbCOF+5Li3Qp3xHOfxrE9nX9cNQtz +i+VmeowHKbxPjC+MFfLBO35TPeAr/I3oz44VymHlEFkxVArPiYZqopCvamL8 +XuF0ztPzcZJP1WtJPvVcGMMPH9A47dFRodaL38E66qM9UBi7Cow+PK3qHi3R +uK79ex29bt15Owos+t35ufbvbYzn/IDJ7CjwgXFfVote+HXVW9uo53e7L7Xh +/BhXUnjH6PApneMp5VnVe9fFBet5N8UdewQejHys590UZ1S53iXygcrh7VEv +qV84NeoNPe8uiHKvfHVQjNN0Cn6JDxX+j+qx4oc9Akcv4Z6enL5P/KBxe/CU +fFdBXMHTgedF60IvwTeXRj9Q4RQ3GnR8pXG2HWIcSeEXo1+p8VXkHPjXv63+ +U7/ixzHuqM+RY/F343FJz8X7RUdkLOdPANfFA5bCj0RH18djlS/mRXl4Vbwg +tq+KF8T41KviBVFvj+XsC3zFd9qyc106N6reTfyucFtkgBF3vs7bG/jU7wvr +SHKV52O/L2JvMrz5TlHcycuB3zdPN3tezuPt5cjvq6f7luVe5c7vs98n9NeZ +2TkaPZT8VYVPj/pT4ZkfrSq2ifDOKDeqr4gDFMUJWK+Pi6TzUZ2sd7eYn1S/ +Ox5nn+mS9RbFUVjfOTHequs97IPVfxNyPme9n452X/06zuuW/xQu8hMn8/sm +8+Mm87sm86Mm84Mm81Mm8yMm8wOsH6l6Fb+2qO5irBqe/p368+w3caAiP20y +P2oyP2cyPwXY631f54Ff5usygPeL8fhRd97M2wWv99Hr3s57PQ7/ExdjH6KZ +OEjtpc0b4A9rHYGPa6f8RbPAMZ21u56nU15C30/5o75cHJj123Nso/weAPC/ +xziIxkcGYxxEn6c4gcYlIxu/eZnDR+OUv4jnM/Xb/hr5SOF0vii59Wt8jd8j +AL426juFp0Z9Mubi97Wyvq3NM/i4uI+D+7i3j3P7uBXzb23eQuxdQR7D5wl4 +7vMERXkOn0fguc8jAKd90Xx6bdQfvq6sT2B7bmxx57wWd+5qceegFndu0fj+ +ZOvwcQivx/w6f7Cu6lH1hci2lww6/TGY8+99vZLHc8+q+/Fhfa9o3iK63BP9 +7E2FdPpQ1R1pKqZbY7X86U1jhXEA9F4RnT9fHfaFiUK8H4n+1oTLR1AfonDy ++xuc/NX+ze/ZuqBG+V1uy6+qD3eN7SoXl+8Mv4l6XOGU11d4snHIA7+bIPrW +8BPj+iQPgB1orLobExqX/r8RzXy+omgccTQvD5xL4UOf7+Kcas/n+bqZWOax +aZXA1k5pXQ3wadGf0fhk8qM7nBx2OD7Tc4av20h5fY23YgeBqesATnUTCid8 +Nd/n40Tyu3EFdQJHRL9VYfxsyWdldQTi58Y6gQkXD9a6oZnRMGqdUX30D9c4 +OdC6oQeiv9YucDqXaf2ZjWPWZv6n2vF0bup282se+L9iHYrW8fw6BnL0uY0z +1oafREHUOpxDYl1Iv1uP1r0cEOtEFE51HppHtnHB2vBwrPtQ+MTEgALbOF5t +ODYGpjSPuDGKmz63cbfa0BYPBOqnfTs6SmMF/F3sVwGnuJfGNZ6L5w19zrw+ +bl+U54viUKN27Iio17XO+UNRTSu8NOp1tTONsa5V4TOj3lY7ckasa1V4NNrB +IYFHYt2uwt+PdlDzIlfHOl61E3tEu6Z2ItXpKmz9yddeDix/tofIzudofXo6 +7+nzK6vscZXWq6e4kj63/Nseno5xTx2f6vT0+a4xDqr17uk8qc8tf7eHs6Md +0/HpvKnP74j8pfXy90f+2ySw5f/28EzkNx0/GPlRnx8a8dc6g49G+uhzKx/t +4dqkuAS+ItJLny+M+Gu9/opIH31u453tYe9IDx2f4sb6PIn3hMDJzuvz/996 +brI4JuvwefeopvbV58lf0efluA/KhykOkT/HFZ3L5JwX4zVaz5zO1wr/rXp6 +Mr3Cel8rucIOMx/3MW3dzbjzi8dz8aettSuT6cXXWs7Bz69va+3aZHr6tdYj +1o8qO3klX6/3W86thpce1OdzopmaEDj51Qr/rXZ6Mjv0Wus98Pfr21o/YTK7 ++FrrVdbrz2tFcXb2wdcFpboPvcf0dKz70Of7xDyc7nuq+8jHlYvitMBFcWdg +6OnPl0V+xGttV6CnP78W6SHo8VrJCecCnxekjoX1UcfCeOpYopo7XeurqFOB +bqkOXc9P1K2A10hVTK7x9VXq3/pzq81Hab0U/SnvonGWUrxnpecrf0+PuIqc +U929PeIkwP7eno+D2LhXPg7i790RBwH29+6Ic1j/tfgeJHSG7jz39Ww+TmLt +2996b9LfS/T3KMu5Ojr2nfH+3qKvay4610AXe04p9lPsOXvQ2UvNzxMXkfxu +dl7gfexrTBNeoHRP9yI0fp3mU7x/FMUlX2+KHEU3YobKk6/jBn9ftxDTLg+u +dHkJjVcfH/Mefbl7khtivkPzLdxbtHE4hY+JH2zNyTvrQL6tP9ju6jj1d9vR +K4xDrzDO6kelM3S39wPGXZxqTPiC9fF3LHx8in75u2Amrqlxbtbt/UF+Fx08 +Er+sEzz4fV+ft/B5B583sPLb6eSz282vdY3QkXv59vyi9/XtOttlncxDHaB9 +rvtKHSDjkRtg1mnj0HrOYZ3Qk/eB0/dXCL18HWxz9Bv0eRqvfO/rWpNeUJjf +84Xep0Z/YczZF7Vb9vxQdvpjyPmz6q/Zup5OgRNf632ctF6FU95A4TRe9dgN +MU7f7/RSh+Nf5Vf8J+gFbPN4nW6/htz7bY7vlS4pP673kG0ea+vvnQAX3QMB +LrrnAezvbST9+ip9FfHM66u/r666/L+um34g+mlq13eOrcLJz9N66OTnqf68 +Lq5b5XGn2CrcH/FQ/XpOfF9hq8dqc3VSyU4p/aiLsXZG6WnzdPnfEfB1tovi +uUP1ta+7jWnslfr8lpinVfm4KObd8vq9aJyvE033DF+V18zqRuV5lE+Fn4h+ +eX8un0F/ykvrfbjEN0pf2qJxi+O9DL1nku5l5O/PFY1L9wzy9+noh2+mRX5U +O5D0qtqvfeN5rPy/zrMD/2/z6sBFeXRgX8ft64LB7++9d/D3yqnVg+W/+x7D +3yv36NGEV7ujU95/KBr3fNR7ykdXRLqt20o+aw93RDrkfx+C/nTtWfvhSzu+ +UeyQj4tGLriqOE6a9JE+93HTFGfT8cRRgVOczvOZ7kOim8IrXdwj2YXiOMit +kQ4KX57FRazdUTjtx1KhSyz3mqowbdG4dG/8Vb8TEuPDr8ozI7cF49K9Ze9P +jUq/9WtanZ3QPPK2sa6qLZMbrcO2+X/Vv/wd6aJ7zKkek9+b1zrs5J/3uHNG +j/PzdDz3Jq1+HXHnEq1D3CurQwTeFOu39Tl//8feCxt258XJ5EzlZGv9Sl+H +mfTy6ix+pvS+JurfPP29H5rqWwdCFI8zRlycSenp78mlur38vTnglI/vcX60 +1iGkOjaFU12nwm3ZPSvefzJ+UOHRGJfQ9ab860KxyynfqrDEheJ5uzX8U7RH +efr4e/UpLjUg9/htXcWwy+8vcv6rwvw9KWDqYIHTfQZ97utiPxLvFyic6jj0 ++/4eRYq7KP7pfL1EYH8vI/lz+tzf00j+nD7nngZw8jcVX/ibv+NOa/W//n5x +uneT98/oT35+3t7QH9PALzye89fot/qmX34X18qr/n4yvwOMHqSfcfQzjnmY +l+/w3ZSmb8zpc/pbPn3kAavf/6p7yuiD+x77/VOzW0J5054fmJheyvlHV7z5 +u4fv8Y328NXPTfxjc7PO23v5v9y4+hdKD9ax+5oTDn/ijP7w9Rnbvmve/nn8 +/+XoMHveUXp/6k2v/KT7hitKYeNTXx466y+voke2LtbJvL7+defOP+/wrxW8 +WCfr5juennyHdbFO8LB4NQre/w+THD8Q + "], {{{ + EdgeForm[], + GrayLevel[0.], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFWGtwVVcV3jdwch+55557IdC8eGN9FApUCyQQC3RGgpUhNyEkFbAEKCgi +YB2KfxworTMQyqP+8EcTZnTsVBCZUUeltdBKKWnHmepYwOJIW7APHkJAq/XB +H78v35fpDIu97jprr732eu9MWL25bVNFCOFcKoRhWG+mQ7gX+FXg9wD/LKAI +fAPWFYD5gGlpfSO9NRvCDOPllL5R3pUg3jFY12Ulpy0l4F7yrsR6BsxvAP7o +dQr4e8Bfh2/14Jnu8yif38+ahzR+u0zdKyRnbJAu080/PhH/BKxdUQi/AzwC ++lKsrwHWAl+L9XXADuD/xToMRhgBvDLSb+Kbsb4B2Af821jPAfqA78V6AfAc +8M9jfRWwDPgTWM8DfgL8h7F0oC4/B14B+bOBtxUlf1FR+s7wfe8KsgXvuBh2 +OJmRLWhL0mnP7YBu68w7dABfY9pq0/cCNlrnVxLd4dM4/5lE90+At0XCKeOb +lkP7/Nj2aoj1m3L5nTbrjD4+c5n53wPfLOh+Ph/CJtC+YR1o103GSdtsfTaa +h3hHKYT1uGc71qNYfwroBdwHeAp3r8W9DzoeiJM2gLUG0B7pDrT5RynFAWOg +CbR+QEuQPdZahx0+m/ZbY1tR/18n4pmEeywF5CDnSyXFyxrz0IfPRfIL791l ++gHoth/whcoQFgJaAFXgfRt+vgBo4B1j0V6Fr/cX4Ofh8CdoD2GtG674eTMI +7w/6vtr4d4ZLFuX8uaA4/wH2dkHnEdBhADbPYM0CRjJug37jX8gBavgtKE4f +8lk8p97yS5HkjArS9y1APfDnYd+0ZTb5XJ7fEsvWRdxlUiKbzwW9NtJZNeA/ +gb13AL8D+NxEOTUH61jAbewdk0i/4fgPaoQoEs6zeGZknGulc/B7ReFX8uKN +TD9nvanzyEj3GQ38eFq/iRdN5x3LjhnGMPO13fHD+rYgrfhJQIvNzzVvnAUy +BSgF3SnlWsG1wvTmgmxC2zA2GBMNKd2T+1ljmf/kb0y0N1gOzyoAqhkzifDr +eZ0fmw4VB3/Tz7TxKNuZ62jfd3ki/Bb2VpuHdMYBf2fMX+29pzKKW+rKOMr4 +rBfSsgXvnrEdef5v8F+Veaoce8S55uy7tkT4tbxsX7QOna4btP80rM8DmoJq +wdZIdas+Ft+zkDEHawdoCwGPAT+MtRdwN3i24ffvE8UW/fEL0DKARuY4aHMj +7W+x7F7XxUIsv/8oUU8b6j+Mi7LjYSpz3fleBf5m4DvB/6lYNe1Uorq43bWT +d+rwvWZF0reRPQX3/yR+fxX8f8/LZysSncOazbt9CHo98xP0fwOfBPxh4Ffz +yodW4H/Ly9btwG/k5ZdlwOe5jnwX+TE70tm058284v/BRDVvr/tGBP67WYtB +nxirvv0K+AV8u+Q6lLefR7mWMNbo33cBFwF/AeyM5I8+xwXjY7RlvAc47Xhn +3DO2p7lXczYYqnfHzMs9PP86eN7Besbfz5un7Nmk5JrB2jHSe8jX7zrwp6A6 +eS1o/kiCesl099ZWwJKU9OiOVc8XFlUP37Re7/uOBd/zomV/YD1Pm/auef4F +O49jL0lEf996HMOZM1PS5ZL38z7sdZyH6ipUb9jXqeseyOiJNDO0ev5K8Y5p +yeBd7vEsRHuEoToEOJJVP+Sew84TyuGc8rh99IdEs8s03PvRSDjp7ySaV+6N +xbvT9MeMU87Qb+bPZNaioHo7nrURa11Q7DMPBucQ6LMHsApwO6/+1VpQDj5q ++duMM+85W20zzjOf8Lm0CWcs+oW22WP8SePk4Zz1pPFe53mf46bH/BftE/rx +WiKZc3CJL8fyw7hE+3tcX/4KnbfCxl0l5VZvpBhhzb7Pdh9ZFH4iVi9kT3y6 +oPuXXQcu2eeMLcqod7/nfH3G/m2Kpf/VRPFGHWnf40ioG/DpW0H97Zxju9p1 +lPnW6NmQ80qNazlr/OW04uas84X5xzzMuDYzf/Ku2ZXOX+Z62vIpg7Lon632 +S0Ok3p6z32uxVpnOlb9ZQzm/ckblvEObsPddMY0xTD0H5xLftd735TzIOrUj +aJ7al1X+fGuYZi/WaMYeY40xN8azxAOx5jjW4kfsw2POA9Zv1mDq9DnH99vY +1wTYDrkfgrakoJnnf3nVztnuF3zXlLOaa29xnskoD2nXW85Jzuyt5ul2vBPf +lRWdbxC+ezqN78balVVsXcB57VhvxLoH45BvI/p0sedd8nIv+VgrNrheUJdj +1mG+32W0PecF9mb6lf2fMxBjZaV5ONvs9qzOmX1BSXecX9IMyH7POGDf5vzH +WFnhc7mXM+BK46SvdO/kPD46o/pTg3WR52G+XeZlNbeXbZOtrokzHReHwfOB +35yLS7LjAyW9B1grO0vyE/3VnCjfmHctMOghfO+z/Jczml947qKSbPdFrAOx +YmgO/Lwk0QzJWZJ6knemay3PZz4e8ruD9ZQ2Jh95TheVZ3wf8I1MvbmHfjrp +d8o8v1uG9DllnTgLzHJc0U43XauZH/enlSNbstpDndgHX8qoF/IM2of1gut1 +46wLN5zj7CfrHSflkmzMGsaY4jfGFetxj2OUMbnO/PTVFvuLsbbLsUp++oJ3 +XlaSLNbLVvPwjIV+61D/3oJwvnX4fbd5+vyeq7eteixzlfUhvcf9gnTamrnP +2OiyHOrF+CedZ1HX/dmPefebftDxQJmkHTCd/Z86sO9T5wO+7yr/7WKW9Txo +330GBe3hnOx9J/z227TqDnlXWf4Rv1UZJxPB81JaNZCxyXxmjxgL+otp1bq6 +yO+ioD0DjgH68LL9eNb1hXWSNelkWvWx12dRf65HfW6r9aCcNUXN8Ktx8HTo +/7WczvhZUTWlv6gZkf3sdfhqBng25lTLjtpulNln+UNnHvG5jFPGK3O/zm9y +2oG5csh2495DlnO/31O0/4POR+blcpz5y6xy6+vAN+SUDzyDsxnnwwmRegxt +Thtwfh7sE9B5al45RtonTOc62Tj9MM796SuJ7P6PvN6nde6Rr9lWtBn71xj3 +tqF+lnOPGe/eRh/Wm4dn3WndSKs1fR023VUlX3Yn8v0/IWR9Iv7/5FXDKvxu +5Iw/wXJK2Lcc31sc77sc8/w+0XfZ5xxgXiywfemLtYl4PsorTidZ5lnwV+dV +g8b7LMrpdP4z97lypmxzHLV6NuZMWbYv2Jsne86bbJtT/m3/LY9xzrVsnLYc +a5t0lxR7jMGJierwgOduvkGmuKeQzj7C9xr/jsb3F79PNQ/rJt9xrKOk8d3I +N06H6eTn33uaXWN3JPobUDbWN85j5B1nX9MOfHc2Ws4KXG5ElWrh01hfzqn+ +NnqGIM/jiXTLx+rZtN9S3O8g+F/JqQccx3oC8EJGes21bi+C9v0qzXRbEulf +CRn9oJ/Oqe43uUcMnulzObc0eibh92bLbLGdG3yXJX7bDD4LhinOGGNTbMMm +z121jv/57vttJcu2zP8D0V1Asw== + "]], + PolygonBox[CompressedData[" +1:eJwllllslVUUhY/F297pv+deUFCqmJY4B9DEqaVQ9MUiMnSgLYJii4IitI0G +qzFYRR8wTuEBFCqJs/FRgwMySQuFmKCJQMJDC28yyOSEIg/6rayHlez173P2 +OWefvdf5qzq7m7rKQghrweXgn3wIN6RCuB4sjSG0lEJoviyEZZkQ5mMfwX83 +vBF+H7wdrIK3wxdgn8KfZW4GNDL/NLyAnYAW+MokhCHsWvAS/Cz+0dgl0AY/ +Dx+LfSV4CH4CXo6dAnPgv8PHY18NHobPYs2OjPf0GrE35ogFGvh2jPP08u0A +Yx8DXzN+KvxN7NfBCfh/oB97MYefga+X+EPZEAbSIfQQo4tv+/BPB68wNsJb +sJvAh/Ae+A/Y7eAzeF0hhMMk9AL7acC3nr3sJN524o2wn3r4Qvg3FSGM49sK +xmxl7hTQw/xu+P6U1/gY/i/7GRkVwjCYQ+x84r3UgZfxTyHeUuIdJ94ZsAZ/ +J2epBG8zvjxx7Emgi/Gd5KuhPIS7mNOHPTFxbjrBFvzXgfHs/xL7n6D4+J/D +9yw4AL8Z3o29EgzAM4nv8h7wIvyKvGNrjUHO11Zy7ShmK/Z09vsU/nPsdSz+ +axLnrhV8wvwHGZMt853Oxn6LsYuIORN+FePXwZfDZ8Nr4AuYM4a524n3bjGE +HVnnXLnehn8g65pQLeyCz0p8tnryOYbxB4mzKWffaWJsKvjucuyhv+C1NuPf +nfaayqFyOVk1Sax58ArsrcxdT7xmeA7+HXwDvFU1A98Gf6foHCqXvYrB/FuJ +PUjc4Qrf4WTWS/hWz7cZGedUua0B6cQ5V+67wE2Jc6bctYFK+Ah8jWoV3AH/ +EozirBdVs0XXvGr/DfVg4hpWLTeDAnw5+VrL+p+nfUeT2M8q+Lq09zSPnBwl +3mrq6zj2R9Fz1SPqla/gS1LuCfXGYngl9k7llvWfgN8I3w3fDO+OzuW3oIPx +j8MnYn+P/z38fdFnV4+oVz6NPqt6RL3ydMk1oVrowK7BX8b++kAt9mB0rqQB +0oJF8HHYO4i/kfjv8+1gmXt2WsE9pd6aBnL4quCH8D1DvGr1j3oE3y7m9zP/ +aHSuD4MXGH8yOrdHwGppT8HaMgzvg/8Yffc/g+d13qxrULX3S4Vzf0vOtu5g +Q849rt6WhkjzpH3K6R95a6a0Uz1wDt5QdG0rB18Qf0/WNaVaUg3fybdXU64R +1Yr2oL2op/fAZxZdK9LcudFn0tmkAT/B702sLdJMaafOpLNJU09Fa7a0Wzn+ +Le87191P0P1G37nuXpo2t2BNl7arh04y/s+8x14LHlUtR9+F3gy9HaoJ1Ybe +qGXRb4zeGvXcr3nfie6mWpqPb3TOmi4tl4boDdJbpJ48w/cLeY+tAkui70x3 +pxwdi/4mn2ryb8ZOLbgWVDO12Cuy1nRp+XnWfTJrjZO2nYXvK1pLpIf7sYeK +rlVp3N6ie//2nOdKA7ZkrHnSOr0R6r3bco6lHry/6F5RTX6QOEfKlWryL/a3 +l7mHMtZevWHSRGmj3tSFymV0b0gT6tT7Jb/lesMbS9YsaZfe7PnRmiXt0hvd +Hv1PoH8D9fBF1nug5Ldf/wjDeWugtFD/AE3RPaZe05v9SPQbprdMGnIp7zdH +b480o5rz/A/U3RLF + "]]}]}, { + EdgeForm[], + GrayLevel[0.1357999189207551], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmXtwVdUVxk8uIQnhnnPulXbGRwUBRbQVKAQU1NY6dRSCWAJJpOIDJPji +qY5WHUWtM8BUCT4KBdQW2ooCrYUKakf/ofK0GnxQOy3gH3amgBAeKigg9Pvx +Lcc/Tva6++yz99prr/Wtb+10Hz+1YUohSZIr9aeD2huzJLlC8k61X6VJsqgi +Sf4i+dzEci+1X6p/oeQ/q/9zyfMkvyC5R2K5e+JxjDlH7fV5ksyVfLCYJIc1 +foHkFRp/SPJvJC+T3FPj5kg+O/HTGt8O1Lu9kusy/14QY77Qt/MlvxjfIveI +b5mTvq5q369Mkj2S75AO53VMktvU3qTnSb37XPp8ru/v1X7PUntAz0TJ31W7 +X89YyZnag3qmST4dnfU8LLm32nWdkuRo5yTZXq3ftUlyRHJapfUlfyV5WI36 +tfbTWuu8xPrPDRveLB2eknyo6N/og4156Oe7YZr3GcnnSx6RWT6i8RNzz/ml +5E06tLf0tGtMn4L3e4Hkv2qv70n+VPJs2WqJ3tWXk+RWyQMlN2u+Nr0/s8Jj +blP/IPVfq/4lWnexnql6blF/nfqbMs+NTZn/MvXvkXxCuowqJUkX7ft5te9p +3BCNHyz5Hel3QGPvl3xcc71b8HoT9btZ4z9Qu13jD6t/hebro33crTUO6puN +ku+SvEHt7Xp3ocaM0diyvvtV+NgHev9hnO9bOouNsvmyGuv5QfTX6iw2qH+c +5ukm+VPJffTuogrP3R5rITP+qObZozFDNc+XWm+W1u2ndrT2+YS+2aM9Nef2 +1XbJPXLr0F3tFx29LueALz4Rfjgit847Nf7nuX17f9F7eDz8dmRuebf6B0iX +lkrb8YjWflLtILXHqhwLGzR+WpxPN8mNVf6NzP7ZK+d9muTFaveq/xnZcI3k +D0s+d77lLDhrvh0suUnzTK/+dr7p0c+a6MC6rdJjruRHNd8cvW/V87zed9G8 +y7T/evWv0++7NPYRPXV6P6va+z9VY/ap73btdan6Vuo5hF/GPPg7MYPu6P11 +lfeMnw0p2SZbtP4JvbtTe2wr+Df9W9VurXAsP6c1ZkZcE99bCo4H/PwprbFD +zxQ9naXrcn3zSG4dZ+vpqbEDQ0Z3/G5O7BH9kInledLnHL0blduuU8JWv1b/ +2fr9M/Uv0l5WVXuvyyXfVeM9n672tWr73ttF2wTbPKBns/Z7n9qNardoX/do +zqvlt0M17kV9s17+OazoPUyQDVaHrbZWGguYE1/eHPKlmeXfaa/DNc/oovVq +kjyqaP1Ypy2w4hSt+wuteVZiXTbpeVvf79R+PlH/xZrnldxn3FNyi/RpCj3w +KebBD8GeLTFnxjf4Wm4dl3Y0Zr2mfQ7Q/NernRyYgw35Dl9i712k/3owP7WN +sQFjd6u/QWt2yuyrSyIekhrbG5z6r57X1bU8sT03VFm/xTGetZgbP8Vfp4YO +xMWq8E/mupd9aq2/E+vkBrBc8hlaa221sQSs2hw4gs88F5i/t2gcAD/ID+fV +OkcMr7bfX6SxMwu2LbpeozELNKZecx8r2WcmCbczzfvbwN59ReMPOASWL4rc +Ac51rnX8g3Nda411Tfr+Np1Tc9l4tjfWIo73BJ6k2tebkovkmZLjJCs712FH +bPgS5692qJ4DReMYeEbeeDZyFrliYeS4TdJhhJ6rtIcZ0uWhWueBbfp2DH6s ++c/V++trbcf+kidLPiB5ZNm+1aC2TfO1Bp6c0Fks0+9atV1z+1k3tR2k9wr1 +FzL71wWV9rEa/V6t/mq1azXuXc5F307qbKwH54mDxlqf+fbYKxhyUHMc0DO6 +wvl8fq3xqTVwADw4lhob1sCRMn/fS+1nlf6eb/EL4pN4LJV9ppztEOmzX/2D +1dZpzD8r7VulkHO1jRXWgXjcV+nxzEluWBbn8YL0GiP9HtO8gwv2k4uD04Fv +zYk5Hfbh7AZVWzewbrvW3qb+ganjCR9ogeN19HrEIL6OXv+Qndor3Y8O12n8 +G4H1Py3YP5j/OxGzxG6Dvpnd2fhH/LUHPlxV8LmgW9/MPtaHHIc/6JlV4723 +x1r1much9S9U/8va7/2S50keWTC2oPNpmX3l1MwxCQaQ0+F0bRHnx4vmh3DP +E0XzSTjpzuC9FZk5Ilxxcm7MmRxY8XXRPBPuiW5NFd4L+Ii8L/ATjtKs38eK +5sNw5F2Z91yZGSMuCt2OFs3r4HecH7kBv+3d0Wtw7tigMdYixp6NeG/RvP01 +5+jM+YQ58bEfZdbpx6yZGnMvyYzl5HZ0hbOCQ8TJkMwc6GK1/87MwXaoXZT5 +/cLM+ZY8Ss6Fp13Qwbl7vObvq3Yk3FnyAMmNmXnQ+8GF8Gd8GV53tmz6kfrr +5f8TNP6H5FCNv1lyP8kNmfVrDHt+rPEz1P9g6jigH3/g7E/E2TDH/OBajN0W +MYwunC+8Gy5AbBLXD8p3VsmHFtQ4r46odV7BlvgGNQR5qX+V94YvcB7kxakF +Ywh4tKtoXgO/A+ufCwzsFlyka9QQ6yNG4FdwBXyJfLIufHJr6MWcDxad48nv +nxbNCeGGSdRc1F7/41zgGJlzJ7r+TW2H1DocVVtI7SdH1FZEHUc9Vxl4BW5N +D+6HTxyJ8asyf888r0h+h5wnua/6dnd2zYPvzBCOdZF+49XeU/AY9kCdtDXs +M1Z2Xd3JvsnZzguuSx0AxsNL7yg715BzymFzYgdOcXsnc73JqfHlUenyx9yY +873UdUOf8MM3w8bgwBdF11M3BWfBF8h3vcL38EH8t0/4ZB7+/I0MFpNvL5du +DdLhX0WvwZiTtVXmnEfNNCU1zv5ec96Xhn/k9s3jwSUuyZ0PLlU7LTVurpb8 +QGrb7eB8M+M5+e1qrTte6w4vuxZAH/C3kfpN/aPVflZ0LUltvTrwDywl9/Pt +kuDIjCdu4cgDYh72hkyOIK6ImV2aZ2pqPH2BmEvNS97JjMvg8yXqG1P2uVxb +do6qi9iGX8CxWWtYyTG/JjXnA5/z1HkJPMCGxBVn3T1xXmoOXgHegEtgIPwW ++8MtyVelKueshpLlVanjD77NPPB48l1R/dfkHjtUYxtyj4Gb3yC5N7gg+TrJ +5xLzJfMpZGK/MTe3h+PDcRgPhowjzuE3JdseuVfUcOdEzUdupX4Aq5ZHPmRv ++OP5BeP2S5kxa0LcYfSLb1/OzJ+ouZdm7r857lf6xh6vUf8P4Jcl3wEggz3E +d13oszIzL6TWv0U6fx9+Bt7m1mFRyXcM9INXyzNjX0vcx6AbWPqnzBgKrhM3 +nDfnCg4NKHx7H9M/7AbP7RXfgiUDY79gyaBYCxwFT8F2cjJ4AVY8nDvGJ0dd +eWHsa1puTjNJ/a9m5st3pI7FPOIR3sEY/Plw0XvjfuWrom3Efck4+evVwq87 +y+Zwy6LOJJ/0Dn3AFfyfWFpXMm9dXzLuM4Zc3DH8eEpuronvpql1yUKfG+IO +5L24r4AT8O2k3HN9UrTvl8P/P4y80hqxAE/AZ4ibK0P+ZW4ZvKEuLcecr0Ts +oPNbuecBh4jvIWGT6uDApah3sTN+ub1orN1W8p6ywAT07RJ14PjgLbsCn66I +b+Es5CDupjaWzKM3lHznUB/3DnA18jQ5+g+5bQvGgAv40ebU65wSmL8s4gUd +0LchzoKabkHUdXdH3Uf9l5adT7nbAGtvqHFuYf2ZoQNYMis4FfUc3Ju8sTqz +j3G3xPvHYsy64LXkkprUvvVQ7vUXhQ5whYWxr6W5x4Pr41Lj29SoM8jx5Hfm +hdfBzdbk7qemxO7s+1W1r5cc4/Cp90u+N+P+jNxJnQm3WxE5L9e+7wtusT/q +trGh86q4a2Cv6I3+nVJzkImhD7FEvMzIbadhYasZcf/JPSj5mbMkR1+bO67n +l4wBH0WdQm0JFwCzJ1Sb38AlqA/ao3aA81N7I69MXVdcFfd/jGefi1PfnV1Z +cr7kDLk3YM9ro5aHu1GLksv7pI4ZuMnHqfP2fzLnCXgDOoPR4PONueOcXMIe +l8adE3O2Rg0OH9oaOnE3yf3DxrgrIE+A/2Nzf88azM86J0Imf5A7xuSeb3jM +ib2wW1Pue1Jq7Z8Qv6k56vbgVq1Rbz4ed8vcMe8IP6P+6BV15aDU92Hci8Fn +Fgf//cZmbWG3tXEP0jWwhjheyR1sfHvyPi01N+Jeh/uAYzHnyTu1mIecQY5o +4d4m7Iy964I/gBePxt04d+TkJPLRrbltx9lTs1Dr3xn2ao/+ewJDwZ2q1O/a +wp7bgkty1nPjDpa7WPIW+Ws8MVTt+yn8p2vw7X6puSQ2AxcYg19uin3DZ9gj +OHEg7qM527lRI2yL2ocaqBhxdWbqfD4o7gY5zzlRa5DznwhOe7Jmif0Se8Qp +flYX/7+4PDUHgSuA+fCZQcETOIcZ4dusDy89HD56KPgS5/B01BfYGPwlP3L+ +J8IH3ggeCA6QXwYErmJPeCY2xX7kR/IyGPVI1B29U//mjqQt93j4KTEEd4FX +nBr19fmp/R1uRN7HtsfDvgPj3pTchN0nRH3RI+6FuTukj7Ph7MhjdXE/3BTj +6V8V/1MYFXeiLXGO9XHvQt6Bk86KM50e+PPNPXZz1FqXRS1MTbw7t45wW/o2 +RS28J/yfe7AzUtuROgN/fDd8cnbwup5h+2FxD0z/rNgz3KQ+dONcB4Yd/g9h +xpTo + "]], + PolygonBox[CompressedData[" +1:eJwllmuQjmUYx+/3tezu+z738z476gNyllOFyGmXCdNh7RLW7rJZzG625BDF +KBrWqAZTCTWOJR3GYSksi5p8KcqhqOxONVnNlA/IWaKIfv+5PtzzXP/7Otz3 +dbiv62ldPq3gubhzrpqVxmqdcq4W4jirFXRf1iXoi6w+0DeTznVMOOcbOVef +7lxb9urgHW7gXP/QuQveuXPObLSBNzLLue85YGKmc0XQY9HfgP6rGc4tYhVm +Ge8F9M+jW4SNHsiviWEEPAR+Ofwy+IXgbvAXwT8Fvyt0L9Yy8HlwT+hvA+6L +6k+c357zq9GJuOsVcA54IPZqkC/A5iDowRE+xE2mAPoMMpXgP7CXje5VVmHM +YpANrz/raprtiXccnVHoXubMH6FH607ovwe/Afw0cC54qzD0NPS7gN8HN4S/ +APwIeAs4CR4Jvhf8BvhPfNmNzjroIcR6CfaL4beH/yZ75+F/BH4cvAscol8C +7gBeAr4I/xf0Z3Dfg8QvG7qE1TtuNtOQHwXuCX4XHAd/zhk98Kcre59BryRX ++4lVFbnKY8WQfxRelfIDfRreMHKaD68JKx8bVQ3JOWc25y7DWe2Qfx35M9xn +MbLrsTkD2S2sedDF7I2Dvo2P+9CfFTMbjTl/A/oj0P+CvWbw6jhvLvKrkXes +kBwuR283Ml75ZN2BnoRcCXQpsqsSdveFrO3YXA4eyn4Z/PzIaiUiPnnisRal +W00M4+xifHwIei3nxzh/dJbZLkb+d/w5HZhv0pHuOey2xH4XbA7mvEq9IfQ3 +I5OBfjW8Iay1GeZDX3Sy4VeovqC/iUxP+kXIpzjvetziFem+rA/j9iaGQmdy +vwJwjexDr06Yz/JVOZnK+Z2I5Uvwp0AXItMd+dXgO9w9BJeC94E9dMT5G5E/ +hH+5nH8QW4mEvT/VwI7IbDWmRqqhS+APYDXNsDc9D3ob8iug12RYD1EvuYbN +D7CX6S0Wqvn58AJvta8afgX8GLpzudfJdMtrylttqwY+li/wbyWtd6gHNfL2 +lhTj6fDX4MMDaeaDfFEMFUvtrYVXG1mt6M3WQY9k70HwKmzcDuyN6a31YW8P +vHu81d4Y8Eb1k9Deit74TuitocVSPesT6KrQbCnGW6A3sVbG7IzN0KPI2bOZ +1hPVG9VT1VtvcN8dnDVQ/RP5pfDfQj7h7a2pRsaBt4dWi3qzO6A/Da1Xqka3 +Qe8KrffojddA/xxYr5tA/k5hawN7K+B3kz/Qg7z1TvXUpeDO4GPgp8GV4JOs +mWlWg/XQ3lsvUw8YD64LrXbVc2uhW+LPD+Cd+POktx6gXqC9FtDl+NyYO/Um +j08R6yTfQ+QzN8NqLPJWy+qZ5dhr7q02VeMzwe3AX8esZmeDW6B/NmmzSHnu +5202zFcPhb/e22xSD1QvHBFab1MMbgU2czR7SojRicBmjO6h+xzgfr3A9ci+ +iM5CdOdE1usPUz8vQ3/H3kJ4t8GvRRZjxVpvdDF0v9DekmakZuVhb73mCjYO +QReElgvVyH+BzSjNKs2YfinrMeo1FdxvBLHbo3kTsx69V/0msFmgmVGkWRDZ +W9OMKcP+r6GdpRyegB6vN6Rca36hW5Oy2j4AbqPYc85A4tkM//cS0wr498Ff +Dv868uXgzuBl4Gvgu0OrFeXkLuhC3ZecVKdbj3s+y9603vJk6JzQZpH+EfSv +MDVhM0Sz4zIyD8M/Av8i/CPYegJ+fmC9ZBP8Us7vqLfBeZfZn8Ndc1h30q3n +iK5M2CzRnnpTacJ8UY9aF1nvUgzr0Z+Ivfux9zb4H/DYhM0YzZYv0RmufgL/ +Hfg34TcFT4/bG2kC/RX6FeCj4I7eZln3pPmimTY7slqRTwPUq7Msl/oH0b/I +SfRnQZ/QG0Y/jzOGJsxX9cArgeVKPo9DNsfbv4lq7iy4pzdd/bP8Bv47sFwp +RxPAbb3lVnfcDb4RmK/K6TPgvwLLpWqiDHwhsH8H/WOMBk/JstmjmT0f+lJg +sdc/xhj4/wYWG8VwGP61Cu2t1LHXMrRa6pC0WKqmOnmL1TRk9qM/KWW51oya +rNyG9nb15jqE9qb0ttQTB6CbG1mv1D+C/hXOBvavpH+MAvSPpsx2LXtdvPUg +9SL13GLuX4QfBYH9e6hGu3qTVQ6OoZuXZb1A/xD6l+jmzRflfAH3+R8CiXay + + "]], + + PolygonBox[{{4195, 2615, 2924, 2121, 4296}, {4294, 2120, + 2894, 2706, 4272}}]}]}, { + EdgeForm[], + GrayLevel[0.2263331982012585], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmXm01VUVx+99v3sv711+93d/T0jAaClmgZqAygwyOqSohZYCiqKmrdWz +zHJCzYGcMERElEFxCZqggjjyQAERIXPGCaRSNMMSnq7WKl2tQuz74bvf8o/z +zr7nt885+5w9ffd5Pc6+4KRfNBQKhev0J1F/aLlQeFrtCP3e1qFQuKWxUBhU +KRTy5kLhatF19S1iPFV0q3hmq58RPH3Un662QePv5OZ5W/0zal8VC4UTa/42 +UuPz1K/MTbeq365+kdql4nu5VChs1d6zxDNeew3T+DdFP56bfkz9RPFdrtZH +Mp+RFQo7xFfV+jdIjusr/v2VznGb6EPFs0K/m7XuPaKHal5R6+wbfUPQA8Xb +XfQA9W3ch+j9ND4k8V10Ub9Ra2wWPU3f14t+S/S1oierP0ttmNZfpfHXRV+o +8WWiXxE9SfS9mv+S6JNF363+EbW71JYFfbTGT1K/QG1c3P3suNu2xHzwtM9Z +VvQ6C2KcNe4OelzQx0meeUnMCf67YvwaydYCX+zbEnO5P85ynfoVRct7XsG/ +OecXBd/F5Dgv+58Uc9vX+nfB/bign9Vem0Rf1uD7/aHo/hXLtjOxPNwxZ2Xt +B7TvSPH21/gS0aNFDxS9Tjp9tuxvG9Q/X/a3xeIZxdoFy4+scxKfkbtDtvXi +fa5svhkau09zDhP/1eKZGzJMFf2Z6GPFc1vIgQwzRf9edD/Rw6WTjVpnjHgW +aPxTtfEF62SPnsS3SDbZXd9Pl03eorFFRdsh31gb/vmJzw99q/r79e3wgvcZ +0eC9WGNCYlsfLtn+mljmzk22T+wUe8Z+e2v8KvF0TawXxu6I8e9r/O+J75Dv +3RLb9kdl0/Mb/P324BmamA+eszKfa7L6MzPrq6ZzzdEdl9VmcZca36g1RtR1 +19rr48S6OFL09sR3uFT9Jq03U/Sdmleq+I6P0r0dqbZvxfNmxVx8ZULZ9tct +5EFO+i5xxtFa/2+J72qk6I8S3+EdWiupWG/sf1vIMFdjlYrPScyZqHt8Tf2n +apNEfyn5BuvbJ9q3p/p3S6YX4wPsVbYM3NuOGB+a2+5v0J0Myc0zWH1LyXzz +Q/6Pgh9dN1Ssb+wYOZGNvViTecjNOLZA7MRnPg+/w0fwwcMl79JG+9GrGu9R +sfyva2yI6MHRoKdofLJkukv7nZg7zuGDrEvrH+sPijmsj5+gI3QxSnOW63cf +xf/h6osV3zN+BI0vjVfbIfpfGk+1dke13TG2M8bf0L7vih6m8c0V08SHy4OP +eN5Z8zp1sKz48HXBU401kZP12mLNCUV/Y3x30IzXGsxzb9H5rFCx7+CP0IvC +z9AF9jM9csbCom0Q2yauDBXPbo33Fc+wBvPgy6yLHMiO/WLHu0S3Js43S8Xz +u8RzyVdtYWOvNDpmsT6+RhzBJgeJfjF1/ttHfvRC6nyzt+iNqfNNZ9FXqg3Q +mr+pW4dHNVl/9IcH/afUd/xJzXfMvaO/LaI3Nfrb+tS5Kqs7h2M36H5NR+W0 +qnPj86lj917i+VXd+ODX6j8O3yFfn6/fB2v85+ovUjtM9MXqL1frL/oK9Zep +9RM9pW75sFvi1o2Z8/IAyXmJvh0unkvVr9W+j2m8ibW1zyFq+1W8J3u/FneJ +33KfB8d3Ygj9URFPsJ9xke9YY2fj19/p0Rd9j6Dx3X4V+ywxAr2Qf/ZghIpj +6s6IF/jaBSXrFSyEPG0xfkizfW6tznVqYpm5K+TfHjRyvxpzOQ88/4m8g989 +ELLtjDWv1Pj+TebpRTxscvwHN3Vr8hhyfq/JspIfujcZv+BP+BUxekFgA+6F +vDcnct9j6h9NjJFuLfk3NPYIFvus6FhIfCSOgcnGR37hnrBj7ooc/37RczkH +cYSzYO/tuXqq9J5q3b412/W1MYf9GSdHEP+Ij8RA4uJHERvBpyeU7NPkXzAK ++ARZJoQ8izS+UO0i8APyqk0VvTn2YP0Xih6H5+aS+eAhHhAXiM/ENuId8W1a +3MHTBePYeXF+cN7myGvTtc6yWB+/uSy+EbeqEQ/BguzNvtj4T+P3VM0bqzYk +YuH4wLfcObmBfLRXB8cTYhKxZ0fEH2ISsYnYxV1uLzr+oGP0S/zsF7gJXRwa +GJ9zDQgMtSRyX8+QAT/FR4mr+OWI0AWxk7nET3x9eNwVsWpa7M06nzbYTsjX +QyNnMwc5iZ98Hxx7LQ/siJzdwr7AHtjtXpELiOXEdGI7ektKvkNsGpxEjO0T +9Qe2yfoHJvaROZnn9qsbI5HL50d9AW/vwDxDQs6LxL9b/bdqxmvYGDgNG10R +fjEj4uWgwLHLgue4kuVFR9gg62Cf1A13l31Ho8D1JdvQJSX7Nn49JfO5DqgZ +96wN26aOmBS/Z5WcY9DvPYl94LzINRPDZtZqnzWhs/si/5H7OMeCwJy/LXk+ +c4kfXSOGsMfCGD9ePGNL1tm1JWNW5lJDzIu4gS722G/kaHwQHS2MtdAR6x4Y +ul4YOZV8+kjUMqxHTOwVPHcHBudOsS1sDLwxrWTfvij8nfvjvKt11mfCFvEh +Yi7rtQX2IFcv1/eD1FLxtDS53kDfbZFDiMOrE9svPr4usb//seA6b0b56zhF +z/2PjX2Qef/AkuixJWoibHpCYCPupH/dtg6ews+mxnmx1baw+c1Rv4DBwPsz +AvPPqtj3wC9rEsuKnNsS6557+DzqW+y5U8R7bOLA8MchQfcKvwAbLA+/Wxw+ +gwycm5jP2allp5Qd5zZFvCO+nZ259slrxk7oFZ1+mblm+UDjP8lcT52TWZ+f +RbyeqfP/Q/RpmbFAMfAAurkj6hlk2xxYcZj0/mHiuDFE9AeJ96KmvL7sOHtK +o/MxetxV9t32DCz2fsTDA6jHE+f6HoGbodH56vApcjJvHK0Ru1kbfwc3bWnH +0vEe8EXgT+6dOx8YeBrMTv7FvrjP2SXrDH31jxp0ceAD1luj+7had9EovoNq +zgmbwqe4p6ER2z9J7IvEUb4vjZwFXmU9sDq4hVgOtiQXLY18RPzbHXa4PfIZ +8vQIzNSOZ7gT6CERt/cLfItu2mtK4mbvqOmQeWrUquQi7K1vszFn12ZjzHbb +mZa7Nrgxd078Ku4OnbA+uhgcd/xF5GjugvXJ25sDV/DONDJi/eyKczZ1FXgX +e9ma+t3l3PLXcZOeuEG83xC5m3qRecQW6kjqLmoBYvO28Cns7pawvQ41x5IL +AwOfGnEbf1kX+sX24eEuxjTbbrqofy4xDz71mmT7Zdlnu71inIGfg6O5W+4Y +XNcr4sudJc9nLrY/Pex/ZsV4AP/nrQscwDfw356auui3nMnxnnOusP2DVb8t +vVG3X2+q+92MnEhNja4Y567/Ipu8WON/zpzHr4q8Ce9Vwf+Hus+yse7zQKNr +3vvQ7025MXVLzC1r/20d/Z7YTfT7HZ3/2sJ/sb1PFEvf6mhfBCNxX6xdqvmd +YoLkeU/fdzQ57k6Svv9bdR2ATpAZvRCnidvbIweCGxeFHx0fee3i3DnuidR6 +RXe7oi65Nd4MsU1yB3rZu+QcvDTqQebimx/WHYs+UN9W97471f8gNyZYmdmX +ofFn4gr8xCbeJY4tuQY8puT3Gvx3Ru7xFZnfW46J8Za65fmZ+r107jc7OmZd +U3X9Rjy9T/3WquuHG3W2TVXnp7cz6+Id1kz9Rlaue41OVa9zRu5Ytjq3frpW +raNzRPeu+ttT6lc02U7P0DqfVY0huobvd1P/tvhLGr9Kvyvi2VV1fXK2xnc2 ++R3ivcwY6H31/cTzUNXYam3ut4sz1T8r/n9WXc/0F8+YqmvfG0S/WnX+fr3q +c3LGruK/IHWex0ZuSiM/Vz0H/kQ8tdQ1c5vGWzv6Xa1NrZ66HkbvR7bX9U0+ +J2d8uGpZkfManXOk6PObfdbRqc/7v6rtEpvkrANSn3d01WdA/oHsn7p276vx +LPWZX6wZW7ykvnvJ+YPYgi3MDTsBt28I7N4z91voqtSYiPhF7FqsOx0s+gH1 +B+Z+t3w69Rh5tG+8PzBOziCeDI7x6ZltfVjNe7A+OYb8tT5y2IiS392In+TP +vcMvyCHkWu5tZuYzjK45/nWPsxxfcz7qnDt2DS05xhIPR8Sa76XG9Pfk5oP/ +hJpj/qiSY/UTWv8o0Y8Hdp4WdQFYn5x3fGZcCD4ECy/PPPcR9Q+rHSH6ocxv +kqxDDh1T8tsl73KPZf79aMwbHfvCe3Twn1Zz/uPdl1y2PHAmORbMT37gTXJM +rAm+5a0ZTASuQwYw3o6o9cBiK+vOX611v6uC5YbXjbnA4uBwcho85MkW2d8o +Yliz8Sd+vec9v+Z6hPc/3m557wa3l+rGp7xfvpkbP72lvtZs+82aXYtPj3qc +OoaagbrguNwYa2zuOoV3WnLsg3XTS+rGBTcHNuB8w+OMq3LXP0+rvyR3TH4y +da1CzXJ/1JWrA8/3yD2+Qjzf1bpbwXCi982t06dS39nWqJGXZbafpeqfyhwz +n1T/ndzv/yvF/2Bme1uivphbR4Xc9TH/X6DO5fuwsEnq37VRT307N09rah9g +TWpq6ut1UWODfcEB3XP/3+fkqCF3p8YTJ2vfK/TtZep39Q01v1Ofig3X/A4+ +PnM+fDlwaqFmvPLjzO8tc+PNsE9mbNk37PSOePfelRrDjMuML26PN1tseHbg +pWdS22IlM4aaHW+he+JMxViS/6eAD8j1vOHMiXfLkZnlmiL5V6c+Z0eNTYw8 +B8bvnPld5RvqV2XOleTbbpmx6T7qX07tMyOo0TPXdxlnSl33dqhbh+wLzuVd +iDPiR1+mxkMnRQzAh9vfz+6Mt+vGzHVuU2YsdH2cZd/Mb1z7qe+ZuabuFf9L +vD7eDvtnxl0DIk7MivoLzEWsJE4WMr+jFTPXB5ujdqPfEvULWDcNvMtc3jTA +ya2Z75o8D+bdEnO7BG7s3eyab1a8XROb2Re8d3pmHDMp83qdYk2wGfriHNeF +PNR3+MTtgTOTzLV8Sf0zmX0QX8TmicV73sJT158/wn5qxsenZI4l7AeG+T/I +J87j + "]], + PolygonBox[CompressedData[" +1:eJwtl3uY1eMWx3979t6zL/Pb728P8UzMEUnuFV1cTlK5K5fjlghHKZdBHtfG +LfK4J7coxJPiVEhCM6WayBkeKiYlQnLLrZHL4zhkKp+vb3+sZ3/Xu9a7futd +73rXWnuXoSNPurQiiqIfoQx0VjmKHmGhbz6K5oJHQI3wg+DfB8+GeoNPT0fR +l3EUFUtR9D14ArQFXBOi6DnwTKg9+GToc3BvjJ+H/CT4z+APhh8Gfyj8UvhO +8H3AhYRvgN9MRVEenINmwjfBV4J7oPMq+q9BPcEtUI/KKPoqi82yfZAvE6EI +2SesDcHfrtAa/G1D/iCyb6AM+Aps7sfeqdjfjH5n9BfD94SuRdbG2mRkg9Hf +BH4ROgJ/7offyP4LoMPhD4NmI9uD/f9lby/oevYPQV5L/JqhqciHw/dB9xDo +Wfjj4Ddjv4R8Avzb8AOwPQZqANdjbxl4CWe8DvwKZ2jGdh/OMwf+fHT6Y6sf +NEuxhw4Fj2PP/5GNgPpmvDYTWRdoAbKFUFfwtWXbHol8GbY7s9aArBHaHbwT +9AJ4NtQBnOVMN6E7CX8z4J3ZvwB/9oeuhO/F96oztiFb/4LWgg9kbSiy54N9 +vZe13xWLxLFpl4uisdi6Q3dIPGL4O8EvBMf2PvT/QL83tH3GZ9BZVpadm3Xw +45EthK9n/8GcqQm8Ajot7xz+O5fLzm3lhHJjCmd+m29NZv8CcCU2Jyl/sZEF +P8XaOznnZBN4i9aQLeS8u7B/Pf6PA69AZybyAay1we+unEZWAz8r6xxfgnwO +ND/rmCl2O+lOs87By9Gfinxpzjm/ENwQ+1tNUEd0p8G3IF+E/HXwbGg1/BL4 +t8ARNp7Gv0Xo74r+7WXHUjk2kPh8hvzWrG3I1rbwn6a89jm4MfbeV6FO7J0L +/1rWb0Jvo7bst6CcPhN7Kfb8J2Wd3cr2Ub52h65GdjL8jhWuGS8qFthbxbeb +9cZjf0Pf6gGNShxDxXIx8mZwHd+YCD4GalTsq7iPIjHC3g9QVfDdNeBDEbwd +NtalfCet4Ji1J5FPgUrgHPQ4+AkoD94WmgaeDrUDX8Kevdn7EDYuBG+f2FfZ +lO12iX1TzBS7Ev6tZ+8jUAX7u8HHGb8ZvZ2Azjz4Fr1x8DaJ724VfDX4VHS+ +TPuN6q3ukPguNyBvn9imbD8KpcF7oZPPuMaq1pbhf0j7TDqbYqBYbIA/D/wP +1Ze0Y6BY/BtqTfsNTyC+w4J1x8BPjP1NfXsSMUhxN0+z9m7OZ1gMXsDaAZV+ +o/PBzwTXsnuw8VvJb0ZvR984FxyVbUt3rrvvhE4645gr9hV8bxr6r+vNoHtd +4tqrNclU81X7B7M2A7xDcG8Zi41fwHeRDzeRDyly4TmoCb4GqitQA9DbLvhu +70L/Z/AKZNsUXS+WoX8zeBW6FXnb2Dm41t2L/q+6v+DcuRP+J/ByaETGPe9s +cCq414xm7dvgGqpaqprzXtk1Sd+6Eb5UTc0Mvsub0flO9RT9P/Fhb3zoQFxf +hj8u45qg2lAIztVb9M3gPdqrOx8avCaZ7vjKYB/lq2JcH3ynulvVtPmxY6BY +KIdGg0ey9ibfXptzzHRmnV01/HZwgrxb0fX03bx7knqTatyx+DeZeM5BPgXZ +Ot0B8uuRX83+Nez/HRoPrlUNB49C/1n0x6E7HuqO/TRr3fn2EdBv6DyQcY0f +C+6FvD/6J+JfLfqbsT8l5RjNR3469DXfOxL+QmTN5MhlWdds1e4nyu79qkGq +Reoh6iVfQamS36Tepva8kfhN6m3Wwy9P3OPV69fpfYP/hB5I+5tp8PHYfAzb +x/L9E1TLoX55z1CapdaiMyjtnv4W+GJyoC9+PcmZ2pC/j/91Gc8wmmXOKTvW +AZ1L0f1IMcTWVeh8Ai7FznnlumLWiI/Ds+4Z6h2j2DOsym/0bGydyZ5v9f45 +0ya+f5ZyKO0YKpaDg2eho7F/Uck9Wb1ZNSkCzyj6znRX9+Sd48p11bxzwI3I +PsCPNLJ2/H4c7KvOrLNrhtMsJx/nJs614VW2pZzrFTzLPcyejaqfwbOJcka5 +s0fwLKKcUG50wZ+hVc4FnXFe7NqhmUuzl2qCaoNq8JjgM+vsA+Dnwa9Gvzd8 +C/sPI1ansPZF2jOZZrOl6qfgD6Hd1NuQHwS+G51fS16TTHe2MniG1SwrnWnw +1yTuferB6sWaATQLyGZn9QJ8by06Vq3ca33i3qceql66Fnn7ot/QaHw8LThX +NeNp1uuKz7PYtxxZN/BViWcvzSSaTaZD/9TbYc//0P80+C0qh5RLXap9ds1I ++4JvK3mWk82e2EpD01OeMfcse2bX7C6bM9jfv+S3rBlcs3j7avuimH4Ue4bX +LK+ZtS/4hsSzsGzKtmZAzYJ6I/Own1T7nDqvasdBZc/yqrGqtfqPof8a6skX +s3888qOITz/NBtWe2TW7a6bqoPcHPzDjHB+i/o7uyirXX9Xhi7CxV9YzmWYz +9Sz1Lv1H2Rw7Zoqd/qNsij1Da5ZWjmyBHxRcCzTza/ZXTig3NOO2IX8Z+VEZ +1wjViumJe5dmTM2aemN6a9KZo9kW/w6IXftU41oS1x71XPXehuDZR/9Z9N9l +bnCt0Zs+A/xS7NzWmXX2Guyt4bwdC47pMvjvCu51mplUI1Ur9R/mJc0KyF5R +zhVcw38quoeqd9YW/LYXVRnrjQ8M/q+i/0Q5bLUV3cPUu/YpuJdWxsbqqS1F +9wj1hnegDcWtbwAbNeg8A99acG9RT9B/AP0XUE29Fft3aP4oem/Hrb42FrxX +Pq8ueibULLgeyqE/tcp4X+Qbi14TVo/VTKfZTjlQB/4L1w8McQ== + "]], + + PolygonBox[{{4348, 2721, 2565, 2175, 4368}, {4366, 2174, + 3138, 2631, 4244}}]}]}, { + EdgeForm[], + GrayLevel[0.3168664774817619], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmHtwVdUVxg/k5iQ3996ck9p2RjRQeVlhrNpq25kWtdp2OuMD0HY6FQ1g +HcWqoOKrERAlPmvroyKQQAghIBABHR8kJKHYaC3Yh7W+/7C++7AVFSi2U7Xf +L+vL+Me+e9199l577fX41tr7sHPnnTF3ZJIkx+inSv1leZJcm4poSJK15SS5 +UuS2LEmOqEmSpZpwzogk6dL4Eo0/ofFjC0lytsam6P9FWrdM8/6bRH+v6aWm +PxTdVhX/odeJz13qnxafzaI3i35H9HjNGafWJL7j0ujZ9z7NWa05r2pOu+jp +ou8R3SH6TNHtojtFXyB6g+jVos8QvUL0opqQ8wAySOZWtRn6/wOd9xDtsVb9 +SLVV1UlSUP9DtfEa36j+YK3frfmj1O9UvzMNWQdNbxH9mOhfpZ9+f8xzhs9/ +ivpfav33xH+Z+lvVThL98yx0g76Olzyr9P90ja9R/wu174i+W/03xK8mDdlv +l0z71B+v8Ra1EzTnFvXL1U4RvVL9Dn0f0PwB9d0+C2daJZ1Mkyx3aM512nOx +2ruy/dw0/qOfeWmMM4bervOcWdhCdLd4tqi/EZk1v65eupa9Suq3a16P2tgR +oW/W/yeJdQvU5oieX0ySCaIvTuPbFPsP+yyyDKnku1/71Kivrg+/SdXPToMP +slyssV7vt1Lnmqp1t2n+QVnY47PqC9qrqhjzevX/fOmnT31FrUdz6tXXqj0g +umg/b7Gvs393Gud9sRJ+2ad+ks/O3Ne15ibxfFP9dM2dpvaA9npS/y/T+C71 +Z1XH+Tn75/T/cfH7vPpN/na/+n+p3SF6j/rJDcHrPNmrwbb8jPpn1Jo151n7 +DP5CHO1Iw/eIDXjje/gm6+HztPqfqJ0r+i31t6pVtP4W9ReqzdT4X9RXie99 +WrdQ/Ui1daKvVX9BIeYfrn6E/q9V/1P1XbYjclyu9YvEZ2RD+M9E+wz6YA46 +wXbY7XnRB7v/kWR+zTIgyzy1S0Xvt7yseUHzLjTPPSPD7mfapns17xJ9m6v+ +Co0tLsb/5cX4f4kx6fpiyNnqGCFW9qhPi+Gz2+qEaSWdqVa60pqvFWPPkxti +r5fkXzcUgw84xzz448OjRX/d46sdv8Tx2tpYw3gqeorojdYHMYBO4DHffA6o +P08ynFQbOIJdO5I4Nzrl7GDVKLXxjq+h+Ekizvs1fncS/vpAGtj9VfFsFL85 +aYw96HH8HXprIfhhD3yJ86Gvi/yNNVcloavtjmt8a1DjfRrfZbofzC0E3oF1 +jD3uOQM+C/6JjOASuA+mMgcef1BcjSGeK7FvTxo5hhjtFb2tEDHX4rjrljwT +NTZBrbEqxsgR91QFnhymNrIYegcfnqkNv+EMb2ntO1q3sRB8+y1PE/4rPmcl +EeOTjW/I0mt5tlm2liRyCPPY/w37K3GGnJO8FryGT6v1DH90vVnyFGpDVmJ5 +6XDeLIf+ZgnrDi9G7BF3PcYosIozc3bOeHMWuAf+fVAT/PCJ6tqYx5zjsjjv +TdLthGLw49uy+uBzWiV0wRzs216I3ATf5eWI0R9r7nnGefD+3ixyKzkWTMVm ++MkKnW1sGrZ4N4vc+OU8fAZ8w09eMz6D0315+Ht/HngAf/b7k3EP/Ot3Tie3 +oydyATrqs2zI2G1swffXq19HjBYCm4kl4mhEHj5HPm8SfZRi/pqG0ME/rKud +XoPcXdQFap0aeyMLHsdo3f5C5F/qh5cqUZ+8IhmecA1DLTPbOYvctb4QmECN +0pZFT82yy/Gzm9ipRHz/W/w/0poVGv9ffcTHoGOEeD/W+z5cHTSxT3+cx4k1 +cgSy7vIeD5bjDNQe1EwdkuH76teUgz86IU47ClFvUB8QRyvM/1nNGyfev5eM +t2fxnTpisv0c30bX4Co+sbY+5Dm7Enpqs2zt2muV2krXX8QNuf7Jcuy/VX0b ++V2toG9Paf2p+BTyVyIPvJrHemqe05PIdTud76DJf5tdb5Bb8YcjZeNq+f2X +1P85C4w8Wnw2usag1hg0D/zzrHrHfX3IjazIebb+n6B+u/oB18bUyJ1auyYN +/Q35jPpvJ6GD/T47+XmH68NVhTjDiZrTnMXciZLnIZ2xWueukpwLqP00/sU8 +zsc6fPLXrpmpna+ihhQ9Ng/+xBQY+0/XGNQaHeBuIeZhL2xxvGuGAcfFkF1E +fysJvSIbsQ9O93vemkKcDz74CPR06wKdPCR5fuOaitoKnKT+Qde/zQIvj8yD +H98Yv0bjJ6sfn4fO8FH+g7U9nrfd+R4MH9Kz5+DLzMff7spCFu4E1O+7bEf2 +h0fLMM9CYPgO31+4x4BJg9Yt+RCMvdJnB3/QNfprt37ARehpzrP4GLjX6/z1 +u0rEAfFAnM+oRKwemhuXCmHXK7Lg94U8xrrsM5dn4RejNd6dRc04SfQGrb0v +DSwZsmkacjS5PgI7V6YRP/dWBR7i2+Am2AxGo4ftWcg7OY/c3m3cpu5bb9le +1PqjqwMDqN+mplE7kSPI8WDvnZWoXz7IIz6J0xcq1mH6aQ7fav0P+u7GHe7l +cuTjgxt8Ls35bhIYiQxg0xZ931sT+/W59n65ErIhF1i9KQ2ZyFlThnO/1m5y +bkfOR4XxvcWoxcDFAfteaxq5ijr/LsnTUopakTzwovnf5LsVdyzqweNcE1LX +zvHdBRtgi2nGT2hiZLFrNuaiu6mur7APdsLGU13LMU6dS/2AvakRmlyTYUuw +kBhjHmPkPOK13VjKfWi211IrDssI1jIHP6MeXuZak++chTMsdp1MPbuuGDU9 +NSAyIBu1EHvAC0zgTNwLyQfUvdSJ1C2jq2L8gHWyyvsuKUYNjP6Rs8l3t9X2 +43bbClti67G2C+d93vcd7j1DuT0NfybO2A+f417LG8FpSfT8Jx+P9Th1CHIx +H5mX+KwXO8+02RazqJ/qoj76UO1x+cPJtVFTbXadRu2OXyLnC77PEHfYZ6xl +BoN3OgfhWyssA3mQOzz4W8jCR6uzyOkz/C5RY/8+td73d+M5djjEtnjb903u +nQvTyBfsP851F3rg/abZ3z72ew7vOoWGuKNxV8OO3LP2GDtmWbejHO/jh+PL +dgFTwVZqlUW+2+H/nId3CXJKs2VAngX2TXJ0VR54fGwe7zqNfkcC1/DZ19VP +zYPP6XnkPHCotxx13HpjKfUUMYD/U6tyJyH2wfVtxurWcujgozxs3mg/GfDd +nzeASb5D8A283+q80Gi/whbUyNwxqJOpFcCM3VnUf+TM57KI9Q7ngrZynPXG +zHHnHErOA//6s8BcsHYz92v52qB87MSqyP1gf0856ohO51bsMM224M44zTj8 +vt8KeDO40TUWb0Kp3694x2r0GxpnZ9108xl603COw/7zHMtb/Baxyb7JHYm4 +pI4YdH24236wyzmbPLytHFg103mIvsm+Sm4DAx4pxx2AHPtWFn6AP7wHrubh +U9V55Dxi8eFy4FyT44v6Bkx9tBz1eJfz/tD7oH2JewNz8eFTK2G/m7XuKb/D +8B7D3PHDuCH97y3F/QqbjzE+fJJH3FCLgVvrjIfsiS/ih10eB0OwS5fp642f +2Ij5yIpdh2Q2DQYv97vEfGMyeXSta0dsD+a3OY72l+JdgDsSuD3H2H6F+cCD +mqjTvrjVtXSSBy/8CTvdoPMeXo4753qfhRgjvolz4og6ZL31e3RDvI0c5dr5 +RL+1dfpc6P8I8SuV4l3jkTxy+PZhH/a+nXn43XMa35eHjrlPzJM8c+sCX3lv +udBYtMbvsbzL/sxvpLyV3um3UN5E/6o992ntRNvhBut/tvj+vS7e+xhb4vGl +fnfl/ZV7MeuI64XOAcTt0L3Yd2Nw7Fpj6SjxrC5FvhwjuqYUbz3kkCXOa/M0 +9s26OAf4utA850p3x2h8pn2q2TbF7ybUhe8t9Jpq55Bm73tJHvzezwMnDjJW +HPD7GO9k55ciV5GnhuoA5zLsvKQubL3A8rDvVzT/0rqoq3gX2Wi7pxo/pBxv +RTvy4DcAhmjs0HLUPj3F0C+6Ha35zaKvRl+uX3kvpEaHLzwnuKbnvbCvPnz6 +Y8XUTK17qBTvsshBDUH9gF/zTkVOeSV3rlN/RB71IW+T+B/7s8/bntORR611 +nd+ruYeDC5s0/sc8YotadVwecZJkoceC3w/fzAO3uF++l4cPchfvcOyAw+gR +v6EmPCyP2uWTeuN/Gti0ty5qCPxoREPYn5zwUSXqgBma/3F91G3zJcOYPGjG +Gl1ncHZ0usW2QV/o7RzN2ZCHX7QO50THL3VJwbL9TTI8WIp3r/2i95XCp6nl +uctTH5PL9/qtCb1ucH7lbgFNDKMjdHV19uk3avLe+jgLZxo6P3kki9gmxic1 +RL3T6lro/2YUasA= + "]], + PolygonBox[CompressedData[" +1:eJwllmtQVVUUxzdw74V7L9xzbjmVpjAOGFlTOZNUM+YLsmlGxNS+pJRmTTqV +gJVYUE0TiJY2iqOSrxCpSSQZS5M3M5VWYA97Cn4oTLHMCkWoL1n91vw/rDn/ +tddjr73W2muf8UuL5xclOufegAJQKObcziTnHgS3pzrX4zm3Gbwy6NxxsPNZ +59ODcgI4Me7cSyHnClhLAK9jLS3ZuWXIC9KcWwW/A/lWfLbiexc+ZuNrAfo7 +weug6fBz4deCg9B+bGfD17D/KOwbkWezlo+/75HvQVbG2g/gTuR5Kc7NwH8X +8jrWCpA9gM4e8FpfthbTq+Aa1u5DPh/5NtsbGkGeA9UTXxJnCCbpTAHwCDYl +4MwE54bB16B/NKAcfEp816HTRgJDYecmgW+LCw+yx0z0v/MUq+XwW/AA1ASu +Yu0cuBSdXfjfxp7t7N+HzwXYPwV/nvMMIT+I/xrWCvHdj00t9h8Sw2nwILQx +KJ9/gsd4qk03fDe+JsP/Bn8DVIP/C/AHnM7wOzjKWi17LWOtA/1D0HSnmlnt +PieGDOT5rB0HV0EXsB1gzynIX8dHLvh+5BvAZz2dzWp0BnwYfzOczmhnXRRT +L1RSj03wm9GZhf48dKrBp/Cfhfxh8t0HvpYztyYqJ3ngAmyS8TUFWmK9iM3j +2Jdi3wa+1eoXlo3ZLompl6ynH4kpp5bbb+iZU8R2ddS5xXwDYfXQWPAYKAf+ +TiiIfDT88pDW/oAy4O/im46PZOTp8E+GtHZ3xLlxqbJ9IqSeNL8W0y3EczJN +ubQz9oIzsa9GfwW6L6NzCL6Fb1JYMTVwxixkc7DZB66HrofPIj97fd0xu2u5 +xNIOn88Ze5NUc6v9ozHdZavxY+Bh4jvHHhOsJ/A/AX4kKnvzcx7+fYshUTGM +jitX1uPW60OmD2WbLdQL/RKVryB6X6TprljPfAmOIruR8zUQ81R0+qCJqcKh +FOU2hM4dYeX4KDgxopzZvR6Gz4ooNtuznBiKo8rtCs47jTMOB3SH7S5b7L+i +nxjWGaw2R+DrU1SjVtab4d9K0VoReD02B8BD9GRFVDWxWpiOxZ4OvzqsMxyB +z7V8st94X7m8HFEuLKe58MUR+RqHfUVEObLcBFK01ysRYduzDH8bWGtK0R57 +qdFk/BympxeRvyJfvVGJTklcurfbnsmyKYmoJ60Xbe0iOehwmgmXPM0Mmx3m +47L1TqpitNgs5+9FVROrheXMZpbNLrvjOdi3oH8P/urhJyBrg78X/h34ifCv +eZrdNgPWg8f6in0qa/3Ev5K1SUH1ZLK9B55yNxP5s+AXPfmaBf8C+CqoK6AZ +9zF79ePvJHVcTPynwc3IVyE7iE4L+BhUAd8C/wn4GWh3QDPnafAaT2+TvTFV +4DlpmoX2ptjbstHT7LIZtAl8Aqp2iuFr8BVfd6+c/f/1NfNs9tkbFUCeDL0b +UEydxFsO/3ZAOSsDb/E02+zN2Wq60ELwctYawds9vUX2Ju6w2explplOE/ih +mN4Gm8mF4AD77w6qxkngNz29pfbm1YJbU5VLiyEbedhTrixHXch+9rX3Us5z +BnzJ110aJMcXfc1Um612p9aQqwFfulaDs+AO/FU6zdxO8E1xzaJ56NwcV82t +9tuxv0K8H6Sq1laTDF8z32b/NDsj8n2e3h7LYQO4Gf08+Dr4THT/icmX9ZD1 +UmGa3mq7I3ZXYp5qbzX7CNsgNj1OOQqBT/iKzd7Qr8A/+eqlhej8CP7L19nt +jf8bPMrT22pv5DH8rfYUi935Uvv38GVrM7gOvN/XW2UzuhHc7elfyXL0mcUW +01ntzZqL/HlPd8nO+Jz9T8XVW/bP8R/y/wERjDyK + "]], + + PolygonBox[{{4191, 2609, 2918, 2115, 4286}, {4284, 2114, + 2916, 2607, 4190}}]}]}, { + EdgeForm[], + GrayLevel[0.40739975676226525`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmFtwVeUVx3dyzklyDtl7n4PXWok4HbBVZzo4FS8zigFahwjRsQ7YiiA4 +U6XeuDi1Is4gigkRR0O0nbYKsb4YbAnom9XxQa7GehmtEFBBjfahMwWVEAQv +/f/8r0x92Getvc761re+9a3rPnPhHVffXp8kSYN+CoLTS0myrTFJZur9cDVJ +bmtKkmHBjoYkuUK068VzTDyX6WnT+w11hnNF3yeet8XfKto4ydgm/HTBa/Xc +WkySu8TzkHi69BzUZltFn1ay3Puak+TDSpKMaE2LeG/UMyD+zwrmnSf8dfHe +zCP+7eLboadNspaU/T5D+MYxSfKe5BzW+6+r3ndJmiQ9wg9JTk34Zun3ecjk +//bQbVhrxkvWIclfLtiiZ4vwSbUkuVdrhqTj4YLXzhf/B9LlBq19Sfh67buj +4jNjq+1at0lrHij6DOz1I503k8yFol8kmS3YU/rslZx54usXz23S8xLJuUf/ +L9R+J0pum9Z8K/pdkp2IXqfn98LrBfc3W97B1OfkPOeKd6lkL5Pct/Tf9DxJ +dup9muAp+v/TOu91r/7P9J7qmaPnTr2XBdcLvq+nS2tOLfqcnPEV6X+Z1n4j +fGkp7kM870ruCuH/ErxH/1+NfQQfFW1Qz6p6n5vzc+YvuBfpP1f6T9WaxeL/ +j3RfoTUNBfvUSsHGUVxnfL/i+/mlaPsFx0nOftGelX2O6H1tg32LOx4SPNDk +O9sjvr311hnfxEehXyna84ILRO8oWC4610Q/KjixzjbG19HjHcG5skWP+KfU +LH+84BrRTxB9bNE25izcPTTuFTvvFrxe708J3yWdd1bsr/1N9tNM/Fu0Xzvx +RAxyf+Lfk+k8wm8Rz2eC22W/GZI1S3yPyyb7wkd3EK8lr8/1bBb/SJ3Pd5Xe +F0rmiNbfLvqRqv0fGfhwVbqcJhsukt7PhV2wyU7JvLLk92+1x5tjfGfYGd3I +A8ONPsMUreuRPnvLjp9d3LvWXaNnddExw179+m+znh9q3YbA18fDf8fFsylw +eBbp/F9o7QmpY+6LiKMhnWGh9v1EsE+865rM36r/f9dkH/qmavzrqv0M3T8X +vqJsOxDjL9dZx0WJ/e3uJt91sWa8IFiS/m/oPKvF86X+e7DoO0IXYht9Ppbc +BeL/SPBOfLbJfveB3ucL3y+4puC4ID6wF/Brrf2wav4DVdsNOdiOHPyLkvPw +eaJtbfLdko9GAkcv4hbd+D+JfHVOzfjZ5BjJ+Ur/VUXvr7M8dL5RtElNjg3u +cUroMxTxcZ3wN6TTNeJ5s2p7DRbsq18JdhTDT8Q7r975c1fV+8zWfWXyl5/K +J1qlR2vkePIh9h2tG0m9Y5575+64N94HGwzR4UjBPoT/YMsbQ+f3JPfkZteA +Bu27QXuUBC+UP58k+hUNjmf8iXNNS52rHxTPWuF9kjEF/ppz02TuWnY4EP5w +QeqYvV883cpRl0v+utwxRqw9F/q3hs4bcsfLesFHc9/dI4JbJWej+A4JDuiZ +Kf7XBE+S3KnCXxZ+Tup7vK/q+2EtMYrNqI/c218ka5bwJwR79Vwl/CnBSanz +0iqt/XNu3f6Uu56sKznfL9D6jxps8z/ovzbR/yj4rJ7rhP8t9xngwebAjwPH +Zr3iGVd0/oaOPOBQ8GAn8iA5cELqevqrqmsz90BOpZZ0l1x7uDPo/P9Zbvoh +wZ6yaeTewdQ5ea/gQ7nt0CX4ut5nif7P1HFBHJDrLkl95ge0787c9WlX7vsn +N+AD1KFO0fdH/iOXknc7cvtop+CnuXk+yV0r9sYZBwOfUOf42Bd0aOD0PMQG +un2XD+vtkwfrbD96GmzYFX1Uf9gbu3Mv9AHUxp+EHdaV3c/Uqq5HT2T2FXxm +mmg76o3Td52jNfv1/nT4Gvgz9b5/6jc+MBw5Dx3bIhZZ+7HWdohvKHdN407p +J96mlov+Tu4zDsZ51+buER/O/x+rxC89xO4610f6JGx0qWLqidS6Xib+gdw9 +yauC/04da1Mz1xhi5/m4F+6EeKcnoJ7+PM7XF+dCr7dL7nGoRWuj7r+Uuz98 +UbBQdR9TrLqnoQ8iTy4qOacXi17zUPSiQORQ1+hpkENuqxRd+znXxU3ua8lx ++Dp+RE1/MHc/vDq3bcGxL7FFTqfG3CQ4UHKuPBT39HDqvg17X1BzHNOTYUtq +ALXkq8S1Dhwa/Rr9BPtyb+/qubveZ8C38Ks9qWvN7tT5ilxFzSK3kFfI///N +3Z8dzL2e/o3764o+CjuQq49Fn79GtM6gdwROnwPsCDr5lDs6O7ePdwWdO1oT +eKHR9uBcrIVO3wQ/crDb2NQ9803yjRNT9w+/Fb5JcudKn78L3lt2LaffYEah +NuHf5Ax6w/nRS66MHpJ6Oz9q3MmSOSL6bZl7Xu4YH8FmHdEHkqfXRL3mztiX +foEYJqbphz9JHff7mh33qyP2qX/4yMSaYxLf3Za6bo1E/3ya3r8W/7LM+RK/ +xCfphQYjzzyeO0c9lrufYB12O1Vrj2ntYq2dp3r3Qtm9Of41N3yMO90d/slM +wAzWFzE0p9FxNCdmM2o3s8XKqMGToyZeLDi70XzwsIb3l8Mms4N+ZsxezAZn +1dxvTBB8Ibff/yO37vyP/vdE7KLfhyXnSfLlbzLHJLMa+a+77DULIkeSr+h3 +6X/oc86S3DpyR+o8Qj5pzexTS6Mfp96Q9+nDp8Uc9KT4T6t5HjhP8K9V15Kn +q65rH0WNYwbqjjmIOwdy7+y5IPR5RmvO19q+qmvN/Ohn+qOvnxK+NNr3oePG +6DG6I89T77DfujgvMdIddGa/JVEL8Hf8fnnBvD2jPA3GR++Atdj5ycy1d47O +e5X6sZ6Kc9hN4SPkt5sDkhup2fjii1q3T/zflD17EFuzovdj1tocdXdr3AP4 +8sx5dWLq+jAzahy+Mzv8bWPkb85+bfgV/vhYxfqhG3WCetGau/dcHj3t+Ih3 +YrwlcjAxgu7F6IHbI6/jk/T4K8JW0ErBs7Zsmcw7wLUxQ5HL2Jc73RwzCLFI +38fcRV2i5iwL3yXvrojcSx0AEmv4NP9TL+jRmL+oa48oR5w+xvowJ93S7DMd +qPjbBz7NPLeq2fowky1ptp6Htf8ZTc5dR4SPb3I8QRuO3uaDiudk6jw1k7Ns +j3zDGvgvj9mRGkC/w/cX8i7yXgmeZ+UDk/W+UfCpqmeE3qp7xvaozeRXeOh/ +yWmTYt6Eh1kUPnrV72bIetthV6NtwT7kC/x0VsyX1Cd6tMNxFuy0rNm2eit8 +lLvjW0JnfE+gJyo22v+JF3D8anzM5mfWTCsFnbgDPxrxwRpihFo0GPWIGrsn +cGZK9EGvCZHTrhSckVoGfRlrCyF/fswlrO8tu084PfwUHF9tL/v7EO/MrczA +8OCf+DF+yz74N3WFfpCee7TfBqdXGIr+HHx7fAMj9ltjFkbm9Mhv5Dn6t5bQ +4ceRM8md1Nrt4fOdUYd5Jy6IPXyPdXujv8WehbA5OYXcMlB1TFMTsAM1cGbU +Qe6uHN9Mlsk/l1bsr+zfEjn0eMHzJLMk+WbxGOcc/Gw4vhtwpr6w1cOZe9pL +U/d3o7kZn8Qfj8e3KXyG/bFxX8wAc6LO40v3Z+6lzkuds8fFWmrv+vgWcV30 +bpyNHM+sxx5LxvibCN8U+BY1Ob5HdRZd0xdGr9gefoC/t0V+Xpr5vD9IrVtv +nIse/dT4ljgvenZq1s/IAxX7Ysf38s3KzH3Luan7uFXfq3X8z1rOWgn7M8cy +pw1kno8vqngG64p1L0UPn8V3KuYo9Hgt8/+nhG4HowcaiNlwXNCBLUFnLqkL +v+qJ+4HenZlnunQ+X+e6s+LcxEyOrNcz6zg2dACeEHbgTGMDb6/ZH+m/yLdp +8Hdm5r8wZuI0zr4hcjn+v1hrL9W+t1ddx9h/JPyQPM3dkY+OFtwzM1cj69XM +36A2x2zC949j4bdTy4497hGf3RL99q2Zv1+cFP3mcMikV++PPpzvSSNB5/8j +4fN8C8Bft2X2qePhV+SPqbHX86E3OhyN73fg1Nt54bdtMX8Ts+h7NPjxy96w +SW/koglx7i9Dn1Lk1aNR096K+e6OzDynpK6VGyK+qJmbInb+B+V8Mfs= + "]], + PolygonBox[CompressedData[" +1:eJwtlltQVWUUx7/DOUcPR87e+5Sa9WDyYBexSRxNbSYLpRrvjdU4U2aGlaJ4 +ARwz0sbJFCxJRa1UQLQXRfOST16qmRIBMa3UvAveH0pBUzCzy+8/y4c1e61v +3b69vnVLz5k+elqKc+4HIAJ85ju3LeTcC1HnloJ/DGyBfg56IfgKYAj4vvbO +VaY5Vw49AvobZL4Er/GcG4OhQ5zNTjg3Efp6GDuc/Q7ejMxSeJeRvwr+NTAW +ugHICJzbj8xYZI9AF6E/Gfom+gs4+wO8DPkXo3ZH3fUrdHrHnGuDfhW8CRgP +PROd9ehv7uBcY9y5Vs58fvRn+K+Abwd/G3yBb/92B1jD/2xE/izyt5DxkOmJ +TB6+N4Ivxl5/4H7oRchfQXcw8oWSJx4PozMbG/XQ+8DzU/EHP4DO5T55nF1E +pxjdRu57Hjwb/jj4P6LfDf4U9NM5m4tuN6Ccf76NbBL/FeCfyCf6e5Ev1325 +X1/0HPwx4BXcrw68gDtmQ1cj/33IYrwFvBc6HvazsD0I2IPNkRH7x9eQvwVM +xV4LNqaDL0Jna8h8fgq+HNgeshxYCX6Guy9Ps7sqZpPROYHuW+AXwAvhncLf +FOgiYrAE+RzOhiKfztllZCbwfRM4C16KbF+glf/bFrNYLEkzXcUkJUmMOW8P +XYB8PrzuyCxOtRivhs4KW0w2wP+COw6N2p119/1AIfRhoBf8WuhfQnbWAP4r +cAx6DvRvwoG5UcvJTGJ71L/HAzLRX87/5OFzJP6fxmeEs0p4zdhIAb+EfAn0 +CaA39EBsdMFWGfQNeI7/eQ+9dtw5H34ucDzFcvgc+B5kJiF7EHgC+if0RyB7 +AjiC3xL4WVGrUdVqIe/5D7wSfDSDzyI2fYCbxLMsZjWqWh2OzmrwVb7htfDX +Yq9UORm1N9fbH8PfaOwtAlbBn4HNO+DF2L8GPpX7r4jbv+9X7nDWBn8h/Kvg +S3zrJTXYr0C/GpmnkG3Ue6dZDamW3kC+H74qoUdB1yFflWY1olpRDC+Dfwfk +Ri1nuyfs7Vci1zXVcqAC/o6Q2VgLfj6wXKyH7gF+I7A6VK4sRf8AMjOj1rMy +oDt2sBpW7SpHsznrCq8KmfboPgh9F92/9V78XyfoVvBbwBTogcRjLv6b8PEs ++CNAwHvehX40aT7lWz3oUGBvqrct0D9zlwJiWYffrTHrKYqRYvWy3hzdU8pv +7B/mLFv2OYtGLCaKjXqqeusy6OvgO4G6kOXQt+AtvvHOAH0CezO9ne5YD76p +g9Wgak89s477nOY+tTHraeo56j3KuWLf3khvpRmwxrccUi6p5j737c319sqp +xb7VSiX2a2JWM5ohmiXq6ct8eyO91evAJugw//g+svP4/x38aw3QyF2rgb3g +69Rv0X8J+SrfeoJ6g3Qi6B6AHtbOuQH8R1HSak61N46YPZOwmaTZ9Cc6uaod +5GfFrIeol+gtqlU/MXuTVvjT7vWyDeifi9uM0Wxpi1kNq5Zl41/wj7DRFDee +cnRXqvVA9T71/JlxmwHq/ep5p+M2gzR75FM9WL1YPtvA05OWWzm8aSO2j3vW +61vw+S5476TlhnIwE7wnd4xHLMeV64qhYqme85/eHhmPO3XFxwDwo3rfmM3U +9ZqtyHsR64HqhT2QcakmI9n58CdErEaWedYj1CuGAw3wdgILwtazDiZs5mr2 +ykYGtnZzVhy2HnMcPAsbTSk284Zo1ibsbW4AkzyLuWKvedKCrZMJqw3ZkK1L +nOXEbAZpFjV41luOcf85qnfP3v4k9IfQDYHNVuWIcuUBzv7C1m1gGrL1vtWm +ZoRmhXq4erl2mGvQ85A/G7WeXop8FP5a6HNAv8BqTLWmmRAOzKd8a4coQX4U +dAj/g/DXSb2As/ERsynbz+NjRthmejb4Zt9qQzNdsz0LqE0xmUHC4zbjNdtV +Y9qZtDupR+WB58dtZ9GuopnQGdn+cft/1bh2Nu1u6ilFnvV49Xr1vALPerp6 +u2I0HXxwYHfXHcrR7eHbrqQazfAthoqlZkaXhM1czd4PNIN965nqnZoZnfU+ +Ccsd5YxyJ5mw3G4G3vFsR9Ouph0gRP6MSlpvVU8cCf64b7msmD7m206k3Ugz +Z1NgO6F2Q+XIxcB2Tu2eE4FdyD+ZZjNTs1I70hHf7qqdQLvBOt96jWaMZo12 +VO2qqrF53K8xsF1GM1yzXDuAdgHlRLvAclC5qJqa79kOoV1CO+EF33Jcua6d +tyOyVfAzY7YjaVfSzNfs1452M7CdV7uvZNYFNpM0m7QDPJSwmaXZpZwaDL3b +t3/VTNBsKE1YL1XNXUlYjBVr7ez3QfdLWq9Rj+gP/j9mDcEy + "]], + + PolygonBox[{{4206, 2622, 2929, 2156, 4339}, {4337, 2155, + 2928, 2621, 4205}}]}]}, { + EdgeForm[], + GrayLevel[0.4979330360427687], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFWH1s1dUZ/vW2vff23v7OvZcv9z2rmyKgfBhpQdBoS4IJ0GmQjyYThdKq +KDhokYBjLMAyEM2cGpMNXGJJNs2W8bU47Yby9Qe0FCKJfEO7ZcGEqS0dlMIY +ex6eh/DHyXl/57znnPe8H8/7nl/F3EVPLExEUXSiKIqK0Q9ORtEQtFX4XpKK +osVo1aDngelXoPeCXoq+GW0W+KamNL4Ia5/JR9FEjO1G31GO/cD7TdDT0lG0 +Getb0O5Iqy/CXBXWvYpWibYuLT7O8Xs92ofg+XMuip4qjaLtOY2R/0nL8obl +mYa+1vSjaEPRIrSNcRT1YG01ZLgjRNFxjFWg/9RyUt6VaIdAv4J+PhTQajm/ +Db4j4L831v48i3f9jsc534P+bfC247gmzLWg3V2kfrP11mya8zvQtqO9z/2w +/i2sXR1Lxy3m74Es3WifFenMab4Xvzn+Fs7qBH0J9BbQXabfA30ZfV9S8+fQ ++kHvjDTGueUJ8faZ/0JS53HvK+ivoq0Gz3X0UUprL4L+D9ox8BSlNN5dpJ7f +r4K/1zyUjXtwL55fD3v2gedkQrJcsczdPvcXkXTZbZq6I+910MOC7nYP+hGw +fVcJ9A8bncX3y6D/if42rCvAZvvB15GUP84HPQpjI9H6sdde6Hcy6H3o0+hP +2fcasVcd+I/mdeYpn8v+tOkvrMMbMhdJL7T1mYT8jD42O6l44Nn5sij6S6nW +/wTytdL/ce4LYP0r6BfRfx/fu0HnMf890LtA54Liotb+vyahs3luO+SbivE2 +9O044xLu/jzG64tEz6PPQz+XQT+Sk7/3gV7p+T7zLMAZH6EfjDPPg+csxs+g +nUWcdmH/ioLkI89C9DvywoHp6Cdh7WHorjpo7uMixfu2nHDiX9gjQpuTRYym +5d/UPeOwBjxXcc4k9M8G6WEgZPhWLP1QTzU4ezp0d7JcMUiacTgoKQyg/uYH +0QWsWxgkw22gf4DzDqZkjxMl8iHajve+7LtT9g77RmNK8V5quiGluUbwHEJL +0Aex7mBS+w3E2AC0pGN5qeOUuqU9qOc2n8+1PIO2KbY85KG92B80P/V+Gm1O +Qv5DGSgP5aIsN+VtsF/9LSEsvoknxBLuyblm09TxFd+Xfb9pykJ6QSQcavY+ +lK3JeMVzG62HeWWyAfF6K3Q71/S4lPYl9rY4L3BtF/oPUpKP8jb6LhWxcGuA +cbfX+MC4J+48h31+jrnn0R8JwgnGAGOT8bq0WHFG25al5Us9XkesYCw3O54f +KNY+HH89KH760C8P4l8GWR7LwM/gX29iv3ewXzqtO9RifCbG38X3PuxzZ1p2 +5Bx5bmIS5aNs/dhzA77vD5pPmYfr6AcJ5yDKTZn3I36mYO5AXvhHfL2J22tM +X8ReK0Dfib4TsjRg7nRePkb70b7vQc5qzDVhr1XgWwL+5bFwlzR1229+2p26 +OW1c2wC+dsT8COz5yyAZVmLsR9hzSrnstzatO1AHxKdnEsKDnUH0klg62uH8 +xTig79KXdmHfp8Gz2HhGmjH7NdbWcS36bWnJzvz3Yay4OhwrjzCHMNdwvzr7 +O7GW+ZV4+77zJjHltSD+VVjbBl+dWi4f3IvxeowvtU56nbPWWbfUcS9aE+jv +or8alLvHoZ8FPcwo191oQ2IKbUgM3mDZPgXfXNBNsWScbQxhHcLaiHi4p0g8 +xMgG64cx+mv7DH2H+DDLmLA7aG1zLFl7nZf77MPDg3I18zbHWbNMSEq/HcWy +Ff2tyrVIJfqJsMWz8IPPguqmH5cKo4ltHea/F1hcwrFy+S/9mz582jmBeY15 +7FSJsHSo5zg+PiV6WST6wdQtHKPd6A/EuZPOQbQJa5iXIuH9VNeKta5tOD8m +SNejg/Jfq3N0j3Mu9V/mvEJZ3jTe8Dzqb4/z0XHndOZ2+uwu51zaZLfz2mbX +WsS+6c5xv8vrTtyb95rmWo8yE7tWWP+MoTPG7c4S1SQlrinJdz/suDrIXq+A +HoX5TuwzskTyfmDcfCyWLR4JukuX7/MnjF/B2oEF2Y2xvMC5fr5xgPU58yIx +Yo39udc1aZNxgPljvnMQMYF1Nve5ke9txyrX3RyfbKzl+H1J2ZS1Fe1/0j4w +PKe1w9CPLdb9efeBppkjyXvC/MwVzBn9znXj7SeUvdK1PWv5KtfztMcJ1zYc +G+dxysG1tAtjknLShxn/xIGOoFzR6DtcQw3ym4zeEqwBRzl3U6+jXBMOcH3I +8XLwHsgqzxE3LhpPD5crvn+a1xryUwbmE9abzDXkY+1MnVc6BifFykfUEfUz +rqC6cHxBtSrnuJaxTp+hX70dy5ePOUf0u34e7HcYbfR50H6MXcY2Y/xo0J0b +Hdfcm+PMhaMdUw/HqqGZb8bFwrhtxuHFGJ8N3q+CvonP1NO5WHu+hn4/ZG/L +qhagTrf6LXcjb1sPPPMB3/dL8B4ok98fiqXjLvT/w/hw6DrgTk+A3phRvXsu +p/dKVax8Rdyh/7AmZvz+3fjdZV0xd3W6Nr6Qk54ewtqvsOftGcUc/YLjxI1U +XrV7Dd9xBdU3tejHgr85o7x+NCf8HQOeFObr/A58w29bYgHvQ9kZy5uC+o1B +OZh+cCDIr2h32nllufITY7va9XMN+kIQXu0KwghiRVu4lT+IUWsh15qMsJm1 +C31uH3hGFyTfmILeD8S0T1yT7zbW3ee3Et9MxOF217FHXGtNyOt+rJ+IsROM +J8zXn+fl8/T96lh6o/44T19c4FzAeGAsMA4K9ufRzmHUJeN7kPmJ2xuN3cS/ +Ta67iDOMbe5Bva537TExlu1oW/ok/ZHnMQ9e8tuWtRHx7xP0lbHfuznZhHtx +ny+Z11nDBOmx3nnu3/ieSf8N8nv6/0tBcUbMpczEv/HGwHqPF7t/yvQQ64Ry +MF6/sL+dx14zGJP2h4Jxg7mPtRBzCuu4lozi7b+w59dZvfGop3etq0WWn/do +CMLCY0G4WGVc5VttVuLWm2y265BCQXhCXKFe11q3lIV3ojx88zXbD36bEW4y +vodlFKvUI+P4ela+/6BtRgwnds9wjVeRUewx7mjbd2xfYi3f6Un72ETrapBr +GNJ1sN9I1g241z+CbM0cyHVcz2/WOhPsn11++/MfAGUZaXmII+v8dub7cqZr +1+dsC9qEvtNl3BjpNx318IL9gX7BPBBnlAv4buH7ZU9QrUzcaQ/SWa5MWMWa +cWZGmDoHfWuZ6kfG15Ay6fbhguiH0FcVtLYS/c6cfP8u7P0k9nk96xo5Vr3y +MmUuVW5mXv5DqfybduQ7ZnJGtQNrkvOuS4bE8gm+9VnXP55RzE0DvSor+/ww +1rk8/xux/IbvaeJdnTFhrPNUwTn9j6Wq5e6G3Newx10FYUyn38fDY+XBduw5 +Ja8x1vicH2td0x7Ec9pxcF571sbS9TXnlC7ni07XUMeM+UMh+9MZvalYK7Pm +Wxb03+iI8y9rn+OmuRffsPSHLVi3Iiu/5BuGdeFSrN3q/4r8v8g30knXnDWQ +7QLGN8WqT9a7TmK9RhtQ/zPsZ7zLoFg0/23w/UN/bQY9NKf66Z6c/vN1+y3D +/xKXXBuznqKNad8Xs8IC4sCAWDHGfx78f0q82ZJTTUXZiAV8T/QYc26PlTuY +W/gvhli2Het+j7vXZRX/9PGPnCP45mJd3W3MaHX9TCz52DnoZ1i3PSNMol1p +3xGxciH5iWPt4Hk8q/ft/wGF9gZK + "]], + PolygonBox[CompressedData[" +1:eJwtlmlslFUUhu+00+nMN/N9naFQlbi0IIstomACxVArdGogoa0QodBEiy2C +EGtVoJiitdhiBFmCaEiw1URMNMYfbMalKPuP2toSTaAECR2XYEJUIFEIxOjz +5vDjZs57z3LPveec95uihuYFz2c553awwqxXks4NRpw7le1cZeDcZd+5FuQ5 +rBPIf7HWImeizl1IOHc+5txrcee6wDHWUXyOh5xrJOgx5JcDk0+wV4TvEuJP +Jn4veBz4gOdcDev9qMUoQXbE3YwcYNeF/wMk9kmOcyl881PO3SDeGvQjkQ+j +P0asBvaOIFdgcwXbNvYOK19yKyLmg8SowqcQ+Q/2hnNtTzEVe4A7zcV+NjEG +kVewLuqu4KXEPkq8u8Fp1mXkd9jbga6F9XSW5XAPuvG+3W0le63oJoF/AK8G +t4M/4LwC7rWcveGE5ahcPyOHUejGcaePsP2XXCcgd5JvLfkuA+fqjcBPgTch +17CKUlaLKPkWIk8l3hDxWonRwXmPgC+C3wJvBZeCh8Ed4DfBNfg0xuxMnf06 +OfwdsRhTVJ88ziO3dvB+5Dmc30beGd5vJ+sUNvmcHUE/iFzr27uqZt2qDfHK +IrfeMGk1U+32EKdF+bJyOb8H/Wjkh1lJ8HnwNOTd2PWC9+FTzVoXWK3VY4Wc +tY23+NCzmPtZl9hrRHed82eT7y/Yrwtbz/yM3Je0PlCOyrUW34UJ8z3IfVo5 +syluNv3Yzkdfjb4b/Cn6J/H5PMdynIHtTGxWEftZ4pUhnwlMDpPDaeQm1mL0 +X4EL8K0kp5thy1G5bsDnasR6pAT8GGdPZH3PWfdy5m/sPZNtNarmvO+wn8f+ +fGyawJX81pNjH/Zj2f8PXOzZ7KjH/8RvQdx6ZQyrE/+bEeuJMmKvIr9a8vsS +PBK8HtuZrCi2u1hV3P1xz+6umr+BfyjXZqAC+xfwX4L/1+DbwR3or0esx6aD +l3rGEeIG3elR7n8tbDPahX4S9v3I9cR4EbyCeIuQv8B/BLgE3AnOgIuRh7A/ +BK7jjLPIFcS7EbY3TSM38yZzPevNEcj9gfW67qy7zwps1jXjmvW+wGZFOSv3 ++znzx5DVdAO67ezVEGuZOAxcjv73kOW0LbBZfM+z3tRMVqK/gn4L+rfRr/Ws +Bnr7a8Q56RuX/sOd9yCfDIwr1APqhXrifYzPxqhx4CJsGrKt5r3of6Ueddk2 +M1PUD4Fxi2ZWszsQ2KyHbtVqL2+SHbIZ3oc8w7e3XI/NJmwfCixX3WmqMPqz +yGvY6wTvJMZmYi0ELwe/Cs4J2TeiDXl8yrhKOSrXWXk2e6qxal3jG7edA0/Q ++cR4N8veqBT5QNK4RZx4MGlcNy1ubyXOGw6MWzTDGeRD+h5E7Buib8nYwO6i +nMcg3+ZbL2rmmsHFnHkB30vkUK5vW8JmM8PeZHTpwL51eqMBdKvBdfj2gEcT +65vAuF8c/634lPsWxKwGqoVPrfrjVh+9wSjfZl0z9Rz2+b7Nlnp6JfgO32Jr +Zl5S/+Gb8MxXHCcOF5frjPKU9bB6WT2f0vcuad8OceoR5OOBfVvVo+rVqqTd +TZw8T+9Jjos94zZ9Y8Wp4tY84pcid5PP1RybIc1SXdw4RVyiHuyJGSeJi8Qx +ekO9pWZ2C77niP9EzDhKXCUOF5drL408PWVn6T+D/jukfJtt9ZR6S1yz0bNv +mzhHHCAuUI3r0G/17Vus/yD6L6KZ0eyopiXk247/Xs+4Shw9FFiv6k5p/O8K +rJc103ci34fPT2HjcHG5elK9qb2JyGeSxi3q8dPI/wM2rTIt + "]]}]}, { + EdgeForm[], + GrayLevel[0.5884663153232721], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmFuMldUZhv89+5/Zs//Z+997I9DKwUMN0oIHIrSVdgDRmfGmWjlMo6Vg +A00AgdYbK1agUqtWCQdLwPZCoFG4QQGhTWhaYEBilVYFiqATMDgmKokwSntn +LH2fvt+EXqystde/Dt/h/d7vW/vauT+b/tOmJEmOF5KkqL5WSpK6WrMm36sn +yX2tSfKu+iVFj/dpvtySJC+rLdP66anHL+p7q/qX1B7VfJ/OWKv1t+v3Re35 +XG2M7hinudlqb+j34EaSrNT4CvUrdMdRrV2u/kc6a5Lmr9aaH+j8nZrfprlM +/Q7W6PyZqcdbNd/W4jUrNL+9yfdx1w59W635Vo3nSZ65Jf++TW2KWlnzHzcn +yWSNN2nPsKLlzTTfIzk6JMOBumVl/Lz6CeUk2dPq/aPUzyj5POx1W5yJ3htC +9zbJuabFstyT2j4vaHxcbbTGRe1bqPm1sRY5Wf9U4jPWxTnMrY3561u8t0l7 +lzTZLtjkCo37NT4iGc6of1d7uwo+45TaHZr7lX6fV/+LxP0FtZLmktQ+xHdt +Ze9dqfk29aO05hsaz9L8J/p9Um2Oxp+pP6H2YGrfodMf6/bdnrrluBB33lS2 +3Jx1Z8lj5Gf/O4GrcVpzodXfriv7ni80v6jJ2EK2xYE/sAdw28Lv2wIHbxaM +CWzyj5D5Y53zS/SWrz9SW5Jarv7QfVbRerGGOz+Je7EHd/29YJmQDX+he3+M +XwjcLyzYDv2hy/Ci8YS/2PdZrCcu8CffujQ3NbDD3B2BvRuKxnCHxgdqtmNW +8xnczTn9McZ+1+j37KLtjKzYC1uh96zyZZ0Yo2NPwTH2CL6ueW9f1dhsDXxe +KroHJ/huXPgvazUmwMMg3XN/s88DL91l4+13ubH4LZ39Ss1rdtVskxFFxyY9 +viBe6flNDLar/1S/x8T387GmL/U847xkniLWmD8fPq3HfKo1k4W/Lep/U3V8 +EeecP6nucbv69yRzRTLvbrJON5eNzwkNzz9X9ZmN4MPVcJHk2pD4vo/izNMt +jjd039VsfQcF51Vare9XdMZQtc2ae1xn3F20f5nj25Em8x1cM79gjuwInrw3 +9T78OrloO3LmqtRjMDa37jX3qO/Uvu+n5iswsDWwzZ1gnXEHcRgxDu74zRhe +g986C+aMjsBlV8k64XdkBXNgHv7rKnvfuJAXPcAXPRjrahgbnQ3HHNgg7vDx +4/9nhyNxJhgcUvIYnRgvin5ozD+h3+tl53Ma/1C63peaG/5d8/y/apZrQsgG +F/Ad3ijLRn/Qmlb1q5s8vlgwHt4PP+LT9yN3rAw+JTa36P5utYe0786aZe5S +f5Pah5Lh7Yq/zyx57+jgxaaIB3S/Kzc2u2MNnAWPw+GTiuYI+GGDzjug/kDi +ezfHueSCeZHLwD4xMBAjyIBdsct+9a8kPmN/nPNU1TYFL91a25T6XmIAmZAH +3IAfYn9/7ry1j77q2BqqvbtCHuwwM8bEBfsuBW/AJ+yFi+inxbgnd91wIPe+ +LXFOd4w5b4a+F1L7i31J7GXfjJg/lLsOOJi7Bpke8+h6ZWrdsdXqyL/YPg3s +UQtgQ2IHG5A/sMNR2XNWan9QX2RRY3AGe8DA6/p+qmTs3Bv5D84HQ4fCzt+u +2aa3142B6yPXwx87gkOoWdqitnm16L1van6P+t3wb+K4I1+Cn1ERh8Tgn/V9 +b/gXrMwNXcil1GrIc6zomGUvMoJDZFgDV6a2eS24DS4F77sDA+tT38H561LL +hDzIPjN83VewDMw/l1oH5H9L416t2djk+7tC/k0l67Uhahj0GhX1GDxCnE6R +/MeandsXFMz15Yh3MI08y+CC1PevDrtj84fr5oEDFcc6Y/IhdqaOpE6YVjef +vibM9LTJZplzWik1j7BvZ8n4xj5r6977am67LS5djt3FsaYl9ZlwVK3m7+Sf +zXEOesPT8DX54tnU8qPH11P7aaCWA3tw1dK6xz0V54PzUavgI3gKP/W2egxf +gc/TwVdnYgxWiYty1OfEE1gmRvoDt8XwCzr3FoyLnaHX6KprD2oQfLoxbE0O +WZq6RqImJb+CPeroJaHjB7nXnM0dL6vDf58GX8FRf1E7UbJv4fUhkR83h83A +CTZbGGeujTqYOplYuTq13w/XncvmNYyvTaFLQ7b7Zha5Lfe+G6XTqtz2f0b9 +02qDNZ6o+d/mPrNT4ydz2+KJ3BhnDThfk5tbplRtJ9ZwFw1/soY4w6/4FH7q +Do7ljHVxzrnALvJjA3IWdugLrINzaqLt8ZYBa2sGYjZ1LYJ9/lQ0nrgbTiKX +DcQE/iIesd+q8BGcNjPkQdcNYUMwviNiBP3WB39SB2RR76VRe4HDZ+vG/TLZ +Y1XdNdLvc9u/FrKNyc0hY3Pj9nTkVuqLLGqMN3LjHLzDhcQ9+fC1ivFxo74v +anZsMP96xXj6as3czDzxsq0SvKb5Ebl5dmTuepJaenvwCbGE/P3xdoEn7x6o +idT+Kbw8U3HNvE+1w080HlY258F9xNfXcvPhdeoPV+yDURp/Tzp8KVnvUv+0 +5o9lvqMUvIKcRyqOpRE111DU7NQz8HAetetW8VJv5ncD51EjES+8C8YWXVee +1/e9WjeEd5jaqorfTPM193nZb1O4l9oc36HTicx67VA/seJ34V6N/1p2jYiu +/Zn1hXPxD/XbWxVzVId07MyN72XhfzgPji1rzaXMNfTIhrnpKvVnK64LN2v9 +LblrkfHqb82dLybmrmknxXupn/dKm/NYh877TsW5AW6gLuS+ztAJ2eZGrQTX +HYza91Dd75EzUdP21IyhgzXH1PB4ayzQPbdkfoPBkYtDF2xK3Y6dyUnchz0+ +0PphWr9c+3/c7BoX++J/4q838j+xR9ylWl+vuAYlx4Nf4u6Bht9+r9ZdWyNj +Fm/l8/Fentpy+X+FFt3ZqXMeazUX9UUeJH92RQ7tj7c8fL0g5MU+p6P+4Xzi +aYBj3q4a90fVX5R8gyqu95fFdzhqnua+zPz+ww+dmX3RrvGtFdfXD0jHlzL/ +57Er8gj8y3uSd+VI6TghMxfDw/97hxadO8hFxMRAzXYu8jhYHBsxSd7CJ9R+ +74D3zPXN7pp9sKdmvH+3YswTS9iP+pP7j8TvxVG3k5sHZz6Lc/6Wu06gdjhZ +dz13qm7OaI+3yfyoiTnz17n5bbz0u6bqnPqw5q6tuo5cmvvdvDBkIN+1B4/P +qTrmX9Sa/2S2L7YdG7HNXeg8NsaPpMYatkKeGyL2t+Z+d/D+ONvm+Cf2j2fm +HTinPTijI2KlJ/Bwqs14eizyJXlzTsNvtfmxBg7vDQwsz81fK9SPzxwzYJN3 +3vOxZ35gjr3wysuZuQU+WxB825dbnw/JsVXX8z/X+GTumuGU+quqfjs8pPEh +eEznjCw7JuaHPdfF/1j8XzK8bK7CXk9mrufIK4vLfkPBKY2GdR3UcNxPDp4p +aX1fm/9/fDQ3l5HT8A0+ur9qDuD+ScFPk+PdPTwzF+Cb2RHLxPSVmnuw4vun +xv+DxDB4Hh5ykt+ob+ECOHVX/FcAPx2NPMc69MLXG6v+P258w/JMChkO587Z +1KfIgf+/iLcZOWSa9t1c910HJdN/Afqyp6Q= + "]], + PolygonBox[CompressedData[" +1:eJwtlltsVVUQhhftgZ6zzzn77IMgQikFkajITYoBIkjUtr6IcjUgAuoLQUSI +CEIEIlFBIVyEIPpgkGgbHwQRvGAAaQtBRORuC00UKDFEE0VAYwzx8v35eZjs +f9ZlZs2aWf/sXk/PGfdcSQihHkkhd8UhfFkawgaUv8DnkYXgKYxdyIewD30c ++gfoCbg3shO8jrE/wecyITRlQ6jgm0uHcCUKoRF9ZKnHtoB3MVbH3CXkC2y+ +wtw/7UN4OAmhYzGElxmvyYUwBzyDsb0ccDJjZ4XxMQZf77OnAP64EEJDuxCm +s/8TcIXGmFvNmmvgGmxMxO8Z9peDzyS2NZs1G/E9Bn0z9iexfix4e8G2tiNd +0VuwMZu5+zqEcBJ8MPbaDshL4P+IJc1Z+zA/ED8/IpmccRY/3fF5lm8rUgH+ +BZ+17XymWvRb8HcIWz8z1gW8FJtl6Eekg2dyX1X4uB/7tdiYx/6xKd/BV8w/ +iNwBPkk8NeD5zE9En4A0KTfYfLK970h39RQxvUu81dhqADfGXlvH/iL4BfaP +TznHDeh9kM+Ya2X/beDu2DjK3FX0cvA0YngIW7M45zxwFZIltmXMN2BrLndx +BL2tLIRnM45JsU3BxjfgZvZ1ipyP77FTzdiJUsek2EZho6tiZexu9JVIZ/Q3 +kQ+xvYQYjnM3c9GPo49jfXviK+JvFXM12B7BeC2+xzO2CH/bGFuHr41pn1Fn +VQwHWL84dm6/ZexmcBWyT7XC2N/g4ch+9E3o18EJd7AG/B4+C+B67J/E/mns +/Y60oZejL2HPsrTPqLNOAjfjb1/iXExFfgCvRBLOmcLeGM52Dh/XS/wGL4CH +sT+FzSEZx7Q4ce51B0vB/VmzG72N8/cDd2T9EPxXM9+Cj52sGcn3Cdb8lPOb +1tt+BDmWd8yKfTL+vgbfVPS5df6tzC9AtjH3GHKA+RHYu0R9zUQ/FfvN6O0o +h0ex36QcpF1zqj3lULnUnQ6OXUOqpS3syTA/Aaks8Rk/BacTz7VwJ9uxdyd7 +dpWao/qCH2B+B+tz3MUQzjqd8/VEP4zUMf9R5Jwr12vT5jRxm2pqTeycKreV +yPr4BkekXcNvYWs19ruUmSNWKHbOcLrMd3wQPDoxd/VF71fwHegussgy8OnI +nCeua0YS9qxF35l2DvcnfteqWdXuprxjOXuDO7qx/zzre2ecg/55294GLsd+ +S+JaEkeKK/VG9VYT1iyPvUZrxYnd9Xaw15I1x+rN9WJsR6k5/FZwRAyH2T8V +PQuuwl8h5TVaK87UPu0vcr4VkTlPXBelnSPlSpx2CHyC+csZv229iVWMnYp8 +F4ppM2celHbOlXv1iq5Zc4V6xlB8NpX6zQ0DvxY7Nr25+pw5WdysGhypWmCs +tcwcdRi8K+uepF7Ume9WfF/N+C2IA4YTT6eUa0q1pdwsjxyLciSOEdeIAw+A +exTN5eJwcfkA8Q++Z4ljua+F2ChJmYPFxfeypzoy9/Rh3x7s78V/N6QcWRC7 +8YrTxe3iAHGB7uQ8e19kvl3KnCxu1pvW2xYHrlJ/y7t2m27c1Xz1JPCjjD3P +3Gi94RLn9Hb0RuWEs47C/ueJ12it3mijalmxs2YQZxuAHGL/4yn3pCWxOUB1 +uAi9Db224LemN6K3sqjonqWanlo0x4hr1IN2sHYw9mdkfRfqaftjc0k9azqK +a3PmHvmU74ace4XuWHetXvJM1m9ZPeWd2FwvzhR3qoepl+nOeub9j6J/Fd1x +Jfpl/O9m/5US56Aica2LM6YxfzF2bOJcca96snrzBvz/UfA/jv51VDNvxP7H +0L+G3sir4AXEXBaZMzuBGwuuje+wkQPfE7lXqt+Ik/UPo38Z5awH/vdkXCOq +Df0jvZ53bxHHDWX/Me7jou4e6V9wLL9Grm3FJA4SF2nNAPC1gs8uzhJ3tUbu +UepNv6Wd67qssXKuM+qsqpGBiX3Il/6BmmPnSLlSjffSv0jevUo19jZzx/Pu +Jfqn07+d/o3+jVxL+kf6HxK3V+s= + "]]}]}, { + EdgeForm[], + GrayLevel[0.6789995946037756], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmG2QlWUZx5+N5Zw9Z8/Lcz6UzQgGJrCsC32woNLpdRS/NKNgjVOTNBEw +A6YJgjiGsiALYn2xRlk+OsAGqDW7C03AyGKyWqM1VlOm1ox9SRGqGV9gzWb6 +//b/b+jDM9d9rue6r/u6/9frc+Z++87ld3yoKIptXUUxQ/RYd1H8vFIUR0Xn +inGlnkVdpvx+TDK7mkXxgd7/sCyKeeLND3+xfj8sOtEoivfaRTGm9TXivSDZ +x2cWxW/1+7De7RWd2SmKSfF/LP5p/T6p9RtanxD9bpf13i766dL7mqV1ofMt +0V21ohjSc7CnKF7XBVbL5lG9e1C8zXpGxL9Tz0bx39H7ObG/VzoXiH+3+C2t +F4r2VWwTMvNyl0+Vtuui7nFEvJqePYUp8qz7qkWxQeu3pf9q2f2k7F8o+qz2 +fllyE8Lpk7rnv8T/knjnu70e0LkV8bdp70bxjwiTYen7s85qt41FKTou2pDM +Q3p3i2iX7rVYe28uzb8Jqt+ztN4vmROix3nYJ/07tL5bMoPxJ2dw5gN66rKv +Ivtna32gMDZzcvdF4g9U/Xt5xTKc0xtMwGaw6ns3u/z+iuhB56qKbdqec8Ds +geBcC8Zz4t9rdafP1C7heFfFOv+m9ZqKfdsqHT910a/2GIsx8V/sdmz9Rufe +1LQP9pQ+e1X2fidrbFtR8V4wfK7b8Tch/lTbcfhu2/GyITGzQ3fZruee8O6K +jS81jdMh+W1x1X7CR+QE63Vdfsa6HW/kFPiTG8Rbf8UxTqzjq0cL5xxyP9D6 +VdmxT/SJhn0Ijvju/pnWsy/5ciJ7x2fYP8TAfOFzsWoMl8vOdZL5Zel9xAE2 +4Ittifm+xANrzhnMWVsqvje5X4//8N0++WpYzyY9W6v2ETkJXZv1CHmpZ2fN +cYUecNicfZvAUnbeG/3gvCXYLqjaTzeKf3yGfTgabK+vGF/8iV+JEXRsiR5i +dUX8S0wuz5r398an2Lyy6nrB3fEHcXhj9k/HufAf1Tn1tu3BZuKNmrI59h8s +rftP8tEjeoZ69U78X9SL4lTq0hOlcaXmvd6wz58Sb7XWxyRfr7kG7a3aj7u1 +t1/vmto7INqQzOckM1/rutbXaX1cMjt7bcuj8u8p2XV5x/UGffyeL5n3eu37 +Ka0vaN1fMwYbeoxDtWO/jkvHbK0nxJslWuvY/9Skf5bOm/2iAx3Xn0dyZk3r +p0XXSu6tun9fpfXHG87pb3R81hHJn9X7cdnQU7P/xpIjZ8T7cK9tp5fg4xva +jp2R4Aw2w1X7Bbqval/tCx/8PlE6dxpt94SRxB55sTd7wfWhurEFmwV148Me +9p4WvazlWn+/6FMNx93b4i+V/BbJT0nXryKD7M8arh89nF86d0+Ld6B0Pfxa +aTu4DzZ/RHsOa+/3Raf07nuyZbVweqXt3H5ZdIPO+nzddWgNfVTrPu1f23E/ +u6h9M+rGDtyGclf6GfbR28Ck3ePYOZ66RV2gJnyh7jPQ3xJvYc09i5wmt4lh +MOLd1V2O46HoR/d1WWMTMUXNpTZSwzkHvdemnm+Uze9rfVsnuqOfs7g7OYUf +dwYfeMORQfbBrH9aumbeKnqhblw4/+ma44/Ye63pOeRk03HJ/emzm1KvOGtz +7ghviexer/e76X3S0dPrO7wperFuXMj9g4nDvycXyImPSeY+7dlS8xxCLiJD +3R3Xepn01iRzpWQ+Gx8c7XGtx9/c81ui50vXsP2yeWX8i5/Z3wz+9DMwHlbM +3CO7Ntd9DrqmEv/rZrpeHdL9n0uMEWvz02upO/Rr7tubmQcedQ/bd9Uu+XlX +7juS+Yo1s8Dh9GvO4Cxw60/9pMZxv6nY9Yem58XjTffPHZkVhpO7/5tZqO30 +rHfTfy+0Xb/BfSz9f3XkLmu7Z3+07XreF53UeWaOWek/a9IXiPVl8e/szCOc +S53+Yt1xha+a8Rd2ghH43DHDNY44ArNm9HA38KZW00PoJfQ77rU3vuAeK6uX +euLW9JrbS9v3j9JzDPNMQ/TytueYWW333x2Zma5quX7NE/136VpKTR3MPEAv +npW6/ZhwPsp9Kq5N1Nc5mXVH0+fw3VjFv/HlLemV4LwheNIXyEVykhw/2zQW +V3Qcx9QQchzdxAQ6z5buxetFv97xfPZS6dpHDRwpPSMxU2IXMzF165qO38/+ +vx69I7PWQMu9f1HLuTrdgzOPbI+PmJuZYXo61r0rM2tfZgnuQt4xE1MHjlU8 +Y1GjmdP7u1336Jm19E1im1gg7/qCFXM+eI0GQ3z5TMW9YSIxMpB5Ev5kZtIz +Fc/K3HlRZulziQFiYTIy9I+XU/9fSyxMVqyD+jJdN/R7KHdkzmyHN5AZcnru +j77J6Lw1NfPJ0t9V5zMvLhD+r8iWr7SM59x8361PjSDWOWcoeK7PLNub99uT +d+BAnHOP9YmBN0p/b0zHcMdzGrlJ3TwYP5L/A9EPrsx0jcx1fBtNBE/wHgv+ +zDf45/qObVsUHKCLs6YmLkuuomtx4o25F98zMw8mR5iByZPx5BH0aPjMKOCL +X5dq738yq5AP+5LjD5eeHZivp+f2is+hH8KnXp9MP/pr03WQevg70b0tx97N +Wv+o6Xwhb/iW4Jvi1aYxIO+w4YaO1+QieFNfpr9b2raXb25mOGpGr2T/2LA/ +f9+0TcQV89w7qZ/U0VrpOKP2EAv0D2K/L/2cvJieDbqdC9+U3inmx4775tJg +cl/L2E+KHmiZv1Lnnuu2XvY+37IPTzWM5QfZCwbnop+4JD7xO2f2h78qtZz6 +P5R6SF1E96HoX5E5n7iijyL/Jv9DpIZQS24T/5juOFv8vzTd+5jHDzf9HfJ+ +6W9Ico7/GsihM8nBycyBzIMHG679O1uOmcHEz68b3j8q+pOGe9oeyTyf+ZA5 +8Zn0Mnz3bGSQPRMetYJcWxJ8kMdfnI3tS9Jz6TPggB3gwh3RtSy9GZmtwRzs +qQ0ngi33ejHfvPSfF3Lu0rbx3y08/gu2g0bO + "]], + PolygonBox[CompressedData[" +1:eJwllVtsVVUQhhf0wjl773P23g8aHgTl1kKh+iCx8ZJ6C/BkQo0+SgnamDSh +gCiXiMRExXJ5oNUg+EhoGwuFBEoTiaFtQgqaqKkaCVCM8kKBYkwgtMdL4vfn +f1jZ/6yZ+WfWWjOzF2zY9GrH7BBCB6ua9X4SQlccwtlCCDuKITyIQqiwGsBL +WY+kIXyP4Q/YfoftJ+UQDoEHq0LYA/4dm1v4L+NbhuMe3zrsnuNbj/w8XIuR +n0XeWhvCk3kIL+M7TBKHSiGMwj8E/344R8DbsD8I3yC+M3PIKSM3/I7j8y3x +Mmy+qXYOvfDOh68D3Qh888DbsT+DfT97F7Ffjs2jsc92jv1hfYnRB38vawn6 +ryPjd9H/gX4Fe818U/bO4nsbfQH5PDGS2Jziks0rxLhKrClyeorcotic4tId +HFEO6Np1RnLbh3yM3M/hsx/cwh00oBuoCeFh9K3ITeJiHUM/DV9dZH+9ySTy +dOS3WcbeEPJ5cJEVse5Ezlm5am9V7rvWHa0GDxCjgdwOk8MJ8FxyvgjPCPIl +vS++i1kfF31H3eQzC/waPm3Yr4Pjb+QxbN4EX8bn8Vm2WYH8GHIR3TPIW/BZ +A94e+S3rCj6TzjbEedfB3Y7PDDYV7N8QNzG2YNcI569w9SHPr3WMXvAk6y3k +HvK9Cb7FujHbe7fB8zJzd6K/Af8XJdfGX+ytzL0n3WlyiDn7VmK/ELk2NxE3 +wf8otqPYxOA7qifw2+inwMP4tNf4zevh+o1VB95IftfBXdjs4ax71Vuc9Zpy +CLaZAE/j/3mNOR+Al5TdS6qJC5x3lHUguCeegCtKnatiKnZN7rf7kHxqwWux +ScCrWBvAu8vulX3YfADuJOZd/Cfxb0bfWHbtnUY/RqyRxL2nHlOviUNc/+Lz +Kb5XiHkE/W6dGfxS5rsUZxPycOJY6jn13ljZZ1dOLcj3UsdSjd0HFzLXmmZK +ERxzhoh8PsI+yd1D6iX1xGH1Sua3Vg30gE9mvmvV8Cnwenw2q3d5x/fAJfZ+ +DH7DcuaeUm+pB9dynl1lzwa9kd5qnPU6/meokS70hdx3q5zm5J5FndRHqeCZ +tDfyzNOs095X+NzH9x3wP3At4j4WsJ4ueuYVYveEekF7M5nrTD7yVUzF1hkq +6GYi97h6WzP1eMncO/HfnHkJq0f60Q3GnlmaVZpR6lH1qs70Gfo/M9eueuQu +eEfkGa3ZXOEOduXuAeXUCv4Jn4VVrtlx8EPo2hLPFs3tFyPftfLdpv7mvf6r +9szq4W4nUtfKl/hf0zzM/baqoaJ6PXVvqQcq4J9L7nXF/KXk2dOdmFszSDWr +2tXMT1P/q5pi565/1urUtaoclMvCxDNHs0Yz6H/1We9J + "]], + + PolygonBox[{{4291, 1130, 2599, 3064, 4458}, {4451, 3014, + 2563, 835, 4292}}]}]}, { + EdgeForm[], + GrayLevel[0.7695328738842788], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNV1tsVFUUPTPT6dw7M7dzLwg1Maadyoc1JoCgomhCAhQoT0VNABPBgAKJ +5RGNkfKQUBqCsT6g1S8IlIdWWiKg/CofKhRU0Gh00EofFAv6oUH7UHStrN3A +x805d9999tmPtdc5N//smsdr4s65qphzCYwn8DLkOTcK45LQuWVFzn1V4tw7 +eP8TOl9D5wjmfZifwDyP78uLJJ+dc+4cvu0NnOvyndueda4M40bYG0o6l8UG +R2FzEt7bMA7Axj8p50ZgLOBpx9rDsJPBt2bqY/wLNhsx/xtjBXRHQ2csdIsx +1mHM4XkV3zfHZWME1gxi3AOf9+IphXwR/JkZOfcUfJmBcW6x5OOgV1OkGE9h +34Inndkx+boJOmswv5zGXlnlpQw+DOKJIF8RKl9vw34PbF7Gcwh2LmH8xebb +Y3rnnP5TTvvvY00t9uiHjQWwO9lTbCsw9mDswpPLODce+06FT3czh7Zvh9ln +Hjh2mP06+8acdMPnbVg74KkG9J2+0vYET7lfG5PfjLHO5rRzHr7Nh28XAtm/ +ZD7/hPcnIf85kC+zYvJnADGshvwtyP/A04Y93sD4I2q2BbX5Iadccs4adXrC +QB6yezDOhn9zsMe3WLMAdr4JlI/5kOexT01MuozrIr49AZ0CxvIiYZK1q4IP +VZCfgryQEyYuYhwKlWfmm3s0wmZ1TGOTLwzwfTfmIcbb4vJhlskaTWccbKWI +PY4pfaM8A92tCeWwkNBa2vAj4T6NsQQ+HIA/Qag+4px+L0kJf/R/rNlfGGjP +3ebnjoRyzhx8YTVkb1ZDfx3k16A/CPlJ69luPC8nFAt7kTrsK/ZTg/Xwtphy +SJuUNSXVz6Xwbzrknwbqr2kJ4SKFGGph38N4Ni4d9in9rYgLR6fxfRp8LkdM +AznZ7M9JNtXknxk2hjFCHiGH0HfyADFZbzHQ/xas229r++Dbc9D7NVRvEMfk +jcX4tiglWx5GPyWbfWaL8wnwo4/cEgh/5Ir3IO9MqhasycPol1L0y7xi2bhq +a2946lvin7GOSSlexrTLk2/U5RryDvPNHDHnfKdPxEmzYZn6xDXzlTc+48he +Jq488599V2FyxpEyOfPWZ7kjX7E3yTHs8+txYY8cssp4pJBUPmnju6wwOhiq +Py6klAtyM3uTPcr4H/PEj5UYzxs/E9+bjJ93BcIh+Y/9y74iVrnX895NDLJe +rFU34r0de7d7skVd1vdKoNzNAE9fC7X2aijuIUbZgx97ionzjqRwNYxjjuwd +9grzQ5vkgHNW34OhuO5AqLqRn1k75maC5Yf9xz5sjQtLnNMmdXuND4nNSvM9 +ZXhnHnqN89fFdCaQo8mHtEssU5/xtRmWhvc4YvUjbolT9jBxMzen/RebP+Q8 +8iR78Yync4u5brC19JN4SRnGFtlaysnF5OTzoXBK/3h2Ma81xtusLevHeryJ ++tyZEVd2Ip8v4D3vK9Y1Fi9j7bEc3gHd9Vnt0eUpF8wDbbyYlR3yCLlieqi1 +rME6w3m99Tj75KzhihxDLiWnHsfex/DswxP5Wsv+o8/VltuZOa2dlZNeh52J +5EvmjnF+6Gvk2dFlnDHMje2GE2K1y/zhnlxD/fqEsEjs1UL2uq+zdHmkM/tc +qLjZf8RJi3FCmZ2N2yzPxGq53ZF45rCOrNfOhHiYeuSeyWn1H+OoM5tZ7LUJ +NjMYt2DtZl914Z2l3M6OKK16sBa0Pc/uN01Z3cPoM3uPcn5vsnONWKKNvPnG +3HMv3n3WhuKTD1DD3VlhgvtOs/rQv3fxLYDsfvh2CPORmD+K+ZehOGRVpDPp +pN03iM8Guzs+BH83ptVbVYHi4X2T9wr2PPM3CTqvpIVd4r/demC9r3f6v6tE +/s8IxIut1lsHk5IzvpWeakxemujpHB11Cz5YI3LwaeNzysrsrjXRdAfsflRn +/VBq/M463oU4u6E3JtKdqystPiY22BvERxti6YS831POCt7NuyHnPF968P1o +Rud5nd0tuBfrkrU5z4QbdlfknbQ3rbsdMd9pd6qzkLWnlaPDlpfPMS73tZZ7 +7QnUO+wh2h4y/mcc9Jl9ynt3vdWLNek3LqaN/8yHdrt3s4/YpyN8rSVONniK +oTKS/muBbBbMbkOgek1B3Ysj6ScxPoPHwf+Nkfo+MpsjjQsq7D7TYWfBSuRh +dEb3SNqizfsQ1yOR/DmIffbi+5m0atwSCNvE+E7Ly4JINSPG+a3W+obn3NJA +e46HzSnQK4X8o0B54ny7nY0F48nJt5ztc+yfiP9GvMscN05bBl8+8cVn+4zr +csY/xw1/+02XnMbY1lvP0nazyelrwe6ch0Lh9XCotc12d6rFXhvS6i1yyz7b +i3zGOFcbz+00LiKGiu2+nTfOuW734nrjQ9pvMT+bYHthRnGT/1ps3xrI/vXF +BU+HOmu3Bopvv60l/+2wu6hv9x/21UvIcwx2l0ban9zHM+W3UP38e6g+PWZ2 +ms0mc8L7BM/dqhLtx30fsLttys6a6kD78H/x3kic8D1wdATvD2Leav++5BFy +yDBvMv+9oe5YV0yXWGe+mIPGtPLwP5U8/CA= + "]], + PolygonBox[CompressedData[" +1:eJwtlUlsVXUUxv/l2b777nv3vXud6o5UjQHiQqhopZiYCGVSqVoJoolgigwq +BiRhKIImYgxGJVSIK7qwhQgWXFRMjAtXikA1ReP0qsZSBotDjEFo6/T78rE4 +yXfumc//nHMbHn/mgTUTQggboSugr0shHI1CuBXal4bQD7WCr0VpcRLCQegC +eGshhEeyEHbHIazBZiF8M3qL0B+tCaER3JNa1lUM4dPIOrXYbAbPyoVwAFkz +fMb3q6B9+N6Mv37wEXTG8yFcj/wUeBi6ATy1wjfi56FbwJvwcQKbY8jXYXeY +WLug9+HHIsdQrNvB75DPYqgO2yb4w+Dj2A5jdzyyjzZs98SuRXV3p65lFfQ7 +eD1Uwt9z8CXyKcG/VRvCn9Qcg09Sw0LkL0EfgG/MnPta5H/A/wA9hOxl6EPw +2+S3I2ebAfhBanoef1X0vwEP4HM1sg5yXJK5N4fI8VLkHv2GfKX6Q01Pga/D +3wzyv6/ONX2Lj234G4cOItuAbRM0Rm871RO+ncxfjonug4l7O5uY9alzUC7y +8R14CN+92F89wTl0od8PbkG/Bf3X4Q/Bn4fOgafhv4L+3eQ9S7mn7v0Q9BOy +2zQjDF4v+q8lfrs7oL/zfkPFGibmaOSYk+jBv+B2fO1Af+rlmlSLYpxF9134 +a9Ad59udmWdLM7MU/YnwVb4nfHsT/hzxl8OfQv4k+FmomPOM1qG7P/UuaKY1 +29uJdya274n4uJeerM25B/eAe/B5ZcEzrdk+FrsHql078Ary/yLXoFoq+Oyh +t8voQUviHdOuSWcy8m74DTm/8a+p31BvuQW+kHmmNFuKOTNz7adjz756cIGc +RpDvwWYU3Kx9Ref+yDOimlX7E/Aj4D78vaB5g89nnmnNdjf2ZfA8bJfhY4D3 +mYzOe+jXF7yj2tUqfFvOM63ZfhG+ndoaoM4yOtjv5HsH8m3Yrcqcyz/greDe +1LuqHdWu3qR9LLnXryoOsd+Abyh4JtaVrCOZ9iTKnLveUG8ZZ+6Vdla7uxS+ +RvljsxycpK5tCGoCf0G+rehWoa/wXcy86+qJejM79W6cIL+98GfQ2V7jHtyF +7qWKe/0jND31DdAtkM8vwXOJ2xH7tk3C70X0d9f6jfRW6zPfIN2edvC0indj +BGoE78R2JTEXEG9K5BiKpRtUTH0jdCv60O8k3gr4QfwF7B7LfCN0K1Zg+wv4 +fGpcxb4R3FL27o6Rz3zNYtE3VrdVMXUDdQu1M2fBuxLH0j/jZvxPz7xb6ol6 +s7dsX/XodJW989p93cDvE8dUbPXgL+qbV3FvtVPzwU+XPDOaFb35nMSzpJ3R +7vycena1I9qVOcRfVPCOa9c/Krhn6pVm9pPEvdSN+hj8edm7pxv0KL42xX4j +vY1uZGvmW7NA9SQmYcWYm/kfqH+h5nkc+y2xd0S7oRs2lnqW9M88gO3DiXuh +mf8s9T9A/wLtzCD4f6ImCow= + "]], + + PolygonBox[{{4453, 3025, 2577, 874, 4345}, {4344, 891, 3188, + 3036, 4455}}]}]}, { + EdgeForm[], + GrayLevel[0.8600661531647823], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNV1tsVFUUPTPtdIbb3pm5AqXih7H4IQESpkZplCb+WEqBiEUTaCtRNKT1 +QxMLoQ98G4zUyAeojUYKidNoID4SQfxsSdAfwAI1RH9IKH38GFESE6XVtViL +6MfNObPvvnuvs/brzD07Xmx7IR1CWJIKoQJrbRLCm7kQurCmMyHMVoWQwjpT +pf3bqf9+n4T+mTiE9fjwe6xXIP+V7ypDuIT3E3juhP5UTQjbofMAbL5WlLw1 +H8IQvhmF87sh31iAf3y7CetXkO+FjSnoXMe+F9/eC52tsHOwOoTvgG8NZPth +exwYStgvxnM6aK3FU5fSfpHl87A3Dr/7iAc2d0K+GTZnIf8TfhdBvhHPLPDU +Yh3IhtAJ/U0prU/hGcO7xgr5pt1deNcB+QnYn8a7GTwLIevyt3y3Fb6ehe5Z +nLs9JzvkpBO/S9ifxxlX48xTwFHC2oRvV0N+IC1eiYfYmqF/AziHY70vWWcF +bG7BU04rXtRhjOin075OZsXZCayDWNusP4VnDrLF0Pk2IwzEfxF+z1SIhwY8 +05XC8A6eDzOK+7Gs7N2EjaM5+aCMsZ+1/jWsk7ZJ29e8ZxwYD/LWk9L+JawX +qqSzz7J/LGfepX2uvqxs8ttW8BUgX1/QmU7hGQGetVlhZtyvOB/J1TLEO8a5 +6rF2Z5Wj5GcCsotVimcJuoUqnZ84LzhnJp0/9Hsjpfgz9+hn5n/npT51GaO6 +KuneXxAnDVhXRjhLjXywJoiH/A9lxC05JjbmEDHRD+3wLI3Oc+b2HxnxQ2y0 +9W5OmLnu8/5r+NqLehnC70JRWNbFercyp/h+Cp1m4NmN3+3Yb6tRLO8qys8F +/B6JldsPg7c26LTXKOYbsF+H/aGsOCR/7COMKffkqs5noG/WGXOaXB1C3tcD +/1GsE7C/FLKrseLe429Px6rx9/PKU+Y6uVpalJ+/C9Ilb/zNXrLdfLInNFTI +7iOJ5OxDzO3PM+KAfYzfM8fmCuJ+GjoT8LUqp36wBWd8DLLjWfUh8sBaZw9o +dCwex/s3wPORnHLgi4ziwvOtsQ4xDhnnXFrYWDuL3E/G3bsa3VtY04Ou0yVF +2dwSyw4xswbzwHa2Wv3l3AI81aoB4mDM92SFlXVOTpgv884Z9oeOnHraL0Xt +P45VazPu+cRXcv9kfnAuEDttJ7bPXFvpfCtifT4nf+wNu62/DDivA1sDfJ8H +zgrwdRXvX0Fcfoe8G2sOOi3kEd/0V4qfWzylhIMYmH/kvxyrbqZ9LtbcuOtu +OKfcZC+iLebmmHsze9xCz4WSc4M46Yc+GOMjPtcx9zb655mYfzxXKaWVdlpj +5VNzXrJpy+/ICQdtbMirNlqw7kyEaXGiWLB3MffYm3e7P9e7R52IlYfMQdbp +qVhz7adYtdXjWtsfq+fdl0iXeFlf5Ls+Eud/FZR78wXZ7jV3axPtOWP5Pe0M +Yv8ZvuuoVmxbEs1KzsynY3HYlKg+LhtfGetIVrOS82qjMbDW+zzDerPilTrs +5SmffYVz/FYPTKtPsBaaY+3Zt3gG5gt7c9l2GAf2b/ZI8tuF55JnFv11eU/Z +Re95v0jbL3teORLvrKFCpDpq8wwp+17CnrIu0e9R4+RZjhvHwbxwvxVrFpB/ +5upMLAwHYt0l+rO6D7zne9KDONeRvHoDe22n7xe3+AG2VZH6+pPANhypH7Q4 +l9ZjPWdetsFeJfSfqVbvr/WMWOo8ZA4S03Be/B3Oq3ZZq+SQvNIP36Vg55NI +HCxPxAfvLyc964/5zIm/ZW31ur4aXFOsGc7osmPEmuTKumC+EBPx9DlmjBXn +57Rn9B5/Sx4YB+Ze2euo48J+yd7K2dDv3OvzvOzwHP/A84Vz5qbzn3VwONI5 +ecbDseboo+DyB9cX6+whcPlypJrnfGuNdNYf0bs24/ck9uM1qj/OomvwMQBf +X8bK/cvmfDl7c6Tf7GnUYVyIs8v5MOlc6vWdkXLeST6KdV/8uag87/b5OJ+3 +RYoJOe+3TdoiF5ybnAGMHfmjvW7bfB14vonUmwax7o+UB7xr0w77IHs5+w7r +ZQfejy7Qb2IbMGbe8Wd97+FsfCLSGZ5DzpyHj12J7rG8h3H+/1atvn/VMr5j +rJkbfc6TEcedv3v8H4MzjrOauXl7vtzuwSOuKebJqzWKzaRlA5bTN/2xHsfc +gzb5PrvWGBjXSfPPO1uTMfcbC/n8FxjutL4= + "]], + PolygonBox[CompressedData[" +1:eJwllE1IVWEQhiev1vVcz733BGm1y9pESlnUIhLa5M+1wLQgtcIKRFoUBNGf +YRoYadTCCivShLSCsIJ+l7aoVkaZEbUJUjGIiBJalNXzNouBmfPOvN98M+93 +Fu3eX7Mvy8y2YdnYg9AsjJntxNZHZg0JswxWFDfrwPYEZhO5ZnPx380xK0mZ +TVL4KMeskdrlxBPZ/m0Ffh352/LMnpD/kPxOxfDtJU5jx4mn4VuGPwNeRU0W +XDFsI/6mlPsHZpl9gX8Am6Lhw/S3jv6Gqa2Cr5j6MepXkv+Zs79Ssz5tNkT+ +DPknwfPJb+bbjtlm9cSXwcqSZqNwvcHK8WP0WkRPKXI+wdeH3wh/F/m12H3i +Gqwfvy/uZ+isj9hZ+MbhOMr5Ldhd4pfEJXCtwBrSPru2hNdqhm3knMvynO3g +XcSDxHvoZ2nks9ma8LM1o+fglWA/Oe8Gfql6C3yWEVYa+S40o0HwX8yjgNn1 +8O13yme/NuGz1g5ec9/54PlwviC/JeGc4urByjVjuJrAK/B3gd0MXAtnhFMz +LX5yurnrFrDNcF4Du80Zf1J+9mlyZvAz4K3g42Dn5/gddBftbBX4FeKGuO9I +u3pKfIraaXLK0r6LXu0g7jv5Dn4k5jN5FrpWdweuBWn2E98WUn8M/gn6m0z6 +bqQJaUM70W50hzLiO6HnaofaZTd81+E7GHcN14IP5bjGpfW51N/KcQ1lQtfi +0oS/DWnyAhydcBeSfxH/beizVk9j+GvSrh1p4L8WsOaY30l3q+QMA/9LfQV+ +JRxjMd/pK+ZYHflupJlO8jfA94P8DvDh0N+M3o44MtRf5S4jaOpx3GfYK31m ++x10l0LwbwnX/kq+FxNn5/mu9SZGwJKB61MczZG/rVy+HcevJ7c+8LeuN7I6 +8n+JNNRDL4eI4+DtYE2R30l3U8+94H2h71r/AP0LRuFboFlx9gn6yyTdf4O1 +pv3N6u1qZlPUzouc+ynnXSLuT/rspfFr+O/T/vbFKW7NSLPSTgvA6kK/t2bS +R34FOVWBa1W81cS1gWtbGm5nHvcCfyvSvHpSb9pRFfVLIv9X6Z+6OPKe1Js0 +/oHcgcBnpxlKY/8A0ku+MA== + "]], + + PolygonBox[{{4457, 3058, 2595, 1074, 4302}, {4301, 867, 2575, + 3023, 4452}}]}]}, { + EdgeForm[], + GrayLevel[1.], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJw1VDtMFFEUfcuy7M7szDBEPppoopFOlkSwFej4aEywNsEYo1gsGytj4q8w +0WKxMRpBC22Uyl+p8YuFrRiWzwKFsEagQoKNSjzHc7d4eW/u3HfvOefe+/ad +KhwfqXHO3cZKYlXSzu3IONeZcO58rXMzMHpw6Ia9C2sKPrk659rqZC/h/07s +GfPpwTqEu1sJfdP/FeKt2v29WecuBc5d9PAfe4zvXpynQ+cGEauE/Sf8h2Bb +wL6EtYa1jfgP4DvpO/ce37tqlIt53tGG9Qb20bTyEkMRtsOB+LzG+QbuT2SE +g3jmgW0U/2d95VnC9xrsc068XqTEbRH/CviexPkK9lZPeH5hvxXoe8ZXLMYZ +juV7H1w6oeHLlPAy57rlJdebwHgMK4/7/bAfqJPm5M/71IBn6sx/fWnV5QNy +3QOXt/i3gbVpPk9gK/uy0ZcxWRdy6LNzCf+LgbSlfT2hmM9DcVqJnDsLnzbE ++mFasCc+mTZVG3EtGM4TwLmaEZ+hpOrFM1d7RhyZc9rXnYInjOyhHqsX69gI +20FPXIm9zzTZD00ep+QzFqoWTQ24X6s6kdfVWL06EAnPmvVOxTQj/qeh6vcd +Ph2ecBADe6LdMDNv3uzEMmJ4qNVYSnrR1mF21mjTtMhBs2FfdeaMzBi2a7Hq ++jWQbjyzXnmLw1zsC/b1N+AcR56TSeVi3EXTuTcpDThTxbTmir1MfcvW84yX +N2zMx1zzsbSljVow34b1DHmXLcbfeuXexr4CLrt96cW8rAFzs87UtzqXPFM3 +1pE9TgybNr+Mz94fSOrfw0jz8Aj73Ugx70SqM/UlNr4L5EV+s8DQ4qve7HX2 +H2eUulAf1pT1Ih/q3GT3/s9+Wm8Bz5y1IZs35li3fiCXCav751A4pwLxoj/n +odW4VmeD+7NQfOhP3fjGjPp6Z2i7bnZ+N9pbWo7Fg/3LvsjZ+0nsOcNPbRiX +Op9Bf8+D/wXsWcQ/7atONbAlsqpzt3FkD3z05Ecf6sA3lRoEsLmserm5QfXk +HIyH6im+VV32JrGvKpG4LxtOzhix8S0cs/ewBfHOIe5RxPxTL/tv7F8CzWN/ +pHnttJ6pYmItyI/a8HwZeCqcmQbxKBqXI5Fyc6a3kGMuqxmgroOmLeeFs0Lc +fJMq9i4tZ/Uus27NvnqIuu/x1dPk/w9y+O7C + "]], + PolygonBox[CompressedData[" +1:eJwtkrtPVGEQxQdWwt17794lETURCwmWaKJYawmijf4DEGOiFRsLSUyMsTCx +QSuUl4VYiJ2Pymg0yDa2krCoqxQQQKEyxsYH8XdyLCZ35pvznTnfudN9vnZu +pDUijhO7iFtZxBniSBLxmOglf1+OWG+P+ErU04gZzlbBztPf3xHxrC2iUQKX +R6xVIobIzxJL5F30n9Pvg/xBEbEI1/3Md7fh2+TOMNhpMH+rEbfh3wDTSX83 +MQ72MPEN7EvqT/BdhquO6Gn4f3FnuyViivt/yO/AtwzHCthD8NxlZg/4fmbU +wY/Sn4PvO/0a/ZbMZ8qPlT07pz76X8NsYe2P4B8nn5Q3xBZ63tBfYtZPsF/I +PxMfqB9Kb2INyl+l9lJn8nYBfLPdHl9K7Ym80BubwoL5kVij8kZqbp294A03 +ecsg8Y58A03XyXfw4yn1Yu6ePJf30izt8uAe+e+qvdI/078b5Gy5ZE9vUF/L +7bm8voquC8ze5LsnseZThf91L/gB8gB7hTsjZXvWQX2CegxsP/VH6r1w1Er2 +6EnFWrUj64V3aZ92ruydkrcXU++aPNbujaXeBe2gZmq2NJ8uPOtgZq2aOVPx +bmhek/cc4O5a5l2QT9LamvlfS/NO1bunHdIu6a0nc2vXmxsV77I8l/fz8E1w +fwWtrxPnb1Pvgs7+Abt2gYU= + "]], + + PolygonBox[{{4456, 3045, 2589, 894, 4374}, {4373, 879, 2583, + 3034, 4454}}]}]}}, {{}, {}, + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3303, 4093, 4094, 4090, 4092, 4091, 4122, 3281, + 3657, 3656, 3659, 4223, 3658, 4224, 3283, 4314, 3482, 4200, + 3483, 4315, 3481, 4373, 4454, 4471}], + + LineBox[{3523, 3733, 3734, 3732, 3745, 3744, 4123, 3282, + 3528, 3512, 3542, 3541, 3555, 3813, 3503, 3812, 3504, 3814, + 3502, 4374, 4456, 4477}]}, "0.8999999999999999`"], + Annotation[#, 0.8999999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3460, 3731, 3399, 4111, 3398, 4187, 3791, 4188, + 3457, 4150, 3470, 4160, 3890, 3891, 3495, 3527, 3526, 3570, + 3471, 3560, 3655, 3654, 3402, 4114, 3742, 3743, 3417, 4302, + 4457, 4478}], + + LineBox[{3522, 4166, 3487, 3915, 3916, 3917, 3564, 3914, + 3913, 3912, 3486, 4165, 3521, 4119, 3411, 3887, 3888, 3889, + 3424, 4413, 3494, 4411, 3493, 4412, 3569, 4388, 4387, 4386, + 3509, 4416, 3302, 4405, 3480, 4383, 4423, 4424, 3558, 4432, + 3466, 4392, 3467, 4393, 3416, 4301, 4452, 4468}]}, + "0.8099999999999999`"], + Annotation[#, 0.8099999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3244, 4059, 4060, 4056, 4058, 4057, 3243, 4361, + 4362, 4212, 4364, 4363, 3508, 4359, 4360, 4211, 4358, 4357, + 3242, 4268, 4269, 4184, 4271, 4270, 3297, 3549, 3550, 3516, + 3548, 3547, 3241, 3537, 3538, 3514, 3540, 3539, 3286, 4346, + 3498, 4208, 3499, 4443, 4347, 3497, 4344, 4455, 4447, + 4476}], + + LineBox[{4152, 4109, 4110, 4106, 4108, 4107, 4149, 4088, + 4089, 4085, 4087, 4086, 4147, 4331, 4332, 4204, 4334, 4333, + 3492, 4329, 4330, 4203, 4328, 4327, 4335, 4260, 4261, 4182, + 4263, 4262, 3287, 4396, 3474, 4197, 3475, 4442, 4305, 3473, + 4345, 4453, 4448, 4469}]}, "0.72`"], + Annotation[#, 0.72, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3250, 3274, 3868, 3867, 4105, 4104, 3248, 3272, + 3864, 3863, 4084, 4083, 3246, 3270, 3629, 3628, 3723, 3722, + 3240, 3268, 3621, 3620, 3718, 3717, 3238, 3856, 3855, 4158, + 3464, 3895, 4162, 4404, 3479, 4380, 4381, 4382, 3562, 4422, + 4421, 4379, 3478, 4403, 3520, 4292, 4451, 4446, 4467}], + + LineBox[{4278, 3265, 4143, 3852, 4033, 4032, 4142, 3264, + 4216, 3785, 3607, 3710, 3709, 3784, 3263, 4215, 3783, 3606, + 3708, 4241, 3707, 3782, 4177, 4176, 4194, 3463, 4237, 3910, + 3911, 3749, 3423, 3748, 3422, 4125, 3554, 3851, 3850, 4031, + 3367, 3661, 3894, 3736, 3409, 4118, 3408, 4234, 3737, 4235, + 3410, 4291, 4458, 4445, 4473}]}, "0.63`"], + Annotation[#, 0.63, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3446, 3780, 4239, 3779, 3602, 3361, 3704, 3445, + 3778, 3777, 3601, 3360, 3703, 3444, 3776, 3775, 3600, 3359, + 3702, 3443, 3774, 3773, 3599, 3358, 3701, 3442, 4289, 4290, + 4193, 4288, 4287, 4317, 3296, 4255, 4180, 4276, 4275, 3301, + 4018, 4019, 4015, 4017, 4016, 4121, 3278, 3652, 3651, 3653, + 4220, 4222, 4221, 3280, 4310, 4311, 4199, 4313, 4312, 3477, + 4369, 4370, 4463}], + + LineBox[{3835, 3641, 3640, 3639, 3397, 3730, 3833, 3635, + 3634, 3633, 3391, 3726, 3831, 3627, 3626, 3625, 3385, 3721, + 3829, 3619, 3618, 3617, 3379, 3716, 3827, 3613, 3612, 3611, + 3373, 3713, 3795, 4156, 4157, 3794, 3799, 3798, 3885, 3279, + 3886, 3884, 4173, 4172, 3511, 3536, 3535, 3553, 3808, 3809, + 3807, 3811, 3810, 3501, 4371, 4372, 4470}]}, "0.54`"], + Annotation[#, 0.54, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3459, 3729, 3396, 4103, 3395, 4230, 3790, 3456, + 3725, 3390, 4082, 3389, 4228, 3788, 3454, 3720, 3384, 4071, + 3383, 4227, 3787, 3452, 3715, 3378, 4055, 3377, 4226, 3786, + 3450, 3712, 3372, 4044, 3371, 4225, 3781, 3448, 3706, 3366, + 4030, 3365, 4185, 3772, 4186, 3441, 4140, 3468, 4159, 3882, + 3883, 3491, 3525, 3524, 3568, 3469, 3559, 3650, 3649, 3401, + 4113, 3740, 3741, 3415, 4299, 4300, 4474}], + LineBox[CompressedData[" +1:eJwVzTtOQmEQgNGxFxDlolJJoWgpBaKFTyyRxMKOhsQ3XECXYqtrsdYVmFDQ +YAXKFjwWJ9/M3D+55U7/Ml2IiCbzbMQzpUzEUNf1SX8ZsGZPdVX7+kOPov1R +E+3qjAcK9jtd0Xudcsuy/Vrz+rIUcWP+omF+czvLmTlnaj/VE455/f/u3bsm +2tKK+zY7tO37+YgDatTZY+4+Xowomzc44pCJ265WKdFg5Pbt/YW5xSYVtrhy +//DfT3r2P4sLJEM= + "]]}, "0.44999999999999996`"], + Annotation[#, 0.44999999999999996`, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwVzc0ywlEYB+A3LDNxCS6ojY19ezVsbUkkVL4qlF0fy1bGJSgrM9Gia2CG +rMLzXzzzO+d3znvORq6wmU9FRJaHdEQnI7mjzT0dfUveckOTRnKuv5LX1Lnk +IpnRV2WNU845S97Un8gKR5Q5Tt7VH8oS+xQ5oKVPrUcssbsWsSKXGa5G/NmH +9Y78ZUHT/a7sscWAPjP9u5kpT7wxoaF/liMeeWHMq/7L3DcFfpjTdfYhP9lm +z///cvE2IA== + "]], + + LineBox[{4151, 4101, 4102, 4098, 4100, 4099, 4148, 4080, + 4081, 4077, 4079, 4078, 4146, 4069, 4070, 4066, 4068, 4067, + 4145, 4053, 4054, 4050, 4052, 4051, 4144, 4042, 4043, 4039, + 4041, 4040, 4141, 4028, 4029, 4025, 4027, 4026, 4139, 4013, + 4014, 4010, 4012, 4011, 4138, 4322, 4323, 4202, 4325, 4324, + 3490, 4320, 4321, 4201, 4319, 4318, 4326, 4256, 4257, 4181, + 4259, 4258, 3285, 4394, 4395, 4196, 4304, 4303, 3472, 4338, + 4444, 4339, 4206, 4464}]}, "0.36`"], + Annotation[#, 0.36, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwNzz1OAlEYhtGPRFBRQAR/sHMBKo0VlbG2cQMiWOMu3ILWghELQ6wwQaaQ +oKHTEispiSzCU5zMe5+ZW8x+4/q8lYqIM17WIybsFSIqpDZEeton29oWC/54 +1saU7RIzfnnURmzaRb754kF7J2/n+GBMR0tYtVd4pU9bG7JsZ3iiy732xlo+ +IssVTe60ARk7zSV1brW0e0vU/M9NLuLYPrGPihFVdqnw49u591PPU+cdDjkg +0YfuJFzQ0v4BTnwnwg== + "]], + LineBox[CompressedData[" +1:eJwVzjtOglEUReGDFjb4IKEkKuKzt8YJoCTaiRLjADQ+QFQsDZhY2NnLEBRE +cDAMBNDvL1bW2fvc3Hvz55eHF6mIOEJ3KWKQjtjh2cWIJzSxLf/ot3hGfsQD +NuW+foNT8j0aWJe/9QUO+Q51rMk9fZ7/FiJqulusyl39Ck/1N7prLMtf+joP +9dP5iFM+wQCfdrXkb+aJXYXf5GPuo2w+wBme7V+56N49dJJ7dB9c4ZzdiCfy +GFfOzMkl8675nfflrHMlbvEL2skb8pB/UUUjE/EPMgEsKw== + "]]}, "0.27`"], Annotation[#, 0.27, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwNzzk2Q2EcxuF/UErQaW0EW0hiLNIEieQajhJ7UKVWmqeECLbgaIKOyhbM +gjzFc97f/b57knNHiqu5lVREFEjSEa1MxNZgxKXteO5jVldt017wo3uZ0RV7 +bht86x6m9aKt2zO+dIopXban9oRPHUzqkj22R3zo//6ICb2gD+0B7/rPeV7P +6327x5v+dZ7Tc3rX7vCqO86zuqivfdcNBa5o8cSzd7ZtngZ1XpwtDUQsUyGh +yrC7W3djfnOUcdadbbLBnbu2vafEIw/U/H96KCJDzXNi1+gCuow7tg== + "]], + LineBox[CompressedData[" +1:eJwVzzsvg2EYBuCnSBzSkyApiVNSrXTQDkgqJiObxVZJZ2GxmEgXi8EPMfc/ +kA4kLI4rJhWRRiRc33DlfnO/751833zzYHs/FRE7/GQjVllhmY1MxLnsUaPK +Euv6M/nNImVKyVZ/Kr+YY5aZZKtvyU+mmKRARX8su0wwzhhF/ZH8IEuGNNP6 +Q/nOMEMMktc35RsD9NOX7PS78pUUwZ9uhIbzDfV8xBrXznfcspCL6KT9kyyy +5X6Ttt0Vl7zw4O0j9zzzxIU+N+qb+LXZkyf8A5DZKeU= + "]]}, "0.18`"], Annotation[#, 0.18, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwV0D0vg1EYBuDHQDTo284MqgsLC0tLwlSzxGRSK+/bTUQoFXN3Ft/+AH4A +EpYyd8CKwV/gMty5zn1OTs5HqZ4tpT0RsSKtoYh2PmKBv0nEPA8LER1zTeNv +c1V+ssIv7vCDM3zjNN+5zVdOscNJvnCLj5zgPcf5wE3escwbjvGWDV5zhJcc +5hUzXjDhGfM8Z8oDDnKfA2xxg3vMcZf9bHKdDfYxZS8zrrLm7acc1Uv/d5If +veo/KtKVE32OZWuzXNQL9h0ZH8uy/qQ/y5rUi86VP42bMAo= + "]], + LineBox[CompressedData[" +1:eJwVz7kuRFEABuCjt0aNeAtrQWUMZtxZzIx9rIWQeAutxM47oFfyDAqVSKxj +3zW+W/z57v/n5p5zW8sr0XJVCGFJrmtDSMtfdQhD/GWKB/UhLNaF8KPP85sL +3LfP8Uuf4SdnuWcv80Of4junuWuf5Js+zldOcMc+xhe9xGeOctte5JM+wkcW +uGXPs6Jn+cAcN+0Z3uvDvGPEDXuat/F/8YbrtpTnBCM5rgmhU++S7viOegfb +pU2O9D7vnbCRSTbZm6VFSnq+wT0lIznJSsV+4bx+zwkpSkEu4zsykh7plXPb +lffXJKkPykD8Hf3UmWdyKNO2VfkHK8VAOg== + "]]}, "0.09`"], + Annotation[#, 0.09, "Tooltip"]& ], {}, {}}}], {}}, { + DisplayFunction -> Identity, DisplayFunction -> Identity, + Ticks -> {Automatic, Automatic}, AxesOrigin -> {0., 0.}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines -> {None, None}, AxesLabel -> { + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + FrameLabel -> {{None, None}, {None, None}}, DisplayFunction -> + Identity, AspectRatio -> 1, Axes -> True, AxesLabel -> { + FormBox[ + TagBox["x", HoldForm], TraditionalForm], + FormBox[ + TagBox["y", HoldForm], TraditionalForm]}, DisplayFunction :> + Identity, FrameLabel -> {{None, None}, {None, None}}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLinesStyle -> Directive[ + GrayLevel[0.5, 0.4]], + Method -> { + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, + "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + PlotRangeClipping -> True, PlotRangePadding -> {{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, Ticks -> {Automatic, Automatic}}], + StyleBox[ + "\"min(x,y)\"", FontFamily -> "Helvetica", StripOnInput -> False]}, + "Labeled", DisplayFunction -> (GridBox[{{ + TagBox[ + ItemBox[ + PaneBox[ + TagBox[#, "SkipImageSizeLevel"], + Alignment -> {Center, Baseline}, BaselinePosition -> Baseline], + DefaultBaseStyle -> "Labeled"], "SkipImageSizeLevel"]}, { + ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, + GridBoxAlignment -> {"Columns" -> {{Center}}, "Rows" -> {{Center}}}, + AutoDelete -> False, + GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + BaselinePosition -> {1, 1}]& ), + InterpretationFunction -> (RowBox[{"Labeled", "[", + RowBox[{#, ",", #2, ",", + RowBox[{"{", "}"}]}], "]"}]& )], + TemplateBox[{ + GraphicsBox[{ + GraphicsComplexBox[CompressedData[" +1:eJyUvQdcVMf3B6qxxhZbYjexJ7En9nbUGFuixt4TNdbYY9fYe4u9d1RUsKKi +CCrSFFCkKwjKLiwsbbH38pZ77/fMm9nw/73Hx89nPHPnzp1y+jkzW2XE5F6j +PsuVK9f4krlyZZebq3ex/3OjXMafDvsw/MB9ov1fsPI8nGHt8YNohmP1CoY/ +fsr+e8TwJu19M8PVssHNSQxf1F5PZriT9sFUhmO0/tMZHq8NMJNh/e+xAot5 +Yn6AMT/5eTjDmB9gzA8w5gcY8wOM+QHG/ABjfoAxP8CYn7xPjxVY7Js6T3l+ +Psr8fJT5+Sjz81Hm56PMz0eZn48yPx9lfj7K/HyU+fko83PEw//eN3We4Qxj +foAxP8CYH2DMDzDmBxjzA4z5Acb8AGN+Mh09VmBBV/+Nhz4O8wIs71+4sn/h +yv6FK/sXruxfuLJ/4cr+hSv7F67sX7iyf4584r/pysdhn9R5Acb8AGN+gDE/ +wJgfYMwPMOYHGPMDjPnJfO6xAgu+9998wscB79R9UucFGPMDjPkBxvwAY36A +MT/AmB9gzE/m248pJz7+33zPx4GOVLxT90mdV05y4r/5qo8Dnap4reKBum6A +sX6AsX6AsX6AsX6AsX6yXHtMOck5zEflmyqfUelSxWN139V5AMZ8AGM+gDEf +wJiPLJcfU05yGvNR+b7KJ1W+otKhirfqPqjzAIz5AMZ8AGM+sl7xmHLSMzAf +VW6pfF7liyofUelOxSN1H9R5AMZ8AGM+sl70mHLSkzAfVe6qckrl6yofVPmG +SgcqHqn7oM4DMOYj63WPKSc9D/NR9QZVzqpySeXjKt9T6VilAxWP1H1Q5yHr +pY8pJz0V8/lvvUfVE1S5qsohlW+rfEilY5UOVDxS90GdB8bjlIO+7WSMz6a0 +E+9V1caTQRO0fuMZ7qw1MPH7eA4Yz9Ef4Jz6AayOC+P9X99Rn6vfBSzvi035 +zmOH76Ie/arrJK/nZgUvskiuh54s6gHr+/yQYf1xAvcH+H+9h1J977+fi/mh +H3UeMj5sZvzCenTUHmTy+3iOdcdzeT5iHdCP+h5gvLdR+4+Nv6PC8rp78j6h +lOvdHJ6jXt//AG6PEvWgf/W5zBdCuT1K1INfqM9Rr883ktujRL3MX8Rz1Ovr +F8PtUaIe/Eh9jnrsB9qjRD34l/pcrhd0LvdnYj1SfS7rm4ncHiXqwS/V56jX ++7Nwe5Sol/Uy8Rz1+jhSuD1K1IMfq89Rr+NlGrdHiXrwb/U56sEH0R4l6sHv +1eeyPmDj9ihRD7pSn8vyWaUTtxzpAGVOeC7LR0c8RpkTnqLMCQ9RyvUCT2S7 +whEPUOa0zyhz2keUOe0Typz2QdZ7bA58Pye+h3aoV/ksYKwLxgdY1v8eGvNL +Z3pCe8Boj/7RHu9j/Pp+uypyytV47m7My9sB1pv7Gd8LdIAnac3vkFZdPcwB +1r8TQXq3UQ6wNtxP9wx8iHWAdTyI4/moMOatr5/JAdbnYzbWJdEB1udhMdY1 +2QHW8TPFwBOrA6x/J5UuaP2mOcDYD+y7CgNvcsIDmQ+nK/jmiAcyP09X9AxP +RW9zZ3yQ+YeTArvxvsv4Ear0G8p8B3iA92R5FsCwzI8i+D3wFfQLGHwJeIL3 +sE7oV9ZHoxlv8J4sp2IUefaA1w3vyXwqnvFIxjeLImctily0KPiXwv0CluVg +ioKPadwvYFnupSr4mcH9ApblXDq/Bz6BfgHLcs2m8KMYbif74Wy8bnhP5j9q +PMGJ+Q3qZbzwZH6DeuAB8An7DHwA/1D9ZLK8Mjn4fWQ+m+zgV8D6g/5Vuxzr +DfmB9ZTlRprSXtiJqtzH+qFe1v+9eV1l+nNS5LmTQj9ODnYT5g0YeCm3tzCM +eQLGvACrdiP2T5Yrkcr+xjCM8cnPTQxjfHJ7C8MYH2CMD7DK5yCvME4ZvwMU +ug9Q7NsAhW4CFL0igOlC5bM58VHZXg7l7wHG/OX2FoYxf8AyHjriCb6fE5/G ++HPCK3Uf5XVy5OOQYzKdJir0aWEY8wEsy78YxW8h+FJOeK/imbrP6j6odKLi +pYoX6r6pcgb6B/iQPD9HOlTxXsUD2d5zpFuVTlS8+e91NznwO/BF2f9k4fXO +iU+odKni6X/vs1gX6FMYB76XEx9S6V6lU5UuVLxS5Sz0NYxD7z+LYZXvqXxA +xVN5XR3lNPrHd1U+otKlug/oLye5jn7xHchNXb2LYj1PlduA9e/7OchtwLIe +J+Q2YOgHqpwG7G7oSaqcBgw9R5XTgKHXqHIaMPAD88H6Yvwy/QYqfDKCS9SD +T6j8TKVvjE+2S63KPtvovvYf+NFtvN4YL9ZX1gMilPEm8HigR8rjSVfo2sb4 +jHHI+B7MeK6X4YocjXaQC7A35Limqn+ocUonJY7npMTBnBQ+osZtVH1EjXuo +/kU1T8BT0Sc9GT8By3FUT4Vvq3FJTyWu56nExYQ+gnWW8VPE9YGnsr4doMSJ +AxS/U4DCF4MV/0YA65WA1X2WxxmutBNxeNAN8E5bBrteJcepQ5X4SqgSXwlV +4iuhSnwl1AHv1H2T+aWI86h8U36eK5eqz6jrrOYfqPqNGifHc9m+iOH5Acb8 +AMv2fIzih49hvFb1ExUP1HVX7SCVLtV8AVXfUfdNnacad8b78vxMDnSO/lU8 +UNdNtdNy4hMq3al49d/7YHKIu0KuyvEVC+OTDIPPpTjQuYrH/73vJgc7U42T +ynzvsaL/uDnYYWq8WtWHVDxT563atSqfVfmIiqfquqnzUO3k/5svRTvoP/+9 +D48d1km1w2W9xFWxo72Zb8n6gDe/Bz1JthcD+T1Zb4nlUvbfJXM7WS4nKnq2 +0A8Ao4R8RinrdREOfjKsI/qX8dWV8RbzxT7I9nuoIhfQL+JfkTxfOZ4k4kWy +3iH8pKrfVPXTq/OV4zI2B7+q6sfHc9CLXg9/5lkDry4wrM/bg/mh/tzP2Ocb +xvx9Gda782d6g56mvx9kvH+b4UvaCyFKPlKcMa5YYx0eMKyPJ575rF4PfyL8 +3wLW2ycq+Aa7A/tvUfgO/NfwdwtYb59qrCP8gsLekekolPEI9CrTi0nBE6Gf +ynEwK+Mx9lX20wp8Az4CBp5i/2U9webAN4GfgLHOGI+MvxnKPtj4OWA1zqX2 +K9ubJsbrnL4j248mhd4d5yXPG/SdleM4AaN/tFf9uKgHLPuTTdxe7ee/+V06 +96O+BxjyRv5uFtfrdIb6PVyiHnwf9XIczqTIKRPjEfg5YOAT+Bz4npyHl8L0 +pfeXoswb8t7iQJcyX7Yo/aQ64AlgWW4LfxPGDTyT46piHOhPthPjeb7gS1gP +NQ6G+cvyCXauVdGzQ1l+oj/A+B7oHc8By+sv8kqAD+Dnct5domLXmpU8tkTF +/hZ5X7L/LYufo162s8yMz3guyx+zwr8c4z6y/8vigE96vYDVOJGMhwJ/oHfI ++km8sp+JSj6mmfEE6yz7pzyV+bkr80tR5pPC+CD7YYMZvyAvActy5CzzNchb +yGXIU/TnbshLOf4j/EiQZ7Lcc6QjlS8AL4AvgOV8L1fFb+KqvO+t0Fsg45dK +F7Jcc1XyqrwVfuXq0C9g9IvvyHqzifki6vX1jGb+pvcXxbC+rvcY1uXwfYax +LxgX9gXjBh1jnLBD5bh/ksO+gL9gXzA/jFuFsU8y/9jM+AlY1rvclbioO/vT +oP/huazfbXbQUwCjH3wH/aBfdVzqOPAdOc77QLFTHvM+5zL+8H3Acv/hinzI +YL0Ofkf4IUF/GBfoD/MA/WGcoD/MF/Qn80Eh50CPspyL4XHqpU3RE4T8U/Ui +tFf1jZzeQ794Ty+dDfzMcugX9WiHdcR4MS/V3ws+jX1CexlPBKzuG2C9naBP +0AX6l/0KFgUvRP4t+KmsLwo9XrVrQcegb1XPRzvsv44P4j0dXyId7Gg570+c +B5L9T4KPqnmNsh0h7Gjwe8ghmf8LPRx8Qs1PU+0S7Kfar4xPwi6X5amNYXxP +PW+g4iPaqXmIql9A/Y4c58hyyENU41jgV7JfDXJc5HOq8l1enxTGeznfU8h/ +PNfxIFSxi4U+rb+fyHxDn08a8wm9FPwK6wIY38F35biwoE9Vb1Xjo6A3lc8D +zwFj/GgPfoDnwHO5fQLvsxzXBX2buT3wGbDqdwSd4znwVB0f8EzmV+4OcT/V +z6zKMTlO5+7gh1TlmBy3FXFFyA/5ez78PTzH92T5G8/tVbkq5wf6Md6jvZyv +6cd0ADiX9BfqsO/gd3IcLlcueZ3VfXdT8NzdwY8o442bgrfuil/Dh5+r6wT8 +UdvLeXJ+Dnor8FJe7wSF3k2KXEp0wFM8l/MBNiv2rkmxg62K3Zuh2EXp3B58 +T86rs3F7mZ9ZeH9lOnFjvFXx9L/jzIKvyt8Rcl3V+zFutJfzASwOfl20x35h +XiqeyucaHeeZU1wXMOYr45lHjn5QfB/j0l/3z9EPCrqA3IefU3/f0Q8q51lC +rsezHqH6QWX8RvxJyAu9f+EHle1RC+uZcj7k//J7pihyxaL49yz8PayzfL7P +psinRw56DWDQiyp3VL6tyhm9Ppqfq3xU5eOyH9VPycsQ/EPWpwQfluOHm3lf +5LxUkwNdqXY33lflmHze1d1Brqh6rqoHy/aExcF+VPUk9X05j9rPga+ockTW +r0U8St5XcT4D9AJ5AnqR486xyj48UuwLq4LXAk/VcxMy/gq/LPQ8+Ev1dplc +L/NP8G3H9wDL+nE604U+vnSFToS+K/vlTDwO6Ht4D3ap6tdR/aQyfZuYztU4 +iL4+WD8B6/SbzPon+pHpWM2/hzwKUPSzQIWOgxnWy3AHOgYsx7k3K/kwm1lf +BT/X8SpM4fPhDKt8QsY3d8WecOQTwEMV7wHL8xX3b8h5kIHMjwDL83bi7wI/ +wJ8wT8CyvBX3Lcj+W1fmT4DVvDLV76SeW1bpWuYTJpYb6F/1W/0vP5bKl/Cd +nPxaaC/TQ6YSZ1fvwTnr4MeV87XFugGPZT3Ph+kHz2U9T71XJoj9AIDlfPZQ +ZTzBOZwjClbsLtEv+JKOf5EMA/8wfjyX5yPOualxD9VPLtsVjt8BjPZq/qLM +95IYzmmdZbvQm+VwTvMAjO/LecbiHJ58Ti/RQc6DTv7bj5LoMI+c8EC2U71Z +/wd/gX4FfgoYeC7bjY5+GzlfQPBlOY6dpnwvzeG7oB/AkHdyfFL4UXLCW1m/ +D3SIK6l+JvlcmCrX0h38RIDVcWN8cpw2y+EciVoPGP1Ajstx180K7MT6rD4v +5xzbyfaGs4NfCTDwA/xHH8dV5lfgU4BleRek2BXw24h8Xb0/5MeK/F20Qz3a +gc5BJ/o8HrI+Jp8bEPm+sp4BfUfE/WX/lZX1CjkPXORVQF8CLONBOutF0Mew +j/q4hP8eJdpBTmPfZNiJ7Tvsm+zXd1fsO0+277BvoD81Hxv8AHoY7CbZPk1W +4tsWXie0xzywDpivrJcJv6C6jrIeKugI+Crj42YFduJ5Yn10fnuDYTWvQdZv +3BnG+ul60E3uV5ZvV5l/YByyHuLtIBdlf0mgMo9Q9uvgPfQvyy2LordZeN+x +T4BlP0oAw3gfdhvag6+r9i3kGtZJhWV/WADrj8BfOa/zIT8HLJ/zeMhxJn18 +jxjG/GW9wML6KdYD/WM9AGP+eF9en2heD7T/7zynNH5fztuMZnpCe9CL3F8G +vy+fS4lm/EB7NU6K9VT1HzUPBHik6gWgE+AV9lfVZ1S8A6z6MfG+qk/Ifq9g +fi6fP3HE25z2FTDWIad9Bj7+L7wHjO/nRAc54QlgfD8nvFH1mpzwBjDezwmP +ZP9GmoPeIcft03PEM8AyXTjiney/yWD8A19X/byq3oP9UP2V4MtqHqaaZwk8 +k+W20E/Bh8HP0T/4N+SlzK8DGMZzWQ8W5x9Vua3368vyRP/ebaX/JEXfcNwf +0KEcV3VysJtVu1rOz3FV7Aw3Xi88l+lUzTsXcUzAsv7pqth56jkDYfcAls8J +eDOd6N/3YTrFczl+LmB8L5fxh30Dv/m//TbiXLOcbxes8A/h50D/sr8oUPG3 +BDD+4bmchyXy+FU7Qx2vXor7USH/QS8y3xV+IqwLnsOvIusHJiVPyexgd6r9 +gy/o63GT84jke6UiWQ/TX4tS7AhxDgDPQY9qXrDsPxJ5wYDlfXNV9HrQnZn3 +BfOU5aNJ0T+EP1u9nxJ0JOtNAlbPv6jP4Y8CPgHGc+ARnqv+cfXcmZwX4K7k +Sbo7yAvVzwkYz1U/GWDst7yuoQo/c9SLAat6MfBAxvcgBf9EHohsd6UxnwTd +oH+MU85nFvcSyvZ6zn434Kssp4KZj+vjDzL2WcD6+IWcAh7IeId4F+JOAtaX +UY17ibxO+Cf154gPCljHPyH3ZPkv7Cn5XhD1ngNnHjfWFXQm848Y9t8BBv8B +neK5mgcCGPavnKci4hcYD/YTcgqwnIcv4gvye5lMz+A7+n7u4e/J8kDNQ8/i +92S5kpVjP3gPz/V64adQ9RQ1roJ9hr2M/QMsy/8IRf7DjxnP66/KRVm+ezrw +DVXOyOcLAhz4puynD3bge/I5IgvzdcDqOWfoAdALVLmPccj8UchZyEvZH3CW +8UGen43HDRj9yfHBSOYPqlyT8wvdWd7iPTlPQ/inZHkt9lHOA09U7BaRf6nK +MzwH/sn5p1mKf1X4n/Bc1mPdHfx6gLGe4A/qvV7YX/kes1jWm7Eu2GfMH/MA +jH2GXIbc0NslsNwCDD4FPifHTdMZf+S4pjg/J/vFXHkcmDe+h/VV/c1yvm0o +jxd8E3iDfQesv++r2Cm+ip2N82uCDuTzr47nDOT8VXEvK+hA9gPbcqQLOU/Q +kY6hf4OfgM+ofjcZf7wVPfUGzx+w2g5wTu0AY12BT4CBTzK/iWH8lPOWRdwe +9I39V8/pYJ+xPrJ+J/xW6r2C2EdZL0nJ8dwMYNCnTC+eDKt2K/i97JdNd+AH +ajvVX622Awy+I8fpRF6PjKcibq+ec5HxTNz/KOs94p5mmW5FPjdgWR678ns5 +tVPjJzK/FefsZH0skceL9uCPwEfwT+wPnoPOUS/rwz4My/0EKft8h9vLcdcb +ir6KOMcjJd8yQbG7Eri93m+CEqcT57Fg78h+/CSFvyYyLMfnRXusG/xh8nlJ +q6IvijxU9TywfK7nLPNjOU/JTfFfeCpxPnclPy+A54F1l/OaAhS/pJ9yX3io +YqfcUfJOQ3mf9FK1FyJ5/JBHGB+eY3zqc/AjPJfPcyQ62NtyXlsE44Max1X3 +ST1HB3wAHwCs3jOP9tgntAesroN8b0sEv495yvcBxvFz9It4HvZNXkc/5k96 +/1kO5+lkv75ZiWulMgw+A7wHXwHeY9+xbrI/IV1Z5wz+HvQ19A++pOZ9oYRd +Iue5pDDfRb6Zeg4A+oMcrxPt9H5EnpUsh8866IngO+Arql4IfQH0B34MGPxa +b3aBYeS9qnoT9hfrqsvNmxznhBwFnkA+A4YegLxVwLCrwG8xbnxXL/co9oQ7 +0zfGq8aJIe+Bh4AxD/AFzEOWV3cUORfB4wPdyHpUBPM9FZb122CmK8ghma4C +HPgJ+AVg6O2gO9j54MNynNJVsf+cGJbP1aco8iiF6Q75lOq94TnFsQHL58kF +LMf9M/g74A+yHzeLnwPGOOVzKhk8HtlPJfJV0b+cj5LlkC8g/04A5JHNQe9H +/4Bl/Ip2oDuVzgBjn/TyvIF/p5T8ggDGd+CrjP+4h+S2oZ8GOtChSneAZX0c +ckvEf+Q8MjPjm8z/Tex309dN+GFk/pjK+CTzd+F30+WYlfkt1leWx66Kf8RV +yQ8U8Q/Asn0i4hOyfzWLYfANfT2F3YP91ev92V+PdnI+uLiHQ/YvON7rjfHI ++yHsJjWPA/sPvoL9UP2i2Eest+r3xD7JcUrh/0M/sGvBj0EXMuzM64j2cl5c +moN+AX4pn28IZ/kHfIc9LOcjblb8dE6KvIlX7s+PY/4HfQF6kxwPF+dBwMdB +r6p/RtYHRV6ULI+SFf9wssO5vJz4FGDgOeYJPQDrLts/ror9gniCjyGvryn5 +NwFsB8nyMEjxA4pzj7JfVc3vMrHeo97LAFi2Q1IU/7qaDybyH7FvWBf1vJka +b1LPU6i/9ybn74t5Yl1k2MZyAd+X46ZZPB+sv3zPlrjnAHgl5zF7K/vlrsgB +d2XcHg72q6rnAFb5Sk5yX723X5Xb6r2coGf5Xk6zwv+FPS/7M/x4nPq8fBX5 +5sfzxXPwPVlPesT0p6+H+L0D1R/533mFNkWPsLFeADkk52fnyiXbyeL3hgBD +z5flneP5E7kev0tnUeQO4hw4rx6p6KGRDn5n7A/mg1LmyynMv+TzSfHMp+Tf +CUA+nvCjyfbufZZXOuyotwLGushxtDS2U+V8e7Oij4jfR5HtMIuy7mmKfir8 +XRifnFcg9Bbso/p7UzK/N/E8wH+xD6BX2f50V+zPC8q5bXEfq6rHyvEsIS9k +uzXDwd8mx3dsCr/yVPLCPJi+5PUSv+Mj55GmOYxL1ouTlf0Wv7sIOaCPS/zO +kax3m5Xxi/sFMA7si3xeQ/x+h6zvIe/kJvej3h8onx9LYfzGONRz1fo6ijiL +/v1wJf9J3A+lxk1kv2+K4hdOVewN9d7LVCWe7qn4Y91ZLgHfwd8BY1/1cbvx ++ICfwCusK/go8BSwTE8mhZ7EuWYZnwW9YryyXBF6jaqXAMa+qnqIqkcAlv1u +Abx/2C+9PtwBz2S/jvq7VjbeDzke6q3ob+JeLqwn1l2v36P4dxz5mpyHm8B0 +AViOKyfwesjxPvEc8lq+t91N0Zt8WI8AfoOO1TwcNe8GMOSZ/l0Rv5PP2SEP +6p5DXo+ax5NTng1g9A/9QP79qEeKXWh2yNuS7ylV7aoEh9/9Q3/y7+eKe5tk +f7HI01N/j/a/83dFPF7Nk1N/j1Tm+4+Y/8j3W5qY36txLdAV/JDQR4D/oCPQ +v4zHmxW+kKXQs83BvpHxWPxeGMqc2kHOyf7YLK4HPenjWcIl6uU4VQK/Dxjl +/2qH+YAPox5yHbAs3xMUPpDggFeol/NtElh/AyyfLwpnPEYJewkl6kEnKl0C +1scTqcAJDnQEGKUcz45X4rUWBzqQ41nidw7l80MiPibzXcd7fuX7gDKUPFtP +ljOyveyp6D8XuEQ95EV1Q86DXvT3fblEPdYb/A9+cv3921yq/nPsA/xBqEeJ +ev39++x/Qol62f8h8rpl/7PwW6BEvez3E/gpy5EEB3pBPfR0yBd9XczGPMTv +f8m/72VhfRClajfJ966IuIocT0lheQw/F/L4dHxEid+RzlDsItwfBT4q6A36 +1f8/uhTr8/+VT2C95fuwElj/kL8D/ujN/h19veHHvMVyQIdDuUS9nNeG/Gjg +YRSXqEcp4x3Oy4rzQ/CHoUQ9SnkeiK8mcol6+VxtEvuJ9fVxtCNRqudCsd4o +5XNuGco+R7I8BF7L/pNERY/OYPmo8wNX5jNqXq58nke9p029N82qyIN0h30C +jH0CjPHL+BOj6LFWxS8m7hMEv5T5gYjXy/528TtMkEf/fd+S+vtP4veYQN96 +ezeH+zvlcQUwnclyDPGYc0o85RTX6+2cFX+bs5I3dYPpCiXq9fZBTGcoUY99 +kNdf5Pnrz0W8BSXqYc/I8RqTsn85n9tD/jPiMShRL/sRgHdWpis5DiPulwO+ +yHRjZXwDPwAMeQQY8g14hvVXzwkBryBP5TjKQ+bfOp2IEvWyXSb4uT6PTC5R +D3ks59c63nsCWO8feVviXKG8v2K/ZP+ildcJ49P5Nu6hPWj0J2CU/3e7x1yP +9f5vvg4+Ab9FONuVwAv5dy5MrB+gP+wDYH0dxfqgRL38+6e3HfL89VLErdQ8 +ftl/DL+IyNPX5xXJ59Xl/PV0PkeA76JEPfQTfBcl6qE/4LsoUQ/+peIz8Bh4 +IMcHvVheQ3+Q86MTWM5An8I6yXkk4vy4nDcXwPiot7/J+gD0KeCjvk9CnqJf +OT8eeeWiRD3wCngGfITcke8VEvEvOS4m6Bj8Rb7/RdAt+LW+7uJ+e5WvQ3/H +OoCfVDf0H+jfsn4u7ksAH8f+gZ+hVPmwrD/HK3qP0JtRynxe7LPs507kdZb5 +j5X1XfkciPBzy/eEZih6SoZD/gPwECXqcxl/+n4Ke1ovN/N+w16W7XDV37WE +6+V4hbh3Bno5+Dnkhf5c5E3IfoxTxj5fYrqC3Jb9cb5cr7/vz3QBOQ59A3iB +en38IaznQm7L98U8UOL68dxOn2ec8nsAySxfwC9Rj3agS8hl0Dn4hOrXVX8H +HfQMWM6vTFD4v4nHAzmIcQGGnob35XPbCQ7fUe0W2X+foOTz5PxdjAv0CXwB +nwDegl/AfgNfVc+hgE9ifdRzM7K9naDUR7DcAV7q/Yl7JFGvy5lzDnk+Kqy/ +d8Uhj1mv9+F6WQ8V5xgAA1/jtIq7jJfqvZKy3Y/8IKGXqrD+nsgLlfmVsO/V +eyQhp2F/y3mV4rw27AP9e0JPkfMnUxj/5XuYUhU9WZzXUs91AJ8Qd1X9CsA7 +4Bv2EfuKfZb50Xlln32VvEE/rsc+YR+xD9gXOb4t9gX7BD+BfE+RwEdZ3xQl +6tV70uT7noScBR1h3dTfdUE91hHrqp6DkfNJPVlugr7UcxHyfT5prBdAT1DP +rQIPZb+hOO+g+uGgt0POoES9nMcszkHJeVnuLH/k/CJxT4Csj5wynp9gfQT8 +R86jE/aa3q+IZ0Fvk+Wbl+J3EaUsp4TfUi+FXwf7hH3TxyP8XyhRj3WR/XdC +b9HpMpH5AUrUy/Fk5KWlKf45UV/dkM/QYyEPobfqeO/E641S1hPE+sp6l4n1 +Eug5wHPME/wMsPo7SlhHyCP9+5FMj9h31R+h78NFRU/xY36rr1Mc4wHwQpar +4vcaVTkvx1vjGX/wPCc5jn5lPSST918+1x7oEPfS5y/8eoD1UtBVTusMeQJ8 +gfwAPshxcHG+V+b/4vd2MH7Y+4DlPFPVfyDOY4FvwL8Ff5f8+4VJip8tkWHw +CfA/8AnsC/AVeCyf3zYp8WncixjFeCbHZcR3cxoX2stx3wTmp4BhP8jxHZOi +xwlY5l8P2V7Fc32fzcq6iPH+9+9NiN9LVPuVzv8dMe4FzHS8l2CD1p+Qa7I/ +OFOx9yL0+sFGfOCI4zm/D1q/Qi7J/ud0HjfwWV4/cf+EPB+xT3Ke+0OHfYH+ +LPuZ0pnOAIOuQC/Af6yXNt6SNgO/oT9EsDwGPWA9NHwKxDiied0gTwADP8H/ +ZDpJ4/3AeABjv7C++D5g2Y5wY7rRpmnXu8BnZb/7CeVecuEHBV8FHsvyNoPX +U/a7i/N9mI+cD5yq4G0qP5fP+cUpctCkfM+k8HXQhfo7NZuVeKbIIwE/gRzE +c8C5pL+zihw8y/3L/GkJvw9YL32oyE9H835XyJcq3bnQ38kq8kXafNXpn/S5 +0cb8o3n9ygTsKd085AGtOT7ef/4B5GUIOeB1dEifQA97fZG8N957IJ4EP2ES +de6S0bdCNWHvAmb5ZMDjKnUuUHBEEr+Hfs8b8qdH+IQ8a11wz2Iyf6+zMQ7U +95rxd8Tpwin8HN9tcSb62ozWwp+F5xjH7Yive+5ekUl/GfAXo+uFTKhhpndL +gmZtvPyIDqyZNWzTpCSGQ+el5PnXI5naVCy7u63XIxpxsMF2t89SGe7zuleZ +T3b59NZon1Jx74lqWzIZntPO0rJzXBbDeO9Pox/UzzbajX+2cM5zz4N0uW9J +1z7Rh6lL5c/vVj52hab0CE/p3siL/qpy4myV2QH03qPoVY82N6nviZO1snwj +6Yl1VpXDw+z274TCHTOe3qeJl1v/2qxfDDX5tKPT9cImGlTjXNdRrU2U0eVt +3OoViXSrmikmsU8iLS/cYfLpuxbq7frdhIL7LZQ2YdrHOikpVHzLutwRZa3k +dClqy6vhabRgk9fGng3SqFFc5ZoVXTOouHu+ajPnZJB/rrGX2z630cHY7hd3 ++4j8Xez3BUOfBYwyp3b6uLKMcWbRwxUPfJf9uY3WLJt4Y9XQf6lRnZdza3yy +8f6gRD30wKkTa2l4xedVDTw4WuCUNZd7Bq87yse7whpuic3k/hqe8X568ZJ9 +3Pnb+uZzukRVoma6RJV25xL1k7b5fb/thd2efP9H5Q/1RIn6S7VSp9UqH0LV +Nywbs6H3HS5R32myq33/4uhD1Tn2/RMl6lMGP9fXzeA/t7T1NpOTtt5m2tta +L0P26fX6fluM/bYY65hirKsoUT930k/2/U+lfp2/t+9/Kv2m4UEqLdbwIpW+ +arDejgcZZLn7tx0v0rlEvY4fNgM/bDTruadWnugTrdVjHd8p663uw9AZqw5M +2pSu0GEGZc8q+e1J6maf5YqEEzTSu1H+X//0phYLtz8b0/w6l6g/2Wtgj4cr +Ayk5LKt9xxu3aHPu0CmLrVHU5eK+vxovj6JsZAqaG0vD/OptWFAmlr93K+Lz +5bG5TFTM4AdLr5X3u2Rf99u/UdGunU0M6/Rioj7aOpnouDbPZGPeokR9izlf +2+nFSgXLZdOL1di3NArQ9tFOT9p+ZdIAbb8y6ftlZd9P7Sj4i8rHsC4YN9t7 +Bh19lfhnv7gJYvz9Nf6UyPDNReOK7Aw4S9m7ePfv01yi3lVbvxtk0dbPm0vU +551+3OfmwSCKrHrlQ56HgVyiPuXOC49SRR/QsqI3zt88Ecsl6nW8MRt4ZOIS +9Xc0PLbSHg2vRYn6Zdr6pxv8SpSo/1Lrx0ZJWr+ZXKJ+uTaecLJq44lg+fq8 +1eWkgkvOcdzZ9+wiz+0WcS9By02Bw/rnEb/f+eyfzx9ntRS/37m3wI6K7RqI +3+/U5VMqldG+m0zJ2jgsXKJe7y/c6A/3wCXTs4puMxLtz/V+xe9j6PI+gvYf +I6dG9vGjHd5DO7wHfaBs/syvv1kl5oV5Qv7v0/p7wPPCPKHf7E/ZeKrCTeTD +BtOwnSXGuZ0MYj3gqTYOM8vpE2vW1+lp36+Gw8rncW4YSSEHLO8Hhoh7rX0f +hwXMPxBh+EUjqKymf0RwPdoNez028dpdcd4OemehxG5rKqaIerRDvZwPn2k8 +z6Q1n9+08+Xb5LNqqJ1P36bdL5tF/VUomMrNcjJ9FhZMrTV6NVMRjV5FifpF +Gn2b6ZBG32Z6lpzNR1PpxooEO18VJeov/pFN36kU45dN34KuC7Zcce/bC0k0 +t/KQv/PeEHER7Mvdabei1/8p6tEO9dzux1nBziewT7EG/sXS7N9PzU+387lZ +1/K+frXP8V6TO5oeJErUc16swW+wvjo+ZRj7LPyYOiz8+lhvvb2I57t+38St +Q5g4H7m83Tu7HmimsqM77K7jKs6V4LnPb9+1W+Mjzku21PS6VEN/E/FVPJ+t +zTOV6bncig1NbO9OkreG7yKOBHpe/2hDkO/SQKZfHT9M5K191+qQ9/OVNk5x +rrWIb6cKr+Zfo+FlJ/dKanZduQcwlvp+WWGgkzWGjqUlOQ8tI8576fOLpJTm +I9MD7HTR6ot6zZcME+eHsI516yScHjXHRku1dRL+wC1/3B3X7YPQR8H31XM6 +fTT+k0guGh2q53VSDTpJNeYt4gPLDDkRosm9VJYbRTS5mGa8J/LfwW/0fux8 +h4LfnN97k0Zo8vgWr3uIhre3aLaGx4h736SZGj1Z6ZhGT2Ldl2nztlI9bR3E +uQGdviwGfYlxhGh4YTHwQMTL8V2MA9/FOPAd9dwJvot+1XMS8neCqW9UYDfP +erc5r/d66uWlpZeLe7ESf/jl+NAy0YZ9JfJILxj2+Hf+k59ktRR2VQPt++J3 +LTxqd63UrkESrR8dW7vnc5GfDn6bvMtzVISd76Tv+bdl55472V4MDPt1Xo01 ++x3yxNFu0q4akacLZ7H+rcuXLPp6bTU7vYkS9WX2nIzIsNspKSN71yllxwv/ +CjcKBG3MIqsBZ/Usf+ZwVwFb/0e7+q9mzTjaKZP7G1w3rOLC3JncTrUj0e7Y +9RejStS0MTxn9d5rTSfYeN2xDzP7b22xZJhj3nV4i43FivuFcon6kwfm9bpY +7B55tmxZoebxaN437CPod/fBmn8EP42kV0ur/jiwXxQ/B728VfRK6GvYZ+y7 +Wetf5GujXrfTRYn6SiNGPM1wtdvPDXz6HZ2dxHgBPNlmvmTHS8e87Q6RF83X +7ooS9V1/23Jm1BzHPO637TbtquMqStTHT4+z80fHvO51Gl5mcCnfA+ZJeQZW +fHIq3YPWBNc5NHPoZaM/3OsaQIHX3NqNKx9AX7y+sqtbb3+Ok2Dfvux5b827 +NndpwJpH5kezQjiOBDoCXc3Q9vs+10do+3vfIY8b7bDuL7V9jKdd2r7GsV/o +kTZfEUf/V5ufsMdQj3ZFT1t+G3IxwQH/UQ+6BR3DL/6Tti8ptFXbPxFfzTVF +t//0dlk54j1glKArq0JXqp8Gz0trdJ3O71u0MoMmfqxvt5PCyb3rCLvdFE4N +mww8FmPXC1omtXndeLJoh/diDX+UT4OHR25NPc1yWPYDBtINQy53+zb3JKd/ +AqlGp8/vjaIglp8hhl4z19BjoI/C/6zLISG31XxdyHHIbfn8mY31Fugp0Fug +r+wfY9verfcd1s/naOMQ+XmQg5B7kIMTX7X5tVm/CKpet1DHjKfh3A/6JUPP +nGPonZDX0IOg90APOmHombMNvfMvQ34HG3oQ9B7oQcN8dD2z3ghd73xRt/hV +jzbBNPOU89kqs4O4RP0Arb2ZmmntRYn6IpqdkkoZmt1i5RL10Avl86lCT5y7 +/+Oq8EZerB9Bb4Iehfphhh7Vx9CbgAd/GXqTs6FHtdX0itt0Q9MzgrlEfZqm +F5gpSNMTRIn6qv2z19Ou7zzJXk9Roh561jJD74LeBD0qxpD/up9R5PtBj1ph +Orz+XRvck3GLsrR1sNK/hl6B99AP8Ap4FhMaMurUhmTq+vuGz45cS6YO2vfT +yazJ93S6rs0nnZ5o8xH5eTM1PMiknpo9nElLNHs4k8oN+GZg7kGHWs7wCKsX +02s2LUu5U8QzdASt//Fq5OxKi6n1oQkFbNZFVCMkqe3aruvYfzZCm08WFdHw +PMshnyxUw78sfg/9oB7tdD1KxC9f9vSZEWOfX//Oi/Z8+0eyEW9INvRdUY92 +0DshV3X/hoCtmr/VwrDub0pm+Jnm17OwXjtP87Om8HNfTT4LvXeRVlr5+TKl +H/BJ8E3sE/YNenxrQ69HP86avyvJYdw6nV+gsiu6ft6rtDs1KGLH8eLnub7E +kUfL1y05R8WPuu33+uI8563o+qYfDdfscJGPhDyVltr348hHs6fV/KIUQ19M +Mex0kY+j67si/wZ8DHxtxfDcs+oGn3fIq8K4MQ/U9zfGHXRYnwfiEvBLYNyY +B+aF+hdJ83dOsdfXG1l63X3LDY5TqHlTmCfmjfpCZVY9HGKvP9av9/3irR4Y +9CfijnE1/+37ffo5uvjhSqu3Q88a+OqYr4N60Jmar4N+Ox3M9lNlUrWW2X4r +UaIecQvEMbDu2AfsC+qrGvzohiYXRP4O+Cr4Y53bqxoN7BfDfAJ8A+URrf80 +LlEP/qZ/V+Tr6Hw9jVr1WNhhXPkQgz+F8Hfw3T59J4xc7XSJ4+pFlr78orif +yL+JM/SB560+lDg67jjtTfll0cJHJ4x4ojPzSfBNyHcdD02GfBN5IuCj4KvP +vQa9i36B+0L9afmhXktKLxf5NFg3rCP0H8SfMG+sA+aNdbj97K/MwfcO83gx +D+g5qMe8Wml4IMaLeah5RZgX+DD4Mvx0oA/45YDv4Kvgy8MHeA/NtkNgl2De +hbV9iKTcFbPxP4Iu9czGf1GiHn4E+BXAn5po8RQBq3wTfBJ8QteHUpiOQFeb +24ZNWWyNoC4z9/7VeHkE41H9dU2/+3vvXcPvnyjiZxpfTVL00kTWL4Fnre7G +1d3jfIXxbIW27/G8H9i3SXYpWbjDGZoam9jH9buTvP7Yp84aXZoMOhX5Hclv +SiY8mhWgxCfEOJKNcaYo44SdV9qQU5jH3vB6iYs+pnH7oIKr1gy6nMbtg404 +A573bVtoty1GwMtm/tnu1hZhR5Yy/PyABxh+ftkuMDN8V/uegA9o4zEzHwdf +59+3Mfx/GJf6HcCaP/RsJh3M1lNNmbp+OCadimbrhztFXDTI8CfhvcKGXE81 +5CDq/9DsFIvYf2Md8RzriOcdtPhnBOVJzY5/RhhxZBuPH3FA+C/4/iDjOexU +tR1glLAbAH8y7DHEDTFPtZ0aF0Y93+drjAPjwvMLyjxgbyJOhn7RHvo3StSD +vhHHRn/gf4i783cM/iif7wuiBhq9BnPegO7HwP3dZhHf1SrMBl81Uw3jO7p9 +DHvXavDZVPZLwU+FecMvhTgw4sKIAyMuvE/DB0f790vFT4V2sKexz0s0uhJ2 +ciHNThf2LO+T8h5gvNdbo1fhn7qt0Zv4nno/APIy4N+AnwrrizwN5GEgLwP+ +CviNsI/Iq4DfB34g7CP8PMAz+HGwj/gu/CTwm1SvWS6Pc8P7FBuT/H5gyD0u +UQ//B/ANeKrGreE3KWL4QVob/gOd3gWfQz3aoR7tgEfAK8S5EffGPliVfUA/ +2Ad1/4AHKQoeoB3wAM99NX+msAOaaePOoEla3kWYkYcRyiXqEYdGXHpjJ5/z +N09EU8yW5x6lit6j+1r5yKh/yCXqsc5Yd/hjko1x6HkbSZSh5XEkcol6PW8j +iRpreRxJHIdGXBpxaMSlMS/MU/ZHpRt5J7HUR+PDsYY+Js5vwm8EP5IerxLn +HxGHRVzWxeX+rZI/n+E8sqAvq2YV+SqI+ZCuJ4s8rD80O1Wcj0XeoK4Hit/V +1fUhEWeFvY1xYtzIQ9T1dHF+GeMCH8R4UGKciBPr8wviOCniBOCLGD9KzAtx +ZPizEFdFXAB8E/NFiXVA3Bn+LsRhESfAvDBPxEERF9X5zW0j3njb0MuDuR7n +Medo+qvZ0KPEOU2cx9TtpVRj/OKcpo633tRXsxuu0wrtu97krY3D2/CXifPe +Dwz/ccizGt7Xs7y4Xm4Xa8TTBB4CL3X9WJzrbqnFcdPpcy2um274CR3PL6Me +88Y6YF1Qj7gP9leOc4r1wjph3VCPOA/2F3FR+P+wblhHrCvqEffB/iJOCn/g +sUHdhv/02IsaD/lm7rT514z3RbwWcUL4IfX+xHnWgkacEH7Hi4a/vp5GB+L+ +Nh0vxXlV9IM4HeJ2oHvwAfibwFf0eKfYB+wT9k3354p8YeTJIW8OeXLIm0Oe +HPLmamhyK5Tcz995c95uf6BE/Sct/8puR2n5V5GcR4e8uk0a346nThofFyXq +kWeHvDvk2SHvDnl2yLtDnh3y7pBnh7w75Nkh7w55dsi7+ybAaf7Y1dPo5fbO +6x8/Xk7tMj4cb9VqFcf5Fmv5XVk0RMvvyqK5Gv5lGXZ5Fr+HfvAe+sF76Afv +oR/kWSHvCnlVyLNC3hPyoKCP5Hk7/0Bu+34HK3Fm+NehjwJG+3OrJn1aNCuZ +3lV0edzweDLjn5yvkMLtVTtW7Vf1G0KuQ85DzgE/4bdBnirGgXEhrg97/EaD +auEjB1406MadNp6tW/ac3c5yN71sYBpwkVw0fiHOF278q2XUX4V8qVqeg6bP +7PXwe8EPZtH6x7nVOIrR9LEHVFXD3zj2c8HvpfMdEU/S8TLFwNMUI78qmW5r ++VXJtEDbZ/tzbd9FiXr0o/sv7HZ/hSVjNtj5cOie9Gm1yvsYclTcz/HVD9n+ +w1ia+zTbf/jA8A+J+zUglyGn9fhFshG/gD9MnD/taJTHNbkm7jVAO7yHftAO +7yFvSpcrEbwP2BfsE/YN+4B9wT5h37DuvA/GvmCfsC5YJ6vmVxDnDVFi3bBO +WDddjxHnDVFiHQM0/pJJaRp/EectkrT1yKTWmp/EjfUY5LkhHod6tEOeFvK2 +XLW4i7jPocU83Y9zoKXu10E92sG+0OMnokS9nq+abuTzgZ+L8w2oR7vemnzC ++XjRDu9h3lgH5HUjzxvrgHVBXARxEsgRyBVd3mXSOKMf5I0hPgi6AR2BHkBn +oCPQld4v7qu2sR4DvQZ6D/Qg6EXQc5Zp+y/OZ/bRvp9ODbTvpzvkvev6nTgn +gzgR4kaQq5Cz6Af94j30o89L5BPoeojIF/ioyde7hnwN4RL10K91vA8x8mIz +jLwfUaL+d41uM6iORseiRL1Ozzjnk8GlRdvnDIPubQYfECXqj2nvAx9svK5Y +55Uafpipr4YfokS97s8V95G00uRaKhXS5JwoUa/jP+5/SKUH36/u+326B114 +c73V2+w8CKPkeoP/HHfZsic7T2KCpn/EG/pHHJeoB78Zpum5cRS7/8jdfWOP +0/pWJfe37n6Usnc92+/53vCDumr9nuVzj9DjoNcV1PhUIIVofCuIS9QH3KrT +9O85QYb8DDT0Gug5JgPvTQYdmAz9Evl9JtYTIad1OrTSUm19RYn6zzV6tBp0 +bWU9FnqtLWOqS1TpazTP1sE3n51uUKJe189xHv8aXTZKH42/X6W9Gh+LoeYa +XxMl6u9o/DCGGmj8MJZL1Ov5e+K+NZTeWjwqhi5ref4BRt6/P5dcb8gT3Z7x +N/Y30vAXiLyiBlrcJYqGa/pVJPlp+pU416rnG0YwnwHf0fVmm6FHixL1On+w +GfxBlKjX+Yrj+WM9r9TGfAF8YrhGZ4lUX6M7UaK+nJY3kEgpWh6BmUvU6/xW +nFNGuV/DG+HPAh/S86jTjLzqVC5Rr5+LSDXkiShRr6+TOOfsbpQ63qYZ7S2G +XBIl6vV24r4l5D0iD3KVxtdv0Q2Nz9+ifdo+i/sAUep2403Og0RepG4/Wclb +2xerse7ifqBYo9T3ycp0Dz4A/+qc/R6Dm3Q7ynQKuoV/TtefTAZeWAw+ZjHi +Z+J+IZQ6X7Pw+DEvzBPzxrzQDuPGPDAvzBPzwLzwPYwD48I4MQ60Q55DBSPv +4VDTe3Z78AKVbpLXbg+6sb4FPax8vew8GF/qo+XF+HCJeuhb0MN0vvDA4BOi +RD3HdQ1/OJ+jNuCyGl6mGHiazCXqkXcBu1j1Y+l8QOhd4OMrhnc8Eujmwudk +cG4G59R1PBfnVnCOBeNS7S7VjgKMfAg/I29CPr+VrMQBkBcjzn/jHAHiTsj7 +xzkA6HnQ+3S/y132k4PfyONMZL9oc81fmaTYb+J8jG7fJbI/E3qAjv82luuF +Nbkj7hvT/UGplDLn4svsPEbob/W1/RDnx0FnoDtfIw8OcfCJhtx8qun7t5ju +QIfIa0O8GPcM6fqslVpq8fgAltdzNHshyrAXhFyAnND9LEJOII520DjnKMeP +xDoBxjq2NNbVKvm/cR+wxcAvC8elcC5SjmelKfgi4qF6PrCwu2dr8UsR98O5 +LPTH91dK+CviCM5anqSIdzbU8iFNjDfAI/QH/xf6A4z5PtbGl6jEc8zMV8Bn +dPw4Z/R/nrK5+Igdxyibq/ucc+ES9Q2KbCt55NuThh12gvFA9lOYcpx3YY0f +mgx9U5So1/MJxXnqxxqfTTbkvChR31zjv+K+ndJGnBn7inXJad1gN8GOgn2C +cyh4b6zhT8R7gI8aeVL4HvyJcnzJIuavxWmSlPhOGq8f8CwnPFTxDnwVfFaO +/6ax/7JHieJf5u65ie/RbHhn4j+jC3SkQvcOT2ld6J7D/SXnpvTtdXLuION5 +Cj8vk/p954q/q+foo6lvnj9XXt/jznkfJXN3/VTN1Y3opn/p8U3MnB+i0+kj +qtnMPPGbmn405Mcfql78IZDHCfnjl/+1y+jct7n/MVs7TdxwJZw++zFv0qmy +4fwd7Ncl7U/c5z/Dq/mhDnnu8Tg7929nfhz7gAKGHm5T/ONJHkf+fy8XTh0r +7vtvuXljtc+b+3BeQbOM8U36fy/u5y94qqr/wUpmhpNtBa9dzWXm+0ggB9tO +HrqyRT4LvfqUe+vNZBPPyzbdutJSw43HHey69vbjZHE/f/TY0p/1umsSz2dW +y7/F2crwu53OJ/NeMfE8f1rRcXKH79Id7vP3MNe+Zq5towoNxqa+bxTN4+rc +vHvW04GZDLcs+O+liq0eUaG1n5nqTTtNe/9t81uPv9LJxXy3mbWuGw0/cTQo +ul4mrf524bOPJU7Sxv4X9jz42Uz/Pn5xKVcrH+o3y/RgfvUkGh6/fPKrTd50 +bOqsL/t+nU4lnbb61m8UREUn581PPz0g/7hHXicrh5PLuy/6Ol/JokKj3g27 +8ls0XfjR72SFr8Ppvb/1xSl7O4wD4yq2/nZk+sowmjt2afubbR7xdzGOfGfu +zSwzLommrfk36enXZuoXuHLwue3J9MOiF03G5jVTgHXIuhB/KxWftzhqWJqJ +x4lx4z30M6F36P4Vecy0ce8I37vbknkdsC6YF+YZ9e/tpu3/se/DX0uPVvox +nUvUY56YdyvX3LMem9Loz+db9jSfnkXulZen97xso3WlT3cyzT3C++J0bf/3 +zZ1NXI92O7zNrT7c3cPtPjy74puamEITU96deBJu4RL1wMvD1e5/2/2JheVI +wXNffL6yrplL1MPvFRU+68+Gg9K5lH/nz0a3N3j9WHZDJpeob1zq4uC3X5+i +xAqfZm64cImahI7Ls6+JN9lmf1vl5GA/qvhd8a5VanpT27+dJv112Y8+v3H/ +0cIWUTRr74Zug5+E06jR2X+x1KPAjN8KzIijoe/P9t4/Ipayvnlr8XGNozlf +7nC+2SiAVi0fFOGVeISedkjqXWXrXXpd5+iP03/2Yv/IL95dV3w1XuS/3/s1 +cUv9L8y0x7lGfI2aaTRr6JbLcVssNCW27bGi09NoXY3rA56utTCfGv5izsih +pY/z72kcHNyuY4nYq8wnKm1447O9WiwVGPat+VyCVeijxr68OnSqa7nb4nfb +V526k2fX1xlUxO/pxTLTRN7LqZCXwyq4iN+rXBd8o8aowdfpWbcnNRdXd6H+ +x05Xmz7PmxaVO/9r8sITlNtl5PjRMSH0/a5LC/8ZuofqDy73vlZyKP2w/f2I +wPrbqfuuOJdvDyRQ0wu3Zl474EKp16bVCrTrAQuOnujVpfxBGlHgm4QZJxKp +fLPO/44tv4++65H83fQdt8hnztIbvpZrNNbpYf02T+120aO1PxwfeY0mjB7+ +qO6rCHpT2yWgS24PSg+d88/sBVF0dcfdeW+8LtHoBfEhST9ZqPCBZuHj810n +z2F5visUnkI+XquqFfzoQR4Nl6z+2N1Kn74dssHnxWVaaewb9jH5ZsWgyeZQ ++qJWo073jgdS+06n/2heOYZc7tkSPUMC6Enb5AJZdWNoZPEBzS/cCqD4xoN7 +LX4VR7uqVl/kMcSfbvT23m6OekhF5t8a+cc+P9p0f+7iub42qlZuoOngvADa +WS0iuF/+LKqnrU8ArxvWEeuGdQQeAa/ODXpY9kaHROp9OZsAQylttHunl7Mt +9LruxzHjC96l+msu1TxfKpmedfhQ4dC6EF4nrBvWCevmbceyGtdv0YGI/C0m +HozgeWLemCfmHTLBuVyuOw/JpVrpF+4tYumLsk5H/8p4SE3nLjlcq1ks/fBj +9l8i7dyV/RdD0aOLb+5x3kIVTtzbNLdSDF0c7Gn/Z6FLmyp4bKoQQ/UfBH+z +yzeFXDt7rfFzvU8P83ZPyGvfn5Wrsv/u05h6r8sWvp1Kz48u6ffH9/d5nbHu +WGesO/AMeKfNKn8sjWuzaN/U8wmMd8BD4B3wEOuKdcY8MC/gFfAM6459wLpj +HzBvrAPmjXWYsKhLy9LN7Xys5KRlzkMt1P7M5tZXP2TQrzPc+4z5xUIRCeeH +/vybjdZ231D6fG0L4zHwGngMvMY6Yl2xjljXx4UbtMl0SaNkl9b7An2s9I99 +VUKP2KipxhetvM5Y967pbxKX2fnSpEbrCobUEHwJfMo1Zsdc55FZlNT1XJkF +SWk8D8wL88C8qoVsyFNws5U+zP2sSrtcGUwXoBPQBegE88Y6YJwYN/g0+PY/ +NUM6P9t9kX77edUlV9spWupaofLPFy/RzB9sJ0ZVOcX6VwnvXru6NzrDcgBy +oU6Ma7F/7XKg4MZyaR3scgH8d3++nx//sM2bLrxeuqyLRwhtOPPkj1y1gqi7 +IRdGG3LiWtcRm7LscqFOzXKfgkbEsl6Yb+3pwlXnxJJT/Y/N9hf3Uu5VDKCa +/RffKLryOvltiXoaUPAh3z9X4PNW1arN96Ux7qWjK5c7RpOXJUamdYmgKXWL +t3obd4ve3WgY+NPMBKKvVj0oVyKWQlrkmhdi5+NPl24+UMa+zsFlFlbsUdBG +c+YerfNTxXTK//5cg8BZNvru5w59SxZKp9rvX2weMSSQ7W3Y4bF/+pestf8s +6511iowtOaXGEar+aG3/ktfN3B56fWav+Wt8r1xgvW9xb5e2KxcIeyxz0Vb/ +i418Wf4HjBww2S3Dk04nFr/zQ3nxO34v/yl2+urGgyzn8B2ME/rkw46RLqUO +3aSsz0b0HncrldtjPGVnD7l88k0Qj+dk+z8C43ffpDauJ3ef7HtF+V0HMzX2 ++jX0C5dQqplNTt8msb8EesSOV936ux6Ipp//Gn0p7Kk/7yv6CSxw9sdJX8WS +b0i/I13Gh7PcR//R3ge+6e0Xw3p6wvl8btUHxPA6Y90xX6wz1g3rWCltUM/1 +q7dxPxteDuow+vxd5fe4xDywrljnsiUP9OptE79zlrG+a5jvw/sMnz/28tey +jS6xfdDxeprls773GTbNK5Y16oyFYegZ0Duw3hua1Vt2qq/4vdsGk++0rlnI +ynii7hPghaNzdaz8t7i3v/dPy7oFNbdwvyNeHGu6q6w/94t9wT5BT4HeAj0F +egv0CugZ0CugZxw+OGXKxNZRdLHizu7uDW+xHgC9oP+5OV7hy0w0OjSkfilL +DGXFFRk8/KmJ1lbZd6lseAzLRchJyEXISfff+zidz5VJm7/0mf/XJCs5JRQz +L+6dSQFvj60d+KeV+TL4NPgE+Ab4BPjG1LC3rxaXjCDPP79uV7qp+J1u8BHo +ddDzBiVkCwJx7yX0POh9K7elRAzddZqspVYUe/3wPK096PvwYY8gjkOu2r3g +eOrKIKoXMaTYst63qeO24iffzQyi+x4D23zjfZsGjpnkcrxcED3+3n1/aqG7 +9OF+lyMujcX9FLWWfvKruCuZ3vhv/qPOGwu9q9+xlWldMt1LPl9m51sL/V6t +UqJ3srgX/JUm36y0412GndJTqf/xhmfCbHb+/8Q3ovziVLrZuv3wew+sVCJ0 +tMu4XGk06EPHm+/t8IApW7Om8O+jRtLg65FnwybcYjr66srbj/7Pxe9ZVNk9 ++Mmx+VamY5k/xJLH1fz/5G8fzni6t8hcZ59YE79f4IvG9cf7mbie2/12OGRp +tImWvbb19fdM43Z4zzv3mwobr5vo6Xjz7vgKmbR7xcL+41xNVHBEE/8OI7Lo +6uyU99dcTLSmXOtfI+ZkkfOhjanPi9nl4CpLD6+gYxQ+4Uha+Yx02jmp5FLv +IBONrLTul19KZlD46/YeNQNNVOeLat26dbJRwYCN3+a9KPrFd9AvvoN+0C/6 +Qb/4LsaBfvEd8K9WNKhQkVpZdMPzh0uTEw5y3jfq0Q71aLd11Rcf6gfbxzd4 +aUDn1/u4RD3o/vuoSgPP2O1OrBvWEXi9xLfGoM+vmJguQCeBl6busJhN9MWn +dz+FrUmlZ3sa+NR7ZDLKVMZL4CnwEniK99AP3kM/2GfsO/hYnnKbXs66K+7z +Ptr6aL9yPuL364YsW72l85ZwujJ9S9m8/R5Sh7UT7JZzGOsp0Fugh0AvgV4B +eQT/5rY+j/5dWdLGdjvWbXXbmJ412z+kyhuv21fsLPVff/6rLpPT6Gopv8Dq +UUGUf4pl3YhcWVRm3M1CyzZFczu8h3Z4D+3w3vWdbSfGDIim1W8SH1wODqdO +t10vN2odTeO/bBM//244FSi6InRYwSh6/XRO/QOvwskjalGUK92jbetsZ0ec +Cqf6rbpeme9yj4ZbP95z3h9OTkPS4wd+uE/NBi35MGRKOK2oMc5nSrv7VK6r +W59ta0QeNPx2lr7Op6pOg/wNdPCTqX6sLpcfrZnyMZ3Pvat+rPURqQf+2J/F +fk/VbzXn0JqXY5KiKXX5mN8XPm9HGw65+UZakun9+TGny4X0oZ23I0qZFj+g +1fNM0+7scqOKd4ceijqYSk0Kl+pDtd1p0vZf32TGp9KJbXUHxThdpHHNv6z2 +x58J1KzQ/sqHon1p+qAGhTfEJpA5T/k1Daf6UoNTA48U/SmVFlVt3/lISjB/ +F+NYHPf3/Ya3Msk0ufe68h+j+bsYB/rFd9AvvoNxYx4YJ8aNcWLcGAfGBTyE +XxTrJfv9cuVS/bzw61YpX+vjmsUZdG/lZxdfD0mn1/4eL/097PLpx232f5nU +J9tcHWAju/Fht0AyyeVY8WKzpp/ie8xHvPKNylXXm/MCdPwIogOlBj0uZrpD +3duX/H3uyFjl3tJkWjvWPcL1s2SaXCebA4h7wFrO2fF+fvsYWl7Y6+fiY8JZ +z3D5vF/FxXcOMzz+9JY3mWdMDvUlr/wSU3XyYSq245c9dzJFOzxHPdphHPLv +Tlt4XJArnTy7ji+3Ufy+elrarh/zmMLJuVzfl/1N4nfT2q1vc/RWpVQaHR0a +WOKsxUGPgzzMMyA5uPr54/S82a4ql0ccYf2i8ahPJdfkO0KPPhQss7LrTdrx +856wzMperGfef/52SVRuL1rYI/FEgRqhNH9tzPG5PWPJ+erleSFt7Xrx4TLT +vafeYjn8NKJOA/8fb1H79y1M09tEUfC9g/8UDbpJJy+/jqg0Mpr9fhd/eN3j +9qYYHhfGuaL824HX/jpGxw4dsLjONFE3t/6ny147QhdbrvotqoqZ1px5bf8X +w+0PdWxTc3FyDE2fcO7S6uV2eWfoaY8NvQ1xugn1763eX0P8Lvf1Zr/s+cX+ +HHQ/ts3V2a8jTZwH57P762nf2uXN6brt5rwtamY9uF3j3690KWImr6BDP7s/ +s1D/rNMDJjwzcb+jlze59DTLRN8eKPmg4UAr44HdiPG4W8/K/ff7kFTAtV06 +PYo5dX9JrjNCT5mw/eOzXSfpaf6nM0NKZNLwKs2OjPrHys+XdmrT/Gu7Xnls +Y+jQsbmEXnnY0DPxHXx39N0hP+79zkqVWzdL+zxfFvUt/7ftfGErnbCsL/Hr +8yz650bbsaXepHF72Pmw+6E/eq/Oc/nZBRN1WnAuqcwvNrq4uHsFqx3un9Rg +mGekjYr2KlLmu7Mmbqf+rvvTXWMudU+w0Oat51/c3ZxC1T3er3z+wEKJO4N9 +SyVYuF3u6IK/3/oihS7/lFS6SbqFnu/u0fhGmxTq9SqyVJjFQlEv4yveHxBK +zxcmLGkfHSj0v/vtd77KH0GtY150DV6TSHU/u1G1eB0zdUn6qsy3DxPpQcFh +J36tZaaCrwaXCFmYRrsrHD389JaVbs2fmfvciQz6Idu90i+d1s3+/db1jxlU +ed+xQUmd0ml7wQKNKtjHkbC79vxTX4hxYFzwc8u/C2OlOs9X0/DrFqajieVe +bO85eRdla+013wbTiUZJcWPKHKSm74K2F+sWRrPOn5mQGrqV59P6UY/1OyYt +obp+bbb3rRNBU56dX/DN6HU0e97wDoWjI2j+xXL5vVaupB7Lf1tQ7040vQwJ +/XLqgl8pzyVT8/ufR1HcrAe9/RPnU3YUat6aBHLWAlIuTH/T1i7NV6PSAdqT +rXf/mER1dlqzRl7cyXj+cm+Jo1dvrKTEwT9VGV3eQo/7V91+IM8m2pV/fK2p +TSz0z+65gZ2LbqRX4SOGNQ9MpkVXd8/u12gEzXQb9LBs7mQ6ardOh2xYwvM5 +1+BRo/ErL9OF3X8OKHwonHo+zONbodgVmmRu5PF3XBR5ro5ICpp6ie3qAQsi +mwxxu0ATs8J77PS+R5Nq13oZEn+Rmoyp1yp4xH16EFoloO1vF6mbHQsXd39A +N7PVOn83Sn+XWCDcKYYqB3dcX639BabL1gs2zKjo5EEtLDMWfXfFSrO7v942 +pfxlimhT/Mm4b45R1fS3qS8W+PL3H2QVzvj7dgB5XO7oNKPIA5o+dX2H9LIB +rN8t9zNdfFXan86ua7hw4McHVNin9+Rvr/hT3ZdN7FN9SKUHdSl3d5cf01VI +ifp5fh4RQJOT/6kbeDyLphe4O2HzAn/ed+DBvFMJpTrNvUq1fzj26uO025T3 +Xde/dnYS64h9xr5jn7HvWEes67jQlFeb429RRt+7PzTtGkENz/XY7XbyAs8T +64Z1xLphHTFvrMOkGlvs/8yUe+tl+78YnifmDTwD3lUylahsKhFLfx2baf+X +QPuOPou4XzOFTmQ0mOHxwUR+dV6cXnAqhfr1bNPu8EsT4yHwstSSr9asWL6S +8RJ4BrwDngHvKi6xdr9YwUw705+OuXw9iU62+OhUpoSZVj4ZvyBkgYWajBjX +ir6y0pHW37iUv2Oh93Q//55VVtqcNGXtam8L89k52W7DPna679Joy1GPdBrV ++fHFjL8sdGLuqlFNOtj1Eq208P7qcthCVVL7dJjU1kaX7pTd0bmuhSacbFg4 +dHEWXdo7rNyc4hZqEHcwfceQLNp3qf/AaaUsjIfAS6wL1gnrgnXyeDTerfZn +Nvol78UOv/1ipe4dXMuXmG0hz69HrMqol07Xare1NS7jRs+ibGeeT0unGndP +7exY4yzNePj7qDvdMnjcmIfW3M6vCmTzxU/pjJfA06z71X5v+LWYJ+aBeWEe +mBfGhXHCLwk/ZcXPPxa6+rld77s+PnnaLBvt2jDwdJ2OnvR7vu2Ng71c2S8B +PwX8EvBTwO8APwT8FPBbbP03qFpP79v02V+LN9WZFUR5Bp/NN/hsPL090sP+ +L5b9FPBbjLcu+HlC70Sq2m/Q+5h6Zlrb8G2l51lm8hz2fe39jcw0JDtMc8ts ++KXF7zvCj1Fo6YEW2X4J78dzn0T/v/wS8FPArwE/R8X68dXzL06ll5auua7a +RJ5vr89KTTlzV5wrq9+9y7vyX5lp0frX91YttNCR6DXvw+x4XGl+9JOIgfb9 +br4j1VzKzHI2T7WBtukl0unOxZ/n3HC30b4aU5+Xy5XO8UPkIeTR4s4J7HeC +ngW9C3oW9C7IKcgtyCHIJcghyCXwdfB55H3Arws+Dr4OPg6+jjwO2Bngq8xn +tXM7icZ9yzE07OY3lyrOTKI72wpUTx8Sw3kemDfshBVRnZrufvKQ5TTyKKCn +QW+D/ow8Csg9yEHIPchB5K2gX9gp0+1a1qpuQi+Hnn7m59RBW09bKO+3TwfH +1EllPQF6A/Q06G3Q06C3gQ+BL4HPgO8gDwR2GeLK8Ccgrgx/OuLKWC/wRfBJ +8EXwSeht0OOAt8DjlamR0/K5mtjv0/xVTD4/ZxPdqVDNztnFPZloV9g01bLM +bKMyY78hvzOiHd7zPPvi3Z1AE/s5O14IXDsrxETnNyx602t5OrUr/MWhr/zt +dkK5Fk+KLsvguATsfOB56Z0balb4LZPeXim/dsSBDOrQjSKf+5oodHHXUzvq +ZNLLoLiwhGsmCm8VWW/t+UzKN3fXydpXTPQwd1Clg3EmqvyxsfmPamk0t/6B +V0/fYL+SaV+tpdXjn1qoz7bfH3QNset/Q/Ot9h2fRh9LTRs5N8ZESyuPOzn3 +dRq1XNfhT2uEieb+MLB+nj52fvhHcLkNocJ/BL/4qJEF79YuFUxeseeHvX4o +4iSIm9xofi3fgs/C+Rwi/B+IG0Qcz+uz41kSPz+0+XiBN8XC6avJ6WcLLhdx +EcRJ1vS0+e/8N5rxFviPOAHwGM9Bl4iTgK5AZ8A7+PHhp4HfBnEd8IPjC5of +ypd1lp48+ftc72HxtL3brWm1nc+x/Y79A99CnApxF+wz4gjJ43+7lt9iIp+q +13Zd7ZXKdAU/EOIWeA9xCzWPAjDsQ/iJ8B787DEeHTv4XRLnn6A/FN88pfg/ +Jc6wvp2W9OaPaS1usB7zx80qu0c1usbnog8O8Dhjdg2ipxWa+g/tE0a7jnZp +992yQLpYPnTdNbudncf5qz6/Nw7k/l8c2l0j6s4tbof30A7vwU6eke12LBbG +46kU1qjF+w6hNK/HptNL/MJYr/3J8Et6Gn5KvId+vp14yqtkcig96Dzv2J4d +Jrr9+HKRDcGhVPtkRuGhiXY6WVC77PAaSTTVudJc32pmnje++1vT1e2GWbzp +e7d9WccCxDjwfGjVi6XbtQilgp1vjbq3RvgJ8Bx8H3IAfB9yQLbzE3kcGBfW +Hfvw86sGx9o7X6U5P9VPyfhgoYp7e94o96UXFX1SedDigGQ6s71BhcWf0qjS +3ymrhrhbae3xqn4P+qbT5P7xLau7WNlvADwBnYPuQeege/SDftEP+m1R6lSF +XwZmUlJjS8GPzdJ5n7HvB7rsfbl01C2quGjJhZDnGVRT48c3acOqSR4eM4Xf +An4G8DXwOfA18Dn4IfhcpPFdjAP8en39nrkXTs/kEvVnfxp77qexmdQxuziX +Rb1rVE5JH5VJzybkH+F8TfgPvndbtCH5tDMtObRh6sYFNjr67OwK84GjXI92 +qEc7+Bngd4CfAX4H2+97Xi5e5UmfFQgs0e2wK8dDO71oVXnXKVe2v1veTGi3 +/Wkg+w3gR3h5qNfQgh4R5B28auCoqhF0ZmNYz7oXI2h1J6qbZIdrVxyReqCc +uG8f7fAe2uG9W2u97P/iKTOyu/1fLNNVzQFT8zax65/wS8BPAb8E/BTw/5W/ +frNFsTArNfEvNqtxnjS+rwJ+C/gxqjjX6bU1bwa9H7K77i9/i7wv+feqM2jf +uB9D945OZz8H/B7wc8Dv8Sn22bHcRbKoyqT9/3RakUm1FpwNn9vYbr84vRl5 +YEEm16Md6tEOcqDThYzu37V2pmld2vyZZ6Q/hdR4s67oxqOsz7dt4vaNywcv +enJ609V5v4eQaWi1ea+8vFi//jk7HeqAhbqmzU07HppK/95++rjoPgvT2dy/ +R+R7tshCs1LiO1xwSaP6fT3eVVlhob/3+h83v7DRFK0Ufi3L0Lpu379N43XC +uun76k3Zq9Eo6QRtrXMjq9j2G5QY3a3nsEPH2Y6CXQU7CnYV5NuKV5f2uLpd +o8UhE2dsr3GTxrV5sOT0+Ov0zG6FNloeRPVHbLv1rt41mn/tQtkB3c1k9sq2 +Y30o21v3TZNE6twg7FHgXzdoQS1Xu8Znn6emeF/ne7cPP3s5b92WQPJeW3XD +gCy73vPn7iINxti/O+Hhzz0KZdDYDvuH3e0WSD+GOj+sNmAX4/2Jgb3i1y1P +IJp65F6hNmE0trgt1W1PAoV/Excxqqm938Iltn672Wzk7YQyX+y08kDB0NgQ +ahlWzLmESxIdelT0bfzBu9Tp0Ye7WycmU5eA1SP3dg5hvS/vvuwMmzs0Mt/+ +G1uHpdC2L2fn773kDj2d+slaZkkKFcma3LT/qDv0zLCDamv5C7cpcfq+hHe9 +rPT3msShzh636WiVlDaeiy4rv08ZQCk+N798+fY+Tb5bvef+pjc5rnbjWWj9 +X28HsD8Dv9829Fjz3481j6W7ReNDi8Y/ohE/1Pzzh5qxPL+RtbMDgDHk1/8f +//5eyXp+T/J9ns+gUb4lIvbfp8+3bjY1zZNC2d7eD5H3aaBmD1ppwsHshLr7 +TK/3FhW9b/9HLmPcEqvvTaUlKQVLT2x8n272zPe6sC2NYpuenO8be4+c3+Sa +GXAnjezMzM7R7jFfb/PyT3r55z0qlOrlvzEkncqGz1lbZd89at8h+y+DZml/ +9vk6h2+cdiCT8+iDbmf/ZVD+7DSl3+7RzY63i9Uv7s98Z9TKE8GZX4RTgT5F +nTKdH1DlrgXTv4oKo9fZw2gfz3gBPAFeAE9+TSv05aV7h9hu3tn09dKtXxxg +eQw8Bl4Dj4HXwCvgGfxG8CMBz4H3wDvsE/AOeAi8Ax5iH9Ee+4h9rfumf/HI +vR4OeAoYeAq8BZ4Cb4GnwFvgKfAWeIL+gCfAG+AJ8Ab860SesyNPeFoZb4BH +wBvgEfAGeAS8AR4hToT3wRfAJ8AXwCeAZ8A74BnwDngGvAOeAe+AZ8C7d2mZ +B//oK/xmm7rtKTVzWADzXfgzzDMj9v100Mb3wQ6Mf5t32JYstisQ54P8QJwP +cT3E+WAXIM6H+16vZ+fD3HKhXf23Lh52PIACIqZus+y6buQz+jOf1z/nT/eC +qx3e+fi6sW4P6e3YDu/GdoilK7XmvTvWz5dauhxtcqLpMVoyoEt86b9v03dv +qz/6e+ZVqm899djjxm0asG9h1Jv+V2mH4WesZPgdH40NGNzseRLVepd2JKis +mb5/OXnf2zeZ9PeqrcnrKqcLeyjbrJ/lxHYP7CCcG0E+AOYLu2hWtp9zuJke +a3lxh5kuQaeQ+zj3gTgS4kqwg2FX5f/+ud9aUyjrTZA3+csHnHnT3JPtLJxT +gd4OPR72J86t6PnGSbze0KuhZ0Ovhp5dsfObwk2tyVRizZBluSM9OQ60rPiF +a6cDrrAdDLsY64Z1PJtZ8Ev/+vfIZWKTaRWX3WQ5AbkBOQG5oZ6DSckaedGr +YRo1zXZzFQ9m/WPb9FobfecHs54NvRt6NvRunHOCXQ27G3Y67G7Y4VhnrDvW +GeuunhOCnQW7C3YW7C7YSbCbcC4K9jXoC3a+X4nUoa5LbtJVGrGmiH3dWnw4 +uvJV15vU+vLuMi1v3aMujefEDfSxUdz7rz7reEKc60F/0NPLnQorfyosmtpv +2f3FsDHhhjyJoZ7Ti3tO8T9M63dF9UkdZqazcQkTrhfxpR6Lgj7N7mvi9YGf +on7av4sTr9+lM3le5m2/JImurfesU+YL8bvF0Be//HdD27TKKXxOC36Kb4tf +27uy8QXKY+/t7Io0PpeFfca5LNjtR1uu9QrqcpO6Dyl4YudnR+x00Ssk9ctA +qnd10/yApU60usjhqTeqh9JnqW8OeeXyYr0O+AY9Dnod9DLsH/g6+Dz0QOiF +lsQG3w1tYyPv3fvzlj4p/AbwI5ybfm5+uwVBfD9aj3+rbTu7P4h2fdP5YXvf +YJr6R4GQcj2DaMPB1w2TT99hu4btnIP5J0Y0F/ejzU6Y2OFUCzMVzncpOmyp +mX5sSleuNjHTgEVhD/MHmqnXy9XOH5uZ6c9ZPYtPdjJTjyXXFl98gvPlqdS+ +hf/0ia+tFPl7sQKb26VSpaOFCt6xWinPkZUV/zmRynaK/Psowm6B3SH/Tm0A +fbP4SMdfhhzhcTftPKLd9ope9H3La0m29rFUWytxniaGwmu1v+DUL5z9avCz +wY8Hvx78iPArRjZdNDIjMZN6PL436dje4+xHhF8RfkP4EdEO79U79XzCk2aH +aNTksifOD8mihZ3KjHvQF/wni+vRDvVol+tVow6bhkVS7PVmO2oUjaCIpBNt +XiSYmM/Ajwm/JvzC8BMHtC84LO5QqlFa6PKrSgeW10+nXyuOaegy20L3Xo7t +X7hMOnXp9d2d1vMsLC9WnHo0ubstjLJm+Rba1i6evrzRt/7DiDDqVGpnqRsf +4mjSoJ8On4wPY7oBHYFOQbegS9Bp20qR7Sr1iaEDxdIOFrPrY+Db4OPgo+Cr +zybP++fr6Tfp7YPKjwrEZzJfAZ+Bvn4lqH3ojO1hnBdjzu++zrWAmbrW9pr4 +8/Qsqmb+rst7Uxr7GeB3gJ8Bfgf4AeAXgB0Ou1znv3b7fWrTDYXDkLeSQPtH +t3wfWySW8eNo5+P7im+2sp/jVNvjZz5PTGO9BXpM7ZiIB3dN4Zyno7f3pXkZ +b029hntT/N6WzS7f9KFfZj89umWBN0Vuzqhz6ZUP5a+++PSnGcLulPWTKLrj +XrrkxIK3ON8vop194eNj2K6Rf287kxosmvv15HFWGhNwP8N9SzjLPehB0Ivw +O3ZVP4X1dV0oSq43/Nrwc+M+9akrfsz3zZ39XKI+b7hHk3yZ4ndlDnZb45In +3UT9PEcNnxpgpVZXqpv6pppo5nn3qDJPrVQn4ueipduf5HF/VaNHyoziJ+n7 +E+bm1+plcj/od/hs33bP7uH3xcS9/+ENPzXxsVqo1VfV/T+mJ9Os/peeTMqy +0LrJedvHdNjHciOtcbG4XyZ68L7/oTk8/ZlO4GeQf+88iyZeqv5ivV3fnjjq +8YGdf1oYL2rX67ZhXB0Ly0Edfy7QTyv/n7KuBKipK4oKKkhRR5YCIopoQStU +RYUOKL1qKS1StCKtC0aHgiAuVRQtyOLWiiguVFAGF0BBiqwBlW3GBhdkURFQ +gYQACRLCkOBUrDZs9mtzXqZ25s+8mZv78v/7//17z73v3PfNRi75PpcKVibe +Xne/gATpvslnRuax7yyo/vDjSX4SUqBnzMPwJBFZlvn/0r1HSD5jL89LbRSR +g1nGxsPBQmb3/+sHpMyuwy7DTmN+zpnqmHDEQk5vn4R22/wpoThVebiHs5x2 +RsgzBXa5FP5XGAdJNN+hwbiQh8H98nHKMrRozGd6eE9w//Be4Hf4OW3zuBlN +uwvZfC2+cqh6QvHt/9UxYJ0MdQrw6zj/h3ULH9YpoI7jw7oLti+7+j0CDkUd +Bq4DdSk4D9ZXUGcC3If5gLoS4AfgHjx/vunDmDKXNvpqkYlF+5E68rf5Orsi +r42ebxVfqAmpozD72Y98T8gow9T/h65RUpaXBA5EXhDxOur0ULc3/9VWHT3X +J7RJ3jjW8Gglq3ND3VtD6a7DhUPtlLGnUydwoFlTd6Wuw3orXJ8y6YBC3coZ +bxc8XvB2weMFbxc8XqN6s6Jk43bacsD0k05LIcNlwGleX/xtZLBUw6PHOiPq +8DEP2L4M6jzNm6ZTQ02nOmmy30Gnu87NLE4E7kccgDgI+wBgnmHeAU+8Wy0d +EdRLokjdktnDFez5LGrqfbC/j0/egR57bnrnsRZy5PmQ93NfHHrUoLac3uas +ov3XBKyF/OcTeseOaj2lVD3HKCO3SspS8xofqHmO2rWNIwIcn1G792TxIeF9 +oocpzQHOIrIbbxIfEiGkftuhlqsGInom3VLM2y9kcuhBDr0AfX/3fC8Jec+r +jpMrmkl2Ub/roj5nD0wfcUczy2shzwVe4mI1T7GjodFEV19Gz9+3UqqKiSy3 +uqag8DEZ0Tv3yWm92IUff1BJxh4TN2vz5IynDd42eNrgbYOnDd42eNrgbWPf +BMQLiMsRp+P9RFyOOBxxOeJwxOUFnsGfRqh6yDpokO8c0kOuPpPqrSt6iO9Y +T1qRGjn0IIfe4zsjuKOXXJKLuEPJWsixbot13LY0HY8xvB6a+bltfNJBBd3t +W7fAfhOHB7p8nK6tVJDViEKbsKFnlJp22VpyX0nfqdLL9g68IFFsbkDb8Hkq +DbaTTDn1glL38hzT5qXQw1iry90cXkhwftWka57C9NAPeugHPfRD3g55vH/j +rBba3GK3IFNVR/dfFSSUUyulZ00NDs2pY3EC4gbgfsQBwPHA9eBNIt8KPwa/ +5vWuXjYum31XpE17S5dJI+e/t9l8Kd1RzHAOcE/nJe/8rVbVVPT+gT6im3sE +k1psqkl0y2uxdckj5gfhFxco1joo1mK/UzFV8tOTLXyEZDC6cmGSoZjo2N1z +v3rIKGdT+GhfbRnNTzvtF3tByb5DBp44eOPi7BTuUFKCeUS8eUQvw53AobAT +sBuwE7AbwLXAubBTsFuwU7BbwPXA+fD7wAEb1bwm8JxWq2bH2P2YTf/CqBKG +C4ETgQuBE0NLj+pEDleRLIFC1tyoZbgBOAK4ATgCPCfwno53nhu8t0ZIS1ft +Lpy/QEwufeOWxdlrvncLnlOsmvfk+2zdkGielMxcHa+7j++g9AdB/TIR/H03 +bdhtFbSsU04mkkHLYkE3/W5oUthdoqTM962E0tR1KbD3iG9Xt0reRhVp4p43 +G9/VE2p4FeBZCM8uvTxOq1VtL+rYc8c8WKmu+w1X1wFHJ2aW1rTkUL/T3PiG +qhuUZVcbcdhLQNEdi9Y4C+7QPbeK897bhGQ/LVJv7vQWKvcbd2tFgpL0X9vr +Skt6yWz0jVn5Z5W01zI+MKSgl86ap9/TnSOltuyq8UmrOqjzpHHN8rlSejVj +7YTNLh2MVwCeQYBO0YTJXBx/fIW7QwAX12Od8JvhyhW7JzYQL9a4/0W+Uo1j +OH901T+sla8kM169d4JlL1XNchvkhWn2bY21v3kwKL6cRvX9NqHsuoC1kIMn +AN6Aa2ievdYizX7p2AfN7XGUVkWGpoUceuiXYnUluzBXsx/x6p6oRHM3Lo5z +qlbpjdS0kEMP/a7Im5ZLhpVU8VI8pb9I00K+fsvWuiGpkCx9XBLDDwkpxLJk +5sszeZT7wFil9S2fije1KhIP9NDpxK5pkfweivY9eanBQUYeT1W2A6M4uyy8 +ETRg203D9VM8SwfktL2yZlfgzAYaCNg1eUNMA5NDL3lh3Ym0YgGZmvr6OEaV +kzTryelQ7rzTLfi12zuElDrLxHbfNik9f60INeLGj+vAdVnkPREbcfd19Jkj +RoPcfUYLOfqlqP8H58F5MQ6M62PPzy6FlClpx0ftO5YolGxcGCfk0MO4MM5/ +AG9PLFw= + "], {{{ + EdgeForm[], + GrayLevel[0.], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNlk1o3FUUxV8yaZKZSeY/M9RlBDUYW3WjtZmCFXWjghXaheA2SVGwVkzX +JnUlTRsVqqjdiIoIVQsu/CCdMVFIoIKLiqXaImrcTAotJSY15mPG8+s9gjCP +d//v3Xffufeee9/cNvLigcOdKaUfNHIaG/mU/tEY7klpTmNB42+t92it3p3S +mx0pXdDaTxqzGie1Pt4bemuSX9D+jRR76GSSi9rvQCfF2gXbnOmOb+SxYkrv +90mQjbZGkv68pvcqKQ11pbQiQ3sFtCH7A1qf1vd3Anw8C9tLvXHnn4WUFgux +tqiz05q/KYVfTclP6vz3+j4jW5Paf1p3jkp/SnsjwjCq0e4NjHPGNmfM2Oee +OcsLwj+vcbUrfJu1v4+XAjPYC9LP6e5ftb6FX7prU/NfOtfMR6yI97pj3nL8 +wdmQzlmNfZKXtHZFoyadPT3xXe50rAqhf6gj4q9f6pNffxQijrvykT9yx51L +toMuOUN/3feCB2zLGllnrG0YD/HbME582fRZbGxZBsuW9ZlblsHRttyy/po5 +BTZ8BNO6MWyaB/OOT8v6te7IKVwghyckr6awXzBnyCt75zSvKSGPae0zzasa +eyTfWYnYosPZo9siX3dLvl+569T3h+WUfu5PSWIa1LnrEsakc1g4L2pdYjqh +9dey0EH3Udl9Xh95zYOl0H1G8j3GAJZB6/8i/WOS58ThXeZLnzZ+owg1t/X9 +ls4P+yw2PtVY1P4NzQeyqIX9mndU5b5is70avL/JTZ052BWYMTmbi7uQ9/vs +w7r321zs4Q+6o9ZH96Dl9XJwYUL6uxW34e6owSPmJHwE9++5iC/76BHbMfFh +n7h4vDf6BDM8pF+M/09mptaIA7bIxUc691wx6uecc3qXfLzsnoKPxAne08NO +Z4HhCeG81hV1SQ4mhX8A/JpfLoUv+HRK8iuK9UAl/EYfO9jD7ortkw9keIFM +Xqj7tvXpA9ecr0YpOLlWCd0On22VQ76vFLVF7bFOTSX3pTPOL3luukapha8V +gxnxZcr99ZDPEv9x69G/yAM9oS79l6Q/rb3zkt+V/EU+BvcNu844hwx3Gu4z +3PNVMe4aqkQ8iesD5spUFvyG529obVLzxLbgEwMZbhCPZx2rXCXkqVJwjLPk +5QP39HI56oS1RypRB9wLD6i7q+Yld1GrcINap6dS72eF+ZNixGKlO/oXOV62 +TAzJF3kCDz2q7f7FewOX4NTHuntVOpezeFd4X17PwibrxBZ7K5bBhV04MCIM +XwrDsXz4vuB3gXwtG8PnuvfHYuSJN+eO/sjbUc1PFSKfO7R/e3/UBrqn+kP/ +dDH8xEdys+D3iXP1/jjbNh58/M9/eALHJ52j86V4D4aqUafEn3zBTWoE/UtZ +yNQN+SIHxH/Cdog/HK+5xmvuCcjwA57cW46+veZ+PuOewPs44Xp8VVjeLke8 +3inHW4cefQAfT9pP4rGzGDG5tRQ8fTALzsJd+gJcHvfbRE86Yn7ffPf8vvB2 +kx/i9lA11vdW4z1s+j294veRmIOn7rrAv5rjNeN3GX/rlsG83X34lmrk/rp5 +Tm+rW4f/OzOOA+catkM8Msd/t+PAetP/FcD2LxdyY9M= + "]], + PolygonBox[CompressedData[" +1:eJwlkz1MFGEQhuc4F/Zu9253z9h5JkTjCf4UilESMUqjFjQUJpaeGE1IMMFa +gUo5PSURo1Ap/iUaMRb+FKBoaUdlIjEBbLSxAmOlPuNbvHcz+828883M+7XX +L/QPtZhZL9gAZlJ+ArMWsK9sNlYy64jMhkOzWwWzI3ybz5n1kDSTmHVyNlA0 +uxYqZivxL/G728wa+C/gi+GqQX6c3E5wm/xzfMtnZr/BdeJm4fvE2Wny38LZ +oNYCHPdi+PENf4m/m9T8mP9/RbuBXSV/LNCd+vFXqV0FP+DMgR0VcYfkd2DX +QBf2JPFF4tuptwj/K74doN5Vvr2H/wPYz312p7J9Np+JnQIT3Ol7qJzLxCTw +V8EXcg+BPrgnOTtMrY2graCai8Q+JHeOek38r3A2yprFTwrcoVZPRbme47mP +6W+tVTUuEbsZfyRQz9NeG75vRfUagStl3SXH+R/4VjjbA4qcGXgdacY+23Fq +bIevm6Nleqz5LhL16jNuYt9NdbchetoGd4OYg63a2Tx+F1jIa2Y+u53EDxB/ +FuzC/uU7yavGOvYI8Sn3W4fjSaZZxrHu5jOt0/PJWNpZzgS3PcdzVzJprY+Y +U8SeKOvurjHXmvf6iLN8QT0vJarlM/RZnomkKdfS31AacC04p3O/iaR517pr +cG9Zs3TB+duYwB8M1KP3OoU/Gmgnvpu1RFr3b352NNPsPKcX+1kkzbnWhuGf +w34ayb4I7sfaqe/SNf8cvmOmGc5iTxM/WlKsv7EHqd6qvyl/W+cjacy15TPw +HfgufEfj5L8jphlqh77LNNVb9m+rmd5OvSRt+BvaVNHbcU1vIfcfl2aCXg== + + "]]}]}, { + EdgeForm[], + GrayLevel[0.13470488499058986`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmHuMVdUVxs/MvXce9zLn3HMH7B+ttpUq8wAGBnwwzNhWW0WQhyiglLYC +SXkWaNME0lT7SFMe4ozRVgoWaLStDwrGaoC2MjZpFWxEAgFttG2sYGz8pyB9 +CNjH95tvkf5xsvfZZ+211157fd9a+3x80erZq+qTJHm2LkkKan/UmCTb9dyk +wekNSTJDzzmNl5uT5Dr1++Kh/5DmDIbMhcQPcy5TO1ztEj07pCctJskf9LRJ +frna03pyybTqe2/M7Q299NE3M9Y9E/Jf0dz+gvUz/k5LksxVOzaTXtk7Ss8c +vf9OMksk36111xb9bU7Y09XoNadI5uv6tlwyA42W+WOd2/boF0tJclCyW9R/ +Rnv/QONjeZrctmt8XdHyrMNYV4wvlvy7kpuk+T0Nbs/Lhr1q9+l5QjKvFd1/ +NXzzWvjnZ3JMpv4b2ldfNUk4nAWZZZFh7gnZv7TB/mA+eiU6NLYs/I+flkZ/ +o3R2qr9ebU+jbcKe3qr98Ff58jF926z+N9Mk+UzRZ8fcO7WPOTGnX/3Jamuy +aXKjdXXE+RMHM2VbnfQsku/+K92r9b693md9MVaGzrfOdmMze3o19s6arE3M +jNbHcWo71a4cprgse23WY13sf0zfGrTWJNm8Tc+Nkv+IFlshvyzS8wW9j9L7 +vZK5MveZlvS8r7ltRY/PlExjjHPW6GZv7JGxhpCfq7HN6o9W/4U693sSy3aG +Txi7L8bf0/qPqr9W/a1h2991jk9VPf9mjS0s2Ve5vnXInpOac6f61+Q+977w +YTFsGKfxtyXzlPS0q/+ivt2eOQ53lBy3rN8fNhyts74p6h9qMJbY40q1K/TU +NH625D74Gq3zfb7eMdweuFgbMc4a6G/VpEFsUztSOl9psA8nKOa7m/2tWe2a +gnUxHzvA6ndS+2lD7njqCT8jdyDWvVzjhxvsL84I/YfrrANdYBl7l4f9f1Ls +tsJb8sPhgvfG+JPBNcQeOH8TXKr/uuQVSskVkv+z+sPVvzIzx4B35G8rGFNg +jbFDwQP4ABvmBi8xzrzFcY6cEfELBsEoOJ6v8RbwrbW+pHaMznRiyfFxRk9Z +a1+rdpSMHqtvSyXTpbY+NU/V9P2rmru+Ij/DQ8LCzrL5d5zGp2n8mM7tau1x +j2xUNzklmXsqPpNvqP2V3sc3O56LEefjJb+rzr6aqnO4udE+6ql6n5Or5gI4 +4c3cfPrzOvt6UDadlW3PZcYovsZv2/T+isa7NbcnNa4eV78jtU8fVX+LnjbN +2aSxT+j5m/T/UGNbq/bpNrVf1ryVenZL7ykpHtCmZsvQifUek6lD+IdH4JDx +8sP+snlqlfY6VXs+2uQYHIzYYj56blG7QjIzy+Y28kV3+OKy1LE7QjLTaua7 +OWq3l81B8A9+JAegExvxiYaTD8uGitbtbDJn4Zf7U58/+Y8Y+L3ef6Lv72tP +rbnjeFzV/Mde4MARDc5VcOB+6by7YlyRQ5Bh32AEroFHbsvMA1NT4/FUwXg5 +IXs3au4szT0tmSu0xhm1e0vOG+TQu1PHKDlnp2QvDHPumqX9/nuYc/6OsmOO +eKs0m8Ph8g0VxyUxuSbsqkZOh+PJHe8UjFv4Z5Pk35KeWyVfrthfnZFPeoI/ +v6/xk8Mccy+pf2+LsXF/7nrgvNqHtYcjGtuZOceiA7/8JbcseAIPfVFbXFKz +3Z1qH9S3lySzRe2piv2Lb4+ov6XFeX5+Zhx8PjWGftliHLXl5tYOtd8r21bs +nBNxcjJ3Hpwe+++KegF/fFG6uiV7XA6aLf0DsuHS2NOMyJstuTH8oGSfyey7 +p9V+qGTO51x7U+MLnJHb8C18iF3EA3Hwj8y8+c/MtU1/1EYzNLdd4z/GT+of +kp4HMuOgu8VYuFTt49rXmjhTcg+cdkvFXINfN+WOzUHp2Fc29sDd83oflA1T +9L0/M64GiLvUuWW+xku5MQ7WJ2hel551zc7pCyMPwqMLg0vhP7ibvPMfzblL +4+tTr7cuMPG5OC/ODT4+GJzMt3cjNn6dmW/vin2/qEfTh3QsDj3w7qEYT2Xn +QfWvSS1LH14F9/iGcz2X+9w+lhoDWWD8XOZ479L3eZK7I2ppcjL+Jy+PabIs +eKdOIfeTp8lD5KOK5k5rdMwsj1xFznqjxVy1oGDeoU6fF/rBNX3qkwuZc9Qv +Mp8j/gSf1LDwIrg43uTz7A3fr4mz7qgZ35XMdsIf2EosrAm+pU64qtl5m3yy +Ovj/WL3rPd6J05cLzhf464PAQlt8Rw/rwzFglXz024J5eMinavsiN06IugI/ +3xq+Rg795C/2dDz28lD4ijwPvn7aZK67OnV+nJW55jkdNQR64QD4fF/J54Uv +78tsz2ZqrZr321Yz/8En2Md5gkvOlBoIPqbPuXCPomZ8pOo6ojv1ek9Gzr1W +er9L7sr80G+o2qfkLey5ruZ+L5wmm54t2cffTo0VnD4qME5t83L4D59vyLzW +RMl+K+QvVB3HeyKHzg074Y3XM+epe1LH0faw/wfBmXAnvofz8D9+RM97cTfZ +G3cZ8Nofd6jtwdUPxx1toPH/9g6EDLGVBhaORFyDAeLkWMQK8T4h6g/q4qlR +q1Cz0AcjF9/xQyF3vUHdQf0IH3I+4AlcoWNsYASsTEl9dtTmnAFncUDjnalr +pWLudabFWmD1cOQ1chd8BIdQn1xfcI0CPy+K/HdV6rPgTPD77qgZ4Oy54f9P +Rp4iX80L34Nl6np4EF9lmfWfU2xfUvK+sAPfs18wtSzuUOTft3L3q1XLEavY +/LWy8yvYwrfrw7/wNxgAL5/V3P3q/yY1JhiHZ3ZlbnPp3JP5zrI78/f9ITMy +7gQ9wTngEuxT+4yI2oa9U8ewR+p9+i+EjczviTjFp/gMXodr4JkbcueUWu5a +Zm/cy8D6YNjPPZA7xNaoMY8FdhbFHYtz4d42Oe6wyJKX0TMhNWbBLvEzMu4g +l4fc6LiDwCNg+o7gYew4mzmPP5C6jmuNezQ5hHHwdzrmXsyLtDdEzBL3nOOQ +zfV+74x7bx41J/UxGJkW8b8q6mK+EVdPR/1wPjNHUUPgV2JnddTVnBsxxL5W +h07Gn0itjzsod9/FkYufi5q/VDWP5MFD3N/Jy0McV/TdhnsNGIcLwOMjme9D +n0qN4ZVh//W5Oe3Tuf/ZLIhafEnUwBf/IxEz3A2H5baznDtndcR/DHQSv+x9 +Uu57967UNS97nhj1PbpbI0+xLrlqY9xh+N/A+7j4X8FdDf4fH/cb2lrUdcPD +HmoL6k+4i/jfG7G3I/I490v8/nbgjn2QO9sjt5FDPio7t8bddXLqfzbT498O +OWBsyB9Nnau4fx9IjSFqMepy7jXk7GXxz+dE3C2pedaGf45ELr497gvcG/qi +lqdeZR9jYi/goD+wwL8G7J+ZGjcn435BfBPP1K3U8NSPcCG4IvbgVuIBO+BM +6k5i8V+Z89ThyN3/A7nTZ3k= + "]], + PolygonBox[CompressedData[" +1:eJwtlltslFUQx0+7u8Du1/0uC+iLYExAeoFSttACrXgJagXiAkaTKgZSEzRW +KCYmEiNgiLEXoC1eKJC2m4hKscoDmBRtWkxUFBUJhAbUmCBgNL4o4IXW6+/v ++DDZmTOXM9+Z/8zsTQ1NK9cXOud2QnHojyJ46McJzj2SdK7F5zfh3Dhof+hc +PuVcE/oO9IvGOedFzk3Cbx36Ivh7sP+owLkcQd8MnJuK/XrsT2H/53hic3Ys +5twn0Hxss2nnBrC5H109NseJMZPfycTeAt8MlcFHxHsO+8kZ55LkdRR5Evx7 +xK7GvxyfOZy7yGwbyKcAPovPAfJZg/w3+VdhO4LPcmxn4XOO+x/lwz8kn3Zy +C7FZjDyC/CryGeQssh7pALEehs4T73HkAfSpyL69CdqJLg+1w++AitFt8pwb +5L4h7LPcuQR5K/KZCfYml4kxnfhz0XfC56GTMXvTXvibibFNsbD5NbA31dvq +bAa6d8n/kmexK6HPuP914uZ4s87IclJudxAzwHcptst5gxS2p7HrCOzb+/mm +bfAXyO0F9Nu5b0XScl3mma1yvoH7TiIfRldOzRK8z1X8nxZ+4A9xZzfnd5Nj +P/HW4d9DvBryacf/GvrX+O1FP0RuffiMJ78u7i9D/gv73pRhSznOoMbziT+M +/Sn0s7k/7xk2N0L78L8vZjWuRN+VNswJa8qxGP95ScOUsCXMCDs6K4FvI8c5 +wir+8/DvxrexyLConD30uwoM75fw9zzDkLBTpjfBtoWzHPHSceudlGc69dBu +/D8nvy+gWuKXRoaNY8QsgV+WsdjqqdXwGc6eRNdIrInw9Zw9lbI3+Bb5fGS1 +uYh9A7pWz3LQ3cK0sPasZ70gzI1x//f41lGfUfgbySFHfA/9rfivzViNVJul +8KNpw4ow+TP2K6B25A5oJfwtGavFBuRF8NnQvm0i8b9JG4aEpQ842wF/MbLY +GXy2qj6cHUfHJ7ld8NsDs13LfWfxfxlZbSybVwLrCfXGQWJW4V8NfRyzGaJZ +8iU+zfCroGnIe8nnctzecDq2byAnEoaxhciHsHnA2Zschu/jrBfdRnwWYptD +/g7d9ZwNIr+tb0AuRX8Nfg36K8hz0Y+gnxLZ29xFjnuFz8jeWjEqIvORbwPy +TPixyHpTNRiF78dnX8JiDgbWQ+olnS1An4R6iP2Oehj+9sj401A9/BEesjJt +vaAZ+j7xjqAbgBZrFobWizq7U7NE86LIZoUw1RJZbTRjW+FnhVYL9YR645/Q +Zql2gHbBZuSz6M9BW+B/CezbT+Cfx/9r5CBuGN0f2Wyewp0bkjaj+zybIZod +OtM36Ft+wn4a8V+Cqgqtxj663aHpijnrgt+M3kd+EJ8x5BcD2yWPcVaO/Ftg +s/I69G/B1waGVe2MqfjGI5s1wkgCviK0XntC3xxazVX7EuR7sV/g2+4ThoSl +soz1jmZCKXwdMYYTNnM1e3Wn7hZmDgZWc9W+EaoODDPCjnbKat/u1N0n0O9B +vyqwXaMd8xB8BqqLGUaFVWFcWNfO0u66EvzfG/hchb/Nt92lnlXvDvs2a7XT +LkSGCWFDOR9F1+bb22qGxtDNDu0t1YPqxWbq1ebZLtCM007WbtYM/xTfIWye +d7YDhuFrfPsWzTzNvu7AZoN2Wo962bdZW8GdrYHVULUUZjaha/ZtVwtjwpp2 +rHbtM8i1yD+kjdebFGJbE1rv/tfTacOgsKj/IHW+YVRYFWa+ItbvgdVWO1q7 +utO3XNRj6rUlvs1m7TDtsn8B4osoaA== + "]]}]}, { + EdgeForm[], + GrayLevel[0.22550669000253787`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmXmQVNUVxt9Md083M9Ov3xtXIBFM0KiouER2QUQttyAaE0UwGgVcUEYY +RBQtjSTRxJgIiqImElNGQazIooIraCWlAQzIuIK4KyiEipKooGi+X74zZf54 +fc+779x7zz33LN+5vec5raeMr0+S5G79FNQemiVJazFJvq/2tYYkWatnivpv +Vt820buo/bzB9M4a81mD36E313kM/MvVrtDzpehN0f8L0bfX+Vt30U/VmYe+ +idEPf8caO2nOcjlJKnoe1PdPG7zeV4nlWqfnUvH0LppmnT4xBv7Pg595JpQ8 +zyVql6pvmZ4did/h3030KvWloo8T3UP0Gj1n1FvGlSFbt3rTyL6adTV+oPqO +yZPkT2qfSZPkfj2tog+qSZ/6PlvPleI9Ozf/Jn0fqW+zpPBRaj/Rt3b1t2vM +Un37o9qjxNtb9N/Ec5N47hR9rPr3UP+tel+h/tvULlb/r9V/qOieRcu8BtnU +vqBnuL49qbPsrPkP0dh54ntbYxfm/g7fP+q8d+gBieV4GLnV3iL+5eLvpTnm +l80Hz7qwDXT+omT4q3hP0JxtcU6c0S56n6J5dlST5EbNsUTfdlF/Q4t0Kf4v +NO419S9W/3exDa01SP0Ha62fqP+wen+bwLpF6xmZ4MF+OuTmvOrVN0/tXXoW +a903NOZNrfuweAbr256J1z+y3mu9rPkf0ft3RHduMB88H+rZLp431F6sNVcX +PP5d7eMLte+of3zR8h1R7zlomedR0UNE7yr6MvEfVfD7eZJlvNY4IHHbGvR0 +fb847HCw2iP0TKqzPIODHqf2wuDfoXnuL/sdW4AHmbEP7ORjtffpWSe6t3SY +drKdn1zndZbGWhc1eF7mbFB7TYNlviG3DBvU3qHnPs1ze275x5Y9B7bDHpB9 +TNnz9Aw5mRfbPaZomvlZm3W/Fr130WthC/C0xnz456fhX6slf0HfFmndu0S/ +oO+z1c6RrVwgvhbRwzVnr0qS7Kf2fJ3xnOYkqWqvT2vMVPGcq70vFf2x5NtU +Ne9Bwb8M+6pYZuS5quK9PyveNtGz1N9VslxRcVw6silJRjQ7/t0iGQZo/ETN +fanmvUbf+mjd9/U+Q/xP6/sKPQ+K59joW1DxOY4u+/w4uw9ynx8+fZueo0R3 +Ud+dmvPkRsWcin16u8bNkGy3prbbttzzjY85B5XNe7ja7antc6Z4rpNMk/QM +LHuvUzt5/Xllf6O/v9aqNlk3z2l/T4ruJ12fqPH91f5APvpGzbF4Xu4xmyrW +/QUau0ZyPqe+weKbqTm7af0JBdNPS45T1J6qp0Xj12r+aeI/umg/WlKxrE0t +phtbbKv99cxX//4tpl/SnHtprf2bfDac4Q/VnxUta99Yi4dz4GyPU/9m4ny9 +bXlG6Irzu6niPPWX1HYyObevdYl8hD91Dp9Cx13DB7sGD/TD4Z/w/0rj9xd9 +fe7vXSOXTcmcGy7PvGd40MMaPW9p/y9o7Nsl06tFz04dpz+Tvj+S/Heo/zT1 +vyL65yXbSvfcdDe1R6f28fsi5t9Scp46WN9Gqu2ndQeL50Xx3C2eg3Lz9FI7 +VP2vqv+emnNFj8gXt+SOe9v0/cOC+4mryIisxL1Meq2VvUYaNDwd76si/jVE +PDld535eo/U+We3QJtvWWTrfsXo/scXnOj387nz1DWv2OzGCeYjZ35KsP9L7 +t5FZ8k3EPiXvBsn1fsmxmvYDPc+K7l72OzTf3hP9qtqeGnuqxs6Rft6Jfa2O +eL8h5jkv9zyfpf7+bux9Z70P09hOLc5x5LduiX0Q/8OursYfy8YB2CE2+LZ4 +79acB+qcvuzI9erft96y0DIPeY58R34E02yoM45i7S2JbYYz4Ww4r/U1Y5Fr +MmMc1kem0ehX9Po6Ywji8bLU7/RjV9Mqlg+Mgg8/G3lldGK+MeTE3HGJ+LSH +2ofqHD8HR87DR+Bjf4zbXPBY5r8v85jrNTYvmmYsuAmZifPPa72VZWMK5P80 +cBo2iU1jz8i7JubknXyPvc1X21fvuyfGbmC+3QKTgAXRH7rfSF5KfF7gS9a9 +V3t/pt4xeoH6+hGH1D9H4ybHGOwcvLR/0bgVXAt2JY9dHLnsd/o+o2C/JQ+O +jtgOVlweceACjT+zYFmJn8PDbsCDVxWNCXmnHxtIpLd/gkt0tn1znw9Yso/4 +/q3+K+qdA9eHzsE80wP3bK3zd+TsVfI8nMkvtd/jC84nBfX3V7so9NEW60LP +DkyVBsbDlxcS6xLrB8xF7IPn8Zp1PC91vMbedwQmpx+77d3JuYeY3Dd0zXmN +LNkmiOHDw6aQYVngE/DC3oErsN1pReOBG0T/NPNZnJtaxxNDnvbAhbz3CMyO +ndxWsH1iA+SuXpG/iFtpxDFyxWEl2wt2hG1hS+Re1gRPDtS6W8CpNc8HL3Ne +XrS/cSbkPvLQssDOkwM/X6T+sXquDYzTFnYIPgIDsccukXfILzsKPkvOcXLg +GXDNAeLdGL6NDqbGWb8V8Yn4sG/oAH2u1V7XVezX7KM+9kKd8XDUGgv1bYGe +EWXjD/x9lnS7T267Ji+tjhoCzF8pOb4/Gph3ceDnJYHfiV1Ti/ahKWEPr0WN +wPljR9jTyvATaqiZ5Oqysf1u4dvYyWNqh0Zfl5LzIrEP+8UulSaSuRo3R09r +2e8LY42hBeM03vG/fmF/awpukWFF+CXr4YfITcwlP1HLkI9m1WzzA6SHn2W2 +9WG5a0Z0QI4D44PN0ME+Na8LThwb8YBYgYzIjYwde2Nfx2Wmd9ecN+WOSeBH +7B8ajIoc+ATzcBarol7r18kYCJsjfs8KnstLrrnQ3b2Z43a/1H72UNgGekHO +zuF388N/p4q/XXq4Qu2Pa44Bw1PXzeWonWs156npqfEJ2IRcMD1i0Iyoocil +YvkfztsYeeyD6CcXb4t7A/AldvdYnPvQsC/0MzlsvSMPMs+SxHvljNALmArb +nxcY4L3I40PUflWwP80If0ZGYiH+wDs+uTX68QFqGvRAHcv87drAoNyxkzqb +MXfFXsdGPO6Iu5vCZ6mZpoe/gV+GhG288H/1YmvggjGBTaht0UlbybaLrexX +s12B/afXfJ/RR/QjFWMVMEt7wbpDb+Aj/Im80yXyD7HxiKglOadnIj5hV2Dn +PoGfyck7RV5+I86Js6NGZx3Os7mTYxxztAeWZZ/9M8e/OVH3PBPzE4vaIx5t +ifNbEjiHOEG8AMfVOvkcX5Fz3NhkfI9uiN3kuGGp7f1xrXOv9LCWPce9ATTx +Bzz7ctDca1BTHp9a1/Rjn+BlxrAudef4qD3JkeRKzoK8Cz0qNV7jG9jjocDl +pwQ2/ij6icUbA4+xziuxFvl5c8xJziB3nJl+E4M4L7A5dOfIU1tiv9y9vRj9 +lxS9N/b1n9SYdYz217dou8beltds5xel7vsq7H1r3Te2j32CH7BR6m/qXmIX +NTa5dZXmeKpmnie5W8pd/6xUu7Vm/k9qzo/cBREzqQnx3TfVP6pkGhvaKjne +1Pu5uc/6tZCfWpBaiDqIOo78T0yizYP+V822sa3q+rElcMLA1HGYeNw1t90P +Ut+imvW/UO2BmeWbEXdjYC/i+9zUd3AvZr7LwD/HiWdc2TR+ii+DsdDTE3FX +xp1Z98w8d0QeRu/oHB33K1q3u+aOubupnRl3ZdyZgQvI2dgI9Rz2hM2QY8g1 +xDRwCBgTrNIvN3Ytas2zUvO9JLqcea0F6utbMs+msKP2sCXyF3hyXMS3aYGX +8A9sCP2XWxw7Kmp3L8VdIX6aG8vup3ZYZizHXeZbVfvKvjXLiN0jJ2M+DPun +3mnTt5PRTWb6bY17PWziy8x7vTJkOzTuQdnbxtAD/dyLrA2sQu0KLjs97n64 +ayNuDkkd3x7IfD8IHj1I7bbcmH47fpE6ThIv/1Dz3d3va9YFds5ZY/8NcQe1 +V+p67A7NU0ldA4zIXFMRE6/S2GNqrhGPjjs2xmGjg2qOX9SjG6rGggMy443r +A3Ps1+I83bPFMXJ01EjY++iS6yJyC2e2PfIzNSE5emjN9euxautTx4aNVX8/ +v+T4Sm4Bf5BfrkntL9dJD6XcPMXc+Ze6ldyJX7ZH3D5BMo1RvT22xRiSeM4+ +OT/O8aTMe6ZvJ+rHqu9DD8mcG9k7cXt81ETkzmvTuOPJnQfIF+SbuZmx4/2Z +ayZ4wZPgyhlBcxdOHMQeTgvsAQbJU+sBfSBje8jZrew7llXxrI77YfIo7xI3 +uSdzzfPnzHtmPDiBGhbbID9cH/Xt15nz8nFRM+CH+Fops+9SUxHTD0+NVcBu +/VOfGThrXOr4sC73OVDnELuwV+z2hMx4Y2zge2LTmYFHGQdeIV7j8/jH2anr +DGoTfAX/nhX6ATtxn0XNj2+Cj/HJkZG3uG94JfPYlzPHdWLHpsDt3F0Tm7fF +/dF2tXW5bTLJHVOJEWsi75J/T9Lcqb5NVP/NqWsbahz8cKfcdIvaTM8k7sqr +xvbQ1Jv8/8JY/LOZ/CK6Kff5tEVdCs6cEDzcAYHFwXrICz+4k+/gUPIXd7Tg +HrBOr5rz7ddqz4k6kXqR+90JwQ9mZY7G3BiTecCZrA3uAhefmHlO7pyw2cui +5uEMwKPE7VHa24hq3LOWvE9sD5vk7gl7pX4Fx4OFwOzz436sNWqW5sCr8IMB +qYGYZ1HUp1nkhmsbfX+KXy3nbrjqe9z5uXPYhTX/P8J4bP6SqIeqgS27xX8n +1HnUe8Rq9jsn1sIXwb744BlRC4KBkatbyAYmnxI1z+JOjtfcd/xWeG1ds3M7 +882NOckhZ8Q8C+KOZ0DINjfkOzzuowdGnUTsp35ZGHdoyMkaY0KHc2OPzE87 +IXROncX/EwdE3be+7NqGmDQ25nwkd//rUspvJPOkwBf8Z8D9Y8f917PBT0w7 +L/7vOCP0hl6u1tgnmn230aY5nmo2jn4+6mhkZu4bmjw/ep8QZ8H350MXK4OG +f0SM/d9/ahXfxyEL+YrzJWcRj68uf6PXq2Ps32UPF1Y9jvjXLWzvJa0/u+qz +am/0ff1zUVNik9w51DX6PwxqAP5zGFn1fwkd8mGr3N+MDv1f2uj/Cag54ZsX +Z9jc5P8SuFvhnpf7UOISuZT/X/CZw+OcuesiLuAzOTEq913kq7kxVxZ3Mu/l +XqdJtn2d1hzRZHzAfxrc4zBXa9yfcO49m/w/AWc5UO38Jv/nga+saLSse4te +2Gj5uJP+XtXygh2obchX+OyYsMcLw36Y//jM8bamXPl67ju19blzL/8zUqc9 +oDV7VC3jzrFn9nt0bjnzzLV2Gv9xcB7YHza3qNHyIRv1UBo10X8BZSghsg== + + "]], + PolygonBox[CompressedData[" +1:eJwll3mQz3UYxz/2tz+79re/77FSqQlNpyOLwq5jxVKSJGlyVpMlpQil1JhC +E6XLokOH7pQmK9KFjqmpaKJWlLNjwlBNd1lUr/e8//jM73k+z/t5Pp/P832u +34lXThoysSCEsJtVyNpeGsKskhD6wQxtEkL3fAhf5kJ4HbqmKIR20OORzy8O +YSprcxLCmdkQ9jYK4fIohA3IRqEzB/wy8I2Rd8XWuEwIHWPspyFUwN/Koa+A +v6AshG7IqrFbA/0S+GLsvYm9/tBfYG889vLY+xh7X6LTDTpiHQN+JnyKvZHo +HAJ/iDPOgK/BZnvotdidin4F+Er2erI3md9S+FboHouNGHoKe1XITmVdBj0R +G7vQG47NpdD7uM8w6Dz2KrhTB95ezjoF/GjwV4PZBv45MBnushL8udAjeG89 +/G/IT+G829Ffi4/f5f1dOXdxYllr+EegD7NGgW8KPzvyG/SW6WD2Yn8xfC9k +r2G/B/KLWO2QNUdnDboDec847vcJZwyBbol8URO/WW/fyX3u5N53Y6MKegk2 +W4I/UuRvrDfoLRvAPxjbB/LF5/BPwKeccQ78t/DL4EciX1/ibz2i2N9Y3/pa +VgX0GO7QhzcvQGcAuqeBXwm+CvwD4Adxh7oCf9N2YOtyjjnF2q36ZmB75E13 +FJ53TStxzCgG26JTiew9bBwNfTLYWjAHkN3A/lru8EfGMahYLIO/GmwNsV6A +b4Zz3ifY2w5+G6szmOv1LdF5Huy1YP6F7o1/v1Gsx/ZdLfqdoDuwJsGPhS+H +Hs7Zw0r9Nr15I3sZfmezfuFug+Hvxd6HrC7YXsGqLPQZ62N/izmlvou+yW+K +yULrSFcxq9h9HvlBfNcUfhNn1yunEp+hswaAzyGrQ+ci7jeVvQrkX6Ezu9h3 +rkgdi7fhgy5NHJPyoXypmOkFPR2dTeh+xBkp9orZW41+A5iF6A9TDEBvJB4v +hb4gdS59wN5m+Zf7vJzzt1BN6JQ6VqXTEfpV3vto3rGjmCjnvPX6XsjbJ/ax +fC0fFcGvKXVMKBZ05xnyGdh1nN+b85Yib5tzbVLNUA4pl4TZCbY/Zy6HfpL1 +DrILE/vmafhB0D1ZM+CXcMeuYLdg7x7sDcFWwn5Dat/LxgPQ13D3+hLXJsVQ +CXudkU1EvxS6kDPOy9jnW+F3g98Fti97h6H3snd2Y+6Fzh7o07hjc97bHf50 +6Hcj31U51w/5o+yt5q2b0H8c+lnWVxnHrGI3D2YyZ8/gvFp0RyB/CPnDrJHQ +Day2YI8FswJ6JvjjOX8i+A26H3vNCl2DdkBPYL2A7gTuXIc8yxldFEuqN8gO +8oZmwW+O4S9mzQdfyxoKvRF8Odj2qtHc5yn2NiObBH8mskuIpx34eCw+PF/1 +ir35BT6zFXQlOqt4bwvtwZeAeYO7fo/Nv5Adw52mQ1cjX5b4TJ19P3utkZ0A +fwn8LejMA989cu2sUr1Fdn7i2BFmIPRjsX17HffbmbeP5Kt97K2EXsCqa+QY +XSQZZ7wF3xd7zaEfjkzXIz8evjWYk/BPH/baQL+HvLbY33we8nWceVzWNVy1 +vHviWq8a1S1xT1BvGA8mm/oNeou+mb7dEe54c9Y+ODpVklLbsu6J6o0t4e+A +38p9+sD/Grv26Jv9An0U8puy7rkvqj7CT4N+TT6FviVxbdkN/zv649j7Qf2e +9Q/8+5FzRzV8Jthc6thXD1UvHYP8R/wzDfk25IWp3zIUeVvFNvznvOUzMIPg +u7KWQ08BEyGLWVOz7qnPon9hZOwI7C3H/jOsLRnnQDWyKyLPIjcifxvZk6wv +Mo65Xsj+SxxL8lGj1DmiXFGN/T12j1ev7yyfJe7h6uU3wCfgW6TOVfm0FfRz +6HyN7e2sftg6HDvWFyN/JvIMo1lG36gZ+FGxc1E1RrVmWeS7KqcqkXdIHJv6 +Bk319tSxo5rxOnSnxLGpGUCzgGYezT5l7N2OrbjMfUc5vAv5IvZ6gN0O5gr0 +D0SmVdNvTjxDaZbSDKRZqD5y7VZ/HQh+FevTIvcQ9ZIa+G/R/471Z+QYUCyo +JxShn4s9Z6kntylzTio3lSM9wf7N2pN1DCmWDkbuJYdZjcH3j91rhLlKZ6eu +TStYu8A+FHs2UQ4qF1WjVas1g74Y2efy/X4wq9Rrc67hqt0Xc6d58PflPNuq +po9N/Rb10HPAT0lde3fy5tXQ+8mvH4tcw1XLl8SehVSDVYtrY/cqxWyFfAt+ +bsYzoWbDA/C/FnmGLI4cs4rdhZzZAfvlqWnV5IOqL5FjXzVctVw5qFzUDKlZ +UjmkXJLNd1Q/eFujEs+SmnE1o2hW0Yw9IXKNVK3UN9O3a+A+1RnnlHJrFPKf +Mq7RqtWvxq51mqE1S+/Le1b6mb0eyP+LPetIJ8CPjixTj1GvGRLZ96ppqm2L +OONQgWt2ju+7JXFuyafy7ZjE/wVUI66EPitxb1APVC/UN9e3V838IXXPUe/R +TLcOuipyrVWOK9cHRJ5N1YPUi+akzo121Ji7oJtwh0EZ36kB7I68v7V8It/8 +jc7gAtck1aZrYvc+zXCboLskznXV9G/AL01cy9SjumFvbuqz9P9pVuQer16v +Gqta2zfybKmaodqhGU2zmmbyHcjT1LVGOavcbZO6l+lOp6f+77G11LGs/yCq +6artqoGqhZp9S3P+b6IZeHDk2Uw5rFwek7qWq8eq1/4P+NHR6w== + "]], + + PolygonBox[{{4579, 1093, 2691, 3292, 4693}, {4690, 3273, + 2677, 825, 4580}}]}]}, { + EdgeForm[], + GrayLevel[0.3163084950144859], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmXu0VdV1xs+9557L4d7LPntfUBHSRptEg0GUhyQRtSnWmPBQBI1GMQo+ +UgumzQMEolBAINaRiIIj6RgdDRjA5oEPiqYgxkQlmMoYiYLP8tCYpKNqRiTi +NUbUfj++r8M/9llrrz3XXHPONd/n2Jn/MPVL7bVabat+6hrfadRq4/Ws1vyj +nbXa8Xra2mq1hRpX96vVbtC4WM8ewQ8TzAHBfrNDsJpf0qzVhuhpF3yp9RcE +P1rr07W2X/O61rdq3KVni54nM3+5/f33rYI/S+/bBHt8zWc80mb8G4VzmmDW +1Dyer+dtfbur4Tnflxa12iDRc6is1ab2Mxwwp4i5n2ocqb2TS+P8cOX3n2k+ +quYzHs65c9vMxwjN+3WYNuj89QDh0trHWuZle9a/3WH+TquZ12ltfi91xrf0 +7Wyd+aDWf6Jng2iZpPHX+n614Fdl/bbIY2tw8s6e7wpmebe+9dRq12rvSOG8 +XbyO0nh9l7+xvkbnvCz42dr7qL7dpvFLOvdsffuN1mfqfaLmb2r+Tc0PCcdB +zZcL/4OC/7LWPif4rwrnTp316f46o24eX9G3l8X7bME+LZg+7f1F5Da2bvnu +yPtjkfOU0vPhwn2v9m/Sc5LevyY65+iZUPM4N/Pd+ca8KfkOFs6hGv/YsJ5t +y3fgLhLMEH0/um5dXBK9RBd3BQ4YdHZV9PYl0X+61gYLZ09hWQzUfL1wr9Pz +v9q3WrReJthmb632Z8EPEfyeAb6fB3NHo0vr6FrtvbE0X8tK3/m94fEUvX9W +83WCGSucMzRfX1iO3O8W4Z0gmBWS9RU66yruVTTParce35Z7X5UzT66bh1WZ +M66OLt0j/LdqPktnfU/PQzp/fGGbvTUw61vW/7/Veo/WuvUsaZivVYE5Qs8I +wdTarP9zMj9C+FeKts+I3nnRK/TrBcnly1ofq/U1wv+AYM8Q/i7h669nQcM2 +0Ba72Khvd2ptXGUb2xa77sLfCM9Knd8rWTSkd8dpfFF4z9S3l8rILHLDpqfG +DyBj+Do5c/iCf86HDmjarXN/LjyTde7j8kWDtT4wst4XG0QW7AUPdoQN7W+z +zeyPvi1tWHbA8v2l7OXuwIU9H1MZ7i81/qfoHqj5/RrPK20vI7R+jnBMhn59 +m6E7OlbzV9utU/1DM7aIPl4r/B+v28awL2QKDPKD3p7w+57gj47vxRcNbVr2 +Z8afrxD8lZLDOM334BMk3zbhfFdrk/VUWr9P64ukj5+UP1mib2OEY5bu4qZO +r03r8fpUjZP0bNP3f2O/zj5G+M7Vc57WL9XYlG60tGdUaJoaXwpN06ITH9R5 +nxOtV0gmvTp/mc45TjCnC2d/vf8wPhz/vUrr9+h9gNbv1fhq07jBe2nTdgfe +jfrWLZi7SssYP4sMuSvm3NekyJ/7KrpNK7iIfYdy1m7R8pSey4X3StH3J419 +omtCu+MF/g3/cdiP6n2WeF4oPFN6vVZvt35uEn9rhWdBzbSf326fCG7OQP92 +ZY6O7c87c+SBXMbU3oeD/oNau6XDvnYpNt7hOLtC68sbjmFrG9YzdGypzjwY +vr5Y9zsyPT/xEX/zHeH4507rDvwgd+C5e9ZP1Nrd0oXfN71GTME28MXkCIz4 +7cWS1Qlav7mw7HbFduBvV/hdVLfOI9MuyWxDt/WMOzkn9wLdk3N3yBKfsxGZ +C8cBPROTnxxIjoKM79AzX+sbInPmt2m+PDJCLya2O/b/R4fhN4Xvm8I7tlai +44I7SuMgPdfFvtrjD8dEBsjkFNH+Wen8Rq01tX98h3OY7sL++zXxd0lhvn8p +nZwifPfHz6Lf6PlRlc/hPOLTeYXl9hN9f03nztP6XpK00jHiPfna5zTep/Xh +gvu7yjgXav3t2Dt3t7VpnwDtxHJyBOzkasG/pfFNzmmZ7vmF/UEttI0Iz/D7 +QNO4aqFxcOjslq7PlBxuT8z8Qqfx7m4YDrnNKqx7L4j27ci+3XLb0fA78zkN +8zlUOO9o2J+iA6s1/q7u2LG58nxK4XhP3D8huVkzMj+zsC8kBo7P/IPa90SH +ZcgZNdH4ns7o435bvo9jBTtE83mCP65wHBwUHs9omc7BvbYJbGNNfMhL8c9H +tAxLfgHP7D1J779N/CKOHVn3WSNyBmeNb/ne2rLOuUdmfmTiMXgHZc5djKw7 +/mML+JLhiQttkReyOiXxgliGHl+X+HhBfM+o4AQfdC4Wfc9LRg+LriWl6SE+ +gPvE4OesHfF7Q+J3sYeF+r67w/LckTwbmAvE2yrN35NMri1tw7M13qUzlmn/ +f5PD1k0zfoN8d2T4uqbuvdPanRveHpifBj+8nFE5799b2XdBP7o0OfZN3YCt +P5wcY0zLNc3pgl9QmbefV86pOPdH+ja66bwAm8KH7W53DsTaoKzvbXlOnfHb +yjD7Cudo+FHuhu/PBZ7cmRwa/o7qtS49JfgLW+brIo0TZJt/aFjW+4TzG9RL +lc9e2+47wnfuT74BvaNC8yTtX6b5ZI03V4b/mfB/vfS9DNT8i1pfLJjPtLxv +ZOgh5yAfJafanrqDd/zlsvjMCxu2r37xk9+JnNGvj8dPogvkbsT3MuvowvLE +P3KPzR32uaxdUNp2ztd4Y6djGPGMWmRzYD7dcpy4SrT3SG4PSSYDeu1P8au/ +bNl/gxM//0bDcZHYDI34cmzhz+L/x9rbX3tXNB2zseF/6TAcMHckfkAr51yT +GFB0Og4RT9Cls+rWJ3wIeQvyPyR6PkzcHmAdR3/xD8cktyHHIXZ9qsPfOgrX +UNRS+CTu5UC7bW5J/G/Z8lnvCuYi7b9Tez+fcUP4xfevjP+HTr6BFz6AId+4 +pHQOebHGZuF9rwjnPuF/VHy2JJN+0b9xva5RiOvE8rbC86dTv1JXUQthS8yx +L/SE+ErORhxj/pGaa+V+8cl7Up+dkHqNOPaBmsc98fmfin5tjP5cE70a1XK+ +Mrpl37038Ce1HCNObnntQHAiy7fyfnmn9RvdPquw76AG2lc3TdDD+czhhZiA +bbyStb1Zv7thGt5O3oK/A+9XOozrcAwqDQO9t0hek3T2wcq1/JOpW4hX8A+d +6Oym6Dn6vzJyo4ZF1kOTt9yadb5jH+hZq+F1ckLun7oJuyMvI+dH7yeVXp9Y +2qeUsce+5I3kiuSJ5JbUEeRii8LX3xTWrRvEy18XrkXWRM5DcpfkwJfXbWsn +tDwfpvF4PZdRN5TGtTDypK5h/XC9FxhgP1E5T31W41jlURN7nGtc33DtRq3z +O31bpbX/qeIjGpYDZzMnlpFvn9ew/VFPcffPa/2/Ws517y0cZ9ra3u85fC19 +gtdK7/1DaXxvBD/5BzUd/nZzy7ns94TnnpbzkM2p86gF8c/koBOTBxNvWSdO +oTfQQD7WqmxD9BWgccb/62jpnhK9pW2l6SIH3NNy7Nnfsr+kJiTfuL9yT+Qr +lfs9I1OPPqz3Pr0/Qi+nckz5x8p5JDin0hNoei938ZC+fVLz50vn5/BIrv5s +6bPoCRFzZkcOi5qWz2HZtznXhC/06s30g+j5MUfHGPsy/1Nh27w6d06eh4y5 +077cIz0eaBuSGEdsJp72xaawLXKHw32rNusIuoKO/lP0Bl/0euF8ZIH4GEqM +p74p3AM7ueG6BdrBgw2y74bgwbaIfWPiH+gpYY/nSj/n9bh3wN1el9xpUaf7 +LMQC6tAXU4v+oMt7gMe+uGvqHXAvT527SjDX9bgngb1/PfS/URiWurMv865e +93s4i17NvMQN7JK1G0JDb2pA9Ikc6pmG8yh6N/iRH5TuGaC75MfURMtSF21p +eB2+6Ffii9Zr/HHle/+qxqMr0zlY4+WVc/fb6blWthvi4ZGV/dY7AyzbBeGL ++uDSTtO9O72Vi0Lzgvgicp656RUQZw5EH6idqKGmF76jVuN9P7Yi/G7RuS+S +x6S++ULOmpaahDtDBjcm36BGYZ1cHB8D/+RPw3tdn5xTOa9kTs7z/dI8wiv7 +nspe/CU9LPzxzNg1/oeeSiv1O3nD8vB4aWqlx2qmj3fiAn0dfCUwk3TGdsHv +KpyrbE2NDn9VcN4U3sHN+I3IgT7ISakJ6BHRF8MXfagyzL8WjrnkdsRd6sW3 +YwsbWoanf0nP7NGGa7bNpXv6kwr3nuemh0tPY2X6GmsK1xib0utijl2fWHnO +d+RR5u7IcW4K/Tsq4/lYZXreiW9ZG71EJ0/Tt3/X/O7CvQvyf/wr+8jnoQFd +Ghj50G8lp3mjck5ELof/JLZTJxDfnyjtE35VGt/dwYmPAp6cCj0FBl+I30Qn +yYOIrfhY4ut0nfE0tV5hvXg6uvFM9AQdpFdKrCR+To1eopOPpb6ibsIWkcvE +xBt88qGWaxrWOJd+9YaGc7wFiePYF/FnRmwLXqhHvhu7uyz6Rp97ffZSC1ET +/Ua8Tyx8Z/QpT2tYzuTtY5OLoT+fKB37iIEfqSxD+n+H69GG896BoQc9JOea +EL7uzLnko9ektgMv97Iu9PBtXe6oPX6AGvX+9FG3lratmfGl5LxF8t258qPj +up3X4oPpd+CH29KfIu7PSz/lFfRH8KcK/pFm+knpI3VqfXWXba9euBc8rXS+ +dmpkgm19NP+L7aksY/o9xFHi6RWF4cbHptAj6ESXziltz+dqrAr3JuZr/m7D +9Qm1CXxc2GNedjbdW8IGqQuxW+qJNyv3wJ6oHGcXN31/15Pna76rcl1Kfboz +/Zn7mtaB17MXHP167SuJz09VxrNW83WxnbGJvRPTc3umMh/UMaxNis519hr/ +W4XrnkWJR8QKYjP6OVQ8HehyT2pm6VrvitJ5Yl9qUeweWSAHchnmq5MzI9v5 +ydVrwc8+3tk7rNP3wv3Q6+J/GXSAezgzeMhlyJfIp96Nn2H9Vy3H1b9vmX7w +g5t6jD4YPRnkOiz4l6WfQ5/mA+LrYJfzb/zpy6kDqSegDTp3lT73SY2vC/aP +Xe6jYMfjov/0yMhrZkuGNwvn9G7rMnp3WnRvb+zzKsE8KxxTuu2jiT3U4dSD +xIrnU99im9gl9KBHY6JLyGlY7vQ54Wnv8v+WByJD1qHr1NCG3yL/I/ejR4t/ +JH+jtp6ZeMf9b4mOIbet6T3uLHwX/FeG7x3e376D+E5+hR/mbPInYtfj6SHT +Sz6U2IRc0OW16cnQXwbmL1r+v4i74V6Q6avpT2HHV/fYlsllqK848yqtXdlj +2/qrXtNzbK97fNvTp7lSz8WCmdzrXu/vU1s9WVluyyv/j0rtQP3xuO7hWwPc +I38mtTq1O/wtSQ6JTgPLfSAP6IbmswvXkt9vmac5yX+Q/abU8utK50HUEPzv +8kD6sfQMtmVOH4XchtwLXZye/4CQBf9voBv0bsl75mVtdNbRCXTjxPjcOclv +ye3I8arKuja/x/p2cXoLMwr7bHwwfht8j6SP1r/luEy/jT07o3vY/yX5X+jo +/M/L/73kdUtDPzgeD55bsk7OQCzdnXhKHUk9Q0z+PwgSJqE= + "]], + PolygonBox[CompressedData[" +1:eJxFl3uQjnUUxx+7Xvvsu/Z5n2dJ2C5UmkIiVK5dRGG3JJea1STabqQQrdwZ +tzFjlNW9KY22UlK5XxrV6spMrlEWKTRSk7suos93vmb648x7znNuv3N+53fO +eRsOeLznkKwgCHYA1YGBcRAsATmeEwSfJkFwNj8I5mQHwSNA60wQXAg0RqEZ +sheA3w3MhTcSnTboDkSnD/hJZI5F2ADmgW8F9sMLC4LgvhpB8Bd0DvhIvp1O +BcGUMAjeR3Yc9pZhrwdwPvhibGbgJ0Ax/HLJIHsf/Cvgj4K/CX+HsVcGfjk2 +U7lB8BH0BmSfA8Yj3x/5xsgfiiw7Anv98b00tu29xLsSumFk31OAIuQ/gt8b ++a+rBUF3eKf51h96GzHMQ34T0J1cXAm9Gfwp4Az2TmLvM/D30c+DrkS/GLyK +fNZH/ijflsHfA30Z9Ano5dB1sF8H3x34dh74F3xrCj0b/pfgz3OGCcQzGrpe +4jvR3azlW01iL4SuC12Gv/rCM7alb/XAV3GGWui25ttK8G3Y+5x4vuRbU/Tf +RqYK2d3ArfAa8K0YflNyegn4E/j8A9lu0DnIboEeFTrnBfBfhB5HLsYDL4GP +RWYptr7njibg7ww2q2X7jh9Wvgtsexd0F3hTYt/dY9BTwUuRGQ/+J99OwD8O +XVTDOT8GPjxx7nTHuuv60GNSzpFy9S3+X0P2Y+5jMbyLgMnwVwIvw/8QmIzt +h/CRg78V0NNC36Hu8kO+5YN/RT57gA/C3jM5jlGxPgpdke1vHySOQbEoh8rl +hsS1rzezHvx8IBd7jThTHfDHgTjbOR0Kfj/6B/E1FPkd+EsXOPYB+MsD34PN +WuSyLv7eVe0B69D9AtiKbrPEtTqRGLYpVmxMynbOJ8W+E92N3mgD6BPymeWc +ngSfF1n3FPaehB6WuFb15vT29E28H/G/ArwW5+me7Zwpdwep51/hvY79bOiz +8FuAlyJzNfgv6MwJ3RNmglfkkQ90ZuB/EHVwOfTMmrxHZO4FemDjALrlQB/1 +BmBQlm0Gse9QdymbB5R/YBX0i/Bvh98uTQ7zbbsVMnOwHeHjGvDfgAehd6Sd +w8/VB5BtH9jn9eh/BwyGfgt728H3YH86es+q34DvTNy7jpPzQZylXYHfxlXo +R+Dd0SlHN43t98CHxNbNVo2Dv4DO2JRrVrU7CjpEvi/0qdgg/Ea+lcFbDdxc +3TJb1P84fymwIXQMqnHVumpyI/w/0L9Ttvh2hNgGx/atb4fBcznjcnR/IMba +2L49cS/4AfsT4R9NO2fKVX1gFjbKoX8HX0ScdRP3omeR74r8T9jYnvLM6I3/ +vdDfQW8DShL3TPXO3eSrRLFk3Ksk0w/ePuWLs3SC3g/eJ/Zb+BmZ3poF3F1b +ztQy9B2WYqM9sm2BnfD/4XyF6M/iPDH2DkGPgm4Dfy30cmRaBe6BK8DbEsv3 +2NtDfvph7+nYs2sr+qPB74LfE1gT+h3Jdy/oytBnGBjZ9mLk70e+o+6omu+0 +UO8T2W7AKmRXA59Fzq1qVLW6GZ0WKb8ZvZ2eqjH0m/NtE/jG2Pg++Pvg94qd +C+lsiT2DNYtVY0XQD+CrNTlaGLomstJ+U3pLirEI/rV5Poti6lrTb0RvQzq1 +Isc+jlg7q79HfheqLfWap5BfkHb/WR/67a7Pcy3oDf+b7942GxvnabZzptrV +3bOqMq6dC4DC0DW0AXxM2v2+S653CO0Sc/HXAv028I+lXXsloXNZCNQLndMj +acuIp296Y3prmjk3cfYiIE55h9Au8U7Gs20YPq7T/XP2OWnHojvtBz087bOo +B+1QzabcA7aD34b+RM1XoBN4O769lXLPLsHeZvxVZnmmdoQ/NfFuoBk5Bt5d +sXuj7lh33S/yW1BPU2+7I3bvUg9SL7ondu9RDYeRa1y13g54AHpu4tmgN/w3 +dE9gSzXvKEsyPqPOqh0piVyjqlXteAPAd2lHSXlGVoE3SbxraOZ9IN/od8PW +J9jsjP4/6rf4WgrUoHcsiH3X2mHeAS9OPIuUA+XimsR3OQKZj+FfmfEuNhT6 +R+Krih1Lhfoj8q1i73ad0W8JPh/5ruBr8d8J/pux37Z2qPngl2B/GrozgFfh +n8FmZ+1v0A3h/RX5rNo5yxPXtGpbO0WXjHuSepN6lnqXZppmm2pmSew3p7d3 +q2Zo5B6qXqqZVxP6VORdVjXxELotM94lFmmfg1dGbY4E1oX/z2z9it6N7CvI +TE85BsWimaHZoZ0vN+OcKDdvqscltinburOOiXuueq92ig7qtYnPqpk+P3IO +lAvtoAuRvThxLrUDNQBfgMwbKdf49YlnjGaNZtxuzdLEu7F6pnqncqxcK8cx +56tMvOuqZ7eCzi/wLqqdRrtNk4x3TcV4aeIdULugesIueD9BT4P/Nvz28JPE +u7l6uHq5aka1o5peA35t7NpRTao2lRPlRm9wIWdrnvGuoZgUm/7D6L+M/mPo +v8bPsWeLfMr3ouicb2AX9PG0Z4JmgXpUccb/BbSTazcfHHnWa2f8BnpexrWq +nn9D5B1Fu4r+E/UFb5p4d9R/iKvAb4n8llTTFfAvS879N4BuBP4fP47Wcg== + + "]], + + PolygonBox[{{4688, 3454, 2687, 898, 4227}, {4230, 877, 3283, + 3153, 4687}, {4685, 3162, 3078, 1477, 4428}, {4623, 2244, + 3159, 2695, 4170}}]}]}, { + EdgeForm[], + GrayLevel[0.4071103000264339], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxVmXmsVdUVxs99w733TeeecwVaFZDRIYDVqoC1CDI3TAKC4oDV0kiaCtpY +GdtqiwyKJmCEIo/K0FQBZ2sKYhoE1IpDVKopzqKopYJax2ix/X5+68X0j/32 +vvusvfbaa/jW2vt1vXTmhBk1SZJcrT+16p9uSJJX1V6pS5ItaZIs1fwRlSR5 +LU+SssazNbdCdKPqk+QW9Y/q9+/LSfKVvn+aJclEzX+kfp/mXxb9BZp/Sf1e +tbpCkvwuM++zq0myUrQr1J7V/BFNSVJV6yde64P/BvUH9W2W1s7TuJfmJqgf +qnacxuPVD1FrlnyrRXdAe61rSZKHGyVnKUlG60BL1VbVmN/o4Dldc5s0XqD5 +7urP1txgtSMlU66zn6j+TfVvqF0tPuNEv0Tt1oLPcVBr5mp8qN7jMxPzGqbx +p5rvpzOO1e+NkmuJvg3X/GL1I9T/qN762yEdPKJ2t8YNotuuc6fad2Sz9pce +rtLv/Zl5vq2+XEySUtH7btbcmOAzJs7FuF7fl2hdg/aeoLl7EutyuvTynn5/ +jU3qPO4imh9qfqjG+8T/Rq09RuNxop+sPU5SG63xaeLXsezfX0gXO0PmKyXn +Wul5iNblmj9Z38/X/Nc6yzTxvl17da33GJ4rtO56/e6n8V7t9wvN/zW3fbEt ++nm74PmZGheKlv9htZm5dd0i/dys+eVq68SvUf1t6qeI5oDWztba+RrXau/L +1P+zxd//UOfftaKvKdqPT8vtf6eo/5lsO1ztwhp/Z+9tot+kfmPRdupdco9M +kyT/Bo0nZ5Z9Y5337Zn7jD3Ur5EMo8WvG2PxaC2abrPapjqv+0Fu375TtBdl +PsOF6rtqvi+6lPxXxtlnBu3mWDtC/C7X7+mJ7Y2ekG1LxfNV8VmjdZs1ri/4 +LPjcOtG8qN8/0fzYxPbcETZFTmSbofENyFxnmtbQN3ZZJ1+4s8Z8N2g8O35P +VT8/4uVwwfEAPuzRfKb5Dpo/reJY+a/OdVfmM3LWUyuOyZ0aP6K9rhFtU8H9 +tTFuV/JvfGyx1nYT/0Xql+uMqdog/ET7zFVrX7Ie0eelqWOxRXO7Cv4GT/j9 +R3t9pda+xj2/O2i8C12pnSv6e8VnINgj2S7Qmjnif5a+fVj2fvAjPooF4xu8 +24fM0LSPvU6OMyD/l7Fvo+a2Kob6tZj3zqLxh32x6aqw60TR9BfNJWXLVhXN +A/rWqnNXtW51vVse/Lun5jFQeh0Q2IPPfJjZ1j9XP1K0I9S+X7R9wJsOISd8 +6qOvxphzdIhzgelg+5upMelW8RyTGOeZx8ZPFez/2JgYYNwq+kEa36u5TzJj +wi11pmmn893eZJ1+njlG54j+49w+90luPT3UaF0tLno9eIJtsXF/8DD43p3Z +R/HNUsG+ODxwkn5EjBemtvlG8d+ouZH1xuxUc53LXruoaD0NS4zfm2PtwNz5 +5P3MOYmzQNO/bNwEMy/IHLNn5PaTTm2+UjRGowt4MAarWQMdvnS21q7W2vsy +yzUiZDu97DyJrVg3MficV2O9DwlZkAnd7s7tL98Tfv47837IDs73DTnfy3y2 +GdLH/pL3gH9nyTlP49ag7R/0mWzVo9nn7FBxjhyjfqzm+7Y47sHI9YEn+Cp4 +hC+Bx8OLxq7BRccTsTBNtv+g7N/tyUsln+m3UTNQO4APrMXPLxbtWyXb6DsV +57Rfq7+i2TFDvEA7IvaiThmpcUPorS5yDDUAOqOe6Ki5oWq/Kng9vjY4cGFw +yLlS88OKxlBohwV9228wkzxCvgFXR4YM7DtAuvmi0b6FPtaX7adbsIf6q9Rv +VTtX4wczxxy1DXH3fG68fU79ptx4dUduLATDygXHyobAZPYcGXmC3EadNZz8 +VbBtsUUXybJeMi2X7iupa6Z20uHTqX3mGvHf1ui6ipoKvshAfHQqWl+cHUyb +X7AMYNuXgat9StYFeihHft0WtQr6vzf0s6psOdkTO6Gr2yLH4y9g2IDwf/oz +Y7wjd406ixont52I6flBB+5hnxVly3ko916PUdsWnefAL2ofakBqwWmp65KX +pf+PWpwzP9D4pqLrJPLiZy2Wvb5qO1MbcUbs9mTBvCZkPsPEzPjMWahV3s8t +z07tMzDOgrxgKXUe+aZHyWPqPWrDBo0rtZ5rCBr6L0sec4ZSzKNz6pW2Ooae +PIK+0Tu55fHcax/LvQdrwXDyCzZA/9cEboAf1FYDQ86vIh6IBWQfFLaYn9ov +Fop+vGRdqDZHNK9nprksNW615UNyS2tgAr4ExiBDp3r7NL60Rue6Wb/PSowH +l9QaE6iV0csZVeuhHPpB93wnnv+cOaaIrRdy8zlR/e6C7YSN+uj3Ms33ju/Q +s9cLsu+OJuMOccM9BWy/NuqQdiE7dsWm5G3y9+qgpbacmLiuXBV3nHeFSzcq +ll6t89zKmO8V9yDoD2eOm+tSY/+yqG1+GTbYnnsee2NrfBIdITP+hTzEy/KI +G3AP3W8MG1E/r496eFLF+Zq7Gvssj73uSl1rUp/eGeNXJNfBkjEdPIc3e4HD +7E9MsJaYWh3jb2rHOtf/HSPOmKNeWxM0vy1bj+iwZ8m1Lnbc3+K73pPad7Tk +PEd66ipZ+tZbDmTg/sB94eKK/adz+NDMssfE++WZa9wZ6t9psY77VKxH9DlV +851kl88anZu583HPI0ePipxM7cC9bn6NceiNiv2TOnSK6I9X61rj+wZ6fV7z +s3Pjwuu5747j4/74j8xnuCT1HZYczTl3pc4rB3PrqWPEI+foFGfpGOMxgeH7 +I456is87JWMX8Tgg4rSQWq9vS65XM8t/T+rfzD+ruRNE+27JuS+v2F8T0fSU +TvIm53xqxVOKrq96NXhM3UVOgR4f5t7AubDL0MgL2BrdHCpbP/h4r4gjGjUV ++eiz3HnwU/Ul7ftyo892StRd7LVHsq0Uj22p56n5kKdaNe89WtskWWbVug49 +lntYvBHQ94x7Pt/xeWgGxX2fe/8jOut2tWUNxsN5cf/FRscHn6PrPY/+iaGb +4150YW6+gyuOO+bxg3Fhc3wX+3Rrk6HkWoV57oTcr7hb7cos53mp+a+LWFsX +NIzbR61FzTU63jbA896hW/wbDAPjwATqB2r71YEzveMNBf33Cv/jzrQn7irk +Uu5v5Ly/ZaYlFtHBCaGHpzPvQzyR/8iD1PW8DZHjqd+xFWPyDzqbG3qri/xD +3TUkaq/BQTM/dI6/dI4a46N4U/o4c868P/L41IrfCy6q2Pc2xr0YW3cPObuH +D6Bz7u7EMvvCj/pvQ2ABZzlV8t8gv9vdFG8k8sP9zY5v8gl5h9qa/A/motuj +qr6LHV01zvENrCtVjGFX5H4vmhvn4s7CXYLaHH6jo16/Xvu+o72e0Nm65/7W +ixosN5Y9k7suxK7rpOO9Gi/Q/Eu544f4w57g7tLAWeoaxmAstc2NITN7Lyp+ +G3+LIr64My0ufvt9ccxT76Vxh+Kth5p4cPj98qir2/INPo+fHFf//+902PlP +qevjByu+W1PHU9O2yTo28shNUV/h72vC53mT5M0KuyyKu/+S1P4yL2pOMOzY +sHtr8BwUPoaOkQV/Ic6QuTm1j1PfwYPYhs9Tmj9J+x1b9dsYmAn285YAprKe +GubDqGMWxHdyBLmDd0Pi+u+5701LxW9fzPM2wj4dY6/W2Je42Bw6phZakLoG +oBY4R+POotme+V0WXaCHKanP+6jmt2a+Lz2kfl2j3+aw1bmpMWdH5jsV9z1q +NvZnX/YfFvcdbANtl4iXEXHPog5k7piYp6abEHVdt6rzQZeqv0OH/8+Kmpz3 +Y/BvfNAfDj0Rh+gCfZFniU3e2ZjnfYK3KuZY+0bok3dE3q3gzzvTltAnb5+j +4j6OjtE1+Ao/+GBj9t0Y42VBw9rHI/+dn/pOWxdx2jlshH648xCX4DU6bbsL +zg9dQs+5u8bZwSL8FjyinqGO540Y/N0ZPn9kxTr5bsVxsCP0DPYsbbF9B6rf +2uz8yZsuWA9uoq85IetO0f9GdK+J/qiK7XK0+j2Z88c56purfo/h7e2iwMyp +qeN3evjz8IjHb2r+ksfUdTtDNmR+SX5V2+j7Nvn2UOAzd/0xTc4fo1LXdveH +v3GXnxx3oWOihkevncL/a3KPJ6aW/eFa5/Bb44zFuCPk8cYF1nI/4W2L98IF +kauQcWfMTwgerOedB3+jZoNmV5zxL5KvHfGS+42Mdd1S+wj88EPexIn/tzKf +mXqL+OTNbGTUHuBK38C5BzLn3NHi88fUde2Luc80K2Qa1GKsx5/QCXeVIYHD +8AXLqW1Gxrvc5anffd4V77XS8dfNfiOZk/se96j6SanjYkrF+t0d+sYfT2xw +3PBuNDzq/55Vz/dQv7bB8dsvfAAcx+4nRV4jv91R8bvpcO3zWGZ8fyJz/YWs +fBuRuocWXf24bH2BAdgJnULLXm286LtWjVvnxZ2ZnH9xvLldmfp/G//KXJdP +jXczeO8PexAD5FdikBjbG2+Pnzf6nQV+Z6q/r8mYMafJcUVM8f8JdNO96rsg +/vBk+B22qot6n3cA/KdPk/83Qy11unic2uK3YP6PxP9o8MU98YZKHQU+8AYC +RpCruTtz39gSvocPUsvMjHoGusmBJ9xpDkSuGpPapvgXfgM2gEXkKO6RxOLC +zBhwXWbcYR25am/Uuegkq7je4P8STVEjc0beXMAEsIB47RsxC04uDyzlfxpr +w0/A3WWBn+QozliO2JgU+QuM5N0MDDiYGaMPxP+wwENqI7ASvyXv886Cnn+a +Opei71sCz9kf/Mf+7IkP8IbUJ943aLx1UNdxd+wZeMu62VFncw7GzC1t9D0c +3dGmxN1tX5wLmqcy18m71Y+rWrfo+Ll4z+FdZ3fQPJN5P85FnYcsfeItiLme +cV7ik/Mernz7/yRo+lSdG/gfJv40Lf6/8D9mNWwq + "]], + PolygonBox[CompressedData[" +1:eJwtlnls1FUQxx9btt3utr/9/Rbw4khbKGKASiJUCAhERTC2HC03Ug5RjFoO +o4Eq0YQACVpigAgSQNviBQRFFEMLRmgLiFAiVIjcciNQIEKBeFQ/X8c/Jpl5 +c7yZ9+bKnDy9YFrIOVcFNAc+8ZxbHXZuFZAbOHcKSEp2LoLQSXAH/6kk514C +cuPO1XJ2N8VkZoNPgp+L7jqMjfWd+42zJ+Ddg/4l8D5pzqUA59GZGHFuKvL9 +ke8LnER+JHQmeAawA7oDso1R59og2wMYzlkFttcAI8BHI5+NbAegBroI+lwz +54q5bwv+FXE2G/wyZ+PBj+LDvIidvQ7+Vcy5snRkU52bA2xHpp3iR74LtoYm +nDvOXdXIvQy+Cb4HfwlQBr8RGxURezO93TF8fRCfe0UsxpG++doA/h2yF6AH +IjsIKEb+fWTvoNMO+WtAE77k8sx5+Ofjf2WayYjXCf9KPPuL5UA9/LXwuuLb +a/B9+KfgbwJfBlzlvrPYW8hfDQFaIf8h/DLk3uH+bPh34JfCywPi8Hpj7yj+ +nMXfCdiYj78n8f8EMA/8cWzMQnYb0BH5CdCvhuzNi8B7Y3M9srM42wC/NW+W +4L5R8NtDFwJtubsN8D323kInQ7kB/SK6OcgHyK9Eviv43/APg09Bpgn8uG+2 +G3SGrS+BOdBPot8H/fyYvYneoh7/y4hlBvSkiOXhfmSmR+yN9Fb/EH9f3vsY +NkbELSbFVgA8AB0BFoAPA+4H/xz9v7DTCvl5ylXst8TGdO67gc0q/GuFL3vx +71vwTGKoBe8MPwv8IGdTneVwPXgPdAfHzNc3kLnF2Ub4hdhoBG+fsNhz4GWD +V3OWBe8C/7MVXz6LmQ3pyoc8fPqR+0ai8w2ym4FRITvLh1fuGW8pNg6h/xP8 +Mdz3Ef4cAL8c2Nsrn66AdybmScR+hvvO6B7OUol/O/zUuPUI9Yq50B9je5Vn +uSud9vB2AuFki+k2+hd9y/21wEZkK4AVYespAfZGE2N51P5KvaPJs9yoI7aB +qj/o9dBPA5ewtRA6K2Q5FUK+AN2+6VbLRfi0Dbo/9B7VPDHMRaZdsuVAXWAx +KtYc3nEi9uuhM7HnAXM881G+qked4r4G+MuRfw7+p+Lh8+CQ/fFA6Mfgr1Mu +E093eFme5b5yuj/2OyTsL9Xj1Osehv46ZDXSDTwjYbmiGlWtqpe0wLdHI9ZT +/sT+BxHTqYMfwOuITE/OcoEKYt0atViXKCfhH0q3HnYCejz2a2JW00PAT3uW ++6rpZ7G9nxi74Fsh/1UH/rb6Q9TqXzqPKP6w/Zn+bm1gvV01sQ68Zdx6yUK9 +Pfwr2MgP25/p7+Z7Vjv6s1+RvYVOObLrod8Dr/Gsdw3AXin07aj9qf6yLZAU +tRmi2aEedTdqPUu9Sj1UvXwH8S1OtZ7eOm61rBpWLauHKZZu8PZ5VkOqJc2Q +WnhViiFsNVMJvgj7l7A/JtX0NGM0azoCY9DPCayWVsMbBm8GdJy7rnE2U/OF +s5Xw+vGeG8HHovMQvE7ALt9miGbJYqCr+lfcevVwciYP/Dx3l8Ss98uH9ITZ +Vs9KA+8SmK7uGIq9yZ7NOvXkI77NUM1S9YxR8LoH9rf6wx6B1bRqWz2rEtnt +3JURtdzRGy5CZlCy5dxO9EvTLaeUS8e4s9C33qGelgT/rG+9uBEfTvs2u9um +2d9phvdEv5KzcSnWkw8H1jvUg5rJd3TywpYzMz3LbT9ms185Pg1+TXPbObR7 +6M319prJzyBfhe1e3FGSanf85wO+DIB/HrwUmTcj1gPUC3YBf6RYT1Nvu+lb +712DP7/rrwOblcu4Ix96G/TFFPvD3dDnfLOtmlftJ3zbPVZonmu+AmsiluM3 +A9txtOv0A17Al0TMZohmh2pcM0OzQzm4xbeaUG1ox7gNvjluvUczcQT6O33L +Rfkk37RjaNfQDvYLvGme9UrtHNo99gIFzmp8H/hV32LVmzeAN/Hey4Dr3DeF +N+ydsF6vnE6JGy87zXqNZDoHltt6w93gz3s2mzWTT/gWo2LVznUEfnf+pixm +tvVHryBT3dz+tNi3nUC7gXaw4egeQGd2xN5Qb6meoN6gHlwL/wK+vBu1XNzz +f89R79HMKUH2C9/+TjvVBvAWxFCKb+WqH81vz2pNO8i9mv8J6w2aAYmE7bDa +ZbXTjPNtJ9RuqBz6Gft7fKtlvekP4Nd9s62YboDv8iwXVEOqpfvitktoJ9Nu +tiCwWaMYDwY24zTr1K/nKtcDmyXyuRr8XyOglCU= + "]]}]}, { + EdgeForm[], + GrayLevel[0.49791210503838196`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmgmUluV1x9+P2b5tvmVEBiFRWXJiwAUFYhoVSKNpTKqiYTMGUIwsplEW +gZCyhcS2SY2ItIhb0yKQJoe9JFEh4sbIbso+o3Ej7PumogH6//G/HHvOvOe5 +3/Pe5z7bXf73vtNm0IN3PNAsSZJrK5JEf0l1MUmyIu4vJ8kjmSRZXZMkr+o5 +pWe7GGfqOZNKkofVPiH+fqLfrUySu0S/V2n6GvW9X+nf0H+QvA9Et9OYEQWP +31fSGPVV6t0/qf+FavNv0bv6So9n7J6S51qiccV0ktTo2am5llQlSW890/Vu +WsrtYvU3iv9a9Q8Sf1892/TuFfXNr3T/cPF8qL4J4v+F6HdLpheJ91G1t1Z5 +fb0KXssKvV+q/h0aP1ftHJ3Jsxmv+WDJ/AfULqoyjYxflMz/c7WVzdw3W3MN +lsxDkvmO+l+QjA4603niG6Lfu8QzWO3Jkvd1Qu1h3cEz2u8RtbPEP1nPFI2Z +qDEndW7jNKal6P7ib6G2s5456hulp6voLnoeEt1K7QDx1DfzOSGfdU2VvJYZ +8zyq9tKMx86MM/0jZ1Xru19Z9v3cV+VzuUB994lvgHheL5leJp712uOvteZP +RTeJb6j67xHPHvFfobFD9Lsx5fZu9b+hsYNFLxf/XvHcW+Exzcqe6+eSt0zt +4jj/7SnzD9TYY+JfoP4Jon9V7TvmfumbH/3DJX+v+B9Uu0cy/01r26u2T+hG ++7okuVpy6jW+s373zUrftecxOovdOa1P9KqM37cMHvYHPVty+2i9HZtZ/+eL +/xXxjxb/MtEv19qGtur95XqmaGx38ffV2o6wfslpq6eFZB3Tek6K53Mlz9kQ +8w7T3vtWePxbGt9fba/E9oBd7Bd/ryrrH3rWVXubKbqL2r56N0dzVRUsA3qn +ZPTRHldI/ndFr9WYtVXW8eFaxzcrva+ONdbPj/Xueo1drXZN8KLb8OMPloQN +0sc9cUc/LNjGdmn+5prrJc31Rpwhex2m9S+SzC0asynu7j+qbQuPaN3PScZr +kjGhZJ7xah+XvI3ifSmx7qBL6NckvT8rWROxMc3RNmN6VoX9C3bKvq+p8t7v +LFiHXpPMdSXLWat2n+5rrda5SeMbtOZ13J32f0K/j+s5oicp2l8N0xqrRGdE +D1L7kt4tF++yGtv3qSr7lu7h4w7X+mzrY+8HNNcG9W3OmPeTKuvqPZp3lfp/ +kvL5n4r+v2rNp7WPezXXn/T+oMZvyVjG+pCzG1+G/0usdy/mrHt56df7+GY9 ++/X7LHqMLun9/FqvfZ7aJv3+o+hbtN5b8cPiX6z+P6PH6n9b7UL9XpFxuyDo +7er/tehlovdo/buznnOu+rbp3Yv4mJJl7ivYd98S8vE7+Khd2u+Oov3UB0XH +CWj8FfZxr56ieBZL1gPYk/awV7KadD4Dy9Yz9O0B9XX4fz7mt1rDb/Qs15gL +JePGlO2ur37/XaV9Z4P6Z6ttref6tP0ocae3ZO3X/f5O63mv6Jj0sPrmlc37 +F/U9nXEM5K5Zyy2hzyndXVJjvq06g9m19vcT1de12j7ziozp/qK/ofk2JI4R +00UfTqzrg2Mf+LoGyVmp5xmNO6x1jdTYJysso0vI+WfsLOf4xPtRoW/YNDTj +WumsbkcnC47JrSIu96x0/zrxfyAZ7+t5TXJ+L5k7RL+e8T6ei7005ny+nO07 +opeIfiVjWdxbSeseJFlrE/v/d8WzVDyvojPV5oPndp15lZ6/TVlHe8YaFmit +t4k+IPqOSvevTxzHWoduXFnlWIEfeCbs/iNiE3FM41c1sy+5SvzfS3xOU+Os +zuj+Oqn/tNoZ4n1M/ZPRjwrHUeLgdWnL6By+Z3P4nx4p6zE6jIxp1ZZBy2/k +M89jMRe+DR9HbCJePF/tGNorfDaxuDHsl/PiPDgLzuGhCvvou1KOab8KPzk3 +Y1/Mux2xNtZYm/J8zHVQe2vLGRbtoysDIxGP6CemgNdYD/GL9oVYG7Eemvf4 +6qOJbecx3eNY3WNvzV8pW/+R6OtFfz5jmcg+IBvZgmzp2FLxbNaYr0n3p9Q6 +vhJbf6C2g34/pb1epfdfIm6mbUOcLXYEltkacXNW4ETul3iL/ImBQ7F97BD/ +vo1YonZ42n4CHQNTEBOJnfRti372gA/A5p8u2xfVaM0vFK0HLxZ9P+BBbJP7 +nBZ3+mzK8ZB7IS4TkweFn8XfoqvPSf6Teq7S858Row4H9iRO4DewA+yBtX87 +5bvkHlnj9lgn/gQfhd+eVfA+Ope9f/Qb3T6pObrXOKYvVDuhxn7m+aLtfkDB +MrfG+cwo+0yH6P1Gnf0h3cHWjO0Q/UP38JfVot9M7JOOxdoOcffqXyP6/hrL +4V7m5eWDc8aUzdVeLLlfTXtPx0NH8UMjwxeBgzmHIVrbRxnHpx41tld8L/sC +V4I1wWr3aM3HwN0F729i7JGc4GjozBXCc90k58o669nokNki7RgAHzqHPnKe ++M8LQs6lxAute0T4krOxr1LaucfOsM3asE/yiUM1trVBgQcuKzle7a9xzLo/ +5f5hKcd5MCsx/SD2VGP/xt0dFl0nnqcq7NeRiX8DE+Pj6iTzgrTH0ZaD5h7q +gm4U79vkaXreCvoCyfxSyTkdud3nAuNjU2Cq6eHbdsY5bgr/Voj9Nk87nrNf ++krRfzhiFf4Ef/lpje2Vs79Oc70helXZ/dUF5wbc5aslY31i28qS4zW5ATGb +PI17BpsPjpxoF1gy7hD9Xpo25gR7gpPOVPvcFpati4O1xx9XWE/Qz33gHj2r +E98nPNzpmWbGVJz/zMCy5DzfJ75JB/41MMLpavuI35ZN/6Zsu9wWNrs25iDG +gf0X5Kxz+M7nw39OKjoHnqx2QoXzEWwKjAAeI5YR0/gNzZ7Oxr7O/8YP4ANS +gSs2xB0sDh3g/tnvg5Hv7ClYXir0vE3auXohZdlJ9IPHh9YYJ4wIGr3FRofV +uI88oGPo7YIa42cwCXGoQ/Q3lIxVvovPzzi36VRjPvrvToxnO0ZOAf5GTj/x +/41sNa1zqSzaFrFJ9AC8TG7GGm8IecRi2quD5p7P1SvC77G+8XpeLjpHXlGM +/cUe1xWtB2uLtiFs8GCs7ePA7fThB9EN/Ddy8NvjK6yT34z9gDu493LRPhnf +zO+3Avv8ntwhbb0lBvWPHI6aAjH2O+K/IeP4ib3gS54K229o5j2fy0krrGv4 +bfBv64zpvhGbicvkaMQj4tLKjDH7eX/QGH6AWg7voUfi53L2B2+Sn+Qst4Xi +8vy8sdLWtH1JOWUs2Bi+pV48i/I+Z/wpa8BvcGbgNs6tXSlsrOC8BVtrW3Ke +RF7FGTaQn6Ts58EUU3OOyUske1TO9QhknQ5bZtwvY+zCCs9FnCInox98wBqb +Yr/EiIWhD42BrbiXm1POtbHBn2ieFZrvOs31y7Jz3wat+bD6N5PDqP+HadvY +D1LOb6m/jIs6y5zwpeAAcmLOivyQNZ2VnAclZ5PkXJRxjYnYv7tk+8V2wRW9 +0o6zxNuWWcdjYvGBgvWbuAd+INclLlELmRj1EOacG/OSfy6P8/lHzfvjnLHH +zfGO/hNp1/Ne0TOuwnZHbGqKOh/nNlrjHtLTRmOX6mzG5JxX3xN+FN1/Wuv8 +n7xt5natb43aO9Q+kTGOO183XB0yqWtw5kcLtm9iNzoGxj8TfvgSjbs0bR+F +zbeNvG9Q2v6L/npqLxHHqcFcFzbCb+I7tsD7FsFD3vBe4DHidvOIZW2i7kXu +SdyrD/5JKeMq9BLsQk5IPogfZC3g695p3xn3dUfaOQy63zPt39D4kJ5BkyeD +yRk7KXwweLtfzIH8tXGX6BH7+E7Ip+0d9LTIKcg1vkWcTPtu0Z1+afeNVds3 +6OkR4xcH3jgQMQJdxF9y7/jgBYF/yOGxeWqMY8jn8vZP48OvDgz/vzD4x0oH +1uQd70cXbZNj1D4ufXkn7zz7pzWWh35Sg/lD+LJZ8Q47+pnk/DnveIsu/zT4 +iUEjIs+9XzxrxfPvaevOhNCfc/g7dOw87mHstNg7+Rqx/XydmJrmtNRndaSm +8OWvht/ALoaob3D0k3PNi1rigKL988Ci72Fq5Iz7wi6wD/wQto+tYVtdowZL +jlEftQVyyobIKw9oX83zjkX7RdfljTV3F4wVLpbdfKL+y/K2jx5qv6jz/X7a ++dzs8CNDI7awhrfFX5U1Br1S/K3Iv8SfKdh33C2ZOwuOZ+1Lfn9F3jzYdLOw +63FlY6PlBeMY9JX19y+5xjpAbW3RNc0T0peWklOvp7vkXKT2csnpkfbdPpz1 +/ZLndcrZR5xW31+ztm1qb/tzrr9RJ3gv51oB+z6V9d4/VF/XrPOQHQX7ry9q +DX8pGPO1EZ2I/xbmwsfj/7LOq29LG7+CbY8R97LOSzpl/Ru6rLH7suYjd7kw +Z/ukvl4feWLHvPfGvi4SfSRr3/E70WPV3w4sr76Wefsg6ogrs1FL1PvOWePR +kt7vzdontcp6rayzS9b7ZI8Xiudg1vj+oqzHM5Z66q6ca6rdxdNL7+4kzxD9 +RNa12sfDBtCNzWXXHS4vuD7xXxnnsHxPwA7Hhc3Niu8L1FJmRw6Eji/KWM/f +lfxhWdfQVwV2X11yrr0k6nLsc058H0H+c5H/Phk0c1HT+FrGPq+TsF93eNR+ +Rc9Noq9V27nOPNeo/RfNeWPO+Leb2rvyrttRH2+ItR1N+67QUWICMrGziqLt +EIwJFiHWfFn0+pLzqw1qv5d3PYK8EHzXrcJ+tYf4ZlDXKLiWSmwjnoGvuwfu ++nzJ/Md0JwMlIyVZQzX26bQxGXirZdR+wRbgDHAd9n+k4NpWa8noWfa93Vr3 +2XmBOYm7TwVNzJoacYs4To6C3+JcJ8fZElv6RXyhvgN2BCuC8x6N3A88+2Tw +c0/UC8mJRkXextqgZwQu7YAu69y7EZ/VXpN3zGuLPeYdC7dErY3YuT1j3EKM +IS6NjXhE/gvOJufHX3CGI0q2mfYZ46umjH9DU0/El+CT5xZcFzhYdjwgloKT +yWXORA4FzgZvUwPhjKhDEOPejrhAfPhy0bWapOAaz6jAACsLvh8wYGPZa+R7 +HT4U2yL2Yw9t4y7w90MiRlDnYv8byr7vuwJjNwX2Zv2nInclFvFNb2tgx6GR +3yB/QNk+H9+Pf0SHng28MCkwCfY3Mm8b/GqdfSC+ENtAf8npOLMTcW7VZX9D +qikby7bKOP4To8ZHnJoY8tEZ/AAxGN2gJkGOXRexjDPlPKnNzIj6zEFwasb1 +lI5x/8jpX7Z84syx+EZ1vOQ9TAzMDx5kv28GpiTmnssXtb9p0q0+nHXG9SZ0 +qr36rs0b31ys9tOs8WIX0W1yxkqjy9azprJtdXSc4aCyYwSx4vWCdZVvTRUl +x+ib6hzniHfNpSOnJO9j4mbK59UqMNO3sn5H/7dFfyr66ynb/dmcbf8ror+Q +s+7/fdYxiXjEt51BWZ/pY6LX5exb+RbXO2u9Rd4nIZPvRnw/mql1XiIZZ7LG +xFeDBXLGl8R9cktiP3ZODkc+gu3zG5r8OBM5MrWcD9KuUbIOfHcp7K4x9okv +w6cNLTn34tzAjWA36pXgN+SNi9yBmAFuBHetCf+ODaDn1IXR9VXhU/At68vW +lSll69Hk0AfyeuoG2AN2Sf6Hbd5eZ39fqjNWOBp+nnhGXHu55Dr0lJxz6faR +s+FD9peNGfeV7SfYM/sl7yDWEA/AsC/lPqtbIYN1gq/5JrYs6jTUJ7GFYsE4 +8qNafxvk+83swH6PRB7K90LqxtSlL5Psb+S9pqMZf1M8EnZzMGpbGzN+B//2 +0HnOHB7mxa55f0zPTSnno4fCT44JOdjgiZADz/6YA/m8OxBy8Gngxzsjd8A3 +Y4P4KuoG+I0v1PkbVTu1OzL+zoNManjkDOB/dH1I+MLpOosNOeOAo7E/9oKt +9ok51uv9tFp/x+PMsAny4J8VXGP777L1Dr9A/AUDUROnPokM7oF+bH5Q5IO7 +ghc/xncA6jfMy9mzBu7lUPgRzopvdhtjbYdD5+lvFTQ2QtsU/ZfEPPno3x48 +xLftcUecAfk6/ov6DN9mscP/1V77Z93Pfo/HGVK3IC+kdsEaj8c6N8X9box2 +U/AfizOlH8xxY9wX9UX0H39LfgleJldpF+tnT9TJOkWMocb+YegwsneEfPw8 +NWj8D+9PBs/J4CeuNsYZsudmJX8r4ZsJ+AscyvngA/hOSJylXkQdCp1Cxkeh +h8vj7pkXu2c8tr8/eOrinE7E2n6k87spZyxFzWlF1vkotnpD4BNydGIF+Jz6 +EXkn+kTMxw/hl8CP/fOOkw/rXlpnrQuj4n8ehiWeZ0Dec/1J9Mxa1zJfz3kM +/GA3vg9wpk/ENxS+pWzi22yta35fr/P3uRvr/G1+anyjPefTE+v8lPCBj/A/ +QWWvoa5kHIBdgm/Amdw3dw22Rrfw6e0K/sbZus51l4ei9kdM2hd1LvAg397x +zdmC60f3FV0HHRnfhcFK3QIvXZh1TCIe8b3u2Vr7jH9Q/215YxFw14ioY7De +4SEHbDs88C25BX6D/IK5hkYNmZoP/dR18QU3hw7jt8aEbvCMDn0D84KDwVr/ +B33JVxY= + "]], + PolygonBox[CompressedData[" +1:eJwtmHmUVcURxu8wb2beu/e+lX1QkAEPiGyyqEeUgbjlxCiLLKIOICqoJyIo +S0CISFzQeGLMIgiak0QgIQEURA2oMCIMyhYTFoEYRYhsAwwMuAvm9+Xzjzq3 +qqu6urq6u5bbetR9A8c2CILgB0VBkOCbC4Pgx8C10NcAY6Mg+FscBHeDN0sx +Dt6WsaHJIJgMvJMJghdRsAM4mg+C9cBXZUEwB3oK+NR0ECyOPfdpoAS8Bv1P +IfMmcCYXBFUl8Fn8EXRVQw8pRh/rDYJegGxj4GXNLw2CE+h8nnUXoP9B8EnY +8ghrzIVfAfRE9gxj1zG/nv2sAv85/NnwngLibBD0Qn9v8E4F9gvUoK8F6y9G +359Z84/wukKfRbYCe86w1lmgDfgR4Cy6b8DmY+CXMP9q5Pshf5y5wxlbCl7P +3qrRt5n1n2b9GUXew/XY9y1jWwP7OIS+CJ/0x4YTzOmA7ArG+oLPZexObPgD +9tYhewf4IHhnmZ+GHgZ8Bz6csTHgdwG3M/+NyHtdi47W4BejfzC6bgROQv9I ++pHdhA2toLvDH5i0De2xP8V6IXAB+AXwhiB/M/K94VeBlwIjmDuasePgPWLr +bgycQt+I0La8h0w/eD+Fvhx98+Bvgp4c+gx+Bz2eNSrBD+PfceC1wKMN7OPx ++HNR2ndSd/FN9lTGWA/82xMoRvYgMB35z+HfC+8S9LfBhiFJ39Fp8Hcg+zJr +TMZ/F6LrUmRuglcKXMvYtsAy07U+dEf0VUAfA08iextzHkZ/Hf58lDWaJnxn +dXd3Yt/uyLbtBzaAP8bYF8i/AH0SmQT6BiP/GfjRrHWfC68dug7qLbDGPmyJ +gXvy9n293hP8OeiaA78e3grmPAOdZM5Y8GXAGvR9hvzP0HkU3l2s0Rv6APPH +gD/P2HPMP8X815A/k/XdfhaZYeAj0fUbZJbDG4fMK9i/EHoV9AxgDDJ/QvYe +9v4Str0M7yNk3ob3NmPtWGNKse9MCbJdeA+V8HqhayPyryO/DKhmbD3wAXMX +QM8s8xpboX8NvbPUNuyFfkUxAxvXQv8n8ppaq/p7n8l3igF16H8C+k58uxf5 +x7FlBDbMxZbjyK+Gv5/5rzJ/F/Q65n0S2SbZ8o7uE/v/OPJav8eG0zmf1XKg +D/NPo39ownc0je4bM45NWrMB/G8UM7BlPv5eD28E89+At585T4LXZMz7oeJD +3m9Yb1lnVg3eGpmpxY4x3+puYUsFNp1GZyVQDf5a2rbvTNom2bYCvARfXwH/ +PPjj4V/BWEt0DkXf3ciUyra0dWjuG8hU6gzhDQLqFatYrz0ylfhnIvw58G9J ++Mxng3+CvuHIljO2H/w24ECR32AD5q9n/izmz9eZAE+AP5723V8ANMfGDezt +WfA+4OtDy4inHFCRMe8B1qtE96jQd1J3UW9OsbsLa0xMOoY/hvy1rP1b6EPY +96jOLzat8e/gJ4q9h0rsGwksS/hMdDYtsKEhet7FpnLwTaz5HfIP6b2nHTsW +830r5RiyCLoVdNcy+7gtOqYVe42AuW3Q0SnlnKHcIZ3SrTfQFfxVZGqR7YL+ +hfADYBCfKmTy8Lrnjc/Bvp7gPfLGb2dOJ/g1rP0pNtTIZmCP8rFifJltLMKe +7ug+gfxK5FdljeuMdFbf4p/Z+Ocke2kNvA2eUDzWfQEuAi+XD7HpYODcdB30 +lUXOUUvTfiN6G2uQ35J2TlYu3g5dxRrPFfvNDQdPoL+JcgL86di4Ne/a4EJg +C/hH8B8JfVZDU45NHWLnFsWoJqx/IXSfpMf0hvWWL8Enu9nrIugzpZ6vuyDf +NELfhpR91JyxTcguBL+y4FiyE5mVKceUm+Dv0vvFnnU5xwzFjk+AWeArI+dQ +5c5fMGdUxmsvgX8r/APw34IfF3lNvdU70pbVm70F22cxNj/hukI1gGqBr9Ex +EfxTZA8pz0O/K33Qh6E7Q2/J+a69HznW6869CF0sH5V5D4qVWyLHfsXMjrFz +tHwlnx1h7YbQOfBM0rnifebsSDlnHGfuP9PO3TtTfnN6e3oTbTKuJZqF5qmm +OJz327pfORN/3gC8h62zkbkTfE3sGKTY04s5y9HdO3TsUo4Q3hmZvt/Hs4Ho +28j8jfi/H3hbdHxQ5Dd0PvguZH+FjYOhm+DDxuCX674y9zLgBeUOYFLKNZJy +mHKZ3tjgjO96o8iyuvMt8OlA9GzhLhfgH4P3D+a3SNknf8m79tSd+it4iWrO +hGOoYmlCNUCxc9xl2Hcs77esmned7hr6O5X4THW2ynnKfc3QNwN8JHPuCV3r +1EJfVfDd3MT8i8BL0fFNmd+w3vL5kWts1daqUcbAP17kGudj+GMzrnVUIx3K +OQcoF6jm/pz1b4PuHfnuDSjYBtmiHLWFuYWcc1Ed+/k7eyvLO1eo5lHtMwN4 +HV43xkaCV2HLrbFrUd3pRlnX9m8p/GUsI9n/+0z3OePaQzGyCt1HoG+Adz3Q +FP5GYE+RfbZZ9XTevlE9qNpcNZpqNeVc5d7RWdceitGbVbuwt5+EriWVE1qA +Z4B/4dN5wKGMa8npikfoPpZxLaUcOwq6HfMrY9fOdzB/T95vUz7eDX4059pe +OVK5Ur1EV/TvD9xT3Iy+3XxHo3NDzmsfQWZbyjYoRihWqAeoAj+Vc65VDaha +8Cr2sBldA+CX59zDqJfRHXgX/L2cY4PWqAGvy1i2P9A85x5DvcZS9jMh6xyh +XKEYoliSgd4R2OfNkN+ac2yRz+V76ZAuvYkT6GoG7Ev4zB/KuoZULamcmYLX +KHaPot4kn3Tv8WHkXKAeZELkHk+9XWv1d8j2ie3bWuacA/0FMqcC+7Aa3sOR +Y0UN+16bcyxWDBjKeuPhTUHfL+Gfo/iB/Iehdd2Ozk7qJSPHEsWU7qF7DvUa +tcAy+BMj26Ic+LTqy8i5RjElRn5d5LvyJPJfgxcYqwuc8xRr50F/WeKYewX0 +mdC5c1TSveaDzOmScs/5TOSYpVg1RDEL/GhoXzVMOnbtjs1TDFuN/KS0c6/u +vGKAYkFf6O7g3QrGJ8DbiT9mRvaZfKWcrRylXKUeZG/WMVSxVDG5P/jwjN+2 +crJys3LV19jQKumcpV70YORaQj3pEtkbOZcrZz+Rc+2qHKpc2iV0z6heUTVC +U+QPhe5VGgFXF9yLKUYWs97Z0Gems6pQzwHenvn3grdljS/Bu+nNBO5BhTcP +fXYa61xwb66aUbWjclkt/GzSOe2b0Geiszgv6d62Ap2Dku5xG8Q+Y52tzlC9 +7XnwByTd4y6Fvj/y3ZpZ5LPvEfpfge7ABfrfgEwB2QRQDl7HWBPF9KR7u5rI +ta56vAL8jvDLkrZRtfCK2P8iVBN3gJeDTqteV32ec2z6jP3V49+esXtS9aLa +g+7+ctmc8htIwXtVPS14OTA5sk/lS411i72GdGuP18Teg2yXz9eib0nk2l45 +879Z/+tQTa/avjZyD6veVTFscOieV72uev7h4KnY90s9/NTIPaJ6Q72BpzKu +7fTPZjv3ryW8fOzao1/SNbVqa/3DCNUfIbOnxD23eu/1OcdS1WTD4J/M2Dfq +Yc+F90DkN623LJ8ohyiXSMdhZMdFPlOdpXJ6s9j/JPQvQmd2LPSb1FvUmR4O +fYd1d3UmOrvm0E2TPsMlaf+j0r+p1eg7EfoO6Owlc3HB/4L0z+dS8Ens4aVi +x3TFdvWa+yL3luo5Vav/O7Iu1ez6d9IUmFbmfyhfgbeMfZf1RhXTFdulc2LW +vdm2yL27ejTFBMUG1VAD8v430Cr2W9M/AvXWuyL3euqx14SuyVWLa81t8Ovg +f6BaGdie9h3T3dKY/vXdF5mnf377su79lCOUK/4HoU6vrA== + "]]}]}, { + EdgeForm[], + GrayLevel[0.5887139100503299], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmHuwllUVxt/vcr7vnO/yvu93kptc5MCR42XSsUwctREFTS01LwGa3AXU +ygtwEAETuYRof/SHd8y8HNRGShGbSWfURFScTLMpsBkFxMpSjlqoVDbW8+NZ +Dv3xfnt9+93v3muv9axnrb27Zl5x7uXFJEmG6qek9me1JBnYTJIDq0nyRluS +3FpJkgXqH6GXd0gervY2tbdH/4yy5R+X/PBumNon1P9LPes0pqtk+U9Fv2PO +oWqfLHscY/q03v16rpO8QO8ber+96LG3xVp3qe9myasKSTK7Ynm++kfruzmS +dxTdd0v0L1a7RM+9+m5pyLer/4iS3x2sdqbWv0byPyUvqli+PrF+V4f8+bu9 +JT/079Rasyq2SW/ivkUx/hjpN7o9SQ4oeM3FsS5rLYwxvRXLacltb/Svq9gm +fy7aDr1hC/ThPzZZ10qSkzQmzf1+QXz7A613o8YNVntTyfKyxGusLHmeQ1Pt +R9/erW8fkY696ns51mIN5hkley6R/HbYHxwMDd/eGv49MPeYCZltMCuwsVXz +v6TvvtTp9ZqhwwNV++EmyQP07UZ8oG/vDBuCr7UV/79bci312H5hca70/Fjf +T9G+Buj5id5/P/F3d4b98QfrL5dcCKzdIfljfXt9h2xTdbs8ZPppL9J8q9Wu +UP9EzTVeen9FfUO0/iaNWaE5K3rGlIyXHwbehgU+sSW2TWOvN8V+L1D/Qx3W +7Vrtd5n6v6b9flC0/H7RfgcTfDuwYF2u0viXM9tqTma9Lg3dsMudYasNah/T +M6RgW/K/R+3zmu+P8tdfNf8U4eR1yX/RXqa2oj81vugHY+e07C/8dnH4EZ3Z +P3ZYI90vUN+FFeNkmv4/qu+nqz1R7UTNU1b7t9R7G6T+Nv3fqP6NmqcoeYPk +ByQfJ3l9m/0yXXtbi63UvqVnCD5TW2nZBiMyYw7s4dvJFesxFX8V/B+uGN9u +/02q+MFO6D2j6v2A4RfKtstjiX31cdm+uiu3fIh0H6znaH23K/NeWevAwn6u +waendZhn4JYFVY9Bj5+3+xvG8352jAGP2HOXdJjQYX2w7azgK/AzrsN6o/OA +1LH7rnS4T2PqsUfahp55kjdozo0V26AjdRzsVoz0avzjoQPYWxt4gXf7Ko4H +/HaP5EeiD64BA/jvnaJ9xBy/iHmYk31uDGw9WnEczFffvKr/393y+CWZbbxe +8uayx2wIfLIma7PHT2SrMe3WAdvWY1/gem3YZ19OqFj3d+X/N9vM/0+3+/++ +fFR1/1vS+3LpsFvy91qOJ2RiakXBdoOHGftGfHtkyftn7/Rvj3kuAseSL1T7 +cMV7IY5GlfwfeWbL4/tT75N+bPcd9b+n/u+q3ZYaE0Vxye7UOl/W8nzYiHmw +M3bFn72y3R44ODM+m8HVF0TMgXnwBV/z/1eZOfBitVfr2au+pbnjD155JvHT +z1i1N8hWp7Q7L8Gjp0oeW3COJ37AX7fa2e3mIeZgTuKF7ybEt8TU9KoxDbbg +Iez275IxviIxR48Nnt6qsU+1mz/ZJ5gdHDFFrgLb5CjkZZG/Vv2fvDrGdMGx +wY3NiAV8i67041/wBK4GFVwnMA+4Iv4/gmujVgFDYAAd24LPh+Qe80Fq/y8v +GwPovin0J08+G/Y/We3z7eYs8nx32A37HRwy+BweNRR95Bv4fSW8xv7VbtG7 +V9rNv/DWJxEXU/QcHnlnpJ6Dwr7Hq//sNue3YVETwCGrNdfTkr+YOr9ti9yG +n7freU7yDrWvtxsL12XmOjhvc7yjnz39Jva1Tf/3ttuH+OjpqCvGlYwz8HVz +cB22Pjj2x95HBfeCaXwyJ/yCTYk94o552R8+eCKzrwq56yv4njzOHrD10RHH +9Yhl4pGakrg7r+z/xNTIqFkWRr06POYaHWM3RuxT/8GHXdHCe90ljyNm9lRd +c4Dl7sjVxEJ/Ziy+Rx5vGYM9qXnu0eDIAeLir9Zty9Mz1w/nd7qmXl9zzJ0m ++fG66xHWRx9y4jfUv6nmfEYfulI33hg5l9z7duRKcuYVGr+1Zl89JLlb8mdV +51V8gd22q69e856oQ4+IOcdlxvQw6fam3p9bNx7xx2ERF3DkkWEj9sl+d2f2 +5ee1GHX75MjLrMnaxOmaqjFFP3XQhKiFeqPmhd9mVt0S78TKiPDXcdLpdI0v +Zz5bUHdytiBnkoOp86nxwR+xTt/p0c84YgMZXiO/El/gER3A5E87/A05enLZ +XAaPrWkkybfrjhmweXjgc0BwGja5P/YEH8L/YAZswJGjgycH546TNLMte8Ke +R0QNia97oqakH+45s2Tc9gdeweqxndb5GLXTy97bjsAtmOfcRA0I/qgBqbHX +Vb0GmO0u7Z+vO/ScJJy8KH/fG+PGhD5zc5/HLslde+HDttR4xY7Y8KDgI/Sc +qHmOrZsjZ0t+rWYuOSzsBsf1BJaQyZOjIg7JISOD07pk81LdPFGTvKPmHLUr +1iOnUAd0xX7fif0Ts1fmru2uUjuyQaFkLi5l9vEpnd775qhv4JBm1Bvk4c1R +E1Jr9EW9Ab9Ss8KxfZqv0nT9jV0HBAbmpebi+8QBX9f7lQ1z7iSNX9Uwzw6K ++KA+g9vviRqPuu6YyFm/rdl22I014H/GDtU8RzaMKc5Y8Cm4bcuMg57cNj4s +8Eld8XDUXXM1340Nc/qSlvf7odpLpfO/OB9krtHh8HdT1yCTo56klqd2px48 +oW4ug8e21cw18ExnaqwO1Rz/SR0/Xbm5Z07T/POq5Csl72x3fl4R+yV+OTuR +s75VNnfD2/A+Pqlovi/krhkH5q4zpgcWwCucQv6Fs+Cuk7SXb7bMW2erLeWO +6Spn3Nxn5MWpMc7ZA5xTt55Q3n8WOT76Oa8wnrjjvMLZBozBJehM3H2503xy +VKf126dn6hpyROT6fXmnaj55P7Xfxmr8h6njnFoDLsKn5Kosd432hyxyb9X8 +jm3Oj7uR4bnlv6euF4hJ4nEfZ8ZaxNZ5MR49eLczcuL0WOvx1Huv5eaqgeGX +GZl59Em1E+vGNHg+S+0ZTZ9B+X9y1BVFjSnUnfP/kdqXIzTng5FjOLueEbnv +hE7XqsQC5/lxwsaZTdedz9ac88h31ChgGZ4lfk6JmoQzM+flafLv5Rq7tuG6 +hHyLD/FtM2rgj6TLrZpzUNN24n4BXlyl9oXMdepLmfM3ebyqObdK7pD8+8z1 +957wG/zZH3XOYs05uen6b2nmWnaR2lcbfkf/2Lo5ET7cUjPPgtne1Fjqa/mO +aGjkuCTzeaM7d803KLji4qjtZ6vdnPnuaUPL++gJLt0TdyF8g232Rt2/Oupq +6rSzIy7OVTu3Ybtgk9nyxyX6f1anOWlinAePCmxPULu+ZRzmks+LWKNeWBn1 +3VVxJl0V9TkcBbbBGHXEtQ2vje/BAHUQZ17yPfXiEunyu4Zra2zfH7XZ8MgJ +1H4Pa8w5desBXsHtAbn7ljbcT2wTs9yH3aLxSxqOIe6k0Gmh2nOkw2L1z1B7 +S9P4Gx918c6ojeG/vrh7JL/3RY5/LTMfLgwfloMT0Be9iduTo16m1gJfn5as +Pzy1JuYBr09FLX1f3HOSA7Zkzm/vN51jiQP8QayQb4gX9tcRvITN+Z6YpSYr +hD7cF+DzZzPnuXKMJ78zDzmLvrboR6cbQgdqh/lxlr8/9Lsu7usejDs7YvrB +qBew2baIV+p6sAgOef9AjFlWdq5ZHvcJvXGHsCvOisvj/oR+7hngZHTYd5dV +8bvP73sWxJhFEXfXZObPGXEOZZ29MSdxQrxckvoszl1cM2pheAsfgaN5sRbx ++VnklSlxNoZ/sAVj4Bf2uTW46cXM/r1M82+J3EqOJa/NCmxzf8w9MHpsi2+f +q+6vd8l9vIcL9kbfrOhHl82hz7qwJxi4KM6jnJumxfmQ+pQzAbELb8BB90Z+ +hO9nBOejE2tQY58aeGeP1A/MA58Qo9NiTmoacmJHbs4C903JY/RMpS7KfCeL +Xr+WfGLu8/J/U883NeZEX/o5a2AT7mW4W94UZ1XOrGtiv2Dx0Nzn80Ny47oY +2J6U+0zBfSFnkQtjzuOjRiN339by/f7tLd8hcf/FWYO79x8Fhl/JPOd86Tk6 +95hRuTmNXECNwlkDHbgf+DRwDK6KufMjeZIcA99y7/JIy/PPzXwHhx+ekfw/ +UBgprA== + "]], + PolygonBox[CompressedData[" +1:eJwlllmMVFUQhs9098z0Mn37diuyqXFkEUyMxg1EFIbFAAaIgIAiq3GGcWEz +kJgBBAY04IuJQdEBDIkmGFFk8QESEZBliApiFPDBQUUUEBxkd8Xvz/9QSdWp +OlV1avnvrZ4yfcS0RAjhTSgFzYlCKIcZXR7CpTiEJYUQNiVD6FgWwmL46Zzt +Rr8HmgE/h7MG9OdxMhv+es5GonsUOoevp4shnMLXtnQIFei/hbYTJ4P+kO5C +H1eEsBlahe113GlPrI3IK5ErkZ/HfjlyE/LP2LfnbvvKENYhl+VC6JQN4SL+ +u0AzY+e2kTsX8iE8if1q8hvL2T/4agt1KHPM1dx/GP1i9FfQd0c3kbMFyK28 +5yTyJmgd+fdCn8Z3LbQFfitUB5+H+sBvwGYLth2Rh3L/AvfPItfifw3yq+S7 +Ht+fIs8nt7c5267cYseOkFfBb1XMcvfgIPpK7lTDz+ROBfztVSFc5b2deOsA +6DQ2jWW2OQO/E90w3t2YCeFlYp7BXwv+vocmc384Nq8Q6zfkZ5DvLeEH27XQ +v9jWoJ+Nfj2+jyCfw9e7xB6F/xti13oQZwszrnkT+fSgB5/AX1aPuTML+zz1 +bcb/W+iroa7oLkGbsR3M/UUZ++iCz/H4nggliP1H5FiaIc3SFM5Wkc8k5HL4 +irx9yld9xj1Rb3pDmyPX5ib0ndOu0XzkA8g70n7XT/i4u8wzdAx+BDk2U4t9 +9OuRonuoXibQ70cf4b8m5Z6oNzs4a8f9bfjaCX9nyXf7kstd8J9xdhndn1A9 +9nUF976Berxe9E5ptzQzs9GfijxrfbFvF9tGtnOhNzTv6H9MuIdTkBPE+DDt +GdYsj6OeB3jjD5y1QPehH0Qu70FJYk/F5krSOSm31/DxeIV9HNZ+Qn+j+wva +gz4FDc7Yh3z1KHm3NSM94V9AvyHpGrSJvKPaVWFEG/IfUHIt7kHfH/53zoaT ++/28dxb23ZAnp9xT9fZzzWPwjnwBvwBqSrpHL2o36V0f3tdP+UJlnE1IeWY0 +O62Rd00Y1AH5pYKxSjZdkY+hP5rwm3qVvAPaBWHSaWFL5F4rR+U6Cfoo5R3N +RMYkYZPePBffW6GVSc/4FvizRc+6drAVfhQxGtEvJOd6+N0Fz8ICfD6I7xtj +Y+MJcvoV/9WxsUk9Vq91Jt135DOhaMwT9ilmAtsTkXXCYGHxtbFnX5h5Dfwv +6I+UG6OEVceRjyd8Nr5oDBYWqwfd0XeGnkjZRrY11DuRM5Y+Be3lHWvZuf+Y +4TXQEvR3QAOFD7IpGMvUw6xqjX0N9BC6i9iXR8Yu9XQMsZqEmfAXibkSfmDJ +syqMTyLfEnvX1TP1rltkW2G0sFrYMTrnWRCGCDOEHar5EPjneONp7Qpnt+Lr +AWyXk8+X2O+Gni0a+5SDcsnEnk1hvLBemCfs045oV76uci/lfyfn85DroP1p +44Zms3fOvjWjU2N/G4SZws620AfYdKj0HdWuY87YrRqGnGuuWguzvin42yjM +uYKvddxdjo/+afsYC9+cdS+EacOwX5Y0pgvbk/jrh7/atDF3X8G73UioZvhx +JWOisHAk/DJsx+Tcy6NpfwP0LXiM+J2IP4N4h7E/XGmMke8W5POVjnEV+0XY +nqQW9dRrKPY7sv72KGf1QL0QBu0i/tLY2KAdWwbfgL/3s/6eq0c5+P6qcdox +DiFPy/vbohyGwL+TM/brG3dz7Fz1jde3vie6hqx7pW+SclJumvGA/iC6urzf +ugt/t0XGctVQtdQ/g/4dLjN/eeRa5K+yttUOaLaXVhlrNeP6ZuvbrZmbRqy5 +se/qH2Je7J3X7gtj9+KvFX8rgmvWB92KorFeZ9Lp7dkq745q8D93H1Fw + "]], + + PolygonBox[{{4686, 3176, 2781, 1480, 4432}, {4624, 1817, + 3196, 3194, 4689}}]}]}, { + EdgeForm[], + GrayLevel[0.679515715062278], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmGtslmcZx5++79vT+/Z9nufltCCsLYnFooKR1gQ/aNwYYOmEHTzgBFsW +TTgVhkbmAokj64QycUvmDqGjG/tCXNaY2HZGzT7sgDCUwxLnPJShMVHYB8bY +Umtigv/f/lfDhzv3/d697+u+Dv/rf11PF927666dhSRJHqpLkqLmw3mSTGjj +67UkGWxMkk0aP9fv1uYkeVpjnsYnNEY0Pqb9yTRJzmvunpUkozp7UPu3xXx/ +rL/clCT9Wi9tSJKd5SS5o0X3tdemN2/WOKJ3F4fMORpt8daz+lu/zg7ozlGd +79H4iva7ij67OHSY1v4a3tD51ZUk2aw7E6Ukub3kM2d05gHJWKO/fUF3O8IG +7rJ3b4v3/ykZt2u/s+jRq3VB82z5pEey5uTWeXPofVPqNwqy/bdF69uncUhj +SGOhxrDsP6KxXuOcxlmNMY1M+uyr+o135JcLGtN1PndN82PyyUnp9XDFNtdL +10s6M679v2v+h8aBgmd+X9edUzp7SDJf0Pkj+ltZ4xWdf0JzpeC7PytYFuu3 +pMMOnf+93txQ9PvPo7fknGixT+/RmT6d2aJ1n+Ru1lim985o/9tVx/zRgt8/ +LpnP6O7eqs9uyZLkv9qvyG/92ttUNS7+oLsDWl9osh8vNtzAwJyIV2ud43k4 +MR5eln6NGtuxT7rdpL2r+vtzcWYsfNtQ8IyvHysYK9e1rhWNXWQhp01vLtf+ ++7o/HueRsbrRtq7S/Jre2laxTuAA/H2+zn4B0yvqfG883uIO/rgt3nux0Xgh +bmOhG77rCOyNx5v4DV8QB+70xxvI/5d82CqM/SQ3PjsDZ6d1bo9+H9N6SeAV +HYnbzRXfX9NsndlfqfO3NjoHd2TW5X7hd7b+NkvjuH5/WvYur1ju5QbrDVaw +pS3ydKjsHCO/8BU2LywY860RCzD1x7LtWar1RNlnD0q3e3R3ssnYOVu+4a/+ +uF/UW6MF5xG4vhjYJj8mG4xP+AaOIg/Xaq9H46B+3yk5d2gMaf2B5A9Kx225 +Za8I3Y5F/mLPSNX4Jt7Yis3HA0uXYn098Ml6q/L8Tdnw1Vl+j7wG37w5HDm+ +QfLO6sxc+f685m/q97pm/43zjybmU3gV7D+p+SmNH4HVWC+Ps8Mhn3warjin +iB9xxJ5V4Tv8Bj+ujlhcCx7hLXTfGBjDztGI2URwO7g9JTz8T35/I7NssDK/ +YFmrQj5cDs/yHhheGVj6eMF35odNG8Mu1oMhH3uejFxrU0xKWi8ITroSnIbv +320wl1zV/F6D+asr/PFTnZkq+Tdr8FffaHnFRstEX+b6WL8bMQXDv5D/PlW1 +HZ+tGOvgvBw6wJP4vitiAQ6XRE79R290N/p99EI/eBR8DUZ9xJ5CozmfuRh+ +uxK2YGMp9heEXd3x1qG4w3mwC57gf+Y7AwPDgW3W2yvmJnhph9avV81tYO1E +1XgjJ+A4MID/WOM35vZYTys3NtQrVxX3NTXb8YY4YXvNvLo+M857Qg4z+fZI +nWvysqpxNxn1C9tfyxznLan33on9joLX1Bh04Awy4YjTwXu/y4zdbanxfTVy +djry//moT5Oh/1Cskf9ck3VDX/iyr95+HktdJ5tl69+0Pqf13TVjFuyuCH16 +wi50RFdk9kWtWxp4Zw3O2yV/quj71AH+viJ4YH3E7mLUZTjzpbJ5kPykfnaE +3IcUu1dbzNP8/kzI/2XIZr0o4oVuv06dH1XZ8pvUGEy13t3kc5wZL1oO9YV7 +i8JvHYFR7OLvy+IM/Qt3WNdHHs3k1MKowxujxsEh1OG26M2oweTQ6cB1IbB9 +q3Qa1rxb8RwP/zfl9jv+/2vq/CK3qKfw/eyoQeQcf4P/7xbPnpF/vqV5InVs +z0hmW+Z+pV3z3NT+eiCznGLI3JfZrqN6877UeUM/sji3DT/O3CfRG9Aj/Em/ +y7L7rcy4B//rNB/Nnf8juXXfU3T9+F7q2nBF+3M11urMM3rrc7N85i+pf7M/ +L3V/TN26oPXjNfc4f+aM7n6oM8O59ec8to/WHIfL0uHf0QPQC1CrqcfgCr/i +M9bI+KBkvamN5DI8/FRwLxzwYNQG8g690f/7qf20sGS8FTL3Rx25bcCWr0mX +rbllwhO98ILudqbGDFwMVrjD3brMHDQvei1659HQFf1nR4y6o/dgfUvuPnVn +ZqxNRO3gTFfYPHMfezsizxcEtg5Erm9NzS3wUG/J/uTtU6k54lrNdWc4euOV +Jcf9SGCQs+jzSO439kvOm5lzjZxryc3RL6X2NT4/HFzEGr9MRL6QN9eD29Cf +bx6+M+hBwNRUnMc/vaHn5ogfsTubOd/J+/ei5szUSvbJR+pLJWyhniCXmoI+ +yIcnl6R+h7idq5kvztes74ehw9uZ/U8c6A2fiLfoyeEI+OHVzLz3SmZ+Yg1H +D0Q/SV95OTdffyd3rLojdl2xxrefzK3jQM0ceSAwzLdXb/ONHrczeIAetivu +rg18glMwS+7Pj14MfgDbIzXrzPcZMYCL8efrmd/lfThwPO6Clwfj7snM6y/m +9mdX1P37Mvt5V9So/QXz/K7U9mI3d7h7InOMz0U8R+J7k3qNz4eirk3FGv+D +QWox/Qh17Nkm8/mvxH8/rLhmvF/z/snU3+N8D+AnMEZPDc74Dn05/Detu0cr +/vbm3ljIpNfbH1wAf4/Ed8SlzJwD9xDfq9E3d0YvRCzgLLjrlsy94HR8d78d ++3AbNZ3aQF3YpPerZevK9+5gxTFG3wuhM3WDHojatCv8vFfydtaMZziYOo+v +Zur+ofAhvc9AxVzz3dx1gfrwdHzrsU8NINZ7M+OF+o19H30jl+xzdD0W3wUv +Rk/CGv47H3HcFLwEpr6Uu//jO2Nd1IulqWM8N75hv1HzXf5H8oPUfehU7p6R +u/Ab3xkNkWuDmeP3cOjfGnWWXqYtuG5fk22kpsMJV6JPps7zN/Z5g7f2pOYb +cIhtxH93YKA9+oKZXpo+Dg7/CBsl46M9ekjOD0ed2iGb/g9FwDbY + "]], + PolygonBox[CompressedData[" +1:eJwllF2IVWUUhtecGY9z9j6z9z6TYzeT6cVUEgYV3RVYQuZo0Y/VENmoGKjz +oxaNv5HimGNldVHdOE4SRSSUaJ4KoovUnBGbUUMLKqGIqLwIlcgRAnte3ovF +Xmu/6+f71veuNWv5mkf7SxHRizQhA1nEFH68hZzJI57HvtYQ8Qb2BPYntYhH +pkbswq4WEbe1RHyWRNzPv73NEefwSUg0D8nBj1YjtqcR8ysRpcaIPehX+bcM +uxs5Tb51xH2K/EKtucS/SL5xfB5rjTjCdx72gmbn6KPeOeyT1DvPvy/Ae8g5 +DexmZAPx7dQ+TK0t6E+BfZvY92fkAv9mgh8Cb6PeKPIu/zvLEa9zls3YKXd7 +G/kB3w2payh3B/I+PhfK7tELme/yedWY7jTCna+Qf4iezQb/mhz/Nrqman9A +/EXiE+I3gQ+m7pF6s5D4XvB/8N1HfA/6MbA8MbYIWU3MZbCtxI+SbzX1BvH/ +CHsV+je5sUv4rMrcu1FyPFhxD/uodwB7BvZ0pE6NCXr5JjHf5T6TztY1JWJS ++eh3b2rfh5D7yDdJ/FL0B8i3G/8tfGdxp+3kuiG1j7D5yEH+vUP+l8h5TOcF +7wJvq/jN9mJfId+csnP+jk83tWdwpz/Qb6X+MPgkudZXXEO1xJlTNZ9ZZ1cP +5nLe/fjeTs4B8Ot1R/4tBFuAXFeYY+Ka3vwS8e8hv5bN8efAfkROke8e3mMx +2CvU7+C817jDfvL15+ZGGelDP4//afQB/O+Crwk1PsTeiRwGG8dnCP0q+ddi +L1Pvqp6VOmf6C/zGJt9Zd38Z+YpcXyKD6Btzc1WcFrcfr7mWzvhTZs6Ku/vI +N4a9Dp89JXN4Lfrm3LOwiPgRfO+gN/3cZ6TZPdoG3oHvJOdbQ/zdrX7nqcR0 +grUk5qC49xv+O4g/jn1nozl1Frynxb3WTE5gL8Uewv4Yu65a2CubvSNmkrOr +0ZwRd6YjnU1+I73VisJnkc+z6NMKv516qt6WWn2Xcc0nsbdknjXNzDD4JvGn +wTnbsO/N7Su+tRPbUniXaYY1yzty91oxiq21+l30Jn9iN+Tuhd7kJmL/5i7b +wP7DHgObk3lWLyI7c3O1PTX3xdnXCnNZPX4V/Wzu2dKO/B69r+bZ0M7or5lr +Q1XvKnEuK7yLtTO0OxZzvjPgW7UTiT+R+yzaCcfRK4W5J06L2+KwuLycmGeI +TQtzUTtcu1yzN5x6F2sGV2beHZpZze7lmrklDtfBnibHrsQ9Uq+66cd44rfW +G4sbY6lnRRzRrlmSmjvaOUvwP5B6lsWR9ZlnSTtIu0g9VC+1M4+gP8G/eskz +9iT6icy7Tv92c5eHyb8x8R3F6f8BwATszg== + "]], + + PolygonBox[{{3913, 2688, 3280, 2382, 4668}, {4636, 2325, + 3278, 2685, 3904}}]}]}, { + EdgeForm[], + GrayLevel[0.7703175200742259], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJw1VktsVVUUva993/a++2GCH0goDHQCOnGgDYqiExyIfFSCaZMiYmssGEwc +SFSEYgLtQxgQPwiF8qk1FCb9iThQE8BI+54TRCOQ2o9MNDqD+FuLtRjcnHP3 +2WfvffZee53T1LZ5VWddEATzM0FQj/G1OAg+w6QT48pcEIxRCIWlWYz4DmKY +wjgK+SMZrX+BbxQ6ryZB8BXWylEQhPg/iO9r6C8MgyDfGAT3F4NgUykINuJ7 +Nh8E/diXh34/dAYwb8R8CPP3MX5er71PwuYpzBPYHEql/ybmVxBfiPmPGBfD +z2V83Yjnciw7b0GnWpAOY1lXr9h4lpE6+R/G2IGYVmO+CHtrBe0ZLsgn4+fe +R7GvDzrHIHsa+nuw/iL+/4CvB7Deixg7cKZbWFsP+TXMr+I7VZKPlZAthP0v +YecE5mcxxnnZ/BQh7cS5MtDbhnEmL5uVjGxRvzkj2RLLx2F3EN80/M1inME3 +ga+Gr4pvqqh6dNbLP2vV53p9kEj+cCz/PBtj2MBaQrcJ42AqeSN0L2LchW/A ++e2vEwbOZXUe1o77BryX8VLebN2lxgwx0mmc8IzTeZ25kqgeezFWgbcbWdlb +lVeNuDaV174FGclWunaUDVvO3BNfZx3XWcfGc4z4jMQ1MUeM8eyxa0qsDRhv +xDhljHmJcdOXESYGvLcto3x+gnlXVnYpP1SQffr9MxUmr0fSHc5Kv5IqL+ch +P1PUmWv435hI5yWMXQXl/ADkT5SENeZzBfTnZ1XHuQXtY924vt4624ylhbHO +wTMSM4MNwDl68F7sW1tGHvHtgu3jkBXKwu8LmK/C/EpRMbQWVNeejPDL+L+h +nbJ64C6My7DnfFF1oA5rcR06ayD/Hmd7G73/OOYXispfaE74DnsrWFuL+Oox +ryuLG3LQzeK7r6j8M/eM/yhkGei8XFJt2a/M81P0VVZfHijrn3P63x4qhq0Y +jzYIU8zBu6HycMJ5oz2emfndDfmH0H0HOhP4b3FNie1GyD7G2iXY/CEWF5GT +2Hu9BfHIjlR81IP6tsBX2qB+ZNztRWE3QJxHGsWDOcz7MH+lJNsdoew3xcJe +EfbCRDhmX7IXfs2Lx+7G3tPYMw++DxeEv0XmmWn34Lmceph1HMX6SEFnIies +yAmb1J3ISZ+YIibZg9Ox8HaDPIfzHMf6kUTYDI3P/Yl6dh/GYxnhjb32RiQc +ktt6Evm4GIkryWWHMS5LlEPmkv5uOM4H7etf7H0+VWzPYVyTKjc/YX08p9qO +1wlfraEwRmx+2yB8PoP5ENZ2IrePNQqvxOqYeYg5/C8VBvdjPNOgnDKfxHy3 +8dwO2x9hrYq9rbDTE4p7K5Ew+nusu4X3JW3e5sac6jAeicMqzhPrwTPS3j1l +2SRHkCuqiGFfKpz+k6o+5IQ+341dvh/JgcQOsUTM9bruk3nFfNBcREwQt7N5 +cS7rMe05e+rOP+vGM/AseyP1A7mUNskhFdtkb7BHyD/MEfuM3EM/jIFcRIyz +d8kF9DPr+yw259MW8UscM7fsrUOOk/5uc6g5lv7oizxEPiLeiL0u8xJ9s87s +YfYqe5p4JYbJj8ddw0n7mnTvcM46cU5+GfUdQxnv0rk+C/Pb7rOMmg8ZA3PT +4fxMuN/Z91ti3SWvY9yT6J3UnejtwvfE1li5aTOfvhcLizswRpH6dCv0hyLd +m3/B5m+xcJ3OUf5i12tzpB7eHuu8Y74L6ufoXsli/Nl9shZ22hPhsgPjlkj3 +3KVYOZh0HtjTVZ+RPDHqOWU1zxl3j/viIfhYjnz9EolTuGfIbznel6HtDFvO +2vcZS+v8rrxzt1at32q/LfY5Yr/d9ss7iD1D/I3bfs0+eHftCn1/lTTudh8w +N8QYOYP7ufdCpLuYdzJ5YcL3K8/YZl/E1i2/K4gLvumIq2t+g5E7WNObriv5 +kevksEG/AdfkxReDnvONNus32ynjjXL2/Sa/jW869jbnjDVi3oh33tuMi7zG +c1LvZElvhWa/BzjnGcmdJy3vdS6IW+KXd85q+9ppO3+n4ivyFv102Bf7/rzz +Q9vLbb/mdyjjn+d3MeW886q2X/XblDqtru3td2ZJb1nmkPzX7zozTuZmg3Wu +OU9XPac+71f23YJY/mt+997RYw0W2x7ryLfniN+LVeeesQ0Yc01+U804TvJS +i3E743pRPuH3NmOb9f3Ie5J8P+23J/madSN3zfpNzr3/A1WM1XQ= + "]], + PolygonBox[CompressedData[" +1:eJwtlElsTWEUx4/3bof37nv39XZpiGGBDd2wIEHRRFILNdScNhFVLdoaEguJ +eVigxUIkiNA2ihg2FMGGpK1oy6pqioWpK0EsiOl38rc4yTnfmc//nG/smsZF +DQkzq4YCqD5j9jZt9iTPrBd6FZldTJn1wy+LzYYj302a3YH25sxO8FaZb9aM +38pis4VZs/aQOPgchM4VmZWQ4CM2rdg24HMJ3wMkm41uX06xKohfB78eakuq +mCZy9UDv4e+hn4f/cXyGkJ8ij0AXIs8M5OO+G6GOpHJsgh9GPWXUVldoto56 +dsPvhLqRRxSY5VPrKvqtR54IPYKvzKr2wwXK4bluoEvS39JYs/CajpI7Llas +amKuhh/irRz9bfI34jueeAuIt594PwqVKw95fUo5v3suYvVAEfYBchU1vUO3 +mJkdJe4Qch/273kboqdRgWq/Si0vIuHkeC1GPoh9GTnKsR2EbuJbQcwDKdUw +Gv/TjPcWMWqodRf219KK1499DF8dKpfX0JsTFjOgm+RaWyRf79F79doeZ7UD +XqNj6tiG0AC+14l3Ev18Yo0kxwfepg9TDx9zwtyxf4C8Ad9v2HaQMh+5FPk5 ++kygGfmstkfSOcaO9VxszrBfV5HL4Jczg2fI7eQowbaet/uBYnrszfhcwfYQ +b3PQlVL/qbR674LG+c7g34b/ZPyX4PMwrV3wHv7Eiv2GXsvBexr2DUndhN9G +EApzx3oCVIl9H/31EXMwEhbLQ2HjmPhu5oWy9R0dQ7xJCWHkWBXiv4LYk3lr +9l1EHkjIpj9WDV6Lz/9vrByeay5vU9FtzWk2Gd62wP8l34VQt1CBzxFm8C4Q +Jo7N11hYd2DfTazh1HsjLeyeFuqG/ZZ9RtvQN+JzOamZNsHv8VvLyNZ3covP +P083ewL+fKgaPHdNSjvsu+c39An/s+jGZXSLP6GtRbqN+/9jFWRl4zr/Y1p4 +60wIg2PwryP1PgeaQv97crpF7/Ew+q5IvfkMv5A7QTzLqpZaaEek3fWevLfW +UDfpt+g3e4FZJLOyXZSvm/M+HeOXkXJ6bv8z/e8MivV3+E76btY6Jhn5HkfO +Rtp9x3gs+W4hdwb60zLUW4V9mNGNL4l127NC7arfuGPq2PqNDMK3RNoV/3M/ +5/Rn+t/pN1BHvN+xcvvMfsH/A5S/zu8= + "]]}]}, { + EdgeForm[], + GrayLevel[0.8611193250861741], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJw1VktslFUYvVPmPfP/88/vThMNtkxjF7qiia8FPioSVy4UCxolqNFOqSkl +ho0LjYnVyLQgWFYsUFqUtQtD0iIL6SMad5iwMSmt9iHxlYgzRc/hHBc39873 +f/d7nO98353tB0aePdQVQvgOaxvWU+UQalEIzxRD2FkIYQrrMuS/VEM4WQlh +sBTCBawvsT7MhvBjDb9xcRT7k0kIH0GWSaVzzXox7E3D7nw+hF44a2C9mgnh +INbnuHs+yM9prBnIbsDXCPRnEMOlXAj7YWMO+zdYL5Uk24V7R6EfwdYCZIdw +Hofvb7F6YeMr2GwWFBvP/bbPnJqwu7ckfX7f6RxfhGyoKF+03W/7w5Dvw2pD +fxXfl3BeKep8wTjQP+NgXnfFITyKfRJ4bGWFZQf7razyp87TwDICLgv4NoIY +LsPn113aL/l8rizsiNtfkfK4CpxDKiy+jxU7c9gBm1dgv54XBm2fGccczgnO +X+DqYklx3s4d+3xJNbvmuvJMnSXnRQyOui7MedF3+40l/d7E7x15+0Gc1UiY +DSLOz5DD8XoI10u6S5sTuNPIqO7MbdjYkltNYovzCWC3hv0T7Ltg5wzkj2F/ +uCa8HqrJBm31YL0DH/sg74Z8LFZMZyFbLsk3/XbbN/0So76iuMK4Z7FaOF/s +kn3iP2puH8a+npfOuYz4TZwGENtzrsUe+HozJx+0Tz/dtsm4Cl26ewO2eiiP +xbX7isrjCDj/FrA6b9lBY9QuCpcVx99jm+TO7or4s+gcWde/I/XG24htHTaP +lcXB++FvEPJ7a+J0v2u3vaZ4o1i9SL+PZIQL+4ecGy6I3+RtET4LFcVIPi8b +29PuF/KEmDVt/3giXo5iH0g1D3an0p8yhxj3snuHPGWc5Cr5y7vk8F7g+wPw +zaaKhTExRnKT+dLvuPuQ8m7kXqqoxk3rMx7WifUK5tRrOfUk581YVTNnDLE2 +4Pv9uuJlnszx3ZqwuTNWbG3Pm3tgqw96d6fiL2vCem3C3iTszubEsRlziBwj +v8jboUS4v0GOZcU9fmc/Je4p+qd9xkletcx5zqROUXH8kxXn+Y285/lMolhW +s4qnx3rU6XhGEFvOJ/YhZcS4Y/myc2dduDi3iSFjZczv1TSr5jyvHoh1n7Xa +yKtnyHvamzde03nhwPrSXmSbe1Jx/xbuTmKdBW6vQ7YtVSycqfQz5H65XVf3 +L33QF/uLfi8aW8r4m+djsfqzCNs/oS4nKnoDXsHeqmqWzzo+2vk40ltIbH7D +908reodob9M+XobsjrLm4qZ9MRbOrU2faXPdMbTNC/bYdXN+wTOYs3fVtWRN +yas/4fePqt68Ab+tz6eazdQlJ8lFcvLBmmpAjIgP7+z3W0mf5AD1iNm430jq +N8ylKeTye1VvIGNfM0/ZHxtZ1Yo93/ZsGkDev0I/D/1/66odazhRFu/Jec6z +jaq+sf+a7s1T8LVWFX9bZc2pLeOy4jhHPTcOY38C6wOcH0+ETZ/xiWPNJ76N +S35fWIsr7kt+Y+wv5MSzGfcTucf+mHMvUD7t3mz4fwlnIr9RRnxOJbJ1MlEu +7AfyttcYER9i/LPjn0h0biXCiHjwe8PY/s+TdePMPqUedW4mivlIIrv0y/g7 +dc2nLez/AVV3Xa8= + "]], + PolygonBox[CompressedData[" +1:eJwtlDlMFHEUxp8sLDvM7M4wth7Bi0ijll4FRhASKwsPQKMWxABKAWqjFh6J +xsiiKFqJFh5Ea1uvxrXw6DSx0EYQCXgW6Er8fXlbvOTd733/9800HOzfcaTK +zLYh1chAYvYC5RF6oWAWhGZddWZ9ObMmZCY2W068p8ZsiPhR8vegT+MbRV9G +vCNjlmTNTtSbHcOXr/KcOfTF1HSjjwVmzSk20ki8CXsp+gbq+6n/Sr9F5MZ5 +s7vML9FvO/PH6DFH7A9yC/1mxD6R71ZGJtm3RM1F4iV65up913HwNND7ODXN +Gd9Juw3R+1Lee/+jZp788Yq+lvm/6f0L2UevZ/TpSd0nfSf6deZ9w36C3UXO +WepXZn3HQep/EvseeUw9rjJzitgqcgY1H5nAfkz9K/Lb6PmAvA9IO3oR34pq +f3O9/VTkmIW1M/A31ltrpmY3gucL8Q5if8kZYb+P2Beo3x34LT9FruumbcRb +8WWxX2JfRp8lfj/nOy3EPkDOBPZn5HXBsT9F2plXG/pMzVqdcwyqU32Z+G3w +lZn9Ft8aYm+Q5zV+443g2ZVWbsUNDqGfq/e3qeU+J9Hv0TshdjhwDlSn3mvz +ArNM6tj2h76bMLZg50LfpVd4Es8Vp68kfqsbxPcGfrNiVOFM4BgjZo2G/raa +KY6Ja7rBLPteS5zr4rC4vB7fJvpP4htOnDPijjALe77g3LsD3t7EOS1uiwMj +2MXEa8UBcUGYhb2T/FPo0+xXrPOe4mXIfu2h36qP/X5EjllYhSnR+zLvPPlb +6Xcm9tna8bT2D72HasWRJal/e/Pkr6N2hl7DdX7DbIWD4qJu1EK/Lal/u/pm +9e2qRrXibCv2u9j/HQ+Z+T52jogrurluPxB7TDtq1/+QE6DY + "]], + + PolygonBox[{{4605, 2216, 3188, 2723, 4497}, {4498, 2724, + 3189, 2217, 4607}}]}]}, { + EdgeForm[], + GrayLevel[0.9999999999999999], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJwtlL1PVEEUxS8Lebz32JW3Y+tiLO0gWkkiQQXdAgsSNLHE+FloNKCJBCiM +vYloooWNhYrCJjYWRm2sRNQGLbRE/wdNlnh+3ltM5s3MOeee+7G7b/bq9JWa +mZ3R6tU6lcweDphd1t7aZTbWY3a/Mrtemu1umL3MzY5rP6q1XJgVOm+L912r +Lcyk7k/qbo+4h8U9NGjW1flWv9nHPrP1zGxD+2vh71WOAftW3AlxF4SbUfxj ++t4Sb0RvT4UZSs5HBw444g9Lbzy5T/zCu1137n69j2T+tinuJ60PijuZXBPt +JPwzxc6kV8s9xjdhauLmOv809/Wu9Jjj+n4lf4t6/yr+GxWv3TTbEbY39xid +zOMRF721zDXxggaez0njvFaPdOYqr8mK9ovy9kj3p7U/1v5XucwWvogBd1Hx +kvY7Ta81mmizhiNf9MBQ5xvS/azzzcr7R67kj6/1wPC+GfX5E3h45ENvuX9e +er3+8+Xrkvz1ydcB7U3dr+auQf7wLuj+Sd1ruRG9px547ITPpciFnNA4OOA6 +1Hep8H6TF73E83LUAg1mj/jMH+edqP+PwvMEj9aL3PuEb+qF3krD55XzNe1n +646j58wB/dqbPG4ruZetmGPyWItcOlFz4r5nLqR7V9iJyn20k+t1Y7ZaoXkk ++dzg64vmaCo8Mttw4J5IHnMq4hKDGaMf3K0G50HldZ+vPEfyI3ewReB/Kcft +0r3QC7wQqxu1Rn900PWY64bq8bt0Dd6IB57fQx71man7/wK1/getgYqU + "]], + PolygonBox[CompressedData[" +1:eJwlkr8vBHEQxd8dObt7P+ytnggFhYqKhNyJc5FQSNBfQTREQhSCQvTCkVCQ +kDi/Ko1C0OgElYry+BMECfH5ZoqXvPnOzJs3s9tcmh2diUtqBbXgJJDKaWnE +kxJ1Uku9dMV7lJBWslI3cW9MuqapBz6ZlA5T0hs1MV9aCKVHhJ7AN7wfrX1q +SuRWfaudIo771rOeNe0H6uepnyZ3TE3V+aEmT/8Yby/4WSGeiKQ94k9qCtQ/ +Z8zLuedMSh34r6Ss1+etStwGfuFxMMS8TeJdNMapv0zaDKe9DI7ozQDPM48H +8DSoIf4D5dC8uhtswdfIFdEb9sxjF3pzgfk5A7fwwbTtvsQ9G+Cngd32wjNv +ubTNdh6dVmfSep1mIx4rzGon3wT/CGxHt5vzFItM55X8QGje3wPb1e3gbnmH +3oZvN/1J2U5uF/dN8pFp9zEjB98OjbtvuAMvRqbtPBTgi6F923u0vvBdADeB +7eb+mX8MZ0k9 + "]], + + PolygonBox[{{4608, 2219, 3171, 2706, 4426}, {4166, 3318, + 3157, 2220, 4609}}]}]}}, {{}, {}, + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3576, 4215, 4214, 4345, 4213, 4246, 4245, 3613, + 4673, 4674, 4637, 4639, 4638, 3633, 4678, 4680, 4681, 4165, + 4609, 4166, 4695, 4712}], + + LineBox[{3875, 4478, 4477, 4485, 4212, 4244, 4243, 3612, + 3898, 3899, 3792, 4425, 3791, 4608, 4426, 4694, 4714}]}, + "0.8999999999999999`"], + Annotation[#, 0.8999999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3630, 3874, 4476, 4484, 3700, 4515, 4255, 4256, + 4079, 3727, 4078, 3726, 4360, 3873, 3597, 4203, 3945, 3971, + 3970, 3610, 3897, 4240, 4239, 4238, 3790, 4604, 4605, 4497, + 4711}], + + LineBox[{4163, 4164, 3600, 3955, 3954, 4057, 4056, 3573, + 3598, 4211, 4210, 4242, 4241, 3611, 4611, 4612, 4440, 3631, + 4257, 3632, 4606, 4682, 4607, 4498, 4698}]}, + "0.8099999999999999`"], + Annotation[#, 0.8099999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3766, 4108, 4526, 4107, 3944, 3696, 4045, 3765, + 4594, 3784, 4494, 3783, 4593, 3808, 4560, 4559, 4483, 3725, + 3872, 3871, 4197, 4196, 4329, 3695, 3969, 4235, 4236, 4070, + 4071, 4069, 4073, 4525, 4072, 4625, 4700}], + + LineBox[{4162, 3953, 3952, 3951, 3707, 4055, 4161, 3950, + 3949, 3948, 3703, 4533, 4050, 4160, 3571, 4202, 4201, 4423, + 3785, 4237, 4438, 4439, 3804, 4660, 3805, 4661, 3801, 4437, + 3803, 4435, 3802, 4436, 4702}]}, "0.72`"], + Annotation[#, 0.72, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3566, 4040, 4041, 4038, 3690, 4039, 4158, 4037, + 3689, 4035, 3688, 4529, 4036, 4138, 4461, 4462, 4253, 4254, + 3625, 3915, 3624, 4252, 4251, 4460, 4459, 3919, 3918, 3629, + 3975, 4034, 4033, 4074, 3605, 3961, 3960, 3964, 4509, 3963, + 4510, 3607, 4610, 3799, 4499, 3800, 3905, 4636, 3904, 4691, + 4699}], + + LineBox[{4111, 4053, 4054, 4052, 4344, 3706, 4517, 4110, + 3770, 4049, 3702, 4342, 3701, 4516, 4109, 3769, 4046, 3699, + 4334, 3698, 4514, 4105, 3763, 4104, 3764, 4106, 4116, 4115, + 4118, 3606, 4508, 4117, 3962, 3973, 3972, 3974, 4134, 3841, + 4133, 3842, 3914, 4668, 3913, 4692, 4713}]}, "0.63`"], + Annotation[#, 0.63, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3602, 4123, 3824, 4121, 3823, 4122, 3908, 3958, + 3957, 3956, 3822, 4663, 4664, 4662, 3837, 4131, 4130, 3939, + 3836, 4129, 3812, 4450, 3821, 4449, 3820, 4458, 3846, 4137, + 4136, 3938, 3845, 4135, 3811, 4666, 3844, 4665, 3843, 4677, + 4099, 3591, 4507, 4098, 3937, 4026, 4025, 4097, 3590, 4552, + 4475, 4592, 4591, 3623, 4076, 4077, 4075, 4359, 4358, 3870, + 3589, 4183, 3936, 3968, 3967, 3608, 4066, 4067, 4065, 4068, + 4524, 4624, 4689, 4705}], + + LineBox[{3854, 4120, 3818, 4119, 3817, 4447, 3911, 4221, + 4220, 3959, 3828, 3853, 3572, 4209, 4208, 4207, 3816, 4446, + 3815, 4126, 3826, 4124, 3825, 4125, 3570, 4200, 4199, 4198, + 3814, 4445, 3813, 4132, 3840, 4457, 3839, 4159, 3567, 4504, + 4503, 4502, 3943, 4527, 3942, 4044, 4043, 3565, 3594, 3941, + 3940, 4032, 4031, 3564, 3593, 4192, 4191, 4234, 4233, 3609, + 4675, 4676, 4657, 4659, 4658, 3798, 4433, 4434, 4431, 4432, + 4686, 4709}]}, "0.54`"], Annotation[#, 0.54, "Tooltip"]& ], + + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3575, 3599, 3860, 3772, 4473, 4549, 3574, 4613, + 4416, 4340, 4341, 4337, 4339, 4338, 4415, 4332, 4333, 4330, + 3697, 4331, 3762, 4328, 3694, 4326, 3693, 4327, 3760, 4319, + 3687, 4318, 3686, 4569, 4570, 4469, 4544, 4190, 4189, 4188, + 3682, 4313, 4542, 3935, 3934, 3933, 3678, 4024, 4114, 4590, + 3782, 4493, 3781, 4603, 3789, 4480, 4554, 4655, 4656, 4634, + 4635, 3619, 3903, 3618, 4672, 4633, 4654, 4653, 3852, 4586, + 4587, 4704}], + + LineBox[{3894, 3584, 3857, 3746, 4403, 4405, 4404, 3885, + 3558, 4301, 4302, 4298, 4300, 4299, 3557, 4296, 4297, 4294, + 3674, 4295, 4540, 4293, 3673, 4291, 3672, 4292, 4539, 4290, + 3671, 4289, 3670, 4644, 4645, 4643, 3751, 4094, 4093, 3929, + 3669, 4021, 3750, 4589, 3780, 4492, 3779, 4588, 3807, 4558, + 4557, 4482, 3724, 4564, 3628, 4288, 3668, 4287, 3667, 4354, + 3721, 4231, 4232, 4064, 3717, 4349, 3716, 4520, 4522, 4521, + 3718, 4584, 4585, 4696}]}, "0.44999999999999996`"], + Annotation[#, 0.44999999999999996`, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwV0L1KQnEYwOFXXPu0K3DpCqQh6xoSswajoagtbcygsVy9idqS1iBcsrEh +FSLQCtOGpooy1x6Hh98573n/h8NJ7x7my4mIyHEzE9GZjTjW8VxERV/mI16p +cEfZvMQBX3zyPR0xZXfB2Ws9sndLk4zZqg7tvdNnwBsr5lf2n13va1f3tKeX +uux5XbO6ZVZkx/2TNsw2dYMCHdp8+JaknXXXeVo8MDRPmD86d65LeqEj/aPG +Lz+MadGmysnkv2gqFbHIvftT7zyjyprZNv/O5zcP + "]], + LineBox[CompressedData[" +1:eJwV0L0ug1EYB/DHhESrJL4Xb1uWYhODzdAO+iYlMdVkkkhaEpPBwG0gbAwa +H/VRF8AVuADcB37v8Mv/PM95zntO3mSnvdnqi4gmK4WIm+GIWj7iWlZlMhpR +ZJYL9dxIRJnUbIdbEvVvLqLgzLmZovpMlmRF79tez9wbz7zyktX2ezxZp+Yf +ZV12sxn9Q67Un3KJDf119YO8lIt6CzTU99xRUX/wzhGD7s97+yr91vt6B7TJ +6Q2xrP/njVvZW323ae9Lbss1vXnraTnDAFNM8uPMmBwnpU5idkIes5v9F3XN +HSfedkrDeo9/ooEtjA== + "]]}, "0.36`"], Annotation[#, 0.36, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwV0Lsvw1EYh/EjkbjFXcKGXYJaaummC3Xp4BIWbS0qtRmY/BEGNrEZpEJY +XMJoqbhVXBJWFokwiIRPhyfP+33f95zzy68ztZjMlYUQcmipC6GqKYQfXmsM +oUZdjW85I3/xHMfrQxhAs7zSEMIyPtVps3Z1BzbU68jay/M8X2JPXeCPWvc7 +8yQ/I4ZDuc8sggp37MoX6gV+kbP8aG+Hl/gMaf0UZpHWf+BT/Xf3V8pT8iSK +uMObfrl+0c49otiWe7zTjT8Eewc8o19QT/OmvV+9LfU+J/nEbIyP+BgRO73o +L71pZwLjGC2d0c+ro2avvmGEhxHXPzdfLWV1l/99K7dyG2LOXMkJsxse5Gse +4oR5Bv80Kz89 + "]], + LineBox[CompressedData[" +1:eJwV0bkuRVEUh/GlQcN1xTyrDK2hQ0wxVp5ASEgUJDQUEqLUXkOiIaZw1dRq +HuEaGhQewJz4neLLt/5rr72yT07zzNLUYl5ELOCnOCK/NOKLM+mIQnUBPuU5 ++YPneTQVMYi0vFYSsYp39bSzHU7zT1FECY84O8UJUvK3fg7X6mVkzLfa1YJO +Mx04UvfpH3Iv15rb5xre42quwpjZHjnLlXIF/uwuT96od4kLlMm/+k+4Ua9g +1712+9vwrN9t7lw9rH/KQ3zGXcnbk++Vj3mAG91vQgMO5Fd+wzZu5Rd+5Hu+ +w2ZyJte7X4dJOydwhX79db0N9QNvyb/qnPoJ2WQXp/yHcf1Z/gdFOTrV + "]]}, "0.27`"], Annotation[#, 0.27, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwNzTtOAlEUgOFDgo3yUFwBBTYmihY+0I6SmBATGkoLSt2C2IidoCgvpRPX +pJGGDShWxgK+4ss/58ydO/mLq/PLRESc8ZmOKGQjPvRJn3mgyyO76xE7dDwf +ZSLaeqiZDec0rR39tZ9T5cB8rz988+furLbtV51PscaW3dS7Vx0z5IURX/b7 +/jvwfOq7np5oX/fsi2y6I0eZOgXvB/Z9VsxJtu3ezSV902OdaEsXmnAmaJr/ +zdd6a76jxY15prVcRIUGS94LKS0= + "]], + LineBox[CompressedData[" +1:eJwVzjtOAmEUQOGrQRsjCoWt2OmY+KjEB6HRxBgfyWjlIxAXgFtxB1hiKIxY +UIBKT6s7INEdELDxozg5955//plZuX9Ia1MRcYbiQsQ2Zhcj3vkDXczYM9jN +RTSzER2tyt9ahb/4mXecl8y3zm9wjTu9zQf673zEtD1vb/Ceto8ffUP7Qwtv +eMUYI2x67xZezBeT77tzzk/aUKubV80J1nClXeJEb03+2Zxz58jc0w75k4+5 +z488xggFe8nzy1zORyxhHQnm9IFnUvMpKvgHtAApPA== + "]]}, "0.18`"], Annotation[#, 0.18, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3545, 3876, 3544, 3982, 3983, 3979, 3981, 3980, + 3543, 4141, 3978, 3637, 3976, 3636, 3977, 4140, 4139, 3728, + 4361, 4418, 4417, 4441, 3620, 4248, 4247, 3722, 4355, 3626, + 4259, 3635, 4258, 3634, 4350, 3719, 4222, 4223, 4058, 3710, + 4346, 3709, 4518, 4059, 4519, 3711, 4576, 4706}], + + LineBox[{3895, 3884, 4088, 4013, 4014, 4012, 4086, 4085, + 4390, 4391, 4010, 3657, 4271, 3656, 4511, 4084, 3737, 4380, + 3738, 4381, 3922, 3921, 3648, 4002, 4112, 4578, 3774, 4490, + 3773, 4600, 3786, 4479, 4553, 4648, 4649, 4628, 4629, 3614, + 3900, 4670, 4669, 4627, 3793, 4647, 3850, 4577, 4697}]}, + "0.09`"], Annotation[#, 0.09, "Tooltip"]& ], {}, {}}}], {}}, { + DisplayFunction -> Identity, DisplayFunction -> Identity, + Ticks -> {Automatic, Automatic}, AxesOrigin -> {0., 0.}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines -> {None, None}, AxesLabel -> { + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + FrameLabel -> {{None, None}, {None, None}}, DisplayFunction -> + Identity, AspectRatio -> 1, Axes -> True, AxesLabel -> { + FormBox[ + TagBox["x", HoldForm], TraditionalForm], + FormBox[ + TagBox["y", HoldForm], TraditionalForm]}, DisplayFunction :> + Identity, FrameLabel -> {{None, None}, {None, None}}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLinesStyle -> Directive[ + GrayLevel[0.5, 0.4]], + Method -> { + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, + "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + PlotRangeClipping -> True, PlotRangePadding -> {{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, Ticks -> {Automatic, Automatic}}], + StyleBox[ + "\"\[PartialD]AND(x, y)\"", FontFamily -> "Helvetica", StripOnInput -> + False]}, "Labeled", DisplayFunction -> (GridBox[{{ + TagBox[ + ItemBox[ + PaneBox[ + TagBox[#, "SkipImageSizeLevel"], + Alignment -> {Center, Baseline}, BaselinePosition -> Baseline], + DefaultBaseStyle -> "Labeled"], "SkipImageSizeLevel"]}, { + ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, + GridBoxAlignment -> {"Columns" -> {{Center}}, "Rows" -> {{Center}}}, + AutoDelete -> False, + GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + BaselinePosition -> {1, 1}]& ), + InterpretationFunction -> (RowBox[{"Labeled", "[", + RowBox[{#, ",", #2, ",", + RowBox[{"{", "}"}]}], "]"}]& )]}}, AutoDelete -> False, + GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Grid"], "\"\""}, + + "Labeled", + DisplayFunction->(GridBox[{{ + TagBox[ + ItemBox[ + PaneBox[ + TagBox[#, "SkipImageSizeLevel"], Alignment -> {Center, Baseline}, + BaselinePosition -> Baseline], DefaultBaseStyle -> "Labeled"], + "SkipImageSizeLevel"]}, { + ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, + GridBoxAlignment -> {"Columns" -> {{Center}}, "Rows" -> {{Center}}}, + AutoDelete -> False, + GridBoxItemSize -> {"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + BaselinePosition -> {1, 1}]& ), + InterpretationFunction->(RowBox[{"Labeled", "[", + RowBox[{#, ",", #2, ",", + RowBox[{"{", "}"}]}], "]"}]& )]], "Output", + CellChangeTimes->{3.887889422547476*^9, 3.887889479471768*^9, + 3.887889728052351*^9, 3.887890066985073*^9, 3.887890185721641*^9, + 3.887890452785516*^9, 3.887890665144073*^9, 3.887949700709874*^9, + 3.88795107605553*^9, 3.887953821136107*^9}, + CellLabel-> + "Out[722]=",ExpressionUUID->"d4e0e698-53bf-4766-b273-880fd78e75ff"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"Export", "[", + RowBox[{ + "\"\\"", ",", "andPlot"}], "]"}]], "Input", + CellChangeTimes->{{3.887889473529965*^9, 3.8878894822964783`*^9}}, + CellLabel-> + "In[297]:=",ExpressionUUID->"ea7e77b3-102b-4f2c-bf63-5243a1e3563e"], + +Cell[BoxData["\<\"/home/wright/coding/discrete-differentiable-networks/docs/\ +and-plot.png\"\>"], "Output", + CellChangeTimes->{3.887889483155266*^9}, + CellLabel-> + "Out[297]=",ExpressionUUID->"6df01414-c808-42b2-862c-d784b61b909d"] +}, Open ]] +}, Open ]], + +Cell[CellGroupData[{ + +Cell["OR", "Section", + CellChangeTimes->{{3.887192854921034*^9, 3.8871928636330957`*^9}, { + 3.887254238166834*^9, + 3.887254238242547*^9}},ExpressionUUID->"ecbfc1dc-1226-4fd6-8ae9-\ +3eb4d7046417"], + +Cell[BoxData[ + RowBox[{ + RowBox[{"or", "[", + RowBox[{"x_", ",", "y_"}], "]"}], ":=", + RowBox[{"Module", "[", + RowBox[{ + RowBox[{"{", + RowBox[{"m", "=", + RowBox[{"Max", "[", + RowBox[{"x", ",", "y"}], "]"}]}], "}"}], ",", "\[IndentingNewLine]", + RowBox[{"If", "[", + RowBox[{ + RowBox[{ + RowBox[{"2", "m"}], ">", "1"}], ",", "\[IndentingNewLine]", + RowBox[{"Evaluate", "[", + RowBox[{ + FractionBox["1", "2"], "+", + RowBox[{ + FractionBox["1", "2"], + RowBox[{"(", + RowBox[{"x", "+", "y"}], ")"}], "*", + RowBox[{"(", + RowBox[{"m", "-", + FractionBox["1", "2"]}], ")"}]}]}], "]"}], ",", + "\[IndentingNewLine]", + RowBox[{"Evaluate", "[", + RowBox[{"m", "+", + RowBox[{ + FractionBox["1", "2"], + RowBox[{"(", + RowBox[{"x", "+", "y"}], ")"}], + RowBox[{"(", + RowBox[{ + FractionBox["1", "2"], "-", "m"}], ")"}]}]}], "]"}]}], + "\[IndentingNewLine]", "]"}]}], "\[IndentingNewLine]", "]"}]}]], "Input",\ + + CellChangeTimes->{{3.8872542448006973`*^9, 3.8872542452338667`*^9}, { + 3.887857388089868*^9, 3.887857396003681*^9}}, + CellLabel->"In[21]:=",ExpressionUUID->"9acf8a22-c3d5-4f2b-b139-26e62cb20ce9"], + Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"{", RowBox[{ - RowBox[{"f", "[", + RowBox[{"or", "[", RowBox[{"1", ",", "1"}], "]"}], ",", - RowBox[{"f", "[", + RowBox[{"or", "[", RowBox[{"1", ",", "0"}], "]"}], ",", - RowBox[{"f", "[", + RowBox[{"or", "[", RowBox[{"0", ",", "1"}], "]"}], ",", - RowBox[{"f", "[", + RowBox[{"or", "[", RowBox[{"0", ",", "0"}], "]"}]}], "}"}]], "Input", - CellLabel-> - "In[187]:=",ExpressionUUID->"cf8760a2-f1e4-4f71-aafa-9ae1073d0041"], + CellChangeTimes->{{3.887857398198003*^9, 3.887857404930203*^9}}, + CellLabel->"In[22]:=",ExpressionUUID->"cf8760a2-f1e4-4f71-aafa-9ae1073d0041"], Cell[BoxData[ RowBox[{"{", RowBox[{"1", ",", FractionBox["3", "4"], ",", FractionBox["3", "4"], ",", "0"}], "}"}]], "Output", - CellChangeTimes->{3.8872542502233477`*^9, 3.887343455231943*^9}, - CellLabel-> - "Out[187]=",ExpressionUUID->"7856c7c3-f906-4659-af9f-7a44e2873a41"] + CellChangeTimes->{ + 3.8872542502233477`*^9, 3.887343455231943*^9, {3.8878574053192863`*^9, + 3.887857433910392*^9}}, + CellLabel->"Out[22]=",ExpressionUUID->"f9834aec-fdd4-4450-8f93-a6721003e5ba"] }, Open ]], Cell[CellGroupData[{ @@ -1308,8 +12622,7 @@ Cell[BoxData[ RowBox[{"{", RowBox[{"x", ",", "y"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.887254257367319*^9, 3.887254258467719*^9}}, - CellLabel-> - "In[188]:=",ExpressionUUID->"eeedfba2-7110-4292-8326-a30cc8db93a7"], + CellLabel->"In[23]:=",ExpressionUUID->"eeedfba2-7110-4292-8326-a30cc8db93a7"], Cell[BoxData[ TagBox[GridBox[{ @@ -1357,18 +12670,4149 @@ Cell[BoxData[ StripOnInput->False]} }, AutoDelete->False, - FrameStyle->GrayLevel[0.5], - GridBoxAlignment->{ - "Columns" -> {Right, Right, {Left}}, "Rows" -> {{Center}}}, - GridBoxDividers->{ - "Columns" -> {{True}}, "ColumnsIndexed" -> {-2 -> AbsoluteThickness[3]}, - "Rows" -> {{True}}}, - GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, - GridBoxSpacings->{"Columns" -> {{Automatic}}, "Rows" -> {{1}}}], + FrameStyle->GrayLevel[0.5], + GridBoxAlignment->{ + "Columns" -> {Right, Right, {Left}}, "Rows" -> {{Center}}}, + GridBoxDividers->{ + "Columns" -> {{True}}, "ColumnsIndexed" -> {-2 -> AbsoluteThickness[3]}, + "Rows" -> {{True}}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + GridBoxSpacings->{"Columns" -> {{Automatic}}, "Rows" -> {{1}}}], + "Grid"]], "Output", + CellChangeTimes->{ + 3.887254261292555*^9, 3.8873434559132233`*^9, {3.8878574100082483`*^9, + 3.88785743465958*^9}}, + CellLabel->"Out[23]=",ExpressionUUID->"fb084e5c-4c14-4eeb-86cf-fb7e19c7f64d"] +}, Open ]] +}, Open ]], + +Cell[CellGroupData[{ + +Cell["M-OR", "Section", + CellChangeTimes->{{3.887192854921034*^9, 3.8871928636330957`*^9}, { + 3.887856450704668*^9, 3.887856451045491*^9}, {3.88785720885433*^9, + 3.8878572123927298`*^9}},ExpressionUUID->"f6f41491-9ba0-4ac4-9212-\ +66ffb62e74c2"], + +Cell[BoxData[ + RowBox[{ + RowBox[{"(*", + RowBox[{ + RowBox[{"MOr", "[", "x_List", "]"}], ":=", + RowBox[{"Module", "[", + RowBox[{ + RowBox[{"{", + RowBox[{ + RowBox[{"m", "=", + RowBox[{"Max", "[", "x", "]"}]}], ",", + RowBox[{"\[Mu]", "=", + RowBox[{"Mean", "[", "x", "]"}]}], ",", "\[Delta]"}], "}"}], ",", + "\[IndentingNewLine]", + RowBox[{ + RowBox[{"\[Delta]", "=", + RowBox[{"\[Mu]", " ", + RowBox[{"Abs", "[", + RowBox[{"m", "-", + RowBox[{"1", "/", "2"}]}], "]"}]}]}], ";", "\[IndentingNewLine]", + RowBox[{"If", "[", + RowBox[{ + RowBox[{"m", ">", + RowBox[{"1", "/", "2"}]}], ",", + RowBox[{"Evaluate", "[", + RowBox[{ + RowBox[{"1", "/", "2"}], "+", "\[Delta]"}], "]"}], ",", + RowBox[{"Evaluate", "[", + RowBox[{"m", "+", "\[Delta]"}], "]"}]}], "]"}]}]}], + "\[IndentingNewLine]", "]"}]}], "*)"}], "\[IndentingNewLine]", + RowBox[{ + RowBox[{"MOr", "[", "x_List", "]"}], ":=", + RowBox[{"Margin", "[", + RowBox[{ + RowBox[{"Max", "[", "x", "]"}], ",", "x"}], "]"}]}]}]], "Input", + CellChangeTimes->{{3.887856456518004*^9, 3.887856538621016*^9}, { + 3.8878565826829557`*^9, 3.887856583558114*^9}, {3.887856811564433*^9, + 3.88785681733559*^9}, {3.887857215061726*^9, 3.887857221895005*^9}, { + 3.887868544281836*^9, + 3.887868569401907*^9}},ExpressionUUID->"7e80ece4-73c0-48c2-aead-\ +66a01af51155"], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"{", + RowBox[{ + RowBox[{"MOr", "[", + RowBox[{"{", + RowBox[{"1", ",", "1"}], "}"}], "]"}], ",", + RowBox[{"MOr", "[", + RowBox[{"{", + RowBox[{"1", ",", "0"}], "}"}], "]"}], ",", + RowBox[{"MOr", "[", + RowBox[{"{", + RowBox[{"0", ",", "1"}], "}"}], "]"}], ",", + RowBox[{"MOr", "[", + RowBox[{"{", + RowBox[{"0", ",", "0"}], "}"}], "]"}]}], "}"}]], "Input", + CellChangeTimes->{{3.887856547798881*^9, 3.8878565697450867`*^9}, { + 3.8878572254680853`*^9, 3.887857234533621*^9}}, + CellLabel->"In[78]:=",ExpressionUUID->"06b1f54c-39c2-45af-9119-086937f3ff22"], + +Cell[BoxData[ + RowBox[{"{", + RowBox[{"1", ",", + FractionBox["3", "4"], ",", + FractionBox["3", "4"], ",", "0"}], "}"}]], "Output", + CellChangeTimes->{{3.88785655796075*^9, 3.887856586267123*^9}, + 3.887856819869664*^9, 3.8878574406294107`*^9, 3.8878685549586477`*^9}, + CellLabel->"Out[78]=",ExpressionUUID->"6d4584eb-85c3-475d-b249-976b7184a2dc"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"{", + RowBox[{ + RowBox[{"MOr", "[", + RowBox[{"{", + RowBox[{"1", ",", "1", ",", "1"}], "}"}], "]"}], ",", + RowBox[{"MOr", "[", + RowBox[{"{", + RowBox[{"1", ",", "0", ",", "1"}], "}"}], "]"}], ",", + RowBox[{"MOr", "[", + RowBox[{"{", + RowBox[{"0", ",", "1", ",", "1"}], "}"}], "]"}], ",", + RowBox[{"MOr", "[", + RowBox[{"{", + RowBox[{"0", ",", "0", ",", "1"}], "}"}], "]"}]}], "}"}]], "Input", + CellChangeTimes->{{3.8878567696668053`*^9, 3.887856779073307*^9}, { + 3.887857444197805*^9, 3.887857454691557*^9}}, + CellLabel->"In[79]:=",ExpressionUUID->"bbbcf283-feeb-4018-be79-956830d340bd"], + +Cell[BoxData[ + RowBox[{"{", + RowBox[{"1", ",", + FractionBox["5", "6"], ",", + FractionBox["5", "6"], ",", + FractionBox["2", "3"]}], "}"}]], "Output", + CellChangeTimes->{ + 3.8878567795206223`*^9, 3.887856821933949*^9, {3.887857441478931*^9, + 3.887857455024445*^9}, 3.887868555741426*^9}, + CellLabel->"Out[79]=",ExpressionUUID->"e6d7d0cc-0538-465d-afa3-325a7ea9d664"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"{", + RowBox[{ + RowBox[{"MOr", "[", + RowBox[{"{", + RowBox[{"1", ",", "1", ",", "0"}], "}"}], "]"}], ",", + RowBox[{"MOr", "[", + RowBox[{"{", + RowBox[{"1", ",", "0", ",", "0"}], "}"}], "]"}], ",", + RowBox[{"MOr", "[", + RowBox[{"{", + RowBox[{"0", ",", "1", ",", "0"}], "}"}], "]"}], ",", + RowBox[{"MOr", "[", + RowBox[{"{", + RowBox[{"0", ",", "0", ",", "0"}], "}"}], "]"}]}], "}"}]], "Input", + CellChangeTimes->{{3.887856791556711*^9, 3.887856797099951*^9}, { + 3.887857457591303*^9, 3.887857468175116*^9}}, + CellLabel->"In[80]:=",ExpressionUUID->"71f37cfa-981b-40e5-a0d8-fa74a7eec67a"], + +Cell[BoxData[ + RowBox[{"{", + RowBox[{ + FractionBox["5", "6"], ",", + FractionBox["2", "3"], ",", + FractionBox["2", "3"], ",", "0"}], "}"}]], "Output", + CellChangeTimes->{{3.887856797569421*^9, 3.887856824009942*^9}, + 3.8878574685754128`*^9, 3.887868556297674*^9}, + CellLabel->"Out[80]=",ExpressionUUID->"1bb20ed2-55c8-4373-915f-76acf184d84a"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{ + RowBox[{ + RowBox[{"MOr", "[", + RowBox[{"{", + RowBox[{"x", ",", "y"}], "}"}], "]"}], "//", "PiecewiseExpand"}], "//", + "FullSimplify"}]], "Input", + CellChangeTimes->{{3.8878568252634706`*^9, 3.887856828607362*^9}, { + 3.887856865934547*^9, 3.887856921438949*^9}, {3.8878574703374033`*^9, + 3.8878574714155207`*^9}}, + CellLabel->"In[81]:=",ExpressionUUID->"ee399cf7-6108-4634-8c8a-57cecc449dca"], + +Cell[BoxData[ + TagBox[GridBox[{ + {"\[Piecewise]", GridBox[{ + { + RowBox[{ + FractionBox["1", "4"], " ", + RowBox[{"(", + RowBox[{ + RowBox[{"x", " ", + RowBox[{"(", + RowBox[{"5", "-", + RowBox[{"2", " ", "x"}], "-", + RowBox[{"2", " ", "y"}]}], ")"}]}], "+", "y"}], ")"}]}], + RowBox[{ + RowBox[{ + RowBox[{"2", " ", "x"}], "<", "1"}], "&&", + RowBox[{"x", "\[GreaterEqual]", "y"}]}]}, + { + RowBox[{ + FractionBox["1", "4"], " ", + RowBox[{"(", + RowBox[{"2", "-", "y", "+", + RowBox[{"x", " ", + RowBox[{"(", + RowBox[{ + RowBox[{"-", "1"}], "+", + RowBox[{"2", " ", "x"}], "+", + RowBox[{"2", " ", "y"}]}], ")"}]}]}], ")"}]}], + RowBox[{ + RowBox[{"x", "\[GreaterEqual]", "y"}], "&&", + RowBox[{"(", + RowBox[{ + RowBox[{"(", + RowBox[{ + RowBox[{ + RowBox[{"2", " ", "y"}], ">", "1"}], "&&", + RowBox[{ + RowBox[{"2", " ", "x"}], "\[GreaterEqual]", "1"}]}], ")"}], "||", + RowBox[{ + RowBox[{"2", " ", "x"}], ">", "1"}]}], ")"}]}]}, + { + FractionBox["1", "2"], + RowBox[{ + RowBox[{"(", + RowBox[{ + RowBox[{ + RowBox[{"2", " ", "x"}], "\[Equal]", "1"}], "&&", + RowBox[{"x", "\[GreaterEqual]", "y"}]}], ")"}], "||", + RowBox[{"(", + RowBox[{ + RowBox[{ + RowBox[{"2", " ", "y"}], "\[Equal]", "1"}], "&&", + RowBox[{"x", "<", "y"}]}], ")"}]}]}, + { + RowBox[{ + FractionBox["1", "4"], " ", + RowBox[{"(", + RowBox[{"x", "-", + RowBox[{"2", " ", "x", " ", "y"}], "+", + RowBox[{ + RowBox[{"(", + RowBox[{"5", "-", + RowBox[{"2", " ", "y"}]}], ")"}], " ", "y"}]}], ")"}]}], + RowBox[{ + RowBox[{ + RowBox[{"2", " ", "y"}], "<", "1"}], "&&", + RowBox[{"x", "<", "y"}]}]}, + { + RowBox[{ + FractionBox["1", "4"], " ", + RowBox[{"(", + RowBox[{"2", "+", + RowBox[{"x", " ", + RowBox[{"(", + RowBox[{ + RowBox[{"-", "1"}], "+", + RowBox[{"2", " ", "y"}]}], ")"}]}], "+", + RowBox[{"y", " ", + RowBox[{"(", + RowBox[{ + RowBox[{"-", "1"}], "+", + RowBox[{"2", " ", "y"}]}], ")"}]}]}], ")"}]}], + TagBox["True", + "PiecewiseDefault", + AutoDelete->True]} + }, + AllowedDimensions->{2, Automatic}, + Editable->True, + GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{1.}}}, + GridBoxSpacings->{"Columns" -> { + Offset[0.27999999999999997`], { + Offset[0.84]}, + Offset[0.27999999999999997`]}, "Rows" -> { + Offset[0.2], { + Offset[0.4]}, + Offset[0.2]}}, + Selectable->True]} + }, + GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{1.}}}, + GridBoxSpacings->{"Columns" -> { + Offset[0.27999999999999997`], { + Offset[0.35]}, + Offset[0.27999999999999997`]}, "Rows" -> { + Offset[0.2], { + Offset[0.4]}, + Offset[0.2]}}], + "Piecewise", + DeleteWithContents->True, + Editable->False, + SelectWithContents->True, + Selectable->False, + StripWrapperBoxes->True]], "Output", + CellChangeTimes->{ + 3.8878568290333977`*^9, {3.887856866592823*^9, 3.887856921908496*^9}, + 3.8878574720098467`*^9, 3.8878685570465317`*^9}, + CellLabel->"Out[81]=",ExpressionUUID->"9323c79e-d618-4f67-94d6-c8574f2b049b"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{ + RowBox[{ + RowBox[{"or", "[", + RowBox[{"x", ",", "y"}], "]"}], "//", "PiecewiseExpand"}], "//", + "FullSimplify"}]], "Input", + CellChangeTimes->{{3.8878568990732327`*^9, 3.8878569289689627`*^9}, { + 3.887857474305163*^9, 3.887857475160321*^9}}, + CellLabel->"In[82]:=",ExpressionUUID->"fdaf3a05-03b7-4f3d-93ab-0ab35ed7d368"], + +Cell[BoxData[ + TagBox[GridBox[{ + {"\[Piecewise]", GridBox[{ + { + RowBox[{ + FractionBox["1", "4"], " ", + RowBox[{"(", + RowBox[{ + RowBox[{"x", " ", + RowBox[{"(", + RowBox[{"5", "-", + RowBox[{"2", " ", "x"}], "-", + RowBox[{"2", " ", "y"}]}], ")"}]}], "+", "y"}], ")"}]}], + RowBox[{ + RowBox[{ + RowBox[{"2", " ", "x"}], "\[LessEqual]", "1"}], "&&", + RowBox[{"x", "\[GreaterEqual]", "y"}]}]}, + { + RowBox[{ + FractionBox["1", "4"], " ", + RowBox[{"(", + RowBox[{"2", "-", "y", "+", + RowBox[{"x", " ", + RowBox[{"(", + RowBox[{ + RowBox[{"-", "1"}], "+", + RowBox[{"2", " ", "x"}], "+", + RowBox[{"2", " ", "y"}]}], ")"}]}]}], ")"}]}], + RowBox[{ + RowBox[{"x", "\[GreaterEqual]", "y"}], "&&", + RowBox[{"(", + RowBox[{ + RowBox[{ + RowBox[{"2", " ", "x"}], ">", "1"}], "||", + RowBox[{ + RowBox[{"2", " ", "y"}], ">", "1"}]}], ")"}]}]}, + { + RowBox[{ + FractionBox["1", "4"], " ", + RowBox[{"(", + RowBox[{"x", "-", + RowBox[{"2", " ", "x", " ", "y"}], "+", + RowBox[{ + RowBox[{"(", + RowBox[{"5", "-", + RowBox[{"2", " ", "y"}]}], ")"}], " ", "y"}]}], ")"}]}], + RowBox[{ + RowBox[{ + RowBox[{"2", " ", "y"}], "\[LessEqual]", "1"}], "&&", + RowBox[{"x", "<", "y"}]}]}, + { + RowBox[{ + FractionBox["1", "4"], " ", + RowBox[{"(", + RowBox[{"2", "+", + RowBox[{"x", " ", + RowBox[{"(", + RowBox[{ + RowBox[{"-", "1"}], "+", + RowBox[{"2", " ", "y"}]}], ")"}]}], "+", + RowBox[{"y", " ", + RowBox[{"(", + RowBox[{ + RowBox[{"-", "1"}], "+", + RowBox[{"2", " ", "y"}]}], ")"}]}]}], ")"}]}], + TagBox["True", + "PiecewiseDefault", + AutoDelete->True]} + }, + AllowedDimensions->{2, Automatic}, + Editable->True, + GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{1.}}}, + GridBoxSpacings->{"Columns" -> { + Offset[0.27999999999999997`], { + Offset[0.84]}, + Offset[0.27999999999999997`]}, "Rows" -> { + Offset[0.2], { + Offset[0.4]}, + Offset[0.2]}}, + Selectable->True]} + }, + GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{1.}}}, + GridBoxSpacings->{"Columns" -> { + Offset[0.27999999999999997`], { + Offset[0.35]}, + Offset[0.27999999999999997`]}, "Rows" -> { + Offset[0.2], { + Offset[0.4]}, + Offset[0.2]}}], + "Piecewise", + DeleteWithContents->True, + Editable->False, + SelectWithContents->True, + Selectable->False, + StripWrapperBoxes->True]], "Output", + CellChangeTimes->{{3.887856905944065*^9, 3.887856929517396*^9}, + 3.887857475770712*^9, 3.8878685579118223`*^9}, + CellLabel->"Out[82]=",ExpressionUUID->"46acf535-5b79-46d7-b12d-60f829e69e5f"] +}, Open ]], + +Cell["MOr is identical to or in the case of two variables!", "Text", + CellChangeTimes->{{3.887857130114312*^9, 3.8878571445323277`*^9}, { + 3.887857480731415*^9, + 3.887857487903494*^9}},ExpressionUUID->"4cd6585f-4582-4207-97b3-\ +fd61d0222d49"], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"Manipulate", "[", + RowBox[{ + RowBox[{"Plot", "[", + RowBox[{ + RowBox[{"{", + RowBox[{ + RowBox[{"or", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", + RowBox[{"MOr", "[", + RowBox[{"{", + RowBox[{"x", ",", "y"}], "}"}], "]"}]}], "}"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"PlotRange", "->", + RowBox[{"{", + RowBox[{ + RowBox[{"{", + RowBox[{"0", ",", "1"}], "}"}], ",", + RowBox[{"{", + RowBox[{"0", ",", "1"}], "}"}]}], "}"}]}], ",", + RowBox[{"GridLines", "->", + RowBox[{"{", + RowBox[{"{", + RowBox[{"1", "/", "2"}], "}"}], "}"}]}]}], "]"}], ",", + RowBox[{"{", + RowBox[{"y", ",", "0", ",", "1"}], "}"}]}], "]"}]], "Input", + CellChangeTimes->{{3.887856985475479*^9, 3.887857033082117*^9}, { + 3.887857085744154*^9, 3.887857093120468*^9}, {3.88785749997081*^9, + 3.887857503174993*^9}}, + CellLabel->"In[83]:=",ExpressionUUID->"0fed3588-9948-4295-8866-b6cc4c9afeac"], + +Cell[BoxData[ + TagBox[ + StyleBox[ + DynamicModuleBox[{$CellContext`y$$ = 0.012, Typeset`show$$ = True, + Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", + Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = + "\"untitled\"", Typeset`specs$$ = {{ + Hold[$CellContext`y$$], 0, 1}}, Typeset`size$$ = { + 360., {113., 116.64199019669311`}}, Typeset`update$$ = 0, + Typeset`initDone$$, Typeset`skipInitDone$$ = True}, + DynamicBox[Manipulate`ManipulateBoxes[ + 1, StandardForm, "Variables" :> {$CellContext`y$$ = 0}, + "ControllerVariables" :> {}, + "OtherVariables" :> { + Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, + Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, + Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, + Typeset`skipInitDone$$}, "Body" :> Plot[{ + $CellContext`or[$CellContext`x, $CellContext`y$$], + $CellContext`MOr[{$CellContext`x, $CellContext`y$$}]}, \ +{$CellContext`x, 0, 1}, PlotRange -> {{0, 1}, {0, 1}}, GridLines -> {{1/2}}], + "Specifications" :> {{$CellContext`y$$, 0, 1}}, "Options" :> {}, + "DefaultOptions" :> {}], + ImageSizeCache->{406., {156.6875, 162.3125}}, + SingleEvaluation->True], + Deinitialization:>None, + DynamicModuleValues:>{}, + SynchronousInitialization->True, + UndoTrackedVariables:>{Typeset`show$$, Typeset`bookmarkMode$$}, + UnsavedVariables:>{Typeset`initDone$$}, + UntrackedVariables:>{Typeset`size$$}], "Manipulate", + Deployed->True, + StripOnInput->False], + Manipulate`InterpretManipulate[1]]], "Output", + CellChangeTimes->{{3.887857009022521*^9, 3.887857047597962*^9}, + 3.887857093662039*^9, 3.887857503562088*^9, 3.887868559554233*^9}, + CellLabel->"Out[83]=",ExpressionUUID->"ef95a981-1be9-4bf0-8a03-30d7e9a378a0"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[{ + RowBox[{ + RowBox[{"orp1", "=", + RowBox[{"ContourPlot", "[", + RowBox[{ + RowBox[{"Max", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"{", + RowBox[{"y", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"Contours", "->", "10"}], ",", + RowBox[{"ContourShading", "->", "Automatic"}], ",", + RowBox[{"ColorFunction", "->", "GrayLevel"}], ",", + RowBox[{"Frame", "->", "False"}], ",", + RowBox[{"Axes", "->", "True"}], ",", + RowBox[{"AxesLabel", "->", + RowBox[{"{", + RowBox[{"x", ",", "y"}], "}"}]}]}], "]"}]}], + ";"}], "\[IndentingNewLine]", + RowBox[{ + RowBox[{"orp1", "=", + RowBox[{"Labeled", "[", + RowBox[{"orp1", ",", + RowBox[{"Style", "[", + RowBox[{"\"\\"", ",", + RowBox[{"FontFamily", "->", "\"\\""}]}], "]"}]}], "]"}]}], + ";"}], "\[IndentingNewLine]", + RowBox[{ + RowBox[{"orp2", "=", + RowBox[{"ContourPlot", "[", + RowBox[{ + RowBox[{"or", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"{", + RowBox[{"y", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"Contours", "->", "10"}], ",", + RowBox[{"ContourShading", "->", "Automatic"}], ",", + RowBox[{"ColorFunction", "->", "GrayLevel"}], ",", + RowBox[{"Frame", "->", "False"}], ",", + RowBox[{"Axes", "->", "True"}], ",", + RowBox[{"AxesLabel", "->", + RowBox[{"{", + RowBox[{"x", ",", "y"}], "}"}]}]}], "]"}]}], + ";"}], "\[IndentingNewLine]", + RowBox[{ + RowBox[{"orp2", "=", + RowBox[{"Labeled", "[", + RowBox[{"orp2", ",", + RowBox[{"Style", "[", + RowBox[{"\"\<\[PartialD]OR(x, y)\>\"", ",", + RowBox[{"FontFamily", "->", "\"\\""}]}], "]"}]}], "]"}]}], + ";"}], "\[IndentingNewLine]", + RowBox[{"orPlot", "=", + RowBox[{"Grid", "[", + RowBox[{"{", + RowBox[{"{", + RowBox[{"orp1", ",", "orp2"}], "}"}], "}"}], "]"}]}]}], "Input", + CellChangeTimes->{{3.887889618763528*^9, 3.8878896236410103`*^9}, { + 3.8878897339693537`*^9, 3.887889744528928*^9}, 3.8878900743459387`*^9, { + 3.887890190312771*^9, 3.8878901904430647`*^9}, {3.887890515809647*^9, + 3.8878905660614357`*^9}, {3.887890688854076*^9, 3.887890695565502*^9}, { + 3.887891255780734*^9, 3.887891255919057*^9}, {3.887949706625394*^9, + 3.887949712586328*^9}, {3.8879510856702547`*^9, 3.887951128037455*^9}, { + 3.887953828965436*^9, 3.887953833625577*^9}}, + CellLabel-> + "In[723]:=",ExpressionUUID->"369ed30d-1130-482c-8a48-d10d19130428"], + +Cell[BoxData[ + TagBox[GridBox[{ + { + TemplateBox[{ + GraphicsBox[{ + GraphicsComplexBox[CompressedData[" +1:eJzFnQmUXVWxsAPODAqKEGcFnCFGRRSCbHkqIMKTIYLwK5OKAwgID4EozydC +RJQpoKJhspExgNBJOglBSG6Szpx0upNOekr69tzpTidCEBSB/969z1f1qk6O +ret3rb9XFpva55w91K656pz7nrMvOPGbO48ZM2b2HmPGVNsp+3+h8q82jMn+ +ElwSuK3ue5V/y931RoHj5bZmgVtTh8AvvVz92yTwTfH5LoH3q4JTegSeGR/v +E/ioOOGgwC1x/CGBz40L3CJw+tvmYN0n+wNmf/Z6o8DsD5j9AbM/YPYHzP6A +2R8w+wNmf8Dsz57TNgfrufl92v2V3P5Kbn8lt7+S21/J7a/k9ldy+yu5/ZXc +/kpufyW3vzwd7vjc/D4bBWZ/wOwPmP0Bsz9g9gfM/oDZHzD7A2Z/lo+2OVj5 +asd0WMrtC9ieX6M7v0Z3fo3u/Brd+TW682t059fozq/RnV+jO7+8nNgxX5Vy +5+T3Bcz+gNkfMPsDZn/A7A+Y/QGzP2D2Z+XcNger3NuxnCjl6M6fk98XMPsD +Zn/A7A+Y/QGzP2D2B8z+rNzeFork+I7lXinHR57u/Dn5fQGzP2D2B8z+gNkf +MPsDZn9WD20LRXppx3K8lJMLno883flz8vsCZn/A7A+Y/QGzP2D2Z/XqtlCk +Z9mfl9teznm54PnI050/J78vYPYHzP6A2R8w+7N2wrZQZDewP6+HvNz2cs7L +Bc9Hnu78Ofl9AbM/YPYHzP6s3bMtFNlB7M/rVa+HvNz2cs7LBc9Hnu78Ofl9 +AbM/YPZn7bhtociuY3/eTvB61eshL7e9nPNywfORpzt/Tn5fwOzP2qXbQpGd +yv683ePtBK9XvR7yctvLOS8XPB95uvPn5Pdl7extocjuZn87tuO83ePtBK9X +vR7yctvLOS8XPB95uvPn5PfF+moK/ImabL0j7j59zt/H8xbeJteL+v28XLf9 +Uxyetwbbjx2t/bT00/pxiuax+83Pk9q5OXzY/trcdfrT/uvlflr6oS9/3dJd +g9xPSz/06K/Tn7a1Vu6npd/Sr16n/+j4Py1yPy390Lu/Tv95cSEdcj8t/fCH +v277y3K/Ha8s/OSvW/usW+6npR/+89fpT+P1yv209Fs7Qq9be6Jf7qelH/72 +1+m/Ma5js9xPS7/Ve3qd/n3jOoblflr6kR/+utVHI3I/Lf3IG3/d6gPPJ7WF +fEBbROdW/ubpmLaITmmL6JC2iM5oi+jI2s15OqEtogNrp+XPmbboHGmLzsnq +4ZEMn9OcHJ2WXa/L8DwvB6fbF2Z4WJqDz4+3rwyxe/81OTjN0xTSsOtycNz+ +y+szfLbm4ITH9gxfG3NwWk9nhudyDk77wZ/pzsFpH70ZnvtycDrf/gzPAzk4 +zTMYZsRxN+fgNM9QODKOuyUHp3lGhE+s3q2T87L8U+PgWjkXe34NbtwG4TvO +ieesPK8X2PJjkzwHXzEuMHzJOfIcfMa4wPAp58pzVk63OD5sk3PmOcuHHQJb +f77L0Uev0zu9Tk/0Onrpd+P2O73Q7+hns4wLbPXAoKOnYRkX2Mr9IXkOvmZc +YCvnR+Q5SxfQV72zl2pz91n53SznY/3pdueHql5ivZb+ahy91Mi52etlgcE7 +MHgCBg/A4M/Px36YD5j5gJkPmPmAmQ+Y+aweVD61+qne0X+9zA/M/MDMD2zP +vd7pAZUTRXKA+S3/lgVmfmDmB2Z+YOb348HvjAfMeMCMB8x4Vu/nz9HjtUgu +WfuwReYHZn5g5i+iU09H/lw9nr3cs/Zih5MXHTJ/EV94uvV0VHQORXLV4qPs +8FF2+MjzpecbT8eerjxd+HPycpz1ALMeDyNvvZzwfOz5ytO5p1NPN/4cPR69 +nvByyssRz9eezzyfeLr1dOTP0ePR6yUvN71c83LG873nW89Hnq49XRWdY5Fe +TPMV26H7Gz2ftwO9HYbeS/ue5uyuOmnBk5XvdbIO8GT5camsy/vf9KNX03Bq +F4NX9Ky3i61/U3b8XZZ+9u39V9vfn7N7rb86mLN7ORfw6P1Dj9+Et1rZH3aF +tePaZH5vL9m4WIPYKda+qHV6YMwYK8drnZweM8bK2VonR3m+LNetXCOv1i3X +rVwhL9Uv1y2fjxlj+bDW8dmYMdaeqXV6qeT0RMnJ6ZKzn0pOLpWcHCg5+0nz +9dA16/J6N/HPcqcnlzu9tdzpjeVOTi93cnK5k0uaX//HdFDK6eHU3+jw0+jw +0+jw0+jw0+jw0+j0cLPTg81O7zQ7ud/s5GzzP0nHpRzevR/m9arNY/YLbPVE +m5PLbf8k35Ry5+7x7v0+r0fx12w8bJPTA5v+ST4t5ejOn7s/N+9ner2Of8j6 +gFmfz8/+YzlRyvGBp0NPR/4cvZ/r9Tz+KevzsM9H/mO5VcrxqecTT+eezvw5 +e7x6v/pfk5ulnNzwfOv5ztO9pzt/zh6v3q//1+R4KSfXvFzxcsHzpecLT4ej +nbuPM+xYztaIHYN9xHXsRK6nXc5zeQ5fB1Qvdo+3j7jPxmHUvsH+sXH7DrlO +XJB+n9e3/Nyds4983pHzxI4hrsf+sGvYV7y9Ypcyv7XTND5p7fBBd45Dzp6s +y9mZ4Iv50nqacnYjMK23G4HBA7DvBz+snziXtxOBbb/aicDgEziNNycbf4bQ +Efu18nxp1qI32ty5+3wRMPG2wdy4CT+LMzwuEDrccTx7eda/JsyK867K1t0g +/djxVq+sy+Zfn1tn6kcvdQodpufVb7FyCHqGjrulHzve5hmId6q9Trww0TV+ +15DDzxTZB/YU9ARegC2fNwtdsu/0/FqRX9Ap9AbegK2dUJZ5bLxR/Rfvz/g6 +F+gWPKT7el28Uv0d8Ahsx1kqcp5zT/tZIeu1eqUnu97l4utzBW/A4BU+sPJF +4/T2uaacHAW2++pw+akOwRt85OPiwFaO9ubkps2zjAjf27oP7y8O5OLYwDaP +lc9TgS/4N3UvKswb2bgSdl+nnK/P47AO+CPBGn8Av+glm1dsEfmE3AQ/7Nvm ++QZEPnk5iVxETno9gFwCZl7kpJfj1t7qlnmRk+DBywlg6B35aOkf/6tZ+B76 +R54BI7cSPvqEL9kH5wzfMx/jpuuNcr7wgaXLdpEHzM88Ce5xeqhX9slz4Jdz +T/tbJvoCfNpzVnlu6X8obIjPbRF5C12zP+iW9aKnUlsj9yOfrRyZIvfxXLo+ +TZ6z+e0WmQ88wyfANv65SejdP+fzuFbObxC6tHVu/UJvNg612cn1fpf3Hsg9 +5/O0Vq73C52DZ2uvLnd4XZbR4XyhKyv3GwWG/nmOcwM/tv5yo9BHWs8moTtr +h/UIDL/wHPk99g99AUNfiY6Hcvu09LxW9sE+adH38Bn87ffl62hsPLLX2Yvd +ju+6c3Uo7IN9omfZh6133SjnzHOs2+a5G0Q/I1+A7bq6ZF3oa2v/qv6Gzyxc +K/hDflk92iKwjTP0OrtnRO4Dtn7miJNP00Q+wYfII/jC+xfIDStv6+X8vH2A +HWDrFzbL/Mgb5rd+6YCcM+exY/t5peDf27dWHi7L7v+TPAe+gdkf52zvx25d +7PhK5a49D/U3oQPuhz+xK+C/tO/Njj5KQh+cl6WXejl3K6d7c/6XjV+NOHti +xNkxI+68lgu+wA/2hfWb22W/2BPQC/sBn3Zc1f8277JJ8OXr0r1/wn5YVxp/ +qswHn7Mu9Iw9j26xa9AD7bF/TbaPldk8PZn92CXzpf1dKePb/QzKernfxiGX +uri01vVAd5w3dMN5Ym/afNlSkTfQtbcDwYuVv1r/5u1A60fOCX590Cf7t/ZU +2dk7g86O1nhGGnadswf1vLEXOE/ugy8sHa4VuWfzx/1Oj6o/x3mn8VfIeafn +u5wdrfWKHq/ANn7k6we7nb7udvVf/bm4EnjnHGycpkP2Y+lujth73Acebbyj +X9YPvVj7uyz4QQ6AH/g+zdMo9GfxNc3FvWtkXK7b9wRqZN/+efDP89YeqxH5 +Yt9jqnf0vtTxi8YToS/uZx/Wfl8r16Fb6/e2BOtHtcr6/D78Ov06/Lw+7mnt +qnIuPgl9W33cJ+vhPviYdaR9LXJ83un0SafwOXxs64yHhc85R8s/9zq5Ui90 +Dt6sXGoROrbxhvZcnAB/GTq3dQOD4pexv4QP3Q9+F+tP5/GorBe6wD6BP9I4 +q7J9tLo4pNor8E+avyubR9ebxqmV+awd2OHq/gadvtV4HOcM33MONm9X4/zj +aUJPjGffw6pxeJwm9OXn57yt/Fb7nOvMz3Vbl1Hn3gubK/N7P9fGxZuFrpif +68zPdStPl7p64YXuvbN6md+PB98yHufCeNidvk6B8fz96Dfut/Jn0MWR62Xf +rNvv2+tR7mddXGcdVl90C2ztsRbRI/CttctaZL1eHlo6nJKjQwvPdedWl6Mb +a4/Xy/3gw5+zfb5B7gcf/hx3bGe05ewQqxfaXZ1Kh+DL+6dW3g3KdfDj+cLT +qaczT0c+Tm7zYn0iV21+puzOsyzr89dtfd5gzr7xfgnzol/8vN6Os++3dsl1 +H9eHvqzcmpKTWxae6/i8LidngKEvy5cLc3LBPt8g99vz8XyvfG7lXlOO7+18 +LXK/Pd9Bp0+Vzuz7sO05urPjl91+O3N0AMx5WXx25ejC2+GWzorzLJynjX8j +7xY7elL7BH1u9cJikYPgFf8izaN+Knk6yydlF3dRv8XHrcmzYY+wHhuvbpb7 +GRf6wE/kfL0c9HKB+y3d1gne/HheTnq6BoZ/fJ7L65l033IZz9O9l7NpnEbH +l03C156ugW0+T+nYyne+H6Dxfk/HwFY+aF2f9zvs9ZLA3o4AD96vsM83Cmz5 +W+uPgC0/ax7Ry03rH+T50H9/oMius3w1Q9YLPdj4zgKX514k91u69XWd8Kl+ +h4HzwB9N43S6fJHmw4vqQi2fqTxHDhD3Y5/pfOYL7POexPVYN3F6YPyB1K4W +ez+dR7fwO3LenzP8j1xkHT6PAMy8O84D9Ejc29bfat6SPAAw67f2qubnOE/k +CfQMn9h4whw5H87b6us2F2fqELrjHNm/9YfKcr+NJw3K/JyvHb/s8pEzhC7R +K1YeTSmQA96uUDng43xFcgA80s867DlqfaVdV8nZx8tzctTy13oZz/K7vuds +7Se/z5KTy8vd9UYnZ5oFtvJJv89h7ZO8XLL2R7/j3zFjbJ2Qvtdhv/tSI/SG +XEOvWP+xUWAbz5sv46fn5sr4wIxv5Yq+t+nfg7b6d56MD73a+p56Fz9YKuNz +3dZB1Dt7W+PCyBtgS39z5TqwPdde59/2CMz6kAOsj+v2exQNsj6rB3tlfiv/ +18r46EXG57qNY62V8f392MncD8z96FXsT1sf0iOwzR9skvGxq238zcuzjW49 +Zbeesqt/0/epiuic8yqiU+iiiM5sHCJ/zlZP5c/J5y1t/aDWEXEd2K5vRPwG ++10YHx/X98mK+Iz9FfGJjX/k6ZT9FdEZ+yuiK/ZXRBc+L+fpwOab83ix56h5 +YF9HxXVfZwU+En8sysYnDurfN+3M+IK4QWcuzpvG5fsDwyLXrLyd6/wG4r73 +ih618niKe25qLg+VbtP32tkX93n7zceVLb9rnBk9XFT3kubdkMt7pX597xw8 +2vxg2dljGre2eXhf91VcB5PW1S/PWT2r74XbOmK1i21+UuPc2AEW39hLszL6 +mSn93Ec/92E/WDsO/mh1+GlzdiLxvvZsv+3OT9B+7vN1s3a/il//Hjr2RTp3 +7BDtt/aJ3ufrZNFrCS8NYk+n9TVIv9WXep+Nj2i+IM2n/bYus9vl5RYKH8EX +wJwDfAXdQufQLbDN524QurJ1VcOOToeFLhnH6q32nH3G+ux7JzXOLp2Sq2ux +dqjPd8x1drLaa9Cr/a7eXBmf68A+Dsj9Pk/L/ODdx6VtvdBCF9esl/m4Duzj +itzv42DgydJXXS6O7e03W1/Y5+Li/XId2Npvgzn7jvut3m5ycd+17jw13pOW +rXFO7rf54SY597TPZkfnmvfydMH9/tw4Z0v//c7OGczZj/5+H8/39qCPR/n4 +urcH4VP25+nY05U/V38OPq/j62J9nNbbY2lezetbvs3zqYXnOrrP85nlw3pH +N3m+sM83yP1FdGv5bK2TA3k69HRg4xN67rbeW+nAfl9Tzx07w8sdz9eerzwf +eDr0dObpyJ+jz9P4Omc/P/MCp3NvlLy4jcPkv5tj/Yd8vRF0k8a9UvqtfaLv +29vrefvO1mcM5uwt7GSrr3zcpVb4gjjEP46b1LrxSm68ktNvJfd8Ps7j6859 +XAa8QeesAxj+stdLOb7gPH2cx9Jps9NHzbm8gs3jtTl5ou/z+7hQUZyI/Vm7 +wZ/LPHe9JDDywsrD5QKDB/t8o8DIAyt/mwW29a3+vWp9j8bXPY5GVz5uZOsu +Srm4j5UPy3NxF/t8Yy5uYuVDcy5OYuVDWy7OYf32Tbm4hh2vy93f7eRXT66O +yceJ/XtDvk7Uy1PoCP1i7YTF4g9xv43v1Ts7QfMGyFcrf8pOL5TF/+F+n2ew +ekHzDDafudnlE/Nx/TT+DFkncptzBuacUwuf+/fy1kvr5aqtd2qTdSP3/Xf0 +rP5H7ut7d7Zusz8np4HTvmZl+5gufmCiszbx09L8g4IH+AZ7weYF/H79+5jd +rk5S1wv+8QvtfFcK3uFD8G7l73qX31kvfqPNTzc6+tD6WStv+pz863f6tl/8 +SmD4zq6/1s3XJuskj2bfM90o9Apf2jzUgOAL/5x4VFrHIok/Jbx1Srwp8bXm +9Wy94XShi4S3FbJO6AI6Sde73LrVv7f1ffr+GueWnidvB78ojF+e8Knvs9k8 +JefDd7oVtnZUndCPfa+h2dm562XfwNhl7NPGT7SuxtfZQA/gyfJlt4sj9Qu9 +QA82P7nR1a9vdnHPfnk/gvGQy9bunCbrs3K5S/QfsOWzLpcX6BK5DAyfIweQ +w8hJ7HlgrjMu14GRA8gJ5LSViwrb95v0uxHAto5uilu/1s+it+CzdC7rBfb1 +s+ghnkM+pmEXSX6/zujLBYIn9kudDHwCbPmlU/Cc+vFrtc4YGLxZudYrfARs +5dyQ+96lvr9u64H1/QP2wbrRe6wb2NYj6TrQW/b9817BI+ODX+jH2rn593hY +H/Leyp/GnN5mffa7Hqpnvd5lHfAV81i+WyP2kOcj7Ddg+35rs9wP/XE/sH3f +UetPi/Sk14vgyX7/rEdgWy/S6tbd6vz7Nlk3dox9P6rPff+jz73PpXq2SA97 +vct9Nh+gv0dh6Uvr5fAT2D/ywJ7nXKEL5LHNI9YK/pAfqdX3Ktk/16GL1C53 +45VkPOjcjleS8aycqRX+sOM3uXxSk/Nzif8tk30CQ8c2L7pc1mf154hcZ322 +Xq1XxuN55rf7a5Tn/XXol+vQv6137BC+tO8bjgh98ryvl7bvj8xz74ssFRh+ +8nxr39fV7+gwv30/b8TFI2sdnqcFS5clR7fzHB6XOzt6qXtez5H1W7ptlutW +D+l7tFwvyvNbOaLxKuQT5wLs89f2+ysjIvfAj6WzaY5O/HtQJbkffNn7l8t1 +8GXfh26U6+DLrqtZroMv+95wm9tXq1y3entE8Md1Tzf4+5Zuexxddct1q59U +7nLd1hWPOLk54vTrXLFfbP5Y88RW/iwUf5nn0AfejrH1wOR71gpfWH5Gn+v7 +Sz7vyXM279k5ip3TK35C6u8V+8fajZr39Xlg/x1x9AzP4d+jXzj/BNfI+XOd +fQPb3zmqEfuW6/a7aFNkPvQN83Geto6mzuG5zv3O0lyZj+v2ezJ1Mh/nb+m7 +Xubjuq0DWOi+T1Av83Gd+fz4Nk+x0embDoHt7/s0yPhcZ3x/P/rUfpesyb3n +jf2pcW+eBy88z3Wet/ab1l9bf6dDnrf+5maXZ9J6bDt/2eGz0+FT7ycuY8+7 +y513l5yD/50D5Cp4Bj/4zXWZfcG8drxOkXusA/2Bn2z1R/47/P73tdALyCNr +f9cJjPywcWfkR6vLP7c6u3LAxU/871YM5Ow05CLzAyc9M1/wZOWnwlxP9LNY +rgOncRslDmR/V2KpnA8w+Ld6q1P2C2zr9fL14/Y5/V6DrS/HT+mRuBR0YOvv +u53e03gseACvzGvpW9+Pp7Xfb9B4GXIHerX6Rev5oJs0T4PQFfYBMPqO8diP +fb+iW+jM5jHa3HsvvTJfGneZe77s6GSZ4MPWsQ+LnwXe0nPrnN5e6/DY5/Rx +r8t76fvoPM951mV6PvV3ib9p46gtLq/RK/vB3wJGH7E/a9+rvcB+iY8BWzlW +L3xh6WmFnL/dR6fsw9bvjTh62+Li4AuFX5k39ef5E/mJvOQ87fftlL9svUOe +n6wdrvSSxi25c0d+L3DxO+Wr9Fyn+76UtsSDoFfsQ2DLP2sdv61zck9hG1fv +ENjyU6/zN3oFTzY+2+PiwfcKXuw6upz/2eX4o0vut3mMFuEz1oE8Jh6P/Ev7 +7JRxiUcwb8L3FOenax0z/MW+sSes3tQ6W/td3RG5z37PptfNV5JzgD6AoRuL +d9UP0AswdMQ4lq8XOD3ZKXwHbOVQPi4JHXIuxBuB2RfnQnwR2Puv3M95M17q +nyb6HLxzfv69OZ9nt3U2+t4YsM0r63e5OA+fl/d5bPQ68sTn6X1em3mR6/T7 +uqc0fmMu701r8at5fZ8H93hj3cA+L27z/ZtyeXH/Ho7Pi/tzsP51Vy5P7r/D +6c+N9fo6El/34es8fB2Hr9vwdcr+u5D+9+dsvEJ/dy61W51+GpF+5AjP2bZG +7kNu0NKf6GJrhh9t6U/3TZV8LS39ln/874Hqd86gexu/1N/3tP3Lhe5tfEp/ +D9N/Nw268t+1tvVm+h0+6MzWPen3E/132Gw9gf4uJK3/Dp8/Z1uPgr+gfhd2 +qf3O2wpp6bfyvNHJtbUi15DrtFZ+tgh/Wj2D378hV99AP3ouzat+n/Xz/Pf/ +1G6BDz1foq+Q4+gZWivf+x3/6blRZ+3rJegnT57oQf1O/zuQnt+s3h0R+5CW +fuuX3ist/bQJLzPET7Tf2/uT9NOiV9O5L8vObbG09NNCN9Y+gh5axb6hpZ/W +1q1sEvvcvu+7SdopmV63+Stt6aeFLmw+qkf8ON73oKXf1kUMih+Jf0BLPy12 +BfacrbNQf8rae1vETrX80yF2CHFDS5+Dzi7xfKZ0i5zz52n9ef0dJOtXa0s/ +9rSvT/b79d9L9nqcdafxWLe29Fs6aXP7ov4X/tQ6Dvo5R/s9jSXiT9HSn/is +LP4RLf0vxvH1PSxa+sEvfGnx1yLzpeslgZHXCU/6fkqSh5rfT8+tFTyl5zUu +znoTrO+TIU+pi6FOxuZDfVybvKjilf2m+4cERt6xjrReXWeSE01C3+yHcdO6 +et35Kb3bvHqjyB30lM2bN7r3gHpEDli/BrnfI/iw3xcfcPbtGpd36pH9Jfpp +dHSs+2Xd7A8/HDjRTY/sl3VDT9gxlp463Ho3u7if/g6G7de6j3Rd/ScbD9G4 +GP3pvmY5P1ro1OKj2f2+ibY2X691WWm8erFjaOlP+OgUO4GWft6LRA/T0p/u +nyl1a7zPRp0a75tRl5b22yB8yftf8BF6Ez2KnkJvoRdsfSj1LdrSDx6oS6Ol +3+rpktOLOp/NS6xwertL9CRyB3mEnEB+wNfwO3LcyvWSrMvzJfreyu82kes2 +v9WZ41P0sf89buS6zX8MidxN65kq9g7xJVr6oSvksP8Oso8LIMfT9Q3S0o/9 +YvV4h/RDp1ZOdzu9qnEG5BD2JS392CPWLhiUfugeOY1/m/Z9pfO7eC94m/hn +1k/bKvfxHP3cBz3Bt9ATfAo9wZdWPjbL+v17cZyHjffr++mcK3LR4l3xY78/ +2+i+P+vfh+G7DI9n5zZLWvptnJH8MvvR92TpZx2sK82/WepfaelHfsNPyHGr +j9SuRp77PAt8ZeuAB1x8fpnTm8tcvqEs+Er77sr5lfZ9pJVyXtY/0++HI4eR +y8hh5DJyGLmMHEYuI4eRy2n/yq+06Cf8QJvP9/XyWp9o9do6ub+oThL56P2x +tM9pst+E98dcHk3P0b4/z/dI29z39fUcbV0GcmDA5V1XuPh0l8h9y7fqfyP3 +4VvwglykTfc3CV6QY/b9gl6RG8ghKze2Oft3tdi7qX+tnDffd8JexX5En2IX +09KPPsWupaUfOYPdBX8A2+8zL3Fy2/++a9nVo5cL9KTyp7X7l7r30fV7V+gr ++72rspxzmme5nDN26xP1z933tsWPCp3ed8m73/Hua+aLHt/2ms+fU/sQcmC5 +tEu++evj545bEX5+/7mLrrhzk+jt5udf+q/usTo+7bHH3/zHb17eFd75i/2e +vOTTao88+sfzjv/dZPJ3W8KyW46a2f/IXeH/zDjmgrO67w4Xfqmx/z8PeiJ8 +4Z2vW/3O+x4PJz5876Pvuaw+jB23x5/mHF7xm6av/Ov021aH977vLa+496OV +c9r38vfcfWaF3y+Y9v6tC9aGm3ZquPAnAx3hqJm3f/cTV3eE8Wf/5qindi2H +s0qPHfPNT5fDkv3KLd0Tu8PwF/7W/vPJ3eErR3/ovNfe0Rv++/zPXvDI6t5Q +M2vdzc+dtTn8901P3HjC+M3hdW951X4/uHw4TLj8Xe97+7Th8NDkaVft+exI +qJu46+DS+drSn8bfmo2/NWyc3Lbgqq//Klx71ffmX/O168M1r1v8oV89uzBU +gHe+OG5hmPX+wYvf/9aKvXHDVd+64aQKn8Z9bQitLX1/P3XV+nB4nLcz7BbX +0RmWjPn27M9s7wo1rf8583elrmye/mze/rD3+Ot2aho7HHpXX/TSAf1D4aaN +J39p48+Whpc+//R/HDm/Qq8vfeSG/96nImeOOftXyya1Zvsuh1MjHsphj7rq +PAPh4PZ3VuYdCF95bxVvW8JBL1fxuCXsvs81G7965/rw4MknbdjjsPUZXvvD +RyKe+8PZ8w569bFfXxJuC8sr57Q4PNNXXV85zJ/cWVlfOay8vbr+4XDbp6vr +Hw53TlhTOa814bAf3lY5rzXh/onNFfz3hEu3z63gvye8/k3Xf/lDQ3PCT/ac +e9jfvjY7THr68GM/dXJH2Ptjuxw5/HR72Cfud3Poi/vV942uLt993QsVemnJ ++HDCH5srdKjf89/7nM/97oBp+v2Iyb8/8cq9rtb3EG97zW/efsR4tQcmfvm8 +b/y8Zpbo+11/+pc37LGwXfT5mc9/u/vJ1fo9tI+uuOagU09eE67P+Hrb22sv +6R6LPq4LDzx489QfVPZD/ufMr8z72vKn9XuKu3Qfd+3b+/W7Ax/55Sc/eNFt +i8Vv6/vt3G82TdTf7Z53/AePuLak37e8/b5Qc9DuGg964NrrDjhhe19omDpU +obf6sMvbrqzQm/qJh33px5/7TqW//69v7Nx0qX6vZlU8r85wezwv9RsfjON1 +homXXNT0yK76/Zp0fsPhB/H81I+86ogXXvPas4fDuAM6H/nm5fo9m68t+cDY +x5ZPD0NLXxhf/spMwU9p/H6N3zh1Zhg7+ZjXnbiXfg+Ffu6jn/tW3Nlb4Zu2 +MO7Mt1b4SH8/se+QbwzVV+BD3zDukCvP1O+a0O+/g8J9iW4HMzrW75KsaHrX +Cb+rwJc9+crnn7td/RH6/XdOuO/PA5dW5FVDmPjAQxV5pd8l2S3SU0M4K9KB +2rv0cx/93HfStA9W+LY7XL3r5yp8rN8pSfTYndGR2sv0cx/93HfGwnEV+dAc +ShWhtWyS+verPn7p8nsfaA43vHb+9MWVtqXx2TlvqtBXko99mXxU/35+pMe+ +cE+km76wKNJRX7jjWyO/Pu6kRbm4xDNPnPZCc0UuluJznbm4xD6RXzszvszH +JZ6O/DUcLvvLp9Z9d5cF4fBLa8o7r9E88YMfOrj2cxX4y+uWHjd3nNYvTIp0 +2hmmRbrVeSdHeu0M4yO9al454XsoXBXxrXnkhNehDI/qjzIv62Be1sE8zMs8 +zMu4vm6CebArr7loj0eXfP8RyXMNPfKBS145X3+38+NHHPfkr3uXhp8ecP3z +zc+uELvwnDNa7jpod/2dKfywp3/0um1bJ6zP5OXG8MFFF/x56wTNn77vNTv9 +4u395fD3I2767QHTND963TmtHz5hu+Zd8ONOinJC85UX/va9ax/ZVfOVY548 +/5ymiVsye0LzIkNTr59w9Am35vKP9Kd1bw3vinaGtvQf3jl0zsHH3ZPLG457 +Ydmr7/nO/dLSD97AY+1eTy16ausTuTzih2oeefNzVzwpLf3gGbw/OTj7p3td +nc8rvn3ljFNqBlqkpR88g/euj33x/q/ts9HF+zaGw/c+6kdDk7Sln3PhnOZ8 ++Jh3HDFe84/4Cd9+x9EVutOWfs6Fczom2nH5POTf4rlrS/+3tk+e8OOGLeH8 +Ut+dn7xdz5VzfvMJ66994fDV7j3gleEr127q2nTpqvCaH3WsuPeBfJ0AdPrI +n18crP/oWvFDuH7863fe+5BVTeGSU2459MozN2R2wPrQdOiNr99j4QbBP/3c +l+hF8xnQccJDd9j0X+0VedQT3pv509A1dP5YtGfVH+T6K+K+e8MtXbMqcl/z +MZ9dO7PrydWaT6Sf+6B7+OCLEf/5fCH9L/2i5+pfXvlY2P9PD9/xxBumh6M3 +7P3LDb3zQ/uFP7z1wodKoe7GiRU7rS283D65Yre1ZXblpvDGm39ZsZs6w8HR +rhsMp0U7bzAsjnbkUGZXDok9sU/91L0OWaX2RLI/+sOkd371oldW7Mp0ntrS +/+moRxtycZz+qHcbMr2YzzfRn9ruXNxnVdSz3eHEKFfy+Sf6J5+106UHVuwL +/B3shfG7tYbP7DFd9mX3mY9Tlratqb+igj/2bfHA94NU3x8W7c3BcPKb33Zq +zYDmb5IdpHoy2eGN4XvRLm8M0zb33Pu1fTSf8Yloh/dkdnlPZj9p/uKFvav2 ++JowN9rja8JXoj3eEz4V7fGeMCGz62Zmdt75mb4dyOw89BJ6eXumh7kPO8/W +Oardh95Cb6OnuQ+7z3/HEDsQvYZeR4/butvmcNnpD18xNEntEPD5YMRXcy5P +Bt5nZPon2ftql4D/tA7NR9DPOZ3/XNXfWB/2P7DqbzRLS//ro//RH0ai/9En +Lf1jox2yOPw22iWLw36nVO2Mcnj5z1W7oxxe2r1qRwyHlvurdsWw2Adn3brn +d2of0vj+MxEvWs+2MtL/kNAxdM1zPs4AXV2e4RE9X5fFm56J+l7pHLpnXh+n +gA7BK3qeeFTiP+UD+IJ1s49zdv7dhQ/95GcTJqz+6Revf/dloTFO+O1cPdBH +dtt19rmnXi9xorOjXbQ17BbtoK25eHVDnGerPMc49HMfcgi5hFxBzhy2uv3A +qfc+Ln5g8hM1vpzoVuPL3Gef65DnuI/nJsXz0LhfwqfG9ZLfRxxslbTJX1uV +yZ98fDXxbZfIBeQEcgE5ccst39nt1vrZ4dxzf/3Mtw6ZJS3961ZW7fyO8Kvd +q3Z/u7T0H3lX1a4fDPtOqNr52tIP3cMH0D18AN3DB8mv1vjt+OhHr8vFYa+O ++FyX2ccax03yw+cXezN892V+09pcnJh5GZf+ZGf35uLGzMu49G8/bHbPayv6 +2Md/3zL5hoNHXnhI+IzzpoUO4Bsf34UukpzWeG6SuxrPTfo2H59dGPm6KdOn +vVlcRNtDI59qfBY+hE/gs2cPTHG4H2RxuVOzuNohWZxt5g9TnOymvVPc7Oid +P7/gVTWzwr4t339wXcU/p6X/qEeqfnB7eLG76hdrS3+ii4r8iHSiLf3fifGg +NeEDMR7UIC39u0c53BO2RLncLS394DH5aRovvTrKf/3+PnYpdiB24feyOOYH +ot2tv6u3dM2xP3zvtXdIS//50a7cmp3riLT0EzckjkjckDgi41i/piRxXPwU +/Bbit8R1sYPxS4jjEtfFz8DvIJ5LnBe7Fb+CuC5xXvwE/AbivMR9iXMS99yp +o2qXNoXZ0U7Vln7Wix1PXJQ4KXFQ4qLJju3N7Fpt6Wf92OHETYmjco6cK+fz +1+jnaEt/ihePZPFibenfeeDg7X1/eyjMuPoPpcmdD0hL/xeO/dirj/36vHDe +t6ZW5O5T0tJP3JY47o3fnVCRpxU6fcVdFXm6XOxG7EjiusR5N9y8vSKnN4Ub +jypV5PZGaekn7kscOK2/K/whrr9L7E7sUOLCxInrI943Z+egLf3EjYkjnxbn +25LNtyWzN7R+LdkL+fq1VRcvab7u60ukpR8/N+ltbf13z+6P+nBYWv/9RtZB +XJs4N+tgXcS5iXsT5ybuTZybuDdxbuLe6DHsVvQUdijy5svRfl0jedxkj2q9 +0VVRT1Ef15fpoX7JC50R7cD6MDHGmbTejTxR0pPlLM6kdW7fjesbzuKYw+F1 +Ue4PS3+ab1bYZcFRb3vuijrJbyf7vF3y10lfYfetCXfEePSaMDb6V7w3oHF3 +4pvks9I5dWf2jdZnEZe3ebbFss++lSku+dPdU5ySfbHPFVkccmoWl2Rf7BP8 +JnugWfBMP3Ex7Gfi7PZ9tb5wRrQP9FzoJw6GvUxcHn+SOH9d5q8R58f/Is6P +P0Ucn7g+cXri9sThicsTZyfuTpycuDlxbuLexKmJWxNnJu5MnIG4A3EF4gzE +EYgrEFcmzkzcmDjybp+955Uf3EXrm+6I+NP6pkuj/UKd7ZDIQeQicgs5RhyY +uDBxXuK+xHGJ6xInsHGDkqwLvhQ+jfhpDk9H/GgdV8rnQB++frVN4gzsi33C +58L3cX194cS4Pq0DS3Yp9DMg8Qda4hLgCbzN/vIbKyi4O5z7zI8v3z73Lsmz +knf93uxPV+ymlrD/ebtW7KgN0tJPXpU86x7xvAfC5vMurthV/dLSTx6VvOrT +Tx19+pIPXBYOHPzesz1XXFPBc8NLO115jcR1fxL1wtbw1agntoZJcd1bMztm +qzzHODzHODzHODzHOORdycOSVyXPSt6UPCpxK+JYxKGIS2Fv9V8+8y8PD2n9 +0Uei36L1R0nebpY8J3lP8pzkPRmHccl7kgdlXOYhD0pelHmYl7woedIpUf+3 +hrao//n+UmsWV2nN9Dd6XePCSe4MhO++54GK3b8qvDRn94ofsFpa+sHX5Jh/ +XZ3FmbQeKNlj3Zk9pi394Dfp2+4szuTrhVSPoBfQE89E/4vfV5id+Vtaj5XG +473eQcnTEichT0veVsbJxiVvm56vc3nhOTIP85LXJb9I3tjWvQ3Kusj7kj8k +r0zcAL2O3kOPo+fQ2+g18uDkxcmDkxcnD07cdNw39qrI8UVhe88VFbleLy39 +iV7qw9hXb3nXu69ZlNFXZ0ZfZWnpT+smj9UZSlGvDGd6Rlv6k7waDofEdQ6H +g7767kkXV+yM+0477qzPbpshdWKT7njpmsaDZmTnNjOcNfaCE3s+NUvu4znu +47n5Uf+0h9Oj/tHfszgpynWtO1sZ+UHv4zl/32FRbgyGXaIcoe5yMJPjWreW ++Efv4znu47mBaL+sCVdF+0Xr3FLcTuFEX3ofz/n7kr3Tndk7fK+jOzt3rZtL +9Ncj9/Ec9/Eceg69l+Jnqvewm7CX0FvosRT/Uz2GnYR9lPTN2nB+1Ddah0fc +JumX3ky/6HcBidPIc9k42NvEkXiOcbC/iRu1rjq4f/VFj4Sbb/3GbrfWPyot +/dgHd/Tf+HC1jqo0fuMfqnnXxI/Twin31MY8zLK7N8W8jMjZTO6i/7ELkLvI +4V2i39EW7ot+SJvIYeQy+h29j1xGTp9ZSnmccWenvE7Pmq0V/3FhmHbiqRX/ +cZG09Jce/Z+5v+7VOvtkB3Vmdp629Kc4kNbzHhDnGQ6nx3m1pb83ymX8reHQ ++vczKvp3RTjvVwsr+ldb+tETKQ+xIuwZ/cyuzO/Uln70wthIp13h69EPWxhu +j37ZgiwPtVDqG2mTflqQyR/kUmdmJ2j9I23SR52ZHzeU+XVDmT2P/NQ6ycQ3 +Q6Et2sFNWb3aWmnph74TH63N9Jrm4+uj3dwbNkc7Wlv6of/k9/ZmelDzkOwX +PIAX8AQeuI/9ggfwAp7AA/exb/AAXsATeAAvxPm/ncX9ieMT19812tn6+1gf +i/5JQ7bu1ZncWZv5I2szu7ksemZ7X6rrS/4LdTG9Gf32Znab6hn0BnoEvxY/ +Fz2AvMfPRc8j15Hz+L34wchp5DF+MH5xsgPXZXahtvQjl5HT+MXiJ0e7sS+z +I7WlH75OcZOFwreJXjqFL9O4Q+Hk6EevkLhh8pv/1/dBypP2euQo/Z2DXdbf +feGnd9HvGXzwqzeUnv1Aj7uu3y+wz5eCvV/htmx+/5y9v1Fg/HG/LsYFZlx7 +vVFgxkNOA9vviBXv087X7+brd/Pp+/7AzAvMvMCcAzB+IjDr+vnlX3/lm158 +WOBp1d3dPU/g7TuffdJ3liwNTePeffCvJj8k5/rS7Q/9+pNHzgse33ce89lV +V/xA4QU3r3u6/rXN//Q8o40D3N/+rX32mNoq8K7v+9uEUw/cJHDa5+Lw8Z7q +jXOlpZ9zRK7S0p/2VQ7nVZd5YYe09INH5KrYF1n/ivg3HPruev3myj9p6bfn +v1jOj/GJl3P/T3/+0n+evHxadv8swXtE44UrBT434nllOPT+n1b+tWbPt4ff +P1VF4EAYOmH2O68eGpRx/uPH75/We91Nso4E/16eO/lHi0750SLFx9HbL609 +beMGGef/fOa8D+1+iO53Yry/X8aHDxgf2PKDv2+W0Dfr4H0G5qV/3zP+/OYz +/vwrgW/+bfXvAVnvjQdVD/4uee6yuP5bBR6oYPVt+90v6+9oOuIda4+4XcY7 +Le5nlsBfrU735qdk/NbD5/7PhomPy3iPvqe/0jNb4FcfW53wSRn/53F9cwTP +4IXxf3D8ay45/jWLBP7LtX98/to/LpH56j56ZYUS6mX89+x368DWbywS+IvV +5oQlMt/uET863ryuDz/Z9eFVAieybJDxxyy8t/HGi1fLeOfOfKIy4yod/57q +Bhtk/FMiPlbL8/tXdrXnsWvl/pbITk0CXzAyfddrjlsnzzdU0f0Ovf/F4aog +UPq6+ZNHjl+zqUXu3x7xsaHw3Ec7t9HwPBqegK+KDNYk8MJTqhOuE1jOpyI1 +b3tB4VkVannrRRtlP2Oruz+iQ+jU05U/d39OHu+eT4GZ/+4oBzoF3vKN6gGX +ZT13xH3q9U9Eudkt8I+jHOqW+8d/vPqncCniobeQz0bjk9HoejS6HI3uRqOz +0c5tNDyOhjfgxa+tKqxegfesHNKkvfoEtnJI5caO+Vr50POV5xtPd/7cRztX +YOQ8sNdD52V6CPgXe1YPuEv0c3npdyt3dDt9PUv0nNVLs6Qlr01LP3zn9R55 +YfDq9SB5Xu5HLwmfZX/cz3X2zXX7fCnY+0vO/lN5j93H/cB2vEY3nsLYhcDo +Tb8uu99NuX2yTmDWYa83qjzK5hV5lc3r5Q12KLD9fetivLIeYIuXYVkPMOsB +tvbDsOwbmHUBsy5g8m7A2B/A0PUXo5xbIuea7MiFKpcj3OnWMSTPvy/K7YUC +71sVixsWit3l6RgYvvlrlGOdAn8pysFOscs8nQPT1kc5NCjxL+/f/PG0jWPn +f647vOpNL1YsfuVX4mHYu/M/V2VYtX8nVNXXW/ty9nDSm0NOjgw5/7DB+WGq +Z/eOcm+d84O6BSaeAbzPRVXBr/DtL1QRpnL3DVOrjkaf7OuJKOfVfyW/AvzK +qHefkryr93/ItwCfHvWU/n4Y/ew/iqtDhwvpALjonIGPyejQrnu5wEdEearz +Q//A0AF4sf6y3gcdnPnK6v/o+VZXv/1ShZn38Wi31Alc+0DV0FF5/bGoZ5oU +LzdefOfXPqP0PWmnx6pPyLiX1VYJUv3YZz5QvbFH1r30bVXDoUee/03U67rv +c5bMWT3u3Xq++2d1XVy/ONoJ5RwePd68XEAPdUW9drPAm+O6fi/jQd/sP53/ +BoHvjHp4g4svqN1w6oEX/PLMmn5nV/Q7utH9eL2b6KZL1veKB6vncZTMH9nr +zeudHaP8K/UEmbxDD8Mn9Isdmskt+d6C0w/ynlw2P364vd4r+2upcOfIdKXr +90e+0f0+H/mky8lb/V12+pnX+8PkiVkPdT9Wvyq+qS+y/K/0lobz8bAagXui +nf+g07M1At9S/e+kPwh8UzXsMv4xpwdrBD44HuA9An+m6uZc8qjT63MFbo9x +nSd0/orVPfOJ+c6+0vO0cq8CR37W662xWSZ4ETwZe+p/+Zt3VDek8JSK1T28 +s9oZ+0d6Vr+mbnV1wRoHgr6AD62qvedacnj0+/b78OuCDj0dS1zInTP4TvpJ +7eRdq+x8V1/unLATwG+SawudHdGp66m6QzMVxo7wegS4LcszQdcp/qXwoc+1 +vGrhvTXOvl4s+WreM4MPBqIDrHAUE2eoPcK6/O+Xib/UWBXsCl/xg6pgV9jz +ZV/UJxofa9hUFayKn5ejP/m/8FMN/12gcJGdARzZ7q0af4JO+S4J8JxIb6vC +R6OeasvZX9TRF/k174h+ZFdYHPWS7pfxa6Lff6PAV0Z+v8XFnWsETn7RYwJ/ +rKoOnrpb1rVf9OseFjzs+T/V+78v866qutGzHxE8vGNd9f4rnL01V+Ckv+YL +/OG4rydkvhOjfJkn891cZd+zp6ufXSWzxnmZnjklF3+FD4ETnWrc/fRox6q/ +9LvoBy9VeVHZ/c3r1N/6fOT/pXL/05FOVf60P121dNTfOiriU69Pqezuqzeo +f3VutBeac+tM/KP5gtdHO3L0fRTZucnv1fu/EvX8aoEnfqe6EL0f+nqgGjZ4 +ROEvxzjJBmcPtwg8Pq5L8wZPx7iF+sc3RHuh1cmr9vCKSFfX5egMGLoBfmOU +gzNzdAIMPoEbY7xiYe6cgb3d9PY4/8rcOQMjv4GxM4HxI4BtPL9D4InxHDSv +sneM02gcaHr0jzYJn3k+8HTq6dDTneinihV6z3s07m7PU+HDohzTPE/yb8rO +zys7uav6amVse3LjJnrrdHZ256jzFvllSZ7r/VcfVzVE9fpHqmbIbQpDf6z7 +lGhn/Cwnx2zcZK7Af4qCe2ZODtm4icbR3x/l6IKcHAGG/oC/H9G4IidHgL0d +2xH1QlNOrog+cHGqnaKftT7Hl9Yu7hD4vZH/23N0acdXOrgn6uPOQjrxfscn +o7zrytGRt9O9H+b9bGD0DnSIXPNxiBRXUPgt0Z9X/9/HIbxf2uP8Uh+nOCyL +U+DXsB7rr5GXWp/5d9NlPcm/ejwn9zwdjqY3vBz0dJnmvVv0Z9LLjwns89Ze +ThbRLXQp+It6ar3Ad8R46YYcXXL9qqi3VJ+UYhwhT5ejyRVPl0V+z2h+y6h+ +yf+j3yH+wPg1FYtU/YHWsVXKasvJax//hI+K/DTLD4szetG4caIXjafcGPVG +SeDZcZ31Lh6q9nlr9J91nftF/1nt2WTfdTr7tVPiod5eT3pX4ZQnQF7Ok3Un ++0bjA8m+eUrgZI+rvZ/oRJ+X34PE/4r5BY0nzIz71usvnXVSZQTNp8+M+lRh +8PWKatnBnNUCp/tWu3hQdy7uPSPet1ieOzLSg/q7HZEeNE5BXKkoLvXNLC4F +zHcywGvKayi8S/QrFR4X7Rv1b06PDtpQTp7J73Zl8Ka4rcdl3r1j3k3zQpw7 +55Ds2FlKP5FP2p3/q/4Netb6S4r/66NdpHU4yU/4lsBPR719V84OtfGS2pyd +4PMavg5htDwH6x0fybTN5SfaXX6ivTBvY+1X6pPy6/Z5I58X+mfzPj7PM1oe +xto35IuGXf1UjcAHxjjz/U4/ah2Qrwu6JcpVX681V/2XaMdpfYT1I4bDgfG8 +/yTwYJQ38118Wunr9phX1voH62cMhzNiHGCxwB+LfLUsF5fzcX/Gxw4EfibS +p9ZDWD9lOEyMcl3hw2Nado2LD64VeJ/If1ofYf2Y4XBZrFvQ62efU/3TvJfN +Ew2H26IfpfDkahr4ea2bQq4C7+bqqO6P/qXmzbA7gVOdhNYzPFgd/tpNbj1a +X5D0hcL9Ma7UlaMzTyf+nP05eDz6uKDPyzA/di5wihspfHmVXE7pydGlpyt/ +7v7c/Ll4PHo8+XVhXwPbvLXaC8l+XiRwsncXOf2lcbK6anrqJc1P8j0Vobe4 +f4WTHmK+4rgicfTR8iLAxB29nvH58qI4JHF6+ovyKsDEKb0ey9XLFMQtyQOM +lpfZcZ5D9aQ9v1m5uKStG5gl328BTnHjGYX9vj7CxzF9nR3fcwG+N+KxuB9Y +6lpcnNPX7fF9F1s3M+jw+M/f5+OpCQ8NAkdxOrOhsH/H+VuN3zZFM6Tb2W3d +//R9vh7V8sXiLH57s9AddCxw1KcbnFzw+XRfv6Jy9LxIUNcKPBLto9/k4izA +50f761KBr4n6+Q6Bh6K+e1Tgzujf3uPsFI0bejl+RtzuTIF3/1I1jj9bxrPx +5/5wSMTPdIEPinGZOQKHGHeZL/CV0b99IhcXAl890b+ekYtDsp7Lq+n/kQUC +r477WyTj2zhwf+iNcm2BwF+Pdrxe/1mMDywT+HXRf16ci0OxvgmRPxcU5gVG +y6sDsz+vJ0vV5b5ppcBviXV3q2R9Ni7dHz4S71sh8MMxrrRa4IG4jzUCPxjl +ZYOzK1UvXhX1ieZrr66Kybdp/v+j8bw1HoEelXhN1C9aFz8pymO9vlv0j7VO +flWURxqH83q5r2q+PNmYy7MU+SGj5WGK8ihFcaPR8izAPk4oeqNqXh6/3ukZ +tSvGVbfX1eaeVzvjgSjHOwvlxGh8OxrfjEZ3o9HBaHkO4JWubuTyrG4E2Mc1 +hd+iodD1b5OD/2459u+WO/9uPv9382lR3qooLglclNcC9nmdorilxCkL8j4S +VzZ6ROW2l3Nezni+9Xzq+dLTKTB5G+BUt6N2gY/z7OziXL6uizo/X49LHQF1 +Qt6epE4A/iLvj9zCfrV+G3GYfmff+vewit+T6jZ1M/qema/Ts9c1TmrHz79n +5eP+XC9674q4iH/fy8c5it5jI27h32vzcYai99qIG/j33IAnZHUxRe+tnZHV +Kfr32IrOrSguI/RYEGcBLoqLAI8W5yiKawCPFpcoikMI/xbEAYCL6nyAk/85 +IPDt0f9UGPvf1unk8zrJDnhIYB9XL4qbS94k48+iPMVNMX+g132cvSiOzj58 +nLooDl2Ux7B4aBI5kPLF+r7lz2K+WK+neiB9Xy/lj/U6dYzIqaK8h63v0ryg +rzPdntWZAo91dcW3ZXXFwNRN+vrCtC/159M+1B+5MtKd+tmpDlztt9OiHhwU +vNn4tvqztk5sk9g9Pv7Fe4aM5+t0kt17o+A1ivf91wic6E/PKdUB6HVftxKz +Vc8qjBwrqnt4OdLfeidvtU5gVcSfnsuJcT6Fx7m6ggeracQ1Ctv3Yhc7PeLf +a1gT1se6DfVnS/G9VJUz6D+RU47vUzsg8/m6v5Tf1nidr/uri3pE7YL0Xmlx +Hk7uK6A7YF9XW0SHwH/K6uTBA3Tp4zGpTk/p8r2xTo/fSWx2/K5wyeX9E53p +deZNde3d8j1my78Kr4z7zden27jjerGbgH1d1qJoJ+p1X6eV7ET1a4gzWvtC +62B8XczZsX5B4cmuTia1qpfOdHZfem+rX+ipKO86Wh6V8f5x3rE9934G9RvW +39S6EFuvgdxfoN/RzfBo82R8Hyj/frX8zkX2XJKD6kfwu2JcT/j39l6Py/tM +E7jRvff+61hn8Ni/LAft+wOafxlw77FfFf3gtn9ZzoFPvi8leHR4TXyhejPp +NV/nrH6Qx/sDUX76PITW7xPftPFAraeH32z8q06uUxdt4zVaFwh/ct3D0COw +r9+HH+34nW49+n5EoqdH3frV3+G7yzb+PMPZ0Wp3+PiTf7+B/dq8Vqdc/3k0 +NO6W63fE7yRoHTZ2elFe1+ax/3+/Z5d/j/qH0c7Wuk3/XnXyezWe59+jTXmC +4vdqU9sr/OLrqlJcTt/H8HU+N8V8dqvc7+vUk526QGBft57s1AWFehG4iE+B +x5o6uPWZ/ZmXn75O/qaqufK+4rr5KdUw2nmdolfFf834HjkQownj8u/3zY/n +pfZ/8pNUPnu7PdmHCo93dnws+1qj9LF71D8aN0r41HWlulI9/09Ev6PYL0v5 +TY1XeL8j6WOFJzs/JLW6vhSnUf2S6hFVTu8aW11feo9c7U9bd1DOxXP973fz +nM/r+jyutbeL7K7+QjuKPLLMl+WNma8oTwxs5afWrVBfhNzzdWxWLubr0iTf +b+I8ywT2dVg3RH93mZPPWof1odjq+1p8DxH4xZiPW+LiKGVnjyqc3pcs5+r0 +fJ1dUR1Zqp/R9aY8o9ZPTXd1aDvFON9iF9er3F9VEzuVnR5qdnSs39Oy+chO +OT/7e7ua/7X2tH5X0PujrIPnUlxFW/rPW73bxL+3KB1eO/H5e2Y83+3wVQ63 +nH7A5M/sQ73lrLD374Z+cdA1+t7BuwYu3vf671b0yNzfbhvu1fV85n1nXnr4 +fXl/gnmGdv+vo1Y87t8PXB9mH3ziQW+9T/mFdULnR39+/S6XTB0OP3z//i/8 +5sh6wavon2zcKdm6BS/ZcyI3s32wL8aZetO9TQdXzod9efyzz/8LnHZlMA== + + "], {{{ + EdgeForm[], + GrayLevel[8.673617379884035*^-19], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFUz1PVEEUvU9Ddt/bt+9JTUh2G4QEQ7FKQ0UECipDY3Y3a2EBJBCgIfwB +Co1Qac+HfDdGPlR+hNVutcYYC7IsH1a2EM/hXGIxmZkz994559yZ4uv5ibkH +ZvYS4yFGb9bsWWDWxvpbYlbuMDvFfBqZ/QnN+nDejXGB8xTjb8ZsMNCeeJ+f +7SL2TQ51kf8T+8fAG5jLWd3B+keoeY64AvY9GAHWv0w537G/Qd0q5t8YS37H +eaB7H+XNXmDd7zPrYbJl8kedefAaic1WIepV+j9uCFg5L86DWFd8TWwHeSvg +3BOKb9E5U8deKF5NzJ9y0v0Z83toKAE7TMX3JFE+fVvyPfHjRDp4Rnw7lpYN +4OsYbax3gH1AvUPUfRrqDuonP/pacW/XEHOGmFHEzGXkKfUzh2ti957WTf2s +uz/0ddm9vc1KJ/tzEYgP6zOPfai73/SQnpMr95uJenjpb4W8yJW59L3kvL4k +8uwolWc11/QE/Psj8Sj6e6LPrUB51PIW8d058aU3Le/xO2D77i/zeR+13L0B +j7l7j67lGrFXofg+j+V9E3x2Y8VU0fcfqerxvX9MhPO8jbzjSBy7ELcIfBj4 +TF51WI/3kzP5TSN2LCdfD0JxZd1J4FMYN8C3YsXWcOc4zmcjvfuG/5/U+1Xw +3i26Nvau6v+A+r66t/S47TmMYV3WXwM+gPqVSO+OvSp4v/jO6FUndCxkpIE5 +nBfcT/6hkv+jf/8VkXE= + "]], + PolygonBox[CompressedData[" +1:eJwtkr0vQ2EUxk99xH1ve9taSRNdlERj8LGIkYRJLNI2DAYkpAzEP2CRMLFX +fJaJtkL/CBtLRcSk9TVZid/JMTy5zznPec953nPf5PzqdL5JRFKgBczFRHab +ReohkZOIyLACvgmWA5FCVOQV3gAH8D5fpBwWGXIiW55IlvgU3g1ePNOuwICz +msOo9X4DR/AqyLSKnKNdx0Uuqd2nxyBxvk1kz7eccu1RIV7gm6B3ElQ4/0Ov +NfQ05zvQ+8M2OweK5M6on2HGDbWjaGVqutDeQR1tXf16lvuCP6Bn4b2ezar6 +xnXmh7MeerYHjMNv0VPwXzDrzIPO/sZTCf2eOOPZnRbhY+Se2PWPZ7MniUP/ +HlbQJ4ifxXLau+HsrjpDe306m609E9Smfdv9ne47ZnfVnZTg7YH9qykQh49E +jG+AzsC8LPnmXT3p3WvOvOsOcoH9K30D2cC8FfQOzjzqznX3+iaO6V2L2VvR +f/oI36H+wlmsb6IItsPmVX3+Af0mVco= + "]]}]}, { + EdgeForm[], + GrayLevel[0.1298745935818285], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNlkts1FUUxm879jHzn//MFKgJIiiPCiImJhoh9IF16SNIR8FQ7IJENySK +RS1swLoiwMJEKTVRMTw2sDBBI4kUIwsfCZAYHgssoLBpiYDWRI3iwu/Hd4wu +7tw755577jnf+c65/7nrX+l7uTGl9JtGQeOIfrZrTNc43JLSIY15GvUGzzek +c0l780OGDuufJF/XmtIDrdZ5spbSKu3fk6f0Z9X7r0m2UmO25EerPnc47O9p +TumE5hHN49pbr/l7zXXd1SH5TDn5WJPXc5Ln+0J+Vno7NX9XTumC7j/TajvY +XxC+LdT/xeFbTzGla5J/qVHQekzySa2XNVg2p8HrA3ekdF367ZWU+vT/lO45 +otErW59obpNvy+XTBLiV7cs+yRc0e29VYMbd3LtfdlZIf5/mniavJyX/ocn/ +N0u/U3NX2LyZHDPx4tdk+AZWxAeO+/FHOgdks1d3tmvcLflSjVkagvt2rJMR +74Bivdrq9Xs684jOjmo+JRxOZs5BVesb6CmeLZETYjgv+aXM9g6WUvpZ67Xc +rfVNrZ/Xelw6Axq3pHNS8+XMeA/JkWOyuVXzlP7/UjRXRpsdD7E8qL3nZONT ++fO3zr0unU7pDEq2qcl4XpFPS1qNzRsN3oO/L4ln5xV7PTf2g6FPztdF3m9K +PtVofLB7IniHvRfCJneeyrxPbB/HGfBAj/t3tXifs7cC02WRF+KBi7v0/y7N +s5PzQx7h0gzZ6468dzSbK/h5UfLxguX4j5zcMQ+1eA1e5JVYNrf4PLy8LnlJ +fu9oNH6Xm8yjaQXbgkvftNpvfIN3V8KHtqLzTa6xUQs7xN0Wcvj4Y3ASHoEz +PISvxEKM1Aa+vFu1n9fDV+qc3O6p+iy1xvl50Vvg1UTBuSEvcI36RX41cAdz +cnU56pr5QqzrZWPdrbw/UTHmb+XGnP4A7tz5bdy7qNn30hPGqubQ42XH0ROY +oLMlfEN3UfB/QcVxPyz91U3Gmhrb2+j/rOERnIBL3I8fMyMvnaHzUcWY7tW8 +p+C6wQbxXgl+Li6bL/fm7jGdgX89eP5sbj/w58XcdtGDJ8TRHf0ELBcHnvRf +4r6/bDyOBSYjEe/s6HlwGbvwDp6RV7jGGj7Sk2cGx+uhhw45pG9TLxty5/XR +snvSeOR3S+DJXcgmQn4tevFk9Gx6N+8MPL0YdXEo3gtieEg12l9yL5sK7LBD +P4Pr8HxuxfF0VMxpMAanHp0by8yL05qXZObU/NDn3BrpLMzMs4Hol8ui1rD1 +bx0ujR77tXw/nrnGzlbcr85UjFV/wT18m/a7Ssa9PeT0g906u63kmmsPGfEe +LPttGKiaT7fvj/cX3MF8tGo8RzQPy/4HRce/LrfenRXXAOc5y/4XmXW4qzd8 +o6+fi3dxR+b+vjZqqCPq6JhkvxbdB6eiR4A7OaDHg9Gu6Kng/zlvRNH8K9Tc +G5+pxVslewc1Dxf8zcH3xmi8R+cUy6zc3yGdwmC7bGzI3JuoF/JIDtjfqbGy +wdh/VfT9fAdw/yrdVct9R1vuHjYc/XAkcPtL8ztV8/up2n93YP9A2XXLu0Qd +gt+8ir9p6NldZfu9PXx4W2e3lnx+bW7e9ufOFVy5XZsV54X8UOu9wX9m/pOL +aWGPdw0e8ZbRpzbyxmbuy3AEblGDb0q2t2jsZoSMnoxv0yLe4cB4IuxPjzu6 +4wz648E/uNcfa/zhu+B00T24P+7lzCbFuibz+0E9rSi5pj5ToBP6/37N7w/3 +EQv9if/gMBhr5PRufP5dc5/ObSz5LdodeSE/YAOH8QeMX82M84dFx0/sf+Tu +S3yLwdl6+N9dcu1Rd0Px3YoPDZm/Xei/9Lah6G/02uXRq+f/7/uXGh3MzPuL +mp/O3LPORL0fr/rt7Yp+fSt6Bn7zzbg6+nxf1AI1Qf/YEX3pH+9taZU= + "]], + PolygonBox[CompressedData[" +1:eJw1lDlMFQEQhgefwDt4u49CoxBNRIiKFBbGBnyEaIdGeR6gHAWJWpAoSqJW +JlgRobCQQIciqJ0RxQs0sfBIhEZAoyAejTEiiIXGo/D7M7H4szM7/849u6b5 +WOboEjOrBktBU2j2LtvsdJbZ9jyzK+A9egW4GJgtB28jZhnsy5B3pMxKcsxq +0KuRr8L/ALcSXMbeFzNrT5g9jZpt5t1N/FfB7yPobeyv4mbTcP7kmjXCWYDb +jX6dGAfh34Kzj+d+MIxcgH0r34zAfQZeIi/C34jcADYQ/wt1FONvBfkcSOIf +XzPyh5wP2iNek2qrAp3oHaAQ22N8/SVGOb668FGf9G9Vk2qrw9ZGzBBePmik +ntlsz3EA+yz2Kd5/5ts0z0vknM72ng5i74G/il6tpwe9yMPkeC7htd6DOxl6 +nzrpzwTybuy9Of7NLuS+wGehmIr9ALQhn8Q+inyWfAv4tgt9D/Fq8Z0GX6Oe +cyu5d/BMgTg4ga014bWo52dS3tsKeDeQv/H+CJiLeo+L4N7HVor8AnyP+Qw1 +uzJwHHsWqCOnHvyNIY/BeZTrPS0jv6GIzyCFfAisJtcp9MPICzGfqWapGE3o +hehNUd+RIuqfY74DLOvawHPLJLwW5TjOcxx9NuoxJ9Fn0CP/Z4I8Evdc1ZPf +oc9CO/Mr9Fib4HyMesx69Ocxn6Xelef5rqgG1aKZaXaL9Pwu8p3Aa5/HxzX6 +tzfptamnp9D7ibESbpXuA7k/8FvRjmhX3vCumXzm+WYbsSry/LY044nAYyiW +ONNwHxLnScx3VTe2LuEz0mxeg8HAY6lnpfhqwXY+5rPRDlTG/aZ0S6PgQui3 +rZvuDv2GdEu6+TS+dmqf4s5VT7fg81PEb0y3ppyVu961oP9I+i6q5p9Jv2Hd +sv4BQ/ivSfmua8czyGX4r4177pqh/hH6V6in6m1J4LPXzhQj/wMxa6Xt + "]], + PolygonBox[{{4252, 3047, 2462, 1332, 3737}}]}]}, { + EdgeForm[], + GrayLevel[0.2204078728623319], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNl1lsVVUUhs+9t5f23N57ztVE5clqqa0oxBEHQBMnfNAIKpaoSQu0dYrD +gwZaLEMcEieI0FbAIaEOVH0w8KAWojE+CIqJmmAMD/ig+OCAoAWco/6f/yL4 +cLL32Wfttdde61//WufUxffdcG8xSZLrCklS0jjSlCRXTkqSMS2uakyS5/S0 +6Nv8SpKc1JwkayR0QT1JXtb6ubUk+a2aJBOSvUzzBdrXrmeX3vv1jBets6J9 +E9q/RronS26OFps1npxa/wrJ/VyyzuU6a7+eFzT/WuMpBev/SXq2S2Zbg3Tq +/ZwsSQ5p/F3nP5naPmzDDuTP1vcpWvtOz3Kde5neF+j7ZI19jdY/IZ2n6Xub +nhWS2VewTs58WDr/0vpqrXdrz2daP6CzcumYoWe69j6re41L7u5ykszT/F7J +N+m9W9+v0jOr4HFOzPs0duhZVvT6lSX79rV4Z356yLRI/+ai35mzxvxBrW3Q +Wafo+Uy2PV20v4+TzFjJds6XnkcUo+81PyKbP5L9d8nGDzX+Kv/0y4e/aNwz +yfNpiceBmG8q+o6DGmdKV7HJPtkin20Nv83MfKcLpX9Ho8/mXGL+VMlxv6hq +GWQfqDnG92ssRryJ9Se59/4o2eP17UetnSn5bdK5V+eubHQ8Xy0ZA4/WPT8o ++aWaf8G5Nft9qp4D2n+J9s1OrYOYz9X8oPZ+IJ99mfo+3H2lnvdLjv3VWu/S +vNDgtTMlv6jB+sHhAcn0xvv5OnedbNpdNT7A3Q+Saa85ljWNnVp7r8Hxwd7v +A8PI7dP84oKxTw6wp6g9OO2H3D7fEn7uC5/36rkiM/4LVb8jg05swjby5puS +7cbm22p+76v5zA0ln7u+br+QExv1zBA2ntfagGTWlpy7s3Wvg5ETa/W+LvDw +pzA+WvEe/PVtyTFbL9++nRpnC7Xv77B/nd4Lep9SNP579bSXfPdVkfvE+OfE +MTpB9qyX/SdqfEe+uEYxelfj3Lq5aZ7G3/W+TOt/5PZrW/gWv+CfTDJt2r9Z +89Myc9nm8PmQ7GnVfKRg3WAVzIIn4nRW5hghi03gEnzOyuyTfcFJcBE8BIY5 +Z7TovOG+3HUYmUZjkPtx55sKzmXGzpgP6VtP6DpDZ12u/a9k9jf6BiMm48Gp +ZcksI8bwW2qswyNwHH7fH7o5A3/eWDWmHxIGRuWXjYrT6xrn181bu+CEzH75 +TeNjdWNypO77d4YezgTz6D2S+Z6/RKzgH3C+W/Hokk8/z81DyMIJ5ALf4b05 +wY1gHq6dCL69RucNyf5r68bF9vAbsc2Db4f1vrPRPvu8anvIxR2xTv4w7ggZ +4rYj1odiHXu2hX749tbUPMPaIvmmXHGc98LjqXHcEZg9Grv24LrBsA0sga9K +5Fda8hz5S0J3S+HYt6N+TUOGWL/S4HhPyTxvzYzTibKxNDNwB845sy0wvDV4 +AD6Az1oDe9jNHnJwMGTh9ptzY3hU/rtL8yPSv04+nJY5l++uuQ5vD37Gxs7I +BXgR3XBjMbAPz/fHnBp0aWbem1x3je2LOr4l7MF+MAIX7QufpeE36mZX1MVF +TeZp9hyuOs+paeTZN8HJZ9XMH59SC7S2pORcqtVtf1XjW6m5CV5aHLX1vxqq +9Ucq5s07NB9oNscPsNbs3NqpcWPFtQS+ArMtke+3lm3LG/r+T7NxNK7zDmu+ +qe5aRH5Rj7al7hV4Zx/2s3de6toEF7/JGc3e90TkILlIzQdb2Nyj7/06r1Xf +vsrNu9RMYkvciW93k/mLeLEGJliHQx4om0fo76ZOsl7iCV8RU/wx2GyfzAj+ +Ie+oSQS6oLMWpq6jxAYO7gx/bqoaV+Bra8Qd7KEnj9qBvtHQeahsbGPj7sy2 +zZaO4bpjSmzhFfpJ6hI1uitqzX+4i55npNG8AO/zHd+AH2oyNeooxrgruQZf +LYge9b4G9yFgeVLF+U/ug9v9kTsv6T7nSf7F3DrwG/e9JXdsx3M/zG+su4dC +npr5YfRdX+e2B1uIzUjuew3njs+eiBH1Fj34EV4GLx9n0ceVnfPkJ3l6T83v +vdED4FdyAt+urhtbG6I/4i5825Db/vW5+7090f/cnjsWJ1ctR+zQg/7DZeML +3oNvqQX4biD8f2dumZaqeXR69GzUk0MR377gJ3SujZo2LfiE+4NB9rAX3OLD +tSEDzi6N/nMgaiDnksud0UuD+cHAPbKzQx57yS1sBhNwMfm7JOoRetCxODAM +hsAS2CIvqUPsxa7usA1eXRS8NN5krkMHtYscw0Zw2P2//r87OO1bcrdiW5vj +P6ij5rOI14roHeGZx6MOzo11MN8f/1PgpCl63Wpw3Xnad1LmOk2PQP1dFj1H +R9wRX9HntqbHereusJO+gzqE38n/NdFLMC6POVjmn4Mc5A6rw+esrYh1eH0s +ei320JNMRO0eCt8ujT4Qexj7Yt4R8/b43hN19gbd8Rnpub7u2C0N+aNyyPTG +Onu2R29JrNdELpAT5NDh8rG8aQsuWhj/d/znrYq+g7hTw4jv1KrtH/lfjzEc +810N7q/gz7HgVnjiHcX5UGrs8I9Kr7M39/2xEez1RF8yP/zGHceil1oSd+yJ +uoY8fAvmwNu/AyD/qw== + "]], + PolygonBox[CompressedData[" +1:eJwllUtoVVcUhve96Y33nJxz7p20OvIRHyU+qDVUBR8DKy1UodEIAS018dFq +8DGoWKNpBkoH9UWNibliB75tJwWFVi2W0oEKIipGRCEdVB1EwZRGo7YV6/fz +DxbnX3vt9dr7X/uMWbFx8YZ8CKEVeQM5UAphGwt11SFUwGOyEA6jn8A4FnwT +OYe+qRBCL/hMEkIbti3I85T1MvZiCFvx/wf/q0gTuAf7m+yfwf5ZuRA+qAph +BPt7Ss41HzkLvo69g/gNUQh7iVXB5z76e+Q7CF7E2gHiV/C/wd7vyrYdiUP4 +GXyUGPXVrkm1KaZid+PzMfbZiWvfh/8o8s8i5ilwQPLoz1L38jv6nNQ5lOtT +YvQSq4oYp/KuYTH4OP778s55DPv/NSFMRPqwL6OHRmK0EO8BMT4Df4J8y/7f +WJuL72lirGHfAPs7wGvBDfgX+f7FWiH2mvBsZAQ+TcTqJMYtaqvNfDedrI0m +dhc1TKj2mevsG4k5wHmvo+cl4P2steW9pxs8RIxH6N/j/zX2L4jxN3gjMR+D +D5L/EvWcH0Z+6pjKnm7weezvk7sdW4zspbZVrI0Gj8enA/0G8hK8S3dJzD3o +L/DZTy3d1LQefEixI9dXx/cZa53gLtUMrsV/R2TfduTfkrkljoqrqu3H2Get +Gv/gexF9LnvzyK2S704cEpdakK3iDnozeDj+/8XmkGpsx78/dq7lyCB4LPJV +0T02lM0lcUBcWIF/m/bgN7/Kd6i7vA3+UnuRkZE53SU+l81t3WEPOCv7LH9B +T8F3iNWH/RW9NBNnPXfQX+WZmZm4t+rYXFCPbeSvRD575X0SuQfVPgXpJOZQ +wXf8FP9x+Pbj82HkO3oYO6dyqceF4kjRHBFX6hJzVTOt2V6O3132txRdozgn +7s0jx0T2bsZ+ucZcmVN0rpVIbeScfcR8Quz79HM4MQfEhaf4r8U2KjFWza0l +c0BcGET/HH2N/Avm0HNs89i/m/wLuOML2IrouaI5NIT915JterP0dmnmNfvq +cQH95FLPvjgtbk9DPz7MM7AJ/A1rP+R9hzvBq1PP8jLi15PrncyzM8ieF+iT +0B/nfGeTwUcS96oZXEotJzKfld4MvR0jE/emntSb3hy9PTnOvDHxWTdH5rLO +/Cy4UuPZai34rbkQ+6715twreV01/AneEpuj4qbu4O3Ub696mgDegP2nyLOn +N2dq5l50R+9m7lG9nqSecegDiWdHb+Y14o/PbNM/Qv+K3sRvk2ZsOPqqGnNC +XNCMbE/d2xXkI+xvZf436E3U27gk9ezozdTbWZ96NnQn0zn/1xpy6Eo= + "]], + + PolygonBox[{{3787, 1388, 2488, 2969, 4257}, {4256, 3060, 2486, + 1386, 3785}}]}]}, { + EdgeForm[], + GrayLevel[0.3109411521428353], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmFuMltUVhj/m9P8z8x8+1KbYJrV4UVohFRUFhKZia4rMcNEDBZo2qaig +rcPU9JRwMmkrrU2KRRQ59AIaARlIpBcw2DSglIvCJFqFioonYCBpUgcjByne +9H36vsSLb9b+91577bXX4V1rz9gF/d9a3FIUxfpRRdEq+iX9mafxlzWe1KF5 +fZc13iq6Rd9XtHa6XhT3txXFsOguzT3HfGHeDeE/XPEa/OfE+7bGMzXfK/mv +avxyi+mRjE+3eTwseiH8txem72Q8XbKu13e+8Dkbc9Yy6XFZcs/Wzcsezvy5 +fn+o+bsaRfGu5nZ0WHZvZ1Gsq1rGr8XTorlzohfEN1XyqrWiWKS1X2nvx9Jt +suht+l7RuDf3HSs9PmpYrweaRbFG+6+RnLWi59usBzq8J3pC3/TCuu/rsP7Q +/R3e81DDey42PMdaj3jK0rRRs62x+RnRttJ3nyf6PZ39ZntRbBbPG+0eX9Se +RRX/ZvyMeG4V/7NN2wBbTNN8n867KJmXGvbVX/T9LfdFb+6MP/DTS5p/vd3z +3IV978ae7NuVGNjRpbluyRZvj/bv1vws0S9I7y2i40T3dHj+qsKU389rbTBj +5pGLrndrvF1rP263L3bGj+jPeIx8+armb2h17BK3y3X3ZRXPzek0D/zENTxz +R3nu2uxdqrnx2btZuv9Ad3iAu4lO6nKsPFqa/4LsPFd0d/Yc0Nq4in3D7xsi +Z674d0r2W+L/jsZPi+/bpWPiG4XjbKp4p+g7Ir67OsyzQ+N/VS0XmV+ten1s +YocY6kn8oxdn3FF1rrJ2X2kfnq45Bw9VHK/c8bpO67hGX13jR1ocF5OSRzXF +x2bZuRS9UesjFef8uND/ime01p4Rz6eatuf8YAXrW8MD3ZbxKvl7tO7xRN02 +3xnfba54TE6trXgPWLFH4/XiX6dvUOO9+paLp0X7/6q5aQ3f94Pc+WCr4xU/ +/r70HR8rfb9TVd/xNfl0o/w4Q3MvVm1fbHtUNtogOqbh+AZDxkq3/+huD0v2 +SNM2fi12viT+58R/Y8MxDbZcLf6u0jnQJ3pvh/OOHCF/yBnynfzG9/h9qe60 +JPfi/KUZ97d6fnHiiBgmXsG9hRXncr10njRKxw72P1fYNnvbjKVgLGPyaJXu +/Ycu+xPZgzmLMeeuC1ahH1g2RXf8t/b31Y3J5P/nk2urK/bXwlbnGDoSL9wL +bN8b+egNNoAR04IVFyKfeyzKXbATY2xETMFDvi+LHOxxrOKYQE/02iN6OThA +DIEFm0vjzZD8sqni+VeCV5yH/eu61yzRJ3WvoeQ8cUtsfzH5+yfZ6Zhi5U7Z +qkffxM5P1qHE82dK0/E12/hg7Px1na3jipaa431TdFgheqDNNn9M8n+nb4Lk +LhNd3O1cnFhazijp9kKnMQj82a/xn7sTf6KPd1kn7ox8bEXs4xfinxwil8j/ +Z8X/W/GP7zQ2M09+gSPgybn4a3ni4Uyb/Y2v72s6D5ZLnz8mf8ljcm598GKf +eGaLHmi6/uHbz+nu1dK5f7/oj5r2/3U1xwixAvZtaxpvJtQs69bUu6dSQ9ck +1/s7bONTTdtjWPTq4A84dL5mfH+idA0H18emzk6KTHKa3CZPf1Z3nbm57th7 +PXl6T9Prv9B8IxgIFpLf5Dl+7Wta97rok6VrwFOlYxZ9iP9m07Rbel3TtH9q +Gr+k8XzwROOfUOti/783XTP3N237+emFFjWdj/QFDzadP9Rq+oiTqb/0SqeT +7/hwRfxIrDEmR3e1mR+MfFq6zqfvEX2xaR2Ga/YBvpij+ffBfY0v1Y3t6Iqe +YCFj1qAP5w7IRSdikBjFR+DkrqpxED3pR6ht5Htf+gn88Xx6KeRDZ6d/oFb1 +Zkx9PCq+C4V9i4/Rgbp0NvE8QXYZoPaS+zWf+xZ+UOzf3G28/7DuuCCuqVMj +2TtAnkQ+vQmYADZsTB/LXegBkT9wZRx+cJe9YMh304/Rl3264fp1pOa+jRjc +onNPBcPIr2PBXrC/WbrnG116fX146IP+WXG8Pqh7zOl2Tbut9Pwtddf2w7kL ++AeW0D8g+1jOIx42BH/2ZJ7fYMLh9Ab4h334aDi1ib09iX9y483o0pbxGxWv +YYd5qUHbq/YX+AKuLwy296ZfhgeZ1KcrvV9PxtvTa7N/X/picHuAnihyj1e8 +Bz2o7QtS3w8lHv5RcewSI7+pe24k899XPNzU7X1r8zYBJ2d2ui8Yib7T8774 +Zd4OvCHo9RamJmOnR2Irzm+veg81aSjxhF2wD7ixNb03PfjZ9GP4697gJHiJ +PXqCU2AHGHKV+PvTV9BfgCPgyeN1nzGU2Fsj3W/vsv3ITXzB/Vdqvr3btjvR +9HvmZNN1i/q1oDQ2gBHkKTiLHuDJ0tJ5s0T0g/RC9EQvBPPB/hV5c/H2mp2c +JadXp6+jHoFRvB3I+ZG64wisxV7Y7frEztzo3BcbkKvUHOonNfv9uuPup3X3 +Rn3p4bl3R7fvfm3pOv3Z0rYnRtlzPGN8Aj2eOEankxXnGjIZ94Weyjx0OLlA +nuA74pgYPB6ZhxJfzC8JP/KGI4fxKun0TfnjZdn+TGoZNQ0b3Bk7EFMLEks3 +NeyXiaIbtfcW/Ci6Kn3DmvSG/XnzPJo3LG/ZGVW/GdCnR7yzuvyWoHciRsEv +zrwj56L7jPBvSw9PXuCHniv9rWQc7faet/PmI0YfKo3T1DH80Zf+mTMuJxfG +SKeV9Og15/DHwU/07o8f6elWRj/uTf2YHvufjA3ppclL4qEqfSpdvidzYAXz +bdJxoMtvRXqHg+mJOWdxzqKPo4eiDiCbOEBvej7sgD2oG3d3OQcGW10bhvKW +oyacbqbeps7+sOH+6Z6G313Yb7Fs85FkTO76BMO2p55hy84u2xM8wZ/4n76Q +ukOP9bWG9ac3HAwmcw9qNnl2tul+jP7u//+jabENh2JjahV23qVz3ul0rNEX +b0rPTC9AbViYs4k7MA3s5l0BVkOnRs7yvMWIO3J8cv4fwv8DwHj8A/4PBKtZ +Y25WauWUyCEm+M2Yt+ju4Cq6D0Z/MKM3WMA6uYOe2Kc3NjrUsJ83le5B3ksf +Qkxsz5sZPabmfQ2+g/P4l7fQzGA+77mDeT+SJz3p+bHT6LxHwMkT6aNW130n +3hP/A6wdrk4= + "]], + PolygonBox[CompressedData[" +1:eJwtlW1ollUYx4/PnNtzP89938dZNAsyP1jBhGmZlhK1SpquPvSybBFUUzPN +bURRlNSHUNNALV9Ssw8umrNNan1oagTTEWUFGZlGEkHFBhJuUm6+9KXfn78f +Lu7/uV7+5zrXuc51T2/teLi9EEJ4FZmIXF8OYT7f8yxW5CG8mFp/uCKEl8Df +ZSH0ErCzOoRHYwjfJCEkyN2s70G2omsuhrCAmFXEbyVmMgSLWb8LnovvBaQH +34+RqsQ64buQ8cx734H/GHha2Vzj6FbCNwzHcvDNVSFMZa9K7Ddg343uGvy3 +wNVbCqFrUgizyKMOXQ+2N8m/htiLmbl0xgvgD/E9gt9z+J9i/zOsTyEN6BqR +T9ijEc6j2NaA/4WjQPx04v8Bl9H1E3sQScGPRNdmIetD5DuH2IGiuXchXeia +iL0N+z7we3BcBd8A65zYSew9EXm+kpqQ84myz9bPeedg/wXb13A2qN7wXhdd +i0twXgveg+0kPseqfIbZ4NPoWvH/C/m96DvTXVUiQ+RwoODzD4P/RjrAX7Bn +IXUtN+NfX3RN3wJ3o9sNrkM3iv9h4l9gfQ68Ct3+km3n4G8GP5l47xTdajh7 +Cr6TmdR/Qea9jqM7y1mbOcNlzrIHvsfArdFn62a9FPxa9F2oB4bgWgT3DPY4 +WW19O/Yv4foM/w5wPfyf4vsTulH4F+M/jn8TuQwqJ3K+H/5O6p2B5+Pfj/8Z +an87/hOQGuxfobsXWw0+jaw/wn8K+DdkKXv1wXUJ37XkVB/cI+t0VnLoZc82 +/DvBr6funcvwvwGekJpbNVfti4lrqNrpTTXIXuEzXIT/8eja6M6WgFPsa7B3 +ITeC9+fuLdWwG/wUOQ8RO4w8DV5LTG3Rb/Q8fGPI1KJ1sukOdBctcPxA/HHW +D2H7HP56+OeR33rWvdV+w1l076tGqlU7tV1Z8l1vuxKj2CWst+NbYn2Q9Xqk +FtxAToPk1oJ9J/ZOOE5Tq1+RFvafHP029GZidI1V6z5iZhO7KfGb1VtVj+6N +fjs96A9F37nuXmdcxzrmvmvdYQ7ehO7ZCp9xM3h76lmlN7kDvAFdHfZp2N8G +j5RdG9VUtT2G/Ffwnt+Cr87dG4vEAV4e3bvqyWXgW+H8scozQ7Pjmcx3oxmm +WdYW3bt3sl4Nbkvdi3ozeju7omulnJX7Lalnszjnst4RXWvlrNw1gzSLVNMn +cs8QzZL32fNn9tuSOlfN6HfALyNTNNuIfwU8mrpXpRtJ/XYOlDxb9YbGNB+u +3LV6fGHmWGC4L/Ps6Us8azSDZmW+O/W0enuD/gdwPADHzKJn1weJZ5tm2E2p +e1s9o94ZyF2bBznTEfC8sntJb1Zvd2P0XelN6G1o5mv2r8D/j9yza2PivTTD +RnLPLr3Zs7lzGUs8q5XT95nPpX+e/n1/5ubSnevuazPXUj2sXlbPqnc1E/aW +PZuaEs8azajB3LlrZh7NPcurE//7NNMr8d9W9OzXG/sfFVUE7A== + "]], + PolygonBox[{{4068, 1640, 2653, 2867, 4251}}]}]}, { + EdgeForm[], + GrayLevel[0.40147443142333866`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmG2QlXUZxp895zlnz9lznvM8LuCMsrwty1szKRZBfQiakd38YGZNqAGx +jaCkyUsyooHSpC1aDQUKzBSWLsurYs1U1AwEaAHjF+1t6pv1RbYPaywgaBZo +16/rZvzw3//L83+5X677uu+zU+5e88XVpSRJ1rYlSVl9SX9urybJUS1uSLWm +Nl7j1Znm2tPbTJI3a0lyj9qI1he3+ftsnR3UeLbGd2i8WPs26uz0IkkWaH2q +2q1ar+nc3or33ad3HtV7lzWe3JEkw2ob9P3veZJ8VXuOt5JkRbzzvs7O1x3f +VOtRG1C7rLPdWu/TPT/Svpe07xup18dqfZNk/q/Gj6nvLHnMuYc1f1vj9ep3 +av0ttc+0Wecjaks0/knIxZsjsQcZ9mg+R+Mvazxb8t6o9pTe/pL0Xa+3e6Tv +cMX3V7Rvq2RL1atLVun7vWrv645tVX9Hzn/Uk+QLHbZFj2QaVL9Q9zzYLn3U +zmv/IZ07pv3nNB5tc/9u4rfZ9wG+qflubJ3pvqbawlgbjfX3tDaq9qTWd+nO +Z0rW54LefUjzt9W/pn6c2sdLtuWVsPNQm9fu0vg/0nG32k2a13VXp/Z/TOPd +be7vTOzLvpp9drJqvy3W+n759YLGB2WztrJxBoa4CwwtSoyd7bq/rv457VlX +9V7WOlKvT1B7IvV+cHJ93b56QLb7hear1K9Ve0x7DjeN5e/p/Ba9cbFs3+CX +We2270q1r2TGwqe0f16792zSfH67fTYQMUAsvJE7Ds7UPE91/umqbYWdwAq2 +wr7/TowZ/DG+bFtgA3x7JTE2H6/4/jsK43lRYfvzLjgBX9+v+J0/q81IfSf2 +QMf5Gh8vGReMv5XZd7dJ3lOp9dkU/sGX+OgR7bmkPbc0bZNLETuzw5fE8qaw +F+unU4+xGz7Dpthznmy/vGa8IicyYgfsx7vEwDLJ/nrNWOWeRyu+izggXnhn +qGKO4P3RinEAt+CfoZpjYHnh8d2F9boU9w9kluc7Ed8bK75zc82xRxzAD09U +bNf+8AH2hwcmlB3jP2gkycSGZX1Feg01zFWrm7b5Ad2/vWS+gR8e0HqP1vdm +5omR4JMtOvdS3XrDP/gWm4BNOBau/bm+b22Y7z6hvr/DeLpfd07Rnbsz8xAx +xFvwRGfDXJFI/xP61hv9yyVzbLlsHFzFw4lY36mzv27YVy+qbdN4hvpjLcv4 +W/Vr9e5H9O6LoSNvgl14HF+8lzkW1qb220Gt79O9Q+p7280h6DotNf7B56TU +WAJvn23a95O1f4/0fL5sn3aVHRfYv7uwn85l9hH+QX78g592sD81V4BP8gT2 +O6G+OzW2ibuzkusGtYGa+Wdmal3ALZgFV/A1eL2ot+ZVrTOc2JXZno8X5s13 +Q4albc4PzI/p7ndkvxt1/8KWsdjbsh2x5+Hcvv1Z3fKhIzogf671htrva+Zy +bMDd1+nss7rnoM5e0rmLajfUbGuwTAxODT5HhrOZfTGq/kzm/LJBMh9o+Z2D +LevRH/n3L6nl4Bs+wBd9LedQ8Iz+cBO+gKuJXfQivuA2fAuG+d4VeybEGN/B +Q+AP7OFbMI5eIxVzHOc/17R/8TPcDq9TRzxYdS5gfqFmu/LOnPAJvnsmZGT8 +Qst4+FvTGFkQOp7XuZtrnh+qOw7xB347EjUL8Xdb1Dm7tOf2DnPE0qgD2Ptt +rRcN8wffr2l4D/5aGvZH1vFxJ2fo0Z1vS2K8qzB/vBn5glwBP8AVO6OuOKy7 +d+iNuXWfPR4xu0zr6zuc2z7Ibduy/Pw16TyR3KjxNrUx5J7M9j4aWFqmc3Ma +rteITfwH7rdErgL/yyLfkfewF3YDX6/qbKPD80pqLmb/ndLlx1q7q3BsgK17 +1ffnzmX7Ws4DYPZK4AQ/ouOYiOePRq0xErwIfqmZKsFz1Aw90S+MMXL0hmzk +lIuRL8jZh8In5K5/Vhwj1BZw+9jMObMSOYl8+FbFGCYPMCcXnNKdp6vmPvIG +mOf+d9odI+Q78vDlqCGvL1w3jC8cu88Hzidr7x9S81KBfXTmmsK4ey5wTpxR +X8Kt+O21qLX6Ctd+1ICvyJ6f19nfqd+j9f3yxW8K59flYdt/5Y6Zs7lrublV +x0eeO48W6vflXt8b2BmM3ED+eDJqM2rIT9ZdR9LAIO+MyV2rd+b2Gb77tOw6 +VW/9MTWfw5l9wZv4eUX4GgwSX0ciPsF5f2aegIPgjZdz7zmh/le564Kjws9Y +5Na743JjNo0aA//gJ86SY4klsIseG0IX7n427qc/Xf1wzDd472TcQz64NrXt +4JibC9uIOCP3PxW1yqyot8hl+6XDdI1XSadW7ho4y127MiYnITs1MXXW/tw2 +OqD+r02/DzdfDh8gM7KcDDmpe7A5+XJF5Mh7CtcE5Gq4g3y2Oep6MAKusDM1 +8eKreS1q7v/nbq3/KXVOJIYG4ux1heNnODMe769aLr6RR8gxw7nXz6g/l7sO +H83NAZwBy8NN1xjUI8jQEbXoGs1/qX2r1a8LbJ2P3z7UEMQ7a+vi98vK9MPf +N9TpD4XfN0a9j14zIpdiB7iY/Ims4HduYBgfdMXvAvDE3Udatk09ZAMXYIJ4 +/25mmZc0zQ3ro3allpgaOKdWhV/gHfgK+eEB+IZcBudQ80wPOxMfU+LsYGZe +uK/pmO+JmurawB11EnXltMDYmOAD6hjqyu64k/smxZ18647xC5kxuqbp75OD +fw40be/+iKerv8/2ZNbr603z9IKosZBjWrwFn+G7UvwuQWf0xSfkEvwCpnpi +Pzy3K+KJuJoVumzN/Nvwh5nzVVfItiPzb8ztmdcmhL/Qe1zUjsQ+b5EjTgU3 +zwwerwQesOPMeGso/q8wGL9xOqMW/Gnm+1dK382Zzy4K3c+H/thlUsiGzeA/ +bAJfgm04k1x0IWqSvLCuOzPz/cQ4+z8wXByp + "]], + PolygonBox[CompressedData[" +1:eJwtlVlsVVUUhnfbe8u5t+f0HCiYgIjghKgBHxTwwUhCW32xohE1GotiAUFa +QAKY0moUcUxAxkQrQ2npwKBGQCMJUiQafXBMTEycYqT1AaTMEYfo9+f34c/5 +11lrr7322mutPW72onuaSkMI60EOPBGHcCXkCtCRhNAFroaPB03oFoEJ8GtB +L7pG5GtytpHtMTBYEsJc5H74cnC2LISBfAiPpiHMxD6P7lXk45UhFLMQStHv +i/AN70m81zfgbvSbiiHsrwhhyZAQJhdCGAO/kX8vYf8F2Mu/NRXm9fi8A//n +8dcC/471ET4PccAO9I/B38f2QIV9TQWzM+v2sN/1rH0HnGDtP/h4hli2g8vR +jQMLYp9ZZ78OLI6dI+XqKrAQeR8YzPuML6AbAPNyzolyM4f9OiPHpNgS7D9H +XwXWKd/EfBrbM6AbXge+RDcWtKO/Afva8hCmgG7yeRD9v9guJT8T8XcgdR70 +bz/8ImtW5hyTYlNOlVvd4S50pcoXaz9GrkZ3C/I01jaDJvRlArlo1Xkz38Vm +8j+l4DvJkNvgjTov5xrGnjvZK4JX4Gsb68fkfAadZSj6HSW2qYLfxb+vcq65 +Tmwfxl89/o+x/jg52s2eR/A/n/O2wRvBu5FrRrVTAw5j145cC5+Bv69zrslu +/O1MfDf6J91Z5GXwV9h/FXx34rt8E4xE/5FiYq+D+PwQ3qsahG8Gu+DnVNM5 +14hqpZZ/nyBfIBdTVUvE/zPxtpQ55luxmcV5+1g/mrU1lc71StYvQ96RuLaU +A+ViEHkx/Dn0LfBTYAnyb8h78BWDAufvQh5OfEPZs499LsEmhY9IrVOOlesO +/nWRz1PEtRV+E9/RyHMi53gL/kfnfEeP4/sHsIXY30B3P/YXiWlj3jX0ILr1 +iWu1A/9r4EfZY0a572Qh9jFyO7odrKmEH1MNlDmnR5CrM9+Vamo6/HnVF/6a +wR/wX7H5m1wtwH4Avg2btcTcTcyd8Er8teV85gz5x9S1+gj7/QRvyjxLtuO/ +P/YM0CzQHd0eO+fKvWbSCvhM7F+P3FPqLfWQekk92BPbh3ypZxvUu+yxgfgm +Y9+VOmbF/iTy78gDxPkZqMW+GXzA+lXoLwNbsT0Qu5eK4GXkYZztIvYvRq4Z +3bnu/i/40/CTqX2XIJ+Af4/teeprouYZOMy/unLfge7iF867Ku+auVPnwf7Z +gntzNbgAbwUN8EngvQr7lC/1tGJPQHXkM9yG/lPk6fDTkWe2Zrd64N7YPaRe +0h2uhq/Ax8mi96rRDCj6n7h8XEoOJwzxTByZeeZq9urfKORB7McWnTvlpCf1 +rFPOlfskdW39CRpT96h6VTnog+fwsbfUd3offF7s3KvGVesbQCd3OwJ5E/xc +wWfU2ZTTzYl7STayjYllGvozkXOyMfFazWzN7gb2PJ73TDmj9y9136uGVcs7 +U9eKala125t61mimfIs8qeg3SW+R3jT1uHpdb9hTid9MvZ2aCSeRh2KbgqOR +Z26mHs+759R7utt69KP+v+PWxLWkGBVrXey3TTWiWpmVeLZp5terljO/3fK/ +Ej488VukGValtx0fS8vd0+pt1aRqU/9OpZ75mv2KKUXuT93LmimaLfNjv2V6 +U/W2KreHiq5F5Xhu5lmpmT6A7QOZZ5HuVHf7UOze0UzSbNIM0iwaxr/XEs+2 +m/HZH3nGLS/6TdFbopzMQt7Nd3zBNmsTr9VM1Wxdh+3bBc8T2SgHykUF/9+C +/wdzATiz + "]], + + PolygonBox[{{4254, 3056, 2476, 1374, 3773}, {3775, 1376, 2478, + 2959, 4255}}]}]}, { + EdgeForm[], + GrayLevel[0.4920077107038421], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmG1sleUZx5+eyuk5Pc/znBPpHHbsg1t4kUoDxhFAaLEtLSjUzYmZUAXU +AW4MXQaInwBZijW6ZV8kIi9aVKS0CVAwcQ7qxpZtJlMX35YlA3yZH+CDS0ay +MV22/4//RbYPT+773Pd1X/f1+r+u+1x330N3bCgkSXKgLknqNR7SOEcLD2h+ +viFJTpWS5ANtPFxLkuOa12dJMl3rd2rtQdFs0vp/NE5Pk2SG9tfoqxOPa+tN +84rmr1eS5LflJHkqzvXF2U90z42iL4hm1rgk+b3mT2ntDY0n497Hi753kta7 +df6nop2ps6PaG9A3od7yDtVZ5pclR594tUqudtEv0PclrT+t+7c3JsmResvR +I557xbtLtJ36Jun8tyXnD0VTEe17eZJs1vq7GptDZnR6TDQLGi3fJdH9U99M +zfvFa494LNVd70mG2fp9qJoka7VXCR33aO0dzadrvFiy7tjg3+K5pWyZRnV2 +otYuyc4Paz6ic4c0v7rsM3/VXlHzFzW/V3sXC16brPkm0R/TeKvom8o+w943 +9Hub1m/S2FHvO7H/utT+3qv1z7T+QNH80H+8vicL/o3N4PP3kvdYJzbwz9Q6 +2+8azVeI54+ly3Nl+5LYeSP8iM4zIjaIkZkxPywb3arzh2XndZlpl2X23U7t +fz2x/bH9F4llaQq9Nkr+o6JZLPoR0Q/rm6Zvqb4l+p7WXn+decFnrsY5+rZq +bXbMG/BX1XH3x9R2faJo27LPmaL2fi2aFo2tufn3NthPxGN38P9JzIlP4pX7 +2zX/g86u1nx31fF4C/dq/6v6dkU8txHfssO6xLoyR1/GnpgzLor5QcmxUPOX +cscw88+1vltxv172Ga35Hu7DBm/LL9P1nS3Zru2RFx2ZZeiT7jel9ufazPot +DRsuiTlyol9P6EsugwWLCo7ftyqO4YGibXiPzrZo/4YGY8TicaYn9s5UHW9/ +Cf+3Nnj/vjr7kNjAB/Aip87Vmxf78GiNe/F7S/B/SzK8KRlO63cH94vfoGh2 +Fu0PfLEtfI/f0WORvvEFj/zGh7tCZ/S9oj9nr8QNdntSNpqsc0ty5z2xgZwD +me86IVt+IHnOSZ4LOvOm5h9q3l42/8khDziBX/H/91Lj2HPi8WxuTNxNvKX2 +4Yeat+e2xSrRvKb1Dp07qvk8jcPkVuI8JUdv0e9n6m0Dfnfo968a7GP0wBbo +sinyF/kZvxzz68R3lWjadM8syb5KuPdpyZgL9uKfa3PLfjjzfdwDlvYp/vZJ +t3EaN2jvPDgtPmPi8a+ysW9+wfi2NnE+fxI4hv/BC2JgWtEyIcfXxCfROAWs +KFkW9NmnGGoFfzU25841cm5H1AfyAj+8X7YvwH+wn5w/q/0zgS3YlfhaHXY6 +H7b6eJx5wWeq+B+8SnLmttOEsAN6D4bux6uOvxNV64BdwMblqePpUu48/HPJ +NaEvaiV5Tyx0Rzyw3hy1sjnkxD43Y2+N303sB+oBMoBf6LSiZvzG98iFzleV +rc93ZP+pFd89IXyNXmfiLuxwZ+o8uJA7XjmPPWbXjIXdufmB7/DcLPpR0d8m +/5wS/3+UjfVgPLGI/tRAfEYM4vu1UROx62jYcUxydTaa79yCa9P9kmdHg+1E +TCBjx//1Dx1hE+o9df/nku3R1H1Hb9S75qC5ED5Flx26a7DsHAOrHikZr14Q +n9Va20//kBnf2zSeFN+VWt+n9ZszY+hcjRtS591LmeMRe8F/fWofHdB6d838 +F9ZcZy9GnG8RzQl6BtHcrb0pmr+qmHlE68fBncipSRE/yHUkzoNJu6K+VMKu +2BMMZSRPwMGzEWPrIleu0HUEDXj5dtm02JM9bDsxc2zNT50rp8MHr6fG3SHJ +eVLzhZqPZo6f82Fncvli9Da/EE2XxmOimVN0vhFjCzPj5o3S+6C+Qfl9UOPS +mnMd7FkW/cBdGjujTlGvyNG6sMk5yb66bBvcELWAPD6le7t17/HAns9CtjGt +94DPWj8r3XsrjuWh3LX1UO78IxepxfQ2XVFbwew9YXN6g9nRSxB3HwXdRulx +d8W9FzYGK7Dz9bmxhBpLvemP3gZMZ96buoZ/HHd9FDUdnkfizEXJ/DPx3dbo +3P6R7llecT80nLqn+FvmPmgkaiK9HXm0NnX/u6niGILHxor5DOj8+oox4/54 +A9BLU4eoRw+m/j0UmAPWDgf/lrhrWnzDgd1/ym2bRanzayB6qnLBuUPdoZei +bnbrnu1R2/Hp/sjBsdy5QY5kmi/W1yT6eeRFo3tx+vCe3HxnZe596YEbctfC +4agvz5ed87PCt+AD/kWfw1E3yWHof5C656Y2PZS6/lCHkG1fZmx6Veu9ud8e ++zNjHxhYzh0PXfGmuC13n7cgMxZw1/dT9+LU38WatxTNn7h/N94dv6k6N4i3 +Van7DOKvK3NP1x59HTqcCB3nBi7dnho7wJBK1ClsT02/PXf9GMxse2o/69/M +3UO8qPU7NO+k78/8XpkRb5bHGiwr9ZH68U5gC/GwI/wOVrA2JWo3fsVuxEVr +YPieoIeGvp/+bzg3XuOXau5z3Mdd38rdK7ycuafYG/wvvxcbXPOoVdSsZYFX ++6K+09N1R19HfoNB4A/94/ToOTsaXXuoO/Svp6M/2BEyc9czVeveW3NPRhy9 +X3XPAc0XVb97flmxXL8r+92LfPdmxr2VmWMJm+Nr4n176NgS+cMaNgCj8G2e +ez4WNRYsJWYbc2PvyYgfbIW926Jm3RW1BQwkNogF6InzNPc6GIksm0OeWm5s +B+OpQ+i9t+p86oj/BLbUnHNbNZZyywPGF3PTvBZvMuIHLKH37o+3APnUFnq9 +kDkOiceD0b8Sg0PR36DjUGa/43/yZl7hfzk9P/TiG4k8uKLnmsBnehX6/KZ4 +p4G3pYLzjnXeb8QFfT775Clz4pG4ALdbU4/0nvwXsTN0mRl9DXWId0Zf5Dtx +xflF8e54PN4ePfHOQIb+wEP4TI5+clrunp7a9ZXcfTMxvFzjp/EuXVNz7oPz +4Ce53hQ8twW2sk6+XxN93ROZ9QKH6DGR65XoQelFV4j3tsxnwdGtmeWk5vRn +thH/SezMfNfieP9ODFtdrv9hc/Sg5lHnPq+6PvD/ELG5PeJzc8k2QfdnI6fI +LXTaGnUBO1J3wQ1ikxgFq3pS01BbiI9jUafGZ+4jmzRuycyLegh2YmvqNXVu +ZbwHByImwb1HM8fESGodRqPG8Z8CcTwud8/H2QO16GWC5kq/Rb90+R0W8lzu +OwKT+X00+tj+iB/k6azZFl216Ecihp/PXFOoLfiwM/oB5L4nYuy/WAY+rA== + + "]], + PolygonBox[CompressedData[" +1:eJwtlVlsVVUUhjcdbnvvPefeE9sXpSQOCCjWqImNZaqdqwk1USRSWgvG0CpY +MJZSHgxEDVoiGl8wDmCsYCdIgBZNVEqMGocHJTEtiRGKmvCAD2psojgEv9+/ +DyvnX3uNe62117nuka339xSEEJ6GiqBvslA6hE9KQmguDWEdfC00C76K8/m5 +EC4UhrBxXgjXgA/kQ1gMvjUVwkHwoiSEVmz3c9YWhfAnNpuh37G/HRqMQ1hO +wFHkjyO/B9oNLuVsJ7IGaBH4Vc7qwQ8ifwlcwdke+LXwL8OXwz8PvxDqgN+B +7yZiNybGe8kngLuQL0F+lpy7we2RfS/Afi/8u9yhsTiEH6FO8l+JfADdcagS ++RHk9yILuiOyaugSsvNQB/JribGM++5C3ozsJHQjvifIYZvygf+l0DY96BfG +lr1AfleIdz06tdjvwX41uv/kXcsrhPwbfJr4G4k/i89J8Cp0NqDbx9kU/IJM +CFX05yI+u6FO/M8Qqxof09KF3pznmr6I7C2oGjzCWTeylsi5l3DWj2yEmHdh +uwr+avx/ALUTqwP6ENwaOdcy5LvQ/4HYZ+nvz9yhhu8W+Ff4vkYOZXx/je1b +d9Rdm/CRKnDNVDv1SL06TO4X8b0E+xugb+G/g9ZHniXVdABfs7Fjt2C/ENvL +sWdDM6fZq4xcu1vgKxLP3gP4y87N4NrYs3AK3I+8HP5Z+J+43wi2x+Dr8Xec +mL3wh+FXwI/Bb4H/GF9f4Gsf/r/ExzP4SKU9MxXofsT9BtHvxN+pnHNUrprh +NdhnOZsAN6ETqbdp91C9y0J/wZ+D7wLfAZ2jH4+mPEOapRXx3OzjY3nsmdXs +qkfDyO+OPdt6IzXgP/D3Pf424es2qISYJ5A1oFMKbkJnaYFnpBF8M2dDRX4z +N4GfxHYg7V6qhqqRaqU3M4S8OOda1eEjBU5D4/IFn8l5d5zO+C7aIcOcNRd7 +xqbw1Ya8N+PdUg7Vg+dz9hW6k6V+I3orfeB6ankidu6K0Yf9IDbPZd2LKvz2 +gguyrr9m8PW8d9VSfLwBHo+dm3qwA/uJ2L04Cd+v9wvfDP8e/E7447Hvpppt +h2/Fd13GuRURuyFxbtpB2kWa3cmMa60ZXpzz7vi/ppoN9AeRX0LvAPi+yL1M +E2N37Deut66enyffTYnfhmZMs/YbdvvBxwq9F0bQbyl2TVXbrfg7ir+V2rH4 +m0Z3Jutc9Ua107TbNPNl4HcS10o1G0k8exfSnkXN4Gd57xrNyKfgUailwDtx +DDydd933cTYFHo4d+wg59JDLWOxdopy2qb7o1KX8RvRW8jnXWj4TcJxzL9SD +HPhzcvk363+R3lxr4l5qB65OPNuX0/63aMa187T7VJNR7Dcg/zrt3aQdqZ2g +3aB/WA3y9+dqqloeSjx7tRnvB83g+sR3O4jPdvB25E9lPavqwebIu0H/tEPc +tSqe6yVnd4LPoHcG/ZlS/1O1Q7VLVYMJatEVeRcvUwz0n4hcO+2codj/GP1r +tNMfBlfi66GMd6N8Phb5X6qd/jbytsS56p+8DvwfgWr4Ww== + "]], + + PolygonBox[{{4223, 2237, 2624, 2412, 4250}, {4253, 3050, 2465, + 1334, 3739}}]}]}, { + EdgeForm[], + GrayLevel[0.5825409899843454], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNWWmQVcUVvjPvvvu2++59lcQsigaUvQCVJVaRRStiABMgQGKhkoS1mIEq +WYIsIuUMDItIZKxIWIekRIgRDQKaADMwqCEaGaMsRpMqkooGs4AVARmjWJjv +8/so/NHT5/XtPn3O6bN83dNpwvRRd1UHQdAVfzLoD+FPXRQEe6uCYGcuCAah +D9GGYnwI2g7M+1UYBI+i34y2K6d5NWjb8fvXaDdj/rR8EFTyWr8J32rR/gG6 +BB6T0WfRyv4eof0Ie67Ht7exvh3tHFpPjBfRL8wGQT3ovySi/4z+NbS5oL8R +B8HqjGRpQNuIfVagLQUdZ7Qf5WnF2H60+9HGY2wc2mC0t8CnAXzeRH9nGgQn +MHczeGbL0BvfT6fauwR+n4d96vNaew5jY/GtHf1e9hibBbvgc/AG6BrQ7+Hb ++znx5/qtoHdDz16g/5WVLtSvQyUIDmB+b+x7AmsnhLLVSMx9EvSz1bLvaPTz +wP9j0Kux9ir8/gj0StCXgW6s0lhfzFkLuhvom0Avr9L3zqAzEHBDVt+GQecW +8E+xb4TxL4SSjbJSZq7jWU1Cy6D1yoieCj4LQa+r1u9JnsfxrGnOvxf8X8ec +BYn0pB1pn5ewdgB+b8HvZtuD9KsYb0U/B3PeCiUH1/w7lPzLrR91o44XdaZe +/w31jb8/CKUf543JyLZrrBd58Bw/tq5N+H0kp/mkH87Ir2jzBHPaQtkwQv+H +UHv9EfpMx5yXE8XChKziYRXW3pCVD9dB0al5+UCXAuInL39rIs9qydMT4zOy +8qFpsMNdWflVCXMOhdJxDWPL9noZfQu+/xjjF0C/EEqXb0KO2/H7ykQxcABz +5mL8FYztB303ZQa9D/TsQGfCM5uI1obxZvSzHPuM+5n0c+qANjbQ2QwwXYCc +ebSR+H07/HYD9LoD/RKMtUfatx79mUhyMpecjsS/qSL7PIJ+eag53P9d+N/j +6L8G+ZeGmk9ZzmB8G/q+GG8MxZ8+sgL02Uj2YM/f1KuYiC6gjxG/d8C+67DX +SsZiJBssjkTTJg9i/FwkOzVEoul7iyLxJU/ye8D8B4BnC+Z+BX0t9L4P7WyV ++lWmx2K/jaDvrCifkWZeZD5otD/wzJvyOve4hHVFfeuBvntROaYb+pNF+dFX +sd8B2gf9zWi/Bz0I/TDs8TC+D69ofZ35s9H3mFcP58XvnPPtNOfcfnnpwHi9 +EbyeB8+b0N+C9iLob5V1pqOqFZM50BHad5lXE9m0lOgc7w911hl8r0YbXi0/ +Zc9x5v/3nOdrbSfuu8r5nr/pd8Oq5XtvxMotAyrK7Y+Fyu/0gYdC+Rh99jvV +8qss9gzRRlhW+ibPsYSxonVgTLDn2jLG4kj5lPFBnegPVREDXXzXQea1OeVH +xg150wfoO9Sd8+mPjZaneyI5u9mHl4WSjb681HTkb9lENYI2YZ7P2465RDGx +3PbkPj/xXswvnMv8X3E8pOjb7UesW/TnVaF0py8/aPok9toWygeYe6kT43kZ +6N+CvgXjH8aquSNw7kmitWX0vROtPY7v+1yPhjP/p7LjT3FGLZHyOPPFoZxi +mbmFutQ7xvuFijPq0j9UHFM21jragrrRnksc49eHim/agTiAshGHzKto/m1l +ycrxfonidZFzAs9oseO9NaNcyTy5OyOdiWUWuDadhl7zy6rfQ51v3vFefUPx +mG17NjhXnMsrnikH83ibc2P/RNjlPPjUlbXvCNAD0Vcyys1rjVPoM1xX77VT +8L038xN+z0c/L6O8Pxo5bFRB+b1PRviKcxZEqm2kefbtxkvzLBN5MmYeNWZ4 +LqMaxvr1TiLMcCpRHWCssV4zttZatm9nFXv8zfpGXEJey8ric5v12mz+9Lv+ +9rfmjOzJWk//OpWRj+3KKo4YT4scr8wTPKPlruNcW+8azXpOnMM6TtyWNa4Y +kpfO1PcYxo8aV/HcRvvsmFNudp5pcL1irP8meykf8ExGm6533mJe2Zm9lMMW +O+dR5kHek/yfzmqcPOucM5jD6Pv0K/p/nXENz4K44lnX1KUVyfp+LCx50njy +lGnairY+4bgYQ4wUyV+IeXh2jdbxbePtmrLmT0H/VFa5lPLsyQv/0Fd2ZCVn +s7EhcSAxz/lEdv4Q/ZaccM8LmD8VrTYj3DfGfrWI9k21NpPKrxqNxw5mdFbE +S6xL1Jn+zRzWz3mMmIs4k3ZhzeF6riW2Yo3rbLza6pg94BjmODHR857PPZ/z +OP2l2f7G/Q96DrEbayXlYX/QNGs1aw/tx/sM7zU9qtQPNs38yPjj2VH3KY61 +3qYXmaZtiHsnGR9PNJ/x5lXrOOb4YznlX+q+17mUtZZ3lNh8eJb8Tb/dmlHO +Yr5qyym3Eg8uqyhPER8xPlc7t7ySyv/edS7nHPrqZyrad0hZ/kJcwn3o+4wB +xu9Z8D2TExY+jLYnkmzEmC0+C/bNpnmuPN865zPyYRwxP8XmP9m6UC9iqL7G +UbTNEPv5FPsW7TkYe14bXeLBnmuJMfmNOOq6UPXkYm2tM1Y8hvFrQ+EH+uk8 +8+QYv3OcY/M9zvp8nesy8cv1rrmscaxnjNWVZcXCuFi2SXwXWFEWRh8by6dK +xuq063bHI++h9C360tqyfH5NWfE+3rrXOM/Tx2i/gT6L+fYbytnL9EW/Guq1 +Q1ETOhfEb6vHuV+t45ZrmddZN5gzmVfGeS1z9kD7zOVl1cQvleXPfT7l51Mz +l/afbz9mbuPdj/7eIRFdiXVWfXzWlGWZ9yKP3panj2nOYY1kzfobfPYHFeHh +v8a6u9N2tNuMsnLiTPTH88KsrAPEtmXj2+8DI3+xpHieHeu8nyqrZpIXdV/h +e3/Gd0PegZn/mCfTvHIl/Z01hNimY0Ey8A2hCbw7lYSjecfk3Zt1qdXvDJ+c +b054ke8FvFfyLs08t90+TdsQgw/1edFetNvCRO8LXBdC5o3Yp6WgeyDvi18v +6M1iJManQ89CQTV6YKS435aKfjwVTvheQTJT99GmH6povLGi+9BoYwnKPspz +2mPVI9al7qlqZI9UOJG6MRe2GQ9TVuLWTX7PWQC5akq6496YqNbwPePWvOo0 +6+X8WNjgmbLegXb5vWin6ci1dafpFDwnl7Se+eyQ970Q6578z1R5kOOMi4u8 +PsGHsWrN09hrL2T6RUn3bOZi2pTnNSdWvO+0PJs+JUPFMtPX15j/fqz/eUn3 +trXOwbTJ3bFyyA7wacCcC0XVlpcwd31R50e/6+d7Fnnfav4rC/Jd+u0uv49F +vg+QZh6YGytn7irrzHhe9OEOqXz3ylTvCWOMDS7eY4lJeC+gv7T7PtTguy0x +y2Lff4mzibd5Z+L5l30nujfV/ah7rN+kL96fip5/Tyq6G+Y8k9W7APeZl+p9 +oGssPyr5/rUSPtEJ8hShy6ZUeb4pvXQnJ76ijff5TYSy97T8zPfEZ8QtOcx5 +oqj3F2KZOr8tEK/V+82B+y3xWwR9qN14cUxBsU2f3wQ+T4LPTGPSRb7vMz47 +2184lzIzrzIfdDTNOwbnEx92iPU+NTFRnFMv5s8rYr1h/RDjs1PdTzvHwpYZ +Y81XE+1/OBE2zhoTz0l11+4S63fovR6JpQffKa9Khee+TCyW6F2F7ytdU51H +N/RXp+J7DfrOqTBrF/QdU8nRKZU/RLZ/oSwb/YzvkbDN+YJ89z+guxb1ztEx +Vg6djj07xcp3sxP5HzEqccGVsXJlTSKfyNsnN6Sasx79FNj/nqJsTblyxtnU +qcp4+kXMebOguOkT607yRKJvgd+oacdq+8asVPQ1mDsj1ZyrQa+v6M52X0W2 +oUz0YebWVudw5n7eI4iHf5kTBmAt4Jstfw83RuIcYuPzqe5gH6G/oSJsN9h1 +njQx3hZjKeKoJdB1YUn3xqPGWdyLOKPFd2f6C9+L+U5Jn+Lb7mW+09Q4v/Ge +TZl6+S7B31uM58mT+IT8KHOzdTpmmVnjjvmuROy51zpy/j7TjIkPSvLLzxo3 +Ej9y/j7jIsbf/0qKwd+leqc+mCpnJ0XFHG3Du8cY77vXeHI7vgc4k7EFvTuz +xnwO/CcWdN48a8q+1fLzjI677v8dcyYUVPsvT5T7rkhULw/7jetULDzUHWfR +w++zPdE3F1RfObfW9Yc5lrjurO3D+rDf/nDEeJj25Blu8Zyjnn/E9afNtWld +QWdc45rZ5jpBvffYtseMq8mHb1vEZ6/HGjts/sSYZ0zTRsct026f+3Dfofi7 +ydim1fjmtVT/R/kT+v8DeexMCQ== + "]], + PolygonBox[CompressedData[" +1:eJwtlndsVmUUxm/b+3391r23Ro0KqJRRhrJRElQwONgYcUQQlJREUCJl76pE +pAioEAe0tcRgRAUJywUUqFs2JCpqokaNE40xhqpMf08e/zi5Z7/nPe+555zy +yqqRk4uDINgHhMDZXBAszwbBUyVAJggmxEGwogheKgh+B99TgI/ik0AMvbYs +CPogO4Pdy+ApeIuR7cd+cBQEWeil0Aehh0K/kA+C3fifgk1nvkuRN+G/kA6C +BYl1pNsDm1mcNQKfzxDHQoKsTexTvrshn4F8CPQB6O7QM6GPAbXoVsNrhe/Z +2JTi+3XOawd+EF4V+GTgAPhx4v4aeIAzHgFOEdNDwP3gvYB9yBJgEPgQoAfn +vY3vdcBvnNUR2XHuNBibhch7w6vE96vE0wn/O6FrQuckDb0LelnonOSg88By +8EP4GxYZhPeENxvdM8Bb4DXwWiD7Groh4/wdxvY+zp5PDO05fyA6Fcgz3DcL +zOW+d5O/59GvQ3YUWSPwOP6WABnsU8g3FVtnDPg/+NuZdX6Upx34aC7ymWOR +12HzY7HfvD52DIplKnAE/C9i6ZBzLlcAVcR8XLkCpoCXxj5bb6a36wV9An/N +QG/wSs7+BvtJ2EYZv8Wv0A9n/CZ/E//v6G7AvoZ4vsNmEWf/XRoEJcja4PNZ +1Rq8rtAPo3MCu8/hzQG/nPtsQbaTOz2G7VToorR5l4GfBuZDP6qcgJfj75kS +1+Bw7DvBezPlmlXtTocuQX8rvNbglwKblTfki5AfjZ2bf8nrujLXnHI7CZuz +xLcX/ibuN4Z77uYOo9Gpz/hN9DbKxXhkZRnnZCa87RnHeIqz2ieu7d2ctwTf +1wLriTcEUsTeAfkbyPcgfzx2DagW7sX+08QxKtYAegp0m4Jx5US5qeD8RVn3 +Ar1BjWoY/TTyWcjbAttS5klWnjgXjdCLoccCC8Gr4X0J3r5gW/2T+jelI90Q +egb0cGI+THy9qJE56D7NfaO037wZeiY6qbTPbAO+Ed40dJuxmYttpeqryDXx +PfgXsc/+GahEfwQ6R9Dtjc1c/b8F9x6dUa33Q39UiXvI58jaAsVpv7Heei65 +2MebXcd3cMY1pFqSzjTk85DVIpsYuu5ynFcO3RpYxl364W92yjWl2ipHv1PO +veMoUB27dx3j/AXgnwDvFNvmU/Dd2D8RumcU1JvxeTu+b9MbgQ/C5z7sX6GW ++kB3h15cbJ2V0DOwOYdtAzFPB99W5pgVax14S3gNyFdhMw7bKmLbkXWvzmbd +g9WLr+S+9eB1ifG7gIPqzwW/xU7lGPs79Cb4+wF6InhO759xDOXgPTizllgb +oYdz9gZgNf774m8D/sLItSwd6XaO3VtfRKcidk2rtnPoz0scg2LRHVrE1pHu +K9AdhXPmD0XuaWPQnQjvj9AzTrNuYOTcXQRvNXjHyL1+Cz5i8AmR76Ier15f +l/M/rH9XNdGTGF8C/xidm/T/xT5bPUm96Txskox7RCvOD6CvwP6rjHvAePR/ +CV3DquVxyOPQPuV7OzYD0+4Ro6AbsWnIu3bUVzSLJgDtsp5Ju4A1efcg9emY +eB+E15zxTOsZu5eqB5/krFuAs9B7gL7EuypyLvRmert5Oc8czRqdIV+35l0b +8nlz5LtvxKYrvsdgkwf/AN4AZNXoFvKeDfpH1id+65XgTejeg833oXuGekcW +Xgm6/8JrDX5x3ruG5o92lDS806XOWSvwUuBcqd/0UvDXYs8C1ZRqq4HzuqWd +Q+VSPV69Xrw1iWeIZoliaCl7clya9yw8FHtX+Dbr2aSdYSC8j0Ln7BHudz3w +Hvh+eEORXRJ5dmtn0O6gO+quK4Ay5N9lvWNot1CPVy005bx7qCb0T+vfHg0U +Is90zXb19IrEOVVuPwRuAP8p8Ww5Qf4uVP0V/G/kgfmJ/2n9202c35/zuxSM +b/9/tnyWeDZoxmvWT8y756nXaccYBu9A6Jpcjq/fYu+GegO9hXqcet1d6hfI +k9h3Vc9V7/2z4N6mGXWYs6LYu6R6vnr/1Mi7gnYe7T53Rp7d6iHqJReUuVeo +x50PXhW7NlZz38mxa061dyt3eB///bB5t8Rv0j9yT1JvagSuilzjqvUm4Brw +58ocu3qmeqdmqmardqo5+Kst81toRgxAVgKvPuUaVa2+Hnl2qUerV9+pfhc6 +BsVybeSz9sIbHLsHqxfLR4ivr9DfEHpn0u50deRYVWOqNb2p3lY6XaBvjPz2 +ehO9zRuRZ5t2dO3qqkHVov7BpaqVxLnRTNFsUU9Tb9OMWq59I/Euph65Fvut +kXdx7YzaHbdF3k21w2qXVc6V+2eJ/xT45si7+SfAyNh31F2Vg5rINaha1A7V +UbtY5N1dO7J25ZOxfekf1r/cruDdQDNfs/8/DrSkKw== + "]]}]}, { + EdgeForm[], + GrayLevel[0.6730742692648489], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmXm0VlUZxg/c+33fvR/nnP0BMilWTmjLAVBMDcTEAUPupYVr+UcrbIVL +ISEGxzSxLKYccra0ApIycwEhEmVAJog5JOhamsymKBdNSqxEQaDn1/Oy/GPf +d3/77L3Pu9/heZ997hFjJ4+e1DnLsuH60yS5oznLOtSOUX9lLctWqM1UW66x +UZrwN837TTXLHlEb3inLpmjsVY1N1Pzz9fsEtRa1Q/Msu19jC1OWzdPaGdpj +huYdUsmy/VrbXbKH2gH179K8vZKfqN2ceXyf+t9Xf0qRZUu0bnLhNYzfmXld +pj1/INEr9qHP8/2xtmzVWVqybJbW3625izS+obPP0R5636E50+rSVb/f1TsG +at5nGll2r8YHa3yBxoeoDVZbr/lDmi3v0/4Xa85hajPVr2jdQu1/mHTpVvFZ +ukpO017PSIcd2vvRqm23RuvnaGy92lL1n5Z8Te2bzZZrot8m292rvXvn1qW1 +i/VZrDUvql2vZ7P0/haNL9KanhXbBPthk07q362hPtGfrn5V/Z1Vnx274LO6 +2hCNDVYr1d+kOVXNn6X5EySvqHlstJ4fr+e1TtZhvGSr2kfS9S092y2ZNO9j +9X+ktetz+/7w0vvVYs9tVc8/JbONmP+9zOfuX/PZ0fGfVccb/toZ/VrF45wD +f2J/fPq8+mc1O/bQo0O/z87sjyZiL7Nsjj726Bw2ObTicezUt2Jfsg5/0se/ +xABnIA7wwX69c5Na74r3wd7E596I4f3SYYf6+0KXHaFPn9DnnuzTZ8PUb2h8 +T9X26xr73JHZNnvCPks4n9a+rPc/1mzJ2bFB37DD9CbnC365UPZcoLaxs2Pv +YfULjY9ruP+O/PMLjc+rOg6JieObncvjw8fEGHssbPF5r9TaZerXCo8tinF0 +e6zF/r1A+z3e2XHVXbFZdHEOLK16LfGPfV+o2A6jFNvtdfv/VO1zeSfrcKve +NVDnqRc+w5lNjr3tssHbalObPBcMYj5jxMWU8BUxi78e097bZJ9u2n9y8tyF +hfOY5+TyBcm69JJNZhOnahP07GcV+2lY2AQdsC14MiQw4Y6G594p2V/yytAL +7Jxe82/aQX3Jg2qsb1Prrf0vyey3xeE74mlNxdgIluwNPCH/sAV2IGabIm5H +6my7W5zDxGOniEmwcF/g7dAm+4r9wQkwE6xYED5kX2Lt44jDWQ3H1W7Z5BqN +rYr3vhyYSLytl2+71f3+yYHVW3LHaS1idYvkc5KjMuMsuAz2PCubX6R9n0nW +/USNz9Xv5Zo/VzaZ02z8nhgYPjTZHj20/5OF/dZH/W/o/ad18dyHasZocHNA +k2sXPvlQa6/V3h8kYwRYwXpif07gML4h/m7Q+DnJ2NlT+y9KxscFkt1lk9Xq +HyJ5idpcrf175BF98JMzjQ57telMJ7ca12gDAt8GRp98bKkY1yZkEbsV5+KS +2Gd25pqC/8GBG0uvmVZ6XTXWPhP2fF7yc7nxplVygGy1TPve33D8jg8MPzw3 +Btck15XO2a25sRlM5xl+H9fJNtkIJgc3mBlxjW2p+eBvS8gXAouR/IYHbKh6 +PWuH6V2r9fyBhvdjfKdkRXqulByi53tyY9zJpZ+xvl/mGOYMxGpH1BxysyPm +sP+5snebfPGidFylsafUxoC32muQ5OWyz4qwJxgLF2BOW0jWEK89G9YdLrM6 +xtkH+2yLd2Mb7AlOPlA4l/dJ7tK7369ZhyuT/TdD75+SjPXT1X+1ar7VK3ON +PT+4E3teHjZ/UOOPB2eg7uFv6iC2nx4YWE22wQTJvrltUM2NW+DXVzL7aVzo +OSNwCT6G7TeE/dlrSmDUExVjAHX8pFbnCbmJnnACsB19r4g+uNGI+Cx1/pu0 +z3GSbTrnWuK9Yb4zMWrN5pr1QzdqY0fUyiNy40Q999xJMf+DyN//JM+nvp4d +XALd8St4jz7YcH/uGv1Xvf/d5H0y6fOHwjm+TLJH4XrZoeebKz4Xe+ATfENM +vaH2kvqCmP/Ll9VagzOAu/CHNcG3wItnY5xaAg73jjn/TvZn1zJsXzO+gY+1 +qAXIluBI1EZqJDgGzvM+eAsYAvcGNwa2Osb43Tfmz4g6NS5ynBjFRoOCozIP +PrMzxsnxR4KXFsEZyC3qTI+Gc7hXw7ydGnJzYMK1gW/Upm4xTq1hHtz7yZgP +Vx8Q2Mf+PYP3M2edxtbWjHNgPPWZmNoX/HZx8DrwhTzsHXaG54MTV1d9L6GW +9Yxx9EI/bI0N6GOHVfFe6sesuNNQH8gvzs5d5qXAQLCwKTggfhwZdRU9iIeb +NN47M3cg1u6Le0ePOO/HUavJnfk11yS4JHm8NHKZ2tsr9NlcOr6aFbNvNjvG +eM8rVcdhr+CrfSLGOuIZOvwueNXsuEN1D0w7uJ61xMD9FWPEv0rj6GXJ+8yo ++PfS0I99kEuivy7wB/v8usU8Ev3ntbjmkZtgA31qH7Z8NGIJ/Lhde3w3cx1j +T+LqILcmtt8ufY5Lk208N/aZH/c1+NXc4KiMw3UZJ4aRC6Pf3uo6zrwzxAWe +1u9vVW2zZ8NuH8rIp9Y97+rkWJ2p9x+W205NuTnsZVXn4ClRJwZKbq25NlAX +9uWO0amF4w98oy6gC77mXPjtleqndQnZL3SGO3KuV8LPnB+f4/vWiM/Zgc/w +ylkRq9TM2cFLVwZHZQ65gB7UheHJ5z1PcmQyjoyQPD05J78g+dOoU9Qr9mPf +GVFfuGfBJ85MzpnByb/h1nCMZYGfTaV51kNxFuT86HPG+RHzfyo8b4XkoNL3 +hFNK4xx97Ly6MF94qvBdb3nY88ZkvLpF8xcVvpsskByWjLlfkjwyGUuukfyl +/D627roBLyQvV2n+0cnYcB28KBmrrkrGr9GBD8iLIuap868GZ/1Mck2bmsxV +dgYv6psc1131no7CnO4fhWOEWIFLUKOoadQz6h08mD5ya+y/NcaZT20At35f +eN3mmM8z+tRKeNnuqH0vJOv7F8nTGtb5gsK1lphsLlxXiDe4OjH2UsTcgrBn +Vjq/wcHhkb/0yfEbkuvODzXn28n4O1v9a5PxdlZpzkBswBs+0O/buZ+X5spw +5sXJfH597dPvQOuj9j0XPuiQDU9K5hwnSLYm85ZK8tzlMR8910W9wA+8i7q2 +UX7/ufx+Tqtra0fwok8K22xicm6T42+Wrjm7gpuNiBxpT45RYvXPhevqrrDJ +eZFTX5Y8LrnGfkeyX3Jtvz45d98ILjcwcOPU5LtqR+j/TsQJ8QL/gy8dnpyT +5OYXk8+PHQZIHih8L5yUHOvE/LmSI1p9VnQEv8CxI5L5JbX4s8k+2R45Ww9O +9ePCuUROfT6Z9xPLe0rfE4ippmR9t4cN8T0xcGyy74mBY9TvXPoezX0a/vB+ +2Gpw4MZZ8LTS9eWt0rlNjj8t2d7imko9JYaIpaOSOSvc9T2NvV66zm4qzeXh +JdQOcP3hLsb2LRV/azjIRbvFnt1y196Tua/lroenJd/tqecXJt8hqb1nJ9/x +qA/nUxNy1/Ah6o9peP8/Jn+DA9dX8h2y7nsvZ5ij/qYuvnNQ756Imkf9XxEc +YFCyDujSP3kMHe/S2jvr5nG/Ta5vAzR+m8ZurZt3X6G9L+7iO/Miybvrvk8+ +qv4tdd+ZV7ca+8A9aih5B19apfFfdTHvxjbtYR/u2nNjLt8+J3fxvRz+sio4 +zIHcNn4nmVM8GbyC9YNj/4dy18rXNeeM5HXYj7v6xOBy5Fhb+K4j7h3kAvdR +6hh1bVfwQOKnEfcOsPWT0rxlf2keD59/UfKq0th6dWkM465MnryRm5d8XX7r +qnM16o4bYpN8QZdpyXzhuNw5TC4fm/s707LQh29aC+JbCRxzbdTXamG+NbVh +fsodh/sU363a4o5/aGFuAEdg/f743nJV1J2jct81iF3idkDcodnnxNL3Ee4l +++NbHmtvSo6pEyXHJnOEDeRsYb35TsZ3l33BmadGzTpS73o3N28brznv5dZ7 +YGHMArv6EYeNOHvhmGuP+x7zmN+nsI25J2Nnahx9ajR3aTB4V2nuMCq+q28s +jYljSs8dFfOpdZuj3n0k/5xR93dEbDkw7EDeg6Vw4tMVm211fyNvj+9lBzER ++aB0+zD3t/h7GuaR8KmtETu74244Ie7IBwKTOoJ3NSfHEjGF/8gt8Oy2hnXi +Lrut9J1wLGcszQPGRa3bGbwOXw+N7xJwa8Y6Sn+rGBp+3Fu6fk8qXZOoTS3J +5x4QZ+fO0j/u4ODCiMB5ah45Qh4RP9xT4U5jws6XlL6PMM6dZG3UN+ZfF/zn +mNz3G3KdHM0L5yDfL+GA84IHwg2xM/ptChzeUjrXN8d7x4ZNLo16ui7yd3vk +N3Vnfdxz2Xdk3b7Ej4/H/x6I/76lv/W9lpvDweWOzl0z8NN2ySzZl+DBuLD/ ++NI8Ax+8X/qdc+O96zT/q9J1l/b5WnKuzc/NM+Ab/032Ab6YLPmTwlxseGFO +vTLuh3xrYR94Nbi1Ivh2JfhJLXls5UGuXrN9ONfMmM93mv8BllmL1w== + "]], + PolygonBox[CompressedData[" +1:eJwtlnuQzmUUxx929933fff9/X5vKHLLdWkadwaNMi4Txa6mZvxR0aRpUmQx +xjRCN5emyDXdVRoqY1ckXaVZFInyR7nkFlOWdKHCkNXn6+uPM7/vuTznnOd5 +zjnPr+WoijvG1Q0hLIMKoR1xCLUIVhWEsBP8YhTCMOTb4F8CT8iH8GE6hGeQ +bU9C+CsXwo/Y35UK4Tv4FPq3wG9i8zO6evDV8Jug+uA8sjGsfYNgTfFfAZ0D +90PWAl0+G0IvaBXrh0DXEnMH/i9CjcEZfKzE1zvoTmD/LLbvleAPWYdMCO+T +Qx9wXCeE1eAV2M9DvoT8dxFrCfx6cBcog79x6FaWeO1ZfDZEv531S8jnGvAF +YqxBvpYcu7O+B7LPitkf/B50raEnsa1XFMJE4rWFf1pr4SfDXyRGI2xvR/Yf +uC+yanQL4G8GFyTeey02heBWrH8CPo/NePiz8E3JrQk0i9i7cz475aBcmiW2 +fZw1TcFt0D8FboBsEnw5tB28GFmZ7os9zIUvhf8TPATZomCbobLlPK/K+uzL +oL2czVL4gcTfQcwIfij8ZnRfpX32c+A7ZnwHl8+Ys/2A+/oefByfjyBfgd1y +8i2Gf41Y/YmZApcgW5dyTaVUa9Au1q9hj+fZyzFsZhS4JmvhH8NnMevT0NTY +Z6KzGQ6dQV+D/diUY16CX07cTRnL9hCjXtZ3rrseCg1Hfx+yY+AY+WGdb9o1 +rFqeFPtu1AMt0U2IXItrofHg0XnX4hb4GvTNYtfGJqg/OBu51qZDc7ANyG5A +NxJ4KXKtn4Mq0675l/NeOwb7HPrV8PVLfNbTwKeJsbeua2I2/HOsvYC+POM7 +6A0/m29V2j7T6BZn3M+SfcP53MneqvGxDXwIeiDlGletjya/P4jfjfyawZ+P +jdWjF8DtI+9FPXkSfSn+hxFzC+t3Q/Pzzl09tkD1CXWmbrpAJ1jbnjWzVKu6 +P2IfxGcj+Onwh8B9oA2FnimaLVPzrrWHkB1nfa3qC9vurLmo+sJmRdozQbOh +J/kcJp+xad9p55xnge50JPpLsWtPPgLxO6GP6tjHg+gL1OPEGou6rjC+qjOu +naXQP6yZTKwp6P8Gd4Dmgj/BX0dwV+h5+M/hu4FPks8+aAA+boMGRZ6lP3Ae +PYn3etY9pt6Sza/EnFnkM/kFXBk5F9VMFfgWfC6E34rNIPC/ie9SOZ3R7IPm +B8+Ym8DpxLNHPZcBj8TnEXw1RNaEvbdF1qjIM6sN+KcSzwD1vnr++sR3NRN9 +e/BHkfeuM/oYvCHybOkD/wW4a+zeVY2qVo/i41v8lav3oGpsXsC+r3okcs+o +d9ajm8h5HMi5t9TzHfDVjpiNiT+DNaXg3yLXgmpKtXU/NjXwbVVTrH0lcm9p +5r4KPpjzLBrM+YzA/m587C9yzS/L+Y1Tb2TY9yr0gyPfjd4svV01kXtPNaha +bJ14tmvGtgKX5pybzvBR+J7QPPiN8L3AZVn3yO4rPkbB9y7xfNJMepv1B4qc +k3LrnLiWVEOdwN1ivz2aiZqNxZHPSjNTs/NUzm+vZqJm46K8Z6F6bBrrE/Qj +wDvxUYY+6M27EluzsjCybhL8KfgvI9+l7mgj+MbEe1FN9QZPiz179YbrLb81 +cS3qDRms2su65lXrXaAK8MMlnq16FyrBC7LWvUvMdjnXlu54SuJZdibrXtNM +a5D3v4P2oL30S/x2btEbAt5LPphdrul94JOxa0Ez7Hfw14n/VTTztoIPxJ41 +hAj7wffm/a+yjho5pHlH/CqoK07LoIVZ56xcJdNsWZN1LWvG9Ejc67rz7uBP +E9ea7vQecGXifwn9k1SBN0euff1jXE3slonfav1DtAAPTLw39fiAxDkpN93Z +Cfjmec9SzSzNriOxe1k9cDR2r9XP+m1Tz5VnvSftRTNad6y71owtIpdTsWep +/glOg4/F/jfQDKoBX5f430b/JM3B/wOUmVv7 + "]]}]}, { + EdgeForm[], + GrayLevel[0.7636075485453522], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmXmQVdURxu97vPvmzcy9774YxaClxkJKEwWNihGM+8aiwuACqCzuoiWU +W0ipkUVQJ64oBpVFRU2MFrhkMZrSgIzAIEgqKY0raCqJgBUVjTIgS76fX1v5 +487pd+45ffr08nX3nb3PnzBsfDlJku/rTzeND6RJkleSJNNzbVOS/FRPqeyR +35tLSXJEc5L0a/bve7Xuee3pV/G7azT3HY1/1++T9cwVz0EaB+iZJ3ppyTTz +jAOD7syT5CTRN2VJMlrnHSn6Na2drnGh+P9Y4416Cj3HJ5YvD/q23PRo7Z1X +8po2zZ9YMc85ottqSdKuJyl7/EXQVe2t6uKtjSRZmVue6eIzVONpeh6Gv9Ze +zyPekzR3pu74K9HHcb6e2VpzQsW/OWtlNUkeEX0sOhDfJvEvaVwi/sdo7hWN +uzT8vkP08pLPekh7OyTTGdq/pGz9nRj6Ga31AzV/kGR7W3OnxvrV2n+K6Fs0 +P7hiGj2/VbHeoZcX5rms8L7BsXdZyTRrxpQt20rNzRbPHqIfzK3LRujz+ZLt +cH1iu0BfIfrl3PZ6SeNq6en2mn1mUrfQnfYN1O/DKuaBr/TX0669L+amb8zs +S/2C/x/zWK/xY71brv1l6aC35vrEuU/npq/S+6kVvxuj+aO19gD8RmdN1rhb +yL9B65bqXbP4zNHe3TV/keYW5l6/QOMdue97fub7HR7yjAu5kXm5xk34TOKx +S08P0dflpgdrb5PW1PT01fytuekRmm8Xnx1as6/mb4g4Y80DJdP48wt5nKv1 +h5VtC/ztotT6Rbfcafe4L+92C/qoqv1kdtnnJBWfNSU33SaeV1f8DpknViwr +a2aUTCPPvVX7eW/xWZrbz6do75sV+zp+flnJfopujqrYh4hZzv69ngGi96wn +yXy9e1a+t0o8X9czquJ4I+6acs8zl5UsP/sfDDthr/U6t7feteqZpXPPqtqf +iZULM9v4B1q7NXd8btN4Xma82K/hfciK7daCETp3jOYvj3neQ8OP33s3bOMB +kn2HeE0RnYhelRqbVmjNHprvFH1TxPHYsmPnU42f6Bkk+rrMcbK/1uyjM3vq +2UnzV4a//lDzvRq2wZfiV9YZ00R30zi+ZBzlvrN07l5l+wiyLit7ft+GfWiL +9q7QmlGa79T7/WItvrRM8+eWjTHEUGfsJZb4PVBjV8l6RgdgFfzRFePyWF8K +HKvprOGZZe4VNuyIvWsrvuecsn0QH8CWT9c990zdesK22PpZ/Z4r+h3xG5X5 +LtwJvwEz+pS8dnasPy+3XvtnjqeNqX0V+4xscrz3VXyMr1nP5KIratYjcp4V +PoN9JtTM6z58r8mYMbNqPsTcqyVjL36OTVgDdt2d+mziBF2ODxthd+7CueSV +TSX7LP40LnzvghbJLtBYp7Nn6g5jxOMf5JxYOyvwf0n4YVf4JTYfGnHbU/pZ +rz2Xib5B9Fjxmyi+eygfvyB6Votz8yTJmYnP1JJzEXpE91dp7w2aO0n8Psxs +o6r4HFqzHOiql9Y8Jn0N0HwePMCKLxTDE6Wj/2pcp72Pas2lDeu9d2AyazcF +tmDDYTXbsXtuXfXJ7Wvs5W7wn5x63w7x3KHf68R/UMMyIAs2wTacc1XDezkf +f3ws/JVYfyh1vvpcfnWX6I116+zW1Hi3Tr9vEf1R3XIgz9GB8/jBFYGH2Bj7 +rpIud9YzpOb4gycYuSNyG/frXjbP9tABcoLDa+u+15qI6W2pfQy/W1+zDc7W +/Dl6HtX6NbnpGZJnjcZz9TyWeO79WNMRNQf1BnMjY364+L6U2mepgzaljn1y +4/bU9wLPpqRhG9G/Tp03wPd5qeum+Xr3M8mfamwuPF/T+FXh+S81fiZ9/KjF +NRQxgd6IC3L+EVETgvGrq/ZvYpqaMou6ibzCuU9mrhfHFs51O1LnWXDxqdS6 +RE/7NVtXd2ruP6n1fbPG9al9Z4P0drnW7tHw2fg+cc++S1LvJbc/mdp/iC3u +SUyCE8QNeDBX779KjZ2rI089njifb0jtz+DM16nxgZy2OtZsKJxT1kY8QYNh +T+n3Fo275o4B8hw41iGfuFh8lmhcLF1ubzZuIe/FVctMTnsidV4nx4A14xr+ +jQ6pZ6iPFqTWP3Lfnxr3k8L0jrprmc2p16NrdL5A8+cHloKp3HVV3OX4qusM +aozFdY+L6vbHs8MnybFdqX1nqOTeXHNu+6Cw/Fsz40lXYAp1xyepawzwi5jc +mDtXkDM4d2XEA/6M/91Tcc14pHgu0d6faDy7bJq6lZpxZtRjW1P7DXGHH90b +NRu+Pz1wCT1Ni/qTM+fHufjFlKgVqXHui/hC3olRF5FXV6bO+8dJjqWijy3s +F9wF3wBvu5qMuVc3LNsrmXU/OepP6oRHolY4XPsX0dcU7kXGV5w3Fmtul5rv +egnYqvkDM78D88kr4D70utx+j/9/LHqheB0p/S8ofA40uA8GDw0cPlnvOnXG +SRrPKfsu1Abw4CxyzimF7ztY48sad9bekVr7J9HfrRlvOojFmnlQY+xac51B +HfK9mnXGb86iJqF26lFz/fR25nqAugAcmhT1LWegE3pEMOzGqIeJmVHhe68H +rowKG2JLeL2r+48QfVdmvKbfI6fSD9EL0eO0aRxWcU+HTG1Bv5F7/rbM/R+9 +Kz3Xh5ofTbxl5v0eZ2r+TI3vYsvE+94JPkMq7s3oreg734z6AVlHh/zUyW9U +XCuDH9xhTPA7PXgytgUN76HBn1rm0KhniLe+Uee8lVumOzLLeFbISV1FTXJB +7lwxPOKLuglcpnba3OTcQC9D7T489h5SOKccTO9YMX/kIZ6HhG7/mvvO7Zn3 +jYi93HVN3LeP9r8IVmgcUTbdEf3ukNAV8p4Re4mxM+Isci75FjnpdYhzYrx7 +wz32rhrPrBrPwfXOwr9XaLw5c/+7Knf84Nt7av2tmXvgv2j+fmHvi7p4/2bn +MfIzWPFuZhz8A7EZ3wL+lhuTDgtcGhc9LThDXHwTE5qblrlvX5Ebx75dS81S +jZpnbNSz6AfZ08hH4PpuEQtTM/dZy3LHDLaZH1iEjtDPa4Vr2isbjsdvYrFk +3wJPsfWndefOz+quj8gH1EjE9cioc/+c2y8Xabw7s6+8x30z4/7aPOqEknHs +zsw2ezv3eZyLHem1iNmvNX97Zj9+MzeegdtgWr1qHxgR+kJvxMigzH5I7wWu +LI37gE3gyMPhG+hifvQmrVFXz428jXzUWeR7bEk+WRl6/h02bnWOfVb0Pa3O +c+BWZ/RI4NbK6KO2ac3WZscbuMX3jdHRX/Ee/T+j979sda1BzUK91TvyErUp +sn17B/RTLSxrk8b9pZdZ2reg8X9dkHe21d3vbY/eqFf0jPSK5LhS3TVm78hZ +1MbkL2qSf4rf6S2uTfsERjwe30NYi2/Db5/gSd7uG7m7Z8yz/oCGc+hOdecF +csKmsBX+gr3Q5W+jxmJfr+j7qMfpGbHP8YVzwwmRu/EVcJiaaHP0GtSQ08Je +M8XzN5L/0vBN8gA4TM55KWKMnuzVmO+m9U+0uJbqVzh39o8ehVglrm6OOrE9 +6r1PokfbW/s+avF3PWrqjrgX7z+NNdjhs+i9D41c2LeIvFayT9LLTQi+2IDY +BaP4HkHe354bG1+LeMTvnmu27x0h+sIW17lDww7Y7b2664n3664l6TeoJ7do +7cYWf1M7ROPBLa67l9ats2Ua/1X3nf9d93dTamv6mwGFc/PAwPMVgSfoGNvM +C/wHO5Dz1cjH6Jmegf6sNb4LgQXgAD1Ve/SG1M73RxxSG86L+vDAwvh4UOG8 +d0zkPmr5W6Kep2ZFx+A8df3ksBnfh5eGz9A/PBC5gD6CmgH++BA5id4ZjKe3 +xF/nRU1M/QC2o4PnA7MZr49elXqNe/GNhlqxUnctjB2IBXqKa+K7d3v0q9wX +v/u81b53Z9yDXEUvTQ/wQeY+Ftsl8oE5svmwFtd5P49vnd/EmXjs1erveuQh +cjzndQ+fpf7E9shDzpgRPSfzU7V+51bXj8QfeEEM8p1yXNwR/70rfJjY+qLV +voIsu7RansWBzej6Ob5Hab5nbuwkV4Gf4Er3VmNLd/a22GfnRrzQSxBLw+J7 +LzkGG6B/+k76KPyI8y6LWpf/G1DHI++E6InhwzfpZYGZs8P3uTu6hPeAqN06 +Iw/SZwyJXqMtvutTn9D303vgp8TJtfG/jKMK58ujC68D28glC+vGJvq2pwt/ +i3ym8PuuWHNq4Vr2tMI4TMwT79QzywMTqJcXBYbRw1G7kNf5pjAjbEof2SNw +m+8QWwIP/weLqSwZ + "]], + PolygonBox[CompressedData[" +1:eJwtl2lwVFUQhd+EmWEyeW/euJCIllj+syxFRVEJggoKSXBjFxVQEHdDCZZY +qMTgAsgmggKKWKKWlksgigsoSAiEBMF9YwdLhWCpBDdAIH6njj+6pvv1cu/t +2/d0z6kjRverLAiCYCuUhP6KgmAczG+pIKgNg+B4qF0mCOqQu8RBUJ8Lglvg +R0Gr4Y+TDfqVyOehfygfBJX4tysKgsXwx6I/Dv2H6M9Cn0Q+0DYIqpC34j8A ++g77cmgDa+9DnoFuVoI9wLdC85D/hu7EPwHNh38Q+6HEGox+M3w/6Bv8r0Pe +Bn89tB35GfaxtDAIbsXnNH5bskFwKvQAe5oKFROjhN916HsSux1yMfIa5O5a +j3gTiXUY+QN0ffi2Af4EbEqQt7LGkKTX1NoXKUcp50y5k498T0K/ANv3oLeQ +z0f+QDL6f5Aj5KnI5+C/lrOv4Nu58JXQv/DV6FvRL2GNBVzY81At/GFofsI5 +CpRf5MewPYq8nNg9OP9Gzns1+zkAnYnNcnS5dBBMgG+PzTfYd4c+Jv5ubD+F ++mWco1XES7DWfdzZWdznJfg0sl4DMXrAD0K/Cd+roS/xL2W9DviPxncP1Bab +57FdiE8K/nTofeTZ2D/E2kHOZ3udb2/i38y3Btar4dutrFdMvENZ31VVG3KG +PA+5lLu8lz2VY9OI/cvoKuB/Jt7jxJrCej/CXw9tJ9YwaJdyj3wQ3SGoBr5T +7FyrRlWrR4lbBVUid4a6ol+X8J12gy9hjQ3k7lLVOPwFfFuV8hvQW9iWc21P +xGcL/HL2u4v93p3xnv/Efhz+Kfa7P3ZNq7aVozT8UXzmpnynutvz+daQ8BoX +wo8nxj7iTSFeX9VY1t/E646vxWcLexsIfc952yA/mnTNqfZOYI/tsduIfCXx +hqDfiv5aaIvqj3gTifdExmuszfnt3AY1wA+Evsf2Cugz7M8gxpqEa6pj7LMe +wf+8jM98POdfUGhMUMzhyCOzro3fuLcKfNYn/KaugC8jfiO2B7nbLuR3Kftt +QZfh22TWuwubA8hVepORa7UYuibjmu0cG4v0hvSWWrAZi+1evtUQqz/xv0Xu +BTWhO4X9nIv/NHw/g5rRT07Z5xrs3yNGz7TfQB26tvikubuXoDHsr29o4JSP +fEdh/2vKGPY78rPYt0/6Destl0SuvUqoGH5UaGx4DX0x+oBvray1kPh7kf+C +7mf9Rci7hT/CT/hq7HcS/3b20FTgN/BL6JpSbcnnb/hSvlWw1oPQmMgxFGsg ++ib0I5DzrP8C8bKxMV3YrjNvQTcsNDYJc4W9XxDjKuVG94luZujaGQxtRjcr +NPZeJ0xEvpncLik09jaT33f4nVPkelJdvY08u8i517prIr+tDey3Dn4kazan +/KZ/Ym/rY++9nvM2CCux6YH9ZdBE1v4UuQ/8lboT5ItjY7nesN7yyMjYqZyM +gP8EKsO2AnpcZwlda0/i84dqEf3lyL2hR9FND/22BkDfoTuMfEvaZ9FbGZd1 +jau2T+ZsJ6J/MWnMKM7bR76DoBmhc6Rc3QA9FbpGVau64/HodkJD0Q2H5oTO +sXKtnvOk1uZM+1LGjCOsX8+3p9H1hBqwPYZvTyWNOX/E7unq7arZavTD8661 +d9nvLnS35V3bwuC9yKuhOdiWQsux/xrqC98fmqb8hq5l1eDJwldhArojrDGa +9Q4Xugep9wgTeoWuReVsZ2ysvbHIuRLmzg6N1Tqzzl6LzaKke94mdO9H7p06 +k862B/mOpPFFs8du5H8S/tYMPwafjvBvqGfH7k1di1yL6lHtkHsiH8wYQz5S +TeDfDZ+V8BNCn109S73rLahb2nequ30T+dkCf6uBf4BvF6Krwf5E9Trkgym/ +senEmxp6VlEOlctVkXuv1tTaO0PfRTnxhnGecuEj/k3oL4ffzpkfTvlN6G1k +8Gnbxnc0FvsM3xamjJHCSvUg9SL57MgZM4QdwtgK4QVnry3029NcV8e31pTP +sIzYv0B3Jp1T5bZD3r1Z3/Yiz4deTRnjntN8wprd086JcrMu8tsU5gp710d+ +S5r5NPuVxp4t1ePU64RBwqIJ6G8KjYnCxoeRb0a+KnbvUs9Q79Cd6m41o92D +/uzYs6Z6knqTZgrNFqrJGvhNkd+eep56n2YkzUqqkcXovo1c2+qh6qVfRcY6 +zZiaNTXDaJZRjgvhP4+MNZqBNAvpjnRXTeh7wx+b86zT+n9uN0bGGvVQ9dJL +Y89Smjk1e75Cfn8s9KzTHHuG0SwzCZs98JfFnlU1g2kWmxS6FwvzhH2roUuS +nuk0200JPZsJs4Xdj4WetYV5wr5HQvdCYZywTpgr7FWMevjq0FgijBXWrmPN +AdzvIOgT5Zr6WQZ1Yc9doRWR345mDM0aZ4euZdXEYuznZj3DaXaTjzBcWK6Y +jbFnTM2amtFex7dT1msotnq0MEXYopmmgHwciTwLqAZVi/rPoP8OM5H3w/8Q +GTuFIR2Qd0TGWs2Emg1355xb9Wz17l6x767k//8GugPdhXpyK3JZ3rOm3lzv +vLGjLutZURiinqHeof9Qg7H/N3Ita8bXrH9P3rnTDJFG15LzXoXhwnJhhrBD +M/z40P8x9F9DGFCG7lDk/z6aiTQbHY38NoQxwpr/AMTs8d8= + "]], + + PolygonBox[{{3363, 2935, 2819, 1382, 3780}, {3783, 1384, 3059, + 2455, 3371}}]}]}, { + EdgeForm[], + GrayLevel[0.8541408278258557], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmHmQlsURxt9dXL9d9j3WKKCkEjD5J2KVKAgsIhGRqMgqy3IqqByLCeAB +GBHEKId47AqL4BWJooiJmsihlBH9I8rhidw3qBxaJkaqTJmUKTWa50c/qfwx +3/Q3b09PT0/30z1z+tibGm4sT5LkEv20Uj9U/fqyJGkSff+JSdKsdr3+X1aT +JDMqk6S/+jlpkryvsY1ZkhypTpKBahVVSfJbjR/Q+AN5kiwqkuRWydqssZYT +Yy5yupeSpJtaQ0WSnCK+68WzQTyfa2yfFOginkJyJ6vfJhmTxbNE9LXi+Uq8 +f1U7W//rxT9Q7THRr+hbD42XiXeW9PtWa81W/2eNn6Xx7ySvvcamqtWJ/zGN +H1S/SPxtpPc3lSF3n8Ywxh+19/2ibxL9J9GHRN8i+kXRd6GT6LckY04RPG+K +nlXE3I22ATwviH+hxqeJfl/jh8uCfknjA0QvEN1ZfR/pcVR7b5SeV7ZOkjNk +zwOV8f0Z8+zQ2FlqhzS+KQ19hkv2q6L7iD4hD1tj871FrMdaI0TfIpkjq2Ov +n8ju87RWIZnna2y8vn0mmetEXyL6ddEXya591ZrE873GnlbrqXk/0byL1NZI +/0at16zvDVpnvb6Xq9Vq7ufaw2NaZ43sf5lk9FdbJL5Py2MuZ3d1q5CFHM50 +dauwf63m3qXvPdQflT57JedYKfTrI3pDKXjbVQV/D+nw0gnyJ/V/lx7Pim+C +1n1Z9Bn6/o3k3C05z4i/VvoPbRVrs+4b4rlMPD/Q3I4aa1K7QWtP0P/F6q9k +X5r7juYu0LqD8Vm1pfiCeJ5UP048P8pi7gWi18kG34u/e2Xsgb3UaXyI5EzV +t7Qq9o0Op6ut0LdCOvxDvGdmsbe3JHuNxjtq/OssYmWodd4mOTskY6PGzlfr +pTZXa6wWfzvx/0v8e/T/BtHPib9JvDdoTlv1i9TmSIclrcIW70nHFvFtUv+X +yog9zn6TaeLxddPoig74bzfbvGcevk/MECPoyzl3F70hj3V+moW/4svLhAGl +qjgj7HyP9Hq6KvRgP4fMczNxK7pSc+eJp1/r0I9vO9WfrX6aeE6WjHO072s1 +d3QpYuANjY0pBXatM3276LHqx5XivPELMKNfEmN8Y94rateY/xxwrxRrgYHz +1YaUBxYuMB6eXh64xH4Za/H4NPsGPoJe6Pc/2dA3in+t/0OfWh7+9rMk9B1r +HQ4pbr+QDS9Ow2c4g5qysB3rPSqeVbLDabLRj2Wr98T3a8kaVoSMMd7Xh2o3 +a3wVeF4ED7xNRYy/i9/mgTPr1b+j/1NFD9H3SyR/umx+qfoe6r+uDNzCvyer +tSmLmJ+i1lb0R2Uhf7XW2lsW2P686Lsla4rot4270Cs0fm8Ra7HmB2VBr0wi +tsFkMGOa9jeqOmJ+QRG4B/6BYWtaRez2kT2O2D7nat9dS4Gnh9WOGXPovzA9 +O48zuF1ylmvuMsdCcx5+c2caZ44fcu4Ttf+bNH5GFusc9lqc5zU+X/Sttc7k +GTALvMK+2HloEftn74OLyB/kiIYizvewdZuaha7npYGXyCP2wUFyLHG5xPZa +nAemEN/kCmzUxtj4Wha5vK903yX6OvKF8y0Ywbn08HlyjrelsY/2hfFO356W +DbZobiP655GfsGvHPGqEYeXhh/dq7lb936zvm9TG4T/ieSgPn5hfhE/gi/jh +L1pHbBPXy6sCo8GkNzV3LH6YRo4k75Jzt2t8PL4teY+mkZsXit5WFvvCl/DB +9vbDDtLxx85x1Vq7k3h6yw4Pp+GXCzR3eBbYNkL9BfpWK57bNL6iFPFP7IP5 +4AVYsa8qchLnsE30x9WRk87T3JPE01NyHpT83ZJ/SHR9Gvnzb+TJLOSQlw6L +nih6JPm6LGxFvQGWdPJa4Fx3Y91krTGzOmoabIE9sSX11xjHFz7LWYN7zOnu +2MT/8Bdqqp7SMxfPpXnEbg/z4F+1ttuZstUA/b9QvLvFN0Nn8u8i/I5cgKwP +pf8E8VyFP2g/f9C8tuIZk0ZubC16u/pfOpb3ZkGPEP8Ojf/KWPRqFrG1Lg2M +HWL9+zjno3t5ETh7vvSZK5+ZXh05cmdZ6IAd3snCDoPzwEhyFL7zcB7+0yIZ +d6Vh67ez8NPxrs3u1vgW/X9P44/kMfcB8T+Yh682g1viWSn61CJ4G10T3p/G +PndmEYfE433iaUrDL7dp/EAW+70yj9oQ3+OsF6Rhiz36fnUa+ahMc4enkUO/ +xD+1/xGlqF9/rv13Vn9rHrXYseqox+AZVoozqKsIn/+95JeJJ2kdZ0xtSp4e +JPkDK8JG2Odq53T+zzOOEi+HXZvVGO/AvT6Sscf+sNu6oVeD5FzcOmpH/AMc +Iu+DRcTBJNe6S137YuMn0jgXzufxNPwZnOhgHchv9B2szzit+bHa5WpHxP+U +1hldEzUX9QT8v0vjvDg3clRqPPxOes2sCizjjgH2DSyiRuc86kXXZ4FlXSVz +pPZ1VSnO+w7JWkXuTMOu6APWTbedoa+oiHoaPT/ROo1VgUHTNfdZsIk8koWt +uIuQf77y/aWTxk8hl7pe6Gx7LhLfLv3/QN/bFTHO+VPvEb/6nMzUtxriS39u +y6KGpJZc7LqEmgS8A0+mSv67VVHLguvU9vC3F89DaeSCBsnoI/4LNT4rj7tV +R8sBC8CEuRr/Zx71Sq+aqG1PspzZWdSf1KHU/NDUM8Qt+kzSvHuzkElty73h +VPN8locccPRa13HURSuzoLnfcC7c70Zr/JE0as4W27jW49uroj6mlmw2hp+D +b2QxlzsivrC9OvxhrOtBaq21WdDcCRamgS/7szj/C60PPniF/fC0ItYlb5Bf +wd750ueHRfBjS2rbDdVR32Iv9nud644BXne+60vqxjE1UYccTaPOZBw8BJvA +nXlpYN4u4z93b3LA7DRyIFhEHiSmuQMedo7fbMwB+6DnpvF/i+v2zcbEe3yn +/Mg5lxriU/sq9T73ZvLIc849yGY+c8HSLzV/tHTeIxt0ce1MfuEOesiYXJuH +jG5p1GgrS8HLervNg9w9XqfB95mT89B5r9clf0PfWcSe2Tu55jdp1LydND7R ++f14ntf/wTq3F/PA/m3Wuc57Iw5XWJ+Tnbt2WCb4jvzmNHxqhXnAd+Tcl4Yd +9tnOxCWxQZzWVwTmgoML/JYCbrT3O0Rb5196arwprsXAcHLkB9aBtxJ40POp +IvRYWkR9MsQ1yhDfUcnB2/VtlHi2FlF/UIcMSiOvkF9GpBHjgxzn4A93W2qP +BsuBBu/BO+q8icZ0zqqDcZq9jHVNPE79V0Xw9s4jn5HXrnF+G2iZy3y3IjYP +pHHv4P7R4rsVcv9ThI255y3xXLCIvt70gFJgDfuZYSwAdxkbYAziW3/z9zc/ +mDPIctBrsXkYB1M4x9lFvGHxjjOviDM46PjaJ50vkJ6rNd5YEfmps8+Sc1rj +cx9UETl0dR70Knw/jTME+3kHwyeJVXyk3vyMHX8bK4uaCV/cnUXtTpzvEN2i +uQtL8UZGzFE7c38hlw+0HGqizY4Xak3O7yPX1+87vkbl8VZwNAvfa7FMatIt +9mfqKmS9BUam8d5wKI8z5qwHZZHzOUdyLjmGewP6sG/uZujDfQC572aRa8m5 +s9LAR+bAj13rHS/4L3sceWI0dCMuwI1zHYPUYluNY2AqdTC4evyuwj5dY4IJ +YOkwx//WLO5kxBdxRh1GvM/3HfpDY2yHPOzBeyT5gLzQQj2Qh45HsojjDa6x +2Tf5Bx/nLnvQ8cs7I/Q9xqsDxp/nU/tPTdxnuNfMFc8befjWy/a9HdaTOfu9 +X/Tb5XjkvkFsLvadcr/lj3O+wj9X5JG/XsijVrzcdcvlzmvQ1KnUq/sk74k8 +aszH86h36szDmbT4XLgDkJMOZrEGPJwRd9wDjhf03ml7TrKvg/PUN+j/QBo5 +YIVzBnJZj7oTXXZ676w5xdjI3rZZPjLwbexA7UbOJl/f77s8d/rXisCbJ4uQ +DaYh/yLXusfv3b6vc568V+30m9ObedRsG/PID13te9ybO1sfzn2Z642N5v82 +jXPlDF53rLAumEkeWG/8bGNZyKF2WGv9qUdesT9/7bdg+Pq6hqPuavZ/aO4n +1K1Tte54v83yRgtvP9d83NO4K4z33bSvca+fZTYZx+qca4jpRvsPdfdy75Ga +FLylXuWdaZ3ja4rf6nmzp+ZiLWqziX5T5W2VN0vyIzqDI+DJAL9hr/Tekc29 +BvmdnJ/IHdRcqyyTmnqpdSDfE+N3+D7KXHiwcbPrqMF+Z+SsaMuNUcv9n31R +lxDHE7LIr+TZ74p4Z2ry/YQznGH/wX7YGRtSW4DdLzle8GPO9E7fI7hPjLJ/ +M3erc/SkmojBOtuZHLfE+2Ufz3q/2AzbUVc0G2OIF/L1k7YDsYlMMIt3HPxn +ZhpxMdI26V2KuwR2J0c2WX/umsNL/7ffcNv/mN8QNljGKNfiyOjtOwn7u8ry +22Zxn2yXBe9I36dWmofz5c1srX2b9+AW5/05ro95n+Pdcb5rY/Ih7+Dk1l7W +HzvwFtXVuEAOx8fI9cf9wvpzJuRaZPA2wbexrj+7eC6xMdc+yTrwk5f5Bg8x +Sl3dzeMrjVddbMdejkHuMc2Wg27M5yz+C+yTgRo= + "]], + PolygonBox[CompressedData[" +1:eJwtlntMl2UUxx9+ir+L74XSpLs6c2U2m64Jtpq0mZq2BEXFZQV4KVFDMFG0 +EkEFEUSxq5fUpst1U7NV5h95K6dpKpiIWgroPza2WjWbmvX57vDH2XvO8z3n +POd9nnN5eucXjn014pz7FOoMzUhxbnvMuWjcuQr4zaFzA5OgLs5tgX+EtSlR +5/az9obnXD60CX4ATmp9585i19rVuWS+7eiNxWYO2Hl03kc3C7kQ+Rzye8jj +kIuQLyCvQ94X4D/ZuanQfvivQuO3yQf4fNYehd+Mfgl8FntOQD6InAk/BLoN +eSlyOvw0bD6CT2NtA3I/4s+J2tpUsBehdfD9wFeCTyXungnnijmDu6Fa9hgP +dgCdGvj/9H/gc8AGQ8XY7wDLQGcH9gORuyE/xh492SuCbhtUhG46NIb/mYXu +WXTeQXcR9A38KNb2YN8fm9yorS0EK2PPp8B2Ii+Gnwn1Rl6LXAB/hHhucd7j +8L0KuzLPzkIx78XfZ/irYP9dnfCN/DeUCjYa3b5gG/CRzvnmcr9/YtsKPhP8 +DD7eQk5CpxZsAf5HwA9lrRpfX0ID0F3s2dmMxqY//3YOOQP9LHzuwvdcz2JP +B78LvCIw3T2slcOfZW0+8jj0m+Gns3an7gJ8GvzrnunqDO4B3x2YbnfWBoHt +Ym1oF4v5frCHiXFy1O6kCHwb51PJ+fwYs//sHNhd6Yx11gcDy631/M8h+FT+ +aRn8FXQ/wf4icgH4z/irR77lW64rh5RLmeyvAmoGf1fnFViuKQbFsoC9S6DU +uN3BDd9yLRv8IfDBgf3LboovDb5Y/6B4FD/8GGyHc3/7YlZTGexRCFZKfE3g +tweWO6pJ1eYIdO/F5ljMbKajvz3JaiaVWK+zfy/4LPQfRP+f0Hyphq7B50Al +8C3YbMJ2I/6HJNvZKVcqWTup2kHnBL5WIJ/SXSE3ILchf8i+W7mTKP6XIB8H +zwf/AbwC+SfkPOQjyI54C/mv69ikQc8T+zDoBvwdrE9Bp7WT5ZRyaxl0Avsp +2B8Dq0M+jfyK+gNyLXIj8suqMeQG5LqIxZRHPCuRG8Cn607BH2CvAwmr5dPQ +KfUr8Mns1wA/JLC7GaQchl/rWW0oJ1qwn+Eb1kyMBfBrPMuVGeC/Ivdhz2Gc +dbX6E1hTaLWmmBSb/vVgwnqD/rkNm9lgTei/DT4c+h3f7VAxWDb2xeC/gK/3 +rMeo17TpjIhvB5SZbDXRDH4I/0fj1htUAzm+xfodfCm2l8GbO3p1Bt/ZyPVx +q4cecetdV+LWC9XDHvcslhYoT+eLfgP491HrQX18sy3H7osUmyGaJeoZ9/mW +88p9zYw8fE3Gfl7C7lo10hv8SfAK9UTPcvnphMV7rCNm8TehMp2tenHcZK2r +NyclLJfUo9ux3xq3/FUeHw6sDq8pH+FzOc/LyTZzPvas5lX7z0Gfg49Msd43 +i3j6+lYzqh3NjBc8y91s9vA6clg9Vb21HnwieAybr2PWQ9VLD7CWHbG1ucjF +xFodt7OWj4nEMw/8EvYfoJuLzpaYzeC9YBOg18AvIm/0rAerF6tn9VBv6Wo5 +rVw+Dz3r2SxMwWYR+Eue9RbNkAi+mn2rHdXMKrCbnp2Ncu4S+MLAerd6SKlm +s2ezVz2qa2g1rlpXjK1gI9EJInaHukvliHJFNZyveRTY2erMdfbjobmqFXxu +wP4ZbErxVYfPCPwkz2adZsJf2PYKLNdVoz3hczw7a/W0Kt/uSHclH6N0F57l +Ugi+ECzLs1rUDFyCvDOwWaWaUe1o9j/B+V2N2RtgZor1AvXcAvWP0GLVHdTA +Lwmt9+tNUw7f6FtvUU+sZq/Foc16zYgyzb/Q3j56Ey0N7R/1r3pz/ab5Etpb +S2+If+G7BdYL9GboDj+N+E7FrVYV4xnfep16Wg32a0Lr3Zqp9fB1oeWSevpq ++Au+9Sb1zNXov+nZW045+a1mX2hvNb3JlsOvCK3X6I6q4WtDyz3l6Cr4sZ7N +ar25rhLfUd96s3r8UrDDvvV6zYBy9WbibuR8L8WsZ/zh292oR6pXnvRtlmjG +VCm/0Z2UsFyWzXG/Y/aALwevDO3tqJ5YBf8/wClw1g== + "]], + + PolygonBox[{{3358, 2841, 2815, 1337, 3742}, {4225, 2300, 2939, + 2458, 3564}}]}]}, { + EdgeForm[], + GrayLevel[1.], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmGuMVdUVx/c87rl3mHPPGV7ODAPDU6vjeyAV7Qf5UmKMpYL4KElT0Wgi +YrXO0AariFKtFm3FpLZaRJp+aEm0Jq2jqAXFR9W2ivhgVFAGKdPwaIqtiYDa +9v9z/Sd+2Hevu8/ae6+91n899p562bULvtuYUurUT5P6TxtS+oZap9pMDcxS +u1Pf+tT3q/1WPH8YldI/WlKaWIuxZWp3iOd1jXeoXajxnZ4D/5wipS3NKU1u +S+n6hhj/ncYPief3oofU78hS2i+enhT7LvWai0wjwwtau1ntrFrsyd6s97bm +bBJdV99reRhfWk3pbNHPa/ypWsjAekMa36V2vuhRGq9UUlqcYp9F3veg9ulR +u1XfD2rhpZp7i+Sf3xTzHhD/++Jb0BRnZZ853ov/883zUhb0/Sn6BaY5M/y7 +GqMxf5vGH28MnQ+ILlpT+lgy3CsZlkiGYY1fpb5oCj54bszibMh9m2ySNGeN +/p+r8d4s+A6p/5dai87ZrTZKZ5+kfq3mPNEY9t7cFDrsQod5Sgv1/Y9F8LWI +fwUYkSzb1C6qhe04w3M+yy7TK7XGB41h9yONIfOw1n9D/dekw9Up9LvOPI9q +rUc8h/2P2I78f9886Gx+05eYogc/rZxF7VrRN2XBx5wTJeM/1VZp7U987uvE +82Ee563KjndLVxeJ5x7NWVdE362Nf1gPGc7Lw+bo/jPJf0D0oDEKxmYaJ/sa +Q4/osC493afvG7VXXgv5rjUGdhtvYA8afdAPefxwFrLmlbBv3Wteo+8D1cBy +oW91tZtS+M1j2uuw9p8nvsf0fYIxD93hsQGPjytCtrFF2JN9VozYqCFwi24e +Nx6GvTfjzehAc7+eov/U9Ktqp2id19Tvk+xHNT5X9HAWPGeIPk94vEZ6bpS+ +zyhC5q8WcWZ88K4UGINebf/tawhsv6x1tltXG6pBv+l5Q+afoL5L7ZkUOqxb +5wsl85lqM7XWiizwUWsKXxhlf+9vCD2z12+aA7vrfH7GiYHg8BHjapbtDj/f +C9MHtWaz1rwgRUzqc/xBl4XtuF/nH5AepkmmxW2BmTeEsfPrcab59Tj3F/O0 +zux6+OSZ9diz13sRj/Bv4nS3z/eCxp+uh3+t1JoDzWFXsHGV9lyi9j/xFrXA +EPgBH7PwS2KOvh+QfNP1fVj9FWpdtZCn12cBS+CMeeyPvyDDslrkAb6hu5WO ++Ulj/zYG2rX+1lFhE2yIXTnz6ZLlNLVnHRvxE3AxSTynepy8sFPtBOMBHuLn +rUWcZZX6m4vwtZXqX8mCD57v63+jxn+gfnkRcf6GItaAB1yBXWTY6vVfsWxv +V0IGcLW9ErIiT+54iA7Hqj9W/59OEWOIsZeJnlwEnqaob/I4eBst/un6/1SK +2NQ/EluywBD4AUfQzEuV+Mb4y2oz9P+VFPg95LjG/jO85lfUH2d52POQ933d +fPBsrYQMTyJnNc61RfQxontE/5W83Bx6Jxf/XW03OU1tD7Eem6SIgztsl8k6 +x3spsLTT/INqf1M7qRJxYtjjL6bI19vVJqq91RS8T3gu9J+9x5B595ou/P0d +89+lgcla/24+CLMzJMcHIjc3hx3BwJhq6AS9fa+I+HW9+rZq6A29dlRDTuQd +J/p40X9xbDnF8neL7jVOZlaCRm/Has8PU5yfHI5/kMenVCMnvp4iX6Ij/G1i +NfAG7q6QHAclz5VFxDPwSEwjDxDLiGP4d7t9/HLxvud8yjxyEvpfW0QeelD9 +9ix0hm6XtwX/JfXIXfCT3z+vxnzmjq8Gbv5ku+/NwmfR13HWw7ZK8IAr/h9v +nJxQCZq507OoCagBjnqd2SlixD7HVHSBTtDPkOMT+YX+iOmrKlEz8P9oNWIg +MmNP7IpvXtocuAED5Ny8Gv+pWciLyLHSZ0cHc1xjPj+CvSzWfEv8J6tt9tig +x7Ep+epD+zv2oH7AH8lzc31GaPJgk/10oejXRE+tRA3QoH5/FvPQV48xtsNy +UOeU1eDHH/HLaabxgSmiX0rRphmr5LfDrhPIX33GB+c+7JqsxTKDnzdFn6i2 +Cf+shM2wF2M9Hp9dRM44swi/Rhfgh7x6smNgezXmwo9th40T8vywc/9u+zn+ +uaSI+H91Eb671z7fWY290flHzRHbD1mX+63P3Y47L9rv99j3keUkz11hPODj +7L/XMmDD7a7TyCXUF9Th1L0bnfuoJciV+NuJZYzfnEf9iV3AAJgCW9ix1RiD +7hL/o+K/MQ/sEy/QZ5dzILXW+Cx8Bn/B5/bb17Ddo65PqLXOdX0+6D2w+T1a +f4rGf1ZGrUCOfzdFXv12FvXIG2XQ28rAWHLtgSzjLQ92Oeo6DTtOcIzb5dp/ +pO6iBoSmNqzbj2icF7nIxRMdB8kX3Y5fU6sR44iD4LTV+kEn5BLw3p4F5pBn +wHUp9ekDeYxfIPnX5ZFfLy4D/2OyyFMP5pGDL9L4r/LA8ULRD4keFH1JGbxj +zY8fFdWQ5f489L9APD9SGyeeVWXEM/IBdimz8NWNtnWrz7s2j7hwIfrPIq49 +51iIfol/+GvpvYhlHa6jHqpGzUx8Jq9iR3LEvV5rjW071ePUkP0jd+1K8Dxn +v+cs+D15e6xzFbKPtfw/zyMO7qkHL/I86ThRmJ6o9SZl4b+n237YDhtCIwM1 +TncWtQ15EP/c7FxA/ieGfyK5l5OTysAa8Y9YB66JE/CRH8Y712J/4gWxApxw +tpG8wHpznTvanWuprXf6rrfMtS53qx6vxTq/LuM+u74MHHdYTvyHcd4HuE+9 +5LqOWNFlzBNvOl3fgOMJvi9wP+h0/CSGcybqtyVtcS+9ui34wT/5uisLbLDv +SV7nVccWfGm1YxfxDyx1ZoHbTfYvMAfesMnbjqs9Pgt54TTvhS3A+EzXGCM2 +o/bg7t7tOPbTMmx3dxn+/kAlYjL4bMsCA/Nc54NR8uDZfnPAb6gL8Z1er7/F +NH49kquhsR37TDZOGJvqcWL4Idf5i3x/usP2JO5yTye3kNeP+C51QyXuYqyH +7z9rHE6qfqnvSdYDvjJoPQwWMXdOHnljh3PHkHMLsZv1a76vbfV5OAt3GGTh +bvV5Ge8m/1U/uhY1JLab6bjW6xw+xfHhl3noar74G8vQ83fy0PFo63mp74bg +sN/4Bc/U8geyL+8B9GDsgOsCMHe17kbn6J5MDYtci7wOOWWZ8wr3BO4L5Bfe +JFb57sBbBrlkj+Tpq8X9kJprlt+IWIe6eJrzCFigFiVe8Z/8Qm3JmbizYUdi +DfXxU44n0CP3D2IQteF9ecTPb5bxfbT50WW39QlWW5xvuIc1OE9Va/EfmpzP +OHmKeo03F87FvFG+Z/He12df5d5JPckZuc9xX1psXz7LPNyruV8PlqFL3v3A +JXfPDa6zidPE6wnW7UOO28zvd0zgvZK5p+fBT+6ihtxr3M22/PtsSzD5kXM9 +fgY/fkcd9NHIXdg1Gzjs814DPvtnfndZU4kanXWWu84B09xtZtiO3NWP9b0L +e043jT0v9LvA7cLVitbQ6cW1uH8zzvtWf3PUn3dWos6m5mHexea5pBb3li/u +LLX4D803dM055vkb4+RuMABehpojN1Gfd8oGD2usLw9bNdlexP+OLGIjfafp +O8r4/2P1P1GbQGwvI353OIY/XUbtdGlb1HH4MHgj5k90viPmM5dYfVcZ46u9 +XpfH/5P7/a6Iepoan3qIc7T5LNRv6Aj9tNh3r7MdsSG+c6trkVvU7y+Cf0Ee +NseW2PHjIuhv5WFL3qOIUSvLiCM3q/9FHvfz88uwOTXuCO8K32cX+D80tcAY +1wbEIeYSi97V/MX6/476VrX1Gr88D4x/5hq1z3ECvG+ohE/ij7wttLhGLawD +6pBW1zvUqNzPuIuCVepZ3jrhXy+8DQtvc1vC5rytY2v25w0RH6fW5h0Kvyae +dTmmUQsc43pgwHUU46c6Zz/jGuOYLOpJajrqbGqh28sYv62MGjt3fmwv42xX +5lFHjTM/ONzg+EN9t9h3V9Zo9/rEpPWOS+jkYeOWGmec65z/AyriHsk= + "]], + PolygonBox[CompressedData[" +1:eJwllltslUUUhcf29HAu//n/g6Clgi0FiYHGGCAIFVH0QYmSiBVoTTSCXBKo +N64KElqooAiFtgoqQsH4RKLWIIiRSGKCd4W2IKgPxIBihJp4IREvqN/Kelg5 +e/17z8yePXvWnOqHHqt7tCSE0AFSYEEhhLOl/JaFMC4KYWccwk8EtPGtE7se +/5yUYxZidxGzFP4n/Cn4KPAm9nTGj8F3MglhR6nn+B3eDCYSv6dfCGOLIYwk +/g38XRnmgyfwZvhrxFSx3tTIc78PxuMrzYVwGNxIfC0YQMw2Yo/jr8P/JfHV +6RCGgjbW3giGYF9HPi8QuyWxbzR8G7wVXgm/Hr4V/gXjq9L+thnfZ/DB2FeB +5+CfwiuwB4Fn4RsS+2oY/zzjj+AfDh8GOvDtBmOw7wQHsXdpTIm/vYrdnjh2 +LONfZPxkahCxry74YHyfM9/Vae9hE/yZxGuPxN8Ru4aq5TH2P4393wbvn3GN +D8I3E1NN7BHtN/IYje0F2+Fb4MOxj2p9eBt8BHY3eAneDr8Wuwe8HHmP2usx +8Erkmqq2x8GOyDVULb8CO+EXyXcF+WbI7wS+f+Gr0q6BaqEz09nNIt+tkc9E +Z3MCdEauiWpzEuyC38r+Yvb3LryG8Y/QC3flQzhN75Zk6Qv8f1GPDfjPMfYw +Y5K0e2Qg/GvGzE77jHRWykm5rdQa2JUF9/pM5n2r6Dugu7Cf8RPwvx27t38h +/72xIVtzfsPckyPPpZ5Wb9dFzuU84+cSuyry2RbAGngPYx5Iu+fV+93wUyX+ +1ou9hPjXic2B1cQ3Rd57JdgInwPfjX0ZWAafRM6pjL/lGb8c/l7GNb8Ef5D4 +7fj+Jp/Hif8Q3h9fUTngXwMuT7sn1BtNiX3qIfXSzczXj/n2wMvx3QLPZZxj +BfwT5isn/kqwHj4R/yXOox3/BcavS+xTT6m37ovs+5V8FsA/hl+BfyB4mtiW +xLZ6Ur35Ef4Baee4Ft9NzB8y3lMJfH7k3FLgSeLnUtNO6vkB80+GL6FHpubd +KyMYt4/x6znrh/H3EXs0Z42RtkwHPdiLia3Cnpmx/Q7fhmf8LTBXa9Y90w4/ +n/Uamlsx+4ldBK/EHgZ+gO8FQ7CXgV7s8pzXqgd3MF8jPDDmFD/HsCtyXrsB +HMA+l/Vc12Tc+7v5dnvWd+B77LPYg/EtBRfgNaAFuwMMja2tqolqMwrfuqxz +Xwsai9Zi9aB6cRzxF7H3MWY89pqia/Ut+23GviG2T5ov7R8dudbqOfXeJPyH +UtaAP5hvXtY10N6VYwq7WTXLWNN/znkPyl05zypaOw+Qw2nmXs1+47z3ojwG +5VxD1W4G+DHrmqlWqrFq352zT2egtfpy3qvWXJhzzVXr/zLuGfVOGVgR+47q +rsZgLfY9BWut9qS9tYKqMmuutHdmYu2TZku76xNrmd4UvS0zEmul3hS9LS2x +55amSdtqmf9QqTVMWtaMP1/mN0Fvw2L4Pynfcd31J+AlZb6TupsrY+euO6m7 +2Qj/LeU7orsyH96X8p3U3WxIrK16M/V2SkOkJZpzubQusdbrzdPbd3fit0Sa +Km1tKLgX9J9A/w10h3WXtebC2BolrVKNNsXWHGmP9rAotqZJ27THptgaKa1U +jvOwz0Q+e/2HmF30fwD9F1CNJmDfm/gtk+ZIe84U/JZ8B+7XeSV+y6QZ0o5p +id86aZ60rza2tqvH1et1id86aZC0aEred053TXfyf9HZI2U= + "]]}]}}, {{}, {}, + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwVzzsvg3EYhvGHxeBQm4hEGcUkBsdSZgPdTA6tJtrEMeoYLUZ8A8dPwN4v +QQfd2awkLMTPcOV+nuu533/y9i6vZ9YaIiKLh5aIw9aIGTkkhzGC0faI97aI +DJ+TK8hjjP+U8/yqLKCIcb4xEbHAb9g3sYUU38xn+R17CbuY4Dv4PL9n38cB +JvlOfps/tpdRQZrv4o/4E/spzjDF9/Nl/tx+gUtM81X/UeEHzbPmOaTcvvS/ +8WKu/7+t0+dW0Cviya2GZyT4pE4Pcua0TOoM+KYkf3R+cYt73KGKRbdXnSb5 +JpdkTdbdPuSVd65xg27vPrr/ATibNGE= + "]], + LineBox[CompressedData[" +1:eJwV0Lkyw2EYhfFXb5vhBrRKM4KrQCz5F6l0FFGriF1CNpKIJbkHXIKdqKNO +6yL8UjzznHO+ma94pza207mhiEiQHY3oj0TUhyPSPKFP4llfHItocEnflffw +oi9xk8v2vLyPV32Zr7liP5AP8Tb4l1tctR/Jx3jXV/iGa/YT+RQf+irf8qX9 +TC7gU1/jO76yF+VzfOnrfM91+4Vcwree4TY37GW5gq6ecIeb9qpcw4/e4188 +2B8xY5t2k5Q8h1ksYH6QvW1620IGCXbG3Qh5/OlP/A9ynzTB + "]]}, "0.8999999999999999`"], + Annotation[#, 0.8999999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwV0DlSAlEUBdBn7rQCq4zdgQswtsQJjYRcq9wBIIOCOG7DUtdgAYrzhIgT +sg4DTwe3Tt/7f3fQk5mNufWhiJiVi+GI5khEjg3m2WJqNOKKBf2SW2xz3n7D +on7NEm+5YL9nWb9jhQ9ctD9xW3/kDp+5ZH9lVX9hjR0u27vc1d9Y5zvT9g/u +6T3u85Mr9m8e6F885A9X7b880vs85oAT9vMx39RPPZ8lXXp61nlG1mRa3+RM +8r77f8n/ca8pLZlydjIe8Q++3zku + "]], + LineBox[CompressedData[" +1:eJwV0L8ug2EYhvHnE4OIfzGUSAxN06CE2dQRtWBhIdUwWAi2ColYJNIzcARE +hUjRSctZWKxiErGQiF+HO9f9PNf7vW/ypUs7S9tJRBRlui9iticijYWuiDd9 +HsvdEVX8xAy3oL9zi3hsd4PfmOWW9S9uBU/t7vAHR7hVPemNWMMzuxr+4ii3 +rndyJazY3eMfjnEbeorbxHO7h9Y93shxu/ogt4fXXB3buXGurA9xB/jINbCf +m+AO9Rx3hHWuifv2HXqCM61/IVlzAeekTT6c28ITGeby5klMyYBcmqveuJKi ++y/MU84+mRtSs3u1a+rP8iIZ39068w9MMTHM + "]]}, "0.8099999999999999`"], + Annotation[#, 0.8099999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwVz8tNAlEUgOGDokh8F6AJFdCLdqDxkWAgstZC1BZQdmoFPqAEFTbigCYq +iKwQ+Wbx5c89c09yp7BT2SpnImKb7FLE80rEC0+0abG7GtHRN17pkrBn/qXf +fDKgz775n04YE87/WtJ5csyRZ4Ejxst2OOOCc8rpnobdml5xScV8xmyWa+db +blh3/vFtyIARvyT+61Eb3PHAPU2O17zJ7qLmtKpd9w/1XfPa0wMt6mY6d29D +PzShx0m6p6daZwqSXDmx + "]], + + LineBox[{3966, 3885, 3886, 3884, 3888, 3887, 3090, 3890, 3891, + 3889, 3893, 3892, 3091, 3895, 3896, 3894, 3898, 3897, 3092, + 3900, 3901, 3899, 3903, 3902, 3093, 3905, 3906, 3904, 3908, + 3907, 3094, 3910, 3911, 3909, 3913, 3912, 3095, 3915, 3916, + 3914, 3918, 3917, 3096, 3517, 3518, 3516, 3520, 3519, 3097, + 3522, 3523, 3521, 3524, 4117, 4119, 4118, 3098, 4013, 4014, + 4012, 4016, 4015, 3120, 4190, 3296, 4102, 3297, 4191, 3295, + 4074, 3328, 4072, 3327, 4073, 4261}]}, "0.72`"], + Annotation[#, 0.72, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3089, 3868, 3869, 3716, 3952, 3106, 3953, 3870, 3871, + 3717, 3954, 3107, 3955, 3872, 3873, 3718, 3956, 3108, 3957, + 3874, 3875, 3719, 3958, 3109, 3959, 3876, 3877, 3720, 3960, + 3110, 3961, 3878, 3879, 3721, 3962, 3111, 3963, 3880, 3881, + 3722, 3964, 3112, 3965, 4243, 3318, 4230, 3319, 4231, 3314, + 3634, 3322, 3407, 3635, 3636, 3323, 4063, 3234, 3931, 3235, + 3932, 4026, 4189, 3294, 3791, 3792, 3793, 4262}], + LineBox[CompressedData[" +1:eJwVzj0vQ2EYBuCnUZU21TY+htImulkkOjQWk4XFYjPUcAxMPYQNv4AEC/of +/BR09JFYGCxtoishLsOV+7mfc973nEaSbnQyEbFJUo54LkW80GaL2WLECG/m +dxK2qdnl6JsH7LBL3W6ML/M3HVLm7PL/d/lGlgO7Qxp2Ba7HI25YZakSsSYn +5CRTlL2z7v2mOevZ0B2jctnu07OePpRH+jEnVPSafJQt555kXV+hqxedP5cX +XLKoX8m8PJUFeSZLcp6+801ZZYYffV/ukfKqL7h72vzhf371O/2eB27d9Qc1 +bSv/ + "]]}, "0.63`"], Annotation[#, 0.63, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3245, 3449, 3145, 3380, 3381, 3382, 3655, 3456, 3151, + 3386, 3387, 3388, 3657, 3463, 3158, 3390, 3391, 3392, 3659, + 3466, 3164, 3394, 3395, 3396, 3660, 3468, 3168, 4146, 3397, + 3398, 3630, 4036, 4037, 3796, 3797, 3134, 3361, 4173, 4174, + 3993, 3995, 3994, 4045, 3610, 3611, 3424, 3647, 4124, 3117, + 4213, 4091, 4092, 3996, 3998, 3997, 4025, 4185, 4186, 4101, + 4188, 4187, 3281, 4053, 4054, 3738, 3739, 4253, 4258, 4263}], + + + LineBox[{3666, 3504, 3188, 3401, 3589, 3590, 3259, 3505, 3189, + 3402, 3591, 3592, 3260, 3506, 3190, 3403, 3593, 3594, 3261, + 3507, 3191, 3404, 3595, 3596, 3262, 3508, 3192, 3405, 3597, + 3598, 3263, 3509, 3193, 3406, 3599, 3600, 3264, 4010, 4011, + 3755, 3756, 3118, 3362, 3623, 3624, 3622, 3626, 3625, 3124, + 3431, 3432, 3413, 3414, 4216, 4223, 4250, 4275}]}, "0.54`"], + Annotation[#, 0.54, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3257, 3486, 3175, 3485, 3176, 3487, 3662, 3489, 3177, + 3488, 3178, 3490, 3663, 3492, 3179, 3491, 3180, 3493, 3664, + 3495, 3181, 3494, 3182, 3496, 3665, 3498, 3183, 3497, 3184, + 3499, 3609, 4009, 3285, 3752, 3753, 3754, 3286, 3423, 3422, + 3421, 3129, 3438, 3141, 4061, 4062, 3774, 3775, 4255, 4260, + 4279}], + + LineBox[{4152, 3654, 4128, 3143, 3800, 3144, 3448, 3244, 3568, + 4130, 3149, 3809, 3150, 3455, 3248, 3572, 4132, 3156, 3819, + 3157, 3462, 3251, 3577, 4134, 3162, 3833, 3163, 3465, 3253, + 4208, 3331, 4095, 4163, 4164, 3364, 4166, 4165, 4096, 3302, + 4198, 4226, 3356, 3133, 3373, 3347, 3348, 3241, 3751, 3750, + 3935, 3240, 4142, 3770, 3771, 4020, 4021, 3772, 3773, 4254, + 4259, 4265}]}, "0.44999999999999996`"], + Annotation[#, 0.44999999999999996`, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3074, 3652, 3653, 3445, 3447, 3446, 3937, 3566, 3567, + 3452, 3454, 3453, 3940, 3570, 3571, 3459, 3461, 3460, 3576, + 4077, 4078, 4076, 4080, 4079, 3300, 4033, 4034, 4030, 4032, + 4031, 4035, 4204, 4205, 4106, 4207, 4206, 3301, 4196, 4197, + 4104, 4195, 4194, 3115, 4122, 4123, 4121, 3558, 3556, 3557, + 4218, 4219, 4270}], + + LineBox[{3949, 3853, 3854, 3852, 3856, 3855, 3083, 3858, 3859, + 3857, 3861, 3860, 3084, 3471, 3472, 3470, 3474, 3473, 3085, + 3476, 3477, 3475, 3478, 4111, 4113, 4112, 3086, 4005, 4006, + 4004, 4008, 4007, 3116, 4181, 4182, 4100, 4184, 4183, 3292, + 4069, 4070, 4067, 4068, 4251, 4267}]}, "0.36`"], + Annotation[#, 0.36, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3080, 3829, 3830, 3692, 3943, 3102, 3944, 3831, 3832, + 3693, 3945, 3103, 3946, 4242, 3316, 4228, 3317, 4229, 3311, + 3631, 3320, 3393, 3632, 3633, 3321, 4060, 3232, 3929, 3233, + 3930, 4024, 4179, 4180, 3786, 3787, 4257, 4266}], + + LineBox[{3565, 3443, 3444, 3378, 4150, 3379, 4108, 4109, 4110, + 3073, 3651, 4144, 3329, 4075, 3330, 3643, 3309, 4046, 3310, + 3679, 3680, 3681, 3077, 3607, 3283, 4148, 3284, 3608, 3649, + 4247, 4248, 4237, 4238, 3279, 3375, 4244, 4245, 4232, 4234, + 4233, 3341, 3366, 3367, 3339, 3352, 3127, 3642, 3128, 3437, + 3436, 3628, 3627, 3346, 4065, 4066, 3784, 3785, 4256, 4280}]}, + "0.27`"], Annotation[#, 0.27, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3138, 4028, 4029, 3794, 3795, 3132, 3359, 4171, 4172, + 3987, 3989, 3988, 4044, 3605, 3606, 3420, 3646, 4120, 3113, + 4212, 4089, 4090, 3990, 3992, 3991, 4023, 4175, 4176, 4099, + 4178, 4177, 3280, 4051, 4052, 3736, 3737, 4252, 4278}], + + LineBox[{3658, 3458, 3155, 3389, 3574, 3575, 3250, 4002, 4003, + 3748, 3749, 3114, 3360, 3618, 3619, 3617, 3621, 3620, 3123, + 3429, 3430, 3411, 3412, 4215, 4222, 4273}]}, "0.18`"], + Annotation[#, 0.18, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3137, 3355, 3131, 3372, 3344, 3345, 3238, 3744, 3743, + 3933, 3236, 4141, 3764, 3765, 4018, 4019, 3766, 3767, 4264}], + + + LineBox[{3140, 3934, 3237, 3745, 3746, 3747, 3239, 3419, 3418, + 3417, 3126, 3435, 3139, 4058, 4059, 3768, 3769, 4277}]}, + "0.09`"], Annotation[#, 0.09, "Tooltip"]& ], {}, {}}}], {}}, { + DisplayFunction -> Identity, DisplayFunction -> Identity, + Ticks -> {Automatic, Automatic}, AxesOrigin -> {0., 0.}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines -> {None, None}, AxesLabel -> { + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + FrameLabel -> {{None, None}, {None, None}}, DisplayFunction -> + Identity, AspectRatio -> 1, Axes -> True, AxesLabel -> { + FormBox[ + TagBox["x", HoldForm], TraditionalForm], + FormBox[ + TagBox["y", HoldForm], TraditionalForm]}, DisplayFunction :> + Identity, FrameLabel -> {{None, None}, {None, None}}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLinesStyle -> Directive[ + GrayLevel[0.5, 0.4]], + Method -> { + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, + "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + PlotRangeClipping -> True, PlotRangePadding -> {{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, Ticks -> {Automatic, Automatic}}], + StyleBox[ + "\"max(x, y)\"", FontFamily -> "Helvetica", StripOnInput -> False]}, + "Labeled", + DisplayFunction->(GridBox[{{ + TagBox[ + ItemBox[ + PaneBox[ + TagBox[#, "SkipImageSizeLevel"], Alignment -> {Center, Baseline}, + BaselinePosition -> Baseline], DefaultBaseStyle -> "Labeled"], + "SkipImageSizeLevel"]}, { + ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, + GridBoxAlignment -> {"Columns" -> {{Center}}, "Rows" -> {{Center}}}, + AutoDelete -> False, + GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + BaselinePosition -> {1, 1}]& ), + InterpretationFunction->(RowBox[{"Labeled", "[", + RowBox[{#, ",", #2, ",", + RowBox[{"{", "}"}]}], "]"}]& )], + TemplateBox[{ + GraphicsBox[{ + GraphicsComplexBox[CompressedData[" +1:eJyMfQV4VEfUNlIo7u7a4g7FD+5SvFBcipTiTnF3K+7BCRogSJAYgRAkrhDZ +jSeboMXh39x735l/zna/7+PJ8wxn7tzR4+fM3Yqjp/YdlyVTpkwNCmXKlFFu +r9LV+udEmYx/Ouwu4Ajnv6x/Puy5v4C1xxHBAg7XKwS8TWtvEnDlDHB7rICv +ac3jBdxZGyBJwGFafykC/lObkEXA+r+XDJbrwnoAYz3qc38BYz2AsR7AWA9g +rAcw1gMY6wGM9QDGetRzeMlgeS58Xep63Nl63Nl63Nl63Nl63Nl63Nl63Nl6 +3Nl63Nl63Nl6bPHqv8+Fr8tfwFgPYKwHMNYDGOsBjPUAxnoAYz2AsR6VDl4y +WNLFf+OVu806AKvn48/Ox5+djz87H392Pv7sfPzZ+fiz8/Fn52NL1/9NF+42 +58DXARjrAYz1AMZ6AGM9gLEewFgPYKxH5UMvGSz50n/TtbsNHvFz4OsAjPUA +xnoAYz2AsR7AWA9grEfloy9txvv2PeNflBgPMMYDjPEAYzzAGA8wxlNhycf/ +mw+629Adx1t+7nzf+LoAY32AsT7AWB9grA8w1qfKoZdkTy5hfZwPcj7C6ZDj +MccDfk58XYCxPsBYH2CsDzDWp8rVl2RPzmJ9nK9zvsj5CqdLjtcc7/g58XUB +xvoAY32AsT5VT3hJ9vQGrI/LKc7nOZ/kfIbTKacjjnf8nPi6AGN9gLE+Ve95 +Sfb0IKyPy10utzjf53yT8x3OFzgdcbzj58TXBRjrU/W4l2RPr8P6uB7B5TCX +Y1wOcD7K+RznC5yOON7xc+LrUvXSl2RPT8X6/lsv4noFl8tcrr20kROcj3O+ +x/kEpyuOh/zc+Dr1+TnY0b8daLLW/oVo10X7T4wNjPf05aSxfuU46E/fJxfx +PuD/bVyMw/ux1y/a83ljnnze6jmlEa/HOP/9ntw3tFfrtzM8SSe1Hnw+UtTr +RbQNjPa8H5S8H7RDqZ6L7Bfv8f7trYP3o56bE8MXJzGOvm/OYjzAaKeepyNb +jxPDG0ebfbG3Do5nKNV6J5vnqNfn6SXao0Q9+AF/rvIJX9EeJerBP/hz1Ovr +DBTtUaJe5TfyOer1fQsT7VGiHvyJP0c9zgXtUaIe/Iw/V+tjRHu1vxijnVnA +vB78kD9Hvd5fnGiPEvWqXiefq/pdgmiPEvXgt/w56rdq80gW7VGiXtVD5HPU +V9LmkSrao0Q9+Dl/ruoHaaI9StSD//PnqnzmdOBkF89R2sNjVR7a4ilKe3iI +0h6eoeR4BDmK0h4eqXaMLZ6gtIcHqt5se84o7Z0jSnvnpOpFUs5wfs35IGB7 +fFblw16Mb7szOefK3vdifN2dyVtXm3mockjOC+05rDf3NPr1toGnaM2fkFZd +xc8G1scJIL3bIBtYO67vIcb5h9vA+rk/F+vmMNan71OMDayvB/aw2QbW1xFn +4EW8DazjY4KBF4k2sD5OEl3V+k22gfVxUqiT1q/FBtbHSRPnbA8PcK72zl2V +s66CTwBPca44fxVfXcS5cnyE3FVhJ9FexRdfNq6vmB/wQh0nUPQLWOVXAeI9 +8B30Cxh8C3iD97B/6Ffd32CBR3hPlWNhjE9FiH3BeyqfeiFg8DngmYqPcUzu +xjE5GsfwM4H1m8DkZgLD12TRL2BVTiYx/E0V/QJW5WKKeA98D/0CVuVgmnhP +pU9Psa/AD9VP6CL2FfiEenvvAc/V97yY3PJi5+dpc37oV/W7uQj+gXHQHv2q +fjgvxn88Gf9xFu+rctok2qvPHRjsJNqrdOwk6FmlQx7nkPSL5+g/E/uH9YMO +MT/QGegL/WM/sV7sC/gj92MAPyBPgTcq33Jk/MOB6SsOAg/5c8wfeA0Y7QED +3wEDnwHzfeN4hf4Bq3qD5Jv2+KK6/76iP8DoDzDmZ29fVD5uy1cxHmCMBxjj +qe+n2dg5qh1hFjD6A4z9Boz+1X1MY/pknOCnqv7/gvG3F+J9/hz8VR0vho0X +Y0NnKn8xM/5htjk3vq98X7hcwPwAY37qeGk279uTG3gfsLofcTZ0wPGW4x3H +C36u/FwwHmBOl5zuOF7YOze+T/bkGqdjToecjjie/zdexticC99ne3KT8xFO +t5yuOB1wvOZ4y/GEnzs/Fy6nVfngaqNnc70XfJ3bBajncgd8W+V7Ug9V+Z+r +sB9wbpArWq//n92AfVTnKf0ZqMe8uT8A9ZA7XC9X7fc0G71cPd8AIQfxPtd/ +VL/uJeO9/cZ7jwy7576BD1eN+uVMzm4X+8z3j5+L3t5J7JMqzX2Zvh4onqvy +1EnsA56r8tVJ4BFgnLNeujP5zONELoxP8DiEpGM8xzxUPhxhI4/1930YH/dh +8t+HnaPP/3Hf3G34vnr+CQJW5y/jDJwP4Pn/7VzcbewiLnf0foMZ/QczvhjM ++IDMN+B2FJdj2HfVHpFxLs7X1XNKE7Bqh0i5BntJ9ddFMb4mn/M4E+fbPL7O +9Vyuh3O84efM95nvC7f7uNyCvYb58bgR5+s8vs31Ih4P5nJJjS+n2cSnuV7M +47kcrzlecTzgcofHj+3xFbzP9QMeP+XnzveV27kq33K3kc88/snpltMNxyuu +L/B4Jz8Hbler43G+6m+jPwBPOB1zOuN0o+ZRpDE6eGmDJ2rcPs3Gj63KdycB +Qw6p8shdyHeVriIE/4Lc1uVhkGiPepT/nf9jZnLdzPTkOBaHchVyVV3Hdht5 +hueQx9xvxf2gWJ8ql6RfFHoDzhMw1gcY89X7MYmS+zF5vAX12A/A8PPAf4OS ++y15/IO353oSYLVe6kmAVfkK/fGk0IuAJ3q9s6H3uQm9CLC+zpvGft4R9br+ ++kDoVcATrteqdBNu9B9qrC9M1Ovvw39jYnow+DH0bfAd+IOlv1eNI8Bukf5e +8Au9PewIi9DrgFeqni3zOMHHgF/YX8Bor/fz2GjvwfiL1LdVOg2wyTtT7RIT +iz/Y5pkBj7GPertowV9UeZbE9HbbPB/gMfZZb5fA5ESCwEfgN2Duf1LxG+8n +MX+UtAdwroB5nopKD3g/ldGrN6NrLwGr9GFidAG8DLFjZ0k+jH0FH1Pz6hwE +n+T8jfNtwNyPoObtuYj+OP5xvg9YjWP5CnoFDHrV6dvPxm8PWM0DfG4jJ1T5 +Ifmn6teIEXim+h3iRXvudwfM8VPFN8S745he7SDmp56PtKNVe8+R6QkOLE/L +gfHZ7QJW8cPhf5mH7biqfYl8zufi/f95XrbzUP270P/S2PqdxLmDT+ndwW7y +t5Gb4C/g21wOgl+AT0PP4HIBMPCZ833AkFuQY5BDkEuQQ5BLoF/II8CQO7o8 +SBF8KFRrYBF8BPSk0n2AoFvMW21nYnIE/CRarAP8GXwQ+hL2S4clP1X1iBS2 +r2lMT7CIduAnap6LJzs/T6bHejG9yMPoN0KcD/ZD1WddxXPgoUrfsI/ihfzG ++YP/AD9UfS+QyVlf8R7wlb+HelUe+9N1reFTgc/gM6r9msj4VJigDxVvndm+ +Sb8e2gHm/BLzRT1g4Kc+XrA4d+yrml9hFvup40GsmAf4gr5/VwW9QJ6AD+Bc +cF7AB8gXnD/oS5VvTuJcMa5KB15C/wE9qnlsPmI/1PdkXhX2Be1Qqn7xCEHP +qh4SJfYP9MbzmrCP6j7HCH6m6x2Jgn9hXPATjAv9QJWDIWK/sB+qPeglxlf3 +XeZlAI+5Pg26UPms9Jfw99V9DbPRv9G/iu/uNniMfoAfKl91Zv50Z4Yv7swu +9BT4rtcHCXzW3zMz/cRV4AXWqcrNAMZ3ZRxFzWtKEHxa1WvNNnwR68P4gLF+ +tMf6QG+gL/TD5ThglV862chpHjdXx/MX+4dzQT8YB/jB894hH1T92SLwBusF +PwQM+4nzOVXfTBd4B72dxwdgv6A/8GG8r/K7SCb/5bzQL8bh80S/gDEvPg5g +6Bfgn9AvcN7QL0C/evtAJldkfETFO2nXQt6o+XDSjlXjgdBXQsR44Kvgf8A7 +wLDXMX/Ug49zeZ6J/QP9qnLJWegZgIGvqtyRcgT6C+gG9KbiZxrjz88Zncpx +0Q/65fNAP2oeTITdfdDnu5ztH49bcT+KpGtVH/AS+jbwCPiI8UEnwCP1/XAx +Pvik3t9+0Z++3PviffSLfVDz33i+m0WsH3IdMPiX6i9zEXwV6wPfVO1Bnl8l +/QvAZ1W+Sn8B5qn6IWTcVJ034hxm5qcCvYWIfcI5qPxV0jPORaV/FyF3uD3B +/aLQQyFn+Dmq9kyM4ENqfqO0b1EPfQP8jdt9Kj7KfHx77fT+kdeL8ZGHmyjw +CfMGfwEeAD+AX+q+RYj3wCcgv9W8TthDsP8TDTmUKM4P+hL6wXlgHFX/CBfz +Vu0UH2Pe0Hf8mZyU95fRr+q/jrKRw6pcdWDzk/Y92mHegPV5v2Txw3TRD8r/ +jufFMHqOYffAzIy+zaTKTXnPC/SoxtXlPSnVz5Ru81yNV6UL/MQ81ft3Zptx +AWMf+Lh8HMDggyo/iRN8Ut826X/R8SxN8E3Uq+2Wi3Y4P/AN8DmVv0o/mF76 +CjrR20u/NPAPz1V9MlTgu95/KIsX4J5lvCHnYhm/5nlR0v6GPAJ/BH0ABr8H +jPYogc+AsS9VDD0D/QFGO6wXcgJ0iPdVeeIo8B3ngnbqe9tt3vtvueQj9uF/ +9sNvt9FjVNhL8Al1P+z55dMFrOYNhwn5iHNX4+Nhgq9wvRXyE/NR/fieol/u +x4YcVu9dPxfPeZxA9eebhdwF3wB/QHvAqj6SbgNzOxvrwjhqXNNkMy7XG9Be +pX/bOIW9eap8MYHxJ/txCn7OODecI/RPfo6A7e2LyleTGX+Ueg+Pc6A/rpcC +xrr+W++Tdh7iYBiX64Xc74m4GN5X4zwWm/g9+INKd07MnpT//me+wN9zZfRq +sjkHwHiu5oUkCDpQ/agvbPAIsHrPKYbZsSYbuQsY73E5Cxh8BviAdQFW4ztS +DgNWv2sg5TBg6Dfq/nqwOKS816Hm/wcI/Uov/W30QjW/wcTyF0xC/9PHkzDk +Dr8Hwe858Dw+yEu9/1CBj9w+UPN6pJyHXwnr0OtlHBr6PvejAgY+6u0Rb7hs +zOu4gPVxzrD9v2OUsFNuC1j3F9wV56HjL+IViKNLWH//odgP4DvOT/Wfhovz +Bgz/BPYffFpdZzTzz0eL/dHbX2X9B4r2av6WI6P3S+I8sJ+A7clptR2/Z+xo +o7dg33lejyrPnNn9QWeWJ+or2nM+ptJTuqBjrFClYxf23FXQF+YJWD0nf6b3 +honxcN6A9fbBYr783oz6nQR7cW2TDd/S69NYf+mivT0+xb+HwuW5StcyD1iN +Z0i/gHovN1HwA9Vflsb205HZ95dEiXo1H9uL6SVezK7xFvuB5yr+eDG9w1vo +X/p4foI+AYN+oDereXm+7HsVvmI+eB/19uL4ap78C+bvfSHk2H/LwxjGn2OY +PS/va9jLcwD+2ctbUO8j2+YBYF/tnRPWa2/fsE57+4D+7J0r6Bh0yO1g1R+O +71bsF3IH/AAw+gf/0Pu/b2NXQQ5gfJw3+Kx6/tIOVfu1jZuC76vyW+bpQd5B +n+R5VtBv1bgR/Fphol71d8l2kB/wR6t+IW92b8db6AmQh4BB56o/z130D/pG +f5wPQL7o++zB8uAeG+Nw/dVB4ClgNa/WQfA59A8Y/Aj4AnkFfgFYvSfuy/i2 +r+C7PL8A+ID+8Vz9vo2v4KuqPy9FvI/xgS+q3RnI+H6AgIFvwCO0V/WLQGb/ +BAgY74OO0R7zB8ztMsAc31X/q7TH1XzUMJaPECbmo+pTCaw/aV+odlmY4Kfg ++6pd90K05/EO/j0anlehxmV87eKJPbwAjH20d872zpXvI7+Xjfe53cXPAfSg ++ql4HoynDR6rdBNoF8/s4ZV6L9s+Htg7d8D/Nz5gS/eqHfmc+Xk8WRzVV+C9 +PToFjPXboxt7dAIYeKnmy9viJY/rYd6AwX95nBH7ye/1q3HsUDvxBinfsC/6 +OP4Mr/3t+vmxfjzXx7vK/MFOAtb7vWz0s0vYW3o72BtXDHiGTR479oHLFx1e +LmCMp8oLme+O/VXXIeNv9uwInD+e83sXGA/PVTx1EXgIWOX38l4G5zOYJ/AK +MMbh8kMvZT4TYDWOi+/awG8WIubB81J5HgSnW/Vei+39J47n8GuofscYZsdI +mN+DUfMXeNzRySZPl+cd8PtLPA+W53EAVvX7OLGf9uws9X6AvI/E7R7Vr+Rj +w4+xT1wPAX5ymNt1gNV7C7Z2HuSvqnfje3fye5bgr8AjnAv4D54D5vfmuF2k +3k+NEjD2S/XnObH7Ss52/Q6c7sDn1DiBt40fgsPq/ecodr86mumZ0Tb39Lh/ +kt/LxL5zv4caZ5H3KvEc+4nn2G88V/UF6WcArPIf6XdAf6qfSfo/8T7wA3QI +PqzaAdwPtV08Bx/WS2kXwE5APZdTql1m+x0k9T6k7b0MwOBf/DtHKl+yvYeh +wrbfQVLjH7b3LlTY9jtJql5re88CMOQt9AGUqtz1EHoD6Em9XwQ94rqgF1W/ +eGCTVwq81esfCjmuxuXCmR7Mv++TxPh5CqMzSZ+qPPZhcu8xy095LPzBgFX5 +HCP4jvp94UiGF1HsXlQkWwe+7xYj8Eqlr2iRD6Lvm4R1NhXN+HA887fJfH7V +7wv/vcz3gbxBPgvwVPXTgP+jvYR1/TGB2f+PBKyvx0ucq74PvmxeMQzm3xOL +E/F2fZ8krI8v/R/gJ2q8BHI+QvAPNS/mJNOvHJkccBR4pb5vEe+DP6l5DY52 ++7XXD8//Aj2q95rChT9Itc+gV8n7Eqo/F3SSQl+1/pMFjLii6s9FfNFCW7T3 +Jaz6XZ2ZPHIW9AM+o/Lpm4Ke1HtJtvcx1LxJ2LkvmB5kG4cGfuvziRUw8An+ +KFXPQz6mzPMBrJfAl0AB6+2CxPj6PANt9CrIPewTl9OqHzXYRg/iegTXG7AO +rp+Cb3I/Mvia6p+VdgfPe+V6Nc4Z+IlzVuW3k2inym3bdqr+4sP47yOWN/ZE +1Ntrh3lWMfQErE/Vc3yEnc3jAqrfM0LoN6rfzST4uMq/Zb29djyuqt6LTWT7 +LuvttcP5qv6DGAFjPaodZWZ2V4KNvqnGdwMFPkOP0tfrz/BcwngP9fbeU/PN +44WcUuMaUi6ATiBfdDQLYnphoIDxXL2PHmijx6t6XarNvoCu1e/QyjgD6An0 +rdJLGrPr05k9lMZgL4GP+vzvCz7F846AZ3q/HgIPAat6rYN4Drml3kvZLugF +7VU7W967AV6Dz6h6SaLAU9A5v3di756WOk9nIR9VeeJpo6/iOfgbYP25/G4n +9Dy8p+bvmJmdbmb4J7+jgfNC3g7kLmD+nVzgEfJ2IHcBc/sS61D5mweTIx5s +Hols3EShJ+M81Hkks3v2Ml8D61HxyVHgC2DVnsTvtoQz/Ipg+IV7bWGi3t57 +GMeenqe39xf8HHyF6xfAU6yHx1W5fq73a2sXYl+5/gy7j9uBOEd+X1Ofh4T5 +PSp7dow2/P9nt4BOsG7gO2D0o7/nx/DLX+AX+LJKdzJfATDkjT276L/tIOk3 +AL8DrPo3bO0abseo9GrrV0M/9uhCtXdkvqEqHyWMfuzRDeiE29fAU5wTz1cA +XqhyVn7PAn4LVQ/2ZXJG6js8X0/Vdxxt5CZgLieBb3gOvFHzVoPZfYZgZrfI +36tS5WmEOCeu76vyReYdqP4U+bsMav6Co8AL3g/2Sf1+krfYN9ABnmO9qv8y +ifl7zCxfwWRzD0DNx5T59uAbXN/i39WAXsH1BtgvkEtcTqn4LPUqlc6kXqXe +w5PfXVLzXlPFPqj+pCSmTziw+04nmb6O+BT8BPcZH3IQ+6/KC18Bq3kqYWL9 +wHecD2B+70HVs0zM/jIJOxV8GeOo+BrK7MY4hrdxLM5+Vcxf7/eKiGeB7rj/ +nucVcX+0mlcWLvCD56Wp/o9AJmcCBX3x/E/AeA68U/OPoC/BHyPxEM9VPniV +yT/IGXfjvK4zPR1+hIfCv6vqCfK7vvx71fy+uN4umtlTMq8A54D9A4z8Gc7n +MK7+XPoHMC+ct0oHy8V+AFbjwi6CP2J/eNwCdITxwc/VfC93Aav6BP89kQSh +1+KcOV1wO0bNf//f9N5kJh/5962TmH1lXy/mejP4kMo35fdHgd+c74GvqvGU +dLbv8vvskE/69t8XMM4BfiX0z+85cz8Lv2cF+Q984/faMA74AGDwAdAT8shw +/uq9GA+7dsR/44W0d0AfwGeut0OfV/N6t7P423aWlym/ew5Yvb/mwuT6TXb/ +S/qVsE7sH+hB3U+pBwLvVD1QwpAn/H4MYJTAG273A9/RDvjK/QxqvkuCjTyG +/gu85/ov8En9TqarODfIYfVeXoI4X5Xe5ff11PxyE9O/wN8lv8c54dzA73Bu +gHFuwE8Vr90EXqr2jgfTR72E/Q56VOM2nqIdYB1/HzB57s3oIID9zof8XQw1 +HhXN9FAZRwSsxqsShD8E+6j6r6X8Uek9lN2DOCnyU1R5sl3wKeyTmo/nYmP3 +gW8AVvmG/G4C8Ar7CLz7b7+H5M/AP5wL/OU6HCD0BX3dJhs8UfUvRzt5yWam +55uZHS+/1wCYxw1UfJXzVe0afyHv9XYSBp6oeWmSXiAnuFwFPgJ/AWOfwbfU ++GIg8+PL+KH63YposW41fif1HTU/QOZpAAY9gk6xb4BVvi5/bwfyhOelqHEw +H9Ee+6v2L+9X8Lxp0AfeB4yS6/uAVT4uf3+L5/3B/6PPQ/7un8qvou2ug88L +sBpPkn4m9KfqA/L3ANX8Ix+BPxgPsLoP8l4dYPTDv6eM58Arfj+Eyxn+e7U8 +j0u9xyd/Dwr7yfOyuP3N88wA8zwxNf8qjfEt29/B4vug72e6eB8l6sFX9dJB +1Ov9yN/XRL2KJw4MT1zs1gPW8Rx2myxRD76v97NclGp9NHsebec9Xh/N1htt +U6+uz0k81+uvCljNF5G/lwk9Ta0/yebjKGDIK8gplKgHfoAvoASfRKnWy9+d +U+34aObPfCHq1funL+y2U+9jyO87qHaomeGfi9gflKjHPmJ/Uar1nowvSb0H +ckXvz0OUqMd+gr/y7/ZBH9D7lflUqNfnESDkOfgs7AK9fajIW0CJetVOl7+D +yL8fp+pfL4TcVf0u8hw4X1X5McfraCY/zYyfyt9XhB+kiiHPUaIe+rSzoUeg +RL09vgg9EXJa9cMkMPkt7XDVL5cs9Bs1zyGJ6T2pgp+qfvJUYTfDH67e35W/ +78j5JeqR96Lmr1hEPeQZ3///K1/4v/IZ9bm3wAOdb7iJ5+p3g6JZHrqvKFGv +t4M8DxIl6lHyPB3gKeIhyAdDiXqUmA+eq3As87eZRT1K4B3yo3Q9SPo9gFfI +/9H1jmSR36PXy/xU8BWVnryZPJC/o4p6+F1UfhMo9FwV3xIEDD1VxackAcPe +wDic36n8xCzkHPQX7Cf05f/+7nGMmAf/bjGPG6n0JH8HB/iq8qmbAoY/EfxS +zQOPE/xV78dflKhX417IG5f5XShRr+pN8CvAjyfzulCv08tlY9+OCHzS+4sT +JerVe5+ugq/p+y+/0wH5An0b61fv58rfWVbjNy42+qIa345hfhhpd0BfwDyA +h6BT4MX/zCecxHPkv+r9XRGwjofXBKy/d8tYB/9ugLx/ie9+Ic8TeMC/qww6 +x77r6waMuGkSi1ciD1Dm+4HuAWOf1DzAVIEX4AuA9XNE3NldwHrpKehdX/8j +Qd+cfvh3JfAc9M7jqvy7E3iO84E8Af7q53BelKgHf4C8UfMBLwl9ScUHd5vz +18/PVZQqXviI9ePcdfzwFiXqVf9COLPfkA8dwfBF5pXpz2HHxYgS9aofEf6Q +ROOcZYl6NY67nPk79tut/9/ybNXnsG8jmD4g485YP/AJ5wI60dcn86P159GC +DuCnBKzvm5Q3kIfAN+hNkHvq/BFPiRB4Dhj4g32B3NX3PVbgrRonkXm5sP/V +uIfMw9XnESb4Bvgq5KCOT9LOQb+Q8yjVPGCZ14sS9ep+Bwi9Qv3uSjLzh6cy +Pp4g9A71XpMs1TzvEKFHwT+IfdTXFcj0DuknUfU0+I+k3OR0xecF/AWeqn7L +m+zewx07fjtpN6n2k6/QF7GvKFGvt5PfeYb+B/tGn5fUW9T7+mamRyWK84H+ +pNoBycxPm8r4cyrT16W/QS+3C/8R/BOqn4L7T5aLerV9gNBnVHqJF/JJxd9U +gacqfvoIvFC/4xctzhv4otqR8p4N9CSdDyQxvY7/Lp/8/j7wSn/uKPAHfEzN +M3QRMEq0g14NfIJepOIDj7fHMftSfo9WX6+DmA9KdZ5eYjx1XG9mhyFv8wyT +q3eEXMR3kiD/sJ/6eSYLuQU5pvfjJ+wr8Bmel4D91UuTTV6CSscpgs/zPFWe +l6rmDwSL+ellsNh/0CVKfZ9CBL4i/gV9GPdRsF/QO7A/qr7wUOgBaIf30A7v +oR3eg3zH91ohv/G9VvWeg8QL1GOemDfkCuQM6AfnxOWM+v0S23bYJ3t0CT6N +80ep9sP5+FWBjzo+OIt6HX+usO9+XWV+AXlPAe3wnl4vv7umru8x03flvQN7 +9xbQDu/p9SabewKoV/UZWY92/N4B2uE98DF+b0DN10oS+h2/h8jvIaAd3qti +yF8uv1CvxjlimJyS+eGgP1VOJQq7DfIJfinII/AzyGmUkDN4T83LThX96O0C +hdxBiXrQM/QO0Iuzoffo4yG/XPpdUQ++p7eX/hDoCSjxPvdLogR9cL+gen+U +fwclRMhL2HkoVTmaKuw6lKiHnFb1qXQh51V5gDjGceEfgPzAumHv6u29BH/R +n4cK/MA+wP7V+5HxS+wD7FvcPwTfAx8E3wMfxD6r8XwPoQfgPABzvoV6yHvI +F72U/ijVT5rG7No0plekMX1Lwmivl6lMDhy30SMgB7DPwF99PLN4T+WH8ruG +GE9/D/5dqSeDz0C+oj3sFuw/zg37j3OqYshTHT+CBR+HvgcY42L/uVyBXgA6 +VPOTZL6Eer7yO3PgE2p+0H3Bl0B3qh8pgflfpDyHXauPc9aQzxeEnNb3242e +ax3fM/qX8l5/D/4A5DM+EnY89hV2OvZV7xe/F2P7nRV9PCk3VX+2v8A/NQ9W +nqe6viNsvl5iXqBPzAv0qPVnMfbpuKFPWAz6Pm745bwNel4i4/zAB6xP71+u +B88BY71qfpq8B8zvBeMcM+X5we3LTRnXR7l6VOa5tX2uUInslvIV1ko/D9rv +MmDU52l/4ofquWTe3IAg754udR7TgKKlBzskSvuzdbHOf6cswD1OWVa/P/VV +eosQqj2meH9va/+6vS/v+XbpmjqgdGXpVweM8bJ+WnQ4c2WpPwG+YvQPGHo0 +YH1fo+hWzW5l29aT91nq1Yq+MG6+iSaW7fJjjtHI84mlqkYZNet52/XuyANI +ovi9LuMC+idR6zIl9rW5HUU90w/mbxr/SMBP24yqNS6bv4DT17359cLuYAEX +CVg1+331CJpbb+b0P2peps/LH83deiOKVtSIXNbxlht9MuD/rd9iRj+A/3yz +ZP5blyN0Y0Ahx/7Bx6hruZzPyp26RdN6+yf0anSbJlU8c6niPC/6cjPvnZut +rXbOVMef0z0C6Xul+RWPjbTqMZNzd0p9HUp/3WjVo+nAMMpZy2Fc41UvyH+9 +z+xliS+oyffdne/ljqEhVS93G9cqhl4cPJi3cH8zBT1rdWbIGjOtyt1h6oVn +cdTPsfrkHIdkifrkyTO/1UpIoAI7NmYOKJFIi7fd3tqnXjI5XA/a8X5UMhVw +zlZ5zvxUavS83E9lHFPp3GrHlQXfpZFz/9xJ3m6yRL2KJw4MT1zs1gN+WDkm +zNw/nVK7fnq+bnU6Ra6O8Fg5ZietX/mX29phm8W5PGg7Iq8pYrqAf2t58NfT +eY9Qx3b/XQ94+l8/a/gNfQLneq5E+SumP66Idvfcd9/60PuW9N8adOeT513A +kZXHRTuc84I+HmVqlw8RJeobdNHpScSLjXXy+D3qu2Rv45HN4TpVDJpzNqiI +M13/OWnmz6WeUpUtK8dv6feE8hZfGzn0cACdGdgvtEBLWaK+yk8ls56sb9Vj +wuK/DH4aQg8zTbjR5q2JHMJ7XdvnbjLwJM7AG1mifsGU9la8SKKBXWpY8SSJ +Cmp4kUqpGp6kGHiRZuBJmtgH7Av2DfWcb3042/7LrA23xfOM2cV/Okc9rbNb +HX1GlKgf69ooe48xrtR8ya4345vdEyXqz/Ud3DtyjTfF+6W36+T2UJSo1+nH +l6Zo9OMnxo1seGzMT9ciBDxu+LK4P6e+MOgihvprdBJDc9+6WNcZT6f7B1vX +HU/N55e30kEi5SiZQReJ9PhgxkyTaV+rjP1NphHuGftooTqjM/bVIvrHuoEX +g3LU/2De6C+en5o57eTmHl6U+OTdzcJ5A2hVXrcrD874ixL1K7X5pRh0nEJF +622ynk8axT6bYT0fCxXX4HiK1+A4UaL+wdKJefZ4XaKM2mczLogS9Y7avrlR +nLaPrvTDrNPuD448osBKt75mjfQWJeqxnjGLW51q/M6HErR5RtBKbd7hVEwb +10Rx2jxiRIn6J9r+JdJ+bf9kiXrID+AP5ObIDxPMd5/BnxROzxrO9TlpHc+j +XuTxh9MvGHJZ/o5SydVbmqR9Pif0oGczHwZvsuKP66WlLrvivIUeBj1oU9SW +Rx4rvA35GE7zhp9flLJA/h6PPr7Uh4r90WFfLStezNfaSf0Rfo5c5p7ryyTE +CT38SUD5PvtWy/iR3p9F7CP2tdnCA5MarwqjAy38pi1LDBPr1eV6GJ1Kjj05 +rLj8virq0Q71aKfvk+3v2mDev2v4m0I1NPyVJeo7ai+mkFmTt1b9bGW0lV+n +0OSkDH6dQq/iM0oLua7OqJcl6hFHmHv3hw/vD1poiIbHFlqg4bX8/sjbljdi +cyy/LM6jxTbvkYOy+oj9P/Dj7jJt65nE/vedPSPgQu4koZcfOkUOjaz08ubv +nC/TW8j7/6hX9Xd/0e5NGafZ5hL4nouMe+vjxRt4FUAlvPYXafY0gDxe+nkt +Oizvc2wx3qut6S/xFP3+2OuXI2VcoY82zxRy0saVcdCT6zfV6mPlI7Havlps +4p7NLwbfnW3lKxUfDz0Q1i1Q8A3EOXT8Sya3X6tb9SLb/OdTWv+pxj7JfOha +Xg/O3QgLFPoN6MNDows3oafZ0/N0vT+IzA26nx5WPNhG71t/+s/7iw6HCPv1 +wquvSV71ZR6Vrt9x/4KZbmr6YCxt+iO8Zp+3Mt+z/IbK1n2Q/gbYDTo+pdBE +bT4WyqHRm0XwdeyXt1+PhVXXHxJ6iF5up5T9m1t06bNHxAP0cWSJ+oSx/WoV +tq7v6iyn6rvWTRewT76b+Rc/2SDge27Xyqx33EWuRn0iq0c7VV9yEu0mdWrT +P9D9mmj3/Z85JX98e52mZzt+JOnQeVHfYcIvxVa2PCPemzPon+bLR9rmJfo3 +35qvgKevKFGPc8M57jvy0wif17Z5iu9XVGo4eKAsUb/ibinP69ZxP0JfNuB5 +v6W+6/btBY0y9h/1Jm08mad41fCD6HaJLFEPPABe7DRdt56zbd5ih8BrprvP +ZIn69T61js4ZdsPoz5myDi7z6nzKTeN9F1GPdvDPNN038WIHPw/yvuvUdmIp +L6OdvLeR/8OtvT373afB66NMUXOfCv9AkT4h6z+3fmaTx4h2Adr+hwo/Puhi +tnZuodQ7X5ZizZ7a5oGDbvZq5/PcJh8R9aAj0NVmjX5kviGe6/ZTNE3bWzXw +Qm7b/ELUT9HKBIOeZX4g6LC9tt8yXxDP/9HOKYEq/5h5Q5mEJJqg7UMSBX/4 +NstcQvpDUY92N7TzlvmA47V1SH8p6tGu+687Lo6bb5v/h/rR1/69PGru9paZ +pr3V6Ax0AzpKZHQEuktkdIf3PMd3etBj0gOBzyd39LzcY6Or5AuhYw/+kXBX +wLWbDD4VZtVbzMcaDe+8M1KUqF/7y/L8/1SMEu1jjOcYH+OcLnfVIWuou4CP +GvoiYMwL/GSnoXfDn6TrH1JvgRyFf8lVkxtSj+H5MPr7Ul/R5WEarTzad3mR +VTJfbJKhb9R6vLbR4IEyPvjakKuQo5Cr6BfjoF+Mg32wt8+Qf30NuXrCkKMd +DLkK+Qe5CjkKuQq+eyhh6/nSD6TeAT3k+bSFe6adc6cuocU2hsZJuQg5GW7I +xZF7Ck50OmfVh4t+29zw2yOq8KXst5z0iL4/X221yyLIeWt/q50WYegZMn9m +q+Hv0PfHJPQaNX8mic5o65J6jviux4VzP6d7WPVS89yKx0aGG+tKMdaZQiZD +T2tv7MckQz4+1vRPC80x9DDsR0PNvkmhQpp9I0vUdz6SoZdbqHKLDD1dlqgv +Z+gnwMvahn4BGHoT9C/oTZ6GHgU9ht/jcjX0Gugx/F4X9Bovzd6NN+zdeOo2 +fEuW43fjKcz36bjzW+KpjqGXAS//7eM+O8xaP6jL0v3VRsQL/6Sjpi/70wjP +OlsWW0v3lWN2Plog/dA4R/SLcVoY+x5unIOPsc/QS0r+VmFw5iFHW8y+6Vcn +rO88WpnwJI+L72ja1PBO4Lyyy6jV0ck/piUupapPY9ts6LZRxDlGa3SbTnk0 +euH5Cunkq42TLt5DP6hHO5xDv/xD/DJPDhP09a5Qs0VTQ58Lu+lty68FT0w8 +TQcSui9dEnXG8KfK/IE8Hp1Lv190l0aWmNo3tuk9EQdYcOjbWv9GtwWMdjzv +AO/B7nqq2WMPaUG5oTN+cIP/+aHgI+ArsKeeauuKo3ka/uL3YWSp438cPX4z +yfJ7yDExf6wL60Q91rk65timz60fiPExL/V+opxnfW1+Mk4MfqvPL8aYn228 +f2Xbz1a5lmjYCYmG3ZBIo35zHebzWsb1USY0G5viVT+UxuZ8UGPnO1eKWzus +3Nc6skQ9+AD4AvYJ+4b9wb5hn1AP/MixqPHaqZ19bej4Tbad6RWmP7PbrnXR +dNdKL0Jt8Aww6IrH17GP8HuDL+vrv0r18oRTmwJXqMTqbjn7FpHx9UEnnA7d +zn+FHh2LWrVxuYyvox3eQz384rBn9PrHdLZGE6cOfj50aHzarp79ZHyd5jrE +ZLHWz/+3adCkXLI92uE91MNvzePiq7TzNpG7xsdk/RnNr2SieZqfSdajHd5D +PfzckAuIi7fUzjHJOFdZP1Kz25MMf5SsRzu8h/pW+es0Wz7SNp6Oer29xGfg +Oc9rAd6na3ItkTYb+A28Bx0A70EH+nPJ93V5IOPtAwb8/Ivl1hERPws3ytwe +G7vsGLdTvId+8B766a/JCdv4uY4XnjRKk+Myfh7/sVB01Fwvdp/7Pr29PeRz +8DtPoz/beHkJbbxoQ7+xjZfr+5ZAxTV5KOPlkAOQC9BLQA/QM6B3QG+AHgE9 +AfgBvg+5Mf/Qzd+b9Dwh7F/wP/DJOht/qT7jwAOj3kvwO/BFHf9ibPIqgBe6 +/iLj4zh34MG1dRlyNJwm38uQq7JEPfygsNcXXesw80s2TyGnHj2PCtpZ7r7Q +AznfQbtfl6T4VOrx3EYuddL0lDiqpOktcTQ93Nzfsfo5mvJ83ercHS5SjtLL +x2/pZ5VH+1Nm/lzqEXXR2scYek4M/a35qRJpqOa3ShT9oF/Mh/NJ6EXAu+Ia +fsh48QHNLxUi8A54+KX8vdwlszlSjxnjWs0vf4GOPaxW4rLPPfKLXWTVS11p +e2oGX/Kmn5Zl8Clvut4nIx7gT5nKZMQD/OlIBn+JiaMlGfzlUhwd1uAYA46h +gRn84U4iNc7gDxsSWTxS+kcQN0HJ668ZdjTeQz8RhpxFu0/3KzTP+XVfS8Cw +cxF3xLkjDod26AdxGvirMK7azkWMj/7WGnE83u4K8Nxoj5L7ndEO4x4z7DHo +NXx/UK/ugw/bX3+79YD3HV1c6p+t/mLc8y9P1Pm2I1isC34avp/wI8Buhx0f +ZcQ90J9ej+99pokS9YjDIS6HOBzicqDDT0GFnrwqfoQyz9b9YomsHu2AN7DH +UaIe773oHvv2zqgrAt6yxX9e2QG3RHuce5ev5+tuqHdZtKs2c8mgQQuOi/GA +N2I8wy8DPxni34iLYz/hB8N+gY5hX8M/BT8Wj/PBz1XFiFcjjg2/lerHchF+ +KcT9EAecstPTqtd5UsSXEVY9T5aox3rgd0KcEHFDxAERF8T8/tX8eLJEfWct +/vycvmrxZ1miHnF6xO2PafHAaCMeKEvUN9HixtFUSIsjyxL12A/dnyRL1CNu +iTimjo8JBj7KEvXwK8HPhDgm4prwI8GvhLgm4pzA/49tt+2t5ShL1CPuiTgo +8A54mMDwEHgHPLSH14CB13jvye0sPiGRjwT+pWz9HB1y2020rx6Zo/Wvq2+L +cRHnRNxze2bfacsSg6jrtYOTGq+SJeq3dna/8uBMMIXteHuzsFX+wE8Bv8Vq +wz8Fv1U9w2/V+sQwr8xfX4h6tEM92tUySuG3MegGdERGezzX8xBijXMxixL1 +ej5CLDXW8CdW2Pmw+7FP2Df4bUV8XaFfL8mnjf3W/WPy/qSuX0m/IurRDnFY +xGXRDu8hLos4LdaZZpxjAjtHxMuR94M4LOKy4O8HNX0hgvE1V5E3pftLcG/N +YvhHcP/T1bBf3ESJer0MN+zNcMMeDRf1iLMivqjH9VLo3mo9DrjciOP1MeJ6 +mM8KTR+X80I94jaI4yAuqn4X2GLo73IdqEecB/4VxFGFn9KImyKOesiQp8Ie +NeSp4O/awgIo94p/8xfwlHlgqzQ/ZwAVa5DLSlf+tOB1ayud2bYDXgJPrxry +t7f/5KwbzsYLOgPdfS5z9mX90/F0ee2U70vnyvtEwFP1fDNlqpz1iFXP86Ct +k1pY9T4PgQdC7hvjYNyzmn2ZYtiX8l6X7gdLMfIZLEY+A+7FW4w4okXkKSFv +qaomR3zJ+cqTj1cOPBMl6pG3hDymbRqfscoVje+8MPi02eDbZpFnhLwj5Bkh +76iCl8OiCetm0r+7umx6+XIVtU39erply7VCX1im8fV0Gqrx+XRaoOFTuuHf +SRfvoR+8h37wHvrBe+hHt5/jDftZ5oEgLwR5H8gDQd4H8kCgx8E/jvgoYOCd +X7Om/Tr/FCHOHfl30OvE9/+N51UMGHJgd8ECRa9Ne0FZZpVeMHPRXQpv13dU ++5e3RYl66L1P31R1vZd+W8wDfvxk7XziyEs7nzjD3pP3NDa1LHSoVa8TFH7o ++LODE04LfR92pY4PD6hLjwbZe4x5KOxI2JXIC0GeiI4XfgaeyHsWq7X5+Bn4 +FGrgkyxFvTF/nQ5DqaXmp5D3YXT7XN4Px30Wx7M79s8ZdsngM97k9bDWLzPm +PxJ8DnwP7VeP6nTc2+ksfTHsxAxul2E3oh+0Ax8dMGDy2HUO9ww/oavgz6hH +O+ShIJ7wlzGf15p/4aGwQ2GXYp6YN/JSkKei58/EGPgYY6wfcb0Ygy8n0grD +js2p8c9Ew7+K/Gh/Y/3+Ag+AF8AD4AX2Fftcb2QpKx8IpyeH46x6p7y346r5 +9yWsn5Nsh/d4O2GXGXou6Acw6GfdqcK5rmWWdhP4KNoD5nwf/dgb5+Wl0JSd +X3xsxlHlRZhdOr+VXIBeVAoR7QMMOgcMvAcdwP5D3i7oAHSBOATiEjgvXV77 +08AzGX5ff3qbmOEHlueIdpADkAsvNT1FygXIachnyAXICf25vI8LuQx57Bzz +b72Y367R1ku1S1z2uSL0Wbd6lf3HDr4mStSjHd6DHxd+3RUFXVp+stJX/sKb +B9RIuUxnz4Y+LNTxorwvr9lBjylcs4vkvSfdP/dYlKhHO7wHvy78vP3On7xU +cd4jKlWnwJ2brX3oUdFK6XmKyXvyut1iooKafJLxct3fJ0vUox3eg58Xft/a +mrwwGfIC/jt5Pz5Fo7skgw6TDDpNMuJKskQ92uE9+H3hB9bz7xKNfMAkGqHp +S/J+PehEx6dAoedA74EeBH0H7fAe8tx1/iDlJuToaW19+I5ovKEHxBh6gfQr +ws+4QNMLEumQpidIvyL8jLD3dH1G3s/S9cxU2tw/4szAfnuoWslMeYuvPSRK +1EN+DRhweVtGXtCoEjWqZuQBQU9AvxgH/WKc+hrfCqSnGh8LECXqD2v6ZwA1 +1/RPWaK+nhb3CLC5/6XHSQKFXgg98aWmb8cb+rYsUd9M88PK++koGzTw2TT0 +UDwd1+ylWMOeliXqwd/PaucUa+BLsoEvKaJE/T7tHOR9/tkaflvolIbfskS9 +7ue3GH5hixE/kffXoNdCz60ztogWd3+n+TvdDf/Gfbqh+Te8RIl66Bstei/p +kJG3o9s38n7bMW2d0ca6ZYl64J++/mgjDiPz04Zo+mICLdb0RVmiHvip2yEJ +RhxE5sVc0+zrEMO+lqWoN/QWd00Ohhh8N9ngw7JEvS7Pkw15LkvU6/EHed8O +pR7/TzbybFPpgKY3yBL1Mdo5p1IR7dwtokT9fu38LfRFm3eqKIdp608lxLlL +G3Fv8O1Wz57X3n/SiY7+EmK1L65SkSY/WO0LJ1GiHny3nqY/+tBoLe/7MR0g +H6ue6SNK1EMOQt5BDkIugq/q/MVEbzS6MZGbRkeyRD34os5vkgz9P8nQ/2WJ +esTpEbeH3IIcw7qxD5AzkDtYJ9YNuQA5gXljHeDj4OuYJ+adgSUZ904ysCbj +HkoJbbwH1Fcbz4sWavw9jEpo/D2URrnr90jqjdbvlejyHd/VRR55ouHXSBB6 +MfRf6K3QY6HnQZ+DXwF6NvLskXePvHrk2R81/OyfFH+3p7CLAMMuan5jV/vp +Qe7CLsofvilbxd5eNvEi6GWod1xapNGLKxGUQc0Zdk3GrDLsHNhJsJt0PHto +4N0DA09iDLyJMfhdIs3R8CKR5X3HiTx05Bchz1yXN49EnhbiqcjLQrwUee/I +n8J6uJ4KP4fOv+T9RPDp4Vo/kGsWeqXpgRZ6qeW1hAi/OO6VwS+l46sH9dfw +x12UqM+lnV8ctdDOT5ao1/0K8v4iStRn7Nro3acoYxfdL58VJerr5dlZ6Hg1 +5PGfESXq01Knnw0qcpcWpnXwyGa1s1CiXo/z4js+d0WJejctn+IhrdXyKWSJ ++oOaPJHfO0CJ+tzaOmOopbZuWaJePw95n1LPj0808EiWqNf9Y/K+JfJWcM8B +diXsTOSp4F4D7Ank/YOOQde4p6zD8nsNunxIpKqUfmz8dyfhfxr++6YPb39y +F/Hopd0mrGhx3EM8d/7xSNdaSfI7Sj3Kf3/Y8PwlgT8Fj/gtbJUpScCHcozZ +FtBDfq/50tV32XJ1jxBxMYwTmmNZTNchT0S70hXTk67le0zFmsXsn55H/s5W +m7POvYruShcw/IpT/+nte/prCNV1KN0xc1753V70X3byjKy5b0aI/odnHb+1 +8soIah5Wu3/rcOQrRtHa/C0OXlklf0c9/du1TM/7WwSMdZ8NC3+TqUisuAfc +9oNbcL3r8vvHtyp1cd23Tv7u7oYxgz4fsdoDNPa89S9d0Gu/Bncmj3sZJb4v +gvfb7Jw2fHxj+f3iI9Hne1XbIn831/vx1JoLf5PfQ149sEChfpvld80OOlUd +6fFWfp9sf+abK3e+t4j57C2WfdidUPlds07r9lWv2ySN3MJihllqutOrzQuq +O+dzEiXqTfe2h5myJ1GmiMyBf/i70eEK2TsFjbHQ2Gar3+T+6krZS3Uul69n +BDVcVGHUuFo+VH/vtTrj9yfScv/L03N19aY7v4f2oIIRNNv7StbzqX7UYFSn +vQ/OpdP7+CDPKw5+NOevD6eO1PShnwtdcXPsEUEnvle9/MTiR5Zt3T6NKBRB +tVbt/eda2RRa2u9+z6tPwmlt4v0JY6znd+xd4JiUr1E0d2W5jQ3+sNDBJ5cu +LfwQQ48+D6vkeDudLB1ednrbK1a0w3tbqnkfnfE1hq5M/93LZUu8WBfWiXlj +HRgX88C6sQ8YF/PAurBOzAPzAj79fnXRqw8X0qj4wY2ZhvS9zOLzDqL+/Kwx +2V6MdBPyCiXqd/3wvczJEdAvvKj0/m7tny7yYt/x9hLtVgYG/bWgt0noxShR +D3zK1XugT+nKieT/uGa7vDWShB6MEvUrSvW8UuOr/D0VlKgPSW5dolINP5qY +f+3ZTjMDyP1U6+haNeJpQdFSu/dli6OOTb//WKdaIH3ofm3RLz96Ud5Z4W1O +5Q2k2OLdF1+OfUDub+q1zO9hta9G1TtXI88TmrGxbLl3USkUPT5wg++uJEq/ +WbXX10MRNvuD+gojXhUd8Up+rxP7Uc7bu0uuCRFU70WV7Mt2munnlVdXjat7 +i0YNebTWr5uZfD/3nBxq1TPar6jYqEQ7MxVsmad/4roHNP7cytD2k8yCryCu +2W/l7A3JEW6UaU+b3H7V5e/IX3+x4czaRHdxrs8iG3hsvu4j9Jw/lvzsGLfJ +9vugAesHh53vJH+3ZHdW87pfCidZ6TirT9cmTynx69m/d3fYRckFTl7bUzyI +bj8eUPjXVgeo+O+Zg4e/TqLXJffu33ZzL+25ur6r455AypVzY+c6/V1o8NLn +f9apYuUDW532hu7wFP2g38axz8cXL2CmP6/drr983VP6Ntq77q4vJrp1qsug +tiZf6nuj3KqUPol0MaO48ZSuvLo8ZvKfqdTeYfGXjWOfGc9T6UjFhNYuS33F +vDBPzAPzuvPPmUxNc3rR6aHzu9apHkhm49zzGXiws2nFNstemGhvj4+WF9MD +KNPnXaOLBSfQz+SaNLt1IG1rdMKU6mHFy6jOI6bmCqJLMyZss/ydQOfmvvvz +r3Kh9K7Uj2knnNPoQerC61kiQqnXr5cHzDxkpbsn83KvORRGT2a8ck0bkUy5 +O/xd6mFeq3z/lLfTg/Dt1CdsVPKMz2aqY+BFXQNPZnzL4dSupxflLN2sVC0r +nhQx8AJ4gn3DPmLfsI9YB9b1uu+R9Fefk6hlnGfTlRXM1G5knG+liCSqttDv +wI0IMx15nvlR2SOplNa588PsZ+LEvuMcsA/YF+wD9gX7gH1J0/+R1+LUB4tT +EwSeAG+wD9gXzAvzxLwwT+AR8Ap4ALwAHgAvsA6sa8axRy5ZzyTQrtSh0T1a +pNK2rgFNnBYn0pbvdy27CqeKc8M54txwjlgH1tWmesnFDV8m0bgZjg5/L0+j +NWW31dv8NJnuzNpR4oeBaRQycXPGH928lfEvnJxi1k7sPTaUOmT3/zzzfDj9 +WMn35nQrX+p99W2WH6x8CnwLfKz5x5Ons+8OEH7lctPK/Nu6SLywB1CiPrpE +r4ZDfw0Q+kvJ3Y1e3Z/pQfOrXU8renY5NekcPqJmuyAhF8AnwDd+OT74huvv +gYLfiO/f7v6lUz2/ezQpf5PjpTvJ78bV/5JnatwRi4Bbro3PUXiC5Hs382/s +c6aq/J0H8OvkSfPH/FBY/k5H9WFleh/e/pR25Gs5vGCK/B0I8P/j7u+qDd3i +T9PdZ0W/KZEqns/vunbYkET5/V3oIz0rX79QICCQjv+UcLnf3gShxzgbeRi+ +Xd7sK+oaQicbu37b0SNF+N1NA5pl3Tk2TfDvHSX3d7mYPUHktxTzcj3zsnKy +4J8Vlw5we7FTft8X4++eOO1s8RuST4Nvt/WocSuvS5LQzyp8f1X++6t09jsv +L8S4+85dn9p+TCr7nqMLOwcfajGkQrmwRfL7I/5/eFx0yZ4o9g37uHbRqytP +z6Wx7xpnyjS5dMP3j2rK7xZjX6DPdZ+2xWXsP8nkWHPFd88yN8V3Pf8bD3wo +e8G98RvOy3PGuSc4fJrT8p9o9nvAMWIfsS8aGYemCv4DfwjOGeeOc+29fHrO +5x/kueKc6zXM+GcW72Ofse/Y1+Rxi8vfr54u8myi/upddMtc+ftb46ZmzuaV +3Ycu+Xdo7pEULvzVG+pPDwjsHk9Z34Tc7f3VTNEb96/6qfEW9j2W7UJOQw5D +LkPPgN6B9YHuq2SOur1vXjxV2tZx43tHE9VxHlyu7F/x1P97Srs/vptodr0u +NZysesmPA7bdDrbqKct9gnxyxyVRYv6Yo8/8UmjDju3FioWmUNkbEaebV0yj +pcVarCxm5Xv5tH9p5LfwadzT08fp9bzVE3qXvEyWCi0/Thl2mvYPrnc0k9sl +cnyeu84dT3z/y5n2ly9S6OFyN0o9lzXia/RN6v938tS+Z9yo0d09nwuWvkH3 +T/pvnXn4Dh06t8vKMNzox9Dl1f58cId2bl3/U3gtN4qPutZr98lweht8fWP5 +B6G0ss3zm2vmhNFT/0xZS+0Pp5c5W7c82VT+Tgvu8eS8GfQm9EQKxWdr3j58 +czLV2zN84+Qr1nVdrni1zu5kmj7z58h3l+V9rZjzCzoXibHQ9YhPOVo+SaVM +U8r3ffrKQmPeB47r9TKVes/J3qd8ioU67Wl+cv31xwKPD171HHHWEkCPN/n3 +mV/lEZ0+9mHy51kmQZcrfqlefflvJuHP7fHJe7zv2iTBhwu0LjL3+IIkarTm +5H5Lnnhq3CtqbI22ScJ/Gx1y95/BeVPph4p9bjocTqSg0h3z+L61/V50+tVl +vUonJtLAkjW6bvZOocRWMyOcCiVT1PzbOR37pFFWj1513pqTaZPj5SXtmsjv +H33PnTJzTs402lavUfb9fVMp+xmHsNt3w6nG60bfsvUJEXgNPA/6scWUo4Fm +6tyo3L0n10/TtqnmOj73zXT+ThNL1oIXBd6DDl49q3R6ba0IgaeCDqoHTz6e +HC70SOiVc9/kfGC5EM/yvc20b3GecpOGxws9E3pnt531a02qGE+bK7a82KNH +HN1bXScyd6l42t/qwE33NXGUvcyy4if95O+oF73QOWZBkTRaq/GJC5QhdfPV +TqMs78sU73fujGiH99AO76Ed3gOdge5AZ6A78Js+h+ukV/QKF3QPPgA6Al2B +jkBXoAvQCegCdBLvlX52/ZVw4ccHXYBOyue7eOdUlxTaMaLWx/vbU2jazGoH +6+dOoV23b7ktOJhCwwKTJ00r94R2jmh/effZa/RnhxozaqU+Jpf9b8/7TLtB +K4OP9Ag9nkQjN+WrtqVQHB1aF7Z3z8EkKhabuWxQqzjyu5/ddWmfJKKjd2oP +zZEg+NXs/WOuN5sTQVvOr2t/92+z8BvN/5A12+kvVrjRwwZVI7dR2YUjP712 +jBD8Au1K39xm/Yugf2rtfB31LJymmbM83dUqmBzTs93o8jScDjqU29Z1YDBF +LyhiPZlw0o6pXBB5lg9fcCI6nAZ2qJz3UfUg0Q/6hZwFv2390D3p0gX5uxyQ +47DLfs2yLlPnORFiXThHnGvBAcsf7dwdSJvia89MWu5Cz3qfzFZvj4VuF35d +utCY27TQebz1L4JmT0mYMyXBixzLDBnbIiqdznh1/2VdW1+KzFDb26dQa+c3 +XwPnhdGmJ96hBzZa6KcjBSN9e8VQ+3FrzvhY0ml3n/j6KUvMoh3ewzgYF++h +H4yDcdEP+m2QqZLz6csBVGZK+cr3Wj+lVpd37Rl1IIBa5b6w6qzDMxp/qP2F +a0fChZyHHgO7sHDV4GkFupvEvYyNjW683ldO/t4c9FjotX2iErZlcg6nfdPz +RGwPD6EGrgfGvXkWQGu9fdLrNnhMv7tcs/5F0K4mE3c0mXiF3vZa6rv9QgT1 +yLvN9DXkGh1ZWPBW8aMR5HEscmTDI7foW4WMlURQp2L1Iy8+uk4ZWkD/Uu60 +MgMdVkXQnzG1W/zc0ZW2nPphfretETTQdGtIgZq36Wbmti3yHowgS/eeN+5M +vEdRY4b81XlHBMGPBnzAvf69FTMQbLOo9z85/1bJTFdo1h/rbpx9Ekh+e6ua +zja5QrkvfJuRf34SXc5SKiav5SqZcu84s9xKH9mSP4Y0zH6LnLvNXdAn0UIp +h3p8CAy8QktrmMYPf7Scmnd+MO/RbA9aHvS8j8OZQ5Q94PDkZtk9yKVO6b4l +16bQ/GFNjjcoEELjLYW7TqiWYMWDyO+OPz6nAp3fTGuU36qvVlvzsWfvF/TL +hvU9mvlbyOdiQOSw0tGiHd5DO7yHeWLemCfmjXExD8wb68A4GBf7jnPAvuMc +sO84B+w7zsHph2Jzy/UfQzcCM6++b5Z+QtAr9l/1A7tSyPH3u1d9diWvgU9v +tfxJfre0tk+XrP+cOULR7x92Gzr/MhVa0s2xsnk7vX6S4/HxSk60pkqr7/TM +i8799azyulE+5N3wxsGWKyJoWrnIYvVmudOqrSton5X+n+78Y+jypZ7CTwt7 +51TcIbcsZeXvDm8ucWZ1pZqpQn+uP8TxdJFw5JcmUVqeID+naWkivj++YDen +JSVlnm/CxaMLDk8y0/0cJfM/aOlO4b2WfdvhGU7bNzae2vl1MB2MGtR4ZKxZ +yCmsG/ugxyfc6Hnpa7Pu/XSXxhaenr5ji/ydrb8+3Vlzd4OZ5gSkt3o77DYt +zfr6lwpWfuC370XGG7Tr+b8dTX3SRP/IL57g2TNn53zHRT3aoR7tvIsdn1Cu +t4mWrlxSfmONGFoY9SG8oZU/vPx8Z/upP2OodWx4QO/qSfSuj/P6Oz8kUpu6 +zkFnfb3ocPGISQOsduDd4pV/GnEzQOTPTPJaX7N4aDj73cNwerN7ycfdS4Ko +3IbXbeZ1h7/cTNdLL3Tws+oT2/0TF629GkNum5uO31I0iQ50PNmu04pEml/4 +z/bryibR8GNZ9tT+NZFm14rq+uJ2uLgXFTL7j7OF9wSK/cK8MM9T5Ysus56h +2IcCF8MbPMwcRG/6bfyh7P0T1Gdy/5wbwgIpaneb72VqSb8p3kO/mvvSOs7R +4EbpTTumC72ocOffB4ytm06Rn7eNatI8iALWxefemzWd/m58P0/xDfK7KVvP +95qSLyyclo7e3KPu78lCX7r5283sA3+z6rde/9zxaBhDJQ+9bu5axCL0qO9f +nQuf+5ZK1//c/qhkuHW/EjJX65KSSpvPVqrYrZn87snBu4MfzbLu6+5RHYv8 +fDBV6KtO2RIGDd+fSl925z768l4cTcx6sInvxHTx/MfZv1r/0um2qeZdU814 +ylm11I2ObdJptPOBazvnWO2mOaenrElOE/SR7vhiRFJCGv3SOsuZhXkSxTqw +Lswb68A4mBf2DfuI55gXxsG40BOhN0JPhN644XXOUteWpAk77Hiu5+2uz0ij +XAknji9YuFv4ae5UPF671sKjNKhp4Bq3oUspsMztS5/2plGfwY5tPrdfQf/6 +dV/SaFeayKN7H5R28e3MAOrau/CtjWX9KOLj4km3ZwXQ9dN3y+av6kvbNf0s +gGYWqLK/2IlYajPseulBTeLpWLsax9udhf0YSvl+Pm/9C6e/s4y1/oVS60h/ +68jhNG9Ljn2Xa4RS8JbHD8bUjRf3/lL+/Rj/1HoOv++vMdrjQyyNKjm/wLhj +ZqFvldhWtWar38xCv5n/6unHRQPMdGp4XsdabzxpkraPZur7ekPVe7+5U96h +Xcv9NcRML19kqlepoydZLAnTjg2S363H/epTl37u3Wh0AJ3SHOZP6F/LvGoV +zzlSSbcOVs3hCa3pecJqsjtSkcav6+dsFERZFn91zNx0paCXyRlugK9PKEIT +JOupUI+3c52GPBX9oF/0g35BXwUa9J+z59ZjWtbvaq6s569Rv17Hip8s/4Tu +GHrtJEPPndh99F/bL9+hSpknHD++5bGYB+YFuQ45Dz5/aUqfRS3KBVLNPsUu +VfN0pxAnx6IP+gdS0FrXFuk/PaKKTi7949ICqGSNFj2GTUmnEb7+HydODiDN +jLDCy6zSccaUAPI3Nfp++LBJ6lea/8VEEYZe+8666sg9Jsrf7H1YNs8wWvet +10CfhWn6+xfCqfqrzVePrEmmPY87Vvq7tfwdsC1rCrnf6ijPTZzjhKrjWo5/ +RE2PRbQqUUv6j87FbSrYw2q3Dvgl2hQZG0HPxmbZdWOlib6Eet09NOgFeVd1 +S3KfZ6J+l45eL5YjkrJtaf2L+3QTPadPq6KfJdHUse1LZCsZS83/OhKQvbmF +3DWENtHA7N/XNWtgIa+Ya++LJJlo+ZS8hzs8TqWVWhlLH+ulhVTdmU41Shzv +UflrLI2ZN71c89Xp5Nuv2saiVvvi+uUrwxaUTidnrUwQ68S6wR+OO1aYPs+S +RI/yFmg0a46JBrVY/jKwdLKYF+YJ/lC5kcfDZ2uSaPDKVtf+sNo1i548C7t4 +XNo1Bw07p8W9P29MsNrlxeeE7ShvtdOxLqwT68I6sS6sE/znc+R51yY1Usmj +Tu6mk4smUJG1o491+y2V6ldutmed1a7PG35yZhurnQ88Ad4AT4A3wJO+SycG +FD0v8QB4gX3EvmIfsa/YR+wr9JCfNnaaHzw1jdKKZhg+SZQ/+Ui+5CNp1Crf +Dv84czKVvJ/pwgGrvIdeBT0rdmPtrPtPyN93h50Ju3P+lyZRo612Zr8rx2+V +tNqdbbbn7z7xSgr9+z05c8hm6YeBX0YbN1p+j+542ZoFOoVbaEngnpQvnS3U +8lNyV/dXFno93itTvSfSLwM/DfyJiDNO0fQdH3GfXo3rOwm5DTkOuQ05DrsO +dl7AQteYXy9Yz7/MowFeJ0IoZuuuV0dPmejMzXXrd48PFXF22JGe/3Rcvz1T +Aq2vvqFI1cyRAi+Bp9ALP/ftMOTm2VghtyHHedwfchtyHHIbchxyGXKa5ylA +r4CeAb0Cegb8aMgLgByHXIcch1yH3IYc7zAlrk+DIHfalCnXfs+PPrSuwNRB +L1p40pz0racrefrI+8eb/nm7LSKApvX1d8/yOVzIjyGXsv1+KVsEFap52frn +T12tpzgnc4RRBtDCZy1Gd34VTvdHjXQMKxpILzyznb7zJpzCTgflu5QQQC9S +Tv51cHE8RWmliVY/3twpaZQVT/NV+/l1fzO9Nvxk0LcnXPjBNyWfvEfXrhLd +rns8nAI7re3V3xJK+zdXvP/sXoqgE9wT8xky7d3uhfhdIQu1O72i+ekVqUIP +gF4APQB6AfwU8Fvs969+0L96EOW8EJ3rQnQ4Fdk1aPWZVsHUNCrp7Otn0s8B +v0erwbWnblxqpjdeOX769Hs8BT0blz9vllga//bC0fpWfS3D2h8Zd0n8TsGK +8pnvR5a5THvGdC9jWn6cfKdmCnLbfomah0yu37DLWap57eiUbnXcxHcLrrcL +O/dhkBs5Fw9xWBHoQlcblr31Z0Mfw7/0gBLHFP1UcJgPnXFtuKdQqhf92vR5 +RIEWPjRr2ZRMQ548oJX7Kg7pX8SHXs8OfVDX5yFVaFpw3blqPnRr8dC+uTo+ +pNcZ824RIfT7jVfHZHPvEkHzXJatOXLdh/Yf9Z37W+sIennp75PlfntC+Z0P +PTtXN4ImfRuVmLLiGf1Zp0rPM00jqGdq1/X/VnhKyztZ7v3qGS/8qxEZbDQ8 +nsK8xs8ZmTmaqs4rvqb/g3j6p9/Tt3UXR9PWnlOvOl61tp9xo5Pv12g6srDm +3KOu8dSsRbuxRc9H08c7RbcPumimTcPWda4x8Co1Pdrp4I/nzeRRqsjphOir +1Khf6sD1w+OF3LmRPmrV7TpOVKPPueEro7YJvgK//rLmliLx/8Cvv1zoMdBr +EHfCe1l2ralSZ9pxSnMN/TfeX36/f+uS2L0D11rt6U0z3F1PWOhz5+7LYmJv +ibgI4izDR9e+8cnHIvS7olUyGHEqna40LNs6Dx9hPyOud7JPzpV1E9zowogZ +B3uNknE8xPUQJ4G/K/OgnHXXW+3SOR4H2239//IMtp25MbO5FUYcBnyk2+G3 +XQ+/tdo3A0dXHTjaLOIm/PfVEecCHwRf/JrnXQnzlXialOi4+u4kGddCnOt5 +78C+AV8TqXvNDa4Xrso4FeJWmB/ywrCP2NfbawdUSndJlL/XMbB6n6dHEmn8 +7w93LUp+SF0jUxos+ZQqnr/JMrV1ZGwqfe3fq5x71Yd0c+MCn9PXU2nx6cfU +NPQRPbpcxudyGfm7TtMv161VtXgEOe0e/aHyQj/aWfZkneuUKPzhxdMPWC36 +RGoY2ezexUm+5HPrytz5ORLpw4UYh/pN/UW7H61UM7h2BA1OHVp51tNkobct +Xr/tyLEbydT1VOf1YTsj6dILx3TnU8l0d1PzjhHtoig2etCgAvvi5fdybt8t +tnir1T6YWet1o28xFNPjfmj6lniiL4+7D85iEvr33sxjfc/HSL9BxXO/94/a +bBb2WeUBISNHXIgX+4J9xHyxTswT80Z77CvsKthZsKtgZ0FuQ44LO8rYX9hR +sKtgR8GuAp/JMrrfxIc3pZ8Tfk/4OeH3/Gvcy8N7VsRSRnbHrOYSPxFnulrE +pUv23fI7x2XDzu2O3xZO77eUmnnwu/ydMrRDPdod/cN3csODZkpNedm276Ab +FPw8Xy+vxmYRL1mYffBJzxZmeuLrN8t76EMqFjnxp/QFZko78LJmTCNXmtR6 +6cHpM83Cz9NgbtGwVD93Kjx1wfmOk49Tbt9a35r9407vckTVHNX2LF073/9C +0nkf+krz3y/096R3llKNzFt9qN/xnEUv7rhPLoUCpk398EScO/brcXpVl7aR +Z2hyjbxWyyNJPJ/WzK3B6wrJlGXrO4+6JWeRJk6vJtHAvm8yp250pN0nIoMu +XrO2H5w87OsQR3pvtWbc3yWSn3dGYNeDhi2OnPHimVXfLecxbN/a+zSv6ivH +36x6nmWn58XR2zyp0qKmaV2zmQUe7Q0ePTywrJmiftn7rM35x5ReP9Pit+9M +dLvUlJDDg/2o3Y59+UeOTyRL1tCSv+R+QpXqzfVoPSpVvO9woO22DfVSaZvP +qT/PrPKjw71THuV9ahJ+gyHFr/tlijTRjjHOJ7ZOCKCUD2+v3XczUdb7K6bW +TA6i2CnPpte36vsPXxwyj14fRPMHNir08kmCeP900pp9i08nUK62KSmTagXT ++YxwjV+KeB6V+vTakvcpdHBr7s7OQwPoTYY59jqFXh/KYMgBtNfnW/1xe1Ko +SYebOQuuDqbVQc9med5NoUWrBw4aa7U/IRchJxe2bZn3j1XPaHdIbtPEehG0 +tHrORQ/HJgi7YNWDlvMer0igs5GjvAIDQqhrTIaikUBXntWp0GRnOMVt2bw1 +b98EOhW8/otfwXCKHzB0X7mANBE/+qlwu24bzqeJ/g4X3fTD32+SqefHOutq +jX5OywucORybnEz3Ntf+t8nl5zTm8/Iv/5RJE3Qe+rzrmI3t0ujKzR1eJVY9 +J+dL05ctap1GofXadtp96jkVD3v6vp/ZQicz1K5TUTQuIx8pZxqN2JJh+EYa ++Q/b6IuWj2SmRo4ZhulV3f65IPECeAK8AJ4AL4AnOAecO84Z545zxrnjnHHu +2IeZk09nrntI6v2wA6D3ww6A3Q47HnY77PiOExxGTUpLEvoD9BToLXV2nPxr +rFUv2TdlWARZ9RTQDegIdAM6At6DDrBe4CnwEniK9QBvgCfAG+AJ8AZ4ArwR +/hmDL4APgC+AD4AvgA+ALwCPgFfAI+AV+AD4gjhvg65Bx6BrrBd0BzoD3YHO +QHegM9Ad6Ax0BzwGXgOPgdfAY+A18Bh4DTwGXkMPGz6z4sRu992oyd+jhjnG +3KQ2P7YPKLfCjRoaeRDIiwAddvrzqvUvnN4YeQ8JRh5Ero6WaY79Asjd6eHP +Jev6C7sJfjj43eCHezEq0HvxXfy+334R90AcpGjd3Xv/DbhMidEnPnzbs5f6 +/lR20t+jfKj2i/UdGz7zot5f97fqZHaio8V/n9S4wxjqeMa0e/YJJ3r39eOj +pk8W078//v3Dz509hL+0ad+UulnmeJDnlKndpnouE3GslUZc69jZf4eOrOxB +ZQZcS8hSeq/II4f+Cz0UeinON6zYrjsTet2mrENzRVRfECjiHfOe/lCxLyXR +uD1T911rf5scM9SUNalCjsHO+ykjbbN4gOgH/aIf9Iu8eei7yGMHPNLh3o6g +12mUK+TYtFa5QoQ9i3sEg3+Yc2JnR19a5vS+ccVq8p4A7g0gjx7+Adidl9fv +bePb+7nQb5GH31bLF4wXv9+GPHnkWW0/eKjtrurJtEMrTcJOfVs/ZYnPyhjK +3qb47M2ULPS/VJejqalnTlPvNoVHeQTIvA3kcYR+8O23bPBtKlV+QY16G8xi +HNxLSPPvObrAbzGUv7bTwfRT8l4C7ilAT4fejjyucdVnZ62TFkeluj0NLL40 +VXwPF/o57mlA74YefqJKrj1n3nmLfA/oydCboSdDbz4S/bnvr/39KdvwwdE7 +syUK+mjz8NewUckJwk6A3YC8r6U/dLH+JVLNf78G7/VJE+PhnHCPo6j7rY7v +LKHk+vTG4Al95T0PkU9j0O/1Hzd7zrDC0Muhp0Mvh56O9eNeSuO9k4r8stlT ++L9g58HuE/zEsPNgh8AugR0CuwR2H+xA0AXo5A+NT8Xo/sP9FmFHT36+fmGP +6xZxbjhHnBvO8Wr5kZ8zOz8jy4+hi5da0qmplQtH5QyhDKl38rXUK6BnwA6E +XYh9xzlg33EOsKthZ8OOhl0NvRZ6LvRa6LnIK0CeAda36MqooWN/M1HfFk2y +FyweTbEjluxpPNJEnQJjh3svi6ape/8ddHywFa+vTnH2KhtDfbJ8r/Kyt4lK +Zn0aceZINK2OXNl11SCTyNMqcyR8efa2SZQcfPTXVjkS6O/PyaZRfZLoVJ6R +3tu6J9CClg1+v94piX5ZUDN87scEylfi45RSNZNoV8kSY3uvTqAf3j31q9FK +/g5p05AGRZPDUqiv5ldOEvIronmtdkcLWe29YuaLf3vL70bdrOHbvXdJq730 +vMqm2qtS6Ou3bdHn66dRtWGt8+3om0q7mr5bOMUqjwJ/u2tZs9+Jpq/fHPu6 +vDu9bNVr2riP1+jixixTK4S6Ub23p32z7HATv/PdfXLHul3Pu9HNimVXRKRe +F34g+IXg54HfB34e+H2gbyCPBPwJfjX40eBXgx8NfrWTtU6PTBzzWPDpmhlq +ULXH1E7LP3GjigF/5K3S4TF1KvOx/l/BrpTPrV5k303W5z5votPO3aFNz28+ +PLjhMe2/Or5qA887VLFg+1/+zftY3i/MiBv9aRL89VHiX4Mdx5ho41zn6a8f +RVHFt437/TzRRIF5rjWdWTqKnI9tHj9shlU+hLUt0TNnJJ270WVEzikmWtLx +eZnj2yLp9+aftvuNkves3I/6rXvXD/IkWuAR8KpckHfvQdbn7csNnXUkLprC +qo71PGzFq8ndzg/0tOLZgCw9qrr2N9HrLaGV/Z9F0/zvkSnjpyUJOhyToSaP +TqK9TXwnZj0YT++PXKn9elwSUcPQOSvXx1Px8j0av1ySRG67K570ssRRrjI7 +u9z5Td7bSv3pWd9NjYF3Ei+Bp97ls8dRwyRKm7An57r7CRQQk+VgRyue/pG9 +R91JVrz9ufatZoFNk2hjm4qL9jokkMOSjm9b1zbTp7DHrUP+fET5YxIqbqlr +pjlJLerWL/uI+kWOfvWyk1n4ASAnITed8s/bdKJCBFVIqfN5aYivkDOQOwdO +/rJygkM89S9SuEXwohgKOdzrQL2y8MfFUYPDX8qXrBRPf9evONGxU9z/6+pa +wKHM3rguq6KLskgoK7u6kS3aSvXaLpQuSpt1aa2itf+u/7KtLG1tF2tVqJWV +KJGWZNddUuRSMchmFGbEmNGYMZdkuwjZ/0fz++bZ/zye533mON855zvnzPf+ +3vf9veejPZ5Oi2YYiOndkd022Zef0ZfB95g/Puv/KRz68GnsxMFPJtk5Jnyb +VsInyaLhqzzH/UHVFx/fdq/h08x1ofF2DslU0We1/XwFn3ZF+CSXRqcQ94SV +j6O5km3PbTKn7pGWkmpLN0aHu2awuOiBk/3LsUeVZOz/am6jZwj7Hkpch3Zw +HdqxnDOU0MDio4m2m3RtNzWQQlaklBXxqOnkTl39Se3sfngv22mCYdevI5eL +qTy11X9tHI8Wu5oyJmQT+/6fjI4tSQMM/jVPsdMOXsPgm+oT8QnnZHSo12ua +Rlcn/b5h/gdrEmXqc/oHP1wFuTUO9EadVJCs3/FMwUMG75rwG6asVtCJb/b0 ++/AUVPiNzS+pTgoKnd1VLGlS0Ee386/+PqaG1Vt7OZr5WU41dM4h9Z+DH2XT +qqHfbTWFLez24d0ooEnFXx83PSJkz5+q3hFkl3RSSM6L6ixzxMw6vZJXNh8X +klWKU26jcTMblxxQxSndPhd28YKE9Oex8rbcN8103rDp25tXpGzcKjRl218R +DN58L5/ReKvA3NcC8Nse067NfjbdEmZeraYm1lyuZ3EEcAX0HPQecABwAfQo +9CqeW+8G7dlgERsHQlwIuBU4FjgOuA5+ofuaVrxCdz77noab1/oXfLVcSB30 +Wbb5MvV7pSBRHiN57pu7pJ6N75c27A5I6uey7Q7BWQc5q8d+m3LDrHaCnNXD +DZqX846FK1m9VFFpNXHrZiUb7wv/7ePj8YnlNMErX6vtIJ8GWRuG/SJ235fv +01x2IqeNpDdjttc4COmlq2Gv7XEJGSakTT2iJ2X3hcn49RedbzC/qwUuB8e9 +Bu7PYf1w8MvhvO34z5oFtVky9rxtvRctWyY+V9D1ovDZr4WIM5VR7/hY65DX +MlpxpShwspGUuIOPkUVKMhKEMJapjGoz+caFNSL2d7jMPCA57CmfHT8kylEP +z5GVIpds06/gNxXQuqgkcfs67LcOdhzjArZ5LTqs5qFCr0GPQa9Bj0GvQS9B +T0EvQU9BL0FP4TkAPQG9AD0BvQA9gXnBPGFeME8D8YME5IfsPDCLayEeDT+u +kPZEDg4I7zdW7zPsO9TDddhH2FdYR6wr1hHrivnDuo4widw68YCYbXconPSW +R/JB2uEpLiEv6P/zVPAduBo4G3kwsOOw72F3IC8F/0eeDOw65Ikg7wS4H7gX +eTDAA4jXIK8FOBu4FDxT8LDQL/Ki0C/yntA/8lawX2A3Ig/r3/k7d4kXHWRu +MV2dr428J9hzyFtCf8ijgh0N3An7CHlQsGNh124Y0x1l6lxJX/aF5O5z49MO +CxOHxE/rKel0cFv05nsk4jboj9Kup/u//2k5Xr+CQjdmjSy2k5PvKFPBwdQO +ujuz9uNIWzkteWLN28fpYPPukIc3rseo72tzuUpKyHd01YzWY0qyL144MrpL +Sp8UaC7VD1JSX8SpjnkG6jw75N216vxqbLRTSS1DslMdb1jRvcB8H5/Ns0Te +pY/SY/kyiYiEWj35o2sSWN4zeNDIS8Z8gwcNXjR4zeA5g9cMnjN4zeA5g9cM +nnPgtv+u1V/Hpb8DHczu7awjv2t3Hv6wgkvLv5p9/dPMOrYc9VCOepFFhp9k +HMqkcLfOAruUBOrpdjpz4VImrTj8zXOhwSVKDxVe1Z0kJiPfC5OeVzxjJcqx +b7CPYFfDzobf4d/xcrUfAjx48OKTrc0MDg1U0JiQ3aWpHmqcg3MfYKfAbrnV +udFaPqyU/B9f8W4ckUNe/q8KbzaU0HptG63onlx6YZb/RtleQn7r8txzPHKp +88Xi3il7Sij2jX1gcvMtNm6NODbi1ohjAycBN4HHCl4reKzgteJ5CxwG3AUc +Bh4feH1bVibtdJ4nph/O2EbElLezPFjwYm3Ph8T1VXeSYjBglSKj6XaclRXn +5fRuXEXr0X4FpS5Y/l2iloK8B4kxYgU96BYcmP+2ig573555pb6UvGsXF9a9 +riLXSwl9se2lLO8CPIx6T7s7udwqlSwjYWqN40MJl2r+Sh8eGsCh4sr1rVuG +y9n3PbH8XxVPwnpWqu5fK5UsjvSNW33/F98Muvp8wI+z4AYrUV6ttWfvs1bm +uRRwKK3G6Sp1DvnZRaQcin9lUPvGs9sy/uYQ9WiUxVyqpOFLNdtXKThUcL0t +Nruiki1HPZSjHnAQcFH8l7q1YQzO8E6RWx8saCPDM/ayPOb/Id++cTv3to0t +Rz2Uo56NbfkIUx1mHa51/6fwmoTKohtfVWpLyfrAIOCXsOWoh3LU0z7lEfpW +xCe3sbZ2aZGHyVO/qHZHG2NPuIXE7jQOIQuXOz+bPeaTY1TM1+FGlyho1tr9 +FY18uuZl2rW0N4a9Du3gOrSD69AOrkM7sGNg18COgV0DOwZ2DewY2DXQk8O8 +IqOOSPjUqOI1gudYGls4s2JlPXnL260c35SRv0FOlre3kNq6d5ouMRDQ6uS5 +S+O9hMRL2t6RNl/tR4FfxShbw6THU0jGQ1JAetOXRpR/IaXAYWNHeL8UU5DK +T3JN5Td52itYvs1RSi1DsoN0Vby5chWP7ukBWrZps5zOC6a8KrLqYHlr4LE9 +0Oh51HBRST/u5YauCpDSoamiqS/8S6km+9agR4M2lWUt/mJ9GV22rpotYfBZ +jYrnD97/VbOo+xtOlVGxXOPRsWA+nW8z87AZzN+80/RgwvB21o7C7wF2FOwq +2E2wo2A3wY7inzoW2cfjsnpeZ8ZZN58O6FUptWmvl71rk9Gb66ZdN09JiRfg +ESOqht9HSrtGjejq/gLxfRHL+wEPCDwf8H7A8wHvZ9NzkWVNiYzSdIzr5i3r +ZJ/jhXPNu8v61Dwr8K7As2pW8a6Aw+7NUv5Tt1/NswLvCn4r+LHu5MYd+Ewm +owu7tTYo3aT04rS73pxanO/9hA5ufcD88VTyCaOnvvfV3Sqmxs7Y9OSjIroS +M51b5SomT7/mOTapIkos+MD7xrASyt5Qamlzq5jNY0Veq2u7tXdhvUwlpRRc +Z3G4zkLJ+pv26pXKXD9SUnPXIfd5jYz929929ME0JZ0YMfXIQoGM4nLu3l+j +jXwNdR4s8mKvhk47u1VPqZLy93bKZjGtMfYKcmaec+BdgYcFXhV4VuC5gfcG +nht4b+CxgdcGv95ulZ8vXKJb4mqppP9c/ilu3EUZNZ+dk9nUwCPH/B3++249 +pg3W8c49VnUUXVoSE7aZS7eTZDajyx/RaeXCD8O8ubTQ/XX6/cli9lys93ZL +KjXputQu+SODWlR5JOAb5A+tdxHpB3N9XnxYQse/1+zXZeY9rMbCMY5ZhzTj +Xya7DCum2lvrJydMLGHxY5KOx3bHjVyyt3ZIjr7xiNK130064MNl/Tbw48BP +A78NxoVxZurab/1urfq8WEiUG8i7Tr/8XEjfL3T7wHqUWqIc540HBL+y9KhW +UKDnRRfBBPV5zZAon1sRFdp6Vn2eHCTKI38wSW1g5LmH3wXt11BLlC/pPW1d +uTKD+Z7629GT6RTWvfYP+0YJzegVcn4aLaVV6QJj+VIubUnx7J3/tI5GleSU +rTbm0BMPnuc6AYda7KQSTjiPdkS4RrRY8kisc/unqgsKyls8q6yLoyD3LI1N +pCOkPD8v413M/YW6FFbXtjwjE4+wrABm/CM7XB/zWjmU73w7++Q0DhUmvhnz +M9Ov9ry8Zj1mHIlPas8MhMvobX7LfncvGd2d8+O8t0y7UVbzW6OZfjAujBPt +oh/cF+7zSWqoX9zfd+nHPRUdiyzVEuVFee/7aVL1i3HjPnCfuO//AXYabGw= + + "], {{{ + EdgeForm[], + GrayLevel[0.], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJw1U89LVGEUverI+N7Xe9ODalMgiZAuEowgW/Rr1aJiRndlJrhSJhLEXW2y +CXJV60bJjSn0YzPjQo1a1RBkCzeJUTQq9WfYOZw7MHfu993v/jj33PtOT0yP +PGg3swlIB6QRmfXAkEGqXWbLHbp3Qw9EssfQFyCLOPd06v1Gm9kQbEVIDfdd +6AVIPa8cjGcs72t5+Zf8XMzLv+H5fwLHcdT+An0Muhv2X6b6Nfe5marO30x5 +hj3nncTsXJDvp4LZZs7s/lGzjZx81nPCtejYKJVIGGqOmfmbwDsSCTf7I7YW +Zvp+NmEved3QJV6q7cpd8fwN1/Qh3t6ceGN/wXt8csRsLFbNf+jnK/Ql9Pcb +9lex/Ihh2Tl8lmk289A78PsO+w/oDxD8bBt/7zLlK+O8UlDsm0R8EcetVNh2 +Hd+Cn5l/HHXPBvH+DbIVCVPR74w/g/c+yMlIPNSdl9j3ouq9Ehvvs8h5OWhv +pjCPCvZmEroftlG8nYJ9D7Zmp2K3vBZrluEH+mwm0fxKzj93r+L7x3hyyt25 +C7+LsWLnkHso1izvxeKavBArd4t5/sD2MGhmV6FvJ9rlYZ8vay7Fmgdn8Qg+ +TZyfwmcwaOe4b+z1wPGz/vlEGOrAvw/7tVQ98sw50XfP/Zt+pr115268QP7n +QfMpI99S0CyInd8E8dN2PZF9HucTOL+M1POA7zB7uhLUF+dBrKzD74I8tnaY +NtadSxX3uiD+RhPl416yzvtMb/R5nCov94K5P/p3x++PHBEr+WYtcslZci85 +h9WCeOYbMTBuw33eJtqhQ9T6D0QdmG8= + "]], + PolygonBox[CompressedData[" +1:eJwtkssrRHEUx4+3O78711yxQU0mC9QoUqy8NjakZulZNmjEgh0bGmVWrD1i +I/LasCLW1LBgQUme5c/gczrqfus8v+d7zu/Wjs+mZvJFpBEUgu6oyLoT2fJE +zkCLs5jaTWAIu9mZnQKH2GlitwUid/jxcpHRiMgH/kmI7Ytkqdkg9wr/HH4X +fjv+NoNbo8ahvQM6MybyWSTyDXoCg9r38D1jn4Y2q5e+JLMeiPHJFzXn9E6A +BLwZ/CnsI+r2qN8sFVmlt5NZw1GbpRomY1abADfEuwPjUg2q5apM5ILDXIJr +7DXdnbptz270xj6LxFZUf4nII/Yu+zvmVYKDMrtFHCwH1vtOT8Yzjgg75Dzb +6Qd9C844lUtrVJNqUw2qZSkwLt1pH/8psNvUkT+mNhvarnoDvUUxWubha9NZ +4De02jPyffTuRKxGc6p5yLcdVHsNsQ/8KvIVpbbjIH6Ds9wLd+8PjCv3v0uH +szfWt9WZSWf/gL59HL/eGYf2VnvGPeZbTmeM4C/79m/p3aZjdvs86tPYf8eM +V6c= + "]]}]}, { + EdgeForm[], + GrayLevel[0.12873757694189414`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJw1lktMnVUUhQ9QuFz++/gvDtQ4UJOmdWRBUBNxUBkXS+nIBxSMtkVqcWR0 +ZCy0BSc28TXQUBIJpbV0gIVGjbVCY6kONI2mDK2JFkdMqkYH1fV1bQYn/7nn +7LMfa6+9933whdG+w/UppWtaDVq7W1IaL6V0pTmlc1o/6nBRAtOFlE5qfdKU +0qDWPq1ddSmViim1ad0lma+qKc3pbLWcUofe9ktmm34vSd9zWUovSe6odAzo +/Kbk9+v3t83+nWnfrn2P5Jcls0d2b8mfF4u+R1eX9k9qvRP+zIQPuX5/rPW3 +5PsqKV3QPmtN6X7JfCSZM3WOgVjQjz78QCc6iIm36GH/p/ZDESe2ft2S0iWt +E9q3tNqHHtlZr9kWNqcKvufteMH6iRH/wGp7nW11hf9vCpNeYb3abDsHi5bD +38U6x16RrR90Xtb3huw/VO+7Zdlr076k789ah4T3DsnsInbJ/ye/xhqFp3w4 +ou9WybYVnBu+7bHfE1gRBz7sLNg33iA3Ipnh3LoO6DuidUz7Q7llBwN/YhgK +rIaLjoU7fCFesF3SXWu98b+kuL/WeqTZ9zOB/9lmY71Qb9untV7W+kJYvZ3Z +xmKD8zRf5/z+ssWYvCqfJuTbK/p+lpsPTym+443WAce/z82Bp3XeojWpu8O5 +8SBGMDknLG9rn4RnZ7N9JHf4DT/h8xG9nZPduaq5zruD0tMn3bM6/0vP3xOm +85J/V9+Jms8+lWxjbj5eLVv2VMjDd3Anbnxhv3m+HFz6p9EYgc9e4bZD6wHd +X4y6o/5OV302VnEOtwaW+Iu99XrncLLBd7srzs13uX9zDu4rVXP+Nfn5b6Nj +oYZWc/txNTffkYGLM8Ef+EBObkReFqJ+kD1VdbxvVZw/auW+ZIyzeuN8ver3 +a1XbxSa8B4OVwOFAcHKyZnxGol7GCpZjTyzEwd0Z6ZqV3HzZfKDGbkWdopN3 +54vuQXAUWTBkT847Iu+l6HP4Sq6xjT/UbWfwBGwWQgZ76PqwZk693uj3Q7n3 +g7l/s0f+coN5C7/HK/aBfIIjGODDfPS7zR41HLVGTMQGt9qLrmt03yMfnsnc +R8GZGLC1Fjg3Rd3wlhqBd8QF927W3OvoeZz1xfkTqt19ZXPwYd0dU33+Jn87 +ZGegbF5Sc+gEZ74Tm74VzEvsnC277q9XzI+2iGsy5PGHOuHdaG6OwtXeiuWQ +hz/Mpeng3uPyob9sDMCEHrHJwxPBsY0mx3KHS0XnjhzerXefl4wpfWIp+hX6 +6e/YRPdjmfWjj3N0MjdOhsydPh1vmQPjMWvApjMzPqOy82jm2TkVvm/6xnyi +TleCz/CT2sXn9ej7xL5cNUfhbU9whC88mYp5jd43WtxDh2LeTcccZ+UxN9cq +5l53xXPpy5L7+s6Ys/T2oyXnfm/M5I2Y4+uK42KLa+WninPyTfB3R9TU+dz8 +vqbze4XDQOY5QT+/HD3993gD99+v+f/HBzXnYTbqER7vD/vwl/zCj23SWZf5 +/wT1yn8NMIfrC5H3Lvl4nLlbNJYbgfOU3nWX3QNWIl/ExXv24Pls5lrC/vPa +by/bj5TZNnZHYl5t9qLFyMV45JA9dXk7+gA9kh5H3uBTb9QtsaFvPeb9WPS0 +ftm6UDJnub8SMoNlx8b7P4rGF2y7I6fMw/8BlzxJbA== + "]], + PolygonBox[CompressedData[" +1:eJwtk8tvjGEUxs9MO6Mz38z3zYyFhQUSiViI3rDAgoUVWrVyqbbi0qbaEURY +CRU6NhItNmLZTnqZVauEtFVCxYLY1BKLXv4AhAV+J4/Fyfucy3vuZ8PJYktv +3Mz2QdXQQN5svMbsd8LsYhZBwewPeAqjQ6FZT86sH74EpeHrsZ+M688g+CE0 +VGX2BFkT+j5ofZVkI5HZdfhhAg05wV8mxiz4GzQIXuT/zhTxoP3YjiL7Yfoz +jP0D9JUaxfTY96Ax+F/kM09uxwJ0GbPWpNlpfGxOk0tGuAG7I+iPQ2fgT0HP +0K3wdkJdUAl/fQnF7AcX8TkSU83nwXvI6RGxX1PPBPwC/E+T7HOonnnvvpLv +APgEsZ4Soy2pGJ38KccUowv8kj9r+V/L/znwFvp9Dft5cq0Q/wI+SsS6hX03 +9nORbL1nryLVejRQLV7zDPWugjLw9fiIoWuCfwt+89+n+76Lj93Ee5dT7wL4 +NvB4XrY38buuIBu33YW/JXSbfCcC+fIeTqfVY+9tHXQglK3P0Gc55f3FvhHd +WWR3wGuy6nVHUr1pDaTzHn3nz+GUdmYRX73od6CvQ7aaPP7mtRve8zH89KB/ +jH4CWQH9bfhR+A/wzSnFnk2rF55DUNAuuy4Dfo791bRy8b7sxWcLsiAln46X +A9XmsuZQu/2R/N7Tr8ZAOXjsrV4D/xsCYa9jW6AaPPfalGZTzAj7jD6F2qVJ +6EWoGfgsrjCTDnA3suW4ZuKzSSL7Uq2dTIDP5bQbG7GZiUSOfcemI92Y31oZ +uuH9zOl2/eYvZdUD74X3KwS35xTbb76C/mCoWv3m7ud1o36rfnN+e+VIvj1H +z9V33nffc1xAt53627OK4TP8B2xKmaA= + "]], + + PolygonBox[{{4621, 2511, 2987, 3436, 3797}, {3813, 3206, 3205, + 2387, 4597}}]}]}, { + EdgeForm[], + GrayLevel[0.2195437500752926], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFl0ls1VUUxm/bxxvaN5WwxEhDSAAXGKSFEgq0bEwwYBlcmTDoFkqioQU2 +KDERRJDBaQOWqTyQgtIaTAwIJoIgZRYNSyILgytjAgLG78d3iIuXe//3nnuG +73zn3PtaVvYsWl2fUnq+LqUGjYdyKR3U73A2pVPamJBJqV/j8XxKj0el9E/y +HjIPNZ9aSWmWZFo1ftyc0pBkF5RTatRvguarqim1aW+OZNo1rtH3Funp0XhP +Mndl9G+dy+l7UD5cLKX0tb6vyt5XGk/K1mHZmqi9nU0p7dBvTyGlC5IfK/s7 +JVPL2u9nfjFfIPlGyUyQrULVOgZCz7eyuVXrpzW/JR8u6rs0OqXFsr1Ivx+l +v9bkb+Y/yO8z8v+cxn6tv6z1SzrzSDqWNhgTxtdifl9nlkjmQ42tGccLFrWM +Zf6stx/3NT6Q/HdgkzH+l/LeZ2+zfJujmKqKcZli6JWenzT2SfY9zcdLprfi +77zWV9dZj6ZpjeY9ddb/l2SKkj8hn5bIp6n6tcjYPOn/QjqGq7b7c9jGH3BD +1ybF+28xpY/AoVExa96Wd87I3e/S8URr70pue8E+rh3l3KDvcuj8LWe9xDhT +ct0F86tDaxv0m5jMr0fBsb6K45ii8V6D/cbnk7J7TTqHNPZJ5zr9JkuuNe8Y +wO2GDuaF222N13PO/UJhsSIwBMtc1jkAnxeCO/i9P2c+7ZCewYxtY3dp5Btc +3xKOcivtkg83suY2tdCls505y8Gpkbz1YL8WPrTpzDB81Xg6Y5sPwwd8e5Sc +t2kZ5xPs4AxxbRTGD4T11oL3W0NmdsH2sLWqZI5eijP4TYy3K+Gz9s/XO37W +qZcDUctgxjr71MasyMu2grm8L2d89kV9gdP+mN8KzMF+V+ADTuNy5imxw9mB +Bn/DoZJ07q13LVJf2AQPcIE/cH921jwoqz5HJF/UuF56J2ltesW2+2VjksbF +4ue5ovlxpcGch9+DJeO6HJ7r90Trr4q3iyT/QdG95peq4369bP/wc0y983sg +9D+LH5xX6OyWovkBZsT+nGzsLtn3tRpHpLNO65c1vqKcvF90nt7W3haNq7V+ +tWAZamGz9mc1musnIxfoBI8zgQkY8U38ayXfKb3tBcdLrOB5IHr4guin9NWB +ZtcXsdOja1EX2GmNuqEeenOOmXjh2Yy88T3YbF9+rbrnjo1Y8feN6Cszo6a5 +L4aytoF+esf0vPvvPPm7omTZqdIzoP1PNM7Q+sqSexM5nxs8bG72fEvZfKeP +wnlk25ssT4+5G32VGnwcMaL7UNZz+vE7Tebx7rCL/bPyf37RGOBXV5N96wju +4QP12BH18pnOnJDs5/ShgvNHL2ONu5L4wQisbmpcWPbd+ankO2SrtWR5dHcE +t98seY91cBsXveJ8g++qtnr3+Jacc/la9KP7caccybhnHql4vqns2uoPPlBT +9Ddq/HD0H/rQzaxzTf9ENzbgPj3+XKNrFFyPZoztFK1PLrqv0RPBfkzgQ06I +Ba7AGfiDD+3hR7f0vVh0rtqiv9Bb6F0j0b+KUeNNo+3HhYJxwHf6IzUM3uBO +fyO23qhNeicyxMq5O8jpe36z753vK461N+4LZLAxJnT0xfqeOMs644WYg8+4 +wL878n4quHg03k7t0Y+Zg1ktcIOz1Dty1PrV8P9c2fk9W3ZOa5HH03GfUONz +I09dGqdVvLY+3iXcd/AWfK8EHuNHuU64H+5Er6Zf8X0w675MX++I3s79eC3e +RtQKMtxxnfHNnDXO98T8UOiBvz2Rd/i4Ju5TcILHYPXsPHI7xIE/Cv/71R89 +6qWK/bmhuNbGe4Z3DT7RN+hLx/R9TOtfVtybmcNB8kb+iH17xT2Qd83Gou8D +7gL42BacXBe5Rm4Ztd9kjpOjo8HjU9R/wXzjjmMOhoyzY06tg3l/3GXYR/83 +Vd87vLmmR37wf7hgbsEl+E/eqQFq6U7kCH7ejPfESMm8hb+dzebmBu49xdXQ +5LfVgejVDwPzlrhria0vMHl6r8bdiv29URcD8a7BH/I5EDkl7/RQeib2sLtN +G4MVv4eOV4wJNQk+6NseOjuiXz6I+roWfWxU1bzMVu3rnLi/6NNd8V7irjsZ +b7Ja8IezYF4LW/StobgTD8U7Df5wDy9v9F08FHqeymQdz1DcR8PBSeyxDjfx +8Xr4eTjm8O5O5It9+txw5I5v4kWmu2yupNGuKTAmLvK5Ld5LM+K/D/+B+Ob+ +6Y83F77Dmf8Ahd/MeQ== + "]], + PolygonBox[CompressedData[" +1:eJwtlMtvVXUQx4f2Fnqf55yGJSyKaQwsvA1S7CVQWtiYYMRW48pEsK5MKG4s +EDdVIIHyKPWBuvGxkMqjLag1mJhg24QCxaqxUBqXRGLQP0CRGj9fvywmZ+bM +zHfmN6/mV/b29NVFRC+Ug1qTiBpMS0NEIY1oQ96MvBbdBvjxcsRIfcRh9K+h +/wFatjxiln8dlYj6YkR3gf+NETehpxL7bgWjHb4f/1XIV5CnkacS88fBK+H/ +Nv4PS8RYETGUj/goi7gIzmWSvEmsWmKseWJ2olvE50dit/DvEtj38XmA/0m+ +v4IxDF6V/58gfwxdh2/D9jHiNaTOWbn/TIyvwLsD/gb0fGIhMaawlcOH6Hfh +8w+6ffjvhj9CrCo0h/4GOG/AbyfmJmJ9Rs592AwqP/gCsS6g21N+FBObVuxf +pl53612zY8i7ke8h/4S8gH8jb53B/3bq2hwE41TeNZrn3+qwzS34i2CXGlwT +1aaRf/vJf2xZxAr4+/hOgt+m3kA92HSAtQX6nfdVmyKeKfott9BNQt/Cz0Dz +8OUm6+awr8AXm8wLQ1jPg3GAvD4l3yHqt1fvb3DNVfu/yX8A/OOqD3bnsWkG +bxT9KPwhMM7nXI978H9gO02+G8m1HRoF4wHvPYfNOex3oTsK5gt51+xgxbqz +IvQTqXNRTb5JPQtLJc+WZqIHuY4Ys2BfRf4en+/wXSS3F3nLNnSvYtOdd09f +qrgXndQ7Q78OrOGCZ00z8FfJOStXvfHfkmuuWqtnz+G/RC4PoRvkM068sZxr +oFpsyzzb63hjF/xgxbE6oAR5B3hni85VPdSs/wl/Iu+Zz6feXb1hruwYijWO +7U6wRjLPwgR4X8D/VnGtd4D5BL2s8d2O3wRY66F3M+/CCPbvZc5BuWyFjuK7 +PPUuaWe0OwHG5bx3ZKzsG6FboRnsT7zj2nXN1FTFM6fZk0838teZd3GKd60B +q6/ivqpGY/g3Uut+dDXsy9ClzHsiG9lOFWwjnWamig8p/H/TdNueVYw692BW +963sndQuqse/IG/J+eatTzwba0u+ZZqRC4lnVTdQt3BP6t3WjL8O/zg59xSc +05eZb5Zul27kHPxK4r+Zc4wnwXoajIGS36ybcD31bdGNvJZ6hjXL2gnthnrz +TtG3TD06mXhWtHPavQ8y91o7ol05k7nXuhGfw3cVfaN0m1TD05l7q5q8D59m +7q1qth/sXjDai54F7dhbRe+wdlcz9x/ai9tK + "]]}]}, { + EdgeForm[], + GrayLevel[0.31034992320869104`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFV1lsVVUUPX3tGzq8e98l0sQJBSpDq3FkKoVQeJhojEFMHIhGKZQPwCJj +GBLgwyFqAAE/9EM/IA7MEiMICqEOpKUFYqQtoIlh8ksNEBUlQl2raxE/Ts6+ +5+67z95rj3dg07ypLakQwmMlIZRifz8KYR/oq9ij8hDG5EJ4As9vxyFsLAth +byGEI/igHWshzlMlel+HbyvSIUwBfQ30NAh7FusS+JozIczM6N0ZyDyLlYKs +AXm8qxD9c2UIu0DX4L6d2HdgDc7pjgVY/0LmvmwIX2DV4rkyrfs+gPxf8e23 +FdK1AvrVQ9590LcxCaEL907EPrBfCCvBcxfoQZCxFzJAhm7o2AkZHViNVSE8 +Ap6NkLMF9NOQOx26LgNdBN0IeiD237FnysW7s0r8L1Nn0Kuh022wayb4WsAz +BPJrIXs+7rsV5y/gfDbO90OHpozw+QnnD0Pn8dD5JM7qwDsauq2HvEch952c +9mKV6ArwdEFuG75di/vWpOWzA3g/HfLnlMsntfbLS3huyMkHS3HHMtxVSIQp +sR1AHMBzHqvL6xzW1BL5ujIjf3OVZ3RvV0H0CewTIKsRMsdAdhF2TcLqTQuP +eRXCZFVaWK5My/+Mg0NYcSKM3oykS5uxasHzZdC78T5JZO9zkbCbkRF2Q0vl +vw7HIvWjjEk42wx6E9YbkeTznvO2i/YNA+ZpYHUcuNRAp1HQfyRWK3R+C+ez +IL+7IKx7sH8J/lX0M+T8Vi4f07+DwHs76CzoFyvlY+p4C/ZDtB90q2Oe9rbk +FfeM+XPGvAT08grdzXupXzV07o/1EDAdj/cjsDfhfHZOGM7AXQer5NujsHOJ +fc34KZYpB6tx3j+lHA34vh37ili8KfMTszbjli0Ii1xBz/MdG024azh0nou7 +RuD5a5yPxL4Nsrbjrl3Y704pBplT7Tj7BvSooNjf4/OzxoK2M8/nYJWWyB7a +RZ3oz9U55eRfsWzIRIrx+ZbTCf0C7HwPD+9i9eJxN/RbB/4NkP0kzupSynE8 +hvmJZH4FnlcT5esr2D/EOgD6o0T+a7UvHohl4w955UWPz+mrbtMZ0/QR6xtj +gflF/9HnPOt2rJGnFza0QeYyyO7hu4xw+iOWj/6MhSl5iPHYnPKYcV5WqXhl +rOb6KY6y2BcUlP+LCtL9kHV7LVGdeD1RLM51zjAPZ5QrF8l/wr5gPFQ7TuiH +wfbF4KxqJf3H/B6fkl8HuyekTEeuN8Qpax3qcR6DbixV3a9zX+hkHuJdR6K4 +bkgJa+pH+5jzWWNOjCmHMvg9+8lC94JngMnWKuXEOMsgbg3WkVhux/ttVbKZ +eJyxvYeRa99VSPZi2LcoK9tOOAZ4/7q09GSNeT5SPA5jzYwUV8fzspk9p9b7 +WNOstZRNnRkTDaY/wfcHQX+cyAeMe/qe9tU4Fz7Duw04Gx+prtFW5mAxpdig +XUMYz9C/DjFwJlH+b0mUT42Otzti1e990HMc6Mmw+/FEdY46sK4vYy/Hczve +zyxIp1nYL0eKiQP4dmKp9KNu7APl7gWssRN9Tj8eLvsfe8Y19WQ9pc+uB8kg +P/sa46LGft1sWZRD/ajnj3nVMNKj3PcvGYvZBcnbBZ6LGcXNZfdB+oxYkZf3 +kn9hQXWJcw2xJuaMW+pGLBa6zq3xt6xnnF0uu57xnDWnuaDv05F82WhbeM9I +yzmd0YzEXs6YKlp/9h/2XNbCHa6ZrJ2trpvXIfNYXnlWjnt2xrqfPZC6kJ82 +r3ANXwqe9WWqdZx/mJvrnZ/sUayhjFv2TN5N+4gNz2jjqYx0LNpnE1yvR8ei +R8WamyiTsk/lFXusYafz0oH95OZIcTmWPSWWjvTPVc+Q3zt+6F/24s4y4UPc +iOtaY876zvqz1TVyckq5zPozPKUaTv1oH/Fk7eS9I92LGkwvj3VOvZiHnBXZ +4w5Ewpl4M3dJ06fML/IwTh6MVUduihTLE4zNU4l0OBSrFu/3/Eld6OMb8bnf +MVq071nrlmRVX8jLnc/0F2Oh3vGwyDw3+Nfbp6xZ012r74/Vzyoj6bvPOhPb +TuPJPOLMwJzvKFNeUzfmUIdp1oVq5xp7UF/ul6hu9Pd535n5e9zjWIfpN961 +yTnAXGDvog20hbF7zbWRNXK/9ax1ftUa8y2uLawxvZ7he/3vUGmasztl3ov9 +gs+JCRf5iBVxWmJs2e+ZC2vB3xYrfupj5eY01x/mLGcjfsuexthiXFFvPiee +nU55fjptmtiyl3OmZV3e6Hc83+tvy1yPeM/2WLNJ0TMwvyv62ynuB9Sl2rWP +mF+JhevfserZRf8X0Bc9nhOob43zgXqdtA437qDsGttFm2j3RddG8p92zvNs +mv/LipHuvWKde40/Mf/FuO8piP68oF7C+LqHGEfSfyDoO91r2HM4T7FPsL9w +7mBPp03/xOLnd5zVeM+pSDX4iOd34kQ9iBV7KfON8dPkOn/J/u/1f+buSL2P +PXCo/wNYT9ireV7nHO80zdzpML3Yudg3J5dqTqMNjPGJrlfswdTlaEFzXbN1 +43zX4hnvmGdRzqS0h3Z9mpdPmv3P2/e/5DpMX7J+sV4xZi84tnnW5+sS1bBu +0/8BD+ns4g== + "]], + PolygonBox[CompressedData[" +1:eJwtlUtoVVcUhnfijbnn3tyccwQdFApGg+8HtjXW+MBHdOLMCjpQNDEGMTWx +D2ySQnUggha0agc6VWyNJrG+EY0GH0HjC0l8tLUUaetIHVgqOqj6/fwOFvff +Z63177XX+ve+FXXNi5uKQwhrsQy2vTyEUYNCuIelaQijZeC/syHcBD+PQhiR +D6GU38HYG+InQHCmKIT/wf1JCNdYR4PhALeUhVCRd+xQeE7x7UlJCP9g84mf +B+c9Yuey+RxwdyGEjXDdguMY/klxCEX4esjPDglhAzGbsq5JtXXgf0PdHcR0 +gn8SB/4+8qvAr/i2H3wAew3+Hf4FxNZgM1lfzYWwhBpj+KvJOw9eRb3rWNdR +1/Jy9yIHvk/tEXaa+qrJz4Enx8atWAv4Ft92q6HE307M/Sd8lVnvUUXMZfLn +EP9p7B6oF7tZ72R9NPZZXsDRBZ5Nfa1wzCW3MeuaVftC7BFnmaoY8CU4PwJX +xD7rYtbDwXeJOVvkGXWz11jWGeq5A9fncN4peHbj8U8h/md6dgHfNDj78H2L +7cq8nxG+fanP9pafveAHiXujmWv26rl6L45D4CzfKjlfFRzfwN/J3k1wFrMe +YP8PC/4mLE2dIX5PxjOrod4tcOyBazMcEet/4ciXWEOnie2kP5/Rn3JyRxL3 +BzH3B1kj5+BOUs9Gmt6Gb0fsXutMOls9e18kv54zNMERo7HH/P5I/lZyS4dY +e4/f+xLsr8ialDZHsG6jhgbyTxLfBmdvxjP5BP8ivlWWWjO38R1mrwK2Dv66 +yLgr59r1bSX11OU9G2mwB46xxeYQ1+zYs1ePfgBfx/rANzQv8Di4uuFsJHcG +fA30aBO9GgrHGvDRnDUlLUmTNXnfUd1NaWwp60OsvyOnNrIGpAXNsDTxGXVW +afwE+Aix7WWOXY19T/4H5DRHjtNsnvJtetYzupJzjapN39T71fjXR57BDOkb +7uv06zd4LuB/hn9m1jHV+Bfgv4b/V/w98keenfZUbG/Od1k5rbFjxdkWu0fq +ld6AWeCWxHuph63gZnI7ynwWaa4LvCFnLB0W0NBO8A7sS+IPsx5W7DerHfxL +wXdDGpVW15C7q8x6kuYnxr6b0pC0NC32WyDNSDvSuPbSzOrhb0/9Ft7EVuA7 +nvrulnDO0eTX5v1m6a3SzAcSv7157CF4euy3VW+O3p7+gt+KWfB9zPpY6rdG +nOL+OvHZ9GZ8BR6Teu/N+L9IrY1leWtXGvkvtrbUg5ex99TeeoMPpr7zuvt6 +ozeq96n/S9RD9fJ8wdy6s7q77wB+qdgH + "]], + + PolygonBox[{{4389, 2686, 3137, 2195, 4485}, {4487, 2196, 3140, + 2688, 4390}}]}]}, { + EdgeForm[], + GrayLevel[0.4011560963420895], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFWFtwVdUZ3uecfa7k7H12OlNosRVGSayCDqR1KJckwx2MY63y0pm+2Ito +BeQmhEkCVDnACyWQAEEHAvVB+iCSWGhtISBQkXYK2D5UsFM7tULHzrQ6pIKA +9PvyfYwPa/611+Vf//ov3/+vPfqJxd9dlA6C4ONUEGRA++IgOBiigQ6WguAK +WmchCCZgckEuCGZgzehiEHSg3+7G/p1g0ubvseC1vSYIGtGuYG8x1N7tGF+f +aP0Y0GHg+Sb6JdB60Dq0DPrNaEvQZuGshe6Pw97j2HMMayaB/joKgnkY3wr6 +Ic4ZPiwIruOsx1KSY0gGzLVhzVew/pNKEIzC+MegBzC3NieeU7Hnyby+B9Df +BLoC4xtz6i9PffE9NtC6Nd7bDj0kRX2fhp5W887g0QY6F/I8hLnrFd1pZaT7 +8Z5fAp9cSrJ+G/1ZGc1xPJOIXsO+NPbUQK9PoD8zrzVprF2fkzyUjWPcz/FF +aEutt1dAG2lQrFnF89FqA9lyGfrDwXcj6HNoozDe7TV3Wp5VXj+F45aTY61o +21Ian5qRTrpS4sPxqT6XOpuIM+7x/g3myTWN3kvZVpoX+azD3ffhPuMT2Xyh +77I8I5mfRKsUZV/q7mf4fhlnrKItoJ82tKOYK0DwifC5++HDZ6HDDqzbAVqL +vSPS0mmT9XUWex9Oq8+zaM/6gs7OY+5xtGxKOh9ISc5m65k8DofyscXkh30f +5rWHcnEsRP8K6DfRGtCq4LOBd8T8SdBetO8Eig32p6N/rAx58f0ryLwfPMdB +pm9h73zoZRf4d+Je3aH6POcz8kT/Wk6tiv5M8DmAPWOKssUl+OQLJfl6Efw3 +wj+7MdcK3+rJQoegHWh70H+pLJ2wT/0MB5/erMbGgsflGsXNf7E/X9adGXvE +BcY/Y4C6pp43FjVHm+VC2Yi+SjuxD7bBYFq2pB0bsP57thNtzhii3bm23XsH +cuqTx7+hk+lY8xHopqJikvH45aywh37ex30YnwfajPHdaC1praO9aWvqjDo8 +k5LsDZahriCfo791hNLVLIw/X5JOqc9ajF1GS2HNtBrpiPq5lBHm8H7j7dvP +g86D7tuxrgV8r1aECTdA+7DvYElnMr7XG3MG7H+MTWLMWyXpmP6y1/7ThbH/ +gN8HeeEjcXIgkR/tNfbS76rGjfXukyfn95kP/Y2+1g2ZJ2P/CYyfAn0RvrgZ +4xdB78NZf6qxvdF/p0aY/hP0u2uk+6fR76mRLRehvxP9ERgfMUx4TZ/4F+g/ +a2S3xTgjh7EX4U9LsebPNbLl57H23QItRsozL2DtFLRTOPMt0Bjz7VnhySvY ++yh4nMLecqQ4+33i/JRVXviENsB8F+YTjFXQZmP+Bu73KtpTGeHtgPPRu1j/ +DvpNtiH1Rb3OzYhuN/4RT1dYd9RhD/XscWIs45hYwLnZGeEm8ZC+x/MZs/RN +7qd/3sKa0xnx+CVknQPaGQmPGIvEq5sYO2TsZp6lLMSQqbH89EwsrJ1ivG13 +rqYeKB/zOnN6f15xwhhZl1OeY55c4nzMfPfDivbSDsxJjO8M+n2hfJ1Yv7Qi +nVP3HxgLiaNVYx79rWrfph/Sj8nngZT0vgDtjbQwh3fkXe9Af2RGaxiHY52P +GI+8I+UnTrVYh8RdYnKXcZ18OP+p8Zb1BuVlXDL/fBQKf/jNWoF7uyPJ/oDx +vyUvue5H/1xOtqfumo0l5L8PfC5bVq5/KC8ZGry2x/luleXnPo5RZtZHXEP7 +DWaE3Y3Ozx32n9s5iXZ/zr5G/yE27zE+d3hPl/P+BvvGZvsR+bSmVH9QBtZf +x62TVsvGnFXnWipn/Og1hrQ6j7NG2B5K18xBEc4vO76anRuJh8xHvCNtFITy +EdYF53PSY4PjocH6oU66rZepriOIgdT3PMfbTvMgLs5xLLFmanI+pz7TlpE1 +DO/U6vsS46vOlYOuHW7bhPcIXbes9LmL7UccnxIrP1wsSy+t1tUm12OU9Q+J +cLY+kVyzLNtG6582Y95Z6Jiivy93bdNbVL5j3mMc5sy/6n2MnWVePx/jN2Nh +7Y1Ydq7a1q3WCX2DOqPuHg1Us9A29B/Oz7GfTPAa2vcz5yPmpSuun1lH14Xa +S5uSzyLb+G3jMPH4jaJ8cbjjmHdivMy2TNTFkkT6useYSj9gbcS44T7GGv2I +eEV73RvqzrzvDyrKyWcrsj3tRBtV7ee87zdC4RZ1u8I62eY+9c99Kz1Ofa7L +Ki8Q1+bnVUsRU5ibmwquObO6K/2KNRvfLSXbYYFlY55803Mce8rj77tP7GD9 +k7ZPEvPuMKb9PFZ/DfQcxsKPfbFkpryUc0tWNToxlLmTOM6aivtHWm8nnK+Z +twuhZJwW6OwFtgX1zHppuLEkazwZwNjcony907mmP5L8N3yHrX5zHY6kp2t+ +D/Y4zqmfWa5HZzjW2GfMUJ5PjTOkV13rEveuez3xnH3mMd71pv35CL7zofTG +fdxfsF/QP1jjsf6qD+Wfp0Gnhbr7AdD7QtmCYwWPz8AdLmHP4Yp8m35Dn2H+ +ZR1CDKp3LD+byHaTQ9Wr5Hevef6oIh/6MWhbKPl4xvcjvSf3J3pz9TquqV/m +BcZ1v3ME7cJaY6brW461eLzO4xmPz/Ne1t3bS6q96b+RsXdULD2MjlXzjilo +D9+Dg84pbUXV5fQf1q+bXDNTxznrudd6po12+A11HjSuVXzla2Xb+a6ZWZ/n +rB/GDd8WrCfoUy3Og8Rt5gDGLfPRLcfkurLw6S+JaiziwkXQZRX5/XLQduyb +HkqeVK2wJg36XlnnE5t7ysrlf0N/WySfzmHN6li2aQXdEqvWaowVS93Gga9j +3U7UjhNA15ZVC6+FDF2x8tzDiWqxnY7J3lj5fi/oQFk4+nokH1ltPTDXsc5g +LjkSqU47X9adT5vPXyPVQb8ty9cPGR8ob7vv2x+rxno9ln+1efy9SPn8j5Hi +hvHDOLrgcc6zLqbtWfvtwv7dWPNYpPvwXt32lzrHDnPxFefj1ZHw7DTWbkn0 +NuhM9C+D/ngs0bkLHLOMoYnG3/GxdHG2LH1X7SfMIXWONdqz6LuMdA4gHtFH +Wf8wn1b8lh8X671LmV/2e7Hb/W1+D2+NFZe7jQmvRarnD7BGjb74v3JXRXXb +3RXh2qvG6nbX/IzBg5FkOAL5D0XyT/ppFf0HGSvgc3csLBgDWpeobt6QiMcx +vx34djlYUN5i/PY7hnclGn8c/K7FekNejf1/w7FZTaRLxlyf9xITiFuJ3yx8 +56QdaxWP0458+3b6/fu7xP5cVl3PmB96+2Z1LtczB593PUbKGOSd/46Y6C/p +n8jQm5LveIyfx/tsyTDJyvx/0u9H1hHnvLfBfdYXQ2/6rPTQ5JzKc7nvlPPm +kK2Mq8SJg64XT/pfIf2RePZMQbXR0H+agvIY3xr8/8KanZjYXFBu/E1Z8cU4 +OwM+j7DmBd0c6c7jEmEU34PMky3GLPYvJFrDtczNzNFhInzrsy1YH/Cbfdqf +737q+Kd+e/NfztFEOltR1v8Y5gX69mqMV9E/Xpa8jZaZ8cdxns06sd535F15 +z9v/pXhPrqc/jbFOqJs699+HfV4rae6cay3aZZff8nzT8x8Z44txRn+iXZjH +p8O+a0q601cT/edqipRnYr+1WaOV3X/atcI/jHNHnEce9L8Y+uGz4DlpmP6t +8D/BMyXN0aeO2q/Guv5j7Vd2XiP/M37Pvg16M1Ku+hz0f7HkGQS9UBamTDZm +H/b75N2ycv+kWPUH3zusAfZHwsZfgO4oC9v3oH8uEp4T14+7rnvEOfGkaxj+ +z1hYkk/fhYvuwL2+Vqu1J7z+/4E6n1c= + "]], + PolygonBox[CompressedData[" +1:eJwllltsVFUUhjczw3RmOnPOnJoICgoNFFDSRKIhBsIloCJoVFReTHzxRkKQ +mzwItEXk/qIgLTeRmy+gidCCIChyEylqrKAPAkYhoKAYFSwqUMDvz5/MSv61 +11p7rb32Ov+e6ucmPzkpFUJYh2SQ2iSE+9IhLMiFMBO8PQ6hBUM/1raCP4pC +WNEphDHou8BXkA7wKWQCuBKZif9gZAD+Q5FRJPiCmB9KIVzFfh3fJuQd8P6S +c7WjX0S/htwEv4GsBh/AXpsPYTM+S6jnjiryV4YwkPVu4NOs1WDfgn9z5D21 +95LOIbxSDuFM5Np2U8Ma8G/4d0EfSczv4F3scxe19kF6UOuekve6jFzCfwpy +HrwR+3rsX6P3pE8NrLWBZ5TcuJXoK8B1yJvgC6ytAreV3Iss0oF/BTVvoRf3 +o+eEWfsg7R6ql9uRRuwPo3+osyB14J343564R+qVeqLe/C3/lH3aI9es2jch +m8E/xa7lMj4/grOs1dObGPkH/Wn0ZnrbFf0G+m2y41+HzEQ/So4dad+Z7q42 +du3qmXrXRo+7przHaupL8GlN+w51lxdZG02te5Fl6JORc2nP1LbYNam2nllq +L/uOdFdj8L9E7LrIvdWe2ls9VC8rkOvgQcSPALdKwO9FPrvOqLPWsEcDex8r +hlBNv29Ejt2D7Mf/Z9anMU/15FuMtLMWEVuHdNbdY59bCGF8RQhDOONN1nIZ +5zxe8sxodvoiPcH/Igmx55AH8A3oeWwjkRP436MZYc9HyLUeGQU+Rf4a9k6h +z6XejVl/Y6+DZ2Efg/1RbOM5Vxn9L/Av1DOJmCn4LMR/Ov4fs/c2ao3xeRlb +X2QreoQ+Meccf+a9h2LPssde4vcRzy98Ch6H7XSlYxN8lxP/B/rwnHPWY69l +bVjONS0kZk7WM70A3MF5b+XsA1lbwPnTSDHlGXme+x0cuxeaMc3aIWIO4lvJ +2T4DT2Tv5eRoz3mfQeSewNoz5LoX2Vl2b8UpS9hretnf+gD0aeClibmiCb0X +eB6xvxZ9t7rDGmL6k3sLMp/8eexHsdepL0iOHm4i5yFwS4XPmmetKe8zH438 +7esb/QZ8mByHqP8J+vc5eCqxZ9lvUd57thd857rrpcT3psbh1NtG/BlqeUw9 +J89D1DsEvQlZTm2rWRuH7SX85+DfA/sL4G/Zu77gma7OO1dXcl7LOedmYvbm +zInixqHYLxecWz3tx9rirH2epf7q2LN7nhwPovdCvzvjHvUGn8T/WNZvwgnw +Ks1OwXyhO9kZ+S0Yy/l3gEdXemY1q5rxAr5Tir67KmRDbC7thj0Dfktnzpgz +xZ2z0Bsy/mb07XQX3xO/kn3vBL9Pji70Yq16FPsb1beqHr1If64gtxDal5qv +gj8p+dvQmadS/5eJZ0XfzFfi07K5R5wkbpqXuNfq73zwU5FzqSfqjWZGsyPO +3hr5TdTb2MxaC3hGbO4UR4grLiR+a/SG6C1pjMxt4kRxo2ZUs5rlPiaDl8a+ +e/VkWWyOEleJg/cQOyzyW6AZaRR3xuZycZa467XEsygOmQPeFvktUU9axPWx +a9WbpbfrP/SqzuYscVcX+ty/4NnSTJ0s+e3WjGpWM0j3tL/pVGSuaSyYS8Q5 +Y0vmNHGZvqH+3NnIojmiD7HfFc0x4hZxrrillfihOXPM4YJnRrOitY6y7zKt +9wRckZhbNAOahdn4jiiam5UjRb7deb/xeuvFfS349MmZA7NVfov0Zurt/D7x +7GrGj4t7Y8+mzviu5j/yfxG9+SfAb5d8V2vpVz31HIn97a5Cn4G+L3Gt4tT9 +4NbE3CaOOAI+gDwezHkHwa+WHauZ1+xrT+0tjuhV9jepb1N3dAX7GvKvA69H +ZpfNIeISrTWUvSabetCJsy6qNKeJy8RhzQVznrhOPfkf0CRXRA== + "]], + + PolygonBox[{{4095, 1304, 2669, 3223, 4636}, {4635, 3382, 2667, + 1302, 4093}}]}]}, { + EdgeForm[], + GrayLevel[0.49196226947548793`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmgn0VdV1xu/7v/9w33Tfe4g4YxCDEziAU7RGQGQUnEDTOg8IJFhtbVdX +BETbkpjYNiqDiGAUBSIYg2AUBFMDoiIoMmhVEBQEBZRB1Djb78e3Xa717jrn +nrvPPtMevr3Pa3f1DRf8Y0OSJKfkk0S/ZHIpSc6sJMnMQpIcoQ8Tc0myUu1r +0yS5QwSNet6sJ8mHen9D5Y5oe0E0G9R2l+oVPXPE55BikmxU+2uqT1d9f33/ +VZYk7fX962qSNDQnyUKNUdIY17ckyXA949XWtuj+9F2leWzQM0jPbo3XX33H +iUdb0d4r2mnq+2jOdTXtLSdGfbBoe6lfD+antu6q/63BNJOi79YmrVn1es7l +lKhPE+1vU7/vSE3POAeIfnne8x6v920aZ7meIao/oOdY1XfFHryi+hyVs3Pe +x+vKatDaUtUPapUk+4nXISpbq/19tf+Txtmkdf9Z9SNVn62+XTRua5U5tT2p +bzvF4uei76r3i8XnbbU9qno70Q9jjJzns0bt09S+n9oPUjlX7+vVfou+dxPP +ssp9tJ+DaNNZNInmYfEtxPfuel7RGic0+0zaJW7jG31e1VOONU4Wn99onFEq +F6jPfD1F8RmZc72XaB7J+xvtD+bMk/3arn7jVL9P9Xd1aB21J6ezRrX9Qs8F +ic8fOdgmHl/mXeds2ZemvM9gbLP7nJ3z90FBM1rvRxS8br5DNynn8cYG/bDo +y1hT9D4DWdAzPeqt1b6z0XR75yO+m7WW9/Rs1/tU0bys8gTRbFLbwznzmRp9 +GbuD5jAq5AB56Mk+qG1dyOfCZo8HPbJ2b8jb0Ngv5Gtp0L+mfdqkfTtRNANF +f6fqHUNfF1W8vt3SkZdFd6qecZrXtaJbp/ZrVHYVbapnQoP3YFzsSWfR3dPs +tb2YWI+Yz+aQA2SAEpqHQ2cnRL2N5tAknu+I5lPVG1W/oMnlZ6nrO1r8jfo6 +9VurZ6XG3Fb13G6vWbe6xty2q/1ttf9W7ceo35EFn+cZer8YOVF5tNr3KVgX ++on+PPHro3I189azQs8Teesw+9lLZeuC9Z51TIj1nsG+SUf+oG/3qjxd7zNU +/5XKoeLxdxproPp8qjUM0ft5qn+i+nWqfyse38VZfKjn4NRyUW70t8s1/q/F +Z5ja+mpu3zS7HfqHGt0X2qka76443116/7rZcsf763r+Pmf9WN9iO3Nik3UG +fbkIW6b6CSovUvuuFo93qOZySOp5LW+xTCAPp0b91rzl6rXgf5neV6v+WYPL +NVH/Y8zh0RavhzVA+8sm11nLXlujZ0Pis/2Hhh/k7pIGyx52uGfwZA4/iflc +pD2fIftzZcFtfBvb4LGgx26/VzEv5OW2vGmY/29qHqtd5vdlah8dJWs+LfFa +lwf9JNFWU+vsgSoPSC0r+KcDo95d42Sp9eBn6JP6dlHZNWe6zWE3sYXdq6bd +L9bOHrSJ+uaKZRhZpk8ttUyOrHhed1dtFzaLf+/EurGzxTKH7t+fs95NiTpz +xk7/uGhbPU77NrZkWzIj7A46uz61H8JG3x/t8HlAfYcVLVfYzabw3Vvz9kf4 +ZuwJtqSqZ7DqdT092I/gh+1HP04LHXlL488Uz7ai+5HKJ/T+kWieU3mK3nup +73GNnt/0WMfQWMuh8hkXSSYOy3wOtdjbvM70VI31u8xyw54hS6saTc+eItPo +GXzwje2L9o8DtH/99fQVXb7RWOVk8TpQY52DPxPPz/XeX/Vz8v6GH8InfCya +O/U+WTR9GUN8+qjsreej0PcBYcuwA7uZA/qqckuD++Lvxovm2CbrKWWnqPdr +9hyQ7bc01kcad23d/oDx8Uf46oOL9tfsZbui95O9YE+2ZrYDncJXso5+sRb4 +bY/1/iL8GradPekX40LH3vRDR1T2Dt1nr04OvFJvtl2g/SzNbz2+UuUXmdf5 +J5U7dEZtsVEq10uOt6n/BpWNVduzB6vGa+w1Y87W+2y1P1E1Fjgsb3wwO3N9 +TGZd6N1ovbo8MwbZt268tzCw3S8ld530/XH8g+onax8OqHm+zBt/+pXej1L9 +a5Uz88YCtZzn0S/O6Luww8wVnMb6WTu0PYJ+RM70N+fsex8MW4nvnxI44U2N +UUEmVa4W7Ro9zzd43C9j7MV6Oqgt0/N01XowUes7qcl2nHMcoPFX6xmc2D8i +68j5X+rG3/+rcrj6LFX9T3XTrgr6iYEpwOrb6sa6DcKWf8w8j52ZMemOxJjt +iwbrOnhsVmp7iF3coDW00tibVF6hPivVtkL8Kjn7VnzKpXmfI2eAj3o+/BSy +Niww1Vyt8RP1vSHzuXK+P1bbnJABZOEFnV07MILGWlOxnuxTs189t9G6Bibp +0miMgczeFueHHdoV+BM/3jloOlZdP0blQTXv7/7hH/Ad2JDB+KO85w/vE6Jv +Q2ZM1Vi3zcfes+5P1LZHz9ZG+yd8Kz72cfH4LO844LmK+RxdNd7BhmPLT2nw +eIy1VTTnq+3kmvEZevnXijHjxgbj4R2Z5W6O2kdW7RNuFv1+OssXsfsq52rM +v+V95vgZMBe+5v2K9623+i3S92/zlrevMs+jntkG9A1bga3qH7rQP3R0b73R +sohcgaN7BZbuVXX7lortYf+gYcz+cV7sE/KxR+MdHnrevmpd3BF4/erU/rJ7 +xAhXhBxyJpfGucwIn4F+fd5gGuKmT8J278ncdmX0RZ6pQ4uuHdtofQObgFEu +CxwBngB7oPffBDZDr5cGDp+ns/8/zW2+yi2JbfAb+M2qMciNmW39qvBH3SJO +Ip5aHX4Kf4XcI/+7dXYPVY3zplZtc6iDl97PvL7FlR98DPvJGIy1ve75XRZz +zonuP0vGiMQW+D58PfKInKKb+C3OdVNmH4UM4qfAvWBeZPrnYcOx5QfHOcBr +hfzMd2XT4meIc7BzYzTuHvG6um4fiP+7LjAneBMc8kGshTWhG+BzMAx6cEXB +bWDVSwr2XeCdSwu2ffC8rGC+t9SMfTdVjRGwSfj3G+r2Z+3rjr0nRN6AOOaG +1O/ElA8GzgHj31JwTP+0eG4T73kqc9KfC/V9tOrPhD3n3Kdr3YNKnuvbzbFP +iW09+w3u3Rl6z7pGF5wjID8ARiBuuD5nXXkmeI7NrFfkLcZWjXPvqnrMqeFH +wGD4dmL2WZnj5BbRn6FnObJVt/6gRxdm9o17fWRi/V4cOo4NOaTJdqRV3bF6 +67p14orQi+WBtcGdN9cd93VSOSdzrmGuyhWZbccrmX3YouBPnIbMI5/kJI6M +vARtKxt/wGYrwyYgO22bHFs11Dy3JRX7VzAGWOff68aa/6HyBJ3L0freppXt +FPbq95ntGvZtaWI72zrifWSAWJFzfyP0FBw7S2uc2WKfNK5qvHNm5lzSq+H7 +zsrZD64M/LYr9JY46eCIld7K7MvXZsZZHQO/PRr+FL+6qOBYjG/V6PdyYOod +gasvL1gPke0hqWUdPT+r6rPsVnVMAebFfpwlmpbUenV7xTI4X/v3ZGaM8lRG +EGHbeKT6rkmN3bF/YyS/Depzd8HYFZvC+YDRewa2xN9yNuj3q5nlZ2Vm3AQO +xN+D9cH8qwKvDggsjZxfH3yHpn5nHMbrnVpH2mgOXcv2gfjqWwM7watP2LdD +my0P3/u98bG3+D/eqTN+3+iHr5sT/m5V6rUiz2drrOsq1rkbVXYr2l/tUPnf +ZefvrlF9asm5o4tU/x+1v845t3Iu77uqdeSLyE1N1vfzS7ZTA0U/qWxfVlZb +l7L3GryIXcZGY3uIu7GF+Gn08sCafQ2xLjQfBh4Dl2FP0QlsFDgIf4efuDJ1 +XNk1bDE2mdgTHQLP0Oc+zeGnWucjBctsj9ifj2vG3mDwXprzlLL3vH3YzLuw +Iep7Ttn28jhyH4E5wWVbImd3qfr2L1mvBqneuWz5urro9bP2eWFLF0Z8xnom +R3z5XqyLPO6mwDOs75LAA+Mi/4bu/168LyjZB/y0Zt9FjgQ8NTsw1fCcc5rL +w0YOjzpydH34yz9nxmFPZMai+A7s+6iac3X3iedwjXV8yfkjvoNV+YaP4f3w +mjHlbSGrs7TedaL/UWr9JveGTLYPnvC+WDRLy8YKowI7f5+rGxo+KIscAOc4 +qWrbjo3fR/22qP+N+v5E0Tlf8r2PtTjP8lKz49cBkQPpmfp755zbyXsw139V +v8EV+6I3xfOmkn3e93kZ/PK3VdvKgZlj+rmhR1NFf2HJfpcz/6+yz31+Zpp5 +KhuLzhewXzc3mSe4ZaDoHyrbtg1VeVzJ+U2w881B0y21jh6vsW4Tzb+VnddD +X3uWrLNnFp3LJnd3fOA8MN412t8R4pPPzI86vr5Ti9+pH150Ph169H5IxboP +DkUuwCfI9Jbv88/ggdRy0yFy98jSNPSiYlu+RPW/lCxzswrOG5Nv5DzK4NrE +uBx8/k7NbZVoxy/hE7H9z9d9F/JCPbBh5NufFu/5errlbJP6VGyXyG0yTjl0 +Hl/H/cX2kB0w3kLRLyjZdyGrxKWsa0RgaOroTevQnQ3Bh/7Y4NEh28/VnRta +onKZ+N1ZdJ7vDpUvlew7z9S+7ltyrnYK9rzi/eBOCNwG/iCnTUmczp3D3TnH +OXnxebZkXwPuYG6c0adqm1h0Ho2485HA7Rtr9jnEmmAuMCo+b7ro+2vcxQXf +L70R/n1Bzfczcyvex23R/mXN+/+FyhOL3mu+Ywu/K3jt8N4W/FsHNqSNc+4Q +dwTkDInz2C/w0rLIGYLzb4n1LhLvbwpe72bOVON11F6tq/m8yVsgY4/HWfQs +WraQq2M0nxbVV4v+m6pzbtwF9Ync9Tkq24ZvwkfdG3lC8oWnR977TJVHiM+X +4juTXGPgPXDfKfp2oWhOi1wEGG6JnrWRoyBX8W7E+MT64DHscc94yNWBi14N +/AkOxZfuLNqf4g+/LdieNxSd46NPWe2b9T4sNW/wBOdaCd1hX+bp+1NF5+z5 +Dh261Ki+G9R+VWpd514QHV+QOXf/NHmSonUA+Se/sijWtr5m/XurZvwCX3JW +4O968B8dOJ3zJkYHf+CfOGPOmrWApcBUCyKPtTVwMnvHOMj4pLrntqJmfLok +Yvt3Ne+3U+dHd2qOyzTX7uTdta4PVR8JplP9XdWvVX2xaHoXrTPIMfJ8n3i/ +rPZ7isYT5ByYB9gAHRoRerQn4t/mVhFnN5sG7NU7fMTZqXEkGLJHaluMfcW3 +PBa5PvJ+j4WvYbyzgx4ePYPPI5rLmyXjYtbTI/jsHTPGxXZ3j/ajVHZKHYuC +f9el1t2/1l1/tm77Mivy/3v3vtn7D1aaFbgdP9Oxxf6LeIK7BOILynWR+yWf +szbqe/cp8jPkj7kLBdcP0njPis/4qv0454AvHxE+Gz/NXcOzERcRv6yLO6ke +ddsJMPjUwDdge/wHfgQfg70iVmS9xA1XRSyNjeuT+jtlr6gTpx8V+8P9HjlN +8pn4dnwA9v+w1LiD+S8MGu6pWdNh0U7sQm4ePeWcjoy+ayL2+SzklbgNH3du +U8QfifMij0cu8qm6sfCTdeNX9hy9Q4dvD/zNno2JfRspul+jo3XHO20j5uG+ +knbmyd0rOU/8GjrHvTDyzf8Cfpd63pwxWA2cdlvd7bci/3XrMjp9Z935Me4z +OauZgbGQ2WWh4+zdi+ErmcuhMR/sDXLN3jxDPXW+dVm0M8bG1HlPeGLnlkX7 +qLjLXkasWnff6zPr0KrANPBAl+CPP8GHsEZk/Y7wVeQm30mdc8UuYB/IWRIH +vBBrfyFyp9QX102zqG7ejwZ/1r0x5kneiHvfgRHn0p+zRk5YJ2tkjqsjRuI8 +O8WZLq17Pi/WjaFoR89eD8z5/X7CC7xBjhme02IPF0Yd3muCP/LVIWQM+To3 +8kK944yw/30Dy4JXt8uebCta/2ohy8TdxOYfR3zOHR663aVm30/OiBwROPdf +Srblm6ONWOvUuOsBJ38g3m1kZ/85tQx0Dkz1Ff+nKPu8We9rsb/caaC/6Dn3 +uueHjtAfHSYHjD2jRGe5Z8bWYfPIH3FukyveZ/SnEPYAPw49eszdEOt8iXih +aDlaEvqJ73g+9pF34qv2EYsSRxA/oXf7E3eq702pMS3+AOw0OnAYayQPwhw4 +626RWxhV9Tl3jLPmnuSkiPvuiXfq/Pdk37L/fzIi7CLjnhj07DPrIN4k7kSX +0eMdcX60YZ8fFp+His5JkzM5LvhDtzNyLzP0/fWS7/q4e+c/BOTtWtdM/5r2 +837RrCg5D8I34skHQn+Xh1y9J5pS2XmITaoXy86vgH0Gxjm+rPZPSvZn76je +VHbu+ZrUJbaaPMOwsHU/qTm3x50/8VmrsmO0q6IP9KfG/wC2iWYj/+Up+44U +v35d6j3CPwwJH4EdHRr8N2ouTxbtA/i/BnEWMRl7e230nRS5L3L254dODQl7 +f0TYfMYZHPT4PDDqaRF3s5/cZZD3vTD6jolzHRLyuT5k9KSa/8fwQcV531eK +9lWfF4zXd0ccPzx4ogs3hT5MiNwHMscczwvdvyfu5rijw/YhK5w/uJXcKXH+ +co2zq2SMwv3h+MhbclZ74ryY+wWRa/1//qAt4w== + "]], + PolygonBox[CompressedData[" +1:eJwtmHewVdUVxs9995Xzzrn10UE6KkiTIihBIXQVLDQzlsSACigGjXGcARFN +YmLJGGpQQA0YUMoMoFSxUBSUKoIG6TzQUB9VIBg1v28+/lhz17fX2uvssvYq +t/6gEX1/VxAEQYdEEBTyOz4TBBeSQfAetBz+F/kgSMHvCYNgDfxkxn4Cr4a2 +wG/KBsE2Jt4G9YRfic5udCuQP4X8hRwY23fzkRfhe8RB0C0dBB+Wog89B59k +7rvoL0H/FmwMYx13MHYrfAfsFSZtcxX8Z9B++FOMjUT/Y+a3QHcN+AvwQuY0 +Z/4C2YTviH466Tmfw59EZw44x5oq4L9Le+19oB7orwJPQTaxGPvoP8F6d6SC +YBr4GdZbhbHN7KULuGreczT3dug/zP0z+gG/80qCYBz6PyOvURQEHzDnJ/hW +yBJpy2ZArcuCoH3aOnXgm+f97WOs95WMSfwJaCeyP2D/evRnMncMdDP8fMb2 +wR9lXwPgZ7Legdj7DWOdmNOO8ePM/wa+A3fQD9lQlnkDfHXoOnA7aI/2zvyO +/D7KGbzD/LPQjWnzx9nTMWxc0P6F5RsRdlM+m8qlXstj6A8o9ZoaoTMKnc/Q +qcb+yvhec77VAtqO3nl0ZqW81pPYb4H+FPZfwXrHsveV6DRDNhb8R2RLM/YV ++ah8tSVjr6P/EvKN6L7H2AJk56Fx8C/xvT3sZSA6ddFtkDH/Jfe1kfuYypy+ +nMUjjI1A3gj9U4Ueawg/A523wCmoEH4a+v0C6zyD/DR0jvM4Cj4DX5s9VmNv +rdhTQ/jVeb+dA9B6+H1Z63bAxmvY6sScu4rs8zfBd2J9E7DXm/XURP8f4D7w +F9nPOcli+5B8ZzpUyJz6zL8eeRJ+a8ZvQW9Ub3UDui+GPiOd1RjGDobe01us +ZQljX4f2nceRjc96bRORT4Bvi83bsX8ndCTtO9HdLEJ/BfyOvH1Lb1hveVLG +a78VqoHsGvk8sjZQE/groQaayx4bwZ9H/1LSb3Ie/Dfs7x385Qps1oaqwu9k +rA58FloMvhpqCt8Y6pyyD8l3zoPfBl8AnwLfz29V8EV+T4N/r7iBrZj5JfBd +od3gM8iPIa8XWvYtY81C60TMP4f8BPIhOjfw9+AK8K/5jVN+I3obQ7WmlNes +tc6FqoAPXbb3ODQH2S5w3dB70l6Go9O41HvqzBkOA18Nnltqfih0VanHrmXu +I+AxCc8pAQ/AxnbmboOKwU1T5r+EzoIXRT6rHrIPfxV0Dfxd2FgiGdQc3ASq +Br+HOfXhc9A88F5wg9BjOtvy2Lo641nI/w2uCa4OzQTvANeSLaiItVRhLAM/ +CJoMfwZ5d/gjzH8VfAF8c+g7KlBMAPcCj+dbA5l/EtwFXAm8HP3KKZ+lzlS+ +Ugj+bWif2QcuBg8OPaa7LQE/EPqOtfdK4MdCn8EBcCn4odA61cEp8DD4PNQb +Pg+NgA8VT+Xj8hFszZFfyB+Rz0E+Wjkm8h3o7H+pOSnblK0H9c4iz5HuKOjr +2Geus64B7YX/KvZZ3h/67LbHPkudYUv4IdgcnbBP3MR66ij+IpsN/hb9euAX +Qu9BuaIicnxUzjgOXxf58+CnQ999dfAToX1gPLh2yrK97PEIuBr4VwnrVM47 +9w0gRlSCH4L97rFzuWK+zuZN9O8t9RnpW8ci71XfHAu/Ef3tyLZBp3WmkX3x +2oTXfijyW9IeWoMHgY8k7eMd+F47cA9032buG8hnYW8NfNsi+86myL4uH+qd +9p60l9XofIT8GL8PMX9Ywrn6+di+ppx9knhXh/2VE58SOeuukTzhOX3Qn4C9 +AyX+ptZSAPVMeE3r0f0cWouNOSXOpVNj341y6ivyzcjxVnFXZ3s4cmzSGZ9G +d31k3+mmO1TuZGwY9k6qQIt8ZjqrEGoP/hD51sBruBu8IfbZ3sc36oM/Bg9H +dgKdD9jTUc4pD16Rc23zZOxaQjWOfGtabN+Wj/3M7yrwKPiR0B7mpItdA+2G +v4T9ZswpD/0G2qSc+5QDdWdLI79hvV29N8XOToqhoWNoFb19cGGpx07KFxRT +QvvsncinIm+GvXvQ6Rv7znXX8rHNkWsQ1R490e+HfDry25DfV+q7mpbyXN2Z +YvmMlGWK6W8hvwVcpFwR+q1vih2b9OY3RL4T3YVikGrXibFzr2rYKyOfuc66 +lPPZgmyZcnTC+UOx+vXYsVwxuxe6q8EPJuxTf0P+HNQZ+UblbX7X6T7gzxZ4 +7zNj+67O4Ed+14LvSdqGasd7I89VDfmU6o7YsUo25YuFkX1HPnmQOyvjdyu2 +y3OukVQrLYQWw3fnTe9F/jC+0g3+U+HQPYB6gV3obIP/VGvLuObSPem+liF/ +APqes+uvmgT7heC2xa45VHssyro2V830Hvwhxmayj78qHqE7XzV5gWuEBfBT +8/ZV1TDT4FtBWeR/Bz8HX5Ua6xrWUMo+F6vWzNuWakjVkjdAH8J/ztjwjGsc +vT3VHKo9VAOqFlQPo17mUcbWh56jue1yrn20J+2tTc69jGrKb/nusox7JdWo +qlWfzXtt4xh7Vr6i+g1+LHQGWa+se4Vz2BsMfhX5rIS/uQDcL+PaaDb6U9Q7 +5FybT4aqIBsEHlnkMy0AV8q5lp4ElYH7Z9xrFCCfkncPpl6sCfiHnHsm9U66 +00+Qn2KsbrFrtE9Y75ac547C3mD4w4zdUeQaULXg0bTvVj1Ee3AyY12tSWsr +LnOtqj1PQPYp+rWL/A1963/sqWHS8eFH+DXIp7H/loptyDvm3JuoJr4RvkvW +uaYX8q5Z15CqJVtDzeCbZs3XQX8ttnYy597AMWoX/IqsbeuM38/6jHRWivEV +yKdnXdurp/kn/P6ce0O9kQPw/4Uaw7eBkpzXRXBR0mOX4EdnvbZefPNp+M0Z +98bb1bPC18xZph6rVs5r1Fr3IS9Hvjznt6aY/H7O39C31MO8m/Gd6+5bQpWR +f5U2rx5KvZRylHKVzrgA/mO90dA9s3rnIxn3Bjrjw6rNs+6t9ca75p07riM+ +dE04h6wEvxY7t3ZPOHf0iJwrlUMWqxYHl6O7OXAufzlyrlNOV637xuX6WvWZ +YlX/yLFMMUu1ysHItbRqloXI2yrfYXtdcLl3jV27q4dVLO8fu9ZWTFeuqBq7 +1lfOUO75IXKtrRyk2m9/5FpTNWAZeNnlelc13/y8Y4FijmLPm1D7Av9nMJmz +3Yx8Y7F9aBP8OvVsof9D0H8Jf8q7F1UMUixSrO4ZOTcqZvdRzClxDzeRsy7J ++y3L5/+Sce27MXLvoRpYMVSxVGuYknEtvCVyLlNNPIj5Z7F3D/LWej85v2X5 +oHxRPiRfUg+4Lu1c3ShybaCcrdq2PHLtqRpXMUmxSXtai+1J+s+mxGvW2sfl +3QvrP5Cxefdw6uXUg6oX1Rq0Fv2ncyjtGKZYphhxnfJJ1r2jbA5AtiXvXKMz +/UK+mfd/GfpPQv9N6I3orSin7IR/EpsvJ+3DHyFflHFu0n88+q9HvcbbkWtl +9RwFZf4vQj15osy9x78i53L1IOq1ZkfuJdVzHUa3XuRa6Ci0Qr0NuCLwGxCf +UL4MPHZFZB+Vb+7VfwKR34B8XzrLY9uULflwXeS1Iut+F7h3mhu5t1QPdTDj +XKAc9zB8bWRL1YMGflOqHYoi1xKqIVT7JSO/RdWA/wdeHp/+ + "]], + PolygonBox[{{4533, 2825, 2646, 2262, 4535}, {4537, 2263, 3273, + 2683, 4388}}]}]}, { + EdgeForm[], + GrayLevel[0.5827684426088864], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmXmQVcUVxu+bmTfvwfDeu3dgENzRsIjGoQQEFKMCKshi4sYoiIIGiCDI +qoIGEKxKFC1LBTQmkooa4hKzKC6AIVVhNIJGkgpqGUQkLAoEMCoIairfj+9Q +5R93ul/36e7TZ/nOOT0dxky+dFJVkiS36k+12jcrSTJS/ZPKSfJfDTyjr52+ +qoLbX2uuXz5J+usbLvqqNEmOVT+n9srEc8Oj7ag1g9R/Q22T1u7R2mH6BtUk +yfqcP2hY95Ton9Y3Vf3jNd9FX6+Y7xT7zNFY54LX7WiRJFfpm6yxi+M8aI4R +H73UP1rtT1Pv+xO1X9a4z/4nVbx/je54QqY7avxu0bQXj79Tf3yV77lMX1ln +vVbwb/rI4x8xt1Pf5fr9SZW/y9QXS4f7w9VvUL+N9mur9a3z/hro5ywLaNqK +pkF8nKvf7VPL5vy873iuaJ+pTZL6nOV/k/qHRDdFdEdpXUltk8YPac00/d5R +SpJNor1Q9+tf8V79KubxsuBztL4n9VVEN1hzP0B+aq+rcn+Lxj/UOUvUv7TG +snhO/OzQ+Ai1v9U3VmMf6Kx1GmsnHk7R3vNqrFt4nxP6RT59NFcUb+NYp+8+ +9Xdr7ibN3an+kzr7ONHkM8sDHpEJPLOetR00N1H9cWp3ae0E9edBo/ZU0c3X +2CLxgSGfIllel3d/vmjmlr1/S+xa4y/kvf70zLzNVrsz5/3hjfml1aaB5/H6 +7k3M+7joYyPPhZ2gS9rbND5R67rp7o/nLKfHqi2rPuqfnbedHpe6/6Hkt0bf +UtHu09g5muut8b6J9YlNotOBVbZnZN05fAHZ0vJ7YNhRU9jb3NT+1zm1Hn6W +Nw36g5dbNXdKxXx2rdhnegdvb4XvgwHbRT9O/bs0flbedzjCY5+g5x6PRv+8 +KtNBg61dHnqvl/z7IKfUdvebsL1Hq62/DTnrCptAX9gFOsY20AG6Qdfr5FjD +9OW07jPp7Ga1q8TnJTqkqYUxA/tDNuAJMtgQ/RPy1g16KYifZvUPpMYWcAOa +rRrfgv9r7y/rtE9L3avoM3vGuV1S415HZKuzL9N5x2vdx/q2YbtqK/Kdd9V/ +O+52TeL9+6e2vwFq90nvo9W/CF0Fjp0g/jeVLMN7M+sMnaOf74nuKo2fq/ZO +fY+rP1/tphaWC/cBD1bk7DuNWv8H9ddpvzvKxrX/IDPxNrnWczt0x1d1x25F +4wW4sb3ke3LfR3T+dO31ocZnhP3PTewj2B22BY/jw7aw/17iaTN+r31WFrwn +e/RIvc/HJWNaD+3/cJXxcGTOOH9t3n6LDWCDrMX+r6nyWvb5s9puak/mrtrr +u8SDim0SOeE79Tprjeg2aL45Z3tkzQTd60Z9jSEn9jgsq8Q0rJ2htWdgn5JZ +sezYck9meWOv6Ht3tTH8uJApsv2xaGcHVp+pvdcWHPMWxdizMc6+7L+67H1Y +C370z4y1Qyreu23sT1w9Jm//OS18Ft9F55vCHxbpnotFu1B7zFf/AexQNNPi +jCfUX1MwRk7QHfe2EiZI719pbFSV9YV+q3X3E3VWjdprNf6RxmcmjgvEhFvU +3y6bWaG1pxedCyyLOLkncoW9asta31n71Kl9WPxsE8/vV2zjO8LORwcGgEU7 +I3aCXStE96LmV6rtlLd+iKftKl6X1SfJy+ovV/8VtX2IB1p7k85dktp+9urM +69WOyRu7/lS2bxAz/5fZ9rap7Sp+U+llPXfVXGv1N6eO7/SJ8WvKxhEwFdx6 +Vd/VxO7UOgHbwG4wvLlkvx9Q63jYLnInZNQ283iD2mfLjuH71Q6qNW7sq7Ls ++U3/Y93tG/yqYgwkHoGD4zP3Hy85nzmgb0piXCfWgNkXad+nyEsy4w8YCwY9 +L52trrIdYsfYM/O1Be81NeLOwejPLBsLvkgto3KtMW1I3vScu1prt6J3jf8r +Nc37qf3yrWqft0tth1rfZ05insGR34u/hZp7uOw57HaB+FlccR9bhg5+wP9e +1abHTmpqHPe529C8+Ybnz1Of9Vn4MX6Br08Jmb+YWX+TRNMzYhB7sc/wsE3i +yBdl49N5ZceX4yMXJY6gJ3TUXV/XvDHp9ZJjy5ay84XVkSd0KTueXZDar3eH +v7MHe7GGuET/pMR32hX5zNWZfQcfArugg2Y/uXTePopu0NGM0DkxkVxxf9yX +e+/JfC548M+SsRGMxL/xbfw6TX2XitoDBeeBzOGD+DL+Aw5NCPycrXbWt/CU +tluMTwg+iTHEGuRNLvlk5J74dKfYc4ZkPr2F6XqnxqMbxG+XOFdQcxh7Rkfe +0jLWggkTa50Pgz8rtHaXxl9R+37B66G9uYVpoK2utf/ix0OKHuuhvaeKZkPR +dNgfckSG4CIyBgORK3GLce6HLPB57H9xwfYwK+ob4gq52PD4jc3uCnzD17eG +vy8pWO/7wkfwAfT+ddH4+nSt40BD1A5N4WfsQ94DT0vUbisax8Az7HdS2PDQ +1Lb4Wcm5L/GEXHtY6hi+sGTfyhfsOweij89Rhw2NWomx2qABO5HDzeHbjwSe +kAMOiDxwVN6x/HDuHXkDfk+eBO40Y5Ml53t7Ks6DoF+Q2BbBbWTOXXuFvxMb +l0Tc+KbgNdCDt2DtXO31XrVlcCc5k+54g2g+1Tn19Y7jxPMBUbfCJ3H56ait +ZgbfxEHsoCrqPeLIDXEWOtwZ8r84dWy5p2TeRwUNvF8ffTASuSHXT0rOYciD +XgusOJVYn3d9CLaAre/GXXbnba/Y6kcV5zGbK8YX1rIH9QF5EjkStjc7/O72 +zHks+Sx2emzYKvLDR/BDat+GOBd7PDpvWT8g/par/0TJcgT35+Vsh/CJDRH3 +2LcxZIg9gJXIZ0vUbMTO90IX2GY54uyE4BO8uDtz3loIjORc8v6FqWurX5UA +JvP2F/V7ps4Fr9e6c1JjYN/U+P1CxAP8lXGw7cibBTj4UsU0L1IX17pWxW7Q +CZiD3snVZoUML4o66HA9lIvaPWdZoCd0dGNgIP7eJmp75IlfEPvwjf2p+++U +nQcgF2RCbntN5NfrS8arVqI9P3WN3S91rgfmo7sxYVMzw5+ILfjUpHgnwd+H +i/9VvKWgK625K2fb5gx8kXqKfPNIzdqgM85S/6rMNsp+xHRiLxgIFi6IfSYE +DhyM2D08ziEufyfqilcy+wFnIc/5sZ615CV3hX8vz4y3beWX3TPnxo9lpidP +JVeh7uE9hJy8ueBx9nlEoH5IGPRlwRg5vei7jog3CeqQbZHjfa62UfMN6o/I +GafBa3AFm18duE39MwO6nPedWbTOh6Su9y9ROzC1Xw+O2qIx6gXsYW7UeNj3 +2+Eva8t+T+hctr4Z4+0IPnqETNDVypDjxIhjzF0pe+hb5xrs7Dr/pv+g8vbv +17nW5Y2Dmnlx6nxwYtTJ0zQ3tOj85keibW7lMWqTWQXjHXl3z6jXeNdCvpy7 +ON5PupLDS87DS64vfik5LteeSzPXDORD2Hmb1Dri7Wpl2B5YxNnwwBn42LDw +l3LIAVmVow6i3gKz14dffBN2hy2MjHcaMOFMap2ifYqPPnFnWawrR547P/ZH +FvdF/Fmlu6xsaVsgV8PmyVVy8W65V+1Y3e2Q+L+7ZL8+OWrGiZHP4IPYCPaB +nRwt231Isu1Ub9k1h33y1tIr3luIDdj862XHWvh5o+x4QgxbELaNDuCf95yO +8bZDjOoXcQo5FovW1zGZ31lGZvaJ5lh7Rd554bUhG3SNfHgzIJ8jl2tb9lr2 +oFbgvuPCRrEf3tg6lj12YmZ+uAd19ZoWzktmRT07O2yJGPXHovOqRVHz7okc +Dlw9U7L9eWaaR9X+InOs2Bh+/3zokX1nB8+tM2N0m8z5EXkSmLw46mn6+H1j ++D6xkXtRw28sOI8lN78y/Av8w+94y0FX8H16rMVOB4etvpU5l/obtVrmN9AL +Mq8bEmvxfeIf/k8tSr7VXjHijNR10ZjMts57D3aI3roFtsBfY9jV5ojp75Sc +E1GHUWcuiXySO75Zcg7NWw5xZlHIltqXfJF4tyb0z1lgFv7ZK7BuSeDb2thz +b9SEYPuFZcegleGz1EjdI3ddmTr/WJUaxzdHfnR7xW8+d1T8mxh7S9SVy6O2 +nBe+h99hY9gS2E8+QXx/MLV8wARkRI7fKXL1NfKnccKsKbK1DvhhnWsDYvWg +eNv7a9gndjpW8yeWnOOP1QZP1DnPOxjrj9QVk6IGOarecYp4NbHsfIX3g5ci +HhGXxmuPU0uuCbaI1zai/3fq2mN73Jd4gk1gU20C0/H9v4uHg3W2p4MRj+dF +7J1+JCYmznuJxRvDF6g1eU/tHW+nn0oOc7TPPS2c/8E7mM1df1jn+67X2u06 +520wuYXfdL4K/1sbur439Tt1db1xGtvtGzXR1KiLkA9yQkbkbn0if+uTGlPO +So0n8IKPcqemsBl8Al0Ru16O90Zslvcbah7ySWqWN4KflWXvf7/ajanfST9I +XaNje9ggsiuGP1LTN0XOQZ2A3B6Kuh5a6kfejagFqSn3RG2JDW+N8zkXvMfX +8Dv0PyPsgtqaOWICssAGyBU3l1wndEqdv+cjh+8etOy/reT6qLtotpbs+2DA +qKhdwHbyX3REfEN2X0dNd3XE30rkVgsiTwNDkSHz2FslYjQ2yF7kjmAm+Ivd +kBNij8QY6HbEOs5oE3tOLjmWE8dHqF1a55x7mdphJeP6abKPH8t+2tcbp1rH +uZdGvbUl4ggxBJ9fFXYwLXJK4jN2PjZ8HR7O0f5TWzlugyXYMXXHFfFuAaY0 +fsuHriDXqPMbDDEWLGsI+bQJ/yoGjt4WeeSWOKtJayst4w1d/ddbWceLwxfA +TWoG8u2BsqPazPn6oYpjxPS4B3uPjPsjpwtLltXIiLlbKrZVYkz3yPFzkeeT +M34VfDeFfLDb+8Pm+V8TPJ5RMp+X1PnO3BfcGlwydq0LHyXmIlP4gzdyw9ci +T/s/Knea1g== + "]], + PolygonBox[CompressedData[" +1:eJwllnuQ1mMUx599d9/ad9/9/d7fu+2mzaUyQ6mQay5FaYtq21zGbLlfKyZd +EDNILhNhMQohcokxlLuldiMzdoWGYlxDl2XbsiypqWwyPl/fP87M9zznOec5 +z3NuT5/Lpp89LRVC+AgqgobmQ+hfGMKW4hDWgdcnIcRdQkigDeAzciFciMKG +ghDaohDOjUN4i73LkB/D/oXIZ6D/EntOR/Y7fDt769MhzEd/GGuPITs2E8K/ +7C9irTeyJexZjb27oF1dscvaicga0X8HxwZjsx/4LeSFnPUb8kbk30NrU/bx +B/DT2Kwvtk/yrRx+BLLD0C8Dfw61FvuOuut6bLZi/wPO/x68AqqHH4C8HvwQ +Nt/mrAugEeCB2FwFngKNg6/DxqPsPVo+IFvBWjuyhdiYh6+HYmNVyj49w94b +Wfuxq3UeAb/DWifyr5G/C96Efjf8XYr8TeTdyywrzoZwFHg2e95j/5usPQm+ +CtqHvSs4czS696LTCb8Y/WfBP7GW6+I30lv1Zv/klPdMArfh3z74PuzZiXxH +YtyO/rXcZ23eufAd/MWxc0C5oDf8DNnx8Behv5H328Z5y+FfSPkNGsAr2DOD +/W8gXw4+KXFsN8EPBq9MHEvpSHdR3ndTjBXrn1krB3+pM8B/QAcoN+A7wLuh +ZnxbQz5leJ+70dnN3Say5xRkq2LHZj9y+/3YNmRLb7xZ9lj7C/0e0Cvga6B2 +5HXwr+PLZVA1tmaiPxfb60pCOAKqxscxUG1pCHuyxhX48ASyQdB4+L34cTP6 +J2KrBboF3IB9RP+vNYKb0e9EfxyL16E/E34o/PHgx/HjI/irspZNw+c54D9Z +uwnb97F2ETa+LXSMf0wcM8VOObyc2B6JL9tLvbeGM9qQ/4K8FdoaO6aKrd64 +Bf3F3HER/BLufIfsldqGdOXTY7HfRjXZgP1O1vZnzw3I9+DTrazdXuSa68Z9 +B+Rc24NYGwguQr8feBo0Ff556DfsHQjdFvstvuC8scV+k3TesnL86QLey/6K +tG0cDO5GzNvwYTp8GfhD/O+Z9h111/ew1RP/ZmFrENQAXwl/PfgI6Bv2fMbe +w3Uf1SM23wYXQXdErmHV8kbuU8X5V2cdE8Xi+ox7hHqFdN7NueZUe6/gw328 +3xL4pwvdQ9RLVNOqbeVcB2efzNpm3mcC8qHgnXn3RvXQHeAWbA4jD5rZs1lv +BbWBX2V/nWoVGy+DX4LugZ+XGO/Bn1/ZWwl/Kvpr0PmJs+9XDaZts3vsmlHt +FHDeDfA9Eu8dzJ79wT0T4yegm8DPRT77Neh++L5QLfk8QjEBD0l8F/Vw9fKN +0MmqV+gAZMPxabh6lXIk5xxQLvSCeoDvZc9S5J3w7fA98WlR2jYOVK3rPQvc +A1KJZ4Jmg2Ie4GuQjyQ+/xDbpoxj/3iJc1M50FjimlWtHglfRzx7oTMr4z4V +Je4VfbEXqx9G7vWToWr4Ubo/Ohsy7jt6E73NHPy9RfmYuDc14eNXkXNAuXA+ +NBy8PXKvvhw6Q/0H/hLwxdAo+AGRe716/rWc0Zlz7ivnlfunJu5tyhnljnJ5 +ZYnvopxWzip3VcOq5arEs0szWLN4ouKf8sw7D/yw+i8yfQIeAR8KVaX95nr7 +Y+DHpZ1jyrUFiWf5NezvB98/tq7usBDZaYnvqhxVrpYqRvDref9a/S1y7gWK +YVPkHFWuqsf+Av915LdTzpYn7i17M+6l6jE51vqnPUM1S9ULX8w61uqJzfhz +Tso52QT+NfKs0Yw6Ad3xiWP5APKaxH8C/Q2qiH13cEXeWD1VvXUb/s0v9Izc +mvOM0KzQzF4Gfi3v3q6ZMRX+QWh0F/9pCrE/NnGs53LeGPCWyH+nC/Q/wt7B +sbFyvhe21kSelZrxmvWzc84t1YxqR7k3nT01GedgNnGu6o3XsX5I4lpUDDfB +b408m/VnOy5xDaoW1QM2IBuDzbOKPDM1OyNyqS3rXlkM9c25N+oPo7/Mat77 +74x7n2pmSNYzS7PqOPgr4adknbszoMV5/w3153sKfDRnTCpxv56IfD6649lf +Cz6ItRrwhMgyrY1MnGvK0Q7WJyP/EJ2p2JyZ8SxuKjXWTD4t596iGaRZNBpq +KfAdx4ILy9y7KonZ7NizegH6EzKe2Wdm7ZN80Vqt+lfWd9ObV+bcqzRzNHvU +a7ZkPUvUcz6JnVtT8flT8OS8sWbAFPAhZe456jX7lbnmVfuXQn9y1p2JZ69y +eA5n3RrbV83IDvS/iTwLVMMViXukeqVqtBXZ31nHULHTDB2Z9+w6W/027z+u +/rqqoQT9bbH/AspZ5a7edlLWsdMbV+esqzfUW86KPSs0M3ehvzp2butP+TF4 +VOy/v2rmUfafnvhu+qPqr/of9nKrRA== + "]], + + PolygonBox[{{4491, 1135, 3403, 3220, 4634}, {4633, 3198, 2651, + 965, 4490}}]}]}, { + EdgeForm[], + GrayLevel[0.6735746157422849], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmnu0VVUVxve5557HfZyz94aBPFIzTCs1FRyNUYL05GEpIFcDLj6GVqZG +XLJCRxbiFcFUUhAQ4q2g1T/VKEFFUcxStJBHgmT0EF8JF0Qeahj0/fim9ce+ +a52155prrrXm45tz349c0TFqQkOSJDv1p6i2R5YkZ5aSZEstSZ5tSpKtlSS5 +rJAkv1L7op5f6hlRTpKX1Q4S/XLR3B10W4MG+nF5kgwQz+1pkqzR+/v0DNYC +hxuTpEk0/1E7QW0f0fQW/WjRf1L9Vq1/j+i2692nGizL39Xvp7Xac/fH5p53 +c9lzfyJZl+r9c/Uk2aD3Z+uZJ/7XVZPkqorp4LVWtCeJbpHGp5bNA5mRn32N +yb3u9eJ3nZ6PijaVPEdE30vjPfWME9+Cfs/Ru9763Vs8eonvEY036/eSxHtd +HmcyV/ufr3dDJNtDan+q5x7NWST+P9U+l2l8l5696nepfUrPavV/r7ZTcw+w +P8m1VrwGVDx/k8bGaJ2v6HlTdHtEf6xo59Z8dos1NgPeoq2qXZK6v1jtDGg0 +b03m9d8QzwtQAJ1zS8X7mCya8zT0O/G5TGtfpPevaW5HyXucqXc3aX/361mi +czxLY/31rNL7rZLtssTyrdH8VVrjcbWniO5U7itxe1r0zxXvPxa8l/dE+yM9 +I/T8Vmc8Uu0ave9oMP+u0EPu6tPqb9b6/9Dz1Sa/PytoVobucNfIxLtZ6q/W +u9O5L/X/VDYv+Jyh9nQ9tybW+e1xd18rerynaGoNprs17nd76POFGmvTs1bn +tl/PevXHJ74HZHhUc28uerxT7YKK9WFe0D4f9KMqlhuZ51e8FrrNmaxs8rnc +rr18ouQ9bIi58D5U9FlcqfbG3HdyZm4Znw05r9a8RGd6reYeo7EpehaL7urc +5ztU+nCV+u+L5zdz22dV/cWa1iTa6zW3s+wx7PeuxHbVGTb4vugrGj+k9lLs +Qf3PFGx/tzWZ7vmwS/b7DclzWL8nau32ste9M7H/+FX4kFdE+02929Hoe2aP +XdrLzJLHsc8jISfyMO/XMfdx7We36B5T29RN5yr6dzLfN3Z8jNrDuc/2c9LP +9WXPRS+QcX7Imatd0eh7b9T7YsX3jP+4OXzIbPEYVbVeQnNA799vcLs/+Lya +2jZeSe07dzfaf3al9olfkmy7Up/jF9S/Rc/9kn+62oON5gWf61t0pjXbH/oE +/0Na64vNSXJNzbZwIM6sf+L9cw5r1f41tQ98Se06jT2j5139XoifQzcTnyvn +uyPOnjvgnIdq3avFf5j4H9R4V6N9Mvvoir08oDV+iK3qPM8QTVY03yna740V +/x5btm4tEv3xoj9Ha52Q+Q65S/QN2skVz92WWoa/qO2me3xN63fvZp653v88 +sU/CN+F7v5raR4/IbZOnhJ+5Ru+/J9n2a79Pch569hW8F85rV6Nt4+04D2xi +d8F+46zcfugi7Wt02To+W+OdWvcmPc+U7SvwE3MTy9U9ZPuu5u0t+GyPE582 +0V6q9mTJeZr4fEztLHxqxJcb9btT4zfrTC6QTnWVbEfYzoawH84aeT+LnxX9 +JeqPS70+fWRAj5BzmvoXqr1Fzw3qT9Eelqu/XPRD6xGP1N+pu52q/nmS7YGS ++98W/Ta1FwfPctG+swX/n5rnicS11Pp+rfpXiOY3+AB8b+r+g6kf+g+rbS9Z +prZG6/gKPdske1+9Ox5/pnZ/zbGvW2r7YxwbfLLR98qdDqo4phJPB6o/VTTD +i5YTGmT9l87xQ+ir2o2p97NJ7e/1/E79P6S+w/ZGx3R0bUfo9sGa9z5aNGeL +5wA9P0hsQ9gWvvrWgt8xzn1Cc4nGxqeOGY06k+PVP7ERxXC8YA/EBdZ/MvaC +De2Ku71Isk7UmYxV27ds/mCMo3qhZ0vBcrXHvdCOC/nRe/oHJPuqiCnElsuL +ns/cIaLZIb7D1B6bOf7+XfTv1B1L3lXbN2wTGz0u5GcfwzVvYMnxGr0FFyEb +be/o95WNzqr696tNtln85IT4TZ974/6Ia93DrnunxlYXl72XcWX30QP8cLvo +vy76cyqey733DNvBn6PvzJkdNjglfA56OrRs/ce3MI5tshewLGe+pOo+Z8HD +O/YIPhpWMkZij7PCTsFgjI2J2N1RMb7AvkeVjZ/wox0R0xnjHfM4v1HBH/2Z +Gec2M/jTZ9/j4hwGBKY9quclyzYo7h3dPdxgH9jyATar2DcdDswLDkdfh+bG +fmDAQpPviTvC5rH3KaljdVPEa/wPWKEr9jEx9rixYNyG/ENENzjO9rjM432k +P/dp7hiN7xHt8qpjPL4VX4l87Gtd2XIyRlyABgwAHb+JEdML5n9MtKy3ucH3 +OSTWJZ6Mjbno9ctl7/Pp1HsnFwFPTQhMhf4sqthnEJPBt2BWsN68wHuD0xjX +3LKeT4lnSe2ZZce2XyTGfdgztsy8+cH/SGb92xu+i7n4r7awRfzSpTEHeuIw +PNPAv8g3InAwMuLT8NMDQgeQfWHl/z7v7MCBtAMiRsDvzIjBA4MeWuxnbGDb +fkHDXmj7Bz25xoLgQ27xSY1XivYnbbFf7m5o6Bj82gMbEx+5d+IOvG6MOI5t +jo7xyYEHfh76MyzutI/aczW+pcF+akTYV6/cNHfUzYv5xFN8CXeKn12mMxxc +8pz1wQccSBxoizM/I+7o9LCnhXGehzPnI9fXra+jw4csDD2BZlbJ+o9Ng/vA +tdgI58k5HGkw37FxDsw7J+b+MzVOejk1Lm6rOqbTXhD9pZJhEjwkwxNaY2nR +eGVYZhyyt2b/saxqH4J/XVh1/vlY0faG7Isz45uFmbEOPO6OXHVW0INp4Mn4 +wrA3bA38y9lxbmAdMM+S3JjsvaB5WryXEe8aHJvxzeSpe1Kvt0TrzsqMacG2 +r2vN58Xzx5q7TLyOE83k3GvvC3wFb/jBn3PfH7IhC3PRB9bhfHj/Vuo5K8DI +gTn71a0/5DvIjx2sDR0Gs66JPIicbGXoMLkpudTqyBlXxfiVuXX4hNx6siHs +66GCaxTgn4nh89GHtpg7KvwutoFdLAgZsN2HS85PyUeHZM5T99RMi/+bju1E +3Cf+Yy/PhP9HRtZGh79d8n65E/ZMH9wNLfkXfFZL7m0690fUPgS+qjourCna +F3Pf5Csjq86HOGt0h7PtUXYO9Onwi9sinz83MyYmXyw2OX4QD8/PjHFPqzs3 +Iv8BC5KX8JvcBExYjHGwNpi7X2Ceg4G9kybz7RV2Rb55NI+s+h3j5FzUdLA/ +bAY/3zNa/D7YlxxsVOyLvL8j9J3ceFjowB2Z8TH5Fjko9kMeynmwHvEd+5gY +tgN+JzfAVqhL7InaBPUTMAD2SH7G3tk3Pmhj1Gg2R33iyvCjp4YvJRfnPq4N +vf8gD0MfvtRkf3Je5rX3SU/aA+eD98cFJpodNvKnsC9sZX30F4Tc8ITfutAx ++oOD/+om/2YczHsg7mVX9PsHbtkU9Rkw5JbQh925+Uyuuw50R9V1B+Ic/hgf +CG6gxoDNU9MaEX6dsSUxzvltjbN6I3Wu+6/UZ78ndBOMTJzFl1M3mBi52YnU +AMrG29jr6MAbb2Q+g1czx6U88nfyHvrsndxjWsE5Dhj7xOCzVWfdX2tMyozl +8YFge3wLecSxotmV2Sddob0fzCzD9+v2rfACv5FfkpOie9w3eSh5CVi+b6zV +K3IEcoWTQgZ4LMvsZ+/NHE9Oj3iNDyLnR25wES3455iy7ZYYemer7r3Z9/Fa +5nevZKYHa7KXSXWvR12kPWIWcayU2t536Ax6lT0Xnj2iz5mWgwZa8Nj0kOHy +uue8njnm7Iu7A7tMj3WHxjr4xkmRi6PDd+bGu31z+zN8O/5teOa61YjM+fsT +kcOPDGwET+IlvC6UPPeI7hHRnKKx97SHCeSZmX0v4/jcjsj9lwa2HB7nuS/u +jPuifTJodovPJWAL8flyZv37Sma9GBky4A+o0/Ebn4Vvwi99p+a6DPZ/TuA1 +5B4c5wqm5Ty+FmfyRGabWFmzTG2Rs5+fOl/eFTl6W+Tm4EbwEDYO3ukTsRsf +1yd0lbj6bsRu5l0YPNcriC1oNh7ZHvV5ap7ET+Z+UDO8NuoX7YHRiR3kGeQb +1GuwiT4RoyuB5Yld+Dt4IAP1Quo74HR0vG/oOfkOOsk53JYHnpFOLs2dS1Mj +OSgZr2g1dhmT+U6o91MzoHbAObwc8eCewDDUAfGJ2Arx52gdo+A5+C7GVsTc +AWGT2OOMzL7w3prjD2fDfY4vOe6ik+jU+Kg1zYv33PXIiBvEnZ9lpn+3Zhkf +iLVuz4x/l9Uc45gL/t+fOX68rv326ebvE7fnthf8Nv5qjM7hrlbH9fmRp+AX +iK2Xxz7farb9Y/tfV/++FtdLyRPRr7lxVsQRZC5E/kdsJU6R+0NPvRDfjS5S +s2ENYvdL4j2pxbVj7n78B2dSMbbGl3GW3Ck+8Gi9sMVxd2TY8AVqXxCfLzQ7 +lk/LfDf4lWLsh70gL3aBzNgDsoAfb4pvDsQQ4sLskjEb+PzukrHcuNDBORGz +4Ek9Cj16p9m69HH5iJXMCT+PvmHTj9SsC1vq1qEe4ff+5wcLrqNcHjwXV702 +NdIPpf7e0if1HqBB3zqzoBXv7nXnpOSm12l8nub21NhOyfbhFt/JqogdYDZ4 +zwz+jE0M3SOeLot8p6FqvWT8hsy1h48EluwIP7Yqvh+AJc8NnL8lcnVy9pMz +39v0sEfw7aw4T7ABMlDHoD6PnwBnnVWy/NQhZ2bOv+/ju5n2cX6r6whPhS/F +v46I+hw+E0z6cOwRDDAsvh3dVXM++kfJdUKLz4Uzwe9RN8SHUYtqKrnGyv7J ++8Bbh6J++G+1L+ieizXnV/jfYYHBqFGiy/syYxFwB3eE734v4kpnzfe1Unym +S4ZyzTV+fMahqBXwvY4cnxx3Z3yD41vcLVp3V6vzQ3SBceL/WI1v0PhfJM+i +3Dhyce6c4OGITSvqzq3u13pZ5lok9W++5cFL05O5kmdOi/0159A95BgU+Sb1 +gw015wst4vF2aln5xrhbDN5sdY2nGnLB8626/fSDNdtlV6ttk3rA3tjjaZnv +6FS1JeJTi7+bnt/kWh7rbgycyJm+VfOeyHX4XnFdi22XGAH2xs8erUuVjDO/ +GPqDHvUrWbc+G1i0X/SxV2Ix33qIQUnoz3DJvLXVfhOf9+Wa/Rj+CT+FXZCP +En9YAx5J8OnU3C2tzi2IU9AxnsRc+vty73N/bnn7hcw9M8v5otar1+0L7hDN +xzPr5MfAX3XXFmdo/B81n9FJmfOAUyIXoKZHrRW7BVNil5tyx+z/xDcRcPjA +oOHOwJLkod/Kbf/jc9s23we5e3iDl6H7fMQd4g/4F8xBTPlbzbVOasCcL/wH +RS6ArbPHemaetczfg88LH/Ns3fnLuroxAv23I2cinwKHb86dkwxSuzPq8NTj +qbNSw2Rt9j0w7hf/jZ/C5zxTN5+nqYfUXSPfXHdcIj4R6/nej29blDn+d8X4 +jLrrDhtz1y+JFbwj3+T/CchxqKOvjnyGWhlYCr+DLtzUbH14NLe9PpbbNrCR +N7XWnMx59ezM32XWR30Af/PnZvuczWo3NRsXoEsPha7eUHfdrSE3xgOjgA3W +R+7I79/GWtgl/nJqYNSFUbfiN/Whp8Kvoo/YCfc1NfKEaYH98CfgP3zMqpCh +I/pg3SHa7/Eoks7pnZqxN/UV4irfsImtL8V3w00183uuZJ6c2bo4N9pno98j +6gfEkaN+KHHtYnndcq+oGQOhk7epnRP/a8H/XCwO34sPptZFjk3+Ce5nLvvF +Zsrhu5ZnXveM+v9lAg9Ti1kdNRP88bRm++SOqNOg38+F/Mz7Ud35cFH467/V +OZab + "]], + PolygonBox[CompressedData[" +1:eJwtl3mw1mMUx59b933v+76335ZRotuOkFEafxhjV/darqWSShn7kmyDytaq +Gi2YtCB1u7o3xh+YYZIiIftaUbJGUeTepE2kfL7z9ceZOec53+c8z3N+Z/t1 +vvq2fre2CCFsgsqheaUQ9leG0L8QwsGKEFpkIfTKh/AcukejELLWIfxcDCFi +02FJCL9Al8KvL2MdfkvKOvi1rF0Zh3AO8gEMP8L+s+FT7H/TKoRx2GgDjeSs +r5EX5L02GX0z8lT4Gzn/Cs7vj+4C9o/h/MewsSTHXZAbkBegf5m7ruC83vA1 +0Cbwc9FXw++CarH1QEvuB59nzz+c2Y89s1g/C3v7ud9k8GfC/8bZ3dAXi75D +e960nb0F6IjEdx2NfnzRd5avvuTOlxTss/Ow/yJrG9E3sWcvNo8E1477VeCP +8WC/xMYosA+y3ht8Tu8C36A96CaV/HZhOrH/VN57OvfrCD8Z2+XgX6jwnibW +jsDOOuz/Dv809B74e5H7pX7rWuxdXPCbRyGfzP7FRb+hBrkP8grx0JvsaWZ/ +Fd9zJXxH9Ndwpy7oyuQP+E8rHRujsTcYzO3gF3K/QaltzUG/qGibj4K/tmRf +bAC/HnlCyW+fj1yD3KnStlsW/bYplf42euPsSvtIvpHNcZxRz3nLsbcKf56P +fB1yM/etkS/4xhdhuw7bbdBvYu+GMsdoH77fbjBd8/4mI9GXx47lDtjrgv4Y +5Eb2LsXmbLAPY283+4eCfwT+azCbiZdevPfxyD6Wr/eB2Ys8NXIsDQJ/Pfgx +mX1ZhzwWfk3mb/WZcgT+Kfa/xVmroOM5exHyB/AfQT2RmzkvwA/TG7F9J2sH +9RZ80Sx7rL2J/ZNYy1LH3h2sDSw6BpWDysUazjsM/K/Y28P9R2B2Iri/0P/D +26+Hnof/gbWPsXcue6qw9y74t8G3A78SfRO0A+yJ2Lsffje0D3k7Pvs2c44p +15Zw9gH4idiYwP4r2D8hNUZY5ex8+MHYn4NuGJgh8GfE3iubsv0aa0vLncM7 +wXdgbWK5bY7V9+S+l2svdCny78gDJOOvMzivnWpU0TVLtaszNoZw9wbOPxpb +nTJ/q0XIRyKPie3bc5Rb6Hpm/nbT0X8S+QydNRTag9wOm0+hqyWme8D358wR +nH0rtA99Xeba1AP8QvjN6NvkXSOv4qwEuVtwTKWpfSrf9oTKwOegk+Ab0Tdy +9hpoQ7l9Jt+9EzsX5BP5ph56ErmeO7WHfwN6Bfkx7pPAv64YRve58o77juaO +35Fnc8HMUT2Nzc8Cn8aOKcWWMIPYOwCaB/8k51XrrtD96G8B/2zqnFBu/ABm +CNgboP0V9rl8v1P1Fvxu9u+CXxS5NwhzI/ppyAcqnNPnoR/K2k8Vzmnl9k70 +O4jPO7FRi74O2oU8EnkhfGPqXNSdFsMPznyXntg7FPnvxLkun+bRbURu4i7N +0I/wAxLbUs7vivzN9e3ls9fA342NmdhagBzz9lXg3yp3jrwD/1NiW7qz7n55 +4thWT+qLPA75QeRnsNGR/dNj52ZfqK3ej1wNPwnM+MQ9Q71DMTY1c8wqdlfw +hg/hB6SOtRas3Zz5m+vbq2dWId+DfHzePWwbfBvwvcCfCK3nbcPBlBWcQwMT +54By4XXw78N3yVz7hBH2ssSxrxhcDd8ndW1ST+4Ofg7yqznXUNXSJYlz/yXw +r8Avy9wH1A/uih3Tiu0MKiWOUcWqfCxfKwYVi/KxfD2WO2+tcIzPh5+Vular +RqpWHgt+Wc530F2OTpx7w/ieyyL7XL5fDE1CH7hPV52PvYPIbdE/jq431DZ1 +z1Xv1doo+O3YaCrzGXM1L0Dty9yDt6WuoaqlWnsZ7M+sPRSc87/A74jcq27j +m56LfDf4bnn3JPUm9QD1goXYaIBfF/vuwuxBfwc0LeecXoFuHvJK5OHQxfAf +x57VPkRu0HnUpcElx6/ieA18lfp3wTPBlNS+UI+cDH9JalvKqe34bjj3ra70 +bKCeshp/bSn4TVvBTs+cC6phsyPPCns4Y2bBM8O0zH3+cN5b4G4zMvdm9Zjv +I69Jpxrdmnq0t+RaqniXjaNS96LV4DeC7w5mUMkxtDzzW/pyZij6TR0qPVNo +ltDaFyXPnJo1NaPVtvIMo9lFM14r+Rz7S7H/OfZbYn8561PYPgPdUcgXlv5/ +Q2vPTn+U7EvNUCMy514d+IHgT4jte/Vw9XL1cPXyer5XI/zTkW1r5pyO/l/o +uLxzVLmqnqXepRqxLXJOKDcaoHHotySunerhW+FPyzxL6JvMQP9X5FqsHqRe +NDdxrVYPVS9dG7uX92DPAeVq4txUTV6auAapFqkGqRZpRtCs8IR6Dvq+sXn1 +APWCrrFrlXpuLfoPYtemoHhTP2GtHt0M1p6I3VPVW+XjB/TtE8/WwtTB70ic +i5ox/kzcA9UL9Q9yH/j3Ytcm9Qj1itGx3yIfypeqKaotmmn2arZj7Zicc0a5 +U5n6W2sthv8qcq6rJqo2dk79r6GZuwv8usi9Qz1CvWJ+6llXM9sC+OrUuaya +8AfYkalr6ymsHSJfpP4X0Uz9BvxF0E0597ALVJ80M+c802q2/S7xXs1036o2 +Rq4FynHlekPiWNAMqFlQMafY0wx+mf41UueKbHZXbEE1OddM1c7FkWNR/wj1 +6DYn/ncTpgfyc+iLOdfEqsT/WPrX0j/czNTfVN9Wb7gQ+T+8hvZ4 + "]]}]}, { + EdgeForm[], + GrayLevel[0.7643807888756833], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmXu01mMWx3/nfd/znvec0/u7uEwJS5gZRDIjy20tzGLGnZhIKKcaxhpE +DqqJXJY61cll/nGZIqJYXTDWrMIaZKQsKrop1ZihqFwWlZFBzPfTd1v++J3n +eZ/Lfvbez97fvfdz9h9y7fnDSkmS3KI/ZbV91D6nzosNSbJBv7frW6XvBY2d +obkVGh+idoPamzU+p5okT+nbX78HaHyj2mEaX11PkoXq/yxPkgObk2RezetG +6PcJjUmyn9qb9Z2pPW9mSbJSe+7kbLVbNb9N3wz1x7eIhy5Jck+TeRyu8W9F +t0Ftu76nWV81vwep/53Wb+vi894rNKd2mOgf32C60OzWbL75jVxTGi0bcvcu +mRZzc0Kuivoj1S+r7a0167TmAdEZLJ7amvz7f5L3G639vWS6X/R31rwf3jta +zP969Ue1Jskdmq9r/V0af1HjB6i/VHOjNX6t5hezTv1G7f+y0TzcKbqDdeYR +uc9drzN7aLyvfj+q8clq90uTpL/Gb5O8b4rGNaI1QnQ2Fl7/ldoDtO5EaKod +KDpdNT+4wfIzvkT9A8XPVdp7k+YuqFlfP97J9tDhq7n7p+nM4ZLjS523Q2v/ +prFn9U0MnuBtuug9K7o3SJ42tfdofLPaLuLzmUbvYT06GqTvukqS3Fj1eva9 +o/nV3JXWrGn075L4fazs3/TXly0jdzGhwXSh+broLdI3Xt8ozc3Utzdn6/f1 +oo/Rb4712PPbam/S+DT1S9HH1tBTv5p1Bb3ZotNd/Ycly6uafwh7lh7e6mLe +mV+tr1Nr+ue22wvVPqe5efre1dzh8F8yn4zNrfr3FzXrEj30LLz2BrUva//n +ovOS2nN0TtrqtV/G3WAnm0RjSMUyFlp3qMaXS/+3aO0H2jMufPFrfa+U7Cs7 +WzzWqH3zy/bDTRXv/aV4O1P9aepfrP7TWv8L0Tpa5wwtWXfo7VyN3yA6x2j8 +9tzr902tj7tarZMpZWPE2gZjwdPhX9jXHeGT6AEd4V/w8JG+IwMb4K1B7b11 +81qSTh7PPb5YZ32v/kL1V6h/kb7nJdM0rRmjPS9r/DudtU37GnR/W9V+Izo/ +aGyPzDgFXq3R2Cfa26z1o9Reo/0VMETth1q3HZ7UDsd+9J0t3hZobJH2npQY +HxOND0h8Bn30RtsQ43tr//6a20ft0gbTYi+ygmUHBaZtq1r/3CV3Ol39v4i/ +Z9QuEW9t2j9U49/WPT801iDnFeo/pf6VFffBSdo/xvimJmNfX+nmS+0foPF+ +orde32b1/6X2fY3fpv4hueMCuAg/jLU3GbvRQXvo4cffyLRZvP+hYr64R2RB +PuaHxxr2QYu9T+fmbWfd+r4yeF7YaN7wR/xpbdk+tW9h3veRHr7Snq80doF4 +7iCOlSzj2JKxYU5im8P2iE0bxctk0bwMfkS/XLONTNb+qRrbItq/Kzx/icZG +am6Q+jtE408aH6HfB6i9Xe33GntcNGeL/3VasyJzrFjV6HixW/gT8Q3bwf7a +1B+hNbdqfGeD48+JEYPaw67OjFjLGPrB7mepfR6MEo0LKpYHG8eP8OWLM/M5 +IDNugWVgFzgH3s3SmnGaz9TvFvKDicgFP4w/Jvr9qrZd4k038EcytKXWFXoi +/p5RMX/wtrLkNeDuVYXjdD/pY5LopU2+G3SWBn1iAPEYuz43syznZBF3w+ax +YWIHNkCMJVaBvdCoBx10Tx/9owvokH90L1tesB1ZuHt0TmyABtjyBXcszPlc +7YOS7V2NPZw57vaXTturxqT7A5cGp5Zzo+RapbZr1b+nak8Pndtd7U7h3Dst +jhMf5V7zYW6sPDbuaGfkQdDsWzVugG/kAfc1W07w75Wa+dy3apvH9pkfF2ta +CtMcL75+UzJ2gSFDU8cL4sbj6t+ofi+1vURjr6p5nwOWlnwPl1fsJ7t8Jrf/ +HJs69mE7u+4gcjz4vzm1TX+mtt7qOEQM6iIf3KvV8k0UfxPw86rzqTdEo7u+ +Fs0fpnVrao7tf262nrdo7n19mko+brKfcF9zdM4+VctOzF8VsX508NAgGeeK +VmfN8jyosZNL1ilYi6+Btz8X4etafd6owPaduWPg0SHXJ7nP+ji3/uZFLCaX +2VJzrM5Ep6Xue9hzN+eW5Jjwvin4J2feTDynLx7OE50+Mcbc2ljLHmxuYG48 +B9fJi7lLcrDjGpwP7LJVjVeqvjf2oa83E8u6NO59YoPtcULsmxd7n6s5jyTO +Yqfs5z6wha5hD2uDt5WR728I/v9Zsy2+G3kMazkHvXAG+c8psvdUvI+q+Tfz +5DNdpZfDpLNJqX3wgvDD2WX7J77ZvdV2g80QG/AHfGFbk9eDP3eF7Z5QeP68 +8JkzQk/gD/OrgkfOHBJ6mNTiPBvfWlX4HlcW5nFC8AnOwR/2NjtoIAfn9wse +8L/NNZ+zonB/eWFe+sb9cv7K0M8wydVL546UnXQQu8rGevCKFuyaqXtfrns9 +MrXvjY04hS6ol/A3bB2bn63xJ7X+LfV/ndovwXbshvhBf1rIcnqjeWZsWayh +XR79VZE/k0uXw6foP6Fzl8ZZMwMjwOdHc8edGXXLsaLRZ7IWfqh5iOGnNjom +7J06dlHbdVaco48NOYiL0MeW58cZK4JPaLa3OL/EJ8nXsTH8gNyNHBssmxh5 ++6zY3xZxBB+ZE/k92Am2945cYWLc6RWpawTqoTU6a3WL65vr1T7TxXjwpOik +FddR0Aafjo97I0Y+FrgEJs0ObIWvKbnrNzAGbLuwZvyDf2SljoEeNgH+XR/1 +TXvURNRajLGHOnRh1KIn5a61P60bk1+Lu76q0XXpjzlBOe5xU/BLjYa+K3Gn +lchHWN8e2I49/KMwb0vqjo3HRXwkfyjFWeTuo0MuYv+YyK++aza2IvMbgUng +/IdV50bE5bGZ+0elzrO4S/ajH2pT5M1T55cPq7261fUn+uAbGXpZG/jE+wB5 +Ykfw0CfeBfCdbTqrJp63ZpZ3Sch+bt04BUZNiBzxmNQ109aom47Q79H4pvR9 +VJPt+5vI5clzyOHR/cLQySO5f0/NzR93CqbNyH3u9Nw0FgcP3CVxBz0Re+iP +TJ3XjY7cjpwMG8MXDqhYFmQmV6Xuw7Y7U2Mc+Ao+QB/ZmwvXXnvs5vyPPHB5 +5njb2mr+8Lu5ESvXlY3rYDm2jW/vjNwJu8a/4Icx5J2Res0TolevGMuHhd1h +f7Mi38bfS4HNw6Mu2F1776OWzm2fm6NGvT2zLMg0Pup0/JTzF0W+Co0lEePI +9cBQfHBZ5OX9M+eeh0X+SU1AXcOdfVR1Tk6Ntzbyd+qjHfEb+8Qe8V/yzffD +hrmj9RXvZf30sA1shLG1Md43ahrwn5wRLDk+MKN/9MmBOyNnpf7iHHLa46NW +B7ueSK23J6XbzzP73Xm580j8BJ8kn3o93jGIDfOifh8VOA0/5MaT4ixyn62R +R/0qd1zolTs/pm6nZie3Ia8hDrZmruU/q/udgveKqwu/05GX9MidK3ZGvjgu +s15n5fZtfHxQZn+GV3i+KHfNMEDtqYXrrtMK39OQ4IH3nhcjv+c+O6NewKcm +Nv1Eb2LYw+uRW84K2+0ecRzMB+8fCDvpjLqgb2Z5l2YemxT0wdSDm8zDxuhj +z4tCz9An7veKGNKz2W9MnMFbETKwd1zumNGR2w/BR3CJODM43gZfqnv/hsI5 +K7krefRl8d7FOx6YA5bhz9gn98qd8p4IDn0dOdaLsWdZ5AD4J78vi3ezi3Pj ++yC1h1eNIWAJtgnWYXfXZF47XO0jNefN5FQP1Z0v36q2rfJTzkLtvjVsHWwj +VwDTqCVn1Fzb9Qob6527XhscciF/W9Ru2D6+Rk0BLd45+oQNDIz10BwROdI9 +henfXXi+LdaMjJqV+yVPm1YzHoHpHVHHkJshG3LdV3dNORLbzkyfOv6SqE/5 +DQ3ep6BDjdU16qxbot7lbsGtLfGuMbXu9dNS4wwxD1zYPbPO7ox3lE3xfsUb +J3aDj91auGYZo3ZwZnoPZLYZ3h96RDwmLh9RGK9Zz++/1n1fj+jcSzPf08DM +MWJm4MF/mnw2556fO1eYlrteOLXimmFh6jyRd+UtgcnkDJ3hh+iWHAGs4r7G +BEZi2wsyx2viNjU7Mf+gwJ9Lwr922VTFZ47NnU/xPs0b1frAz6Xhm82Zdfl2 +vGnwjgON/0ZO0i8wEDtEn9wl/zMgzyxnji2vVVwDXxu2jY3zNkQ8eJQcrXDM +ey+1TSwI/fQUv4c0GQ/m584jX8mdZxCbiW0LYz0x6KnUNczXqc9cEOeSrzVH +zoYfgL3kDNvLzheJq7xv48PYOzS2x/gNqXOHFwq/C1KnEYNK8T7YkLkGp5Yj +V7k0fBxfBy/AjV32mbuuWxYYwxspb0+np34jXpD7njfFXV+eusabWZgGGATW +XFT47Zf3Y+y/T4x3pM4xyDV+CHxJCuc5RwV2vZ273lyW+w37nsCl18JmsJ3F +UceDIdhTOfI3/Ac/wvaIsx+FT6Hj1+K+ri8csw5Ru2fmvePVfle3H+FP39f9 +fni5+mdV/KZAHEQX3Cl3S55HTO8tmYZkjm1DM9sCtjos8lh4+CHyMepi/hfG +2xL3RozYEXfHHe4RMZHYeFjuGLwxc17BnVLvQ79nnIHvYC/4D29v5H7kXLxn +jw5eu4f9kBMRYz8MfsiJeCvAJoldGyMeUYfxXk8t9mnu96PP1J6dOeYemDp+ +jo8YzRvg5HgHHFP3u/Cgwm+u3eLd9e912yu2D90zw7bvzo1r9+Z+HyQP25Q7 +Rq6P/5PdFryQB4IHpwYm7Ci85t+8Yxeu+QcXfrdJ4n0e3yWPIyZx5+vi/yUn +ZaZzYma9ETOIF9gI2IednJKZzw/q9veTQ1fgZUfEtl3vqyHL/DTqrsz1Hzku +NjA3alHyjFpmPTep/aRuzKA+404PDgzpEnkU+VTX3HfUNfX8IZFj/DbscoNo +7Kgbn8FpsAkZ2wvHYOQ+lDvMbHczI/c+K/K6KfFezbs1case49gp9krtgJ2l +Icv/AXC7HPY= + "]], + PolygonBox[CompressedData[" +1:eJwtl2eMlVUQhs/u3rvlXu5XVglYIICRiIWiRPSPJVGRiIKGjrQF1AQEAREU +QbGwGAX8hY26woKoAY0FCwoimIAgVUAwKqD0sCKyForPy+uPyZ05M2dmvjNz +3jm3edXI+0YUhxB+gDLQRfkQhjQI4bKKEM6Uh1CdC6FLIYTH4WeUhXA4CmEd +dhUlIRyBvzcJoTgbwnzWusKPj6xbC51F3puG0Ab+DvzVwR/F176iEKoIencc +wp2s7S8NYQDB74AvYe0udBuxKYbPY39x3rm8go+f8L8Hf1fCf6G88raR7hmo +PT6W4u8T7Hthu4P8U6gxuu6sDWFtFb/LsemA7TfEWEPsmXzDBegCa63RtWCt +Kbq9nEUvqBH7p8g/fIGYdfj4HVqGPAb/HdjzF3JN6tir+IYe+LsJ+RryPcja +1tQxFfsr5KE6P+QBnGszvvcR4i1JrdvF/sHoxyDvZn9raDT8Ir61Br6a/J7F +vjx17BugauxXQ5+iP4DPSdg+mtqXfIyF/wzaif8833BFJXGhJ8l/LPtXoPsU +CiW2OW+Lj7Xkdis+GlHPM9iOzvlbP4YqyaExufSGTmL7Ljbfc5Y7oQ7ksjVy +LyyHVsI/lvis5XMH9utZ+xJdCb6mI7eq9BnrbBvCL2btTfQv4r+aWBF5jyJ+ +fblr8C37V6LPon8Z27Pod+Zc657QSXxNzbl3tWca+hbYTajwN1ex/wf2N4E/ +Sm7HEvM7+N5D8HXo/0D/DvQB+y5nf5cGPu/zNY+s05nVw29JXWv5lO+t5Lyb +3PZA2+CnkUuMn5nEX0FOB4ixC9ttxBuE/XD2j+J8JiIPg98MXVTqHpqG/hTy +nmLfgXr4TtAh9LWkMEN3hRjNiNUcugR+A7mOJOfHiTcGu7eItxn/W6H2+NuM +nGV9uc4LuY49GXTDoHr8faialvgMdBZnkB/E9wPQEGxrkd8m9gRyWoh+X+q7 +qTuvu782du3bo18DPycy35I9M9l7mPiXljqGYk1Ff+P/Z6vePoq8Ddty8jkR +u0fUK6ORe7H399g63dlzyFdBvbE/QX5XJ76DuovymcPfLNbGIq9mzxz4O1Vf ++Ya+SnyGOkutrUbuh/+B+DpLv14APwIfGeIvxaYv+m6Ja/UP+r/ZOwj9Ceo6 +CP1afPdkz3j0p9CfKrin1Fv65iPwk7B/EX8fQfPhn8NmE/FmcR5z4duy9n6R +bZ6Cn8jaN+hfQ/96wT2l3hoMDYQfgM1h4ndGvj02pghb5sonfN/YWFvPWi/1 +Iz7eyBiDO7L3I+QMfB3fv5L89ifuzUas/QY/hz27gntsLvzbrJ0rco+/A9+Y +b55Hrvdifyn+miHXIHdHbor8a2Jf6umD8KW60+xdTLwpyLMT10aYIGzYSz53 +oe/I2pWaLwX3zlWqP/42YLMMeQvyEvQtWBtHvrWaV/DTU/NT8PEMsQZDQ+FL +sGkIP5/9XYvdM7MLxhhhjWyqYu/RXmGcsE6YK+xVT9wf+wx1lv2R+8CXQfuR +uyN3gf+r4N74jvwWk989sXWqsWq9peBvOYC8G1078llEvhtYq8X+34JrWwUN +UP34np/LPLM0u66N7HsjtAj7zrp/ZZ6xRwq+07rbmomajeox9ZpqrFq3RP8+ +e9+DpusuxsYOzXjN+puRO2bcc+q9udisyXrmH0fXWvie9dq8xJgv7BdmL4Jf +wdoSzve4agp/XeRaCYOERcIgYZFmWi38wsTfLgwSFu0ruJcLUBb5es30rGeM +Zs0XiX2rh9XLmtma3dvJvwn8odS9L8x8gL3ddaZFxtie8G0T39VOyO00u8Dn +dlAPzqgb9Bs+/sj4TulufdvAM0azRZjaKvVsPoS8Hb5b7FmoM9HZHCOng8Qb +TPyu6IpTz6pK9kxAP5S1hzLGlIfRHYusE+YJ+15OXBv5mJH4Tulu7SOffqnf +JmfyzlVvlDaRsVgzcUHima45Jwz5HP5r1k5mjfmbEvfM+d4pd+89FxvrJuPj ++dh3VndXmDYQfmHBbz1h6ALVMnbvC+M2wx9P/dZb9f9bqxX+n874TXdJ5B5X +rx9UTeDnRcYyYYawoz/2Y7K+0/0S97x6fwh0mtj9Y+cmzPmn4BmkWaQzPFsw +hgvL9Y2d8NcmcW374K81/GWR355XE3Mye1+KzGsGNyb3Cys92x+lB9pWuufU +e8IoYVUXbPqWGWN66K7HnjXqkV/hp8bGlmroBfiayFguDBQWqrfWU7NxFe6x +h6ndOuRRpV6bQI6zsn7D6S33auxv14zXrK9OjJU9VR/4provnMXNrLWAb56Y +lw/5Gob/EdB4fD8G9U/9NhTmNYH/MXYthCnCFmGssFY1+4XzfDp2LGGKsOWR +vN8Ueks8gb+N8KcrzOtNpf8Op3N+G+o/RISPl3J+6+g/hL51eN656Jv1Nt/T +wG93vdErYt8VYWi55m3st6Deej8SP4e/iXm/xfWGahT5bXoTOY/TrEp9F4Vp +wrYbI9dCb5al6EdpJmb85tbbe1XiWSeMElb1Tvy2EEYIK/4seHar5qp9TeK3 +kd488/VW1HzLekbdplmbOBfVRLVRz6n3ZDM58TfoW5TDSOyvwX8u7/e2aqQ3 +hd4WugP3wxfF/i8kDL4F/j+Ue+yR + "]]}]}, { + EdgeForm[], + GrayLevel[0.8551869620090818], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmG2MVdUVhs8M987cuTP3nHsGaYUZqEZqQm0tpAbU2Ng2bVMlsUATQEas +zjBQpQIiYMXYqNjCDAyYQFswGI2SgkqlMLWNMNBWjf1F1RawgsOHpj9EsYaE +b4W+z7yL6I+Tvc8+a6+9Pt71sc/l7XMnzalNkuTPNUkySGNLmiQ/LCbJqGqS +3NiQJFfpaRXB8HrPV4purb71ieYJjSv07WhdkjRonKxnvNb/I5rflJLkt3ou +09quivcdEu+tot2u9Ve13ime7Xo69G1ayXugb9XaKJ21X/OezLy36qz+gs/q +lZz3l5NkW1OSXK/3qeL7imiuyf39w5CnR/QbpFS35q9q/3q9r5Isw8R7iZ4/ +im621n6u50/i+Yhobpb8V2scU7UuozW+KRnuFo9M4+hmyaJzL9H4tHg9Kf7P +6vwbUtviZ6L5u9Ye1rwubII92sX/S/pW0vtyjYvrrA+6tOv7t/V8Rc8i6dUr +/mdLlmVS7O8bZF4HNM8ak2SCaI6LZohkqOpZK32W6XtRz07xbBVNs9bPi+aI +ZDuo/Wdz2+ZonL1UcuwQ7SbRTQkbviV9q7L/Mn3fpm+/yjx/TOMSPVu1tlH0 +uxLr91eNzaLvDl2g7Yq9QzXW13rPwYLPxM7Fkm3UpW9fDv/i5zv0PKr5Ho3D +CrYVfCZLtrdE/0xu/djH+au19jvx6pVNVkin1ZKjp8a4uLLR2BiXG0czxGO9 +bNvc6H1gbABfNZZ9T9Fn31UwXjh7v9bGie4dRu3/tdb+IPtsrpr+BY2XCgcT +dd5Ijdek9vtzWl9YtJ7IOmaQ7X9Y89Ea+zWuS4xFMHmTZDwj2sd11n2B2UNF +2w5b3hn2vFU0J4rGynbp9nKdeX2Wmz9+HuAfZ5yUXF1l8+3XvoNF+2tYvW2F +DOiIfn2JdeW9UOszPqozJo9p/FjPPQWvHYu4YeT9Je0dW2/87QxffxgY26Zx +h+T+ao35jw17Yt/u8O/dmWNwgvR4oM7r6P5xnAX/11PHwJ2iebDOsQYP7NQf +tmoR7zX1n+u3JvDwbtCgO3S8g8lNJevbF3Y4ELrfk1uXTsk1I/PaZxXnphY9 +N4jnlqrpr5Nct0VcEB/9svniRucXzqkL/B8NmYmRF/CX5rNS59Edej4Rz98H +fsDRQvntVJNx8TXwpu/vVYz3nsD8ZHCr56HEuCCfYWf8vVg0HRr36fsRre8t +OEZ6kIMcovf/1ngvmAbbY1PnOWRZrvW2kjEHFhjJm5wzNfLQ3MS5e2rJNnmb +/Kv5vtzytcVectDIBuf+nUVjFOyRO9+WHJ21lnFfyAS/acHzbMX4v122fazi +M2/JrOvW0Lc98hj5jFgiptZmju+/lYwB4p/3/+n7p+KTaP5T0XTGOnlint7n +a+9EzW+TTRZI1raqscCc3LOk1jFBHuvW+cv13FXreCMeR1DnCo4BaMhbIwc5 +x2+MHEIuQd/D4RfsgA3QnXo4tMF2xcZ8R2fshm2x3Xu56+P7ufd9EH7EftDP +07wxd/5rysMGdbYDmAN7X9f6isyYpHadCayw90jFeAN3xDc+JAap22ejdv9T +tG/ouSUxHtsCk6+VnO82Jq5P4JectlDnPar5gtx+2xa+I0fgC2xFHAzYNLFv +WD9XsU7YCjt0RV0l//9AMXJJxVgn33Z9of4Vg2alaAZTr+rNB5vOC9yCL+Q8 +nDpn3p+79lAH/p25FvREPSB/vBt5pqhxRcF5oyvzfFlmLHR/Ib6QGZ/+Uvng +fcXyUvmsu+y8TIzuLtiO2HB25vy6TuM/ZPfTOuNf0bO8GLjDh9gQ/vRo7MVP +58XzRJP9wzt826jLBWMDey7KjZ2rctt1Sdh8Zug5S+NcPfdSp0WzrsFxS5wR +u/DGb9fq2w6Nm3PXUHIuvR26Hgl9H5K9vyveN4pfX8m+BjP4d0XYJ4+eAVuT +q1knJ5yPczi3JrVNsA0+XFW2H+mH0K896g51hRxdVA3uk6yFZuOQOVi8Ovq6 +b0a/+mD0kPRHLY0+Ez2Ghy7EVmvMqUf0Q9QpaFqjpqwJ3ZnTy6EPuoAF6grY +oAasiz4TuenR2uMc9pIriLnNRdsNX5F/8Re2gWdvzOmxhkV+JOaJd/RoDhr6 +AfwCnonv7dEbsMacNXLtlMi31Ei+I8OEimOJOLrY67NeK7s3in4QfauequYN +mfM/tZhYouemb6R/fFP23aL5azGyTt5LIxeRk4hRej9i+Pmq57tTY2Rr4OQ7 +OqOss2oy5wfsC2Z/En04/Ti5lvgdEXHcErowtsa8O3Iz9uTusjnuL1coVk6X +fd+oi36A3mBv7hgepXFl1XuvlGwdqXPo81pvS43pDbkxC6bBLf0OOZ9edrx4 +j2vy/eeO3PYakTvmO6LHGxP9IP46lVu2k7l7IHqhROecrxjX9CAD/V2t90yL +exJ6r5KcvZLh8arxtTQwRo2aHTXoZNF1m3w7Xfy/h400zqz3Hexw4Ja81lJw +bQAvv9C4qOCcwHnknCcj77AXeUaK55nc+pzWeC73+qe5fd8bd5sDssn+svuI +Y9FLIt+Fim3GPQBbY/M92psrLq9t8vnzs6ghGidk7nuOVVybqctzRD89eu7b +8VtqGc5FfZwSeRA7DS74jMtS++WZ1HlycvRR3A+ua/IdgbsMsc895rhkv7zJ +tW5SZp4TM/tzV9xjuwMPF/Pb4sgz/RFvAz1PZtmQkXgmhulj7wsd0ZXY2lD0 +fW9W2bbADt/gntHkHrAl+lxwjnzkqfroqZmTr6qZe7njslU5dy/CXao1MHBp +agy9HHkD22AL4gUbDY45tmsO+6SZ3ysaf5y5ztVrHJ+6ZlG7qAVZ9C30p9XY +m4c8yPVA7ppL7aV2XSi7xoAz8EYcr4k+Hj0P5+4nDuXGLPgDe9hyZmB4U+q7 +03MVn5nFubemziuV3HmA/NYatoIeu62P3o8e8JPor+izyIm7Im6Jy0MRUyMi +rsERfVBj1HF61WFxXwM7+AL/bKs6P+zNnLPxO3SDM3+fnjlntsd/AO5I1DZ6 +GfrPsVHj0LMj+hb6SuKLPZxfDhnAYF/kJezNO358pepe4kep6wI1Ej6sbYm+ +lr7gxZgfiP8W9EvrquaVx78Lah05+dnc97tp4jkkc/7oyHz+zpCBfpaeHrmR +vzP++QxRnR4r34/SeEEYf6dsuu9n/u8xPPW4J+o9+DoZeaw9chcYOBHrL8U/ +iYfjzkVdpbemZpIXh0ZufCL6E/oU+tnro+48FfcL7hkzU///+iD3vYcafvGc +U3HWTalthV3ni+4Ret3c8bQ9YopcuTv6NHLnG9HzfRR3aOw88N8l7givV83/ +5tT1Y1HkXmKVmH06dT49ETKA2da4l3L+8uivuMPw7d7MfiSX4EtwPCNqEH0e +sTYn8/+kaqNjjLg8GHca/mVgz2+l3tseNh+4R8adYkHmtb9UzLsjaEq5MbpM +e5emnrNGbhtf/PzfGD5uCzyvDkz/H1zzuvI= + "]], + PolygonBox[CompressedData[" +1:eJwtlltsVFUUhnenMzCd6cyZU8AEig/E+lAIETREwAfUGKOQKNZEWy6GglyV +NtAWlBgjF4FyR6O2SCMBIggEBGI0gkQFeTGKaAEtaaviCyYq4YGWCsXvz+/D +Sv6112Wvvc66nBGz66vqEiGE7VAS+rgQQmcqhG7ooXwIZ+CPoHAYehL+UBzC +iQEhdMEfBC+OQigHL8G4HvwC+k3YpjibBt6Lzsl0CKfha7Cfi856cBLqz4Hh +N2FbDg0B/4H+qJIQJkHz0K+L7HsZ1IXsKfh64ozgnwZvgDaDF0LzwM2ZEKbi +dwV3bhsYwmDOhiGrhfo4342P88UhfM391fjPIb9aFMLzyKvAgbOXwS/JJ/xI +9Dfz3i/xNyfvM8kWQ0Xwz0S2vQQ14788yxtLQ6gg/n5sviEHN8hHLzQF/Q7i +K4OGIa9BvgT7pUnnULkshQbBH0d/K7brsakodswZYpkf+a1p9O8CL1D+wCXQ +He6/wt010FD8r4Ouc3aN9y1C/iy69+FzMr5/5mw0eBz+m/G3HnpT78f2csax +TYcq4K/Dbwa/B/1DDB34qsT3NfBu7KsT/iYfcFc3/BZ8H0Leg/zHgt9+L2ef +Ie/B34aMv81N/DWisyrtHCvXXdhvKvJZE/x2bFJp19RMfI1Hvj/tmmkm3mQZ +9cVdZzhbgOxG7LtVQ6qlXmhssXVS6E5A5zK+OqDD+DsItYM34G8t/n6CViV8 +dki5Qr8n5W+ob/kW8XwSfHYW/nzBtaQe+QE8Cv0vkJ2EWuCruP9F3lrBmxrx +fZz3L+f9E3lvHzEfiF1byulcbC/C/5m2D/kaBT+m2GeXwGsif6uh0CBwrfqr +2N9gVuwcKBfq0fGxa1K12YbOLvBFbLqTrvFF4DXq0ZR9nMX2e87akT0HTQUf +Lbi2uuCPgUeUukZUG6qJX3jL/dA0cDX0Gjpt+HscKsfft/g4l/SZZKrNO1nr +qkYnwI8udW29TQwVmjHoXsTmHLbbCu6FhcSwpeDe6ue+z9PuMdWUausE/B7e ++yDy+RnPi3c5m5a37Bj5GIf8jmQZ514+CsTSlHEtXk+7J9QbU7hzLHgkNRNl +Lfs19kzTbGtEPgMcc//wrHu9lXh68TUl47vfgcYU7Es5Vq6Vq3tKLVPObuc8 +C1WTR5DvKLh21LOt4JmRv/VR0j4DvB/9E+C12Ozjbd2xY2tAp0HzN/KsU0+r +t5VD5fImNTgX3Qc4ewPbr8j1Afy/EnuWd8K/Cr4F/abvDX879qzqJN7VJZ5Z +yqFyqZk+HV8N8CvT7ln17qc517p8tHH3vpxj150f5t1z6j31sHr5QuTaUk2q +Nu/mrCrhGbUS3UmcPYJ9BvnDkXtUvaqZrtleDGWTrjHVWkn8fx1B6/BVCb9x +gGNcCq4suDbbFSOxPZH3btuJ/WlkfbHfrplxE1yCz0LSPaHeWB47V+rJZeD3 +ORue8AzfCZ6Iv66Ud6h26VbyN4R7WsjdKb7BwMi7Sz7T6rXYta0YL4BzsXel +5kMe/HvOsSonj6HfFPlba6ZottTCr9YCh26hu4v7H004ZzvgB0NbMr5bO3FO +5F2rGpodecdr1+/lPfvBrZF329/cPxn/Bexfz3qX6A1R5F2inZmPrCNdzUTN +xu/yri3NbM3uq7F3uXKkXBVF/pb6Zgl9O6gs6Z2n3bcn71mlGaBZsCLrHlNv +qQbrYvee/iEWg//N+e2a2bOw/yjnt+ifQP8GLZG/rXKkXF2Jvbu0o06h+1fO +s04xKJaNkXerduom8H8u7Dws + "]], + + PolygonBox[{{4628, 3249, 2716, 915, 4361}, {4364, 1594, 2854, + 3153, 4632}, {4574, 1142, 3128, 3126, 4629}}]}]}, { + EdgeForm[], + GrayLevel[1.], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNVc9PXGUUvTMdYOZ15r15BdGFEKHiQkx3TUypsq9uxI0/WhtNVUoTTSNo +3bjRjRbeAGEBGJJqXdRo1SGk1Y1Rad2qJNIhoWkX/gV2Y41Gz8k5RBdfvvu+ +H+fee+79zht66fWJ18oRcRVjH0bXgYgvahF/5BHTWcRMJWIC9pmeiMtYny9F +9MHuxfgB5+fK+qbNezyzUNL5r2wvNiLWgHMMOF/WdI7rO7ZvAeNIPeIwxp1q +xJNJxBjsFdi9+yOOwn4L9/tgPwZ7CYGexN4JjHHg1DAfx3i8pPkF29ebiAHY +x9KIh3F3FGMA/tYSYRGHPog9VNaYhj2AeTKRb+5xMC7u9WJ+ABi/Id8fm8qL ++b2IuA7t19594HCsO6KOfDdx7iBiuRbKn+dXwGuB/QWMFvZewfd32P8A8wXs +fwOMQcRwBzEMA7eAzweRwymsXcTcwr15jLP43sW9A9jfxtzC3SmM72G/kSne +W7mwWIth+Ho5F85PmeIad2xTqNfpHp2hP/K7YW7J5ZUQP+SG30/j/jPA/x25 +P4K8TyDOQfg4ZUxij+wTBtf6Kzo/G4q/cO7sLfbYjHuN+TPec8h9oy4e2SM7 +7q1nkf8WcD/BvaKinJnvHGIvyuI7BdY9WM8y9cKQYybfi/Z7E/jlunqI9Z12 +D5DTe2GvAqenCzxX1NvdXfJHX52K8GddM9bu04Y4JbesVbusvMkDMfhOiDOa +ysd2rv0N8zWV6cx2Jv/9jqHj3PlGZjPFcD5TnQccz5r75mpDHHX8Tjerypc2 +OWM96JM88V0ctE3ukrLOvlcVP9xv+8zbudbPYf4IvP2MetfdHyf9BlmnJfsY +Q47n6QPvYx3jNrhrN8UD7T3NKKwjnOdsn84US6SKv+Pc+W4YE+O9ZHz6WQHu +t8Bcbaomfa5LrzE393rDOX4NjroR61ZT8RHnCHAaVb3tG6Hcan5TE5kwG5iX +q9IL9slqVe+EHKTg5SgwG5jfB/47uPdUpt5KzA/zYD57teB5ckWf1BL6veC7 +xHgiVb7UMHJ13PFPpuKjAo0pUIcRnP2wpr5gj96PuYS+3k2khXetuX9i/gzj +OtY+z4VHXNaCdWGvs59GcPduolwv5uKKnFEXqA9XrBXUd+bSn8nnq5l6l3i/ +ZtIC6tKuz/PspZAOnbHOUA86rhf9XHPPcd5yr7ZrukNNmLE2UIOYB/kkF+Rx +yVqzaF2lP/YF39LZ/+ESc7mpNb7Fw7nWn0sV11TPf7nSZsyJ+4I6+SbOv0vN +wHwjlw6P5vK/6n6g1jBG4vBuw/fZT+wrcrhgDSR+4VqwvuSs7t4jdst69Qtq +/XEirEOo0UN1+Ru3D8b2aC4+2CP/NKQRk5n4a/ufy9iGreelVD755uatj4yH +sQ86/h3rCXXlb+CvY/4r1z+q7boUjpN6xbV1+yJP846fOrzst3PZPcAzLf/H +eLew3vDNPp+qLqzPv5dhDtI= + "]], + PolygonBox[CompressedData[" +1:eJwllMtLVVEUxte9Xu167jnn3q2WBRkV2SDFSQSRtz+gx6Bs0kN7EWkGRWVp +kyY1M82igdcQLBsURaUE0SSCXlMTegwMDfoLapI9qN/HGnyw1llrr/Xttb59 +1hw93XEqa2bbQA7UR2aZ2Kwzb1YLkmBWrjGbrTLbl5qtJVYFDhEbBruLZpc4 +18DhDuwPYIiCC9Vm0yWzOeptBAfzXrOdsz34/eRX8AfJH8ZeCZZhT5X87Aj+ +EP5W8tvAGLk34XCWb03U7yN+DrsMp2s5r3EVvxW+N+D7ivxuYguKZ8yu4F8k +FshpJPcFPSr0KlN7C/iRd07qqd5NoBH7vJDznurdXXSuL7nzcezvidlecQcl +/Png3FRvAfsdPaY4+wTsgMtheg0XzG7Vmn2jRid+K/4q/Dn8IjWWcv4zmMEe +KznXM5wfLTkncesF/xK/o+76Bjyg3y/wmFrXufNXYgPB766ZaDZ3g+/yNfUO +pM5RXDfBY0MdMbjcZj8x3+rACXKeU2+CfuP0Pql9cTYCGWIPg/eex9+Mnatz ++xFnqrH3p96rhv6TxLenPotx6r3lPv18u5z3HWlX6zgzQP928pdjJ0XXlmaS +YsfBY83coYDdVvCZapar6Vkpem1xFNcGar0nJ6FHBCbpcSzrmp1gfl2x31l3 +1Q4Wyd8ZuTZHwR3sFaA+7zXUU731JlLs+4lrYZCa96i9i2+dS/wN9NI/GzsH +9e4CPUXfnTQr7Uoz0o40KW1qZ9rdNFz+Uqul4BqRNpr49hR7PPK3oDk8S3w3 +0mgf52dLPmtpTtr7E7zWFPiNvV5aj/zt6k1Z6rsUZ3H/GXx30tBi8LfbHPss +9IY1iyOxz1ozkUalVb2BPdgfg2t1BA6fgv8rvkR+d/0zWoLHtPML2DMF/+fo +XyPNiaO4SnPS3n+Nn5DQ + "]]}]}}, {{}, {}, + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3642, 4272, 3643, 3752, 3497, 3978, 3942, 3943, 3862, + 3979, 3980, 3644, 3944, 3583, 3863, 3981, 4273, 4274, 4053, + 4054, 3946, 4432, 3584, 3945, 3585, 3947, 3993, 4426, 3474, + 4294, 3658, 4293, 3659, 4295, 4306, 3512, 4515, 3674, 4405, + 3675, 4516, 3673, 4365, 4366, 4363, 4364, 4632, 4644}], + + LineBox[{4453, 4047, 3620, 3747, 3488, 3465, 3921, 3922, 3853, + 3854, 3855, 4048, 3923, 3570, 3856, 3857, 4249, 4250, 4248, + 3627, 4566, 4567, 4395, 4470, 4471, 3808, 4473, 4472, 4396, + 3687, 4523, 4524, 4408, 3688, 4612, 4613, 4600, 4601, 4602, + 3809, 4605, 4604, 4603, 3689, 3997, 3511, 3956, 4434, 3957, + 3954, 3955, 4575, 4576, 4650}]}, "0.8999999999999999`"], + Annotation[#, 0.8999999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwVzjtOAmEUgNFLpyT4AhbgDkhE1B1IYmUBRgEVsRQX4QOoDJ21hSgq7EFo +SSS4GkXjsTj5Zubef2bW65f7zURE7FFYinhbidjSHk+piNZyRJ0zsrTpsG0+ +sLujQ/2x2/D8V8/1YjWiyZFZhUNqVOnamTjXd72hz5rXx//vml05X6FKmmtu +2DSv6ZedjN7y4uwrM9efnPBtfqxzPdV7iv7lzv3I7q73vGtRx/rBlLL7vL0D +fdCSJrWtC9rSRc2sReT4A2iuKrk= + "]], + LineBox[CompressedData[" +1:eJwNzr0vQ1EYwOG3DCq+WolEohoWSZugpo46dEYNNkl9blqfG4OkM2YkxOiP +MFokJkYVZekgOrF6hie/+55z7zl3cr2+XEtExAqr6YgMo4MRt1wORJwwPxRR +IkEX3TxxnIoY815OP7yX15aW7Y1bPzXPMMs0cxRo8Gh/zV1VskyY77jxfYMF +ZyzSQ5Jenlni236f9nPurAvOmPL9i7NeybHPAU3rR3pIng3zvW5pUTf1Rzu0 ++OTBHe/W/zz/8sW2ua1X7r1ml4p5T3eo82auaVNHhv0H/+XiLck= + "]]}, "0.8099999999999999`"], + Annotation[#, 0.8099999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwV0LkyQ2EUB/ATvSXpGfQkPAQ6RCIJjVFieACGGb3Q25ckxgOoxFKj4DkY +y1grfrf4zf9895zvnju3Z3Ypv5iKiBnOWiM62yO6iHTEX0fEm/qdp7aIZ1ZI +6S3LFrnlzp36xGxWHsucrFHXO3Q+Is+386t31dR1Bsw05KA8lT/6E/JXFuS8 +9y8wqS5RpEKZqplb93bVe+zQl3xHsltv23mMcV7s3JcH9OsXnD/MZOQ6VTs2 +6WUu2efZqPw0U1R/yZJ84JEKU5SZZsjsCMNsmL2054omN1xznvwL/VXWyHHv +2YVs0p2J+AfR6zpi + "]], + LineBox[CompressedData[" +1:eJwVzTkvRFEYBuCjoMMMiSuMZWgk/AbR6GhUEollOg2NWCKxFCjQShSIP6Ci +oZHYajMFCSozg7kj0dEQzxRP3nu/7z3npDOzIzNVIYRp9utCOKwP4YgWWklR +Mo9Z4jcRwqL8kzl5ya3ODdckKnewV6vHaDKEpG7W95P9My+Mmd/JRt15+wf7 +JvkoIxmZL8gOOmmnizTLXNmv6I67p42U/2MOzFbp1ekj740CRSb0BuWrfbWs +YVNni43KW86vmQ3pxToDZmU5bNZtty63ZWS/I5vlpHzTm5J5WaTAO/f2u+b9 +MkeWjP+y3ScfxJQ4886X3ak8kT98M8e5cxf0NITwDzumQUg= + "]]}, "0.72`"], Annotation[#, 0.72, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwNzblOQlEUheFtHGJMHMBGrMQEp/gSOOGEJvcRKBwSA4W1xtqLhXOtwLM4 +PItcNHTa+BV//rP3WuecYq2R1AciIsHqRER1KqI/HrHPhzhA0/wh+8QiirmI +Y5ygJbvVWccGupMRd9y2v+cl/U3OzJnswfkRy/ZPvMLP3JNv8TdX+NTbO/xj +3uY97CI1v7nzjhLm9I5wbf+CVKeMNXz5r8mv9jc8mI+4cKerf8kZn3Nb74rH +uINh+xH8Ov9hHkPyM55BzjsFnuY8RmWp/qzzAv4BRd8rVw== + "]], + LineBox[CompressedData[" +1:eJwVzksrRGEYB/DHSmLmDEW5loUZCztfwIq9RiKlfACihiWNnVi6bAxfwjWx +YW81RWIoYT2DnfzO4tf/fS7ve87gwtLkYlNEzDPdHtGWi7jPRLTKLBmWuc5G +3JBQSmdy2/6u3TUSvRwPScQjB3qz5jN06lfVNf1X3pjT76XLOzvy2bzP3ovs +lz36eVlTD8lhCmxwa3bHAOve2tQrU7Fb5lTvjBMuOGfFbt1Ogw/1J1/pXft7 +cty86D8m5L76irq6wTt/jJl98+R8SIVRpvSO5DF59wpcereq/+N7pfSeXJUt +HRG/zs3OW/a71SP8A3hgOKE= + "]]}, "0.63`"], Annotation[#, 0.63, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3461, 4450, 4146, 3556, 4074, 4232, 4233, 3617, 4147, + 3557, 4075, 4234, 4383, 3618, 4044, 4045, 3911, 3558, 3910, + 3559, 3912, 4451, 4149, 3560, 4148, 3561, 4150, 4452, 4152, + 3562, 4151, 4154, 4153, 3462, 4156, 4157, 4155, 4159, 4158, + 3463, 3914, 3915, 3913, 3916, 4419, 4421, 4420, 3464, 4281, + 4282, 4280, 4284, 4283, 3507, 4507, 4508, 4477, 3531, 4399, + 3532, 4536, 4537, 4388, 4631, 4645}], + LineBox[CompressedData[" +1:eJwVzjsvg1EYwPGnZVX1thV0srlFYjQY8A3MQmJ2iZXqV2D0IQiRqKRGt8ll +qMGdktClNZn9OvzyzznPOed9B5fW5lZTETFPNRNxyg7jPRGblPiyPtBlndQV +PdRdrXa7wxCRjTjrivi2/0ODbTrsd3JlVre+1FHnxxhmhHN7v85caFpTtGiS +uJPTmlmi95rXgv1+fbHu0yIDbFDy5hbTzDJDmZz/zpPQS4EF7zy33+GBJx55 +5dr8hinuuGXR+brZJ2988M6R/2iatdhnjz/Wqbh3wnH7u0nEBP8oKjen + "]]}, "0.54`"], Annotation[#, 0.54, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwVzr0ug1EYB/BHJEw+XhvSQcpNWHoFFk1vwGjQSZomVvb6TJG4AINWa1Vu +oFiRdnAFyqBaid8Zfvm/530+zlnZKm/uTEREid2ZiPssosM6jzxQmY0YzUeM ++eGXIZNqt2otatzRpmPPs3zhjCe6vPPKGxecp71kXKVec1Wac/bSoE2Lsvqn +Owf0nPvU9e5x6PuIGiVvOpEb8lgWzC2lf3JRnspvvphaMJf2pl45kJfyg22G +3NBgnzX7VslTTO+X13La3IEcO/+xbG+OPP/LTzrb + "]], + + LineBox[{4554, 4546, 4547, 4411, 4549, 4548, 3706, 4552, 4553, + 4412, 4551, 4550, 3456, 4480, 4481, 4401, 4483, 4482, 3520, + 3768, 3769, 3730, 3767, 3766, 3457, 4568, 4569, 4415, 4571, + 4570, 3726, 4397, 4474, 3521, 3825, 3522, 4496, 4497, 4387, + 4463, 3483, 4221, 4131, 4132, 4067, 4222, 3484, 4223, 4609, + 4610, 4586, 4588, 4587, 3696, 4000, 4001, 3844, 4002, 4003, + 3711, 4356, 3586, 4194, 3587, 4195, 4303, 4506, 3668, 4094, + 4095, 4636, 4638, 4658}]}, "0.44999999999999996`"], + Annotation[#, 0.44999999999999996`, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3595, 3889, 3535, 3836, 3837, 3838, 4033, 3773, 3537, + 3834, 3741, 4211, 4212, 4210, 3597, 4555, 4556, 4391, 4464, + 3515, 3805, 3516, 4465, 4392, 3677, 4521, 4577, 3761, 3517, + 3826, 3753, 3754, 3590, 4086, 4085, 4084, 3589, 4197, 4198, + 4196, 3593, 4484, 4485, 4389, 4641}], + + LineBox[{4040, 3898, 3545, 3839, 3961, 3962, 3609, 3899, 3546, + 3840, 3963, 4216, 4217, 4041, 4042, 3901, 4430, 3547, 3900, + 3548, 3902, 3984, 4279, 3652, 4087, 4088, 4089, 3653, 3873, + 3872, 3871, 3513, 3885, 4624, 3886, 4616, 4615, 4623, 4486, + 4487, 4390, 4651}]}, "0.36`"], + Annotation[#, 0.36, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3604, 3891, 3539, 3890, 3893, 3892, 3450, 3895, 3896, + 3894, 3897, 4416, 4418, 4417, 3451, 3982, 4435, 3983, 3651, + 4277, 4278, 4083, 3504, 3801, 3505, 4504, 4505, 4300, 4302, + 4301, 3646, 4531, 4532, 4642}], + + LineBox[{4438, 4032, 4427, 3534, 4105, 4106, 3888, 3887, 3960, + 4368, 3721, 4367, 3722, 4369, 3676, 4310, 4311, 4307, 4309, + 4308, 4312, 4517, 4518, 4406, 4520, 4519, 3530, 4103, 4104, + 3959, 3958, 4202, 3503, 4012, 4013, 4011, 4015, 4014, 3694, + 4529, 4530, 4647}]}, "0.27`"], + Annotation[#, 0.27, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3444, 4206, 3594, 4205, 4208, 4207, 3529, 4101, 4102, + 4056, 4055, 3475, 3443, 4499, 4500, 4402, 4502, 4501, 3662, + 4299, 3664, 4298, 3663, 4503, 3501, 4010, 3715, 4009, 3716, + 3814, 4597, 3813, 4654}], + + LineBox[{3796, 3777, 3778, 3596, 4034, 4035, 3446, 3476, 4498, + 4296, 4297, 4191, 4193, 4192, 3502, 4608, 3665, 4584, 3666, + 4619, 4620, 4622, 4621, 3797, 4655}]}, "0.18`"], + Annotation[#, 0.18, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3442, 4203, 4204, 4031, 4030, 4029, 3528, 4200, 4201, + 4199, 4489, 4488, 3499, 4007, 3713, 4006, 3714, 4008, 3691, + 4525, 4639}], + + LineBox[{3772, 3794, 4276, 3649, 4275, 3650, 3800, 3799, 3500, + 4607, 3660, 4582, 3661, 4618, 4583, 3645, 4526, 4653}]}, + "0.09`"], Annotation[#, 0.09, "Tooltip"]& ], {}, {}}}], {}}, { + DisplayFunction -> Identity, DisplayFunction -> Identity, + Ticks -> {Automatic, Automatic}, AxesOrigin -> {0., 0.}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines -> {None, None}, AxesLabel -> { + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + FrameLabel -> {{None, None}, {None, None}}, DisplayFunction -> + Identity, AspectRatio -> 1, Axes -> True, AxesLabel -> { + FormBox[ + TagBox["x", HoldForm], TraditionalForm], + FormBox[ + TagBox["y", HoldForm], TraditionalForm]}, DisplayFunction :> + Identity, FrameLabel -> {{None, None}, {None, None}}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLinesStyle -> Directive[ + GrayLevel[0.5, 0.4]], + Method -> { + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, + "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + PlotRangeClipping -> True, PlotRangePadding -> {{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, Ticks -> {Automatic, Automatic}}], + StyleBox[ + "\"\[PartialD]OR(x, y)\"", FontFamily -> "Helvetica", StripOnInput -> + False]}, + "Labeled", + DisplayFunction->(GridBox[{{ + TagBox[ + ItemBox[ + PaneBox[ + TagBox[#, "SkipImageSizeLevel"], Alignment -> {Center, Baseline}, + BaselinePosition -> Baseline], DefaultBaseStyle -> "Labeled"], + "SkipImageSizeLevel"]}, { + ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, + GridBoxAlignment -> {"Columns" -> {{Center}}, "Rows" -> {{Center}}}, + AutoDelete -> False, + GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + BaselinePosition -> {1, 1}]& ), + InterpretationFunction->(RowBox[{"Labeled", "[", + RowBox[{#, ",", #2, ",", + RowBox[{"{", "}"}]}], "]"}]& )]} + }, + AutoDelete->False, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Grid"]], "Output", - CellChangeTimes->{3.887254261292555*^9, 3.8873434559132233`*^9}, + CellChangeTimes->{ + 3.8878896249435463`*^9, 3.88788974565021*^9, 3.887890075824551*^9, + 3.887890191298184*^9, {3.887890554668165*^9, 3.887890567142034*^9}, + 3.8878906965803957`*^9, {3.887891248705365*^9, 3.887891257006971*^9}, + 3.8879497137739887`*^9, {3.887951123457563*^9, 3.887951129118972*^9}, + 3.8879538344491367`*^9}, CellLabel-> - "Out[188]=",ExpressionUUID->"57c373cb-5d01-42e4-a9aa-9a8f2bd4c3ac"] + "Out[727]=",ExpressionUUID->"31a00c43-326a-4880-8e1b-72ee0dfa92ed"] }, Open ]] }, Open ]], @@ -1385,12 +16829,25 @@ Cell[BoxData[ RowBox[{ RowBox[{"g", "[", RowBox[{"w_", ",", "x_"}], "]"}], ":=", - RowBox[{"f", "[", - RowBox[{"x", ",", - RowBox[{"1", "-", "w"}]}], "]"}]}]], "Input", - CellChangeTimes->{{3.8872598788527327`*^9, 3.8872598922150373`*^9}}, + RowBox[{"MOr", "[", + RowBox[{"{", + RowBox[{"x", ",", + RowBox[{"1", "-", "w"}]}], "}"}], "]"}]}]], "Input", + CellChangeTimes->{{3.8872598788527327`*^9, 3.8872598922150373`*^9}, { + 3.887868643215719*^9, 3.8878686474716187`*^9}}, + CellLabel-> + "In[684]:=",ExpressionUUID->"1e450851-7f18-4882-80dc-72864ff1825b"], + +Cell[BoxData[ + RowBox[{ + RowBox[{"lImplies", "[", + RowBox[{"w_", ",", "x_"}], "]"}], ":=", + RowBox[{"Min", "[", + RowBox[{"1", ",", + RowBox[{"1", "-", "w", "+", "x"}]}], "]"}]}]], "Input", + CellChangeTimes->{{3.887952142446269*^9, 3.887952181336872*^9}}, CellLabel-> - "In[189]:=",ExpressionUUID->"1e450851-7f18-4882-80dc-72864ff1825b"], + "In[685]:=",ExpressionUUID->"feed4e75-024e-498d-9b6a-b3dc2b4b8324"], Cell[CellGroupData[{ @@ -1407,16 +16864,18 @@ Cell[BoxData[ RowBox[{"0", ",", "0"}], "]"}]}], "}"}]], "Input", CellChangeTimes->{{3.88725990106975*^9, 3.887259906913588*^9}}, CellLabel-> - "In[190]:=",ExpressionUUID->"95b224d9-5f9f-4624-90e0-7346d96f9785"], + "In[686]:=",ExpressionUUID->"95b224d9-5f9f-4624-90e0-7346d96f9785"], Cell[BoxData[ RowBox[{"{", RowBox[{ FractionBox["3", "4"], ",", "0", ",", "1", ",", FractionBox["3", "4"]}], "}"}]], "Output", - CellChangeTimes->{3.8872599072600727`*^9, 3.887343458588017*^9}, + CellChangeTimes->{ + 3.8872599072600727`*^9, 3.887343458588017*^9, 3.887868654729162*^9, { + 3.8879521527935677`*^9, 3.887952182524169*^9}}, CellLabel-> - "Out[190]=",ExpressionUUID->"4a9d6c7f-750f-4ebf-9a65-982a9fe34c6c"] + "Out[686]=",ExpressionUUID->"115f6b57-d08d-4506-ba81-4327af00c4e5"] }, Open ]], Cell[CellGroupData[{ @@ -1431,7 +16890,7 @@ Cell[BoxData[ RowBox[{"w", ",", "x"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.887259954213162*^9, 3.887259999620221*^9}}, CellLabel-> - "In[191]:=",ExpressionUUID->"c81dbb03-8f38-4b82-b876-02b9784aedad"], + "In[708]:=",ExpressionUUID->"c81dbb03-8f38-4b82-b876-02b9784aedad"], Cell[BoxData[ TagBox[GridBox[{ @@ -1489,9 +16948,9 @@ Cell[BoxData[ GridBoxSpacings->{"Columns" -> {{Automatic}}, "Rows" -> {{1}}}], "Grid"]], "Output", CellChangeTimes->{{3.8872599588740587`*^9, 3.887260000131254*^9}, - 3.8873434595201817`*^9}, + 3.8873434595201817`*^9, 3.887952335504478*^9}, CellLabel-> - "Out[191]=",ExpressionUUID->"6a86ef6b-5e4e-4dd1-ada2-c7ba42490a51"] + "Out[708]=",ExpressionUUID->"81c62b9d-f44f-4932-b262-32b066c47509"] }, Open ]], Cell[CellGroupData[{ @@ -1507,7 +16966,7 @@ Cell[BoxData[ RowBox[{"w", ",", "x"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.88734348041336*^9, 3.887343486804093*^9}}, CellLabel-> - "In[192]:=",ExpressionUUID->"46317eaf-a9d8-46b1-8125-7624a334afb9"], + "In[709]:=",ExpressionUUID->"46317eaf-a9d8-46b1-8125-7624a334afb9"], Cell[BoxData[ TagBox[GridBox[{ @@ -1565,9 +17024,18816 @@ Cell[BoxData[ GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings->{"Columns" -> {{Automatic}}, "Rows" -> {{1}}}], "Grid"]], "Output", - CellChangeTimes->{3.887343487553802*^9}, + CellChangeTimes->{3.887343487553802*^9, 3.8879523368201647`*^9}, + CellLabel-> + "Out[709]=",ExpressionUUID->"5a4852db-99b5-478f-8fab-ac3a4e740c23"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[{ + RowBox[{ + RowBox[{"impp1", "=", + RowBox[{"ContourPlot", "[", + RowBox[{"(*", + RowBox[{"lImplies", "[", + RowBox[{"x", ",", "y"}], "]"}], "*)"}], + RowBox[{ + RowBox[{"Max", "[", + RowBox[{"y", ",", + RowBox[{"1", "-", "x"}]}], "]"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"{", + RowBox[{"y", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"Contours", "->", "10"}], ",", + RowBox[{"ContourShading", "->", "Automatic"}], ",", + RowBox[{"ColorFunction", "->", "GrayLevel"}], ",", + RowBox[{"Frame", "->", "False"}], ",", + RowBox[{"Axes", "->", "True"}], ",", + RowBox[{"AxesLabel", "->", + RowBox[{"{", + RowBox[{"x", ",", "y"}], "}"}]}]}], "]"}]}], + ";"}], "\[IndentingNewLine]", + RowBox[{ + RowBox[{"impp1", "=", + RowBox[{"Labeled", "[", + RowBox[{"impp1", ",", + RowBox[{"Style", "[", + RowBox[{"\"\\"", ",", + RowBox[{"FontFamily", "->", "\"\\""}]}], "]"}]}], "]"}]}], + ";"}], "\[IndentingNewLine]", + RowBox[{ + RowBox[{"impp2", "=", + RowBox[{"ContourPlot", "[", + RowBox[{ + RowBox[{"g", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"{", + RowBox[{"y", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"Contours", "->", "10"}], ",", + RowBox[{"ContourShading", "->", "Automatic"}], ",", + RowBox[{"ColorFunction", "->", "GrayLevel"}], ",", + RowBox[{"Frame", "->", "False"}], ",", + RowBox[{"Axes", "->", "True"}], ",", + RowBox[{"AxesLabel", "->", + RowBox[{"{", + RowBox[{"x", ",", "y"}], "}"}]}]}], "]"}]}], + ";"}], "\[IndentingNewLine]", + RowBox[{ + RowBox[{"impp2", "=", + RowBox[{"Labeled", "[", + RowBox[{"impp2", ",", + RowBox[{"Style", "[", + RowBox[{"\"\<\[PartialD]IMPLIES(x, y)\>\"", ",", + RowBox[{"FontFamily", "->", "\"\\""}]}], "]"}]}], "]"}]}], + ";"}], "\[IndentingNewLine]", + RowBox[{"impPlot", "=", + RowBox[{"Grid", "[", + RowBox[{"{", + RowBox[{"{", + RowBox[{"impp1", ",", "impp2"}], "}"}], "}"}], "]"}]}]}], "Input", + CellChangeTimes->{{3.887891084478343*^9, 3.8878910929206038`*^9}, { + 3.8878911339403133`*^9, 3.887891183929619*^9}, {3.887891232378418*^9, + 3.887891243983523*^9}, {3.887949723977706*^9, 3.887949757915202*^9}, { + 3.8879511391089373`*^9, 3.887951194173952*^9}, {3.887952201603012*^9, + 3.887952220496492*^9}, {3.887952256250382*^9, 3.887952263120162*^9}, { + 3.88795383975543*^9, 3.887953850501157*^9}}, + CellLabel-> + "In[728]:=",ExpressionUUID->"9c3d75a5-6f6b-428a-ab36-b4310252f443"], + +Cell[BoxData[ + TagBox[GridBox[{ + { + TemplateBox[{ + GraphicsBox[{ + GraphicsComplexBox[CompressedData[" +1:eJx9XQd4VcXyBxsootgQxN59imBFRVh9FnwKKorwsKHos/LEiqAiPGyIBQE7 +RQyiIIoaJJQghAuEhFCSmxASkkBubpKbHkSwi/975+xvxplr/nx+3/F395zd +ndnZaTvn5IShw2/6z16tWrU69qBWrRJX+2/yyf+K/5fqNA4xLkn7b/y/HNMe +ZkzNJYWMtwY/MN7zZ+LfdsaT6PkKxicl4ORKxgvp8WrGfWjAWsbF1H8944dp +go2MLV1/fw0xBn26PcwY9AGDPmDQBwz6gEEfMOgDBn3AoE+vyw6DZZ3+ni65 +avpChr6QoS9k6AsZ+kKGvpChL2ToCxn6Qg7rpeVsh8Eid3+/TkKXvYI+YNAH +DPqAQR8w6AMGfcCgDxjrBQz69L7ZYbDso7+Xu1ASHbpdrnr9wmb9wmb9wmb9 +wmb9wma9wkYew2b9wmb9kvXC3++jUNK6WDqA7RX0AYM+YNAHjPUCBn3AoA8Y +9Gm9tsNg0XN/rxdCSXJm18XSAWyvoA8Y6wUM+oBBHzDoAwZ9Wk/vcC3p7b/X +c6GkfWPlzK6LpQMY6wUM+oBBHzDoAwZ9wKBP250driU79Pd6O5SkB+y+sXJm +6QC2V9AHDPqAQR8w6AMGfdqO7nAt2VXQZ/W01WtWD1g5s+ti6QC2V9AHDPqA +QR8w6NN+wQ7Xkp8A+qzdsXra6gG7b6yc2XWxdADbK+gDBn3AoE/7OTtcS34P +6LN21Oppq9esHrD7xsqZXRdLB7C9gj5g0Kf9th2uJT8O9Fk7au2O1dNWr1k9 +YPeNlTO7LpYOYHsFfdoP3eFa8kuxXtYvsHbU2h2rp61es3rA7hsrZ3ZdLB3A +9gr69HytXxpqwc+xfoG1o9buWD1t9ZrVA3bfWDmz67IjiS57DeabwlesJ/CJ +NH4Dt2u+2Hb4PU0mPpFx0B7wLd29Rb/XMdb7Qtr/Xq7Sefyg30zPzxhjrSek +3e47tGO8YN65bhjdWMVY81/arV5CO8aj5skFfv2jjLG+tt3qbbRjvGtonGJ/ +jTCG/Nh2a9fQjvGCfsuSrpDPln7HePhdzyfS4jxamjf6RTv6tXyzfGqJr9q/ +jPJ4dl3tOra07hgP7RjPyp2Vs5bkEuOhHePZfWH3wf+/b3K4HePZfWz37f+/ +z0PcjvGwj+2+13pkB+sBtLd0tXrCPvf387R8ED7bdbRyYuXQyrndR3afWj1g +9YzVY1YPaz3YbPTuZMOPya6l3/Ec+rHXlvpFe0v94D7w2+pz0IWr1u+ZZh1z +GYOfwOC3bo8wxnoB6/VNMfsixV1N/wP7MC9pnpgfMOYHjPkBY366PcIY8wPW ++z55XHvF+MAYHxjj6/YIY60HM923dK3z92WbfZZMt52HvWI+Wk+WmfYIY8wH +OJCfGkeXk/OMPOWa/S/rgH2G+QHjPmDMT9vHMtMeMXo66qjbtM1J627XwfLB +XrXdA454/bGV5QHtkFdg8EOP39SiHFq5sOti5wX9p+12jDHmA4z56PGaWtwH +Vi6tXAR6chvzRdvhiPFnIoZfEcOviOFXxPAreV/afWLlVK+TzEvbiajxk6oY +Y77AmC8w5qvn05SkN7SdymSMfRP0W52kZ7DPsc+w/nadLV/tvPX9VYztFfQB +gz7t3zQl+b1W7q3c2XW2fNT3VyXNA9heMT/tDzUZPz+D7YbWWw08f7tP7T6x +cmnXXd9flcQ3O09ge8X8dX+1fp6r/Xgx9wj9vsH7LaW+vdzRcH9u8f0gn5fm +51HPfIBfoDHsbRM/B38BGPPR+y5m9EJV0jwwT1zBR9yn90t+Ep163LQkfuF3 +LWfZzH/sM603I2Y/yX7Vfka68Z/SjV+cye3AaNf2Fv9yuV3boVattP+UauxA +q1ban0o1ehnPR7hd60Xk+aPcruMS5Mlj3K73UatW2h9LNfKTavzFkNP8CBl/ +MWT8xZDxF0NO0xMy/mLI+Ishk3dKM35ajvGTcoxfkmPsco6xiznGDuUYuc0x +40MudiT5Z8F8w4Y/YcOfsOFP2PAnbPgTNvwJm3xRrolTcnl+1j8L5lXI8wPG +fcDaryk0fkWhseOFvM+AtT0vMXqlxNjzEh4PWOcPSowfIvkQ6BnEdegHcR0w ++AUMful9uiPJf9PnQ5mMMX+d9yhmrM8bSnm+oAvzBcZ8gTFfYMxX640dSf6d +Pu/JNHnJ3KRzHqyjzi9FDD8jhp8Rw8+I4WfE8FP8O4yD+ek8aW7S+Y329yoY +6zxR1JyTRM25QtTk4aMmbx3l+Vr/TuePMhnD7ujzm3TDp+ykfBHsn943MZZr +7bdtZ6zzbDHDp5g5F4qZc5SYOXeImTx9jOm3+S/YZ8xf+2OFxt8rMf7ddsaY +PzDmD4z5A2P+wJg/MOav7diOpLySzjuFjX9RaPy9EuPfbWeM+QNj/sCYPzDm +D4z5A2P+Oq7ekeQ3Wvtkz8Egd1inoJ8Ms24h9hMhl3r/Zhs/KZ8xPc5xQDXr +W+hji63fBf1n9Tp+R5wJDL4H45ZzvzrPF+H9B78UGH564CZs5v0GOi3+ez+y +lvuxfqz2ywuS/GQ8D/8J40AuNT/rjP2PmGtyHsDqz+AqeSLIlY6LMnj9g/us +n52W5BdjHlgfrIf184HtvEE38lrB86uT4gxgyycbF9g42+plrAPGaWndrV7D +umM/Adu4Butm/R4b74BPLe0T6xdgn2j9HzVxW12S3675InwCv4Gxz8EX7deH +GBfRfZDXJb4fxNHf8v63dg9Y81fiPMh30C/WB/sEcWCepxv6A34f9n0J72fr +ZwKDvzZO1X4C1gN6rcjThXqSdb6/Wv/8Wv9cLfNV07/N5J+ymZ82D6HXoYD7 +A79sXk3ruyoeD/Rpf73JxEFNZj/JeQ3WHb9DP+h8EvzdCh4X44EOxO+gA/sH +9CGvpe2JlY8Spg/5PNCn87VVSXYc+szyT5/3lCfxC/oR8wcfcIX+A/3QZ/p+ +rFsz8w/81fo2yvzTfuo2liPwD/PTeEeSftZ2KsLj4HfcF/ChifdzcI3y/lpE +/W5kedf2AvmCeu4X/MR44AeeC34X/RHcX8HjBXg9j6fjhSUsVxhPxydybq39 +lBzuD9juP+wDvb8irDex3tqOSV5T87vM6J9MHg/60q4X6IM+s/YS9EHfWHsI ++nTckGn0XYTH1XmyWJJ+hr6FPrT6E/oQ/MPzOv8s+XjQif0DerF/QB/kxa4X +7BzoDX6fZ+oYU5hfaMfzWD88j/2n6yLFn0G71peZRk6yk+JovV7ZSX6YtQNW +L+MKvuE+K+/aj4wYf6TS5B2i5nyuhvUj9Agwxod+xviwqxgf7Rgf7RgfWNvN +QhOnFBs+bk3Ku6Ed+lA/L3zGPLQfEUnSgzZPoO2KxM02DrVxnV73pqT6Wn0O +lm38NcnTYX5oBx90XeY2xpo/Vdw//C70D4x9HMy7mudr4+JgPVfzvgvWbw1j +Ld9lxm4i3yfY5nN0XLnEj9vAWMexzWa/NvN9Wi+sYvkK2sXv03FR1MwL+dNy +41fa87g69kMxLuYR9Is8Q43pR/RncF+xmWex2ReprL+gn6G/sL5B+2RTd5/C +dgL3630w2eSVUow9m2f0UJqp8xd7p/MFYkfwPOTH5nF1HCj7VMtblLGOS1DX +VMd2L7Aj9Yy1PRG9DDti88iYj9UL2u6I36Ltjfij0H/oD/pO2598Xme0oz/Y +UZvXRn+2viC4rZDtM56HPtd2WfJuWG+0g7/6+QYTJ9VzO+y29iOyjX9SZeio +4nboIR3HSh4T9KAd9Ojn60wcUMvtoEc/32Di5Hpu135vqTmvL2F50vuqOUmO +of8gR8A6/sI59zb264LrdsZp3v/RfkOVsVexJH9U+/X1jDF/64dgHMwXWO+b +KtZbWDfIJeJ4LbcxllM9Tzm30Hm9mIlzpF5B18GWJ9Gt8zYFJq+Zz3zR+1DO +dXA/5o92zF/ztcy8P1DK7breRc45dFxbnrROwPbcQa9/rbFfkl/U5wVV3I51 +0s/HzLlGjNuxv/TzdeZcSa7YX/r5BnNuUM/t2F8639Rk8vRN3I79ZfPSGCeQ +x+84bgrkdyVj9KfjS6mX0HFlufEjkJ8Q/wL8hT4MrpIXCq5VjCF/Os8oeayA +ngLG4If2g8S+6fNM8Z9Ar45f8F5UKdtjHb+gXkDeu9F5ytWMYe90vJ3N62P1 +PugGxr6yeXztZ0eMfEseRuuvasb6/DNi5Ddi5DZi5DVizkcjRj4j5rw0YuRR +sJYv8eOtXtT+UaF5f6w0KU7DfTYPrd//CifpD8i1jvPkfSfIJ/wPjIP+II/Q +9xgv4J/4s8FzW028X2fsxDYzThr7n9p/FflDu/ZXU52WV/t8yNwfMnKaY9Yt +h9cLWPcXNv2Fjb0sZGzfO8N6Q76sf2TfuwPd1q7o97hKzXtPpZzfs/4H9hXk +SefBso0ciJ+lz8tjSX6i9bN0frnW7Odas39rzX6tTbIrej/Wmv0n7zkBw94H +65PC6wQM+oP1RfxTZeKjSsZaHuZx/9Cz6B8Y/ev4pyqpTgFY570ykuqc0T8w ++td6fQdjPI99jueB8TyuiI/0/m0y82jifvC75rP8jn6Dbb05qS5b75tiI49b +k+q29b4rSzon0esv/jL0S0t1uloOq5Kutg5Cn59InURLdaj2HB/t9pwf/NXn +kE3cbtcB2NYZoR3Y1vXoccqS6mr085GkOha02zoXO29gWweCdlsn0lIdrq1j +QLutc8D663y5nFPac02bl9HnIhlJdcC4H34lcCCHKxnDvsBPDNZpNWPsX+Sx +tP8m+Qlbt4D10vpc8lK4X8cZZSauLGO7q89BtzO29RH2quWknP3NgG7BWu8l +15HYvBzu1+eW6ea9lSXsRwBDb9lzHst3YMhNIAZr2D8OxlvFGOfVkJeJ1AHy +GYtYzoJ+v3V/0O/od6GJO1EXB/mX82nosWBdY66UbpDzal3HAr7L+Q7Or4P7 +4AeLX408ZnBFHaOcT2u/tMjbXTmv1vEx/Mta49/A3mb5edQaf07sbYAnG78y +heeLdmDYW+3/pZh5TzZ+bwrzH+26fmAe04X7cdX2XOqSQY+9Qm5Bn26XOlXQ +g3ZgPK/jI/EHcL+tA9R+WBpj9Ad6oG9ADzCew74AtudGul3qejF/tFs/VseX +Lb33J3XuGB/xJLD1U3S71BVjfLQD6/1VyvcjHtTxSJOR0xTj36QaO5zG8Sxw +cNls/Mt8ni+e1/KdzxjP27ogzEf7T6nG7otcAcOfwnx0u9Rh43d71edKpUl+ +BvoB/zRdzWZf2/c6U41fkmbkJi2pnkG3S904xrF5BTyv+Rcx/IuY/VCelBfR +ekXeg9B+Efa9fX9Gzud0vFvB7cgf6XqtmNN5D8nzwa4Bg/+2vkvHNanGT0vj +cYH1eaB9rzbV+HFpSXoI+8rWTYNeS5fOM1bx/ZgX2jEv/bzUJeN3XPU85D0w +G2eiHX6Gfl7qbsFvtMP+a/qbTJ1xk7E7zUl1bPacxJ4zaD+jnDH4qetAqpLm +ZfOqOh9Vb/pL43XGfkM+UO9jm49J5fXE/dr+ppr+Q0YvhEx/IWO/Q0bf5hg9 +k2PsZ44ZL2zGC5vx5LszWm83t2jXrR61eknvjxK+X59zprG/jXZdH5dm6gXS +OB7UdQfRpKuOW6O8f3TdmGDsF2Cdp4/y/gDW9f7RpDynjvuizM+W/Bpg+z4D ++oVd1PJayBj6Vct/CWPYAT3P7Ul5Xd1fRRJden9WmvqkajOeYPAXGHTaeBUY +/AW2V1uHbeMofR67lvUD9I7OP+UbuxRmjHMI0Id1AMY6oE5E133JeYeuY0iO +W6Hf9PlFPs8b8mDPG4PxK03dWVXSPIF1nAD/B/nzzYx1XUat0cOrjRxmctwI +fiN+BNb1C/LeAfwPfc6LuM7iWo43dVydb+KZMN+v+SJYx/slxr+Tc3j93lYZ +ryOe0+u6hMexeRXwDXwK5EXi6WBdJP4Nnofeg16V+DTA65LiUfseCuw41gHj +B3xaZ+L/5qR6DthZLe8VvJ+Bdb6pIslOo3+L4Sfo77ylMB0Bnmzqkyez/oI/ +DrmCHYFcAcOOwm/Ceti6T+sP6fHqOX7WdVfzmB+Ir1DfFDwuGPYU+x7zw/x1 +nbZ8L0PXC8AfLjb5DXkvCPTpdco054BV7C/ourcNrCeAg/4K2C5An2A9td2v +MH53iPvHvHTdwmpTN5Ft/GDJ52PdMT74hvGB0W7PFW29CNYD+xwY+1rr2Yqk +ek5g6CvoVdyP9cX9wFq/yXsUeD74HXlvOU/XdEDvSF0J5mPPqaDXbV2y/c6H +rucRPQd+2fcItD8n90Mv23NfXSdm+byB5cDKJfQV7KyuU5P3jrTfvI7pxvh4 +PtinOE+R+gMtl5ivnFPb9/R0/LWFx4Mc2e/8wO+xdgn8su916HqXMN+P/YB4 +A/dDX2H/oV37EZOT8jp4PhgnLSlutnGyfj7Ez2M/Q79jXXA/MO7HOtq6JJyn +g25grCPOO3S/zWYeci6H32079gd+1/q4gOUb7fa9Ml3vXG3qnWsYw55Yv1rX +Pzeb97BLDN+3Gj0g9c72HM/mVXTcX2X0bZU5b67i+aNdnz9XmXOJqqRzMBuX +6/PJKqb37+uGmoz/2mT0TJPJJzWxXUA77Cvabd25rfuz55A2r6TjtCbmH9r1 +Pm1i/ln/Bu3gH9r19y+aTFwl38PTcaX4S/bcB+dpAR/XmPMr+Y4Cfg/6gR0t +5350/itk/CDUkct3BzEfnYefbM4VxH/D/TpPOZnzmsD6PU15Hv3iea2/JK+q +5SPTxF2r+X5Nt3yHAvfr7+rY9262s97Q713k8/3A8OMg5/DjEIfZvK72K6vZ +r0ScCXnD/HVd5WpjZ1ZxP+hX1x2U834Dhl2HnGg/I8r9Q970udkafh7ypfNF +5Szf1n5gvVBvGPBD4nnod60Xw0Zfy++4T8cz8n1bPKff3wibOnT7HnYVx4fo +H/5bwN9C9jeCfVptznnnmXgjlc95A358y/KEddL1wPDXtjGfsf90XJJh/I/v +TLxaZeRbMPgSDFdh7GdFkh4CXVpPpTLW9iXb1OnKuSrWW9cby3dq7Dmwzp/M +S/rOkj23/vv3sBuMHdhu5LPc2C+pG9H0Nxt92Wy+P5G8LsCgn27j+op6o2/k +u7YtyYV+jxr82W7ipgrGuh6uyujHKrM/8/k5yIPmT7Jc63zIt1y/oPPnucZv +yOV9Bb2n80kih8EVcWAF++UBH/NYX1k9jH2u9XB20j7Q8cF69vf1+0vYPzF+ +DxhY01ds+F/kf5f6BD1fyTtou7uO9SjiSu3/yXtT6BcY9gXjAIMPNl60/NR0 +5zGdOr4Rum1diI2XdLwW4n0FudPvk1caOxhh+wm+tqS3IB+4X88/ynyFfdXv +NSXrScgD7sc89T4TrP3WeqNvbJ1Uk9mPBbwfNL3yvhTo1uedYZ4fsPYDWrX6 ++zxbcl4OehR80O8dbGD5BF90HqbC6M0Kll+sC9YB8oh11u/PVBg9VMH5euhF +zbf1nB8Hf3UcuTrJD8G6gB/2O5CgW3/fJcfYFaFfx3cRI4fZSX6Pxmm8Ttgv +0KvaT5T3G4B1HibV7Et53+Hv+w85/XzInBPmmLqRsDk3lO/1Y720Ppa/a6Hp +2MFY6xv5e0I6LyXn67qOO/mc3L7no79fFjN1n/L9LnueDb2sr80mrz6Vf8c+ +0vXv8l0CvX+k7lX7/QVGfoqYL/hd+9cVRr9VmbijysxD9K/97oKOR+eZ/ZHC +dOI+yBvuw3Nar8h39OH/6POdnBbnDXsEOnXdfjQprtHnBvL9Jf3+aEWLfNfn +YxuM35abFIfZv6Nh63L191KaWV7wfZGg369Znwb7YCX7TUE38r457JbOcxaw +3gvaC9nPCOaxlfUv/ENc8bs+L5M8N/rFOBgXfg/ydpgn5g067PvsODcEH8AX +XKGfgKGHtZx+yhj8w77AOQkw6If845wGGPPHukOfA4NOyCH0uc4HR8252ziD +YVclLkE/8Nu1/arl9dbnftavSv5er/Zvl5jzd/m7F9B3Wk9L3IV22AXwS/9d +KPj5Wf451G9DfpZy3bDufwtjXZ+3lvkODLoRb6POF/E26o5Bn30vMpCzdJ4H +5oXx7XvIug49wnRhPva9e/09hCzmC+gIxl/FGPtE+8HrkujWz+e0cK6Ac89y +oycF23Mouw42Hw27BH4F4y/g+QS3hc38w8yvgH8lZj7y3p1+3yPLj1fL64h1 +xTpj3XU+SPL50EfIh4Lf4Auu+B334Tw+mB/izyKuH4cfresmNvPvwTrJ+Z09 +pw3uh38u+TzoH71P7blukYl77PcVYzxPzBt0gC7sX+gj2CHoHy1PG0y9lfxd +SthdyCH0E/SIjl9sHChxJ/Qs9Kmuwy9iPQ19ijoJvDcAPQ+7Cbo0nZPZjkCe +gt9zWZ6C56O8j63dxv4M7DrqJdeynrB+BfZbwDf8/ZwI6yHr9+i4aZlfF6kX +CcZfyPUheN8hGGcdv38AObJ+ieZvjaFf/u6VPudF3F/M/NF5nZDJe60yeaft +fMV+A7267iPE+68lO6/9ysnG/xzn59vMOJhPM/sdwWPIh0seDP6Izk/WMT06 +X7uK1xv06POLcl5fTU9GEn2annEsv9jH0KfaLw+zHoD+BNbfPxJ9CT0AfQn5 +QP+6rjnMzwf9hlk+MJ7OX1Vy/6hLQP+YL+TN9qfjtGJ+fvy8Z16/8KVGN8Pr +keNeO2n5U73q3QdeTm49ZP6m43bWuKjXO9kN9/b6bU61e9eP9/Llv7VpO7TS +y3uhW0DXanfgc2XrP50bdg9+cOBz6Z0r3DavxybMeXjN6I+2u9bEr3I3oXRl +ZXGbEjfF672hU7plvPVUoTvFz3fgEV0Gp9Qgvo37uz9Ulzz9+Tp3rdebnz51 +/DHHj1/p9VS9u/yYdzLfWvi137/xfRyq/qjH9Ea39vask/Z77htXOn16+8MG +1LvPM9re9k7FSvdOu1Grx3arcNUvbnDDLylxbTYOuXfx+u1uf3+tvanrJ6e1 +yXH9Rg14tumAWpfin9vm+xk7adlb/bvXuUdOmPv1CSMzXcOwJ/acFYu55Qs2 +/LJg2ib3KI1f5c46cuf41kPicc3C6Q9d8FKZ6/Hne31WtIu4U4a1u7phZ5HL +OilSHB0QdcX/HbzkwusK3GfZY1zPz6rcjcfuv+nYz5a6Q9P2PWnEqAZX9Xaf +hbH5M92SAe1qs1fKeeYAT/dGWp8mv37y9w4Lzgzt/uWKGawHfjh++Be3jlnp +emR1mVc4pME1pgX+WbCfqly/PrPPuber1CEdsHBsTV7bEle65fhHiy+KutRW +rR+75Qw53zx7z6Htu0zd7u4geSl3j3r/rXno/S/2e77AXfBQ9i2T3pQ6qDu8 +XA34/ZSjLrxwk7fjEg9/f8FPd1/Zs94d9FDrvFmH4L2eOjfb07XJ09n0r19L +X3252VW+XLLqxXvecVmtHlh82a469/g7q//xzu7VbuwjVwyfv6nWvbtt4A3b +Xsl2FxLfq1xfWofNrlP3N1rnd6p0F9x11N6fnlPkmmj9oq6suPr3wRu3uJIp +u5Yc1n67u6j02FOPnlfu+g2fd1rzqlI3hvqNuMVvDSjqcGm+l4Nq9/zO3n0v +GpjnfqhOzCvmTqL1zXXraH1jbua1rxyYMzLDtTv7/p4nHNbg7t7vslX7pixy +g0/55tr/9Gp0w17878rxd7zpsul++Ttq/R7stHfeTeP9+tS6e6K/5b9xT5bf +56Uu9athN374csQtCwTfvXnf1jP772rw9NW5+zLO369v/P7RNL8yP7+I63TY +m7f8o36J2zQ9wbcGN29A4ZSf7q50Bx05ftvtH21xM3vmPfq/+P67O5SYX8xl +v1qXv7y5wa1/5pK3b2y1lPtBvw/4cY704+I59BPwa4sbQ/yScTDu3AlvnJWY +d4anY+npBS/mb2lwqUeetf7j1YvcHz+U7z5mf/ke5cb84/on6D7F8wF+9UEv +/Hhwh9Wl7pnl+/z803T5PmXBE1mFCb791/MRfv7dPz8QXR6Xk/8de/vj+6zM +knrcO8pXPNUrOW+e9ehT5w6Or/P0Pmvuyx8gefjMHXmZoz9KzuPvOjr1qWhc +zo7OnHr4xXG5muj9e8Qt+xzV//Evjs50vT/c2dl9XufO8PbzB3pO/CPM643I +rDd+673Wj1vm17vcXdaxz3P1z2xzp3p7e+768ecPHmj/LmaZ6/1VYVzPR1yN +3/cPHHNNXI83uIqv2ny4+4vlrnPXY76559d698uohT9+WS/fv+vr+d7pvis/ +PGteg5vR5r2jL+8ucdiEj28ad/hL+LsPEXf9ptKuUz9d6u1Cg+t+Vvn8/4yq +NHFPpUv5zKWc336L+7Ku8tM7jkz+/sfnJBfVrvqD9P/kD5D3SJDH+MfL1+5/ +0+F/+f5395PC9w5e6HoSnY3udO9vB3Yi5g4k+cj18hPz8pPr5SXZz7/n3xl3 +5MT38Yvrv1o1pibC+w5x3QHTdr39693yvuzX980c2apbqXvhoqvu/zM34j6o +uG7Mj7/K+xmBvEVd3cX31meeU8RxyGUHn33xuLuKkuKQA6P9Jhwd10trvx6b +/m5VNuftAr24zr0/t7h//geSp8glumrdQfs8tmzqx9nuvfRBk296QL6HMfrO +L0fXP1Po11HqIVfdeMblE0JS/wi/I++8p3M+nVvozh91XFwPVrqiDbvjelHe +cxlVsfrdOz+vdkdc8OHMQ0dL/d+qS0aE/zkvbOp6wu6JqtSvRqysdqlxpb3u +mbDLJP1T7RaQHqt1/Twd33z/R23mOcLXuoMnrE+s6zV+neFPHd1/y4Tfem9y +D5Ec13j7I+eDDcRnOQ88gfycqDtmw7eDUmqSzwcDuYi6aW/s2titu5zfIS5P +2bHPn7fG93H+K6PHhjuJPI8n+U/+Tm2M5Dbm96PoEcTTv75w4nmDB8r5UuD3 +bHZl9EO+u77DMzUvd652iz3/Ar+rmuWm3ssR5Bhy3e/GKV/9Z1Q19/NUw6g5 +dxxZ6OW7yn398rwXD9nd5B789trhd0dnuWf8Fb9v9fZnv2lv9rym//vun/N2 +dbywd60rOmr+oVcXSN3ogIP26njxxnyXX9P+6T0zS9ykXp3vyhpa4fbvd/im +3ysKXN7AX79sXF7lRjZkt7qi4wL34K6Xe47JbXTV1P88P88mVzw1GKfUjzvR +++3fPN7h66zH5ru+/r46/xziiJ3zT39qn5V4v7nBhQ5fsWZF8zK39Mxrj7m8 +e4Pbx8cFsJ89Lu+3PLGP4O98OPPUITk7C9y+yx+J63OcO8r55gHkz2513R+Y +eN26h6MuNnb4n0NeLXat297cdUK7qHvbx3GneL3bdc3w75t7Sv67+tzr4nzf +5iJPlsb3F84poadL3eltWr92dCziPltzY+Zl4wrcnzcvvvzH5io3dHu7bjvX +o960muV6G/UjcWdAZ40bMmF7xfanN3o5rnGneTvy+AenFMxvh3xLprue+Fjn +jvh56Qf9bl7j51PnvvN6dW/iQ6NbdkeHd4unNLuMT56NrikYHZffTfe/s7HZ +1byROW7hAy/3PHpStGzh180ueueyiT32f8y1eeXcqd/OaPbxwWS2V2OVXY15 +PZfr9ZroX9inZ5XdLvZ6OeqGkh4WfQl7NOCpx/Pnt2t0F5Kf1uBG3BCOXX/+ +MvfEbXljjixqcONOHHvQkTlL3e3kZ0XclNa5cX9EvmM23tut1kvbf7ckblc/ +WbQ57o/guxxZbOcyWwV6aum1Q0lvYR/P93arlPzFLX4ele7jy349c/elyFdX +uo7kF8Xt09gHD3w/c7G7lPRpxNWTPi1zr+y/Nu63Zrlc0oe17haiS/JtPz+3 +/47mnqi3qna7yf+qdM+Q/7XFnUt+bNj7ffH9P+/GI2e8GHUd8rK7/z642J16 +aud4e647dMrr8XbJfz3VOm3DgB+KvJ4TO9Te2x3oRawT1u1abydhN2EnoXcv +e6X8rcayZjdmSZdXxodfcM//8OxZ533U6P2bb12Zl2PI9YObzx+Wd16F67r7 +uJ9r4vbywwsO3JDYd9iHX3Xb2Pvmk3Lcofs+cF5e3J5N9XoB8f3jm1647s3j +R5q/ozPOz7fZHXtgu8UPD36T81MXDLp4zytv1rmh/2wY2Pn1THf8Lye+12lZ +nRu197Beh2St4fzDIFqHiNtIdnCbj3cR53zn/ZoGd/J5W06e1HsF55fuIv+3 +zvV5OiWyV95adzD5u2Xe3424O2enzlh2cLp7ud2V8XiigeP5Xq/3OOPxePwY +9Fvj/fqNHM/XkD2Jui9I7iR/FNiZeh9vr3Kdyd+UfNA68h9Wcn5kBDmYDzA/ +mvP6PnvKhBkcN07x+/h4spfN3p9vdOObrqS4ZZePc0b7uCegI+IGzf2C4iTE +VYizvrlpMMVhr9B9yDePc5vIXjW7z4kvMdeB+JTnPqK4YYsbSuNWcn7pzs3Z +/dLPRh3BdncO8ancy+NKN3Lxe1+eV13v44k65scM8jOFH6ce+/G/zrk/w8fR +9W7UpWet+jDU5MZ3GDhod/pM9y7lB5rciacN2zMqf67bO9bt3Nvj/Z540ZhJ +kXNXuFO7hwbOHlnjnn96xIV9b9zg8wnVroLyCfk+Tq9wU3fO+bH0iLh9oPvL +XUbPnl1OnbONnzvF93N+Vf/GJWeudsvouTrX2Y/7np9HOeUdmt1BB7z+9S1n +vOlOp+ca3H7NDcPen7mU/fSvTu0+I7JrietLeYuIGzG3Y3jKCxIHBP5GmQvt +P3XMticzPZ11Pv+W6Yp+3vNkIu5YTPOodtNp/uLHHU9+U55LJzoK3Wk0j0r/ +fKFLydz7oZfi8VzGZY8e2GpZgzvnzfdHLHh3save9Hg8vm5wl49594f7L17k +8x7Ig5S69p0TeY6Ie6H9ygVr55a6xZRHWesaKS6vdavH33HsH2fH9XGv6xd+ +GKr18XxcD1E8n+fj91p+Dv1inIxfVlz66x2L3SdbE883cByKuBT9oN+Ml8vj +z1W6LuceEO+n0OV+VPX74I15no5q121o4r4699yPF21+6IC17rOBN8f7KXPP +7EqP9xtxm2dtf+n1cXH7NO+MYW1nNLiz6f5Gt3/jY59vjscrq6j/mDuS+s91 +t3wUHvFsQ8T1/mniDX1Xl/jnIm53zdMnzLqr1I+/xY8fdf1v+WHXZx3WuZ8f +uOGhntfVuqq85n9eHbezA+m5Wvevtx8p/7Z/1A07vVf6gT8WuXbE30r3MvG3 +0B08bUXWox9scvuQXMfckNVnT3w+bscC/la7a33ea5fPg+G84tc2V92X+sU6 +d+s1/6Bx2l69k8at8Hm093xeDecXgTxVuNYnjSI6bqPnIm6Bz8s96vN0k30e +MshnNLozN48gPgXr0eifi7lW1E+uu4viqJjby/tBe05M/F7kbqf7oj7OK/J6 +IurOfPqpRVlx/23IOx+NOCpL7N3ayo5DZ34k9d9XFSysSPQL+3YpxZExt5Dm +JfVhgRxVuv/u6RbnW6GPUyvZf9zv3xOfO+z4Atd1+pZp2+P+7+Q+oTjfwz6f +V+3j3nz2ozFv0DHUx4mIP0A3+HCwj2MRbwR2WN5XC+y4vF/1KPmBzZwfDPxO +oefm8vr7Luw329u3JjfL34fnTqP7G91Hfp1gJ/r4596uWBQfv9697/N4e5Ef +WesiPu8X+PkVbruXiyXkt5ZzPrg/xRGof69w2f9598b0s1EHUOtG5z/W5owD +VnG+d8S4D5/rmrOA86Ap5Lc1uWNrLoybpi/cIeTnNLgb+567X997MrxfV+1a +lb0cty/53h+Mrwv5g5tdNvl3FW4x+XdbOe+HPCDuw3OtfT/o97vTap847aiN +3v+rcU/4PCTyklk+T4m8ZVrbi58cuLrZvfFWzbMf7v+ae57yio3u3O++jPsF +C3y/FX6cEnfa3jPjfkSOu5XGr/V+Ta27zsfL95L/JfFyxudTpo6I6zvkRW5+ +o0vhPSsbXIXP+wT+QoTzSBeS3yHn6TeR3xPz8U3Y+8HyPjXOpx8Zt/nTD1+X +OoflftwQ5RPke2I4n/6R/Fipm8C8P72/6d1+N8v3v4L7s7wfLH83ub2nG3Hs +5+QHFXq5yPd+UzXXAdxO/oLUR5xL7VIfEfCxgc9tXqV4QOobArql3u0Xmr/k +P27xfKqnda13sUefff/RL0Lezy53h/lrmf+9yd8X+EExN5D8pVx/LfJ+VNTL +Q5XrS3nnAjfvmep9L15Q4HLvffiAu7ZUuY0UJ1S6TMqjFLoaiiPyXW+KK+J+ +yKWX7nxuWtTdNXbKbZNOLXbOx13It2McjIt5YF7wo/eu7typ78KRfn1rXZ7f +lzgf+PHEmW1eXV/i+Z/jvrlq77fvvkXOp8/wegP7It3vk0V+n2X5fXeS37fY +x2fX/nd35ejxPo/fzP5ooOea3S2Zj03uH1+X7gtiBR0uRV1kzO3/0PhDL47b +6Z7PTovb8y3uHLK7UrcS+M+V7qe1a2e0ebzOtZ1y3cSVT6xxvbt0nXbwrDp3 +ann5i5Eeme5fn46IFoxMPp9+Y0iP9/cetMb7q3XuqLM7UNz4CNmBbW422YVy +Hydu8/SVe39dzq+RB1hN+6TcfUz+bpn3syOu9J833X3FjmX+fKHBdXiyyzNP +jF7u+dPgKn84JSOR54Dfl77iqtMPPDDDVdffNXTFmQ1uTo8tFAf3Inlo8HTL +eXoQH8h5+bS7Wz/dNSfdPUR8kr8Hf5HXCw95PVHj9UaJ1yPBPm9wOykeaHS7 +s3/rHvn3QjeS/KBGt+TWfnE6vvX8anS9bj8+Tkea60b7UM7bDyT/JOZeIv8k +18txzMt1ns9PSr3I/D/2H1h9VIW7sPecB248s9QddMr5bXqsiLijznxn39tO +KHVPPHTB6JuaI65q4XvfT/pfqft45P/mjW0n5/l3kb9T5KaTvxP1+6jIn4dE +XZjiPalHGb3v+b9OSl/njr6+049Nz9e6g7uMu39iXF8FflWtK5haH5frdZ7f +te6Z/uGFl41e5+1rrXue1rHGjaTzwo1+HWvcAZR32OSmkZ6pYX8G9QTNvxxa +nsjrBOcqNT6uyvXnWMXeP4q6SWSfir19ivq8RnK9wUDSV1H3LMVtxT6Oi3p/ +s9L7m4VeP1T6eK7Q60lbb1Pp9Xehm3bOm03u3rCbvejynDnTqt2it557cH5m +2J0fW9y2fEO1+3TIinvv34X3vOT97/Snt/zctrradX1wzM2z4vt07NIXH3sk +vm9XpPRae0087pvdtfXgJfE4EPUq5x1x/aQx8XWrPq5zp1B8Hz/s9/U88r/z +3CiSO4kjEVcG8prn7UPMHUXyn8d1KgEf6927D/WM+/Or/PlCvTvyitn7JPyO +IE7Y7uMGqXOdSetW7vYiPzjD+3FSbxHoq3pXkvr5k5VH3nJp4Nc1uy8GlMwd +ePP7ftxm17dzq/ZHjp/h7TvqexvdU52G31R50SIXK679KjFv1OUE8hHz9hTf +u4i4bgP3PHzTrFKflyryelvqfAJ7BX2Y7fdVrctacc2dWaeP9PNvdk/enbun +9bjxnI+FnznqKjc2kefe4/3Sj4j+Svdvmne9O4f8lFU+L1fPeci9yI/Z7v2a +creL5r2d86aT6Zx2pdf39W7GJ8f1Ois3w81584TaPn/UuxTSq3Wu4vch8ThQ +/h7Pwn9cmHplfLxJ5F9vc4eTfy151lcoX17u5k/MPPnH+1a4QV23XbohUu+G +rhl1W/kBGa6o4+Idu3Lq2W+/ev77J91+i9Q99/DnVohva+YPG95pVaV768W+ +vb76ptnNmf972b//mOj52ei++9fO164pXODlrcQNmnBS2Q9xv/d/K2YddNfh +m93Hj1Vf/eU/q9ytA5rv/GVcs9trzpKOJ34/jvMEi33eIIjbN/v6gyr3D5fy +WOzgLe6T0HHbjuhT6dZSXNvopn/dtdM3cT+4of/iY1+ql/cVvuwTeebw+fK+ +wrOHz4//In/X6faJod2n3y7vJ+jnQ07fH+L+S7ydRzuwfj5sng9zO86XgPV7 +dNXugC2zHu11wBaON4FRvwAMvx8Y/gow+sc+BYbfAmz/3kHwvPwdIGD0A8z1 +ER6jH2BNT8zQEzP0xAw9MUNPjOf7W/G+qz8Nf838vXnMafOq3viG2/sQXsnt +O+n3ldw+8ZC+u55OXcftPStL7z+yg6wfrmi/In1s0YCjwi5zyaazj7+w0V2T +EKs+ee62bZ1WXjmmmTGe6zD12is2jpb1PZ/6L2H8767DX78rRdajN/Uv67Fp +e/ZDo+6pdO/1uLp73vaIO4MEtTLpSo89Xs243+wTYr3TaxhTN/vUM36saUG7 +8f0aGe932B/Tv3i3mXFvYnSd60PzTWc8/NU91w/MEYz9sCHOjXdebvDrs9as +51rmH+LrhFDOerQs6fpAfJaH/SGY35+Ic3FE64jnr/z9cGDwC+9pfPxB4t8S +VzvzoLr4f4x7zHnhkjkvCMY82w/5/ogh369x6+mffF8AGP1iP4EOyONxL9XH +ZyB/bxX99yq4/JiCy6fzePvROLPdzYnp9s9yF8Wl79Zt7zO9X5OAzGT8JPHt +E/chPR9xhXcmnn+H+f8gyffHjNNpnWfxfO6n9ZvH+AZav3k8H3s9gub7Hc9v +ZkKMxi7m+dSRgC5lvJ7WfRnPr89zawY9t2YR99fZ8xX4Zmpfy/13Pun9muZ7 +13B/y88ZF59hJuP5cxMMWcv9D7uxzVM3tlnj7r75wawlm5pYvtD/PYnhjtjE ++PrE7U/l8nj3LFwWH2Ej9982rj3eemIT49/ju6DH1bk8XlrFmcsrztzoZhEf +anh/o//CBLuOKWD8OM1vM4+3mcQln/s/Pb5ah/QV+T8+0W1RAY835pKEgOZz +f79O+OrnCV8VMX6XrsXc/y8New29+cEi7q8vyZPgK+NaI/uhYu6/kfbDVsYX +0H7Yyv0fS+tfxngp0b+NxzsmvtrTfit1R9N9VX5/lLpldF814/k/JyYeYxys +Qw3jy4httYzLE48vr2McJr42MA742sj4P/cl/jUx3i/R/Y3NjFmuafuXM25O +iMeQCNPz8Yopm3dmlrut8V0y9doo65Nhca28YkqV6JuvE4IYY/xW/Km2p9Yx +PvHXnoO7Dm9gnJbofnETY4x/Hv2LMv4frXeU53Me7deou2TYP9pf/FMx62Pc +n9g9g54T/XYY7a8qfn5N21PjM5F2un1NjPHsxHJfUsP3z45L/0d3CP6I+FHj +ir3c1pNerXXDyV5sZvyHlzvgKWSfihmf4OUEeBHZp22MZ3m+Azfem9iYEcYX +eD4AjyG9JXitpxP4kISaPLya8WCyqzEZz9MJbK8X/JRwJOoYx43NN3PPb5Dx +uiQUleDArjcxvv2yxII1Mx7k9RDsR67XE8C7/L4G7uT3HfAML7fA3b3cAIe8 +HAAP8OsMXO3tHvBIEpwGxu0SrTObGMP/HUF6YwPj+8geb3Dzvf/8JvlLFYy3 +kb2Jsn2ZS/ZoEuPJPm9+X2J7XQF9vcjtR3q3mTGpj+UVvH8fS7C/cj3zE/l1 +3A95hv8O+YX9hf5DO/Qd2rX/kmrmm2r6DzndX8j4pzIf+P+4H1jfv9b4s2vN +eGEzXpjb4ZejHRjt8NPRDgz6gXE//Cj471Z/4nf+TofXZ/ydUo/5+4ke8/dV +PIafBcx/B8dj8MPqS4wDjHGAMQ7WX3/XLYflB1j7d2HG4CMw+AQMPgFrfsnf +FQLGPIExL2DwAxj8AAY/gLF+t9E+38IYdUGBvazk9QM/7iC9FGOMuqNraJ/m +MX+QF8PzOP9DO/Kf8H/wXiLsE/QF8sPAZ5G/s5rx0eTvCL6M/JNsxjeS/5LF +GOvWmDA/s2t5/PqE+ckSrOUtj+N95Jehr34nu1XOuC/FSYLf9nEW8JXEJ8G8 +7glzclkp0/8M6SvBkB9gPL8XxVlRt5Pi1iJu35Ywd1PXMb8H+PVaTXYubp8S +08oW/t9Jfuw2fh55b7SDbrRrfbPIrU2o7cMkfr3c04n7B3i/GfLXm8xXHuN0 +8tNFH7+WcJc2Cybz9nOF8c9Evh72fjjo3TtBZtdNjJ9PuAtN9Ty/0YnpHSL0 +/eLXEfO9wa8j8Itk79bzfN+NRxkLl4m+JvfxPplfEa2n2ButryRvYvkN/c11 +5V5/wb7gXAD6WH8nLlPst1/vIB8s9cuYD/Sd/jtZsj6o+wJ9ab5ODPThvUr0 +d5MfD/YZ+qHtDQNzupw0h/F88mPns77B/cBL6DqX8R/5CUX0JfcP+tFfRwpQ +ljPeTfsgg5/H/cDDyY9aIfqO5DKD+wcf0Z+99iI/OlviOX8/+wOvJQQ1i/Ek +umZzvgL3Aw8kfbrW+CNreT5YF4wfyKXgK7ze1f6IxJuzyW0T3EjxiuSfcD9/ +D9PLJ8bn+gWPn/B+O/D9WYnEVSH3n01+5GbGh1A8sZnH+6/PA6N/2Bv09573 ++4FfI/9wK98PeUd7uo8DgL+6NZE42276l/is2ccFwLUkv5Lvwf3AU39LKIYI +2zOO53z+RueP/hLPKfsWMfr0L3+nz2PMF+Ngfv/zcQrwsxRHVJr8bpTf34Q+ +wf2H+TgGuD3FGdX8POpjgKNvJBgu3wllfe31z8n+vAH4kdQEw1ezPjrZnzcA +n5hIxywsN/5hvYkfGxjr75KLP0/h8v2Cy4ltop8wn1Kaf4jxVkpUrmb5e4Lm +W8D4mMcTAr2Z3wuBfvsHhQ+Cg/yDYND3x/UJ/Sb0ktkZXs78XEEGv4pxLxLY +an4PBvrzWr+vgfeQPcpN0tdBfF9v4vF6b89qjH2JMZ6RWPYREv9j39l8wL9J +H37N8rKF+P4K0/dxIp3V/Rve39MpznyD+b2H5vsNP7+B8toL+fkPyW6u5OdP +If2wkO/vlgizV6zi+ytondfx/aXkl8p6nktxtpyndCT5lnoC6NMhlN8T/OK0 +xMaWfPL+4xMZbmnPiHuLE0MSX2F+o3wcifm9+3Kio7DQQ/zYwPN5lvavnOfc +RXmETdxfhOJdyectTbDrHdGnPShOz+f79yV/bwvfT8cEp5XweiOfPCAnkWAQ +PJ0cdznvmUN54RrG0FfA32cmHEW5v5oUp7R3S7hrA+W86BJKkEi79me2uBcC +QWY8kvgh7SsT4ftHct60nhIm0g76A3ktZf2L/fgE5fMEB/k8yR+CP8D7kv8o ++CdyMCWfCH4Av0frIfnFV8kflXbQC3wG6Y96xl1ILiTfqPVrqUunhIXgr0nf +NCfFX59R3kn0y00JsT5bMIntbnmfn+NpkivBeyjhLecdCxPh0AmCJyXc12F/ +ic9Jj/8lPk+423v+Ep/T9S/xecINe+sv8TmlHyU+Bz0X0/6V86lK0t+CX6GD +J7F/JNbNor9wXjKD8n9FjLv7czHgnWT35X74EcAv0j6V+0MUJ0n7AH+uBtyR +7Oo2xvAb+H6/LsA/+HUBvtSfywFP934GMPwu6P8yryeAH/Z+FzD4Adza6wng +id6PAgb9wKf4fQW8wPtRun/Jp872cqjznpGk+B+4h19nnQ+tNPOR/Gu2X2fg +g73fwvbR72fg23xegu2lzzvbfIPOD0u+NsiT1zPGftb5YmkP8uKNSflEnT8W +fCvJj+Rz8T0N+Fdd/TkZ8Pwggcm4lvz2lYznkl8vz1Pz95LvKUwcJ/wq/hLe +h4Q+nUH2QHCI9K9geryn4MAfy2f57EnrGWZ8LvFP2gM/tcDsL2lHXIb5wp69 +QHZ5AeMJlAeQfGkBTSzHkbqKSbyE9jcTaZ6Jku9MpRu3uK2kj8R/P4n8NNFn +wfGI+PMLKU4V/baH/Lwa0Xd0fiz6jsL9YeLvF9P5j+i/wA8W//9hOg8SfZhG ++lTigVaU/mlmfBfFrc3Mr4Hk9wnW8WihyR+K/dB/Pyss+4UYJv5jkM+R/FcN +5ZO2Sj6EGCL5qIMpDpf4MZTYfm23JfmX0ymeH83zQX4c63UIxbOPmfxAKvuX +HWcnHJdB5vmQuT/E7cj36XxAjnk+bJ4Pczv4CYw8nM5/bjf52VKTny01+dlS +k58tNflZWS/kB4FtPY3WtyVGP4r+Rj/A6AcY8wfG/G3+iu2Pn7/WZzsY63ql +FMYZFA/MNvVLKYwPIf9/lqmHSmf8OJmNZaY+Kp1xF5K3ZaYeKpNxYBfXMkb+ +A5jU4B257rzEcWODyPNgyh9L/k7H71KfA7sNvI7sWIHJLxQzbvJ+ia43KWN8 +qPczDqTAUvKFc8jh2m7yw1HGsKfAsJfAsIc2/wgM+oBBF/QN6ADGvHV7xJx/ +RM39ct6o/fMG4383GP9a8hHBPNMYX0t+gOQDYGeBh5EdXsH4GvLDJF9wLflt +8vcXOf47KpEokPzs2YljhlHSPjdxLLGrPske4buswMfReYVg+OnAS7yfDkzH +EnE/Hfgb76cjzwL7cLLPswD/6fMS3O7zEvY8DN+70Of/ghFHA7enc17B51B8 +KvmI28hOyXfKsF4bgkQF45703CrGz1JeQzC+PwL/JajbEYzz1WCcbxnfSfmd +b/m8J2jPZXw88Uneo8b+Dc6DBOP7I9DHQT5IMOwFvicInEL5rFI+n8F74MCF +5E5FzfmQvAeO/TaQ9L3gjeRgCA70ppzvXOXz0sDvUL5HsLZfch7U7P1g4EG0 +P2rN+bHo70doHZ5mnEV+0gymB/fjvKyB6rsmMA7W8T3GD1I9wJeM+9F53Rxz +Xi32oemzxPP3Mz6MHLuZvL64H7iA8hxvyXkgPfc246VUb/YF499pvp+besQU +N8vzA/YG/FlP+ahvGe/2fjr4cwapG6kfvpLWaQnzC/2Bfrp9ykLGQX5xMWMS +n1kZjJcQ/5eb+gCxh3kUNy5gPJXiwKXmPDSdcSadw6Ux/pTWaxHjn6meLYNx +B6q7WMH8gb0FP7r5fQ7cm+rD1jE/grh2FeMgrs1k/qA/0Ps/OsdbxXgtKcw1 +Im+kMLMZU1p1bJapb8jk+cL+Y34j/Tkf8JX+nBLzO40IX894IcXJm3i+6A/j +ryM/egNjYv+tGxlTWDtCzpeDsCqX54v++O/NeP3UIeHG9BD/owP1Kxj0wW6D +nqAuTuo/HqA8mdQTX+TjOuDnfRwH+tAf5kthXZd8xoF5FUxheNtCxuQO3bvZ +nBcU8HzhV2B++1Cebgvj1ynvtpXnF9RJST16is8DYb7oD+Pba3+vZ4GjPs4B +9oEhz1d/N7KJ4+MjqIBL8pcHUmJL2gcGiSvGFNbulHbQDz8K9J5Odkfqa4K8 +oNR3j/V5K+BMn7fS9qeM6cnzdQbAT/k6A+A23s8EvsfXBej1Ef/hU7J3cr5D +7sFBFXw//D60X0T7v4IxeQWDKvn9Kdi313xdGHDE14UBB3WjUq8enEuKvxuc +A4q/G+TNBQf1CbWMg3NHwfm0LFLfHlzFP/4P6Snxj4NzSMF6PaV+ch35DxIP +UxpnZjXfDz8Y7beTPyU4KMOrYb4in1Lt86bAL/m8KfBGX/cP3C1h9qZJu65H +j7mR5EfJ/UfSOZm037VPgqHy/sVKf84FrM8jkq9zE8dIeYJ3Un60hjEd15wt +WJ9PxByliW6W9z160gJI+4tEv7z/Qe7509KuzydijtyAaXL/BuKXtHck+uX9 +kaeJP9Ku9UHMZRA/5P67iV/SPo/ob2bcjq6Cq72ehj98gNeDwGd7vcD5QL8P +2b/2+4z9by93wEO8XAETHCL1ZC/4c0ZgHS+3agX9gPyMrido1Ur7Y/K+FPIz +uj3E7cjP6PvDpr4vz91Gz8v7MV8qf0HsDfIiwLY+Ue930S/Ij+j9Lu/DIF8C +/BM5HvJ+DPInwK+SPpN4G/kU4C6kz0S/gF7gr0mfyfs0I/17AVifod6OA08j +fSHx+cvebgJn+Dp84M+9XQHe6evagWNerwO/6OvMgUd5PQ7c0deRA7fzeg54 +jq8bB57u9RrwJf69GuBuPs4EtteVFF9K/lvnh/IZR0gPyPtzr5GekPbNtO+l +PuBM0gvyHRHY63Zk3wUH55+CO5I/IPnz4PxU2oP3FyQ/q/NDUi/wtNfD+nxP +cGevl3W9ivydGeiT9v69MX1+JXiDz1MBB3WC8nwQp0q9Ar5HgXzH04kwbrrk +R76niUt7RzIQgqdSHYFg/jsfPj9hr8H7E4In0fsSFSZ/n1wvdyr5s5I/PpH4 +kMZ5D+iPQ8iflnxfEFdIO/y/woSVXyD10FR20beU8zzYnx3Jz5V61u7kF0u+ +XL8/IvF28D5Grbs8cbzwjeQ79qY4S/AYcjckXxHUrwr+jva31OtR2v0YwUF9 +qeQT3iQ/XuqbUS/I9sK/ZwX8Ee3fLMbn+riO9QfpC8G6Hn4y50vw/R2dn5D3 +34L9O4+/3wb6uL7O+434fputf0LcBHuDukVtLypMvkjqicGHL1X8U84Ycgt9 +gboe4A9oP+aZfHch4wrSR/I9WK1fBIMvwEMofhB90p3qMaRdv58bZdyf/CrR +H/ieLPBQ79cBjyD9I9+X1fpEMNYReIiPy4AHUmAoWOeXJpt8z2STf5ls4vc0 +Ez9K/RnWV+dDpL4G89T1ZWsdbeNdgqmMfJRgrNdy8uuknvGf5HdK/By8X1vN +/UMfAWM/QH5tfSX8cPR/A61XLuNfSP/LeUVX78cDB36lxFv2/RX7vgow9tuz +FGdN4f13LBUmfszznUX7vojxJ2S3i3j+g/x7Urp+UfbzfqSPUxj/m/gn79M0 +kD6U9wsvJLtfYuof5f2yoE5A9nc+6eccxm0pfy75maUUp8n7RiTeV8r7Rh2n +J/Jdfcz7I3mMoV8wv1vJcRb9FdQRxHj8CXQeLf7ucsrvy/sMUarfkvnOp/z+ +Wp4fLffp8j4BLfdvgh8gv1ToeZTi4AjTs570i7yPVEfy+S3P/3lytCR/fSvp ++RLOBwf5lVrzPYNcHg9xKOdPKV8p+fbT6dwh17z/IH+fBvsreN9bMP89Gth3 +/x43n7dT3Z204++VYH91ofgoub7gOv/e90y/P57177GB/rGES/n7H1h/fP8D +9hPfZ4G+Dd4/TT4fuO3nzvltHiplfj5/8JN91i+tZX6Mm//wq1f9HJX34zsN +OnZdH3lfed0Bo5d80lHqkee1uW1wdXG1m+Hn//01Ww54amqDW/b6uEd+uT75 +fGTv/bPGT3lpIa9Hz1N2djqvKtd90TazafE6mS/0y6ILbzr/qM8K3el3Vw9q +0/cv+j7UrWLj4XKeMPzNR0e2f0TWq/ifn/3wfJ6sz4jFV80ddLLwP6XmhtV3 +fSH8OuXEBa/s/4bwt3bgwd++e5D4I/8HDXbJ3w== + "], {{{ + EdgeForm[], + GrayLevel[0.], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJwtUj1PQlEM7fODe9+F52qiMrj6AZsCi/4G/4AfOzrpimAcFdSVBDVxMjHR +iM7MTi4IiUSjCeiMJriopzl3aNrXnp6e9r7pja2VzSERWYINwxqByB0sCVuN +i9zDnzuRrhX5NCItYP4ccRfw1UjkFnETvuYYa64pjMfgd9CbDkUs+uuBxyP/ +FPH7FH19zHqEkB/EJeBysLeAOdUwBXwGtWXENT+zNUT+E3BXYFVD7cZQ/wR8 +Cr4NzAPiHjBtfO+NEKv8aUeeLjiLCZF91EoJzjeebxAjl/Kon/e8Wp/0s5Sv +5DlVY93vmMXuRyF5x+Pk+3XcWTHPEe+o91xHfTdBfQX4A/S+o3c24A0a/l10 +Rs5ruwHmNeTsBcTHIfsvHXftg7+C/EtI3Wv+TfVtyxG5rhz3sH6XFLDblvt9 +x7i33l/jgf/uoN4z3FFnLlrO/TCsaf4Qvgyb87zarzwFv2MF8zsRdareM8ed +9E56s4zl3fS99aZZR62qOQTmK2Jd3+0a2Dx6iob7Jf0/M4Nc3lK33nLU8p7W +76a4f48jbgc= + "]], + PolygonBox[CompressedData[" +1:eJwtkT8vg2EUxY8Gz/O+9RrYGMTqT228NTXhE/gEWAUTMxWjtIlVInwD4s9s +NlmqTSrE0DKXMOF3cw0nPfec+7z33tPJ9e2VrYKkCdAPvoJUj9Isv2OgkUlX +fdI1eIS3M+cVkKdSjd4jME09Q385da8FnujNE2kXP+KNg3P8W7wHhvaKzMK/ +xK/inYDqkHTIIjna6LD0jtaGQ9UELer74N+3OQt4x4m/PeDdEvwCbZ+6hL8B +n0L7HpQ+wQt8GSwGn2m8BEJwbS7xN9ZrO/cyn2U7fcATdn6lvgFn3NJBaxY8 +o1Pqn9S9O/ALXys6t5tX4ZvRM7ZsbacB6k702yzDLvPL0efZ3G7wm+3WBj07 +0TO1LMN/Nm/BPcuonnkOtmMNPoI4H13bI9vnxDOybOw//gOvF0eS + "]]}]}, { + EdgeForm[], + GrayLevel[0.12975041647800445`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFVUtsTVEUPa73ue/ed8UAE9oSJkQw8ZuQdGBQCa2RaqLVqt8AE6p+k1Yl +KiFpmzASEiRGfmkHGBaJF4lB1af6BhIRdOCTmPitZS0xODmfu8/ea6+99rkL +2g9s2R+FEG5jTMfowuYwxjjWN5IQXkwLoScLoQnzB4zFOL9TDGEljN9gvTMf +Qq3Pp3CvNxfChUjnnRjVoHvc02YM3yq4+yro3k7bHCuFsDCW33r478S4CNvm +gjCsx7he1rwauK7AtrGkmDOw3oz1FtzpTUPYDh89mIcj4WbcZanW0+DjWyb/ +XzH/ToTpF+bHkdbE9hg+H8DnNdjNiRVvytjXG/9u+NqDfPdgXl4UbvI2Absf +kfzNw1lSVK6lovZcr0r+5/TDcWnPnD9FqsNMYH4NfzWwvZzIb8n51cDPW3xr +S4VnB+a1OFuGMRZ0ts44OxCjAzh3Ya4Fnwdhsxv7Z8jvOfK6if2TSPargKmC +/X18u1oUp8z7CMbxTLW8BSz9qFsNfJ3Ja8/z08AwlBcX5GHEOREDfT/xmpwS +A7G8RPxxxLqLfV9OuZODh4j1ET5vJ7KrKyjfSdh/gO0E1u05YfyrQ+fIXBmb +Gp6L+Rz8dAPT+Uyc3XRc1o0+ycOgcyFvaxJxOAH7BpxtLEg3xML9Euv2UCRd +NRbFDfcDefHButZbv8RS45jEfyxTX3Rnqif5mQzyccFrfmdfkNN91hi11o3c +j8TSU4910If5Y1G8kJMZqfrpaCb9k3Ni5szaLnFdKtH/7xXXpdvYTmTC3mX8 +h1x/YiNPg87zErhag9jvMuUxYhvysBR244g3WFT+xLoCde6K1QetOeGlvlnD +O67jlHlgPHJPzsn9m0y6WouYn+HjfSx8rF/JPfVPE/Q5L9HMHmqBj7ac3hHO +rbahPdfUyYZEdeY7cSpVreYn8tdh+9FMmB5h/l5Qv1Ez5II54zhsQo5PY72D +ddbZW8fZVlAsvmnb/K71m0ve5VmLz78Cwyg4uwIMdYlqytpuTfVGNqfKhfb0 +zf4adf/S59m8sK30nv47y+K4NlF9BqxV5sc8+Y21Zc3nuu6sJ3VOf/RDf3dd +L9aNfTZhe+qSd1gL1oVz1Xobdr+Qm9GS+GHejMe7vZny2VFWzBHb8/uQMf2C +zQBi/Mx0Nugc2a9DXv/tlZziVqzvYWt8xDpnXWrd+x3mk7xSa8PuF+q83z7J +F7lpT/Vulfx+ViP18KRresa5kKvvfk+oIdZ/L/Kahdy/xHrjxjL1x/yy6sA1 +azRubT3HfDSVFvgf5jvT5LeGHJGr9rJ6pWoM5L/RNVgU65/K3Jr8jvMu4882 +Br6LVfdbA2wvxrI9gfW9WFzfx3yypD4mNw1+D1usYWqPb8BZa4MckAvqit+b +rfk/OW0exw== + "]], + PolygonBox[CompressedData[" +1:eJwtlE1I1GEQxmc3df+fe+iTQPugjpFdNL0kFHQoKPXWpbY1wzxUpyzTPje7 +BAUVKARWYJcggrpldNI6eKhDu32seAgqtA5hYEFZv+Hx8LAz7zzvM/POzH83 +Fk90Hs+a2S5QAyqhWRk8yZk9Ba3YZwKzCLseXEjMShAnOF+eN/tK7As4hUgf +uB8RW2a2AxyKzW6k3K81GyZ2nrtV/K2uC+7CvcjZCLFu/J/EXqP7Cr0H+Ovq +zA6g0YTWJs7yeWm6dhsoYBfBtInThd3O/X2havyO7l80b6J1kHgpVg1ei8f9 +LaPEb9eqphbquYN/Db8FfxR/mLx70OvAbwenA5257T35Bd4Qf8xvA3jEnZms +3nwdrd/4zRn1ZJ78z+EWwMmc3vg5Va4mOI1w18D5w/0quIdfJr5Qp5q8tmfk +Hgj1Hn9XGIvrOT33Szh74c+hN4m9Cv6PQLP5BhbhvM0qh+eaT9X7neAhsb5A +M/dZh2AoVq5P9PgK9qDzqWUW/QHsfjBjOjuL3YpGY0499d6WA83UZ+k9+gCm +wBgoMoP9xFYHmlUnZxlm0pHRGya4fzjWrKfAWKRdm4NXNe3cWnZiMFQvFuEf +S1RrD9q92Fdj1eqau7lf5KxA7COc+kiz2BbqrT6T2aUavTbPMeJ7F6g23wH/ +NjYH2jf/Rrwmr817+g97A/oVcm2h/hep4HYbZ82RZjfO/VtLO5nFXxloNkPk +3B6J+w70U/uKvDgeu5QIbvs3499OT6K3+gzWc/cofleNvolu7HOhdtR303M2 +RHq7c44kmrnP3mc2Ta2XU+X2HpVSfaP+rfoOVvDH0Xsf6L/BZ/gfOvWU5A== + + "]]}]}, { + EdgeForm[], + GrayLevel[0.22029661591959937`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFVktsVVUUPbz3et97992LM0lAQCUaRhonD6P2WWPSduAHpYrFARSoShVM +ZMQrxJT2USRxAErbRJuCAiZN/CQmCiNise2IREtsw8BAC9gSPwM+Cfhfq2s1 +DE7Oufvss79r733v2/z2izsyIYS/sbJYy+pC+CIXwvSiELbjYhLENaDvBf0m +aK9ifVcI4f1iCGdxdwvnCOsk6C3gr0YhrMNewfdPWAnejoJ2A+cNWLVSCJvw +bh/26/i+jPsyVmMcQhvovaA349FFyEhwPp/Rmbz1+RCasEZwPoL9AFZfnWzd +BR2rIecm5AyDv4y3faB9hbsZ0Ecgu4z15SK9X4u1Eus2eDrg7/qMaNzL9ncW +61GcHy7IZ/r7CPyu4lyC7h9gZyve3I39MOj1oL8HWWdxd6EgvU9CfsW20caq +z7SPdjbh7Z+R5NGeuaBvxuUAZL6LdTgvuTuxnwHPVbzrzYiHNk5lZWcz7iax +luK8BHL3g2c2lh01xjEoHvsyojFPtInvfk9Fvwz+x2H7h9DbC51TuJ+MlMMJ +3N/OKI9LoPdITvo+SyV/Bm+HiJ1Iuec7vn8Bd2M+j3rxjrii7Q/lZD/z8Dzk +vpwRRpgb5mMeh5ZzArp6sE9D17WMzvTrJeydkTA4CvuPF4URxoe5TLPC6Jvg +mQ6SR7m04Rzu3gJPl3E27NgOgNZfpxwfTBX7ncjbSE54Zi0chY6h/B0+4pE5 +ZN20uXZ4R1lnjL2N2TtYo8/0l35v87kjEX0b9tmMfGKufkykewL7FceFMTlv +u5mXSl42UedW8G0F//JY+XysoJwSO7SRPlbhTwvtBM9zeNOekz7q3erzuqx4 +iCvWAPFIH76B/M/B8y32+lS941fs/2b1JrHvQ65T9oR1lvNXKlu6E+l8Lacc +7gb9dfDuSZXPqnPa5RjwLenkZR0xl9siYeBKLN9qqeQ1ZMVHGbvclz5NhNFj +ieLNODLmzFXqfPWkwkM39qM5+U6715uX/WH54hDGEdM89g8Q10MFxZ41VHN9 +tdunFuOUfYp2so/udW+hjSPuS9151f6cfaIM8h9LVbcfx6rpVveJxkj9hW87 +Ir1hPDZl7/QzylvpPkv/qJe4pU/nnIuPYsmnnp6ScvsPznvwdnckfyvWRfnM +L+PCmLAOJhZ6AuLRijgMUGes+L6BOP8H2oNYa7LqF+wbxAL78RrX5YlE9OPY ++yBnS1H9jvFrcM8cTdUvFoGnCHmtRc8DvLu/TrbQT/pLm8cj+cAaeRp8qzzD +mH/2J9rQZawTG19D5o6i8jAGXc/g7Tj7YqL+W2OvjuXvYuxN4D1Y0Fx6oCA/ +6Q9jdt02EC97HMNyrNidTnVPPsbtFr5PMVfY2xfqIZH9Y84Bc9Vl/LMHsZe8 +U5KN7J9T1jtmmcTbMs9Gzkn6NOfYrLVtvOOsZ/8/leh80j2DvaDFs3fY/WXW ++OtNNSfm5wjOLfB7cVEYHHN/pw3sDZwTk851k7HallPMuzwXxp0j1j375nbH +bNy+s4f0ub8Sh7R7tfFMLLNmmftRz5RPYMv6gub/xVix4Ny4FKs2Oa+mbCv1 +bimpDjeXhCPml/IGjR/mkLhZ5dqpuA4uer43+vuJgv4DiJVO9iDwV1Nhq9lz +mTEoG/Oc+Ss8918pyG7aTB037NdMJMywl7JXsmf2JKqNiv8H2MOoa7trhTXD +OOf8/1SHvT8Sxubnf6p/iJ9jLZ6XQuYFz9Q/UtnZ6Hwx/1c9E0nj3cIs7bDv +044LY8K+UPG/3yVjmxhv9DvyM7ZXPL9Yw5wrnI33xMLH5kR9nP38l1hxqve/ +H3N4zXOf9/s9z+Z7hXsp8XLAmP8tFT/9O4YYf1/QTGLNzPrfgHlssL/M+aCx +cdvzdYPjPGg8NLgfLvzX0f+F/6+Kc33as/Bez8lJ89TcTw6lyne//1OfSoWx +u2LRBpyziuc5c81Z1mm9KxwP4ufZWPXBf1LGcqPj+T/cV6Km + "]], + PolygonBox[CompressedData[" +1:eJwtlElI1VEUxq9v8P3f8H+2CKXJrKil0UYhUYwgDZoIIaWgHNK0MrBVVkT4 +1ApaaGRCgZpDIBQNVLq1rJWLjIpWTpiE1SKI0ij6fZwWH5xzz3TPud+5G6rO +HGwMOOeOgBDIjjlXi3BcSDj3FJSmOfcAfRR5JGHymrBzhb5zU55z5aAr3blZ +4uuw78fWgE8Dcge2KCiJ4A/a485VBp17Dx5R6w54SP5RMEe+amL2EV9DfA3y +N86+c8FWMIdvfcJyL1EvB70T+1X0F8R3IM9wlgpYzBf0ZmovUTcbxEEO8X+p +PUv8O+yP8c8lfg/6K/SLoI76p4k/hzyJ/xj2w+TfjVwFKtEvY69EzqUfP2g9 +7SJXZtS5Amq2h6ynRuRtUau9TI1P+LQT+xm0kX+a8yzs3dhugTD5PmJbAj/x +zQdl5O4j3z3qFWrW+J+NWN8lnA3jOw1K1Rs5b2K7hM+qJG+ZsLfUTDXbJGdT +2PPIWUGtP/gfDVqMYlVTtSfBMnIVPsVB44S4MYtPW8De7DZ6Im61decQ8glq +1IeMA+LCIPdoAtfI3wsOedazehVnKjybmWalGaSjZ6CfRB7h7Dk57oeMg+Li +MDXfBm0mzdQrB2NBu2M18hbif3kWm8/ZADE9xBeh30X2yT0RMa7WUyONsw9B +e0O9pTgpbooDF+g1GbUY+Tb855y4dwyf1rjNcrNntTRT9foEvSViPauXMs9i +1dNr37immuPIK8ixEDBOrSV3En0+YDNcj96Cz6mw9azeF8k3k2499XP3Zd9m +J779Rk4lTN5OzZVJ47C4XEuO875xVtxVzpT2wzebaqq2OKE+NFPNti1uvR6g +RgtyJvEVyFfwz0rYTmg3NpFjB7kyYibvpPcF9GKwMWw79AbfXvTusOXYi28B +elbY3viZ+Bkz7ilGsdrdkqj9Hdrh1QnbHXH+R8zupLuJwynk2Zj9FeLoV+KH +iB0APcT2gUXf/i79EdPaRd960U7OozdGbWe1q3rDTs9yKLYINMXtr1EP6uUl +9n7sXWGrIXncM67rTDur3dWfk0f+69qFqO3bBGeDmknIZqBZVGO74Vkt7bg4 +K+7KZwh5Xcz+RnFG3KnAf6tnufTH/gNUCMXR + "]], + PolygonBox[{{3591, 2503, 2108, 1161, 3206}}]}]}, { + EdgeForm[], + GrayLevel[0.3108428153611943], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJw1V1tsFVUUHW9779x7Zwaj8UkUiiQ8IvxI+6NgLAoKCqEFYhT1gwIFxVtD +QjDqj5YgsfyAikoL5SECLaWCb7nU0CYUfwCNfFOpgLS9GBPaGvTDtViLj8k5 +c2bvffZeZ+29z0xY3lBbSAVBMOO2ICjDeCYMgr5sEFzBfFd5EDyEJ8K8OhME +e9NBcBnzPXEQTMT6LIxb8PFOKFZhrMTaNcjMwFgD+YOYN8J4Ka31udA9jG9T +8NyP+Rrscw77/QnZr2FrKtarMQ5AdhDPk5A5kdJ7EeNdZVrnWn8+CF6C7rUk +CEawPpTW93dg8208cSg/uPeSQHpDtvl6WjY5fw9+R9CbhrEPNl+A3iBslvCt +CzKLMG7F+1uYb8P4EeRqsDacAz6YL8Z8FPNm6FZC9yJkLkC2Dw+WbuLHd2I4 +0XjeZ9s/2f4XsbDei7Efa3+kJfMZlGoxjsA+D2ldmfa+BMNvQOZ97NWB9fVl +kqM92m3A+7FE718meuf6VfvTb/vEkbhyvRPjkZT2acazI6WzPo6YujBvwdMJ +W0XoHqFtrM+H3QrwZgHO72hanFmSFnaMi+dKPb4X0sKdmNP3gufcn+vcdwvk +m2yL82NpcYu824OnCvJtaXGLvKrDuDyjbyuB1VjIzsQ4gmcC/JqeVxz061Ig +DpbMT2LCuIknuUK/qfNKKP9uciMl25WYbyKO5H9ee3Jv2iQG84wDz2JOIE7Q +5zr7xlip24DvizN+x3wYfp6C7nWMuxPZWYf5yVBc5vlQljrEiGdUm5Eu3zkn +bjXkEXMm0H70jz7z+2LL70vLJ2I4xRxgDh4Gt+YjX35MCy9i8Bp8qQiFC9+J +zX8ZneMGyI+D/DBsrsX3EYw78fyN9dn4vgK6CzBvhUw9vt8bKz/vwTjeuV5y +zhCnAawPxcrRf7D2cqg8op8DOfH0K+ZHSnuSm6PwsxtjOpKtFnN4Ql4YrIiU +69yX5zgKX65lpcuatBE+HMC4Fr4uxbg6Uf0i184mwo885Dvja3WMCzPCmnGS +o03mAG01Yj4p0Ej75A7rSqPnx8zpW3pbbL8QCmvygL4scU1YHwpzvq9KFBfj +2484ns9Jj9+WmrdrEuldz8lP5iQ5wZrDWsS8b0vkRzvPKC++kXez8EyG7vfA ++bFEvNiPeW8oGXLx0UT1bDfWo7z49Rf2GsT7edi+ivGc7XMf7l3MyO/ljpU6 +XDvh9Q7oL8iqplRgvgLzroz6AGsgeUrOVhtn5jLnrEs7I9W95kj2qMf8b3JN +oDzxI+fIkU8j1c/t5sag+8V47PlbVud8w7wiv+7A2ps5cZyYEtujiOtwolzp +SHRmFc6RUk7n/26kPL0b354ip8s0Zw6uCsUj8pW8ID+oU52od84DhifLxVv6 +9kSiejIG/hyB/Xo8G2Djw0j1a5tjZ9zE88Gs8nPYNY9cIw7DefkxNlYfIB7M +l+5QtYb1vc01llztM2943u1pfWO9bTbmrZF0T1ufT69r1rJQOcz8ZRysp8zB +1c61VxPVO2I3irEnlC32GdbPbtdQ1p715jjzqdE5228uk6NhXvWBdaJoG8T3 +qjlZisVR8q4pUszsN6z5myG7NVRd+TaWPXKfvZa9tCWSDfYK1qZcXmfFc64K +pX/ZPYVnN9d1lfebya69ne6nA+59RdeBo64h5EGXa1cpEXYXsc+/iXy7kYin +A77zUPaE5Q9h7cVQ51IeiWtxpPNaZvxZa8k57vPAGPgD33MYH8bYkFV+EK/j +lin4DsD4n82qN5DrvPuwz7W6j1Q59n2x7jWDkOtPtN4C/5/LKreZ16fNjVs8 +48gYaI93CNrcXC7O8ix49xwKxV+eKWXYW5kbxPnXWPlEbJlT5E/RMrRVNAfY +e9Z6Psv31cdj2St6X3KtJyXsGHen56wFH5RLpseYcL0uUf2vT1RLCsaKGNd7 +L+YHeczext5b697NvC24zrOGsZYxN/f67vd5rH24H/WrfR+ejfGbWLz6Lhb3 +d5n/rFtncvJ3mu+x0yPh2Oz7G+voVN85hxJx5ve8MHyk3HH5bn/J9xae8WXj +3+O8Yt9k/pHb7Am9xpw8POh19u19vmMQp4XuQUXHz9iZT8RmjusT+xRzgXe6 +Ntcf5hH3mmT/+90LtruG74h0/2YefxIJs27jtsf1ij70ukbRz59dt1m/6cN5 ++8H7/iH7v8119eNIZ9Hh8z3uGkX+8p+j3fVwo/9x6HOlawXjWuS4rvi+2m5/ +uLbQ8T4TC/+nY53bTRuB7NX4zsD5Ie9VdH4y5iuJ6s3tecXX7RgPGCfGMtX/ +WcRwUyw+h8j9JK/9eV/r9vlSd6bvz6dh+wfzjbwbB7m6rPr2L7HiY1/a7NpJ +nqx0XjA/2DsuuEafgu7ZrPYmZ9jb2CP+B5eX904= + "]], + PolygonBox[CompressedData[" +1:eJwtlElIVWEUx7+c3n3vvmsUZSU4ERQRbcJaFAVFoyGoFZENi3LAEl8YUlSb +Mk2qjQ1Ualo4RFRSFk1YUQupjVrQMkptIoedKdai35/T4nD/5zvjPd//fFn7 +YgUVcc65QiQBGQk5N4DkJTr3A/2c71w235nxzp0Hp0Sd+w1+jXM/eBT5CN6m +WPCsZOfiw87VcXYa/SQxC7D5xJwCH8WW4ZGDouXUeYrPQux38X8GHsM2ijRg +b0QOE5ND7DH6qQ+cu4N0gdcSE0ScqyGmBb+zxNeCfyFbnfU0DL5CfD56JTmu +gnPJ3UkPR6jdTZ5S8uXzHcanBPyQmLngRcQ/ArchzWBCXSu4KLDaiikGb+Rs +KfbZ5F+O03R62oA9m7M12Js4K0Cvwn4dnIr/JDhGz58iNkPNcjNnueg76G0l +kkl/FUgL/c7wbFalyApsZeg/k5gjejM4N2y2EuQG+Ujj5pPzJniCmj3kzprG +zMFRZJ2znjdhP0CP2/mXPM7K9G9R+3fdWZhEifi/ibOYBHDMsx5U+y89hJJt +9n2cp4E7A5urao7j30SOZfi2ctYW2Iw0K81gHNst3Sm23fgMoReTe3HYcldx +9hZ7Kr7P8XkH7guMi+JAP3gssNhqevxMfKVvsxRnxJ0p7PXY65BJ8DCyM2Sc +WwWu1v3Gmc+fwHpUr9nojeRr8I07usNr4AHOCrHdxqcD3+/oMXAFUhNYDdXS +Pw8Fdse6a/nUorf4xgVxtBn8JGrcn4f+GHwvsH/NYZ4pzHMwsF72IF/JdR/9 +FfYYOS4S/yFqXFtP/Hvx0zcua2bF4AeB3a1iusClzLbdM25pB457NnPNOopk +gLd41oNyaJfT0MfjbKcv+1ZbO3UJfDAwbolD5eBe/HvCxgntuHa5N2RviXZ6 +iW9vgd4UP2JvhPLqDnQXyRH7F3FuCpxO/IRnb4F6aI/arLSTHeAz1DxE7b2q +gf+FwN4KvQl6G3Qmm96sOeiD6LtCxjlxr///Dml3tFNTfDPp/yX4RZJxStzS +nY/gX+TZjDQb+ehOdDfKORrY7p7wbJba4dVR20W9KaGIcURcUc/fIvbWphPT +nWRv7n7PelBtnYlj4po4+wX/f36Uwdo= + "]], + PolygonBox[{{3593, 2479, 2124, 1468, 3503}}]}]}, { + EdgeForm[], + GrayLevel[0.40138901480278916`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNV1tsFVUUnXtn7rzOvQUkKkiiwZTEYPwB/QACWBODH0aSkmgpbYFKW9qi +QDQKUihvtAj9AMMjVlrwmUJLpYBATIRixRgeioLGRDHxwxYkpgT8ABLXytok +fkz2njP77LNfa+8zY6sXl76a9TzvuYzn+aDFgeddCT3vR7wPx0IZaAnWQwg1 +gp8HPgK/CPx88I2QeQnyY0C3FTyvgG8nUs/rwdrhnOeNwvq1vOddht6/Qb8t +SP4MaA6yDdAzF3pu4X0LZN6BTAf4hVgvh57l2H8d36s86evFMxP8F6BH8fwD +/khO37jewPOx91E8k0LJD2L9JOgQaCUeHzLHM3o/bes8Y1gkOe7dG0r/Nawv +os3gG0Hrs+LLs7LhmJ3bGur9Hr/V9g/6so/rNdhfCn4B6BzbT/vvy0tuAOu1 +oC2h4p4BPxX0QfOdekZjLcDe+oxiwjgfND+7QYcy8jeB3EzwE8HXQ++L+N5A +/Xhmga8DHYLMl+C/AT0FWpmV71GqOpiWVwyrM4rDh+D34bmTUb5J+Y36bmN9 +dlZ5vgo+Bv8mZAZD1ctc6FyB933O8yabLPfuwvvrWN8NOh8yq8B/DP4Dp/17 +nHL0dU6545m0gfaQ7jV+C2hXqPiMZw1DbkZGdTzjfzGkDGvyAvw/AP48aDto +R6i6YOy5PtJXTJlH5u5l2LYGa5/Bnhrw68Hvd4r52VAYYR7OhVqrg8wmyHQ7 +nbnFzh3A8xX0LgG9iqcf/FugZ3zVFuvy84Jkeogn6DkEvrMgv/4M5dtZO4s6 +m3zVA3HU7AtTxOlaX5glTrdajTBWjGW/xZNn85042+AL19XEka8zqJ9x/s5i +naSy4xnUxl++6rkMdud8xXkc9k52ysMUJywWRaor0rHGkw4z/ip0XYLOQdCJ +2DMCe590wiXjcd16DmUWWT6v2FmzU/UK9ozx2JNi7+OgbYaxn0GbcM7mSHmm +PsaZOh+GXBbyj4D+EaM/RcJjWAR/Es9zoA7685B5AjLFeELw45zyUOnLjoxT +3/kVspfwVID/raB4T7L6ZF+cEikepEXGEwfEAzFLOsn4B7C3Df5ehMwx6MxC +7mZB/ZF9siWvmn0hUt1OtVpnnRPHDYZl9oAB6wOFSL2L/vOcyYZt9jD2IsbL +D9SDBkxfZ6B49+bFH8qrNw3ZXGANMP98J/Zjmw3EbmQzg/gOrdfzIc/6jCH/ +mq85wPolZQ3TpjvWc2qd/LmcCiP0gfYTR0usF/5eUHwYp4684tYOuj5SrBn7 +vpzwRl3boXMp+PdAtznpOVhQDz5mcWB9UDd7LP2hX8RFAt1vmD/sbaxJ+sk8 +8VzmgT5zjbhj3TFPrD32W/Za5os1yzphva2ATDOePaFok/HLIn0jT6wss/nU +Fsk3+rX0f/H7pSCdrEHOp8D8aLLap55NiMtm2Lm9oJwxd6w39nDWIt/Zq4h/ +Yp99vcTXt3brkcQl5wlzwHN45hzzhbkpt3N5TpvZSb2z7Sz2GvZ0yvyUai/x +etT6LfPeZfeH0daHaA/rrdWJn5XKLt4/WC87gdenY2GDtVtrdxfis9Jm4Von +fo1T7zxrvXoX9k6PZe/9wPwF8GmRzskFOnccZOpi9cF68J2xckPME2sLnfrw +Sl81w3w0Gd9v84u9dh1rOFD9f4/9QaLa3Q26I1G83nWyfzPoBJzzSazaoa9j +zN8T0HfD3okv1iVr8ojdORg37qtKtDcPviJRv1gJvWVYm27zlnYSd6spF4jv +hfziRHV2APz+WHXEO2GNr37S4sQ/Dz2rwVeAfzZVTRLbrEvms9Vm6F3omBjL +7lcKwuPIvDBHmynD+LlAcaNvN+yeQXvv+upv7NkZ42nvKrOfvaXZeGKQ849x +5qwmTzx2wc6N4Gth5234cyQRRjfZ/CPGSTeaPGd+s+lh3tYYz7XVdhZnTmIx +4XzgLORseozxjnXHKgpkB3V6gc0R6y0bbJ19Nmd+feqkvxp2DgtkH20bZTPV +492jIN0JarXTqbYWQP58pFgzdryLE38pvn/kFN95qWKZtbOm2l0T5nolsbBE +HBWDPpRo7veCjkl0B2TOs4H85Wz0DXPEd4nV575UdtLecuvX7EfsH+yBxy0/ +6yyeRxPVKOtzWixMEo81TjoXWH0xdoxbM2RWxeqLc2PZR9v67/V5T/gfbnnh +Pw3nF2ca7xfDrZ/U2XzhnJkAHStjzWbe5Xrs/rMc30pBn0qV5wrLHe+zyw3j +e53wXZXq7si5yP76tvVb9l3GuNTizPilZhvjwhlUb/kvs7zw3kc91HfO7vm0 +hzEfsNl+xSjt4R3+pN3reM4PdtZOpzm7w+n7KfvHIT65Ttxcj3QHYg9vsfsv +40ccsHZZn+yFIyxuh6G4KtZsY5/usfslsbvCYnLLaWb/62R7t91taHuZ3Ulo +S5/9e4y0mPEbdR00efbO03ZHvffPVmn/gK32n7XM5iT9K7Y8s64vGk3sH5Ay +1NFncaAe9k3O9EaLZWL5ZS2yd7JmK2P53GFztN300N5uu//fdKrtLuttfaa/ +zUn/+6D/AdmJ5IY= + "]], + PolygonBox[CompressedData[" +1:eJwtlV1olmUYx++9z7v3fZ/3fp9ZCUJZyWpGTdeB5okfyQLpJAompFmbpftw +m2VRVKZzflWgSZCWZa2as4+5TSslIQk6axGhBWURVAcdtK31YU4DDfr9+Xtw +wf+6r4/7uq+vu3bNhqZHciGEHVAeWpaGMA+qKYawCBoH/1IIoQ5hsRzCj5x9 +DeUwWlcVwtJSCAfQ6eNsNzqHYgibkxC2QA+h/4D8oXMW/m500poQPq0Gc3Yt +eBb6OWT/QbMqIZyD/wS/n8NPgX/K8HH5rvvwN5uzQuJgb0B/kLNv4JugjcjK +3HeKe/6BP8k9l8CzOfuSNwxAH+LvM87HkJ/j/D1sesHboLX4aoAybEbhzyOb +T5wXoUtV9rkfm+PwO4t+8+vodCN7ElkfeJKYzhDbes7GwDNqHJNiGeHuOzir +R34n8kZwKzaN2F4ktlru/gqdPeCrOVuI7BWoC93H4V8FL1NOwSl0C/xS+JXg +auhG+H5oI3gTtBrZgrJzUwVdh2wBtAv/7fAvgNcg35o4B8rFg/A9iWuoWrbA +P5PYp3y/BHUSz6Pwe8FvRL895U3neWcLuTmRutb93DMX+T3oN6OzHbwcf12J +36i3Hslca/XEUfD30P051/wH8CS+fi04Zym2/8JPFJzj38nfBfhx+Kfw8Sb+ +P8gcm2r8EXgYmgm/Ap0vwKegkYJzoFzsjs5Fgr8/8XUXd7TBXwHNQ7Y/Ovcl +5FPIt0W/RTEptsP4m57Y5+nMNVQtl3N/O/ztFc/OEnKwBHwA+ycS11S13ZB6 +5jRr6qkh8tcN3wveBNVjE/OuyTvRMSiWx+D3qfe4Y0W1e1a9Ox39icQ1O4h8 +LfKV5LIJnTbwVObZ3aN6gbuge5Gt0oxlrqFqqRhfw34L8QxCT+N/WtG4M3Vs +OtMMaZbkoxP7Bu6vwf45zo5gPwe+knePvQ/fkTk3ikmxzUWeId+BfAj53/j7 +DXxMbyp7hjRL36EzAR6vGKvmqv01ihc6gf5BzkYz17obH4ujd4R2hWZma/TM +afaGODsOfhvqA8/AfmHmGqlWOusHH6tYVztQu7CMj4zYT6IzQHytmXOrmBV7 +Hfq5vHtoV3ROlVvVaH3mHaddp5ntid4J2g3qUfXqTcir856RF5E3QJXEM6RZ +GtY+0q6FNhfds+pd6UTiaYG/OfU8nb2cA+VCO6ZN+5F9dBofo+ojcIh+Sxcx +VoHfip4l7TTttgvRu1A7Wbv55eje0w7QLlDu/yCOv4JroF25GjpU8M7UDGmW +roTmR/f2SMmxq8e1k7Sb9AdcD56ZemdrV8vHx/DNJe8SvbkDXJe61trp2oHa +hWWoHryq7L9CPf4z+Wwtu7e2Q4ejd6R2pf6QOvAZ5M05z8zD6M+J9qUaqpay +ke1O5Q/dPHc3ljw/uqMHvJiz2qL/zNui36oaqpaLonf5OHSVeilzb2tnaHes +i869YugA78v8j6rH9mb23Vvy7OmO4ehYNGOatRH4Z+GfhzqIbzD6L9NMabYG +ov8C7RDtkvayZ1M2sh3LHJt27rfIjkb7mob+rehPFv3nK6eq8bvRf7tmWrP9 +P3RyAsE= + "]], + + PolygonBox[{{3210, 1165, 2112, 2309, 3590}, {3592, 2504, 2110, + 1163, 3208}}]}]}, { + EdgeForm[], + GrayLevel[0.49193521424438413`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFWFlsVVUUvX3Q917Pua+lkMigiLSIFkSwFCXWKQpEqTSRoiAKWhwoFCml +JREoiOiHEi0xGg30QxAVcB6hVcHxhw9wHhM08iP6ASUoGgZxLdcyftyc/fbd +55w9rD3cN3xey/TFmSRJbitKkj5Ya7NJsqE4Sebj98sxSZZhvTskSVtW9BLI +nMKGb/DswTMNMveBX5omSTdkdmYluxhy7eC3YO1bmiQHcklShnULztqPfQH7 +mrFnUV88WFfh9xeQHwa6A/SPvB+ylxWJfwbOWQ7+56C3g38h7vjM/PngXwPl +m7BOAe8nPCPAfyFKhzshvyaKX4Hzb8XeooxsvCiruyh/H2R+Af0a5K8HvRp0 +Cvk60KtAh1S6TPG93DfZe7dBph/OHA2ZdaAPkg96aZH490CmDXR5Rr55DjJl +oEdB5sUo/gWgW4vEXwSZrVF75kGfmqx0qwZ/KvgdoPOQfwv0Otj+JtZu7FsB +/kLIXBtF94VMGei/aF9B8aBd1IE68RzexWcl6OZE72gv318Xxc+m/9vA9/dG ++X9b0N6llv+yJEm+zSfJ64h3D/TZl5FePcbL0UTxJ/0n6FGwqwpPLeOMPbux +fyvWdtzXDmy0Yt0E2Z8tz3W/6aIoHCZYr4YP9vr8vb6XNPFCDEGlf/WtdexW +wxcLgPO1BenHPbS9DPcNBf1xkE/p2x1YmyBbad82QL8OyCzHU57TynfEWv+M +fLzHOUId9tn+o/b9mcZAAXedBfoj3PUDFPwetu/AeZPwbAb/CE1LJf8hZDZH +4WNukN8+tV3PRvn/9iAbWh3TPXj5Ps7clhMWum1jHnn4CHwbSqV7h/3JO1f6 +Xv6mzgu9dpumnctNM9fPsr3cswL0rVg7cfahjM7j2Zt8/itR/hmTCneDjfMS +/B4C+gPo/zjisRK+fqIgzI/HcxNkt8CWBthyGHK3BdlIf1yC9xfjuZ24DMIt +83UcePXOl5YgvzOnm4N8wfw4BzIbcdejxcICYzyQuRqkH/NskHOKfmsM8jP9 +Tb1mgr4K/Kfg38qcsEIsX2aMfQ35qeD/WlBNfdR1tRn++QPvf8czJqt6whpC +X652zdwNex8o0dm9fVTfiJ/SjGxvNsZ67FvWjKWOO/PjlHPsUujaCP7egs64 +2ucMjdJzAnQcH2VLdVQeUIb3nG2Zoa5tbc5xxnCZ9Twfeq6BnhOxZy3WXfj9 +JHQeFeX/qigcHDK2RrhGV2JdC9n788qhIcDigyU0ULWw3XXmxpxiThwtjLpn +NvsS/NaeVa6W4YzpJZJ9GO96sfetIJuOOEbHi4SR+kS8RvOJn17TXG8yTd0P +Gj/sG/WO0VzIz8kqhnw/0zLro84dmQq/Pxv3uVQ4fx/6PBPl1wGpcDrEfYF1 +fZrPKU6Fud1BPh6QUc9lDR7k/GWMSk0TmwOdj6wTq+y3x6J6XDfO6Yyyf0dQ +rjTaD2+DfxLrSPdTYpH9rKhUMTwNzCwKupt94LBtYizezikWxxLZ0WFs3Az5 +cXj3Y0H3nPBd820PZ4o7grDE/lZt7F0PXnlUTlQG5ctx770rCA/s5+zXzO1p +rh8rjfnBedUI6lhl7E0OwhnxdiXoCuwbzvkEsVsSNLdwfuEMwnjy7pZUNo2g +fBCPevE3+Quicnex5bm2mG6F3f1yOp9rRU71shO2rMdzOPn/Hfmjs6rj7EnU +mzWZ/n0oFc06zZrC2nLS2KOujCvzkrWG9Z99kueyx58btLLn016+494q30V5 +nsf+PNz5wzwixhgfzm7Ma9YqzkmsVzNyyi3G/YTtYVw6XdNIXxMUk0+g+/0F +YXJX0P0V9vls5+8tUXe2+d4m11/q3eq+vxTr5UF4fMOzJfcwZlyXmaZNo90L +WbdmFSs37kkVlyWcWwrifxukF+9jvtCXc53LnDmIacaY8SWPvYzzGWvrFug8 +Nqs8oU6c81gTnwf/FHh1OcX301Q1pC5onmMt205cw/GD8qqD2VL1yHWpZkTW +kdFRZ4/1XMseyTr7UtS8McP+Zw4zL/qkqpsNnj/od/p/UpC/qOMV7j/EHuPG +uaLJs8Wxgug/CsLwVttenVWO8SzOyqx950KHo9D9t7xq+NOpMFsThKFWY348 +avCavPDdi+dAXr4cY7+xJ1Iv/mYtnWKa/C7oeFFOc8T+VLV6elA9ZV2tifLx +OPuZ+rEOsGZemKpOvsoZv6BzZmNvHfTpyst39ZbnvQdT4XpWkOwk38u6Tswz +7lz/zQHTc/zNwLxtMlbpixWel2jr4ZzsfbjgmpLqPXk8Z4cxRl8Tm/Q7fd4/ +VXxqo2aeCZ716QPWa+YXZ0TOB+955u11H9/rOtvg2s5+xv7F/sd+lkmFD84I +xHyjz7zK9s61XcTsePP3eR7mzDfTfPqZvu9yHePcRPqIa8VG+2qN52rO15w7 +W11niMFO47DL8v+dwzmMNGdc9rB3o2oU9510nTnH8aAuNdZngmnqTvwxNoxL +rWsjcbXYdYD1YKP1pZ48u8LnjzPmiQ1++9H3Saq55ry8ahb7KP30EOz6vqCc +/w7rRPucseI60fPELteanZwVg3Ri3tAPp2zvMH9PDouapbtd0/jdy2/L066T +3a6VrElzjM+pQXaz3twQdD/zZmYQtonxgXnVHdYc9nja2pbqm4015m+c/1VB +tfPsVP2q3L2J/u50jIi7ndatzd/47BH0WbW/nznfsB/3RM3xnAneierj/E+B +NYvx2+B+wfmG80w3ZP4B8s/35g== + "]], + PolygonBox[CompressedData[" +1:eJwllVtol3UYx3//6fy/+73vu3lAmlqKJwi98DAFcZngoQungrOyvCin5jTn +5mFCOW2bXuhGKKIYJIIHrIlRBKmZtcq6iS6shcdK8UrtIhelRDXt8+V78fB/ +vs/x9z6n/+iVTbWNJSGEBqg/dCoNYRCCLYUQVsUQHoNvwk8dEMLXeQit0N/Y +rSsNoQ3+y7IQ6qBNxRC6oHeTEGrAz8MvhUIWwh38p+N/EftrUB/8PvyPwD8i +/g/oJyH7KncO5VqEbC7524g3i3hjiDUQ6ke8f9BVY/Mttu2JcyrXoKJjKNZ8 +bGbhvwvfPuRjoXegIfiX830vkX8DtofxrYBeKPrNiqnY9fgvw/8LdO3E6OwX +wiH0J3hvBf6b0L+Kvpx4rfBb8fke3/PI5mE3BboFvhqdaw7+a/DtIdZ3iWs1 +Gp9vsJnB7wpiLMH2A2wGE78Z/Br4PfBA8GZwHbiEfL0F+8j3I/RD0G9FVo9+ +JPpL8BPRd+fuTVWZa6ceqQfqxYvYLIi2kW01uAp8BaopukfX0c0HL0Z3C2oj +11JiLYHeZljuk/cCshH8voW+Cdtf8O2B3ocasVkR/XbV7CS2K6NnS9/UBT6m +HlCfydi/jO4zZMPR7cCmEfwpuBLcAm4AnwM/Ad4GXg8+Dx4G3g7eAK6ktn9C +Lch+V5+je1mA34/tK9G90wwcBz8bPSua8e3gmujaqMYd4Nro3mjm9oLnRc+m +ZroVvDy61/oGfcvP4F56fYX4BfR7cuduoBYd8Fvoz3+sRTO4OfMOaBcWEOMy +vruRHS1xfffAL0S2jFx3oU7VH1wH/we0Dzwb/Bx8D7QDnGSuhWpYBh8z11I9 +SuGzzL16EpzDr46eNe38afzXRM+SZvBD8FjwX7y3ifc0Yt8/c+3Vk1L4AZl7 +ox4Ula/cb9eMDIUflfptz0Aj4a8jvwad4XvPQlcT74R24WPwtOhZ1E14I/XO +aHfmQvXwneTYS/xj5OuAr0b2b8E1mZl6V7sT77p2tht8I3EuzeTN3LOmGdes +T0tdS9W4Cj5CvxL7tmYb/cTUtdcOTEidU7nX4v+QWL8R+x60rcQz9zj3nVDu +T7A/m5pXz8/A38vda715MLHWIXuIbgY2r8M/yB1bN0S3RLfrpzLXRjdMuXr5 +fRCcsxbdsMS7qBsWUs9eH1QJvzP3rdbOtMPfL3pHtZuKsTZ1bTWzmt2D2LSU +egY1i4qhWKrJiejePZ34veqhaqRayecAvhszz4q+qSnz7d6Z+Dbrhk+PnoUf +oTdT30zdzqeIUYH95sy7of+Y8diOT317NOPj4Bsy75Jmcgz6z1PPsm7wRvD/ +ESDdNA== + "]], + + PolygonBox[{{3595, 2071, 750, 1166, 3590}, {3584, 2436, 2434, + 1942, 3585}, {2907, 824, 2087, 2018, 3588}}]}]}, { + EdgeForm[], + GrayLevel[0.5824814136859789], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNWG1sVmcZPu/7nvO+b897DkYjOra4yEcLW+IGG+og0ZHSmTLRAElFwVBl +CxkbLR2CMGHls1+jtECcUaD9MTWOLVFnZPNjImOb0iJNJjNZYStOoTI2BptS +1m5Sr8vravTHyXOf59zP/dzP/XHd93MmLl+9qD4bBMGRTBDkMA7ipTsfBN/E +GI4LglmYXFoKgiqMz+N5Cnyb8L4Y9OfjIPgLxnvwzMDamozoO0G3ga6AjE2g +X8LcV/CMB90VBcFjhSA4gLEPc98HvRPjWsjajjXXkiCYg7kfFcT7jaz25r7V +Ba15AfSn8W1mpD1a8V6OcSPkfxZzn8EzFe9/Be/rOc0PUt8wCBpBx8UgWFIm +eVcj8ZFnAOMZPN8BPT6S3tR5M867FHQVdDwFuX/DMxHPIxnt8zB47oKsO7Bm +Gt6X5MRPm8zP6J30yznRk0Gvg8wX8W0txrJEOhQxfg+6PVqUDaoyshv5h7D3 +k5C9CPwn8e0s9H8f88PgLeB5NqNv5FkAOZlxsm0wTrpy/t94nQve/VjbCVss +Bf0T0D+Av9+H/JPgGY/xj5h/AvM/xPqDGP9QlM9Gsjr/Duy1MJEdUux5CN9f +B18TeGZi3I73j4C+nAbBP8FzPtY5Fvsss7F+gW37QU40Vd0AWQtBz4w1t9A8 +t8Out0Xy8SOQ2YnxEnjO4vu5nOz/Evbsxd57ca5dWe07HOhMI9b5TF77ca+j +4O8oUzzdBDoAPRv0pKzWkH9NqNhjDG7B2s14akG/i703QZ9Hocsk0HXgWwV7 +rMbzIOgGjN/GuCRSHtEuo1ibgcwGzH8tkpx6zNXhGcH2P4asX+B7N+SV41kH +vjWQszurvODaVXn7HE816Ll55QVlrLIcxkG9aT6cJ/8ToexPP2zFXg9Ah22p +8r2BcZWV7jxrrWNlCmStD4QB87xXO74ltu2BUD6iryjn/kiy2qk3/YBxS6r5 +zany9qGM5DLmeF6e55lQ+cLc2AN6bUG5QZtTn5WB7Md11KvK89SnxDjEuhjj +e5FoYs70onxM/95v/FqJcShSnjPHJ4J+xXh1LS+fLWdMJ4qtJNE7fUg7UPbf +LZ/+GfS3V/I694ZA51tu/kKivfKJsHOWcYwjY42+ivDtVdBhItzdZuzl3Gt4 +HoKcDyXCr+Ow4ZVI3zjPeGzEswz8bVmNSzHfn5dOx/DcGAmjiT/XR8Ig5mAF +6H7QXwJdj/FUTmt5jtM5naU9p7PwTDux9wXQA7Fy5eaizlAN+rug74TPPgDP +XozvgGd3olzsNE48acxkjRjMSJ/XMB4MhXPEWsYo45O5xTh40bakX2iTBrwH +PuMK0MMZ6b/W+fYtjNOw9mQovnLQvaH4GAc7XTuIGXuNG+eg8+8oK9UarqVs +1o3drgtXIfcM5ocSxT5p6kJb0CY3JIqLPY4NYuqSomKc9aTT8TbHNY3n6ooV +/8x75jJjgfk6pSAdGev/SKTPIMYJkPl1Ynde2Eo+8tCHdfZjN/j2g78L4wHw +31WUHe9j7JuH9flexzxxiDnPfCdWrbOde8qEp/QfcYLxwLi4HAuP2qHzW7Fw +9iDopoxwkzHDfLrP8m/F2lvwTM6q5lQWVXeeSuT3nyfqA9oLwre2knT7Yiyc +Jr4QW7iGcUU/VeblA2JCX0bnZT25OZJf+K2jpPMugpytecUd8/FTkbCdujZn +pBfziPs3WYcZ4JmOZwpxMKOz0G600xrjI+OjzvnC2sZa824qX7wc6hvxcpZz +nH7uyArr+Owyfr6Tav5irLzezn2di22O82HMtbCvwNwE14PLjrtO4zTrz3lj +AOfIw7NQr3bvRT9x3zextgu+uLdMOMs8uMm5MBIJZ9gjEWtIjzMuDbpGUJ+z +5q8qKs4YY8zvC9aHepw3HrG/amKf5jyocC4wt6Y6v7hvayQ9mEPTnEfE8+ZI +fB14yo17xPAdkd535WQzxt7jqc57Idb+DY7tloz8yX0nRIo9Yg97M47Ew+dx +zqcxfzSR3y9lFMPEDmII5z4RiYf4RRxl3WLN4jvnKW9fXnFKn+dL6pcKJWF5 +h/Vnjhx3XtYn0nNyrLipd1wRO/a5Rn4S+/4+lE57SuL5aizcZA6wR6Iv57hu +fjRSXvAbc+NERj0PMbp6DF8KeifNh9hInK+BTz9cpp6iL9G+JxLtTZr4fdp2 +p81ZW46EwpVXE9nqNMY3YvmCPlmQqje+IVa873IuXPT72VT+Zxww9hgvjJuN +rrnvOQamuH9gLnNPYsU9zpcHI8VdWyq6FeN+6LEPfAcSxQhxijozBhkTjAfG +F+Uz3hjXw8418jMfm4wTpOk76sH7xkb3YPOM3ezfrzrOma+Uwxxh3DFWuRd9 +vtL4yNwaccwzjslDTCLNkXu9HSuf2fO+EQq3qE+n85u5NhCq5rF2tfr+wXvJ +Kddb9rEXQp2BcolP9a4Z7O/bfRd7M5SuLb63Ndsmle4lh203+oY8x2HTw1jz +p0Q1jTLG+lT2atTtp/j2OHh+xrjAXE9eeHwE74cw/1yinr7JvqYNhmwr9h7s +yVj/+8HXA/5TierBbMcz74rc8zr2a3j+DJ5z7LVS5Vg2kS95F+VZuCfznznP +Xpj9EHN/mXsL5t0LxvFcIhutcI/REAsrn0X+rY6FU7/1fYV3ReYgfUnb0+88 +N/OwzzWk1niyKhYO/KqkmLriuKqLhY+/LukcxB3uXZ2qHn0c3+tj4eZvSvL3 +CuvMHKhxT8V+c8jYeN69/DLXPPaDG9zjsT8knve4T2ScHCrJ7k9jfCBWjj9T +Uk/aa9+NYQrPy/luy/llSRgymsqntzlODqeq5Tcm2qvX/P2OB9ID7tfoA+rV +73n2glXe65h7WurPnB7IC9dGx/qhjPriK66hxOX5xvZG9wyU32P5x3yeHp99 +0PVghjG/1n7vMe7WOi/4z6HVdaPK8ukv9prDvh+xF+F+lb6jjfjOQpp9y/xU +cibAxm+Fut+O5UG5c/DuVDa8Lta6Kt+/MqnyOYvxdvdJtDHvT+z1qT9zeYZ7 +mBb/C2EO/PdfinWgzGrrtjBWvjBvvpzq/8n1sdaR5tp55qcOOyybeMI7yBbL +JN5stT232b7rvVelecbu0ozLI6n6/mvOhcnGt+b/+69Dvs2+43DP6cZJ9qnb +LJ84xNpMH/b6DsX4Yf3c73rc6Ps7dbgY6v9Rhe+yjZ4f89mwMYHzjJlCqjVF +jLlU9g0xRqn8l8f4r0RxfCURVrPXZM69HeqfFG3JWGItZzzd7X9nR7G2KlXM +XEqFIcRx4gi/kSdIZJtbXI+4Z7ntszgWXhG3PhfLnrQrayPvt8ScubH6ledS +4WGLfUrc7vZ9hN/IM1rSXJfxnP/hHiv87504T4yf5nrT6Hw8YVyY6ph72LWy +2flC+1U4Dnn+GuPhRPeM642Zfc6rslS2i1Pl6iTXssPuv2pc12513HwhlX0+ +FmvdVNdB6nmH7cnay3sv83rUfgpS1YWxfvA/Sx/IrA== + "]], + PolygonBox[CompressedData[" +1:eJwllnlslVUQxW9f+/re+973gRBRCpG4ACKJioILRMFA0bIpoIgWExNDTFha +ChajCRGVoNSWthAxymaC/sESFJFNZcclgGIUTNhRNtkEAUURQv2dnD8mb86b +uXPn3m/mzL3lhXFDK1MhhGVIERKSEE6iTC0IYWgcwtp8CDMLQziGbI5CuAb+ +Cb1VOoSF4O/xWY//MPy3oX+FfQb2I8gm7EORUejb8TmAfVsuhNIsPuCZSBP7 +1WJ/PxNCQbMQemMrxqcRWwNSjP0Mv9OIP4z1ReDT4LfBT4E/RRaCS8FL0VPY +T4HfAj8JzoL/ANeAnwZPQCaCy8l/PHoV+3Vjv5bs31QcwgDyHUk+G/H5Eftl +1q9j7UzsV9EH898SLuwwMgT9JGsPsm42/nPA5yP7KvdacDnxj4Bn4/MB8hy4 +dc4x54DX4L+X/SqRGdxdIWv2oHckv1XYWiE72etOcF/2/wKfBuyHkA3YUvjv +Rr8F+wrwOmQfeAz4DfwD9l/A7cDLsK1m/fRC+8i3HLwFvRQZnXeuJTnnppzn +xj5bD/Kdjd6TmDel/c23gzchK9EHYt+Afgz5Gfwi+Aj638hBcBX4Inope45g +r9X89zW4G3gIeC74Q3CS993uRYrR2/HfVZ2XXHax96i8c52Af3vWhmaunVpy +boOe4X5bolfiv5Y9e+IzHP/F+C8nVnPWH0+5BjpgWwOux34AWQ+eHrv2VIMJ +8f7lv/9S/gZX0CNyOIv9HWIPx7ejeoK96li/klgtkBP4VuBzK7YvwY3YflNN +gY+yvh77ctbPAxcRYz+29kgZvk3ILvQ23PFS7FXYxxPrWXAF+l5kK/h51u9G +f4x4d6dd8wXoDbH7Sv1Vj76A/+Zjn4J/tfbnXCOyrsUrwT2uXr8Ln0fxvSGy +rpiK3QfplPY3/Ct2DaoWxRFNsWtOtaeeqSH3U+A6zncR+TPxN9e3P4T/P+jz +I59d9X8M+6XYts7EKE18Zp1d32wS8TqT6+Wsv2UP/hsb+25riD8GfQq2a3z/ +9hn38DL+W4S9hBgPEa87cn3aHPFJbM4Sd6nmXsm7x9Rr4qj6vNdorWp6I/4j ++K97oXtEvdIL+81pf4M92FvHvttG8ilB7429Q9o9cBR8IfFdTEfOsNe75Bsh +ZeTaC2nDf/fj/wDyRGKOFdceRZLYZ9RZx2OvwT4tsS7OEHeoZlW7qqE0vpOx +j067xlXrqhnVThX5VMbmPHHfy+Bq9Nfwr0p5zeuJOUJcoR6dzPq24AfFPeR6 +InENq5Z/RXKs3wLuSazj4Obi29i2jkj/vM+ks6lncuhvJuYm7am91UPqJe0x +GPxS7NzUU+qttuBTKXPuJe2dM2eLq6eSU7PYe9+BDGK/OPbddUIGgquRbwrc +A+qF2yLfhXpUvaqZoNmgb/A49mLxFWs7IP2wR+DD6LcjA/LmHHGPenJc7Bmn +WSefPPiZyFy+S3vE5mhxtWJmYnOQuEgz9GFsmby5ThwjrjmHNKR85lrdB+dd +mfVZ6zLOSbmJs8bi+zn41QLP0BXoI/F/D/9H8K1GjrPfziL3sHp5n2ZwkWtU +tSquHIZ/RbE5UzNas1ozZUhkDheXK8bv6LPwXcKajzPeQ2fUWTWzhkfmHHHP +JOJfiMxp4jbNnDGRZ6Jmozi2Dr0Fsa5DxhY7h1V5c6nOpLOdjtw74szz5NuX +/eflfDbtcy4xd4hzTkauAdWC3ixV4qLEvak7PRt5r50Zc5/2VI2oVvRmGRe5 +ZlW7mrEVkb+5vr04vDLyG0NvDXHMZ7E5WFysO90f+24WIQsyvqMS1nQjv/uQ +QeQyD585ReYkcVN9zrNLM2xHoX3kqzdLJjG3leXMFeI4vYH0FlLMgYlnsmaz +Ys6PPYM1i1eBt8R+k+lttgG8I/bM1ezVjOkTeeZq9mrGdgVvjr1WM16z/lvu +eyH7z037TD/EjiUOFBfqDaa32L3g/uAbidEF/R6kX+I3mN5i+q8MXE6sLlmf +VRzYjhm7NeeZ1Rj7zaW3l94s/YnVOnLsrsiAxDEVW2/AwsRvqT5Z15RmyqzE +taeen5h37t9h/yjjMyzOuafUS/pPMRVbb8w0+v+qe4Az + "]], + PolygonBox[{{3599, 2089, 826, 825, 3588}}]}]}, { + EdgeForm[], + GrayLevel[0.673027613127574], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFWGtwVlcVvUm++z3uPXdGGkqhqBBqqBUExhkoHWhpIQmUFAkUEFtnaCso +ogWhgIN/LWgLowOKAkpnWnn8kEdCOzo+IKElPNKHUsFnYQZaMGhtCMGGRwKu +xVqd/jhz9t13n3P22Wfvtfc5VU8tmbm4PIqi9rIoqkDfkI+ir8RR9D3Q+/Bj +JJirQTeBbkT7MegT+J+HfDlaM3hL0TaAPywXRa+gjQLdC5ketBEYfz2NoqGQ +HZFADvOvRzuCf/dlUdQXsltDFB0rRFF9heTn4/9w9Cvwb0+QDGXfRjuKcS+j +v1oh3ZZh7bH4BjvaBNm1aDvA68RaLZjnC5DJYe1PQ+ZnkCkHvwD6edDT0Feg +/QD0w5n2t7VCe7yMeR5DPwn8BXnptA2LvAf+I+BPBL8SrRv77YN+LPrjOY15 +E/v9CfqbpSiqBm8n2hB8T/e+I+hTwpi15FGvCtmSNtwPOxyEHtvQYvx7Drx6 +9HWYg5vkHlqC5hsP/g3wJuLfRnyPRt+J73rQY0BfjMXriEXfD/5ajFkOugN2 +uFaSjQ+kH8s9gO850POZ2Lb1nNxzO/oLaCNBn0N/Hq0K9Kic+Tk1yo2yP7Rb +fnhO8sMs02F9WrDfR7D/auz/89BtC7cJ3fqDvga5fujvQtsEfgX4U8CriPU9 +JJNNBqP/LNpmfOYSzb8/p73cnUm+Gv3rQXo9APrBnM5oDdpU0PlY46lLvfXJ +5/WP/HHoT6EtBB2BXwP6p1wvL52oz6cwby/ogejL8zoznhftd8nn8lK5zv8G +/SNo/drM9kZ7Ft+tkDnkePshZHai/1FQDDImGY+MO8ovdfw1OTZpzwMFjaEv +cw7us7ck/zqMs86nmiNDX4e1H4KeMzH/FNCTQD8KeiroWtCzQF+3blzzSiLd +Cqn2x/1vss5N1o0YQl9/HGPeSKVHG/oJmc7kTcw5Piebft2xRP/6J/iDaO+c +Yn5oTvFDH5ud196516exvyvot6PNwxpPxMKXp8BvBL2Wcpni/m7oe6Mk27wO +HVZCpqygccshsx78npLmII/fg3PSo5L+AJnJoGcbV7rRfok2INP5l2H+4Zn8 +53PEp1RrcU3iKG1APeYZMzk/fafX/sP9bKnQ2ZyMha3EA8bj0ZzsQn9szwkb +uTZ96Cb430qFb7PR/z3ItrRx30x4ECXChmvGh9dSrUNfoP93Owb+kGnt32XC +HeIP8Yjn2Wo/vO5z5/l/hPuc64Wg89oSNK7FY4n99Bt+U/duY3srbH/IGPff +vNajXYhlxLRGzFMG+vugJ6NfESs2GBeHrA99rNJnyHNvdLwwlv4VhMPvok8S +Yc8H2O8+7H0I1q9L5UdN9qXTsc6bsExdm63/8+XCe+Ij8X97rJhlvyOW/UlT +ZqXxYVcsf54H3fbEwoo1GLs71nzsd5nP/7tNs99jvx1T0PyccxbG7o0/1mWv ++fy/3fSpWHug/n8Nwv2pzKdBuFwbhIUjnZeJ0+TTLh3GbPoNfW206Ubbkr5x +W6I9XS0JJ+g3/Ecfpa/SVrT3WPvqWax3H+mg/Dwhp/O6HCvmvwx6RhC/Af2Z +WLHW17ZanZeNdjjOaOezsbCg0jlomPfSN1Gdcr2kfFTtPMsag3UCawiOPeN/ +1Idnz7yWTzxfSXnpnOfluCOuf5gHiTvLHLsnjA+M16XG22IifHq/JFw/Yj95 +KVPcLk91bo0+r7K88gfjcn5B/k3ffq6gPXO/XGub/bA2r3jnnN8oCPP4jxi/ +3988/1O2YwnyReetOC98Jk5X5JWTiD2XEuUH5pZLxuIvor8Zq57gGTfa3+iT +e+3n9MNCXnmROW+WfZsyjO9e13vLHPvcF+1O+/N8B5mm3emwdc6b1JMYy5qM ++teDXhdJ9qzleUbDnQsYr6e9XzbunWYlptY453K/zF+sn+ibXbF8j+vUmV9r +edZ/xJjlrnnGWZ61HHGdtmRd8u1MmL440zlO8lji60TjOX2fuZ5rTjKfWEbb +PmSaMdju2ONeOT9rwVrjzE3XTvRJ+jNt/rBl2E+xrVjXTHF9wvg4az+v9lja +qjlVHMxItafLtgPPnPQt3AoaPyHIx0/az+kL1Js6U/eb9g3WksSZ+13bjHbs +s/Yf5hjkvnkotElIJHuxpBqKaz5mvL3uuoJ+0+N8wb7X/tNtzGH+Yk+dNnr+ +G9atxmvxLNiXmab9yxxrB4L8Z1LQ+fCcWI9ttg/Rf3badvTVLp8h9dxlOy00 +jnX5u08iW3aVZJMO24JxRv+jj9X5mzT32uN91ZhPX6U+nV5vc5B/j0P/iUQ6 +XsL87wRh9N/Q/xb+92fIXzW2MA4Zg8xzxPWjQWM49kzQPeQWlmc6A57FX8C/ +B/SjRc1F/KK/7Ad/NXjPFpVjiT30S/pkA3iNkPtTrHzAvNCUav+0Q6exf6xx +vgn8mRjzdqxahOd2R6Zc90RBOh/DuQ8tKI9XF1QTEP/aIDcX9BzM354JDwYm +Wn96UToQu4kNvwq66x30fa85r2/WXc9kqu1WZFqn0mtx/FzLD8F8J4uqKWmP +l0uyyW7blrhHfJjjXHAhUY7vyPTNHLHUtfmtfFGu+f5Y0pw7QM8FvaSg/3Ms +8yL4p8BfVBBOEwcZ18Ra3jdXuMag/Yn/gyG/qqQa9ATGnHPOYX/WNOt4xmoE +3W6D/PmS8ug+9AvRVmHcIvBPl2RrrrPA86/390d1zgLfeXkHIFbmMOdSjH2n +pBqajWfG82IdzFj/ZCYcIZ48GOSv9Nt/BMUeY7AG/e6geNsbVCvQb6ah/zDR +3X5gUE4iTk0POos1rg3m+w2BuNYchDsHg2od1jZ16Ntc97wRVA8Rr+qD8hTz +LmOQdn/aOXSGcfI49H8SvK8WlK+7gjDrf0G24xnSZ2k75mPm4jrXlpNT+ddK +16bMoU96Hsou8lp8B6EPrsxUL6y3zVn7rLG/cXyZbXtvQfUBY5B3YObMoRjb +k4l/Ff2MouKNscb7G7GvPNNbCWuaV3jvT1STsDZZkequuzHTmwhxqCrTfYlx +881Ud2nmlmHgn8ukxwuJ9N1g+3Pfq60zz4Y0cYFrbvB7B3VaZbu96/r8HPqL +mXDg34lq2nu9R9p+jO3G+1OzY3mL7xq/QP9+ovveJczR6TP7T6I46CwoFlpT +1WrHUuVJ1i3cD23A9ybe8af5LWhAov/MtcyzvKe0+a7CMx9q/fnNXMU8VZMp +J3wYVFfErrWmei3OU++ajLw5Qfm7mKn+OmB/GOh3g0GZ4vViUTF7zDpQz+8Y +x4hn1OGY9TiYqhY/lGq+w64LWQNyXeJmm+/gb6V652JuvCORXKvvYmycl/ui +rXLGojavxX+1riOZu7iPguvAPn4Huz3T+gescz+/4dyJfoBjr3/QmoctwzxP +PuNxuOuHkV631TL00xa/abzluGZ81/t9rH+iNVss35DJ7l8ihmTSlbYf59w6 +Hn1lInzlGxjlKJ9kehvi3eLVoHsF7wFLwLuS6vx7Uvk4/Z5+/qrtz3NY7Ppw +Waa3ANaOIxjj9sNW4wRjhWv/Gv+OQ+Y3fOPCWl8rKodVgV5QlN/z/ZE1yPmg +dwrWZb/P9B5Bn8tnyjE7/R7y86Ba5kJJ70q8q92eKG9UFZU7Pkh071jH8/G+ +uD+O329M4z4a/IYz3W+VdyaKZ77t0C6vGXuJweQ1mH/rfun6kH5PX2T9XO23 +uHvQb00U4++BbnIuYE4Y7De9z/B9Ffp+tySMPmx/oH6PWwfGeLfxucsYP9p1 +3Tq/1/A9eLLfE/phzf8DIwbjCg== + "]], + PolygonBox[CompressedData[" +1:eJwtlmlsVVUUhU/7Otzed4/Btgh1QFq0SqxC/IExQdCIoBalNNHgkKigiDhU +tMXoX0EFahwRipY4xKLRoCDOMhttZdA6RgUSDSiOpY1SCzh8q8sfO2+tc/Zw +zj577/uqZzY13lYYQliAFCH/loYwqiyEzSUhbELeiiF8WhxCVy6EQ/kQBpDP +ir2mvclZCGMxPAfbLA1hN7YVSQi34mcu8htrs/i9DulFfz98CQGvhR+Av4s8 +gu0X+HsPPAP7iUgt+01IPCqEkfjrx+ZBYi0Az2Z/PnsVSDW8HHmu0Dq/pI71 +Kv5exF9AzuN89+lu2M+H1xYQn/27wHvQvwO7ZvgSeE9qfCeyGN6E3Ivt1fDb +wd1IHbnoVA7AP6e+y2r4C/AD8Ovh/ehUEW88MpL4FfgoYW8XZ5+AnIxOgXLA +2XuQZwt9h8vJ7wzy/gn+XsdfLzp7kavggXPvwfZp9G9SbtEbQGcR+CxkH/hm +7IvQO5P4t4AnEb+O+GMwT4n/GvbTE7+f3nEaOGOtu9gx5fuZxG+nGOui76oc +VGJfg25DYl3F0FvMS3wXvcm5xKslXjX6SeqzV6OzscR3uCFxjam2tNbMGevx +MxVpAa9MfZcOdJ8n9mV5x1FOPoI/hf82/EPDk5nfSG/VgvyO7QfoP8reCmw+ +BB+reoNfhM2l6P6JzW7wlaz9Aa5ifzF4CmtT2R8OXwS/AH4xfBj8Afj58Avh ++7Dpli5re8FfZq79cax9Bf4OqYefDf8e3Jk59+qRLvBx+GuF18Mb8FeOPA7v +V42A/0Fnf5Fz0ozuQfic4DP3g+8hlzXk8K9C99iRvHtTNX0YPIf9jsS9czfy +Uuba05u8DB5GjKXwQ/Dh4JPUI+RuOT+jwJvRWcdeDXwTeCc+23M+4w7wiej8 +zf4y+Ajww5nP8jFxR9CrS6PfchVrfal7Vn3ZgbTq/shAzj032HvRvaWanQcu +Jcb77C1Uv4BbontVM6IZPIW1GtUKvAL7XvxdAR7PmfrAryCrwJWsrc48SxYm +nhWaKTFv3xPRmc7+Mfi4P3hGTMb/N3oz8ATWvgY3ZNYdQ8xG1VN07p5gvwo8 +NPrtlNNKcFfetfcYvFN3QZblXJNbVeuZa0U1MoTYtdG5z3HHU8CnIW26O7wO +nEbXimq4TPVIjkeXuXffhq/B543BOVkLTqJrXTVdCt6Qd640szaC34metTrT +lrxnpGblTHLzK+cpjK515aQg+s66u97sIPsl0b2iHikGF0X3inokB+6L9qUZ +r1k/LfPb6Izleq/UtaCZdUT9lnlWquZV++p59f449tvRHZp6dqsmDoPfjJ5V +mllDyMUlmXtNNXA0+z3sX1PqnpkUPZM1m7X2k+ZRtO9Z/3+bNGM1y+TzDeUi +c+2rhtaAR0e/jd7kVHB75trSDFoJPj66FtQTJ4C3s7YePJa1beBGam9tmXtR +M7c6unfUczXRs//zUs92fQP0bZibeLbrG7Elsy/15Fbw8mzQdPCb0gZujZ59 ++ubo2/NQ5t5TT6o3t+Vdi+rh7eD1mWezvgkbwD9knoWaaT+Cv80829QDu8Bn +RNfiCtZOB+/I3Bu6407w7MTfBM1o/Wf4D6K4FbA= + "]]}]}, { + EdgeForm[], + GrayLevel[0.7635738125691687], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmHuwVXUVx/c5+5x7zt2/c0zhAj4uCNqIaRioKDjXHj5TpsEpdOoPLQnE +ERQrCwaDzEqxIkkeXscGAb2ASIggiILYVBMKVy5aAcJ18jGYlmE+mjAc6fvp +uxz7Y5+1ztrrt37rt96/PWT81C/fUM6y7PVSluWCa/WzTs8Dwoc1s6xezbLT +BE8R7Vbx3Cr6yfpfFf1TgutbsuxRPbnebav6P/hg8U8XvEn8O1tMH54bbgi8 +r9YfrGRZH8ERUuIu8S8R/3DhvxS+WPhnhM8Vfp/w7VWvZZ/BZe+LPg8KrtBT +Fd8yweV6TtP7du0xUbSvZubtCf4FufGP9NkZZzhba2qS3ak1ewWTYK1k3p3B +P1I8C0XrkpxPN81/quDzetaK5znBU8vWCX0Gac1UwWvEP0+0dXpG5D7LupA5 +t8Vrhwk/UevLevdJwTMlZ0HJvsAP74lnlGinl223edhFaw60mHa2aH8VflD0 +YcL3C98vfE7NNsE2J0huSbKGCJ6hNYfEN188QwRf1Ptu4e8Lf6vF7weK70P9 +bxfsr72u0vtLpU9XyMNGI/T+NeEHStYZfvQ+R/AN0Q8LP1f4m/CX7cP14Uf2 +YP/7JfMs4RXR7tb/p/T0k95DBbdr3zbhk8v2Ef5ZHvzwLsscj++GD4eKt3+s +xS7Yaal4rhJPJvoE0Q5Ln7db7M+hTe97UtP/sQ8+HiqeV8XTK/zopm01QPAD +wX+2+Kz46p0W68K58Cs+xf/dEZfHxJpjBY/PHRPEw5GiDcmdI6fmkWOZaYOD +Pj1yCf4N9Sy7sTXLbtMZalo7MHdsE+PEOn6pC9b0nCb8sGAFWcLHlEwH/4Tg +EXo6hJcqXgP/Gsl/WM+smmN2UMgvKtYbHb6QjJ+XnLOLcudtdzK+XbBL8P7c ++btR+g7Us1J2GCA5K3Ln+HWirdZeM2uuK6fEeYeKfm3dtiPvkUPuvyC5K7FP +oVwUvkT494X3yt77qv7fT/KXBj80cnhxbtrioI8r+eycd0DumMZulYrtgk3m +Ri6i19FHZNkV0qlNez4jeW/mfnec/lMw21PEacTbmdJ9hZ739G5osm1PFuxT +sY9vjXrYEzXnVfG+o7WtWruenBTPFeLv1l4HcteKhbnpc0quGcQY9L7iO1br +G9JxUNMxfbzgzaJfzlkK+/xr4Xf0+nqrdbsgOc4uFGyp2BbYgfzuH3Ygvtoj +Bppae6XWjpWueW75fUTf1Op30G+QrGsVE9cn59iFofNnk2V9TnCanrHCT5du +h8vGtX02KlmH0YLDk30xIuzAeeeKpyNqBv0F2rag/7BwXO0Wf1G49l3QyLLf +6n+n6E/IJk8L/5XwZwR/p+ce4b8X/I+ebcI3Nl0riQ9ig5p2IP7fKZlPiufN +ZBo2wj7zxLNI5x5djnpbcp4dSq5ZHwj+oHA+/En4zMKx+FxyrT4Ysp5NruM7 +BBeIPlkyh0nmv5vG39O67eLr1LvRJe95W+zb1nCc/E28W4SvE8+TgrdrzSOi +v4R/C9f3joZrGTzo2Rv6EhvUOv6fX3IPAOLfVVqzTO8eapgOzrt64TWfF/0n +wldrrxe11x3CHxX+qvA5wp8Q/kbyWXdWXKuozburzpfdWr9V9F2Ce8R/DTVF +Z5lSdg+Ap0/h/jFWPPMjBuit1NZnAyc2iDVwag31lz48Q2vvpI403Yd6K65t +7zSMv92wHTtq3u/Iwr4ZI/otNdfCrpgntpTc75CFzJsL91Vin/f4fHLwNQrH +0EWS8yPhD+ndXtnhZ8IfE/5acrxsrjjGdse8sShzrarFzLOj6jNSH4g9bEXM +LJDchcIXNlxHmIfIi6MK990vif6C8EmivyR9n2l4r6cbjgV8SSxtD0gOUotv +ifP+Qzrsqjp/NjeNb2o6r8/9v3mvI+YcaB1BnxEyONNbWv9C1ecC7gkcuDvw +GyX3SuFTBd+VzjPpv8K/1XTP/rbgTXquFv5dwQ1RJ6mXu0MmcdJWuEY/2jSN +/ahH6NAbPYL42hH2XNBinBpCDnUHDn1+xBZ1pjvqLfMbsyP9PcWMuCjmCuzy +zbLl9FS9D36Epxa8+4IfPfZFbwL2Bh37nRtxjF49oc8uxcpy8d5SuP9gK/ZC +R3SFh/nizJilmN/OKH88H54eszWxOV5rJwpOaxr/XtO1cHjM2cxRZ8dc1da0 +rH5N5+yMyFvgzPDxPQ3XpU7BeeSn8Lsa9iH1kdzaE37AR+QT8yizI/V/dNQZ +5qizYramTo+IOwD9bl7MycTb/Djvs4FXo5+Pi5qM3RaE7+hT50d9ozeOjHl6 +fszc9Pfro2ftLWwX7hu1yMeumG9nhb78J5/wLfHDTD4q5lH67JjoHdj6wZhz +piT3wcnJNQA6s+jAimsjcywzDrb/37wk/PHcM+2givvOCuF/1/rNwn8hPTfl +xll7ouBR4usvPV5PXvvzwjXiYMzqvOOszFfsvzJ06438JPaGJM+KJyTfIXZG +f+Jsm2Iv9kRvcGYgYpG6wzk2Bg9xszH03y9ZG4T/tDDt7pjbOdOmOBd7TAw9 +x2mWeL7uGFqfOxaQw5naK8Z3Mfu2uj/Cg3zuYotFu7jumEPG9lbLQTZ1nxnm +JNHaW903xkU9JWa4u2yNfn9+9EVi5unC8Zt0jgcK94djYu4jdonbTHs90eqY +5q6wLvooOUz/IT7H1z0H05e4k22OWeEboj/e6h5C7OyP+CEnkE9Npi/1q328 +N7Cc7HPiGN9yRwDiX3xCbcAv3L3ocZwf/0Nj/qT/cQ9jnudOdkfu/0uky6JW +zxd9q87rj/pDd+Qpd8Rl0T8uqtvu2PwS4fe1en7BV49FDLzctK+2yn7zct95 +0JN5i7nr/eQ55eHc91zqF/j9wt+teT4m1/gmcWzFPMwXa8PvawSPqZh/etPx +3E/15y/J727jjiD818J/XFj2mpBPD8FH+AoZq4O+Kjc/eXp0xXkLflzFe7Mv +ccf/rsjBj/zAOtYsDfn/ij3IOe4/5N0ryeeZXbjWtVVc7x7IfYeh758TfiN+ +yYP1sS99oH/FtYJ6RZ+mZlHD+1Zcx+lR3DfwNWdaFeeiH6yKs1AH14bNZ+e+ +410TeT046gWz+c7ccQgva9CBmL267rjFnvgMOcty1+wlUWeog+w1Pvc9k9jm +3nAodyzR6yaE/bmjcF8l75iliA3mqCm57yfUh0m572nk7PTcd2DymtmQ+CWu +mcW43yAjhU84F7HzSJyX2kNdo/6M5D5dd45h76lRK3oLz6BT5asP9X5k3b7E +ftgRexLvX6w75on39RHzPXF3o0/9ueb1rOWbyqHoza80XGNfbthv90YPpv7k +YR/6GrbDbtzJOD9n39d0H2K+4xz0IM7ym2TfTyv8LaQWvXy29r+97h4+O1nm +JYV7Gzam3y1OtumVhes066jVc5N9cEXh+WFi9MetyTr/IXkuIw4nxjc3+C8N +O+yIWWhOsv6XSc7Y5LvwZcmx2xn9b1nM2ej1ZHK9+I74tzV9B748+TsQcwu6 +5Mk+wlf4mjqGv7k/sOdewb6F8/Ni8X4leY4bl3wG9ibXnkqupVuSv0OwLzWK +uWBKzC3E1LaIK3IdfnKEWM7CX/TPPGKYnGAeI956Ym4kH8kP8oT85cz4fHHk +I/NJV8zJ1DH25xsMfiEmyfuuWPvH5Hoxq/B8gX3II+7ByCcH+Ub1YcyFfPeC +b0LMgsyES6MmEI/EM98R+a7IO2Qsj73wbWfUGXrLhLhrMLegAzZck1xHritc +r5jlyAW+XUEnB/nexrc1zsk3s0rMfNylJsVMtTbZj48k33E74p6L3aiRnGtL +zLL4kNrJdyfeYct7owYNDl3Rc1ZyfTlPuv0Xi2ne8A== + "]], + PolygonBox[CompressedData[" +1:eJwtl3m0llMUxt/be+/9vu+835vmUrd0hRtpojQQkcpYplrLH6EsalVLEWpF +yVTXkEbJYmVKaZCIosmsAalo0IDQKI0sTeT3ePyx19rPOfvd55x99n72eUt7 +DbjhrgpRFK1DCpEW+SiqhfJmHEVbkihqBq4Cfhb8EfhYLooqgxuAq4Yoasp8 +JfAE8BLmzwYHcDl4Lvh8cE3wTPD34H/4vhr4RfBy8HnM1wBPB68H/818VfDz +4E/BFzFfCm5TEEUXondiviVSPcMc0l1rYDsJWZlG0XHm9qKvKGId9nce0hV8 +kkPWxvZyfDTG39X464BehhSD+2MzlvmG4Ax4CPhlcBfkHPRGSFf0t7IECRnN +2sORE6z3O3M9We9e1q/O9/vBryCrsW8Drou/xeDfwC3Bp4Lngn8E1wUfR++G +PAC+AFyb+Xngn8GtwSXgD8C7FI9g2xipD27FfB3m54O3g5uDq4Ongr8FJ+zv +MPvMcd6v2eMV7D3L2CTdKTIH3B88ApthyEhwe3BZxjG+jPVuxlcGOSuxSM8i +ZeidWK85fm7Cf0fFjm+vzNp3Y2I+E71vzr6Hyn/w2d9CfuD78uCzvoNsAz8Z +fJb3kF/BTwef/X1kJ/iZ4FguQvYkzgnlxmTlDPoqxl5ibjxjKxOfbW7Wd6Uz +jsdmovIVGYd+iLGtyJgCx6gu9gXYzyhm70iP4Fyoh7RXPHWnnOtDbKcytxD7 +27CfXuycWJE4t8cx/3liX2XYfFVsn33AZ4HfKPbYCXCvrNdqhN/OiWtrCN93 +Qh+VdQwVuxpISc53qruUD9nI9gnFEP0L5IXYNaRa0l2WZ/2t7nREcK1NQ9Zh +25UYtMN2AD66oA8Pzp3XkLXM9w2u5fpIB/BniWtzLPYfo3+JTIld06ptxVyx +19hX6A8G18LLyDfga1mjLbZ3YHMN+tVIK/At4KvQBwdzzQTOtir13azPOJd0 +R0fxsZL5P5APmJ+O/erYNT6YuZ8Y6/2/7VDmjjC2tMDfHEN/LJjbZiObwY8E +c9MMZCP4TPZQyH56g0eDJ+edW1WJd2t8d0vMNR2R/uhvJ479XvZ7NOeYKDaT +GfsE/bpgXzWQVvKPj+eYL8RfGfrAnDlNXDZS9YbNabE5VFw6C5mGvhX/u7Br +w3zN2Jwl7jodXCh+Q0rBDRPXZoE4GnwQ2YK+m+8P55zDymWtcanWYg8nxQXs +qQ76DsYWxOYccU9z8CmxY6LY1MbmBPpE7Gug/6QYxOYscdcv4Hdjc5K4qRSb +As56kPUrBOeYck17OoR+iTgwNueKe2UjW+2pnr4FHyj2mqeCY/Ah+cJnA3AR ++A9wFtwY/B3+Xo/dU9RbSsBRbI4V1ypnlDu3EouaFZnj+/26O+yrpeYEccMw +/B1m7iR2+4rNKV/rbKl7S2PwPOUnY3Nic7q4vYxvIu7xFmzuZr4QfJjvi8AN +we2wL4l95ovFp6lzQWfS2RqBM0X+Rt+eA55c4LFz0dezxjLW2sH8AfU6fCwR +PzHWVvFLzE39qYEYfTeyMHYPUi+qnvqsE7CpjL4JubOCa2Zz6hpXrZcilyfm +XHGvfIxmP3uw2Rf7m43BNaxaXo3Pn9G35a3vZH+HcuZwcbly6qngnqveOw+b +pXn3DPWOxeAVefdo9WrdWR30znDXK/iZkvG9qIZUS6qB1uhNkYqxc7RZ4p6o +3qiaKFVs8l7rF/azFz9np74L1aBq8YzUuTQJXD81B4mLFOMN6hV597L/+mXe +PUe9RzEfw3l6sr9F+O2acQ9YnvdZtqPvY3wN9q/G7snqzeIIcYU4twrfN0md +u7pj3bVySrn1DjZr0a8Xn6BPZOxD9DWp5zSmOa2htfSmCcEcIa7Qm6kYPCl1 +LqtnLQ/mVHFrc/zdqLMop4r8htFb5i7w7dj2YGwg+j2pc1ljmmuvHMd3B/Z7 +CfqX4q+s70Z9dQE2f8Z+k81HH5Dal95k/73Ncr4L+ciyn36JuVQ1o9qRT/kW +581Gb5l1j1RvlN8T6jmxOV3cLs4T9+mNMjwx54n7eoHLE/cc9R7dwbDgN4fe +HuKsUcE9UL3wDeRhcA/21yJrjtCdVoIj1mW8ts6mnqjeKI55KLhnqHfMQh4F +35f6LXgH+x2E3j34bamaV+0PSFybfRRP9EHBb2e9MfXW7Ji49vSm1tt6WXDv +68ce/kr9RtJbSRz7RHAPUy8TBz0eXNOq7SPqWalzWrktDj4dvQk21TKO4XH1 +p8RvW73x9dZ/ILh3as1t4srgtVUDqoVNic+qfwT9K9yUOJfECdU0H3w2vYGH +8P3C1L1QObY4dY9Rr/mH7+uiTyHe87Pufarx+xnrVeQ9aq/iOHGd3pj54Jgq +trIZnPqNpbeW3jzL1Bv1D1BoThe3l6ReSz1EvUScJG7Sm6NScE9Ub9SbpDK4 +SurYifPF/UsT157+efTvo56n3qc1aqFfGZxr4iBx0YbEuaR/Hv37/AuQRbBu + + "]], + + PolygonBox[{{2836, 2390, 2388, 1172, 3219}, {3222, 1174, 2312, + 2074, 2835}}]}]}, { + EdgeForm[], + GrayLevel[0.8541200120107637], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNWHlwV9UZfUkgCfe9h2BJ6whVqUIIwrCpQQJCQMBQFGRXEhaxM21nwIpj +fhFMgLZWlB0RJRACHZbIIlakaqAtnamisRXKUii0iMVuFBRaC12M03M4p9P+ +8eae973v3vvd737r6/jQI2NmZUdRdDgrinIwpmkUFYHwVoiiWjwvgz4xxpMX +RZPwzMe3UrzPAn0Qxirwz2gZRSfBezfeM6APwfgi3ncAT02i6G3gbpi3BLzP +4/0l4FUYO+VivRZRVAC+JvAMA70HeHYDnwftKHmx5+t4rsH7LeCfDTwPc4bl +aN9+mHMr+Nvi+7XY9y48DwMPwNgXTwVwMcbnsNYl8LYDHotnMejvY68O+VG0 +KV/fOoI+GPSbMBbiGQHcGeP3MVZi7z3QTyZX+IfAbTBvfCvpZRxkmAG+09hn +FOYsAL4P40rQtwA/AProbM3nXJ6pJEfn6kmZMPbA+AL4ioF7Yd57eIZjTk/I +2Q+4FPQGfJ/TQnrh3CcSjV3xfQ+ey8AfJHon/VtY83XgZuBPEp2ZZ88E3THv ++hrQGoFbAf8TPJdxrvZ4LuL9Zrx/BP4uWKcj8CngrwB/hO+fQobWWbpP8s7D +k9M6itaC/nGsbxnIWhdJ5rl4UtCqWohOvAv7nsX4Ntb+OfA9WKMX5HkTemrM +lf1ljKn3X4CnDDy9U72/6Xt5GvfwE8i0BnuPyhadc2kvX7LNUJ453rdL0FgA +OX8GfAPmJFhzeq7ko70WYd6rebI72inXoJ2NxF51+fKJqfg2LVf8p/F8jqcJ +z/NY8yXwluNcB/F+iOvj/Qr2GIZ5B/B9FZ4G0CaDZxHWexbPdfh2CPSR4L8d +vM8BbwXPg+Dpk6e5gbYFejnGI6AfBr4P/MXgvwSbGp6jvbgv/YQ+Qtow038J +/ntBuwP8R4L09Vfo4Tf0H+DbsOZO6LQWvC9jXA76FeDCRPO2A+8G/avZOuMP +gA8k8tndlou4JJIP0X66A9fEsh/aUVWu7pU+QdkZK14Dz5gs2QP59yXCuyzj +zizd9cJYa9I26fO8kxdxlnlBMh+mHwXJOQU8w4PWfSvRXU33fX2YSqdz8X0/ +dL8Q91qbp/snD210MWjPtJJNdwPPU63ktxtaam6wjXNd2vkXsfcm0D4Lok01 +fXlL4aW2OdpeUVDsYOxhXG3PmAX69bHsPfN/9l9l/BTm1GE8FctWJuCpztY4 +0fF5WVDMOgeei7HiazfQDgbd2W04dzXwGtoIvreHzy7DuZqBl4C+EfQ/MoYB +rwU+Bvw08HrGN+BFwBt4r8DfAV4HfAJ4NfA24AroORuy3IsnH+/PgF6P8UPw +/B06PJ+vWPFl8DWB3gH0TsAXGPeAh+JbDfS1PdJ5GvC04X1DBytaas0L4Psx +7uFSLBscAZ5XwN8FPIW5iqF77Yu0+dPGXIc67pyrfNc1W2suizSu9PpNkPGn +0Mm2PPEWmn9Sqr3eD9qD39pG8mPGpV2R/JVxjL5Du6bP0F9oj/TrV4GnpKLT +F8ekivPvOVcQ0/+mpfIN+vdDqXyA/srYRkxfGJdqL8bOB1Pd70HfAzF9szzV +vowr9CGuSV+bkEpmxlSej7o7wNiYJf239TjPeEWiu1iZKJYctG7POvZRt2tS +8b+AcXmQL9AnGLeYJ+gvXOOs+ecmiq1PYvxb0DfuQ1+hz9B3alPZxLtB9zHb +MXmv42qjYzVptPVTuLtTuLs3QMvB3sfxPTvW/R+3zMfxbX8r5dHeefJn3nsb +2w1tj7R603kO7rMjkrysXZgPNmepbiH9GNY7ka+cMTJPttTV8h00D9fjutQD +7W25bY/n2GvZlntfnn2v51Oe3+EMgxi3E/lTqe3qUehlPt7/DXovPCW0K/D2 +BL4ReDRwb+D+wEeB7wQeAvxn4DsY3/KVI/uAPoA6ipUDmAtOAm/B+u8wz4OW +SZTH52DcB3o78HyWyNd72993gH6SegR9EPM1dQfcD8/d4D/POJCnGoI5uS/o +g0H/A+jFic51NpaP0df64P7LY8XdCoxfiFVvrAZvT/sh6ybmJ+apO2PF6Vvz +NedUqnh0EuMa+8C0RLZwyTmROqVuz2Du7cADgX8L3AO4AHgocBFwAB4M3AX4 +c8wbCNwu0T2Pi+Vn9D36+OPYaxFwjH2/DlwJ/I9EvkEfWYux2XUv61/aE++B +/sf4TV2xVmQ8HmJ/px0OtT10yVMOIP+fYumQumScHuQ4wzg92P7+Qaxz8XzM +IQMdH34fS+fU/V9i7UUbaeua9WiwXN6rKiiPtU7lk5QnP5ZN12TLbplv6IvV +ieZUW+YJzlF8XxHkP5MS+Uq27afKNkZbo4/c7FhQ7TxJH2Xsp89zjyOp4lYH +9xbzHGcmY/2ZGD9O5E9ch+uzxmcdcmOkmNHJcYO+wtp4QaQegvc7MZIet7nO +YW4jnow9N8TioS2s8t6fBsWZvZaz3r5OnUwBf3fYZNvW6hPYL4ynbwXFw9Wp ++qqvRdqXclP+8qA+6mo/laq2GuP6irn3Luc+nrvGZ6edZrwW7Y61PfF/8xDP +9JrzE2msk0ivSHV27l8WqXZkncDY9aNYvkCfYF3LvPtAqljNeoo2wXqU9d+o +oN6La5S4luzvnEjfow9OT1UvH3dupn65Js/Cu6p3fNxtO6a8S1PVZ49jjU1B +eSeOpadmy82cRZujvbG/oQ8yxlJ29mWPAZ9JxM/eiLa3wrGavS7rrDbue9iX +sRalTHW2gUb3Hew/xvoeyMP6kvdyT5Cv7rTMzYn6C/YZ1CP1yfy+wDZHe2N+ +6OccQblm+CyVvkPKPMT99Tcd70nj3DlBsfdMKv2yZmMdwjqYeq8J6kWvnt19 +JGsW2v9M78M9OrvnHQyeE0E57BzW/HWsvMD8wLUHuM75Vaw7ZW653rVrb8w7 +EisHMRfxrCWuZ8rsc9TVTe61+4P/UKyzFyT6p0AfqAjq4WmLE9xbl9kvGOMf +9jv1wBxEXcyy3fMsr8TCjNnUWYF5WGNW+M5oFzdY//tj3QVzJuU8aVkXOR7Q +flgH8/zznfcqfQf/SvS+z/13uWWrcW3DGqeHe/wy9yLd7RePOq+V+5/EMt8p +4/EG+2ax/2OMDorNzA20L8b1jbYx2iLpzBflPh9loD1ssb2xxuvs2pj1Pecu +tp9esczMG/WODxn3zKlzxXrbP2PnCOuH93LZcyk/fYhnoI2ssx0yRs6ynbVJ +FSv4T2i6e2fuw5p3s+VscoymjTI3bnL8YW/GmM/Yz5hX51jB2DbTfsKehHp7 +NijHMhYMdWwqsmzsKct8B+y9GpxXCl3/ss6vjFXzsPbZlsgedth33rFs/BfD +95KgeMS4VJlIduqGPBms8y7etwb5R5Pnzo2F2QNxvWLTWcvzvnhv9K21xuf8 +H2ppUK9F3X7b/0K2Ws+8275eh3VTg/VD/6u1bilLX5/xWKK72+N6rdRyz4r1 +v+CRWLnxFte6h1zHsh5lHUP7/0aQfz3mGEL7WG/7Yexeapu+WjO20D+pN/xP +j7U3/W++fYz9IW1vIdb8xP0d+zz2nFzze+F//RV1Uu0cu925bKP9gvUW/bYy +KB/Shpl/+Q+Fc8enioULHFevcw/NnMF/MdTbxFS9MePXk0G622w7pC7Iy56I +//V4X2NT1THkuT/V+evtv422YcrJGp3nnR1UP1E/TwT5U3fH5IuJbJr/5Bod +j0p99nW+U8aSC/ZzvjfYBvhfgH7xXfAvicXD3vo/YwWwuA== + "]], + PolygonBox[CompressedData[" +1:eJwllm1MllUYx28e1Ofh3PeNuGDZdDVbW1C2QMtKTYUUpFCJNy3FCvtQbWLa +AgRF7EVBRAmTBNSorIRe1vpSW1n0Jcz1oRaGgilFtkpKKNPV1PW79v/w3/P/ +n+vlnPuc61znmVa2rqA84nleMxgHsnzPcwyUx3leJrzSed5O+A2M9aBr0DOj +ntc53vPeCD0vEvO84wme9yFjaaCQsbfwX4x/EfxB8CY6B10Af5L4CnQy+r/A +85ahV6EvguPoYvQa+BUwhD5ITAtz5ZH7hPmCtdgSiB/FnsyaxuCHWMfkRM/r +xZ4d1Rp/JPYE432s76YJWmMrMaP4d4G98Azi/yBfIUiH3wMuwUvB3fDl5DgM +vx//FfAkYt5HV5Hva3QG892FPgoq8J+DzoQPgG58N6Dr4NcTfwU9njWeZR23 +sa7V+J+G94MuUM0BdJBzC9+7CP92+BGQOkFzpJPrcqC9s5zr0cXY34bnMlYC +fwh0oR9APwwvBe+gl6BXw/N9neVWxpbBB9mbAfAR838MTpJzCb8RMIj/+UBn +YXu+EttKxrrheeRYBb/M2CF0tn0ffBE5U+CVjC2EP4LPu/CljD0K/zfQ2VkN +PIF/H3okTjWwFP0YPu/Z2vApg6dgnw1fw55Uof/yZbMzaMd/MSiIU45efAew +z8O+H/08th/Q89EH0C+iW/A5HFHN7Al0hnaW+ehJ6CH8F8AP4r8d/2F0JvpV +dAP6N/R96NfQTehf0FnoTnSjU60d42y7o6q5BvR20IbuAPuYb1KczrgN/jm+ +27B/Fi+fL+BlYENUOSpYUxV1ERKTSv5qdA16InojfCI50ph/l9Uk9iLWc0tE +d7YQHoSqvUb0s9gjjPWjr4Lr4BeiqkGrvUR8NpGzbpzWeCv+p8BYvGLifcVY +7Gm7c5YvUeu29Z/HNgIWYnud+N3Yb7Qag2eBafD6BPUM6xXtoAGeyVgq/Frw +SaC7kwsWED+VmGN2F8EUeFegu2Z3bDb2AafayGb+tb5gPAeUw9f54vYN9i1D +7MeMqGrcar0P+1y7a3Ym6H70vegO9FZ0E/7TIzqDXfD9rDeP9S4nvgT8Hqo3 +2Z4ns7YxX3uRQvwoPBX8bP0D3Aw/QHwSWBFVjjSns7UzrSJ+c6BYO4Na+I6Y +5rS5JgPf194Pg6PEXnDqZdbzLrGWb60HodvIsdl6kdNeDoNPA+11Y0y5bM/t +7k9Hz4lXD0gP1auth7cQu83pLtgdOkPu20PddevpL2H701ddWw1YLWSE6v3W +k/Zgr3e6O3anfsI35qu3Wc9oxtbD/IMx9R7rgefg/0RVi7X4bXSqbTuDJHJX +ONWy1XyInutUW1YjNeTOd+rd1tOb0M849TrrSUfQraH2znrA3xbrdDZWo7XY +c53eAjuzenQJ+vE4vQnN6Kecepu9kR+gS53eyqugEz3DqVa/ApW+7nZPTLVu +dfFloLOwnpVj3+Z0V6ynnPN192cl6C5YD6hzqkWr0e+x3xGqt1sPbsU239fc +tsZ58IFQvdveTHs7R2LaU9vLLWBmqLfM3oi9xNc61b7VzHe+3nR72+2OVGPb +5FRL1oO/se8L9dbYm/iyvX2herv17Db0FDu/mOayd/ZpX73K6ms9fKdT77Se ++St6h1PvtB57Fv2CU6+2Hn4KXcxeTI2pX9udec6pt9sdPWn9jZq7GNNc16Dv +DPU22Zv3Cr6zQr199gbtQ58J9F/D/mMUWX9B98bpjbW39n+XVCvC + "]], + + PolygonBox[{{3069, 2447, 2444, 1947, 3587}, {2909, 827, 2091, + 2021, 3589}}]}]}, { + EdgeForm[], + GrayLevel[1.], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmFuMVtUVx8/HfOfMcOY7M8NFhltrmjRpuVhBaQ03C7Y60ALaERBBbWtJ +oS/FQUqhEVFfkKRSUS4qPIk+CKO0RSLDgCIzDlUHEGdIKTQptVAfTMpFSlLU +pOvH/09Ivp29zjrr7LX22mv919rfNx5e0vzrPkmS/LWUJFUxL86T5JNykvyv +kiTL4kVrjLbgV1UnyVPB3xzPy2qSpLNvkmTBOxXPXZZB9ozpXebvDXpbSd/t +CfrJWOOzoDfFaM+SZHfMj8Y4ZHm+Oxn8N+GFfHfo6ghdr1frmfd/SfR+t3V1 ++Xvor8L+3qC/jHlCmiTPB7010fyc6ZVhw6U+4j0dutZkerc20/OGPtZve/qF +Lz4N53QXktkYvO3W2+s9Pplq7/jgw7D5YNi8I2x+PHRNq9I3m71v/HDIOrD5 +JyFzT4x9QX+QiP4w5kdC15IYA8J/e4LXFmNC8Dti7mTdoH8R40TQC2N+z3xk +5po/J+alscbiGLtinQNVsoMz2es1R4dMb7wfGLy3gh6fSB/rLDG/f0ly8EfF +fGMqfROs52+24du5/Ls8fHYk5sO2k9EddFMim6CxsTbV/veZd9j84/F9V9B3 +59pTl9cZGT6dGqMr7DlpvcivDPlVQf8u5tMxjrL3XOsdtcw3U9nEOpz5L2Os +76N45NyWOT7gbUkUn62Z+COtc0SMSeHDAyX5s6ou1o/nr2rlZ/icF7x3qvRN +bcTDgoiH6dWKuUuORXLoJufR4Zh7Qm6nc+oL58NbwWuJd2uqFUPoJPb2Bn95 +8J8N/p6g22L8Ieix5EuN9PeE3MyYGxLZPNl2t9QqJh+p1X6IBWKSc93peJgS +vvtT0O3hyytVWgec6KzSWtjxheMfO98N3rgYHSEzPPywNtUz382yDdg/zd8u +rxV/bOh5Nteea4J3a7y7KUb8kiuxj5oa2UzukYMNFfnxqH2LLvid7DWVHdjw +90x2Y3Mp/PSdGu0/rZP9D4auImTuduxt8vnjB2zstJ27zW+zzGd+JtdPmT83 +1h7YV/nap07n/p9a2QeNf8GwwzXCsTyV3nZyJ57P1ijHbguZ3wc9JHijg340 +6DTo90NuVlnYwHez/G1t6JtpenrIb65RboCPM8r6jvfQYBR6LldLV99U7+Cf +yoS5x2I8Ec/ngr860VrTHffXcAdsYA97Y7TGaDM9JGTuI89ivBMydameoa/J +gS03ZOIfSJQHj5WFt1+L55eD/nqiuBla0jnuL3SOwyvS02a95EM5RmNJOTAK +n5W0xjavc65W/udMBoTeObanO8ZssCYRD/rtoF/KFT8X47sHg/dAjIOJzmCd +dfENezwSc79Y815/C143l7X2+Vrh7IWYK6lk9ieam00XqXTzbX0mDIQ/JnQM +K2n/DfZJfaJn+McS4Rx1hXx6I+y6uST/k+/DS4r536aSw7esOc7fk1vkGHKP +V1TTV8U8Jpef8XdvIjnWW5GqZhP7I0taC1sGGQvJl1vMv/ae54+9xljn8ji/ +gz84FbZwRsx/NM38Z+PPKz5HfMD8qmV2Wh6Z/qnkkNlekczEXGe1xudFrXvK +9rO/zWVh0oqKYm9Efn1dYnBInMUCn3uTY556cTTG/KA/4txTxQcyo4L+d9BL +E81nTTN/WlY+8Xwm6Bb6k4r4S0PvP2P+l+WJZfIen662PN8ODHvmOd6uVCT/ +q/i2IVPcdlv2rOXLXoPzOR/yp4jjkK/LFHvEaSVTjwGeDE/VB+BPeoF21/TO +kOlwjVzlWCOWDlUkMy3WzDNhETjzrVT1mDo7Ide5vFYR9oBH4MyoXLH0WEW9 +zy73eI22972ge2LNj2PsyIQ72xxn1MjLwRvsGB7u+ASL3jD+MO90PoAVr5tf +H7bdb8wB+1qNRazXaL2NmWTeTTTPs/ywTGcNFnEG8IkFas5DZdUd4mW+v21I +9Qy9r6J4nppLB3vsivl0WWfPuY/1fsi5/pmwBYyhr+HsFibKf/ZKnINxYB1+ +IF5G+rxbvC5rDspkD3YOzZSv4MZCy9AzfmIb4I1I9Qw9OBPuEecMaL4FP/s7 +5ma6twBniEdyAL30TcTLa4l67+Xuv1kDO47Zb9RsMJ4eARofUuOXukedkaqW +43P6pPXuyziHGea3ZKq39Fr0tktNs6fT3su6QjY8U+hMfpQqZ5l/bPrhQmv+ +POZFjvft1jUsu247dIdrJfHJnQW8AcvAjwtBn3cOgv3cl8AecuigfULej04l +A1ay/87kui84J/qLJ1L1ozwPtV7y+4zPFz3nrOtSzJ/HWJcIz8D9DcY8sBvc +e7HQmi8U8tUi7/FqL2i/dZpPn0+NHuhYBGeoc287NsBH/Ebu03/Qe4ABYMoH +xkjij/in9+42fs4z/6jjs9Ey9PYdxhz6ghusl96E9cEP6mY/4xfnMdg2zDf9 +kXO20VhJvXjZdQHbcts5w/T7zq8TxitiY4hzBlwEK8HJnxWKlZ/GvNV3sf7u ++xfbh4t8txrgXrHd94Vmr7PfdY36QpzcY1/tMw4XpunrCuPpbPsdnzebBufp +Eeqz6zbWe338RW7S2xBfFxwbz+XqNccUugOB0eyXeOF+8wx5lKtufWlc517H +WRDjPY7z065d4Ab3oXbz70zV56F3dq671T8q6us2+I7z37JilPjkDscdjHgY +n+odfO4B1HLOi7jGrtX2badzknzt55wFF8Escpz44j7ZZNt6XDvIFdZoMe5e +rSeuNdRIeGAz9W+093vMMuQr92FqxA7nO/wTxs45tvO87b/6P0mmXqjV+q/e +p6pVt8Bq7Gq136g7qfuT49aFTnAOnOBsOrx34g36uGWactXrrvDz5ly17btx +vptyncW4oL+f6l5NXP0mVzxUgv9iLh/eVqgO9nr9F3LVre8Ff3KqmLma17nu ++L2hq4h3F4NeHrznc60/ttDZdBjf1ue6V9wc/BW5zre+kO0d1rUxV+97a/A3 +5OqPbynkx8999gty9RLnQu8PUsmTC02p9ktdftP/E+HPhvj+csivzBVr0NSL +ians2WvMvFi+rueSZTjbUz77LX4Hv9c+x2beoYteZWoqm8m7k/4WG6an8iGY +xnlzxtR8eir+MyHGZjtPqe/gK1jHXvDhGuMJ9+mJtpn8WeO4aI49TuK/kphv +T3XGnC93iB86B8GQ281/IOTuohcp9P5Oy+z2/07YTJwOcg+PnqdtAzh8l/38 +UqH/trbE/FCMafS+hfCM/wuu3duY6VOwcbLjB1wnL8c7l7fan1NS+XG/MW2K +aXrzWf7PYInlwVXODbzg7PAl66Gbc6bP4LyoF5Os945UcUPMbPB/fPhytn13 +b6E4O+d4mG8f3R/z3EL2zCn03Vr7BH802SfUmUGuNdSlBtcmfDPdMUA/12Of +gNN1xm3Oi16KWNjqmsseWWug42Gu6SOua9O85rxCe7uvUK2ouF5QH+/wfjf6 +f0z2Tf3MXUOJuwGuEdS6wa539DX0GNTVXf4vk36dfmSk73r/B6EdypA= + "]], + PolygonBox[CompressedData[" +1:eJwtlltsVkUUhaftf+j/n3OmtIhGI4kxMVFpFVCUyEUpXmhVIFwL9CLypIkR +qrRSFSK++KAiilrER9R4qeIlhlBJxNhilBbUYqJivAsPRigEGy008VtZPqxk +1tkze2b2rL33uXTtuiX3l4cQngQF8FAOkhAehWxkvKEUwp5iCE9UhrAVnMhC ++LgihMOgoiqER5izkfmPM38z4/OY/y3zJpaFsG5cCFfB72P9CONxfB9IQ7iJ ++TeCZTGEFvz14asBtDM+iH0OttlgCfal0XMX4X8V/juxn2Y8DDKthx9l/B04 +gX03fBLz34fvg5/P/ivYfz37t4MPsF+C/SPsn2Gfh31D0WerBR3wXvg2xnXc +YQB+EP4WfAq8kzVdrN1O0DrknzOfKfe3K/Bdzbfj3GU6aMp89zp8JJWOwWvM +mcD+C7F3Yt/BHR6D/4mPCfDl2A/jaxD8iK9u7D3lnvMS4/rUd3sX9GK/F/4b +41/AP/B98NrE30bh5+BHWH8WXID/B+DHsf0Bzub2IV/vgbnYesGViWM6jG0P +/PLEZ/oZ/iH8MvgB+DfwHviF8Ffhb8KXc8a58MXw1fCnuH8FmMz9LwLdjDPQ +yLi+0jFULDtZs5W1e4t+A8X+mUqfWWc/Crax14NFa1JaVEw7S35DvZ3eTHs1 +luxbe37Omt9ZuwX/O6NjrFhv4Xy12LrACOMzoAr7X9h3lVnjJxUv/M0o+ewF +0Mf8usQxHOPsX8BnJY7xGONFqWPTB4awD8LrE8dkRfQe2utv5ZdinTrXpCFp +qY01q+Djmd+NbQ28FV6j94d/De5gfDtYg6+fsB8q+E30NnfBm+HV8B3wVniT +7gZ/Ed6iN4JH+AvwZvhSeA5/Ht4P3yttgfnw1+G7GL8CZsKHwALm3gnWRueg +cvEU6EiteWn/E7ATfnf0XN1Bd5EmpI2Mb9ulTdBWcM7UYLs2+mw3g0PYrok+ +m2KoWI5lrj2f8i4XU3+ui47VfPAl9hnRsVKMFKuT+Py+YA1Ly9dHx6YRfAX/ +F/uvBWte2h/hjY+Bnv9r2DnsxwrOKeXW6cx3UwwUC+WQcklz2uGDnKsA3mH9 +2yCPjo00I+1Mi767aqBq4VR4mrjmqfZNgZcSa0ramh79drcqB+HFzLkgTUvb +Q0XXKNWm3ew3PlpbNzC/P/VZBku26UzSpLTZDxamrjGqNdLQMuknWlvSkLRU +LLqGqnbuZ49V2G9JrCFpqYY3KMM+h5i0Zd5Te6tGR+Y+HZ3bM1UzdP/Uta8b +ezfrX47OTdU41Tq9ud5+HlgZ7VO+Z4Okym8zUHRs9UbrM/eOzfibrFzKndvq +SepNzZxtWtGaUc1pivYtzUv7p1i/v8I5r9zXmXS2Ub5Nxd/Eknuaepl6iO6g +u6hmVONrcXSvWgBfydqG1L1FOaRcupq9R4uOne4xKbfvH/A1FK1Zafc20BLt +Q76kgWdT9zz1PmnkOeUzcxoS1wjVCtV81X5p+B7tnbuWqyarNqsnqjcqB5pT +x0ix2gS6cmtK2tKbrsb3w7lt+gfQv8CB3LVAPVW9tQ5UVDpmw8Trjdy1QT1N +vW1W6l6gmqHa0Zr57dTj1es35f5XkA/5Ug4qF3WnNvZvjo6FapZq15HcWlXP +Vu9uL7kmqxbrn+Q/SAAivg== + "]]}]}}, {{}, {}, + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwVz0dOQmEYheFPnRAsUQZOGDnGxK7rEFGKiMgCdAGWNdhpK1JBsWzDOpaE +5w7evOecL/dP7kLjJH88FhFlfKQj5qYietMRs1ycjOjY/vidG/Yj1N3a+pb8 +xnU+TLC39E35lWt8gJq9qW/IA67yfnKz3+vr8gtXuIyq/U5fk5+5xMXkG/ut +vir3eY93UbHf6Ctyjwu8k7xlv9aX5SfO8zZK9it9SX7kIf4x7z8vOcUP3HHv +ook2Wsi45dzOvHGKC5xj0fbj9otPfGN8JuKLJ3jIWR4BPBww8w== + "]], + LineBox[CompressedData[" +1:eJwV0L0uw1EYwOHXYNEPDDaLTU211sLERCLE0DKYdNFW4q91D6zuQJAmBhFJ +1dbWBZQVV6BGn0kfwy/POe/JGc6Z2a2s749ExJb6mYjpdMQD82MRZ9bzTFIR +57y0L/CCC7xik/dcZItLbPOaPS6zyxU+8oZPXGWfa3zmLV+5wRdu8o13HLDI +d5b4wRa/uMdPlvnNNn9Z4w8P+McO0951yBQTZtjlOOvMssEJ9njC0/877iea +NZvyFznW7Y90rIbmzKrOaippW6PZiB1OcggS3zMJ + "]]}, "0.8999999999999999`"], + Annotation[#, 0.8999999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwVzb0vg1EYxuHHSmthKhIlrZqqlpJQLe1goUFsFmOHGgxNNDFbJAaMjcRg +9Q9Iutk6+1hYzRKr6wx3rvf8kvOe/OnZQXcsItr2NB7Rm4hYZY4zNmtzmYg+ +N/R55m0hqV9yWy9yyUq2qF9xVy9zxSpW0K/Z1qtcs/V0T7/hsb7Jmm2lf+kP +PNHrbKS3bFl/ZkffYdNaVtZfeK7vcT+9ld7Xh+zpo2zEoe8jm9Z/nN/0AT/s +096dv3jBR/b5zVf+8Ze37t7ZvU35V2Yy4h9tuCSy + "]], + LineBox[CompressedData[" +1:eJwNzTlOQgEUhtGrdqBUkkjpElBxWoVxCfZAa+E8jxA1cQUuxg7EEcQJBRTt +3ACnuDn5/vde3vhScbEwEBELbn444i8ZUU5E9FjiL+fsPzzVXZ7wm7P2Do/1 +F4/Y5oz9k4f6gwdscdr+zn39yj2+MWd/4a5+5g6bnLI3uK2fuMU6J+2P3NT3 +3OADJ+x3XNc1rvGWWfsNV3WFK6wybV8e8Q+d1wVXdE09xEGXcVc6yWteev+f +Z749dxdu1LOxVEQfuV00dw== + "]]}, "0.8099999999999999`"], + Annotation[#, 0.8099999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2565, 3373, 3374, 3370, 3372, 3371, 2564, 3368, 3369, + 3365, 3367, 3366, 2563, 3363, 3364, 3360, 3362, 3361, 2562, + 3358, 3359, 3355, 3357, 3356, 2561, 3353, 3354, 3350, 3352, + 3351, 2560, 3348, 3349, 3345, 3347, 3346, 2559, 3021, 3022, + 3018, 3020, 3019, 2558, 3016, 3017, 3013, 3015, 3014, 2557, + 3011, 3012, 3009, 3010, 3514, 3516, 3515, 2556, 3444, 3445, + 3443, 3447, 3446, 2606, 3067, 3068, 3064, 3066, 3512, 3065, + 3513, 3607}], + + LineBox[{3384, 3224, 3225, 3131, 3132, 2566, 2536, 3243, 3244, + 3135, 3136, 2568, 2540, 3261, 3262, 3139, 3140, 2570, 2542, + 3272, 3273, 3141, 3142, 2572, 2544, 3286, 3287, 3146, 3147, + 2576, 2546, 3297, 3298, 3148, 3149, 2577, 2547, 3313, 3314, + 3150, 3151, 2578, 2553, 2993, 2994, 2886, 2887, 2579, 2554, + 3006, 3007, 2897, 3537, 3538, 3507, 3508, 2580, 2555, 3439, + 3440, 3438, 3442, 3441, 2599, 2923, 2924, 2901, 3530, 2902, + 3509, 3510, 3511, 3600}]}, "0.72`"], + Annotation[#, 0.72, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2537, 3227, 3228, 3226, 3230, 3229, 3385, 3246, 3247, + 3245, 3249, 3248, 3388, 3264, 3265, 3263, 3267, 3266, 3390, + 3275, 3276, 3274, 3278, 3277, 3391, 3289, 3290, 3288, 3292, + 3291, 3394, 3300, 3301, 3299, 3303, 3302, 3395, 3316, 3317, + 3315, 3319, 3318, 3396, 3567, 2793, 3496, 2794, 3568, 2792, + 3570, 2796, 3497, 2795, 3569, 2797, 3556, 2717, 3493, 2718, + 3557, 3577, 3580, 2801, 3211, 3212, 3213, 3597}], + + LineBox[{3560, 2587, 3408, 3159, 3338, 3337, 3407, 2586, 3406, + 3158, 3336, 3335, 3405, 2585, 3404, 3157, 3334, 3333, 3403, + 2584, 3402, 3156, 3332, 3331, 3401, 2583, 3400, 3155, 3330, + 3329, 3399, 2582, 3398, 3154, 3328, 3327, 3397, 2581, 2811, + 2808, 2823, 2822, 2829, 3153, 3152, 2898, 2806, 3099, 2782, + 3467, 2799, 3466, 2798, 3468, 2800, 3097, 3096, 3326, 2676, + 3490, 2932, 2933, 3477, 2802, 3214, 3215, 3216, 3614}]}, + "0.63`"], Annotation[#, 0.63, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2755, 3087, 3531, 3086, 2893, 2672, 3004, 2754, 3085, + 3084, 2892, 2671, 3003, 2753, 3083, 3082, 2891, 2670, 3002, + 2752, 3081, 3080, 2890, 2669, 3001, 2751, 3079, 3078, 2889, + 2668, 3000, 2750, 3077, 3076, 2888, 2667, 2999, 2749, 3457, + 3458, 3454, 3456, 3455, 2831, 2597, 3186, 3185, 3188, 3187, + 2598, 2997, 2998, 2995, 2996, 3583, 3585, 3584, 3610}], + + LineBox[{3540, 3102, 3518, 2611, 3231, 2612, 2936, 2728, 3070, + 3520, 2621, 3250, 2622, 2940, 2733, 3071, 3521, 2627, 3268, + 2628, 2943, 2736, 3072, 3522, 2634, 3279, 2635, 2953, 2740, + 3074, 3523, 2641, 3293, 2642, 2958, 2742, 3075, 3524, 2647, + 3304, 2648, 2961, 2744, 3464, 3465, 3179, 3180, 2594, 2833, + 2595, 3182, 3181, 3184, 3183, 2596, 2921, 2922, 2906, 2907, + 3588, 3599}]}, "0.54`"], Annotation[#, 0.54, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2729, 2937, 2613, 2845, 2846, 2847, 3103, 2941, 2623, + 2851, 2852, 2853, 3106, 2944, 2629, 2857, 2858, 2859, 3108, + 2954, 2636, 2866, 2867, 2868, 3110, 2959, 2643, 3533, 2874, + 2875, 3090, 3561, 2773, 3485, 3544, 3545, 2774, 3550, 2649, + 3489, 2650, 3551, 2745, 3573, 3574, 3209, 3210, 3590, 3595}], + + + LineBox[{3118, 2991, 2663, 2989, 2662, 2990, 3117, 2988, 2661, + 2986, 2660, 2987, 3116, 2985, 2659, 2983, 2658, 2984, 3115, + 2982, 2657, 2980, 2656, 2981, 3114, 2979, 2655, 2977, 2654, + 2978, 3091, 3437, 2775, 2918, 2919, 2920, 2779, 2817, 2816, + 2840, 2723, 2826, 2747, 3475, 3476, 3207, 3208, 3592, 3594, + 3605}]}, "0.44999999999999996`"], + Annotation[#, 0.44999999999999996`, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2552, 3308, 3309, 3305, 3307, 3306, 2551, 2974, 2975, + 2971, 2973, 2972, 2550, 2969, 2970, 2966, 2968, 2967, 2549, + 2964, 2965, 2962, 2963, 3504, 3506, 3505, 2548, 3433, 3434, + 3432, 3436, 3435, 2605, 3062, 3063, 3060, 3061, 3502, 3503, + 3593, 3612}], + + LineBox[{3386, 3232, 3233, 3133, 3134, 2567, 2538, 3251, 3252, + 3137, 3138, 2569, 2541, 2945, 2946, 2860, 2861, 2571, 2543, + 2955, 2956, 2869, 3535, 3536, 3498, 3499, 2573, 2545, 3428, + 3429, 3427, 3431, 3430, 2593, 2916, 2917, 2876, 3528, 3529, + 3500, 3501, 3606}]}, "0.36`"], + Annotation[#, 0.36, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2539, 3235, 3236, 3234, 3238, 3237, 3387, 3254, 3255, + 3253, 3257, 3256, 3389, 3563, 2784, 3494, 2785, 3564, 2783, + 3566, 2787, 3495, 2786, 3565, 2788, 3554, 2715, 3492, 2716, + 3555, 3576, 3578, 3579, 3203, 3204, 3604}], + + LineBox[{3559, 2575, 3393, 3145, 3282, 3281, 3392, 2574, 2810, + 2807, 2821, 2820, 2828, 3144, 3143, 2870, 2805, 3098, 2781, + 3462, 2790, 3461, 2789, 3463, 2791, 3095, 3094, 3280, 2637, + 3488, 2930, 2931, 3473, 3474, 3205, 3206, 3591, 3613}]}, + "0.27`"], Annotation[#, 0.27, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2738, 3526, 3527, 3525, 3073, 2862, 2630, 2951, 2737, + 3452, 3453, 3449, 3451, 3450, 2830, 2591, 3176, 3175, 3178, + 3177, 2592, 2949, 2950, 2947, 2948, 3581, 3582, 3609}], + + LineBox[{3541, 3104, 3519, 2614, 3239, 2615, 2938, 2730, 3459, + 3460, 3169, 3170, 2588, 2832, 2589, 3172, 3171, 3174, 3173, + 2590, 2914, 2915, 2904, 2905, 3598}]}, "0.18`"], + Annotation[#, 0.18, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2607, 3558, 2719, 3484, 3542, 3543, 2720, 3548, 2616, + 3487, 2617, 3549, 2731, 3571, 3572, 3201, 3202, 3603}], + + LineBox[{2809, 3059, 2722, 2911, 2912, 2913, 2725, 2815, 2814, + 2839, 2721, 2825, 2734, 3471, 3472, 3199, 3200, 3602}]}, + "0.09`"], Annotation[#, 0.09, "Tooltip"]& ], {}, {}}}], {}}, { + DisplayFunction -> Identity, DisplayFunction -> Identity, + Ticks -> {Automatic, Automatic}, AxesOrigin -> {0., 0.}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines -> {None, None}, AxesLabel -> { + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + FrameLabel -> {{None, None}, {None, None}}, DisplayFunction -> + Identity, AspectRatio -> 1, Axes -> True, AxesLabel -> { + FormBox[ + TagBox["x", HoldForm], TraditionalForm], + FormBox[ + TagBox["y", HoldForm], TraditionalForm]}, DisplayFunction :> + Identity, FrameLabel -> {{None, None}, {None, None}}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLinesStyle -> Directive[ + GrayLevel[0.5, 0.4]], + Method -> { + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, + "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + PlotRangeClipping -> True, PlotRangePadding -> {{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, Ticks -> {Automatic, Automatic}}], + StyleBox[ + "\"max(y, 1-x)\"", FontFamily -> "Helvetica", StripOnInput -> False]}, + "Labeled", + DisplayFunction->(GridBox[{{ + TagBox[ + ItemBox[ + PaneBox[ + TagBox[#, "SkipImageSizeLevel"], Alignment -> {Center, Baseline}, + BaselinePosition -> Baseline], DefaultBaseStyle -> "Labeled"], + "SkipImageSizeLevel"]}, { + ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, + GridBoxAlignment -> {"Columns" -> {{Center}}, "Rows" -> {{Center}}}, + AutoDelete -> False, + GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + BaselinePosition -> {1, 1}]& ), + InterpretationFunction->(RowBox[{"Labeled", "[", + RowBox[{#, ",", #2, ",", + RowBox[{"{", "}"}]}], "]"}]& )], + TemplateBox[{ + GraphicsBox[{ + GraphicsComplexBox[CompressedData[" +1:eJyEfQVYVM33MHa3YreYiNjNsQO747W7u30t7FawAxURRQykBFFppGMXkI6F +LXbZxW79lrv3zPxn9vX3+fA817P33okzp8+ZuS0XrZ+8tLSZmdmkmmZmJVf+ +n32b0YY/D2DhYAJn+Kw1/EVz9yUEFm5npBA43fgDgc8Lz8sI3LoEtC8gsLfw +uILAI4UO1AROE9rTEHi1MKAiAvPz+O9rMIFxPux9CYFxPgjjfBDG+SCM80EY +54MwzgdhnA+L92IOpuvw3/OgV3Y+wdx8grn5BHPzCebmE8zNJ5ibTzA3n2DA +9WDpppiDKR399zrQefBXnA/COB+EcT4I43wQxvkgjPNBGNcDYZwPS/fFHEz5 +4L/pKNhk3Ox9emXXR8Ktj4RbHwm3PhJuPSQcfUm49ZFw62PKx//NB8EmeOfH +jTB/xfkgjPNBGNcDYZwPwjgfhHE+rNwp5mAqh/6bj4NN6IbHOz9uhPkrrgfC +OB+EcT4I43wQxvmwcrMYeDn6+0/JvxwyHxYOJjDOh70vITDOB2HsB2Febv+3 +3As24TOeTvl1Rhj7QZi/Ij4RRnwijPhEGPGJMOKT1TvF8Dc9hPPj5R4vN3i+ +49cdYZwfPw+E+SvOD2GcH8I4P4RxfqweLYa/6VWcHy/HeTnI8yFPxwjj/Ph1 +4eeBMH/F+SGM80MY58faBcXwNzsB58frJV4u8nKF50uEcX48nfHrws8DYf6K +80MY58faOcXwN7sH58frKV7O83KSlzMI4/x4vuHpjF8Xfh4I81ecH2u3FcPf +7DhcL17v8nqLl/u83EQY58fLAZ5veDrj14WfB8L8FefHjpe364L/YkfwepjX +Y7weKObkNC/XeDnA8w1PZ/y6FJvMi78ax+tErrieCK8R3s8i90cJ/8kzgfG9 +VsJ4teQ+i0cnYO+jXaLj7H86LrxvxLM/GQ/C2D/C54T3CgnM8hm9/9906k/G +Z+w3XFwfJYFZuUPv83yM97E/47wSxPHLCcyuJ73Pyzm8j/0Jt+2TRHrKJzDS +C3+f1wN4H/sz4jGN4BNhpEf+Pq8n8T72h+v0tytvN+DvbP95ZD3wPsJ4H+kD +7yPMz4Mf99/miePC+9guzgvpE+//Dc9/WxfW3swn/fN0wdPB3+gG+8P72B9P +tzyd/o2usT+8j/3xfMXz0f/mu2hyH/vj5QQvF/63HAkm97E/XHderrByrZjI +Gbz/tysvh/A9pAe+nf8eN48Xind+XXm64fUEzz88X/J8z8sVXm7xcpHXE6zc +1XN6wZ7Djz25GvvNJrDxkmsC/7e8tyf9YTsIs+8Vm7SDz/FXftzYLt8/+3sx +eZ+dL11/XG9WH3qQcRnx50PaRRjxjO2MEF4sIs/hfWwX72O77LyKOTy5cc+5 +ifSnI88hjM+xcjOc0/fBnJwN5+ZL6RvfQ7pi5byG67+QtIPPI4zP4/jYdQnk +5utPYOPzoYQf8D4bF/AX+SSTrAfyG95n/WC0N/JI/6ycD+f84nDyPI4HYb4/ +xJ/xdxl5nr3vxMEe5HlsD+UNS590fVh6pvPD/nDc2B/iD2FWDzlx8ovex/ZZ +PeNP6Bfxx8rrcCKfWPpK4/ApJzC+j+/xV3wfYVZvox5TgDD9Nokc/hI4+Z9A +5olyFftHGJ9DGPtHGOkdYewPYewPYX4d+HnxVyO+88V1TSf4/+91NOVz1v7I +MuFzdl55HF9RPmDtmTxOj+VzdqGcwDhehBFfCCO+2P50JnzC0yFPNwgb2SaZ +0AGrV03pnKdrftz4HsL8FefD8w3rFwSClzCwQhO6wfXh5SwvR1n7SsfZHW4c +HyaY0CFrV6dxdrecwDgPhLEf3m/i+Yinc4R5O55fZ3YddUQ/oPxDeSj8/Oet +OF+p2K6czJu3L/B9bI+layVpB9tn9YqUs7dDTcaFepaVL1R/IL+y660g+oKl +O4RDCP38txxFe5TKSVaOmJmxcsGD8ytQf8jJfdYPwLi1ktxn/QAnLo7lRPDA +4x/pEmFsD8fNX1l9lmCiB/A+O79gjq+DOT4MJnTF4814jeb6i+boIJqzH6I5 +ORQtrr+KswfUBEa+N7YbydnfVC/z+sh4lXB2bAKHLwn3noTDj4SToxJChwiz +8aQEzk9IIOPlx2ccf8pf6DCB3Gf1PY1PIJ+h34J8guNBGMfD6uNiE33K5n9M +7QzW30ow0Y983JyXyzzM5p+cODkXTuIMOE7sD2E2DpFGYKQXtGNZ/FK5wdul +rN2XxOV3eDvTyST/wNvJeB/b5/MlrJyTEZiNg+RzeYl8Lo6fz8W987k4MY3H +8ONn6cifi5eEm+RD2DhYngnM628cJ7bP5xfweRYvSi7vouTyFMr/r57l5Szq +FT5/wNoDKSZ0ydolOSZ219/sMMQ/a78Um9gbfLyG1bPRXJxEwtkPKX+N+/Fx +PsQv3kf8Ioz4RfhvV2yP1Ws6Ez2B42efl3D2TJoJjHhi87Y6jk91HF/pCB3w +MLbH5lF0nH7g87xOnH3hBqy/aM/5u6jvNeR5Fi9OZF2xP3YcweR5pFPUf8iH +KM/WCb/HEv3DwyiXUZ+ifmDtqFwC4zxY/s4j95Gv2fiMjOhhtAMRZvuleh3v +47oIPxv8SpwnP2+EWb0RCTyeeZi3IxGvLF3S+M//7ofat2w8RMbxl4ysAzv+ +BJN15O1oHB+2j3SI7bHxSIp3hHm9ZYR9OHr1IPax8X0/cf4y0c8L4+wo+rzx +OS9OjvF5THvyHs4L15+F9QTfCBtfD+XsF2rv8e2g3EO++e84Bs1r8/49Xx/y +tzglPsfrNz4vzOsfXr/x+oHPT/Pyms+/8vKXzwcjXbN6W8fZt1TOIYx8gFek +J1wfNr8aSOjByLdBBC98XIDNG6UR/CDM2htuhH5w3Ngfaz8HmsgRhJFu+TgM +b8fh/JCfETbSfzLHT2hvy4kcZOta0v8aB2DrijSEr9G/ZuWIqR5k7Q4dZ7/q +CczSO/VLWPtTajJvjIOxcq2AxAVQjyAeWFhnYgewdo6OXHG8LOzG+ddZRA49 +F9qLE8evJvjC99j8sxsn1304fYvyC/nERZwn0pc7kS+8XcjSu8YkboFyx0jv +GlFOvxL71xL+YOVPJNEDvJ5A+YbzNq7DG7E/zDNGmehltn4snawzr6eQnhDP +xnYwLorxIxpf4eUswkgfiG+EefmA+EAYn2fljA+hK3Y+6eR3lm78xfVSEX2F +MOKL91vQLmHXT2miX3i7BsfJ5jfcyHyQfnBcSM84L1ae0fwI4h/xg/3iurJy +FPV0Fid3E4nc4+085B/EC/Injgvpn9fnSI9Ib8b7MVwdVDYXx80i9M2OW03o +j/XjMZ9D7Qk2/+NF1o+N2ypIe2yeTMnJWSWhH1x33i5FGOmDjSPncvaSE6dn +w7n8YigXFw4lcpQdZz4ZP+vXZxJ8oD2GMOKL5R8X0i5bb5jJzTefo0eZCT3y ++p+Vl6b2Iso79KNwfAjj/Nk6ukyu7iyTPM/DrN5QkPVi86AKwg/Il0jvbFyA +xnXYOL6ZGbbDrlcmaT9VeA/tWTuRL/SEPlm724fQD+IX9Y2x/+vi83oiL1i8 +BRK+QxjlP8o3I30VEvmP/aAcwPdQDuO8kA/wOZZ/1OQ+rj/SvxGWmuTheb8X +6Zq1UxSkHT4+j/SJ+hPlFa4P6x/JCF6xn7/ZUXyeHp/D+3jF+4gn4zz1XP5C +T/Qg8iHi3fi+ivTP6rlYIm9Ze4LW6eJ6svEj3v514vRLILGnWT88jbPHqH2L +8oi3L1n7UWqSN2LxZ2pfIf2ivcPbR2jvIP3y9g7iEfUfb68g3tn18efmGc7x +N9oRqGdQrsWJz6lM9Aj2i+Nn1yHaxI5l67ycuLiGm0lck9XLgVw+je67wPmw +6xppEtdj9XcK55+mcXZK+l/5kteT/D4Otk4qnasboXkbNi5imsfB+zy++fp7 +Ni5H/TqcHx8fZeVsMIGR7ox4pnU0fP04qwfciZxHvmHriNL+mrfB5xFm84H0 +PvqNxt+x3lHO+eFUX+DvyD9IH/i+ES4g80W9gPMx4kPLyTEd0T9o9/mIdgTq +N3yOb4fth8JsXB39kXxOblKYjcsEcvtInAiecJ1ZOrDn9qH4c3gN5Px/Hy6+ +Se0zpFOUVyi3kS4QRnzg8ygH8D7il9XbZma47jhu43CSOXxJOH9PysW3pGR8 +7Ps6AiOeUE6i/uL9J5T3yC9sXCSU0+ce3Lr5EP7m44zYDhtXySX32fotGvdi +65ZN9TzCiE82D23P5VlpHh7Hy9uNSCeIN1Y+JYvzw/ZTCIz9s/krexO5ztoN +bmReyCd8fQqrJ6TkeXZ8NE6Jz+M683Yb72exdoe7Sf0KykPWz9MQ+5CNR0vJ ++9g/wiiX2DxyKKFTVv6b8g22jzCfp2TpRkfokG1fTt5H+cjLW77ehK3fDSF2 +jBH/YQRGemLn50XkNPppCOP6Iv3gOLAdlm5wv4eK8CXSF493pAscB8v/egKz ++9Co3GP5ktb9YH/8OBHG+0jfaAcgfWG/LD2kEBjpCceJcg9hNr9mz/mXdpx9 +d52zh9F/05F5orzm6RDxy9M92gnG52NM+JK1o3K4/KOM4ION62cTu5b1WxUm +ch/xw+Y5EojeR/nCjiua4083zr4JNpk30jPKI94eQvpFecHGVfWc3tATvkE/ +h4dZfVtI8MvKwRjCD4hnNk9C9RfSE9qnPF/gOJH+EGbteT2XZ9ATuw/xgnhA +2Ph+AbFf0P9H+4mtO8G4Ku53kRF5i+uZKVzjxXbVpB1Wj+nE/p+J71GY1QNv +SDvG/iNIvA7pxPg86tMocf5qArN5xVfEbzK295LAxrjKayLXEB8YNzauo4L4 +Wcb3wjh+djKRK/9t5+s4vUvjL2x+0Y6rz3Yj64N0jDC2b3zOn8CsPPQx+R3p +D+mfr4th8+uBnF1Cn0c+RzwZx0VhlAs4P9aeLCYwymF83ohPjF9KuHg3rQvB +53m9zupBKbefII3wK+IBYTafF8nVJeUQfsD+2boeDZGf7H4/GSev5CZ4RZjf +z83m5d3+6pcj3lm/KoXIYz6OzcfJWP/YtK4O8cjmhSjecX0RL3xcCq+8v8nT +BZsHoX4JG0/QcXE9PRfvoHFbxBPLJ26Ej9grrVPE/ln+jjTJz6E8NfYXzrVD +61JxfZFf2P1iNI+PMB/XxPZxXbB9hLF91Bv4O/u8hMDYLj7P1xmyebQkMh58 +HvHM98fXkSKM/bF2vWkdJbvvkupJlCcon1FO8fUMCOM6oR3zt7p1vq6Krytn +76dz+sC0jh/5C3/nr2yelO5j5fc9/a1un6W7RJN1QJiVK8gPLsTeRBj1Ecop +1HvG9lCu0fwprodRT6M+TefinD5kHRE2PpfK1eOkcvo5kuhPlm5p3TDC6K/h +8wjjurP6mI+/+HN2fBDXTzinL8O5eYRy84zkngsn8gNhlG/4PsJsfXcg50fS +OnP8nb/yfMW2m8fJE2q34Xqz8SAZaY9fBxwf6gF8DmFWHtP7uC4s3bwl/i7L +z24m8RxWLtE8FsL/vc+PzpvdlyghMI7T+B7NB/1tX97f9jGxdWj0ys5PxsVl +aB0xu19XTp7n8x5sXRGtO2brqJXkeTZeSO0TPs6AMK43H2/i41P8fid+3xZr +p9FxsfF6uj+Kv7J19HLyPBvfp/lunCfaLey+ilwu7mZaN8vKax1px0gPes5+ +knP7reScXSkneMbxsnhXcvVwpnlChLFflFO47my8Jpcbd55JfArlOysvPTj5 +yO/X8eDitW6cHcjnKZwIvtCeQvpBPkY5w/J1mkl9HcoZHAcrr3w4+ehvIg9Z +uSvj7Dh7IgfYcdP7fLybHbc9GQ++h/KR7V/KPUfr0rB/bJ+1l6ge4/UcW5+V +ROQdX7fPx8cwroPjQBjjQ0Y4g+CXrQOSmsSx+LwGfx/nydsVeJ+Pv7P7IOh+ +DqR7lBvsuT/5hN54+fU3PxbHy8oLOcf/CnKf3S+g4viZyh28svsJVFy9Bd1P +wedB+H0drB9F6wawfYTZ/rUmeR02b0rjz2gP8nhk8096Tn+hfNEQ/sb4DvIv +wsb3Q4gcYu9nErnF+he5xA4wrhOFjddcTs/LTOIGyI9sHCGKxBEQNs6D1uOj +v4z8wubxgwmM88DnEca4FMpbft8eG4+MIng08vUbk3g8v28CYcQ7vw5Yh4ly +k99Xz/upGHdi6xaLCF7RPmftEj8SLzOO+zmXz7Un40e+M8LhBI+8nYvrhTDr +X/uT+BbSE8Zb2fcSCF/herLnjEgIjPfZerUcwncsXSo5O09J1hX5jq1XV5n4 +bbweZ/1PNdHXbByK5gnxiuuJ7bP8rzXJ9xvx7sLlv2kehK1XpPXrmLdn+Y76 +vTgfNm+g4eJGVJ8gXbKwzqROiZXr9IryBGFsj5Uv9DwdI35QDmI9MoUxnmwc +7xtxHvnEfzVeU0keDPGJMPIH4pW1+124+LIzgY1XV84/TCHyBvU70j2bh/Hh +/JNoQpds3VEekd8s/eVz9WU53H64bBP9gvKejTPqOfvFg+CDpTsa58T7KHd4 +vYjjQn5g625N6wLYemkal2H9PDlXb05h1u5PIXyN/bD100lkvHif9SuSOD7K +I3SO9XT4Hq4Dvoewcdy4v5/uR8B5IMz6V2gHms7L2H4Mqd9j/Ucfbn+BP6l/ +QT2AMCuP5ZzclHN5dP6csnxi1yPM132x9EzjNHy/eJ+XvzgfNr7uQ9YB1xf5 +AvGI/Iow0ifKE9buDeH8Gw+CV1YfUZhd12ITPcvGHaLJ+BAvrL6NJOND+cPW +oXiRcaF8Rz40wnZc3NuOjAfxbJwf6v1AMj7Um+x+UKmJX4D3kc7xPsJ8nRnS +39/ynn/jczYuXmxi1/J5gP+Oo8u4ODr1wxDG51Gu8HSOz7N2cQrhP6QrpFe2 +HtKJ5GNRX7B1IC6cX+BP/DOkHza//8pkXwyrp+n+Vh7G+aK8QjpDumPrQKO4 +PHi0Cczmi2KIfczva2XPqwwk7aB+QLn/3/teo4l9gf0g/+E6sflWCbcvxLQu +gbXzJWTc+DzKd9RL7DkP2QTfbF6Q7qtAmPWPc038F74ul/VXo0i+oY1oL/B1 +NSwegrh583X7Hn+pn6L1FSzdod1E83/8PmvWbqB4xP7YOoRn4vtFRG6ychzn +Q+tY+H3g7DkfMRxdeHH1HZ6cnAs12dfCPh9C5CTiD/kX20d+RXmBcQ4+TsTq +FzfOXgo0qStDPOE42P0ZwcR+RDrB91h7J4vcR/pl4wLhhN7xfVaeZ5H7fB39 +/66To3UprD2r5+zdJO55KWfnZJH72D/eZ89TzyR2E+tf0HNUkU4RRrnKykEf +0h57/qKci7vSume8j/PD+3zej49Lo9zgz+Nm/cI8E/uXPd863WS/tHEeOsIn +fP0g6ycrObs6m+gHhNl6BlrvY1y/BK4OKoHTFwnEz0I5xvan4OxrBbGDWbtP +yuFZSuxeVp7Tc3PYugknTo7SvAYPs3zuQcaHfIv9Y7sIY78o55FP2ThbIBeH +9ufsD9O8JJ+3ZONb/pw8fEXiIqw9SfPtbHsSAiMejdcCggd8D2GkH5QjuJ5s +PpPWg7N1RfZkPGwcVcfJx+ucfXmdjINdRwnn10gIXeC6sPiSErpAOkO6Y/c3 +5RA5Yuwnl8yPPRc7hsQTUX6y9YshnB3hw+krL05f0fMrkM+M8u455weEEnwg +vaF+QDpAGOkO9azx+UDOLqF1w+y+SjnBA/aH9Izwf5/rreTiu3x8Vk1+Z+ma +xkvQ3vgl9F9I7IWzwgP8OV4JHN1JyHqz/EnPNUD/GeeJeputI7M3sdtZeyGJ +8D22jzDrV9J6XXZ8pnXh2C7SGVsvoiD6A2E+z8B/p4D154tIfSOuH7ufKJH0 +h/VjGM9GeuHrFFDO4fvIP+g/svW+uSb5WDZ/ouXOFdFw8SoNNz5ap4B0gDDi +H/tDGPtj9w2FkP4Rxvihsb1gzs71J3KNrVuKJHyEfMfX6+H4cX1RfqIcwn0a +yGc4bqy3MeItlcB8vRTSKb/PlZXD9Pxptv08Dk/8eU9Z3Hdesrk4RyDBo5Ee +0F/Qmvh1iEd2X9Irk32WCLPxh2gyfuQfvo6D5VsPTh66c+vtRujBiEYXzp51 +4fwm6hex8yzk8FDI8R+Fje2mc/5gFFe/GUvaRX2D/IgwygO0w1g8Ur3D1jH4 +EznMjwftPhwPH1/8W1yVHZ+cwwutk//buRTId/g8u06FJvNAmMWPF3mezWe6 +EX5CGPkH++HpmLfb8Hl2XjpOv+g4ekR9fumvcWWEWbtXydmb9BxU7AfHzdbV +25NxoRxgz4lxIf4s8hN7rhCFkf7ZPJeWwGzdrjuR24gf5CfkF+PzVJ6y9pbp +ORFodyDeUf6gnMPn+StfH8bup+XzhiEmcWT2XAsvMg+E+XP2+XPl2DpHWvdg +vI98bsfZP/R7A7zfw8odCSdHEk3kDFsXksvV4+YSumPj+/w+WjfSLq4nu+82 +kJw/gfKIP0eFjQP5EHmD+WOU4zhflB/sfuFgzn7H/Wv0XGE23uhF+sd5s/Vj +yYS/kN7Z72HkEnrE9eC/G4XzYeMxHpxdH2oSR8P2+fOp2LpeiYn/xuZV8ji5 +5k/iEDgulBcIs/IikJMn9Fw61p7zIHYA0i8bP8DvBKaTdcT2kU5Ze0NiotdY +fziF8zNTyPsIs3Kcfs8Rx4nv4332PJwM8j7ap+z3+TJN7CI+D8PmY/I4vyeP +o7M8k7pulj5yTer2+HOq+DpStu5cZlJXyZ+TiHhn90nLOP+sgOMveg4X0hn/ +HTQ2jl9sEs/iv7eG8og9z5Z+j47N89D9r+z+0WLCD+w+RHruA+KRPy8O9SAr +58OJnYJyjD9XCuUM6mXWLqHxKaS//15H+t0UHD+rn3K55/JM2mHPRTI9j5St +b6bfj2Lpn89P0XPHcV5GPEURewz5iYWpncvudy40sasR77gOOC/8HWGUQ3y/ +bFyKfrcK5frf8IDtsno8l8hBhHHd+PgFm88LN6Eb9Edw3Hwenc3zopy9TvQF +6j/UD8b50PPckB6R/th9XPy+fXpOmnF8SDc5HL1QvxHj4tgOtov9sPo1itOn +YWTcOA82T3GdzJvdn4jfVcol9g/C/HvG3+05GOUxhdkr//0oD3K/jWgXsO34 +cXWFvD7P5ezXXM6fzOXkCx0P8gHbvgv3nhuhE/ydteNzOTs+l5MXoSZ6ip1/ +MGcX5RK6ZdvXmrTPy0fj7wnA+oGJpD3EL8Lsfh4ZibMhjHSIdhjKLXb/QBrR +Eyxe6fcvWP+K7tdGfOO6opxDu8rI92+4+nMaR8b5IV2h/MH4jLE9KRk/wqx8 +yCN6i/Ur3cm6sn4v0hGel6Hg1suDWw/qZ6O+QvmBeEL/idUrNE+OeEW5jjDr +R9D1MbaDeJeS9tk6lBjOzgsS5bOGxG+N92m8H+UMwrg+uL7G+y8IbMSXJ4GN +y+xN+ILfZ8brBd4O4b8jwNahZXH+nozY6Qgjftj5pBAY/Q72/RTOnksn8gfx +ivIHYbYeMoPIC4RRXrJ+M4X5cSOM+gFh9hwAzKvx/koBx5eBZHwoD1j55sHl +3Z0JjPWQrF4N4eif1gFg/JrNI9A6E+R3nCdf18LWp2L9BuY76XlqxnnFiPYs +1lOgf6vi4k65JG6G9hrKTbSvWH8wl8gjhFk/P5fwCfIN8hHylXH96fkGRnJH +essg/ID98noO612N80kjfPffcUstkePGdgo4fZFC6Nh4lRH8Yl4H+Zz1H7A+ +Uc3FCbGOAuM3GsLnmMdC+Yf8xdKzkuAB8YJ4Qryx+VL+vHwaB0Y+QrrDvABb +v+VD8Ix4Z/kD/+H3K+1Mztnhz+nhz6VGfwnxzrZH64pQzyAdI/2wdW9B5D7S +E6vvdCZ2LivP+HMYqdxoI+p31g5F+yKQ1GEjHli7zo6bF28H2nH+hIyzV/KI +ncrWH9LzOXB9+H0SLN/TOhjW7sH8sZzIX9aeo/s+jOuJeWIJZ6/4cHwRTu4j +nnDd2XxzKrFDkB95mN23hPT4kvCB8bk0bv0fEz8C7QXeLzaOO5PIS+O444h8 +xPNbsD1cZ5wPnsdiHEck4Vver2P3HSQRfLP7dmhcg81TUnwjnxjpndZ54u98 +3ICNQ9JzXBFm4/ameUx239Urojd5vxLX0Ug/+WQ9sB22jiKXzJe1/6gdjPYH +8iH/XSz2nAQXwt9It0jHKFdRzqLcRX7A9WHtlhSiD1DCIb8i/bN8k83tx6F6 +E59j33tM6ArzB7wcRhjnhfNE/Yx6DfkJ8cHmE+j+cNRDaDfy64HPseeV+nDx +c3+uXsyPjB/5EdtDe8WID1qfgHjCcSO+kM8RRnpizy2VkvtIF6w+SjKJo7HP +Uxj9MXwe6QDv47gRZvUxPS8Y5QX6KbiuqK9QXqB+QnlhfC+Ka7eA+25FAfGr +cP3/O69Mz5PizyFn861YpyfeL0L6iDPejxT3g/6jE+nviZEeaiM9iHZEJNo5 +UUTfID2w53z4ETucz3ux8ex8YtegfGH3meRzflk+scPweTZ/Ru+bVS0b9NMv +h9jrKwcels88UgRXRRjvXxLgYNjbKqNUkwEaAs+u9SS++XsV5Iv0jM+fE+VX +uagaLVs/VMAFETbyhxoSl16a6G8VQ573FOVKmbInNInzC+CFCLvclTTwMJdB +tjh+q9+1qzW+Ts+psxf1/eTqpc37xlG/tMz3PbdKtc4lcgthT1FOIox+IMJk +H/9o7bTGrWm8HuHB5iP/1exCP4/WmXazzH2ydKcMXreacwsKUO/QerWNVy2S +nlRRQsvyRc1bHMP9oxrxvLRoUF31XyqdqoYHynOPG7/B/Z1FMHNUxzUVHYug +yamCw6fsnkFE67y0/KkaGJdqfipVHgQ2TRpcG/QyB2z1N2v0UUQROGbQQsul +5STglD7e+1qwAjb97nJ2b30JyOvnW2/bWQB9q+yJf+OaAkNnOG5cuaGAvJew +W1nmjJ+CwItuW1/yKK0m8NSvk+v/MeiH73ZR28/55oCyyQ3X1g5FBN45WN5/ +VKaewN7npqbWHJABB86/PDfJWgb+/fs3bvsgBdpZB0+/t6MALqzqn7yqcjT0 ++nN5ZEAVNbyYWkUdGaSDmAsjvZVPbkOPvDJf3DsWwo5ZLT+PPRYuzj8f2q+p +MkL7PhWu9Gs0PKBKHlS0dFra83AWbHM1lzgczIKxO6fu1lXOg9Ktd7a8uyAJ +Zgt4lIP5jYCIDVfjoZSyS7c5CiVEVLq+L3tLOFyosjN0f5dC+KTTrrly+wV0 +EsanhWhxHH7iuJ6L+uZ3lE9Kb1tHqNjVb63tsEIo9avz3DkWWP+lhBk/LRr1 +6hUP9fYdP3I6Vkn0h93sQR9XHJJDe1Gfjxb1zdW0yF2fJ2XBVvOBw8uulhF8 +4/XutWmDtz1Dfz8L5gh8R+3/zovrT430w/2vaaDv+WXhsP75hK8GRjR2SzHw +1ZZzvac/DkgV9UU+lBXHVUcc5+u1Rrvat2NhHRfzQkL3Rjp2IjDqO9SX3UYZ ++yfyTXzOS8QXwp4+TWwPndCDy7dfY5yzL8BegS50EH7YOfhIris8nJri8GWh +Drb5Dvqo+P4IZoYtfVRmRBEsKr48YvX056Bbs/m3pVID65df/7C8bwA0tD5d +StpACysCe5QfuzgQIsxWGN4shE0XQzte/GSwX15mNZ55TA0ZG9a6l28eCUMa +aN+YhaphxucHPRI9IqGUQB+Z8I9AH3kww/VRO31IJhypMmz9k/g88LNddDFq +V7rYrsFuL5Ww4YAqGeZYPLNdOlAOiYWnAwrGxsLvj87/tt+tgqvtXsfdNo+D +pZED2+a4qSDz9NAWD/dHwoLRyqRNiWqQ/Zzf7JdVKNwV+LIQlorjbiDOY7s4 +L604z8jDLZ+EVfeBpsXr0u2qFsGVQ2uDjs09A5ECH+jhh8hnmYPnV5NlbCTw +zAE3Jz6oZuAfy8+7LP7oyO8b17YT1il3gMX89We2D0C/C39Hvn3UoLmnbJkn +eS8g+PKLrxNe0PoPUW7fq/BYZWawb/A9fD666ifp7UPO0PVp4Hvv57T/joca +/Nw4gsqTuVuP3Vp3nsqTWye2Lzi/Tkuex+vXh0N/bjn5ksD3N29wOTM2HFY0 +HVWh4iItqER6HL6m5bhlajcYEdKsvb6mDnosaFTGpWuSiF+D3E8+HfDWldbJ +bNYut79VpxASxre9UVgYDjY7m7dt4qYAVewnvzrVpHBoz+0TK+4EweX+pQYN +j9SAX5eU+fJgdyh8mjZiUEMdVOh/5G17Lyo/QyyiU0OsM+FeWKeI/g1lMC55 +fqDT+xhYYGM2X/mRxo+QH+rmL56euaaQzMthfvzKcb+o/DWOWwfR+1dWvRLu +LtKlBp5OnjUh+2gQfFB8zzx+RA0/CvZc2fAoShy/DJTC+DPgxpELbb7Np/ZY ++2C7NYcn0e83ZPmqSxUY2peJfgHG7+5GHd0i//EIZhx8/mCwNbXXJjk+ryaJ +N63T+9SjXenx8wPhQPTmfZYqWg/kGnK07JZdapinCtW8nhBJ4nWekwZe6nss +Ei67bbj27iaehxoFne8f6Gr7UAZ9npxe4zgmnfj705eM26famQ4Xx8wKrBJC +97mhHPV4umbitSNy+HGwVfdZ05OJPV3Yd4kmvCutc0Y7eNHXFfmv46lfVTV/ +3IkmSjlADau+dgvo+cZJnaY+TVcGkXmWlX8vdQaCIKY46GDoPg3YrHpqFb3v +GcHbFl23yZu/PoXG8yZJxyVgHZUCnCs1dauoSIQ6qd1r9RpA853ol4ztM82n +z24JbJ2T7LzYoK+fi/Y70sH8vQPv9/wUDefMLRd3S5fBne2jEk5p0sDtxGnL +SR/peW2Xxo28oa7M77fNh0eFBS5z66fDdwE/WURuXz+v7DdrSDyJ+9uL7/0c +fP6qpYGODtqtaLnOMQM2/4lK32QmgxdfLKSS2GiD/XaxW/tMuv/M5mnK660D +NbDmSq2VHo9oneQ50Y4sqlrq2FSDXfmm19DS3Rt6gv2b30PLry2COkPvle1Q +OcQkDma0hzSQLNB1MGgEOtcY5P+XgH9iPWGlKIeM6+cFO4tKO/e7abCT7nk4 +vqzhCf8KfFIEDas69t/WUAFWLlOUz9ZIYdX8tNs9qkmJHz1GsKMiRbuC5gPe +9jtXvWZoKtyt3SRmcUI+uFravg39Tetxe8Qc6zFrehrhY/T3m/0bN2N9oOl3 +QpKsFuxfaOCLzSsudlPsCYRRCX1ntHCndibSYeyCti9udS6CzFWDmpWv7k3i +w1+cof8naQih+yODfxjkngwcRL4ZIOBfDZ+6NduikD+A/E2/Xi4ZrIOFAp0X +QWmRf+OkzSddM+DRVhyXkX9C4Yew3oWQJeLfSFeFUFq78BQk+4D/O/NXVp8M +fo6vo+fDy17Qsmbz4osDimCj6Ge9b+KxNd+gv7K2ZA4+EayCDaJf1b5CqZNN +lBh/y4SP/1Yq1vencfkgte/BuocTSZylpkAPtB7lh9pq3NKBeZB4InrrAVUW +RE+Earaj8oi8HBoaWpA2Iw1S4ge6zj6aDwdfNwp9bsBnXve7i9t6ZxB44bwD +8tXrs2BWuLlN+kY9mPce0X/6y8sEv8mOP0YtnRomjksFc0/kyHK2x0HTRYve +a90K4Nmt3ZO9q78l65Up2v0Woj9v9AswnpEH1263nR/9PhMOif3bidcIaaXD +6WZ5ZFwx4nwQ9hT97TwBj7mEH43+Qz6MEeXGBdnzr19uKkFXOejBrKaRcCHR +cmMLtRr6DGpZLXnaFXF8emKP7phxoZ/dggS4JL5nK7YzWpSTBd3GPJhbn9Zb +OArjT4Jyr9ctk07FOGgyGZcPF6fw72TbdLB1gdhPKol7vRTtyTETHZ4u3VkI +Db++uDpuShjBO9qRiwd5778SrIW+m0bVPzHdF/YHb64+08Lgh9ZYYnPggh4a +mu/JOLhuD1R7Ip84xzsXOvWadT/NYH9YH/Ap5xSnh8brv9S8veVI/0t+GaM7 +PNNDTSuLtB+eG0C1ZIplHQNew7d4dLh0fCOBo6r71dgbexKUIhwQ5N3khNsl +OClz2vflth48X9Tup6loD/WvP5JqDf4MPhfWOKhC1Dk9aUc/qdHTu7YUZu1l +D/L7qhGDpiYFe5N2/lzY1rDCx+fQ5cv2rfdGFpHf/+mc2GRfqSLyHv6+sZzz +bbXjY/L7sBW9zQ8NcIX7AZ+W1mqrI8/tPH7jde81FEa6etDMy6lMajCB74j2 +E8Khy0e8GbvqDRn/RVGuV11mFbfGopA8V1fAh4aMQy5ctaQ/lJ/H7ky2q3s4 +TZTj+WLcJg2m7PY7eyAO41Q0jrmy0ojBja0V8PXq77eeOxWQ31Hq3o18p9Pw +uyA3pBBzMKyujUG/Rq/98ulzFx2oBP2eSeLX1xv9DGlQEgex7es5MiEPBuyc +siLsXQwcT0hfa+GggsGrLrWecTYGfBa9f1rlkYrMw8Vh3LOxpwLJPLxSl9xc +pnwNDcKv1y2JK2CcoU6pVbaNDO0HvR6jjzD4s9OTI8eVxDFGiXEErxUPe843 +tF/brteYk1XVsHfdUEEPdXv1WNBLaCf8GuBbUNHgz2tGG/WacsNuQc+hnRHp +vt//ksG/ny34GWroWOZ2XulEKhdRTjo/Tzb4SzIolXUke84tKldRzt6QWOXv +/11I6b7isROzfQvJPBcJ46f5wjL7Kuyb2NgHFO1PuVY26OfM65rN7RoFQ3/B +rtRAizpnpnXUPIP4myX+UBGsmyBRju/xEvpkNjPc5/0+mh8MndjBIDdk0DO7 ++Y4TuZFQ5/3eF5HP1bBHwI8cJqx3M/hdSfBc8Lckor+lIPrFWoivaEU9FgiO +FS43GWythTUN1k8u6BNA83fTartNTbkrvq+DQe62u84Z5rH9x7y11cx9wGJ4 +Wcu9rTRgP3hd5sF+oXDPe1zFK9l6OH6t1vHH3gehSbteHQMMdsS7MqF5exy8 +YIR7s1Vvpmhg4MReim9bQ2DYq35t3hnkXNy3hx3DDPZAh7D17/T9c4geOF24 +a5/ijKMYx9TBFeOCwJ9Pl2ZMGqiHAf4zVm6/7wj96re7u3yAXtTjCvAV7b3j +8QfHnGmxg+TDjHacnWif6qFF1Sq+q2edIfmxc+L9eEGv6wle+LzmOhFPnYs2 +74m8RfNbZQevSLfeqRP1hRt4Pjw7v8sxHcTa3LzX0/4huJ0pdX6Jkua3MN+1 +r9mcTWWDImDJzMC5JXqO3XeaBbtflzXomTyouyRzQvBWmk+6s6L3xH6KOHAZ +uTC/2zaVqIeSYafwvBxOCHKD5oPK9e7febalEpZVedu+j5kENjjeuT9xlhJe +Xvjc1O1+IpFLFff0PLZ+ZALMEOJT1A6YJ/iXFFYJ8So5gT9cTezqkC4nenq3 +EL9Skvv7hauKwBjfKPhgERigf0nocpNIp2vFeKsRL6nw8bi+dXdlPrQV4/XY +jtY9VXPxZzQdR7mL+hYb4+HSpjj/T2UVcKaW0uHBpCToPP3G0WUGObmtoOoc +eawUxjo8+1zQUwHDnw3qvfOLlNBNsMBfCnEdpeK4qNxEOeq+q+jDowgX6NB2 +xv3+oTo4FTyjvdLdDZK7RE89vFkHCa2/PUlPcoXp1xv/s9VBR+KYllFZr/zc +JJDQfXu0iyvN/xz5UGL4rSD0aJQLMgg7tFiIm6CdtnWm9pPt7ywih/Lu9pg3 +8mI2WOkdCwZ76qDa1Je1JNfuQ45368/zu2JdaYSoR2i+pvH+eh8fPoyHT4Wu +j6+NUIn9ZIr95oGX4BfHwiHB/lfBguAS+akD86zjBtf5KcQJz2ngbKU3HS9+ +CjTohxK5poa3gpyLEv1rmRgHSgfn3Q0alP6phUPbfO4+caD5nonxmZ2vu7wA +a8+1VepUK4JxYjzfQcyLTNu6SfqkipzM36+wJmS1ekvgQfX0ga2yUokcthLs +mbcEP4mRLjPbjkglz1+7s7fRhXMSAreMmXMjzTaJPF+pKNzuXDspae/R/ro9 +sjylJK4yscbsxFJr0sjzy3X6Qtuz6QQOmO3U93fpdPK8ZfibR75ptP1B9+aG +l/qVTOArtWrW896QDNPrNZ7lpKL5mDqWLvcypxv08tRyFSrvuU/8AuQPoz+i +Jutb4+DnGjVDaT5mVd6uTT3axUGKxfvVGw3r+8P8mEGvZYJTSVwwLw9qdZ28 +PS8hFqTuTYvnvFLBppy+659M0MGB48GGpXwChfo5j4+X10JCxfLp6x8FQtF2 +2xe2r9SwYVy521cSIqH+smHXLA16CtcrIG5i1c5KJVTsP7Sr1414ki9QrNaF +HNuWQuJcmDeM7RK+sCTufP3wa2VJHLqtECdWwd7t23qNnRgLWTdvVqszVQmT +Fhx6bPsuAcYJcWi5GJdOhg3Bilu9DXKxU/33x0rNz4RXQjw8GzoI7eRChbj5 +S3xj3kJZIT6dD1PEdrBdqVNEYMdZeogrih10X3GKy984if6DjvyOcT17UQ8h +7C3mL0kdjPg85i/xuQzRj0AY6W+79eaNyzo9455zg2JBntJ8AObn+PePdcw+ +MPxFEPe+P5cPCift3BXtV/Sr8T1bAb9q+Di5s3O7CtHkd9R/mN/5WmH4Mo9H +UXBRiPPLQHEoFtb3o/mi5UJcgJ6fi+PAuAS2S84vYsapIDA5j06E0c/B943x +a4NdFddLGb/piZiX0EDFEe+HjAgKJHEIjEvU9inXettOg58/MtjzjWs6rHT1 ++zHieyDY5V7IP3xeAz33DL88YskT2N/1x9v6qiKo29hu+dkpQVC5Ycl7GjhR +y3/A97nucHNgSby5CIpjDup2Bskg3sbybkbDdLj+/sHnzHrpYn6D1skJYr2B +AS/nl1Rs4R0BDqF7CzbdwvhINDwU4gMqsF5SV8hDhRzJFfJS8XdzhDzVVLcO +Qt4K8fBWfG+dQP9ysBbon8blepqll3vRJQn+vdJ6s8TgB3j+m7qppkFvXRXG +JxHHR/Npv4R4hcFuEvJLUtgv5BEUYh4pH8Z631zV0+B/GOMi+SQvkinS2Sox +boz2ZO6Cqh0L4jUw7Z811h3Mi6Bo3pKEdt7eYj6qEHrKJxX5dQqFW/fBqYRO +0B/AdcF1WibEv6KIP4B8WdXMIemYmw76zHM+NH/BQ2iU0FSub0/PvfQU836p +Ir21EfOEiD+MNyS99hi8slE4odMrQv4sRJy3Bjw69vIYlkj3N379Oe17f42f +SJdaqCr38Bqb4gkDA1Y0vTilCFrvvVJzxnRv2LRjyv3PBr7PHDJ54dDilyI+ +tdAoZGTjL3teE77bUttt8NWpRXBqh5NXhThPmHkx86RLBQ2EHj9R6WTjEPjw +rXZuznZatzlW0JO0DrSG4E/KiByw3DTi/ZcqdL9OxzrzR3zaUgjdgzTFvTXh +8EKIK9D9Ocp/Pgr+Bcrjs8vSO036SGFjvALrwbKgutgf2llyIc5B940ECPGn +NJIP2yXGSTAeev1XWJzq+huC72wh/kHz021Eux/9Hszn5XP94P1Ogr/wluSP +bUW6vCzEZfKhl+BHqcC/ndpgj8SBTvAPlbDBd+DYPtMTSd4J81D7Bf8pD2wF +/ymTxEcO97arcaFlDiwQ4gl5YC3GSyzaNizj0jUVajucKiVtUAAbxXa1Yj+b +xbwZ5tHq7ztmqb7+HEbF97dtZ1MEMUcyQgwmlzguGhf5nlw79l3925BUbvTX +VmF6ONnw5zL3nBNwU/A/aTzCbMPH/xMfsSf2RNaYgo+vFnoS+OxZyY6m016Q +51Ff2W1bPDjCgcZHKgvzpfEHcg6u+B7qL4RJnObX4y4nrZ+R99pv3jdjxi5n +7j03mDKo8jVdGu0vRvCf6XzI97zE95DOIl+Wjn6bHSXGK9Xk9xAhfqQh7/cp +sPnac73WJH7kJeo/5DtsH/3aUNHPnTiu9LrS8woh5sXaPM24N7AtoPrEK0FP +IM6+cd0Vw+k4ded+5L59GUTgDtkVbSYeeUnaRX1ZWfAzaf3HDsEvo/UeCrFO +IVuU59Zi3QPKJ5vdNwxyNwO6LCqRRzK40z/RQKcZoh0ug+dbHqw/FpsBTdde +q+OozIPbEP3N80Y0KOI3GfSiSsyHxoh5LzXsKf/n4CLLGHhUWTVhRogKHAS6 +zxL5IM/gx5TQcwLUFOhZJcbjKH53CPEwGu8g596J824nxr+nCva6BiYNWBJm +m+oDNsXapj2nFZE62Q7TwmLSg+h+hvl7KrwrrkK/P7hTxBPG/aqKeFwkzDsf +bgt4SIOKL6q98rN5A05C3KYQMh0++tWp9lbk+wLRv6L11NXqHxPiOsa8uAyG +b3cS4kBGfKpFPlZBWxEPI4X7IbBQuK+BO7O+/fKd6w1Z18rVyDxcRPKCmCfE +vCHmEZNEv7aNqC8Gz2mxa7NB/rsK/Wth2M91Z0/PLoJ+7caOPunrAxd/2riX +NuCtrYhHxOvgz8ryvZttIPnlK8sD2vx6soPot3rbHL6erRECtSfOK1vtisF+ +WvVomfcaCZQSns8FP0Hu03pnbHfLqkv3S/xhL7/SE69UlUL11mXi1jYsgH7n +lqxcZ50KqQI+c8R4lMGvUq/9VLDnmCgn9WJc0x52Ceulh4iAUfMi2u+AOYId +poeohQm/S9kdE+0cPdGD2aJeRP965pDWfQIaKOCYa//eHocNdsr8lH0Hqygg +YdAUs28qKQzotKig7UADfEv+c1acVKRvOSR/tp3YeJmBLwvbVfoY7AJTDqwN +SDD42a/sJ/6wdXSFWsJ6FsLEsd0MfBABVQQ7TgHHqwUZ7AwJWAh1L5minZgH +6wT5nQVFgjzOg9G9LnQcdzoOQHL987hOKvjjc84iYnI8rH8/2/vRHIM/HGp1 +dm/9THAU7EG6/6HCjWUDdAZ+LUzUG+zQGJgi2G9YDxkLwxov/b3fwJ8VpFet +Ag10P7D1UPmNDo9EeauD9dEpfTcZ7EyvCvLkixEamDno97MJ9XGftwbCyx5R +Dp8ZBHc8g5+t3qmGbZ0sbPym4P41NUyLVVt82x4FSY6fDn12lEFgcQuL1Hnp +pH45YaNltavv0sW6nyRx/nLYJMw/WdRfclgmxF2oXYl5C2McWi769Uminy+H +xQI+kuCGgA85hAvxhCQxnoD7LpNguiAfFOBwZHrqx4ZKWB26tfrgNYkQ1TRs +R85oJWS8nzzBPCYRZqevOPmjqlKkM1qvnDnybrbD0UQx/qCACKEfCfyJch17 +L1IBafOHfpHH474bBfjNGtev3gcJqAS6kUGsQEdpolzMh55CXUM63BLifXQ/ +B9qLaC+h3jl6v05l71ISEp/H5xDG+jdzoR6B2kuOQj1GAYFJHp3xi+XkfWM9 +CH3eWP+hIDDZXya+jzC+30uoV6HPhwj5MjWJzxn51DDfViV1O6kiX+fDGMH+ +SRXlcD6xq4oTrHdMNCuADmZzdBfmp4pyLh/2vLcx0A3N354X12v2Yxf3ljuC +YcdHfwPfa6ClVU2DvA4R5a8G+p3q3WHTjRBSJ22k72DoKuhBDfRxvvetspsH +SG+fDCm9swimfHPKV/f2gl1jom87PiyC3V8bJJz/6EXqro3494SRL1t1tzH4 +Z6tems9eUSyHnOXfW+x+JYUaMXbrh7RUQOejkjFdmieBe53MPy1VclHeJoG9 +4H9IRP9DATJB/kmhhyD/FKI+kZA4Xnn5vEO1rAJh4I05bVODNVDp7Olltz4G +QsAIlePujxpSt7+u5aNjkipa8E95M6TDjCDCxwN6ehTv6XAPzNZZRifs1kHl +Fn3HfRjyAB5lfmyx4rHOoB+qu24aeY/UZffx71lr6ZEicDEf0MZstjfE5gY+ +0PfTQK22biHFb0NgqDYodaaK1u+vE+oUU8BZqI/C86ZSxPxBAfysbPY05e76 +Acb6DT18FNZTAf8K6ymFYMEPVUCjbpUNckICHZMU/j0WKWDemW21shyl8DTA +bclnBf1enTF/KYM9Vp4VgxbSeOU3rl7KS8x32gj2msGPEOOXaFeAEB/LgpqC +vpaK9KKA3lb35rp3eAw/W/eP9J+jE3/XQh9RryKeatgMtzi06B4sTpf/HDiy +EGrcfOfk9+ANqfdTCvIrT/RXEyBFnfBsZRcVyasb7Q1azxwUUGXvn2B6zuK4 +TUvyAjY+IfZkyJGWkc8DA0l9dHDHUKtrefS798V9XsXpDXaIRKCf/7MfQ+QX +lC9Ge1QLeR2PT+to8DONcWitWE/kD92unYz60b4IKtT46ZszxBcGCnaHFh70 +fivkjbC9VNGeNNbbpYjtFoh1K7Q+HuUG1lvg+mAeGtfjiOD/0Hw93kc7e2vE +nuLV2amkPay/wPZQz2N7i4V4qYSrf5SS9ibt00S3GptE6Odt3z5TRrbNIO2d +w3oc8X2E2fhtBoEbzom+47sqjbT3uPie1W+HFNLeWlGvYXsI4/sygT5TCPy5 +dt8961OTxLhIshgvoPrRGM+h9fRjlLtnvV/zABzvbws6P1UHHbcElk66cR9e +f5UGdDuigyZHLqryfR6Sev5KTw5EBnR6ROirnhg3MPoBWvik3fgwue5r0W7V +windsJByTgGk/n+OkIcMhAtR/3p3d1PD7BPlXYZeiBDtFDWEHpvb7JdVhKiX +1XBCiN9HiPSqhgqW1dxrT44k/GCsc8mDo4LdlCnaUXmgEezfLDHun0f2Kxjp +Ng92V+zSZL5nLHS9oBhdY7EKtvic3JIlj4VTXyvclk1VQXTT3H1bH8XB4tpZ +TseOqMj+hl6H3zmsMdhLRnlL90vl2z0P2ZofS/ZL3a6X+U46le6XGmi773xQ +Fbpf6ljsptyxIbhPEeN/WpjYrFJ8s/svSLz2107vz48N/BbjUNtqetNImBfn +9mLRMbUYX1SDr2eswa96I9bdR0Gtlt0d+ziqoW1ercQ1UAgPLV6mvwp9AzOv +udUM36gHyYPFR5q3Owr61ZuOHGilgc82h2fI3IPF+nEtRH0LGPB9ri/s27n4 +WXkPPXz+4m03RnkW7Js2qr5pnga8qhY4R40NAfWXRU8m1ymCxV4bbaKyfUlc +50n7sjHHquhJvOtZ3RRpn1hP2L/vzdCS/GynN+OflK/tCZkNml6vsvkKtB3i +PSy0Mv0eVQ/rmO+NBr6FVr7LejdT5kPxnAu6HtFvoe2H3ulThroTv2vPnlFh +80LoeUaPxto2+P2WnmdUuHLI5Wet6fdLol7dOrrWlX6fe9LemN66gfT7JS96 +Hzo8+Setc0N/ROKy80VDM08C77ddcbC/M61ja9hSr/auHkPm+7bigbzRs2NB +d+/1c8/wILKPal+Nfyc7nqfnHWE/4y5MSHjw6y3sT242tOtFer7RmRfr90Vp +6flG/cbE16/X7xnZD1HYZ1Kl1wMyCIzjmbLxhMWIQxlkPE3WbCpTxY9+T8Gn +wu3Rlmr63snFM37cXkjPI3rRalTgteP0PKLBX4NSrJ/LID1m0OQ6jlFk/5l9 +z5X73lvSuDu+P+jihnnLeyrhzuoZy6rdfMR9D0sCkTHrO+2eqYaYnqmXO5Uq +MDl/6Fbu4/Htz9J93jc8LBaEGOwVHM/h6TVrTzlD940PP36tQ5deOjKfq+bl +575KpeejXivld+jilyKw/hZmP98yEnZN/lBKe8oNLv9cFNnlkkGv6na0b/nI +DWwqv727wUAPI/33p05tFAyf2885G/xJBRP3tXOTnw4CWY9Rpc8+KoL1J84U +vG8eDM6JZfusdgwCGOZXqdaRFOhU3fzCln/ToULYwfWdCpNh48CSBhPBL96q +Ra+L6SDbVffJyDx63bLq/rZV9xUw273cP+7lMqD5+ebZ9Wsb5J3X4nLBozJg +fO/jgxfI3eFx2QRN9fs5sNqqzTjXPhlwdrvPxvdRObAtfdD9alui4HqvhJVl +bipg9CbrOvArBzJcNg+qlq6Ao+PutVTaaOCTOI/pB1f4q+PywLHe6bL/fiiE +ncL76dBv7W1p+X5F4Br/fJlfuRT4Zq17a3FRDzGXzctEG/zv+h37j527Tg9z +1+gCvJLpObnJre6/jrhP9w9n2ATuMG+P+9XD4ev0qW2qLMwgcVFczz/jp0c3 +bq0Cn5iJX6JmRBO/oLjT5aUPzen5Qv+8aKPaUPMe911BHZjfPGU2e/Iz8pzb +lsXlshbQc4sulP3TxGV+NIkTH0xKXrtrggxyQ1wk5zbHc9+lSIDEmE5DqnWk +52baNRrn2fFXEdwZ7vPhV1Iq2BzyOry0ywtoW+VQsZ0qFZZK9QM/zn0JlVoX +zTxgTc/53tj4esb3MXS/8ohu49vkD0P7MxTuOXy/f6hXBDxqePX6eb+rMHvc +gE6NKqUCfK824k26PSzclzZw58xUiPC/o9W6PoCTXyzvdd8iB13MtDoTB96A +HQ/sFY33ySF9yqmyTcPuwex+cHrtJhU4/3r47+Vhl8DrXr9/HnrKoWGlUyOt +pvrD9uTXjXp6yeGAovNmtZ0/2PxqfOdUtg+oznlcTXUIhcWqo1Wrp/nC+6nj +mwVbRIAm8nT0/dVpsOF3RY8h48Lh0aShGSs0cvC54GrWp1I4LNm0QXbD+SUM +cNr789SSeHje7LBmkm8cud4ZeurA7Y7x0CW7b8DTVQlwqfcI68ScNFjs/bKr +3fE4qHMwMOrOcAVMmFDnxammiTDmq//DOSMUICm0adCqYyLUfNBoWMY4vYF/ +DWTXKw4uNL08dWuda5D14/zCXv2SwayypJ90SgK0gUD1VpskSDnzat+vYelw +aey3oqyNUignEHIhGGjaQNhJEHct+c+zPYXwYM7O0VYdksBy6LVEp7NaqDXN +Luri5SQI7Pe8y5O7Oqj5NL1bRKlkeDHxTPM7F50hRLv7eemMVLjTqEtWm/KJ +cH/7p9Vrm6WCxdn+Y1Jj82FoecmPzY8NfJ7it2dj0zAYen/kiTSDfxDfo9/P +YfvDofqwfxtFVMuDxjcbye87hsP68AuvQrrnQeWaoxbdquwLXqvtoxqm50Mv +r72D+9SMgH7y0D6HWuTDs1llKtUaqYCLfVoOOpAlg1aP/pmac0YJv0vE1E8Z +3DVQ7625KuhZkLm8fs18+Fr8s/Bw00IYcrBljwZD8mFh4J4pT9cUQqXGfRtZ +2uaDLPdwcvwWLTRqvquj9cl8gIKeXRdu1cGEQXUWhkjzodH8d/Xmv7sIL2Wd +Xss6KaB043dPa/15Ae9Gjowo7yqH1ZI3g6pZ+MP3y1XuFAfIIe/l0TvLlieD +7cWulqsMfmqx//xTTT4lwwSvj6XLdlRA9Vol/+5A+F7tm71aJVQcbFF61YE7 +0NumtOvuqioYc73BrysWr2HD3Sj/Mq5KaD+snG1kcT64b1pxvuhfJfypMWdi +xC45nO9xT6YNUcLq3OZVwnLl8Of7pUXmKUqQ11zc4kGUEurrb+TM6GmQH2mj +knum3gebDg33di9Ww6NKc8PPjEqFIQvkCa0MduLhntvOfHmdBu8n39a/+6GG +pptTDu24kgW+M/3KT59ZCP9YZvar450Le06cv33XtxCse7fe3L2bHur/Uypl +3ns1PEvzaNO7XByc/fO66FIdLTT0W3Xs62MDXWvn5I7tr4VyCapXzfYngUc5 +5Yx517Vwtn3GqpgxqfD7l0+dR7+1YLX+1AKnACVM9i1hEC2snZEbmNlWBZ7v +ni1es1oLgavW7Dj7WQ3vS6+3yS7QgvS4/8A3YaHwcotDg7LTdfB99vUK3SDC +wHduTv/a6aBZhS//1IqLB71b1ny1UgcH+z0w/EmhwtaJhj89bLo6dNdL63wY +N/HZtM2OOrheaYjzXvt8+Niogu6ej4HOS/eOL1gkhzoj/5m2pIse7jqV/JNB +2sozbw1/kP3TvPQIVxk8zTu2csKSVFh02fz7FzcDX7VK8NtYTg4OJ3I/6FYp +YWWNYw9HbJZCWPM3deze0u82oF/VdEOTzzZ1FTDWvnvrpIlviPyWWDZ3Szib +Suyv2eucH2y/RL9H7KPqYznzHxV53r7izeSs4Rqib0h+58qgKokdPIhfOPzQ +1pOFGUGQub139G2HF0TPoFz2X7Vzcdk6sVD78t6j1yvGcedZmpk9FeVXxaM+ +253uLafnjC95P6iWPJ7YLfj7ueASjSqBKhnKFbDpNmfPOUHcqA/X6gW+JfbH +2NbPn9SUJhH7q9fI9PmdhiQTfTXgmKJinRUZkGATXGvtkzBix+D4rLuX/MuH +moGlmgSWmkPieJ/DK7b93t+P2EVqx1Zzyx2n39PF/i+v3PCwvm8+uA3pXnPO +m2vEfsOrZFnIU//yKngi4IF+7xb1ZP/ZLZql7VGRcY3ZcNZ/yYVCMm+DkWGw +mLTk+bK1ripOPtbC8BLzw1/FnRcogcKle5uHddCT9Wv+553hj9r/4+02Vsr8 +qoPL/xzp9ql5AYmb4Lh2jj42d7ZKD+NOLl+1pT79vgA+55N10vWYKhiaH1Eu +3NFMAa4LrR91rBoLiw8+cvu3h4Ks40Xlh6mfXqog+IP1gBohUphbOHac8yZ6 +npbzu82pLT2jST1jntuLavf2B8IW61EdPS6pYVHg7h1BvoFwKDo5uopcDW1s +cqb3vhcJFaadf5mSowFt4oOEhNURoKyRdyc+UQPt9w7bNE37GI472Jubp2qg +U/OSf0/hoHn/Q+YGeRL7zPve/VuB0NQ340G/ljooHNMue0y711Ctesk/Ov9+ +31welL8sJfvbE0/MSns8gn5/4XKZ/OO966ihbs+o7U070vNIzIouZ4e9oN9v +PdjsytGkrx7cObHRECEo7gCYFtxu/XllFLk/r/XwBzO89dDwco93YZtDYOyo +7hOa1Kbf0cV8W1x2t5Azzw32V4c/Zd1jg8k6p8dErrvznn6Ptfj3lE+1JnnS +vLl4dWh4fdTT8kqwqNb3S1o5Lff9Ay2sqtHLufEIun/nXs/A3w5jNaTdlvun +BWVdpN9Ltf5Zdb38dhFEb3t9q1GXx6D53KT+lEeusLl1702te8u4/W1yONkh +ZY1zYToZ97W9VZutmqeA/poLkY9PyIicW1Lz5MPyV2RQ+9KMI64DU2CG+4qK ++hv0/K9PPZIGdMorgD456ofv49MJfU+6ZaVvGZ5Oxqd8XM5u5K0MQr/lmxyo +75KYAbGllSGdhkrJPJ//GnwkqroU2pwffuqLmwycHMaGhFlIYfIfzZBlf2TQ +rb7TyxsrpSCNX1qjWukC0N5oOmv6CimU//D29YRf+TBpQY88+Y+3sPzjkztd +xyjgY8OJdgvKpcLJrhulSQa4xCvZVVdHrmesz8T1W6oDe4M2qt5ZB8NqT29a +/V0RyZdj/Chz7YR6Z7e7g8xaXzslswgq/Rsnj3vgDDEf0zQ5SgPeWwz4tm7u +Axjc4G6tzd460O84smJCw2dQPHBNzQ67dHBtlvUdsyB3SJvaaJPOUwOpJWb6 +rVeQ/s/cbZFeGvj+1q796jevwMLghdUaq4Xrj0oINAh+Oeuv1R6phQvnTrRN +twyCds4Be8fb0PpljHcuWV+qXHj5aLh6ad/vTR4ysBuU6Xd0Wxq8yqnV+uWw +fIiRmJVpdD0dppVqv6t7qXSw8pnVrOlaBYTk9h93oCn9ntfvtxcKpjWXQcX9 +Hj53Kj+B3/eTLbc1lEFA0X515WH3oImdarx3Yxk4nF18L/jSA0KP2z9UelP0 +REHkv01EsNr9iQ4Ed/SbHLT1x+x9VvAG9G2dpp2uqIC4Y4H99W2j4I5gf2TD +tXVzM8BLAaNKPXPtUZDJnVOcBXUsUjbUNPgdeJ7PqR6+7681U0PbaPeIn7eK +iB650Lbj1hvJcugxydy9fWgw5DxZ+7JRuUzw2PhPuP9ZBTSfvaR/zoQsqNHZ +46be4JeuDIMJR+8WQefS5tubTV0MP9TH8ty0evBNKnUkLN8DkkaW6xHcOApu +l26UV63IC3YneM765BcFTQq/ve1e/gV0tYpbeLqVBlQdZMvnRdkBVEl13mjw +R1XJmZOcXB2hbJ7LtqSEIqgSParMBdfbMESxd5mbfxHs3Gfr1jrfHsZujg5Y +9kkH2V8ibOfsfAYVHt2TKVbo4X1sxRjnVh4GuzAuflqeF8zpe+RDlV+B4Hgg +VrLPxhOUdd43rr34Jeww8766pSAaPqWXSlomCYKLbao+v9lODXvbDPwD8eGQ +6WNtZj22EB6ujW99fGE0zPZc/qRh3CH4okgO9XRKhAUP30nGLdoAruFjDJ54 +AtQf7vD8Wk4QbJnby7lbzbcwXnP1cYfjIfDvlLBxXrHpcG6N8ofru2AYWeI2 +7kgDa4vUtV2eJsIAn+w/bhUyIXdjw2aX8xLhRfuj38YZ8OyR+/y+oocayjUa +2az6uAxY0GbEojYjCmG3z3LDXwYMdXG73nPdM4h8Ks2e2zgXiq22WPUdI4Hb +n5IWawx+/pDMKrdWx3nB9Vh3991f8+Cqw7O+Da97QofbtbITxufBtGoHVvRO +3g9Fw4pHfBxfAO4vr+2Y3mMRXJ6k6KrZR88JOVKj/03PwwrofLje+MqlcuGo +KmzF4nQF5DjXNOv4Mw+WF9UZvaK9Eu6uHlBm1sw8qDnyw4YeNZQAx//YLjup +gbwA+zRZeTU8CMgcOm9REVR+8ntTjZ1qeBlsdrhvgBbyqji42k1Sg830pmkW +V2VgefjqBe+mGshuU/7AxaH5kCVcNTA4seCxYnsB+Fs1ntzwmAaClzg6VqyR +CdsONTvVbVkRuAvtZ8Hp2MjUG6eKYNntmUOGReZA75MnxvaVFIHLxmZlXgVq +wLFF+RHJi4vg0KsDL29uNujVCS7lrK8UQYs1nxcsPVwEPrbbd01SGfTDtuab +6i96C1E/5rZye6mHmDndb3QwS4MhS4+6Rhfp4WDVi01drJTQbeGIq28e6cG1 +SQmDKMFNuOph3cTAF6kLM2Dv8N2zDnTMg4l7suslz46GhXGLN/qWVcGCIovm +78w1hP/IOZTXbIfG7TH40wdqzqvZVM2dX5YD/dI6T7Ux4P9RL/vbGXkPOfvX +DRQh4yqNrO5M9MWFzM/DZZN08LL16rONA3RELodtbHC5WZDp/u2jjb23BLSl +dX7qPo53D/8IhD5pTVum5qYSfW952vrW3ndyEs9Im21VVn8pE3wa73ZKNNgb +R9TLPinex0LQmT7Lz9ZTw/5Nn26NDoiDnXVWDz1umNd+P+9yvWvT71wK5uB+ +FZmPMS6mgiVCnMoNdLM2Tm8qUZmcr+SaWcXqVWgQ5BSn7z6xJY2MZ+e3l5fj +d6dB/QFVp6qOv4FzfqMOxd9PA9sVFksHLI8i+nVCSbjpShLB1/3m9Q7oqiaD +7vvySCere0TP9/1R6BzVwAWaxu6octQxDVbVr3nddugD2JdqUExP0sk+Yv8u +bd6H/Egn9lgFgxU+q3MGuPtWb1vJPIPI/XWT9vRvZhtB9Pf3vasMrl0EdNyd +eMM3Ix9Om9VX7QmMgLVLhjYo17AAEs1TF7zOpN8XCqzwtPW6elHQ7ajL9aKq +CrLPO6yj7o9kowLOlKloP2pxAFwYLe3lsVcFF7tELvp5MQC6tO575fgtFQzx +ijBYPA/hRNPzBk1eCCuffGjeU/EQ+ld3kMjzCyGzsav1jRVBxG67X63et7on +gmD95vY3u1ah9tS+RWfGdvmnEH6e6xg694u7yfexLi8cXrfdTS3BYwPH9/0C +6xYRO7tw24N1Rwt15PmVZW72SlipJ/O8ndJD32e4HlYn37jf6ZUUzrUc8HTs +WDksOvlqnGWMFDq8O+N1+6gc9gw/HzHJQQpbara5bn6vAP74BElndwuCT38K +S709UwgDuy062r5PEDR/1tLL6nIhtLR64F600R2Kl4ebWcca/I9xMdvL3XeH +ZV+Slo4v1hJ/8uT7So289+ngTUJ6xzbD9OBcOXPI8006kL2yGDhOpSP+eH43 +m49TF7jAsL5JR4Pm7If7uUOq+N5wgdiZboN+DD0I2xOmXIgK0YJNhaHSZgeD +oJfqVODNn1qY9G/h+smuQXCornPfDTfyQZHjPf6yCz23fbnj0Cfet9OhghC/ +SiP8mho5bXc/BznoLg/608TyGfzUll40ZaUKjkFJgPoErLasv8vcVwUbpnhV +LvPYGxTrtuZ/DFWB9PrHx9EbfKG9YGCkweT3Jy0CZgYTfqjRbeq2Ky9i4LzP +FI/Y0VpoWWqFs/PZGDi91dVxvm0RTBp/t75L81g4vGbwCcU7Lawc1nGTpTaG +nhtZ4k7/ioVmG3cUDRxu4Cch4BYr2mc6aBg0bF87t1gwPHTz0SU91B77cbvH +7DhwCbM6mH3qFuztGVa1/skU4v+6C4ySBJFZNboO26aGlh7+U+U6KXiu/i79 +NF4Dbz3c6r2ZmgSliuov+De9CCaumVrpZFoSWJqtbdewkhK0522/z6+dAYm/ +hnXumaWE/R5ferZsnwFLev2QnvmcDhN758qyCzJgndcey13VM8AsLfy144ws +mBVcHPD6ni/YP2zV0rZvAdyt/WXgo3NvIKZazR5bttHvQDwqmdYWGSS36+L8 +8UculD1r0zt4owymFJw9c66aDOKXlL7ke0gG+x1u3LaemgeRFkHq4B0yMr+z +R2sHvxieD5p7PgrrZWrodTdjYAPLfJEPNLBKuOZD4jz/n6O+XIZFPje8L25T +QPmowCuD1kbCzEMDvZfVlsPxtKtXbh6PhAYFpZomD6TnKV5Ifh9esa0CHjSV +XXpdnATj+7VMUzdUQP2c55ES7xQYNPd54xm9FLAwQFPwcOArCLeq0mdNPSW0 +EeJ/96C4Xsl/1IQ/W/cIiYg/qoYjB9qftVJKwXxbmkPzXWqw/XLoYreMZNgT +G5/21FkNCb1/hk07lAw3hYGpCf87u7UwUIYamvXeGf8p9i1kwvfDufFqWFaQ +c7l+nQyY3t+uOKlxIZEPP7IfB/bqqIWumxvfSjsQC9XSSxIYWtjqpD7bLjkR +6h5bdNd2phayHr54tfr0W/BWlmo/SqMleqDtqRE7U9broPQbT+8VG0KhYZjZ +kxsGfTiwJDx2MAqqF942/Omgj0P4haTaUqhk0ch3+CA94b9J+1dK6z3WwWsH +AyIfyOD47/HTo3frAJbe3LnlRQFIjiuqXC2jhy2TF5844ikl9Qno9+af6lzm ++j0N7HwztNLCrGBwMFj1YfYaeNBtbb2r0hDY+bNXzqKbGmhiNvXr3dAwGGRf +Y8xKg59j139nl+F3w2Dj5nbZn57R83uF8eYWwed/+t5tEOgNd5t2qjnCQPdz +A2O+7bvkB/2/F44ONvhhUcNmJp7a4wvjt5Wf1FxTBOFj/e92vCqHsKsWsoe9 +PEEi2Hv2MD9B8m3lGin0EvJb9nCgRJ+tk0Lm3uq9d13UwhWvE6PdDPoxRHi/ +CLYsO+77MDYJrk5auq9eMz0U1nTxvlI/GSpWnvit+VM91O35vmulHvS7O+Z9 +865vrJoBs/qHdt6TFwaXY4a3+tcmF3peKkmw+UB4iZsTJoNxsRXcu6/zgZA8 +7y911TJ4ELS57AmfE9CxgfPY1r8KoLryzuIdG89AwpT2p+oZ6Ft18kKFjJt+ +cGBdtVvDYv5fWVcCDlX7vqm0r1JUIksJUaTI0h2lkq9IZQtZ065VRaWNPiol +FEpRlCXZ95S17NtYZ6wHwxgzVGjPf2a+nLmu3/9cc13TacY5Z8553ue97+d5 +3ufuxuISb4OU+0+Qlphs7bakF93np5S5dLei/PSnXPaBfpQfPJs95Ub73/mi +H5InT7l8jqtDWItg6dKwAYxK9+S5OjfgOu94Azg5QY7zqgb7vw1+T4K2zCip +QTrv+INwO74v33seX7/JLatWa+JsAhoz1mnF3r+M2uFlYjvnELhp4RVyRNwL +A6ZSb08sIPAiIOiA75KnHLu1eJY2n4B0ivYQMRqEser0dbkz+HpRouIdXhb9 +fL3ncdzm69EdbPpvPo5HeB1N3sHEbYHpjwu/l4GqJRsz9VM/zgzej5IuLCPj +ImN3Aob9aPz+mzfU5eWvmxMo/+6w/fW7Nni13TTwNCPIPjTrdrU7Kuhyxm95 +lbrdl2pMGqmsUdDh67R3p1zbtaSvD9pcMz5QTuLEcfy5/w03IcnEwa2s98aF +BeR1j8+no1MuTZLbVoA9i06xkqYPQojy7NiGyQUw3ZffJ6c+iBcxo1a2MgVo +8dBp9hVkQOtEz27V+nzIFNL2fZ3NQMBcF7NWrUIovNmvaFzWjwmpx6YpvSnD +s8GESy8l+vCocQZxeA2N/P3xKSNC0w1pOK0dMLdBiQrTyWPeG1RZJL8Z/JMq +0LKXM37M43vrPOvBMTIJTS++TjUc4zivwf/G/3Y64rjhjxODpH1viknbtYAz +j0FjdDdlEwtxdya4LGvKw7I31Zry71jIbe60ZinmQ7hMQ6RMoxuZWdyNinNO +Zq5OZt1gMd+xme+okIzv+H7n3SDqxN8m/Ahm47HJb+Ehbn1FjaGH2kM2fo0K +5PXGtKJkYcQhCSMCS6bepCasbIV7+zfqWg6/X5mxon4aqwo63VSKkTyD7Otq +8DdPXGSg1VaTzsY1ScGiNvFE+Kgyyi/tZ6PCRaA+70EC5idfmLd8Lb8/pk3w +eUa/JgP955o+ri4rxrfE7Na6dQwUXbEyma5fTK7/Tlq7NOvo2jJQ5nyx+Lml +Hz0OC37Msy5D+IFuj+iZ/TDSaKHN1SrDdWLabLUKBm6GSFnuFSmDUcehozls +BiQ15nm/XlkGtRAB54q1BNmv827yZO3HKgTGNl67K6jwlvMMokoIVQKTpZNX +VkzKwbxKEwOr9QT+GO7MyDn8HsVXZYby1Qikfu+60mfxDuJVRgrzR3rgXqVl +v+0TFX6Kgd/kODi5pVAoKucLFWpEfOIS02Z4lftuZdjR8aDuSICnCAOjuPjV +vbYQN7Z8V/24hAHriGkL4v2L4Noz2fmnUw9SLv+OFdS4ian5e1xWZrHQZfza +5ma7HxlPX+P92HPFuntIMLfXcYgbH7/X4Ro6vXXiqUFkDNp5vlVOQrkfw0nx +xiCZ3xhfN31NkyVCD0jCbf+jA99rkkBsM7zW2Z1Ffm+X4o2xQvFMCLMCNiqE +JfL7Sb/2Fbut2Ez6C/nqrYnmVRz8vHvazdW9eehWoryQrOXrqrlZe29TMKUj +J6lYbtHqWtz/Yk6vMaP/Tz5jCPLW4kbPHlQi9OWSY2f66JiuzzoZu4evo9wh +tmutlTEFAbG/JdS8mHhz4HToLrs6sm5DPcIiI3d/HQR+CZ2vMOzHjynD85wO +0bCON//2k+NwnGcYT/AW2OZKw+/Pe0VL5pf8jz5PCQZNtlhmxnTD3Nv/S2tN +O7oPeAStsyVwymy93vFfbXAJHjWLsCCgE6NztvUkE64FoXr3j/B1rPyiM85o +cvZj3oaVzoh5i58zR8S6kulQfKx3vbvnLfm7zA13fp2fGgGqUZ0J5Xcfbsr1 +5YqsjST9ioLJWxvPwRpc+tlP2O1m4A0dx1sO1cBNW3V/+lYG6T90CxSyZmUz +MNnyvOHdmAYy7thUmH+J8poGv9Cnug/l+fdhwYfc6CGZfkykL6jcEFSLI32x +Xu+O8PMjIa/TXTY7DGDsYUOVw4sB+N49nZ8byYJPyBxb55YB0g7HeZiNvVLG +jzIWvHPfpCRNLccOxducf7FJ3v3v5U/Jla/ZSNujlbpHqxkGz4Y5r0GEBXO3 +ZtIOipJEK7yz40g//56XD3pDvl93s6EQJvF4n2/80Nc0ATt5vLqY5PNhhz2j +NsmX4JJFv/Vvy1jyOq323/02vCIfQ1e2dk8bfUvivvO8+pgcvOLFBaoxtPjL +uRfu78CtQoj2rEGW0D2ZYyPN5Pcn8/gRFe9ebTfTJaoh/WRsoqgIFRmLTzQ+ +s6jBHl6AIZfEsf3RuavYk/JwwcvUzJGDV2bveUSTdOTrSLc9TNVccaEaEzq2 +HXCZXo+EVUOlE+I559FlMo+sakCerfyRbgcq+f0N0nbioec4/Lv1aZe9Tz0E +4lhCLutrSNyrwaUZ+2vwvMHnV808KhbLxf8KL+DnEXjhhEoqZnDTGoXNMG8T +4zAlOgw2V152FaSh06BaPWH9G5J3p3Cjvc7xsLzHTTi2kfxNilcX0EXysWBB +x+q4zi5ktZ7tnRvFuV7Bdg7yo0N3ZZJs0QQaWpkvj4de4ef1uFGtdPD7E779 +d5/0YDa/H7b5gJXM2cp+fv/CNqaqx48Bkm/c4bDJz7cHyXhIiWphojJnvkzf +h9rbdVFopkdGuLk/gu7f+MM3qQilVe7heHnuOe1SCr9/3Sl/+ZSZ6QRG7y0+ +EzrWTPZbSxbJ3j75ERUTMk5vVRHowtLm14/oflToVMxqX5fZRPrD96oHVgQX +NYHGHNI1McvAhO9L7r8XbEZvSCs3wgW9xT/V1C99xH2/kYLVi86i4pf6gQjt +JtJeJ/LsqQm7efljP7Qv2/D88NkmtOSsZ02cF4+MgFXKsm495PdFisoVRpN7 +yPjU21nhhyavyiB5yPo61zDN1jR0BxbG2/sVYleIYkSmXhYCosqh0VSKua3R +rpvnVpDf55VlrSxHewk3QV0An8leaj655ZgqUWAd8m8RNjyW13d4UIHLtYmn +phuUIDDCMvvDpQq47C9+eLm/GLHezvoyglXk+BhOCszzsK9E38SmReozKlAn +oiK1uK0Kv950PlfRqEWVieZmM47dMdSDqzbFlf+NJ/B1tbOW7/r9dD+Hx2Zf +uxWWzpmvRX7MLnMm4KqrPeugZxWmp1MnVHN4cfjY8sQKVg3er5jkNHiUgPUk +18hA/WoYhZqw4tc/IsfLOG52X2rro3yKgmv/FK4UlM5FyP0Z29KsKFjHLVtb +n4tRXt6agp01flZ/NlPxyCEt8v4hCn6e9Jrj/K0aiW12H+oojbCc6qFt84KK +9eKl+z5ENgJttRwkRUVcprfPI2d+HzK7c5SOuGQqLqjal21ojEV8pv8HMc8W +JA1398mJvUbbGt2tj1614OmuO6dXfygkx5tndBlrjmoh9nxX9l5l34KRnP3X +ju8tRLav0uj6xBZs8TbWlbUrQtFdTX2aXjtKmnP3Xn3wgRw3Gft2b9R9UUvu +70gS8+gxrAXtg7OrrWAHSqT1Da4+qsUq/5fHHX93IFjc4My/HbW4u7Ik/PTv +ThCRjwuXJdRiqHan/VzzTvicjZiiY5z+P/p+aRg42ni8RL6L/P8zx6IEVz8l +4MerS+C/n+eGaZZ2YeR8kmVbEIHOT4vrxZW6QXHP7TR+Q0BeJltTrbwLnfcf +fgp/RZDxuGdGzNJZlQQuL924vX96D5jfhlOL8ggs5oYRNXvQfaLqlAqHz6lV +ysalG9JhKZpeI9BGkP5F+rIG20CoC+Gft4us2dOLQRWBK8MjBISSFpXH1/Uh +qMHepo5zXTIBq/IGZ3N4l0uXcllRF97rFu6Pf/aAvI5x+4kJ2TdpKKYHq69Q +W/8syObHR48xNzzYF06ed/x+XJWfdrnYsRcyQX2DjqkEuHD+zbZevA7IEhT9 +SoAXtjHpRfTcqicLFnbD86P2hfIbveRxL5qqCQ9V9OLigek+pYxuRDFuhVyJ +6sV1bjiki46yrOTzF6f2wea2v0NOHANrglOVnR/3QZaxM8S2iAGqqfzuyrA+ +SGTaWz+w6UB8a+xg2qt+fvxMgZvY5uCD0g6obGODR7dSGHCylFIw3sHGo8i2 ++vhUBjpELoRVNA7i5IY81c/L+snr46U/a5jospZx//q2G8Flf1ScgpjIfbu3 +roKDX7lVX4XvmEhQd2uJ2E1H20BlqsdXJm7wAm10fOKGAz8z+c9rzfmCjXYD +WL941Q5FnV6EP9H1u71mAC31M4c+GTCQfsetLCp9gLRr+5/XfwWIsxH7W9Tn +wqoOiDZXft3TxYIxt86ppgOO3Hq/aWwsl0l7cianE40tBg539Ni479xupfa6 +EykJp65d3shGYZWB3lZDJtoCb8kqn4wg8VuTxFjx2rgE8OixNZ93zs7uPesQ +nEriWzJeEnxERN23ELkemXOnj5WRn68Oezs9T6EZhVMXzfmonU/evx0LH+Yc +2vUWYzVuwsz8HpL3WrT7ciN1eMJ1RwVliOS9Z5N1FePvt2SnB0WPlCBqudBv +N0uCxFmfXfaZvHbzIXFcn/A3uWse9kiRtP0pmFYFnhkxqvC046eJ8d5aXHex +2amtWE2uLznnMEf140W+rut92+fv/evDsJ5bRjmtESHhmpYLK5+T61tkdHb2 +qboOkP52nKdPsJpOk3erg955P+aPsgISd97eGWF2w7CWzDPZX9j+44s9EyVr +M0K1b9DgY0k/1N7eD8/7NxDCwefeU41/SFqkkvnmTx3eRUHDteS++tBLkaGX +N/l9UI7lLTyWZwpZU/vlpvZd5PX85tYvXurCeRcDo/lZA1jNS/h14RE3DebK +Aq/c4E0XlO9XFckfHsTuZrv+0z+70LqHG0kcBK9M+xdfD9lc/txEZXYP1sbf +tdAdyyZxyPg8fWXS9quTtvdhX+iy+/ZbX5D1O2/mXG9orKdDyMaiI1Coj/w7 +FBtzzjhep9dHvk/ghhFy+qDnzwXefah3/R0ceJ1BHk/qibzA4dEWEieN1+MI +bRI954t+qMYt+P5Cpo7EbePPefGOyjrRqwPYlx71bukcBkRkZ8fnvBogjxvL +hXe3BvCV1f6H1V5J+o1x+1Mc/d0QXMZGF7cM1L0boxw0+fIzm5z/6PusQiQo +bNzzvhU16RwThK+bfNrsJMy2WBmplcmG6vkFzQM1+TgxR4/F2M/G9OpVfzYE +5EMoWHubuhFf11Z9k2BVAGjYrbV+8jzRDkhXCBun/0PD9rpum5JrHbDhWLWk +LcduUk6kfVjaiS96o8dGjGkQnVhJiw7rwD2PwOGen6XkuthZwnvPXsgqBaMh +3Fhnai8WzVb3l+4pRcxM2xI/w16UPluy5eGeMmi6KVLPf+/FJ8XCjL0zyhC4 +SMzRyKsXy16oxZoF8dexaf7FD//Fexh/695zQdVcpRcuzNev1WhUXdDfzEQM +nQuMOOP0r/+7K2L01S31I7Yv7Iq/VMLEib2/9WYc5a+b053bMSrV8xonW2Tv +KnkyOWPi9Saxw/FYYb1xtr8Jv+9epkK1odEiNvR8j5UZMPPw649fR5wKG/EL +Z/k6H83BQ40R9xMcf/iZYr8ESuN5hUz8WrAs5KAiBz8RMhesS9KhNCFPeu4q +Ass9usrZWhlY8oFbiFwGyyCXkNTNbxEQMe+Ewxm+Dre+XoMeO2MQGibM1RNc +C6BpoeRyx7af9EekzviPnFvvbpfBteEsk/qnBv/K3xZZLthG+hld1ZxjTkPt +uBxXMTFYspaMI244mnXu+FgHCgP0fR4I9MJd496h5tB+WF1pO91a1Uf66zlh +Ne46Agx8mpn0j/f5AVyonCRlAgaeaTBuOr7qxLW50c+6+/tJv7H6+RJ9wVlM +FO33b55G64fZ1Zajyhwee4M6e+8rzv755Z9izTn748cPnergR/mHhVSLHs3T +Lf0k772z52f2mrFX/6Nr9hLyp0ZWN+33IuP09+J2nZjdTIULj2/2oOPv+ouE +hUcTFx7twbQ3HdPfdFCR+OakOq2uG7GDQhnbK6mkHSRaH/8x6EeDcg0XqTNx +k8OGJTxpeHFLTSWNzcS9V5Mu7rhPQ/KLqOFQtwFkCOpqzQql4arp6PZi4QG0 +OVge3+ZPI+OklJvKDttk2YjsXaekPMKCmVhpbc10Ntm/USE1/MQO5TxMWRp5 +28VzAKl6za+/mXH2X7ldy+aur8hdGyQ88AEDn6aWaKkwcPTaCQHLio/oqBvM +XL6rC/nR7WcMn1Ax+2YdzTi8Ce68OFAK/HJOFw1FNoG6WCSqtyMF3taCp+Mz +E/CYyV0QkAw1Qt9wlmkizBWbXEz7UvH8zMTrrosJ8r56Sw2Z3BUjoKNjmPe9 +5gX+ZEV8thMn0D5ZOvHRq2hMLBIPtknLx5z8LP0RVhOSZ/y7M1Iq+S8e6ESa +t+f3lxYf/8ZDCAzzcD8H91VmWBwyYUIl0OvJz4HW//Ivj1mYx50+hfvAmtJ0 +5Spr8O+6ETrpB8f9ytd6dvzwGQrpP7mspjiTAl752mka8lwmb7yZwsHjVxK7 +RW9TcNRp6FnQjW5Ir5PMrfzWAN4yGE06nnjs9pwYw/EPpot+rLvRh0mBU6OE +ttLJuPm4vs5zPYUIvRgqVr5Id4rz5edtrEsjrUojCXJ+vrilythBdxwfFCD0 +V5+w9B6C9Evnjz93bFxBkH3NpftYkyWuE+Q8oRHdVHzBnyB597jdL52987HR +a749mV0q4rxoZPx9o+z5SJ9WGs7EyAhYio/r1hL4cP2fowsPU8h5Yhy3jT/f +1AdmjsdT+HpKCgqUyQbuNDCzmv5IChBoHK7vFertI/2PuuHLX6PsPmiLf1c5 +3sDvg/5iVZRtn0M5lJat5zxRJuT/8lxWxrVkx1ImJCkHZ8luKUf5ZVfBRHka +6W9yRAMsEpVoqJ2ZqnFmCV8HcTE3n8zhmRqFsh+9FnegtO+4RawDgcCLkQ5b +T3dAanjdHjkOj1084aax7cZScl5fcUnFQP1QKXTWNrne9KFjUeEjnd7ludAN +f3dRbAkDDdK071eOvMaivzhTzy7qtNCTPLI/7n+4PA9S3Ol5OxOyFQPel1Pz +IBOlNeOSAZN8ThfH2pjOJxn4yMtz1YIHV+wZuBJsJPy1vxajYclKn50YcDzI +3RJJXckIsdzAtT6JMG368yPAk0XaSULvvhd/OHje6cA8yhwqB+eW3wwNe8AE +201o0VP/MnyfHbLGa5Svy6zKLQ+nsLBCZ9pKc0oymL+23c2sZOH23zwSj05u +YJPnPbTe5Nys0TxyvHzm1ZHTyPqSZcvmb9ZbxyJ12/LDa7xHOHY78FDa/3Rh +K3ZPGJMdMiLgWrBN9L1aGyTqS4zM9ozbcTUGVlSZ3F3HwJ0Z0YZzZ1Vjltj3 +E4sVGZBSrhpgna1GieRkDnhjYHvQMxGnY3yeJy5V7zA3soccTyM3jfXjpD6Q +dvDZL1NUVjGL9OtXJCoP3Mp7SvqBBTwgOT5+HsOpSJVJc82D+w8bSYGhfjSW +BYh3rEqE9VJa4+LtLOS+uCKQtSYR7w6qeUfvYJHj52RVbsM6uXr4aqWXMl++ +I3mSlEo8UTscxY+bVZ3ZHtvSh1VlXzrYr3PQ+m/NXbHWPmSkOC9XLcxBQAax +Rn8JDUnNumI7p7Uh2veELkuGhhv6LeIRfm2IulGlAIFSFD6SevmBxeFtnR9s +LYQJOO1bHmscEED2H1Uejqqe4J+Hb3NrOcylj7w/UcGPrSQulpD3Y9zvjCzj +xmt94dQibNxv00PmG307eq3iUppJfOA+YPHLVuP9/+QDciHGLUcVpYBK3Nrc +Kk8lP89OUnliXlFNxr07w4+Ux6dFk/xinKc98wneVG3UAvnOjyy1HfnkdY3n +N5qf/3DVDuhApHi0zBP9JPL5vur9Za5z8iOJE8bj9P6ztW3mMQkyLp8x587u +6OVdJO+IWNGbuCe4l/RraVN8C08fZ5Jx7WNL1n4tVeyHctZ04VuNbWRcetzv +HGvxcf8nnUWe71T+2Y4vYgM4wZsY+DrS49fVuW/DxEBHNmI0k9tFmzpJP7z3 +L28YP2/vGDtCUY4OkROSMu83VsL+VcraKhU6ts144xnzvAqW5qPPN5zqBdcL +vT1LwQte3UQveG7kAQXnZTXUjU/2QVVAOi0qkYLVlwNs9on2QSfxYZDdEwp5 +3zfy1qd2ojl1j0T7YRrZX3XpwI1byb6U/6fnODRto/ZLDTrKlSTXBXiWkXp4 +/kUXmbkC/HWU/817eci1PDnyyH28XiMBary8Dr/+IsRXqqjqPRPV3HTVvA9k +naHAO+7CsmyyD7o6D6/TkcylPcur4WjdsnXiBSYY5u9Ytx4noc4K3V+9mejU +2XXS6Xsq1mxcbajxjAmFS3bWsZ2ZYNoKOcYGMrH1XdDPeUsyMM0nbKpPGIG5 +63bPX7e7EbPmRpqnvCYw2pB+R/JjExa9lHY5tZHAKYkuiU9n8pHovLh/Bmc+ +tihI0ty7s4CcJ3JZvSdfmNUgTu5YU88uvj78eB/lXqgny26kYDpvXSVfD35c +r/RlgpyRmj1fH75XhelRdrMT9LHnih8EP/4/vfiYZuoXAZFuXOThyEHSbovV +K6hSJ+rw+l8iYr4wHSujW/L0XPl9xnqfqeycLEbHtZKywdWq5Xg8a9aks184 +9pH7xOlLFQWTClpOhJbScdHupOHCfyiw2t2v4PyKDueXOZVumymQ9dk1IXeM +hv4jDy/t1+P4c9cVkjEWBFyOf3sVpliGfde1lxdz/LjptM8By4xKUCD7T77s +PwQun+h1PdH7Ab/elkjEmhB4ukZa9MKfYqzR+yp9djUByos227VhWUiNt7t2 +SZmAwgbb6trvmZCb9ixx73ICHWPBj144JyOslrbbmbP/LFNO6sDZZHg1vX+U +tpLzPGb5Eb8bUyH2caKdBWefpZbz5nlQKuoOhhtUTOHruY/7CV3eej/+uGx+ +6C4rJ8MARe5yrdxlAgsUE4UVE2uxn5df4eAtXn6FAj0xYpfVLQIFdraxzQvq +8GDpb0UpL858EVU/O6GXAoWpv1/QgjjX91zCz8C04e86LwI8dypRj59R935E +cfZDauVDa+XrodD8QKn5AQuW2an7s1Np2NMWt1lAn4XhXVerH7yhwVOx2/97 +7ADC3OdliYbToNa6YVLMZBb+LNvsdCuahpZW7sZCVjZ3o8G2Jd5QQZINrW1h +h2LzaNB2l9v6JJaN8sf1by0qaJjyMbre35WN4p/K9oHFNPQFeke3FQ5ixm3L +f7930RBKD9zn+2oQ+xe+q3LqpMFaa+JdmTmDkDPJuSVdT8P031fmKmsMwl3B +8FRxEw36vPwQBS28/BCBkYPEaSVtCnpnr5T7vLcLi06zk2dsp0CLyyuv8vXh +P3oemb9QuBudFZJNo+58vfg5LQfkHFtYOO1gKE5cj8CUzweKXrFYONJ4TGXt +9pj/wiwcPO4QNbDmXGYnKnuuyD9wo+Hmoa/mD753QiN+xdMFd1vwxGx+lc9W +AoPK83bRZrZg0d1NzDSOvaooDg55vC+D+svPh7Nf9mE4InRlU3UZlE9zF1z0 +YZnzOnNhpwqorSucuGwuAxvU808dGSlH/sOmkZIZ3HVpVy38tdmwf7L9g7dj +Ath5qLIIYqDT2M8u4UspdgduW0S5y4CAzuRufVYppIy4A4Gvty0jzd0ISPLW +uSZihYn0chPOvpX/+sP+6xMRzVuQydff9sw83KmkRcBt4/OZx63yUL6mbWVk +PF9fe5at40uWLV8P4JtxhNscfQJej5bfCH1eSM43F2y4dXpFMGjz6j6+na93 +naO+sSNpC4GGwINW168WItzb49E7jn8LlQ74sOt2AV6xNdOaaBSIOQYLDxb3 +YEvVNuqwBR0/Lm6VLjpSi/JV4UF6NnToWCvGqHDGi0p7un6zIYF1N5YxQqo/ +YEZhVOEXdQ6uvn5tfcGWXMgap9R3bCDwaFON6Y3eXFzn1m3/acIXLn7cz+FJ +wwrNFBpfn3pcx3bOoiH/SXp0mMSX1AnGMPFKtPH5jbpsSHDL2hIJaJsuu5Pi +0IyUk2+pdAkCa/LVbslaxZG4QeL2500XDOlk/5mm+SZV2m8S4Gl1eN5KLb6e +7Hh/GZFLFIdPInlQVvG4mjN1AN4VctueCObhUAv7bb3kACqydoqFzcvD5cnT +Fy7g5h/dGpzuCFDxMfZx7/zNDBh8EygIeloCtcQxX+Vafn/bOjkJ+sJLNLhp +mAutmUJg5j2jkWefaBAdGLozzLnvOqu/p7zPY8LUa4eTyexcsp/cxf2PTTrm +0P/+HgLRFiNe7X5Ush/Yubc7JCzLOfgjSF/vI+fz+25Loxs5n59waHv3So6N +7JkDtOItCVj7wO5HTWsZim8KeYw09qFBsXbCQT869OM6xAd0KJjZkvawYRsD +O2N91O8tKcWInWPb4gImHE5tEfNTykUza6WH8VcWLlM0Q4Q94tBsY+dxN4Pj +rz+//GeCEhUZ2qnUwoI8BNhuuc3lQ2sn+3h/7iPQq+RI++BLReCazR/lL9Ng +liSwG3M584eyT+DyqES0+HlG3g5mYcYyT40Qr3yEN1Td/cPhxbse/7G+1k5D +mrON+FHO/WkcYExUCCvH2cfO125PZYBtNG1Z5QUG1P50Fxh0lHL85h+9Px0U +JJaKt9q29WDI0vugrV4dllr6JJ3n3D+xlY42Y2uSIXWtiDZQyoJN9L1P0+zo +MI3a/2Ntay1Oztr+LWGYCdFnTkJPvuTi/wCTG0mZ + "], {{{ + EdgeForm[], + GrayLevel[8.673617379884035*^-19], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFUjtLg0EQ3HwmJl/uywMCKrEShURQ7PNQKxGsfDSWakQr7SxtBatga+Uv +EKwsFXyRGGMhFraCb0hn7QxzIGRzd3uzszO338j67tJOYGaziD5ENzR7RNwl +zU5TZj2sawBMx81SCbP7mNkRgJeB8kHGDD/rx18Hda/OrARMMWs2g5phrKXI +7BA1Yd7sAJx7KdVbVus37j8QK8AEyM2BowGuZZyr4Kgg2uC8CMQzj/UcuiaR +ewDNNfBXiC54s9BRBiaXkfZmUpozOJeQj7AmEUXU/Tr1px562U6Lizzkb/se +E9By66Sd3PRP/BPyb044nnu+F/tsJaT5M5LuRk66ecc835JcxKfz8voObD2u +HH0V8noTvk0sq75TkTxRHzHENv2ePdjrC5hReLlx8kY/zLP/EHhq6DHo58O5 +8i3qfk8+aq/6N39x8k/vnAPznHcb/GehehPHuw7yP9H/bMv+nci5APyx0zfF +GZb8HDdCzZv+2b/u9SwCf+Lkv4D9OParqF0CvuJUS39jaXncDFVD/D7WgVB6 +Wrh7Tkk/tde8fuZ4R3zL31P3H0lBYCs= + "]], + PolygonBox[CompressedData[" +1:eJwtkjtLA1EQhSeb6O5m1zUQiK9KFCKKpDcSCxvBLtpY+kIr01naCjaKrZW/ +QLCyVBQUQ9BCLGwF3+A/EL/xCDkw9845586c7PBKq7kVmNkIKIDeHrOxvFnU +ZbafmgWZ2SLn28isVjJrgPVYd2Xq6wRt0Wyb/m4kjWsbmA2gTfGrwt0DVXrH +8FvwHyN5VODU4W6guaQ/Sq8OZzmQ5xT1Jnd31HOBPN17Bgxm0rjW3+jhraHs +v8cuIecftG1wEJp9gwqzp6CdM+vAOaUeB2ehODX8DvPKIEP/yfki0F0O7wm4 +q2CB8zn3r6nqNe5myeMqEcd7PrPvMs/7J5F28t2fEmXlGbxxLoMl6klmukfb +AVXqm1CzNmPt7jP3McN0QZl5dh+p3vIZirz/jPdOUbu5Rzc78PvT9MM/SpSJ +Z+EzxSX9N+7xjtdLopl8lnaobB5i1Z6RfwP+LXgmX/B/AW7lQyo= + "]]}]}, { + EdgeForm[], + GrayLevel[0.12864147175702784`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFlU1slVUQhk/vT3t7v/vdW+MPoptWDIWyKNGo0aCLYqgXFkaTYkLiQtGF +IWrShaZu3bjSBSYsMJbqRhcYTaVIWlt+GpBCgY0xVXQB/tH6c7EkhmKi79N3 +iIuTOd98c+bMvPPOnJ7nX336lUJK6bRWUWu+LaXPtdZqXSqndKw9pQXJ4UpK +n2hNSj8q3QGtPW3+d1T7r3X2SEdKO2UzJDkr/UHtT0hezFP6V86/z30W+/cK +lsdij+994R95MPYj+rdbslf+f5bfpr4/1fdVndup75bk+UZKv2h/TvJ42XEQ +T6b75mT7di2lQ2224Sx+/glfxNqru6a1/6Lis/ggbiQ5rq0bl3fkZ1fF9pzD +dijuAjPiPK/966WUxiKvscCK/bc6t6A1ofVlwTlMSQ5q/aX9WZ0diJzYL7db +P5eM64dx731dKX2j/f1djvtiwTE82ylfWUpb9O83xbpJcfTL5jvp+vXvLelz +YfKa7E/of4/+j5ec43XlOi55Rn5Ksl+R/YaK9csRwwadeUG6TfK5WeuU/LRq +zo888UftjkTdWYcrxnFF61q7/XFuOOq7tcP+weF3+Top+WLDumuhR8e91BAM +dgUOzcAOrKgJ8c7o+92i78A/HBsNfpIfuZPjHXXv10hu1LkbZevvKZn3OwqO +GT21Gg+MwOFG5IM9tpfLri+666Endr6JH45fChvkQvjnHN/ciY46or9Sc0yd +XcaXXB4VJk3ZDJbdSyer8tdprmyTrr38P4+Qc8HDy+F/d/QS/JwIHtILrGZg +SE/gqxmcIiZwu1BxDcD/1pL90I+tgnmPz6pi7ZPdYs2+D4Xv7qKxe67N9dkS +NSI+elPmq72+LzhD3eEEeawrukacpy/QT0WOfBNzK/boqUtf9Bb3cY574A69 +T0wj4v9e+X1feO4PvIkfzh6OGGaDu/TFKpbh5+/cHH+z4Zixg2P3yt/tRWPx +R3B4a27ej8ac5M7Z8InueGC7I7AmhqXc+F6RPK0e/Coz9vNxB/7PNjy/5iW7 +xYG5zL0EzusC6yHpf8pc588Uz3b5X8ydM3G8of36Ds8fsHqp6vu4666Ydcy8 +c3Xzar7uGQoOZ+vGFjyo3YHoe/KaCE5Rlx+1X8o8oz9CVo3vU+LJB/p+PPdM +OpN5LtVzvzn9NfPjasGzjRrBN3J4uWx8eqPfZ8KG2QPXieNh+X9CPgck10ve +UvXsLDbsAzzGdO9k1RjQT/vD/0jcRy06cmN+t/I9VfPd3Q338tF4EznbjF7m +3GDsmangvCd6a1v0JjNhOWYg8xduM4ewZWZNxrvWirn3WMP6zTX3PP6Jk35u +xhyAU3vjLPyAh6vvZc1zqJabr2CzRrqHlPeDVffbsOQPmd+lR3LXs5r7ncZ3 +qeFZDJ/hNTVpBea8hfCkIds76+Zee24+jMZ796RwfiBz38HTnqq5urFkXzPx +/k7H+wUP+H9z3iH/rPl/K+oCjnByLt6OgZgVz8j3r5nfcHDAHj4x/+AG8TRj +Ft7suenwybmP42wruMfZlZj9U8ENuLc9/pMDNsi+2N+mGBYzv0+8u7y/BWHT +VrfNUrzJnCH3/wBw3mh7 + "]], + PolygonBox[CompressedData[" +1:eJwlk7lrVHEQxydv3+6+Y99uJEo8ml2VbGJQI6IiSIoIKikUBKMIaUQECw9S +KPoXaK0giI1YeBQieAYRwSIRk4124pVKjdlV1MZ4op/xWwzvO29mvnP+avuO +7DwcmNkAEiJTFbOZotn+yKy7ZLa23ew5+BSyBnw+NduQmJ1Dv4408VnB91ee +GGLvY/uD/rVg1gXPZo/h3wOSzODbgb4J+1Z4+sGX+e7Gfo9/j/LycV/nTLDv +gfNGm2p6Cm7i/yM2q2PfG4n7YqxcHue2EJ/uSD4f4HsYKKfnvoptJT6jReVc +h34Qjmfg2+S5gO0W+iSz+EIPVXIeoq46+hy+JzOzMzmzmwxrO/gN/3bEin0R +KXYXcicSx2Psq7CPBcrxmXrGwWfh6Ie7s2x2DH0Z+kJwX0k2z3EC/pbPl1w9 +vhzsg8hx8FLkeyZx/Bf/1+BO/GuhfNzXd+a785x94OlUNXutL5H11HoNfTTS +Tmfh6AjV8zhcARy9oWbos1yCvpxcDfpdDK5kwouQMngefKfhuwTXEHIU/VWq +GvyOpun5N7N/j0yCa4luym9pBJkAVxNhj+lt1y36/D6R/yezHI61T9+x77Ir +VS7faZMaBgP10MrU2xXkbqQefYY+S+/pY0m3+tZrLepmfae+W5/hHHgAOUCO +bXBspJYEnTB7Qr9ppl7nJ7pF77mFPpbodpyzkGm3VSQAB/S8Ja8Z+Cy+4b8g +p5kWnRuZMN1EBo7J2RPpX72kN+Zvzf/Nor8jfiTRLv/fXFm1FfCZAg8lemP+ +tnwGq0vald9UG/awotvxmeXAjYp242/O316jLC6v2Wv/B94mjiY= + "]], + + PolygonBox[{{3396, 2978, 2672, 2263, 4146}, {3395, 710, 2350, + 2406, 3394}}]}]}, { + EdgeForm[], + GrayLevel[0.2194576613261465], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFlltoXVUQhlfOOTvnln1O0LRVn6yQNJoUa6oP0rRWjZj04kOLGhAUNNS0 +hfokYhWseK1CbQRBaQUx9V0QX4pPtqWWniY0sSJSo4h4bRWR2hSa4P/lH/Fh +MbNnrzVr5p9/Zu+Vjz+1bU8hpXRBq6h1NUtpvj2lGen3la1/XrC8EvpCZp29 +b2l9Kf2A5Gy79RvaUtqap7RDDt9tpjQkP5d4J59HpT9c0ZJsydcz0p+QPKb1 +T/ivSl6O/fOhE8+MZK/Ojctvb4fuk21K/muyF8o+N19PaUD2XbLP5dax/S69 +q5TSb5LntXqwS27Su11VxSOfP0u/ReuRin21lX0vEv/kc6Ti98Q/UvY77MgU ++0uZ9evS/7i0Fx37zWXjs4SD1jeRI1iTZ4/2lXXmVJt9DIcfMGQP+OBjNnDG +L7hkkpliv6pc+hXfVOb6EA/YD8VZ6jMb9VouDLt5r3OLmesKppxfr3Wi4Jg4 +Sy04x93cR61Go67fKo6JyAVs+gIfFvrxgmV/+FxQrIta53SupTpdr3NzTS/0 +guSyzpQ2aH9Xp30fDf/DgTuYE/PqirnTFnYwKxV9B/531VI6o/zOVixboa+S +vKZmLu6smgdw4EPpn8m+Sn42NcyTFcLpMdk31x3TlGRPzdylTtSbGv2k5x/r +xmW39m/XnlH5XFYzt8Bmszg3JtsWyZe0PpD+KpyEtzqzX3vuVM4Pyn6P7A/k +5vve3LWj36j7Q7JNZMZzIvoQnTOcvTf3M3UG/0Oy/aKla9IG4XtQ9j+V1znJ +LDPu47p/W82+8Xcw7ipEXc4Ij5M6s1f+fpX/R7V/pG6uMA/gDxzbLvv3sm+R +vlk995H83a7zFZ2/Vc/lhnsPbME401ote0nynaL3MBvKERsYg+Vk3XhekVyr +s6/n5hF9TUzUDz+npX+hOJ+TvFY+/667Pvu0/5Tsz8v+nfTummtJHX+QPKz1 +ccV1mK67Fvh6s+hcqNuhwPDZ3Nis6XB+k5EjnEMnvi01+8Vnf9G5Meteyf2e +POg9evCCbC/k9r9RPnPh2dFufuxu+nln0/Wit0vRr/TAsZjJV6N/Xw5ewS9y +ID/wLMS8YrbdJo6dln2tZFF+h/Ep+XbmfMkbDhwIXjFnmDFfyf+gzq+LmUOf +MAuI4XjsY09LvteUXK+V8rtHfm6S3Bp4vaHYni64tuA51XCtWw1jBU7MFfYw +E9m3r+J8yfHJmPvjTeNKfpyZjL6nFsR1Kb4pxMtMYDaQX1/UlLwXY15Qp7/K +9kMOpajj0kyJWcoMOh7vuzrMK/j1R25ewS9iHQuevBdxEu9Y5MEZ7oSzxEr/ +0HPgjA/yJ3dmG70MtndFbTY2HRfnljhWcC7n9XwxN+fh/kh8O4h9UPZh7Vkn +eX/ReIJrFjwipr6YzeR2hzhxWNy9u9N+8QlHqSGxEWNXwz7xfVmJLpd+Y9Ox +YOcM34nx4M36dvOGZ3jHzCJn5sZ8/EvUc8dWy/294W7ubSmWT6r+DsCrryvm +Nd8X4qUm8J1+oS6fav+Kqn3wveqNbxbnOA8nW+ED3pyNPgdLONsKexZ8wSff +iSNxJ3Wba3MNXoz/HP53iIMYBuIfYCo4gzwXM7YvsCE3eAbfqDXf2Wr859RC +J3d6lucdwQnuGIj/CnqN/PE/HX1xscN90tdpTIgdnkxHPMSQRTzESLx5xHxS +uL1fdc+sifnAnCBf6vtfznPRX9WG8ao1jBU9Bl7kNBF5DXS6zkO57yJ+Yppu +OqbRpvm0tDc5b+rWHf+fQ/FftBBzjl7mP2Qm/qlGw88ZycvxreSbCdfgHN+Y +hYitJ/5vpwIr9g7GHNufe3a8lnvvYOz/F5P/a9M= + "]], + PolygonBox[CompressedData[" +1:eJwtlElI1HEUx18zjuN/Zv4zQ422nDJKLZNcTi1aVJChHSrMIChoNQWjU2RB +RrvRYhAUtpF1L6JLdOvgwUmJOnSw5RDRpmVQHSrr8+V5ePy+7/f293vvV7p9 +34bOiJm1QAVQLmvWUGS2OWr2PWX2JzDbCtVztxDqCs3akFXEzW5kzL6iczFm +dgGqh7+WNPuXMBtHfg/9MeRVnBPIdyFfjf0m7Degs55YV7jbDZ8oNLsKHoKe +k8cw+sPgBfj7TfxKfGyB2rmrRR6i3wGuRlaOTiuyR3HXjSU9V9l0E28G+o3I +bqLfTMxtgddYDB5Gdx65HIA/A00n3zL06/F/DP0yZMvQ2RFxnW/Ie8ltEFyN +fQ2+9kKt1DAY8Z6pd9U0M0ibzYc/C38Jm+X4S5BPGfwaaAn4PvIJcCPyKPJz +8B/g+6AjyGvgL4MXQjn4AnxWFXi8cWSF8HniLuKuCNxErh2B56Aa92a8V7fg +j4dek2rTG/6CnwZVRj1H5RpPuy/FVOzTyOvoRz/8GfBb/LfTk2f4bo74m+vt +1RP1ZkXKc98JNaG/FGqMegzFmob/QxG/y4F7uLsrXWLOTXuNqrUTf6X4Pq+c +Yt6zJLIv0DxzH6Pgp9jMhI+hMwSejU0Jul3IB7CNpv1d1LMY+GPoshz8Z/Cn +0LHeQG/xBv5wxGfsNbg59Fo0Q7mUz7BmuZv6R+EfBD6Dmr1eqC7rs6EZrwU/ +zfgsK8c8uJ/+7ad/Lyd3bCq4h7s7RT7De/DVx90TcmhBfir03qtH61JuO5L0 +WZUP2RYnfDfk4zF4gvMnb1wed/xeseJ+NyfjvVWNY/i+TryH2Lwgvx+Fvrv5 +hNeiHX6H/4GEy+SjIOOz+pd8XmG/KvQ8qyZ3fS36bYHXrz/jZOizpxk6EbqN +bLVjI+B80ndIb6SZCsEbA5+tkSlmK7PeE8VYnPXe3A68NvVIu9mc8L9GOzo9 +cB+yVU1tGf9bNDMlKf8D9BfozzlK/BUZ303F16zk0z5LmjnNnv44/XWz8HdQ +u5L1t9cfVYG8OuUy/YENipX23ddOajf/A8bOpbA= + "]], + PolygonBox[{{3313, 855, 2410, 2716, 4149}}]}]}, { + EdgeForm[], + GrayLevel[0.31027385089526516`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNVllsVVUUPa/v9fa99t53O9Fi2g/RGmPUGj40ISZtNQzK1AFCHPpFMAVM +FFRwKg6JilPhoz8OsUbiR4U/ISbSKqkRKRq/LC2m6eQPrRGTPn5VXCtrkfJx +c/bdZ5999rD23mfN7md7nikLIWQyIWSxzhdD6Ae9Iw7hWD6E0YoQtuZCWI0v +g28bhKujELqwNkOuHnQZ+G08m4qeT0Log7IlfBOQeQi69mF9EboXcG6+TPwm +7M+BXouz9+DcLOjLQXuUaQHdAP4M6Gnz5swfKpP8Z/jWQM/GnPi0L4C+AvlW +2P8z/i/i+wQ2LIN3nLZhPQC7GyF6GvxO7P8C2/eaXwn+VHkIk+Xyoc9+7KcP +2FxdCOF3yHSnisOZWHE6VaGYUI7ytKe8KN+yWPP4WkFHRdk/Y3/ngmycxtoK +/Y9XKfYj0LevQvs8d61M/tBn3j+Fj0kjzRgyHuM37XOPMnfgvm04fznVynx+ +k5F/C2Ur8SZN+bXwpwm8iqL4Gefprlj21iGGd2KvC3oWsG7H3u6sbKhPdJY6 +eG7eOrOJ8wT+pUgxZZyqopUY/w2ZRui8DXaOO46N9osxpG+NxiLzTGw8YHzU +F0XXYb0KPatA/4W1IdYde1PFr2Q8PIX71uV0T1ssTBwuKu88O+371+dkA3kN +5lMP80E//4mF439j5T+NhIENOZ0lBrjynzVQsg+0n3FkPB/EegFfCfufQk9P +ohr8EeuvwMMZ4G0Quq/khT/m9nWegcwA5F8D/RPoD0F/DD+vw4aPsI6Vi0/7 +GfPrjvst0PcS9MwEYX7cMqwD5pL8Szj/CHOBmGyB3hcgsyuV3awtYrUT+4dA +d4A+GgtTXZDZavkJ0Adx5/mMauoE7l7M6AzlKD+aCneMK3HyLeQPs2cEYZ81 +fNG1MmQ5+tRnm2+vhi+QaalWjEZcL7yXtdznPnCfewHzTn/pN/O1Ja+cXTCP +drI+Rl3LE0Xl7lZiwzbT12bc1wThLqxbEp3tAP98oj7DfkMbnrP/Z9lvKuQf +7xu0nczR85F8Yt/6Iqv4Up6yjANjTV471h3Qf4QxSKSvwTq5LjsXrPGBvPxg +LLnf4bvWG4dfx8p1J3w6kcrGVaxl7B/PS8dQVrhhHYxEsokYZd0z98Qo76Ud +tOl790P2Rfp90PFfthxl1lkvc0DblpzrA5avDCv+0OaSY0EZ4mbRPm6Gni+N +J+rvN5+2UP6Iz42Y/gM2lcOvBazn4Pse2HkuVV9jX2Kd9mZFk8dZF27UaaQ5 +xxm3JlXds88t2gfeWxspn9O2k/FhvvpNU4axZszPpsLxkHvjd6ntiRW/PZ6t +Q+7llGHf2OYZMZvIvjmsS/DpbsyLR/H/JNYNlcohbS9GwhN715RnGWuQsaPt +uyD/MnrBppxmAWVoF+tx0nR7qh7F3l8Tafa3GY+HjMkavwFo+0iqPnLaPaDT +/YQYJ/6IPc6KJs8L4pF81vJbiezdBx2PwbZ7K4XjVwqylXa+nciHd7B+lVVu +hrHuhExvlXLcg7tPgncMMk+nisP+VO8P3v9wLLztdQ8hnrtv5KugODKGnAfE +b7tnWTA2Iuz/V1BPYT9gnTFfrJsB1w5z3mWds+5djGNLUZh/H7bdX62Ztgz9 +HaCvQuek31DEG/0jruocc+b51YJyzVwyRxOeUfv93mA/G/QcYrzYw5kH5mC7 +31ofQM8TVbKXcWL8aGe97+K97L3su8R0oajeWYq1X+uYM2YnfZZ4YO4OeZ4M +eb7zHcka4EyjXzX2hTiq8Tsy6zdSR6rcMEe/gbczVu2y5/0Av8cK6tmcc+yX +Y4lmEv3jzBkwJrpj+U/bedemm2Iw7JiyjjYnwuJcKtla21Yfa05sxf6biXz5 +PJXOas93xuOa3xLEcq+xwRhxr75aeyXXbMny7B2c/yXTw/Dpz7zivdHvhBbH +J7U97AfEWbP7H/se+w5xQ/zkivKL9zAXkd+ZlXz3xZI9msi+4LqjP/TrDfDf +S6Tz3UT7Gb8b/weV6n0N + "]], + PolygonBox[CompressedData[" +1:eJwtlEtIVGEUx7+ZO+rMOPeOkJrhokbpsSijRUH0UBda+UojsMKVFGpBQVZY +2Yve5YOIoBYFRQurXUiLtMJIs6JVRgWZugqjgoqgIKvf6d/icP/nO4/vfOf8 +z0017li3Peycq0ciSG/Mubdx5/oynDuPjCWda/Scq8HpdsK5BdjqM52rwrkz +6twI9l0h51ajvwRvxDaKTz+xXdizs5x7SuxCcA54InCuFt92YsbB85C6iM7m +gge4fyY5KvG/RY4p9PRMxRdFlfthTDa7o9x3roH68pFf1PcN36Xk2oKejd6N +/Qt3HUDWo5cRfxafbnLVRPSWorhqtTftJ/cKztrQ16CfIX6S2D1INfEfoqrJ +amnh/jmB8lQjs8HP6MHasHpSif9PclVgu0Y9x8n1OinfO9hfgacRswQ9FxlO +6O3P4+q99WCMmBC2POQJ9lPo1z3ltNwXyfEnnd4j1dgGkCFyt6J3YisnJuWp +R9arJs6aPMVcSirGYq9wdgT8gnpaiC8j/wh4yFfv+vC5gP8DZDPvq0Xug3Pw +GcS+E3sHegn3NaM/Rg4Ru8zeDK9G8V8OLsbeFFKNB9ELiJnOXfnoKfAJX73a +jX4U3MLZVfSA/NvA/Un1zmq4B54VqNZyJAV+5ItbNvNB8N2kuGsz6QNX+eKG +1VgJ3kQPN2SKy8aJLs5ueuKkcbMgELeNC4XgrUnVYsvyg7jehHoRRh/HFsen +KCLOx8Ad5OvxlHMdviX4zI+oJ8XgEFya/M81u2dvTGeGVyHN+GSma2Y2u8O+ +ZmUcN67n4dsKXxaR741Tz6x31rNj4DZs+2LKNeq02z0xcdd23GZqs/1qM/M1 +Q5ulzWgl9dYhNzy9wd7ynTsnPdWUmxDHjGvGmVL0Unb8HHcM8/7F4JO+dsc4 +e9oXB4wLxvnsQL7dyOWwYmwHbBdykE++ZvpvtsR76BmBuGI9joIbqKc9ph1M +o48TSX1Nt92MBMprPU8LtEO2S8a5z75mar23fS/M0kxttrZz77B/9FWLvdne +Pu5r1taTTl//NPs3/aaGqizNYkZMvbaZ2NveRzUbe+NUQv8q+6dWEP8X9lSu +RA== + "]], + + PolygonBox[{{4132, 2168, 2877, 2587, 4124}, {4054, 2541, 2388, + 2053, 4066}}]}]}, { + EdgeForm[], + GrayLevel[0.4010900404643838], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmG2QlWUZx5+zy9mzyz7nPGeJNUAwkNImq8miYpmwsZoVBZmJsJRWFh3I +KWAx7UvqkDAEzYQvJBCIOCOpEIvxKs1U1pSINH2pIIQFNl52hV12F1I01kT7 +//Z/MXy4576f+1z3dV+v/+u6z5h7F0xrqUiSZG8uSSo192t+VBuTtW7IkmSj +1kfTJDlWlSTtGr/V758qJcn0QUlyg+al+SRZpnGX6OeJwSTRbK7wHr9xviy6 +caKv0zy1OknWa/xAdE/p9xe1/wfxHK95u8Za8TitsUPrZzSvE90x0c0STV/e +/Kfqrhfz3q/Xuld0t1Zduf/WoHlNv9+j9VGtH9T5wxqf0/qs6G7R/lzN/5OO +Z0XXnFnuLq1vT8y7Pfj/pCZJ7q5NkuclU2OVz0LTnTf9jMQ8umO9U/O9otmh ++WfSeY/OLdN8tpAkT0v3fdo/p9Fa4TvXS45U3/sl3x8lxyrR/Ulzn/Yf19k2 +0VSWk+Q8+mj/W9qbNsg2Z+Ybv12nO/o0nxDNZ0S/WHf9V777pPbPa//xouxW +4TNTdPaS6HqxbeZveOD3J6XrZzW+p/PPamzSmCt9OnPWBVuiwxrtv655hfgv +0l6/+D8tmSu1d5X4NIvHcI2viW6y5OiQXn/L7Cf0xobovEBjrNaPys4zax0T +B0phE83jM8fTlzQ3V1uvDp1/Oex8XGdXa10nvqe0X697Nun7qQr7nzjYqlGr +cwT7fI0jVY7BDmTIm/7unP1yPnzzZuYzpzPHCr7Hfn3hP3Q4H+vvik9ZNJnG +TPHZmHeMEj+36PwarS+mvp977tRoFb9fav/r2hsqmT+i0aT9x2THc5qPF/37 +mqCBH3xPhQ7wgs+vQ/5rE+cJdM2hS1/IdjjuJP7vqfYZ6JGFs9w7NfLy+1WO +656IZ2zRE/pC3xS8uiLmsQnz2ch37Hkg+BMnf807x8lv4oMc5879QTMq5ztv +0/oBnZ+d8z3bIn/xHXv7w0dFxcSN4lWreWTZcfrxsuVpjNz8j2xer/23Msve +G7pczDmfOsNW2OmOnOOnocpxhW0mVDl+NsY+Nj84OEleVYxuKVj/pojbd3XH +MHJNc1eFz67UPEK0P9aZk4nteiRsOz1ylvxti33i8B+Z8fVq6bI2b98jz28q +LffinLEH/ELH58GrxLrMLRmf5mmuLDqvxpSMLftDzgNhc2w5UjQ36rdRmidI +n5+Lb3+l98B/sGB/5jMzMmM5uIGvod1c5ZhEj9F50z+HznnjBPaEhpz8qPSZ +JfsMKzuuHw6cmSOaZ0QzW/OF1PXgZt11qGhZDmq+hlysNH7tyhtbsRV1gbML +dOc50Q2XHEt09kyFffDtnPmeiTXzrPA1/oEG/x6LPOW3UZllujqz7VeH/cmd ++ZFr7VF3uBcsJv9zZddHfLdd46ey+6uSZ6nmlmrHdEvkOHciw5NF+3VF0fG1 +Me5CNuKP+BlSsGyn4gyxCq4uz1wv68X/+rLzebjmxzLXzj8XnR/oCJ/psu0W +7T9R9P1ngl9dwbxnxrpc8B03p+YDvy7F8Jka166OkmM2l/p7X+T1SdG9o++D +mqdWOg5OiG6mvjdofSi1XX6l9Snt36ScmDjYteUN0byrs4eoQZWOaeIZGWeH +X7oDV4g9fD4n7N+iWrFSsh3V3juZ+R/WXT3ae6LWMi3U/JXB7jl6A9PAM+Ko +LfKOnGwL/CHHyDXW4Afx/FzIvSH0WlXju7m3Qbx/qPXaasuFzMRbU8m1e2Tq +/mTZIPck94t2/GDXTuJoXcTwI9pv1f78yAf20Z2+Y2GNc5vauKjG9bFR/p6E +HcuOtbq845R5fsQsmIQ/kLtBthhfcI0itqk9l2sm+cw++doaed0TvQ2Y/5ru +3KPxUsE191zkL3W7LWrK8irz4Sw+fCGwiR4GvMWm1FB8SK8B7fLAnM6oAdic +GFiSN49xmddf0Pxe0TyPEEvSe3WN+1EwCWwawNLU5z4ffevSqE0NoSuxTv+w +MeoyfQlxTAz3p8bcSZnjG35f1vr1ov23Susm0a8uWK+HtL4/cnucfLBBMn2j +7N5zUvSiYHVj9JnUjFcK1pNeitikVyMv5wWeY1OwEfssL3r9zdT+RtaBPjl1 +fKUl4zS4R8zSK9M/kNfgIPujUtda8npm4AdrMIS5LvapY5ylRmBjejl0HBI0 +zYEPQwIvwKQhsU9cUT/wIxj3QPQI2GlL6Fsb9TorGVvJk67M+EH/yH3/0vfb +oj+AnTPjbK/mHdLhkvb/nbnOUJ+oNXupM9pvl5zHS64TJzSPGGTdB2wT2DhC +85LAoLsy27274NxfG/2awmngtwH8Fu0v9PsHBb8dFkZf+9WwJ+vLNlwb6wu1 +7mX+KR7fSa0TfTEyotebOfv/pbAJNY24wNePFO3bh4vGdXgiD7a5r9q+4Bw4 +xdn19Bv6bis6p/GByAb80BA5Tow3R59M7WVNzNOLgGETgyc9H3zBnXlVtuec +guVAhtFl9wsTwPzwC/7hDu6m36WO9UWP8my8Feh33k+NEY2S80jRMr6h+XDR +OLEtNQ5MCJkbIo6gQ++m0J33xOmwM/lFPg6874ruhfZoHlu2jceWHKN14Vfy +Fvq9QdsTuTYr3j4fai6VXCcPpK6ZxCo5RqyNiFgaeDvE+wGsvy/ePrw1hhau +5NDQyEFqA7FE3dgUdNDUp44T4gW+iwNLqfnE6sroE+qjVwAjh4Vdbisaby+l +fgvxJpqQGQP7Azea4z3bn9ln+G5U2XkJXvH9l9Q1Z6RoPlb2/jVl6/dQYBq+ +BJfB5MZ4D4Cl1BpqC29AcK4vagS9Jn3m6JJ9gC+uLTmHOiKP8EcWsc3beHFg +PrY6FvZaUeNaSDx+WjItkjxvp67X9H+89T4R71zeu+TxrugJeQvuDBpm7rhc +01lPjn57Z+zvzrueQd8W7w1q2fa88x+ZL8hGVyFD5h60NXJ2ULXf6ZwlRsE7 +7NWT2bbY+BWtV1JfNLeUjOPzNVekfou8n1n2lcHn95nv/V3mPmdd9ALTUtcC +asKOkBldeBshM3KCkciNHry39gWudkW/RyzxjuItPDH+D9ka65bI//aIVWIR ++tbo86mdvGN+FG+Z6+P/BP5XQK7zEXsLohegjuDzvSEbsdAS/PeGDOyjx+7o +J7Dl7vAFOm0PGv4H4g1DfQNT5kbPxn8S1NC58b6HL/wZ4Bh60QsNrnY/BM+t +4V/+g1lTfcVG5DE+PBJ9IHh4JjMGUG+R68OC5ezRub5a5zX8HgydVweuEwOd +kR8To2ekBwNz+R+NvuQ9Ykq27K01xm2O3qkueqUp0RMdz3zvrpRi43d8ZWp9 +2wPD6Yeo2V/MbLNtEQMfZO5zj6V+H2N//DAj3nRjxO9i5jgkHsEubIzvToe9 +wVv6afrqv4v2rVrXkO7M/+dNCXnpTclT3j/0y/xHhA3A2i2Bt/iJnMV34Cw4 +d13Z9RG5LvvtZOjFm6A7eiT6b/hhQ3KF3Dse+f5y5HlnZl93ZKbrDPvfEP9V +dmq+KXVd4/2ErctRI9D1jnhbYS/sVlH2/vqwyZ3xhsbX2GNDvAmobQM1LrWf +wQrk/T/UdQBm + "]], + PolygonBox[CompressedData[" +1:eJwtln1M1WUUxx/uRfTe+/v9ntsfmBKYWuZqvcyyBZWWtlkrVwpOKiurZW0p +YC+rLcuGw+gPUwk0pWjL7GVBTcxqK8s1UWv9U4FALAkMfONFMkUxtT7fnf44 +u+f7nNfnnPM7z530eFlhacw5Vw1lQm2hc2P4HYk71w6fGzi3FsEg+AdwEDm3 +MMO5aZyF8G8jr4QfQL4PeTtnF41ybjdnq+HHpp1bjMNHoYvhr/fObSVgBTrT +4W+CHiBeJTgf/n58rML/eOyPw+cFxudAQ+AX8bkd/jDxZiE7AM7BNhv/f2F/ +hrNN4LegOd5sZDsN/Vz4F9BvBOdDM9FdwdlO4v2IfjH673A2Eb4I+ZXo7gfP +xXY6OA0uRr8jZjV5CNyG/F7k44g/jH07eAvy96FT4NvAtXGLqdg3eLu7fMr3 +jeAPYlaTDsVGp5l8AnRaIruD7rIZGkG+DbojZne8E1kuVAZeAs6DXwSVgJPk +0wv/s7dcGvFZgW0V+X8Wtxqr1ie81e49dB6GPwylxpgP+fobm3LwVvJfSj7D +4B5kqzi7hn6eDoxXj9XrvNBqrRqqlnOgsgy7UxzZQnzuRdYz2rl7kBVythT9 +eqgIXEKMD4lVjc5JcBHyZcgaoAXg+7BvRHYe++3g61LETdIL4j8FxRLO9fP7 +JzPVDX2OzgV034S+8dZj9bqcfIqRZZDzEHgRug7+Lm+11h111x3Qv9h+ydl8 +ZF3kczzDzrrAv0KTMW1B3gz/fNJyUOyD0Cxvd9GMvYxtA/Iq5CVZzpVCg+S/ +Afx7luX8CfKchNku42w88qPgPuLN5l6nvc2aZuwRbzOqWV0AXQXfQYxx6K7B +tgp5a2jfss7qwOegB/E9oBrCT+HOL+GvFCrgrj6yb7sG/5G+5chmXzOv2Y+h +Xx+zmsXhj2l+8NcJ7oO/nLMn8XWI+14GvxabIfgVUCH+z6LzEfZ96P+ju6Rt +N8jHCe46j7MdyI6RbyX6qwOb3a+gX5CNhNY7fTNnQ+uJerMB/e/gf/I2W+q5 +er8utNnph2rBu7zpZhJzF7gVfAq8jti3k8sf3margxh3YztDM0FPqpHfAj8/ +sLtoBt5AfknactM3cjV8dmS7ZQk+tmgfQMPwg+hMQfZ9aLsrTs5rNFveeqGa +XvD2DepbHIu/k/r+vPHaMdo13d58KeeD3mqkWilGG3g3s9JJvt+CG6D6pM2U +Zkkz9wXy1qTJNkIRuBHciexAltnu4ezT0ebjqLfdop1/BL4mYTbS1cxuhN+W +tBp0/j9zmj3tqN+4azd3njDKZmAq/EDKclBsfbMtuiN8LzQ3sDdGb4121Hr4 +SmyaMm3Ha9dXQM9l2Nnr8HtDe3u0I7QrmqC+uO0U7Rb1XL3X2Z7Qdox2jXLq +wv6KtM36Y+QyFf7alH2j+jY1x5Mjm2XluJ9cZ2NfF7c3SG/R+cBmRTvuXGA9 +VW+181cSrwp//Qnr18f4S+F7JWd16ik04O3b0Q7vh88jhyfwtRzZpfCvRfaW +6s66e4+33a43Vm9tc2RvhXJSbpppzXaN+ofupLTtJvmcmLZevZqwfa6e3ezt +7dU3WaC3hNwK0NmMj32cvwKeCX4X/DQ1GfH27WqHnPHWM/VOO127fULactdO +0W752tvu1c7W7s5PWgz53oTOPHTWp6zWufDPwi9PmawWujVpOSi2anYkYTqS +aSfOSFqNVVvlmJO2XmonZ5PbMyl7I/Q26E5NCeuBaq8ZLwcvTtlu1bvTG9ku +1X+SHvid3mqpnaTdpB2pXak38hD4P0WSVYY= + "]], + + PolygonBox[{{4155, 2963, 2432, 1190, 3694}, {3692, 1188, 2430, + 2722, 4148}}]}]}, { + EdgeForm[], + GrayLevel[0.4919062300335025], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmQmQldWVx7/X3a/f99bvWaMRI4iWNWbGGFBEUFtFkGaTLYkTtoBA1HJh +TXQcxcxkBNRM4ohRQSOOcclEHBNJSks0CWo2l0SFVgGhWboRUFlVJCxG5//j +f6hUva/u/c537rn3nv2cd9LUmV+b0ZAkSUNjkuiXDEqT5MJCkqzIJ8kiAdbr +vU0IK/Ss0/wNjVv07eHmJHlQ8/bUOCfkkmSTxo2p8Zi3B3yDxg49M0XvNa35 +ntZu014r855vTbyuMzVuW9Blzzkl0SgmyQ7h3Cz8R4S/sMH0OoN+e+zHvhcL +527hDMv7+8bAuavZ8Kmisy3O/xPRKTZ6z1TjMc3GA6czzrwh6EIHXOiCw3kW +NhoH+hvjDMyvKCfJmKLPebfOP0zzoYK/rO9v6Zmv524914vPa5vM+xH6PlxP +h2g/JtgfNO+pZ7/2+UjPdTXDflDR3qI7V+u3a7xfNK7Ts0s4PxLsXzVfpfXj +qknybdH9ceZ92ZN1U3W2rjrPB8LvXpdMBO+mcaHGf9PaDVr7aYP5vEjjjTr/ +8cJ/T/hXa+03Nf8kvj8aOEdrn+d1tql65uYNR1b99H6Bnj2J73pPavqc987U +5+S8d6Xmw7tas0DzFzX/stadpucVrT1LZ5he9hkH6T4V7bdffJgg+FLBfyv4 +RM2f0vx5zZ/ROFnvL2r+K86s+XLNL9X4tN5f0HxJwXu8LPqjdd5RzdbPM4Vz +VdnyOV57/Iu+f6b3ifq2RXcdqOdBzS/SGU/Styv1rVfJd7hCNK/Wtx6Cv1Lw ++dljnL4/KbzfCKeXaJ4o2K26R6dwluoZmTPPZ2ntGK2dJh4PF/44vXfXmuM0 +/lzfxzSZlzP1zBDOJaI7Xt/2SNZjBetWsT6il9xlsnBGiE4/wUbofj/U+iHC +66/5hXrmNHl+U5PPPEW4PUuWQavg8wVvEfy4itcd0vff6dtXdOYf6Ftjo2UB +T6A/vDngResZOgadgXrmNdlujgnbuUzfTy9ZD/6Yei04Zwh2edm63FS0LWFH +V2rP78Z5pgnWu2R9yhetl+gk328KnHEan9PZZmi+TOOzeqYntmXsGD92QE8Z +XdLYo+B7bRfOibKH7wjvJI1LUp8X+OiQw4ea3181zcnizdPCuT/0dpfusTi1 +Lo8JmxiCT9Dzez3aIjm5yTqHjNA75t8Q/B/0XtXaa7XH41r/1WbLdXtm+Aca +H5YfWK31P9H4nnCOFXyocD7JPF+j8yzS2Z4WrYUaPxT8PH1fL/yf6VmntT+t +/X1v/N7I0H/OgI6MCDkiE+bIfr743V+87pGznIYHvCwe9dK+lbr1pTXkiG4h +95bw2yOD/pH9Co3+3ho4/6wzHRTtxTr/Jq39dzFqmuAfiBf/o/k+zbfqLuOE +c45wxjbZHu7AhpusHy1hq9jsj6rm8xdT79tF+3XT/AnRy2v91YI9VLOPurFg +P3XEH12T2E/hD9EZfNP1cR589Q0F++u/Zab5aWbbgB93iOYhvXcV/KDGF/Us +Fv4LGk/VvnuFc7bOtixvOO93aFxUsI+9XeN9enYmvvOPw7c/WbCvZz6q0fSX +6C7jdY6Z4uFg4q/GjXqOTqyb/xHnb674Tv+rs+Uzx8hiZt0vhf6Pqtl+Rmus +N5iv+Bl8wdOh238U7afw1Xnbx+zUfh/dfypwtklP3pSevKq9T0Y/SSpEb1fq +WI4trdC4rOh7InO+Ex/7Cfaf+naq5m0af1O07KH/XOz7uzhHTy2b1OjYRlzr +X7C/x/7g5e8171NwPvOnyGk4I2s5J3GYta2icZTWL9CesxLrNX4a/e9bcNzo +DB9GbEG3jxE/p2r+Ren8GzrnMzrnvcgsdbxEjt0Eu65kv0Gc/laz/T73u7Do +O94U/hdbuVnwVsFbcvbNwPHJrLss1q4WznNF68RC6dswvT+uPV/Q/PKS7/mq +xl8UrUfzNB+s+fn4naLfme/W2K73t4STFm3b2DW++QvNzhvQvS6aX0WeUHFO +lFQsP/C2x/fjAqeG72mw7/pC+HnWvC/aq7XHa9prXd66ig3vEHyt4CsL9lXQ +QrcHFs0L+PC3qu9NzPx+3nr/GH5eOJPL4WP0fk7E8UmZfeJfNX5JNNrKzpO+ +HHkEOL219s2y86GJwtsq/I80vqv9D4l+q+gN0nMw5i9XHZO7VuzP8eUriaEa +z9bzkuZrqsZfrfEa7btS9NtSjyti3qGzbmyyPfaV3qSCD64bhr+bFj5nY8zJ +i8mVyY1Pj1yYmDVKew7SsyLxOTkjd7skzgMcez43Z76s1Pz1BufbXSNPIF/o +EmcnHt2Z+e5rq/aPxDliHPr5QuQGc2ueD6vYfrBD4spTEfuwzdUV59QfZ5YT +8tqdOF7hW/FBM0VnieazNM6v2Y7XaByrvWcL/86qY+eLQf8K8jjx6qXU8eXl +iO/rmxzL4BU50JEaZUzVedRRNdsOtkcMuVlyv0B0nslbL/6pZN34Zi3yLq27 +vWb6oyuWw4aQ12qtv7jR8n+74pz3TN3xrJztprue2Vp7r3C+Kzq9c7ZveDxb +uN0FX675r7Xv1JJ9E2fCxrCd8yrOD75Tcz41MXKqPoJ/TfDWqvPNKY3OOaeI +xrORiy2MWH+fxq/UvXZfxT6eWoX4Qpwg/p2Xc96APB7VOEzvneF7kQl1B/t9 +VHYu0kX01pRtM9gL+S/wWdh43e9/1V7rpES/1DMwZ1n8rMnyIBe+KvLhr+dM +n9jUmjOcu0xM7c/gxQmpde+JBscEYgdnZC1352zdGu33D9cyFcepS5F1xT58 +cs31aHvUkceKV6eVvU/f1PEE3hMbO0K+xFpsi3z18ZrtcZLoXZ7afrCd9qgD +0bGfNjk35xtyWBayuCdqIXK+bxG/BP9D6vwbvrB2ZtRzxBrkyp36ks+IxxcJ +/0zhjsmcw8/R9ymCjyo5Tu3WfECZJMp7cwZsm1xpfdgC+Sn1Ajp5GXVP2fk1 +42+PzIX/7cgxkvDtzZnznHVhp9TI9ACo8feGn8RfUnM8WvZ9Jui9XfBt4XdZ +g/3vbnYcxo5nRZ6NL7q36rwrH/kbOTr5+T70KPQw32T5YBen5Y2HjH8V8sOe +iTnEC/S+W+gCcYJ8hr0m5ByHDjZ4f75vD5wF4c/x6+j03Mgf8AHUYNh278x1 +bK/MtewjUc+eGjkqueqszOeYkRnG+fGtyOrBsuW1Vvecr3VnZa4viKvkpp1V +37Ojapt84khNkTl2Tsucl3Ef7kIdQD2AfzwYee2BqmWI3iJHeEH8hL/UE+CQ +935eMY8S4Y+vOb+foLFHzTxuqpgu9RN8GaHzP1A2v+Hl/pAd8YQ5sY+77ov7 +koOPDTkiJ97R8T3xDfjFgu9tsC2Tm/WJXHdezXHkFo0fas/LBH8oc26FHWFP +xA38FfcarG99NV9acQ2BTKgjzsmcH5ybuYeyLGo99iMOEYOOT+0Dl0TvAllT +V+Ir6HPRt8F348MXVOzv2R+f3yd13g9t4i11L7nEOalrAb611O33zq+b1/D8 +s6pzN+IQ8iYGrA6aj9RsZ+Tm2NzasF/0dk3oMPkpvg5duoH+Qt7f8A1/bnIN +h/yQ48zMfmV/+Bb6Vnyn3rot8zluyex3Hwzfe3PV89aKc8lFZeeT36g51o6p +Wb+ol/GNLcI5t+R4XwzawKvC6yX8Ss115MioKzc3O3fGj1CLL4t6HJ/1WvjV +USETZAQMvSDn6RIxlBwF+SwMGaGD2AZ6eA99mrJr9EMNlik6jC4fivnQkvHA +IYbcG3EEPSLWNobPOBg8p4+3Ie5HTtQ3+hz1mn0D8Z94zn2RJTIthZ1Sfx8X +9TjyRu74MuySnhc6fHf0GIdFn5I4jf9NM8dqasSO8A89a47lxPQh+r5E/n93 +arsn12uJfG9GzbqHDhJv+oaNXVNznPi4YrunpsH/9K47hk2ruc80vehYgm4Q +m4nXW8J3kocQc/YUHXeO0rwBPUjNF75jC23k8kX3vVZpfFvPX4jrmWMCuWHP +gusC/OCvwS+5pq2k5im5En7jgqg9b4ycgvc3C37vF3ntgMj50dN50dei/zep +5DrtT6K/hlqo4Jx9avgu8khqRerBgXFH6C0N2uzfLbOtdc2c71wbeB2i97ro +Pi/cLRH7iIHTwm9P1/hLfV9adE0/T3d+j1664M8WXb+R62DD0Oe+o6vOk75a +NXx26CGyHX0kzycG5Cwb+g4j45zD431G+GTi0NDoOY2PWuWG6C+Cd2zUT8PC +Rw6PtfAXPuM/8NOdgbM+eEdvYW/F+dR06cxt4bfx361Rr6IzQ2Jf8NGDsal7 +oA9X3FN4ouYz3Jb3OTYWLBfWURtSQwyOunhO5PmF6FfQt1gnHu4qWRfGVOwT +yJUGBW/waffp+4Si7/COxu16XyH8AnmT5mekrpdaQ28PCLZFeJsK9gHXBv/h +/ajgP7GO+Eu8I1Yyx8cckQ37HqjYn9Cfvqlqn9U/c3wiThFryCmYE5epX5Oi +7/lpo+tH6jnyhbmBg65tKlnfzs7Mt76Rk4CDP6K/NT/wL604p/2/mvOKw7V+ +4t7z+JL7GttE81DJvecRmi8o+Z6PFxzjsZGc8D/Wt4bUfuqZqCM2CPax8NcI +t1PzjqJ1pDH1emRJn5G67daa83Z4dFLUp7yT/+O7Lon5XvYpm8Z+0d6s9w2i +dbvmI4vWe+T3RpyPGola6fyK/fnXg//oD/ZIPXlR5npmZpzhkjhH96jXyLW4 +07K41ztV+3rq4DObHPvx7Tub3S9CL5mvC/ozY46urow8GZ9PvOOd+NWW9xw4 +PqAt5sCYE/vKeccj7rEmauF3M/e64AH7Hoz8Gf8zpeI4uljn3STe7Cu59nop +eAo/4dOA8JHIaUm80xcE7+jIx4aFblyUs67Aky5Re/H+36J9cdG4w4vxnjOP +uTs9HOqtetQ0/Ce4NfJ//lvbFrUDtcCWmJNP4ZvIf6hnuT93p1++IHrmy+P7 +yqAJDH0apphVlJ6cXTft94KfxJjTc/6v7AH+hyk5v6CPjD/sJl7VapZrVnOd +2jN8HSNryZn4X43/1wZklue2oH9B4B7uhYr2f4W90NNZFrbBvbfEOW/V91tK +7g/9UOPnqX3TJ5pvFB/Xav+hGr9fMu/3Z85ND2hM6v6/J6fxs8z18OfUVplj +5PvUGlq3FdsruD+NDyfXhd5tQXNI0efgDNRJ1NbkINfH/3vkmSMihuD/d2Tu +3+3M3P9eGzVgTjTqZee518X/iuQwHwm+nngm2I7oF+PjHw5ZowPNRfti/DB1 +P/YIf+n3tYUto5uvxv9wD1Vc731Qc4x8Mnrd+BR8y8qw8Z1hjwNiPT4cG90Z +PeFVBesEsoX260Gf/bAN7IL9V8QZDtOOOf8LLo4e8tsFxxlygu6Nf8/1yBPe +CvjIeN8TZyAm0rei17kqzoAukWug/7W66/tq3XGoX/QT+N4/cKhT+0Z/iH3e +jr1aUsuBWoP/P7C/fxSdd2vus28J3X4t9iWe847u0mdfHvU+tcGCyK/aJe/9 +9GUz53MtQZ9+CrXc9prt9fmI60vCN+A3vhe+Dj9GvtkZ/+OTY/I/2uE6t9k+ +ETh9lytT6yL60BH/U/AfAv9BQ5+4SqwltrLn7IAviLqV+hXfCz73/5LuP0fz +U+rmBbATqL8ifyEXuiv+B+f/cP4nHhT9fOqTQtQvD0T/d1XVvn9O9HLQA/wX +cqH3yf+7PcIv7Y7+BnGbta1RlywP3wVvNkftw103xX0ZeccW6NV0D9+L/HfF +Xvhp/HUhRtYQ8zbFOuafRo1DXoFerw4/j76/EjpPDYBs4P/s0F9yG2oUYhL+ +jfywI3JEaq8+gQ+P4BXnp6eGzuzU2F5wzEG/3ik4xrAv+78Tc2rTk6M+3VFw +rgF9/NWm8Fnk8muDDvUMPW5qTWSLjJE7ekL8pl47NvqN9B3ppfSMfgq+gFhJ +LN4dPWR6yeSW5C/4D/SxR+jkKalzDeDUItDhv4zT6u73HV83rEfAJ1bcW3tM +d99ccL7DXu8XjL8tYtCk1LEEHZ8Yes792uOOrNsY+TQ9zhNTyx+/e0P8d8I9 +Ngd9eg7nhj021o3fULesdgQ/4dkZ4UPIKTjTttAZdAT9ORQ1Lvq5MjPO/Ir7 +K7sKtjP4dErwBPmwNzJ6MzNOm8b/B1Cu7eo= + "]], + PolygonBox[CompressedData[" +1:eJwtmHeUVPUVx9/Mlpn3ZnfekIYIK3g8AaIgSBcxggRBEEHOSei9RCQ0lSQG +jTnCKkY5dBYpSYwGBZWgOSgiSNFoYiLCgrI06aD0snSQfL758sc9c++79ddu +mZsHje42KhkEwW2JIMjnd2YmCI6ng+Ao+CJ+54VB8B7f1oK3SQVBYRwEg+B1 +KgiCFPiMKAimA59jZD0woCgI3s8LguXA3OIgWIl+Q/QfRv9P6O+DvoL8PvCv +gTfgXYiMr0DmV9kg+BuBbMTWCPBN8OvAnwCvFDiI/lXoo8jvAdbh7wm+ZxUz +8dwNPYy1fAyMky1gO/Z2An3h7QS6EttNyH+HfA3s1QSOsabDwBjkFyHbDf1m +yL4KvQV6BLxXwOezphXo9+TbHdC70D1PPDuIZRvwJXR9Yu6H/f+mvPaq8Pum +vQe7wBch8yi8D4Ez4HnI1IaXBHbgswv2n2d/7yS+Z4EhhUFQgL+9+L6GfAr5 +O5BtCJyH/w2yf2G/zoEXEVMjZGtiowW2lgEBco2ATI61YOMSvCvAdvCLwC3I +/weYhm4F9k8T4xZi+wKo1NnwrQJ8KzAUejX+W4N/knbslVpD2mv4Cnv7C+2j +AvxmfD7G99XsZy/iWwL8Ht3d+FuMvxLFA68HYdYAT2N/Tca27wP+jvzTKd+p +efDfxdcH8D+CV8b3N7GRY+1TsTGYtW6BfwobX8H7HGiQ9d4Nx/7t4G8Ae/Jt +U7YXYCsLNMfeO8Dj8D9K+A61wl4lvB/gexC8H0IfwH4voBn0bmycBI8y3l/t +8wVkipBvjo/22K+CvTHQZcSYA8/oPiV9RsVZ3+VD2Nib8p1uhM4EzrMU2Fbk +u7Ub/vaU79h5xYB+X2zWzzmWKvhvmXZME9F/iP0fC/8E+5VE/3vw70pbZg38 ++dhZjv1u4H+Ef0B7zXq7AH349jj2i/l2BLwCf1XTvmP9YstORuehhHUOx5b9 +Pv5O46cFPisD+1gLbxhQSoxp7THxBugOgL4n7Tv8IPiLfGuXsM2zfDsb+S39 +DlikN5bvM+tPLBuRr4utHsj9W+8n9t0/SHyV4Mdi5wKtQWtpGnsvb+TbdvQv +6c2n/cb01u6NnSv05tuCv4rt6cBr0L2QGUksFRnnns3ASOIpT5o/KutctpeY +dqac09qBv8C3rti8K+EcqFyonDEQfwPw8Sb6Jdi6Ct4fWJR0TJfBr8Tm3YB8 +EvmL0NXTlpHsIWAH6+mJ7YPae/a0Mfx2yK9Bfg/+9wO7Uo5pG/4v5/lNLkB+ +MzKdoBsTf5b49/OtQWCbB2LnNOW2HkBD8GeBdfmWKQVvg0xZnvegEluN8XUi +9N3XnSpj7fnQs+FfTjqWRMa5TTFVI95ZfB8PXQc8AdQEf4tvA7F9LXZu1h5p +r3agfxKbX6K7GSjXG8JPW+U48Lrw7sH+kaRrxLfKgfyOha4e26Zs11KuwtcZ +fi9Gfru/TflO6G4oB15ir7ZCV0v7zp9F9/Wsa4dylnLXIHRX4K9Zyjlog/Jv +yjrS/Q4bJexPLc7nqt4C3y9FrlVP6ExC51TlUuXYUehX42yWKUcgfzr2XW7F +lp4CP6W6gb8Z/P4a+SPEMyXhnHc06zPSWdVD52X8N8L2L5Hflm+d0bFzn3yM +UX3M+e7qjt8HXkY874B/iGxz7LeMXJNVi+cB/aD/AT0RndXQx7LOtVXwfxy8 +NvpHkdmI7mLgAN9uIZYA/m1Z1yDVIp3JN/jvEDt3KUdehHdaNR/7s/j9DfpN +sDUC+ut8f9um2sy38pR99IaeCX0/MezFxyzwwtB4JdARm2vQfRJ4EP994L+N +vb2FXmM7+H/G93CgC/vdVrkJuB17TYEByL+rHqjQPc+RyDVRtXAD0Ab8D3w7 +FVhnE/Rh6PXwPgOSOd819RjqNTrqLcA/l3TMP4H+NnJtehu4V7kQuBVeE+DH +4Ici21qUcg5QLlAOuBDbVgEyZ5O22Sn0HmjtnRJ+C50j1zK9ierEM1TvQvun +uwreN/JZ/ow1jtNeRu71jgTu5Y7prAL3dFpbeehcqzXm6X3k+c0G2O4Obw4y +qTy/+Ztyzk2j4dcEH88ez85zzniy2HezMfIz076jOuum0LPTPnPZygvdi8mm +ehL1JrLRHd8j4S2I3Gv25Nt6nS/fphDbHODGnGu1coxyTVd0/oV+KfALbL0M +PBK4p/sr+Fb0P0B/nvqBlHN359C1UDl8FXRJ6L2przOBfgp6PPqtC30X7odu +m/Cd2A39CfQSZFcD/Yrc66iGqZZNATog9yL0VPCnke+AfBv0P+X7YPV26qnV +SyGzMOveUz3sa+CHs37rygGDsF0H3T2RfcnnmSL3zjrzeqy/eZF72Tns1Vit +X/1kyj2Oep3eWcfyc3xUR7akyL2Yegj1Et2z3jvFXA3ec1nnJtWESeDPxc51 +6lEngZ/E7xDWMI3fcep/I69Ja9G3x8AHAlPB5wOrlLv5fQD9f/K7tMi9k2rW +Vu5Ly9i98OusqRn41CKvRTVAtaAl9Ni0e8xaOfc0qkOqR+p9lbuGRLatHLZE +/qHXQb8A3RP58gLn8InKDRnX/M3Xa2qf0DVNtUxvbnnoHl69+0sp5xjlmqeA +LuDTi72Xj6I7A7yGeqACzyiaVRLqp/KcI/dnXcNUy5STnil2zVLtkk4J+EL1 +bpFz8TLgJvzngI4FntFKi/y2tQatRTlZufmC+kX126HviO7GZKA6eHz9veiN +V2D7rdA8yTSI7FO+dEby9YxmwAL7XJvxTKhZ8FP4JTm/dZ2BzmJlxjVFteRj +9UvE8KNCz4w14dcAugfuiftknYOVix8BuoIHoXOUcpPe2LW035zemnpE1d7B +kW2rBr+n/Mq3xWm//3ORc6xyq3rmuupPIvcOSwUZzxiaLVap54osI5568BNp +z1iarTSj1c65V1HPpN5Jvch2+JtS7knirHsp9fTq7VVreke2rZqzInSOUW6Z +m3Jt6a8ZJ+0aM0mxINMq4RyyIeOeSne4XGee8ZvRW5GOZFPA3QnrtAefgI0T +gb9pNhsW+Ww0oy3POIcpd+nOaxZIQN+Z9kywT3sduldtATSOPatoBmkCPq3Y +s4TObCp4LuOeRr2MbMyNfdd1xvM0exT7LIfBfwW6a9Zv42HohbFr+dbQtVQ1 +fWTGPZl6MdWAG3KeJTTjVAUPY//XoJkiHTtX9MTGyus546foj4i8V7qjmuU/ +i3yfNdOrJ9Y77ge0V73X+w/9TX3z8Ix7EPUeqknHI88gmj10xr0i5wzlCvls +oZigz2FjH/G0Dp3DlbtVw/8/e4ae/TWDvlTs3k41Z06xz+qB0LVaZ6YeSb2S +ZuBbs36bX0S+y3qjepsbIucarakevt8PfZf0n4Jm1/LI/61ohj0TuYdQ71Bx +fc+196qBk9XPRz5znbVqTjLjHk69m2b4paFn7LLr/ssyrrGKR2+sOfYmFTiH +KZcNzbhHVW+qmqUZX7P+ce2fcmtsXDO0ZmndCd0N9WgTiKcz30aFnrU0E26M +XENUO1STlfOV++WzRewz1Fmqx76G//8BZ0OfGA== + "]], + + PolygonBox[{{4067, 2550, 2392, 2099, 4110}, {4164, 2412, 857, + 1189, 4148}, {4108, 2098, 2826, 2437, 3942}}]}]}, { + EdgeForm[], + GrayLevel[0.5827224196026211], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmHuMVdUVxs99zL0zcO45o0YbHxWhvhhHbdNEUNt/ahTQKjgzgESpisGa +KC8F8YEWURgYBjQ+agFtRYVSlAG0HVTAAE1rH9FW8NVitYIVo0CNFCdqB/r9 +/BaxyZzZ++699tprr8e31t79x01qmVhMkuRo/Sup3ZslyZl1SbJH7chKkjxQ +TpI7NP5dTU7R+CzRnZS7f6Lao/T7Hn3TRXOh6O8S/RD1j9fYHH0d6j+ksQeD +z4RakswVr4lqd5Y9x/jLaZLMFv0pGj9FfG8W/wEaWyg5/iiaUepPU/u0Pv0l +f04ty7dEOz8x/87Ee7J2SSFJVjYkSU99ktxeTZLz1T6jdoPmnpGcG9UWRHN2 +yWuQ9xPx+GbRa5/X/Av6PhfP9dH/Uv1hoj+u5DN/kZgOGvR0ep3PskNnqOj3 +HMm2O/P4x2qfLXrfXtF8qvlFiWVn7MWQ53LxfkN0r+nbpq+f5g8Pmg2xdqnO +nmvu25nlQr61+j1Fv58S30GaP6lsGa7V+PU6993qX6C1j6p/nvZo0/godKlv +pPqXFj22TzQF6SfR11r0euZ7NHSj5DtH7en6ZmqvKfo9THsdLHg9a6fXWf/o +FB4H1W9RvyU3v01qp2ntGu37fa09THYZVLLt14h+lsbPTixLS/BEJ5wLvVzS +N0kmya7tJdtueuw1ucFzjK8Qn5K+6zXe3EeyaXy+9rmtYN/kDL/X3rdgd8lz +mnQyPs44QrSnaU2H6EdX7J93anyZxlv0ddZbl7NCn1O0b6vG3y3Z1+8v26aX +NEpvGj9H7XFqG8RziNZOFX2bfn8g+m6N/Vy/v6jYR84I//lF1TbF3z7Tmk7R +L1M7NLXO0f2T6h8nmdepvyz6+9TvLTguWhP7wPiK/WCnzlkRj8GS503RrNfY +BLV/0P7bJcez2vMnmcfvVHup5FtTtG9fJ/5b9Ptx+fW/xO9c0T5UsG7ACvTz +M82tE80itQ/r6ybGtefc1LoZoH3Xae3Egv3nuczx9rzaG0Tzkfq/Vr+pantg +i/8m/n2z2k1V668YGIMNsWVz0EOLbE2xdmhmvBimdm3F8U/8PKvfH2p8rdqJ +2nev+v/JbDvifl7i2OaMYNo1mlus8f1qL8kcAxdq3TfwMa29qeQ10MxV263x +5sRxe3tivswPj7XwGCi9tGuPv4hPr3R1svgcqNmn7gq/airZP/+qNd/JHO+P +iOazzBi1XGuvzR2rqXQ7r2ycZO3bonlJ/eGpcQXsAHvmBy53BJ7jJ/hLe+Df +otAB/JEZ+5+kteWiZXspYnO2aK4mRvHzOuMIGHGB/GiBfHU5sRbnRifE9eqw +28f62jV2K+srxu35ETfINYM1uf22XW1R/B/U97r4d1W8P/rdBb6qvUXfAJ3l +yKJ9cpX2v0xyrJcM5+Ve+wO1g7V2kL6pZeMNNiZ3HQEGiccnfd0yD95CPy1y +zY6y8R3ZusrGriPUv6jinDcXuprlqFM7Lrfu/pk6ftDfdZEfWYON0A+6uDXm +X0Mv+JnWbNfvK8Vnib5M/dXit7BgH0CGO+Sbb4s+1e8HUsfzXZl9EZ8Ej/fm +xtZ/q31cc29pfKnaRzPv9Uhm29IvRy6BP762O+yE7fCri+KMM8W3p2C7Q7Mn +bIkNsSXYta/s3LZY/Z6IcWL9jMx+cmZmP7gw9DBZZ1ldMl98iHzUp+j9oBkS +vgF//GSO6PcH/3e0rrNkzP+xbP5b2fCVeuesSvgkuLZQX3/x79RXK1r3CwrW +LTG6MvN4l3R1hWj7Fu1X8wvWMTbqFzE/IbeM4Bty/jKzLZZHLl4bmPlBxfNg +yNB6Yy856YWicRkZZ1RtF/ZjH/ggI78ZZ/9rcvN8LzUGgn9gHTUN/Irx0SeH +tUbeJXdyJs7JeWeHvxMz5KsbG4zL/ST3VtFsVfuG9rhYY4cHdhILxMTbuXGe +2pB8CS79LnUtgl7BZ/LP3vCZVRFDWpLs0fyfwndOzi0HtV5L1fKgn/sy09yr +9qyS/Z94xj74PTbiPNQS+xPHOfPsy9mbA//Zf3fI0Bk1Fj6DPtElNkXP6Bib +EivULcQL5x0c+EAe5Tzk2HdS58JKY2BHxeeihR58WCffu6fB8pGLmkIectqH +ESPjo5bqCfw8GBg6qNEYDpZvE5+N4vOY1o/R11q1D+0KPthum9oB2ueA1p9a +cw30Sf6Vyb/Se12c64d1Phu4dX9gVzX3eCV37gH3m8Tjxsx19bmp4wZMJ3Zm +RqwPiRp0VeAe9ctNDa5hjklda/T29XzX/2HjvMhHtMQzdKuDBnn5zTh7cL5d +oSvOR37ijGDigdDV8ZHDyFNgwL7AgVlV67o9chI5Dd71OufF4tWQu0Ykt3WE +X+AfrKWGGR15aFTFfeoZcuDiqAfAnpGBb2DkjtDnpyHDosDy3SEDOocevR/i +y35Xpo7HX2Wua8kJnIu6j7sQ/KkFwAdwYmvE5n2pa1rG8KO/y09eavB9Jms0 +tlDf3Rp58aucqPkZfXxHmZT6LNQyxDe1ALE7NnUsLIt6nFyL7fCFQp19e7L4 +HqO9J+XmQVwQXy+A06J5tWA8hKY7bNYb9iIWmqO2po4BNw4L7BoaeFhLrb8N +mW3F/YTanxw9LPL0wdS1/BD56ivht9RQ5B9sj87JfcQUsbW4Zty4Cn2XnWN6 +AkcYnxF4ApZgB9btC1twN2qNu8ccrb2hagzDv/GpY2rGdmpNYpn8Q71OrU6e +eSxiH8wGN8gFpzZa7+AreLkwatoDqe+S/VPrhxijbqxr9FqwZ2zVOQm8RBfQ +g3/kbGIDH+qJc+P71B3lyEHUg9z9iEF0jZ+gR/AVeXoDTw7FGbXi0qrvoYdy +JDpjz6tiX3yX8R9Jtp0F30eoyX4av7dnrrM5J/zHBaafGPXRWVGrvVVwPcxd +oF/uevfwmrFhVeDD7PAD8sTmqnN5/6hXwT3wgHz/cr3vRyfXjJENqf0Snuh1 +auAi+v1NGvbNv75jHxG2w27YpTny7PioCcijKzLXYeSkpzLH4rURj+zHvs9E +XO+P2P5b2bUaOYe70YyoLYjTztDxoTqDMd4luKtsCHwHA4ml5yrGAe5OmyIW +avKREfG2gazEBuPMUytzZ+Z81CTPx12yO3PMTEg9x336hMQ2pIZsDhxDLmIc +LBwV2EgckKOJhaOiPuLM8Eb38G/LfDceGXed9+O9AAyFJ750deoYJEapcfHF +qzPb4bWQB7k4L33siA2JCzC1LXCV/AjedGju6NSxOjrzHX9P3POxK3yx+5GB +edh3WfjMl4GX6B4MmZXZh/Fl7jo7w7d5O9ii/TaVLMe2kPPYwJfL4/7I+cCW +BZnPvjz3vZl1xBRY/Hn4xhmNxuH3U8fmivC3cyPOiTX25B6DT3CnOj/6fPgK +PF8PvXFWYndL7IV/rog3kFk165Nab2XZvsG6f+TO4fNSvwW8GnomJrviHsu9 +jf454c9p1FJLxXMzdXfqvPF6yMD7CG8nzHXFvQ8d8ub3TtTqTygvndDgODky +8AjbECPER0fcBfpEvYT98AFyx9aIB/RPuy76xMZbgScb442POGL+uXh3QJ9r +Q2/dsRZ61vObs3M3WR3npV0T8pPrwBN0xF14Tdxn78687xO59dUdPNty42lT +Y7w5BnbhE/jGiMz7d4f8GzPXEusz2wJZ4Dc26kB0Qj7v32A/Qjet8UbRGvmB +PrFJn/hcnBnfl6h9IrP9nsxsA/IW/j+p5v4c2XFG5rx+R2Z5N4fM+O+WyAvk +vYei5ufMnP3S2tf353r1R9Ss7+Fq+zYab8HdO+N96c3M8dceMlyWuUYckzl/ +bgosHhXxPEJr3+COU3Web6s6TpBlSe7xxWoHRkztTF1LUEdQAx9b81sHb8as +JX9PDx1+EHmchPNFvFeyHj7EaG/kVWoDYqUzfPuBmu+t96s9K3VcTc5cz4I9 +rJmaud5dmvvtakS8X7GO85Czm+IcN0ceZ45x9iCO0H171FPgxrjU9edH4l3f +6HfCVvH/Xuq92HN46P/81Bg5Ju4Rm3PXN4NrzucDIqdPCezHz5HrppABvxob +voUuWUtd9G7qOmNc3JfHhn+2xr2lIzB4ZuAw/n5b5IKWqGfwT3LOhNh7V7xH +lBuNAVcEn2mpa/0XM2NtT/CdE7kIvjtS11vclfGLtogFbNsW+u2KuESG94K+ +qr0G1lx/Uoc21Fyj8jZMHLwa8m2PvPCwxq9JXas/rbH/AUjSPn8= + "]], + PolygonBox[CompressedData[" +1:eJwtlmlslVUQhk/be9ve3u9+F/CHkSVIpSxVIdEIGOWPBFkiUhYRJMqiBhLo +BhGNgAsoZWmRiIpQUAoUDKAUUBpACJQY1EQSRQGFiAJRo4AYLSQYwefl5cfk +m/nmnTlzzpnldJlcObIiN4TQBCWgK4UhdEqHMJjv7IIQxhaFsBV5e34Ie/nX +HIfQEYNVOSFURiFUZEPYlRdCe/RV8P3ahJAPrjUVwlD43eAv4bge/DPwdfjq +AA0EsxEqAneZbyO0OxlCMT5n8X0e6oG/Ynycxv8McMPgp6A/iHwAWpthLf6N +gN9OTGfQDeTfeOTNrNkHeQV0lrUPI59i/dvxM4s9TWWvrdAO/i3g+xv6nfDl +rHkre5mJj+nw94HvSLyDiO8A53EOfztZaxj6Hm0co2K9XzJr/4OPiwmfUSPY +n6CmXMeYBP8OmMU5PrMV8I+Bnw9+Gr434Wsd/1rQNSAfQr6G3A39Hl0S/Fzw +e5DL8TEbviv/+oAvhhIZ353OXnegO+wD/2Had9eCzyXEk0u8Tfh4Dvu90N/w +rZLRvYmPbfiqAnsNuw3ov0e3hPXWwj8AZquw0GDkM5zl56yxE/xBaBUx5/E9 +xhmOy5jEy+fyjM9UZytMPfxxxYCv4/hfHjlHlCvKge7C4ruROGqJ/xfsFoPJ +STqGGbFz6Qdi2FHgnMpwxtNyvf8Yfij4Gfg7Ac0H/7tixjYLpgFdPfJR5Br0 +K+E7E+O9Ok/WOItcQwzPEn8JmHvAt0Nfir4I/dfo89E/Ap+n4kFfmXUtJJAT +yJ+AOZ9wTlQgJzO+q4nQVeQ7wM8jlmp8lMA3o/8R3UKoHL4czIWEfcjXosjn +oBpoQN81a1vFrNgngnkb7Fno6cg1olpRTk1FHgJV57gm5oH9FFoZnAP7VAv4 +y094zwvhB6rGwX4jPL4izjQH3ShiTsNPwGZ5wmc6GeyyyNhj6OeCT4ApSboG +TqOril2b3yFXwn8AZeBrsXkSff/IufkRNBNdb2gM/KP4+Fl7yXrtAToD+JPc +/TZyZGmBc/AP8HcnHZNiK8SmLft7AZsU/Dr890oacx79Z5F1utPO6jfk0+aU +e18ZOfS4zgRfLxLfGPj2+BgVfGcd5Btsdco9SnfWnX+v57qndBMWn3tZ6338 +tcAvYL3aPN+x7noM8hf4XwSNxf9TyHU5PpPNyClshmE/AjkJPxH9UvQxcj32 +wyP3tnnQKPClnPf+pHtUT/h+GZ/VGtYvjZyjylX1uM7wH6smZI++Cf+VKe9J +e6mBRmRcO8qBMvh2sXvfSfy3Yr8R6pTrHn8FXRl0Lsc1N1z1gX5ugXvIeuQ7 +ua/haefkYs53JHxZ2rxqfH/sXrQAmx3EM4g9bChyzvWF75LyzNCsuBpco6pV +1fCq2NgU+pBvG/G7+Hc13//UQ9VL1SOuR65B1WJH6Br8SdZ8CVhvfJ6CL2jj +2aI7LIS/EFunGlOtvRq7d6mmBmM/LvZdKkfaI5eyXk2ua6wn/HvE00w815OO +SbP14SLPQs1Y3YHuQjW/C1/9sRlCbH2hEvhLWc8a+TwSeZYVp3wWmmmaCZoN +6qkvwzeA35bw1v9KOweVi8rBSvzV8m8KPo7cnMGqMdWaesAZ+CRrzAHfDP7d +jGeSZpNybHTWNapa1RoPgu0S+SwVs2JXzip31SMLsu4J6g1bwFdj+xqxry/y +LL5+s6eqt2rGzYGfFDvXNOMmw2+JnfuqkQmstTLj2DRTNVtVA6oFzdTRysfI +taucrIvdK46y3toC94wW9l+Vcq5/xf5XZzwbVGOTsD2UNkY6nZHuQHfRFv5i +1jNSs7KO9Tqov8aejeo5t0SeGZodmuH/Yftn1rbqEd3g+0Y+C71Z9HZ5iH9v +JT2jNasrMq7FG/1Fszd2b1cPUy/bl/IbRW8T7Uk9Vb1VPgZkPYM0i9RDe6F7 +A/oSfjrYf4l9fOzYX2G/T6j2Yr/tVNOX4TdCpxKuYdWyMMLKxzL4xti9W5hN +sWeoZum3yGtiv2n0tlGPWxq7B6kXqacVZt0L7uI+lhS6JxxO+U2ht4RmegM2 +JxLOQeXiiLTfNDfeMtikityz1av1RtMbRW8V2ayD3x77baceNx371bFj00z6 +NfYZ6CzU429D/z/NiHIH + "]], + PolygonBox[{{4154, 2901, 2420, 998, 4061}}]}]}, { + EdgeForm[], + GrayLevel[0.6735386091717398], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJw9mXm0ntMVxr/cfO/7fffed7jiDxmQSnJDgqISglaCxNyGoAvVqpk0pDJw +M8htEhRBE4QbJBIkQdaipog2iSE1pI0MrWHpahdKWW2RGhJT0Od3n53+8X7n +vOfdZ599zn72cPa329ljR13SUKlU7tRPV7Vbk0qlb71Smaj+LV0qlcc0PrPi +sUcaPL5FNJ/qeVDvU7NK5X7RnV9UKu2imVb3nLG56Z8tK5VCjHM9X+t9f83b +Wq1U5lbcfqbnnlgXvg+J5lHxGKLnQ/U3pJXKej0f6dvJpXmvUbtN877Us1hz +l2vscT3L1X9Ocnyl8cmZv9O/V+O3BT39/Rs8n7n3VTx3qdpZWuO6xPxWNLiF +JzJujblv6vsbem7Xt8FqN2v8Vo1vbrC8fXUWkzV+sPbbW+/v6nlPD2e8h34+ +Ff3dotlR+ztENP01tnfuMygl84Wae5ho1otmWNV9bff/7y3q76o9Hq7+LmpX +Fea5Uu0lmj9PdI+rP0H9Reqfp/6I0vTMu1rrXlm3vJzxvbVK5QP1x4i+Q/QP +i6an3v9V9Xtj1d9na93BqfcyGxxk3sfvC5/Jk7HHnl3j7CqmezdwdXbV+r9Z +/UcL839E7Wq1q/TsqfEN4jegq/e6f+az/FZnM1b8N4nmTNF0sAeNn67vO+Sm +b1Fb1XOlvvfLjbdvGvxO+230d9K34Wq3NZvfn/VcoPelqWk6GoyzTTE+Xu+t +4vVsF+sT/aHTIepPr/mcVmnu6tQYeEzjEzR+vvrnp8YDZ7dGY7/Sk4rPX6WL +u7TGcWqfwEY0dnVmfK1MjbHG3OvWc58ZtnOVxm/X3n+u9m21m5uNi+H66SW6 +fUXTU217g/tbxXeLnn3U/7SLz/gpPUM0Z0bh/jFatyWxDjj/ttAFNK+KZqX6 +R4lmUtX9gRqfqvFd1W5Su0JjT8bciYnPZSetP0ftPVVjokduGbrn3ge62a6X +InwC5877TRq/tGqcs7eLEq+xi/pHSI4x2keb1t1DvDqwJxG15j6bH6jtnft8 ++mn80NRzkW1QYh3hewYFrq4rbVuHx1rjql6b/rDog9/xVX9j/CBwprl7Zl6P +dXfLfBacSTeN3S7aZVpnntqFuX3oBaJp62qMzdMzWvTH6v3Q3HsC9+zxgNRr +zRHNYfo2SjTD1H6Z+ewS9Yem3hu6Ojxa9DVa7UV6Hlf/wugPEp9T1E4ElxXb +JTzxa51jMY5/pQ9uf5VYNmSYXLXuD9T4ZMn8quSckxkL9MHDItEvTOy/nlL7 +dOIzGpn4nf6CxJjHbm8Un/fVLi0tJ/4WmXsnxgmYvQP/mhi3vNOOCnvEFvGB +bYnPGRyMTowVvo0T/2fQb2a5kA8fi33xPjf8zPo488bEPoSxwwJ7fMOOkZkz +uVzn88eQfzq+AvzquUn9VRrrE3uEBh9FnLkt4ktH9PEPYODWqvH/gHS5Tu+X +Ss6N4vMnzlzjL3V1H1ugXRfj51b9jXF0wPm/or1O1jnuDg7UjmfPxGLxPi2z +vPhLzglcclbQ9tfzonhNzI2JCeFn8NHwP6fq9ehv07d+xFG1F4e/wm+B5baw +ZeadE/Sszzt+HtnPqlr+gwr3h6g9oHA8ac4cL+DfKUdX+1DO/PSQ/3VwktmO +sKd27WVoV2P7iNQ2MA1/XTNewepx6h+rJ6lZB9jiErWnpaEPZC6si7MKx/CO +0BHnNC9osLVJ4ff2z43TbpmxyZojKpahPdat6dsM9iWZZ+m5QN+uVTs3977O +yLxn9j6pdGzDF+GToCVmNIbtXhi2fLLkmySak9R2zxy/vmx2zgINecvgqnWB +b8GeZoVN/ZbYoLHHCmNwZcSptYr7Z4r+yK7G7ILA9oLUMZH4905uWd4GI/r2 +m+24bzBW0DW43ZTaf3+W+B1dE+dmq98Q+QP7Ig6C541Bf2XY9JmR22DTu0QM +wr/htzn7oeHjtvs7zpnvjKOXtxLHG2IN348ImqO15/PE9xCd2YnCwQl6euhZ +WLfdzknth9q7WI/Tgj++9OPEeSe5AL6RPrnuWvxA6hi3DptNjSuwSB9dgDvw +d5lk6lvzHOjHJ+532oXal1LnEq01v9PHp60LnhMSr8U88IV86D4JbOO30XUn +TjT316K9mrU09nlivaATbGp9yP9s+DzO+pbCOjg1s/7ROXaHbV3f4D21h444 +H/IJdDUq9NIWmJ8d+R080fG9kefsldn3EzMZ78RExfIhJzy7J5abMXTyQc3+ +lO+Mg/ttXSwna68IbKD3NXEXuDv3HYO7xkml4zZ5KnKRc4FD1ga7N6T224tT +65i7xl25dfXT3POIwcQ+sML5geH3Qybkmal2Rup7EC3v+ETWnxnj2MqNYS/E +c3gi1/qq4xn7ua7qXK09YsqMoEfXR4RPu6zqmAeOySWxI/zFTuF/wCqxju/o +4PrC809Ue2pqf4cfw/Z5XxwyTw85sX1i27bwL+xvZOZ1Loi1iDNjIta/EjnA +TZn1vCZ0PS/4sxb3wulxziPrtjN0QN4Gn+GaOz913rgi/G6nnJF7tkXONiaw +yrqnFj6nH2fOBUYEDrPMeQf3pzTsDvuYlNi+sKcTEuciYPHbyDPxP8gF5ojd +2Bg+jXyO++K1Nefh+EJ8Ijkl8RIs4N+QnT3sGjnq/Mg1l9WNYfguL83n8dL3 +F/hgY3PxwanjxIzAzrdh15wd5/aI5gyQPKsLY7bSxeNg6obACbk29w98C3uE +58jY69yYU8b5PC0+vVKPsy5+ZW34Fu41V9V8t1kYuRI5EnZ4S+Q25GrYwCmF +9/p87J27DzGF3IrcelX0yTfaIgcG52Nrxjq0qyIGofNTQ++/FO0Lqc/pmgbf +W2+p2Gfju5GhR/hwahHYxTk12wa+jzv88sh7B8VdHh9GXWJJxEt8J/c/ckXk +R289gz+8z4sYhB1hr4PDZtHbC4GB1gbnN/hwzuaEkI1z7RVn3jP4gZX+4Xvo +40t6hPxgr1f4Juh7BR989sbw2+ijX81xYTsdfJC3Z9D/pe58mzx7Qt1+h1iN +bok9L0aMgg9nMr8wpufF3W1gxNz2wpieUjheECsmRJwiPsEDrPWpGW/wpY+O +yC+oOYAZaDpCd3zvG/Ss3xp7ScNGv4k8LY1Yic9YEn6J85gTtsleXoy4if1y +VyfPIcbRx5apGzEX++kV5zM7fPziiH1bov9Q4AueyImfWBe+AjzOi7x9ZWAT +P3Cn8F8Vz5/lXiOJ+IvO09jLzqlp2Mv2vIF4Wos9QgtNLfoLow6GfVIHAvfY +HnqnroK+mFcLntdk1u0lkmFRbvu8VmP7lq5FXSTdTawbB9ANF+Y/bhQkoyY3 +tW7s7SGQX6H+O5nH6HOe95bOoReXxgc4uUPtdPEZ2qQ4WXcs437YeT/V2LAm +51PcF5GB8Zu0ZnuzfRU6mhr8T4zYNKpw7enKqO+Ri14d9ahukm2w+ju0+Bv1 +KXKHS0uf3Ti1iyX3AdwNxecnue+xZ1AjypzHP6Hxuua3am5N7dGZ6xvTNX4C +8jY77/2R+guaXWskj5gW5zMu8z1rWe44vSVyIHwGvgO/R/uL6Pcu3X8uc81m +TNxDwRVxCMx3q7vP/Yt2coxjK73C31JPoiaGDRGXt0XOAy6mJMbsbYXH52fm +0xY88XPUNBcHlqaGH8Wv4lPJ3QaW5tNXc5cXXpf7wYbCd+CNajfl9nFLM8sE +HrER/N+C8M+cw/zwn+MSrwF/nrFx/+UMRsc58ECLn8EH9At/QsyhbrlH2GNr +1Ab7RSxaGuvCH9+7rfAe74+644Dw+9zdqZlyh6CeAhaHqp2Sucb7dWE8Pthk +TFIPoPbK3qhpt0Zde6ZwO6zZvvRVtQObjNHX1R/SaIyC1VcCr08VrguvKTzG +N3C1PrO+/wtWc+cN96n9HFtrcox4QzS76b3a4nvY2sD/Mq3zRd1565TwyVeo +Pb603A+r/bB0nkLd60DJdkCzbf6jRts89n5z1PVe09xP1Pap2+8lLe6/qe// +Fv2QZucrZzfaNo6MehM1osuiblfWnXMdnVvWY9T2afLarHua5o5ott3C66vI +4fuXvsNsLl2nA6d9MueEd0Ve2FQ6dynUlpJtkMZb1F6e+07XpnavwjWsvQu/ +M76f6P8hXv1En4p+z9y434t6cO6cZqDa/XLfZ77HWOEaxRdq5xbOxW8tfNbI +RLzonzuv2h0+Lf4/Y6DacwvXBZ4sfGb/afRe0WffRusUjLzWbGxsyXwn7yb6 +l0WzutH5Mj7m4fDFfy99Vge32Icui3spddmPa87thxau6w2jJp85lzpN/QFN +xij43DFzPnQMONTYy83OC8Y0+Z3+8YVrIz9Ue2ThmuZRhevE48J+qesPjrtP +n6htY/vUIqi5kFcRY4mjE+OeOC1xnvVM2AI2sU/p8e+WrkORL23Mbc/Y7X1x +/4IPcZn4hm8nxn0n6ifUUTjTXnGPWBJ3FmLvkrApbGur1jtQY1sKx/NFkZtR +7+W/GfJM8usVkWN/hv7gIf4PlK4zHlM6dwaHrA32b0hcI+VuAn/uNasjdyXP +Jd+hxUcSiwbF2MMRTztjbWq/wvrwGBJ8yDPJW8k12T97IpfIwhawCc5ma5wz +GN8ad1WwT72DWMtdgjyDHIM8k7oe92tynk+CnnPiG3kjMm6Xnf9r4EPNZPfS +2Abj/IdHLNmrNA948T8I670RcZ+xj2J858h7Obf3gqahYtx0RE7If1GseXHm +XLh/yLkp8oOOyOXIeYm/2Cj1Q3DDOX4e4/jLT2LdJRHziHffRG2cGjnrvxky +vBV9ZCdPJ1/v/B+zZnyDlw2RI6KH7Tk697vva//Xq//PzHofFFiC/3uR5xAj +iVm/K1wznh06pabB/byzjlTzO33sB1tBdu7u1BC5k9DeEf3W0vGub+k7E/bJ +velvWqMH+Mn83w/xkP86iIXExOcL022NXOW9wud0Z+G1kGdExXdo6KDh/kS+ +Ahbx77cHzQPBk3gLxhZETCdeXhM+gTPgfz32jB+ldk+eRN4xJXIP9o3M1BQ+ +L6xP6tPEBP4r4l5APRD9U0uk3tM96MnByW04K+i5pxLzsMtZYZvc1xnH3qnN +vB91AeIV58mebo0778iYh06pi5I/kUetzc2r8z+IBt+LJ4Rs1P4XhH29HbXQ +A7WPvHQtgfoWecyg0OkfSt/FTil9LwG35L3/A/8RFPc= + "]], + PolygonBox[CompressedData[" +1:eJwtl3mU1mMUx59ZXs0781te+SeJtJs2S3s5pihaRcopshWnpIUxg0ZMkY6U +KO1FRYU6dFqk0GY7SIutTnYKx1qyqxyfb9/+uOe997nLc5/7u9tbb8iYfqPz +Qwi7gELgzSSEVhw8mxfCuCiEh9IQGoAPOymEKeC7OTulKIQlmRB6Q9eDfgC9 +uCCE/8Bj0TVC6AhdGmMH2A6+AyiH160khCHZEC6GboOdLzmrz+9v2BuCvfrQ +c7E3H2eaQBfmuAP+MM6+w7fFnPXE/h3oL8L228BR/LsT/6bBuwtoAv4W/OXw +3sFeiv7Z0KdCH+buGB9ac5YHNOGsPbxK7t+BbAd49YtDqIBXCYyH7gK9GHw6 +dlsi8xS+TUfnTnQHcN/WjG2th3ctZ4X4VwfZ2+AdQn+o/EXnFPgbeMMc3tIe +nb/A3+RsJHgj7GXRfQP6FugRwBno1+TsjOCzutC90BmLrSqgN/g1sWOhOxfC +fwK6IjhGitUAZH4iPmOB/tLl7NHgGFWB38DZbGzdhY3r0H0Cf1OgPe9ZC/TJ +OSaKRX3wyalzIYvOAeRbcrYa3r3AfnxvAP9WfC0HtkO/AD0ZX44g/wZ3XQDc +DD4CKJM/wC58GwlchPxSoA26rYHf4PXC/qCsc6Um+I/glwNHsPkz0Dfy205F +/lPkj+JrV963AHpF6pxQbkxCZpByC/4PWeuuxOZm8P1839egl+osdq7eiH+d +sNcNKAe/HbgY/JC+SZFz9Cxk96W2vYj7Pgbvkfpu5Zxy7yR8bgi+ipr6HLoU +/tiMbeyEnhPZ91rAJ9i/JPFdiIWD+Dob/mH82sLZffDa4e+vWeeb8u51zv6F +dxS4G9kyfOqJ/+PhfQC9OnWtPoW9CPp05C9EtgtQB3wYZzPxfxOwBN3y1Ll7 +H/JnwmtKbLrgxy/4P5E7m8au7Sps7oKfBSbUcA01hjcJeg221iA/Brpr6rfo +zm4gnbE1EpsfYGsLNp4D/xs8oPMw9/ZKHcsKbD6XOhc/LPa3UU7uhS4tti+T +ipyzyt022P+Du1/lTUuDc249+l9D18XeTvizlHvA/HzHaAR4LudeoJ5QBj4Y +e5XwBiDfHP4/8CLu66tegM3R8Dfk+Y2jwF9E5mChc1a524w7x4F3wkYz+E8C +6/Id4+Hwb0J+CfjdyDRFdjH3jsb+R0Xuibch826Be6Z657fQDyPbD7oLdLvE +tacabgu+PHIvaQf8mfib69srZ5W7C4D3wa9XTwWvkP/401A5A94JH6ZkfIfu +ysTu5RM1D8CPxJatzdmRyD1OuaeYpcQrQf8ydAt5U6zvW+waU22pZ9ZUD8DW +VGTOV+2Qu/dn/e37Ah+WOKeVy8qJPol72zDVY+qaUG2oBlQLL0M/yV2/I7MJ +/JXEuGaOZk9V5F6jmlBtbAZK861TCe+byL7ozXq7cky5to73zeKtWxPXyl/o +bwPvB1QXuqfUQvcS4JVC92D1YvVE9UblxIPwZifOtYnQM8H3Kse4qxn694I/ +E3s2TYd+GrxZ5Ngdr2V8eS3x3cph5fI/wFDoxcj8Db5b3z/jnqneWTNx7s/j +jXuwdUfsXNE3rgTPAaUFJ3SUq3pvxjP7F/AWiXNdM0OzIw84mO+Z3wp7Jal7 +gb5xBF5W7JmoWbjoRG1MKDHe98QM0CyoBkqJzbmpZ6Vq7pzUMVAsNnJndWKf +5fs9yJ+F/IHIuGaKZsvvyLTl7nn4MxreVZpvBa7Rq2P3pkuLPavUowZH/paS +kew9ie/SDB0Hfgz5MXzvh5TTyNZG5pwCn4lXK/auoJ6h3jFFPTc4B6aCD0qs +W40/A8H/SFx7czkbCt4D/esKHEPFUmfiqUeM4b7msXuDdijtUi0VE/TLODtX +PPUIbG8DytG9MvJdmuHToGdA78lzDu5JnEPKpRugO0CfF9tWNTbfR7Zr5Nkq +narEM0izSDtXhvh+pZkN/ifyQ/Hl5JxnrXrRNvWWxLbVk1Zgezz0JujNQPfI +M16zXjE8Tb0ida/RDtAo9U6l3Uo511i7ZOTepx6pXqkZolmimajZuIpvOYN+ +MI38egTokXh3Uky6gzeM3Zu0swyB7px4l1CPaQXvJehG+e6xFZFn+8qse7dm +vHrtvhLPDvXcGry3UZFjoFgMjFy72innYKsFPk3N9zc6G7x56t1YZ+JNjjw7 +tY98lnpn0+6mnU673Wp9f/jf4+Na5UfkWa4YKpZrEvM0Q4/P0sSxVc94DPr5 +Ys9IzUbFZGPi3Vg7pHbJtiWOmWKlnXVZ6t6pnFXuHku8G2inX4G93bF7iWL0 +HvjCxLu1ZsTjiXcu7V6quWXIF8XeTbXDapdVTim3tMNpl3sdenjGPeZkZK9I +PfsV06KcdyjtUuphHcE75hwr7XCXgq/j7LR8x2ikcjHrGaHZoJ1gVOTal8z6 +xP8R9F9B/wm+iLzDaJeRD/JFOavcVQ12j53Tym3tYF9rn8m5N2km94f3Pw/x +p7I= + "]]}]}, { + EdgeForm[], + GrayLevel[0.7643547987408583], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmXmQldURxd+bt83yLSBoTImASlwCAzIYiMoqKkEhFVEUZ3BLAqJRExUY +JC5RMbJotESjqbAYYBAUJOqwqKkoawSjIlYWlwrGiv5h/gCrknJBTM6P05RV +fNz77ne/vn37dp8+fee4H/50wg11hULhUv1XUjtP7Ul6lqk/SW2lWihcorZV +z1b1a8VC4UK1D5YLhR9ozvCax4+P99uiv0jvf6vnd5pTrzl/1/gtWmBNRbKq +Hv+3ZE2oWk7PpFC4TO3/mjS/bDmsiYw29X+vd02a36z+YvVXSM589Z9T/9ys +UHhIc89RuygvFP6m8ctS74Nv2Qt7KKtfkYxxmvczteervVVjf5ash4re64Gq +57HOl7Hfr2Iv6PBJ2XtD/4n67jHNuUjto1X3H9D4fZK7Q3MWqN2tPW/R+BKN +t2repRXrf7dsUo/8qm1wYdgBu9J/QO39DYVCu+zRL+YdrNoGIyT3fu1nuNoF +2u80jc9Xu6ji7y5nrbL3dbP6/ynZ5neU/J71LtD4XMmfLvl99HuB+jPU76v+ +PMlt1zrfT6zLhNAH3SeF/rM5Tz1zNW+m2hlVfzM9+oM154PM6xyts/iO9L1C +4536vb/k7/l2VnzDfN5fGXMWl/17i/rNmn+U1t1bjG+q3lemsXvUT9Wukf4H +6m1X9s251mvNMTXb7eo664Wu74cM9J+Cz8dv+h+XPIe9nFS2bRvL1rmP5NbV +fb3P0QXr1T10+6v2m+NLslu3GD+54Hf8PkX9zrL7jPP+yOifJ91r9fYJdDii +Yj3ZIzLx1/01/0bOG1qrh9ousu1snf3J7Cf3nrAter6htY6r2B8mhe/1kZxE +8y5Qvym3vDRkoid9zqJW9pyL62zjLHSYrXU36t3Z2uP6svt8ezgGiK+PpNOb +2sNatW/p6S8ZqzR/ZdH9pQX74gD1H1f/X6ltPE/6XKp5+/TuV+qfobX6aM6Z +asflxqbdel+ss6+zr5X6dqfmz9L7K8vGDnDjE40fo/49jGMjzblK7Qw9D3LG +aqcFrhHj1arjH8xbLjufXTImsv9D2Bj4UA48fKdkfHlGOuxK7R+vBuYMjPGl ++v2Sxh+XDhPVv0H9i9UO0h56ql9MjU98A7Ysqxhn1qk/U998Cz/MLe+JomUO +03fz62y7UXqO1PjWiB1ijHjZLnu1qL8+N04wTkwND9zYo/W3pPazrWr/q6cX +vq73T6i/S+Or1N6lee+hp+S0q79H/ac1Plf2+az8tV6s9WzkkEvCVuAzMbwZ +Pw87Mj5M4y9J16Fqt9WMa2DaQc1dUjaeg+svBbZvDixgX2ADc9jL5KpxGGxn +bHF8Sw7aEriNbScH/g+NfDFCejyaOTYmJZbBHOz+QdG4DSY9pD2vARNS++Nu +8F/ta2V/i+/1rNrnwXzw8bUYfyRwD/ybU3X8EDsbyo6ZHoED6yN2tus5S3pp +uoJd56T+WunWW8+x+vYmjZ0FdtdZf2zBmXLuP9L4xvCFI9R/u86yloTvNWee +OyrmY4cRcV7ril4Lv5qnucvK1uWwfscUnBuww20l41Zn6Hxt5vnXqH1RMlZr +znV1xq/VgbdgA5jFfHQhLy8sOs/c1+Bc06H3l0hug8ab1O8VPGGssPCCevtH +R8X+tDly2RkV518w59Sav71X7fKKY+fCirGA2N6u+eNqlvmXRumhdVfW7C/I +xGeeTmwHbN+IvJp9dZfm7tTTqd8d+j2lbOxizYGxLvrWh3z8oTG+naq5V5ed +9/F/ZN5ZMA9iPnjE+h1xHn+UbssbLBucbgus3iadlmmsr3Rs1Jx/Ntk2fXP7 +9Qkaf1eyFtSMIZty9zfmwS/qfS5dE9vmFZ3XaZrfpd44SpwNCzss1Pp7m4xx +4B/rgofdc+vzQmLchsOBP19ktsusxHbg/LBBIhmfNXjt+2re4+bAtzVxdthj +XNgk7+J1NiS2X1PY88zA/6dS235q2BPsPLlsv1sbZ7ch9Z4WV7yvyfDGsuUT +O73Ljh/OcnS98yG5gRzRJ7GsQ/m+zn60LHwJXFgWOtMuj70Pk5yhNetDLmJd ++Os4yR6p5/2SZZ1bcyygS2voQwzQvzmwC1zDH/HVyTGnNfSHl+6SfrdLxljp +e46eR7TW2bn5KfLBOvSBi8O9waJFoQ9+2lJz/BJv40I3eNJ5wTfaav6eb8fX +fAbYn/1NCZuDqcNiv9iRfAF+gLesuyX4KXwLvT5KjEtn5tZxTNiB3IXN4QLk +sh5lj5ELxka8g2PsESxj/UN2Ljo/se6Jibk+nP8t9UdU7MOrqCcqzt/kIvT5 +KrAIjJkYOPNY4PZFwd8ZB8M7FF99GsxhDgb/JzfBTcAU8IS5F8d8cOiTwzVO +rIX+7SXzJ+J+rfZfUns++UTPzdLtqdx1DufTM7XvMM5v6h44DGeBb9xWcb7b +JN2WNrg+IWbnRw7tklufjRGDvavGlpLmd2uyLzLeM/LUkswcui2xvvVhH2IC +XCQu1mX2u6ma83hiHv166vw4J3IZPHFO8HbW7BXysR1rgYEztX7vJvsccfRV +cJvhFef7Q/k9M5d4OTPe3x2cAG7BOPzil9p3U5M52s8Tn/M2zd+gvX8ON1D/ +0wbjDphDrUOe4FzeTN3fnbqm6191/fKy7LOiwbGxvWZcAG93SuZ69V8JzFsf +41MS2wTb4GvDAzORNyBkDu7iWu323FgGpk3MbVNsiy9RDzYHP3lG/U9r9o93 +cvffzr3XlY3eL1wNztaSOm63hz7Ubfc2OD8je1vIB2u/qDmnPKZvP9bYPzLX +AfAY+AkxQ+yMCA7cGLnySa19A/Er2UNL5nmcwzbNb1fbIzOPh8OvS83F4eT9 +4PglfwtONef223658bJ7vTGTOG6NWOYM8V94CP5O/QKPx3bY8HnJ/IXGrwW7 +6lxPYGvstyK3L47PjEltgcXg1vjI360xThwhtzX642IO+HZnxRwG7tNPshrI +G6k5DjUZ/KczYgKbt6WuFVvVjiyZe8Grvpc6x25OjCs9ow4anJmHDMm8xika ++0bRtoejwbWur7kuoPYfVPScHQXXsK2B/8MDn7cENrCf44P7HxX8f0bUtcQj +cflB9EelxmHwuCXm8x39ByTnRLU3ps4PP069BjbGP/Ejcie+RK3aLepcMAU/ +xB8XpPYxfI2alVodPXj2hg5XRf31YWpchltQJywtOr9TAz6pdyeo/93M/nFC +1IngKLXDIQ5VZx5J/nw+8X1KN/nCjbkx9/Kosa4Pew4Je+pf4du5uf6U4BSv +l7wua6AHfR7yEmPTUnObPal5B3mI36tTz78xidwY84fm9ocjuMfKfI9zeeZ6 +nFqcu4VHUsc6OQE/Yj9wgNbwq8mJ98Ze4QCD45w4I+7K2Bd3DtgO/wJjseWk +qLvII4uC/zycGrfBb3ypPtbiDgP+h048xdCNmOkeNRq4VIpxfB9cAd/gSODF +1ZEHL4p8Ss49XCt3TY0VYMbA4B3MoQbm7KhLsP0dYf8/Zc4Lr6pdnpoD/SRx +fI2K2pWYZRyb9E3Ne+G/YA54g22opeGFY9W+XHTsUk9NDdzelxm3Og6fV+Zz +PaD2y9SxMF3tLZnrtN2Zay/8rz1ql/bwvYcz13q/zlwr46v4AbkbPgSWtqeO +9f6J+c3K8LFNgeN/UDswdW7vr72cmjo3dg1MHRr3C2DnsLgr2RG1IvuiHuWc +qEnhj1cEhyQfUo+TNxeGH+KPzOOswX98kvsueACYdag+6OJ7EewAPoBP8C9s +yf0fNqamPTU3bg7MzR8OBudZHVwCWUcnxu4JWndtyfiA394WZzU6avwVUfvA +J+GSz0Z9xFmDz+OjRsA3t8Z9xfzM9Xpb1OzYiRyFrYiPtREjcABqDfysPurK +2VG7LAsOzxnCldkXORafw9+wFbbF//eFjbFbMd4xvjf2NjHxvQ/3P0sz19JP +xF7AHnCfMxucGkuHpL4XI5/NTMwdyGv85n4F7IVjwz2bg3+ODBzYVnBMbAzs +75+Gb6TGf+4kuZs8bFN0GBS5amRmLs63HybOLfgyMdUSa5AbqFn3hA7gw2nh +N3B4Yp+8wHm2xzlS+xFT0wK/l0Z8tUUOJi8jf3Doj9+BdWDRzoh9MABbDYn8 ++GRw+oOZbdMcOYm8SW2Ab1LP9YqabkDUFcQX91XczXEO3OPgc+gJdwGXjs1c +cxwTdQc1X2PUffgQ31JHU6+cG7UM+yDnLgneS147JepQMBGfn1OzLxK758ff +F8ZwR5q6Pr9T/VviDvSa1DXre6HngOBL8Cb4Drh2OFbAN/zz7sQxcp2+PS71 +ufROfbdEvkevVbn5xGq1z+W+E+nMnYvJy+gNNqwK/zw98Is7P2KH9cib3H9/ +HHmcHLUwzgv86x6/b03M4XdIxv7MtWqL2n1NPqMxwZOHRl32QuDepqgjZgU3 ++GbqPe6K++TOuB8j/+AnxBq5a27owL0wMblT3yWJ7f5Mbo6LX/5GY6dXnGPI +89MT12gvZLZp/9jn9tx3Tztyx82s8OebEvsweZ579P2RK6kxwNatmWsP9jQ7 +MUa2B04uiL/7dEhmmjsvZrmxkLVZA/96N3wMrG0JPnYgcZ4/kH59N4dvcM9x +Utx1ECODgs98lnmfn2fG3hcjLzcFD4aDotMh3h5clt/0zwp9ySMPBgZSe+4I +zAKvjkrtM0eq3ZS4fu6qvYxOnB/Jk/8HgI1O3Q== + "]], + PolygonBox[CompressedData[" +1:eJwllmmwjmUYx2/e9z3rsxxrWpyOcZLJvoxibIXKOhEiMqaiCCXlIJJqso+y +tMxYZnDskQmHatLimA5la1TUjBb60BdqWkSq33/+H655rv2572u9mzz85JAp +tUMIR4EsUFwYwv6iEK7mhZADBkUhVNQK4RdgcRxC3ZIQ8gtCuIxef/C+wFLw +luh2Ap+F/hZ02+O0OglhDDYVmRC+Rr46DWEu0Ab8JLyfkW0BjoCvxaYS/BRQ +Cd4a+y/B+6OfAf8rP4Sz4DvgnUD/FFDBv87yj/q5EBoCq6DPpNbdjfxB6F3A +FehK5IOQNS3GB+d9Cd5g7jEV+Tr+15R/bMP3OmQrgGyeY3AN/z1yvtNz6G5E +dpD4zMF/+3zjC+CV55nXAp318HuDd8bfBmRdgHbw2gLb4ZXX9j+fRvcq/sdn +fecr4OXo1gOG8s8cvBr0L+KrCfQa9DcVOUfKTR5wjvtUFllXZx6O/hT0J/Ov +Ldz3b3x2zvmfXcBb4mMDsiHwYuR90S9FfxLye8E/g7cX+Sjk9cFfQ/8SdBVn +nIX9MHgjavuOh8BLsLmJuqmAVwf8rci18jY+z6HfBl438PrE+iSy0cDCWs7p +KuUenXewX4y//anv/mGRY6UY9IO3hm8J9p9jOx2bV/HXAB89wQci34B8Pvrv +gt9APE5jvwm6FzZD0ZmccUyGgc/H/2bkt+Q5Z43gDeb/z3Oe68EP46MS20L8 +PwX9D+frlnMNbOP/H8D7Hl/lyN8HT+EtQL8rvFbQi9D/JeOeWQh+O7y7Mq5B +1eI6eJegFyBfm/gOuksV/79TvcL5F3PGFnnuqQuRZY9g05WzPYPOsoxj8Cx4 +VerYfQu9F3o8PteSq2vAbGzbQ48CHw10SHxmnV05rsF2VOSzFPCPlch2xe69 +TfBmIjuKzb9Z50i52pq6tu6DXq56iJxrxVix3o58Wr5zptwNRmcGvg7jYwn4 +BXRmoVvG3aYh34p995xjrFj/pnrKumZag+8DunOeXfh4KXJPq7dPoPNm4hwp +V+q9qeDPps6r8jsd/EDsOCqec1LnSLl6mTNG+CoHbsz6n/r3ZugunOV3dE7G +7mH1snpGvTMeei70MWAa9E/Q96NfhP158I840+Wsa0K10Qy4GboM+FP9hXxX +cExrwM8AdXOumU+Qj9Z9artHRoG/jvyLrGt0FfgJYF/WPXccvIg7DUd/MD4i +9WOJ54J6NAWv4v/DkQ0DUuQF0MuCeSXQxalt8/GZj6x35F7fC8zA/0DgR/UC +MAD8KmdqVss1+A/4wtR3f5x/LgbvqZpGtpT/9wB/KPbsPwhvne6Dzjd5roGx +6i/qfQqxag19HfSx2LU4G51l6F5BPhH5C/yjEWcrRf5QcI3tQH6P4oftcmzu +1qyOjVej0x28b+re1j+2gT8au1Z24H85dAPoVhnnQLkYF1umGlIt6Uw6m86g +s8yL3GtngT3IyoCOmgfY/5y4JlQbmrmXoadH3nXaWdpdM/HZHN8F3KcY2RNA +dcYxUWwWpY7lrcg7qn9jx3IP92kXe8dp1+nMDaEnxO5V1fCv4PdEzlWKzlfq +PfzVZPzPWeAnYte2ali13FI51DzHf4vYO1i7WDabNI9S95JmZp8Sn1lnHwt0 +Slwzqp3G6JSB1408q1QDHbCfIf/KLT4rlJvIZ0uA08oXPl8pdM2qdrWjtauX +EO8D4Of57xHke6CrgVrwvst4JuzEV2dkRej0ZdYfQn6Vbyl56lfgHX848SzU +jNGs0Q7SLtLO0O5QjavW1VO9kCXAmuA3it4qK6Eb5PzG0Ftjb+q3zd+yAd8Z ++y3ymGYW8qdTx0Jvnqmpd5Z2l2qkCbo/FPsNoreHzvxpYl+bic9B8JpC7zDt +Lt1ZM0uzSzvnvdg9rF5+ANiP73bQ83KOsWKtmCq22tna3Y0T7+YzQCl4nRLv +er3h9Jbbk3p3aia1xX536tmomhgA/h42v2Y9EzUb68IbCf4gcCByD6gXlJMX +oeukPpt2aDX47YlrRTNSs/KOxG8tvfk66z2Czpycd5Z2l2KoWOpN1DXxjtCu +0MzS7GqVeJZoRrYEr5f6LMqZcjcG3qtZz4hSzTPkq3KeEReLHQPFQrw+ul/k +t47upLvprfZRkd92erPpzaW313F8vpG4x9Xr2uFHuM8S9Kfjd0CB81QGnsG+ +Z4F52lHaVXrDjcTXiMi+NNNXIhuSeLZpR2pX1it2zavW5UM7Q7tDb4hO4JNi +70LtlD9i72DtYt15BfgEYH3WNdE29QzULBRvomIfuddXQ9+GvHXq2aIctFHv +pd7VmvkbU9ekalM77ePEbwi9JTSzNsTutb8KXU/qOc0sza7mwH+xZ7hm+XJ8 +jIvMk0xvzg7qt9RvUe0w7bKDhe5p9bLecBcT2+oNc0nzOfHZVZPPYP8/7TWT +lw== + "]]}]}, { + EdgeForm[], + GrayLevel[0.8551709883099771], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmG1sluUVx++nfZ67Ldwv9T1sg+zBF6bIxkrrIuI21H2YCSVB2RdbZIAx +FUXUyOaQFtptWSHWgEwHcdNExM2W6qhzohTdi4iAWzZlG0vM4hZF2JINnXzQ +ZO7/6/8QP1w5133d5zrXuc7L/5z7ri+7fdGqhiRJ+ipJ0ii6sDVJ1k5Oknmi +M2tJ8p4W79R6T5YkD4rn6SJJXs+T5AOt/zHoKY1d4jmo5xWi74jnZs3Xa/2B +Mkk6m5Jkv+ZDerdFz69ovkLvhyXzch0+pnl3alnIuUs8k6tJ8rbWl2o8pHMf +1NqVkjtL/KNa+550XNySJM3NpudM9vwB8RzW3i2iRzU6JO8c8beGzGadWZuU +JOeJv9Tzq+L5WPSAaFXrZ2t9vuTc3WI+eOY1mGeX9HhOchLZ5WBh27yt9XHR +bvFkml8quiP3fVfrrD+LHtEY1rY5umNb6uefi+dPouvEs0EyZ2t9vWhfaTlF +Zrn7NNZrb7fWllTtA+zBM+voMB4+elEyL9S7Du1tT30eZ9xWtR7ocEv48aT0 +/3Vu+xwNu74unhE939doH/24Yt++EX75lvbu0NoIvtV8RPOVms/U3rfEs0fP +68qYa71fPKNae0bzV7X+d62/oHmf1oe1fovmu3T2Zs1XZI4tdEPH78gPdY0F +8sV2+aJf83/pPqt0l9s15urM1THfm1ivlVXfcTjm3AV6a6xfITnflZweyfyR +5gOaH5fMxdKjV3uuF12uca/0PCaa6owOzWui5+eeTxe9TOMlyTsl+r72/SD1 +/m2idY1Jmn+65vWF4jtUsyx8NCI7tEnONO39jeJrp/ToUH7MF8/8Rt9rQ4N5 +PpKc88R/o969Ivp57RnF56KbxPNl8cwOHS+pWU/ssSpswjvm7JkmOlVjSGsD +FZ/RpfU7mnwWz5w30OAcniF5n9NYnlguz6yfFO9FcZ9S+hca1zVbb2QTJ8iZ +EXuvLS1zmHtEDA8FRiDvs7rLZ2q211V6HpI97pnsfNio+bc1vzi1D28LP2Jz +cpx7tOe2W4fo7Nw2eUZnDaaWi19+qHh6S/SvOvNvGlO1vk1r/20yD+dCpwZ/ +b+rYx4/tTcaxomKM2iWefj2/mzruWyvGFLAF3CJOxyY5Vslhcvms0jhCXrBn +T2a8ODN8212z/Kxi/BiOeCYnieHHdK+zNJ9T2B6DLbYJdrq/xbYCJ+ABE9C9 +3mD9l0n2NzWeTEyX14wRS2OdOXRp8PxWuu/WOJEaZ6Y02F/c74YGP78m3jNP +n5V7/pju9KnS8vdpPi8wBcy+RvFxLPUZ3HWJxsPauzo31uwvLRf5zRXLQubv +9X6s0XWI3ClL8/xS76/W2jUaL1KbGgJ/K45/cmluyOsKmYdlp0Maz8qf/yuM +EeAQdvtizbZbFrkPBryfO19uFu+5pXV+QfzbU98B/deW9sO9pdfJ/y69+1rN ++oF9B8Mm2OY/hc/6t+jZpfU+UJrvKuyWGEN74i7vRo2gVjyX+T7Y4J3ccUWt +oOYRW8RVr3hbq/Y9Obs76sK4+P+h+Uu5sXY8asprufN5tLCd7gvM587c/cLM +WAN+XJBZ3ljI3Bq+uUHrb4p+v9G+WCIbjOouA3q+u7RON+WuIQNRR6gz/VFr +Fja5P8g17oh4IC4yPU9P7Q9qUW/odkngEvfbGvbHD9TbGwNb5hfGi48L5wy+ +bSuMT9yLunUqMPwi6b+xyfWdOg9mQsf17qbM9fX+0rrPDXxbUBp//6D3v5Cc +K4nJ0v0Bc/x4JHdvMxx18vLI5Xsy2+Ipve/Unq9q/anMuNgd+p/GbnQ4HD7C +VztFn2g0Xm3KPe/MjH/TAtuxzcWBvZviPviPukv93Ss6ED57VvMLhCG58n2R +4qg3+pXdWn8+N15Rz1/W+yeUO18JP02JnPpLxDl+BxO6oz+5PurpYsmblRnb +7qQnanL+gTmHM9cF6sNY2BO7Ygts8iXxF02OD87E1vB8IWJ5f8jBBuA4NsHn +Ez1AxXUAv+LLPWFn7E1NHox63Rny14r3aOoYYv5y6Xw4o3TtJl/IG+rkQNTJ +3dEXUMPoB/E7/s8jnvHjubnrDvVnc9W1ljo7ERcVx8NPS9ezb4h3TeQLeQNe +UmOoLx8qdq/QGR8Vzgt0Rc/e6DfwBTk3kXuJexpwAUxgfVX0S9RpZCL7/NT5 +BY5tiZ75Z/i6apvujJ720sAibNMZtpoe+8nNMvKUdWojMTgS9j+dTx/kxodb +RdeljhXi5J+pY4paU89tW+KCOKL2DEUvQSzTq9AL0pvjf+pyR9RmYooaQ32Z +0+R3xNxg4ftsLKwjumKvvtT+BU+6Yg/81NEFIZ98WBx1C3pdzDlnUcyPVI2B +xAJn4ytqKN8E+6IvBzvAkN/lgXnhd3pfYuAN8DVzzaiUjvky7DzxLVFxP0DO +5RFXReQEfoe3iHtxxyz2kpfkJ3WFd0XwY1vsD/6TB+QDvRc98fGIOWINjJ4V +MdMTcXN1yKNe8Xw8eiD8eCL63no8M18YuqEPWEZ+gI1tEdfEFT0cvqVP5jsB +2Rsyxzh3IcbAv7WpcxA7H4v9J3Pjck/umrw96u+JoOgw0f/WnBfU5+0R83xP +EmMrM8smzzdHL08+os9EP1sz5hNjS6NfItdH4y74+FD0J/2RA/j4UWHmmhbX +Y+xN3NPTgNXIJR+Jw97IX+4xGn0L8tApjf6dHKImzAuMwZb0juTn89L/Mn2r +H9B5XxedFlizRDH/K6093uL47orzOKse506KXrcv+t169DDY573CNam9cC+L +T/EtNYT+hD5lZlB8wTdtFrGKL7qip4Vui7O4PzYm9sC5euQgfTk4uTVzT/dm +9BL05IMRn3xvg7OHop4/FHLuiv8M/G+g9s2I3gD7ETfYEN2IOfTDNhviG4je +ak76yXvmT8a3D7gDtnO3tlgfz9xPTynN2x7rHzbb363VT76jiGm+L7e1OE/2 +Zu71+Z5D5p6I/31Rz+jRwDbqGs/8C+F7oz++tzriLsTXxHeI5P+kMAY9Urju +7QhsSaP/IyanR414OL6bBiK2+YaHf430+j+6GzOG + "]], + PolygonBox[CompressedData[" +1:eJwtlm1MlmUUxy/elOd57hdMdLkli1KXlWXGU2tqRdHWl/pgoy8KJmWTaWlv +WE0ZQbbEtTJdaiutZWoJ2KQMzMg08I3VllrrQzVrlFZbkdaH2qLff38+nO1/ +7vN+Xeec665sWD7v4cIQwvNQMbQnCWEI8GdRCIujEHZBf4P/gk7GIXRnQ5iT +CeHXMSH8BlXmsONbdWkId0FzkR2Gz48NoQoqh/8U/nrwgpIQFuFjEgE3FYRw +H3gq9inye7CthVYT7ytinYbeQ36EfDrRHSGnY+Bn0d+Mz3PEbkT/aGJZO/7H +Yft2xjkotmJewEcF8mr8VYGfROckeDa5/IPtfPhuxUNnK3weWgge4Nt29CcQ +7wn8pXwrJV5BGsId2HaRUyu2U6HJxY6hWHuzrlm1/kKOnXy7mnoj5D+B6/Df +hu0g/AbwO6nxeb7tku8y8iJOGd9Wwh+BFuIrQT6DWA9CfUW+I93Vv4lrmUGM +OeDboIeQLVPN4BWRa/mGXDbh60ZyuBXdg9z1DeAHdMbIX4AeAd+N/k5wP/Zr +sR+GXiF2vXoCfIj62qlvOv5a0FuKTUeBz+A8uAnZVnQqC13DtMix3gQvwf7L +2L3UCi0BD6SOvQD9fvCjsWuV78fA41OfXR3yXnz18K0X+Rnk+8FDxBok5j7u +emC0B9QLNyOfibwV+6ox7qmz8GfJYRrnNQw/CP9+at11+O8GtyeufQffDuv+ +oTz5nyHmRPC9se+qGaoFfx57Vq7C5xvEfpFcns55FmYSdyvfpiO7AjqH79rI +tpPhv4ffBn8lOI+Py/F1WWysHJVrBfws3Q01jeA3znpmNCvzSu1TvuVDvmbB +j6eW6+D/AG+JHOsS6Dv4ltR5/YjPvtg5K3fNwEb4a2OfRRc1XwP+GVql3LB5 +XGeZuBc0I5qVkcS9tpua/gPvRf/rIvegenEP/Kki7xDtkg+h+fjPIS/D326o +rdA1doBvx2Y5shVQDXgf9t8iqyHHTtmjM1cLC74HPAlqAL/LpzLk9disL/aM +adZ+T3wWmhnNzqXq+eCYlbFtZKseUa9sSN176u+Nqc9MZ3eB89+M7hbud03O +u0A7SD2t3n5OOxJ/UyKfXT2yNdivSu1rLXZ3Mtvd6NxU6JlpQfdi5ItKXMPH +8EfhG5H/gL9j4B0Zz5xy0k4dC56S893XQAn87Ix3oXaodobmrhn9JnDQmZaM +7iz8n4p9V8rhNHhxbF3tgJfRbUJne4F3lnbXM5F3nc78A/hGqK3Id/pU5BnW +LGunard+AX8Ruqup+SX8ndBOLPKZH4+9g7SL1FMN8DvJ/bOsd+Ut1Ncbe7a1 +b5tTvzX9Wcv05mSJ8ZrOl3omIi/PeQdo9vUGaWY1u5rZQ7F7Vr0rG9lOgK8r +8U49EHmmNFvqmQr4fOy3ohp5B/yy2HerHmyDPxD7brSDtItUo2rVjmxE/lHk +3BRDsdQD6gWd2XBsn/KtHlev5/WGYHs/347rvDK+Y92tdtqJxL2uN1Bv4bbE +b5XOVGfbF9lWPaReGpd6l2rGeiLPjGZHPaBe6Ir9VuiOVyLbH3m3qufKkR+M +vRuU0yeaFeTrC3ynr8N3Jd6d+taZ+I3WW62Zb448I5oVvSHrkC2N/NZrJ70V ++214NTP678C3odi7QP8E+jf4HyMtH40= + "]], + + PolygonBox[{{3966, 1039, 2839, 2760, 4150}, {4156, 2939, 2446, + 1584, 3969}}]}]}, { + EdgeForm[], + GrayLevel[1.], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJwtVU1IlFEUfeOo44zzfZ+aiYajWQQhBCn+BLUoFdpGRMtRxzZp9g+1qTQq +2iRCQYsszQItNCIN8ycTDKQI3BTo3kohglIwIapzOnfxeO97795z7zv33PeV +pU4dPpnmnOvDCGM0RpxrwsgNOXcncG4407nbmEcwj2I8gY0X0vc9rOfDsunE +3J/l3BBGCfzX8d2b7tw1zHfh3wOf03HnjuD8IUYCNt3YX8X5vOfcS8MndknM +ucps507A7hvmIny3YD0TdW4L1oPwrfed24vEh4C5P8O5BeDswXcvzg/Brhzr +rbArxQiAWYUYk8h3DfOjkOIxFrGKMTZhvQLMCPwexMUBucjDfp0v7BfwzQR+ +IXLKxd0WEfM6xgRwu8LigtgfYHcGe8vwa0XeFdjLx2gGXi1wXuFsd4bufgXr +t5gr8V2IsypglyJGO/yehhR3HDbnwZWHmF89YfCMOLw/eajGfmOa4v/nELFq +0pT/MPJYgu8zzA3GG/krRpwERluWYrNGt5zuthSWP2tCrsghOWY9mQ/rXW7x +tqYpJvVwE/nXxVTjPtThRrbqsIz8fOBeDYQ5YvyPGjZ1xfvwXsRvAEZ9TJpi +fMah3UHsdQFzAPsdcdVgxBOXX4A/G9Y9mAvvkvL0TQ1SC9QRa8G6tFttnnuK +ewl41b7VwZdtq9l/Bm4r9idC0nDCdENep3A2ibHqSQ9tmKc9cdgRyC5hWuJc +Ymvehznx7mUR8RSYJhmDfrwT9TFrfJeZzRtPOc1gLoypT1qs/zYsRioizSUx +ysFhXrrqRp12mlaLLZcxpx7gN9fbPfVCLzjZhTGA/blAPTmH9c6Q9EE+8uwe ++VbH1+wfnBXC/oD1DnuIPnPWa7/5DsSU0zvM3dBKRab6jph8f9asZ3cA73Jc +NWKtGJfc0q7H9Md6dwbC2JejmAumVfZLs71p1B91mBNX3diH7EHWb8r6kbyO +RVRvck89UEt8e1ayVR/yQn74ZrBfGJc5sQe7jFtqfzymupIPxmUuvPfFqO7O +PLhfFKgm3GOdHXy/R1VL8kj/adhGsxSvxnqPttQD7XjGfXI8aDw/9pQ/dX3O +U25nMR+Pq2f4Bl+I6l0jLrlMWj8nTT/sy/ue+DkGvz++3ty/vnRJjshPs2mO +PKfs/eSa2ukybgrsHYsB55On/8RHYscVd3Og/8a6vav85v6knTdabqw965Nr +6ybTMUejafinr3f1h6+9pO0fxX0LssUXMZoMhzkxN761jP/Lcli1/qM2+u3/ +xj7m+aLZ0I/5kb/3gfRTHVfclMXm/4D/hW2eMDbsjWb8WsvhH5Qu4UM= + "]], + PolygonBox[CompressedData[" +1:eJwlk19ojnEUx8/e55297/O8z/OMMu/UbCMlpby8iyIxijuSXKJNLe/8d0H5 +txVxJcWNIvOnJkzDhezdZhdqkbUbivsZu1HsAiV8vp2LU9/z+53zPef3PefX +2nFk5+GMmbVjWWw6NBvLmz2oMxvHGiKzk/hzucznzM6kZsvnmPUGZqfB72Oz +n+ALWAV8vmD2Ebyx1uxvYvYI/1fgMR+4/4LFcLVQtBM8A389NXflvGY7+BJn +TeA7nP1LnGst8ZvAbfC94O4zfK/I30z8DeIfE3s351yXI88V5xNypqhXJX6C ++CHu+3hPCxyt2LPYuR/WmJ2DeylWRYc+crrIXRW5JtLiIHzHib8CVz/+CmK7 +8S/if8J68JuILZGzDL5u4s8WnHsNNZ7GrpG0kkbSaj69FMnpJLYZzrHY3zZE +zkjsGkvrATS/Dt5Wj06hz0CzOArHTWKL8N8nfj/+cOBvHqD/Cv5r/Gn8wcQ1 +l/bK6QAvgGMv/h5smNhJzmaJX4nm9/Bfht6jepNmqv2HXudlvYdT3N1WPxk/ +W09/Jc6vcr4dPArHPu4q2MLUTVgzfAtuxJKsx4wUvEf1qh4O4PdwPxU4Zy/4 +G7y7876Lv+FYjdZbqd+PX6px7ReFPivNoFrwt2nnGlLfFYs8VzujmWg26uEr +uAubDHzGJ8A78r4z2hW9UZpIG2l8K/ad0m4dg/Zd7DPT7NTzKLgNW5fxnSqD +r6U+S9VQreex747+iP6Kdk67p52a5e67drDWZ6hZlhOftc5+gBfHXruOsyXg +Im97E7pe+rPNoWskbQ7x3g28pxw5rmDjqe+ydkC7oL+3JfS/pD/YGHqOYrWj +/wGopIk6 + "]]}]}}, {{}, {}, + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3230, 3817, 3231, 3363, 3362, 3816, 3532, 3533, 3758, + 3757, 3172, 3485, 3235, 3535, 3984, 3177, 3760, 3178, 3825, + 3826, 3636, 3637, 3492, 3184, 3991, 3426, 3427, 3559, 3956, + 3082, 3862, 3259, 3861, 3260, 3863, 4039, 3117, 3442, 3443, + 3431, 3987, 3988, 3963, 3964, 4168}], + + LineBox[{3652, 3651, 3244, 3381, 3380, 3572, 3109, 3687, 3571, + 3435, 3200, 3507, 3243, 3541, 3540, 3434, 3199, 3838, 3839, + 3649, 3650, 3506, 3198, 3504, 3197, 3505, 3560, 3970, 3088, + 3865, 3261, 3864, 3262, 3866, 4042, 3125, 3519, 3520, 3517, + 3518, 3968, 3969, 4156, 4175}]}, "0.8999999999999999`"], + Annotation[#, 0.8999999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwVzb9KAmAUhvHTJvRHG2qMvIW8hpaQBkmXSCqsRagksmvIhsBMalGhpSho +tNmowcJdh5pyrTuon8PDc95z3o8vvXuYO5iKiCwaMxGjuYgrXpyNWMBQ7vEL +auYzrLufy9f8Kd/wF+d5wz6PAu6SEfeou11iC0Us6f1Ns86j+wPW8GGftlvG +WK/P72ibW9h0b8gdHvCFN3vmJ7d9/uFfrCCDW52yfVNv27yDbxzLCfsUdznJ +zzzPr3jDkV4FJdQn//AJV3GK1VTEPyu7LQk= + "]], + + LineBox[{4025, 3918, 3247, 3383, 3382, 3574, 3110, 3688, 3573, + 3436, 3203, 3510, 3245, 3840, 3246, 3841, 3202, 3508, 3201, + 3509, 4023, 4024, 3786, 3787, 3783, 3785, 3784, 3089, 3376, + 4020, 4019, 3917, 3281, 3375, 3374, 3570, 3108, 3973, 3569, + 3433, 3193, 3503, 3240, 3539, 3538, 3432, 3192, 3834, 3835, + 3644, 3645, 3502, 3191, 3500, 3190, 3501, 3558, 3967, 3086, + 3859, 3257, 3858, 3258, 3860, 4040, 4041, 3515, 3516, 3512, + 3514, 3965, 3513, 3966, 4150, 4169}]}, "0.8099999999999999`"], + Annotation[#, 0.8099999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwV0D0vQ2EYBuDHJNFPk0oQZiWMFh20RMqgiYT6GJgYCIvyF4iEKAZfA4vE +6hd0YSEREkZ/wC4GV4cr9/M+5z7vSU7fymZloyUiVhlMRuykImoMZyKGWEtH +rDNqV+BNp+Q8zgQ/iYiiXoke5266aOi162d5cX5llzH7mizKPXkk3+Wx/Gje +Kctyimlu3XvHvvmAGSrk9H59u8P9f/JeZ5Jn+067HN96dU45Yc6zM3kpnzw/ +1J83n9tV5afzF2UeqOss2lflQnMmrzvAlflG51oucWFelltym17vtZIwJ2kj +TYq8/Yhuv2w4z/JozmT9Lwr8A2NVMC4= + "]], + LineBox[CompressedData[" +1:eJwV0Dsyg2EUgOGTWkjYgdGRxBDjFkN0DJUdMCMlgzCEDWAdLolKQaEhbnXY +gssaGDE8f/HM+33nfPmL9K6sL62lImKZnzSdEW2qbLNDmVk+7UuZiA+d0h4t +JvuuiBmmeTUbNhui4M0geXJU7A/sn7WubW3or+7ro9b0Sa+8v+be+YFbmtyR +8Sbv+2m99GaRlnPObCDh3ufer6veV51v9Exf7FtU2HL/Mv9mkhIX5pvmdd3Q +ho6bTyS/dz7nhFN2fb/GHh3ejnozxpvdO4fmxxwxYv9nVtSUzjNH0707679k +gX8/gjYs + "]]}, "0.72`"], Annotation[#, 0.72, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwVzrtKgmEYwPEn6GBkGbUZJJZdRTdggwWZUavNKrjawRpCGlqCpNPcJbQH +tTQ5NRh2cHDtBgR/Dj/+3/PyfO/3Zcu13epERGxzlYyoL0Rsal63WPb8PxeR +mI+Y5d28mop404wuOevYO+aEBmec8smNvXPNa3N8p17orXa1rV+6o0Xdo8Sz +u6913/mBHpL2PPQvad9c4cO8bm+DHBlnfXv3PHDHE48MmFyM+PZO2e6PTpl7 +Oq1/euT8V2fMCYrmV2ruvXT+ohWqtMxrdgqMAE1ZKU4= + "]], + LineBox[CompressedData[" +1:eJwVz7FKQmEYxvFXyEHIDO/AsDw5dAFBt2Ag7ZEFNZhOXUR3UVHNqZVF6tJc +bW1NOZtQFjREvzP8+b/P873fdzilRrveykTEJrqFiNFCxNF8xAMPMUBeXs1H +VPGSzvaeecqJLuElucJ79u9xhx9c6r95hl205T6f8ydf8Be3+IYP+ZavvHXN +TbnDPXSRk1d8s4KndLb3gQmWdRso6f/wi6w8hzIa7u9g2zxzVjS/crIYMeY1 +fk//j6vY8uYjzuwf6E94n0/5mN+crdur4R+2ji8t + "]]}, "0.63`"], Annotation[#, 0.63, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3057, 4001, 3700, 3132, 3699, 3133, 3701, 3211, 3906, + 3907, 3695, 3696, 3126, 3397, 3127, 3697, 3453, 3216, 3794, + 3615, 3458, 3141, 3407, 3408, 3409, 4003, 3715, 3146, 3662, + 3663, 3664, 4006, 3725, 3152, 3670, 3671, 3097, 3067, 3727, + 3728, 3674, 3675, 3099, 3070, 3474, 3475, 3417, 3994, 3995, + 3948, 3949, 3103, 3072, 3846, 3847, 3845, 3849, 3848, 3114, + 3384, 4033, 4032, 3922, 3253, 4107, 4108, 3942, 4151, 4167}], + + + LineBox[{4059, 4060, 3822, 3821, 3680, 3171, 3756, 3234, 3820, + 3819, 3679, 3170, 3818, 3233, 3632, 3633, 3484, 3169, 3482, + 3168, 3483, 4015, 3755, 3167, 3753, 3166, 3754, 4014, 3752, + 3165, 3749, 3751, 3750, 3078, 3747, 3748, 3744, 3746, 3745, + 3077, 3480, 3481, 3478, 3479, 3950, 3952, 3951, 3076, 3630, + 3631, 3553, 3554, 3974, 3976, 3975, 3122, 3581, 3582, 3328, + 3327, 3399, 3264, 4109, 4110, 4067, 4152, 4170}]}, "0.54`"], + Annotation[#, 0.54, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3075, 4096, 4097, 3937, 4099, 4098, 3293, 4094, 4095, + 3936, 4093, 4092, 3074, 4088, 4089, 3935, 4091, 4090, 3292, + 3897, 3898, 3894, 3896, 3895, 3073, 3812, 3813, 3627, 3626, + 3625, 3228, 3357, 3356, 3568, 3101, 3972, 3567, 3416, 3473, + 3472, 3528, 3100, 3676, 3415, 3601, 3600, 3285, 3891, 3892, + 3890, 3290, 3893, 3291, 3578, 3577, 3729, 3159, 3927, 3451, + 3452, 3905, 3316, 3693, 3694, 4155, 4157, 4166}], + LineBox[CompressedData[" +1:eJwV0LsyQ1EUgOGlzrVxF5ICDZ0CtQl1OkQKLcNLJGg9gHfwDJ7AbSQYnful +kERC5zvFN3/22uesTFLa3q/sDURElftMRJMWN5zkIu70WG/1NB2x6vOvlvVP +17Sn8/mIvg7pMCO0UxHv7j+o8sUnZ56b0ALjvPHKonk6G5EhRY4s1+Yz9s0y +yhiDZl37L713xQYl8yLL7go6xSTTLJk9e+aFTZ54pGV/gwPqHHHIA9/u22zR +pUPTnp72qSXvO/8k/4+ea13XtaEXye/z3XN0nHfs3GXBeYV/6Lo48Q== + "]]}, "0.44999999999999996`"], + Annotation[#, 0.44999999999999996`, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3227, 3527, 3989, 3526, 3411, 3156, 3471, 3226, 3525, + 3524, 3410, 3155, 3808, 3809, 3623, 3624, 3470, 3154, 3468, + 3153, 3469, 3552, 4064, 3252, 3921, 4030, 4031, 3263, 4029, + 4028, 3920, 3207, 4055, 4056, 3621, 3622, 4065, 4066, 4054, + 4160}], + + LineBox[{4002, 3605, 3980, 3134, 3702, 3135, 3454, 3212, 3521, + 3981, 3137, 3703, 3138, 3795, 3796, 3616, 3617, 3331, 3142, + 3398, 3324, 3325, 3402, 4063, 3250, 3919, 4026, 4027, 3251, + 4043, 3147, 3926, 3148, 4052, 4053, 3618, 3619, 4131, 4132, + 4124, 4176}]}, "0.36`"], Annotation[#, 0.36, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3213, 3455, 3136, 3403, 3404, 3092, 3059, 3456, 3999, + 3457, 3405, 3992, 3993, 3943, 3944, 3094, 3061, 3564, 3565, + 3272, 3603, 3604, 3388, 3387, 3347, 3113, 3903, 3904, 3587, + 3589, 3588, 3313, 4149, 4161}], + + LineBox[{3620, 3466, 3149, 3463, 3465, 3464, 3065, 3461, 3462, + 3459, 3460, 3945, 3947, 3946, 3064, 3550, 3551, 3273, 3566, + 3874, 3873, 3348, 3121, 3591, 3592, 3590, 3594, 3593, 3314, + 4116, 4117, 4172}]}, "0.27`"], + Annotation[#, 0.27, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3063, 3872, 3271, 3561, 3563, 3562, 3249, 3843, 3844, + 3549, 3548, 3576, 3658, 3095, 3971, 3575, 3406, 3450, 3998, + 3449, 3120, 3902, 3311, 3901, 3312, 4144, 4145, 4147, 4146, + 3396, 4177}], + LineBox[{3386, 3338, 3339, 3214, 3788, 3790, 3789, 3842, 4062, + 4044, 4045, 3928, 4047, 4046, 3112, 4139, 3309, 3941, 3310, + 3395, 3394, 4153, 4162}]}, "0.18`"], + Annotation[#, 0.18, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3062, 3335, 3611, 3610, 3609, 3215, 3343, 3342, 3119, + 3585, 3307, 3584, 3308, 4143, 3586, 3304, 4115, 4158}], + + LineBox[{3330, 3334, 3608, 3607, 3606, 3267, 3341, 3340, 3111, + 4105, 3305, 3940, 3306, 4106, 3303, 4163}]}, "0.09`"], + Annotation[#, 0.09, "Tooltip"]& ], {}, {}}}], {}}, { + DisplayFunction -> Identity, DisplayFunction -> Identity, + Ticks -> {Automatic, Automatic}, AxesOrigin -> {0., 0.}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines -> {None, None}, AxesLabel -> { + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + FrameLabel -> {{None, None}, {None, None}}, DisplayFunction -> + Identity, AspectRatio -> 1, Axes -> True, AxesLabel -> { + FormBox[ + TagBox["x", HoldForm], TraditionalForm], + FormBox[ + TagBox["y", HoldForm], TraditionalForm]}, DisplayFunction :> + Identity, FrameLabel -> {{None, None}, {None, None}}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLinesStyle -> Directive[ + GrayLevel[0.5, 0.4]], + Method -> { + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, + "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + PlotRangeClipping -> True, PlotRangePadding -> {{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, Ticks -> {Automatic, Automatic}}], + StyleBox[ + "\"\[PartialD]IMPLIES(x, y)\"", FontFamily -> "Helvetica", + StripOnInput -> False]}, + "Labeled", + DisplayFunction->(GridBox[{{ + TagBox[ + ItemBox[ + PaneBox[ + TagBox[#, "SkipImageSizeLevel"], Alignment -> {Center, Baseline}, + BaselinePosition -> Baseline], DefaultBaseStyle -> "Labeled"], + "SkipImageSizeLevel"]}, { + ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, + GridBoxAlignment -> {"Columns" -> {{Center}}, "Rows" -> {{Center}}}, + AutoDelete -> False, + GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + BaselinePosition -> {1, 1}]& ), + InterpretationFunction->(RowBox[{"Labeled", "[", + RowBox[{#, ",", #2, ",", + RowBox[{"{", "}"}]}], "]"}]& )]} + }, + AutoDelete->False, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], + "Grid"]], "Output", + CellChangeTimes->{3.887953851462846*^9}, + CellLabel-> + "Out[732]=",ExpressionUUID->"c3b91e04-bb87-4fb0-857d-3c7cdc7e99d0"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"logicGates", "=", + RowBox[{"Grid", "[", + RowBox[{"{", + RowBox[{"{", + RowBox[{ + RowBox[{"Grid", "[", + RowBox[{"{", + RowBox[{"{", "legend", "}"}], "}"}], "]"}], ",", + RowBox[{"Grid", "[", + RowBox[{ + RowBox[{"{", + RowBox[{ + RowBox[{ + RowBox[{ + RowBox[{"Style", "[", + RowBox[{"#", ",", "16", ",", + RowBox[{"FontFamily", "->", "\"\\""}]}], "]"}], + "&"}], "/@", + RowBox[{"{", + RowBox[{ + "\"\<\[Not](x\[CirclePlus]y)\>\"", ",", "\"\\"", ",", + "\"\\"", ",", "\"\\""}], "}"}]}], ",", + RowBox[{"{", + RowBox[{"notp1", ",", "andp1", ",", "orp1", ",", "impp1"}], "}"}], + ",", + RowBox[{"{", + RowBox[{"notp2", ",", "andp2", ",", "orp2", ",", "impp2"}], + "}"}]}], "}"}], ",", + RowBox[{"Dividers", "->", + RowBox[{"{", + RowBox[{ + RowBox[{"{", + RowBox[{ + "LightGray", ",", "LightGray", ",", "LightGray", ",", "LightGray", + ",", "LightGray"}], "}"}], ",", + RowBox[{"{", + RowBox[{"False", ",", "LightGray"}], "}"}]}], "}"}]}]}], "]"}]}], + "}"}], "}"}], "]"}]}]], "Input", + CellChangeTimes->{{3.887892204119735*^9, 3.887892316896406*^9}, { + 3.887892362247007*^9, 3.88789253015245*^9}, {3.88789260144003*^9, + 3.887892650057679*^9}, {3.887950107502054*^9, 3.8879501338027153`*^9}, { + 3.887950185300033*^9, 3.887950412443838*^9}, {3.887951205763814*^9, + 3.887951254126058*^9}, 3.8879516684979067`*^9, {3.887951757753828*^9, + 3.887951773660573*^9}, {3.887951824068047*^9, 3.887951824352274*^9}, { + 3.887967044108746*^9, 3.887967074768607*^9}}, + CellLabel-> + "In[735]:=",ExpressionUUID->"fd14bacd-dcf1-4542-8962-7b9ff7627e9f"], + +Cell[BoxData[ + TagBox[GridBox[{ + { + TagBox[GridBox[{ + { + TemplateBox[{ + StyleBox[ + StyleBox[ + PaneBox[ + GraphicsBox[{ + RasterBox[ + SparseArray[ + Automatic, {16, 1}, 0., { + 1, {{0, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, + 15}, {{1}, {1}, {1}, {1}, {1}, {1}, {1}, {1}, {1}, {1}, { + 1}, {1}, {1}, {1}, {1}}}, {0.093, 0.155, 0.217, 0.279, + 0.34099999999999997`, 0.403, 0.46499999999999997`, 0.527, + 0.589, 0.651, 0.713, 0.775, 0.837, 0.899, 1.}}], {{ + Rational[-15, 2], + Rational[-225, 2]}, { + Rational[15, 2], + Rational[225, 2]}}], {Antialiasing -> False, + AbsoluteThickness[0.1], + Directive[ + Opacity[0.3], + GrayLevel[0]], + LineBox[ + NCache[{{ + Rational[15, 2], + Rational[-225, 2]}, { + Rational[-15, 2], + Rational[-225, 2]}, { + Rational[-15, 2], + Rational[225, 2]}, { + Rational[15, 2], + Rational[225, 2]}, { + Rational[15, 2], + Rational[-225, 2]}}, {{ + 7.5, -112.5}, {-7.5, -112.5}, {-7.5, 112.5}, {7.5, + 112.5}, {7.5, -112.5}}]]}, { + CapForm[None], {{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + CapForm["Butt"], + LineBox[ + NCache[{{ + Rational[-15, 2], -98.4375}, { + Rational[15, 2], -98.4375}}, {{-7.5, -98.4375}, { + 7.5, -98.4375}}]]}, { + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + CapForm["Butt"], + LineBox[ + NCache[{{ + Rational[-15, 2], -84.375}, { + Rational[15, 2], -84.375}}, {{-7.5, -84.375}, { + 7.5, -84.375}}]]}, { + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + CapForm["Butt"], + LineBox[ + NCache[{{ + Rational[-15, 2], -70.3125}, { + Rational[15, 2], -70.3125}}, {{-7.5, -70.3125}, { + 7.5, -70.3125}}]]}, { + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + CapForm["Butt"], + LineBox[ + NCache[{{ + Rational[-15, 2], -56.25}, { + Rational[15, 2], -56.25}}, {{-7.5, -56.25}, { + 7.5, -56.25}}]]}, { + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + CapForm["Butt"], + LineBox[ + NCache[{{ + Rational[-15, 2], -42.1875}, { + Rational[15, 2], -42.1875}}, {{-7.5, -42.1875}, { + 7.5, -42.1875}}]]}, { + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + CapForm["Butt"], + LineBox[ + NCache[{{ + Rational[-15, 2], -28.125}, { + Rational[15, 2], -28.125}}, {{-7.5, -28.125}, { + 7.5, -28.125}}]]}, { + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + CapForm["Butt"], + LineBox[ + NCache[{{ + Rational[-15, 2], -14.0625}, { + Rational[15, 2], -14.0625}}, {{-7.5, -14.0625}, { + 7.5, -14.0625}}]]}, { + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + CapForm["Butt"], + LineBox[ + NCache[{{ + Rational[-15, 2], 0.}, { + Rational[15, 2], 0.}}, {{-7.5, 0.}, {7.5, 0.}}]]}, { + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + CapForm["Butt"], + LineBox[ + NCache[{{ + Rational[-15, 2], 14.0625}, { + Rational[15, 2], 14.0625}}, {{-7.5, 14.0625}, {7.5, + 14.0625}}]]}, { + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + CapForm["Butt"], + LineBox[ + NCache[{{ + Rational[-15, 2], 28.125}, { + Rational[15, 2], 28.125}}, {{-7.5, 28.125}, {7.5, + 28.125}}]]}, { + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + CapForm["Butt"], + LineBox[ + NCache[{{ + Rational[-15, 2], 42.1875}, { + Rational[15, 2], 42.1875}}, {{-7.5, 42.1875}, {7.5, + 42.1875}}]]}, { + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + CapForm["Butt"], + LineBox[ + NCache[{{ + Rational[-15, 2], 56.25}, { + Rational[15, 2], 56.25}}, {{-7.5, 56.25}, {7.5, + 56.25}}]]}, { + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + CapForm["Butt"], + LineBox[ + NCache[{{ + Rational[-15, 2], 70.3125}, { + Rational[15, 2], 70.3125}}, {{-7.5, 70.3125}, {7.5, + 70.3125}}]]}, { + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + CapForm["Butt"], + LineBox[ + NCache[{{ + Rational[-15, 2], 84.375}, { + Rational[15, 2], 84.375}}, {{-7.5, 84.375}, {7.5, + 84.375}}]]}, { + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + CapForm["Butt"], + LineBox[ + NCache[{{ + Rational[-15, 2], 98.4375}, { + Rational[15, 2], 98.4375}}, {{-7.5, 98.4375}, {7.5, + 98.4375}}]]}}}, + StyleBox[{Antialiasing -> False, + StyleBox[ + LineBox[{{7.5, -112.5}, {7.5, 112.5}}], { + Directive[ + AbsoluteThickness[0.2], + Opacity[0.3], + GrayLevel[0]]}, StripOnInput -> False], + StyleBox[ + StyleBox[{{ + StyleBox[ + LineBox[{{{7.5, -98.4375}, + Offset[{4., 0}, {7.5, -98.4375}]}, {{7.5, -70.3125}, + Offset[{4., 0}, {7.5, -70.3125}]}, {{7.5, -42.1875}, + Offset[{4., 0}, {7.5, -42.1875}]}, {{7.5, -14.0625}, + Offset[{4., 0}, {7.5, -14.0625}]}, {{7.5, 14.0625}, + Offset[{4., 0}, {7.5, 14.0625}]}, {{7.5, 42.1875}, + Offset[{4., 0}, {7.5, 42.1875}]}, {{7.5, 70.3125}, + Offset[{4., 0}, {7.5, 70.3125}]}, {{7.5, 98.4375}, + Offset[{4., 0}, {7.5, 98.4375}]}}], { + Directive[ + AbsoluteThickness[0.2], + GrayLevel[0.4]]}, StripOnInput -> False]}, + StyleBox[ + StyleBox[{{ + StyleBox[{ + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.062\"", ShowStringCharacters -> False], + 0.062, AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 3}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, -98.4375}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.186\"", ShowStringCharacters -> False], + 0.186, AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 3}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, -70.3125}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.310\"", ShowStringCharacters -> False], + 0.31, AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 3}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, -42.1875}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.434\"", ShowStringCharacters -> False], + 0.434, AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 3}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, -14.0625}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.558\"", ShowStringCharacters -> False], + 0.558, AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 3}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, 14.0625}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.682\"", ShowStringCharacters -> False], + 0.6819999999999999, AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 3}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, 42.1875}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.806\"", ShowStringCharacters -> False], + 0.806, AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 3}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, 70.3125}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.930\"", ShowStringCharacters -> False], + 0.9299999999999999, AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 3}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, 98.4375}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}]}, { + Directive[ + AbsoluteThickness[0.2], + GrayLevel[0.4]], { + Directive[ + Opacity[1]]}}, StripOnInput -> False]}, {}}, {{ + Directive[ + Opacity[1]]}}, StripOnInput -> False], {"GraphicsLabel"}, + StripOnInput -> False]}, {"GraphicsTicks"}, StripOnInput -> + False], {{ + Directive[ + AbsoluteThickness[0.2], + GrayLevel[0.4]]}}, StripOnInput -> False]}, { + "GraphicsAxes"}, StripOnInput -> False]}, PlotRangePadding -> + Scaled[0.02], PlotRange -> All, Frame -> True, + FrameTicks -> {{False, False}, {True, False}}, FrameStyle -> + Opacity[0], FrameTicksStyle -> Opacity[0], + ImageSize -> {Automatic, 225}, BaseStyle -> {}], Alignment -> + Left, AppearanceElements -> None, + ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> + "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { + FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> + False]}, + "BarLegend", + DisplayFunction->(#& ), + InterpretationFunction:>(RowBox[{"BarLegend", "[", + RowBox[{ + RowBox[{"{", + RowBox[{ + RowBox[{ + RowBox[{"GrayLevel", "[", "#1", "]"}], "&"}], ",", + RowBox[{"{", + RowBox[{"0.`", ",", "1.`"}], "}"}]}], "}"}], ",", + RowBox[{"{", + RowBox[{ + RowBox[{"{", + RowBox[{"0.062`", ",", + RowBox[{"Directive", "[", + RowBox[{ + + TemplateBox[<|"color" -> GrayLevel[0]|>, + "GrayLevelColorSwatchTemplate"], ",", + RowBox[{"Opacity", "[", "0.5`", "]"}], ",", + RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], + "}"}], ",", + RowBox[{"{", + RowBox[{"0.124`", ",", + RowBox[{"Directive", "[", + RowBox[{ + + TemplateBox[<|"color" -> GrayLevel[0]|>, + "GrayLevelColorSwatchTemplate"], ",", + RowBox[{"Opacity", "[", "0.5`", "]"}], ",", + RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], + "}"}], ",", + RowBox[{"{", + RowBox[{"0.186`", ",", + RowBox[{"Directive", "[", + RowBox[{ + + TemplateBox[<|"color" -> GrayLevel[0]|>, + "GrayLevelColorSwatchTemplate"], ",", + RowBox[{"Opacity", "[", "0.5`", "]"}], ",", + RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], + "}"}], ",", + RowBox[{"{", + RowBox[{"0.248`", ",", + RowBox[{"Directive", "[", + RowBox[{ + + TemplateBox[<|"color" -> GrayLevel[0]|>, + "GrayLevelColorSwatchTemplate"], ",", + RowBox[{"Opacity", "[", "0.5`", "]"}], ",", + RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], + "}"}], ",", + RowBox[{"{", + RowBox[{"0.31`", ",", + RowBox[{"Directive", "[", + RowBox[{ + + TemplateBox[<|"color" -> GrayLevel[0]|>, + "GrayLevelColorSwatchTemplate"], ",", + RowBox[{"Opacity", "[", "0.5`", "]"}], ",", + RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], + "}"}], ",", + RowBox[{"{", + RowBox[{"0.372`", ",", + RowBox[{"Directive", "[", + RowBox[{ + + TemplateBox[<|"color" -> GrayLevel[0]|>, + "GrayLevelColorSwatchTemplate"], ",", + RowBox[{"Opacity", "[", "0.5`", "]"}], ",", + RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], + "}"}], ",", + RowBox[{"{", + RowBox[{"0.434`", ",", + RowBox[{"Directive", "[", + RowBox[{ + + TemplateBox[<|"color" -> GrayLevel[0]|>, + "GrayLevelColorSwatchTemplate"], ",", + RowBox[{"Opacity", "[", "0.5`", "]"}], ",", + RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], + "}"}], ",", + RowBox[{"{", + RowBox[{"0.496`", ",", + RowBox[{"Directive", "[", + RowBox[{ + + TemplateBox[<|"color" -> GrayLevel[0]|>, + "GrayLevelColorSwatchTemplate"], ",", + RowBox[{"Opacity", "[", "0.5`", "]"}], ",", + RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], + "}"}], ",", + RowBox[{"{", + RowBox[{"0.558`", ",", + RowBox[{"Directive", "[", + RowBox[{ + + TemplateBox[<|"color" -> GrayLevel[0]|>, + "GrayLevelColorSwatchTemplate"], ",", + RowBox[{"Opacity", "[", "0.5`", "]"}], ",", + RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], + "}"}], ",", + RowBox[{"{", + RowBox[{"0.62`", ",", + RowBox[{"Directive", "[", + RowBox[{ + + TemplateBox[<|"color" -> GrayLevel[0]|>, + "GrayLevelColorSwatchTemplate"], ",", + RowBox[{"Opacity", "[", "0.5`", "]"}], ",", + RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], + "}"}], ",", + RowBox[{"{", + RowBox[{"0.6819999999999999`", ",", + RowBox[{"Directive", "[", + RowBox[{ + + TemplateBox[<|"color" -> GrayLevel[0]|>, + "GrayLevelColorSwatchTemplate"], ",", + RowBox[{"Opacity", "[", "0.5`", "]"}], ",", + RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], + "}"}], ",", + RowBox[{"{", + RowBox[{"0.744`", ",", + RowBox[{"Directive", "[", + RowBox[{ + + TemplateBox[<|"color" -> GrayLevel[0]|>, + "GrayLevelColorSwatchTemplate"], ",", + RowBox[{"Opacity", "[", "0.5`", "]"}], ",", + RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], + "}"}], ",", + RowBox[{"{", + RowBox[{"0.806`", ",", + RowBox[{"Directive", "[", + RowBox[{ + + TemplateBox[<|"color" -> GrayLevel[0]|>, + "GrayLevelColorSwatchTemplate"], ",", + RowBox[{"Opacity", "[", "0.5`", "]"}], ",", + RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], + "}"}], ",", + RowBox[{"{", + RowBox[{"0.868`", ",", + RowBox[{"Directive", "[", + RowBox[{ + + TemplateBox[<|"color" -> GrayLevel[0]|>, + "GrayLevelColorSwatchTemplate"], ",", + RowBox[{"Opacity", "[", "0.5`", "]"}], ",", + RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], + "}"}], ",", + RowBox[{"{", + RowBox[{"0.9299999999999999`", ",", + RowBox[{"Directive", "[", + RowBox[{ + + TemplateBox[<|"color" -> GrayLevel[0]|>, + "GrayLevelColorSwatchTemplate"], ",", + RowBox[{"Opacity", "[", "0.5`", "]"}], ",", + RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], + "}"}]}], "}"}], ",", + RowBox[{"LabelStyle", "\[Rule]", + RowBox[{"{", "}"}]}], ",", + RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}], ",", + RowBox[{"LegendMarkerSize", "\[Rule]", "225"}], ",", + RowBox[{"ScalingFunctions", "\[Rule]", + RowBox[{"{", + RowBox[{"Identity", ",", "Identity"}], "}"}]}], ",", + RowBox[{"Charting`AxisLabel", "\[Rule]", "None"}], ",", + RowBox[{"Charting`TickSide", "\[Rule]", "Right"}], ",", + RowBox[{"ColorFunctionScaling", "\[Rule]", "True"}]}], + "]"}]& )]} + }, + AutoDelete->False, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], + "Grid"], + TagBox[GridBox[{ + { + StyleBox["\<\"\[Not](x\[CirclePlus]y)\"\>", + StripOnInput->False, + FontFamily->"Helvetica", + FontSize->16], + StyleBox["\<\"x\[And]y\"\>", + StripOnInput->False, + FontFamily->"Helvetica", + FontSize->16], + StyleBox["\<\"x\[Or]y\"\>", + StripOnInput->False, + FontFamily->"Helvetica", + FontSize->16], + StyleBox["\<\"x\[Implies]y\"\>", + StripOnInput->False, + FontFamily->"Helvetica", + FontSize->16]}, + { + TemplateBox[{ + GraphicsBox[{ + GraphicsComplexBox[CompressedData[" +1:eJytnQWYXsX18IMUh0JxLS7FghSHAUoLpTjBnRYoUtw1uFuQYgkQCgQCIcTD +Qkg2yW48K8nGdsO6S3AKhX7vOzO/Mz3n5m3679d99nnmOXPvHTlzfM7Mu9WF +V5100fK9evX6csNevfJlv21/n/sf5nrFvwAXC7xo1F9y/9PN8wqB/eNFVQIv +DBUC//TP/N9nAj/tv68XeJs82K9R4JH+82aBj/Qdtgm8wLffIfDlfoBdAutx +DnPMB5j56OcVAjMfYOYDzHyAmQ8w8wFmPsDMB5j56HVYYuC0LnZeej7FZj7F +Zj7FZj7FZj7FZj7FZj7FZj7FZj7FjvXQdLTEwImulr4udl4VAjMfYOYDzHyA +mQ8w8wFmPsCsBzDz0XywxMCJL5ZOV8WZeQDr9akw61Nh1qfCrE+FWZ8Ksx4V +hr4qzPpUmPXJ8vXS+aI4sw52HsDMB5j5ADMfYNYDmPkAMx9g5qPl0BIDJ7m0 +dL4uztCRXQc7D2DmA8x6ADMfYOYDzHyAmY+Wo0tcIbm6dLlUnOEDS0d2Hew8 +gFkfYOYHzPyAmR8w8wNmflovLHGF9MTS5Wxxhq8tX1i6svMAZj7AzAeY+QAz +H2Dmo/XaEldIzzEfK1etXLJ8benKroOdBzDzAWY+wMwHmPlovbzEFdLTzMfq +BStXLV9bvrB0ZNfBzgOY+QAzH2Dmo+2KJa6QncF8rF6zctXKJcvXlg8sHdl1 +sPMAZj7AzEfbRUtcITuJ+Vi9ZvWClatWLlk+tnxg6ciug50HMPPRdt0SV8jO +Yz2sXrZ6zeoFK1etHLJ8bPnA0pFdBzsPbZcuMeOzdl5xAbvC6mWr16xesHLU +yiHLx5YPLB3ZdViSmVcY38AC9vdAt7Xvr1Pe03iwz7Ezuk17qR+eBzwVuad8 +fbvAms7T86XTTZH0H9otifhrEVjzeXpu+Yjn9BfGXeau8C82CazxnZ5bucJz ++vOP+82J690gMOtpn1s5y3P6O8r3syCWdQJDL/a51Ts8p7/Qbo3QH7Ctp33q +aZ/nhfotNE79XZ20a/Fk8VIIj/THc/qz62jXrdA60x/P6c/SmaWrQnRIfzyn +P8sHlu7/PZ9Ml+f0Z/nW8um/5+tieU5/8K3lcy0/lhj/o9vIvW5XqH7p47Lz +Tni162bpAjqAnixfWL6zfG3lhpVLNm4RxtMvPu/J1Gv8LJH39HMrL1M97+v2 +l8h4WAdKXT8s81yvY4m8r9e7xPjzRabdYsEX71NSz7rZ59SDf96npF7rz/Sc +etaT9ymphy7sc83XNUZuLTByaFHm+dLlTJ2Rew2G7tJzLUebDN02SL2Wa+m5 +9h9a5H1K6qFr+5x6+Iv3KanXdnB6Tj38yvuU1MM39rnWu93yvtbn3cJn9rm1 +AzSdDytIx5SF6JSyEB1SFqIzykJ0ZOWSpRPKQnRAWWidtR+WXUfKQutEWWgd +tF2OHTdY5BVweD4q4nF8Bg6vT4p4mpqBr/Svz3S+etvyDBz6qXSh2bkZ2E// +n/MiPhdm4IDH6ojHuth/rcBhvNgnDRk4jLMp4rE5A4f1a4l4bM3AoZ82N8K3 +256BQz8d7ne+3a4MHPpJdrTWu6NkPaAjHS+ql/lq/hho4GGyLnr9yky/ZcJX +rBPfaXlbIrDmt0r5Dr6hXWD4jnXkO/iIdoHhQ9aZ77T9XCewltNNZr1bDB5b +jFxuMevfLu0CazncZuihU9oF1nK3Q76D77S9123kbLd8p9cN+igRmP60vTIs +851e7yVGvlYJfrWfkfjLxrW039CQiQuBbx2XaTFxjASDH+ST9uOWGDjNG36y +frG1f209sKb/gYZeBwo96ud1AjNPYG3fDjR+wEAZL3KW/hgn/QHTHzD9AWu/ +pSgjB7R+KzH8VSLtA2s/rUTkGXIderVyp5BcoT8tD+oEpj9g5Ct6Qq9XmfRv +20N+QI/oEbuuGq8LMniyckvT/0LBN89ZX2DGq9vvLkhXdt3tOlk8Wjmp7cIa +Y0/WGHlWI+PT/XUXpHNLh5ZuCq2DtpMXCh5ZHw23yPsan3UGn3UGn1k+tHxi +6drSHXTCuND/Gm6X9xmPbr87E4cppKesnLB8rOm+VejGrqvFWyE9x/gKySX4 +WvP5ggzd2HWxeNF+/mCRc5qvOzN8YunSrrvFu9Wzob8e6Y/1tnLC8qGle0tX +dl0tHoGtHtfyvSdjF6PnqLd2MXqSekrqrR1KO7Rr7VDGE9a9n4EHir0xKtoL +jBtY2y0l0r/m+yaxH8J79WI/aH+pTup5b1S0P+A32qFdza8tRj62Cd40P0w1 +etfOe1gGD5p+Ri0TL1oPdpvvEl9Zvmb+2FPMF/uJdrSfNirjp+lxjJJ5aP0/ +yujtFL+hnnGBZ0rqGR9yEhg5r+eT/DLNZ/VGjyaYdbZ2JDB0zPqzTqw/62Tt +QLuerLum06oMnWo5nuQ249FyNpXWX7f8WEhO6HF2Cz7oX7dv9VGLkaNtZh35 +K5P5azunVy9tlwwzdkevXtouGGb0Pt/XyXOtZ8n7aJDnOm5OHkWLPLd2vuZj +y7fDjF1VbOyYYmMnFBt7vdjoxeIM39EPfMO4NB8tEH9Y23XTjR013dgp001/ +JeKXANP/v1/X4oydGOorzPwrzPwrzP5imfGjymQ81s6zchv4P6Oz4gzebJzA +2t92/ws+xt/kffxNYOYHzPz0+Ja4/xsfFGfW2eLdxjHsPgZyR8cDa0ycoUbm +A6z95RqZjx7vEvd/49viDJ1aurHrDqzxX2fwX2fwX2fwX2fw/5/KkeIMH1m6 +tva4jVvYvA/e13kXDSZvoUHGa/cn7bpZvNi4iM3f+fdysTjjd1q6sHi387J5 +Erq/Je4/lcPIActXli7tulu8FooDIfesHLJ8a+ne0pVdNztvG2cqJIetHLRy +w/KdpWtLNxbvNs4FPfeLdhx2WqgfbOKuRfI8fD/e7PPZPNcSsev4TvtR0+U5 +3+EPa3so+fH4Ido+Sn407Wr/bqrxk4qMPVsifg32n97vIL6e9kNoR9tB4wXW +fNQh49B0OlXGH9qrFDiMZ47MC/0DPiys/faGAnHs9J71j5Y1DtsudEb7Sx9n +k+BJ74+PKog3jZcOaYd29X5mtbyv1zP5IdAX68v8aI/5AVNav8LGp62cs3ax +9Rs0HYyN/Y6Q+TNerR8Tfdh9WL2PQJymJdNOmE9pnPdE4bOl749Nj/XlbrTv +Z1YcZ5nUB/TONXp5bhyPpTP4FnzVGb3Ifgd+aKPA4f2miMcO4T/wCr7n+/e6 +It92mvn3k3EiV1lf5g2s5VaV0AnzCt/PEbsQuoEuwIuON6Q8IBt/1HZst9ln +7Ra6CePoyfAHepN1CeOZYezFtozcYdzwJfMGBi/QJfi2fj3tAOt2KjNyHRi5 +quVbu7xXqB6YdpDT8DvjBWY+Oi44PrPPpfetR2X0BPwTHk+O/LfY2NPVmXqb +D2flB++H+dYaeVOXed+2w3e0Y9+z8l3b06MED3adLd4snnR8bpTQN3Sg8+BS +/A75q+XWVIGRPzbOBl8A026hfpfVD+3QD/IDuYwcQT6j1/iOfoD1+CsFhm6R +z8hR5DR8i3wM79WInAz1i6Sknvf4zvar+Sw7bsal477lMi7Gqcc9wsjXsYI3 +8E0/xOV0HHaBzKPQPreNM9l9bxuXs/vdNg9C5w91iv7Q+UtpH9jSt5aXI2Te +1q6AboH1+qT1o16fU6k3698g87N5IdrfS3qf9dPx+3JZx7DeVaLHkBtWT2u7 +Jultm0di98GhC+hB8+ko0a96X4F4aIXIJ+hYr0OTwDpPqUPwwjg03SR7gfWB +TgM+pok9hPxjfNCR1l/F4h/xfoD7GT3az8TFi8WP0von5T0jv7XdXCOwtus/ +E/6y39m8JW2nzDf0+JnYr9AD9Kj1RH0m707zV8rD0/sXKe9J5203CF2FeTaY +uEKT+HfQP7DNh9F+YjpHwzpq/3S6WbdpcX0nCN1pu6pCYPiJ72y7mr7myHe0 +S4n9Cd3Dn3yn/cpKmRew1qtJr4RxDZNx6fNVi43eSPgP/Sb5w7oxTp2XVSb2 +JXwBDP1ouVabkR86/tFp9Mcc4RsND5P5I0+gN96zdi38q/G2OMM34CmMZ7Hw +B3jQ3yWYefEd7YIHzXe1pt1akQfII53n8Zn5rsG02yD4DO30GHu228j1lIeo ++b1e+E/Ta1HGzqJd5Bl8rvlpoMl3HyzjYh2BoXPWC/5mvXSeQqW0R//Q49L9 +05nCpwH+ROqhH2DmCx3r9/ELS835ggqD/8pMXiX41vkz9UIvzMfSsdYXlZl4 +BevBumt/x65HP4P/gWbc0wUfzB/7xuo94oQaf+WmnWRf4L/b863WPrXnAnmu +46xtJu6Zzjva/UzeA6afMI5uY781iD1GfRjnyzI/5CDvaT3aJnIM+4d+kLes +e3jeKvI6fJdgvg/tJj8k4P8e4xeg19vke8YDzPfgScdrE956mT/Wl/Hb/Evt +t6Z8JR1Xb5P52PxI609SD11qufOWtBPeG1oQT+AZPMG38Iu299tM3H6sjJ/+ +dV5vjbEL0jkZG8+2fgF0tPT3xhr7uDQTf2a82g5I52l0XLFN7F7oAH4K3WTj +c6wz/Eo8ztr12JPwA+0gl3Q8Yo7RQ23GT0rnKyyegG2cx9aDN+uvU6/jVWNN +/KNGSh3HzsZb7Ps2nqLtqrEZ+mZcNo+I0sZvmaf1y6m3/p7NB7F+LXShy45M +v8yD+TFu6+/p78aKntF8N0/aQw/SnvYXkvzTccqWgnyj6aDb8FHiV/Qr/ep9 +yhSXgZ81fQ4290oMFLzY55oP6zL2EHpP28Ulhr6mmjysEpGrOt7aLe1ZP0Wf +9y6T9rX+a5TntM9z1oP2kD+2ffib9pErtA+MPAnfVwk+LN4sXuw8bL/aj2wR +GLoHhl50+92Z/ixe7DyA8TM13C4w/dn7OGzcn3bsPHjOOthzenbf085b8217 +Zpw2r83iie91/He64E37Bz0ZvGr+SPmn4Dngc7LoOR3/nyTyifeA+Z737HlA +7ef1GL3cI/JBx4EmGn03V0pNt/3MPvXLIk/C82FGrrWaeG6LsZMHG/33lpFf +JaI3dN7OQpPPjh5aIPJOyz8bR0x2qI7rtWX21ex5IE3X3Rn7Cxi8sr56XAuN +/Ur8Ke376TyTFrH3bLyVfsJ8psT3JmX6YX34nn55jtxjncPjJKfQY6wb3/Nc +xysHC/3Tnj63P9DYb4OlP+hB21cpfsNz+uM5/UEv9Kv1RZXQFe3rfZBFRg6m +fXTa1/zZkLFP+Z78CNYfutL83p3pX8vdarMvUyd+Ov0Da3lTKXSE3Nb8VCXj +tniwdi3v0w/PGRewzsevEruI58hpYG23Vgk98Bx86u875X3sNp4jp4GhM02n +/TJ0quEiQwejMnSm97FL5H3waelGf18m74NPu87Wb9B0n/wKrY+rRa9qvm6S +51pfV8t66XzrFnmu9W61rJfev2qT51rPVhv7eJGsF89ZL43Pbnkf/tDr0yMw +62n53vKp5RvLJ8DoE73vs8DY7QsF1vsqdYIPnc/QYeyc7oJyxPK19mMbjP9i +7+XIrrO2p5sM32T5Uq9Tlg60f9xixpHOM2k53y8j5/U+eYnh8yQnGS90Z+WC +ppP2DB3adbF45Xutz6tNflJaR/iZddRyIkundt11nlc2j8Weo8KOCHTRY+R1 +qdgn1IfvJko932l7ocnoQfKJ8E+bBA7rVyV6RK9HgmnXthPYMWu3AjMP9GTo +7x5jTw40cYzk32q6KDX7p2le1o/kfcaPHLXzBtb2cNbOZB8ytJfsSS1/U95W +obwu6ETHR+YZvm0TfNl9e52H0GPkOXHKFukPfUOcE/5Cjmq5nOQq7+t8znSe +x+pBTZ+DhY/4ztod4b3p8j1yUccnk99l9WxoN93f+u/t0mFmXuPN82IjR6ca +/TFdYGunMQ4bF9D6qkpgvY9bl5G7ej+4LiPndN53XUaO6f2DuoycsnmVzM/G +RYCZn81/he51HkqDid/a+HiDuZ8j5c9au8TaldYOsfsh9rm1Q2xeobU7iMfb +fRedx5nOqdn7ZbRfPdXkvyc8sv56XolOdLvVpsyew9H03Wbk0LyMHEcuBn4d +YfIOJxm/faLJe50s72s5Ys/1pfwGxqX3Q8aLnGbfkXEF+psgsL7fJ9G3lZ9h +/Ox/t5q8hQoZh44ft5m4RbIX6I9x2DwInTeW8p3Cd+iPBId1qDb45pwD8dgE +h2GUGfrDfoWP6wUO9JDOcZNfEPDFPVAJftJ/l+4PRf7D/9CVjkePFb1k94l5 +Tr1e33KhN+gmtN+voJ1v6Xrpz4sz+3xWbls5Z+U29YwLeQaM/NLjHmbGXWzs +wukZPaX5Y57Qi77nt9rck1tt7pmtNve0JrmlYeRhohvkQKF9TKuXrFy3esnq +Iau3tTytM3C6lwF5BazXa7D4b3p/oUJgvU80QdoP3xVJ+8C0z/dazqd9TuQJ +sKaXInkOzHP8Gs0H3Zn9QT2PJYYuBxbEE/0Vmmfgz2ZZb73f1JSJszMe2gNe ++jkFuw9g+2mW9bL7KsDgBTkNXmyeid330nZOU2bfQd9XkeyMQngHpn1tJ2Xx +AKzps0fkn43LI0/tvq3OVxgr70OP+nzaeOPnfSIw9A6MHMLuQZ/r/CjyATpl +3Oyba7ugVuQd+gdYx9XnG/mx2NhJNWIH2H3SQv3QLv3Qbhh/yisC1v5Z4XHo +fcU0LuiRfQzWqdA62n0V1qnQOtp1K7QuOs5ZKuuk82/qRa8zLvR4+G60ofsR +7kdf3xntt5HmPAL7jC1ib+A/wheB/ltctX8h5evrcx/Yryl/AP0W3qsT+4d6 +HTeplve0/Z7apR/GxTgZF+NkXjrvIM0TvIAn8AKewCt4Bq/gmfXV+qnI+L3s +a70ldovWX/3Mdy9n8mKgE2DohPegE/inUB41/KT3pWpNHlh234x8SezLUDaY +/Jh0342NT+h8qOx72g9sM3EN8rfSPljAW/odIC2/mkx8hX21JsEjeAePwLTD +OiAH7P7c0uM37QLr+GS3zAs9YfdrtTzpkfdZP633qzP2EePXfuBAoXue6/M5 +g409bff7iowdm+wl6FD/zkWR4bNRAkPvtA/e7b4K44SvaUfLn7SvYu0I8M/7 +zCu0U2XWOe1r2nnzPv3z3M4DvWX3EfS5n7SPgN1A+4xX998jsM171nor+dU2 +fw2Y+dp1Aw7gXEPPzRn6tvEea49qusvSmYaLTP5+lk5s3pfdR7T7FXofstuc +o+o2/feYeFJpZt/R7i/YPDytr6vE3tTjy+5T2n0yu8/DuG2emc1Xs/ec2Tx4 +nV+Z3VcAZj76vEqV4FHjI0undh+P+fC+Xue0DoXWRe8TdZu8ih6Tr57uvQ10 +VyF58DaOo+/XS/aijvc3iX6BbkO790i91j/pvi/9vMbIg6SPsCN0fKnByIk0 +76XvgyT9o+nI6gsblxgm60NcQOuHYeb7YvN9sdEn2TgHeNPyd1jmHLV+Xiww +cQNg1l1/n/YttH2ySPrXetHOe7x5Xmzkao3g18ZtNb81GLu3OYNXxmnjOIXi +SjbOQzs27mTjPvq+lRYz7jZjv86TOIOWu0sy+zboZa0nS8Ue433wyvtaT5aa +eExhvWX1EO3b+yV13kdphq/0Oic/Cn5Efug4SsqfCf1UCBzaS/ePaL3ZbPRA +s8gV7E69T1qXgdlf1PsG9pxDuq9EwzWGPisLzlPPw/Zj7YFmY6ekeRWaZ1iv +EQXjEqwDcQb61X7tCHmP8TMuYK2nKmQczE/jbZ60D/503nvyZ7Tf2SDjtvSG +3AjjnRLHUSzjQQ9ZvRTGR3x/ltixOi6exq/jtE2m/3sEL8hH8AJMO3qfY57x +i9N9H+Qz2nwCu37IVS0/03PklT6P/YmJR2T5Wp+zKDVyi36nyf4TcVpg1iPU +Jzh8l/IQoDOdj1Fp/KEKg4fsPpHVi+yrhPGOjnohxSXYpwnzTXEO9ocoqdf2 +RH0mrzaMe7jEK3S+QLq3AfwDh++K5Pswj48k/gEc3p9h+s2eE9Xxvew+F7CO +g48S+tXnElPeoabXGQLDT1bvEZ8I+Od+11KZP/yp6SnB8GdoL8HQEXrQ2qGh +nC7tQ6ehPmu30i/v2/1J3tP4KvTeYLFntR6uF/4A1nKi3uSJ1oufBazjnvWG +X+tlfrZ99A9xfeQY8k2fj63MnFNGb+v4WpGso7bTizIw3+l9yOx3+r6YGqFr +HRe2555q5DttL2a/Qy7ZfH32TfXvUKZzqQHuZ/ZB+gm/af9/kdA98iisR7eJ +P9vfDew2+O0xcqFH5BZyDP0Z+GWeic+n+8IsrO2Wwt/pPB/2YZPcB9Z5K58J +XbEuWp7XCMxz6F6v01zRs7QLHYf2awW2cR7WR58XSueO4VOd7zdYvkce6vPz +k4QfsROIR6K/geE75qHtqrlibwNjL+o4VYs5X9GWiWvqfcbpYhci3+y9E7zH +d9QX+o739P1f2XsvbP6qvjeA/MyFJj6xUOSUPk+V7n0AXvq+dpPBR7PANt6k +/a8u4590mXOZCwT/8IX28xP+0e+0o/2kWoGhT33OJd0PCX1o+zLB9j29f5Z9 +z+4vA+s8gTaxn5iHztNtM/siwwraLcDMF3sIv4T9IHtPEHyEPICP0K+aLtK9 +HeF5gsGvXucOWWf264D1OYYKsWfQ48A6rlps1ndS5l4vvd5Tzb236d5D2rXf +2XZ1vnO2XdpD3vI9+NR56G0G/+leG32+KstHS+erZuEL1hnYvqflRPY9YL2f +k+ikEB2xzprusr+3zTz1PlezwHrfxN7rUWHszHKz/9WUOc8KDN9puzHZedA3 +MPQc+q2S99HH9ncSeN/mWfN9qMfOq8roJeDQT1XGLw31KT8x4JE4RcoL1Xou +nT9iXWlPz3uh+W6RjBu9YfWiloOLjNxL521svFefE2g0eqnefJdgLW8ajd3Q +KrD+neShIldHRTtC2/GjzD0zI4wfOzNz3lXf8z9N5JjW393GDuiW99FP8AFx +UeYZ3utn6L/I+DmfGHk4TPDEvMAH4+B7my/Oc9pBfunvK409nPw6YOZHP8Dw +LfXQub3HCn+I94D5Xsdh55jxVxq7Mfl7mo6mCsw4LN/rc8/pHLU9Fw0d6PPq +6dwz+NR24WBZJ+2HNcn4LGzlmJUrwHofJ9ljPNd2VZPZd0u/+67H22PGk37n +VfNviqfq/UbixK1GD7Ybvk73cunfX033JtGvzp9sMvZf8hf1fV+ce+sQvzOM +b6HYL8A6zyP5j/aeL/za0H696H99L+AE8We1PVBk4nTpfLfN4+A75BPfaT97 +gYyHeLmOOy2QcTJfYG0PpzxpnT/ebuy1dmNnp/Pe2HPhu5RHrX+HM/mx2h5L +fiz8yPyg9zBu/IC5xl9uMHTaIHSq91USf8DnwMgl8lPRB+gx6JJxATMO6B6Y +uDv0qe+l7zB+QOoPfmRcxJvBv8YL/vRnJu9gsckHrxEYPgSmPfQH7UGvOr8w +3T8AzPfQK99D1/oe40nyvX0fP4T39TnVGhP/bDDxiQZDF7XG3kh8rvdx6gXW +fl2iI8aHHNL8l37nUMv3lIcTxpONSwDTPvJT3z+Yfl8PGHxrP/EzWVcdv2sz +8iC9r+9NXSx0qfNBO8x6dsv7Wj7XCMy62t/the/t78RpO2yS8EF4f6LEtbVe +aTbxn2Zzz36Wr/V52SyfI1/BE7CmI+Iii0SO6vN9Sf+j95Hf2KXwjfVfoD8r +t4B1vIE4QqPoa43nHuE/5AfyVed7NIp80/7kAuMPzxf/j36YJ3hiPvp5sTxH +L7KO1If3EqzjWA3CJzrO0mrwkdYdWJ/PSHEW5Ciwtr8rBC9ans8x/D0n856m +97SfCb9b+mV94Fv0CePlfd7jOXpXzyfdA6333RKfQHfII+iS8QHbfpkP+z/4 +s6HdKtHf7FOCf/Cl79dqMvZ+upcD/gTfev+jyPg/aX9BvzfYxJuHGTtshIxD +38ffaORao7Hzypy2b9FTye9m3Ngr6KPwfoJ5rukowcQV4DtrJ+l7apvFzsPP +t/dUI3c1XqYJXqjH7lu6ndctckXb6T3mfvwew9fTBN9anydYn7+ZauhlqtA5 +8svGFXT+QpOxx4iTpHuNtRwnr6HbxCm7zTmCbmMX9YidAYw9bePC9GftDBtv +tPoTPINPbYe3ih+p4x7jBV/IW/S4vlcj3fNaKK6j4+MpzkP/+JHabu6S/jVd +NBn7L8GUmo8mCT/ZuCLyKtBXyvdGzlk7DDqAj9nHoH3WBz7cNupxHX9L95zy +nHbtufzwfIbwD/0wbvhcnyNO+9q8D71pvNSacdaKXNL81SJ2k43zQ0/IU2Dk +rL2nG/8w8F9t5p5u/L3gdyd/T+uPGcK/rIM+31Zm4nMl0g7j03hdZPg62Wca +D+l+f62X0u9gIS9snFjTa4PoU+aNfNN5kilfzbaLXIf/gbV/Os/w4Tyjn+cI +vqAjYOgIOQR96Dza9LsO2u8g3p32c/he59N2iJ4HD/A9cRf4Hr9W7/OlfQKb +z4lcgF61H9Zi5CV8PlbgML9RJs7/llmPMpmf1s/1gj9gje96ed/KUa3HOoVO +wRP8iz6jXWDWEXqCTvU9BW1GnyW/k3rsFd1f2o+HjvT+fIXYD6GdChPPbpf5 +YBfovPhukXPof/27y42m/Uaj52qlHeCAD+LVk0Ue8B3ygH513me6n1bn+zdl +6EyfI2gS+4n1IT4PXQR8pfg8+kfrtzlmneZm7FzLt8CsD+2DD02HtWI/ar0w +R2C9/oletZ89w/jZleKvQQehfqLxgyYJf+h9pnqzj5jkJfLB8omms8Q3yEMt +L5N80ufAa43f0WHOQXeYOH2l8DN4Rz/oePQMGRd8WshOZV10/Njuj3fIvPXv +oXTKOrGuwKyjPg/RIviFXu0+lf59qhlGj6dxMU6tx9O4bF5OGF86DwF/2HsV +7DkDnU+f7qHppf7GC/3ZcwiU0B9faH6ZLvQEHsM8qzL7ynYetA+MfaPnuURg +HS/7TEotvxIeGAdywOIFOaz38VuNXZ/OJTBfbeeXZ+4RAsa/03l1xRl72p7r +ANbtpt/rsOcKGae2x5cYezH5kdCVLnuMnIXuyLv9WPJmQz81sm8R1ied20WO +BDwy/3bZl8BepV+9XztQxqHLdA9b+O5lM+6B5lxKqehzLe9S3qe2a5Ldb3// +T+ffpX0pHY+uM+2m+N7S4+bpHIbelx6f+T0C/GRg9D3rhB4HD3qde+Q55dLx +Psw8t78TUyzjYpxLt/ObCs5T669FghedZ2jXZZKxVz8Te4uSen3fYCqph27C +fO6Rknr7HngP8x0q8jnw3QSJY4f5pnsGQ7vTTByQcxRNRt8gpxYaffGZlNRT +9ov6l1I/Xyjt0g/9Mg7GhZ+q9/2nyTyYF/Nk3uABvIAni0dK5DL4Rj7B3/b9 +pcuhgYa+0+8OQY86PrVAShtn1/5Ouj/G7mPofcOUn0W9lfPgK4xvopTU2zxU +/Xto9neTZkip6+eIPqWknvUNdJDyP6gP80Xvpv1b+BK6Ce2lfFQt15uMXZ/y +EiipR37o/LpkL1JSj/xBLun7ClK+quXL8N1bUlJPGeYxQuhX/57UJ1JPybqF +76bE9UtxYNYltA9/zRX+0/kACwx/p7xg9pGCHkl2O34RJfX6/EIqqae0+2z4 +j5TUUy49XoBfWSP0A4ydzDpj3+rzwdnfCdJ+3gyBLd3bemDKQr/bpO9tzd7j +quOCI4S+dVxrqsg/3tP4GJuB7T230DHt6HbTPTD0a/MatZ0ywuRx4pel+xyx +d1hPbc+2C8z35C9SUm/zoKF/vf9UKvWa3+sMvoeJnA98lbVTGTf0Ar3Tnt5f +q5N5wzeU1NOe/n2ZdhkvJfWUgf/apKRex13Sfo3ex0znYJG3rB/j0nL3o4Ln +3ML8uccMv60innuZLXYVej30m71nEbjQvYrA8DPtaXutTvoP5QyBw3qmew50 +XnCFnNOhpJ75hnUaLSX1+l6IT4y9XyTnCnkffyTgvVpK6pmHthPt73XXyfuF +3tP0l74rNE7NBx/JuOFD9Asw9gEwegYYutbfTxd7xd6L+t+2yzihT+qha91O +heAbOmSduc+K9/V+f/Z38ZYlt2y+Fu+DB+ZPv/ARJfXsG1s+Aw7yocrIxzoj +j1K8RudzVMj4tF5K66735VpMO2k9oCPGDV71+fBUUs/6wd+U1Nt95zDu9Dsh +0IvNa0U+aLnTJPoA/17rk5Q3r7+bJ3gGX9AtJfWsV2iHfKNEb8hN5BzfB/k0 +QfQJ9gol9Ywj4L1R+Bn841dYe5F6nf9ZY/IYUqnzAkviurRLCf50nAS9NV/s +Aux14is6T65B5qHx2yB2aKifIXIA/gHW8iHt/2NvBXtsnMSDKKkP60B8LsWJ +qA/rOE3sae41wP7VdnODjEfn06X9PruPGNonbl8r/Kfjy1Vit1NSzzhCO/Nl +vGGcKd5MPwHftXE+qaRe77uluFeQZ6mkXvvF95h97RGZddPyf6b4F/ocYrJv +2X/T+fbNJp8lyU19T3P6XVLtp6dzB8gp8MZznU9bLvI7vPeWxA2gJ/Sm/R1h ++Bd/RPslcw2dz5eSeugRPc46IUc1fTUYe7TJ+LVN4newT6r3S1uFn3UcNMll +HdfrET1APIBS+z9jTZ54q+AJezjgb76sF/Sky35Cbzb+EtYjxWH4jnreC+s3 +yvhTI6Qe+aztvPliD+v70hZJqe85qzZ2RorD2HOclHofN9n1yJ0wTvyauSIH +0FPIW+q13zRXnsNP7Ithf+t7NNI918gX1knvU9hzrk3yXqDPJuOvpzwf9qGw +79H31Nv7lkYpe4V5VZp5zzH2TfodHO1PpvGE+XUIvgO9DJf1D+8tkvUEX+hz +fc9IvcwH/a7tmC6Tn5H4BZiS97Q8LNwv44LPdP5XdhyMU8vpYUL/Fg/A0Ls+ +z1edwROwpvtU6v31xB+2PrSXfveRMox7ktiBrCfyi/VEL2CXIe91/m2Z8Q/s +7wakOCR0jz2p77O2/nPy9y0cvkMeJ/rTfnfK+2Ke2NfheZmU1LNerDN4Yn7g +T/sfKc6n451tou8ZH/oAOLRP/le9seNSnCbUcw95mi94Rs7ZewWgb/LK4Bf0 +h76vcKaMA32IvR/mXyLri58PvqB78GjvaeY76Bu65z39XZKr8B38Bv6ha9aH +etaZ5zZOD33beQFDh/a+eeqhQ+gUOmH+4FvrsQqhnyAHKqWeddX8kt7TfJXe +4zvs4m2N/aPz49L9HexjaPuhVfhAn79IdK3v5SBums5l6DzGRH/QncZLNr6v +453p3gd7jl7nBSa7FTtW39fRLOun9+GIU6b9goDvwSKng/74UOgr1E8Ue0Pf +p8g9IW1iL4Tv2JeZL3YQJfXwbYCnib2An2T3RWhXx+PnipylpD70d4+xC4eJ +3tJ56sXmXqSJQg86br1Q1pvnrDd40ee7e8TuRF9Aj9Ad8U7kGnhlHshB5H+Q +O41RPrRn5H/ot1LWE/4EDsMeJfRs9bC+ZzjZCfp32LtErjEP3uM73rO/R884 +dD+LJA7AfGgXvmdd7D1c+pxL+l0n5Ig+T1QhfKPlPHZqt4wbmLxjSp5D96wX +fIg8B9ZxwbQPi30Ln+l8z+QXIceQW/r3PMpEjmm5VS94RQ6BP+gdvgrvp/sE +9Lm5GRm/Gz8sjG+G4CHIjXIZZ6DTrP7U8fNyt53/MP2ukdYnSZ9SKr/orojn +fVpEv2Lvon+xB9HX6vzF1BgX/UXK+6X9IA+SnNX7lc0F8951fykPBBh6Q1+z +LvoczURjb8yO7bIfhf4fE/E7SvCg8DIq7g90kccY8fw36HF06PesdN5D7/+Q +D5A95wafQe/gk3HQjs4raCvYrs4PSnEvTc8LjN5dKHCgm3QvJXQXnqd7KKFL +1pfxA2t/L403jCPd08J4db5A2j8ARk7p/fH6jF9Bfzr/ok34H1ivU7rPQp8b +q5D2kXu8z3iQGzz/uOTbtzctHSp2wkODb31sn/u73IAIv33Dlptv+dAEkR+/ +fHSbcTcc3OFejDD1d1Res/JOq010Z64zZPYvv2h1DVGuTO3808E/DGp2z8f+ +GcfsvW6a/tY7Fe6mc9+/o+PWqojvKvfAYT+svMqFjZHPqtzwSG9r3F4zI//+ +pS+ucXvRxvVucdTDDw+6fPIdr6Y8yf2Pe2iDf66xyD0T9TX1H+189OaH9a51 +X2w27IaGjeoz+nzko1td3/eWVN97l9ohF+XgLWaOOG1gK/It3c876YSdDnuk +ONnNxRFe/+IjXtplMHkMOf2z+O/jHh5EvDndc3rqDddWDlm9xT168cKdT/yK +805trnXLq947864Jkf/JB5vutlpr6EvVp7S5LSL+sVsO2/y5kqdGDo18wL0h +xe6v9aO/+7Z/yqfcaeXlHt2spUve2xG4uPnVfft3udKzp2yz0u0fuur+/ddc +t0+He3f8Kmc9Vz/BPbf6LZP67l7vmu+b6a46YJGrj+VfY32/I4uHl75T5dYd +9bNtbryl0b34xaBvqtevcEV9Vm+bOqHZtZ606992WHm6O+aWPrd1r9bmpj17 +5MiWIa+5s0YcfdUFDW+4gfvOazlu74/devusOHuLtz+SkvqNdlv7k7GHlLqT +3n9r6FY3l0hJfd+nP37qxN7t7sqt3vH1o4bP/PvwV2a77bbfeIW39ihznVdc +99MuLS1uXKz/59a3bPXG+Tl78qrBO/RMnOOu9vNvcrts+MVDy503x/1lzMHH +7HdqTt5csfrvOr+Y7/ofWH713a01bv/bXrns1/enkvob39mg4pl7a+L86twF +xR8efdHBda73hX898tPV69wx59/3/tGfz3efebw2uCnb1C1oyJWdv/+++uEH +Gtzazzy2XOVGra49jnPFmuPfqBla4jY96pqnqrdpd4P6VD3z7QXt7savivw8 +Kalfqafzihde+8jt2Lv41Ddv7nQH3vLL7Tcb3OlW3Ti/Hp3uvQcG37fO1zl9 +79cj3ZPXJ9LNLM+f3ZGfB4pdMGfn4q///psBQmdfRrrcd8qmg6vO63Rdvp5z +s03u2CPf3ONPu84R/lltZN/W8lUWuep5W169YL8GN6zXctecstMCd66XD7Xu +Kv9djZTUb9n3hI+u2nWO2Ev0Q7+Mk3EzTsY9/5mvxq675mfuKU+XiyO+eyK+ +e9ziBxZNvO+Pz7lH7vvLhIfOecJ1x/rGWD+l15/HHPpVu7v2uUm/eu7rSa7v +lb+5asjsNvf84lOPX/zgVLfPP/Pr2uSOGdk/Rwdz3Ua9H8+tX6P79fmb5Oht +vuv269jgahY0/+OMWfPcLzxf1Lp9qrfIrUutG3P0hc9Nu3Whm+b7qXdX/rT7 +k3duuNC9tfC4kS8V5/hpubIcXc11Z2+Xp6MmV7RD23U7bDIrft8q42BcjJNx +Bzuixx176UYrlJ/0kNv68KP+PjVXUn979xETfzZwtOvuvObdueuNkpL6K2N7 +i/5x3hY/7pZK6pereWDx2a9WujFP9Zm/9kGVrnec98xXm/x8Kak/5Z33cnxW +7b5ovSnHd6mkfkrEw8A4f0rqz4x4AO+U1H/VnF+/Flf8QG1unVNJ/QmDd7pi +lQFt7u7Vj/D4CvKgw63j+a7TDRw9N8dH3e5OL0dSSf3vj9lzpWP+ON5dccnL +X16y/6euubzn8N9NmOLeO+kMvw63fXFITl6Uuw32XC0nL8qkpP5VLyfmuoO8 +3Mj5dXG9R0U6uN+Pq8718eNMJfXQV/Psaz1dUVJ/hx9vcxxvsyuJdBDw2O7O +8/Koy+3m5VEqqb8y2h9/bPih8vE/TnGPe32azglSz3trbvhQbv3nuXdPPTm3 +/qmk/sLxe+fwNcW94qbn5G2plNQHudXobvJyLJXUh3m1u4vj+2G+bW7DWD84 +vrdW7C/gtzziN5XUr7XuE6f8qmOsu3udooO+P2eMlNRPfbi9clxPp5tx6wHP +ntDrI3erX7eauI7VUlL/paerOndHhL+/d+u9zjiVfME698H2vQfUfcXvtHZG +fdDidvd4TyX1/d92A/deM93fG+J+jW43b380ynuvxfnQ/wRP56mkfmb//Pp3 +ulcOzq9/KqnHDr6/7o3Hfzgk/W7i594uanevrPzXzQ7rnX73HP+szylX/Onh +nHzATm5+seiiyj4t4vfPqvzliS/l+r953Io5u6Mu+lvp97HffuTxXU7M9X+S +t3vS7wc/8PpJ96x3f7n4kfiJe8x4aO8zTk33lr/z7jMv35hbNz2Ose6d2O74 ++N5HO865r3Jepxu24S4zXp802v34Ze3Xm6+a8hiJP5x/+vhzpufWdfV7v/n5 +2pPYd6uRev072zXyHvPcLj4nb2at+PzWOH+++1NsDzzxHe3wHe2Mi/MEb8yL +eTIv5vm7c2o/veHg9HuBrM+Uq2/YM4+//kdOvji/TuD16PjeQR9Ujct/t2fE +M989FNeDfRXGyfhZV9aZddW/S5fWOfQ71z3u7dxGobcVNznx2vc2K3GHvPTF +xu7ddrdTjId8GekwrHv6/YDHI73uGN/7/rCnX9xlcE7ORf55OvLNI/E9vhsQ +6Rm6/+b2VZf0HDjP7MOUuN0f23ena3Ny6ov4HDsfvoRP4RPmQT/wDe3eF/0Y ++Bi+7h1h2mXczGPvQ8458aUBiS8Dn6U4GnGMXz1w9Kon5fS2nM/rvU3Fn84Y +6Q7069oV8TQi+hEtbg1PZ2VxPVsiHZZFek30g//6R0+3Ze6+GR9MvKuVcz8p +zrLaK189+/0Fia6HXvzazb12r3b37vfbS/5ZVuderP/DXd98v8h94F49d3au +vnbos3v2z/lt7fv/qaNkj/Tdia01P+z+0yI3ZPpTt5bnvqubud+eF5+X+jnV +2wll7kGvD1siP6V4y8/jvKBX5jU7zrP/0F03+nD6cFfq7cAu9/XUH3rXnT7S +feHlZZebH/EGHneKeDso4nGXiOd5Ee/w0eD2xrfO2TD9HnHLLSO/eT+nTw6a +Xb3ry299JPKGet6jnvcui/bvbp4Pa9z9nv/S/ffU8x71vHd1jH8cXbLLk0Xn +J7oMdNce6TDl8xKPKl5SXpLX8xuWvLze/rOS/qFex63Se7Oum1KVtwd0vnep +u3mLs69dMWcXBT5I+/xPRPpe4vkm1fMe9bxHPGS1hmMf2Syn98//7s8N42an ++NPJ0W+29woH+dgspY4j5uykGGfYyPvn6Z7LidFv13GeRlfu4xNVbm/vTzW6 ++TO/zvkV8+Q72jn8pUs/OKI8xfGCPUAeXvp96Nlfbjf+056P3a0DfnqoIufX +kmfHug7y9LTYnbT+pmcMbE15uof+fLf97zk/3Q+0baTvNTx+iCPNdwf59+a7 +Zs9fdl9sqhs/tG/R801T3eOfPTlt4r3pnMfwD6444aUH2tyxaj0bIt4b4jrY +PLwWt9mJ8x754ZDZ7rLNj8rRV2ukw3Q/SKcfR5nE817w8YgGd+Npzx6QH2cY +d6N75fGvZu3eO91fQV75wCUr/vPMHL1VPnhH34qNkrwszjlp03LreN6k3XJ2 +dFWUj+lc9IKon4IcrHPj/fqm88bopw38+qXz+6wb63+qX4e5OdWUX5eqTF76 +KfF5sA/nuFu8PZjOVff2fDvX3ef5NOVlgseOuE7HRbyf9JfBm/fNrUN/b6/V +ulneXkvnqN/1dF3r+nj6T+esQzygM9rPaZ6B7zujHEjnrhkX42RcjJN+6Jd+ +6Jd27Tlz+gn0Ptg9dO3aQ6dcM0TySDuG7HjDihPGu/0iv2wb9fi9uzzxXdXX +M2SfAfzOivx37AnPfHDRLc2uxrfLfb6L3U6Tr/q850DODS52l3o6rHW7xvqg +B2qlftsIl8V2Wef3ohzXedmtrub66hzdtLoVLhmzysyOaW7S9Y91Tbk23fN3 +9YvbzRmyeofrivMK9NvhfjNnZP242ek883sRD0H/d7uq7366vmGjdP5raIzP +XBrjYZTUd7z8xIFHnfhC5rww9QujX7/SKwE+fPBXG+xzSJubv8mQX/xuTvq9 +iD5rLb/B/rMqBW8jDN7AI3FS4qbgEbxua/AKnTTv+YdBeflV5/GW2qOkflzb +mHvXu39BtEsaYpx2obvG47NB7MWfjbsyZ7c2uRUj/YRxdbr2SF/HeLrolnmD +B+IcIU6dSupZhw/jutAO7bJuX8R13SbSefF6n07Oy2/Gwbjwi/c97NhxeflK +POyl17Y/b3pOLjAP5jUq7gOs5uPZC13vPz/5h2mXN7iWvlf987yHF7jlVjl5 +10dyeHg24iXgf45759fTntixpck9XXTONxNnVLqXz/nLL6fn1hW7+ZpIjx+f +s/bzC57pceP/dlvD5Dl35Oz72Zc8N6vHtT5ecs/IPz9w4GZPN9SMHNrjGs79 ++Ml9V73GHXNB7QvLVd7qvi07rvjOH3rcXZvPenPk8/e6w9e+ZrnNGnrcoCH/ +qDn9xyfdU/cdc/AHH/a4lR/c8+URA3piPL+fO6S24+J9jn0zc251tx+mrfTm +pYOkpB45gFyAHtAT7O9s5uPuC6Skfgcft+b8dTrXOtfzVSqph4/h67F+/dJ5 +V+r/HPUYJfXwOXw/5aLnTyjabUak33S+FTm2ftSL7Avy/PRHPqv/7KZZ7oTI +h4uiPBvy+Y9tJXvMkTwH6nmPfcNAxw1xPA1mf6zJfej1eJNbIdKbnGuI+wDz +Yxz3JyOnRsS46Xfen+oWfpC8lUcb73/sng/dtp+8P+Djnw93o3zcb5H7Z3U+ +DrgoxuPaYjyuzfWNdqCcL4zfhXhl+p07/V6L2DnYNdjxy184/uYDcv7Ba3/7 +/jeP7FHvNol2KH7T5tsf/OuZc4dHPHSJvYOdemvsJ6zHFLdKtCsvi3zLeLAz +sZv1Pmayo4M9kerRo9gJ2A3osVBWuD6+PvkN+BEhrtvpbjy+wu93XHdW+V0b +zu9092zdd60Np38U48B17hkfF07ntB6K9j8l9XxHOyEe2Ow+8vHGpOeGxHHc +u+YEv3/THO1bkefRrjoo2lH2fBB2FXaU2FU+TpfzR/teusYLJWPcQd5+rnMd +vv0aKannPb4Dr+B5bR/nK3fvevumxZ3Z+sFOd35f4hb3O+7y+X9pd7XNx0xc +5450vueq6A9NjN+f4u2W7Pke6g/a9cHlDzq51P3WtfS59rR21x7xcHC0+7FD ++O5r7zc2xnjgPHfYTQPrli8vdRf6OF271PPerGj34wdg9+MHXLDRVSc17vdp +5vwN9e9Ev4DzN/gFfaKfEMaXPY9D/YHRL8C+xi/ATwjxgGTfY/fjB1CPH3Ds +4BM2HHBfg1u7fGrvf5yxwG27wmu5+efsjMsOnHvZatOdu+Xg1Z76fpq76jcH +/nXkIdPchOh3wJfbHbnqvIvcNHfsjstdOfD2qa740Bde/GTfae7eRY/88sM3 +0vmXG5YbNbPPl4y7IcqH+W7NOA7mgX0a/LF0Hibs83ZKPe9Rz3uHPlj7VFdN +Tu+N3fTBhyrudXd+edsue72a4gDMg3mhT/B3QrsL3Zc+brTIXTp37yvK96p3 +u379y+9av0/nUYK/m86jBPpudi97e7/Zzegf+JT4zo0+LtPlnv6o54mfGq5w +j5b+eac3c/p349O3PGO5M18/8Iax5bstOOlmd1/LzDWKyi50j+/1yZybN7/b +Hfz6FSt3t/Z1281qPPTRox+TPLQL/br2RPnakzkPUebpoEe+ox3q7XmI4hg3 +2SjGR7aN+JoQ60fG96jnPeKqzTEOFOgznY9oivVbq3jTInkvxB1Tvt10P74k +z6nnvUC32XMKgc5TPe9Rz3uNMf5mzxkcEOND1PMe9bxHXI342wUxfoUf3xL9 +ZPHr43t8Rz3fQUeMDzqhvwcuWO6mXacPl31/8N97jYXu0LWHxzhOyscHvyHu +syjiIeXT3xzjgzbPnjgiMN/xHt/Z90K3Je6g4+864tJNSlzr339R+9lN3Mc5 +WcqvPj7zh6qvJ4mf1ifK6w1j3IX6W31cJ+XthvnWx3yMene/19spPzfEeWfH +92dJGcYzK/q/KR+ccTJuxse4GSf1vz5t/58efKLdXXh456kbP1bitvz71n/d +6ON2d8sKVxy8zpTJkidizwEwL+ZJ/UFRD622ccivOD/qmSOj3iGPBjsjfFfh +bvF4qYhyKeVfh/hJRYyfpPd5j++oD3SX4kmU1JNfdHDEa4hvt7qPI16Ri6wP +JetGno3N42fdWEfqA/2nfOpVPd11Rf5P+dWBj1N+NXoOuWvzq4N9l0rqAz/z ++2lN7quDxjSukrOHbT71xg88uU/3D++5U+ZOPbZot2z+dLCjUr502E+aE/sj +/7Rb6nkPuY6ch4/h6xYvdzpiPtREsTM1PVTJvgZ8Dt//pe21N+YesMit98RZ +5YNy+GXfAvpk3Da/GT1ycLTb7bkk5NoFcZ/5oZhfwL78HXF//IG4z31azAeg +pJ59dL6jHdptcl+XXrFqjr7PrV48Jefv3XXaJbPaZ1e4y7+fs8sbU5vdrs/2 +tHy/faVrbrvqsQNfTPm/wb5tcBtFPnrxm/1y9kupK/L72eXuhw2C3fnss8E+ +vfzy57+8ZP/R7h4fb2txA6M9il2KnUo979Eu/Uz2/FftZnt9X+davb1Z7g7x +fN7ijjh7y1uvu2OUe8e30yV0F+Rpyh8+N9IZcVj8KOwS4rLLx3UJfJP4FL6F +T+Hbm/749s8+XLjQtW377KHrTUz5wxe8sM6lw94rFjqd4Pmo290X/d5to7+8 +vS9nRPu6zQ26pPv5Y09O+cPXeblT7oZ7PJS7kjwerm9xb+XtoMNb3LT8fvac +ZteeX++VWmKcNO33zDngqbXWnjQ/jivd4/k77882xPh/u/DDgz5Po9StUpHP +28jJ7z/k88rGuCO3zueZjZJ+GUevzfLrWO22Oy2H/7o6t+NF+TyWHD/tmfNP +XmhxW7w5LOfPjna35+nz+C63x6h5d867ZaE7/Lhd7nhb8lEXuMFRj9xy0C4T +X8rh6aG1Tz3t66LXpKT+eZ9Hl+P/Ha746ZbKd9wKLbvveXZzh9t6v7uertvz +U7e9z+tqdXfedOM+x5wwM+bjNcc8vEo31ud11buXfd7dQreDf7/WjT/wwE23 +H7TY3XZl65dz96t0Nxxw1ifH9m6WdqWf2C/jWGu1x4aestMTrtbnq/VISf2w +mCd4VcwbxI6o+d2v/rnDxun3SbqvefiC397fFfOE5rm7fJ5Koxvj8/BKY55U +m+StkceGf0keBXl15Nnhn5J3sZ3P06uOeV51bo8nXrhx+PNj3PhDr16j18ed +bkzMQ+wf8xLZN9oy5nUe7fO4ymMco0W+o52Qf9LpDrsr8D/90O+aXi/XRT+6 +Wkrq+Y526Id+w7zmumP9PJsEL+Dp100ndo3deZL7yM+jPebblLtbonxBvpM3 ++/zC48ce/02Ju/nU0pU2+kV7wntch/E+X6TRber3LapiPkq7uz3KqZtj2TvW +vxbzQBfHvFDyh1btCnljE2O+1YYx7+mUVytuvK2zzh3y7ZPHHzNpkeQzfR3z +vsaeuNLWDdMWub6jrvhoSWuq571e2+TzM8vcWUf9Kge3uE1iuxNiP/TLOJgH +8+od8zivjHmdOz153yVPnjzZrePz8Nrd4SMmnzTgqBLX8bNnbzj/sHb3+2ev +rB1xYs7P3fHgojW+me9Wj3bWAzEucmvcN9w26sO/+PytKvc3n1/VKPm2W8W8 +3B1jHG94jMcdHfNev4p5sOS9f7/yby8e9t40d6afZ5tb5Xdf+Lwy5g0egh3T +InJ8e5/XOt/9wuevNbqdb7ph9JTLG9x5z7164yZTkr9c2rjBha+9Os+NjOMg +vsi4mUewdxslPn227z/n//s82fnRb0xy9uzdGtdZYdwUd63Hb5v77dfb3371 +xKnuhSev//LEc9skLkqcNOQXpN8TRS4hp4hL9lP5ygPd1PJjbtvukQFSUh/i +nz2SB7pjjAczP/YtyAtnXwK5MSDG5YmbEtcnzn9kjGePinHRF02/V8aSuCkl +9TvEvOpXoxykHdp9Ns7zhUg3y/t4bZuri3gL+1317rMoV++OefULI57IayXP +lbxW8lzJayXPlTzGLVr3yZlQ70ne4wkxr/FvMW+wV8zrJO+UPNSpMQ+TvNWQ +b10b5cln8ftat7z//jO3X8xzXRTHRz3v8R3t8B7fvRHfuzM+p6SePFryap+8 +dPmB6w6odLvf8d26L+fsdubFPJk3eCDPl7zfbT9qv+2lVR91h26w//WnTupx +o1YJ5eNPtfp66E7vcxTLuQj2LdjHYF+CfQry+snzx05jH4L8avL6R8d83229 +3JoppdRHOmffgDxc8nKZN3muy8f5j7j/b8UP1L4jJfXktZLnetT8DR6b3zTB +VV992wtX5+w94nrE+chbJY+VvFPyUMlTXtuvTyqpJy+VPNWQl9MR6bgjysMu +d2fcL6DcM+4jBDqqj/Nd5P4Q44prxLg+JfV3HLx8r6Ez+d3hesmXGBDzT8gj +Ja+UvFPyUMM+fFvMo0x5qOSlsi8U4uDt7uTHN63644ROVx/jvS0xjn5ljN8S +xyeuTz3v3WHyTNkXYJ+AdumHvFXyWE+K+THPRv+PvFHySMEzeA944N6M0XL+ +/Mp75r710mNjJb5FXmLwx8kLqJbz6yGvrkbiaeQ9Uq/vn6iRPEn60ffHjZW8 +zbDfk+49A8/2vp2WmI/6tvc30v1ev4/7YOzPUFLPvTVne39qiugp9NbDfn8l +3UfJOSXOLbFvwj4K7/EdfvTfo//Nuftf3TZt3d36tLszY7+/i+MI61AqeYsd +cb1aIj8ujmV3rCcvjjw58mTIM4SP4evAT03umHj+5fhY3hHrS2J+TaD7Rtmn +XWPikZt+e8c4ubdoQMtT729aOkbqeY/n9/s4ZJGb/sZn9z92z1h3hvebiuQ7 +3iMPIeCTewlrYr5ljdTzHs838HRR4wZ5e7jGreH5OH0n9yO+3JGTmyXxXEy7 +OyCWq2wc7EFK6jlPvbvPk0n3UYR9mPnuQJ9fPs8N8HyVfY/z2oO8XdUQ43WN +0V5tjHEHe69nQ/Tv0705vBf4rC3GBdujXGqJ8qc5+vXZ+wCpZx1Z10XRzvjD +74evucu702Tfln3cX/v4wzj39pnHXvCbJR9LSf0E385id67341NJ/YrXDyou +fW2am7P1Rz+usHiqO9nb9Q3xPEODuzyer1oSzz+NumTJuJ+apkreX/1BB31x ++ys5vPV95qynt18Q5U3K3wnzSvedkQdGXtgDsZ/AD/PdCm9d9uSL/aa5fzTu +PbPt4XS/Ge2SZ0XeFe3SD3lV5Fmxn7JC88YbHTPyZsEjeEXfl0f7N9BjircT +5/xm69dWfnjGIneet6/TurGurPMMH7dM8c2vt/p40jcrHu4OcbP+cca0Hjfm +lF/kVNcb7vIv78q5hK/JuTbOuXGOjXNtnEvjnBrn0DiXhnw43evhVFLPOTXO +rXHOjHNnr3n93u0me/3eLXqfc0xblgy8488PX+e+ef6ox5csud8d1vnjoIMO +ekjymu72/fREP6QnyuGe6Ff0yHe0w3e0w3e0w3e0wz4R+0YPrVr6q+e+nuJy +RvMWP+6WzvVwzodzO5zjafLrUxf3q+uj39nlPo/5xAHvZe73fh1SXJQ4KevP +OVTaoV3WmXWnXfrpiPnL50zZ0ec17+bPWVW7Gf7c1aK4Ti3Rjkr3JOFHUlLP +e3w3xq9TSbQ7J7sBUZ8GNE8Sf5H8EvzJcF4r7VOwbxHOhy6Mdj522MK4P70w +7s+me1SCn14f6abe3ez5rj7GQ+vdZf6c5yz309g1Pxmbj3vGknrw/YA/BzA7 +7tOk+36CvGuI8i6V1DOOIG8bxB64L+rziTHOwP5+yDNN9+P0ifocPc9+DXGW +Ji/X2zP3Mwd9wX1i5W6jaPd86fcbxsZ5jYl0k+4PIo9i9Rhvwj7D3qIMcf06 +t17Ms6iL8aiXo/33j2h/UZ7j6YTfgS13A7wcK4/nvMolDsU4GfcBMd5VEvM6 +VvP2Ab/7PVrmwbzuj/Gy1pgXcrPX9+k+PMovox0JzHt8Rzv2vVNKrumXj5P1 +Ht4yJz/efhFvq1720C/+1a4Er+ALPIJX8AweeQ98gUfwCp7BI+/BV8Jnka/g +s29LSwesfG3OLnnmD09OuG6yO2TTXV/5+Rvtbvva2vvq9i1xv3/rxoY5N2fv +e3r8vH1fWOG0yXE/ot1tEs9Ht0Z6s/ebQ6fwLXwMX2s+nxf3pXJ2b8xvWT/G +3eAL3oOeoXPoHj6AznkPPoKvbo52N/xECZ+Rl7Uf53WifORcR5AXXW6st1tG +RHx0uYPjvsru3i5O91et4de3JdJPmezDsC8T8ojS/bxDflz11OZNcvLpkEF/ +PmHnarfWdnuvvO+ndW6TnZ/72VlbVbvrLvv1HSf11LmmkX/9/Om7q93rN989 +uO/q6X6sC7y9Uu0GeHujTur3Hr7yMTuuUR/jjmUyLvqdFMfxQZwX87wyzmOP +OK8gZyvd017upnu1Av+mknp5L37HvjD7xGVer5S7vbyeqXAT/f5huu8cux47 +H7sf+x67HDsdux37POi39qjfUkl92H9tj3HCVN7k6aRd4i+BPueLXY6djt2O +fc57+h6xKa6/57+pYgdgFwz+1T7DjihPvwcQ4lGt7uaob0L8o9Wt9lHQQ+yz +Ea8lj7Qn6qEQP2iN58XLkl6MehI7EbsRPYneXM3jc5F72+NzkehJ9Cb6C72K +3kSPhrhQV7TfUp5nkH/d4ofgl+C34Mfg1+CnEBchThL883Qf6d5+fM0xDpTu +xeCejJBvmfJ1yYMiLwq7GDuZdmiX72gn7CM0xn0F/IHGuK9cFeND9v7oxhiv +qHLt3h7O+cHeHk4l9cjH4J81uYWz9mmZfe0Q98wLf8rpu6FSUs9+WPB7h7ri +3ov/ls87D/gd7E7z/DPcTfP882GMt0102/h4WyqpFzvM0+XEOA7yCtpi3Kgt +7pe0uXYvFz+J9mKRlNSHfIKizH3XIV9rXDzHvzie66+RkvoJXh6ke7ApQ77W +4pgnkvKbT4l+2RK/PqmkPsid+VEOpZL6kN+Qft+HMvDJfPE78UNnef9/mltl +03tyeneqlNR/4fN30u/fXBHLkim77HvtLdPEb8WPDXTZEOk0ldQHuzH93s2I +WAa+aHC7XnrXyW/knvf96L5rrszJp08HHlx6VI6v3tx1uTPGtqb4wV7rH/f0 +Xbl5N/9y442Kc3rx8ii/Ar93x/h3KqmHn4Oe6477hHVRD6aS+hAnSvfsn+Tn +2enu9fNOJfUh36Yz+imdkR7muj08PVRJSX04l2bvIZ8jdMG5Kc5Rre7l29yo +L+bGfLV07x9lkI9zozyti35zbYybkb9XK2Xwe2ojf3TGeyI6o7zrjHollft7 +vdMp/TEOxsU4GQfv0R/jYFyMk3HwHv0xDsbFOBkH75H3uWnMA0W+kPcX/JkO +93yUF+yvbfibN1fM7yOht8O6VMQ4SYX7yvNhKqnH7sO+w+7DDkRfkVc4/ux9 +Dj590EK3zt2NR+5+a32cR32UR6mkHvsOuw95jRynpB45h9wjr5W4DHYKdgvz +ZN7n+TyWdP/pnlEP9/f3VJAX0+Vu8PnXo13LgrYPLrol3esa9HlLjGuXy72t +u5/60+UnvZH8FfwH/KLAZ+k+OuLuu8f6p6Ifwj0l3FuC34Ufht9PHAC/nzhA +nxgH/tyvY7qn+PzJQ1be5t1mt9P3Lx9w4DMV7tyrxtfs8ECz++1Wdx0x9MsK +17H8sAsvHJV7Pn2/j0cPJm+s2X3/ZK8BG+TsxItm37FHr9ua3UTswqinQ35Y +shc4R49/wj0OxOm5xyE8HyX3EJA3SnnLb13f/D0E3DPBuQXurSBOHuRJddTr +dZI3y7l2+mmJ+bnrez7sdo2eL7vcPR7fXe5Ej+8u0Zvo0ZA3mO5vPN3HCTrc +HlEvB3nf4XaIepk8HfJ2sBOxG7ETsRuxC7ETsQuxExf+uM/Vr6++yA0s/1Nd +Zc6eKy2Zec9V76T7HteM9uC70c5bI/I5+5RB73RHOu0WOR/svTqR4yHe1Cly +OuQJItemuyfi/mWdvw9oRvQXW+P9QzOiH9nqTvd+5QzhU+IugR9a3SE+D256 +PC/R5nb703qPzW+a7L5qvOOFq3N8SUn96n4+6T5JSurfjv7Q3tG/o6T+gsjH ++EnnRv9rQszDo6R+prcj0n3NB0V/cLXoj1FSH+IBLSIX7ov+G/4jJfVfRrmB +X0dJ/YyYF/hy9A8pqQ/rme6Lfjv6tzdEf5CS+nBfRZfINfjjAXPPB3xIfhTn +7Lk3jXvU8GuII5Z6/JVF+7/FXejxWBbj6S2SR0JeyR98XHR+PA/WIPvB9fGe +KeIZI6N9K3iNeEZuI8eJKxFnQo4iV8vjeoKvbyOeaffaSB/gZ3G8t6sz3uOF +n7hVPH+HH/bqZi8eclSOH5/2+7kL4n5uQ7wXbIHEFU/39mq6/5F7OdyKH/Y9 ++tUuOVfJOUvOVXLOknNtn/z+i0ePqhruzuzTc+7f7+lxyw8au8HWn9/jPv3F +hnt8ethwd0Xp6ot2ubhL7rng3ouKz67350A3OCWcC+08ccwW93eUi1/y/pF1 +t643JP3e9m3rDcnVpN+RPvvJ4q93PDv9vrb+vtjp94ulffZDeA5s29HfV2TG +RbvAtKOfVwgM/a42742rD15tnuRbAZNvAcx9eMDYERpOeNnJI6RR+rF4YrzA +jBf4qPwwjyyXcdEesB5vixlvixlvixlvap/vaB+Y57TDc2Ce0y7PgVm3vy/4 +2aS3KobK+p181w6Dmx7/UJ7/1sMT5PkXvj7BBzZWX7Lh2tPdD7Edvjsyfgf8 +xDrHfHXTsGnO0stvivrO77NJhSsZO3u3LfdJ4z5r8UYTjrirR2DGtaxxAB8e +2wX+bOplt/xxxYTHa7qHr/7QsQlvK637Y//3nu8RmPLYN7dqOaSoVWDaYVyM +27Zr52H7OcQvdLs70o+7SOCrHv7puFOnJxg6nJnr5bmcXg/0UWroqVTmiV9G +ST18gP2zrH5pl375jnZefzH/N9YdPOewzecc1l/gn533+frnff5mwXpg6IB9 +Hkrq8528cXWNy1PNmYvnC3xE7/LcEiwoWA+8MDe7l49uiOtQJyX17N9Rv3r7 +a2u1v9btZvi/Timph6+oZx7IDek3+lHsy8HPlJLfH9/fMUfV6xwzR+Atc9TW +d36CQ3NV7orHzh/46TNNMl7i57R7ch5tJ04ROffLHDRmi/Q7WPwxbvmdiNge +9NTh8d8mcoL5hn5GSz3jG7p3npBeE/h6T29/cy/5fupc1bn5dX9O6OpSz8ev +C1zk+ekNx3gv8XQ5WODjPV0Olvbb8+jp85HAMzx9fiz9HXn75NNunzza7efp +4wXBC++P2+OeXIslAg95Jz+BUvn+ihNWvuGElSe7C06+dMrY2d3CB7y/Sk7K +PXXdbIH/kePmfX9XJt+Pqt95XP3Os9wbebHRt1XkAM/vOmDQvQcMqhS4K09e +ay0U+Nf5x/cuLIjXZeFhWfNc1jz+U7rczPN3U6SPavexn3ezwEO+e+SD7x5p +Efi4PFpvaBX40M3zDbQJXJv/fFy7wBX55jfvFPhavy5dAl90cf6vW+CV8s2f +0CMwdGfpwq6zXbf/6zoB/zQ0j+CWxJ9zvyhZZft2gbf+/sAzdr2qU+BRebIc +0y3wRVPyiqRZ9ATzKIRnvtNyoVzoblnrwPeMuxBfAi9r3ey8C/Ex8LLW2eIN +PoQvl0UHFs/ItZzw/82sOxJ89qFX/GrN/Xvc7lflETlR5AV23o2e3mcKfHEO +K+v+OLNgPTDt7+Xx0CHzfsfj+WmBg/4Y6C7Oq6XfdIucXcnzZ4/AftnH1cs8 +Kakv1C4w7Syrn1ExvkBJPXghHkRJ/ZBot497Jk8AVQJvts0LrT1/mus2z0mn +V35IdtV13k5qEhh9BDx5le1zK98leKQ99CH6j+eU1H9wZt7wapH2fubtrgRz +PonvkGvoc/gavantsWEGz8PM98XGvh8t71l9hF+h3y81/kCpab9Cxoe9wTh5 +D/sGOrHzYpzAjEM/T/2Ad2C5ty/yGf6OtSeAtV9SJ/MDZpzQATD9ANOPXRee +0y8w/bLO2o6rlnFYu4d1Wvn4U6dvus0ggT/w8mSIwBt6Q3ScwF97P2i82LHw +CfEa6r/tXP7Cky9tzfgb6AHsNOKev/4233Ci9597OZZg1uUsr+fmCUzcI8jZ +hNdC7wFr+Zy+Iz5MST3zn+n9oZFSUv9IXvxvWil8vIuXtwlmHpbv7/J6o0Pw +McOPZ4TAt3t9MbLgOgBjJxMnA34nZ/X0Lk/w7nkz6pVkT8MnfSL8gJ/HRFnH +EV7OzBb4o7zbee0sl5eqr56T/Jmcks4JxgRfv9yHOcU7R+Yvv9cU+QF6OM77 +n4k+DvNyvsmd6fVWstfJ7w/r0enGn5Zf4AQvWT/vgCWY+c3zduGDJn5UJuN6 +KU9mN5YL/J3Ha3qOnACek5/2oXPcOr4i6dmzds0veI/AGr/DBC87+nnOEHgr +rzdmmHhUkfAV9ZTwmfz+Z7SLKG39r3+Xdxzbhc+gK9Z7I6+/Jgtc7PVbidx/ +grylpB47gHEC7+Lt6kkCb+bt6gQf6v3YqQKf4P2YKZk4VFdefb7ZJvPoyIuT +KQnW8rj8fz4O2i00DvgJfN9xY57gk759w/NHZ0Z/o5cL8Tnwf8rHwNBHIb68 +eOTHOY8p2S1iX0e+hG/+Uz6jnel5M3rdmQKv7eXULIHr8+bhyxUyb8Z7uueX +xN/QKXjW8Yd+Qn+c7xT7N8arGR95BexT0Z/c12vwxX1PwM/t6wci/As/8nx5 +b2eVCvwPr+emyPxsXFLbnQn/1i60enzpejvFPZgv75X6dUhxuSLvHyf79tG8 +GzU3wXmv6YPv6o1fkfQd+L/Fly8K/n/wfvR8GVchumd8B3o/MvmBT+fF5xX1 +xn+pd194wZjW68ZhecWT4JPybtFuCZ7lA5UJpr8NfBwu4afZ+7XdMp/+lXnG +u0PgU/3798v8huXZfat5Aq+QX92x89wrP+QXOtHPRtfmDfwEH+TjsSleNf6I +vCJLz+mPdRR8RDsWO1D7x51CF3fm1W53isvekVeT6yR6W8nbT8kfOt2PJ9nx +z+ek/MiP/8VP8n/1GbtS4tFKfw0UPqBe83OplNTzHnlg7JdBJ9i1tEtJPe+d +EeVEUF9zM/xDnhv1oZ1KWT/ixPh7tMv5GSufqUeOaP5N+Ar9JH9f7zcNNH5G +gsf68h2Bf/T0+L7xU4oEvipPnut/muxYH98YL+2eFPGs/ZiS5N89mmf09Pxp +X06VuDnvA5/q7a5S4x+XZuSk9h9TfPDNPLu1J7jL64u0H8L70IONH071+mau +wOt4/pwr30MHFq8Wbxk8mHFCFxLfinFrG3+WOI2S73WCHw2XZOZpxw1M+9Zf +F7pW+jnFxfOr8+2CBI/08jP5qXYe3pzfJsXDjsybu8ul/TzeB8ZvK4QHb/5e +keAFfr8h7TvZeT3s98UK43HrvPk5MsGX+3hfihNYOvTiuSXB3sz7qqfwuuTN +np8S3CvvllT3uI2j3XuysXuxg5FDyC/gK71empSpD/SX4kw+7HhJgmt990me +8F11fvg3FQu80Ou1SUIn1/n+0j7X5l7vzC1Yr/ep+4l8us3HO58ReAsvOF7P +xHmAg35J8X1NV+Ui/9Brl3h/+22BdTxtlMhj/TvFC6U+7wV1Lr/Q7AvVm3XM +2g3Aoi+M34heQ55bu2RZdgPwg9EvtvEtv/25wyKBH8+7D08udH/1dmSK/53u +5fZQwc/xXq5/kMFXwOtEocPeMW4LXOYZcFLBfm2cT/sT6X3k+JWeTm8SeIrH +6wCTtzBQ4Et9HPh9gY/1ftMgaff1vHnY+0ORq/19fP9xoe+ffD8fmjyJIoH9 +7usb4wUe68czTtp/ydsxE6T97fy6jRQ/HzzyPXIZOJjrUwX24Ye+aT3rPTlN +k/arvZ+W+HFPb2elfJINfJwqnW9CLp3n4/gJvs8bkGk/e1Uvx9Lz8fnlK05y +j/E87/kixSm38/icKf3f5uNHKS/gfG8vzZb3990r/1cpeMBOutvbkxMFD6U+ +njV5mXgqFEeZFv1Anq8T/UBgG2f5NsZZeK73k+e5Pjmt9UJrgvufk2fslB8z +yO8ftgqs94vnuc9L8oG29H5znmz2SM93z7tHp6b8mgO8oZmea/t2nrs3CBSB +b/b4Ts8neMc75efM8I5Reg4fsa7r+DjXNRm+0XHzIoHv9fQzPMMHWl6m/dBH +vL9XnKFrYNYPeE5+W+v76Rm6s3Y08BNe3qTnH+XJ57kqgbFbsJev8/GNBId9 +rRT3Zv2Bf+b90QR/6x3WtO/HegP/1dN72rd72Pu36bnEXSK8k99WSnH0TT1f +pbg5dgRwkd+ISvBQv++Y9mORc1YuWTli+djyqdjpUT8Cd3o7OsWv9/HvL0r7 +FV4//st+hS//Zb8iz25P/ct+hbcj035FIbm2LDkDHOK2ya4M+i/BlZ4NOsx+ +QGdmPxi6YFzeTBuZ8nusnCgkFyzdiL0c8US/hfbR4NeDo97a4M18w6dl9JjN +J7J64N/L/azcKiSXLF3bddbx8+w6WDq3dGH1kKVzSzfYV2fGuDd2EnYw8Kne +LkzwAz7voEfsZ/R1ITsYuMrLp2RP4/eDpwGeDhJc7OVxgv3nByb4Ex+fmZvJ +H7PtFmoHP8CuP3p/g/55ejnS7E+ncaL3bFzjIhOnvSHuoxSyk9nXYt+k0L6K +xFkL7LOxPud7uzStV28vZ3okHq35OcE6361XL+bnzddnRsp8f/T+6JiMXnt/ +GXaJ1WurmH3LIWbf0ubhWj1n/chlxWUKxWGWFWdZVlxkWXEPiU8U8OOX5Zcv +y89elp8MTFzI5kkDn+Djs2XG/0z5qciT66MdYPOKiRPYPGDgTf0+WdIX8NN5 +foMj5VFjN1o7Yll2YSE7wtoJ2AHwD/uAOv6S8jKJ70NnxHNt3oHNC2B8Nn8b +eQOd3+b5ZbjwH3IVOOTzpv3c0GyC/bJtmfYZr/Z5K5NlXCJn4nwWen2R5hfy +qxrkXi3GNdn7A58I3N/b/xMy+TTYla/7jlK8IexnpH03SvZx5D0vHxK8Tl59 +79su/i54XsHs2/wQ923svo/Nz+X+ceAqj+4E+1bGJnh7H5BK+6bf+/2SarM+ +aX/uTr9/kuBpefLtKTP0lPbNn/b5Zynu8U8vFxIc4oN1Zn3S/h6/vwB8r9fH +Cd7Ny/sUzyZ+A3yY7yDlNx/v13OM+7n391I8l3V+1fuNYwT+PCBMvt/ZK4hE +v5sHgy/5oT4P9BGBQ57nXzN+lI63Jz7BbrN5QegpxrWsPKFCeVDaX5tunif/ +qFCeD3ChvB5gna9cLeMXfYR9+1/mLSGfbN4SsJbrAwVex6/fG0b/p/ygcL5g +vNEbRQJv6uX5x9KuzYMA3suL/0RfZ/h9+rRfpeO+5Zlx2n799ti1zUb/JJj2 +bP5Soe9k33oZcszuE7NvW2gfAL1XaJ5neTz0FBz3UO/fpPMY8DPw0V6vp3g0 +6wd8hbfvPxX4KI+AZKcf7RXIeNk3g45OzovJ1dP+4G75dItb0vN3fNw+wdAx ++/vAb3gBNV/gv3k7ar7oWfjhV15PJzjkBSf4P23X5octa5+8UL96n7b1/xvv +4KkQnumffV3kPP5SkJsJxi8J+miEwOd6v2aE5MGgr4C39OI5/c6BzpNJMHpL +4ynBet8t6emBfl2qC9bb9SnUj7YXCs9DzzOLB5tfDF6JqxfaB2H/xeZR2LzH +ZelJYOjX5mFY+4zfDRF7bVTIY9TnhBokzwc7ttTbHSmP43WfN5TNXyr0HvMq +tM+BvmQ+xAetfGXfROcf9BPYnnu50+9H9I/fp3xTu6/J/k+hPPl9vF+cYOIY +kt8X8+jFj/Z57wnWej/pne6383x3icDregP6NXMOc6DAc3z86qmUl+a/e1bg +j/w5mPcE/oe3j9415+kGZuLI9F/u/YHhAr/s9ddHJv+uSOASn0c0SuC3vBwZ +LfB3ng7HC7y2z7f/NBOXLrTPBLyTsQOPMHamjVuT3wWfr+3t/qQXQx5a1h4Y +sgy7cln7XHbfasgy4hzL2teS/ZECcV/ivHoffJ5b3xNwiiutsX+egNPzU70f +3COwD5t8kZ5bP7WQXyd+rD+nkvISQjwiwYXofFl0p/Mhkl0V8sS7jd3VnYkX +I0f+V3z0v+YDm08K3Wr91WLWl/yxdH76gryUey89H+zzQXsEXt2XCaZ9mw9c +KI/sf73vRf/Wni20D8C4bZ6oX6ZX0rnymT6gkZ5v4PMeEp5u8no7G4cuFNcE +LhSnBl6WnGH+/ys+BX/Wni/EF8z/f0VH6DXa434U5PFwcy6gKJ4LAOZ79kP0 +fOoL5mEC6/zfgVJST5xe4tv5MN49yZ6xdo/ez0v5qdTXefmU7AWd/zDM5HX1 +6qX1d/YeCHvPwngfp3ozc68F8LU+zv+xeZ7uqbD3HuD36XzjFHfHL7f3ZFi/ +296LYeO14TxlY+YeBvxKfe9Cwgv0/O/vtbD3Rth7LloyedGsM+/rPOuWzPkm +7HPgd7weHmrOk4/PxCmXpfe0XUn8uVTsauAN8mk6gxP8st/n7zJxiUqB6/w+ +WIqbP+oDKOn5XC//Ut7Xzl4+VppxzHOrezmT4LCPmOANvFxK+1ohDp6eY3+c +6eXmvMw+NHQBndj3tH5ryMyz0Dzsftz/al7be/s+xQW39vb/qGXGNaz/XSiO +QRxe012lyIWGeA4Ce7EyniMCLpR3bvf5gO25KPLDmn0/SW6M9vItyeXLvP74 +l9/nMfnU2FMSF/V20a0yD84f8V2IByfYd3NiWRxf4tu7ff5A0ivIG4tf5AHj +vcHIxUv8/ui4DJ/d5N3AFG/63BsCy+ZDiaPE+Qa3PJ2Hutn3P0ngC33/JTLu +QnRl9ynYlyi0b3FYfjvvwxRnWMHbjwm+y9NXsiPDOaQEf+L3pVKcyqvXzesz +8ZY7vV2T4ipnertnUcF6y8/6XpGUFzrDy62UP9ru+XtEJs6E/m7357pTfuK5 +Pm6Vzqct65zc/2pfBhj6xs6BnoN9PEPgc71+m10wL/Uovy/bkNkHY9zcBwjs +zdUjEnyMj5dPydzLE+LACYZOoTudx9tP6MaeY8AuZv0K0ZWOH6TzFOQrYH8x +b/pH3/K7rbSLXQB+KbW90CL+kc6jSfcN2DgOcgY9ofPME76gK+iQdokP2n02 +u0+m9+9mmLhhOlfIOYlC9Xa+9lwa85bfK4/1Ou7bYuRfi9k3GSzwWt4/GSJ6 +FfkN/KLfCLX3m1UJXO/5ukq+e7+A3A92dKPR0wnW5xmz+/a9fd5Teh7Gke7T +An+F5mHHDR5Zf/AFDD0HPHO/euJje04t2IEJ5ve7oY+TvbxMsI4H9jPxuX4m +Ppby46EbYPgE+av5rlz4jOfgWcdH2ow91mHiA8nfBA+sJ/h6xIv3BCNH0J+c +wwD2x2tvSTDt++2RD1K+EHKMedA+6zjO5GmFe8+qjByry5zrof1Jxu8a5OPs +g6S9403eyt+94ikTvNlzZswDOSh2cWzfm7E/TJJ5g18dv0z3OgDr+EHjMs9t +IM+Xdc6z0DkUxjPP680k36/x5dyI16x8L3TOELlW6dtL9wiu4vXw7IL1Vh7+ +t+dAGQ95d8zXnnskj/A+r2CTPF3Flwlu9HIv6Z/zfdwkwci9cO9DKqnHXlwt +f93DrqVSUk9eq7YbEr71Pnz2nkPsi4t83PnNzLmwcE9R0of2nFjIF0vwxz5+ +05jZj6F+WXZ2OAecva+G+mX5tcuyC8H7hj7el/SdX5bnZ//XeTHAhfJgrDy3 +ee5hn2Bu5pwe45vv2Xq6wOH+xBRHm+LvA0kl9cx/Lb/fPFpK6uk/3FuW7Nhw +b2B1wXpg+O4Rn8ef4lXj/PzSPQoN/pxR4tsh3k8t/a+/A5Zz7AX8BuRsIb8G +evj/PZf9/ysHiG+R/8P69ffjyt6PSL13R5taMnQNzDrZcxafebxWZuLi7/o4 +boeRi51GbhaOm7/kx9Vl5G6nkcsJDvey/cu9k37/KMHCdwXe89fXrd+VicdS +j3wJdry9rzPly2Nn6rhpshvtvayLvT6dLnLVnkMulGcE3bL/SKn112iJV2KP +og/svWGHe4GU8r6DfZE9327tsGDfpbi3vWcsnGfg95zTOUhtp1cY/ZXuKVrJ +66kEh3nyO+SpPe4t0vI+waybvhciwdARfCDnEaO9a/MkyYsEDvf0ZONX1k4N +5zmanE/7PSOLjxO8Hp0j600eo+wLej2S1nlH7weUFay39FAoroOdXygP95qY +hwsc7MiUdxHyjhMc8vgTHO5dSfRGGe6BqXCdPo6e8KHvQ566DL4rlXvvaPcF +HzfP0q+9Fy/sszTJvYE6r6Q9sz72Hq2hvqyMeSfpfZtHu6y8Z+ywwKfc91eW +0b/Bzh8p9BrytFNJPfopnM9J+Uc2L8oP441EH+Rl4Qdh1xFntOMExu/om3c7 +T6uWknrwtbLn51RSH875Z+096jsiHpZ4Okkl9Q94vZnVb9TzOyyWHuT3J+M8 +uCef39ljPfkdE9bjjbgeQR6Nkf74XUR+t9DGa2iH72iH7/T6pd8/lN8fjOPU +cjrd58a4mZfO40zrzr3+2i9P8ZFw72h6Tmm/4z2dT9DiWlrX2aPnpqRn99qt +uv9Wa6d7u+T+vO82rlz5sup0P/dGp20x7cgS9/Fj91z59+Oy+YErrDrloWfu +Hyly7cDtvthor6Yy994qJd1jpqVx0a7ORy532249/MFVH0/fiR6N7dLPD4cf +0XX/qSmujl8wep+T9t7k7Sp37I19fEk969FyysV/ffCYee7U9r9fsvPjpe6U +uF6sw5pzj9n74zMa3WX3L7f9yM2sf1Lu9nj1Vytc8lC5W3PVhSPWXn+MGxjp +A7r4w0HunZEHpvs01v3p0cWP3FznPhv3p7Zzfkz0hlx884V1WxdfmuyTNxur +mq59L8WbWBfGzTwYJ+OmX8bBvJgn42TcjINxXfXE1TeveWWS18wbPFz24N3v +P/tQ4ueBrcdPOv+9RI/bxXVjHVln1l3iCXOnV+53Qpf7f34bk/A= + "], {{{ + EdgeForm[], + GrayLevel[0.], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJwtVEtIlGEU/SyTmvGfxz/OP2FUBD00aNViRkehkhoLtBDbVJCJhkLpxhbO +IjAzgtQKfEDPVfQYoaIWQZsWZVb0zgcu2/Vc1KonndO5i4/vdb9zzz333m9V +a3dT1wLn3FGMhRhZbLYXO3cP6/mQc1uwr8ZIY1RhLCpy7nHMuTHPue4S5w4l +dH7ed24d5s14iyu3DfsHsB0JnOsFzlmMFdjXhYRLzA3Fwi3AfqBM+x3Ay+G+ +GeMZzvuxj8CmH3h/AvFpSzk3BQ6jcHQYHMZwV4nzPthO4GxjFPY4PxZ2bhY4 +eeMeMf6r4Wc91uXAnwZOAW/6YH/cN1/AaQ4Lg/5GcV6B+Rv8j1icg4F8Ly8V +fjv81GMsAf4mXxr+hc3zhGI8h7OLvvQdxvklrGuw/hyIN/k3YF6G90OGE4s4 +N1cqzdowBjEW47w1KW5XocPDhGIZB94N2Dcgnr6wMNoN55HZ0HY67lwK8Zbj +/EBScbdg9oqkOzXZmVRud2G+Ai2DiPKxD+tf4PPUiUud8SkB3l7chbAuYF4T +EV9qRq2mnHhQH9bVT2A0RXU+g/WeqPJyE3Ml3nbA7n1IOaD+tP1RKvt604J+ +PwWqoyHM93E/i9h6rBaZ75eItwd3GaxfmcbEZqwdgfJ2h7p5qgNqkcd9p9lw +ztn6heWR+byMN7VYT2LdkFQddALveyD/t3GfL1OdbYXNUuDPgdtK4DSaPd/d +Ray74fdUWPzI87Dlivj0+18bT/qw1ljT5M189FqPsM8qTOch0+SCr9pnvIx7 +xFPP0HcN/L4FnzO4q8X6TVz9Sdu8xVtnPUqdq2GTxTgdEjfes06yvvr9N3yO +e/oXWDdPME/GxPdjIG7sIfJjPfB/WAu8iahqlDxYr6z967iciSn3M+C1Pypd +6i3nrB/mjBp0USvg3IoqV+mI6pu1zf6krw+B8sG8pFP6O1hTAylhzJo+Gbyt +whg2P+xT+jqRUq+x5xoTygvzP281Sqxe+9uYi5zlhPpkUtKD/cR3laYdda0x +bb8GWvM/KMD/u7hyzH+Tec35+s9OxsWDtll7m7b/jP9ni/XyEbw7CJzXcfG7 +5knHjP07fPsF8z+MLLJU + "]], + PolygonBox[CompressedData[" +1:eJwlk01IVGEUhk+DzmK697szc3MmioqgP4XWo6lBBVmLxMJdRT9UKKRubJE7 +MyPoH0whahmVE9SiRdCmTaIGlRWOuIw2/S5y1S89h3dxuO/5vve853znnLv+ ++MCB/oyZbcfqsFIwy8VmZ3Nm3dhI0SxAaMFOp2YT+E3gDZCHVpjVw92fmFWJ +rV9mdhg8Hwl73C34Fb5b4Y/Cf8p9Ezl60R7CZvHb8K+DVxNzEH8lmuvAOWyh +YPaE+0vLdTbD/Sb8k/CvYI1Bmq7Vg70ET3I2DH8t/C78X9QzTX3I2kf8R4m4 +NWwanIe/C3wZmyPfA4jdxH/AL4MPwZkldhV6vSWzviz5eFMPeB89aQS3Y53g +jUGarnUCK+LfTdTLDuwhOOVsT05veJyI43fek6lUWt7jF+DRstlO8Ag5L4C7 +GswGwOPUNYdfwQYzOmsuS7uaKLfn6EOjOaNZnGcWP6h5C/g5b9mNfwZ/OCvO +IPgr1gbehn0BV8lzP9a982rkmIyFj1HLPzh7mW0r93fQaw2aqc/yGvnn87w5 +Vv3e0/5UvfOejcNvgV8J6u1V+G8LmqHP7gb+t5K0vabv4KNwTwXNZhFbiHTm +2GdYI34iVj+8L5+I2ZzRmz+DjyTaUe+Hv+leWbVdJG4J/K6gHfPd8p303c7G +2kXf8Y6ieufaS+j9jrRjvlu+I4v4zyLdO+91qn/H/4FX4DfkGIu1Q50N+tfa +g97q/9z7gnbUd/Mc/Zqif9UgvAbdn5FyuLbv9E3iZ/K6c80/1LSjTm8eo9bb +Rc3Sd+gvd/8BXU2BTg== + "]]}]}, { + EdgeForm[], + GrayLevel[0.13052392356240913`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNV1tsVFUUPW1vZ9rpdNrembkjiS01QY3xhW8TjfgGCgUqH+CT9CFPrUhR +WjQaa0F8gMEYjUblg5gYg0YjYNQYo0axFWZ4FRPU+AcqvqLRDwR1Ldci+nFz +zj13n332WWftdfY9peeuG/qrQwi3VYVQg/bk+hCiKITT0b+0FMIZDSFcgnYw +H8JfGGuNQ5iaCqGM/i48d8F2BSbOxfMGvg3AWW8Swo2YMw1zb0L7aSGEvRg/ +FeOt9VpjGO9PYu4MPBPwDKWxBp6HMD4AX/0Yu6FG39J4IsSXwzMHY6dh3avg +axHimFbUGNffjfFutH01sm9p0Di/v4jYvspgD5jXjDkHsc572NN8vJdge3tB +++iK5KeUDeF+2NfWhvBjRjgwrjLm7IdNJa/YV+N7Deavwfwh9J/HOpthuwa2 +J2F8BDHeG+l9Mtr7YLMzaK/c8x5in2jf2zF3XyQ/WzH3Maw7Hb7m430O/Lxe +F8JstIcwbxTPB7DZirFteP6Gn8MY24L+DvTH3Kcd9/Ea+uMY78C+5jTovRsx +12HdB2KtzRjqMLYqr7NNYmFM/wtTmvO6/RALns9o0NPFs0L7NOaMY71j2FM5 +I+z4nWc36P1WN4fwR1MIbYhjVS6E39FvRX9dVngRqw8Rwyiw+AhtvkE841kO +FrTXeYnsiG1vjXBaYKxm1ouHxGct+HeU51HSOPFgnPc0hrAc666KhNXnaeHG +2Nl/uUrjtEdYYQ/aMp53fHbcD3m4C/bfeu4g/H+PJ8Has4HDTthsRPzXxorl +iaJinOY4iTd90c9q7KsfY8/C9p28fKyLxQHakqMx9lCNdmVee+81xyqOLY3+ +rYl4dTPaB2OdL8+ZeBG3KxPx4rD3thg4PJgTvmyPNanfgfE/m4T9WoyvySlu +rteDdbdQK/DendE7z4/vjClUKQ83oTuMeTXNOqcO7H8pzveaRFwiD8nngUbZ +0aYcCYdXqoQfMSI+yzLKZ+byQF48ugV+LsMeUlXCZRvW+Rl+kqxy8KjzsC2W +dlHDHsWetmO9HcQL9o/kxB3yYMTawbiWZhTbMGzfahYXP8H8CtpP88oJ5gYx +5fpLUoqB+tFpDTkP+52B8cloPzOfyesu+F+R0RyuO5zS2sS9PyUdOhVx3t2i +fKDdUvvnOZMb5OElRenChWivto5Rz3iu5Do514t1vs6IG9NgO6te+n0cdl9i +/AVg01mvceYMtZkaTexnRtJoajD9ddqGLd+ZR/sTafnbvhc6Pc77ge/s54Dx +FziTKVhvfSQdTIzTevcfBkd3ov0Y+JwN+7NyOnPGuNm8ux777IPPKYnm1Bpn +7otrUbOuj5WTv8JmJNYe7szLF7nDvK2YZ9ThsRZhTZyJ7aDzl7waqhfPj9Sr +zzuMd+PJxodjg7Zhf7VtTorFT/L08rTG6a8MLm1okmaT623OF2rkgLWUGrfC +dxl1/hvYrqgWL0d8rzH/yYWJWGcMuI3xzkW7PKV7k77iBuUu/XGdVq91xBrF +uPnOnGX+/usjpZxlnsWeux4xjDs3+J34M5eGzRXWCbUF3ZMR2hnOceY6sdpp +nSS/eE7kD/Nmof3QH/1y/WdicaI/r7uly5hM9bnz/K9IZMt9l2BfwfcdsN+d +FlfIE+YEc5dnwPuK77yzqMWMZxPmdqSUm+RMMVbLe+/8onzS9+fV0s+XzOcO +21Pfeh0/tf+w9Z/8Zm4zXzdmle/0RfxmuoZhXOQgY3sqK7vpWXGTZ06s7nBt +8XCsWoM1AWuMCa6X2N+bVm4zr3m/3539735+zXUCdX7MsbWDd8tapC+sWfbb +z2++p6fG2kvZ9zVz4KB15kBGOUU/+1zDjaOdCp8ft2gfrZE0m3z4KVFsPybi +zbj3zrvi8Yz0kvFRY4nFqDGkVpDvh07UNvB/cU5aSZtDvosTawjzlz7us59Z +eY135qUNbZE4SG5UfD9SX6gzQwVxLbGG1LpPn2lrHvFJFcSdCcDnDsSzqFE5 +Rr4Td35bh/E1jfK7DP3eJvH3e+x/Lmy+S5Rv1BdqxWzYLmpSTk/0+bLeI9/J +M+JAbpJv5M8feeUN6+t218OMjW2dsU3gb36L6jvWGcTvOt//qUgc/gVYbm9W +bfs+nnkt4h5raObkdLTnFJWn5xb/w4Wc5B34UKM4vdp6SE2b7DvugqJsI9tv +gO+LmsTLC31PXYR2uf8F+E9AP9RHvvcUlG+jseJl3NSio03iLnnbZs3nGbX6 +fE+cF+dscv1f5z5r7cr/7Mvm6MpEunYP2iN4enBGP/isDpjnfYlwIB4LC6rB ++griIPWYPLwRcUWN0oPFsF+Lb0sS6WqPazPWkmOuJyf6nHkWzIMpzgXudcz7 +5ZnzTCrWzE7f1//Wa+bGidqUMcxFDMey4g3xaPUZ1Jkn9ElsJpoDP8N+ICd9 +51i7ucR/I2rK265lmHOsJ1jnbHX9z/r8OdforIf3OqeYW8wx7pfzHvNc+trj +mvlVrDspJw3YlxV2xG26NZD7nem8I59Zs/RY34jRZc4dxsF51F5yh+PVjoHr +b/F/0LfGa4rrrJQ1m3OJyVLXVSXXsynPPS2R30mJ9rfHmBDPbt+/byL2M3PS +nuNZnQHxbzfOxJtc6PK/8T6PE+ej/s9hXUrdWmbtOpyIV8fBsadKqmE3lnSG +7fZJLs01P3mHH3G9Mckx50vieKs5/67/I/g/UfZeiCf/e1Y2qvYcsh/qU+R7 +PF0Q9rttH9kntb3PuTBSkCZS/y4u6n+D/x0LEq1V8XkR227zfGGjNJT6+Q9b +yv11 + "]], + PolygonBox[CompressedData[" +1:eJwtlVtsVVUQhlcvtLWXc9rdc/bxwWJM1GjUeAtgohG8YGlrKcUH0ajYixSp +FmiLyEVNS0+tYmsgqPHKgzEaEx+IFaPGmKBSBVoKpWJE44smilaMaB+wRb8/ +Pw+TPWvNrH9mzfxr9kXNa5d35IYQskg+0pkI4VQyhKgkhApkWxRCHYbnkW2V +IZyNQ/i+OIQPc0JYhG0fe19j6ykL4XAmhPnpECbBWVYQwgL0Xfj/UhjCKGfu +wL8Z7NnSEMbwacwLYTv2EeyHhJ8KYQcYMfY5cxDWM9gnOfsW8W7k/BT2D8rt +sxN9hu8JpLbAmHuxlZDLVs5k2P+beO8iTawv4D5PoK/C3kG8dZwpIkYPBTgE +fgP4VchZcFqxVaeN/SlScy5GCvw9YKwBbxl4p8mhnvXL2N9Gr0Ru4j654EXo +H2G7ipq2478FGWGdYL0Qfbsw0s6ji1o0oI9Tz0lyGwSjm7s/yF4ftl58mtCv +SBhTWMphATEuJ48p9D3k3sP5Qc7XIy+y/ifpGujuVcjVYCwBa5Q7prGP4H84 +uIdfoV/G/fqJsQTflcheajWQdH/Up3/RV7O3lnUl9iHWW1VTMIeLzBFx5U6k +D/z1FdwN/8e0xicN/jD+neTbyPlW8n+T7wnWs9z3PuQI+Wwi1v3o32J/JunY +4kobWO2sl+e5h4vY+w//NrBvQa9JW1cP50bObYLehBznWM3eWLE5KW6KK0Pk +uL7UnLky4Tcg7qtnA/jH8OPkeSH8HFukH2VvHdy5jfUacDPg34rexdnaMtdG +b+gU6+Fy81mczWLrTjpn1XR3ytyrAnMitu+fCXNXZ7rxzybd/434r6gwB8W9 +WnyOl7qmqqU49ST5FpHbQaQZ7E/ox3e5vsPH6C1Jv0G9PdVwZexa6w08gP5o +pXsnDoqLG2JzURwUF59OmCPiRg2ST37T5NCU5xpn6deZEvdUvX0tcm/HwRiM +/VYOVJgLejPTrDcmzM25SD0xr8k3h8Xl/eIn+hZqsTuySJfP0krHbiCH1jzn +UMveMHlswifL/f+KPXu+QV6I/Eb0VsSB09heYt2B7xh4X3B2MfJOjvc2c/5h +fPrJvRPseu5/b8ZvI0vOP2V8RmeV45foD6XMhRWcX5Xym1Xv1MPjGc8I3XsA +acY2i08ntf+Rt7OfWH0pn1WMe/B9JfJdJsAfBf8N1j+QewvyB/6LWX9GvC4w +plUr5Bi+mznzamSRrhn+iPoP/oFcc+QpbG3ktaHM3FINFUOxhDGGfj051hV4 +RlyXdg1Uiw72lqLPS3vW682eD94gvY2T5uZ73CmOPGuEcW3aM06zTjPrBu53 +N/7V+O88N2Nn0M8kja8ZM8Qdjxb6n/M6WHlwL7fcXNFM0VsaK/Ps0ZtqiV0L +zbhWcTvldybb4+iTsd9aLz7H0PcRv7fM828H8RfGnv2q0c3oU7FrrRyUyyWx +375m/KXoF0ae9ZoBddxtPryIwXu22DNOnBf3m9F/Q38OOVjof9ouzv7K+q5i +78kmDogL6untkTkr7srnZGzswnK/PcVQD1Srdu4xTj0vTvgfo3+L/nnvc74x +3xxeHZtz4p7eaD/+v8fOTZwStz6vcE1UC/VkXtI9VS81IwtTnkv6xxegH8n4 +n6p/mP5lHZX+9yimYv8PE1MoxA== + "]]}]}, { + EdgeForm[], + GrayLevel[0.22160991415562525`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmHuQ1WUZx3/u5dz2LGfPOfs7hxS8FaJjE8lNUwJCrNEwx0VRZ4RNCEN2 +ua6QsK5Y0silVC5mJV4mL9s/lMVMNjZiipcSx0wWCywd6TaNGti4rFRq34/f +Z8c/fud9z3t93ufyfb7ve8r8ZR1LG5IkadNPo8p6NUmuU+XBWpJsTpPkkUyS +bFK5osH13cclyf+ak+Rnqg81JckatT+q+jNq3566vk3l3fpeVtsf25NkqsZk +NGev/lcKSfJf7XNM30/ySbJT33FqP11rfVLj/qP2uarnJUNOX6f65+nLq+9u +rZHTN0FjXtFX0rzxKtcWvS5zl6h/muaN0fgb1b5B7R/kLTfyjtSY3ZLtFcn5 +eOq296L9qQa3JyqntCbJNaUkmaj60arHXFBJkuU6zwLt8Tfp5wy1rdBeNa19 +ZTZJpqveom+P1j2gdZ5S+WSD68epfFb/G1Su1TqDI6SzNsmotX6ovfaq3qNx +P1D9edVXZKxn5GvhjJJlPeOarDt0uC2x/tj/fdUHG2wHznJDu3WxRuXyXJK8 +qPpWtZ9atcwH1f6S1upW+8kN3gcdsdfYgvemPrPRekfn+3TmHarfp7kZjdmk +efs0Z5TWXKP5E+tJMkf9u/Vt0fh5Ou86nWO92tflPHei2tfp/FeovkDrXKz1 +X2iw/OdonV36f5fKg5q3p8F6e0P1G5rtA7Mk1Bfj//nSR0G6OlqwnVY32+7T +ZItLNeY91bdpzG0jPOcPGdsD+25SW7nN672gsqavQ/XljfYjdHyHztunOXN1 +jor635QNhgreD7vh16xdbfP6G1ptV/r+obHXqP5awePwffx1dt5rTlLbE6ll ++rXKe9R+r75Pq31H3v9PVf3p1Lp4RmW/2n6ctw/V9b2q7zHJeTTn9sGcfbI/ +xrwjvS8pa67KrGQ6FnIsbnSMD2juidL1MtUf0lk3FhyTxCO+jL7vT7xuf/jZ +nILPQfxl2r1uVuUUtf81Y1t+mHfM4ZurNPdOlder3J53fWfy8f99Gt+svdtl +s3GS842Yhz/MzXs9ZGDsipzHT9de72Rcn5O1b4MX6zRml75/0t7kOj5wXsEy +cbZLKsaQnGR+S3Pf1jdNY9rUl8s7Fq5TuQjZEpfo6WV9+6mHHGfLHh2SYbLK +pTn7Fb6Kzx6L2ATHFmYsG7rvCJ/8Uur20RVjDv5IvOxpsl2x6Zc1pktjTtKY +xbLRRerrqto38Atk2i3b7pfPdSCrfLC/1fF2ZZPngkWH8tYpuny56rP+vmp/ +6Q+fIXaIGzDlYnAdzAsdEv/oE0z6fqtxaVGjcR+ddDca5w+qfkurcQqM+qXG +P6pvpDD4VrX3qv0bzVFGnRie3GA/29hgnwLPt6v/9VbHw/oW+xzrz5Of9Mpe +nSq/V7Me7pB+Li9Yt+i4X/2b0Y9kKuqc3ZLlT+2OYeLuIfnY5LrxCtwi56ws +OubJFdcXrRNiYWWLfQYcXZV1XulR/6qiY+7BFsuHbPhYX9F+ht7WZq27r9aN +cZ0qcxqT1XdT3muvjfWZ01t0zEyQPN8tWi5y7u7A8xN1zkWS/0KdY0eTzwcm +v5m1HMhAHK+J/EB839BkG72uPc8o2t9TrXOh1hmndRbUvd+QdPnZusdXpZNZ +6p+atQ/MrxuTvlm3jsFWfPiwbPuB8G2s1n1Ntnq7zb75odqOqH662k/Tup/X ++DEqn2t2/UiD8WNv5O6hnHUJHv4ldVwfUjmj5px6vsoJ2vvbqh+Wv98r3/i3 +9qsWjIu0E3NHyuYQkzR2nMrvNDk3PVtzLntfPnBLnJdzf03tN2vugpr1wjnQ +5fZmty9sNI7jv3CX2RX7ObymRzKcKxnO1Fo/V/0zOnN3wXiE/MRwWeOnqD6W +M5WNy2NU7807dsjTv8jYxtRnp87/XZKnS/q4vNm4AAcCV8CTT8g2Xfq/UGMK +jcYX+u/Q+meX7McnVZ3DHtaYn2q95eFDMyvWA/r4XWqsflHlw63GDnCDM1/d +ZB4B7jKm1GA5y1nL+nyT45uzwx34D2YuCY5BXr+q7theL51/q27MuDS17AeD +u4FnG4M/zG83b7ipYvz5SmDQtWq/Su0L241p4Nlh7Cd9zx9hv16dc46Bk6Gz +OcE94Ge0bdCanRr7d+nnQMF57argEt05y8s8/J298Xl8+c+t9mfWx3fJWdnI +CcQUfBBfITaJGWJnfN1+TzziSy3YS+3vSv6zUsdVTfK8VLQf48PoCe4ADh7U +nltKzj/YYVbIsztjrkXMfyo4JFyyqHMNFI09MyTzj0YYV/Cby0MPnBksY334 +16kZc7Cq5Jih+pmpdf1S2LGutqebnIOwGbbrSB2Lq4PjPig5B9rMZW6uG2PB +2i9I51cwRuVDGjO+ZMyF06EH7D6gvhM1b3/NeYS8TzzMrRkzr645P4Nx4Ntv +qpbtOZUjK+Z1k1LHLDomJsFl9iUm4JnkAObDqe9udVxhc3gkdufugv3gvOgZ +HePz41P7wITUOeSErHWO/o/P2gboZk/oZ2rN/GNazXvAH8mvO2WHS9qcG+Da +6Ac+c23NesAvWmpeP1ux/8KHWBdshceAjU/ItpeVnOvJHeuC29yneJ9Wcs64 +PjgRmMP+xAQylPOOTeL0Ho3fUfY96faK8yb5c2rJfbRvrTjn3FXzOccFfiIv +cYvt4EfEwJjEaywODjlT6zyhdW4r2paMIUamq/3+su9huyIvIj/rdQcWkK/A +K3IWdxL0dUrV+YF8jh7wXXwYXtpetd88UDPGMffkqvkr+W+06o9VbadfVZ0b +lsX6cDz0QQwfaLcMJ2hMPu8YwP+JiVdDn5NLxlZwdVbVOslUzF24a0wMvoHP +EVMPhE+nVfOFK4IzDEQ+Ridn1a23kVXnYfwP3IWPkQeJ7Z7gF/CQC1Lnxp6a ++Qlt8PDX4h7C3QI+0hHzubezV63qu8qBiH3waVHIwFnzYceBVvPIjrBtLjBu +Q+r8sTH1fYwYPj71vFzM3Rzn5+xgy0d3vCbLMRRnAeN3hf9UdPZByVOtG/87 +IgewXj64d2fcGbk7bpVc55bMyT6n8pySdcObAGfCH8g53G/h2HzLcs6Jw9yd +8/Ifjk4epZ/x3IUPxdsC69C/LNqXR5314FzkWbAF31kc+mkrOB9xN6HtumjH +3ozdFn7bGW8X7NMZexHnxG09ePe0GH9n3JfINcRuOXRCHlsV+MCY7XGfIi+t +zn3cvzrmMq8t5o4qmIeCpcg7PWSmvxzxQB5cErmQe8zS0MOw3B/dv5rtp+Q7 +uMHcuKMxtyvGY/v+wMxCvN9sC9xoC/2Qx2fmzQO74t7EXDgQ/IL14TdgxPHy +u77Cx3foy4IjwZXAVHg1MnA/6I576WDNfBXeSpysiDFgJPc2+MzKnOs74+6M +708KDtMdZ2luN+/bUrePLYn2J0PuJMru4Gq3tBsTNte8PmeEq5ADby07D/bk +3Me+lPxHD9wr+c94ZJkd8mDfnhg/L+5w2KIz7hStVWMu9wV4LRztkeCU2AAc +x+7/KjjXEK/kMXCMPnLFW3H/fbXdHBWuyr2QOvrjvjK64PeeUVEHw3m3OLtg +fYATpxXMNXekzpf3pPa7UTF+eD7ycO85L94ayBuPR+4Ay+Hw3MUOhl3BDfgC +vAWM4Z2vGm+I3MXL8O6859B3LHgaeQiM4k4FbnKWLam57NbUvIO3yo/yVbPv +kOSbozXLwH2Ce9rGyEHcO3kH40z4DnuX4q62Mu5r8P3pcQ+Aw8JbwFo4y5zI +7Svi3QObcoYxwe2nxHsGa44OXaEz5vflzVFuzLvOuZAL+cjR8IKbgjNwhveG +Zc57DuOH5w9GjptZcJ5Df22hw5nhh0eCDzGfuOSORQ4dfo/bEzLjg7z7gAf7 +4q0G+cn16+LtBT6BbrZUvH9vyEAeAAvYqyew7EicdShs1xfyIzvYMxj4gO73 +hf7JIeSXjXGWgYg7/DYXvgfuccbDoTP6hvWWi/s4+ZWYu73mseUYvzPeT8Bt +cja5+92a92cc8dgX+AT+oL/98UbEvYuYgJIvrjnOeIMZHe8AyMbah2L9E1Kf +Z3nVftkbtiMXLY28NvxegFzcG4Yiv2+KGCO+9goffsvbUN3jiIHhWM7E2bkf +XxQcj3eL3ni7mBfygDW8jb0VHBvfwF7ohHsAfJpcMjf0A8YOle0P19T93jA2 +3hyG/QNdcafOxNsp+HEg3mSx2/6wHfvB7cEA3kHBc/gmGN8XOH9a1m/1vJ/B +4eByX5eO/w+yHjRW + "]], + PolygonBox[CompressedData[" +1:eJwllnuQ1WMYx9/azjnt6Zw9u2fP+R2ViqgkI3RFKln30th0Q7qsyBZddU8o +0yrUtplhrOskfxlhRi5dVBIylSzK/TZlpulGtcjt8/X94515nve5P+/zPs9z +5rjJlfc0DSFs4DTjLI9C6MHFgngIK4CvyYeQLApheCKEy8ErwadCeyIdwp5C +CB3AOyPYFJmzgaPyEO6Cv5pzIfR+yAxDthj8KugrMiFsSoXQgK0JxSGcy10B +2WPo/Am4TTaE8cCj0DkbXcdKQzjC6YRMZ84/JSEcBj+Y8F0PZG6Evx94d+BW +yEzE1kTk78B2OT6cSIZwVP6B94SnEv6h3LXM+k60y5DvCFyLfD2yzWMhDIY+ +Efw68Ec4FcBzs461sXkIO+CvI54n087Jedx/xl1b4qpH/tPIMSt2xXQ18Ndl +2MH2K+A14OvQ1z5umQb4j0fOXXt0LYeWx+YE8NnYv4BY/kC+P/J9kCmDvgF8 +PedRcvEYZwk6NzYJYS30ZcDdOIOA+xLfBXkfwQO5uzDvXP5LTs9JOaeH0dUL +/V9A3wR9DPSXoS9uEcJqziPcvQrtL+KrwP64Er+R3uY75K6D3kL5h+d64OXo +60uO5kL/kze/gvhGJMwj3qV5+1rGXRG0BwrOo/L5IHAb4p8M70PQu4GPhmce +cAV3t0R+c7293rQXcIfIb7kd/97PhdAua19GkL8Z6LoJX77lveqLXYOtkHkd +XZXQWwP/mHctKsfKdQOxvZj2fxiCTP/If+FeznDgFVm/lXw+Ab4S/V/Cfxe8 +1ZyD4KPJ0T70NXKe0ftxN1+1DP1p4D7wd0f+FP6k8XEQ/kzCn/uJdyt4B2gz +iWcR8RSwd0Pcb3qR/ib+1SA/H/pJ9EfgVSV+i0reaxH6KzKujW7oWYnMG8hu +o0ZWAI+FtgT5WTH78HDetakaUi1t43wJ3gTaZuCnVV/gDdBPBz5FPBXYGsBd +Ob49ha6PS217Ondx7roSSyvylVR+iOk0fFkHzyHgd/OutYD+9cCLkZ+OT13A +dyC3C5798H8EvIVcbEPuzVLrUMyfcNcP3kPofxz9nyG/Ou23quSMRb5P0jkd +U/Bf6Yn+aSn/mbX4two9v6P/JLrq9OZpy96b8h/XX1dPvBL/uqIjl/CfzJW7 +BlQLd6NjNu/THfqcZq7ZttBrweMx+6vYE/AkwHeQv2bAH3F2xtwj+0aOdVHa +sSvmcmLNlrp2rlIdwzMz4T80IHLMin0P+oaoH+Dj5/B15C4X2YZsyYcYcBVn +eMw2ZVs5V+4lsxF4b866JuH/PuA69ai4Y45FrgHVwj7utgJvyRtWz1Dv0Bvr +rVUj9Xn3WPVaxRzPuWZUO63VA+B9hxy9R5wF+EuhJbKmHUamuOAaVa3Kh1XA +R8rcC1ST74Efz7nX6w/3RtdLade8an0hPI2R4bNU++j+HJ1r0qaNRn5i5DpV +DVUDLy6YJplFwLXYuxh903mXE9TBtchMiHsmajYui/w3f4O+F/4q8PsTrinV +lnqUetVc7kYBl/GWdWm/5UD+yK2RacOIYTr+n4/O8UXWcTu0WRnrlg390ZsL +lpsNPBK4V8Y9Vr1VNf2G/mDMPfI25H/hbhU8z6jXcL5Le2apX+muK/aujdum +bF+Dfyn6x6Xkfy52muc8C6VTulPIH1APhb6A803aNqRbPfXvnGdDJ2gHsN8p +71mVwV5H4NqMdwDNfvXID9G5UfXPGYfsJWn3UPVO9YB6Yvse/dmkZ8h+aHl4 +Hk66p15U8GzUzlFQ/krso3yblLRN2f4ZH3YB346NH4BHYu8O4O3I7G7mnqre +eib41CLvNF9Bj7KelbeCz4K2M29d6imNZd4JtBuoxw0Efo67HPZrku7xmjma +PdpBsvhawL/XMvZtWNJvrrfXDnNa1jZkS2+Sz3oH0i6kmmsLPrjUOiSrmfwz +OpeWuCZUG8rVbk550jnrkndv1o6lXesM9E0pco/qqf0s45mkWTQvZd9Xgs9I +OYYabFaRq63wv4XsZs6kmHP2QbnfYgA+TWvhNxGPePWn3wZ+Hl3Plln3As5Y +cjo05h60EN1j8f2KtGeXaurOyL1HO1xL5J/NeZfSTqbdbE7OvVYzUbOxNuu/ +fY76d+SZr9kvn6fkPDPUR+WzfF+j/0PMH+LTDuD7sq49+STftINoF9GMrNW+ +lvMsVk20R/7XtGe2ZrVyvDjnv6iaUm31KNgX5bgd/EdLvUNpd9KOdUnGPUW9 +RDken3Mt/t/Tsf1Cif+g/p5y2pByDpU7/ckp5d5VtJNWA/fOeGZpVqlHXZn1 +LNOOpl3tPwNVhY8= + "]], + + PolygonBox[{{6053, 1661, 4487, 3916, 6054}, {6085, 4461, + 3482, 1651, 5460}}]}]}, { + EdgeForm[], + GrayLevel[0.31269590474884135`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmXlw1dUVx3+akLyXlwDJ+/1+QUABQVCWEEAluLTY0RkR1Fa0dVDH1hmD +S3HpqCxRJEB54AJoFSltZ4oKg12gqCwqLm116lpFa0XBSq1Uq61WhxCYOk6/ +H7+H4Y+bc9/9nXvOuWe/N4Muu/a8aw5PkuQU/akS7JclybCaJOkreGKeJOfW +Jklzc5IMKGu9lCQnaH6/4Ot1SbJP+Ll+dwhuSpNkZCFJBurbdBE6SvhDNT9e +3+/V+ijR/LHwWjUfrTFDOPtFu1tjr9b3Cb4mmjs078o9X96UJGuF+5i+TRH+ +AcHtWq8IZ43WH9QYL7qvNiTJsl5JMrYoOrlx7tLeonifJtxazS+WfOf2SJJp +ggdKPsMC0Sz2TJJX6nVW7eknvM+FP140zhOvS7XWrd8HGpNkveD70kmd8LcL +v03fThfOhYLv6Vtf7X1X8AWde7Bov6r1Mfo9UOuNh+nMolmtvc9qbwtn0N63 +qpNktmS4WTJdK9k6BG/Vtxl13jNCZ1soGjM1+jdZlk7hpOIxQDxG63ytzdZ5 +prX1ol0SzZtEsyR+x2l/f8n8mNa3amzSWK/1s6W3DYJt2tMlvntFc0Gz9bJQ +8CHpcnBPn79Kur1Qv7vE+/v6tkw4PxC8U2vz9O2RatOGR2/JvFLrH2t9r2xx +geZfaf1t7T2r5LNxzlbxPkPnHyn4TL3xwJmueUU4uyT/7/TtAsm5UXCtvvfp +aV1vDl6bAvd6jUx89yeGiwWvF/6VGjdWWSebQy8M9tUJ/jXkRmZssEHzmYJb +6j1nHftsrD/0fWOsbwp93l/tdfYc5LMlcLbEb9Zf1rgKfVVZ9s2Bs663eEpX +c0TnaNnifelmV2o52Icdu7Vvts4+QvqbI9wb9fvmausOHbbk1lcl9PCR7P2F +7P6B4CrhfqI9+2SLk7V2Uo39+C/6tkfz1wRPE5yo8YTWHxXvh0V7jWQpSrYl +4ju5ZN7fKlmuW1PbfK1wCoqLl0R/muz0nmQfIpxviM4d4vuK1n+m9UElxwOx +8Efx2yFevxd8SuNNzbcJ3iJ6o4TTKfrrtOehguVEDuSZmlr2dbE+XucZpXm7 +8CdovU3jHq2PKDgHkX/21hoHvtgKe2Ov75bsR8Tu0Zq3BP6YZsuai+cY0W/V +mFhretAdkjjmRsYcnpdpfKl5pWgc5OnSfG21cwF0ThONUzV/KTf+HMXxO+Hb ++PgYwWNEd5FwxjV7fqRkGB56R+czQl5ywr25z7K97Ly4tOTcCA5nAw+bXahx +Qw/Hx/dKzmeL6vyN9XFF58tzah3T0FktGS4vOVaJ0+aydTS22TqbG7kOe18e +OIxbI1+1hL3ROfqbUnBcXyn7TRPe9NQ5ZVHk1d/I9s9LJ78SPELfMuH0Eeyl +M7Zo/Sit18rHnm+wvhq0PlLrR2r9YeFtlB4elIwnSr5jxXdg2bkV3RE74wpe +v0bzG6osy1sag7W3n3gNEvyh6A+Sv95Q43pAXaCu3Rh7qEfUotUlz9+tcrzN +rbJu0Stxd35mGs9JlqNEt4/o9xccktlHjxF8ocHn4SxtUVupsdhxkvS1VXCT +cAdoiEzSrrXpRcvcVes5fn1n0d9YrxKPVdLDsrLjYkT48+2Ct3F+0ZotnrM0 +Lq83Ln7aqr2zqnxOzgVdaLKOrSZr/d6Yn1n0b+Rjfr/Wi6LX1tt+8B99m6i1 +szU+0/xTjUkaLdLrAuF1iOfQXpYDGeol8y+1tqJsPyFOiJEOfR8mvPZ6+05r +rB9Lzmt0fSAmWceWJyg/Hd/TdiCnFzV2ar1UtL44Fz6Or1PXP8pd5y9qdm5A +X+gKO4yLWCBex0Tsd2q0FX2WEYGP7u7JbKflmfGodcQ7sb8v4h89sPcscmaV +cz9+Rc+C71Cv0BO6m6L5/CrnP/IJ54DnZM136twSO1mamcaCoHNTg+sHtWNP +5HbsQp2GHz3VIu3pq/UmwVcz14Chgudr70O9ndO/iPy/Qfj/iHowPHOt2xC1 +b77OOKFofcytcb5GXnwLm2P727VnvX5XgucRNZZ7fczr6IXCtwcn1llX6K1V +Nhzd0zlsadH+jf0vLjjfYFP6rXdDRx83mu+vxetvjaZ3eOr81BI56o5ay4g+ +qS3sZ++nje5D/5A5R+IP5EPOTd1BF4slS6G38+BCzWt6+8zooC300Bk5APod +0ceRq3dGXaA+VKS/lfXW2Tthc2KKfQd7lk3RR+C/81PLMi+1vFfU+8wTo/Zt +iDxQitgnFidFbIJH3JCbuhudy/+c2RfwF/yBWgqckzgO+Ya/kOegSbwQA6zR +09Nv06Ozf4piNdX+08vO09gE/3yyxrWfMxA7xAM2/a9irE5y/EnwxQb3CtSN +F8uOj1WCb9RaR9iJ+tMdtYxcu7/k/DS11jmWekHfsyBiiTqHnc9K3BPNbvB3 +7E/u59v8ZtPpFJzXbPoN4rtEciwuWObdnKXKfIeIznWNthe5iRz1npx4ZcH3 +lBmhJ/SF/leHjOgNfvBFLxui78MfflTjGAVveNRz8Mg/X+dczZdljo1ccGzB +9Qpe9Aat8ZseY5HG8ILr7KjI89xp8CP6XnxzQuQcaiM0Zmt9RcF3MO4TxNWd +4T9A4o1z4kdnRg0i11WC18m5bTAhd+1YFDlwbbN9e02z8VgnDoGVwGmPWIb+ +A5ETkQ19Ew/4LXeRpRHvm8P38NHjcvvTMMH74s7IHbJasbi/l2O6o8HxSWxS +bydFLr1Ktvum4HVl18z24qF+sCV6Quz+9x7uG5Fnd8yXRC9LH7szNc6gsnsU +epX1mWXn3one6VHoVbZkvpO2RU/YI3ef+JPMOZ5+A9kGpIb/anT/wfoxgnW5 +82iN+sO+qWPro0afibPxe1joZERu38WHyRvcG5AfH347tfw7UvscvkeN74g7 +5tzUMo6Pnrl/9CoDU/ODz5Gp5UPOozXf3ei+oKT5VvG+BFsJViKO0BW1gH7j +nMR+hr+RZ0fFfFZi3CWBj4xLIga5p95eOESDOff2oVGzhlFvc+ePR4M/tYE8 +BM1K6AHcx2tdC/sJb5tofKi9fXLnzjc0T3PfqZ/UPMudjy9KnVfxEXyjPe4P +nHlI6lpDzSFH0autjvryRtQY8jN1FH557jp8Reqz74h3j7sy93RVuWsg/QP+ +8XTm79SlVRED5Gni8PHgNTbyD+8eizPX0l2Nrqvro1fsmVvHhSbzYO024R6u +udw/+bHmL5XdB/HOsTP6DOyN/qhp/OY9gFglTqdHH0WuID9wdmKWt419oave +uXNMUTSvyv2ucbXgEeK1kJ41N25X4AP3RW92S+p7A28k2A85kKFP3AX6pT5j +R8G9xN1Nfnfqzl0/qQuLow7Sp6L3AYHP+YE3x17yK3O+fxU9Fb3VrIL7FXQ0 +PL5jF3AHRg8Dn6nBi1xEvHNmbIuNv767Fd1Hfh57O4JWS+DMijzDexZxSk4e +GeunR229uuzzzizYxsiFfKwta7Le98YdiBjjXQhccJAf/tRvajd3vkvjfkI8 +EWPEFDmMOCNOT8ldV3lbIpdRS4iH4wKHfJQ0Oa/TZ3WELOgWnjPj95shD36M +7/B+SP6dELXjVMH3G6OXz12j6CnxMXyEOTkBuCDW6aGIsS+jX6JvZg5cE/Nt +8YbwTOY3BezxXObcBh5nas9Ns2/ZPl6J/EPvS99GPebdYuFBGapcT+jvyFsr +Ine9Fm8mr2e+v9KndUeuezPe6XgDRfcl6eyR1H1WXZNrF36Dz2C7FVGL8Y37 +oq7RY/y04D0fNrqv2ZJbJ50hG7mBHAEPYhFfIh7JDStjL3V/ZbyvPpXanuS5 +J1L77wup+3v63RGZa8GaeEf9IN6O/pkZD/yTcsckMkyKu11W7Zq2Knq5t8k9 +Db7vdcQ3/Bn/mRc97aLUa+zFN+hnT4p7B2+U+NwvorYSJ9SmzZl1T27rjl60 +Ev6wK3poegW+cXb0sTP6CnIn9YD8Sf+6P96ZuTfSa5DTfps5Dj5p9B2JeCtn +ljGNc5SiNydf0l/Oi3cC6jbfqQ3cvemNlpcdN8/Hveim2M9e7lO8J/Luxz1j +Xdw1eMOjl8XevFeQ6ytRN/Ebcksl7lZLMr+hkOueJnc2+T2M9+nOuAN8fbfo +4foIX97gx0QPyWgN3wCOCfrt0aNR7+hj2Ys89HKca3DoeGzsBY4LmrvjPZl3 +5dHRr0KT98SJURP5v8G4OBe46J9cwLnPiHet8XFHwu6jcvMnDrDj1qjpk6Nv +xKe5G7XH/ejbqWOLWkQvCQ/OU26yHP8TnR5N5kke4nyXxBnPizglXg9rsg7o +d3jf5J3z5bLtRbyg60rc58gTm+MduhS99uiI8eXxPnB3ZrmRn9p0Rua8xlvg +wViixwLSGxMXU5v8vsc7Xx73gubMde9A7SFfPhCxgK9+Gnvp/z+Lt5dHM9eH +f8f7C29T3FH3ZI45eiLyDbmCnLE8dz+zLLfMeyI2uyLvkHOezWzbz0Rze+Yz +0e/Qr2yO+EJ27oT0dW/FOzs+zzsdfL6T+n5BraXOIu8DkRN41yM/boo3s51x +j6aOgo8fTov/42wT/HnmHEPvPDz3vZP/wzwWPkPs/x8T6F87 + "]], + PolygonBox[CompressedData[" +1:eJwtlmlslGUQxx/YtrTd7i7dfd9doHKUFspZCgJWkQgmfOEUikpARDHcyiVK +W64CpQVFCohyaSIgJETFgFyhXFEgICC2ClLAgBiU4AfFUApfiL+/w4fJO/PM ++c7MM/Nkj58xYnpj59xBIAmoijv3UxPnVgJvg7fznXs6xbl18O5mOvcpdEfo +ftCfgH8LLAO/zNl34IfQ2Zjq3G6M7fGc6wtdhK0GZJ4F75VwLi/oXCX0P9ir +yXBuAd/JfAvTnRuBjdnYKg44N9w3GcnWwLuPfl7EuVLOrsGfiM40ziqxXwJd +hHwt9hdGzIZsHQHK0b8IfRR8KbpvAnOg5xHjXvRHE++MZOfmE++aqPl6iM31 +8CZzthX90fCneBbrvEzzrZjHYrMyw3K2Gvn9wFjs+cg3R3419n5U7PA/hlfB +2Rx4vTm7Db065twm4ijARyNkexJ/e/Iznf95Al4P6LbQk6Bj0LvReRH7p0PO +1cHLCXMOXoG9ccAXxDMEW6f5vy/BWzR1bmfEeC9jJ8FZG3g5yDj85UH3gd4F +mQmdinw18ouQH4j8n/APw/sXmdvgiz2rpf5hCfgBzvJVL872g28npg0ZlhPl +5hRwNcV6KBe8JTqDkG2Gfivwp/ifu9DDyE8heBW+K4Gh0D3SnNuHThd05yKz +Fzymf4JG1D2iDvOBU9Ih3kn4PIzNYdheDr8a/BFnd4B+2Kvj7JhntfwI/Ch4 +c/53B/qj0H+J/+2A4b7w+iPfUXcBf19D38Lnz+CJhMU6j7N4wu6I7sp4+APg +d46b7q/wO4E3oz6HsL8w3XzUUMNL1PsXoBa8GplN1HOPelG5ha5FbiuxvIH9 +bmGLUbG9xflh+JuR/wb5RcifVb+nWM53JKzH1GsXkK2insM9u4slxPMC+DNx +y43uZB/wMZ7lQjl7BXwF/rLwNwp/g4A6ZHYkWc9dAe8Ztp5SL83Cx3XOPoM/ +BP6NuPViWlPTVU+WRi036gH1Qgq8JKAr/AXovU7MVeBbiKGBWs4mVxdCVnv1 +hXohAF3vrCcmQx/PsFrOCViOlKuHwFLlC2gNngs/mXjGQ28J2h2sh35VMwC9 +MuIZ59sd013rgEzvhJ2JV46fSwnrrV5h+1f1mO5GQdhqoTtSyL8sD9tdmQDs +hC4O2Wx5HnoU8u2BCRn2DzPx9xzfPHxk4Ss1andHPR4ivhWc7QLHtFsOvhHd +MyHLv+pQ5FmvlMIfAZ4WtdrqDkbiVru0sM0X1VC9lwSdn2492AL/S8njEmAC +8mUhy7lyrZ76wbdaaCZc0KyIWW6elH/kF5OTB0HLqXI7VfMYG/PRLSOPUyJW +I9XmnYDtDO2O3+ivq8R7GbgOfgT7m7Ef9Gz2qYcywLNjJnsDuAL9N/oV8Nsp +BvyNSdi/nSeft8BP+rZ7JHPCtxgVq3ZMa2y1xcZgeFnYywH/w7dZ9v+dBn9A +rOlh2z3qyXMxy4PycRa8GP/X8bUoYDXU7ukQsVmjHRRCpgG9VcA44smAHhyw +szLoIPTAgOV8IrGlRG13evgYDC8YtVmiGaBZsJaY9hEfqm6Nb77PZVhuFUMT +5Ps728FB5Bt7Nsu1QwLgZ2I2e9Qr34PX+ja7tMNqNDt9671t8NfDP6v7mmm9 +qz14BccrIzZjNGv+ClkPyt597mQIelPE8HrgTsjOhN8D4tjMxlY++p/HbWdp +d7XhrADbzaBzgibTHfo93/5VPf++bzVX7W8CbWO2g7WLNRPXRq1n1bvlQHP4 +LWPWG93xtz1uNVAtNFNeAz/A2UBnO/kgeHrU7o7eKHqr6M2gt4PeAyPB7+G/ +PtlqptqdTBgvW3dEs9azt0JmI+YX+AlqU0z/dAraHbuITG7EZrJmc0nIZolm +iu5It7jpDiD+AvD8uOGKsSt4CbZGhmx2dA6a7YaI4fLRmRj7Y6sa+VjUcqxc +642QiNmu2xCxWmjn7fLtLTAU+a/AZ+r9ErLZqxhX+bZL9SaoAm/n2V3RGyLX +s7fUu8iXJtmbqjzxeNYGbJZm4TM3aHe6DvnzyH4QsTukHtIbTm85zYwl6N70 +7a2hf/hd+p69lfQmaAG+jWC6pNoM97DdxrO3gu5wa/APfZvtuiPrfOth9bJq +Vgi+jLM0Z2+ECu3uuO0m7fRk8jWX+GZFbDaVPt7B2sV6Q05F9l7cdqd6VL2q +GaVZpZ1dhP60mN1dzfCp6u249aJyoFz4Met1/YP+RT2p3tSbrhW84769RfVm +PgZ+zbNe18zQ7PgPn2p/Mg== + "]], + PolygonBox[{{6087, 4362, 3530, 2138, 5813}}]}]}, { + EdgeForm[], + GrayLevel[0.40378189534205744`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmXm0V1UVx+8b7u/3pt/7Pe67v4tZGWAuh0IZnMERNS1UQCUVNMUnmvBE +0hxWDsBaUloKpiCuTBFwChBUwBRJLUsl5lgtK0DEIUtXoqUNhPb98N0s++P+ +zvmde84+++yz93cPt/eYCSMur0+SZIV+GtReUSTJQepvzpPkts4kuacxSW5X +OyhNkiP0jErcHqnnXPVnqz1Kzzj1325Okrf0jNPzkMaO1XO5xueoPVrPePXn +qT1GT7f6R/ZMku+VRLOWJMfnpvntLEleb0mSxaJxnPhoL3lv9r2oKUk+1VhW +lyQLxNf7ielP1txJej5Uf6LWv6/3p4jeg23aT89QPRzuPTUT9NQ1eA7/X6vz +eThLb9Ho1WxZLFA7X0+mpyoeBmvOZZqzULQW6Jmm5wnt8bjGn5HMvime14un +HVp7qMa21JlmP/U3qX92yI39OMtA9Terfw5y0Pk/0bo/ifc/1bm/TeM3if53 +NO9Z6GvONeLjbLW91V6rOS9q7t1qvxD7PaD9f6D/69XfO/d4H7XvNZmv32v8 +pHKSvKLx/9Z77n/0bErc7oj+pKBxkPptDZ67Vf3DtfdO9Y9Qe6ZontHk/z9p +9JqVdeaLto/mP6zx22LfCySf72rfsuj119i/NbZdc7ol3/F6BmjsVc2ZoOdA +9a9MfXbmzmlzy3zufFm97z3Xuk49x+r/Xjrn5zT/i2rbJJ9DUst2aqvpztac +mfWeg9xvSK1f7Ls88/sJ0vN/6d3Seutnd+hgrrH21OfhLCN17nXxf7j6K9V/ +UP1p6i+WfOerP139x8vW0ydS6wl0h9bM73cKy4L9/6693tTTN+S8RHOfTH3O +7aKxQTQaNXdWp/e5R+1vOz2+Sm2rzjsgDR3T+furf5HO1KLxg9T/Zuhh/+ij +j/2iz7p+sbai+YeHLRwjOoepf0lmfT4s5LlNfB+o/oUan5X5rqaIh7E678V6 ++rKmyf+ZV5dZP6Z3mvahQb+Q7e/UvfRUe5fe3a85Mzqtx4fGXoPFw8HqX5z5 +zgYGn9ztwJhDe3CMc9a+u88ovvbQs0L9UoNljZyx6bTBWHFiNUme7yHepF9v +tBh3jgs7xAYHFNavrS2+s9crSfKC5i9qtr68Grq6UXf6Z8nud2oP0Zp60R9S +850N0/01qP2czlJwp3o/Uvt+2mYbH1+YFjqITrDPEZLJ+aJ9c4v5RIfQJXT/ +UfUfU//jOtvKpBbjIXxMiD5jV0T/xtRn41zLxPcn6t+l/hN6FpaN29M0XtG8 +eaK9pN70wWpwDrzD7p4Wf3didwWK4jPA/5Nq+7d774915n6ac09m+f+j5Dt4 +XrQ/Ur9L7al69hH9WxKf7+o2Y+yWzLh8bM3Yyt5g9Ts10/lzzVi+WM9cPWt0 +D33aLSfu8KSq75Fz7SX6H+nsr2W+C+7kZO3bu+zzTY9zsU9V73ppvDnzu14h +W7Cqrmz7rBSm2aQ568TLl8re5znNeUf/L0jtO0qhY480WrYfBZYsKhtPpjTb +V8ETuoFecKfYATbP/6/nlgPywGfVhd/aKDodehYnvtuxwrUxsrHTdO7VPezr +wJ8Hw+c+kno9MkRfJ7baR3Zpzm9T+1Ec/wrx2IQfFc2vlY334BDtLizKjUXL +JYNhss+Kxl/PvJ4+OnZCzTa1Fd9b9tk414TwUXqdnNdiW+Dd50t+x957in5P +0f+82nbp1UDOIl6v03OVniXNbhlbqv46vT+9aj3oW9ifHViYJ/g5SpsdXniv +wwpjMZgMroOn9JHPzxp9L/+ss65hX8jqAK0Zov5X1F4ZfMDDl8TfnuKzl9pB +enem5hypdpt4HtDDtgVOnNFqG+Z+roy1b2pOf815Wv21alf1sA7v1Wb/hP2v +Tk0THfqy9vgidqK2d7t1HT1Hvsj5eJ1xbWG7+mXu2ASdIz75UZN1j/8z6o31 +4CH+E3+K351V7zgEHP5Y8+5MrQPEElsiJjlXe1ynezpH7QbxvV7P6U3GjitS +6wj+dHPENoNq1olN4vEB8XS/5sxWu1I07on9kN/dsWZKbhubnBsXLk6N1ejC +zOAbzGCc9+DxzoiLDs3tW/BFR9es55szYzw0sdmrQl+QP7KcFWcjlpkRfnau +6Dygd3PUvqG9zlN/dGobx77BAXADXEBP1mr8yXrbNXK+P+JeMK4r+L9ctC5U +f2rcVX34Gmwb/cMuTolYAJ3cJaegA46wFhtfGBjDXujjjojVNouHEZozXE+q +PU4TH4sK6/LS4POxwDn4v63JZwTPwSv2mIsfEZ8P4xsKY9iF8Q6MuSB4mNXo +WI448L5Gx4SDE+tdV8yZmPuObhUvH5TNV0O946sbI8ZaHvyC+RPTzzDmzkZj +AFeIbfy82fEiPpz7QW/fbXLMtUX96aGD9Lmn8+IsH5b9v6Xe2Agugksr4j5n +as5luedPFp/z5V8nCUPWqJ3RaIwiXl2t9aOCDs/ooI8fuCH06tu551yaG0uW +xT0+Jd5GBG9/KxtP8JvERMR2nOeRmuP7kZnlt0fg+dm5/eK1Gn9RY8NChkPD +XyK3qcLeu8Tr99WOzj1nlNq5qXMq/Ms7hfmcit3pbHvrjB/2tM0ib/i4vclr +mD8meBup58HdtHJjE74Rv7Ou2XkCeQHxPmfEBicUzkfIS24RTzPF261ql6bm ++/rEZxge8l8UORqx9Hm5dfj6zO9HxJxdthi6OlJ0vyv6Z6ndWLIcoHtW2XYO +Tr6c2iZ25zy06Gei+W2pc5L9pQ+NqfOSffCz4Xv+XrJP3SPsBFvDBrE3bBws +RTeZi35iB9DDFvD/e4V9vhg5D/qzVucb1uQY/ZzAz4mF7w1dr0VswB7QJ0cl +D71Ccti/bL1aHX6eFt3DvjknuR37cBZ4IeYm5jtdbVXnam/xXcHPjNirQzQX +luznH605fiOOAyPAB+RMTNQr8KKh5PwI/CV3J+7EV4IhYAqxJ3k8vpO15P2M +ITdyenxtd+gYeMS8zZGj4lOwY+x7S+Qg7IPvIB8lNgaX15ec1+Cn1qb2Negv +WH5X6HB/nfWV0md+DP9CTg1Gro8crbHk/He3T2Mu/m5lp+e80mmbZE9wBv1F +btzjjtR3Vgsd4O7wj3W6rwa9O00ybMh9F/W5dRRd7S6MmcyBzqep6yfozA4R +eDa1faOr98X46sAa7nqHeNqp8a+L/s7UPEGnruT8CN1GxuBNd+jkrJhD7IM+ +gHu7cRyap7Yah28IXmbFvi3ip1nPM6nxE76wwVWF8XpF7rGGGN+3bMxhbGVh +O1+mOR91OoYYkllOH4esftRsneWs/cqO4ckJ0Bfsbbff3BgYyD2gA+jFw7nj +2Idy2xy2vFtmrWnwn7s/Qvu25Z7TmtsOyGWQVSV3/8zMd04Oj258tex8jb3X +FPaLL2hun2bHYWAL8r4vZL66sC95XnP2V/94rd+vsL7sDD15u/SZ7VJDGhq4 +jQ1gb9gLsTG+Ad0erTmjmu0zTxXWXtPmXHNcrCWPQF/2jbt5Se+/1cO1rD2F +6yvbvG5hzTHWY9EOaLE9EDNQk8ImsCfib2LvGaIxqOq8Czw+P3JMajBvx/7U +4agFnBv3uCbuEtvFR2O/b8V88Jyxp2J8Wc3x01Nql9QcMy1Vu7UwndcKYyRY +Sb7J+0NajLnQaW4xLeI2bB57R1boKnU58oBl8e5eneODitdAb1rQXJ5br58N +veAM6A9xINgxK/BkWWAKsW018LOtI0n+WnXOTJ0N/wHukrPgP/AH6BR6xl6s +oY+e0FZj/KXcdaH+hWMWYpdTEvMIr/iISVEvRYaDI34mjj4mYlpi29niZZXO +OEo0jov8mjz7rZp92Ns159FZ1D9HRQ0T3UOnyEnQq/6iM7WH663oeJ+ocxJ/ +Esvil9A3cAo8Ip/tEzkt+MD4i6HbvEM/0dNe0e8T49DkfjdErHZq6HUWtTpq +dv3CZyM75IbM1sfdUWeifoe/YD3jm0LfkBdxxbiQG33eb4i1C2KPfnGn62It +uS96znpqRdTL8DvUw6iRgf9LC8v4pZ7OU/Af+A7sojvuiFi2O2qVFysv+0vV +NSN0Df0EK2/OjCfgCmMtobeXZ/aRX8tdDyNGAdu6M/vUkzQ+PrNPPZH4KHee +cEbkx/hm/OVvNGeV/vcQ/YN1nydWXNO5JjMmg83kmndXHVPfofe3tduX/lBt +a4d9AnkqukCuulZjP63Yh4Fn+D9UcKrGplZdi71F/Wnt9iU/0djMqu0UDP40 +MBleqh3mZ5HmDu9wfsv/teHHqYGsivgQ2aCLyAfaPTtMn28PfIP4Ru79rw4e +8Ks7w7f+vjAd5EF8Q5yDr8Y28ZfoFefu6PDe1Gqp2YJhw3LndcPxM5ozr935 +4q+kq9dVPW9qzTRvVvtrjd9Udfz0O+lHH/VfVrtRzxT1F/R0LL0k8Iq8b37o +ITHzHZEbZPFNATulXRBzOqPPe3zD3yJ32OUDU8dgIwJDwFjOPSXqSIzdEdjC +/8lB/3uZ/Tj+fFLUnZD5LZnzN+oHjE2Jce6hJeIBvr0s+j+dXxz9x8N/kcMS +k+IHib+piW6teA0+Fd+KH7wkak3kF+t1D3Mqjonfkcy62o1NazR+X8W5BH5q +e/hHfOX2qBeRI3wQNcNd+wcPQ7R2brvrLOATOAV2DdTYgHbngttjPjT5DkI+ +CSZgm9BsiDyPtTMDc96NPG5C5jj4ZOnJzyWv8zX+VOE75fsHMr+/4jPAP/UV +4lf2Wqex1R2u8XAP5O2c49LMdfBjwz+cGd9QuMMzgib6ChYR+z5QseyQ2zzp +2d2iN1o6OSZzvfuwyEe3lXx2cvFfpq5F3FuxbWPX5N3U+Mi9uzLX/Y/U2rGZ +6+lH5a7Zc2fcF/xMD70l7ttUsqzQ84siv+6KPvPBHvI0fAK4xTePpeELhkdO +NFn3fn7Vts3Zh8d50ZGuoPNm5Mz0d4b9bIscAfkTI7JnV3wLHBs1tjHx/WFs +rGXOmOhTT+Ad8f6GyNHwFwcXrpM+H5i6NHAJeXFv1OWQF3VR6kZJ5pigJ364 +8PhBai/L/I1ySO44CdvAv7HmlchrkAXfgIgFz4rvfNQDqB9QXyWmpyY9Pert +5N7Togb+x8yy4PvbwMLyejl3TZa1rZn1CJkiz096OF7p1PzBhXPmowp/p4SH +lszfp6j/QJ+7xe6532k158i315yX7xd2Qf2KGjX8su6RWEs8xHzyTmpIfcuO +58lrh0YNYdd3sDgXNZgDys5NqD3topX7m8DyiJmJpcmHiafnRb0fOshmTtAZ +Gt92GScOIqYHe9CpYaFXkzLH7atDBnyDpHYwLnPN9ITceS357fioP9B/NOr3 +xEXkKdR336g4XiTmHf9/eIgckcMgvb+g6jrrgIgbiItma3xDh/3t3IrjMPwu +9kq8hc0uqDmfnV8z76cH/70iR8A/cg5qlGDVH6lRa/wPan+Rm85zueNa6JAT +vxt0wDrqOuTk5CKMvxc1NTBwdOQg5AnvxXzyJOjjM/GHP67YJ6J3l8R3vRty +Y8qNUUdEDtQLeDc2vgNSA2Df7ogVx4Wvwa/xrYJcFn3BH6Ez1NMYx9+tr1kP +NtQsy3Ehz+tz4+KSwnpErIUucYZREffSjg65ob/IDh3+Hza1bsE= + "]], + PolygonBox[CompressedData[" +1:eJwtl3l0V9URx28Cv4QkvyW8vN8LskmwnIqVJSwKCcgSBTcQcWlPU6lacWmV +QK2iBxfoOaSFqtgiCCKC7LiBsrUFhNolIUBZansqsgkqaHuO9rTYnirQz7ff +/DHnzbyZO3fuzNyZuVV3NoyfVBhCKCoIoS3f5jiE3akQegOXga8AloO/AnNx +RQiPRCGMgX63KISt+RCez4WQy4Twy5IQfgVsQP4t+NcA48Ebkb8D/DTyf0Z+ +BTr+zV5v8u8t+M+1D6EjOsakQ4hYXxq18lLW9Tb0ipRtWAl9A+t7Y3CmTQjj +wLvBn1QawhT4j8OvzoawDX3T+dcA/ALbHoF+mjX7kanEhips+R02JOCbE778 +n9COM4CXlYcwizVP8G9MWQi/QecO8EuKQ2hhr3rWTGP989i7ojKEw3x/D8xF +//vofAf5ncj3Qn438ouxpw6dD6LrbmAuNr+EL5cAz4HvRGYN8quBtawN6D8P +XgaUQneGfzvnuAV9Q7DvI86yIeez/RV4Ch0L0LUQeBp8BmseSnmN1j4GjIc+ +gs1N6G6E/zh0Afqmgz/LmkWsbcH2OeDLsXc09j5aZpt/xl6/Tdt3t+KjNbFt +fU1nQH4V9EroV6Ffgt7BfqtS/rca3nboZeAvK4bQn6BvHrCeWH+Ajd3Zrz3+ +ngk+ARjB3lVZ41PKnFsvIl9S6hybho5e+Hoy+h4Df5/86QGvE+c7B/4P5Bch +v6XEa+qRGYfs1zlvHv81EbN6zrEHuc/BJyB7hPN9xvn7oPcEOpqRH4tMCttv +LLfP5etG7OnEv9vAD3Le3Zz3U+Srobuw5mvs9TfoftAt2PM6/p6N/ER4Z6A/ +gd4E7AM/w35dwN/IW/YY9Cvgy2L7ai36X0R/Ges3QG8ENsnX/PtPQes/6FPs +twt8FOfrxfkq8vbFdmQi8GbO2B37JyH3B/D3Kh1TxfJN5G8Hb8QXD6KjmvOX +c96lOftoH//Op53jyu0TpOcO9tzG/xPscQ94DvmfZyx7jnPPxL65ym2gEbw/ ++56Av5l4rMR/51hzFtk2ykHwnyIzD9n5wKwKn1FnPYuuBFs3Jo617NkEPh99 +p7HvOPyp2PVE7LuvnFBu7MWedVnHqiv8bfz7NfzD2Ptt8BmKH/RJ6L34Z5fW +pCyzVTj8d1KO2RTojtDfZK86/HsJ+98a2Re672tZPzly7hRQj65FfjFn3V/u +vR9ij/vg16BrMDBC9RTbshn74kfA3znPwFLnxEb0fYXMlzo//vgSf2zh3354 +X7BHV/AtiWuVYv7/2CNzoK1tlK3rgLnwvuDfGXiR7EFuveoVcCnrv8L20Zyn +L3ifxLhqqGrpDfh2H/LL017TGXuOsPcF6OwK/idsOIU9l7KmQ2Ifypfb4U9n +/S5i1sz6i9DTAn6S/Qe0d24oB3QHdReVQ2/HzlHl6uvoaASfmTdejkxh4j20 +1z/591HeNVi1WDH8PusT+D2hP4Z/IO+cVG7Ww78vdg1WLVYPmgTdDH1xsWvi +bdBDE9fWIuI3GLxL7LO2Qcdp7K6CPop9nfl3EXgT63sUuwd+C3p43rEPwDDw +oXn3pvP4eAj4fGLwFOdOI59G/jB7zNFdID4L4E1KnEtT2a8hcU1WbVYN/zF4 +IdAWvCf+O4o9lZW+G23Y4zLk1yWuVS+j7w35Fvgv+kaioyd499i2t1X9Yf3F +iXmqcap1g9E3vNA9rQZ8PzaXFzrG74KPIo67kVtGLjwL7G3vnFIurQTqK90n +1VNOJ+7x6vXqmTPx1fGMa7pq+boS1xzVntXYuz5xD1Yv3siaOXnPGJo1rmD9 +A6z/lP0nZt0rTpa6x6jXDFM84X+cd250wOYP8/aJfDOOMw5K3Ps/zHg20Qzw +Xewfm7Pt16fdw9TLhqOvAX29E9dS3RHdlSeRXZJxfBSnEsW3yHd6JL4thi6D +HgA9BPobiWuFYqBY3BF5luoFDIxd01Xbh0LfH7nXrsy6FqjnHoRennE8boJe +hPwa5Icg/wPkL098NvUg9aIi9i9Ftlo1Jvbs0x99k0s9A92MTCblnFPulcXO +xcCa4/jic3xwVc6xnQN8L7KuvsAgZPe0yoinmvAC9mRTrjkt4B2U0wWeoS4A +nxjZF/2BWuhn8o6terR6dQ023FzsmqvaO5u9Q8a9ZXw73zndvUr4HXUXdL+K +fIZMbJtlu2aWgsi5WZtx71KOKseV6x2RvzD2ndbd1p61iWePDzLORc0g98in +mnWBK5CvAfqlHFPFti5yLVVPU2+7HH6flH0u32um0my1lX/TIvcY9RrNHN9R +PNjzh+BHse0Qd6UO+ULsSQFXgh/Mu3bpzunuaSbQbNAVezOsXYatM3KeTR5F +biF79AWPsX2/5kH186zvoO5iu8hrLwSy8NsDe1Le81jkHqJe0g1+Dl45UAV+ +NTLjsPcY9B9LXLNUu35S4V6unqTe1I716SL7bJjme/x9Xc7zsHJ2ZN5nk40j +5JvItVEz7oDENsk29bTN8CvJ93S577Zm7m3IL+W7RDNj7BxULiomd0W+Q7pL +isGd0Ntj+141WbV5M/SmlM/8F/bqFDuXlKPK1YdzjoVioplnZ+zepZ6g3tAv +65lds7ru0GBsPMtZzgE1efdw9fJa9Z/IOaPcGQTcCz0/55xWLmsGrcaGlpR1 +HNLZYp9Nd1p3e0riuCq+k8EfSDw3LIW+P/Ed0l0aCNzN+ruwbWnGtUEz0J4K +z6IHWLMKvCRybBVTxVY9Q71Db54A75kKvxX0xtBbY1TsWqsZXbP6lbFrTQ75 +MvijY9davcH0FusW+25pJtBsoBquWl7HWQ+Bv5cYV41QraiL7ass+krRdzhy +b9Qbs3/iN4feHupxbZAdG3k21JtGb5trI89CmhE1K7akPQNq9tObsUfs2Vs9 +Wr1ab4l58B9O+01xVexau7Q1t/oljqVmuFuga3N+g+rtqTXqoeqlugPHE/cU +9ZZ/aR7Ie4bXLK833izW3xT7rauZXLP5+MhvN73x9NbT26Kptdd81jrja9bf +hY7XwF/NG9cbQm+JhgrHXm/cBeiaV+G3omqgauHsCs/KmqE1S6sGqBaoh18P +/8bYd1lvbL21r4udW9p7CvqGx85V9TD1sqGxc0t3Wnf76ti9UG84veVO5X32 +vuRTp8Rvfr39dcemRs455Z7u05OsXVjh2UY53wR9b+xZTDOaZrX/Ack+LfA= + + "]], + + PolygonBox[{{6086, 4462, 3484, 1653, 5462}, {5464, 1655, + 3486, 3968, 6059}, {5468, 3223, 3915, 4552, 6089}, {6060, + 3970, 3489, 1657, 5466}}]}]}, { + EdgeForm[], + GrayLevel[0.4948678859352736], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmgmUVdWVhm+9gqpXBVVF3XffKyUiLdoxiZq0cYigJnHoRBAZJAwFxaCd +qK0MymDSCjEGnNDYS8VW0BhBo6LI2ElspIBikhiNdrK0u8OggFCAQBDQyCD2 +//FvllmLy9nv3H33OWfPe5865doxV4/OJUlyQXmS6F/yqv5brOe8siTZ1T5J +NnVIksfaJclk/Z6i51+Es7/cv4HBfVjwFYL/UOH5HwreVJkk71f63e2lJHlU +8CSND+l5T/BfNS6tSpJmPROEM7MuSXI1SdKqb3s0GAfc5zV/Ym2SNFYnycY2 +3kNXPX8Sbqf6JLlS34/Vs0Nz/6pvh+rZKbhJ4y8LOoPgZ7MkuSQLnDRJbuAM +gq/X+ETB+E/r/VCdc5SeFq09TO8+LDO9JwuGZwlneGKavGft0cJfJfwderer +bZLs1tii+eV6uuSTZKH2+b54uFI4I8XoJfpWYHKr4BWCTxF8k+BXBevTZKbW +2id4jn5sEeKc4Oesgvc8V/Pb8v6ebz8umO681LRH5UzncMHwEf3YJxl9pKe/ +njO137sl10mCN0FLe96aGXdl7OEOwW8L/rrgS4o6q+R6adH72axnmt7dLZy3 +NF4onIv0bpBwLtb4bIPpDxF8j3DeCZyfCl4bNEfo2V1mXv5Y878PPnxH3wwR +ne9q/FZq3RmhczxVMP5z2twh8fWgnul6rtM3H2n+RxqnFbznRzQ+XvC666U/ +/6VzrhbN/qwrmh9o/pui8zutO1zzkzS/TPycJXpLNV4AT9Dt1HjgD0+9HvA1 +wj9P81uBNf+eni7iSb3Waik3zT3wLbVMp+gsRzOfc6r2lRTN3wcFzyiah32F +m4d3mr9YuHu0jzWis0Xo3SsNb0o8vhbzreXWt4vKLGPkd0/B8tkaPAF/dXy7 +Sziz9M03hDO7aDoDtO6hgnVpYepvODt8vVD4rdBJbRNNYRePyhZPqvdv7Gd7 +me1pXLXtBxy+bw37wj6GhY1M1DihnW3+6YJl92JmvH2x7gLt7Q3tbZ7GXwln +j+ZfyLwefmhFpW1yU9hgZ637uOZP1ni7xkl6MsHFaq/HWlPiHfPo3JYy6+A3 +MsNDU9PaHDp5ZmZ4iOa/mnmtRsHfznze61P7l/fDP3w5MzxQ87ul+yfjl7RW +pc7wjHjbLbNt/Thstiz0Ab0YIryS9tYo2Zwl2xmosV7nPq3BdtZeY5cG2wI2 +0V+8OVJtmW4QjRP1LBV8knAuFM5Zwvmtvk/Rh9Q+Fl7Ah/dEu1lPk/De1fuO +ehbAc+G3F/xz4T8tPT5N+tdJ9C5IvQf2ckR+rE+9+d2g/Z6ATojWlzR21DNc +8FTJZot0cqLgWn3zsmi2iMZfxZPv69ue+vZB+fCz9TToOU/vHhL9SVp/qnix +TnPvFsyPhqB/QOt+r95n+Ez7OqKnnejOEV5bjZNEI9HZPtd8vX5Pr/d6rNVZ +unpyrXm8UnHkS4IHV9sm8AvwsLnOMYb48kTOckS2T+asA+jF9rx9C35sQ6V9 +C/FuRs66gQ78MmddQn/+sYP1AB34mdb8XPTH6Wydar0P9rA+b3+Nvy3X/nNV +luVafbdKOOcKZ0nBMrpfZzwo/E/1tNHvpgr7GvzMmBqvAf1E6+6vs0xeEd7n +ZfZvt+r9vjrLab9o7NNzVO9mF4zzb6J/u3AuEO+6CWdpzu+nJrYr5vAdZ2Xm +S3nRvOHMnPefMsNtiubBUznb1zmZ4baa3ya9ulHw4cw2ih5lYbvdwn75zTiz +3L72Vzn728nV5tkOwXdWW57A1Zl9KT61SXM/17NbP2Eq8eY3OteOvGHiDnHm +joA35x134f+BguG5wt+Q9z6J0egEfm1b4vXvjHWROXxAN/Br46udtyCzKbEH +7G1y4A8r9/6YPz2zni1OrWvoEPozvo3lhh29k7MuY5v8PrGdabyVs10/m9g2 +Pi6331ids148pvn7Kx3jie/9ZIOna/xEaz2jMx7QevPx69KZrpL1Lu2xW4Px +u2pck7MfgM6ynO0LHfhjzjbHulWZY/8rormx0jB2gX3cE3BNZrisaFt5IGd7 +YT3sEp8Ez84Jvm3X79bI476WmSc5fbtf++xbb31BtucGD9dU2rZWa6wQ3izh +f0vfVQn+teDvCm4n+AXBlwteIR4cKbfN3J6aV6/pfc/UOcmjgu9KzfN3BP8s +9XnfFHw4vu2GzafO2X5RtM/Cd52vuftS2+4Oza9q62/AZz1gbLBP6lhPzGcN +1rpbcwvD9+KDV+j3XMFXER9S2+CrRcdmYvSMzDqKrj4m+PeS2UT5gibhrNT8 +PM330vwqwfMF9xZ8Rup8+TPhpFpjkPZzRoN/Mz9f423oivRve+K8oFOlc4x5 +EYsXaRycWu+Jh73a2I/jw5+UXdfKZupEs2el87edifMe8p9LU8uKXBl5wRP8 +182J40Aj+YrgAeW2JfRhpGjeK3iUxptLjiu3lBwboQHudalzDPIU5Iccr8KP +6d1Y0R1Sbv/xYIV9SHP4Unwq9oBdnKw9Lyk3zvllHv894KbUPo5cgHwWPmNT +xI1+kVNRB8ED9r82tR0uzxzDiGUfaPxdxGJicq/gGXxeUXLeuVzjFr0bQl4q +GiMrbMMF/f6b6H+q58PE+/yk3LylrqK+eihwmL9W8/+d+cznavxTZh0cVbT+ +PlTh33sKjv8fauxd5XyR+oL8ArrYKXqMPk/Vfl5LHQ+aRW9e3uuxn9cy2/V0 +0WkWzmzB38t8vhPijJyPnJq67caiedtd5x0R5xqqZ4Le3VbhnIEYdmuF9RHf +8l74F/D+Fmf8v4Lp/aXgXOZQuXkztMJ6RUwkf0JXfloyzvo2PjN1DI59aOj4 +fZXWl5XBH/zEMp3lJfyVztJMjM5blqszx9RTRHOJcJ4X/M+Z/SB77N7gXIec +p2fm2EPceSqzXJHvZsH3Z66tv5Lav+Bn7hT8tdR616PkvTwc8toQdTSyHpY6 +vpK3Yq+9gs81ecuR/B1/gw9irx9UumYjh2P8IOrJh0vWn1O15zEl82G0xpcj +p5oTdcSW0I27C85V7tI4WPu6EjrCqyk6ZszV/LRK1/jwnTxzWtgpPQF8CL6G +98w3hV/Dv/2EmiyzX8I/sT++Yd0R2G7I9PKi4cuKrrd4Rw03OfChT+01IvD/ +kDqOrshsA/DyTM31lc4PFM5MvRubugahFukhvEvFt5tT17LgYNcL8s5pL9Oz +KG/dwTYHRfwm919Y9L4v1lzPom347ZLrbuprZE++jH4Tt9+MPBk7Yv8D4rzU +ZuRZ/Rucx5PPt4hO30rrLuci9yL3OCNzXkV+dbbgySXr8YUF52HkY1/PHIOJ +xY8WvD/2WSn61Zp/TvOXZT5rj0rzhNqCmhP/RgwmFn9FOBNLlhv+40C5bRz/ +h41uDP0kphJbJ2qdFyO3JMfEb5LfkMv8MHWNSZ2NH/1B+NJrU9et1NbvhN6T +S8DvkcHz11PnIi2Z+cv89NT2sSF814bYD99WKqddHrk0doV9fVX4l7S1rPGl ++KE3Ki0LxjcDRj7A+KWJgYPfqi06D1tUcC1KXwfd7VNwPOut8X8K9jn/S28m +de+IHlJD1D7oFbUs30LjvoLrw3sL1u2rKr/QfWSP3NsXnZO9JJxuBffpri44 +FyEn6Z76TMRgzoW+DA2dub7gPsFO8e2ckmW9Xvh1RdeBr9ArSt3XomdWr/mN +1JWCzy3Z3jfo/S8KzqEf0Dg/b5uAlzel7qHRSxuduldDz2ZC6pyT3HN86v4V +fSx0FF0dWHD8HxS21hL8oE/VWGFfg59hbIy8glh3ScjuipLjHXFvXOoeAv2z +IfHtzoibjZEDjEndT6Cv0BS9BNYkx2ckz+9WdI3dtWjd7B/6OSB4CC+Je+gu ++tY/tb18U3v5i+ArBJ9d8sj34GJfA+KMp6f2/8SBG1P3JOlN3pC6t0CPYY3y +jZY658efRIwj9nWsdb3aGD2Dpsj/yYdX/53vHRD4d0Tflf7ritDT/uGT8E38 +blPl+pN4T21NjU3+T20BfeLL0ZgnVlGHHso7J2DNVeHnl1V5L/SEd+v94HL3 +3KhdqH2O1S9lrqWxTXT8mvDXC/N+T04I7YNR57Iv9ocfJy8cepwP7UwXf9I+ +9s2eP41vqVn4/tOYbxsw8+0Cn1qGM3G21VFv0UOg5qJm3Bl1Y58qx4yZIUdg +ZMl78I6dSXPjqqzrjOMDXpDzb/rS66tMCzrw9bbg7bioe8BBF4BviJ4D9KlV +m4JH8KdT5Czk5+wDmsSOXMiR/SNLftMXSuNcnLdjzINDz6Ssyv6U9/wGhzlg ++HFT5Gzkbj+pcF7N2m+HHNkbNtM/ZH1Ac52rHJfJH8gv8enIlv3jw/EbC8J3 +4F/fCB9L3b0xam/82aa8e2UzROOJKvsBeibgUZvv1Tev5p2PV0d/i1p7S/S0 +6W2Pyeyr8dnUjTNDx+ift0YPnbxmfdDcGPSpW1bGHugP4D/YwzVRXxPPOAs9 +CvrCI6KfsCX/RS9/fXxLXbI1/0X/YWucC9qbAwf9XBN195aYXxG42wK/NWDo +3ZQZn/zrxswyfD36YH+MOn1x8Adfg9yP+XPN35K5b/im8GdWue9NnkGePjPu +LMZmjgvEB/Tn3ehFIDfkR3wkH6ce+CRG5vHL5WGvCyKGLgj80ZnnycvQhUWh +D/TklkZPrDH8CHLsGT1cegXUakvjnoj9cbeCn2lXbZj5D+P+hXsYekjkUcib +fc2LPRAPWRd7wm+8FbyCxrKgCQ1663z/bsn6/FvRfKTk/Pmjknto6Dp6Tqx7 +Mec+2K8zw0tT06uO/g+xkV4EfUVi7OzoHTUHDvvHF+8L//xRwOSN5Fr7w6+S +KwITR+DVgZin5qAGIP/n271hj89kXov6rHP1Fz228zP7obWZ87gD4Yv6ho86 +FqvK3FeB5kWZ+9j0s7tmnqfvgo2zLvXF8X2zLmdqF+ci1+Pb64LPzMObvYHP +Gam7tpU7vtK3aA3/2Rg1F7XXsMz5D3nQZ+GzsZd+0cslFlMzUTuRWwzKHKOo +X/dG3c7eeE89vCKelvAJvF8cdNhnS+jVtsADh34DdzTcVwzNvAfqfnI96kzy +S+obYjC58uii9zQy+kichV7QqXnTR5cPRf1+vA/BiJ8hd+a8xCxwmiP2DY/e +L3QORhyeetzey13HN0ceAD45BT0xYgp5KHUr/UZk/nHInbxsXpwL/z4k4sua +BtfjaxtsS9uCD/Myy4k+E7KaH/QXZI55q1PrRW3oBmeh58yeX868Fv0qYt/2 +iH+tASN38ri5oTNH41vOyH0Wd2P074kb5O7k5PQVj/sJ9Ld3xMTODb7L4E4D +nz08/PbeqH+pg7Hj/dEPJ2chd+Hs5Db0rMhvWI959Gdf4E+KPGdP4M+IO0lk +x/0k95TkmjMC5h3whphfV+WcADvE76IT6EOfmOcMszPHveWpadKXINY8nxmm +V/GdzDrJ/SG9Cnw++j4zs6yXRI5JrUeOcWlmfaBXSkxrjBx7SvhW/Alybg17 +nB73raz7Uma5rIgeycE4CzX0y+ErjssSfViVuRfx57gT54zY1Kygj04hH+aJ +QZx5XeQMzPEOme4PXwvPOWNzxLVTI2bx7RPBX/hPvkG8R1fREWLV0KgDsC/q +gr2KORNqfc80oGg9R9/xT9Xho0aG/U4p+U4mX+tasjVsYWbY0IHIw9GF3aGf +vWqkv3XWzzEab6lxr2tsjX8Dk/sOjz4GCcjIqNnoNy0JOQ6Iv6nA56Ofx/Kt +xPEaeSG3UaL3ozrbLbH0pLjnQs7IHlmw3sSwl3yDYxkxbV300+irZXH3Au/a +1roOoQbh/u3jGsdjdO3YHSj60OC8cFDUSv2i3rkm6lPq1C4l6wC6QE1TUWua +Lwj+h1rXBtw7Taz1PdDK8LfoHn83sajGdTLnhA/0eeDP3ogdzeE78b3dhf9C +re96R4v+6BrnrMT8hRH3r9BaPTr4bnhj9A3oXTwSfz9wder8a1PkYHdF7+sy +zT8m2qd18H32vVGz94g7o/WRN5KjbY08jXvyabWuNZ/TeHkH339Dm2/J68Al +LyQ/vEr7PVrnXtHNgu+sdd+EHgb3gujebzT/5Q6u+TqL/rc7+I4du18cce6B +qNN7xf3X9qhTegu/sYPv3MgLiAfkIfgJchTiQkvU3+jZruhj0M+gd0XNQu1C +jkMeQ85Tpv0MrDM+vShy4mO+InIjYOLD/tDD8VErESfmRc5I/Ds1bB3/QNwg +fuBTRtVYlshxQ9g4/go/hN8hRtBfpAdIbwuelXUw34gz+0JXp0V9PCAe6kni +I3xbEv6ki777j1r/HQN58bLwS9jH0rA15Dc56g3+/ujPNY4T1JdtIydBPv9Z +YxmhK9x1EUegib+CFjlRa+y/psFn5i6FGDUs4tSUyNewR+5D+oUMiEHEVGIi +uSby+H7kZeRb+OHBRffV5zT4vhT/RC56QtxBkEdyn3+4xrnhoeAt/vz1uFfi +fumW1LXalZn/nobe3A9S19DtI3+mfkwj5+decVuNYzK1IzkNPRroIZNJkV8M +jhzj8dR97DEFx711EfvI0Q5HfkbN2jHql/8HFh6iaA== + "]], + PolygonBox[CompressedData[" +1:eJwll2lwleUVx597CdyYcG/gve+9t6BApTpYQafIUongAlgTCCAIhCxQsGpb +IAlEcCOooGJBq6MDBbtoQUQWUYFa7VhFsSw6Ko6OTscIsgkKcQP0Q7Ho7+// +w5k55z3Lc55znrO8Z1/bNK4xGULYBxQBSzMhtHUMYXlpCPXA9nwIe4tDeDER +whVRCCOA18AbUDqVDeHZOIST0HPOCKEV2fOg/wxvH98mIXsKenrSNmTrn9A9 +kD0J/QZ07wJy7bCZCqEP+KPwb0f+KPzX4dflQliEP33wpRz+K3zbCm8vzrZy +/rfwA7pTOuAf+OmyEJrSIdwI/yfoTMOHT/CllTMPoLsWmR3IVqIzAd4Yzns2 +6TvMhZ4I7OxgGcl27xzCu9gbif7IkhBuhf89si+gU4NuH+hy6IeRb0T+Vb69 +DS+B/NucN6hg3+/jvGbogcg/hPx+6K+gK+EvQv5j6BHglfC3wb+Jb//jfsOw +OQ3bo+APQH4//Brwvtzvavi3862a+C3j2x3gfTn/UXQPYmMKsi8jsxe6K/AS ++Db474MX4d9u5C+E/hv0AeTrkR8NvA5+s+4Abz50e/CtwBTocdDvwL8DugR6 +LfAF9B7sHcTeLPhD25MLoBLeKOhdCec0QP8ceiD0g9xpBndLdOI7cCYxmsOd +liMzQ/6T453Yewn6ZcUC+k3oYt5nJ/JxN7noDxwnZk3kqAV7b4DXYH9/wm/w +fHQncMZtxOcm+BPBf4r+Nt7IQnTrga06A9utnL0E+bHo7044J2dA/xb6U+jV +0JdB/5cYflTkO5wPbw3fPgffAP/J2L5Vcp95pfbxPege+NdY6jf0s4Jz/zA6 +PcGrI9fKX9Dvhf5C7D+A/dHACnhf4+vaMvvaBRuv4u8lCdfANvAG4A8p31F3 +PQ+dAQnfSXfrDPSE/zz2d8BbxRnH4K+Dfhz8N3w7DL0KehD0WcRnK+ct4Lxa +4Bzu8hz0HPApnL8amTbk1yP/BHgX5FOqN/g1QDX+v4Yvg5GZCP4I9md2cI2q +VicBt0DPQ6Ya/Hr4R5B9HHuDsfcn7A3hzAbOmgwcyjo3dcgcBJ8Lf1TatV0A +/oV+t5Rrdh32DsN7hHhX4Usb8V6L/Am+zS91Tr7nLv8v83tQj6hRrpAph7dC +bxD8qzLbzgPdM/4mvE75xMf/tHfNvwv+CrAd308T77eI9S7gSLHffJVqIXLv +1Js+if8jkR+G/kFgj3pl7Fr/UQfdD7PubYPQ6Y3u8TK/AeW+K9Ab+b8m/cZr +4U+OXOuq4V/A+ztwFPpJ6JXgv4f/GfQT0ENj15RqSz2mQu8L+hDxWwp9MXRd +5F6gMy5A/h/E7txO7n07Us51z07OjXI+Dn9fbOc310u1XnBsFeP3wIcjux38 +LmTnovNrZA4l3KP6xe4Z6h1PQa+D3pB1r1GPXS/byF9T5Dc+E9kxWfc+1Yhq +5XpsXwfU4kMdcAlvoJrzJwGDc+7B6sWdsXmP7hb7LR1WDsDfxMcjab+V8eB7 +kBnJWbXoX4r+VbHfumq8MfI38eqAy8AHARPAxwMXg1chvxH5r5FvRv7LvHu7 +ev4A6Ctj50Y1OBP68pxtVSGzF/qivGfTd8SrNfJM1WzdhM6m2LHslnFtKqbq +ZamMe6F6mmpcta4Z+wG6Q3KOhWaGZodmqmaretzV0NXod824dg9Tpm8Rg+fS +zvWF6q1Z9yLlQLk4Bl2fcA9sy7o3tEe/X4l7xNHYtd9GfI+BD9eMSPpNzkD/ +gaxnh2bMH8F/FbsXqac0RI6BYqEZMkL9Gx9WtXN9TgRfHzu2T6OzAfzuvGev +es5d4GOp/e/Uc0tc89KRbgs+HgBfkvVs0w6zWP0JuB/6fegV4Pdmvdv8WzMA +/L7Is/MDoJnzzs579qsH9ATvjs1enH0OMe2h/STyW9Yb6g9/ft6zWTFryXuG +a5arJ3+M7KjYdzkO/8bIPUS9pJRvd2p3if1WtSMdAl/Cty7w9gCzoStizx7N +4CZ4N5CPZu4/l/xMRWcf38amvEMMz3mGapYWoTMP3lXE6yTyuRL3TL05vT29 +6XLkt0gH/Cnsb855Z9DuIB8WI7tMMUt6J1gK/g22KjSPS22zL/IVKcd4J75O +zXr2qWdMAx8fOfaykYafKvgs9aTigmdRj4x7r2bSgsix0Y41HfkafGrB1m34 +WAu+i28r4Y1Av1/eM0azZjF0E/Qt6J9OeKeYhOwLWec2Ap4Hb8xbVjNFs0W7 +xay0dxPtGNrhtMtpplVhuwO+rcTHI8E1UIbPmWL3gEzBO6d2T/k0ULtmzr1d +Md0E3p9vjyXdE6dy3i9jz2LtrNdCV+a9K0mmArw89qzUzL4O/jDoNUn3+OmR +a1a1q53wAvCWyLnWjJqMbLeC36p2iLPAL489G7Tj/A7ZIbF3Hc3kG7Tv07/X +ZNy7ldNGYtFQ5l7bXOQZplm2hDNn4d/svHHlRLn5KHIu1JPVm9WrE2n3GvXs +0eg/w3kn9A8R+Z9A/wbK0c3Q9TnHXf8Aq/E3ie4X4JPbOeb78W9z2v8P+mcZ +Frl2Z2LzG/K5ELqjdh9gBmctijwLtAM3xt41lmX8r6Od41Lo5RnvOtrZtMNq +l9XMno3uvZHfym6gSbUb23f9QzwT27fRadeefDyhXSPj2a0dV/848nWLYgD+ +dNa+acfemPUM0SxRzXwYeSZpNqnHXAN+Cr0xnb2rqMdtydoX3XEz+Oexe696 +Zht4x4Jnu95kWrUVu9co5hvBh+b876QeoV7xA4Y0+48= + "]], + PolygonBox[{{6094, 3437, 1138, 1656, 6059}, {6060, 1658, + 1141, 3441, 6100}}]}]}, { + EdgeForm[], + GrayLevel[0.5859538765284897], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmgmUlNWVx7+u7qrurq5ququ+qjKYcQNFNncD8ZjRuMQYREERg05YNMfB +ZRRXMmfEJMYEjYkREBRmNBmXqOyCC42yRgcBNW5No2YGJCoqKhgwiSIw/x// +y8k5/Z336n33ve++++7yv/f1wRdffe5VmSRJflKfJPpLXmhJklV67qpLkjkN +SXKP2ms1PjlNkktEOLuUJCv0/uWmJPmR3u3XnCTT1H5LzyftSVLKJUmPSpJM +rfP4NZr7umhf03O0fq9R+5jaC/WcV0uSU7XWMLXb9K1P9czU+K7WJPmwLUkO +K+h3OUkWaXxW2bzMDX5e1DovBQ+vao1TRfOgNtBb/PRpNm1HMUk2a511jUky +UTTv6P2sOr/vq+eb+l3XLUl2iKZvwWO8+0T7PF3rfRnfS/WdOWpP1vOy9nea +3m1T/wCt/4HmztPab4jmGK33G/ZVdb9OPB9f772fIJ5XN3n/7L2jxf1r1T9X +9EeLbo9ke7vWO1/7fzTvtRi/U+2oJs9n7troH6P+FzqXL7LiVe23Nf9L9Z/X +epO1j1X15plzOCnOArlxdv+s33skl83aywjtt4/m9dVznmiu07sRes5Q//t6 +Nyjj39NbzNd4ZKK1b9Nzfaw9PtbPaM9/Fd2Pa+YZfodpfLT6/bL+ztYm6wfn ++KZ4WN9onRij8XVZ0x2bmp9R2tPyFp81Z3Cp1l2s3/+qNoeuiWao1nle+9hf +fC5Tfz7f0bsb1R+hdc7W73/XOn30/K/o1ovHy7XeZU1+9770tlPtQsltY7P1 +Fdm/prldGn9d7SqtPUr9otr+OqNniuZ9WqN1917J4t9S01yp9oct1puynpH6 +fZ7GJ+j7g9Qu1hpfaf3XxeMz6u9Sf7jWm6N1T9O8NunifLX3aM2OBs+9Q3s5 +RHb1qeh7iM9PNXZL6PxorT8MWam9WPM6xdMberrnPZ7TnA/UXtPgNZeoHanf +92rNK1L3b8GuNV4W7QKNH6axnnrOVf9gtYfoGaL+o5o/IWOd7K+5h2r8Is39 +v2bLjPHGnOczlzUOjTN6s86/6fdJveYIzV2k/tPqL6laN18Mu/6Zft+vfdyq +dqC+uyVjvbk4WvStJNp2PefCt3gY32wZscbYJuv/amSi/lkZn++GZtvkgkb7 +C3wF9np02O9xksPZop2i/mLx1iHeloqHAfUewy7wEcztUNvU4nff0PNH9R9v +sT5crfdX6UmabB8/CJ7ZJ/staO9n6dx76dwrmvNLjT+l8adT6wg0OzWnh/Tz +3laf7feypuG7IzX+NfmvQQXvHzlgi7Rt0b8anRD9RH1rrtYYom/9XOs8prl/ +aDWvzxat0+jzSPWnqT9GMjhG/XvUX9Lic5+e9dlXRDdD/f7aSxkbUP8g9T/X +nG76LfPaa1/Pa/xm9RdJH6aqv6rO+r8obGCqeJuk/jS13xV/k6GpeqxV61yW +se9/usH6/5zWOUo6fVfGdpXG+b4n2h2iWczZaO589W8Q/bOi69lo+5oi2ifU +n6d3b2nfb+rZqH19J+ux64lxopmddX99nb8zNMYXau7cBn+/Let310g2nVqn +S+vcLZonG/3tDXqa1b9QNJv1/hbR1emMVoj/IzX/To0Pa7Wvx58u1Fm8oN/P +ap1ZJcdZ4u0der9F4/mCfXk59rs9b73nzJdpTiVkgS9BV/EtqyImEcfr8/YF ++IHlam9oto6g09AX0cOSz/EFjd2b+rymq/1c41u11n/UvIeZmj9dvJTqHYeI +QTx9Inb8TfTbRX+T6I/S/MM1/gONXV0zthhXs1605awbL4W9s6+v612DaP5J +bZPe94418fsv7bNlffcFPR9rL1eIbqXor1T7TIv5ga8BdY5h2OmyvDEFcYr1 +esWaU1vsI6EjJqQRy3h/ePguYuzaiNH4RuzoYY1vqjeWQA5vxRzo8VUTRbex +3naKjWK/Y2OPxNwDNX6/nnMS6wyxiji116eLfp1kNU9ym6vxudiu1hzY6Dj0 +U+nD+9KHXeL97arnzhfNgAbjH7DNTOnSylbHj29qXrcmy+qYguM3foG152Vt +I9u1ZiIf0qdgnwheOTrsZW7QpGonZ7zX5fIJR7VZ/9YEDkE+vbXGzfr2ZVpn +at5y5RyGp7b5C9Tm1d6XNRbCFrCDLtH8pGr/clzZNo5tYX/9td5/tjqWtmve +pIxjyEbtNaPvDtHvayWv0/TuLK1fp/GkwbaCj3k6/AxnwFlcl9h34rs7Igbz +HnsfqHVeFN+fVY1VxgReId6/kvG5H1s2n/ALdsDHocPEHGLP8ozxLzGXPnp+ +eWCMHo22tX3xnhbZXhJYE5wJ/+j2yDrbB33W35q3H8OfZdVv0HNjs2U/KmyQ +Fr6xw2rqM1tQNZ5iL2CwMUGzD4+Nij76tTpsim+uDh6mNHuf8IAuoBP4Svwc +untjYK29eqzxMZLPiWpHlx1Lf9hgPIBPxYfiP4mHxMVzMo6L/CYuEosnNfmM +8JtXBU1dk+mhvaXqNXeX7MvhBxnim1mfc0TW8EzM6KgYYy2u+FwWBDbAD4Ln +wD9pzpiN39s077Mm5zLsHQw9NnDilOhj29j4jaI5p2p/c0bV3xsbNv6h+NnY +5Pj1kfrvwqf6B1V81mMlnyk52zZ2TQ71tWbH6180GH+AM7BD7BE/RkxkzRWB +f8BDYKBf6qx/pnfLqs4D3m5yHHxNv/fXmr9OTbc19kWshGZsxt/s3uw4Qrt/ +9IdmzBP03YM3xmbWmx/st1k2+VnefIAn8LMT4/03guc+kWOBrxgbEONrWqwn +e/FUapoJFeOzzsgTl8Z6A+vc3hb9cWDYRuOrH1fdv7nqHGKEvtel9oO8sQw5 +xbfU/zBnG96jOWMafYaP5E3PPPz/6EbHAOYwRt5C/jmtxWtiI5xXRTQXZawn +5Ic86M3cmNcVc1lrefC8LPrliF2rwq6hW1pvGwR3dwX2ZmxZjH9bfP4153dz +4xzJm+BrWt6078ke2tWeXvX7bXHW5EMbIicanDd+4Nvo3pjYy/L4Fnyi7+g5 +vCHvNMbxB5XwCetbjFMOx1+kzkM+UftczbikreZ8E52DB7AjWBL6ARGjsJ0f +6by/rrEh4vnd1PnJe6nz8CVaZ1ejcwFosKkZEW/hoV7f2CyalcR/zV+OXaj9 +U9Z94sOcrLEdPmG24tVNRedLYNtRRfM0S+9Pz9rnvKz4dVqrZfpY1jEFOf9e +9FcUnTutjO/OUduq5y/qdwvMwrfZI7aNjSdV1x4WF11/WB7yLEcOMSDwCbF0 +WdHx9FJ8d846QN6XCx9FvlaMGAQGqeTcf19zvxLPh0pmC1psG9gF9rpf2Owl +oTd7cxzRzxD9JaLtqdjaVbQNEEvwX8iZXLM9Z7z9dtmyXK69tGufO7Tfp2rW +l6WhG+jFjDgX/Pa2yHPQn4mBqcAaZwSW2BT06AD+GL9MrPxKvK0sGss+22C/ +vCriEbGQ2ESeWs5ZJmDb1wPfjghfiTx7lew/zxXvK1qNh8BCrEE8/jh4pIZD +LvZcq3Mh8iBiy6NRb8F39Y5aEFgGrDgi2s7o4w8vbbDPQ9/JT9GZx1PHRTAa +MZt4SaycmXWMo67WHhia2H1IzTlkj5pjy4CIL2BwYgd5E/aK3eK78FV35axP +8yMegymacz4bdAy81h7rE5ewbfAzPoLxdyWnkvRmaYtrCPjiEyPuHCF5/Kno +PAF/MTl8AnWudbF/bHy/iFlgAuIxeIoYTzwGc2FD7BWZJIEJqHX1rznfPULt +8LL3e4HaB6QDlxetx6MCy8B/Z5w1Z0z7RtRn+paca71VNo7ju9g7GGl84DFw +Fryhe/gS4j96zl5/EfsFC4I/8APwSx97GR+2AT32QR+7YI3xMY4skAl1MrDt +zIiP5FfID7y9Jm894V1zNmoniXHF2MAqYyTzD6SLuYJjKrEVfSLfAtNiX0sb +7AuwffT347yxAJh7cNCR61BHxe7IiYn3Uovk9JxjATEBurpYc0HZ6y5UW6z5 +u4Wa7RB7J/fC3yyN74KRif3wCEbD5rF34iFxEZ//q9T98RXvlZoB+82EbwbX +/Tzrs6OPb2Nf2DV6vifiDT46G7FmcMYxAb/5YuAO9o4caLFlcAT+jrPrir3i +Sw+seZ0DsK/U9cwHSm7BHOgV57M2b5zycdky3FJ2vv6HyFXAoeBReKZu+kHU +TtuoUWKHZeMM8Abx/MaS8cEiyaGr4vF1xD3igfq/wRdV47ui3d3oPbJX6kjb +4jz/XPb33i07Fg+M2E09JomaDJiOswb7NdWsG4016yYxC/08pOqc8GC1Kxuc +0yKfW7PGkGdHzgINfhIfNyjkk4taMbxR23gp57Pnm2BJdKwi2ZY1P02de5CD +1FLXpGfnrI/kcNCQS/5Pg+u24JN+4jXVnvvWXG8gn8c/UjejRoKOgenAbetD +RzZGHNkuuWzXOn+JdlbOciDvmBMYoH/BZ0ceMa7FOSV4iJpHh+jrQpbUqvC3 +/QrOiTkT6oXUN08IHHVJzP0S+eWMyV9p8R3DrOD3seCZ+dTZ0RPyWmpH5LD4 +AdbEPpaULYulZcduMDh+FR1aEXa3qcX6Rv22M/wN54P/4tywC77J/vgutlYX +OTK1NORCPrKlYjz5ETlRo/dwQ+Qpe3OUxLYDDfbzYdThqOlhr5z5ORGX6yLX +JocZGDoDLgBDgQ3AcdQC4O221Dw/WjKOw6/hfy6KfAO/QT1ud8gKPIWvGBJ2 +vyTWAR+tDL0FM1HPwtfuxcL5f+QL5CP4QM5qXJzX02XPXaS2PXVNoZS6VlZf +cA2YfJFcnbhBLZKa5D1RhyH+VgI/3x2xGGyxKWr1d9a8zvFlx6zVcY/2Tov3 +xr7GFPybPue5KfqcFXVE9juyYJxNnzoTMQGZsT9qP+wPH44uIv+dFcvwYWK6 +npOonVVs07nwJ9/X+EFgVO3l1+IzozWPKFvO68PHwmO/0PmrKt5jv5L5ejP4 +SUuOJf0r9jurIpaxBnyTG+C7LiwYU7HXMXGfQdxG1sgZ+1sWdySjS661HJe6 +HoSv5a4B+Q0vWIYzau5PVztasTLTzTbNN9+MnGRTfAt5Tor6PvGcPII7S+L/ +iIJ5w68yZ0ns/aKC7xGXxl5Zl/2CNzbGfQF19hExFxmcnndMZR7zsX3yCTAQ +WILaJN/lLmMOGIU6T9n1Ue605oTfuChwGDXO5UGPz9kYdypgQLAg9nlFxdiv +d8n5DBgO/EZtgBoBtgodPglbZt1XA+ORw3C3hK5yb8a9ztCoddNH5k2S6842 +1wuPLPjs0c1TCh4Dz3xXdjFKsj2z6joq+Qe4+OSCc2ZyYO4g8fs7U/vYurgj +OKngewzoqa3i56kfUr98Nfwne8B/l8NvHxm+G73EJ+MPOEP0jLNYUXT+AGYh +Zv4x7l+Q6yuxJr7xiIL9IzVueJoh3rI52wV7v1u6dZ5opqhdXfUdx/2p72qx +F2oDnOeO0KWD9N1Z7ZbpTVXfBU6o2q9viLNDbzZE7ACvc3bg8wk1r/N3neOF +JZ9HX33rX0q+OzsidTxpLNgH4C+5B8DuydlODjmjL8MK1plpNfenRj2cvSDb +48XnrjbbG3LMBIbBRw4KfSb/WBP3WJznSXGmI0uumx+dGs+eEjoA3qDeROzn +vhdbBUvhLxdqjzvF54H67qHtjtltqWNfN7UPtfneixwAjNAZ9eUri8630dMe +agcVjQm+UzUN97TEpOfD/yOXTYEBwP77ar1PhP8mH3ky6qbkR/OiRkGtgrp4 +V+SD5E3USam38M1H2vxdZJ8L+YPV8E3U7fFP2Aw6A9/kKNwpzNK8Y4u2Sc6G +WHhh1C42Rf0Cu+Fb6AAy+jDuy7pSy+/21HUFahDgf2L74Ijv96XGfD+tGv/M +CJxMnARPc6bUhsl/yH32j1ox/eaovw/VedZ3sw/Ftvq1+Zw4I3h/st3831d1 +7ns7te6ic7NxkQOxJnnQkRo7rugYTD6Ujbr02oLzGWQH5gHv4GeYB0/cR5HH +Lw7MT56NryYPu5f/fyj6/0KGlGyD2CI6BxYEFw1Lfb/yTtW5/q2BXal7bY1a +HDb/TuhGQ3wTnq8vuS50Nvpccl3iHO5baq4bPlkzRgWfcqcDlkTP8Uc98/Zp +YF1wH/4WP8udJ3rPOYKj8HXERXS2vf4fdye06Al8w//5qbFnJvxjJmdsPCni +18yoTcF7R9yBbtGcTzT+UWr8sDlrf/5szucLrmTerJiLDj0Wtay/SbYN3ewH +5yvXXF2wj3lCZ7W21bFiTmrcPDs1jqD+CB4sV30H0VqyzqK77P2pqAvNVzsr +9bdnqv19xXc5j1QsU2TbUHOeRE2WPOm6kuPl4NQ4AP9NTPxz6n1tUjuh6Pod +se6/K743eqBi7Ia8JoU/oHaGT+B/CvDp2Cb/d8D/iKB73OnxfwmcKbGSPcD/ +tann3lHy/5tw78gZYaPN4aupqdDHP3BOnDGx7KGScRf4i/yR3JFaEPWzRXFe +xG7o0Qf84lcNlt2pkvcprcbH1O7BaoeXfLdBHWpY1TkTd+rkTQ9Gvkr+SqxE +B4jpx5dcX9hatQ2wDv4C2+oI+1of9UnwDHdT3cMnrGn12XPuYLkk9HZP2f3d +Zdtr97Af6nLU5KhLfln2Xs4s2b45B2TL+b4SOT1xEH0k9i2o+H+nFla8Bu/h +jdyYHPnAimnzQQ8fyBpsyTkhM2QOtvkydO+Lsvt/j7ybfIlc6aSol/ObeV/F +3B1ly/MU8Xyw9OrBNtdNsWlkjF0vjroJIgCHkDftG/s8xrH1ndHvVrJc5peN +Iw4ILEHLXS/xolfq/gUl59B7ApNTHyH/ea/su1Rwxt7/jQucCX6GdnfQ4wux +c+S0ruga7r47D+4DiDfMWRD4Bx66Ik7xP1MdgbXQOXAbdU3eHxB89ozclHPs +FTk6ttBZciwgJoCvwdngee5sqLncpHZ6q/9PBWzHQ62QPBVcuT78/2F6f0i7 +sQv+nPtofPqM8FucNXi7M+q6bxddiwR3fE++40TRn1lz3NsTvp3aI3GeHB/c +TfzH71GLg56aG3ZQH///8HDF9ZyHKgAy+97BJefM1IWpI/2u4vrMbyuOb0e2 +O8b9V6vvpMld9vrr4JmcmHoI84/S+37txkngBL7F/olpJ7Q7roElWL8r6mbb +4i6JWi44hVrl8Jr/F+x8tQ+3GWuCM1e3+v9FyF3ICUqRt3eP2Ipd75dzPYG6 +yuMV8za/4jjWI2/Mhk2Uw4+xD/6nh738PyRam7Q= + "]], + PolygonBox[CompressedData[" +1:eJwtmHmUVNURxt8sPQPT0z09773uTiIRYRCEGUBQNBo9CrIo7oIoGgHRYNhE +iHJMAI2AEjXkqMgIRI2KCoLDGgOD7EIS1xP1AAJ6gsoq+44gMb8vH3/U6apb +devWu0vVV92k/7Bb7i8MgqB7QRAU8zsvHwRHyoLggkwQfAV/TRgEP6BYWBIE +E7PY5IIgLA2CyYkgmBIHwVzGDjD3Y/Tz4f8b4QTdVOgl9NMYW4puGvJN+Dob +n4lkENyNz2PIJ7A/WWyf8n2KOSexbUYM25G7Q/3QfYVNK+zfhG4h4LMaBsFn +6F7H/3v4b4v9t5Wsw/xa5kfMWYDtGGxq4acUBcEo+POwj5i/izkb4CdD9SWe +cx32LzD/OfgK5sxBno7+iwKv8Qb8SfTfo5+NfJDYX5HPIn9TY75tauy9WYz+ +NPqBjK1Edxg6jr9S5D3E2pnvuRz5HSjLWoXMCZhbjv4g+obYN4N/Dv8X4f9D +xg7AL8fnP5j7E/xXZh2jYj3K2BF0LzO2gXhXon8FvoA5afTP4n8y/tdjU4I8 +Dvkp5BfR7y70minWuxT9E/i6DLob/gv01ez1XmzWae8Zu7DYNrL9aUUQjGTf +e5cHwbXQvKzvQkPWOJ31HmgvdCd+hP+cNTdofxsEwRr4EP9V2H6OTT32TTSH ++JsxFqFbn/VZXU58J1jn+tB7pTPT2W1l7Hx0a5DfRP5r1t/eiPnlzJ8Y+678 +DPoU+R1iWEnsKb7nb/DdoLoC3/lKvn838j70B6B98LWx924BPo8jp0PHth/7 +srzvnO7eKvSvsvZFoc9qAPPHYH8IOlzsM9BZdAp9Vm9jPx778Yy9jG4LZzwk +6z3T3v0Hm2q9Pfx3wV8X7GPkJthfgn4tMa0ltknI/Qt9pxoQTxsoy91pwfv9 +GH4T86vKfGe/x74t1AK+JdQHf4uhl+DLoIboliC/DN8YaoE8TwQ/j3im8y3f +4LNXivvLGr3g56Cfg34u+tfQt0duhVwD9cPXI6x/kHtxPTEM5Hcv+n3opvO9 +u2LfAd0FfVNTvmU0vmcTe4jtWHz+hjXeZa390FH8zWSNHzivenwsYe57jNXB +vw3VIb8dm5/D3FexXYN+buJMjLHPRGfzAfF0QHcTa92VDoIVyI+zRmf4dsSw +HLkWOqI8yB1fBl9NTIPQvZ7xHj+Anxp8NsN3c+hX+FsFvQV/CPs0sa9Gno08 +SzkD27HMrcLHLPQF+JsVW1eHr1eI7VbWb4r+LfQzocHwbzAng+1wbO6A75m2 +bmrSd0B34QaoN/xUnQ+276MbDj8an88UeGwacktsmmBbBd1BbJ3wtRvdZOwn +4zOMvM5O9FuxnYL+bGKYi74/VBn5u/X9rfG3i3huh2qRm+NnNue9ijnzko75 +PfgmzF+APB8ay5p98L0MH/PxtR39H5g/gftwGn3byOeuO7KH9VejH4n+66R9 +noAfDm2QLf7XoR+BvDHpsVMZ75H2pj36Q8QT83aW4rNC9QDqofyhN8hav4Qm +FPsNjuP+1bPmYvTXQr3gU6HvmnKUclVzxs5GPge6PfS3f1Lhu6I9UE1TbbsK +vgf78yT21/E+r4Wmo+uJj3vRt+N7A9aeAZ3ifBapZqieKj9j21PvB7kvezcl +Y3/yuy322bzA/K/hF0F/R+4O9VT9CM/4SvhbnkYeoFzB3KX43sZ+FKp2MFap +t0e+yZXYZgTyl6x3Pjad2LuHGvoN6S11Qf9bfO3P+e3MYv1n4bcyVgm/Dn3X +nGusau0L7Nej8BX4zCSco5WrDzL2UZlzlnKXcoZyR1dsHgydY5RruiE/hFzF +HjZIugaqFv4cuTjpmqvaG+F/E/sXYZ+Fj2Pz+kZ961C+b1KJa85n6B5g/r+S +fhN6G8XIO4nnLeSuyl+suZP1d0DfIo/Ou3arRqhWXIN8WdI5U7lziN448sPo +R8kfd+EY5xWQ09qU+y0fz5jXmy6s8B3W3W1d7j3UXspnd3z1xWd1wjlUufS2 +0LlYd053b1TeuTBkzo3MvRP9uQnnIOWiR9EfS/rObUC+C/15Ced85f7eyE0T +zgHKBWuRW5U4x8+Pnfsey/gtKge2RP9MiTGYsFhG+1FmDCYslteeJ86cgXIv +Y/egu4T4Jqm+x75rG9GnVfvx35xzuZJv7839Wpjz3ZGPHPo3mH8z8++E/oT8 +g/IH9ldgfy50H+svIbYR+Ps9+/1a1rVXmEfYZ0bWWECYTdhtIfRJiTGqsOqP +od9ee6gHay/JGnsIcwh7CNMJ26lmH4avyDuXCyMJK6lmq3YLo3bE10rGtmC7 +kvNeDV/D2PMlvnO6e8rpyu2d9b7QDcLfqqTvzGD4QcKjRd7jwfA9837rl/LN +H8EH+OxS7D2drfqS81pf4q818tbId1WYTthOe6y91pvLxMYUwhaK6X74J3PG +csoZT+WM6YXthXmvDo1xhHWEyb+PXBv7VBrbqUaehO/I7xXYhNiP5658iK4E +KlXdKfeY+Al8x1PwLStc+9VgKNfPSbvWKuf3i4w1P0C+GH/fEPOOhN+g3qJy +nHKdxr4Vz/w+KefCZczpGztXhsSzt9I1RbVlObQAvrEwe4H38Jysc75y/xKo +LjLGFtZWTvqFajdji9AthmZFrqGqpXpThcj3QVehuxjqFfkMdBbKSY1UX7Pe +G/UY6jW+I769Cc/R3DriH5NyjROG2hb5rivGkfi6Ev2L7M+9whdQO+SV2IcN +/O5UCzeh35J0TVTtex95adI18BByQYWxyulS9xjqNfQGFhDPdPQDU67hqsmt +s8aWZxFDDXy3nHOLcvo25t4au7aoRqlWVWW91/uwbwr/WM693kzsL1BvEBv7 +rYc+VW1ibBVrrYYWqT+J3Quq51Hvo5qk2qSeZpnyK/76lvpN6G0sjHyWWdZM +q9+JfHYRcirrnkC9gTB9JvQ36FuOod+dNeYX9ldOeR39d1nrOp65y6+Frs23 +Q38ktmrOME4aAwkLXRj521Szx+JrU2Rs/rhyGvz1sWujMJ6wnjCtsK3OfHfs +HkK9hHrQ0cy/MXZtEyYVNp0Zeu0dxFPE2utD720jfDxMrO1iY/UGxJxAro6N +3UqQi5DbxMaepcjFyHV5+6rmnDfDb2D9Bwvc0+yBvy52LhJGFVYdnXWuVo+n +Xm925Ltfib9ydOfFxjoJ5ELkm0P3Cv/v6ZEXRz5bYQhhiRti13JhcmHzocQx +L+1c8G/ottjYShheWF61sqjCtVA1U71Ce8buSbpn+F1obKs3qbe5OuX/JtSv +ZbF/Gn/jE+5JW6jWhe5tNSbdtLTflN6SfOoO6S71Rz8M/f3s0T+TxgTD8sb6 +V6WNhYX5f81YfdI1ZwD8F5H/i9Ceam9PsN6RpHO6crtymHKZMEvTvO+I7opq +xGb4gsi1p4jv/LOwR95vXG97rs5OPVzGmGSOsAqxtE851+mNv8Od/YCx5Un3 +SOolnsa+rNw9hXpa9bZ9WXMo37c77Rys3CubD9M+E52FfAyJbSuMLKz8F/Qd +8Lki6Rx0W+RcJ4wsrLwk5bulO7aeO/0ucg3yDOSNyNuJuSrjN1QDPyH0XisH +KBeswL6tclqZc9pO1hsnvF7kGqJvX5qyL+3BDOQhKb9H+WxKjKfT7jWEIXai +r085FvUoyjnKPcohV+fc22zPGDuox9Eb0VsRJjpf/TMx9ih3j6leU5hC2EJj +z+eN6YTteiLXIp/G16qU75726FziWZ8yltEetEXenDJ21jfWIDeocC8iTD05 +b1/6T0j/DelN620L810Q+7+UNWn3SvpPRXuzI+1eUXv0SM7YWvlbvVgbqLDc +d1R39aacc4fu5Ji8Ma2wrWwm5o2lpqbdywlTdYh8F/UG9Bb0xvXWhRFbxc4x +yjXCmK31X0DkXko9inoV5WDlYvV0g4U98H2UmGvKXaOUQ5RL1HP1QR9UuEap +NrXC5ta866DqoXo/zT2csU4+9B+e/svTf5An0f8PhUrQcg== + "]]}]}, { + EdgeForm[], + GrayLevel[0.6770398671217059], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmnmUVdWVxm/xiqr3ql4VVW+6KthAUIRWEhKqSkELhZrsToKJEtFgEoMx +2omC/NMJxLSItgIWalrDIIMMMmMmSUdFl629OjE4dZsVBo1292pdRhCZTJi0 +6e9X32Z11qq7znnn7rPPPufs4dv71tBpM66c3i9Jks5MkugvuSxNknHZJNlY +SZKTuSR5pi5JvqL2hH5Pq0qSlkKSHFf/49okWaJ2id6/oKdT7wbo3VLxONyc +JNV6N1j9Y8Uk+bAhSSZprDuveeJ1huhbRP9kvdas9++c6C8UfUY8Ltb6z2us +QzSnNH6/xj/S/DF6902NfVU8V9YkyfvVSfIN/X5X41+XPD2iPaOcJOfo3WK1 +JzTnCc3dq/73tc4o8TxXm/wP0c3rnyQLS0nSpLnrkVO08/XuuWrvIS+aiWof +LVvuM+ss+x793qDxVO9/r7lrtdZu9dvV7tWzLXjBcycyaO9fbPb8Vu3rpOTo +1jqj9dwqmUdJ/ilV7o/VnH6iO0/rvC75jqldrKcnaKcHzSbOXuMb1a7TGi9o +3bXIKTm+prF3JNck9W9W/7D636n1+XDm3xfdo6LfqfHbgiey3K0z/ZH2/pbm +bdXYFj17+3n9JSHD3xd85u+Kdqz6y8SvSvoyXP3R6h8pW85FOe9rht5t0rzp +qfkwzl5Z/7uiu179Wq3Xxr7F44epx79U8d4WB/3wjPeA/Nxbrfr3qD1T6w0X +r6VqO9Qe1fO8eB3RvMN69mbc8pu9ParzX6nnn9X/m6zHoTmz4nt7s+zfhzQu +9slu9Y/G3tHvD9Xv1fgE/T5ebf0+FGtVh06gG5dqHxfreUT9DrUT9CzQnGE6 +t5O1th3ePaX15qotVHyur6M/akeI3/uhA+9U3P936eoKybxczy9Fs0Nz3xb9 +i2XP3Ra2UBT9GI0P1fhBzTuQs+ydkuEirVWtcx5U8TkdKFs+ZDmmse3V3uPE +2OuB6I/Pmhd83pEud4p+gORZK11dV+c7+h+Nd2j8MfHcrP2t1/g1+Isa+wjm +sk/22yAZ9pd95pz9Tp3Nx6L7tGi2iHZrnffySY3Hkbsu59/o2RUV68MPJHuT +5Bigc2pUO1J8Hq+zXrH+YyHDCtlvm+zubL0/IHvskKyfxP7Y12zRPC+aqRof +pvZoo3yM+oPz9kOLwxclRdvMZK0/s8r7Z++zQm5krtK7Aj5QtLPF5zrxGYuP +GyDbVH94tem5rztEd12tbbZb/Xv726/17V3zT+GLtK9dknE3+iD519W63yua +pXpezFk2xnbF+G9zHp9QZT1AH55Wu15zeyXL78RnQ9F69BXxXyDa3+SsuxuL +to8pJfPaqfELEstC/74Y2xX9NvEeJ76tars19oaeLj1X6G4e0Lw/ac9fVH+r +1mwT7ydLXpf18ceczSq9W4t+qn9+0XbwmbCFhfWW+fzEfPfkPL8ja/rlGY+x +7hz0r8Y+eQl6K16v6v2Naifr/UP1vrfD4Q+wWeIPsYG4MDbrc7hI7SHNOSyC +E5L3aNH2vkj97cREPbeJz5Csf6O3R7TPheI3rejfBd1ll34PzZoe2qdzpmdu +c8nv39W8eTnrMHY1SbJ8T88c/Z5aa/1AN9DjqdFHrx+u929a4hL9NVpjWb1t +7rh072bxHpq3/j5Sb72bEnLAr12yvqx9X1u0XE/HXh7o73PkDHs1f77mXqp5 +68uWER+wQDRXaPxOtYs03qrx/9b4DMkxM+LUnwr23Tfrbv8av1pvG70/NU2V +1j1P53q43u/76XeL2pl6nys6Ts5L7Tfxn+2pdQhd+jI81b9Qc3vUn63nQ3RJ +7dGC+f2d+ldVLNMpjdVUjA3ACMTjJwN7NMs2h0j28drrKr17TjQr1X5X888n +9qi9qdbxdKh+t+b8m36/evc/o7PKVhyPiEurQp6PCn7/7aD5dmp9vzF1fGF8 +ocb315uemIvO7I8+mGG+1mtRu7psH4uvHVZjOcEo3MGk0Jlza4wHoDssHbhB +tGdpX6/q+Vaz7wDfgI9YpvVvE81NGs9r/B+1xt16VuhOlpQdl4nPE7Kmx59M +VH9HzmPlkvW8qPbpkv0G/gNfQIzHD1dE9yvt8bM11nP20pWxvs+LPrhpQfgf +bI8+eIo9Q4POgVNmhF7Vao16yTs8Na65LrAB9/NBve/lhrzPkHjxPdHtU3+/ +7uJt7edvxXdrxX4Mv3ZBYCrO4HLNLWnvZ2v9ctkxABviPfqBD8GXEPeG5I1T +wErEDeLe9MA8rZJxfmq8d29qDLU4MNth7f0D0UzM+Kx3ZazrnG173AsY7Jy8 +eV+dMwYfU+V2cvTRzWnVtilsdEbednqJ3k/PO959qmwfPazsO+jRu9FqR4pu +RNZntTLvuZfp9yOS9UbxvL1oX0l868OcGY+PyVifBuWNxVakxu3g938qej// +WbKfwcfgr7hr7hl/x773ZYyhDtY7XiM/+2b/+HPiCfqDHk0NH4WvAvcRI8F+ +PeE7btf65+lpEK9n1f5V7J+94wfBHWC2bRF3ia1LJWv/LIBNd6Z+l/qT1N+i +/uXqf0n9FvmEXtnFbXnj8KOBX+/JWhfQk+6i43m16N+XTHsyHh+Xs91yp1+t +WJfQqbOqvW9w46fyxiibAw+CC8mvFuSNScBca8S3Svs6K/X9TI/7BR8NzPsc +iLk9EfuyRevUtRXHVvwMcY38hJh4u2S4WvZe32y8Up01hn+kyj4aX/1Qaj0Z +Hf7/vrxlQp77+xtzgFuIyf3zxhKswVxscJX2MUHyDKp27H0l4zU2580L+c+I +PAz6GyJGE6v7pb4X7occCD7v9XNs3xO4YozolmmNO0VTrX1k9LSKb1fe9jk5 +MB0yg+vgMTH41OlO+4m+Re9W13oceTnb+aH/8+otJ/vFT7Jf/F571utckvUz +Ju88FXuYkrOtEIs7I8d9tWT8/nLJ+XFb8AR3doWci1Lb7w+K5nHNX9g4No8/ +h9/pvBlbuTDvOP+R7vFfm2yH8JoSc8nXPwl/0RVYift9MPV9XVb0/nrjLvAb +9Nn36MBwO9DRrG0JO+L8u0PHiM99cqqd299ysi66dn217/Xh1P3ZRZ8Vto1d +418bwscuJQeK3HOu7nI5PrzougP1h4nisYGaAOed2le15Oyv7g2/ulLtoYJj +8ED1f0quJXz/x9R4Bx3H5okdt8ZaBwLvk9dgT/gKzuFrqbHm19X+RM948Xkv +dXxmXWJ0R2B99J84AP7n3tHVEZGvoff8Hhi+cmb4z2cC+4EDOT/OkXMD69Bf +GroAbsEffliw7eMDrjl9vxn7YVp4EhvwH+BJ1j8v9LyBeD7AugKWPBm6RE5H +joc/HFRDUqU7VjNae+1stu7Uab27NNao9d/V+GXN5tGldmKzdZe9MRd/VlXn +mgV7Z336p99XBf9+0Wd8uvR2fLNx9+dqnMOSJywKHzsqcC76jn/YLxkubfYe +XpL/elC0f262fn8SsRB/kgkMT4w9Fr66L/+vdj52NMZ7QrfBA/hb4mBd5Bfn +pu7XFI0j6gNL3BiY7dNF74F9k/uQA+2MnAv/faLWetUmnvmc82rG6fOuJfJJ +/AZ6yH10Rp5Lfkuu2506V92eWlcYB8Pgs6c0WqcPlYwhjqj9ve75y43WRewJ +uwLP4LeWhO8Cq72Uce3sXtnUGuQs2v9NCB/I3OVhI6+JZ0+j83b8JPTo1T9k +TUseytzVMb40bAO7uDzyOPK5vhw1alxra01PvFgW6yHnrIrze+oT6HNbzrgX +/70pfDj5+8rwzzOij+1SKwIDgTM5sxVBw7sVgX82hY3PDrw0Mugfl179ock4 +i1g9LrAoucih+v/PH2h/rPZanf+bTcZk5LTo7G/Lxm7M7Y61NodfvS/67OOE +znJPk2N+R9FnMa9inN8W+SA5AnnFaX/TGr6OOsSfG41D8YHrIl9gT5tiLc6Y +s+Y8qQOsizsiv4CW839A+31BMvy6v7H8jsCZxA/GwHLkVZ3ityVacBG1V3Is +8m30J5P1O8ZXlLzm/2pPm5mXdb0VXaeWSh21RvLXD3D8o+5ysMF2C9brCLyH +bqKjp/OLCbEW7ydGf1mz/RQ+apfOfbxsZUTZeK0n6/t4RvtrbHJeWiiELM3G ++9T71O3zOd1Z16F2hBycAzy6g8/K0B/0aEnJeI16NjSstzXqf2A5fMsu0byt +87sjdT6Bb2DOF7TgLU3OM0si/BeNfayxWVnjYOZznuAwYjQY7bOBu/CLyPpg ++JCzs/ZXvCNOc1acd2eN94nf4dz7atc5+6ATMe9k+KWfS49ei1jPfbVHvXpD +1ue5PvoXxTv4Q9cRNRVyOeRjHx1Ra0X2/oEjWfdk1DYnl4wXfqX2Kt3bwibj +dXI78r32uIee0LfNYe/YS1/ukHVuiY9FlzlT/Meq8CFP6KxbtY/nUtMyh1zj +rqz9KDVF6hmMU9PAtndGDgKOpcbBWb5Wsg/7ne7n2lgXPuTB8MK+8XvrY91M +6trHxoLtC8xPXk9eQL8n8qN5kaeg2+ApakP8Jn8hBwHD3xN9/AfrdEU9YHfw +rJQs0xPSvd6S564ruG6NPlPDekrjd3LnBeOsS0Kft0cc2ab2SMH58PLUmAxs +dlPqHI+c7rbUdS/uhrsnX5mdNUZgnLoYuXlvYHj0p1u61NXo2hL6DD25B7Tj +gp68BH1BDxbEO/wCdfqO0D2wD7YDFmI9eGEXYO0xgbexlVnBH6wMTrol7r89 +fMhVkuXKRtfG9pVtFxeUfRbEW+ITOBwMTswlB+UMwQg9gW9HR82R2iOxbEjZ +/cHhb9rD1sBlgwMbL0ydA5ILHi47ls+OnI/9gH/4psS+sS/wF7aInYKvB4dd +gymgZ+/YxecCF/2hbHvZrXZt1tifvJZvbPC4peQ4lg5wLJsd98dZdcY5Y68H +yz73D8q2jyFhF82p7ZJ8Gr+eCXt8q9myv1JyreyM+P71Sugz/opvcsSBz6e2 +NeIYOf+u07am51TwgR/1qmFRmxqfGtuD8ZcG7iBOnRM01BM/CJk/VHunaOdk +4532+28Nvvv9zcaz3yiZhvnUraj9EF/BTttFc1WTscHY8G/cx4TAzGD2zvB3 +HVE/o47WGfXbIcHnxYiZ6NLcrOtT0BGLuUswxn+VXAOhFjI8+CDPFtlgXvtM +Ir9BDmwCPtBRQ/kFOtzknKwqMDVntzVqVo9XXKub2ehc6h21P2xyHeVgfL+7 +O+x7eOTlJyMXBP+DNbZEvtCr83u2yb4MTDMsak18o7iywTo9Tf07moyJ8BMt +kXtQb5saNbctEcPwQf0jlqET8L6vwfzHRCwj5p4deSU6vzrrd+QbyEQug/5c +HT4N34bOt0YtsS1qQtw3dW7waUuMtcQ4d8Aa2FhjvW0CPIn/BheB88FE6wIz +0e8NjISO/KbBekK8GjjAtgEWawlstqDieub8imMLMQo7Als92GAsRe5Bvknt +rC5yPmzuW0XHSb6dfhS+Ap9BjoIf4psj9dpDjY4h1xQdN/i2QL1lfcg/SuP7 +RPzHkuuK1KOIO+xpfWA//C5y4nuXxPf6kxXXLTeGbNVh79wXuoGuc1aDo94J +HbVPdI3f4Pz7I27Oj5ohuopeM47PbNA59Da6Hk2eN6PRuRm1C3wX90i7NvrU +jFeGz3kmZEAX8LWbA0/iezcEJqGG/W6jMXpH0BBHtmvdI42ui2Hf0ONv8aUr +A+/h84kl4EByyg8abB/PRSzpUnu4ZN9JLY15j8ZcvruuCD1Hl1dljc3Q39Xh +r/l+eLLRtjRB/eIA12+oIaKv7Jt50KPzxLaLI15PiVyWegH6vDb8/Nr4vr+h +7G8S+NA1ZX/vpK5aKDlPJY8lX+Db1qHIfV+Mb8Qvl42VOceRZd/58tgL35/A +RKWSYwyx5o2y8dZZ8Y27GHX+VO3xkvX0jWaf597AwPjiSyIWg6v7vhdkHYPx +raPU7tYdHWt03RxdJZ9Bn/n/iOMNjjPE5H1xRxnRvpB3LXNPs8eOav31BdtZ +U+p4uS9kgN/I4Enda3ngauIGsQE/jD+eE33yG2IeeP7K1NieGvAXUr+jNoy+ +kGuz9ntae6/6F0g3jkUOTi7eEzzQ4adS+50RqXWbMc75sYIxIf97wrevTVHD +oW4MT/AeNgaO7AlcuTvwJJhmavhGxqGhhsa3FL6PEId+WjS2+FnR2JVvOeTV +1GHAFdwlMbkPCyeOo3w7Is7C8/2QYU7ENGL0tqKxyy/VVukAcgOMyY7H91C+ +i84r+fvTmoLjPpiZdU7F92u+Y/+6wTG7PfzgXSHbufGNhziLP0MG9gXGJybj +x4bFfSEPtMRLYiUxc27ICr+7g2drxGVoqBG2Rp+zot8V/MH04Hnql9Qx58T3 +zEnxTfPtknN6vkOCT+cGRgVfzQpsTJxnXfYNliHnIvcBg9wZWIUcrC3wxvpY +l30xdmFgAL6BE29XBbaibove3lry+XMPfbXYwBifhC1gE78IfUPvjsQ360Px +zeSlyDt2nM6xq2xfYIkfBSa9KPwk75nzzcgvdwT9s/Ft5edq39TTrrt8XO3r +Fdsgtoif7A4fDj58Ndb9Tnw/PVaIPCHqRG9pfKL4/Cy1L1wV/pPY+Epgy+tL +1mf0+scl2zf/W9EddW3kAyMlUVdEXwZG7t0W59qXa+RsR301qILvcb74PVRy +Dri14PsYFHN3xB4Whs/PhA8h/uNfwAsPl/y/Awck2/8Bam7jxQ== + "]], + PolygonBox[CompressedData[" +1:eJwll2lw1tUVxm/2mHdJ8m5/K0VQIYpIdYaQuJQIgQSmVdFoRRStjVoZRcAv +gihl6agEWWxRZBFRNrVCqyCK4AZt7bRF6GCV4hJ1BrSEPUEhpEp/D8+Hkzz3 +nvWe/73nnPec5vFN4/JDCG1QIbQ2F8LPSkOoBH/Pn0QqhBngZey9A+9IIoQG +9hvi8M8I4eEohPNRvLAghOPI7qrgfzKEHvBfLAnhg0wIZ6O/syiE7eBsNoTu +xd47hZ2vsLkbO9NY3wB/K3qT0b8sFkK/shCuxP4L8C7H/yDwhnQI7+JvNXsV ++GtCfxx+JkAB3kBkZhFLLfJ14J+w9xzrKnTmsE6i81tE+xNDGt2v8bmP2PZD +/ZBdwLoTWcTCU+CjxHIM+jFxnQVl2GuAl0I+Cy6HhrIuZ10BHgm9jv509m4E +d6C7iZw8Cr8b+qM585nljkdnrIH3PjkdSLwDWN9MDL/KC2EbMd8CfoWY6+HP +Re518KPE/DxnXQENgf85+2vhr2GdRH8mMo3odoFbwFci8yHrInw/wXo0NBve +HOhW8Cjs1Rf4m9wMHom9j4hvBbmfj0wntq8i5o3gH7G3DJkexJrH+hBJakS+ +IOlvNYm9fymffM8LoF3I/hwfc8lFAzpXgcfCXxT8De8Dv8ZeDXq12PkK/Ax0 +B7FeQg6qsN8L/5srnLs1+BiGzds46z3QCPB1yK8h/uHYbwLvi5xT5XI9uAuZ +/yHbjL2T4L3kYx++n+W8E7mLD0MrwCuhKeBfENOGQt9J3c2Ps75rdfB3gXcQ +xzrO26Jc6/sRXzH5qWF/K/F9js7vCv2GWsEb0dlZbJ8PcJ4DyC9B/i1ku/Dx +34zv3nDOUEZsMXJfBL+u1Da/Bjfi/1bO0JhzjIp1Hjrz0U1lfPd0JyvB9chX +YqMu7jfagM7oEudsL/4fQ2Ya8jOgFawPp/3uFfMRcDt7Y5C9G7oa3T0p+5YN +2SrAfh7UH9sDoGp0noG3GJoG/xTy40v8JvU2X2Q9C1/ToZn4jjJ+OzdxvnXw +r4XuRXYZZ5rE2QLrOOupwDHY/j3yc4u89zK2nkamF7ID4C8Ad0El8GYisxL+ +X8lvYaVj05v6O/x5yLai8w/wIqgKXMPeQvAJ/C0OviOd4Dx83l/iM1zPupn1 +HPjb+T53gJu4W0PIb0vcd0Df6tWk74K+mWJW7Bfjoyf2b4v81vqy9wWyn7DX +Vuyathv8Jj4eQW8p+f+Ss/ZRPvF1KTrD0Y2jU42/CfhbjlzftHlDwC+he0Z5 +OF2sryj1NzlBDvoWOKdT0H8o8lupYu9beBNY34Wvl1iPB/9FxJkGk7c/qTZw +lr3gifi4Bspjbwlvpwj7+eBVukNFzrly30HM7UWuIe3gUWnXLuXsJvAv2ZsN +3ozP2/X9iXcU8faKu2Z1ZP3Wvycnx/Q90OkRXIM7hbPOpd6Q3lIB/muDv2Ep +518PjSr1G9FbyU/52+qOFMO7hbPdyJle5r0t5jz/ht9GwzsEnsx5/pZw7VEN +GoSdw/jYgv5x9I+AD0eusaqt68AD0s6d7shc1g9CB2OuWR3YfiXts6rGlbO+ +IefedAk6P7Cuh7+8xDVctfxTbG9B97y4c/IhMt/kW+Yx+F3E/gkyfyixzNvs +LS11jdpIPvsR41BifQ9/mZTv5uZKn0V3NET+dqrBp9BdxLq6wHdgMTiN/CFy +0IjsUOjZyL1DOV4KPpF0T1cv7wm/O7L/qTBeRU7XIjOQvXfY2woeBtXG3MP6 +E89Y9sdhoyDmHhJPuTfqDDrLcqgPOAavJO0aolqyBOrPen7ku3s78T4Jnpzz +XbkUGw/mXKNUq/LRP4rtYnTKYrYp2w2Re4HelN5We9q9vR17HeBPyd9rwW/y +M/DylGuVaqRqZT65bCVHWzhrNWfuFtnXxZyvN7LDku4Bqv0LobMi98bu+DsA +P8n5ExV+SyP0piL3QvWsq8FT4PVGfy26R+DfHfmsmll+DS5M+ayqEaoVI5Pu +ieqFutOqAaoFyvmFadtKEHNt3DbfyHi2eoMczVI/4yzXY2MlvNXQtqxr4xPI +/BO8QTWAmOqw88fIPVy9XHdyB7bGYHsC+nH8nYOPayP3XtXYEeCWnH3lVNPA +VZG/7QFoUuRcNqL/dJlz2ifr3rpeMxVn/Wnk2U01+YrINmRLPfqjlHuGeofe +fI54tmU8W2rm2APvB3Jwke46OTwFXpQxVk1ZCG7C9z7ifjLmHHzHujPps2hm +rY88a2qGHBz5G+tbt+HjG/S/yLhWa8ZqBX+ccu+6XO8z5x6uXp7A/vnoH894 +llaNPAGenvPdVoxLWe/F92/Idx90jqJzUdq+NJNqNp2Z86ynGU6z3CCMHUx4 +djhdo1mfTHg20xvWTKPZRjV6NvpzMu6N70M7c45RsdYgcy6yy6B6zWOsnwM/ +jq23KnxX1bfXpDxrqAerFw9Ke5bUDKlZUjVNtU0zwAxsr8TGEOxtxd4qcDe+ +dzMxtsf8O+GFrHmamVfrvWXtWzrPg4+lXJtVU1VbWzKeVVqhXeDdFb7Durvn +Esd1Sdck1SLNrEp2WbnfqnriVOS3x51bxXBX2r1cPe1O8J/hz0s4P5rxNau3 +Jz3ra2Z/KvJvm2ZiX6C3gf3RyCyJuSfrTutua2a6hvNXpzxr7mdvonpDylgz +s2bnsZFtne7RkWcCzQaqWb0j1wzVDvWjRtaHsu5FqlEHwZuy/u2i32RvZn2X +B1e6dutOx8s9M2hWUA1Q7ziZdK7UQ4bCO5zwbzfNoLp7e5KuPbqD45Oe6TXL +q2brN59+++k3zSbyfzLj2lmkHg2eGvnbqKfkk8+elf4Nod8Op2fQpHuweq/e +vHK3o9y1Ujk8L+u7qBnhILptWdcC9bT94Asi9171bPXu/wMMbfss + "]], + + PolygonBox[{{6082, 4286, 3468, 1418, 5891}, {6065, 2829, + 2828, 3697, 6111}, {5892, 1062, 3410, 4236, 6069}, {5904, + 1478, 3472, 4292, 6084}, {6070, 4238, 3411, 1063, + 5905}}]}]}, { + EdgeForm[], + GrayLevel[0.7681258577149219], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmXm01VUVx3/vvfvGe999797fvfenOBCoKIPS4FqlMpWFFIloSmmiK5Qe +uJZR2sowRQxeCWi5YDkx+MRVGhgKiJnaZDgGBMjQMwdMhgIxNTWxAft+/G5W +f/zu2ff89tlnn332/Os3ado536hPkuRX+mnQuEo/K/VcXpck29IkKQp+t5Ik +tzcmSYfggcJpqSXJYc3CLydJv5xxOjU/PUuSYwW/UzbunnrjbxO8Ov5v1dhf +z98EZxpntyZJTeNmPX317NZ8/5zpdup5RHy8GryN0fiC9h2iucEab2Sd5j4m ++P2mJHlF8EmC9wvuDdw/B/6sfJI81ub/R9b7/UOi2aE9NsW+DTnzNVD4zRqf +1bNEOJdq/JKez2n+sJYkuVjwpYIX1/kd8+tEf0+b/5+rZ7KeOzW/W3ODcl7f +qLN2axwkmoc3W4b8r9T7HD/T/FTNHRT/X2BvwTsEPyP4E6LRIz4/L3if4FP0 +XCj4Qe17tOYnCh4q+hdpvET7/rhiPpfrLgbnzNPixPux7x/hTWuX5L12SZ33 +AWe46O2s950yvhrwRp19U4vpbw54keZ/qn3n1lluI0RvtvZb0eDzQxeaX6/3 +XXKPqwuWHXL7k2hsbzHunDrTOUo48/OWQT89DwveJTk+I7yNZfN0lHTwNOnb +SXo3TGOPnut0rkmaX1lnXqHfId6KegZozQK9v7XBNDn3ItE8VvAR6F7cy6Oa +u6DVutMrGqvqfMYRrdbHLuGdmfmc4zLvtT3kgDyQy7WaO0vvRgpnfGa+z9C6 +wZr/np4H9JyhZ4HkMF5Pu+hObrV+o6vHoPsNlsfNgofnvGZQyJU9T4/3N3DW +gJHbuaF3yBz+kW+P/ndp7WnCOzXuBZ6XhJxWxhlXxb0CbxA8W7ROSKwrs8KW +M8ml1uz/2Bt2hz29WTX8hsb7dKa79JwYsm9vtb08lLf9ZHquF94w8ZJLrbeb +Qm6Py8/8S3S6Gn1Xt+iZoPlpVZ/t3rL9RSXsBbtaGbp0f4N1mHO90mT7xY7h +FZ4504qybfNbordIPC7Uc02d9zsyfMIS3dmlmr9T48I23xn3NaBs+1ys+fcF +v6vzzMjsV4bo+YZwlrV6HFRn/cWW0bf93HGzfRwyQS/hv5jz/e8Mn3he2NEX +a8Z/U/vs1rtd4Tc/FboAT2vzvi/u7Z2q93pbY494earFtK4UfxuE922N71Zt +Bz+Sb9jckSRji7aBxXn7EmiOqbM8Rut5ss13xf/68PO78G+ChzbYL+wp24+P +Fb+PNVnW6EtZOKWcdfPRJusS8u+qOjbs1Lqmmu+lXvBdbZbThPBDzeGL7mm1 +f+E8H0PeOfv97aG33PXWNvswbPlm3eNbuf/7m67wXaNEY6SetxvNZxY6jB/B +n2wq2y8NafVd/6AhfLXgByW78e1JsjezTx0Q/n9+g8+OPq7WuzOE80bmWNcd +ckAXJoQ+zBD9Y8KH/yT2RybXCr6m2T5ia6PjEPb/juApgu8NWXMezoKs2fcK +ybJXfE8S3UXa97Umx0ViyV7J5KSIBweaHBeJeZzr8Ig728M/YO+7iAUN1gPs +b0qjbWJ73jEdXW7VPkvbrKsvNttH4rOI4bMijn868z19RuNpraaPv8G/3VMw +/uGae7/Nsry8YL+Ank3N29c/E34U/cYnLBete4X3u9S4vwg/gv2Bg/5z1jV5 ++5wdwh+tu1iVGZf9wN8vnZ9atGy6NP90i/XqsqLfMb+4YNwP43vBPgLeTpbg +P9tuvv8iumcLXoPM2ywLztUtnLOK1mVsbn3evndh2Bj2RQzfmrcOEOO2RZzj +/c6wQ9bzDnuYmDlnujBznN8T8Ro7GCp4HjIvOL8ht7kqc05wcujF3pAhZzo8 +cpeJEf+wF2znwaA5Iuc8hhyG2LE+ZIt/hg66xLgv4O9qrzu1/wCN38k8/7z2 +HScZnFm0H3q9av37u8YTSjpb0fec1/ic+DtFOP+oWNff1jhQOM+3OwajL/eG +zmys2Db+JN0/RXLu0foponNj2TFjoeZ7dIf1Rfviaua7Wos8CrZtYgRx6b6w +803CHyP8O4TXUzDeIZw1hf/PrQn81fEf+LK86aBv5DK8w2+8Jt5+3W6d+IJo +f77o+39a41NF62+Xxss6ndN8V+MLRd89tvvRvP3bA5LDlqLt7+cax3X6jvEb +17Y4Fq8QzitF68Q+vT+x3fnLbY3GuU33+bLeT+90rvdz4b9YtK2/LHnuEt4O +jQf1/ol268d6ybNX831q5nFK0Xy+WHVe/YLGqZp/smh7WyJ4ktZeRnwT/SMl +03GSxTc1/1zR+r1S85uL1nv2nJpzXCd3+7iemwSPyKzPwzUe1PhB2M68zPCx +sv3lknVTq3Ok4dpjWMgfPoYHjM7mCtZb4te4sF/0CTvBRj4QP0frLNWq8Xsj +R0LWhYL9HbkZ/ho7hcblQScpmD9yCOJ2S8H+cJbGYsE2+uPMPHwytaxLBftW +ZNRRsA/AHhcHTfx1e+QDyGhi7ItOo9trK35fDBz8/OaoG8jnmqNOmR/5KXGC +3Ix85veJ6y5iETqDThBzyOveLvus1G0HomY6MuJbMXI2/Ot5BfuQ2zPDt2Xm +cXzwyXh25LH40HMK9sfEhN7gkzyLM5BXMIcuMY9/RQ7shSwWRT5GXtoT9oid +YW/YXU/4bvz2p1PnJd011xyj8s4ByRnw7eTb0/L2N/w/JzPO2Zn/PxM4c/T/ +P5q/ITPtKYH/Rf0fLnhs5rlpMU9exf7kaX8v+857xMNbZcf3MwU3i7cRgu+u +OW+HDrn7oNS6sKzmeuTkvPNcbAIeiM/EzYOh/+jO7NAf5LcwZLUwYhPwmsi3 +kQ/j0rAF7gD4ksjpWDM6/FtPzC+NtcDo8K2hxzP1XK/nyznbHLUr9RE2sSDu +enzA6AA8drOGe8jsx0ZmrquaYi2yYf20Ou/DfhfnbHMzw+66o04mX5oauQAy +byS+6O4fzuwHlgVP5ajfyUvpIQBTB82Juoj6aB1+odV5FHUc/5m/MGLrqNS0 +lsW+0NgYdMhfeiNH6ht9Cub/VXPs/HfoHnpHLro+6LMP+emKmKcWpJ6/P85I +johMNgVN+g8f1NwvSDLbLDjY7byc+aQ+OFRj4AMvTR2zJ6eW0T2RJ69tc8wh +HpGvYTPoLLLEl5NnDpXP/nbJst+lfVchI/mZV/Tsls95RHNP6P2AduvgssjB +yMX6yscf3eH7R+fuiL3ga3nwtrrkPaD/eORJTZl1YXnc3S/xO5qvZM5z18Ud +bWk0P+TAp8qmRund2eKnPnOPpS5zLr8+5ExttSp6Vqwhf8Y26WPRTxgcuTc6 +i+7R88FvoDPY6O6orf5Z8Tx+ZVfMg9+nwT0s7oR5/D3ypB7qF3TG1ZwLkRPN +qLrWvq5q34yPppaZXnXddHXV+Tww/RDWHRN7ER+IAcSI68MukCH3Tl5DLUGt +wNk4V/+oDeEHH9wS5yxF/ww9Xx38o2/Uxae2uTa+tera7DaNT7Q5FxtzqGbK +udZgn1Wh83NDpkdF3boreEZmyPRQ764UMoGPYsgc3GLUueh8R+AAl6NO/IFk +mAr+TOr/peCfsRz43G0afbq17c5dyFteKjq/Id6iU8QhclR4pn5EVsMijuAb +x6Tui52nPccXnbvfFWvwm/hDehJDA34Ufe6wfyO+kXOcFHkxOMTHkaGPh+Q3 +IvzM81XH7D9XvT/2MiTyW+oifCR16chYuzTiJ3z+UHztLfpe8UXEBuICdnlF +yba5PmpbbAf757zo/xU643niY2rVtRnxmJh7vNbeX7KfX1e1Tqyvum6e1+r8 +YVPReRu6SH3X3ereyA7NHSe8i6Tnjwge3OEYQUyfFThbi85fyaeOK7t3eQT+ +W/M3dLqO3Fr2uhMyr5sda08Qbx90um4jD2Vfat29Osvrwt+ncWDqe/gc/T/q +vJLtpi11jvW3iv3M5PBF5GrIjToUHScvJB7e3eY7x6YGi8bxJeeIS4uuVYg/ +6OvS8J9Plyw75HZJu3Nf9vtW6p5IPrON3h00OyWbWsl6R467JfqN+8uOe33w +Y6n9+w3Sw6+k7u+cn9pP7wtf/Ymye75nUNPUTOdAzXUa/pAe2I6i6wFqgcWd +lgsy6W13TUX+S30wqOQa4UTx9v2S+UCvZ5cs0zVR45AfoFOjQq8ONBpGT7nz +mSXfHz0AaJNXz0jdZ5wlXRorng+S02huYrv3Y69Rgvd3Oh6w5rHom/2m3bUT +dRMPPEIb33la+E9ktyh8FDa0NuIOc0/E/O1V93fuqNoO7jlk+9H7JE9+r9E+ +BF+CLo8I/z8nZ/lTp381dY/9Ao0DUvd6zk1dn58SOH1r9nnP6azbKrY1bG5n +9Mjw8cdl3gO7IYYDsxf9W/q85Cn4fmyEPOqvFcPYzZdE6zC9m6lxgvYaAo7g +/1Ttu/Bh9NLYl9iEHpBrkndcnfl+sDPkBz4y/F7VvKGzl6TuLU9KfbfcMXd9 +Yur4s0e8NKReT0w7UDHOe1GLvxe9qh/WDG8pO0elNiHPnB457tUap0Tfj/5f +Y+pvDOtE52W926A1L9Xc14Qf6um5Oec2wNg9MZ74TiwCJhcjfpIbEEMv0Pqr +tNf5Gr+mZ4bgDu2zuew74q6QU5+I4x/ma83uNWKb6NaY8A/XRB/0+Mz23Ra6 +MCfu/ZbI18kVZ1at8+j+canrwxsz1/D0aJDDmMy2hd/ijJwJvZ0T+Qq+mnvG +R1PfnZ5aP4mH2OHG+OZC7faT6GOjz+yLTs+KfiL13czQmb/q3KMz2xz+htxq +SsRTZDw3ZIsNfphb6BnbYvueHzF2XsTZmzPD+KrJUYMTs4gV4BIvsBu+VXA+ +dOT2ZusSPgC+qTd/m3rdVRXXN/jkydF3wpfBT3fEAnw+PQzOxfoFZdel9LDJ +qcm5yaupi/CN2OVLor9A/1/U+M34XsB3A3h5J3T7O1V/79lece+Mu+eur6za +xgeE/ObHffy3bD0jd+uOWoyYS98CP3xT1HLwMThqvjsjL6J/R21HLED2p0c9 +Qk0IXlPqHgg05oW+MI4OfPT59NA16sJBkZNsjHqE/HRE7EU/45jY4+ia7Qs7 +4zsG/V7WU2vuju8q00NWyAy/Mix8I3lin8gVeX9Y6CR54uA29/G3Voyzr+zx +iMBHV/pHLkoNjF/7R9nfOhYEnbmh9wPDlvtGPjkh7GpQ5NXwT/6Jjm0IPcMf +4ZeGiOdXU+/LfVJ7U4O/rr0+UjPNN8qO03vi+yj5WL/IafFPN4acyS37R678 +Zuoc6A2NV1bcA79JdBZX3FNbVIm+WmP0Uhr9XRyYegnZ5uKbeP/IV9F1dP5H +ZZ8B+yLHo9blWxK9X/J5vgHg3/5Q9TffZ6uO/bwjfnWm/r7Jd0768vBGbwf/ +BT51xvfjmxrf1sjTrwma1wV96DHOiHn0AJ5vCf3DDpDJoppzL3qB/y3ZL6yo +ec+1sS/v6U2Rs71a9p1tC53ivrFVbLk3cF4LXUF3qO2IH50RA7cETO+pK+h/ +tmbZron+blfQ4bvOW+FzDjbav+Bb6AtDc5Po/7Fimhs0/g/gNEOu + "]], + PolygonBox[CompressedData[" +1:eJwtl3lwleUVxt/k3gSSe/mS3CUfKIM6LO0QqrUybakEEJhCQSMgdqEF21SG +hA7FikuhY11AQUPVgSpBdp0pSsUZlC7CWOsEa1tAgUQHalgqm4SdgAaLpL9n +Hv44c8/5zvqe97znnHtd7cwJvywMIZwCksC9FSEMLwvh8XQIFcDpTAjXJEKY +2iWEWytD6CwPoalbCD26hvDnVAityK4CBpSGsBnoj/5u+JNKQtgE/a98CPuL +Q1iB/gV423MhNBeF0Btne6G/ArwahTAXW7fgL4Yux95g8GpgDj4Xo3sdQZ7D +1vvE04R+HTALWwno7vB7ACXIPoj+NeiPQ3ey7PGtCt5xYtiDfndge0EIlXwr +htcFiME3w2+E1wP6eugO6JN525Ttu7G1Ig6hFvph6FHEsxrfPRRTgWPoCm8N +30bDW4v8K8gXZuxLPuTrY+RPFNuHfP0PaCFPfdBpBA/oHIa+A3op9BzyvY/8 +HCY/k/l2Av2e/F7Exhnw03njN2KvJ/L3cf5bOP+j+E8DSfwfJlcD0R+J7d3I +5wodQyv4omwIzyUsc4B8nsr77D2v+Mqh00E8U6BfwVYx9PFSn1Fn1Z3obi6j +cx78LPAF+DvYWwh/PTGNpVYWcd+vgrfnLVtPvP3gn8m4tk7A/5RYhgNZ8M/R +n4/8AqAh6W8j4O3nbGPIxwvE0FTqO9BdtIEXxc6ZcncEuhC6IDa+lfMPQrYD +fjP0N6BHwJsC9MV2CzmYDH41cBN0b+izyC+PHWsf6HboucQ/Df5g6MfAJxLT +IvDuwB3go5Bvg78Cun/Wd6q7lc+L4E/rPUFfDf8T+L04z3TubHzaNXuab2fR +f5bz/z7nt7gJ/qNJv8kDkWtCtXCEM7Qjcx7ZRmI8C34v/rfxfTswC/wC3yJ8 +FaL/GfgO/B9Et5pvvYinFn/V8ge042cd/LtUX8SbR38/OoeKXCOqlR/pjeGr +Dvmu0Nvgbyjxm34ffB7fGkp8hjNZ37nufjvf9oHvrTQuGcluI4cHqIcu+Pwn ++KfYmI78Kvx9DX4rsBi8H/zFxPYt6GTaZ9RZh/BtQ4G/PQP9GWf4TqltbsXe +f6GroDdBPw/dhv5J7M9A537wHN9GJHymSZX+Jt5voX8GXZY1/hDwU+gledtS +D1EvWZp371APUC94DX/7I99NREx5vvUqtg/50h3prjrIV0fOPVG9cSjytxN/ +Mf6GJFyTfWO/5TeR+UHSb3oG35qQvQBc5OwPY/PmhGvyEfBhWdey3syzyJ7L +uJZXAjXE30psWyrc2w9ho7fOh+yN6r+qdfiz4E+Af6zUb1JvUzk7Br6DmFuK +fOeHsJfM+i0MgP996BLo+qRrZl/OOVPu1DPL4Z3Hdv+ke1wnvMegx3DG5/F3 +15WZoNmgnHVW+G3Mp967pv1GjhHfE9AHE/7WgM0lyF8GxnLWnthqQGcGvJq0 +bb9X4buQj2rkn0R2EPBj8Ps58zHOXgtvN/rN2H+9wr3zI77vUv8s9Ay8Vr0f +nVXcdSe8BnTXwp8Ivwp7l/J+E3obepPnOP9J+L3QfQP5B5G/lHWsl+F3wh+Q +da2r5xzN+Q3qLX4b+KHeW9a4Ylbsk7KOXT3mJmy/G3lmalZuxEcb367C3p3w +P1Q/IKY44R41C/zpnN+S3vgz4HuY1VUVnr2a2VNVf+g+BQwBP4i9MnQbiXck +5z+aca/Tm5wNfw42bwCfiPxv8taRrnrKz8Frsb+c+ypL+12/Bd1W7t2glZp4 +ipxcJu4Avy/yUzjP1Arf3bvI7Iw80zXLW5Brynm27AaWaXZq1iOzGtkXgb/E +ngVD5Qd8PvAE8V1C90nwXWn7kO1BwC+IZRr0IekiMzryjNFsWaoZEtmHbGvH +GQt9AHoL+DJgMvo7y4yvQL+m3DuRdiHtNEfxdw/fPgRfBFSqP0FPT3nHWQDe +jPwa5Eug66IrsZc6plZiHtbNM/cd8JeBP6Q9Q97W243dC9QD1Qvvi937VaOq +1X3QJ8s8w/8KvjHju1wCLCeXy3LG9Yb0lrbga2C5+792vNuIZyUwTTZLjQ+C +X5fyt13QM6HHFPqMfbJ+G7pT3e3Huj/4P4F/UHFy/h2R71I1sQe6vcg7wpfg +Q5FdA78e/kzgBPTfurlWlAO97ffg/ynlN67c1USOTTn8POfeKpuy3ZzxLqGe +9UHOsbZEftuKWXeZilwLulPlanrk3qecqde0Rb4b9RydZW/k3qkzfQ/8HLzl +Ke8kt0e+c921anJ15BpTbelMqyKfUWdTDmeXu4ZUO9rx1Hvry/2W1YNVKzvK +XIuqmd9lvPtqx9Ku9Q/sfbWbd3HlRLH8uty5VkyDuYPr1auIfS3vZXjsXr8Q ++mXocbFnz2vQf4Ruin33I7F5CnwJcGfaM0ezZyMwHt5z+NgM/vesd13VpGrz +AeiHCqzTCP0rYpxa6B55D/jWnHcP7SSfcJYazXBsr4deh//6vHuXek4d+FWV +fuvqYUfU22LPibnYfxG8Kutdax70S9B7kGlLuaert2vn0+6nnnY3sv1iz0LN +2C6aRxnvdo+gvxreRznvZuqhxzPeebX7yuYD8BfE7iWacZp1G6C/Sz5Wko+3 +wAdm3Ou1039B7G/ybTG8Uci8Dv54pXcxzZSdyI6HHpZ0D/0S+pvYnJd0Tm5D +/j95/3fRzq7d/W2+rcPeOOy9Ab4s9uxSzpX7hbF7qXK+HnsrY/93UQ9UL1SO +lCvtk6Nj51C51Iw6lXEOlAvtG3PAU7F7u3bGDzL+D6H/EvpPNrvSO7R2adXY +zbFrTLV2g3KuWlH/SvlMOttY6OqUdwDtAqo51Z5kJsSuAdWCZG6NXaOq1a9D +D1MtVnrWaudJaHeN7Us7jHaZobFl9Z9P//20U2q31H/Qf4P/H77qJ4g= + "]], + + PolygonBox[{{6077, 4254, 3427, 1130, 5927}, {6075, 4245, + 3421, 1119, 5958}, {5957, 1153, 4484, 4266, 6079}, {5928, + 1111, 4480, 4243, 6073}}]}]}, { + EdgeForm[], + GrayLevel[0.8592118483081381], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmHlw1dUVx38h+0telvfy8hSoDQqRMrWtC3U6UDt2qpalIoJVoKWgwpQB +u8hSWy2hddAqGAguuBswSHCmQl2SoBbELDLTsVVbO0ItCigGWxZrXVCBfj9+ +j2P/uO+e333nnnvuued8z7l3yOU/vfgnA5Ik+YJ+CtUfzSTJvNIkmVifJCvV +r1C7uCBJdhclyfNq40W3lPo/xlcEPUGTdxX6+0L112j+KtHDs/5/VfDcXZIk +zaLHam6N/pussRniHa92pcYPaf0pFUnytOin1JaLf6r6a6Xfd+pN7xXP2aXm +nyQ5Z6lfoHaD6K+qv0LtLs37vvjniy7SOg31nvOS5h7PSUd4RZ+psTPUlur7 +Eq17WypJRur7pHrLfSF4zgr5Q8v9Df2A+q+rDYMuN83cxqDR7fFCy6+WbbtE +v1Jkux2TDt9Tvytn3rOD/xN9l4ler3U/En2yxk4RvVJz0xofo+87SszzqOjD +KeuD/htKvN/HRB8V/5xirSn60ZokOViVJLnKJHk7rzPSd6f6qWnJFX2RdPqv +/msRfX+FzxFd0XO42jy1RrXe2iR5Q3wValM0d4Q2NUFz90r2dZrbr7mdZUnS +oXaj+N/U2Ai1mZyn1jtP/aXqm4q8nxVqU4vsA//R+XZr3jC1tZq7Xfv6ttpi +0Qdkz26108S3X61fra3Q62DvU8XziHibNTZLdFp0pVqP5twpm8zWWIfsf5Po +36mtL/CcuQU+l378Q3MPZ3xWnNnS8G18Fn/eLHkjUrbFIK07sMzzH5RN9mj/ +b2lv/9R5HZT83er/mvVZ/039VdrzlyVjdd5+/c4Az8VPhpV7D4MkZ7RsNU9y +zq2wb+FX92nNUZXm+yBn3UdLz/fr1HS+76nvKjMN/3F9Xyf5n2TNy34HJbEn +0UMK3N8QNPvgGzvs0Zx90rlZ8r8hukNzJqofrdYn+ofqOwstE7+sk17bxf+c +2pGc5Z2csT74wU6ND82YF1+eqT1UaHzHAMu4KeQ8WeY4J8Z3aY29mvea+nGa +26f/l4negN9oj2syXnNusdddWedYJqZXiF6m8Wb1yzPGtHc0ntPc5Rp/WGMX +yp7bS813S4nXxbfplwVNfN1e4ljD/xkfLPscktzDmne69DlUbPqiAuuB3SaL +7kwZt/Cv+1P+j3H2XRl7JzbwXXiwUWfECzpgC9YbqfElai2yd2u5eThfaLCG ++Q+qb4yYwScHq00UT1JhGj/j/1PLHDslFaYniGdzmdfC5ow1xjixh7wNifeB +v+KrfbFWk+h76r2X7jrriizsgw92xbkz74/h6y0VphnrkR7vljoe2+U/J1b6 +XPHBgaE/8bal1LYn/rZGThkre44t9zf2RA5njG26wj6sNyhi80ihdWOPA8NG +yK+RPs9EbOMH+AO57bWIX+KYfPJisXF+jLBuSI3n/UF0Q43nP1HouMLv3x3g +GB8n+q2IfTCAXETOIx89Fbbk3MldYA6Y35Q1Ji6Qn54jHz1f9GLRt2GbSmPs +vXXex+P6f0excQi/Aq8/xW/915ox7+X13jv8xM98zd0t+s/6f0PG/HV5n//m +8LeGwGD06Ut5P+yF/DAt7TlZYVRBlXHwMs0/HzvmjdFgLDn9S/qu1viT6tvz +jtVntL9nJOeWtOPwBMlZWeU8f7zEZ4D9X8l4Hws1b1qR7YkeH6U8Dr1Lcjam +7U+zc8aQWeqvzBnTrlA/SvIXS/4oyV8rYKuuci7BFmAjeIhdb4tcNlr8/Wnn +mTGiPxSdF/84rbVBcxdLzk5iV61dayQae1rzhotnsHhW6XuqeE7U3BfT9tG0 +xl4WzzniWaT/Nqp/VuNfFP/eSvsyuIZO98T54MvdEr9VPO9VGqvulswP8IGU +sRd+9Ce/k9vhX5h1Hn1b/STxH8Vfxb9HcuZW2X747Ka0/XZR1va9J+/4aw8c +HxwxQgyB1TPKHWN7Nbcr7TgBm8EIapc1gRdgxYESfz9MLSn+76btB9dr/WJ9 +XyD6WcneVmZsnaLxy6qct9tjbqvauqCReVBnd5V4Pk55/nMp+0lj4BlY9G5g +Cra7VGt+s9Z1xv60z5Uz/XWVfQJ/qE+5dsBfsevYWtv2g7TPnnN/U+Nzam0b +fApsAjeofdpq7TPUPk21jrc1eWPuiepvlpyvVRvTDmjdtbXOk9RG5HJibJro +rpQxbneVawjqhx9FziX3Hkv7LDlHajHOnlxJPlgcsXax/p8u2z5QYXzuLTd2 +j9P4eI03aXy95J9XYx+khsIHsdslkdPJ7eDYbzTGPeCUcuci6oH3pcNkyVqi +uYvqXE8uwFcjR5Ort+SNiyPyro2ZTw1FDBOzOxTTa2S/VrW2AuMrvtIh+qES +nzd17GgtuFprXVNprKRuI1eCTcOj/iSvoBuYnBNvdbVroy2VxiZwiZw5PfLm +OVE/cmfB56gNx0R+QSY56yXJGC8b3YtviT63yncAYnRgreN0Utb5eHLWMT8v +6oIbA8ux1a2ad1KNz/ZYoeMTv3whbVwAE66WTTZq7GzJeSRtLAPHDmp8m+ju +vOuafVFTUR83R07Bp5bW2q/2SLfXapxX51U5zonxzrRjlThtThtzwdu1EavE +LP747yr7ZEuVsRgcBm/eqDHmzApc/VD9ulrHA7GAv/QWuuahDj8U9c/cqCOx +wzvFHl9X6HsNtcpn96PWoKldHoi6d3bWvjdd/ccZ1ygNed9phoYvkd9bo+bp +jroHP6cGmBkYRa4gb2Kr4rzjknzYGPzUNivy5iHHUk9Tf5Pv8FnWwq/a1PdE +LQTeg/vcp3qUU3tFvy49Z9Ybb8HdG2M+c9EVGjssyjtnkm/BPLDv0agtnw0M +ZJ3eWGt/3EG4i4CHrA2Wog/6s29irjvuR9z1dkY+AleGxV7wF3wZOxD/xD0x +vynlPAb+vZjx/WJpvfPW3ArXJvgo9w9wCX+itiCGwcSmkIOvtMT9vCHlcwZP +f5xzPT0nZ//jzgdWgy0dgS+svyR0IM65b6P3/IgL4gPfwbeQS/7hfMEBzphv +6satoeuWuH83hi+BGTOCn3PeGLEDxmwL+6PLE1Gzga1gJ/sgP5OLZsX9iLqu +Ou5N8IONrTEOvTiwGGxpiHss2H5n1C7kWGSPCvnsuSFyD3bkfgoOb4r/yEfg +cz7qhN9nfN9fnrfNhgTfD7KOuTlZxwCYT67sCZnoz1hPjJPbkInsT32u/PM7 +cm/kgiGpz3VERjp0uzXjd59XtdYZWcf2YeH/XzJ+d6iQbnsyrpP/pPHf6uwf +1hrX5yw7HXfwrVnXF9SD29Q2C2dezfveT97DbvsyfrsZKJ88Nes3pl+I/pfG +/yH5f+eeqzmrNHdX3vdAsLAk3hUOxPsA6/bFvsiblUXOneOyrpcW1hkTwTnq +ziEZ+wL3V2oj8B7/4ny/HeeC7AlhQ2K2LeKR2OCsqUsr49xmhV9Mj7cyYrct +8OeXWY+/FbjUFzhGXUOugh98PRa5g3xLHuF+2xM5hXqP/EOuo/5nz92xX97V +yFNj4+7D3slx7P9I1I7r4g0FP6QGIZ8Nj/sgPPD3Bw9+djT0QQdijNxIzmuK +2vmztxswaFLceXlnIn+BT+DUY6Hv/aEztVpP7GV/xrUTNRT6doUOQ/RdqvFP +Mr5LdUX9A8+RqIduj7jGz/E71qKG5G2B/6mTudsi57R4Z0Tfap3DsniH4u5F +DqZWpe4Fj8ClkYFvxC82o2ahdiGH8qbAHm6RbidIznHx9WecYw8Ez8/Es1r0 +z3O+F/OmQ+7rKfscy8HdKYG9rHN+rAUOnVlhLAdHLwgs7Qj55AVqddadGLm9 +PcbBKOot3q+IS2omctMVcT9amHN9xZ0UP1mQs4zTM67H1ocNqUHuK/F5gUOr +4z0EPODO9nzUWXvCz1/PWb9vZXwO7SFnSc4ym3KuHfHpljpjc1PUOPNz1ufq +nDH8rtCNswW7NwQOt8a+2N/aoHmrXhO15bU5j/8qZyy5K2pIZDwU+lxdappc +MCPeB8kpayJPtMZd9s7QAbmsC+Z/JeOz5e2WO/LHcU/GBrvDDuT2O0I+ebgv +cjFxtjlqx/6oozriTXhX+Hxh1vpdUu/YAhvxV2z9XOADOLE96tojGdc9vC/e +nPeb6tCs36Cmhl+NjFqYvWBreMZEnbAi6I1Bo+fLOpudOqO3M/bBe//vXbU5 ++PELMBnfoF6YFjUD9phRYZsciz2CG7xXIJMaHmzdEu854O3WeIcZlrVu7APc +3RTYi9/dEb6HvP7ApbagsWFd1KfkGPCpMzCK91tsyzs22Lwx8uPsmM/cA1n/ +vy/rXHV7+FtvYHBH4O2O0J/9fRTnjg12hB1Y58I4R+b2xd7Za1dg7P8AKAx/ +YA== + "]], + PolygonBox[CompressedData[" +1:eJwtlnuQzmUUx5+1uzb77v723d+7777urFCMolRmomY0KSKLSFFKNZVJF7dF +ZFWjmXJdmjQUMbQxE6lGaoQZucxUE01y6cKucsm9ccml9Pn6+uPMnPOc6+88 +5znfX9kTL/Z7oU4IYRWUA01OQTC3Qg/A/54O4f6sEI7XDWEv/M44hFM4FCVC +aJMJ4VXOlqFbDr0G3z9l3xl5IbSGry0KYTF0V34IW6FJnH1AvGrsJ2NfTbxr +sH0H+UXkhcSsLCBOdghJbH9TDOINgcbDV5SGMAv7Kug65A74lxNv0zUhfINu +X+oqD21E/gv9ntwQdkM/lYQwEn3rLJ/tQF5Ovo/IV4m8DP4MNVymlhryzcF3 +GmeF5JpFPa3w7Q59muWaL2H7BDnKc1yzar8J/UlinYCOE/8CMW7AN49+laH/ +C/0g7Jtzdhh+GNQn66oP9pdi215H/YuIfYazs+j24LMD285Jvj0K4WFsnoMO +xu6N7kx3d55e/wi9R687ou9JjCeptT10ANsdBb4T3cWd0MnYtTyFvhe2Y8i3 +hnqGkbMCvmFxCNsKQ7ivHoR9Lvlr8N8Cfy/xe1FLJ/Sb851TNav2uuguEnsu +39yO+IOp7134SdA9OT47j/4XYq2jprb4fgldzzfMzvMd6643yJ5YD5HjKHzL +lO+ikhhTkb8jxm7msYCc87HfWGI+Ac1D7k/9/+FbRuzJxLkJ+75832Xk+vhf +i9wC+U3u/GnuMyJ+ebZrGId/Cf5dqHEcNbZSD5DPES+Dfzn0B/34Ankr9r2R +i1KeXd3x0FL35jj+F/PdI70JvY155BuV9oxoVk5BN6PrRryd2K/EtoJ6s+hv +Y2IsyHePxmL/HLZbib9esZCn5npmNbst+J4yvucN5KeQi/Bvg/8n+X6Dn6Of +QL8GUcPd1Hci9t13gpoj74+tm4b/M/h/S/ztxB/NWS756lPf99T3NrEGUN9E +5EbEfx/5UMI2sr0Faqp49Hgg+m7o1ur+I9+l7rQztI+zHshJ+HXwQ4j3SmTd +Qmi53mCuv3EmteQQf1Sed452z9oCz9CV2YG64tuOeF/ku8Ye2H+WZZ8Hqacp +8fdgvwbdYM1V5Dejt7KCs8q0d9OH0CT4f4nVr9i1aIYqOHsf3QH6X0vsJsTs +SOyT6H6g1mbItyEvhLYj/0zNv+TaR76fEK9Z0m9pAzazI79pveVB0BJy1XB2 +ED7Btz2v+0P/eMIzNDrj2V/JjI2Cr0U/Af3fdezTl5pWZ3sGymLfoe5yOvRs +2rPQE/tJCc+EdqJ2o2o8EntnanfuJ0dNyjtHu0czUIt+AfrG6AP+h5FHEHNu +Xe/Ij/UWodPU0gefCupbRn1nC/32lHMWci3fVZW4usOQTyMvgL9APZ1S/jbt +iJkZY4KwQTlegp9PvZuzPMPvwe9NuVZh1I3kHpP27OuNj057B2gXNMF+mnZd +xrtJmCHsGJZ2b4QJwoZ/0t4F1cjn4GvSxr7VyPvgT5b4rS6lxg7Yv5429gnT +hG0NMu6NMFJY2Tbj2dZO0W4ZmPFbECYIGwZQ38g8Y4qwpS/ycOQlyLfHnkHN +omyy0VeVeDf3Rj8LfmypsbAf8jH0P0G7crzTWuL/KPLmbGPMI/CJjGd1CvII +5IalxgbtUO3Sl8m3mHyLoPHw/2hemMnKhHdeJXx3vf8C495R7m8pZw2QS6Af +Y+8SvQG9BfVIvbqyw8m9LfZu0JvR2xmC/tUsz+xjwkNivVVoPFbMrpx1TRgD +z/K9q5jdY5FzbSH/lFK/NdnI9lDs3a4Z1azOiP1WtTO1O6vwH1To+dTM6W0N +jzx7emPqiXqjHkzg+0emvauFocLS+RljmWZ8V+xdEiLvHu2UvcRbQfyv8zzj +X2X8r9SdsyPwd/B9h+GP1fMctI99l7qjAeQuw39VoXeD5kZYWxgZq4W5uhPd +jWbkX3x/TflfRf9I+ldag++fxBiaMCb1gq+OjCW6w5XomyRdk2o8Hrmn6mWa +nl4ixsQ6fmM9Y2PPp0nrhEFFRcZEYWFnzrajb4Q8POF/hOnI65PGQu3tQ8jz +io2V+mZhRbrYvsKMucXGFGGJMFbY93DkXSwM1G7bHxlbtOMOpDzrmvGDKc/i +pmLvSs3khpSxUf90+rcTFjROercKE7rAz4m8+1VzW+TXI//LqGfTY++KGmgU +8/I/x0+PqQ== + "]], + + PolygonBox[{{5908, 1104, 3419, 4242, 6072}, {5894, 1407, + 4485, 4281, 6081}, {6083, 4289, 3470, 1420, 5909}, {6071, + 4239, 3417, 1103, 5893}}]}]}, { + EdgeForm[], + GrayLevel[1.], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFl2uI1VUUxc+Mdxzn3jt35s69dyZDIx+gRZgGmRplZL4+pZKPyvIxk4+x +h1E++lJmSCYEVgaVUYqhVmqZjpqZCakQmIFGpvlE7YGVfqs0qPVrbQnmz9n/ +c/fZe5911tr/Mz2mPzHu8eqUUqkqpU4aX82mNFt2Lz2HcilNzqe0P8bDOdsT +ZU/Ss1Y+k0spDcmk9JDGgznPb9RY0Ptjmr+xJaXLTSm1yp4o+4js+2V3lX1C +fkPk31yX0teFlLYVU9qrud7yOSqfb0vOSe4O5dqi2obJPiv/UXnXQQ1zNA7Q +07mLYmT9G/M9FOcWxRmrOL8q38eNKe3R2Kg89Q0pDZLfP/WqVe89tW6Tfh+s +95Lmn9P4kd5f0Ppa+XZucI5Pss4zU/GP6v0v+YzQXFe9L9S4XxjuV7yuWl+f +97i+aHuP9ri2aHwua12NYvbX/Gite01Pb8V4u3NKp8BYh/Kb6r6o/AuaXdeO +omsbqjh3FnxWTwqLds3VdnF97YHDYo2v552XeFPzjkm+OeGD/6OxFl/WcDa3 +Ks+Dir9Z8a+onpdrUrpOa0/mfGbEOaDa7yq47q1Z1wJnwHJn3ngel+8U2RPk +v0b+ZfmPBWfZfWXPzBrP/lEPWLO/tZ1cy3/4yd6Q8x6wD2rd9qJ5CG84w4rG +CzrXFcJ0Z4v3ejLq7CcOnFPcU8KyorXvKfc45ewje6PsGVn7soY8k4XzTQ3G +4YeoH06e0frzmvtSZ3Gixr/1Uz1T5f9mo/ndJvvdRvM+JyzGKPZ28WFunc9p +vOpZVGW+zAo+w2XsZ5RnVc7v6A+c9iVjNF9PXnPd9MzLOvbUasclJmdOfDCE +g+OCh/jOCP/pdY5FHHKci7x/VKT72pT+1Nga8/iyHl4KprQ39txfWM6Q3zJx +opfsEdW276k2Ni/VuJ7hel7U/LBq13lRdkXjqYrtkxqvaTHXBzR5rwtiv20V +r+2Jdkvmwu/llKpV48qIychazrcja66hnfYa8xWuwo2WOvvgj83aO3S2bxSN +N70hU+t626OHoIXu8EI+94Y+juU8T0+qqfW+4cjzRfMEfmVrvddrxYFV4sAm +remj+leo/vnC73MBua5ojqGnnPynyb+gOEXND1aesuzxskfmjQF7puYHCtYk +erxNY1OD+yDnDQfoRaeF2yWtOVPxGjSBHumvg/L/49EcOLTGOe8V5oNU81uq +eV/ONbXVGUP23KWLzxR+1YY9v2ys55V97vigcfgLx6bH+taIz9gWfEMfj9Rb +I/TOYsF6oNc+W+8eAJbw5CrHGdnj0oy/NWiIeNRKTLAcmPE7fQJu0Ct2iWMr +FfdsfGuagw+l+KbBLfaMdtEyfZlz48zqox8QZ7fWr1ac0y3mIusGlKwJ9s/e +p+j9dtkPa1xTZXtxlTUEN9HR+zlrslvoES2CD9zvXmX+o/Xrq/wbeiPH9cq7 +Lmdt852ZFN8+6oWL6I8ccIhezNmjifYqzy+O77n+0jvN3tPPTca1EtiCK99Y +sAXLpYEzfW7v1V4X35INgRNnCFb0yOPhxx2AbxbfX/oB2oAzq5sd4+8m9zf2 +Sj1ogXODL/DofPj3y3gOfIh1IeP90H/xOS2cfyp5/seS+9yY6HXTos/CDXrh +6OiH9LazwXs0jw7Ahf2DA70ajlRCI/QGdIgvPfLujLFmfxdij9Q0IvCn/trQ +AvsGX/ayJONewzkMzZgbcGSZsPoqa9ypeWBgjt/wqI245IQ/9BHw7ltyH6L3 +kps70siMeTm+5Dg3N7kfjMp4b/Dqw5y5RR9YGf2T89oYnN+pJG2N5ul22dMb +zTtik4M64eoHOfOVe9mhmEdPh0NTE9SjKg2+h3Vwr+Pek3P/210wf+AM3AIr +eLMvOAZ+x2J+hvJ/VnA+7hfLc+bOU5r/rmA/nuPhz12kI/RGTWC7KO6xy6JO +vtXT6q35X5qsBTRxpcn54en3in2k4J7Bfe2LgjF6umLc5lXMka1x56F/bYlv ++ua408yM7//msNHjttAk99wDBe8bLh0M/JeXrYdXyuYp/RSu9mhxvZfjXsyZ +E4eePDe++2MiDxzmfvRNwWcCBiMCB2qdHX0AvY8MzV8s254t7kxqcQ/uXzJn +4SF8vKHF3zru72uCo8SBW3CMvPAUjcDVhc3uD/wfQK9ujW8C3F8SWkDj7XG3 +3KJF9zX6nHbI/lTPetmzNLerYO7S98AK3Z2LmGBOrdR8qWxO0TPhA3wZG//P +gP1Vvf4LlV2VoA== + "]], + PolygonBox[CompressedData[" +1:eJwllVuIVXUUxpd6ZkbnnLP3OWfP0SYSHA2UBGt88JY6YZFKD6mYUZqWM46X +Uh+a8fIiZIQ5IFgaRPpgFOYlhdTGsos9mCB4gZJywhkd7GJEjG95iez38T0s +WN9/Xf5rr/X9125avn7BusERsQrJIberEUPqIp7icEXVIr2rNqIdfUzFeg0+ +d8GjwdvAOfAd8JU0oiWJeLc+4gTy4YiIrYWIxiERf+LbjX0s9nZsnUgzZ3uJ +34N0EH8SexX7AmybkPuc5cm9oyZiZ4Pv1N09FPswsf+B68G/gieAW0sRp4g/ +mI94aBD1gxvIOZsaRoKnZxFv4zsJeS5zzap9IriJ+A78LxB/hvirSCf4CrgX +vQ/ZXo6oI18z+V5F9mFvK0asJf4o9g/AL4Nbwd8rHv/viD+C/jz+T6D3EP85 +37YLKYPH438c/WkkxT/BPhXf6rCIdeQ7jk8X8T8g5bJ7rN7KZzG2R4g/Bv4M +aQAPA29En4+MAw8Fb0BfWW99FTkP5312mxwvJo6dhywveQbq/Sf49GM/n7rW +ucgk7p8B3sz5Deq7gd5TcO3nkH76eYtZVuFML/rX5F5JzlGDfKdqawcfyrvG +buyvgBux7+fsffIvA+/L+46Z2BeBd+bNqVtw4E16ux8+TWR+lzNzYQ3xP6Iv +LLkm1aKebRweMYB9N/5jsY+Cj71waQL4HvPu42w7+Dd8+tFPcecS7uwmfjRy +Hn1K0bMUJ06DHyx61prpAer9hrNP0YvEfpWYc+KavrGTetfoPvI/Q/4vE3NU +3DyAvYv418G/oL9G/E+JOSju6ewL7Bc5O4ueYb+UmBPigs4+Tj0jzUZvRr07 +mnrW6qF691FqLqiHb5BvLvg9Yl6gptrUNehucbomNcfF7cfEwdQcFnfnIMXU +HBU3p4Ar6KWy9WkFc/FuybHi5Bb1quTaNbefE8fIV2+qkppT4tKTBb+FyWXr +ehN9cGig1m9cb72Dft6rdU83oLdyNrjOO6gN/UhqTovL2jHioLioHNeq5trJ +xNwW56Yyk7eo63FkWebZLyr7W8UBcXckOZ8tmMOPVrw7tJO0m5Zmjm1B2tFv +VrzrtNMegGvjMnNP+2ETXPy3Yu5pPzRhb87M5dngAb7nemYuiqNnhntX3C+a +i9oZbSXvUO1O7bhvE+8o7SZx8Hfi/8qZ83+jv4RMy3nnafd1Vr1r1TP1bn7m +3aceqBfTqW9Wzv+Af7Bfy7xb9Ub0VsSds2VzXRxanbl23bEEvXGEeaWdr93/ +ToN3t2am2emN6q2qxj/QW7hvTs474zr3/Q+r9uBx + "]], + + PolygonBox[{{5975, 1123, 3425, 4251, 6076}, {5930, 1133, + 3429, 4257, 6078}, {6080, 4272, 3455, 1155, 5976}, {6074, + 4244, 3420, 1113, 5929}}]}]}}, {{}, {}, + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{4668, 5623, 5624, 5477, 5478, 4643, 5626, 4644, + 5076, 5075, 5095, 5094, 5101, 5751, 4903, 5750, 4904, + 5752, 4878, 5930, 6078, 6112}], + + LineBox[{4671, 5600, 5601, 5597, 5599, 5598, 5630, 4654, + 5087, 5086, 5089, 5827, 5088, 5828, 4656, 5920, 4859, + 5793, 4860, 5921, 4858, 5975, 6076, 6115}], + LineBox[{4939, 5237, 5238, 5236, 5265, 5264, 5631, 4655, + 4949, 4924, 4957, 4956, 4969, 5359, 4913, 5358, 4914, + 5360, 4912, 5976, 6080, 6124}], + + LineBox[{4966, 4958, 4959, 4921, 4945, 4641, 5625, 4642, + 5476, 5475, 5493, 5492, 4657, 5912, 4840, 5790, 4841, + 6049, 5913, 4823, 5929, 6074, 6123}]}, + "0.8999999999999999`"], + Annotation[#, 0.8999999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{4666, 5713, 4861, 5497, 5498, 5499, 4977, 5899, + 4815, 5661, 4816, 5662, 4869, 5323, 4834, 5077, 5365, + 5366, 4929, 5765, 4817, 5663, 4818, 5664, 4847, 5708, + 4848, 5096, 5097, 5098, 4981, 5729, 4879, 5728, 4880, + 6047, 5730, 4768, 5893, 6071, 6122}], + + LineBox[{4814, 5235, 4749, 5617, 4748, 5786, 5315, 5787, + 4812, 5658, 4838, 5707, 5490, 5491, 4902, 4948, 4947, + 4992, 4839, 4985, 5085, 5084, 4755, 5621, 5262, 5263, + 4778, 5909, 6083, 6126}], + + LineBox[{4937, 5718, 4868, 5505, 5506, 5507, 4990, 5504, + 5503, 5502, 4867, 5717, 4936, 5628, 4775, 5487, 5488, + 5489, 4781, 6028, 4901, 6026, 4900, 6027, 4991, 6004, + 6003, 6002, 4919, 6031, 4670, 6014, 4857, 5997, 6039, + 6040, 4982, 6043, 4824, 6005, 4825, 6006, 4777, 5908, + 6072, 6110}], + + LineBox[{5375, 5116, 4683, 5003, 5275, 5276, 4788, 5700, + 4835, 5479, 5480, 5481, 4978, 5333, 4842, 5332, 4843, + 5334, 5494, 5090, 4750, 5239, 5055, 6056, 5056, 6058, + 6057, 4769, 5894, 6081, 6108}]}, "0.8099999999999999`"], + Annotation[#, 0.8099999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{4577, 5526, 5527, 5400, 5638, 4610, 5639, 5528, + 5529, 5401, 5640, 4611, 5641, 6045, 6046, 6023, 6025, + 6024, 4873, 5342, 5343, 5010, 5344, 5817, 4612, 5956, + 5753, 5754, 5618, 5620, 5619, 4646, 6044, 4851, 6009, + 4852, 6048, 6010, 4820, 5928, 6073, 6066, 6127}], + + LineBox[{4598, 5579, 5580, 5576, 5578, 5577, 4597, 5967, + 5968, 5803, 5970, 5969, 4918, 5965, 5966, 5802, 5964, + 5963, 4596, 5887, 5888, 5785, 5890, 5889, 4665, 4964, + 4965, 4926, 4963, 4962, 4595, 4952, 4953, 4925, 4955, + 4954, 4659, 5959, 4906, 5801, 4907, 6051, 5960, 4905, + 5957, 6079, 6067, 6121}], + + LineBox[{5268, 5103, 5104, 4996, 5853, 5854, 5804, 5805, + 4605, 4569, 5367, 5368, 5361, 5363, 5362, 4872, 5721, + 5722, 5396, 5397, 4607, 4573, 5325, 5326, 5324, 5860, + 5328, 5847, 5327, 4819, 5767, 4930, 5766, 4931, 5768, + 4927, 6032, 4928, 5980, 5981, 5982, 4575, 5925, 4870, + 5794, 4871, 5926, 6008, 5710, 4850, 5709, 4849, 5915, + 4645, 5351, 4908, 5350, 4909, 5352, 4874, 5927, 6077, + 6065, 6111}], + + LineBox[{5660, 5615, 5616, 5612, 5614, 5613, 5657, 5595, + 5596, 5592, 5594, 5593, 5655, 5951, 5952, 5800, 5954, + 5953, 4899, 5949, 5950, 5799, 5948, 5947, 5955, 5880, + 5881, 5784, 5883, 5882, 4660, 6007, 4845, 5791, 4846, + 6050, 5914, 4844, 5958, 6075, 6068, 6113}]}, "0.72`"], + Annotation[#, 0.72, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{4570, 5369, 5370, 5105, 5107, 5106, 5633, 5269, + 5270, 5111, 5113, 5112, 5636, 5272, 5273, 5117, 5119, + 5118, 5277, 5761, 4915, 5760, 4916, 5762, 4862, 5716, + 4864, 5714, 4863, 5715, 4865, 6030, 4917, 5998, 5999, + 6000, 4988, 6042, 6041, 6001, 4866, 6015, 5335, 5257, + 4771, 5255, 4770, 5256, 4776, 5891, 6082, 6061, 6107}], + + LineBox[{4604, 4628, 5421, 5420, 5611, 5610, 4602, 4626, + 5417, 5416, 5591, 5590, 4600, 4624, 5045, 5044, 5229, + 5228, 4594, 4623, 5040, 5039, 5216, 5215, 4589, 5411, + 5410, 5667, 4822, 5496, 5712, 6013, 4856, 5994, 5995, + 5996, 4987, 6038, 6037, 5993, 4855, 6012, 4935, 5905, + 6070, 6064, 6109}], + + LineBox[{5644, 5535, 5536, 5534, 5538, 5537, 4579, 5540, + 5541, 5539, 5543, 5542, 4580, 5135, 5136, 5134, 5138, + 5137, 4581, 5140, 5141, 5139, 5143, 5810, 5142, 5811, + 4582, 5702, 4836, 5701, 4837, 5703, 5711, 6011, 4853, + 5992, 6035, 6036, 4986, 5991, 5990, 5989, 4910, 6029, + 4934, 5892, 6069, 6062, 6119}], + + LineBox[{5898, 4622, 5651, 5409, 5562, 5561, 5650, 4621, + 5822, 5306, 5032, 5207, 5206, 5305, 4620, 5821, 5304, + 5031, 5205, 5857, 5204, 5303, 5770, 5769, 5789, 4821, + 5848, 5500, 5501, 5267, 4780, 5266, 4779, 5632, 4968, + 5408, 5407, 5560, 4726, 5093, 5495, 5260, 4773, 5627, + 4772, 5841, 5261, 5842, 4774, 5904, 6084, 6063, 6120}]}, + "0.63`"], Annotation[#, 0.63, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{4794, 5159, 4695, 5158, 4696, 5160, 5378, 5162, + 4697, 5161, 4698, 5163, 5379, 5165, 4699, 5164, 4700, + 5166, 5380, 5168, 4701, 5167, 4702, 5169, 5381, 5171, + 4703, 5170, 4704, 5172, 5329, 5704, 5705, 5482, 5483, + 4649, 5706, 4650, 5080, 5079, 5100, 5099, 5102, 5756, + 5757, 5755, 5759, 5758, 4881, 5933, 5934, 6093}], + + LineBox[{4805, 5297, 5851, 5296, 5027, 4725, 5199, 4804, + 5295, 5294, 5026, 4724, 5198, 4803, 5293, 5292, 5025, + 4723, 5197, 4802, 5291, 5290, 5024, 4722, 5196, 4801, + 5902, 5903, 5788, 5901, 5900, 5924, 4664, 5873, 5779, + 5896, 5895, 4669, 5554, 5555, 5551, 5553, 5552, 5629, + 4651, 5082, 5081, 5083, 5824, 5826, 5825, 4653, 5916, + 5917, 5792, 5919, 5918, 4854, 5971, 5972, 6092}], + + LineBox[{5393, 5054, 5053, 5052, 4747, 5234, 5391, 5048, + 5047, 5046, 4743, 5231, 5390, 5043, 5042, 5041, 4738, + 5227, 5389, 5038, 5037, 5036, 4733, 5214, 5388, 5035, + 5034, 5033, 4729, 5209, 5317, 5665, 5666, 5316, 5331, + 5330, 5485, 4652, 5486, 5484, 5764, 5763, 4923, 4951, + 4950, 4967, 5354, 5355, 5353, 5357, 5356, 4911, 5973, + 5974, 6114}], + + LineBox[{5862, 5371, 5829, 4673, 5508, 4674, 5108, 4782, + 5271, 5831, 4680, 5517, 4681, 5114, 4786, 5274, 5832, + 4684, 5525, 4685, 5120, 4789, 5278, 5833, 4688, 5530, + 4689, 5129, 4792, 5961, 5962, 5777, 5871, 4661, 4989, + 4662, 5872, 5778, 5923, 5922, 4663, 4960, 4961, 4922, + 4946, 4647, 5259, 4648, 5823, 5258, 5078, 5092, 5091, + 4658, 5346, 5347, 5345, 5349, 5348, 4882, 5931, 5932, + 6118}]}, "0.54`"], Annotation[#, 0.54, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{4783, 5109, 4675, 4997, 4998, 4999, 5372, 5115, + 4682, 5000, 5001, 5002, 5374, 5121, 4686, 5004, 5005, + 5006, 5376, 5130, 4690, 5011, 5012, 5013, 5377, 5133, + 4692, 5852, 5016, 5017, 5319, 5681, 4826, 5432, 5433, + 5434, 4827, 5682, 4693, 5544, 4694, 5545, 4793, 5742, + 5743, 5463, 5464, 6059, 6094}], + + LineBox[{4813, 5233, 4746, 5609, 4745, 5839, 5314, 4811, + 5230, 4742, 5589, 4741, 5838, 5313, 4810, 5226, 4737, + 5581, 4736, 5837, 5312, 4808, 5213, 4732, 5575, 4731, + 5836, 5309, 4807, 5208, 4728, 5563, 4727, 5834, 5302, + 5846, 4806, 5649, 4831, 5685, 5443, 5444, 4832, 5442, + 5441, 5622, 4761, 5840, 5452, 5746, 5945, 5946, 5467, + 6052, 5468, 6089, 6090, 6130}], + + LineBox[{5386, 5187, 4714, 5185, 4713, 5186, 5385, 5184, + 4712, 5182, 4711, 5183, 5384, 5181, 4710, 5179, 4709, + 5180, 5383, 5178, 4708, 5176, 4707, 5177, 5382, 5175, + 4706, 5173, 4705, 5858, 5174, 5320, 5683, 4828, 5435, + 5436, 5437, 4833, 4944, 4943, 4994, 4760, 4975, 4795, + 5740, 5741, 5461, 5462, 6086, 6088, 6099}], + LineBox[{5387, 5188, 4715, 5019, 5280, 5281, 4796, 5189, + 4716, 5020, 5282, 5283, 4797, 5190, 4717, 5021, 5284, + 5285, 4798, 5191, 4718, 5022, 5286, 5287, 4799, 5192, + 4719, 5023, 5288, 5859, 5289, 4800, 5684, 4829, 5438, + 5439, 5440, 4830, 5194, 4720, 5193, 4721, 5195, 5341, + 5744, 5745, 5465, 5466, 6060, 6100}]}, + "0.44999999999999996`"], + Annotation[#, 0.44999999999999996`, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{4587, 5549, 5550, 5546, 5548, 5547, 4586, 5156, + 5157, 5153, 5155, 5154, 4585, 5151, 5152, 5148, 5150, + 5149, 4584, 5146, 5147, 5144, 5145, 5814, 5816, 5815, + 4583, 5677, 5678, 5676, 5680, 5679, 4640, 5245, 5246, + 5243, 5244, 5812, 5813, 6087, 6128}], + + LineBox[{4588, 5556, 5557, 5405, 5645, 4616, 5646, 5558, + 5559, 5406, 5647, 4617, 5648, 5200, 5201, 5028, 5298, + 5818, 4618, 5299, 5202, 5203, 5029, 5300, 5819, 4619, + 5301, 5910, 5911, 5686, 5688, 5687, 4635, 5067, 5068, + 5030, 5247, 5820, 6106}], + + LineBox[{5634, 5509, 5510, 5394, 5395, 4606, 4571, 5518, + 5519, 5398, 5399, 4608, 4574, 5122, 5123, 5007, 5008, + 4609, 4576, 5131, 5132, 5014, 5855, 5856, 5806, 5807, + 4613, 4578, 5672, 5673, 5671, 5675, 5674, 4634, 5065, + 5066, 5018, 5849, 5850, 5808, 5809, 6105}], + + LineBox[{5659, 5607, 5608, 5604, 5606, 5605, 5656, 5587, + 5588, 5584, 5586, 5585, 5654, 5224, 5225, 5223, 5311, + 5310, 5653, 5211, 5212, 5210, 5308, 5307, 5321, 5690, + 5691, 5689, 5693, 5692, 4636, 5249, 5250, 5248, 5254, + 5864, 5979, 6117}]}, "0.36`"], + Annotation[#, 0.36, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{4572, 5512, 5513, 5511, 5515, 5514, 5635, 5521, + 5522, 5520, 5524, 5523, 5637, 5935, 4884, 5795, 4885, + 5936, 4883, 5938, 4887, 5796, 4886, 5937, 4888, 5876, + 4751, 5782, 4752, 5877, 5986, 6017, 6018, 5457, 5458, + 6098}], + + LineBox[{4603, 4627, 5419, 5418, 5603, 5602, 4601, 4625, + 5415, 5414, 5583, 5582, 4599, 5985, 5984, 5983, 4877, + 6016, 4876, 5340, 4898, 5338, 4897, 5339, 4593, 5413, + 5412, 5574, 4730, 5835, 5445, 5747, 5775, 5776, 5469, + 6053, 6054, 6091, 6101}], + + LineBox[{5652, 5565, 5566, 5564, 5568, 5567, 4590, 5570, + 5571, 5569, 5573, 5572, 4591, 5939, 4893, 5797, 4894, + 5940, 4892, 5942, 4896, 5798, 4895, 5941, 4592, 5878, + 4753, 5783, 4754, 5879, 5987, 6019, 6020, 5470, 5471, + 6102}], + + LineBox[{5897, 4615, 5643, 5404, 5533, 5532, 5642, 4614, + 4940, 4932, 4971, 4970, 4976, 5403, 5402, 5015, 4920, + 5364, 4875, 5734, 4890, 5733, 4889, 5735, 4891, 5337, + 5336, 5531, 4691, 5781, 5073, 5074, 5738, 5739, 5459, + 5460, 6085, 6129}]}, "0.27`"], + Annotation[#, 0.27, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{4791, 5844, 5845, 5843, 5279, 5009, 4687, 5128, + 4790, 5726, 5727, 5723, 5725, 5724, 4979, 4632, 5429, + 5428, 5431, 5430, 4633, 5126, 5127, 5124, 5125, 6033, + 6034, 6125}], + + LineBox[{4809, 5218, 4734, 5217, 4735, 5219, 5322, 5694, + 5695, 5446, 5447, 4637, 4984, 4638, 5449, 5448, 5697, + 5696, 5719, 5240, 5241, 5059, 5251, 5771, 6104}], + + LineBox[{5392, 5051, 5050, 5049, 4744, 5861, 5232, 5318, + 5669, 5670, 5668, 5907, 5906, 4980, 4639, 5451, 5450, + 5699, 5698, 5720, 5221, 5222, 5220, 5252, 5977, 5978, + 6116}], + + LineBox[{5863, 5373, 5830, 4676, 5516, 4677, 5110, 4784, + 5731, 5732, 5422, 5423, 4629, 4983, 4630, 5425, 5424, + 5427, 5426, 4631, 5063, 5064, 5057, 5058, 6095}]}, + "0.18`"], Annotation[#, 0.18, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{4667, 5884, 4756, 5772, 5865, 5866, 4757, 5874, + 4678, 5780, 4679, 5875, 4785, 5943, 5944, 5455, 5456, + 6097}], + + LineBox[{4672, 5886, 4765, 5774, 5869, 5870, 4766, 5868, + 5867, 5773, 4764, 5885, 5988, 6021, 6022, 5474, 6055, + 6131}], + + LineBox[{4933, 5242, 4759, 5060, 5061, 5062, 4767, 4942, + 4941, 4993, 4758, 4974, 4787, 5736, 5737, 5453, 5454, + 6096}], + + LineBox[{4938, 5253, 4762, 5069, 5070, 5071, 4763, 4972, + 4739, 4995, 4740, 4973, 5072, 5748, 5749, 5472, 5473, + 6103}]}, "0.09`"], + Annotation[#, 0.09, "Tooltip"]& ], {}, {}}}], {}}, { + DisplayFunction -> Identity, DisplayFunction -> Identity, + Ticks -> {Automatic, Automatic}, AxesOrigin -> {0., 0.}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines -> {None, None}, AxesLabel -> { + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + FrameLabel -> {{None, None}, {None, None}}, DisplayFunction -> + Identity, AspectRatio -> 1, Axes -> True, AxesLabel -> { + FormBox[ + TagBox["x", HoldForm], TraditionalForm], + FormBox[ + TagBox["y", HoldForm], TraditionalForm]}, DisplayFunction :> + Identity, FrameLabel -> {{None, None}, {None, None}}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLinesStyle -> Directive[ + GrayLevel[0.5, 0.4]], + Method -> { + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, + "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + PlotRangeClipping -> True, PlotRangePadding -> {{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, Ticks -> {Automatic, Automatic}}], + StyleBox[ + "\"max(min(x, y), min(1-x, 1-y))\"", FontFamily -> "Helvetica", + StripOnInput -> False]}, + "Labeled", + DisplayFunction->(GridBox[{{ + TagBox[ + ItemBox[ + PaneBox[ + TagBox[#, "SkipImageSizeLevel"], + Alignment -> {Center, Baseline}, BaselinePosition -> + Baseline], DefaultBaseStyle -> "Labeled"], + "SkipImageSizeLevel"]}, { + ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, + GridBoxAlignment -> { + "Columns" -> {{Center}}, "Rows" -> {{Center}}}, AutoDelete -> + False, GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + BaselinePosition -> {1, 1}]& ), + InterpretationFunction->(RowBox[{"Labeled", "[", + RowBox[{#, ",", #2, ",", + RowBox[{"{", "}"}]}], "]"}]& )], + TemplateBox[{ + GraphicsBox[{ + GraphicsComplexBox[CompressedData[" +1:eJy1nQmYXkWVsIEBZFVQloyAG6jgEnBEFAFLRh5FBxyWwAiKLApuIApCAMUF +SAYRFeF3Y//DCIQgYCDdxAZMOkl3OglJL0k6nXR3+uvtS+9hGxgZ8f++qvue +wzk3dzqO/Hl4nuLUrVu3zqmz1Tmnvn77eRefcv5222yzzQ/33GabanvzQZ+u +/Dc3bJP9S3C9wBtqLqr8t9w9bxU4Pt6wVuD1qUPgV/5a/bdR4F/E93sFPrAK +3twv8Lz4+qDAn4ofHBK4I84/IvA34gLHBE7/NjtY8QQ/YPCzz1sFBj9g8AMG +P2DwAwY/YPADBj9g8AMGP7tPmx2s++bxtPjVO/zqHX71Dr96h1+9w6/e4Vfv +8Kt3+NU7/OodfvUOvzwfbnnfPJ6tAoMfMPgBgx8w+AGDHzD4AYMfMPgBg5+V +o80OVrnaMh/W5/ACtvvX6vav1e1fq9u/Vrd/rW7/Wt3+tbr9a3X71+r2L68n +tixX9bl98ngBgx8w+AGDHzD4AYMfMPgBgx8w+Fk9t9nBqve2rCfqc3zn98nj +BQx+wOAHDH7A4AcMfsDgBwx+Vm9vDkV6fMt6rz4nR57v/D55vIDBDxj8gMEP +GPyAwQ8Y/Kwd2hyK7NKW9Xh9Ti94OfJ85/fJ4wUMfsDgBwx+wOAHDH7Wrm4O +RXYW/Lze9nrO6wUvR57v/D55vIDBDxj8gMEPGPysn7A5FPkN4OftkNfbXs95 +veDlyPOd3yePFzD4AYMfMPhZv2dzKPKDwM/bVW+HvN72es7rBS9Hnu/8Pnm8 +gMEPGPysH7c5FPl14Of9BG9XvR3yetvrOa8XvBx5vvP75PECBj/rl24ORX4q ++Hm/x/sJ3q56O+T1ttdzXi94OfJ85/fJ42X97M2hyO8Gvy37cd7v8X6Ct6ve +Dnm97fWc1wtejjzf+X3yeLG+WQXniVnZesfdOH3Pj+N9C2+W50X9/rs8t/03 +OzpPBNuPH639tPTT+nmKvmPxzX8ntXU5etj+ubnn9Cf8G2Q8Lf3wl39u+a5Z +xtPSDz/65/QntFbLeFr6Lf/qc/qPj//TIeNp6Yff/XP6L4wL6ZLxtPQjH/65 +7S/JeDtfSeTJP7f+WZ+Mp6Uf+fPP6U/zDch4WvqtH6HPrT9RlvG09CPf/jn9 +N8V1DMt4Wvqt3dPn9L8jrmNUxtPSj/7wz609GpfxtPSjb/xzaw+8nMwtlAPa +Ij63+jfPx7RFfEpbxIe0RXxGW8RH1m/O8wltER9YPy2/z7RF+0hbtE/WDo9n +9Jzj9Oic7HlNRucFOTgNX5zRoSkHfzMOfzrE7oNacnD6TltI067JwRH9v7Zn +9FyfgxMdOzN6defgtJ6ejM6lHJzw4TzTl4MTHgMZnQdzcNrfckbnTTk4fWco +PBbnHc7B6Tsj4ZNx3rEcnL4zLnJi7W6N7JeVn1kOniv7Yvev2c3bLHLHPvGe +1ecNAlt5bJP3kCvmBUYu2UfeQ86YFxg5ZV95z+rpDieHG2Sfec/KYZfA9jzf +6/hjwNmdAWcnBhy/lN28ZWcXyo5/hmVeYGsHhhw/jcq8wFbvj8h7yDXzAls9 +Py7vWX1b4/a1TuSZfvYRfkCebf9a2X/2hf2z+rPDnbc7nd3tEnn153Crl/ty +51b2w54Ty+4cpTD0Qz9CP/xDYOTT+9ne/tFv5aVO8AYGT/u8JDB42PEDAoMH +MOsEZj3AVu/Xyf6xz9ZeNjh5bJD1AbM+O35AYNYHbPmywdmpBlkfsNdT2AfW +zfqsvik5/usTmPUBsz5gu+/Nbj+bZX1ej/7PerIuR9ciPWn91Q6njzpkvcCs +F5j12u+NF/Kd32dLpy7nl3YF6892OX3WJd+3848X8rnnK7+PXs8j7+gFS4+S +o0fJ0aPk6JGXM8/Xno/8Pnm7gn/AOlkPz1mP/d54oZx7ufJ87PnE75u3Y15v +eDn1cuH5zvOB3Ze8HQS/Ij3l9YKXQ8/nnu/8vtt9yOtBr3e8nHs58nzt+crv +q7fT6fsTYje8HvZ6z+sZL8derjxfe77y++D9AruuiZyfP5nfPZnfi11hXusn +ql9h4bacXwHMd1kXeoB1pe/0Sr/1J9AnAzm/AZh1gxf0AS/8J+8HbHl/a5xf +Vef0W5PYCWuHOwQ/6/fqeRV8ab0eAl97zuxzcqqtP2+Cr8U7zze0W+bnGtlP +8AUfb78tnrqf7Bf42PV6/Vp2cqv5A7sva53e3+D04kaBbd6szuWZ6lxeps7l +Mepc3L8uFxfBTwS2reaRoavNszbIeoFtHq/B5b0aXJ6oweVVGlzcp8HFCxpk +vcCsFzrTD2zj382yXmAb/2528e9mF/9udvHvZhf/bnZ+ebOs1/trnq7AVv/m ++cTvg/UPNrhzYoc7r3QIPsDgAww+wOBj/cXNOX/O84Gn8/987uoXObTn0C5Z +H7A9L3XJ+qz/uDnn73m+9Pvu6ebPgT5PiZ6w9Cs5+pUc/UqOfqWcXHu58Xzp +99Xq436nv/rd+bPP5fX6XB6sT9bn/UEvt14uPF/5ffR08+fkIj3m9YSXQ8/H +nm/8Pvlzuc37lQV/7y96veTl3suN51PPF34fiuICXm97vej1jpdbLyeeLz0f +8H0fhyiyG14ve73n9YaXUy8Xng/9vvi4SPx85Txu4wdNYt/xG4FpeY/zkvVX +9JyHX2n9Fz1npXUsELok//LJbB3zxV+054bu7HmX+Hs2nk58dkjw8Xre+yne +D01+XY/zW/pyeRn8FO9nEp+DXviJ2CX8pTRve/Z8nTsfDzg557zGOa6czb9Q +6GX9dez4sux7jc6fIu7bko1vFTjRa3X23Y1Cb+uHs8/Qp+T0KPFR9HK/wGn8 +QEa3Edkv6Ah918VxY9k+j7q8kMa7oLPN42Hve2Vf7bmhU+js4xE2rzDu8jbj +ss+JjhMCp/UtzuVZ4O8kN0tkv9J+5OP+wKmtyeUB/LksvVdfGIf3frqPy/tz +mY/Hbzkvw/w9jj+6cnF8L28275uPo/tzgY+r+3Oej6f7PI3Nj44Kv9n8rMaR +vXz7+h/OwchXbfzeSqEf+hGYfUDOkXvrV/WKPCV69Ql+Pm9l/QPVC/CJ1wP2 +/NYo6/Z6zsabVK5Zl89zQSdg5BS5TfRaJPyOHobvLTxX6ApfI9eW70tOD5Qc +fXuE7uABnL6j/Gr3eUBgm8cdEbqDp+VL1V/IIXixHxavBoF9nQPrhx8sfr25 +vL7lb83zA285b7vcxWfgg2bHh5oXt/Yb/uhzemK1+AvwPzD7Y/3MAfEP4G9g +W8/YKfPZONFakU/rh2hdIPyOfFp8VwgMneB35A9803iVT+hk9fty0e9evqyc +9+TkyfqLKj/Mb/2IxY6/emR/gG0cd0TsFDD8g16APtDBzr9C+MPqCc27W/7t +Ff6ALsgv/gV+CPyPfNo8Yaf4C74uEvmzfvqQ85PVn7D+cpfbhyGhO/orfW9c ++Ac6pPfWi/5O3+kQGP6BDmm+TaKf03cU5ntpHZwfNsh8rNfOPyTvWz+3LPoH +fcv62Qfobu3DWuEvG2foEnx8/hY+sHrSn8OGBD+fb/XxVtZr63a6nH0eEr/K +nw/8ecDSpUv0Pv3obegK/0FH62+r3YR/07rbcnYSfsX/9XbR1pd1ihx6/xH8 +kBvshrVr6meBJ63VA+WcnwMdbDsi81t+U/8COkAX8IYO4Gnlrjlnv/mOzcPo +/F4fo2eYH/uGfWG92A/Wa+tI2oXOdp9V3mzcQ/NnyI+Niy0XfIBt3Ge52Dlg +GxdZ7vJcy13eabnwh7Uva0SOWY+V61Luvhb2mX1jHotHhzyHrnbejlxcwNOF +95FLv07e57mnI+/78xj6B3oBQy9rX8dd3F/3hfl9HAK9xvzAzO/vp9j8bJPM +4+tOwYPnng94H761/lZZ3ue5r0v1cRbPV8yPXvR0tHI7nKODz6t5PmV+5N3v +C/Nbfb8853+k/oncPvI+z7EX2AEbH+2Wddv11uX0auJ/PYcnvtQ4SnpvUc5v +t+c89QusXsRuqh319WqW3/tyfoM9dw3l4iS+Hszy6XjOrwBO31sjdszWQ1Df +pXEby6eah05yPVe+j35nn4CtXW1y8YAmZ7+aHH2I76icebts9XmT2DErl+O5 +76OH+D6wz2MX5T2L8OK5jy/ZuOOA828HXVzE2yW1Y1YPdLo4yQahB8+tXHc6 +e7tB6MVz5NT7J4yHnjxnv4v21Z6TS7I+q99HnJ5Uufd8YenS5+jWJ/Pb8+qI +wJ6vLN3y++LrDjwfWjrm96ko713Ex5bOw7l99HT0eHs5YD6rHzpdvFr3Ablm +371ce7mycdY8X/h9tXmpfBzV192gt5K+mhB9jL5FTtO6WyVuXRTXtnxUcvKo +cemiuDV4WH06P5e3wO7Yc4yeU2wd1lAub2HtGN+ZEL0DvknO1gl+Vl9wTis7 +fNbKPuLHWb7eILA9XzWJHfN+mp2v143vc3qy3/HRoPuewtafb3L+eVOuTsnm +CdUvAbZ5vKYcX4M/ehz8gcEfGPy93ofPbJy2lNMLNh5Wysm5zYOWcnJr4x+l +nNz5OhwbJ+9z52V/fu9z9xv63Hmq7OzckNPHI6I/vN3weRTvRxAnYLyP6/j8 +qbffyAet9Xfydaj+fg/yYv28ZlmPvSek8VDW5+/TMo9/j3E27tTv9m2+y/9o +Xi/N05j1K5zI2OTwJY6DvPYKnPi0lMu7pfVRF6/wz+N7Y24falw8VfcDvcM+ +eT3k5c7rIeTOx4XtvfBOd4+609077szxVZHesucsH9dpysm1j4N5Pebl3Muh +12te7r1e83Lv9ZqVl5KrL9js5GSt7Jc917fl4gA2zrtaYJ7jR/EcmOf4STwH +5jl2j+fAPIc/eQ7Mc/wKngPzHLwSu2ocBdjGp9e6uEkpF2fxdsDTvYhOwNau +cI4fFH6z9m8gFwcAP+gMzPOifQDm+0X35Kw+9OsaLNxHYOZn3UX7Csx47FLR +PgMz3trFgVzcxtZ3q10r4hNg5rd2NU9nYOb3foWNWzeJf4hdQM8XjbPnlvm5 +99K66yWuQZwCe+HjFrYepjF0xnaV02fdAuOvWr+5q3Cc9Qv1vbQezvv+XrfG +QZAP7FNq+1w8fdjdtxx2cY+hwnHWrxnK1ZegB6wdW+PqFdRPIG5i82cLBGYf +2Qcbd2qR8Zbf6sTvsPmRjlz8xp9v2BdgG5/tk32x9qrb+UVd4tfYc8wmh3e5 +4Hw0LLA9z44L3ZETG6+bcPHLCRnP/iR+n+XguaLf8UfQ68DQi/ctPFfOV4y3 ++esaF2+f5eC5zv+vcftQ4+zILAfPlbiJ/V5JYGtHZjl4ruw3420dU42zA7Mc +PFf0P+PR+3a+srxv4blyLmA8et/ONyzvW3iu+M+Mhy/sfKPyvoXn5s4d9n5D +TS6PDoyeRN7Qk8gVMN/1dSs+z1VUx+L9DPaL59AfGHoCQx9gX2eIvAEXyYm1 +ezWFclMkJ8CML5Ibe59preDLePgT2NrXtUIPnsOP9v2yjLd5RM0H2veHZTz0 +5Dn8Zt8flfE+Twp/WfzHZTz7wXP0G3CRHrH1dTWFeqVIjwAzvkivWHnocXTX +PC3P7T7pOZrnNt7j64T0HAVcpMcs39QI33i9ZuW31/GB8lUR3/nfGfB+rr1v +31eoNy3f1hTqUS/nlg+Vz4v43ucVivSwlYuaQr3s9Yzlc5WjIrnyeQv439Zx +jsv78D9wkR2wclpTaBe8XrRyp3JcJOc+j1JkV6weqCm0M14vsx7et/yX1yM+ +T+PzGNDV100U1SlCb18HZvO3+Tg7sJW/8ZydsXpd9VyR3vN5JZuHV77hua1f +yfOR3XeNy/N8y+eqLufv6jkh7fcyF8fXOnlbn9slcoq+IG5m65XUn7D16aXc +ui3d9T4m6yFP6+OZdj3qj1s+UvlJeGldXsJbf0fU8nGfi2/35+IGwOwfsNcz +xLmAvRwT5wL2ckWcC5h9tnagxvEl+m+Dk1+tO7T5+RqhA89tfLBL+IDx0IXx +Po7rf/fQxwm8n27rV9tzcU8rJzVCV8b7uKjNu9UInRnv46a+ztLWHdcIHrzv +46z2flTZ4T0kcsL7xM0Y7+OUyb/I++W0aVlrXBwi73fYlvjVUol/ACd5aJb9 +tnkCjUcAp7ZP8INvWV+ad7V838ZJe935ut/xmdIN/WzrG+c7veV/92zIxU1X +uPdaC/ne7yPxovTeSonPpPG94vdz/kHPAkNHW//eJzD7Aoz+AEZfAFs6Py3y +ZM9f62Uf7Hm0150ve915sVfms+M1/pGe6701/Hbyvf5emtXb8925rF7sTepf +7M5l+jsiNg87IP63rVMo5eJAPi7D99GPyJGv2wfm+/Y+VL5u3+8b9gb+g18t +P2qeh3WxftZl8dHzJHyLPPm6/S3nUwccPQYF9v6r1V9jzs6Pufhzl6wLeWQd +9h6SxsGYBzzZf2D2H/2HvaPFz7D6RmE/DrhonM8HAVu92ePyBv6+kN73tOer +ftHPNo6o42wcMj/O50eAE1/NFX2W1vmYyBv91p/a4M4xG2TfbJ7Q36enXkfr +qG1dzpC7X0v8RO+BwcfA0JPzFHkW6jj8vS8rV4tFrtJ39R4K/GPlpMf5MQqz +n5bvR4Tv/T0V7Av4+ns69l7tapHzIrm29Zz5ez22jmzA1UPm5djq+bXyXfxp +9gXYjwMuGmfva3Q4OV5XuO9WzwyK/86+A/txVs/mxwHb+LzyTRFfwRd2/T3O +DvTKPqJXGW/j1Rovs3yd//159tHmaQYFZry1J23C/8CW31tFX6DHrJ7Z4PSK +1mfauqgBd37Q8VbP539n0spXv8uvLxc+B7Z1PMtlvcC+jtzXffs6bV93ndqJ +gu+3FdTtl+Q5MM99ntmut83x1Wq3/jbRpzy3+LSJXPPc4tcm/MNzi29bwe84 +Tjj+aZPn8A35Pvu8J1en7+vqfR083/NyY5+35fwz+MfX5dt6tgEXN+p39QcD +8n3rJ6529xnanN+ov2Nt+X3A+WW6j5wPeG5/R6lN9DXP7X3qNle3PSAw4209 +VZurHxtw9S8D8hw+J/6DfsBfT/OvEHsJXJPZy/TeCjn32N+x6Rb5xt9P7+s9 +T2DrH2ndla3/Gnb2dFj8QuwtMPY2vad1Wfh3lm+bha+BqZMFD/SS/V046qw3 +ir6z92gGxD+DT+y5W/kXuQGGP7jXgB+FnLEeYNaT9q9H1gOf2N8ZGXF+ms6P +fNhz5ITQGzuGnQGGrugF6Gjzo70CWz9W6YTfA9/a+lr9/UcrBxvFjvvf7bN1 +GWUZzznD1mfo7/tYP3Wju/feLXS0dcr+94bHRa6svNW5881GGW/9Ov09RGDo +zX4X8aVdp/Ip9Le/05LnO/v7EcqH1m7k5QY4gnJ+as3iRy3OX8jLhdWnnG/4 +nSn1D/g+9R58H5jv298v51y0Sb4H7OOLCU/9nfi0r3PlXJS+95ird13v8mV6 +TmIf0IPA8Jn/fUlb/6jnKOQQGD1q5x+V52nd+ns6tPTj59r4lfq/9r5Cm+Bl +7fJ62Xd7z2LA1W0OSHyIfUZeUjtL5AX6W7ukv/fOc2CeW/5cIH6YrTdqEfvG +uuzv7Pc7OeyXfbP2oDdn15Ab+3cjvJ0aF7/D2u0JsW/knaALdCqiC7D/HQf/ +OyzUN1m/W+NB1B/Zc6zC6Cm7ngm3LxPiHzAePWfH9zj/y+fbmwvtDLCPgxTZ +GWAbp9Pf1bf5+g1CD+QSP9La5TGRM/t7Lnm+BGbd4O/PfXa/Wp2/1Sr42XNF +r8hT+r7+zgb+WZrP/35mj/hbSS/05H5nA/8p+aOjgh/7zz6hT9gH9Ad8AP7p +O43ufmmT0wPL5H4pMO/DJ9DP103afdwo+5jm0fgN79v834jkF8GffcYfZ5/x +m2ycc8Txpdpbn09K3+fvCa1zftM6Z+f939fBj1HY1z/AP/YcrvrZ3ucacvzT +Jn4K73l9aeO4qh9t3ntc9B76zMbVF8s4YPu8xz2nvqZR+MrW2+rvK9h7cm05 +ugNDdxufGsjR3fqPnAPL7r5du8urrHX6WOPxtp7E/+6nyg/4Ig+27nmRqxNS +/geGHvCrjcOPuH3Qv6+FfEJ3m0f38VD9ezz295VGXX6/XegBvW2+vyz4Q1/W +4fWGXW9eD7BOq8d0XZY/5uTsKPqIfUxtcZ4c2OpXzXsDF+WlgYvyyMBW7y52 +dYQbcnl2nyf3eXCvl3zemvMgMPYZvO05Q+/9+b+nCh/x3NdJ+LoIfz7xfxfQ +1336e3nA+GO+bsLXGfi/p+jrRvku44GtvcQvutnx1R8z/J9w+WG9d4AdTc85 +L3S5/LHeC8DOJrqA37DEOay9nnDrmyXrtO0s57+pHqefeAD6nJb+NO62bL5r +pLX9c4U+lk7+7w+qn4FcYhet/VxdeC62cWr9+3s23r3R+fv5v1dXdG62cRXN +J9Dv+RC5BS/0Gfqcln6bt3za8csKaW3/ancO0rgtLf3IpdVjPWI/aK2eVT8b +fkzzaH7Z8umAs6saN6WlH7mz+Sq1X7T0w5/2/qz6HbT0J7wfyd67V1r6aRMe +j8nvnuD/0NJPy74R50jzql+Mn0Fr/YH1EregpZ92y3Gcbmnpp2XfiJsk/la/ +Aj+Gln5bv6Et/bQ+LsQ5l5Z+2i37y2PCh9h3+MDec2oXOgBDJ/yEot+Rs3Rp +d/Rql/XZvOKwwFvOi3e5fLjmtZEv8LH8rfcfi+wK/MH78AlwGq/xNFr62U++ +Z+M70FPjabT0Y6/S92qlpR/+T/xe5+IqT4r9Snh3Sks/9Of8YPVut9iz1D8k +Lf3sj73PNuz2jfgWvxfNuQh/O38PHDi9n7/3DVx0zxsY/ct+2fNDSfQEegM+ +tPJd9LuGxXzs4/+Mh4+RV5v3VngyOfD5AivX7UJ3WvrTstbl9gU40bUs+0RL +f6J/ObePwGl+rfvxdTY2DzTq6NPu7Br7UHJ0LTm9M+L0zKjANn6nv18JnPhj +qfAbLf22flJb+v8S1zcq/EZLP3Jo8w4at2RfkZvkNzwl/ikt/Wl8t/ijtPSn +76v/af1Q/XtXaV5t0X/4E/izNg/UJ3YYu2zjGeuFr9H/aX+bxf5Sd4r9S/K+ +xJ17e8QPsnlEPR/zXpqfevMl0tLPPMyb+JJ6EW3pt/Uf6rcnedOW/vSdZRLn +s34E9TNrRb7gZ/u7c1ofk+itcmd/12JM/KP0vduEP7AH4G35uNnd410jdp6W +fpu/WSct/fAb9gO6IRf2/m2fs3/a0m/zP2UXP9sk/GvPVSpn+JGce7bJ/iU6 +XOPOPfp32O3vM+nfcWcc79HPuJrM70AOaOlPzTyx077Oytft0dp7PWqnfV2U +r+OjtXFEtdPwJ3Eq7Cv6zcZ7l4mc4segF1J/q/OTVsu4RJ82sXMWT/29Vew3 ++tPGh0uiF/CDbB7Q110OuDzkgLODmgcgzoZ/gH6m38aR1c5jn2zerUf2x977 +LrtzEfswIvsB/dP7y2QfgKEPfg90Amb9+D3gAWz10LLC77AOGxcq/i7rQg/Z +uo/8OlgnfO/1SZIP/TsijPP9lu+1tfFglQ/fj721/Kj+MPaX/ULfsF/o7TRe +/Vf8IOQi0V1/141+zgEJHz0neDi9R33iRuev6+8z2/ilnhN8Xt7D6T30rfIj +dtH+br3yN/rd8rv+nQnsIfOhn4ETnivc3/nWvx+R8Opx+6Hrg5+ZB/4lj+br +6OFX8mg+TmO/2yd+caL/OvFz8WvpZxz9jEOukCfkBnlBLpAH+AI+gW/ohy/g +G/bZ/g6dxmvYZ/gAOkE3S/cVQjerF3pdnFzpCR2hq62T0biBrWtsFj/T1lfp +vfqEv7aJfmtE3g7K/Cb6GefriO3vD6nfhB9l73sM5uJwPg52UGbP0/fmij1P +7z3qzoUbxF6n720Qe2zvs3HvZEjsa5q/WewdfrGPm6Vx1zi/Zq6sk3WwLvt3 +z/T+FX4Pfgl4WbnuFLlj3cneL8zF39J7+EELZF5bV0Sdpuoz9FEa35/Jx7CT +90XyPWC+l/BYLN/Df4Gf8SfgV/t3X8ZkHO8xjvcYZ+9pPSnrAbb4PyHr4RwG +vpy7wC+9v9DtwxKZH5j5Oc8wPu1/g8BpXL3A6DnkDz2H/CX6jwuewNQV0Fp/ +4lHhF/gcfoGv4RfkFn0JbM/rGk8Axn+ycfDVIpfEbZCLhPe489PWyTxef1s/ +fF32XPW58bN/kK3rCPKd3CNod3kN8nF6vkNPAUf6NGVxkjdqXQDfS/ZS9ZaN +Bw+6/OJjst9WL9XJc/iR5+AJ3uAFnun9OS5++IjEWdE3wLZeBz+KfE6X6CNg +e99pWOICxLt8XR32Af6B/uCB/od/oC94gQd4se4ivMDD5qWK8bL3IxWPIrzg +D/ABhn/Yf/ABhj+s3nvE3VNaL36YreMjLz1L8E399woMfex9sQ7B18bzu9y+ +D4m/Db62blPzcU80vHjffo2PCL3vu+xtB7zt+oXC1+f9Zs+vzX1wWWY3lovf +ctqaphPrpq4QP2nVB6cvv3d2a5j+xd9fPXLV2gzfteHLZ3fcffjuao9/fP83 +llx9F3VGG8Oz+8+9rG+K+je0h72v56Hzr9S6rfqTDjn2hvr+sPcFx936vjnk +XQbDTy5Y/96Tn6febCi85ScHPnXZMZoPuyjzew5+3bY/2b88Fpb9n0/NKz90 +d/j8Y5+5+Ny+e8KsD7eXP3v4E2GvI7Zf9Zb7/igt/VOm7vHk/I81hlN+f+8j +b7+iIdQ8+vR/PXr7qvDOd/3jP9z7geZw0ePHnPCR0yvnpwt3/eTos+vCHUe1 +fOtHm7rCkd+9/esfmqEt/efW/+Ez5x9TCoed9+tP/WnXUlh6YKmjb1pfGP30 +nzt/PLMv7HHLjdu2TdkUhi+89JX3lcvh/mlrb3nx3OFw+fN1N518mLb0H3Xl +W9+1/5zRsPM/7nDg5VeOhgdnzrluzxcq+nfarkNNC8ez+Sey+SdC98wNi677 +0i/DDdddtPD6s34Wxke//cCavWrC98aPW7TDrNqw4b/Pfstfpi4O3/zl4vf8 +8oXFofbdQ5e++80rw0E/v+4rPz/1aWnp37ZrZvcX7moLj980bd0eR2tL/2Hn +vLlCp3Xh6bsG/vuMle3S0v/spulvv+ecznDa7AffPbGoM7yxpopHTzii8y0V +vHrC0m2++vjHn+8Ns9Z/dt6t9drSf+Y7q/QcCEf8tUpPbel/frCKdznUz+yp +0EFb+k+ac8iFO905FH6063EXP7RqKIxGuo+EPeM+jIZZtWsqdB4P3//FExW6 +a0v/p0/4px1P+NKCcOFXbnvuK0f+KTx4yhn/2v3vTWGwZeKfP7lwqbT0f/fZ +j1X4pSXs80+7VPilWVr6Pz3vjgq/VPzpbZsr/LImrLvl+flv2n1juOlT9Y82 +zu4OM+I6S2FaXLe29E857KeVdfeHwVWXVPDok5b+q+P6B7P1D4aGSMfhjK7D +4ezIn2NhauRPbem/K/JxSzg68rW29Ce+7A/TI59qS/+P9qw7+s9nPR5e/6af +nfaekfkZ/p3hqoh/V7beobBvXO9w2H3f6yt81B4eOP3UCl9pS3+Sp3I4NK5T +W/qpX54z3H/vWfu2Zue8/jA16pf+cN6Cwyv7tzTcHpZX5LpRWvqfi3xSCgsj +32hL/9N3VOk3Gm4/pko/benH3pWvnPefv6/ge/Sqzvffdu8fRc9/PbNvU1dc +f/gZFfxn/N9TrtlrRv7vVT0T9eRwuP11v97/2MP0d92xU/s23LbXkSv1700N +/rbu/LZp+vcAVl66dO1PK/hc8ZYvXLJ9hR/T+43iV69se+vJt1bwueKp7V96 +8Y5SFj/S3we/74afvu/kCj6nXHZJ20O76u9LMy/fYV6+w7x8h3n5DvP6v2vF +d6AbdIRu0BG6QUfoBh2hG3SEbtAR+3Xa3vudMWuT8gl8g/257tiXX7fTeco3 +8BHrWvXcOxf8aeKJcNWdr1zfWrEbnENY1/1x3u5wSvxO/vcc0rzD2Xc0Pzsz +4pG/R/+BiLf2M45+xiU8NS77s2zdmyNdtJ9x9DMOf2X2A7fcdnlFbqedduGX +fzyrVvYB/+Sczy04a3lFjne99j/fsMfiTuenDIVd+k68Yf+KXJ/z0lf7nlql +/uSz39t588RR+XvPd9wXZh2+u7b0nxr5In8veXbko0Fp6Yc+u8V1NYdz4zo1 +rwb+aV192To1r3bojR8+5JLbtX72rxl/zyjd89OXK35BkjOt8+zI+Puoh9dW +/JBSWBD9ltFcXnWf6MeMhl32u6ZiT5eE5ttGKvZU60mP/tcfHPe1Clz+rzf2 +bJyu9aV3RP3SE1ZG/aJ1mw9EvHvCtEgfretM/sJopn91HYnPRjO+0zpPvss6 ++C7r4Du+rpXvMq+va+U7+LXXX7LHI0u//ZDkXUceOviy7RcuCB+59WsPH9dC +fEHrNV/3va4V985en9GvOxyy5OJnJo7aGL52wPGV72k+Er+26zudFbrrPa1v +/fadqx/adSR8YvW83qdWab3i2pde+U7fFK2HGrntZ0cdf/JvcvV+9Kf1T4S3 +Rj9TW/rBCzw/1jNywREn/i5Xpzf15WU7/u5r90tLP3SALrfe/a6zlz+br9t7 +8dp3fPCM07WlHzpBt6eGHr92rxn5Or79n37s32Zt6pCWfugKnd8d/eaBbH6t +61sT6aYt/dCdfZj/3s8ccOxhWu9H/1fjvmlLP/vEvl3d9u3XHbLLInfOXix8 +Qhxl75Pbb3j5Y6vC527Y2Ltx+koXV10dHnrmL0MNH1gdTnr9dvscuVLvaaf1 +aT0ffARfEZdJ+9yXrU/r+Yh7/OHhC0+6deZA+IenvnlB2zSt37u5t7Zi56jj +Ur6DDx/L4iQvHfuL375vzng44aRbHj7/SuXHV37SP+PGa/4QDnry93c+8YZH +Q030rzeEv3ZW/esNmb87lPm7Q+H+TE/Py/Q2ehq9jZ5+hzlXdmX6sTPslOnp +r5tzpOrtlZmdw+5h57B75065+JT+j/xJ+mdnds/ey+wO0zI7uDKeG7WeCTvo +f+cIu5j0qfbPy/TU1ExPz8z0cuKLpaKn0NNHZ3rZ17ugp9HL9vcLnxS8WCfr +Zh2sq3zkl0caPqD2BbuDHaIfO5T8I7U32CF/Twu79M1MHz//xJkvr31B6zGm +xHVrPUY6V4/KON5jHO8xjveSnC0Lu33id9sfsovWSyR814Zrd19YOYesDYNP +v1A5l2i9RPIftF4i0WMw3Bbt1WBYEe2V1ktcHv2/sXDBdrd+68Ef/ftRR626 +9l9+9rYrQutz1QV9NVcPfehuuz7+jTN+JnHy8yKdJsJukS4TuXqB5kjXCXmP +eehn3JSZn9n5lL20XmDhYQe2fvmMeSI/9DPuqDdMPfKac7Q+YCDut8oT/YxL +fq7G+5fH76t80c+4+kd+WPergSbxp9mPKTuOvfVt12s/4+hnXOKTfN4+8ZX2 +M45+xvVHORnL5d0/GuVG+xlHP+Ms3ywTvmB+9p3xSQ4075zols8/D0Y66zje +Yxzv+XEJT803Jzrn89BJDhXmPcbxnh+X5Kg1PBf92LZwZYx/aX45tf2ZfzQQ +9o3yp/nhtM4V4c6vjP/qxFM1/5riXb3hgfccMfe4Fs2vzoh6UPN/yV8jb7oy +8880f0pcjnMO62KdrJv++uu+9Mtllf6zF0/9+fcr5yDibj6vDR7gRf/RMR7V +H3aJ8ah+iRMSNwQP8LJ4r5C4n88bgzd0oT/xl+Y7d477NpbJl+Y/E59r/hM9 +jX5FD6Pn0Hu0p0d7tUZa+tFzPt+Z7JW29C/e3NJw9V2a30zyw+9NaX7zsN3W +h4/vofnM+vie5i+THRvK5idfpPlI9CjzMC/nXPiBefkO51z2m+/4fCV6F75L +56RVwnfJ3vaFT19ejQ+1h5s/Xo0PtYdr4nmkHGbF80hZ+hlHP+Og0zFRvlcL +nZI8DgjeC+M+jIeO1qpdWhdu2qlqp9pDQ9XufKcc7q3aoX+uyPOt1fjj2nDg ++dX4Y3tYVo3nrB4Mw9V4zo5leY95eI958EPxS/Eb8SPx8/D78PubWk747jtv +uFNa+r8Z/ckJ8QNp6SduSxyXuC1x3DTPXBfHn+XOHfUS18cf5lxBXJ44PecE +zg3gR9yecwDnAuLuxOHx8/H7icMTlyeuTJyZOC9xX+KuxGG323TE84N/fjA8 +NuM/6mf2zJaWfuKuxGGPX7fPjesGFobOb333N996sF7iqMRVaz5zXkW/rQ8X +vnJoRb9pSz9xVuKu6zsGK/yyMbwxrqtH4qbEUdP6N4U94vq1pZ+4KnHWxriP +I9m+joQzj3/PhTvdORa+/81PXPxQRT81/PBru/2m4fHw0R/8qoJXrcRJiZty +Ltxt0af2e/Hqp8Km6Id1hRnRL9M4KnFVznEpL9OdxQ2GsjilxlmJu3LuSn7w +sNARukIH6AIe4MW6WCffZR3My3c+9IW3XXVpZfx9Z5547ic2PyEt/QujPeoO +X4z2SFv6PxrtzXDYKdobbelP/N0S7oxxpJYsbtySxZFbwpQYN+V3n/X3LJO+ +aZZ+xlEfcX+0sxV/PcaZ+7M4eX+m9/w9kb5MX2ndJOPS9x4Pzx39eP9O18yX +uoRkl8lzDmV2djhMj/vbHvaO+7s2XBfjfvn7BPSnuH8529/BzF7m7w/QzzmT +cyfnTM6dnDM5dz4T8zfNYVrM3zSHU2M+oi/LR/Rl9l3rx5P91nhN+m6+fpz3 +iIsRJ+M95iEORlyMeZiXuBdxsBSf1Pw/dISuZ0c/QekC3aDjiugnqH/x+Glv +nDNt7T3hG8/94Mrn6+6WPCF5Q/KE5A2Pv3hOhU6rw1/fcWWFbtrSTx6RvCJ5 +QvKG5AnJGya9MRA+F/WItvSTRySvSJ6QvOHdUT+NhyVRP42HZ/90/BeXHnxF +eP/QRS/0X319mHlu8yvbXnO9xMF+FOedCF+I35kIV0W+nsjywxPyHvPwHvPw +HvPwHvNw7uIcxrmKcxbnJs5RU7+8V0UvNYXKRyt6alkYiPtVCvvE/eoNC2K+ +Ziw8E/M1Y5LHJq/Ne8yD30lemnmYl32HD5iX76R9XJftq9bNJr5bJ63U0zIu +ey/tWzmzC1o3m/xXbelnHO8lPafxrV9Ee9YaNkR71qZ+febnp/OC1i3+R+SH +/iy/qn48fn2KJ2i9aIonaF3i+mjXV4QLo51fEa78z4+s+XrlPBimzyptV/H3 +94z2sTezj73hiiiXvWF2lNPKOXH+7hW5WRW+/vbZFTlaKS39fHdTjEevzPRR +X6aPtKWfdSX92ReaY/65JXww5p9bw6Lo/+p9wEVxH/vDC3Ff+7M4vtZvnvG7 +uRX9WBeW37Oxoh/nhxnnbjv9/cvr3P2OP4Y7yzf9fr/Gx8Nu0d50hfujvanY +5WhH9H4GbcpzdGX2ZDjLYw6HgWgn9H4FbbI/Q+HQmO/R+2OJb7X+9fqdGyv7 +sDRUnMbKviwNd0S9qvcLaOfE81hjts+lsGvc91KmZ/U+AG06J5TCXlE+xkIp +ysdouC3q3bHw35E/R6U9K/LtqKyTdbNO1s16WCfrBg/WyTjWwzpZN3iwTsax +HtbJusGDdTIOuRE5yuQKOUNOkBvkCLmCH+AT+AY+gk8YBz/AJ/ANfASfMA5+ +gE/gG/gIPmEcfI8cHB39HK1nFjnI5AI5QC6SH6PyQIucDDe9fFjpc0+Gs5Ye +POUPFXxp6U/nUerh9P5ciq89ldWFdGd1Il3S0r8wrkvv1dGm+E93po+HM32s +Lf3pvM3vYmo7PeI1LHoLPYa+Qe+hx9Br6DH0GvoGvYheQ8+lc81YZo81zp/4 +f1z8TvxQ/FT8VvxY/Fr8SvxM/FD8UvxU/E7OFZwzdon+Or/LUivnCM4VV0T/ +Xe87cW7gHJH8eb3PlM5Ra8NF8VyldWDUhT0Q8wFaN04cmbgyfhl+GvPIvNl7 +zHN4pP9gdu7SujDqxFI+QfNTxKGJS+Pn4fcxD/PyHvMkf2512BDPP23SSn+m +H9J5oS0MR39tIDREf01b+tEX6TwwUPGTqnriUTnXj0S5mZfJ0aNZnYfW002N +ctEZVkQ52ZDNw72YoaxOZSirWxkSPx2//bpI9+Zsv1ukpT+dQ/T3GWhT/LBZ +/Hz8/kTXvozO2tKf7LD+vsJjWZv4qC+Tp/EsHqAt/cjLoXE/xsMVUQ4bw8ei +XGpL/7QYf9T7w1dGOSyFB6Jcakt/ij/qPeJTIl6j4dqIp7b0p3jjaOYXjobn +oz/ZkPmTS8KuMR6uv19Dm+L2S7Lzdyk7Z/SEO6NdIh7fI23y+3qy/RzN6thG +M/nnd/O1PTLquVH5HutgXayTdTCO77EO1sU6WQfj+B7rYF2sk3UwjjzPV7O8 +D3wO36e6qxVZHdZyaenHPmG3To/83Bqej/ysLf3ICXKT1tWbyYO29GPPsHMz +4373Z3V22tKPnCF35KXIU1FXSZ1lyofqfSXqHqmDTHxNHXpZ6hKpU0z5zVVi +H1J8VvV/iufq75am55rHoE6MehpbJ1YOe8d9Hg/9cd/HwjXx+2Ph5Pj9MdFD +6CX0DnoIPYPeSXF2rV9IcXa9L5Dknt/xHRc5PTuezxpEDpN9LImcpfPXaFgU +zzHrwjnxXKMt/SnPrPcPkl9Yzs412tKf/EXqFMphVYw/LAs7x/hDk7T0Pxv9 +gqUZPk2Zvitl+k5b+hO+ev/svqh/xsJlUf9oS3+qX+P3svR3xthn9pV9rsns +LXVV1ElRNwUdoAt4gjd8CZ/Ch/Dl8aWr9nroUy3yHWDkjHaX9nu+dcwu+nfQ +gDlfA5NnAGa9wNTpAxNPBuZeGzByB8z6WAew/F2FDJb7exnMOg75ws/rXzi4 +X+vNsuesi+fAdr1lt96yW2/ZrVfpy3vMD8xz5uG5/F599px5eQ782BMfuObH +r3TLuNHtzjv1a0tLAn//3XMGfrqn0mGPE56fPvdMxXtWlar3bBL48F/OvP3l +0WGBG+avmvq2I3Qdn++esvC4H0wITHvTpXed9fEL1wu8teva2PT1K7+0vdLl +2+OP7nr9iUqHHd/0lzse/NWEwJPhwbgTf/f28sfq8njxnO96PP06PN5+XQ/+ +6sOfPKxlVbbfjdLST56U/vVf2XeP2z7Tl81bkpZ+y8eV8+/w3a8fvns8rIj/ +RqWlHz6hnzgU8iJyk/UTZ4I/ael/4PD+zq/suyDrrxX8O+P62lQ/7LD43tab +2sIXn9n77Gf23ph9vzPEVV+1WN5P8GrBn7oh1nXS6y6r/Ncj71944zmz/nTL +gOBP3RDrJP/F/OQ9mR+9wHxWD+jf9xo5+fG3zBjR31OEfoe1VDmjTeav7vq7 +56wReNqbL6lwxjqBj47/s17gK760fYUzOgU+p8L181d1C/zZ05fvd+BvegT+ +55VXX77tH0oC98Rl9gq8+tmGnd715z6BL6mK2XsGBL6gui2fGBR4++q2XFoW ++KWjznj/xTduEvhXmya+PO+JIYFvqJJ7zbDAB+9+5IsdO4wKvP+MKqXGBK6r +ivVnxwV+ZHaVYSYEvrO6vN07ZD/qq8u5q0vg5ypS2z2lJPCMilRud16fwPtG +eg8IPLuiJU54vizwUfF/hgV+uiK1v5w5KvC5kd7jAss+Vsm08mmBn4/raAnf +jPy2Rvia5/8zHzQ6vp6MLxodXSbjE6Xb/quPPWD1sQPCz0/0vvep3vcOCvzQ +Szc8/NINZYE/G+Vpk8AfP6A6wZDAPdXXnxoWuLU6/QGjAl8SBXJM4PMvqP4b +F3jH6vQnTQi8dXyt+/5KZJiyyveaKoMPC/yOP1cZdlTgmrdUGXBc4K2TE+Ur +1lml0sMv9Qr8nioZevvC+Uuril/9gq2TM+VT5ivaJ9aNXts6OVW+n2yfmR+6 +bp2cqxxNxid+n7ZOT6hcTsZnft+3Ts+onE/Gp56P0PtRHVyt8Beq4nmk6jHs +IPNh5xj/werjPUZCZLujmuS9IjsJjL0CTnQvyXcOOKLqqPQLP14a/ZABgbFn +wEuqnz9jTNaV/I06WQ8t/dhfvid2N+vH3jIfLf3pONAg827zh+rGvMovj4pg +nfqHEWHF7+Ezq45UWda/Q/SjFKZ+l+/a9S+Xc4r4U+Z80ujOJ43ufNLozieN +7nzS6Pz9RufvNzp/v9H5+2pvrF9S69Zd69Zd69ZdK+uGbvbvSqlekb8v4vwb +YHuO0N/f9PoUuni/ied8l+eWbrWyDp5bOtbKunhu6Vrr/Fj9+9DwgaV7rfPb +OgX2ft3NUW/puYQWu/9iPJjouYEWu5D8+D/Jdz9U0XqL71X5eEPUIwpbfap8 +j5/LOC+3P/hxVXL0HExcAL+XuADw7LguhQ+tqtvb9X6g9bf1nAF+n43nI8X3 +2Ko1++lAODPqQfWPqQ9OeIyGBf/2vSX/9j2FN1fV4tkKR7P3VK/T+8pXe1bd +pr1U736+YvXOmTWRk3d/jrB6tj2nx9Az0AN9VfVCZh+u+uSeqlt11mhOv6F3 +LN3bt5ru9jzVKPsg9j/bB+i0tXSNbsJd6rfemRhSz2cG73bBg/V8LtJ3xNG3 +UfJgYh+zPBffJy7PPSI7/yaZn/uCdl80XmLPv7U5O+j1nLdzXg94OWe9Xh9E +d+lhPVd+JwpgSd4r4gvmO+r+az96/7V6jkj7rOf46O5f/3SYGQMNGh+Lbtt0 +pVd0Q0/V8/gxdT9cN+3N+hz6/yLGT3qdv9Ibnj24ShCl9+VVN3qhwqdU3aCp +Cq+MgQ2FwWefKjs9o/w1WA0fvH48RDftdl3/qvi+7ueUiKee16Mbv7DT4af7 +ncYrfHTEV8/vC6LbPJSTF2/frb4u5ewffAI+8Al1itZudQsfUKfo9XV03w9Q +/XxGJjesgzygxKGyPB9xeuapyeLezEP9m/fH8KOof+N9Wvqpf/P6in7yBlYf +6Pnbxlsanb5olPXb8Xr+tvGiRhePaXT6plHw99/3/qA9bzdKPgE4Hh9nK7xb +9bixeK3DQ/FM9kHhw6rHh9M3uO92qP7J/IIiOu0TDwgKT6sebzdpvNnjleS1 +u5DOd0S9rXCKD/QKfX28S85FGX2tnvbn4fw+HhrjFwqvjILeL/N7f9uef/N8 +sPCFqiJSOMUrBp1907hd1Yt4sUPheZE+g4V8dWpUqHr+fTYqGvVrPZ3SOUPP +v5/6RJVjNH7PeGD8vCI+HvhYVVEpfF1UbCOF+5Li3Qp3xHOfxrE9nX9cNQtz +i+VmeowHKbxPjC+MFfLBO35TPeAr/I3oz44VymHlEFkxVArPiYZqopCvamL8 +XuF0ztPzcZJP1WtJPvVcGMMPH9A47dFRodaL38E66qM9UBi7Cow+PK3qHi3R +uK79ex29bt15Owos+t35ufbvbYzn/IDJ7CjwgXFfVote+HXVW9uo53e7L7Xh +/BhXUnjH6PApneMp5VnVe9fFBet5N8UdewQejHys590UZ1S53iXygcrh7VEv +qV84NeoNPe8uiHKvfHVQjNN0Cn6JDxX+j+qx4oc9Akcv4Z6enL5P/KBxe/CU +fFdBXMHTgedF60IvwTeXRj9Q4RQ3GnR8pXG2HWIcSeEXo1+p8VXkHPjXv63+ +U7/ixzHuqM+RY/F343FJz8X7RUdkLOdPANfFA5bCj0RH18djlS/mRXl4Vbwg +tq+KF8T41KviBVFvj+XsC3zFd9qyc106N6reTfyucFtkgBF3vs7bG/jU7wvr +SHKV52O/L2JvMrz5TlHcycuB3zdPN3tezuPt5cjvq6f7luVe5c7vs98n9NeZ +2TkaPZT8VYVPj/pT4ZkfrSq2ifDOKDeqr4gDFMUJWK+Pi6TzUZ2sd7eYn1S/ +Ox5nn+mS9RbFUVjfOTHequs97IPVfxNyPme9n452X/06zuuW/xQu8hMn8/sm +8+Mm87sm86Mm84Mm81Mm8yMm8wOsH6l6Fb+2qO5irBqe/p368+w3caAiP20y +P2oyP2cyPwXY631f54Ff5usygPeL8fhRd97M2wWv99Hr3s57PQ7/ExdjH6KZ +OEjtpc0b4A9rHYGPa6f8RbPAMZ21u56nU15C30/5o75cHJj123Nso/weAPC/ +xziIxkcGYxxEn6c4gcYlIxu/eZnDR+OUv4jnM/Xb/hr5SOF0vii59Wt8jd8j +AL426juFp0Z9Mubi97Wyvq3NM/i4uI+D+7i3j3P7uBXzb23eQuxdQR7D5wl4 +7vMERXkOn0fguc8jAKd90Xx6bdQfvq6sT2B7bmxx57wWd+5qceegFndu0fj+ +ZOvwcQivx/w6f7Cu6lH1hci2lww6/TGY8+99vZLHc8+q+/Fhfa9o3iK63BP9 +7E2FdPpQ1R1pKqZbY7X86U1jhXEA9F4RnT9fHfaFiUK8H4n+1oTLR1AfonDy ++xuc/NX+ze/ZuqBG+V1uy6+qD3eN7SoXl+8Mv4l6XOGU11d4snHIA7+bIPrW +8BPj+iQPgB1orLobExqX/r8RzXy+omgccTQvD5xL4UOf7+Kcas/n+bqZWOax +aZXA1k5pXQ3wadGf0fhk8qM7nBx2OD7Tc4av20h5fY23YgeBqesATnUTCid8 +Nd/n40Tyu3EFdQJHRL9VYfxsyWdldQTi58Y6gQkXD9a6oZnRMGqdUX30D9c4 +OdC6oQeiv9YucDqXaf2ZjWPWZv6n2vF0bup282se+L9iHYrW8fw6BnL0uY0z +1oafREHUOpxDYl1Iv1uP1r0cEOtEFE51HppHtnHB2vBwrPtQ+MTEgALbOF5t +ODYGpjSPuDGKmz63cbfa0BYPBOqnfTs6SmMF/F3sVwGnuJfGNZ6L5w19zrw+ +bl+U54viUKN27Iio17XO+UNRTSu8NOp1tTONsa5V4TOj3lY7ckasa1V4NNrB +IYFHYt2uwt+PdlDzIlfHOl61E3tEu6Z2ItXpKmz9yddeDix/tofIzudofXo6 +7+nzK6vscZXWq6e4kj63/Nseno5xTx2f6vT0+a4xDqr17uk8qc8tf7eHs6Md +0/HpvKnP74j8pfXy90f+2ySw5f/28EzkNx0/GPlRnx8a8dc6g49G+uhzKx/t +4dqkuAS+ItJLny+M+Gu9/opIH31u453tYe9IDx2f4sb6PIn3hMDJzuvz/996 +brI4JuvwefeopvbV58lf0efluA/KhykOkT/HFZ3L5JwX4zVaz5zO1wr/rXp6 +Mr3Cel8rucIOMx/3MW3dzbjzi8dz8aettSuT6cXXWs7Bz69va+3aZHr6tdYj +1o8qO3klX6/3W86thpce1OdzopmaEDj51Qr/rXZ6Mjv0Wus98Pfr21o/YTK7 ++FrrVdbrz2tFcXb2wdcFpboPvcf0dKz70Of7xDyc7nuq+8jHlYvitMBFcWdg +6OnPl0V+xGttV6CnP78W6SHo8VrJCecCnxekjoX1UcfCeOpYopo7XeurqFOB +bqkOXc9P1K2A10hVTK7x9VXq3/pzq81Hab0U/SnvonGWUrxnpecrf0+PuIqc +U929PeIkwP7eno+D2LhXPg7i790RBwH29+6Ic1j/tfgeJHSG7jz39Ww+TmLt +2996b9LfS/T3KMu5Ojr2nfH+3qKvay4610AXe04p9lPsOXvQ2UvNzxMXkfxu +dl7gfexrTBNeoHRP9yI0fp3mU7x/FMUlX2+KHEU3YobKk6/jBn9ftxDTLg+u +dHkJjVcfH/Mefbl7khtivkPzLdxbtHE4hY+JH2zNyTvrQL6tP9ju6jj1d9vR +K4xDrzDO6kelM3S39wPGXZxqTPiC9fF3LHx8in75u2Amrqlxbtbt/UF+Fx08 +Er+sEzz4fV+ft/B5B583sPLb6eSz282vdY3QkXv59vyi9/XtOttlncxDHaB9 +rvtKHSDjkRtg1mnj0HrOYZ3Qk/eB0/dXCL18HWxz9Bv0eRqvfO/rWpNeUJjf +84Xep0Z/YczZF7Vb9vxQdvpjyPmz6q/Zup5OgRNf632ctF6FU95A4TRe9dgN +MU7f7/RSh+Nf5Vf8J+gFbPN4nW6/htz7bY7vlS4pP673kG0ea+vvnQAX3QMB +LrrnAezvbST9+ip9FfHM66u/r666/L+um34g+mlq13eOrcLJz9N66OTnqf68 +Lq5b5XGn2CrcH/FQ/XpOfF9hq8dqc3VSyU4p/aiLsXZG6WnzdPnfEfB1tovi +uUP1ta+7jWnslfr8lpinVfm4KObd8vq9aJyvE033DF+V18zqRuV5lE+Fn4h+ +eX8un0F/ykvrfbjEN0pf2qJxi+O9DL1nku5l5O/PFY1L9wzy9+noh2+mRX5U +O5D0qtqvfeN5rPy/zrMD/2/z6sBFeXRgX8ft64LB7++9d/D3yqnVg+W/+x7D +3yv36NGEV7ujU95/KBr3fNR7ykdXRLqt20o+aw93RDrkfx+C/nTtWfvhSzu+ +UeyQj4tGLriqOE6a9JE+93HTFGfT8cRRgVOczvOZ7kOim8IrXdwj2YXiOMit +kQ4KX57FRazdUTjtx1KhSyz3mqowbdG4dG/8Vb8TEuPDr8ozI7cF49K9Ze9P +jUq/9WtanZ3QPPK2sa6qLZMbrcO2+X/Vv/wd6aJ7zKkek9+b1zrs5J/3uHNG +j/PzdDz3Jq1+HXHnEq1D3CurQwTeFOu39Tl//8feCxt258XJ5EzlZGv9Sl+H +mfTy6ix+pvS+JurfPP29H5rqWwdCFI8zRlycSenp78mlur38vTnglI/vcX60 +1iGkOjaFU12nwm3ZPSvefzJ+UOHRGJfQ9ab860KxyynfqrDEheJ5uzX8U7RH +efr4e/UpLjUg9/htXcWwy+8vcv6rwvw9KWDqYIHTfQZ97utiPxLvFyic6jj0 ++/4eRYq7KP7pfL1EYH8vI/lz+tzf00j+nD7nngZw8jcVX/ibv+NOa/W//n5x +uneT98/oT35+3t7QH9PALzye89fot/qmX34X18qr/n4yvwOMHqSfcfQzjnmY +l+/w3ZSmb8zpc/pbPn3kAavf/6p7yuiD+x77/VOzW0J5054fmJheyvlHV7z5 +u4fv8Y328NXPTfxjc7PO23v5v9y4+hdKD9ax+5oTDn/ijP7w9Rnbvmve/nn8 +/+XoMHveUXp/6k2v/KT7hitKYeNTXx466y+voke2LtbJvL7+defOP+/wrxW8 +WCfr5juennyHdbFO8LB4NQre/w+THD8Q + "], {{{ + EdgeForm[], + GrayLevel[0.], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFWGtwVVcV3jdwch+55557IdC8eGN9FApUCyQQC3RGgpUhNyEkFbAEKCgi +YB2KfxworTMQyqP+8EcTZnTsVBCZUUeltdBKKWnHmepYwOJIW7APHkJAq/XB +H78v35fpDIu97jprr732eu9MWL25bVNFCOFcKoRhWG+mQ7gX+FXg9wD/LKAI +fAPWFYD5gGlpfSO9NRvCDOPllL5R3pUg3jFY12Ulpy0l4F7yrsR6BsxvAP7o +dQr4e8Bfh2/14Jnu8yif38+ahzR+u0zdKyRnbJAu080/PhH/BKxdUQi/AzwC ++lKsrwHWAl+L9XXADuD/xToMRhgBvDLSb+Kbsb4B2Af821jPAfqA78V6AfAc +8M9jfRWwDPgTWM8DfgL8h7F0oC4/B14B+bOBtxUlf1FR+s7wfe8KsgXvuBh2 +OJmRLWhL0mnP7YBu68w7dABfY9pq0/cCNlrnVxLd4dM4/5lE90+At0XCKeOb +lkP7/Nj2aoj1m3L5nTbrjD4+c5n53wPfLOh+Ph/CJtC+YR1o103GSdtsfTaa +h3hHKYT1uGc71qNYfwroBdwHeAp3r8W9DzoeiJM2gLUG0B7pDrT5RynFAWOg +CbR+QEuQPdZahx0+m/ZbY1tR/18n4pmEeywF5CDnSyXFyxrz0IfPRfIL791l ++gHoth/whcoQFgJaAFXgfRt+vgBo4B1j0V6Fr/cX4Ofh8CdoD2GtG674eTMI +7w/6vtr4d4ZLFuX8uaA4/wH2dkHnEdBhADbPYM0CRjJug37jX8gBavgtKE4f +8lk8p97yS5HkjArS9y1APfDnYd+0ZTb5XJ7fEsvWRdxlUiKbzwW9NtJZNeA/ +gb13AL8D+NxEOTUH61jAbewdk0i/4fgPaoQoEs6zeGZknGulc/B7ReFX8uKN +TD9nvanzyEj3GQ38eFq/iRdN5x3LjhnGMPO13fHD+rYgrfhJQIvNzzVvnAUy +BSgF3SnlWsG1wvTmgmxC2zA2GBMNKd2T+1ljmf/kb0y0N1gOzyoAqhkzifDr +eZ0fmw4VB3/Tz7TxKNuZ62jfd3ki/Bb2VpuHdMYBf2fMX+29pzKKW+rKOMr4 +rBfSsgXvnrEdef5v8F+Veaoce8S55uy7tkT4tbxsX7QOna4btP80rM8DmoJq +wdZIdas+Ft+zkDEHawdoCwGPAT+MtRdwN3i24ffvE8UW/fEL0DKARuY4aHMj +7W+x7F7XxUIsv/8oUU8b6j+Mi7LjYSpz3fleBf5m4DvB/6lYNe1Uorq43bWT +d+rwvWZF0reRPQX3/yR+fxX8f8/LZysSncOazbt9CHo98xP0fwOfBPxh4Ffz +yodW4H/Ly9btwG/k5ZdlwOe5jnwX+TE70tm058284v/BRDVvr/tGBP67WYtB +nxirvv0K+AV8u+Q6lLefR7mWMNbo33cBFwF/AeyM5I8+xwXjY7RlvAc47Xhn +3DO2p7lXczYYqnfHzMs9PP86eN7Besbfz5un7Nmk5JrB2jHSe8jX7zrwp6A6 +eS1o/kiCesl099ZWwJKU9OiOVc8XFlUP37Re7/uOBd/zomV/YD1Pm/auef4F +O49jL0lEf996HMOZM1PS5ZL38z7sdZyH6ipUb9jXqeseyOiJNDO0ev5K8Y5p +yeBd7vEsRHuEoToEOJJVP+Sew84TyuGc8rh99IdEs8s03PvRSDjp7ySaV+6N +xbvT9MeMU87Qb+bPZNaioHo7nrURa11Q7DMPBucQ6LMHsApwO6/+1VpQDj5q ++duMM+85W20zzjOf8Lm0CWcs+oW22WP8SePk4Zz1pPFe53mf46bH/BftE/rx +WiKZc3CJL8fyw7hE+3tcX/4KnbfCxl0l5VZvpBhhzb7Pdh9ZFH4iVi9kT3y6 +oPuXXQcu2eeMLcqod7/nfH3G/m2Kpf/VRPFGHWnf40ioG/DpW0H97Zxju9p1 +lPnW6NmQ80qNazlr/OW04uas84X5xzzMuDYzf/Ku2ZXOX+Z62vIpg7Lon632 +S0Ok3p6z32uxVpnOlb9ZQzm/ckblvEObsPddMY0xTD0H5xLftd735TzIOrUj +aJ7al1X+fGuYZi/WaMYeY40xN8azxAOx5jjW4kfsw2POA9Zv1mDq9DnH99vY +1wTYDrkfgrakoJnnf3nVztnuF3zXlLOaa29xnskoD2nXW85Jzuyt5ul2vBPf +lRWdbxC+ezqN78balVVsXcB57VhvxLoH45BvI/p0sedd8nIv+VgrNrheUJdj +1mG+32W0PecF9mb6lf2fMxBjZaV5ONvs9qzOmX1BSXecX9IMyH7POGDf5vzH +WFnhc7mXM+BK46SvdO/kPD46o/pTg3WR52G+XeZlNbeXbZOtrokzHReHwfOB +35yLS7LjAyW9B1grO0vyE/3VnCjfmHctMOghfO+z/Jczml947qKSbPdFrAOx +YmgO/Lwk0QzJWZJ6knemay3PZz4e8ruD9ZQ2Jh95TheVZ3wf8I1MvbmHfjrp +d8o8v1uG9DllnTgLzHJc0U43XauZH/enlSNbstpDndgHX8qoF/IM2of1gut1 +46wLN5zj7CfrHSflkmzMGsaY4jfGFetxj2OUMbnO/PTVFvuLsbbLsUp++oJ3 +XlaSLNbLVvPwjIV+61D/3oJwvnX4fbd5+vyeq7eteixzlfUhvcf9gnTamrnP +2OiyHOrF+CedZ1HX/dmPefebftDxQJmkHTCd/Z86sO9T5wO+7yr/7WKW9Txo +330GBe3hnOx9J/z227TqDnlXWf4Rv1UZJxPB81JaNZCxyXxmjxgL+otp1bq6 +yO+ioD0DjgH68LL9eNb1hXWSNelkWvWx12dRf65HfW6r9aCcNUXN8Ktx8HTo +/7WczvhZUTWlv6gZkf3sdfhqBng25lTLjtpulNln+UNnHvG5jFPGK3O/zm9y +2oG5csh2495DlnO/31O0/4POR+blcpz5y6xy6+vAN+SUDzyDsxnnwwmRegxt +Thtwfh7sE9B5al45RtonTOc62Tj9MM796SuJ7P6PvN6nde6Rr9lWtBn71xj3 +tqF+lnOPGe/eRh/Wm4dn3WndSKs1fR023VUlX3Yn8v0/IWR9Iv7/5FXDKvxu +5Iw/wXJK2Lcc31sc77sc8/w+0XfZ5xxgXiywfemLtYl4PsorTidZ5lnwV+dV +g8b7LMrpdP4z97lypmxzHLV6NuZMWbYv2Jsne86bbJtT/m3/LY9xzrVsnLYc +a5t0lxR7jMGJierwgOduvkGmuKeQzj7C9xr/jsb3F79PNQ/rJt9xrKOk8d3I +N06H6eTn33uaXWN3JPobUDbWN85j5B1nX9MOfHc2Ws4KXG5ElWrh01hfzqn+ +NnqGIM/jiXTLx+rZtN9S3O8g+F/JqQccx3oC8EJGes21bi+C9v0qzXRbEulf +CRn9oJ/Oqe43uUcMnulzObc0eibh92bLbLGdG3yXJX7bDD4LhinOGGNTbMMm +z121jv/57vttJcu2zP8D0V1Asw== + "]], + PolygonBox[CompressedData[" +1:eJwllllslVUUhY/F297pv+deUFCqmJY4B9DEqaVQ9MUiMnSgLYJii4IitI0G +qzFYRR8wTuEBFCqJs/FRgwMySQuFmKCJQMJDC28yyOSEIg/6rayHlez173P2 +OWefvdf5qzq7m7rKQghrweXgn3wIN6RCuB4sjSG0lEJoviyEZZkQ5mMfwX83 +vBF+H7wdrIK3wxdgn8KfZW4GNDL/NLyAnYAW+MokhCHsWvAS/Cz+0dgl0AY/ +Dx+LfSV4CH4CXo6dAnPgv8PHY18NHobPYs2OjPf0GrE35ogFGvh2jPP08u0A +Yx8DXzN+KvxN7NfBCfh/oB97MYefga+X+EPZEAbSIfQQo4tv+/BPB68wNsJb +sJvAh/Ae+A/Y7eAzeF0hhMMk9AL7acC3nr3sJN524o2wn3r4Qvg3FSGM49sK +xmxl7hTQw/xu+P6U1/gY/i/7GRkVwjCYQ+x84r3UgZfxTyHeUuIdJ94ZsAZ/ +J2epBG8zvjxx7Emgi/Gd5KuhPIS7mNOHPTFxbjrBFvzXgfHs/xL7n6D4+J/D +9yw4AL8Z3o29EgzAM4nv8h7wIvyKvGNrjUHO11Zy7ShmK/Z09vsU/nPsdSz+ +axLnrhV8wvwHGZMt853Oxn6LsYuIORN+FePXwZfDZ8Nr4AuYM4a524n3bjGE +HVnnXLnehn8g65pQLeyCz0p8tnryOYbxB4mzKWffaWJsKvjucuyhv+C1NuPf +nfaayqFyOVk1Sax58ArsrcxdT7xmeA7+HXwDvFU1A98Gf6foHCqXvYrB/FuJ +PUjc4Qrf4WTWS/hWz7cZGedUua0B6cQ5V+67wE2Jc6bctYFK+Ah8jWoV3AH/ +EozirBdVs0XXvGr/DfVg4hpWLTeDAnw5+VrL+p+nfUeT2M8q+Lq09zSPnBwl +3mrq6zj2R9Fz1SPqla/gS1LuCfXGYngl9k7llvWfgN8I3w3fDO+OzuW3oIPx +j8MnYn+P/z38fdFnV4+oVz6NPqt6RL3ydMk1oVrowK7BX8b++kAt9mB0rqQB +0oJF8HHYO4i/kfjv8+1gmXt2WsE9pd6aBnL4quCH8D1DvGr1j3oE3y7m9zP/ +aHSuD4MXGH8yOrdHwGppT8HaMgzvg/8Yffc/g+d13qxrULX3S4Vzf0vOtu5g +Q849rt6WhkjzpH3K6R95a6a0Uz1wDt5QdG0rB18Qf0/WNaVaUg3fybdXU64R +1Yr2oL2op/fAZxZdK9LcudFn0tmkAT/B702sLdJMaafOpLNJU09Fa7a0Wzn+ +Le87191P0P1G37nuXpo2t2BNl7arh04y/s+8x14LHlUtR9+F3gy9HaoJ1Ybe +qGXRb4zeGvXcr3nfie6mWpqPb3TOmi4tl4boDdJbpJ48w/cLeY+tAkui70x3 +pxwdi/4mn2ryb8ZOLbgWVDO12Cuy1nRp+XnWfTJrjZO2nYXvK1pLpIf7sYeK +rlVp3N6ie//2nOdKA7ZkrHnSOr0R6r3bco6lHry/6F5RTX6QOEfKlWryL/a3 +l7mHMtZevWHSRGmj3tSFymV0b0gT6tT7Jb/lesMbS9YsaZfe7PnRmiXt0hvd +Hv1PoH8D9fBF1nug5Ldf/wjDeWugtFD/AE3RPaZe05v9SPQbprdMGnIp7zdH +b480o5rz/A/U3RLF + "]]}]}, { + EdgeForm[], + GrayLevel[0.1357999189207551], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmXtwVdUVxk8uIQnhnnPulXbGRwUBRbQVKAQU1NY6dRSCWAJJpOIDJPji +qY5WHUWtM8BUCT4KBdQW2ooCrYUKakf/ofK0GnxQOy3gH3amgBAeKigg9Pvx +Lcc/Tva6++yz99prr/Wtb+10Hz+1YUohSZIr9aeD2huzJLlC8k61X6VJsqgi +Sf4i+dzEci+1X6p/oeQ/q/9zyfMkvyC5R2K5e+JxjDlH7fV5ksyVfLCYJIc1 +foHkFRp/SPJvJC+T3FPj5kg+O/HTGt8O1Lu9kusy/14QY77Qt/MlvxjfIveI +b5mTvq5q369Mkj2S75AO53VMktvU3qTnSb37XPp8ru/v1X7PUntAz0TJ31W7 +X89YyZnag3qmST4dnfU8LLm32nWdkuRo5yTZXq3ftUlyRHJapfUlfyV5WI36 +tfbTWuu8xPrPDRveLB2eknyo6N/og4156Oe7YZr3GcnnSx6RWT6i8RNzz/ml +5E06tLf0tGtMn4L3e4Hkv2qv70n+VPJs2WqJ3tWXk+RWyQMlN2u+Nr0/s8Jj +blP/IPVfq/4lWnexnql6blF/nfqbMs+NTZn/MvXvkXxCuowqJUkX7ft5te9p +3BCNHyz5Hel3QGPvl3xcc71b8HoT9btZ4z9Qu13jD6t/hebro33crTUO6puN +ku+SvEHt7Xp3ocaM0diyvvtV+NgHev9hnO9bOouNsvmyGuv5QfTX6iw2qH+c +5ukm+VPJffTuogrP3R5rITP+qObZozFDNc+XWm+W1u2ndrT2+YS+2aM9Nef2 +1XbJPXLr0F3tFx29LueALz4Rfjgit847Nf7nuX17f9F7eDz8dmRuebf6B0iX +lkrb8YjWflLtILXHqhwLGzR+WpxPN8mNVf6NzP7ZK+d9muTFaveq/xnZcI3k +D0s+d77lLDhrvh0suUnzTK/+dr7p0c+a6MC6rdJjruRHNd8cvW/V87zed9G8 +y7T/evWv0++7NPYRPXV6P6va+z9VY/ap73btdan6Vuo5hF/GPPg7MYPu6P11 +lfeMnw0p2SZbtP4JvbtTe2wr+Df9W9VurXAsP6c1ZkZcE99bCo4H/PwprbFD +zxQ9naXrcn3zSG4dZ+vpqbEDQ0Z3/G5O7BH9kInledLnHL0blduuU8JWv1b/ +2fr9M/Uv0l5WVXuvyyXfVeM9n672tWr73ttF2wTbPKBns/Z7n9qNardoX/do +zqvlt0M17kV9s17+OazoPUyQDVaHrbZWGguYE1/eHPKlmeXfaa/DNc/oovVq +kjyqaP1Ypy2w4hSt+wuteVZiXTbpeVvf79R+PlH/xZrnldxn3FNyi/RpCj3w +KebBD8GeLTFnxjf4Wm4dl3Y0Zr2mfQ7Q/NernRyYgw35Dl9i712k/3owP7WN +sQFjd6u/QWt2yuyrSyIekhrbG5z6r57X1bU8sT03VFm/xTGetZgbP8Vfp4YO +xMWq8E/mupd9aq2/E+vkBrBc8hlaa221sQSs2hw4gs88F5i/t2gcAD/ID+fV +OkcMr7bfX6SxMwu2LbpeozELNKZecx8r2WcmCbczzfvbwN59ReMPOASWL4rc +Ac51rnX8g3Nda411Tfr+Np1Tc9l4tjfWIo73BJ6k2tebkovkmZLjJCs712FH +bPgS5692qJ4DReMYeEbeeDZyFrliYeS4TdJhhJ6rtIcZ0uWhWueBbfp2DH6s ++c/V++trbcf+kidLPiB5ZNm+1aC2TfO1Bp6c0Fks0+9atV1z+1k3tR2k9wr1 +FzL71wWV9rEa/V6t/mq1azXuXc5F307qbKwH54mDxlqf+fbYKxhyUHMc0DO6 +wvl8fq3xqTVwADw4lhob1sCRMn/fS+1nlf6eb/EL4pN4LJV9ppztEOmzX/2D +1dZpzD8r7VulkHO1jRXWgXjcV+nxzEluWBbn8YL0GiP9HtO8gwv2k4uD04Fv +zYk5Hfbh7AZVWzewbrvW3qb+ganjCR9ogeN19HrEIL6OXv+Qndor3Y8O12n8 +G4H1Py3YP5j/OxGzxG6Dvpnd2fhH/LUHPlxV8LmgW9/MPtaHHIc/6JlV4723 +x1r1much9S9U/8va7/2S50keWTC2oPNpmX3l1MwxCQaQ0+F0bRHnx4vmh3DP +E0XzSTjpzuC9FZk5Ilxxcm7MmRxY8XXRPBPuiW5NFd4L+Ii8L/ATjtKs38eK +5sNw5F2Z91yZGSMuCt2OFs3r4HecH7kBv+3d0Wtw7tigMdYixp6NeG/RvP01 +5+jM+YQ58bEfZdbpx6yZGnMvyYzl5HZ0hbOCQ8TJkMwc6GK1/87MwXaoXZT5 +/cLM+ZY8Ss6Fp13Qwbl7vObvq3Yk3FnyAMmNmXnQ+8GF8Gd8GV53tmz6kfrr +5f8TNP6H5FCNv1lyP8kNmfVrDHt+rPEz1P9g6jigH3/g7E/E2TDH/OBajN0W +MYwunC+8Gy5AbBLXD8p3VsmHFtQ4r46odV7BlvgGNQR5qX+V94YvcB7kxakF +Ywh4tKtoXgO/A+ufCwzsFlyka9QQ6yNG4FdwBXyJfLIufHJr6MWcDxad48nv +nxbNCeGGSdRc1F7/41zgGJlzJ7r+TW2H1DocVVtI7SdH1FZEHUc9Vxl4BW5N +D+6HTxyJ8asyf888r0h+h5wnua/6dnd2zYPvzBCOdZF+49XeU/AY9kCdtDXs +M1Z2Xd3JvsnZzguuSx0AxsNL7yg715BzymFzYgdOcXsnc73JqfHlUenyx9yY +873UdUOf8MM3w8bgwBdF11M3BWfBF8h3vcL38EH8t0/4ZB7+/I0MFpNvL5du +DdLhX0WvwZiTtVXmnEfNNCU1zv5ec96Xhn/k9s3jwSUuyZ0PLlU7LTVurpb8 +QGrb7eB8M+M5+e1qrTte6w4vuxZAH/C3kfpN/aPVflZ0LUltvTrwDywl9/Pt +kuDIjCdu4cgDYh72hkyOIK6ImV2aZ2pqPH2BmEvNS97JjMvg8yXqG1P2uVxb +do6qi9iGX8CxWWtYyTG/JjXnA5/z1HkJPMCGxBVn3T1xXmoOXgHegEtgIPwW ++8MtyVelKueshpLlVanjD77NPPB48l1R/dfkHjtUYxtyj4Gb3yC5N7gg+TrJ +5xLzJfMpZGK/MTe3h+PDcRgPhowjzuE3JdseuVfUcOdEzUdupX4Aq5ZHPmRv ++OP5BeP2S5kxa0LcYfSLb1/OzJ+ouZdm7r857lf6xh6vUf8P4Jcl3wEggz3E +d13oszIzL6TWv0U6fx9+Bt7m1mFRyXcM9INXyzNjX0vcx6AbWPqnzBgKrhM3 +nDfnCg4NKHx7H9M/7AbP7RXfgiUDY79gyaBYCxwFT8F2cjJ4AVY8nDvGJ0dd +eWHsa1puTjNJ/a9m5st3pI7FPOIR3sEY/Plw0XvjfuWrom3Efck4+evVwq87 +y+Zwy6LOJJ/0Dn3AFfyfWFpXMm9dXzLuM4Zc3DH8eEpuronvpql1yUKfG+IO +5L24r4AT8O2k3HN9UrTvl8P/P4y80hqxAE/AZ4ibK0P+ZW4ZvKEuLcecr0Ts +oPNbuecBh4jvIWGT6uDApah3sTN+ub1orN1W8p6ywAT07RJ14PjgLbsCn66I +b+Es5CDupjaWzKM3lHznUB/3DnA18jQ5+g+5bQvGgAv40ebU65wSmL8s4gUd +0LchzoKabkHUdXdH3Uf9l5adT7nbAGtvqHFuYf2ZoQNYMis4FfUc3Ju8sTqz +j3G3xPvHYsy64LXkkprUvvVQ7vUXhQ5whYWxr6W5x4Pr41Lj29SoM8jx5Hfm +hdfBzdbk7qemxO7s+1W1r5cc4/Cp90u+N+P+jNxJnQm3WxE5L9e+7wtusT/q +trGh86q4a2Cv6I3+nVJzkImhD7FEvMzIbadhYasZcf/JPSj5mbMkR1+bO67n +l4wBH0WdQm0JFwCzJ1Sb38AlqA/ao3aA81N7I69MXVdcFfd/jGefi1PfnV1Z +cr7kDLk3YM9ro5aHu1GLksv7pI4ZuMnHqfP2fzLnCXgDOoPR4PONueOcXMIe +l8adE3O2Rg0OH9oaOnE3yf3DxrgrIE+A/2Nzf88azM86J0Imf5A7xuSeb3jM +ib2wW1Pue1Jq7Z8Qv6k56vbgVq1Rbz4ed8vcMe8IP6P+6BV15aDU92Hci8Fn +Fgf//cZmbWG3tXEP0jWwhjheyR1sfHvyPi01N+Jeh/uAYzHnyTu1mIecQY5o +4d4m7Iy964I/gBePxt04d+TkJPLRrbltx9lTs1Dr3xn2ao/+ewJDwZ2q1O/a +wp7bgkty1nPjDpa7WPIW+Ws8MVTt+yn8p2vw7X6puSQ2AxcYg19uin3DZ9gj +OHEg7qM527lRI2yL2ocaqBhxdWbqfD4o7gY5zzlRa5DznwhOe7Jmif0Se8Qp +flYX/7+4PDUHgSuA+fCZQcETOIcZ4dusDy89HD56KPgS5/B01BfYGPwlP3L+ +J8IH3ggeCA6QXwYErmJPeCY2xX7kR/IyGPVI1B29U//mjqQt93j4KTEEd4FX +nBr19fmp/R1uRN7HtsfDvgPj3pTchN0nRH3RI+6FuTukj7Ph7MhjdXE/3BTj +6V8V/1MYFXeiLXGO9XHvQt6Bk86KM50e+PPNPXZz1FqXRS1MTbw7t45wW/o2 +RS28J/yfe7AzUtuROgN/fDd8cnbwup5h+2FxD0z/rNgz3KQ+dONcB4Yd/g9h +xpTo + "]], + PolygonBox[CompressedData[" +1:eJwllmuQjmUYx+/3tezu+z738z476gNyllOFyGmXCdNh7RLW7rJZzG625BDF +KBrWqAZTCTWOJR3GYSksi5p8KcqhqOxONVnNlA/IWaKIfv+5PtzzXP/7Otz3 +dbiv62ldPq3gubhzrpqVxmqdcq4W4jirFXRf1iXoi6w+0DeTznVMOOcbOVef +7lxb9urgHW7gXP/QuQveuXPObLSBNzLLue85YGKmc0XQY9HfgP6rGc4tYhVm +Ge8F9M+jW4SNHsiviWEEPAR+Ofwy+IXgbvAXwT8Fvyt0L9Yy8HlwT+hvA+6L +6k+c357zq9GJuOsVcA54IPZqkC/A5iDowRE+xE2mAPoMMpXgP7CXje5VVmHM +YpANrz/raprtiXccnVHoXubMH6FH607ovwe/Afw0cC54qzD0NPS7gN8HN4S/ +APwIeAs4CR4Jvhf8BvhPfNmNzjroIcR6CfaL4beH/yZ75+F/BH4cvAscol8C +7gBeAr4I/xf0Z3Dfg8QvG7qE1TtuNtOQHwXuCX4XHAd/zhk98Kcre59BryRX ++4lVFbnKY8WQfxRelfIDfRreMHKaD68JKx8bVQ3JOWc25y7DWe2Qfx35M9xn +MbLrsTkD2S2sedDF7I2Dvo2P+9CfFTMbjTl/A/oj0P+CvWbw6jhvLvKrkXes +kBwuR283Ml75ZN2BnoRcCXQpsqsSdveFrO3YXA4eyn4Z/PzIaiUiPnnisRal +W00M4+xifHwIei3nxzh/dJbZLkb+d/w5HZhv0pHuOey2xH4XbA7mvEq9IfQ3 +I5OBfjW8Iay1GeZDX3Sy4VeovqC/iUxP+kXIpzjvetziFem+rA/j9iaGQmdy +vwJwjexDr06Yz/JVOZnK+Z2I5Uvwp0AXItMd+dXgO9w9BJeC94E9dMT5G5E/ +hH+5nH8QW4mEvT/VwI7IbDWmRqqhS+APYDXNsDc9D3ob8iug12RYD1EvuYbN +D7CX6S0Wqvn58AJvta8afgX8GLpzudfJdMtrylttqwY+li/wbyWtd6gHNfL2 +lhTj6fDX4MMDaeaDfFEMFUvtrYVXG1mt6M3WQY9k70HwKmzcDuyN6a31YW8P +vHu81d4Y8Eb1k9Deit74TuitocVSPesT6KrQbCnGW6A3sVbG7IzN0KPI2bOZ +1hPVG9VT1VtvcN8dnDVQ/RP5pfDfQj7h7a2pRsaBt4dWi3qzO6A/Da1Xqka3 +Qe8KrffojddA/xxYr5tA/k5hawN7K+B3kz/Qg7z1TvXUpeDO4GPgp8GV4JOs +mWlWg/XQ3lsvUw8YD64LrXbVc2uhW+LPD+Cd+POktx6gXqC9FtDl+NyYO/Um +j08R6yTfQ+QzN8NqLPJWy+qZ5dhr7q02VeMzwe3AX8esZmeDW6B/NmmzSHnu +5202zFcPhb/e22xSD1QvHBFab1MMbgU2czR7SojRicBmjO6h+xzgfr3A9ci+ +iM5CdOdE1usPUz8vQ3/H3kJ4t8GvRRZjxVpvdDF0v9DekmakZuVhb73mCjYO +QReElgvVyH+BzSjNKs2YfinrMeo1FdxvBLHbo3kTsx69V/0msFmgmVGkWRDZ +W9OMKcP+r6GdpRyegB6vN6Rca36hW5Oy2j4AbqPYc85A4tkM//cS0wr498Ff +Dv868uXgzuBl4Gvgu0OrFeXkLuhC3ZecVKdbj3s+y9603vJk6JzQZpH+EfSv +MDVhM0Sz4zIyD8M/Av8i/CPYegJ+fmC9ZBP8Us7vqLfBeZfZn8Ndc1h30q3n +iK5M2CzRnnpTacJ8UY9aF1nvUgzr0Z+Ivfux9zb4H/DYhM0YzZYv0RmufgL/ +Hfg34TcFT4/bG2kC/RX6FeCj4I7eZln3pPmimTY7slqRTwPUq7Msl/oH0b/I +SfRnQZ/QG0Y/jzOGJsxX9cArgeVKPo9DNsfbv4lq7iy4pzdd/bP8Bv47sFwp +RxPAbb3lVnfcDb4RmK/K6TPgvwLLpWqiDHwhsH8H/WOMBk/JstmjmT0f+lJg +sdc/xhj4/wYWG8VwGP61Cu2t1LHXMrRa6pC0WKqmOnmL1TRk9qM/KWW51oya +rNyG9nb15jqE9qb0ttQTB6CbG1mv1D+C/hXOBvavpH+MAvSPpsx2LXtdvPUg +9SL13GLuX4QfBYH9e6hGu3qTVQ6OoZuXZb1A/xD6l+jmzRflfAH3+R8CiXay + + "]], + + PolygonBox[{{4195, 2615, 2924, 2121, 4296}, {4294, 2120, + 2894, 2706, 4272}}]}]}, { + EdgeForm[], + GrayLevel[0.2263331982012585], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmXm01VUVx+99v3sv711+93d/T0jAaClmgZqAygwyOqSohZYCiqKmrdWz +zHJCzYGcMERElEFxCZqggjjyQAERIXPGCaRSNMMSnq7WKl2tQuz74bvf8o/z +zr7nt885+5w9ffd5Pc6+4KRfNBQKhev0J1F/aLlQeFrtCP3e1qFQuKWxUBhU +KRTy5kLhatF19S1iPFV0q3hmq58RPH3Un662QePv5OZ5W/0zal8VC4UTa/42 +UuPz1K/MTbeq365+kdql4nu5VChs1d6zxDNeew3T+DdFP56bfkz9RPFdrtZH +Mp+RFQo7xFfV+jdIjusr/v2VznGb6EPFs0K/m7XuPaKHal5R6+wbfUPQA8Xb +XfQA9W3ch+j9ND4k8V10Ub9Ra2wWPU3f14t+S/S1oierP0ttmNZfpfHXRV+o +8WWiXxE9SfS9mv+S6JNF363+EbW71JYFfbTGT1K/QG1c3P3suNu2xHzwtM9Z +VvQ6C2KcNe4OelzQx0meeUnMCf67YvwaydYCX+zbEnO5P85ynfoVRct7XsG/ +OecXBd/F5Dgv+58Uc9vX+nfB/bign9Vem0Rf1uD7/aHo/hXLtjOxPNwxZ2Xt +B7TvSPH21/gS0aNFDxS9Tjp9tuxvG9Q/X/a3xeIZxdoFy4+scxKfkbtDtvXi +fa5svhkau09zDhP/1eKZGzJMFf2Z6GPFc1vIgQwzRf9edD/Rw6WTjVpnjHgW +aPxTtfEF62SPnsS3SDbZXd9Pl03eorFFRdsh31gb/vmJzw99q/r79e3wgvcZ +0eC9WGNCYlsfLtn+mljmzk22T+wUe8Z+e2v8KvF0TawXxu6I8e9r/O+J75Dv +3RLb9kdl0/Mb/P324BmamA+eszKfa7L6MzPrq6ZzzdEdl9VmcZca36g1RtR1 +19rr48S6OFL09sR3uFT9Jq03U/Sdmleq+I6P0r0dqbZvxfNmxVx8ZULZ9tct +5EFO+i5xxtFa/2+J72qk6I8S3+EdWiupWG/sf1vIMFdjlYrPScyZqHt8Tf2n +apNEfyn5BuvbJ9q3p/p3S6YX4wPsVbYM3NuOGB+a2+5v0J0Myc0zWH1LyXzz +Q/6Pgh9dN1Ssb+wYOZGNvViTecjNOLZA7MRnPg+/w0fwwcMl79JG+9GrGu9R +sfyva2yI6MHRoKdofLJkukv7nZg7zuGDrEvrH+sPijmsj5+gI3QxSnOW63cf +xf/h6osV3zN+BI0vjVfbIfpfGk+1dke13TG2M8bf0L7vih6m8c0V08SHy4OP +eN5Z8zp1sKz48HXBU401kZP12mLNCUV/Y3x30IzXGsxzb9H5rFCx7+CP0IvC +z9AF9jM9csbCom0Q2yauDBXPbo33Fc+wBvPgy6yLHMiO/WLHu0S3Js43S8Xz +u8RzyVdtYWOvNDpmsT6+RhzBJgeJfjF1/ttHfvRC6nyzt+iNqfNNZ9FXqg3Q +mr+pW4dHNVl/9IcH/afUd/xJzXfMvaO/LaI3Nfrb+tS5Kqs7h2M36H5NR+W0 +qnPj86lj917i+VXd+ODX6j8O3yFfn6/fB2v85+ovUjtM9MXqL1frL/oK9Zep +9RM9pW75sFvi1o2Z8/IAyXmJvh0unkvVr9W+j2m8ibW1zyFq+1W8J3u/FneJ +33KfB8d3Ygj9URFPsJ9xke9YY2fj19/p0Rd9j6Dx3X4V+ywxAr2Qf/ZghIpj +6s6IF/jaBSXrFSyEPG0xfkizfW6tznVqYpm5K+TfHjRyvxpzOQ88/4m8g989 +ELLtjDWv1Pj+TebpRTxscvwHN3Vr8hhyfq/JspIfujcZv+BP+BUxekFgA+6F +vDcnct9j6h9NjJFuLfk3NPYIFvus6FhIfCSOgcnGR37hnrBj7ooc/37RczkH +cYSzYO/tuXqq9J5q3b412/W1MYf9GSdHEP+Ij8RA4uJHERvBpyeU7NPkXzAK ++ARZJoQ8izS+UO0i8APyqk0VvTn2YP0Xih6H5+aS+eAhHhAXiM/ENuId8W1a +3MHTBePYeXF+cN7myGvTtc6yWB+/uSy+EbeqEQ/BguzNvtj4T+P3VM0bqzYk +YuH4wLfcObmBfLRXB8cTYhKxZ0fEH2ISsYnYxV1uLzr+oGP0S/zsF7gJXRwa +GJ9zDQgMtSRyX8+QAT/FR4mr+OWI0AWxk7nET3x9eNwVsWpa7M06nzbYTsjX +QyNnMwc5iZ98Hxx7LQ/siJzdwr7AHtjtXpELiOXEdGI7ektKvkNsGpxEjO0T +9Qe2yfoHJvaROZnn9qsbI5HL50d9AW/vwDxDQs6LxL9b/bdqxmvYGDgNG10R +fjEj4uWgwLHLgue4kuVFR9gg62Cf1A13l31Ho8D1JdvQJSX7Nn49JfO5DqgZ +96wN26aOmBS/Z5WcY9DvPYl94LzINRPDZtZqnzWhs/si/5H7OMeCwJy/LXk+ +c4kfXSOGsMfCGD9ePGNL1tm1JWNW5lJDzIu4gS722G/kaHwQHS2MtdAR6x4Y +ul4YOZV8+kjUMqxHTOwVPHcHBudOsS1sDLwxrWTfvij8nfvjvKt11mfCFvEh +Yi7rtQX2IFcv1/eD1FLxtDS53kDfbZFDiMOrE9svPr4usb//seA6b0b56zhF +z/2PjX2Qef/AkuixJWoibHpCYCPupH/dtg6ews+mxnmx1baw+c1Rv4DBwPsz +AvPPqtj3wC9rEsuKnNsS6557+DzqW+y5U8R7bOLA8MchQfcKvwAbLA+/Wxw+ +gwycm5jP2allp5Qd5zZFvCO+nZ259slrxk7oFZ1+mblm+UDjP8lcT52TWZ+f +RbyeqfP/Q/RpmbFAMfAAurkj6hlk2xxYcZj0/mHiuDFE9AeJ96KmvL7sOHtK +o/MxetxV9t32DCz2fsTDA6jHE+f6HoGbodH56vApcjJvHK0Ru1kbfwc3bWnH +0vEe8EXgT+6dOx8YeBrMTv7FvrjP2SXrDH31jxp0ceAD1luj+7had9EovoNq +zgmbwqe4p6ER2z9J7IvEUb4vjZwFXmU9sDq4hVgOtiQXLY18RPzbHXa4PfIZ +8vQIzNSOZ7gT6CERt/cLfItu2mtK4mbvqOmQeWrUquQi7K1vszFn12ZjzHbb +mZa7Nrgxd078Ku4OnbA+uhgcd/xF5GjugvXJ25sDV/DONDJi/eyKczZ1FXgX +e9ma+t3l3PLXcZOeuEG83xC5m3qRecQW6kjqLmoBYvO28Cns7pawvQ41x5IL +AwOfGnEbf1kX+sX24eEuxjTbbrqofy4xDz71mmT7Zdlnu71inIGfg6O5W+4Y +XNcr4sudJc9nLrY/Pex/ZsV4AP/nrQscwDfw356auui3nMnxnnOusP2DVb8t +vVG3X2+q+92MnEhNja4Y567/Ipu8WON/zpzHr4q8Ce9Vwf+Hus+yse7zQKNr +3vvQ7025MXVLzC1r/20d/Z7YTfT7HZ3/2sJ/sb1PFEvf6mhfBCNxX6xdqvmd +YoLkeU/fdzQ57k6Svv9bdR2ATpAZvRCnidvbIweCGxeFHx0fee3i3DnuidR6 +RXe7oi65Nd4MsU1yB3rZu+QcvDTqQebimx/WHYs+UN9W97471f8gNyZYmdmX +ofFn4gr8xCbeJY4tuQY8puT3Gvx3Ru7xFZnfW46J8Za65fmZ+r107jc7OmZd +U3X9Rjy9T/3WquuHG3W2TVXnp7cz6+Id1kz9Rlaue41OVa9zRu5Ytjq3frpW +raNzRPeu+ttT6lc02U7P0DqfVY0huobvd1P/tvhLGr9Kvyvi2VV1fXK2xnc2 ++R3ivcwY6H31/cTzUNXYam3ut4sz1T8r/n9WXc/0F8+YqmvfG0S/WnX+fr3q +c3LGruK/IHWex0ZuSiM/Vz0H/kQ8tdQ1c5vGWzv6Xa1NrZ66HkbvR7bX9U0+ +J2d8uGpZkfManXOk6PObfdbRqc/7v6rtEpvkrANSn3d01WdA/oHsn7p276vx +LPWZX6wZW7ykvnvJ+YPYgi3MDTsBt28I7N4z91voqtSYiPhF7FqsOx0s+gH1 +B+Z+t3w69Rh5tG+8PzBOziCeDI7x6ZltfVjNe7A+OYb8tT5y2IiS392In+TP +vcMvyCHkWu5tZuYzjK45/nWPsxxfcz7qnDt2DS05xhIPR8Sa76XG9Pfk5oP/ +hJpj/qiSY/UTWv8o0Y8Hdp4WdQFYn5x3fGZcCD4ECy/PPPcR9Q+rHSH6ocxv +kqxDDh1T8tsl73KPZf79aMwbHfvCe3Twn1Zz/uPdl1y2PHAmORbMT37gTXJM +rAm+5a0ZTASuQwYw3o6o9cBiK+vOX611v6uC5YbXjbnA4uBwcho85MkW2d8o +Yliz8Sd+vec9v+Z6hPc/3m557wa3l+rGp7xfvpkbP72lvtZs+82aXYtPj3qc +OoaagbrguNwYa2zuOoV3WnLsg3XTS+rGBTcHNuB8w+OMq3LXP0+rvyR3TH4y +da1CzXJ/1JWrA8/3yD2+Qjzf1bpbwXCi982t06dS39nWqJGXZbafpeqfyhwz +n1T/ndzv/yvF/2Bme1uivphbR4Xc9TH/X6DO5fuwsEnq37VRT307N09rah9g +TWpq6ut1UWODfcEB3XP/3+fkqCF3p8YTJ2vfK/TtZep39Q01v1Ofig3X/A4+ +PnM+fDlwaqFmvPLjzO8tc+PNsE9mbNk37PSOePfelRrDjMuML26PN1tseHbg +pWdS22IlM4aaHW+he+JMxViS/6eAD8j1vOHMiXfLkZnlmiL5V6c+Z0eNTYw8 +B8bvnPld5RvqV2XOleTbbpmx6T7qX07tMyOo0TPXdxlnSl33dqhbh+wLzuVd +iDPiR1+mxkMnRQzAh9vfz+6Mt+vGzHVuU2YsdH2cZd/Mb1z7qe+ZuabuFf9L +vD7eDvtnxl0DIk7MivoLzEWsJE4WMr+jFTPXB5ujdqPfEvULWDcNvMtc3jTA +ya2Z75o8D+bdEnO7BG7s3eyab1a8XROb2Re8d3pmHDMp83qdYk2wGfriHNeF +PNR3+MTtgTOTzLV8Sf0zmX0QX8TmicV73sJT158/wn5qxsenZI4l7AeG+T/I +J87j + "]], + PolygonBox[CompressedData[" +1:eJwtl3uY1eMWx3979t6zL/Pb728P8UzMEUnuFV1cTlK5K5fjlghHKZdBHtfG +LfK4J7coxJPiVEhCM6WayBkeKiYlQnLLrZHL4zhkKp+vb3+sZ3/Xu9a7futd +73rXWnuXoSNPurQiiqIfoQx0VjmKHmGhbz6K5oJHQI3wg+DfB8+GeoNPT0fR +l3EUFUtR9D14ArQFXBOi6DnwTKg9+GToc3BvjJ+H/CT4z+APhh8Gfyj8UvhO +8H3AhYRvgN9MRVEenINmwjfBV4J7oPMq+q9BPcEtUI/KKPoqi82yfZAvE6EI +2SesDcHfrtAa/G1D/iCyb6AM+Aps7sfeqdjfjH5n9BfD94SuRdbG2mRkg9Hf +BH4ROgJ/7offyP4LoMPhD4NmI9uD/f9lby/oevYPQV5L/JqhqciHw/dB9xDo +Wfjj4Ddjv4R8Avzb8AOwPQZqANdjbxl4CWe8DvwKZ2jGdh/OMwf+fHT6Y6sf +NEuxhw4Fj2PP/5GNgPpmvDYTWRdoAbKFUFfwtWXbHol8GbY7s9aArBHaHbwT +9AJ4NtQBnOVMN6E7CX8z4J3ZvwB/9oeuhO/F96oztiFb/4LWgg9kbSiy54N9 +vZe13xWLxLFpl4uisdi6Q3dIPGL4O8EvBMf2PvT/QL83tH3GZ9BZVpadm3Xw +45EthK9n/8GcqQm8Ajot7xz+O5fLzm3lhHJjCmd+m29NZv8CcCU2Jyl/sZEF +P8XaOznnZBN4i9aQLeS8u7B/Pf6PA69AZybyAay1we+unEZWAz8r6xxfgnwO +ND/rmCl2O+lOs87By9Gfinxpzjm/ENwQ+1tNUEd0p8G3IF+E/HXwbGg1/BL4 +t8ARNp7Gv0Xo74r+7WXHUjk2kPh8hvzWrG3I1rbwn6a89jm4MfbeV6FO7J0L +/1rWb0Jvo7bst6CcPhN7Kfb8J2Wd3cr2Ub52h65GdjL8jhWuGS8qFthbxbeb +9cZjf0Pf6gGNShxDxXIx8mZwHd+YCD4GalTsq7iPIjHC3g9QVfDdNeBDEbwd +NtalfCet4Ji1J5FPgUrgHPQ4+AkoD94WmgaeDrUDX8Kevdn7EDYuBG+f2FfZ +lO12iX1TzBS7Ev6tZ+8jUAX7u8HHGb8ZvZ2Azjz4Fr1x8DaJ724VfDX4VHS+ +TPuN6q3ukPguNyBvn9imbD8KpcF7oZPPuMaq1pbhf0j7TDqbYqBYbIA/D/wP +1Ze0Y6BY/BtqTfsNTyC+w4J1x8BPjP1NfXsSMUhxN0+z9m7OZ1gMXsDaAZV+ +o/PBzwTXsnuw8VvJb0ZvR984FxyVbUt3rrvvhE4645gr9hV8bxr6r+vNoHtd +4tqrNclU81X7B7M2A7xDcG8Zi41fwHeRDzeRDyly4TmoCb4GqitQA9DbLvhu +70L/Z/AKZNsUXS+WoX8zeBW6FXnb2Dm41t2L/q+6v+DcuRP+J/ByaETGPe9s +cCq414xm7dvgGqpaqprzXtk1Sd+6Eb5UTc0Mvsub0flO9RT9P/Fhb3zoQFxf +hj8u45qg2lAIztVb9M3gPdqrOx8avCaZ7vjKYB/lq2JcH3ynulvVtPmxY6BY +KIdGg0ey9ibfXptzzHRmnV01/HZwgrxb0fX03bx7knqTatyx+DeZeM5BPgXZ +Ot0B8uuRX83+Nez/HRoPrlUNB49C/1n0x6E7HuqO/TRr3fn2EdBv6DyQcY0f +C+6FvD/6J+JfLfqbsT8l5RjNR3469DXfOxL+QmTN5MhlWdds1e4nyu79qkGq +Reoh6iVfQamS36Tepva8kfhN6m3Wwy9P3OPV69fpfYP/hB5I+5tp8PHYfAzb +x/L9E1TLoX55z1CapdaiMyjtnv4W+GJyoC9+PcmZ2pC/j/91Gc8wmmXOKTvW +AZ1L0f1IMcTWVeh8Ai7FznnlumLWiI/Ds+4Z6h2j2DOsym/0bGydyZ5v9f45 +0ya+f5ZyKO0YKpaDg2eho7F/Uck9Wb1ZNSkCzyj6znRX9+Sd48p11bxzwI3I +PsCPNLJ2/H4c7KvOrLNrhtMsJx/nJs614VW2pZzrFTzLPcyejaqfwbOJcka5 +s0fwLKKcUG50wZ+hVc4FnXFe7NqhmUuzl2qCaoNq8JjgM+vsA+Dnwa9Gvzd8 +C/sPI1ansPZF2jOZZrOl6qfgD6Hd1NuQHwS+G51fS16TTHe2MniG1SwrnWnw +1yTuferB6sWaATQLyGZn9QJ8by06Vq3ca33i3qceql66Fnn7ot/QaHw8LThX +NeNp1uuKz7PYtxxZN/BViWcvzSSaTaZD/9TbYc//0P80+C0qh5RLXap9ds1I ++4JvK3mWk82e2EpD01OeMfcse2bX7C6bM9jfv+S3rBlcs3j7avuimH4Ue4bX +LK+ZtS/4hsSzsGzKtmZAzYJ6I/Own1T7nDqvasdBZc/yqrGqtfqPof8a6skX +s3888qOITz/NBtWe2TW7a6bqoPcHPzDjHB+i/o7uyirXX9Xhi7CxV9YzmWYz +9Sz1Lv1H2Rw7Zoqd/qNsij1Da5ZWjmyBHxRcCzTza/ZXTig3NOO2IX8Z+VEZ +1wjViumJe5dmTM2aemN6a9KZo9kW/w6IXftU41oS1x71XPXehuDZR/9Z9N9l +bnCt0Zs+A/xS7NzWmXX2Guyt4bwdC47pMvjvCu51mplUI1Ur9R/mJc0KyF5R +zhVcw38quoeqd9YW/LYXVRnrjQ8M/q+i/0Q5bLUV3cPUu/YpuJdWxsbqqS1F +9wj1hnegDcWtbwAbNeg8A99acG9RT9B/AP0XUE29Fft3aP4oem/Hrb42FrxX +Pq8ueibULLgeyqE/tcp4X+Qbi14TVo/VTKfZTjlQB/4L1w8McQ== + "]], + + PolygonBox[{{4348, 2721, 2565, 2175, 4368}, {4366, 2174, + 3138, 2631, 4244}}]}]}, { + EdgeForm[], + GrayLevel[0.3168664774817619], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmHtwVdUVxg/k5iQ3996ck9p2RjRQeVlhrNpq25kWtdp2OuMD0HY6FQ1g +HcWqoOKrERAlPmvroyKQQAghIBABHR8kJKHYaC3Yh7W+/7C++7AVFSi2U7Xf +L+vL+Me+e9199l577fX41tr7sHPnnTF3ZJIkx+inSv1leZJcm4poSJK15SS5 +UuS2LEmOqEmSpZpwzogk6dL4Eo0/ofFjC0lytsam6P9FWrdM8/6bRH+v6aWm +PxTdVhX/odeJz13qnxafzaI3i35H9HjNGafWJL7j0ujZ9z7NWa05r2pOu+jp +ou8R3SH6TNHtojtFXyB6g+jVos8QvUL0opqQ8wAySOZWtRn6/wOd9xDtsVb9 +SLVV1UlSUP9DtfEa36j+YK3frfmj1O9UvzMNWQdNbxH9mOhfpZ9+f8xzhs9/ +ivpfav33xH+Z+lvVThL98yx0g76Olzyr9P90ja9R/wu174i+W/03xK8mDdlv +l0z71B+v8Ra1EzTnFvXL1U4RvVL9Dn0f0PwB9d0+C2daJZ1Mkyx3aM512nOx +2ruy/dw0/qOfeWmMM4bervOcWdhCdLd4tqi/EZk1v65eupa9Suq3a16P2tgR +oW/W/yeJdQvU5oieX0ySCaIvTuPbFPsP+yyyDKnku1/71Kivrg+/SdXPToMP +slyssV7vt1Lnmqp1t2n+QVnY47PqC9qrqhjzevX/fOmnT31FrUdz6tXXqj0g +umg/b7Gvs393Gud9sRJ+2ad+ks/O3Ne15ibxfFP9dM2dpvaA9npS/y/T+C71 +Z1XH+Tn75/T/cfH7vPpN/na/+n+p3SF6j/rJDcHrPNmrwbb8jPpn1Jo151n7 +DP5CHO1Iw/eIDXjje/gm6+HztPqfqJ0r+i31t6pVtP4W9ReqzdT4X9RXie99 +WrdQ/Ui1daKvVX9BIeYfrn6E/q9V/1P1XbYjclyu9YvEZ2RD+M9E+wz6YA46 +wXbY7XnRB7v/kWR+zTIgyzy1S0Xvt7yseUHzLjTPPSPD7mfapns17xJ9m6v+ +Co0tLsb/5cX4f4kx6fpiyNnqGCFW9qhPi+Gz2+qEaSWdqVa60pqvFWPPkxti +r5fkXzcUgw84xzz448OjRX/d46sdv8Tx2tpYw3gqeorojdYHMYBO4DHffA6o +P08ynFQbOIJdO5I4Nzrl7GDVKLXxjq+h+Ekizvs1fncS/vpAGtj9VfFsFL85 +aYw96HH8HXprIfhhD3yJ86Gvi/yNNVcloavtjmt8a1DjfRrfZbofzC0E3oF1 +jD3uOQM+C/6JjOASuA+mMgcef1BcjSGeK7FvTxo5hhjtFb2tEDHX4rjrljwT +NTZBrbEqxsgR91QFnhymNrIYegcfnqkNv+EMb2ntO1q3sRB8+y1PE/4rPmcl +EeOTjW/I0mt5tlm2liRyCPPY/w37K3GGnJO8FryGT6v1DH90vVnyFGpDVmJ5 +6XDeLIf+ZgnrDi9G7BF3PcYosIozc3bOeHMWuAf+fVAT/PCJ6tqYx5zjsjjv +TdLthGLw49uy+uBzWiV0wRzs216I3ATf5eWI0R9r7nnGefD+3ixyKzkWTMVm ++MkKnW1sGrZ4N4vc+OU8fAZ8w09eMz6D0315+Ht/HngAf/b7k3EP/Ot3Tie3 +oydyATrqs2zI2G1swffXq19HjBYCm4kl4mhEHj5HPm8SfZRi/pqG0ME/rKud +XoPcXdQFap0aeyMLHsdo3f5C5F/qh5cqUZ+8IhmecA1DLTPbOYvctb4QmECN +0pZFT82yy/Gzm9ipRHz/W/w/0poVGv9ffcTHoGOEeD/W+z5cHTSxT3+cx4k1 +cgSy7vIeD5bjDNQe1EwdkuH76teUgz86IU47ClFvUB8QRyvM/1nNGyfev5eM +t2fxnTpisv0c30bX4Co+sbY+5Dm7Enpqs2zt2muV2krXX8QNuf7Jcuy/VX0b ++V2toG9Paf2p+BTyVyIPvJrHemqe05PIdTud76DJf5tdb5Bb8YcjZeNq+f2X +1P85C4w8Wnw2usag1hg0D/zzrHrHfX3IjazIebb+n6B+u/oB18bUyJ1auyYN +/Q35jPpvJ6GD/T47+XmH68NVhTjDiZrTnMXciZLnIZ2xWueukpwLqP00/sU8 +zsc6fPLXrpmpna+ihhQ9Ng/+xBQY+0/XGNQaHeBuIeZhL2xxvGuGAcfFkF1E +fysJvSIbsQ9O93vemkKcDz74CPR06wKdPCR5fuOaitoKnKT+Qde/zQIvj8yD +H98Yv0bjJ6sfn4fO8FH+g7U9nrfd+R4MH9Kz5+DLzMff7spCFu4E1O+7bEf2 +h0fLMM9CYPgO31+4x4BJg9Yt+RCMvdJnB3/QNfprt37ARehpzrP4GLjX6/z1 +u0rEAfFAnM+oRKwemhuXCmHXK7Lg94U8xrrsM5dn4RejNd6dRc04SfQGrb0v +DSwZsmkacjS5PgI7V6YRP/dWBR7i2+Am2AxGo4ftWcg7OY/c3m3cpu5bb9le +1PqjqwMDqN+mplE7kSPI8WDvnZWoXz7IIz6J0xcq1mH6aQ7fav0P+u7GHe7l +cuTjgxt8Ls35bhIYiQxg0xZ931sT+/W59n65ErIhF1i9KQ2ZyFlThnO/1m5y +bkfOR4XxvcWoxcDFAfteaxq5ijr/LsnTUopakTzwovnf5LsVdyzqweNcE1LX +zvHdBRtgi2nGT2hiZLFrNuaiu6mur7APdsLGU13LMU6dS/2AvakRmlyTYUuw +kBhjHmPkPOK13VjKfWi211IrDssI1jIHP6MeXuZak++chTMsdp1MPbuuGDU9 +NSAyIBu1EHvAC0zgTNwLyQfUvdSJ1C2jq2L8gHWyyvsuKUYNjP6Rs8l3t9X2 +43bbClti67G2C+d93vcd7j1DuT0NfybO2A+f417LG8FpSfT8Jx+P9Th1CHIx +H5mX+KwXO8+02RazqJ/qoj76UO1x+cPJtVFTbXadRu2OXyLnC77PEHfYZ6xl +BoN3OgfhWyssA3mQOzz4W8jCR6uzyOkz/C5RY/8+td73d+M5djjEtnjb903u +nQvTyBfsP851F3rg/abZ3z72ew7vOoWGuKNxV8OO3LP2GDtmWbejHO/jh+PL +dgFTwVZqlUW+2+H/nId3CXJKs2VAngX2TXJ0VR54fGwe7zqNfkcC1/DZ19VP +zYPP6XnkPHCotxx13HpjKfUUMYD/U6tyJyH2wfVtxurWcujgozxs3mg/GfDd +nzeASb5D8A283+q80Gi/whbUyNwxqJOpFcCM3VnUf+TM57KI9Q7ngrZynPXG +zHHnHErOA//6s8BcsHYz92v52qB87MSqyP1gf0856ohO51bsMM224M44zTj8 +vt8KeDO40TUWb0Kp3694x2r0GxpnZ9108xl603COw/7zHMtb/Baxyb7JHYm4 +pI4YdH24236wyzmbPLytHFg103mIvsm+Sm4DAx4pxx2AHPtWFn6AP7wHrubh +U9V55Dxi8eFy4FyT44v6Bkx9tBz1eJfz/tD7oH2JewNz8eFTK2G/m7XuKb/D +8B7D3PHDuCH97y3F/QqbjzE+fJJH3FCLgVvrjIfsiS/ih10eB0OwS5fp642f +2Ij5yIpdh2Q2DQYv97vEfGMyeXSta0dsD+a3OY72l+JdgDsSuD3H2H6F+cCD +mqjTvrjVtXSSBy/8CTvdoPMeXo4753qfhRgjvolz4og6ZL31e3RDvI0c5dr5 +RL+1dfpc6P8I8SuV4l3jkTxy+PZhH/a+nXn43XMa35eHjrlPzJM8c+sCX3lv +udBYtMbvsbzL/sxvpLyV3um3UN5E/6o992ntRNvhBut/tvj+vS7e+xhb4vGl +fnfl/ZV7MeuI64XOAcTt0L3Yd2Nw7Fpj6SjxrC5FvhwjuqYUbz3kkCXOa/M0 +9s26OAf4utA850p3x2h8pn2q2TbF7ybUhe8t9Jpq55Bm73tJHvzezwMnDjJW +HPD7GO9k55ciV5GnhuoA5zLsvKQubL3A8rDvVzT/0rqoq3gX2Wi7pxo/pBxv +RTvy4DcAhmjs0HLUPj3F0C+6Ha35zaKvRl+uX3kvpEaHLzwnuKbnvbCvPnz6 +Y8XUTK17qBTvsshBDUH9gF/zTkVOeSV3rlN/RB71IW+T+B/7s8/bntORR611 +nd+ruYeDC5s0/sc8YotadVwecZJkoceC3w/fzAO3uF++l4cPchfvcOyAw+gR +v6EmPCyP2uWTeuN/Gti0ty5qCPxoREPYn5zwUSXqgBma/3F91G3zJcOYPGjG +Gl1ncHZ0usW2QV/o7RzN2ZCHX7QO50THL3VJwbL9TTI8WIp3r/2i95XCp6nl +uctTH5PL9/qtCb1ucH7lbgFNDKMjdHV19uk3avLe+jgLZxo6P3kki9gmxic1 +RL3T6lro/2YUasA= + "]], + PolygonBox[CompressedData[" +1:eJwllmtQVVUUxzdw74V7L9xzbjmVpjAOGFlTOZNUM+YLsmlGxNS+pJRmTTqV +gJVYUE0TiJY2iqOSrxCpSSQZS5M3M5VWYA97Cn4oTLHMCkWoL1n91vw/rDn/ +tddjr73W2muf8UuL5xclOufegAJQKObcziTnHgS3pzrX4zm3Gbwy6NxxsPNZ +59ODcgI4Me7cSyHnClhLAK9jLS3ZuWXIC9KcWwW/A/lWfLbiexc+ZuNrAfo7 +weug6fBz4deCg9B+bGfD17D/KOwbkWezlo+/75HvQVbG2g/gTuR5Kc7NwH8X +8jrWCpA9gM4e8FpfthbTq+Aa1u5DPh/5NtsbGkGeA9UTXxJnCCbpTAHwCDYl +4MwE54bB16B/NKAcfEp816HTRgJDYecmgW+LCw+yx0z0v/MUq+XwW/AA1ASu +Yu0cuBSdXfjfxp7t7N+HzwXYPwV/nvMMIT+I/xrWCvHdj00t9h8Sw2nwILQx +KJ9/gsd4qk03fDe+JsP/Bn8DVIP/C/AHnM7wOzjKWi17LWOtA/1D0HSnmlnt +PieGDOT5rB0HV0EXsB1gzynIX8dHLvh+5BvAZz2dzWp0BnwYfzOczmhnXRRT +L1RSj03wm9GZhf48dKrBp/Cfhfxh8t0HvpYztyYqJ3ngAmyS8TUFWmK9iM3j +2Jdi3wa+1eoXlo3ZLompl6ynH4kpp5bbb+iZU8R2ddS5xXwDYfXQWPAYKAf+ +TiiIfDT88pDW/oAy4O/im46PZOTp8E+GtHZ3xLlxqbJ9IqSeNL8W0y3EczJN +ubQz9oIzsa9GfwW6L6NzCL6Fb1JYMTVwxixkc7DZB66HrofPIj97fd0xu2u5 +xNIOn88Ze5NUc6v9ozHdZavxY+Bh4jvHHhOsJ/A/AX4kKnvzcx7+fYshUTGM +jitX1uPW60OmD2WbLdQL/RKVryB6X6TprljPfAmOIruR8zUQ81R0+qCJqcKh +FOU2hM4dYeX4KDgxopzZvR6Gz4ooNtuznBiKo8rtCs47jTMOB3SH7S5b7L+i +nxjWGaw2R+DrU1SjVtab4d9K0VoReD02B8BD9GRFVDWxWpiOxZ4OvzqsMxyB +z7V8st94X7m8HFEuLKe58MUR+RqHfUVEObLcBFK01ysRYduzDH8bWGtK0R57 +qdFk/BympxeRvyJfvVGJTklcurfbnsmyKYmoJ60Xbe0iOehwmgmXPM0Mmx3m +47L1TqpitNgs5+9FVROrheXMZpbNLrvjOdi3oH8P/urhJyBrg78X/h34ifCv +eZrdNgPWg8f6in0qa/3Ev5K1SUH1ZLK9B55yNxP5s+AXPfmaBf8C+CqoK6AZ +9zF79ePvJHVcTPynwc3IVyE7iE4L+BhUAd8C/wn4GWh3QDPnafAaT2+TvTFV +4DlpmoX2ptjbstHT7LIZtAl8Aqp2iuFr8BVfd6+c/f/1NfNs9tkbFUCeDL0b +UEydxFsO/3ZAOSsDb/E02+zN2Wq60ELwctYawds9vUX2Ju6w2explplOE/ih +mN4Gm8mF4AD77w6qxkngNz29pfbm1YJbU5VLiyEbedhTrixHXch+9rX3Us5z +BnzJ110aJMcXfc1Um612p9aQqwFfulaDs+AO/FU6zdxO8E1xzaJ56NwcV82t +9tuxv0K8H6Sq1laTDF8z32b/NDsj8n2e3h7LYQO4Gf08+Dr4THT/icmX9ZD1 +UmGa3mq7I3ZXYp5qbzX7CNsgNj1OOQqBT/iKzd7Qr8A/+eqlhej8CP7L19nt +jf8bPMrT22pv5DH8rfYUi935Uvv38GVrM7gOvN/XW2UzuhHc7elfyXL0mcUW +01ntzZqL/HlPd8nO+Jz9T8XVW/bP8R/y/wERjDyK + "]], + + PolygonBox[{{4191, 2609, 2918, 2115, 4286}, {4284, 2114, + 2916, 2607, 4190}}]}]}, { + EdgeForm[], + GrayLevel[0.40739975676226525`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmFtwVeUVx3dyzklyDtl7n4PXWok4HbBVZzo4FS8zigFahwjRsQ7YiiA4 +U6XeuDi1Is4gigkRR0O0nbYKsb4YbAnom9XxQa7GehmtEFBBjfahMwWVEAQv +/f/8r0x92Getvc761re+9a3rPnPhHVffXp8kSYN+CoLTS0myrTFJZur9cDVJ +bmtKkmHBjoYkuUK068VzTDyX6WnT+w11hnNF3yeet8XfKto4ydgm/HTBa/Xc +WkySu8TzkHi69BzUZltFn1ay3Puak+TDSpKMaE2LeG/UMyD+zwrmnSf8dfHe +zCP+7eLboadNspaU/T5D+MYxSfKe5BzW+6+r3ndJmiQ9wg9JTk34Zun3ecjk +//bQbVhrxkvWIclfLtiiZ4vwSbUkuVdrhqTj4YLXzhf/B9LlBq19Sfh67buj +4jNjq+1at0lrHij6DOz1I503k8yFol8kmS3YU/rslZx54usXz23S8xLJuUf/ +L9R+J0pum9Z8K/pdkp2IXqfn98LrBfc3W97B1OfkPOeKd6lkL5Pct/Tf9DxJ +dup9muAp+v/TOu91r/7P9J7qmaPnTr2XBdcLvq+nS2tOLfqcnPEV6X+Z1n4j +fGkp7kM870ruCuH/ErxH/1+NfQQfFW1Qz6p6n5vzc+YvuBfpP1f6T9WaxeL/ +j3RfoTUNBfvUSsHGUVxnfL/i+/mlaPsFx0nOftGelX2O6H1tg32LOx4SPNDk +O9sjvr311hnfxEehXyna84ILRO8oWC4610Q/KjixzjbG19HjHcG5skWP+KfU +LH+84BrRTxB9bNE25izcPTTuFTvvFrxe708J3yWdd1bsr/1N9tNM/Fu0Xzvx +RAxyf+Lfk+k8wm8Rz2eC22W/GZI1S3yPyyb7wkd3EK8lr8/1bBb/SJ3Pd5Xe +F0rmiNbfLvqRqv0fGfhwVbqcJhsukt7PhV2wyU7JvLLk92+1x5tjfGfYGd3I +A8ONPsMUreuRPnvLjp9d3LvWXaNnddExw179+m+znh9q3YbA18fDf8fFsylw +eBbp/F9o7QmpY+6LiKMhnWGh9v1EsE+865rM36r/f9dkH/qmavzrqv0M3T8X +vqJsOxDjL9dZx0WJ/e3uJt91sWa8IFiS/m/oPKvF86X+e7DoO0IXYht9Ppbc +BeL/SPBOfLbJfveB3ucL3y+4puC4ID6wF/Brrf2wav4DVdsNOdiOHPyLkvPw +eaJtbfLdko9GAkcv4hbd+D+JfHVOzfjZ5BjJ+Ur/VUXvr7M8dL5RtElNjg3u +cUroMxTxcZ3wN6TTNeJ5s2p7DRbsq18JdhTDT8Q7r975c1fV+8zWfWXyl5/K +J1qlR2vkePIh9h2tG0m9Y5575+64N94HGwzR4UjBPoT/YMsbQ+f3JPfkZteA +Bu27QXuUBC+UP58k+hUNjmf8iXNNS52rHxTPWuF9kjEF/ppz02TuWnY4EP5w +QeqYvV883cpRl0v+utwxRqw9F/q3hs4bcsfLesFHc9/dI4JbJWej+A4JDuiZ +Kf7XBE+S3KnCXxZ+Tup7vK/q+2EtMYrNqI/c218ka5bwJwR79Vwl/CnBSanz +0iqt/XNu3f6Uu56sKznfL9D6jxps8z/ovzbR/yj4rJ7rhP8t9xngwebAjwPH +Zr3iGVd0/oaOPOBQ8GAn8iA5cELqevqrqmsz90BOpZZ0l1x7uDPo/P9Zbvoh +wZ6yaeTewdQ5ea/gQ7nt0CX4ut5nif7P1HFBHJDrLkl95ge0787c9WlX7vsn +N+AD1KFO0fdH/iOXknc7cvtop+CnuXk+yV0r9sYZBwOfUOf42Bd0aOD0PMQG +un2XD+vtkwfrbD96GmzYFX1Uf9gbu3Mv9AHUxp+EHdaV3c/Uqq5HT2T2FXxm +mmg76o3Td52jNfv1/nT4Gvgz9b5/6jc+MBw5Dx3bIhZZ+7HWdohvKHdN407p +J96mlov+Tu4zDsZ51+buER/O/x+rxC89xO4610f6JGx0qWLqidS6Xib+gdw9 +yauC/04da1Mz1xhi5/m4F+6EeKcnoJ7+PM7XF+dCr7dL7nGoRWuj7r+Uuz98 +UbBQdR9TrLqnoQ8iTy4qOacXi17zUPSiQORQ1+hpkENuqxRd+znXxU3ua8lx ++Dp+RE1/MHc/vDq3bcGxL7FFTqfG3CQ4UHKuPBT39HDqvg17X1BzHNOTYUtq +ALXkq8S1Dhwa/Rr9BPtyb+/qubveZ8C38Ks9qWvN7tT5ilxFzSK3kFfI///N +3Z8dzL2e/o3764o+CjuQq49Fn79GtM6gdwROnwPsCDr5lDs6O7ePdwWdO1oT +eKHR9uBcrIVO3wQ/crDb2NQ9803yjRNT9w+/Fb5JcudKn78L3lt2LaffYEah +NuHf5Ax6w/nRS66MHpJ6Oz9q3MmSOSL6bZl7Xu4YH8FmHdEHkqfXRL3mztiX +foEYJqbphz9JHff7mh33qyP2qX/4yMSaYxLf3Za6bo1E/3ya3r8W/7LM+RK/ +xCfphQYjzzyeO0c9lrufYB12O1Vrj2ntYq2dp3r3Qtm9Of41N3yMO90d/slM +wAzWFzE0p9FxNCdmM2o3s8XKqMGToyZeLDi70XzwsIb3l8Mms4N+ZsxezAZn +1dxvTBB8Ibff/yO37vyP/vdE7KLfhyXnSfLlbzLHJLMa+a+77DULIkeSr+h3 +6X/oc86S3DpyR+o8Qj5pzexTS6Mfp96Q9+nDp8Uc9KT4T6t5HjhP8K9V15Kn +q65rH0WNYwbqjjmIOwdy7+y5IPR5RmvO19q+qmvN/Ohn+qOvnxK+NNr3oePG +6DG6I89T77DfujgvMdIddGa/JVEL8Hf8fnnBvD2jPA3GR++Atdj5ycy1d47O +e5X6sZ6Kc9hN4SPkt5sDkhup2fjii1q3T/zflD17EFuzovdj1tocdXdr3AP4 +8sx5dWLq+jAzahy+Mzv8bWPkb85+bfgV/vhYxfqhG3WCetGau/dcHj3t+Ih3 +YrwlcjAxgu7F6IHbI6/jk/T4K8JW0ErBs7Zsmcw7wLUxQ5HL2Jc73RwzCLFI +38fcRV2i5iwL3yXvrojcSx0AEmv4NP9TL+jRmL+oa48oR5w+xvowJ93S7DMd +qPjbBz7NPLeq2fowky1ptp6Htf8ZTc5dR4SPb3I8QRuO3uaDiudk6jw1k7Ns +j3zDGvgvj9mRGkC/w/cX8i7yXgmeZ+UDk/W+UfCpqmeE3qp7xvaozeRXeOh/ +yWmTYt6Eh1kUPnrV72bIetthV6NtwT7kC/x0VsyX1Cd6tMNxFuy0rNm2eit8 +lLvjW0JnfE+gJyo22v+JF3D8anzM5mfWTCsFnbgDPxrxwRpihFo0GPWIGrsn +cGZK9EGvCZHTrhSckVoGfRlrCyF/fswlrO8tu084PfwUHF9tL/v7EO/MrczA +8OCf+DF+yz74N3WFfpCee7TfBqdXGIr+HHx7fAMj9ltjFkbm9Mhv5Dn6t5bQ +4ceRM8md1Nrt4fOdUYd5Jy6IPXyPdXujv8WehbA5OYXcMlB1TFMTsAM1cGbU +Qe6uHN9Mlsk/l1bsr+zfEjn0eMHzJLMk+WbxGOcc/Gw4vhtwpr6w1cOZe9pL +U/d3o7kZn8Qfj8e3KXyG/bFxX8wAc6LO40v3Z+6lzkuds8fFWmrv+vgWcV30 +bpyNHM+sxx5LxvibCN8U+BY1Ob5HdRZd0xdGr9gefoC/t0V+Xpr5vD9IrVtv +nIse/dT4ljgvenZq1s/IAxX7Ysf38s3KzH3Luan7uFXfq3X8z1rOWgn7M8cy +pw1kno8vqngG64p1L0UPn8V3KuYo9Hgt8/+nhG4HowcaiNlwXNCBLUFnLqkL +v+qJ+4HenZlnunQ+X+e6s+LcxEyOrNcz6zg2dACeEHbgTGMDb6/ZH+m/yLdp +8Hdm5r8wZuI0zr4hcjn+v1hrL9W+t1ddx9h/JPyQPM3dkY+OFtwzM1cj69XM +36A2x2zC949j4bdTy4497hGf3RL99q2Zv1+cFP3mcMikV++PPpzvSSNB5/8j +4fN8C8Bft2X2qePhV+SPqbHX86E3OhyN73fg1Nt54bdtMX8Ts+h7NPjxy96w +SW/koglx7i9Dn1Lk1aNR096K+e6OzDynpK6VGyK+qJmbInb+B+V8Mfs= + "]], + PolygonBox[CompressedData[" +1:eJwtlltQVWUUx7/DOUcPR87e+5Sa9WDyYBexSRxNbSYLpRrvjdU4U2aGlaJ4 +ARwz0sbJFCxJRa1UQLQXRfOST16qmRIBMa3UvAveH0pBUzCzy+8/y4c1e61v +3b69vnVLz5k+elqKc+4HIAJ85ju3LeTcC1HnloJ/DGyBfg56IfgKYAj4vvbO +VaY5Vw49AvobZL4Er/GcG4OhQ5zNTjg3Efp6GDuc/Q7ejMxSeJeRvwr+NTAW +ugHICJzbj8xYZI9AF6E/Gfom+gs4+wO8DPkXo3ZH3fUrdHrHnGuDfhW8CRgP +PROd9ehv7uBcY9y5Vs58fvRn+K+Abwd/G3yBb/92B1jD/2xE/izyt5DxkOmJ +TB6+N4Ivxl5/4H7oRchfQXcw8oWSJx4PozMbG/XQ+8DzU/EHP4DO5T55nF1E +pxjdRu57Hjwb/jj4P6LfDf4U9NM5m4tuN6Ccf76NbBL/FeCfyCf6e5Ev1325 +X1/0HPwx4BXcrw68gDtmQ1cj/33IYrwFvBc6HvazsD0I2IPNkRH7x9eQvwVM +xV4LNqaDL0Jna8h8fgq+HNgeshxYCX6Guy9Ps7sqZpPROYHuW+AXwAvhncLf +FOgiYrAE+RzOhiKfztllZCbwfRM4C16KbF+glf/bFrNYLEkzXcUkJUmMOW8P +XYB8PrzuyCxOtRivhs4KW0w2wP+COw6N2p119/1AIfRhoBf8WuhfQnbWAP4r +cAx6DvRvwoG5UcvJTGJ71L/HAzLRX87/5OFzJP6fxmeEs0p4zdhIAb+EfAn0 +CaA39EBsdMFWGfQNeI7/eQ+9dtw5H34ucDzFcvgc+B5kJiF7EHgC+if0RyB7 +AjiC3xL4WVGrUdVqIe/5D7wSfDSDzyI2fYCbxLMsZjWqWh2OzmrwVb7htfDX +Yq9UORm1N9fbH8PfaOwtAlbBn4HNO+DF2L8GPpX7r4jbv+9X7nDWBn8h/Kvg +S3zrJTXYr0C/GpmnkG3Ue6dZDamW3kC+H74qoUdB1yFflWY1olpRDC+Dfwfk +Ri1nuyfs7Vci1zXVcqAC/o6Q2VgLfj6wXKyH7gF+I7A6VK4sRf8AMjOj1rMy +oDt2sBpW7SpHsznrCq8KmfboPgh9F92/9V78XyfoVvBbwBTogcRjLv6b8PEs ++CNAwHvehX40aT7lWz3oUGBvqrct0D9zlwJiWYffrTHrKYqRYvWy3hzdU8pv +7B/mLFv2OYtGLCaKjXqqeusy6OvgO4G6kOXQt+AtvvHOAH0CezO9ne5YD76p +g9Wgak89s477nOY+tTHraeo56j3KuWLf3khvpRmwxrccUi6p5j737c319sqp +xb7VSiX2a2JWM5ohmiXq6ct8eyO91evAJugw//g+svP4/x38aw3QyF2rgb3g +69Rv0X8J+SrfeoJ6g3Qi6B6AHtbOuQH8R1HSak61N46YPZOwmaTZ9Cc6uaod +5GfFrIeol+gtqlU/MXuTVvjT7vWyDeifi9uM0Wxpi1kNq5Zl41/wj7DRFDee +cnRXqvVA9T71/JlxmwHq/ep5p+M2gzR75FM9WL1YPtvA05OWWzm8aSO2j3vW +61vw+S5476TlhnIwE7wnd4xHLMeV64qhYqme85/eHhmPO3XFxwDwo3rfmM3U +9ZqtyHsR64HqhT2QcakmI9n58CdErEaWedYj1CuGAw3wdgILwtazDiZs5mr2 +ykYGtnZzVhy2HnMcPAsbTSk284Zo1ibsbW4AkzyLuWKvedKCrZMJqw3ZkK1L +nOXEbAZpFjV41luOcf85qnfP3v4k9IfQDYHNVuWIcuUBzv7C1m1gGrL1vtWm +ZoRmhXq4erl2mGvQ85A/G7WeXop8FP5a6HNAv8BqTLWmmRAOzKd8a4coQX4U +dAj/g/DXSb2As/ERsynbz+NjRthmejb4Zt9qQzNdsz0LqE0xmUHC4zbjNdtV +Y9qZtDupR+WB58dtZ9GuopnQGdn+cft/1bh2Nu1u6ilFnvV49Xr1vALPerp6 +u2I0HXxwYHfXHcrR7eHbrqQazfAthoqlZkaXhM1czd4PNIN965nqnZoZnfU+ +Ccsd5YxyJ5mw3G4G3vFsR9Ouph0gRP6MSlpvVU8cCf64b7msmD7m206k3Ugz +Z1NgO6F2Q+XIxcB2Tu2eE4FdyD+ZZjNTs1I70hHf7qqdQLvBOt96jWaMZo12 +VO2qqrF53K8xsF1GM1yzXDuAdgHlRLvAclC5qJqa79kOoV1CO+EF33Jcua6d +tyOyVfAzY7YjaVfSzNfs1452M7CdV7uvZNYFNpM0m7QDPJSwmaXZpZwaDL3b +t3/VTNBsKE1YL1XNXUlYjBVr7ez3QfdLWq9Rj+gP/j9mDcEy + "]], + + PolygonBox[{{4206, 2622, 2929, 2156, 4339}, {4337, 2155, + 2928, 2621, 4205}}]}]}, { + EdgeForm[], + GrayLevel[0.4979330360427687], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFWH1s1dUZ/vW2vff23v7OvZcv9z2rmyKgfBhpQdBoS4IJ0GmQjyYThdKq +KDhokYBjLMAyEM2cGpMNXGJJNs2W8bU47Yby9Qe0FCKJfEO7ZcGEqS0dlMIY +ex6eh/DHyXl/57znnPe8H8/7nl/F3EVPLExEUXSiKIqK0Q9ORtEQtFX4XpKK +osVo1aDngelXoPeCXoq+GW0W+KamNL4Ia5/JR9FEjO1G31GO/cD7TdDT0lG0 +Getb0O5Iqy/CXBXWvYpWibYuLT7O8Xs92ofg+XMuip4qjaLtOY2R/0nL8obl +mYa+1vSjaEPRIrSNcRT1YG01ZLgjRNFxjFWg/9RyUt6VaIdAv4J+PhTQajm/ +Db4j4L831v48i3f9jsc534P+bfC247gmzLWg3V2kfrP11mya8zvQtqO9z/2w +/i2sXR1Lxy3m74Es3WifFenMab4Xvzn+Fs7qBH0J9BbQXabfA30ZfV9S8+fQ ++kHvjDTGueUJ8faZ/0JS53HvK+ivoq0Gz3X0UUprL4L+D9ox8BSlNN5dpJ7f +r4K/1zyUjXtwL55fD3v2gedkQrJcsczdPvcXkXTZbZq6I+910MOC7nYP+hGw +fVcJ9A8bncX3y6D/if42rCvAZvvB15GUP84HPQpjI9H6sdde6Hcy6H3o0+hP +2fcasVcd+I/mdeYpn8v+tOkvrMMbMhdJL7T1mYT8jD42O6l44Nn5sij6S6nW +/wTytdL/ce4LYP0r6BfRfx/fu0HnMf890LtA54Liotb+vyahs3luO+SbivE2 +9O044xLu/jzG64tEz6PPQz+XQT+Sk7/3gV7p+T7zLMAZH6EfjDPPg+csxs+g +nUWcdmH/ioLkI89C9DvywoHp6Cdh7WHorjpo7uMixfu2nHDiX9gjQpuTRYym +5d/UPeOwBjxXcc4k9M8G6WEgZPhWLP1QTzU4ezp0d7JcMUiacTgoKQyg/uYH +0QWsWxgkw22gf4DzDqZkjxMl8iHajve+7LtT9g77RmNK8V5quiGluUbwHEJL +0Aex7mBS+w3E2AC0pGN5qeOUuqU9qOc2n8+1PIO2KbY85KG92B80P/V+Gm1O +Qv5DGSgP5aIsN+VtsF/9LSEsvoknxBLuyblm09TxFd+Xfb9pykJ6QSQcavY+ +lK3JeMVzG62HeWWyAfF6K3Q71/S4lPYl9rY4L3BtF/oPUpKP8jb6LhWxcGuA +cbfX+MC4J+48h31+jrnn0R8JwgnGAGOT8bq0WHFG25al5Us9XkesYCw3O54f +KNY+HH89KH760C8P4l8GWR7LwM/gX29iv3ewXzqtO9RifCbG38X3PuxzZ1p2 +5Bx5bmIS5aNs/dhzA77vD5pPmYfr6AcJ5yDKTZn3I36mYO5AXvhHfL2J22tM +X8ReK0Dfib4TsjRg7nRePkb70b7vQc5qzDVhr1XgWwL+5bFwlzR1229+2p26 +OW1c2wC+dsT8COz5yyAZVmLsR9hzSrnstzatO1AHxKdnEsKDnUH0klg62uH8 +xTig79KXdmHfp8Gz2HhGmjH7NdbWcS36bWnJzvz3Yay4OhwrjzCHMNdwvzr7 +O7GW+ZV4+77zJjHltSD+VVjbBl+dWi4f3IvxeowvtU56nbPWWbfUcS9aE+jv +or8alLvHoZ8FPcwo191oQ2IKbUgM3mDZPgXfXNBNsWScbQxhHcLaiHi4p0g8 +xMgG64cx+mv7DH2H+DDLmLA7aG1zLFl7nZf77MPDg3I18zbHWbNMSEq/HcWy +Ff2tyrVIJfqJsMWz8IPPguqmH5cKo4ltHea/F1hcwrFy+S/9mz582jmBeY15 +7FSJsHSo5zg+PiV6WST6wdQtHKPd6A/EuZPOQbQJa5iXIuH9VNeKta5tOD8m +SNejg/Jfq3N0j3Mu9V/mvEJZ3jTe8Dzqb4/z0XHndOZ2+uwu51zaZLfz2mbX +WsS+6c5xv8vrTtyb95rmWo8yE7tWWP+MoTPG7c4S1SQlrinJdz/suDrIXq+A +HoX5TuwzskTyfmDcfCyWLR4JukuX7/MnjF/B2oEF2Y2xvMC5fr5xgPU58yIx +Yo39udc1aZNxgPljvnMQMYF1Nve5ke9txyrX3RyfbKzl+H1J2ZS1Fe1/0j4w +PKe1w9CPLdb9efeBppkjyXvC/MwVzBn9znXj7SeUvdK1PWv5KtfztMcJ1zYc +G+dxysG1tAtjknLShxn/xIGOoFzR6DtcQw3ym4zeEqwBRzl3U6+jXBMOcH3I +8XLwHsgqzxE3LhpPD5crvn+a1xryUwbmE9abzDXkY+1MnVc6BifFykfUEfUz +rqC6cHxBtSrnuJaxTp+hX70dy5ePOUf0u34e7HcYbfR50H6MXcY2Y/xo0J0b +Hdfcm+PMhaMdUw/HqqGZb8bFwrhtxuHFGJ8N3q+CvonP1NO5WHu+hn4/ZG/L +qhagTrf6LXcjb1sPPPMB3/dL8B4ok98fiqXjLvT/w/hw6DrgTk+A3phRvXsu +p/dKVax8Rdyh/7AmZvz+3fjdZV0xd3W6Nr6Qk54ewtqvsOftGcUc/YLjxI1U +XrV7Dd9xBdU3tejHgr85o7x+NCf8HQOeFObr/A58w29bYgHvQ9kZy5uC+o1B +OZh+cCDIr2h32nllufITY7va9XMN+kIQXu0KwghiRVu4lT+IUWsh15qMsJm1 +C31uH3hGFyTfmILeD8S0T1yT7zbW3ee3Et9MxOF217FHXGtNyOt+rJ+IsROM +J8zXn+fl8/T96lh6o/44T19c4FzAeGAsMA4K9ufRzmHUJeN7kPmJ2xuN3cS/ +Ta67iDOMbe5Bva537TExlu1oW/ok/ZHnMQ9e8tuWtRHx7xP0lbHfuznZhHtx +ny+Z11nDBOmx3nnu3/ieSf8N8nv6/0tBcUbMpczEv/HGwHqPF7t/yvQQ64Ry +MF6/sL+dx14zGJP2h4Jxg7mPtRBzCuu4lozi7b+w59dZvfGop3etq0WWn/do +CMLCY0G4WGVc5VttVuLWm2y265BCQXhCXKFe11q3lIV3ojx88zXbD36bEW4y +vodlFKvUI+P4ela+/6BtRgwnds9wjVeRUewx7mjbd2xfYi3f6Un72ETrapBr +GNJ1sN9I1g241z+CbM0cyHVcz2/WOhPsn11++/MfAGUZaXmII+v8dub7cqZr +1+dsC9qEvtNl3BjpNx318IL9gX7BPBBnlAv4buH7ZU9QrUzcaQ/SWa5MWMWa +cWZGmDoHfWuZ6kfG15Ay6fbhguiH0FcVtLYS/c6cfP8u7P0k9nk96xo5Vr3y +MmUuVW5mXv5DqfybduQ7ZnJGtQNrkvOuS4bE8gm+9VnXP55RzE0DvSor+/ww +1rk8/xux/IbvaeJdnTFhrPNUwTn9j6Wq5e6G3Newx10FYUyn38fDY+XBduw5 +Ja8x1vicH2td0x7Ec9pxcF571sbS9TXnlC7ni07XUMeM+UMh+9MZvalYK7Pm +Wxb03+iI8y9rn+OmuRffsPSHLVi3Iiu/5BuGdeFSrN3q/4r8v8g30knXnDWQ +7QLGN8WqT9a7TmK9RhtQ/zPsZ7zLoFg0/23w/UN/bQY9NKf66Z6c/vN1+y3D +/xKXXBuznqKNad8Xs8IC4sCAWDHGfx78f0q82ZJTTUXZiAV8T/QYc26PlTuY +W/gvhli2Het+j7vXZRX/9PGPnCP45mJd3W3MaHX9TCz52DnoZ1i3PSNMol1p +3xGxciH5iWPt4Hk8q/ft/wGF9gZK + "]], + PolygonBox[CompressedData[" +1:eJwtlmlslFUUhu+00+nMN/N9naFQlbi0IIstomACxVArdGogoa0QodBEiy2C +EGtVoJiitdhiBFmCaEiw1URMNMYfbMalKPuP2toSTaAECR2XYEJUIFEIxOjz +5vDjZs57z3LPveec95uihuYFz2c553awwqxXks4NRpw7le1cZeDcZd+5FuQ5 +rBPIf7HWImeizl1IOHc+5txrcee6wDHWUXyOh5xrJOgx5JcDk0+wV4TvEuJP +Jn4veBz4gOdcDev9qMUoQXbE3YwcYNeF/wMk9kmOcyl881PO3SDeGvQjkQ+j +P0asBvaOIFdgcwXbNvYOK19yKyLmg8SowqcQ+Q/2hnNtTzEVe4A7zcV+NjEG +kVewLuqu4KXEPkq8u8Fp1mXkd9jbga6F9XSW5XAPuvG+3W0le63oJoF/AK8G +t4M/4LwC7rWcveGE5ahcPyOHUejGcaePsP2XXCcgd5JvLfkuA+fqjcBPgTch +17CKUlaLKPkWIk8l3hDxWonRwXmPgC+C3wJvBZeCh8Ed4DfBNfg0xuxMnf06 +OfwdsRhTVJ88ziO3dvB+5Dmc30beGd5vJ+sUNvmcHUE/iFzr27uqZt2qDfHK +IrfeMGk1U+32EKdF+bJyOb8H/Wjkh1lJ8HnwNOTd2PWC9+FTzVoXWK3VY4Wc +tY23+NCzmPtZl9hrRHed82eT7y/Yrwtbz/yM3Je0PlCOyrUW34UJ8z3IfVo5 +syluNv3Yzkdfjb4b/Cn6J/H5PMdynIHtTGxWEftZ4pUhnwlMDpPDaeQm1mL0 +X4EL8K0kp5thy1G5bsDnasR6pAT8GGdPZH3PWfdy5m/sPZNtNarmvO+wn8f+ +fGyawJX81pNjH/Zj2f8PXOzZ7KjH/8RvQdx6ZQyrE/+bEeuJMmKvIr9a8vsS +PBK8HtuZrCi2u1hV3P1xz+6umr+BfyjXZqAC+xfwX4L/1+DbwR3or0esx6aD +l3rGEeIG3elR7n8tbDPahX4S9v3I9cR4EbyCeIuQv8B/BLgE3AnOgIuRh7A/ +BK7jjLPIFcS7EbY3TSM38yZzPevNEcj9gfW67qy7zwps1jXjmvW+wGZFOSv3 ++znzx5DVdAO67ezVEGuZOAxcjv73kOW0LbBZfM+z3tRMVqK/gn4L+rfRr/Ws +Bnr7a8Q56RuX/sOd9yCfDIwr1APqhXrifYzPxqhx4CJsGrKt5r3of6Ueddk2 +M1PUD4Fxi2ZWszsQ2KyHbtVqL2+SHbIZ3oc8w7e3XI/NJmwfCixX3WmqMPqz +yGvY6wTvJMZmYi0ELwe/Cs4J2TeiDXl8yrhKOSrXWXk2e6qxal3jG7edA0/Q ++cR4N8veqBT5QNK4RZx4MGlcNy1ubyXOGw6MWzTDGeRD+h5E7Buib8nYwO6i +nMcg3+ZbL2rmmsHFnHkB30vkUK5vW8JmM8PeZHTpwL51eqMBdKvBdfj2gEcT +65vAuF8c/634lPsWxKwGqoVPrfrjVh+9wSjfZl0z9Rz2+b7Nlnp6JfgO32Jr +Zl5S/+Gb8MxXHCcOF5frjPKU9bB6WT2f0vcuad8OceoR5OOBfVvVo+rVqqTd +TZw8T+9Jjos94zZ9Y8Wp4tY84pcid5PP1RybIc1SXdw4RVyiHuyJGSeJi8Qx +ekO9pWZ2C77niP9EzDhKXCUOF5drL408PWVn6T+D/jukfJtt9ZR6S1yz0bNv +mzhHHCAuUI3r0G/17Vus/yD6L6KZ0eyopiXk247/Xs+4Shw9FFiv6k5p/O8K +rJc103ci34fPT2HjcHG5elK9qb2JyGeSxi3q8dPI/wM2rTIt + "]]}]}, { + EdgeForm[], + GrayLevel[0.5884663153232721], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmFuMldUZhv89+5/Zs//Z+997I9DKwUMN0oIHIrSVdgDRmfGmWjlMo6Vg +A00AgdYbK1agUqtWCQdLwPZCoFG4QQGhTWhaYEBilVYFiqATMDgmKokwSntn +LH2fvt+EXqystde/Dt/h/d7vW/vauT+b/tOmJEmOF5KkqL5WSpK6WrMm36sn +yX2tSfKu+iVFj/dpvtySJC+rLdP66anHL+p7q/qX1B7VfJ/OWKv1t+v3Re35 +XG2M7hinudlqb+j34EaSrNT4CvUrdMdRrV2u/kc6a5Lmr9aaH+j8nZrfprlM +/Q7W6PyZqcdbNd/W4jUrNL+9yfdx1w59W635Vo3nSZ65Jf++TW2KWlnzHzcn +yWSNN2nPsKLlzTTfIzk6JMOBumVl/Lz6CeUk2dPq/aPUzyj5POx1W5yJ3htC +9zbJuabFstyT2j4vaHxcbbTGRe1bqPm1sRY5Wf9U4jPWxTnMrY3561u8t0l7 +lzTZLtjkCo37NT4iGc6of1d7uwo+45TaHZr7lX6fV/+LxP0FtZLmktQ+xHdt +Ze9dqfk29aO05hsaz9L8J/p9Um2Oxp+pP6H2YGrfodMf6/bdnrrluBB33lS2 +3Jx1Z8lj5Gf/O4GrcVpzodXfriv7ni80v6jJ2EK2xYE/sAdw28Lv2wIHbxaM +CWzyj5D5Y53zS/SWrz9SW5Jarv7QfVbRerGGOz+Je7EHd/29YJmQDX+he3+M +XwjcLyzYDv2hy/Ci8YS/2PdZrCcu8CffujQ3NbDD3B2BvRuKxnCHxgdqtmNW +8xnczTn9McZ+1+j37KLtjKzYC1uh96zyZZ0Yo2NPwTH2CL6ueW9f1dhsDXxe +KroHJ/huXPgvazUmwMMg3XN/s88DL91l4+13ubH4LZ39Ss1rdtVskxFFxyY9 +viBe6flNDLar/1S/x8T387GmL/U847xkniLWmD8fPq3HfKo1k4W/Lep/U3V8 +EeecP6nucbv69yRzRTLvbrJON5eNzwkNzz9X9ZmN4MPVcJHk2pD4vo/izNMt +jjd039VsfQcF51Vare9XdMZQtc2ae1xn3F20f5nj25Em8x1cM79gjuwInrw3 +9T78OrloO3LmqtRjMDa37jX3qO/Uvu+n5iswsDWwzZ1gnXEHcRgxDu74zRhe +g986C+aMjsBlV8k64XdkBXNgHv7rKnvfuJAXPcAXPRjrahgbnQ3HHNgg7vDx +4/9nhyNxJhgcUvIYnRgvin5ozD+h3+tl53Ma/1C63peaG/5d8/y/apZrQsgG +F/Ad3ijLRn/Qmlb1q5s8vlgwHt4PP+LT9yN3rAw+JTa36P5utYe0786aZe5S +f5Pah5Lh7Yq/zyx57+jgxaaIB3S/Kzc2u2MNnAWPw+GTiuYI+GGDzjug/kDi +ezfHueSCeZHLwD4xMBAjyIBdsct+9a8kPmN/nPNU1TYFL91a25T6XmIAmZAH +3IAfYn9/7ry1j77q2BqqvbtCHuwwM8bEBfsuBW/AJ+yFi+inxbgnd91wIPe+ +LXFOd4w5b4a+F1L7i31J7GXfjJg/lLsOOJi7Bpke8+h6ZWrdsdXqyL/YPg3s +UQtgQ2IHG5A/sMNR2XNWan9QX2RRY3AGe8DA6/p+qmTs3Bv5D84HQ4fCzt+u +2aa3142B6yPXwx87gkOoWdqitnm16L1van6P+t3wb+K4I1+Cn1ERh8Tgn/V9 +b/gXrMwNXcil1GrIc6zomGUvMoJDZFgDV6a2eS24DS4F77sDA+tT38H561LL +hDzIPjN83VewDMw/l1oH5H9L416t2djk+7tC/k0l67Uhahj0GhX1GDxCnE6R +/MeandsXFMz15Yh3MI08y+CC1PevDrtj84fr5oEDFcc6Y/IhdqaOpE6YVjef +vibM9LTJZplzWik1j7BvZ8n4xj5r6977am67LS5djt3FsaYl9ZlwVK3m7+Sf +zXEOesPT8DX54tnU8qPH11P7aaCWA3tw1dK6xz0V54PzUavgI3gKP/W2egxf +gc/TwVdnYgxWiYty1OfEE1gmRvoDt8XwCzr3FoyLnaHX6KprD2oQfLoxbE0O +WZq6RqImJb+CPeroJaHjB7nXnM0dL6vDf58GX8FRf1E7UbJv4fUhkR83h83A +CTZbGGeujTqYOplYuTq13w/XncvmNYyvTaFLQ7b7Zha5Lfe+G6XTqtz2f0b9 +02qDNZ6o+d/mPrNT4ydz2+KJ3BhnDThfk5tbplRtJ9ZwFw1/soY4w6/4FH7q +Do7ljHVxzrnALvJjA3IWdugLrINzaqLt8ZYBa2sGYjZ1LYJ9/lQ0nrgbTiKX +DcQE/iIesd+q8BGcNjPkQdcNYUMwviNiBP3WB39SB2RR76VRe4HDZ+vG/TLZ +Y1XdNdLvc9u/FrKNyc0hY3Pj9nTkVuqLLGqMN3LjHLzDhcQ9+fC1ivFxo74v +anZsMP96xXj6as3czDzxsq0SvKb5Ebl5dmTuepJaenvwCbGE/P3xdoEn7x6o +idT+Kbw8U3HNvE+1w080HlY258F9xNfXcvPhdeoPV+yDURp/Tzp8KVnvUv+0 +5o9lvqMUvIKcRyqOpRE111DU7NQz8HAetetW8VJv5ncD51EjES+8C8YWXVee +1/e9WjeEd5jaqorfTPM193nZb1O4l9oc36HTicx67VA/seJ34V6N/1p2jYiu +/Zn1hXPxD/XbWxVzVId07MyN72XhfzgPji1rzaXMNfTIhrnpKvVnK64LN2v9 +LblrkfHqb82dLybmrmknxXupn/dKm/NYh877TsW5AW6gLuS+ztAJ2eZGrQTX +HYza91Dd75EzUdP21IyhgzXH1PB4ayzQPbdkfoPBkYtDF2xK3Y6dyUnchz0+ +0PphWr9c+3/c7BoX++J/4q838j+xR9ylWl+vuAYlx4Nf4u6Bht9+r9ZdWyNj +Fm/l8/Fentpy+X+FFt3ZqXMeazUX9UUeJH92RQ7tj7c8fL0g5MU+p6P+4Xzi +aYBj3q4a90fVX5R8gyqu95fFdzhqnua+zPz+ww+dmX3RrvGtFdfXD0jHlzL/ +57Er8gj8y3uSd+VI6TghMxfDw/97hxadO8hFxMRAzXYu8jhYHBsxSd7CJ9R+ +74D3zPXN7pp9sKdmvH+3YswTS9iP+pP7j8TvxVG3k5sHZz6Lc/6Wu06gdjhZ +dz13qm7OaI+3yfyoiTnz17n5bbz0u6bqnPqw5q6tuo5cmvvdvDBkIN+1B4/P +qTrmX9Sa/2S2L7YdG7HNXeg8NsaPpMYatkKeGyL2t+Z+d/D+ONvm+Cf2j2fm +HTinPTijI2KlJ/Bwqs14eizyJXlzTsNvtfmxBg7vDQwsz81fK9SPzxwzYJN3 +3vOxZ35gjr3wysuZuQU+WxB825dbnw/JsVXX8z/X+GTumuGU+quqfjs8pPEh +eEznjCw7JuaHPdfF/1j8XzK8bK7CXk9mrufIK4vLfkPBKY2GdR3UcNxPDp4p +aX1fm/9/fDQ3l5HT8A0+ur9qDuD+ScFPk+PdPTwzF+Cb2RHLxPSVmnuw4vun +xv+DxDB4Hh5ykt+ob+ECOHVX/FcAPx2NPMc69MLXG6v+P258w/JMChkO587Z +1KfIgf+/iLcZOWSa9t1c910HJdN/Afqyp6Q= + "]], + PolygonBox[CompressedData[" +1:eJwtlltsVVUQhhftgZ6zzzn77IMgQikFkajITYoBIkjUtr6IcjUgAuoLQUSI +CEIEIlFBIVyEIPpgkGgbHwQRvGAAaQtBRORuC00UKDFEE0VAYwzx8v35eZjs +f9ZlZs2aWf/sXk/PGfdcSQihHkkhd8UhfFkawgaUv8DnkYXgKYxdyIewD30c ++gfoCbg3shO8jrE/wecyITRlQ6jgm0uHcCUKoRF9ZKnHtoB3MVbH3CXkC2y+ +wtw/7UN4OAmhYzGElxmvyYUwBzyDsb0ccDJjZ4XxMQZf77OnAP64EEJDuxCm +s/8TcIXGmFvNmmvgGmxMxO8Z9peDzyS2NZs1G/E9Bn0z9iexfix4e8G2tiNd +0VuwMZu5+zqEcBJ8MPbaDshL4P+IJc1Z+zA/ED8/IpmccRY/3fF5lm8rUgH+ +BZ+17XymWvRb8HcIWz8z1gW8FJtl6Eekg2dyX1X4uB/7tdiYx/6xKd/BV8w/ +iNwBPkk8NeD5zE9En4A0KTfYfLK970h39RQxvUu81dhqADfGXlvH/iL4BfaP +TznHDeh9kM+Ya2X/beDu2DjK3FX0cvA0YngIW7M45zxwFZIltmXMN2BrLndx +BL2tLIRnM45JsU3BxjfgZvZ1ipyP77FTzdiJUsek2EZho6tiZexu9JVIZ/Q3 +kQ+xvYQYjnM3c9GPo49jfXviK+JvFXM12B7BeC2+xzO2CH/bGFuHr41pn1Fn +VQwHWL84dm6/ZexmcBWyT7XC2N/g4ch+9E3o18EJd7AG/B4+C+B67J/E/mns +/Y60oZejL2HPsrTPqLNOAjfjb1/iXExFfgCvRBLOmcLeGM52Dh/XS/wGL4CH +sT+FzSEZx7Q4ce51B0vB/VmzG72N8/cDd2T9EPxXM9+Cj52sGcn3Cdb8lPOb +1tt+BDmWd8yKfTL+vgbfVPS5df6tzC9AtjH3GHKA+RHYu0R9zUQ/FfvN6O0o +h0ex36QcpF1zqj3lULnUnQ6OXUOqpS3syTA/Aaks8Rk/BacTz7VwJ9uxdyd7 +dpWao/qCH2B+B+tz3MUQzjqd8/VEP4zUMf9R5Jwr12vT5jRxm2pqTeycKreV +yPr4BkekXcNvYWs19ruUmSNWKHbOcLrMd3wQPDoxd/VF71fwHegussgy8OnI +nCeua0YS9qxF35l2DvcnfteqWdXuprxjOXuDO7qx/zzre2ecg/55294GLsd+ +S+JaEkeKK/VG9VYT1iyPvUZrxYnd9Xaw15I1x+rN9WJsR6k5/FZwRAyH2T8V +PQuuwl8h5TVaK87UPu0vcr4VkTlPXBelnSPlSpx2CHyC+csZv229iVWMnYp8 +F4ppM2celHbOlXv1iq5Zc4V6xlB8NpX6zQ0DvxY7Nr25+pw5WdysGhypWmCs +tcwcdRi8K+uepF7Ume9WfF/N+C2IA4YTT6eUa0q1pdwsjxyLciSOEdeIAw+A +exTN5eJwcfkA8Q++Z4ljua+F2ChJmYPFxfeypzoy9/Rh3x7s78V/N6QcWRC7 +8YrTxe3iAHGB7uQ8e19kvl3KnCxu1pvW2xYHrlJ/y7t2m27c1Xz1JPCjjD3P +3Gi94RLn9Hb0RuWEs47C/ueJ12it3mijalmxs2YQZxuAHGL/4yn3pCWxOUB1 +uAi9Db224LemN6K3sqjonqWanlo0x4hr1IN2sHYw9mdkfRfqaftjc0k9azqK +a3PmHvmU74ace4XuWHetXvJM1m9ZPeWd2FwvzhR3qoepl+nOeub9j6J/Fd1x +Jfpl/O9m/5US56Aica2LM6YxfzF2bOJcca96snrzBvz/UfA/jv51VDNvxP7H +0L+G3sir4AXEXBaZMzuBGwuuje+wkQPfE7lXqt+Ik/UPo38Z5awH/vdkXCOq +Df0jvZ53bxHHDWX/Me7jou4e6V9wLL9Grm3FJA4SF2nNAPC1gs8uzhJ3tUbu +UepNv6Wd67qssXKuM+qsqpGBiX3Il/6BmmPnSLlSjffSv0jevUo19jZzx/Pu +Jfqn07+d/o3+jVxL+kf6HxK3V+s= + "]]}]}, { + EdgeForm[], + GrayLevel[0.6789995946037756], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmG2QlWUZx5+N5Zw9Z8/Lcz6UzQgGJrCsC32woNLpdRS/NKNgjVOTNBEw +A6YJgjiGsiALYn2xRlk+OsAGqDW7C03AyGKyWqM1VlOm1ox9SRGqGV9gzWb6 +//b/b+jDM9d9rue6r/u6/9frc+Z++87ld3yoKIptXUUxQ/RYd1H8vFIUR0Xn +inGlnkVdpvx+TDK7mkXxgd7/sCyKeeLND3+xfj8sOtEoivfaRTGm9TXivSDZ +x2cWxW/1+7De7RWd2SmKSfF/LP5p/T6p9RtanxD9bpf13i766dL7mqV1ofMt +0V21ohjSc7CnKF7XBVbL5lG9e1C8zXpGxL9Tz0bx39H7ObG/VzoXiH+3+C2t +F4r2VWwTMvNyl0+Vtuui7nFEvJqePYUp8qz7qkWxQeu3pf9q2f2k7F8o+qz2 +fllyE8Lpk7rnv8T/knjnu70e0LkV8bdp70bxjwiTYen7s85qt41FKTou2pDM +Q3p3i2iX7rVYe28uzb8Jqt+ztN4vmROix3nYJ/07tL5bMoPxJ2dw5gN66rKv +Ivtna32gMDZzcvdF4g9U/Xt5xTKc0xtMwGaw6ns3u/z+iuhB56qKbdqec8Ds +geBcC8Zz4t9rdafP1C7heFfFOv+m9ZqKfdsqHT910a/2GIsx8V/sdmz9Rufe +1LQP9pQ+e1X2fidrbFtR8V4wfK7b8Tch/lTbcfhu2/GyITGzQ3fZruee8O6K +jS81jdMh+W1x1X7CR+QE63Vdfsa6HW/kFPiTG8Rbf8UxTqzjq0cL5xxyP9D6 +VdmxT/SJhn0Ijvju/pnWsy/5ciJ7x2fYP8TAfOFzsWoMl8vOdZL5Zel9xAE2 +4Ittifm+xANrzhnMWVsqvje5X4//8N0++WpYzyY9W6v2ETkJXZv1CHmpZ2fN +cYUecNicfZvAUnbeG/3gvCXYLqjaTzeKf3yGfTgabK+vGF/8iV+JEXRsiR5i +dUX8S0wuz5r398an2Lyy6nrB3fEHcXhj9k/HufAf1Tn1tu3BZuKNmrI59h8s +rftP8tEjeoZ69U78X9SL4lTq0hOlcaXmvd6wz58Sb7XWxyRfr7kG7a3aj7u1 +t1/vmto7INqQzOckM1/rutbXaX1cMjt7bcuj8u8p2XV5x/UGffyeL5n3eu37 +Ka0vaN1fMwYbeoxDtWO/jkvHbK0nxJslWuvY/9Skf5bOm/2iAx3Xn0dyZk3r +p0XXSu6tun9fpfXHG87pb3R81hHJn9X7cdnQU7P/xpIjZ8T7cK9tp5fg4xva +jp2R4Aw2w1X7Bbqval/tCx/8PlE6dxpt94SRxB55sTd7wfWhurEFmwV148Me +9p4WvazlWn+/6FMNx93b4i+V/BbJT0nXryKD7M8arh89nF86d0+Ld6B0Pfxa +aTu4DzZ/RHsOa+/3Raf07nuyZbVweqXt3H5ZdIPO+nzddWgNfVTrPu1f23E/ +u6h9M+rGDtyGclf6GfbR28Ck3ePYOZ66RV2gJnyh7jPQ3xJvYc09i5wmt4lh +MOLd1V2O46HoR/d1WWMTMUXNpTZSwzkHvdemnm+Uze9rfVsnuqOfs7g7OYUf +dwYfeMORQfbBrH9aumbeKnqhblw4/+ma44/Ye63pOeRk03HJ/emzm1KvOGtz +7ghviexer/e76X3S0dPrO7wperFuXMj9g4nDvycXyImPSeY+7dlS8xxCLiJD +3R3Xepn01iRzpWQ+Gx8c7XGtx9/c81ui50vXsP2yeWX8i5/Z3wz+9DMwHlbM +3CO7Ntd9DrqmEv/rZrpeHdL9n0uMEWvz02upO/Rr7tubmQcedQ/bd9Uu+XlX +7juS+Yo1s8Dh9GvO4Cxw60/9pMZxv6nY9Yem58XjTffPHZkVhpO7/5tZqO30 +rHfTfy+0Xb/BfSz9f3XkLmu7Z3+07XreF53UeWaOWek/a9IXiPVl8e/szCOc +S53+Yt1xha+a8Rd2ghH43DHDNY44ArNm9HA38KZW00PoJfQ77rU3vuAeK6uX +euLW9JrbS9v3j9JzDPNMQ/TytueYWW333x2Zma5quX7NE/136VpKTR3MPEAv +npW6/ZhwPsp9Kq5N1Nc5mXVH0+fw3VjFv/HlLemV4LwheNIXyEVykhw/2zQW +V3Qcx9QQchzdxAQ6z5buxetFv97xfPZS6dpHDRwpPSMxU2IXMzF165qO38/+ +vx69I7PWQMu9f1HLuTrdgzOPbI+PmJuZYXo61r0rM2tfZgnuQt4xE1MHjlU8 +Y1GjmdP7u1336Jm19E1im1gg7/qCFXM+eI0GQ3z5TMW9YSIxMpB5Ev5kZtIz +Fc/K3HlRZulziQFiYTIy9I+XU/9fSyxMVqyD+jJdN/R7KHdkzmyHN5AZcnru +j77J6Lw1NfPJ0t9V5zMvLhD+r8iWr7SM59x8361PjSDWOWcoeK7PLNub99uT +d+BAnHOP9YmBN0p/b0zHcMdzGrlJ3TwYP5L/A9EPrsx0jcx1fBtNBE/wHgv+ +zDf45/qObVsUHKCLs6YmLkuuomtx4o25F98zMw8mR5iByZPx5BH0aPjMKOCL +X5dq738yq5AP+5LjD5eeHZivp+f2is+hH8KnXp9MP/pr03WQevg70b0tx97N +Wv+o6Xwhb/iW4Jvi1aYxIO+w4YaO1+QieFNfpr9b2raXb25mOGpGr2T/2LA/ +f9+0TcQV89w7qZ/U0VrpOKP2EAv0D2K/L/2cvJieDbqdC9+U3inmx4775tJg +cl/L2E+KHmiZv1Lnnuu2XvY+37IPTzWM5QfZCwbnop+4JD7xO2f2h78qtZz6 +P5R6SF1E96HoX5E5n7iijyL/Jv9DpIZQS24T/5juOFv8vzTd+5jHDzf9HfJ+ +6W9Ico7/GsihM8nBycyBzIMHG679O1uOmcHEz68b3j8q+pOGe9oeyTyf+ZA5 +8Zn0Mnz3bGSQPRMetYJcWxJ8kMdfnI3tS9Jz6TPggB3gwh3RtSy9GZmtwRzs +qQ0ngi33ejHfvPSfF3Lu0rbx3y08/gu2g0bO + "]], + PolygonBox[CompressedData[" +1:eJwllVtsVVUQhhf0wjl773P23g8aHgTl1kKh+iCx8ZJ6C/BkQo0+SgnamDSh +gCiXiMRExXJ5oNUg+EhoGwuFBEoTiaFtQgqaqKkaCVCM8kKBYkwgtMdL4vfn +f1jZ/6yZ+WfWWjOzF2zY9GrH7BBCB6ua9X4SQlccwtlCCDuKITyIQqiwGsBL +WY+kIXyP4Q/YfoftJ+UQDoEHq0LYA/4dm1v4L+NbhuMe3zrsnuNbj/w8XIuR +n0XeWhvCk3kIL+M7TBKHSiGMwj8E/344R8DbsD8I3yC+M3PIKSM3/I7j8y3x +Mmy+qXYOvfDOh68D3Qh888DbsT+DfT97F7Ffjs2jsc92jv1hfYnRB38vawn6 +ryPjd9H/gX4Fe818U/bO4nsbfQH5PDGS2Jziks0rxLhKrClyeorcotic4tId +HFEO6Np1RnLbh3yM3M/hsx/cwh00oBuoCeFh9K3ITeJiHUM/DV9dZH+9ySTy +dOS3WcbeEPJ5cJEVse5Ezlm5am9V7rvWHa0GDxCjgdwOk8MJ8FxyvgjPCPIl +vS++i1kfF31H3eQzC/waPm3Yr4Pjb+QxbN4EX8bn8Vm2WYH8GHIR3TPIW/BZ +A94e+S3rCj6TzjbEedfB3Y7PDDYV7N8QNzG2YNcI569w9SHPr3WMXvAk6y3k +HvK9Cb7FujHbe7fB8zJzd6K/Af8XJdfGX+ytzL0n3WlyiDn7VmK/ELk2NxE3 +wf8otqPYxOA7qifw2+inwMP4tNf4zevh+o1VB95IftfBXdjs4ax71Vuc9Zpy +CLaZAE/j/3mNOR+Al5TdS6qJC5x3lHUguCeegCtKnatiKnZN7rf7kHxqwWux +ScCrWBvAu8vulX3YfADuJOZd/Cfxb0bfWHbtnUY/RqyRxL2nHlOviUNc/+Lz +Kb5XiHkE/W6dGfxS5rsUZxPycOJY6jn13ljZZ1dOLcj3UsdSjd0HFzLXmmZK +ERxzhoh8PsI+yd1D6iX1xGH1Sua3Vg30gE9mvmvV8Cnwenw2q3d5x/fAJfZ+ +DH7DcuaeUm+pB9dynl1lzwa9kd5qnPU6/meokS70hdx3q5zm5J5FndRHqeCZ +tDfyzNOs095X+NzH9x3wP3At4j4WsJ4ueuYVYveEekF7M5nrTD7yVUzF1hkq +6GYi97h6WzP1eMncO/HfnHkJq0f60Q3GnlmaVZpR6lH1qs70Gfo/M9eueuQu +eEfkGa3ZXOEOduXuAeXUCv4Jn4VVrtlx8EPo2hLPFs3tFyPftfLdpv7mvf6r +9szq4W4nUtfKl/hf0zzM/baqoaJ6PXVvqQcq4J9L7nXF/KXk2dOdmFszSDWr +2tXMT1P/q5pi565/1urUtaoclMvCxDNHs0Yz6H/1We9J + "]], + + PolygonBox[{{4291, 1130, 2599, 3064, 4458}, {4451, 3014, + 2563, 835, 4292}}]}]}, { + EdgeForm[], + GrayLevel[0.7695328738842788], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNV1tsVFUUPTPT6dw7M7dzLwg1Maadyoc1JoCgomhCAhQoT0VNABPBgAKJ +5RGNkfKQUBqCsT6g1S8IlIdWWiKg/CofKhRU0Gh00EofFAv6oUH7UHStrN3A +x805d9999tmPtdc5N//smsdr4s65qphzCYwn8DLkOTcK45LQuWVFzn1V4tw7 +eP8TOl9D5wjmfZifwDyP78uLJJ+dc+4cvu0NnOvyndueda4M40bYG0o6l8UG +R2FzEt7bMA7Axj8p50ZgLOBpx9rDsJPBt2bqY/wLNhsx/xtjBXRHQ2csdIsx +1mHM4XkV3zfHZWME1gxi3AOf9+IphXwR/JkZOfcUfJmBcW6x5OOgV1OkGE9h +34Inndkx+boJOmswv5zGXlnlpQw+DOKJIF8RKl9vw34PbF7Gcwh2LmH8xebb +Y3rnnP5TTvvvY00t9uiHjQWwO9lTbCsw9mDswpPLODce+06FT3czh7Zvh9ln +Hjh2mP06+8acdMPnbVg74KkG9J2+0vYET7lfG5PfjLHO5rRzHr7Nh28XAtm/ +ZD7/hPcnIf85kC+zYvJnADGshvwtyP/A04Y93sD4I2q2BbX5Iadccs4adXrC +QB6yezDOhn9zsMe3WLMAdr4JlI/5kOexT01MuozrIr49AZ0CxvIiYZK1q4IP +VZCfgryQEyYuYhwKlWfmm3s0wmZ1TGOTLwzwfTfmIcbb4vJhlskaTWccbKWI +PY4pfaM8A92tCeWwkNBa2vAj4T6NsQQ+HIA/Qag+4px+L0kJf/R/rNlfGGjP +3ebnjoRyzhx8YTVkb1ZDfx3k16A/CPlJ69luPC8nFAt7kTrsK/ZTg/Xwtphy +SJuUNSXVz6Xwbzrknwbqr2kJ4SKFGGph38N4Ni4d9in9rYgLR6fxfRp8LkdM +AznZ7M9JNtXknxk2hjFCHiGH0HfyADFZbzHQ/xas229r++Dbc9D7NVRvEMfk +jcX4tiglWx5GPyWbfWaL8wnwo4/cEgh/5Ir3IO9MqhasycPol1L0y7xi2bhq +a2946lvin7GOSSlexrTLk2/U5RryDvPNHDHnfKdPxEmzYZn6xDXzlTc+48he +Jq488599V2FyxpEyOfPWZ7kjX7E3yTHs8+txYY8cssp4pJBUPmnju6wwOhiq +Py6klAtyM3uTPcr4H/PEj5UYzxs/E9+bjJ93BcIh+Y/9y74iVrnX895NDLJe +rFU34r0de7d7skVd1vdKoNzNAE9fC7X2aijuIUbZgx97ionzjqRwNYxjjuwd +9grzQ5vkgHNW34OhuO5AqLqRn1k75maC5Yf9xz5sjQtLnNMmdXuND4nNSvM9 +ZXhnHnqN89fFdCaQo8mHtEssU5/xtRmWhvc4YvUjbolT9jBxMzen/RebP+Q8 +8iR78Yync4u5brC19JN4SRnGFtlaysnF5OTzoXBK/3h2Ma81xtusLevHeryJ ++tyZEVd2Ip8v4D3vK9Y1Fi9j7bEc3gHd9Vnt0eUpF8wDbbyYlR3yCLlieqi1 +rME6w3m99Tj75KzhihxDLiWnHsfex/DswxP5Wsv+o8/VltuZOa2dlZNeh52J +5EvmjnF+6Gvk2dFlnDHMje2GE2K1y/zhnlxD/fqEsEjs1UL2uq+zdHmkM/tc +qLjZf8RJi3FCmZ2N2yzPxGq53ZF45rCOrNfOhHiYeuSeyWn1H+OoM5tZ7LUJ +NjMYt2DtZl914Z2l3M6OKK16sBa0Pc/uN01Z3cPoM3uPcn5vsnONWKKNvPnG +3HMv3n3WhuKTD1DD3VlhgvtOs/rQv3fxLYDsfvh2CPORmD+K+ZehOGRVpDPp +pN03iM8Guzs+BH83ptVbVYHi4X2T9wr2PPM3CTqvpIVd4r/demC9r3f6v6tE +/s8IxIut1lsHk5IzvpWeakxemujpHB11Cz5YI3LwaeNzysrsrjXRdAfsflRn +/VBq/M463oU4u6E3JtKdqystPiY22BvERxti6YS831POCt7NuyHnPF968P1o +Rud5nd0tuBfrkrU5z4QbdlfknbQ3rbsdMd9pd6qzkLWnlaPDlpfPMS73tZZ7 +7QnUO+wh2h4y/mcc9Jl9ynt3vdWLNek3LqaN/8yHdrt3s4/YpyN8rSVONniK +oTKS/muBbBbMbkOgek1B3Ysj6ScxPoPHwf+Nkfo+MpsjjQsq7D7TYWfBSuRh +dEb3SNqizfsQ1yOR/DmIffbi+5m0atwSCNvE+E7Ly4JINSPG+a3W+obn3NJA +e46HzSnQK4X8o0B54ny7nY0F48nJt5ztc+yfiP9GvMscN05bBl8+8cVn+4zr +csY/xw1/+02XnMbY1lvP0nazyelrwe6ch0Lh9XCotc12d6rFXhvS6i1yyz7b +i3zGOFcbz+00LiKGiu2+nTfOuW734nrjQ9pvMT+bYHthRnGT/1ps3xrI/vXF +BU+HOmu3Bopvv60l/+2wu6hv9x/21UvIcwx2l0ban9zHM+W3UP38e6g+PWZ2 +ms0mc8L7BM/dqhLtx30fsLttys6a6kD78H/x3kic8D1wdATvD2Leav++5BFy +yDBvMv+9oe5YV0yXWGe+mIPGtPLwP5U8/CA= + "]], + PolygonBox[CompressedData[" +1:eJwtlUlsVXUUxv/l2b777nv3vXud6o5UjQHiQqhopZiYCGVSqVoJoolgigwq +BiRhKIImYgxGJVSIK7qwhQgWXFRMjAtXikA1ReP0qsZSBotDjEFo6/T78rE4 +yXfumc//nHMbHn/mgTUTQggboSugr0shHI1CuBXal4bQD7WCr0VpcRLCQegC +eGshhEeyEHbHIazBZiF8M3qL0B+tCaER3JNa1lUM4dPIOrXYbAbPyoVwAFkz +fMb3q6B9+N6Mv37wEXTG8yFcj/wUeBi6ATy1wjfi56FbwJvwcQKbY8jXYXeY +WLug9+HHIsdQrNvB75DPYqgO2yb4w+Dj2A5jdzyyjzZs98SuRXV3p65lFfQ7 +eD1Uwt9z8CXyKcG/VRvCn9Qcg09Sw0LkL0EfgG/MnPta5H/A/wA9hOxl6EPw +2+S3I2ebAfhBanoef1X0vwEP4HM1sg5yXJK5N4fI8VLkHv2GfKX6Q01Pga/D +3wzyv6/ONX2Lj234G4cOItuAbRM0Rm871RO+ncxfjonug4l7O5uY9alzUC7y +8R14CN+92F89wTl0od8PbkG/Bf3X4Q/Bn4fOgafhv4L+3eQ9S7mn7v0Q9BOy +2zQjDF4v+q8lfrs7oL/zfkPFGibmaOSYk+jBv+B2fO1Af+rlmlSLYpxF9134 +a9Ad59udmWdLM7MU/YnwVb4nfHsT/hzxl8OfQv4k+FmomPOM1qG7P/UuaKY1 +29uJdya274n4uJeerM25B/eAe/B5ZcEzrdk+FrsHql078Ary/yLXoFoq+Oyh +t8voQUviHdOuSWcy8m74DTm/8a+p31BvuQW+kHmmNFuKOTNz7adjz756cIGc +RpDvwWYU3Kx9Ref+yDOimlX7E/Aj4D78vaB5g89nnmnNdjf2ZfA8bJfhY4D3 +mYzOe+jXF7yj2tUqfFvOM63ZfhG+ndoaoM4yOtjv5HsH8m3Yrcqcyz/greDe +1LuqHdWu3qR9LLnXryoOsd+Abyh4JtaVrCOZ9iTKnLveUG8ZZ+6Vdla7uxS+ +RvljsxycpK5tCGoCf0G+rehWoa/wXcy86+qJejM79W6cIL+98GfQ2V7jHtyF +7qWKe/0jND31DdAtkM8vwXOJ2xH7tk3C70X0d9f6jfRW6zPfIN2edvC0indj +BGoE78R2JTEXEG9K5BiKpRtUTH0jdCv60O8k3gr4QfwF7B7LfCN0K1Zg+wv4 +fGpcxb4R3FL27o6Rz3zNYtE3VrdVMXUDdQu1M2fBuxLH0j/jZvxPz7xb6ol6 +s7dsX/XodJW989p93cDvE8dUbPXgL+qbV3FvtVPzwU+XPDOaFb35nMSzpJ3R +7vycena1I9qVOcRfVPCOa9c/Krhn6pVm9pPEvdSN+hj8edm7pxv0KL42xX4j +vY1uZGvmW7NA9SQmYcWYm/kfqH+h5nkc+y2xd0S7oRs2lnqW9M88gO3DiXuh +mf8s9T9A/wLtzCD4f6ImCow= + "]], + + PolygonBox[{{4453, 3025, 2577, 874, 4345}, {4344, 891, + 3188, 3036, 4455}}]}]}, { + EdgeForm[], + GrayLevel[0.8600661531647823], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNV1tsVFUUPTPtdIbb3pm5AqXih7H4IQESpkZplCb+WEqBiEUTaCtRNKT1 +QxMLoQ98G4zUyAeojUYKidNoID4SQfxsSdAfwAI1RH9IKH38GFESE6XVtViL +6MfNObPvvnuvs/brzD07Xmx7IR1CWJIKoQJrbRLCm7kQurCmMyHMVoWQwjpT +pf3bqf9+n4T+mTiE9fjwe6xXIP+V7ypDuIT3E3juhP5UTQjbofMAbL5WlLw1 +H8IQvhmF87sh31iAf3y7CetXkO+FjSnoXMe+F9/eC52tsHOwOoTvgG8NZPth +exwYStgvxnM6aK3FU5fSfpHl87A3Dr/7iAc2d0K+GTZnIf8TfhdBvhHPLPDU +Yh3IhtAJ/U0prU/hGcO7xgr5pt1deNcB+QnYn8a7GTwLIevyt3y3Fb6ehe5Z +nLs9JzvkpBO/S9ifxxlX48xTwFHC2oRvV0N+IC1eiYfYmqF/AziHY70vWWcF +bG7BU04rXtRhjOin075OZsXZCayDWNusP4VnDrLF0Pk2IwzEfxF+z1SIhwY8 +05XC8A6eDzOK+7Gs7N2EjaM5+aCMsZ+1/jWsk7ZJ29e8ZxwYD/LWk9L+JawX +qqSzz7J/LGfepX2uvqxs8ttW8BUgX1/QmU7hGQGetVlhZtyvOB/J1TLEO8a5 +6rF2Z5Wj5GcCsotVimcJuoUqnZ84LzhnJp0/9Hsjpfgz9+hn5n/npT51GaO6 +KuneXxAnDVhXRjhLjXywJoiH/A9lxC05JjbmEDHRD+3wLI3Oc+b2HxnxQ2y0 +9W5OmLnu8/5r+NqLehnC70JRWNbFercyp/h+Cp1m4NmN3+3Yb6tRLO8qys8F +/B6JldsPg7c26LTXKOYbsF+H/aGsOCR/7COMKffkqs5noG/WGXOaXB1C3tcD +/1GsE7C/FLKrseLe429Px6rx9/PKU+Y6uVpalJ+/C9Ilb/zNXrLdfLInNFTI +7iOJ5OxDzO3PM+KAfYzfM8fmCuJ+GjoT8LUqp36wBWd8DLLjWfUh8sBaZw9o +dCwex/s3wPORnHLgi4ziwvOtsQ4xDhnnXFrYWDuL3E/G3bsa3VtY04Ou0yVF +2dwSyw4xswbzwHa2Wv3l3AI81aoB4mDM92SFlXVOTpgv884Z9oeOnHraL0Xt +P45VazPu+cRXcv9kfnAuEDttJ7bPXFvpfCtifT4nf+wNu62/DDivA1sDfJ8H +zgrwdRXvX0Fcfoe8G2sOOi3kEd/0V4qfWzylhIMYmH/kvxyrbqZ9LtbcuOtu +OKfcZC+iLebmmHsze9xCz4WSc4M46Yc+GOMjPtcx9zb655mYfzxXKaWVdlpj +5VNzXrJpy+/ICQdtbMirNlqw7kyEaXGiWLB3MffYm3e7P9e7R52IlYfMQdbp +qVhz7adYtdXjWtsfq+fdl0iXeFlf5Ls+Eud/FZR78wXZ7jV3axPtOWP5Pe0M +Yv8ZvuuoVmxbEs1KzsynY3HYlKg+LhtfGetIVrOS82qjMbDW+zzDerPilTrs +5SmffYVz/FYPTKtPsBaaY+3Zt3gG5gt7c9l2GAf2b/ZI8tuF55JnFv11eU/Z +Re95v0jbL3teORLvrKFCpDpq8wwp+17CnrIu0e9R4+RZjhvHwbxwvxVrFpB/ +5upMLAwHYt0l+rO6D7zne9KDONeRvHoDe22n7xe3+AG2VZH6+pPANhypH7Q4 +l9ZjPWdetsFeJfSfqVbvr/WMWOo8ZA4S03Be/B3Oq3ZZq+SQvNIP36Vg55NI +HCxPxAfvLyc964/5zIm/ZW31ur4aXFOsGc7osmPEmuTKumC+EBPx9DlmjBXn +57Rn9B5/Sx4YB+Ze2euo48J+yd7K2dDv3OvzvOzwHP/A84Vz5qbzn3VwONI5 +ecbDseboo+DyB9cX6+whcPlypJrnfGuNdNYf0bs24/ck9uM1qj/OomvwMQBf +X8bK/cvmfDl7c6Tf7GnUYVyIs8v5MOlc6vWdkXLeST6KdV/8uag87/b5OJ+3 +RYoJOe+3TdoiF5ybnAGMHfmjvW7bfB14vonUmwax7o+UB7xr0w77IHs5+w7r +ZQfejy7Qb2IbMGbe8Wd97+FsfCLSGZ5DzpyHj12J7rG8h3H+/1atvn/VMr5j +rJkbfc6TEcedv3v8H4MzjrOauXl7vtzuwSOuKebJqzWKzaRlA5bTN/2xHsfc +gzb5PrvWGBjXSfPPO1uTMfcbC/n8FxjutL4= + "]], + PolygonBox[CompressedData[" +1:eJwllE1IVWEQhiev1vVcz733BGm1y9pESlnUIhLa5M+1wLQgtcIKRFoUBNGf +YRoYadTCCivShLSCsIJ+l7aoVkaZEbUJUjGIiBJalNXzNouBmfPOvN98M+93 +Fu3eX7Mvy8y2YdnYg9AsjJntxNZHZg0JswxWFDfrwPYEZhO5ZnPx380xK0mZ +TVL4KMeskdrlxBPZ/m0Ffh352/LMnpD/kPxOxfDtJU5jx4mn4VuGPwNeRU0W +XDFsI/6mlPsHZpl9gX8Am6Lhw/S3jv6Gqa2Cr5j6MepXkv+Zs79Ssz5tNkT+ +DPknwfPJb+bbjtlm9cSXwcqSZqNwvcHK8WP0WkRPKXI+wdeH3wh/F/m12H3i +Gqwfvy/uZ+isj9hZ+MbhOMr5Ldhd4pfEJXCtwBrSPru2hNdqhm3knMvynO3g +XcSDxHvoZ2nks9ma8LM1o+fglWA/Oe8Gfql6C3yWEVYa+S40o0HwX8yjgNn1 +8O13yme/NuGz1g5ec9/54PlwviC/JeGc4urByjVjuJrAK/B3gd0MXAtnhFMz +LX5yurnrFrDNcF4Du80Zf1J+9mlyZvAz4K3g42Dn5/gddBftbBX4FeKGuO9I +u3pKfIraaXLK0r6LXu0g7jv5Dn4k5jN5FrpWdweuBWn2E98WUn8M/gn6m0z6 +bqQJaUM70W50hzLiO6HnaofaZTd81+E7GHcN14IP5bjGpfW51N/KcQ1lQtfi +0oS/DWnyAhydcBeSfxH/beizVk9j+GvSrh1p4L8WsOaY30l3q+QMA/9LfQV+ +JRxjMd/pK+ZYHflupJlO8jfA94P8DvDh0N+M3o44MtRf5S4jaOpx3GfYK31m ++x10l0LwbwnX/kq+FxNn5/mu9SZGwJKB61MczZG/rVy+HcevJ7c+8LeuN7I6 +8n+JNNRDL4eI4+DtYE2R30l3U8+94H2h71r/AP0LRuFboFlx9gn6yyTdf4O1 +pv3N6u1qZlPUzouc+ynnXSLuT/rspfFr+O/T/vbFKW7NSLPSTgvA6kK/t2bS +R34FOVWBa1W81cS1gWtbGm5nHvcCfyvSvHpSb9pRFfVLIv9X6Z+6OPKe1Js0 +/oHcgcBnpxlKY/8A0ku+MA== + "]], + + PolygonBox[{{4457, 3058, 2595, 1074, 4302}, {4301, 867, + 2575, 3023, 4452}}]}]}, { + EdgeForm[], + GrayLevel[1.], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJw1VDtMFFEUfcuy7M7szDBEPppoopFOlkSwFej4aEywNsEYo1gsGytj4q8w +0WKxMRpBC22Uyl+p8YuFrRiWzwKFsEagQoKNSjzHc7d4eW/u3HfvOefe+/ad +KhwfqXHO3cZKYlXSzu3IONeZcO58rXMzMHpw6Ia9C2sKPrk659rqZC/h/07s +GfPpwTqEu1sJfdP/FeKt2v29WecuBc5d9PAfe4zvXpynQ+cGEauE/Sf8h2Bb +wL6EtYa1jfgP4DvpO/ce37tqlIt53tGG9Qb20bTyEkMRtsOB+LzG+QbuT2SE +g3jmgW0U/2d95VnC9xrsc068XqTEbRH/CviexPkK9lZPeH5hvxXoe8ZXLMYZ +juV7H1w6oeHLlPAy57rlJdebwHgMK4/7/bAfqJPm5M/71IBn6sx/fWnV5QNy +3QOXt/i3gbVpPk9gK/uy0ZcxWRdy6LNzCf+LgbSlfT2hmM9DcVqJnDsLnzbE ++mFasCc+mTZVG3EtGM4TwLmaEZ+hpOrFM1d7RhyZc9rXnYInjOyhHqsX69gI +20FPXIm9zzTZD00ep+QzFqoWTQ24X6s6kdfVWL06EAnPmvVOxTQj/qeh6vcd +Ph2ecBADe6LdMDNv3uzEMmJ4qNVYSnrR1mF21mjTtMhBs2FfdeaMzBi2a7Hq ++jWQbjyzXnmLw1zsC/b1N+AcR56TSeVi3EXTuTcpDThTxbTmir1MfcvW84yX +N2zMx1zzsbSljVow34b1DHmXLcbfeuXexr4CLrt96cW8rAFzs87UtzqXPFM3 +1pE9TgybNr+Mz94fSOrfw0jz8Aj73Ugx70SqM/UlNr4L5EV+s8DQ4qve7HX2 +H2eUulAf1pT1Ih/q3GT3/s9+Wm8Bz5y1IZs35li3fiCXCav751A4pwLxoj/n +odW4VmeD+7NQfOhP3fjGjPp6Z2i7bnZ+N9pbWo7Fg/3LvsjZ+0nsOcNPbRiX +Op9Bf8+D/wXsWcQ/7atONbAlsqpzt3FkD3z05Ecf6sA3lRoEsLmserm5QfXk +HIyH6im+VV32JrGvKpG4LxtOzhix8S0cs/ewBfHOIe5RxPxTL/tv7F8CzWN/ +pHnttJ6pYmItyI/a8HwZeCqcmQbxKBqXI5Fyc6a3kGMuqxmgroOmLeeFs0Lc +fJMq9i4tZ/Uus27NvnqIuu/x1dPk/w9y+O7C + "]], + PolygonBox[CompressedData[" +1:eJwtkrtPVGEQxQdWwt17794lETURCwmWaKJYawmijf4DEGOiFRsLSUyMsTCx +QSuUl4VYiJ2Pymg0yDa2krCoqxQQQKEyxsYH8XdyLCZ35pvznTnfudN9vnZu +pDUijhO7iFtZxBniSBLxmOglf1+OWG+P+ErU04gZzlbBztPf3xHxrC2iUQKX +R6xVIobIzxJL5F30n9Pvg/xBEbEI1/3Md7fh2+TOMNhpMH+rEbfh3wDTSX83 +MQ72MPEN7EvqT/BdhquO6Gn4f3FnuyViivt/yO/AtwzHCthD8NxlZg/4fmbU +wY/Sn4PvO/0a/ZbMZ8qPlT07pz76X8NsYe2P4B8nn5Q3xBZ63tBfYtZPsF/I +PxMfqB9Kb2INyl+l9lJn8nYBfLPdHl9K7Ym80BubwoL5kVij8kZqbp294A03 +ecsg8Y58A03XyXfw4yn1Yu6ePJf30izt8uAe+e+qvdI/078b5Gy5ZE9vUF/L +7bm8voquC8ze5LsnseZThf91L/gB8gB7hTsjZXvWQX2CegxsP/VH6r1w1Er2 +6EnFWrUj64V3aZ92ruydkrcXU++aPNbujaXeBe2gZmq2NJ8uPOtgZq2aOVPx +bmhek/cc4O5a5l2QT9LamvlfS/NO1bunHdIu6a0nc2vXmxsV77I8l/fz8E1w +fwWtrxPnb1Pvgs7+Abt2gYU= + "]], + + PolygonBox[{{4456, 3045, 2589, 894, 4374}, {4373, 879, + 2583, 3034, 4454}}]}]}}, {{}, {}, + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3303, 4093, 4094, 4090, 4092, 4091, 4122, 3281, + 3657, 3656, 3659, 4223, 3658, 4224, 3283, 4314, 3482, + 4200, 3483, 4315, 3481, 4373, 4454, 4471}], + + LineBox[{3523, 3733, 3734, 3732, 3745, 3744, 4123, 3282, + 3528, 3512, 3542, 3541, 3555, 3813, 3503, 3812, 3504, + 3814, 3502, 4374, 4456, 4477}]}, "0.8999999999999999`"], + Annotation[#, 0.8999999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3460, 3731, 3399, 4111, 3398, 4187, 3791, 4188, + 3457, 4150, 3470, 4160, 3890, 3891, 3495, 3527, 3526, + 3570, 3471, 3560, 3655, 3654, 3402, 4114, 3742, 3743, + 3417, 4302, 4457, 4478}], + + LineBox[{3522, 4166, 3487, 3915, 3916, 3917, 3564, 3914, + 3913, 3912, 3486, 4165, 3521, 4119, 3411, 3887, 3888, + 3889, 3424, 4413, 3494, 4411, 3493, 4412, 3569, 4388, + 4387, 4386, 3509, 4416, 3302, 4405, 3480, 4383, 4423, + 4424, 3558, 4432, 3466, 4392, 3467, 4393, 3416, 4301, + 4452, 4468}]}, "0.8099999999999999`"], + Annotation[#, 0.8099999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3244, 4059, 4060, 4056, 4058, 4057, 3243, 4361, + 4362, 4212, 4364, 4363, 3508, 4359, 4360, 4211, 4358, + 4357, 3242, 4268, 4269, 4184, 4271, 4270, 3297, 3549, + 3550, 3516, 3548, 3547, 3241, 3537, 3538, 3514, 3540, + 3539, 3286, 4346, 3498, 4208, 3499, 4443, 4347, 3497, + 4344, 4455, 4447, 4476}], + + LineBox[{4152, 4109, 4110, 4106, 4108, 4107, 4149, 4088, + 4089, 4085, 4087, 4086, 4147, 4331, 4332, 4204, 4334, + 4333, 3492, 4329, 4330, 4203, 4328, 4327, 4335, 4260, + 4261, 4182, 4263, 4262, 3287, 4396, 3474, 4197, 3475, + 4442, 4305, 3473, 4345, 4453, 4448, 4469}]}, "0.72`"], + Annotation[#, 0.72, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3250, 3274, 3868, 3867, 4105, 4104, 3248, 3272, + 3864, 3863, 4084, 4083, 3246, 3270, 3629, 3628, 3723, + 3722, 3240, 3268, 3621, 3620, 3718, 3717, 3238, 3856, + 3855, 4158, 3464, 3895, 4162, 4404, 3479, 4380, 4381, + 4382, 3562, 4422, 4421, 4379, 3478, 4403, 3520, 4292, + 4451, 4446, 4467}], + + LineBox[{4278, 3265, 4143, 3852, 4033, 4032, 4142, 3264, + 4216, 3785, 3607, 3710, 3709, 3784, 3263, 4215, 3783, + 3606, 3708, 4241, 3707, 3782, 4177, 4176, 4194, 3463, + 4237, 3910, 3911, 3749, 3423, 3748, 3422, 4125, 3554, + 3851, 3850, 4031, 3367, 3661, 3894, 3736, 3409, 4118, + 3408, 4234, 3737, 4235, 3410, 4291, 4458, 4445, 4473}]}, + "0.63`"], Annotation[#, 0.63, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3446, 3780, 4239, 3779, 3602, 3361, 3704, 3445, + 3778, 3777, 3601, 3360, 3703, 3444, 3776, 3775, 3600, + 3359, 3702, 3443, 3774, 3773, 3599, 3358, 3701, 3442, + 4289, 4290, 4193, 4288, 4287, 4317, 3296, 4255, 4180, + 4276, 4275, 3301, 4018, 4019, 4015, 4017, 4016, 4121, + 3278, 3652, 3651, 3653, 4220, 4222, 4221, 3280, 4310, + 4311, 4199, 4313, 4312, 3477, 4369, 4370, 4463}], + + LineBox[{3835, 3641, 3640, 3639, 3397, 3730, 3833, 3635, + 3634, 3633, 3391, 3726, 3831, 3627, 3626, 3625, 3385, + 3721, 3829, 3619, 3618, 3617, 3379, 3716, 3827, 3613, + 3612, 3611, 3373, 3713, 3795, 4156, 4157, 3794, 3799, + 3798, 3885, 3279, 3886, 3884, 4173, 4172, 3511, 3536, + 3535, 3553, 3808, 3809, 3807, 3811, 3810, 3501, 4371, + 4372, 4470}]}, "0.54`"], + Annotation[#, 0.54, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3459, 3729, 3396, 4103, 3395, 4230, 3790, 3456, + 3725, 3390, 4082, 3389, 4228, 3788, 3454, 3720, 3384, + 4071, 3383, 4227, 3787, 3452, 3715, 3378, 4055, 3377, + 4226, 3786, 3450, 3712, 3372, 4044, 3371, 4225, 3781, + 3448, 3706, 3366, 4030, 3365, 4185, 3772, 4186, 3441, + 4140, 3468, 4159, 3882, 3883, 3491, 3525, 3524, 3568, + 3469, 3559, 3650, 3649, 3401, 4113, 3740, 3741, 3415, + 4299, 4300, 4474}], + LineBox[CompressedData[" +1:eJwVzTtOQmEQgNGxFxDlolJJoWgpBaKFTyyRxMKOhsQ3XECXYqtrsdYVmFDQ +YAXKFjwWJ9/M3D+55U7/Ml2IiCbzbMQzpUzEUNf1SX8ZsGZPdVX7+kOPov1R +E+3qjAcK9jtd0Xudcsuy/Vrz+rIUcWP+omF+czvLmTlnaj/VE455/f/u3bsm +2tKK+zY7tO37+YgDatTZY+4+Xowomzc44pCJ265WKdFg5Pbt/YW5xSYVtrhy +//DfT3r2P4sLJEM= + "]]}, "0.44999999999999996`"], + Annotation[#, 0.44999999999999996`, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwVzc0ywlEYB+A3LDNxCS6ojY19ezVsbUkkVL4qlF0fy1bGJSgrM9Gia2CG +rMLzXzzzO+d3znvORq6wmU9FRJaHdEQnI7mjzT0dfUveckOTRnKuv5LX1Lnk +IpnRV2WNU845S97Un8gKR5Q5Tt7VH8oS+xQ5oKVPrUcssbsWsSKXGa5G/NmH +9Y78ZUHT/a7sscWAPjP9u5kpT7wxoaF/liMeeWHMq/7L3DcFfpjTdfYhP9lm +z///cvE2IA== + "]], + + LineBox[{4151, 4101, 4102, 4098, 4100, 4099, 4148, 4080, + 4081, 4077, 4079, 4078, 4146, 4069, 4070, 4066, 4068, + 4067, 4145, 4053, 4054, 4050, 4052, 4051, 4144, 4042, + 4043, 4039, 4041, 4040, 4141, 4028, 4029, 4025, 4027, + 4026, 4139, 4013, 4014, 4010, 4012, 4011, 4138, 4322, + 4323, 4202, 4325, 4324, 3490, 4320, 4321, 4201, 4319, + 4318, 4326, 4256, 4257, 4181, 4259, 4258, 3285, 4394, + 4395, 4196, 4304, 4303, 3472, 4338, 4444, 4339, 4206, + 4464}]}, "0.36`"], Annotation[#, 0.36, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwNzz1OAlEYhtGPRFBRQAR/sHMBKo0VlbG2cQMiWOMu3ILWghELQ6wwQaaQ +oKHTEispiSzCU5zMe5+ZW8x+4/q8lYqIM17WIybsFSIqpDZEeton29oWC/54 +1saU7RIzfnnURmzaRb754kF7J2/n+GBMR0tYtVd4pU9bG7JsZ3iiy732xlo+ +IssVTe60ARk7zSV1brW0e0vU/M9NLuLYPrGPihFVdqnw49u591PPU+cdDjkg +0YfuJFzQ0v4BTnwnwg== + "]], + LineBox[CompressedData[" +1:eJwVzjtOglEUReGDFjb4IKEkKuKzt8YJoCTaiRLjADQ+QFQsDZhY2NnLEBRE +cDAMBNDvL1bW2fvc3Hvz55eHF6mIOEJ3KWKQjtjh2cWIJzSxLf/ot3hGfsQD +NuW+foNT8j0aWJe/9QUO+Q51rMk9fZ7/FiJqulusyl39Ck/1N7prLMtf+joP +9dP5iFM+wQCfdrXkb+aJXYXf5GPuo2w+wBme7V+56N49dJJ7dB9c4ZzdiCfy +GFfOzMkl8675nfflrHMlbvEL2skb8pB/UUUjE/EPMgEsKw== + "]]}, "0.27`"], Annotation[#, 0.27, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwNzzk2Q2EcxuF/UErQaW0EW0hiLNIEieQajhJ7UKVWmqeECLbgaIKOyhbM +gjzFc97f/b57knNHiqu5lVREFEjSEa1MxNZgxKXteO5jVldt017wo3uZ0RV7 +bht86x6m9aKt2zO+dIopXban9oRPHUzqkj22R3zo//6ICb2gD+0B7/rPeV7P +6327x5v+dZ7Tc3rX7vCqO86zuqivfdcNBa5o8cSzd7ZtngZ1XpwtDUQsUyGh +yrC7W3djfnOUcdadbbLBnbu2vafEIw/U/H96KCJDzXNi1+gCuow7tg== + "]], + LineBox[CompressedData[" +1:eJwVzzsvg2EYBuCnSBzSkyApiVNSrXTQDkgqJiObxVZJZ2GxmEgXi8EPMfc/ +kA4kLI4rJhWRRiRc33DlfnO/751833zzYHs/FRE7/GQjVllhmY1MxLnsUaPK +Euv6M/nNImVKyVZ/Kr+YY5aZZKtvyU+mmKRARX8su0wwzhhF/ZH8IEuGNNP6 +Q/nOMEMMktc35RsD9NOX7PS78pUUwZ9uhIbzDfV8xBrXznfcspCL6KT9kyyy +5X6Ttt0Vl7zw4O0j9zzzxIU+N+qb+LXZkyf8A5DZKeU= + "]]}, "0.18`"], Annotation[#, 0.18, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwV0D0vg1EYBuDHQDTo284MqgsLC0tLwlSzxGRSK+/bTUQoFXN3Ft/+AH4A +EpYyd8CKwV/gMty5zn1OTs5HqZ4tpT0RsSKtoYh2PmKBv0nEPA8LER1zTeNv +c1V+ssIv7vCDM3zjNN+5zVdOscNJvnCLj5zgPcf5wE3escwbjvGWDV5zhJcc +5hUzXjDhGfM8Z8oDDnKfA2xxg3vMcZf9bHKdDfYxZS8zrrLm7acc1Uv/d5If +veo/KtKVE32OZWuzXNQL9h0ZH8uy/qQ/y5rUi86VP42bMAo= + "]], + LineBox[CompressedData[" +1:eJwVz7kuRFEABuCjt0aNeAtrQWUMZtxZzIx9rIWQeAutxM47oFfyDAqVSKxj +3zW+W/z57v/n5p5zW8sr0XJVCGFJrmtDSMtfdQhD/GWKB/UhLNaF8KPP85sL +3LfP8Uuf4SdnuWcv80Of4junuWuf5Js+zldOcMc+xhe9xGeOctte5JM+wkcW +uGXPs6Jn+cAcN+0Z3uvDvGPEDXuat/F/8YbrtpTnBCM5rgmhU++S7viOegfb +pU2O9D7vnbCRSTbZm6VFSnq+wT0lIznJSsV+4bx+zwkpSkEu4zsykh7plXPb +lffXJKkPykD8Hf3UmWdyKNO2VfkHK8VAOg== + "]]}, "0.09`"], + Annotation[#, 0.09, "Tooltip"]& ], {}, {}}}], {}}, { + DisplayFunction -> Identity, DisplayFunction -> Identity, + Ticks -> {Automatic, Automatic}, AxesOrigin -> {0., 0.}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines -> {None, None}, AxesLabel -> { + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + FrameLabel -> {{None, None}, {None, None}}, DisplayFunction -> + Identity, AspectRatio -> 1, Axes -> True, AxesLabel -> { + FormBox[ + TagBox["x", HoldForm], TraditionalForm], + FormBox[ + TagBox["y", HoldForm], TraditionalForm]}, DisplayFunction :> + Identity, FrameLabel -> {{None, None}, {None, None}}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLinesStyle -> Directive[ + GrayLevel[0.5, 0.4]], + Method -> { + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, + "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + PlotRangeClipping -> True, PlotRangePadding -> {{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, Ticks -> {Automatic, Automatic}}], + StyleBox[ + "\"min(x,y)\"", FontFamily -> "Helvetica", StripOnInput -> False]}, + + "Labeled", + DisplayFunction->(GridBox[{{ + TagBox[ + ItemBox[ + PaneBox[ + TagBox[#, "SkipImageSizeLevel"], + Alignment -> {Center, Baseline}, BaselinePosition -> + Baseline], DefaultBaseStyle -> "Labeled"], + "SkipImageSizeLevel"]}, { + ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, + GridBoxAlignment -> { + "Columns" -> {{Center}}, "Rows" -> {{Center}}}, AutoDelete -> + False, GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + BaselinePosition -> {1, 1}]& ), + InterpretationFunction->(RowBox[{"Labeled", "[", + RowBox[{#, ",", #2, ",", + RowBox[{"{", "}"}]}], "]"}]& )], + TemplateBox[{ + GraphicsBox[{ + GraphicsComplexBox[CompressedData[" +1:eJzFnQmUXVWxsAPODAqKEGcFnCFGRRSCbHkqIMKTIYLwK5OKAwgID4EozydC +RJQpoKJhspExgNBJOglBSG6Szpx0upNOekr69tzpTidCEBSB/969z1f1qk6O +ret3rb9XFpva55w91K656pz7nrMvOPGbO48ZM2b2HmPGVNsp+3+h8q82jMn+ +ElwSuK3ue5V/y931RoHj5bZmgVtTh8AvvVz92yTwTfH5LoH3q4JTegSeGR/v +E/ioOOGgwC1x/CGBz40L3CJw+tvmYN0n+wNmf/Z6o8DsD5j9AbM/YPYHzP6A +2R8w+wNmf8Dsz57TNgfrufl92v2V3P5Kbn8lt7+S21/J7a/k9ldy+yu5/ZXc +/kpufyW3vzwd7vjc/D4bBWZ/wOwPmP0Bsz9g9gfM/oDZHzD7A2Z/lo+2OVj5 +asd0WMrtC9ieX6M7v0Z3fo3u/Brd+TW682t059fozq/RnV+jO7+8nNgxX5Vy +5+T3Bcz+gNkfMPsDZn/A7A+Y/QGzP2D2Z+XcNger3NuxnCjl6M6fk98XMPsD +Zn/A7A+Y/QGzP2D2B8z+rNzeFork+I7lXinHR57u/Dn5fQGzP2D2B8z+gNkf +MPsDZn9WD20LRXppx3K8lJMLno883flz8vsCZn/A7A+Y/QGzP2D2Z/XqtlCk +Z9mfl9teznm54PnI050/J78vYPYHzP6A2R8w+7N2wrZQZDewP6+HvNz2cs7L +Bc9Hnu78Ofl9AbM/YPYHzP6s3bMtFNlB7M/rVa+HvNz2cs7LBc9Hnu78Ofl9 +AbM/YPZn7bhtociuY3/eTvB61eshL7e9nPNywfORpzt/Tn5fwOzP2qXbQpGd +yv683ePtBK9XvR7yctvLOS8XPB95uvPn5Pdl7extocjuZn87tuO83ePtBK9X +vR7yctvLOS8XPB95uvPn5PfF+moK/ImabL0j7j59zt/H8xbeJteL+v28XLf9 +Uxyetwbbjx2t/bT00/pxiuax+83Pk9q5OXzY/trcdfrT/uvlflr6oS9/3dJd +g9xPSz/06K/Tn7a1Vu6npd/Sr16n/+j4Py1yPy390Lu/Tv95cSEdcj8t/fCH +v277y3K/Ha8s/OSvW/usW+6npR/+89fpT+P1yv209Fs7Qq9be6Jf7qelH/72 +1+m/Ma5js9xPS7/Ve3qd/n3jOoblflr6kR/+utVHI3I/Lf3IG3/d6gPPJ7WF +fEBbROdW/ubpmLaITmmL6JC2iM5oi+jI2s15OqEtogNrp+XPmbboHGmLzsnq +4ZEMn9OcHJ2WXa/L8DwvB6fbF2Z4WJqDz4+3rwyxe/81OTjN0xTSsOtycNz+ +y+szfLbm4ITH9gxfG3NwWk9nhudyDk77wZ/pzsFpH70ZnvtycDrf/gzPAzk4 +zTMYZsRxN+fgNM9QODKOuyUHp3lGhE+s3q2T87L8U+PgWjkXe34NbtwG4TvO +ieesPK8X2PJjkzwHXzEuMHzJOfIcfMa4wPAp58pzVk63OD5sk3PmOcuHHQJb +f77L0Uev0zu9Tk/0Onrpd+P2O73Q7+hns4wLbPXAoKOnYRkX2Mr9IXkOvmZc +YCvnR+Q5SxfQV72zl2pz91n53SznY/3pdueHql5ivZb+ahy91Mi52etlgcE7 +MHgCBg/A4M/Px36YD5j5gJkPmPmAmQ+Y+aweVD61+qne0X+9zA/M/MDMD2zP +vd7pAZUTRXKA+S3/lgVmfmDmB2Z+YOb348HvjAfMeMCMB8x4Vu/nz9HjtUgu +WfuwReYHZn5g5i+iU09H/lw9nr3cs/Zih5MXHTJ/EV94uvV0VHQORXLV4qPs +8FF2+MjzpecbT8eerjxd+HPycpz1ALMeDyNvvZzwfOz5ytO5p1NPN/4cPR69 +nvByyssRz9eezzyfeLr1dOTP0ePR6yUvN71c83LG873nW89Hnq49XRWdY5Fe +TPMV26H7Gz2ftwO9HYbeS/ue5uyuOmnBk5XvdbIO8GT5camsy/vf9KNX03Bq +F4NX9Ky3i61/U3b8XZZ+9u39V9vfn7N7rb86mLN7ORfw6P1Dj9+Et1rZH3aF +tePaZH5vL9m4WIPYKda+qHV6YMwYK8drnZweM8bK2VonR3m+LNetXCOv1i3X +rVwhL9Uv1y2fjxlj+bDW8dmYMdaeqXV6qeT0RMnJ6ZKzn0pOLpWcHCg5+0nz +9dA16/J6N/HPcqcnlzu9tdzpjeVOTi93cnK5k0uaX//HdFDK6eHU3+jw0+jw +0+jw0+jw0+jw0+j0cLPTg81O7zQ7ud/s5GzzP0nHpRzevR/m9arNY/YLbPVE +m5PLbf8k35Ry5+7x7v0+r0fx12w8bJPTA5v+ST4t5ejOn7s/N+9ner2Of8j6 +gFmfz8/+YzlRyvGBp0NPR/4cvZ/r9Tz+KevzsM9H/mO5VcrxqecTT+eezvw5 +e7x6v/pfk5ulnNzwfOv5ztO9pzt/zh6v3q//1+R4KSfXvFzxcsHzpecLT4ej +nbuPM+xYztaIHYN9xHXsRK6nXc5zeQ5fB1Qvdo+3j7jPxmHUvsH+sXH7DrlO +XJB+n9e3/Nyds4983pHzxI4hrsf+sGvYV7y9Ypcyv7XTND5p7fBBd45Dzp6s +y9mZ4Iv50nqacnYjMK23G4HBA7DvBz+snziXtxOBbb/aicDgEziNNycbf4bQ +Efu18nxp1qI32ty5+3wRMPG2wdy4CT+LMzwuEDrccTx7eda/JsyK867K1t0g +/djxVq+sy+Zfn1tn6kcvdQodpufVb7FyCHqGjrulHzve5hmId6q9Trww0TV+ +15DDzxTZB/YU9ARegC2fNwtdsu/0/FqRX9Ap9AbegK2dUJZ5bLxR/Rfvz/g6 +F+gWPKT7el28Uv0d8Ahsx1kqcp5zT/tZIeu1eqUnu97l4utzBW/A4BU+sPJF +4/T2uaacHAW2++pw+akOwRt85OPiwFaO9ubkps2zjAjf27oP7y8O5OLYwDaP +lc9TgS/4N3UvKswb2bgSdl+nnK/P47AO+CPBGn8Av+glm1dsEfmE3AQ/7Nvm ++QZEPnk5iVxETno9gFwCZl7kpJfj1t7qlnmRk+DBywlg6B35aOkf/6tZ+B76 +R54BI7cSPvqEL9kH5wzfMx/jpuuNcr7wgaXLdpEHzM88Ce5xeqhX9slz4Jdz +T/tbJvoCfNpzVnlu6X8obIjPbRF5C12zP+iW9aKnUlsj9yOfrRyZIvfxXLo+ +TZ6z+e0WmQ88wyfANv65SejdP+fzuFbObxC6tHVu/UJvNg612cn1fpf3Hsg9 +5/O0Vq73C52DZ2uvLnd4XZbR4XyhKyv3GwWG/nmOcwM/tv5yo9BHWs8moTtr +h/UIDL/wHPk99g99AUNfiY6Hcvu09LxW9sE+adH38Bn87ffl62hsPLLX2Yvd +ju+6c3Uo7IN9omfZh6133SjnzHOs2+a5G0Q/I1+A7bq6ZF3oa2v/qv6Gzyxc +K/hDflk92iKwjTP0OrtnRO4Dtn7miJNP00Q+wYfII/jC+xfIDStv6+X8vH2A +HWDrFzbL/Mgb5rd+6YCcM+exY/t5peDf27dWHi7L7v+TPAe+gdkf52zvx25d +7PhK5a49D/U3oQPuhz+xK+C/tO/Njj5KQh+cl6WXejl3K6d7c/6XjV+NOHti +xNkxI+68lgu+wA/2hfWb22W/2BPQC/sBn3Zc1f8277JJ8OXr0r1/wn5YVxp/ +qswHn7Mu9Iw9j26xa9AD7bF/TbaPldk8PZn92CXzpf1dKePb/QzKernfxiGX +uri01vVAd5w3dMN5Ym/afNlSkTfQtbcDwYuVv1r/5u1A60fOCX590Cf7t/ZU +2dk7g86O1nhGGnadswf1vLEXOE/ugy8sHa4VuWfzx/1Oj6o/x3mn8VfIeafn +u5wdrfWKHq/ANn7k6we7nb7udvVf/bm4EnjnHGycpkP2Y+lujth73Acebbyj +X9YPvVj7uyz4QQ6AH/g+zdMo9GfxNc3FvWtkXK7b9wRqZN/+efDP89YeqxH5 +Yt9jqnf0vtTxi8YToS/uZx/Wfl8r16Fb6/e2BOtHtcr6/D78Ov06/Lw+7mnt +qnIuPgl9W33cJ+vhPviYdaR9LXJ83un0SafwOXxs64yHhc85R8s/9zq5Ui90 +Dt6sXGoROrbxhvZcnAB/GTq3dQOD4pexv4QP3Q9+F+tP5/GorBe6wD6BP9I4 +q7J9tLo4pNor8E+avyubR9ebxqmV+awd2OHq/gadvtV4HOcM33MONm9X4/zj +aUJPjGffw6pxeJwm9OXn57yt/Fb7nOvMz3Vbl1Hn3gubK/N7P9fGxZuFrpif +68zPdStPl7p64YXuvbN6md+PB98yHufCeNidvk6B8fz96Dfut/Jn0MWR62Xf +rNvv2+tR7mddXGcdVl90C2ztsRbRI/CttctaZL1eHlo6nJKjQwvPdedWl6Mb +a4/Xy/3gw5+zfb5B7gcf/hx3bGe05ewQqxfaXZ1Kh+DL+6dW3g3KdfDj+cLT +qaczT0c+Tm7zYn0iV21+puzOsyzr89dtfd5gzr7xfgnzol/8vN6Os++3dsl1 +H9eHvqzcmpKTWxae6/i8LidngKEvy5cLc3LBPt8g99vz8XyvfG7lXlOO7+18 +LXK/Pd9Bp0+Vzuz7sO05urPjl91+O3N0AMx5WXx25ejC2+GWzorzLJynjX8j +7xY7elL7BH1u9cJikYPgFf8izaN+Knk6yydlF3dRv8XHrcmzYY+wHhuvbpb7 +GRf6wE/kfL0c9HKB+y3d1gne/HheTnq6BoZ/fJ7L65l033IZz9O9l7NpnEbH +l03C156ugW0+T+nYyne+H6Dxfk/HwFY+aF2f9zvs9ZLA3o4AD96vsM83Cmz5 +W+uPgC0/ax7Ry03rH+T50H9/oMius3w1Q9YLPdj4zgKX514k91u69XWd8Kl+ +h4HzwB9N43S6fJHmw4vqQi2fqTxHDhD3Y5/pfOYL7POexPVYN3F6YPyB1K4W +ez+dR7fwO3LenzP8j1xkHT6PAMy8O84D9Ejc29bfat6SPAAw67f2qubnOE/k +CfQMn9h4whw5H87b6us2F2fqELrjHNm/9YfKcr+NJw3K/JyvHb/s8pEzhC7R +K1YeTSmQA96uUDng43xFcgA80s867DlqfaVdV8nZx8tzctTy13oZz/K7vuds +7Se/z5KTy8vd9UYnZ5oFtvJJv89h7ZO8XLL2R7/j3zFjbJ2Qvtdhv/tSI/SG +XEOvWP+xUWAbz5sv46fn5sr4wIxv5Yq+t+nfg7b6d56MD73a+p56Fz9YKuNz +3dZB1Dt7W+PCyBtgS39z5TqwPdde59/2CMz6kAOsj+v2exQNsj6rB3tlfiv/ +18r46EXG57qNY62V8f392MncD8z96FXsT1sf0iOwzR9skvGxq238zcuzjW49 +Zbeesqt/0/epiuic8yqiU+iiiM5sHCJ/zlZP5c/J5y1t/aDWEXEd2K5vRPwG ++10YHx/X98mK+Iz9FfGJjX/k6ZT9FdEZ+yuiK/ZXRBc+L+fpwOab83ix56h5 +YF9HxXVfZwU+En8sysYnDurfN+3M+IK4QWcuzpvG5fsDwyLXrLyd6/wG4r73 +ih618niKe25qLg+VbtP32tkX93n7zceVLb9rnBk9XFT3kubdkMt7pX597xw8 +2vxg2dljGre2eXhf91VcB5PW1S/PWT2r74XbOmK1i21+UuPc2AEW39hLszL6 +mSn93Ec/92E/WDsO/mh1+GlzdiLxvvZsv+3OT9B+7vN1s3a/il//Hjr2RTp3 +7BDtt/aJ3ufrZNFrCS8NYk+n9TVIv9WXep+Nj2i+IM2n/bYus9vl5RYKH8EX +wJwDfAXdQufQLbDN524QurJ1VcOOToeFLhnH6q32nH3G+ux7JzXOLp2Sq2ux +dqjPd8x1drLaa9Cr/a7eXBmf68A+Dsj9Pk/L/ODdx6VtvdBCF9esl/m4Duzj +itzv42DgydJXXS6O7e03W1/Y5+Li/XId2Npvgzn7jvut3m5ycd+17jw13pOW +rXFO7rf54SY597TPZkfnmvfydMH9/tw4Z0v//c7OGczZj/5+H8/39qCPR/n4 +urcH4VP25+nY05U/V38OPq/j62J9nNbbY2lezetbvs3zqYXnOrrP85nlw3pH +N3m+sM83yP1FdGv5bK2TA3k69HRg4xN67rbeW+nAfl9Tzx07w8sdz9eerzwf +eDr0dObpyJ+jz9P4Omc/P/MCp3NvlLy4jcPkv5tj/Yd8vRF0k8a9UvqtfaLv +29vrefvO1mcM5uwt7GSrr3zcpVb4gjjEP46b1LrxSm68ktNvJfd8Ps7j6859 +XAa8QeesAxj+stdLOb7gPH2cx9Jps9NHzbm8gs3jtTl5ou/z+7hQUZyI/Vm7 +wZ/LPHe9JDDywsrD5QKDB/t8o8DIAyt/mwW29a3+vWp9j8bXPY5GVz5uZOsu +Srm4j5UPy3NxF/t8Yy5uYuVDcy5OYuVDWy7OYf32Tbm4hh2vy93f7eRXT66O +yceJ/XtDvk7Uy1PoCP1i7YTF4g9xv43v1Ts7QfMGyFcrf8pOL5TF/+F+n2ew +ekHzDDafudnlE/Nx/TT+DFkncptzBuacUwuf+/fy1kvr5aqtd2qTdSP3/Xf0 +rP5H7ut7d7Zusz8np4HTvmZl+5gufmCiszbx09L8g4IH+AZ7weYF/H79+5jd +rk5S1wv+8QvtfFcK3uFD8G7l73qX31kvfqPNTzc6+tD6WStv+pz863f6tl/8 +SmD4zq6/1s3XJuskj2bfM90o9Apf2jzUgOAL/5x4VFrHIok/Jbx1Srwp8bXm +9Wy94XShi4S3FbJO6AI6Sde73LrVv7f1ffr+GueWnidvB78ojF+e8Knvs9k8 +JefDd7oVtnZUndCPfa+h2dm562XfwNhl7NPGT7SuxtfZQA/gyfJlt4sj9Qu9 +QA82P7nR1a9vdnHPfnk/gvGQy9bunCbrs3K5S/QfsOWzLpcX6BK5DAyfIweQ +w8hJ7HlgrjMu14GRA8gJ5LSViwrb95v0uxHAto5uilu/1s+it+CzdC7rBfb1 +s+ghnkM+pmEXSX6/zujLBYIn9kudDHwCbPmlU/Cc+vFrtc4YGLxZudYrfARs +5dyQ+96lvr9u64H1/QP2wbrRe6wb2NYj6TrQW/b9817BI+ODX+jH2rn593hY +H/Leyp/GnN5mffa7Hqpnvd5lHfAV81i+WyP2kOcj7Ddg+35rs9wP/XE/sH3f +UetPi/Sk14vgyX7/rEdgWy/S6tbd6vz7Nlk3dox9P6rPff+jz73PpXq2SA97 +vct9Nh+gv0dh6Uvr5fAT2D/ywJ7nXKEL5LHNI9YK/pAfqdX3Ktk/16GL1C53 +45VkPOjcjleS8aycqRX+sOM3uXxSk/Nzif8tk30CQ8c2L7pc1mf154hcZ322 +Xq1XxuN55rf7a5Tn/XXol+vQv6137BC+tO8bjgh98ryvl7bvj8xz74ssFRh+ +8nxr39fV7+gwv30/b8TFI2sdnqcFS5clR7fzHB6XOzt6qXtez5H1W7ptlutW +D+l7tFwvyvNbOaLxKuQT5wLs89f2+ysjIvfAj6WzaY5O/HtQJbkffNn7l8t1 +8GXfh26U6+DLrqtZroMv+95wm9tXq1y3entE8Md1Tzf4+5Zuexxddct1q59U +7nLd1hWPOLk54vTrXLFfbP5Y88RW/iwUf5nn0AfejrH1wOR71gpfWH5Gn+v7 +Sz7vyXM279k5ip3TK35C6u8V+8fajZr39Xlg/x1x9AzP4d+jXzj/BNfI+XOd +fQPb3zmqEfuW6/a7aFNkPvQN83Geto6mzuG5zv3O0lyZj+v2ezJ1Mh/nb+m7 +Xubjuq0DWOi+T1Av83Gd+fz4Nk+x0embDoHt7/s0yPhcZ3x/P/rUfpesyb3n +jf2pcW+eBy88z3Wet/ab1l9bf6dDnrf+5maXZ9J6bDt/2eGz0+FT7ycuY8+7 +y513l5yD/50D5Cp4Bj/4zXWZfcG8drxOkXusA/2Bn2z1R/47/P73tdALyCNr +f9cJjPywcWfkR6vLP7c6u3LAxU/871YM5Ow05CLzAyc9M1/wZOWnwlxP9LNY +rgOncRslDmR/V2KpnA8w+Ld6q1P2C2zr9fL14/Y5/V6DrS/HT+mRuBR0YOvv +u53e03gseACvzGvpW9+Pp7Xfb9B4GXIHerX6Rev5oJs0T4PQFfYBMPqO8diP +fb+iW+jM5jHa3HsvvTJfGneZe77s6GSZ4MPWsQ+LnwXe0nPrnN5e6/DY5/Rx +r8t76fvoPM951mV6PvV3ib9p46gtLq/RK/vB3wJGH7E/a9+rvcB+iY8BWzlW +L3xh6WmFnL/dR6fsw9bvjTh62+Li4AuFX5k39ef5E/mJvOQ87fftlL9svUOe +n6wdrvSSxi25c0d+L3DxO+Wr9Fyn+76UtsSDoFfsQ2DLP2sdv61zck9hG1fv +ENjyU6/zN3oFTzY+2+PiwfcKXuw6upz/2eX4o0vut3mMFuEz1oE8Jh6P/Ev7 +7JRxiUcwb8L3FOenax0z/MW+sSes3tQ6W/td3RG5z37PptfNV5JzgD6AoRuL +d9UP0AswdMQ4lq8XOD3ZKXwHbOVQPi4JHXIuxBuB2RfnQnwR2Puv3M95M17q +nyb6HLxzfv69OZ9nt3U2+t4YsM0r63e5OA+fl/d5bPQ68sTn6X1em3mR6/T7 +uqc0fmMu701r8at5fZ8H93hj3cA+L27z/ZtyeXH/Ho7Pi/tzsP51Vy5P7r/D +6c+N9fo6El/34es8fB2Hr9vwdcr+u5D+9+dsvEJ/dy61W51+GpF+5AjP2bZG +7kNu0NKf6GJrhh9t6U/3TZV8LS39ln/874Hqd86gexu/1N/3tP3Lhe5tfEp/ +D9N/Nw268t+1tvVm+h0+6MzWPen3E/132Gw9gf4uJK3/Dp8/Z1uPgr+gfhd2 +qf3O2wpp6bfyvNHJtbUi15DrtFZ+tgh/Wj2D378hV99AP3ouzat+n/Xz/Pf/ +1G6BDz1foq+Q4+gZWivf+x3/6blRZ+3rJegnT57oQf1O/zuQnt+s3h0R+5CW +fuuX3ist/bQJLzPET7Tf2/uT9NOiV9O5L8vObbG09NNCN9Y+gh5axb6hpZ/W +1q1sEvvcvu+7SdopmV63+Stt6aeFLmw+qkf8ON73oKXf1kUMih+Jf0BLPy12 +BfacrbNQf8rae1vETrX80yF2CHFDS5+Dzi7xfKZ0i5zz52n9ef0dJOtXa0s/ +9rSvT/b79d9L9nqcdafxWLe29Fs6aXP7ov4X/tQ6Dvo5R/s9jSXiT9HSn/is +LP4RLf0vxvH1PSxa+sEvfGnx1yLzpeslgZHXCU/6fkqSh5rfT8+tFTyl5zUu +znoTrO+TIU+pi6FOxuZDfVybvKjilf2m+4cERt6xjrReXWeSE01C3+yHcdO6 +et35Kb3bvHqjyB30lM2bN7r3gHpEDli/BrnfI/iw3xcfcPbtGpd36pH9Jfpp +dHSs+2Xd7A8/HDjRTY/sl3VDT9gxlp463Ho3u7if/g6G7de6j3Rd/ScbD9G4 +GP3pvmY5P1ro1OKj2f2+ibY2X691WWm8erFjaOlP+OgUO4GWft6LRA/T0p/u +nyl1a7zPRp0a75tRl5b22yB8yftf8BF6Ez2KnkJvoRdsfSj1LdrSDx6oS6Ol +3+rpktOLOp/NS6xwertL9CRyB3mEnEB+wNfwO3LcyvWSrMvzJfreyu82kes2 +v9WZ41P0sf89buS6zX8MidxN65kq9g7xJVr6oSvksP8Oso8LIMfT9Q3S0o/9 +YvV4h/RDp1ZOdzu9qnEG5BD2JS392CPWLhiUfugeOY1/m/Z9pfO7eC94m/hn +1k/bKvfxHP3cBz3Bt9ATfAo9wZdWPjbL+v17cZyHjffr++mcK3LR4l3xY78/ +2+i+P+vfh+G7DI9n5zZLWvptnJH8MvvR92TpZx2sK82/WepfaelHfsNPyHGr +j9SuRp77PAt8ZeuAB1x8fpnTm8tcvqEs+Er77sr5lfZ9pJVyXtY/0++HI4eR +y8hh5DJyGLmMHEYuI4eRy2n/yq+06Cf8QJvP9/XyWp9o9do6ub+oThL56P2x +tM9pst+E98dcHk3P0b4/z/dI29z39fUcbV0GcmDA5V1XuPh0l8h9y7fqfyP3 +4VvwglykTfc3CV6QY/b9gl6RG8ghKze2Oft3tdi7qX+tnDffd8JexX5En2IX +09KPPsWupaUfOYPdBX8A2+8zL3Fy2/++a9nVo5cL9KTyp7X7l7r30fV7V+gr ++72rspxzmme5nDN26xP1z933tsWPCp3ed8m73/Hua+aLHt/2ms+fU/sQcmC5 +tEu++evj545bEX5+/7mLrrhzk+jt5udf+q/usTo+7bHH3/zHb17eFd75i/2e +vOTTao88+sfzjv/dZPJ3W8KyW46a2f/IXeH/zDjmgrO67w4Xfqmx/z8PeiJ8 +4Z2vW/3O+x4PJz5876Pvuaw+jB23x5/mHF7xm6av/Ov021aH977vLa+496OV +c9r38vfcfWaF3y+Y9v6tC9aGm3ZquPAnAx3hqJm3f/cTV3eE8Wf/5qindi2H +s0qPHfPNT5fDkv3KLd0Tu8PwF/7W/vPJ3eErR3/ovNfe0Rv++/zPXvDI6t5Q +M2vdzc+dtTn8901P3HjC+M3hdW951X4/uHw4TLj8Xe97+7Th8NDkaVft+exI +qJu46+DS+drSn8bfmo2/NWyc3Lbgqq//Klx71ffmX/O168M1r1v8oV89uzBU +gHe+OG5hmPX+wYvf/9aKvXHDVd+64aQKn8Z9bQitLX1/P3XV+nB4nLcz7BbX +0RmWjPn27M9s7wo1rf8583elrmye/mze/rD3+Ot2aho7HHpXX/TSAf1D4aaN +J39p48+Whpc+//R/HDm/Qq8vfeSG/96nImeOOftXyya1Zvsuh1MjHsphj7rq +PAPh4PZ3VuYdCF95bxVvW8JBL1fxuCXsvs81G7965/rw4MknbdjjsPUZXvvD +RyKe+8PZ8w569bFfXxJuC8sr57Q4PNNXXV85zJ/cWVlfOay8vbr+4XDbp6vr +Hw53TlhTOa814bAf3lY5rzXh/onNFfz3hEu3z63gvye8/k3Xf/lDQ3PCT/ac +e9jfvjY7THr68GM/dXJH2Ptjuxw5/HR72Cfud3Poi/vV942uLt993QsVemnJ ++HDCH5srdKjf89/7nM/97oBp+v2Iyb8/8cq9rtb3EG97zW/efsR4tQcmfvm8 +b/y8Zpbo+11/+pc37LGwXfT5mc9/u/vJ1fo9tI+uuOagU09eE67P+Hrb22sv +6R6LPq4LDzx489QfVPZD/ufMr8z72vKn9XuKu3Qfd+3b+/W7Ax/55Sc/eNFt +i8Vv6/vt3G82TdTf7Z53/AePuLak37e8/b5Qc9DuGg964NrrDjhhe19omDpU +obf6sMvbrqzQm/qJh33px5/7TqW//69v7Nx0qX6vZlU8r85wezwv9RsfjON1 +homXXNT0yK76/Zp0fsPhB/H81I+86ogXXvPas4fDuAM6H/nm5fo9m68t+cDY +x5ZPD0NLXxhf/spMwU9p/H6N3zh1Zhg7+ZjXnbiXfg+Ffu6jn/tW3Nlb4Zu2 +MO7Mt1b4SH8/se+QbwzVV+BD3zDukCvP1O+a0O+/g8J9iW4HMzrW75KsaHrX +Cb+rwJc9+crnn7td/RH6/XdOuO/PA5dW5FVDmPjAQxV5pd8l2S3SU0M4K9KB +2rv0cx/93HfStA9W+LY7XL3r5yp8rN8pSfTYndGR2sv0cx/93HfGwnEV+dAc +ShWhtWyS+verPn7p8nsfaA43vHb+9MWVtqXx2TlvqtBXko99mXxU/35+pMe+ +cE+km76wKNJRX7jjWyO/Pu6kRbm4xDNPnPZCc0UuluJznbm4xD6RXzszvszH +JZ6O/DUcLvvLp9Z9d5cF4fBLa8o7r9E88YMfOrj2cxX4y+uWHjd3nNYvTIp0 +2hmmRbrVeSdHeu0M4yO9al454XsoXBXxrXnkhNehDI/qjzIv62Be1sE8zMs8 +zMu4vm6CebArr7loj0eXfP8RyXMNPfKBS145X3+38+NHHPfkr3uXhp8ecP3z +zc+uELvwnDNa7jpod/2dKfywp3/0um1bJ6zP5OXG8MFFF/x56wTNn77vNTv9 +4u395fD3I2767QHTND963TmtHz5hu+Zd8ONOinJC85UX/va9ax/ZVfOVY548 +/5ymiVsye0LzIkNTr59w9Am35vKP9Kd1bw3vinaGtvQf3jl0zsHH3ZPLG457 +Ydmr7/nO/dLSD97AY+1eTy16ausTuTzih2oeefNzVzwpLf3gGbw/OTj7p3td +nc8rvn3ljFNqBlqkpR88g/euj33x/q/ts9HF+zaGw/c+6kdDk7Sln3PhnOZ8 ++Jh3HDFe84/4Cd9+x9EVutOWfs6Fczom2nH5POTf4rlrS/+3tk+e8OOGLeH8 +Ut+dn7xdz5VzfvMJ66994fDV7j3gleEr127q2nTpqvCaH3WsuPeBfJ0AdPrI +n18crP/oWvFDuH7863fe+5BVTeGSU2459MozN2R2wPrQdOiNr99j4QbBP/3c +l+hF8xnQccJDd9j0X+0VedQT3pv509A1dP5YtGfVH+T6K+K+e8MtXbMqcl/z +MZ9dO7PrydWaT6Sf+6B7+OCLEf/5fCH9L/2i5+pfXvlY2P9PD9/xxBumh6M3 +7P3LDb3zQ/uFP7z1wodKoe7GiRU7rS283D65Yre1ZXblpvDGm39ZsZs6w8HR +rhsMp0U7bzAsjnbkUGZXDok9sU/91L0OWaX2RLI/+sOkd371oldW7Mp0ntrS +/+moRxtycZz+qHcbMr2YzzfRn9ruXNxnVdSz3eHEKFfy+Sf6J5+106UHVuwL +/B3shfG7tYbP7DFd9mX3mY9Tlratqb+igj/2bfHA94NU3x8W7c3BcPKb33Zq +zYDmb5IdpHoy2eGN4XvRLm8M0zb33Pu1fTSf8Yloh/dkdnlPZj9p/uKFvav2 ++JowN9rja8JXoj3eEz4V7fGeMCGz62Zmdt75mb4dyOw89BJ6eXumh7kPO8/W +Oardh95Cb6OnuQ+7z3/HEDsQvYZeR4/butvmcNnpD18xNEntEPD5YMRXcy5P +Bt5nZPon2ftql4D/tA7NR9DPOZ3/XNXfWB/2P7DqbzRLS//ro//RH0ai/9En +Lf1jox2yOPw22iWLw36nVO2Mcnj5z1W7oxxe2r1qRwyHlvurdsWw2Adn3brn +d2of0vj+MxEvWs+2MtL/kNAxdM1zPs4AXV2e4RE9X5fFm56J+l7pHLpnXh+n +gA7BK3qeeFTiP+UD+IJ1s49zdv7dhQ/95GcTJqz+6Revf/dloTFO+O1cPdBH +dtt19rmnXi9xorOjXbQ17BbtoK25eHVDnGerPMc49HMfcgi5hFxBzhy2uv3A +qfc+Ln5g8hM1vpzoVuPL3Gef65DnuI/nJsXz0LhfwqfG9ZLfRxxslbTJX1uV +yZ98fDXxbZfIBeQEcgE5ccst39nt1vrZ4dxzf/3Mtw6ZJS3961ZW7fyO8Kvd +q3Z/u7T0H3lX1a4fDPtOqNr52tIP3cMH0D18AN3DB8mv1vjt+OhHr8vFYa+O ++FyX2ccax03yw+cXezN892V+09pcnJh5GZf+ZGf35uLGzMu49G8/bHbPayv6 +2Md/3zL5hoNHXnhI+IzzpoUO4Bsf34UukpzWeG6SuxrPTfo2H59dGPm6KdOn +vVlcRNtDI59qfBY+hE/gs2cPTHG4H2RxuVOzuNohWZxt5g9TnOymvVPc7Oid +P7/gVTWzwr4t339wXcU/p6X/qEeqfnB7eLG76hdrS3+ii4r8iHSiLf3fifGg +NeEDMR7UIC39u0c53BO2RLncLS394DH5aRovvTrKf/3+PnYpdiB24feyOOYH +ot2tv6u3dM2xP3zvtXdIS//50a7cmp3riLT0EzckjkjckDgi41i/piRxXPwU +/Bbit8R1sYPxS4jjEtfFz8DvIJ5LnBe7Fb+CuC5xXvwE/AbivMR9iXMS99yp +o2qXNoXZ0U7Vln7Wix1PXJQ4KXFQ4qLJju3N7Fpt6Wf92OHETYmjco6cK+fz +1+jnaEt/ihePZPFibenfeeDg7X1/eyjMuPoPpcmdD0hL/xeO/dirj/36vHDe +t6ZW5O5T0tJP3JY47o3fnVCRpxU6fcVdFXm6XOxG7EjiusR5N9y8vSKnN4Ub +jypV5PZGaekn7kscOK2/K/whrr9L7E7sUOLCxInrI943Z+egLf3EjYkjnxbn +25LNtyWzN7R+LdkL+fq1VRcvab7u60ukpR8/N+ltbf13z+6P+nBYWv/9RtZB +XJs4N+tgXcS5iXsT5ybuTZybuDdxbuLe6DHsVvQUdijy5svRfl0jedxkj2q9 +0VVRT1Ef15fpoX7JC50R7cD6MDHGmbTejTxR0pPlLM6kdW7fjesbzuKYw+F1 +Ue4PS3+ab1bYZcFRb3vuijrJbyf7vF3y10lfYfetCXfEePSaMDb6V7w3oHF3 +4pvks9I5dWf2jdZnEZe3ebbFss++lSku+dPdU5ySfbHPFVkccmoWl2Rf7BP8 +JnugWfBMP3Ex7Gfi7PZ9tb5wRrQP9FzoJw6GvUxcHn+SOH9d5q8R58f/Is6P +P0Ucn7g+cXri9sThicsTZyfuTpycuDlxbuLexKmJWxNnJu5MnIG4A3EF4gzE +EYgrEFcmzkzcmDjybp+955Uf3EXrm+6I+NP6pkuj/UKd7ZDIQeQicgs5RhyY +uDBxXuK+xHGJ6xInsHGDkqwLvhQ+jfhpDk9H/GgdV8rnQB++frVN4gzsi33C +58L3cX194cS4Pq0DS3Yp9DMg8Qda4hLgCbzN/vIbKyi4O5z7zI8v3z73Lsmz +knf93uxPV+ymlrD/ebtW7KgN0tJPXpU86x7xvAfC5vMurthV/dLSTx6VvOrT +Tx19+pIPXBYOHPzesz1XXFPBc8NLO115jcR1fxL1wtbw1agntoZJcd1bMztm +qzzHODzHODzHODzHOORdycOSVyXPSt6UPCpxK+JYxKGIS2Fv9V8+8y8PD2n9 +0Uei36L1R0nebpY8J3lP8pzkPRmHccl7kgdlXOYhD0pelHmYl7woedIpUf+3 +hrao//n+UmsWV2nN9Dd6XePCSe4MhO++54GK3b8qvDRn94ofsFpa+sHX5Jh/ +XZ3FmbQeKNlj3Zk9pi394Dfp2+4szuTrhVSPoBfQE89E/4vfV5id+Vtaj5XG +473eQcnTEichT0veVsbJxiVvm56vc3nhOTIP85LXJb9I3tjWvQ3Kusj7kj8k +r0zcAL2O3kOPo+fQ2+g18uDkxcmDkxcnD07cdNw39qrI8UVhe88VFbleLy39 +iV7qw9hXb3nXu69ZlNFXZ0ZfZWnpT+smj9UZSlGvDGd6Rlv6k7waDofEdQ6H +g7767kkXV+yM+0477qzPbpshdWKT7njpmsaDZmTnNjOcNfaCE3s+NUvu4znu +47n5Uf+0h9Oj/tHfszgpynWtO1sZ+UHv4zl/32FRbgyGXaIcoe5yMJPjWreW ++Efv4znu47mBaL+sCVdF+0Xr3FLcTuFEX3ofz/n7kr3Tndk7fK+jOzt3rZtL +9Ncj9/Ec9/Eceg69l+Jnqvewm7CX0FvosRT/Uz2GnYR9lPTN2nB+1Ddah0fc +JumX3ky/6HcBidPIc9k42NvEkXiOcbC/iRu1rjq4f/VFj4Sbb/3GbrfWPyot +/dgHd/Tf+HC1jqo0fuMfqnnXxI/Twin31MY8zLK7N8W8jMjZTO6i/7ELkLvI +4V2i39EW7ot+SJvIYeQy+h29j1xGTp9ZSnmccWenvE7Pmq0V/3FhmHbiqRX/ +cZG09Jce/Z+5v+7VOvtkB3Vmdp629Kc4kNbzHhDnGQ6nx3m1pb83ymX8reHQ ++vczKvp3RTjvVwsr+ldb+tETKQ+xIuwZ/cyuzO/Uln70wthIp13h69EPWxhu +j37ZgiwPtVDqG2mTflqQyR/kUmdmJ2j9I23SR52ZHzeU+XVDmT2P/NQ6ycQ3 +Q6Et2sFNWb3aWmnph74TH63N9Jrm4+uj3dwbNkc7Wlv6of/k9/ZmelDzkOwX +PIAX8AQeuI/9ggfwAp7AA/exb/AAXsATeAAvxPm/ncX9ieMT19812tn6+1gf +i/5JQ7bu1ZncWZv5I2szu7ksemZ7X6rrS/4LdTG9Gf32Znab6hn0BnoEvxY/ +Fz2AvMfPRc8j15Hz+L34wchp5DF+MH5xsgPXZXahtvQjl5HT+MXiJ0e7sS+z +I7WlH75OcZOFwreJXjqFL9O4Q+Hk6EevkLhh8pv/1/dBypP2euQo/Z2DXdbf +feGnd9HvGXzwqzeUnv1Aj7uu3y+wz5eCvV/htmx+/5y9v1Fg/HG/LsYFZlx7 +vVFgxkNOA9vviBXv087X7+brd/Pp+/7AzAvMvMCcAzB+IjDr+vnlX3/lm158 +WOBp1d3dPU/g7TuffdJ3liwNTePeffCvJj8k5/rS7Q/9+pNHzgse33ce89lV +V/xA4QU3r3u6/rXN//Q8o40D3N/+rX32mNoq8K7v+9uEUw/cJHDa5+Lw8Z7q +jXOlpZ9zRK7S0p/2VQ7nVZd5YYe09INH5KrYF1n/ivg3HPruev3myj9p6bfn +v1jOj/GJl3P/T3/+0n+evHxadv8swXtE44UrBT434nllOPT+n1b+tWbPt4ff +P1VF4EAYOmH2O68eGpRx/uPH75/We91Nso4E/16eO/lHi0750SLFx9HbL609 +beMGGef/fOa8D+1+iO53Yry/X8aHDxgf2PKDv2+W0Dfr4H0G5qV/3zP+/OYz +/vwrgW/+bfXvAVnvjQdVD/4uee6yuP5bBR6oYPVt+90v6+9oOuIda4+4XcY7 +Le5nlsBfrU735qdk/NbD5/7PhomPy3iPvqe/0jNb4FcfW53wSRn/53F9cwTP +4IXxf3D8ay45/jWLBP7LtX98/to/LpH56j56ZYUS6mX89+x368DWbywS+IvV +5oQlMt/uET863ryuDz/Z9eFVAieybJDxxyy8t/HGi1fLeOfOfKIy4yod/57q +Bhtk/FMiPlbL8/tXdrXnsWvl/pbITk0CXzAyfddrjlsnzzdU0f0Ovf/F4aog +UPq6+ZNHjl+zqUXu3x7xsaHw3Ec7t9HwPBqegK+KDNYk8MJTqhOuE1jOpyI1 +b3tB4VkVannrRRtlP2Oruz+iQ+jU05U/d39OHu+eT4GZ/+4oBzoF3vKN6gGX +ZT13xH3q9U9Eudkt8I+jHOqW+8d/vPqncCniobeQz0bjk9HoejS6HI3uRqOz +0c5tNDyOhjfgxa+tKqxegfesHNKkvfoEtnJI5caO+Vr50POV5xtPd/7cRztX +YOQ8sNdD52V6CPgXe1YPuEv0c3npdyt3dDt9PUv0nNVLs6Qlr01LP3zn9R55 +YfDq9SB5Xu5HLwmfZX/cz3X2zXX7fCnY+0vO/lN5j93H/cB2vEY3nsLYhcDo +Tb8uu99NuX2yTmDWYa83qjzK5hV5lc3r5Q12KLD9fetivLIeYIuXYVkPMOsB +tvbDsOwbmHUBsy5g8m7A2B/A0PUXo5xbIuea7MiFKpcj3OnWMSTPvy/K7YUC +71sVixsWit3l6RgYvvlrlGOdAn8pysFOscs8nQPT1kc5NCjxL+/f/PG0jWPn +f647vOpNL1YsfuVX4mHYu/M/V2VYtX8nVNXXW/ty9nDSm0NOjgw5/7DB+WGq +Z/eOcm+d84O6BSaeAbzPRVXBr/DtL1QRpnL3DVOrjkaf7OuJKOfVfyW/AvzK +qHefkryr93/ItwCfHvWU/n4Y/ew/iqtDhwvpALjonIGPyejQrnu5wEdEearz +Q//A0AF4sf6y3gcdnPnK6v/o+VZXv/1ShZn38Wi31Alc+0DV0FF5/bGoZ5oU +LzdefOfXPqP0PWmnx6pPyLiX1VYJUv3YZz5QvbFH1r30bVXDoUee/03U67rv +c5bMWT3u3Xq++2d1XVy/ONoJ5RwePd68XEAPdUW9drPAm+O6fi/jQd/sP53/ +BoHvjHp4g4svqN1w6oEX/PLMmn5nV/Q7utH9eL2b6KZL1veKB6vncZTMH9nr +zeudHaP8K/UEmbxDD8Mn9Isdmskt+d6C0w/ynlw2P364vd4r+2upcOfIdKXr +90e+0f0+H/mky8lb/V12+pnX+8PkiVkPdT9Wvyq+qS+y/K/0lobz8bAagXui +nf+g07M1At9S/e+kPwh8UzXsMv4xpwdrBD44HuA9An+m6uZc8qjT63MFbo9x +nSd0/orVPfOJ+c6+0vO0cq8CR37W662xWSZ4ETwZe+p/+Zt3VDek8JSK1T28 +s9oZ+0d6Vr+mbnV1wRoHgr6AD62qvedacnj0+/b78OuCDj0dS1zInTP4TvpJ +7eRdq+x8V1/unLATwG+SawudHdGp66m6QzMVxo7wegS4LcszQdcp/qXwoc+1 +vGrhvTXOvl4s+WreM4MPBqIDrHAUE2eoPcK6/O+Xib/UWBXsCl/xg6pgV9jz +ZV/UJxofa9hUFayKn5ejP/m/8FMN/12gcJGdARzZ7q0af4JO+S4J8JxIb6vC +R6OeasvZX9TRF/k174h+ZFdYHPWS7pfxa6Lff6PAV0Z+v8XFnWsETn7RYwJ/ +rKoOnrpb1rVf9OseFjzs+T/V+78v866qutGzHxE8vGNd9f4rnL01V+Ckv+YL +/OG4rydkvhOjfJkn891cZd+zp6ufXSWzxnmZnjklF3+FD4ETnWrc/fRox6q/ +9LvoBy9VeVHZ/c3r1N/6fOT/pXL/05FOVf60P121dNTfOiriU69Pqezuqzeo +f3VutBeac+tM/KP5gtdHO3L0fRTZucnv1fu/EvX8aoEnfqe6EL0f+nqgGjZ4 +ROEvxzjJBmcPtwg8Pq5L8wZPx7iF+sc3RHuh1cmr9vCKSFfX5egMGLoBfmOU +gzNzdAIMPoEbY7xiYe6cgb3d9PY4/8rcOQMjv4GxM4HxI4BtPL9D4InxHDSv +sneM02gcaHr0jzYJn3k+8HTq6dDTneinihV6z3s07m7PU+HDohzTPE/yb8rO +zys7uav6amVse3LjJnrrdHZ256jzFvllSZ7r/VcfVzVE9fpHqmbIbQpDf6z7 +lGhn/Cwnx2zcZK7Af4qCe2ZODtm4icbR3x/l6IKcHAGG/oC/H9G4IidHgL0d +2xH1QlNOrog+cHGqnaKftT7Hl9Yu7hD4vZH/23N0acdXOrgn6uPOQjrxfscn +o7zrytGRt9O9H+b9bGD0DnSIXPNxiBRXUPgt0Z9X/9/HIbxf2uP8Uh+nOCyL +U+DXsB7rr5GXWp/5d9NlPcm/ejwn9zwdjqY3vBz0dJnmvVv0Z9LLjwns89Ze +ThbRLXQp+It6ar3Ad8R46YYcXXL9qqi3VJ+UYhwhT5ejyRVPl0V+z2h+y6h+ +yf+j3yH+wPg1FYtU/YHWsVXKasvJax//hI+K/DTLD4szetG4caIXjafcGPVG +SeDZcZ31Lh6q9nlr9J91nftF/1nt2WTfdTr7tVPiod5eT3pX4ZQnQF7Ok3Un ++0bjA8m+eUrgZI+rvZ/oRJ+X34PE/4r5BY0nzIz71usvnXVSZQTNp8+M+lRh +8PWKatnBnNUCp/tWu3hQdy7uPSPet1ieOzLSg/q7HZEeNE5BXKkoLvXNLC4F +zHcywGvKayi8S/QrFR4X7Rv1b06PDtpQTp7J73Zl8Ka4rcdl3r1j3k3zQpw7 +55Ds2FlKP5FP2p3/q/4Netb6S4r/66NdpHU4yU/4lsBPR719V84OtfGS2pyd +4PMavg5htDwH6x0fybTN5SfaXX6ivTBvY+1X6pPy6/Z5I58X+mfzPj7PM1oe +xto35IuGXf1UjcAHxjjz/U4/ah2Qrwu6JcpVX681V/2XaMdpfYT1I4bDgfG8 +/yTwYJQ38118Wunr9phX1voH62cMhzNiHGCxwB+LfLUsF5fzcX/Gxw4EfibS +p9ZDWD9lOEyMcl3hw2Nado2LD64VeJ/If1ofYf2Y4XBZrFvQ62efU/3TvJfN +Ew2H26IfpfDkahr4ea2bQq4C7+bqqO6P/qXmzbA7gVOdhNYzPFgd/tpNbj1a +X5D0hcL9Ma7UlaMzTyf+nP05eDz6uKDPyzA/di5wihspfHmVXE7pydGlpyt/ +7v7c/Ll4PHo8+XVhXwPbvLXaC8l+XiRwsncXOf2lcbK6anrqJc1P8j0Vobe4 +f4WTHmK+4rgicfTR8iLAxB29nvH58qI4JHF6+ovyKsDEKb0ey9XLFMQtyQOM +lpfZcZ5D9aQ9v1m5uKStG5gl328BTnHjGYX9vj7CxzF9nR3fcwG+N+KxuB9Y +6lpcnNPX7fF9F1s3M+jw+M/f5+OpCQ8NAkdxOrOhsH/H+VuN3zZFM6Tb2W3d +//R9vh7V8sXiLH57s9AddCxw1KcbnFzw+XRfv6Jy9LxIUNcKPBLto9/k4izA +50f761KBr4n6+Q6Bh6K+e1Tgzujf3uPsFI0bejl+RtzuTIF3/1I1jj9bxrPx +5/5wSMTPdIEPinGZOQKHGHeZL/CV0b99IhcXAl890b+ekYtDsp7Lq+n/kQUC +r477WyTj2zhwf+iNcm2BwF+Pdrxe/1mMDywT+HXRf16ci0OxvgmRPxcU5gVG +y6sDsz+vJ0vV5b5ppcBviXV3q2R9Ni7dHz4S71sh8MMxrrRa4IG4jzUCPxjl +ZYOzK1UvXhX1ieZrr66Kybdp/v+j8bw1HoEelXhN1C9aFz8pymO9vlv0j7VO +flWURxqH83q5r2q+PNmYy7MU+SGj5WGK8ihFcaPR8izAPk4oeqNqXh6/3ukZ +tSvGVbfX1eaeVzvjgSjHOwvlxGh8OxrfjEZ3o9HBaHkO4JWubuTyrG4E2Mc1 +hd+iodD1b5OD/2459u+WO/9uPv9382lR3qooLglclNcC9nmdorilxCkL8j4S +VzZ6ROW2l3Nezni+9Xzq+dLTKTB5G+BUt6N2gY/z7OziXL6uizo/X49LHQF1 +Qt6epE4A/iLvj9zCfrV+G3GYfmff+vewit+T6jZ1M/qema/Ts9c1TmrHz79n +5eP+XC9674q4iH/fy8c5it5jI27h32vzcYai99qIG/j33IAnZHUxRe+tnZHV +Kfr32IrOrSguI/RYEGcBLoqLAI8W5yiKawCPFpcoikMI/xbEAYCL6nyAk/85 +IPDt0f9UGPvf1unk8zrJDnhIYB9XL4qbS94k48+iPMVNMX+g132cvSiOzj58 +nLooDl2Ux7B4aBI5kPLF+r7lz2K+WK+neiB9Xy/lj/U6dYzIqaK8h63v0ryg +rzPdntWZAo91dcW3ZXXFwNRN+vrCtC/159M+1B+5MtKd+tmpDlztt9OiHhwU +vNn4tvqztk5sk9g9Pv7Fe4aM5+t0kt17o+A1ivf91wic6E/PKdUB6HVftxKz +Vc8qjBwrqnt4OdLfeidvtU5gVcSfnsuJcT6Fx7m6ggeracQ1Ctv3Yhc7PeLf +a1gT1se6DfVnS/G9VJUz6D+RU47vUzsg8/m6v5Tf1nidr/uri3pE7YL0Xmlx +Hk7uK6A7YF9XW0SHwH/K6uTBA3Tp4zGpTk/p8r2xTo/fSWx2/K5wyeX9E53p +deZNde3d8j1my78Kr4z7zden27jjerGbgH1d1qJoJ+p1X6eV7ET1a4gzWvtC +62B8XczZsX5B4cmuTia1qpfOdHZfem+rX+ipKO86Wh6V8f5x3rE9934G9RvW +39S6EFuvgdxfoN/RzfBo82R8Hyj/frX8zkX2XJKD6kfwu2JcT/j39l6Py/tM +E7jRvff+61hn8Ni/LAft+wOafxlw77FfFf3gtn9ZzoFPvi8leHR4TXyhejPp +NV/nrH6Qx/sDUX76PITW7xPftPFAraeH32z8q06uUxdt4zVaFwh/ct3D0COw +r9+HH+34nW49+n5EoqdH3frV3+G7yzb+PMPZ0Wp3+PiTf7+B/dq8Vqdc/3k0 +NO6W63fE7yRoHTZ2elFe1+ax/3+/Z5d/j/qH0c7Wuk3/XnXyezWe59+jTXmC +4vdqU9sr/OLrqlJcTt/H8HU+N8V8dqvc7+vUk526QGBft57s1AWFehG4iE+B +x5o6uPWZ/ZmXn75O/qaqufK+4rr5KdUw2nmdolfFf834HjkQownj8u/3zY/n +pfZ/8pNUPnu7PdmHCo93dnws+1qj9LF71D8aN0r41HWlulI9/09Ev6PYL0v5 +TY1XeL8j6WOFJzs/JLW6vhSnUf2S6hFVTu8aW11feo9c7U9bd1DOxXP973fz +nM/r+jyutbeL7K7+QjuKPLLMl+WNma8oTwxs5afWrVBfhNzzdWxWLubr0iTf +b+I8ywT2dVg3RH93mZPPWof1odjq+1p8DxH4xZiPW+LiKGVnjyqc3pcs5+r0 +fJ1dUR1Zqp/R9aY8o9ZPTXd1aDvFON9iF9er3F9VEzuVnR5qdnSs39Oy+chO +OT/7e7ua/7X2tH5X0PujrIPnUlxFW/rPW73bxL+3KB1eO/H5e2Y83+3wVQ63 +nH7A5M/sQ73lrLD374Z+cdA1+t7BuwYu3vf671b0yNzfbhvu1fV85n1nXnr4 +fXl/gnmGdv+vo1Y87t8PXB9mH3ziQW+9T/mFdULnR39+/S6XTB0OP3z//i/8 +5sh6wavon2zcKdm6BS/ZcyI3s32wL8aZetO9TQdXzod9efyzz/8LnHZlMA== + + "], {{{ + EdgeForm[], + GrayLevel[8.673617379884035*^-19], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFUz1PVEEUvU9Ddt/bt+9JTUh2G4QEQ7FKQ0UECipDY3Y3a2EBJBCgIfwB +Co1Qac+HfDdGPlR+hNVutcYYC7IsH1a2EM/hXGIxmZkz994559yZ4uv5ibkH +ZvYS4yFGb9bsWWDWxvpbYlbuMDvFfBqZ/QnN+nDejXGB8xTjb8ZsMNCeeJ+f +7SL2TQ51kf8T+8fAG5jLWd3B+keoeY64AvY9GAHWv0w537G/Qd0q5t8YS37H +eaB7H+XNXmDd7zPrYbJl8kedefAaic1WIepV+j9uCFg5L86DWFd8TWwHeSvg +3BOKb9E5U8deKF5NzJ9y0v0Z83toKAE7TMX3JFE+fVvyPfHjRDp4Rnw7lpYN +4OsYbax3gH1AvUPUfRrqDuonP/pacW/XEHOGmFHEzGXkKfUzh2ti957WTf2s +uz/0ddm9vc1KJ/tzEYgP6zOPfai73/SQnpMr95uJenjpb4W8yJW59L3kvL4k +8uwolWc11/QE/Psj8Sj6e6LPrUB51PIW8d058aU3Le/xO2D77i/zeR+13L0B +j7l7j67lGrFXofg+j+V9E3x2Y8VU0fcfqerxvX9MhPO8jbzjSBy7ELcIfBj4 +TF51WI/3kzP5TSN2LCdfD0JxZd1J4FMYN8C3YsXWcOc4zmcjvfuG/5/U+1Xw +3i26Nvau6v+A+r66t/S47TmMYV3WXwM+gPqVSO+OvSp4v/jO6FUndCxkpIE5 +nBfcT/6hkv+jf/8VkXE= + "]], + PolygonBox[CompressedData[" +1:eJwtkr0vQ2EUxk99xH1ve9taSRNdlERj8LGIkYRJLNI2DAYkpAzEP2CRMLFX +fJaJtkL/CBtLRcSk9TVZid/JMTy5zznPec953nPf5PzqdL5JRFKgBczFRHab +ReohkZOIyLACvgmWA5FCVOQV3gAH8D5fpBwWGXIiW55IlvgU3g1ePNOuwICz +msOo9X4DR/AqyLSKnKNdx0Uuqd2nxyBxvk1kz7eccu1RIV7gm6B3ElQ4/0Ov +NfQ05zvQ+8M2OweK5M6on2HGDbWjaGVqutDeQR1tXf16lvuCP6Bn4b2ezar6 +xnXmh7MeerYHjMNv0VPwXzDrzIPO/sZTCf2eOOPZnRbhY+Se2PWPZ7MniUP/ +HlbQJ4ifxXLau+HsrjpDe306m609E9Smfdv9ne47ZnfVnZTg7YH9qykQh49E +jG+AzsC8LPnmXT3p3WvOvOsOcoH9K30D2cC8FfQOzjzqznX3+iaO6V2L2VvR +f/oI36H+wlmsb6IItsPmVX3+Af0mVco= + "]]}]}, { + EdgeForm[], + GrayLevel[0.1298745935818285], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNlkts1FUUxm879jHzn//MFKgJIiiPCiImJhoh9IF16SNIR8FQ7IJENySK +RS1swLoiwMJEKTVRMTw2sDBBI4kUIwsfCZAYHgssoLBpiYDWRI3iwu/Hd4wu +7tw755577jnf+c65/7nrX+l7uTGl9JtGQeOIfrZrTNc43JLSIY15GvUGzzek +c0l780OGDuufJF/XmtIDrdZ5spbSKu3fk6f0Z9X7r0m2UmO25EerPnc47O9p +TumE5hHN49pbr/l7zXXd1SH5TDn5WJPXc5Ln+0J+Vno7NX9XTumC7j/TajvY +XxC+LdT/xeFbTzGla5J/qVHQekzySa2XNVg2p8HrA3ekdF367ZWU+vT/lO45 +otErW59obpNvy+XTBLiV7cs+yRc0e29VYMbd3LtfdlZIf5/mniavJyX/ocn/ +N0u/U3NX2LyZHDPx4tdk+AZWxAeO+/FHOgdks1d3tmvcLflSjVkagvt2rJMR +74Bivdrq9Xs684jOjmo+JRxOZs5BVesb6CmeLZETYjgv+aXM9g6WUvpZ67Xc +rfVNrZ/Xelw6Axq3pHNS8+XMeA/JkWOyuVXzlP7/UjRXRpsdD7E8qL3nZONT ++fO3zr0unU7pDEq2qcl4XpFPS1qNzRsN3oO/L4ln5xV7PTf2g6FPztdF3m9K +PtVofLB7IniHvRfCJneeyrxPbB/HGfBAj/t3tXifs7cC02WRF+KBi7v0/y7N +s5PzQx7h0gzZ6468dzSbK/h5UfLxguX4j5zcMQ+1eA1e5JVYNrf4PLy8LnlJ +fu9oNH6Xm8yjaQXbgkvftNpvfIN3V8KHtqLzTa6xUQs7xN0Wcvj4Y3ASHoEz +PISvxEKM1Aa+vFu1n9fDV+qc3O6p+iy1xvl50Vvg1UTBuSEvcI36RX41cAdz +cnU56pr5QqzrZWPdrbw/UTHmb+XGnP4A7tz5bdy7qNn30hPGqubQ42XH0ROY +oLMlfEN3UfB/QcVxPyz91U3Gmhrb2+j/rOERnIBL3I8fMyMvnaHzUcWY7tW8 +p+C6wQbxXgl+Li6bL/fm7jGdgX89eP5sbj/w58XcdtGDJ8TRHf0ELBcHnvRf +4r6/bDyOBSYjEe/s6HlwGbvwDp6RV7jGGj7Sk2cGx+uhhw45pG9TLxty5/XR +snvSeOR3S+DJXcgmQn4tevFk9Gx6N+8MPL0YdXEo3gtieEg12l9yL5sK7LBD +P4Pr8HxuxfF0VMxpMAanHp0by8yL05qXZObU/NDn3BrpLMzMs4Hol8ui1rD1 +bx0ujR77tXw/nrnGzlbcr85UjFV/wT18m/a7Ssa9PeT0g906u63kmmsPGfEe +LPttGKiaT7fvj/cX3MF8tGo8RzQPy/4HRce/LrfenRXXAOc5y/4XmXW4qzd8 +o6+fi3dxR+b+vjZqqCPq6JhkvxbdB6eiR4A7OaDHg9Gu6Kng/zlvRNH8K9Tc +G5+pxVslewc1Dxf8zcH3xmi8R+cUy6zc3yGdwmC7bGzI3JuoF/JIDtjfqbGy +wdh/VfT9fAdw/yrdVct9R1vuHjYc/XAkcPtL8ztV8/up2n93YP9A2XXLu0Qd +gt+8ir9p6NldZfu9PXx4W2e3lnx+bW7e9ufOFVy5XZsV54X8UOu9wX9m/pOL +aWGPdw0e8ZbRpzbyxmbuy3AEblGDb0q2t2jsZoSMnoxv0yLe4cB4IuxPjzu6 +4wz648E/uNcfa/zhu+B00T24P+7lzCbFuibz+0E9rSi5pj5ToBP6/37N7w/3 +EQv9if/gMBhr5PRufP5dc5/ObSz5LdodeSE/YAOH8QeMX82M84dFx0/sf+Tu +S3yLwdl6+N9dcu1Rd0Px3YoPDZm/Xei/9Lah6G/02uXRq+f/7/uXGh3MzPuL +mp/O3LPORL0fr/rt7Yp+fSt6Bn7zzbg6+nxf1AI1Qf/YEX3pH+9taZU= + "]], + PolygonBox[CompressedData[" +1:eJw1lDlMFQEQhgefwDt4u49CoxBNRIiKFBbGBnyEaIdGeR6gHAWJWpAoSqJW +JlgRobCQQIciqJ0RxQs0sfBIhEZAoyAejTEiiIXGo/D7M7H4szM7/849u6b5 +WOboEjOrBktBU2j2LtvsdJbZ9jyzK+A9egW4GJgtB28jZhnsy5B3pMxKcsxq +0KuRr8L/ALcSXMbeFzNrT5g9jZpt5t1N/FfB7yPobeyv4mbTcP7kmjXCWYDb +jX6dGAfh34Kzj+d+MIxcgH0r34zAfQZeIi/C34jcADYQ/wt1FONvBfkcSOIf +XzPyh5wP2iNek2qrAp3oHaAQ22N8/SVGOb668FGf9G9Vk2qrw9ZGzBBePmik +ntlsz3EA+yz2Kd5/5ts0z0vknM72ng5i74G/il6tpwe9yMPkeC7htd6DOxl6 +nzrpzwTybuy9Of7NLuS+wGehmIr9ALQhn8Q+inyWfAv4tgt9D/Fq8Z0GX6Oe +cyu5d/BMgTg4ga014bWo52dS3tsKeDeQv/H+CJiLeo+L4N7HVor8AnyP+Qw1 +uzJwHHsWqCOnHvyNIY/BeZTrPS0jv6GIzyCFfAisJtcp9MPICzGfqWapGE3o +hehNUd+RIuqfY74DLOvawHPLJLwW5TjOcxx9NuoxJ9Fn0CP/Z4I8Evdc1ZPf +oc9CO/Mr9Fib4HyMesx69Ocxn6Xelef5rqgG1aKZaXaL9Pwu8p3Aa5/HxzX6 +tzfptamnp9D7ibESbpXuA7k/8FvRjmhX3vCumXzm+WYbsSry/LY044nAYyiW +ONNwHxLnScx3VTe2LuEz0mxeg8HAY6lnpfhqwXY+5rPRDlTG/aZ0S6PgQui3 +rZvuDv2GdEu6+TS+dmqf4s5VT7fg81PEb0y3ppyVu961oP9I+i6q5p9Jv2Hd +sv4BQ/ivSfmua8czyGX4r4177pqh/hH6V6in6m1J4LPXzhQj/wMxa6Xt + "]], + PolygonBox[{{4252, 3047, 2462, 1332, 3737}}]}]}, { + EdgeForm[], + GrayLevel[0.2204078728623319], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNl1lsVVUUhs+9t5f23N57ztVE5clqqa0oxBEHQBMnfNAIKpaoSQu0dYrD +gwZaLEMcEieI0FbAIaEOVH0w8KAWojE+CIqJmmAMD/ig+OCAoAWco/6f/yL4 +cLL32Wfttdde61//WufUxffdcG8xSZLrCklS0jjSlCRXTkqSMS2uakyS5/S0 +6Nv8SpKc1JwkayR0QT1JXtb6ubUk+a2aJBOSvUzzBdrXrmeX3vv1jBets6J9 +E9q/RronS26OFps1npxa/wrJ/VyyzuU6a7+eFzT/WuMpBev/SXq2S2Zbg3Tq +/ZwsSQ5p/F3nP5naPmzDDuTP1vcpWvtOz3Kde5neF+j7ZI19jdY/IZ2n6Xub +nhWS2VewTs58WDr/0vpqrXdrz2daP6CzcumYoWe69j6re41L7u5ykszT/F7J +N+m9W9+v0jOr4HFOzPs0duhZVvT6lSX79rV4Z356yLRI/+ai35mzxvxBrW3Q +Wafo+Uy2PV20v4+TzFjJds6XnkcUo+81PyKbP5L9d8nGDzX+Kv/0y4e/aNwz +yfNpiceBmG8q+o6DGmdKV7HJPtkin20Nv83MfKcLpX9Ho8/mXGL+VMlxv6hq +GWQfqDnG92ssRryJ9Se59/4o2eP17UetnSn5bdK5V+eubHQ8Xy0ZA4/WPT8o ++aWaf8G5Nft9qp4D2n+J9s1OrYOYz9X8oPZ+IJ99mfo+3H2lnvdLjv3VWu/S +vNDgtTMlv6jB+sHhAcn0xvv5OnedbNpdNT7A3Q+Saa85ljWNnVp7r8Hxwd7v +A8PI7dP84oKxTw6wp6g9OO2H3D7fEn7uC5/36rkiM/4LVb8jg05swjby5puS +7cbm22p+76v5zA0ln7u+br+QExv1zBA2ntfagGTWlpy7s3Wvg5ETa/W+LvDw +pzA+WvEe/PVtyTFbL9++nRpnC7Xv77B/nd4Lep9SNP579bSXfPdVkfvE+OfE +MTpB9qyX/SdqfEe+uEYxelfj3Lq5aZ7G3/W+TOt/5PZrW/gWv+CfTDJt2r9Z +89Myc9nm8PmQ7GnVfKRg3WAVzIIn4nRW5hghi03gEnzOyuyTfcFJcBE8BIY5 +Z7TovOG+3HUYmUZjkPtx55sKzmXGzpgP6VtP6DpDZ12u/a9k9jf6BiMm48Gp +ZcksI8bwW2qswyNwHH7fH7o5A3/eWDWmHxIGRuWXjYrT6xrn181bu+CEzH75 +TeNjdWNypO77d4YezgTz6D2S+Z6/RKzgH3C+W/Hokk8/z81DyMIJ5ALf4b05 +wY1gHq6dCL69RucNyf5r68bF9vAbsc2Db4f1vrPRPvu8anvIxR2xTv4w7ggZ +4rYj1odiHXu2hX749tbUPMPaIvmmXHGc98LjqXHcEZg9Grv24LrBsA0sga9K +5Fda8hz5S0J3S+HYt6N+TUOGWL/S4HhPyTxvzYzTibKxNDNwB845sy0wvDV4 +AD6Az1oDe9jNHnJwMGTh9ptzY3hU/rtL8yPSv04+nJY5l++uuQ5vD37Gxs7I +BXgR3XBjMbAPz/fHnBp0aWbem1x3je2LOr4l7MF+MAIX7QufpeE36mZX1MVF +TeZp9hyuOs+paeTZN8HJZ9XMH59SC7S2pORcqtVtf1XjW6m5CV5aHLX1vxqq +9Ucq5s07NB9oNscPsNbs3NqpcWPFtQS+ArMtke+3lm3LG/r+T7NxNK7zDmu+ +qe5aRH5Rj7al7hV4Zx/2s3de6toEF7/JGc3e90TkILlIzQdb2Nyj7/06r1Xf +vsrNu9RMYkvciW93k/mLeLEGJliHQx4om0fo76ZOsl7iCV8RU/wx2GyfzAj+ +Ie+oSQS6oLMWpq6jxAYO7gx/bqoaV+Bra8Qd7KEnj9qBvtHQeahsbGPj7sy2 +zZaO4bpjSmzhFfpJ6hI1uitqzX+4i55npNG8AO/zHd+AH2oyNeooxrgruQZf +LYge9b4G9yFgeVLF+U/ug9v9kTsv6T7nSf7F3DrwG/e9JXdsx3M/zG+su4dC +npr5YfRdX+e2B1uIzUjuew3njs+eiBH1Fj34EV4GLx9n0ceVnfPkJ3l6T83v +vdED4FdyAt+urhtbG6I/4i5825Db/vW5+7090f/cnjsWJ1ctR+zQg/7DZeML +3oNvqQX4biD8f2dumZaqeXR69GzUk0MR377gJ3SujZo2LfiE+4NB9rAX3OLD +tSEDzi6N/nMgaiDnksud0UuD+cHAPbKzQx57yS1sBhNwMfm7JOoRetCxODAM +hsAS2CIvqUPsxa7usA1eXRS8NN5krkMHtYscw0Zw2P2//r87OO1bcrdiW5vj +P6ij5rOI14roHeGZx6MOzo11MN8f/1PgpCl63Wpw3Xnad1LmOk2PQP1dFj1H +R9wRX9HntqbHereusJO+gzqE38n/NdFLMC6POVjmn4Mc5A6rw+esrYh1eH0s +ei320JNMRO0eCt8ujT4Qexj7Yt4R8/b43hN19gbd8Rnpub7u2C0N+aNyyPTG +Onu2R29JrNdELpAT5NDh8rG8aQsuWhj/d/znrYq+g7hTw4jv1KrtH/lfjzEc +810N7q/gz7HgVnjiHcX5UGrs8I9Kr7M39/2xEez1RF8yP/zGHceil1oSd+yJ +uoY8fAvmwNu/AyD/qw== + "]], + PolygonBox[CompressedData[" +1:eJwllUtoVVcUhve96Y33nJxz7p20OvIRHyU+qDVUBR8DKy1UodEIAS018dFq +8DGoWKNpBkoH9UWNibliB75tJwWFVi2W0oEKIipGRCEdVB1EwZRGo7YV6/fz +DxbnX3vt9dr7X/uMWbFx8YZ8CKEVeQM5UAphGwt11SFUwGOyEA6jn8A4FnwT +OYe+qRBCL/hMEkIbti3I85T1MvZiCFvx/wf/q0gTuAf7m+yfwf5ZuRA+qAph +BPt7Ss41HzkLvo69g/gNUQh7iVXB5z76e+Q7CF7E2gHiV/C/wd7vyrYdiUP4 +GXyUGPXVrkm1KaZid+PzMfbZiWvfh/8o8s8i5ilwQPLoz1L38jv6nNQ5lOtT +YvQSq4oYp/KuYTH4OP778s55DPv/NSFMRPqwL6OHRmK0EO8BMT4Df4J8y/7f +WJuL72lirGHfAPs7wGvBDfgX+f7FWiH2mvBsZAQ+TcTqJMYtaqvNfDedrI0m +dhc1TKj2mevsG4k5wHmvo+cl4P2steW9pxs8RIxH6N/j/zX2L4jxN3gjMR+D +D5L/EvWcH0Z+6pjKnm7weezvk7sdW4zspbZVrI0Gj8enA/0G8hK8S3dJzD3o +L/DZTy3d1LQefEixI9dXx/cZa53gLtUMrsV/R2TfduTfkrkljoqrqu3H2Get +Gv/gexF9LnvzyK2S704cEpdakK3iDnozeDj+/8XmkGpsx78/dq7lyCB4LPJV +0T02lM0lcUBcWIF/m/bgN7/Kd6i7vA3+UnuRkZE53SU+l81t3WEPOCv7LH9B +T8F3iNWH/RW9NBNnPXfQX+WZmZm4t+rYXFCPbeSvRD575X0SuQfVPgXpJOZQ +wXf8FP9x+Pbj82HkO3oYO6dyqceF4kjRHBFX6hJzVTOt2V6O3132txRdozgn +7s0jx0T2bsZ+ucZcmVN0rpVIbeScfcR8Quz79HM4MQfEhaf4r8U2KjFWza0l +c0BcGET/HH2N/Avm0HNs89i/m/wLuOML2IrouaI5NIT915JterP0dmnmNfvq +cQH95FLPvjgtbk9DPz7MM7AJ/A1rP+R9hzvBq1PP8jLi15PrncyzM8ieF+iT +0B/nfGeTwUcS96oZXEotJzKfld4MvR0jE/emntSb3hy9PTnOvDHxWTdH5rLO +/Cy4UuPZai34rbkQ+6715twreV01/AneEpuj4qbu4O3Ub696mgDegP2nyLOn +N2dq5l50R+9m7lG9nqSecegDiWdHb+Y14o/PbNM/Qv+K3sRvk2ZsOPqqGnNC +XNCMbE/d2xXkI+xvZf436E3U27gk9ezozdTbWZ96NnQn0zn/1xpy6Eo= + "]], + + PolygonBox[{{3787, 1388, 2488, 2969, 4257}, {4256, 3060, + 2486, 1386, 3785}}]}]}, { + EdgeForm[], + GrayLevel[0.3109411521428353], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmFuMltUVhj/m9P8z8x8+1KbYJrV4UVohFRUFhKZia4rMcNEDBZo2qaig +rcPU9JRwMmkrrU2KRRQ59AIaARlIpBcw2DSglIvCJFqFioonYCBpUgcjByne +9H36vsSLb9b+91577bXX4V1rz9gF/d9a3FIUxfpRRdEq+iX9mafxlzWe1KF5 +fZc13iq6Rd9XtHa6XhT3txXFsOguzT3HfGHeDeE/XPEa/OfE+7bGMzXfK/mv +avxyi+mRjE+3eTwseiH8txem72Q8XbKu13e+8Dkbc9Yy6XFZcs/Wzcsezvy5 +fn+o+bsaRfGu5nZ0WHZvZ1Gsq1rGr8XTorlzohfEN1XyqrWiWKS1X2nvx9Jt +suht+l7RuDf3HSs9PmpYrweaRbFG+6+RnLWi59usBzq8J3pC3/TCuu/rsP7Q +/R3e81DDey42PMdaj3jK0rRRs62x+RnRttJ3nyf6PZ39ZntRbBbPG+0eX9Se +RRX/ZvyMeG4V/7NN2wBbTNN8n867KJmXGvbVX/T9LfdFb+6MP/DTS5p/vd3z +3IV978ae7NuVGNjRpbluyRZvj/bv1vws0S9I7y2i40T3dHj+qsKU389rbTBj +5pGLrndrvF1rP263L3bGj+jPeIx8+armb2h17BK3y3X3ZRXPzek0D/zENTxz +R3nu2uxdqrnx2btZuv9Ad3iAu4lO6nKsPFqa/4LsPFd0d/Yc0Nq4in3D7xsi +Z674d0r2W+L/jsZPi+/bpWPiG4XjbKp4p+g7Ir67OsyzQ+N/VS0XmV+ten1s +YocY6kn8oxdn3FF1rrJ2X2kfnq45Bw9VHK/c8bpO67hGX13jR1ocF5OSRzXF +x2bZuRS9UesjFef8uND/ime01p4Rz6eatuf8YAXrW8MD3ZbxKvl7tO7xRN02 +3xnfba54TE6trXgPWLFH4/XiX6dvUOO9+paLp0X7/6q5aQ3f94Pc+WCr4xU/ +/r70HR8rfb9TVd/xNfl0o/w4Q3MvVm1fbHtUNtogOqbh+AZDxkq3/+huD0v2 +SNM2fi12viT+58R/Y8MxDbZcLf6u0jnQJ3pvh/OOHCF/yBnynfzG9/h9qe60 +JPfi/KUZ97d6fnHiiBgmXsG9hRXncr10njRKxw72P1fYNnvbjKVgLGPyaJXu +/Ycu+xPZgzmLMeeuC1ahH1g2RXf8t/b31Y3J5P/nk2urK/bXwlbnGDoSL9wL +bN8b+egNNoAR04IVFyKfeyzKXbATY2xETMFDvi+LHOxxrOKYQE/02iN6OThA +DIEFm0vjzZD8sqni+VeCV5yH/eu61yzRJ3WvoeQ8cUtsfzH5+yfZ6Zhi5U7Z +qkffxM5P1qHE82dK0/E12/hg7Px1na3jipaa431TdFgheqDNNn9M8n+nb4Lk +LhNd3O1cnFhazijp9kKnMQj82a/xn7sTf6KPd1kn7ox8bEXs4xfinxwil8j/ +Z8X/W/GP7zQ2M09+gSPgybn4a3ni4Uyb/Y2v72s6D5ZLnz8mf8ljcm598GKf +eGaLHmi6/uHbz+nu1dK5f7/oj5r2/3U1xwixAvZtaxpvJtQs69bUu6dSQ9ck +1/s7bONTTdtjWPTq4A84dL5mfH+idA0H18emzk6KTHKa3CZPf1Z3nbm57th7 +PXl6T9Prv9B8IxgIFpLf5Dl+7Wta97rok6VrwFOlYxZ9iP9m07Rbel3TtH9q +Gr+k8XzwROOfUOti/783XTP3N237+emFFjWdj/QFDzadP9Rq+oiTqb/0SqeT +7/hwRfxIrDEmR3e1mR+MfFq6zqfvEX2xaR2Ga/YBvpij+ffBfY0v1Y3t6Iqe +YCFj1qAP5w7IRSdikBjFR+DkrqpxED3pR6ht5Htf+gn88Xx6KeRDZ6d/oFb1 +Zkx9PCq+C4V9i4/Rgbp0NvE8QXYZoPaS+zWf+xZ+UOzf3G28/7DuuCCuqVMj +2TtAnkQ+vQmYADZsTB/LXegBkT9wZRx+cJe9YMh304/Rl3264fp1pOa+jRjc +onNPBcPIr2PBXrC/WbrnG116fX146IP+WXG8Pqh7zOl2Tbut9Pwtddf2w7kL ++AeW0D8g+1jOIx42BH/2ZJ7fYMLh9Ab4h334aDi1ib09iX9y483o0pbxGxWv +YYd5qUHbq/YX+AKuLwy296ZfhgeZ1KcrvV9PxtvTa7N/X/picHuAnihyj1e8 +Bz2o7QtS3w8lHv5RcewSI7+pe24k899XPNzU7X1r8zYBJ2d2ui8Yib7T8774 +Zd4OvCHo9RamJmOnR2Irzm+veg81aSjxhF2wD7ixNb03PfjZ9GP4697gJHiJ +PXqCU2AHGHKV+PvTV9BfgCPgyeN1nzGU2Fsj3W/vsv3ITXzB/Vdqvr3btjvR +9HvmZNN1i/q1oDQ2gBHkKTiLHuDJ0tJ5s0T0g/RC9EQvBPPB/hV5c/H2mp2c +JadXp6+jHoFRvB3I+ZG64wisxV7Y7frEztzo3BcbkKvUHOonNfv9uuPup3X3 +Rn3p4bl3R7fvfm3pOv3Z0rYnRtlzPGN8Aj2eOEankxXnGjIZ94Weyjx0OLlA +nuA74pgYPB6ZhxJfzC8JP/KGI4fxKun0TfnjZdn+TGoZNQ0b3Bk7EFMLEks3 +NeyXiaIbtfcW/Ci6Kn3DmvSG/XnzPJo3LG/ZGVW/GdCnR7yzuvyWoHciRsEv +zrwj56L7jPBvSw9PXuCHniv9rWQc7faet/PmI0YfKo3T1DH80Zf+mTMuJxfG +SKeV9Og15/DHwU/07o8f6elWRj/uTf2YHvufjA3ppclL4qEqfSpdvidzYAXz +bdJxoMtvRXqHg+mJOWdxzqKPo4eiDiCbOEBvej7sgD2oG3d3OQcGW10bhvKW +oyacbqbeps7+sOH+6Z6G313Yb7Fs85FkTO76BMO2p55hy84u2xM8wZ/4n76Q +ukOP9bWG9ac3HAwmcw9qNnl2tul+jP7u//+jabENh2JjahV23qVz3ul0rNEX +b0rPTC9AbViYs4k7MA3s5l0BVkOnRs7yvMWIO3J8cv4fwv8DwHj8A/4PBKtZ +Y25WauWUyCEm+M2Yt+ju4Cq6D0Z/MKM3WMA6uYOe2Kc3NjrUsJ83le5B3ksf +Qkxsz5sZPabmfQ2+g/P4l7fQzGA+77mDeT+SJz3p+bHT6LxHwMkT6aNW130n +3hP/A6wdrk4= + "]], + PolygonBox[CompressedData[" +1:eJwtlW1ollUYx4/PnNtzP89938dZNAsyP1jBhGmZlhK1SpquPvSybBFUUzPN +bURRlNSHUNNALV9Ssw8umrNNan1oagTTEWUFGZlGEkHFBhJuUm6+9KXfn78f +Lu7/uV7+5zrXuc51T2/teLi9EEJ4FZmIXF8OYT7f8yxW5CG8mFp/uCKEl8Df +ZSH0ErCzOoRHYwjfJCEkyN2s70G2omsuhrCAmFXEbyVmMgSLWb8LnovvBaQH +34+RqsQ64buQ8cx734H/GHha2Vzj6FbCNwzHcvDNVSFMZa9K7Ddg343uGvy3 +wNVbCqFrUgizyKMOXQ+2N8m/htiLmbl0xgvgD/E9gt9z+J9i/zOsTyEN6BqR +T9ijEc6j2NaA/4WjQPx04v8Bl9H1E3sQScGPRNdmIetD5DuH2IGiuXchXeia +iL0N+z7we3BcBd8A65zYSew9EXm+kpqQ84myz9bPeedg/wXb13A2qN7wXhdd +i0twXgveg+0kPseqfIbZ4NPoWvH/C/m96DvTXVUiQ+RwoODzD4P/RjrAX7Bn +IXUtN+NfX3RN3wJ3o9sNrkM3iv9h4l9gfQ68Ct3+km3n4G8GP5l47xTdajh7 +Cr6TmdR/Qea9jqM7y1mbOcNlzrIHvsfArdFn62a9FPxa9F2oB4bgWgT3DPY4 +WW19O/Yv4foM/w5wPfyf4vsTulH4F+M/jn8TuQwqJ3K+H/5O6p2B5+Pfj/8Z +an87/hOQGuxfobsXWw0+jaw/wn8K+DdkKXv1wXUJ37XkVB/cI+t0VnLoZc82 +/DvBr6funcvwvwGekJpbNVfti4lrqNrpTTXIXuEzXIT/8eja6M6WgFPsa7B3 +ITeC9+fuLdWwG/wUOQ8RO4w8DV5LTG3Rb/Q8fGPI1KJ1sukOdBctcPxA/HHW +D2H7HP56+OeR33rWvdV+w1l076tGqlU7tV1Z8l1vuxKj2CWst+NbYn2Q9Xqk +FtxAToPk1oJ9J/ZOOE5Tq1+RFvafHP029GZidI1V6z5iZhO7KfGb1VtVj+6N +fjs96A9F37nuXmdcxzrmvmvdYQ7ehO7ZCp9xM3h76lmlN7kDvAFdHfZp2N8G +j5RdG9VUtT2G/Ffwnt+Cr87dG4vEAV4e3bvqyWXgW+H8scozQ7Pjmcx3oxmm +WdYW3bt3sl4Nbkvdi3ozeju7omulnJX7Lalnszjnst4RXWvlrNw1gzSLVNMn +cs8QzZL32fNn9tuSOlfN6HfALyNTNNuIfwU8mrpXpRtJ/XYOlDxb9YbGNB+u +3LV6fGHmWGC4L/Ps6Us8azSDZmW+O/W0enuD/gdwPADHzKJn1weJZ5tm2E2p +e1s9o94ZyF2bBznTEfC8sntJb1Zvd2P0XelN6G1o5mv2r8D/j9yza2PivTTD +RnLPLr3Zs7lzGUs8q5XT95nPpX+e/n1/5ubSnevuazPXUj2sXlbPqnc1E/aW +PZuaEs8azajB3LlrZh7NPcurE//7NNMr8d9W9OzXG/sfFVUE7A== + "]], + PolygonBox[{{4068, 1640, 2653, 2867, 4251}}]}]}, { + EdgeForm[], + GrayLevel[0.40147443142333866`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmG2QlXUZxp895zlnz9lznvM8LuCMsrwty1szKRZBfQiakd38YGZNqAGx +jaCkyUsyooHSpC1aDQUKzBSWLsurYs1U1AwEaAHjF+1t6pv1RbYPaywgaBZo +16/rZvzw3//L83+5X677uu+zU+5e88XVpSRJ1rYlSVl9SX9urybJUS1uSLWm +Nl7j1Znm2tPbTJI3a0lyj9qI1he3+ftsnR3UeLbGd2i8WPs26uz0IkkWaH2q +2q1ar+nc3or33ad3HtV7lzWe3JEkw2ob9P3veZJ8VXuOt5JkRbzzvs7O1x3f +VOtRG1C7rLPdWu/TPT/Svpe07xup18dqfZNk/q/Gj6nvLHnMuYc1f1vj9ep3 +av0ttc+0Wecjaks0/knIxZsjsQcZ9mg+R+Mvazxb8t6o9pTe/pL0Xa+3e6Tv +cMX3V7Rvq2RL1atLVun7vWrv645tVX9Hzn/Uk+QLHbZFj2QaVL9Q9zzYLn3U +zmv/IZ07pv3nNB5tc/9u4rfZ9wG+qflubJ3pvqbawlgbjfX3tDaq9qTWd+nO +Z0rW54LefUjzt9W/pn6c2sdLtuWVsPNQm9fu0vg/0nG32k2a13VXp/Z/TOPd +be7vTOzLvpp9drJqvy3W+n759YLGB2WztrJxBoa4CwwtSoyd7bq/rv457VlX +9V7WOlKvT1B7IvV+cHJ93b56QLb7hear1K9Ve0x7DjeN5e/p/Ba9cbFs3+CX +We2270q1r2TGwqe0f16792zSfH67fTYQMUAsvJE7Ds7UPE91/umqbYWdwAq2 +wr7/TowZ/DG+bFtgA3x7JTE2H6/4/jsK43lRYfvzLjgBX9+v+J0/q81IfSf2 +QMf5Gh8vGReMv5XZd7dJ3lOp9dkU/sGX+OgR7bmkPbc0bZNLETuzw5fE8qaw +F+unU4+xGz7Dpthznmy/vGa8IicyYgfsx7vEwDLJ/nrNWOWeRyu+izggXnhn +qGKO4P3RinEAt+CfoZpjYHnh8d2F9boU9w9kluc7Ed8bK75zc82xRxzAD09U +bNf+8AH2hwcmlB3jP2gkycSGZX1Feg01zFWrm7b5Ad2/vWS+gR8e0HqP1vdm +5omR4JMtOvdS3XrDP/gWm4BNOBau/bm+b22Y7z6hvr/DeLpfd07Rnbsz8xAx +xFvwRGfDXJFI/xP61hv9yyVzbLlsHFzFw4lY36mzv27YVy+qbdN4hvpjLcv4 +W/Vr9e5H9O6LoSNvgl14HF+8lzkW1qb220Gt79O9Q+p7280h6DotNf7B56TU +WAJvn23a95O1f4/0fL5sn3aVHRfYv7uwn85l9hH+QX78g592sD81V4BP8gT2 +O6G+OzW2ibuzkusGtYGa+Wdmal3ALZgFV/A1eL2ot+ZVrTOc2JXZno8X5s13 +Q4albc4PzI/p7ndkvxt1/8KWsdjbsh2x5+Hcvv1Z3fKhIzogf671htrva+Zy +bMDd1+nss7rnoM5e0rmLajfUbGuwTAxODT5HhrOZfTGq/kzm/LJBMh9o+Z2D +LevRH/n3L6nl4Bs+wBd9LedQ8Iz+cBO+gKuJXfQivuA2fAuG+d4VeybEGN/B +Q+AP7OFbMI5eIxVzHOc/17R/8TPcDq9TRzxYdS5gfqFmu/LOnPAJvnsmZGT8 +Qst4+FvTGFkQOp7XuZtrnh+qOw7xB347EjUL8Xdb1Dm7tOf2DnPE0qgD2Ptt +rRcN8wffr2l4D/5aGvZH1vFxJ2fo0Z1vS2K8qzB/vBn5glwBP8AVO6OuOKy7 +d+iNuXWfPR4xu0zr6zuc2z7Ibduy/Pw16TyR3KjxNrUx5J7M9j4aWFqmc3Ma +rteITfwH7rdErgL/yyLfkfewF3YDX6/qbKPD80pqLmb/ndLlx1q7q3BsgK17 +1ffnzmX7Ws4DYPZK4AQ/ouOYiOePRq0xErwIfqmZKsFz1Aw90S+MMXL0hmzk +lIuRL8jZh8In5K5/Vhwj1BZw+9jMObMSOYl8+FbFGCYPMCcXnNKdp6vmPvIG +mOf+d9odI+Q78vDlqCGvL1w3jC8cu88Hzidr7x9S81KBfXTmmsK4ey5wTpxR +X8Kt+O21qLX6Ctd+1ICvyJ6f19nfqd+j9f3yxW8K59flYdt/5Y6Zs7lrublV +x0eeO48W6vflXt8b2BmM3ED+eDJqM2rIT9ZdR9LAIO+MyV2rd+b2Gb77tOw6 +VW/9MTWfw5l9wZv4eUX4GgwSX0ciPsF5f2aegIPgjZdz7zmh/le564Kjws9Y +5Na743JjNo0aA//gJ86SY4klsIseG0IX7n427qc/Xf1wzDd472TcQz64NrXt +4JibC9uIOCP3PxW1yqyot8hl+6XDdI1XSadW7ho4y127MiYnITs1MXXW/tw2 +OqD+r02/DzdfDh8gM7KcDDmpe7A5+XJF5Mh7CtcE5Gq4g3y2Oep6MAKusDM1 +8eKreS1q7v/nbq3/KXVOJIYG4ux1heNnODMe769aLr6RR8gxw7nXz6g/l7sO +H83NAZwBy8NN1xjUI8jQEbXoGs1/qX2r1a8LbJ2P3z7UEMQ7a+vi98vK9MPf +N9TpD4XfN0a9j14zIpdiB7iY/Ims4HduYBgfdMXvAvDE3Udatk09ZAMXYIJ4 +/25mmZc0zQ3ro3allpgaOKdWhV/gHfgK+eEB+IZcBudQ80wPOxMfU+LsYGZe +uK/pmO+JmurawB11EnXltMDYmOAD6hjqyu64k/smxZ18647xC5kxuqbp75OD +fw40be/+iKerv8/2ZNbr603z9IKosZBjWrwFn+G7UvwuQWf0xSfkEvwCpnpi +Pzy3K+KJuJoVumzN/Nvwh5nzVVfItiPzb8ztmdcmhL/Qe1zUjsQ+b5EjTgU3 +zwwerwQesOPMeGso/q8wGL9xOqMW/Gnm+1dK382Zzy4K3c+H/thlUsiGzeA/ +bAJfgm04k1x0IWqSvLCuOzPz/cQ4+z8wXByp + "]], + PolygonBox[CompressedData[" +1:eJwtlVlsVVUUhnfbe8u5t+f0HCiYgIjghKgBHxTwwUhCW32xohE1GotiAUFa +QAKY0moUcUxAxkQrQ2npwKBGQCMJUiQafXBMTEycYqT1AaTMEYfo9+f34c/5 +11lrr7322mutPW72onuaSkMI60EOPBGHcCXkCtCRhNAFroaPB03oFoEJ8GtB +L7pG5GtytpHtMTBYEsJc5H74cnC2LISBfAiPpiHMxD6P7lXk45UhFLMQStHv +i/AN70m81zfgbvSbiiHsrwhhyZAQJhdCGAO/kX8vYf8F2Mu/NRXm9fi8A//n +8dcC/471ET4PccAO9I/B38f2QIV9TQWzM+v2sN/1rH0HnGDtP/h4hli2g8vR +jQMLYp9ZZ78OLI6dI+XqKrAQeR8YzPuML6AbAPNyzolyM4f9OiPHpNgS7D9H +XwXWKd/EfBrbM6AbXge+RDcWtKO/Afva8hCmgG7yeRD9v9guJT8T8XcgdR70 +bz/8ImtW5hyTYlNOlVvd4S50pcoXaz9GrkZ3C/I01jaDJvRlArlo1Xkz38Vm +8j+l4DvJkNvgjTov5xrGnjvZK4JX4Gsb68fkfAadZSj6HSW2qYLfxb+vcq65 +Tmwfxl89/o+x/jg52s2eR/A/n/O2wRvBu5FrRrVTAw5j145cC5+Bv69zrslu +/O1MfDf6J91Z5GXwV9h/FXx34rt8E4xE/5FiYq+D+PwQ3qsahG8Gu+DnVNM5 +14hqpZZ/nyBfIBdTVUvE/zPxtpQ55luxmcV5+1g/mrU1lc71StYvQ96RuLaU +A+ViEHkx/Dn0LfBTYAnyb8h78BWDAufvQh5OfEPZs499LsEmhY9IrVOOlesO +/nWRz1PEtRV+E9/RyHMi53gL/kfnfEeP4/sHsIXY30B3P/YXiWlj3jX0ILr1 +iWu1A/9r4EfZY0a572Qh9jFyO7odrKmEH1MNlDmnR5CrM9+Vamo6/HnVF/6a +wR/wX7H5m1wtwH4Avg2btcTcTcyd8Er8teV85gz5x9S1+gj7/QRvyjxLtuO/ +P/YM0CzQHd0eO+fKvWbSCvhM7F+P3FPqLfWQekk92BPbh3ypZxvUu+yxgfgm +Y9+VOmbF/iTy78gDxPkZqMW+GXzA+lXoLwNbsT0Qu5eK4GXkYZztIvYvRq4Z +3bnu/i/40/CTqX2XIJ+Af4/teeprouYZOMy/unLfge7iF867Ku+auVPnwf7Z +gntzNbgAbwUN8EngvQr7lC/1tGJPQHXkM9yG/lPk6fDTkWe2Zrd64N7YPaRe +0h2uhq/Ax8mi96rRDCj6n7h8XEoOJwzxTByZeeZq9urfKORB7McWnTvlpCf1 +rFPOlfskdW39CRpT96h6VTnog+fwsbfUd3offF7s3KvGVesbQCd3OwJ5E/xc +wWfU2ZTTzYl7STayjYllGvozkXOyMfFazWzN7gb2PJ73TDmj9y9136uGVcs7 +U9eKala125t61mimfIs8qeg3SW+R3jT1uHpdb9hTid9MvZ2aCSeRh2KbgqOR +Z26mHs+759R7utt69KP+v+PWxLWkGBVrXey3TTWiWpmVeLZp5terljO/3fK/ +Ej488VukGValtx0fS8vd0+pt1aRqU/9OpZ75mv2KKUXuT93LmimaLfNjv2V6 +U/W2KreHiq5F5Xhu5lmpmT6A7QOZZ5HuVHf7UOze0UzSbNIM0iwaxr/XEs+2 +m/HZH3nGLS/6TdFbopzMQt7Nd3zBNmsTr9VM1Wxdh+3bBc8T2SgHykUF/9+C +/wdzATiz + "]], + + PolygonBox[{{4254, 3056, 2476, 1374, 3773}, {3775, 1376, + 2478, 2959, 4255}}]}]}, { + EdgeForm[], + GrayLevel[0.4920077107038421], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmG1sleUZx5+eyuk5Pc/znBPpHHbsg1t4kUoDxhFAaLEtLSjUzYmZUAXU +AW4MXQaInwBZijW6ZV8kIi9aVKS0CVAwcQ7qxpZtJlMX35YlA3yZH+CDS0ay +MV22/4//RbYPT+773Pd1X/f1+r+u+1x330N3bCgkSXKgLknqNR7SOEcLD2h+ +viFJTpWS5ANtPFxLkuOa12dJMl3rd2rtQdFs0vp/NE5Pk2SG9tfoqxOPa+tN +84rmr1eS5LflJHkqzvXF2U90z42iL4hm1rgk+b3mT2ntDY0n497Hi753kta7 +df6nop2ps6PaG9A3od7yDtVZ5pclR594tUqudtEv0PclrT+t+7c3JsmResvR +I557xbtLtJ36Jun8tyXnD0VTEe17eZJs1vq7GptDZnR6TDQLGi3fJdH9U99M +zfvFa494LNVd70mG2fp9qJoka7VXCR33aO0dzadrvFiy7tjg3+K5pWyZRnV2 +otYuyc4Paz6ic4c0v7rsM3/VXlHzFzW/V3sXC16brPkm0R/TeKvom8o+w943 +9Hub1m/S2FHvO7H/utT+3qv1z7T+QNH80H+8vicL/o3N4PP3kvdYJzbwz9Q6 +2+8azVeI54+ly3Nl+5LYeSP8iM4zIjaIkZkxPywb3arzh2XndZlpl2X23U7t +fz2x/bH9F4llaQq9Nkr+o6JZLPoR0Q/rm6Zvqb4l+p7WXn+decFnrsY5+rZq +bXbMG/BX1XH3x9R2faJo27LPmaL2fi2aFo2tufn3NthPxGN38P9JzIlP4pX7 +2zX/g86u1nx31fF4C/dq/6v6dkU8txHfssO6xLoyR1/GnpgzLor5QcmxUPOX +cscw88+1vltxv172Ga35Hu7DBm/LL9P1nS3Zru2RFx2ZZeiT7jel9ufazPot +DRsuiTlyol9P6EsugwWLCo7ftyqO4YGibXiPzrZo/4YGY8TicaYn9s5UHW9/ +Cf+3Nnj/vjr7kNjAB/Aip87Vmxf78GiNe/F7S/B/SzK8KRlO63cH94vfoGh2 +Fu0PfLEtfI/f0WORvvEFj/zGh7tCZ/S9oj9nr8QNdntSNpqsc0ty5z2xgZwD +me86IVt+IHnOSZ4LOvOm5h9q3l42/8khDziBX/H/91Lj2HPi8WxuTNxNvKX2 +4Yeat+e2xSrRvKb1Dp07qvk8jcPkVuI8JUdv0e9n6m0Dfnfo968a7GP0wBbo +sinyF/kZvxzz68R3lWjadM8syb5KuPdpyZgL9uKfa3PLfjjzfdwDlvYp/vZJ +t3EaN2jvPDgtPmPi8a+ysW9+wfi2NnE+fxI4hv/BC2JgWtEyIcfXxCfROAWs +KFkW9NmnGGoFfzU25841cm5H1AfyAj+8X7YvwH+wn5w/q/0zgS3YlfhaHXY6 +H7b6eJx5wWeq+B+8SnLmttOEsAN6D4bux6uOvxNV64BdwMblqePpUu48/HPJ +NaEvaiV5Tyx0Rzyw3hy1sjnkxD43Y2+N303sB+oBMoBf6LSiZvzG98iFzleV +rc93ZP+pFd89IXyNXmfiLuxwZ+o8uJA7XjmPPWbXjIXdufmB7/DcLPpR0d8m +/5wS/3+UjfVgPLGI/tRAfEYM4vu1UROx62jYcUxydTaa79yCa9P9kmdHg+1E +TCBjx//1Dx1hE+o9df/nku3R1H1Hb9S75qC5ED5Flx26a7DsHAOrHikZr14Q +n9Va20//kBnf2zSeFN+VWt+n9ZszY+hcjRtS591LmeMRe8F/fWofHdB6d838 +F9ZcZy9GnG8RzQl6BtHcrb0pmr+qmHlE68fBncipSRE/yHUkzoNJu6K+VMKu +2BMMZSRPwMGzEWPrIleu0HUEDXj5dtm02JM9bDsxc2zNT50rp8MHr6fG3SHJ +eVLzhZqPZo6f82Fncvli9Da/EE2XxmOimVN0vhFjCzPj5o3S+6C+Qfl9UOPS +mnMd7FkW/cBdGjujTlGvyNG6sMk5yb66bBvcELWAPD6le7t17/HAns9CtjGt +94DPWj8r3XsrjuWh3LX1UO78IxepxfQ2XVFbwew9YXN6g9nRSxB3HwXdRulx +d8W9FzYGK7Dz9bmxhBpLvemP3gZMZ96buoZ/HHd9FDUdnkfizEXJ/DPx3dbo +3P6R7llecT80nLqn+FvmPmgkaiK9HXm0NnX/u6niGILHxor5DOj8+oox4/54 +A9BLU4eoRw+m/j0UmAPWDgf/lrhrWnzDgd1/ym2bRanzayB6qnLBuUPdoZei +bnbrnu1R2/Hp/sjBsdy5QY5kmi/W1yT6eeRFo3tx+vCe3HxnZe596YEbctfC +4agvz5ed87PCt+AD/kWfw1E3yWHof5C656Y2PZS6/lCHkG1fZmx6Veu9ud8e ++zNjHxhYzh0PXfGmuC13n7cgMxZw1/dT9+LU38WatxTNn7h/N94dv6k6N4i3 +Van7DOKvK3NP1x59HTqcCB3nBi7dnho7wJBK1ClsT02/PXf9GMxse2o/69/M +3UO8qPU7NO+k78/8XpkRb5bHGiwr9ZH68U5gC/GwI/wOVrA2JWo3fsVuxEVr +YPieoIeGvp/+bzg3XuOXau5z3Mdd38rdK7ycuafYG/wvvxcbXPOoVdSsZYFX ++6K+09N1R19HfoNB4A/94/ToOTsaXXuoO/Svp6M/2BEyc9czVeveW3NPRhy9 +X3XPAc0XVb97flmxXL8r+92LfPdmxr2VmWMJm+Nr4n176NgS+cMaNgCj8G2e +ez4WNRYsJWYbc2PvyYgfbIW926Jm3RW1BQwkNogF6InzNPc6GIksm0OeWm5s +B+OpQ+i9t+p86oj/BLbUnHNbNZZyywPGF3PTvBZvMuIHLKH37o+3APnUFnq9 +kDkOiceD0b8Sg0PR36DjUGa/43/yZl7hfzk9P/TiG4k8uKLnmsBnehX6/KZ4 +p4G3pYLzjnXeb8QFfT775Clz4pG4ALdbU4/0nvwXsTN0mRl9DXWId0Zf5Dtx +xflF8e54PN4ePfHOQIb+wEP4TI5+clrunp7a9ZXcfTMxvFzjp/EuXVNz7oPz +4Ce53hQ8twW2sk6+XxN93ROZ9QKH6DGR65XoQelFV4j3tsxnwdGtmeWk5vRn +thH/SezMfNfieP9ODFtdrv9hc/Sg5lHnPq+6PvD/ELG5PeJzc8k2QfdnI6fI +LXTaGnUBO1J3wQ1ikxgFq3pS01BbiI9jUafGZ+4jmzRuycyLegh2YmvqNXVu +ZbwHByImwb1HM8fESGodRqPG8Z8CcTwud8/H2QO16GWC5kq/Rb90+R0W8lzu +OwKT+X00+tj+iB/k6azZFl216Ecihp/PXFOoLfiwM/oB5L4nYuy/WAY+rA== + + "]], + PolygonBox[CompressedData[" +1:eJwtlVlsVVUUhjcdbnvvPefeE9sXpSQOCCjWqImNZaqdqwk1USRSWgvG0CpY +MJZSHgxEDVoiGl8wDmCsYCdIgBZNVEqMGocHJTEtiRGKmvCAD2psojgEv9+/ +DyvnX3uNe62117nuka339xSEEJ6GiqBvslA6hE9KQmguDWEdfC00C76K8/m5 +EC4UhrBxXgjXgA/kQ1gMvjUVwkHwoiSEVmz3c9YWhfAnNpuh37G/HRqMQ1hO +wFHkjyO/B9oNLuVsJ7IGaBH4Vc7qwQ8ifwlcwdke+LXwL8OXwz8PvxDqgN+B +7yZiNybGe8kngLuQL0F+lpy7we2RfS/Afi/8u9yhsTiEH6FO8l+JfADdcagS ++RHk9yILuiOyaugSsvNQB/JribGM++5C3ozsJHQjvifIYZvygf+l0DY96BfG +lr1AfleIdz06tdjvwX41uv/kXcsrhPwbfJr4G4k/i89J8Cp0NqDbx9kU/IJM +CFX05yI+u6FO/M8Qqxof09KF3pznmr6I7C2oGjzCWTeylsi5l3DWj2yEmHdh +uwr+avx/ALUTqwP6ENwaOdcy5LvQ/4HYZ+nvz9yhhu8W+Ff4vkYOZXx/je1b +d9Rdm/CRKnDNVDv1SL06TO4X8b0E+xugb+G/g9ZHniXVdABfs7Fjt2C/ENvL +sWdDM6fZq4xcu1vgKxLP3gP4y87N4NrYs3AK3I+8HP5Z+J+43wi2x+Dr8Xec +mL3wh+FXwI/Bb4H/GF9f4Gsf/r/ExzP4SKU9MxXofsT9BtHvxN+pnHNUrprh +NdhnOZsAN6ETqbdp91C9y0J/wZ+D7wLfAZ2jH4+mPEOapRXx3OzjY3nsmdXs +qkfDyO+OPdt6IzXgP/D3Pf424es2qISYJ5A1oFMKbkJnaYFnpBF8M2dDRX4z +N4GfxHYg7V6qhqqRaqU3M4S8OOda1eEjBU5D4/IFn8l5d5zO+C7aIcOcNRd7 +xqbw1Ya8N+PdUg7Vg+dz9hW6k6V+I3orfeB6ankidu6K0Yf9IDbPZd2LKvz2 +gguyrr9m8PW8d9VSfLwBHo+dm3qwA/uJ2L04Cd+v9wvfDP8e/E7447Hvpppt +h2/Fd13GuRURuyFxbtpB2kWa3cmMa60ZXpzz7vi/ppoN9AeRX0LvAPi+yL1M +E2N37Deut66enyffTYnfhmZMs/YbdvvBxwq9F0bQbyl2TVXbrfg7ir+V2rH4 +m0Z3Jutc9Ua107TbNPNl4HcS10o1G0k8exfSnkXN4Gd57xrNyKfgUailwDtx +DDydd933cTYFHo4d+wg59JDLWOxdopy2qb7o1KX8RvRW8jnXWj4TcJxzL9SD +HPhzcvk363+R3lxr4l5qB65OPNuX0/63aMa187T7VJNR7Dcg/zrt3aQdqZ2g +3aB/WA3y9+dqqloeSjx7tRnvB83g+sR3O4jPdvB25E9lPavqwebIu0H/tEPc +tSqe6yVnd4LPoHcG/ZlS/1O1Q7VLVYMJatEVeRcvUwz0n4hcO+2codj/GP1r +tNMfBlfi66GMd6N8Phb5X6qd/jbytsS56p+8DvwfgWr4Ww== + "]], + + PolygonBox[{{4223, 2237, 2624, 2412, 4250}, {4253, 3050, + 2465, 1334, 3739}}]}]}, { + EdgeForm[], + GrayLevel[0.5825409899843454], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNWWmQVcUVvjPvvvu2++59lcQsigaUvQCVJVaRRStiABMgQGKhkoS1mIEq +WYIsIuUMDItIZKxIWIekRIgRDQKaADMwqCEaGaMsRpMqkooGs4AVARmjWJjv +8/so/NHT5/XtPn3O6bN83dNpwvRRd1UHQdAVfzLoD+FPXRQEe6uCYGcuCAah +D9GGYnwI2g7M+1UYBI+i34y2K6d5NWjb8fvXaDdj/rR8EFTyWr8J32rR/gG6 +BB6T0WfRyv4eof0Ie67Ht7exvh3tHFpPjBfRL8wGQT3ovySi/4z+NbS5oL8R +B8HqjGRpQNuIfVagLQUdZ7Qf5WnF2H60+9HGY2wc2mC0t8CnAXzeRH9nGgQn +MHczeGbL0BvfT6fauwR+n4d96vNaew5jY/GtHf1e9hibBbvgc/AG6BrQ7+Hb ++znx5/qtoHdDz16g/5WVLtSvQyUIDmB+b+x7AmsnhLLVSMx9EvSz1bLvaPTz +wP9j0Kux9ir8/gj0StCXgW6s0lhfzFkLuhvom0Avr9L3zqAzEHBDVt+GQecW +8E+xb4TxL4SSjbJSZq7jWU1Cy6D1yoieCj4LQa+r1u9JnsfxrGnOvxf8X8ec +BYn0pB1pn5ewdgB+b8HvZtuD9KsYb0U/B3PeCiUH1/w7lPzLrR91o44XdaZe +/w31jb8/CKUf543JyLZrrBd58Bw/tq5N+H0kp/mkH87Ir2jzBHPaQtkwQv+H +UHv9EfpMx5yXE8XChKziYRXW3pCVD9dB0al5+UCXAuInL39rIs9qydMT4zOy +8qFpsMNdWflVCXMOhdJxDWPL9noZfQu+/xjjF0C/EEqXb0KO2/H7ykQxcABz +5mL8FYztB303ZQa9D/TsQGfCM5uI1obxZvSzHPuM+5n0c+qANjbQ2QwwXYCc +ebSR+H07/HYD9LoD/RKMtUfatx79mUhyMpecjsS/qSL7PIJ+eag53P9d+N/j +6L8G+ZeGmk9ZzmB8G/q+GG8MxZ8+sgL02Uj2YM/f1KuYiC6gjxG/d8C+67DX +SsZiJBssjkTTJg9i/FwkOzVEoul7iyLxJU/ye8D8B4BnC+Z+BX0t9L4P7WyV ++lWmx2K/jaDvrCifkWZeZD5otD/wzJvyOve4hHVFfeuBvntROaYb+pNF+dFX +sd8B2gf9zWi/Bz0I/TDs8TC+D69ofZ35s9H3mFcP58XvnPPtNOfcfnnpwHi9 +EbyeB8+b0N+C9iLob5V1pqOqFZM50BHad5lXE9m0lOgc7w911hl8r0YbXi0/ +Zc9x5v/3nOdrbSfuu8r5nr/pd8Oq5XtvxMotAyrK7Y+Fyu/0gYdC+Rh99jvV +8qss9gzRRlhW+ibPsYSxonVgTLDn2jLG4kj5lPFBnegPVREDXXzXQea1OeVH +xg150wfoO9Sd8+mPjZaneyI5u9mHl4WSjb681HTkb9lENYI2YZ7P2465RDGx +3PbkPj/xXswvnMv8X3E8pOjb7UesW/TnVaF0py8/aPok9toWygeYe6kT43kZ +6N+CvgXjH8aquSNw7kmitWX0vROtPY7v+1yPhjP/p7LjT3FGLZHyOPPFoZxi +mbmFutQ7xvuFijPq0j9UHFM21jragrrRnksc49eHim/agTiAshGHzKto/m1l +ycrxfonidZFzAs9oseO9NaNcyTy5OyOdiWUWuDadhl7zy6rfQ51v3vFefUPx +mG17NjhXnMsrnikH83ibc2P/RNjlPPjUlbXvCNAD0Vcyys1rjVPoM1xX77VT +8L038xN+z0c/L6O8Pxo5bFRB+b1PRviKcxZEqm2kefbtxkvzLBN5MmYeNWZ4 +LqMaxvr1TiLMcCpRHWCssV4zttZatm9nFXv8zfpGXEJey8ric5v12mz+9Lv+ +9rfmjOzJWk//OpWRj+3KKo4YT4scr8wTPKPlruNcW+8azXpOnMM6TtyWNa4Y +kpfO1PcYxo8aV/HcRvvsmFNudp5pcL1irP8meykf8ExGm6533mJe2Zm9lMMW +O+dR5kHek/yfzmqcPOucM5jD6Pv0K/p/nXENz4K44lnX1KUVyfp+LCx50njy +lGnairY+4bgYQ4wUyV+IeXh2jdbxbePtmrLmT0H/VFa5lPLsyQv/0Fd2ZCVn +s7EhcSAxz/lEdv4Q/ZaccM8LmD8VrTYj3DfGfrWI9k21NpPKrxqNxw5mdFbE +S6xL1Jn+zRzWz3mMmIs4k3ZhzeF6riW2Yo3rbLza6pg94BjmODHR857PPZ/z +OP2l2f7G/Q96DrEbayXlYX/QNGs1aw/tx/sM7zU9qtQPNs38yPjj2VH3KY61 +3qYXmaZtiHsnGR9PNJ/x5lXrOOb4YznlX+q+17mUtZZ3lNh8eJb8Tb/dmlHO +Yr5qyym3Eg8uqyhPER8xPlc7t7ySyv/edS7nHPrqZyrad0hZ/kJcwn3o+4wB +xu9Z8D2TExY+jLYnkmzEmC0+C/bNpnmuPN865zPyYRwxP8XmP9m6UC9iqL7G +UbTNEPv5FPsW7TkYe14bXeLBnmuJMfmNOOq6UPXkYm2tM1Y8hvFrQ+EH+uk8 +8+QYv3OcY/M9zvp8nesy8cv1rrmscaxnjNWVZcXCuFi2SXwXWFEWRh8by6dK +xuq063bHI++h9C360tqyfH5NWfE+3rrXOM/Tx2i/gT6L+fYbytnL9EW/Guq1 +Q1ETOhfEb6vHuV+t45ZrmddZN5gzmVfGeS1z9kD7zOVl1cQvleXPfT7l51Mz +l/afbz9mbuPdj/7eIRFdiXVWfXzWlGWZ9yKP3panj2nOYY1kzfobfPYHFeHh +v8a6u9N2tNuMsnLiTPTH88KsrAPEtmXj2+8DI3+xpHieHeu8nyqrZpIXdV/h +e3/Gd0PegZn/mCfTvHIl/Z01hNimY0Ey8A2hCbw7lYSjecfk3Zt1qdXvDJ+c +b054ke8FvFfyLs08t90+TdsQgw/1edFetNvCRO8LXBdC5o3Yp6WgeyDvi18v +6M1iJManQ89CQTV6YKS435aKfjwVTvheQTJT99GmH6povLGi+9BoYwnKPspz +2mPVI9al7qlqZI9UOJG6MRe2GQ9TVuLWTX7PWQC5akq6496YqNbwPePWvOo0 +6+X8WNjgmbLegXb5vWin6ci1dafpFDwnl7Se+eyQ970Q6578z1R5kOOMi4u8 +PsGHsWrN09hrL2T6RUn3bOZi2pTnNSdWvO+0PJs+JUPFMtPX15j/fqz/eUn3 +trXOwbTJ3bFyyA7wacCcC0XVlpcwd31R50e/6+d7Fnnfav4rC/Jd+u0uv49F +vg+QZh6YGytn7irrzHhe9OEOqXz3ylTvCWOMDS7eY4lJeC+gv7T7PtTguy0x +y2Lff4mzibd5Z+L5l30nujfV/ah7rN+kL96fip5/Tyq6G+Y8k9W7APeZl+p9 +oGssPyr5/rUSPtEJ8hShy6ZUeb4pvXQnJ76ijff5TYSy97T8zPfEZ8QtOcx5 +oqj3F2KZOr8tEK/V+82B+y3xWwR9qN14cUxBsU2f3wQ+T4LPTGPSRb7vMz47 +2184lzIzrzIfdDTNOwbnEx92iPU+NTFRnFMv5s8rYr1h/RDjs1PdTzvHwpYZ +Y81XE+1/OBE2zhoTz0l11+4S63fovR6JpQffKa9Khee+TCyW6F2F7ytdU51H +N/RXp+J7DfrOqTBrF/QdU8nRKZU/RLZ/oSwb/YzvkbDN+YJ89z+guxb1ztEx +Vg6djj07xcp3sxP5HzEqccGVsXJlTSKfyNsnN6Sasx79FNj/nqJsTblyxtnU +qcp4+kXMebOguOkT607yRKJvgd+oacdq+8asVPQ1mDsj1ZyrQa+v6M52X0W2 +oUz0YebWVudw5n7eI4iHf5kTBmAt4Jstfw83RuIcYuPzqe5gH6G/oSJsN9h1 +njQx3hZjKeKoJdB1YUn3xqPGWdyLOKPFd2f6C9+L+U5Jn+Lb7mW+09Q4v/Ge +TZl6+S7B31uM58mT+IT8KHOzdTpmmVnjjvmuROy51zpy/j7TjIkPSvLLzxo3 +Ej9y/j7jIsbf/0qKwd+leqc+mCpnJ0XFHG3Du8cY77vXeHI7vgc4k7EFvTuz +xnwO/CcWdN48a8q+1fLzjI677v8dcyYUVPsvT5T7rkhULw/7jetULDzUHWfR +w++zPdE3F1RfObfW9Yc5lrjurO3D+rDf/nDEeJj25Blu8Zyjnn/E9afNtWld +QWdc45rZ5jpBvffYtseMq8mHb1vEZ6/HGjts/sSYZ0zTRsct026f+3Dfofi7 +ydim1fjmtVT/R/kT+v8DeexMCQ== + "]], + PolygonBox[CompressedData[" +1:eJwtlndsVmUUxm/b+3391r23Ro0KqJRRhrJRElQwONgYcUQQlJREUCJl76pE +pAioEAe0tcRgRAUJywUUqFs2JCpqokaNE40xhqpMf08e/zi5Z7/nPe+555zy +yqqRk4uDINgHhMDZXBAszwbBUyVAJggmxEGwogheKgh+B99TgI/ik0AMvbYs +CPogO4Pdy+ApeIuR7cd+cBQEWeil0Aehh0K/kA+C3fifgk1nvkuRN+G/kA6C +BYl1pNsDm1mcNQKfzxDHQoKsTexTvrshn4F8CPQB6O7QM6GPAbXoVsNrhe/Z +2JTi+3XOawd+EF4V+GTgAPhx4v4aeIAzHgFOEdNDwP3gvYB9yBJgEPgQoAfn +vY3vdcBvnNUR2XHuNBibhch7w6vE96vE0wn/O6FrQuckDb0LelnonOSg88By +8EP4GxYZhPeENxvdM8Bb4DXwWiD7Groh4/wdxvY+zp5PDO05fyA6Fcgz3DcL +zOW+d5O/59GvQ3YUWSPwOP6WABnsU8g3FVtnDPg/+NuZdX6Upx34aC7ymWOR +12HzY7HfvD52DIplKnAE/C9i6ZBzLlcAVcR8XLkCpoCXxj5bb6a36wV9An/N +QG/wSs7+BvtJ2EYZv8Wv0A9n/CZ/E//v6G7AvoZ4vsNmEWf/XRoEJcja4PNZ +1Rq8rtAPo3MCu8/hzQG/nPtsQbaTOz2G7VToorR5l4GfBuZDP6qcgJfj75kS +1+Bw7DvBezPlmlXtTocuQX8rvNbglwKblTfki5AfjZ2bf8nrujLXnHI7CZuz +xLcX/ibuN4Z77uYOo9Gpz/hN9DbKxXhkZRnnZCa87RnHeIqz2ieu7d2ctwTf +1wLriTcEUsTeAfkbyPcgfzx2DagW7sX+08QxKtYAegp0m4Jx5US5qeD8RVn3 +Ar1BjWoY/TTyWcjbAttS5klWnjgXjdCLoccCC8Gr4X0J3r5gW/2T+jelI90Q +egb0cGI+THy9qJE56D7NfaO037wZeiY6qbTPbAO+Ed40dJuxmYttpeqryDXx +PfgXsc/+GahEfwQ6R9Dtjc1c/b8F9x6dUa33Q39UiXvI58jaAsVpv7Heei65 +2MebXcd3cMY1pFqSzjTk85DVIpsYuu5ynFcO3RpYxl364W92yjWl2ipHv1PO +veMoUB27dx3j/AXgnwDvFNvmU/Dd2D8RumcU1JvxeTu+b9MbgQ/C5z7sX6GW ++kB3h15cbJ2V0DOwOYdtAzFPB99W5pgVax14S3gNyFdhMw7bKmLbkXWvzmbd +g9WLr+S+9eB1ifG7gIPqzwW/xU7lGPs79Cb4+wF6InhO759xDOXgPTizllgb +oYdz9gZgNf774m8D/sLItSwd6XaO3VtfRKcidk2rtnPoz0scg2LRHVrE1pHu +K9AdhXPmD0XuaWPQnQjvj9AzTrNuYOTcXQRvNXjHyL1+Cz5i8AmR76Ier15f +l/M/rH9XNdGTGF8C/xidm/T/xT5bPUm96Txskox7RCvOD6CvwP6rjHvAePR/ +CV3DquVxyOPQPuV7OzYD0+4Ro6AbsWnIu3bUVzSLJgDtsp5Ju4A1efcg9emY +eB+E15zxTOsZu5eqB5/krFuAs9B7gL7EuypyLvRmert5Oc8czRqdIV+35l0b +8nlz5LtvxKYrvsdgkwf/AN4AZNXoFvKeDfpH1id+65XgTejeg833oXuGekcW +Xgm6/8JrDX5x3ruG5o92lDS806XOWSvwUuBcqd/0UvDXYs8C1ZRqq4HzuqWd +Q+VSPV69Xrw1iWeIZoliaCl7clya9yw8FHtX+Dbr2aSdYSC8j0Ln7BHudz3w +Hvh+eEORXRJ5dmtn0O6gO+quK4Ay5N9lvWNot1CPVy005bx7qCb0T+vfHg0U +Is90zXb19IrEOVVuPwRuAP8p8Ww5Qf4uVP0V/G/kgfmJ/2n9202c35/zuxSM +b/9/tnyWeDZoxmvWT8y756nXaccYBu9A6Jpcjq/fYu+GegO9hXqcet1d6hfI +k9h3Vc9V7/2z4N6mGXWYs6LYu6R6vnr/1Mi7gnYe7T53Rp7d6iHqJReUuVeo +x50PXhW7NlZz38mxa061dyt3eB///bB5t8Rv0j9yT1JvagSuilzjqvUm4Brw +58ocu3qmeqdmqmardqo5+Kst81toRgxAVgKvPuUaVa2+Hnl2qUerV9+pfhc6 +BsVybeSz9sIbHLsHqxfLR4ivr9DfEHpn0u50deRYVWOqNb2p3lY6XaBvjPz2 +ehO9zRuRZ5t2dO3qqkHVov7BpaqVxLnRTNFsUU9Tb9OMWq59I/Euph65Fvut +kXdx7YzaHbdF3k21w2qXVc6V+2eJ/xT45si7+SfAyNh31F2Vg5rINaha1A7V +UbtY5N1dO7J25ZOxfekf1r/cruDdQDNfs/8/DrSkKw== + "]]}]}, { + EdgeForm[], + GrayLevel[0.6730742692648489], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmXm0VlUZxg/c+33fvR/nnP0BMilWTmjLAVBMDcTEAUPupYVr+UcrbIVL +ISEGxzSxLKYccra0ApIycwEhEmVAJog5JOhamsymKBdNSqxEQaDn1/Oy/GPf +d3/77L3Pu9/heZ997hFjJ4+e1DnLsuH60yS5oznLOtSOUX9lLctWqM1UW66x +UZrwN837TTXLHlEb3inLpmjsVY1N1Pzz9fsEtRa1Q/Msu19jC1OWzdPaGdpj +huYdUsmy/VrbXbKH2gH179K8vZKfqN2ceXyf+t9Xf0qRZUu0bnLhNYzfmXld +pj1/INEr9qHP8/2xtmzVWVqybJbW3625izS+obPP0R5636E50+rSVb/f1TsG +at5nGll2r8YHa3yBxoeoDVZbr/lDmi3v0/4Xa85hajPVr2jdQu1/mHTpVvFZ +ukpO017PSIcd2vvRqm23RuvnaGy92lL1n5Z8Te2bzZZrot8m292rvXvn1qW1 +i/VZrDUvql2vZ7P0/haNL9KanhXbBPthk07q362hPtGfrn5V/Z1Vnx274LO6 +2hCNDVYr1d+kOVXNn6X5EySvqHlstJ4fr+e1TtZhvGSr2kfS9S092y2ZNO9j +9X+ktetz+/7w0vvVYs9tVc8/JbONmP+9zOfuX/PZ0fGfVccb/toZ/VrF45wD +f2J/fPq8+mc1O/bQo0O/z87sjyZiL7Nsjj726Bw2ObTicezUt2Jfsg5/0se/ +xABnIA7wwX69c5Na74r3wd7E596I4f3SYYf6+0KXHaFPn9DnnuzTZ8PUb2h8 +T9X26xr73JHZNnvCPks4n9a+rPc/1mzJ2bFB37DD9CbnC365UPZcoLaxs2Pv +YfULjY9ruP+O/PMLjc+rOg6JieObncvjw8fEGHssbPF5r9TaZerXCo8tinF0 +e6zF/r1A+z3e2XHVXbFZdHEOLK16LfGPfV+o2A6jFNvtdfv/VO1zeSfrcKve +NVDnqRc+w5lNjr3tssHbalObPBcMYj5jxMWU8BUxi78e097bZJ9u2n9y8tyF +hfOY5+TyBcm69JJNZhOnahP07GcV+2lY2AQdsC14MiQw4Y6G594p2V/yytAL +7Jxe82/aQX3Jg2qsb1Prrf0vyey3xeE74mlNxdgIluwNPCH/sAV2IGabIm5H +6my7W5zDxGOniEmwcF/g7dAm+4r9wQkwE6xYED5kX2Lt44jDWQ3H1W7Z5BqN +rYr3vhyYSLytl2+71f3+yYHVW3LHaS1idYvkc5KjMuMsuAz2PCubX6R9n0nW +/USNz9Xv5Zo/VzaZ02z8nhgYPjTZHj20/5OF/dZH/W/o/ad18dyHasZocHNA +k2sXPvlQa6/V3h8kYwRYwXpif07gML4h/m7Q+DnJ2NlT+y9KxscFkt1lk9Xq +HyJ5idpcrf175BF98JMzjQ57telMJ7ca12gDAt8GRp98bKkY1yZkEbsV5+KS +2Gd25pqC/8GBG0uvmVZ6XTXWPhP2fF7yc7nxplVygGy1TPve33D8jg8MPzw3 +Btck15XO2a25sRlM5xl+H9fJNtkIJgc3mBlxjW2p+eBvS8gXAouR/IYHbKh6 +PWuH6V2r9fyBhvdjfKdkRXqulByi53tyY9zJpZ+xvl/mGOYMxGpH1BxysyPm +sP+5snebfPGidFylsafUxoC32muQ5OWyz4qwJxgLF2BOW0jWEK89G9YdLrM6 +xtkH+2yLd2Mb7AlOPlA4l/dJ7tK7369ZhyuT/TdD75+SjPXT1X+1ar7VK3ON +PT+4E3teHjZ/UOOPB2eg7uFv6iC2nx4YWE22wQTJvrltUM2NW+DXVzL7aVzo +OSNwCT6G7TeE/dlrSmDUExVjAHX8pFbnCbmJnnACsB19r4g+uNGI+Cx1/pu0 +z3GSbTrnWuK9Yb4zMWrN5pr1QzdqY0fUyiNy40Q999xJMf+DyN//JM+nvp4d +XALd8St4jz7YcH/uGv1Xvf/d5H0y6fOHwjm+TLJH4XrZoeebKz4Xe+ATfENM +vaH2kvqCmP/Ll9VagzOAu/CHNcG3wItnY5xaAg73jjn/TvZn1zJsXzO+gY+1 +qAXIluBI1EZqJDgGzvM+eAsYAvcGNwa2Osb43Tfmz4g6NS5ynBjFRoOCozIP +PrMzxsnxR4KXFsEZyC3qTI+Gc7hXw7ydGnJzYMK1gW/Upm4xTq1hHtz7yZgP +Vx8Q2Mf+PYP3M2edxtbWjHNgPPWZmNoX/HZx8DrwhTzsHXaG54MTV1d9L6GW +9Yxx9EI/bI0N6GOHVfFe6sesuNNQH8gvzs5d5qXAQLCwKTggfhwZdRU9iIeb +NN47M3cg1u6Le0ePOO/HUavJnfk11yS4JHm8NHKZ2tsr9NlcOr6aFbNvNjvG +eM8rVcdhr+CrfSLGOuIZOvwueNXsuEN1D0w7uJ61xMD9FWPEv0rj6GXJ+8yo ++PfS0I99kEuivy7wB/v8usU8Ev3ntbjmkZtgA31qH7Z8NGIJ/Lhde3w3cx1j +T+LqILcmtt8ufY5Lk208N/aZH/c1+NXc4KiMw3UZJ4aRC6Pf3uo6zrwzxAWe +1u9vVW2zZ8NuH8rIp9Y97+rkWJ2p9x+W205NuTnsZVXn4ClRJwZKbq25NlAX +9uWO0amF4w98oy6gC77mXPjtleqndQnZL3SGO3KuV8LPnB+f4/vWiM/Zgc/w +ylkRq9TM2cFLVwZHZQ65gB7UheHJ5z1PcmQyjoyQPD05J78g+dOoU9Qr9mPf +GVFfuGfBJ85MzpnByb/h1nCMZYGfTaV51kNxFuT86HPG+RHzfyo8b4XkoNL3 +hFNK4xx97Ly6MF94qvBdb3nY88ZkvLpF8xcVvpsskByWjLlfkjwyGUuukfyl +/D627roBLyQvV2n+0cnYcB28KBmrrkrGr9GBD8iLIuap868GZ/1Mck2bmsxV +dgYv6psc1131no7CnO4fhWOEWIFLUKOoadQz6h08mD5ya+y/NcaZT20At35f +eN3mmM8z+tRKeNnuqH0vJOv7F8nTGtb5gsK1lphsLlxXiDe4OjH2UsTcgrBn +Vjq/wcHhkb/0yfEbkuvODzXn28n4O1v9a5PxdlZpzkBswBs+0O/buZ+X5spw +5sXJfH597dPvQOuj9j0XPuiQDU9K5hwnSLYm85ZK8tzlMR8910W9wA+8i7q2 +UX7/ufx+Tqtra0fwok8K22xicm6T42+Wrjm7gpuNiBxpT45RYvXPhevqrrDJ +eZFTX5Y8LrnGfkeyX3Jtvz45d98ILjcwcOPU5LtqR+j/TsQJ8QL/gy8dnpyT +5OYXk8+PHQZIHih8L5yUHOvE/LmSI1p9VnQEv8CxI5L5JbX4s8k+2R45Ww9O +9ePCuUROfT6Z9xPLe0rfE4ippmR9t4cN8T0xcGyy74mBY9TvXPoezX0a/vB+ +2Gpw4MZZ8LTS9eWt0rlNjj8t2d7imko9JYaIpaOSOSvc9T2NvV66zm4qzeXh +JdQOcP3hLsb2LRV/azjIRbvFnt1y196Tua/lroenJd/tqecXJt8hqb1nJ9/x +qA/nUxNy1/Ah6o9peP8/Jn+DA9dX8h2y7nsvZ5ij/qYuvnNQ756Imkf9XxEc +YFCyDujSP3kMHe/S2jvr5nG/Ta5vAzR+m8ZurZt3X6G9L+7iO/Miybvrvk8+ +qv4tdd+ZV7ca+8A9aih5B19apfFfdTHvxjbtYR/u2nNjLt8+J3fxvRz+sio4 +zIHcNn4nmVM8GbyC9YNj/4dy18rXNeeM5HXYj7v6xOBy5Fhb+K4j7h3kAvdR +6hh1bVfwQOKnEfcOsPWT0rxlf2keD59/UfKq0th6dWkM465MnryRm5d8XX7r +qnM16o4bYpN8QZdpyXzhuNw5TC4fm/s707LQh29aC+JbCRxzbdTXamG+NbVh +fsodh/sU363a4o5/aGFuAEdg/f743nJV1J2jct81iF3idkDcodnnxNL3Ee4l +++NbHmtvSo6pEyXHJnOEDeRsYb35TsZ3l33BmadGzTpS73o3N28brznv5dZ7 +YGHMArv6EYeNOHvhmGuP+x7zmN+nsI25J2Nnahx9ajR3aTB4V2nuMCq+q28s +jYljSs8dFfOpdZuj3n0k/5xR93dEbDkw7EDeg6Vw4tMVm211fyNvj+9lBzER ++aB0+zD3t/h7GuaR8KmtETu74244Ie7IBwKTOoJ3NSfHEjGF/8gt8Oy2hnXi +Lrut9J1wLGcszQPGRa3bGbwOXw+N7xJwa8Y6Sn+rGBp+3Fu6fk8qXZOoTS3J +5x4QZ+fO0j/u4ODCiMB5ah45Qh4RP9xT4U5jws6XlL6PMM6dZG3UN+ZfF/zn +mNz3G3KdHM0L5yDfL+GA84IHwg2xM/ptChzeUjrXN8d7x4ZNLo16ui7yd3vk +N3Vnfdxz2Xdk3b7Ej4/H/x6I/76lv/W9lpvDweWOzl0z8NN2ySzZl+DBuLD/ ++NI8Ax+8X/qdc+O96zT/q9J1l/b5WnKuzc/NM+Ab/032Ab6YLPmTwlxseGFO +vTLuh3xrYR94Nbi1Ivh2JfhJLXls5UGuXrN9ONfMmM93mv8BllmL1w== + "]], + PolygonBox[CompressedData[" +1:eJwtlnuQzmUUxx929933fff9/X5vKHLLdWkadwaNMi4Txa6mZvxR0aRpUmQx +xjRCN5emyDXdVRoqY1ckXaVZFInyR7nkFlOWdKHCkNXn6+uPM7/vuTznnOd5 +zjnPr+WoijvG1Q0hLIMKoR1xCLUIVhWEsBP8YhTCMOTb4F8CT8iH8GE6hGeQ +bU9C+CsXwo/Y35UK4Tv4FPq3wG9i8zO6evDV8Jug+uA8sjGsfYNgTfFfAZ0D +90PWAl0+G0IvaBXrh0DXEnMH/i9CjcEZfKzE1zvoTmD/LLbvleAPWYdMCO+T +Qx9wXCeE1eAV2M9DvoT8dxFrCfx6cBcog79x6FaWeO1ZfDZEv531S8jnGvAF +YqxBvpYcu7O+B7LPitkf/B50raEnsa1XFMJE4rWFf1pr4SfDXyRGI2xvR/Yf +uC+yanQL4G8GFyTeey02heBWrH8CPo/NePiz8E3JrQk0i9i7cz475aBcmiW2 +fZw1TcFt0D8FboBsEnw5tB28GFmZ7os9zIUvhf8TPATZomCbobLlPK/K+uzL +oL2czVL4gcTfQcwIfij8ZnRfpX32c+A7ZnwHl8+Ys/2A+/oefByfjyBfgd1y +8i2Gf41Y/YmZApcgW5dyTaVUa9Au1q9hj+fZyzFsZhS4JmvhH8NnMevT0NTY +Z6KzGQ6dQV+D/diUY16CX07cTRnL9hCjXtZ3rrseCg1Hfx+yY+AY+WGdb9o1 +rFqeFPtu1AMt0U2IXItrofHg0XnX4hb4GvTNYtfGJqg/OBu51qZDc7ANyG5A +NxJ4KXKtn4Mq0675l/NeOwb7HPrV8PVLfNbTwKeJsbeua2I2/HOsvYC+POM7 +6A0/m29V2j7T6BZn3M+SfcP53MneqvGxDXwIeiDlGletjya/P4jfjfyawZ+P +jdWjF8DtI+9FPXkSfSn+hxFzC+t3Q/Pzzl09tkD1CXWmbrpAJ1jbnjWzVKu6 +P2IfxGcj+Onwh8B9oA2FnimaLVPzrrWHkB1nfa3qC9vurLmo+sJmRdozQbOh +J/kcJp+xad9p55xnge50JPpLsWtPPgLxO6GP6tjHg+gL1OPEGou6rjC+qjOu +naXQP6yZTKwp6P8Gd4Dmgj/BX0dwV+h5+M/hu4FPks8+aAA+boMGRZ6lP3Ae +PYn3etY9pt6Sza/EnFnkM/kFXBk5F9VMFfgWfC6E34rNIPC/ie9SOZ3R7IPm +B8+Ym8DpxLNHPZcBj8TnEXw1RNaEvbdF1qjIM6sN+KcSzwD1vnr++sR3NRN9 +e/BHkfeuM/oYvCHybOkD/wW4a+zeVY2qVo/i41v8lav3oGpsXsC+r3okcs+o +d9ajm8h5HMi5t9TzHfDVjpiNiT+DNaXg3yLXgmpKtXU/NjXwbVVTrH0lcm9p +5r4KPpjzLBrM+YzA/m587C9yzS/L+Y1Tb2TY9yr0gyPfjd4svV01kXtPNaha +bJ14tmvGtgKX5pybzvBR+J7QPPiN8L3AZVn3yO4rPkbB9y7xfNJMepv1B4qc +k3LrnLiWVEOdwN1ivz2aiZqNxZHPSjNTs/NUzm+vZqJm46K8Z6F6bBrrE/Qj +wDvxUYY+6M27EluzsjCybhL8KfgvI9+l7mgj+MbEe1FN9QZPiz179YbrLb81 +cS3qDRms2su65lXrXaAK8MMlnq16FyrBC7LWvUvMdjnXlu54SuJZdibrXtNM +a5D3v4P2oL30S/x2btEbAt5LPphdrul94JOxa0Ez7Hfw14n/VTTztoIPxJ41 +hAj7wffm/a+yjho5pHlH/CqoK07LoIVZ56xcJdNsWZN1LWvG9Ejc67rz7uBP +E9ea7vQecGXifwn9k1SBN0euff1jXE3slonfav1DtAAPTLw39fiAxDkpN93Z +Cfjmec9SzSzNriOxe1k9cDR2r9XP+m1Tz5VnvSftRTNad6y71owtIpdTsWep +/glOg4/F/jfQDKoBX5f430b/JM3B/wOUmVv7 + "]]}]}, { + EdgeForm[], + GrayLevel[0.7636075485453522], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmXmQVdURxu97vPvmzcy9774YxaClxkJKEwWNihGM+8aiwuACqCzuoiWU +W0ipkUVQJ64oBpVFRU2MFrhkMZrSgIzAIEgqKY0raCqJgBUVjTIgS76fX1v5 +487pd+45ffr08nX3nb3PnzBsfDlJku/rTzeND6RJkleSJNNzbVOS/FRPqeyR +35tLSXJEc5L0a/bve7Xuee3pV/G7azT3HY1/1++T9cwVz0EaB+iZJ3ppyTTz +jAOD7syT5CTRN2VJMlrnHSn6Na2drnGh+P9Y4416Cj3HJ5YvD/q23PRo7Z1X +8po2zZ9YMc85ottqSdKuJyl7/EXQVe2t6uKtjSRZmVue6eIzVONpeh6Gv9Ze +zyPekzR3pu74K9HHcb6e2VpzQsW/OWtlNUkeEX0sOhDfJvEvaVwi/sdo7hWN +uzT8vkP08pLPekh7OyTTGdq/pGz9nRj6Ga31AzV/kGR7W3OnxvrV2n+K6Fs0 +P7hiGj2/VbHeoZcX5rms8L7BsXdZyTRrxpQt20rNzRbPHqIfzK3LRujz+ZLt +cH1iu0BfIfrl3PZ6SeNq6en2mn1mUrfQnfYN1O/DKuaBr/TX0669L+amb8zs +S/2C/x/zWK/xY71brv1l6aC35vrEuU/npq/S+6kVvxuj+aO19gD8RmdN1rhb +yL9B65bqXbP4zNHe3TV/keYW5l6/QOMdue97fub7HR7yjAu5kXm5xk34TOKx +S08P0dflpgdrb5PW1PT01fytuekRmm8Xnx1as6/mb4g4Y80DJdP48wt5nKv1 +h5VtC/ztotT6Rbfcafe4L+92C/qoqv1kdtnnJBWfNSU33SaeV1f8DpknViwr +a2aUTCPPvVX7eW/xWZrbz6do75sV+zp+flnJfopujqrYh4hZzv69ngGi96wn +yXy9e1a+t0o8X9czquJ4I+6acs8zl5UsP/sfDDthr/U6t7feteqZpXPPqtqf +iZULM9v4B1q7NXd8btN4Xma82K/hfciK7daCETp3jOYvj3neQ8OP33s3bOMB +kn2HeE0RnYhelRqbVmjNHprvFH1TxPHYsmPnU42f6Bkk+rrMcbK/1uyjM3vq +2UnzV4a//lDzvRq2wZfiV9YZ00R30zi+ZBzlvrN07l5l+wiyLit7ft+GfWiL +9q7QmlGa79T7/WItvrRM8+eWjTHEUGfsJZb4PVBjV8l6RgdgFfzRFePyWF8K +HKvprOGZZe4VNuyIvWsrvuecsn0QH8CWT9c990zdesK22PpZ/Z4r+h3xG5X5 +LtwJvwEz+pS8dnasPy+3XvtnjqeNqX0V+4xscrz3VXyMr1nP5KIratYjcp4V +PoN9JtTM6z58r8mYMbNqPsTcqyVjL36OTVgDdt2d+mziBF2ODxthd+7CueSV +TSX7LP40LnzvghbJLtBYp7Nn6g5jxOMf5JxYOyvwf0n4YVf4JTYfGnHbU/pZ +rz2Xib5B9Fjxmyi+eygfvyB6Votz8yTJmYnP1JJzEXpE91dp7w2aO0n8Psxs +o6r4HFqzHOiql9Y8Jn0N0HwePMCKLxTDE6Wj/2pcp72Pas2lDeu9d2AyazcF +tmDDYTXbsXtuXfXJ7Wvs5W7wn5x63w7x3KHf68R/UMMyIAs2wTacc1XDezkf +f3ws/JVYfyh1vvpcfnWX6I116+zW1Hi3Tr9vEf1R3XIgz9GB8/jBFYGH2Bj7 +rpIud9YzpOb4gycYuSNyG/frXjbP9tABcoLDa+u+15qI6W2pfQy/W1+zDc7W +/Dl6HtX6NbnpGZJnjcZz9TyWeO79WNMRNQf1BnMjY364+L6U2mepgzaljn1y +4/bU9wLPpqRhG9G/Tp03wPd5qeum+Xr3M8mfamwuPF/T+FXh+S81fiZ9/KjF +NRQxgd6IC3L+EVETgvGrq/ZvYpqaMou6ibzCuU9mrhfHFs51O1LnWXDxqdS6 +RE/7NVtXd2ruP6n1fbPG9al9Z4P0drnW7tHw2fg+cc++S1LvJbc/mdp/iC3u +SUyCE8QNeDBX779KjZ2rI089njifb0jtz+DM16nxgZy2OtZsKJxT1kY8QYNh +T+n3Fo275o4B8hw41iGfuFh8lmhcLF1ubzZuIe/FVctMTnsidV4nx4A14xr+ +jQ6pZ6iPFqTWP3Lfnxr3k8L0jrprmc2p16NrdL5A8+cHloKp3HVV3OX4qusM +aozFdY+L6vbHs8MnybFdqX1nqOTeXHNu+6Cw/Fsz40lXYAp1xyepawzwi5jc +mDtXkDM4d2XEA/6M/91Tcc14pHgu0d6faDy7bJq6lZpxZtRjW1P7DXGHH90b +NRu+Pz1wCT1Ni/qTM+fHufjFlKgVqXHui/hC3olRF5FXV6bO+8dJjqWijy3s +F9wF3wBvu5qMuVc3LNsrmXU/OepP6oRHolY4XPsX0dcU7kXGV5w3Fmtul5rv +egnYqvkDM78D88kr4D70utx+j/9/LHqheB0p/S8ofA40uA8GDw0cPlnvOnXG +SRrPKfsu1Abw4CxyzimF7ztY48sad9bekVr7J9HfrRlvOojFmnlQY+xac51B +HfK9mnXGb86iJqF26lFz/fR25nqAugAcmhT1LWegE3pEMOzGqIeJmVHhe68H +rowKG2JLeL2r+48QfVdmvKbfI6fSD9EL0eO0aRxWcU+HTG1Bv5F7/rbM/R+9 +Kz3Xh5ofTbxl5v0eZ2r+TI3vYsvE+94JPkMq7s3oreg734z6AVlHh/zUyW9U +XCuDH9xhTPA7PXgytgUN76HBn1rm0KhniLe+Uee8lVumOzLLeFbISV1FTXJB +7lwxPOKLuglcpnba3OTcQC9D7T489h5SOKccTO9YMX/kIZ6HhG7/mvvO7Zn3 +jYi93HVN3LeP9r8IVmgcUTbdEf3ukNAV8p4Re4mxM+Isci75FjnpdYhzYrx7 +wz32rhrPrBrPwfXOwr9XaLw5c/+7Knf84Nt7av2tmXvgv2j+fmHvi7p4/2bn +MfIzWPFuZhz8A7EZ3wL+lhuTDgtcGhc9LThDXHwTE5qblrlvX5Ebx75dS81S +jZpnbNSz6AfZ08hH4PpuEQtTM/dZy3LHDLaZH1iEjtDPa4Vr2isbjsdvYrFk +3wJPsfWndefOz+quj8gH1EjE9cioc/+c2y8Xabw7s6+8x30z4/7aPOqEknHs +zsw2ezv3eZyLHem1iNmvNX97Zj9+MzeegdtgWr1qHxgR+kJvxMigzH5I7wWu +LI37gE3gyMPhG+hifvQmrVFXz428jXzUWeR7bEk+WRl6/h02bnWOfVb0Pa3O +c+BWZ/RI4NbK6KO2ac3WZscbuMX3jdHRX/Ee/T+j979sda1BzUK91TvyErUp +sn17B/RTLSxrk8b9pZdZ2reg8X9dkHe21d3vbY/eqFf0jPSK5LhS3TVm78hZ +1MbkL2qSf4rf6S2uTfsERjwe30NYi2/Db5/gSd7uG7m7Z8yz/oCGc+hOdecF +csKmsBX+gr3Q5W+jxmJfr+j7qMfpGbHP8YVzwwmRu/EVcJiaaHP0GtSQ08Je +M8XzN5L/0vBN8gA4TM55KWKMnuzVmO+m9U+0uJbqVzh39o8ehVglrm6OOrE9 +6r1PokfbW/s+avF3PWrqjrgX7z+NNdjhs+i9D41c2LeIvFayT9LLTQi+2IDY +BaP4HkHe354bG1+LeMTvnmu27x0h+sIW17lDww7Y7b2664n3664l6TeoJ7do +7cYWf1M7ROPBLa67l9ats2Ua/1X3nf9d93dTamv6mwGFc/PAwPMVgSfoGNvM +C/wHO5Dz1cjH6Jmegf6sNb4LgQXgAD1Ve/SG1M73RxxSG86L+vDAwvh4UOG8 +d0zkPmr5W6Kep2ZFx+A8df3ksBnfh5eGz9A/PBC5gD6CmgH++BA5id4ZjKe3 +xF/nRU1M/QC2o4PnA7MZr49elXqNe/GNhlqxUnctjB2IBXqKa+K7d3v0q9wX +v/u81b53Z9yDXEUvTQ/wQeY+Ftsl8oE5svmwFtd5P49vnd/EmXjs1erveuQh +cjzndQ+fpf7E9shDzpgRPSfzU7V+51bXj8QfeEEM8p1yXNwR/70rfJjY+qLV +voIsu7RansWBzej6Ob5Hab5nbuwkV4Gf4Er3VmNLd/a22GfnRrzQSxBLw+J7 +LzkGG6B/+k76KPyI8y6LWpf/G1DHI++E6InhwzfpZYGZs8P3uTu6hPeAqN06 +Iw/SZwyJXqMtvutTn9D303vgp8TJtfG/jKMK58ujC68D28glC+vGJvq2pwt/ +i3ym8PuuWHNq4Vr2tMI4TMwT79QzywMTqJcXBYbRw1G7kNf5pjAjbEof2SNw +m+8QWwIP/weLqSwZ + "]], + PolygonBox[CompressedData[" +1:eJwtl2lwVFUQhd+EmWEyeW/euJCIllj+syxFRVEJggoKSXBjFxVQEHdDCZZY +qMTgAsgmggKKWKKWlksgigsoSAiEBMF9YwdLhWCpBDdAIH6njj+6pvv1cu/t +2/d0z6kjRverLAiCYCuUhP6KgmAczG+pIKgNg+B4qF0mCOqQu8RBUJ8Lglvg +R0Gr4Y+TDfqVyOehfygfBJX4tysKgsXwx6I/Dv2H6M9Cn0Q+0DYIqpC34j8A ++g77cmgDa+9DnoFuVoI9wLdC85D/hu7EPwHNh38Q+6HEGox+M3w/6Bv8r0Pe +Bn89tB35GfaxtDAIbsXnNH5bskFwKvQAe5oKFROjhN916HsSux1yMfIa5O5a +j3gTiXUY+QN0ffi2Af4EbEqQt7LGkKTX1NoXKUcp50y5k498T0K/ANv3oLeQ +z0f+QDL6f5Aj5KnI5+C/lrOv4Nu58JXQv/DV6FvRL2GNBVzY81At/GFofsI5 +CpRf5MewPYq8nNg9OP9Gzns1+zkAnYnNcnS5dBBMgG+PzTfYd4c+Jv5ubD+F ++mWco1XES7DWfdzZWdznJfg0sl4DMXrAD0K/Cd+roS/xL2W9DviPxncP1Bab +57FdiE8K/nTofeTZ2D/E2kHOZ3udb2/i38y3Btar4dutrFdMvENZ31VVG3KG +PA+5lLu8lz2VY9OI/cvoKuB/Jt7jxJrCej/CXw9tJ9YwaJdyj3wQ3SGoBr5T +7FyrRlWrR4lbBVUid4a6ol+X8J12gy9hjQ3k7lLVOPwFfFuV8hvQW9iWc21P +xGcL/HL2u4v93p3xnv/Efhz+Kfa7P3ZNq7aVozT8UXzmpnynutvz+daQ8BoX +wo8nxj7iTSFeX9VY1t/E646vxWcLexsIfc952yA/mnTNqfZOYI/tsduIfCXx +hqDfiv5aaIvqj3gTifdExmuszfnt3AY1wA+Evsf2Cugz7M8gxpqEa6pj7LMe +wf+8jM98POdfUGhMUMzhyCOzro3fuLcKfNYn/KaugC8jfiO2B7nbLuR3Kftt +QZfh22TWuwubA8hVepORa7UYuibjmu0cG4v0hvSWWrAZi+1evtUQqz/xv0Xu +BTWhO4X9nIv/NHw/g5rRT07Z5xrs3yNGz7TfQB26tvikubuXoDHsr29o4JSP +fEdh/2vKGPY78rPYt0/6Destl0SuvUqoGH5UaGx4DX0x+oBvray1kPh7kf+C +7mf9Rci7hT/CT/hq7HcS/3b20FTgN/BL6JpSbcnnb/hSvlWw1oPQmMgxFGsg ++ib0I5DzrP8C8bKxMV3YrjNvQTcsNDYJc4W9XxDjKuVG94luZujaGQxtRjcr +NPZeJ0xEvpncLik09jaT33f4nVPkelJdvY08u8i517prIr+tDey3Dn4kazan +/KZ/Ym/rY++9nvM2CCux6YH9ZdBE1v4UuQ/8lboT5ItjY7nesN7yyMjYqZyM +gP8EKsO2AnpcZwlda0/i84dqEf3lyL2hR9FND/22BkDfoTuMfEvaZ9FbGZd1 +jau2T+ZsJ6J/MWnMKM7bR76DoBmhc6Rc3QA9FbpGVau64/HodkJD0Q2H5oTO +sXKtnvOk1uZM+1LGjCOsX8+3p9H1hBqwPYZvTyWNOX/E7unq7arZavTD8661 +d9nvLnS35V3bwuC9yKuhOdiWQsux/xrqC98fmqb8hq5l1eDJwldhArojrDGa +9Q4Xugep9wgTeoWuReVsZ2ysvbHIuRLmzg6N1Tqzzl6LzaKke94mdO9H7p06 +k862B/mOpPFFs8du5H8S/tYMPwafjvBvqGfH7k1di1yL6lHtkHsiH8wYQz5S +TeDfDZ+V8BNCn109S73rLahb2nequ30T+dkCf6uBf4BvF6Krwf5E9Trkgym/ +senEmxp6VlEOlctVkXuv1tTaO0PfRTnxhnGecuEj/k3oL4ffzpkfTvlN6G1k +8Gnbxnc0FvsM3xamjJHCSvUg9SL57MgZM4QdwtgK4QVnry3029NcV8e31pTP +sIzYv0B3Jp1T5bZD3r1Z3/Yiz4deTRnjntN8wprd086JcrMu8tsU5gp710d+ +S5r5NPuVxp4t1ePU64RBwqIJ6G8KjYnCxoeRb0a+KnbvUs9Q79Cd6m41o92D +/uzYs6Z6knqTZgrNFqrJGvhNkd+eep56n2YkzUqqkcXovo1c2+qh6qVfRcY6 +zZiaNTXDaJZRjgvhP4+MNZqBNAvpjnRXTeh7wx+b86zT+n9uN0bGGvVQ9dJL +Y89Smjk1e75Cfn8s9KzTHHuG0SwzCZs98JfFnlU1g2kWmxS6FwvzhH2roUuS +nuk0200JPZsJs4Xdj4WetYV5wr5HQvdCYZywTpgr7FWMevjq0FgijBXWrmPN +AdzvIOgT5Zr6WQZ1Yc9doRWR345mDM0aZ4euZdXEYuznZj3DaXaTjzBcWK6Y +jbFnTM2amtFex7dT1msotnq0MEXYopmmgHwciTwLqAZVi/rPoP8OM5H3w/8Q +GTuFIR2Qd0TGWs2Emg1355xb9Wz17l6x767k//8GugPdhXpyK3JZ3rOm3lzv +vLGjLutZURiinqHeof9Qg7H/N3Ita8bXrH9P3rnTDJFG15LzXoXhwnJhhrBD +M/z40P8x9F9DGFCG7lDk/z6aiTQbHY38NoQxwpr/AMTs8d8= + "]], + + PolygonBox[{{3363, 2935, 2819, 1382, 3780}, {3783, 1384, + 3059, 2455, 3371}}]}]}, { + EdgeForm[], + GrayLevel[0.8541408278258557], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmHmQlsURxt9dXL9d9j3WKKCkEjD5J2KVKAgsIhGRqMgqy3IqqByLCeAB +GBHEKId47AqL4BWJooiJmsihlBH9I8rhidw3qBxaJkaqTJmUKTWa50c/qfwx +3/Q3b09PT0/30z1z+tibGm4sT5LkEv20Uj9U/fqyJGkSff+JSdKsdr3+X1aT +JDMqk6S/+jlpkryvsY1ZkhypTpKBahVVSfJbjR/Q+AN5kiwqkuRWydqssZYT +Yy5yupeSpJtaQ0WSnCK+68WzQTyfa2yfFOginkJyJ6vfJhmTxbNE9LXi+Uq8 +f1U7W//rxT9Q7THRr+hbD42XiXeW9PtWa81W/2eNn6Xx7ySvvcamqtWJ/zGN +H1S/SPxtpPc3lSF3n8Ywxh+19/2ibxL9J9GHRN8i+kXRd6GT6LckY04RPG+K +nlXE3I22ATwviH+hxqeJfl/jh8uCfknjA0QvEN1ZfR/pcVR7b5SeV7ZOkjNk +zwOV8f0Z8+zQ2FlqhzS+KQ19hkv2q6L7iD4hD1tj871FrMdaI0TfIpkjq2Ov +n8ju87RWIZnna2y8vn0mmetEXyL6ddEXya591ZrE873GnlbrqXk/0byL1NZI +/0at16zvDVpnvb6Xq9Vq7ufaw2NaZ43sf5lk9FdbJL5Py2MuZ3d1q5CFHM50 +dauwf63m3qXvPdQflT57JedYKfTrI3pDKXjbVQV/D+nw0gnyJ/V/lx7Pim+C +1n1Z9Bn6/o3k3C05z4i/VvoPbRVrs+4b4rlMPD/Q3I4aa1K7QWtP0P/F6q9k +X5r7juYu0LqD8Vm1pfiCeJ5UP048P8pi7gWi18kG34u/e2Xsgb3UaXyI5EzV +t7Qq9o0Op6ut0LdCOvxDvGdmsbe3JHuNxjtq/OssYmWodd4mOTskY6PGzlfr +pTZXa6wWfzvx/0v8e/T/BtHPib9JvDdoTlv1i9TmSIclrcIW70nHFvFtUv+X +yog9zn6TaeLxddPoig74bzfbvGcevk/MECPoyzl3F70hj3V+moW/4svLhAGl +qjgj7HyP9Hq6KvRgP4fMczNxK7pSc+eJp1/r0I9vO9WfrX6aeE6WjHO072s1 +d3QpYuANjY0pBXatM3276LHqx5XivPELMKNfEmN8Y94rateY/xxwrxRrgYHz +1YaUBxYuMB6eXh64xH4Za/H4NPsGPoJe6Pc/2dA3in+t/0OfWh7+9rMk9B1r +HQ4pbr+QDS9Ow2c4g5qysB3rPSqeVbLDabLRj2Wr98T3a8kaVoSMMd7Xh2o3 +a3wVeF4ED7xNRYy/i9/mgTPr1b+j/1NFD9H3SyR/umx+qfoe6r+uDNzCvyer +tSmLmJ+i1lb0R2Uhf7XW2lsW2P686Lsla4rot4270Cs0fm8Ra7HmB2VBr0wi +tsFkMGOa9jeqOmJ+QRG4B/6BYWtaRez2kT2O2D7nat9dS4Gnh9WOGXPovzA9 +O48zuF1ylmvuMsdCcx5+c2caZ44fcu4Ttf+bNH5GFusc9lqc5zU+X/Sttc7k +GTALvMK+2HloEftn74OLyB/kiIYizvewdZuaha7npYGXyCP2wUFyLHG5xPZa +nAemEN/kCmzUxtj4Wha5vK903yX6OvKF8y0Ywbn08HlyjrelsY/2hfFO356W +DbZobiP655GfsGvHPGqEYeXhh/dq7lb936zvm9TG4T/ieSgPn5hfhE/gi/jh +L1pHbBPXy6sCo8GkNzV3LH6YRo4k75Jzt2t8PL4teY+mkZsXit5WFvvCl/DB +9vbDDtLxx85x1Vq7k3h6yw4Pp+GXCzR3eBbYNkL9BfpWK57bNL6iFPFP7IP5 +4AVYsa8qchLnsE30x9WRk87T3JPE01NyHpT83ZJ/SHR9Gvnzb+TJLOSQlw6L +nih6JPm6LGxFvQGWdPJa4Fx3Y91krTGzOmoabIE9sSX11xjHFz7LWYN7zOnu +2MT/8Bdqqp7SMxfPpXnEbg/z4F+1ttuZstUA/b9QvLvFN0Nn8u8i/I5cgKwP +pf8E8VyFP2g/f9C8tuIZk0ZubC16u/pfOpb3ZkGPEP8Ojf/KWPRqFrG1Lg2M +HWL9+zjno3t5ETh7vvSZK5+ZXh05cmdZ6IAd3snCDoPzwEhyFL7zcB7+0yIZ +d6Vh67ez8NPxrs3u1vgW/X9P44/kMfcB8T+Yh682g1viWSn61CJ4G10T3p/G +PndmEYfE433iaUrDL7dp/EAW+70yj9oQ3+OsF6Rhiz36fnUa+ahMc4enkUO/ +xD+1/xGlqF9/rv13Vn9rHrXYseqox+AZVoozqKsIn/+95JeJJ2kdZ0xtSp4e +JPkDK8JG2Odq53T+zzOOEi+HXZvVGO/AvT6Sscf+sNu6oVeD5FzcOmpH/AMc +Iu+DRcTBJNe6S137YuMn0jgXzufxNPwZnOhgHchv9B2szzit+bHa5WpHxP+U +1hldEzUX9QT8v0vjvDg3clRqPPxOes2sCizjjgH2DSyiRuc86kXXZ4FlXSVz +pPZ1VSnO+w7JWkXuTMOu6APWTbedoa+oiHoaPT/ROo1VgUHTNfdZsIk8koWt +uIuQf77y/aWTxk8hl7pe6Gx7LhLfLv3/QN/bFTHO+VPvEb/6nMzUtxriS39u +y6KGpJZc7LqEmgS8A0+mSv67VVHLguvU9vC3F89DaeSCBsnoI/4LNT4rj7tV +R8sBC8CEuRr/Zx71Sq+aqG1PspzZWdSf1KHU/NDUM8Qt+kzSvHuzkElty73h +VPN8locccPRa13HURSuzoLnfcC7c70Zr/JE0as4W27jW49uroj6mlmw2hp+D +b2QxlzsivrC9OvxhrOtBaq21WdDcCRamgS/7szj/C60PPniF/fC0ItYlb5Bf +wd750ueHRfBjS2rbDdVR32Iv9nud644BXne+60vqxjE1UYccTaPOZBw8BJvA +nXlpYN4u4z93b3LA7DRyIFhEHiSmuQMedo7fbMwB+6DnpvF/i+v2zcbEe3yn +/Mg5lxriU/sq9T73ZvLIc849yGY+c8HSLzV/tHTeIxt0ce1MfuEOesiYXJuH +jG5p1GgrS8HLervNg9w9XqfB95mT89B5r9clf0PfWcSe2Tu55jdp1LydND7R ++f14ntf/wTq3F/PA/m3Wuc57Iw5XWJ+Tnbt2WCb4jvzmNHxqhXnAd+Tcl4Yd +9tnOxCWxQZzWVwTmgoML/JYCbrT3O0Rb5196arwprsXAcHLkB9aBtxJ40POp +IvRYWkR9MsQ1yhDfUcnB2/VtlHi2FlF/UIcMSiOvkF9GpBHjgxzn4A93W2qP +BsuBBu/BO+q8icZ0zqqDcZq9jHVNPE79V0Xw9s4jn5HXrnF+G2iZy3y3IjYP +pHHv4P7R4rsVcv9ThI255y3xXLCIvt70gFJgDfuZYSwAdxkbYAziW3/z9zc/ +mDPIctBrsXkYB1M4x9lFvGHxjjOviDM46PjaJ50vkJ6rNd5YEfmps8+Sc1rj +cx9UETl0dR70Knw/jTME+3kHwyeJVXyk3vyMHX8bK4uaCV/cnUXtTpzvEN2i +uQtL8UZGzFE7c38hlw+0HGqizY4Xak3O7yPX1+87vkbl8VZwNAvfa7FMatIt +9mfqKmS9BUam8d5wKI8z5qwHZZHzOUdyLjmGewP6sG/uZujDfQC572aRa8m5 +s9LAR+bAj13rHS/4L3sceWI0dCMuwI1zHYPUYluNY2AqdTC4evyuwj5dY4IJ +YOkwx//WLO5kxBdxRh1GvM/3HfpDY2yHPOzBeyT5gLzQQj2Qh45HsojjDa6x +2Tf5Bx/nLnvQ8cs7I/Q9xqsDxp/nU/tPTdxnuNfMFc8befjWy/a9HdaTOfu9 +X/Tb5XjkvkFsLvadcr/lj3O+wj9X5JG/XsijVrzcdcvlzmvQ1KnUq/sk74k8 +aszH86h36szDmbT4XLgDkJMOZrEGPJwRd9wDjhf03ml7TrKvg/PUN+j/QBo5 +YIVzBnJZj7oTXXZ676w5xdjI3rZZPjLwbexA7UbOJl/f77s8d/rXisCbJ4uQ +DaYh/yLXusfv3b6vc568V+30m9ObedRsG/PID13te9ybO1sfzn2Z642N5v82 +jXPlDF53rLAumEkeWG/8bGNZyKF2WGv9qUdesT9/7bdg+Pq6hqPuavZ/aO4n +1K1Tte54v83yRgtvP9d83NO4K4z33bSvca+fZTYZx+qca4jpRvsPdfdy75Ga +FLylXuWdaZ3ja4rf6nmzp+ZiLWqziX5T5W2VN0vyIzqDI+DJAL9hr/Tekc29 +BvmdnJ/IHdRcqyyTmnqpdSDfE+N3+D7KXHiwcbPrqMF+Z+SsaMuNUcv9n31R +lxDHE7LIr+TZ74p4Z2ry/YQznGH/wX7YGRtSW4DdLzle8GPO9E7fI7hPjLJ/ +M3erc/SkmojBOtuZHLfE+2Ufz3q/2AzbUVc0G2OIF/L1k7YDsYlMMIt3HPxn +ZhpxMdI26V2KuwR2J0c2WX/umsNL/7ffcNv/mN8QNljGKNfiyOjtOwn7u8ry +22Zxn2yXBe9I36dWmofz5c1srX2b9+AW5/05ro95n+Pdcb5rY/Ih7+Dk1l7W +HzvwFtXVuEAOx8fI9cf9wvpzJuRaZPA2wbexrj+7eC6xMdc+yTrwk5f5Bg8x +Sl3dzeMrjVddbMdejkHuMc2Wg27M5yz+C+yTgRo= + "]], + PolygonBox[CompressedData[" +1:eJwtlntMl2UUxx9+ir+L74XSpLs6c2U2m64Jtpq0mZq2BEXFZQV4KVFDMFG0 +EkEFEUSxq5fUpst1U7NV5h95K6dpKpiIWgroPza2WjWbmvX57vDH2XvO8z3n +POd9nnN5eucXjn014pz7FOoMzUhxbnvMuWjcuQr4zaFzA5OgLs5tgX+EtSlR +5/az9obnXD60CX4ATmp9585i19rVuWS+7eiNxWYO2Hl03kc3C7kQ+Rzye8jj +kIuQLyCvQ94X4D/ZuanQfvivQuO3yQf4fNYehd+Mfgl8FntOQD6InAk/BLoN +eSlyOvw0bD6CT2NtA3I/4s+J2tpUsBehdfD9wFeCTyXungnnijmDu6Fa9hgP +dgCdGvj/9H/gc8AGQ8XY7wDLQGcH9gORuyE/xh492SuCbhtUhG46NIb/mYXu +WXTeQXcR9A38KNb2YN8fm9yorS0EK2PPp8B2Ii+Gnwn1Rl6LXAB/hHhucd7j +8L0KuzLPzkIx78XfZ/irYP9dnfCN/DeUCjYa3b5gG/CRzvnmcr9/YtsKPhP8 +DD7eQk5CpxZsAf5HwA9lrRpfX0ID0F3s2dmMxqY//3YOOQP9LHzuwvdcz2JP +B78LvCIw3T2slcOfZW0+8jj0m+Gns3an7gJ8GvzrnunqDO4B3x2YbnfWBoHt +Ym1oF4v5frCHiXFy1O6kCHwb51PJ+fwYs//sHNhd6Yx11gcDy631/M8h+FT+ +aRn8FXQ/wf4icgH4z/irR77lW64rh5RLmeyvAmoGf1fnFViuKQbFsoC9S6DU +uN3BDd9yLRv8IfDBgf3LboovDb5Y/6B4FD/8GGyHc3/7YlZTGexRCFZKfE3g +tweWO6pJ1eYIdO/F5ljMbKajvz3JaiaVWK+zfy/4LPQfRP+f0Hyphq7B50Al +8C3YbMJ2I/6HJNvZKVcqWTup2kHnBL5WIJ/SXSE3ILchf8i+W7mTKP6XIB8H +zwf/AbwC+SfkPOQjyI54C/mv69ikQc8T+zDoBvwdrE9Bp7WT5ZRyaxl0Avsp +2B8Dq0M+jfyK+gNyLXIj8suqMeQG5LqIxZRHPCuRG8Cn607BH2CvAwmr5dPQ +KfUr8Mns1wA/JLC7GaQchl/rWW0oJ1qwn+Eb1kyMBfBrPMuVGeC/Ivdhz2Gc +dbX6E1hTaLWmmBSb/vVgwnqD/rkNm9lgTei/DT4c+h3f7VAxWDb2xeC/gK/3 +rMeo17TpjIhvB5SZbDXRDH4I/0fj1htUAzm+xfodfCm2l8GbO3p1Bt/ZyPVx +q4cecetdV+LWC9XDHvcslhYoT+eLfgP491HrQX18sy3H7osUmyGaJeoZ9/mW +88p9zYw8fE3Gfl7C7lo10hv8SfAK9UTPcvnphMV7rCNm8TehMp2tenHcZK2r +NyclLJfUo9ux3xq3/FUeHw6sDq8pH+FzOc/LyTZzPvas5lX7z0Gfg49Msd43 +i3j6+lYzqh3NjBc8y91s9vA6clg9Vb21HnwieAybr2PWQ9VLD7CWHbG1ucjF +xFodt7OWj4nEMw/8EvYfoJuLzpaYzeC9YBOg18AvIm/0rAerF6tn9VBv6Wo5 +rVw+Dz3r2SxMwWYR+Eue9RbNkAi+mn2rHdXMKrCbnp2Ncu4S+MLAerd6SKlm +s2ezVz2qa2g1rlpXjK1gI9EJInaHukvliHJFNZyveRTY2erMdfbjobmqFXxu +wP4ZbErxVYfPCPwkz2adZsJf2PYKLNdVoz3hczw7a/W0Kt/uSHclH6N0F57l +Ugi+ECzLs1rUDFyCvDOwWaWaUe1o9j/B+V2N2RtgZor1AvXcAvWP0GLVHdTA +Lwmt9+tNUw7f6FtvUU+sZq/Foc16zYgyzb/Q3j56Ey0N7R/1r3pz/ab5Etpb +S2+If+G7BdYL9GboDj+N+E7FrVYV4xnfep16Wg32a0Lr3Zqp9fB1oeWSevpq ++Au+9Sb1zNXov+nZW045+a1mX2hvNb3JlsOvCK3X6I6q4WtDyz3l6Cr4sZ7N +ar25rhLfUd96s3r8UrDDvvV6zYBy9WbibuR8L8WsZ/zh292oR6pXnvRtlmjG +VCm/0Z2UsFyWzXG/Y/aALwevDO3tqJ5YBf8/wClw1g== + "]], + + PolygonBox[{{3358, 2841, 2815, 1337, 3742}, {4225, 2300, + 2939, 2458, 3564}}]}]}, { + EdgeForm[], + GrayLevel[1.], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmGuMVdUVx/c87rl3mHPPGV7ODAPDU6vjeyAV7Qf5UmKMpYL4KElT0Wgi +YrXO0AariFKtFm3FpLZaRJp+aEm0Jq2jqAXFR9W2ivhgVFAGKdPwaIqtiYDa +9v9z/Sd+2Hevu8/ae6+91n899p562bULvtuYUurUT5P6TxtS+oZap9pMDcxS +u1Pf+tT3q/1WPH8YldI/WlKaWIuxZWp3iOd1jXeoXajxnZ4D/5wipS3NKU1u +S+n6hhj/ncYPief3oofU78hS2i+enhT7LvWai0wjwwtau1ntrFrsyd6s97bm +bBJdV99reRhfWk3pbNHPa/ypWsjAekMa36V2vuhRGq9UUlqcYp9F3veg9ulR +u1XfD2rhpZp7i+Sf3xTzHhD/++Jb0BRnZZ853ov/883zUhb0/Sn6BaY5M/y7 +GqMxf5vGH28MnQ+ILlpT+lgy3CsZlkiGYY1fpb5oCj54bszibMh9m2ySNGeN +/p+r8d4s+A6p/5dai87ZrTZKZ5+kfq3mPNEY9t7cFDrsQod5Sgv1/Y9F8LWI +fwUYkSzb1C6qhe04w3M+yy7TK7XGB41h9yONIfOw1n9D/dekw9Up9LvOPI9q +rUc8h/2P2I78f9886Gx+05eYogc/rZxF7VrRN2XBx5wTJeM/1VZp7U987uvE +82Ee563KjndLVxeJ5x7NWVdE362Nf1gPGc7Lw+bo/jPJf0D0oDEKxmYaJ/sa +Q4/osC493afvG7VXXgv5rjUGdhtvYA8afdAPefxwFrLmlbBv3Wteo+8D1cBy +oW91tZtS+M1j2uuw9p8nvsf0fYIxD93hsQGPjytCtrFF2JN9VozYqCFwi24e +Nx6GvTfjzehAc7+eov/U9Ktqp2id19Tvk+xHNT5X9HAWPGeIPk94vEZ6bpS+ +zyhC5q8WcWZ88K4UGINebf/tawhsv6x1tltXG6pBv+l5Q+afoL5L7ZkUOqxb +5wsl85lqM7XWiizwUWsKXxhlf+9vCD2z12+aA7vrfH7GiYHg8BHjapbtDj/f +C9MHtWaz1rwgRUzqc/xBl4XtuF/nH5AepkmmxW2BmTeEsfPrcab59Tj3F/O0 +zux6+OSZ9diz13sRj/Bv4nS3z/eCxp+uh3+t1JoDzWFXsHGV9lyi9j/xFrXA +EPgBH7PwS2KOvh+QfNP1fVj9FWpdtZCn12cBS+CMeeyPvyDDslrkAb6hu5WO ++Ulj/zYG2rX+1lFhE2yIXTnz6ZLlNLVnHRvxE3AxSTynepy8sFPtBOMBHuLn +rUWcZZX6m4vwtZXqX8mCD57v63+jxn+gfnkRcf6GItaAB1yBXWTY6vVfsWxv +V0IGcLW9ErIiT+54iA7Hqj9W/59OEWOIsZeJnlwEnqaob/I4eBst/un6/1SK +2NQ/EluywBD4AUfQzEuV+Mb4y2oz9P+VFPg95LjG/jO85lfUH2d52POQ933d +fPBsrYQMTyJnNc61RfQxontE/5W83Bx6Jxf/XW03OU1tD7Eem6SIgztsl8k6 +x3spsLTT/INqf1M7qRJxYtjjL6bI19vVJqq91RS8T3gu9J+9x5B595ou/P0d +89+lgcla/24+CLMzJMcHIjc3hx3BwJhq6AS9fa+I+HW9+rZq6A29dlRDTuQd +J/p40X9xbDnF8neL7jVOZlaCRm/Has8PU5yfHI5/kMenVCMnvp4iX6Ij/G1i +NfAG7q6QHAclz5VFxDPwSEwjDxDLiGP4d7t9/HLxvud8yjxyEvpfW0QeelD9 +9ix0hm6XtwX/JfXIXfCT3z+vxnzmjq8Gbv5ku+/NwmfR13HWw7ZK8IAr/h9v +nJxQCZq507OoCagBjnqd2SlixD7HVHSBTtDPkOMT+YX+iOmrKlEz8P9oNWIg +MmNP7IpvXtocuAED5Ny8Gv+pWciLyLHSZ0cHc1xjPj+CvSzWfEv8J6tt9tig +x7Ep+epD+zv2oH7AH8lzc31GaPJgk/10oejXRE+tRA3QoH5/FvPQV48xtsNy +UOeU1eDHH/HLaabxgSmiX0rRphmr5LfDrhPIX33GB+c+7JqsxTKDnzdFn6i2 +Cf+shM2wF2M9Hp9dRM44swi/Rhfgh7x6smNgezXmwo9th40T8vywc/9u+zn+ +uaSI+H91Eb671z7fWY290flHzRHbD1mX+63P3Y47L9rv99j3keUkz11hPODj +7L/XMmDD7a7TyCXUF9Th1L0bnfuoJciV+NuJZYzfnEf9iV3AAJgCW9ix1RiD +7hL/o+K/MQ/sEy/QZ5dzILXW+Cx8Bn/B5/bb17Ddo65PqLXOdX0+6D2w+T1a +f4rGf1ZGrUCOfzdFXv12FvXIG2XQ28rAWHLtgSzjLQ92Oeo6DTtOcIzb5dp/ +pO6iBoSmNqzbj2icF7nIxRMdB8kX3Y5fU6sR44iD4LTV+kEn5BLw3p4F5pBn +wHUp9ekDeYxfIPnX5ZFfLy4D/2OyyFMP5pGDL9L4r/LA8ULRD4keFH1JGbxj +zY8fFdWQ5f489L9APD9SGyeeVWXEM/IBdimz8NWNtnWrz7s2j7hwIfrPIq49 +51iIfol/+GvpvYhlHa6jHqpGzUx8Jq9iR3LEvV5rjW071ePUkP0jd+1K8Dxn +v+cs+D15e6xzFbKPtfw/zyMO7qkHL/I86ThRmJ6o9SZl4b+n237YDhtCIwM1 +TncWtQ15EP/c7FxA/ieGfyK5l5OTysAa8Y9YB66JE/CRH8Y712J/4gWxApxw +tpG8wHpznTvanWuprXf6rrfMtS53qx6vxTq/LuM+u74MHHdYTvyHcd4HuE+9 +5LqOWNFlzBNvOl3fgOMJvi9wP+h0/CSGcybqtyVtcS+9ui34wT/5uisLbLDv +SV7nVccWfGm1YxfxDyx1ZoHbTfYvMAfesMnbjqs9Pgt54TTvhS3A+EzXGCM2 +o/bg7t7tOPbTMmx3dxn+/kAlYjL4bMsCA/Nc54NR8uDZfnPAb6gL8Z1er7/F +NH49kquhsR37TDZOGJvqcWL4Idf5i3x/usP2JO5yTye3kNeP+C51QyXuYqyH +7z9rHE6qfqnvSdYDvjJoPQwWMXdOHnljh3PHkHMLsZv1a76vbfV5OAt3GGTh +bvV5Ge8m/1U/uhY1JLab6bjW6xw+xfHhl3noar74G8vQ83fy0PFo63mp74bg +sN/4Bc/U8geyL+8B9GDsgOsCMHe17kbn6J5MDYtci7wOOWWZ8wr3BO4L5Bfe +JFb57sBbBrlkj+Tpq8X9kJprlt+IWIe6eJrzCFigFiVe8Z/8Qm3JmbizYUdi +DfXxU44n0CP3D2IQteF9ecTPb5bxfbT50WW39QlWW5xvuIc1OE9Va/EfmpzP +OHmKeo03F87FvFG+Z/He12df5d5JPckZuc9xX1psXz7LPNyruV8PlqFL3v3A +JXfPDa6zidPE6wnW7UOO28zvd0zgvZK5p+fBT+6ihtxr3M22/PtsSzD5kXM9 +fgY/fkcd9NHIXdg1Gzjs814DPvtnfndZU4kanXWWu84B09xtZtiO3NWP9b0L +e043jT0v9LvA7cLVitbQ6cW1uH8zzvtWf3PUn3dWos6m5mHexea5pBb3li/u +LLX4D803dM055vkb4+RuMABehpojN1Gfd8oGD2usLw9bNdlexP+OLGIjfafp +O8r4/2P1P1GbQGwvI353OIY/XUbtdGlb1HH4MHgj5k90viPmM5dYfVcZ46u9 +XpfH/5P7/a6Iepoan3qIc7T5LNRv6Aj9tNh3r7MdsSG+c6trkVvU7y+Cf0Ee +NseW2PHjIuhv5WFL3qOIUSvLiCM3q/9FHvfz88uwOTXuCO8K32cX+D80tcAY +1wbEIeYSi97V/MX6/476VrX1Gr88D4x/5hq1z3ECvG+ohE/ij7wttLhGLawD +6pBW1zvUqNzPuIuCVepZ3jrhXy+8DQtvc1vC5rytY2v25w0RH6fW5h0Kvyae +dTmmUQsc43pgwHUU46c6Zz/jGuOYLOpJajrqbGqh28sYv62MGjt3fmwv42xX +5lFHjTM/ONzg+EN9t9h3V9Zo9/rEpPWOS+jkYeOWGmec65z/AyriHsk= + "]], + PolygonBox[CompressedData[" +1:eJwllltslUUUhcf29HAu//n/g6Clgi0FiYHGGCAIFVH0QYmSiBVoTTSCXBKo +N64KElqooAiFtgoqQsH4RKLWIIiRSGKCd4W2IKgPxIBihJp4IREvqN/Kelg5 +e/17z8yePXvWnOqHHqt7tCSE0AFSYEEhhLOl/JaFMC4KYWccwk8EtPGtE7se +/5yUYxZidxGzFP4n/Cn4KPAm9nTGj8F3MglhR6nn+B3eDCYSv6dfCGOLIYwk +/g38XRnmgyfwZvhrxFSx3tTIc78PxuMrzYVwGNxIfC0YQMw2Yo/jr8P/JfHV +6RCGgjbW3giGYF9HPi8QuyWxbzR8G7wVXgm/Hr4V/gXjq9L+thnfZ/DB2FeB +5+CfwiuwB4Fn4RsS+2oY/zzjj+AfDh8GOvDtBmOw7wQHsXdpTIm/vYrdnjh2 +LONfZPxkahCxry74YHyfM9/Vae9hE/yZxGuPxN8Ru4aq5TH2P4393wbvn3GN +D8I3E1NN7BHtN/IYje0F2+Fb4MOxj2p9eBt8BHY3eAneDr8Wuwe8HHmP2usx +8Erkmqq2x8GOyDVULb8CO+EXyXcF+WbI7wS+f+Gr0q6BaqEz09nNIt+tkc9E +Z3MCdEauiWpzEuyC38r+Yvb3LryG8Y/QC3flQzhN75Zk6Qv8f1GPDfjPMfYw +Y5K0e2Qg/GvGzE77jHRWykm5rdQa2JUF9/pM5n2r6Dugu7Cf8RPwvx27t38h +/72xIVtzfsPckyPPpZ5Wb9dFzuU84+cSuyry2RbAGngPYx5Iu+fV+93wUyX+ +1ou9hPjXic2B1cQ3Rd57JdgInwPfjX0ZWAafRM6pjL/lGb8c/l7GNb8Ef5D4 +7fj+Jp/Hif8Q3h9fUTngXwMuT7sn1BtNiX3qIfXSzczXj/n2wMvx3QLPZZxj +BfwT5isn/kqwHj4R/yXOox3/BcavS+xTT6m37ovs+5V8FsA/hl+BfyB4mtiW +xLZ6Ur35Ef4Baee4Ft9NzB8y3lMJfH7k3FLgSeLnUtNO6vkB80+GL6FHpubd +KyMYt4/x6znrh/H3EXs0Z42RtkwHPdiLia3Cnpmx/Q7fhmf8LTBXa9Y90w4/ +n/Uamlsx+4ldBK/EHgZ+gO8FQ7CXgV7s8pzXqgd3MF8jPDDmFD/HsCtyXrsB +HMA+l/Vc12Tc+7v5dnvWd+B77LPYg/EtBRfgNaAFuwMMja2tqolqMwrfuqxz +Xwsai9Zi9aB6cRzxF7H3MWY89pqia/Ut+23GviG2T5ov7R8dudbqOfXeJPyH +UtaAP5hvXtY10N6VYwq7WTXLWNN/znkPyl05zypaOw+Qw2nmXs1+47z3ojwG +5VxD1W4G+DHrmqlWqrFq352zT2egtfpy3qvWXJhzzVXr/zLuGfVOGVgR+47q +rsZgLfY9BWut9qS9tYKqMmuutHdmYu2TZku76xNrmd4UvS0zEmul3hS9LS2x +55amSdtqmf9QqTVMWtaMP1/mN0Fvw2L4Pynfcd31J+AlZb6TupsrY+euO6m7 +2Qj/LeU7orsyH96X8p3U3WxIrK16M/V2SkOkJZpzubQusdbrzdPbd3fit0Sa +Km1tKLgX9J9A/w10h3WXtebC2BolrVKNNsXWHGmP9rAotqZJ27THptgaKa1U +jvOwz0Q+e/2HmF30fwD9F1CNJmDfm/gtk+ZIe84U/JZ8B+7XeSV+y6QZ0o5p +id86aZ60rza2tqvH1et1id86aZC0aEred053TXfyf9HZI2U= + "]]}]}}, {{}, {}, + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwVzzsvg3EYhvGHxeBQm4hEGcUkBsdSZgPdTA6tJtrEMeoYLUZ8A8dPwN4v +QQfd2awkLMTPcOV+nuu533/y9i6vZ9YaIiKLh5aIw9aIGTkkhzGC0faI97aI +DJ+TK8hjjP+U8/yqLKCIcb4xEbHAb9g3sYUU38xn+R17CbuY4Dv4PL9n38cB +JvlOfps/tpdRQZrv4o/4E/spzjDF9/Nl/tx+gUtM81X/UeEHzbPmOaTcvvS/ +8WKu/7+t0+dW0Cviya2GZyT4pE4Pcua0TOoM+KYkf3R+cYt73KGKRbdXnSb5 +JpdkTdbdPuSVd65xg27vPrr/ATibNGE= + "]], + LineBox[CompressedData[" +1:eJwV0Lkyw2EYhfFXb5vhBrRKM4KrQCz5F6l0FFGriF1CNpKIJbkHXIKdqKNO +6yL8UjzznHO+ma94pza207mhiEiQHY3oj0TUhyPSPKFP4llfHItocEnflffw +oi9xk8v2vLyPV32Zr7liP5AP8Tb4l1tctR/Jx3jXV/iGa/YT+RQf+irf8qX9 +TC7gU1/jO76yF+VzfOnrfM91+4Vcwree4TY37GW5gq6ecIeb9qpcw4/e4188 +2B8xY5t2k5Q8h1ksYH6QvW1620IGCXbG3Qh5/OlP/A9ynzTB + "]]}, "0.8999999999999999`"], + Annotation[#, 0.8999999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwV0DlSAlEUBdBn7rQCq4zdgQswtsQJjYRcq9wBIIOCOG7DUtdgAYrzhIgT +sg4DTwe3Tt/7f3fQk5mNufWhiJiVi+GI5khEjg3m2WJqNOKKBf2SW2xz3n7D +on7NEm+5YL9nWb9jhQ9ctD9xW3/kDp+5ZH9lVX9hjR0u27vc1d9Y5zvT9g/u +6T3u85Mr9m8e6F885A9X7b880vs85oAT9vMx39RPPZ8lXXp61nlG1mRa3+RM +8r77f8n/ca8pLZlydjIe8Q++3zku + "]], + LineBox[CompressedData[" +1:eJwV0L8ug2EYhvHnE4OIfzGUSAxN06CE2dQRtWBhIdUwWAi2ColYJNIzcARE +hUjRSctZWKxiErGQiF+HO9f9PNf7vW/ypUs7S9tJRBRlui9iticijYWuiDd9 +HsvdEVX8xAy3oL9zi3hsd4PfmOWW9S9uBU/t7vAHR7hVPemNWMMzuxr+4ii3 +rndyJazY3eMfjnEbeorbxHO7h9Y93shxu/ogt4fXXB3buXGurA9xB/jINbCf +m+AO9Rx3hHWuifv2HXqCM61/IVlzAeekTT6c28ITGeby5klMyYBcmqveuJKi ++y/MU84+mRtSs3u1a+rP8iIZ39068w9MMTHM + "]]}, "0.8099999999999999`"], + Annotation[#, 0.8099999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwVz8tNAlEUgOGDokh8F6AJFdCLdqDxkWAgstZC1BZQdmoFPqAEFTbigCYq +iKwQ+Wbx5c89c09yp7BT2SpnImKb7FLE80rEC0+0abG7GtHRN17pkrBn/qXf +fDKgz775n04YE87/WtJ5csyRZ4Ejxst2OOOCc8rpnobdml5xScV8xmyWa+db +blh3/vFtyIARvyT+61Eb3PHAPU2O17zJ7qLmtKpd9w/1XfPa0wMt6mY6d29D +PzShx0m6p6daZwqSXDmx + "]], + + LineBox[{3966, 3885, 3886, 3884, 3888, 3887, 3090, 3890, + 3891, 3889, 3893, 3892, 3091, 3895, 3896, 3894, 3898, + 3897, 3092, 3900, 3901, 3899, 3903, 3902, 3093, 3905, + 3906, 3904, 3908, 3907, 3094, 3910, 3911, 3909, 3913, + 3912, 3095, 3915, 3916, 3914, 3918, 3917, 3096, 3517, + 3518, 3516, 3520, 3519, 3097, 3522, 3523, 3521, 3524, + 4117, 4119, 4118, 3098, 4013, 4014, 4012, 4016, 4015, + 3120, 4190, 3296, 4102, 3297, 4191, 3295, 4074, 3328, + 4072, 3327, 4073, 4261}]}, "0.72`"], + Annotation[#, 0.72, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3089, 3868, 3869, 3716, 3952, 3106, 3953, 3870, + 3871, 3717, 3954, 3107, 3955, 3872, 3873, 3718, 3956, + 3108, 3957, 3874, 3875, 3719, 3958, 3109, 3959, 3876, + 3877, 3720, 3960, 3110, 3961, 3878, 3879, 3721, 3962, + 3111, 3963, 3880, 3881, 3722, 3964, 3112, 3965, 4243, + 3318, 4230, 3319, 4231, 3314, 3634, 3322, 3407, 3635, + 3636, 3323, 4063, 3234, 3931, 3235, 3932, 4026, 4189, + 3294, 3791, 3792, 3793, 4262}], + LineBox[CompressedData[" +1:eJwVzj0vQ2EYBuCnUZU21TY+htImulkkOjQWk4XFYjPUcAxMPYQNv4AEC/of +/BR09JFYGCxtoishLsOV+7mfc973nEaSbnQyEbFJUo54LkW80GaL2WLECG/m +dxK2qdnl6JsH7LBL3W6ML/M3HVLm7PL/d/lGlgO7Qxp2Ba7HI25YZakSsSYn +5CRTlL2z7v2mOevZ0B2jctnu07OePpRH+jEnVPSafJQt555kXV+hqxedP5cX +XLKoX8m8PJUFeSZLcp6+801ZZYYffV/ukfKqL7h72vzhf371O/2eB27d9Qc1 +bSv/ + "]]}, "0.63`"], Annotation[#, 0.63, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3245, 3449, 3145, 3380, 3381, 3382, 3655, 3456, + 3151, 3386, 3387, 3388, 3657, 3463, 3158, 3390, 3391, + 3392, 3659, 3466, 3164, 3394, 3395, 3396, 3660, 3468, + 3168, 4146, 3397, 3398, 3630, 4036, 4037, 3796, 3797, + 3134, 3361, 4173, 4174, 3993, 3995, 3994, 4045, 3610, + 3611, 3424, 3647, 4124, 3117, 4213, 4091, 4092, 3996, + 3998, 3997, 4025, 4185, 4186, 4101, 4188, 4187, 3281, + 4053, 4054, 3738, 3739, 4253, 4258, 4263}], + + LineBox[{3666, 3504, 3188, 3401, 3589, 3590, 3259, 3505, + 3189, 3402, 3591, 3592, 3260, 3506, 3190, 3403, 3593, + 3594, 3261, 3507, 3191, 3404, 3595, 3596, 3262, 3508, + 3192, 3405, 3597, 3598, 3263, 3509, 3193, 3406, 3599, + 3600, 3264, 4010, 4011, 3755, 3756, 3118, 3362, 3623, + 3624, 3622, 3626, 3625, 3124, 3431, 3432, 3413, 3414, + 4216, 4223, 4250, 4275}]}, "0.54`"], + Annotation[#, 0.54, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3257, 3486, 3175, 3485, 3176, 3487, 3662, 3489, + 3177, 3488, 3178, 3490, 3663, 3492, 3179, 3491, 3180, + 3493, 3664, 3495, 3181, 3494, 3182, 3496, 3665, 3498, + 3183, 3497, 3184, 3499, 3609, 4009, 3285, 3752, 3753, + 3754, 3286, 3423, 3422, 3421, 3129, 3438, 3141, 4061, + 4062, 3774, 3775, 4255, 4260, 4279}], + + LineBox[{4152, 3654, 4128, 3143, 3800, 3144, 3448, 3244, + 3568, 4130, 3149, 3809, 3150, 3455, 3248, 3572, 4132, + 3156, 3819, 3157, 3462, 3251, 3577, 4134, 3162, 3833, + 3163, 3465, 3253, 4208, 3331, 4095, 4163, 4164, 3364, + 4166, 4165, 4096, 3302, 4198, 4226, 3356, 3133, 3373, + 3347, 3348, 3241, 3751, 3750, 3935, 3240, 4142, 3770, + 3771, 4020, 4021, 3772, 3773, 4254, 4259, 4265}]}, + "0.44999999999999996`"], + Annotation[#, 0.44999999999999996`, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3074, 3652, 3653, 3445, 3447, 3446, 3937, 3566, + 3567, 3452, 3454, 3453, 3940, 3570, 3571, 3459, 3461, + 3460, 3576, 4077, 4078, 4076, 4080, 4079, 3300, 4033, + 4034, 4030, 4032, 4031, 4035, 4204, 4205, 4106, 4207, + 4206, 3301, 4196, 4197, 4104, 4195, 4194, 3115, 4122, + 4123, 4121, 3558, 3556, 3557, 4218, 4219, 4270}], + + LineBox[{3949, 3853, 3854, 3852, 3856, 3855, 3083, 3858, + 3859, 3857, 3861, 3860, 3084, 3471, 3472, 3470, 3474, + 3473, 3085, 3476, 3477, 3475, 3478, 4111, 4113, 4112, + 3086, 4005, 4006, 4004, 4008, 4007, 3116, 4181, 4182, + 4100, 4184, 4183, 3292, 4069, 4070, 4067, 4068, 4251, + 4267}]}, "0.36`"], Annotation[#, 0.36, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3080, 3829, 3830, 3692, 3943, 3102, 3944, 3831, + 3832, 3693, 3945, 3103, 3946, 4242, 3316, 4228, 3317, + 4229, 3311, 3631, 3320, 3393, 3632, 3633, 3321, 4060, + 3232, 3929, 3233, 3930, 4024, 4179, 4180, 3786, 3787, + 4257, 4266}], + + LineBox[{3565, 3443, 3444, 3378, 4150, 3379, 4108, 4109, + 4110, 3073, 3651, 4144, 3329, 4075, 3330, 3643, 3309, + 4046, 3310, 3679, 3680, 3681, 3077, 3607, 3283, 4148, + 3284, 3608, 3649, 4247, 4248, 4237, 4238, 3279, 3375, + 4244, 4245, 4232, 4234, 4233, 3341, 3366, 3367, 3339, + 3352, 3127, 3642, 3128, 3437, 3436, 3628, 3627, 3346, + 4065, 4066, 3784, 3785, 4256, 4280}]}, "0.27`"], + Annotation[#, 0.27, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3138, 4028, 4029, 3794, 3795, 3132, 3359, 4171, + 4172, 3987, 3989, 3988, 4044, 3605, 3606, 3420, 3646, + 4120, 3113, 4212, 4089, 4090, 3990, 3992, 3991, 4023, + 4175, 4176, 4099, 4178, 4177, 3280, 4051, 4052, 3736, + 3737, 4252, 4278}], + + LineBox[{3658, 3458, 3155, 3389, 3574, 3575, 3250, 4002, + 4003, 3748, 3749, 3114, 3360, 3618, 3619, 3617, 3621, + 3620, 3123, 3429, 3430, 3411, 3412, 4215, 4222, 4273}]}, + "0.18`"], Annotation[#, 0.18, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3137, 3355, 3131, 3372, 3344, 3345, 3238, 3744, + 3743, 3933, 3236, 4141, 3764, 3765, 4018, 4019, 3766, + 3767, 4264}], + + LineBox[{3140, 3934, 3237, 3745, 3746, 3747, 3239, 3419, + 3418, 3417, 3126, 3435, 3139, 4058, 4059, 3768, 3769, + 4277}]}, "0.09`"], + Annotation[#, 0.09, "Tooltip"]& ], {}, {}}}], {}}, { + DisplayFunction -> Identity, DisplayFunction -> Identity, + Ticks -> {Automatic, Automatic}, AxesOrigin -> {0., 0.}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines -> {None, None}, AxesLabel -> { + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + FrameLabel -> {{None, None}, {None, None}}, DisplayFunction -> + Identity, AspectRatio -> 1, Axes -> True, AxesLabel -> { + FormBox[ + TagBox["x", HoldForm], TraditionalForm], + FormBox[ + TagBox["y", HoldForm], TraditionalForm]}, DisplayFunction :> + Identity, FrameLabel -> {{None, None}, {None, None}}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLinesStyle -> Directive[ + GrayLevel[0.5, 0.4]], + Method -> { + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, + "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + PlotRangeClipping -> True, PlotRangePadding -> {{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, Ticks -> {Automatic, Automatic}}], + StyleBox[ + "\"max(x, y)\"", FontFamily -> "Helvetica", StripOnInput -> False]}, + "Labeled", + DisplayFunction->(GridBox[{{ + TagBox[ + ItemBox[ + PaneBox[ + TagBox[#, "SkipImageSizeLevel"], + Alignment -> {Center, Baseline}, BaselinePosition -> + Baseline], DefaultBaseStyle -> "Labeled"], + "SkipImageSizeLevel"]}, { + ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, + GridBoxAlignment -> { + "Columns" -> {{Center}}, "Rows" -> {{Center}}}, AutoDelete -> + False, GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + BaselinePosition -> {1, 1}]& ), + InterpretationFunction->(RowBox[{"Labeled", "[", + RowBox[{#, ",", #2, ",", + RowBox[{"{", "}"}]}], "]"}]& )], + TemplateBox[{ + GraphicsBox[{ + GraphicsComplexBox[CompressedData[" +1:eJx9XQd4VcXyBxsootgQxN59imBFRVh9FnwKKorwsKHos/LEiqAiPGyIBQE7 +RQyiIIoaJJQghAuEhFCSmxASkkBubpKbHkSwi/975+xvxplr/nx+3/F395zd +ndnZaTvn5IShw2/6z16tWrU69qBWrRJX+2/yyf+K/5fqNA4xLkn7b/y/HNMe +ZkzNJYWMtwY/MN7zZ+LfdsaT6PkKxicl4ORKxgvp8WrGfWjAWsbF1H8944dp +go2MLV1/fw0xBn26PcwY9AGDPmDQBwz6gEEfMOgDBn3AoE+vyw6DZZ3+ni65 +avpChr6QoS9k6AsZ+kKGvpChL2ToCxn6Qg7rpeVsh8Eid3+/TkKXvYI+YNAH +DPqAQR8w6AMGfcCgDxjrBQz69L7ZYbDso7+Xu1ASHbpdrnr9wmb9wmb9wmb9 +wmb9wma9wkYew2b9wmb9kvXC3++jUNK6WDqA7RX0AYM+YNAHjPUCBn3AoA8Y +9Gm9tsNg0XN/rxdCSXJm18XSAWyvoA8Y6wUM+oBBHzDoAwZ9Wk/vcC3p7b/X +c6GkfWPlzK6LpQMY6wUM+oBBHzDoAwZ9wKBP250driU79Pd6O5SkB+y+sXJm +6QC2V9AHDPqAQR8w6AMGfdqO7nAt2VXQZ/W01WtWD1g5s+ti6QC2V9AHDPqA +QR8w6NN+wQ7Xkp8A+qzdsXra6gG7b6yc2XWxdADbK+gDBn3AoE/7OTtcS34P +6LN21Oppq9esHrD7xsqZXRdLB7C9gj5g0Kf9th2uJT8O9Fk7au2O1dNWr1k9 +YPeNlTO7LpYOYHsFfdoP3eFa8kuxXtYvsHbU2h2rp61es3rA7hsrZ3ZdLB3A +9gr69HytXxpqwc+xfoG1o9buWD1t9ZrVA3bfWDmz67IjiS57DeabwlesJ/CJ +NH4Dt2u+2Hb4PU0mPpFx0B7wLd29Rb/XMdb7Qtr/Xq7Sefyg30zPzxhjrSek +3e47tGO8YN65bhjdWMVY81/arV5CO8aj5skFfv2jjLG+tt3qbbRjvGtonGJ/ +jTCG/Nh2a9fQjvGCfsuSrpDPln7HePhdzyfS4jxamjf6RTv6tXyzfGqJr9q/ +jPJ4dl3tOra07hgP7RjPyp2Vs5bkEuOhHePZfWH3wf+/b3K4HePZfWz37f+/ +z0PcjvGwj+2+13pkB+sBtLd0tXrCPvf387R8ED7bdbRyYuXQyrndR3afWj1g +9YzVY1YPaz3YbPTuZMOPya6l3/Ec+rHXlvpFe0v94D7w2+pz0IWr1u+ZZh1z +GYOfwOC3bo8wxnoB6/VNMfsixV1N/wP7MC9pnpgfMOYHjPkBY366PcIY8wPW ++z55XHvF+MAYHxjj6/YIY60HM923dK3z92WbfZZMt52HvWI+Wk+WmfYIY8wH +OJCfGkeXk/OMPOWa/S/rgH2G+QHjPmDMT9vHMtMeMXo66qjbtM1J627XwfLB +XrXdA454/bGV5QHtkFdg8EOP39SiHFq5sOti5wX9p+12jDHmA4z56PGaWtwH +Vi6tXAR6chvzRdvhiPFnIoZfEcOviOFXxPAreV/afWLlVK+TzEvbiajxk6oY +Y77AmC8w5qvn05SkN7SdymSMfRP0W52kZ7DPsc+w/nadLV/tvPX9VYztFfQB +gz7t3zQl+b1W7q3c2XW2fNT3VyXNA9heMT/tDzUZPz+D7YbWWw08f7tP7T6x +cmnXXd9flcQ3O09ge8X8dX+1fp6r/Xgx9wj9vsH7LaW+vdzRcH9u8f0gn5fm +51HPfIBfoDHsbRM/B38BGPPR+y5m9EJV0jwwT1zBR9yn90t+Ep163LQkfuF3 +LWfZzH/sM603I2Y/yX7Vfka68Z/SjV+cye3AaNf2Fv9yuV3boVattP+UauxA +q1ban0o1ehnPR7hd60Xk+aPcruMS5Mlj3K73UatW2h9LNfKTavzFkNP8CBl/ +MWT8xZDxF0NO0xMy/mLI+Ishk3dKM35ajvGTcoxfkmPsco6xiznGDuUYuc0x +40MudiT5Z8F8w4Y/YcOfsOFP2PAnbPgTNvwJm3xRrolTcnl+1j8L5lXI8wPG +fcDaryk0fkWhseOFvM+AtT0vMXqlxNjzEh4PWOcPSowfIvkQ6BnEdegHcR0w ++AUMful9uiPJf9PnQ5mMMX+d9yhmrM8bSnm+oAvzBcZ8gTFfYMxX640dSf6d +Pu/JNHnJ3KRzHqyjzi9FDD8jhp8Rw8+I4WfE8FP8O4yD+ek8aW7S+Y329yoY +6zxR1JyTRM25QtTk4aMmbx3l+Vr/TuePMhnD7ujzm3TDp+ykfBHsn943MZZr +7bdtZ6zzbDHDp5g5F4qZc5SYOXeImTx9jOm3+S/YZ8xf+2OFxt8rMf7ddsaY +PzDmD4z5A2P+wJg/MOav7diOpLySzjuFjX9RaPy9EuPfbWeM+QNj/sCYPzDm +D4z5A2P+Oq7ekeQ3Wvtkz8Egd1inoJ8Ms24h9hMhl3r/Zhs/KZ8xPc5xQDXr +W+hji63fBf1n9Tp+R5wJDL4H45ZzvzrPF+H9B78UGH564CZs5v0GOi3+ez+y +lvuxfqz2ywuS/GQ8D/8J40AuNT/rjP2PmGtyHsDqz+AqeSLIlY6LMnj9g/us +n52W5BdjHlgfrIf184HtvEE38lrB86uT4gxgyycbF9g42+plrAPGaWndrV7D +umM/Adu4Butm/R4b74BPLe0T6xdgn2j9HzVxW12S3675InwCv4Gxz8EX7deH +GBfRfZDXJb4fxNHf8v63dg9Y81fiPMh30C/WB/sEcWCepxv6A34f9n0J72fr +ZwKDvzZO1X4C1gN6rcjThXqSdb6/Wv/8Wv9cLfNV07/N5J+ymZ82D6HXoYD7 +A79sXk3ruyoeD/Rpf73JxEFNZj/JeQ3WHb9DP+h8EvzdCh4X44EOxO+gA/sH +9CGvpe2JlY8Spg/5PNCn87VVSXYc+szyT5/3lCfxC/oR8wcfcIX+A/3QZ/p+ +rFsz8w/81fo2yvzTfuo2liPwD/PTeEeSftZ2KsLj4HfcF/ChifdzcI3y/lpE +/W5kedf2AvmCeu4X/MR44AeeC34X/RHcX8HjBXg9j6fjhSUsVxhPxydybq39 +lBzuD9juP+wDvb8irDex3tqOSV5T87vM6J9MHg/60q4X6IM+s/YS9EHfWHsI ++nTckGn0XYTH1XmyWJJ+hr6FPrT6E/oQ/MPzOv8s+XjQif0DerF/QB/kxa4X +7BzoDX6fZ+oYU5hfaMfzWD88j/2n6yLFn0G71peZRk6yk+JovV7ZSX6YtQNW +L+MKvuE+K+/aj4wYf6TS5B2i5nyuhvUj9Agwxod+xviwqxgf7Rgf7RgfWNvN +QhOnFBs+bk3Ku6Ed+lA/L3zGPLQfEUnSgzZPoO2KxM02DrVxnV73pqT6Wn0O +lm38NcnTYX5oBx90XeY2xpo/Vdw//C70D4x9HMy7mudr4+JgPVfzvgvWbw1j +Ld9lxm4i3yfY5nN0XLnEj9vAWMexzWa/NvN9Wi+sYvkK2sXv03FR1MwL+dNy +41fa87g69kMxLuYR9Is8Q43pR/RncF+xmWex2ReprL+gn6G/sL5B+2RTd5/C +dgL3630w2eSVUow9m2f0UJqp8xd7p/MFYkfwPOTH5nF1HCj7VMtblLGOS1DX +VMd2L7Aj9Yy1PRG9DDti88iYj9UL2u6I36Ltjfij0H/oD/pO2598Xme0oz/Y +UZvXRn+2viC4rZDtM56HPtd2WfJuWG+0g7/6+QYTJ9VzO+y29iOyjX9SZeio +4nboIR3HSh4T9KAd9Ojn60wcUMvtoEc/32Di5Hpu135vqTmvL2F50vuqOUmO +of8gR8A6/sI59zb264LrdsZp3v/RfkOVsVexJH9U+/X1jDF/64dgHMwXWO+b +KtZbWDfIJeJ4LbcxllM9Tzm30Hm9mIlzpF5B18GWJ9Gt8zYFJq+Zz3zR+1DO +dXA/5o92zF/ztcy8P1DK7breRc45dFxbnrROwPbcQa9/rbFfkl/U5wVV3I51 +0s/HzLlGjNuxv/TzdeZcSa7YX/r5BnNuUM/t2F8639Rk8vRN3I79ZfPSGCeQ +x+84bgrkdyVj9KfjS6mX0HFlufEjkJ8Q/wL8hT4MrpIXCq5VjCF/Os8oeayA +ngLG4If2g8S+6fNM8Z9Ar45f8F5UKdtjHb+gXkDeu9F5ytWMYe90vJ3N62P1 +PugGxr6yeXztZ0eMfEseRuuvasb6/DNi5Ddi5DZi5DVizkcjRj4j5rw0YuRR +sJYv8eOtXtT+UaF5f6w0KU7DfTYPrd//CifpD8i1jvPkfSfIJ/wPjIP+II/Q +9xgv4J/4s8FzW028X2fsxDYzThr7n9p/FflDu/ZXU52WV/t8yNwfMnKaY9Yt +h9cLWPcXNv2Fjb0sZGzfO8N6Q76sf2TfuwPd1q7o97hKzXtPpZzfs/4H9hXk +SefBso0ciJ+lz8tjSX6i9bN0frnW7Odas39rzX6tTbIrej/Wmv0n7zkBw94H +65PC6wQM+oP1RfxTZeKjSsZaHuZx/9Cz6B8Y/ev4pyqpTgFY570ykuqc0T8w ++td6fQdjPI99jueB8TyuiI/0/m0y82jifvC75rP8jn6Dbb05qS5b75tiI49b +k+q29b4rSzon0esv/jL0S0t1uloOq5Kutg5Cn59InURLdaj2HB/t9pwf/NXn +kE3cbtcB2NYZoR3Y1vXoccqS6mr085GkOha02zoXO29gWweCdlsn0lIdrq1j +QLutc8D663y5nFPac02bl9HnIhlJdcC4H34lcCCHKxnDvsBPDNZpNWPsX+Sx +tP8m+Qlbt4D10vpc8lK4X8cZZSauLGO7q89BtzO29RH2quWknP3NgG7BWu8l +15HYvBzu1+eW6ea9lSXsRwBDb9lzHst3YMhNIAZr2D8OxlvFGOfVkJeJ1AHy +GYtYzoJ+v3V/0O/od6GJO1EXB/mX82nosWBdY66UbpDzal3HAr7L+Q7Or4P7 +4AeLX408ZnBFHaOcT2u/tMjbXTmv1vEx/Mta49/A3mb5edQaf07sbYAnG78y +heeLdmDYW+3/pZh5TzZ+bwrzH+26fmAe04X7cdX2XOqSQY+9Qm5Bn26XOlXQ +g3ZgPK/jI/EHcL+tA9R+WBpj9Ad6oG9ADzCew74AtudGul3qejF/tFs/VseX +Lb33J3XuGB/xJLD1U3S71BVjfLQD6/1VyvcjHtTxSJOR0xTj36QaO5zG8Sxw +cNls/Mt8ni+e1/KdzxjP27ogzEf7T6nG7otcAcOfwnx0u9Rh43d71edKpUl+ +BvoB/zRdzWZf2/c6U41fkmbkJi2pnkG3S904xrF5BTyv+Rcx/IuY/VCelBfR +ekXeg9B+Efa9fX9Gzud0vFvB7cgf6XqtmNN5D8nzwa4Bg/+2vkvHNanGT0vj +cYH1eaB9rzbV+HFpSXoI+8rWTYNeS5fOM1bx/ZgX2jEv/bzUJeN3XPU85D0w +G2eiHX6Gfl7qbsFvtMP+a/qbTJ1xk7E7zUl1bPacxJ4zaD+jnDH4qetAqpLm +ZfOqOh9Vb/pL43XGfkM+UO9jm49J5fXE/dr+ppr+Q0YvhEx/IWO/Q0bf5hg9 +k2PsZ44ZL2zGC5vx5LszWm83t2jXrR61eknvjxK+X59zprG/jXZdH5dm6gXS +OB7UdQfRpKuOW6O8f3TdmGDsF2Cdp4/y/gDW9f7RpDynjvuizM+W/Bpg+z4D ++oVd1PJayBj6Vct/CWPYAT3P7Ul5Xd1fRRJden9WmvqkajOeYPAXGHTaeBUY +/AW2V1uHbeMofR67lvUD9I7OP+UbuxRmjHMI0Id1AMY6oE5E133JeYeuY0iO +W6Hf9PlFPs8b8mDPG4PxK03dWVXSPIF1nAD/B/nzzYx1XUat0cOrjRxmctwI +fiN+BNb1C/LeAfwPfc6LuM7iWo43dVydb+KZMN+v+SJYx/slxr+Tc3j93lYZ +ryOe0+u6hMexeRXwDXwK5EXi6WBdJP4Nnofeg16V+DTA65LiUfseCuw41gHj +B3xaZ+L/5qR6DthZLe8VvJ+Bdb6pIslOo3+L4Sfo77ylMB0Bnmzqkyez/oI/ +DrmCHYFcAcOOwm/Ceti6T+sP6fHqOX7WdVfzmB+Ir1DfFDwuGPYU+x7zw/x1 +nbZ8L0PXC8AfLjb5DXkvCPTpdco054BV7C/ourcNrCeAg/4K2C5An2A9td2v +MH53iPvHvHTdwmpTN5Ft/GDJ52PdMT74hvGB0W7PFW29CNYD+xwY+1rr2Yqk +ek5g6CvoVdyP9cX9wFq/yXsUeD74HXlvOU/XdEDvSF0J5mPPqaDXbV2y/c6H +rucRPQd+2fcItD8n90Mv23NfXSdm+byB5cDKJfQV7KyuU5P3jrTfvI7pxvh4 +PtinOE+R+gMtl5ivnFPb9/R0/LWFx4Mc2e/8wO+xdgn8su916HqXMN+P/YB4 +A/dDX2H/oV37EZOT8jp4PhgnLSlutnGyfj7Ez2M/Q79jXXA/MO7HOtq6JJyn +g25grCPOO3S/zWYeci6H32079gd+1/q4gOUb7fa9Ml3vXG3qnWsYw55Yv1rX +Pzeb97BLDN+3Gj0g9c72HM/mVXTcX2X0bZU5b67i+aNdnz9XmXOJqqRzMBuX +6/PJKqb37+uGmoz/2mT0TJPJJzWxXUA77Cvabd25rfuz55A2r6TjtCbmH9r1 +Pm1i/ln/Bu3gH9r19y+aTFwl38PTcaX4S/bcB+dpAR/XmPMr+Y4Cfg/6gR0t +5350/itk/CDUkct3BzEfnYefbM4VxH/D/TpPOZnzmsD6PU15Hv3iea2/JK+q +5SPTxF2r+X5Nt3yHAvfr7+rY9262s97Q713k8/3A8OMg5/DjEIfZvK72K6vZ +r0ScCXnD/HVd5WpjZ1ZxP+hX1x2U834Dhl2HnGg/I8r9Q970udkafh7ypfNF +5Szf1n5gvVBvGPBD4nnod60Xw0Zfy++4T8cz8n1bPKff3wibOnT7HnYVx4fo +H/5bwN9C9jeCfVptznnnmXgjlc95A358y/KEddL1wPDXtjGfsf90XJJh/I/v +TLxaZeRbMPgSDFdh7GdFkh4CXVpPpTLW9iXb1OnKuSrWW9cby3dq7Dmwzp/M +S/rOkj23/vv3sBuMHdhu5LPc2C+pG9H0Nxt92Wy+P5G8LsCgn27j+op6o2/k +u7YtyYV+jxr82W7ipgrGuh6uyujHKrM/8/k5yIPmT7Jc63zIt1y/oPPnucZv +yOV9Bb2n80kih8EVcWAF++UBH/NYX1k9jH2u9XB20j7Q8cF69vf1+0vYPzF+ +DxhY01ds+F/kf5f6BD1fyTtou7uO9SjiSu3/yXtT6BcY9gXjAIMPNl60/NR0 +5zGdOr4Rum1diI2XdLwW4n0FudPvk1caOxhh+wm+tqS3IB+4X88/ynyFfdXv +NSXrScgD7sc89T4TrP3WeqNvbJ1Uk9mPBbwfNL3yvhTo1uedYZ4fsPYDWrX6 ++zxbcl4OehR80O8dbGD5BF90HqbC6M0Kll+sC9YB8oh11u/PVBg9VMH5euhF +zbf1nB8Hf3UcuTrJD8G6gB/2O5CgW3/fJcfYFaFfx3cRI4fZSX6Pxmm8Ttgv +0KvaT5T3G4B1HibV7Et53+Hv+w85/XzInBPmmLqRsDk3lO/1Y720Ppa/a6Hp +2MFY6xv5e0I6LyXn67qOO/mc3L7no79fFjN1n/L9LnueDb2sr80mrz6Vf8c+ +0vXv8l0CvX+k7lX7/QVGfoqYL/hd+9cVRr9VmbijysxD9K/97oKOR+eZ/ZHC +dOI+yBvuw3Nar8h39OH/6POdnBbnDXsEOnXdfjQprtHnBvL9Jf3+aEWLfNfn +YxuM35abFIfZv6Nh63L191KaWV7wfZGg369Znwb7YCX7TUE38r457JbOcxaw +3gvaC9nPCOaxlfUv/ENc8bs+L5M8N/rFOBgXfg/ydpgn5g067PvsODcEH8AX +XKGfgKGHtZx+yhj8w77AOQkw6If845wGGPPHukOfA4NOyCH0uc4HR8252ziD +YVclLkE/8Nu1/arl9dbnftavSv5er/Zvl5jzd/m7F9B3Wk9L3IV22AXwS/9d +KPj5Wf451G9DfpZy3bDufwtjXZ+3lvkODLoRb6POF/E26o5Bn30vMpCzdJ4H +5oXx7XvIug49wnRhPva9e/09hCzmC+gIxl/FGPtE+8HrkujWz+e0cK6Ac89y +oycF23Mouw42Hw27BH4F4y/g+QS3hc38w8yvgH8lZj7y3p1+3yPLj1fL64h1 +xTpj3XU+SPL50EfIh4Lf4Auu+B334Tw+mB/izyKuH4cfresmNvPvwTrJ+Z09 +pw3uh38u+TzoH71P7blukYl77PcVYzxPzBt0gC7sX+gj2CHoHy1PG0y9lfxd +SthdyCH0E/SIjl9sHChxJ/Qs9Kmuwy9iPQ19ijoJvDcAPQ+7Cbo0nZPZjkCe +gt9zWZ6C56O8j63dxv4M7DrqJdeynrB+BfZbwDf8/ZwI6yHr9+i4aZlfF6kX +CcZfyPUheN8hGGcdv38AObJ+ieZvjaFf/u6VPudF3F/M/NF5nZDJe60yeaft +fMV+A7267iPE+68lO6/9ysnG/xzn59vMOJhPM/sdwWPIh0seDP6Izk/WMT06 +X7uK1xv06POLcl5fTU9GEn2annEsv9jH0KfaLw+zHoD+BNbfPxJ9CT0AfQn5 +QP+6rjnMzwf9hlk+MJ7OX1Vy/6hLQP+YL+TN9qfjtGJ+fvy8Z16/8KVGN8Pr +keNeO2n5U73q3QdeTm49ZP6m43bWuKjXO9kN9/b6bU61e9eP9/Llv7VpO7TS +y3uhW0DXanfgc2XrP50bdg9+cOBz6Z0r3DavxybMeXjN6I+2u9bEr3I3oXRl +ZXGbEjfF672hU7plvPVUoTvFz3fgEV0Gp9Qgvo37uz9Ulzz9+Tp3rdebnz51 +/DHHj1/p9VS9u/yYdzLfWvi137/xfRyq/qjH9Ea39vask/Z77htXOn16+8MG +1LvPM9re9k7FSvdOu1Grx3arcNUvbnDDLylxbTYOuXfx+u1uf3+tvanrJ6e1 +yXH9Rg14tumAWpfin9vm+xk7adlb/bvXuUdOmPv1CSMzXcOwJ/acFYu55Qs2 +/LJg2ib3KI1f5c46cuf41kPicc3C6Q9d8FKZ6/Hne31WtIu4U4a1u7phZ5HL +OilSHB0QdcX/HbzkwusK3GfZY1zPz6rcjcfuv+nYz5a6Q9P2PWnEqAZX9Xaf +hbH5M92SAe1qs1fKeeYAT/dGWp8mv37y9w4Lzgzt/uWKGawHfjh++Be3jlnp +emR1mVc4pME1pgX+WbCfqly/PrPPuber1CEdsHBsTV7bEle65fhHiy+KutRW +rR+75Qw53zx7z6Htu0zd7u4geSl3j3r/rXno/S/2e77AXfBQ9i2T3pQ6qDu8 +XA34/ZSjLrxwk7fjEg9/f8FPd1/Zs94d9FDrvFmH4L2eOjfb07XJ09n0r19L +X3252VW+XLLqxXvecVmtHlh82a469/g7q//xzu7VbuwjVwyfv6nWvbtt4A3b +Xsl2FxLfq1xfWofNrlP3N1rnd6p0F9x11N6fnlPkmmj9oq6suPr3wRu3uJIp +u5Yc1n67u6j02FOPnlfu+g2fd1rzqlI3hvqNuMVvDSjqcGm+l4Nq9/zO3n0v +GpjnfqhOzCvmTqL1zXXraH1jbua1rxyYMzLDtTv7/p4nHNbg7t7vslX7pixy +g0/55tr/9Gp0w17878rxd7zpsul++Ttq/R7stHfeTeP9+tS6e6K/5b9xT5bf +56Uu9athN374csQtCwTfvXnf1jP772rw9NW5+zLO369v/P7RNL8yP7+I63TY +m7f8o36J2zQ9wbcGN29A4ZSf7q50Bx05ftvtH21xM3vmPfq/+P67O5SYX8xl +v1qXv7y5wa1/5pK3b2y1lPtBvw/4cY704+I59BPwa4sbQ/yScTDu3AlvnJWY +d4anY+npBS/mb2lwqUeetf7j1YvcHz+U7z5mf/ke5cb84/on6D7F8wF+9UEv +/Hhwh9Wl7pnl+/z803T5PmXBE1mFCb791/MRfv7dPz8QXR6Xk/8de/vj+6zM +knrcO8pXPNUrOW+e9ehT5w6Or/P0Pmvuyx8gefjMHXmZoz9KzuPvOjr1qWhc +zo7OnHr4xXG5muj9e8Qt+xzV//Evjs50vT/c2dl9XufO8PbzB3pO/CPM643I +rDd+673Wj1vm17vcXdaxz3P1z2xzp3p7e+768ecPHmj/LmaZ6/1VYVzPR1yN +3/cPHHNNXI83uIqv2ny4+4vlrnPXY76559d698uohT9+WS/fv+vr+d7pvis/ +PGteg5vR5r2jL+8ucdiEj28ad/hL+LsPEXf9ptKuUz9d6u1Cg+t+Vvn8/4yq +NHFPpUv5zKWc336L+7Ku8tM7jkz+/sfnJBfVrvqD9P/kD5D3SJDH+MfL1+5/ +0+F/+f5395PC9w5e6HoSnY3udO9vB3Yi5g4k+cj18hPz8pPr5SXZz7/n3xl3 +5MT38Yvrv1o1pibC+w5x3QHTdr39693yvuzX980c2apbqXvhoqvu/zM34j6o +uG7Mj7/K+xmBvEVd3cX31meeU8RxyGUHn33xuLuKkuKQA6P9Jhwd10trvx6b +/m5VNuftAr24zr0/t7h//geSp8glumrdQfs8tmzqx9nuvfRBk296QL6HMfrO +L0fXP1Po11HqIVfdeMblE0JS/wi/I++8p3M+nVvozh91XFwPVrqiDbvjelHe +cxlVsfrdOz+vdkdc8OHMQ0dL/d+qS0aE/zkvbOp6wu6JqtSvRqysdqlxpb3u +mbDLJP1T7RaQHqt1/Twd33z/R23mOcLXuoMnrE+s6zV+neFPHd1/y4Tfem9y +D5Ec13j7I+eDDcRnOQ88gfycqDtmw7eDUmqSzwcDuYi6aW/s2titu5zfIS5P +2bHPn7fG93H+K6PHhjuJPI8n+U/+Tm2M5Dbm96PoEcTTv75w4nmDB8r5UuD3 +bHZl9EO+u77DMzUvd652iz3/Ar+rmuWm3ssR5Bhy3e/GKV/9Z1Q19/NUw6g5 +dxxZ6OW7yn398rwXD9nd5B789trhd0dnuWf8Fb9v9fZnv2lv9rym//vun/N2 +dbywd60rOmr+oVcXSN3ogIP26njxxnyXX9P+6T0zS9ykXp3vyhpa4fbvd/im +3ysKXN7AX79sXF7lRjZkt7qi4wL34K6Xe47JbXTV1P88P88mVzw1GKfUjzvR +++3fPN7h66zH5ru+/r46/xziiJ3zT39qn5V4v7nBhQ5fsWZF8zK39Mxrj7m8 +e4Pbx8cFsJ89Lu+3PLGP4O98OPPUITk7C9y+yx+J63OcO8r55gHkz2513R+Y +eN26h6MuNnb4n0NeLXat297cdUK7qHvbx3GneL3bdc3w75t7Sv67+tzr4nzf +5iJPlsb3F84poadL3eltWr92dCziPltzY+Zl4wrcnzcvvvzH5io3dHu7bjvX +o960muV6G/UjcWdAZ40bMmF7xfanN3o5rnGneTvy+AenFMxvh3xLprue+Fjn +jvh56Qf9bl7j51PnvvN6dW/iQ6NbdkeHd4unNLuMT56NrikYHZffTfe/s7HZ +1byROW7hAy/3PHpStGzh180ueueyiT32f8y1eeXcqd/OaPbxwWS2V2OVXY15 +PZfr9ZroX9inZ5XdLvZ6OeqGkh4WfQl7NOCpx/Pnt2t0F5Kf1uBG3BCOXX/+ +MvfEbXljjixqcONOHHvQkTlL3e3kZ0XclNa5cX9EvmM23tut1kvbf7ckblc/ +WbQ57o/guxxZbOcyWwV6aum1Q0lvYR/P93arlPzFLX4ele7jy349c/elyFdX +uo7kF8Xt09gHD3w/c7G7lPRpxNWTPi1zr+y/Nu63Zrlc0oe17haiS/JtPz+3 +/47mnqi3qna7yf+qdM+Q/7XFnUt+bNj7ffH9P+/GI2e8GHUd8rK7/z642J16 +aud4e647dMrr8XbJfz3VOm3DgB+KvJ4TO9Te2x3oRawT1u1abydhN2EnoXcv +e6X8rcayZjdmSZdXxodfcM//8OxZ533U6P2bb12Zl2PI9YObzx+Wd16F67r7 +uJ9r4vbywwsO3JDYd9iHX3Xb2Pvmk3Lcofs+cF5e3J5N9XoB8f3jm1647s3j +R5q/ozPOz7fZHXtgu8UPD36T81MXDLp4zytv1rmh/2wY2Pn1THf8Lye+12lZ +nRu197Beh2St4fzDIFqHiNtIdnCbj3cR53zn/ZoGd/J5W06e1HsF55fuIv+3 +zvV5OiWyV95adzD5u2Xe3424O2enzlh2cLp7ud2V8XiigeP5Xq/3OOPxePwY +9Fvj/fqNHM/XkD2Jui9I7iR/FNiZeh9vr3Kdyd+UfNA68h9Wcn5kBDmYDzA/ +mvP6PnvKhBkcN07x+/h4spfN3p9vdOObrqS4ZZePc0b7uCegI+IGzf2C4iTE +VYizvrlpMMVhr9B9yDePc5vIXjW7z4kvMdeB+JTnPqK4YYsbSuNWcn7pzs3Z +/dLPRh3BdncO8ancy+NKN3Lxe1+eV13v44k65scM8jOFH6ce+/G/zrk/w8fR +9W7UpWet+jDU5MZ3GDhod/pM9y7lB5rciacN2zMqf67bO9bt3Nvj/Z540ZhJ +kXNXuFO7hwbOHlnjnn96xIV9b9zg8wnVroLyCfk+Tq9wU3fO+bH0iLh9oPvL +XUbPnl1OnbONnzvF93N+Vf/GJWeudsvouTrX2Y/7np9HOeUdmt1BB7z+9S1n +vOlOp+ca3H7NDcPen7mU/fSvTu0+I7JrietLeYuIGzG3Y3jKCxIHBP5GmQvt +P3XMticzPZ11Pv+W6Yp+3vNkIu5YTPOodtNp/uLHHU9+U55LJzoK3Wk0j0r/ +fKFLydz7oZfi8VzGZY8e2GpZgzvnzfdHLHh3save9Hg8vm5wl49594f7L17k +8x7Ig5S69p0TeY6Ie6H9ygVr55a6xZRHWesaKS6vdavH33HsH2fH9XGv6xd+ +GKr18XxcD1E8n+fj91p+Dv1inIxfVlz66x2L3SdbE883cByKuBT9oN+Ml8vj +z1W6LuceEO+n0OV+VPX74I15no5q121o4r4699yPF21+6IC17rOBN8f7KXPP +7EqP9xtxm2dtf+n1cXH7NO+MYW1nNLiz6f5Gt3/jY59vjscrq6j/mDuS+s91 +t3wUHvFsQ8T1/mniDX1Xl/jnIm53zdMnzLqr1I+/xY8fdf1v+WHXZx3WuZ8f +uOGhntfVuqq85n9eHbezA+m5Wvevtx8p/7Z/1A07vVf6gT8WuXbE30r3MvG3 +0B08bUXWox9scvuQXMfckNVnT3w+bscC/la7a33ea5fPg+G84tc2V92X+sU6 +d+s1/6Bx2l69k8at8Hm093xeDecXgTxVuNYnjSI6bqPnIm6Bz8s96vN0k30e +MshnNLozN48gPgXr0eifi7lW1E+uu4viqJjby/tBe05M/F7kbqf7oj7OK/J6 +IurOfPqpRVlx/23IOx+NOCpL7N3ayo5DZ34k9d9XFSysSPQL+3YpxZExt5Dm +JfVhgRxVuv/u6RbnW6GPUyvZf9zv3xOfO+z4Atd1+pZp2+P+7+Q+oTjfwz6f +V+3j3nz2ozFv0DHUx4mIP0A3+HCwj2MRbwR2WN5XC+y4vF/1KPmBzZwfDPxO +oefm8vr7Luw329u3JjfL34fnTqP7G91Hfp1gJ/r4596uWBQfv9697/N4e5Ef +WesiPu8X+PkVbruXiyXkt5ZzPrg/xRGof69w2f9598b0s1EHUOtG5z/W5owD +VnG+d8S4D5/rmrOA86Ap5Lc1uWNrLoybpi/cIeTnNLgb+567X997MrxfV+1a +lb0cty/53h+Mrwv5g5tdNvl3FW4x+XdbOe+HPCDuw3OtfT/o97vTap847aiN +3v+rcU/4PCTyklk+T4m8ZVrbi58cuLrZvfFWzbMf7v+ae57yio3u3O++jPsF +C3y/FX6cEnfa3jPjfkSOu5XGr/V+Ta27zsfL95L/JfFyxudTpo6I6zvkRW5+ +o0vhPSsbXIXP+wT+QoTzSBeS3yHn6TeR3xPz8U3Y+8HyPjXOpx8Zt/nTD1+X +OoflftwQ5RPke2I4n/6R/Fipm8C8P72/6d1+N8v3v4L7s7wfLH83ub2nG3Hs +5+QHFXq5yPd+UzXXAdxO/oLUR5xL7VIfEfCxgc9tXqV4QOobArql3u0Xmr/k +P27xfKqnda13sUefff/RL0Lezy53h/lrmf+9yd8X+EExN5D8pVx/LfJ+VNTL +Q5XrS3nnAjfvmep9L15Q4HLvffiAu7ZUuY0UJ1S6TMqjFLoaiiPyXW+KK+J+ +yKWX7nxuWtTdNXbKbZNOLXbOx13It2McjIt5YF7wo/eu7typ78KRfn1rXZ7f +lzgf+PHEmW1eXV/i+Z/jvrlq77fvvkXOp8/wegP7It3vk0V+n2X5fXeS37fY +x2fX/nd35ejxPo/fzP5ooOea3S2Zj03uH1+X7gtiBR0uRV1kzO3/0PhDL47b +6Z7PTovb8y3uHLK7UrcS+M+V7qe1a2e0ebzOtZ1y3cSVT6xxvbt0nXbwrDp3 +ann5i5Eeme5fn46IFoxMPp9+Y0iP9/cetMb7q3XuqLM7UNz4CNmBbW422YVy +Hydu8/SVe39dzq+RB1hN+6TcfUz+bpn3syOu9J833X3FjmX+fKHBdXiyyzNP +jF7u+dPgKn84JSOR54Dfl77iqtMPPDDDVdffNXTFmQ1uTo8tFAf3Inlo8HTL +eXoQH8h5+bS7Wz/dNSfdPUR8kr8Hf5HXCw95PVHj9UaJ1yPBPm9wOykeaHS7 +s3/rHvn3QjeS/KBGt+TWfnE6vvX8anS9bj8+Tkea60b7UM7bDyT/JOZeIv8k +18txzMt1ns9PSr3I/D/2H1h9VIW7sPecB248s9QddMr5bXqsiLijznxn39tO +KHVPPHTB6JuaI65q4XvfT/pfqft45P/mjW0n5/l3kb9T5KaTvxP1+6jIn4dE +XZjiPalHGb3v+b9OSl/njr6+049Nz9e6g7uMu39iXF8FflWtK5haH5frdZ7f +te6Z/uGFl41e5+1rrXue1rHGjaTzwo1+HWvcAZR32OSmkZ6pYX8G9QTNvxxa +nsjrBOcqNT6uyvXnWMXeP4q6SWSfir19ivq8RnK9wUDSV1H3LMVtxT6Oi3p/ +s9L7m4VeP1T6eK7Q60lbb1Pp9Xehm3bOm03u3rCbvejynDnTqt2it557cH5m +2J0fW9y2fEO1+3TIinvv34X3vOT97/Snt/zctrradX1wzM2z4vt07NIXH3sk +vm9XpPRae0087pvdtfXgJfE4EPUq5x1x/aQx8XWrPq5zp1B8Hz/s9/U88r/z +3CiSO4kjEVcG8prn7UPMHUXyn8d1KgEf6927D/WM+/Or/PlCvTvyitn7JPyO +IE7Y7uMGqXOdSetW7vYiPzjD+3FSbxHoq3pXkvr5k5VH3nJp4Nc1uy8GlMwd +ePP7ftxm17dzq/ZHjp/h7TvqexvdU52G31R50SIXK679KjFv1OUE8hHz9hTf +u4i4bgP3PHzTrFKflyryelvqfAJ7BX2Y7fdVrctacc2dWaeP9PNvdk/enbun +9bjxnI+FnznqKjc2kefe4/3Sj4j+Svdvmne9O4f8lFU+L1fPeci9yI/Z7v2a +creL5r2d86aT6Zx2pdf39W7GJ8f1Ois3w81584TaPn/UuxTSq3Wu4vch8ThQ +/h7Pwn9cmHplfLxJ5F9vc4eTfy151lcoX17u5k/MPPnH+1a4QV23XbohUu+G +rhl1W/kBGa6o4+Idu3Lq2W+/ev77J91+i9Q99/DnVohva+YPG95pVaV768W+ +vb76ptnNmf972b//mOj52ei++9fO164pXODlrcQNmnBS2Q9xv/d/K2YddNfh +m93Hj1Vf/eU/q9ytA5rv/GVcs9trzpKOJ34/jvMEi33eIIjbN/v6gyr3D5fy +WOzgLe6T0HHbjuhT6dZSXNvopn/dtdM3cT+4of/iY1+ql/cVvuwTeebw+fK+ +wrOHz4//In/X6faJod2n3y7vJ+jnQ07fH+L+S7ydRzuwfj5sng9zO86XgPV7 +dNXugC2zHu11wBaON4FRvwAMvx8Y/gow+sc+BYbfAmz/3kHwvPwdIGD0A8z1 +ER6jH2BNT8zQEzP0xAw9MUNPjOf7W/G+qz8Nf838vXnMafOq3viG2/sQXsnt +O+n3ldw+8ZC+u55OXcftPStL7z+yg6wfrmi/In1s0YCjwi5zyaazj7+w0V2T +EKs+ee62bZ1WXjmmmTGe6zD12is2jpb1PZ/6L2H8767DX78rRdajN/Uv67Fp +e/ZDo+6pdO/1uLp73vaIO4MEtTLpSo89Xs243+wTYr3TaxhTN/vUM36saUG7 +8f0aGe932B/Tv3i3mXFvYnSd60PzTWc8/NU91w/MEYz9sCHOjXdebvDrs9as +51rmH+LrhFDOerQs6fpAfJaH/SGY35+Ic3FE64jnr/z9cGDwC+9pfPxB4t8S +VzvzoLr4f4x7zHnhkjkvCMY82w/5/ogh369x6+mffF8AGP1iP4EOyONxL9XH +ZyB/bxX99yq4/JiCy6fzePvROLPdzYnp9s9yF8Wl79Zt7zO9X5OAzGT8JPHt +E/chPR9xhXcmnn+H+f8gyffHjNNpnWfxfO6n9ZvH+AZav3k8H3s9gub7Hc9v +ZkKMxi7m+dSRgC5lvJ7WfRnPr89zawY9t2YR99fZ8xX4Zmpfy/13Pun9muZ7 +13B/y88ZF59hJuP5cxMMWcv9D7uxzVM3tlnj7r75wawlm5pYvtD/PYnhjtjE ++PrE7U/l8nj3LFwWH2Ej9982rj3eemIT49/ju6DH1bk8XlrFmcsrztzoZhEf +anh/o//CBLuOKWD8OM1vM4+3mcQln/s/Pb5ah/QV+T8+0W1RAY835pKEgOZz +f79O+OrnCV8VMX6XrsXc/y8New29+cEi7q8vyZPgK+NaI/uhYu6/kfbDVsYX +0H7Yyv0fS+tfxngp0b+NxzsmvtrTfit1R9N9VX5/lLpldF814/k/JyYeYxys +Qw3jy4httYzLE48vr2McJr42MA742sj4P/cl/jUx3i/R/Y3NjFmuafuXM25O +iMeQCNPz8Yopm3dmlrut8V0y9doo65Nhca28YkqV6JuvE4IYY/xW/Km2p9Yx +PvHXnoO7Dm9gnJbofnETY4x/Hv2LMv4frXeU53Me7deou2TYP9pf/FMx62Pc +n9g9g54T/XYY7a8qfn5N21PjM5F2un1NjPHsxHJfUsP3z45L/0d3CP6I+FHj +ir3c1pNerXXDyV5sZvyHlzvgKWSfihmf4OUEeBHZp22MZ3m+Azfem9iYEcYX +eD4AjyG9JXitpxP4kISaPLya8WCyqzEZz9MJbK8X/JRwJOoYx43NN3PPb5Dx +uiQUleDArjcxvv2yxII1Mx7k9RDsR67XE8C7/L4G7uT3HfAML7fA3b3cAIe8 +HAAP8OsMXO3tHvBIEpwGxu0SrTObGMP/HUF6YwPj+8geb3Dzvf/8JvlLFYy3 +kb2Jsn2ZS/ZoEuPJPm9+X2J7XQF9vcjtR3q3mTGpj+UVvH8fS7C/cj3zE/l1 +3A95hv8O+YX9hf5DO/Qd2rX/kmrmm2r6DzndX8j4pzIf+P+4H1jfv9b4s2vN +eGEzXpjb4ZejHRjt8NPRDgz6gXE//Cj471Z/4nf+TofXZ/ydUo/5+4ke8/dV +PIafBcx/B8dj8MPqS4wDjHGAMQ7WX3/XLYflB1j7d2HG4CMw+AQMPgFrfsnf +FQLGPIExL2DwAxj8AAY/gLF+t9E+38IYdUGBvazk9QM/7iC9FGOMuqNraJ/m +MX+QF8PzOP9DO/Kf8H/wXiLsE/QF8sPAZ5G/s5rx0eTvCL6M/JNsxjeS/5LF +GOvWmDA/s2t5/PqE+ckSrOUtj+N95Jehr34nu1XOuC/FSYLf9nEW8JXEJ8G8 +7glzclkp0/8M6SvBkB9gPL8XxVlRt5Pi1iJu35Ywd1PXMb8H+PVaTXYubp8S +08oW/t9Jfuw2fh55b7SDbrRrfbPIrU2o7cMkfr3c04n7B3i/GfLXm8xXHuN0 +8tNFH7+WcJc2Cybz9nOF8c9Evh72fjjo3TtBZtdNjJ9PuAtN9Ty/0YnpHSL0 +/eLXEfO9wa8j8Itk79bzfN+NRxkLl4m+JvfxPplfEa2n2ButryRvYvkN/c11 +5V5/wb7gXAD6WH8nLlPst1/vIB8s9cuYD/Sd/jtZsj6o+wJ9ab5ODPThvUr0 +d5MfD/YZ+qHtDQNzupw0h/F88mPns77B/cBL6DqX8R/5CUX0JfcP+tFfRwpQ +ljPeTfsgg5/H/cDDyY9aIfqO5DKD+wcf0Z+99iI/OlviOX8/+wOvJQQ1i/Ek +umZzvgL3Aw8kfbrW+CNreT5YF4wfyKXgK7ze1f6IxJuzyW0T3EjxiuSfcD9/ +D9PLJ8bn+gWPn/B+O/D9WYnEVSH3n01+5GbGh1A8sZnH+6/PA6N/2Bv09573 ++4FfI/9wK98PeUd7uo8DgL+6NZE42276l/is2ccFwLUkv5Lvwf3AU39LKIYI +2zOO53z+RueP/hLPKfsWMfr0L3+nz2PMF+Ngfv/zcQrwsxRHVJr8bpTf34Q+ +wf2H+TgGuD3FGdX8POpjgKNvJBgu3wllfe31z8n+vAH4kdQEw1ezPjrZnzcA +n5hIxywsN/5hvYkfGxjr75KLP0/h8v2Cy4ltop8wn1Kaf4jxVkpUrmb5e4Lm +W8D4mMcTAr2Z3wuBfvsHhQ+Cg/yDYND3x/UJ/Sb0ktkZXs78XEEGv4pxLxLY +an4PBvrzWr+vgfeQPcpN0tdBfF9v4vF6b89qjH2JMZ6RWPYREv9j39l8wL9J +H37N8rKF+P4K0/dxIp3V/Rve39MpznyD+b2H5vsNP7+B8toL+fkPyW6u5OdP +If2wkO/vlgizV6zi+ytondfx/aXkl8p6nktxtpyndCT5lnoC6NMhlN8T/OK0 +xMaWfPL+4xMZbmnPiHuLE0MSX2F+o3wcifm9+3Kio7DQQ/zYwPN5lvavnOfc +RXmETdxfhOJdyectTbDrHdGnPShOz+f79yV/bwvfT8cEp5XweiOfPCAnkWAQ +PJ0cdznvmUN54RrG0FfA32cmHEW5v5oUp7R3S7hrA+W86BJKkEi79me2uBcC +QWY8kvgh7SsT4ftHct60nhIm0g76A3ktZf2L/fgE5fMEB/k8yR+CP8D7kv8o ++CdyMCWfCH4Av0frIfnFV8kflXbQC3wG6Y96xl1ILiTfqPVrqUunhIXgr0nf +NCfFX59R3kn0y00JsT5bMIntbnmfn+NpkivBeyjhLecdCxPh0AmCJyXc12F/ +ic9Jj/8lPk+423v+Ep/T9S/xecINe+sv8TmlHyU+Bz0X0/6V86lK0t+CX6GD +J7F/JNbNor9wXjKD8n9FjLv7czHgnWT35X74EcAv0j6V+0MUJ0n7AH+uBtyR +7Oo2xvAb+H6/LsA/+HUBvtSfywFP934GMPwu6P8yryeAH/Z+FzD4Adza6wng +id6PAgb9wKf4fQW8wPtRun/Jp872cqjznpGk+B+4h19nnQ+tNPOR/Gu2X2fg +g73fwvbR72fg23xegu2lzzvbfIPOD0u+NsiT1zPGftb5YmkP8uKNSflEnT8W +fCvJj+Rz8T0N+Fdd/TkZ8Pwggcm4lvz2lYznkl8vz1Pz95LvKUwcJ/wq/hLe +h4Q+nUH2QHCI9K9geryn4MAfy2f57EnrGWZ8LvFP2gM/tcDsL2lHXIb5wp69 +QHZ5AeMJlAeQfGkBTSzHkbqKSbyE9jcTaZ6Jku9MpRu3uK2kj8R/P4n8NNFn +wfGI+PMLKU4V/baH/Lwa0Xd0fiz6jsL9YeLvF9P5j+i/wA8W//9hOg8SfZhG ++lTigVaU/mlmfBfFrc3Mr4Hk9wnW8WihyR+K/dB/Pyss+4UYJv5jkM+R/FcN +5ZO2Sj6EGCL5qIMpDpf4MZTYfm23JfmX0ymeH83zQX4c63UIxbOPmfxAKvuX +HWcnHJdB5vmQuT/E7cj36XxAjnk+bJ4Pczv4CYw8nM5/bjf52VKTny01+dlS +k58tNflZWS/kB4FtPY3WtyVGP4r+Rj/A6AcY8wfG/G3+iu2Pn7/WZzsY63ql +FMYZFA/MNvVLKYwPIf9/lqmHSmf8OJmNZaY+Kp1xF5K3ZaYeKpNxYBfXMkb+ +A5jU4B257rzEcWODyPNgyh9L/k7H71KfA7sNvI7sWIHJLxQzbvJ+ia43KWN8 +qPczDqTAUvKFc8jh2m7yw1HGsKfAsJfAsIc2/wgM+oBBF/QN6ADGvHV7xJx/ +RM39ct6o/fMG4383GP9a8hHBPNMYX0t+gOQDYGeBh5EdXsH4GvLDJF9wLflt +8vcXOf47KpEokPzs2YljhlHSPjdxLLGrPske4buswMfReYVg+OnAS7yfDkzH +EnE/Hfgb76cjzwL7cLLPswD/6fMS3O7zEvY8DN+70Of/ghFHA7enc17B51B8 +KvmI28hOyXfKsF4bgkQF45703CrGz1JeQzC+PwL/JajbEYzz1WCcbxnfSfmd +b/m8J2jPZXw88Uneo8b+Dc6DBOP7I9DHQT5IMOwFvicInEL5rFI+n8F74MCF +5E5FzfmQvAeO/TaQ9L3gjeRgCA70ppzvXOXz0sDvUL5HsLZfch7U7P1g4EG0 +P2rN+bHo70doHZ5mnEV+0gymB/fjvKyB6rsmMA7W8T3GD1I9wJeM+9F53Rxz +Xi32oemzxPP3Mz6MHLuZvL64H7iA8hxvyXkgPfc246VUb/YF499pvp+besQU +N8vzA/YG/FlP+ahvGe/2fjr4cwapG6kfvpLWaQnzC/2Bfrp9ykLGQX5xMWMS +n1kZjJcQ/5eb+gCxh3kUNy5gPJXiwKXmPDSdcSadw6Ux/pTWaxHjn6meLYNx +B6q7WMH8gb0FP7r5fQ7cm+rD1jE/grh2FeMgrs1k/qA/0Ps/OsdbxXgtKcw1 +Im+kMLMZU1p1bJapb8jk+cL+Y34j/Tkf8JX+nBLzO40IX894IcXJm3i+6A/j +ryM/egNjYv+tGxlTWDtCzpeDsCqX54v++O/NeP3UIeHG9BD/owP1Kxj0wW6D +nqAuTuo/HqA8mdQTX+TjOuDnfRwH+tAf5kthXZd8xoF5FUxheNtCxuQO3bvZ +nBcU8HzhV2B++1Cebgvj1ynvtpXnF9RJST16is8DYb7oD+Pba3+vZ4GjPs4B +9oEhz1d/N7KJ4+MjqIBL8pcHUmJL2gcGiSvGFNbulHbQDz8K9J5Odkfqa4K8 +oNR3j/V5K+BMn7fS9qeM6cnzdQbAT/k6A+A23s8EvsfXBej1Ef/hU7J3cr5D +7sFBFXw//D60X0T7v4IxeQWDKvn9Kdi313xdGHDE14UBB3WjUq8enEuKvxuc +A4q/G+TNBQf1CbWMg3NHwfm0LFLfHlzFP/4P6Snxj4NzSMF6PaV+ch35DxIP +UxpnZjXfDz8Y7beTPyU4KMOrYb4in1Lt86bAL/m8KfBGX/cP3C1h9qZJu65H +j7mR5EfJ/UfSOZm037VPgqHy/sVKf84FrM8jkq9zE8dIeYJ3Un60hjEd15wt +WJ9PxByliW6W9z160gJI+4tEv7z/Qe7509KuzydijtyAaXL/BuKXtHck+uX9 +kaeJP9Ku9UHMZRA/5P67iV/SPo/ob2bcjq6Cq72ehj98gNeDwGd7vcD5QL8P +2b/2+4z9by93wEO8XAETHCL1ZC/4c0ZgHS+3agX9gPyMrido1Ur7Y/K+FPIz +uj3E7cjP6PvDpr4vz91Gz8v7MV8qf0HsDfIiwLY+Ue930S/Ij+j9Lu/DIF8C +/BM5HvJ+DPInwK+SPpN4G/kU4C6kz0S/gF7gr0mfyfs0I/17AVifod6OA08j +fSHx+cvebgJn+Dp84M+9XQHe6evagWNerwO/6OvMgUd5PQ7c0deRA7fzeg54 +jq8bB57u9RrwJf69GuBuPs4EtteVFF9K/lvnh/IZR0gPyPtzr5GekPbNtO+l +PuBM0gvyHRHY63Zk3wUH55+CO5I/IPnz4PxU2oP3FyQ/q/NDUi/wtNfD+nxP +cGevl3W9ivydGeiT9v69MX1+JXiDz1MBB3WC8nwQp0q9Ar5HgXzH04kwbrrk +R76niUt7RzIQgqdSHYFg/jsfPj9hr8H7E4In0fsSFSZ/n1wvdyr5s5I/PpH4 +kMZ5D+iPQ8iflnxfEFdIO/y/woSVXyD10FR20beU8zzYnx3Jz5V61u7kF0u+ +XL8/IvF28D5Grbs8cbzwjeQ79qY4S/AYcjckXxHUrwr+jva31OtR2v0YwUF9 +qeQT3iQ/XuqbUS/I9sK/ZwX8Ee3fLMbn+riO9QfpC8G6Hn4y50vw/R2dn5D3 +34L9O4+/3wb6uL7O+434fputf0LcBHuDukVtLypMvkjqicGHL1X8U84Ycgt9 +gboe4A9oP+aZfHch4wrSR/I9WK1fBIMvwEMofhB90p3qMaRdv58bZdyf/CrR +H/ieLPBQ79cBjyD9I9+X1fpEMNYReIiPy4AHUmAoWOeXJpt8z2STf5ls4vc0 +Ez9K/RnWV+dDpL4G89T1ZWsdbeNdgqmMfJRgrNdy8uuknvGf5HdK/By8X1vN +/UMfAWM/QH5tfSX8cPR/A61XLuNfSP/LeUVX78cDB36lxFv2/RX7vgow9tuz +FGdN4f13LBUmfszznUX7vojxJ2S3i3j+g/x7Urp+UfbzfqSPUxj/m/gn79M0 +kD6U9wsvJLtfYuof5f2yoE5A9nc+6eccxm0pfy75maUUp8n7RiTeV8r7Rh2n +J/Jdfcz7I3mMoV8wv1vJcRb9FdQRxHj8CXQeLf7ucsrvy/sMUarfkvnOp/z+ +Wp4fLffp8j4BLfdvgh8gv1ToeZTi4AjTs570i7yPVEfy+S3P/3lytCR/fSvp ++RLOBwf5lVrzPYNcHg9xKOdPKV8p+fbT6dwh17z/IH+fBvsreN9bMP89Gth3 +/x43n7dT3Z204++VYH91ofgoub7gOv/e90y/P57177GB/rGES/n7H1h/fP8D +9hPfZ4G+Dd4/TT4fuO3nzvltHiplfj5/8JN91i+tZX6Mm//wq1f9HJX34zsN +OnZdH3lfed0Bo5d80lHqkee1uW1wdXG1m+Hn//01Ww54amqDW/b6uEd+uT75 +fGTv/bPGT3lpIa9Hz1N2djqvKtd90TazafE6mS/0y6ILbzr/qM8K3el3Vw9q +0/cv+j7UrWLj4XKeMPzNR0e2f0TWq/ifn/3wfJ6sz4jFV80ddLLwP6XmhtV3 +fSH8OuXEBa/s/4bwt3bgwd++e5D4I/8HDXbJ3w== + "], {{{ + EdgeForm[], + GrayLevel[0.], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJwtUj1PQlEM7fODe9+F52qiMrj6AZsCi/4G/4AfOzrpimAcFdSVBDVxMjHR +iM7MTi4IiUSjCeiMJriopzl3aNrXnp6e9r7pja2VzSERWYINwxqByB0sCVuN +i9zDnzuRrhX5NCItYP4ccRfw1UjkFnETvuYYa64pjMfgd9CbDkUs+uuBxyP/ +FPH7FH19zHqEkB/EJeBysLeAOdUwBXwGtWXENT+zNUT+E3BXYFVD7cZQ/wR8 +Cr4NzAPiHjBtfO+NEKv8aUeeLjiLCZF91EoJzjeebxAjl/Kon/e8Wp/0s5Sv +5DlVY93vmMXuRyF5x+Pk+3XcWTHPEe+o91xHfTdBfQX4A/S+o3c24A0a/l10 +Rs5ruwHmNeTsBcTHIfsvHXftg7+C/EtI3Wv+TfVtyxG5rhz3sH6XFLDblvt9 +x7i33l/jgf/uoN4z3FFnLlrO/TCsaf4Qvgyb87zarzwFv2MF8zsRdareM8ed +9E56s4zl3fS99aZZR62qOQTmK2Jd3+0a2Dx6iob7Jf0/M4Nc3lK33nLU8p7W +76a4f48jbgc= + "]], + PolygonBox[CompressedData[" +1:eJwtkT8vg2EUxY8Gz/O+9RrYGMTqT228NTXhE/gEWAUTMxWjtIlVInwD4s9s +NlmqTSrE0DKXMOF3cw0nPfec+7z33tPJ9e2VrYKkCdAPvoJUj9Isv2OgkUlX +fdI1eIS3M+cVkKdSjd4jME09Q385da8FnujNE2kXP+KNg3P8W7wHhvaKzMK/ +xK/inYDqkHTIIjna6LD0jtaGQ9UELer74N+3OQt4x4m/PeDdEvwCbZ+6hL8B +n0L7HpQ+wQt8GSwGn2m8BEJwbS7xN9ZrO/cyn2U7fcATdn6lvgFn3NJBaxY8 +o1Pqn9S9O/ALXys6t5tX4ZvRM7ZsbacB6k702yzDLvPL0efZ3G7wm+3WBj07 +0TO1LMN/Nm/BPcuonnkOtmMNPoI4H13bI9vnxDOybOw//gOvF0eS + "]]}]}, { + EdgeForm[], + GrayLevel[0.12975041647800445`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFVUtsTVEUPa73ue/ed8UAE9oSJkQw8ZuQdGBQCa2RaqLVqt8AE6p+k1Yl +KiFpmzASEiRGfmkHGBaJF4lB1af6BhIRdOCTmPitZS0xODmfu8/ea6+99rkL +2g9s2R+FEG5jTMfowuYwxjjWN5IQXkwLoScLoQnzB4zFOL9TDGEljN9gvTMf +Qq3Pp3CvNxfChUjnnRjVoHvc02YM3yq4+yro3k7bHCuFsDCW33r478S4CNvm +gjCsx7he1rwauK7AtrGkmDOw3oz1FtzpTUPYDh89mIcj4WbcZanW0+DjWyb/ +XzH/ToTpF+bHkdbE9hg+H8DnNdjNiRVvytjXG/9u+NqDfPdgXl4UbvI2Absf +kfzNw1lSVK6lovZcr0r+5/TDcWnPnD9FqsNMYH4NfzWwvZzIb8n51cDPW3xr +S4VnB+a1OFuGMRZ0ts44OxCjAzh3Ya4Fnwdhsxv7Z8jvOfK6if2TSPargKmC +/X18u1oUp8z7CMbxTLW8BSz9qFsNfJ3Ja8/z08AwlBcX5GHEOREDfT/xmpwS +A7G8RPxxxLqLfV9OuZODh4j1ET5vJ7KrKyjfSdh/gO0E1u05YfyrQ+fIXBmb +Gp6L+Rz8dAPT+Uyc3XRc1o0+ycOgcyFvaxJxOAH7BpxtLEg3xML9Euv2UCRd +NRbFDfcDefHButZbv8RS45jEfyxTX3Rnqif5mQzyccFrfmdfkNN91hi11o3c +j8TSU4910If5Y1G8kJMZqfrpaCb9k3Ni5szaLnFdKtH/7xXXpdvYTmTC3mX8 +h1x/YiNPg87zErhag9jvMuUxYhvysBR244g3WFT+xLoCde6K1QetOeGlvlnD +O67jlHlgPHJPzsn9m0y6WouYn+HjfSx8rF/JPfVPE/Q5L9HMHmqBj7ac3hHO +rbahPdfUyYZEdeY7cSpVreYn8tdh+9FMmB5h/l5Qv1Ez5II54zhsQo5PY72D +ddbZW8fZVlAsvmnb/K71m0ve5VmLz78Cwyg4uwIMdYlqytpuTfVGNqfKhfb0 +zf4adf/S59m8sK30nv47y+K4NlF9BqxV5sc8+Y21Zc3nuu6sJ3VOf/RDf3dd +L9aNfTZhe+qSd1gL1oVz1Xobdr+Qm9GS+GHejMe7vZny2VFWzBHb8/uQMf2C +zQBi/Mx0Nugc2a9DXv/tlZziVqzvYWt8xDpnXWrd+x3mk7xSa8PuF+q83z7J +F7lpT/Vulfx+ViP18KRresa5kKvvfk+oIdZ/L/Kahdy/xHrjxjL1x/yy6sA1 +azRubT3HfDSVFvgf5jvT5LeGHJGr9rJ6pWoM5L/RNVgU65/K3Jr8jvMu4882 +Br6LVfdbA2wvxrI9gfW9WFzfx3yypD4mNw1+D1usYWqPb8BZa4MckAvqit+b +rfk/OW0exw== + "]], + PolygonBox[CompressedData[" +1:eJwtlE1I1GEQxmc3df+fe+iTQPugjpFdNL0kFHQoKPXWpbY1wzxUpyzTPje7 +BAUVKARWYJcggrpldNI6eKhDu32seAgqtA5hYEFZv+Hx8LAz7zzvM/POzH83 +Fk90Hs+a2S5QAyqhWRk8yZk9Ba3YZwKzCLseXEjMShAnOF+eN/tK7As4hUgf +uB8RW2a2AxyKzW6k3K81GyZ2nrtV/K2uC+7CvcjZCLFu/J/EXqP7Cr0H+Ovq +zA6g0YTWJs7yeWm6dhsoYBfBtInThd3O/X2havyO7l80b6J1kHgpVg1ei8f9 +LaPEb9eqphbquYN/Db8FfxR/mLx70OvAbwenA5257T35Bd4Qf8xvA3jEnZms +3nwdrd/4zRn1ZJ78z+EWwMmc3vg5Va4mOI1w18D5w/0quIdfJr5Qp5q8tmfk +Hgj1Hn9XGIvrOT33Szh74c+hN4m9Cv6PQLP5BhbhvM0qh+eaT9X7neAhsb5A +M/dZh2AoVq5P9PgK9qDzqWUW/QHsfjBjOjuL3YpGY0499d6WA83UZ+k9+gCm +wBgoMoP9xFYHmlUnZxlm0pHRGya4fzjWrKfAWKRdm4NXNe3cWnZiMFQvFuEf +S1RrD9q92Fdj1eqau7lf5KxA7COc+kiz2BbqrT6T2aUavTbPMeJ7F6g23wH/ +NjYH2jf/Rrwmr817+g97A/oVcm2h/hep4HYbZ82RZjfO/VtLO5nFXxloNkPk +3B6J+w70U/uKvDgeu5QIbvs3499OT6K3+gzWc/cofleNvolu7HOhdtR303M2 +RHq7c44kmrnP3mc2Ta2XU+X2HpVSfaP+rfoOVvDH0Xsf6L/BZ/gfOvWU5A== + + "]]}]}, { + EdgeForm[], + GrayLevel[0.22029661591959937`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFVktsVVUUPbz3et97992LM0lAQCUaRhonD6P2WWPSduAHpYrFARSoShVM +ZMQrxJT2USRxAErbRJuCAiZN/CQmCiNise2IREtsw8BAC9gSPwM+Cfhfq2s1 +DE7Oufvss79r733v2/z2izsyIYS/sbJYy+pC+CIXwvSiELbjYhLENaDvBf0m +aK9ifVcI4f1iCGdxdwvnCOsk6C3gr0YhrMNewfdPWAnejoJ2A+cNWLVSCJvw +bh/26/i+jPsyVmMcQhvovaA349FFyEhwPp/Rmbz1+RCasEZwPoL9AFZfnWzd +BR2rIecm5AyDv4y3faB9hbsZ0Ecgu4z15SK9X4u1Eus2eDrg7/qMaNzL9ncW +61GcHy7IZ/r7CPyu4lyC7h9gZyve3I39MOj1oL8HWWdxd6EgvU9CfsW20caq +z7SPdjbh7Z+R5NGeuaBvxuUAZL6LdTgvuTuxnwHPVbzrzYiHNk5lZWcz7iax +luK8BHL3g2c2lh01xjEoHvsyojFPtInvfk9Fvwz+x2H7h9DbC51TuJ+MlMMJ +3N/OKI9LoPdITvo+SyV/Bm+HiJ1Iuec7vn8Bd2M+j3rxjrii7Q/lZD/z8Dzk +vpwRRpgb5mMeh5ZzArp6sE9D17WMzvTrJeydkTA4CvuPF4URxoe5TLPC6Jvg +mQ6SR7m04Rzu3gJPl3E27NgOgNZfpxwfTBX7ncjbSE54Zi0chY6h/B0+4pE5 +ZN20uXZ4R1lnjL2N2TtYo8/0l35v87kjEX0b9tmMfGKufkykewL7FceFMTlv +u5mXSl42UedW8G0F//JY+XysoJwSO7SRPlbhTwvtBM9zeNOekz7q3erzuqx4 +iCvWAPFIH76B/M/B8y32+lS941fs/2b1JrHvQ65T9oR1lvNXKlu6E+l8Lacc +7gb9dfDuSZXPqnPa5RjwLenkZR0xl9siYeBKLN9qqeQ1ZMVHGbvclz5NhNFj +ieLNODLmzFXqfPWkwkM39qM5+U6715uX/WH54hDGEdM89g8Q10MFxZ41VHN9 +tdunFuOUfYp2so/udW+hjSPuS9151f6cfaIM8h9LVbcfx6rpVveJxkj9hW87 +Ir1hPDZl7/QzylvpPkv/qJe4pU/nnIuPYsmnnp6ScvsPznvwdnckfyvWRfnM +L+PCmLAOJhZ6AuLRijgMUGes+L6BOP8H2oNYa7LqF+wbxAL78RrX5YlE9OPY ++yBnS1H9jvFrcM8cTdUvFoGnCHmtRc8DvLu/TrbQT/pLm8cj+cAaeRp8qzzD +mH/2J9rQZawTG19D5o6i8jAGXc/g7Tj7YqL+W2OvjuXvYuxN4D1Y0Fx6oCA/ +6Q9jdt02EC97HMNyrNidTnVPPsbtFr5PMVfY2xfqIZH9Y84Bc9Vl/LMHsZe8 +U5KN7J9T1jtmmcTbMs9Gzkn6NOfYrLVtvOOsZ/8/leh80j2DvaDFs3fY/WXW ++OtNNSfm5wjOLfB7cVEYHHN/pw3sDZwTk851k7HallPMuzwXxp0j1j375nbH +bNy+s4f0ub8Sh7R7tfFMLLNmmftRz5RPYMv6gub/xVix4Ny4FKs2Oa+mbCv1 +bimpDjeXhCPml/IGjR/mkLhZ5dqpuA4uer43+vuJgv4DiJVO9iDwV1Nhq9lz +mTEoG/Oc+Ss8918pyG7aTB037NdMJMywl7JXsmf2JKqNiv8H2MOoa7trhTXD +OOf8/1SHvT8Sxubnf6p/iJ9jLZ6XQuYFz9Q/UtnZ6Hwx/1c9E0nj3cIs7bDv +044LY8K+UPG/3yVjmxhv9DvyM7ZXPL9Yw5wrnI33xMLH5kR9nP38l1hxqve/ +H3N4zXOf9/s9z+Z7hXsp8XLAmP8tFT/9O4YYf1/QTGLNzPrfgHlssL/M+aCx +cdvzdYPjPGg8NLgfLvzX0f+F/6+Kc33as/Bez8lJ89TcTw6lyne//1OfSoWx +u2LRBpyziuc5c81Z1mm9KxwP4ufZWPXBf1LGcqPj+T/cV6Km + "]], + PolygonBox[CompressedData[" +1:eJwtlElI1VEUxq9v8P3f8H+2CKXJrKil0UYhUYwgDZoIIaWgHNK0MrBVVkT4 +1ApaaGRCgZpDIBQNVLq1rJWLjIpWTpiE1SKI0ij6fZwWH5xzz3TPud+5G6rO +HGwMOOeOgBDIjjlXi3BcSDj3FJSmOfcAfRR5JGHymrBzhb5zU55z5aAr3blZ +4uuw78fWgE8Dcge2KCiJ4A/a485VBp17Dx5R6w54SP5RMEe+amL2EV9DfA3y +N86+c8FWMIdvfcJyL1EvB70T+1X0F8R3IM9wlgpYzBf0ZmovUTcbxEEO8X+p +PUv8O+yP8c8lfg/6K/SLoI76p4k/hzyJ/xj2w+TfjVwFKtEvY69EzqUfP2g9 +7SJXZtS5Amq2h6ynRuRtUau9TI1P+LQT+xm0kX+a8yzs3dhugTD5PmJbAj/x +zQdl5O4j3z3qFWrW+J+NWN8lnA3jOw1K1Rs5b2K7hM+qJG+ZsLfUTDXbJGdT +2PPIWUGtP/gfDVqMYlVTtSfBMnIVPsVB44S4MYtPW8De7DZ6Im61decQ8glq +1IeMA+LCIPdoAtfI3wsOedazehVnKjybmWalGaSjZ6CfRB7h7Dk57oeMg+Li +MDXfBm0mzdQrB2NBu2M18hbif3kWm8/ZADE9xBeh30X2yT0RMa7WUyONsw9B +e0O9pTgpbooDF+g1GbUY+Tb855y4dwyf1rjNcrNntTRT9foEvSViPauXMs9i +1dNr37immuPIK8ixEDBOrSV3En0+YDNcj96Cz6mw9azeF8k3k2499XP3Zd9m +J779Rk4lTN5OzZVJ47C4XEuO875xVtxVzpT2wzebaqq2OKE+NFPNti1uvR6g +RgtyJvEVyFfwz0rYTmg3NpFjB7kyYibvpPcF9GKwMWw79AbfXvTusOXYi28B +elbY3viZ+Bkz7ilGsdrdkqj9Hdrh1QnbHXH+R8zupLuJwynk2Zj9FeLoV+KH +iB0APcT2gUXf/i79EdPaRd960U7OozdGbWe1q3rDTs9yKLYINMXtr1EP6uUl +9n7sXWGrIXncM67rTDur3dWfk0f+69qFqO3bBGeDmknIZqBZVGO74Vkt7bg4 +K+7KZwh5Xcz+RnFG3KnAf6tnufTH/gNUCMXR + "]], + PolygonBox[{{3591, 2503, 2108, 1161, 3206}}]}]}, { + EdgeForm[], + GrayLevel[0.3108428153611943], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJw1V1tsFVUUHW9779x7Zwaj8UkUiiQ8IvxI+6NgLAoKCqEFYhT1gwIFxVtD +QjDqj5YgsfyAikoL5SECLaWCb7nU0CYUfwCNfFOpgLS9GBPaGvTDtViLj8k5 +c2bvffZeZ+29z0xY3lBbSAVBMOO2ICjDeCYMgr5sEFzBfFd5EDyEJ8K8OhME +e9NBcBnzPXEQTMT6LIxb8PFOKFZhrMTaNcjMwFgD+YOYN8J4Ka31udA9jG9T +8NyP+Rrscw77/QnZr2FrKtarMQ5AdhDPk5A5kdJ7EeNdZVrnWn8+CF6C7rUk +CEawPpTW93dg8208cSg/uPeSQHpDtvl6WjY5fw9+R9CbhrEPNl+A3iBslvCt +CzKLMG7F+1uYb8P4EeRqsDacAz6YL8Z8FPNm6FZC9yJkLkC2Dw+WbuLHd2I4 +0XjeZ9s/2f4XsbDei7Efa3+kJfMZlGoxjsA+D2ldmfa+BMNvQOZ97NWB9fVl +kqM92m3A+7FE718meuf6VfvTb/vEkbhyvRPjkZT2acazI6WzPo6YujBvwdMJ +W0XoHqFtrM+H3QrwZgHO72hanFmSFnaMi+dKPb4X0sKdmNP3gufcn+vcdwvk +m2yL82NpcYu824OnCvJtaXGLvKrDuDyjbyuB1VjIzsQ4gmcC/JqeVxz061Ig +DpbMT2LCuIknuUK/qfNKKP9uciMl25WYbyKO5H9ee3Jv2iQG84wDz2JOIE7Q +5zr7xlip24DvizN+x3wYfp6C7nWMuxPZWYf5yVBc5vlQljrEiGdUm5Eu3zkn +bjXkEXMm0H70jz7z+2LL70vLJ2I4xRxgDh4Gt+YjX35MCy9i8Bp8qQiFC9+J +zX8ZneMGyI+D/DBsrsX3EYw78fyN9dn4vgK6CzBvhUw9vt8bKz/vwTjeuV5y +zhCnAawPxcrRf7D2cqg8op8DOfH0K+ZHSnuSm6PwsxtjOpKtFnN4Ql4YrIiU +69yX5zgKX65lpcuatBE+HMC4Fr4uxbg6Uf0i184mwo885Dvja3WMCzPCmnGS +o03mAG01Yj4p0Ej75A7rSqPnx8zpW3pbbL8QCmvygL4scU1YHwpzvq9KFBfj +2484ns9Jj9+WmrdrEuldz8lP5iQ5wZrDWsS8b0vkRzvPKC++kXez8EyG7vfA ++bFEvNiPeW8oGXLx0UT1bDfWo7z49Rf2GsT7edi+ivGc7XMf7l3MyO/ljpU6 +XDvh9Q7oL8iqplRgvgLzroz6AGsgeUrOVhtn5jLnrEs7I9W95kj2qMf8b3JN +oDzxI+fIkU8j1c/t5sag+8V47PlbVud8w7wiv+7A2ps5cZyYEtujiOtwolzp +SHRmFc6RUk7n/26kPL0b354ip8s0Zw6uCsUj8pW8ID+oU52od84DhifLxVv6 +9kSiejIG/hyB/Xo8G2Djw0j1a5tjZ9zE88Gs8nPYNY9cIw7DefkxNlYfIB7M +l+5QtYb1vc01llztM2943u1pfWO9bTbmrZF0T1ufT69r1rJQOcz8ZRysp8zB +1c61VxPVO2I3irEnlC32GdbPbtdQ1p715jjzqdE5228uk6NhXvWBdaJoG8T3 +qjlZisVR8q4pUszsN6z5myG7NVRd+TaWPXKfvZa9tCWSDfYK1qZcXmfFc64K +pX/ZPYVnN9d1lfebya69ne6nA+59RdeBo64h5EGXa1cpEXYXsc+/iXy7kYin +A77zUPaE5Q9h7cVQ51IeiWtxpPNaZvxZa8k57vPAGPgD33MYH8bYkFV+EK/j +lin4DsD4n82qN5DrvPuwz7W6j1Q59n2x7jWDkOtPtN4C/5/LKreZ16fNjVs8 +48gYaI93CNrcXC7O8ix49xwKxV+eKWXYW5kbxPnXWPlEbJlT5E/RMrRVNAfY +e9Z6Psv31cdj2St6X3KtJyXsGHen56wFH5RLpseYcL0uUf2vT1RLCsaKGNd7 +L+YHeczext5b697NvC24zrOGsZYxN/f67vd5rH24H/WrfR+ejfGbWLz6Lhb3 +d5n/rFtncvJ3mu+x0yPh2Oz7G+voVN85hxJx5ve8MHyk3HH5bn/J9xae8WXj +3+O8Yt9k/pHb7Am9xpw8POh19u19vmMQp4XuQUXHz9iZT8RmjusT+xRzgXe6 +Ntcf5hH3mmT/+90LtruG74h0/2YefxIJs27jtsf1ij70ukbRz59dt1m/6cN5 ++8H7/iH7v8119eNIZ9Hh8z3uGkX+8p+j3fVwo/9x6HOlawXjWuS4rvi+2m5/ +uLbQ8T4TC/+nY53bTRuB7NX4zsD5Ie9VdH4y5iuJ6s3tecXX7RgPGCfGMtX/ +WcRwUyw+h8j9JK/9eV/r9vlSd6bvz6dh+wfzjbwbB7m6rPr2L7HiY1/a7NpJ +nqx0XjA/2DsuuEafgu7ZrPYmZ9jb2CP+B5eX904= + "]], + PolygonBox[CompressedData[" +1:eJwtlElIVWEUx7+c3n3vvmsUZSU4ERQRbcJaFAVFoyGoFZENi3LAEl8YUlSb +Mk2qjQ1Ualo4RFRSFk1YUQupjVrQMkptIoedKdai35/T4nD/5zvjPd//fFn7 +YgUVcc65QiQBGQk5N4DkJTr3A/2c71w235nxzp0Hp0Sd+w1+jXM/eBT5CN6m +WPCsZOfiw87VcXYa/SQxC7D5xJwCH8WW4ZGDouXUeYrPQux38X8GHsM2ijRg +b0QOE5ND7DH6qQ+cu4N0gdcSE0ScqyGmBb+zxNeCfyFbnfU0DL5CfD56JTmu +gnPJ3UkPR6jdTZ5S8uXzHcanBPyQmLngRcQ/ArchzWBCXSu4KLDaiikGb+Rs +KfbZ5F+O03R62oA9m7M12Js4K0Cvwn4dnIr/JDhGz58iNkPNcjNnueg76G0l +kkl/FUgL/c7wbFalyApsZeg/k5gjejM4N2y2EuQG+Ujj5pPzJniCmj3kzprG +zMFRZJ2znjdhP0CP2/mXPM7K9G9R+3fdWZhEifi/ibOYBHDMsx5U+y89hJJt +9n2cp4E7A5urao7j30SOZfi2ctYW2Iw0K81gHNst3Sm23fgMoReTe3HYcldx +9hZ7Kr7P8XkH7guMi+JAP3gssNhqevxMfKVvsxRnxJ0p7PXY65BJ8DCyM2Sc +WwWu1v3Gmc+fwHpUr9nojeRr8I07usNr4AHOCrHdxqcD3+/oMXAFUhNYDdXS +Pw8Fdse6a/nUorf4xgVxtBn8JGrcn4f+GHwvsH/NYZ4pzHMwsF72IF/JdR/9 +FfYYOS4S/yFqXFtP/Hvx0zcua2bF4AeB3a1iusClzLbdM25pB457NnPNOopk +gLd41oNyaJfT0MfjbKcv+1ZbO3UJfDAwbolD5eBe/HvCxgntuHa5N2RviXZ6 +iW9vgd4UP2JvhPLqDnQXyRH7F3FuCpxO/IRnb4F6aI/arLSTHeAz1DxE7b2q +gf+FwN4KvQl6G3Qmm96sOeiD6LtCxjlxr///Dml3tFNTfDPp/yX4RZJxStzS +nY/gX+TZjDQb+ehOdDfKORrY7p7wbJba4dVR20W9KaGIcURcUc/fIvbWphPT +nWRv7n7PelBtnYlj4po4+wX/f36Uwdo= + "]], + PolygonBox[{{3593, 2479, 2124, 1468, 3503}}]}]}, { + EdgeForm[], + GrayLevel[0.40138901480278916`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNV1tsFVUUnXtn7rzOvQUkKkiiwZTEYPwB/QACWBODH0aSkmgpbYFKW9qi +QDQKUihvtAj9AMMjVlrwmUJLpYBATIRixRgeioLGRDHxwxYkpgT8ABLXytok +fkz2njP77LNfa+8zY6sXl76a9TzvuYzn+aDFgeddCT3vR7wPx0IZaAnWQwg1 +gp8HPgK/CPx88I2QeQnyY0C3FTyvgG8nUs/rwdrhnOeNwvq1vOddht6/Qb8t +SP4MaA6yDdAzF3pu4X0LZN6BTAf4hVgvh57l2H8d36s86evFMxP8F6BH8fwD +/khO37jewPOx91E8k0LJD2L9JOgQaCUeHzLHM3o/bes8Y1gkOe7dG0r/Nawv +os3gG0Hrs+LLs7LhmJ3bGur9Hr/V9g/6so/rNdhfCn4B6BzbT/vvy0tuAOu1 +oC2h4p4BPxX0QfOdekZjLcDe+oxiwjgfND+7QYcy8jeB3EzwE8HXQ++L+N5A +/Xhmga8DHYLMl+C/AT0FWpmV71GqOpiWVwyrM4rDh+D34bmTUb5J+Y36bmN9 +dlZ5vgo+Bv8mZAZD1ctc6FyB933O8yabLPfuwvvrWN8NOh8yq8B/DP4Dp/17 +nHL0dU6545m0gfaQ7jV+C2hXqPiMZw1DbkZGdTzjfzGkDGvyAvw/AP48aDto +R6i6YOy5PtJXTJlH5u5l2LYGa5/Bnhrw68Hvd4r52VAYYR7OhVqrg8wmyHQ7 +nbnFzh3A8xX0LgG9iqcf/FugZ3zVFuvy84Jkeogn6DkEvrMgv/4M5dtZO4s6 +m3zVA3HU7AtTxOlaX5glTrdajTBWjGW/xZNn85042+AL19XEka8zqJ9x/s5i +naSy4xnUxl++6rkMdud8xXkc9k52ysMUJywWRaor0rHGkw4z/ip0XYLOQdCJ +2DMCe590wiXjcd16DmUWWT6v2FmzU/UK9ozx2JNi7+OgbYaxn0GbcM7mSHmm +PsaZOh+GXBbyj4D+EaM/RcJjWAR/Es9zoA7685B5AjLFeELw45zyUOnLjoxT +3/kVspfwVID/raB4T7L6ZF+cEikepEXGEwfEAzFLOsn4B7C3Df5ehMwx6MxC +7mZB/ZF9siWvmn0hUt1OtVpnnRPHDYZl9oAB6wOFSL2L/vOcyYZt9jD2IsbL +D9SDBkxfZ6B49+bFH8qrNw3ZXGANMP98J/Zjmw3EbmQzg/gOrdfzIc/6jCH/ +mq85wPolZQ3TpjvWc2qd/LmcCiP0gfYTR0usF/5eUHwYp4684tYOuj5SrBn7 +vpzwRl3boXMp+PdAtznpOVhQDz5mcWB9UDd7LP2hX8RFAt1vmD/sbaxJ+sk8 +8VzmgT5zjbhj3TFPrD32W/Za5os1yzphva2ATDOePaFok/HLIn0jT6wss/nU +Fsk3+rX0f/H7pSCdrEHOp8D8aLLap55NiMtm2Lm9oJwxd6w39nDWIt/Zq4h/ +Yp99vcTXt3brkcQl5wlzwHN45hzzhbkpt3N5TpvZSb2z7Sz2GvZ0yvyUai/x +etT6LfPeZfeH0daHaA/rrdWJn5XKLt4/WC87gdenY2GDtVtrdxfis9Jm4Von +fo1T7zxrvXoX9k6PZe/9wPwF8GmRzskFOnccZOpi9cF68J2xckPME2sLnfrw +Sl81w3w0Gd9v84u9dh1rOFD9f4/9QaLa3Q26I1G83nWyfzPoBJzzSazaoa9j +zN8T0HfD3okv1iVr8ojdORg37qtKtDcPviJRv1gJvWVYm27zlnYSd6spF4jv +hfziRHV2APz+WHXEO2GNr37S4sQ/Dz2rwVeAfzZVTRLbrEvms9Vm6F3omBjL +7lcKwuPIvDBHmynD+LlAcaNvN+yeQXvv+upv7NkZ42nvKrOfvaXZeGKQ849x +5qwmTzx2wc6N4Gth5234cyQRRjfZ/CPGSTeaPGd+s+lh3tYYz7XVdhZnTmIx +4XzgLORseozxjnXHKgpkB3V6gc0R6y0bbJ19Nmd+feqkvxp2DgtkH20bZTPV +492jIN0JarXTqbYWQP58pFgzdryLE38pvn/kFN95qWKZtbOm2l0T5nolsbBE +HBWDPpRo7veCjkl0B2TOs4H85Wz0DXPEd4nV575UdtLecuvX7EfsH+yBxy0/ +6yyeRxPVKOtzWixMEo81TjoXWH0xdoxbM2RWxeqLc2PZR9v67/V5T/gfbnnh +Pw3nF2ca7xfDrZ/U2XzhnJkAHStjzWbe5Xrs/rMc30pBn0qV5wrLHe+zyw3j +e53wXZXq7si5yP76tvVb9l3GuNTizPilZhvjwhlUb/kvs7zw3kc91HfO7vm0 +hzEfsNl+xSjt4R3+pN3reM4PdtZOpzm7w+n7KfvHIT65Ttxcj3QHYg9vsfsv +40ccsHZZn+yFIyxuh6G4KtZsY5/usfslsbvCYnLLaWb/62R7t91taHuZ3Ulo +S5/9e4y0mPEbdR00efbO03ZHvffPVmn/gK32n7XM5iT9K7Y8s64vGk3sH5Ay +1NFncaAe9k3O9EaLZWL5ZS2yd7JmK2P53GFztN300N5uu//fdKrtLuttfaa/ +zUn/+6D/AdmJ5IY= + "]], + PolygonBox[CompressedData[" +1:eJwtlV1olmUYx++9z7v3fZ/3fp9ZCUJZyWpGTdeB5okfyQLpJAompFmbpftw +m2VRVKZzflWgSZCWZa2as4+5TSslIQk6axGhBWURVAcdtK31YU4DDfr9+Xtw +wf+6r4/7uq+vu3bNhqZHciGEHVAeWpaGMA+qKYawCBoH/1IIoQ5hsRzCj5x9 +DeUwWlcVwtJSCAfQ6eNsNzqHYgibkxC2QA+h/4D8oXMW/m500poQPq0Gc3Yt +eBb6OWT/QbMqIZyD/wS/n8NPgX/K8HH5rvvwN5uzQuJgb0B/kLNv4JugjcjK +3HeKe/6BP8k9l8CzOfuSNwxAH+LvM87HkJ/j/D1sesHboLX4aoAybEbhzyOb +T5wXoUtV9rkfm+PwO4t+8+vodCN7ElkfeJKYzhDbes7GwDNqHJNiGeHuOzir +R34n8kZwKzaN2F4ktlru/gqdPeCrOVuI7BWoC93H4V8FL1NOwSl0C/xS+JXg +auhG+H5oI3gTtBrZgrJzUwVdh2wBtAv/7fAvgNcg35o4B8rFg/A9iWuoWrbA +P5PYp3y/BHUSz6Pwe8FvRL895U3neWcLuTmRutb93DMX+T3oN6OzHbwcf12J +36i3Hslca/XEUfD30P051/wH8CS+fi04Zym2/8JPFJzj38nfBfhx+Kfw8Sb+ +P8gcm2r8EXgYmgm/Ap0vwKegkYJzoFzsjs5Fgr8/8XUXd7TBXwHNQ7Y/Ovcl +5FPIt0W/RTEptsP4m57Y5+nMNVQtl3N/O/ztFc/OEnKwBHwA+ycS11S13ZB6 +5jRr6qkh8tcN3wveBNVjE/OuyTvRMSiWx+D3qfe4Y0W1e1a9Ox39icQ1O4h8 +LfKV5LIJnTbwVObZ3aN6gbuge5Gt0oxlrqFqqRhfw34L8QxCT+N/WtG4M3Vs +OtMMaZbkoxP7Bu6vwf45zo5gPwe+knePvQ/fkTk3ikmxzUWeId+BfAj53/j7 +DXxMbyp7hjRL36EzAR6vGKvmqv01ihc6gf5BzkYz17obH4ujd4R2hWZma/TM +afaGODsOfhvqA8/AfmHmGqlWOusHH6tYVztQu7CMj4zYT6IzQHytmXOrmBV7 +Hfq5vHtoV3ROlVvVaH3mHaddp5ntid4J2g3qUfXqTcir856RF5E3QJXEM6RZ +GtY+0q6FNhfds+pd6UTiaYG/OfU8nb2cA+VCO6ZN+5F9dBofo+ojcIh+Sxcx +VoHfip4l7TTttgvRu1A7Wbv55eje0w7QLlDu/yCOv4JroF25GjpU8M7UDGmW +roTmR/f2SMmxq8e1k7Sb9AdcD56ZemdrV8vHx/DNJe8SvbkDXJe61trp2oHa +hWWoHryq7L9CPf4z+Wwtu7e2Q4ejd6R2pf6QOvAZ5M05z8zD6M+J9qUaqpay +ke1O5Q/dPHc3ljw/uqMHvJiz2qL/zNui36oaqpaLonf5OHSVeilzb2tnaHes +i869YugA78v8j6rH9mb23Vvy7OmO4ehYNGOatRH4Z+GfhzqIbzD6L9NMabYG +ov8C7RDtkvayZ1M2sh3LHJt27rfIjkb7mob+rehPFv3nK6eq8bvRf7tmWrP9 +P3RyAsE= + "]], + + PolygonBox[{{3210, 1165, 2112, 2309, 3590}, {3592, 2504, + 2110, 1163, 3208}}]}]}, { + EdgeForm[], + GrayLevel[0.49193521424438413`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFWFlsVVUUvX3Q917Pua+lkMigiLSIFkSwFCXWKQpEqTSRoiAKWhwoFCml +JREoiOiHEi0xGg30QxAVcB6hVcHxhw9wHhM08iP6ASUoGgZxLdcyftyc/fbd +55w9rD3cN3xey/TFmSRJbitKkj5Ya7NJsqE4Sebj98sxSZZhvTskSVtW9BLI +nMKGb/DswTMNMveBX5omSTdkdmYluxhy7eC3YO1bmiQHcklShnULztqPfQH7 +mrFnUV88WFfh9xeQHwa6A/SPvB+ylxWJfwbOWQ7+56C3g38h7vjM/PngXwPl +m7BOAe8nPCPAfyFKhzshvyaKX4Hzb8XeooxsvCiruyh/H2R+Af0a5K8HvRp0 +Cvk60KtAh1S6TPG93DfZe7dBph/OHA2ZdaAPkg96aZH490CmDXR5Rr55DjJl +oEdB5sUo/gWgW4vEXwSZrVF75kGfmqx0qwZ/KvgdoPOQfwv0Otj+JtZu7FsB +/kLIXBtF94VMGei/aF9B8aBd1IE68RzexWcl6OZE72gv318Xxc+m/9vA9/dG ++X9b0N6llv+yJEm+zSfJ64h3D/TZl5FePcbL0UTxJ/0n6FGwqwpPLeOMPbux +fyvWdtzXDmy0Yt0E2Z8tz3W/6aIoHCZYr4YP9vr8vb6XNPFCDEGlf/WtdexW +wxcLgPO1BenHPbS9DPcNBf1xkE/p2x1YmyBbad82QL8OyCzHU57TynfEWv+M +fLzHOUId9tn+o/b9mcZAAXedBfoj3PUDFPwetu/AeZPwbAb/CE1LJf8hZDZH +4WNukN8+tV3PRvn/9iAbWh3TPXj5Ps7clhMWum1jHnn4CHwbSqV7h/3JO1f6 +Xv6mzgu9dpumnctNM9fPsr3cswL0rVg7cfahjM7j2Zt8/itR/hmTCneDjfMS +/B4C+gPo/zjisRK+fqIgzI/HcxNkt8CWBthyGHK3BdlIf1yC9xfjuZ24DMIt +83UcePXOl5YgvzOnm4N8wfw4BzIbcdejxcICYzyQuRqkH/NskHOKfmsM8jP9 +Tb1mgr4K/Kfg38qcsEIsX2aMfQ35qeD/WlBNfdR1tRn++QPvf8czJqt6whpC +X652zdwNex8o0dm9fVTfiJ/SjGxvNsZ67FvWjKWOO/PjlHPsUujaCP7egs64 +2ucMjdJzAnQcH2VLdVQeUIb3nG2Zoa5tbc5xxnCZ9Twfeq6BnhOxZy3WXfj9 +JHQeFeX/qigcHDK2RrhGV2JdC9n788qhIcDigyU0ULWw3XXmxpxiThwtjLpn +NvsS/NaeVa6W4YzpJZJ9GO96sfetIJuOOEbHi4SR+kS8RvOJn17TXG8yTd0P +Gj/sG/WO0VzIz8kqhnw/0zLro84dmQq/Pxv3uVQ4fx/6PBPl1wGpcDrEfYF1 +fZrPKU6Fud1BPh6QUc9lDR7k/GWMSk0TmwOdj6wTq+y3x6J6XDfO6Yyyf0dQ +rjTaD2+DfxLrSPdTYpH9rKhUMTwNzCwKupt94LBtYizezikWxxLZ0WFs3Az5 +cXj3Y0H3nPBd820PZ4o7grDE/lZt7F0PXnlUTlQG5ctx770rCA/s5+zXzO1p +rh8rjfnBedUI6lhl7E0OwhnxdiXoCuwbzvkEsVsSNLdwfuEMwnjy7pZUNo2g +fBCPevE3+Quicnex5bm2mG6F3f1yOp9rRU71shO2rMdzOPn/Hfmjs6rj7EnU +mzWZ/n0oFc06zZrC2nLS2KOujCvzkrWG9Z99kueyx58btLLn016+494q30V5 +nsf+PNz5wzwixhgfzm7Ma9YqzkmsVzNyyi3G/YTtYVw6XdNIXxMUk0+g+/0F +YXJX0P0V9vls5+8tUXe2+d4m11/q3eq+vxTr5UF4fMOzJfcwZlyXmaZNo90L +WbdmFSs37kkVlyWcWwrifxukF+9jvtCXc53LnDmIacaY8SWPvYzzGWvrFug8 +Nqs8oU6c81gTnwf/FHh1OcX301Q1pC5onmMt205cw/GD8qqD2VL1yHWpZkTW +kdFRZ4/1XMseyTr7UtS8McP+Zw4zL/qkqpsNnj/od/p/UpC/qOMV7j/EHuPG +uaLJs8Wxgug/CsLwVttenVWO8SzOyqx950KHo9D9t7xq+NOpMFsThKFWY348 +avCavPDdi+dAXr4cY7+xJ1Iv/mYtnWKa/C7oeFFOc8T+VLV6elA9ZV2tifLx +OPuZ+rEOsGZemKpOvsoZv6BzZmNvHfTpyst39ZbnvQdT4XpWkOwk38u6Tswz +7lz/zQHTc/zNwLxtMlbpixWel2jr4ZzsfbjgmpLqPXk8Z4cxRl8Tm/Q7fd4/ +VXxqo2aeCZ716QPWa+YXZ0TOB+955u11H9/rOtvg2s5+xv7F/sd+lkmFD84I +xHyjz7zK9s61XcTsePP3eR7mzDfTfPqZvu9yHePcRPqIa8VG+2qN52rO15w7 +W11niMFO47DL8v+dwzmMNGdc9rB3o2oU9510nTnH8aAuNdZngmnqTvwxNoxL +rWsjcbXYdYD1YKP1pZ48u8LnjzPmiQ1++9H3Saq55ry8ahb7KP30EOz6vqCc +/w7rRPucseI60fPELteanZwVg3Ri3tAPp2zvMH9PDouapbtd0/jdy2/L066T +3a6VrElzjM+pQXaz3twQdD/zZmYQtonxgXnVHdYc9nja2pbqm4015m+c/1VB +tfPsVP2q3L2J/u50jIi7ndatzd/47BH0WbW/nznfsB/3RM3xnAneierj/E+B +NYvx2+B+wfmG80w3ZP4B8s/35g== + "]], + PolygonBox[CompressedData[" +1:eJwllVtol3UYx3//6fy/+73vu3lAmlqKJwi98DAFcZngoQungrOyvCin5jTn +5mFCOW2bXuhGKKIYJIIHrIlRBKmZtcq6iS6shcdK8UrtIhelRDXt8+V78fB/ +vs/x9z6n/+iVTbWNJSGEBqg/dCoNYRCCLYUQVsUQHoNvwk8dEMLXeQit0N/Y +rSsNoQ3+y7IQ6qBNxRC6oHeTEGrAz8MvhUIWwh38p+N/EftrUB/8PvyPwD8i +/g/oJyH7KncO5VqEbC7524g3i3hjiDUQ6ke8f9BVY/Mttu2JcyrXoKJjKNZ8 +bGbhvwvfPuRjoXegIfiX830vkX8DtofxrYBeKPrNiqnY9fgvw/8LdO3E6OwX +wiH0J3hvBf6b0L+Kvpx4rfBb8fke3/PI5mE3BboFvhqdaw7+a/DtIdZ3iWs1 +Gp9vsJnB7wpiLMH2A2wGE78Z/Br4PfBA8GZwHbiEfL0F+8j3I/RD0G9FVo9+ +JPpL8BPRd+fuTVWZa6ceqQfqxYvYLIi2kW01uAp8BaopukfX0c0HL0Z3C2oj +11JiLYHeZljuk/cCshH8voW+Cdtf8O2B3ocasVkR/XbV7CS2K6NnS9/UBT6m +HlCfydi/jO4zZMPR7cCmEfwpuBLcAm4AnwM/Ad4GXg8+Dx4G3g7eAK6ktn9C +Lch+V5+je1mA34/tK9G90wwcBz8bPSua8e3gmujaqMYd4Nro3mjm9oLnRc+m +ZroVvDy61/oGfcvP4F56fYX4BfR7cuduoBYd8Fvoz3+sRTO4OfMOaBcWEOMy +vruRHS1xfffAL0S2jFx3oU7VH1wH/we0Dzwb/Bx8D7QDnGSuhWpYBh8z11I9 +SuGzzL16EpzDr46eNe38afzXRM+SZvBD8FjwX7y3ifc0Yt8/c+3Vk1L4AZl7 +ox4Ula/cb9eMDIUflfptz0Aj4a8jvwad4XvPQlcT74R24WPwtOhZ1E14I/XO +aHfmQvXwneTYS/xj5OuAr0b2b8E1mZl6V7sT77p2tht8I3EuzeTN3LOmGdes +T0tdS9W4Cj5CvxL7tmYb/cTUtdcOTEidU7nX4v+QWL8R+x60rcQz9zj3nVDu +T7A/m5pXz8/A38vda715MLHWIXuIbgY2r8M/yB1bN0S3RLfrpzLXRjdMuXr5 +fRCcsxbdsMS7qBsWUs9eH1QJvzP3rdbOtMPfL3pHtZuKsTZ1bTWzmt2D2LSU +egY1i4qhWKrJiejePZ34veqhaqRayecAvhszz4q+qSnz7d6Z+Dbrhk+PnoUf +oTdT30zdzqeIUYH95sy7of+Y8diOT317NOPj4Bsy75Jmcgz6z1PPsm7wRvD/ +ESDdNA== + "]], + + PolygonBox[{{3595, 2071, 750, 1166, 3590}, {3584, 2436, + 2434, 1942, 3585}, {2907, 824, 2087, 2018, 3588}}]}]}, { + EdgeForm[], + GrayLevel[0.5824814136859789], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNWG1sVmcZPu/7nvO+b897DkYjOra4yEcLW+IGG+og0ZHSmTLRAElFwVBl +CxkbLR2CMGHls1+jtECcUaD9MTWOLVFnZPNjImOb0iJNJjNZYStOoTI2BptS +1m5Sr8vravTHyXOf59zP/dzP/XHd93MmLl+9qD4bBMGRTBDkMA7ipTsfBN/E +GI4LglmYXFoKgiqMz+N5Cnyb8L4Y9OfjIPgLxnvwzMDamozoO0G3ga6AjE2g +X8LcV/CMB90VBcFjhSA4gLEPc98HvRPjWsjajjXXkiCYg7kfFcT7jaz25r7V +Ba15AfSn8W1mpD1a8V6OcSPkfxZzn8EzFe9/Be/rOc0PUt8wCBpBx8UgWFIm +eVcj8ZFnAOMZPN8BPT6S3tR5M867FHQVdDwFuX/DMxHPIxnt8zB47oKsO7Bm +Gt6X5MRPm8zP6J30yznRk0Gvg8wX8W0txrJEOhQxfg+6PVqUDaoyshv5h7D3 +k5C9CPwn8e0s9H8f88PgLeB5NqNv5FkAOZlxsm0wTrpy/t94nQve/VjbCVss +Bf0T0D+Av9+H/JPgGY/xj5h/AvM/xPqDGP9QlM9Gsjr/Duy1MJEdUux5CN9f +B18TeGZi3I73j4C+nAbBP8FzPtY5Fvsss7F+gW37QU40Vd0AWQtBz4w1t9A8 +t8Out0Xy8SOQ2YnxEnjO4vu5nOz/Evbsxd57ca5dWe07HOhMI9b5TF77ca+j +4O8oUzzdBDoAPRv0pKzWkH9NqNhjDG7B2s14akG/i703QZ9Hocsk0HXgWwV7 +rMbzIOgGjN/GuCRSHtEuo1ibgcwGzH8tkpx6zNXhGcH2P4asX+B7N+SV41kH +vjWQszurvODaVXn7HE816Ll55QVlrLIcxkG9aT6cJ/8ToexPP2zFXg9Ah22p +8r2BcZWV7jxrrWNlCmStD4QB87xXO74ltu2BUD6iryjn/kiy2qk3/YBxS6r5 +zany9qGM5DLmeF6e55lQ+cLc2AN6bUG5QZtTn5WB7Md11KvK89SnxDjEuhjj +e5FoYs70onxM/95v/FqJcShSnjPHJ4J+xXh1LS+fLWdMJ4qtJNE7fUg7UPbf +LZ/+GfS3V/I694ZA51tu/kKivfKJsHOWcYwjY42+ivDtVdBhItzdZuzl3Gt4 +HoKcDyXCr+Ow4ZVI3zjPeGzEswz8bVmNSzHfn5dOx/DcGAmjiT/XR8Ig5mAF +6H7QXwJdj/FUTmt5jtM5naU9p7PwTDux9wXQA7Fy5eaizlAN+rug74TPPgDP +XozvgGd3olzsNE48acxkjRjMSJ/XMB4MhXPEWsYo45O5xTh40bakX2iTBrwH +PuMK0MMZ6b/W+fYtjNOw9mQovnLQvaH4GAc7XTuIGXuNG+eg8+8oK9UarqVs +1o3drgtXIfcM5ocSxT5p6kJb0CY3JIqLPY4NYuqSomKc9aTT8TbHNY3n6ooV +/8x75jJjgfk6pSAdGev/SKTPIMYJkPl1Ynde2Eo+8tCHdfZjN/j2g78L4wHw +31WUHe9j7JuH9flexzxxiDnPfCdWrbOde8qEp/QfcYLxwLi4HAuP2qHzW7Fw +9iDopoxwkzHDfLrP8m/F2lvwTM6q5lQWVXeeSuT3nyfqA9oLwre2knT7Yiyc +Jr4QW7iGcUU/VeblA2JCX0bnZT25OZJf+K2jpPMugpytecUd8/FTkbCdujZn +pBfziPs3WYcZ4JmOZwpxMKOz0G600xrjI+OjzvnC2sZa824qX7wc6hvxcpZz +nH7uyArr+Owyfr6Tav5irLzezn2di22O82HMtbCvwNwE14PLjrtO4zTrz3lj +AOfIw7NQr3bvRT9x3zextgu+uLdMOMs8uMm5MBIJZ9gjEWtIjzMuDbpGUJ+z +5q8qKs4YY8zvC9aHepw3HrG/amKf5jyocC4wt6Y6v7hvayQ9mEPTnEfE8+ZI +fB14yo17xPAdkd535WQzxt7jqc57Idb+DY7tloz8yX0nRIo9Yg97M47Ew+dx +zqcxfzSR3y9lFMPEDmII5z4RiYf4RRxl3WLN4jvnKW9fXnFKn+dL6pcKJWF5 +h/Vnjhx3XtYn0nNyrLipd1wRO/a5Rn4S+/4+lE57SuL5aizcZA6wR6Iv57hu +fjRSXvAbc+NERj0PMbp6DF8KeifNh9hInK+BTz9cpp6iL9G+JxLtTZr4fdp2 +p81ZW46EwpVXE9nqNMY3YvmCPlmQqje+IVa873IuXPT72VT+Zxww9hgvjJuN +rrnvOQamuH9gLnNPYsU9zpcHI8VdWyq6FeN+6LEPfAcSxQhxijozBhkTjAfG +F+Uz3hjXw8418jMfm4wTpOk76sH7xkb3YPOM3ezfrzrOma+Uwxxh3DFWuRd9 +vtL4yNwaccwzjslDTCLNkXu9HSuf2fO+EQq3qE+n85u5NhCq5rF2tfr+wXvJ +Kddb9rEXQp2BcolP9a4Z7O/bfRd7M5SuLb63Ndsmle4lh203+oY8x2HTw1jz +p0Q1jTLG+lT2atTtp/j2OHh+xrjAXE9eeHwE74cw/1yinr7JvqYNhmwr9h7s +yVj/+8HXA/5TierBbMcz74rc8zr2a3j+DJ5z7LVS5Vg2kS95F+VZuCfznznP +Xpj9EHN/mXsL5t0LxvFcIhutcI/REAsrn0X+rY6FU7/1fYV3ReYgfUnb0+88 +N/OwzzWk1niyKhYO/KqkmLriuKqLhY+/LukcxB3uXZ2qHn0c3+tj4eZvSvL3 +CuvMHKhxT8V+c8jYeN69/DLXPPaDG9zjsT8knve4T2ScHCrJ7k9jfCBWjj9T +Uk/aa9+NYQrPy/luy/llSRgymsqntzlODqeq5Tcm2qvX/P2OB9ID7tfoA+rV +73n2glXe65h7WurPnB7IC9dGx/qhjPriK66hxOX5xvZG9wyU32P5x3yeHp99 +0PVghjG/1n7vMe7WOi/4z6HVdaPK8ukv9prDvh+xF+F+lb6jjfjOQpp9y/xU +cibAxm+Fut+O5UG5c/DuVDa8Lta6Kt+/MqnyOYvxdvdJtDHvT+z1qT9zeYZ7 +mBb/C2EO/PdfinWgzGrrtjBWvjBvvpzq/8n1sdaR5tp55qcOOyybeMI7yBbL +JN5stT232b7rvVelecbu0ozLI6n6/mvOhcnGt+b/+69Dvs2+43DP6cZJ9qnb +LJ84xNpMH/b6DsX4Yf3c73rc6Ps7dbgY6v9Rhe+yjZ4f89mwMYHzjJlCqjVF +jLlU9g0xRqn8l8f4r0RxfCURVrPXZM69HeqfFG3JWGItZzzd7X9nR7G2KlXM +XEqFIcRx4gi/kSdIZJtbXI+4Z7ntszgWXhG3PhfLnrQrayPvt8ScubH6ledS +4WGLfUrc7vZ9hN/IM1rSXJfxnP/hHiv87504T4yf5nrT6Hw8YVyY6ph72LWy +2flC+1U4Dnn+GuPhRPeM642Zfc6rslS2i1Pl6iTXssPuv2pc12513HwhlX0+ +FmvdVNdB6nmH7cnay3sv83rUfgpS1YWxfvA/Sx/IrA== + "]], + PolygonBox[CompressedData[" +1:eJwllnlslVUQxW9f+/re+973gRBRCpG4ACKJioILRMFA0bIpoIgWExNDTFha +ChajCRGVoNSWthAxymaC/sESFJFNZcclgGIUTNhRNtkEAUURQv2dnD8mb86b +uXPn3m/mzL3lhXFDK1MhhGVIERKSEE6iTC0IYWgcwtp8CDMLQziGbI5CuAb+ +Cb1VOoSF4O/xWY//MPy3oX+FfQb2I8gm7EORUejb8TmAfVsuhNIsPuCZSBP7 +1WJ/PxNCQbMQemMrxqcRWwNSjP0Mv9OIP4z1ReDT4LfBT4E/RRaCS8FL0VPY +T4HfAj8JzoL/ANeAnwZPQCaCy8l/PHoV+3Vjv5bs31QcwgDyHUk+G/H5Eftl +1q9j7UzsV9EH898SLuwwMgT9JGsPsm42/nPA5yP7KvdacDnxj4Bn4/MB8hy4 +dc4x54DX4L+X/SqRGdxdIWv2oHckv1XYWiE72etOcF/2/wKfBuyHkA3YUvjv +Rr8F+wrwOmQfeAz4DfwD9l/A7cDLsK1m/fRC+8i3HLwFvRQZnXeuJTnnppzn +xj5bD/Kdjd6TmDel/c23gzchK9EHYt+Afgz5Gfwi+Aj638hBcBX4Inope45g +r9X89zW4G3gIeC74Q3CS993uRYrR2/HfVZ2XXHax96i8c52Af3vWhmaunVpy +boOe4X5bolfiv5Y9e+IzHP/F+C8nVnPWH0+5BjpgWwOux34AWQ+eHrv2VIMJ +8f7lv/9S/gZX0CNyOIv9HWIPx7ejeoK96li/klgtkBP4VuBzK7YvwY3YflNN +gY+yvh77ctbPAxcRYz+29kgZvk3ILvQ23PFS7FXYxxPrWXAF+l5kK/h51u9G +f4x4d6dd8wXoDbH7Sv1Vj76A/+Zjn4J/tfbnXCOyrsUrwT2uXr8Ln0fxvSGy +rpiK3QfplPY3/Ct2DaoWxRFNsWtOtaeeqSH3U+A6zncR+TPxN9e3P4T/P+jz +I59d9X8M+6XYts7EKE18Zp1d32wS8TqT6+Wsv2UP/hsb+25riD8GfQq2a3z/ +9hn38DL+W4S9hBgPEa87cn3aHPFJbM4Sd6nmXsm7x9Rr4qj6vNdorWp6I/4j ++K97oXtEvdIL+81pf4M92FvHvttG8ilB7429Q9o9cBR8IfFdTEfOsNe75Bsh +ZeTaC2nDf/fj/wDyRGKOFdceRZLYZ9RZx2OvwT4tsS7OEHeoZlW7qqE0vpOx +j067xlXrqhnVThX5VMbmPHHfy+Bq9Nfwr0p5zeuJOUJcoR6dzPq24AfFPeR6 +InENq5Z/RXKs3wLuSazj4Obi29i2jkj/vM+ks6lncuhvJuYm7am91UPqJe0x +GPxS7NzUU+qttuBTKXPuJe2dM2eLq6eSU7PYe9+BDGK/OPbddUIGgquRbwrc +A+qF2yLfhXpUvaqZoNmgb/A49mLxFWs7IP2wR+DD6LcjA/LmHHGPenJc7Bmn +WSefPPiZyFy+S3vE5mhxtWJmYnOQuEgz9GFsmby5ThwjrjmHNKR85lrdB+dd +mfVZ6zLOSbmJs8bi+zn41QLP0BXoI/F/D/9H8K1GjrPfziL3sHp5n2ZwkWtU +tSquHIZ/RbE5UzNas1ozZUhkDheXK8bv6LPwXcKajzPeQ2fUWTWzhkfmHHHP +JOJfiMxp4jbNnDGRZ6Jmozi2Dr0Fsa5DxhY7h1V5c6nOpLOdjtw74szz5NuX +/eflfDbtcy4xd4hzTkauAdWC3ixV4qLEvak7PRt5r50Zc5/2VI2oVvRmGRe5 +ZlW7mrEVkb+5vr04vDLyG0NvDXHMZ7E5WFysO90f+24WIQsyvqMS1nQjv/uQ +QeQyD585ReYkcVN9zrNLM2xHoX3kqzdLJjG3leXMFeI4vYH0FlLMgYlnsmaz +Ys6PPYM1i1eBt8R+k+lttgG8I/bM1ezVjOkTeeZq9mrGdgVvjr1WM16z/lvu +eyH7z037TD/EjiUOFBfqDaa32L3g/uAbidEF/R6kX+I3mN5i+q8MXE6sLlmf +VRzYjhm7NeeZ1Rj7zaW3l94s/YnVOnLsrsiAxDEVW2/AwsRvqT5Z15RmyqzE +taeen5h37t9h/yjjMyzOuafUS/pPMRVbb8w0+v+qe4Az + "]], + PolygonBox[{{3599, 2089, 826, 825, 3588}}]}]}, { + EdgeForm[], + GrayLevel[0.673027613127574], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFWGtwVlcVvUm++z3uPXdGGkqhqBBqqBUExhkoHWhpIQmUFAkUEFtnaCso +ogWhgIN/LWgLowOKAkpnWnn8kEdCOzo+IKElPNKHUsFnYQZaMGhtCMGGRwKu +xVqd/jhz9t13n3P22Wfvtfc5VU8tmbm4PIqi9rIoqkDfkI+ir8RR9D3Q+/Bj +JJirQTeBbkT7MegT+J+HfDlaM3hL0TaAPywXRa+gjQLdC5ketBEYfz2NoqGQ +HZFADvOvRzuCf/dlUdQXsltDFB0rRFF9heTn4/9w9Cvwb0+QDGXfRjuKcS+j +v1oh3ZZh7bH4BjvaBNm1aDvA68RaLZjnC5DJYe1PQ+ZnkCkHvwD6edDT0Feg +/QD0w5n2t7VCe7yMeR5DPwn8BXnptA2LvAf+I+BPBL8SrRv77YN+LPrjOY15 +E/v9CfqbpSiqBm8n2hB8T/e+I+hTwpi15FGvCtmSNtwPOxyEHtvQYvx7Drx6 +9HWYg5vkHlqC5hsP/g3wJuLfRnyPRt+J73rQY0BfjMXriEXfD/5ajFkOugN2 +uFaSjQ+kH8s9gO850POZ2Lb1nNxzO/oLaCNBn0N/Hq0K9Kic+Tk1yo2yP7Rb +fnhO8sMs02F9WrDfR7D/auz/89BtC7cJ3fqDvga5fujvQtsEfgX4U8CriPU9 +JJNNBqP/LNpmfOYSzb8/p73cnUm+Gv3rQXo9APrBnM5oDdpU0PlY46lLvfXJ +5/WP/HHoT6EtBB2BXwP6p1wvL52oz6cwby/ogejL8zoznhftd8nn8lK5zv8G +/SNo/drM9kZ7Ft+tkDnkePshZHai/1FQDDImGY+MO8ovdfw1OTZpzwMFjaEv +cw7us7ck/zqMs86nmiNDX4e1H4KeMzH/FNCTQD8KeiroWtCzQF+3blzzSiLd +Cqn2x/1vss5N1o0YQl9/HGPeSKVHG/oJmc7kTcw5Piebft2xRP/6J/iDaO+c +Yn5oTvFDH5ud196516exvyvot6PNwxpPxMKXp8BvBL2Wcpni/m7oe6Mk27wO +HVZCpqygccshsx78npLmII/fg3PSo5L+AJnJoGcbV7rRfok2INP5l2H+4Zn8 +53PEp1RrcU3iKG1APeYZMzk/fafX/sP9bKnQ2ZyMha3EA8bj0ZzsQn9szwkb +uTZ96Cb430qFb7PR/z3ItrRx30x4ECXChmvGh9dSrUNfoP93Owb+kGnt32XC +HeIP8Yjn2Wo/vO5z5/l/hPuc64Wg89oSNK7FY4n99Bt+U/duY3srbH/IGPff +vNajXYhlxLRGzFMG+vugJ6NfESs2GBeHrA99rNJnyHNvdLwwlv4VhMPvok8S +Yc8H2O8+7H0I1q9L5UdN9qXTsc6bsExdm63/8+XCe+Ij8X97rJhlvyOW/UlT +ZqXxYVcsf54H3fbEwoo1GLs71nzsd5nP/7tNs99jvx1T0PyccxbG7o0/1mWv ++fy/3fSpWHug/n8Nwv2pzKdBuFwbhIUjnZeJ0+TTLh3GbPoNfW206Ubbkr5x +W6I9XS0JJ+g3/Ecfpa/SVrT3WPvqWax3H+mg/Dwhp/O6HCvmvwx6RhC/Af2Z +WLHW17ZanZeNdjjOaOezsbCg0jlomPfSN1Gdcr2kfFTtPMsag3UCawiOPeN/ +1Idnz7yWTzxfSXnpnOfluCOuf5gHiTvLHLsnjA+M16XG22IifHq/JFw/Yj95 +KVPcLk91bo0+r7K88gfjcn5B/k3ffq6gPXO/XGub/bA2r3jnnN8oCPP4jxi/ +3988/1O2YwnyReetOC98Jk5X5JWTiD2XEuUH5pZLxuIvor8Zq57gGTfa3+iT +e+3n9MNCXnmROW+WfZsyjO9e13vLHPvcF+1O+/N8B5mm3emwdc6b1JMYy5qM ++teDXhdJ9qzleUbDnQsYr6e9XzbunWYlptY453K/zF+sn+ibXbF8j+vUmV9r +edZ/xJjlrnnGWZ61HHGdtmRd8u1MmL440zlO8lji60TjOX2fuZ5rTjKfWEbb +PmSaMdju2ONeOT9rwVrjzE3XTvRJ+jNt/rBl2E+xrVjXTHF9wvg4az+v9lja +qjlVHMxItafLtgPPnPQt3AoaPyHIx0/az+kL1Js6U/eb9g3WksSZ+13bjHbs +s/Yf5hjkvnkotElIJHuxpBqKaz5mvL3uuoJ+0+N8wb7X/tNtzGH+Yk+dNnr+ +G9atxmvxLNiXmab9yxxrB4L8Z1LQ+fCcWI9ttg/Rf3badvTVLp8h9dxlOy00 +jnX5u08iW3aVZJMO24JxRv+jj9X5mzT32uN91ZhPX6U+nV5vc5B/j0P/iUQ6 +XsL87wRh9N/Q/xb+92fIXzW2MA4Zg8xzxPWjQWM49kzQPeQWlmc6A57FX8C/ +B/SjRc1F/KK/7Ad/NXjPFpVjiT30S/pkA3iNkPtTrHzAvNCUav+0Q6exf6xx +vgn8mRjzdqxahOd2R6Zc90RBOh/DuQ8tKI9XF1QTEP/aIDcX9BzM354JDwYm +Wn96UToQu4kNvwq66x30fa85r2/WXc9kqu1WZFqn0mtx/FzLD8F8J4uqKWmP +l0uyyW7blrhHfJjjXHAhUY7vyPTNHLHUtfmtfFGu+f5Y0pw7QM8FvaSg/3Ms +8yL4p8BfVBBOEwcZ18Ra3jdXuMag/Yn/gyG/qqQa9ATGnHPOYX/WNOt4xmoE +3W6D/PmS8ug+9AvRVmHcIvBPl2RrrrPA86/390d1zgLfeXkHIFbmMOdSjH2n +pBqajWfG82IdzFj/ZCYcIZ48GOSv9Nt/BMUeY7AG/e6geNsbVCvQb6ah/zDR +3X5gUE4iTk0POos1rg3m+w2BuNYchDsHg2od1jZ16Ntc97wRVA8Rr+qD8hTz +LmOQdn/aOXSGcfI49H8SvK8WlK+7gjDrf0G24xnSZ2k75mPm4jrXlpNT+ddK +16bMoU96Hsou8lp8B6EPrsxUL6y3zVn7rLG/cXyZbXtvQfUBY5B3YObMoRjb +k4l/Ff2MouKNscb7G7GvPNNbCWuaV3jvT1STsDZZkequuzHTmwhxqCrTfYlx +881Ud2nmlmHgn8ukxwuJ9N1g+3Pfq60zz4Y0cYFrbvB7B3VaZbu96/r8HPqL +mXDg34lq2nu9R9p+jO3G+1OzY3mL7xq/QP9+ovveJczR6TP7T6I46CwoFlpT +1WrHUuVJ1i3cD23A9ybe8af5LWhAov/MtcyzvKe0+a7CMx9q/fnNXMU8VZMp +J3wYVFfErrWmei3OU++ajLw5Qfm7mKn+OmB/GOh3g0GZ4vViUTF7zDpQz+8Y +x4hn1OGY9TiYqhY/lGq+w64LWQNyXeJmm+/gb6V652JuvCORXKvvYmycl/ui +rXLGojavxX+1riOZu7iPguvAPn4Huz3T+gescz+/4dyJfoBjr3/QmoctwzxP +PuNxuOuHkV631TL00xa/abzluGZ81/t9rH+iNVss35DJ7l8ihmTSlbYf59w6 +Hn1lInzlGxjlKJ9kehvi3eLVoHsF7wFLwLuS6vx7Uvk4/Z5+/qrtz3NY7Ppw +Waa3ANaOIxjj9sNW4wRjhWv/Gv+OQ+Y3fOPCWl8rKodVgV5QlN/z/ZE1yPmg +dwrWZb/P9B5Bn8tnyjE7/R7y86Ba5kJJ70q8q92eKG9UFZU7Pkh071jH8/G+ +uD+O329M4z4a/IYz3W+VdyaKZ77t0C6vGXuJweQ1mH/rfun6kH5PX2T9XO23 +uHvQb00U4++BbnIuYE4Y7De9z/B9Ffp+tySMPmx/oH6PWwfGeLfxucsYP9p1 +3Tq/1/A9eLLfE/phzf8DIwbjCg== + "]], + PolygonBox[CompressedData[" +1:eJwtlmlsVVUUhU/7Otzed4/Btgh1QFq0SqxC/IExQdCIoBalNNHgkKigiDhU +tMXoX0EFahwRipY4xKLRoCDOMhttZdA6RgUSDSiOpY1SCzh8q8sfO2+tc/Zw +zj577/uqZzY13lYYQliAFCH/loYwqiyEzSUhbELeiiF8WhxCVy6EQ/kQBpDP +ir2mvclZCGMxPAfbLA1hN7YVSQi34mcu8htrs/i9DulFfz98CQGvhR+Av4s8 +gu0X+HsPPAP7iUgt+01IPCqEkfjrx+ZBYi0Az2Z/PnsVSDW8HHmu0Dq/pI71 +Kv5exF9AzuN89+lu2M+H1xYQn/27wHvQvwO7ZvgSeE9qfCeyGN6E3Ivt1fDb +wd1IHbnoVA7AP6e+y2r4C/AD8Ovh/ehUEW88MpL4FfgoYW8XZ5+AnIxOgXLA +2XuQZwt9h8vJ7wzy/gn+XsdfLzp7kavggXPvwfZp9G9SbtEbQGcR+CxkH/hm +7IvQO5P4t4AnEb+O+GMwT4n/GvbTE7+f3nEaOGOtu9gx5fuZxG+nGOui76oc +VGJfg25DYl3F0FvMS3wXvcm5xKslXjX6SeqzV6OzscR3uCFxjam2tNbMGevx +MxVpAa9MfZcOdJ8n9mV5x1FOPoI/hf82/EPDk5nfSG/VgvyO7QfoP8reCmw+ +BB+reoNfhM2l6P6JzW7wlaz9Aa5ifzF4CmtT2R8OXwS/AH4xfBj8Afj58Avh ++7Dpli5re8FfZq79cax9Bf4OqYefDf8e3Jk59+qRLvBx+GuF18Mb8FeOPA7v +V42A/0Fnf5Fz0ozuQfic4DP3g+8hlzXk8K9C99iRvHtTNX0YPIf9jsS9czfy +Uuba05u8DB5GjKXwQ/Dh4JPUI+RuOT+jwJvRWcdeDXwTeCc+23M+4w7wiej8 +zf4y+Ajww5nP8jFxR9CrS6PfchVrfal7Vn3ZgbTq/shAzj032HvRvaWanQcu +Jcb77C1Uv4BbontVM6IZPIW1GtUKvAL7XvxdAR7PmfrAryCrwJWsrc48SxYm +nhWaKTFv3xPRmc7+Mfi4P3hGTMb/N3oz8ATWvgY3ZNYdQ8xG1VN07p5gvwo8 +NPrtlNNKcFfetfcYvFN3QZblXJNbVeuZa0U1MoTYtdG5z3HHU8CnIW26O7wO +nEbXimq4TPVIjkeXuXffhq/B543BOVkLTqJrXTVdCt6Qd640szaC34metTrT +lrxnpGblTHLzK+cpjK515aQg+s66u97sIPsl0b2iHikGF0X3inokB+6L9qUZ +r1k/LfPb6Izleq/UtaCZdUT9lnlWquZV++p59f449tvRHZp6dqsmDoPfjJ5V +mllDyMUlmXtNNXA0+z3sX1PqnpkUPZM1m7X2k+ZRtO9Z/3+bNGM1y+TzDeUi +c+2rhtaAR0e/jd7kVHB75trSDFoJPj66FtQTJ4C3s7YePJa1beBGam9tmXtR +M7c6unfUczXRs//zUs92fQP0bZibeLbrG7Elsy/15Fbw8mzQdPCb0gZujZ59 ++ubo2/NQ5t5TT6o3t+Vdi+rh7eD1mWezvgkbwD9knoWaaT+Cv80829QDu8Bn +RNfiCtZOB+/I3Bu6407w7MTfBM1o/Wf4D6K4FbA= + "]]}]}, { + EdgeForm[], + GrayLevel[0.7635738125691687], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmHuwVXUVx/c5+5x7zt2/c0zhAj4uCNqIaRioKDjXHj5TpsEpdOoPLQnE +ERQrCwaDzEqxIkkeXscGAb2ASIggiILYVBMKVy5aAcJ18jGYlmE+mjAc6fvp +uxz7Y5+1ztrrt37rt96/PWT81C/fUM6y7PVSluWCa/WzTs8Dwoc1s6xezbLT +BE8R7Vbx3Cr6yfpfFf1TgutbsuxRPbnebav6P/hg8U8XvEn8O1tMH54bbgi8 +r9YfrGRZH8ERUuIu8S8R/3DhvxS+WPhnhM8Vfp/w7VWvZZ/BZe+LPg8KrtBT +Fd8yweV6TtP7du0xUbSvZubtCf4FufGP9NkZZzhba2qS3ak1ewWTYK1k3p3B +P1I8C0XrkpxPN81/quDzetaK5znBU8vWCX0Gac1UwWvEP0+0dXpG5D7LupA5 +t8Vrhwk/UevLevdJwTMlZ0HJvsAP74lnlGinl223edhFaw60mHa2aH8VflD0 +YcL3C98vfE7NNsE2J0huSbKGCJ6hNYfEN188QwRf1Ptu4e8Lf6vF7weK70P9 +bxfsr72u0vtLpU9XyMNGI/T+NeEHStYZfvQ+R/AN0Q8LP1f4m/CX7cP14Uf2 +YP/7JfMs4RXR7tb/p/T0k95DBbdr3zbhk8v2Ef5ZHvzwLsscj++GD4eKt3+s +xS7Yaal4rhJPJvoE0Q5Ln7db7M+hTe97UtP/sQ8+HiqeV8XTK/zopm01QPAD +wX+2+Kz46p0W68K58Cs+xf/dEZfHxJpjBY/PHRPEw5GiDcmdI6fmkWOZaYOD +Pj1yCf4N9Sy7sTXLbtMZalo7MHdsE+PEOn6pC9b0nCb8sGAFWcLHlEwH/4Tg +EXo6hJcqXgP/Gsl/WM+smmN2UMgvKtYbHb6QjJ+XnLOLcudtdzK+XbBL8P7c ++btR+g7Us1J2GCA5K3Ln+HWirdZeM2uuK6fEeYeKfm3dtiPvkUPuvyC5K7FP +oVwUvkT494X3yt77qv7fT/KXBj80cnhxbtrioI8r+eycd0DumMZulYrtgk3m +Ri6i19FHZNkV0qlNez4jeW/mfnec/lMw21PEacTbmdJ9hZ739G5osm1PFuxT +sY9vjXrYEzXnVfG+o7WtWruenBTPFeLv1l4HcteKhbnpc0quGcQY9L7iO1br +G9JxUNMxfbzgzaJfzlkK+/xr4Xf0+nqrdbsgOc4uFGyp2BbYgfzuH3Ygvtoj +Bppae6XWjpWueW75fUTf1Op30G+QrGsVE9cn59iFofNnk2V9TnCanrHCT5du +h8vGtX02KlmH0YLDk30xIuzAeeeKpyNqBv0F2rag/7BwXO0Wf1G49l3QyLLf +6n+n6E/IJk8L/5XwZwR/p+ce4b8X/I+ebcI3Nl0riQ9ig5p2IP7fKZlPiufN +ZBo2wj7zxLNI5x5djnpbcp4dSq5ZHwj+oHA+/En4zMKx+FxyrT4Ysp5NruM7 +BBeIPlkyh0nmv5vG39O67eLr1LvRJe95W+zb1nCc/E28W4SvE8+TgrdrzSOi +v4R/C9f3joZrGTzo2Rv6EhvUOv6fX3IPAOLfVVqzTO8eapgOzrt64TWfF/0n +wldrrxe11x3CHxX+qvA5wp8Q/kbyWXdWXKuozburzpfdWr9V9F2Ce8R/DTVF +Z5lSdg+Ap0/h/jFWPPMjBuit1NZnAyc2iDVwag31lz48Q2vvpI403Yd6K65t +7zSMv92wHTtq3u/Iwr4ZI/otNdfCrpgntpTc75CFzJsL91Vin/f4fHLwNQrH +0EWS8yPhD+ndXtnhZ8IfE/5acrxsrjjGdse8sShzrarFzLOj6jNSH4g9bEXM +LJDchcIXNlxHmIfIi6MK990vif6C8EmivyR9n2l4r6cbjgV8SSxtD0gOUotv +ifP+Qzrsqjp/NjeNb2o6r8/9v3mvI+YcaB1BnxEyONNbWv9C1ecC7gkcuDvw +GyX3SuFTBd+VzjPpv8K/1XTP/rbgTXquFv5dwQ1RJ6mXu0MmcdJWuEY/2jSN +/ahH6NAbPYL42hH2XNBinBpCDnUHDn1+xBZ1pjvqLfMbsyP9PcWMuCjmCuzy +zbLl9FS9D36Epxa8+4IfPfZFbwL2Bh37nRtxjF49oc8uxcpy8d5SuP9gK/ZC +R3SFh/nizJilmN/OKH88H54eszWxOV5rJwpOaxr/XtO1cHjM2cxRZ8dc1da0 +rH5N5+yMyFvgzPDxPQ3XpU7BeeSn8Lsa9iH1kdzaE37AR+QT8yizI/V/dNQZ +5qizYramTo+IOwD9bl7MycTb/Djvs4FXo5+Pi5qM3RaE7+hT50d9ozeOjHl6 +fszc9Pfro2ftLWwX7hu1yMeumG9nhb78J5/wLfHDTD4q5lH67JjoHdj6wZhz +piT3wcnJNQA6s+jAimsjcywzDrb/37wk/PHcM+2givvOCuF/1/rNwn8hPTfl +xll7ouBR4usvPV5PXvvzwjXiYMzqvOOszFfsvzJ06438JPaGJM+KJyTfIXZG +f+Jsm2Iv9kRvcGYgYpG6wzk2Bg9xszH03y9ZG4T/tDDt7pjbOdOmOBd7TAw9 +x2mWeL7uGFqfOxaQw5naK8Z3Mfu2uj/Cg3zuYotFu7jumEPG9lbLQTZ1nxnm +JNHaW903xkU9JWa4u2yNfn9+9EVi5unC8Zt0jgcK94djYu4jdonbTHs90eqY +5q6wLvooOUz/IT7H1z0H05e4k22OWeEboj/e6h5C7OyP+CEnkE9Npi/1q328 +N7Cc7HPiGN9yRwDiX3xCbcAv3L3ocZwf/0Nj/qT/cQ9jnudOdkfu/0uky6JW +zxd9q87rj/pDd+Qpd8Rl0T8uqtvu2PwS4fe1en7BV49FDLzctK+2yn7zct95 +0JN5i7nr/eQ55eHc91zqF/j9wt+teT4m1/gmcWzFPMwXa8PvawSPqZh/etPx +3E/15y/J727jjiD818J/XFj2mpBPD8FH+AoZq4O+Kjc/eXp0xXkLflzFe7Mv +ccf/rsjBj/zAOtYsDfn/ij3IOe4/5N0ryeeZXbjWtVVc7x7IfYeh758TfiN+ +yYP1sS99oH/FtYJ6RZ+mZlHD+1Zcx+lR3DfwNWdaFeeiH6yKs1AH14bNZ+e+ +410TeT046gWz+c7ccQgva9CBmL267rjFnvgMOcty1+wlUWeog+w1Pvc9k9jm +3nAodyzR6yaE/bmjcF8l75iliA3mqCm57yfUh0m572nk7PTcd2DymtmQ+CWu +mcW43yAjhU84F7HzSJyX2kNdo/6M5D5dd45h76lRK3oLz6BT5asP9X5k3b7E +ftgRexLvX6w75on39RHzPXF3o0/9ueb1rOWbyqHoza80XGNfbthv90YPpv7k +YR/6GrbDbtzJOD9n39d0H2K+4xz0IM7ym2TfTyv8LaQWvXy29r+97h4+O1nm +JYV7Gzam3y1OtumVhes066jVc5N9cEXh+WFi9MetyTr/IXkuIw4nxjc3+C8N +O+yIWWhOsv6XSc7Y5LvwZcmx2xn9b1nM2ej1ZHK9+I74tzV9B748+TsQcwu6 +5Mk+wlf4mjqGv7k/sOdewb6F8/Ni8X4leY4bl3wG9ibXnkqupVuSv0OwLzWK +uWBKzC3E1LaIK3IdfnKEWM7CX/TPPGKYnGAeI956Ym4kH8kP8oT85cz4fHHk +I/NJV8zJ1DH25xsMfiEmyfuuWPvH5Hoxq/B8gX3II+7ByCcH+Ub1YcyFfPeC +b0LMgsyES6MmEI/EM98R+a7IO2Qsj73wbWfUGXrLhLhrMLegAzZck1xHritc +r5jlyAW+XUEnB/nexrc1zsk3s0rMfNylJsVMtTbZj48k33E74p6L3aiRnGtL +zLL4kNrJdyfeYct7owYNDl3Rc1ZyfTlPuv0Xi2ne8A== + "]], + PolygonBox[CompressedData[" +1:eJwtl3m0llMUxt/be+/9vu+835vmUrd0hRtpojQQkcpYplrLH6EsalVLEWpF +yVTXkEbJYmVKaZCIosmsAalo0IDQKI0sTeT3ePyx19rPOfvd55x99n72eUt7 +DbjhrgpRFK1DCpEW+SiqhfJmHEVbkihqBq4Cfhb8EfhYLooqgxuAq4Yoasp8 +JfAE8BLmzwYHcDl4Lvh8cE3wTPD34H/4vhr4RfBy8HnM1wBPB68H/818VfDz +4E/BFzFfCm5TEEUXondiviVSPcMc0l1rYDsJWZlG0XHm9qKvKGId9nce0hV8 +kkPWxvZyfDTG39X464BehhSD+2MzlvmG4Ax4CPhlcBfkHPRGSFf0t7IECRnN +2sORE6z3O3M9We9e1q/O9/vBryCrsW8Drou/xeDfwC3Bp4Lngn8E1wUfR++G +PAC+AFyb+Xngn8GtwSXgD8C7FI9g2xipD27FfB3m54O3g5uDq4Ongr8FJ+zv +MPvMcd6v2eMV7D3L2CTdKTIH3B88ApthyEhwe3BZxjG+jPVuxlcGOSuxSM8i +ZeidWK85fm7Cf0fFjm+vzNp3Y2I+E71vzr6Hyn/w2d9CfuD78uCzvoNsAz8Z +fJb3kF/BTwef/X1kJ/iZ4FguQvYkzgnlxmTlDPoqxl5ibjxjKxOfbW7Wd6Uz +jsdmovIVGYd+iLGtyJgCx6gu9gXYzyhm70iP4Fyoh7RXPHWnnOtDbKcytxD7 +27CfXuycWJE4t8cx/3liX2XYfFVsn33AZ4HfKPbYCXCvrNdqhN/OiWtrCN93 +Qh+VdQwVuxpISc53qruUD9nI9gnFEP0L5IXYNaRa0l2WZ/2t7nREcK1NQ9Zh +25UYtMN2AD66oA8Pzp3XkLXM9w2u5fpIB/BniWtzLPYfo3+JTIld06ptxVyx +19hX6A8G18LLyDfga1mjLbZ3YHMN+tVIK/At4KvQBwdzzQTOtir13azPOJd0 +R0fxsZL5P5APmJ+O/erYNT6YuZ8Y6/2/7VDmjjC2tMDfHEN/LJjbZiObwY8E +c9MMZCP4TPZQyH56g0eDJ+edW1WJd2t8d0vMNR2R/uhvJ479XvZ7NOeYKDaT +GfsE/bpgXzWQVvKPj+eYL8RfGfrAnDlNXDZS9YbNabE5VFw6C5mGvhX/u7Br +w3zN2Jwl7jodXCh+Q0rBDRPXZoE4GnwQ2YK+m+8P55zDymWtcanWYg8nxQXs +qQ76DsYWxOYccU9z8CmxY6LY1MbmBPpE7Gug/6QYxOYscdcv4Hdjc5K4qRSb +As56kPUrBOeYck17OoR+iTgwNueKe2UjW+2pnr4FHyj2mqeCY/Ah+cJnA3AR ++A9wFtwY/B3+Xo/dU9RbSsBRbI4V1ypnlDu3EouaFZnj+/26O+yrpeYEccMw +/B1m7iR2+4rNKV/rbKl7S2PwPOUnY3Nic7q4vYxvIu7xFmzuZr4QfJjvi8AN +we2wL4l95ovFp6lzQWfS2RqBM0X+Rt+eA55c4LFz0dezxjLW2sH8AfU6fCwR +PzHWVvFLzE39qYEYfTeyMHYPUi+qnvqsE7CpjL4JubOCa2Zz6hpXrZcilyfm +XHGvfIxmP3uw2Rf7m43BNaxaXo3Pn9G35a3vZH+HcuZwcbly6qngnqveOw+b +pXn3DPWOxeAVefdo9WrdWR30znDXK/iZkvG9qIZUS6qB1uhNkYqxc7RZ4p6o +3qiaKFVs8l7rF/azFz9np74L1aBq8YzUuTQJXD81B4mLFOMN6hV597L/+mXe +PUe9RzEfw3l6sr9F+O2acQ9YnvdZtqPvY3wN9q/G7snqzeIIcYU4twrfN0md +u7pj3bVySrn1DjZr0a8Xn6BPZOxD9DWp5zSmOa2htfSmCcEcIa7Qm6kYPCl1 +LqtnLQ/mVHFrc/zdqLMop4r8htFb5i7w7dj2YGwg+j2pc1ljmmuvHMd3B/Z7 +CfqX4q+s70Z9dQE2f8Z+k81HH5Dal95k/73Ncr4L+ciyn36JuVQ1o9qRT/kW +581Gb5l1j1RvlN8T6jmxOV3cLs4T9+mNMjwx54n7eoHLE/cc9R7dwbDgN4fe +HuKsUcE9UL3wDeRhcA/21yJrjtCdVoIj1mW8ts6mnqjeKI55KLhnqHfMQh4F +35f6LXgH+x2E3j34bamaV+0PSFybfRRP9EHBb2e9MfXW7Ji49vSm1tt6WXDv +68ce/kr9RtJbSRz7RHAPUy8TBz0eXNOq7SPqWalzWrktDj4dvQk21TKO4XH1 +p8RvW73x9dZ/ILh3as1t4srgtVUDqoVNic+qfwT9K9yUOJfECdU0H3w2vYGH +8P3C1L1QObY4dY9Rr/mH7+uiTyHe87Pufarx+xnrVeQ9aq/iOHGd3pj54Jgq +trIZnPqNpbeW3jzL1Bv1D1BoThe3l6ReSz1EvUScJG7Sm6NScE9Ub9SbpDK4 +SurYifPF/UsT157+efTvo56n3qc1aqFfGZxr4iBx0YbEuaR/Hv37/AuQRbBu + + "]], + + PolygonBox[{{2836, 2390, 2388, 1172, 3219}, {3222, 1174, + 2312, 2074, 2835}}]}]}, { + EdgeForm[], + GrayLevel[0.8541200120107637], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNWHlwV9UZfUkgCfe9h2BJ6whVqUIIwrCpQQJCQMBQFGRXEhaxM21nwIpj +fhFMgLZWlB0RJRACHZbIIlakaqAtnamisRXKUii0iMVuFBRaC12M03M4p9P+ +8eae973v3vvd737r6/jQI2NmZUdRdDgrinIwpmkUFYHwVoiiWjwvgz4xxpMX +RZPwzMe3UrzPAn0Qxirwz2gZRSfBezfeM6APwfgi3ncAT02i6G3gbpi3BLzP +4/0l4FUYO+VivRZRVAC+JvAMA70HeHYDnwftKHmx5+t4rsH7LeCfDTwPc4bl +aN9+mHMr+Nvi+7XY9y48DwMPwNgXTwVwMcbnsNYl8LYDHotnMejvY68O+VG0 +KV/fOoI+GPSbMBbiGQHcGeP3MVZi7z3QTyZX+IfAbTBvfCvpZRxkmAG+09hn +FOYsAL4P40rQtwA/AProbM3nXJ6pJEfn6kmZMPbA+AL4ioF7Yd57eIZjTk/I +2Q+4FPQGfJ/TQnrh3CcSjV3xfQ+ey8AfJHon/VtY83XgZuBPEp2ZZ88E3THv ++hrQGoFbAf8TPJdxrvZ4LuL9Zrx/BP4uWKcj8CngrwB/hO+fQobWWbpP8s7D +k9M6itaC/nGsbxnIWhdJ5rl4UtCqWohOvAv7nsX4Ntb+OfA9WKMX5HkTemrM +lf1ljKn3X4CnDDy9U72/6Xt5GvfwE8i0BnuPyhadc2kvX7LNUJ453rdL0FgA +OX8GfAPmJFhzeq7ko70WYd6rebI72inXoJ2NxF51+fKJqfg2LVf8p/F8jqcJ +z/NY8yXwluNcB/F+iOvj/Qr2GIZ5B/B9FZ4G0CaDZxHWexbPdfh2CPSR4L8d +vM8BbwXPg+Dpk6e5gbYFejnGI6AfBr4P/MXgvwSbGp6jvbgv/YQ+Qtow038J +/ntBuwP8R4L09Vfo4Tf0H+DbsOZO6LQWvC9jXA76FeDCRPO2A+8G/avZOuMP +gA8k8tndlou4JJIP0X66A9fEsh/aUVWu7pU+QdkZK14Dz5gs2QP59yXCuyzj +zizd9cJYa9I26fO8kxdxlnlBMh+mHwXJOQU8w4PWfSvRXU33fX2YSqdz8X0/ +dL8Q91qbp/snD210MWjPtJJNdwPPU63ktxtaam6wjXNd2vkXsfcm0D4Lok01 +fXlL4aW2OdpeUVDsYOxhXG3PmAX69bHsPfN/9l9l/BTm1GE8FctWJuCpztY4 +0fF5WVDMOgeei7HiazfQDgbd2W04dzXwGtoIvreHzy7DuZqBl4C+EfQ/MoYB +rwU+Bvw08HrGN+BFwBt4r8DfAV4HfAJ4NfA24AroORuy3IsnH+/PgF6P8UPw +/B06PJ+vWPFl8DWB3gH0TsAXGPeAh+JbDfS1PdJ5GvC04X1DBytaas0L4Psx +7uFSLBscAZ5XwN8FPIW5iqF77Yu0+dPGXIc67pyrfNc1W2suizSu9PpNkPGn +0Mm2PPEWmn9Sqr3eD9qD39pG8mPGpV2R/JVxjL5Du6bP0F9oj/TrV4GnpKLT +F8ekivPvOVcQ0/+mpfIN+vdDqXyA/srYRkxfGJdqL8bOB1Pd70HfAzF9szzV +vowr9CGuSV+bkEpmxlSej7o7wNiYJf239TjPeEWiu1iZKJYctG7POvZRt2tS +8b+AcXmQL9AnGLeYJ+gvXOOs+ecmiq1PYvxb0DfuQ1+hz9B3alPZxLtB9zHb +MXmv42qjYzVptPVTuLtTuLs3QMvB3sfxPTvW/R+3zMfxbX8r5dHeefJn3nsb +2w1tj7R603kO7rMjkrysXZgPNmepbiH9GNY7ka+cMTJPttTV8h00D9fjutQD +7W25bY/n2GvZlntfnn2v51Oe3+EMgxi3E/lTqe3qUehlPt7/DXovPCW0K/D2 +BL4ReDRwb+D+wEeB7wQeAvxn4DsY3/KVI/uAPoA6ipUDmAtOAm/B+u8wz4OW +SZTH52DcB3o78HyWyNd72993gH6SegR9EPM1dQfcD8/d4D/POJCnGoI5uS/o +g0H/A+jFic51NpaP0df64P7LY8XdCoxfiFVvrAZvT/sh6ybmJ+apO2PF6Vvz +NedUqnh0EuMa+8C0RLZwyTmROqVuz2Du7cADgX8L3AO4AHgocBFwAB4M3AX4 +c8wbCNwu0T2Pi+Vn9D36+OPYaxFwjH2/DlwJ/I9EvkEfWYux2XUv61/aE++B +/sf4TV2xVmQ8HmJ/px0OtT10yVMOIP+fYumQumScHuQ4wzg92P7+Qaxz8XzM +IQMdH34fS+fU/V9i7UUbaeua9WiwXN6rKiiPtU7lk5QnP5ZN12TLbplv6IvV +ieZUW+YJzlF8XxHkP5MS+Uq27afKNkZbo4/c7FhQ7TxJH2Xsp89zjyOp4lYH +9xbzHGcmY/2ZGD9O5E9ch+uzxmcdcmOkmNHJcYO+wtp4QaQegvc7MZIet7nO +YW4jnow9N8TioS2s8t6fBsWZvZaz3r5OnUwBf3fYZNvW6hPYL4ynbwXFw9Wp ++qqvRdqXclP+8qA+6mo/laq2GuP6irn3Luc+nrvGZ6edZrwW7Y61PfF/8xDP +9JrzE2msk0ivSHV27l8WqXZkncDY9aNYvkCfYF3LvPtAqljNeoo2wXqU9d+o +oN6La5S4luzvnEjfow9OT1UvH3dupn65Js/Cu6p3fNxtO6a8S1PVZ49jjU1B +eSeOpadmy82cRZujvbG/oQ8yxlJ29mWPAZ9JxM/eiLa3wrGavS7rrDbue9iX +sRalTHW2gUb3Hew/xvoeyMP6kvdyT5Cv7rTMzYn6C/YZ1CP1yfy+wDZHe2N+ +6OccQblm+CyVvkPKPMT99Tcd70nj3DlBsfdMKv2yZmMdwjqYeq8J6kWvnt19 +JGsW2v9M78M9OrvnHQyeE0E57BzW/HWsvMD8wLUHuM75Vaw7ZW653rVrb8w7 +EisHMRfxrCWuZ8rsc9TVTe61+4P/UKyzFyT6p0AfqAjq4WmLE9xbl9kvGOMf +9jv1wBxEXcyy3fMsr8TCjNnUWYF5WGNW+M5oFzdY//tj3QVzJuU8aVkXOR7Q +flgH8/zznfcqfQf/SvS+z/13uWWrcW3DGqeHe/wy9yLd7RePOq+V+5/EMt8p +4/EG+2ax/2OMDorNzA20L8b1jbYx2iLpzBflPh9loD1ssb2xxuvs2pj1Pecu +tp9esczMG/WODxn3zKlzxXrbP2PnCOuH93LZcyk/fYhnoI2ssx0yRs6ynbVJ +FSv4T2i6e2fuw5p3s+VscoymjTI3bnL8YW/GmM/Yz5hX51jB2DbTfsKehHp7 +NijHMhYMdWwqsmzsKct8B+y9GpxXCl3/ss6vjFXzsPbZlsgedth33rFs/BfD +95KgeMS4VJlIduqGPBms8y7etwb5R5Pnzo2F2QNxvWLTWcvzvnhv9K21xuf8 +H2ppUK9F3X7b/0K2Ws+8275eh3VTg/VD/6u1bilLX5/xWKK72+N6rdRyz4r1 +v+CRWLnxFte6h1zHsh5lHUP7/0aQfz3mGEL7WG/7Yexeapu+WjO20D+pN/xP +j7U3/W++fYz9IW1vIdb8xP0d+zz2nFzze+F//RV1Uu0cu925bKP9gvUW/bYy +KB/Shpl/+Q+Fc8enioULHFevcw/NnMF/MdTbxFS9MePXk0G622w7pC7Iy56I +//V4X2NT1THkuT/V+evtv422YcrJGp3nnR1UP1E/TwT5U3fH5IuJbJr/5Bod +j0p99nW+U8aSC/ZzvjfYBvhfgH7xXfAvicXD3vo/YwWwuA== + "]], + PolygonBox[CompressedData[" +1:eJwllm1MllUYx28e1Ofh3PeNuGDZdDVbW1C2QMtKTYUUpFCJNy3FCvtQbWLa +AgRF7EVBRAmTBNSorIRe1vpSW1n0Jcz1oRaGgilFtkpKKNPV1PW79v/w3/P/ +n+vlnPuc61znmVa2rqA84nleMxgHsnzPcwyUx3leJrzSed5O+A2M9aBr0DOj +ntc53vPeCD0vEvO84wme9yFjaaCQsbfwX4x/EfxB8CY6B10Af5L4CnQy+r/A +85ahV6EvguPoYvQa+BUwhD5ITAtz5ZH7hPmCtdgSiB/FnsyaxuCHWMfkRM/r +xZ4d1Rp/JPYE432s76YJWmMrMaP4d4G98Azi/yBfIUiH3wMuwUvB3fDl5DgM +vx//FfAkYt5HV5Hva3QG892FPgoq8J+DzoQPgG58N6Dr4NcTfwU9njWeZR23 +sa7V+J+G94MuUM0BdJBzC9+7CP92+BGQOkFzpJPrcqC9s5zr0cXY34bnMlYC +fwh0oR9APwwvBe+gl6BXw/N9neVWxpbBB9mbAfAR838MTpJzCb8RMIj/+UBn +YXu+EttKxrrheeRYBb/M2CF0tn0ffBE5U+CVjC2EP4LPu/CljD0K/zfQ2VkN +PIF/H3okTjWwFP0YPu/Z2vApg6dgnw1fw55Uof/yZbMzaMd/MSiIU45efAew +z8O+H/08th/Q89EH0C+iW/A5HFHN7Al0hnaW+ehJ6CH8F8AP4r8d/2F0JvpV +dAP6N/R96NfQTehf0FnoTnSjU60d42y7o6q5BvR20IbuAPuYb1KczrgN/jm+ +27B/Fi+fL+BlYENUOSpYUxV1ERKTSv5qdA16InojfCI50ph/l9Uk9iLWc0tE +d7YQHoSqvUb0s9gjjPWjr4Lr4BeiqkGrvUR8NpGzbpzWeCv+p8BYvGLifcVY +7Gm7c5YvUeu29Z/HNgIWYnud+N3Yb7Qag2eBafD6BPUM6xXtoAGeyVgq/Frw +SaC7kwsWED+VmGN2F8EUeFegu2Z3bDb2AafayGb+tb5gPAeUw9f54vYN9i1D +7MeMqGrcar0P+1y7a3Ym6H70vegO9FZ0E/7TIzqDXfD9rDeP9S4nvgT8Hqo3 +2Z4ns7YxX3uRQvwoPBX8bP0D3Aw/QHwSWBFVjjSns7UzrSJ+c6BYO4Na+I6Y +5rS5JgPf194Pg6PEXnDqZdbzLrGWb60HodvIsdl6kdNeDoNPA+11Y0y5bM/t +7k9Hz4lXD0gP1auth7cQu83pLtgdOkPu20PddevpL2H701ddWw1YLWSE6v3W +k/Zgr3e6O3anfsI35qu3Wc9oxtbD/IMx9R7rgefg/0RVi7X4bXSqbTuDJHJX +ONWy1XyInutUW1YjNeTOd+rd1tOb0M849TrrSUfQraH2znrA3xbrdDZWo7XY +c53eAjuzenQJ+vE4vQnN6Kecepu9kR+gS53eyqugEz3DqVa/ApW+7nZPTLVu +dfFloLOwnpVj3+Z0V6ynnPN192cl6C5YD6hzqkWr0e+x3xGqt1sPbsU239fc +tsZ58IFQvdveTHs7R2LaU9vLLWBmqLfM3oi9xNc61b7VzHe+3nR72+2OVGPb +5FRL1oO/se8L9dbYm/iyvX2herv17Db0FDu/mOayd/ZpX73K6ms9fKdT77Se ++St6h1PvtB57Fv2CU6+2Hn4KXcxeTI2pX9udec6pt9sdPWn9jZq7GNNc16Dv +DPU22Zv3Cr6zQr199gbtQ58J9F/D/mMUWX9B98bpjbW39n+XVCvC + "]], + + PolygonBox[{{3069, 2447, 2444, 1947, 3587}, {2909, 827, + 2091, 2021, 3589}}]}]}, { + EdgeForm[], + GrayLevel[1.], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmFuMVtUVx8/HfOfMcOY7M8NFhltrmjRpuVhBaQ03C7Y60ALaERBBbWtJ +oS/FQUqhEVFfkKRSUS4qPIk+CKO0RSLDgCIzDlUHEGdIKTQptVAfTMpFSlLU +pOvH/09Ivp29zjrr7LX22mv919rfNx5e0vzrPkmS/LWUJFUxL86T5JNykvyv +kiTL4kVrjLbgV1UnyVPB3xzPy2qSpLNvkmTBOxXPXZZB9ozpXebvDXpbSd/t +CfrJWOOzoDfFaM+SZHfMj8Y4ZHm+Oxn8N+GFfHfo6ghdr1frmfd/SfR+t3V1 ++Xvor8L+3qC/jHlCmiTPB7010fyc6ZVhw6U+4j0dutZkerc20/OGPtZve/qF +Lz4N53QXktkYvO3W2+s9Pplq7/jgw7D5YNi8I2x+PHRNq9I3m71v/HDIOrD5 +JyFzT4x9QX+QiP4w5kdC15IYA8J/e4LXFmNC8Dti7mTdoH8R40TQC2N+z3xk +5po/J+alscbiGLtinQNVsoMz2es1R4dMb7wfGLy3gh6fSB/rLDG/f0ly8EfF +fGMqfROs52+24du5/Ls8fHYk5sO2k9EddFMim6CxsTbV/veZd9j84/F9V9B3 +59pTl9cZGT6dGqMr7DlpvcivDPlVQf8u5tMxjrL3XOsdtcw3U9nEOpz5L2Os +76N45NyWOT7gbUkUn62Z+COtc0SMSeHDAyX5s6ou1o/nr2rlZ/icF7x3qvRN +bcTDgoiH6dWKuUuORXLoJufR4Zh7Qm6nc+oL58NbwWuJd2uqFUPoJPb2Bn95 +8J8N/p6g22L8Ieix5EuN9PeE3MyYGxLZPNl2t9QqJh+p1X6IBWKSc93peJgS +vvtT0O3hyytVWgec6KzSWtjxheMfO98N3rgYHSEzPPywNtUz382yDdg/zd8u +rxV/bOh5Nteea4J3a7y7KUb8kiuxj5oa2UzukYMNFfnxqH2LLvid7DWVHdjw +90x2Y3Mp/PSdGu0/rZP9D4auImTuduxt8vnjB2zstJ27zW+zzGd+JtdPmT83 +1h7YV/nap07n/p9a2QeNf8GwwzXCsTyV3nZyJ57P1ijHbguZ3wc9JHijg340 +6DTo90NuVlnYwHez/G1t6JtpenrIb65RboCPM8r6jvfQYBR6LldLV99U7+Cf +yoS5x2I8Ec/ngr860VrTHffXcAdsYA97Y7TGaDM9JGTuI89ivBMydameoa/J +gS03ZOIfSJQHj5WFt1+L55eD/nqiuBla0jnuL3SOwyvS02a95EM5RmNJOTAK +n5W0xjavc65W/udMBoTeObanO8ZssCYRD/rtoF/KFT8X47sHg/dAjIOJzmCd +dfENezwSc79Y815/C143l7X2+Vrh7IWYK6lk9ieam00XqXTzbX0mDIQ/JnQM +K2n/DfZJfaJn+McS4Rx1hXx6I+y6uST/k+/DS4r536aSw7esOc7fk1vkGHKP +V1TTV8U8Jpef8XdvIjnWW5GqZhP7I0taC1sGGQvJl1vMv/ae54+9xljn8ji/ +gz84FbZwRsx/NM38Z+PPKz5HfMD8qmV2Wh6Z/qnkkNlekczEXGe1xudFrXvK +9rO/zWVh0oqKYm9Efn1dYnBInMUCn3uTY556cTTG/KA/4txTxQcyo4L+d9BL +E81nTTN/WlY+8Xwm6Bb6k4r4S0PvP2P+l+WJZfIen662PN8ODHvmOd6uVCT/ +q/i2IVPcdlv2rOXLXoPzOR/yp4jjkK/LFHvEaSVTjwGeDE/VB+BPeoF21/TO +kOlwjVzlWCOWDlUkMy3WzDNhETjzrVT1mDo7Ide5vFYR9oBH4MyoXLH0WEW9 +zy73eI22972ge2LNj2PsyIQ72xxn1MjLwRvsGB7u+ASL3jD+MO90PoAVr5tf +H7bdb8wB+1qNRazXaL2NmWTeTTTPs/ywTGcNFnEG8IkFas5DZdUd4mW+v21I +9Qy9r6J4nppLB3vsivl0WWfPuY/1fsi5/pmwBYyhr+HsFibKf/ZKnINxYB1+ +IF5G+rxbvC5rDspkD3YOzZSv4MZCy9AzfmIb4I1I9Qw9OBPuEecMaL4FP/s7 +5ma6twBniEdyAL30TcTLa4l67+Xuv1kDO47Zb9RsMJ4eARofUuOXukedkaqW +43P6pPXuyziHGea3ZKq39Fr0tktNs6fT3su6QjY8U+hMfpQqZ5l/bPrhQmv+ +POZFjvft1jUsu247dIdrJfHJnQW8AcvAjwtBn3cOgv3cl8AecuigfULej04l +A1ay/87kui84J/qLJ1L1ozwPtV7y+4zPFz3nrOtSzJ/HWJcIz8D9DcY8sBvc +e7HQmi8U8tUi7/FqL2i/dZpPn0+NHuhYBGeoc287NsBH/Ebu03/Qe4ABYMoH +xkjij/in9+42fs4z/6jjs9Ey9PYdxhz6ghusl96E9cEP6mY/4xfnMdg2zDf9 +kXO20VhJvXjZdQHbcts5w/T7zq8TxitiY4hzBlwEK8HJnxWKlZ/GvNV3sf7u ++xfbh4t8txrgXrHd94Vmr7PfdY36QpzcY1/tMw4XpunrCuPpbPsdnzebBufp +Eeqz6zbWe338RW7S2xBfFxwbz+XqNccUugOB0eyXeOF+8wx5lKtufWlc517H +WRDjPY7z065d4Ab3oXbz70zV56F3dq671T8q6us2+I7z37JilPjkDscdjHgY +n+odfO4B1HLOi7jGrtX2badzknzt55wFF8Escpz44j7ZZNt6XDvIFdZoMe5e +rSeuNdRIeGAz9W+093vMMuQr92FqxA7nO/wTxs45tvO87b/6P0mmXqjV+q/e +p6pVt8Bq7Gq136g7qfuT49aFTnAOnOBsOrx34g36uGWactXrrvDz5ly17btx +vptyncW4oL+f6l5NXP0mVzxUgv9iLh/eVqgO9nr9F3LVre8Ff3KqmLma17nu ++L2hq4h3F4NeHrznc60/ttDZdBjf1ue6V9wc/BW5zre+kO0d1rUxV+97a/A3 +5OqPbynkx8999gty9RLnQu8PUsmTC02p9ktdftP/E+HPhvj+csivzBVr0NSL +ians2WvMvFi+rueSZTjbUz77LX4Hv9c+x2beoYteZWoqm8m7k/4WG6an8iGY +xnlzxtR8eir+MyHGZjtPqe/gK1jHXvDhGuMJ9+mJtpn8WeO4aI49TuK/kphv +T3XGnC93iB86B8GQ281/IOTuohcp9P5Oy+z2/07YTJwOcg+PnqdtAzh8l/38 +UqH/trbE/FCMafS+hfCM/wuu3duY6VOwcbLjB1wnL8c7l7fan1NS+XG/MW2K +aXrzWf7PYInlwVXODbzg7PAl66Gbc6bP4LyoF5Os945UcUPMbPB/fPhytn13 +b6E4O+d4mG8f3R/z3EL2zCn03Vr7BH802SfUmUGuNdSlBtcmfDPdMUA/12Of +gNN1xm3Oi16KWNjqmsseWWug42Gu6SOua9O85rxCe7uvUK2ouF5QH+/wfjf6 +f0z2Tf3MXUOJuwGuEdS6wa539DX0GNTVXf4vk36dfmSk73r/B6EdypA= + "]], + PolygonBox[CompressedData[" +1:eJwtlltsVkUUhaftf+j/n3OmtIhGI4kxMVFpFVCUyEUpXmhVIFwL9CLypIkR +qrRSFSK++KAiilrER9R4qeIlhlBJxNhilBbUYqJivAsPRigEGy008VtZPqxk +1tkze2b2rL33uXTtuiX3l4cQngQF8FAOkhAehWxkvKEUwp5iCE9UhrAVnMhC ++LgihMOgoiqER5izkfmPM38z4/OY/y3zJpaFsG5cCFfB72P9CONxfB9IQ7iJ ++TeCZTGEFvz14asBtDM+iH0OttlgCfal0XMX4X8V/juxn2Y8DDKthx9l/B04 +gX03fBLz34fvg5/P/ivYfz37t4MPsF+C/SPsn2Gfh31D0WerBR3wXvg2xnXc +YQB+EP4WfAq8kzVdrN1O0DrknzOfKfe3K/Bdzbfj3GU6aMp89zp8JJWOwWvM +mcD+C7F3Yt/BHR6D/4mPCfDl2A/jaxD8iK9u7D3lnvMS4/rUd3sX9GK/F/4b +41/AP/B98NrE30bh5+BHWH8WXID/B+DHsf0Bzub2IV/vgbnYesGViWM6jG0P +/PLEZ/oZ/iH8MvgB+DfwHviF8Ffhb8KXc8a58MXw1fCnuH8FmMz9LwLdjDPQ +yLi+0jFULDtZs5W1e4t+A8X+mUqfWWc/Crax14NFa1JaVEw7S35DvZ3eTHs1 +luxbe37Omt9ZuwX/O6NjrFhv4Xy12LrACOMzoAr7X9h3lVnjJxUv/M0o+ewF +0Mf8usQxHOPsX8BnJY7xGONFqWPTB4awD8LrE8dkRfQe2utv5ZdinTrXpCFp +qY01q+Djmd+NbQ28FV6j94d/De5gfDtYg6+fsB8q+E30NnfBm+HV8B3wVniT +7gZ/Ed6iN4JH+AvwZvhSeA5/Ht4P3yttgfnw1+G7GL8CZsKHwALm3gnWRueg +cvEU6EiteWn/E7ATfnf0XN1Bd5EmpI2Mb9ulTdBWcM7UYLs2+mw3g0PYrok+ +m2KoWI5lrj2f8i4XU3+ui47VfPAl9hnRsVKMFKuT+Py+YA1Ly9dHx6YRfAX/ +F/uvBWte2h/hjY+Bnv9r2DnsxwrOKeXW6cx3UwwUC+WQcklz2uGDnKsA3mH9 +2yCPjo00I+1Mi767aqBq4VR4mrjmqfZNgZcSa0ramh79drcqB+HFzLkgTUvb +Q0XXKNWm3ew3PlpbNzC/P/VZBku26UzSpLTZDxamrjGqNdLQMuknWlvSkLRU +LLqGqnbuZ49V2G9JrCFpqYY3KMM+h5i0Zd5Te6tGR+Y+HZ3bM1UzdP/Uta8b +ezfrX47OTdU41Tq9ud5+HlgZ7VO+Z4Okym8zUHRs9UbrM/eOzfibrFzKndvq +SepNzZxtWtGaUc1pivYtzUv7p1i/v8I5r9zXmXS2Ub5Nxd/Eknuaepl6iO6g +u6hmVONrcXSvWgBfydqG1L1FOaRcupq9R4uOne4xKbfvH/A1FK1Zafc20BLt +Q76kgWdT9zz1PmnkOeUzcxoS1wjVCtV81X5p+B7tnbuWqyarNqsnqjcqB5pT +x0ix2gS6cmtK2tKbrsb3w7lt+gfQv8CB3LVAPVW9tQ5UVDpmw8Trjdy1QT1N +vW1W6l6gmqHa0Zr57dTj1es35f5XkA/5Ug4qF3WnNvZvjo6FapZq15HcWlXP +Vu9uL7kmqxbrn+Q/SAAivg== + "]]}]}}, {{}, {}, + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwVz0dOQmEYheFPnRAsUQZOGDnGxK7rEFGKiMgCdAGWNdhpK1JBsWzDOpaE +5w7evOecL/dP7kLjJH88FhFlfKQj5qYietMRs1ycjOjY/vidG/Yj1N3a+pb8 +xnU+TLC39E35lWt8gJq9qW/IA67yfnKz3+vr8gtXuIyq/U5fk5+5xMXkG/ut +vir3eY93UbHf6Ctyjwu8k7xlv9aX5SfO8zZK9it9SX7kIf4x7z8vOcUP3HHv +ook2Wsi45dzOvHGKC5xj0fbj9otPfGN8JuKLJ3jIWR4BPBww8w== + "]], + LineBox[CompressedData[" +1:eJwV0L0uw1EYwOHXYNEPDDaLTU211sLERCLE0DKYdNFW4q91D6zuQJAmBhFJ +1dbWBZQVV6BGn0kfwy/POe/JGc6Z2a2s749ExJb6mYjpdMQD82MRZ9bzTFIR +57y0L/CCC7xik/dcZItLbPOaPS6zyxU+8oZPXGWfa3zmLV+5wRdu8o13HLDI +d5b4wRa/uMdPlvnNNn9Z4w8P+McO0951yBQTZtjlOOvMssEJ9njC0/877iea +NZvyFznW7Y90rIbmzKrOaippW6PZiB1OcggS3zMJ + "]]}, "0.8999999999999999`"], + Annotation[#, 0.8999999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwVzb0vg1EYxuHHSmthKhIlrZqqlpJQLe1goUFsFmOHGgxNNDFbJAaMjcRg +9Q9Iutk6+1hYzRKr6wx3rvf8kvOe/OnZQXcsItr2NB7Rm4hYZY4zNmtzmYg+ +N/R55m0hqV9yWy9yyUq2qF9xVy9zxSpW0K/Z1qtcs/V0T7/hsb7Jmm2lf+kP +PNHrbKS3bFl/ZkffYdNaVtZfeK7vcT+9ld7Xh+zpo2zEoe8jm9Z/nN/0AT/s +096dv3jBR/b5zVf+8Ze37t7ZvU35V2Yy4h9tuCSy + "]], + LineBox[CompressedData[" +1:eJwNzTlOQgEUhtGrdqBUkkjpElBxWoVxCfZAa+E8jxA1cQUuxg7EEcQJBRTt +3ACnuDn5/vde3vhScbEwEBELbn444i8ZUU5E9FjiL+fsPzzVXZ7wm7P2Do/1 +F4/Y5oz9k4f6gwdscdr+zn39yj2+MWd/4a5+5g6bnLI3uK2fuMU6J+2P3NT3 +3OADJ+x3XNc1rvGWWfsNV3WFK6wybV8e8Q+d1wVXdE09xEGXcVc6yWteev+f +Z749dxdu1LOxVEQfuV00dw== + "]]}, "0.8099999999999999`"], + Annotation[#, 0.8099999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2565, 3373, 3374, 3370, 3372, 3371, 2564, 3368, + 3369, 3365, 3367, 3366, 2563, 3363, 3364, 3360, 3362, + 3361, 2562, 3358, 3359, 3355, 3357, 3356, 2561, 3353, + 3354, 3350, 3352, 3351, 2560, 3348, 3349, 3345, 3347, + 3346, 2559, 3021, 3022, 3018, 3020, 3019, 2558, 3016, + 3017, 3013, 3015, 3014, 2557, 3011, 3012, 3009, 3010, + 3514, 3516, 3515, 2556, 3444, 3445, 3443, 3447, 3446, + 2606, 3067, 3068, 3064, 3066, 3512, 3065, 3513, 3607}], + + LineBox[{3384, 3224, 3225, 3131, 3132, 2566, 2536, 3243, + 3244, 3135, 3136, 2568, 2540, 3261, 3262, 3139, 3140, + 2570, 2542, 3272, 3273, 3141, 3142, 2572, 2544, 3286, + 3287, 3146, 3147, 2576, 2546, 3297, 3298, 3148, 3149, + 2577, 2547, 3313, 3314, 3150, 3151, 2578, 2553, 2993, + 2994, 2886, 2887, 2579, 2554, 3006, 3007, 2897, 3537, + 3538, 3507, 3508, 2580, 2555, 3439, 3440, 3438, 3442, + 3441, 2599, 2923, 2924, 2901, 3530, 2902, 3509, 3510, + 3511, 3600}]}, "0.72`"], + Annotation[#, 0.72, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2537, 3227, 3228, 3226, 3230, 3229, 3385, 3246, + 3247, 3245, 3249, 3248, 3388, 3264, 3265, 3263, 3267, + 3266, 3390, 3275, 3276, 3274, 3278, 3277, 3391, 3289, + 3290, 3288, 3292, 3291, 3394, 3300, 3301, 3299, 3303, + 3302, 3395, 3316, 3317, 3315, 3319, 3318, 3396, 3567, + 2793, 3496, 2794, 3568, 2792, 3570, 2796, 3497, 2795, + 3569, 2797, 3556, 2717, 3493, 2718, 3557, 3577, 3580, + 2801, 3211, 3212, 3213, 3597}], + + LineBox[{3560, 2587, 3408, 3159, 3338, 3337, 3407, 2586, + 3406, 3158, 3336, 3335, 3405, 2585, 3404, 3157, 3334, + 3333, 3403, 2584, 3402, 3156, 3332, 3331, 3401, 2583, + 3400, 3155, 3330, 3329, 3399, 2582, 3398, 3154, 3328, + 3327, 3397, 2581, 2811, 2808, 2823, 2822, 2829, 3153, + 3152, 2898, 2806, 3099, 2782, 3467, 2799, 3466, 2798, + 3468, 2800, 3097, 3096, 3326, 2676, 3490, 2932, 2933, + 3477, 2802, 3214, 3215, 3216, 3614}]}, "0.63`"], + Annotation[#, 0.63, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2755, 3087, 3531, 3086, 2893, 2672, 3004, 2754, + 3085, 3084, 2892, 2671, 3003, 2753, 3083, 3082, 2891, + 2670, 3002, 2752, 3081, 3080, 2890, 2669, 3001, 2751, + 3079, 3078, 2889, 2668, 3000, 2750, 3077, 3076, 2888, + 2667, 2999, 2749, 3457, 3458, 3454, 3456, 3455, 2831, + 2597, 3186, 3185, 3188, 3187, 2598, 2997, 2998, 2995, + 2996, 3583, 3585, 3584, 3610}], + + LineBox[{3540, 3102, 3518, 2611, 3231, 2612, 2936, 2728, + 3070, 3520, 2621, 3250, 2622, 2940, 2733, 3071, 3521, + 2627, 3268, 2628, 2943, 2736, 3072, 3522, 2634, 3279, + 2635, 2953, 2740, 3074, 3523, 2641, 3293, 2642, 2958, + 2742, 3075, 3524, 2647, 3304, 2648, 2961, 2744, 3464, + 3465, 3179, 3180, 2594, 2833, 2595, 3182, 3181, 3184, + 3183, 2596, 2921, 2922, 2906, 2907, 3588, 3599}]}, + "0.54`"], Annotation[#, 0.54, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2729, 2937, 2613, 2845, 2846, 2847, 3103, 2941, + 2623, 2851, 2852, 2853, 3106, 2944, 2629, 2857, 2858, + 2859, 3108, 2954, 2636, 2866, 2867, 2868, 3110, 2959, + 2643, 3533, 2874, 2875, 3090, 3561, 2773, 3485, 3544, + 3545, 2774, 3550, 2649, 3489, 2650, 3551, 2745, 3573, + 3574, 3209, 3210, 3590, 3595}], + + LineBox[{3118, 2991, 2663, 2989, 2662, 2990, 3117, 2988, + 2661, 2986, 2660, 2987, 3116, 2985, 2659, 2983, 2658, + 2984, 3115, 2982, 2657, 2980, 2656, 2981, 3114, 2979, + 2655, 2977, 2654, 2978, 3091, 3437, 2775, 2918, 2919, + 2920, 2779, 2817, 2816, 2840, 2723, 2826, 2747, 3475, + 3476, 3207, 3208, 3592, 3594, 3605}]}, + "0.44999999999999996`"], + Annotation[#, 0.44999999999999996`, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2552, 3308, 3309, 3305, 3307, 3306, 2551, 2974, + 2975, 2971, 2973, 2972, 2550, 2969, 2970, 2966, 2968, + 2967, 2549, 2964, 2965, 2962, 2963, 3504, 3506, 3505, + 2548, 3433, 3434, 3432, 3436, 3435, 2605, 3062, 3063, + 3060, 3061, 3502, 3503, 3593, 3612}], + + LineBox[{3386, 3232, 3233, 3133, 3134, 2567, 2538, 3251, + 3252, 3137, 3138, 2569, 2541, 2945, 2946, 2860, 2861, + 2571, 2543, 2955, 2956, 2869, 3535, 3536, 3498, 3499, + 2573, 2545, 3428, 3429, 3427, 3431, 3430, 2593, 2916, + 2917, 2876, 3528, 3529, 3500, 3501, 3606}]}, "0.36`"], + Annotation[#, 0.36, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2539, 3235, 3236, 3234, 3238, 3237, 3387, 3254, + 3255, 3253, 3257, 3256, 3389, 3563, 2784, 3494, 2785, + 3564, 2783, 3566, 2787, 3495, 2786, 3565, 2788, 3554, + 2715, 3492, 2716, 3555, 3576, 3578, 3579, 3203, 3204, + 3604}], + + LineBox[{3559, 2575, 3393, 3145, 3282, 3281, 3392, 2574, + 2810, 2807, 2821, 2820, 2828, 3144, 3143, 2870, 2805, + 3098, 2781, 3462, 2790, 3461, 2789, 3463, 2791, 3095, + 3094, 3280, 2637, 3488, 2930, 2931, 3473, 3474, 3205, + 3206, 3591, 3613}]}, "0.27`"], + Annotation[#, 0.27, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2738, 3526, 3527, 3525, 3073, 2862, 2630, 2951, + 2737, 3452, 3453, 3449, 3451, 3450, 2830, 2591, 3176, + 3175, 3178, 3177, 2592, 2949, 2950, 2947, 2948, 3581, + 3582, 3609}], + + LineBox[{3541, 3104, 3519, 2614, 3239, 2615, 2938, 2730, + 3459, 3460, 3169, 3170, 2588, 2832, 2589, 3172, 3171, + 3174, 3173, 2590, 2914, 2915, 2904, 2905, 3598}]}, + "0.18`"], Annotation[#, 0.18, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2607, 3558, 2719, 3484, 3542, 3543, 2720, 3548, + 2616, 3487, 2617, 3549, 2731, 3571, 3572, 3201, 3202, + 3603}], + + LineBox[{2809, 3059, 2722, 2911, 2912, 2913, 2725, 2815, + 2814, 2839, 2721, 2825, 2734, 3471, 3472, 3199, 3200, + 3602}]}, "0.09`"], + Annotation[#, 0.09, "Tooltip"]& ], {}, {}}}], {}}, { + DisplayFunction -> Identity, DisplayFunction -> Identity, + Ticks -> {Automatic, Automatic}, AxesOrigin -> {0., 0.}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines -> {None, None}, AxesLabel -> { + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + FrameLabel -> {{None, None}, {None, None}}, DisplayFunction -> + Identity, AspectRatio -> 1, Axes -> True, AxesLabel -> { + FormBox[ + TagBox["x", HoldForm], TraditionalForm], + FormBox[ + TagBox["y", HoldForm], TraditionalForm]}, DisplayFunction :> + Identity, FrameLabel -> {{None, None}, {None, None}}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLinesStyle -> Directive[ + GrayLevel[0.5, 0.4]], + Method -> { + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, + "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + PlotRangeClipping -> True, PlotRangePadding -> {{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, Ticks -> {Automatic, Automatic}}], + StyleBox[ + "\"max(y, 1-x)\"", FontFamily -> "Helvetica", StripOnInput -> + False]}, + "Labeled", + DisplayFunction->(GridBox[{{ + TagBox[ + ItemBox[ + PaneBox[ + TagBox[#, "SkipImageSizeLevel"], + Alignment -> {Center, Baseline}, BaselinePosition -> + Baseline], DefaultBaseStyle -> "Labeled"], + "SkipImageSizeLevel"]}, { + ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, + GridBoxAlignment -> { + "Columns" -> {{Center}}, "Rows" -> {{Center}}}, AutoDelete -> + False, GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + BaselinePosition -> {1, 1}]& ), + InterpretationFunction->(RowBox[{"Labeled", "[", + RowBox[{#, ",", #2, ",", + RowBox[{"{", "}"}]}], "]"}]& )]}, + { + TemplateBox[{ + GraphicsBox[{ + GraphicsComplexBox[CompressedData[" +1:eJydfQV0lccTL1bcCsXdSqG4Fh3cXUsp7lDcrUBwKBbcIQQNGkKQBAg3JBAC +JCQhQAJxl3uDFucl9+5v9+1c7r/nvRzO+Zi7++3uyM7OzM7uV2Hk1D5jsmTK +lMkrb6ZMGU/+Z1+5c/o/Z9Jhg4RDXSen//Nl5QESNheHBks4xPKDhL9+y/gL +l/AW8/tREq6UAdrHSPiS+fU4CXc0d5go4Wfm9pMlPMk8wFQJW/7SGKzw/P7T +IGHgq5cHSBj4Aga+gIEvYOALGPgCBr6AgS9g4AsY+Op8S2Ow4uP38VRPHV8D +w9fA8DUwfA0MXwPD18DwNTB8DQxfA8PXwPA1MHyt5fT7fFR48ifwBQx8AQNf +wMAXMPAFDHwBA1/AwBcw8AUMfPV5l8ZgNQ+/L6cGK7z0cvXU+RvA+BvA+BvA ++BvA+BvA+BvA+BvA+BvA+BvA+GutZ74/Dw1WfON4AeZP4AsY+AIGvoCBL2Dg +Cxj4Aga+gIGvrjfTGKz06Pf1jMFKLjnfOF6A+RP4Aga+gIEvYOALGPgCBr6A +ga++LqSRrXXi+3rUYDXvuFxyvnG8APMn8AUMfAEDX8DAFzDwBQx89XUvjWyt +g8CX602uV/i843LJ+cbxAsyfwBcw8AUMfAEDX8DAV1/X08jWOg98+brA9SbX +K3zecbnkfON4AeZP4AsY+AIGvoCBr263pJEtOwb48nWPrwtcb3K9wucdl0vO +N44XYP4EvoCBL2Dgq9tlaWTLTgO+fF3n6x5fF7je5HqFzzsul5xvHC/A/Al8 +AQNf3e5MI1t2KPDldgtf1/m6x9cFrje5XuHzjssl5xvHCzB/Al/drk4jW3Y2 +8OV2Gbdb+LrO1z2+LnC9yfUKn3dcLjnfOF6A+RP42vIjgO/37U5ul3G7ha/r +fN3j6wLXm1yv8HnH5ZLzjeOVZvW0jNdBPoE5YMtwjazc+j3Uw/uAbT15O/w9 +Pg4+bn1c9vJp4YfJ5u/8qfdjb/N33j/vJ5P2l2b1+/f7RTtujI7ejC7+ErY0 +GyThTub/PJPwX+YGX7DySCt+oV/+RP+A0T9g9A8Y/QNG/3p5pIQt8h/N6sdK +2DIf4iW82dxhkk068XHzJ8YPGOMHjPHrcKSEMV7AFc3vp9jkE6cbHwd/YjyA +MR4djpQw+rclF5xPHG/eL3+ifx2OlDD6tyWHXC44nTmevF/0Bxj8B4z+bck9 +l0PwDzDkDTDkDTD6A4z+AEPv2JpnXO65XHG+cjpzOuj4Rsr+bc0rLrffp0Os +hIE/YOAPGP3r7RttzmNOZ94vf+r0j2X0j2X0j2X0t9YbnK8cT94vf6J/wOgf +MPq3pae43HK54nTmePNx8CfGAxjj0WFvKz3B5y2fR1zOudxxOeB84XTi4wTM +nxi/rXnG5Z7LIZcLzidOJ96vZf46W62P+u+wC5yYfoe94m0F431d3+PPX5br +ejlTJl2vOjO9mSmTrvecJb1QruslZ6Z3EFeKtmEfOEv66u3Fyvr6+86S/qgP ++ut6OVbWRznqgz+or7/vLPmH+uAf6uvvOzO5536LgyzX562yIyEXnM+6/WGw +spv0332t7BKUW54BVnYCyi31g63WcZTrcT83tg4aGD8NjF8GNl+82XzxttIj +ul/nZmW3gl5c7v/3vDDIcp2OKi6Pcr2eL7NzfJnd4cvWRV8mz/4sruLN4g7e +TD79mZ/uzeTRn/m13pI++viNjM//pRcMslyXLxW319/3l7/r8hDA5CGAzVd/ +CYOuuj/pz/xJf4k/6uv+pb/EHzDw53rtf+s9g5U9q88LX2bfBlvZsfhdXz+C +JX9RDzDoBnw5fvp401g/RuJ6+X/rbQOTWzc2r31t8FHZhdDz4BcfP2CMXx9P +GrPPjbL//1pXEJ8AjPgEYMwvPj7AGB9gjE/vL41srWN8HdLpG2mlB7le4POC +ywn65TCPQ3G7iMdtbK2rGD9fN7me5nqLw9ze5nFebnfzuCjK9bhjNIvLKTuP +x6Fs2QHAj6/zfN2xtQ5hXnG9xO17Ht/m/gaP+3K7n8dJUa7Lo7JredzNll0D +/LndopcbrNYZW+sw17uYt1xv8XnG+czj4dwf4nFi7ofwuCq383kc0pYdB/pw +O00vN7C4j6+VXcL1NKcXL+d6keshPg+4XPB4OvfXeFyd+208Ds39Ih635XEv +bvfyeDW3a6HXbdkhfF3m6xhgrqeh57h/yOPz3F/k8XruP/L4PfcneTyf+5c8 +zs39PL5/gd8t9IJfZ2L2KfcD0ph9arSy+7C+cHqjHOsNp7+uV0Ot+MHXRb7O +cL3M9RSfl1zOAOv2rJHNUxX3ht+k0089LXSwZ08ef3ayiuPrsLPs7/t8Uu3o +fpwDq2dv08/D7zo+Jqv9Clv1AOv0cWJ2CcZhJ8r30hTzf9Q+A97T9/kd2D64 +A9sndmD7qA5sn9GB6Q1nNl61L2HB05Wtawbi6xbX0zq/DCwu6MviZL5Wel2f +Z77MzvBn4wlg/Qew/tW+Obcb+LwDjPmj278OVvkU3P7k+QrcPvvffLP2w/n+ +P7d/bPGd0xntcT+O769ze4XvT9uKq0Afcr+X+4Hcb+J+iB5XcJLzR9dLRjlf +LP0cI8wn/M71EJ+HqIf3IPd4D79b+GWUT8xXXb7s5Dgwf0E/fT57yKelfR8J +m5uv/EjClmn3WMIWuQux2Q5/8nb5k/fDn7zfDub3YP9GCvrCXoyW5YDxRD2L +nCRIGPUB83ou5oEkSRj1AfN6/In6gDFuPk4+Dt4Pbwcw9CNg/jv0JtYV9A8Y +T9SzgLclbJGbBxK2tBsoYfPwvz2RsEU+n0uYt8ufaN9Wv7we+rc1Ll4P47M1 +bl6P4wE6AuZ0tPAP8bcoIfex8olywBY9HC+fKAdsaTdRPlEOGP3wdnk7/D3A +/MnxhF6C3gCe0EuQV11uouR7KNf1WJysj/GiPspRH/KO+sAH9VGO+pgPOl8S +ZX3MB5QDb14Ovuv2h4ccH+QQ/QPG+KDvMB6UYzwoB51Rrut5H0k/yDH6A4z2 +AaN96FO0j3K0j3LQHzDwwzxA+4B1uQiU7UE/A3/AGK8+v0wSxvvQ55AvXQ6d +pFzpfIuW9fAe6gMv1AdeoAPe53TA+8AD73M+oz3wCfW5XOh0irOiE/oD39Af +5yvaQ3+oj/5QH/ignMsJ6K6Pz0nOA/SvrxtKDjAvUK7PCyPTvyY5XpRjvCjX +5c7I9LVJ0ku3m5QcQm5QzuUM7el2VqCEUR8w5InbdRa8jNKewhN6ETDsKr3c +TtppnM+c7qCXTkdfCYNegC3vBUgY9AJseQZLGPQCrPvvrpKf4JOlfYOV/uJy +x/Udxo32wAe0x/ny/8snff6o+c/zubmdZWudAszzo7ldZmvdAszzjbkdZ2sd +A8zzd7ndx9c1ne5OLO6UIOUM9Wyte4B1f8nVav7ydZHPN76O2Vo3+DoAvgLW +/ThfFh8IYHGzYJa3EsrieqEsThcu5zWH9fMI8Syf3yhh9Kfv0xqt4v163k60 +5Avq8/xxtIv5Cr6hXT1eG8f0s9Eqn1uPf/owO0jREfpFnyfBshz6RZdjRVfu +l4Gu+r5EmFW5Trcwpt+jZLk+z01WfNHnscmKL/o8NbE4g5HNQxPbTzeyeWbL +DzfIdUFf75wkP1Cur3dOkh8ox3xBOfiBcn29c7KKC3E9qZ9DwvgirMotsJss +1/3uKFkOPYpyPc7kJvUkyvVzJG5SD6JcjxO5ST2Hcoxbp7O9FZ319Qvro7ek +J+aBLl/eEh/d/k6WsM4XX9k/56PujyKf3l/yC/MM7QPW8QuQ7XM5AIxxo75O +h0CmfwNlf5jH6E+XK3srudLXX39ZH3hyvACDf9AL6B8w+tfl1t5KbgHjfegJ +rBOA0Z4u5/ZWcq7DbkwPuVrJPWD0p+shNyZHrlbzAjD4hfrgF5c7wLr/Hi37 +1/WcG9ODrlbzDjD4oce3uF50Y3rT1Wqe8nEB1tftBNmermddreY1lxM+Th02 +WtmdfB5xOedyx+XIllzpcUWjFR84HfV4ohon38+xPLFftFfQ4TzTc/aSfoB1 +PWTP9Jw90we83JnpGXtml9vL+f39cmepRwBjngPW42LOct7wecHllMsZYD2u +b8/iXq7MHuR+q5NV3F63exwY3tZ01/Wnm6SnLT8J9Ec56I33dT/H2i8C/VEO ++cX7oD/6hTzz9VhfB0xWdvp/yRXHQ18fXW36qd+nW6Ash7zweBXa1/0rH7YP +o/wIDnO553LO6aqvY7b9auDD1zWUQ28AH4wf9TF+wPDnQBf0Bz7r80Tl1XI9 +hvfRH8rRH2D0h3GjfVtxAH09U34HYP1cp7LzAet5FyFWfp2lGyOLs+C89XPZ +HvSwnoeh/ALAeB96Rs+HimT+YZR8H+V6flE085ejWf5QNPOjYmV7KNfzbeKY +/o9j+TRxzD+Nl+3pcXAP0uPgBhb39mD+pbXfz/NS9P2qFBZPMFmNh8fheRxL +z/eyjgPx9Rr19Xisytvlcg7Y0l2QFV58H4PHOXh+E34HPbhfx+mh7ys42NxH +AMzljseduBzxuBKXCx434nzjcSE9bmJi9DSx8bnKeYl1A7C+7piYX6PyifR1 +JVCW63rHWg9wOdPzL6z5oOdj2MZLH4+JrSN4T+VX6evEeRm3BWxpZy97qjwe +Tkd9HeF5LOdl/zpd1P4+6uv2ixo34syAOV6WftKYXanioBi/7s+rOCrk3FZc +FLC+/+fA/Agn5u+rOCnq24p7Atb1joPNOCdgPk+5HtXzyzxs6lHAPO7J5wnX +e3wfA/V5XJTPE8A8LsrnEfCyxSdbeOt0N9ikC+cL8OR2mq7/FV8s7R0S9DjJ +/B74C5j3PG/OTfIR8wewPk/5vAyU81enk73VPj3sBL6OYX7o6xA/j2XP9Iad +rAc6Ag+MF7/r+sBgZeeBrpafH0u6A8Z7+r6CNV8tfIsT9uYtto9gbUdY+JYg +6+vzyY3x1YPNL3VfG8YLSuj2ua9c1/E75gOvp8cxvKVc8/1w1Ad+6F/3Bw3M +brjN8qyVX6z7ZZkyWejxSI4b/eF33W8LsGnHoD9bfjTaBVxZ2DdoF/zX9UWw +hLldpPPPlp8eIGE9Tz1YzgeUg776+7b9fN0fUPdFuQq7R5f/KHb+JlbKM+wg +wJALtM/vZ9LtcV/Znq6X1X49t/v5+Qv9vEACs7sSrPZhMB7dzo1lefyxzL9R +9y3p8TV17g9yo9tJviw/IUCOF/KJcQLmfglgjEdfd01sHUxj/TlLOYHc6e8H +svUhwCq+x89t6Hn0CbK+fk5EleN90JufV4Ae0PeZkiWszxNlVwJf3e50Y/tA +rszed2awQfYPvcnzJXhcg8cJuB/P/WruF3O/l/ut3O/kfiD3g/j5BI4v6IZ1 +WM8nPS/fAz34fjHKIc98v1h/P4DZ2cES1vdLjSwukCbpoeOhzhvodpA6hwH8 +9TxMI6Oj0coO1+8D8Gb5Fd6Sf3r8zNvme8jT1vO+kccazvRcpIRRrp+7ipQw +ynX7NVLCKAddbNHV1rj0c21hVnTX13XrcQPW4/FxVnyDHEJf2sITMNrT7f40 +5oeofWFbdNH3/cOYnZRmFU/4vt3hwOwCB7Zuq/1dwPq6y+9D4PYt399V8WHA ++rrpxtYZNys9CH0PPDBeLt8o1/fVvOV4UA6Y73uhPvDHuqifJ/Jncuov29Pz +hSNYXtwLFkcKZ3hFMHsswsou1/epcP72mWwPMN4HHoD1+GuUlCPwAzD4ARj8 +AAw66XhY0xXwf9HRFt10vgXZpOP/pluEpIstutmiE2Ad7yiWJxPF/NQolhfz +/05ntKvbyf/Vj7XfChjlmJ946r/bs3XUQ/ol+vrI/RQVB0e/GB9gPS/W2aZd +B1j33+1knMnyvMr2ldwkHvhdx0vdQ4JySzvwbzyZ/jJY+Q227CjA+v6fOgeJ +clt+J/dLMa/w5PMC72GdAmzLz+B+iD5v1X0dGC/q6/z1l+PA79wPRT0+b1Gu +n6MKsOknANbXSeiNZLpsHu9DRqdgqX+4voSe0H9Xfi5g6A/U09eXYBvtRMhy +jM8yXnU/h35OyV/aV3oeUIikJ4d1vaXur+B2qO5PhrF7DpQdA1i/3zaM+Zdh +7Bx8GMsDDGP3qIYxezCW2VHWfjWvB/mAXtDPKcUy+1vlk3O6cP2JdjGf9fzH +KKvz///ld/NytM/zXrnfyP1K4KGfq8C+Q7yELfXUOROev8LjYjxuhn4wH2zF +pbhegPzxuI5e3/p+Xd2uj7UZlwBf+bk2vM/9bD1/Npn5P4kSttTj90mo+4B5 +HIfHRXhc4r/8eF6un7c32vTjLPQzWuWNAA89LqPiAoD1fT2j7B/llvaUf6iv +pw5y38dSb69sB7CeV2ovYQvowuo7yfXZ8vsxlh9xjNkh6jyDfu7bwWY7KOfn +XW3hwccNOuhP23EVvk+px2k8GD0NzF9W66+u9+NZvDbexv4Mjy8HMX8oUI5H +h9X5bh63wPyG3NuKa/O4N78v8/vnmdT5I36e+vvnkZS9ys9LQ64t7Z8R6z3f +XzzP5MLZKg4EGHIHedD3VexYu9AXqlzni5PkP+RRt0NxX8F1ub9h+d2TzRMf +Ju8+8n3LunaH3X/tb2UXoD3YS2gPMNqzoO3P6PpA0l2XvxRpX/FzWDqfAmV9 +2Dvwq/gT/hXiB7CbED/Q4ybhEtbtCnX/q36fUoCEgTfkF3Kp38Oi1n20p+8r +B8p1SrcnYpmdF8vOh8XJ+pj3sE94fqqeZ6hg6D2s/3oeqDonoNs7av3T80ST +rdYFfX9f6TX9/gEXOR90/vtandsADDyxTvN8Kg6D/5i/HAZ/9PPCyi7j+U/8 +3DHPf+LnQqEH9Dxwe5bHrc5V6+tDNFsP4pgeS5Aw98vxPvQk9Iu+Dqp5oOeJ +qfwzzCsdf3UuRb9XxCTlFfqQnxuBvuR6UC/HvWtYX2bIfmzNS8wrlOt8C2T+ +gvU80/2GZ5KPkDedTi+kHOl5PseYX3tSrie6f67wh97U1wF1LwGeWK8A83O4 ++v0q2B+Ok+sB9K6+/6v8bIv84B7i+2zfNtDKb0V9y3gCpNyALvyJ+cDz83U/ +Tdnt/F4A6Fd+rp+fn9P12AtpL+nrwW2rc1/QO3q8zke+p8/vUKtzYbqdE8nm +X4RV3B7zGeU8Dq/npUSw/dVIdt4+gvkF4XI+chjrE9rRz2dESH2o7w8rfaiv +XyYrvPV5GCH5qd+/Fsf8+zi2Diu66OtVJLNTI6z2ZzF/MI91/fqClUey+aT0 +ra4fXKX86fo4yep9rm8tdFLnmHT7LVDKJ+wazFdu93K7lp+DB30BIz5kGY/K +R8E8tIxb5eGgPcBoDzDaQxwT/fB4k243Yv0PY35mJIs/qHtq9HMwsYwOkOdY +KzsAsJ5vq/ILsb5AT+v+pvIDoZ8Bg38WuePrkcpD4HkNmDco1/0elTeg01fJ +MfBGOWDgCX5yfQl5svweL/OdAEO+9Pg3/MlEWV/PN/WVMNZbnd/KvtXzLAOl +PtH3MX2lPKM9Xd+q+0wxv8BPSz8u7J4nZ2lnVhbrl253BrBzD1FsnY+WMPrX +6Rwr6Qd/C3Yz6KXLwy1JT9SH3Yxy/f4SxR/oB7wP+PKvrYwNi6nvo8JOetX7 +StmVyRfol7o5T5f+Q93b3Cfj595PJbyIGg691lmdQ+gXfXTv7fIREsZf98Zr +Ww+P9ZBy8c0w+tTwfuq7nS8yXjuvvmtZrvy/e/J0vijX0TU/ne0YucCFzlaJ +WX7gQYhsx5js0aRSF5U3AjxiP518GdBdfff0feiTZTM73KaStV9Uzr5M3R8O +fUS9Phef+US9/z6yfkruzeo7mtX/3GR4+8t9WZ41ZujMChPU9zY3p5f+uUl9 +d7J+OlXyZlH5Y7mfHJnWIrfKH6u07VGo8wB1H0OWX1cXffZQ5YcVvJcweZCT ++m5UTef9puPe6r7mDWE7LjX9WdE56ecMRql9njnTS+WLqKn2WQK6jyz4exO1 +j1H8es1Js7upuL+Z/DMipN3R1cyvCBq3JTWdxWFW+WjpjbncnaPuh1gy0X3W +1uIxtDt9lF0bP1Jx+7tzbhwsqb7Pl+hfMfTD39bf35s9PqMjdQ9r9dR8N+rs +jqLZLTIoZ52vZibfnRiK3NfIf0LWM3J975fOlS5eKm4FfNORS+8hhtwOZkiA +sssfrHSsVmSc+p7ey4bF7I/1U/cqv/8lg/Eqbp6p9OF/wnZY558V7/r3hZhi +8dTSTK+zVvf1mcXh13ii9X/Ffzr5yOp+vjoZ02x0PP0xull4zw3qe3dXM6bb +lf/re3bm91VcF/2b2Tc+kcoNHHzhZspZq/v9fjlyecyZjYn0UxmfWHJU35f7 +Ide6cqOMKk7tOO5i0sxLqex9ZyrX0vNspqvJdMJMr3PS356X43W7L6VuSXht +BvpD70n4wYSs+xv5q3ys4D877ekzXX0P7kXPDTunFFLfg4tvE7Bt3UX1Pbj3 +6Vqgb3V1D/cisx5Q34P7tqFXh6m+Kh9rhXk86t7iXMu2t13/V7JVPpZlPin8 +zOTJpeKg/3RJytbgRxXHtMwvFZess+PzSJ/aRjJPgxsqz6fN8Nh0CVf5Uuj3 +n4+N25S4rvo3qwtDKi3NeuLcuTrO8tl0x8TYfjcf057Z40yvCnpQr+f1Rh5J +DaElUwMPful0i56fbHk6aLSPfOZY0be0qV4q3Z9tZ+ra+hHtEO/9JtpZMW5W +2vsRqZSwcoD7ibrBZCfa6SPaHb6n0aoGi1PpdoPJeSd8DKEAt4+XGhWIoSEZ +aHwII5/CT2OyrYmjqt0+DK41KB3PT9/+GRefQNMfua4+tTKc5lc+5/xXi2Rq +GWp3dtLBcIpZ7tvw342p9LJXtc2Nz4fTO6fki9nCTJQ48Mm4XO7htHHx42tz +9qaSi/e48Js1o+hRwKitR/aZaOS/p6vcjY2koaJfjCPzurBuS13iaOqY7dcG +T4qhu42qbnF3TKebY5ZO1Zem+wNiXHfFOFEP722vPqf27QKJlDV7zf0HvePo +y/0i/tFO6fNnWNMSc/zjaJrAA3ihHt5bvHBS9kwvkih5QMVZoVsTqE3jipO2 +XkilssZNHbqUS5R4gw6oh/dM+fcXn1QjWT5nNXBr1CBdHqIKzHAskD6/fATf +sgs+xgs+LRd8A1/ApzRBV9AZdARdlwm6+Ag6AU/gjXEDD4wD4wKf3gq+gS/g +05Td78st+GCkYhPmZBo6/hAVEU/83mVpubjJweq5ocbqUVffXqN3BRY5VBt0 +mHYfyVs8urU3NXlfqtYbr4O06ffG7ifePaRd+bpn39RxHy26vKLgYZ9Acqh1 +NfpOjl2U45e5S2fkeEr5j7rt7uZhT6minbWi3YvP6v78YHAsHb29vVi1Djco +85RdR8Mex5NXh1Nnb91wpwaZ8vz5onYSfdy6qNriI9fo6A++qXHtk6je2aHf +jqx2o05iHHvFuCJv7+31joKozhhj/ruNvGl8wKVyL5tGkzH0050BBb3p6HJT +z2y9o2l906CYxj3uUOPqPy3NsymFRiYGdhqd4E2OAo/NAq9CdfomB3o+pe3N +hrRb3tKPjk86X3tglqd0+OdZJZpVfERVLle/V3V8Cn2q5OfSpp+/xBt0wDgw +rgkd871o2jiFdnbbd3FMp8eSLqAT+kG/u0U/50S/fyTH1g47HUFVIg4v/Fg4 +hP54eS/7jBrp/vL78sP/HfKMUgrUNmR5F0VdqjU41PZYGFUU9f4U7yULOowT +dNkg6OAo6NJBvJcq2jmV0n5m1JR4qpWOZdDXaOre5s2Ok88TaWdQ8YhmmaPJ +QfDNRfDR9232zxWmq6dB8BF8RTto99WOuIiVj9Xz4N/9sl2rn0ILGxrCpx2O +p4LbLHxvLOSgjuA75MBF4A06YFwYZzUH/95fh6XTe/Hqm8+KJtEowWfw/aPg +G/gIvoBPGAfGhXbQ7i+NpnfOvkI9C4bZH/h51lo6JOyI5rs+dGmy0Z7Op3k1 +br3ZiQ61d339JeiutLs+Z5i5I62/K1PcbJCtIfNy+ZO6R6vZi4GTi01NoFmH +d8wffG4Hncp4vaDal3/VrMjIHruS6P6fBX4tcGaP9Hsd32yfMO3Uair2ePtD +N+8UWnuvfMzrrAeo3ZDqLlPPpNDdImeG2m27RtFOG7p9nGAku1nTtob8+Q+t +DKxzf2JBE41ZY6jz0OsqjVwx7nRYDXWef9qAxWddR/qxeIU/HTbbM7eo6Zy9 +oy43Uee4fxrvV3JzB3XO+if/dk/T3ii7d22Q05qu5eKo9docXc808aLSn+vs +q5TOxzUFmm+avumuXH8t6/ZNKr7y+Kqd1U1Ut6DTXO8DXnK9z51hjjW7Q7mG +9wnL6mn9fSL8Dv9uY4YZ8scDWlpq7Mm5b6Np7OSydz9HPKBSBr+2ZYepfKVy +o0+k1JmtzoHtdxxid61YAq2YvPZdkcN+zB+4Q9VPDGo54LA6n/+qS/3KK7uY +qOD6Q10c2j4kw98WPnO6AQadQPd3pjUbqvrFUsHyxpjzI4LodJmWZ7ZdSKKk +ASeM428FSjmA3we6zjLb5+oehWaCL0dGv3/gsTqBvt6tf6Zgkac0asjzDlnn +qfM0aK+38Bt3meXtitV5+cIaX32ln7ZE0BV09utVpmaecel2wlCvo4l11Xcc +ngyb07Ns0RAaYnZMVD6R5WGkJbvee8+fqb6TDr9m15RCyz3uqe++DBftPhT9 +4HfUQzz43667Xl3+M4omCD4vEXyPmVSrcveTCdL/R/2YdvV6VI5W8QeLOxhN +S8Q8xLyE3EKOwSfwjftRaP9Ri/snN0/4v/Is4jMc4FgKEPMY8xr87JVhdi9P +oJVC7iCHmCeYN+Ar+Hz/377pHv5T6X/MEn4bzz+KFnQAf8ame/t9qiZQ6MOM +BtS5lUyP5yX+XDfJKp8o0/hJOSnd/soxIH+Gqa7y7oTeKSr0EOSrVUYYIm8S +3RZ6Ss8r8CXHDHIfSaJ5U4d2b/7rPVmeLOQe88D93uF0DavyhfY4VLr6eXUQ +yz8PknJ+x+Ioy/Jv4yzj1vPd4yXed4SehN7E+M1kyJlCzQf2Xl/h3lU69SFs +eEQBpZegpzDvoQcgz4EZw/6i5JLLHZcTwLdbV2k8ePhJqtnSefs/G0208p/K +T9u1tT6fXk3ooTMjXMK3xat7+C16VOmtoosH9F1dU527fWqWc3UPJeYhyi16 +Tskt6AW+W+adyhea7rJyTO09Jvoo/DGqf6LhxkkmenNoecqnDka5bmIdxbqJ +dRR4GgTen3+YOLdkcZWXs0qsW1jH0A/6RT/oF/Rv/yFDER+hWxeXl27bwfp7 +DmkXMwIhp2j2rX4Dmk9Q3wmo7ldlc8N/1HnusOfvfGqdU+e1Ea8evW5jzKty +BhlHkHEnIWeQa9AVfET/iMsEmuNA6nsLiIvAr0V/Z26mHGheI0jGDVCO/u4u +HD7Ps7U6f31ayAXiIoizVD209nxkovquAeIciHuA37+b4x5PyG3W1uLZBvB8 +H6OUK8Sl+HcaHmSow4nqXIeH4AN+1895OEg+gI4lsmUInPqeA+j0fT4ZyLnW +lCOZ3WNpqOCLvq/jTSXFug86ohx0AF3Qfrjg+3hzvMvL6juFsBtAJ9DNR/AB +fPm9ZeEX3d/tpVl1zza+Wu44s3fOSX1jDtdlM1L+scW2dC+f7p+XXvlXto1G +uttjjsuDcDf5dMwVlXm34x26YlwwPV+m65R7+8JWZa/70w8Z5vTIGxS0aUcW +T5/HNLbWsnQRuEm9r9k1z9sslL6cKDFwxG/u5C7eOybaySreQzulA+q1fNNP +PeeIdvxEuxN/epXDvYx6ol3081vFQ0WL+yTRgW0Pbh9wTKD94tlE/J6Fno6Z +nGSkKSU3BXY6nCKf+N3/1AfDh/JR1DTC/fi4IrOoyFdDclT7dLlxj6uWu4gD +LfJoPOVWVwON+fPnLkN7ONOajh6xwXa+lNLeeGz0TGea0Xr9g8LDAqjQrt5L +Ig850zfXj1OdvgXT5c7ec0qFONOuGXVaL3UMpX8K96vWpfJFGi7amS/abXt7 +/f6+PTzls5/jnNr25x9Q7kJ94r6tv03GMz4pKyY/IMc5S44eDL1NL0W/68Q4 +UA/voR7e+/D6qJfHjAA62b9qG5OHrxwnxo3fUa9iw8frOlVLl6/kNmO/7QiQ +eAAv/I56GwVeuwWeLVedr/P4iYmGncq7IO+NUGq4bcSQc2Hp60DWBb80nRVK +fwg6g+6egs4/CbqXr5xnl8eZZHq6Ja5HrbVRFHqv9OPX81LomcONyPkjo2h3 +xZ/beX5KpmiXLhv6l4+lmiFT783MlUIlrrj8XbZULK3tnxZ071iifKIdtIt2 +0C7aQbtoB+0CjxYCL+ABvC6b9Z71d446mPcT7Alxecy77Du7f02qE0PVVtfY +snbgGrG/EkOGzj0LX/tnP9Xu6VMvaUoUHfbruPHfkhcIcXW8P+qr8+ed3eKo +VVK+9pdDtlD3W4aZZfrEUV33Rbdajd9KG8b2PRJ2JYY6Nmm1b95PF+T+2OcC +JfMevrWZ8h9zjupcKYHK5+w76KXjdBpy5KeKx7LEU5+5S34bUeACnfq4K7h7 +t0SaF3n05055LpCvb6FmYduTKdPi8tsTc1ygIWmDH2QJTyUff5fCq0/covnb +jtztZogl75yfvyTOMVD2on23/uiTQNuKbJpQ9bInzYwferB/jniK8hvWpNiN +e/R1R0SHeYPT7b8ji2PK2hvoYdtfP+0IS6UeRfYdvfvwHi3PCNfGR9PSul57 +NvR7QFlcWt+f/GMyNTKUKR4adp9+yHui7oJeiVS0bptb/V4+ojeDupdxfW6i +R+Mazn46w48K/5j2tHB6e22vBrtd/PiIXF6mTp3hHUPTArd8ehTxiB5+Wbq0 +/chkyvfkypSxC9P9n81P2lefbqImWfdk9x8bSJVKvvlwfbSJJi5eUNxrcCAF +vZ+bMu1FKsXWG3S1zcZg6lC0cZadBeJpe+nK5UvNDKZDF3vsfn4qgT4HZRhw +Tymyu9uzwwdM9OrR6KzVDzwhs9lQ2ETmcHPXJ5Qze+P8h5+n0qERk/f8WjGU +HASfwXfIBeQEcgE56Sz4+o/gczchByOFXBQRctBNyMVCQcdlgq6gA+gyQPAd +cvA1h0UuICf3BV8XCD5HCj7OEnxNrv3hYadrnjRt0/smne+m813QBXSCHEGu +Pgu+Qw6KCD6Crw0Fn8F30BV0ziLkEHKZX/ARfIVcQk4hV5AzyAXkBHIDOYoR +fAbfmwq5cBJy8peQC8jJQcFH8PW14Dvk4KLg+yUhB9i/nlf74L+v5psoq9j3 +wzqNfT7AcVezOa96ZP1dsqVlfhvXboKJhnzKcaDCbgf5hB6CXnIo7doz0W6f +zE9waHDox46VkujNu7n9PIwzaPToAZmHt02hw2Y+Lqc11SKirzj4UMN9fVKu +PblMN+3PX1zwUd1TmP/v+R9n7XhEPqVrL3rvcIUeRg0sF/FI3fv36Y/3rU+N +DybjpMgcJx2u0m+LnsTYHVP359eevOJX/+6hVGvz3VKljdekHXdLxAWOFBl4 +qspCdZ++x4H6pWq986CYeC+au8aLbi38s3rvD7dkPsww90HTc/ZIt4u8shfd +3tCbTvT4+9qeGUm0KP/upmF37km/D3Ye8jrKi/3cMXX/etTWdIsC81aicsdU +HGqGiEu1nPm5xYHlt1l+W5qV3/NE+DnzBV/B50NlM/ecO8OB0hwXj92Ubo8u +Fn4CvzdqzjH/+RuGRNHH1FWLmjuk0ASfFknFBkUR5erc6GAPR3rapc+Cl9OV +H8HvkXpz4+WlcTtiyC4ga/gp3xRabn7G0IdfdrQM9DxKU/YXvW84ou6RmvGk +0KvWfiouiDhhhYKWdQLrxtjSC9IOJafQx1aedl4N4ilh6a3eDdOO0bK8NVtU +CFH3Tr001a9VOqe6BwhxxfmnZzvk/CGVDr7Ncaf3zvR1ZWDxQ3Xij9Mpz80l +gwure6em5uw/8V2rZLrfvHGdeUUT6Phrxzy1VyRTjlX560TtT6JexevPn2VI +pslFypR6dukEDdlXrUrBXuq8ibF8BgVTKUuZi8F/L7lEx2v1mOIwy0jdXrpv +P37ek1Yt+Pr2n2VGevK829tvMdepVanbz4teMNHbB13zLNx5n0zx0ac+bzbS +7JpLrkbPuEMFCw5cUjHERBW8AsYtuBIg6GeknhMH5ylT+glNmLo3b1E3I5Vz +zVY/ckYo/WQssP7pU5Uv2Ov6IIfxr7wlvNx/eM58q/wlPMSw7Was/WNptwfe +/PFewuRnsvy3DPE6GCLhwsc+19x5Wt3znnhxT9O/rir45LiyA899U+f2V3lk +BDKiZfnQ2abNJyqqc02fvOyH1fgQK8szvOzD7ePke2jn33EDchc9EE2lLiTU +GlZH3bd/d/OWbHvHJ8hxo93ag7d5lFn3jLLmytwjaWH6PNv/raRf7DOaXHfp +jOL5kmW/8j7BMs5PskXEksvYdp+7z1D37y8+MLLltvVJ1IfRsda3wE3rWt2h +pZP9/9jslEJlR2wpsT7xLm0emqtIv/qpVnT+nPfBlN01H1FKv16u+cunSrqj +vNSboTk6vnpMppW9Fj3PnmpF90xl6n+K8gqh/DvO/VQ/TvEB5diPO3lo8Z81 +r6VY8QX7abdumbJM+GKkU4JPKM/eM2VhyXeR1Lrtbw/m1jJJPqH886TbNzt8 +jqZnFevt/ZKu74Nfeef8+WM0Zb19LGDzTJPkG+q3drw+t3apOPqnUZTHLUpf +Xwz9fy0bG0sTSoxoc/2RSfIN9UOrvfLv3yZ93d75YLVnGZOkO8pLPPncZPXU +JKLym4b6ZzbRpBFLDfuGGSjiVEjdBqWd6eqKso1u971NtY8eqHBk5ikqvSTQ +ubWPLxXctjg6v/0Fmr03atGyLg/onWvp4j3dT9KoM7uW1lsRQN0z53mW8ucF +2nf6xatTpQIpbnTqjoEvTlC7IhXCzl5T9zWUvdwraXmZJ/T668zbvq0u0PrG +l+b1Xf+Ems8sdrjP3eN0uo5n78OZlN/vd/+xXVWXULpx/8SbEbUvUKHK77dN +eRlKPTfuGxo19hjlNds16n6H9xvOtbhYOYLuu9x3XFfpgoTLZGsz+fdtjvTv +6cwTXKqp+x+8n632O/9rBM27Xq3fiD23JFxg5emBLXzdyZz+dF7dD+F9pv29 +bQFRdOPbAOdRlTzohfuqlxMfRlGz+X88Ttx5U46j4KrZ2c898qK8Tha69hd0 +riLoelnQefWK6bOCqwWS6V3pYn1P+9CqfZ9SsowMpANDWv1VPZ86jxPnfjV1 +65CH9HGrhQ9VBV/eCz6AL3vbXPN4nukpxQaF5ZpaRZ2/eWFepwLpYueZfkMr +zKUvC/ud9GwYJPkGPoJv4CPiFflmhbQ6ni9IjhPjxjgxbvQHvjdfUtUpdsMW +6ldyhvFinqf0TvC9jJCD+oLv64QcIF7z3rwP8pQSBB4HBF75Wk0sXPXfZJrh +OGtS8B8h9PR8P68s+VKow6pXpauPUvfnQ46ydctTtdSTNdT0x2MuUxs8p9U7 +//09e9099GZE1Zy+hZ9LuYKcQa4gZwc2vz01bncyze6WNvzAiXAaOjV3/11j +U2iOgEdOGOu0MTSVfow5tGK3azjdDP91/jVXo4QxHshpwezVcx/7Mo3y9Pup +26cKEeQfnfXR1GqHJPyQyW0pIbeAIYfvhRw/jTjSu8Oai7RmYHLjmKoRtPFj +odLba12jtQLmcl1UyDXgUXETbxUOSaXdJba3TKkSRaUaFw3ZsttI71KXX+qU +Q8l9jJgHb2p0fTi4qAvtH+Mz39cuiv7qufyPcQ+v0JLpY+3y71fz4o6YJ5gX +mCeQpyLmfMBoatX0W8MDvp401byeRNOG7QUXdpocTxfCHA5u+Za+Ti2dvjru +SSrNdHySu2W6vfRgjfHxguVGajr6aNsBTdV3NR4daFh+Q6NY8vf8c9FvaS6U +53rQ4V/jY2iy/8IypX0u00vzehBLjQ2/NU3elkheLe54/TQpjnYnmEZfck+k +63Xt1n7tEUcPDoaNHhmUSn1PXrwZdz2OnKttWVV9hlE81fcAbuz0W/jBPZ6c +wkeVWT3elUp4tcz5x7D0dfr3xd3XfXOlpfN3d6o/QeEBvGZ031zpxoNUalW+ +69Zz+RJpc4O/8zcbnW5nDLpzaNgZ9X2AU5snPBnTNolG5rk0cNgYV3I9vrfJ +fi81buCBcQOPladuz5/vnko344f5FR+fTGeLxD3w+t1IAUPnvcqfnETTxbzJ +L+ZROzFvMI9mCbm2JfeQa1tyDzmCXP0r5AhyNUvwsaTgK/gIvvYWdPcTfLgg +6A4+gG6gI+gGOgJv0AF4gw6Vne0e7Cx4kzqHHN+co9gGSe+Tc4Y0cqx3iK4P +29h+ZfcbMv8/1CNiUKaid6l/vf51qp9cLuXX26yfdtHmdRcLHBxxR9ZP0vJU +nanghl0TK7b1p7ztKh3bc3cadY89uGjhPj9Z/42Wl6ryUAHreaYqjxQw5j3X +A9uFHsA8xbzFPJ0i5i3miZ+YN5gn08W8KS7k+oiQc8j1WiHn072aBW2cpL5H +ADkdI+RW2nnnetao9X47lXs+x9R+gfo+Aez+ccIPQH7dIZGXaBJ+APyCTu93 +tajwNkXqVZxnyec5ZH7jI0ephuBrBcHn3YKv4DP6vSz4nK/KuKQ8re6y+598 +6Hq9jm+bl71K0cJPvSn81tci7xh+JfxWd+HHQj4izoXPnvH4Br2cuqLegsHW +3z9IMu8fukk/FX4r/NIWwk+NyEgLnqfu6YeehN6E3/NM+EHL7fZvbNlLfc/A +8ky3G8t1XuFf051IyHGIkOtgIccYN+izSch1isAD5RjHO4EX4gqIMySJvG/4 +5/D7EXfAuAoIuoPO8j4YkXeN95H/njzwRuX1L+/QEuEnVBN+A/wE+A2Qn3Ui +b/Vs/XLTq3VS9wr+KPzAmcIvBH2aJhU8d7u3N71ra5mnmLegRxcxb4F/uODL +HRE3ySfiKKVEnjv214C/r4irJAq+Qw6QN476OE/w8ktGoOwRJRcp3vjA1WS6 +tnzAlpH+D6Xf80X4QTwvN1nEaT6KuM0CkWev77+5UiMRx4GfVFr4TTyvt6aI +69QScR68f0jEdbIJv7CO8BP/En5hBeEndm1VeIRnoPo+Avwu+GHoL0zkDcPv +hh+O+MNCcS7hhPDLkI/K84w9hF8GPw3v4xwDz0OGnwa/jeeN57YEWuW5HPjN +8KPR3kKRxwy/Dn5e+IEHgy+l+3Ufix1akvljtFUeOPxk+M0yr3mjJQ+6avaM +Aah77+EHwi9slxFOLnOLes/O9y62SwK9vvIknXPqewg7zf3csLrHu3SCy7Ie +pVRcBnEaeS9Jg6NRKZ7xVnnY0Oc3Go394YspkZwytu+eq3v34XfCD/0g4pKI +U2I+Yd1AXA9xPsTx+PcRsk70b7Q/axJdykjLC3pINWosfLTvirpXuJr5vRTa +OKzGBy97P4XHoBJNHdcHkUOtU71yTU8mp425yt4v/NgKT8CISyFO9UPudhd6 +V0lh+R/JlM28TqvvJ6AefuffU0De+rV7sxLKOJuoq+n6gjafEqUfDr8c6xrW +uR/FuoZ17qiI6yLO206sq/y7P1hnEXdEHBJxRMQVEQdEXBByBrlDnA9xP/Cd +f28BcrBr+PXII+tN5HayZ/bUMim0+5c97o8/8+9WmihXgx4DezZKocstfiv8 +bsAVlp/iSvcrTVxz/2i63d0/Im3YZet75s9GTf37+kP1PYYVYt37VtayzqEf +eR9Y08zdV+QzUTOh51E+9+rFe1PC4mm++WmiM9mflo8sru69vOu3OnHJx0T6 +zanlwMEX1L24ec35hCb6s0zh5ruqqnstgTfoALxBB+CN+vb9Jj3ZdU7dA1LR +3Nw5Kjm9yWvDy2Vy3xH2j+W5l57tfpP9/vDjtCbb8kZFZhvp6+S82xMWXpJ0 +chd09RV0BF0Xvu9xf0FdF7nvUDS8+AGPzBeoVEzzlDvh6t4e7FOU6Wl3KaGU +Op+PfQr9floTjXbdTK/XGulyl7Uzsrc3SvwetFy0akhmI7UoWf/Nb1dM8pyE +nh+USj+M7Dvh7lUT4ZxaJu3vPE02xxGW0UsRd98t4vCIs4M+iKsjzo44uoxL +i7j5GxFHh76/Kc4dzRRxdNRHXBxxcujvBiIv6ZWIk6M+9G7JM0+Hzel5gJxE +XHyGiJMjr+xHca5nmoiT4/2tSXey/hKg9IC8zzkoc4lffjpCjfq+jqp5LZYm +th94PaSZgU7+9imtxBz1/QasA1gXoPcPi3WglND7qI84encRVwf/L4h5h3mG +eQc9DL2MOPsbEXffKuaZvEdAxNnLi7g74uyIu48XeAAvjAt4VRZ0BF2xL4R9 +ItiF/PsLoGOcoBvoqJ8LUvc5LhDzopDHGt+c+Zyo96uEs0Wd1L2VPzztePzs +Ilc5LzFPEUdDXA1xLsS9EHdCHApxJ8ShEPcpy+JCD0VcCHmQmAnIKwQ8cG5k +6OLKRrq2L7j+4L4zqHlGem2Z5ZKOr8KH3p36qwftrrm7Y/d6lylu2IVfGvZW +91DOFHnA8GcsPz+m9v4ZBqWHzItCOfJMAYMvsDuK5O8z1HQ/iRb+XWXkhybq +HjinhHEx3+aoezuR9z645SW/N7nu0NLVHd+02OdLeUSeNux/yFl+j7BRPQ/7 +0MOTT74O2B9NeZK9ujc6d0/meaE+5ifyrt6K835yf/HQnOPLXibT4TuXV7W5 +f5sCfojL3ipK3TuH8SEP/0r04RXnpzyi7hnHAbs+pHbivB/kG3YH7BCs+xuE +HYL5flXkoXpkbK8MUvfY3ajSontCvWCqkfnNNc/EQKrinxHIsv6ewWlht/A8 +1g/CT4Df0Gzlxr/q9UukEad7ZenjpfJ6kef7VOSV8nvn6swOqj65jcq7Rx7+ +xa/OC1+dV9/rnPhtZcWyeeKo4uQRz9bHxch9RdPOOrFTr6p76+Jab9tw43QM +XVg26ESBgnfJNWFh0/Yb1b2fvx9a9rngTfW9AdjZkw8FZm86OYGq5D93/Xgn +dc/hCJEnOczPqcOXusn06vWbpxUWqjxd5O2+Xl/l5u+vrL8vsDd/v7QCxeLp +8cySXz3bpvPBv9/lReviqZ85UeC+tHsWDB2wJXuyP+UaNT9TgXPqHtBku5On +5wWo7433DS3cd8Qy9X0A2A1Y15AHO3dk9rkuNy6p73XWyrl+dnQAbTmYWORz +uv3X/ebn7GHL1PcAgkXeO/+uXA/hR5Uva7RLK55IE84Xum/XQuVZfwuy5F1/ +7Zmz6umd6vsAyNPm90DWj146rXh4kpyfhSPHX3JalkzdQvIOdC2RStk6JeSr +/FbdI5j7ROAl5+Rkaffw707BDgL+yPP9wTfTnsYJl6hfv72eY8um0Js71+Pa +BLhIue4ypEq0T96btD/uZt4PbdS9tZk6ZmSqKr8dfnyS2c9T37lauS6hdcUr +Z8i7z67Og0JNLC8yjRqHOQ34+bO6bx/nRFBev1WdjpvC1X37WcU5DZQX7x1S +atEI63vrkNdaxK70tjqB1vfv49xC4YtD88a2U/fx45wA2kdeP+BLkRWr76+e +St9mdpxZu6eRsvxQ7NeJddQ9ibCjYFcVv7Le/n6TEBmfCRrwkNZ8eUZ+72o5 +Dtpwl550TG6T1+kZuXeNiDcMv6fi7+I95Peb3eGH6r7Uqk3tfZd0UvfEm9OK +F6l73sOyepbKvyec5U9Yn5tFu+gH51Crt/uhi09aNFUX/ch8WnH+c1DDa9Qu +d5zsF+PA+c72Oyu7V2+RIMeBceH8ZpprDrcp85Mon9iHg10APV+3QlCdyWVO +UpTYV0M59LIzLXEp9OAYhYp9M5RDL2fpMM876YG6j36b2f/fRv5iH0KPJ8ZS +K/NAr9F1sW+Acuid3vmOfDnW/LKM+6PcMt4g8jHr7dvU60L/mQfOqvvm84p9 +OfAV44t+Onnji7i71PXt8B9b7wqhC8dH/lzwjSdN3XHsivuiEAqv0X36/A+3 +6ce/y756Xy9Cvj/C/sYvXepEUMkpbRt2z+0p4VqVIwu3L+lNWfPFrH7fMIJ8 +7V64BW2/J2Hvw5OCe168Q0XFvg7awz4e1seMrPW1rdW9653MfIygr4Uz3R8x +8j51FHCUw+QC/fP4UbFuY7y2doigkf/8neOL2yMJ19l1b13VDf6UFNWopMdg +dQ976qCsAeP7RtDkpz0bvTMFSLjz9vVL5yYHUsXPzWNejomg6bNHGNcWCJbw +hNZ5U2sMfUwugk6dBd1CBJ3+EnSrt2BwcNIudW+7xR6KoIFrcm+zj3wi4eNz +306aXPYpdZvSf1tP/3R8pvhNr+sVQhs6Fe84bn8Uja7U/8nwYWHUvr1fzmbv +Y8g9x6rGpRuEU9fw+WsTe8VK+P7VVosyV4wnf3NeWzjFm/MRFNz5YM5H6/5I +pI+xjdPybwunjcXG5K5ROEnC4ENBwWfO13qCr8MF7Cf4mkXw1SD4Cpjz8b3g +WwfBtxjBN8AjBN+KC77VFXwDDL6BjxMF35IF37oJvgGeKvhWSfBtkuAbYPAF +fOor+NJD8MVJ8AVwvOBLT8GnYYIv6wWfoFfeVrrmWiI6inKn5ujgNy6Riv+5 +Lmx+9WjKN2Dcu09ZkmnIyp5zwy9G0V2X00cO30qie+ZnFF0TfASfrzE+g4+2 ++PxB8LGL4PMHxmeMC+PEuDBOjAvjxLgwTvg58HvgF+EemezC74EfZGfOJ7km +9SH8iKYuljw2/L5Q1MPvqIc4B+IeuEdG9/c9aLzwY3AvCsaFe0oA494QwLi3 +AzDu0QAMu2iBsMuwrpZzrPtHx/7LyWNkjTX926v7/V3tvv7r0s1d6mOMb6D5 +3MZl6VfBz3oj7sGBHQ28Y4XfhXbQLtpBu5UvHcjqmuMxbfs8otfX+p60sEQJ +w+t7QTTnxIrE1+Vvy3tg9Paj6LKw02FHdRN2FeKP88W9Ht86WOwq9Ldzbdb6 +AT7W99w273gm4OfKN6RfBj8tn/DDYJcFiXto4H/Bzj8v7H7EV/qLe1xg9/P7 +/6fk6vt1R1dvqiLijtBbsPNui/XvqDn/01/qIdjnRfqvmOeW9JC6CD/tsvDb +9Ht+1Hfp2gg/Du2g3R9FO2i3hLhXB+/DL1go/ATY361Fe0nCT8D7X812ufpe +AOzvCrVC3vW65E+3stWYnutoul1d+PztKtse0kpDr9jcv3lS2eJFe7jneizX +fehJrPuwA4Z0vZujxV71/QD477WnFauye2YQVRd+pbvwM3GPEexY2AuVhN+J +dtBuLdEO2sW9Qni/8837rYtNT6a2vwUNXLNenS8+L+51eijsUNilsENhl3pF +tai+66MvtTjxT1qWSc8kf2Keh5z7pdAzam22I63v0T/SZ8/Cd7nV9wZgZ8Ou +hJ3J7y36XdiVPws7k98b1E7YlbgPBfzFPT6wK2Fnwq/CPTywY/tnuA31Yim1 +46zJ9b3V9wfgN8OPRj3+nQK8J+3vjHTes/F0IymsQu/26p7/zRnLmIf6HgH8 +uUFV+3ufPxFLI0UcoKmIC4COoCvoCLpGOV1d/XeXaOq5etrbQZkTaeOWQieS +56h7HeGXw0/n9yrBT0d9jJt/RwF4wA9Fffi18HPlPZ7Crw0tmr9vcJiJnpmf +8bT/6J5DcYtN5GGs4VW7YIKMOyEOBXk0iXvFEIcCna6L/Vh+j/oGQVfEiRA3 +aibuFePfr0IcCXqrstBj0Fv8+wU3RRwI92KhPcQ1EOeAPCCuIe87FOMDn/l3 +/3APFPx6/r2CM7UzjZgwJ4XmZrix+dW98+vnuk5/dc9EkaMyfU5ITqTaIi7E +v08wV9zjhTgP/17B11KWe7UQd+HfL8C9V4ijoBxxB8Qh+D1WiEOgPvDg32EA +XvCj4Vfj3ib+3Tr42Yh/1z1df96GsynkIfx8/j2Ev5rsjDrlbKK8QU0WHz+l +vo+A99AO3kM7uKcKfjLGi7gG4inYRzF0/RCZ44KR8o3aUCt8+07Zbr9WNwtd ++LyPdl5pXLaen/rOwINXF3J/WWP9nQG7Drm+VV2xleK3rc/eu62JAttOilhm +cpT9VQmM6Fd72nG6dylH+gqvvnMQIOrhPdh3OGe9cM6K0mF5j8h9oBKiHbSL +dnxFu4UEHsCrp8ADeAEP4AU8gNdagQfwchq0uNSrq6nyiTgT4k645wz2H+j9 +WsShIDcNL0aPm3LhKhXNSGtoZv19BU+hJ6AXoCdwrxj0DOSpiYg7Ie6RaPaD +79LZ4HqGFQvUdwwQhwwScUnoyW9OGXE2P0pNsF8x8Kj6HkOiOL8Oewv9NRBx +LMQVEWc81GJSq5KT1fcYcM8Z7Bm8z+NciGshzo64e4rAg39XAnjNEHYc7LrM +py148O9KpAi8oD8Rp5dxdGE3lRd2Er/X9oDAC3zj38UAH2HXws5tLOxazMsW +Bx8HjfA9I8+LYR+0mNgXbbX9rwc1QtPn5UjHbEnXztBkMe+hBzDvMws90HzY +pc67J8yggKuXhvWubCTjEYtfwb8bdkv4GUk3ypw9cm4XzXgx0mFAjutkbJAy +dlnQNjL4Te39rMYdainsIm9hJ7mXv9i0asEUyrm4fpFRN/1oRqexLoEBobSo +84nnWV+l++eTz3V4XyqM7oTer7KjaBQV6bnda8ccf9p1+M6tLwNi5LqOdd7L +M1v2OrUDKTDPs4uP28ZSv4Tuu/rNe0xlDnz5PG58ul3kPm1Rtj5PaObvDfe7 +3I6nQQfuvhk8yEQF8jo6+TRIolyFNkXZNTVRb8eLvxYZlkIl+3+Med7uIi35 ++mr1mWpK/51ccYp61ntE3mJcWcQ4oSd6PxuRNOOTuh/+q2nfD9XT7TSca4dn +iHHeFuPGuDDOxYIO0wRd0H/RstV/eJU9WMIrLp+8ty00RMLIJ0L/yB8CfMTw +s59bSiRlLe/9xilZfV8945aGkrmeSnjYuiRDtUeJUg5bTO106E5p6/ueC2dM +k+BzVGlJvq8TApPpWZe5v8xODqKx/4x9dCvdvhltfkbT2FVbDhYINFH2/lUe ++kbHkuu+MpmdT5qow62xW4NfqfvzM27b2ZvFSKXNeeZG+pjfcu4TfIcclBZ8 +HSD4/H8AfaocZw== + "], {{{ + EdgeForm[], + GrayLevel[0.], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFUrtKQ1EQXBKMgXvAb/A7LG1SKGhAMKKF8YVXzfV2SWGRbxDE5w8IwUge +vfoFRlAsTBdSKERIQEtn2AGLZffs2Z2ZPXtmy0mxkjGzeVgW1s+ZfcA6SDZh +Cewb+etgVkf+Bj5GrgobIT+B1RB/mdfWVP9r7l/M68awGeUmyleAtQ7MBP4e +fYsQMDTPkTsVxw9sAGuLl/zn6LmDf8ibXSA+Qc8l/Ftk9j5l9gp/gHMJ+UP4 +FLaB+Dg4D+NUHE1ppvauZingvga7xflIOqhhIetnxqn6qPk07/kd4PdyrqGO +85Vme8T9WXDMYuRcE73HMnItzdWRhkS+Iz28b6uGnudP8/doK+Zc1EQ9Xe2C +OGXwLoFjMzge90vMreDc29L8LB3cM7Gou6S/kKivrzdhLXs4Y0F51nHunnDW +gt+Vgt8X1Mtd8R25vyfczU2bZSLf80j/pCUOzkVM1pCrkfFZYu2lod0QbyXn +uRiYq4j3g7/PWLjkY93A/v/oUH+zqjfkX2Av590LjrkbnCcW1x/cBoFP + "]], + PolygonBox[CompressedData[" +1:eJwlkF9KQmEQxYdb3oQ7G+ixt/bgBnwoSCVIKfBvmabmYw89iDvQiMraQBAZ +0Qrcg9EGdBv9DvNw4Jw53zdzZg6ao/IwMbN9sAsO82bfFEqpWcvNpugfdBXd +R7+Ae/gntSf4Zs/sAz4Ac97OwNFOvHnG3+Iv8c7RQ/QD/jH+BP2KroMe/gm6 +Ca9kZu/oO/QjOkEX6PGXM/uFr7Pgyqisbx69vtALeBeM4GfUeuIes8fKCL/2 +8JRJ2W48dtMf/W177K5MynYLLtLIrOxVdDGNm+g2HY/dT6ldwZfKk0TmlcdM +zVaPMfzS461upFs1PHbXDXXLcha7a0YN7x+PJjTk + "]]}]}, { + EdgeForm[], + GrayLevel[0.093], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNVM1L1FEUfY4z8xt/8/BPCCKMFkXloibJFtl6opmpaGxh9p02Y62iEe1j +F0FhUdkHfVGb1CL/BG1tCykIIgUxcl/rzuEcqcXjvt99591377nn/jYONiuN +TAjhOlY7Vj0fwggcvVg17KtYK/BPZUOoYD8E/4L93JeSEA4aczKGMNEWwpZC +CNvSEDbhzlbYOfg/A/MBdhz2GtZ80Dtjeb21Gdg8EriL+0+jzu4XdD5u/C5g +bsD/Bpgl+Mp54ZkLc5rB2fes9uu57U6Eu1dQjquJ6iCOmB5870kUYyCqllOw +bcUQ7iB2X0cI/Xnxsor7pXblxHyOwB61v5LR9yHHJHfD2DfsJ+ZcFH4YthHl ++5koHuP2Gl83J+TjV1Y1TkbFm0AdF6NyakbV3GXMXuBr+F5E3E/gfRr+d8C8 +wv429q9h3+K9K8A1OxSbb3QCvyNVnO2wv1Px8ycVd+R6wpwve/8SZ/vwVgv5 +zGD/EPj3sGtZYRh7FPYH1gbEHzS3A+aAnJCzOmvJYQ++a+wDViuvnrTcx0dR +sR5HYUYdkzledd9ZB/XGnj2xzp7BDkW9cxN5no3qy+koLX3LSU8L1gPj1HPC +s498n+fMgW+23FPWtmTtsV5+d3p2+j0/ZedFDPmeybq3OdebUY5jxlN/1OqK +4xBLfVwwX9TO4aL6e7lDs8F7I1GaYF5nou6x78yfc8hefSmK10qieqgT5kEM +dUHtsZfMi/5Fa7thHqghxpz9rzd877hrIf5B1He1KF6nPKtV48nh/lSz212Q +FkqezUvWM3XNO1OezflU+znri3kzH9ZCHVADszibxNnHVDHL1mfZfLIHX4vq +U6YoX8k8Mx7vktNl63x9Jqgj9pS8kB/OO/vY8L/xBd67BezzVP8UxjsRFb/q +3vMeMcRzztnP89Zgj3EVa561UMtd1iE56zHP1M609UMdUzvHPBO15J9OGYv8 +soesjX3hf3fN+uxLpfsDqe5UrYedqf6/3al4IJ4c/gX8bcDy + "]], + PolygonBox[CompressedData[" +1:eJwlkTsvg3EUxk8vWn37/xIiGhL3QQwY1C6aJkIt6hY0bZlEmjCLhJCousQt +TFSin0CL2UQiEYsY7Mx+xxlO3uc55zmX//M2pHOJrF9EmokgMe9EvviOhkQW +wHeeSIlCX0CkUC/SDt/2iTSR6wTfEkXwCEPyEZGMs94EfBHcSr2Reoj+GP0t +xFudSA+5OLUqfB39GnGIPq9Bbwq+BL5As4l2gNwZOM6OLZ/NbIMvw5N+u7EC +H3O2O8WOcfCQZ7su6RkEd3h2+yrzi9Tv2f8BLhD7znJae0fzg7abiAXtzfp2 +9UC90DeX4bPoM+xL0jMHfiJXpraC5ipsnqg3N+QeqSWidtsEsYc+y7zegL3x +3DOP/r2Cd8ErYevVmTq7RlwHzUP1MufMK/1nWfCvZ7cnyFXBuYjd0s8NWfAL ++3d4yzea16jltLYBP0V/4hnWm/Q2f9S0z8yrMf/Y2b/Sf3QEniaGQzZzCjzj +zItP7tmlf9IZVk0afODMa/Ws5OxGvVXf9AD+A8rhUwU= + "]]}]}, { + EdgeForm[], + GrayLevel[0.155], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFVD1PVFEQve6+fe/tvGf8BRYmaAIRRA0hAVkTsDNK4gdWGtHSZJeYxQVX +g400QuNHtBNX0MJEUST2Ahb2VsSPRBB6P2rP8Uxi8TJz7507c+bMeXfPpdqp +aiGEUMNXxHehFEITzif47WkI93aEsGIhLJn2r5ZlTxcU8x77L6IQ/sDezUNo +xLgDu5mF8B25NmDXcDaJO2O424PYTex34u4i9h9h/Rq2gvMRz8nYBfhH8ZWL +yjMPHPWyYm4DVwP78/DXEN8NvwV/Gf4u+NMF5b8c6z7XJ4DjOPIsJCH0FuXz +/jD8KdidiL+I+ATrW1ifBaZ3qHkEteq5zsZhO7AfIaYN+4PAM4OYvanqECP5 +qhdVg5hOok6/9zODux2wNcSn2BuNVSv1mruD6hPPLPI0csVcg70DngZi9djv +/JOfORMXVWB5mCvHAVMO4mRfnaY+hxCzUVI9Yn2FfIuxOGR+4m0viH+eEXOf ++4zZRp6PiNsy8Uyf3HL+zMfarElOWLctUl/sZTXSGXGtumaona+ms2+wD4B/ +ArXu5+rxfEl99vqsie1cJg1QC2cyxbxNhLHPeb6ea/bNXHyuRKr7xeR/NsVO +eI+/sF7H/k+Tltadi9+mnshrt6mfLtiQqUfOfyCVTqiXHueDGuB9csp5VVNh +f4yYuUT6uFKW9is+S+qCtRlPTOyf8yV/rEscLeeCuboczyET95wpY16a7t1w +XJwT/4WDpjnsS5WTvHA9mqrurOfhXIh/LBUmavZ5Ih0Po+/tSFrifA+nyj9i +0h91WIMddC6OmfTF2Uz6DMk7tfTBZJcS9V/xN2fK/0lim/b/n3h+ZNLuFmzL +xAF5fWLi+ampZ/b+xlSr4Vw1XBvcY05iIyd8j/5p3cQLa+434Wk6/8+S/3iX +/Z26idghEy6+kX8BQeme2w== + "]], + PolygonBox[CompressedData[" +1:eJwlk01LlGEUhs+MM+/M+8wL/oIWgRKGXykSFBpou0rBr12htivIsrFRB8mN +btSNFrjLLGshqKXRD1A3/gUtBTXd97H2Ot2LA/f5vs95znN1aLj7WdrMWpAM +ci1vlq8wO82a/SqYVaPPpfBhux7MsrFZDjwQmRUTYrDNUGCf5AvwB2QWXINt +BTxJfhvxS9g20Q+R1/h20H+CV3Nm9+h1k5h6ap8H1apEbyb3GH03oxzP7Q/y +fYdTK/6InBj9MXwm4HMfzh/TqvkAvEH8OP472NbBDcgV5qyiZiN4Hmn02fA/ +p94aNTYj5ezh+xHE1Wf22f+hr2VU46/nYruNr5N+n5nlXdDsJWzL4Alq3gKX +qLlA7XIirr4z310Zf2uknb1HP4XzSVYz+WwviZ8idpCYEvgNMhapptfeIWcx +JU674K9Bs5bxb4GHY3HZg+8n+E2T05/Wm3zD34R+Rr8W8tvRnxJfxLdCzBPw +NjkPs5rRZ63K6xb8TY6IH4nV6xExfXB/gd6TVk4veq3vGH5dxNSBT/x9Uprx +DHw3qLfP0BHU03sfYPuD/iXodrym1/Yb8Vtxjstw+x0U6284CLfFRLv2G/Bb +OC/olv/3BL9KtEu/cb/1roLebpX4zoLEse/4LbFNQbfiM9wAd8Sa5QJbitit +nHbrN+O3M5rob/ib+dtdAslda0c= + "]]}]}, { + EdgeForm[], + GrayLevel[0.217], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJwtVUloVEEQ7cn8P/N/zwcXGL3kkhBRE4lC3J1IVDwkmLhFLx5GPagouDCu +I4koegkk4AaChnhx9Khg4sGLCAq5q8Rd4hLRg3EB9aTvzatD0/2ruqpevaqu +X7fzwKb9Nc65Iaw01srIuTwOU2Ln1uWc6widu5g498I79yBw7jn2qdCPpJyr +YIVpyXvh5BBsyvi+gzut2LdA1oZ1AvZ/cScHfwWs5fA5lHXuNOR7Ms6dSXS/ +GMpma07nYdy5ifUYuBbA920vfz3AuA76As73oJtDG2AZwflsJB+lWHeKKdn3 +wP/VQPZ5+A+hm8TeH+vODNh9R6wE51OQP8Eaw52n2OenhZlxlgJrMzAvx/4e +unHIJ7D3Qbca/gtOWNpD4Rkwjvqwz8U+iHsVyEcDcTjPiQNySh952+mHcZgD +c6TvyVBy3l1l9ozTYbGIkxhnYv2B/jz0TZCvCWTPen3KST4b+R5H7nmcN4LX +IFQuxNPt5X+zF8fthqEzFB7yyZxYc+b1Cvce4v47rxqz1gn2YS/OzyFWCXwV +kc8R7F2wrQtk+zsrDMTyyYuXk9YvzIH462Gfgs1LLx+U1zrt1Vgpnaljbo1e +/mfB7ofV9HiimjNPxisnyjWDuG+9sDTg/uFEvkPrH9aA/UGuR43DZYn4aIxV +34eGpxyJr0vQH8gKu4+FiXH5TZ+d1rvsM2IjxmuR+BwDljL8NWbUJ+wXfvN8 +MtB5ptWkKSMcLYnOS7A/wl6bFa6unGKtx744UV9Oj4QlNDzMK299+Mi4TUwW +WD9QVvWL84VE2JkrfdHnv1jvhzytSBSf9+lnL3Ql1G5frDfM3rkL/becYrD+ +nTZnOG/Wh5oFFcRoicT3BDg5mFZ/D9o74xuhjvwyjxL8fLT3yHf52XqJPUVu +yBex0o7vh7bj1g+sD+vN/F57vXv2Nzlkf5CDD/BZE6sP661WPCPdav15lz1E +Wdrkx6zn2fttkK3Fembzipywjr2RdHcR93pW77g51gzjzOK8Ijft1jNl44by +y4nqyzrvisXNffg7GKlX+r3iMB79VsyeNfhlOtZnwGYgZ+Ei6yX21JWseN8N ++bZI86sB5+2hsDEX9uOgzZxbWdVvA/C0Rpo7WxFnhs1bzt2WWPky74LNUs5U +viX28kKcd0Ty99OL5y6bn8TfapwU05qVnIfV/4zh6bH/Ds9vbC5xPn3xqv11 +61P6Ig9fvfzwv3corRwr9hZY01qrB/m7gfy6c+KQ/7pJr/vkZiIQTta9y2Yj +z5yz7K+jiXiab3Xnm2E/ToP+PwVz1C8= + "]], + PolygonBox[CompressedData[" +1:eJwlkztoVGEQhWeze71PUItokyYYwWRFkfjAuIEkYiPEaEzWctUiCoIbSXxt +iKAogmjEFwgqpjFaKiSxSCMWgr1CVHwg6ooWrmhj5zecYrhn7pwz/8w/87ce +rA4ebTKzXqyAXYjM7gAm82bjsVk5MduOP5Mz6yRWxJ8Ct4RmC5nZBjjdcAcC +s0f8O8W/jPg/NKfBq9DkieewJriL6M9w4DPib8FZKm6Rs6vot6GpoF+3xKwE +bkPTjvYYdhj8BE0N3EOOx+CNcJ6iLcLfBO7KpPV/WzP14L3sp759nFVP1MtL +zvwOTokv89xozsJ/l6hWr/EutbcTX48/it2mvolM2rXkr4Fn+ffCVNMQ+f+g +X4l2DP8v+Lj3Q+4WOOPgyUi1+x3PET8SiztPfJpch2KddQ/OCHgYTl9BM+hG ++ybR3QVwCsS3ZOq9TE+bwbtTzWIG/VXiq9G0wt8Fvw9/D/pmuPPYIHgh0ll+ +xw18w9bgd5GjRK4T5LyWUw8nwVX4HeAaOS/Dnca/BL8Z/U/8NvdzOrMD/waa +nZ4LznXwa3IuBtoh36UHoXp3Tn+qGr3Wui8jfol8jUB34Hcxi/UQHybf+Ug1 +eC0T2Cj+RWxHXpxOv9tQuxWQYwX5xmJpK/hl/EaqmN/JL/DSWL1UsDJ4L/l7 +C9oR35WbmXrpR3ML/In484J6/gh+n2jW/u8DuE7Oz4Hu8Fuqmfns/A5epZqB +z8LPGEo0M5+dv4GpWG/M35q/qd98l0eatc/IZ3U/1Kx8R31Xv6TaTT/zK3gu +VK/+Rv2tDqSq3Xf2IbErie7Od/YAuc9legs+0x/E/gOGZ3cq + "]]}]}, { + EdgeForm[], + GrayLevel[0.279], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNll1o12UUx5/tv+339h8RiUVL0OrCZcPEMlrG6iacWkwtHS5srqgurDE1 +SPAFzRkibLOo1gsYdDEvuhE0BiUmRCLVXabOq6guVoEWmKiofT9+j9DFw3N+ +5znPef2e8/zmDAyufKMxpfSLVk3rSlNKrSKGxbxQpnRG31/lKQ3WTGfiX9J+ +UesByXdnKQ1oHdf5usz8b7jfktK/IXNE98d1b3aR0lzpnC1+u/Y+yX0v+vOG +lPZpHRPdlqyfuye0JnR3RHdnFNYLr5Lsn7r/o+jPcsteClvrwh/84N5M3ZmU +fLvuT+j8gM4q0Y+LXiUd2yW3FbuS7Wg0PZl8/1L4gO9za479H92ZEu+o7G5W +jGdFH5T8LvGHRA9rn9doPjo7Jdcluqc0byr4f8uPe8ltPaUfmhwLfn7X4G/o +C5lj/U13P5D994lftubkLlaD4nilcG1e1X5YsidFdyb7cKNm3y5GHOTvqnTO +ktwWya+X3uXif1G3L5yT/wnd7RL9lPbRwrZ7qpR2NNkH8vMxeQuZMcn0S+ed +ue9uDT+vab9ec97x5Vr482yDafgLCsseyVyrZ5qcg9bccpd1PlM6L9f8fbUw +faWwPey+qzj+KJ23XXX7WIs6TqtGh7RGtFJpf27PXedtIUPdF9Zcl3mlc3FK +8e4ubRNfBjP3Rl38v0pjC2wWlfFXan9eMqOys0zf5/V9vlk1rOwXMYE5cEQ8 +YIlYl8dZo+LZq/2+3LU/obVM8vfofqv0XK/cL9SY+i5SnB2y9Wjd/QqfPtqs ++wvEf6LufKIbfcQHJoiRHvmo2T1LrsghNXivdI33a28Uf5tk39HZsHRtkM49 +dWP8WtRikXxeI5k9uWOCR03JNXbB2XjNmMAG/t4IP9bGjMFncjkZ8Y7Ktw06 +G5Dub1s8F8Dkc/LpSdleqf2T3L6dEn1a66j4P2s/l9neft0dLV3fIckeb/Js +IZamwvrOltZNnDdjbHQe8YcYN0Zfc45+7L1dmj8gnS/KVn/MPfIxFPLkfkfg +itxCE3t7zL3tqmNbZhr7xEjf0eePKb/z9d2p/UbESKzg6GTUGIzgr9Sk30v3 +9a+l5wi4Bb/Ug7q8SY8Xnl/M4JHoBXD4dcyvkbpzsy/0nm52zHwvyVwn5urS +zD7s1NqiOwO6+1bd/QXm4ZMT+ORyNHoODMxvds+CkbGQhz8YPDAzHj3xYXJv +dgRWyQfY7Yjzu0KGWQqOyDlYG4m4yCU5pca10EMtsDkWvbm68ozapNz0il4v +/77MPPOgyd22yjVhBmP/wRbbI8f0DnaoYVvMaHDX02ysMxPRcTpZhpySz4XY +o6dy55Z8kaub/maW+amy7+B0Z90x8V4trjy7mGGfBqbPlX5/0UWNqFWt2TTx +Mo+oC/vSoImfedIZNeUMXn/4syTez3WB7RmVdd5ReQYwU+hXcoAMeQAX6ELn +VGk8nSmNJzAMVmfFHGOe4eeSiB1b3fFe0/fMR7BwMPNM4n0gN+SIPOML/xbE +OFO6WvS9KXqxO3xGV3fk5O7KWOPdo7+Rp4+wAy7BH3Xr+t+cYsf2YuX/IXBV +N5agO+JtXBN1fqRubDysvZd3kLPCmGS2Y3t14Xl+W+H5xRxbEbXrv5XzFucf +/6dL/xcdyF3H6eil3rAJrvpL161N8a2Q3hd0b2Xh/kY/uNmr+0/zPxBv6GD8 +w3B+KHp2JN533vnxzL3YHvr64l/iZX2/Lvqlwv8ya2NOkse+oDfm/pcak1+v +Fe7T+wv32a2e4D+DnBzLbH86fNid+3/icGkcERd2/wP/5UW1 + "]], + PolygonBox[CompressedData[" +1:eJwllVtMz2EYx9/+/z//36k5RDNmctg0siRCIm7c5FAxGi6qhRu0DjZtHVbE +XKAYYraYC9xjNlrrqhmuSKdLXDhs0gUrUz7fnotn+76/73N6n/d5nt/yyurS +MzHn3HEkgQShc78B7bOd83znGpClKc7t4VtF4Fwq53z0UmfxHd1lnG9zPh13 +rgp8FZ1GdJuRWs+5o0iSAEOcx+Ay0OmKmY1s3+NjEF8Z8Jnwm/g2CHcYnTzw +MN+WcO6FHwF/RHrAMeLF4dcgueBs8t0aOXeSczXnR9h0JZ37hf4w+vXwrzyz +ka1iKnaItBOrEr4B+9vYZMNlorPStxqoFnG+LUD3CXwxuAt+VBj+KPgYUgJO +C033COf9nAMkFTxJDtXod/pmW05NO8BzkH7wC2QH+RVjfwu+n/wfo7+NnNYr +PvbpnuWk3E4h1+Cn+IaJa+IO0+C58OnisWnH9qxvtawgpzIUe9AZSVhNVJtV +8Iti9kZ6q+dJ0y3Exwa45tDeJiS/JnA+33bH7Y30VrnEWIttFvE2gTvx2YJ+ +Dud6/C3E5im2s/GZDm5B7oBXKD6xFqhnsC/CXxr4XGRv0UeMcfjepPXeXqQS +3xsji6U319tXEWNJzO40Dl+XtFiquWo/EFht1DOD4Am+7SOfCfi/4CzkheoH +fw3+ALKN807OB8F/8Pca3Z/4/Enuo3zrg7uEjxWe5ahcdSfdrY383ibMRyv4 +Cv5vxu1Nr4K3R1YbxVRs9Yh6pRCbfPxdD6w3VMMb4GdJ64VGdA7h/xz6rXHL +Sbl1J63XpzgXwM/HxzR4HTHyiLU5Mqw30lvlRzYr6zhvAdd4dnfNrGZ3nme+ +/iHTxFqNPMZ/Lfx5+Ci0XtbMaHZKAquVclJuk77VVjOkWRoLrXbqAfVCpWe+ +apC2wN5Ub6ueVe8OBTbrqvE9dNsD09WbXQB/QvoTtqP80HKcyTVud38Kfxdu +F/k1e3ZH3VUzVKDe8m12tIMqfJspzZbeSG91MbLZUU/+wFepb7M9s/PUq5Ht +EtVEtanz7W0U84J6kZyKwB3oPIgsB+VSpvr71uPq9XJsysD34d8lrGe+Ea8j +sN2pnlZvD4Q2K9qBH8CfA5tF1eALuBudNwnbQdpFmlnNrnaUdlUO/MMU0/mK +fgq8i9vO0O5QD6uXLyMxuKnQdrvuUB7YTtJuUo7fOb/0bJdrx57w7Y66q/4R +i7EtDqyXFVOx/wNx5sAp + "]]}]}, { + EdgeForm[], + GrayLevel[0.34099999999999997`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJw1V11slFUQ/ba73f1+VmNoTSgUwdAWwRqkoYRiMAFjUXkQkDQUWrUN0QcT +jSIkCiJggRIF2hIC3WgBiUYSfaABf5LaxoCEJ3mgBRN9UiAxFomlD22R4jme +48OXOzt3Zu7M3Jkzdx9ufWPN60VBENSmgiCNdSQTBPW5IJgLeiboaaBj7A3i ++wm/L2LdB4USCJ8FfV8keg3WdfimgS7B2pYPgjLQT4VBcCkjPnVLi8V/FvZn +JNKljQfwPQdeaxwEs0EfBX0EZ08FvR70VtCLIF8D/W7Q52BrCnTrsNcJf6bb +/n7QpfatxP6URvL9kv2nT/RhCvhVsPco6AL0bsay9VUouaGUzqYu46d/67G/ +HN/PoE8gxjz0pyfSoW4ZbDbDvyZ8T+PrA/8Y+H/D9nac84X1O6C7ORsEB7Fe +x3ojq5y3QG4X5N6BnQHonoTsUthfkJb8cfy+DJltWLux/0FeMX8Oui0lPraD +asiXkcaXgf/zsX4HfhPk5mGvEvavZER3g9+G/QT0p7DRmVW8lfjawc+bz1wy +J8xNA2JbmZOvv2ItYD3EfCfKCXOzJyWf6E8v1vt9X4/Dhxj0X4lytML1xjyQ +vob1j1jyCyD7fCT9kkT1eC6rmixN5HMYKX/Up92WnGqYtXyZOrCdjlTPV+Bb +O3Rn4nclZGdhfTBS/eyFzw+BrgD9EtZyfO3Q3QtbGy1PvcGM6HHYOVwkedL0 +lT6vilVTrNWeIsXDOJlj+vQjvn7s3w2Vm4lQ/tHPK7H8u1ek3A3GooNIsTMG +7l9KK//so3vQn4TMZKieYe9MQP6RWDaZg3LsV+M7hd/tkGsEvSVSbcbmVyfq +g2+xvxz2P86oVg/Bzg7QXbFqaYfr6RvIXQV9C/y3Qtk/AHpOLD+3sb+Rg0NZ +1dIR3g3rJ1C+wiLlt2AfWIezIT8KuSx+v+aV8TRHynVvqLPLXc/k0Rbt1EWK +i/F1RDqvE+vL8GcCdicT1TXrm73MO2AtMUd3QvVOIVQ9sa5iyJ9BTbyAWH5A +Xruy0mUsjKnLdG1asdOnYfPZF4fZy9DdAps7M6JbnIedpmuyohkLbffaN/rJ +cyuNc69m1Yu0zbPXZJRrnvtmqDgYD/uCdcF91sa6RLizOdJdNhq7Co73sjHv +orHuOn5fhO61WPVB+UbYqMgJZ4irPIc1zLPmGTu7jd30fQCym7LCLNb/Puux +95eE6mX29FXI98HOENZ/cMY47ugu1mdC1U1/XvdAeeIPZ8X5lGztyCsn72P9 +DfoXYOeTUPhY7nr+0phMXCf+sta/D9W7oeuG9VWfUo2xh/oz6rs2yG8CvTtW +bZY5xrUZ3Qvvh7J9lh/Fetu9ze+C87M7r5xwvjE+3iVnF3uYuqw93ifj5Z1l +spqRpHfFOrc11Ewhpg1APxcJ54ijzD2xhj5GiTDmd+gVIFsLO4sT9RExa9wY +zPuo86wftb+0R/w8nRKeZZ0f9vdQRjnqyGlePpZIjrjGe2FNDrs3btsm8bzX +fPbCCs9D6iSh7I1Ekr9h3H7bvd0J/6uMIcQS6l73fKRfxAfqf5hX/XGmEfM3 +OD/E8kHPKdZyk/nEfmIpc89+4cr8N7i3mfNVkfJzLJS/TcbturR6lX16tFhn +9XvGTniGtkTKdWsknCI2zYhUx7zfWYnsNdufDZ5RtMOcjThvzDdnM23SrwbP +WfrH2mBfT+aEDe/yDZPTzOVMKHV9sUcqc+JRnudnHCN9YF4YF7GiwXixGjLL +/EahLnv+vPEqY4wijvIs8tlnJ43DjKXF8RDXaIM4X2/+gO9sLK1eG471rtqT +l6/njA98lxFn6DPx47h7mXGNFUuuJq1eJp9vk5vFqse6UOufyPPNRPzhRHOR +vZ2K1BMLbZe+DDnP7PUJ3yfrn3OItXYn0bkTifqsx7Oqz3P4v/dNkfj057NQ +/vNdRntjrg3W5FrjBnuAuWfv8Pwx54a5b/T7kO8p3gfz+KJnH2dgV6T8Tg2F +Je3u5YOe+3w7/z872b+ncrqHGvA3harjTvj2i/ncZ89xhvE+ayPN/iVYD8ae +bZHumbq863b7znOZx4XWvRMplnGsq91H7KetibDwVk51VeW6ZB1VucZWmsc6 +r7Ic+XyDcH4t95m9PrfCMqwT5rvC9LBnKLGI+uSfdT3SDmMmBmzz++qVWHh+ +xu/wa8ZA1jP7fMCz+ohjfy8Rf3ui2jvt2TQSqy438k0e6/09J9Jv8jti/Sb/ +QN7/IxwX87e0WDle5PzzHnpC5Xo75D/Ka6buz2vm0+Yp3ytj+jonOyc9/3hn +vLulfodPOt75ke6RtTAaCUtv+x1Y7TlSb6wmFt0wps91Lzd7r2CcaDGW8m3K +flifqI4XRtpf5hifiPTuWIz1yUTxnsipbxY4ln8BQEvEZw== + "]], + PolygonBox[CompressedData[" +1:eJwllVtM1nUYx3+87wvv//DKhdBEhIqVrpLmZGKio60uWvMqqU3kogJaXrRq +HnDzkBkBykoOmgtQwdaqzXETm9aFwVqHeVVbE2yrm9IuXKJNvRBI7PPte/Hb +nsP3eZ7/c/zXtL3d9FYmhPAmL8dri0JYjqA2G8L7SQjVcQgn4I+gq4L+JQ1h +pjiEhwCvQj/Dq0R3Af4y9A7sa8HXY98PfyA1NikKYT/0w/hYie4SsnNgDxdC +WAE/iM04/B/Y/IDuNi8CvwH8r/jfhr4B+gr6LuiL6P+CPo3NjznbyHY776Wc +fT4A/mv0I+CfgP+AWPPwQMIBZAvKNXbsFmQVosE0gP0U2RT6DmQH4U/hswf+ +FfhHs67Jy9DDkX3d513C8bvYby8JYSmYTej2KV9yfxH719HXkFM59cuBScDe +RHYZ3XNgUn0b+jTrHGPob/O2VU7K7Wri3KfA/IPuZt61VQ3+RLctda2eQd8C +3UT8MuheZFuge4j5E9jN5NsNPRZZVwrmGvblYCqhfwbzBboXEusmiLERfhD9 +x/AXsf+N2Kvh18HXk9MIfDuYtfC7yO9D/C+Dz+VsMwD2OG8EuhV/x1RbvnEI +20lkjxNrXexv34LsLP4O4uNIxjU9BB2jL2QtG8V3Y+peNYJ/GnoJsnnFJ2ZX +Yh/ypZi/Q5/P+9vV02bwbfh7A3oIWT+6AWzqsp7hnfgqQr8I3cP31sh3bOxd +MAvQt3l3oB8hRl/ePVFvlNM7+A+xZ0M7o93pJ4eOEtdItbqHbA7dd/if037w +yoo9M4v42ot9p/qhePAd2NSVeEbXoPsk79zVA/Wir+DdHSPmBbCL+JtH/z3+ +qqBvxZ41ffMdzWbs3ZihXucjx1CsAjaV4Ifh66BXI1sVO0flqh14EP4pMGcy +zmmA2PXwoxnbrIc+ic/JnGt4P3KP1WvdjMegN6SeHfmQL90E3Qb1pDX2DGoW +NbPXwQ/y1oA9BH8c+lhiWjOmWdvD64R+j/cRuhWpc1ENXk28c9o91fh5sNOJ +b5e+Ud+qGqgW07wb6D6HP0q85dpJbOdi914zplmriDzLinkC/DeRa68ZugXf +nXgWdVM7E/uUb+38V2DH8TlR4h63omvHf5TxjXwNeiPvWe0ysl7w18lnttg7 +oF3Yypsu8s42x75RulWyWQ9/tOBdVE/Um6m8d18xFVs3SrdKM/hv6h7/32v4 +AbCl8OVZ1+AzsE+m1umm1kIvjV0b3TTdtrLUt0I3rBz6b96XRf7m2dQ3Xbc9 +QZ/HtrHgf4V6ujvyDmgX7oJf0OympvUN+hbNsGZZN60a+kZqX4rRELnn6r12 +RLvyHyLc2oo= + "]]}]}, { + EdgeForm[], + GrayLevel[0.403], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNl12MVdUVx8+95957zr7npFHbhgGFOsLg5yDEocU4yBBJ8A3wBXFIm9Io +Ii00Tapp0dIGjcDY4jci2DCt9QN90NLazmDb0NYmfRNQEpO2Ck9VBkyKUOWj +6f/Hfz34cLL32Wft9b3+a53eVetvW9fMsmxtI8tyres7WfZdPSPaz9TB9qb3 +x9pZtl80X9P+RDfLduj8jTLLXqizbKf2jxVZ1i/6XdrvFM0jTdMv1r7WflTP +K9q/VHu/U/Sv16Z7XnxS0zy3ima6vq2RDgd0/3zD/OF5Ze49Z4OiOd02/0eb +pl2u/bkqy/Zqf5N4tltZNlvfxnX+kd5/oHWj7v1NvDPd/ZLo3tV6TjQPaT+g +b3OC/t+iX6P1gZBzIGw5kLLsX9LjoNavStYcfZur9WrRTdL+LdH9Qd83ic9V +op+aWz90K5LPS9GfFf+z2p/RerPeB3V3vtZ7pNvajvn06u6nWo/zaH9W6816 +vl/aricVh/+2rR82n638/lllfbc1rfNbtfcv6d6v9Nyqsy9Il5+IZoPOE3Z1 +vd+u7z2548Ld90VznZ7btZ+m8yPaH244tiNN58Ne6fuB3vv1/LX2+aj4/Fj7 +u/TtR1qXFtYN2eynh1//p/Ww+F4unS+qLSvX3bVdy15Smu/7ocOIaL4nnr/X +eaXnlO5+LNq54nOpzpeLblnhPCZvrykcm0MN5zU5zflS3T2qs/W6++vaMXpF +ZyuVM8Mt23OF7t3Zsa2Pav8sNSFnTdHzFfG5RPcWl47xJJ1NlT0TEbNjyTGb +0LpR68vif0vTMvEfufWI7k/R2beQG9/f0/nbIX8FaSr9Onofkn/+3HGeTtb5 +Ft1doH2hu/+Ubrsk4ynJWlJYb+r1YGXaCwFuO+8v5GTUAPn/J92/V/vHxO/6 +5Lwiv+AzoTvzqPe296Oi/6w0u0Nar9ezW2cLpeOs3HVNrd/Qtl3U7CytUzqu +KfLk047t6ms7jtQ9cYMGfHiwdv6/UNpPR8JXYxK6TzKOyqbjlfU5FnVzU9ty +0A+7yclu7Zj3Vs6HRXrWdbzOaFvuwsL1Rq2RJ9dGLs5uB+5kxj/25Awx2Rv6 +k1PcuT1ygtzYUbiuyPEzlWuOWqKORir7+3TIuSZy8omm6xts2pSbP/k+s7Zf +Zmh9Vb74jvYP186t1Xlggp4zcfcKna3J/X53bpotmfESXMYW5KE39n49me4b +Wp+vbedvSmPY1WEXGAqubIyavji3b+vk/Tx9fzN3XpJn01rGU3L0fNP4tqkR +34vI3cLvqWF63tkjH3zH1z8vnXdJcg61bNvx4IM86OELfpGLYy3zvvCefHdC +/v5ycqxWd41nk/KoZdkzQJ5UrkdqmVw7kYyxV4KfLeMd52DDZbkxlXj1hj7v +lMbMZ0r3gdmR95PbxgQwvyeZz+RYvxkYCiasEt3fM9uCr9AfDBgOHFgsmkW5 +sYG6nBW9CVvPBT3foOHeSul9CzGSrBuTz+dpHUzmd0p63pfMf7gKTIq7F+op +anxT1BJYgc30YmwBb6ghevSMruPXp3V+YZwnV6gn6KkBfA1+kv/gze7guaph +2djOPWiI2W1t68O3dYENyNogXbfr2/2VMeDptnMAnmDZ7pAD7sFnV+AQOQ82 +1DF7YB80+8MmehB63pEc1xVa76gclxWV+xM0+ODF2nzH5cOHk/vMF7U/2HUs +zlGjXfeO39bGY+zA1jmxEjt6NrG8V/SnS8dia+m+Tu5hbz+zhe7fqfNrtd+j +s9HCGDkrbEEXMLeO/kHebYvZirvQ3NU1pvyQ3EvGg59Ff1gSvgKPwRzowEaw +EqzDNmzsE889pWuAPjlWGlOY+35XemZjHtxcu+du1Xo8OVc6pePGPETd7sjt +B+IOziITnHmq61mtR/S/LF2rzIbYy0yG3/AlNcPdx5N5PRErd6GBljkAvcnJ +wejf6EU+odN0xbVHOl0s/idz+x2fE8MNUVM3RM7gd2qa2gbfwSZ6x0j4EX+e +TManM4HHV1Xu+/T/j5LngQ+T8Qa+8ATDJ0I2uTEQOtMTZ4SsDcmz0D1dx5w8 +Jqbf7nr+ZA69NBmLhpN92R8zEjz6oseBccieV1n/2cEfH4D1yCB3OKde6Dlz +I9fQjdmDmN1aun/QV/Er/qXeqd/54WfqZTDONxfGdHrLUOFeS99h1hiMfn1d +ZT37K8sgluPRZ6kj7PlH4ZjvCRnwB0/QcSD0xAZswXbWoZBFjbMHu7LANvoX +8zcYd6TrmlsQOTAUMzz0b0Ru9wWOPtcyTtKHmc/oK8ypyCZW+HNy3P0kObf+ +kzx/4LdLknv+4ch54jkY+QDmDcf8tyfsHUj+ryD3fhp4Aj5SB52YCZkNye1l +Mdv8sXT984+FHT2hz4rAt9dKYxO+/Uth3EEuPWFB5Xhv0X5z4Bs4tyzm5A9L +Y/vC+Dd7QHwa1FHl/rkyZtZnoifyP4HPNkZ/WV569u5N7tfjLc8M4OvSwGH4 +fBDz8cul5yf+Xaibgeit73R9d4e+P14YB8Hm8ZgPmRPpB/tiTmA+Jr5gEryJ +3eHot/tarndyoxH/g3w/EDTUKTVKnVNnzPeczexad+Zr/j+INfkD7cmYu/jX +WRr/OOTRqaCpo5aJ+6nCMpkNqdlFgb3PFv4O9oOb4Cd9c3X8W8AfDOCfqD/m +QeYk8Gc07IGefxtiRwyJPTlwrPQ8RP7u/9xMnD43u4MD9Fj6Oz5kbhqJ/3nm +tWkxbzEzLIl/DfJiKHKDuqK+nis9JzZjJicuKWYAfD8W/v9Faf78O54On9xf ++z8WP56vPH9ti/98YpUFz8sCf6cmy2nEOfqNRY7dWPof5kRl+W+GP4927duP +458AfAQb/w/ochBl + "]], + PolygonBox[CompressedData[" +1:eJwllVto1mUcxx/fd77v8+z/Xjgp3dQtrR0EmwcQm1RaKehd4Y3oVuGgmZYa +BVLNMljkloZTM9k80DqIubpRQZ2HCPHCO3UWCB1gVx42g2wVTqPPt+/FD76/ +53d8nt/hmdG6acXGXAjhbagMmp6F8FM+hFnFEM6XQpifQrjEeev4EFYjexp6 +Cry5EML3MYRny0P4fFwI1eifRb+fs24cVuNjGbif8xXoH4D/BbwNWgd+FJqG +7xfRaQTvx+Y0+BT0Jr7rsHmcWJXw40msB53d6M+EZoMPoL8bX03ozEf3KDn2 +wm9GvhX5QWw6sT0OvYG/TVAn+X2KvJV8C8gL5H4P+Ri+HojAk5BPy/sOR+FH +oev4bob/C/wy8leRd3FWA24n5hr4GqgSvguah+5KYnSCd5X8VrM5ewv7G5wt +QjaM/i1wLfKpyPvx14b8D87uIhuFMvj7Imx/5I5XuGsDNIb9CPKZ4FWZa6M7 +6+7yIV8L4Bvh9yS/nWr4M7nWceca7v4ZNqf0/tDavO/0EngGVJ/3m+nteqEz +ZX6jMXAF+VaqNuQwAbyr6No1qKaKhc4A+qehQWIFzqqCz67BD5NvE/wwPkYy +10i1Wor9QnSbM7/1EvgW8BLkF4n1Gvl8SLwKdCYj24HOl9E9ql4dRGc5/M3k +t63G/0fqB87m5txDe4n/SvTb9HF2Hnw3uZZ68z/Bz3FWCd6J/BtwAzZn875D +PbgqudZX8Pcd8h5i9CKbR7wF5LuTfKbk3JPd4Gcy95p6YjF4C/aN5NrM2Qb8 +HY6+23qoA/1t0AbwKnw+jO5N5EPor4O/Af693L3Rg7+T8BPxmSNWBWcl9Ldg +/xD64zh7D9yYeZaUYze59hU9K5rhRcjWl7uWv+mNwZOTZ7cKeS3yOyJwH/K5 +xLsN7SH2O/i4BW5Wz+R9tjpZR7od8MVkH/Klnnkscw+rl9WDtcT7pOS305vt +AO8vujaacc36xOTaqgfUC0PYn8l758yBvwe/nFz+xscY+OOSZ30x8i7wQPSu +0I7Rrnk++q6/wr9O/AtF16IF2ghfl/y2CWqJnlnNrnpojnorefY0w5rlEWwu +l7lm36L7IHMux5HfB79PDm0F9/wh5NXJu28Qm2PwTcm9vwx6EvxD0bX/B5sT +2B6J7kXtJO0m9Zx6TzEVuyJzrdUD6gX5lG/NtGZbM6nZ3IePTr0t8u05z5Bm +aW/ybtZO1G7UDtcuVw+NFp2DculAp414J6J9aUesVP8hfyTvHn1B/YnNOcUj +n3byeSJ5lvUH6C/QztHuUQ0H1K+ZdTVjmrWm6F5Wjl9Ez4RmQzX+OrpGqpVi +TsG+EF1r7cQ7yTOv2VdPToW/nXnXqIcXoru15NqoJh+Av4reJZp5zf5g/H9l +hXbOrkX3gHpBf9J29PdFy7STr5LL1eRe0kxrtt9Nfiv9of+Sy8HoWdCbDJV7 +J2o3aqdqt9aV/FfoD6gH/wcP1PFq + "]]}]}, { + EdgeForm[], + GrayLevel[0.46499999999999997`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmH2wVWUVxve555599j77kF6YkhIt5ZrOOJmSpuYMGIr0R0KjEnANp7hA +TX4N418llDWoYGKSFx0BgftBoYCAXOBCaNiHl5pmRMAAG4hQkHtxuNhI0wRD +Pb+exdgfe9513r3e911rvc961trnkqkP3vFAQ5Ik7aUkKWscVU2St9Mk2a3n +es0d1+QPNX+D5BOSH5Z8smx5luSkMUku1garJb6bJ8kxzR/W+EHJMnscy5Kk +Xzp9GqdJ72rNtWp8tsF7sc90PdeU/L5fesf17rjG8Zr7bOzfWva+2HNCZwzo +dyqdE5o7IvnLYS9nYuczRZKsrCRJm8bHKt6H/Vr1LJber6VzUPIByTMkr5be +Fumt0fiF3H7N0P4Hc+9/ILffAxGH1kbPcz66F4WdKxS7rtS/p0inX++/l/iM +ESX7+qjWXSv5u4ntuVW6f5J8p87PGv17rs5bIL15Gs/WkuSo5v+j8VI9F0ke +rvGU7utaydvqSXKl9tmp566I566Sz3xIelOls1k6Zdn1YsV6Q/Qs03O5dA5p +bkvZv+do/FKsnam139baTVq7ObfOJo0/1fvNAEZjd255g8YDVfuxquq90M9K +trG37LMYd3Bfki+sGCfcK3pbQ+f+mmM0S3v+osG+gRls7o21a8IP3m2oW2+t +7usqnf2Din0Gd1Olf1w6n5fOMPl/Wd34Jk5j9Hxavwfrdy82axzQUzQY2+hz +t+iCTWx4vvCZDTrrrMaxep7S/GGdM0T6ffo9u+J3N+v5lfQ36vdKjR16XpHc +qXG5nvWS2zUO1vO4zmnS2J56vxf07E99j9wneflbyRMSn4HN3FMtNYbB8n2F +z8xk2yT58+PEey2Szo80zk/sX0f42BH+Mj8zdT6Sl3tT+zshbHgn7OCeWiPX +FhW+g8Uaf6JxUINj8Z1GYwbcg/G+wPm0steSv49rzVKtmavxZxpHaO2kkv05 +FtgjloMjnoMid4kJ3DA98u4pre/S+p8Xzm/2IAdbcp93t8alerdOOssK5y9c +BucQszmR+0tl7yOS741cRAbHH8UdEkdy8engDc5B5qyRFb9j/uuK+Y3cPzyW +m4+OacyE56rOqGo8I582psb37dL/Ssl3w3NTnPWM9tzb4Px6T+v7pHtE457M +87s1bte7YSVjGJvhDewnHmvjHb6eDH//XnEekl9wAfnxR/I1tXwdOV3Y50er +5tGB4NIiNZfBY3fq7COaX6M9Hqh57nfSv09yi3TGZ+Yjzvqq5pr1DJXOW9r7 +PO3zCT3vl8yF75c+5v6jwf9wNr416/liZrsPF47rhxFbsLMsOAyOJkebdebC +irkRLhlatQxXrQ1deGNZcA1xGCRb6qnPHhs4A2P3yubJWvt9jXO0T5vmN8mG +b2SOxWCdVas55nnN934m4vxyZi6Ck9py15qFuXF0NrgCvIMHuH942THn3sEU +vAOu1uu8V+XPKxrPrzvPm+q2iziTU5vCP3DC/dwT93hH3NEL8ExqXiPfT6de +z9r+WIN+Z902TNC69Zn97agbm/8IfKJPXpPT4JN69Ijkd8vOed5TJ9DZUTWG +Poq935O8XHrPKw4HJS+V/Jzkf+qsf+msU5nxujbuiDzABmKCHcjcQ6f0btNc +k9a+JPmbkj8l+XNlxxx+XlJYfjliwDvmv1b2WVP0fCY3bsHvzsAaHD82M8+t +yrwv+6+UPLduXtyALDue1Pyl1CbJSyRfIXl4YQ5uLrzHweAxah3cjl+nFLcV +/4fv7ZG/o7XPvuB3cMRZYKkfnEc+s8e6iE8992/qxkit3ZP63YW5+fUxzY3O +vF+Xxia9Pz81t8Jd4A++2tVoPoXP74l6eV3k9pHA0Tu57/ivGvflrnP7Nf5N +z1HJh+ClinsAsPjvBnMU2Hg99dzQ6PuORB3nDrgL+GpUYQ69uTBGpsQ8HHxr +yMSamC8I7DBP7kzMHK/uzJgAG+2BX/IK/JDbVwe3jIh1+L676r5wZuH74x4X +a25v1TXpIc1PyZw3WzW+WXWde1Dzf666xt9fOPcnRv6TX92p68qQurnl91X3 +gvDK6uBB4nEmM48dCi6Dq4gj8aI+UCfA6NbcfVFPbvyBjUskL68YW71RlyaF +X2OjTsIzcCb2gSVsRIY/x0edRI960R8Yg3tPBT7hLWJFHXwtsw/TM/e29LjE +izl+sw9ccXvsT7+BDG/AE/AFHEUdHhR8C0aYBydpzefBl+QjPSr58WxheWFh +m8gdeGJBYfnpwtwGxz0ZvcotVeftvpDpZfCNPKIGUJeIHXGjP6VmUA/Ab1vY +uSr62Otz47C14t/fKizfrXFe3T3TE3X3NeQSecSZ2MG5YJWeHryC7WkV45ue +BpzAw/Sq9Kz0qNRiZOrxE4VtnleYU+CTCyLn6JvpxRYFt+P7bNkxTfKsumsN +9w/+wRN1YmhgYHFqrMLr2yvmWurwNVGLexqtTxwqmd9vKIw19od3wHd39J8D +YcP8+K4Bu9QIesvOqDvj4lywwXx74KcjM2/dkPn9ovAFffDD7/7IB3KBnnZ+ +9EqvyqY3ZP+2wrrjAnvUWObJg42FfewunF/0BFnwEjKxWRccDK/SK/VUnDfY +My5suELrL9b85YW//5AfDp6Fb/ty93n0ex/k7lO2VZwTqwrv+VL09l3hO/3q +jorzlr6jt+K8fL3w/PbA9qKILXy5NHq8dYX3X1u4R+uuuNf7ZWF5hcYlqX0g +nr8pvP9rhb8j+M6/Lb5p7oo+nxoyMua7o+8+14+PiFpGfQCj1IironcEt2CR +fpFYMIce811x1/ADvQyYIyZ8ZxOjG+Nuz30r8P6m6Dc+DN3ZcS/owmP4tCQw +DE43B7bx6y9RQ0dFTcSXW6K2wgl896GHvz3Bq5fVHEPix53CSz2Bf74/wfSu +3Hu/HXvyPXcy1lAbsZ+Y0KcPRCwmV41X8pAYUn+J4wV1y2/E99mk4EnGyYFv +8pE+mZykXzsdNQXfJwbO4VDqC7WNb8qmqO8vRt2n/u8LHsJfvjXPi96bHGyp ++m4643sQTDZHLoCJK6Mnol4fjW90+O2Tddv2h6p7hxMxzzfi/ogzfrSEL5wx +OeLAXEfgeW/oTw8c7g15S9Rcam9LxIQ92qLnTMKu3eHXsOiJxoSP574tuNv/ +5Xng+XTwLbxPHaD/hwPQgRPAC3uOidoxOurIrpox9lzm3qcvsMq6rfH/Bt/B +/LeyM/hkT+zTmPl+ZhS+k33px7kGRjmPmng0+Jd7PBZ59196+qNv + "]], + PolygonBox[CompressedData[" +1:eJwtlmlslVUQhr/b29t7v3suSqkKsim2iokxKqK4BdEf4i9RcQPUKKAgWwVM +jCIILtCCC2UTpNayl01aKJSi4MamMVGWiKIge6AooBGChqDPm5cfk8ycWc6c +OXPeOR36lj48LC+KosVQPrQxHUW5gihqBl2Si6JMJoq6JaLob6ghRFFpNoqe +wjCgfxDdfOgrdD8i1+XsI9/aVBRVYV9BvHeIW83aQnTDWOuO/Wb06+FLWGtP +Am3RXwNfS7ztxO+XjKJecRTdw36dkfdjfwO6RdjMw7aSmFOIPR+5ssB7lCGv +wGYK8a7E/wH4D6AG/NdA24i1hpiN6PYRbz/734a+lnwm4JND9zxrNyZcgyJi +t4aK4A/g8xP6FDE+Za/ZyAXwL7M2Fr6K+BOJ1RJ5L/7boe7IX5PTQOzPEWM1 +sSZCw+FnsF8ZfCuoEHkl+cwNrpFqFdA34j+QtU7Eas5aS3RbiNeiwDkpt1Xs +18D+O/H/AdvPgmt7Hp9ybOdCnYg1ibVd8C+i74FuC/Ln8PXQF/B/sfYm+heQ +b054j8uJP5W1ZviPw+Z7+HL2q2C/rsh3Y9skgp8PvQe/NOOz79aZ8F+X8Vl0 +Z7q7ccQ4hX419ouwn0C8yUnHLIM/y9ppdDXQVPhV0J0J57gavpiat6PW0yWr +9sQ7if4Y/oeQ/0N/BP009CvjC3eOvBaamXGNVCvFuArd5rRrqzvQXdRjcy7h +nlJvXZ1zb+pxFKF7A/s/0TcSY1lwzVS79ch1wTVX7Ucjfwc/gj2exfcg+e0m +n4GsjU04x/PoRuDzBPJW7L+Ej9kvyX7LkT/U3QTrrqCGlfhuCL473Ynu5jly +apfnN3R97J5Wb1dBE4J95DseeQf8H9icIJdTUBrfGvZbUOAYG5C/waYvub2C +/SD8k6ztwTaLTXNsuwXfvd6A3sLPsd9GZ50Zfgn6tSnfse5aPa/efxubodiv +UI+mXEPV8hPkOxJeq4WfDC1IuQfUC6OVD75N5HeUXKbHfnvfsv8edDtY24Xu +X+gf+D7o+6N/FX0b+LLgWhSxx3j4X2LfxS3IY2JjhLDiMHJP4QVrVcj9kGfA +P8JaMfI04tfBb+Q8XdPGjLnI04J7tQR5Cvzh2L3YBXk//O/QceRR5HMcfh90 +BPlW9L/Cvx/8dtoivwu/ifj3po2pi4k/C5tq7Acjz4xtI1vVqAI+D5vrEsa8 +SsUSpiHXo1+oWgbzeiN6K2uCz6I3lcJ3E2sXcT8XQ5exdw1rj0XOQbloTbo6 +YlTjW5hzLwjjipFb5DwLhHGtY795vX3FWKL7wmZxyj2t3laPqFeeoceG0w+P +ZjxbVGPV+rgozzNAs+Cj4LsRJucjv66eT9qmCXkU8d5KukfVq8IEYYMwviH2 +nevuP2ZtYvCM0qy6j/zmCati9+YA5G3w5cG2wjRh2ySoOuUZdDrtO9Zd60wz +gjFGWCMMrod/jfj9ib8V+Qz2p9njLLnej3wX+nnBWC+MFdauDMYOvQG9BfWM +euco9gfha4KxUnequ10ejD23Kwf4A7Ft27A2hv0eYr+n8z2jNat7IPeG7wUN +zvqMOqvWhiDvQT6sfkd+CXlr2ncjzBJ2NSD3T7kHD8H3Yc9+Kc88zT6dUWdV +jVSrDrFnmzD0cWEp1CryDN5OvEb0HZHX4bNObzntWS4MEhYJo4XVetM74QcQ +86aEe/RS9Muw75nyG90LfyxjbNCZdfYusbFBOT6J76Csz64eUa/ozevtC+NG +Zl0z1U5v8jd0Q4OxW3+eIfCzg7FYb2yWeiP4b6OclFtp8GzUn0Z/m+HBWKsZ +q1k7Mnj2CuOF9YXBfw31yGjNl6xroRqVZH2nulth6FLNA9Yy+T6zzn4g+C+k +GqqWc4Lfpv4I+isII4QV8sniOyfjXhdmCbs0wzTLNHM1e4VJwqb2xLgW/47B +/En0J2JjlLBKPbI3NiYKG9PEyGQ9QzRL9KcpJ346a53+HPp7HIuNxcLAJviC +zIXYSc8i/Zn0d9IbOZPxn09/P2F4b/j/AQ/+d6M= + "]]}]}, { + EdgeForm[], + GrayLevel[0.527], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFWGtwVtUVvV+S777OJY6YSqsCVUbbOpb+sdM/bWdsreNg26mPOv6owaao +aA0BwqvSQsCgDYOVVyBUA21QqOUlIAkFAYFICelAZ/qgQlApIC3TONN2RGUK +6VqsleHHnX3uuefsc87ea6+9z72xruG+CRVRFB0tRVEl5Okkio5BdkHGeLri +KHoOH2og+zkQz1iIWzH+Ecj5IYray1H0LGQZ4zsx7lmMr0ffU3hu51h8uxHt ++fh+HN9PYO4k9H8J8izG/hjtu6A3q8Ic9H2AMW2xxozG+2mMeRLtR6FnIvS0 +Be3pa/g2Hf37Mfc82l8taW3KaegvYb3pGN+Mdjv6Ejw3o/0+xo/BWnvwfgLt +2f52BO0HytpLVxZF26FrG+Q2rLcH/VshX8OzE+2NkHOgvx76fov2Gjxb0f8y +5Do8XWi/CjkP878H3c2QAzjTVPQ/gznvZjr3LOjoT7X/ByGPZTrT5DyK/pbp +HNcVUTQeuqZh7q8hT2Jf16F9CnMOcw7kPZDr0PdDjL8Pz72R2vRRX0n+ot+e +wPwZGLca8gj0fwH9Eeb+LJPt3oZ8HN+mYMwqyCKXX0KuvXLPf8/knxV4/ov5 +uzG2wWuVoWsv3jsxdym+T/Q+TmPce5X2J+Y/hb4m6FuGcWsxfjHkXzKN+TPk +mrLO8U3P5TxigGcmbriPhrL0PIxnB9oTIp1xhfHThPYnkJ1l+Yk2GVWS3gz7 +/AbaTVirlMoOtMc/4PsjttcijLsbciHkeuy1l/Ny4YfYoa71xAKeukjrcH3u +41sVwtO4kuJmGPZRXaF90k60Vw3WPYT3/UG24FleQftThexPP0zK5Rf65zOF +fEcfDiuEB+JiEuQcYgbPAuiZB/mvVDH4Uaw4PB+rTfyvxnsHni9HV77dgvZP +ctnkoVRxSv/xXPenitnvQl6IZVPann6g7blvYvKU/TSy0HlHQM6HbMFzfUlz +OLfetmK71j664HZjrtiehfMegL2uqpAPLuJ7I+bMjcQRqyrlj1OZOORkJl9y +/zzHO5l4oy/T+jwvsXQTvg2D/CPsNsB9VOq9PdZcxma3ee4OcmIiPqFNaSfy +BG3FcfzO/byeSc8WyHOQH5bETYuCbP18EMdsq9Sa1EFuoZ7NqWLogVTn/VxZ +ZyZ+lxvD7xh7xCD56oYq6ftKKrt+gv7RQXOXov3PCnEC/bM507qv2U7so7+u +gW8mY/xjQXYa7ZgirqmTtiJ22/HtjUj+oF+OQ76ENTag703M/SLatzFXxNo3 +uW5VJLs0muu4DjFKfNIXxATzAjE7yT69FGtcI9pPE1vQ+VFJccR97LKv3owv +01WU5trbMuynCh2bMKcd+6lNFWfDcb65iWJxk/ms0frJ0w3mhIluP2yeWudY +rsHca/C04P1+95M3fgRdE9AeF9S33uOPJrJTR6I4Y+wx1ji23nmQ/ecdj2ks +29FutB/b5KDbHZOMzcFv5JTRqXLYQchfBu0pK4TBRbb3sET2Icb2l5X7iNuq +RLzBXJKh/dOycMXzNZO/zHP0G7luKDkE/SsjzaOeqQyJRJzD9hC0Z5Y1vt15 +rdm55jaf5UnmGvT1JIpv2pox/ifjhzh6JhEXvh607tXeE/VRL/FD3042fnpj +YeMxxEAH/P8odcLfK2ON5x6mef4UtKsxtgntFyIGnnDAfvbN9hn/kOh7C+SR +RH1LEs3lOTnuastVPu9K88XyIOwE+KICfXudP+6MlMMYR8wDdxnHYzL5kf7c +5RgjbvZCz3yeEbKnLNxtNBbajYfngjjjZJBectqdlqvdXuL978aY8Vjjs9jT +5wvN7zAOFwTF+IVEMbjIfs9z8WpbJozMtN0OO9cxf6aJeInzLuWKxfHoezsV +N307U/120PzVimeZ64B+v7OuWwzdZ6qE1aXun2juZa1I/m11DuL4Oo9jjL6b +yKZ3F8qtjHeegWcivwzapsU8Q37ktwWuyzpdK8SuDWqdj7rMCeSDra4tyOMf +us5cG/Sddd/YXDVkbS7uJod/PxVHrDFnLAnyycdBfWvd/1JQzVCB8b8I8s25 +IIwwt/U6R5x3vh5XpRqX+/hVEH6vLWTXVtdg5HjalPaclis+thfiMeKK8XaP +sUcMMt7J18TzNte6o3JxCP0yq6T4qvWeOoLi/tOF8Ep8Er9bnPsGcuUkrs98 +ujKIa2swfgT2ODIWnsk/qbljt+tV+p0xw9ghxma6nllobM4xv5HryfnLM9Xp +rEtps1uC7HMIencl5l3IzUHcQo4hZ5A7mFOYBy7XE5HuN+wf9DP1MN8/79z9 +gu83jEPGHmN+wHUCubHKdwzWjaVY52AuPeV8yrF3eDzXvOR1edZLZcVWh3NH +AhtWFuqvKHSXIA5/E8QTPGuvcyZ10SZNqXLkf1Jxf6drDPJ3s/3Oe8dl7iOf +BMV2fVA9x7puE+SUXPX1iUw1wjHXdv/LhYeLuWqSfscj7Ujbkd9b3U8ckne5 +HteiHc+7dqIdul1TEQ/DY9UK5IkPrLPNbfLGhCCObgi6W9IHPw/y3UB8pa6g +PWkP5pw+33FOWC91znaOIs77XBO+l8lWxDpxTrwNcQ44kwj3L2aK1zXmVfLf +HtdF1N0TKx/R95WuuWnXzNj+2LG/MGgM76KMn+XmRs5t9t2wOtX61d4D70+8 +bzIupnou8xpjhTHziCXHNJiTuW5TpLEVXmu2z8XzkwNqXM/Qnzz7gPNgtXPb +XzPV8Uch5wXVLXVBOYnzG4NsTKzzfsQamrG+NbuSI5l7ql2zM3ZfNeduCOIY +8hrnnHQ9eiaT/RhH02xn2pg8+kSuWvZsKixTP/3I2GI/ccr8NsJYYt6/fHbH +Fe9po3xXIIfxv8ZG39+3BOVRxnRnJt1DvX/GzlDXIayRalyvtPidPDb4bYNx +Xun90ze84421HQ7YFteaI2g/1mbdrpeIQ2KQeZQcech5f75rAPLCg/4/8INM +/1f4n4X5iPUf80lrUL7sdx7kvwHah3aivh7r5N2EuYQ8x9zAHNELXRODzjyJ +vsKzj/VpKhynrhGYbxjTb+F9fVD+nOtaIDX2tgedbWdQniAGD+Db74LOm6eK +hf0+O/fB8/AsO4JiiPdX1lLknn2J6uTYd8PENVYKeX2hf1I3FPLFcOeXc86n +LUF9I9zP2LnXuOK/Fa550PHQ41xGbM42Poknzr9c75VU2/A7a9gLg/ffRHcV +2pH7zGLVvVcVan8nVV3B/RMPb7m22+d7U+rx1Jn4jLxPrHOdwHse8zr3NKTQ +mKLQ/yBi7ffQMT4XV49J9Z+A9iQeGZ9HXLPNILahc2RQHDCnMxYW+9/LUv9P +63IeZHzsMLewFmT8rID8t2vWrxfi3YvmXv4r6IvFu6yvmWvI01yTMXjYuf2w +97PL3E6OJ6aJ7ZuD/mHxLDwT1+Ba3UEYm+w6gPva6fqNtcA410usDY8Pcr5z +4su5HraZJ/s8ps71AeuE5qD8Tx/y7Htcl5B7VwT548WguwG5+Q3+C3S8MG6e +ThTbNwXZnpim/eNC9UC5kP6u+ErO5H9V5s3p2NvjWHdGLv6rdC3BXNrmfMqc +wnhkfN1q+5FjxlbpX9lp1xeRY5+YZTwQt9TNnMvc+77/TZzNVJOxBul2riiZ +M+m3Af9n6XGeok//D52R2+8= + "]], + PolygonBox[CompressedData[" +1:eJwllUtsVVUUhve97bnnnHuukChKFKSCAcQBI40jJ0YTg5gY0MSJJalAVUop +LZSGEGFARWsiPhAs2IJtEKMUKI+2CoiUgjzkkaAiyEstRY3EqIkDg+D3+w9W +zr/2eu29ztr/Hls1b1ptPoTwOlKOHIxDWMB3QRTC7aUQDqEvRG9EH4m+Kgth +E/hR1t4BLyyGMJPAX8tCGEpD6Mf/OWznciGcSELoQ5+Ffwf2K+Cv8bkMnkFM +HbHryLEZ+3Ri1oKXYn+Y2NnYG7H3UrNA3ApiGtDn49OMfxf+p1nfgf9IcA/2 +neBTyHniJyE56m9D34VtNPnGEj+e+L+xHeDQE8Bb8bmAfr5ALmr1IBF5XyFm +Pv7z8FlGvXZqnGR9OVIHXo1/B76d2Jsi96gD/EHmXqmHG8A91J8A7iNfL/jd +zGdVD1eD12fudQNr7eCZSC36A+j11HoPvS5yT9eAj8XuzWLW5qBPSdzrXzjP +i+z3zcz/phP7W+DfsDcHn/kaeAN7bmHvo9AfQt+CVGHfgv/7+P/OHm9iewRJ +sW3Evx3/5ZoRap/GPjnnf/gNeAwxJ9BvEF+Gbz5xLv3TVmwDsc9Wj34b9t2s +HYi8p8/Ax/Hfz97z1Iixd+H/NPaTrF0Cr0Imoh9CPwW+Ts3hea9NVi7kKLiC ++GpyLcHnLvQf2N+3+B5mrY39jafeXmxV+M+N3OPnwVPxuZC3zxPge4v+V5qp +ceCbRc8WacIN8CRiAv5jib8fvBGpYWkH+ofglti2AXyOgx8v+SyPIUtJcpka +g+SbQ8wlcEbOtNxn1tk/1v6w9aJ/Av4+9ewv0p0Cn009m43o36WeWc3u//+Q +/JXkm0K+IeoNoh/AZ1/OazOwDWPtqZx7qF5eQa6W+QyD4E7ytZJvGXoz+9HB +dZdS1oZjG4Yk4EpMU7GNRh9RcE/Um3zJs6B/qn/blfkstbhsBkfYc/j/jH0I +e7n6k/NaAVxC4oJnflbmGqqltVuw3YfcU/AZmvXvkJeCe3oRPEDMXvQjxB8E +/5i61zrjT+BWZD34nGI4XxM9qS73zGv2n0x8Vp1RZx2DjARfY78lbOtSc1kN +/mvBa5A29GPku0i+afjUqz4xXcT+S/4r5H+b/WzFdy57WgJeic9X+N+tnuZd +owL8UeZZ0gxsAp9JPcu6c7p7qqnampkSuSdqjwX35AVqf5GZG1v0D8CfZ+Yu +ceY+8J7MtcVpe8GvIm2ROWpF5jumu6Y9VZKvP3MvdcdGJD6TzibOnI5egf3W +yBwgLjgce1bFoeLSI+pxMIeLy3vw2R+ZQ8WlX8aeZXHondiXZ76ruqPN2ps4 +OnJP1duVmbntQfQ3wNuR3ejz0Lsz91i9Fud3gxsy92IP9jOxOUJcoZ6pd69l +zqUetKj3yL7Ie4wS3wHdhX70Xmxp0f9aM1QEH439lugN1Ft4NfVbqDdMb5ne +HL094piz5PsnNvfqTupuiuPF9eJkcfOfiblCM/wHOElcWzNTQ/2dmc+qPe4C +VxP/cs4zdp1aRfwHInNsn/qR+e6pR9syc7i4XD6foiclc6/uoO7i7MxcrZ6X +k2sc+h2R31S9rXrz9Pb9hd6N/dnEb4XeCL0VcdG91p1Iir4zujviiFHYryZ+ +q8TR4mpxlLhKM9QUmxPEDaq5ODaHikt1RxeR75nEtcVR4qr/AOFXMSQ= + "]]}]}, { + EdgeForm[], + GrayLevel[0.589], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFl1eMVWUQx8+t55x7jsgaJYpl2bWwihgFy5MFQV2wm1iwgFFRiTUmlijY +u1kTFaOxRR58MQIafaCExYCIyC4hsSBigomFRDC7C4iJoPj/+Z+ND+fO3O/M +zDd95nTccNdld1aTJJldSZKaYEN/FjeT5BnhV9WT5Ao9Y/Vuq84vEd4nfFbL ++E2CGyumuVb07Y0kmab/84Wfm5n2RtG8KdjUc5TOb9YlNcmaov8rdM8cwVTn +BzV8B/IuF80PVfP9JHi65C8QvlDPGcInJr7zyrh3t+hvFz5StCur1hud79bd +1+j913mSTJc+db27Prcu74Q+hS6/VfSvCL9X9E8Lfqmz2S3Lnya+1dKtKt7J +4jmmYh25d4funV23PVtEMyR8UM97ZZJU0EO8XaLdpOci0fc17Vt8jB3zxdMv +GQPCD6jYrk01y+eeHuF79Lyr81L6zBf+hvTfm/t8BD4W/p1opwrvlNyKZF0d +d46Ne0eIt6Xz/QSrLdNUBLurPr9DdA/r//mCndJ9c8V6XyzezTX/Bz9S746X +zicVSfK3fDSmgmKCDcd+qv4vbToO5MF+IesC6dahs0sjN54Q/+eSu0K6H1eY +/1jBmujbhB8hfJ9gh+gnib4VMcKne1vOl1v002g63thKjiCTPNmld22Cj0vO +C7n98bzgQNV6oMNOwYl6ZuEnbBB+Cz6UzLVBx9mLkrlI9BN1vq5hniGdPafn +ZZ2nqWP6bM2yeN+r8wU67yO/Wrab2CDn1Ib9z/+3c/v+LcEHpetLeveB8EV6 +PpG8v8X7aGFbsAm9OsOPBzUNyY2Pa+b9J/F77OUuZJMzfZHnxAa9r5PMmaJ7 +R/fMqrsmpwQtPJtFf3/L9vWn9kFP+OEbwf6KY39o3XfPpQcEHCWax+TH8yR/ +l2BTvk10b11wf+n4S9X8Y1ND8oo87YtcHZ+57tdkjn9v5MA5md9/Kr6Z0m29 +7lsl/T8KX+EzdJhYd333CL5Yd0xGV5wX1Bc5j434BH7k/JXalz1Ra0sK59oL +Oj+jaVl9wdsTMlcIXx66dbRs94e563hh3PVuafweySka7mXw0Nvw3dzoQ281 +zHde5CP5833NtYd/1mfO85WSsyG1jvNS19maqDVkEX/02NWwfr3RB+DFx8SS +mD6fWo/RoT/9a3X05O7c/h8fMdwQOn2RO+bUfVfq+O0JmxaELHryxug71ZA3 +T/KXVW0ncRkRPeFCyV/StJ8nxywgjtjQG/5Ft76YI+dGL+VOfDKy4TvPJkep +W+4sXbdro0ZOlsxTmvbn9qpzfUrotj30ox7wH36ZIJtOSl1bQ3oG9YzTPTuU +D0P098I5tTN8Qv6Sz+TpH3q3UzS7Cp+BYwfxaYsY7W1Yf/IY+5C5PHoGvWV6 +5Mbc8BV8A9GvmCvMCXrB75n13545bvWwBV0nh8+Jw9aI+6+iu4TZLv+c2XRM +ie3Pmf03Q/k7EPOROfmYYn2O+B7S+eO55wLzgR7HOTOyzNzvj5DMX3OfMT93 +xHyH7v2G84+4XR3xWDTce5u2+/KGZxC1RaxOjXiNl9wjhR9f2p/4Ej9v09lv +Tce/J/iozekhH951uefnvtR1BB/2b6n5nNmNX5FPvmzKXDfUMTKmR/+E7/uo +wR9qxpGzf+naTMT3bW55c1LL5g52jg1hW3fsMcSVmN6aea4wc8iFruh7B2a+ +d2XhuPVFHeFD5hx+TEvnOfnOfKSvok+ldG7tK5yTHdFXt8QMYhaxa9Dr+qPH +0//p8/S8S8Ne5CGXO9gpsAdbJpWOH7OUOqZXsTvRa5eFXfSAtuh77aIfJVmH +l64pcHKFXKdfULf0EHT+b46Ufk9O/RY6TAr/g2MjMqhLet/w/KMu7ou8fES6 +LS6c/63Msxw/r9LZWaXz6n6dfZM7Rl8x+wr7v9T7pwr34Sep39S+WSx4cNO5 +Qi3Sb+kJ1AN7yrbIQ/KWvMFH7ALseeT/vdH3Dylcm/CyZw5Gf0EO+9RQ9Bl6 +D/6aGvbxf370OvyCT/YFToyA2wI/MfW97Jbny7YrZeMFgn/k3o93Cz6Ve5Z3 +yd488x4zoLNK5vzeIHwwdw0PCa7NPe+/FOzPvZuuz72LsZNhCzi7BX10bMwG +Ytoe9gzvhEXQE/OumB088JCrwzvBmJgFo1J/G5yWeYYyS9kL8Xt74ZnK+U2F +dwtyNyudB+TDVsHlqfPzC8nYUnhH/1FwaeGdfllhvdGP/oxNSyJGxHpp4HNa +9u+K0jMK/dhBiRn05Bx3Lo64ozs0zLJHMu8Q3eR49N9pUR8TYta8VrjOXxfc +XXh+/yl4XOl9dBx8pfPs7NJxIl6dhXfrzTFXv4rc3phbL+xhvt6R+ptqau7v +B/a8NwWHMvfiHZl3HWj5diEnyI0HZPeY0jXQIXhzxGRPy/s6e/thpe1mD+ab +cYLOx7Mn4+PCc+2zwjVP72He8O0DTq84ETtF82rs7APxfTcjc62z7zBP2FGZ +Me+1PLvYMYf3zmbMWeRQp9QTdUV9EQ/44U0Lf6M1o0+wB8yL2TEm9vMDQgf6 +GzO1HjTouz70J67kwajYh9lryV96fnfsBszroZCD7SOjp5G/4Mjh25H5XYud +hW8D9ne+i/iW6RVcmHvHXiA4Tnp3Mvfkk9sK+3td5Cy5SK7Sh+HFl/jssIZt +P6YwfrTgjYXtvEHwgdS6sAsQN/w2L75D+SZnj2C2MeO2Zp7Z+Is5i+7og48e +TN2n2TXoN9QP/p8Wewx9jJ50RfhtML4T0Zk4fhy7H32DvGIfO6Hwdy7fu+g1 +rvF/LEbHrOG7f031/2/O9uAdiG9x/E8f4hwd6JdtMeP+BTZVB4o= + "]], + PolygonBox[CompressedData[" +1:eJwtlW1olWUYx+9ztuN5zrkflUUNQ8s5S2y+ZEn2qVmG5LZeJPAlEw11MSHt +U02X0TStFCcURYEvJNiXqFHUB7OcYS1ftlaBljZhhiy/aHq2uSgt+/37C+fi +/K+X+7qu+36ulwkrnn9ybTaEsBUqh9I0hMmZEHqhkeDNhRDaykLYAW0B55DN +xy6M4Ac+l4TQj4PRuRCa8yG0I+tGNwO8oRjC7fB1+KpENh48D6oFd+OiD5t/ +sPkc38BwDXwdMAn7U1A38eqxn439I8T4AH0/8c6DbyHeemzvQj8BfiI208AR +yoE/RP9uDOEsNj9m7aMO3VHOfwk/k8tOB59Afwy+Gn0N+t+QnYOPnH8B3dTU +vi/pjuh+QnYE/BznXyafU8jOwC/gDmvQfUvMLs7O5Ext6jM6Owa+Cr4Lm9e5 +a57//fBf8X8HfAl/ec5+xJ3f5Pxn+GsHn+f8UvSL0K8m3qPIFqGrRHYa3Xpk +Tei2ImtFtxBZI/wFYl4EX0W/Qe9PnAOpc1buw9hfwX5EdOw+YvaBWzmzA74N +2oft5NTfvgp/TehakK1GN4DsMue/idY9RYyb0b+Efm7GNaBaqCv4bXYimwe+ +kDi3LLSdnJqwX4i/xVBD4jvoLiWoAN+DTWfWMRVbb6q3HURWQt8MzYK/D5qN +bhC+I1j2IPxO/O3FVy+yfnwdjs5V36gTXMT+YfgM/r6AXwW1w98ErQTfA03F +dhp0r+op+q0uk89G8GH5zLrmVHtd+DsEP4TNMPo/o3EH/gaj76y7dyI7AP8H +9m+r95BdSvzmenv1yCvwA4nvqm+ib5Ok7r1q/OVV+6lrqwKbu/F3JzQO389y +56Xc/TjxXguWTUK3Df4t+Cr4mug319vrDj3KBf376K9yfjr6NvjqnL+BvsVx +fJ5UPRD/KLgHOl3mnu0CV5NPQ8ZvNhFcn7h29Y31rbOpc69AXwa+iM9/g2u+ +Jbqn1dvy+T3+hguuVfncBH6m4LdSTlOwfwf7mpx7Ur3ZDi3IuefP3qj5yhsx +FGsP55ejW4O/3eAjiWtTPahe/BvqId5efGzH/zJynhMsWw7+uODeHMt9quA3 +YVPB+e+QvQruKBg/gP4J9J8U3KuacZ+CSwX3jnpkI/gE9LRmIbKT4FGJ314z +V7M3Fj0rVcMpeEV0be4ivy3ggH0vul+hH7DfHK3bg81a7nIo9SzOcecl2I6P +fnvdaV3ed9Rda8n3L/hVxJhf7hmrWbtS8TOWNYLHpa4dzfSx6sXo3lANq5aV +g3I5A2Xgx6A/iG0Jm4HonJSbZvDBvGtUtaqZpdk1lHjWq4fVyyF1rV3jfAY8 +J3WvL0H2ELgU7Vs9p95Tj/3fa8iugB9LvMv0RqOxX5y41zUzNTtvS72bVPPL +tFvI540y98zv4Fujd4HuoLsMRfvWztPuq9fMLfNMbgBfj871cc7P1a6J7nXN +mP3gkcQslrtGVavrip516slm8C8F14Jm/s/g96J3mXZyI7g6+m21g1vy7nn1 +vnpgRvQO1i5Wjx7j/LaC3ypDzCz+v847N33T7sTfXN9eM+/+xDNNs0013Rpd +46p17Tjtut3Yz8p5Z2p3Zor2LZl02qnarXoTvc2U1LtVO1q7elfBvac3GFV0 +j6hXtHO1e7UTtRv1DV5E9x960BxT + "]]}]}, { + EdgeForm[], + GrayLevel[0.651], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFl2molWUQx9977jn3vMvJezEF7UN6k9TUckmsL3WvZcs1RfJqkLZIpZBb +n8LUChcoKMJIEjRbbYEWy77lHuR2r1aWkaChlaVCmbtRmf1//kf68DLPmWee +mXlm/jPznOaHHhs/u5QkyaC6JKkXnVskyRotPsiSZItok/h9xD8kofVa99K3 +XevrKknSTfTVapJ8ov263Hx4YyRzi/SMlMytosMLyy+TbBfJrZLeldK/oUG6 +Jd8u+Vbt36jfk7U+X06Sw1r31DqreD1UNtpqSbJL9KD0fKHzV2r/H62/r/d6 +rPaONFiec4Nl9xrRZp3rEXpbJdOs/ZaK/R4mma7yYajogJp5e6TzqPb/Lfvc +LNEm8Z6vt8+sV0lut86N1jdNMuvFb6xa12Gd/bVinw9I70rtNxS2j074k9Ik +eVoym2r2BZ/GS+6U5E7q9znR+fgs2e761krukM7+nftu6Cc30COxbtKZC5Jp +FJ1XWP73qu2ik7tj/0L48FPJ9+SOM8SrSfa5escwrzj+c6o+93Pq/OwsOUcz +xW+X7B3Kw22F+Xur/lh/LfnvtO4AK/L9q9RreM36Vkj/sLJxBt7eFz2m/ell +4wdcdAQ28O9bybTIjx2Z/cEvZKfXWx5MgI3VopeXzH9Zv/9IrfdYah17Qs+7 +imOb+ItS33tdg+/+jb4u8m1HnffJ7SbJd2bG2Zei/bV/teTXiP9oal+fkb5+ +DebjM7lEDpnHpX+Y6I+SXVj47gdFSzrzknQ+J51zq8bvL5IZonj1lZ4ZWm/P +7HdHZlwfibogNv3CFjb7hj8bReeBt8T2wf9bifN5JOqiPXyDf0XZ8QdrE4KC +N3B8LGqZ2BCjZeL/VjUmnyhcD+hCz4Opa3+q/NxXsp6KvrUl45/1OcnPLjs/ +4A38o5N7nQ9Mgo3eVZ9ZHTm9THHqXrIfyOML51lTc9Qe9Uj+kBlbZx29Qs/U +qmPyV+7apZ6RH566Vo/qLqtr1jlfMk/lvtPuqmv8norrfHFm3Qtz29kVtpbX +2RZ9MotaJN8nC8e9R+G6Ox/95KB0raiz3LzcOP1S5+fKnxHam5m5togjum/P +TAekzu+n9c4B6+5xt14RN3ygrl6puH8vLrxeJPpZ6OsTscJ3bLdL/zp6sPQv +0dkXy8Y9d14Sa2LWGH2P+h4RfaB31DM2zxbGZqf01Cme5yskyzXHupPYZbZ9 +QrSP9nrqDlfVbGt2nfNNT8uifzIXWqKOetdcV42p/eEsOAXj4Jm90/o9POqW +/JAnsJOHzot5Ee9UzBrq72SssXUqZgMffOYBveTyqAVqtzlwtShzDZyNGiW3 +9CZ6CP2DmdQZM5Oec3PuvA+U/x/X7N/nNdvENj48oBhOka03pXNzzb5PSS1z +MnxjrrZGTMDQisgpfWhD1AK4AB/g5Mnc2AbjN4i3tN4xWhC9iJ4EppCnb7RE +LNFPTVNf3P3S/GuPu9EPxyS+67iy+xc4BlMviD4ru8d1vil1DNZHHOgzQ8vu +Ca015+xUaiyBI+7yTm7sjdZ+79w96aPMGCE++/X7ptyY3qqze6VzYtn+bBbv +7rJtDkodH2LfI+qxp+i43FjYKJ0dcR/Ovif+GZ3vmboOwfko3hE1z+iBNfcx +8ED94C91hs8tuWt7P/6k9hnf79KZVmJYizuVjHNyx9lLmASL4I38sGbu4Af+ +LJOejSXXKTHkDUUsiMPIyOstomcy9y562MDC2J2SOQfkYkHuWBPz06l7WxE+ +EbNxETfojsAuGCamvWLW9I8ZsjM1f3P04K5RI7OqvjsxeFW235YPr2XuA53h +P/lnNoCBauH1+qpnL29NbG+J3IySnqbcfjaKrs6M1w8z5xYMEP8z8XbiDUU+ +d8SbkBwSQ+LJPdEzO/oU/eqE5G9L7duFwrGfHHOfXng6+gm8EaHnPvlxp/Ym +i45Mje1JuX2Hz+87M2O9Lft/vnLfqbnj+7DotYEr8MVbjTcbb717I98dqXv7 +8pih6IVPDHlzUPPTJXMuMy7/jPnLXMcm924Ln6dVnAsw80bU0uuZ3yVgkJo4 +kPpdODEzXtBPP0HH7ogD58DfrnivEONHcr9DwT+4xs6qsAVm0Ul/bIz5C1YO +hi1sUjOc/SH1jKbP0G/2xP8L/mdge3jchdkMzl8WPZ655zBLJ8QsY6a11Cw/ +J3W9bg980tOOx712Zu4dF6qeK/S9QTVjEUxuE29X5jvyRiMfxP/+3P1vb/TA +rZn7/rbMuDsU9UJvAp+tuWcGubzY9xocz7aYV0uj3snzvqgLsADO6cnkck3M +/SHxv2Zw4J13BTheF29lsEFv4s7EhTPooSap025xd970zKvThd/HvPeuL/xG +I1ac/w8QBMmy + "]], + PolygonBox[CompressedData[" +1:eJwllVlszVEQxs/tbXv/y9WK6EM9oAShtbRqeRG31haNWBNbiC3RUk+oJWg9 +SIgQQqJq3xKxvxWhEmupPSERUSKWRCjRVlD1G9/D5H7z/2Y758zMzZq/fHJZ +knOuFElGfgXOrYk4lxFzribu3A8PwWAHZAX4Dd8foydSnRsPX8q3nuAeSH/0 +bfC7iVMSdS47dO6279wTcGdi3gBfx6Ye2wxi1ILP8C0D+4vYnAVXEq8Irgk5 +SS2D0D+mOPce+Ui8amyOYnsM2Q92xGiFe4beSu6N+DTi2xGZi28lPvvg86j/ +B/w1fG5G9W0T3Cn0C+id4LvgO89X7SXoM/B/gs8dYpWhb4Avx6fVyWd1qDux +u9mOHIdvxn8r3BFsmnzltNxV5NuI/VLse3H+OmI+BC/yVWs/+Hz4hlC21dzX +a3AO55sMzsKnL/gg9mXoITHbky8dmzbwXyQNfJV8uU7f2qOPwGcIvvnkGA4e +F1et9dgUgQdi8wWuA5IHjhDzPNxOzpAE3hNTbXYHdhfpgXJP59s59ARnuEw9 +V+FnwI0kRgHcBWI0wn2j3i1R9USj3Qd8AvwdmyZwX2xyiTcVm0L4B8hzcDE2 +9YbhXxJ7Ct+WxhTTYlvPDaD+A756YTHx5oTqWetde6PP/FZQU3FEPXcO7k9M +vViH3MR3LXxpsmqsQP9GjEy4gHjfQ/WA9YLd0VdwAvsacBU2Oeh1+DyN6kx3 +ffWI9UoL31rQW0Kd1WI2g2fCXwEXYjMbfBibeUl600PgPYF6fzCymvht1Psi +qju5B5/tKXeDvWegnrfetxruwOeGestMztud8572NVvvyLcGbpWnXrCZTsAX +oU9LVo772JajD8U3Qc0FoWbaZtt61no3O65etB7pE9fM2OzYG9lbjQpV+31k +NPh3oNy4uMXUupUcu6LqyQL8+8U1C92RJZ562Hr5E/kHe+ox6zXbObZ72uDv +RTTzEXwzQ71VHvFXwK9E0lK0c26RaxryNkk9OhX809fbWE9sAo8hxyTy1VrN +4Fee7tZ2ju2ePsjeiN58GGf5RL4PKZoxm7UST7XbztkMXxtTLKtxNNwjT3dh +d2p3W+Sr123nLcO2W1xvtYwa1gcSw7ZDKn3dgd2FnaEBvDum3dKbbwNs3n2d +3Xaa7bZZgXrrHfZvsW8XaNZtZ6aBFyATk3VmO3tWXLFsx3QFLww0e2azKNDO +td1rZ87HfqyvWbQ7GQNODbWrLpEvBt7ia3fYG9tb3/bE2YzbrFtNVpu9kb3V +NXKuT9EMriPfnEC7xGakANsJcf3X2H/CiUA9+b83kRHgf1+v6HQ= + "]]}]}, { + EdgeForm[], + GrayLevel[0.713], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFVltsVUUUnXvvufecmXNiwZiqH8ZHagOCtFH6uDyEUltsWppIaBQETUwM +UZBiYgv9UmnEKG0ixkDVRFCgL5qU8ANNwIBR+ECefpiYEK3+aPRD+EBiqnGt +rm38mOw9c2b27L322nvOgy92r92Wd85dxyhgXMOkA2NzzrmvvHNXsHgechNk +a+Tc3VifjJ27hL0VwbkxzCswajHfhj0P4+w6zOeVnGssOrcTZw5gHMG3bqzf +wvcPMW/P665nirqv3/YOYN8vqXNHsbcucW4KcjXWn4D99UE+rMT6s9BboK+A +vhZn+rDvLuzpKcg2/T8GvRJ7YNrdCzlp+/5EPIex9gZsDJZkpzInfQDjScyb +4EMd7OyE/WnIpVgbx54G6Bshj+N8d6SYGS/v5N1nsD4eFOMY5DsYPdBfgZ0R +6B9A3wW9JnOuCme2JMKE53mWGBCLI9B/xLcJ2K43H3g/8b8Wy/99kO2ZcjEN +fbgk/PntsUz4v5rI54vmN79fsBwR+ywS/nsj+Ubc2iJhzrvmBOXuADCbgeyN +ZKM/UrzcfyOvWGg/KQq/5fCh1Ss3qyEPGg/IAd6Xmb4Icj9klLN7InHxkNf3 +zyHvDNo/F/J3xPkz9KlMudpTEkf/i4H+ECfylf6fwno5Ek+fxtr3ed130uRD +TvwdMn1jUOwbINuCzj4VdI4cIn9eh6zOiwPDBflNn1vAmVWMH/L+ID6Ow//h +IN86MsXE/cxZXFReyXHiyrwQW/o8ZjW1Hnt/sDnxpn3yhFhXmQ+bi/KDPnwB +fE5j/Vf4ULaaIpd2QN7My29yoRnfGiFXGc/Jd9YDuUN+3ROpdmYw/y2W7E2F +67j5xtw+Gil3y4P0RxLhOWF7GrA+H+v1kB9hvA19CHIJxgLo5aBczDcePF/Q +HTx7Ryo7FZDrvL51eeHBs8zZdqsX9o0dqWp8zAtH1ibj2RIr9y1Yfy0Wpp1e +ODQabzuCarw9yOYuq0Hyi/lh/1mSqqZYW8SSsbC2VuBMDfQFiH0U+0dKwn2/ +8Zu8oqwxvTbSnLid87LdG+ss7XflVAdtJeX0m4K4MsuTWPt/SlRn5D5rbVkk +3jA3xGO75Z1YDVmPZt2wJ7IfMp/UyVHyZcL2LEzk30rE9HgsHGhrKeYLIZdB +nsn07SzkC4n64JtB/Yexd1mfGTaduaHOXDAGYlppNcfcE5M1QTF0BtUY/Zut +H6th8qHOckX+V5VUh+R/v9cdtyGb4VOZPdz636jlojZTn/ojEZ70gz7M2Js1 +62eiPnUiKL8NVl+7I/VocmUyEx5vBflzw3wqgxsNuO/TWBgwXvp00Ks2P/Oq +72rrvewxU9bP+3D2fdZqKt8v2t1HLSfE53Kiet8KuTUWNt8lwoqcJ16LU3H+ +Ja911mdkead95ps+0M9qi+eWvTusGdoZ9fp202InXoyxOVWcjbb/KmvI+jzx +HbF42Sf7rJ+f9cL6S6+3nPFch1xsOt95xsBY2C/r7b1j3bN2aCvK/f+vwN7e +VJLONd45ahybtn8S/pt8HJSzT4LqhPXynP2rsB6IKbFn7yX+rKGrVkcPJOp9 +92H/117rM7D5blAPfS/o7SGmf7EWvHh0O1Z9nLR6438D+XElUc6YO7757Knf +FlWDe+3tpd9/2/v6D+Rur5j2BPXwecbh1lR9+1CsHJH/5FJTojd7U1BtDVh9 +UQ6aznv49vAu/u8M2n8Ox4C9oczJacOHc9oidmsy4d4J+XKi2luU6f4e86Ev +0T/BPvgwJ5UdvkWV1nPIz38By4lBWw== + "]], + PolygonBox[CompressedData[" +1:eJwllEls1VUUxu/DV9//f99LqITRCKIhhlFLRMujTKUDVmgToIRBppA0DWM1 +YZCdQigoXSgxgJIwyCAUEggLYAFJSxgCyKSxYbQOK6MbXCgx1fj78i1Ocs79 +znjP8Mryltlre4UQVkJZqCsJ4SEPs54LYVUuhH7IfyJvBPwkhnApDeFbsP6Z +EDrgd4DXPR/CfvCz4P9Av8KX4KsJ+3nI1cgJDwPyIUxGfh25DBqN7WnpgH1H +jF/gu6Cb8BvAt6P7jBhtxDuMv7/hOwshvInO++Cn4Ofwthh8CdQI/yI+/8K+ +Ffwr7BdC0+HroEqwB9jeAi+Sc1XBMRW7Erm+4BpUywGoDf0foZ/Bc+S4Dt25 +qWOVkU832Efot6DbyH+UIj+CutFfgM4H6C+Ojj0A/AbYfuyPgB2FDsBf4e08 ++qPRqYj2Kd8n0f8JvhpqALuH/hX0x5LjcHItkk8F/zkFvCbrP9Zfj4f2YDsK +eYL+HpvdyCOQy5HfjuYVU7GL0brKWbmPhMYgzyZeLbbPcu61YsyPrkG11CIv +iK5Zta9H3qbekt8w8jtDDT9g+x5vk4N7sAi+J+da7kKX8f8y9t9TS3/wl8Cn +Jvatnqq3u3krJ7etvH0JfxU8m3GOk5BnQBVZ90i9ege5iHwB+TpyOz76Ev80 +/k7AHwf/IusZ0awMgprxt5O3b8BqUs++/kx/t4E/7sH+FG8b4Y+l5gehPwT9 +Y8qhl322w+/KeVbXojMO/SroKfhb0DT4u4n5DnTuo/suNu0Z1zATvl45ZlxD +nXqD/htZ74x25zHyq8FvU5A3J879c+ho9M5od3qI/y++pqfupf5gNfH2RP+l +dlq7vTJx79ZBrWAfR++Wdm5L6hpVq26CbsNg5IFZ/8nv+HvC24mMc1JuK7B5 +Dd1yelqk3qnRu66eqXeKoViakRWJZ0SzMgybO8ifRt8a+ZAv7Zx2TzenE3lm +wbXexmYG/MHUu9SMzhLi9c57dy5iX5p3z9X7z8A35T1jmjXVMDTxjGhWJiLX +g+3LOXfdIN2iVYlzUw/LiPdb3r5V8ziwvdG3Zjxva4j1Yd6xdAP/wH5i9G5r +J7Wbh3irKvEN0i1qSj0ruiFL8Xct9W5oZ67Cn4u+RS3YH0JuKPhWaeY0e1+n +xgro9EF+IZrXTdVtrS741mmHtEuaOc3eNPAact3B21zlhjwBeU1iXjdGt+a/ +1LMkndbUNapW1VCL/jL0N5f4JnegX5237/XYrFa+qW+hZlqzvYt4W7LeOe1e +Q/Tfawe0C7KRrXQ2gfeO7rVuZin8/3qlzrA= + "]]}]}, { + EdgeForm[], + GrayLevel[0.775], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNlUtoXVUUhnfPPfeee/ZJBVNLtfjqSHRgcWLMreCgSZqm3lDrwEwUdOSD +apXa1rnkRlvoQNr6wIK22iQlIihGq4IVHWihgoViic3AoYITBxWq4v/5L6iD +w9p77b3X+te/HmfTE8/terZIKS3pa+lb1ebompSu0zdWp7RTynHJfrbuu67W +2s9IPy05107ppTKlj/V2WHdOSf+u9L3G+oPSzZW+x5057T+SvFil9IrWj8rm +etnsye/LpfdvSv+k5Ebpp6V/rfR+sm1b2DmuO49Jt11+rmr/gfyukyx0PtA3 +Wtg/fg/r7HQnpcWO3+8Wvn3SvQVe2ehJtzn5/iBwPqU7L+jOq9zReknr9yUP +CdPjsv2J9Hsrv1uV7iudfa87X4ftfmHM24aMe4dwfqj7P+j+9dm2wUi8+3V2 +WHf2SU41xvh2Nq5TkYsNpWOUSJ/pbI9078nXBdmYaZunZypzcFF4ZmvH/Y/k +Ftm8Q+f3CMsGrc/o7SOy8Y3Or4aPqfA3LXmfvru0vj/y+Y7Wq7J7XjYm2s7V +p9n6M5I36hvWeqPkinxv0t3RbF7gZ0fwTG0Ry4A86Fur9Uh2jY1FLRE7uOdb +9o1f9guda3WDPF6ZP/TUwSXtz0p/IvTng1tqmVrF7/OVsYER/rBPPuCR/UnJ +/WuMpyX5sPgak/1dQ84necUHvBEP+PFFLsFEXcwH5v6Qbf8in1cK28FGK7tG +y2zsi4H/t8o5viX7DW+pl5HSfFFb9AkxvR7cT3Xs64vamL6sjWs2uOUN681R +E9TGrXp7BL4Kx8j5IO7vFOatWj8k+XftmOhX8k0MxD4cdUjPwe1yYU6/7dre +vdkzAr4ns+M7HTGSW/bkc1w+elpPSJ6ozdtyNv9LYR++LhTXZgFyIZsn+gUc +k41r8qS42pbN13j4XQhfYCRmcBI3PsD6e+k9Z8SNr37E2o94n658r924x6gT +cvNiY5zMhktarwjDT41r/HLb3PxaOY69jTFwB1/UZi/q8+fG91caY1lfGt9N +2W+xwZ41+WM+3dlxPzMXwQQeZh52R8MG2Hh3s+wckLxN/L2RPWOPSV4Gq2yt +wl/j2mYuHqqdK+Yr58vxP+jFTGA2LGb7no/exQ/YzrU8W+5O5h4s1NBo4x5h +pjKr1gbuAzHXmGnENIh/Cf16NPJFTqajBsDe+18d/tj2W3AdiZwy4+Bmd9f1 +MRz2qXN6g144W1syv4v4VxDz1iHbZpbc3jU++Pujcn9MRN8xN6gDao0eI17k +uVjPZK//rNxvcDMvnw/GjGXWMnepFTDNRQ+OBC/wsyfm5Gz0/l+lz7G/JTtW +eo45DucPaP15bZzgpbeuRJ3BDRzBJ/8t5tTBrvP3Xw0p7u3ZvPNvPxZ1Mib9 +Ddl41kn+C7iPAoQ= + "]], + PolygonBox[CompressedData[" +1:eJwlk0tszFEUxk9n/mP870wlWuIVoithI7HQdEgsOq+WoWozGxJWDdGWUOyF +otKFEG+hDR1CIhalSFS6IiEhEp1qN5YSW5Iifl/O4ibfd8/zfufclgN93b0J +M8tzIk4tNnuSNBtOmZ3ImN0IZgPwngaz6+DdWbP2BWYVgnaBz3N3FPte7OfA +T9NmVWI/Y/8OHiVfP7ZGki/Bfpu7Z+YxbeQfgU+a1yjC/+E/nHSfv+CdnCq8 +BX4E31rwXi6R7yF4nDOGfT/1hhaa3YSfxZbgJMFlzqIGz9EBnqHGLP3N4V/H +vzl4b+pZvV/krpP33eXuObZVnKXgafy/YFsNXwY/Sc618DH6azbXTNptxp7E +1gVvBR/GZx2x68m5Cb36qTFP/BT2V/gPZFxr5fyBLQX/Cb5MjghcVH/gQeLv +EH8LPoi9TEwJvhW+IfKaW8AdxOwDP8K/hv0tNd5RayM9ToIL+LTi/4fTiO9K +eBN4HvsKvZd+f9FvjvgC8RPBtdAMX4Bfx967enoJrtPzh4RrLu01c81eO9KV +9Tfr7aew56g3p0PvV4ivg6Pgs1LPQ5o3PBf5zCrBNZf20uQguYtZ7y3HXSnj +M9Qspam03R78rcqxA5zH/3TkO9YO3ob/BLnf84Zq8B3WLufJuQe8mLuP+D7A +3gQ+lnFtHsOPg7uz7iuNpJVmotlI0xL+a7j7lHJNlwefgWahmXUS3xZ8lzWz +XPAZa9YzxEyD78deSzun3ZNG0ko7+w08Rf7xhGs4C78QXFv9mTPE3ou9d/2J +EemZ9b+iN1XAv9P+du3Em9g1lJZF8pXBV4P/ZWl2Dfw1472ppmqPpt1XM9fs +C7Hvuv7AIfh/JFGKlw== + "]]}]}, { + EdgeForm[], + GrayLevel[0.837], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJwtlctLVVEUxrfe61XPPoGlPYUeo/4ACwIbSddbTUx7QlFhE3XQi+oPUCeS +NqpZEZRE1jVwlqmTjJ5CGQR1s4zuKNBGXQpHfT/XGhz2Pmuv/a21vvWtc3Z0 +X+g6Xx1CuK4no2csDaFQE8KBGMJ8XQh9VSEUkxDKtSF80PmE1pKe59qPan2q +s24BjMj3hZ5q+X/W3YPRcMAryb5d/l9l+6j9JfmclP2a1sasxR0Xzi3tH2vN +694+Pb06Pya/fC6EI1oXZFvMWoxPwlmne83y/6U8VrR/I/zf2lfpfJfsU/XK +U+AzWgt636O7d4WzV3jDwhrSe3OdxemS/bCeNp11aJ2U/z2dP9M6LtuTnHFB +LuTGnpjFjOWxM2uxtmm/IbEz8uK8wWvcH622gtbpeuPkonw2y79JPlsSw5h1 +nPuyjWWMr5e6M6e7r7VmEuP/tnP/SD6Let+UGKdbVdP7aHHXy3ZK9fTq7plo +scmhXba3jgk2MR9WWVz88D+rtSmxHEbrrTf0qFP2QfEwkLO6O5y3Tq1Tqmet +MM5pXYjWs5Ljwz8xsnpf1r4mWv/g74HwWxLDy8g+4v2Z1dlf2X9oPxetf+C0 +y1ZRzD96euQ7lRhfM4nVTO0bPXfs8DOdGJdokH7SV+pZylq/yAN9EYsafubs +nT08Lfl+WLneFG42MV2iiRNad3v+Ld5PtE0/0BE9olf9jknv/3ld1Ecd5MqM +cQ/dZLzH9JqZy6emVTQLBtyCgw1NzgfLkVypp5yzGrC9izYXzMeraHXQqzXR +epJPbCaYjdZqw+cus9bjswh+QTm0yn4nMe0Sn/n+Fs2Xb0BfrXHJjJIXeqOG +q/K5of2VaNhlx6eP6I3eoCk4Yg64W/S5g2/24MAZ+VHP5dTyOppaneBSG/fB +Ib8G53PFuSUH3sHAB5wvrkm0Sa/GfKbIq+IaQyvoEk2yRz/kxRn6hyPu0Utq +gUu+gfC5ykPOcuW84j79PkfkgHYGvHYw8UMPIx6bWMuuV/g9nZq20T5cLvu3 +8VBq9/hmt3nuvIM96LGYrWGvZcjrAn81X9dAyef3ezTux70XcNLjeiNm2TVW +9G8jPSq4lsCe8H9Ho39Li87bZK1h0MPjqWHzz/kPJ87jnw== + "]], + PolygonBox[CompressedData[" +1:eJwtkrkvhFEUxe/4Zkbme19hmdgaVBoliUQnGWtjiSWxRKhmCiLBX6CRiIqS +grFNhkJlbShsE0tHrLVEpRGV381VvOTce86799z7XvXYZPdEnojUcsIcz4nU +ACrByXyRwUBkKgSOiAyB0zGRHU8kw9kAT6NfhCvmzif6ZjQJ4iR3EuAu+GW4 +c+rtw3eRa4qK3BN3gjOcvahpdn2ROk6Iu3PkVuFGnfV+QH/I/Qr4ONpZNGXg +LTxkPfMw48yDelFNOXyxb73UcxzcgaaRgRup30L9W2IoKUB/B17x/znqtROP +U68Q/gP+B+6UfmdcqCJ3EjOP6lV3Vg8/TPwOt048Au4NzHsCTR84Qs0vuCJy +KWo/EueFLPcEHghMmyLXD3521usFPy/gnDMvuqMbcNY3re5Qd5kg3iZuQNMC +bnM2yzzxKnGpb7P+UrNE5/HNq77xCTiNpzOxN2zl7hG5NfgxdnYAvnJ2Nwd/ +Db50hnVHF856aK8ldrTAft6cedcZX8GbMZtd30zfrjuwv6J/oiewP6V/S3se +UusbP+ee7fwYrtm32TSnXNi3XurZA/8BaEBcuw== + "]]}]}, { + EdgeForm[], + GrayLevel[0.899], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJw1k81vTGEUxt+ZO9PO3DuZYcPGxs4fwJKwqVDiI/FNg0qTkpBc+m+IRdul +FdNSglpJCLrph5oiJV2IYOsP0Nl5fnmOxZvznPe+5+N5zrk7r946ebOaUjqv +k+mMyxnTuV2x/VUz/ir8Qvin3nRln+vcqdr+CLyS21+WfSz7veZ8q/Lnhaca +vhvOfE+++cj5smZ/VPeHMvvgt4qdFb6n2G/yZ4TpFzsb+HQrpaGBlE7J3qin +dFT4ob5dFx4RLvVoRN+OCF+SvagzLHxBdkPfJsVvi/Js5uY7OphSX/ePhMuK +a1EbDNdnwbdTM0+4vA/O73LzQC/6pxf0op91+cd0vqjWDvH5rbs3Leeby5zz +Q5HSmvpelV3M/W1J9m7D3BZa1u9waHhwwHmP6ywq5qPeLMl+Ct3QDw2GQodO +9MtMqYnW3HN4Q55u8AP3YnbMcCH0vUL+unO1maH0Oif/RGHNy+BOL2Oh21PF +T6OXcrwWfgB32VeDjrms2HHhP7rPCn9Hw2tVa4RW/dy8+7Gja3r3WbG9wm+Z +KXX/a43OexSzS/595dgmvFV4e1hmOlHxDvBmMna+Hz3DjW/sBn1Qg10lhlh2 +j7zE7s49t43Qdj36QEMw3Jk9us6F5vubnuUB2c2G6/5tuG4n/rsy/gd4UbNX +d2/s5kzsJ9owj3bMrYzZrRR+v1x4bvSDJthu9MYuoCm86b0ddc+0vFtnZfc1 +3cPepmvxBk2YJbyeiPs/qcOY9g== + "]], + PolygonBox[CompressedData[" +1:eJwlks9LlHEQxsdd3913333BPJgXO3Tzrh7LuiT+CDPUCmO1XDooFKz4b6SC +7l8gWmr062RqGIFu2roqKR1CrFMheF299XmYw8DMPPOd78wzz/WnL+4/T5hZ +K1aLHYRmP0h0pMwexGbLkVkvcRHwDX45a7YfmP0hbqK2RO4t/gn2lXgO+4D/ +HtsF+0b9HvXH9PiXNmvPmHUlzbqxW/iN1NRTO1lj1oA/Qv0Y9aPUD+OXyZ2a +99zDX8PyYD3Ml2O+fuwe8R3iQfwClkt5j1X+G4gdU05Ykfk+0quT/29m/A/9 +1Q3+GHyLuFDjM+/gD5O7CzZO/JK3Vf6fAP9Njwvth73DX8CmwIdi73VEz0Pi +Crj4fQW+j79J7hf+EvaFeDTtvZ5RtIb/F1tOOqfb4FXqLxPOmbi7RlxX6zfQ +LW5kfBe90VtxKC4PwCvgl5Hf6goz5MGT5M6IZ6lpASuJ48B31u7KCWumpg2/ +j9yjwDUgLTyMXRviXNx/B68Ezom4WYlcK9KQtHTOnz8TXrNL7WfwRfDX2Ezo +nIk7cSyupSFpSZzuRM6huJwnXo/8jd6Kk4vQNSVtSUNXwW9nXFviWFxLg9Ki +bq7bi2NxrZ23mac18l01o2Z9kvVbH8LXJ+KNyP+W5qS9zchvpxvoFtOh31Y7 +abf/pyR+SQ== + "]]}]}, { + EdgeForm[], + GrayLevel[1.], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJwtUs0ug1EUPEp87eURaOIlxMbfK3gBIcS3YlE/iYdAF7wEq4aNhVS6qJ+0 +vALdtJI2ISm6M2NmcXLOPffcOTPzfXObe2u7hYhYQIwjfosRO2hUkWvIFUQX +/Rz5CrE/FtGejLhE3Ud/uRTxjvyD+Sb6x+h3cF5xn/ecJ842YmAsznQzYS9i +5ilpXwM4d0kczlD3cH9gDp8hHO59TuqfY2appPoC9dBznDkqCOcD9WFBMz3f +MxPzK8Sp48xZ8r7NpHFjSj3isD9blAd17G8mYVDHVibtI/TaiOuJiFaSZ7nf +Vu0t9a1Py4/TooL1Y5IG8qQ+8vk2J+qu2UPyH1lDxWfyaPibPSTds/9mXdQJ +2v/fYt7aeD/0DDny+3WMybm+9w/8dsbaW/DkFTtuoPEl6V3uf6Oc6cyauWxf +7u1FvahgvVoSF+6iLuLyHT0+sSf0Kfd/Qw//ALdMc/U= + "]], + + PolygonBox[{{2197, 629, 630, 2764}, {2295, 226, 615, + 2296}, {2365, 232, 629, 2366}, {2192, 615, 631, 2751}, { + 2761, 613, 690, 2762}, {2752, 372, 684, 2753}, {2809, 634, + 1822, 3261}, {2913, 683, 1846, 3266}, {2764, 630, 1204, + 2766}, {3261, 1822, 372, 2076}, {2751, 631, 1205, 2768}, { + 2369, 684, 226, 2368}, {3266, 1846, 613, 2190}, {2760, + 690, 232, 2759}}]}]}}, {{}, + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{1892, 2809, 3261, 2076, 3021, 2077, 2752, 2753, + 2240, 2369, 2368, 2367, 2295, 2296, 2193, 2750, 2192, + 2751, 2768, 2767}], + + LineBox[{1978, 2913, 3266, 2190, 3167, 2191, 2761, 2762, + 2243, 2760, 2759, 2024, 2365, 2366, 2198, 2763, 2197, + 2764, 2766, 2765}]}, "0.9299999999999999`"], + Annotation[#, 0.9299999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{1897, 2819, 2611, 2613, 3230, 2612, 2030, 3019, + 3020, 2807, 2808, 1891, 1979, 3015, 3016, 3014, 3018, + 3017, 2025, 2582, 2583, 2581, 3023, 3022}], + + LineBox[{1970, 2897, 2731, 2733, 3242, 2732, 2257, 3159, + 3160, 3156, 3158, 3157, 3186, 1977, 2912, 2911, 3164, + 3163, 2258, 2748, 2749, 2747, 3166, 3165}]}, "0.868`"], + Annotation[#, 0.868, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2078, 2584, 2586, 2585, 2026, 2932, 2933, 2471, + 2470, 2587, 2261, 1898, 2821, 2820, 3033, 3032, 2244, + 3037, 3038, 3034, 3036, 3035, 2266, 1904, 2492, 2493, + 2491, 2035, 2630, 3231, 2631, 2629, 2829}], + + LineBox[{2189, 2744, 2746, 2745, 2469, 2468, 2580, 2579, + 1969, 2019, 3152, 3153, 3151, 3155, 3154, 2075, 3141, + 3142, 2887, 2888, 1956, 2010, 2716, 2563, 2564, 2444, + 2718, 2889, 3241, 2890, 2717, 3143, 2891}]}, "0.806`"], + Annotation[#, 0.806, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2079, 2588, 2080, 2589, 2027, 2934, 2935, 2473, + 2472, 2590, 2262, 1899, 2373, 2372, 2615, 2614, 2245, + 2619, 2620, 2616, 2618, 2617, 2267, 1905, 2382, 2381, + 2633, 2632, 2249, 2637, 2638, 2634, 2636, 2635, 2270, + 1908, 2497, 2498, 2496, 2040, 2648, 2111, 2647, 2839}], + + LineBox[{2187, 2742, 2188, 2743, 2467, 2466, 2578, 2577, + 1968, 2018, 3149, 3150, 2728, 2730, 2729, 2074, 2714, + 2715, 2413, 2886, 1955, 2009, 3139, 3140, 2711, 2713, + 2712, 2069, 2697, 2698, 2409, 2873, 1950, 2006, 2696, + 2557, 2558, 2438, 2699, 2874, 3122, 2157, 3121, 2875}]}, + "0.744`"], Annotation[#, 0.744, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{1893, 2810, 3257, 2028, 2936, 2937, 2475, 2474, + 2591, 2263, 1900, 2375, 2374, 2090, 2621, 2246, 2624, + 2092, 2622, 2091, 2623, 2268, 2269, 2101, 3048, 2100, + 3049, 1982, 2832, 2831, 2830, 2102, 2272, 2271, 2389, + 2388, 2387, 2112, 2649, 2250, 2653, 2113, 2650, 2652, + 2651, 2274, 1910, 2502, 2503, 2500, 2044, 2501, 2116}], + + LineBox[{2144, 3264, 3265, 3247, 2689, 2435, 2552, 2551, + 2687, 2002, 1942, 2868, 2405, 2143, 2688, 2064, 2695, + 2154, 2694, 2153, 3118, 2005, 2255, 2156, 3119, 2155, + 3120, 2288, 2883, 2882, 2881, 2168, 2256, 2008, 2885, + 2884, 2412, 2169, 2710, 2073, 2727, 2178, 2726, 3148, + 3147, 2017, 1967, 2575, 2576, 2463, 2464, 2465, 2910}]}, + "0.6819999999999999`"], + Annotation[#, 0.6819999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{1894, 2811, 3258, 2029, 2938, 2476, 2478, 2477, + 2592, 2264, 1901, 2377, 2376, 2093, 2247, 1980, 2823, + 2822, 3039, 3040, 2945, 2944, 2036, 2946, 2947, 2495, + 2494, 2639, 2273, 1909, 2841, 2840, 3058, 3057, 2251, + 3062, 3063, 3059, 3061, 3060, 2275, 1911, 2505, 2506, + 2504, 2045, 3072, 3073, 3071, 2117, 1984, 2252, 2118, + 2659, 2661, 2660, 2277, 1913, 2509, 2510, 2507, 2047, + 2508, 2121}], + + LineBox[{2138, 3263, 2684, 3246, 2683, 2433, 2545, 2544, + 2682, 1998, 1933, 2859, 2400, 2137, 2287, 2286, 2867, + 2866, 2865, 3107, 3106, 2686, 2434, 2550, 2549, 2685, + 2001, 1941, 2864, 2863, 3105, 3104, 2063, 3116, 3117, + 3113, 3115, 3114, 2004, 1949, 2561, 2562, 2442, 2443, + 3137, 3138, 3135, 2167, 3136, 2291, 2292, 2177, 2725, + 3146, 3145, 2016, 1966, 2573, 2574, 2460, 2461, 2462, + 2909}]}, "0.62`"], Annotation[#, 0.62, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{1895, 2812, 2813, 2479, 2481, 2480, 2593, 2265, + 2380, 2379, 2378, 2094, 2248, 1981, 1902, 2948, 2949, + 2914, 2915, 2916, 1906, 3232, 2103, 2041, 2956, 2042, + 2499, 2655, 2654, 2276, 1912, 2847, 2846, 3075, 3074, + 2253, 3079, 3080, 3076, 3078, 3077, 2278, 1914, 2850, + 2512, 2049, 2511, 2048, 3087, 2125, 3086, 2124, 3085, + 3084, 2917, 2968, 2967, 3083, 1986, 2254, 2123, 2664, + 2122, 2665, 2279, 1916, 2518, 2519, 2515, 2517, 2516, + 2672}], + + LineBox[{1976, 2021, 2459, 2458, 2572, 2571, 1965, 2015, + 3144, 2175, 2724, 2176, 2290, 2289, 3134, 3012, 3013, + 3010, 2068, 3011, 2151, 3111, 2152, 3112, 2437, 2436, + 2062, 2556, 2862, 1940, 2000, 2142, 3101, 3103, 3102, + 2060, 3099, 3100, 2857, 2858, 1930, 1997, 2679, 2680, + 2543, 2057, 2432, 2681, 2136, 3237, 1931, 3001, 2058, + 3000, 3003, 3002, 1932, 2284, 2285, 2134, 2396, 2853, + 2854, 1994, 2677, 2534, 2535, 2431, 2678, 3256, 1995, + 2923}]}, "0.558`"], Annotation[#, 0.558, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwNz70uQwEYBuBPI6lio4oN99NE3YGB1lDBzOgvUf8SRRWzSpT2BlTZjNRk +7RV0wjM8ec/7fsnJOVPzy7liX0TMkk9G/A5G/PGYiniizsdQxLRthme9SYMf ++xbbbLLLDl1K7LPHIQf0OOaEI844JTUcUZYXnJMYiLiUNVl3e5BZ5rjXc/LK +vV8uyBHbi28flRX9mkXSess+Jqv6DXky+qt9XN7qdxSY0Nv2Sfnp/75YZ8V/ +N2xvbqueO7ZvNljTm27vbkve8Q/CQDEc + "]], + LineBox[CompressedData[" +1:eJwV0DlOQlEUgOFDQXiAm3BFJEY3YC2DSm0cC2oTwMQKcQQVHBtx6E0sKGwU +cWAffhRfzj3/a969s4vluVIqIgrcZyL+2MtGNMnlIrJ0tRENrU6iZWhp76zm +I1Z44Zl9bciyc4UnHtnV3ig7lxjwQE17pei8RJL4F3NHO5iJWLDP06dl39bv +fE/br81bbtjS++YVF/S4ZFPvmuec0uGMDf3YPKHNEYesT9/BPSd888sPa/qX +OeaDEZ9UvcU/cv41JQ== + "]]}, "0.496`"], Annotation[#, 0.496, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{1917, 2280, 2281, 2129, 2671, 2128, 3090, 2330, + 2670, 1987, 3253, 2669, 2428, 2514, 2513, 2668, 2127, + 2667, 2666, 2427, 2051, 3088, 3089, 2851, 2852, 2327, + 2119, 2219, 3250, 2218, 2326, 2216, 3269, 2217, 2114, + 2212, 3249, 2211, 2321, 2209, 3268, 2210, 2104, 2316, + 2834, 2833, 3197, 3196, 2038, 2955, 2037, 3260, 2625, + 2095, 3042, 2489, 2490, 2488, 2597, 2596, 3025, 2300, + 2770, 2199, 2769, 2200, 2260, 2259, 2297}], + + LineBox[{1919, 2282, 2283, 2224, 2393, 2394, 2395, 2331, + 1926, 2537, 2538, 2536, 2540, 2539, 2856, 2855, 2542, + 2054, 2541, 2055, 3209, 3210, 3208, 2227, 2337, 2135, + 2228, 3236, 1928, 2338, 1937, 3238, 2233, 2141, 2234, + 3239, 1938, 2344, 1947, 3240, 2238, 2149, 2349, 2150, + 3108, 3110, 3109, 2067, 2439, 2440, 2441, 2879, 2880, + 2565, 2566, 2452, 2453, 2013, 1963, 2359, 2908, 2907, + 2423, 2186, 2294, 2293, 2364}]}, "0.434`"], + Annotation[#, 0.434, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{1915, 2328, 2329, 2221, 2797, 2220, 3207, 2325, + 2663, 1985, 3252, 2662, 2426, 2046, 2848, 3262, 2120, + 3082, 2849, 2322, 2115, 3204, 2214, 3203, 2213, 2318, + 3066, 3067, 3065, 3069, 3068, 2107, 3199, 3200, 3198, + 2206, 2313, 3052, 3053, 3051, 2105, 3054, 2096, 2311, + 2824, 2785, 2205, 2786, 2031, 2939, 2940, 2599, 2598, + 3026, 2304, 2772, 2201, 2771, 2202, 2299, 2298, 2301}], + + LineBox[{1927, 2332, 2333, 2226, 2397, 2398, 2399, 2334, + 1934, 2547, 2548, 2546, 2059, 2799, 2231, 2798, 2230, + 2341, 2140, 3211, 2232, 2860, 2861, 1936, 2342, 1945, + 2870, 2869, 3213, 3212, 2147, 3215, 3216, 2871, 2872, + 1946, 2347, 1953, 2878, 2877, 2239, 3217, 2163, 2351, + 2165, 2708, 2166, 2709, 2072, 2450, 2451, 2012, 1962, + 2356, 2906, 2905, 2422, 2184, 2361, 2360, 2363}]}, + "0.372`"], Annotation[#, 0.372, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2081, 2305, 2302, 2303, 2203, 2773, 2775, 2774, + 2307, 3027, 2600, 2601, 2942, 2941, 2032, 2788, 2789, + 2787, 2825, 2826, 2312, 2836, 2835, 2383, 2106, 2640, + 2097, 2793, 2207, 2384, 2385, 2386, 2317, 2845, 2844, + 3070, 2656, 2843, 3233, 2842, 2043, 2425, 2657, 3244, + 1983, 2658, 2320, 3205, 3206, 2796, 2215, 2324, 2323, + 2392, 2391}], + + LineBox[{2185, 2362, 2357, 2358, 2182, 2421, 2904, 1974, + 2354, 1961, 2011, 2449, 2448, 2071, 2706, 2707, 2705, + 2164, 3133, 2348, 2703, 2161, 2702, 2162, 2704, 2148, + 2802, 2237, 2801, 2236, 3214, 2343, 2691, 2146, 2690, + 2693, 2692, 2061, 2553, 2555, 2554, 1943, 2339, 1935, + 2402, 2401, 2229, 2336, 2335, 2404, 2403}]}, "0.31`"], + Annotation[#, 0.31, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2083, 2306, 2082, 2779, 2204, 2776, 2778, 2777, + 2308, 3028, 3029, 2603, 3259, 2033, 2943, 2034, 3192, + 3193, 2827, 2828, 1903, 2314, 1907, 2838, 2837, 3056, + 3055, 2039, 2424, 2641, 2642, 2644, 2643, 2315, 3201, + 3202, 2794, 2208, 2795, 2110, 2319, 2390}], + + LineBox[{2183, 2355, 2174, 2740, 2180, 2419, 2902, 1973, + 2353, 1960, 2896, 2447, 2446, 2445, 2070, 3131, 3132, + 3128, 3130, 3129, 2346, 3124, 3125, 3123, 3127, 3126, + 2066, 2559, 2065, 2560, 2876, 1951, 2345, 1944, 2407, + 2406, 2235, 2800, 2139, 2340, 2408}]}, "0.248`"], + Annotation[#, 0.248, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2108, 2645, 2109, 2646, 2099, 2791, 2792, 2790, + 3195, 3194, 2310, 3044, 3045, 3043, 3047, 3046, 2087, + 3190, 3191, 3187, 3189, 3188, 2309, 2781, 2782, 2780, + 2784, 2783, 2084, 2602, 2085, 2370, 2816}], + + LineBox[{2159, 2700, 2160, 2701, 2145, 2803, 2804, 2410, + 2411, 1952, 2350, 1957, 2893, 2892, 3219, 3218, 2170, + 3220, 3221, 2894, 2895, 1959, 2352, 1972, 2900, 2417, + 2737, 2736, 2173, 2741, 2181, 2420, 2903}]}, "0.186`"], + Annotation[#, 0.186, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2098, 2626, 2628, 2627, 2089, 2755, 2756, 2754, + 2806, 2805, 3223, 2607, 2608, 2606, 2610, 2609, 2086, + 2604, 2605, 2371, 2817}], + + LineBox[{2171, 2721, 2723, 2722, 2158, 2719, 2720, 2414, + 2415, 1958, 2758, 1971, 3243, 2757, 2416, 2735, 2734, + 2172, 2738, 2739, 2418, 2901}]}, "0.124`"], + Annotation[#, 0.124, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{2241, 3224, 3226, 3225, 2194, 3174, 3175, 3173, + 2195, 2022, 3169, 3170, 3168, 3172, 3171, 2088, 3030, + 3031, 2818, 3267, 3248}], + + LineBox[{2242, 3227, 3229, 3228, 2196, 3184, 3185, 3181, + 3183, 3182, 2023, 3177, 3178, 3176, 3180, 3179, 2179, + 3161, 3162, 2898, 3222, 2899}]}, "0.062`"], + Annotation[#, 0.062, "Tooltip"]& ], {}, {}}}], {}}, { + DisplayFunction -> Identity, DisplayFunction -> Identity, + Ticks -> {Automatic, Automatic}, AxesOrigin -> {0., 0.}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines -> {None, None}, AxesLabel -> { + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + FrameLabel -> {{None, None}, {None, None}}, DisplayFunction -> + Identity, AspectRatio -> 1, Axes -> True, AxesLabel -> { + FormBox[ + TagBox["x", HoldForm], TraditionalForm], + FormBox[ + TagBox["y", HoldForm], TraditionalForm]}, DisplayFunction :> + Identity, FrameLabel -> {{None, None}, {None, None}}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLinesStyle -> Directive[ + GrayLevel[0.5, 0.4]], + Method -> { + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, + "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + PlotRangeClipping -> True, PlotRangePadding -> {{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, Ticks -> {Automatic, Automatic}}], + StyleBox[ + "\"\[PartialD]NOT(x, y)\"", FontFamily -> "Helvetica", + StripOnInput -> False]}, + "Labeled", + DisplayFunction->(GridBox[{{ + TagBox[ + ItemBox[ + PaneBox[ + TagBox[#, "SkipImageSizeLevel"], + Alignment -> {Center, Baseline}, BaselinePosition -> + Baseline], DefaultBaseStyle -> "Labeled"], + "SkipImageSizeLevel"]}, { + ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, + GridBoxAlignment -> { + "Columns" -> {{Center}}, "Rows" -> {{Center}}}, AutoDelete -> + False, GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + BaselinePosition -> {1, 1}]& ), + InterpretationFunction->(RowBox[{"Labeled", "[", + RowBox[{#, ",", #2, ",", + RowBox[{"{", "}"}]}], "]"}]& )], + TemplateBox[{ + GraphicsBox[{ + GraphicsComplexBox[CompressedData[" +1:eJyUvQdcVMf3B6qxxhZbYjexJ7En9nbUGFuixt4TNdbYY9fYe4u9d1RUsKKi +CCrSFFCkKwjKLiwsbbH38pZ77/fMm9nw/73Hx89nPHPnzp1y+jkzW2XE5F6j +PsuVK9f4krlyZZebq3ex/3OjXMafDvsw/MB9ov1fsPI8nGHt8YNohmP1CoY/ +fsr+e8TwJu19M8PVssHNSQxf1F5PZriT9sFUhmO0/tMZHq8NMJNh/e+xAot5 +Yn6AMT/5eTjDmB9gzA8w5gcY8wOM+QHG/ABjfoAxP8CYn7xPjxVY7Js6T3l+ +Psr8fJT5+Sjz81Hm56PMz0eZn48yPx9lfj7K/HyU+fko83PEw//eN3We4Qxj +foAxP8CYH2DMDzDmBxjzA4z5Acb8AGN+Mh09VmBBV/+Nhz4O8wIs71+4sn/h +yv6FK/sXruxfuLJ/4cr+hSv7F67sX7iyf4584r/pysdhn9R5Acb8AGN+gDE/ +wJgfYMwPMOYHGPMDjPnJfO6xAgu+9998wscB79R9UucFGPMDjPkBxvwAY36A +MT/AmB9gzE/m248pJz7+33zPx4GOVLxT90mdV05y4r/5qo8Dnap4reKBum6A +sX6AsX6AsX6AsX6AsX6yXHtMOck5zEflmyqfUelSxWN139V5AMZ8AGM+gDEf +wJiPLJcfU05yGvNR+b7KJ1W+otKhirfqPqjzAIz5AMZ8AGM+sl7xmHLSMzAf +VW6pfF7liyofUelOxSN1H9R5AMZ8AGM+sl70mHLSkzAfVe6qckrl6yofVPmG +SgcqHqn7oM4DMOYj63WPKSc9D/NR9QZVzqpySeXjKt9T6VilAxWP1H1Q5yHr +pY8pJz0V8/lvvUfVE1S5qsohlW+rfEilY5UOVDxS90GdB8bjlIO+7WSMz6a0 +E+9V1caTQRO0fuMZ7qw1MPH7eA4Yz9Ef4Jz6AayOC+P9X99Rn6vfBSzvi035 +zmOH76Ie/arrJK/nZgUvskiuh54s6gHr+/yQYf1xAvcH+H+9h1J977+fi/mh +H3UeMj5sZvzCenTUHmTy+3iOdcdzeT5iHdCP+h5gvLdR+4+Nv6PC8rp78j6h +lOvdHJ6jXt//AG6PEvWgf/W5zBdCuT1K1INfqM9Rr883ktujRL3MX8Rz1Ovr +F8PtUaIe/Eh9jnrsB9qjRD34l/pcrhd0LvdnYj1SfS7rm4ncHiXqwS/V56jX ++7Nwe5Sol/Uy8Rz1+jhSuD1K1IMfq89Rr+NlGrdHiXrwb/U56sEH0R4l6sHv +1eeyPmDj9ihRD7pSn8vyWaUTtxzpAGVOeC7LR0c8RpkTnqLMCQ9RyvUCT2S7 +whEPUOa0zyhz2keUOe0Typz2QdZ7bA58Pye+h3aoV/ksYKwLxgdY1v8eGvNL +Z3pCe8Boj/7RHu9j/Pp+uypyytV47m7My9sB1pv7Gd8LdIAnac3vkFZdPcwB +1r8TQXq3UQ6wNtxP9wx8iHWAdTyI4/moMOatr5/JAdbnYzbWJdEB1udhMdY1 +2QHW8TPFwBOrA6x/J5UuaP2mOcDYD+y7CgNvcsIDmQ+nK/jmiAcyP09X9AxP +RW9zZ3yQ+YeTArvxvsv4Ear0G8p8B3iA92R5FsCwzI8i+D3wFfQLGHwJeIL3 +sE7oV9ZHoxlv8J4sp2IUefaA1w3vyXwqnvFIxjeLImctily0KPiXwv0CluVg +ioKPadwvYFnupSr4mcH9ApblXDq/Bz6BfgHLcs2m8KMYbif74Wy8bnhP5j9q +PMGJ+Q3qZbzwZH6DeuAB8An7DHwA/1D9ZLK8Mjn4fWQ+m+zgV8D6g/5Vuxzr +DfmB9ZTlRprSXtiJqtzH+qFe1v+9eV1l+nNS5LmTQj9ODnYT5g0YeCm3tzCM +eQLGvACrdiP2T5Yrkcr+xjCM8cnPTQxjfHJ7C8MYH2CMD7DK5yCvME4ZvwMU +ug9Q7NsAhW4CFL0igOlC5bM58VHZXg7l7wHG/OX2FoYxf8AyHjriCb6fE5/G ++HPCK3Uf5XVy5OOQYzKdJir0aWEY8wEsy78YxW8h+FJOeK/imbrP6j6odKLi +pYoX6r6pcgb6B/iQPD9HOlTxXsUD2d5zpFuVTlS8+e91NznwO/BF2f9k4fXO +iU+odKni6X/vs1gX6FMYB76XEx9S6V6lU5UuVLxS5Sz0NYxD7z+LYZXvqXxA +xVN5XR3lNPrHd1U+otKlug/oLye5jn7xHchNXb2LYj1PlduA9e/7OchtwLIe +J+Q2YOgHqpwG7G7oSaqcBgw9R5XTgKHXqHIaMPAD88H6Yvwy/QYqfDKCS9SD +T6j8TKVvjE+2S63KPtvovvYf+NFtvN4YL9ZX1gMilPEm8HigR8rjSVfo2sb4 +jHHI+B7MeK6X4YocjXaQC7A35Limqn+ocUonJY7npMTBnBQ+osZtVH1EjXuo +/kU1T8BT0Sc9GT8By3FUT4Vvq3FJTyWu56nExYQ+gnWW8VPE9YGnsr4doMSJ +AxS/U4DCF4MV/0YA65WA1X2WxxmutBNxeNAN8E5bBrteJcepQ5X4SqgSXwlV +4iuhSnwl1AHv1H2T+aWI86h8U36eK5eqz6jrrOYfqPqNGifHc9m+iOH5Acb8 +AMv2fIzih49hvFb1ExUP1HVX7SCVLtV8AVXfUfdNnacad8b78vxMDnSO/lU8 +UNdNtdNy4hMq3al49d/7YHKIu0KuyvEVC+OTDIPPpTjQuYrH/73vJgc7U42T +ynzvsaL/uDnYYWq8WtWHVDxT563atSqfVfmIiqfquqnzUO3k/5svRTvoP/+9 +D48d1km1w2W9xFWxo72Zb8n6gDe/Bz1JthcD+T1Zb4nlUvbfJXM7WS4nKnq2 +0A8Ao4R8RinrdREOfjKsI/qX8dWV8RbzxT7I9nuoIhfQL+JfkTxfOZ4k4kWy +3iH8pKrfVPXTq/OV4zI2B7+q6sfHc9CLXg9/5lkDry4wrM/bg/mh/tzP2Ocb +xvx9Gda782d6g56mvx9kvH+b4UvaCyFKPlKcMa5YYx0eMKyPJ575rF4PfyL8 +3wLW2ycq+Aa7A/tvUfgO/NfwdwtYb59qrCP8gsLekekolPEI9CrTi0nBE6Gf +ynEwK+Mx9lX20wp8Az4CBp5i/2U9webAN4GfgLHOGI+MvxnKPtj4OWA1zqX2 +K9ubJsbrnL4j248mhd4d5yXPG/SdleM4AaN/tFf9uKgHLPuTTdxe7ee/+V06 +96O+BxjyRv5uFtfrdIb6PVyiHnwf9XIczqTIKRPjEfg5YOAT+Bz4npyHl8L0 +pfeXoswb8t7iQJcyX7Yo/aQ64AlgWW4LfxPGDTyT46piHOhPthPjeb7gS1gP +NQ6G+cvyCXauVdGzQ1l+oj/A+B7oHc8By+sv8kqAD+Dnct5domLXmpU8tkTF +/hZ5X7L/LYufo162s8yMz3guyx+zwr8c4z6y/8vigE96vYDVOJGMhwJ/oHfI ++km8sp+JSj6mmfEE6yz7pzyV+bkr80tR5pPC+CD7YYMZvyAvActy5CzzNchb +yGXIU/TnbshLOf4j/EiQZ7Lcc6QjlS8AL4AvgOV8L1fFb+KqvO+t0Fsg45dK +F7Jcc1XyqrwVfuXq0C9g9IvvyHqzifki6vX1jGb+pvcXxbC+rvcY1uXwfYax +LxgX9gXjBh1jnLBD5bh/ksO+gL9gXzA/jFuFsU8y/9jM+AlY1rvclbioO/vT +oP/huazfbXbQUwCjH3wH/aBfdVzqOPAdOc77QLFTHvM+5zL+8H3Acv/hinzI +YL0Ofkf4IUF/GBfoD/MA/WGcoD/MF/Qn80Eh50CPspyL4XHqpU3RE4T8U/Ui +tFf1jZzeQ794Ty+dDfzMcugX9WiHdcR4MS/V3ws+jX1CexlPBKzuG2C9naBP +0AX6l/0KFgUvRP4t+KmsLwo9XrVrQcegb1XPRzvsv44P4j0dXyId7Gg570+c +B5L9T4KPqnmNsh0h7Gjwe8ghmf8LPRx8Qs1PU+0S7Kfar4xPwi6X5amNYXxP +PW+g4iPaqXmIql9A/Y4c58hyyENU41jgV7JfDXJc5HOq8l1enxTGeznfU8h/ +PNfxIFSxi4U+rb+fyHxDn08a8wm9FPwK6wIY38F35biwoE9Vb1Xjo6A3lc8D +zwFj/GgPfoDnwHO5fQLvsxzXBX2buT3wGbDqdwSd4znwVB0f8EzmV+4OcT/V +z6zKMTlO5+7gh1TlmBy3FXFFyA/5ez78PTzH92T5G8/tVbkq5wf6Md6jvZyv +6cd0ADiX9BfqsO/gd3IcLlcueZ3VfXdT8NzdwY8o442bgrfuil/Dh5+r6wT8 +UdvLeXJ+Dnor8FJe7wSF3k2KXEp0wFM8l/MBNiv2rkmxg62K3Zuh2EXp3B58 +T86rs3F7mZ9ZeH9lOnFjvFXx9L/jzIKvyt8Rcl3V+zFutJfzASwOfl20x35h +XiqeyucaHeeZU1wXMOYr45lHjn5QfB/j0l/3z9EPCrqA3IefU3/f0Q8q51lC +rsezHqH6QWX8RvxJyAu9f+EHle1RC+uZcj7k//J7pihyxaL49yz8PayzfL7P +psinRw56DWDQiyp3VL6tyhm9Ppqfq3xU5eOyH9VPycsQ/EPWpwQfluOHm3lf +5LxUkwNdqXY33lflmHze1d1Brqh6rqoHy/aExcF+VPUk9X05j9rPga+ockTW +r0U8St5XcT4D9AJ5AnqR486xyj48UuwLq4LXAk/VcxMy/gq/LPQ8+Ev1dplc +L/NP8G3H9wDL+nE604U+vnSFToS+K/vlTDwO6Ht4D3ap6tdR/aQyfZuYztU4 +iL4+WD8B6/SbzPon+pHpWM2/hzwKUPSzQIWOgxnWy3AHOgYsx7k3K/kwm1lf +BT/X8SpM4fPhDKt8QsY3d8WecOQTwEMV7wHL8xX3b8h5kIHMjwDL83bi7wI/ +wJ8wT8CyvBX3Lcj+W1fmT4DVvDLV76SeW1bpWuYTJpYb6F/1W/0vP5bKl/Cd +nPxaaC/TQ6YSZ1fvwTnr4MeV87XFugGPZT3Ph+kHz2U9T71XJoj9AIDlfPZQ +ZTzBOZwjClbsLtEv+JKOf5EMA/8wfjyX5yPOualxD9VPLtsVjt8BjPZq/qLM +95IYzmmdZbvQm+VwTvMAjO/LecbiHJ58Ti/RQc6DTv7bj5LoMI+c8EC2U71Z +/wd/gX4FfgoYeC7bjY5+GzlfQPBlOY6dpnwvzeG7oB/AkHdyfFL4UXLCW1m/ +D3SIK6l+JvlcmCrX0h38RIDVcWN8cpw2y+EciVoPGP1Ajstx180K7MT6rD4v +5xzbyfaGs4NfCTDwA/xHH8dV5lfgU4BleRek2BXw24h8Xb0/5MeK/F20Qz3a +gc5BJ/o8HrI+Jp8bEPm+sp4BfUfE/WX/lZX1CjkPXORVQF8CLONBOutF0Mew +j/q4hP8eJdpBTmPfZNiJ7Tvsm+zXd1fsO0+277BvoD81Hxv8AHoY7CbZPk1W +4tsWXie0xzywDpivrJcJv6C6jrIeKugI+Crj42YFduJ5Yn10fnuDYTWvQdZv +3BnG+ul60E3uV5ZvV5l/YByyHuLtIBdlf0mgMo9Q9uvgPfQvyy2LordZeN+x +T4BlP0oAw3gfdhvag6+r9i3kGtZJhWV/WADrj8BfOa/zIT8HLJ/zeMhxJn18 +jxjG/GW9wML6KdYD/WM9AGP+eF9en2heD7T/7zynNH5fztuMZnpCe9CL3F8G +vy+fS4lm/EB7NU6K9VT1HzUPBHik6gWgE+AV9lfVZ1S8A6z6MfG+qk/Ifq9g +fi6fP3HE25z2FTDWIad9Bj7+L7wHjO/nRAc54QlgfD8nvFH1mpzwBjDezwmP +ZP9GmoPeIcft03PEM8AyXTjiney/yWD8A19X/byq3oP9UP2V4MtqHqaaZwk8 +k+W20E/Bh8HP0T/4N+SlzK8DGMZzWQ8W5x9Vua3368vyRP/ebaX/JEXfcNwf +0KEcV3VysJtVu1rOz3FV7Aw3Xi88l+lUzTsXcUzAsv7pqth56jkDYfcAls8J +eDOd6N/3YTrFczl+LmB8L5fxh30Dv/m//TbiXLOcbxes8A/h50D/sr8oUPG3 +BDD+4bmchyXy+FU7Qx2vXor7USH/QS8y3xV+IqwLnsOvIusHJiVPyexgd6r9 +gy/o63GT84jke6UiWQ/TX4tS7AhxDgDPQY9qXrDsPxJ5wYDlfXNV9HrQnZn3 +BfOU5aNJ0T+EP1u9nxJ0JOtNAlbPv6jP4Y8CPgHGc+ARnqv+cfXcmZwX4K7k +Sbo7yAvVzwkYz1U/GWDst7yuoQo/c9SLAat6MfBAxvcgBf9EHohsd6UxnwTd +oH+MU85nFvcSyvZ6zn434Kssp4KZj+vjDzL2WcD6+IWcAh7IeId4F+JOAtaX +UY17ibxO+Cf154gPCljHPyH3ZPkv7Cn5XhD1ngNnHjfWFXQm848Y9t8BBv8B +neK5mgcCGPavnKci4hcYD/YTcgqwnIcv4gvye5lMz+A7+n7u4e/J8kDNQ8/i +92S5kpVjP3gPz/V64adQ9RQ1roJ9hr2M/QMsy/8IRf7DjxnP66/KRVm+ezrw +DVXOyOcLAhz4puynD3bge/I5IgvzdcDqOWfoAdALVLmPccj8UchZyEvZH3CW +8UGen43HDRj9yfHBSOYPqlyT8wvdWd7iPTlPQ/inZHkt9lHOA09U7BaRf6nK +MzwH/sn5p1mKf1X4n/Bc1mPdHfx6gLGe4A/qvV7YX/kes1jWm7Eu2GfMH/MA +jH2GXIbc0NslsNwCDD4FPifHTdMZf+S4pjg/J/vFXHkcmDe+h/VV/c1yvm0o +jxd8E3iDfQesv++r2Cm+ip2N82uCDuTzr47nDOT8VXEvK+hA9gPbcqQLOU/Q +kY6hf4OfgM+ofjcZf7wVPfUGzx+w2g5wTu0AY12BT4CBTzK/iWH8lPOWRdwe +9I39V8/pYJ+xPrJ+J/xW6r2C2EdZL0nJ8dwMYNCnTC+eDKt2K/i97JdNd+AH +ajvVX622Awy+I8fpRF6PjKcibq+ec5HxTNz/KOs94p5mmW5FPjdgWR678ns5 +tVPjJzK/FefsZH0skceL9uCPwEfwT+wPnoPOUS/rwz4My/0EKft8h9vLcdcb +ir6KOMcjJd8yQbG7Eri93m+CEqcT57Fg78h+/CSFvyYyLMfnRXusG/xh8nlJ +q6IvijxU9TywfK7nLPNjOU/JTfFfeCpxPnclPy+A54F1l/OaAhS/pJ9yX3io +YqfcUfJOQ3mf9FK1FyJ5/JBHGB+eY3zqc/AjPJfPcyQ62NtyXlsE44Max1X3 +ST1HB3wAHwCs3jOP9tgntAesroN8b0sEv495yvcBxvFz9It4HvZNXkc/5k96 +/1kO5+lkv75ZiWulMgw+A7wHXwHeY9+xbrI/IV1Z5wz+HvQ19A++pOZ9oYRd +Iue5pDDfRb6Zeg4A+oMcrxPt9H5EnpUsh8866IngO+Arql4IfQH0B34MGPxa +b3aBYeS9qnoT9hfrqsvNmxznhBwFnkA+A4YegLxVwLCrwG8xbnxXL/co9oQ7 +0zfGq8aJIe+Bh4AxD/AFzEOWV3cUORfB4wPdyHpUBPM9FZb122CmK8ghma4C +HPgJ+AVg6O2gO9j54MNynNJVsf+cGJbP1aco8iiF6Q75lOq94TnFsQHL58kF +LMf9M/g74A+yHzeLnwPGOOVzKhk8HtlPJfJV0b+cj5LlkC8g/04A5JHNQe9H +/4Bl/Ip2oDuVzgBjn/TyvIF/p5T8ggDGd+CrjP+4h+S2oZ8GOtChSneAZX0c +ckvEf+Q8MjPjm8z/Tex309dN+GFk/pjK+CTzd+F30+WYlfkt1leWx66Kf8RV +yQ8U8Q/Asn0i4hOyfzWLYfANfT2F3YP91ev92V+PdnI+uLiHQ/YvON7rjfHI ++yHsJjWPA/sPvoL9UP2i2Eest+r3xD7JcUrh/0M/sGvBj0EXMuzM64j2cl5c +moN+AX4pn28IZ/kHfIc9LOcjblb8dE6KvIlX7s+PY/4HfQF6kxwPF+dBwMdB +r6p/RtYHRV6ULI+SFf9wssO5vJz4FGDgOeYJPQDrLts/ror9gniCjyGvryn5 +NwFsB8nyMEjxA4pzj7JfVc3vMrHeo97LAFi2Q1IU/7qaDybyH7FvWBf1vJka +b1LPU6i/9ybn74t5Yl1k2MZyAd+X46ZZPB+sv3zPlrjnAHgl5zF7K/vlrsgB +d2XcHg72q6rnAFb5Sk5yX723X5Xb6r2coGf5Xk6zwv+FPS/7M/x4nPq8fBX5 +5sfzxXPwPVlPesT0p6+H+L0D1R/533mFNkWPsLFeADkk52fnyiXbyeL3hgBD +z5flneP5E7kev0tnUeQO4hw4rx6p6KGRDn5n7A/mg1LmyynMv+TzSfHMp+Tf +CUA+nvCjyfbufZZXOuyotwLGushxtDS2U+V8e7Oij4jfR5HtMIuy7mmKfir8 +XRifnFcg9Bbso/p7UzK/N/E8wH+xD6BX2f50V+zPC8q5bXEfq6rHyvEsIS9k +uzXDwd8mx3dsCr/yVPLCPJi+5PUSv+Mj55GmOYxL1ouTlf0Wv7sIOaCPS/zO +kax3m5Xxi/sFMA7si3xeQ/x+h6zvIe/kJvej3h8onx9LYfzGONRz1fo6ijiL +/v1wJf9J3A+lxk1kv2+K4hdOVewN9d7LVCWe7qn4Y91ZLgHfwd8BY1/1cbvx ++ICfwCusK/go8BSwTE8mhZ7EuWYZnwW9YryyXBF6jaqXAMa+qnqIqkcAlv1u +Abx/2C+9PtwBz2S/jvq7VjbeDzke6q3ob+JeLqwn1l2v36P4dxz5mpyHm8B0 +AViOKyfwesjxPvEc8lq+t91N0Zt8WI8AfoOO1TwcNe8GMOSZ/l0Rv5PP2SEP +6p5DXo+ax5NTng1g9A/9QP79qEeKXWh2yNuS7ylV7aoEh9/9Q3/y7+eKe5tk +f7HI01N/j/a/83dFPF7Nk1N/j1Tm+4+Y/8j3W5qY36txLdAV/JDQR4D/oCPQ +v4zHmxW+kKXQs83BvpHxWPxeGMqc2kHOyf7YLK4HPenjWcIl6uU4VQK/Dxjl +/2qH+YAPox5yHbAs3xMUPpDggFeol/NtElh/AyyfLwpnPEYJewkl6kEnKl0C +1scTqcAJDnQEGKUcz45X4rUWBzqQ41nidw7l80MiPibzXcd7fuX7gDKUPFtP +ljOyveyp6D8XuEQ95EV1Q86DXvT3fblEPdYb/A9+cv3921yq/nPsA/xBqEeJ +ev39++x/Qol62f8h8rpl/7PwW6BEvez3E/gpy5EEB3pBPfR0yBd9XczGPMTv +f8m/72VhfRClajfJ966IuIocT0lheQw/F/L4dHxEid+RzlDsItwfBT4q6A36 +1f8/uhTr8/+VT2C95fuwElj/kL8D/ujN/h19veHHvMVyQIdDuUS9nNeG/Gjg +YRSXqEcp4x3Oy4rzQ/CHoUQ9SnkeiK8mcol6+VxtEvuJ9fVxtCNRqudCsd4o +5XNuGco+R7I8BF7L/pNERY/OYPmo8wNX5jNqXq58nke9p029N82qyIN0h30C +jH0CjPHL+BOj6LFWxS8m7hMEv5T5gYjXy/528TtMkEf/fd+S+vtP4veYQN96 +ezeH+zvlcQUwnclyDPGYc0o85RTX6+2cFX+bs5I3dYPpCiXq9fZBTGcoUY99 +kNdf5Pnrz0W8BSXqYc/I8RqTsn85n9tD/jPiMShRL/sRgHdWpis5DiPulwO+ +yHRjZXwDPwAMeQQY8g14hvVXzwkBryBP5TjKQ+bfOp2IEvWyXSb4uT6PTC5R +D3ks59c63nsCWO8feVviXKG8v2K/ZP+ildcJ49P5Nu6hPWj0J2CU/3e7x1yP +9f5vvg4+Ab9FONuVwAv5dy5MrB+gP+wDYH0dxfqgRL38+6e3HfL89VLErdQ8 +ftl/DL+IyNPX5xXJ59Xl/PV0PkeA76JEPfQTfBcl6qE/4LsoUQ/+peIz8Bh4 +IMcHvVheQ3+Q86MTWM5An8I6yXkk4vy4nDcXwPiot7/J+gD0KeCjvk9CnqJf +OT8eeeWiRD3wCngGfITcke8VEvEvOS4m6Bj8Rb7/RdAt+LW+7uJ+e5WvQ3/H +OoCfVDf0H+jfsn4u7ksAH8f+gZ+hVPmwrD/HK3qP0JtRynxe7LPs507kdZb5 +j5X1XfkciPBzy/eEZih6SoZD/gPwECXqcxl/+n4Ke1ovN/N+w16W7XDV37WE +6+V4hbh3Bno5+Dnkhf5c5E3IfoxTxj5fYrqC3Jb9cb5cr7/vz3QBOQ59A3iB +en38IaznQm7L98U8UOL68dxOn2ec8nsAySxfwC9Rj3agS8hl0Dn4hOrXVX8H +HfQMWM6vTFD4v4nHAzmIcQGGnob35XPbCQ7fUe0W2X+foOTz5PxdjAv0CXwB +nwDegl/AfgNfVc+hgE9ifdRzM7K9naDUR7DcAV7q/Yl7JFGvy5lzDnk+Kqy/ +d8Uhj1mv9+F6WQ8V5xgAA1/jtIq7jJfqvZKy3Y/8IKGXqrD+nsgLlfmVsO/V +eyQhp2F/y3mV4rw27AP9e0JPkfMnUxj/5XuYUhU9WZzXUs91AJ8Qd1X9CsA7 +4Bv2EfuKfZb50Xlln32VvEE/rsc+YR+xD9gXOb4t9gX7BD+BfE+RwEdZ3xQl +6tV70uT7noScBR1h3dTfdUE91hHrqp6DkfNJPVlugr7UcxHyfT5prBdAT1DP +rQIPZb+hOO+g+uGgt0POoES9nMcszkHJeVnuLH/k/CJxT4Csj5wynp9gfQT8 +R86jE/aa3q+IZ0Fvk+Wbl+J3EaUsp4TfUi+FXwf7hH3TxyP8XyhRj3WR/XdC +b9HpMpH5AUrUy/Fk5KWlKf45UV/dkM/QYyEPobfqeO/E641S1hPE+sp6l4n1 +Eug5wHPME/wMsPo7SlhHyCP9+5FMj9h31R+h78NFRU/xY36rr1Mc4wHwQpar +4vcaVTkvx1vjGX/wPCc5jn5lPSST918+1x7oEPfS5y/8eoD1UtBVTusMeQJ8 +gfwAPshxcHG+V+b/4vd2MH7Y+4DlPFPVfyDOY4FvwL8Ff5f8+4VJip8tkWHw +CfA/8AnsC/AVeCyf3zYp8WncixjFeCbHZcR3cxoX2stx3wTmp4BhP8jxHZOi +xwlY5l8P2V7Fc32fzcq6iPH+9+9NiN9LVPuVzv8dMe4FzHS8l2CD1p+Qa7I/ +OFOx9yL0+sFGfOCI4zm/D1q/Qi7J/ud0HjfwWV4/cf+EPB+xT3Ke+0OHfYH+ +LPuZ0pnOAIOuQC/Af6yXNt6SNgO/oT9EsDwGPWA9NHwKxDiied0gTwADP8H/ +ZDpJ4/3AeABjv7C++D5g2Y5wY7rRpmnXu8BnZb/7CeVecuEHBV8FHsvyNoPX +U/a7i/N9mI+cD5yq4G0qP5fP+cUpctCkfM+k8HXQhfo7NZuVeKbIIwE/gRzE +c8C5pL+zihw8y/3L/GkJvw9YL32oyE9H835XyJcq3bnQ38kq8kXafNXpn/S5 +0cb8o3n9ygTsKd085AGtOT7ef/4B5GUIOeB1dEifQA97fZG8N957IJ4EP2ES +de6S0bdCNWHvAmb5ZMDjKnUuUHBEEr+Hfs8b8qdH+IQ8a11wz2Iyf6+zMQ7U +95rxd8Tpwin8HN9tcSb62ozWwp+F5xjH7Yive+5ekUl/GfAXo+uFTKhhpndL +gmZtvPyIDqyZNWzTpCSGQ+el5PnXI5naVCy7u63XIxpxsMF2t89SGe7zuleZ +T3b59NZon1Jx74lqWzIZntPO0rJzXBbDeO9Pox/UzzbajX+2cM5zz4N0uW9J +1z7Rh6lL5c/vVj52hab0CE/p3siL/qpy4myV2QH03qPoVY82N6nviZO1snwj +6Yl1VpXDw+z274TCHTOe3qeJl1v/2qxfDDX5tKPT9cImGlTjXNdRrU2U0eVt +3OoViXSrmikmsU8iLS/cYfLpuxbq7frdhIL7LZQ2YdrHOikpVHzLutwRZa3k +dClqy6vhabRgk9fGng3SqFFc5ZoVXTOouHu+ajPnZJB/rrGX2z630cHY7hd3 ++4j8Xez3BUOfBYwyp3b6uLKMcWbRwxUPfJf9uY3WLJt4Y9XQf6lRnZdza3yy +8f6gRD30wKkTa2l4xedVDTw4WuCUNZd7Bq87yse7whpuic3k/hqe8X568ZJ9 +3Pnb+uZzukRVoma6RJV25xL1k7b5fb/thd2efP9H5Q/1RIn6S7VSp9UqH0LV +Nywbs6H3HS5R32myq33/4uhD1Tn2/RMl6lMGP9fXzeA/t7T1NpOTtt5m2tta +L0P26fX6fluM/bYY65hirKsoUT930k/2/U+lfp2/t+9/Kv2m4UEqLdbwIpW+ +arDejgcZZLn7tx0v0rlEvY4fNgM/bDTruadWnugTrdVjHd8p663uw9AZqw5M +2pSu0GEGZc8q+e1J6maf5YqEEzTSu1H+X//0phYLtz8b0/w6l6g/2Wtgj4cr +Ayk5LKt9xxu3aHPu0CmLrVHU5eK+vxovj6JsZAqaG0vD/OptWFAmlr93K+Lz +5bG5TFTM4AdLr5X3u2Rf99u/UdGunU0M6/Rioj7aOpnouDbPZGPeokR9izlf +2+nFSgXLZdOL1di3NArQ9tFOT9p+ZdIAbb8y6ftlZd9P7Sj4i8rHsC4YN9t7 +Bh19lfhnv7gJYvz9Nf6UyPDNReOK7Aw4S9m7ePfv01yi3lVbvxtk0dbPm0vU +551+3OfmwSCKrHrlQ56HgVyiPuXOC49SRR/QsqI3zt88Ecsl6nW8MRt4ZOIS +9Xc0PLbSHg2vRYn6Zdr6pxv8SpSo/1Lrx0ZJWr+ZXKJ+uTaecLJq44lg+fq8 +1eWkgkvOcdzZ9+wiz+0WcS9By02Bw/rnEb/f+eyfzx9ntRS/37m3wI6K7RqI +3+/U5VMqldG+m0zJ2jgsXKJe7y/c6A/3wCXTs4puMxLtz/V+xe9j6PI+gvYf +I6dG9vGjHd5DO7wHfaBs/syvv1kl5oV5Qv7v0/p7wPPCPKHf7E/ZeKrCTeTD +BtOwnSXGuZ0MYj3gqTYOM8vpE2vW1+lp36+Gw8rncW4YSSEHLO8Hhoh7rX0f +hwXMPxBh+EUjqKymf0RwPdoNez028dpdcd4OemehxG5rKqaIerRDvZwPn2k8 +z6Q1n9+08+Xb5LNqqJ1P36bdL5tF/VUomMrNcjJ9FhZMrTV6NVMRjV5FifpF +Gn2b6ZBG32Z6lpzNR1PpxooEO18VJeov/pFN36kU45dN34KuC7Zcce/bC0k0 +t/KQv/PeEHER7Mvdabei1/8p6tEO9dzux1nBziewT7EG/sXS7N9PzU+387lZ +1/K+frXP8V6TO5oeJErUc16swW+wvjo+ZRj7LPyYOiz8+lhvvb2I57t+38St +Q5g4H7m83Tu7HmimsqM77K7jKs6V4LnPb9+1W+Mjzku21PS6VEN/E/FVPJ+t +zTOV6bncig1NbO9OkreG7yKOBHpe/2hDkO/SQKZfHT9M5K191+qQ9/OVNk5x +rrWIb6cKr+Zfo+FlJ/dKanZduQcwlvp+WWGgkzWGjqUlOQ8tI8576fOLpJTm +I9MD7HTR6ot6zZcME+eHsI516yScHjXHRku1dRL+wC1/3B3X7YPQR8H31XM6 +fTT+k0guGh2q53VSDTpJNeYt4gPLDDkRosm9VJYbRTS5mGa8J/LfwW/0fux8 +h4LfnN97k0Zo8vgWr3uIhre3aLaGx4h736SZGj1Z6ZhGT2Ldl2nztlI9bR3E +uQGdviwGfYlxhGh4YTHwQMTL8V2MA9/FOPAd9dwJvot+1XMS8neCqW9UYDfP +erc5r/d66uWlpZeLe7ESf/jl+NAy0YZ9JfJILxj2+Hf+k59ktRR2VQPt++J3 +LTxqd63UrkESrR8dW7vnc5GfDn6bvMtzVISd76Tv+bdl55472V4MDPt1Xo01 ++x3yxNFu0q4akacLZ7H+rcuXLPp6bTU7vYkS9WX2nIzIsNspKSN71yllxwv/ +CjcKBG3MIqsBZ/Usf+ZwVwFb/0e7+q9mzTjaKZP7G1w3rOLC3JncTrUj0e7Y +9RejStS0MTxn9d5rTSfYeN2xDzP7b22xZJhj3nV4i43FivuFcon6kwfm9bpY +7B55tmxZoebxaN437CPod/fBmn8EP42kV0ur/jiwXxQ/B728VfRK6GvYZ+y7 +Wetf5GujXrfTRYn6SiNGPM1wtdvPDXz6HZ2dxHgBPNlmvmTHS8e87Q6RF83X +7ooS9V1/23Jm1BzHPO637TbtquMqStTHT4+z80fHvO51Gl5mcCnfA+ZJeQZW +fHIq3YPWBNc5NHPoZaM/3OsaQIHX3NqNKx9AX7y+sqtbb3+Ok2Dfvux5b827 +NndpwJpH5kezQjiOBDoCXc3Q9vs+10do+3vfIY8b7bDuL7V9jKdd2r7GsV/o +kTZfEUf/V5ufsMdQj3ZFT1t+G3IxwQH/UQ+6BR3DL/6Tti8ptFXbPxFfzTVF +t//0dlk54j1glKArq0JXqp8Gz0trdJ3O71u0MoMmfqxvt5PCyb3rCLvdFE4N +mww8FmPXC1omtXndeLJoh/diDX+UT4OHR25NPc1yWPYDBtINQy53+zb3JKd/ +AqlGp8/vjaIglp8hhl4z19BjoI/C/6zLISG31XxdyHHIbfn8mY31Fugp0Fug +r+wfY9verfcd1s/naOMQ+XmQg5B7kIMTX7X5tVm/CKpet1DHjKfh3A/6JUPP +nGPonZDX0IOg90APOmHombMNvfMvQ34HG3oQ9B7oQcN8dD2z3ghd73xRt/hV +jzbBNPOU89kqs4O4RP0Arb2ZmmntRYn6IpqdkkoZmt1i5RL10Avl86lCT5y7 +/+Oq8EZerB9Bb4Iehfphhh7Vx9CbgAd/GXqTs6FHtdX0itt0Q9MzgrlEfZqm +F5gpSNMTRIn6qv2z19Ou7zzJXk9Roh561jJD74LeBD0qxpD/up9R5PtBj1ph +Orz+XRvck3GLsrR1sNK/hl6B99AP8Ap4FhMaMurUhmTq+vuGz45cS6YO2vfT +yazJ93S6rs0nnZ5o8xH5eTM1PMiknpo9nElLNHs4k8oN+GZg7kGHWs7wCKsX +02s2LUu5U8QzdASt//Fq5OxKi6n1oQkFbNZFVCMkqe3aruvYfzZCm08WFdHw +PMshnyxUw78sfg/9oB7tdD1KxC9f9vSZEWOfX//Oi/Z8+0eyEW9INvRdUY92 +0DshV3X/hoCtmr/VwrDub0pm+Jnm17OwXjtP87Om8HNfTT4LvXeRVlr5+TKl +H/BJ8E3sE/YNenxrQ69HP86avyvJYdw6nV+gsiu6ft6rtDs1KGLH8eLnub7E +kUfL1y05R8WPuu33+uI8563o+qYfDdfscJGPhDyVltr348hHs6fV/KIUQ19M +Mex0kY+j67si/wZ8DHxtxfDcs+oGn3fIq8K4MQ/U9zfGHXRYnwfiEvBLYNyY +B+aF+hdJ83dOsdfXG1l63X3LDY5TqHlTmCfmjfpCZVY9HGKvP9av9/3irR4Y +9CfijnE1/+37ffo5uvjhSqu3Q88a+OqYr4N60Jmar4N+Ox3M9lNlUrWW2X4r +UaIecQvEMbDu2AfsC+qrGvzohiYXRP4O+Cr4Y53bqxoN7BfDfAJ8A+URrf80 +LlEP/qZ/V+Tr6Hw9jVr1WNhhXPkQgz+F8Hfw3T59J4xc7XSJ4+pFlr78orif +yL+JM/SB560+lDg67jjtTfll0cJHJ4x4ojPzSfBNyHcdD02GfBN5IuCj4KvP +vQa9i36B+0L9afmhXktKLxf5NFg3rCP0H8SfMG+sA+aNdbj97K/MwfcO83gx +D+g5qMe8Wml4IMaLeah5RZgX+DD4Mvx0oA/45YDv4Kvgy8MHeA/NtkNgl2De +hbV9iKTcFbPxP4Iu9czGf1GiHn4E+BXAn5po8RQBq3wTfBJ8QteHUpiOQFeb +24ZNWWyNoC4z9/7VeHkE41H9dU2/+3vvXcPvnyjiZxpfTVL00kTWL4Fnre7G +1d3jfIXxbIW27/G8H9i3SXYpWbjDGZoam9jH9buTvP7Yp84aXZoMOhX5Hclv +SiY8mhWgxCfEOJKNcaYo44SdV9qQU5jH3vB6iYs+pnH7oIKr1gy6nMbtg404 +A573bVtoty1GwMtm/tnu1hZhR5Yy/PyABxh+ftkuMDN8V/uegA9o4zEzHwdf +59+3Mfx/GJf6HcCaP/RsJh3M1lNNmbp+OCadimbrhztFXDTI8CfhvcKGXE81 +5CDq/9DsFIvYf2Md8RzriOcdtPhnBOVJzY5/RhhxZBuPH3FA+C/4/iDjOexU +tR1glLAbAH8y7DHEDTFPtZ0aF0Y93+drjAPjwvMLyjxgbyJOhn7RHvo3StSD +vhHHRn/gf4i783cM/iif7wuiBhq9BnPegO7HwP3dZhHf1SrMBl81Uw3jO7p9 +DHvXavDZVPZLwU+FecMvhTgw4sKIAyMuvE/DB0f790vFT4V2sKexz0s0uhJ2 +ciHNThf2LO+T8h5gvNdbo1fhn7qt0Zv4nno/APIy4N+AnwrrizwN5GEgLwP+ +CviNsI/Iq4DfB34g7CP8PMAz+HGwj/gu/CTwm1SvWS6Pc8P7FBuT/H5gyD0u +UQ//B/ANeKrGreE3KWL4QVob/gOd3gWfQz3aoR7tgEfAK8S5EffGPliVfUA/ +2Ad1/4AHKQoeoB3wAM99NX+msAOaaePOoEla3kWYkYcRyiXqEYdGXHpjJ5/z +N09EU8yW5x6lit6j+1r5yKh/yCXqsc5Yd/hjko1x6HkbSZSh5XEkcol6PW8j +iRpreRxJHIdGXBpxaMSlMS/MU/ZHpRt5J7HUR+PDsYY+Js5vwm8EP5IerxLn +HxGHRVzWxeX+rZI/n+E8sqAvq2YV+SqI+ZCuJ4s8rD80O1Wcj0XeoK4Hit/V +1fUhEWeFvY1xYtzIQ9T1dHF+GeMCH8R4UGKciBPr8wviOCniBOCLGD9KzAtx +ZPizEFdFXAB8E/NFiXVA3Bn+LsRhESfAvDBPxEERF9X5zW0j3njb0MuDuR7n +Medo+qvZ0KPEOU2cx9TtpVRj/OKcpo633tRXsxuu0wrtu97krY3D2/CXifPe +Dwz/ccizGt7Xs7y4Xm4Xa8TTBB4CL3X9WJzrbqnFcdPpcy2um274CR3PL6Me +88Y6YF1Qj7gP9leOc4r1wjph3VCPOA/2F3FR+P+wblhHrCvqEffB/iJOCn/g +sUHdhv/02IsaD/lm7rT514z3RbwWcUL4IfX+xHnWgkacEH7Hi4a/vp5GB+L+ +Nh0vxXlV9IM4HeJ2oHvwAfibwFf0eKfYB+wT9k3354p8YeTJIW8OeXLIm0Oe +HPLmamhyK5Tcz995c95uf6BE/Sct/8puR2n5V5GcR4e8uk0a346nThofFyXq +kWeHvDvk2SHvDnl2yLtDnh3y7pBnh7w75Nkh7w55dsi7+ybAaf7Y1dPo5fbO +6x8/Xk7tMj4cb9VqFcf5Fmv5XVk0RMvvyqK5Gv5lGXZ5Fr+HfvAe+sF76Afv +oR/kWSHvCnlVyLNC3hPyoKCP5Hk7/0Bu+34HK3Fm+NehjwJG+3OrJn1aNCuZ +3lV0edzweDLjn5yvkMLtVTtW7Vf1G0KuQ85DzgE/4bdBnirGgXEhrg97/EaD +auEjB1406MadNp6tW/ac3c5yN71sYBpwkVw0fiHOF278q2XUX4V8qVqeg6bP +7PXwe8EPZtH6x7nVOIrR9LEHVFXD3zj2c8HvpfMdEU/S8TLFwNMUI78qmW5r ++VXJtEDbZ/tzbd9FiXr0o/sv7HZ/hSVjNtj5cOie9Gm1yvsYclTcz/HVD9n+ +w1ia+zTbf/jA8A+J+zUglyGn9fhFshG/gD9MnD/taJTHNbkm7jVAO7yHftAO +7yFvSpcrEbwP2BfsE/YN+4B9wT5h37DuvA/GvmCfsC5YJ6vmVxDnDVFi3bBO +WDddjxHnDVFiHQM0/pJJaRp/EectkrT1yKTWmp/EjfUY5LkhHod6tEOeFvK2 +XLW4i7jPocU83Y9zoKXu10E92sG+0OMnokS9nq+abuTzgZ+L8w2oR7vemnzC ++XjRDu9h3lgH5HUjzxvrgHVBXARxEsgRyBVd3mXSOKMf5I0hPgi6AR2BHkBn +oCPQld4v7qu2sR4DvQZ6D/Qg6EXQc5Zp+y/OZ/bRvp9ODbTvpzvkvev6nTgn +gzgR4kaQq5Cz6Af94j30o89L5BPoeojIF/ioyde7hnwN4RL10K91vA8x8mIz +jLwfUaL+d41uM6iORseiRL1Ozzjnk8GlRdvnDIPubQYfECXqj2nvAx9svK5Y +55Uafpipr4YfokS97s8V95G00uRaKhXS5JwoUa/jP+5/SKUH36/u+326B114 +c73V2+w8CKPkeoP/HHfZsic7T2KCpn/EG/pHHJeoB78Zpum5cRS7/8jdfWOP +0/pWJfe37n6Usnc92+/53vCDumr9nuVzj9DjoNcV1PhUIIVofCuIS9QH3KrT +9O85QYb8DDT0Gug5JgPvTQYdmAz9Evl9JtYTIad1OrTSUm19RYn6zzV6tBp0 +bWU9FnqtLWOqS1TpazTP1sE3n51uUKJe189xHv8aXTZKH42/X6W9Gh+LoeYa +XxMl6u9o/DCGGmj8MJZL1Ov5e+K+NZTeWjwqhi5ref4BRt6/P5dcb8gT3Z7x +N/Y30vAXiLyiBlrcJYqGa/pVJPlp+pU416rnG0YwnwHf0fVmm6FHixL1On+w +GfxBlKjX+Yrj+WM9r9TGfAF8YrhGZ4lUX6M7UaK+nJY3kEgpWh6BmUvU6/xW +nFNGuV/DG+HPAh/S86jTjLzqVC5Rr5+LSDXkiShRr6+TOOfsbpQ63qYZ7S2G +XBIl6vV24r4l5D0iD3KVxtdv0Q2Nz9+ifdo+i/sAUep2403Og0RepG4/Wclb +2xerse7ifqBYo9T3ycp0Dz4A/+qc/R6Dm3Q7ynQKuoV/TtefTAZeWAw+ZjHi +Z+J+IZQ6X7Pw+DEvzBPzxrzQDuPGPDAvzBPzwLzwPYwD48I4MQ60Q55DBSPv +4VDTe3Z78AKVbpLXbg+6sb4FPax8vew8GF/qo+XF+HCJeuhb0MN0vvDA4BOi +RD3HdQ1/OJ+jNuCyGl6mGHiazCXqkXcBu1j1Y+l8QOhd4OMrhnc8Eujmwudk +cG4G59R1PBfnVnCOBeNS7S7VjgKMfAg/I29CPr+VrMQBkBcjzn/jHAHiTsj7 +xzkA6HnQ+3S/y132k4PfyONMZL9oc81fmaTYb+J8jG7fJbI/E3qAjv82luuF +Nbkj7hvT/UGplDLn4svsPEbob/W1/RDnx0FnoDtfIw8OcfCJhtx8qun7t5ju +QIfIa0O8GPcM6fqslVpq8fgAltdzNHshyrAXhFyAnND9LEJOII520DjnKMeP +xDoBxjq2NNbVKvm/cR+wxcAvC8elcC5SjmelKfgi4qF6PrCwu2dr8UsR98O5 +LPTH91dK+CviCM5anqSIdzbU8iFNjDfAI/QH/xf6A4z5PtbGl6jEc8zMV8Bn +dPw4Z/R/nrK5+Igdxyibq/ucc+ES9Q2KbCt55NuThh12gvFA9lOYcpx3YY0f +mgx9U5So1/MJxXnqxxqfTTbkvChR31zjv+K+ndJGnBn7inXJad1gN8GOgn2C +cyh4b6zhT8R7gI8aeVL4HvyJcnzJIuavxWmSlPhOGq8f8CwnPFTxDnwVfFaO +/6ax/7JHieJf5u65ie/RbHhn4j+jC3SkQvcOT2ld6J7D/SXnpvTtdXLuION5 +Cj8vk/p954q/q+foo6lvnj9XXt/jznkfJXN3/VTN1Y3opn/p8U3MnB+i0+kj +qtnMPPGbmn405Mcfql78IZDHCfnjl/+1y+jct7n/MVs7TdxwJZw++zFv0qmy +4fwd7Ncl7U/c5z/Dq/mhDnnu8Tg7929nfhz7gAKGHm5T/ONJHkf+fy8XTh0r +7vtvuXljtc+b+3BeQbOM8U36fy/u5y94qqr/wUpmhpNtBa9dzWXm+0ggB9tO +HrqyRT4LvfqUe+vNZBPPyzbdutJSw43HHey69vbjZHE/f/TY0p/1umsSz2dW +y7/F2crwu53OJ/NeMfE8f1rRcXKH79Id7vP3MNe+Zq5towoNxqa+bxTN4+rc +vHvW04GZDLcs+O+liq0eUaG1n5nqTTtNe/9t81uPv9LJxXy3mbWuGw0/cTQo +ul4mrf524bOPJU7Sxv4X9jz42Uz/Pn5xKVcrH+o3y/RgfvUkGh6/fPKrTd50 +bOqsL/t+nU4lnbb61m8UREUn581PPz0g/7hHXicrh5PLuy/6Ol/JokKj3g27 +8ls0XfjR72SFr8Ppvb/1xSl7O4wD4yq2/nZk+sowmjt2afubbR7xdzGOfGfu +zSwzLommrfk36enXZuoXuHLwue3J9MOiF03G5jVTgHXIuhB/KxWftzhqWJqJ +x4lx4z30M6F36P4Vecy0ce8I37vbknkdsC6YF+YZ9e/tpu3/se/DX0uPVvox +nUvUY56YdyvX3LMem9Loz+db9jSfnkXulZen97xso3WlT3cyzT3C++J0bf/3 +zZ1NXI92O7zNrT7c3cPtPjy74puamEITU96deBJu4RL1wMvD1e5/2/2JheVI +wXNffL6yrplL1MPvFRU+68+Gg9K5lH/nz0a3N3j9WHZDJpeob1zq4uC3X5+i +xAqfZm64cImahI7Ls6+JN9lmf1vl5GA/qvhd8a5VanpT27+dJv112Y8+v3H/ +0cIWUTRr74Zug5+E06jR2X+x1KPAjN8KzIijoe/P9t4/Ipayvnlr8XGNozlf +7nC+2SiAVi0fFOGVeISedkjqXWXrXXpd5+iP03/2Yv/IL95dV3w1XuS/3/s1 +cUv9L8y0x7lGfI2aaTRr6JbLcVssNCW27bGi09NoXY3rA56utTCfGv5izsih +pY/z72kcHNyuY4nYq8wnKm1447O9WiwVGPat+VyCVeijxr68OnSqa7nb4nfb +V526k2fX1xlUxO/pxTLTRN7LqZCXwyq4iN+rXBd8o8aowdfpWbcnNRdXd6H+ +x05Xmz7PmxaVO/9r8sITlNtl5PjRMSH0/a5LC/8ZuofqDy73vlZyKP2w/f2I +wPrbqfuuOJdvDyRQ0wu3Zl474EKp16bVCrTrAQuOnujVpfxBGlHgm4QZJxKp +fLPO/44tv4++65H83fQdt8hnztIbvpZrNNbpYf02T+120aO1PxwfeY0mjB7+ +qO6rCHpT2yWgS24PSg+d88/sBVF0dcfdeW+8LtHoBfEhST9ZqPCBZuHj810n +z2F5visUnkI+XquqFfzoQR4Nl6z+2N1Kn74dssHnxWVaaewb9jH5ZsWgyeZQ ++qJWo073jgdS+06n/2heOYZc7tkSPUMC6Enb5AJZdWNoZPEBzS/cCqD4xoN7 +LX4VR7uqVl/kMcSfbvT23m6OekhF5t8a+cc+P9p0f+7iub42qlZuoOngvADa +WS0iuF/+LKqnrU8ArxvWEeuGdQQeAa/ODXpY9kaHROp9OZsAQylttHunl7Mt +9LruxzHjC96l+msu1TxfKpmedfhQ4dC6EF4nrBvWCevmbceyGtdv0YGI/C0m +HozgeWLemCfmHTLBuVyuOw/JpVrpF+4tYumLsk5H/8p4SE3nLjlcq1ks/fBj +9l8i7dyV/RdD0aOLb+5x3kIVTtzbNLdSDF0c7Gn/Z6FLmyp4bKoQQ/UfBH+z +yzeFXDt7rfFzvU8P83ZPyGvfn5Wrsv/u05h6r8sWvp1Kz48u6ffH9/d5nbHu +WGesO/AMeKfNKn8sjWuzaN/U8wmMd8BD4B3wEOuKdcY8MC/gFfAM6459wLpj +HzBvrAPmjXWYsKhLy9LN7Xys5KRlzkMt1P7M5tZXP2TQrzPc+4z5xUIRCeeH +/vybjdZ231D6fG0L4zHwGngMvMY6Yl2xjljXx4UbtMl0SaNkl9b7An2s9I99 +VUKP2KipxhetvM5Y967pbxKX2fnSpEbrCobUEHwJfMo1Zsdc55FZlNT1XJkF +SWk8D8wL88C8qoVsyFNws5U+zP2sSrtcGUwXoBPQBegE88Y6YJwYN/g0+PY/ +NUM6P9t9kX77edUlV9spWupaofLPFy/RzB9sJ0ZVOcX6VwnvXru6NzrDcgBy +oU6Ma7F/7XKg4MZyaR3scgH8d3++nx//sM2bLrxeuqyLRwhtOPPkj1y1gqi7 +IRdGG3LiWtcRm7LscqFOzXKfgkbEsl6Yb+3pwlXnxJJT/Y/N9hf3Uu5VDKCa +/RffKLryOvltiXoaUPAh3z9X4PNW1arN96Ux7qWjK5c7RpOXJUamdYmgKXWL +t3obd4ve3WgY+NPMBKKvVj0oVyKWQlrkmhdi5+NPl24+UMa+zsFlFlbsUdBG +c+YerfNTxXTK//5cg8BZNvru5w59SxZKp9rvX2weMSSQ7W3Y4bF/+pestf8s +6511iowtOaXGEar+aG3/ktfN3B56fWav+Wt8r1xgvW9xb5e2KxcIeyxz0Vb/ +i418Wf4HjBww2S3Dk04nFr/zQ3nxO34v/yl2+urGgyzn8B2ME/rkw46RLqUO +3aSsz0b0HncrldtjPGVnD7l88k0Qj+dk+z8C43ffpDauJ3ef7HtF+V0HMzX2 ++jX0C5dQqplNTt8msb8EesSOV936ux6Ipp//Gn0p7Kk/7yv6CSxw9sdJX8WS +b0i/I13Gh7PcR//R3ge+6e0Xw3p6wvl8btUHxPA6Y90xX6wz1g3rWCltUM/1 +q7dxPxteDuow+vxd5fe4xDywrljnsiUP9OptE79zlrG+a5jvw/sMnz/28tey +jS6xfdDxeprls773GTbNK5Y16oyFYegZ0Duw3hua1Vt2qq/4vdsGk++0rlnI +ynii7hPghaNzdaz8t7i3v/dPy7oFNbdwvyNeHGu6q6w/94t9wT5BT4HeAj0F +egv0CugZ0CugZxw+OGXKxNZRdLHizu7uDW+xHgC9oP+5OV7hy0w0OjSkfilL +DGXFFRk8/KmJ1lbZd6lseAzLRchJyEXISfff+zidz5VJm7/0mf/XJCs5JRQz +L+6dSQFvj60d+KeV+TL4NPgE+Ab4BPjG1LC3rxaXjCDPP79uV7qp+J1u8BHo +ddDzBiVkCwJx7yX0POh9K7elRAzddZqspVYUe/3wPK096PvwYY8gjkOu2r3g +eOrKIKoXMaTYst63qeO24iffzQyi+x4D23zjfZsGjpnkcrxcED3+3n1/aqG7 +9OF+lyMujcX9FLWWfvKruCuZ3vhv/qPOGwu9q9+xlWldMt1LPl9m51sL/V6t +UqJ3srgX/JUm36y0412GndJTqf/xhmfCbHb+/8Q3ovziVLrZuv3wew+sVCJ0 +tMu4XGk06EPHm+/t8IApW7Om8O+jRtLg65FnwybcYjr66srbj/7Pxe9ZVNk9 ++Mmx+VamY5k/xJLH1fz/5G8fzni6t8hcZ59YE79f4IvG9cf7mbie2/12OGRp +tImWvbb19fdM43Z4zzv3mwobr5vo6Xjz7vgKmbR7xcL+41xNVHBEE/8OI7Lo +6uyU99dcTLSmXOtfI+ZkkfOhjanPi9nl4CpLD6+gYxQ+4Uha+Yx02jmp5FLv +IBONrLTul19KZlD46/YeNQNNVOeLat26dbJRwYCN3+a9KPrFd9AvvoN+0C/6 +Qb/4LsaBfvEd8K9WNKhQkVpZdMPzh0uTEw5y3jfq0Q71aLd11Rcf6gfbxzd4 +aUDn1/u4RD3o/vuoSgPP2O1OrBvWEXi9xLfGoM+vmJguQCeBl6busJhN9MWn +dz+FrUmlZ3sa+NR7ZDLKVMZL4CnwEniK99AP3kM/2GfsO/hYnnKbXs66K+7z +Ptr6aL9yPuL364YsW72l85ZwujJ9S9m8/R5Sh7UT7JZzGOsp0Fugh0AvgV4B +eQT/5rY+j/5dWdLGdjvWbXXbmJ412z+kyhuv21fsLPVff/6rLpPT6Gopv8Dq +UUGUf4pl3YhcWVRm3M1CyzZFczu8h3Z4D+3w3vWdbSfGDIim1W8SH1wODqdO +t10vN2odTeO/bBM//244FSi6InRYwSh6/XRO/QOvwskjalGUK92jbetsZ0ec +Cqf6rbpeme9yj4ZbP95z3h9OTkPS4wd+uE/NBi35MGRKOK2oMc5nSrv7VK6r +W59ta0QeNPx2lr7Op6pOg/wNdPCTqX6sLpcfrZnyMZ3Pvat+rPURqQf+2J/F +fk/VbzXn0JqXY5KiKXX5mN8XPm9HGw65+UZakun9+TGny4X0oZ23I0qZFj+g +1fNM0+7scqOKd4ceijqYSk0Kl+pDtd1p0vZf32TGp9KJbXUHxThdpHHNv6z2 +x58J1KzQ/sqHon1p+qAGhTfEJpA5T/k1Daf6UoNTA48U/SmVFlVt3/lISjB/ +F+NYHPf3/Ya3Msk0ufe68h+j+bsYB/rFd9AvvoNxYx4YJ8aNcWLcGAfGBTyE +XxTrJfv9cuVS/bzw61YpX+vjmsUZdG/lZxdfD0mn1/4eL/097PLpx232f5nU +J9tcHWAju/Fht0AyyeVY8WKzpp/ie8xHvPKNylXXm/MCdPwIogOlBj0uZrpD +3duX/H3uyFjl3tJkWjvWPcL1s2SaXCebA4h7wFrO2fF+fvsYWl7Y6+fiY8JZ +z3D5vF/FxXcOMzz+9JY3mWdMDvUlr/wSU3XyYSq245c9dzJFOzxHPdphHPLv +Tlt4XJArnTy7ji+3Ufy+elrarh/zmMLJuVzfl/1N4nfT2q1vc/RWpVQaHR0a +WOKsxUGPgzzMMyA5uPr54/S82a4ql0ccYf2i8ahPJdfkO0KPPhQss7LrTdrx +856wzMperGfef/52SVRuL1rYI/FEgRqhNH9tzPG5PWPJ+erleSFt7Xrx4TLT +vafeYjn8NKJOA/8fb1H79y1M09tEUfC9g/8UDbpJJy+/jqg0Mpr9fhd/eN3j +9qYYHhfGuaL824HX/jpGxw4dsLjONFE3t/6ny147QhdbrvotqoqZ1px5bf8X +w+0PdWxTc3FyDE2fcO7S6uV2eWfoaY8NvQ1xugn1763eX0P8Lvf1Zr/s+cX+ +HHQ/ts3V2a8jTZwH57P762nf2uXN6brt5rwtamY9uF3j3690KWImr6BDP7s/ +s1D/rNMDJjwzcb+jlze59DTLRN8eKPmg4UAr44HdiPG4W8/K/ff7kFTAtV06 +PYo5dX9JrjNCT5mw/eOzXSfpaf6nM0NKZNLwKs2OjPrHys+XdmrT/Gu7Xnls +Y+jQsbmEXnnY0DPxHXx39N0hP+79zkqVWzdL+zxfFvUt/7ftfGErnbCsL/Hr +8yz650bbsaXepHF72Pmw+6E/eq/Oc/nZBRN1WnAuqcwvNrq4uHsFqx3un9Rg +mGekjYr2KlLmu7Mmbqf+rvvTXWMudU+w0Oat51/c3ZxC1T3er3z+wEKJO4N9 +SyVYuF3u6IK/3/oihS7/lFS6SbqFnu/u0fhGmxTq9SqyVJjFQlEv4yveHxBK +zxcmLGkfHSj0v/vtd77KH0GtY150DV6TSHU/u1G1eB0zdUn6qsy3DxPpQcFh +J36tZaaCrwaXCFmYRrsrHD389JaVbs2fmfvciQz6Idu90i+d1s3+/db1jxlU +ed+xQUmd0ml7wQKNKtjHkbC79vxTX4hxYFzwc8u/C2OlOs9X0/DrFqajieVe +bO85eRdla+013wbTiUZJcWPKHKSm74K2F+sWRrPOn5mQGrqV59P6UY/1OyYt +obp+bbb3rRNBU56dX/DN6HU0e97wDoWjI2j+xXL5vVaupB7Lf1tQ7040vQwJ +/XLqgl8pzyVT8/ufR1HcrAe9/RPnU3YUat6aBHLWAlIuTH/T1i7NV6PSAdqT +rXf/mER1dlqzRl7cyXj+cm+Jo1dvrKTEwT9VGV3eQo/7V91+IM8m2pV/fK2p +TSz0z+65gZ2LbqRX4SOGNQ9MpkVXd8/u12gEzXQb9LBs7mQ6ardOh2xYwvM5 +1+BRo/ErL9OF3X8OKHwonHo+zONbodgVmmRu5PF3XBR5ro5ICpp6ie3qAQsi +mwxxu0ATs8J77PS+R5Nq13oZEn+Rmoyp1yp4xH16EFoloO1vF6mbHQsXd39A +N7PVOn83Sn+XWCDcKYYqB3dcX639BabL1gs2zKjo5EEtLDMWfXfFSrO7v942 +pfxlimhT/Mm4b45R1fS3qS8W+PL3H2QVzvj7dgB5XO7oNKPIA5o+dX2H9LIB +rN8t9zNdfFXan86ua7hw4McHVNin9+Rvr/hT3ZdN7FN9SKUHdSl3d5cf01VI +ifp5fh4RQJOT/6kbeDyLphe4O2HzAn/ed+DBvFMJpTrNvUq1fzj26uO025T3 +Xde/dnYS64h9xr5jn7HvWEes67jQlFeb429RRt+7PzTtGkENz/XY7XbyAs8T +64Z1xLphHTFvrMOkGlvs/8yUe+tl+78YnifmDTwD3lUylahsKhFLfx2baf+X +QPuOPou4XzOFTmQ0mOHxwUR+dV6cXnAqhfr1bNPu8EsT4yHwstSSr9asWL6S +8RJ4BrwDngHvKi6xdr9YwUw705+OuXw9iU62+OhUpoSZVj4ZvyBkgYWajBjX +ir6y0pHW37iUv2Oh93Q//55VVtqcNGXtam8L89k52W7DPna679Joy1GPdBrV ++fHFjL8sdGLuqlFNOtj1Eq208P7qcthCVVL7dJjU1kaX7pTd0bmuhSacbFg4 +dHEWXdo7rNyc4hZqEHcwfceQLNp3qf/AaaUsjIfAS6wL1gnrgnXyeDTerfZn +Nvol78UOv/1ipe4dXMuXmG0hz69HrMqol07Xare1NS7jRs+ibGeeT0unGndP +7exY4yzNePj7qDvdMnjcmIfW3M6vCmTzxU/pjJfA06z71X5v+LWYJ+aBeWEe +mBfGhXHCLwk/ZcXPPxa6+rld77s+PnnaLBvt2jDwdJ2OnvR7vu2Ng71c2S8B +PwX8EvBTwO8APwT8FPBbbP03qFpP79v02V+LN9WZFUR5Bp/NN/hsPL090sP+ +L5b9FPBbjLcu+HlC70Sq2m/Q+5h6Zlrb8G2l51lm8hz2fe39jcw0JDtMc8ts ++KXF7zvCj1Fo6YEW2X4J78dzn0T/v/wS8FPArwE/R8X68dXzL06ll5auua7a +RJ5vr89KTTlzV5wrq9+9y7vyX5lp0frX91YttNCR6DXvw+x4XGl+9JOIgfb9 +br4j1VzKzHI2T7WBtukl0unOxZ/n3HC30b4aU5+Xy5XO8UPkIeTR4s4J7HeC +ngW9C3oW9C7IKcgtyCHIJcghyCXwdfB55H3Arws+Dr4OPg6+jjwO2Bngq8xn +tXM7icZ9yzE07OY3lyrOTKI72wpUTx8Sw3kemDfshBVRnZrufvKQ5TTyKKCn +QW+D/ow8Csg9yEHIPchB5K2gX9gp0+1a1qpuQi+Hnn7m59RBW09bKO+3TwfH +1EllPQF6A/Q06G3Q06C3gQ+BL4HPgO8gDwR2GeLK8Ccgrgx/OuLKWC/wRfBJ +8EXwSeht0OOAt8DjlamR0/K5mtjv0/xVTD4/ZxPdqVDNztnFPZloV9g01bLM +bKMyY78hvzOiHd7zPPvi3Z1AE/s5O14IXDsrxETnNyx602t5OrUr/MWhr/zt +dkK5Fk+KLsvguATsfOB56Z0balb4LZPeXim/dsSBDOrQjSKf+5oodHHXUzvq +ZNLLoLiwhGsmCm8VWW/t+UzKN3fXydpXTPQwd1Clg3EmqvyxsfmPamk0t/6B +V0/fYL+SaV+tpdXjn1qoz7bfH3QNset/Q/Ot9h2fRh9LTRs5N8ZESyuPOzn3 +dRq1XNfhT2uEieb+MLB+nj52fvhHcLkNocJ/BL/4qJEF79YuFUxeseeHvX4o +4iSIm9xofi3fgs/C+Rwi/B+IG0Qcz+uz41kSPz+0+XiBN8XC6avJ6WcLLhdx +EcRJ1vS0+e/8N5rxFviPOAHwGM9Bl4iTgK5AZ8A7+PHhp4HfBnEd8IPjC5of +ypd1lp48+ftc72HxtL3brWm1nc+x/Y79A99CnApxF+wz4gjJ43+7lt9iIp+q +13Zd7ZXKdAU/EOIWeA9xCzWPAjDsQ/iJ8B787DEeHTv4XRLnn6A/FN88pfg/ +Jc6wvp2W9OaPaS1usB7zx80qu0c1usbnog8O8Dhjdg2ipxWa+g/tE0a7jnZp +992yQLpYPnTdNbudncf5qz6/Nw7k/l8c2l0j6s4tbof30A7vwU6eke12LBbG +46kU1qjF+w6hNK/HptNL/MJYr/3J8Et6Gn5KvId+vp14yqtkcig96Dzv2J4d +Jrr9+HKRDcGhVPtkRuGhiXY6WVC77PAaSTTVudJc32pmnje++1vT1e2GWbzp +e7d9WccCxDjwfGjVi6XbtQilgp1vjbq3RvgJ8Bx8H3IAfB9yQLbzE3kcGBfW +Hfvw86sGx9o7X6U5P9VPyfhgoYp7e94o96UXFX1SedDigGQ6s71BhcWf0qjS +3ymrhrhbae3xqn4P+qbT5P7xLau7WNlvADwBnYPuQeege/SDftEP+m1R6lSF +XwZmUlJjS8GPzdJ5n7HvB7rsfbl01C2quGjJhZDnGVRT48c3acOqSR4eM4Xf +An4G8DXwOfA18Dn4IfhcpPFdjAP8en39nrkXTs/kEvVnfxp77qexmdQxuziX +Rb1rVE5JH5VJzybkH+F8TfgPvndbtCH5tDMtObRh6sYFNjr67OwK84GjXI92 +qEc7+Bngd4CfAX4H2+97Xi5e5UmfFQgs0e2wK8dDO71oVXnXKVe2v1veTGi3 +/Wkg+w3gR3h5qNfQgh4R5B28auCoqhF0ZmNYz7oXI2h1J6qbZIdrVxyReqCc +uG8f7fAe2uG9W2u97P/iKTOyu/1fLNNVzQFT8zax65/wS8BPAb8E/BTw/5W/ +frNFsTArNfEvNqtxnjS+rwJ+C/gxqjjX6bU1bwa9H7K77i9/i7wv+feqM2jf +uB9D945OZz8H/B7wc8Dv8Sn22bHcRbKoyqT9/3RakUm1FpwNn9vYbr84vRl5 +YEEm16Md6tEOcqDThYzu37V2pmld2vyZZ6Q/hdR4s67oxqOsz7dt4vaNywcv +enJ609V5v4eQaWi1ea+8vFi//jk7HeqAhbqmzU07HppK/95++rjoPgvT2dy/ +R+R7tshCs1LiO1xwSaP6fT3eVVlhob/3+h83v7DRFK0Ufi3L0Lpu379N43XC +uun76k3Zq9Eo6QRtrXMjq9j2G5QY3a3nsEPH2Y6CXQU7CnYV5NuKV5f2uLpd +o8UhE2dsr3GTxrV5sOT0+Ov0zG6FNloeRPVHbLv1rt41mn/tQtkB3c1k9sq2 +Y30o21v3TZNE6twg7FHgXzdoQS1Xu8Znn6emeF/ne7cPP3s5b92WQPJeW3XD +gCy73vPn7iINxti/O+Hhzz0KZdDYDvuH3e0WSD+GOj+sNmAX4/2Jgb3i1y1P +IJp65F6hNmE0trgt1W1PAoV/Excxqqm938Iltn672Wzk7YQyX+y08kDB0NgQ +ahlWzLmESxIdelT0bfzBu9Tp0Ye7WycmU5eA1SP3dg5hvS/vvuwMmzs0Mt/+ +G1uHpdC2L2fn773kDj2d+slaZkkKFcma3LT/qDv0zLCDamv5C7cpcfq+hHe9 +rPT3msShzh636WiVlDaeiy4rv08ZQCk+N798+fY+Tb5bvef+pjc5rnbjWWj9 +X28HsD8Dv9829Fjz3481j6W7ReNDi8Y/ohE/1Pzzh5qxPL+RtbMDgDHk1/8f +//5eyXp+T/J9ns+gUb4lIvbfp8+3bjY1zZNC2d7eD5H3aaBmD1ppwsHshLr7 +TK/3FhW9b/9HLmPcEqvvTaUlKQVLT2x8n272zPe6sC2NYpuenO8be4+c3+Sa +GXAnjezMzM7R7jFfb/PyT3r55z0qlOrlvzEkncqGz1lbZd89at8h+y+DZml/ +9vk6h2+cdiCT8+iDbmf/ZVD+7DSl3+7RzY63i9Uv7s98Z9TKE8GZX4RTgT5F +nTKdH1DlrgXTv4oKo9fZw2gfz3gBPAFeAE9+TSv05aV7h9hu3tn09dKtXxxg +eQw8Bl4Dj4HXwCvgGfxG8CMBz4H3wDvsE/AOeAi8Ax5iH9Ee+4h9rfumf/HI +vR4OeAoYeAq8BZ4Cb4GnwFvgKfAWeIL+gCfAG+AJ8Ab860SesyNPeFoZb4BH +wBvgEfAGeAS8AR4hToT3wRfAJ8AXwCeAZ8A74BnwDngGvAOeAe+AZ8C7d2mZ +B//oK/xmm7rtKTVzWADzXfgzzDMj9v100Mb3wQ6Mf5t32JYstisQ54P8QJwP +cT3E+WAXIM6H+16vZ+fD3HKhXf23Lh52PIACIqZus+y6buQz+jOf1z/nT/eC +qx3e+fi6sW4P6e3YDu/GdoilK7XmvTvWz5dauhxtcqLpMVoyoEt86b9v03dv +qz/6e+ZVqm899djjxm0asG9h1Jv+V2mH4WesZPgdH40NGNzseRLVepd2JKis +mb5/OXnf2zeZ9PeqrcnrKqcLeyjbrJ/lxHYP7CCcG0E+AOYLu2hWtp9zuJke +a3lxh5kuQaeQ+zj3gTgS4kqwg2FX5f/+ud9aUyjrTZA3+csHnHnT3JPtLJxT +gd4OPR72J86t6PnGSbze0KuhZ0Ovhp5dsfObwk2tyVRizZBluSM9OQ60rPiF +a6cDrrAdDLsY64Z1PJtZ8Ev/+vfIZWKTaRWX3WQ5AbkBOQG5oZ6DSckaedGr +YRo1zXZzFQ9m/WPb9FobfecHs54NvRt6NvRunHOCXQ27G3Y67G7Y4VhnrDvW +GeuunhOCnQW7C3YW7C7YSbCbcC4K9jXoC3a+X4nUoa5LbtJVGrGmiH3dWnw4 +uvJV15vU+vLuMi1v3aMujefEDfSxUdz7rz7reEKc60F/0NPLnQorfyosmtpv +2f3FsDHhhjyJoZ7Ti3tO8T9M63dF9UkdZqazcQkTrhfxpR6Lgj7N7mvi9YGf +on7av4sTr9+lM3le5m2/JImurfesU+YL8bvF0Be//HdD27TKKXxOC36Kb4tf +27uy8QXKY+/t7Io0PpeFfca5LNjtR1uu9QrqcpO6Dyl4YudnR+x00Ssk9ctA +qnd10/yApU60usjhqTeqh9JnqW8OeeXyYr0O+AY9Dnod9DLsH/g6+Dz0QOiF +lsQG3w1tYyPv3fvzlj4p/AbwI5ybfm5+uwVBfD9aj3+rbTu7P4h2fdP5YXvf +YJr6R4GQcj2DaMPB1w2TT99hu4btnIP5J0Y0F/ejzU6Y2OFUCzMVzncpOmyp +mX5sSleuNjHTgEVhD/MHmqnXy9XOH5uZ6c9ZPYtPdjJTjyXXFl98gvPlqdS+ +hf/0ia+tFPl7sQKb26VSpaOFCt6xWinPkZUV/zmRynaK/Psowm6B3SH/Tm0A +fbP4SMdfhhzhcTftPKLd9ope9H3La0m29rFUWytxniaGwmu1v+DUL5z9avCz +wY8Hvx78iPArRjZdNDIjMZN6PL436dje4+xHhF8RfkP4EdEO79U79XzCk2aH +aNTksifOD8mihZ3KjHvQF/wni+vRDvVol+tVow6bhkVS7PVmO2oUjaCIpBNt +XiSYmM/Ajwm/JvzC8BMHtC84LO5QqlFa6PKrSgeW10+nXyuOaegy20L3Xo7t +X7hMOnXp9d2d1vMsLC9WnHo0ubstjLJm+Rba1i6evrzRt/7DiDDqVGpnqRsf +4mjSoJ8On4wPY7oBHYFOQbegS9Bp20qR7Sr1iaEDxdIOFrPrY+Db4OPgo+Cr +zybP++fr6Tfp7YPKjwrEZzJfAZ+Bvn4lqH3ojO1hnBdjzu++zrWAmbrW9pr4 +8/Qsqmb+rst7Uxr7GeB3gJ8Bfgf4AeAXgB0Ou1znv3b7fWrTDYXDkLeSQPtH +t3wfWySW8eNo5+P7im+2sp/jVNvjZz5PTGO9BXpM7ZiIB3dN4Zyno7f3pXkZ +b029hntT/N6WzS7f9KFfZj89umWBN0Vuzqhz6ZUP5a+++PSnGcLulPWTKLrj +XrrkxIK3ON8vop194eNj2K6Rf287kxosmvv15HFWGhNwP8N9SzjLPehB0Ivw +O3ZVP4X1dV0oSq43/Nrwc+M+9akrfsz3zZ39XKI+b7hHk3yZ4ndlDnZb45In +3UT9PEcNnxpgpVZXqpv6pppo5nn3qDJPrVQn4ueipduf5HF/VaNHyoziJ+n7 +E+bm1+plcj/od/hs33bP7uH3xcS9/+ENPzXxsVqo1VfV/T+mJ9Os/peeTMqy +0LrJedvHdNjHciOtcbG4XyZ68L7/oTk8/ZlO4GeQf+88iyZeqv5ivV3fnjjq +8YGdf1oYL2rX67ZhXB0Ly0Edfy7QTyv/n7KuBKipK4oKKkhRR5YCIopoQStU +RYUOKL1qKS1StCKtC0aHgiAuVRQtyOLWiiguVFAGF0BBiqwBlW3GBhdkURFQ +gYQACRLCkOBUrDZs9mtzXqZ25s+8mZv78v/7//17z73v3PfNRi75PpcKVibe +Xne/gATpvslnRuax7yyo/vDjSX4SUqBnzMPwJBFZlvn/0r1HSD5jL89LbRSR +g1nGxsPBQmb3/+sHpMyuwy7DTmN+zpnqmHDEQk5vn4R22/wpoThVebiHs5x2 +RsgzBXa5FP5XGAdJNN+hwbiQh8H98nHKMrRozGd6eE9w//Be4Hf4OW3zuBlN +uwvZfC2+cqh6QvHt/9UxYJ0MdQrw6zj/h3ULH9YpoI7jw7oLti+7+j0CDkUd +Bq4DdSk4D9ZXUGcC3If5gLoS4AfgHjx/vunDmDKXNvpqkYlF+5E68rf5Orsi +r42ebxVfqAmpozD72Y98T8gow9T/h65RUpaXBA5EXhDxOur0ULc3/9VWHT3X +J7RJ3jjW8Gglq3ND3VtD6a7DhUPtlLGnUydwoFlTd6Wuw3orXJ8y6YBC3coZ +bxc8XvB2weMFbxc8XqN6s6Jk43bacsD0k05LIcNlwGleX/xtZLBUw6PHOiPq +8DEP2L4M6jzNm6ZTQ02nOmmy30Gnu87NLE4E7kccgDgI+wBgnmHeAU+8Wy0d +EdRLokjdktnDFez5LGrqfbC/j0/egR57bnrnsRZy5PmQ93NfHHrUoLac3uas +ov3XBKyF/OcTeseOaj2lVD3HKCO3SspS8xofqHmO2rWNIwIcn1G792TxIeF9 +oocpzQHOIrIbbxIfEiGkftuhlqsGInom3VLM2y9kcuhBDr0AfX/3fC8Jec+r +jpMrmkl2Ub/roj5nD0wfcUczy2shzwVe4mI1T7GjodFEV19Gz9+3UqqKiSy3 +uqag8DEZ0Tv3yWm92IUff1BJxh4TN2vz5IynDd42eNrgbYOnDd42eNrgbWPf +BMQLiMsRp+P9RFyOOBxxOeJwxOUFnsGfRqh6yDpokO8c0kOuPpPqrSt6iO9Y +T1qRGjn0IIfe4zsjuKOXXJKLuEPJWsixbot13LY0HY8xvB6a+bltfNJBBd3t +W7fAfhOHB7p8nK6tVJDViEKbsKFnlJp22VpyX0nfqdLL9g68IFFsbkDb8Hkq +DbaTTDn1glL38hzT5qXQw1iry90cXkhwftWka57C9NAPeugHPfRD3g55vH/j +rBba3GK3IFNVR/dfFSSUUyulZ00NDs2pY3EC4gbgfsQBwPHA9eBNIt8KPwa/ +5vWuXjYum31XpE17S5dJI+e/t9l8Kd1RzHAOcE/nJe/8rVbVVPT+gT6im3sE +k1psqkl0y2uxdckj5gfhFxco1joo1mK/UzFV8tOTLXyEZDC6cmGSoZjo2N1z +v3rIKGdT+GhfbRnNTzvtF3tByb5DBp44eOPi7BTuUFKCeUS8eUQvw53AobAT +sBuwE7AbwLXAubBTsFuwU7BbwPXA+fD7wAEb1bwm8JxWq2bH2P2YTf/CqBKG +C4ETgQuBE0NLj+pEDleRLIFC1tyoZbgBOAK4ATgCPCfwno53nhu8t0ZIS1ft +Lpy/QEwufeOWxdlrvncLnlOsmvfk+2zdkGielMxcHa+7j++g9AdB/TIR/H03 +bdhtFbSsU04mkkHLYkE3/W5oUthdoqTM962E0tR1KbD3iG9Xt0reRhVp4p43 +G9/VE2p4FeBZCM8uvTxOq1VtL+rYc8c8WKmu+w1X1wFHJ2aW1rTkUL/T3PiG +qhuUZVcbcdhLQNEdi9Y4C+7QPbeK897bhGQ/LVJv7vQWKvcbd2tFgpL0X9vr +Skt6yWz0jVn5Z5W01zI+MKSgl86ap9/TnSOltuyq8UmrOqjzpHHN8rlSejVj +7YTNLh2MVwCeQYBO0YTJXBx/fIW7QwAX12Od8JvhyhW7JzYQL9a4/0W+Uo1j +OH901T+sla8kM169d4JlL1XNchvkhWn2bY21v3kwKL6cRvX9NqHsuoC1kIMn +AN6Aa2ievdYizX7p2AfN7XGUVkWGpoUceuiXYnUluzBXsx/x6p6oRHM3Lo5z +qlbpjdS0kEMP/a7Im5ZLhpVU8VI8pb9I00K+fsvWuiGpkCx9XBLDDwkpxLJk +5sszeZT7wFil9S2fije1KhIP9NDpxK5pkfweivY9eanBQUYeT1W2A6M4uyy8 +ETRg203D9VM8SwfktL2yZlfgzAYaCNg1eUNMA5NDL3lh3Ym0YgGZmvr6OEaV +kzTryelQ7rzTLfi12zuElDrLxHbfNik9f60INeLGj+vAdVnkPREbcfd19Jkj +RoPcfUYLOfqlqP8H58F5MQ6M62PPzy6FlClpx0ftO5YolGxcGCfk0MO4MM5/ +AG9PLFw= + "], {{{ + EdgeForm[], + GrayLevel[0.], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNlk1o3FUUxV8yaZKZSeY/M9RlBDUYW3WjtZmCFXWjghXaheA2SVGwVkzX +JnUlTRsVqqjdiIoIVQsu/CCdMVFIoIKLiqXaImrcTAotJSY15mPG8+s9gjCP +d//v3Xffufeee9/cNvLigcOdKaUfNHIaG/mU/tEY7klpTmNB42+t92it3p3S +mx0pXdDaTxqzGie1Pt4bemuSX9D+jRR76GSSi9rvQCfF2gXbnOmOb+SxYkrv +90mQjbZGkv68pvcqKQ11pbQiQ3sFtCH7A1qf1vd3Anw8C9tLvXHnn4WUFgux +tqiz05q/KYVfTclP6vz3+j4jW5Paf1p3jkp/SnsjwjCq0e4NjHPGNmfM2Oee +OcsLwj+vcbUrfJu1v4+XAjPYC9LP6e5ftb6FX7prU/NfOtfMR6yI97pj3nL8 +wdmQzlmNfZKXtHZFoyadPT3xXe50rAqhf6gj4q9f6pNffxQijrvykT9yx51L +toMuOUN/3feCB2zLGllnrG0YD/HbME582fRZbGxZBsuW9ZlblsHRttyy/po5 +BTZ8BNO6MWyaB/OOT8v6te7IKVwghyckr6awXzBnyCt75zSvKSGPae0zzasa +eyTfWYnYosPZo9siX3dLvl+569T3h+WUfu5PSWIa1LnrEsakc1g4L2pdYjqh +9dey0EH3Udl9Xh95zYOl0H1G8j3GAJZB6/8i/WOS58ThXeZLnzZ+owg1t/X9 +ls4P+yw2PtVY1P4NzQeyqIX9mndU5b5is70avL/JTZ052BWYMTmbi7uQ9/vs +w7r321zs4Q+6o9ZH96Dl9XJwYUL6uxW34e6owSPmJHwE9++5iC/76BHbMfFh +n7h4vDf6BDM8pF+M/09mptaIA7bIxUc691wx6uecc3qXfLzsnoKPxAne08NO +Z4HhCeG81hV1SQ4mhX8A/JpfLoUv+HRK8iuK9UAl/EYfO9jD7ortkw9keIFM +Xqj7tvXpA9ecr0YpOLlWCd0On22VQ76vFLVF7bFOTSX3pTPOL3luukapha8V +gxnxZcr99ZDPEv9x69G/yAM9oS79l6Q/rb3zkt+V/EU+BvcNu844hwx3Gu4z +3PNVMe4aqkQ8iesD5spUFvyG529obVLzxLbgEwMZbhCPZx2rXCXkqVJwjLPk +5QP39HI56oS1RypRB9wLD6i7q+Yld1GrcINap6dS72eF+ZNixGKlO/oXOV62 +TAzJF3kCDz2q7f7FewOX4NTHuntVOpezeFd4X17PwibrxBZ7K5bBhV04MCIM +XwrDsXz4vuB3gXwtG8PnuvfHYuSJN+eO/sjbUc1PFSKfO7R/e3/UBrqn+kP/ +dDH8xEdys+D3iXP1/jjbNh58/M9/eALHJ52j86V4D4aqUafEn3zBTWoE/UtZ +yNQN+SIHxH/Cdog/HK+5xmvuCcjwA57cW46+veZ+PuOewPs44Xp8VVjeLke8 +3inHW4cefQAfT9pP4rGzGDG5tRQ8fTALzsJd+gJcHvfbRE86Yn7ffPf8vvB2 +kx/i9lA11vdW4z1s+j294veRmIOn7rrAv5rjNeN3GX/rlsG83X34lmrk/rp5 +Tm+rW4f/OzOOA+catkM8Msd/t+PAetP/FcD2LxdyY9M= + "]], + PolygonBox[CompressedData[" +1:eJwlkz1MFGEQhuc4F/Zu9253z9h5JkTjCf4UilESMUqjFjQUJpaeGE1IMMFa +gUo5PSURo1Ap/iUaMRb+FKBoaUdlIjEBbLSxAmOlPuNbvHcz+828883M+7XX +L/QPtZhZL9gAZlJ+ArMWsK9sNlYy64jMhkOzWwWzI3ybz5n1kDSTmHVyNlA0 +uxYqZivxL/G728wa+C/gi+GqQX6c3E5wm/xzfMtnZr/BdeJm4fvE2Wny38LZ +oNYCHPdi+PENf4m/m9T8mP9/RbuBXSV/LNCd+vFXqV0FP+DMgR0VcYfkd2DX +QBf2JPFF4tuptwj/K74doN5Vvr2H/wPYz312p7J9Np+JnQIT3Ol7qJzLxCTw +V8EXcg+BPrgnOTtMrY2graCai8Q+JHeOek38r3A2yprFTwrcoVZPRbme47mP +6W+tVTUuEbsZfyRQz9NeG75vRfUagStl3SXH+R/4VjjbA4qcGXgdacY+23Fq +bIevm6Nleqz5LhL16jNuYt9NdbchetoGd4OYg63a2Tx+F1jIa2Y+u53EDxB/ +FuzC/uU7yavGOvYI8Sn3W4fjSaZZxrHu5jOt0/PJWNpZzgS3PcdzVzJprY+Y +U8SeKOvurjHXmvf6iLN8QT0vJarlM/RZnomkKdfS31AacC04p3O/iaR517pr +cG9Zs3TB+duYwB8M1KP3OoU/Gmgnvpu1RFr3b352NNPsPKcX+1kkzbnWhuGf +w34ayb4I7sfaqe/SNf8cvmOmGc5iTxM/WlKsv7EHqd6qvyl/W+cjacy15TPw +HfgufEfj5L8jphlqh77LNNVb9m+rmd5OvSRt+BvaVNHbcU1vIfcfl2aCXg== + + "]]}]}, { + EdgeForm[], + GrayLevel[0.13470488499058986`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmHuMVdUVxs/MvXce9zLn3HMH7B+ttpUq8wAGBnwwzNhWW0WQhyiglLYC +SXkWaNME0lT7SFMe4ozRVgoWaLStDwrGaoC2MjZpFWxEAgFttG2sYGz8pyB9 +CNjH95tvkf5xsvfZZ+211157fd9a+3x80erZq+qTJHm2LkkKan/UmCTb9dyk +wekNSTJDzzmNl5uT5Dr1++Kh/5DmDIbMhcQPcy5TO1ztEj07pCctJskf9LRJ +frna03pyybTqe2/M7Q299NE3M9Y9E/Jf0dz+gvUz/k5LksxVOzaTXtk7Ss8c +vf9OMksk36111xb9bU7Y09XoNadI5uv6tlwyA42W+WOd2/boF0tJclCyW9R/ +Rnv/QONjeZrctmt8XdHyrMNYV4wvlvy7kpuk+T0Nbs/Lhr1q9+l5QjKvFd1/ +NXzzWvjnZ3JMpv4b2ldfNUk4nAWZZZFh7gnZv7TB/mA+eiU6NLYs/I+flkZ/ +o3R2qr9ebU+jbcKe3qr98Ff58jF926z+N9Mk+UzRZ8fcO7WPOTGnX/3Jamuy +aXKjdXXE+RMHM2VbnfQsku/+K92r9b693md9MVaGzrfOdmMze3o19s6arE3M +jNbHcWo71a4cprgse23WY13sf0zfGrTWJNm8Tc+Nkv+IFlshvyzS8wW9j9L7 +vZK5MveZlvS8r7ltRY/PlExjjHPW6GZv7JGxhpCfq7HN6o9W/4U693sSy3aG +Txi7L8bf0/qPqr9W/a1h2991jk9VPf9mjS0s2Ve5vnXInpOac6f61+Q+977w +YTFsGKfxtyXzlPS0q/+ivt2eOQ53lBy3rN8fNhyts74p6h9qMJbY40q1K/TU +NH625D74Gq3zfb7eMdweuFgbMc4a6G/VpEFsUztSOl9psA8nKOa7m/2tWe2a +gnUxHzvA6ndS+2lD7njqCT8jdyDWvVzjhxvsL84I/YfrrANdYBl7l4f9f1Ls +tsJb8sPhgvfG+JPBNcQeOH8TXKr/uuQVSskVkv+z+sPVvzIzx4B35G8rGFNg +jbFDwQP4ABvmBi8xzrzFcY6cEfELBsEoOJ6v8RbwrbW+pHaMznRiyfFxRk9Z +a1+rdpSMHqtvSyXTpbY+NU/V9P2rmru+Ij/DQ8LCzrL5d5zGp2n8mM7tau1x +j2xUNzklmXsqPpNvqP2V3sc3O56LEefjJb+rzr6aqnO4udE+6ql6n5Or5gI4 +4c3cfPrzOvt6UDadlW3PZcYovsZv2/T+isa7NbcnNa4eV78jtU8fVX+LnjbN +2aSxT+j5m/T/UGNbq/bpNrVf1ryVenZL7ykpHtCmZsvQifUek6lD+IdH4JDx +8sP+snlqlfY6VXs+2uQYHIzYYj56blG7QjIzy+Y28kV3+OKy1LE7QjLTaua7 +OWq3l81B8A9+JAegExvxiYaTD8uGitbtbDJn4Zf7U58/+Y8Y+L3ef6Lv72tP +rbnjeFzV/Mde4MARDc5VcOB+6by7YlyRQ5Bh32AEroFHbsvMA1NT4/FUwXg5 +IXs3au4szT0tmSu0xhm1e0vOG+TQu1PHKDlnp2QvDHPumqX9/nuYc/6OsmOO +eKs0m8Ph8g0VxyUxuSbsqkZOh+PJHe8UjFv4Z5Pk35KeWyVfrthfnZFPeoI/ +v6/xk8Mccy+pf2+LsXF/7nrgvNqHtYcjGtuZOceiA7/8JbcseAIPfVFbXFKz +3Z1qH9S3lySzRe2piv2Lb4+ov6XFeX5+Zhx8PjWGftliHLXl5tYOtd8r21bs +nBNxcjJ3Hpwe+++KegF/fFG6uiV7XA6aLf0DsuHS2NOMyJstuTH8oGSfyey7 +p9V+qGTO51x7U+MLnJHb8C18iF3EA3Hwj8y8+c/MtU1/1EYzNLdd4z/GT+of +kp4HMuOgu8VYuFTt49rXmjhTcg+cdkvFXINfN+WOzUHp2Fc29sDd83oflA1T +9L0/M64GiLvUuWW+xku5MQ7WJ2hel551zc7pCyMPwqMLg0vhP7ibvPMfzblL +4+tTr7cuMPG5OC/ODT4+GJzMt3cjNn6dmW/vin2/qEfTh3QsDj3w7qEYT2Xn +QfWvSS1LH14F9/iGcz2X+9w+lhoDWWD8XOZ479L3eZK7I2ppcjL+Jy+PabIs +eKdOIfeTp8lD5KOK5k5rdMwsj1xFznqjxVy1oGDeoU6fF/rBNX3qkwuZc9Qv +Mp8j/gSf1LDwIrg43uTz7A3fr4mz7qgZ35XMdsIf2EosrAm+pU64qtl5m3yy +Ovj/WL3rPd6J05cLzhf464PAQlt8Rw/rwzFglXz024J5eMinavsiN06IugI/ +3xq+Rg795C/2dDz28lD4ijwPvn7aZK67OnV+nJW55jkdNQR64QD4fF/J54Uv +78tsz2ZqrZr321Yz/8En2Md5gkvOlBoIPqbPuXCPomZ8pOo6ojv1ek9Gzr1W +er9L7sr80G+o2qfkLey5ruZ+L5wmm54t2cffTo0VnD4qME5t83L4D59vyLzW +RMl+K+QvVB3HeyKHzg074Y3XM+epe1LH0faw/wfBmXAnvofz8D9+RM97cTfZ +G3cZ8Nofd6jtwdUPxx1toPH/9g6EDLGVBhaORFyDAeLkWMQK8T4h6g/q4qlR +q1Cz0AcjF9/xQyF3vUHdQf0IH3I+4AlcoWNsYASsTEl9dtTmnAFncUDjnalr +pWLudabFWmD1cOQ1chd8BIdQn1xfcI0CPy+K/HdV6rPgTPD77qgZ4Oy54f9P +Rp4iX80L34Nl6np4EF9lmfWfU2xfUvK+sAPfs18wtSzuUOTft3L3q1XLEavY +/LWy8yvYwrfrw7/wNxgAL5/V3P3q/yY1JhiHZ3ZlbnPp3JP5zrI78/f9ITMy +7gQ9wTngEuxT+4yI2oa9U8ewR+p9+i+EjczviTjFp/gMXodr4JkbcueUWu5a +Zm/cy8D6YNjPPZA7xNaoMY8FdhbFHYtz4d42Oe6wyJKX0TMhNWbBLvEzMu4g +l4fc6LiDwCNg+o7gYew4mzmPP5C6jmuNezQ5hHHwdzrmXsyLtDdEzBL3nOOQ +zfV+74x7bx41J/UxGJkW8b8q6mK+EVdPR/1wPjNHUUPgV2JnddTVnBsxxL5W +h07Gn0itjzsod9/FkYufi5q/VDWP5MFD3N/Jy0McV/TdhnsNGIcLwOMjme9D +n0qN4ZVh//W5Oe3Tuf/ZLIhafEnUwBf/IxEz3A2H5baznDtndcR/DHQSv+x9 +Uu57967UNS97nhj1PbpbI0+xLrlqY9xh+N/A+7j4X8FdDf4fH/cb2lrUdcPD +HmoL6k+4i/jfG7G3I/I490v8/nbgjn2QO9sjt5FDPio7t8bddXLqfzbT498O +OWBsyB9Nnau4fx9IjSFqMepy7jXk7GXxz+dE3C2pedaGf45ELr497gvcG/qi +lqdeZR9jYi/goD+wwL8G7J+ZGjcn435BfBPP1K3U8NSPcCG4IvbgVuIBO+BM +6k5i8V+Z89ThyN3/A7nTZ3k= + "]], + PolygonBox[CompressedData[" +1:eJwtlltslFUQx0+7u8Du1/0uC+iLYExAeoFSttACrXgJagXiAkaTKgZSEzRW +KCYmEiNgiLEXoC1eKJC2m4hKscoDmBRtWkxUFBUJhAbUmCBgNL4o4IXW6+/v ++DDZmTOXM9+Z/8zsTQ1NK9cXOud2QnHojyJ46McJzj2SdK7F5zfh3Dhof+hc +PuVcE/oO9IvGOedFzk3Cbx36Ivh7sP+owLkcQd8MnJuK/XrsT2H/53hic3Ys +5twn0Hxss2nnBrC5H109NseJMZPfycTeAt8MlcFHxHsO+8kZ55LkdRR5Evx7 +xK7GvxyfOZy7yGwbyKcAPovPAfJZg/w3+VdhO4LPcmxn4XOO+x/lwz8kn3Zy +C7FZjDyC/CryGeQssh7pALEehs4T73HkAfSpyL69CdqJLg+1w++AitFt8pwb +5L4h7LPcuQR5K/KZCfYml4kxnfhz0XfC56GTMXvTXvibibFNsbD5NbA31dvq +bAa6d8n/kmexK6HPuP914uZ4s87IclJudxAzwHcptst5gxS2p7HrCOzb+/mm +bfAXyO0F9Nu5b0XScl3mma1yvoH7TiIfRldOzRK8z1X8nxZ+4A9xZzfnd5Nj +P/HW4d9DvBryacf/GvrX+O1FP0RuffiMJ78u7i9D/gv73pRhSznOoMbziT+M +/Sn0s7k/7xk2N0L78L8vZjWuRN+VNswJa8qxGP95ScOUsCXMCDs6K4FvI8c5 +wir+8/DvxrexyLConD30uwoM75fw9zzDkLBTpjfBtoWzHPHSceudlGc69dBu +/D8nvy+gWuKXRoaNY8QsgV+WsdjqqdXwGc6eRNdIrInw9Zw9lbI3+Bb5fGS1 +uYh9A7pWz3LQ3cK0sPasZ70gzI1x//f41lGfUfgbySFHfA/9rfivzViNVJul +8KNpw4ow+TP2K6B25A5oJfwtGavFBuRF8NnQvm0i8b9JG4aEpQ842wF/MbLY +GXy2qj6cHUfHJ7ld8NsDs13LfWfxfxlZbSybVwLrCfXGQWJW4V8NfRyzGaJZ +8iU+zfCroGnIe8nnctzecDq2byAnEoaxhciHsHnA2Zschu/jrBfdRnwWYptD +/g7d9ZwNIr+tb0AuRX8Nfg36K8hz0Y+gnxLZ29xFjnuFz8jeWjEqIvORbwPy +TPixyHpTNRiF78dnX8JiDgbWQ+olnS1An4R6iP2Oehj+9sj401A9/BEesjJt +vaAZ+j7xjqAbgBZrFobWizq7U7NE86LIZoUw1RJZbTRjW+FnhVYL9YR645/Q +Zql2gHbBZuSz6M9BW+B/CezbT+Cfx/9r5CBuGN0f2Wyewp0bkjaj+zybIZod +OtM36Ft+wn4a8V+Cqgqtxj663aHpijnrgt+M3kd+EJ8x5BcD2yWPcVaO/Ftg +s/I69G/B1waGVe2MqfjGI5s1wkgCviK0XntC3xxazVX7EuR7sV/g2+4ThoSl +soz1jmZCKXwdMYYTNnM1e3Wn7hZmDgZWc9W+EaoODDPCjnbKat/u1N0n0O9B +vyqwXaMd8xB8BqqLGUaFVWFcWNfO0u66EvzfG/hchb/Nt92lnlXvDvs2a7XT +LkSGCWFDOR9F1+bb22qGxtDNDu0t1YPqxWbq1ebZLtCM007WbtYM/xTfIWye +d7YDhuFrfPsWzTzNvu7AZoN2Wo962bdZW8GdrYHVULUUZjaha/ZtVwtjwpp2 +rHbtM8i1yD+kjdebFGJbE1rv/tfTacOgsKj/IHW+YVRYFWa+ItbvgdVWO1q7 +utO3XNRj6rUlvs1m7TDtsn8B4osoaA== + "]]}]}, { + EdgeForm[], + GrayLevel[0.22550669000253787`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmXmQVNUVxt9Md083M9Ov3xtXIBFM0KiouER2QUQttyAaE0UwGgVcUEYY +RBQtjSTRxJgIiqImElNGQazIooIraCWlAQzIuIK4KyiEipKooGi+X74zZf54 +fc+779x7zz33LN+5vec5raeMr0+S5G79FNQemiVJazFJvq/2tYYkWatnivpv +Vt820buo/bzB9M4a81mD36E313kM/MvVrtDzpehN0f8L0bfX+Vt30U/VmYe+ +idEPf8caO2nOcjlJKnoe1PdPG7zeV4nlWqfnUvH0LppmnT4xBv7Pg595JpQ8 +zyVql6pvmZ4did/h3030KvWloo8T3UP0Gj1n1FvGlSFbt3rTyL6adTV+oPqO +yZPkT2qfSZPkfj2tog+qSZ/6PlvPleI9Ozf/Jn0fqW+zpPBRaj/Rt3b1t2vM +Un37o9qjxNtb9N/Ec5N47hR9rPr3UP+tel+h/tvULlb/r9V/qOieRcu8BtnU +vqBnuL49qbPsrPkP0dh54ntbYxfm/g7fP+q8d+gBieV4GLnV3iL+5eLvpTnm +l80Hz7qwDXT+omT4q3hP0JxtcU6c0S56n6J5dlST5EbNsUTfdlF/Q4t0Kf4v +NO419S9W/3exDa01SP0Ha62fqP+wen+bwLpF6xmZ4MF+OuTmvOrVN0/tXXoW +a903NOZNrfuweAbr256J1z+y3mu9rPkf0ft3RHduMB88H+rZLp431F6sNVcX +PP5d7eMLte+of3zR8h1R7zlomedR0UNE7yr6MvEfVfD7eZJlvNY4IHHbGvR0 +fb847HCw2iP0TKqzPIODHqf2wuDfoXnuL/sdW4AHmbEP7ORjtffpWSe6t3SY +drKdn1zndZbGWhc1eF7mbFB7TYNlviG3DBvU3qHnPs1ze275x5Y9B7bDHpB9 +TNnz9Aw5mRfbPaZomvlZm3W/Fr130WthC/C0xnz456fhX6slf0HfFmndu0S/ +oO+z1c6RrVwgvhbRwzVnr0qS7Kf2fJ3xnOYkqWqvT2vMVPGcq70vFf2x5NtU +Ne9Bwb8M+6pYZuS5quK9PyveNtGz1N9VslxRcVw6silJRjQ7/t0iGQZo/ETN +fanmvUbf+mjd9/U+Q/xP6/sKPQ+K59joW1DxOY4u+/w4uw9ynx8+fZueo0R3 +Ud+dmvPkRsWcin16u8bNkGy3prbbttzzjY85B5XNe7ja7antc6Z4rpNMk/QM +LHuvUzt5/Xllf6O/v9aqNlk3z2l/T4ruJ12fqPH91f5APvpGzbF4Xu4xmyrW +/QUau0ZyPqe+weKbqTm7af0JBdNPS45T1J6qp0Xj12r+aeI/umg/WlKxrE0t +phtbbKv99cxX//4tpl/SnHtprf2bfDac4Q/VnxUta99Yi4dz4GyPU/9m4ny9 +bXlG6Irzu6niPPWX1HYyObevdYl8hD91Dp9Cx13DB7sGD/TD4Z/w/0rj9xd9 +fe7vXSOXTcmcGy7PvGd40MMaPW9p/y9o7Nsl06tFz04dpz+Tvj+S/Heo/zT1 +vyL65yXbSvfcdDe1R6f28fsi5t9Scp46WN9Gqu2ndQeL50Xx3C2eg3Lz9FI7 +VP2vqv+emnNFj8gXt+SOe9v0/cOC+4mryIisxL1Meq2VvUYaNDwd76si/jVE +PDld535eo/U+We3QJtvWWTrfsXo/scXnOj387nz1DWv2OzGCeYjZ35KsP9L7 +t5FZ8k3EPiXvBsn1fsmxmvYDPc+K7l72OzTf3hP9qtqeGnuqxs6Rft6Jfa2O +eL8h5jkv9zyfpf7+bux9Z70P09hOLc5x5LduiX0Q/8OursYfy8YB2CE2+LZ4 +79acB+qcvuzI9erft96y0DIPeY58R34E02yoM45i7S2JbYYz4Ww4r/U1Y5Fr +MmMc1kem0ehX9Po6Ywji8bLU7/RjV9Mqlg+Mgg8/G3lldGK+MeTE3HGJ+LSH +2ofqHD8HR87DR+Bjf4zbXPBY5r8v85jrNTYvmmYsuAmZifPPa72VZWMK5P80 +cBo2iU1jz8i7JubknXyPvc1X21fvuyfGbmC+3QKTgAXRH7rfSF5KfF7gS9a9 +V3t/pt4xeoH6+hGH1D9H4ybHGOwcvLR/0bgVXAt2JY9dHLnsd/o+o2C/JQ+O +jtgOVlweceACjT+zYFmJn8PDbsCDVxWNCXmnHxtIpLd/gkt0tn1znw9Yso/4 +/q3+K+qdA9eHzsE80wP3bK3zd+TsVfI8nMkvtd/jC84nBfX3V7so9NEW60LP +DkyVBsbDlxcS6xLrB8xF7IPn8Zp1PC91vMbedwQmpx+77d3JuYeY3Dd0zXmN +LNkmiOHDw6aQYVngE/DC3oErsN1pReOBG0T/NPNZnJtaxxNDnvbAhbz3CMyO +ndxWsH1iA+SuXpG/iFtpxDFyxWEl2wt2hG1hS+Re1gRPDtS6W8CpNc8HL3Ne +XrS/cSbkPvLQssDOkwM/X6T+sXquDYzTFnYIPgIDsccukXfILzsKPkvOcXLg +GXDNAeLdGL6NDqbGWb8V8Yn4sG/oAH2u1V7XVezX7KM+9kKd8XDUGgv1bYGe +EWXjD/x9lnS7T267Ji+tjhoCzF8pOb4/Gph3ceDnJYHfiV1Ti/ahKWEPr0WN +wPljR9jTyvATaqiZ5Oqysf1u4dvYyWNqh0Zfl5LzIrEP+8UulSaSuRo3R09r +2e8LY42hBeM03vG/fmF/awpukWFF+CXr4YfITcwlP1HLkI9m1WzzA6SHn2W2 +9WG5a0Z0QI4D44PN0ME+Na8LThwb8YBYgYzIjYwde2Nfx2Wmd9ecN+WOSeBH +7B8ajIoc+ATzcBarol7r18kYCJsjfs8KnstLrrnQ3b2Z43a/1H72UNgGekHO +zuF388N/p4q/XXq4Qu2Pa44Bw1PXzeWonWs156npqfEJ2IRcMD1i0Iyoocil +YvkfztsYeeyD6CcXb4t7A/AldvdYnPvQsC/0MzlsvSMPMs+SxHvljNALmArb +nxcY4L3I40PUflWwP80If0ZGYiH+wDs+uTX68QFqGvRAHcv87drAoNyxkzqb +MXfFXsdGPO6Iu5vCZ6mZpoe/gV+GhG288H/1YmvggjGBTaht0UlbybaLrexX +s12B/afXfJ/RR/QjFWMVMEt7wbpDb+Aj/Im80yXyD7HxiKglOadnIj5hV2Dn +PoGfyck7RV5+I86Js6NGZx3Os7mTYxxztAeWZZ/9M8e/OVH3PBPzE4vaIx5t +ifNbEjiHOEG8AMfVOvkcX5Fz3NhkfI9uiN3kuGGp7f1xrXOv9LCWPce9ATTx +Bzz7ctDca1BTHp9a1/Rjn+BlxrAudef4qD3JkeRKzoK8Cz0qNV7jG9jjocDl +pwQ2/ij6icUbA4+xziuxFvl5c8xJziB3nJl+E4M4L7A5dOfIU1tiv9y9vRj9 +lxS9N/b1n9SYdYz217dou8beltds5xel7vsq7H1r3Te2j32CH7BR6m/qXmIX +NTa5dZXmeKpmnie5W8pd/6xUu7Vm/k9qzo/cBREzqQnx3TfVP6pkGhvaKjne +1Pu5uc/6tZCfWpBaiDqIOo78T0yizYP+V822sa3q+rElcMLA1HGYeNw1t90P +Ut+imvW/UO2BmeWbEXdjYC/i+9zUd3AvZr7LwD/HiWdc2TR+ii+DsdDTE3FX +xp1Z98w8d0QeRu/oHB33K1q3u+aOubupnRl3ZdyZgQvI2dgI9Rz2hM2QY8g1 +xDRwCBgTrNIvN3Ytas2zUvO9JLqcea0F6utbMs+msKP2sCXyF3hyXMS3aYGX +8A9sCP2XWxw7Kmp3L8VdIX6aG8vup3ZYZizHXeZbVfvKvjXLiN0jJ2M+DPun +3mnTt5PRTWb6bY17PWziy8x7vTJkOzTuQdnbxtAD/dyLrA2sQu0KLjs97n64 +ayNuDkkd3x7IfD8IHj1I7bbcmH47fpE6ThIv/1Dz3d3va9YFds5ZY/8NcQe1 +V+p67A7NU0ldA4zIXFMRE6/S2GNqrhGPjjs2xmGjg2qOX9SjG6rGggMy443r +A3Ps1+I83bPFMXJ01EjY++iS6yJyC2e2PfIzNSE5emjN9euxautTx4aNVX8/ +v+T4Sm4Bf5BfrkntL9dJD6XcPMXc+Ze6ldyJX7ZH3D5BMo1RvT22xRiSeM4+ +OT/O8aTMe6ZvJ+rHqu9DD8mcG9k7cXt81ETkzmvTuOPJnQfIF+SbuZmx4/2Z +ayZ4wZPgyhlBcxdOHMQeTgvsAQbJU+sBfSBje8jZrew7llXxrI77YfIo7xI3 +uSdzzfPnzHtmPDiBGhbbID9cH/Xt15nz8nFRM+CH+Fops+9SUxHTD0+NVcBu +/VOfGThrXOr4sC73OVDnELuwV+z2hMx4Y2zge2LTmYFHGQdeIV7j8/jH2anr +DGoTfAX/nhX6ATtxn0XNj2+Cj/HJkZG3uG94JfPYlzPHdWLHpsDt3F0Tm7fF +/dF2tXW5bTLJHVOJEWsi75J/T9Lcqb5NVP/NqWsbahz8cKfcdIvaTM8k7sqr +xvbQ1Jv8/8JY/LOZ/CK6Kff5tEVdCs6cEDzcAYHFwXrICz+4k+/gUPIXd7Tg +HrBOr5rz7ddqz4k6kXqR+90JwQ9mZY7G3BiTecCZrA3uAhefmHlO7pyw2cui +5uEMwKPE7VHa24hq3LOWvE9sD5vk7gl7pX4Fx4OFwOzz436sNWqW5sCr8IMB +qYGYZ1HUp1nkhmsbfX+KXy3nbrjqe9z5uXPYhTX/P8J4bP6SqIeqgS27xX8n +1HnUe8Rq9jsn1sIXwb744BlRC4KBkatbyAYmnxI1z+JOjtfcd/xWeG1ds3M7 +882NOckhZ8Q8C+KOZ0DINjfkOzzuowdGnUTsp35ZGHdoyMkaY0KHc2OPzE87 +IXROncX/EwdE3be+7NqGmDQ25nwkd//rUspvJPOkwBf8Z8D9Y8f917PBT0w7 +L/7vOCP0hl6u1tgnmn230aY5nmo2jn4+6mhkZu4bmjw/ep8QZ8H350MXK4OG +f0SM/d9/ahXfxyEL+YrzJWcRj68uf6PXq2Ps32UPF1Y9jvjXLWzvJa0/u+qz +am/0ff1zUVNik9w51DX6PwxqAP5zGFn1fwkd8mGr3N+MDv1f2uj/Cag54ZsX +Z9jc5P8SuFvhnpf7UOISuZT/X/CZw+OcuesiLuAzOTEq913kq7kxVxZ3Mu/l +XqdJtn2d1hzRZHzAfxrc4zBXa9yfcO49m/w/AWc5UO38Jv/nga+saLSse4te +2Gj5uJP+XtXygh2obchX+OyYsMcLw36Y//jM8bamXPl67ju19blzL/8zUqc9 +oDV7VC3jzrFn9nt0bjnzzLV2Gv9xcB7YHza3qNHyIRv1UBo10X8BZSghsg== + + "]], + PolygonBox[CompressedData[" +1:eJwll3mQz3UYxz/2tz+79re/77FSqQlNpyOLwq5jxVKSJGlyVpMlpQil1JhC +E6XLokOH7pQmK9KFjqmpaKJWlLNjwlBNd1lUr/e8//jM73k+z/t5Pp/P832u +34lXThoysSCEsJtVyNpeGsKskhD6wQxtEkL3fAhf5kJ4HbqmKIR20OORzy8O +YSprcxLCmdkQ9jYK4fIohA3IRqEzB/wy8I2Rd8XWuEwIHWPspyFUwN/Koa+A +v6AshG7IqrFbA/0S+GLsvYm9/tBfYG889vLY+xh7X6LTDTpiHQN+JnyKvZHo +HAJ/iDPOgK/BZnvotdidin4F+Er2erI3md9S+FboHouNGHoKe1XITmVdBj0R +G7vQG47NpdD7uM8w6Dz2KrhTB95ezjoF/GjwV4PZBv45MBnushL8udAjeG89 +/G/IT+G829Ffi4/f5f1dOXdxYllr+EegD7NGgW8KPzvyG/SW6WD2Yn8xfC9k +r2G/B/KLWO2QNUdnDboDec847vcJZwyBbol8URO/WW/fyX3u5N53Y6MKegk2 +W4I/UuRvrDfoLRvAPxjbB/LF5/BPwKeccQ78t/DL4EciX1/ibz2i2N9Y3/pa +VgX0GO7QhzcvQGcAuqeBXwm+CvwD4Adxh7oCf9N2YOtyjjnF2q36ZmB75E13 +FJ53TStxzCgG26JTiew9bBwNfTLYWjAHkN3A/lru8EfGMahYLIO/GmwNsV6A +b4Zz3ifY2w5+G6szmOv1LdF5Huy1YP6F7o1/v1Gsx/ZdLfqdoDuwJsGPhS+H +Hs7Zw0r9Nr15I3sZfmezfuFug+Hvxd6HrC7YXsGqLPQZ62N/izmlvou+yW+K +yULrSFcxq9h9HvlBfNcUfhNn1yunEp+hswaAzyGrQ+ci7jeVvQrkX6Ezu9h3 +rkgdi7fhgy5NHJPyoXypmOkFPR2dTeh+xBkp9orZW41+A5iF6A9TDEBvJB4v +hb4gdS59wN5m+Zf7vJzzt1BN6JQ6VqXTEfpV3vto3rGjmCjnvPX6XsjbJ/ax +fC0fFcGvKXVMKBZ05xnyGdh1nN+b85Yib5tzbVLNUA4pl4TZCbY/Zy6HfpL1 +DrILE/vmafhB0D1ZM+CXcMeuYLdg7x7sDcFWwn5Dat/LxgPQ13D3+hLXJsVQ +CXudkU1EvxS6kDPOy9jnW+F3g98Fti97h6H3snd2Y+6Fzh7o07hjc97bHf50 +6Hcj31U51w/5o+yt5q2b0H8c+lnWVxnHrGI3D2YyZ8/gvFp0RyB/CPnDrJHQ +Day2YI8FswJ6JvjjOX8i+A26H3vNCl2DdkBPYL2A7gTuXIc8yxldFEuqN8gO +8oZmwW+O4S9mzQdfyxoKvRF8Odj2qtHc5yn2NiObBH8mskuIpx34eCw+PF/1 +ir35BT6zFXQlOqt4bwvtwZeAeYO7fo/Nv5Adw52mQ1cjX5b4TJ19P3utkZ0A +fwn8LejMA989cu2sUr1Fdn7i2BFmIPRjsX17HffbmbeP5Kt97K2EXsCqa+QY +XSQZZ7wF3xd7zaEfjkzXIz8evjWYk/BPH/baQL+HvLbY33we8nWceVzWNVy1 +vHviWq8a1S1xT1BvGA8mm/oNeou+mb7dEe54c9Y+ODpVklLbsu6J6o0t4e+A +38p9+sD/Grv26Jv9An0U8puy7rkvqj7CT4N+TT6FviVxbdkN/zv649j7Qf2e +9Q/8+5FzRzV8Jthc6thXD1UvHYP8R/wzDfk25IWp3zIUeVvFNvznvOUzMIPg +u7KWQ08BEyGLWVOz7qnPon9hZOwI7C3H/jOsLRnnQDWyKyLPIjcifxvZk6wv +Mo65Xsj+SxxL8lGj1DmiXFGN/T12j1ev7yyfJe7h6uU3wCfgW6TOVfm0FfRz +6HyN7e2sftg6HDvWFyN/JvIMo1lG36gZ+FGxc1E1RrVmWeS7KqcqkXdIHJv6 +Bk319tSxo5rxOnSnxLGpGUCzgGYezT5l7N2OrbjMfUc5vAv5IvZ6gN0O5gr0 +D0SmVdNvTjxDaZbSDKRZqD5y7VZ/HQh+FevTIvcQ9ZIa+G/R/471Z+QYUCyo +JxShn4s9Z6kntylzTio3lSM9wf7N2pN1DCmWDkbuJYdZjcH3j91rhLlKZ6eu +TStYu8A+FHs2UQ4qF1WjVas1g74Y2efy/X4wq9Rrc67hqt0Xc6d58PflPNuq +po9N/Rb10HPAT0lde3fy5tXQ+8mvH4tcw1XLl8SehVSDVYtrY/cqxWyFfAt+ +bsYzoWbDA/C/FnmGLI4cs4rdhZzZAfvlqWnV5IOqL5FjXzVctVw5qFzUDKlZ +UjmkXJLNd1Q/eFujEs+SmnE1o2hW0Yw9IXKNVK3UN9O3a+A+1RnnlHJrFPKf +Mq7RqtWvxq51mqE1S+/Le1b6mb0eyP+LPetIJ8CPjixTj1GvGRLZ96ppqm2L +OONQgWt2ju+7JXFuyafy7ZjE/wVUI66EPitxb1APVC/UN9e3V838IXXPUe/R +TLcOuipyrVWOK9cHRJ5N1YPUi+akzo121Ji7oJtwh0EZ36kB7I68v7V8It/8 +jc7gAtck1aZrYvc+zXCboLskznXV9G/AL01cy9SjumFvbuqz9P9pVuQer16v +Gqta2zfybKmaodqhGU2zmmbyHcjT1LVGOavcbZO6l+lOp6f+77G11LGs/yCq +6artqoGqhZp9S3P+b6IZeHDk2Uw5rFwek7qWq8eq1/4P+NHR6w== + "]], + + PolygonBox[{{4579, 1093, 2691, 3292, 4693}, {4690, 3273, + 2677, 825, 4580}}]}]}, { + EdgeForm[], + GrayLevel[0.3163084950144859], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmXu0VdV1xs+9557L4d7LPntfUBHSRptEg0GUhyQRtSnWmPBQBI1GMQo+ +UgumzQMEolBAINaRiIIj6RgdDRjA5oEPiqYgxkQlmMoYiYLP8tCYpKNqRiTi +NUbUfj++r8M/9llrrz3XXHPONd/n2Jn/MPVL7bVabat+6hrfadRq4/Ws1vyj +nbXa8Xra2mq1hRpX96vVbtC4WM8ewQ8TzAHBfrNDsJpf0qzVhuhpF3yp9RcE +P1rr07W2X/O61rdq3KVni54nM3+5/f33rYI/S+/bBHt8zWc80mb8G4VzmmDW +1Dyer+dtfbur4Tnflxa12iDRc6is1ab2Mxwwp4i5n2ocqb2TS+P8cOX3n2k+ +quYzHs65c9vMxwjN+3WYNuj89QDh0trHWuZle9a/3WH+TquZ12ltfi91xrf0 +7Wyd+aDWf6Jng2iZpPHX+n614Fdl/bbIY2tw8s6e7wpmebe+9dRq12rvSOG8 +XbyO0nh9l7+xvkbnvCz42dr7qL7dpvFLOvdsffuN1mfqfaLmb2r+Tc0PCcdB +zZcL/4OC/7LWPif4rwrnTp316f46o24eX9G3l8X7bME+LZg+7f1F5Da2bvnu +yPtjkfOU0vPhwn2v9m/Sc5LevyY65+iZUPM4N/Pd+ca8KfkOFs6hGv/YsJ5t +y3fgLhLMEH0/um5dXBK9RBd3BQ4YdHZV9PYl0X+61gYLZ09hWQzUfL1wr9Pz +v9q3WrReJthmb632Z8EPEfyeAb6fB3NHo0vr6FrtvbE0X8tK3/m94fEUvX9W +83WCGSucMzRfX1iO3O8W4Z0gmBWS9RU66yruVTTParce35Z7X5UzT66bh1WZ +M66OLt0j/LdqPktnfU/PQzp/fGGbvTUw61vW/7/Veo/WuvUsaZivVYE5Qs8I +wdTarP9zMj9C+FeKts+I3nnRK/TrBcnly1ofq/U1wv+AYM8Q/i7h669nQcM2 +0Ba72Khvd2ptXGUb2xa77sLfCM9Knd8rWTSkd8dpfFF4z9S3l8rILHLDpqfG +DyBj+Do5c/iCf86HDmjarXN/LjyTde7j8kWDtT4wst4XG0QW7AUPdoQN7W+z +zeyPvi1tWHbA8v2l7OXuwIU9H1MZ7i81/qfoHqj5/RrPK20vI7R+jnBMhn59 +m6E7OlbzV9utU/1DM7aIPl4r/B+v28awL2QKDPKD3p7w+57gj47vxRcNbVr2 +Z8afrxD8lZLDOM334BMk3zbhfFdrk/VUWr9P64ukj5+UP1mib2OEY5bu4qZO +r03r8fpUjZP0bNP3f2O/zj5G+M7Vc57WL9XYlG60tGdUaJoaXwpN06ITH9R5 +nxOtV0gmvTp/mc45TjCnC2d/vf8wPhz/vUrr9+h9gNbv1fhq07jBe2nTdgfe +jfrWLZi7SssYP4sMuSvm3NekyJ/7KrpNK7iIfYdy1m7R8pSey4X3StH3J419 +omtCu+MF/g3/cdiP6n2WeF4oPFN6vVZvt35uEn9rhWdBzbSf326fCG7OQP92 +ZY6O7c87c+SBXMbU3oeD/oNau6XDvnYpNt7hOLtC68sbjmFrG9YzdGypzjwY +vr5Y9zsyPT/xEX/zHeH4507rDvwgd+C5e9ZP1Nrd0oXfN71GTME28MXkCIz4 +7cWS1Qlav7mw7HbFduBvV/hdVLfOI9MuyWxDt/WMOzkn9wLdk3N3yBKfsxGZ +C8cBPROTnxxIjoKM79AzX+sbInPmt2m+PDJCLya2O/b/R4fhN4Xvm8I7tlai +44I7SuMgPdfFvtrjD8dEBsjkFNH+Wen8Rq01tX98h3OY7sL++zXxd0lhvn8p +nZwifPfHz6Lf6PlRlc/hPOLTeYXl9hN9f03nztP6XpK00jHiPfna5zTep/Xh +gvu7yjgXav3t2Dt3t7VpnwDtxHJyBOzkasG/pfFNzmmZ7vmF/UEttI0Iz/D7 +QNO4aqFxcOjslq7PlBxuT8z8Qqfx7m4YDrnNKqx7L4j27ci+3XLb0fA78zkN +8zlUOO9o2J+iA6s1/q7u2LG58nxK4XhP3D8huVkzMj+zsC8kBo7P/IPa90SH +ZcgZNdH4ns7o435bvo9jBTtE83mCP65wHBwUHs9omc7BvbYJbGNNfMhL8c9H +tAxLfgHP7D1J779N/CKOHVn3WSNyBmeNb/ne2rLOuUdmfmTiMXgHZc5djKw7 +/mML+JLhiQttkReyOiXxgliGHl+X+HhBfM+o4AQfdC4Wfc9LRg+LriWl6SE+ +gPvE4OesHfF7Q+J3sYeF+r67w/LckTwbmAvE2yrN35NMri1tw7M13qUzlmn/ +f5PD1k0zfoN8d2T4uqbuvdPanRveHpifBj+8nFE5799b2XdBP7o0OfZN3YCt +P5wcY0zLNc3pgl9QmbefV86pOPdH+ja66bwAm8KH7W53DsTaoKzvbXlOnfHb +yjD7Cudo+FHuhu/PBZ7cmRwa/o7qtS49JfgLW+brIo0TZJt/aFjW+4TzG9RL +lc9e2+47wnfuT74BvaNC8yTtX6b5ZI03V4b/mfB/vfS9DNT8i1pfLJjPtLxv +ZOgh5yAfJafanrqDd/zlsvjMCxu2r37xk9+JnNGvj8dPogvkbsT3MuvowvLE +P3KPzR32uaxdUNp2ztd4Y6djGPGMWmRzYD7dcpy4SrT3SG4PSSYDeu1P8au/ +bNl/gxM//0bDcZHYDI34cmzhz+L/x9rbX3tXNB2zseF/6TAcMHckfkAr51yT +GFB0Og4RT9Cls+rWJ3wIeQvyPyR6PkzcHmAdR3/xD8cktyHHIXZ9qsPfOgrX +UNRS+CTu5UC7bW5J/G/Z8lnvCuYi7b9Tez+fcUP4xfevjP+HTr6BFz6AId+4 +pHQOebHGZuF9rwjnPuF/VHy2JJN+0b9xva5RiOvE8rbC86dTv1JXUQthS8yx +L/SE+ErORhxj/pGaa+V+8cl7Up+dkHqNOPaBmsc98fmfin5tjP5cE70a1XK+ +Mrpl37038Ce1HCNObnntQHAiy7fyfnmn9RvdPquw76AG2lc3TdDD+czhhZiA +bbyStb1Zv7thGt5O3oK/A+9XOozrcAwqDQO9t0hek3T2wcq1/JOpW4hX8A+d +6Oym6Dn6vzJyo4ZF1kOTt9yadb5jH+hZq+F1ckLun7oJuyMvI+dH7yeVXp9Y +2qeUsce+5I3kiuSJ5JbUEeRii8LX3xTWrRvEy18XrkXWRM5DcpfkwJfXbWsn +tDwfpvF4PZdRN5TGtTDypK5h/XC9FxhgP1E5T31W41jlURN7nGtc33DtRq3z +O31bpbX/qeIjGpYDZzMnlpFvn9ew/VFPcffPa/2/Ws517y0cZ9ra3u85fC19 +gtdK7/1DaXxvBD/5BzUd/nZzy7ns94TnnpbzkM2p86gF8c/koBOTBxNvWSdO +oTfQQD7WqmxD9BWgccb/62jpnhK9pW2l6SIH3NNy7Nnfsr+kJiTfuL9yT+Qr +lfs9I1OPPqz3Pr0/Qi+nckz5x8p5JDin0hNoei938ZC+fVLz50vn5/BIrv5s +6bPoCRFzZkcOi5qWz2HZtznXhC/06s30g+j5MUfHGPsy/1Nh27w6d06eh4y5 +077cIz0eaBuSGEdsJp72xaawLXKHw32rNusIuoKO/lP0Bl/0euF8ZIH4GEqM +p74p3AM7ueG6BdrBgw2y74bgwbaIfWPiH+gpYY/nSj/n9bh3wN1el9xpUaf7 +LMQC6tAXU4v+oMt7gMe+uGvqHXAvT527SjDX9bgngb1/PfS/URiWurMv865e +93s4i17NvMQN7JK1G0JDb2pA9Ikc6pmG8yh6N/iRH5TuGaC75MfURMtSF21p +eB2+6Ffii9Zr/HHle/+qxqMr0zlY4+WVc/fb6blWthvi4ZGV/dY7AyzbBeGL ++uDSTtO9O72Vi0Lzgvgicp656RUQZw5EH6idqKGmF76jVuN9P7Yi/G7RuS+S +x6S++ULOmpaahDtDBjcm36BGYZ1cHB8D/+RPw3tdn5xTOa9kTs7z/dI8wiv7 +nspe/CU9LPzxzNg1/oeeSiv1O3nD8vB4aWqlx2qmj3fiAn0dfCUwk3TGdsHv +KpyrbE2NDn9VcN4U3sHN+I3IgT7ISakJ6BHRF8MXfagyzL8WjrnkdsRd6sW3 +YwsbWoanf0nP7NGGa7bNpXv6kwr3nuemh0tPY2X6GmsK1xib0utijl2fWHnO +d+RR5u7IcW4K/Tsq4/lYZXreiW9ZG71EJ0/Tt3/X/O7CvQvyf/wr+8jnoQFd +Ghj50G8lp3mjck5ELof/JLZTJxDfnyjtE35VGt/dwYmPAp6cCj0FBl+I30Qn +yYOIrfhY4ut0nfE0tV5hvXg6uvFM9AQdpFdKrCR+To1eopOPpb6ibsIWkcvE +xBt88qGWaxrWOJd+9YaGc7wFiePYF/FnRmwLXqhHvhu7uyz6Rp97ffZSC1ET +/Ua8Tyx8Z/QpT2tYzuTtY5OLoT+fKB37iIEfqSxD+n+H69GG896BoQc9JOea +EL7uzLnko9ektgMv97Iu9PBtXe6oPX6AGvX+9FG3lratmfGl5LxF8t258qPj +up3X4oPpd+CH29KfIu7PSz/lFfRH8KcK/pFm+knpI3VqfXWXba9euBc8rXS+ +dmpkgm19NP+L7aksY/o9xFHi6RWF4cbHptAj6ESXziltz+dqrAr3JuZr/m7D +9Qm1CXxc2GNedjbdW8IGqQuxW+qJNyv3wJ6oHGcXN31/15Pna76rcl1Kfboz +/Zn7mtaB17MXHP167SuJz09VxrNW83WxnbGJvRPTc3umMh/UMaxNis519hr/ +W4XrnkWJR8QKYjP6OVQ8HehyT2pm6VrvitJ5Yl9qUeweWSAHchnmq5MzI9v5 +ydVrwc8+3tk7rNP3wv3Q6+J/GXSAezgzeMhlyJfIp96Nn2H9Vy3H1b9vmX7w +g5t6jD4YPRnkOiz4l6WfQ5/mA+LrYJfzb/zpy6kDqSegDTp3lT73SY2vC/aP +Xe6jYMfjov/0yMhrZkuGNwvn9G7rMnp3WnRvb+zzKsE8KxxTuu2jiT3U4dSD +xIrnU99im9gl9KBHY6JLyGlY7vQ54Wnv8v+WByJD1qHr1NCG3yL/I/ejR4t/ +JH+jtp6ZeMf9b4mOIbet6T3uLHwX/FeG7x3e376D+E5+hR/mbPInYtfj6SHT +Sz6U2IRc0OW16cnQXwbmL1r+v4i74V6Q6avpT2HHV/fYlsllqK848yqtXdlj +2/qrXtNzbK97fNvTp7lSz8WCmdzrXu/vU1s9WVluyyv/j0rtQP3xuO7hWwPc +I38mtTq1O/wtSQ6JTgPLfSAP6IbmswvXkt9vmac5yX+Q/abU8utK50HUEPzv +8kD6sfQMtmVOH4XchtwLXZye/4CQBf9voBv0bsl75mVtdNbRCXTjxPjcOclv +ye3I8arKuja/x/p2cXoLMwr7bHwwfht8j6SP1r/luEy/jT07o3vY/yX5X+jo +/M/L/73kdUtDPzgeD55bsk7OQCzdnXhKHUk9Q0z+PwgSJqE= + "]], + PolygonBox[CompressedData[" +1:eJxFl3uQjnUUxx+7Xvvsu/Z5n2dJ2C5UmkIiVK5dRGG3JJea1STabqQQrdwZ +tzFjlNW9KY22UlK5XxrV6spMrlEWKTRSk7suos93vmb648x7znNuv3N+53fO +eRsOeLznkKwgCHYA1YGBcRAsATmeEwSfJkFwNj8I5mQHwSNA60wQXAg0RqEZ +sheA3w3MhTcSnTboDkSnD/hJZI5F2ADmgW8F9sMLC4LgvhpB8Bd0DvhIvp1O +BcGUMAjeR3Yc9pZhrwdwPvhibGbgJ0Ax/HLJIHsf/Cvgj4K/CX+HsVcGfjk2 +U7lB8BH0BmSfA8Yj3x/5xsgfiiw7Anv98b00tu29xLsSumFk31OAIuQ/gt8b ++a+rBUF3eKf51h96GzHMQ34T0J1cXAm9Gfwp4Az2TmLvM/D30c+DrkS/GLyK +fNZH/ijflsHfA30Z9Ano5dB1sF8H3x34dh74F3xrCj0b/pfgz3OGCcQzGrpe +4jvR3azlW01iL4SuC12Gv/rCM7alb/XAV3GGWui25ttK8G3Y+5x4vuRbU/Tf +RqYK2d3ArfAa8K0YflNyegn4E/j8A9lu0DnIboEeFTrnBfBfhB5HLsYDL4GP +RWYptr7njibg7ww2q2X7jh9Wvgtsexd0F3hTYt/dY9BTwUuRGQ/+J99OwD8O +XVTDOT8GPjxx7nTHuuv60GNSzpFy9S3+X0P2Y+5jMbyLgMnwVwIvw/8QmIzt +h/CRg78V0NNC36Hu8kO+5YN/RT57gA/C3jM5jlGxPgpdke1vHySOQbEoh8rl +hsS1rzezHvx8IBd7jThTHfDHgTjbOR0Kfj/6B/E1FPkd+EsXOPYB+MsD34PN +WuSyLv7eVe0B69D9AtiKbrPEtTqRGLYpVmxMynbOJ8W+E92N3mgD6BPymeWc +ngSfF1n3FPaehB6WuFb15vT29E28H/G/ArwW5+me7Zwpdwep51/hvY79bOiz +8FuAlyJzNfgv6MwJ3RNmglfkkQ90ZuB/EHVwOfTMmrxHZO4FemDjALrlQB/1 +BmBQlm0Gse9QdymbB5R/YBX0i/Bvh98uTQ7zbbsVMnOwHeHjGvDfgAehd6Sd +w8/VB5BtH9jn9eh/BwyGfgt728H3YH86es+q34DvTNy7jpPzQZylXYHfxlXo +R+Dd0SlHN43t98CHxNbNVo2Dv4DO2JRrVrU7CjpEvi/0qdgg/Ea+lcFbDdxc +3TJb1P84fymwIXQMqnHVumpyI/w/0L9Ttvh2hNgGx/atb4fBcznjcnR/IMba +2L49cS/4AfsT4R9NO2fKVX1gFjbKoX8HX0ScdRP3omeR74r8T9jYnvLM6I3/ +vdDfQW8DShL3TPXO3eSrRLFk3Ksk0w/ePuWLs3SC3g/eJ/Zb+BmZ3poF3F1b +ztQy9B2WYqM9sm2BnfD/4XyF6M/iPDH2DkGPgm4Dfy30cmRaBe6BK8DbEsv3 +2NtDfvph7+nYs2sr+qPB74LfE1gT+h3Jdy/oytBnGBjZ9mLk70e+o+6omu+0 +UO8T2W7AKmRXA59Fzq1qVLW6GZ0WKb8ZvZ2eqjH0m/NtE/jG2Pg++Pvg94qd +C+lsiT2DNYtVY0XQD+CrNTlaGLomstJ+U3pLirEI/rV5Poti6lrTb0RvQzq1 +Isc+jlg7q79HfheqLfWap5BfkHb/WR/67a7Pcy3oDf+b7942GxvnabZzptrV +3bOqMq6dC4DC0DW0AXxM2v2+S653CO0Sc/HXAv028I+lXXsloXNZCNQLndMj +acuIp296Y3prmjk3cfYiIE55h9Au8U7Gs20YPq7T/XP2OWnHojvtBz087bOo +B+1QzabcA7aD34b+RM1XoBN4O769lXLPLsHeZvxVZnmmdoQ/NfFuoBk5Bt5d +sXuj7lh33S/yW1BPU2+7I3bvUg9SL7ondu9RDYeRa1y13g54AHpu4tmgN/w3 +dE9gSzXvKEsyPqPOqh0piVyjqlXteAPAd2lHSXlGVoE3SbxraOZ9IN/od8PW +J9jsjP4/6rf4WgrUoHcsiH3X2mHeAS9OPIuUA+XimsR3OQKZj+FfmfEuNhT6 +R+Krih1Lhfoj8q1i73ad0W8JPh/5ruBr8d8J/pux37Z2qPngl2B/GrozgFfh +n8FmZ+1v0A3h/RX5rNo5yxPXtGpbO0WXjHuSepN6lnqXZppmm2pmSew3p7d3 +q2Zo5B6qXqqZVxP6VORdVjXxELotM94lFmmfg1dGbY4E1oX/z2z9it6N7CvI +TE85BsWimaHZoZ0vN+OcKDdvqscltinburOOiXuueq92ig7qtYnPqpk+P3IO +lAvtoAuRvThxLrUDNQBfgMwbKdf49YlnjGaNZtxuzdLEu7F6pnqncqxcK8cx +56tMvOuqZ7eCzi/wLqqdRrtNk4x3TcV4aeIdULugesIueD9BT4P/Nvz28JPE +u7l6uHq5aka1o5peA35t7NpRTao2lRPlRm9wIWdrnvGuoZgUm/7D6L+M/mPo +v8bPsWeLfMr3ouicb2AX9PG0Z4JmgXpUccb/BbSTazcfHHnWa2f8BnpexrWq +nn9D5B1Fu4r+E/UFb5p4d9R/iKvAb4n8llTTFfAvS879N4BuBP4fP47Wcg== + + "]], + + PolygonBox[{{4688, 3454, 2687, 898, 4227}, {4230, 877, + 3283, 3153, 4687}, {4685, 3162, 3078, 1477, 4428}, {4623, + 2244, 3159, 2695, 4170}}]}]}, { + EdgeForm[], + GrayLevel[0.4071103000264339], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxVmXmsVdUVxs99w733TeeecwVaFZDRIYDVqoC1CDI3TAKC4oDV0kiaCtpY +GdtqiwyKJmCEIo/K0FQBZ2sKYhoE1IpDVKopzqKopYJax2ix/X5+68X0j/32 +vvusvfbaa/jW2vt1vXTmhBk1SZJcrT+16p9uSJJX1V6pS5ItaZIs1fwRlSR5 +LU+SssazNbdCdKPqk+QW9Y/q9+/LSfKVvn+aJclEzX+kfp/mXxb9BZp/Sf1e +tbpCkvwuM++zq0myUrQr1J7V/BFNSVJV6yde64P/BvUH9W2W1s7TuJfmJqgf +qnacxuPVD1FrlnyrRXdAe61rSZKHGyVnKUlG60BL1VbVmN/o4Dldc5s0XqD5 +7urP1txgtSMlU66zn6j+TfVvqF0tPuNEv0Tt1oLPcVBr5mp8qN7jMxPzGqbx +p5rvpzOO1e+NkmuJvg3X/GL1I9T/qN762yEdPKJ2t8YNotuuc6fad2Sz9pce +rtLv/Zl5vq2+XEySUtH7btbcmOAzJs7FuF7fl2hdg/aeoLl7EutyuvTynn5/ +jU3qPO4imh9qfqjG+8T/Rq09RuNxop+sPU5SG63xaeLXsezfX0gXO0PmKyXn +Wul5iNblmj9Z38/X/Nc6yzTxvl17da33GJ4rtO56/e6n8V7t9wvN/zW3fbEt ++nm74PmZGheKlv9htZm5dd0i/dys+eVq68SvUf1t6qeI5oDWztba+RrXau/L +1P+zxd//UOfftaKvKdqPT8vtf6eo/5lsO1ztwhp/Z+9tot+kfmPRdupdco9M +kyT/Bo0nZ5Z9Y5337Zn7jD3Ur5EMo8WvG2PxaC2abrPapjqv+0Fu375TtBdl +PsOF6rtqvi+6lPxXxtlnBu3mWDtC/C7X7+mJ7Y2ekG1LxfNV8VmjdZs1ri/4 +LPjcOtG8qN8/0fzYxPbcETZFTmSbofENyFxnmtbQN3ZZJ1+4s8Z8N2g8O35P +VT8/4uVwwfEAPuzRfKb5Dpo/reJY+a/OdVfmM3LWUyuOyZ0aP6K9rhFtU8H9 +tTFuV/JvfGyx1nYT/0Xql+uMqdog/ET7zFVrX7Ie0eelqWOxRXO7Cv4GT/j9 +R3t9pda+xj2/O2i8C12pnSv6e8VnINgj2S7Qmjnif5a+fVj2fvAjPooF4xu8 +24fM0LSPvU6OMyD/l7Fvo+a2Kob6tZj3zqLxh32x6aqw60TR9BfNJWXLVhXN +A/rWqnNXtW51vVse/Lun5jFQeh0Q2IPPfJjZ1j9XP1K0I9S+X7R9wJsOISd8 +6qOvxphzdIhzgelg+5upMelW8RyTGOeZx8ZPFez/2JgYYNwq+kEa36u5TzJj +wi11pmmn893eZJ1+njlG54j+49w+90luPT3UaF0tLno9eIJtsXF/8DD43p3Z +R/HNUsG+ODxwkn5EjBemtvlG8d+ouZH1xuxUc53LXruoaD0NS4zfm2PtwNz5 +5P3MOYmzQNO/bNwEMy/IHLNn5PaTTm2+UjRGowt4MAarWQMdvnS21q7W2vsy +yzUiZDu97DyJrVg3MficV2O9DwlZkAnd7s7tL98Tfv47837IDs73DTnfy3y2 +GdLH/pL3gH9nyTlP49ag7R/0mWzVo9nn7FBxjhyjfqzm+7Y47sHI9YEn+Cp4 +hC+Bx8OLxq7BRccTsTBNtv+g7N/tyUsln+m3UTNQO4APrMXPLxbtWyXb6DsV +57Rfq7+i2TFDvEA7IvaiThmpcUPorS5yDDUAOqOe6Ki5oWq/Kng9vjY4cGFw +yLlS88OKxlBohwV9228wkzxCvgFXR4YM7DtAuvmi0b6FPtaX7adbsIf6q9Rv +VTtX4wczxxy1DXH3fG68fU79ptx4dUduLATDygXHyobAZPYcGXmC3EadNZz8 +VbBtsUUXybJeMi2X7iupa6Z20uHTqX3mGvHf1ui6ipoKvshAfHQqWl+cHUyb +X7AMYNuXgat9StYFeihHft0WtQr6vzf0s6psOdkTO6Gr2yLH4y9g2IDwf/oz +Y7wjd406ixont52I6flBB+5hnxVly3ko916PUdsWnefAL2ofakBqwWmp65KX +pf+PWpwzP9D4pqLrJPLiZy2Wvb5qO1MbcUbs9mTBvCZkPsPEzPjMWahV3s8t +z07tMzDOgrxgKXUe+aZHyWPqPWrDBo0rtZ5rCBr6L0sec4ZSzKNz6pW2Ooae +PIK+0Tu55fHcax/LvQdrwXDyCzZA/9cEboAf1FYDQ86vIh6IBWQfFLaYn9ov +Fop+vGRdqDZHNK9nprksNW615UNyS2tgAr4ExiBDp3r7NL60Rue6Wb/PSowH +l9QaE6iV0csZVeuhHPpB93wnnv+cOaaIrRdy8zlR/e6C7YSN+uj3Ms33ju/Q +s9cLsu+OJuMOccM9BWy/NuqQdiE7dsWm5G3y9+qgpbacmLiuXBV3nHeFSzcq +ll6t89zKmO8V9yDoD2eOm+tSY/+yqG1+GTbYnnsee2NrfBIdITP+hTzEy/KI +G3AP3W8MG1E/r496eFLF+Zq7Gvssj73uSl1rUp/eGeNXJNfBkjEdPIc3e4HD +7E9MsJaYWh3jb2rHOtf/HSPOmKNeWxM0vy1bj+iwZ8m1Lnbc3+K73pPad7Tk +PEd66ipZ+tZbDmTg/sB94eKK/adz+NDMssfE++WZa9wZ6t9psY77VKxH9DlV +851kl88anZu583HPI0ePipxM7cC9bn6NceiNiv2TOnSK6I9X61rj+wZ6fV7z +s3Pjwuu5747j4/74j8xnuCT1HZYczTl3pc4rB3PrqWPEI+foFGfpGOMxgeH7 +I456is87JWMX8Tgg4rSQWq9vS65XM8t/T+rfzD+ruRNE+27JuS+v2F8T0fSU +TvIm53xqxVOKrq96NXhM3UVOgR4f5t7AubDL0MgL2BrdHCpbP/h4r4gjGjUV ++eiz3HnwU/Ul7ftyo892StRd7LVHsq0Uj22p56n5kKdaNe89WtskWWbVug49 +lntYvBHQ94x7Pt/xeWgGxX2fe/8jOut2tWUNxsN5cf/FRscHn6PrPY/+iaGb +4150YW6+gyuOO+bxg3Fhc3wX+3Rrk6HkWoV57oTcr7hb7cos53mp+a+LWFsX +NIzbR61FzTU63jbA896hW/wbDAPjwATqB2r71YEzveMNBf33Cv/jzrQn7irk +Uu5v5Ly/ZaYlFtHBCaGHpzPvQzyR/8iD1PW8DZHjqd+xFWPyDzqbG3qri/xD +3TUkaq/BQTM/dI6/dI4a46N4U/o4c868P/L41IrfCy6q2Pc2xr0YW3cPObuH +D6Bz7u7EMvvCj/pvQ2ABZzlV8t8gv9vdFG8k8sP9zY5v8gl5h9qa/A/motuj +qr6LHV01zvENrCtVjGFX5H4vmhvn4s7CXYLaHH6jo16/Xvu+o72e0Nm65/7W +ixosN5Y9k7suxK7rpOO9Gi/Q/Eu544f4w57g7tLAWeoaxmAstc2NITN7Lyp+ +G3+LIr64My0ufvt9ccxT76Vxh+Kth5p4cPj98qir2/INPo+fHFf//+902PlP +qevjByu+W1PHU9O2yTo28shNUV/h72vC53mT5M0KuyyKu/+S1P4yL2pOMOzY +sHtr8BwUPoaOkQV/Ic6QuTm1j1PfwYPYhs9Tmj9J+x1b9dsYmAn285YAprKe +GubDqGMWxHdyBLmDd0Pi+u+5701LxW9fzPM2wj4dY6/W2Je42Bw6phZakLoG +oBY4R+POotme+V0WXaCHKanP+6jmt2a+Lz2kfl2j3+aw1bmpMWdH5jsV9z1q +NvZnX/YfFvcdbANtl4iXEXHPog5k7piYp6abEHVdt6rzQZeqv0OH/8+Kmpz3 +Y/BvfNAfDj0Rh+gCfZFniU3e2ZjnfYK3KuZY+0bok3dE3q3gzzvTltAnb5+j +4j6OjtE1+Ao/+GBj9t0Y42VBw9rHI/+dn/pOWxdx2jlshH648xCX4DU6bbsL +zg9dQs+5u8bZwSL8FjyinqGO540Y/N0ZPn9kxTr5bsVxsCP0DPYsbbF9B6rf +2uz8yZsuWA9uoq85IetO0f9GdK+J/qiK7XK0+j2Z88c56purfo/h7e2iwMyp +qeN3evjz8IjHb2r+ksfUdTtDNmR+SX5V2+j7Nvn2UOAzd/0xTc4fo1LXdveH +v3GXnxx3oWOihkevncL/a3KPJ6aW/eFa5/Bb44zFuCPk8cYF1nI/4W2L98IF +kauQcWfMTwgerOedB3+jZoNmV5zxL5KvHfGS+42Mdd1S+wj88EPexIn/tzKf +mXqL+OTNbGTUHuBK38C5BzLn3NHi88fUde2Luc80K2Qa1GKsx5/QCXeVIYHD +8AXLqW1Gxrvc5anffd4V77XS8dfNfiOZk/se96j6SanjYkrF+t0d+sYfT2xw +3PBuNDzq/55Vz/dQv7bB8dsvfAAcx+4nRV4jv91R8bvpcO3zWGZ8fyJz/YWs +fBuRuocWXf24bH2BAdgJnULLXm286LtWjVvnxZ2ZnH9xvLldmfp/G//KXJdP +jXczeO8PexAD5FdikBjbG2+Pnzf6nQV+Z6q/r8mYMafJcUVM8f8JdNO96rsg +/vBk+B22qot6n3cA/KdPk/83Qy11unic2uK3YP6PxP9o8MU98YZKHQU+8AYC +RpCruTtz39gSvocPUsvMjHoGusmBJ9xpDkSuGpPapvgXfgM2gEXkKO6RxOLC +zBhwXWbcYR25am/Uuegkq7je4P8STVEjc0beXMAEsIB47RsxC04uDyzlfxpr +w0/A3WWBn+QozliO2JgU+QuM5N0MDDiYGaMPxP+wwENqI7ASvyXv886Cnn+a +Opei71sCz9kf/Mf+7IkP8IbUJ943aLx1UNdxd+wZeMu62VFncw7GzC1t9D0c +3dGmxN1tX5wLmqcy18m71Y+rWrfo+Ll4z+FdZ3fQPJN5P85FnYcsfeItiLme +cV7ik/Mernz7/yRo+lSdG/gfJv40Lf6/8D9mNWwq + "]], + PolygonBox[CompressedData[" +1:eJwtlnls1FUQxx9btt3utr/9/Rbw4khbKGKASiJUCAhERTC2HC03Ug5RjFoO +o4Eq0YQACVpigAgSQNviBQRFFEMLRmgLiFAiVIjcciNQIEKBeFQ/X8c/Jpl5 +c7yZ9+bKnDy9YFrIOVcFNAc+8ZxbHXZuFZAbOHcKSEp2LoLQSXAH/6kk514C +cuPO1XJ2N8VkZoNPgp+L7jqMjfWd+42zJ+Ddg/4l8D5pzqUA59GZGHFuKvL9 +ke8LnER+JHQmeAawA7oDso1R59og2wMYzlkFttcAI8BHI5+NbAegBroI+lwz +54q5bwv+FXE2G/wyZ+PBj+LDvIidvQ7+Vcy5snRkU52bA2xHpp3iR74LtoYm +nDvOXdXIvQy+Cb4HfwlQBr8RGxURezO93TF8fRCfe0UsxpG++doA/h2yF6AH +IjsIKEb+fWTvoNMO+WtAE77k8sx5+Ofjf2WayYjXCf9KPPuL5UA9/LXwuuLb +a/B9+KfgbwJfBlzlvrPYW8hfDQFaIf8h/DLk3uH+bPh34JfCywPi8Hpj7yj+ +nMXfCdiYj78n8f8EMA/8cWzMQnYb0BH5CdCvhuzNi8B7Y3M9srM42wC/NW+W +4L5R8NtDFwJtubsN8D323kInQ7kB/SK6OcgHyK9Eviv43/APg09Bpgn8uG+2 +G3SGrS+BOdBPot8H/fyYvYneoh7/y4hlBvSkiOXhfmSmR+yN9Fb/EH9f3vsY +NkbELSbFVgA8AB0BFoAPA+4H/xz9v7DTCvl5ylXst8TGdO67gc0q/GuFL3vx +71vwTGKoBe8MPwv8IGdTneVwPXgPdAfHzNc3kLnF2Ub4hdhoBG+fsNhz4GWD +V3OWBe8C/7MVXz6LmQ3pyoc8fPqR+0ai8w2ym4FRITvLh1fuGW8pNg6h/xP8 +Mdz3Ef4cAL8c2Nsrn66AdybmScR+hvvO6B7OUol/O/zUuPUI9Yq50B9je5Vn +uSud9vB2AuFki+k2+hd9y/21wEZkK4AVYespAfZGE2N51P5KvaPJs9yoI7aB +qj/o9dBPA5ewtRA6K2Q5FUK+AN2+6VbLRfi0Dbo/9B7VPDHMRaZdsuVAXWAx +KtYc3nEi9uuhM7HnAXM881G+qked4r4G+MuRfw7+p+Lh8+CQ/fFA6Mfgr1Mu +E093eFme5b5yuj/2OyTsL9Xj1Osehv46ZDXSDTwjYbmiGlWtqpe0wLdHI9ZT +/sT+BxHTqYMfwOuITE/OcoEKYt0atViXKCfhH0q3HnYCejz2a2JW00PAT3uW ++6rpZ7G9nxi74Fsh/1UH/rb6Q9TqXzqPKP6w/Zn+bm1gvV01sQ68Zdx6yUK9 +Pfwr2MgP25/p7+Z7Vjv6s1+RvYVOObLrod8Dr/Gsdw3AXin07aj9qf6yLZAU +tRmi2aEedTdqPUu9Sj1UvXwH8S1OtZ7eOm61rBpWLauHKZZu8PZ5VkOqJc2Q +WnhViiFsNVMJvgj7l7A/JtX0NGM0azoCY9DPCayWVsMbBm8GdJy7rnE2U/OF +s5Xw+vGeG8HHovMQvE7ALt9miGbJYqCr+lfcevVwciYP/Dx3l8Ss98uH9ITZ +Vs9KA+8SmK7uGIq9yZ7NOvXkI77NUM1S9YxR8LoH9rf6wx6B1bRqWz2rEtnt +3JURtdzRGy5CZlCy5dxO9EvTLaeUS8e4s9C33qGelgT/rG+9uBEfTvs2u9um +2d9phvdEv5KzcSnWkw8H1jvUg5rJd3TywpYzMz3LbT9ms185Pg1+TXPbObR7 +6M319prJzyBfhe1e3FGSanf85wO+DIB/HrwUmTcj1gPUC3YBf6RYT1Nvu+lb +712DP7/rrwOblcu4Ix96G/TFFPvD3dDnfLOtmlftJ3zbPVZonmu+AmsiluM3 +A9txtOv0A17Al0TMZohmh2pcM0OzQzm4xbeaUG1ox7gNvjluvUczcQT6O33L +Rfkk37RjaNfQDvYLvGme9UrtHNo99gIFzmp8H/hV32LVmzeAN/Hey4Dr3DeF +N+ydsF6vnE6JGy87zXqNZDoHltt6w93gz3s2mzWTT/gWo2LVznUEfnf+pixm +tvVHryBT3dz+tNi3nUC7gXaw4egeQGd2xN5Qb6meoN6gHlwL/wK+vBu1XNzz +f89R79HMKUH2C9/+TjvVBvAWxFCKb+WqH81vz2pNO8i9mv8J6w2aAYmE7bDa +ZbXTjPNtJ9RuqBz6Gft7fKtlvekP4Nd9s62YboDv8iwXVEOqpfvitktoJ9Nu +tiCwWaMYDwY24zTr1K/nKtcDmyXyuRr8XyOglCU= + "]]}]}, { + EdgeForm[], + GrayLevel[0.49791210503838196`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmgmUluV1x9+P2b5tvmVEBiFRWXJiwAUFYhoVSKNpTKqiYTMGUIwsplEW +gZCyhcS2SY2ItIhb0yKQJoe9JFEh4sbIbso+o3Ej7PumogH6//G/HHvOvOe5 +3/Pe5z7bXf73vtNm0IN3PNAsSZJrK5JEf0l1MUmyIu4vJ8kjmSRZXZMkr+o5 +pWe7GGfqOZNKkofVPiH+fqLfrUySu0S/V2n6GvW9X+nf0H+QvA9Et9OYEQWP +31fSGPVV6t0/qf+FavNv0bv6So9n7J6S51qiccV0ktTo2am5llQlSW890/Vu +WsrtYvU3iv9a9Q8Sf1892/TuFfXNr3T/cPF8qL4J4v+F6HdLpheJ91G1t1Z5 +fb0KXssKvV+q/h0aP1ftHJ3Jsxmv+WDJ/AfULqoyjYxflMz/c7WVzdw3W3MN +lsxDkvmO+l+QjA4603niG6Lfu8QzWO3Jkvd1Qu1h3cEz2u8RtbPEP1nPFI2Z +qDEndW7jNKal6P7ib6G2s5456hulp6voLnoeEt1K7QDx1DfzOSGfdU2VvJYZ +8zyq9tKMx86MM/0jZ1Xru19Z9v3cV+VzuUB994lvgHheL5leJp712uOvteZP +RTeJb6j67xHPHvFfobFD9Lsx5fZu9b+hsYNFLxf/XvHcW+Exzcqe6+eSt0zt +4jj/7SnzD9TYY+JfoP4Jon9V7TvmfumbH/3DJX+v+B9Uu0cy/01r26u2T+hG ++7okuVpy6jW+s373zUrftecxOovdOa1P9KqM37cMHvYHPVty+2i9HZtZ/+eL +/xXxjxb/MtEv19qGtur95XqmaGx38ffV2o6wfslpq6eFZB3Tek6K53Mlz9kQ +8w7T3vtWePxbGt9fba/E9oBd7Bd/ryrrH3rWVXubKbqL2r56N0dzVRUsA3qn +ZPTRHldI/ndFr9WYtVXW8eFaxzcrva+ONdbPj/Xueo1drXZN8KLb8OMPloQN +0sc9cUc/LNjGdmn+5prrJc31Rpwhex2m9S+SzC0asynu7j+qbQuPaN3PScZr +kjGhZJ7xah+XvI3ifSmx7qBL6NckvT8rWROxMc3RNmN6VoX9C3bKvq+p8t7v +LFiHXpPMdSXLWat2n+5rrda5SeMbtOZ13J32f0K/j+s5oicp2l8N0xqrRGdE +D1L7kt4tF++yGtv3qSr7lu7h4w7X+mzrY+8HNNcG9W3OmPeTKuvqPZp3lfp/ +kvL5n4r+v2rNp7WPezXXn/T+oMZvyVjG+pCzG1+G/0usdy/mrHt56df7+GY9 ++/X7LHqMLun9/FqvfZ7aJv3+o+hbtN5b8cPiX6z+P6PH6n9b7UL9XpFxuyDo +7er/tehlovdo/buznnOu+rbp3Yv4mJJl7ivYd98S8vE7+Khd2u+Oov3UB0XH +CWj8FfZxr56ieBZL1gPYk/awV7KadD4Dy9Yz9O0B9XX4fz7mt1rDb/Qs15gL +JePGlO2ur37/XaV9Z4P6Z6ttref6tP0ocae3ZO3X/f5O63mv6Jj0sPrmlc37 +F/U9nXEM5K5Zyy2hzyndXVJjvq06g9m19vcT1de12j7ziozp/qK/ofk2JI4R +00UfTqzrg2Mf+LoGyVmp5xmNO6x1jdTYJysso0vI+WfsLOf4xPtRoW/YNDTj +WumsbkcnC47JrSIu96x0/zrxfyAZ7+t5TXJ+L5k7RL+e8T6ei7005ny+nO07 +opeIfiVjWdxbSeseJFlrE/v/d8WzVDyvojPV5oPndp15lZ6/TVlHe8YaFmit +t4k+IPqOSvevTxzHWoduXFnlWIEfeCbs/iNiE3FM41c1sy+5SvzfS3xOU+Os +zuj+Oqn/tNoZ4n1M/ZPRjwrHUeLgdWnL6By+Z3P4nx4p6zE6jIxp1ZZBy2/k +M89jMRe+DR9HbCJePF/tGNorfDaxuDHsl/PiPDgLzuGhCvvou1KOab8KPzk3 +Y1/Mux2xNtZYm/J8zHVQe2vLGRbtoysDIxGP6CemgNdYD/GL9oVYG7Eemvf4 +6qOJbecx3eNY3WNvzV8pW/+R6OtFfz5jmcg+IBvZgmzp2FLxbNaYr0n3p9Q6 +vhJbf6C2g34/pb1epfdfIm6mbUOcLXYEltkacXNW4ETul3iL/ImBQ7F97BD/ +vo1YonZ42n4CHQNTEBOJnfRti372gA/A5p8u2xfVaM0vFK0HLxZ9P+BBbJP7 +nBZ3+mzK8ZB7IS4TkweFn8XfoqvPSf6Teq7S858Row4H9iRO4DewA+yBtX87 +5bvkHlnj9lgn/gQfhd+eVfA+Ope9f/Qb3T6pObrXOKYvVDuhxn7m+aLtfkDB +MrfG+cwo+0yH6P1Gnf0h3cHWjO0Q/UP38JfVot9M7JOOxdoOcffqXyP6/hrL +4V7m5eWDc8aUzdVeLLlfTXtPx0NH8UMjwxeBgzmHIVrbRxnHpx41tld8L/sC +V4I1wWr3aM3HwN0F729i7JGc4GjozBXCc90k58o669nokNki7RgAHzqHPnKe ++M8LQs6lxAute0T4krOxr1LaucfOsM3asE/yiUM1trVBgQcuKzle7a9xzLo/ +5f5hKcd5MCsx/SD2VGP/xt0dFl0nnqcq7NeRiX8DE+Pj6iTzgrTH0ZaD5h7q +gm4U79vkaXreCvoCyfxSyTkdud3nAuNjU2Cq6eHbdsY5bgr/Voj9Nk87nrNf ++krRfzhiFf4Ef/lpje2Vs79Oc70helXZ/dUF5wbc5aslY31i28qS4zW5ATGb +PI17BpsPjpxoF1gy7hD9Xpo25gR7gpPOVPvcFpati4O1xx9XWE/Qz33gHj2r +E98nPNzpmWbGVJz/zMCy5DzfJ75JB/41MMLpavuI35ZN/6Zsu9wWNrs25iDG +gf0X5Kxz+M7nw39OKjoHnqx2QoXzEWwKjAAeI5YR0/gNzZ7Oxr7O/8YP4ANS +gSs2xB0sDh3g/tnvg5Hv7ClYXir0vE3auXohZdlJ9IPHh9YYJ4wIGr3FRofV +uI88oGPo7YIa42cwCXGoQ/Q3lIxVvovPzzi36VRjPvrvToxnO0ZOAf5GTj/x +/41sNa1zqSzaFrFJ9AC8TG7GGm8IecRi2quD5p7P1SvC77G+8XpeLjpHXlGM +/cUe1xWtB2uLtiFs8GCs7ePA7fThB9EN/Ddy8NvjK6yT34z9gDu493LRPhnf +zO+3Avv8ntwhbb0lBvWPHI6aAjH2O+K/IeP4ib3gS54K229o5j2fy0krrGv4 +bfBv64zpvhGbicvkaMQj4tLKjDH7eX/QGH6AWg7voUfi53L2B2+Sn+Qst4Xi +8vy8sdLWtH1JOWUs2Bi+pV48i/I+Z/wpa8BvcGbgNs6tXSlsrOC8BVtrW3Ke +RF7FGTaQn6Ts58EUU3OOyUske1TO9QhknQ5bZtwvY+zCCs9FnCInox98wBqb +Yr/EiIWhD42BrbiXm1POtbHBn2ieFZrvOs31y7Jz3wat+bD6N5PDqP+HadvY +D1LOb6m/jIs6y5zwpeAAcmLOivyQNZ2VnAclZ5PkXJRxjYnYv7tk+8V2wRW9 +0o6zxNuWWcdjYvGBgvWbuAd+INclLlELmRj1EOacG/OSfy6P8/lHzfvjnLHH +zfGO/hNp1/Ne0TOuwnZHbGqKOh/nNlrjHtLTRmOX6mzG5JxX3xN+FN1/Wuv8 +n7xt5natb43aO9Q+kTGOO183XB0yqWtw5kcLtm9iNzoGxj8TfvgSjbs0bR+F +zbeNvG9Q2v6L/npqLxHHqcFcFzbCb+I7tsD7FsFD3vBe4DHidvOIZW2i7kXu +SdyrD/5JKeMq9BLsQk5IPogfZC3g695p3xn3dUfaOQy63zPt39D4kJ5BkyeD +yRk7KXwweLtfzIH8tXGX6BH7+E7Ip+0d9LTIKcg1vkWcTPtu0Z1+afeNVds3 +6OkR4xcH3jgQMQJdxF9y7/jgBYF/yOGxeWqMY8jn8vZP48OvDgz/vzD4x0oH +1uQd70cXbZNj1D4ufXkn7zz7pzWWh35Sg/lD+LJZ8Q47+pnk/DnveIsu/zT4 +iUEjIs+9XzxrxfPvaevOhNCfc/g7dOw87mHstNg7+Rqx/XydmJrmtNRndaSm +8OWvht/ALoaob3D0k3PNi1rigKL988Ci72Fq5Iz7wi6wD/wQto+tYVtdowZL +jlEftQVyyobIKw9oX83zjkX7RdfljTV3F4wVLpbdfKL+y/K2jx5qv6jz/X7a ++dzs8CNDI7awhrfFX5U1Br1S/K3Iv8SfKdh33C2ZOwuOZ+1Lfn9F3jzYdLOw +63FlY6PlBeMY9JX19y+5xjpAbW3RNc0T0peWklOvp7vkXKT2csnpkfbdPpz1 +/ZLndcrZR5xW31+ztm1qb/tzrr9RJ3gv51oB+z6V9d4/VF/XrPOQHQX7ry9q +DX8pGPO1EZ2I/xbmwsfj/7LOq29LG7+CbY8R97LOSzpl/Ru6rLH7suYjd7kw +Z/ukvl4feWLHvPfGvi4SfSRr3/E70WPV3w4sr76Wefsg6ogrs1FL1PvOWePR +kt7vzdontcp6rayzS9b7ZI8Xiudg1vj+oqzHM5Z66q6ca6rdxdNL7+4kzxD9 +RNa12sfDBtCNzWXXHS4vuD7xXxnnsHxPwA7Hhc3Niu8L1FJmRw6Eji/KWM/f +lfxhWdfQVwV2X11yrr0k6nLsc058H0H+c5H/Phk0c1HT+FrGPq+TsF93eNR+ +Rc9Noq9V27nOPNeo/RfNeWPO+Leb2rvyrttRH2+ItR1N+67QUWICMrGziqLt +EIwJFiHWfFn0+pLzqw1qv5d3PYK8EHzXrcJ+tYf4ZlDXKLiWSmwjnoGvuwfu ++nzJ/Md0JwMlIyVZQzX26bQxGXirZdR+wRbgDHAd9n+k4NpWa8noWfa93Vr3 +2XmBOYm7TwVNzJoacYs4To6C3+JcJ8fZElv6RXyhvgN2BCuC8x6N3A88+2Tw +c0/UC8mJRkXextqgZwQu7YAu69y7EZ/VXpN3zGuLPeYdC7dErY3YuT1j3EKM +IS6NjXhE/gvOJufHX3CGI0q2mfYZ46umjH9DU0/El+CT5xZcFzhYdjwgloKT +yWXORA4FzgZvUwPhjKhDEOPejrhAfPhy0bWapOAaz6jAACsLvh8wYGPZa+R7 +HT4U2yL2Yw9t4y7w90MiRlDnYv8byr7vuwJjNwX2Zv2nInclFvFNb2tgx6GR +3yB/QNk+H9+Pf0SHng28MCkwCfY3Mm8b/GqdfSC+ENtAf8npOLMTcW7VZX9D +qikby7bKOP4To8ZHnJoY8tEZ/AAxGN2gJkGOXRexjDPlPKnNzIj6zEFwasb1 +lI5x/8jpX7Z84syx+EZ1vOQ9TAzMDx5kv28GpiTmnssXtb9p0q0+nHXG9SZ0 +qr36rs0b31ys9tOs8WIX0W1yxkqjy9azprJtdXSc4aCyYwSx4vWCdZVvTRUl +x+ib6hzniHfNpSOnJO9j4mbK59UqMNO3sn5H/7dFfyr66ynb/dmcbf8ror+Q +s+7/fdYxiXjEt51BWZ/pY6LX5exb+RbXO2u9Rd4nIZPvRnw/mql1XiIZZ7LG +xFeDBXLGl8R9cktiP3ZODkc+gu3zG5r8OBM5MrWcD9KuUbIOfHcp7K4x9okv +w6cNLTn34tzAjWA36pXgN+SNi9yBmAFuBHetCf+ODaDn1IXR9VXhU/At68vW +lSll69Hk0AfyeuoG2AN2Sf6Hbd5eZ39fqjNWOBp+nnhGXHu55Dr0lJxz6faR +s+FD9peNGfeV7SfYM/sl7yDWEA/AsC/lPqtbIYN1gq/5JrYs6jTUJ7GFYsE4 +8qNafxvk+83swH6PRB7K90LqxtSlL5Psb+S9pqMZf1M8EnZzMGpbGzN+B//2 +0HnOHB7mxa55f0zPTSnno4fCT44JOdjgiZADz/6YA/m8OxBy8Gngxzsjd8A3 +Y4P4KuoG+I0v1PkbVTu1OzL+zoNManjkDOB/dH1I+MLpOosNOeOAo7E/9oKt +9ok51uv9tFp/x+PMsAny4J8VXGP777L1Dr9A/AUDUROnPokM7oF+bH5Q5IO7 +ghc/xncA6jfMy9mzBu7lUPgRzopvdhtjbYdD5+lvFTQ2QtsU/ZfEPPno3x48 +xLftcUecAfk6/ov6DN9mscP/1V77Z93Pfo/HGVK3IC+kdsEaj8c6N8X9box2 +U/AfizOlH8xxY9wX9UX0H39LfgleJldpF+tnT9TJOkWMocb+YegwsneEfPw8 +NWj8D+9PBs/J4CeuNsYZsudmJX8r4ZsJ+AscyvngA/hOSJylXkQdCp1Cxkeh +h8vj7pkXu2c8tr8/eOrinE7E2n6k87spZyxFzWlF1vkotnpD4BNydGIF+Jz6 +EXkn+kTMxw/hl8CP/fOOkw/rXlpnrQuj4n8ehiWeZ0Dec/1J9Mxa1zJfz3kM +/GA3vg9wpk/ENxS+pWzi22yta35fr/P3uRvr/G1+anyjPefTE+v8lPCBj/A/ +QWWvoa5kHIBdgm/Amdw3dw22Rrfw6e0K/sbZus51l4ei9kdM2hd1LvAg397x +zdmC60f3FV0HHRnfhcFK3QIvXZh1TCIe8b3u2Vr7jH9Q/215YxFw14ioY7De +4SEHbDs88C25BX6D/IK5hkYNmZoP/dR18QU3hw7jt8aEbvCMDn0D84KDwVr/ +B33JVxY= + "]], + PolygonBox[CompressedData[" +1:eJwtmHmUVcURxu8wb2beu/e+lX1QkAEPiGyyqEeUgbjlxCiLLKIOICqoJyIo +S0CISFzQeGLMIgiak0QgIQEURA2oMCIMyhYTFoEYRYhsAwwMuAvm9+Xzjzq3 +qqu6urq6u5bbetR9A8c2CILgB0VBkOCbC4Pgx8C10NcAY6Mg+FscBHeDN0sx +Dt6WsaHJIJgMvJMJghdRsAM4mg+C9cBXZUEwB3oK+NR0ECyOPfdpoAS8Bv1P +IfMmcCYXBFUl8Fn8EXRVQw8pRh/rDYJegGxj4GXNLw2CE+h8nnUXoP9B8EnY +8ghrzIVfAfRE9gxj1zG/nv2sAv85/NnwngLibBD0Qn9v8E4F9gvUoK8F6y9G +359Z84/wukKfRbYCe86w1lmgDfgR4Cy6b8DmY+CXMP9q5Pshf5y5wxlbCl7P +3qrRt5n1n2b9GUXew/XY9y1jWwP7OIS+CJ/0x4YTzOmA7ArG+oLPZexObPgD +9tYhewf4IHhnmZ+GHgZ8Bz6csTHgdwG3M/+NyHtdi47W4BejfzC6bgROQv9I ++pHdhA2toLvDH5i0De2xP8V6IXAB+AXwhiB/M/K94VeBlwIjmDuasePgPWLr +bgycQt+I0La8h0w/eD+Fvhx98+Bvgp4c+gx+Bz2eNSrBD+PfceC1wKMN7OPx ++HNR2ndSd/FN9lTGWA/82xMoRvYgMB35z+HfC+8S9LfBhiFJ39Fp8Hcg+zJr +TMZ/F6LrUmRuglcKXMvYtsAy07U+dEf0VUAfA08iextzHkZ/Hf58lDWaJnxn +dXd3Yt/uyLbtBzaAP8bYF8i/AH0SmQT6BiP/GfjRrHWfC68dug7qLbDGPmyJ +gXvy9n293hP8OeiaA78e3grmPAOdZM5Y8GXAGvR9hvzP0HkU3l2s0Rv6APPH +gD/P2HPMP8X815A/k/XdfhaZYeAj0fUbZJbDG4fMK9i/EHoV9AxgDDJ/QvYe +9v4Str0M7yNk3ob3NmPtWGNKse9MCbJdeA+V8HqhayPyryO/DKhmbD3wAXMX +QM8s8xpboX8NvbPUNuyFfkUxAxvXQv8n8ppaq/p7n8l3igF16H8C+k58uxf5 +x7FlBDbMxZbjyK+Gv5/5rzJ/F/Q65n0S2SbZ8o7uE/v/OPJav8eG0zmf1XKg +D/NPo39ownc0je4bM45NWrMB/G8UM7BlPv5eD28E89+At585T4LXZMz7oeJD +3m9Yb1lnVg3eGpmpxY4x3+puYUsFNp1GZyVQDf5a2rbvTNom2bYCvARfXwH/ +PPjj4V/BWEt0DkXf3ciUyra0dWjuG8hU6gzhDQLqFatYrz0ylfhnIvw58G9J ++Mxng3+CvuHIljO2H/w24ECR32AD5q9n/izmz9eZAE+AP5723V8ANMfGDezt +WfA+4OtDy4inHFCRMe8B1qtE96jQd1J3UW9OsbsLa0xMOoY/hvy1rP1b6EPY +96jOLzat8e/gJ4q9h0rsGwksS/hMdDYtsKEhet7FpnLwTaz5HfIP6b2nHTsW +830r5RiyCLoVdNcy+7gtOqYVe42AuW3Q0SnlnKHcIZ3SrTfQFfxVZGqR7YL+ +hfADYBCfKmTy8Lrnjc/Bvp7gPfLGb2dOJ/g1rP0pNtTIZmCP8rFifJltLMKe +7ug+gfxK5FdljeuMdFbf4p/Z+Ocke2kNvA2eUDzWfQEuAi+XD7HpYODcdB30 +lUXOUUvTfiN6G2uQ35J2TlYu3g5dxRrPFfvNDQdPoL+JcgL86di4Ne/a4EJg +C/hH8B8JfVZDU45NHWLnFsWoJqx/IXSfpMf0hvWWL8Enu9nrIugzpZ6vuyDf +NELfhpR91JyxTcguBL+y4FiyE5mVKceUm+Dv0vvFnnU5xwzFjk+AWeArI+dQ +5c5fMGdUxmsvgX8r/APw34IfF3lNvdU70pbVm70F22cxNj/hukI1gGqBr9Ex +EfxTZA8pz0O/K33Qh6E7Q2/J+a69HznW6869CF0sH5V5D4qVWyLHfsXMjrFz +tHwlnx1h7YbQOfBM0rnifebsSDlnHGfuP9PO3TtTfnN6e3oTbTKuJZqF5qmm +OJz327pfORN/3gC8h62zkbkTfE3sGKTY04s5y9HdO3TsUo4Q3hmZvt/Hs4Ho +28j8jfi/H3hbdHxQ5Dd0PvguZH+FjYOhm+DDxuCX674y9zLgBeUOYFLKNZJy +mHKZ3tjgjO96o8iyuvMt8OlA9GzhLhfgH4P3D+a3SNknf8m79tSd+it4iWrO +hGOoYmlCNUCxc9xl2Hcs77esmned7hr6O5X4THW2ynnKfc3QNwN8JHPuCV3r +1EJfVfDd3MT8i8BL0fFNmd+w3vL5kWts1daqUcbAP17kGudj+GMzrnVUIx3K +OQcoF6jm/pz1b4PuHfnuDSjYBtmiHLWFuYWcc1Ed+/k7eyvLO1eo5lHtMwN4 +HV43xkaCV2HLrbFrUd3pRlnX9m8p/GUsI9n/+0z3OePaQzGyCt1HoG+Adz3Q +FP5GYE+RfbZZ9XTevlE9qNpcNZpqNeVc5d7RWdceitGbVbuwt5+EriWVE1qA +Z4B/4dN5wKGMa8npikfoPpZxLaUcOwq6HfMrY9fOdzB/T95vUz7eDX4059pe +OVK5Ur1EV/TvD9xT3Iy+3XxHo3NDzmsfQWZbyjYoRihWqAeoAj+Vc65VDaha +8Cr2sBldA+CX59zDqJfRHXgX/L2cY4PWqAGvy1i2P9A85x5DvcZS9jMh6xyh +XKEYoliSgd4R2OfNkN+ac2yRz+V76ZAuvYkT6GoG7Ev4zB/KuoZULamcmYLX +KHaPot4kn3Tv8WHkXKAeZELkHk+9XWv1d8j2ie3bWuacA/0FMqcC+7Aa3sOR +Y0UN+16bcyxWDBjKeuPhTUHfL+Gfo/iB/Iehdd2Ozk7qJSPHEsWU7qF7DvUa +tcAy+BMj26Ic+LTqy8i5RjElRn5d5LvyJPJfgxcYqwuc8xRr50F/WeKYewX0 +mdC5c1TSveaDzOmScs/5TOSYpVg1RDEL/GhoXzVMOnbtjs1TDFuN/KS0c6/u +vGKAYkFf6O7g3QrGJ8DbiT9mRvaZfKWcrRylXKUeZG/WMVSxVDG5P/jwjN+2 +crJys3LV19jQKumcpV70YORaQj3pEtkbOZcrZz+Rc+2qHKpc2iV0z6heUTVC +U+QPhe5VGgFXF9yLKUYWs97Z0Gems6pQzwHenvn3grdljS/Bu+nNBO5BhTcP +fXYa61xwb66aUbWjclkt/GzSOe2b0Geiszgv6d62Ap2Dku5xG8Q+Y52tzlC9 +7XnwByTd4y6Fvj/y3ZpZ5LPvEfpfge7ABfrfgEwB2QRQDl7HWBPF9KR7u5rI +ta56vAL8jvDLkrZRtfCK2P8iVBN3gJeDTqteV32ec2z6jP3V49+esXtS9aLa +g+7+ctmc8htIwXtVPS14OTA5sk/lS411i72GdGuP18Teg2yXz9eib0nk2l45 +879Z/+tQTa/avjZyD6veVTFscOieV72uev7h4KnY90s9/NTIPaJ6Q72BpzKu +7fTPZjv3ryW8fOzao1/SNbVqa/3DCNUfIbOnxD23eu/1OcdS1WTD4J/M2Dfq +Yc+F90DkN623LJ8ohyiXSMdhZMdFPlOdpXJ6s9j/JPQvQmd2LPSb1FvUmR4O +fYd1d3UmOrvm0E2TPsMlaf+j0r+p1eg7EfoO6Owlc3HB/4L0z+dS8Ens4aVi +x3TFdvWa+yL3luo5Vav/O7Iu1ez6d9IUmFbmfyhfgbeMfZf1RhXTFdulc2LW +vdm2yL27ejTFBMUG1VAD8v430Cr2W9M/AvXWuyL3euqx14SuyVWLa81t8Ovg +f6BaGdie9h3T3dKY/vXdF5mnf377su79lCOUK/4HoU6vrA== + "]]}]}, { + EdgeForm[], + GrayLevel[0.5887139100503299], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmHuwllUVxt/vcr7vnO/yvu93kptc5MCR42XSsUwctREFTS01LwGa3AXU +ygtwEAETuYRof/SHd8y8HNRGShGbSWfURFScTLMpsBkFxMpSjlqoVDbW8+NZ +Dv3xfnt9+93v3muv9axnrb27Zl5x7uXFJEmG6qek9me1JBnYTJIDq0nyRluS +3FpJkgXqH6GXd0gervY2tbdH/4yy5R+X/PBumNon1P9LPes0pqtk+U9Fv2PO +oWqfLHscY/q03v16rpO8QO8ber+96LG3xVp3qe9myasKSTK7Ynm++kfruzmS +dxTdd0v0L1a7RM+9+m5pyLer/4iS3x2sdqbWv0byPyUvqli+PrF+V4f8+bu9 +JT/079Rasyq2SW/ivkUx/hjpN7o9SQ4oeM3FsS5rLYwxvRXLacltb/Svq9gm +fy7aDr1hC/ThPzZZ10qSkzQmzf1+QXz7A613o8YNVntTyfKyxGusLHmeQ1Pt +R9/erW8fkY696ns51mIN5hkley6R/HbYHxwMDd/eGv49MPeYCZltMCuwsVXz +v6TvvtTp9ZqhwwNV++EmyQP07UZ8oG/vDBuCr7UV/79bci312H5hca70/Fjf +T9G+Buj5id5/P/F3d4b98QfrL5dcCKzdIfljfXt9h2xTdbs8ZPppL9J8q9Wu +UP9EzTVeen9FfUO0/iaNWaE5K3rGlIyXHwbehgU+sSW2TWOvN8V+L1D/Qx3W +7Vrtd5n6v6b9flC0/H7RfgcTfDuwYF2u0viXM9tqTma9Lg3dsMudYasNah/T +M6RgW/K/R+3zmu+P8tdfNf8U4eR1yX/RXqa2oj81vugHY+e07C/8dnH4EZ3Z +P3ZYI90vUN+FFeNkmv4/qu+nqz1R7UTNU1b7t9R7G6T+Nv3fqP6NmqcoeYPk +ByQfJ3l9m/0yXXtbi63UvqVnCD5TW2nZBiMyYw7s4dvJFesxFX8V/B+uGN9u +/02q+MFO6D2j6v2A4RfKtstjiX31cdm+uiu3fIh0H6znaH23K/NeWevAwn6u +waendZhn4JYFVY9Bj5+3+xvG8352jAGP2HOXdJjQYX2w7azgK/AzrsN6o/OA +1LH7rnS4T2PqsUfahp55kjdozo0V26AjdRzsVoz0avzjoQPYWxt4gXf7Ko4H +/HaP5EeiD64BA/jvnaJ9xBy/iHmYk31uDGw9WnEczFffvKr/393y+CWZbbxe +8uayx2wIfLIma7PHT2SrMe3WAdvWY1/gem3YZ19OqFj3d+X/N9vM/0+3+/++ +fFR1/1vS+3LpsFvy91qOJ2RiakXBdoOHGftGfHtkyftn7/Rvj3kuAseSL1T7 +cMV7IY5GlfwfeWbL4/tT75N+bPcd9b+n/u+q3ZYaE0Vxye7UOl/W8nzYiHmw +M3bFn72y3R44ODM+m8HVF0TMgXnwBV/z/1eZOfBitVfr2au+pbnjD155JvHT +z1i1N8hWp7Q7L8Gjp0oeW3COJ37AX7fa2e3mIeZgTuKF7ybEt8TU9KoxDbbg +Iez275IxviIxR48Nnt6qsU+1mz/ZJ5gdHDFFrgLb5CjkZZG/Vv2fvDrGdMGx +wY3NiAV8i67041/wBK4GFVwnMA+4Iv4/gmujVgFDYAAd24LPh+Qe80Fq/y8v +GwPovin0J08+G/Y/We3z7eYs8nx32A37HRwy+BweNRR95Bv4fSW8xv7VbtG7 +V9rNv/DWJxEXU/QcHnlnpJ6Dwr7Hq//sNue3YVETwCGrNdfTkr+YOr9ti9yG +n7freU7yDrWvtxsL12XmOjhvc7yjnz39Jva1Tf/3ttuH+OjpqCvGlYwz8HVz +cB22Pjj2x95HBfeCaXwyJ/yCTYk94o552R8+eCKzrwq56yv4njzOHrD10RHH +9Yhl4pGakrg7r+z/xNTIqFkWRr06POYaHWM3RuxT/8GHXdHCe90ljyNm9lRd +c4Dl7sjVxEJ/Ziy+Rx5vGYM9qXnu0eDIAeLir9Zty9Mz1w/nd7qmXl9zzJ0m ++fG66xHWRx9y4jfUv6nmfEYfulI33hg5l9z7duRKcuYVGr+1Zl89JLlb8mdV +51V8gd22q69e856oQ4+IOcdlxvQw6fam3p9bNx7xx2ERF3DkkWEj9sl+d2f2 +5ee1GHX75MjLrMnaxOmaqjFFP3XQhKiFeqPmhd9mVt0S78TKiPDXcdLpdI0v +Zz5bUHdytiBnkoOp86nxwR+xTt/p0c84YgMZXiO/El/gER3A5E87/A05enLZ +XAaPrWkkybfrjhmweXjgc0BwGja5P/YEH8L/YAZswJGjgycH546TNLMte8Ke +R0QNia97oqakH+45s2Tc9gdeweqxndb5GLXTy97bjsAtmOfcRA0I/qgBqbHX +Vb0GmO0u7Z+vO/ScJJy8KH/fG+PGhD5zc5/HLslde+HDttR4xY7Y8KDgI/Sc +qHmOrZsjZ0t+rWYuOSzsBsf1BJaQyZOjIg7JISOD07pk81LdPFGTvKPmHLUr +1iOnUAd0xX7fif0Ts1fmru2uUjuyQaFkLi5l9vEpnd775qhv4JBm1Bvk4c1R +E1Jr9EW9Ab9Ss8KxfZqv0nT9jV0HBAbmpebi+8QBX9f7lQ1z7iSNX9Uwzw6K ++KA+g9vviRqPuu6YyFm/rdl22I014H/GDtU8RzaMKc5Y8Cm4bcuMg57cNj4s +8Eld8XDUXXM1340Nc/qSlvf7odpLpfO/OB9krtHh8HdT1yCTo56klqd2px48 +oW4ug8e21cw18ExnaqwO1Rz/SR0/Xbm5Z07T/POq5Csl72x3fl4R+yV+OTuR +s75VNnfD2/A+Pqlovi/krhkH5q4zpgcWwCucQv6Fs+Cuk7SXb7bMW2erLeWO +6Spn3Nxn5MWpMc7ZA5xTt55Q3n8WOT76Oa8wnrjjvMLZBozBJehM3H2503xy +VKf126dn6hpyROT6fXmnaj55P7Xfxmr8h6njnFoDLsKn5Kosd432hyxyb9X8 +jm3Oj7uR4bnlv6euF4hJ4nEfZ8ZaxNZ5MR49eLczcuL0WOvx1Huv5eaqgeGX +GZl59Em1E+vGNHg+S+0ZTZ9B+X9y1BVFjSnUnfP/kdqXIzTng5FjOLueEbnv +hE7XqsQC5/lxwsaZTdedz9ac88h31ChgGZ4lfk6JmoQzM+flafLv5Rq7tuG6 +hHyLD/FtM2rgj6TLrZpzUNN24n4BXlyl9oXMdepLmfM3ebyqObdK7pD8+8z1 +957wG/zZH3XOYs05uen6b2nmWnaR2lcbfkf/2Lo5ET7cUjPPgtne1Fjqa/mO +aGjkuCTzeaM7d803KLji4qjtZ6vdnPnuaUPL++gJLt0TdyF8g232Rt2/Oupq +6rSzIy7OVTu3Ybtgk9nyxyX6f1anOWlinAePCmxPULu+ZRzmks+LWKNeWBn1 +3VVxJl0V9TkcBbbBGHXEtQ2vje/BAHUQZ17yPfXiEunyu4Zra2zfH7XZ8MgJ +1H4Pa8w5desBXsHtAbn7ljbcT2wTs9yH3aLxSxqOIe6k0Gmh2nOkw2L1z1B7 +S9P4Gx918c6ojeG/vrh7JL/3RY5/LTMfLgwfloMT0Be9iduTo16m1gJfn5as +Pzy1JuYBr09FLX1f3HOSA7Zkzm/vN51jiQP8QayQb4gX9tcRvITN+Z6YpSYr +hD7cF+DzZzPnuXKMJ78zDzmLvrboR6cbQgdqh/lxlr8/9Lsu7usejDs7YvrB +qBew2baIV+p6sAgOef9AjFlWdq5ZHvcJvXGHsCvOisvj/oR+7hngZHTYd5dV +8bvP73sWxJhFEXfXZObPGXEOZZ29MSdxQrxckvoszl1cM2pheAsfgaN5sRbx ++VnklSlxNoZ/sAVj4Bf2uTW46cXM/r1M82+J3EqOJa/NCmxzf8w9MHpsi2+f +q+6vd8l9vIcL9kbfrOhHl82hz7qwJxi4KM6jnJumxfmQ+pQzAbELb8BB90Z+ +hO9nBOejE2tQY58aeGeP1A/MA58Qo9NiTmoacmJHbs4C903JY/RMpS7KfCeL +Xr+WfGLu8/J/U883NeZEX/o5a2AT7mW4W94UZ1XOrGtiv2Dx0Nzn80Ny47oY +2J6U+0zBfSFnkQtjzuOjRiN339by/f7tLd8hcf/FWYO79x8Fhl/JPOd86Tk6 +95hRuTmNXECNwlkDHbgf+DRwDK6KufMjeZIcA99y7/JIy/PPzXwHhx+ekfw/ +UBgprA== + "]], + PolygonBox[CompressedData[" +1:eJwlllmMVFUQhs9098z0Mn37diuyqXFkEUyMxg1EFIbFAAaIgIAiq3GGcWEz +kJgBBAY04IuJQdEBDIkmGFFk8QESEZBliApiFPDBQUUUEBxkd8Xvz/9QSdWp +OlV1avnvrZ4yfcS0RAjhTSgFzYlCKIcZXR7CpTiEJYUQNiVD6FgWwmL46Zzt +Rr8HmgE/h7MG9OdxMhv+es5GonsUOoevp4shnMLXtnQIFei/hbYTJ4P+kO5C +H1eEsBlahe113GlPrI3IK5ErkZ/HfjlyE/LP2LfnbvvKENYhl+VC6JQN4SL+ +u0AzY+e2kTsX8iE8if1q8hvL2T/4agt1KHPM1dx/GP1i9FfQd0c3kbMFyK28 +5yTyJmgd+fdCn8Z3LbQFfitUB5+H+sBvwGYLth2Rh3L/AvfPItfifw3yq+S7 +Ht+fIs8nt7c5267cYseOkFfBb1XMcvfgIPpK7lTDz+ROBfztVSFc5b2deOsA +6DQ2jWW2OQO/E90w3t2YCeFlYp7BXwv+vocmc384Nq8Q6zfkZ5DvLeEH27XQ +v9jWoJ+Nfj2+jyCfw9e7xB6F/xti13oQZwszrnkT+fSgB5/AX1aPuTML+zz1 +bcb/W+iroa7oLkGbsR3M/UUZ++iCz/H4nggliP1H5FiaIc3SFM5Wkc8k5HL4 +irx9yld9xj1Rb3pDmyPX5ib0ndOu0XzkA8g70n7XT/i4u8wzdAx+BDk2U4t9 +9OuRonuoXibQ70cf4b8m5Z6oNzs4a8f9bfjaCX9nyXf7kstd8J9xdhndn1A9 +9nUF976Berxe9E5ptzQzs9GfijxrfbFvF9tGtnOhNzTv6H9MuIdTkBPE+DDt +GdYsj6OeB3jjD5y1QPehH0Qu70FJYk/F5krSOSm31/DxeIV9HNZ+Qn+j+wva +gz4FDc7Yh3z1KHm3NSM94V9AvyHpGrSJvKPaVWFEG/IfUHIt7kHfH/53zoaT ++/28dxb23ZAnp9xT9fZzzWPwjnwBvwBqSrpHL2o36V0f3tdP+UJlnE1IeWY0 +O62Rd00Y1AH5pYKxSjZdkY+hP5rwm3qVvAPaBWHSaWFL5F4rR+U6Cfoo5R3N +RMYkYZPePBffW6GVSc/4FvizRc+6drAVfhQxGtEvJOd6+N0Fz8ICfD6I7xtj +Y+MJcvoV/9WxsUk9Vq91Jt135DOhaMwT9ilmAtsTkXXCYGHxtbFnX5h5Dfwv +6I+UG6OEVceRjyd8Nr5oDBYWqwfd0XeGnkjZRrY11DuRM5Y+Be3lHWvZuf+Y +4TXQEvR3QAOFD7IpGMvUw6xqjX0N9BC6i9iXR8Yu9XQMsZqEmfAXibkSfmDJ +syqMTyLfEnvX1TP1rltkW2G0sFrYMTrnWRCGCDOEHar5EPjneONp7Qpnt+Lr +AWyXk8+X2O+Gni0a+5SDcsnEnk1hvLBemCfs045oV76uci/lfyfn85DroP1p +44Zms3fOvjWjU2N/G4SZws620AfYdKj0HdWuY87YrRqGnGuuWguzvin42yjM +uYKvddxdjo/+afsYC9+cdS+EacOwX5Y0pgvbk/jrh7/atDF3X8G73UioZvhx +JWOisHAk/DJsx+Tcy6NpfwP0LXiM+J2IP4N4h7E/XGmMke8W5POVjnEV+0XY +nqQW9dRrKPY7sv72KGf1QL0QBu0i/tLY2KAdWwbfgL/3s/6eq0c5+P6qcdox +DiFPy/vbohyGwL+TM/brG3dz7Fz1jde3vie6hqx7pW+SclJumvGA/iC6urzf +ugt/t0XGctVQtdQ/g/4dLjN/eeRa5K+yttUOaLaXVhlrNeP6ZuvbrZmbRqy5 +se/qH2Je7J3X7gtj9+KvFX8rgmvWB92KorFeZ9Lp7dkq745q8D93H1Fw + "]], + + PolygonBox[{{4686, 3176, 2781, 1480, 4432}, {4624, 1817, + 3196, 3194, 4689}}]}]}, { + EdgeForm[], + GrayLevel[0.679515715062278], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmGtslmcZx5++79vT+/Z9nufltCCsLYnFooKR1gQ/aNwYYOmEHTzgBFsW +TTgVhkbmAokj64QycUvmDqGjG/tCXNaY2HZGzT7sgDCUwxLnPJShMVHYB8bY +Umtigv/f/lfDhzv3/d697+u+Dv/rf11PF927666dhSRJHqpLkqLmw3mSTGjj +67UkGWxMkk0aP9fv1uYkeVpjnsYnNEY0Pqb9yTRJzmvunpUkozp7UPu3xXx/ +rL/clCT9Wi9tSJKd5SS5o0X3tdemN2/WOKJ3F4fMORpt8daz+lu/zg7ozlGd +79H4iva7ij67OHSY1v4a3tD51ZUk2aw7E6Ukub3kM2d05gHJWKO/fUF3O8IG +7rJ3b4v3/ykZt2u/s+jRq3VB82z5pEey5uTWeXPofVPqNwqy/bdF69uncUhj +SGOhxrDsP6KxXuOcxlmNMY1M+uyr+o135JcLGtN1PndN82PyyUnp9XDFNtdL +10s6M679v2v+h8aBgmd+X9edUzp7SDJf0Pkj+ltZ4xWdf0JzpeC7PytYFuu3 +pMMOnf+93txQ9PvPo7fknGixT+/RmT6d2aJ1n+Ru1lim985o/9tVx/zRgt8/ +LpnP6O7eqs9uyZLkv9qvyG/92ttUNS7+oLsDWl9osh8vNtzAwJyIV2ud43k4 +MR5eln6NGtuxT7rdpL2r+vtzcWYsfNtQ8IyvHysYK9e1rhWNXWQhp01vLtf+ ++7o/HueRsbrRtq7S/Jre2laxTuAA/H2+zn4B0yvqfG883uIO/rgt3nux0Xgh +bmOhG77rCOyNx5v4DV8QB+70xxvI/5d82CqM/SQ3PjsDZ6d1bo9+H9N6SeAV +HYnbzRXfX9NsndlfqfO3NjoHd2TW5X7hd7b+NkvjuH5/WvYur1ju5QbrDVaw +pS3ydKjsHCO/8BU2LywY860RCzD1x7LtWar1RNlnD0q3e3R3ssnYOVu+4a/+ +uF/UW6MF5xG4vhjYJj8mG4xP+AaOIg/Xaq9H46B+3yk5d2gMaf2B5A9Kx225 +Za8I3Y5F/mLPSNX4Jt7Yis3HA0uXYn098Ml6q/L8Tdnw1Vl+j7wG37w5HDm+ +QfLO6sxc+f685m/q97pm/43zjybmU3gV7D+p+SmNH4HVWC+Ps8Mhn3warjin +iB9xxJ5V4Tv8Bj+ujlhcCx7hLXTfGBjDztGI2URwO7g9JTz8T35/I7NssDK/ +YFmrQj5cDs/yHhheGVj6eMF35odNG8Mu1oMhH3uejFxrU0xKWi8ITroSnIbv +320wl1zV/F6D+asr/PFTnZkq+Tdr8FffaHnFRstEX+b6WL8bMQXDv5D/PlW1 +HZ+tGOvgvBw6wJP4vitiAQ6XRE79R290N/p99EI/eBR8DUZ9xJ5CozmfuRh+ +uxK2YGMp9heEXd3x1qG4w3mwC57gf+Y7AwPDgW3W2yvmJnhph9avV81tYO1E +1XgjJ+A4MID/WOM35vZYTys3NtQrVxX3NTXb8YY4YXvNvLo+M857Qg4z+fZI +nWvysqpxNxn1C9tfyxznLan33on9joLX1Bh04Awy4YjTwXu/y4zdbanxfTVy +djry//moT5Oh/1Cskf9ck3VDX/iyr95+HktdJ5tl69+0Pqf13TVjFuyuCH16 +wi50RFdk9kWtWxp4Zw3O2yV/quj71AH+viJ4YH3E7mLUZTjzpbJ5kPykfnaE +3IcUu1dbzNP8/kzI/2XIZr0o4oVuv06dH1XZ8pvUGEy13t3kc5wZL1oO9YV7 +i8JvHYFR7OLvy+IM/Qt3WNdHHs3k1MKowxujxsEh1OG26M2oweTQ6cB1IbB9 +q3Qa1rxb8RwP/zfl9jv+/2vq/CK3qKfw/eyoQeQcf4P/7xbPnpF/vqV5InVs +z0hmW+Z+pV3z3NT+eiCznGLI3JfZrqN6877UeUM/sji3DT/O3CfRG9Aj/Em/ +y7L7rcy4B//rNB/Nnf8juXXfU3T9+F7q2nBF+3M11urMM3rrc7N85i+pf7M/ +L3V/TN26oPXjNfc4f+aM7n6oM8O59ec8to/WHIfL0uHf0QPQC1CrqcfgCr/i +M9bI+KBkvamN5DI8/FRwLxzwYNQG8g690f/7qf20sGS8FTL3Rx25bcCWr0mX +rbllwhO98ILudqbGDFwMVrjD3brMHDQvei1659HQFf1nR4y6o/dgfUvuPnVn +ZqxNRO3gTFfYPHMfezsizxcEtg5Erm9NzS3wUG/J/uTtU6k54lrNdWc4euOV +Jcf9SGCQs+jzSO439kvOm5lzjZxryc3RL6X2NT4/HFzEGr9MRL6QN9eD29Cf +bx6+M+hBwNRUnMc/vaHn5ogfsTubOd/J+/ei5szUSvbJR+pLJWyhniCXmoI+ +yIcnl6R+h7idq5kvztes74ehw9uZ/U8c6A2fiLfoyeEI+OHVzLz3SmZ+Yg1H +D0Q/SV95OTdffyd3rLojdl2xxrefzK3jQM0ceSAwzLdXb/ONHrczeIAetivu +rg18glMwS+7Pj14MfgDbIzXrzPcZMYCL8efrmd/lfThwPO6Clwfj7snM6y/m +9mdX1P37Mvt5V9So/QXz/K7U9mI3d7h7InOMz0U8R+J7k3qNz4eirk3FGv+D +QWox/Qh17Nkm8/mvxH8/rLhmvF/z/snU3+N8D+AnMEZPDc74Dn05/Detu0cr +/vbm3ljIpNfbH1wAf4/Ed8SlzJwD9xDfq9E3d0YvRCzgLLjrlsy94HR8d78d ++3AbNZ3aQF3YpPerZevK9+5gxTFG3wuhM3WDHojatCv8vFfydtaMZziYOo+v +Zur+ofAhvc9AxVzz3dx1gfrwdHzrsU8NINZ7M+OF+o19H30jl+xzdD0W3wUv +Rk/CGv47H3HcFLwEpr6Uu//jO2Nd1IulqWM8N75hv1HzXf5H8oPUfehU7p6R +u/Ab3xkNkWuDmeP3cOjfGnWWXqYtuG5fk22kpsMJV6JPps7zN/Z5g7f2pOYb +cIhtxH93YKA9+oKZXpo+Dg7/CBsl46M9ekjOD0ed2iGb/g9FwDbY + "]], + PolygonBox[CompressedData[" +1:eJwllF2IVWUUhtecGY9z9j6z9z6TYzeT6cVUEgYV3RVYQuZo0Y/VENmoGKjz +oxaNv5HimGNldVHdOE4SRSSUaJ4KoovUnBGbUUMLKqGIqLwIlcgRAnte3ovF +Xmu/6+f71veuNWv5mkf7SxHRizQhA1nEFH68hZzJI57HvtYQ8Qb2BPYntYhH +pkbswq4WEbe1RHyWRNzPv73NEefwSUg0D8nBj1YjtqcR8ysRpcaIPehX+bcM +uxs5Tb51xH2K/EKtucS/SL5xfB5rjTjCdx72gmbn6KPeOeyT1DvPvy/Ae8g5 +DexmZAPx7dQ+TK0t6E+BfZvY92fkAv9mgh8Cb6PeKPIu/zvLEa9zls3YKXd7 +G/kB3w2payh3B/I+PhfK7tELme/yedWY7jTCna+Qf4iezQb/mhz/Nrqman9A +/EXiE+I3gQ+m7pF6s5D4XvB/8N1HfA/6MbA8MbYIWU3MZbCtxI+SbzX1BvH/ +CHsV+je5sUv4rMrcu1FyPFhxD/uodwB7BvZ0pE6NCXr5JjHf5T6TztY1JWJS ++eh3b2rfh5D7yDdJ/FL0B8i3G/8tfGdxp+3kuiG1j7D5yEH+vUP+l8h5TOcF +7wJvq/jN9mJfId+csnP+jk83tWdwpz/Qb6X+MPgkudZXXEO1xJlTNZ9ZZ1cP +5nLe/fjeTs4B8Ot1R/4tBFuAXFeYY+Ka3vwS8e8hv5bN8efAfkROke8e3mMx +2CvU7+C817jDfvL15+ZGGelDP4//afQB/O+Crwk1PsTeiRwGG8dnCP0q+ddi +L1Pvqp6VOmf6C/zGJt9Zd38Z+YpcXyKD6Btzc1WcFrcfr7mWzvhTZs6Ku/vI +N4a9Dp89JXN4Lfrm3LOwiPgRfO+gN/3cZ6TZPdoG3oHvJOdbQ/zdrX7nqcR0 +grUk5qC49xv+O4g/jn1nozl1Frynxb3WTE5gL8Uewv4Yu65a2CubvSNmkrOr +0ZwRd6YjnU1+I73VisJnkc+z6NMKv516qt6WWn2Xcc0nsbdknjXNzDD4JvGn +wTnbsO/N7Su+tRPbUniXaYY1yzty91oxiq21+l30Jn9iN+Tuhd7kJmL/5i7b +wP7DHgObk3lWLyI7c3O1PTX3xdnXCnNZPX4V/Wzu2dKO/B69r+bZ0M7or5lr +Q1XvKnEuK7yLtTO0OxZzvjPgW7UTiT+R+yzaCcfRK4W5J06L2+KwuLycmGeI +TQtzUTtcu1yzN5x6F2sGV2beHZpZze7lmrklDtfBnibHrsQ9Uq+66cd44rfW +G4sbY6lnRRzRrlmSmjvaOUvwP5B6lsWR9ZlnSTtIu0g9VC+1M4+gP8G/eskz +9iT6icy7Tv92c5eHyb8x8R3F6f8BwATszg== + "]], + + PolygonBox[{{3913, 2688, 3280, 2382, 4668}, {4636, 2325, + 3278, 2685, 3904}}]}]}, { + EdgeForm[], + GrayLevel[0.7703175200742259], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJw1VktsVVUUva993/a++2GCH0goDHQCOnGgDYqiExyIfFSCaZMiYmssGEwc +SFSEYgLtQxgQPwiF8qk1FCb9iThQE8BI+54TRCOQ2o9MNDqD+FuLtRjcnHP3 +2WfvffZee53T1LZ5VWddEATzM0FQj/G1OAg+w6QT48pcEIxRCIWlWYz4DmKY +wjgK+SMZrX+BbxQ6ryZB8BXWylEQhPg/iO9r6C8MgyDfGAT3F4NgUykINuJ7 +Nh8E/diXh34/dAYwb8R8CPP3MX5er71PwuYpzBPYHEql/ybmVxBfiPmPGBfD +z2V83Yjnciw7b0GnWpAOY1lXr9h4lpE6+R/G2IGYVmO+CHtrBe0ZLsgn4+fe +R7GvDzrHIHsa+nuw/iL+/4CvB7Deixg7cKZbWFsP+TXMr+I7VZKPlZAthP0v +YecE5mcxxnnZ/BQh7cS5MtDbhnEmL5uVjGxRvzkj2RLLx2F3EN80/M1inME3 +ga+Gr4pvqqh6dNbLP2vV53p9kEj+cCz/PBtj2MBaQrcJ42AqeSN0L2LchW/A ++e2vEwbOZXUe1o77BryX8VLebN2lxgwx0mmc8IzTeZ25kqgeezFWgbcbWdlb +lVeNuDaV174FGclWunaUDVvO3BNfZx3XWcfGc4z4jMQ1MUeM8eyxa0qsDRhv +xDhljHmJcdOXESYGvLcto3x+gnlXVnYpP1SQffr9MxUmr0fSHc5Kv5IqL+ch +P1PUmWv435hI5yWMXQXl/ADkT5SENeZzBfTnZ1XHuQXtY924vt4624ylhbHO +wTMSM4MNwDl68F7sW1tGHvHtgu3jkBXKwu8LmK/C/EpRMbQWVNeejPDL+L+h +nbJ64C6My7DnfFF1oA5rcR06ayD/Hmd7G73/OOYXispfaE74DnsrWFuL+Oox +ryuLG3LQzeK7r6j8M/eM/yhkGei8XFJt2a/M81P0VVZfHijrn3P63x4qhq0Y +jzYIU8zBu6HycMJ5oz2emfndDfmH0H0HOhP4b3FNie1GyD7G2iXY/CEWF5GT +2Hu9BfHIjlR81IP6tsBX2qB+ZNztRWE3QJxHGsWDOcz7MH+lJNsdoew3xcJe +EfbCRDhmX7IXfs2Lx+7G3tPYMw++DxeEv0XmmWn34Lmceph1HMX6SEFnIies +yAmb1J3ISZ+YIibZg9Ox8HaDPIfzHMf6kUTYDI3P/Yl6dh/GYxnhjb32RiQc +ktt6Evm4GIkryWWHMS5LlEPmkv5uOM4H7etf7H0+VWzPYVyTKjc/YX08p9qO +1wlfraEwRmx+2yB8PoP5ENZ2IrePNQqvxOqYeYg5/C8VBvdjPNOgnDKfxHy3 +8dwO2x9hrYq9rbDTE4p7K5Ew+nusu4X3JW3e5sac6jAeicMqzhPrwTPS3j1l +2SRHkCuqiGFfKpz+k6o+5IQ+341dvh/JgcQOsUTM9bruk3nFfNBcREwQt7N5 +cS7rMe05e+rOP+vGM/AseyP1A7mUNskhFdtkb7BHyD/MEfuM3EM/jIFcRIyz +d8kF9DPr+yw259MW8UscM7fsrUOOk/5uc6g5lv7oizxEPiLeiL0u8xJ9s87s +YfYqe5p4JYbJj8ddw0n7mnTvcM46cU5+GfUdQxnv0rk+C/Pb7rOMmg8ZA3PT +4fxMuN/Z91ti3SWvY9yT6J3UnejtwvfE1li5aTOfvhcLizswRpH6dCv0hyLd +m3/B5m+xcJ3OUf5i12tzpB7eHuu8Y74L6ufoXsli/Nl9shZ22hPhsgPjlkj3 +3KVYOZh0HtjTVZ+RPDHqOWU1zxl3j/viIfhYjnz9EolTuGfIbznel6HtDFvO +2vcZS+v8rrxzt1at32q/LfY5Yr/d9ss7iD1D/I3bfs0+eHftCn1/lTTudh8w +N8QYOYP7ufdCpLuYdzJ5YcL3K8/YZl/E1i2/K4gLvumIq2t+g5E7WNObriv5 +kevksEG/AdfkxReDnvONNus32ynjjXL2/Sa/jW869jbnjDVi3oh33tuMi7zG +c1LvZElvhWa/BzjnGcmdJy3vdS6IW+KXd85q+9ppO3+n4ivyFv102Bf7/rzz +Q9vLbb/mdyjjn+d3MeW886q2X/XblDqtru3td2ZJb1nmkPzX7zozTuZmg3Wu +OU9XPac+71f23YJY/mt+997RYw0W2x7ryLfniN+LVeeesQ0Yc01+U804TvJS +i3E743pRPuH3NmOb9f3Ie5J8P+23J/madSN3zfpNzr3/A1WM1XQ= + "]], + PolygonBox[CompressedData[" +1:eJwtlElsTWEUx4/3bof37nv39XZpiGGBDd2wIEHRRFILNdScNhFVLdoaEguJ +eVigxUIkiNA2ihg2FMGGpK1oy6pqioWpK0EsiOl38rc4yTnfmc//nG/smsZF +DQkzq4YCqD5j9jZt9iTPrBd6FZldTJn1wy+LzYYj302a3YH25sxO8FaZb9aM +38pis4VZs/aQOPgchM4VmZWQ4CM2rdg24HMJ3wMkm41uX06xKohfB78eakuq +mCZy9UDv4e+hn4f/cXyGkJ8ij0AXIs8M5OO+G6GOpHJsgh9GPWXUVldoto56 +dsPvhLqRRxSY5VPrKvqtR54IPYKvzKr2wwXK4bluoEvS39JYs/CajpI7Llas +amKuhh/irRz9bfI34jueeAuIt594PwqVKw95fUo5v3suYvVAEfYBchU1vUO3 +mJkdJe4Qch/273kboqdRgWq/Si0vIuHkeC1GPoh9GTnKsR2EbuJbQcwDKdUw +Gv/TjPcWMWqodRf219KK1499DF8dKpfX0JsTFjOgm+RaWyRf79F79doeZ7UD +XqNj6tiG0AC+14l3Ev18Yo0kxwfepg9TDx9zwtyxf4C8Ad9v2HaQMh+5FPk5 ++kygGfmstkfSOcaO9VxszrBfV5HL4Jczg2fI7eQowbaet/uBYnrszfhcwfYQ +b3PQlVL/qbR674LG+c7g34b/ZPyX4PMwrV3wHv7Eiv2GXsvBexr2DUndhN9G +EApzx3oCVIl9H/31EXMwEhbLQ2HjmPhu5oWy9R0dQ7xJCWHkWBXiv4LYk3lr +9l1EHkjIpj9WDV6Lz/9vrByeay5vU9FtzWk2Gd62wP8l34VQt1CBzxFm8C4Q +Jo7N11hYd2DfTazh1HsjLeyeFuqG/ZZ9RtvQN+JzOamZNsHv8VvLyNZ3covP +P083ewL+fKgaPHdNSjvsu+c39An/s+jGZXSLP6GtRbqN+/9jFWRl4zr/Y1p4 +60wIg2PwryP1PgeaQv97crpF7/Ew+q5IvfkMv5A7QTzLqpZaaEek3fWevLfW +UDfpt+g3e4FZJLOyXZSvm/M+HeOXkXJ6bv8z/e8MivV3+E76btY6Jhn5HkfO +Rtp9x3gs+W4hdwb60zLUW4V9mNGNL4l127NC7arfuGPq2PqNDMK3RNoV/3M/ +5/Rn+t/pN1BHvN+xcvvMfsH/A5S/zu8= + "]]}]}, { + EdgeForm[], + GrayLevel[0.8611193250861741], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJw1VktslFUYvVPmPfP/88/vThMNtkxjF7qiia8FPioSVy4UCxolqNFOqSkl +ho0LjYnVyLQgWFYsUFqUtQtD0iIL6SMad5iwMSmt9iHxlYgzRc/hHBc39873 +f/d7nO98353tB0aePdQVQvgOaxvWU+UQalEIzxRD2FkIYQrrMuS/VEM4WQlh +sBTCBawvsT7MhvBjDb9xcRT7k0kIH0GWSaVzzXox7E3D7nw+hF44a2C9mgnh +INbnuHs+yM9prBnIbsDXCPRnEMOlXAj7YWMO+zdYL5Uk24V7R6EfwdYCZIdw +Hofvb7F6YeMr2GwWFBvP/bbPnJqwu7ckfX7f6RxfhGyoKF+03W/7w5Dvw2pD +fxXfl3BeKep8wTjQP+NgXnfFITyKfRJ4bGWFZQf7razyp87TwDICLgv4NoIY +LsPn113aL/l8rizsiNtfkfK4CpxDKiy+jxU7c9gBm1dgv54XBm2fGccczgnO +X+DqYklx3s4d+3xJNbvmuvJMnSXnRQyOui7MedF3+40l/d7E7x15+0Gc1UiY +DSLOz5DD8XoI10u6S5sTuNPIqO7MbdjYkltNYovzCWC3hv0T7Ltg5wzkj2F/ +uCa8HqrJBm31YL0DH/sg74Z8LFZMZyFbLsk3/XbbN/0So76iuMK4Z7FaOF/s +kn3iP2puH8a+npfOuYz4TZwGENtzrsUe+HozJx+0Tz/dtsm4Cl26ewO2eiiP +xbX7isrjCDj/FrA6b9lBY9QuCpcVx99jm+TO7or4s+gcWde/I/XG24htHTaP +lcXB++FvEPJ7a+J0v2u3vaZ4o1i9SL+PZIQL+4ecGy6I3+RtET4LFcVIPi8b +29PuF/KEmDVt/3giXo5iH0g1D3an0p8yhxj3snuHPGWc5Cr5y7vk8F7g+wPw +zaaKhTExRnKT+dLvuPuQ8m7kXqqoxk3rMx7WifUK5tRrOfUk581YVTNnDLE2 +4Pv9uuJlnszx3ZqwuTNWbG3Pm3tgqw96d6fiL2vCem3C3iTszubEsRlziBwj +v8jboUS4v0GOZcU9fmc/Je4p+qd9xkletcx5zqROUXH8kxXn+Y285/lMolhW +s4qnx3rU6XhGEFvOJ/YhZcS4Y/myc2dduDi3iSFjZczv1TSr5jyvHoh1n7Xa +yKtnyHvamzde03nhwPrSXmSbe1Jx/xbuTmKdBW6vQ7YtVSycqfQz5H65XVf3 +L33QF/uLfi8aW8r4m+djsfqzCNs/oS4nKnoDXsHeqmqWzzo+2vk40ltIbH7D +908reodob9M+XobsjrLm4qZ9MRbOrU2faXPdMbTNC/bYdXN+wTOYs3fVtWRN +yas/4fePqt68Ab+tz6eazdQlJ8lFcvLBmmpAjIgP7+z3W0mf5AD1iNm430jq +N8ylKeTye1VvIGNfM0/ZHxtZ1Yo93/ZsGkDev0I/D/1/66odazhRFu/Jec6z +jaq+sf+a7s1T8LVWFX9bZc2pLeOy4jhHPTcOY38C6wOcH0+ETZ/xiWPNJ76N +S35fWIsr7kt+Y+wv5MSzGfcTucf+mHMvUD7t3mz4fwlnIr9RRnxOJbJ1MlEu +7AfyttcYER9i/LPjn0h0biXCiHjwe8PY/s+TdePMPqUedW4mivlIIrv0y/g7 +dc2nLez/AVV3Xa8= + "]], + PolygonBox[CompressedData[" +1:eJwtlDlMFHEUxp8sLDvM7M4wth7Bi0ijll4FRhASKwsPQKMWxABKAWqjFh6J +xsiiKFqJFh5Ea1uvxrXw6DSx0EYQCXgW6Er8fXlbvOTd733/9800HOzfcaTK +zLYh1chAYvYC5RF6oWAWhGZddWZ9ObMmZCY2W068p8ZsiPhR8vegT+MbRV9G +vCNjlmTNTtSbHcOXr/KcOfTF1HSjjwVmzSk20ki8CXsp+gbq+6n/Sr9F5MZ5 +s7vML9FvO/PH6DFH7A9yC/1mxD6R71ZGJtm3RM1F4iV65up913HwNND7ODXN +Gd9Juw3R+1Lee/+jZp788Yq+lvm/6f0L2UevZ/TpSd0nfSf6deZ9w36C3UXO +WepXZn3HQep/EvseeUw9rjJzitgqcgY1H5nAfkz9K/Lb6PmAvA9IO3oR34pq +f3O9/VTkmIW1M/A31ltrpmY3gucL8Q5if8kZYb+P2Beo3x34LT9FruumbcRb +8WWxX2JfRp8lfj/nOy3EPkDOBPZn5HXBsT9F2plXG/pMzVqdcwyqU32Z+G3w +lZn9Ft8aYm+Q5zV+443g2ZVWbsUNDqGfq/e3qeU+J9Hv0TshdjhwDlSn3mvz +ArNM6tj2h76bMLZg50LfpVd4Es8Vp68kfqsbxPcGfrNiVOFM4BgjZo2G/raa +KY6Ja7rBLPteS5zr4rC4vB7fJvpP4htOnDPijjALe77g3LsD3t7EOS1uiwMj +2MXEa8UBcUGYhb2T/FPo0+xXrPOe4mXIfu2h36qP/X5EjllYhSnR+zLvPPlb +6Xcm9tna8bT2D72HasWRJal/e/Pkr6N2hl7DdX7DbIWD4qJu1EK/Lal/u/pm +9e2qRrXibCv2u9j/HQ+Z+T52jogrurluPxB7TDtq1/+QE6DY + "]], + + PolygonBox[{{4605, 2216, 3188, 2723, 4497}, {4498, 2724, + 3189, 2217, 4607}}]}]}, { + EdgeForm[], + GrayLevel[0.9999999999999999], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJwtlL1PVEEUxS8Lebz32JW3Y+tiLO0gWkkiQQXdAgsSNLHE+FloNKCJBCiM +vYloooWNhYrCJjYWRm2sRNQGLbRE/wdNlnh+3ltM5s3MOeee+7G7b/bq9JWa +mZ3R6tU6lcweDphd1t7aZTbWY3a/Mrtemu1umL3MzY5rP6q1XJgVOm+L912r +Lcyk7k/qbo+4h8U9NGjW1flWv9nHPrP1zGxD+2vh71WOAftW3AlxF4SbUfxj ++t4Sb0RvT4UZSs5HBw444g9Lbzy5T/zCu1137n69j2T+tinuJ60PijuZXBPt +JPwzxc6kV8s9xjdhauLmOv809/Wu9Jjj+n4lf4t6/yr+GxWv3TTbEbY39xid +zOMRF721zDXxggaez0njvFaPdOYqr8mK9ovy9kj3p7U/1v5XucwWvogBd1Hx +kvY7Ta81mmizhiNf9MBQ5xvS/azzzcr7R67kj6/1wPC+GfX5E3h45ENvuX9e +er3+8+Xrkvz1ydcB7U3dr+auQf7wLuj+Sd1ruRG9px547ITPpciFnNA4OOA6 +1Hep8H6TF73E83LUAg1mj/jMH+edqP+PwvMEj9aL3PuEb+qF3krD55XzNe1n +646j58wB/dqbPG4ruZetmGPyWItcOlFz4r5nLqR7V9iJyn20k+t1Y7ZaoXkk ++dzg64vmaCo8Mttw4J5IHnMq4hKDGaMf3K0G50HldZ+vPEfyI3ewReB/Kcft +0r3QC7wQqxu1Rn900PWY64bq8bt0Dd6IB57fQx71man7/wK1/getgYqU + "]], + PolygonBox[CompressedData[" +1:eJwlkr8vBHEQxd8dObt7P+ytnggFhYqKhNyJc5FQSNBfQTREQhSCQvTCkVCQ +kDi/Ko1C0OgElYry+BMECfH5ZoqXvPnOzJs3s9tcmh2diUtqBbXgJJDKaWnE +kxJ1Uku9dMV7lJBWslI3cW9MuqapBz6ZlA5T0hs1MV9aCKVHhJ7AN7wfrX1q +SuRWfaudIo771rOeNe0H6uepnyZ3TE3V+aEmT/8Yby/4WSGeiKQ94k9qCtQ/ +Z8zLuedMSh34r6Ss1+etStwGfuFxMMS8TeJdNMapv0zaDKe9DI7ozQDPM48H +8DSoIf4D5dC8uhtswdfIFdEb9sxjF3pzgfk5A7fwwbTtvsQ9G+Cngd32wjNv +ubTNdh6dVmfSep1mIx4rzGon3wT/CGxHt5vzFItM55X8QGje3wPb1e3gbnmH +3oZvN/1J2U5uF/dN8pFp9zEjB98OjbtvuAMvRqbtPBTgi6F923u0vvBdADeB +7eb+mX8MZ0k9 + "]], + + PolygonBox[{{4608, 2219, 3171, 2706, 4426}, {4166, 3318, + 3157, 2220, 4609}}]}]}}, {{}, {}, + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3576, 4215, 4214, 4345, 4213, 4246, 4245, 3613, + 4673, 4674, 4637, 4639, 4638, 3633, 4678, 4680, 4681, + 4165, 4609, 4166, 4695, 4712}], + + LineBox[{3875, 4478, 4477, 4485, 4212, 4244, 4243, 3612, + 3898, 3899, 3792, 4425, 3791, 4608, 4426, 4694, 4714}]}, + "0.8999999999999999`"], + Annotation[#, 0.8999999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3630, 3874, 4476, 4484, 3700, 4515, 4255, 4256, + 4079, 3727, 4078, 3726, 4360, 3873, 3597, 4203, 3945, + 3971, 3970, 3610, 3897, 4240, 4239, 4238, 3790, 4604, + 4605, 4497, 4711}], + + LineBox[{4163, 4164, 3600, 3955, 3954, 4057, 4056, 3573, + 3598, 4211, 4210, 4242, 4241, 3611, 4611, 4612, 4440, + 3631, 4257, 3632, 4606, 4682, 4607, 4498, 4698}]}, + "0.8099999999999999`"], + Annotation[#, 0.8099999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3766, 4108, 4526, 4107, 3944, 3696, 4045, 3765, + 4594, 3784, 4494, 3783, 4593, 3808, 4560, 4559, 4483, + 3725, 3872, 3871, 4197, 4196, 4329, 3695, 3969, 4235, + 4236, 4070, 4071, 4069, 4073, 4525, 4072, 4625, 4700}], + + LineBox[{4162, 3953, 3952, 3951, 3707, 4055, 4161, 3950, + 3949, 3948, 3703, 4533, 4050, 4160, 3571, 4202, 4201, + 4423, 3785, 4237, 4438, 4439, 3804, 4660, 3805, 4661, + 3801, 4437, 3803, 4435, 3802, 4436, 4702}]}, "0.72`"], + Annotation[#, 0.72, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3566, 4040, 4041, 4038, 3690, 4039, 4158, 4037, + 3689, 4035, 3688, 4529, 4036, 4138, 4461, 4462, 4253, + 4254, 3625, 3915, 3624, 4252, 4251, 4460, 4459, 3919, + 3918, 3629, 3975, 4034, 4033, 4074, 3605, 3961, 3960, + 3964, 4509, 3963, 4510, 3607, 4610, 3799, 4499, 3800, + 3905, 4636, 3904, 4691, 4699}], + + LineBox[{4111, 4053, 4054, 4052, 4344, 3706, 4517, 4110, + 3770, 4049, 3702, 4342, 3701, 4516, 4109, 3769, 4046, + 3699, 4334, 3698, 4514, 4105, 3763, 4104, 3764, 4106, + 4116, 4115, 4118, 3606, 4508, 4117, 3962, 3973, 3972, + 3974, 4134, 3841, 4133, 3842, 3914, 4668, 3913, 4692, + 4713}]}, "0.63`"], Annotation[#, 0.63, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3602, 4123, 3824, 4121, 3823, 4122, 3908, 3958, + 3957, 3956, 3822, 4663, 4664, 4662, 3837, 4131, 4130, + 3939, 3836, 4129, 3812, 4450, 3821, 4449, 3820, 4458, + 3846, 4137, 4136, 3938, 3845, 4135, 3811, 4666, 3844, + 4665, 3843, 4677, 4099, 3591, 4507, 4098, 3937, 4026, + 4025, 4097, 3590, 4552, 4475, 4592, 4591, 3623, 4076, + 4077, 4075, 4359, 4358, 3870, 3589, 4183, 3936, 3968, + 3967, 3608, 4066, 4067, 4065, 4068, 4524, 4624, 4689, + 4705}], + + LineBox[{3854, 4120, 3818, 4119, 3817, 4447, 3911, 4221, + 4220, 3959, 3828, 3853, 3572, 4209, 4208, 4207, 3816, + 4446, 3815, 4126, 3826, 4124, 3825, 4125, 3570, 4200, + 4199, 4198, 3814, 4445, 3813, 4132, 3840, 4457, 3839, + 4159, 3567, 4504, 4503, 4502, 3943, 4527, 3942, 4044, + 4043, 3565, 3594, 3941, 3940, 4032, 4031, 3564, 3593, + 4192, 4191, 4234, 4233, 3609, 4675, 4676, 4657, 4659, + 4658, 3798, 4433, 4434, 4431, 4432, 4686, 4709}]}, + "0.54`"], Annotation[#, 0.54, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3575, 3599, 3860, 3772, 4473, 4549, 3574, 4613, + 4416, 4340, 4341, 4337, 4339, 4338, 4415, 4332, 4333, + 4330, 3697, 4331, 3762, 4328, 3694, 4326, 3693, 4327, + 3760, 4319, 3687, 4318, 3686, 4569, 4570, 4469, 4544, + 4190, 4189, 4188, 3682, 4313, 4542, 3935, 3934, 3933, + 3678, 4024, 4114, 4590, 3782, 4493, 3781, 4603, 3789, + 4480, 4554, 4655, 4656, 4634, 4635, 3619, 3903, 3618, + 4672, 4633, 4654, 4653, 3852, 4586, 4587, 4704}], + + LineBox[{3894, 3584, 3857, 3746, 4403, 4405, 4404, 3885, + 3558, 4301, 4302, 4298, 4300, 4299, 3557, 4296, 4297, + 4294, 3674, 4295, 4540, 4293, 3673, 4291, 3672, 4292, + 4539, 4290, 3671, 4289, 3670, 4644, 4645, 4643, 3751, + 4094, 4093, 3929, 3669, 4021, 3750, 4589, 3780, 4492, + 3779, 4588, 3807, 4558, 4557, 4482, 3724, 4564, 3628, + 4288, 3668, 4287, 3667, 4354, 3721, 4231, 4232, 4064, + 3717, 4349, 3716, 4520, 4522, 4521, 3718, 4584, 4585, + 4696}]}, "0.44999999999999996`"], + Annotation[#, 0.44999999999999996`, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwV0L1KQnEYwOFXXPu0K3DpCqQh6xoSswajoagtbcygsVy9idqS1iBcsrEh +FSLQCtOGpooy1x6Hh98573n/h8NJ7x7my4mIyHEzE9GZjTjW8VxERV/mI16p +cEfZvMQBX3zyPR0xZXfB2Ws9sndLk4zZqg7tvdNnwBsr5lf2n13va1f3tKeX +uux5XbO6ZVZkx/2TNsw2dYMCHdp8+JaknXXXeVo8MDRPmD86d65LeqEj/aPG +Lz+MadGmysnkv2gqFbHIvftT7zyjyprZNv/O5zcP + "]], + LineBox[CompressedData[" +1:eJwV0L0ug1EYB/DHhESrJL4Xb1uWYhODzdAO+iYlMdVkkkhaEpPBwG0gbAwa +H/VRF8AVuADcB37v8Mv/PM95zntO3mSnvdnqi4gmK4WIm+GIWj7iWlZlMhpR +ZJYL9dxIRJnUbIdbEvVvLqLgzLmZovpMlmRF79tez9wbz7zyktX2ezxZp+Yf +ZV12sxn9Q67Un3KJDf119YO8lIt6CzTU99xRUX/wzhGD7s97+yr91vt6B7TJ +6Q2xrP/njVvZW323ae9Lbss1vXnraTnDAFNM8uPMmBwnpU5idkIes5v9F3XN +HSfedkrDeo9/ooEtjA== + "]]}, "0.36`"], Annotation[#, 0.36, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwV0Lsvw1EYh/EjkbjFXcKGXYJaaummC3Xp4BIWbS0qtRmY/BEGNrEZpEJY +XMJoqbhVXBJWFokwiIRPhyfP+33f95zzy68ztZjMlYUQcmipC6GqKYQfXmsM +oUZdjW85I3/xHMfrQxhAs7zSEMIyPtVps3Z1BzbU68jay/M8X2JPXeCPWvc7 +8yQ/I4ZDuc8sggp37MoX6gV+kbP8aG+Hl/gMaf0UZpHWf+BT/Xf3V8pT8iSK +uMObfrl+0c49otiWe7zTjT8Eewc8o19QT/OmvV+9LfU+J/nEbIyP+BgRO73o +L71pZwLjGC2d0c+ro2avvmGEhxHXPzdfLWV1l/99K7dyG2LOXMkJsxse5Gse +4oR5Bv80Kz89 + "]], + LineBox[CompressedData[" +1:eJwV0bkuRVEUh/GlQcN1xTyrDK2hQ0wxVp5ASEgUJDQUEqLUXkOiIaZw1dRq +HuEaGhQewJz4neLLt/5rr72yT07zzNLUYl5ELOCnOCK/NOKLM+mIQnUBPuU5 ++YPneTQVMYi0vFYSsYp39bSzHU7zT1FECY84O8UJUvK3fg7X6mVkzLfa1YJO +Mx04UvfpH3Iv15rb5xre42quwpjZHjnLlXIF/uwuT96od4kLlMm/+k+4Ua9g +1712+9vwrN9t7lw9rH/KQ3zGXcnbk++Vj3mAG91vQgMO5Fd+wzZu5Rd+5Hu+ +w2ZyJte7X4dJOydwhX79db0N9QNvyb/qnPoJ2WQXp/yHcf1Z/gdFOTrV + "]]}, "0.27`"], Annotation[#, 0.27, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwNzTtOAlEUgOFDgo3yUFwBBTYmihY+0I6SmBATGkoLSt2C2IidoCgvpRPX +pJGGDShWxgK+4ss/58ydO/mLq/PLRESc8ZmOKGQjPvRJn3mgyyO76xE7dDwf +ZSLaeqiZDec0rR39tZ9T5cB8rz988+furLbtV51PscaW3dS7Vx0z5IURX/b7 +/jvwfOq7np5oX/fsi2y6I0eZOgXvB/Z9VsxJtu3ezSV902OdaEsXmnAmaJr/ +zdd6a76jxY15prVcRIUGS94LKS0= + "]], + LineBox[CompressedData[" +1:eJwVzjtOAmEUQOGrQRsjCoWt2OmY+KjEB6HRxBgfyWjlIxAXgFtxB1hiKIxY +UIBKT6s7INEdELDxozg5955//plZuX9Ia1MRcYbiQsQ2Zhcj3vkDXczYM9jN +RTSzER2tyt9ahb/4mXecl8y3zm9wjTu9zQf673zEtD1vb/Ceto8ffUP7Qwtv +eMUYI2x67xZezBeT77tzzk/aUKubV80J1nClXeJEb03+2Zxz58jc0w75k4+5 +z488xggFe8nzy1zORyxhHQnm9IFnUvMpKvgHtAApPA== + "]]}, "0.18`"], Annotation[#, 0.18, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3545, 3876, 3544, 3982, 3983, 3979, 3981, 3980, + 3543, 4141, 3978, 3637, 3976, 3636, 3977, 4140, 4139, + 3728, 4361, 4418, 4417, 4441, 3620, 4248, 4247, 3722, + 4355, 3626, 4259, 3635, 4258, 3634, 4350, 3719, 4222, + 4223, 4058, 3710, 4346, 3709, 4518, 4059, 4519, 3711, + 4576, 4706}], + + LineBox[{3895, 3884, 4088, 4013, 4014, 4012, 4086, 4085, + 4390, 4391, 4010, 3657, 4271, 3656, 4511, 4084, 3737, + 4380, 3738, 4381, 3922, 3921, 3648, 4002, 4112, 4578, + 3774, 4490, 3773, 4600, 3786, 4479, 4553, 4648, 4649, + 4628, 4629, 3614, 3900, 4670, 4669, 4627, 3793, 4647, + 3850, 4577, 4697}]}, "0.09`"], + Annotation[#, 0.09, "Tooltip"]& ], {}, {}}}], {}}, { + DisplayFunction -> Identity, DisplayFunction -> Identity, + Ticks -> {Automatic, Automatic}, AxesOrigin -> {0., 0.}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines -> {None, None}, AxesLabel -> { + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + FrameLabel -> {{None, None}, {None, None}}, DisplayFunction -> + Identity, AspectRatio -> 1, Axes -> True, AxesLabel -> { + FormBox[ + TagBox["x", HoldForm], TraditionalForm], + FormBox[ + TagBox["y", HoldForm], TraditionalForm]}, DisplayFunction :> + Identity, FrameLabel -> {{None, None}, {None, None}}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLinesStyle -> Directive[ + GrayLevel[0.5, 0.4]], + Method -> { + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, + "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + PlotRangeClipping -> True, PlotRangePadding -> {{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, Ticks -> {Automatic, Automatic}}], + StyleBox[ + "\"\[PartialD]AND(x, y)\"", FontFamily -> "Helvetica", + StripOnInput -> False]}, + "Labeled", + DisplayFunction->(GridBox[{{ + TagBox[ + ItemBox[ + PaneBox[ + TagBox[#, "SkipImageSizeLevel"], + Alignment -> {Center, Baseline}, BaselinePosition -> + Baseline], DefaultBaseStyle -> "Labeled"], + "SkipImageSizeLevel"]}, { + ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, + GridBoxAlignment -> { + "Columns" -> {{Center}}, "Rows" -> {{Center}}}, AutoDelete -> + False, GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + BaselinePosition -> {1, 1}]& ), + InterpretationFunction->(RowBox[{"Labeled", "[", + RowBox[{#, ",", #2, ",", + RowBox[{"{", "}"}]}], "]"}]& )], + TemplateBox[{ + GraphicsBox[{ + GraphicsComplexBox[CompressedData[" +1:eJyMfQV4VEfUNlIo7u7a4g7FD+5SvFBcipTiTnF3K+7BCRogSJAYgRAkrhDZ +jSeboMXh39x735l/zna/7+PJ8wxn7tzR4+fM3Yqjp/YdlyVTpkwNCmXKlFFu +r9LV+udEmYx/Ouwu4Ajnv6x/Puy5v4C1xxHBAg7XKwS8TWtvEnDlDHB7rICv +ac3jBdxZGyBJwGFafykC/lObkEXA+r+XDJbrwnoAYz3qc38BYz2AsR7AWA9g +rAcw1gMY6wGM9QDGetRzeMlgeS58Xep63Nl63Nl63Nl63Nl63Nl63Nl63Nl6 +3Nl63Nl63Nl6bPHqv8+Fr8tfwFgPYKwHMNYDGOsBjPUAxnoAYz2AsR6VDl4y +WNLFf+OVu806AKvn48/Ox5+djz87H392Pv7sfPzZ+fiz8/Fn52NL1/9NF+42 +58DXARjrAYz1AMZ6AGM9gLEewFgPYKxH5UMvGSz50n/TtbsNHvFz4OsAjPUA +xnoAYz2AsR7AWA9grEfloy9txvv2PeNflBgPMMYDjPEAYzzAGA8wxlNhycf/ +mw+629Adx1t+7nzf+LoAY32AsT7AWB9grA8w1qfKoZdkTy5hfZwPcj7C6ZDj +MccDfk58XYCxPsBYH2CsDzDWp8rVl2RPzmJ9nK9zvsj5CqdLjtcc7/g58XUB +xvoAY32AsT5VT3hJ9vQGrI/LKc7nOZ/kfIbTKacjjnf8nPi6AGN9gLE+Ve95 +Sfb0IKyPy10utzjf53yT8x3OFzgdcbzj58TXBRjrU/W4l2RPr8P6uB7B5TCX +Y1wOcD7K+RznC5yOON7xc+LrUvXSl2RPT8X6/lsv4noFl8tcrr20kROcj3O+ +x/kEpyuOh/zc+Dr1+TnY0b8daLLW/oVo10X7T4wNjPf05aSxfuU46E/fJxfx +PuD/bVyMw/ux1y/a83ljnnze6jmlEa/HOP/9ntw3tFfrtzM8SSe1Hnw+UtTr +RbQNjPa8H5S8H7RDqZ6L7Bfv8f7trYP3o56bE8MXJzGOvm/OYjzAaKeepyNb +jxPDG0ebfbG3Do5nKNV6J5vnqNfn6SXao0Q9+AF/rvIJX9EeJerBP/hz1Ovr +DBTtUaJe5TfyOer1fQsT7VGiHvyJP0c9zgXtUaIe/Iw/V+tjRHu1vxijnVnA +vB78kD9Hvd5fnGiPEvWqXiefq/pdgmiPEvXgt/w56rdq80gW7VGiXtVD5HPU +V9LmkSrao0Q9+Dl/ruoHaaI9StSD//PnqnzmdOBkF89R2sNjVR7a4ilKe3iI +0h6eoeR4BDmK0h4eqXaMLZ6gtIcHqt5se84o7Z0jSnvnpOpFUs5wfs35IGB7 +fFblw16Mb7szOefK3vdifN2dyVtXm3mockjOC+05rDf3NPr1toGnaM2fkFZd +xc8G1scJIL3bIBtYO67vIcb5h9vA+rk/F+vmMNan71OMDayvB/aw2QbW1xFn +4EW8DazjY4KBF4k2sD5OEl3V+k22gfVxUqiT1q/FBtbHSRPnbA8PcK72zl2V +s66CTwBPca44fxVfXcS5cnyE3FVhJ9FexRdfNq6vmB/wQh0nUPQLWOVXAeI9 +8B30Cxh8C3iD97B/6Ffd32CBR3hPlWNhjE9FiH3BeyqfeiFg8DngmYqPcUzu +xjE5GsfwM4H1m8DkZgLD12TRL2BVTiYx/E0V/QJW5WKKeA98D/0CVuVgmnhP +pU9Psa/AD9VP6CL2FfiEenvvAc/V97yY3PJi5+dpc37oV/W7uQj+gXHQHv2q +fjgvxn88Gf9xFu+rctok2qvPHRjsJNqrdOwk6FmlQx7nkPSL5+g/E/uH9YMO +MT/QGegL/WM/sV7sC/gj92MAPyBPgTcq33Jk/MOB6SsOAg/5c8wfeA0Y7QED +3wEDnwHzfeN4hf4Bq3qD5Jv2+KK6/76iP8DoDzDmZ29fVD5uy1cxHmCMBxjj +qe+n2dg5qh1hFjD6A4z9Boz+1X1MY/pknOCnqv7/gvG3F+J9/hz8VR0vho0X +Y0NnKn8xM/5htjk3vq98X7hcwPwAY37qeGk279uTG3gfsLofcTZ0wPGW4x3H +C36u/FwwHmBOl5zuOF7YOze+T/bkGqdjToecjjie/zdexticC99ne3KT8xFO +t5yuOB1wvOZ4y/GEnzs/Fy6nVfngaqNnc70XfJ3bBajncgd8W+V7Ug9V+Z+r +sB9wbpArWq//n92AfVTnKf0ZqMe8uT8A9ZA7XC9X7fc0G71cPd8AIQfxPtd/ +VL/uJeO9/cZ7jwy7576BD1eN+uVMzm4X+8z3j5+L3t5J7JMqzX2Zvh4onqvy +1EnsA56r8tVJ4BFgnLNeujP5zONELoxP8DiEpGM8xzxUPhxhI4/1930YH/dh +8t+HnaPP/3Hf3G34vnr+CQJW5y/jDJwP4Pn/7VzcbewiLnf0foMZ/QczvhjM ++IDMN+B2FJdj2HfVHpFxLs7X1XNKE7Bqh0i5BntJ9ddFMb4mn/M4E+fbPL7O +9Vyuh3O84efM95nvC7f7uNyCvYb58bgR5+s8vs31Ih4P5nJJjS+n2cSnuV7M +47kcrzlecTzgcofHj+3xFbzP9QMeP+XnzveV27kq33K3kc88/snpltMNxyuu +L/B4Jz8Hbler43G+6m+jPwBPOB1zOuN0o+ZRpDE6eGmDJ2rcPs3Gj63KdycB +Qw6p8shdyHeVriIE/4Lc1uVhkGiPepT/nf9jZnLdzPTkOBaHchVyVV3Hdht5 +hueQx9xvxf2gWJ8ql6RfFHoDzhMw1gcY89X7MYmS+zF5vAX12A/A8PPAf4OS ++y15/IO353oSYLVe6kmAVfkK/fGk0IuAJ3q9s6H3uQm9CLC+zpvGft4R9br+ ++kDoVcATrteqdBNu9B9qrC9M1Ovvw39jYnow+DH0bfAd+IOlv1eNI8Bukf5e +8Au9PewIi9DrgFeqni3zOMHHgF/YX8Bor/fz2GjvwfiL1LdVOg2wyTtT7RIT +iz/Y5pkBj7GPertowV9UeZbE9HbbPB/gMfZZb5fA5ESCwEfgN2Duf1LxG+8n +MX+UtAdwroB5nopKD3g/ldGrN6NrLwGr9GFidAG8DLFjZ0k+jH0FH1Pz6hwE +n+T8jfNtwNyPoObtuYj+OP5xvg9YjWP5CnoFDHrV6dvPxm8PWM0DfG4jJ1T5 +Ifmn6teIEXim+h3iRXvudwfM8VPFN8S745he7SDmp56PtKNVe8+R6QkOLE/L +gfHZ7QJW8cPhf5mH7biqfYl8zufi/f95XrbzUP270P/S2PqdxLmDT+ndwW7y +t5Gb4C/g21wOgl+AT0PP4HIBMPCZ833AkFuQY5BDkEuQQ5BLoF/II8CQO7o8 +SBF8KFRrYBF8BPSk0n2AoFvMW21nYnIE/CRarAP8GXwQ+hL2S4clP1X1iBS2 +r2lMT7CIduAnap6LJzs/T6bHejG9yMPoN0KcD/ZD1WddxXPgoUrfsI/ihfzG ++YP/AD9UfS+QyVlf8R7wlb+HelUe+9N1reFTgc/gM6r9msj4VJigDxVvndm+ +Sb8e2gHm/BLzRT1g4Kc+XrA4d+yrml9hFvup40GsmAf4gr5/VwW9QJ6AD+Bc +cF7AB8gXnD/oS5VvTuJcMa5KB15C/wE9qnlsPmI/1PdkXhX2Be1Qqn7xCEHP +qh4SJfYP9MbzmrCP6j7HCH6m6x2Jgn9hXPATjAv9QJWDIWK/sB+qPeglxlf3 +XeZlAI+5Pg26UPms9Jfw99V9DbPRv9G/iu/uNniMfoAfKl91Zv50Z4Yv7swu +9BT4rtcHCXzW3zMz/cRV4AXWqcrNAMZ3ZRxFzWtKEHxa1WvNNnwR68P4gLF+ +tMf6QG+gL/TD5ThglV862chpHjdXx/MX+4dzQT8YB/jB894hH1T92SLwBusF +PwQM+4nzOVXfTBd4B72dxwdgv6A/8GG8r/K7SCb/5bzQL8bh80S/gDEvPg5g +6Bfgn9AvcN7QL0C/evtAJldkfETFO2nXQt6o+XDSjlXjgdBXQsR44Kvgf8A7 +wLDXMX/Ug49zeZ6J/QP9qnLJWegZgIGvqtyRcgT6C+gG9KbiZxrjz88Zncpx +0Q/65fNAP2oeTITdfdDnu5ztH49bcT+KpGtVH/AS+jbwCPiI8UEnwCP1/XAx +Pvik3t9+0Z++3PviffSLfVDz33i+m0WsH3IdMPiX6i9zEXwV6wPfVO1Bnl8l +/QvAZ1W+Sn8B5qn6IWTcVJ034hxm5qcCvYWIfcI5qPxV0jPORaV/FyF3uD3B +/aLQQyFn+Dmq9kyM4ENqfqO0b1EPfQP8jdt9Kj7KfHx77fT+kdeL8ZGHmyjw +CfMGfwEeAD+AX+q+RYj3wCcgv9W8TthDsP8TDTmUKM4P+hL6wXlgHFX/CBfz +Vu0UH2Pe0Hf8mZyU95fRr+q/jrKRw6pcdWDzk/Y92mHegPV5v2Txw3TRD8r/ +jufFMHqOYffAzIy+zaTKTXnPC/SoxtXlPSnVz5Ru81yNV6UL/MQ81ft3Zptx +AWMf+Lh8HMDggyo/iRN8Ut826X/R8SxN8E3Uq+2Wi3Y4P/AN8DmVv0o/mF76 +CjrR20u/NPAPz1V9MlTgu95/KIsX4J5lvCHnYhm/5nlR0v6GPAJ/BH0ABr8H +jPYogc+AsS9VDD0D/QFGO6wXcgJ0iPdVeeIo8B3ngnbqe9tt3vtvueQj9uF/ +9sNvt9FjVNhL8Al1P+z55dMFrOYNhwn5iHNX4+Nhgq9wvRXyE/NR/fieol/u +x4YcVu9dPxfPeZxA9eebhdwF3wB/QHvAqj6SbgNzOxvrwjhqXNNkMy7XG9Be +pX/bOIW9eap8MYHxJ/txCn7OODecI/RPfo6A7e2LyleTGX+Ueg+Pc6A/rpcC +xrr+W++Tdh7iYBiX64Xc74m4GN5X4zwWm/g9+INKd07MnpT//me+wN9zZfRq +sjkHwHiu5oUkCDpQ/agvbPAIsHrPKYbZsSYbuQsY73E5Cxh8BviAdQFW4ztS +DgNWv2sg5TBg6Dfq/nqwOKS816Hm/wcI/Uov/W30QjW/wcTyF0xC/9PHkzDk +Dr8Hwe858Dw+yEu9/1CBj9w+UPN6pJyHXwnr0OtlHBr6PvejAgY+6u0Rb7hs +zOu4gPVxzrD9v2OUsFNuC1j3F9wV56HjL+IViKNLWH//odgP4DvOT/Wfhovz +Bgz/BPYffFpdZzTzz0eL/dHbX2X9B4r2av6WI6P3S+I8sJ+A7clptR2/Z+xo +o7dg33lejyrPnNn9QWeWJ+or2nM+ptJTuqBjrFClYxf23FXQF+YJWD0nf6b3 +honxcN6A9fbBYr783oz6nQR7cW2TDd/S69NYf+mivT0+xb+HwuW5StcyD1iN +Z0i/gHovN1HwA9Vflsb205HZ95dEiXo1H9uL6SVezK7xFvuB5yr+eDG9w1vo +X/p4foI+AYN+oDereXm+7HsVvmI+eB/19uL4ap78C+bvfSHk2H/LwxjGn2OY +PS/va9jLcwD+2ctbUO8j2+YBYF/tnRPWa2/fsE57+4D+7J0r6Bh0yO1g1R+O +71bsF3IH/AAw+gf/0Pu/b2NXQQ5gfJw3+Kx6/tIOVfu1jZuC76vyW+bpQd5B +n+R5VtBv1bgR/Fphol71d8l2kB/wR6t+IW92b8db6AmQh4BB56o/z130D/pG +f5wPQL7o++zB8uAeG+Nw/dVB4ClgNa/WQfA59A8Y/Aj4AnkFfgFYvSfuy/i2 +r+C7PL8A+ID+8Vz9vo2v4KuqPy9FvI/xgS+q3RnI+H6AgIFvwCO0V/WLQGb/ +BAgY74OO0R7zB8ztMsAc31X/q7TH1XzUMJaPECbmo+pTCaw/aV+odlmY4Kfg ++6pd90K05/EO/j0anlehxmV87eKJPbwAjH20d872zpXvI7+Xjfe53cXPAfSg ++ql4HoynDR6rdBNoF8/s4ZV6L9s+Htg7d8D/Nz5gS/eqHfmc+Xk8WRzVV+C9 +PToFjPXboxt7dAIYeKnmy9viJY/rYd6AwX95nBH7ye/1q3HsUDvxBinfsC/6 +OP4Mr/3t+vmxfjzXx7vK/MFOAtb7vWz0s0vYW3o72BtXDHiGTR479oHLFx1e +LmCMp8oLme+O/VXXIeNv9uwInD+e83sXGA/PVTx1EXgIWOX38l4G5zOYJ/AK +MMbh8kMvZT4TYDWOi+/awG8WIubB81J5HgSnW/Vei+39J47n8GuofscYZsdI +mN+DUfMXeNzRySZPl+cd8PtLPA+W53EAVvX7OLGf9uws9X6AvI/E7R7Vr+Rj +w4+xT1wPAX5ymNt1gNV7C7Z2HuSvqnfje3fye5bgr8AjnAv4D54D5vfmuF2k +3k+NEjD2S/XnObH7Ss52/Q6c7sDn1DiBt40fgsPq/ecodr86mumZ0Tb39Lh/ +kt/LxL5zv4caZ5H3KvEc+4nn2G88V/UF6WcArPIf6XdAf6qfSfo/8T7wA3QI +PqzaAdwPtV08Bx/WS2kXwE5APZdTql1m+x0k9T6k7b0MwOBf/DtHKl+yvYeh +wrbfQVLjH7b3LlTY9jtJql5re88CMOQt9AGUqtz1EHoD6Em9XwQ94rqgF1W/ +eGCTVwq81esfCjmuxuXCmR7Mv++TxPh5CqMzSZ+qPPZhcu8xy095LPzBgFX5 +HCP4jvp94UiGF1HsXlQkWwe+7xYj8Eqlr2iRD6Lvm4R1NhXN+HA887fJfH7V +7wv/vcz3gbxBPgvwVPXTgP+jvYR1/TGB2f+PBKyvx0ucq74PvmxeMQzm3xOL +E/F2fZ8krI8v/R/gJ2q8BHI+QvAPNS/mJNOvHJkccBR4pb5vEe+DP6l5DY52 ++7XXD8//Aj2q95rChT9Itc+gV8n7Eqo/F3SSQl+1/pMFjLii6s9FfNFCW7T3 +Jaz6XZ2ZPHIW9AM+o/Lpm4Ke1HtJtvcx1LxJ2LkvmB5kG4cGfuvziRUw8An+ +KFXPQz6mzPMBrJfAl0AB6+2CxPj6PANt9CrIPewTl9OqHzXYRg/iegTXG7AO +rp+Cb3I/Mvia6p+VdgfPe+V6Nc4Z+IlzVuW3k2inym3bdqr+4sP47yOWN/ZE +1Ntrh3lWMfQErE/Vc3yEnc3jAqrfM0LoN6rfzST4uMq/Zb29djyuqt6LTWT7 +LuvttcP5qv6DGAFjPaodZWZ2V4KNvqnGdwMFPkOP0tfrz/BcwngP9fbeU/PN +44WcUuMaUi6ATiBfdDQLYnphoIDxXL2PHmijx6t6XarNvoCu1e/QyjgD6An0 +rdJLGrPr05k9lMZgL4GP+vzvCz7F846AZ3q/HgIPAat6rYN4Drml3kvZLugF +7VU7W967AV6Dz6h6SaLAU9A5v3di756WOk9nIR9VeeJpo6/iOfgbYP25/G4n +9Dy8p+bvmJmdbmb4J7+jgfNC3g7kLmD+nVzgEfJ2IHcBc/sS61D5mweTIx5s +Hols3EShJ+M81Hkks3v2Ml8D61HxyVHgC2DVnsTvtoQz/Ipg+IV7bWGi3t57 +GMeenqe39xf8HHyF6xfAU6yHx1W5fq73a2sXYl+5/gy7j9uBOEd+X1Ofh4T5 +PSp7dow2/P9nt4BOsG7gO2D0o7/nx/DLX+AX+LJKdzJfATDkjT276L/tIOk3 +AL8DrPo3bO0abseo9GrrV0M/9uhCtXdkvqEqHyWMfuzRDeiE29fAU5wTz1cA +XqhyVn7PAn4LVQ/2ZXJG6js8X0/Vdxxt5CZgLieBb3gOvFHzVoPZfYZgZrfI +36tS5WmEOCeu76vyReYdqP4U+bsMav6Co8AL3g/2Sf1+krfYN9ABnmO9qv8y +ifl7zCxfwWRzD0DNx5T59uAbXN/i39WAXsH1BtgvkEtcTqn4LPUqlc6kXqXe +w5PfXVLzXlPFPqj+pCSmTziw+04nmb6O+BT8BPcZH3IQ+6/KC18Bq3kqYWL9 +wHecD2B+70HVs0zM/jIJOxV8GeOo+BrK7MY4hrdxLM5+Vcxf7/eKiGeB7rj/ +nucVcX+0mlcWLvCD56Wp/o9AJmcCBX3x/E/AeA68U/OPoC/BHyPxEM9VPniV +yT/IGXfjvK4zPR1+hIfCv6vqCfK7vvx71fy+uN4umtlTMq8A54D9A4z8Gc7n +MK7+XPoHMC+ct0oHy8V+AFbjwi6CP2J/eNwCdITxwc/VfC93Aav6BP89kQSh +1+KcOV1wO0bNf//f9N5kJh/5962TmH1lXy/mejP4kMo35fdHgd+c74GvqvGU +dLbv8vvskE/69t8XMM4BfiX0z+85cz8Lv2cF+Q984/faMA74AGDwAdAT8shw +/uq9GA+7dsR/44W0d0AfwGeut0OfV/N6t7P423aWlym/ew5Yvb/mwuT6TXb/ +S/qVsE7sH+hB3U+pBwLvVD1QwpAn/H4MYJTAG273A9/RDvjK/QxqvkuCjTyG +/gu85/ov8En9TqarODfIYfVeXoI4X5Xe5ff11PxyE9O/wN8lv8c54dzA73Bu +gHFuwE8Vr90EXqr2jgfTR72E/Q56VOM2nqIdYB1/HzB57s3oIID9zof8XQw1 +HhXN9FAZRwSsxqsShD8E+6j6r6X8Uek9lN2DOCnyU1R5sl3wKeyTmo/nYmP3 +gW8AVvmG/G4C8Ar7CLz7b7+H5M/AP5wL/OU6HCD0BX3dJhs8UfUvRzt5yWam +55uZHS+/1wCYxw1UfJXzVe0afyHv9XYSBp6oeWmSXiAnuFwFPgJ/AWOfwbfU ++GIg8+PL+KH63YposW41fif1HTU/QOZpAAY9gk6xb4BVvi5/bwfyhOelqHEw +H9Ee+6v2L+9X8Lxp0AfeB4yS6/uAVT4uf3+L5/3B/6PPQ/7un8qvou2ug88L +sBpPkn4m9KfqA/L3ANX8Ix+BPxgPsLoP8l4dYPTDv6eM58Arfj+Eyxn+e7U8 +j0u9xyd/Dwr7yfOyuP3N88wA8zwxNf8qjfEt29/B4vug72e6eB8l6sFX9dJB +1Ov9yN/XRL2KJw4MT1zs1gPW8Rx2myxRD76v97NclGp9NHsebec9Xh/N1htt +U6+uz0k81+uvCljNF5G/lwk9Ta0/yebjKGDIK8gplKgHfoAvoASfRKnWy9+d +U+34aObPfCHq1funL+y2U+9jyO87qHaomeGfi9gflKjHPmJ/Uar1nowvSb0H +ckXvz0OUqMd+gr/y7/ZBH9D7lflUqNfnESDkOfgs7AK9fajIW0CJetVOl7+D +yL8fp+pfL4TcVf0u8hw4X1X5McfraCY/zYyfyt9XhB+kiiHPUaIe+rSzoUeg +RL09vgg9EXJa9cMkMPkt7XDVL5cs9Bs1zyGJ6T2pgp+qfvJUYTfDH67e35W/ +78j5JeqR96Lmr1hEPeQZ3///K1/4v/IZ9bm3wAOdb7iJ5+p3g6JZHrqvKFGv +t4M8DxIl6lHyPB3gKeIhyAdDiXqUmA+eq3As87eZRT1K4B3yo3Q9SPo9gFfI +/9H1jmSR36PXy/xU8BWVnryZPJC/o4p6+F1UfhMo9FwV3xIEDD1VxackAcPe +wDic36n8xCzkHPQX7Cf05f/+7nGMmAf/bjGPG6n0JH8HB/iq8qmbAoY/EfxS +zQOPE/xV78dflKhX417IG5f5XShRr+pN8CvAjyfzulCv08tlY9+OCHzS+4sT +JerVe5+ugq/p+y+/0wH5An0b61fv58rfWVbjNy42+qIa345hfhhpd0BfwDyA +h6BT4MX/zCecxHPkv+r9XRGwjofXBKy/d8tYB/9ugLx/ie9+Ic8TeMC/qww6 +x77r6waMuGkSi1ciD1Dm+4HuAWOf1DzAVIEX4AuA9XNE3NldwHrpKehdX/8j +Qd+cfvh3JfAc9M7jqvy7E3iO84E8Af7q53BelKgHf4C8UfMBLwl9ScUHd5vz +18/PVZQqXviI9ePcdfzwFiXqVf9COLPfkA8dwfBF5pXpz2HHxYgS9aofEf6Q +ROOcZYl6NY67nPk79tut/9/ybNXnsG8jmD4g485YP/AJ5wI60dcn86P159GC +DuCnBKzvm5Q3kIfAN+hNkHvq/BFPiRB4Dhj4g32B3NX3PVbgrRonkXm5sP/V +uIfMw9XnESb4Bvgq5KCOT9LOQb+Q8yjVPGCZ14sS9ep+Bwi9Qv3uSjLzh6cy +Pp4g9A71XpMs1TzvEKFHwT+IfdTXFcj0DuknUfU0+I+k3OR0xecF/AWeqn7L +m+zewx07fjtpN6n2k6/QF7GvKFGvt5PfeYb+B/tGn5fUW9T7+mamRyWK84H+ +pNoBycxPm8r4cyrT16W/QS+3C/8R/BOqn4L7T5aLerV9gNBnVHqJF/JJxd9U +gacqfvoIvFC/4xctzhv4otqR8p4N9CSdDyQxvY7/Lp/8/j7wSn/uKPAHfEzN +M3QRMEq0g14NfIJepOIDj7fHMftSfo9WX6+DmA9KdZ5eYjx1XG9mhyFv8wyT +q3eEXMR3kiD/sJ/6eSYLuQU5pvfjJ+wr8Bmel4D91UuTTV6CSscpgs/zPFWe +l6rmDwSL+ellsNh/0CVKfZ9CBL4i/gV9GPdRsF/QO7A/qr7wUOgBaIf30A7v +oR3eg3zH91ohv/G9VvWeg8QL1GOemDfkCuQM6AfnxOWM+v0S23bYJ3t0CT6N +80ep9sP5+FWBjzo+OIt6HX+usO9+XWV+AXlPAe3wnl4vv7umru8x03flvQN7 +9xbQDu/p9SabewKoV/UZWY92/N4B2uE98DF+b0DN10oS+h2/h8jvIaAd3qti +yF8uv1CvxjlimJyS+eGgP1VOJQq7DfIJfinII/AzyGmUkDN4T83LThX96O0C +hdxBiXrQM/QO0Iuzoffo4yG/XPpdUQ++p7eX/hDoCSjxPvdLogR9cL+gen+U +fwclRMhL2HkoVTmaKuw6lKiHnFb1qXQh51V5gDjGceEfgPzAumHv6u29BH/R +n4cK/MA+wP7V+5HxS+wD7FvcPwTfAx8E3wMfxD6r8XwPoQfgPABzvoV6yHvI +F72U/ijVT5rG7No0plekMX1Lwmivl6lMDhy30SMgB7DPwF99PLN4T+WH8ruG +GE9/D/5dqSeDz0C+oj3sFuw/zg37j3OqYshTHT+CBR+HvgcY42L/uVyBXgA6 +VPOTZL6Eer7yO3PgE2p+0H3Bl0B3qh8pgflfpDyHXauPc9aQzxeEnNb3242e +ax3fM/qX8l5/D/4A5DM+EnY89hV2OvZV7xe/F2P7nRV9PCk3VX+2v8A/NQ9W +nqe6viNsvl5iXqBPzAv0qPVnMfbpuKFPWAz6Pm745bwNel4i4/zAB6xP71+u +B88BY71qfpq8B8zvBeMcM+X5we3LTRnXR7l6VOa5tX2uUInslvIV1ko/D9rv +MmDU52l/4ofquWTe3IAg754udR7TgKKlBzskSvuzdbHOf6cswD1OWVa/P/VV +eosQqj2meH9va/+6vS/v+XbpmjqgdGXpVweM8bJ+WnQ4c2WpPwG+YvQPGHo0 +YH1fo+hWzW5l29aT91nq1Yq+MG6+iSaW7fJjjtHI84mlqkYZNet52/XuyANI +ovi9LuMC+idR6zIl9rW5HUU90w/mbxr/SMBP24yqNS6bv4DT17359cLuYAEX +CVg1+331CJpbb+b0P2peps/LH83deiOKVtSIXNbxlht9MuD/rd9iRj+A/3yz +ZP5blyN0Y0Ahx/7Bx6hruZzPyp26RdN6+yf0anSbJlU8c6niPC/6cjPvnZut +rXbOVMef0z0C6Xul+RWPjbTqMZNzd0p9HUp/3WjVo+nAMMpZy2Fc41UvyH+9 +z+xliS+oyffdne/ljqEhVS93G9cqhl4cPJi3cH8zBT1rdWbIGjOtyt1h6oVn +cdTPsfrkHIdkifrkyTO/1UpIoAI7NmYOKJFIi7fd3tqnXjI5XA/a8X5UMhVw +zlZ5zvxUavS83E9lHFPp3GrHlQXfpZFz/9xJ3m6yRL2KJw4MT1zs1gN+WDkm +zNw/nVK7fnq+bnU6Ra6O8Fg5ZietX/mX29phm8W5PGg7Iq8pYrqAf2t58NfT +eY9Qx3b/XQ94+l8/a/gNfQLneq5E+SumP66Idvfcd9/60PuW9N8adOeT513A +kZXHRTuc84I+HmVqlw8RJeobdNHpScSLjXXy+D3qu2Rv45HN4TpVDJpzNqiI +M13/OWnmz6WeUpUtK8dv6feE8hZfGzn0cACdGdgvtEBLWaK+yk8ls56sb9Vj +wuK/DH4aQg8zTbjR5q2JHMJ7XdvnbjLwJM7AG1mifsGU9la8SKKBXWpY8SSJ +Cmp4kUqpGp6kGHiRZuBJmtgH7Av2DfWcb3042/7LrA23xfOM2cV/Okc9rbNb +HX1GlKgf69ooe48xrtR8ya4345vdEyXqz/Ud3DtyjTfF+6W36+T2UJSo1+nH +l6Zo9OMnxo1seGzMT9ciBDxu+LK4P6e+MOgihvprdBJDc9+6WNcZT6f7B1vX +HU/N55e30kEi5SiZQReJ9PhgxkyTaV+rjP1NphHuGftooTqjM/bVIvrHuoEX +g3LU/2De6C+en5o57eTmHl6U+OTdzcJ5A2hVXrcrD874ixL1K7X5pRh0nEJF +622ynk8axT6bYT0fCxXX4HiK1+A4UaL+wdKJefZ4XaKM2mczLogS9Y7avrlR +nLaPrvTDrNPuD448osBKt75mjfQWJeqxnjGLW51q/M6HErR5RtBKbd7hVEwb +10Rx2jxiRIn6J9r+JdJ+bf9kiXrID+AP5ObIDxPMd5/BnxROzxrO9TlpHc+j +XuTxh9MvGHJZ/o5SydVbmqR9Pif0oGczHwZvsuKP66WlLrvivIUeBj1oU9SW +Rx4rvA35GE7zhp9flLJA/h6PPr7Uh4r90WFfLStezNfaSf0Rfo5c5p7ryyTE +CT38SUD5PvtWy/iR3p9F7CP2tdnCA5MarwqjAy38pi1LDBPr1eV6GJ1Kjj05 +rLj8virq0Q71aKfvk+3v2mDev2v4m0I1NPyVJeo7ai+mkFmTt1b9bGW0lV+n +0OSkDH6dQq/iM0oLua7OqJcl6hFHmHv3hw/vD1poiIbHFlqg4bX8/sjbljdi +cyy/LM6jxTbvkYOy+oj9P/Dj7jJt65nE/vedPSPgQu4koZcfOkUOjaz08ubv +nC/TW8j7/6hX9Xd/0e5NGafZ5hL4nouMe+vjxRt4FUAlvPYXafY0gDxe+nkt +Oizvc2wx3qut6S/xFP3+2OuXI2VcoY82zxRy0saVcdCT6zfV6mPlI7Havlps +4p7NLwbfnW3lKxUfDz0Q1i1Q8A3EOXT8Sya3X6tb9SLb/OdTWv+pxj7JfOha +Xg/O3QgLFPoN6MNDows3oafZ0/N0vT+IzA26nx5WPNhG71t/+s/7iw6HCPv1 +wquvSV71ZR6Vrt9x/4KZbmr6YCxt+iO8Zp+3Mt+z/IbK1n2Q/gbYDTo+pdBE +bT4WyqHRm0XwdeyXt1+PhVXXHxJ6iF5up5T9m1t06bNHxAP0cWSJ+oSx/WoV +tq7v6iyn6rvWTRewT76b+Rc/2SDge27Xyqx33EWuRn0iq0c7VV9yEu0mdWrT +P9D9mmj3/Z85JX98e52mZzt+JOnQeVHfYcIvxVa2PCPemzPon+bLR9rmJfo3 +35qvgKevKFGPc8M57jvy0wif17Z5iu9XVGo4eKAsUb/ibinP69ZxP0JfNuB5 +v6W+6/btBY0y9h/1Jm08mad41fCD6HaJLFEPPABe7DRdt56zbd5ih8BrprvP +ZIn69T61js4ZdsPoz5myDi7z6nzKTeN9F1GPdvDPNN038WIHPw/yvuvUdmIp +L6OdvLeR/8OtvT373afB66NMUXOfCv9AkT4h6z+3fmaTx4h2Adr+hwo/Puhi +tnZuodQ7X5ZizZ7a5oGDbvZq5/PcJh8R9aAj0NVmjX5kviGe6/ZTNE3bWzXw +Qm7b/ELUT9HKBIOeZX4g6LC9tt8yXxDP/9HOKYEq/5h5Q5mEJJqg7UMSBX/4 +NstcQvpDUY92N7TzlvmA47V1SH8p6tGu+687Lo6bb5v/h/rR1/69PGru9paZ +pr3V6Ax0AzpKZHQEuktkdIf3PMd3etBj0gOBzyd39LzcY6Or5AuhYw/+kXBX +wLWbDD4VZtVbzMcaDe+8M1KUqF/7y/L8/1SMEu1jjOcYH+OcLnfVIWuou4CP +GvoiYMwL/GSnoXfDn6TrH1JvgRyFf8lVkxtSj+H5MPr7Ul/R5WEarTzad3mR +VTJfbJKhb9R6vLbR4IEyPvjakKuQo5Cr6BfjoF+Mg32wt8+Qf30NuXrCkKMd +DLkK+Qe5CjkKuQq+eyhh6/nSD6TeAT3k+bSFe6adc6cuocU2hsZJuQg5GW7I +xZF7Ck50OmfVh4t+29zw2yOq8KXst5z0iL4/X221yyLIeWt/q50WYegZMn9m +q+Hv0PfHJPQaNX8mic5o65J6jviux4VzP6d7WPVS89yKx0aGG+tKMdaZQiZD +T2tv7MckQz4+1vRPC80x9DDsR0PNvkmhQpp9I0vUdz6SoZdbqHKLDD1dlqgv +Z+gnwMvahn4BGHoT9C/oTZ6GHgU9ht/jcjX0Gugx/F4X9Bovzd6NN+zdeOo2 +fEuW43fjKcz36bjzW+KpjqGXAS//7eM+O8xaP6jL0v3VRsQL/6Sjpi/70wjP +OlsWW0v3lWN2Plog/dA4R/SLcVoY+x5unIOPsc/QS0r+VmFw5iFHW8y+6Vcn +rO88WpnwJI+L72ja1PBO4Lyyy6jV0ck/piUupapPY9ts6LZRxDlGa3SbTnk0 +euH5Cunkq42TLt5DP6hHO5xDv/xD/DJPDhP09a5Qs0VTQ58Lu+lty68FT0w8 +TQcSui9dEnXG8KfK/IE8Hp1Lv190l0aWmNo3tuk9EQdYcOjbWv9GtwWMdjzv +AO/B7nqq2WMPaUG5oTN+cIP/+aHgI+ArsKeeauuKo3ka/uL3YWSp438cPX4z +yfJ7yDExf6wL60Q91rk65timz60fiPExL/V+opxnfW1+Mk4MfqvPL8aYn228 +f2Xbz1a5lmjYCYmG3ZBIo35zHebzWsb1USY0G5viVT+UxuZ8UGPnO1eKWzus +3Nc6skQ9+AD4AvYJ+4b9wb5hn1AP/MixqPHaqZ19bej4Tbad6RWmP7PbrnXR +dNdKL0Jt8Aww6IrH17GP8HuDL+vrv0r18oRTmwJXqMTqbjn7FpHx9UEnnA7d +zn+FHh2LWrVxuYyvox3eQz384rBn9PrHdLZGE6cOfj50aHzarp79ZHyd5jrE +ZLHWz/+3adCkXLI92uE91MNvzePiq7TzNpG7xsdk/RnNr2SieZqfSdajHd5D +PfzckAuIi7fUzjHJOFdZP1Kz25MMf5SsRzu8h/pW+es0Wz7SNp6Oer29xGfg +Oc9rAd6na3ItkTYb+A28Bx0A70EH+nPJ93V5IOPtAwb8/Ivl1hERPws3ytwe +G7vsGLdTvId+8B766a/JCdv4uY4XnjRKk+Myfh7/sVB01Fwvdp/7Pr29PeRz +8DtPoz/beHkJbbxoQ7+xjZfr+5ZAxTV5KOPlkAOQC9BLQA/QM6B3QG+AHgE9 +AfgBvg+5Mf/Qzd+b9Dwh7F/wP/DJOht/qT7jwAOj3kvwO/BFHf9ibPIqgBe6 +/iLj4zh34MG1dRlyNJwm38uQq7JEPfygsNcXXesw80s2TyGnHj2PCtpZ7r7Q +AznfQbtfl6T4VOrx3EYuddL0lDiqpOktcTQ93Nzfsfo5mvJ83ercHS5SjtLL +x2/pZ5VH+1Nm/lzqEXXR2scYek4M/a35qRJpqOa3ShT9oF/Mh/NJ6EXAu+Ia +fsh48QHNLxUi8A54+KX8vdwlszlSjxnjWs0vf4GOPaxW4rLPPfKLXWTVS11p +e2oGX/Kmn5Zl8Clvut4nIx7gT5nKZMQD/OlIBn+JiaMlGfzlUhwd1uAYA46h +gRn84U4iNc7gDxsSWTxS+kcQN0HJ668ZdjTeQz8RhpxFu0/3KzTP+XVfS8Cw +cxF3xLkjDod26AdxGvirMK7azkWMj/7WGnE83u4K8Nxoj5L7ndEO4x4z7DHo +NXx/UK/ugw/bX3+79YD3HV1c6p+t/mLc8y9P1Pm2I1isC34avp/wI8Buhx0f +ZcQ90J9ej+99pokS9YjDIS6HOBzicqDDT0GFnrwqfoQyz9b9YomsHu2AN7DH +UaIe773oHvv2zqgrAt6yxX9e2QG3RHuce5ev5+tuqHdZtKs2c8mgQQuOi/GA +N2I8wy8DPxni34iLYz/hB8N+gY5hX8M/BT8Wj/PBz1XFiFcjjg2/lerHchF+ +KcT9EAecstPTqtd5UsSXEVY9T5aox3rgd0KcEHFDxAERF8T8/tX8eLJEfWct +/vycvmrxZ1miHnF6xO2PafHAaCMeKEvUN9HixtFUSIsjyxL12A/dnyRL1CNu +iTimjo8JBj7KEvXwK8HPhDgm4prwI8GvhLgm4pzA/49tt+2t5ShL1CPuiTgo +8A54mMDwEHgHPLSH14CB13jvye0sPiGRjwT+pWz9HB1y2020rx6Zo/Wvq2+L +cRHnRNxze2bfacsSg6jrtYOTGq+SJeq3dna/8uBMMIXteHuzsFX+wE8Bv8Vq +wz8Fv1U9w2/V+sQwr8xfX4h6tEM92tUySuG3MegGdERGezzX8xBijXMxixL1 +ej5CLDXW8CdW2Pmw+7FP2Df4bUV8XaFfL8mnjf3W/WPy/qSuX0m/IurRDnFY +xGXRDu8hLos4LdaZZpxjAjtHxMuR94M4LOKy4O8HNX0hgvE1V5E3pftLcG/N +YvhHcP/T1bBf3ESJer0MN+zNcMMeDRf1iLMivqjH9VLo3mo9DrjciOP1MeJ6 +mM8KTR+X80I94jaI4yAuqn4X2GLo73IdqEecB/4VxFGFn9KImyKOesiQp8Ie +NeSp4O/awgIo94p/8xfwlHlgqzQ/ZwAVa5DLSlf+tOB1ayud2bYDXgJPrxry +t7f/5KwbzsYLOgPdfS5z9mX90/F0ee2U70vnyvtEwFP1fDNlqpz1iFXP86Ct +k1pY9T4PgQdC7hvjYNyzmn2ZYtiX8l6X7gdLMfIZLEY+A+7FW4w4okXkKSFv +qaomR3zJ+cqTj1cOPBMl6pG3hDymbRqfscoVje+8MPi02eDbZpFnhLwj5Bkh +76iCl8OiCetm0r+7umx6+XIVtU39erply7VCX1im8fV0Gqrx+XRaoOFTuuHf +SRfvoR+8h37wHvrBe+hHt5/jDftZ5oEgLwR5H8gDQd4H8kCgx8E/jvgoYOCd +X7Om/Tr/FCHOHfl30OvE9/+N51UMGHJgd8ECRa9Ne0FZZpVeMHPRXQpv13dU ++5e3RYl66L1P31R1vZd+W8wDfvxk7XziyEs7nzjD3pP3NDa1LHSoVa8TFH7o ++LODE04LfR92pY4PD6hLjwbZe4x5KOxI2JXIC0GeiI4XfgaeyHsWq7X5+Bn4 +FGrgkyxFvTF/nQ5DqaXmp5D3YXT7XN4Px30Wx7M79s8ZdsngM97k9bDWLzPm +PxJ8DnwP7VeP6nTc2+ksfTHsxAxul2E3oh+0Ax8dMGDy2HUO9ww/oavgz6hH +O+ShIJ7wlzGf15p/4aGwQ2GXYp6YN/JSkKei58/EGPgYY6wfcb0Ygy8n0grD +js2p8c9Ew7+K/Gh/Y/3+Ag+AF8AD4AX2Fftcb2QpKx8IpyeH46x6p7y346r5 +9yWsn5Nsh/d4O2GXGXou6Acw6GfdqcK5rmWWdhP4KNoD5nwf/dgb5+Wl0JSd +X3xsxlHlRZhdOr+VXIBeVAoR7QMMOgcMvAcdwP5D3i7oAHSBOATiEjgvXV77 +08AzGX5ff3qbmOEHlueIdpADkAsvNT1FygXIachnyAXICf25vI8LuQx57Bzz +b72Y367R1ku1S1z2uSL0Wbd6lf3HDr4mStSjHd6DHxd+3RUFXVp+stJX/sKb +B9RIuUxnz4Y+LNTxorwvr9lBjylcs4vkvSfdP/dYlKhHO7wHvy78vP3On7xU +cd4jKlWnwJ2brX3oUdFK6XmKyXvyut1iooKafJLxct3fJ0vUox3eg58Xft/a +mrwwGfIC/jt5Pz5Fo7skgw6TDDpNMuJKskQ92uE9+H3hB9bz7xKNfMAkGqHp +S/J+PehEx6dAoedA74EeBH0H7fAe8tx1/iDlJuToaW19+I5ovKEHxBh6gfQr +ws+4QNMLEumQpidIvyL8jLD3dH1G3s/S9cxU2tw/4szAfnuoWslMeYuvPSRK +1EN+DRhweVtGXtCoEjWqZuQBQU9AvxgH/WKc+hrfCqSnGh8LECXqD2v6ZwA1 +1/RPWaK+nhb3CLC5/6XHSQKFXgg98aWmb8cb+rYsUd9M88PK++koGzTw2TT0 +UDwd1+ylWMOeliXqwd/PaucUa+BLsoEvKaJE/T7tHOR9/tkaflvolIbfskS9 +7ue3GH5hixE/kffXoNdCz60ztogWd3+n+TvdDf/Gfbqh+Te8RIl66Bstei/p +kJG3o9s38n7bMW2d0ca6ZYl64J++/mgjDiPz04Zo+mICLdb0RVmiHvip2yEJ +RhxE5sVc0+zrEMO+lqWoN/QWd00Ohhh8N9ngw7JEvS7Pkw15LkvU6/EHed8O +pR7/TzbybFPpgKY3yBL1Mdo5p1IR7dwtokT9fu38LfRFm3eqKIdp608lxLlL +G3Fv8O1Wz57X3n/SiY7+EmK1L65SkSY/WO0LJ1GiHny3nqY/+tBoLe/7MR0g +H6ue6SNK1EMOQt5BDkIugq/q/MVEbzS6MZGbRkeyRD34os5vkgz9P8nQ/2WJ +esTpEbeH3IIcw7qxD5AzkDtYJ9YNuQA5gXljHeDj4OuYJ+adgSUZ904ysCbj +HkoJbbwH1Fcbz4sWavw9jEpo/D2URrnr90jqjdbvlejyHd/VRR55ouHXSBB6 +MfRf6K3QY6HnQZ+DXwF6NvLskXePvHrk2R81/OyfFH+3p7CLAMMuan5jV/vp +Qe7CLsofvilbxd5eNvEi6GWod1xapNGLKxGUQc0Zdk3GrDLsHNhJsJt0PHto +4N0DA09iDLyJMfhdIs3R8CKR5X3HiTx05Bchz1yXN49EnhbiqcjLQrwUee/I +n8J6uJ4KP4fOv+T9RPDp4Vo/kGsWeqXpgRZ6qeW1hAi/OO6VwS+l46sH9dfw +x12UqM+lnV8ctdDOT5ao1/0K8v4iStRn7Nro3acoYxfdL58VJerr5dlZ6Hg1 +5PGfESXq01Knnw0qcpcWpnXwyGa1s1CiXo/z4js+d0WJejctn+IhrdXyKWSJ ++oOaPJHfO0CJ+tzaOmOopbZuWaJePw95n1LPj0808EiWqNf9Y/K+JfJWcM8B +diXsTOSp4F4D7Ank/YOOQde4p6zD8nsNunxIpKqUfmz8dyfhfxr++6YPb39y +F/Hopd0mrGhx3EM8d/7xSNdaSfI7Sj3Kf3/Y8PwlgT8Fj/gtbJUpScCHcozZ +FtBDfq/50tV32XJ1jxBxMYwTmmNZTNchT0S70hXTk67le0zFmsXsn55H/s5W +m7POvYruShcw/IpT/+nte/prCNV1KN0xc1753V70X3byjKy5b0aI/odnHb+1 +8soIah5Wu3/rcOQrRtHa/C0OXlklf0c9/du1TM/7WwSMdZ8NC3+TqUisuAfc +9oNbcL3r8vvHtyp1cd23Tv7u7oYxgz4fsdoDNPa89S9d0Gu/Bncmj3sZJb4v +gvfb7Jw2fHxj+f3iI9Hne1XbIn831/vx1JoLf5PfQ149sEChfpvld80OOlUd +6fFWfp9sf+abK3e+t4j57C2WfdidUPlds07r9lWv2ySN3MJihllqutOrzQuq +O+dzEiXqTfe2h5myJ1GmiMyBf/i70eEK2TsFjbHQ2Gar3+T+6krZS3Uul69n +BDVcVGHUuFo+VH/vtTrj9yfScv/L03N19aY7v4f2oIIRNNv7StbzqX7UYFSn +vQ/OpdP7+CDPKw5+NOevD6eO1PShnwtdcXPsEUEnvle9/MTiR5Zt3T6NKBRB +tVbt/eda2RRa2u9+z6tPwmlt4v0JY6znd+xd4JiUr1E0d2W5jQ3+sNDBJ5cu +LfwQQ48+D6vkeDudLB1ednrbK1a0w3tbqnkfnfE1hq5M/93LZUu8WBfWiXlj +HRgX88C6sQ8YF/PAurBOzAPzAj79fnXRqw8X0qj4wY2ZhvS9zOLzDqL+/Kwx +2V6MdBPyCiXqd/3wvczJEdAvvKj0/m7tny7yYt/x9hLtVgYG/bWgt0noxShR +D3zK1XugT+nKieT/uGa7vDWShB6MEvUrSvW8UuOr/D0VlKgPSW5dolINP5qY +f+3ZTjMDyP1U6+haNeJpQdFSu/dli6OOTb//WKdaIH3ofm3RLz96Ud5Z4W1O +5Q2k2OLdF1+OfUDub+q1zO9hta9G1TtXI88TmrGxbLl3USkUPT5wg++uJEq/ +WbXX10MRNvuD+gojXhUd8Up+rxP7Uc7bu0uuCRFU70WV7Mt2munnlVdXjat7 +i0YNebTWr5uZfD/3nBxq1TPar6jYqEQ7MxVsmad/4roHNP7cytD2k8yCryCu +2W/l7A3JEW6UaU+b3H7V5e/IX3+x4czaRHdxrs8iG3hsvu4j9Jw/lvzsGLfJ +9vugAesHh53vJH+3ZHdW87pfCidZ6TirT9cmTynx69m/d3fYRckFTl7bUzyI +bj8eUPjXVgeo+O+Zg4e/TqLXJffu33ZzL+25ur6r455AypVzY+c6/V1o8NLn +f9apYuUDW532hu7wFP2g38axz8cXL2CmP6/drr983VP6Ntq77q4vJrp1qsug +tiZf6nuj3KqUPol0MaO48ZSuvLo8ZvKfqdTeYfGXjWOfGc9T6UjFhNYuS33F +vDBPzAPzuvPPmUxNc3rR6aHzu9apHkhm49zzGXiws2nFNstemGhvj4+WF9MD +KNPnXaOLBSfQz+SaNLt1IG1rdMKU6mHFy6jOI6bmCqJLMyZss/ydQOfmvvvz +r3Kh9K7Uj2knnNPoQerC61kiQqnXr5cHzDxkpbsn83KvORRGT2a8ck0bkUy5 +O/xd6mFeq3z/lLfTg/Dt1CdsVPKMz2aqY+BFXQNPZnzL4dSupxflLN2sVC0r +nhQx8AJ4gn3DPmLfsI9YB9b1uu+R9Fefk6hlnGfTlRXM1G5knG+liCSqttDv +wI0IMx15nvlR2SOplNa588PsZ+LEvuMcsA/YF+wD9gX7gH1J0/+R1+LUB4tT +EwSeAG+wD9gXzAvzxLwwT+AR8Ap4ALwAHgAvsA6sa8axRy5ZzyTQrtSh0T1a +pNK2rgFNnBYn0pbvdy27CqeKc8M54txwjlgH1tWmesnFDV8m0bgZjg5/L0+j +NWW31dv8NJnuzNpR4oeBaRQycXPGH928lfEvnJxi1k7sPTaUOmT3/zzzfDj9 +WMn35nQrX+p99W2WH6x8CnwLfKz5x5Ons+8OEH7lctPK/Nu6SLywB1CiPrpE +r4ZDfw0Q+kvJ3Y1e3Z/pQfOrXU8renY5NekcPqJmuyAhF8AnwDd+OT74huvv +gYLfiO/f7v6lUz2/ezQpf5PjpTvJ78bV/5JnatwRi4Bbro3PUXiC5Hs382/s +c6aq/J0H8OvkSfPH/FBY/k5H9WFleh/e/pR25Gs5vGCK/B0I8P/j7u+qDd3i +T9PdZ0W/KZEqns/vunbYkET5/V3oIz0rX79QICCQjv+UcLnf3gShxzgbeRi+ +Xd7sK+oaQicbu37b0SNF+N1NA5pl3Tk2TfDvHSX3d7mYPUHktxTzcj3zsnKy +4J8Vlw5we7FTft8X4++eOO1s8RuST4Nvt/WocSuvS5LQzyp8f1X++6t09jsv +L8S4+85dn9p+TCr7nqMLOwcfajGkQrmwRfL7I/5/eFx0yZ4o9g37uHbRqytP +z6Wx7xpnyjS5dMP3j2rK7xZjX6DPdZ+2xWXsP8nkWHPFd88yN8V3Pf8bD3wo +e8G98RvOy3PGuSc4fJrT8p9o9nvAMWIfsS8aGYemCv4DfwjOGeeOc+29fHrO +5x/kueKc6zXM+GcW72Ofse/Y1+Rxi8vfr54u8myi/upddMtc+ftb46ZmzuaV +3Ycu+Xdo7pEULvzVG+pPDwjsHk9Z34Tc7f3VTNEb96/6qfEW9j2W7UJOQw5D +LkPPgN6B9YHuq2SOur1vXjxV2tZx43tHE9VxHlyu7F/x1P97Srs/vptodr0u +NZysesmPA7bdDrbqKct9gnxyxyVRYv6Yo8/8UmjDju3FioWmUNkbEaebV0yj +pcVarCxm5Xv5tH9p5LfwadzT08fp9bzVE3qXvEyWCi0/Thl2mvYPrnc0k9sl +cnyeu84dT3z/y5n2ly9S6OFyN0o9lzXia/RN6v938tS+Z9yo0d09nwuWvkH3 +T/pvnXn4Dh06t8vKMNzox9Dl1f58cId2bl3/U3gtN4qPutZr98lweht8fWP5 +B6G0ss3zm2vmhNFT/0xZS+0Pp5c5W7c82VT+Tgvu8eS8GfQm9EQKxWdr3j58 +czLV2zN84+Qr1nVdrni1zu5kmj7z58h3l+V9rZjzCzoXibHQ9YhPOVo+SaVM +U8r3ffrKQmPeB47r9TKVes/J3qd8ioU67Wl+cv31xwKPD171HHHWEkCPN/n3 +mV/lEZ0+9mHy51kmQZcrfqlefflvJuHP7fHJe7zv2iTBhwu0LjL3+IIkarTm +5H5Lnnhq3CtqbI22ScJ/Gx1y95/BeVPph4p9bjocTqSg0h3z+L61/V50+tVl +vUonJtLAkjW6bvZOocRWMyOcCiVT1PzbOR37pFFWj1513pqTaZPj5SXtmsjv +H33PnTJzTs402lavUfb9fVMp+xmHsNt3w6nG60bfsvUJEXgNPA/6scWUo4Fm +6tyo3L0n10/TtqnmOj73zXT+ThNL1oIXBd6DDl49q3R6ba0IgaeCDqoHTz6e +HC70SOiVc9/kfGC5EM/yvc20b3GecpOGxws9E3pnt531a02qGE+bK7a82KNH +HN1bXScyd6l42t/qwE33NXGUvcyy4if95O+oF73QOWZBkTRaq/GJC5QhdfPV +TqMs78sU73fujGiH99AO76Ed3gOdge5AZ6A78Js+h+ukV/QKF3QPPgA6Al2B +jkBXoAvQCegCdBLvlX52/ZVw4ccHXYBOyue7eOdUlxTaMaLWx/vbU2jazGoH +6+dOoV23b7ktOJhCwwKTJ00r94R2jmh/effZa/RnhxozaqU+Jpf9b8/7TLtB +K4OP9Ag9nkQjN+WrtqVQHB1aF7Z3z8EkKhabuWxQqzjyu5/ddWmfJKKjd2oP +zZEg+NXs/WOuN5sTQVvOr2t/92+z8BvN/5A12+kvVrjRwwZVI7dR2YUjP712 +jBD8Au1K39xm/Yugf2rtfB31LJymmbM83dUqmBzTs93o8jScDjqU29Z1YDBF +LyhiPZlw0o6pXBB5lg9fcCI6nAZ2qJz3UfUg0Q/6hZwFv2390D3p0gX5uxyQ +47DLfs2yLlPnORFiXThHnGvBAcsf7dwdSJvia89MWu5Cz3qfzFZvj4VuF35d +utCY27TQebz1L4JmT0mYMyXBixzLDBnbIiqdznh1/2VdW1+KzFDb26dQa+c3 +XwPnhdGmJ96hBzZa6KcjBSN9e8VQ+3FrzvhY0ml3n/j6KUvMoh3ewzgYF++h +H4yDcdEP+m2QqZLz6csBVGZK+cr3Wj+lVpd37Rl1IIBa5b6w6qzDMxp/qP2F +a0fChZyHHgO7sHDV4GkFupvEvYyNjW683ldO/t4c9FjotX2iErZlcg6nfdPz +RGwPD6EGrgfGvXkWQGu9fdLrNnhMv7tcs/5F0K4mE3c0mXiF3vZa6rv9QgT1 +yLvN9DXkGh1ZWPBW8aMR5HEscmTDI7foW4WMlURQp2L1Iy8+uk4ZWkD/Uu60 +MgMdVkXQnzG1W/zc0ZW2nPphfretETTQdGtIgZq36Wbmti3yHowgS/eeN+5M +vEdRY4b81XlHBMGPBnzAvf69FTMQbLOo9z85/1bJTFdo1h/rbpx9Ekh+e6ua +zja5QrkvfJuRf34SXc5SKiav5SqZcu84s9xKH9mSP4Y0zH6LnLvNXdAn0UIp +h3p8CAy8QktrmMYPf7Scmnd+MO/RbA9aHvS8j8OZQ5Q94PDkZtk9yKVO6b4l +16bQ/GFNjjcoEELjLYW7TqiWYMWDyO+OPz6nAp3fTGuU36qvVlvzsWfvF/TL +hvU9mvlbyOdiQOSw0tGiHd5DO7yHeWLemCfmjXExD8wb68A4GBf7jnPAvuMc +sO84B+w7zsHph2Jzy/UfQzcCM6++b5Z+QtAr9l/1A7tSyPH3u1d9diWvgU9v +tfxJfre0tk+XrP+cOULR7x92Gzr/MhVa0s2xsnk7vX6S4/HxSk60pkqr7/TM +i8799azyulE+5N3wxsGWKyJoWrnIYvVmudOqrSton5X+n+78Y+jypZ7CTwt7 +51TcIbcsZeXvDm8ucWZ1pZqpQn+uP8TxdJFw5JcmUVqeID+naWkivj++YDen +JSVlnm/CxaMLDk8y0/0cJfM/aOlO4b2WfdvhGU7bNzae2vl1MB2MGtR4ZKxZ +yCmsG/ugxyfc6Hnpa7Pu/XSXxhaenr5ji/ydrb8+3Vlzd4OZ5gSkt3o77DYt +zfr6lwpWfuC370XGG7Tr+b8dTX3SRP/IL57g2TNn53zHRT3aoR7tvIsdn1Cu +t4mWrlxSfmONGFoY9SG8oZU/vPx8Z/upP2OodWx4QO/qSfSuj/P6Oz8kUpu6 +zkFnfb3ocPGISQOsduDd4pV/GnEzQOTPTPJaX7N4aDj73cNwerN7ycfdS4Ko +3IbXbeZ1h7/cTNdLL3Tws+oT2/0TF629GkNum5uO31I0iQ50PNmu04pEml/4 +z/bryibR8GNZ9tT+NZFm14rq+uJ2uLgXFTL7j7OF9wSK/cK8MM9T5Ysus56h +2IcCF8MbPMwcRG/6bfyh7P0T1Gdy/5wbwgIpaneb72VqSb8p3kO/mvvSOs7R +4EbpTTumC72ocOffB4ytm06Rn7eNatI8iALWxefemzWd/m58P0/xDfK7KVvP +95qSLyyclo7e3KPu78lCX7r5283sA3+z6rde/9zxaBhDJQ+9bu5axCL0qO9f +nQuf+5ZK1//c/qhkuHW/EjJX65KSSpvPVqrYrZn87snBu4MfzbLu6+5RHYv8 +fDBV6KtO2RIGDd+fSl925z768l4cTcx6sInvxHTx/MfZv1r/0um2qeZdU814 +ylm11I2ObdJptPOBazvnWO2mOaenrElOE/SR7vhiRFJCGv3SOsuZhXkSxTqw +Lswb68A4mBf2DfuI55gXxsG40BOhN0JPhN644XXOUteWpAk77Hiu5+2uz0ij +XAknji9YuFv4ae5UPF671sKjNKhp4Bq3oUspsMztS5/2plGfwY5tPrdfQf/6 +dV/SaFeayKN7H5R28e3MAOrau/CtjWX9KOLj4km3ZwXQ9dN3y+av6kvbNf0s +gGYWqLK/2IlYajPseulBTeLpWLsax9udhf0YSvl+Pm/9C6e/s4y1/oVS60h/ +68jhNG9Ljn2Xa4RS8JbHD8bUjRf3/lL+/Rj/1HoOv++vMdrjQyyNKjm/wLhj +ZqFvldhWtWar38xCv5n/6unHRQPMdGp4XsdabzxpkraPZur7ekPVe7+5U96h +Xcv9NcRML19kqlepoydZLAnTjg2S363H/epTl37u3Wh0AJ3SHOZP6F/LvGoV +zzlSSbcOVs3hCa3pecJqsjtSkcav6+dsFERZFn91zNx0paCXyRlugK9PKEIT +JOupUI+3c52GPBX9oF/0g35BXwUa9J+z59ZjWtbvaq6s569Rv17Hip8s/4Tu +GHrtJEPPndh99F/bL9+hSpknHD++5bGYB+YFuQ45Dz5/aUqfRS3KBVLNPsUu +VfN0pxAnx6IP+gdS0FrXFuk/PaKKTi7949ICqGSNFj2GTUmnEb7+HydODiDN +jLDCy6zSccaUAPI3Nfp++LBJ6lea/8VEEYZe+8666sg9Jsrf7H1YNs8wWvet +10CfhWn6+xfCqfqrzVePrEmmPY87Vvq7tfwdsC1rCrnf6ijPTZzjhKrjWo5/ +RE2PRbQqUUv6j87FbSrYw2q3Dvgl2hQZG0HPxmbZdWOlib6Eet09NOgFeVd1 +S3KfZ6J+l45eL5YjkrJtaf2L+3QTPadPq6KfJdHUse1LZCsZS83/OhKQvbmF +3DWENtHA7N/XNWtgIa+Ya++LJJlo+ZS8hzs8TqWVWhlLH+ulhVTdmU41Shzv +UflrLI2ZN71c89Xp5Nuv2saiVvvi+uUrwxaUTidnrUwQ68S6wR+OO1aYPs+S +RI/yFmg0a46JBrVY/jKwdLKYF+YJ/lC5kcfDZ2uSaPDKVtf+sNo1i548C7t4 +XNo1Bw07p8W9P29MsNrlxeeE7ShvtdOxLqwT68I6sS6sE/znc+R51yY1Usmj +Tu6mk4smUJG1o491+y2V6ldutmed1a7PG35yZhurnQ88Ad4AT4A3wJO+SycG +FD0v8QB4gX3EvmIfsa/YR+wr9JCfNnaaHzw1jdKKZhg+SZQ/+Ui+5CNp1Crf +Dv84czKVvJ/pwgGrvIdeBT0rdmPtrPtPyN93h50Ju3P+lyZRo612Zr8rx2+V +tNqdbbbn7z7xSgr9+z05c8hm6YeBX0YbN1p+j+542ZoFOoVbaEngnpQvnS3U +8lNyV/dXFno93itTvSfSLwM/DfyJiDNO0fQdH3GfXo3rOwm5DTkOuQ05DrsO +dl7AQteYXy9Yz7/MowFeJ0IoZuuuV0dPmejMzXXrd48PFXF22JGe/3Rcvz1T +Aq2vvqFI1cyRAi+Bp9ALP/ftMOTm2VghtyHHedwfchtyHHIbchxyGXKa5ylA +r4CeAb0Cegb8aMgLgByHXIcch1yH3IYc7zAlrk+DIHfalCnXfs+PPrSuwNRB +L1p40pz0racrefrI+8eb/nm7LSKApvX1d8/yOVzIjyGXsv1+KVsEFap52frn +T12tpzgnc4RRBtDCZy1Gd34VTvdHjXQMKxpILzyznb7zJpzCTgflu5QQQC9S +Tv51cHE8RWmliVY/3twpaZQVT/NV+/l1fzO9Nvxk0LcnXPjBNyWfvEfXrhLd +rns8nAI7re3V3xJK+zdXvP/sXoqgE9wT8xky7d3uhfhdIQu1O72i+ekVqUIP +gF4APQB6AfwU8Fvs969+0L96EOW8EJ3rQnQ4Fdk1aPWZVsHUNCrp7Otn0s8B +v0erwbWnblxqpjdeOX769Hs8BT0blz9vllga//bC0fpWfS3D2h8Zd0n8TsGK +8pnvR5a5THvGdC9jWn6cfKdmCnLbfomah0yu37DLWap57eiUbnXcxHcLrrcL +O/dhkBs5Fw9xWBHoQlcblr31Z0Mfw7/0gBLHFP1UcJgPnXFtuKdQqhf92vR5 +RIEWPjRr2ZRMQ548oJX7Kg7pX8SHXs8OfVDX5yFVaFpw3blqPnRr8dC+uTo+ +pNcZ824RIfT7jVfHZHPvEkHzXJatOXLdh/Yf9Z37W+sIennp75PlfntC+Z0P +PTtXN4ImfRuVmLLiGf1Zp0rPM00jqGdq1/X/VnhKyztZ7v3qGS/8qxEZbDQ8 +nsK8xs8ZmTmaqs4rvqb/g3j6p9/Tt3UXR9PWnlOvOl61tp9xo5Pv12g6srDm +3KOu8dSsRbuxRc9H08c7RbcPumimTcPWda4x8Co1Pdrp4I/nzeRRqsjphOir +1Khf6sD1w+OF3LmRPmrV7TpOVKPPueEro7YJvgK//rLmliLx/8Cvv1zoMdBr +EHfCe1l2ralSZ9pxSnMN/TfeX36/f+uS2L0D11rt6U0z3F1PWOhz5+7LYmJv +ibgI4izDR9e+8cnHIvS7olUyGHEqna40LNs6Dx9hPyOud7JPzpV1E9zowogZ +B3uNknE8xPUQJ4G/K/OgnHXXW+3SOR4H2239//IMtp25MbO5FUYcBnyk2+G3 +XQ+/tdo3A0dXHTjaLOIm/PfVEecCHwRf/JrnXQnzlXialOi4+u4kGddCnOt5 +78C+AV8TqXvNDa4Xrso4FeJWmB/ywrCP2NfbawdUSndJlL/XMbB6n6dHEmn8 +7w93LUp+SF0jUxos+ZQqnr/JMrV1ZGwqfe3fq5x71Yd0c+MCn9PXU2nx6cfU +NPQRPbpcxudyGfm7TtMv161VtXgEOe0e/aHyQj/aWfZkneuUKPzhxdMPWC36 +RGoY2ezexUm+5HPrytz5ORLpw4UYh/pN/UW7H61UM7h2BA1OHVp51tNkobct +Xr/tyLEbydT1VOf1YTsj6dILx3TnU8l0d1PzjhHtoig2etCgAvvi5fdybt8t +tnir1T6YWet1o28xFNPjfmj6lniiL4+7D85iEvr33sxjfc/HSL9BxXO/94/a +bBb2WeUBISNHXIgX+4J9xHyxTswT80Z77CvsKthZsKtgZ0FuQ44LO8rYX9hR +sKtgR8GuAp/JMrrfxIc3pZ8Tfk/4OeH3/Gvcy8N7VsRSRnbHrOYSPxFnulrE +pUv23fI7x2XDzu2O3xZO77eUmnnwu/ydMrRDPdod/cN3csODZkpNedm276Ab +FPw8Xy+vxmYRL1mYffBJzxZmeuLrN8t76EMqFjnxp/QFZko78LJmTCNXmtR6 +6cHpM83Cz9NgbtGwVD93Kjx1wfmOk49Tbt9a35r9407vckTVHNX2LF073/9C +0nkf+krz3y/096R3llKNzFt9qN/xnEUv7rhPLoUCpk398EScO/brcXpVl7aR +Z2hyjbxWyyNJPJ/WzK3B6wrJlGXrO4+6JWeRJk6vJtHAvm8yp250pN0nIoMu +XrO2H5w87OsQR3pvtWbc3yWSn3dGYNeDhi2OnPHimVXfLecxbN/a+zSv6ivH +36x6nmWn58XR2zyp0qKmaV2zmQUe7Q0ePTywrJmiftn7rM35x5ReP9Pit+9M +dLvUlJDDg/2o3Y59+UeOTyRL1tCSv+R+QpXqzfVoPSpVvO9woO22DfVSaZvP +qT/PrPKjw71THuV9ahJ+gyHFr/tlijTRjjHOJ7ZOCKCUD2+v3XczUdb7K6bW +TA6i2CnPpte36vsPXxwyj14fRPMHNir08kmCeP900pp9i08nUK62KSmTagXT ++YxwjV+KeB6V+vTakvcpdHBr7s7OQwPoTYY59jqFXh/KYMgBtNfnW/1xe1Ko +SYebOQuuDqbVQc9med5NoUWrBw4aa7U/IRchJxe2bZn3j1XPaHdIbtPEehG0 +tHrORQ/HJgi7YNWDlvMer0igs5GjvAIDQqhrTIaikUBXntWp0GRnOMVt2bw1 +b98EOhW8/otfwXCKHzB0X7mANBE/+qlwu24bzqeJ/g4X3fTD32+SqefHOutq +jX5OywucORybnEz3Ntf+t8nl5zTm8/Iv/5RJE3Qe+rzrmI3t0ujKzR1eJVY9 +J+dL05ctap1GofXadtp96jkVD3v6vp/ZQicz1K5TUTQuIx8pZxqN2JJh+EYa ++Q/b6IuWj2SmRo4ZhulV3f65IPECeAK8AJ4AL4AnOAecO84Z545zxrnjnHHu +2IeZk09nrntI6v2wA6D3ww6A3Q47HnY77PiOExxGTUpLEvoD9BToLXV2nPxr +rFUv2TdlWARZ9RTQDegIdAM6At6DDrBe4CnwEniK9QBvgCfAG+AJ8AZ4ArwR +/hmDL4APgC+AD4AvgA+ALwCPgFfAI+AV+AD4gjhvg65Bx6BrrBd0BzoD3YHO +QHegM9Ad6Ax0BzwGXgOPgdfAY+A18Bh4DTwGXkMPGz6z4sRu992oyd+jhjnG +3KQ2P7YPKLfCjRoaeRDIiwAddvrzqvUvnN4YeQ8JRh5Ero6WaY79Asjd6eHP +Jev6C7sJfjj43eCHezEq0HvxXfy+334R90AcpGjd3Xv/DbhMidEnPnzbs5f6 +/lR20t+jfKj2i/UdGz7zot5f97fqZHaio8V/n9S4wxjqeMa0e/YJJ3r39eOj +pk8W078//v3Dz509hL+0ad+UulnmeJDnlKndpnouE3GslUZc69jZf4eOrOxB +ZQZcS8hSeq/II4f+Cz0UeinON6zYrjsTet2mrENzRVRfECjiHfOe/lCxLyXR +uD1T911rf5scM9SUNalCjsHO+ykjbbN4gOgH/aIf9Iu8eei7yGMHPNLh3o6g +12mUK+TYtFa5QoQ9i3sEg3+Yc2JnR19a5vS+ccVq8p4A7g0gjx7+Adidl9fv +bePb+7nQb5GH31bLF4wXv9+GPHnkWW0/eKjtrurJtEMrTcJOfVs/ZYnPyhjK +3qb47M2ULPS/VJejqalnTlPvNoVHeQTIvA3kcYR+8O23bPBtKlV+QY16G8xi +HNxLSPPvObrAbzGUv7bTwfRT8l4C7ilAT4fejjyucdVnZ62TFkeluj0NLL40 +VXwPF/o57mlA74YefqJKrj1n3nmLfA/oydCboSdDbz4S/bnvr/39KdvwwdE7 +syUK+mjz8NewUckJwk6A3YC8r6U/dLH+JVLNf78G7/VJE+PhnHCPo6j7rY7v +LKHk+vTG4Al95T0PkU9j0O/1Hzd7zrDC0Muhp0Mvh56O9eNeSuO9k4r8stlT ++L9g58HuE/zEsPNgh8AugR0CuwR2H+xA0AXo5A+NT8Xo/sP9FmFHT36+fmGP +6xZxbjhHnBvO8Wr5kZ8zOz8jy4+hi5da0qmplQtH5QyhDKl38rXUK6BnwA6E +XYh9xzlg33EOsKthZ8OOhl0NvRZ6LvRa6LnIK0CeAda36MqooWN/M1HfFk2y +FyweTbEjluxpPNJEnQJjh3svi6ape/8ddHywFa+vTnH2KhtDfbJ8r/Kyt4lK +Zn0aceZINK2OXNl11SCTyNMqcyR8efa2SZQcfPTXVjkS6O/PyaZRfZLoVJ6R +3tu6J9CClg1+v94piX5ZUDN87scEylfi45RSNZNoV8kSY3uvTqAf3j31q9FK +/g5p05AGRZPDUqiv5ldOEvIronmtdkcLWe29YuaLf3vL70bdrOHbvXdJq730 +vMqm2qtS6Ou3bdHn66dRtWGt8+3om0q7mr5bOMUqjwJ/u2tZs9+Jpq/fHPu6 +vDu9bNVr2riP1+jixixTK4S6Ub23p32z7HATv/PdfXLHul3Pu9HNimVXRKRe +F34g+IXg54HfB34e+H2gbyCPBPwJfjX40eBXgx8NfrWTtU6PTBzzWPDpmhlq +ULXH1E7LP3GjigF/5K3S4TF1KvOx/l/BrpTPrV5k303W5z5votPO3aFNz28+ +PLjhMe2/Or5qA887VLFg+1/+zftY3i/MiBv9aRL89VHiX4Mdx5ho41zn6a8f +RVHFt437/TzRRIF5rjWdWTqKnI9tHj9shlU+hLUt0TNnJJ270WVEzikmWtLx +eZnj2yLp9+aftvuNkves3I/6rXvXD/IkWuAR8KpckHfvQdbn7csNnXUkLprC +qo71PGzFq8ndzg/0tOLZgCw9qrr2N9HrLaGV/Z9F0/zvkSnjpyUJOhyToSaP +TqK9TXwnZj0YT++PXKn9elwSUcPQOSvXx1Px8j0av1ySRG67K570ssRRrjI7 +u9z5Td7bSv3pWd9NjYF3Ei+Bp97ls8dRwyRKm7An57r7CRQQk+VgRyue/pG9 +R91JVrz9ufatZoFNk2hjm4qL9jokkMOSjm9b1zbTp7DHrUP+fET5YxIqbqlr +pjlJLerWL/uI+kWOfvWyk1n4ASAnITed8s/bdKJCBFVIqfN5aYivkDOQOwdO +/rJygkM89S9SuEXwohgKOdzrQL2y8MfFUYPDX8qXrBRPf9evONGxU9z/6+pa +wKHM3rguq6KLskgoK7u6kS3aSvXaLpQuSpt1aa2itf+u/7KtLG1tF2tVqJWV +KJGWZNddUuRSMchmFGbEmNGYMZdkuwjZ/0fz++bZ/zye533mON855zvnzPf+ +3vf9veejPZ5Oi2YYiOndkd022Zef0ZfB95g/Puv/KRz68GnsxMFPJtk5Jnyb +VsInyaLhqzzH/UHVFx/fdq/h08x1ofF2DslU0We1/XwFn3ZF+CSXRqcQ94SV +j6O5km3PbTKn7pGWkmpLN0aHu2awuOiBk/3LsUeVZOz/am6jZwj7Hkpch3Zw +HdqxnDOU0MDio4m2m3RtNzWQQlaklBXxqOnkTl39Se3sfngv22mCYdevI5eL +qTy11X9tHI8Wu5oyJmQT+/6fjI4tSQMM/jVPsdMOXsPgm+oT8QnnZHSo12ua +Rlcn/b5h/gdrEmXqc/oHP1wFuTUO9EadVJCs3/FMwUMG75rwG6asVtCJb/b0 ++/AUVPiNzS+pTgoKnd1VLGlS0Ee386/+PqaG1Vt7OZr5WU41dM4h9Z+DH2XT +qqHfbTWFLez24d0ooEnFXx83PSJkz5+q3hFkl3RSSM6L6ixzxMw6vZJXNh8X +klWKU26jcTMblxxQxSndPhd28YKE9Oex8rbcN8103rDp25tXpGzcKjRl218R +DN58L5/ReKvA3NcC8Nse067NfjbdEmZeraYm1lyuZ3EEcAX0HPQecABwAfQo +9CqeW+8G7dlgERsHQlwIuBU4FjgOuA5+ofuaVrxCdz77noab1/oXfLVcSB30 +Wbb5MvV7pSBRHiN57pu7pJ6N75c27A5I6uey7Q7BWQc5q8d+m3LDrHaCnNXD +DZqX846FK1m9VFFpNXHrZiUb7wv/7ePj8YnlNMErX6vtIJ8GWRuG/SJ235fv +01x2IqeNpDdjttc4COmlq2Gv7XEJGSakTT2iJ2X3hcn49RedbzC/qwUuB8e9 +Bu7PYf1w8MvhvO34z5oFtVky9rxtvRctWyY+V9D1ovDZr4WIM5VR7/hY65DX +MlpxpShwspGUuIOPkUVKMhKEMJapjGoz+caFNSL2d7jMPCA57CmfHT8kylEP +z5GVIpds06/gNxXQuqgkcfs67LcOdhzjArZ5LTqs5qFCr0GPQa9Bj0GvQS9B +T0EvQU9BL0FP4TkAPQG9AD0BvQA9gXnBPGFeME8D8YME5IfsPDCLayEeDT+u +kPZEDg4I7zdW7zPsO9TDddhH2FdYR6wr1hHrivnDuo4widw68YCYbXconPSW +R/JB2uEpLiEv6P/zVPAduBo4G3kwsOOw72F3IC8F/0eeDOw65Ikg7wS4H7gX +eTDAA4jXIK8FOBu4FDxT8LDQL/Ki0C/yntA/8lawX2A3Ig/r3/k7d4kXHWRu +MV2dr428J9hzyFtCf8ijgh0N3An7CHlQsGNh124Y0x1l6lxJX/aF5O5z49MO +CxOHxE/rKel0cFv05nsk4jboj9Kup/u//2k5Xr+CQjdmjSy2k5PvKFPBwdQO +ujuz9uNIWzkteWLN28fpYPPukIc3rseo72tzuUpKyHd01YzWY0qyL144MrpL +Sp8UaC7VD1JSX8SpjnkG6jw75N216vxqbLRTSS1DslMdb1jRvcB8H5/Ns0Te +pY/SY/kyiYiEWj35o2sSWN4zeNDIS8Z8gwcNXjR4zeA5g9cMnjN4zeA5g9cM +nnPgtv+u1V/Hpb8DHczu7awjv2t3Hv6wgkvLv5p9/dPMOrYc9VCOepFFhp9k +HMqkcLfOAruUBOrpdjpz4VImrTj8zXOhwSVKDxVe1Z0kJiPfC5OeVzxjJcqx +b7CPYFfDzobf4d/xcrUfAjx48OKTrc0MDg1U0JiQ3aWpHmqcg3MfYKfAbrnV +udFaPqyU/B9f8W4ckUNe/q8KbzaU0HptG63onlx6YZb/RtleQn7r8txzPHKp +88Xi3il7Sij2jX1gcvMtNm6NODbi1ohjAycBN4HHCl4reKzgteJ5CxwG3AUc +Bh4feH1bVibtdJ4nph/O2EbElLezPFjwYm3Ph8T1VXeSYjBglSKj6XaclRXn +5fRuXEXr0X4FpS5Y/l2iloK8B4kxYgU96BYcmP+2ig573555pb6UvGsXF9a9 +riLXSwl9se2lLO8CPIx6T7s7udwqlSwjYWqN40MJl2r+Sh8eGsCh4sr1rVuG +y9n3PbH8XxVPwnpWqu5fK5UsjvSNW33/F98Muvp8wI+z4AYrUV6ttWfvs1bm +uRRwKK3G6Sp1DvnZRaQcin9lUPvGs9sy/uYQ9WiUxVyqpOFLNdtXKThUcL0t +Nruiki1HPZSjHnAQcFH8l7q1YQzO8E6RWx8saCPDM/ayPOb/Id++cTv3to0t +Rz2Uo56NbfkIUx1mHa51/6fwmoTKohtfVWpLyfrAIOCXsOWoh3LU0z7lEfpW +xCe3sbZ2aZGHyVO/qHZHG2NPuIXE7jQOIQuXOz+bPeaTY1TM1+FGlyho1tr9 +FY18uuZl2rW0N4a9Du3gOrSD69AOrkM7sGNg18COgV0DOwZ2DewY2DXQk8O8 +IqOOSPjUqOI1gudYGls4s2JlPXnL260c35SRv0FOlre3kNq6d5ouMRDQ6uS5 +S+O9hMRL2t6RNl/tR4FfxShbw6THU0jGQ1JAetOXRpR/IaXAYWNHeL8UU5DK +T3JN5Td52itYvs1RSi1DsoN0Vby5chWP7ukBWrZps5zOC6a8KrLqYHlr4LE9 +0Oh51HBRST/u5YauCpDSoamiqS/8S6km+9agR4M2lWUt/mJ9GV22rpotYfBZ +jYrnD97/VbOo+xtOlVGxXOPRsWA+nW8z87AZzN+80/RgwvB21o7C7wF2FOwq +2E2wo2A3wY7inzoW2cfjsnpeZ8ZZN58O6FUptWmvl71rk9Gb66ZdN09JiRfg +ESOqht9HSrtGjejq/gLxfRHL+wEPCDwf8H7A8wHvZ9NzkWVNiYzSdIzr5i3r +ZJ/jhXPNu8v61Dwr8K7As2pW8a6Aw+7NUv5Tt1/NswLvCn4r+LHu5MYd+Ewm +owu7tTYo3aT04rS73pxanO/9hA5ufcD88VTyCaOnvvfV3Sqmxs7Y9OSjIroS +M51b5SomT7/mOTapIkos+MD7xrASyt5Qamlzq5jNY0Veq2u7tXdhvUwlpRRc +Z3G4zkLJ+pv26pXKXD9SUnPXIfd5jYz929929ME0JZ0YMfXIQoGM4nLu3l+j +jXwNdR4s8mKvhk47u1VPqZLy93bKZjGtMfYKcmaec+BdgYcFXhV4VuC5gfcG +nht4b+CxgdcGv95ulZ8vXKJb4mqppP9c/ilu3EUZNZ+dk9nUwCPH/B3++249 +pg3W8c49VnUUXVoSE7aZS7eTZDajyx/RaeXCD8O8ubTQ/XX6/cli9lys93ZL +KjXputQu+SODWlR5JOAb5A+tdxHpB3N9XnxYQse/1+zXZeY9rMbCMY5ZhzTj +Xya7DCum2lvrJydMLGHxY5KOx3bHjVyyt3ZIjr7xiNK130064MNl/Tbw48BP +A78NxoVxZurab/1urfq8WEiUG8i7Tr/8XEjfL3T7wHqUWqIc540HBL+y9KhW +UKDnRRfBBPV5zZAon1sRFdp6Vn2eHCTKI38wSW1g5LmH3wXt11BLlC/pPW1d +uTKD+Z7629GT6RTWvfYP+0YJzegVcn4aLaVV6QJj+VIubUnx7J3/tI5GleSU +rTbm0BMPnuc6AYda7KQSTjiPdkS4RrRY8kisc/unqgsKyls8q6yLoyD3LI1N +pCOkPD8v413M/YW6FFbXtjwjE4+wrABm/CM7XB/zWjmU73w7++Q0DhUmvhnz +M9Ov9ry8Zj1mHIlPas8MhMvobX7LfncvGd2d8+O8t0y7UVbzW6OZfjAujBPt +oh/cF+7zSWqoX9zfd+nHPRUdiyzVEuVFee/7aVL1i3HjPnCfuO//AXYabGw= + + "], {{{ + EdgeForm[], + GrayLevel[0.], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJw1U89LVGEUverI+N7Xe9ODalMgiZAuEowgW/Rr1aJiRndlJrhSJhLEXW2y +CXJV60bJjSn0YzPjQo1a1RBkCzeJUTQq9WfYOZw7MHfu993v/jj33PtOT0yP +PGg3swlIB6QRmfXAkEGqXWbLHbp3Qw9EssfQFyCLOPd06v1Gm9kQbEVIDfdd +6AVIPa8cjGcs72t5+Zf8XMzLv+H5fwLHcdT+An0Muhv2X6b6Nfe5marO30x5 +hj3nncTsXJDvp4LZZs7s/lGzjZx81nPCtejYKJVIGGqOmfmbwDsSCTf7I7YW +Zvp+NmEved3QJV6q7cpd8fwN1/Qh3t6ceGN/wXt8csRsLFbNf+jnK/Ql9Pcb +9lex/Ihh2Tl8lmk289A78PsO+w/oDxD8bBt/7zLlK+O8UlDsm0R8EcetVNh2 +Hd+Cn5l/HHXPBvH+DbIVCVPR74w/g/c+yMlIPNSdl9j3ouq9Ehvvs8h5OWhv +pjCPCvZmEroftlG8nYJ9D7Zmp2K3vBZrluEH+mwm0fxKzj93r+L7x3hyyt25 +C7+LsWLnkHso1izvxeKavBArd4t5/sD2MGhmV6FvJ9rlYZ8vay7Fmgdn8Qg+ +TZyfwmcwaOe4b+z1wPGz/vlEGOrAvw/7tVQ98sw50XfP/Zt+pr115268QP7n +QfMpI99S0CyInd8E8dN2PZF9HucTOL+M1POA7zB7uhLUF+dBrKzD74I8tnaY +NtadSxX3uiD+RhPl416yzvtMb/R5nCov94K5P/p3x++PHBEr+WYtcslZci85 +h9WCeOYbMTBuw33eJtqhQ9T6D0QdmG8= + "]], + PolygonBox[CompressedData[" +1:eJwtkssrRHEUx4+3O78711yxQU0mC9QoUqy8NjakZulZNmjEgh0bGmVWrD1i +I/LasCLW1LBgQUme5c/gczrqfus8v+d7zu/Wjs+mZvJFpBEUgu6oyLoT2fJE +zkCLs5jaTWAIu9mZnQKH2GlitwUid/jxcpHRiMgH/kmI7Ytkqdkg9wr/HH4X +fjv+NoNbo8ahvQM6MybyWSTyDXoCg9r38D1jn4Y2q5e+JLMeiPHJFzXn9E6A +BLwZ/CnsI+r2qN8sFVmlt5NZw1GbpRomY1abADfEuwPjUg2q5apM5ILDXIJr +7DXdnbptz270xj6LxFZUf4nII/Yu+zvmVYKDMrtFHCwH1vtOT8Yzjgg75Dzb +6Qd9C844lUtrVJNqUw2qZSkwLt1pH/8psNvUkT+mNhvarnoDvUUxWubha9NZ +4De02jPyffTuRKxGc6p5yLcdVHsNsQ/8KvIVpbbjIH6Ds9wLd+8PjCv3v0uH +szfWt9WZSWf/gL59HL/eGYf2VnvGPeZbTmeM4C/79m/p3aZjdvs86tPYf8eM +V6c= + "]]}]}, { + EdgeForm[], + GrayLevel[0.12873757694189414`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJw1lktMnVUUhQ9QuFz++/gvDtQ4UJOmdWRBUBNxUBkXS+nIBxSMtkVqcWR0 +ZCy0BSc28TXQUBIJpbV0gIVGjbVCY6kONI2mDK2JFkdMqkYH1fV1bQYn/7nn +7LMfa6+9933whdG+w/UppWtaDVq7W1IaL6V0pTmlc1o/6nBRAtOFlE5qfdKU +0qDWPq1ddSmViim1ad0lma+qKc3pbLWcUofe9ktmm34vSd9zWUovSe6odAzo +/Kbk9+v3t83+nWnfrn2P5Jcls0d2b8mfF4u+R1eX9k9qvRP+zIQPuX5/rPW3 +5PsqKV3QPmtN6X7JfCSZM3WOgVjQjz78QCc6iIm36GH/p/ZDESe2ft2S0iWt +E9q3tNqHHtlZr9kWNqcKvufteMH6iRH/wGp7nW11hf9vCpNeYb3abDsHi5bD +38U6x16RrR90Xtb3huw/VO+7Zdlr076k789ah4T3DsnsInbJ/ye/xhqFp3w4 +ou9WybYVnBu+7bHfE1gRBz7sLNg33iA3Ipnh3LoO6DuidUz7Q7llBwN/YhgK +rIaLjoU7fCFesF3SXWu98b+kuL/WeqTZ9zOB/9lmY71Qb9untV7W+kJYvZ3Z +xmKD8zRf5/z+ssWYvCqfJuTbK/p+lpsPTym+443WAce/z82Bp3XeojWpu8O5 +8SBGMDknLG9rn4RnZ7N9JHf4DT/h8xG9nZPduaq5zruD0tMn3bM6/0vP3xOm +85J/V9+Jms8+lWxjbj5eLVv2VMjDd3Anbnxhv3m+HFz6p9EYgc9e4bZD6wHd +X4y6o/5OV302VnEOtwaW+Iu99XrncLLBd7srzs13uX9zDu4rVXP+Nfn5b6Nj +oYZWc/txNTffkYGLM8Ef+EBObkReFqJ+kD1VdbxvVZw/auW+ZIyzeuN8ver3 +a1XbxSa8B4OVwOFAcHKyZnxGol7GCpZjTyzEwd0Z6ZqV3HzZfKDGbkWdopN3 +54vuQXAUWTBkT847Iu+l6HP4Sq6xjT/UbWfwBGwWQgZ76PqwZk693uj3Q7n3 +g7l/s0f+coN5C7/HK/aBfIIjGODDfPS7zR41HLVGTMQGt9qLrmt03yMfnsnc +R8GZGLC1Fjg3Rd3wlhqBd8QF927W3OvoeZz1xfkTqt19ZXPwYd0dU33+Jn87 +ZGegbF5Sc+gEZ74Tm74VzEvsnC277q9XzI+2iGsy5PGHOuHdaG6OwtXeiuWQ +hz/Mpeng3uPyob9sDMCEHrHJwxPBsY0mx3KHS0XnjhzerXefl4wpfWIp+hX6 +6e/YRPdjmfWjj3N0MjdOhsydPh1vmQPjMWvApjMzPqOy82jm2TkVvm/6xnyi +TleCz/CT2sXn9ej7xL5cNUfhbU9whC88mYp5jd43WtxDh2LeTcccZ+UxN9cq +5l53xXPpy5L7+s6Ys/T2oyXnfm/M5I2Y4+uK42KLa+WninPyTfB3R9TU+dz8 +vqbze4XDQOY5QT+/HD3993gD99+v+f/HBzXnYTbqER7vD/vwl/zCj23SWZf5 +/wT1yn8NMIfrC5H3Lvl4nLlbNJYbgfOU3nWX3QNWIl/ExXv24Pls5lrC/vPa +by/bj5TZNnZHYl5t9qLFyMV45JA9dXk7+gA9kh5H3uBTb9QtsaFvPeb9WPS0 +ftm6UDJnub8SMoNlx8b7P4rGF2y7I6fMw/8BlzxJbA== + "]], + PolygonBox[CompressedData[" +1:eJwtk8tvjGEUxs9MO6Mz38z3zYyFhQUSiViI3rDAgoUVWrVyqbbi0qbaEURY +CRU6NhItNmLZTnqZVauEtFVCxYLY1BKLXv4AhAV+J4/Fyfucy3vuZ8PJYktv +3Mz2QdXQQN5svMbsd8LsYhZBwewPeAqjQ6FZT86sH74EpeHrsZ+M688g+CE0 +VGX2BFkT+j5ofZVkI5HZdfhhAg05wV8mxiz4GzQIXuT/zhTxoP3YjiL7Yfoz +jP0D9JUaxfTY96Ax+F/kM09uxwJ0GbPWpNlpfGxOk0tGuAG7I+iPQ2fgT0HP +0K3wdkJdUAl/fQnF7AcX8TkSU83nwXvI6RGxX1PPBPwC/E+T7HOonnnvvpLv +APgEsZ4Soy2pGJ38KccUowv8kj9r+V/L/znwFvp9Dft5cq0Q/wI+SsS6hX03 +9nORbL1nryLVejRQLV7zDPWugjLw9fiIoWuCfwt+89+n+76Lj93Ee5dT7wL4 +NvB4XrY38buuIBu33YW/JXSbfCcC+fIeTqfVY+9tHXQglK3P0Gc55f3FvhHd +WWR3wGuy6nVHUr1pDaTzHn3nz+GUdmYRX73od6CvQ7aaPP7mtRve8zH89KB/ +jH4CWQH9bfhR+A/wzSnFnk2rF55DUNAuuy4Dfo791bRy8b7sxWcLsiAln46X +A9XmsuZQu/2R/N7Tr8ZAOXjsrV4D/xsCYa9jW6AaPPfalGZTzAj7jD6F2qVJ +6EWoGfgsrjCTDnA3suW4ZuKzSSL7Uq2dTIDP5bQbG7GZiUSOfcemI92Y31oZ +uuH9zOl2/eYvZdUD74X3KwS35xTbb76C/mCoWv3m7ud1o36rfnN+e+VIvj1H +z9V33nffc1xAt53627OK4TP8B2xKmaA= + "]], + + PolygonBox[{{4621, 2511, 2987, 3436, 3797}, {3813, 3206, + 3205, 2387, 4597}}]}]}, { + EdgeForm[], + GrayLevel[0.2195437500752926], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFl0ls1VUUxm/bxxvaN5WwxEhDSAAXGKSFEgq0bEwwYBlcmTDoFkqioQU2 +KDERRJDBaQOWqTyQgtIaTAwIJoIgZRYNSyILgytjAgLG78d3iIuXe//3nnuG +73zn3PtaVvYsWl2fUnq+LqUGjYdyKR3U73A2pVPamJBJqV/j8XxKj0el9E/y +HjIPNZ9aSWmWZFo1ftyc0pBkF5RTatRvguarqim1aW+OZNo1rtH3Funp0XhP +Mndl9G+dy+l7UD5cLKX0tb6vyt5XGk/K1mHZmqi9nU0p7dBvTyGlC5IfK/s7 +JVPL2u9nfjFfIPlGyUyQrULVOgZCz7eyuVXrpzW/JR8u6rs0OqXFsr1Ivx+l +v9bkb+Y/yO8z8v+cxn6tv6z1SzrzSDqWNhgTxtdifl9nlkjmQ42tGccLFrWM +Zf6stx/3NT6Q/HdgkzH+l/LeZ2+zfJujmKqKcZli6JWenzT2SfY9zcdLprfi +77zWV9dZj6ZpjeY9ddb/l2SKkj8hn5bIp6n6tcjYPOn/QjqGq7b7c9jGH3BD +1ybF+28xpY/AoVExa96Wd87I3e/S8URr70pue8E+rh3l3KDvcuj8LWe9xDhT +ct0F86tDaxv0m5jMr0fBsb6K45ii8V6D/cbnk7J7TTqHNPZJ5zr9JkuuNe8Y +wO2GDuaF222N13PO/UJhsSIwBMtc1jkAnxeCO/i9P2c+7ZCewYxtY3dp5Btc +3xKOcivtkg83suY2tdCls505y8Gpkbz1YL8WPrTpzDB81Xg6Y5sPwwd8e5Sc +t2kZ5xPs4AxxbRTGD4T11oL3W0NmdsH2sLWqZI5eijP4TYy3K+Gz9s/XO37W +qZcDUctgxjr71MasyMu2grm8L2d89kV9gdP+mN8KzMF+V+ADTuNy5imxw9mB +Bn/DoZJ07q13LVJf2AQPcIE/cH921jwoqz5HJF/UuF56J2ltesW2+2VjksbF +4ue5ovlxpcGch9+DJeO6HJ7r90Trr4q3iyT/QdG95peq4369bP/wc0y983sg +9D+LH5xX6OyWovkBZsT+nGzsLtn3tRpHpLNO65c1vqKcvF90nt7W3haNq7V+ +tWAZamGz9mc1musnIxfoBI8zgQkY8U38ayXfKb3tBcdLrOB5IHr4guin9NWB +ZtcXsdOja1EX2GmNuqEeenOOmXjh2Yy88T3YbF9+rbrnjo1Y8feN6Cszo6a5 +L4aytoF+esf0vPvvPPm7omTZqdIzoP1PNM7Q+sqSexM5nxs8bG72fEvZfKeP +wnlk25ssT4+5G32VGnwcMaL7UNZz+vE7Tebx7rCL/bPyf37RGOBXV5N96wju +4QP12BH18pnOnJDs5/ShgvNHL2ONu5L4wQisbmpcWPbd+ankO2SrtWR5dHcE +t98seY91cBsXveJ8g++qtnr3+Jacc/la9KP7caccybhnHql4vqns2uoPPlBT +9Ddq/HD0H/rQzaxzTf9ENzbgPj3+XKNrFFyPZoztFK1PLrqv0RPBfkzgQ06I +Ba7AGfiDD+3hR7f0vVh0rtqiv9Bb6F0j0b+KUeNNo+3HhYJxwHf6IzUM3uBO +fyO23qhNeicyxMq5O8jpe36z753vK461N+4LZLAxJnT0xfqeOMs644WYg8+4 +wL878n4quHg03k7t0Y+Zg1ktcIOz1Dty1PrV8P9c2fk9W3ZOa5HH03GfUONz +I09dGqdVvLY+3iXcd/AWfK8EHuNHuU64H+5Er6Zf8X0w675MX++I3s79eC3e +RtQKMtxxnfHNnDXO98T8UOiBvz2Rd/i4Ju5TcILHYPXsPHI7xIE/Cv/71R89 +6qWK/bmhuNbGe4Z3DT7RN+hLx/R9TOtfVtybmcNB8kb+iH17xT2Qd83Gou8D +7gL42BacXBe5Rm4Ztd9kjpOjo8HjU9R/wXzjjmMOhoyzY06tg3l/3GXYR/83 +Vd87vLmmR37wf7hgbsEl+E/eqQFq6U7kCH7ejPfESMm8hb+dzebmBu49xdXQ +5LfVgejVDwPzlrhria0vMHl6r8bdiv29URcD8a7BH/I5EDkl7/RQeib2sLtN +G4MVv4eOV4wJNQk+6NseOjuiXz6I+roWfWxU1bzMVu3rnLi/6NNd8V7irjsZ +b7Ja8IezYF4LW/StobgTD8U7Df5wDy9v9F08FHqeymQdz1DcR8PBSeyxDjfx +8Xr4eTjm8O5O5It9+txw5I5v4kWmu2yupNGuKTAmLvK5Ld5LM+K/D/+B+Ob+ +6Y83F77Dmf8Ahd/MeQ== + "]], + PolygonBox[CompressedData[" +1:eJwtlMtvVXUQx4f2Fnqf55yGJSyKaQwsvA1S7CVQWtiYYMRW48pEsK5MKG4s +EDdVIIHyKPWBuvGxkMqjLag1mJhg24QCxaqxUBqXRGLQP0CRGj9fvywmZ+bM +zHfmN6/mV/b29NVFRC+Ug1qTiBpMS0NEIY1oQ96MvBbdBvjxcsRIfcRh9K+h +/wFatjxiln8dlYj6YkR3gf+NETehpxL7bgWjHb4f/1XIV5CnkacS88fBK+H/ +Nv4PS8RYETGUj/goi7gIzmWSvEmsWmKseWJ2olvE50dit/DvEtj38XmA/0m+ +v4IxDF6V/58gfwxdh2/D9jHiNaTOWbn/TIyvwLsD/gb0fGIhMaawlcOH6Hfh +8w+6ffjvhj9CrCo0h/4GOG/AbyfmJmJ9Rs592AwqP/gCsS6g21N+FBObVuxf +pl53612zY8i7ke8h/4S8gH8jb53B/3bq2hwE41TeNZrn3+qwzS34i2CXGlwT +1aaRf/vJf2xZxAr4+/hOgt+m3kA92HSAtQX6nfdVmyKeKfott9BNQt/Cz0Dz +8OUm6+awr8AXm8wLQ1jPg3GAvD4l3yHqt1fvb3DNVfu/yX8A/OOqD3bnsWkG +bxT9KPwhMM7nXI978H9gO02+G8m1HRoF4wHvPYfNOex3oTsK5gt51+xgxbqz +IvQTqXNRTb5JPQtLJc+WZqIHuY4Ys2BfRf4en+/wXSS3F3nLNnSvYtOdd09f +qrgXndQ7Q78OrOGCZ00z8FfJOStXvfHfkmuuWqtnz+G/RC4PoRvkM068sZxr +oFpsyzzb63hjF/xgxbE6oAR5B3hni85VPdSs/wl/Iu+Zz6feXb1hruwYijWO +7U6wRjLPwgR4X8D/VnGtd4D5BL2s8d2O3wRY66F3M+/CCPbvZc5BuWyFjuK7 +PPUuaWe0OwHG5bx3ZKzsG6FboRnsT7zj2nXN1FTFM6fZk0838teZd3GKd60B +q6/ivqpGY/g3Uut+dDXsy9ClzHsiG9lOFWwjnWamig8p/H/TdNueVYw692BW +963sndQuqse/IG/J+eatTzwba0u+ZZqRC4lnVTdQt3BP6t3WjL8O/zg59xSc +05eZb5Zul27kHPxK4r+Zc4wnwXoajIGS36ybcD31bdGNvJZ6hjXL2gnthnrz +TtG3TD06mXhWtHPavQ8y91o7ol05k7nXuhGfw3cVfaN0m1TD05l7q5q8D59m +7q1qth/sXjDai54F7dhbRe+wdlcz9x/ai9tK + "]]}]}, { + EdgeForm[], + GrayLevel[0.31034992320869104`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFV1lsVVUUPX3tGzq8e98l0sQJBSpDq3FkKoVQeJhojEFMHIhGKZQPwCJj +GBLgwyFqAAE/9EM/IA7MEiMICqEOpKUFYqQtoIlh8ksNEBUlQl2raxE/Ts6+ +5+67z95rj3dg07ypLakQwmMlIZRifz8KYR/oq9ij8hDG5EJ4As9vxyFsLAth +byGEI/igHWshzlMlel+HbyvSIUwBfQ30NAh7FusS+JozIczM6N0ZyDyLlYKs +AXm8qxD9c2UIu0DX4L6d2HdgDc7pjgVY/0LmvmwIX2DV4rkyrfs+gPxf8e23 +FdK1AvrVQ9590LcxCaEL907EPrBfCCvBcxfoQZCxFzJAhm7o2AkZHViNVSE8 +Ap6NkLMF9NOQOx26LgNdBN0IeiD237FnysW7s0r8L1Nn0Kuh022wayb4WsAz +BPJrIXs+7rsV5y/gfDbO90OHpozw+QnnD0Pn8dD5JM7qwDsauq2HvEch952c +9mKV6ArwdEFuG75di/vWpOWzA3g/HfLnlMsntfbLS3huyMkHS3HHMtxVSIQp +sR1AHMBzHqvL6xzW1BL5ujIjf3OVZ3RvV0H0CewTIKsRMsdAdhF2TcLqTQuP +eRXCZFVaWK5My/+Mg0NYcSKM3oykS5uxasHzZdC78T5JZO9zkbCbkRF2Q0vl +vw7HIvWjjEk42wx6E9YbkeTznvO2i/YNA+ZpYHUcuNRAp1HQfyRWK3R+C+ez +IL+7IKx7sH8J/lX0M+T8Vi4f07+DwHs76CzoFyvlY+p4C/ZDtB90q2Oe9rbk +FfeM+XPGvAT08grdzXupXzV07o/1EDAdj/cjsDfhfHZOGM7AXQer5NujsHOJ +fc34KZYpB6tx3j+lHA34vh37ili8KfMTszbjli0Ii1xBz/MdG024azh0nou7 +RuD5a5yPxL4Nsrbjrl3Y704pBplT7Tj7BvSooNjf4/OzxoK2M8/nYJWWyB7a +RZ3oz9U55eRfsWzIRIrx+ZbTCf0C7HwPD+9i9eJxN/RbB/4NkP0kzupSynE8 +hvmJZH4FnlcT5esr2D/EOgD6o0T+a7UvHohl4w955UWPz+mrbtMZ0/QR6xtj +gflF/9HnPOt2rJGnFza0QeYyyO7hu4xw+iOWj/6MhSl5iPHYnPKYcV5WqXhl +rOb6KY6y2BcUlP+LCtL9kHV7LVGdeD1RLM51zjAPZ5QrF8l/wr5gPFQ7TuiH +wfbF4KxqJf3H/B6fkl8HuyekTEeuN8Qpax3qcR6DbixV3a9zX+hkHuJdR6K4 +bkgJa+pH+5jzWWNOjCmHMvg9+8lC94JngMnWKuXEOMsgbg3WkVhux/ttVbKZ +eJyxvYeRa99VSPZi2LcoK9tOOAZ4/7q09GSNeT5SPA5jzYwUV8fzspk9p9b7 +WNOstZRNnRkTDaY/wfcHQX+cyAeMe/qe9tU4Fz7Duw04Gx+prtFW5mAxpdig +XUMYz9C/DjFwJlH+b0mUT42Otzti1e990HMc6Mmw+/FEdY46sK4vYy/Hczve +zyxIp1nYL0eKiQP4dmKp9KNu7APl7gWssRN9Tj8eLvsfe8Y19WQ9pc+uB8kg +P/sa46LGft1sWZRD/ajnj3nVMNKj3PcvGYvZBcnbBZ6LGcXNZfdB+oxYkZf3 +kn9hQXWJcw2xJuaMW+pGLBa6zq3xt6xnnF0uu57xnDWnuaDv05F82WhbeM9I +yzmd0YzEXs6YKlp/9h/2XNbCHa6ZrJ2trpvXIfNYXnlWjnt2xrqfPZC6kJ82 +r3ANXwqe9WWqdZx/mJvrnZ/sUayhjFv2TN5N+4gNz2jjqYx0LNpnE1yvR8ei +R8WamyiTsk/lFXusYafz0oH95OZIcTmWPSWWjvTPVc+Q3zt+6F/24s4y4UPc +iOtaY876zvqz1TVyckq5zPozPKUaTv1oH/Fk7eS9I92LGkwvj3VOvZiHnBXZ +4w5Ewpl4M3dJ06fML/IwTh6MVUduihTLE4zNU4l0OBSrFu/3/Eld6OMb8bnf +MVq071nrlmRVX8jLnc/0F2Oh3vGwyDw3+Nfbp6xZ012r74/Vzyoj6bvPOhPb +TuPJPOLMwJzvKFNeUzfmUIdp1oVq5xp7UF/ul6hu9Pd535n5e9zjWIfpN961 +yTnAXGDvog20hbF7zbWRNXK/9ax1ftUa8y2uLawxvZ7he/3vUGmasztl3ov9 +gs+JCRf5iBVxWmJs2e+ZC2vB3xYrfupj5eY01x/mLGcjfsuexthiXFFvPiee +nU55fjptmtiyl3OmZV3e6Hc83+tvy1yPeM/2WLNJ0TMwvyv62ynuB9Sl2rWP +mF+JhevfserZRf8X0Bc9nhOob43zgXqdtA437qDsGttFm2j3RddG8p92zvNs +mv/LipHuvWKde40/Mf/FuO8piP68oF7C+LqHGEfSfyDoO91r2HM4T7FPsL9w +7mBPp03/xOLnd5zVeM+pSDX4iOd34kQ9iBV7KfON8dPkOn/J/u/1f+buSL2P +PXCo/wNYT9ireV7nHO80zdzpML3Yudg3J5dqTqMNjPGJrlfswdTlaEFzXbN1 +43zX4hnvmGdRzqS0h3Z9mpdPmv3P2/e/5DpMX7J+sV4xZi84tnnW5+sS1bBu +0/8BD+ns4g== + "]], + PolygonBox[CompressedData[" +1:eJwtlUtoVVcUhnfijbnn3tyccwQdFApGg+8HtjXW+MBHdOLMCjpQNDEGMTWx +D2ySQnUggha0agc6VWyNJrG+EY0GH0HjC0l8tLUUaetIHVgqOqj6/fwOFvff +Z63177XX+ve+FXXNi5uKQwhrsQy2vTyEUYNCuIelaQijZeC/syHcBD+PQhiR +D6GU38HYG+InQHCmKIT/wf1JCNdYR4PhALeUhVCRd+xQeE7x7UlJCP9g84mf +B+c9Yuey+RxwdyGEjXDdguMY/klxCEX4esjPDglhAzGbsq5JtXXgf0PdHcR0 +gn8SB/4+8qvAr/i2H3wAew3+Hf4FxNZgM1lfzYWwhBpj+KvJOw9eRb3rWNdR +1/Jy9yIHvk/tEXaa+qrJz4Enx8atWAv4Ft92q6HE307M/Sd8lVnvUUXMZfLn +EP9p7B6oF7tZ72R9NPZZXsDRBZ5Nfa1wzCW3MeuaVftC7BFnmaoY8CU4PwJX +xD7rYtbDwXeJOVvkGXWz11jWGeq5A9fncN4peHbj8U8h/md6dgHfNDj78H2L +7cq8nxG+fanP9pafveAHiXujmWv26rl6L45D4CzfKjlfFRzfwN/J3k1wFrMe +YP8PC/4mLE2dIX5PxjOrod4tcOyBazMcEet/4ciXWEOnie2kP5/Rn3JyRxL3 +BzH3B1kj5+BOUs9Gmt6Gb0fsXutMOls9e18kv54zNMERo7HH/P5I/lZyS4dY +e4/f+xLsr8ialDZHsG6jhgbyTxLfBmdvxjP5BP8ivlWWWjO38R1mrwK2Dv66 +yLgr59r1bSX11OU9G2mwB46xxeYQ1+zYs1ePfgBfx/rANzQv8Di4uuFsJHcG +fA30aBO9GgrHGvDRnDUlLUmTNXnfUd1NaWwp60OsvyOnNrIGpAXNsDTxGXVW +afwE+Aix7WWOXY19T/4H5DRHjtNsnvJtetYzupJzjapN39T71fjXR57BDOkb +7uv06zd4LuB/hn9m1jHV+Bfgv4b/V/w98keenfZUbG/Od1k5rbFjxdkWu0fq +ld6AWeCWxHuph63gZnI7ynwWaa4LvCFnLB0W0NBO8A7sS+IPsx5W7DerHfxL +wXdDGpVW15C7q8x6kuYnxr6b0pC0NC32WyDNSDvSuPbSzOrhb0/9Ft7EVuA7 +nvrulnDO0eTX5v1m6a3SzAcSv7157CF4euy3VW+O3p7+gt+KWfB9zPpY6rdG +nOL+OvHZ9GZ8BR6Teu/N+L9IrY1leWtXGvkvtrbUg5ex99TeeoMPpr7zuvt6 +ozeq96n/S9RD9fJ8wdy6s7q77wB+qdgH + "]], + + PolygonBox[{{4389, 2686, 3137, 2195, 4485}, {4487, 2196, + 3140, 2688, 4390}}]}]}, { + EdgeForm[], + GrayLevel[0.4011560963420895], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFWFtwVdUZ3uecfa7k7H12OlNosRVGSayCDqR1KJckwx2MY63y0pm+2Ito +BeQmhEkCVDnACyWQAEEHAvVB+iCSWGhtISBQkXYK2D5UsFM7tULHzrQ6pIKA +9PvyfYwPa/611+Vf//ov3/+vPfqJxd9dlA6C4ONUEGRA++IgOBiigQ6WguAK +WmchCCZgckEuCGZgzehiEHSg3+7G/p1g0ubvseC1vSYIGtGuYG8x1N7tGF+f +aP0Y0GHg+Sb6JdB60Dq0DPrNaEvQZuGshe6Pw97j2HMMayaB/joKgnkY3wr6 +Ic4ZPiwIruOsx1KSY0gGzLVhzVew/pNKEIzC+MegBzC3NieeU7Hnyby+B9Df +BLoC4xtz6i9PffE9NtC6Nd7bDj0kRX2fhp5W887g0QY6F/I8hLnrFd1pZaT7 +8Z5fAp9cSrJ+G/1ZGc1xPJOIXsO+NPbUQK9PoD8zrzVprF2fkzyUjWPcz/FF +aEutt1dAG2lQrFnF89FqA9lyGfrDwXcj6HNoozDe7TV3Wp5VXj+F45aTY61o +21Ian5qRTrpS4sPxqT6XOpuIM+7x/g3myTWN3kvZVpoX+azD3ffhPuMT2Xyh +77I8I5mfRKsUZV/q7mf4fhlnrKItoJ82tKOYK0DwifC5++HDZ6HDDqzbAVqL +vSPS0mmT9XUWex9Oq8+zaM/6gs7OY+5xtGxKOh9ISc5m65k8DofyscXkh30f +5rWHcnEsRP8K6DfRGtCq4LOBd8T8SdBetO8Eig32p6N/rAx58f0ryLwfPMdB +pm9h73zoZRf4d+Je3aH6POcz8kT/Wk6tiv5M8DmAPWOKssUl+OQLJfl6Efw3 +wj+7MdcK3+rJQoegHWh70H+pLJ2wT/0MB5/erMbGgsflGsXNf7E/X9adGXvE +BcY/Y4C6pp43FjVHm+VC2Yi+SjuxD7bBYFq2pB0bsP57thNtzhii3bm23XsH +cuqTx7+hk+lY8xHopqJikvH45aywh37ex30YnwfajPHdaC1praO9aWvqjDo8 +k5LsDZahriCfo791hNLVLIw/X5JOqc9ajF1GS2HNtBrpiPq5lBHm8H7j7dvP +g86D7tuxrgV8r1aECTdA+7DvYElnMr7XG3MG7H+MTWLMWyXpmP6y1/7ThbH/ +gN8HeeEjcXIgkR/tNfbS76rGjfXukyfn95kP/Y2+1g2ZJ2P/CYyfAn0RvrgZ +4xdB78NZf6qxvdF/p0aY/hP0u2uk+6fR76mRLRehvxP9ERgfMUx4TZ/4F+g/ +a2S3xTgjh7EX4U9LsebPNbLl57H23QItRsozL2DtFLRTOPMt0Bjz7VnhySvY ++yh4nMLecqQ4+33i/JRVXviENsB8F+YTjFXQZmP+Bu73KtpTGeHtgPPRu1j/ +DvpNtiH1Rb3OzYhuN/4RT1dYd9RhD/XscWIs45hYwLnZGeEm8ZC+x/MZs/RN +7qd/3sKa0xnx+CVknQPaGQmPGIvEq5sYO2TsZp6lLMSQqbH89EwsrJ1ivG13 +rqYeKB/zOnN6f15xwhhZl1OeY55c4nzMfPfDivbSDsxJjO8M+n2hfJ1Yv7Qi +nVP3HxgLiaNVYx79rWrfph/Sj8nngZT0vgDtjbQwh3fkXe9Af2RGaxiHY52P +GI+8I+UnTrVYh8RdYnKXcZ18OP+p8Zb1BuVlXDL/fBQKf/jNWoF7uyPJ/oDx +vyUvue5H/1xOtqfumo0l5L8PfC5bVq5/KC8ZGry2x/luleXnPo5RZtZHXEP7 +DWaE3Y3Ozx32n9s5iXZ/zr5G/yE27zE+d3hPl/P+BvvGZvsR+bSmVH9QBtZf +x62TVsvGnFXnWipn/Og1hrQ6j7NG2B5K18xBEc4vO76anRuJh8xHvCNtFITy +EdYF53PSY4PjocH6oU66rZepriOIgdT3PMfbTvMgLs5xLLFmanI+pz7TlpE1 +DO/U6vsS46vOlYOuHW7bhPcIXbes9LmL7UccnxIrP1wsSy+t1tUm12OU9Q+J +cLY+kVyzLNtG6582Y95Z6Jiivy93bdNbVL5j3mMc5sy/6n2MnWVePx/jN2Nh +7Y1Ydq7a1q3WCX2DOqPuHg1Us9A29B/Oz7GfTPAa2vcz5yPmpSuun1lH14Xa +S5uSzyLb+G3jMPH4jaJ8cbjjmHdivMy2TNTFkkT6useYSj9gbcS44T7GGv2I +eEV73RvqzrzvDyrKyWcrsj3tRBtV7ee87zdC4RZ1u8I62eY+9c99Kz1Ofa7L +Ki8Q1+bnVUsRU5ibmwquObO6K/2KNRvfLSXbYYFlY55803Mce8rj77tP7GD9 +k7ZPEvPuMKb9PFZ/DfQcxsKPfbFkpryUc0tWNToxlLmTOM6aivtHWm8nnK+Z +twuhZJwW6OwFtgX1zHppuLEkazwZwNjcony907mmP5L8N3yHrX5zHY6kp2t+ +D/Y4zqmfWa5HZzjW2GfMUJ5PjTOkV13rEveuez3xnH3mMd71pv35CL7zofTG +fdxfsF/QP1jjsf6qD+Wfp0Gnhbr7AdD7QtmCYwWPz8AdLmHP4Yp8m35Dn2H+ +ZR1CDKp3LD+byHaTQ9Wr5Hevef6oIh/6MWhbKPl4xvcjvSf3J3pz9TquqV/m +BcZ1v3ME7cJaY6brW461eLzO4xmPz/Ne1t3bS6q96b+RsXdULD2MjlXzjilo +D9+Dg84pbUXV5fQf1q+bXDNTxznrudd6po12+A11HjSuVXzla2Xb+a6ZWZ/n +rB/GDd8WrCfoUy3Og8Rt5gDGLfPRLcfkurLw6S+JaiziwkXQZRX5/XLQduyb +HkqeVK2wJg36XlnnE5t7ysrlf0N/WySfzmHN6li2aQXdEqvWaowVS93Gga9j +3U7UjhNA15ZVC6+FDF2x8tzDiWqxnY7J3lj5fi/oQFk4+nokH1ltPTDXsc5g +LjkSqU47X9adT5vPXyPVQb8ty9cPGR8ob7vv2x+rxno9ln+1efy9SPn8j5Hi +hvHDOLrgcc6zLqbtWfvtwv7dWPNYpPvwXt32lzrHDnPxFefj1ZHw7DTWbkn0 +NuhM9C+D/ngs0bkLHLOMoYnG3/GxdHG2LH1X7SfMIXWONdqz6LuMdA4gHtFH +Wf8wn1b8lh8X671LmV/2e7Hb/W1+D2+NFZe7jQmvRarnD7BGjb74v3JXRXXb +3RXh2qvG6nbX/IzBg5FkOAL5D0XyT/ppFf0HGSvgc3csLBgDWpeobt6QiMcx +vx34djlYUN5i/PY7hnclGn8c/K7FekNejf1/w7FZTaRLxlyf9xITiFuJ3yx8 +56QdaxWP0458+3b6/fu7xP5cVl3PmB96+2Z1LtczB593PUbKGOSd/46Y6C/p +n8jQm5LveIyfx/tsyTDJyvx/0u9H1hHnvLfBfdYXQ2/6rPTQ5JzKc7nvlPPm +kK2Mq8SJg64XT/pfIf2RePZMQbXR0H+agvIY3xr8/8KanZjYXFBu/E1Z8cU4 +OwM+j7DmBd0c6c7jEmEU34PMky3GLPYvJFrDtczNzNFhInzrsy1YH/Cbfdqf +737q+Kd+e/NfztFEOltR1v8Y5gX69mqMV9E/Xpa8jZaZ8cdxns06sd535F15 +z9v/pXhPrqc/jbFOqJs699+HfV4rae6cay3aZZff8nzT8x8Z44txRn+iXZjH +p8O+a0q601cT/edqipRnYr+1WaOV3X/atcI/jHNHnEce9L8Y+uGz4DlpmP6t +8D/BMyXN0aeO2q/Guv5j7Vd2XiP/M37Pvg16M1Ku+hz0f7HkGQS9UBamTDZm +H/b75N2ycv+kWPUH3zusAfZHwsZfgO4oC9v3oH8uEp4T14+7rnvEOfGkaxj+ +z1hYkk/fhYvuwL2+Vqu1J7z+/4E6n1c= + "]], + PolygonBox[CompressedData[" +1:eJwllltsVFUUhjczw3RmOnPOnJoICgoNFFDSRKIhBsIloCJoVFReTHzxRkKQ +mzwItEXk/qIgLTeRmy+gidCCIChyEylqrKAPAkYhoKAYFSwqUMDvz5/MSv61 +11p7rb32Ov+e6ucmPzkpFUJYh2SQ2iSE+9IhLMiFMBO8PQ6hBUM/1raCP4pC +WNEphDHou8BXkA7wKWQCuBKZif9gZAD+Q5FRJPiCmB9KIVzFfh3fJuQd8P6S +c7WjX0S/htwEv4GsBh/AXpsPYTM+S6jnjiryV4YwkPVu4NOs1WDfgn9z5D21 +95LOIbxSDuFM5Np2U8Ma8G/4d0EfSczv4F3scxe19kF6UOuekve6jFzCfwpy +HrwR+3rsX6P3pE8NrLWBZ5TcuJXoK8B1yJvgC6ytAreV3Iss0oF/BTVvoRf3 +o+eEWfsg7R6ql9uRRuwPo3+osyB14J343564R+qVeqLe/C3/lH3aI9es2jch +m8E/xa7lMj4/grOs1dObGPkH/Wn0ZnrbFf0G+m2y41+HzEQ/So4dad+Z7q42 +du3qmXrXRo+7przHaupL8GlN+w51lxdZG02te5Fl6JORc2nP1LbYNam2nllq +L/uOdFdj8L9E7LrIvdWe2ls9VC8rkOvgQcSPALdKwO9FPrvOqLPWsEcDex8r +hlBNv29Ejt2D7Mf/Z9anMU/15FuMtLMWEVuHdNbdY59bCGF8RQhDOONN1nIZ +5zxe8sxodvoiPcH/Igmx55AH8A3oeWwjkRP436MZYc9HyLUeGQU+Rf4a9k6h +z6XejVl/Y6+DZ2Efg/1RbOM5Vxn9L/Av1DOJmCn4LMR/Ov4fs/c2ao3xeRlb +X2QreoQ+Meccf+a9h2LPssde4vcRzy98Ch6H7XSlYxN8lxP/B/rwnHPWY69l +bVjONS0kZk7WM70A3MF5b+XsA1lbwPnTSDHlGXme+x0cuxeaMc3aIWIO4lvJ +2T4DT2Tv5eRoz3mfQeSewNoz5LoX2Vl2b8UpS9hretnf+gD0aeClibmiCb0X +eB6xvxZ9t7rDGmL6k3sLMp/8eexHsdepL0iOHm4i5yFwS4XPmmetKe8zH438 +7esb/QZ8mByHqP8J+vc5eCqxZ9lvUd57thd857rrpcT3psbh1NtG/BlqeUw9 +J89D1DsEvQlZTm2rWRuH7SX85+DfA/sL4G/Zu77gma7OO1dXcl7LOedmYvbm +zInixqHYLxecWz3tx9rirH2epf7q2LN7nhwPovdCvzvjHvUGn8T/WNZvwgnw +Ks1OwXyhO9kZ+S0Yy/l3gEdXemY1q5rxAr5Tir67KmRDbC7thj0Dfktnzpgz +xZ2z0Bsy/mb07XQX3xO/kn3vBL9Pji70Yq16FPsb1beqHr1If64gtxDal5qv +gj8p+dvQmadS/5eJZ0XfzFfi07K5R5wkbpqXuNfq73zwU5FzqSfqjWZGsyPO +3hr5TdTb2MxaC3hGbO4UR4grLiR+a/SG6C1pjMxt4kRxo2ZUs5rlPiaDl8a+ +e/VkWWyOEleJg/cQOyzyW6AZaRR3xuZycZa467XEsygOmQPeFvktUU9axPWx +a9WbpbfrP/SqzuYscVcX+ty/4NnSTJ0s+e3WjGpWM0j3tL/pVGSuaSyYS8Q5 +Y0vmNHGZvqH+3NnIojmiD7HfFc0x4hZxrrillfihOXPM4YJnRrOitY6y7zKt +9wRckZhbNAOahdn4jiiam5UjRb7deb/xeuvFfS349MmZA7NVfov0Zurt/D7x +7GrGj4t7Y8+mzviu5j/yfxG9+SfAb5d8V2vpVz31HIn97a5Cn4G+L3Gt4tT9 +4NbE3CaOOAI+gDwezHkHwa+WHauZ1+xrT+0tjuhV9jepb1N3dAX7GvKvA69H +ZpfNIeISrTWUvSabetCJsy6qNKeJy8RhzQVznrhOPfkf0CRXRA== + "]], + + PolygonBox[{{4095, 1304, 2669, 3223, 4636}, {4635, 3382, + 2667, 1302, 4093}}]}]}, { + EdgeForm[], + GrayLevel[0.49196226947548793`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmgn0VdV1xu/7v/9w33Tfe4g4YxCDEziAU7RGQGQUnEDTOg8IJFhtbVdX +BETbkpjYNiqDiGAUBSIYg2AUBFMDoiIoMmhVEBQEBZRB1Djb78e3Xa717jrn +nrvPPtMevr3Pa3f1DRf8Y0OSJKfkk0S/ZHIpSc6sJMnMQpIcoQ8Tc0myUu1r +0yS5QwSNet6sJ8mHen9D5Y5oe0E0G9R2l+oVPXPE55BikmxU+2uqT1d9f33/ +VZYk7fX962qSNDQnyUKNUdIY17ckyXA949XWtuj+9F2leWzQM0jPbo3XX33H +iUdb0d4r2mnq+2jOdTXtLSdGfbBoe6lfD+antu6q/63BNJOi79YmrVn1es7l +lKhPE+1vU7/vSE3POAeIfnne8x6v920aZ7meIao/oOdY1XfFHryi+hyVs3Pe +x+vKatDaUtUPapUk+4nXISpbq/19tf+Txtmkdf9Z9SNVn62+XTRua5U5tT2p +bzvF4uei76r3i8XnbbU9qno70Q9jjJzns0bt09S+n9oPUjlX7+vVfou+dxPP +ssp9tJ+DaNNZNInmYfEtxPfuel7RGic0+0zaJW7jG31e1VOONU4Wn99onFEq +F6jPfD1F8RmZc72XaB7J+xvtD+bMk/3arn7jVL9P9Xd1aB21J6ezRrX9Qs8F +ic8fOdgmHl/mXeds2ZemvM9gbLP7nJ3z90FBM1rvRxS8br5DNynn8cYG/bDo +y1hT9D4DWdAzPeqt1b6z0XR75yO+m7WW9/Rs1/tU0bys8gTRbFLbwznzmRp9 +GbuD5jAq5AB56Mk+qG1dyOfCZo8HPbJ2b8jb0Ngv5Gtp0L+mfdqkfTtRNANF +f6fqHUNfF1W8vt3SkZdFd6qecZrXtaJbp/ZrVHYVbapnQoP3YFzsSWfR3dPs +tb2YWI+Yz+aQA2SAEpqHQ2cnRL2N5tAknu+I5lPVG1W/oMnlZ6nrO1r8jfo6 +9VurZ6XG3Fb13G6vWbe6xty2q/1ttf9W7ceo35EFn+cZer8YOVF5tNr3KVgX ++on+PPHro3I189azQs8Teesw+9lLZeuC9Z51TIj1nsG+SUf+oG/3qjxd7zNU +/5XKoeLxdxproPp8qjUM0ft5qn+i+nWqfyse38VZfKjn4NRyUW70t8s1/q/F +Z5ja+mpu3zS7HfqHGt0X2qka76443116/7rZcsf763r+Pmf9WN9iO3Nik3UG +fbkIW6b6CSovUvuuFo93qOZySOp5LW+xTCAPp0b91rzl6rXgf5neV6v+WYPL +NVH/Y8zh0RavhzVA+8sm11nLXlujZ0Pis/2Hhh/k7pIGyx52uGfwZA4/iflc +pD2fIftzZcFtfBvb4LGgx26/VzEv5OW2vGmY/29qHqtd5vdlah8dJWs+LfFa +lwf9JNFWU+vsgSoPSC0r+KcDo95d42Sp9eBn6JP6dlHZNWe6zWE3sYXdq6bd +L9bOHrSJ+uaKZRhZpk8ttUyOrHhed1dtFzaLf+/EurGzxTKH7t+fs95NiTpz +xk7/uGhbPU77NrZkWzIj7A46uz61H8JG3x/t8HlAfYcVLVfYzabw3Vvz9kf4 +ZuwJtqSqZ7DqdT092I/gh+1HP04LHXlL488Uz7ai+5HKJ/T+kWieU3mK3nup +73GNnt/0WMfQWMuh8hkXSSYOy3wOtdjbvM70VI31u8xyw54hS6saTc+eItPo +GXzwje2L9o8DtH/99fQVXb7RWOVk8TpQY52DPxPPz/XeX/Vz8v6GH8InfCya +O/U+WTR9GUN8+qjsreej0PcBYcuwA7uZA/qqckuD++Lvxovm2CbrKWWnqPdr +9hyQ7bc01kcad23d/oDx8Uf46oOL9tfsZbui95O9YE+2ZrYDncJXso5+sRb4 +bY/1/iL8GradPekX40LH3vRDR1T2Dt1nr04OvFJvtl2g/SzNbz2+UuUXmdf5 +J5U7dEZtsVEq10uOt6n/BpWNVduzB6vGa+w1Y87W+2y1P1E1Fjgsb3wwO3N9 +TGZd6N1ovbo8MwbZt268tzCw3S8ld530/XH8g+onax8OqHm+zBt/+pXej1L9 +a5Uz88YCtZzn0S/O6Luww8wVnMb6WTu0PYJ+RM70N+fsex8MW4nvnxI44U2N +UUEmVa4W7Ro9zzd43C9j7MV6Oqgt0/N01XowUes7qcl2nHMcoPFX6xmc2D8i +68j5X+rG3/+rcrj6LFX9T3XTrgr6iYEpwOrb6sa6DcKWf8w8j52ZMemOxJjt +iwbrOnhsVmp7iF3coDW00tibVF6hPivVtkL8Kjn7VnzKpXmfI2eAj3o+/BSy +Niww1Vyt8RP1vSHzuXK+P1bbnJABZOEFnV07MILGWlOxnuxTs189t9G6Bibp +0miMgczeFueHHdoV+BM/3jloOlZdP0blQTXv7/7hH/Ad2JDB+KO85w/vE6Jv +Q2ZM1Vi3zcfes+5P1LZHz9ZG+yd8Kz72cfH4LO844LmK+RxdNd7BhmPLT2nw +eIy1VTTnq+3kmvEZevnXijHjxgbj4R2Z5W6O2kdW7RNuFv1+OssXsfsq52rM +v+V95vgZMBe+5v2K9623+i3S92/zlrevMs+jntkG9A1bga3qH7rQP3R0b73R +sohcgaN7BZbuVXX7lortYf+gYcz+cV7sE/KxR+MdHnrevmpd3BF4/erU/rJ7 +xAhXhBxyJpfGucwIn4F+fd5gGuKmT8J278ncdmX0RZ6pQ4uuHdtofQObgFEu +CxwBngB7oPffBDZDr5cGDp+ns/8/zW2+yi2JbfAb+M2qMciNmW39qvBH3SJO +Ip5aHX4Kf4XcI/+7dXYPVY3zplZtc6iDl97PvL7FlR98DPvJGIy1ve75XRZz +zonuP0vGiMQW+D58PfKInKKb+C3OdVNmH4UM4qfAvWBeZPrnYcOx5QfHOcBr +hfzMd2XT4meIc7BzYzTuHvG6um4fiP+7LjAneBMc8kGshTWhG+BzMAx6cEXB +bWDVSwr2XeCdSwu2ffC8rGC+t9SMfTdVjRGwSfj3G+r2Z+3rjr0nRN6AOOaG +1O/ElA8GzgHj31JwTP+0eG4T73kqc9KfC/V9tOrPhD3n3Kdr3YNKnuvbzbFP +iW09+w3u3Rl6z7pGF5wjID8ARiBuuD5nXXkmeI7NrFfkLcZWjXPvqnrMqeFH +wGD4dmL2WZnj5BbRn6FnObJVt/6gRxdm9o17fWRi/V4cOo4NOaTJdqRV3bF6 +67p14orQi+WBtcGdN9cd93VSOSdzrmGuyhWZbccrmX3YouBPnIbMI5/kJI6M +vARtKxt/wGYrwyYgO22bHFs11Dy3JRX7VzAGWOff68aa/6HyBJ3L0freppXt +FPbq95ntGvZtaWI72zrifWSAWJFzfyP0FBw7S2uc2WKfNK5qvHNm5lzSq+H7 +zsrZD64M/LYr9JY46eCIld7K7MvXZsZZHQO/PRr+FL+6qOBYjG/V6PdyYOod +gasvL1gPke0hqWUdPT+r6rPsVnVMAebFfpwlmpbUenV7xTI4X/v3ZGaM8lRG +EGHbeKT6rkmN3bF/YyS/Depzd8HYFZvC+YDRewa2xN9yNuj3q5nlZ2Vm3AQO +xN+D9cH8qwKvDggsjZxfH3yHpn5nHMbrnVpH2mgOXcv2gfjqWwM7watP2LdD +my0P3/u98bG3+D/eqTN+3+iHr5sT/m5V6rUiz2drrOsq1rkbVXYr2l/tUPnf +ZefvrlF9asm5o4tU/x+1v845t3Iu77uqdeSLyE1N1vfzS7ZTA0U/qWxfVlZb +l7L3GryIXcZGY3uIu7GF+Gn08sCafQ2xLjQfBh4Dl2FP0QlsFDgIf4efuDJ1 +XNk1bDE2mdgTHQLP0Oc+zeGnWucjBctsj9ifj2vG3mDwXprzlLL3vH3YzLuw +Iep7Ttn28jhyH4E5wWVbImd3qfr2L1mvBqneuWz5urro9bP2eWFLF0Z8xnom +R3z5XqyLPO6mwDOs75LAA+Mi/4bu/168LyjZB/y0Zt9FjgQ8NTsw1fCcc5rL +w0YOjzpydH34yz9nxmFPZMai+A7s+6iac3X3iedwjXV8yfkjvoNV+YaP4f3w +mjHlbSGrs7TedaL/UWr9JveGTLYPnvC+WDRLy8YKowI7f5+rGxo+KIscAOc4 +qWrbjo3fR/22qP+N+v5E0Tlf8r2PtTjP8lKz49cBkQPpmfp755zbyXsw139V +v8EV+6I3xfOmkn3e93kZ/PK3VdvKgZlj+rmhR1NFf2HJfpcz/6+yz31+Zpp5 +KhuLzhewXzc3mSe4ZaDoHyrbtg1VeVzJ+U2w881B0y21jh6vsW4Tzb+VnddD +X3uWrLNnFp3LJnd3fOA8MN412t8R4pPPzI86vr5Ti9+pH150Ph169H5IxboP +DkUuwCfI9Jbv88/ggdRy0yFy98jSNPSiYlu+RPW/lCxzswrOG5Nv5DzK4NrE +uBx8/k7NbZVoxy/hE7H9z9d9F/JCPbBh5NufFu/5errlbJP6VGyXyG0yTjl0 +Hl/H/cX2kB0w3kLRLyjZdyGrxKWsa0RgaOroTevQnQ3Bh/7Y4NEh28/VnRta +onKZ+N1ZdJ7vDpUvlew7z9S+7ltyrnYK9rzi/eBOCNwG/iCnTUmczp3D3TnH +OXnxebZkXwPuYG6c0adqm1h0Ho2485HA7Rtr9jnEmmAuMCo+b7ro+2vcxQXf +L70R/n1Bzfczcyvex23R/mXN+/+FyhOL3mu+Ywu/K3jt8N4W/FsHNqSNc+4Q +dwTkDInz2C/w0rLIGYLzb4n1LhLvbwpe72bOVON11F6tq/m8yVsgY4/HWfQs +WraQq2M0nxbVV4v+m6pzbtwF9Ync9Tkq24ZvwkfdG3lC8oWnR977TJVHiM+X +4juTXGPgPXDfKfp2oWhOi1wEGG6JnrWRoyBX8W7E+MT64DHscc94yNWBi14N +/AkOxZfuLNqf4g+/LdieNxSd46NPWe2b9T4sNW/wBOdaCd1hX+bp+1NF5+z5 +Dh261Ki+G9R+VWpd514QHV+QOXf/NHmSonUA+Se/sijWtr5m/XurZvwCX3JW +4O968B8dOJ3zJkYHf+CfOGPOmrWApcBUCyKPtTVwMnvHOMj4pLrntqJmfLok +Yvt3Ne+3U+dHd2qOyzTX7uTdta4PVR8JplP9XdWvVX2xaHoXrTPIMfJ8n3i/ +rPZ7isYT5ByYB9gAHRoRerQn4t/mVhFnN5sG7NU7fMTZqXEkGLJHaluMfcW3 +PBa5PvJ+j4WvYbyzgx4ePYPPI5rLmyXjYtbTI/jsHTPGxXZ3j/ajVHZKHYuC +f9el1t2/1l1/tm77Mivy/3v3vtn7D1aaFbgdP9Oxxf6LeIK7BOILynWR+yWf +szbqe/cp8jPkj7kLBdcP0njPis/4qv0454AvHxE+Gz/NXcOzERcRv6yLO6ke +ddsJMPjUwDdge/wHfgQfg70iVmS9xA1XRSyNjeuT+jtlr6gTpx8V+8P9HjlN +8pn4dnwA9v+w1LiD+S8MGu6pWdNh0U7sQm4ePeWcjoy+ayL2+SzklbgNH3du +U8QfifMij0cu8qm6sfCTdeNX9hy9Q4dvD/zNno2JfRspul+jo3XHO20j5uG+ +knbmyd0rOU/8GjrHvTDyzf8Cfpd63pwxWA2cdlvd7bci/3XrMjp9Z935Me4z +OauZgbGQ2WWh4+zdi+ErmcuhMR/sDXLN3jxDPXW+dVm0M8bG1HlPeGLnlkX7 +qLjLXkasWnff6zPr0KrANPBAl+CPP8GHsEZk/Y7wVeQm30mdc8UuYB/IWRIH +vBBrfyFyp9QX102zqG7ejwZ/1r0x5kneiHvfgRHn0p+zRk5YJ2tkjqsjRuI8 +O8WZLq17Pi/WjaFoR89eD8z5/X7CC7xBjhme02IPF0Yd3muCP/LVIWQM+To3 +8kK944yw/30Dy4JXt8uebCta/2ohy8TdxOYfR3zOHR663aVm30/OiBwROPdf +Srblm6ONWOvUuOsBJ38g3m1kZ/85tQx0Dkz1Ff+nKPu8We9rsb/caaC/6Dn3 +uueHjtAfHSYHjD2jRGe5Z8bWYfPIH3FukyveZ/SnEPYAPw49eszdEOt8iXih +aDlaEvqJ73g+9pF34qv2EYsSRxA/oXf7E3eq702pMS3+AOw0OnAYayQPwhw4 +626RWxhV9Tl3jLPmnuSkiPvuiXfq/Pdk37L/fzIi7CLjnhj07DPrIN4k7kSX +0eMdcX60YZ8fFp+His5JkzM5LvhDtzNyLzP0/fWS7/q4e+c/BOTtWtdM/5r2 +837RrCg5D8I34skHQn+Xh1y9J5pS2XmITaoXy86vgH0Gxjm+rPZPSvZn76je +VHbu+ZrUJbaaPMOwsHU/qTm3x50/8VmrsmO0q6IP9KfG/wC2iWYj/+Up+44U +v35d6j3CPwwJH4EdHRr8N2ouTxbtA/i/BnEWMRl7e230nRS5L3L254dODQl7 +f0TYfMYZHPT4PDDqaRF3s5/cZZD3vTD6jolzHRLyuT5k9KSa/8fwQcV531eK +9lWfF4zXd0ccPzx4ogs3hT5MiNwHMscczwvdvyfu5rijw/YhK5w/uJXcKXH+ +co2zq2SMwv3h+MhbclZ74ryY+wWRa/1//qAt4w== + "]], + PolygonBox[CompressedData[" +1:eJwtmHewVdUVxs9995Xzzrn10UE6KkiTIihBIXQVLDQzlsSACigGjXGcARFN +YmLJGGpQQA0YUMoMoFSxUBSUKoIG6TzQUB9VIBg1v28+/lhz17fX2uvssvYq +t/6gEX1/VxAEQYdEEBTyOz4TBBeSQfAetBz+F/kgSMHvCYNgDfxkxn4Cr4a2 +wG/KBsE2Jt4G9YRfic5udCuQP4X8hRwY23fzkRfhe8RB0C0dBB+Wog89B59k +7rvoL0H/FmwMYx13MHYrfAfsFSZtcxX8Z9B++FOMjUT/Y+a3QHcN+AvwQuY0 +Z/4C2YTviH466Tmfw59EZw44x5oq4L9Le+19oB7orwJPQTaxGPvoP8F6d6SC +YBr4GdZbhbHN7KULuGreczT3dug/zP0z+gG/80qCYBz6PyOvURQEHzDnJ/hW +yBJpy2ZArcuCoH3aOnXgm+f97WOs95WMSfwJaCeyP2D/evRnMncMdDP8fMb2 +wR9lXwPgZ7Legdj7DWOdmNOO8ePM/wa+A3fQD9lQlnkDfHXoOnA7aI/2zvyO +/D7KGbzD/LPQjWnzx9nTMWxc0P6F5RsRdlM+m8qlXstj6A8o9ZoaoTMKnc/Q +qcb+yvhec77VAtqO3nl0ZqW81pPYb4H+FPZfwXrHsveV6DRDNhb8R2RLM/YV ++ah8tSVjr6P/EvKN6L7H2AJk56Fx8C/xvT3sZSA6ddFtkDH/Jfe1kfuYypy+ +nMUjjI1A3gj9U4Ueawg/A523wCmoEH4a+v0C6zyD/DR0jvM4Cj4DX5s9VmNv +rdhTQ/jVeb+dA9B6+H1Z63bAxmvY6sScu4rs8zfBd2J9E7DXm/XURP8f4D7w +F9nPOcli+5B8ZzpUyJz6zL8eeRJ+a8ZvQW9Ub3UDui+GPiOd1RjGDobe01us +ZQljX4f2nceRjc96bRORT4Bvi83bsX8ndCTtO9HdLEJ/BfyOvH1Lb1hveVLG +a78VqoHsGvk8sjZQE/groQaayx4bwZ9H/1LSb3Ie/Dfs7x385Qps1oaqwu9k +rA58FloMvhpqCt8Y6pyyD8l3zoPfBl8AnwLfz29V8EV+T4N/r7iBrZj5JfBd +od3gM8iPIa8XWvYtY81C60TMP4f8BPIhOjfw9+AK8K/5jVN+I3obQ7WmlNes +tc6FqoAPXbb3ODQH2S5w3dB70l6Go9O41HvqzBkOA18Nnltqfih0VanHrmXu +I+AxCc8pAQ/AxnbmboOKwU1T5r+EzoIXRT6rHrIPfxV0Dfxd2FgiGdQc3ASq +Br+HOfXhc9A88F5wg9BjOtvy2Lo641nI/w2uCa4OzQTvANeSLaiItVRhLAM/ +CJoMfwZ5d/gjzH8VfAF8c+g7KlBMAPcCj+dbA5l/EtwFXAm8HP3KKZ+lzlS+ +Ugj+bWif2QcuBg8OPaa7LQE/EPqOtfdK4MdCn8EBcCn4odA61cEp8DD4PNQb +Pg+NgA8VT+Xj8hFszZFfyB+Rz0E+Wjkm8h3o7H+pOSnblK0H9c4iz5HuKOjr +2Geus64B7YX/KvZZ3h/67LbHPkudYUv4IdgcnbBP3MR66ij+IpsN/hb9euAX +Qu9BuaIicnxUzjgOXxf58+CnQ999dfAToX1gPLh2yrK97PEIuBr4VwnrVM47 +9w0gRlSCH4L97rFzuWK+zuZN9O8t9RnpW8ci71XfHAu/Ef3tyLZBp3WmkX3x +2oTXfijyW9IeWoMHgY8k7eMd+F47cA9032buG8hnYW8NfNsi+86myL4uH+qd +9p60l9XofIT8GL8PMX9Ywrn6+di+ppx9knhXh/2VE58SOeuukTzhOX3Qn4C9 +AyX+ptZSAPVMeE3r0f0cWouNOSXOpVNj341y6ivyzcjxVnFXZ3s4cmzSGZ9G +d31k3+mmO1TuZGwY9k6qQIt8ZjqrEGoP/hD51sBruBu8IfbZ3sc36oM/Bg9H +dgKdD9jTUc4pD16Rc23zZOxaQjWOfGtabN+Wj/3M7yrwKPiR0B7mpItdA+2G +v4T9ZswpD/0G2qSc+5QDdWdLI79hvV29N8XOToqhoWNoFb19cGGpx07KFxRT +QvvsncinIm+GvXvQ6Rv7znXX8rHNkWsQ1R490e+HfDry25DfV+q7mpbyXN2Z +YvmMlGWK6W8hvwVcpFwR+q1vih2b9OY3RL4T3YVikGrXibFzr2rYKyOfuc66 +lPPZgmyZcnTC+UOx+vXYsVwxuxe6q8EPJuxTf0P+HNQZ+UblbX7X6T7gzxZ4 +7zNj+67O4Ed+14LvSdqGasd7I89VDfmU6o7YsUo25YuFkX1HPnmQOyvjdyu2 +y3OukVQrLYQWw3fnTe9F/jC+0g3+U+HQPYB6gV3obIP/VGvLuObSPem+liF/ +APqes+uvmgT7heC2xa45VHssyro2V830Hvwhxmayj78qHqE7XzV5gWuEBfBT +8/ZV1TDT4FtBWeR/Bz8HX5Ua6xrWUMo+F6vWzNuWakjVkjdAH8J/ztjwjGsc +vT3VHKo9VAOqFlQPo17mUcbWh56jue1yrn20J+2tTc69jGrKb/nusox7JdWo +qlWfzXtt4xh7Vr6i+g1+LHQGWa+se4Vz2BsMfhX5rIS/uQDcL+PaaDb6U9Q7 +5FybT4aqIBsEHlnkMy0AV8q5lp4ElYH7Z9xrFCCfkncPpl6sCfiHnHsm9U66 +00+Qn2KsbrFrtE9Y75ac547C3mD4w4zdUeQaULXg0bTvVj1Ee3AyY12tSWsr +LnOtqj1PQPYp+rWL/A1963/sqWHS8eFH+DXIp7H/loptyDvm3JuoJr4RvkvW +uaYX8q5Z15CqJVtDzeCbZs3XQX8ttnYy597AMWoX/IqsbeuM38/6jHRWivEV +yKdnXdurp/kn/P6ce0O9kQPw/4Uaw7eBkpzXRXBR0mOX4EdnvbZefPNp+M0Z +98bb1bPC18xZph6rVs5r1Fr3IS9Hvjznt6aY/H7O39C31MO8m/Gd6+5bQpWR +f5U2rx5KvZRylHKVzrgA/mO90dA9s3rnIxn3Bjrjw6rNs+6t9ca75p07riM+ +dE04h6wEvxY7t3ZPOHf0iJwrlUMWqxYHl6O7OXAufzlyrlNOV637xuX6WvWZ +YlX/yLFMMUu1ysHItbRqloXI2yrfYXtdcLl3jV27q4dVLO8fu9ZWTFeuqBq7 +1lfOUO75IXKtrRyk2m9/5FpTNWAZeNnlelc13/y8Y4FijmLPm1D7Av9nMJmz +3Yx8Y7F9aBP8OvVsof9D0H8Jf8q7F1UMUixSrO4ZOTcqZvdRzClxDzeRsy7J ++y3L5/+Sce27MXLvoRpYMVSxVGuYknEtvCVyLlNNPIj5Z7F3D/LWej85v2X5 +oHxRPiRfUg+4Lu1c3ShybaCcrdq2PHLtqRpXMUmxSXtai+1J+s+mxGvW2sfl +3QvrP5Cxefdw6uXUg6oX1Rq0Fv2ncyjtGKZYphhxnfJJ1r2jbA5AtiXvXKMz +/UK+mfd/GfpPQv9N6I3orSin7IR/EpsvJ+3DHyFflHFu0n88+q9HvcbbkWtl +9RwFZf4vQj15osy9x78i53L1IOq1ZkfuJdVzHUa3XuRa6Ci0Qr0NuCLwGxCf +UL4MPHZFZB+Vb+7VfwKR34B8XzrLY9uULflwXeS1Iut+F7h3mhu5t1QPdTDj +XKAc9zB8bWRL1YMGflOqHYoi1xKqIVT7JSO/RdWA/wdeHp/+ + "]], + + PolygonBox[{{4533, 2825, 2646, 2262, 4535}, {4537, 2263, + 3273, 2683, 4388}}]}]}, { + EdgeForm[], + GrayLevel[0.5827684426088864], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmXmQVcUVxu+bmTfvwfDeu3dgENzRsIjGoQQEFKMCKshi4sYoiIIGiCDI +qoIGEKxKFC1LBTQmkooa4hKzKC6AIVVhNIJGkgpqGUQkLAoEMCoIairfj+9Q +5R93ul/36e7TZ/nOOT0dxky+dFJVkiS36k+12jcrSTJS/ZPKSfJfDTyjr52+ +qoLbX2uuXz5J+usbLvqqNEmOVT+n9srEc8Oj7ag1g9R/Q22T1u7R2mH6BtUk +yfqcP2hY95Ton9Y3Vf3jNd9FX6+Y7xT7zNFY54LX7WiRJFfpm6yxi+M8aI4R +H73UP1rtT1Pv+xO1X9a4z/4nVbx/je54QqY7avxu0bQXj79Tf3yV77lMX1ln +vVbwb/rI4x8xt1Pf5fr9SZW/y9QXS4f7w9VvUL+N9mur9a3z/hro5ywLaNqK +pkF8nKvf7VPL5vy873iuaJ+pTZL6nOV/k/qHRDdFdEdpXUltk8YPac00/d5R +SpJNor1Q9+tf8V79KubxsuBztL4n9VVEN1hzP0B+aq+rcn+Lxj/UOUvUv7TG +snhO/OzQ+Ai1v9U3VmMf6Kx1GmsnHk7R3vNqrFt4nxP6RT59NFcUb+NYp+8+ +9Xdr7ibN3an+kzr7ONHkM8sDHpEJPLOetR00N1H9cWp3ae0E9edBo/ZU0c3X +2CLxgSGfIllel3d/vmjmlr1/S+xa4y/kvf70zLzNVrsz5/3hjfml1aaB5/H6 +7k3M+7joYyPPhZ2gS9rbND5R67rp7o/nLKfHqi2rPuqfnbedHpe6/6Hkt0bf +UtHu09g5muut8b6J9YlNotOBVbZnZN05fAHZ0vJ7YNhRU9jb3NT+1zm1Hn6W +Nw36g5dbNXdKxXx2rdhnegdvb4XvgwHbRT9O/bs0flbedzjCY5+g5x6PRv+8 +KtNBg61dHnqvl/z7IKfUdvebsL1Hq62/DTnrCptAX9gFOsY20AG6Qdfr5FjD +9OW07jPp7Ga1q8TnJTqkqYUxA/tDNuAJMtgQ/RPy1g16KYifZvUPpMYWcAOa +rRrfgv9r7y/rtE9L3avoM3vGuV1S415HZKuzL9N5x2vdx/q2YbtqK/Kdd9V/ +O+52TeL9+6e2vwFq90nvo9W/CF0Fjp0g/jeVLMN7M+sMnaOf74nuKo2fq/ZO +fY+rP1/tphaWC/cBD1bk7DuNWv8H9ddpvzvKxrX/IDPxNrnWczt0x1d1x25F +4wW4sb3ke3LfR3T+dO31ocZnhP3PTewj2B22BY/jw7aw/17iaTN+r31WFrwn +e/RIvc/HJWNaD+3/cJXxcGTOOH9t3n6LDWCDrMX+r6nyWvb5s9puak/mrtrr +u8SDim0SOeE79Tprjeg2aL45Z3tkzQTd60Z9jSEn9jgsq8Q0rJ2htWdgn5JZ +sezYck9meWOv6Ht3tTH8uJApsv2xaGcHVp+pvdcWHPMWxdizMc6+7L+67H1Y +C370z4y1Qyreu23sT1w9Jm//OS18Ft9F55vCHxbpnotFu1B7zFf/AexQNNPi +jCfUX1MwRk7QHfe2EiZI719pbFSV9YV+q3X3E3VWjdprNf6RxmcmjgvEhFvU +3y6bWaG1pxedCyyLOLkncoW9asta31n71Kl9WPxsE8/vV2zjO8LORwcGgEU7 +I3aCXStE96LmV6rtlLd+iKftKl6X1SfJy+ovV/8VtX2IB1p7k85dktp+9urM +69WOyRu7/lS2bxAz/5fZ9rap7Sp+U+llPXfVXGv1N6eO7/SJ8WvKxhEwFdx6 +Vd/VxO7UOgHbwG4wvLlkvx9Q63jYLnInZNQ283iD2mfLjuH71Q6qNW7sq7Ls ++U3/Y93tG/yqYgwkHoGD4zP3Hy85nzmgb0piXCfWgNkXad+nyEsy4w8YCwY9 +L52trrIdYsfYM/O1Be81NeLOwejPLBsLvkgto3KtMW1I3vScu1prt6J3jf8r +Nc37qf3yrWqft0tth1rfZ05insGR34u/hZp7uOw57HaB+FlccR9bhg5+wP9e +1abHTmpqHPe529C8+Ybnz1Of9Vn4MX6Br08Jmb+YWX+TRNMzYhB7sc/wsE3i +yBdl49N5ZceX4yMXJY6gJ3TUXV/XvDHp9ZJjy5ay84XVkSd0KTueXZDar3eH +v7MHe7GGuET/pMR32hX5zNWZfQcfArugg2Y/uXTePopu0NGM0DkxkVxxf9yX +e+/JfC548M+SsRGMxL/xbfw6TX2XitoDBeeBzOGD+DL+Aw5NCPycrXbWt/CU +tluMTwg+iTHEGuRNLvlk5J74dKfYc4ZkPr2F6XqnxqMbxG+XOFdQcxh7Rkfe +0jLWggkTa50Pgz8rtHaXxl9R+37B66G9uYVpoK2utf/ix0OKHuuhvaeKZkPR +dNgfckSG4CIyBgORK3GLce6HLPB57H9xwfYwK+ob4gq52PD4jc3uCnzD17eG +vy8pWO/7wkfwAfT+ddH4+nSt40BD1A5N4WfsQ94DT0vUbisax8Az7HdS2PDQ +1Lb4Wcm5L/GEXHtY6hi+sGTfyhfsOweij89Rhw2NWomx2qABO5HDzeHbjwSe +kAMOiDxwVN6x/HDuHXkDfk+eBO40Y5Ml53t7Ks6DoF+Q2BbBbWTOXXuFvxMb +l0Tc+KbgNdCDt2DtXO31XrVlcCc5k+54g2g+1Tn19Y7jxPMBUbfCJ3H56ait +ZgbfxEHsoCrqPeLIDXEWOtwZ8r84dWy5p2TeRwUNvF8ffTASuSHXT0rOYciD +XgusOJVYn3d9CLaAre/GXXbnba/Y6kcV5zGbK8YX1rIH9QF5EjkStjc7/O72 +zHks+Sx2emzYKvLDR/BDat+GOBd7PDpvWT8g/par/0TJcgT35+Vsh/CJDRH3 +2LcxZIg9gJXIZ0vUbMTO90IX2GY54uyE4BO8uDtz3loIjORc8v6FqWurX5UA +JvP2F/V7ps4Fr9e6c1JjYN/U+P1CxAP8lXGw7cibBTj4UsU0L1IX17pWxW7Q +CZiD3snVZoUML4o66HA9lIvaPWdZoCd0dGNgIP7eJmp75IlfEPvwjf2p+++U +nQcgF2RCbntN5NfrS8arVqI9P3WN3S91rgfmo7sxYVMzw5+ILfjUpHgnwd+H +i/9VvKWgK625K2fb5gx8kXqKfPNIzdqgM85S/6rMNsp+xHRiLxgIFi6IfSYE +DhyM2D08ziEufyfqilcy+wFnIc/5sZ615CV3hX8vz4y3beWX3TPnxo9lpidP +JVeh7uE9hJy8ueBx9nlEoH5IGPRlwRg5vei7jog3CeqQbZHjfa62UfMN6o/I +GafBa3AFm18duE39MwO6nPedWbTOh6Su9y9ROzC1Xw+O2qIx6gXsYW7UeNj3 +2+Eva8t+T+hctr4Z4+0IPnqETNDVypDjxIhjzF0pe+hb5xrs7Dr/pv+g8vbv +17nW5Y2Dmnlx6nxwYtTJ0zQ3tOj85keibW7lMWqTWQXjHXl3z6jXeNdCvpy7 +ON5PupLDS87DS64vfik5LteeSzPXDORD2Hmb1Dri7Wpl2B5YxNnwwBn42LDw +l3LIAVmVow6i3gKz14dffBN2hy2MjHcaMOFMap2ifYqPPnFnWawrR547P/ZH +FvdF/Fmlu6xsaVsgV8PmyVVy8W65V+1Y3e2Q+L+7ZL8+OWrGiZHP4IPYCPaB +nRwt231Isu1Ub9k1h33y1tIr3luIDdj862XHWvh5o+x4QgxbELaNDuCf95yO +8bZDjOoXcQo5FovW1zGZ31lGZvaJ5lh7Rd554bUhG3SNfHgzIJ8jl2tb9lr2 +oFbgvuPCRrEf3tg6lj12YmZ+uAd19ZoWzktmRT07O2yJGPXHovOqRVHz7okc +Dlw9U7L9eWaaR9X+InOs2Bh+/3zokX1nB8+tM2N0m8z5EXkSmLw46mn6+H1j ++D6xkXtRw28sOI8lN78y/Av8w+94y0FX8H16rMVOB4etvpU5l/obtVrmN9AL +Mq8bEmvxfeIf/k8tSr7VXjHijNR10ZjMts57D3aI3roFtsBfY9jV5ojp75Sc +E1GHUWcuiXySO75Zcg7NWw5xZlHIltqXfJF4tyb0z1lgFv7ZK7BuSeDb2thz +b9SEYPuFZcegleGz1EjdI3ddmTr/WJUaxzdHfnR7xW8+d1T8mxh7S9SVy6O2 +nBe+h99hY9gS2E8+QXx/MLV8wARkRI7fKXL1NfKnccKsKbK1DvhhnWsDYvWg +eNv7a9gndjpW8yeWnOOP1QZP1DnPOxjrj9QVk6IGOarecYp4NbHsfIX3g5ci +HhGXxmuPU0uuCbaI1zai/3fq2mN73Jd4gk1gU20C0/H9v4uHg3W2p4MRj+dF +7J1+JCYmznuJxRvDF6g1eU/tHW+nn0oOc7TPPS2c/8E7mM1df1jn+67X2u06 +520wuYXfdL4K/1sbur439Tt1db1xGtvtGzXR1KiLkA9yQkbkbn0if+uTGlPO +So0n8IKPcqemsBl8Al0Ru16O90Zslvcbah7ySWqWN4KflWXvf7/ajanfST9I +XaNje9ggsiuGP1LTN0XOQZ2A3B6Kuh5a6kfejagFqSn3RG2JDW+N8zkXvMfX +8Dv0PyPsgtqaOWICssAGyBU3l1wndEqdv+cjh+8etOy/reT6qLtotpbs+2DA +qKhdwHbyX3REfEN2X0dNd3XE30rkVgsiTwNDkSHz2FslYjQ2yF7kjmAm+Ivd +kBNij8QY6HbEOs5oE3tOLjmWE8dHqF1a55x7mdphJeP6abKPH8t+2tcbp1rH +uZdGvbUl4ggxBJ9fFXYwLXJK4jN2PjZ8HR7O0f5TWzlugyXYMXXHFfFuAaY0 +fsuHriDXqPMbDDEWLGsI+bQJ/yoGjt4WeeSWOKtJayst4w1d/ddbWceLwxfA +TWoG8u2BsqPazPn6oYpjxPS4B3uPjPsjpwtLltXIiLlbKrZVYkz3yPFzkeeT +M34VfDeFfLDb+8Pm+V8TPJ5RMp+X1PnO3BfcGlwydq0LHyXmIlP4gzdyw9ci +T/s/Knea1g== + "]], + PolygonBox[CompressedData[" +1:eJwllnuQ1mMUx599d9/ad9/9/d7fu+2mzaUyQ6mQay5FaYtq21zGbLlfKyZd +EDNILhNhMQohcokxlLuldiMzdoWGYlxDl2XbsiypqWwyPl/fP87M9zznOec5 +z3NuT5/Lpp89LRVC+AgqgobmQ+hfGMKW4hDWgdcnIcRdQkigDeAzciFciMKG +ghDaohDOjUN4i73LkB/D/oXIZ6D/EntOR/Y7fDt769MhzEd/GGuPITs2E8K/ +7C9irTeyJexZjb27oF1dscvaicga0X8HxwZjsx/4LeSFnPUb8kbk30NrU/bx +B/DT2Kwvtk/yrRx+BLLD0C8Dfw61FvuOuut6bLZi/wPO/x68AqqHH4C8HvwQ +Nt/mrAugEeCB2FwFngKNg6/DxqPsPVo+IFvBWjuyhdiYh6+HYmNVyj49w94b +Wfuxq3UeAb/DWifyr5G/C96Efjf8XYr8TeTdyywrzoZwFHg2e95j/5usPQm+ +CtqHvSs4czS696LTCb8Y/WfBP7GW6+I30lv1Zv/klPdMArfh3z74PuzZiXxH +YtyO/rXcZ23eufAd/MWxc0C5oDf8DNnx8Behv5H328Z5y+FfSPkNGsAr2DOD +/W8gXw4+KXFsN8EPBq9MHEvpSHdR3ndTjBXrn1krB3+pM8B/QAcoN+A7wLuh +ZnxbQz5leJ+70dnN3Say5xRkq2LHZj9y+/3YNmRLb7xZ9lj7C/0e0Cvga6B2 +5HXwr+PLZVA1tmaiPxfb60pCOAKqxscxUG1pCHuyxhX48ASyQdB4+L34cTP6 +J2KrBboF3IB9RP+vNYKb0e9EfxyL16E/E34o/PHgx/HjI/irspZNw+c54D9Z +uwnb97F2ETa+LXSMf0wcM8VOObyc2B6JL9tLvbeGM9qQ/4K8FdoaO6aKrd64 +Bf3F3HER/BLufIfsldqGdOXTY7HfRjXZgP1O1vZnzw3I9+DTrazdXuSa68Z9 +B+Rc24NYGwguQr8feBo0Ff556DfsHQjdFvstvuC8scV+k3TesnL86QLey/6K +tG0cDO5GzNvwYTp8GfhD/O+Z9h111/ew1RP/ZmFrENQAXwl/PfgI6Bv2fMbe +w3Uf1SM23wYXQXdErmHV8kbuU8X5V2cdE8Xi+ox7hHqFdN7NueZUe6/gw328 +3xL4pwvdQ9RLVNOqbeVcB2efzNpm3mcC8qHgnXn3RvXQHeAWbA4jD5rZs1lv +BbWBX2V/nWoVGy+DX4LugZ+XGO/Bn1/ZWwl/Kvpr0PmJs+9XDaZts3vsmlHt +FHDeDfA9Eu8dzJ79wT0T4yegm8DPRT77Neh++L5QLfk8QjEBD0l8F/Vw9fKN +0MmqV+gAZMPxabh6lXIk5xxQLvSCeoDvZc9S5J3w7fA98WlR2jYOVK3rPQvc +A1KJZ4Jmg2Ie4GuQjyQ+/xDbpoxj/3iJc1M50FjimlWtHglfRzx7oTMr4z4V +Je4VfbEXqx9G7vWToWr4Ubo/Ohsy7jt6E73NHPy9RfmYuDc14eNXkXNAuXA+ +NBy8PXKvvhw6Q/0H/hLwxdAo+AGRe716/rWc0Zlz7ivnlfunJu5tyhnljnJ5 +ZYnvopxWzip3VcOq5arEs0szWLN4ouKf8sw7D/yw+i8yfQIeAR8KVaX95nr7 +Y+DHpZ1jyrUFiWf5NezvB98/tq7usBDZaYnvqhxVrpYqRvDref9a/S1y7gWK +YVPkHFWuqsf+Av915LdTzpYn7i17M+6l6jE51vqnPUM1S9ULX8w61uqJzfhz +Tso52QT+NfKs0Yw6Ad3xiWP5APKaxH8C/Q2qiH13cEXeWD1VvXUb/s0v9Izc +mvOM0KzQzF4Gfi3v3q6ZMRX+QWh0F/9pCrE/NnGs53LeGPCWyH+nC/Q/wt7B +sbFyvhe21kSelZrxmvWzc84t1YxqR7k3nT01GedgNnGu6o3XsX5I4lpUDDfB +b408m/VnOy5xDaoW1QM2IBuDzbOKPDM1OyNyqS3rXlkM9c25N+oPo7/Mat77 +74x7n2pmSNYzS7PqOPgr4adknbszoMV5/w3153sKfDRnTCpxv56IfD6649lf +Cz6ItRrwhMgyrY1MnGvK0Q7WJyP/EJ2p2JyZ8SxuKjXWTD4t596iGaRZNBpq +KfAdx4ILy9y7KonZ7NizegH6EzKe2Wdm7ZN80Vqt+lfWd9ObV+bcqzRzNHvU +a7ZkPUvUcz6JnVtT8flT8OS8sWbAFPAhZe456jX7lbnmVfuXQn9y1p2JZ69y +eA5n3RrbV83IDvS/iTwLVMMViXukeqVqtBXZ31nHULHTDB2Z9+w6W/027z+u +/rqqoQT9bbH/AspZ5a7edlLWsdMbV+esqzfUW86KPSs0M3ehvzp2butP+TF4 +VOy/v2rmUfafnvhu+qPqr/of9nKrRA== + "]], + + PolygonBox[{{4491, 1135, 3403, 3220, 4634}, {4633, 3198, + 2651, 965, 4490}}]}]}, { + EdgeForm[], + GrayLevel[0.6735746157422849], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmnu0VVUVxve5557HfZyz94aBPFIzTCs1FRyNUYL05GEpIFcDLj6GVqZG +XLJCRxbiFcFUUhAQ4q2g1T/VKEFFUcxStJBHgmT0EF8JF0Qeahj0/fim9ce+ +a52155prrrXm45tz349c0TFqQkOSJDv1p6i2R5YkZ5aSZEstSZ5tSpKtlSS5 +rJAkv1L7op5f6hlRTpKX1Q4S/XLR3B10W4MG+nF5kgwQz+1pkqzR+/v0DNYC +hxuTpEk0/1E7QW0f0fQW/WjRf1L9Vq1/j+i2692nGizL39Xvp7Xac/fH5p53 +c9lzfyJZl+r9c/Uk2aD3Z+uZJ/7XVZPkqorp4LVWtCeJbpHGp5bNA5mRn32N +yb3u9eJ3nZ6PijaVPEdE30vjPfWME9+Cfs/Ru9763Vs8eonvEY036/eSxHtd +HmcyV/ufr3dDJNtDan+q5x7NWST+P9U+l2l8l5696nepfUrPavV/r7ZTcw+w +P8m1VrwGVDx/k8bGaJ2v6HlTdHtEf6xo59Z8dos1NgPeoq2qXZK6v1jtDGg0 +b03m9d8QzwtQAJ1zS8X7mCya8zT0O/G5TGtfpPevaW5HyXucqXc3aX/361mi +czxLY/31rNL7rZLtssTyrdH8VVrjcbWniO5U7itxe1r0zxXvPxa8l/dE+yM9 +I/T8Vmc8Uu0ave9oMP+u0EPu6tPqb9b6/9Dz1Sa/PytoVobucNfIxLtZ6q/W +u9O5L/X/VDYv+Jyh9nQ9tybW+e1xd18rerynaGoNprs17nd76POFGmvTs1bn +tl/PevXHJ74HZHhUc28uerxT7YKK9WFe0D4f9KMqlhuZ51e8FrrNmaxs8rnc +rr18ouQ9bIi58D5U9FlcqfbG3HdyZm4Znw05r9a8RGd6reYeo7EpehaL7urc +5ztU+nCV+u+L5zdz22dV/cWa1iTa6zW3s+wx7PeuxHbVGTb4vugrGj+k9lLs +Qf3PFGx/tzWZ7vmwS/b7DclzWL8nau32ste9M7H/+FX4kFdE+02929Hoe2aP +XdrLzJLHsc8jISfyMO/XMfdx7We36B5T29RN5yr6dzLfN3Z8jNrDuc/2c9LP +9WXPRS+QcX7Imatd0eh7b9T7YsX3jP+4OXzIbPEYVbVeQnNA799vcLs/+Lya +2jZeSe07dzfaf3al9olfkmy7Up/jF9S/Rc/9kn+62oON5gWf61t0pjXbH/oE +/0Na64vNSXJNzbZwIM6sf+L9cw5r1f41tQ98Se06jT2j5139XoifQzcTnyvn +uyPOnjvgnIdq3avFf5j4H9R4V6N9Mvvoir08oDV+iK3qPM8QTVY03yna740V +/x5btm4tEv3xoj9Ha52Q+Q65S/QN2skVz92WWoa/qO2me3xN63fvZp653v88 +sU/CN+F7v5raR4/IbZOnhJ+5Ru+/J9n2a79Pch569hW8F85rV6Nt4+04D2xi +d8F+46zcfugi7Wt02To+W+OdWvcmPc+U7SvwE3MTy9U9ZPuu5u0t+GyPE582 +0V6q9mTJeZr4fEztLHxqxJcb9btT4zfrTC6QTnWVbEfYzoawH84aeT+LnxX9 +JeqPS70+fWRAj5BzmvoXqr1Fzw3qT9Eelqu/XPRD6xGP1N+pu52q/nmS7YGS ++98W/Ta1FwfPctG+swX/n5rnicS11Pp+rfpXiOY3+AB8b+r+g6kf+g+rbS9Z +prZG6/gKPdske1+9Ox5/pnZ/zbGvW2r7YxwbfLLR98qdDqo4phJPB6o/VTTD +i5YTGmT9l87xQ+ir2o2p97NJ7e/1/E79P6S+w/ZGx3R0bUfo9sGa9z5aNGeL +5wA9P0hsQ9gWvvrWgt8xzn1Cc4nGxqeOGY06k+PVP7ERxXC8YA/EBdZ/MvaC +De2Ku71Isk7UmYxV27ds/mCMo3qhZ0vBcrXHvdCOC/nRe/oHJPuqiCnElsuL +ns/cIaLZIb7D1B6bOf7+XfTv1B1L3lXbN2wTGz0u5GcfwzVvYMnxGr0FFyEb +be/o95WNzqr696tNtln85IT4TZ974/6Ia93DrnunxlYXl72XcWX30QP8cLvo +vy76cyqey733DNvBn6PvzJkdNjglfA56OrRs/ce3MI5tshewLGe+pOo+Z8HD +O/YIPhpWMkZij7PCTsFgjI2J2N1RMb7AvkeVjZ/wox0R0xnjHfM4v1HBH/2Z +Gec2M/jTZ9/j4hwGBKY9quclyzYo7h3dPdxgH9jyATar2DcdDswLDkdfh+bG +fmDAQpPviTvC5rH3KaljdVPEa/wPWKEr9jEx9rixYNyG/ENENzjO9rjM432k +P/dp7hiN7xHt8qpjPL4VX4l87Gtd2XIyRlyABgwAHb+JEdML5n9MtKy3ucH3 +OSTWJZ6Mjbno9ctl7/Pp1HsnFwFPTQhMhf4sqthnEJPBt2BWsN68wHuD0xjX +3LKeT4lnSe2ZZce2XyTGfdgztsy8+cH/SGb92xu+i7n4r7awRfzSpTEHeuIw +PNPAv8g3InAwMuLT8NMDQgeQfWHl/z7v7MCBtAMiRsDvzIjBA4MeWuxnbGDb +fkHDXmj7Bz25xoLgQ27xSY1XivYnbbFf7m5o6Bj82gMbEx+5d+IOvG6MOI5t +jo7xyYEHfh76MyzutI/aczW+pcF+akTYV6/cNHfUzYv5xFN8CXeKn12mMxxc +8pz1wQccSBxoizM/I+7o9LCnhXGehzPnI9fXra+jw4csDD2BZlbJ+o9Ng/vA +tdgI58k5HGkw37FxDsw7J+b+MzVOejk1Lm6rOqbTXhD9pZJhEjwkwxNaY2nR +eGVYZhyyt2b/saxqH4J/XVh1/vlY0faG7Isz45uFmbEOPO6OXHVW0INp4Mn4 +wrA3bA38y9lxbmAdMM+S3JjsvaB5WryXEe8aHJvxzeSpe1Kvt0TrzsqMacG2 +r2vN58Xzx5q7TLyOE83k3GvvC3wFb/jBn3PfH7IhC3PRB9bhfHj/Vuo5K8DI +gTn71a0/5DvIjx2sDR0Gs66JPIicbGXoMLkpudTqyBlXxfiVuXX4hNx6siHs +66GCaxTgn4nh89GHtpg7KvwutoFdLAgZsN2HS85PyUeHZM5T99RMi/+bju1E +3Cf+Yy/PhP9HRtZGh79d8n65E/ZMH9wNLfkXfFZL7m0690fUPgS+qjourCna +F3Pf5Csjq86HOGt0h7PtUXYO9Onwi9sinz83MyYmXyw2OX4QD8/PjHFPqzs3 +Iv8BC5KX8JvcBExYjHGwNpi7X2Ceg4G9kybz7RV2Rb55NI+s+h3j5FzUdLA/ +bAY/3zNa/D7YlxxsVOyLvL8j9J3ceFjowB2Z8TH5Fjko9kMeynmwHvEd+5gY +tgN+JzfAVqhL7InaBPUTMAD2SH7G3tk3Pmhj1Gg2R33iyvCjp4YvJRfnPq4N +vf8gD0MfvtRkf3Je5rX3SU/aA+eD98cFJpodNvKnsC9sZX30F4Tc8ITfutAx ++oOD/+om/2YczHsg7mVX9PsHbtkU9Rkw5JbQh925+Uyuuw50R9V1B+Ic/hgf +CG6gxoDNU9MaEX6dsSUxzvltjbN6I3Wu+6/UZ78ndBOMTJzFl1M3mBi52YnU +AMrG29jr6MAbb2Q+g1czx6U88nfyHvrsndxjWsE5Dhj7xOCzVWfdX2tMyozl +8YFge3wLecSxotmV2Sddob0fzCzD9+v2rfACv5FfkpOie9w3eSh5CVi+b6zV +K3IEcoWTQgZ4LMvsZ+/NHE9Oj3iNDyLnR25wES3455iy7ZYYemer7r3Z9/Fa +5nevZKYHa7KXSXWvR12kPWIWcayU2t536Ax6lT0Xnj2iz5mWgwZa8Nj0kOHy +uue8njnm7Iu7A7tMj3WHxjr4xkmRi6PDd+bGu31z+zN8O/5teOa61YjM+fsT +kcOPDGwET+IlvC6UPPeI7hHRnKKx97SHCeSZmX0v4/jcjsj9lwa2HB7nuS/u +jPuifTJodovPJWAL8flyZv37Sma9GBky4A+o0/Ebn4Vvwi99p+a6DPZ/TuA1 +5B4c5wqm5Ty+FmfyRGabWFmzTG2Rs5+fOl/eFTl6W+Tm4EbwEDYO3ukTsRsf +1yd0lbj6bsRu5l0YPNcriC1oNh7ZHvV5ap7ET+Z+UDO8NuoX7YHRiR3kGeQb +1GuwiT4RoyuB5Yld+Dt4IAP1Quo74HR0vG/oOfkOOsk53JYHnpFOLs2dS1Mj +OSgZr2g1dhmT+U6o91MzoHbAObwc8eCewDDUAfGJ2Arx52gdo+A5+C7GVsTc +AWGT2OOMzL7w3prjD2fDfY4vOe6ik+jU+Kg1zYv33PXIiBvEnZ9lpn+3Zhkf +iLVuz4x/l9Uc45gL/t+fOX68rv326ebvE7fnthf8Nv5qjM7hrlbH9fmRp+AX +iK2Xxz7farb9Y/tfV/++FtdLyRPRr7lxVsQRZC5E/kdsJU6R+0NPvRDfjS5S +s2ENYvdL4j2pxbVj7n78B2dSMbbGl3GW3Ck+8Gi9sMVxd2TY8AVqXxCfLzQ7 +lk/LfDf4lWLsh70gL3aBzNgDsoAfb4pvDsQQ4sLskjEb+PzukrHcuNDBORGz +4Ek9Cj16p9m69HH5iJXMCT+PvmHTj9SsC1vq1qEe4ff+5wcLrqNcHjwXV702 +NdIPpf7e0if1HqBB3zqzoBXv7nXnpOSm12l8nub21NhOyfbhFt/JqogdYDZ4 +zwz+jE0M3SOeLot8p6FqvWT8hsy1h48EluwIP7Yqvh+AJc8NnL8lcnVy9pMz +39v0sEfw7aw4T7ABMlDHoD6PnwBnnVWy/NQhZ2bOv+/ju5n2cX6r6whPhS/F +v46I+hw+E0z6cOwRDDAsvh3dVXM++kfJdUKLz4Uzwe9RN8SHUYtqKrnGyv7J ++8Bbh6J++G+1L+ieizXnV/jfYYHBqFGiy/syYxFwB3eE734v4kpnzfe1Unym +S4ZyzTV+fMahqBXwvY4cnxx3Z3yD41vcLVp3V6vzQ3SBceL/WI1v0PhfJM+i +3Dhyce6c4OGITSvqzq3u13pZ5lok9W++5cFL05O5kmdOi/0159A95BgU+Sb1 +gw015wst4vF2aln5xrhbDN5sdY2nGnLB8626/fSDNdtlV6ttk3rA3tjjaZnv +6FS1JeJTi7+bnt/kWh7rbgycyJm+VfOeyHX4XnFdi22XGAH2xs8erUuVjDO/ +GPqDHvUrWbc+G1i0X/SxV2Ix33qIQUnoz3DJvLXVfhOf9+Wa/Rj+CT+FXZCP +En9YAx5J8OnU3C2tzi2IU9AxnsRc+vty73N/bnn7hcw9M8v5otar1+0L7hDN +xzPr5MfAX3XXFmdo/B81n9FJmfOAUyIXoKZHrRW7BVNil5tyx+z/xDcRcPjA +oOHOwJLkod/Kbf/jc9s23we5e3iDl6H7fMQd4g/4F8xBTPlbzbVOasCcL/wH +RS6ArbPHemaetczfg88LH/Ns3fnLuroxAv23I2cinwKHb86dkwxSuzPq8NTj +qbNSw2Rt9j0w7hf/jZ/C5zxTN5+nqYfUXSPfXHdcIj4R6/nej29blDn+d8X4 +jLrrDhtz1y+JFbwj3+T/CchxqKOvjnyGWhlYCr+DLtzUbH14NLe9PpbbNrCR +N7XWnMx59ezM32XWR30Af/PnZvuczWo3NRsXoEsPha7eUHfdrSE3xgOjgA3W +R+7I79/GWtgl/nJqYNSFUbfiN/Whp8Kvoo/YCfc1NfKEaYH98CfgP3zMqpCh +I/pg3SHa7/Eoks7pnZqxN/UV4irfsImtL8V3w00183uuZJ6c2bo4N9pno98j +6gfEkaN+KHHtYnndcq+oGQOhk7epnRP/a8H/XCwO34sPptZFjk3+Ce5nLvvF +Zsrhu5ZnXveM+v9lAg9Ti1kdNRP88bRm++SOqNOg38+F/Mz7Ud35cFH467/V +OZab + "]], + PolygonBox[CompressedData[" +1:eJwtl3mw1mMUx59b933v+76335ZRotuOkFEafxhjV/darqWSShn7kmyDytaq +Gi2YtCB1u7o3xh+YYZIiIftaUbJGUeTepE2kfL7z9ceZOec53+c8z3N+Z/t1 +vvq2fre2CCFsgsqheaUQ9leG0L8QwsGKEFpkIfTKh/AcukejELLWIfxcDCFi +02FJCL9Al8KvL2MdfkvKOvi1rF0Zh3AO8gEMP8L+s+FT7H/TKoRx2GgDjeSs +r5EX5L02GX0z8lT4Gzn/Cs7vj+4C9o/h/MewsSTHXZAbkBegf5m7ruC83vA1 +0Cbwc9FXw++CarH1QEvuB59nzz+c2Y89s1g/C3v7ud9k8GfC/8bZ3dAXi75D +e960nb0F6IjEdx2NfnzRd5avvuTOlxTss/Ow/yJrG9E3sWcvNo8E1477VeCP +8WC/xMYosA+y3ht8Tu8C36A96CaV/HZhOrH/VN57OvfrCD8Z2+XgX6jwnibW +jsDOOuz/Dv809B74e5H7pX7rWuxdXPCbRyGfzP7FRb+hBrkP8grx0JvsaWZ/ +Fd9zJXxH9Ndwpy7oyuQP+E8rHRujsTcYzO3gF3K/QaltzUG/qGibj4K/tmRf +bAC/HnlCyW+fj1yD3KnStlsW/bYplf42euPsSvtIvpHNcZxRz3nLsbcKf56P +fB1yM/etkS/4xhdhuw7bbdBvYu+GMsdoH77fbjBd8/4mI9GXx47lDtjrgv4Y +5Eb2LsXmbLAPY283+4eCfwT+azCbiZdevPfxyD6Wr/eB2Ys8NXIsDQJ/Pfgx +mX1ZhzwWfk3mb/WZcgT+Kfa/xVmroOM5exHyB/AfQT2RmzkvwA/TG7F9J2sH +9RZ80Sx7rL2J/ZNYy1LH3h2sDSw6BpWDysUazjsM/K/Y28P9R2B2Iri/0P/D +26+Hnof/gbWPsXcue6qw9y74t8G3A78SfRO0A+yJ2Lsffje0D3k7Pvs2c44p +15Zw9gH4idiYwP4r2D8hNUZY5ex8+MHYn4NuGJgh8GfE3iubsv0aa0vLncM7 +wXdgbWK5bY7V9+S+l2svdCny78gDJOOvMzivnWpU0TVLtaszNoZw9wbOPxpb +nTJ/q0XIRyKPie3bc5Rb6Hpm/nbT0X8S+QydNRTag9wOm0+hqyWme8D358wR +nH0rtA99Xeba1AP8QvjN6NvkXSOv4qwEuVtwTKWpfSrf9oTKwOegk+Ab0Tdy +9hpoQ7l9Jt+9EzsX5BP5ph56ErmeO7WHfwN6Bfkx7pPAv64YRve58o77juaO +35Fnc8HMUT2Nzc8Cn8aOKcWWMIPYOwCaB/8k51XrrtD96G8B/2zqnFBu/ABm +CNgboP0V9rl8v1P1Fvxu9u+CXxS5NwhzI/ppyAcqnNPnoR/K2k8Vzmnl9k70 +O4jPO7FRi74O2oU8EnkhfGPqXNSdFsMPznyXntg7FPnvxLkun+bRbURu4i7N +0I/wAxLbUs7vivzN9e3ls9fA342NmdhagBzz9lXg3yp3jrwD/1NiW7qz7n55 +4thWT+qLPA75QeRnsNGR/dNj52ZfqK3ej1wNPwnM+MQ9Q71DMTY1c8wqdlfw +hg/hB6SOtRas3Zz5m+vbq2dWId+DfHzePWwbfBvwvcCfCK3nbcPBlBWcQwMT +54By4XXw78N3yVz7hBH2ssSxrxhcDd8ndW1ST+4Ofg7yqznXUNXSJYlz/yXw +r8Avy9wH1A/uih3Tiu0MKiWOUcWqfCxfKwYVi/KxfD2WO2+tcIzPh5+Vular +RqpWHgt+Wc530F2OTpx7w/ieyyL7XL5fDE1CH7hPV52PvYPIbdE/jq431DZ1 +z1Xv1doo+O3YaCrzGXM1L0Dty9yDt6WuoaqlWnsZ7M+sPRSc87/A74jcq27j +m56LfDf4bnn3JPUm9QD1goXYaIBfF/vuwuxBfwc0LeecXoFuHvJK5OHQxfAf +x57VPkRu0HnUpcElx6/ieA18lfp3wTPBlNS+UI+cDH9JalvKqe34bjj3ra70 +bKCeshp/bSn4TVvBTs+cC6phsyPPCns4Y2bBM8O0zH3+cN5b4G4zMvdm9Zjv +I69Jpxrdmnq0t+RaqniXjaNS96LV4DeC7w5mUMkxtDzzW/pyZij6TR0qPVNo +ltDaFyXPnJo1NaPVtvIMo9lFM14r+Rz7S7H/OfZbYn8561PYPgPdUcgXlv5/ +Q2vPTn+U7EvNUCMy514d+IHgT4jte/Vw9XL1cPXyer5XI/zTkW1r5pyO/l/o +uLxzVLmqnqXepRqxLXJOKDcaoHHotySunerhW+FPyzxL6JvMQP9X5FqsHqRe +NDdxrVYPVS9dG7uX92DPAeVq4txUTV6auAapFqkGqRZpRtCs8IR6Dvq+sXn1 +APWCrrFrlXpuLfoPYtemoHhTP2GtHt0M1p6I3VPVW+XjB/TtE8/WwtTB70ic +i5ox/kzcA9UL9Q9yH/j3Ytcm9Qj1itGx3yIfypeqKaotmmn2arZj7Zicc0a5 +U5n6W2sthv8qcq6rJqo2dk79r6GZuwv8usi9Qz1CvWJ+6llXM9sC+OrUuaya +8AfYkalr6ymsHSJfpP4X0Uz9BvxF0E0597ALVJ80M+c802q2/S7xXs1036o2 +Rq4FynHlekPiWNAMqFlQMafY0wx+mf41UueKbHZXbEE1OddM1c7FkWNR/wj1 +6DYn/ncTpgfyc+iLOdfEqsT/WPrX0j/czNTfVN9Wb7gQ+T+8hvZ4 + "]]}]}, { + EdgeForm[], + GrayLevel[0.7643807888756833], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmXu01mMWx3/nfd/znvec0/u7uEwJS5gZRDIjy20tzGLGnZhIKKcaxhpE +DqqJXJY61cll/nGZIqJYXTDWrMIaZKQsKrop1ZihqFwWlZFBzPfTd1v++J3n +eZ/Lfvbez97fvfdz9h9y7fnDSkmS3KI/ZbV91D6nzosNSbJBv7frW6XvBY2d +obkVGh+idoPamzU+p5okT+nbX78HaHyj2mEaX11PkoXq/yxPkgObk2RezetG +6PcJjUmyn9qb9Z2pPW9mSbJSe+7kbLVbNb9N3wz1x7eIhy5Jck+TeRyu8W9F +t0Ftu76nWV81vwep/53Wb+vi894rNKd2mOgf32C60OzWbL75jVxTGi0bcvcu +mRZzc0Kuivoj1S+r7a0167TmAdEZLJ7amvz7f5L3G639vWS6X/R31rwf3jta +zP969Ue1Jskdmq9r/V0af1HjB6i/VHOjNX6t5hezTv1G7f+y0TzcKbqDdeYR +uc9drzN7aLyvfj+q8clq90uTpL/Gb5O8b4rGNaI1QnQ2Fl7/ldoDtO5EaKod +KDpdNT+4wfIzvkT9A8XPVdp7k+YuqFlfP97J9tDhq7n7p+nM4ZLjS523Q2v/ +prFn9U0MnuBtuug9K7o3SJ42tfdofLPaLuLzmUbvYT06GqTvukqS3Fj1eva9 +o/nV3JXWrGn075L4fazs3/TXly0jdzGhwXSh+broLdI3Xt8ozc3Utzdn6/f1 +oo/Rb4712PPbam/S+DT1S9HH1tBTv5p1Bb3ZotNd/Ycly6uafwh7lh7e6mLe +mV+tr1Nr+ue22wvVPqe5efre1dzh8F8yn4zNrfr3FzXrEj30LLz2BrUva//n +ovOS2nN0TtrqtV/G3WAnm0RjSMUyFlp3qMaXS/+3aO0H2jMufPFrfa+U7Cs7 +WzzWqH3zy/bDTRXv/aV4O1P9aepfrP7TWv8L0Tpa5wwtWXfo7VyN3yA6x2j8 +9tzr902tj7tarZMpZWPE2gZjwdPhX9jXHeGT6AEd4V/w8JG+IwMb4K1B7b11 +81qSTh7PPb5YZ32v/kL1V6h/kb7nJdM0rRmjPS9r/DudtU37GnR/W9V+Izo/ +aGyPzDgFXq3R2Cfa26z1o9Reo/0VMETth1q3HZ7UDsd+9J0t3hZobJH2npQY +HxOND0h8Bn30RtsQ43tr//6a20ft0gbTYi+ygmUHBaZtq1r/3CV3Ol39v4i/ +Z9QuEW9t2j9U49/WPT801iDnFeo/pf6VFffBSdo/xvimJmNfX+nmS+0foPF+ +orde32b1/6X2fY3fpv4hueMCuAg/jLU3GbvRQXvo4cffyLRZvP+hYr64R2RB +PuaHxxr2QYu9T+fmbWfd+r4yeF7YaN7wR/xpbdk+tW9h3veRHr7Snq80doF4 +7iCOlSzj2JKxYU5im8P2iE0bxctk0bwMfkS/XLONTNb+qRrbItq/Kzx/icZG +am6Q+jtE408aH6HfB6i9Xe33GntcNGeL/3VasyJzrFjV6HixW/gT8Q3bwf7a +1B+hNbdqfGeD48+JEYPaw67OjFjLGPrB7mepfR6MEo0LKpYHG8eP8OWLM/M5 +IDNugWVgFzgH3s3SmnGaz9TvFvKDicgFP4w/Jvr9qrZd4k038EcytKXWFXoi +/p5RMX/wtrLkNeDuVYXjdD/pY5LopU2+G3SWBn1iAPEYuz43syznZBF3w+ax +YWIHNkCMJVaBvdCoBx10Tx/9owvokH90L1tesB1ZuHt0TmyABtjyBXcszPlc +7YOS7V2NPZw57vaXTturxqT7A5cGp5Zzo+RapbZr1b+nak8Pndtd7U7h3Dst +jhMf5V7zYW6sPDbuaGfkQdDsWzVugG/kAfc1W07w75Wa+dy3apvH9pkfF2ta +CtMcL75+UzJ2gSFDU8cL4sbj6t+ofi+1vURjr6p5nwOWlnwPl1fsJ7t8Jrf/ +HJs69mE7u+4gcjz4vzm1TX+mtt7qOEQM6iIf3KvV8k0UfxPw86rzqTdEo7u+ +Fs0fpnVrao7tf262nrdo7n19mko+brKfcF9zdM4+VctOzF8VsX508NAgGeeK +VmfN8jyosZNL1ilYi6+Btz8X4etafd6owPaduWPg0SHXJ7nP+ji3/uZFLCaX +2VJzrM5Ep6Xue9hzN+eW5Jjwvin4J2feTDynLx7OE50+Mcbc2ljLHmxuYG48 +B9fJi7lLcrDjGpwP7LJVjVeqvjf2oa83E8u6NO59YoPtcULsmxd7n6s5jyTO +Yqfs5z6wha5hD2uDt5WR728I/v9Zsy2+G3kMazkHvXAG+c8psvdUvI+q+Tfz +5DNdpZfDpLNJqX3wgvDD2WX7J77ZvdV2g80QG/AHfGFbk9eDP3eF7Z5QeP68 +8JkzQk/gD/OrgkfOHBJ6mNTiPBvfWlX4HlcW5nFC8AnOwR/2NjtoIAfn9wse +8L/NNZ+zonB/eWFe+sb9cv7K0M8wydVL546UnXQQu8rGevCKFuyaqXtfrns9 +MrXvjY04hS6ol/A3bB2bn63xJ7X+LfV/ndovwXbshvhBf1rIcnqjeWZsWayh +XR79VZE/k0uXw6foP6Fzl8ZZMwMjwOdHc8edGXXLsaLRZ7IWfqh5iOGnNjom +7J06dlHbdVaco48NOYiL0MeW58cZK4JPaLa3OL/EJ8nXsTH8gNyNHBssmxh5 ++6zY3xZxBB+ZE/k92Am2945cYWLc6RWpawTqoTU6a3WL65vr1T7TxXjwpOik +FddR0Aafjo97I0Y+FrgEJs0ObIWvKbnrNzAGbLuwZvyDf2SljoEeNgH+XR/1 +TXvURNRajLGHOnRh1KIn5a61P60bk1+Lu76q0XXpjzlBOe5xU/BLjYa+K3Gn +lchHWN8e2I49/KMwb0vqjo3HRXwkfyjFWeTuo0MuYv+YyK++aza2IvMbgUng +/IdV50bE5bGZ+0elzrO4S/ajH2pT5M1T55cPq7261fUn+uAbGXpZG/jE+wB5 +Ykfw0CfeBfCdbTqrJp63ZpZ3Sch+bt04BUZNiBzxmNQ109aom47Q79H4pvR9 +VJPt+5vI5clzyOHR/cLQySO5f0/NzR93CqbNyH3u9Nw0FgcP3CVxBz0Re+iP +TJ3XjY7cjpwMG8MXDqhYFmQmV6Xuw7Y7U2Mc+Ao+QB/ZmwvXXnvs5vyPPHB5 +5njb2mr+8Lu5ESvXlY3rYDm2jW/vjNwJu8a/4Icx5J2Res0TolevGMuHhd1h +f7Mi38bfS4HNw6Mu2F1776OWzm2fm6NGvT2zLMg0Pup0/JTzF0W+Co0lEePI +9cBQfHBZ5OX9M+eeh0X+SU1AXcOdfVR1Tk6Ntzbyd+qjHfEb+8Qe8V/yzffD +hrmj9RXvZf30sA1shLG1Md43ahrwn5wRLDk+MKN/9MmBOyNnpf7iHHLa46NW +B7ueSK23J6XbzzP73Xm580j8BJ8kn3o93jGIDfOifh8VOA0/5MaT4ixyn62R +R/0qd1zolTs/pm6nZie3Ia8hDrZmruU/q/udgveKqwu/05GX9MidK3ZGvjgu +s15n5fZtfHxQZn+GV3i+KHfNMEDtqYXrrtMK39OQ4IH3nhcjv+c+O6NewKcm +Nv1Eb2LYw+uRW84K2+0ecRzMB+8fCDvpjLqgb2Z5l2YemxT0wdSDm8zDxuhj +z4tCz9An7veKGNKz2W9MnMFbETKwd1zumNGR2w/BR3CJODM43gZfqnv/hsI5 +K7krefRl8d7FOx6YA5bhz9gn98qd8p4IDn0dOdaLsWdZ5AD4J78vi3ezi3Pj ++yC1h1eNIWAJtgnWYXfXZF47XO0jNefN5FQP1Z0v36q2rfJTzkLtvjVsHWwj +VwDTqCVn1Fzb9Qob6527XhscciF/W9Ru2D6+Rk0BLd45+oQNDIz10BwROdI9 +henfXXi+LdaMjJqV+yVPm1YzHoHpHVHHkJshG3LdV3dNORLbzkyfOv6SqE/5 +DQ3ep6BDjdU16qxbot7lbsGtLfGuMbXu9dNS4wwxD1zYPbPO7ox3lE3xfsUb +J3aDj91auGYZo3ZwZnoPZLYZ3h96RDwmLh9RGK9Zz++/1n1fj+jcSzPf08DM +MWJm4MF/mnw2556fO1eYlrteOLXimmFh6jyRd+UtgcnkDJ3hh+iWHAGs4r7G +BEZi2wsyx2viNjU7Mf+gwJ9Lwr922VTFZ47NnU/xPs0b1frAz6Xhm82Zdfl2 +vGnwjgON/0ZO0i8wEDtEn9wl/zMgzyxnji2vVVwDXxu2jY3zNkQ8eJQcrXDM +ey+1TSwI/fQUv4c0GQ/m584jX8mdZxCbiW0LYz0x6KnUNczXqc9cEOeSrzVH +zoYfgL3kDNvLzheJq7xv48PYOzS2x/gNqXOHFwq/C1KnEYNK8T7YkLkGp5Yj +V7k0fBxfBy/AjV32mbuuWxYYwxspb0+np34jXpD7njfFXV+eusabWZgGGATW +XFT47Zf3Y+y/T4x3pM4xyDV+CHxJCuc5RwV2vZ273lyW+w37nsCl18JmsJ3F +UceDIdhTOfI3/Ac/wvaIsx+FT6Hj1+K+ri8csw5Ru2fmvePVfle3H+FP39f9 +fni5+mdV/KZAHEQX3Cl3S55HTO8tmYZkjm1DM9sCtjos8lh4+CHyMepi/hfG +2xL3RozYEXfHHe4RMZHYeFjuGLwxc17BnVLvQ79nnIHvYC/4D29v5H7kXLxn +jw5eu4f9kBMRYz8MfsiJeCvAJoldGyMeUYfxXk8t9mnu96PP1J6dOeYemDp+ +jo8YzRvg5HgHHFP3u/Cgwm+u3eLd9e912yu2D90zw7bvzo1r9+Z+HyQP25Q7 +Rq6P/5PdFryQB4IHpwYm7Ci85t+8Yxeu+QcXfrdJ4n0e3yWPIyZx5+vi/yUn +ZaZzYma9ETOIF9gI2IednJKZzw/q9veTQ1fgZUfEtl3vqyHL/DTqrsz1Hzku +NjA3alHyjFpmPTep/aRuzKA+404PDgzpEnkU+VTX3HfUNfX8IZFj/DbscoNo +7Kgbn8FpsAkZ2wvHYOQ+lDvMbHczI/c+K/K6KfFezbs1case49gp9krtgJ2l +Icv/AXC7HPY= + "]], + PolygonBox[CompressedData[" +1:eJwtl2eMlVUQhs/u3rvlXu5XVglYIICRiIWiRPSPJVGRiIKGjrQF1AQEAREU +QbGwGAX8hY26woKoAY0FCwoimIAgVUAwKqD0sCKyForPy+uPyZ05M2dmvjNz +3jm3edXI+0YUhxB+gDLQRfkQhjQI4bKKEM6Uh1CdC6FLIYTH4WeUhXA4CmEd +dhUlIRyBvzcJoTgbwnzWusKPj6xbC51F3puG0Ab+DvzVwR/F176iEKoIencc +wp2s7S8NYQDB74AvYe0udBuxKYbPY39x3rm8go+f8L8Hf1fCf6G88raR7hmo +PT6W4u8T7Hthu4P8U6gxuu6sDWFtFb/LsemA7TfEWEPsmXzDBegCa63RtWCt +Kbq9nEUvqBH7p8g/fIGYdfj4HVqGPAb/HdjzF3JN6tir+IYe+LsJ+RryPcja +1tQxFfsr5KE6P+QBnGszvvcR4i1JrdvF/sHoxyDvZn9raDT8Ir61Br6a/J7F +vjx17BugauxXQ5+iP4DPSdg+mtqXfIyF/wzaif8833BFJXGhJ8l/LPtXoPsU +CiW2OW+Lj7Xkdis+GlHPM9iOzvlbP4YqyaExufSGTmL7Ljbfc5Y7oQ7ksjVy +LyyHVsI/lvis5XMH9utZ+xJdCb6mI7eq9BnrbBvCL2btTfQv4r+aWBF5jyJ+ +fblr8C37V6LPon8Z27Pod+Zc657QSXxNzbl3tWca+hbYTajwN1ex/wf2N4E/ +Sm7HEvM7+N5D8HXo/0D/DvQB+y5nf5cGPu/zNY+s05nVw29JXWv5lO+t5Lyb +3PZA2+CnkUuMn5nEX0FOB4ixC9ttxBuE/XD2j+J8JiIPg98MXVTqHpqG/hTy +nmLfgXr4TtAh9LWkMEN3hRjNiNUcugR+A7mOJOfHiTcGu7eItxn/W6H2+NuM +nGV9uc4LuY49GXTDoHr8faialvgMdBZnkB/E9wPQEGxrkd8m9gRyWoh+X+q7 +qTuvu782du3bo18DPycy35I9M9l7mPiXljqGYk1Ff+P/Z6vePoq8Ddty8jkR +u0fUK6ORe7H399g63dlzyFdBvbE/QX5XJ76DuovymcPfLNbGIq9mzxz4O1Vf ++Ya+SnyGOkutrUbuh/+B+DpLv14APwIfGeIvxaYv+m6Ja/UP+r/ZOwj9Ceo6 +CP1afPdkz3j0p9CfKrin1Fv65iPwk7B/EX8fQfPhn8NmE/FmcR5z4duy9n6R +bZ6Cn8jaN+hfQ/96wT2l3hoMDYQfgM1h4ndGvj02pghb5sonfN/YWFvPWi/1 +Iz7eyBiDO7L3I+QMfB3fv5L89ifuzUas/QY/hz27gntsLvzbrJ0rco+/A9+Y +b55Hrvdifyn+miHXIHdHbor8a2Jf6umD8KW60+xdTLwpyLMT10aYIGzYSz53 +oe/I2pWaLwX3zlWqP/42YLMMeQvyEvQtWBtHvrWaV/DTU/NT8PEMsQZDQ+FL +sGkIP5/9XYvdM7MLxhhhjWyqYu/RXmGcsE6YK+xVT9wf+wx1lv2R+8CXQfuR +uyN3gf+r4N74jvwWk989sXWqsWq9peBvOYC8G1078llEvhtYq8X+34JrWwUN +UP34np/LPLM0u66N7HsjtAj7zrp/ZZ6xRwq+07rbmomajeox9ZpqrFq3RP8+ +e9+DpusuxsYOzXjN+puRO2bcc+q9udisyXrmH0fXWvie9dq8xJgv7BdmL4Jf +wdoSzve4agp/XeRaCYOERcIgYZFmWi38wsTfLgwSFu0ruJcLUBb5es30rGeM +Zs0XiX2rh9XLmtma3dvJvwn8odS9L8x8gL3ddaZFxtie8G0T39VOyO00u8Dn +dlAPzqgb9Bs+/sj4TulufdvAM0azRZjaKvVsPoS8Hb5b7FmoM9HZHCOng8Qb +TPyu6IpTz6pK9kxAP5S1hzLGlIfRHYusE+YJ+15OXBv5mJH4Tulu7SOffqnf +JmfyzlVvlDaRsVgzcUHima45Jwz5HP5r1k5mjfmbEvfM+d4pd+89FxvrJuPj ++dh3VndXmDYQfmHBbz1h6ALVMnbvC+M2wx9P/dZb9f9bqxX+n874TXdJ5B5X +rx9UTeDnRcYyYYawoz/2Y7K+0/0S97x6fwh0mtj9Y+cmzPmn4BmkWaQzPFsw +hgvL9Y2d8NcmcW374K81/GWR355XE3Mye1+KzGsGNyb3Cys92x+lB9pWuufU +e8IoYVUXbPqWGWN66K7HnjXqkV/hp8bGlmroBfiayFguDBQWqrfWU7NxFe6x +h6ndOuRRpV6bQI6zsn7D6S33auxv14zXrK9OjJU9VR/4provnMXNrLWAb56Y +lw/5Gob/EdB4fD8G9U/9NhTmNYH/MXYthCnCFmGssFY1+4XzfDp2LGGKsOWR +vN8Ueks8gb+N8KcrzOtNpf8Op3N+G+o/RISPl3J+6+g/hL51eN656Jv1Nt/T +wG93vdErYt8VYWi55m3st6Deej8SP4e/iXm/xfWGahT5bXoTOY/TrEp9F4Vp +wrYbI9dCb5al6EdpJmb85tbbe1XiWSeMElb1Tvy2EEYIK/4seHar5qp9TeK3 +kd488/VW1HzLekbdplmbOBfVRLVRz6n3ZDM58TfoW5TDSOyvwX8u7/e2aqQ3 +hd4WugP3wxfF/i8kDL4F/j+Ue+yR + "]]}]}, { + EdgeForm[], + GrayLevel[0.8551869620090818], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmG2MVdUVhs8M987cuTP3nHsGaYUZqEZqQm0tpAbU2Ng2bVMlsUATQEas +zjBQpQIiYMXYqNjCDAyYQFswGI2SgkqlMLWNMNBWjf1F1RawgsOHpj9EsYaE +b4W+z7yL6I+Tvc8+a6+9Pt71sc/l7XMnzalNkuTPNUkySGNLmiQ/LCbJqGqS +3NiQJFfpaRXB8HrPV4purb71ieYJjSv07WhdkjRonKxnvNb/I5rflJLkt3ou +09quivcdEu+tot2u9Ve13ime7Xo69G1ayXugb9XaKJ21X/OezLy36qz+gs/q +lZz3l5NkW1OSXK/3qeL7imiuyf39w5CnR/QbpFS35q9q/3q9r5Isw8R7iZ4/ +im621n6u50/i+Yhobpb8V2scU7UuozW+KRnuFo9M4+hmyaJzL9H4tHg9Kf7P +6vwbUtviZ6L5u9Ye1rwubII92sX/S/pW0vtyjYvrrA+6tOv7t/V8Rc8i6dUr +/mdLlmVS7O8bZF4HNM8ak2SCaI6LZohkqOpZK32W6XtRz07xbBVNs9bPi+aI +ZDuo/Wdz2+ZonL1UcuwQ7SbRTQkbviV9q7L/Mn3fpm+/yjx/TOMSPVu1tlH0 +uxLr91eNzaLvDl2g7Yq9QzXW13rPwYLPxM7Fkm3UpW9fDv/i5zv0PKr5Ho3D +CrYVfCZLtrdE/0xu/djH+au19jvx6pVNVkin1ZKjp8a4uLLR2BiXG0czxGO9 +bNvc6H1gbABfNZZ9T9Fn31UwXjh7v9bGie4dRu3/tdb+IPtsrpr+BY2XCgcT +dd5Ijdek9vtzWl9YtJ7IOmaQ7X9Y89Ea+zWuS4xFMHmTZDwj2sd11n2B2UNF +2w5b3hn2vFU0J4rGynbp9nKdeX2Wmz9+HuAfZ5yUXF1l8+3XvoNF+2tYvW2F +DOiIfn2JdeW9UOszPqozJo9p/FjPPQWvHYu4YeT9Je0dW2/87QxffxgY26Zx +h+T+ao35jw17Yt/u8O/dmWNwgvR4oM7r6P5xnAX/11PHwJ2iebDOsQYP7NQf +tmoR7zX1n+u3JvDwbtCgO3S8g8lNJevbF3Y4ELrfk1uXTsk1I/PaZxXnphY9 +N4jnlqrpr5Nct0VcEB/9svniRucXzqkL/B8NmYmRF/CX5rNS59Edej4Rz98H +fsDRQvntVJNx8TXwpu/vVYz3nsD8ZHCr56HEuCCfYWf8vVg0HRr36fsRre8t +OEZ6kIMcovf/1ngvmAbbY1PnOWRZrvW2kjEHFhjJm5wzNfLQ3MS5e2rJNnmb +/Kv5vtzytcVectDIBuf+nUVjFOyRO9+WHJ21lnFfyAS/acHzbMX4v122fazi +M2/JrOvW0Lc98hj5jFgiptZmju+/lYwB4p/3/+n7p+KTaP5T0XTGOnlint7n +a+9EzW+TTRZI1raqscCc3LOk1jFBHuvW+cv13FXreCMeR1DnCo4BaMhbIwc5 +x2+MHEIuQd/D4RfsgA3QnXo4tMF2xcZ8R2fshm2x3Xu56+P7ufd9EH7EftDP +07wxd/5rysMGdbYDmAN7X9f6isyYpHadCayw90jFeAN3xDc+JAap22ejdv9T +tG/ouSUxHtsCk6+VnO82Jq5P4JectlDnPar5gtx+2xa+I0fgC2xFHAzYNLFv +WD9XsU7YCjt0RV0l//9AMXJJxVgn33Z9of4Vg2alaAZTr+rNB5vOC9yCL+Q8 +nDpn3p+79lAH/p25FvREPSB/vBt5pqhxRcF5oyvzfFlmLHR/Ib6QGZ/+Uvng +fcXyUvmsu+y8TIzuLtiO2HB25vy6TuM/ZPfTOuNf0bO8GLjDh9gQ/vRo7MVP +58XzRJP9wzt826jLBWMDey7KjZ2rctt1Sdh8Zug5S+NcPfdSp0WzrsFxS5wR +u/DGb9fq2w6Nm3PXUHIuvR26Hgl9H5K9vyveN4pfX8m+BjP4d0XYJ4+eAVuT +q1knJ5yPczi3JrVNsA0+XFW2H+mH0K896g51hRxdVA3uk6yFZuOQOVi8Ovq6 +b0a/+mD0kPRHLY0+Ez2Ghy7EVmvMqUf0Q9QpaFqjpqwJ3ZnTy6EPuoAF6grY +oAasiz4TuenR2uMc9pIriLnNRdsNX5F/8Re2gWdvzOmxhkV+JOaJd/RoDhr6 +AfwCnonv7dEbsMacNXLtlMi31Ei+I8OEimOJOLrY67NeK7s3in4QfauequYN +mfM/tZhYouemb6R/fFP23aL5azGyTt5LIxeRk4hRej9i+Pmq57tTY2Rr4OQ7 +OqOss2oy5wfsC2Z/En04/Ti5lvgdEXHcErowtsa8O3Iz9uTusjnuL1coVk6X +fd+oi36A3mBv7hgepXFl1XuvlGwdqXPo81pvS43pDbkxC6bBLf0OOZ9edrx4 +j2vy/eeO3PYakTvmO6LHGxP9IP46lVu2k7l7IHqhROecrxjX9CAD/V2t90yL +exJ6r5KcvZLh8arxtTQwRo2aHTXoZNF1m3w7Xfy/h400zqz3Hexw4Ja81lJw +bQAvv9C4qOCcwHnknCcj77AXeUaK55nc+pzWeC73+qe5fd8bd5sDssn+svuI +Y9FLIt+Fim3GPQBbY/M92psrLq9t8vnzs6ghGidk7nuOVVybqctzRD89eu7b +8VtqGc5FfZwSeRA7DS74jMtS++WZ1HlycvRR3A+ua/IdgbsMsc895rhkv7zJ +tW5SZp4TM/tzV9xjuwMPF/Pb4sgz/RFvAz1PZtmQkXgmhulj7wsd0ZXY2lD0 +fW9W2bbADt/gntHkHrAl+lxwjnzkqfroqZmTr6qZe7njslU5dy/CXao1MHBp +agy9HHkD22AL4gUbDY45tmsO+6SZ3ysaf5y5ztVrHJ+6ZlG7qAVZ9C30p9XY +m4c8yPVA7ppL7aV2XSi7xoAz8EYcr4k+Hj0P5+4nDuXGLPgDe9hyZmB4U+q7 +03MVn5nFubemziuV3HmA/NYatoIeu62P3o8e8JPor+izyIm7Im6Jy0MRUyMi +rsERfVBj1HF61WFxXwM7+AL/bKs6P+zNnLPxO3SDM3+fnjlntsd/AO5I1DZ6 +GfrPsVHj0LMj+hb6SuKLPZxfDhnAYF/kJezNO358pepe4kep6wI1Ej6sbYm+ +lr7gxZgfiP8W9EvrquaVx78Lah05+dnc97tp4jkkc/7oyHz+zpCBfpaeHrmR +vzP++QxRnR4r34/SeEEYf6dsuu9n/u8xPPW4J+o9+DoZeaw9chcYOBHrL8U/ +iYfjzkVdpbemZpIXh0ZufCL6E/oU+tnro+48FfcL7hkzU///+iD3vYcafvGc +U3HWTalthV3ni+4Ret3c8bQ9YopcuTv6NHLnG9HzfRR3aOw88N8l7givV83/ +5tT1Y1HkXmKVmH06dT49ETKA2da4l3L+8uivuMPw7d7MfiSX4EtwPCNqEH0e +sTYn8/+kaqNjjLg8GHca/mVgz2+l3tseNh+4R8adYkHmtb9UzLsjaEq5MbpM +e5emnrNGbhtf/PzfGD5uCzyvDkz/H1zzuvI= + "]], + PolygonBox[CompressedData[" +1:eJwtlltsVFUUhnenMzCd6cyZU8AEig/E+lAIETREwAfUGKOQKNZEWy6GglyV +NtAWlBgjF4FyR6O2SCMBIggEBGI0gkQFeTGKaAEtaaviCyYq4YGWCsXvz+/D +Sv6112Wvvc66nBGz66vqEiGE7VAS+rgQQmcqhG7ooXwIZ+CPoHAYehL+UBzC +iQEhdMEfBC+OQigHL8G4HvwC+k3YpjibBt6Lzsl0CKfha7Cfi856cBLqz4Hh +N2FbDg0B/4H+qJIQJkHz0K+L7HsZ1IXsKfh64ozgnwZvgDaDF0LzwM2ZEKbi +dwV3bhsYwmDOhiGrhfo4342P88UhfM391fjPIb9aFMLzyKvAgbOXwS/JJ/xI +9Dfz3i/xNyfvM8kWQ0Xwz0S2vQQ14788yxtLQ6gg/n5sviEHN8hHLzQF/Q7i +K4OGIa9BvgT7pUnnULkshQbBH0d/K7brsakodswZYpkf+a1p9O8CL1D+wCXQ +He6/wt010FD8r4Ouc3aN9y1C/iy69+FzMr5/5mw0eBz+m/G3HnpT78f2csax +TYcq4K/Dbwa/B/1DDB34qsT3NfBu7KsT/iYfcFc3/BZ8H0Leg/zHgt9+L2ef +Ie/B34aMv81N/DWisyrtHCvXXdhvKvJZE/x2bFJp19RMfI1Hvj/tmmkm3mQZ +9cVdZzhbgOxG7LtVQ6qlXmhssXVS6E5A5zK+OqDD+DsItYM34G8t/n6CViV8 +dki5Qr8n5W+ob/kW8XwSfHYW/nzBtaQe+QE8Cv0vkJ2EWuCruP9F3lrBmxrx +fZz3L+f9E3lvHzEfiF1byulcbC/C/5m2D/kaBT+m2GeXwGsif6uh0CBwrfqr +2N9gVuwcKBfq0fGxa1K12YbOLvBFbLqTrvFF4DXq0ZR9nMX2e87akT0HTQUf +Lbi2uuCPgUeUukZUG6qJX3jL/dA0cDX0Gjpt+HscKsfft/g4l/SZZKrNO1nr +qkYnwI8udW29TQwVmjHoXsTmHLbbCu6FhcSwpeDe6ue+z9PuMdWUausE/B7e ++yDy+RnPi3c5m5a37Bj5GIf8jmQZ514+CsTSlHEtXk+7J9QbU7hzLHgkNRNl +Lfs19kzTbGtEPgMcc//wrHu9lXh68TUl47vfgcYU7Es5Vq6Vq3tKLVPObuc8 +C1WTR5DvKLh21LOt4JmRv/VR0j4DvB/9E+C12Ozjbd2xY2tAp0HzN/KsU0+r +t5VD5fImNTgX3Qc4ewPbr8j1Afy/EnuWd8K/Cr4F/abvDX879qzqJN7VJZ5Z +yqFyqZk+HV8N8CvT7ln17qc517p8tHH3vpxj150f5t1z6j31sHr5QuTaUk2q +Nu/mrCrhGbUS3UmcPYJ9BvnDkXtUvaqZrtleDGWTrjHVWkn8fx1B6/BVCb9x +gGNcCq4suDbbFSOxPZH3btuJ/WlkfbHfrplxE1yCz0LSPaHeWB47V+rJZeD3 +ORue8AzfCZ6Iv66Ud6h26VbyN4R7WsjdKb7BwMi7Sz7T6rXYta0YL4BzsXel +5kMe/HvOsSonj6HfFPlba6ZottTCr9YCh26hu4v7H004ZzvgB0NbMr5bO3FO +5F2rGpodecdr1+/lPfvBrZF329/cPxn/Bexfz3qX6A1R5F2inZmPrCNdzUTN +xu/yri3NbM3uq7F3uXKkXBVF/pb6Zgl9O6gs6Z2n3bcn71mlGaBZsCLrHlNv +qQbrYvee/iEWg//N+e2a2bOw/yjnt+ifQP8GLZG/rXKkXF2Jvbu0o06h+1fO +s04xKJaNkXerduom8H8u7Dws + "]], + + PolygonBox[{{4628, 3249, 2716, 915, 4361}, {4364, 1594, + 2854, 3153, 4632}, {4574, 1142, 3128, 3126, 4629}}]}]}, { + EdgeForm[], + GrayLevel[1.], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNVc9PXGUUvTMdYOZ15r15BdGFEKHiQkx3TUypsq9uxI0/WhtNVUoTTSNo +3bjRjRbeAGEBGJJqXdRo1SGk1Y1Rad2qJNIhoWkX/gV2Y41Gz8k5RBdfvvu+ +H+fee+79zht66fWJ18oRcRVjH0bXgYgvahF/5BHTWcRMJWIC9pmeiMtYny9F +9MHuxfgB5+fK+qbNezyzUNL5r2wvNiLWgHMMOF/WdI7rO7ZvAeNIPeIwxp1q +xJNJxBjsFdi9+yOOwn4L9/tgPwZ7CYGexN4JjHHg1DAfx3i8pPkF29ebiAHY +x9KIh3F3FGMA/tYSYRGHPog9VNaYhj2AeTKRb+5xMC7u9WJ+ABi/Id8fm8qL ++b2IuA7t19594HCsO6KOfDdx7iBiuRbKn+dXwGuB/QWMFvZewfd32P8A8wXs +fwOMQcRwBzEMA7eAzweRwymsXcTcwr15jLP43sW9A9jfxtzC3SmM72G/kSne +W7mwWIth+Ho5F85PmeIad2xTqNfpHp2hP/K7YW7J5ZUQP+SG30/j/jPA/x25 +P4K8TyDOQfg4ZUxij+wTBtf6Kzo/G4q/cO7sLfbYjHuN+TPec8h9oy4e2SM7 +7q1nkf8WcD/BvaKinJnvHGIvyuI7BdY9WM8y9cKQYybfi/Z7E/jlunqI9Z12 +D5DTe2GvAqenCzxX1NvdXfJHX52K8GddM9bu04Y4JbesVbusvMkDMfhOiDOa +ysd2rv0N8zWV6cx2Jv/9jqHj3PlGZjPFcD5TnQccz5r75mpDHHX8Tjerypc2 +OWM96JM88V0ctE3ukrLOvlcVP9xv+8zbudbPYf4IvP2MetfdHyf9BlmnJfsY +Q47n6QPvYx3jNrhrN8UD7T3NKKwjnOdsn84US6SKv+Pc+W4YE+O9ZHz6WQHu +t8Bcbaomfa5LrzE393rDOX4NjroR61ZT8RHnCHAaVb3tG6Hcan5TE5kwG5iX +q9IL9slqVe+EHKTg5SgwG5jfB/47uPdUpt5KzA/zYD57teB5ckWf1BL6veC7 +xHgiVb7UMHJ13PFPpuKjAo0pUIcRnP2wpr5gj96PuYS+3k2khXetuX9i/gzj +OtY+z4VHXNaCdWGvs59GcPduolwv5uKKnFEXqA9XrBXUd+bSn8nnq5l6l3i/ +ZtIC6tKuz/PspZAOnbHOUA86rhf9XHPPcd5yr7ZrukNNmLE2UIOYB/kkF+Rx +yVqzaF2lP/YF39LZ/+ESc7mpNb7Fw7nWn0sV11TPf7nSZsyJ+4I6+SbOv0vN +wHwjlw6P5vK/6n6g1jBG4vBuw/fZT+wrcrhgDSR+4VqwvuSs7t4jdst69Qtq +/XEirEOo0UN1+Ru3D8b2aC4+2CP/NKQRk5n4a/ufy9iGreelVD755uatj4yH +sQ86/h3rCXXlb+CvY/4r1z+q7boUjpN6xbV1+yJP846fOrzst3PZPcAzLf/H +eLew3vDNPp+qLqzPv5dhDtI= + "]], + PolygonBox[CompressedData[" +1:eJwllMtLVVEUxte9Xu167jnn3q2WBRkV2SDFSQSRtz+gx6Bs0kN7EWkGRWVp +kyY1M82igdcQLBsURaUE0SSCXlMTegwMDfoLapI9qN/HGnyw1llrr/Xttb59 +1hw93XEqa2bbQA7UR2aZ2Kwzb1YLkmBWrjGbrTLbl5qtJVYFDhEbBruLZpc4 +18DhDuwPYIiCC9Vm0yWzOeptBAfzXrOdsz34/eRX8AfJH8ZeCZZhT5X87Aj+ +EP5W8tvAGLk34XCWb03U7yN+DrsMp2s5r3EVvxW+N+D7ivxuYguKZ8yu4F8k +FshpJPcFPSr0KlN7C/iRd07qqd5NoBH7vJDznurdXXSuL7nzcezvidlecQcl +/Png3FRvAfsdPaY4+wTsgMtheg0XzG7Vmn2jRid+K/4q/Dn8IjWWcv4zmMEe +KznXM5wfLTkncesF/xK/o+76Bjyg3y/wmFrXufNXYgPB766ZaDZ3g+/yNfUO +pM5RXDfBY0MdMbjcZj8x3+rACXKeU2+CfuP0Pql9cTYCGWIPg/eex9+Mnatz ++xFnqrH3p96rhv6TxLenPotx6r3lPv18u5z3HWlX6zgzQP928pdjJ0XXlmaS +YsfBY83coYDdVvCZapar6Vkpem1xFNcGar0nJ6FHBCbpcSzrmp1gfl2x31l3 +1Q4Wyd8ZuTZHwR3sFaA+7zXUU731JlLs+4lrYZCa96i9i2+dS/wN9NI/GzsH +9e4CPUXfnTQr7Uoz0o40KW1qZ9rdNFz+Uqul4BqRNpr49hR7PPK3oDk8S3w3 +0mgf52dLPmtpTtr7E7zWFPiNvV5aj/zt6k1Z6rsUZ3H/GXx30tBi8LfbHPss +9IY1iyOxz1ozkUalVb2BPdgfg2t1BA6fgv8rvkR+d/0zWoLHtPML2DMF/+fo +XyPNiaO4SnPS3n+Nn5DQ + "]]}]}}, {{}, {}, + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3642, 4272, 3643, 3752, 3497, 3978, 3942, 3943, + 3862, 3979, 3980, 3644, 3944, 3583, 3863, 3981, 4273, + 4274, 4053, 4054, 3946, 4432, 3584, 3945, 3585, 3947, + 3993, 4426, 3474, 4294, 3658, 4293, 3659, 4295, 4306, + 3512, 4515, 3674, 4405, 3675, 4516, 3673, 4365, 4366, + 4363, 4364, 4632, 4644}], + + LineBox[{4453, 4047, 3620, 3747, 3488, 3465, 3921, 3922, + 3853, 3854, 3855, 4048, 3923, 3570, 3856, 3857, 4249, + 4250, 4248, 3627, 4566, 4567, 4395, 4470, 4471, 3808, + 4473, 4472, 4396, 3687, 4523, 4524, 4408, 3688, 4612, + 4613, 4600, 4601, 4602, 3809, 4605, 4604, 4603, 3689, + 3997, 3511, 3956, 4434, 3957, 3954, 3955, 4575, 4576, + 4650}]}, "0.8999999999999999`"], + Annotation[#, 0.8999999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwVzjtOAmEUgNFLpyT4AhbgDkhE1B1IYmUBRgEVsRQX4QOoDJ21hSgq7EFo +SSS4GkXjsTj5Zubef2bW65f7zURE7FFYinhbidjSHk+piNZyRJ0zsrTpsG0+ +sLujQ/2x2/D8V8/1YjWiyZFZhUNqVOnamTjXd72hz5rXx//vml05X6FKmmtu +2DSv6ZedjN7y4uwrM9efnPBtfqxzPdV7iv7lzv3I7q73vGtRx/rBlLL7vL0D +fdCSJrWtC9rSRc2sReT4A2iuKrk= + "]], + LineBox[CompressedData[" +1:eJwNzr0vQ1EYwOG3DCq+WolEohoWSZugpo46dEYNNkl9blqfG4OkM2YkxOiP +MFokJkYVZekgOrF6hie/+55z7zl3cr2+XEtExAqr6YgMo4MRt1wORJwwPxRR +IkEX3TxxnIoY815OP7yX15aW7Y1bPzXPMMs0cxRo8Gh/zV1VskyY77jxfYMF +ZyzSQ5Jenlni236f9nPurAvOmPL9i7NeybHPAU3rR3pIng3zvW5pUTf1Rzu0 ++OTBHe/W/zz/8sW2ua1X7r1ml4p5T3eo82auaVNHhv0H/+XiLck= + "]]}, "0.8099999999999999`"], + Annotation[#, 0.8099999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwV0LkyQ2EUB/ATvSXpGfQkPAQ6RCIJjVFieACGGb3Q25ckxgOoxFKj4DkY +y1grfrf4zf9895zvnju3Z3Ypv5iKiBnOWiM62yO6iHTEX0fEm/qdp7aIZ1ZI +6S3LFrnlzp36xGxWHsucrFHXO3Q+Is+386t31dR1Bsw05KA8lT/6E/JXFuS8 +9y8wqS5RpEKZqplb93bVe+zQl3xHsltv23mMcV7s3JcH9OsXnD/MZOQ6VTs2 +6WUu2efZqPw0U1R/yZJ84JEKU5SZZsjsCMNsmL2054omN1xznvwL/VXWyHHv +2YVs0p2J+AfR6zpi + "]], + LineBox[CompressedData[" +1:eJwVzTkvRFEYBuCjoMMMiSuMZWgk/AbR6GhUEollOg2NWCKxFCjQShSIP6Ci +oZHYajMFCSozg7kj0dEQzxRP3nu/7z3npDOzIzNVIYRp9utCOKwP4YgWWklR +Mo9Z4jcRwqL8kzl5ya3ODdckKnewV6vHaDKEpG7W95P9My+Mmd/JRt15+wf7 +JvkoIxmZL8gOOmmnizTLXNmv6I67p42U/2MOzFbp1ekj740CRSb0BuWrfbWs +YVNni43KW86vmQ3pxToDZmU5bNZtty63ZWS/I5vlpHzTm5J5WaTAO/f2u+b9 +MkeWjP+y3ScfxJQ4886X3ak8kT98M8e5cxf0NITwDzumQUg= + "]]}, "0.72`"], Annotation[#, 0.72, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwNzblOQlEUheFtHGJMHMBGrMQEp/gSOOGEJvcRKBwSA4W1xtqLhXOtwLM4 +PItcNHTa+BV//rP3WuecYq2R1AciIsHqRER1KqI/HrHPhzhA0/wh+8QiirmI +Y5ygJbvVWccGupMRd9y2v+cl/U3OzJnswfkRy/ZPvMLP3JNv8TdX+NTbO/xj +3uY97CI1v7nzjhLm9I5wbf+CVKeMNXz5r8mv9jc8mI+4cKerf8kZn3Nb74rH +uINh+xH8Ov9hHkPyM55BzjsFnuY8RmWp/qzzAv4BRd8rVw== + "]], + LineBox[CompressedData[" +1:eJwVzksrRGEYB/DHSmLmDEW5loUZCztfwIq9RiKlfACihiWNnVi6bAxfwjWx +YW81RWIoYT2DnfzO4tf/fS7ve87gwtLkYlNEzDPdHtGWi7jPRLTKLBmWuc5G +3JBQSmdy2/6u3TUSvRwPScQjB3qz5jN06lfVNf1X3pjT76XLOzvy2bzP3ovs +lz36eVlTD8lhCmxwa3bHAOve2tQrU7Fb5lTvjBMuOGfFbt1Ogw/1J1/pXft7 +cty86D8m5L76irq6wTt/jJl98+R8SIVRpvSO5DF59wpcereq/+N7pfSeXJUt +HRG/zs3OW/a71SP8A3hgOKE= + "]]}, "0.63`"], Annotation[#, 0.63, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3461, 4450, 4146, 3556, 4074, 4232, 4233, 3617, + 4147, 3557, 4075, 4234, 4383, 3618, 4044, 4045, 3911, + 3558, 3910, 3559, 3912, 4451, 4149, 3560, 4148, 3561, + 4150, 4452, 4152, 3562, 4151, 4154, 4153, 3462, 4156, + 4157, 4155, 4159, 4158, 3463, 3914, 3915, 3913, 3916, + 4419, 4421, 4420, 3464, 4281, 4282, 4280, 4284, 4283, + 3507, 4507, 4508, 4477, 3531, 4399, 3532, 4536, 4537, + 4388, 4631, 4645}], + LineBox[CompressedData[" +1:eJwVzjsvg1EYwPGnZVX1thV0srlFYjQY8A3MQmJ2iZXqV2D0IQiRqKRGt8ll +qMGdktClNZn9OvzyzznPOed9B5fW5lZTETFPNRNxyg7jPRGblPiyPtBlndQV +PdRdrXa7wxCRjTjrivi2/0ODbTrsd3JlVre+1FHnxxhmhHN7v85caFpTtGiS +uJPTmlmi95rXgv1+fbHu0yIDbFDy5hbTzDJDmZz/zpPQS4EF7zy33+GBJx55 +5dr8hinuuGXR+brZJ2988M6R/2iatdhnjz/Wqbh3wnH7u0nEBP8oKjen + "]]}, "0.54`"], Annotation[#, 0.54, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwVzr0ug1EYB/BHJEw+XhvSQcpNWHoFFk1vwGjQSZomVvb6TJG4AINWa1Vu +oFiRdnAFyqBaid8Zfvm/530+zlnZKm/uTEREid2ZiPssosM6jzxQmY0YzUeM ++eGXIZNqt2otatzRpmPPs3zhjCe6vPPKGxecp71kXKVec1Wac/bSoE2Lsvqn +Owf0nPvU9e5x6PuIGiVvOpEb8lgWzC2lf3JRnspvvphaMJf2pl45kJfyg22G +3NBgnzX7VslTTO+X13La3IEcO/+xbG+OPP/LTzrb + "]], + + LineBox[{4554, 4546, 4547, 4411, 4549, 4548, 3706, 4552, + 4553, 4412, 4551, 4550, 3456, 4480, 4481, 4401, 4483, + 4482, 3520, 3768, 3769, 3730, 3767, 3766, 3457, 4568, + 4569, 4415, 4571, 4570, 3726, 4397, 4474, 3521, 3825, + 3522, 4496, 4497, 4387, 4463, 3483, 4221, 4131, 4132, + 4067, 4222, 3484, 4223, 4609, 4610, 4586, 4588, 4587, + 3696, 4000, 4001, 3844, 4002, 4003, 3711, 4356, 3586, + 4194, 3587, 4195, 4303, 4506, 3668, 4094, 4095, 4636, + 4638, 4658}]}, "0.44999999999999996`"], + Annotation[#, 0.44999999999999996`, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3595, 3889, 3535, 3836, 3837, 3838, 4033, 3773, + 3537, 3834, 3741, 4211, 4212, 4210, 3597, 4555, 4556, + 4391, 4464, 3515, 3805, 3516, 4465, 4392, 3677, 4521, + 4577, 3761, 3517, 3826, 3753, 3754, 3590, 4086, 4085, + 4084, 3589, 4197, 4198, 4196, 3593, 4484, 4485, 4389, + 4641}], + + LineBox[{4040, 3898, 3545, 3839, 3961, 3962, 3609, 3899, + 3546, 3840, 3963, 4216, 4217, 4041, 4042, 3901, 4430, + 3547, 3900, 3548, 3902, 3984, 4279, 3652, 4087, 4088, + 4089, 3653, 3873, 3872, 3871, 3513, 3885, 4624, 3886, + 4616, 4615, 4623, 4486, 4487, 4390, 4651}]}, "0.36`"], + Annotation[#, 0.36, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3604, 3891, 3539, 3890, 3893, 3892, 3450, 3895, + 3896, 3894, 3897, 4416, 4418, 4417, 3451, 3982, 4435, + 3983, 3651, 4277, 4278, 4083, 3504, 3801, 3505, 4504, + 4505, 4300, 4302, 4301, 3646, 4531, 4532, 4642}], + + LineBox[{4438, 4032, 4427, 3534, 4105, 4106, 3888, 3887, + 3960, 4368, 3721, 4367, 3722, 4369, 3676, 4310, 4311, + 4307, 4309, 4308, 4312, 4517, 4518, 4406, 4520, 4519, + 3530, 4103, 4104, 3959, 3958, 4202, 3503, 4012, 4013, + 4011, 4015, 4014, 3694, 4529, 4530, 4647}]}, "0.27`"], + Annotation[#, 0.27, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3444, 4206, 3594, 4205, 4208, 4207, 3529, 4101, + 4102, 4056, 4055, 3475, 3443, 4499, 4500, 4402, 4502, + 4501, 3662, 4299, 3664, 4298, 3663, 4503, 3501, 4010, + 3715, 4009, 3716, 3814, 4597, 3813, 4654}], + + LineBox[{3796, 3777, 3778, 3596, 4034, 4035, 3446, 3476, + 4498, 4296, 4297, 4191, 4193, 4192, 3502, 4608, 3665, + 4584, 3666, 4619, 4620, 4622, 4621, 3797, 4655}]}, + "0.18`"], Annotation[#, 0.18, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3442, 4203, 4204, 4031, 4030, 4029, 3528, 4200, + 4201, 4199, 4489, 4488, 3499, 4007, 3713, 4006, 3714, + 4008, 3691, 4525, 4639}], + + LineBox[{3772, 3794, 4276, 3649, 4275, 3650, 3800, 3799, + 3500, 4607, 3660, 4582, 3661, 4618, 4583, 3645, 4526, + 4653}]}, "0.09`"], + Annotation[#, 0.09, "Tooltip"]& ], {}, {}}}], {}}, { + DisplayFunction -> Identity, DisplayFunction -> Identity, + Ticks -> {Automatic, Automatic}, AxesOrigin -> {0., 0.}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines -> {None, None}, AxesLabel -> { + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + FrameLabel -> {{None, None}, {None, None}}, DisplayFunction -> + Identity, AspectRatio -> 1, Axes -> True, AxesLabel -> { + FormBox[ + TagBox["x", HoldForm], TraditionalForm], + FormBox[ + TagBox["y", HoldForm], TraditionalForm]}, DisplayFunction :> + Identity, FrameLabel -> {{None, None}, {None, None}}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLinesStyle -> Directive[ + GrayLevel[0.5, 0.4]], + Method -> { + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, + "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + PlotRangeClipping -> True, PlotRangePadding -> {{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, Ticks -> {Automatic, Automatic}}], + StyleBox[ + "\"\[PartialD]OR(x, y)\"", FontFamily -> "Helvetica", StripOnInput -> + False]}, + "Labeled", + DisplayFunction->(GridBox[{{ + TagBox[ + ItemBox[ + PaneBox[ + TagBox[#, "SkipImageSizeLevel"], + Alignment -> {Center, Baseline}, BaselinePosition -> + Baseline], DefaultBaseStyle -> "Labeled"], + "SkipImageSizeLevel"]}, { + ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, + GridBoxAlignment -> { + "Columns" -> {{Center}}, "Rows" -> {{Center}}}, AutoDelete -> + False, GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + BaselinePosition -> {1, 1}]& ), + InterpretationFunction->(RowBox[{"Labeled", "[", + RowBox[{#, ",", #2, ",", + RowBox[{"{", "}"}]}], "]"}]& )], + TemplateBox[{ + GraphicsBox[{ + GraphicsComplexBox[CompressedData[" +1:eJyEfQVYVM33MHa3YreYiNjNsQO747W7u30t7FawAxURRQykBFFppGMXkI6F +LXbZxW79lrv3zPxn9vX3+fA817P33okzp8+ZuS0XrZ+8tLSZmdmkmmZmJVf+ +n32b0YY/D2DhYAJn+Kw1/EVz9yUEFm5npBA43fgDgc8Lz8sI3LoEtC8gsLfw +uILAI4UO1AROE9rTEHi1MKAiAvPz+O9rMIFxPux9CYFxPgjjfBDG+SCM80EY +54MwzgdhnA+L92IOpuvw3/OgV3Y+wdx8grn5BHPzCebmE8zNJ5ibTzA3n2DA +9WDpppiDKR399zrQefBXnA/COB+EcT4I43wQxvkgjPNBGNcDYZwPS/fFHEz5 +4L/pKNhk3Ox9emXXR8Ktj4RbHwm3PhJuPSQcfUm49ZFw62PKx//NB8EmeOfH +jTB/xfkgjPNBGNcDYZwPwjgfhHE+rNwp5mAqh/6bj4NN6IbHOz9uhPkrrgfC +OB+EcT4I43wQxvmwcrMYeDn6+0/JvxwyHxYOJjDOh70vITDOB2HsB2Febv+3 +3As24TOeTvl1Rhj7QZi/Ij4RRnwijPhEGPGJMOKT1TvF8Dc9hPPj5R4vN3i+ +49cdYZwfPw+E+SvOD2GcH8I4P4RxfqweLYa/6VWcHy/HeTnI8yFPxwjj/Ph1 +4eeBMH/F+SGM80MY58faBcXwNzsB58frJV4u8nKF50uEcX48nfHrws8DYf6K +80MY58faOcXwN7sH58frKV7O83KSlzMI4/x4vuHpjF8Xfh4I81ecH2u3FcPf +7DhcL17v8nqLl/u83EQY58fLAZ5veDrj14WfB8L8FefHjpe364L/YkfwepjX +Y7weKObkNC/XeDnA8w1PZ/y6FJvMi78ax+tErrieCK8R3s8i90cJ/8kzgfG9 +VsJ4teQ+i0cnYO+jXaLj7H86LrxvxLM/GQ/C2D/C54T3CgnM8hm9/9906k/G +Z+w3XFwfJYFZuUPv83yM97E/47wSxPHLCcyuJ73Pyzm8j/0Jt+2TRHrKJzDS +C3+f1wN4H/sz4jGN4BNhpEf+Pq8n8T72h+v0tytvN+DvbP95ZD3wPsJ4H+kD +7yPMz4Mf99/miePC+9guzgvpE+//Dc9/WxfW3swn/fN0wdPB3+gG+8P72B9P +tzyd/o2usT+8j/3xfMXz0f/mu2hyH/vj5QQvF/63HAkm97E/XHderrByrZjI +Gbz/tysvh/A9pAe+nf8eN48Xind+XXm64fUEzz88X/J8z8sVXm7xcpHXE6zc +1XN6wZ7Djz25GvvNJrDxkmsC/7e8tyf9YTsIs+8Vm7SDz/FXftzYLt8/+3sx +eZ+dL11/XG9WH3qQcRnx50PaRRjxjO2MEF4sIs/hfWwX72O77LyKOTy5cc+5 +ifSnI88hjM+xcjOc0/fBnJwN5+ZL6RvfQ7pi5byG67+QtIPPI4zP4/jYdQnk +5utPYOPzoYQf8D4bF/AX+SSTrAfyG95n/WC0N/JI/6ycD+f84nDyPI4HYb4/ +xJ/xdxl5nr3vxMEe5HlsD+UNS590fVh6pvPD/nDc2B/iD2FWDzlx8ovex/ZZ +PeNP6Bfxx8rrcCKfWPpK4/ApJzC+j+/xV3wfYVZvox5TgDD9Nokc/hI4+Z9A +5olyFftHGJ9DGPtHGOkdYewPYewPYX4d+HnxVyO+88V1TSf4/+91NOVz1v7I +MuFzdl55HF9RPmDtmTxOj+VzdqGcwDhehBFfCCO+2P50JnzC0yFPNwgb2SaZ +0AGrV03pnKdrftz4HsL8FefD8w3rFwSClzCwQhO6wfXh5SwvR1n7SsfZHW4c +HyaY0CFrV6dxdrecwDgPhLEf3m/i+Yinc4R5O55fZ3YddUQ/oPxDeSj8/Oet +OF+p2K6czJu3L/B9bI+layVpB9tn9YqUs7dDTcaFepaVL1R/IL+y660g+oKl +O4RDCP38txxFe5TKSVaOmJmxcsGD8ytQf8jJfdYPwLi1ktxn/QAnLo7lRPDA +4x/pEmFsD8fNX1l9lmCiB/A+O79gjq+DOT4MJnTF4814jeb6i+boIJqzH6I5 +ORQtrr+KswfUBEa+N7YbydnfVC/z+sh4lXB2bAKHLwn3noTDj4SToxJChwiz +8aQEzk9IIOPlx2ccf8pf6DCB3Gf1PY1PIJ+h34J8guNBGMfD6uNiE33K5n9M +7QzW30ow0Y983JyXyzzM5p+cODkXTuIMOE7sD2E2DpFGYKQXtGNZ/FK5wdul +rN2XxOV3eDvTyST/wNvJeB/b5/MlrJyTEZiNg+RzeYl8Lo6fz8W987k4MY3H +8ONn6cifi5eEm+RD2DhYngnM628cJ7bP5xfweRYvSi7vouTyFMr/r57l5Szq +FT5/wNoDKSZ0ydolOSZ219/sMMQ/a78Um9gbfLyG1bPRXJxEwtkPKX+N+/Fx +PsQv3kf8Ioz4RfhvV2yP1Ws6Ez2B42efl3D2TJoJjHhi87Y6jk91HF/pCB3w +MLbH5lF0nH7g87xOnH3hBqy/aM/5u6jvNeR5Fi9OZF2xP3YcweR5pFPUf8iH +KM/WCb/HEv3DwyiXUZ+ifmDtqFwC4zxY/s4j95Gv2fiMjOhhtAMRZvuleh3v +47oIPxv8SpwnP2+EWb0RCTyeeZi3IxGvLF3S+M//7ofat2w8RMbxl4ysAzv+ +BJN15O1oHB+2j3SI7bHxSIp3hHm9ZYR9OHr1IPax8X0/cf4y0c8L4+wo+rzx +OS9OjvF5THvyHs4L15+F9QTfCBtfD+XsF2rv8e2g3EO++e84Bs1r8/49Xx/y +tzglPsfrNz4vzOsfXr/x+oHPT/Pyms+/8vKXzwcjXbN6W8fZt1TOIYx8gFek +J1wfNr8aSOjByLdBBC98XIDNG6UR/CDM2htuhH5w3Ngfaz8HmsgRhJFu+TgM +b8fh/JCfETbSfzLHT2hvy4kcZOta0v8aB2DrijSEr9G/ZuWIqR5k7Q4dZ7/q +CczSO/VLWPtTajJvjIOxcq2AxAVQjyAeWFhnYgewdo6OXHG8LOzG+ddZRA49 +F9qLE8evJvjC99j8sxsn1304fYvyC/nERZwn0pc7kS+8XcjSu8YkboFyx0jv +GlFOvxL71xL+YOVPJNEDvJ5A+YbzNq7DG7E/zDNGmehltn4snawzr6eQnhDP +xnYwLorxIxpf4eUswkgfiG+EefmA+EAYn2fljA+hK3Y+6eR3lm78xfVSEX2F +MOKL91vQLmHXT2miX3i7BsfJ5jfcyHyQfnBcSM84L1ae0fwI4h/xg/3iurJy +FPV0Fid3E4nc4+085B/EC/Injgvpn9fnSI9Ib8b7MVwdVDYXx80i9M2OW03o +j/XjMZ9D7Qk2/+NF1o+N2ypIe2yeTMnJWSWhH1x33i5FGOmDjSPncvaSE6dn +w7n8YigXFw4lcpQdZz4ZP+vXZxJ8oD2GMOKL5R8X0i5bb5jJzTefo0eZCT3y ++p+Vl6b2Iso79KNwfAjj/Nk6ukyu7iyTPM/DrN5QkPVi86AKwg/Il0jvbFyA +xnXYOL6ZGbbDrlcmaT9VeA/tWTuRL/SEPlm724fQD+IX9Y2x/+vi83oiL1i8 +BRK+QxjlP8o3I30VEvmP/aAcwPdQDuO8kA/wOZZ/1OQ+rj/SvxGWmuTheb8X +6Zq1UxSkHT4+j/SJ+hPlFa4P6x/JCF6xn7/ZUXyeHp/D+3jF+4gn4zz1XP5C +T/Qg8iHi3fi+ivTP6rlYIm9Ze4LW6eJ6svEj3v514vRLILGnWT88jbPHqH2L +8oi3L1n7UWqSN2LxZ2pfIf2ivcPbR2jvIP3y9g7iEfUfb68g3tn18efmGc7x +N9oRqGdQrsWJz6lM9Aj2i+Nn1yHaxI5l67ycuLiGm0lck9XLgVw+je67wPmw +6xppEtdj9XcK55+mcXZK+l/5kteT/D4Otk4qnasboXkbNi5imsfB+zy++fp7 +Ni5H/TqcHx8fZeVsMIGR7ox4pnU0fP04qwfciZxHvmHriNL+mrfB5xFm84H0 +PvqNxt+x3lHO+eFUX+DvyD9IH/i+ES4g80W9gPMx4kPLyTEd0T9o9/mIdgTq +N3yOb4fth8JsXB39kXxOblKYjcsEcvtInAiecJ1ZOrDn9qH4c3gN5Px/Hy6+ +Se0zpFOUVyi3kS4QRnzg8ygH8D7il9XbZma47jhu43CSOXxJOH9PysW3pGR8 +7Ps6AiOeUE6i/uL9J5T3yC9sXCSU0+ce3Lr5EP7m44zYDhtXySX32fotGvdi +65ZN9TzCiE82D23P5VlpHh7Hy9uNSCeIN1Y+JYvzw/ZTCIz9s/krexO5ztoN +bmReyCd8fQqrJ6TkeXZ8NE6Jz+M683Yb72exdoe7Sf0KykPWz9MQ+5CNR0vJ ++9g/wiiX2DxyKKFTVv6b8g22jzCfp2TpRkfokG1fTt5H+cjLW77ehK3fDSF2 +jBH/YQRGemLn50XkNPppCOP6Iv3gOLAdlm5wv4eK8CXSF493pAscB8v/egKz ++9Co3GP5ktb9YH/8OBHG+0jfaAcgfWG/LD2kEBjpCceJcg9hNr9mz/mXdpx9 +d52zh9F/05F5orzm6RDxy9M92gnG52NM+JK1o3K4/KOM4ION62cTu5b1WxUm +ch/xw+Y5EojeR/nCjiua4083zr4JNpk30jPKI94eQvpFecHGVfWc3tATvkE/ +h4dZfVtI8MvKwRjCD4hnNk9C9RfSE9qnPF/gOJH+EGbteT2XZ9ATuw/xgnhA +2Ph+AbFf0P9H+4mtO8G4Ku53kRF5i+uZKVzjxXbVpB1Wj+nE/p+J71GY1QNv +SDvG/iNIvA7pxPg86tMocf5qArN5xVfEbzK295LAxrjKayLXEB8YNzauo4L4 +Wcb3wjh+djKRK/9t5+s4vUvjL2x+0Y6rz3Yj64N0jDC2b3zOn8CsPPQx+R3p +D+mfr4th8+uBnF1Cn0c+RzwZx0VhlAs4P9aeLCYwymF83ohPjF9KuHg3rQvB +53m9zupBKbefII3wK+IBYTafF8nVJeUQfsD+2boeDZGf7H4/GSev5CZ4RZjf +z83m5d3+6pcj3lm/KoXIYz6OzcfJWP/YtK4O8cjmhSjecX0RL3xcCq+8v8nT +BZsHoX4JG0/QcXE9PRfvoHFbxBPLJ26Ej9grrVPE/ln+jjTJz6E8NfYXzrVD +61JxfZFf2P1iNI+PMB/XxPZxXbB9hLF91Bv4O/u8hMDYLj7P1xmyebQkMh58 +HvHM98fXkSKM/bF2vWkdJbvvkupJlCcon1FO8fUMCOM6oR3zt7p1vq6Krytn +76dz+sC0jh/5C3/nr2yelO5j5fc9/a1un6W7RJN1QJiVK8gPLsTeRBj1Ecop +1HvG9lCu0fwprodRT6M+TefinD5kHRE2PpfK1eOkcvo5kuhPlm5p3TDC6K/h +8wjjurP6mI+/+HN2fBDXTzinL8O5eYRy84zkngsn8gNhlG/4PsJsfXcg50fS +OnP8nb/yfMW2m8fJE2q34Xqz8SAZaY9fBxwf6gF8DmFWHtP7uC4s3bwl/i7L +z24m8RxWLtE8FsL/vc+PzpvdlyghMI7T+B7NB/1tX97f9jGxdWj0ys5PxsVl +aB0xu19XTp7n8x5sXRGtO2brqJXkeTZeSO0TPs6AMK43H2/i41P8fid+3xZr +p9FxsfF6uj+Kv7J19HLyPBvfp/lunCfaLey+ilwu7mZaN8vKax1px0gPes5+ +knP7reScXSkneMbxsnhXcvVwpnlChLFflFO47my8Jpcbd55JfArlOysvPTj5 +yO/X8eDitW6cHcjnKZwIvtCeQvpBPkY5w/J1mkl9HcoZHAcrr3w4+ehvIg9Z +uSvj7Dh7IgfYcdP7fLybHbc9GQ++h/KR7V/KPUfr0rB/bJ+1l6ge4/UcW5+V +ROQdX7fPx8cwroPjQBjjQ0Y4g+CXrQOSmsSx+LwGfx/nydsVeJ+Pv7P7IOh+ +DqR7lBvsuT/5hN54+fU3PxbHy8oLOcf/CnKf3S+g4viZyh28svsJVFy9Bd1P +wedB+H0drB9F6wawfYTZ/rUmeR02b0rjz2gP8nhk8096Tn+hfNEQ/sb4DvIv +wsb3Q4gcYu9nErnF+he5xA4wrhOFjddcTs/LTOIGyI9sHCGKxBEQNs6D1uOj +v4z8wubxgwmM88DnEca4FMpbft8eG4+MIng08vUbk3g8v28CYcQ7vw5Yh4ly +k99Xz/upGHdi6xaLCF7RPmftEj8SLzOO+zmXz7Un40e+M8LhBI+8nYvrhTDr +X/uT+BbSE8Zb2fcSCF/herLnjEgIjPfZerUcwncsXSo5O09J1hX5jq1XV5n4 +bbweZ/1PNdHXbByK5gnxiuuJ7bP8rzXJ9xvx7sLlv2kehK1XpPXrmLdn+Y76 +vTgfNm+g4eJGVJ8gXbKwzqROiZXr9IryBGFsj5Uv9DwdI35QDmI9MoUxnmwc +7xtxHvnEfzVeU0keDPGJMPIH4pW1+124+LIzgY1XV84/TCHyBvU70j2bh/Hh +/JNoQpds3VEekd8s/eVz9WU53H64bBP9gvKejTPqOfvFg+CDpTsa58T7KHd4 +vYjjQn5g625N6wLYemkal2H9PDlXb05h1u5PIXyN/bD100lkvHif9SuSOD7K +I3SO9XT4Hq4Dvoewcdy4v5/uR8B5IMz6V2gHms7L2H4Mqd9j/Ucfbn+BP6l/ +QT2AMCuP5ZzclHN5dP6csnxi1yPM132x9EzjNHy/eJ+XvzgfNr7uQ9YB1xf5 +AvGI/Iow0ifKE9buDeH8Gw+CV1YfUZhd12ITPcvGHaLJ+BAvrL6NJOND+cPW +oXiRcaF8Rz40wnZc3NuOjAfxbJwf6v1AMj7Um+x+UKmJX4D3kc7xPsJ8nRnS +39/ynn/jczYuXmxi1/J5gP+Oo8u4ODr1wxDG51Gu8HSOz7N2cQrhP6QrpFe2 +HtKJ5GNRX7B1IC6cX+BP/DOkHza//8pkXwyrp+n+Vh7G+aK8QjpDumPrQKO4 +PHi0Cczmi2KIfczva2XPqwwk7aB+QLn/3/teo4l9gf0g/+E6sflWCbcvxLQu +gbXzJWTc+DzKd9RL7DkP2QTfbF6Q7qtAmPWPc038F74ul/VXo0i+oY1oL/B1 +NSwegrh583X7Hn+pn6L1FSzdod1E83/8PmvWbqB4xP7YOoRn4vtFRG6ychzn +Q+tY+H3g7DkfMRxdeHH1HZ6cnAs12dfCPh9C5CTiD/kX20d+RXmBcQ4+TsTq +FzfOXgo0qStDPOE42P0ZwcR+RDrB91h7J4vcR/pl4wLhhN7xfVaeZ5H7fB39 +/66To3UprD2r5+zdJO55KWfnZJH72D/eZ89TzyR2E+tf0HNUkU4RRrnKykEf +0h57/qKci7vSume8j/PD+3zej49Lo9zgz+Nm/cI8E/uXPd863WS/tHEeOsIn +fP0g6ycrObs6m+gHhNl6BlrvY1y/BK4OKoHTFwnEz0I5xvan4OxrBbGDWbtP +yuFZSuxeVp7Tc3PYugknTo7SvAYPs3zuQcaHfIv9Y7sIY78o55FP2ThbIBeH +9ufsD9O8JJ+3ZONb/pw8fEXiIqw9SfPtbHsSAiMejdcCggd8D2GkH5QjuJ5s +PpPWg7N1RfZkPGwcVcfJx+ucfXmdjINdRwnn10gIXeC6sPiSErpAOkO6Y/c3 +5RA5Yuwnl8yPPRc7hsQTUX6y9YshnB3hw+krL05f0fMrkM+M8u455weEEnwg +vaF+QDpAGOkO9azx+UDOLqF1w+y+SjnBA/aH9Izwf5/rreTiu3x8Vk1+Z+ma +xkvQ3vgl9F9I7IWzwgP8OV4JHN1JyHqz/EnPNUD/GeeJeputI7M3sdtZeyGJ +8D22jzDrV9J6XXZ8pnXh2C7SGVsvoiD6A2E+z8B/p4D154tIfSOuH7ufKJH0 +h/VjGM9GeuHrFFDO4fvIP+g/svW+uSb5WDZ/ouXOFdFw8SoNNz5ap4B0gDDi +H/tDGPtj9w2FkP4Rxvihsb1gzs71J3KNrVuKJHyEfMfX6+H4cX1RfqIcwn0a +yGc4bqy3MeItlcB8vRTSKb/PlZXD9Pxptv08Dk/8eU9Z3Hdesrk4RyDBo5Ee +0F/Qmvh1iEd2X9Irk32WCLPxh2gyfuQfvo6D5VsPTh66c+vtRujBiEYXzp51 +4fwm6hex8yzk8FDI8R+Fje2mc/5gFFe/GUvaRX2D/IgwygO0w1g8Ur3D1jH4 +EznMjwftPhwPH1/8W1yVHZ+cwwutk//buRTId/g8u06FJvNAmMWPF3mezWe6 +EX5CGPkH++HpmLfb8Hl2XjpOv+g4ekR9fumvcWWEWbtXydmb9BxU7AfHzdbV +25NxoRxgz4lxIf4s8hN7rhCFkf7ZPJeWwGzdrjuR24gf5CfkF+PzVJ6y9pbp +ORFodyDeUf6gnMPn+StfH8bup+XzhiEmcWT2XAsvMg+E+XP2+XPl2DpHWvdg +vI98bsfZP/R7A7zfw8odCSdHEk3kDFsXksvV4+YSumPj+/w+WjfSLq4nu+82 +kJw/gfKIP0eFjQP5EHmD+WOU4zhflB/sfuFgzn7H/Wv0XGE23uhF+sd5s/Vj +yYS/kN7Z72HkEnrE9eC/G4XzYeMxHpxdH2oSR8P2+fOp2LpeiYn/xuZV8ji5 +5k/iEDgulBcIs/IikJMn9Fw61p7zIHYA0i8bP8DvBKaTdcT2kU5Ze0NiotdY +fziF8zNTyPsIs3Kcfs8Rx4nv4332PJwM8j7ap+z3+TJN7CI+D8PmY/I4vyeP +o7M8k7pulj5yTer2+HOq+DpStu5cZlJXyZ+TiHhn90nLOP+sgOMveg4X0hn/ +HTQ2jl9sEs/iv7eG8og9z5Z+j47N89D9r+z+0WLCD+w+RHruA+KRPy8O9SAr +58OJnYJyjD9XCuUM6mXWLqHxKaS//15H+t0UHD+rn3K55/JM2mHPRTI9j5St +b6bfj2Lpn89P0XPHcV5GPEURewz5iYWpncvudy40sasR77gOOC/8HWGUQ3y/ +bFyKfrcK5frf8IDtsno8l8hBhHHd+PgFm88LN6Eb9Edw3Hwenc3zopy9TvQF +6j/UD8b50PPckB6R/th9XPy+fXpOmnF8SDc5HL1QvxHj4tgOtov9sPo1itOn +YWTcOA82T3GdzJvdn4jfVcol9g/C/HvG3+05GOUxhdkr//0oD3K/jWgXsO34 +cXWFvD7P5ezXXM6fzOXkCx0P8gHbvgv3nhuhE/ydteNzOTs+l5MXoSZ6ip1/ +MGcX5RK6ZdvXmrTPy0fj7wnA+oGJpD3EL8Lsfh4ZibMhjHSIdhjKLXb/QBrR +Eyxe6fcvWP+K7tdGfOO6opxDu8rI92+4+nMaR8b5IV2h/MH4jLE9KRk/wqx8 +yCN6i/Ur3cm6sn4v0hGel6Hg1suDWw/qZ6O+QvmBeEL/idUrNE+OeEW5jjDr +R9D1MbaDeJeS9tk6lBjOzgsS5bOGxG+N92m8H+UMwrg+uL7G+y8IbMSXJ4GN +y+xN+ILfZ8brBd4O4b8jwNahZXH+nozY6Qgjftj5pBAY/Q72/RTOnksn8gfx +ivIHYbYeMoPIC4RRXrJ+M4X5cSOM+gFh9hwAzKvx/koBx5eBZHwoD1j55sHl +3Z0JjPWQrF4N4eif1gFg/JrNI9A6E+R3nCdf18LWp2L9BuY76XlqxnnFiPYs +1lOgf6vi4k65JG6G9hrKTbSvWH8wl8gjhFk/P5fwCfIN8hHylXH96fkGRnJH +essg/ID98noO612N80kjfPffcUstkePGdgo4fZFC6Nh4lRH8Yl4H+Zz1H7A+ +Uc3FCbGOAuM3GsLnmMdC+Yf8xdKzkuAB8YJ4Qryx+VL+vHwaB0Y+QrrDvABb +v+VD8Ix4Z/kD/+H3K+1Mztnhz+nhz6VGfwnxzrZH64pQzyAdI/2wdW9B5D7S +E6vvdCZ2LivP+HMYqdxoI+p31g5F+yKQ1GEjHli7zo6bF28H2nH+hIyzV/KI +ncrWH9LzOXB9+H0SLN/TOhjW7sH8sZzIX9aeo/s+jOuJeWIJZ6/4cHwRTu4j +nnDd2XxzKrFDkB95mN23hPT4kvCB8bk0bv0fEz8C7QXeLzaOO5PIS+O444h8 +xPNbsD1cZ5wPnsdiHEck4Vver2P3HSQRfLP7dmhcg81TUnwjnxjpndZ54u98 +3ICNQ9JzXBFm4/ameUx239Urojd5vxLX0Ug/+WQ9sB22jiKXzJe1/6gdjPYH +8iH/XSz2nAQXwt9It0jHKFdRzqLcRX7A9WHtlhSiD1DCIb8i/bN8k83tx6F6 +E59j33tM6ArzB7wcRhjnhfNE/Yx6DfkJ8cHmE+j+cNRDaDfy64HPseeV+nDx +c3+uXsyPjB/5EdtDe8WID1qfgHjCcSO+kM8RRnpizy2VkvtIF6w+SjKJo7HP +Uxj9MXwe6QDv47gRZvUxPS8Y5QX6KbiuqK9QXqB+QnlhfC+Ka7eA+25FAfGr +cP3/O69Mz5PizyFn861YpyfeL0L6iDPejxT3g/6jE+nviZEeaiM9iHZEJNo5 +UUTfID2w53z4ETucz3ux8ex8YtegfGH3meRzflk+scPweTZ/Ru+bVS0b9NMv +h9jrKwcels88UgRXRRjvXxLgYNjbKqNUkwEaAs+u9SS++XsV5Iv0jM+fE+VX +uagaLVs/VMAFETbyhxoSl16a6G8VQ573FOVKmbInNInzC+CFCLvclTTwMJdB +tjh+q9+1qzW+Ts+psxf1/eTqpc37xlG/tMz3PbdKtc4lcgthT1FOIox+IMJk +H/9o7bTGrWm8HuHB5iP/1exCP4/WmXazzH2ydKcMXreacwsKUO/QerWNVy2S +nlRRQsvyRc1bHMP9oxrxvLRoUF31XyqdqoYHynOPG7/B/Z1FMHNUxzUVHYug +yamCw6fsnkFE67y0/KkaGJdqfipVHgQ2TRpcG/QyB2z1N2v0UUQROGbQQsul +5STglD7e+1qwAjb97nJ2b30JyOvnW2/bWQB9q+yJf+OaAkNnOG5cuaGAvJew +W1nmjJ+CwItuW1/yKK0m8NSvk+v/MeiH73ZR28/55oCyyQ3X1g5FBN45WN5/ +VKaewN7npqbWHJABB86/PDfJWgb+/fs3bvsgBdpZB0+/t6MALqzqn7yqcjT0 ++nN5ZEAVNbyYWkUdGaSDmAsjvZVPbkOPvDJf3DsWwo5ZLT+PPRYuzj8f2q+p +MkL7PhWu9Gs0PKBKHlS0dFra83AWbHM1lzgczIKxO6fu1lXOg9Ktd7a8uyAJ +Zgt4lIP5jYCIDVfjoZSyS7c5CiVEVLq+L3tLOFyosjN0f5dC+KTTrrly+wV0 +EsanhWhxHH7iuJ6L+uZ3lE9Kb1tHqNjVb63tsEIo9avz3DkWWP+lhBk/LRr1 +6hUP9fYdP3I6Vkn0h93sQR9XHJJDe1Gfjxb1zdW0yF2fJ2XBVvOBw8uulhF8 +4/XutWmDtz1Dfz8L5gh8R+3/zovrT430w/2vaaDv+WXhsP75hK8GRjR2SzHw +1ZZzvac/DkgV9UU+lBXHVUcc5+u1Rrvat2NhHRfzQkL3Rjp2IjDqO9SX3UYZ ++yfyTXzOS8QXwp4+TWwPndCDy7dfY5yzL8BegS50EH7YOfhIris8nJri8GWh +Drb5Dvqo+P4IZoYtfVRmRBEsKr48YvX056Bbs/m3pVID65df/7C8bwA0tD5d +StpACysCe5QfuzgQIsxWGN4shE0XQzte/GSwX15mNZ55TA0ZG9a6l28eCUMa +aN+YhaphxucHPRI9IqGUQB+Z8I9AH3kww/VRO31IJhypMmz9k/g88LNddDFq +V7rYrsFuL5Ww4YAqGeZYPLNdOlAOiYWnAwrGxsLvj87/tt+tgqvtXsfdNo+D +pZED2+a4qSDz9NAWD/dHwoLRyqRNiWqQ/Zzf7JdVKNwV+LIQlorjbiDOY7s4 +L604z8jDLZ+EVfeBpsXr0u2qFsGVQ2uDjs09A5ECH+jhh8hnmYPnV5NlbCTw +zAE3Jz6oZuAfy8+7LP7oyO8b17YT1il3gMX89We2D0C/C39Hvn3UoLmnbJkn +eS8g+PKLrxNe0PoPUW7fq/BYZWawb/A9fD666ifp7UPO0PVp4Hvv57T/joca +/Nw4gsqTuVuP3Vp3nsqTWye2Lzi/Tkuex+vXh0N/bjn5ksD3N29wOTM2HFY0 +HVWh4iItqER6HL6m5bhlajcYEdKsvb6mDnosaFTGpWuSiF+D3E8+HfDWldbJ +bNYut79VpxASxre9UVgYDjY7m7dt4qYAVewnvzrVpHBoz+0TK+4EweX+pQYN +j9SAX5eU+fJgdyh8mjZiUEMdVOh/5G17Lyo/QyyiU0OsM+FeWKeI/g1lMC55 +fqDT+xhYYGM2X/mRxo+QH+rmL56euaaQzMthfvzKcb+o/DWOWwfR+1dWvRLu +LtKlBp5OnjUh+2gQfFB8zzx+RA0/CvZc2fAoShy/DJTC+DPgxpELbb7Np/ZY ++2C7NYcn0e83ZPmqSxUY2peJfgHG7+5GHd0i//EIZhx8/mCwNbXXJjk+ryaJ +N63T+9SjXenx8wPhQPTmfZYqWg/kGnK07JZdapinCtW8nhBJ4nWekwZe6nss +Ei67bbj27iaehxoFne8f6Gr7UAZ9npxe4zgmnfj705eM26famQ4Xx8wKrBJC +97mhHPV4umbitSNy+HGwVfdZ05OJPV3Yd4kmvCutc0Y7eNHXFfmv46lfVTV/ +3IkmSjlADau+dgvo+cZJnaY+TVcGkXmWlX8vdQaCIKY46GDoPg3YrHpqFb3v +GcHbFl23yZu/PoXG8yZJxyVgHZUCnCs1dauoSIQ6qd1r9RpA853ol4ztM82n +z24JbJ2T7LzYoK+fi/Y70sH8vQPv9/wUDefMLRd3S5fBne2jEk5p0sDtxGnL +SR/peW2Xxo28oa7M77fNh0eFBS5z66fDdwE/WURuXz+v7DdrSDyJ+9uL7/0c +fP6qpYGODtqtaLnOMQM2/4lK32QmgxdfLKSS2GiD/XaxW/tMuv/M5mnK660D +NbDmSq2VHo9oneQ50Y4sqlrq2FSDXfmm19DS3Rt6gv2b30PLry2COkPvle1Q +OcQkDma0hzSQLNB1MGgEOtcY5P+XgH9iPWGlKIeM6+cFO4tKO/e7abCT7nk4 +vqzhCf8KfFIEDas69t/WUAFWLlOUz9ZIYdX8tNs9qkmJHz1GsKMiRbuC5gPe +9jtXvWZoKtyt3SRmcUI+uFravg39Tetxe8Qc6zFrehrhY/T3m/0bN2N9oOl3 +QpKsFuxfaOCLzSsudlPsCYRRCX1ntHCndibSYeyCti9udS6CzFWDmpWv7k3i +w1+cof8naQih+yODfxjkngwcRL4ZIOBfDZ+6NduikD+A/E2/Xi4ZrIOFAp0X +QWmRf+OkzSddM+DRVhyXkX9C4Yew3oWQJeLfSFeFUFq78BQk+4D/O/NXVp8M +fo6vo+fDy17Qsmbz4osDimCj6Ge9b+KxNd+gv7K2ZA4+EayCDaJf1b5CqZNN +lBh/y4SP/1Yq1vencfkgte/BuocTSZylpkAPtB7lh9pq3NKBeZB4InrrAVUW +RE+Earaj8oi8HBoaWpA2Iw1S4ge6zj6aDwdfNwp9bsBnXve7i9t6ZxB44bwD +8tXrs2BWuLlN+kY9mPce0X/6y8sEv8mOP0YtnRomjksFc0/kyHK2x0HTRYve +a90K4Nmt3ZO9q78l65Up2v0Woj9v9AswnpEH1263nR/9PhMOif3bidcIaaXD +6WZ5ZFwx4nwQ9hT97TwBj7mEH43+Qz6MEeXGBdnzr19uKkFXOejBrKaRcCHR +cmMLtRr6DGpZLXnaFXF8emKP7phxoZ/dggS4JL5nK7YzWpSTBd3GPJhbn9Zb +OArjT4Jyr9ctk07FOGgyGZcPF6fw72TbdLB1gdhPKol7vRTtyTETHZ4u3VkI +Db++uDpuShjBO9qRiwd5778SrIW+m0bVPzHdF/YHb64+08Lgh9ZYYnPggh4a +mu/JOLhuD1R7Ip84xzsXOvWadT/NYH9YH/Ap5xSnh8brv9S8veVI/0t+GaM7 +PNNDTSuLtB+eG0C1ZIplHQNew7d4dLh0fCOBo6r71dgbexKUIhwQ5N3khNsl +OClz2vflth48X9Tup6loD/WvP5JqDf4MPhfWOKhC1Dk9aUc/qdHTu7YUZu1l +D/L7qhGDpiYFe5N2/lzY1rDCx+fQ5cv2rfdGFpHf/+mc2GRfqSLyHv6+sZzz +bbXjY/L7sBW9zQ8NcIX7AZ+W1mqrI8/tPH7jde81FEa6etDMy6lMajCB74j2 +E8Khy0e8GbvqDRn/RVGuV11mFbfGopA8V1fAh4aMQy5ctaQ/lJ/H7ky2q3s4 +TZTj+WLcJg2m7PY7eyAO41Q0jrmy0ojBja0V8PXq77eeOxWQ31Hq3o18p9Pw +uyA3pBBzMKyujUG/Rq/98ulzFx2oBP2eSeLX1xv9DGlQEgex7es5MiEPBuyc +siLsXQwcT0hfa+GggsGrLrWecTYGfBa9f1rlkYrMw8Vh3LOxpwLJPLxSl9xc +pnwNDcKv1y2JK2CcoU6pVbaNDO0HvR6jjzD4s9OTI8eVxDFGiXEErxUPe843 +tF/brteYk1XVsHfdUEEPdXv1WNBLaCf8GuBbUNHgz2tGG/WacsNuQc+hnRHp +vt//ksG/ny34GWroWOZ2XulEKhdRTjo/Tzb4SzIolXUke84tKldRzt6QWOXv +/11I6b7isROzfQvJPBcJ46f5wjL7Kuyb2NgHFO1PuVY26OfM65rN7RoFQ3/B +rtRAizpnpnXUPIP4myX+UBGsmyBRju/xEvpkNjPc5/0+mh8MndjBIDdk0DO7 ++Y4TuZFQ5/3eF5HP1bBHwI8cJqx3M/hdSfBc8Lckor+lIPrFWoivaEU9FgiO +FS43GWythTUN1k8u6BNA83fTartNTbkrvq+DQe62u84Z5rH9x7y11cx9wGJ4 +Wcu9rTRgP3hd5sF+oXDPe1zFK9l6OH6t1vHH3gehSbteHQMMdsS7MqF5exy8 +YIR7s1Vvpmhg4MReim9bQ2DYq35t3hnkXNy3hx3DDPZAh7D17/T9c4geOF24 +a5/ijKMYx9TBFeOCwJ9Pl2ZMGqiHAf4zVm6/7wj96re7u3yAXtTjCvAV7b3j +8QfHnGmxg+TDjHacnWif6qFF1Sq+q2edIfmxc+L9eEGv6wle+LzmOhFPnYs2 +74m8RfNbZQevSLfeqRP1hRt4Pjw7v8sxHcTa3LzX0/4huJ0pdX6Jkua3MN+1 +r9mcTWWDImDJzMC5JXqO3XeaBbtflzXomTyouyRzQvBWmk+6s6L3xH6KOHAZ +uTC/2zaVqIeSYafwvBxOCHKD5oPK9e7febalEpZVedu+j5kENjjeuT9xlhJe +Xvjc1O1+IpFLFff0PLZ+ZALMEOJT1A6YJ/iXFFYJ8So5gT9cTezqkC4nenq3 +EL9Skvv7hauKwBjfKPhgERigf0nocpNIp2vFeKsRL6nw8bi+dXdlPrQV4/XY +jtY9VXPxZzQdR7mL+hYb4+HSpjj/T2UVcKaW0uHBpCToPP3G0WUGObmtoOoc +eawUxjo8+1zQUwHDnw3qvfOLlNBNsMBfCnEdpeK4qNxEOeq+q+jDowgX6NB2 +xv3+oTo4FTyjvdLdDZK7RE89vFkHCa2/PUlPcoXp1xv/s9VBR+KYllFZr/zc +JJDQfXu0iyvN/xz5UGL4rSD0aJQLMgg7tFiIm6CdtnWm9pPt7ywih/Lu9pg3 +8mI2WOkdCwZ76qDa1Je1JNfuQ45368/zu2JdaYSoR2i+pvH+eh8fPoyHT4Wu +j6+NUIn9ZIr95oGX4BfHwiHB/lfBguAS+akD86zjBtf5KcQJz2ngbKU3HS9+ +CjTohxK5poa3gpyLEv1rmRgHSgfn3Q0alP6phUPbfO4+caD5nonxmZ2vu7wA +a8+1VepUK4JxYjzfQcyLTNu6SfqkipzM36+wJmS1ekvgQfX0ga2yUokcthLs +mbcEP4mRLjPbjkglz1+7s7fRhXMSAreMmXMjzTaJPF+pKNzuXDspae/R/ro9 +sjylJK4yscbsxFJr0sjzy3X6Qtuz6QQOmO3U93fpdPK8ZfibR75ptP1B9+aG +l/qVTOArtWrW896QDNPrNZ7lpKL5mDqWLvcypxv08tRyFSrvuU/8AuQPoz+i +Jutb4+DnGjVDaT5mVd6uTT3axUGKxfvVGw3r+8P8mEGvZYJTSVwwLw9qdZ28 +PS8hFqTuTYvnvFLBppy+659M0MGB48GGpXwChfo5j4+X10JCxfLp6x8FQtF2 +2xe2r9SwYVy521cSIqH+smHXLA16CtcrIG5i1c5KJVTsP7Sr1414ki9QrNaF +HNuWQuJcmDeM7RK+sCTufP3wa2VJHLqtECdWwd7t23qNnRgLWTdvVqszVQmT +Fhx6bPsuAcYJcWi5GJdOhg3Bilu9DXKxU/33x0rNz4RXQjw8GzoI7eRChbj5 +S3xj3kJZIT6dD1PEdrBdqVNEYMdZeogrih10X3GKy984if6DjvyOcT17UQ8h +7C3mL0kdjPg85i/xuQzRj0AY6W+79eaNyzo9455zg2JBntJ8AObn+PePdcw+ +MPxFEPe+P5cPCift3BXtV/Sr8T1bAb9q+Di5s3O7CtHkd9R/mN/5WmH4Mo9H +UXBRiPPLQHEoFtb3o/mi5UJcgJ6fi+PAuAS2S84vYsapIDA5j06E0c/B943x +a4NdFddLGb/piZiX0EDFEe+HjAgKJHEIjEvU9inXettOg58/MtjzjWs6rHT1 ++zHieyDY5V7IP3xeAz33DL88YskT2N/1x9v6qiKo29hu+dkpQVC5Ycl7GjhR +y3/A97nucHNgSby5CIpjDup2Bskg3sbybkbDdLj+/sHnzHrpYn6D1skJYr2B +AS/nl1Rs4R0BDqF7CzbdwvhINDwU4gMqsF5SV8hDhRzJFfJS8XdzhDzVVLcO +Qt4K8fBWfG+dQP9ysBbon8blepqll3vRJQn+vdJ6s8TgB3j+m7qppkFvXRXG +JxHHR/Npv4R4hcFuEvJLUtgv5BEUYh4pH8Z631zV0+B/GOMi+SQvkinS2Sox +boz2ZO6Cqh0L4jUw7Z811h3Mi6Bo3pKEdt7eYj6qEHrKJxX5dQqFW/fBqYRO +0B/AdcF1WibEv6KIP4B8WdXMIemYmw76zHM+NH/BQ2iU0FSub0/PvfQU836p +Ir21EfOEiD+MNyS99hi8slE4odMrQv4sRJy3Bjw69vIYlkj3N379Oe17f42f +SJdaqCr38Bqb4gkDA1Y0vTilCFrvvVJzxnRv2LRjyv3PBr7PHDJ54dDilyI+ +tdAoZGTjL3teE77bUttt8NWpRXBqh5NXhThPmHkx86RLBQ2EHj9R6WTjEPjw +rXZuznZatzlW0JO0DrSG4E/KiByw3DTi/ZcqdL9OxzrzR3zaUgjdgzTFvTXh +8EKIK9D9Ocp/Pgr+Bcrjs8vSO036SGFjvALrwbKgutgf2llyIc5B940ECPGn +NJIP2yXGSTAeev1XWJzq+huC72wh/kHz021Eux/9Hszn5XP94P1Ogr/wluSP +bUW6vCzEZfKhl+BHqcC/ndpgj8SBTvAPlbDBd+DYPtMTSd4J81D7Bf8pD2wF +/ymTxEcO97arcaFlDiwQ4gl5YC3GSyzaNizj0jUVajucKiVtUAAbxXa1Yj+b +xbwZ5tHq7ztmqb7+HEbF97dtZ1MEMUcyQgwmlzguGhf5nlw79l3925BUbvTX +VmF6ONnw5zL3nBNwU/A/aTzCbMPH/xMfsSf2RNaYgo+vFnoS+OxZyY6m016Q +51Ff2W1bPDjCgcZHKgvzpfEHcg6u+B7qL4RJnObX4y4nrZ+R99pv3jdjxi5n +7j03mDKo8jVdGu0vRvCf6XzI97zE95DOIl+Wjn6bHSXGK9Xk9xAhfqQh7/cp +sPnac73WJH7kJeo/5DtsH/3aUNHPnTiu9LrS8woh5sXaPM24N7AtoPrEK0FP +IM6+cd0Vw+k4ded+5L59GUTgDtkVbSYeeUnaRX1ZWfAzaf3HDsEvo/UeCrFO +IVuU59Zi3QPKJ5vdNwxyNwO6LCqRRzK40z/RQKcZoh0ug+dbHqw/FpsBTdde +q+OozIPbEP3N80Y0KOI3GfSiSsyHxoh5LzXsKf/n4CLLGHhUWTVhRogKHAS6 +zxL5IM/gx5TQcwLUFOhZJcbjKH53CPEwGu8g596J824nxr+nCva6BiYNWBJm +m+oDNsXapj2nFZE62Q7TwmLSg+h+hvl7KrwrrkK/P7hTxBPG/aqKeFwkzDsf +bgt4SIOKL6q98rN5A05C3KYQMh0++tWp9lbk+wLRv6L11NXqHxPiOsa8uAyG +b3cS4kBGfKpFPlZBWxEPI4X7IbBQuK+BO7O+/fKd6w1Z18rVyDxcRPKCmCfE +vCHmEZNEv7aNqC8Gz2mxa7NB/rsK/Wth2M91Z0/PLoJ+7caOPunrAxd/2riX +NuCtrYhHxOvgz8ryvZttIPnlK8sD2vx6soPot3rbHL6erRECtSfOK1vtisF+ +WvVomfcaCZQSns8FP0Hu03pnbHfLqkv3S/xhL7/SE69UlUL11mXi1jYsgH7n +lqxcZ50KqQI+c8R4lMGvUq/9VLDnmCgn9WJc0x52Ceulh4iAUfMi2u+AOYId +poeohQm/S9kdE+0cPdGD2aJeRP965pDWfQIaKOCYa//eHocNdsr8lH0Hqygg +YdAUs28qKQzotKig7UADfEv+c1acVKRvOSR/tp3YeJmBLwvbVfoY7AJTDqwN +SDD42a/sJ/6wdXSFWsJ6FsLEsd0MfBABVQQ7TgHHqwUZ7AwJWAh1L5minZgH +6wT5nQVFgjzOg9G9LnQcdzoOQHL987hOKvjjc84iYnI8rH8/2/vRHIM/HGp1 +dm/9THAU7EG6/6HCjWUDdAZ+LUzUG+zQGJgi2G9YDxkLwxov/b3fwJ8VpFet +Ag10P7D1UPmNDo9EeauD9dEpfTcZ7EyvCvLkixEamDno97MJ9XGftwbCyx5R +Dp8ZBHc8g5+t3qmGbZ0sbPym4P41NUyLVVt82x4FSY6fDn12lEFgcQuL1Hnp +pH45YaNltavv0sW6nyRx/nLYJMw/WdRfclgmxF2oXYl5C2McWi769Uminy+H +xQI+kuCGgA85hAvxhCQxnoD7LpNguiAfFOBwZHrqx4ZKWB26tfrgNYkQ1TRs +R85oJWS8nzzBPCYRZqevOPmjqlKkM1qvnDnybrbD0UQx/qCACKEfCfyJch17 +L1IBafOHfpHH474bBfjNGtev3gcJqAS6kUGsQEdpolzMh55CXUM63BLifXQ/ +B9qLaC+h3jl6v05l71ISEp/H5xDG+jdzoR6B2kuOQj1GAYFJHp3xi+XkfWM9 +CH3eWP+hIDDZXya+jzC+30uoV6HPhwj5MjWJzxn51DDfViV1O6kiX+fDGMH+ +SRXlcD6xq4oTrHdMNCuADmZzdBfmp4pyLh/2vLcx0A3N354X12v2Yxf3ljuC +YcdHfwPfa6ClVU2DvA4R5a8G+p3q3WHTjRBSJ22k72DoKuhBDfRxvvetspsH +SG+fDCm9swimfHPKV/f2gl1jom87PiyC3V8bJJz/6EXqro3494SRL1t1tzH4 +Z6tems9eUSyHnOXfW+x+JYUaMXbrh7RUQOejkjFdmieBe53MPy1VclHeJoG9 +4H9IRP9DATJB/kmhhyD/FKI+kZA4Xnn5vEO1rAJh4I05bVODNVDp7Olltz4G +QsAIlePujxpSt7+u5aNjkipa8E95M6TDjCDCxwN6ehTv6XAPzNZZRifs1kHl +Fn3HfRjyAB5lfmyx4rHOoB+qu24aeY/UZffx71lr6ZEicDEf0MZstjfE5gY+ +0PfTQK22biHFb0NgqDYodaaK1u+vE+oUU8BZqI/C86ZSxPxBAfysbPY05e76 +Acb6DT18FNZTAf8K6ymFYMEPVUCjbpUNckICHZMU/j0WKWDemW21shyl8DTA +bclnBf1enTF/KYM9Vp4VgxbSeOU3rl7KS8x32gj2msGPEOOXaFeAEB/LgpqC +vpaK9KKA3lb35rp3eAw/W/eP9J+jE3/XQh9RryKeatgMtzi06B4sTpf/HDiy +EGrcfOfk9+ANqfdTCvIrT/RXEyBFnfBsZRcVyasb7Q1azxwUUGXvn2B6zuK4 +TUvyAjY+IfZkyJGWkc8DA0l9dHDHUKtrefS798V9XsXpDXaIRKCf/7MfQ+QX +lC9Ge1QLeR2PT+to8DONcWitWE/kD92unYz60b4IKtT46ZszxBcGCnaHFh70 +fivkjbC9VNGeNNbbpYjtFoh1K7Q+HuUG1lvg+mAeGtfjiOD/0Hw93kc7e2vE +nuLV2amkPay/wPZQz2N7i4V4qYSrf5SS9ibt00S3GptE6Odt3z5TRrbNIO2d +w3oc8X2E2fhtBoEbzom+47sqjbT3uPie1W+HFNLeWlGvYXsI4/sygT5TCPy5 +dt8961OTxLhIshgvoPrRGM+h9fRjlLtnvV/zABzvbws6P1UHHbcElk66cR9e +f5UGdDuigyZHLqryfR6Sev5KTw5EBnR6ROirnhg3MPoBWvik3fgwue5r0W7V +windsJByTgGk/n+OkIcMhAtR/3p3d1PD7BPlXYZeiBDtFDWEHpvb7JdVhKiX +1XBCiN9HiPSqhgqW1dxrT44k/GCsc8mDo4LdlCnaUXmgEezfLDHun0f2Kxjp +Ng92V+zSZL5nLHS9oBhdY7EKtvic3JIlj4VTXyvclk1VQXTT3H1bH8XB4tpZ +TseOqMj+hl6H3zmsMdhLRnlL90vl2z0P2ZofS/ZL3a6X+U46le6XGmi773xQ +Fbpf6ljsptyxIbhPEeN/WpjYrFJ8s/svSLz2107vz48N/BbjUNtqetNImBfn +9mLRMbUYX1SDr2eswa96I9bdR0Gtlt0d+ziqoW1ercQ1UAgPLV6mvwp9AzOv +udUM36gHyYPFR5q3Owr61ZuOHGilgc82h2fI3IPF+nEtRH0LGPB9ri/s27n4 +WXkPPXz+4m03RnkW7Js2qr5pnga8qhY4R40NAfWXRU8m1ymCxV4bbaKyfUlc +50n7sjHHquhJvOtZ3RRpn1hP2L/vzdCS/GynN+OflK/tCZkNml6vsvkKtB3i +PSy0Mv0eVQ/rmO+NBr6FVr7LejdT5kPxnAu6HtFvoe2H3ulThroTv2vPnlFh +80LoeUaPxto2+P2WnmdUuHLI5Wet6fdLol7dOrrWlX6fe9LemN66gfT7JS96 +Hzo8+Setc0N/ROKy80VDM08C77ddcbC/M61ja9hSr/auHkPm+7bigbzRs2NB +d+/1c8/wILKPal+Nfyc7nqfnHWE/4y5MSHjw6y3sT242tOtFer7RmRfr90Vp +6flG/cbE16/X7xnZD1HYZ1Kl1wMyCIzjmbLxhMWIQxlkPE3WbCpTxY9+T8Gn +wu3Rlmr63snFM37cXkjPI3rRalTgteP0PKLBX4NSrJ/LID1m0OQ6jlFk/5l9 +z5X73lvSuDu+P+jihnnLeyrhzuoZy6rdfMR9D0sCkTHrO+2eqYaYnqmXO5Uq +MDl/6Fbu4/Htz9J93jc8LBaEGOwVHM/h6TVrTzlD940PP36tQ5deOjKfq+bl +575KpeejXivld+jilyKw/hZmP98yEnZN/lBKe8oNLv9cFNnlkkGv6na0b/nI +DWwqv727wUAPI/33p05tFAyf2885G/xJBRP3tXOTnw4CWY9Rpc8+KoL1J84U +vG8eDM6JZfusdgwCGOZXqdaRFOhU3fzCln/ToULYwfWdCpNh48CSBhPBL96q +Ra+L6SDbVffJyDx63bLq/rZV9xUw273cP+7lMqD5+ebZ9Wsb5J3X4nLBozJg +fO/jgxfI3eFx2QRN9fs5sNqqzTjXPhlwdrvPxvdRObAtfdD9alui4HqvhJVl +bipg9CbrOvArBzJcNg+qlq6Ao+PutVTaaOCTOI/pB1f4q+PywLHe6bL/fiiE +ncL76dBv7W1p+X5F4Br/fJlfuRT4Zq17a3FRDzGXzctEG/zv+h37j527Tg9z +1+gCvJLpObnJre6/jrhP9w9n2ATuMG+P+9XD4ev0qW2qLMwgcVFczz/jp0c3 +bq0Cn5iJX6JmRBO/oLjT5aUPzen5Qv+8aKPaUPMe911BHZjfPGU2e/Iz8pzb +lsXlshbQc4sulP3TxGV+NIkTH0xKXrtrggxyQ1wk5zbHc9+lSIDEmE5DqnWk +52baNRrn2fFXEdwZ7vPhV1Iq2BzyOry0ywtoW+VQsZ0qFZZK9QM/zn0JlVoX +zTxgTc/53tj4esb3MXS/8ohu49vkD0P7MxTuOXy/f6hXBDxqePX6eb+rMHvc +gE6NKqUCfK824k26PSzclzZw58xUiPC/o9W6PoCTXyzvdd8iB13MtDoTB96A +HQ/sFY33ySF9yqmyTcPuwex+cHrtJhU4/3r47+Vhl8DrXr9/HnrKoWGlUyOt +pvrD9uTXjXp6yeGAovNmtZ0/2PxqfOdUtg+oznlcTXUIhcWqo1Wrp/nC+6nj +mwVbRIAm8nT0/dVpsOF3RY8h48Lh0aShGSs0cvC54GrWp1I4LNm0QXbD+SUM +cNr789SSeHje7LBmkm8cud4ZeurA7Y7x0CW7b8DTVQlwqfcI68ScNFjs/bKr +3fE4qHMwMOrOcAVMmFDnxammiTDmq//DOSMUICm0adCqYyLUfNBoWMY4vYF/ +DWTXKw4uNL08dWuda5D14/zCXv2SwayypJ90SgK0gUD1VpskSDnzat+vYelw +aey3oqyNUignEHIhGGjaQNhJEHct+c+zPYXwYM7O0VYdksBy6LVEp7NaqDXN +Luri5SQI7Pe8y5O7Oqj5NL1bRKlkeDHxTPM7F50hRLv7eemMVLjTqEtWm/KJ +cH/7p9Vrm6WCxdn+Y1Jj82FoecmPzY8NfJ7it2dj0zAYen/kiTSDfxDfo9/P +YfvDofqwfxtFVMuDxjcbye87hsP68AuvQrrnQeWaoxbdquwLXqvtoxqm50Mv +r72D+9SMgH7y0D6HWuTDs1llKtUaqYCLfVoOOpAlg1aP/pmac0YJv0vE1E8Z +3DVQ7625KuhZkLm8fs18+Fr8s/Bw00IYcrBljwZD8mFh4J4pT9cUQqXGfRtZ +2uaDLPdwcvwWLTRqvquj9cl8gIKeXRdu1cGEQXUWhkjzodH8d/Xmv7sIL2Wd +Xss6KaB043dPa/15Ae9Gjowo7yqH1ZI3g6pZ+MP3y1XuFAfIIe/l0TvLlieD +7cWulqsMfmqx//xTTT4lwwSvj6XLdlRA9Vol/+5A+F7tm71aJVQcbFF61YE7 +0NumtOvuqioYc73BrysWr2HD3Sj/Mq5KaD+snG1kcT64b1pxvuhfJfypMWdi +xC45nO9xT6YNUcLq3OZVwnLl8Of7pUXmKUqQ11zc4kGUEurrb+TM6GmQH2mj +knum3gebDg33di9Ww6NKc8PPjEqFIQvkCa0MduLhntvOfHmdBu8n39a/+6GG +pptTDu24kgW+M/3KT59ZCP9YZvar450Le06cv33XtxCse7fe3L2bHur/Uypl +3ns1PEvzaNO7XByc/fO66FIdLTT0W3Xs62MDXWvn5I7tr4VyCapXzfYngUc5 +5Yx517Vwtn3GqpgxqfD7l0+dR7+1YLX+1AKnACVM9i1hEC2snZEbmNlWBZ7v +ni1es1oLgavW7Dj7WQ3vS6+3yS7QgvS4/8A3YaHwcotDg7LTdfB99vUK3SDC +wHduTv/a6aBZhS//1IqLB71b1ny1UgcH+z0w/EmhwtaJhj89bLo6dNdL63wY +N/HZtM2OOrheaYjzXvt8+Niogu6ej4HOS/eOL1gkhzoj/5m2pIse7jqV/JNB +2sozbw1/kP3TvPQIVxk8zTu2csKSVFh02fz7FzcDX7VK8NtYTg4OJ3I/6FYp +YWWNYw9HbJZCWPM3deze0u82oF/VdEOTzzZ1FTDWvnvrpIlviPyWWDZ3Szib +Suyv2eucH2y/RL9H7KPqYznzHxV53r7izeSs4Rqib0h+58qgKokdPIhfOPzQ +1pOFGUGQub139G2HF0TPoFz2X7Vzcdk6sVD78t6j1yvGcedZmpk9FeVXxaM+ +253uLafnjC95P6iWPJ7YLfj7ueASjSqBKhnKFbDpNmfPOUHcqA/X6gW+JfbH +2NbPn9SUJhH7q9fI9PmdhiQTfTXgmKJinRUZkGATXGvtkzBix+D4rLuX/MuH +moGlmgSWmkPieJ/DK7b93t+P2EVqx1Zzyx2n39PF/i+v3PCwvm8+uA3pXnPO +m2vEfsOrZFnIU//yKngi4IF+7xb1ZP/ZLZql7VGRcY3ZcNZ/yYVCMm+DkWGw +mLTk+bK1ripOPtbC8BLzw1/FnRcogcKle5uHddCT9Wv+553hj9r/4+02Vsr8 +qoPL/xzp9ql5AYmb4Lh2jj42d7ZKD+NOLl+1pT79vgA+55N10vWYKhiaH1Eu +3NFMAa4LrR91rBoLiw8+cvu3h4Ks40Xlh6mfXqog+IP1gBohUphbOHac8yZ6 +npbzu82pLT2jST1jntuLavf2B8IW61EdPS6pYVHg7h1BvoFwKDo5uopcDW1s +cqb3vhcJFaadf5mSowFt4oOEhNURoKyRdyc+UQPt9w7bNE37GI472Jubp2qg +U/OSf0/hoHn/Q+YGeRL7zPve/VuB0NQ340G/ljooHNMue0y711Ctesk/Ov9+ +31welL8sJfvbE0/MSns8gn5/4XKZ/OO966ihbs+o7U070vNIzIouZ4e9oN9v +PdjsytGkrx7cObHRECEo7gCYFtxu/XllFLk/r/XwBzO89dDwco93YZtDYOyo +7hOa1Kbf0cV8W1x2t5Azzw32V4c/Zd1jg8k6p8dErrvznn6Ptfj3lE+1JnnS +vLl4dWh4fdTT8kqwqNb3S1o5Lff9Ay2sqtHLufEIun/nXs/A3w5jNaTdlvun +BWVdpN9Ltf5Zdb38dhFEb3t9q1GXx6D53KT+lEeusLl1702te8u4/W1yONkh +ZY1zYToZ97W9VZutmqeA/poLkY9PyIicW1Lz5MPyV2RQ+9KMI64DU2CG+4qK ++hv0/K9PPZIGdMorgD456ofv49MJfU+6ZaVvGZ5Oxqd8XM5u5K0MQr/lmxyo +75KYAbGllSGdhkrJPJ//GnwkqroU2pwffuqLmwycHMaGhFlIYfIfzZBlf2TQ +rb7TyxsrpSCNX1qjWukC0N5oOmv6CimU//D29YRf+TBpQY88+Y+3sPzjkztd +xyjgY8OJdgvKpcLJrhulSQa4xCvZVVdHrmesz8T1W6oDe4M2qt5ZB8NqT29a +/V0RyZdj/Chz7YR6Z7e7g8xaXzslswgq/Rsnj3vgDDEf0zQ5SgPeWwz4tm7u +Axjc4G6tzd460O84smJCw2dQPHBNzQ67dHBtlvUdsyB3SJvaaJPOUwOpJWb6 +rVeQ/s/cbZFeGvj+1q796jevwMLghdUaq4Xrj0oINAh+Oeuv1R6phQvnTrRN +twyCds4Be8fb0PpljHcuWV+qXHj5aLh6ad/vTR4ysBuU6Xd0Wxq8yqnV+uWw +fIiRmJVpdD0dppVqv6t7qXSw8pnVrOlaBYTk9h93oCn9ntfvtxcKpjWXQcX9 +Hj53Kj+B3/eTLbc1lEFA0X515WH3oImdarx3Yxk4nF18L/jSA0KP2z9UelP0 +REHkv01EsNr9iQ4Ed/SbHLT1x+x9VvAG9G2dpp2uqIC4Y4H99W2j4I5gf2TD +tXVzM8BLAaNKPXPtUZDJnVOcBXUsUjbUNPgdeJ7PqR6+7681U0PbaPeIn7eK +iB650Lbj1hvJcugxydy9fWgw5DxZ+7JRuUzw2PhPuP9ZBTSfvaR/zoQsqNHZ +46be4JeuDIMJR+8WQefS5tubTV0MP9TH8ty0evBNKnUkLN8DkkaW6xHcOApu +l26UV63IC3YneM765BcFTQq/ve1e/gV0tYpbeLqVBlQdZMvnRdkBVEl13mjw +R1XJmZOcXB2hbJ7LtqSEIqgSParMBdfbMESxd5mbfxHs3Gfr1jrfHsZujg5Y +9kkH2V8ibOfsfAYVHt2TKVbo4X1sxRjnVh4GuzAuflqeF8zpe+RDlV+B4Hgg +VrLPxhOUdd43rr34Jeww8766pSAaPqWXSlomCYKLbao+v9lODXvbDPwD8eGQ +6WNtZj22EB6ujW99fGE0zPZc/qRh3CH4okgO9XRKhAUP30nGLdoAruFjDJ54 +AtQf7vD8Wk4QbJnby7lbzbcwXnP1cYfjIfDvlLBxXrHpcG6N8ofru2AYWeI2 +7kgDa4vUtV2eJsIAn+w/bhUyIXdjw2aX8xLhRfuj38YZ8OyR+/y+oocayjUa +2az6uAxY0GbEojYjCmG3z3LDXwYMdXG73nPdM4h8Ks2e2zgXiq22WPUdI4Hb +n5IWawx+/pDMKrdWx3nB9Vh3991f8+Cqw7O+Da97QofbtbITxufBtGoHVvRO +3g9Fw4pHfBxfAO4vr+2Y3mMRXJ6k6KrZR88JOVKj/03PwwrofLje+MqlcuGo +KmzF4nQF5DjXNOv4Mw+WF9UZvaK9Eu6uHlBm1sw8qDnyw4YeNZQAx//YLjup +gbwA+zRZeTU8CMgcOm9REVR+8ntTjZ1qeBlsdrhvgBbyqji42k1Sg830pmkW +V2VgefjqBe+mGshuU/7AxaH5kCVcNTA4seCxYnsB+Fs1ntzwmAaClzg6VqyR +CdsONTvVbVkRuAvtZ8Hp2MjUG6eKYNntmUOGReZA75MnxvaVFIHLxmZlXgVq +wLFF+RHJi4vg0KsDL29uNujVCS7lrK8UQYs1nxcsPVwEPrbbd01SGfTDtuab +6i96C1E/5rZye6mHmDndb3QwS4MhS4+6Rhfp4WDVi01drJTQbeGIq28e6cG1 +SQmDKMFNuOph3cTAF6kLM2Dv8N2zDnTMg4l7suslz46GhXGLN/qWVcGCIovm +78w1hP/IOZTXbIfG7TH40wdqzqvZVM2dX5YD/dI6T7Ux4P9RL/vbGXkPOfvX +DRQh4yqNrO5M9MWFzM/DZZN08LL16rONA3RELodtbHC5WZDp/u2jjb23BLSl +dX7qPo53D/8IhD5pTVum5qYSfW952vrW3ndyEs9Im21VVn8pE3wa73ZKNNgb +R9TLPinex0LQmT7Lz9ZTw/5Nn26NDoiDnXVWDz1umNd+P+9yvWvT71wK5uB+ +FZmPMS6mgiVCnMoNdLM2Tm8qUZmcr+SaWcXqVWgQ5BSn7z6xJY2MZ+e3l5fj +d6dB/QFVp6qOv4FzfqMOxd9PA9sVFksHLI8i+nVCSbjpShLB1/3m9Q7oqiaD +7vvySCere0TP9/1R6BzVwAWaxu6octQxDVbVr3nddugD2JdqUExP0sk+Yv8u +bd6H/Egn9lgFgxU+q3MGuPtWb1vJPIPI/XWT9vRvZhtB9Pf3vasMrl0EdNyd +eMM3Ix9Om9VX7QmMgLVLhjYo17AAEs1TF7zOpN8XCqzwtPW6elHQ7ajL9aKq +CrLPO6yj7o9kowLOlKloP2pxAFwYLe3lsVcFF7tELvp5MQC6tO575fgtFQzx +ijBYPA/hRNPzBk1eCCuffGjeU/EQ+ld3kMjzCyGzsav1jRVBxG67X63et7on +gmD95vY3u1ah9tS+RWfGdvmnEH6e6xg694u7yfexLi8cXrfdTS3BYwPH9/0C +6xYRO7tw24N1Rwt15PmVZW72SlipJ/O8ndJD32e4HlYn37jf6ZUUzrUc8HTs +WDksOvlqnGWMFDq8O+N1+6gc9gw/HzHJQQpbara5bn6vAP74BElndwuCT38K +S709UwgDuy062r5PEDR/1tLL6nIhtLR64F600R2Kl4ebWcca/I9xMdvL3XeH +ZV+Slo4v1hJ/8uT7So289+ngTUJ6xzbD9OBcOXPI8006kL2yGDhOpSP+eH43 +m49TF7jAsL5JR4Pm7If7uUOq+N5wgdiZboN+DD0I2xOmXIgK0YJNhaHSZgeD +oJfqVODNn1qY9G/h+smuQXCornPfDTfyQZHjPf6yCz23fbnj0Cfet9OhghC/ +SiP8mho5bXc/BznoLg/608TyGfzUll40ZaUKjkFJgPoErLasv8vcVwUbpnhV +LvPYGxTrtuZ/DFWB9PrHx9EbfKG9YGCkweT3Jy0CZgYTfqjRbeq2Ky9i4LzP +FI/Y0VpoWWqFs/PZGDi91dVxvm0RTBp/t75L81g4vGbwCcU7Lawc1nGTpTaG +nhtZ4k7/ioVmG3cUDRxu4Cch4BYr2mc6aBg0bF87t1gwPHTz0SU91B77cbvH +7DhwCbM6mH3qFuztGVa1/skU4v+6C4ySBJFZNboO26aGlh7+U+U6KXiu/i79 +NF4Dbz3c6r2ZmgSliuov+De9CCaumVrpZFoSWJqtbdewkhK0522/z6+dAYm/ +hnXumaWE/R5ferZsnwFLev2QnvmcDhN758qyCzJgndcey13VM8AsLfy144ws +mBVcHPD6ni/YP2zV0rZvAdyt/WXgo3NvIKZazR5bttHvQDwqmdYWGSS36+L8 +8UculD1r0zt4owymFJw9c66aDOKXlL7ke0gG+x1u3LaemgeRFkHq4B0yMr+z +R2sHvxieD5p7PgrrZWrodTdjYAPLfJEPNLBKuOZD4jz/n6O+XIZFPje8L25T +QPmowCuD1kbCzEMDvZfVlsPxtKtXbh6PhAYFpZomD6TnKV5Ifh9esa0CHjSV +XXpdnATj+7VMUzdUQP2c55ES7xQYNPd54xm9FLAwQFPwcOArCLeq0mdNPSW0 +EeJ/96C4Xsl/1IQ/W/cIiYg/qoYjB9qftVJKwXxbmkPzXWqw/XLoYreMZNgT +G5/21FkNCb1/hk07lAw3hYGpCf87u7UwUIYamvXeGf8p9i1kwvfDufFqWFaQ +c7l+nQyY3t+uOKlxIZEPP7IfB/bqqIWumxvfSjsQC9XSSxIYWtjqpD7bLjkR +6h5bdNd2phayHr54tfr0W/BWlmo/SqMleqDtqRE7U9broPQbT+8VG0KhYZjZ +kxsGfTiwJDx2MAqqF942/Omgj0P4haTaUqhk0ch3+CA94b9J+1dK6z3WwWsH +AyIfyOD47/HTo3frAJbe3LnlRQFIjiuqXC2jhy2TF5844ikl9Qno9+af6lzm ++j0N7HwztNLCrGBwMFj1YfYaeNBtbb2r0hDY+bNXzqKbGmhiNvXr3dAwGGRf +Y8xKg59j139nl+F3w2Dj5nbZn57R83uF8eYWwed/+t5tEOgNd5t2qjnCQPdz +A2O+7bvkB/2/F44ONvhhUcNmJp7a4wvjt5Wf1FxTBOFj/e92vCqHsKsWsoe9 +PEEi2Hv2MD9B8m3lGin0EvJb9nCgRJ+tk0Lm3uq9d13UwhWvE6PdDPoxRHi/ +CLYsO+77MDYJrk5auq9eMz0U1nTxvlI/GSpWnvit+VM91O35vmulHvS7O+Z9 +865vrJoBs/qHdt6TFwaXY4a3+tcmF3peKkmw+UB4iZsTJoNxsRXcu6/zgZA8 +7y911TJ4ELS57AmfE9CxgfPY1r8KoLryzuIdG89AwpT2p+oZ6Ft18kKFjJt+ +cGBdtVvDYv5fWVcCDlX7vqm0r1JUIksJUaTI0h2lkq9IZQtZ065VRaWNPiol +FEpRlCXZ95S17NtYZ6wHwxgzVGjPf2a+nLmu3/9cc13TacY5Z8553ue97+d5 +3ufuxuISb4OU+0+Qlphs7bakF93np5S5dLei/PSnXPaBfpQfPJs95Ub73/mi +H5InT7l8jqtDWItg6dKwAYxK9+S5OjfgOu94Azg5QY7zqgb7vw1+T4K2zCip +QTrv+INwO74v33seX7/JLatWa+JsAhoz1mnF3r+M2uFlYjvnELhp4RVyRNwL +A6ZSb08sIPAiIOiA75KnHLu1eJY2n4B0ivYQMRqEser0dbkz+HpRouIdXhb9 +fL3ncdzm69EdbPpvPo5HeB1N3sHEbYHpjwu/l4GqJRsz9VM/zgzej5IuLCPj +ImN3Aob9aPz+mzfU5eWvmxMo/+6w/fW7Nni13TTwNCPIPjTrdrU7Kuhyxm95 +lbrdl2pMGqmsUdDh67R3p1zbtaSvD9pcMz5QTuLEcfy5/w03IcnEwa2s98aF +BeR1j8+no1MuTZLbVoA9i06xkqYPQojy7NiGyQUw3ZffJ6c+iBcxo1a2MgVo +8dBp9hVkQOtEz27V+nzIFNL2fZ3NQMBcF7NWrUIovNmvaFzWjwmpx6YpvSnD +s8GESy8l+vCocQZxeA2N/P3xKSNC0w1pOK0dMLdBiQrTyWPeG1RZJL8Z/JMq +0LKXM37M43vrPOvBMTIJTS++TjUc4zivwf/G/3Y64rjhjxODpH1viknbtYAz +j0FjdDdlEwtxdya4LGvKw7I31Zry71jIbe60ZinmQ7hMQ6RMoxuZWdyNinNO +Zq5OZt1gMd+xme+okIzv+H7n3SDqxN8m/Ahm47HJb+Ehbn1FjaGH2kM2fo0K +5PXGtKJkYcQhCSMCS6bepCasbIV7+zfqWg6/X5mxon4aqwo63VSKkTyD7Otq +8DdPXGSg1VaTzsY1ScGiNvFE+Kgyyi/tZ6PCRaA+70EC5idfmLd8Lb8/pk3w +eUa/JgP955o+ri4rxrfE7Na6dQwUXbEyma5fTK7/Tlq7NOvo2jJQ5nyx+Lml +Hz0OC37Msy5D+IFuj+iZ/TDSaKHN1SrDdWLabLUKBm6GSFnuFSmDUcehozls +BiQ15nm/XlkGtRAB54q1BNmv827yZO3HKgTGNl67K6jwlvMMokoIVQKTpZNX +VkzKwbxKEwOr9QT+GO7MyDn8HsVXZYby1Qikfu+60mfxDuJVRgrzR3rgXqVl +v+0TFX6Kgd/kODi5pVAoKucLFWpEfOIS02Z4lftuZdjR8aDuSICnCAOjuPjV +vbYQN7Z8V/24hAHriGkL4v2L4Noz2fmnUw9SLv+OFdS4ian5e1xWZrHQZfza +5ma7HxlPX+P92HPFuntIMLfXcYgbH7/X4Ro6vXXiqUFkDNp5vlVOQrkfw0nx +xiCZ3xhfN31NkyVCD0jCbf+jA99rkkBsM7zW2Z1Ffm+X4o2xQvFMCLMCNiqE +JfL7Sb/2Fbut2Ez6C/nqrYnmVRz8vHvazdW9eehWoryQrOXrqrlZe29TMKUj +J6lYbtHqWtz/Yk6vMaP/Tz5jCPLW4kbPHlQi9OWSY2f66JiuzzoZu4evo9wh +tmutlTEFAbG/JdS8mHhz4HToLrs6sm5DPcIiI3d/HQR+CZ2vMOzHjynD85wO +0bCON//2k+NwnGcYT/AW2OZKw+/Pe0VL5pf8jz5PCQZNtlhmxnTD3Nv/S2tN +O7oPeAStsyVwymy93vFfbXAJHjWLsCCgE6NztvUkE64FoXr3j/B1rPyiM85o +cvZj3oaVzoh5i58zR8S6kulQfKx3vbvnLfm7zA13fp2fGgGqUZ0J5Xcfbsr1 +5YqsjST9ioLJWxvPwRpc+tlP2O1m4A0dx1sO1cBNW3V/+lYG6T90CxSyZmUz +MNnyvOHdmAYy7thUmH+J8poGv9Cnug/l+fdhwYfc6CGZfkykL6jcEFSLI32x +Xu+O8PMjIa/TXTY7DGDsYUOVw4sB+N49nZ8byYJPyBxb55YB0g7HeZiNvVLG +jzIWvHPfpCRNLccOxducf7FJ3v3v5U/Jla/ZSNujlbpHqxkGz4Y5r0GEBXO3 +ZtIOipJEK7yz40g//56XD3pDvl93s6EQJvF4n2/80Nc0ATt5vLqY5PNhhz2j +NsmX4JJFv/Vvy1jyOq323/02vCIfQ1e2dk8bfUvivvO8+pgcvOLFBaoxtPjL +uRfu78CtQoj2rEGW0D2ZYyPN5Pcn8/gRFe9ebTfTJaoh/WRsoqgIFRmLTzQ+ +s6jBHl6AIZfEsf3RuavYk/JwwcvUzJGDV2bveUSTdOTrSLc9TNVccaEaEzq2 +HXCZXo+EVUOlE+I559FlMo+sakCerfyRbgcq+f0N0nbioec4/Lv1aZe9Tz0E +4lhCLutrSNyrwaUZ+2vwvMHnV808KhbLxf8KL+DnEXjhhEoqZnDTGoXNMG8T +4zAlOgw2V152FaSh06BaPWH9G5J3p3Cjvc7xsLzHTTi2kfxNilcX0EXysWBB +x+q4zi5ktZ7tnRvFuV7Bdg7yo0N3ZZJs0QQaWpkvj4de4ef1uFGtdPD7E779 +d5/0YDa/H7b5gJXM2cp+fv/CNqaqx48Bkm/c4bDJz7cHyXhIiWphojJnvkzf +h9rbdVFopkdGuLk/gu7f+MM3qQilVe7heHnuOe1SCr9/3Sl/+ZSZ6QRG7y0+ +EzrWTPZbSxbJ3j75ERUTMk5vVRHowtLm14/oflToVMxqX5fZRPrD96oHVgQX +NYHGHNI1McvAhO9L7r8XbEZvSCs3wgW9xT/V1C99xH2/kYLVi86i4pf6gQjt +JtJeJ/LsqQm7efljP7Qv2/D88NkmtOSsZ02cF4+MgFXKsm495PdFisoVRpN7 +yPjU21nhhyavyiB5yPo61zDN1jR0BxbG2/sVYleIYkSmXhYCosqh0VSKua3R +rpvnVpDf55VlrSxHewk3QV0An8leaj655ZgqUWAd8m8RNjyW13d4UIHLtYmn +phuUIDDCMvvDpQq47C9+eLm/GLHezvoyglXk+BhOCszzsK9E38SmReozKlAn +oiK1uK0Kv950PlfRqEWVieZmM47dMdSDqzbFlf+NJ/B1tbOW7/r9dD+Hx2Zf +uxWWzpmvRX7MLnMm4KqrPeugZxWmp1MnVHN4cfjY8sQKVg3er5jkNHiUgPUk +18hA/WoYhZqw4tc/IsfLOG52X2rro3yKgmv/FK4UlM5FyP0Z29KsKFjHLVtb +n4tRXt6agp01flZ/NlPxyCEt8v4hCn6e9Jrj/K0aiW12H+oojbCc6qFt84KK +9eKl+z5ENgJttRwkRUVcprfPI2d+HzK7c5SOuGQqLqjal21ojEV8pv8HMc8W +JA1398mJvUbbGt2tj1614OmuO6dXfygkx5tndBlrjmoh9nxX9l5l34KRnP3X +ju8tRLav0uj6xBZs8TbWlbUrQtFdTX2aXjtKmnP3Xn3wgRw3Gft2b9R9UUvu +70gS8+gxrAXtg7OrrWAHSqT1Da4+qsUq/5fHHX93IFjc4My/HbW4u7Ik/PTv +ThCRjwuXJdRiqHan/VzzTvicjZiiY5z+P/p+aRg42ni8RL6L/P8zx6IEVz8l +4MerS+C/n+eGaZZ2YeR8kmVbEIHOT4vrxZW6QXHP7TR+Q0BeJltTrbwLnfcf +fgp/RZDxuGdGzNJZlQQuL924vX96D5jfhlOL8ggs5oYRNXvQfaLqlAqHz6lV +ysalG9JhKZpeI9BGkP5F+rIG20CoC+Gft4us2dOLQRWBK8MjBISSFpXH1/Uh +qMHepo5zXTIBq/IGZ3N4l0uXcllRF97rFu6Pf/aAvI5x+4kJ2TdpKKYHq69Q +W/8syObHR48xNzzYF06ed/x+XJWfdrnYsRcyQX2DjqkEuHD+zbZevA7IEhT9 +SoAXtjHpRfTcqicLFnbD86P2hfIbveRxL5qqCQ9V9OLigek+pYxuRDFuhVyJ +6sV1bjiki46yrOTzF6f2wea2v0NOHANrglOVnR/3QZaxM8S2iAGqqfzuyrA+ +SGTaWz+w6UB8a+xg2qt+fvxMgZvY5uCD0g6obGODR7dSGHCylFIw3sHGo8i2 ++vhUBjpELoRVNA7i5IY81c/L+snr46U/a5jospZx//q2G8Flf1ScgpjIfbu3 +roKDX7lVX4XvmEhQd2uJ2E1H20BlqsdXJm7wAm10fOKGAz8z+c9rzfmCjXYD +WL941Q5FnV6EP9H1u71mAC31M4c+GTCQfsetLCp9gLRr+5/XfwWIsxH7W9Tn +wqoOiDZXft3TxYIxt86ppgOO3Hq/aWwsl0l7cianE40tBg539Ni479xupfa6 +EykJp65d3shGYZWB3lZDJtoCb8kqn4wg8VuTxFjx2rgE8OixNZ93zs7uPesQ +nEriWzJeEnxERN23ELkemXOnj5WRn68Oezs9T6EZhVMXzfmonU/evx0LH+Yc +2vUWYzVuwsz8HpL3WrT7ciN1eMJ1RwVliOS9Z5N1FePvt2SnB0WPlCBqudBv +N0uCxFmfXfaZvHbzIXFcn/A3uWse9kiRtP0pmFYFnhkxqvC046eJ8d5aXHex +2amtWE2uLznnMEf140W+rut92+fv/evDsJ5bRjmtESHhmpYLK5+T61tkdHb2 +qboOkP52nKdPsJpOk3erg955P+aPsgISd97eGWF2w7CWzDPZX9j+44s9EyVr +M0K1b9DgY0k/1N7eD8/7NxDCwefeU41/SFqkkvnmTx3eRUHDteS++tBLkaGX +N/l9UI7lLTyWZwpZU/vlpvZd5PX85tYvXurCeRcDo/lZA1jNS/h14RE3DebK +Aq/c4E0XlO9XFckfHsTuZrv+0z+70LqHG0kcBK9M+xdfD9lc/txEZXYP1sbf +tdAdyyZxyPg8fWXS9quTtvdhX+iy+/ZbX5D1O2/mXG9orKdDyMaiI1Coj/w7 +FBtzzjhep9dHvk/ghhFy+qDnzwXefah3/R0ceJ1BHk/qibzA4dEWEieN1+MI +bRI954t+qMYt+P5Cpo7EbePPefGOyjrRqwPYlx71bukcBkRkZ8fnvBogjxvL +hXe3BvCV1f6H1V5J+o1x+1Mc/d0QXMZGF7cM1L0boxw0+fIzm5z/6PusQiQo +bNzzvhU16RwThK+bfNrsJMy2WBmplcmG6vkFzQM1+TgxR4/F2M/G9OpVfzYE +5EMoWHubuhFf11Z9k2BVAGjYrbV+8jzRDkhXCBun/0PD9rpum5JrHbDhWLWk +LcduUk6kfVjaiS96o8dGjGkQnVhJiw7rwD2PwOGen6XkuthZwnvPXsgqBaMh +3Fhnai8WzVb3l+4pRcxM2xI/w16UPluy5eGeMmi6KVLPf+/FJ8XCjL0zyhC4 +SMzRyKsXy16oxZoF8dexaf7FD//Fexh/695zQdVcpRcuzNev1WhUXdDfzEQM +nQuMOOP0r/+7K2L01S31I7Yv7Iq/VMLEib2/9WYc5a+b053bMSrV8xonW2Tv +KnkyOWPi9Saxw/FYYb1xtr8Jv+9epkK1odEiNvR8j5UZMPPw649fR5wKG/EL +Z/k6H83BQ40R9xMcf/iZYr8ESuN5hUz8WrAs5KAiBz8RMhesS9KhNCFPeu4q +Ass9usrZWhlY8oFbiFwGyyCXkNTNbxEQMe+Ewxm+Dre+XoMeO2MQGibM1RNc +C6BpoeRyx7af9EekzviPnFvvbpfBteEsk/qnBv/K3xZZLthG+hld1ZxjTkPt +uBxXMTFYspaMI244mnXu+FgHCgP0fR4I9MJd496h5tB+WF1pO91a1Uf66zlh +Ne46Agx8mpn0j/f5AVyonCRlAgaeaTBuOr7qxLW50c+6+/tJv7H6+RJ9wVlM +FO33b55G64fZ1Zajyhwee4M6e+8rzv755Z9izTn748cPnergR/mHhVSLHs3T +Lf0k772z52f2mrFX/6Nr9hLyp0ZWN+33IuP09+J2nZjdTIULj2/2oOPv+ouE +hUcTFx7twbQ3HdPfdFCR+OakOq2uG7GDQhnbK6mkHSRaH/8x6EeDcg0XqTNx +k8OGJTxpeHFLTSWNzcS9V5Mu7rhPQ/KLqOFQtwFkCOpqzQql4arp6PZi4QG0 +OVge3+ZPI+OklJvKDttk2YjsXaekPMKCmVhpbc10Ntm/USE1/MQO5TxMWRp5 +28VzAKl6za+/mXH2X7ldy+aur8hdGyQ88AEDn6aWaKkwcPTaCQHLio/oqBvM +XL6rC/nR7WcMn1Ax+2YdzTi8Ce68OFAK/HJOFw1FNoG6WCSqtyMF3taCp+Mz +E/CYyV0QkAw1Qt9wlmkizBWbXEz7UvH8zMTrrosJ8r56Sw2Z3BUjoKNjmPe9 +5gX+ZEV8thMn0D5ZOvHRq2hMLBIPtknLx5z8LP0RVhOSZ/y7M1Iq+S8e6ESa +t+f3lxYf/8ZDCAzzcD8H91VmWBwyYUIl0OvJz4HW//Ivj1mYx50+hfvAmtJ0 +5Spr8O+6ETrpB8f9ytd6dvzwGQrpP7mspjiTAl752mka8lwmb7yZwsHjVxK7 +RW9TcNRp6FnQjW5Ir5PMrfzWAN4yGE06nnjs9pwYw/EPpot+rLvRh0mBU6OE +ttLJuPm4vs5zPYUIvRgqVr5Id4rz5edtrEsjrUojCXJ+vrilythBdxwfFCD0 +V5+w9B6C9Evnjz93bFxBkH3NpftYkyWuE+Q8oRHdVHzBnyB597jdL52987HR +a749mV0q4rxoZPx9o+z5SJ9WGs7EyAhYio/r1hL4cP2fowsPU8h5Yhy3jT/f +1AdmjsdT+HpKCgqUyQbuNDCzmv5IChBoHK7vFertI/2PuuHLX6PsPmiLf1c5 +3sDvg/5iVZRtn0M5lJat5zxRJuT/8lxWxrVkx1ImJCkHZ8luKUf5ZVfBRHka +6W9yRAMsEpVoqJ2ZqnFmCV8HcTE3n8zhmRqFsh+9FnegtO+4RawDgcCLkQ5b +T3dAanjdHjkOj1084aax7cZScl5fcUnFQP1QKXTWNrne9KFjUeEjnd7ludAN +f3dRbAkDDdK071eOvMaivzhTzy7qtNCTPLI/7n+4PA9S3Ol5OxOyFQPel1Pz +IBOlNeOSAZN8ThfH2pjOJxn4yMtz1YIHV+wZuBJsJPy1vxajYclKn50YcDzI +3RJJXckIsdzAtT6JMG368yPAk0XaSULvvhd/OHje6cA8yhwqB+eW3wwNe8AE +201o0VP/MnyfHbLGa5Svy6zKLQ+nsLBCZ9pKc0oymL+23c2sZOH23zwSj05u +YJPnPbTe5Nys0TxyvHzm1ZHTyPqSZcvmb9ZbxyJ12/LDa7xHOHY78FDa/3Rh +K3ZPGJMdMiLgWrBN9L1aGyTqS4zM9ozbcTUGVlSZ3F3HwJ0Z0YZzZ1Vjltj3 +E4sVGZBSrhpgna1GieRkDnhjYHvQMxGnY3yeJy5V7zA3soccTyM3jfXjpD6Q +dvDZL1NUVjGL9OtXJCoP3Mp7SvqBBTwgOT5+HsOpSJVJc82D+w8bSYGhfjSW +BYh3rEqE9VJa4+LtLOS+uCKQtSYR7w6qeUfvYJHj52RVbsM6uXr4aqWXMl++ +I3mSlEo8UTscxY+bVZ3ZHtvSh1VlXzrYr3PQ+m/NXbHWPmSkOC9XLcxBQAax +Rn8JDUnNumI7p7Uh2veELkuGhhv6LeIRfm2IulGlAIFSFD6SevmBxeFtnR9s +LYQJOO1bHmscEED2H1Uejqqe4J+Hb3NrOcylj7w/UcGPrSQulpD3Y9zvjCzj +xmt94dQibNxv00PmG307eq3iUppJfOA+YPHLVuP9/+QDciHGLUcVpYBK3Nrc +Kk8lP89OUnliXlFNxr07w4+Ux6dFk/xinKc98wneVG3UAvnOjyy1HfnkdY3n +N5qf/3DVDuhApHi0zBP9JPL5vur9Za5z8iOJE8bj9P6ztW3mMQkyLp8x587u +6OVdJO+IWNGbuCe4l/RraVN8C08fZ5Jx7WNL1n4tVeyHctZ04VuNbWRcetzv +HGvxcf8nnUWe71T+2Y4vYgM4wZsY+DrS49fVuW/DxEBHNmI0k9tFmzpJP7z3 +L28YP2/vGDtCUY4OkROSMu83VsL+VcraKhU6ts144xnzvAqW5qPPN5zqBdcL +vT1LwQte3UQveG7kAQXnZTXUjU/2QVVAOi0qkYLVlwNs9on2QSfxYZDdEwp5 +3zfy1qd2ojl1j0T7YRrZX3XpwI1byb6U/6fnODRto/ZLDTrKlSTXBXiWkXp4 +/kUXmbkC/HWU/817eci1PDnyyH28XiMBary8Dr/+IsRXqqjqPRPV3HTVvA9k +naHAO+7CsmyyD7o6D6/TkcylPcur4WjdsnXiBSYY5u9Ytx4noc4K3V+9mejU +2XXS6Xsq1mxcbajxjAmFS3bWsZ2ZYNoKOcYGMrH1XdDPeUsyMM0nbKpPGIG5 +63bPX7e7EbPmRpqnvCYw2pB+R/JjExa9lHY5tZHAKYkuiU9n8pHovLh/Bmc+ +tihI0ty7s4CcJ3JZvSdfmNUgTu5YU88uvj78eB/lXqgny26kYDpvXSVfD35c +r/RlgpyRmj1fH75XhelRdrMT9LHnih8EP/4/vfiYZuoXAZFuXOThyEHSbovV +K6hSJ+rw+l8iYr4wHSujW/L0XPl9xnqfqeycLEbHtZKywdWq5Xg8a9aks184 +9pH7xOlLFQWTClpOhJbScdHupOHCfyiw2t2v4PyKDueXOZVumymQ9dk1IXeM +hv4jDy/t1+P4c9cVkjEWBFyOf3sVpliGfde1lxdz/LjptM8By4xKUCD7T77s +PwQun+h1PdH7Ab/elkjEmhB4ukZa9MKfYqzR+yp9djUByos227VhWUiNt7t2 +SZmAwgbb6trvmZCb9ixx73ICHWPBj144JyOslrbbmbP/LFNO6sDZZHg1vX+U +tpLzPGb5Eb8bUyH2caKdBWefpZbz5nlQKuoOhhtUTOHruY/7CV3eej/+uGx+ +6C4rJ8MARe5yrdxlAgsUE4UVE2uxn5df4eAtXn6FAj0xYpfVLQIFdraxzQvq +8GDpb0UpL858EVU/O6GXAoWpv1/QgjjX91zCz8C04e86LwI8dypRj59R935E +cfZDauVDa+XrodD8QKn5AQuW2an7s1Np2NMWt1lAn4XhXVerH7yhwVOx2/97 +7ADC3OdliYbToNa6YVLMZBb+LNvsdCuahpZW7sZCVjZ3o8G2Jd5QQZINrW1h +h2LzaNB2l9v6JJaN8sf1by0qaJjyMbre35WN4p/K9oHFNPQFeke3FQ5ixm3L +f7930RBKD9zn+2oQ+xe+q3LqpMFaa+JdmTmDkDPJuSVdT8P031fmKmsMwl3B +8FRxEw36vPwQBS28/BCBkYPEaSVtCnpnr5T7vLcLi06zk2dsp0CLyyuv8vXh +P3oemb9QuBudFZJNo+58vfg5LQfkHFtYOO1gKE5cj8CUzweKXrFYONJ4TGXt +9pj/wiwcPO4QNbDmXGYnKnuuyD9wo+Hmoa/mD753QiN+xdMFd1vwxGx+lc9W +AoPK83bRZrZg0d1NzDSOvaooDg55vC+D+svPh7Nf9mE4InRlU3UZlE9zF1z0 +YZnzOnNhpwqorSucuGwuAxvU808dGSlH/sOmkZIZ3HVpVy38tdmwf7L9g7dj +Ath5qLIIYqDT2M8u4UspdgduW0S5y4CAzuRufVYppIy4A4Gvty0jzd0ISPLW +uSZihYn0chPOvpX/+sP+6xMRzVuQydff9sw83KmkRcBt4/OZx63yUL6mbWVk +PF9fe5at40uWLV8P4JtxhNscfQJej5bfCH1eSM43F2y4dXpFMGjz6j6+na93 +naO+sSNpC4GGwINW168WItzb49E7jn8LlQ74sOt2AV6xNdOaaBSIOQYLDxb3 +YEvVNuqwBR0/Lm6VLjpSi/JV4UF6NnToWCvGqHDGi0p7un6zIYF1N5YxQqo/ +YEZhVOEXdQ6uvn5tfcGWXMgap9R3bCDwaFON6Y3eXFzn1m3/acIXLn7cz+FJ +wwrNFBpfn3pcx3bOoiH/SXp0mMSX1AnGMPFKtPH5jbpsSHDL2hIJaJsuu5Pi +0IyUk2+pdAkCa/LVbslaxZG4QeL2500XDOlk/5mm+SZV2m8S4Gl1eN5KLb6e +7Hh/GZFLFIdPInlQVvG4mjN1AN4VctueCObhUAv7bb3kACqydoqFzcvD5cnT +Fy7g5h/dGpzuCFDxMfZx7/zNDBh8EygIeloCtcQxX+Vafn/bOjkJ+sJLNLhp +mAutmUJg5j2jkWefaBAdGLozzLnvOqu/p7zPY8LUa4eTyexcsp/cxf2PTTrm +0P/+HgLRFiNe7X5Ush/Yubc7JCzLOfgjSF/vI+fz+25Loxs5n59waHv3So6N +7JkDtOItCVj7wO5HTWsZim8KeYw09qFBsXbCQT869OM6xAd0KJjZkvawYRsD +O2N91O8tKcWInWPb4gImHE5tEfNTykUza6WH8VcWLlM0Q4Q94tBsY+dxN4Pj +rz+//GeCEhUZ2qnUwoI8BNhuuc3lQ2sn+3h/7iPQq+RI++BLReCazR/lL9Ng +liSwG3M584eyT+DyqES0+HlG3g5mYcYyT40Qr3yEN1Td/cPhxbse/7G+1k5D +mrON+FHO/WkcYExUCCvH2cfO125PZYBtNG1Z5QUG1P50Fxh0lHL85h+9Px0U +JJaKt9q29WDI0vugrV4dllr6JJ3n3D+xlY42Y2uSIXWtiDZQyoJN9L1P0+zo +MI3a/2Ntay1Oztr+LWGYCdFnTkJPvuTi/wCTG0mZ + "], {{{ + EdgeForm[], + GrayLevel[8.673617379884035*^-19], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFUjtLg0EQ3HwmJl/uywMCKrEShURQ7PNQKxGsfDSWakQr7SxtBatga+Uv +EKwsFXyRGGMhFraCb0hn7QxzIGRzd3uzszO338j67tJOYGaziD5ENzR7RNwl +zU5TZj2sawBMx81SCbP7mNkRgJeB8kHGDD/rx18Hda/OrARMMWs2g5phrKXI +7BA1Yd7sAJx7KdVbVus37j8QK8AEyM2BowGuZZyr4Kgg2uC8CMQzj/UcuiaR +ewDNNfBXiC54s9BRBiaXkfZmUpozOJeQj7AmEUXU/Tr1px562U6Lizzkb/se +E9By66Sd3PRP/BPyb044nnu+F/tsJaT5M5LuRk66ecc835JcxKfz8voObD2u +HH0V8noTvk0sq75TkTxRHzHENv2ePdjrC5hReLlx8kY/zLP/EHhq6DHo58O5 +8i3qfk8+aq/6N39x8k/vnAPznHcb/GehehPHuw7yP9H/bMv+nci5APyx0zfF +GZb8HDdCzZv+2b/u9SwCf+Lkv4D9OParqF0CvuJUS39jaXncDFVD/D7WgVB6 +Wrh7Tkk/tde8fuZ4R3zL31P3H0lBYCs= + "]], + PolygonBox[CompressedData[" +1:eJwtkjtLA1EQhSeb6O5m1zUQiK9KFCKKpDcSCxvBLtpY+kIr01naCjaKrZW/ +QLCyVBQUQ9BCLGwF3+A/EL/xCDkw9845586c7PBKq7kVmNkIKIDeHrOxvFnU +ZbafmgWZ2SLn28isVjJrgPVYd2Xq6wRt0Wyb/m4kjWsbmA2gTfGrwt0DVXrH +8FvwHyN5VODU4W6guaQ/Sq8OZzmQ5xT1Jnd31HOBPN17Bgxm0rjW3+jhraHs +v8cuIecftG1wEJp9gwqzp6CdM+vAOaUeB2ehODX8DvPKIEP/yfki0F0O7wm4 +q2CB8zn3r6nqNe5myeMqEcd7PrPvMs/7J5F28t2fEmXlGbxxLoMl6klmukfb +AVXqm1CzNmPt7jP3McN0QZl5dh+p3vIZirz/jPdOUbu5Rzc78PvT9MM/SpSJ +Z+EzxSX9N+7xjtdLopl8lnaobB5i1Z6RfwP+LXgmX/B/AW7lQyo= + "]]}]}, { + EdgeForm[], + GrayLevel[0.12864147175702784`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFlU1slVUQhk/vT3t7v/vdW+MPoptWDIWyKNGo0aCLYqgXFkaTYkLiQtGF +IWrShaZu3bjSBSYsMJbqRhcYTaVIWlt+GpBCgY0xVXQB/tH6c7EkhmKi79N3 +iIuTOd98c+bMvPPOnJ7nX336lUJK6bRWUWu+LaXPtdZqXSqndKw9pQXJ4UpK +n2hNSj8q3QGtPW3+d1T7r3X2SEdKO2UzJDkr/UHtT0hezFP6V86/z30W+/cK +lsdij+994R95MPYj+rdbslf+f5bfpr4/1fdVndup75bk+UZKv2h/TvJ42XEQ +T6b75mT7di2lQ2224Sx+/glfxNqru6a1/6Lis/ggbiQ5rq0bl3fkZ1fF9pzD +dijuAjPiPK/966WUxiKvscCK/bc6t6A1ofVlwTlMSQ5q/aX9WZ0diJzYL7db +P5eM64dx731dKX2j/f1djvtiwTE82ylfWUpb9O83xbpJcfTL5jvp+vXvLelz +YfKa7E/of4/+j5ec43XlOi55Rn5Ksl+R/YaK9csRwwadeUG6TfK5WeuU/LRq +zo888UftjkTdWYcrxnFF61q7/XFuOOq7tcP+weF3+Top+WLDumuhR8e91BAM +dgUOzcAOrKgJ8c7o+92i78A/HBsNfpIfuZPjHXXv10hu1LkbZevvKZn3OwqO +GT21Gg+MwOFG5IM9tpfLri+666Endr6JH45fChvkQvjnHN/ciY46or9Sc0yd +XcaXXB4VJk3ZDJbdSyer8tdprmyTrr38P4+Qc8HDy+F/d/QS/JwIHtILrGZg +SE/gqxmcIiZwu1BxDcD/1pL90I+tgnmPz6pi7ZPdYs2+D4Xv7qKxe67N9dkS +NSI+elPmq72+LzhD3eEEeawrukacpy/QT0WOfBNzK/boqUtf9Bb3cY574A69 +T0wj4v9e+X1feO4PvIkfzh6OGGaDu/TFKpbh5+/cHH+z4Zixg2P3yt/tRWPx +R3B4a27ej8ac5M7Z8InueGC7I7AmhqXc+F6RPK0e/Coz9vNxB/7PNjy/5iW7 +xYG5zL0EzusC6yHpf8pc588Uz3b5X8ydM3G8of36Ds8fsHqp6vu4666Ydcy8 +c3Xzar7uGQoOZ+vGFjyo3YHoe/KaCE5Rlx+1X8o8oz9CVo3vU+LJB/p+PPdM +OpN5LtVzvzn9NfPjasGzjRrBN3J4uWx8eqPfZ8KG2QPXieNh+X9CPgck10ve +UvXsLDbsAzzGdO9k1RjQT/vD/0jcRy06cmN+t/I9VfPd3Q338tF4EznbjF7m +3GDsmangvCd6a1v0JjNhOWYg8xduM4ewZWZNxrvWirn3WMP6zTX3PP6Jk35u +xhyAU3vjLPyAh6vvZc1zqJabr2CzRrqHlPeDVffbsOQPmd+lR3LXs5r7ncZ3 +qeFZDJ/hNTVpBea8hfCkIds76+Zee24+jMZ796RwfiBz38HTnqq5urFkXzPx +/k7H+wUP+H9z3iH/rPl/K+oCjnByLt6OgZgVz8j3r5nfcHDAHj4x/+AG8TRj +Ft7suenwybmP42wruMfZlZj9U8ENuLc9/pMDNsi+2N+mGBYzv0+8u7y/BWHT +VrfNUrzJnCH3/wBw3mh7 + "]], + PolygonBox[CompressedData[" +1:eJwlk7lrVHEQxydv3+6+Y99uJEo8ml2VbGJQI6IiSIoIKikUBKMIaUQECw9S +KPoXaK0giI1YeBQieAYRwSIRk4124pVKjdlV1MZ4op/xWwzvO29mvnP+avuO +7DwcmNkAEiJTFbOZotn+yKy7ZLa23ew5+BSyBnw+NduQmJ1Dv4408VnB91ee +GGLvY/uD/rVg1gXPZo/h3wOSzODbgb4J+1Z4+sGX+e7Gfo9/j/LycV/nTLDv +gfNGm2p6Cm7i/yM2q2PfG4n7YqxcHue2EJ/uSD4f4HsYKKfnvoptJT6jReVc +h34Qjmfg2+S5gO0W+iSz+EIPVXIeoq46+hy+JzOzMzmzmwxrO/gN/3bEin0R +KXYXcicSx2Psq7CPBcrxmXrGwWfh6Ie7s2x2DH0Z+kJwX0k2z3EC/pbPl1w9 +vhzsg8hx8FLkeyZx/Bf/1+BO/GuhfNzXd+a785x94OlUNXutL5H11HoNfTTS +Tmfh6AjV8zhcARy9oWbos1yCvpxcDfpdDK5kwouQMngefKfhuwTXEHIU/VWq +GvyOpun5N7N/j0yCa4luym9pBJkAVxNhj+lt1y36/D6R/yezHI61T9+x77Ir +VS7faZMaBgP10MrU2xXkbqQefYY+S+/pY0m3+tZrLepmfae+W5/hHHgAOUCO +bXBspJYEnTB7Qr9ppl7nJ7pF77mFPpbodpyzkGm3VSQAB/S8Ja8Z+Cy+4b8g +p5kWnRuZMN1EBo7J2RPpX72kN+Zvzf/Nor8jfiTRLv/fXFm1FfCZAg8lemP+ +tnwGq0vald9UG/awotvxmeXAjYp242/O316jLC6v2Wv/B94mjiY= + "]], + + PolygonBox[{{3396, 2978, 2672, 2263, 4146}, {3395, 710, + 2350, 2406, 3394}}]}]}, { + EdgeForm[], + GrayLevel[0.2194576613261465], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFlltoXVUQhlfOOTvnln1O0LRVn6yQNJoUa6oP0rRWjZj04kOLGhAUNNS0 +hfokYhWseK1CbQRBaQUx9V0QX4pPtqWWniY0sSJSo4h4bRWR2hSa4P/lH/Fh +MbNnrzVr5p9/Zu+Vjz+1bU8hpXRBq6h1NUtpvj2lGen3la1/XrC8EvpCZp29 +b2l9Kf2A5Gy79RvaUtqap7RDDt9tpjQkP5d4J59HpT9c0ZJsydcz0p+QPKb1 +T/ivSl6O/fOhE8+MZK/Ojctvb4fuk21K/muyF8o+N19PaUD2XbLP5dax/S69 +q5TSb5LntXqwS27Su11VxSOfP0u/ReuRin21lX0vEv/kc6Ti98Q/UvY77MgU ++0uZ9evS/7i0Fx37zWXjs4SD1jeRI1iTZ4/2lXXmVJt9DIcfMGQP+OBjNnDG +L7hkkpliv6pc+hXfVOb6EA/YD8VZ6jMb9VouDLt5r3OLmesKppxfr3Wi4Jg4 +Sy04x93cR61Go67fKo6JyAVs+gIfFvrxgmV/+FxQrIta53SupTpdr3NzTS/0 +guSyzpQ2aH9Xp30fDf/DgTuYE/PqirnTFnYwKxV9B/531VI6o/zOVixboa+S +vKZmLu6smgdw4EPpn8m+Sn42NcyTFcLpMdk31x3TlGRPzdylTtSbGv2k5x/r +xmW39m/XnlH5XFYzt8Bmszg3JtsWyZe0PpD+KpyEtzqzX3vuVM4Pyn6P7A/k +5vve3LWj36j7Q7JNZMZzIvoQnTOcvTf3M3UG/0Oy/aKla9IG4XtQ9j+V1znJ +LDPu47p/W82+8Xcw7ipEXc4Ij5M6s1f+fpX/R7V/pG6uMA/gDxzbLvv3sm+R +vlk995H83a7zFZ2/Vc/lhnsPbME401ote0nynaL3MBvKERsYg+Vk3XhekVyr +s6/n5hF9TUzUDz+npX+hOJ+TvFY+/667Pvu0/5Tsz8v+nfTummtJHX+QPKz1 +ccV1mK67Fvh6s+hcqNuhwPDZ3Nis6XB+k5EjnEMnvi01+8Vnf9G5Meteyf2e +POg9evCCbC/k9r9RPnPh2dFufuxu+nln0/Wit0vRr/TAsZjJV6N/Xw5ewS9y +ID/wLMS8YrbdJo6dln2tZFF+h/Ep+XbmfMkbDhwIXjFnmDFfyf+gzq+LmUOf +MAuI4XjsY09LvteUXK+V8rtHfm6S3Bp4vaHYni64tuA51XCtWw1jBU7MFfYw +E9m3r+J8yfHJmPvjTeNKfpyZjL6nFsR1Kb4pxMtMYDaQX1/UlLwXY15Qp7/K +9kMOpajj0kyJWcoMOh7vuzrMK/j1R25ewS9iHQuevBdxEu9Y5MEZ7oSzxEr/ +0HPgjA/yJ3dmG70MtndFbTY2HRfnljhWcC7n9XwxN+fh/kh8O4h9UPZh7Vkn +eX/ReIJrFjwipr6YzeR2hzhxWNy9u9N+8QlHqSGxEWNXwz7xfVmJLpd+Y9Ox +YOcM34nx4M36dvOGZ3jHzCJn5sZ8/EvUc8dWy/294W7ubSmWT6r+DsCrryvm +Nd8X4qUm8J1+oS6fav+Kqn3wveqNbxbnOA8nW+ED3pyNPgdLONsKexZ8wSff +iSNxJ3Wba3MNXoz/HP53iIMYBuIfYCo4gzwXM7YvsCE3eAbfqDXf2Wr859RC +J3d6lucdwQnuGIj/CnqN/PE/HX1xscN90tdpTIgdnkxHPMSQRTzESLx5xHxS +uL1fdc+sifnAnCBf6vtfznPRX9WG8ao1jBU9Bl7kNBF5DXS6zkO57yJ+Yppu +OqbRpvm0tDc5b+rWHf+fQ/FftBBzjl7mP2Qm/qlGw88ZycvxreSbCdfgHN+Y +hYitJ/5vpwIr9g7GHNufe3a8lnvvYOz/F5P/a9M= + "]], + PolygonBox[CompressedData[" +1:eJwtlElI1HEUx18zjuN/Zv4zQ422nDJKLZNcTi1aVJChHSrMIChoNQWjU2RB +RrvRYhAUtpF1L6JLdOvgwUmJOnSw5RDRpmVQHSrr8+V5ePy+7/f293vvV7p9 +34bOiJm1QAVQLmvWUGS2OWr2PWX2JzDbCtVztxDqCs3akFXEzW5kzL6iczFm +dgGqh7+WNPuXMBtHfg/9MeRVnBPIdyFfjf0m7Degs55YV7jbDZ8oNLsKHoKe +k8cw+sPgBfj7TfxKfGyB2rmrRR6i3wGuRlaOTiuyR3HXjSU9V9l0E28G+o3I +bqLfTMxtgddYDB5Gdx65HIA/A00n3zL06/F/DP0yZMvQ2RFxnW/Ie8ltEFyN +fQ2+9kKt1DAY8Z6pd9U0M0ibzYc/C38Jm+X4S5BPGfwaaAn4PvIJcCPyKPJz +8B/g+6AjyGvgL4MXQjn4AnxWFXi8cWSF8HniLuKuCNxErh2B56Aa92a8V7fg +j4dek2rTG/6CnwZVRj1H5RpPuy/FVOzTyOvoRz/8GfBb/LfTk2f4bo74m+vt +1RP1ZkXKc98JNaG/FGqMegzFmob/QxG/y4F7uLsrXWLOTXuNqrUTf6X4Pq+c +Yt6zJLIv0DxzH6Pgp9jMhI+hMwSejU0Jul3IB7CNpv1d1LMY+GPoshz8Z/Cn +0LHeQG/xBv5wxGfsNbg59Fo0Q7mUz7BmuZv6R+EfBD6Dmr1eqC7rs6EZrwU/ +zfgsK8c8uJ/+7ad/Lyd3bCq4h7s7RT7De/DVx90TcmhBfir03qtH61JuO5L0 +WZUP2RYnfDfk4zF4gvMnb1wed/xeseJ+NyfjvVWNY/i+TryH2Lwgvx+Fvrv5 +hNeiHX6H/4GEy+SjIOOz+pd8XmG/KvQ8qyZ3fS36bYHXrz/jZOizpxk6EbqN +bLVjI+B80ndIb6SZCsEbA5+tkSlmK7PeE8VYnPXe3A68NvVIu9mc8L9GOzo9 +cB+yVU1tGf9bNDMlKf8D9BfozzlK/BUZ303F16zk0z5LmjnNnv44/XWz8HdQ +u5L1t9cfVYG8OuUy/YENipX23ddOajf/A8bOpbA= + "]], + PolygonBox[{{3313, 855, 2410, 2716, 4149}}]}]}, { + EdgeForm[], + GrayLevel[0.31027385089526516`], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNVllsVVUUPa/v9fa99t53O9Fi2g/RGmPUGj40ISZtNQzK1AFCHPpFMAVM +FFRwKg6JilPhoz8OsUbiR4U/ISbSKqkRKRq/LC2m6eQPrRGTPn5VXCtrkfJx +c/bdZ5999rD23mfN7md7nikLIWQyIWSxzhdD6Ae9Iw7hWD6E0YoQtuZCWI0v +g28bhKujELqwNkOuHnQZ+G08m4qeT0Log7IlfBOQeQi69mF9EboXcG6+TPwm +7M+BXouz9+DcLOjLQXuUaQHdAP4M6Gnz5swfKpP8Z/jWQM/GnPi0L4C+AvlW +2P8z/i/i+wQ2LIN3nLZhPQC7GyF6GvxO7P8C2/eaXwn+VHkIk+Xyoc9+7KcP +2FxdCOF3yHSnisOZWHE6VaGYUI7ytKe8KN+yWPP4WkFHRdk/Y3/ngmycxtoK +/Y9XKfYj0LevQvs8d61M/tBn3j+Fj0kjzRgyHuM37XOPMnfgvm04fznVynx+ +k5F/C2Ur8SZN+bXwpwm8iqL4Gefprlj21iGGd2KvC3oWsG7H3u6sbKhPdJY6 +eG7eOrOJ8wT+pUgxZZyqopUY/w2ZRui8DXaOO46N9osxpG+NxiLzTGw8YHzU +F0XXYb0KPatA/4W1IdYde1PFr2Q8PIX71uV0T1ssTBwuKu88O+371+dkA3kN +5lMP80E//4mF439j5T+NhIENOZ0lBrjynzVQsg+0n3FkPB/EegFfCfufQk9P +ohr8EeuvwMMZ4G0Quq/khT/m9nWegcwA5F8D/RPoD0F/DD+vw4aPsI6Vi0/7 +GfPrjvst0PcS9MwEYX7cMqwD5pL8Szj/CHOBmGyB3hcgsyuV3awtYrUT+4dA +d4A+GgtTXZDZavkJ0Adx5/mMauoE7l7M6AzlKD+aCneMK3HyLeQPs2cEYZ81 +fNG1MmQ5+tRnm2+vhi+QaalWjEZcL7yXtdznPnCfewHzTn/pN/O1Ja+cXTCP +drI+Rl3LE0Xl7lZiwzbT12bc1wThLqxbEp3tAP98oj7DfkMbnrP/Z9lvKuQf +7xu0nczR85F8Yt/6Iqv4Up6yjANjTV471h3Qf4QxSKSvwTq5LjsXrPGBvPxg +LLnf4bvWG4dfx8p1J3w6kcrGVaxl7B/PS8dQVrhhHYxEsokYZd0z98Qo76Ud +tOl790P2Rfp90PFfthxl1lkvc0DblpzrA5avDCv+0OaSY0EZ4mbRPm6Gni+N +J+rvN5+2UP6Iz42Y/gM2lcOvBazn4Pse2HkuVV9jX2Kd9mZFk8dZF27UaaQ5 +xxm3JlXds88t2gfeWxspn9O2k/FhvvpNU4axZszPpsLxkHvjd6ntiRW/PZ6t +Q+7llGHf2OYZMZvIvjmsS/DpbsyLR/H/JNYNlcohbS9GwhN715RnGWuQsaPt +uyD/MnrBppxmAWVoF+tx0nR7qh7F3l8Tafa3GY+HjMkavwFo+0iqPnLaPaDT +/YQYJ/6IPc6KJs8L4pF81vJbiezdBx2PwbZ7K4XjVwqylXa+nciHd7B+lVVu +hrHuhExvlXLcg7tPgncMMk+nisP+VO8P3v9wLLztdQ8hnrtv5KugODKGnAfE +b7tnWTA2Iuz/V1BPYT9gnTFfrJsB1w5z3mWds+5djGNLUZh/H7bdX62Ztgz9 +HaCvQuek31DEG/0jruocc+b51YJyzVwyRxOeUfv93mA/G/QcYrzYw5kH5mC7 +31ofQM8TVbKXcWL8aGe97+K97L3su8R0oajeWYq1X+uYM2YnfZZ4YO4OeZ4M +eb7zHcka4EyjXzX2hTiq8Tsy6zdSR6rcMEe/gbczVu2y5/0Av8cK6tmcc+yX +Y4lmEv3jzBkwJrpj+U/bedemm2Iw7JiyjjYnwuJcKtla21Yfa05sxf6biXz5 +PJXOas93xuOa3xLEcq+xwRhxr75aeyXXbMny7B2c/yXTw/Dpz7zivdHvhBbH +J7U97AfEWbP7H/se+w5xQ/zkivKL9zAXkd+ZlXz3xZI9msi+4LqjP/TrDfDf +S6Tz3UT7Gb8b/weV6n0N + "]], + PolygonBox[CompressedData[" +1:eJwtlEtIVGEUx7+ZO+rMOPeOkJrhokbpsSijRUH0UBda+UojsMKVFGpBQVZY +2Yve5YOIoBYFRQurXUiLtMJIs6JVRgWZugqjgoqgIKvf6d/icP/nO4/vfOf8 +z0017li3Peycq0ciSG/Mubdx5/oynDuPjCWda/Scq8HpdsK5BdjqM52rwrkz +6twI9l0h51ajvwRvxDaKTz+xXdizs5x7SuxCcA54InCuFt92YsbB85C6iM7m +gge4fyY5KvG/RY4p9PRMxRdFlfthTDa7o9x3roH68pFf1PcN36Xk2oKejd6N +/Qt3HUDWo5cRfxafbnLVRPSWorhqtTftJ/cKztrQ16CfIX6S2D1INfEfoqrJ +amnh/jmB8lQjs8HP6MHasHpSif9PclVgu0Y9x8n1OinfO9hfgacRswQ9FxlO +6O3P4+q99WCMmBC2POQJ9lPo1z3ltNwXyfEnnd4j1dgGkCFyt6J3YisnJuWp +R9arJs6aPMVcSirGYq9wdgT8gnpaiC8j/wh4yFfv+vC5gP8DZDPvq0Xug3Pw +GcS+E3sHegn3NaM/Rg4Ru8zeDK9G8V8OLsbeFFKNB9ELiJnOXfnoKfAJX73a +jX4U3MLZVfSA/NvA/Un1zmq4B54VqNZyJAV+5ItbNvNB8N2kuGsz6QNX+eKG +1VgJ3kQPN2SKy8aJLs5ueuKkcbMgELeNC4XgrUnVYsvyg7jehHoRRh/HFsen +KCLOx8Ad5OvxlHMdviX4zI+oJ8XgEFya/M81u2dvTGeGVyHN+GSma2Y2u8O+ +ZmUcN67n4dsKXxaR741Tz6x31rNj4DZs+2LKNeq02z0xcdd23GZqs/1qM/M1 +Q5ulzWgl9dYhNzy9wd7ynTsnPdWUmxDHjGvGmVL0Unb8HHcM8/7F4JO+dsc4 +e9oXB4wLxvnsQL7dyOWwYmwHbBdykE++ZvpvtsR76BmBuGI9joIbqKc9ph1M +o48TSX1Nt92MBMprPU8LtEO2S8a5z75mar23fS/M0kxttrZz77B/9FWLvdne +Pu5r1taTTl//NPs3/aaGqizNYkZMvbaZ2NveRzUbe+NUQv8q+6dWEP8X9lSu +RA== + "]], + + PolygonBox[{{4132, 2168, 2877, 2587, 4124}, {4054, 2541, + 2388, 2053, 4066}}]}]}, { + EdgeForm[], + GrayLevel[0.4010900404643838], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmG2QlWUZx5+zy9mzyz7nPGeJNUAwkNImq8miYpmwsZoVBZmJsJRWFh3I +KWAx7UvqkDAEzYQvJBCIOCOpEIvxKs1U1pSINH2pIIQFNl52hV12F1I01kT7 +//Z/MXy4576f+1z3dV+v/+u6z5h7F0xrqUiSZG8uSSo192t+VBuTtW7IkmSj +1kfTJDlWlSTtGr/V758qJcn0QUlyg+al+SRZpnGX6OeJwSTRbK7wHr9xviy6 +caKv0zy1OknWa/xAdE/p9xe1/wfxHK95u8Za8TitsUPrZzSvE90x0c0STV/e +/Kfqrhfz3q/Xuld0t1Zduf/WoHlNv9+j9VGtH9T5wxqf0/qs6G7R/lzN/5OO +Z0XXnFnuLq1vT8y7Pfj/pCZJ7q5NkuclU2OVz0LTnTf9jMQ8umO9U/O9otmh ++WfSeY/OLdN8tpAkT0v3fdo/p9Fa4TvXS45U3/sl3x8lxyrR/Ulzn/Yf19k2 +0VSWk+Q8+mj/W9qbNsg2Z+Ybv12nO/o0nxDNZ0S/WHf9V777pPbPa//xouxW +4TNTdPaS6HqxbeZveOD3J6XrZzW+p/PPamzSmCt9OnPWBVuiwxrtv655hfgv +0l6/+D8tmSu1d5X4NIvHcI2viW6y5OiQXn/L7Cf0xobovEBjrNaPys4zax0T +B0phE83jM8fTlzQ3V1uvDp1/Oex8XGdXa10nvqe0X697Nun7qQr7nzjYqlGr +cwT7fI0jVY7BDmTIm/7unP1yPnzzZuYzpzPHCr7Hfn3hP3Q4H+vvik9ZNJnG +TPHZmHeMEj+36PwarS+mvp977tRoFb9fav/r2hsqmT+i0aT9x2THc5qPF/37 +mqCBH3xPhQ7wgs+vQ/5rE+cJdM2hS1/IdjjuJP7vqfYZ6JGFs9w7NfLy+1WO +656IZ2zRE/pC3xS8uiLmsQnz2ch37Hkg+BMnf807x8lv4oMc5879QTMq5ztv +0/oBnZ+d8z3bIn/xHXv7w0dFxcSN4lWreWTZcfrxsuVpjNz8j2xer/23Msve +G7pczDmfOsNW2OmOnOOnocpxhW0mVDl+NsY+Nj84OEleVYxuKVj/pojbd3XH +MHJNc1eFz67UPEK0P9aZk4nteiRsOz1ylvxti33i8B+Z8fVq6bI2b98jz28q +LffinLEH/ELH58GrxLrMLRmf5mmuLDqvxpSMLftDzgNhc2w5UjQ36rdRmidI +n5+Lb3+l98B/sGB/5jMzMmM5uIGvod1c5ZhEj9F50z+HznnjBPaEhpz8qPSZ +JfsMKzuuHw6cmSOaZ0QzW/OF1PXgZt11qGhZDmq+hlysNH7tyhtbsRV1gbML +dOc50Q2XHEt09kyFffDtnPmeiTXzrPA1/oEG/x6LPOW3UZllujqz7VeH/cmd ++ZFr7VF3uBcsJv9zZddHfLdd46ey+6uSZ6nmlmrHdEvkOHciw5NF+3VF0fG1 +Me5CNuKP+BlSsGyn4gyxCq4uz1wv68X/+rLzebjmxzLXzj8XnR/oCJ/psu0W +7T9R9P1ngl9dwbxnxrpc8B03p+YDvy7F8Jka166OkmM2l/p7X+T1SdG9o++D +mqdWOg5OiG6mvjdofSi1XX6l9Snt36ScmDjYteUN0byrs4eoQZWOaeIZGWeH +X7oDV4g9fD4n7N+iWrFSsh3V3juZ+R/WXT3ae6LWMi3U/JXB7jl6A9PAM+Ko +LfKOnGwL/CHHyDXW4Afx/FzIvSH0WlXju7m3Qbx/qPXaasuFzMRbU8m1e2Tq +/mTZIPck94t2/GDXTuJoXcTwI9pv1f78yAf20Z2+Y2GNc5vauKjG9bFR/p6E +HcuOtbq845R5fsQsmIQ/kLtBthhfcI0itqk9l2sm+cw++doaed0TvQ2Y/5ru +3KPxUsE191zkL3W7LWrK8irz4Sw+fCGwiR4GvMWm1FB8SK8B7fLAnM6oAdic +GFiSN49xmddf0Pxe0TyPEEvSe3WN+1EwCWwawNLU5z4ffevSqE0NoSuxTv+w +MeoyfQlxTAz3p8bcSZnjG35f1vr1ov23Susm0a8uWK+HtL4/cnucfLBBMn2j +7N5zUvSiYHVj9JnUjFcK1pNeitikVyMv5wWeY1OwEfssL3r9zdT+RtaBPjl1 +fKUl4zS4R8zSK9M/kNfgIPujUtda8npm4AdrMIS5LvapY5ylRmBjejl0HBI0 +zYEPQwIvwKQhsU9cUT/wIxj3QPQI2GlL6Fsb9TorGVvJk67M+EH/yH3/0vfb +oj+AnTPjbK/mHdLhkvb/nbnOUJ+oNXupM9pvl5zHS64TJzSPGGTdB2wT2DhC +85LAoLsy27274NxfG/2awmngtwH8Fu0v9PsHBb8dFkZf+9WwJ+vLNlwb6wu1 +7mX+KR7fSa0TfTEyotebOfv/pbAJNY24wNePFO3bh4vGdXgiD7a5r9q+4Bw4 +xdn19Bv6bis6p/GByAb80BA5Tow3R59M7WVNzNOLgGETgyc9H3zBnXlVtuec +guVAhtFl9wsTwPzwC/7hDu6m36WO9UWP8my8Feh33k+NEY2S80jRMr6h+XDR +OLEtNQ5MCJkbIo6gQ++m0J33xOmwM/lFPg6874ruhfZoHlu2jceWHKN14Vfy +Fvq9QdsTuTYr3j4fai6VXCcPpK6ZxCo5RqyNiFgaeDvE+wGsvy/ePrw1hhau +5NDQyEFqA7FE3dgUdNDUp44T4gW+iwNLqfnE6sroE+qjVwAjh4Vdbisaby+l +fgvxJpqQGQP7Azea4z3bn9ln+G5U2XkJXvH9l9Q1Z6RoPlb2/jVl6/dQYBq+ +BJfB5MZ4D4Cl1BpqC29AcK4vagS9Jn3m6JJ9gC+uLTmHOiKP8EcWsc3beHFg +PrY6FvZaUeNaSDx+WjItkjxvp67X9H+89T4R71zeu+TxrugJeQvuDBpm7rhc +01lPjn57Z+zvzrueQd8W7w1q2fa88x+ZL8hGVyFD5h60NXJ2ULXf6ZwlRsE7 +7NWT2bbY+BWtV1JfNLeUjOPzNVekfou8n1n2lcHn95nv/V3mPmdd9ALTUtcC +asKOkBldeBshM3KCkciNHry39gWudkW/RyzxjuItPDH+D9ka65bI//aIVWIR ++tbo86mdvGN+FG+Z6+P/BP5XQK7zEXsLohegjuDzvSEbsdAS/PeGDOyjx+7o +J7Dl7vAFOm0PGv4H4g1DfQNT5kbPxn8S1NC58b6HL/wZ4Bh60QsNrnY/BM+t +4V/+g1lTfcVG5DE+PBJ9IHh4JjMGUG+R68OC5ezRub5a5zX8HgydVweuEwOd +kR8To2ekBwNz+R+NvuQ9Ykq27K01xm2O3qkueqUp0RMdz3zvrpRi43d8ZWp9 +2wPD6Yeo2V/MbLNtEQMfZO5zj6V+H2N//DAj3nRjxO9i5jgkHsEubIzvToe9 +wVv6afrqv4v2rVrXkO7M/+dNCXnpTclT3j/0y/xHhA3A2i2Bt/iJnMV34Cw4 +d13Z9RG5LvvtZOjFm6A7eiT6b/hhQ3KF3Dse+f5y5HlnZl93ZKbrDPvfEP9V +dmq+KXVd4/2ErctRI9D1jnhbYS/sVlH2/vqwyZ3xhsbX2GNDvAmobQM1LrWf +wQrk/T/UdQBm + "]], + PolygonBox[CompressedData[" +1:eJwtln1M1WUUxx/uRfTe+/v9ntsfmBKYWuZqvcyyBZWWtlkrVwpOKiurZW0p +YC+rLcuGw+gPUwk0pWjL7GVBTcxqK8s1UWv9U4FALAkMfONFMkUxtT7fnf44 +u+f7nNfnnPM7z530eFlhacw5Vw1lQm2hc2P4HYk71w6fGzi3FsEg+AdwEDm3 +MMO5aZyF8G8jr4QfQL4PeTtnF41ybjdnq+HHpp1bjMNHoYvhr/fObSVgBTrT +4W+CHiBeJTgf/n58rML/eOyPw+cFxudAQ+AX8bkd/jDxZiE7AM7BNhv/f2F/ +hrNN4LegOd5sZDsN/Vz4F9BvBOdDM9FdwdlO4v2IfjH673A2Eb4I+ZXo7gfP +xXY6OA0uRr8jZjV5CNyG/F7k44g/jH07eAvy96FT4NvAtXGLqdg3eLu7fMr3 +jeAPYlaTDsVGp5l8AnRaIruD7rIZGkG+DbojZne8E1kuVAZeAs6DXwSVgJPk +0wv/s7dcGvFZgW0V+X8Wtxqr1ie81e49dB6GPwylxpgP+fobm3LwVvJfSj7D +4B5kqzi7hn6eDoxXj9XrvNBqrRqqlnOgsgy7UxzZQnzuRdYz2rl7kBVythT9 +eqgIXEKMD4lVjc5JcBHyZcgaoAXg+7BvRHYe++3g61LETdIL4j8FxRLO9fP7 +JzPVDX2OzgV034S+8dZj9bqcfIqRZZDzEHgRug7+Lm+11h111x3Qv9h+ydl8 +ZF3kczzDzrrAv0KTMW1B3gz/fNJyUOyD0Cxvd9GMvYxtA/Iq5CVZzpVCg+S/ +Afx7luX8CfKchNku42w88qPgPuLN5l6nvc2aZuwRbzOqWV0AXQXfQYxx6K7B +tgp5a2jfss7qwOegB/E9oBrCT+HOL+GvFCrgrj6yb7sG/5G+5chmXzOv2Y+h +Xx+zmsXhj2l+8NcJ7oO/nLMn8XWI+14GvxabIfgVUCH+z6LzEfZ96P+ju6Rt +N8jHCe46j7MdyI6RbyX6qwOb3a+gX5CNhNY7fTNnQ+uJerMB/e/gf/I2W+q5 +er8utNnph2rBu7zpZhJzF7gVfAq8jti3k8sf3margxh3YztDM0FPqpHfAj8/ +sLtoBt5AfknactM3cjV8dmS7ZQk+tmgfQMPwg+hMQfZ9aLsrTs5rNFveeqGa +XvD2DepbHIu/k/r+vPHaMdo13d58KeeD3mqkWilGG3g3s9JJvt+CG6D6pM2U +Zkkz9wXy1qTJNkIRuBHciexAltnu4ezT0ebjqLfdop1/BL4mYTbS1cxuhN+W +tBp0/j9zmj3tqN+4azd3njDKZmAq/EDKclBsfbMtuiN8LzQ3sDdGb4121Hr4 +SmyaMm3Ha9dXQM9l2Nnr8HtDe3u0I7QrmqC+uO0U7Rb1XL3X2Z7Qdox2jXLq +wv6KtM36Y+QyFf7alH2j+jY1x5Mjm2XluJ9cZ2NfF7c3SG/R+cBmRTvuXGA9 +VW+181cSrwp//Qnr18f4S+F7JWd16ik04O3b0Q7vh88jhyfwtRzZpfCvRfaW +6s66e4+33a43Vm9tc2RvhXJSbpppzXaN+ofupLTtJvmcmLZevZqwfa6e3ezt +7dU3WaC3hNwK0NmMj32cvwKeCX4X/DQ1GfH27WqHnPHWM/VOO127fULactdO +0W752tvu1c7W7s5PWgz53oTOPHTWp6zWufDPwi9PmawWujVpOSi2anYkYTqS +aSfOSFqNVVvlmJO2XmonZ5PbMyl7I/Q26E5NCeuBaq8ZLwcvTtlu1bvTG9ku +1X+SHvid3mqpnaTdpB2pXak38hD4P0WSVYY= + "]], + + PolygonBox[{{4155, 2963, 2432, 1190, 3694}, {3692, 1188, + 2430, 2722, 4148}}]}]}, { + EdgeForm[], + GrayLevel[0.4919062300335025], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmQmQldWVx7/X3a/f99bvWaMRI4iWNWbGGFBEUFtFkGaTLYkTtoBA1HJh +TXQcxcxkBNRM4ohRQSOOcclEHBNJSks0CWo2l0SFVgGhWboRUFlVJCxG5//j +f6hUva/u/c537rn3nv2cd9LUmV+b0ZAkSUNjkuiXDEqT5MJCkqzIJ8kiAdbr +vU0IK/Ss0/wNjVv07eHmJHlQ8/bUOCfkkmSTxo2p8Zi3B3yDxg49M0XvNa35 +ntZu014r855vTbyuMzVuW9Blzzkl0SgmyQ7h3Cz8R4S/sMH0OoN+e+zHvhcL +527hDMv7+8bAuavZ8Kmisy3O/xPRKTZ6z1TjMc3GA6czzrwh6EIHXOiCw3kW +NhoH+hvjDMyvKCfJmKLPebfOP0zzoYK/rO9v6Zmv524914vPa5vM+xH6PlxP +h2g/JtgfNO+pZ7/2+UjPdTXDflDR3qI7V+u3a7xfNK7Ts0s4PxLsXzVfpfXj +qknybdH9ceZ92ZN1U3W2rjrPB8LvXpdMBO+mcaHGf9PaDVr7aYP5vEjjjTr/ +8cJ/T/hXa+03Nf8kvj8aOEdrn+d1tql65uYNR1b99H6Bnj2J73pPavqc987U +5+S8d6Xmw7tas0DzFzX/stadpucVrT1LZ5he9hkH6T4V7bdffJgg+FLBfyv4 +RM2f0vx5zZ/ROFnvL2r+K86s+XLNL9X4tN5f0HxJwXu8LPqjdd5RzdbPM4Vz +VdnyOV57/Iu+f6b3ifq2RXcdqOdBzS/SGU/Styv1rVfJd7hCNK/Wtx6Cv1Lw ++dljnL4/KbzfCKeXaJ4o2K26R6dwluoZmTPPZ2ntGK2dJh4PF/44vXfXmuM0 +/lzfxzSZlzP1zBDOJaI7Xt/2SNZjBetWsT6il9xlsnBGiE4/wUbofj/U+iHC +66/5hXrmNHl+U5PPPEW4PUuWQavg8wVvEfy4itcd0vff6dtXdOYf6Ftjo2UB +T6A/vDngResZOgadgXrmNdlujgnbuUzfTy9ZD/6Yei04Zwh2edm63FS0LWFH +V2rP78Z5pgnWu2R9yhetl+gk328KnHEan9PZZmi+TOOzeqYntmXsGD92QE8Z +XdLYo+B7bRfOibKH7wjvJI1LUp8X+OiQw4ea3181zcnizdPCuT/0dpfusTi1 +Lo8JmxiCT9Dzez3aIjm5yTqHjNA75t8Q/B/0XtXaa7XH41r/1WbLdXtm+Aca +H5YfWK31P9H4nnCOFXyocD7JPF+j8yzS2Z4WrYUaPxT8PH1fL/yf6VmntT+t +/X1v/N7I0H/OgI6MCDkiE+bIfr743V+87pGznIYHvCwe9dK+lbr1pTXkiG4h +95bw2yOD/pH9Co3+3ho4/6wzHRTtxTr/Jq39dzFqmuAfiBf/o/k+zbfqLuOE +c45wxjbZHu7AhpusHy1hq9jsj6rm8xdT79tF+3XT/AnRy2v91YI9VLOPurFg +P3XEH12T2E/hD9EZfNP1cR589Q0F++u/Zab5aWbbgB93iOYhvXcV/KDGF/Us +Fv4LGk/VvnuFc7bOtixvOO93aFxUsI+9XeN9enYmvvOPw7c/WbCvZz6q0fSX +6C7jdY6Z4uFg4q/GjXqOTqyb/xHnb674Tv+rs+Uzx8hiZt0vhf6Pqtl+Rmus +N5iv+Bl8wdOh238U7afw1Xnbx+zUfh/dfypwtklP3pSevKq9T0Y/SSpEb1fq +WI4trdC4rOh7InO+Ex/7Cfaf+naq5m0af1O07KH/XOz7uzhHTy2b1OjYRlzr +X7C/x/7g5e8171NwPvOnyGk4I2s5J3GYta2icZTWL9CesxLrNX4a/e9bcNzo +DB9GbEG3jxE/p2r+Ren8GzrnMzrnvcgsdbxEjt0Eu65kv0Gc/laz/T73u7Do +O94U/hdbuVnwVsFbcvbNwPHJrLss1q4WznNF68RC6dswvT+uPV/Q/PKS7/mq +xl8UrUfzNB+s+fn4naLfme/W2K73t4STFm3b2DW++QvNzhvQvS6aX0WeUHFO +lFQsP/C2x/fjAqeG72mw7/pC+HnWvC/aq7XHa9prXd66ig3vEHyt4CsL9lXQ +QrcHFs0L+PC3qu9NzPx+3nr/GH5eOJPL4WP0fk7E8UmZfeJfNX5JNNrKzpO+ +HHkEOL219s2y86GJwtsq/I80vqv9D4l+q+gN0nMw5i9XHZO7VuzP8eUriaEa +z9bzkuZrqsZfrfEa7btS9NtSjyti3qGzbmyyPfaV3qSCD64bhr+bFj5nY8zJ +i8mVyY1Pj1yYmDVKew7SsyLxOTkjd7skzgMcez43Z76s1Pz1BufbXSNPIF/o +EmcnHt2Z+e5rq/aPxDliHPr5QuQGc2ueD6vYfrBD4spTEfuwzdUV59QfZ5YT +8tqdOF7hW/FBM0VnieazNM6v2Y7XaByrvWcL/86qY+eLQf8K8jjx6qXU8eXl +iO/rmxzL4BU50JEaZUzVedRRNdsOtkcMuVlyv0B0nslbL/6pZN34Zi3yLq27 +vWb6oyuWw4aQ12qtv7jR8n+74pz3TN3xrJztprue2Vp7r3C+Kzq9c7ZveDxb +uN0FX675r7Xv1JJ9E2fCxrCd8yrOD75Tcz41MXKqPoJ/TfDWqvPNKY3OOaeI +xrORiy2MWH+fxq/UvXZfxT6eWoX4Qpwg/p2Xc96APB7VOEzvneF7kQl1B/t9 +VHYu0kX01pRtM9gL+S/wWdh43e9/1V7rpES/1DMwZ1n8rMnyIBe+KvLhr+dM +n9jUmjOcu0xM7c/gxQmpde+JBscEYgdnZC1352zdGu33D9cyFcepS5F1xT58 +cs31aHvUkceKV6eVvU/f1PEE3hMbO0K+xFpsi3z18ZrtcZLoXZ7afrCd9qgD +0bGfNjk35xtyWBayuCdqIXK+bxG/BP9D6vwbvrB2ZtRzxBrkyp36ks+IxxcJ +/0zhjsmcw8/R9ymCjyo5Tu3WfECZJMp7cwZsm1xpfdgC+Sn1Ajp5GXVP2fk1 +42+PzIX/7cgxkvDtzZnznHVhp9TI9ACo8feGn8RfUnM8WvZ9Jui9XfBt4XdZ +g/3vbnYcxo5nRZ6NL7q36rwrH/kbOTr5+T70KPQw32T5YBen5Y2HjH8V8sOe +iTnEC/S+W+gCcYJ8hr0m5ByHDjZ4f75vD5wF4c/x6+j03Mgf8AHUYNh278x1 +bK/MtewjUc+eGjkqueqszOeYkRnG+fGtyOrBsuW1Vvecr3VnZa4viKvkpp1V +37Ojapt84khNkTl2Tsucl3Ef7kIdQD2AfzwYee2BqmWI3iJHeEH8hL/UE+CQ +935eMY8S4Y+vOb+foLFHzTxuqpgu9RN8GaHzP1A2v+Hl/pAd8YQ5sY+77ov7 +koOPDTkiJ97R8T3xDfjFgu9tsC2Tm/WJXHdezXHkFo0fas/LBH8oc26FHWFP +xA38FfcarG99NV9acQ2BTKgjzsmcH5ybuYeyLGo99iMOEYOOT+0Dl0TvAllT +V+Ir6HPRt8F348MXVOzv2R+f3yd13g9t4i11L7nEOalrAb611O33zq+b1/D8 +s6pzN+IQ8iYGrA6aj9RsZ+Tm2NzasF/0dk3oMPkpvg5duoH+Qt7f8A1/bnIN +h/yQ48zMfmV/+Bb6Vnyn3rot8zluyex3Hwzfe3PV89aKc8lFZeeT36g51o6p +Wb+ol/GNLcI5t+R4XwzawKvC6yX8Ss115MioKzc3O3fGj1CLL4t6HJ/1WvjV +USETZAQMvSDn6RIxlBwF+SwMGaGD2AZ6eA99mrJr9EMNlik6jC4fivnQkvHA +IYbcG3EEPSLWNobPOBg8p4+3Ie5HTtQ3+hz1mn0D8Z94zn2RJTIthZ1Sfx8X +9TjyRu74MuySnhc6fHf0GIdFn5I4jf9NM8dqasSO8A89a47lxPQh+r5E/n93 +arsn12uJfG9GzbqHDhJv+oaNXVNznPi4YrunpsH/9K47hk2ruc80vehYgm4Q +m4nXW8J3kocQc/YUHXeO0rwBPUjNF75jC23k8kX3vVZpfFvPX4jrmWMCuWHP +gusC/OCvwS+5pq2k5im5En7jgqg9b4ycgvc3C37vF3ntgMj50dN50dei/zep +5DrtT6K/hlqo4Jx9avgu8khqRerBgXFH6C0N2uzfLbOtdc2c71wbeB2i97ro +Pi/cLRH7iIHTwm9P1/hLfV9adE0/T3d+j1664M8WXb+R62DD0Oe+o6vOk75a +NXx26CGyHX0kzycG5Cwb+g4j45zD431G+GTi0NDoOY2PWuWG6C+Cd2zUT8PC +Rw6PtfAXPuM/8NOdgbM+eEdvYW/F+dR06cxt4bfx361Rr6IzQ2Jf8NGDsal7 +oA9X3FN4ouYz3Jb3OTYWLBfWURtSQwyOunhO5PmF6FfQt1gnHu4qWRfGVOwT +yJUGBW/waffp+4Si7/COxu16XyH8AnmT5mekrpdaQ28PCLZFeJsK9gHXBv/h +/ajgP7GO+Eu8I1Yyx8cckQ37HqjYn9Cfvqlqn9U/c3wiThFryCmYE5epX5Oi +7/lpo+tH6jnyhbmBg65tKlnfzs7Mt76Rk4CDP6K/NT/wL604p/2/mvOKw7V+ +4t7z+JL7GttE81DJvecRmi8o+Z6PFxzjsZGc8D/Wt4bUfuqZqCM2CPax8NcI +t1PzjqJ1pDH1emRJn5G67daa83Z4dFLUp7yT/+O7Lon5XvYpm8Z+0d6s9w2i +dbvmI4vWe+T3RpyPGola6fyK/fnXg//oD/ZIPXlR5npmZpzhkjhH96jXyLW4 +07K41ztV+3rq4DObHPvx7Tub3S9CL5mvC/ozY46urow8GZ9PvOOd+NWW9xw4 +PqAt5sCYE/vKeccj7rEmauF3M/e64AH7Hoz8Gf8zpeI4uljn3STe7Cu59nop +eAo/4dOA8JHIaUm80xcE7+jIx4aFblyUs67Aky5Re/H+36J9cdG4w4vxnjOP +uTs9HOqtetQ0/Ce4NfJ//lvbFrUDtcCWmJNP4ZvIf6hnuT93p1++IHrmy+P7 +yqAJDH0apphVlJ6cXTft94KfxJjTc/6v7AH+hyk5v6CPjD/sJl7VapZrVnOd +2jN8HSNryZn4X43/1wZklue2oH9B4B7uhYr2f4W90NNZFrbBvbfEOW/V91tK +7g/9UOPnqX3TJ5pvFB/Xav+hGr9fMu/3Z85ND2hM6v6/J6fxs8z18OfUVplj +5PvUGlq3FdsruD+NDyfXhd5tQXNI0efgDNRJ1NbkINfH/3vkmSMihuD/d2Tu +3+3M3P9eGzVgTjTqZee518X/iuQwHwm+nngm2I7oF+PjHw5ZowPNRfti/DB1 +P/YIf+n3tYUto5uvxv9wD1Vc731Qc4x8Mnrd+BR8y8qw8Z1hjwNiPT4cG90Z +PeFVBesEsoX260Gf/bAN7IL9V8QZDtOOOf8LLo4e8tsFxxlygu6Nf8/1yBPe +CvjIeN8TZyAm0rei17kqzoAukWug/7W66/tq3XGoX/QT+N4/cKhT+0Z/iH3e +jr1aUsuBWoP/P7C/fxSdd2vus28J3X4t9iWe847u0mdfHvU+tcGCyK/aJe/9 +9GUz53MtQZ9+CrXc9prt9fmI60vCN+A3vhe+Dj9GvtkZ/+OTY/I/2uE6t9k+ +ETh9lytT6yL60BH/U/AfAv9BQ5+4SqwltrLn7IAviLqV+hXfCz73/5LuP0fz +U+rmBbATqL8ifyEXuiv+B+f/cP4nHhT9fOqTQtQvD0T/d1XVvn9O9HLQA/wX +cqH3yf+7PcIv7Y7+BnGbta1RlywP3wVvNkftw103xX0ZeccW6NV0D9+L/HfF +Xvhp/HUhRtYQ8zbFOuafRo1DXoFerw4/j76/EjpPDYBs4P/s0F9yG2oUYhL+ +jfywI3JEaq8+gQ+P4BXnp6eGzuzU2F5wzEG/3ik4xrAv+78Tc2rTk6M+3VFw +rgF9/NWm8Fnk8muDDvUMPW5qTWSLjJE7ekL8pl47NvqN9B3ppfSMfgq+gFhJ +LN4dPWR6yeSW5C/4D/SxR+jkKalzDeDUItDhv4zT6u73HV83rEfAJ1bcW3tM +d99ccL7DXu8XjL8tYtCk1LEEHZ8Yes792uOOrNsY+TQ9zhNTyx+/e0P8d8I9 +Ngd9eg7nhj021o3fULesdgQ/4dkZ4UPIKTjTttAZdAT9ORQ1Lvq5MjPO/Ir7 +K7sKtjP4dErwBPmwNzJ6MzNOm8b/B1Cu7eo= + "]], + PolygonBox[CompressedData[" +1:eJwtmHeUVPUVx9/Mlpn3ZnfekIYIK3g8AaIgSBcxggRBEEHOSei9RCQ0lSQG +jTnCKkY5dBYpSYwGBZWgOSgiSNFoYiLCgrI06aD0snSQfL758sc9c++79ddu +mZsHje42KhkEwW2JIMjnd2YmCI6ng+Ao+CJ+54VB8B7f1oK3SQVBYRwEg+B1 +KgiCFPiMKAimA59jZD0woCgI3s8LguXA3OIgWIl+Q/QfRv9P6O+DvoL8PvCv +gTfgXYiMr0DmV9kg+BuBbMTWCPBN8OvAnwCvFDiI/lXoo8jvAdbh7wm+ZxUz +8dwNPYy1fAyMky1gO/Z2An3h7QS6EttNyH+HfA3s1QSOsabDwBjkFyHbDf1m +yL4KvQV6BLxXwOezphXo9+TbHdC70D1PPDuIZRvwJXR9Yu6H/f+mvPaq8Pum +vQe7wBch8yi8D4Ez4HnI1IaXBHbgswv2n2d/7yS+Z4EhhUFQgL+9+L6GfAr5 +O5BtCJyH/w2yf2G/zoEXEVMjZGtiowW2lgEBco2ATI61YOMSvCvAdvCLwC3I +/weYhm4F9k8T4xZi+wKo1NnwrQJ8KzAUejX+W4N/knbslVpD2mv4Cnv7C+2j +AvxmfD7G99XsZy/iWwL8Ht3d+FuMvxLFA68HYdYAT2N/Tca27wP+jvzTKd+p +efDfxdcH8D+CV8b3N7GRY+1TsTGYtW6BfwobX8H7HGiQ9d4Nx/7t4G8Ae/Jt +U7YXYCsLNMfeO8Dj8D9K+A61wl4lvB/gexC8H0IfwH4voBn0bmycBI8y3l/t +8wVkipBvjo/22K+CvTHQZcSYA8/oPiV9RsVZ3+VD2Nib8p1uhM4EzrMU2Fbk +u7Ub/vaU79h5xYB+X2zWzzmWKvhvmXZME9F/iP0fC/8E+5VE/3vw70pbZg38 ++dhZjv1u4H+Ef0B7zXq7AH349jj2i/l2BLwCf1XTvmP9YstORuehhHUOx5b9 +Pv5O46cFPisD+1gLbxhQSoxp7THxBugOgL4n7Tv8IPiLfGuXsM2zfDsb+S39 +DlikN5bvM+tPLBuRr4utHsj9W+8n9t0/SHyV4Mdi5wKtQWtpGnsvb+TbdvQv +6c2n/cb01u6NnSv05tuCv4rt6cBr0L2QGUksFRnnns3ASOIpT5o/KutctpeY +dqac09qBv8C3rti8K+EcqFyonDEQfwPw8Sb6Jdi6Ct4fWJR0TJfBr8Tm3YB8 +EvmL0NXTlpHsIWAH6+mJ7YPae/a0Mfx2yK9Bfg/+9wO7Uo5pG/4v5/lNLkB+ +MzKdoBsTf5b49/OtQWCbB2LnNOW2HkBD8GeBdfmWKQVvg0xZnvegEluN8XUi +9N3XnSpj7fnQs+FfTjqWRMa5TTFVI95ZfB8PXQc8AdQEf4tvA7F9LXZu1h5p +r3agfxKbX6K7GSjXG8JPW+U48Lrw7sH+kaRrxLfKgfyOha4e26Zs11KuwtcZ +fi9Gfru/TflO6G4oB15ir7ZCV0v7zp9F9/Wsa4dylnLXIHRX4K9Zyjlog/Jv +yjrS/Q4bJexPLc7nqt4C3y9FrlVP6ExC51TlUuXYUehX42yWKUcgfzr2XW7F +lp4CP6W6gb8Z/P4a+SPEMyXhnHc06zPSWdVD52X8N8L2L5Hflm+d0bFzn3yM +UX3M+e7qjt8HXkY874B/iGxz7LeMXJNVi+cB/aD/AT0RndXQx7LOtVXwfxy8 +NvpHkdmI7mLgAN9uIZYA/m1Z1yDVIp3JN/jvEDt3KUdehHdaNR/7s/j9DfpN +sDUC+ut8f9um2sy38pR99IaeCX0/MezFxyzwwtB4JdARm2vQfRJ4EP994L+N +vb2FXmM7+H/G93CgC/vdVrkJuB17TYEByL+rHqjQPc+RyDVRtXAD0Ab8D3w7 +FVhnE/Rh6PXwPgOSOd819RjqNTrqLcA/l3TMP4H+NnJtehu4V7kQuBVeE+DH +4Ici21qUcg5QLlAOuBDbVgEyZ5O22Sn0HmjtnRJ+C50j1zK9ierEM1TvQvun +uwreN/JZ/ow1jtNeRu71jgTu5Y7prAL3dFpbeehcqzXm6X3k+c0G2O4Obw4y +qTy/+Ztyzk2j4dcEH88ez85zzniy2HezMfIz076jOuum0LPTPnPZygvdi8mm +ehL1JrLRHd8j4S2I3Gv25Nt6nS/fphDbHODGnGu1coxyTVd0/oV+KfALbL0M +PBK4p/sr+Fb0P0B/nvqBlHN359C1UDl8FXRJ6L2przOBfgp6PPqtC30X7odu +m/Cd2A39CfQSZFcD/Yrc66iGqZZNATog9yL0VPCnke+AfBv0P+X7YPV26qnV +SyGzMOveUz3sa+CHs37rygGDsF0H3T2RfcnnmSL3zjrzeqy/eZF72Tns1Vit +X/1kyj2Oep3eWcfyc3xUR7akyL2Yegj1Et2z3jvFXA3ec1nnJtWESeDPxc51 +6lEngZ/E7xDWMI3fcep/I69Ja9G3x8AHAlPB5wOrlLv5fQD9f/K7tMi9k2rW +Vu5Ly9i98OusqRn41CKvRTVAtaAl9Ni0e8xaOfc0qkOqR+p9lbuGRLatHLZE +/qHXQb8A3RP58gLn8InKDRnX/M3Xa2qf0DVNtUxvbnnoHl69+0sp5xjlmqeA +LuDTi72Xj6I7A7yGeqACzyiaVRLqp/KcI/dnXcNUy5STnil2zVLtkk4J+EL1 +bpFz8TLgJvzngI4FntFKi/y2tQatRTlZufmC+kX126HviO7GZKA6eHz9veiN +V2D7rdA8yTSI7FO+dEby9YxmwAL7XJvxTKhZ8FP4JTm/dZ2BzmJlxjVFteRj +9UvE8KNCz4w14dcAugfuiftknYOVix8BuoIHoXOUcpPe2LW035zemnpE1d7B +kW2rBr+n/Mq3xWm//3ORc6xyq3rmuupPIvcOSwUZzxiaLVap54osI5568BNp +z1iarTSj1c65V1HPpN5Jvch2+JtS7knirHsp9fTq7VVreke2rZqzInSOUW6Z +m3Jt6a8ZJ+0aM0mxINMq4RyyIeOeSne4XGee8ZvRW5GOZFPA3QnrtAefgI0T +gb9pNhsW+Ww0oy3POIcpd+nOaxZIQN+Z9kywT3sduldtATSOPatoBmkCPq3Y +s4TObCp4LuOeRr2MbMyNfdd1xvM0exT7LIfBfwW6a9Zv42HohbFr+dbQtVQ1 +fWTGPZl6MdWAG3KeJTTjVAUPY//XoJkiHTtX9MTGyus546foj4i8V7qjmuU/ +i3yfNdOrJ9Y77ge0V73X+w/9TX3z8Ix7EPUeqknHI88gmj10xr0i5wzlCvls +oZigz2FjH/G0Dp3DlbtVw/8/e4ae/TWDvlTs3k41Z06xz+qB0LVaZ6YeSb2S +ZuBbs36bX0S+y3qjepsbIucarakevt8PfZf0n4Jm1/LI/61ohj0TuYdQ71Bx +fc+196qBk9XPRz5znbVqTjLjHk69m2b4paFn7LLr/ssyrrGKR2+sOfYmFTiH +KZcNzbhHVW+qmqUZX7P+ce2fcmtsXDO0ZmndCd0N9WgTiKcz30aFnrU0E26M +XENUO1STlfOV++WzRewz1Fmqx76G//8BZ0OfGA== + "]], + + PolygonBox[{{4067, 2550, 2392, 2099, 4110}, {4164, 2412, + 857, 1189, 4148}, {4108, 2098, 2826, 2437, 3942}}]}]}, { + EdgeForm[], + GrayLevel[0.5827224196026211], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxNmHuMVdUVxs99zL0zcO45o0YbHxWhvhhHbdNEUNt/ahTQKjgzgESpisGa +KC8F8YEWURgYBjQ+agFtRYVSlAG0HVTAAE1rH9FW8NVitYIVo0CNFCdqB/r9 +/BaxyZzZ++699tprr8e31t79x01qmVhMkuRo/Sup3ZslyZl1SbJH7chKkjxQ +TpI7NP5dTU7R+CzRnZS7f6Lao/T7Hn3TRXOh6O8S/RD1j9fYHH0d6j+ksQeD +z4RakswVr4lqd5Y9x/jLaZLMFv0pGj9FfG8W/wEaWyg5/iiaUepPU/u0Pv0l +f04ty7dEOz8x/87Ee7J2SSFJVjYkSU99ktxeTZLz1T6jdoPmnpGcG9UWRHN2 +yWuQ9xPx+GbRa5/X/Av6PhfP9dH/Uv1hoj+u5DN/kZgOGvR0ep3PskNnqOj3 +HMm2O/P4x2qfLXrfXtF8qvlFiWVn7MWQ53LxfkN0r+nbpq+f5g8Pmg2xdqnO +nmvu25nlQr61+j1Fv58S30GaP6lsGa7V+PU6993qX6C1j6p/nvZo0/godKlv +pPqXFj22TzQF6SfR11r0euZ7NHSj5DtH7en6ZmqvKfo9THsdLHg9a6fXWf/o +FB4H1W9RvyU3v01qp2ntGu37fa09THYZVLLt14h+lsbPTixLS/BEJ5wLvVzS +N0kmya7tJdtueuw1ucFzjK8Qn5K+6zXe3EeyaXy+9rmtYN/kDL/X3rdgd8lz +mnQyPs44QrSnaU2H6EdX7J93anyZxlv0ddZbl7NCn1O0b6vG3y3Z1+8v26aX +NEpvGj9H7XFqG8RziNZOFX2bfn8g+m6N/Vy/v6jYR84I//lF1TbF3z7Tmk7R +L1M7NLXO0f2T6h8nmdepvyz6+9TvLTguWhP7wPiK/WCnzlkRj8GS503RrNfY +BLV/0P7bJcez2vMnmcfvVHup5FtTtG9fJ/5b9Ptx+fW/xO9c0T5UsG7ACvTz +M82tE80itQ/r6ybGtefc1LoZoH3Xae3Egv3nuczx9rzaG0Tzkfq/Vr+pantg +i/8m/n2z2k1V668YGIMNsWVz0EOLbE2xdmhmvBimdm3F8U/8PKvfH2p8rdqJ +2nev+v/JbDvifl7i2OaMYNo1mlus8f1qL8kcAxdq3TfwMa29qeQ10MxV263x +5sRxe3tivswPj7XwGCi9tGuPv4hPr3R1svgcqNmn7gq/airZP/+qNd/JHO+P +iOazzBi1XGuvzR2rqXQ7r2ycZO3bonlJ/eGpcQXsAHvmBy53BJ7jJ/hLe+Df +otAB/JEZ+5+kteWiZXspYnO2aK4mRvHzOuMIGHGB/GiBfHU5sRbnRifE9eqw +28f62jV2K+srxu35ETfINYM1uf22XW1R/B/U97r4d1W8P/rdBb6qvUXfAJ3l +yKJ9cpX2v0xyrJcM5+Ve+wO1g7V2kL6pZeMNNiZ3HQEGiccnfd0yD95CPy1y +zY6y8R3ZusrGriPUv6jinDcXuprlqFM7Lrfu/pk6ftDfdZEfWYON0A+6uDXm +X0Mv+JnWbNfvK8Vnib5M/dXit7BgH0CGO+Sbb4s+1e8HUsfzXZl9EZ8Ej/fm +xtZ/q31cc29pfKnaRzPv9Uhm29IvRy6BP762O+yE7fCri+KMM8W3p2C7Q7Mn +bIkNsSXYta/s3LZY/Z6IcWL9jMx+cmZmP7gw9DBZZ1ldMl98iHzUp+j9oBkS +vgF//GSO6PcH/3e0rrNkzP+xbP5b2fCVeuesSvgkuLZQX3/x79RXK1r3CwrW +LTG6MvN4l3R1hWj7Fu1X8wvWMTbqFzE/IbeM4Bty/jKzLZZHLl4bmPlBxfNg +yNB6Yy856YWicRkZZ1RtF/ZjH/ggI78ZZ/9rcvN8LzUGgn9gHTUN/Irx0SeH +tUbeJXdyJs7JeWeHvxMz5KsbG4zL/ST3VtFsVfuG9rhYY4cHdhILxMTbuXGe +2pB8CS79LnUtgl7BZ/LP3vCZVRFDWpLs0fyfwndOzi0HtV5L1fKgn/sy09yr +9qyS/Z94xj74PTbiPNQS+xPHOfPsy9mbA//Zf3fI0Bk1Fj6DPtElNkXP6Bib +EivULcQL5x0c+EAe5Tzk2HdS58JKY2BHxeeihR58WCffu6fB8pGLmkIectqH +ESPjo5bqCfw8GBg6qNEYDpZvE5+N4vOY1o/R11q1D+0KPthum9oB2ueA1p9a +cw30Sf6Vyb/Se12c64d1Phu4dX9gVzX3eCV37gH3m8Tjxsx19bmp4wZMJ3Zm +RqwPiRp0VeAe9ctNDa5hjklda/T29XzX/2HjvMhHtMQzdKuDBnn5zTh7cL5d +oSvOR37ijGDigdDV8ZHDyFNgwL7AgVlV67o9chI5Dd71OufF4tWQu0Ykt3WE +X+AfrKWGGR15aFTFfeoZcuDiqAfAnpGBb2DkjtDnpyHDosDy3SEDOocevR/i +y35Xpo7HX2Wua8kJnIu6j7sQ/KkFwAdwYmvE5n2pa1rG8KO/y09eavB9Jms0 +tlDf3Rp58aucqPkZfXxHmZT6LNQyxDe1ALE7NnUsLIt6nFyL7fCFQp19e7L4 +HqO9J+XmQVwQXy+A06J5tWA8hKY7bNYb9iIWmqO2po4BNw4L7BoaeFhLrb8N +mW3F/YTanxw9LPL0wdS1/BD56ivht9RQ5B9sj87JfcQUsbW4Zty4Cn2XnWN6 +AkcYnxF4ApZgB9btC1twN2qNu8ccrb2hagzDv/GpY2rGdmpNYpn8Q71OrU6e +eSxiH8wGN8gFpzZa7+AreLkwatoDqe+S/VPrhxijbqxr9FqwZ2zVOQm8RBfQ +g3/kbGIDH+qJc+P71B3lyEHUg9z9iEF0jZ+gR/AVeXoDTw7FGbXi0qrvoYdy +JDpjz6tiX3yX8R9Jtp0F30eoyX4av7dnrrM5J/zHBaafGPXRWVGrvVVwPcxd +oF/uevfwmrFhVeDD7PAD8sTmqnN5/6hXwT3wgHz/cr3vRyfXjJENqf0Snuh1 +auAi+v1NGvbNv75jHxG2w27YpTny7PioCcijKzLXYeSkpzLH4rURj+zHvs9E +XO+P2P5b2bUaOYe70YyoLYjTztDxoTqDMd4luKtsCHwHA4ml5yrGAe5OmyIW +avKREfG2gazEBuPMUytzZ+Z81CTPx12yO3PMTEg9x336hMQ2pIZsDhxDLmIc +LBwV2EgckKOJhaOiPuLM8Eb38G/LfDceGXed9+O9AAyFJ750deoYJEapcfHF +qzPb4bWQB7k4L33siA2JCzC1LXCV/AjedGju6NSxOjrzHX9P3POxK3yx+5GB +edh3WfjMl4GX6B4MmZXZh/Fl7jo7w7d5O9ii/TaVLMe2kPPYwJfL4/7I+cCW +BZnPvjz3vZl1xBRY/Hn4xhmNxuH3U8fmivC3cyPOiTX25B6DT3CnOj/6fPgK +PF8PvXFWYndL7IV/rog3kFk165Nab2XZvsG6f+TO4fNSvwW8GnomJrviHsu9 +jf454c9p1FJLxXMzdXfqvPF6yMD7CG8nzHXFvQ8d8ub3TtTqTygvndDgODky +8AjbECPER0fcBfpEvYT98AFyx9aIB/RPuy76xMZbgScb442POGL+uXh3QJ9r +Q2/dsRZ61vObs3M3WR3npV0T8pPrwBN0xF14Tdxn78687xO59dUdPNty42lT +Y7w5BnbhE/jGiMz7d4f8GzPXEusz2wJZ4Dc26kB0Qj7v32A/Qjet8UbRGvmB +PrFJn/hcnBnfl6h9IrP9nsxsA/IW/j+p5v4c2XFG5rx+R2Z5N4fM+O+WyAvk +vYei5ufMnP3S2tf353r1R9Ss7+Fq+zYab8HdO+N96c3M8dceMlyWuUYckzl/ +bgosHhXxPEJr3+COU3Web6s6TpBlSe7xxWoHRkztTF1LUEdQAx9b81sHb8as +JX9PDx1+EHmchPNFvFeyHj7EaG/kVWoDYqUzfPuBmu+t96s9K3VcTc5cz4I9 +rJmaud5dmvvtakS8X7GO85Czm+IcN0ceZ45x9iCO0H171FPgxrjU9edH4l3f +6HfCVvH/Xuq92HN46P/81Bg5Ju4Rm3PXN4NrzucDIqdPCezHz5HrppABvxob +voUuWUtd9G7qOmNc3JfHhn+2xr2lIzB4ZuAw/n5b5IKWqGfwT3LOhNh7V7xH +lBuNAVcEn2mpa/0XM2NtT/CdE7kIvjtS11vclfGLtogFbNsW+u2KuESG94K+ +qr0G1lx/Uoc21Fyj8jZMHLwa8m2PvPCwxq9JXas/rbH/AUjSPn8= + "]], + PolygonBox[CompressedData[" +1:eJwtlmlslVUQhk/be9ve3u9+F/CHkSVIpSxVIdEIGOWPBFkiUhYRJMqiBhLo +BhGNgAsoZWmRiIpQUAoUDKAUUBpACJQY1EQSRQGFiAJRo4AYLSQYwefl5cfk +m/nmnTlzzpnldJlcObIiN4TQBCWgK4UhdEqHMJjv7IIQxhaFsBV5e34Ie/nX +HIfQEYNVOSFURiFUZEPYlRdCe/RV8P3ahJAPrjUVwlD43eAv4bge/DPwdfjq +AA0EsxEqAneZbyO0OxlCMT5n8X0e6oG/Ynycxv8McMPgp6A/iHwAWpthLf6N +gN9OTGfQDeTfeOTNrNkHeQV0lrUPI59i/dvxM4s9TWWvrdAO/i3g+xv6nfDl +rHkre5mJj+nw94HvSLyDiO8A53EOfztZaxj6Hm0co2K9XzJr/4OPiwmfUSPY +n6CmXMeYBP8OmMU5PrMV8I+Bnw9+Gr434Wsd/1rQNSAfQr6G3A39Hl0S/Fzw +e5DL8TEbviv/+oAvhhIZ353OXnegO+wD/2Had9eCzyXEk0u8Tfh4Dvu90N/w +rZLRvYmPbfiqAnsNuw3ov0e3hPXWwj8AZquw0GDkM5zl56yxE/xBaBUx5/E9 +xhmOy5jEy+fyjM9UZytMPfxxxYCv4/hfHjlHlCvKge7C4ruROGqJ/xfsFoPJ +STqGGbFz6Qdi2FHgnMpwxtNyvf8Yfij4Gfg7Ac0H/7tixjYLpgFdPfJR5Br0 +K+E7E+O9Ok/WOItcQwzPEn8JmHvAt0Nfir4I/dfo89E/Ap+n4kFfmXUtJJAT +yJ+AOZ9wTlQgJzO+q4nQVeQ7wM8jlmp8lMA3o/8R3UKoHL4czIWEfcjXosjn +oBpoQN81a1vFrNgngnkb7Fno6cg1olpRTk1FHgJV57gm5oH9FFoZnAP7VAv4 +y094zwvhB6rGwX4jPL4izjQH3ShiTsNPwGZ5wmc6GeyyyNhj6OeCT4ApSboG +TqOril2b3yFXwn8AZeBrsXkSff/IufkRNBNdb2gM/KP4+Fl7yXrtAToD+JPc +/TZyZGmBc/AP8HcnHZNiK8SmLft7AZsU/Dr890oacx79Z5F1utPO6jfk0+aU +e18ZOfS4zgRfLxLfGPj2+BgVfGcd5Btsdco9SnfWnX+v57qndBMWn3tZ6338 +tcAvYL3aPN+x7noM8hf4XwSNxf9TyHU5PpPNyClshmE/AjkJPxH9UvQxcj32 +wyP3tnnQKPClnPf+pHtUT/h+GZ/VGtYvjZyjylX1uM7wH6smZI++Cf+VKe9J +e6mBRmRcO8qBMvh2sXvfSfy3Yr8R6pTrHn8FXRl0Lsc1N1z1gX5ugXvIeuQ7 +ua/haefkYs53JHxZ2rxqfH/sXrQAmx3EM4g9bChyzvWF75LyzNCsuBpco6pV +1fCq2NgU+pBvG/G7+Hc13//UQ9VL1SOuR65B1WJH6Br8SdZ8CVhvfJ6CL2jj +2aI7LIS/EFunGlOtvRq7d6mmBmM/LvZdKkfaI5eyXk2ua6wn/HvE00w815OO +SbP14SLPQs1Y3YHuQjW/C1/9sRlCbH2hEvhLWc8a+TwSeZYVp3wWmmmaCZoN +6qkvwzeA35bw1v9KOweVi8rBSvzV8m8KPo7cnMGqMdWaesAZ+CRrzAHfDP7d +jGeSZpNybHTWNapa1RoPgu0S+SwVs2JXzip31SMLsu4J6g1bwFdj+xqxry/y +LL5+s6eqt2rGzYGfFDvXNOMmw2+JnfuqkQmstTLj2DRTNVtVA6oFzdTRysfI +taucrIvdK46y3toC94wW9l+Vcq5/xf5XZzwbVGOTsD2UNkY6nZHuQHfRFv5i +1jNSs7KO9Tqov8aejeo5t0SeGZodmuH/Yftn1rbqEd3g+0Y+C71Z9HZ5iH9v +JT2jNasrMq7FG/1Fszd2b1cPUy/bl/IbRW8T7Uk9Vb1VPgZkPYM0i9RDe6F7 +A/oSfjrYf4l9fOzYX2G/T6j2Yr/tVNOX4TdCpxKuYdWyMMLKxzL4xti9W5hN +sWeoZum3yGtiv2n0tlGPWxq7B6kXqacVZt0L7uI+lhS6JxxO+U2ht4RmegM2 +JxLOQeXiiLTfNDfeMtikityz1av1RtMbRW8V2ayD3x77baceNx371bFj00z6 +NfYZ6CzU429D/z/NiHIH + "]], + PolygonBox[{{4154, 2901, 2420, 998, 4061}}]}]}, { + EdgeForm[], + GrayLevel[0.6735386091717398], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJw9mXm0ntMVxr/cfO/7fffed7jiDxmQSnJDgqISglaCxNyGoAvVqpk0pDJw +M8htEhRBE4QbJBIkQdaipog2iSE1pI0MrWHpahdKWW2RGhJT0Od3n53+8X7n +vOfdZ599zn72cPa329ljR13SUKlU7tRPV7Vbk0qlb71Smaj+LV0qlcc0PrPi +sUcaPL5FNJ/qeVDvU7NK5X7RnV9UKu2imVb3nLG56Z8tK5VCjHM9X+t9f83b +Wq1U5lbcfqbnnlgXvg+J5lHxGKLnQ/U3pJXKej0f6dvJpXmvUbtN877Us1hz +l2vscT3L1X9Ocnyl8cmZv9O/V+O3BT39/Rs8n7n3VTx3qdpZWuO6xPxWNLiF +JzJujblv6vsbem7Xt8FqN2v8Vo1vbrC8fXUWkzV+sPbbW+/v6nlPD2e8h34+ +Ff3dotlR+ztENP01tnfuMygl84Wae5ho1otmWNV9bff/7y3q76o9Hq7+LmpX +Fea5Uu0lmj9PdI+rP0H9Reqfp/6I0vTMu1rrXlm3vJzxvbVK5QP1x4i+Q/QP +i6an3v9V9Xtj1d9na93BqfcyGxxk3sfvC5/Jk7HHnl3j7CqmezdwdXbV+r9Z +/UcL839E7Wq1q/TsqfEN4jegq/e6f+az/FZnM1b8N4nmTNF0sAeNn67vO+Sm +b1Fb1XOlvvfLjbdvGvxO+230d9K34Wq3NZvfn/VcoPelqWk6GoyzTTE+Xu+t +4vVsF+sT/aHTIepPr/mcVmnu6tQYeEzjEzR+vvrnp8YDZ7dGY7/Sk4rPX6WL +u7TGcWqfwEY0dnVmfK1MjbHG3OvWc58ZtnOVxm/X3n+u9m21m5uNi+H66SW6 +fUXTU217g/tbxXeLnn3U/7SLz/gpPUM0Z0bh/jFatyWxDjj/ttAFNK+KZqX6 +R4lmUtX9gRqfqvFd1W5Su0JjT8bciYnPZSetP0ftPVVjokduGbrn3ge62a6X +InwC5877TRq/tGqcs7eLEq+xi/pHSI4x2keb1t1DvDqwJxG15j6bH6jtnft8 ++mn80NRzkW1QYh3hewYFrq4rbVuHx1rjql6b/rDog9/xVX9j/CBwprl7Zl6P +dXfLfBacSTeN3S7aZVpnntqFuX3oBaJp62qMzdMzWvTH6v3Q3HsC9+zxgNRr +zRHNYfo2SjTD1H6Z+ewS9Yem3hu6Ojxa9DVa7UV6Hlf/wugPEp9T1E4ElxXb +JTzxa51jMY5/pQ9uf5VYNmSYXLXuD9T4ZMn8quSckxkL9MHDItEvTOy/nlL7 +dOIzGpn4nf6CxJjHbm8Un/fVLi0tJ/4WmXsnxgmYvQP/mhi3vNOOCnvEFvGB +bYnPGRyMTowVvo0T/2fQb2a5kA8fi33xPjf8zPo488bEPoSxwwJ7fMOOkZkz +uVzn88eQfzq+AvzquUn9VRrrE3uEBh9FnLkt4ktH9PEPYODWqvH/gHS5Tu+X +Ss6N4vMnzlzjL3V1H1ugXRfj51b9jXF0wPm/or1O1jnuDg7UjmfPxGLxPi2z +vPhLzglcclbQ9tfzonhNzI2JCeFn8NHwP6fq9ehv07d+xFG1F4e/wm+B5baw +ZeadE/Sszzt+HtnPqlr+gwr3h6g9oHA8ac4cL+DfKUdX+1DO/PSQ/3VwktmO +sKd27WVoV2P7iNQ2MA1/XTNewepx6h+rJ6lZB9jiErWnpaEPZC6si7MKx/CO +0BHnNC9osLVJ4ff2z43TbpmxyZojKpahPdat6dsM9iWZZ+m5QN+uVTs3977O +yLxn9j6pdGzDF+GToCVmNIbtXhi2fLLkmySak9R2zxy/vmx2zgINecvgqnWB +b8GeZoVN/ZbYoLHHCmNwZcSptYr7Z4r+yK7G7ILA9oLUMZH4905uWd4GI/r2 +m+24bzBW0DW43ZTaf3+W+B1dE+dmq98Q+QP7Ig6C541Bf2XY9JmR22DTu0QM +wr/htzn7oeHjtvs7zpnvjKOXtxLHG2IN348ImqO15/PE9xCd2YnCwQl6euhZ +WLfdzknth9q7WI/Tgj++9OPEeSe5AL6RPrnuWvxA6hi3DptNjSuwSB9dgDvw +d5lk6lvzHOjHJ+532oXal1LnEq01v9PHp60LnhMSr8U88IV86D4JbOO30XUn +TjT316K9mrU09nlivaATbGp9yP9s+DzO+pbCOjg1s/7ROXaHbV3f4D21h444 +H/IJdDUq9NIWmJ8d+R080fG9kefsldn3EzMZ78RExfIhJzy7J5abMXTyQc3+ +lO+Mg/ttXSwna68IbKD3NXEXuDv3HYO7xkml4zZ5KnKRc4FD1ga7N6T224tT +65i7xl25dfXT3POIwcQ+sML5geH3Qybkmal2Rup7EC3v+ETWnxnj2MqNYS/E +c3gi1/qq4xn7ua7qXK09YsqMoEfXR4RPu6zqmAeOySWxI/zFTuF/wCqxju/o +4PrC809Ue2pqf4cfw/Z5XxwyTw85sX1i27bwL+xvZOZ1Loi1iDNjIta/EjnA +TZn1vCZ0PS/4sxb3wulxziPrtjN0QN4Gn+GaOz913rgi/G6nnJF7tkXONiaw +yrqnFj6nH2fOBUYEDrPMeQf3pzTsDvuYlNi+sKcTEuciYPHbyDPxP8gF5ojd +2Bg+jXyO++K1Nefh+EJ8Ijkl8RIs4N+QnT3sGjnq/Mg1l9WNYfguL83n8dL3 +F/hgY3PxwanjxIzAzrdh15wd5/aI5gyQPKsLY7bSxeNg6obACbk29w98C3uE +58jY69yYU8b5PC0+vVKPsy5+ZW34Fu41V9V8t1kYuRI5EnZ4S+Q25GrYwCmF +9/p87J27DzGF3IrcelX0yTfaIgcG52Nrxjq0qyIGofNTQ++/FO0Lqc/pmgbf +W2+p2Gfju5GhR/hwahHYxTk12wa+jzv88sh7B8VdHh9GXWJJxEt8J/c/ckXk +R289gz+8z4sYhB1hr4PDZtHbC4GB1gbnN/hwzuaEkI1z7RVn3jP4gZX+4Xvo +40t6hPxgr1f4Juh7BR989sbw2+ijX81xYTsdfJC3Z9D/pe58mzx7Qt1+h1iN +bok9L0aMgg9nMr8wpufF3W1gxNz2wpieUjheECsmRJwiPsEDrPWpGW/wpY+O +yC+oOYAZaDpCd3zvG/Ss3xp7ScNGv4k8LY1Yic9YEn6J85gTtsleXoy4if1y +VyfPIcbRx5apGzEX++kV5zM7fPziiH1bov9Q4AueyImfWBe+AjzOi7x9ZWAT +P3Cn8F8Vz5/lXiOJ+IvO09jLzqlp2Mv2vIF4Wos9QgtNLfoLow6GfVIHAvfY +HnqnroK+mFcLntdk1u0lkmFRbvu8VmP7lq5FXSTdTawbB9ANF+Y/bhQkoyY3 +tW7s7SGQX6H+O5nH6HOe95bOoReXxgc4uUPtdPEZ2qQ4WXcs437YeT/V2LAm +51PcF5GB8Zu0ZnuzfRU6mhr8T4zYNKpw7enKqO+Ri14d9ahukm2w+ju0+Bv1 +KXKHS0uf3Ti1iyX3AdwNxecnue+xZ1AjypzHP6Hxuua3am5N7dGZ6xvTNX4C +8jY77/2R+guaXWskj5gW5zMu8z1rWe44vSVyIHwGvgO/R/uL6Pcu3X8uc81m +TNxDwRVxCMx3q7vP/Yt2coxjK73C31JPoiaGDRGXt0XOAy6mJMbsbYXH52fm +0xY88XPUNBcHlqaGH8Wv4lPJ3QaW5tNXc5cXXpf7wYbCd+CNajfl9nFLM8sE +HrER/N+C8M+cw/zwn+MSrwF/nrFx/+UMRsc58ECLn8EH9At/QsyhbrlH2GNr +1Ab7RSxaGuvCH9+7rfAe74+644Dw+9zdqZlyh6CeAhaHqp2Sucb7dWE8Pthk +TFIPoPbK3qhpt0Zde6ZwO6zZvvRVtQObjNHX1R/SaIyC1VcCr08VrguvKTzG +N3C1PrO+/wtWc+cN96n9HFtrcox4QzS76b3a4nvY2sD/Mq3zRd1565TwyVeo +Pb603A+r/bB0nkLd60DJdkCzbf6jRts89n5z1PVe09xP1Pap2+8lLe6/qe// +Fv2QZucrZzfaNo6MehM1osuiblfWnXMdnVvWY9T2afLarHua5o5ott3C66vI +4fuXvsNsLl2nA6d9MueEd0Ve2FQ6dynUlpJtkMZb1F6e+07XpnavwjWsvQu/ +M76f6P8hXv1En4p+z9y434t6cO6cZqDa/XLfZ77HWOEaxRdq5xbOxW8tfNbI +RLzonzuv2h0+Lf4/Y6DacwvXBZ4sfGb/afRe0WffRusUjLzWbGxsyXwn7yb6 +l0WzutH5Mj7m4fDFfy99Vge32Icui3spddmPa87thxau6w2jJp85lzpN/QFN +xij43DFzPnQMONTYy83OC8Y0+Z3+8YVrIz9Ue2ThmuZRhevE48J+qesPjrtP +n6htY/vUIqi5kFcRY4mjE+OeOC1xnvVM2AI2sU/p8e+WrkORL23Mbc/Y7X1x +/4IPcZn4hm8nxn0n6ifUUTjTXnGPWBJ3FmLvkrApbGur1jtQY1sKx/NFkZtR +7+W/GfJM8usVkWN/hv7gIf4PlK4zHlM6dwaHrA32b0hcI+VuAn/uNasjdyXP +Jd+hxUcSiwbF2MMRTztjbWq/wvrwGBJ8yDPJW8k12T97IpfIwhawCc5ma5wz +GN8ad1WwT72DWMtdgjyDHIM8k7oe92tynk+CnnPiG3kjMm6Xnf9r4EPNZPfS +2Abj/IdHLNmrNA948T8I670RcZ+xj2J858h7Obf3gqahYtx0RE7If1GseXHm +XLh/yLkp8oOOyOXIeYm/2Cj1Q3DDOX4e4/jLT2LdJRHziHffRG2cGjnrvxky +vBV9ZCdPJ1/v/B+zZnyDlw2RI6KH7Tk697vva//Xq//PzHofFFiC/3uR5xAj +iVm/K1wznh06pabB/byzjlTzO33sB1tBdu7u1BC5k9DeEf3W0vGub+k7E/bJ +velvWqMH+Mn83w/xkP86iIXExOcL022NXOW9wud0Z+G1kGdExXdo6KDh/kS+ +Ahbx77cHzQPBk3gLxhZETCdeXhM+gTPgfz32jB+ldk+eRN4xJXIP9o3M1BQ+ +L6xP6tPEBP4r4l5APRD9U0uk3tM96MnByW04K+i5pxLzsMtZYZvc1xnH3qnN +vB91AeIV58mebo0778iYh06pi5I/kUetzc2r8z+IBt+LJ4Rs1P4XhH29HbXQ +A7WPvHQtgfoWecyg0OkfSt/FTil9LwG35L3/A/8RFPc= + "]], + PolygonBox[CompressedData[" +1:eJwtl3mU1mMUx59ZXs0781te+SeJtJs2S3s5pihaRcopshWnpIUxg0ZMkY6U +KO1FRYU6dFqk0GY7SIutTnYKx1qyqxyfb9/+uOe997nLc5/7u9tbb8iYfqPz +Qwi7gELgzSSEVhw8mxfCuCiEh9IQGoAPOymEKeC7OTulKIQlmRB6Q9eDfgC9 +uCCE/8Bj0TVC6AhdGmMH2A6+AyiH160khCHZEC6GboOdLzmrz+9v2BuCvfrQ +c7E3H2eaQBfmuAP+MM6+w7fFnPXE/h3oL8L228BR/LsT/6bBuwtoAv4W/OXw +3sFeiv7Z0KdCH+buGB9ac5YHNOGsPbxK7t+BbAd49YtDqIBXCYyH7gK9GHw6 +dlsi8xS+TUfnTnQHcN/WjG2th3ctZ4X4VwfZ2+AdQn+o/EXnFPgbeMMc3tIe +nb/A3+RsJHgj7GXRfQP6FugRwBno1+TsjOCzutC90BmLrSqgN/g1sWOhOxfC +fwK6IjhGitUAZH4iPmOB/tLl7NHgGFWB38DZbGzdhY3r0H0Cf1OgPe9ZC/TJ +OSaKRX3wyalzIYvOAeRbcrYa3r3AfnxvAP9WfC0HtkO/AD0ZX44g/wZ3XQDc +DD4CKJM/wC58GwlchPxSoA26rYHf4PXC/qCsc6Um+I/glwNHsPkz0Dfy205F +/lPkj+JrV963AHpF6pxQbkxCZpByC/4PWeuuxOZm8P1839egl+osdq7eiH+d +sNcNKAe/HbgY/JC+SZFz9Cxk96W2vYj7Pgbvkfpu5Zxy7yR8bgi+ipr6HLoU +/tiMbeyEnhPZ91rAJ9i/JPFdiIWD+Dob/mH82sLZffDa4e+vWeeb8u51zv6F +dxS4G9kyfOqJ/+PhfQC9OnWtPoW9CPp05C9EtgtQB3wYZzPxfxOwBN3y1Ll7 +H/JnwmtKbLrgxy/4P5E7m8au7Sps7oKfBSbUcA01hjcJeg221iA/Brpr6rfo +zm4gnbE1EpsfYGsLNp4D/xs8oPMw9/ZKHcsKbD6XOhc/LPa3UU7uhS4tti+T +ipyzyt022P+Du1/lTUuDc249+l9D18XeTvizlHvA/HzHaAR4LudeoJ5QBj4Y +e5XwBiDfHP4/8CLu66tegM3R8Dfk+Y2jwF9E5mChc1a524w7x4F3wkYz+E8C +6/Id4+Hwb0J+CfjdyDRFdjH3jsb+R0Xuibch826Be6Z657fQDyPbD7oLdLvE +tacabgu+PHIvaQf8mfib69srZ5W7C4D3wa9XTwWvkP/401A5A94JH6ZkfIfu +ysTu5RM1D8CPxJatzdmRyD1OuaeYpcQrQf8ydAt5U6zvW+waU22pZ9ZUD8DW +VGTOV+2Qu/dn/e37Ah+WOKeVy8qJPol72zDVY+qaUG2oBlQLL0M/yV2/I7MJ +/JXEuGaOZk9V5F6jmlBtbAZK861TCe+byL7ozXq7cky5to73zeKtWxPXyl/o +bwPvB1QXuqfUQvcS4JVC92D1YvVE9UblxIPwZifOtYnQM8H3Kse4qxn694I/ +E3s2TYd+GrxZ5Ngdr2V8eS3x3cph5fI/wFDoxcj8Db5b3z/jnqneWTNx7s/j +jXuwdUfsXNE3rgTPAaUFJ3SUq3pvxjP7F/AWiXNdM0OzIw84mO+Z3wp7Jal7 +gb5xBF5W7JmoWbjoRG1MKDHe98QM0CyoBkqJzbmpZ6Vq7pzUMVAsNnJndWKf +5fs9yJ+F/IHIuGaKZsvvyLTl7nn4MxreVZpvBa7Rq2P3pkuLPavUowZH/paS +kew9ie/SDB0Hfgz5MXzvh5TTyNZG5pwCn4lXK/auoJ6h3jFFPTc4B6aCD0qs +W40/A8H/SFx7czkbCt4D/esKHEPFUmfiqUeM4b7msXuDdijtUi0VE/TLODtX +PPUIbG8DytG9MvJdmuHToGdA78lzDu5JnEPKpRugO0CfF9tWNTbfR7Zr5Nkq +narEM0izSDtXhvh+pZkN/ifyQ/Hl5JxnrXrRNvWWxLbVk1Zgezz0JujNQPfI +M16zXjE8Tb0ida/RDtAo9U6l3Uo511i7ZOTepx6pXqkZolmimajZuIpvOYN+ +MI38egTokXh3Uky6gzeM3Zu0swyB7px4l1CPaQXvJehG+e6xFZFn+8qse7dm +vHrtvhLPDvXcGry3UZFjoFgMjFy72innYKsFPk3N9zc6G7x56t1YZ+JNjjw7 +tY98lnpn0+6mnU673Wp9f/jf4+Na5UfkWa4YKpZrEvM0Q4/P0sSxVc94DPr5 +Ys9IzUbFZGPi3Vg7pHbJtiWOmWKlnXVZ6t6pnFXuHku8G2inX4G93bF7iWL0 +HvjCxLu1ZsTjiXcu7V6quWXIF8XeTbXDapdVTim3tMNpl3sdenjGPeZkZK9I +PfsV06KcdyjtUuphHcE75hwr7XCXgq/j7LR8x2ikcjHrGaHZoJ1gVOTal8z6 +xP8R9F9B/wm+iLzDaJeRD/JFOavcVQ12j53Tym3tYF9rn8m5N2km94f3Pw/x +p7I= + "]]}]}, { + EdgeForm[], + GrayLevel[0.7643547987408583], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmXmQldURxd+bt83yLSBoTImASlwCAzIYiMoqKkEhFVEUZ3BLAqJRExUY +JC5RMbJotESjqbAYYBAUJOqwqKkoawSjIlYWlwrGiv5h/gCrknJBTM6P05RV +fNz77ne/vn37dp8+fee4H/50wg11hULhUv1XUjtP7Ul6lqk/SW2lWihcorZV +z1b1a8VC4UK1D5YLhR9ozvCax4+P99uiv0jvf6vnd5pTrzl/1/gtWmBNRbKq +Hv+3ZE2oWk7PpFC4TO3/mjS/bDmsiYw29X+vd02a36z+YvVXSM589Z9T/9ys +UHhIc89RuygvFP6m8ctS74Nv2Qt7KKtfkYxxmvczteervVVjf5ash4re64Gq +57HOl7Hfr2Iv6PBJ2XtD/4n67jHNuUjto1X3H9D4fZK7Q3MWqN2tPW/R+BKN +t2repRXrf7dsUo/8qm1wYdgBu9J/QO39DYVCu+zRL+YdrNoGIyT3fu1nuNoF +2u80jc9Xu6ji7y5nrbL3dbP6/ynZ5neU/J71LtD4XMmfLvl99HuB+jPU76v+ +PMlt1zrfT6zLhNAH3SeF/rM5Tz1zNW+m2hlVfzM9+oM154PM6xyts/iO9L1C +4536vb/k7/l2VnzDfN5fGXMWl/17i/rNmn+U1t1bjG+q3lemsXvUT9Wukf4H +6m1X9s251mvNMTXb7eo664Wu74cM9J+Cz8dv+h+XPIe9nFS2bRvL1rmP5NbV +fb3P0QXr1T10+6v2m+NLslu3GD+54Hf8PkX9zrL7jPP+yOifJ91r9fYJdDii +Yj3ZIzLx1/01/0bOG1qrh9ousu1snf3J7Cf3nrAter6htY6r2B8mhe/1kZxE +8y5Qvym3vDRkoid9zqJW9pyL62zjLHSYrXU36t3Z2uP6svt8ezgGiK+PpNOb +2sNatW/p6S8ZqzR/ZdH9pQX74gD1H1f/X6ltPE/6XKp5+/TuV+qfobX6aM6Z +asflxqbdel+ss6+zr5X6dqfmz9L7K8vGDnDjE40fo/49jGMjzblK7Qw9D3LG +aqcFrhHj1arjH8xbLjufXTImsv9D2Bj4UA48fKdkfHlGOuxK7R+vBuYMjPGl ++v2Sxh+XDhPVv0H9i9UO0h56ql9MjU98A7Ysqxhn1qk/U998Cz/MLe+JomUO +03fz62y7UXqO1PjWiB1ijHjZLnu1qL8+N04wTkwND9zYo/W3pPazrWr/q6cX +vq73T6i/S+Or1N6lee+hp+S0q79H/ac1Plf2+az8tV6s9WzkkEvCVuAzMbwZ +Pw87Mj5M4y9J16Fqt9WMa2DaQc1dUjaeg+svBbZvDixgX2ADc9jL5KpxGGxn +bHF8Sw7aEriNbScH/g+NfDFCejyaOTYmJZbBHOz+QdG4DSY9pD2vARNS++Nu +8F/ta2V/i+/1rNrnwXzw8bUYfyRwD/ybU3X8EDsbyo6ZHoED6yN2tus5S3pp +uoJd56T+WunWW8+x+vYmjZ0FdtdZf2zBmXLuP9L4xvCFI9R/u86yloTvNWee +OyrmY4cRcV7ril4Lv5qnucvK1uWwfscUnBuww20l41Zn6Hxt5vnXqH1RMlZr +znV1xq/VgbdgA5jFfHQhLy8sOs/c1+Bc06H3l0hug8ab1O8VPGGssPCCevtH +R8X+tDly2RkV518w59Sav71X7fKKY+fCirGA2N6u+eNqlvmXRumhdVfW7C/I +xGeeTmwHbN+IvJp9dZfm7tTTqd8d+j2lbOxizYGxLvrWh3z8oTG+naq5V5ed +9/F/ZN5ZMA9iPnjE+h1xHn+UbssbLBucbgus3iadlmmsr3Rs1Jx/Ntk2fXP7 +9Qkaf1eyFtSMIZty9zfmwS/qfS5dE9vmFZ3XaZrfpd44SpwNCzss1Pp7m4xx +4B/rgofdc+vzQmLchsOBP19ktsusxHbg/LBBIhmfNXjt+2re4+bAtzVxdthj +XNgk7+J1NiS2X1PY88zA/6dS235q2BPsPLlsv1sbZ7ch9Z4WV7yvyfDGsuUT +O73Ljh/OcnS98yG5gRzRJ7GsQ/m+zn60LHwJXFgWOtMuj70Pk5yhNetDLmJd ++Os4yR6p5/2SZZ1bcyygS2voQwzQvzmwC1zDH/HVyTGnNfSHl+6SfrdLxljp +e46eR7TW2bn5KfLBOvSBi8O9waJFoQ9+2lJz/BJv40I3eNJ5wTfaav6eb8fX +fAbYn/1NCZuDqcNiv9iRfAF+gLesuyX4KXwLvT5KjEtn5tZxTNiB3IXN4QLk +sh5lj5ELxka8g2PsESxj/UN2Ljo/se6Jibk+nP8t9UdU7MOrqCcqzt/kIvT5 +KrAIjJkYOPNY4PZFwd8ZB8M7FF99GsxhDgb/JzfBTcAU8IS5F8d8cOiTwzVO +rIX+7SXzJ+J+rfZfUns++UTPzdLtqdx1DufTM7XvMM5v6h44DGeBb9xWcb7b +JN2WNrg+IWbnRw7tklufjRGDvavGlpLmd2uyLzLeM/LUkswcui2xvvVhH2IC +XCQu1mX2u6ma83hiHv166vw4J3IZPHFO8HbW7BXysR1rgYEztX7vJvsccfRV +cJvhFef7Q/k9M5d4OTPe3x2cAG7BOPzil9p3U5M52s8Tn/M2zd+gvX8ON1D/ +0wbjDphDrUOe4FzeTN3fnbqm6191/fKy7LOiwbGxvWZcAG93SuZ69V8JzFsf +41MS2wTb4GvDAzORNyBkDu7iWu323FgGpk3MbVNsiy9RDzYHP3lG/U9r9o93 +cvffzr3XlY3eL1wNztaSOm63hz7Ubfc2OD8je1vIB2u/qDmnPKZvP9bYPzLX +AfAY+AkxQ+yMCA7cGLnySa19A/Er2UNL5nmcwzbNb1fbIzOPh8OvS83F4eT9 +4PglfwtONef223658bJ7vTGTOG6NWOYM8V94CP5O/QKPx3bY8HnJ/IXGrwW7 +6lxPYGvstyK3L47PjEltgcXg1vjI360xThwhtzX642IO+HZnxRwG7tNPshrI +G6k5DjUZ/KczYgKbt6WuFVvVjiyZe8Grvpc6x25OjCs9ow4anJmHDMm8xika ++0bRtoejwbWur7kuoPYfVPScHQXXsK2B/8MDn7cENrCf44P7HxX8f0bUtcQj +cflB9EelxmHwuCXm8x39ByTnRLU3ps4PP069BjbGP/Ejcie+RK3aLepcMAU/ +xB8XpPYxfI2alVodPXj2hg5XRf31YWpchltQJywtOr9TAz6pdyeo/93M/nFC +1IngKLXDIQ5VZx5J/nw+8X1KN/nCjbkx9/Kosa4Pew4Je+pf4du5uf6U4BSv +l7wua6AHfR7yEmPTUnObPal5B3mI36tTz78xidwY84fm9ocjuMfKfI9zeeZ6 +nFqcu4VHUsc6OQE/Yj9wgNbwq8mJ98Ze4QCD45w4I+7K2Bd3DtgO/wJjseWk +qLvII4uC/zycGrfBb3ypPtbiDgP+h048xdCNmOkeNRq4VIpxfB9cAd/gSODF +1ZEHL4p8Ss49XCt3TY0VYMbA4B3MoQbm7KhLsP0dYf8/Zc4Lr6pdnpoD/SRx +fI2K2pWYZRyb9E3Ne+G/YA54g22opeGFY9W+XHTsUk9NDdzelxm3Og6fV+Zz +PaD2y9SxMF3tLZnrtN2Zay/8rz1ql/bwvYcz13q/zlwr46v4AbkbPgSWtqeO +9f6J+c3K8LFNgeN/UDswdW7vr72cmjo3dg1MHRr3C2DnsLgr2RG1IvuiHuWc +qEnhj1cEhyQfUo+TNxeGH+KPzOOswX98kvsueACYdag+6OJ7EewAPoBP8C9s +yf0fNqamPTU3bg7MzR8OBudZHVwCWUcnxu4JWndtyfiA394WZzU6avwVUfvA +J+GSz0Z9xFmDz+OjRsA3t8Z9xfzM9Xpb1OzYiRyFrYiPtREjcABqDfysPurK +2VG7LAsOzxnCldkXORafw9+wFbbF//eFjbFbMd4xvjf2NjHxvQ/3P0sz19JP +xF7AHnCfMxucGkuHpL4XI5/NTMwdyGv85n4F7IVjwz2bg3+ODBzYVnBMbAzs +75+Gb6TGf+4kuZs8bFN0GBS5amRmLs63HybOLfgyMdUSa5AbqFn3hA7gw2nh +N3B4Yp+8wHm2xzlS+xFT0wK/l0Z8tUUOJi8jf3Doj9+BdWDRzoh9MABbDYn8 ++GRw+oOZbdMcOYm8SW2Ab1LP9YqabkDUFcQX91XczXEO3OPgc+gJdwGXjs1c +cxwTdQc1X2PUffgQ31JHU6+cG7UM+yDnLgneS147JepQMBGfn1OzLxK758ff +F8ZwR5q6Pr9T/VviDvSa1DXre6HngOBL8Cb4Drh2OFbAN/zz7sQxcp2+PS71 +ufROfbdEvkevVbn5xGq1z+W+E+nMnYvJy+gNNqwK/zw98Is7P2KH9cib3H9/ +HHmcHLUwzgv86x6/b03M4XdIxv7MtWqL2n1NPqMxwZOHRl32QuDepqgjZgU3 ++GbqPe6K++TOuB8j/+AnxBq5a27owL0wMblT3yWJ7f5Mbo6LX/5GY6dXnGPI +89MT12gvZLZp/9jn9tx3Tztyx82s8OebEvsweZ579P2RK6kxwNatmWsP9jQ7 +MUa2B04uiL/7dEhmmjsvZrmxkLVZA/96N3wMrG0JPnYgcZ4/kH59N4dvcM9x +Utx1ECODgs98lnmfn2fG3hcjLzcFD4aDotMh3h5clt/0zwp9ySMPBgZSe+4I +zAKvjkrtM0eq3ZS4fu6qvYxOnB/Jk/8HgI1O3Q== + "]], + PolygonBox[CompressedData[" +1:eJwllmmwjmUYx2/e9z3rsxxrWpyOcZLJvoxibIXKOhEiMqaiCCXlIJJqso+y +tMxYZnDskQmHatLimA5la1TUjBb60BdqWkSq33/+H655rv2572u9mzz85JAp +tUMIR4EsUFwYwv6iEK7mhZADBkUhVNQK4RdgcRxC3ZIQ8gtCuIxef/C+wFLw +luh2Ap+F/hZ02+O0OglhDDYVmRC+Rr46DWEu0Ab8JLyfkW0BjoCvxaYS/BRQ +Cd4a+y/B+6OfAf8rP4Sz4DvgnUD/FFDBv87yj/q5EBoCq6DPpNbdjfxB6F3A +FehK5IOQNS3GB+d9Cd5g7jEV+Tr+15R/bMP3OmQrgGyeY3AN/z1yvtNz6G5E +dpD4zMF/+3zjC+CV55nXAp318HuDd8bfBmRdgHbw2gLb4ZXX9j+fRvcq/sdn +fecr4OXo1gOG8s8cvBr0L+KrCfQa9DcVOUfKTR5wjvtUFllXZx6O/hT0J/Ov +Ldz3b3x2zvmfXcBb4mMDsiHwYuR90S9FfxLye8E/g7cX+Sjk9cFfQ/8SdBVn +nIX9MHgjavuOh8BLsLmJuqmAVwf8rci18jY+z6HfBl438PrE+iSy0cDCWs7p +KuUenXewX4y//anv/mGRY6UY9IO3hm8J9p9jOx2bV/HXAB89wQci34B8Pvrv +gt9APE5jvwm6FzZD0ZmccUyGgc/H/2bkt+Q5Z43gDeb/z3Oe68EP46MS20L8 +PwX9D+frlnMNbOP/H8D7Hl/lyN8HT+EtQL8rvFbQi9D/JeOeWQh+O7y7Mq5B +1eI6eJegFyBfm/gOuksV/79TvcL5F3PGFnnuqQuRZY9g05WzPYPOsoxj8Cx4 +VerYfQu9F3o8PteSq2vAbGzbQ48CHw10SHxmnV05rsF2VOSzFPCPlch2xe69 +TfBmIjuKzb9Z50i52pq6tu6DXq56iJxrxVix3o58Wr5zptwNRmcGvg7jYwn4 +BXRmoVvG3aYh34p995xjrFj/pnrKumZag+8DunOeXfh4KXJPq7dPoPNm4hwp +V+q9qeDPps6r8jsd/EDsOCqec1LnSLl6mTNG+CoHbsz6n/r3ZugunOV3dE7G +7mH1snpGvTMeei70MWAa9E/Q96NfhP158I840+Wsa0K10Qy4GboM+FP9hXxX +cExrwM8AdXOumU+Qj9Z9artHRoG/jvyLrGt0FfgJYF/WPXccvIg7DUd/MD4i +9WOJ54J6NAWv4v/DkQ0DUuQF0MuCeSXQxalt8/GZj6x35F7fC8zA/0DgR/UC +MAD8KmdqVss1+A/4wtR3f5x/LgbvqZpGtpT/9wB/KPbsPwhvne6Dzjd5roGx +6i/qfQqxag19HfSx2LU4G51l6F5BPhH5C/yjEWcrRf5QcI3tQH6P4oftcmzu +1qyOjVej0x28b+re1j+2gT8au1Z24H85dAPoVhnnQLkYF1umGlIt6Uw6m86g +s8yL3GtngT3IyoCOmgfY/5y4JlQbmrmXoadH3nXaWdpdM/HZHN8F3KcY2RNA +dcYxUWwWpY7lrcg7qn9jx3IP92kXe8dp1+nMDaEnxO5V1fCv4PdEzlWKzlfq +PfzVZPzPWeAnYte2ali13FI51DzHf4vYO1i7WDabNI9S95JmZp8Sn1lnHwt0 +Slwzqp3G6JSB1408q1QDHbCfIf/KLT4rlJvIZ0uA08oXPl8pdM2qdrWjtauX +EO8D4Of57xHke6CrgVrwvst4JuzEV2dkRej0ZdYfQn6Vbyl56lfgHX848SzU +jNGs0Q7SLtLO0O5QjavW1VO9kCXAmuA3it4qK6Eb5PzG0Ftjb+q3zd+yAd8Z ++y3ymGYW8qdTx0Jvnqmpd5Z2l2qkCbo/FPsNoreHzvxpYl+bic9B8JpC7zDt +Lt1ZM0uzSzvnvdg9rF5+ANiP73bQ83KOsWKtmCq22tna3Y0T7+YzQCl4nRLv +er3h9Jbbk3p3aia1xX536tmomhgA/h42v2Y9EzUb68IbCf4gcCByD6gXlJMX +oeukPpt2aDX47YlrRTNSs/KOxG8tvfk66z2Czpycd5Z2l2KoWOpN1DXxjtCu +0MzS7GqVeJZoRrYEr5f6LMqZcjcG3qtZz4hSzTPkq3KeEReLHQPFQrw+ul/k +t47upLvprfZRkd92erPpzaW313F8vpG4x9Xr2uFHuM8S9Kfjd0CB81QGnsG+ +Z4F52lHaVXrDjcTXiMi+NNNXIhuSeLZpR2pX1it2zavW5UM7Q7tDb4hO4JNi +70LtlD9i72DtYt15BfgEYH3WNdE29QzULBRvomIfuddXQ9+GvHXq2aIctFHv +pd7VmvkbU9ekalM77ePEbwi9JTSzNsTutb8KXU/qOc0sza7mwH+xZ7hm+XJ8 +jIvMk0xvzg7qt9RvUe0w7bKDhe5p9bLecBcT2+oNc0nzOfHZVZPPYP8/7TWT +lw== + "]]}]}, { + EdgeForm[], + GrayLevel[0.8551709883099771], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJxFmG1sluUVx++nfZ67Ldwv9T1sg+zBF6bIxkrrIuI21H2YCSVB2RdbZIAx +FUXUyOaQFtptWSHWgEwHcdNExM2W6qhzohTdi4iAWzZlG0vM4hZF2JINnXzQ +ZO7/6/8QP1w5133d5zrXuc7L/5z7ri+7fdGqhiRJ+ipJ0ii6sDVJ1k5Oknmi +M2tJ8p4W79R6T5YkD4rn6SJJXs+T5AOt/zHoKY1d4jmo5xWi74jnZs3Xa/2B +Mkk6m5Jkv+ZDerdFz69ovkLvhyXzch0+pnl3alnIuUs8k6tJ8rbWl2o8pHMf +1NqVkjtL/KNa+550XNySJM3NpudM9vwB8RzW3i2iRzU6JO8c8beGzGadWZuU +JOeJv9Tzq+L5WPSAaFXrZ2t9vuTc3WI+eOY1mGeX9HhOchLZ5WBh27yt9XHR +bvFkml8quiP3fVfrrD+LHtEY1rY5umNb6uefi+dPouvEs0EyZ2t9vWhfaTlF +Zrn7NNZrb7fWllTtA+zBM+voMB4+elEyL9S7Du1tT30eZ9xWtR7ocEv48aT0 +/3Vu+xwNu74unhE939doH/24Yt++EX75lvbu0NoIvtV8RPOVms/U3rfEs0fP +68qYa71fPKNae0bzV7X+d62/oHmf1oe1fovmu3T2Zs1XZI4tdEPH78gPdY0F +8sV2+aJf83/pPqt0l9s15urM1THfm1ivlVXfcTjm3AV6a6xfITnflZweyfyR +5gOaH5fMxdKjV3uuF12uca/0PCaa6owOzWui5+eeTxe9TOMlyTsl+r72/SD1 +/m2idY1Jmn+65vWF4jtUsyx8NCI7tEnONO39jeJrp/ToUH7MF8/8Rt9rQ4N5 +PpKc88R/o969Ivp57RnF56KbxPNl8cwOHS+pWU/ssSpswjvm7JkmOlVjSGsD +FZ/RpfU7mnwWz5w30OAcniF5n9NYnlguz6yfFO9FcZ9S+hca1zVbb2QTJ8iZ +EXuvLS1zmHtEDA8FRiDvs7rLZ2q211V6HpI97pnsfNio+bc1vzi1D28LP2Jz +cpx7tOe2W4fo7Nw2eUZnDaaWi19+qHh6S/SvOvNvGlO1vk1r/20yD+dCpwZ/ +b+rYx4/tTcaxomKM2iWefj2/mzruWyvGFLAF3CJOxyY5Vslhcvms0jhCXrBn +T2a8ODN8212z/Kxi/BiOeCYnieHHdK+zNJ9T2B6DLbYJdrq/xbYCJ+ABE9C9 +3mD9l0n2NzWeTEyX14wRS2OdOXRp8PxWuu/WOJEaZ6Y02F/c74YGP78m3jNP +n5V7/pju9KnS8vdpPi8wBcy+RvFxLPUZ3HWJxsPauzo31uwvLRf5zRXLQubv +9X6s0XWI3ClL8/xS76/W2jUaL1KbGgJ/K45/cmluyOsKmYdlp0Maz8qf/yuM +EeAQdvtizbZbFrkPBryfO19uFu+5pXV+QfzbU98B/deW9sO9pdfJ/y69+1rN ++oF9B8Mm2OY/hc/6t+jZpfU+UJrvKuyWGEN74i7vRo2gVjyX+T7Y4J3ccUWt +oOYRW8RVr3hbq/Y9Obs76sK4+P+h+Uu5sXY8asprufN5tLCd7gvM587c/cLM +WAN+XJBZ3ljI3Bq+uUHrb4p+v9G+WCIbjOouA3q+u7RON+WuIQNRR6gz/VFr +Fja5P8g17oh4IC4yPU9P7Q9qUW/odkngEvfbGvbHD9TbGwNb5hfGi48L5wy+ +bSuMT9yLunUqMPwi6b+xyfWdOg9mQsf17qbM9fX+0rrPDXxbUBp//6D3v5Cc +K4nJ0v0Bc/x4JHdvMxx18vLI5Xsy2+Ipve/Unq9q/anMuNgd+p/GbnQ4HD7C +VztFn2g0Xm3KPe/MjH/TAtuxzcWBvZviPviPukv93Ss6ED57VvMLhCG58n2R +4qg3+pXdWn8+N15Rz1/W+yeUO18JP02JnPpLxDl+BxO6oz+5PurpYsmblRnb +7qQnanL+gTmHM9cF6sNY2BO7Ygts8iXxF02OD87E1vB8IWJ5f8jBBuA4NsHn +Ez1AxXUAv+LLPWFn7E1NHox63Rny14r3aOoYYv5y6Xw4o3TtJl/IG+rkQNTJ +3dEXUMPoB/E7/s8jnvHjubnrDvVnc9W1ljo7ERcVx8NPS9ezb4h3TeQLeQNe +UmOoLx8qdq/QGR8Vzgt0Rc/e6DfwBTk3kXuJexpwAUxgfVX0S9RpZCL7/NT5 +BY5tiZ75Z/i6apvujJ720sAibNMZtpoe+8nNMvKUdWojMTgS9j+dTx/kxodb +RdeljhXi5J+pY4paU89tW+KCOKL2DEUvQSzTq9AL0pvjf+pyR9RmYooaQ32Z +0+R3xNxg4ftsLKwjumKvvtT+BU+6Yg/81NEFIZ98WBx1C3pdzDlnUcyPVI2B +xAJn4ytqKN8E+6IvBzvAkN/lgXnhd3pfYuAN8DVzzaiUjvky7DzxLVFxP0DO +5RFXReQEfoe3iHtxxyz2kpfkJ3WFd0XwY1vsD/6TB+QDvRc98fGIOWINjJ4V +MdMTcXN1yKNe8Xw8eiD8eCL63no8M18YuqEPWEZ+gI1tEdfEFT0cvqVP5jsB +2Rsyxzh3IcbAv7WpcxA7H4v9J3Pjck/umrw96u+JoOgw0f/WnBfU5+0R83xP +EmMrM8smzzdHL08+os9EP1sz5hNjS6NfItdH4y74+FD0J/2RA/j4UWHmmhbX +Y+xN3NPTgNXIJR+Jw97IX+4xGn0L8tApjf6dHKImzAuMwZb0juTn89L/Mn2r +H9B5XxedFlizRDH/K6093uL47orzOKse506KXrcv+t169DDY573CNam9cC+L +T/EtNYT+hD5lZlB8wTdtFrGKL7qip4Vui7O4PzYm9sC5euQgfTk4uTVzT/dm +9BL05IMRn3xvg7OHop4/FHLuiv8M/G+g9s2I3gD7ETfYEN2IOfTDNhviG4je +ak76yXvmT8a3D7gDtnO3tlgfz9xPTynN2x7rHzbb363VT76jiGm+L7e1OE/2 +Zu71+Z5D5p6I/31Rz+jRwDbqGs/8C+F7oz++tzriLsTXxHeI5P+kMAY9Urju +7QhsSaP/IyanR414OL6bBiK2+YaHf430+j+6GzOG + "]], + PolygonBox[CompressedData[" +1:eJwtlm1MlmUUxy/elOd57hdMdLkli1KXlWXGU2tqRdHWl/pgoy8KJmWTaWlv +WE0ZQbbEtTJdaiutZWoJ2KQMzMg08I3VllrrQzVrlFZbkdaH2qLff38+nO1/ +7vN+Xeec665sWD7v4cIQwvNQMbQnCWEI8GdRCIujEHZBf4P/gk7GIXRnQ5iT +CeHXMSH8BlXmsONbdWkId0FzkR2Gz48NoQoqh/8U/nrwgpIQFuFjEgE3FYRw +H3gq9inye7CthVYT7ytinYbeQ36EfDrRHSGnY+Bn0d+Mz3PEbkT/aGJZO/7H +Yft2xjkotmJewEcF8mr8VYGfROckeDa5/IPtfPhuxUNnK3weWgge4Nt29CcQ +7wn8pXwrJV5BGsId2HaRUyu2U6HJxY6hWHuzrlm1/kKOnXy7mnoj5D+B6/Df +hu0g/AbwO6nxeb7tku8y8iJOGd9Wwh+BFuIrQT6DWA9CfUW+I93Vv4lrmUGM +OeDboIeQLVPN4BWRa/mGXDbh60ZyuBXdg9z1DeAHdMbIX4AeAd+N/k5wP/Zr +sR+GXiF2vXoCfIj62qlvOv5a0FuKTUeBz+A8uAnZVnQqC13DtMix3gQvwf7L +2L3UCi0BD6SOvQD9fvCjsWuV78fA41OfXR3yXnz18K0X+Rnk+8FDxBok5j7u +emC0B9QLNyOfibwV+6ox7qmz8GfJYRrnNQw/CP9+at11+O8GtyeufQffDuv+ +oTz5nyHmRPC9se+qGaoFfx57Vq7C5xvEfpFcns55FmYSdyvfpiO7AjqH79rI +tpPhv4ffBn8lOI+Py/F1WWysHJVrBfws3Q01jeA3znpmNCvzSu1TvuVDvmbB +j6eW6+D/AG+JHOsS6Dv4ltR5/YjPvtg5K3fNwEb4a2OfRRc1XwP+GVql3LB5 +XGeZuBc0I5qVkcS9tpua/gPvRf/rIvegenEP/Kki7xDtkg+h+fjPIS/D326o +rdA1doBvx2Y5shVQDXgf9t8iqyHHTtmjM1cLC74HPAlqAL/LpzLk9disL/aM +adZ+T3wWmhnNzqXq+eCYlbFtZKseUa9sSN176u+Nqc9MZ3eB89+M7hbud03O +u0A7SD2t3n5OOxJ/UyKfXT2yNdivSu1rLXZ3Mtvd6NxU6JlpQfdi5ItKXMPH +8EfhG5H/gL9j4B0Zz5xy0k4dC56S893XQAn87Ix3oXaodobmrhn9JnDQmZaM +7iz8n4p9V8rhNHhxbF3tgJfRbUJne4F3lnbXM5F3nc78A/hGqK3Id/pU5BnW +LGunard+AX8Ruqup+SX8ndBOLPKZH4+9g7SL1FMN8DvJ/bOsd+Ut1Ncbe7a1 +b5tTvzX9Wcv05mSJ8ZrOl3omIi/PeQdo9vUGaWY1u5rZQ7F7Vr0rG9lOgK8r +8U49EHmmNFvqmQr4fOy3ohp5B/yy2HerHmyDPxD7brSDtItUo2rVjmxE/lHk +3BRDsdQD6gWd2XBsn/KtHlev5/WGYHs/347rvDK+Y92tdtqJxL2uN1Bv4bbE +b5XOVGfbF9lWPaReGpd6l2rGeiLPjGZHPaBe6Ir9VuiOVyLbH3m3qufKkR+M +vRuU0yeaFeTrC3ynr8N3Jd6d+taZ+I3WW62Zb448I5oVvSHrkC2N/NZrJ70V ++214NTP678C3odi7QP8E+jf4HyMtH40= + "]], + + PolygonBox[{{3966, 1039, 2839, 2760, 4150}, {4156, 2939, + 2446, 1584, 3969}}]}]}, { + EdgeForm[], + GrayLevel[1.], + GraphicsGroupBox[{ + PolygonBox[CompressedData[" +1:eJwtVU1IlFEUfeOo44zzfZ+aiYajWQQhBCn+BLUoFdpGRMtRxzZp9g+1qTQq +2iRCQYsszQItNCIN8ycTDKQI3BTo3kohglIwIapzOnfxeO97795z7zv33PeV +pU4dPpnmnOvDCGM0RpxrwsgNOXcncG4407nbmEcwj2I8gY0X0vc9rOfDsunE +3J/l3BBGCfzX8d2b7tw1zHfh3wOf03HnjuD8IUYCNt3YX8X5vOfcS8MndknM +ucps507A7hvmIny3YD0TdW4L1oPwrfed24vEh4C5P8O5BeDswXcvzg/Brhzr +rbArxQiAWYUYk8h3DfOjkOIxFrGKMTZhvQLMCPwexMUBucjDfp0v7BfwzQR+ +IXLKxd0WEfM6xgRwu8LigtgfYHcGe8vwa0XeFdjLx2gGXi1wXuFsd4bufgXr +t5gr8V2IsypglyJGO/yehhR3HDbnwZWHmF89YfCMOLw/eajGfmOa4v/nELFq +0pT/MPJYgu8zzA3GG/krRpwERluWYrNGt5zuthSWP2tCrsghOWY9mQ/rXW7x +tqYpJvVwE/nXxVTjPtThRrbqsIz8fOBeDYQ5YvyPGjZ1xfvwXsRvAEZ9TJpi +fMah3UHsdQFzAPsdcdVgxBOXX4A/G9Y9mAvvkvL0TQ1SC9QRa8G6tFttnnuK +ewl41b7VwZdtq9l/Bm4r9idC0nDCdENep3A2ibHqSQ9tmKc9cdgRyC5hWuJc +Ymvehznx7mUR8RSYJhmDfrwT9TFrfJeZzRtPOc1gLoypT1qs/zYsRioizSUx +ysFhXrrqRp12mlaLLZcxpx7gN9fbPfVCLzjZhTGA/blAPTmH9c6Q9EE+8uwe ++VbH1+wfnBXC/oD1DnuIPnPWa7/5DsSU0zvM3dBKRab6jph8f9asZ3cA73Jc +NWKtGJfc0q7H9Md6dwbC2JejmAumVfZLs71p1B91mBNX3diH7EHWb8r6kbyO +RVRvck89UEt8e1ayVR/yQn74ZrBfGJc5sQe7jFtqfzymupIPxmUuvPfFqO7O +PLhfFKgm3GOdHXy/R1VL8kj/adhGsxSvxnqPttQD7XjGfXI8aDw/9pQ/dX3O +U25nMR+Pq2f4Bl+I6l0jLrlMWj8nTT/sy/ue+DkGvz++3ty/vnRJjshPs2mO +PKfs/eSa2ukybgrsHYsB55On/8RHYscVd3Og/8a6vav85v6knTdabqw965Nr +6ybTMUejafinr3f1h6+9pO0fxX0LssUXMZoMhzkxN761jP/Lcli1/qM2+u3/ +xj7m+aLZ0I/5kb/3gfRTHVfclMXm/4D/hW2eMDbsjWb8WsvhH5Qu4UM= + "]], + PolygonBox[CompressedData[" +1:eJwlk19ojnEUx8/e55297/O8z/OMMu/UbCMlpby8iyIxijuSXKJNLe/8d0H5 +txVxJcWNIvOnJkzDhezdZhdqkbUbivsZu1HsAiV8vp2LU9/z+53zPef3PefX +2nFk5+GMmbVjWWw6NBvLmz2oMxvHGiKzk/hzucznzM6kZsvnmPUGZqfB72Oz +n+ALWAV8vmD2Ebyx1uxvYvYI/1fgMR+4/4LFcLVQtBM8A389NXflvGY7+BJn +TeA7nP1LnGst8ZvAbfC94O4zfK/I30z8DeIfE3s351yXI88V5xNypqhXJX6C ++CHu+3hPCxyt2LPYuR/WmJ2DeylWRYc+crrIXRW5JtLiIHzHib8CVz/+CmK7 +8S/if8J68JuILZGzDL5u4s8WnHsNNZ7GrpG0kkbSaj69FMnpJLYZzrHY3zZE +zkjsGkvrATS/Dt5Wj06hz0CzOArHTWKL8N8nfj/+cOBvHqD/Cv5r/Gn8wcQ1 +l/bK6QAvgGMv/h5smNhJzmaJX4nm9/Bfht6jepNmqv2HXudlvYdT3N1WPxk/ +W09/Jc6vcr4dPArHPu4q2MLUTVgzfAtuxJKsx4wUvEf1qh4O4PdwPxU4Zy/4 +G7y7876Lv+FYjdZbqd+PX6px7ReFPivNoFrwt2nnGlLfFYs8VzujmWg26uEr +uAubDHzGJ8A78r4z2hW9UZpIG2l8K/ad0m4dg/Zd7DPT7NTzKLgNW5fxnSqD +r6U+S9VQreex747+iP6Kdk67p52a5e67drDWZ6hZlhOftc5+gBfHXruOsyXg +Im97E7pe+rPNoWskbQ7x3g28pxw5rmDjqe+ydkC7oL+3JfS/pD/YGHqOYrWj +/wGopIk6 + "]]}]}}, {{}, {}, + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3230, 3817, 3231, 3363, 3362, 3816, 3532, 3533, + 3758, 3757, 3172, 3485, 3235, 3535, 3984, 3177, 3760, + 3178, 3825, 3826, 3636, 3637, 3492, 3184, 3991, 3426, + 3427, 3559, 3956, 3082, 3862, 3259, 3861, 3260, 3863, + 4039, 3117, 3442, 3443, 3431, 3987, 3988, 3963, 3964, + 4168}], + + LineBox[{3652, 3651, 3244, 3381, 3380, 3572, 3109, 3687, + 3571, 3435, 3200, 3507, 3243, 3541, 3540, 3434, 3199, + 3838, 3839, 3649, 3650, 3506, 3198, 3504, 3197, 3505, + 3560, 3970, 3088, 3865, 3261, 3864, 3262, 3866, 4042, + 3125, 3519, 3520, 3517, 3518, 3968, 3969, 4156, 4175}]}, + "0.8999999999999999`"], + Annotation[#, 0.8999999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwVzb9KAmAUhvHTJvRHG2qMvIW8hpaQBkmXSCqsRagksmvIhsBMalGhpSho +tNmowcJdh5pyrTuon8PDc95z3o8vvXuYO5iKiCwaMxGjuYgrXpyNWMBQ7vEL +auYzrLufy9f8Kd/wF+d5wz6PAu6SEfeou11iC0Us6f1Ns86j+wPW8GGftlvG +WK/P72ibW9h0b8gdHvCFN3vmJ7d9/uFfrCCDW52yfVNv27yDbxzLCfsUdznJ +zzzPr3jDkV4FJdQn//AJV3GK1VTEPyu7LQk= + "]], + + LineBox[{4025, 3918, 3247, 3383, 3382, 3574, 3110, 3688, + 3573, 3436, 3203, 3510, 3245, 3840, 3246, 3841, 3202, + 3508, 3201, 3509, 4023, 4024, 3786, 3787, 3783, 3785, + 3784, 3089, 3376, 4020, 4019, 3917, 3281, 3375, 3374, + 3570, 3108, 3973, 3569, 3433, 3193, 3503, 3240, 3539, + 3538, 3432, 3192, 3834, 3835, 3644, 3645, 3502, 3191, + 3500, 3190, 3501, 3558, 3967, 3086, 3859, 3257, 3858, + 3258, 3860, 4040, 4041, 3515, 3516, 3512, 3514, 3965, + 3513, 3966, 4150, 4169}]}, "0.8099999999999999`"], + Annotation[#, 0.8099999999999999, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwV0D0vQ2EYBuDHJNFPk0oQZiWMFh20RMqgiYT6GJgYCIvyF4iEKAZfA4vE +6hd0YSEREkZ/wC4GV4cr9/M+5z7vSU7fymZloyUiVhlMRuykImoMZyKGWEtH +rDNqV+BNp+Q8zgQ/iYiiXoke5266aOi162d5cX5llzH7mizKPXkk3+Wx/Gje +Kctyimlu3XvHvvmAGSrk9H59u8P9f/JeZ5Jn+067HN96dU45Yc6zM3kpnzw/ +1J83n9tV5afzF2UeqOss2lflQnMmrzvAlflG51oucWFelltym17vtZIwJ2kj +TYq8/Yhuv2w4z/JozmT9Lwr8A2NVMC4= + "]], + LineBox[CompressedData[" +1:eJwV0Dsyg2EUgOGTWkjYgdGRxBDjFkN0DJUdMCMlgzCEDWAdLolKQaEhbnXY +gssaGDE8f/HM+33nfPmL9K6sL62lImKZnzSdEW2qbLNDmVk+7UuZiA+d0h4t +JvuuiBmmeTUbNhui4M0geXJU7A/sn7WubW3or+7ro9b0Sa+8v+be+YFbmtyR +8Sbv+2m99GaRlnPObCDh3ufer6veV51v9Exf7FtU2HL/Mv9mkhIX5pvmdd3Q +ho6bTyS/dz7nhFN2fb/GHh3ejnozxpvdO4fmxxwxYv9nVtSUzjNH0707679k +gX8/gjYs + "]]}, "0.72`"], Annotation[#, 0.72, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + LineBox[CompressedData[" +1:eJwVzrtKgmEYwPEn6GBkGbUZJJZdRTdggwWZUavNKrjawRpCGlqCpNPcJbQH +tTQ5NRh2cHDtBgR/Dj/+3/PyfO/3Zcu13epERGxzlYyoL0Rsal63WPb8PxeR +mI+Y5d28mop404wuOevYO+aEBmec8smNvXPNa3N8p17orXa1rV+6o0Xdo8Sz +u6913/mBHpL2PPQvad9c4cO8bm+DHBlnfXv3PHDHE48MmFyM+PZO2e6PTpl7 +Oq1/euT8V2fMCYrmV2ruvXT+ohWqtMxrdgqMAE1ZKU4= + "]], + LineBox[CompressedData[" +1:eJwVz7FKQmEYxvFXyEHIDO/AsDw5dAFBt2Ag7ZEFNZhOXUR3UVHNqZVF6tJc +bW1NOZtQFjREvzP8+b/P873fdzilRrveykTEJrqFiNFCxNF8xAMPMUBeXs1H +VPGSzvaeecqJLuElucJ79u9xhx9c6r95hl205T6f8ydf8Be3+IYP+ZavvHXN +TbnDPXSRk1d8s4KndLb3gQmWdRso6f/wi6w8hzIa7u9g2zxzVjS/crIYMeY1 +fk//j6vY8uYjzuwf6E94n0/5mN+crdur4R+2ji8t + "]]}, "0.63`"], Annotation[#, 0.63, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3057, 4001, 3700, 3132, 3699, 3133, 3701, 3211, + 3906, 3907, 3695, 3696, 3126, 3397, 3127, 3697, 3453, + 3216, 3794, 3615, 3458, 3141, 3407, 3408, 3409, 4003, + 3715, 3146, 3662, 3663, 3664, 4006, 3725, 3152, 3670, + 3671, 3097, 3067, 3727, 3728, 3674, 3675, 3099, 3070, + 3474, 3475, 3417, 3994, 3995, 3948, 3949, 3103, 3072, + 3846, 3847, 3845, 3849, 3848, 3114, 3384, 4033, 4032, + 3922, 3253, 4107, 4108, 3942, 4151, 4167}], + + LineBox[{4059, 4060, 3822, 3821, 3680, 3171, 3756, 3234, + 3820, 3819, 3679, 3170, 3818, 3233, 3632, 3633, 3484, + 3169, 3482, 3168, 3483, 4015, 3755, 3167, 3753, 3166, + 3754, 4014, 3752, 3165, 3749, 3751, 3750, 3078, 3747, + 3748, 3744, 3746, 3745, 3077, 3480, 3481, 3478, 3479, + 3950, 3952, 3951, 3076, 3630, 3631, 3553, 3554, 3974, + 3976, 3975, 3122, 3581, 3582, 3328, 3327, 3399, 3264, + 4109, 4110, 4067, 4152, 4170}]}, "0.54`"], + Annotation[#, 0.54, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3075, 4096, 4097, 3937, 4099, 4098, 3293, 4094, + 4095, 3936, 4093, 4092, 3074, 4088, 4089, 3935, 4091, + 4090, 3292, 3897, 3898, 3894, 3896, 3895, 3073, 3812, + 3813, 3627, 3626, 3625, 3228, 3357, 3356, 3568, 3101, + 3972, 3567, 3416, 3473, 3472, 3528, 3100, 3676, 3415, + 3601, 3600, 3285, 3891, 3892, 3890, 3290, 3893, 3291, + 3578, 3577, 3729, 3159, 3927, 3451, 3452, 3905, 3316, + 3693, 3694, 4155, 4157, 4166}], + LineBox[CompressedData[" +1:eJwV0LsyQ1EUgOGlzrVxF5ICDZ0CtQl1OkQKLcNLJGg9gHfwDJ7AbSQYnful +kERC5zvFN3/22uesTFLa3q/sDURElftMRJMWN5zkIu70WG/1NB2x6vOvlvVP +17Sn8/mIvg7pMCO0UxHv7j+o8sUnZ56b0ALjvPHKonk6G5EhRY4s1+Yz9s0y +yhiDZl37L713xQYl8yLL7go6xSTTLJk9e+aFTZ54pGV/gwPqHHHIA9/u22zR +pUPTnp72qSXvO/8k/4+ea13XtaEXye/z3XN0nHfs3GXBeYV/6Lo48Q== + "]]}, "0.44999999999999996`"], + Annotation[#, 0.44999999999999996`, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3227, 3527, 3989, 3526, 3411, 3156, 3471, 3226, + 3525, 3524, 3410, 3155, 3808, 3809, 3623, 3624, 3470, + 3154, 3468, 3153, 3469, 3552, 4064, 3252, 3921, 4030, + 4031, 3263, 4029, 4028, 3920, 3207, 4055, 4056, 3621, + 3622, 4065, 4066, 4054, 4160}], + + LineBox[{4002, 3605, 3980, 3134, 3702, 3135, 3454, 3212, + 3521, 3981, 3137, 3703, 3138, 3795, 3796, 3616, 3617, + 3331, 3142, 3398, 3324, 3325, 3402, 4063, 3250, 3919, + 4026, 4027, 3251, 4043, 3147, 3926, 3148, 4052, 4053, + 3618, 3619, 4131, 4132, 4124, 4176}]}, "0.36`"], + Annotation[#, 0.36, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3213, 3455, 3136, 3403, 3404, 3092, 3059, 3456, + 3999, 3457, 3405, 3992, 3993, 3943, 3944, 3094, 3061, + 3564, 3565, 3272, 3603, 3604, 3388, 3387, 3347, 3113, + 3903, 3904, 3587, 3589, 3588, 3313, 4149, 4161}], + + LineBox[{3620, 3466, 3149, 3463, 3465, 3464, 3065, 3461, + 3462, 3459, 3460, 3945, 3947, 3946, 3064, 3550, 3551, + 3273, 3566, 3874, 3873, 3348, 3121, 3591, 3592, 3590, + 3594, 3593, 3314, 4116, 4117, 4172}]}, "0.27`"], + Annotation[#, 0.27, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3063, 3872, 3271, 3561, 3563, 3562, 3249, 3843, + 3844, 3549, 3548, 3576, 3658, 3095, 3971, 3575, 3406, + 3450, 3998, 3449, 3120, 3902, 3311, 3901, 3312, 4144, + 4145, 4147, 4146, 3396, 4177}], + + LineBox[{3386, 3338, 3339, 3214, 3788, 3790, 3789, 3842, + 4062, 4044, 4045, 3928, 4047, 4046, 3112, 4139, 3309, + 3941, 3310, 3395, 3394, 4153, 4162}]}, "0.18`"], + Annotation[#, 0.18, "Tooltip"]& ], + TagBox[ + TooltipBox[{ + Directive[ + GrayLevel[0], + Opacity[0.5], + CapForm["Butt"]], + + LineBox[{3062, 3335, 3611, 3610, 3609, 3215, 3343, 3342, + 3119, 3585, 3307, 3584, 3308, 4143, 3586, 3304, 4115, + 4158}], + + LineBox[{3330, 3334, 3608, 3607, 3606, 3267, 3341, 3340, + 3111, 4105, 3305, 3940, 3306, 4106, 3303, 4163}]}, + "0.09`"], + Annotation[#, 0.09, "Tooltip"]& ], {}, {}}}], {}}, { + DisplayFunction -> Identity, DisplayFunction -> Identity, + Ticks -> {Automatic, Automatic}, AxesOrigin -> {0., 0.}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines -> {None, None}, AxesLabel -> { + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + FrameLabel -> {{None, None}, {None, None}}, DisplayFunction -> + Identity, AspectRatio -> 1, Axes -> True, AxesLabel -> { + FormBox[ + TagBox["x", HoldForm], TraditionalForm], + FormBox[ + TagBox["y", HoldForm], TraditionalForm]}, DisplayFunction :> + Identity, FrameLabel -> {{None, None}, {None, None}}, + FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, + GridLinesStyle -> Directive[ + GrayLevel[0.5, 0.4]], + Method -> { + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, + "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + PlotRangeClipping -> True, PlotRangePadding -> {{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, Ticks -> {Automatic, Automatic}}], + StyleBox[ + "\"\[PartialD]IMPLIES(x, y)\"", FontFamily -> "Helvetica", + StripOnInput -> False]}, + "Labeled", + DisplayFunction->(GridBox[{{ + TagBox[ + ItemBox[ + PaneBox[ + TagBox[#, "SkipImageSizeLevel"], + Alignment -> {Center, Baseline}, BaselinePosition -> + Baseline], DefaultBaseStyle -> "Labeled"], + "SkipImageSizeLevel"]}, { + ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}}, + GridBoxAlignment -> { + "Columns" -> {{Center}}, "Rows" -> {{Center}}}, AutoDelete -> + False, GridBoxItemSize -> { + "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, + BaselinePosition -> {1, 1}]& ), + InterpretationFunction->(RowBox[{"Labeled", "[", + RowBox[{#, ",", #2, ",", + RowBox[{"{", "}"}]}], "]"}]& )]} + }, + AutoDelete->False, + GridBoxDividers->{"Columns" -> { + GrayLevel[0.85], + GrayLevel[0.85], + GrayLevel[0.85], + GrayLevel[0.85], + GrayLevel[0.85]}, "Rows" -> {False, + GrayLevel[0.85]}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], + "Grid"]} + }, + AutoDelete->False, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], + "Grid"]], "Output", + CellChangeTimes->{3.887951255324614*^9, 3.887951825298805*^9, + 3.887953855065783*^9, 3.887967080889078*^9}, + CellLabel-> + "Out[735]=",ExpressionUUID->"9fa0f4d7-295f-46f5-ba72-ee0eb961aece"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"Export", "[", + RowBox[{ + "\"\\"", ",", "logicGates"}], "]"}]], "Input", + CellChangeTimes->{{3.887892560278453*^9, 3.8878925662444572`*^9}, { + 3.887967084346002*^9, 3.8879670873428392`*^9}}, + CellLabel-> + "In[737]:=",ExpressionUUID->"ee322603-0e21-4680-8326-d8847371a35b"], + +Cell[BoxData["\<\"/home/wright/coding/discrete-differentiable-networks/docs/\ +logic-gates.png\"\>"], "Output", + CellChangeTimes->{ + 3.887892567545732*^9, 3.8878926548807163`*^9, 3.887949873360951*^9, + 3.887950416727911*^9, 3.887951264859829*^9, 3.88795183191717*^9, + 3.887953858196857*^9, {3.887967085558621*^9, 3.8879670886597958`*^9}}, + CellLabel-> + "Out[737]=",ExpressionUUID->"e081bf19-2164-4c30-95bd-ef3945ad846a"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"PiecewiseExpand", "/@", + RowBox[{"{", + RowBox[{ + RowBox[{"Max", "[", + RowBox[{"y", ",", + RowBox[{"1", "-", "x"}]}], "]"}], ",", + RowBox[{"Min", "[", + RowBox[{"1", ",", + RowBox[{"1", "-", "x", "+", "y"}]}], "]"}]}], "}"}]}]], "Input", + CellChangeTimes->{{3.88795197568443*^9, 3.887952024768642*^9}}, + CellLabel-> + "In[670]:=",ExpressionUUID->"6117421c-1725-4a44-a308-4c6ee35079fa"], + +Cell[BoxData[ + RowBox[{"{", + RowBox[{ + TagBox[GridBox[{ + {"\[Piecewise]", GridBox[{ + { + RowBox[{"1", "-", "x"}], + RowBox[{ + RowBox[{"x", "+", "y"}], "\[LessEqual]", "1"}]}, + {"y", + TagBox["True", + "PiecewiseDefault", + AutoDelete->True]} + }, + AllowedDimensions->{2, Automatic}, + Editable->True, + GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{1.}}}, + GridBoxSpacings->{"Columns" -> { + Offset[0.27999999999999997`], { + Offset[0.84]}, + Offset[0.27999999999999997`]}, "Rows" -> { + Offset[0.2], { + Offset[0.4]}, + Offset[0.2]}}, + Selectable->True]} + }, + GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{1.}}}, + GridBoxSpacings->{"Columns" -> { + Offset[0.27999999999999997`], { + Offset[0.35]}, + Offset[0.27999999999999997`]}, "Rows" -> { + Offset[0.2], { + Offset[0.4]}, + Offset[0.2]}}], + "Piecewise", + DeleteWithContents->True, + Editable->False, + SelectWithContents->True, + Selectable->False, + StripWrapperBoxes->True], ",", + TagBox[GridBox[{ + {"\[Piecewise]", GridBox[{ + {"1", + RowBox[{ + RowBox[{"x", "-", "y"}], "\[LessEqual]", "0"}]}, + { + RowBox[{"1", "-", "x", "+", "y"}], + TagBox["True", + "PiecewiseDefault", + AutoDelete->True]} + }, + AllowedDimensions->{2, Automatic}, + Editable->True, + GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{1.}}}, + GridBoxSpacings->{"Columns" -> { + Offset[0.27999999999999997`], { + Offset[0.84]}, + Offset[0.27999999999999997`]}, "Rows" -> { + Offset[0.2], { + Offset[0.4]}, + Offset[0.2]}}, + Selectable->True]} + }, + GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Baseline}}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{1.}}}, + GridBoxSpacings->{"Columns" -> { + Offset[0.27999999999999997`], { + Offset[0.35]}, + Offset[0.27999999999999997`]}, "Rows" -> { + Offset[0.2], { + Offset[0.4]}, + Offset[0.2]}}], + "Piecewise", + DeleteWithContents->True, + Editable->False, + SelectWithContents->True, + Selectable->False, + StripWrapperBoxes->True]}], "}"}]], "Output", + CellChangeTimes->{{3.887952003204756*^9, 3.8879520252711554`*^9}}, + CellLabel-> + "Out[670]=",ExpressionUUID->"6d79502e-1b30-48ce-ae82-85f0106dedfe"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{ + RowBox[{"{", + RowBox[{ + RowBox[{"Max", "[", + RowBox[{"y", ",", + RowBox[{"1", "-", "x"}]}], "]"}], ",", + RowBox[{"Min", "[", + RowBox[{"1", ",", + RowBox[{"1", "-", "x", "+", "y"}]}], "]"}]}], "}"}], "/.", + RowBox[{"{", + RowBox[{ + RowBox[{"x", "->", "0.1"}], ",", + RowBox[{"y", "->", "0.3"}]}], "}"}]}]], "Input", + CellChangeTimes->{{3.887952078666482*^9, 3.887952115185266*^9}}, + CellLabel-> + "In[676]:=",ExpressionUUID->"0180a005-2b55-4374-98ff-72ffa5f3ea39"], + +Cell[BoxData[ + RowBox[{"{", + RowBox[{"0.9`", ",", "1"}], "}"}]], "Output", + CellChangeTimes->{{3.8879520866834183`*^9, 3.8879521157224607`*^9}}, CellLabel-> - "Out[192]=",ExpressionUUID->"352a3d30-ecff-43ef-8f95-40ccfbdfcb04"] + "Out[676]=",ExpressionUUID->"f39b3814-7e7d-4667-905d-452e2fc08221"] }, Open ]] }, Open ]], @@ -1590,8 +35856,7 @@ Cell[BoxData[ "]"}]}]], "Input", CellChangeTimes->{{3.8872633204317017`*^9, 3.887263353136869*^9}, { 3.887263500486972*^9, 3.887263508291638*^9}}, - CellLabel-> - "In[180]:=",ExpressionUUID->"437e01ba-cd55-49ca-a556-5d88d6fc10bb"], + CellLabel->"In[86]:=",ExpressionUUID->"437e01ba-cd55-49ca-a556-5d88d6fc10bb"], Cell[BoxData[ RowBox[{ @@ -1603,8 +35868,7 @@ Cell[BoxData[ RowBox[{"Length", "[", "x", "]"}], "-", "1"}], ")"}], "/", "2"}], "]"}]}]], "Input", CellChangeTimes->{{3.8872683865568953`*^9, 3.887268412416937*^9}}, - CellLabel-> - "In[182]:=",ExpressionUUID->"b7a31ca1-15c0-40a5-9f4e-43284320dd04"], + CellLabel->"In[87]:=",ExpressionUUID->"b7a31ca1-15c0-40a5-9f4e-43284320dd04"], Cell[CellGroupData[{ @@ -1625,36 +35889,16 @@ Cell[BoxData[ RowBox[{"1", ",", "2", ",", "3", ",", "4", ",", "5", ",", "6"}], "}"}]}], "}"}]}]], "Input", CellChangeTimes->{{3.887263712126041*^9, 3.887263761220574*^9}}, - CellLabel-> - "In[183]:=",ExpressionUUID->"4f3dcd3c-2373-40af-a787-50388713cf17"], + CellLabel->"In[88]:=",ExpressionUUID->"4f3dcd3c-2373-40af-a787-50388713cf17"], Cell[BoxData[ RowBox[{"{", RowBox[{"0", ",", "0", ",", "1", ",", "1", ",", "2", ",", "2"}], "}"}]], "Output", CellChangeTimes->{{3.8872637233346653`*^9, 3.887263761741906*^9}, { - 3.887268333016362*^9, 3.8872683416334677`*^9}, {3.887268391350646*^9, - 3.887268419990883*^9}}, - CellLabel-> - "Out[183]=",ExpressionUUID->"551d36b5-43c0-4045-b7ca-35a6cb83116b"] -}, Open ]], - -Cell[CellGroupData[{ - -Cell[BoxData[ - RowBox[{"Sort", "[", - RowBox[{"{", - RowBox[{"1", ",", "2", ",", "3", ",", "5"}], "}"}], "]"}]], "Input", - CellChangeTimes->{{3.887267759583805*^9, 3.887267762482505*^9}}, - CellLabel-> - "In[168]:=",ExpressionUUID->"80fc5ca8-3b53-446e-a235-1951e00e2cab"], - -Cell[BoxData[ - RowBox[{"{", - RowBox[{"1", ",", "2", ",", "3", ",", "5"}], "}"}]], "Output", - CellChangeTimes->{3.887267763123293*^9}, - CellLabel-> - "Out[168]=",ExpressionUUID->"07fa8963-9b09-4cd7-b8da-506c2f91581f"] + 3.887268333016362*^9, 3.8872683416334677`*^9}, {3.887268391350646*^9, + 3.887268419990883*^9}, 3.887868668676833*^9}, + CellLabel->"Out[88]=",ExpressionUUID->"e4057dd4-a9e2-4aaa-8ac6-b08504a7724c"] }, Open ]], Cell[BoxData[ @@ -1672,8 +35916,7 @@ Cell[BoxData[ CellChangeTimes->{{3.887263291499085*^9, 3.887263307407421*^9}, { 3.887263568197703*^9, 3.8872636169996157`*^9}, {3.8872638303811617`*^9, 3.887263830604273*^9}, {3.8872650075640163`*^9, 3.887265007823615*^9}}, - CellLabel-> - "In[161]:=",ExpressionUUID->"bb6986dd-8362-42aa-aad5-333d0c1082e6"], + CellLabel->"In[90]:=",ExpressionUUID->"bb6986dd-8362-42aa-aad5-333d0c1082e6"], Cell[CellGroupData[{ @@ -1699,8 +35942,7 @@ Cell[BoxData[ "}"}]}], "}"}]}]], "Input", CellChangeTimes->{{3.887263774830868*^9, 3.887263791340356*^9}, { 3.8872638399072237`*^9, 3.8872639323142357`*^9}}, - CellLabel-> - "In[162]:=",ExpressionUUID->"7db43080-9ab1-4290-93db-c9b56436514c"], + CellLabel->"In[91]:=",ExpressionUUID->"7db43080-9ab1-4290-93db-c9b56436514c"], Cell[BoxData[ RowBox[{"{", @@ -1708,45 +35950,53 @@ Cell[BoxData[ "}"}]], "Output", CellChangeTimes->{ 3.887263791743215*^9, {3.887263831841167*^9, 3.8872639027569838`*^9}, - 3.8872639329782333`*^9, 3.88726500914787*^9}, - CellLabel-> - "Out[162]=",ExpressionUUID->"1219545a-0fd2-4f64-8e11-aec76b2c5382"] + 3.8872639329782333`*^9, 3.88726500914787*^9, 3.887868674805337*^9}, + CellLabel->"Out[91]=",ExpressionUUID->"9044b04f-0dd0-464d-a640-547c7893b1b8"] }, Open ]], Cell[BoxData[ - RowBox[{ - RowBox[{"DMajority", "[", "x_List", "]"}], ":=", - RowBox[{"Module", "[", - RowBox[{ - RowBox[{"{", - RowBox[{ - RowBox[{"mbit", "=", - RowBox[{"MajorityBit", "[", "x", "]"}]}], ",", "margin", ",", "mean", - ",", "marginDelta"}], "}"}], ",", "\[IndentingNewLine]", + RowBox[{"(*", + RowBox[{ + RowBox[{"DMajority", "[", "x_List", "]"}], ":=", + RowBox[{"Module", "[", RowBox[{ - RowBox[{"margin", "=", - RowBox[{"Abs", "[", - RowBox[{"mbit", "-", - RowBox[{"1", "/", "2"}]}], "]"}]}], ";", "\[IndentingNewLine]", - RowBox[{"mean", "=", - RowBox[{"Mean", "[", "x", "]"}]}], ";", "\[IndentingNewLine]", - RowBox[{"marginDelta", "=", - RowBox[{"mean", "*", "margin"}]}], ";", "\[IndentingNewLine]", - RowBox[{"If", "[", + RowBox[{"{", RowBox[{ - RowBox[{"mbit", ">", - RowBox[{"1", "/", "2"}]}], ",", "\[IndentingNewLine]", - RowBox[{"Evaluate", "[", - RowBox[{ - RowBox[{"1", "/", "2"}], "+", "marginDelta"}], "]"}], ",", - "\[IndentingNewLine]", - RowBox[{"Evaluate", "[", - RowBox[{"mbit", "+", "marginDelta"}], "]"}]}], "]"}]}]}], - "\[IndentingNewLine]", "]"}]}]], "Input", + RowBox[{"mbit", "=", + RowBox[{"MajorityBit", "[", "x", "]"}]}], ",", "margin", ",", "mean", + ",", "marginDelta"}], "}"}], ",", "\[IndentingNewLine]", + RowBox[{ + RowBox[{"margin", "=", + RowBox[{"Abs", "[", + RowBox[{"mbit", "-", + RowBox[{"1", "/", "2"}]}], "]"}]}], ";", "\[IndentingNewLine]", + RowBox[{"mean", "=", + RowBox[{"Mean", "[", "x", "]"}]}], ";", "\[IndentingNewLine]", + RowBox[{"marginDelta", "=", + RowBox[{"mean", "*", "margin"}]}], ";", "\[IndentingNewLine]", + RowBox[{"If", "[", + RowBox[{ + RowBox[{"mbit", ">", + RowBox[{"1", "/", "2"}]}], ",", "\[IndentingNewLine]", + RowBox[{"Evaluate", "[", + RowBox[{ + RowBox[{"1", "/", "2"}], "+", "marginDelta"}], "]"}], ",", + "\[IndentingNewLine]", + RowBox[{"Evaluate", "[", + RowBox[{"mbit", "+", "marginDelta"}], "]"}]}], "]"}]}]}], + "\[IndentingNewLine]", "]"}]}], "*)"}]], "Input", CellChangeTimes->{{3.887264012586032*^9, 3.887264144155182*^9}, { - 3.887264987171956*^9, 3.887264993258794*^9}}, - CellLabel-> - "In[163]:=",ExpressionUUID->"bb6002fe-d7c3-4fb1-a29a-118c82683476"], + 3.887264987171956*^9, 3.887264993258794*^9}, {3.887868683277842*^9, + 3.887868746172838*^9}},ExpressionUUID->"bb6002fe-d7c3-4fb1-a29a-\ +118c82683476"], + +Cell[BoxData[ + RowBox[{ + RowBox[{"DMajority", "[", "x_List", "]"}], ":=", + RowBox[{"Margin", "[", + RowBox[{ + RowBox[{"MajorityBit", "[", "x", "]"}], ",", "x"}], "]"}]}]], "Input",Expr\ +essionUUID->"f35bb5a9-adef-4180-b999-b1afb70800d2"], Cell[CellGroupData[{ @@ -1757,13 +36007,27 @@ Cell[BoxData[ "]"}]], "Input", CellChangeTimes->{{3.887264965478478*^9, 3.8872649742423058`*^9}, { 3.887265019457057*^9, 3.887265023863069*^9}}, - CellLabel-> - "In[166]:=",ExpressionUUID->"e532dacd-01fb-468d-ae36-06efd08543a8"], + CellLabel->"In[98]:=",ExpressionUUID->"e532dacd-01fb-468d-ae36-06efd08543a8"], Cell[BoxData["0.51008`"], "Output", - CellChangeTimes->{{3.88726497464977*^9, 3.8872650241801023`*^9}}, - CellLabel-> - "Out[166]=",ExpressionUUID->"26be4b0b-d71f-48ec-bde9-4bc9d373bd70"] + CellChangeTimes->{{3.88726497464977*^9, 3.8872650241801023`*^9}, { + 3.887868715540106*^9, 3.8878687371080637`*^9}}, + CellLabel->"Out[98]=",ExpressionUUID->"89a8937a-f452-4dbb-97c6-f1d90d5bd7fb"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"DMajority", "[", + RowBox[{"{", + RowBox[{"0.1", ",", "0.55", ",", "0.8", ",", "0.9", ",", "0.52"}], "}"}], + "]"}]], "Input", + CellChangeTimes->{{3.887868726308729*^9, 3.887868727601872*^9}}, + CellLabel->"In[99]:=",ExpressionUUID->"f3e6d89f-052f-497d-8b0a-0ec2990e0a13"], + +Cell[BoxData["0.5287000000000001`"], "Output", + CellChangeTimes->{{3.887868728175655*^9, 3.8878687381511087`*^9}}, + CellLabel->"Out[99]=",ExpressionUUID->"11fde88c-3680-487f-8cc8-8ce3898463ec"] }, Open ]], Cell[CellGroupData[{ @@ -1774,8 +36038,7 @@ Cell[BoxData[ RowBox[{"x1", ",", "x2", ",", "x3", ",", "x4", ",", "x5"}], "}"}], "]"}]], "Input", CellChangeTimes->{{3.887265048868321*^9, 3.887265052056212*^9}}, - CellLabel-> - "In[167]:=",ExpressionUUID->"c241e109-42ef-4883-b6e8-1780ec6b05b4"], + CellLabel->"In[95]:=",ExpressionUUID->"c241e109-42ef-4883-b6e8-1780ec6b05b4"], Cell[BoxData[ RowBox[{"If", "[", @@ -1803,15 +36066,53 @@ Cell[BoxData[ RowBox[{ RowBox[{"-", FractionBox["1", "2"]}], "+", "x3"}], "]"}]}]}]}], "]"}]], "Output", - CellChangeTimes->{3.887265052362452*^9}, + CellChangeTimes->{3.887265052362452*^9, 3.8878687186625853`*^9}, + CellLabel->"Out[95]=",ExpressionUUID->"50eb511a-9847-42a4-8494-fee60ba8c6be"] +}, Open ]] +}, Open ]], + +Cell[CellGroupData[{ + +Cell["dCOUNT", "Section", + CellChangeTimes->{{3.887192854921034*^9, 3.8871928636330957`*^9}, { + 3.887254238166834*^9, 3.887254238242547*^9}, {3.8872598693639402`*^9, + 3.887259872590295*^9}, {3.887263277998085*^9, 3.8872632802275457`*^9}, { + 3.887797653641011*^9, + 3.887797655569121*^9}},ExpressionUUID->"879d6753-9dbc-4031-a5f7-\ +18742ca43f86"], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"BooleanCountingFunction", "[", + RowBox[{ + RowBox[{"{", "2", "}"}], ",", + RowBox[{"{", + RowBox[{"x1", ",", "x2", ",", "x3"}], "}"}]}], "]"}]], "Input", + CellChangeTimes->{{3.8877976580321503`*^9, 3.887797676833851*^9}}, + CellLabel-> + "In[420]:=",ExpressionUUID->"c95211e6-c360-4289-bcdc-e287e518df22"], + +Cell[BoxData[ + RowBox[{ + RowBox[{"(", + RowBox[{"x1", "&&", "x2", "&&", + RowBox[{"!", "x3"}]}], ")"}], "||", + RowBox[{"(", + RowBox[{"x1", "&&", + RowBox[{"!", "x2"}], "&&", "x3"}], ")"}], "||", + RowBox[{"(", + RowBox[{ + RowBox[{"!", "x1"}], "&&", "x2", "&&", "x3"}], ")"}]}]], "Output", + CellChangeTimes->{{3.8877976729276743`*^9, 3.887797677181754*^9}}, CellLabel-> - "Out[167]=",ExpressionUUID->"9d5cd618-5b1e-4357-81e0-d341c675c4b7"] + "Out[420]=",ExpressionUUID->"9ad462b9-141f-41b0-b6e2-46866aebb70f"] }, Open ]] }, Open ]] }, Open ]] }, WindowSize->{1440., 782.25}, -WindowMargins->{{1440, Automatic}, {Automatic, 0}}, +WindowMargins->{{1440, Automatic}, {0, Automatic}}, TaggingRules-><|"TryRealOnly" -> False|>, FrontEndVersion->"13.2 for Linux x86 (64-bit) (December 7, 2022)", StyleDefinitions->Notebook[{ @@ -1840,83 +36141,216 @@ Cell[1824, 50, 200, 3, 29, "Input",ExpressionUUID->"00377942-043f-45eb-aea5-de4b Cell[2027, 55, 38756, 890, 423, "Output",ExpressionUUID->"ca726769-b346-48ac-904e-96315b43c747"] }, Open ]], Cell[40798, 948, 340, 8, 29, "Input",ExpressionUUID->"3dc483cd-1a21-474e-9d9b-7f59d47cd801"], +Cell[41141, 958, 1009, 28, 96, "Input",ExpressionUUID->"00969fc8-d260-4432-b721-60900870f536"], +Cell[42153, 988, 1451, 41, 144, "Input",ExpressionUUID->"1bc617eb-3d0f-4c0d-9a41-c8eeca827c4c"], Cell[CellGroupData[{ -Cell[41163, 960, 148, 3, 67, "Section",ExpressionUUID->"8e390d9c-f567-494b-a0d0-1efd7c157c99"], -Cell[41314, 965, 406, 11, 33, "Input",ExpressionUUID->"ab21144c-98ed-4bc9-b1fc-e6eab0263ec0"], +Cell[43629, 1033, 148, 3, 67, "Section",ExpressionUUID->"8e390d9c-f567-494b-a0d0-1efd7c157c99"], +Cell[43780, 1038, 459, 12, 33, "Input",ExpressionUUID->"ab21144c-98ed-4bc9-b1fc-e6eab0263ec0"], Cell[CellGroupData[{ -Cell[41745, 980, 588, 15, 29, "Input",ExpressionUUID->"22aa237a-dbaa-423d-85b5-5b4ff6635216"], -Cell[42336, 997, 364, 6, 33, "Output",ExpressionUUID->"985b9733-2377-4dc4-b8ec-fbf20ee628dc"] +Cell[44264, 1054, 644, 15, 29, "Input",ExpressionUUID->"22aa237a-dbaa-423d-85b5-5b4ff6635216"], +Cell[44911, 1071, 414, 7, 33, "Output",ExpressionUUID->"be63e0b1-7fe6-4099-958b-5efd9355ed6e"] }, Open ]], Cell[CellGroupData[{ -Cell[42737, 1008, 475, 11, 29, "Input",ExpressionUUID->"6cf6b364-7822-4eca-9285-0f72ca4f85c9"], -Cell[43215, 1021, 1931, 59, 145, "Output",ExpressionUUID->"0c07cb5a-ddd8-4701-9402-b05fb6aefeeb"] +Cell[45362, 1083, 560, 15, 29, "Input",ExpressionUUID->"f01b4f46-d86e-4f68-99cc-9e0f911a099c"], +Cell[45925, 1100, 270, 6, 33, "Output",ExpressionUUID->"9ed905e3-3f37-43ee-9c06-24bd009c89aa"] +}, Open ]], +Cell[CellGroupData[{ +Cell[46232, 1111, 475, 11, 29, "Input",ExpressionUUID->"6cf6b364-7822-4eca-9285-0f72ca4f85c9"], +Cell[46710, 1124, 1931, 59, 145, "Output",ExpressionUUID->"0c07cb5a-ddd8-4701-9402-b05fb6aefeeb"] +}, Open ]], +Cell[CellGroupData[{ +Cell[48678, 1188, 302, 8, 29, "Input",ExpressionUUID->"f30720a6-0e3d-43a8-8805-2ffada363909"], +Cell[48983, 1198, 335, 10, 33, "Output",ExpressionUUID->"e384aa49-480b-491b-8238-5de0822235fa"] +}, Open ]], +Cell[CellGroupData[{ +Cell[49355, 1213, 874, 25, 29, "Input",ExpressionUUID->"bea7393f-0f03-4597-b426-89412b3abee9"], +Cell[50232, 1240, 1766, 36, 338, "Output",ExpressionUUID->"2070fd3c-a0ab-47ce-9ca3-eec10a7de91d"] +}, Open ]], +Cell[CellGroupData[{ +Cell[52035, 1281, 1635, 46, 51, "Input",ExpressionUUID->"d5ef5e94-9a60-4ee3-b7b0-a3e44ec0aebd"], +Cell[53673, 1329, 6402, 128, 239, "Output",ExpressionUUID->"7647a8db-5277-473a-8fd0-989af6e00104"] +}, Open ]], +Cell[CellGroupData[{ +Cell[60112, 1462, 967, 28, 29, "Input",ExpressionUUID->"27554494-5d2f-40cb-a3ee-c1049254622d"], +Cell[61082, 1492, 151635, 2472, 186, "Output",ExpressionUUID->"d436f95d-f3bb-427e-bd89-741f2e39662a"] +}, Open ]], +Cell[CellGroupData[{ +Cell[212754, 3969, 4882, 119, 200, "Input",ExpressionUUID->"4090d351-b333-4716-9ccb-32b913b90e5c"], +Cell[217639, 4090, 229338, 3963, 244, "Output",ExpressionUUID->"3e0e7be6-f942-4856-9482-954888c9561c"] +}, Open ]], +Cell[CellGroupData[{ +Cell[447014, 8058, 369, 8, 29, "Input",ExpressionUUID->"805f0b64-9f8a-41f4-a1f1-4af571d9de84"], +Cell[447386, 8068, 232, 4, 33, "Output",ExpressionUUID->"99b91004-b5a8-47ca-bbf3-1b6e5cc21b95"] +}, Open ]] +}, Open ]], +Cell[CellGroupData[{ +Cell[447667, 8078, 150, 3, 67, "Section",ExpressionUUID->"aae9c8ca-0191-436f-9977-a00ef17060bc"], +Cell[447820, 8083, 1349, 39, 190, "Input",ExpressionUUID->"22895057-e1d1-41c2-80b2-57dde1a50fb5"], +Cell[CellGroupData[{ +Cell[449194, 8126, 562, 14, 29, "Input",ExpressionUUID->"b708a848-d1c8-47b2-9c1a-473efc8630eb"], +Cell[449759, 8142, 408, 9, 47, "Output",ExpressionUUID->"3e5a61ba-1080-4c8c-9a48-e8501a161912"] +}, Open ]], +Cell[CellGroupData[{ +Cell[450204, 8156, 537, 11, 29, "Input",ExpressionUUID->"caccb912-10d2-4737-85cf-ff531c529c38"], +Cell[450744, 8169, 1932, 59, 145, "Output",ExpressionUUID->"e52c61e5-e997-46d2-9261-1d88979553d4"] +}, Open ]] +}, Open ]], +Cell[CellGroupData[{ +Cell[452725, 8234, 201, 4, 67, "Section",ExpressionUUID->"9d001fa3-9a05-45a7-9d23-42ce6167be0c"], +Cell[452929, 8240, 1675, 42, 116, "Input",ExpressionUUID->"63b0927e-1423-4230-8354-74ec73664aa1"], +Cell[CellGroupData[{ +Cell[454629, 8286, 575, 17, 29, "Input",ExpressionUUID->"01420a54-12d3-4669-a976-7589d241d8d7"], +Cell[455207, 8305, 572, 11, 47, "Output",ExpressionUUID->"9003b7f2-c593-4fd0-a920-439d2c506529"] +}, Open ]], +Cell[CellGroupData[{ +Cell[455816, 8321, 615, 17, 29, "Input",ExpressionUUID->"f8143155-353b-42cd-b265-1cbe4d8bf3ff"], +Cell[456434, 8340, 498, 11, 48, "Output",ExpressionUUID->"9b9c5e67-a5fa-4b59-96bb-a5796a8e2987"] +}, Open ]], +Cell[CellGroupData[{ +Cell[456969, 8356, 613, 17, 29, "Input",ExpressionUUID->"70f15975-4515-4d40-b737-1d640abed03f"], +Cell[457585, 8375, 476, 11, 48, "Output",ExpressionUUID->"fe0751d6-4de1-4baa-ad59-640ae45b7ece"] +}, Open ]], +Cell[CellGroupData[{ +Cell[458098, 8391, 722, 17, 29, "Input",ExpressionUUID->"d4341366-564d-4f31-a0d3-1dfbd999a622"], +Cell[458823, 8410, 4680, 135, 171, "Output",ExpressionUUID->"eeacde09-4fb5-4eca-b87e-e7c3adaf8d5d"] +}, Open ]], +Cell[CellGroupData[{ +Cell[463540, 8550, 642, 15, 29, "Input",ExpressionUUID->"472cbbf1-5926-42c7-9ef0-26d1f1f7d1b6"], +Cell[464185, 8567, 3808, 108, 119, "Output",ExpressionUUID->"46a0ed84-c476-4773-b9a3-798a581ae124"] +}, Open ]], +Cell[468008, 8678, 341, 5, 35, "Text",ExpressionUUID->"010aa824-de6f-449b-900b-f1dca5d05adb"], +Cell[CellGroupData[{ +Cell[468374, 8687, 700, 20, 29, "Input",ExpressionUUID->"26f47126-a4c5-4787-a11d-9dd432fdb3ef"], +Cell[469077, 8709, 308, 5, 33, "Output",ExpressionUUID->"fc54d27d-718c-4ecd-ab42-ec04fd741014"] +}, Open ]], +Cell[CellGroupData[{ +Cell[469422, 8719, 1119, 31, 29, "Input",ExpressionUUID->"18072b24-b2f9-4bfb-9ea8-b1301ef21e23"], +Cell[470544, 8752, 1998, 39, 338, "Output",ExpressionUUID->"393d52a1-31a4-45ac-8fa1-71fcc92ba871"] +}, Open ]], +Cell[CellGroupData[{ +Cell[472579, 8796, 2740, 71, 115, "Input",ExpressionUUID->"fa1bbf4c-38c7-4a93-bdfd-d8759f5fc390"], +Cell[475322, 8869, 210642, 3647, 244, "Output",ExpressionUUID->"d4e0e698-53bf-4766-b273-880fd78e75ff"] +}, Open ]], +Cell[CellGroupData[{ +Cell[686001, 12521, 321, 7, 29, "Input",ExpressionUUID->"ea7e77b3-102b-4f2c-bf63-5243a1e3563e"], +Cell[686325, 12530, 232, 4, 33, "Output",ExpressionUUID->"6df01414-c808-42b2-862c-d784b61b909d"] }, Open ]] }, Open ]], Cell[CellGroupData[{ -Cell[45195, 1086, 150, 3, 67, "Section",ExpressionUUID->"aae9c8ca-0191-436f-9977-a00ef17060bc"], -Cell[45348, 1091, 1148, 34, 190, "Input",ExpressionUUID->"22895057-e1d1-41c2-80b2-57dde1a50fb5"], +Cell[686606, 12540, 198, 4, 67, "Section",ExpressionUUID->"ecbfc1dc-1226-4fd6-8ae9-3eb4d7046417"], +Cell[686807, 12546, 1304, 38, 190, "Input",ExpressionUUID->"9acf8a22-c3d5-4f2b-b139-26e62cb20ce9"], Cell[CellGroupData[{ -Cell[46521, 1129, 503, 13, 29, "Input",ExpressionUUID->"b708a848-d1c8-47b2-9c1a-473efc8630eb"], -Cell[47027, 1144, 359, 8, 47, "Output",ExpressionUUID->"9f41507b-8e7a-4e66-af45-502bc5a07228"] +Cell[688136, 12588, 457, 12, 29, "Input",ExpressionUUID->"cf8760a2-f1e4-4f71-aafa-9ae1073d0041"], +Cell[688596, 12602, 337, 8, 48, "Output",ExpressionUUID->"f9834aec-fdd4-4450-8f93-a6721003e5ba"] }, Open ]], Cell[CellGroupData[{ -Cell[47423, 1157, 387, 9, 29, "Input",ExpressionUUID->"caccb912-10d2-4737-85cf-ff531c529c38"], -Cell[47813, 1168, 1807, 56, 145, "Output",ExpressionUUID->"f524cecd-3a83-4987-939b-5c239090e61e"] +Cell[688970, 12615, 386, 9, 29, "Input",ExpressionUUID->"eeedfba2-7110-4292-8326-a30cc8db93a7"], +Cell[689359, 12626, 1859, 58, 145, "Output",ExpressionUUID->"fb084e5c-4c14-4eeb-86cf-fb7e19c7f64d"] }, Open ]] }, Open ]], Cell[CellGroupData[{ -Cell[49669, 1230, 198, 4, 67, "Section",ExpressionUUID->"ecbfc1dc-1226-4fd6-8ae9-3eb4d7046417"], -Cell[49870, 1236, 1156, 35, 190, "Input",ExpressionUUID->"9acf8a22-c3d5-4f2b-b139-26e62cb20ce9"], +Cell[691267, 12690, 247, 4, 67, "Section",ExpressionUUID->"f6f41491-9ba0-4ac4-9212-66ffb62e74c2"], +Cell[691517, 12696, 1499, 40, 116, "Input",ExpressionUUID->"7e80ece4-73c0-48c2-aead-66a01af51155"], +Cell[CellGroupData[{ +Cell[693041, 12740, 618, 17, 29, "Input",ExpressionUUID->"06b1f54c-39c2-45af-9119-086937f3ff22"], +Cell[693662, 12759, 355, 7, 48, "Output",ExpressionUUID->"6d4584eb-85c3-475d-b249-976b7184a2dc"] +}, Open ]], +Cell[CellGroupData[{ +Cell[694054, 12771, 656, 17, 29, "Input",ExpressionUUID->"bbbcf283-feeb-4018-be79-956830d340bd"], +Cell[694713, 12790, 379, 9, 49, "Output",ExpressionUUID->"e6d7d0cc-0538-465d-afa3-325a7ea9d664"] +}, Open ]], +Cell[CellGroupData[{ +Cell[695129, 12804, 654, 17, 29, "Input",ExpressionUUID->"71f37cfa-981b-40e5-a0d8-fa74a7eec67a"], +Cell[695786, 12823, 354, 8, 49, "Output",ExpressionUUID->"1bb20ed2-55c8-4373-915f-76acf184d84a"] +}, Open ]], +Cell[CellGroupData[{ +Cell[696177, 12836, 433, 10, 29, "Input",ExpressionUUID->"ee399cf7-6108-4634-8c8a-57cecc449dca"], +Cell[696613, 12848, 3917, 117, 145, "Output",ExpressionUUID->"9323c79e-d618-4f67-94d6-c8574f2b049b"] +}, Open ]], +Cell[CellGroupData[{ +Cell[700567, 12970, 355, 8, 29, "Input",ExpressionUUID->"fdaf3a05-03b7-4f3d-93ab-0ab35ed7d368"], +Cell[700925, 12980, 3335, 99, 119, "Output",ExpressionUUID->"46acf535-5b79-46d7-b12d-60f829e69e5f"] +}, Open ]], +Cell[704275, 13082, 245, 4, 35, "Text",ExpressionUUID->"4cd6585f-4582-4207-97b3-fd61d0222d49"], Cell[CellGroupData[{ -Cell[51051, 1275, 391, 12, 29, "Input",ExpressionUUID->"cf8760a2-f1e4-4f71-aafa-9ae1073d0041"], -Cell[51445, 1289, 286, 7, 48, "Output",ExpressionUUID->"7856c7c3-f906-4659-af9f-7a44e2873a41"] +Cell[704545, 13090, 1064, 30, 29, "Input",ExpressionUUID->"0fed3588-9948-4295-8866-b6cc4c9afeac"], +Cell[705612, 13122, 1851, 36, 338, "Output",ExpressionUUID->"ef95a981-1be9-4bf0-8a03-30d7e9a378a0"] }, Open ]], Cell[CellGroupData[{ -Cell[51768, 1301, 390, 10, 29, "Input",ExpressionUUID->"eeedfba2-7110-4292-8326-a30cc8db93a7"], -Cell[52161, 1313, 1809, 57, 145, "Output",ExpressionUUID->"57c373cb-5d01-42e4-a9aa-9a8f2bd4c3ac"] +Cell[707500, 13163, 2654, 68, 117, "Input",ExpressionUUID->"369ed30d-1130-482c-8a48-d10d19130428"], +Cell[710157, 13233, 205876, 3581, 226, "Output",ExpressionUUID->"31a00c43-326a-4880-8e1b-72ee0dfa92ed"] }, Open ]] }, Open ]], Cell[CellGroupData[{ -Cell[54019, 1376, 301, 5, 67, "Section",ExpressionUUID->"08d7ae6b-0058-465e-9ea0-e74ff879f4c9"], -Cell[54323, 1383, 334, 9, 29, "Input",ExpressionUUID->"1e450851-7f18-4882-80dc-72864ff1825b"], +Cell[916082, 16820, 301, 5, 67, "Section",ExpressionUUID->"08d7ae6b-0058-465e-9ea0-e74ff879f4c9"], +Cell[916386, 16827, 413, 11, 29, "Input",ExpressionUUID->"1e450851-7f18-4882-80dc-72864ff1825b"], +Cell[916802, 16840, 349, 9, 29, "Input",ExpressionUUID->"feed4e75-024e-498d-9b6a-b3dc2b4b8324"], +Cell[CellGroupData[{ +Cell[917176, 16853, 456, 13, 29, "Input",ExpressionUUID->"95b224d9-5f9f-4624-90e0-7346d96f9785"], +Cell[917635, 16868, 363, 9, 48, "Output",ExpressionUUID->"115f6b57-d08d-4506-ba81-4327af00c4e5"] +}, Open ]], +Cell[CellGroupData[{ +Cell[918035, 16882, 395, 10, 29, "Input",ExpressionUUID->"c81dbb03-8f38-4b82-b876-02b9784aedad"], +Cell[918433, 16894, 1869, 58, 145, "Output",ExpressionUUID->"81c62b9d-f44f-4932-b262-32b066c47509"] +}, Open ]], +Cell[CellGroupData[{ +Cell[920339, 16957, 422, 11, 29, "Input",ExpressionUUID->"46317eaf-a9d8-46b1-8125-7624a334afb9"], +Cell[920764, 16970, 1831, 58, 145, "Output",ExpressionUUID->"5a4852db-99b5-478f-8fab-ac3a4e740c23"] +}, Open ]], +Cell[CellGroupData[{ +Cell[922632, 17033, 2710, 71, 138, "Input",ExpressionUUID->"9c3d75a5-6f6b-428a-ab36-b4310252f443"], +Cell[925345, 17106, 195732, 3406, 226, "Output",ExpressionUUID->"c3b91e04-bb87-4fb0-857d-3c7cdc7e99d0"] +}, Open ]], +Cell[CellGroupData[{ +Cell[1121114, 20517, 1930, 47, 92, "Input",ExpressionUUID->"fd14bacd-dcf1-4542-8962-7b9ff7627e9f"], +Cell[1123047, 20566, 871153, 15117, 461, "Output",ExpressionUUID->"9fa0f4d7-295f-46f5-ba72-ee0eb961aece"] +}, Open ]], Cell[CellGroupData[{ -Cell[54682, 1396, 456, 13, 29, "Input",ExpressionUUID->"95b224d9-5f9f-4624-90e0-7346d96f9785"], -Cell[55141, 1411, 286, 7, 48, "Output",ExpressionUUID->"4a9d6c7f-750f-4ebf-9a65-982a9fe34c6c"] +Cell[1994237, 35688, 378, 8, 29, "Input",ExpressionUUID->"ee322603-0e21-4680-8326-d8847371a35b"], +Cell[1994618, 35698, 427, 7, 33, "Output",ExpressionUUID->"e081bf19-2164-4c30-95bd-ef3945ad846a"] }, Open ]], Cell[CellGroupData[{ -Cell[55464, 1423, 395, 10, 29, "Input",ExpressionUUID->"c81dbb03-8f38-4b82-b876-02b9784aedad"], -Cell[55862, 1435, 1847, 58, 145, "Output",ExpressionUUID->"6a86ef6b-5e4e-4dd1-ada2-c7ba42490a51"] +Cell[1995082, 35710, 439, 12, 29, "Input",ExpressionUUID->"6117421c-1725-4a44-a308-4c6ee35079fa"], +Cell[1995524, 35724, 2860, 83, 51, "Output",ExpressionUUID->"6d79502e-1b30-48ce-ae82-85f0106dedfe"] }, Open ]], Cell[CellGroupData[{ -Cell[57746, 1498, 422, 11, 29, "Input",ExpressionUUID->"46317eaf-a9d8-46b1-8125-7624a334afb9"], -Cell[58171, 1511, 1807, 58, 145, "Output",ExpressionUUID->"352a3d30-ecff-43ef-8f95-40ccfbdfcb04"] +Cell[1998421, 35812, 529, 16, 29, "Input",ExpressionUUID->"0180a005-2b55-4374-98ff-72ffa5f3ea39"], +Cell[1998953, 35830, 229, 5, 33, "Output",ExpressionUUID->"f39b3814-7e7d-4667-905d-452e2fc08221"] }, Open ]] }, Open ]], Cell[CellGroupData[{ -Cell[60027, 1575, 304, 5, 67, "Section",ExpressionUUID->"a2621df0-19eb-4035-9863-1066a5a6bf87"], -Cell[60334, 1582, 419, 11, 29, "Input",ExpressionUUID->"437e01ba-cd55-49ca-a556-5d88d6fc10bb"], -Cell[60756, 1595, 394, 11, 29, "Input",ExpressionUUID->"b7a31ca1-15c0-40a5-9f4e-43284320dd04"], +Cell[1999231, 35841, 304, 5, 67, "Section",ExpressionUUID->"a2621df0-19eb-4035-9863-1066a5a6bf87"], +Cell[1999538, 35848, 415, 10, 29, "Input",ExpressionUUID->"437e01ba-cd55-49ca-a556-5d88d6fc10bb"], +Cell[1999956, 35860, 390, 10, 29, "Input",ExpressionUUID->"b7a31ca1-15c0-40a5-9f4e-43284320dd04"], Cell[CellGroupData[{ -Cell[61175, 1610, 682, 18, 29, "Input",ExpressionUUID->"4f3dcd3c-2373-40af-a787-50388713cf17"], -Cell[61860, 1630, 367, 8, 33, "Output",ExpressionUUID->"551d36b5-43c0-4045-b7ca-35a6cb83116b"] +Cell[2000371, 35874, 678, 17, 29, "Input",ExpressionUUID->"4f3dcd3c-2373-40af-a787-50388713cf17"], +Cell[2001052, 35893, 387, 7, 33, "Output",ExpressionUUID->"e4057dd4-a9e2-4aaa-8ac6-b08504a7724c"] }, Open ]], +Cell[2001454, 35903, 633, 15, 29, "Input",ExpressionUUID->"bb6986dd-8362-42aa-aad5-333d0c1082e6"], Cell[CellGroupData[{ -Cell[62264, 1643, 273, 6, 29, "Input",ExpressionUUID->"80fc5ca8-3b53-446e-a235-1951e00e2cab"], -Cell[62540, 1651, 218, 5, 33, "Output",ExpressionUUID->"07fa8963-9b09-4cd7-b8da-506c2f91581f"] +Cell[2002112, 35922, 853, 22, 29, "Input",ExpressionUUID->"7db43080-9ab1-4290-93db-c9b56436514c"], +Cell[2002968, 35946, 369, 7, 33, "Output",ExpressionUUID->"9044b04f-0dd0-464d-a640-547c7893b1b8"] }, Open ]], -Cell[62773, 1659, 637, 16, 29, "Input",ExpressionUUID->"bb6986dd-8362-42aa-aad5-333d0c1082e6"], +Cell[2003352, 35956, 1389, 34, 174, "Input",ExpressionUUID->"bb6002fe-d7c3-4fb1-a29a-118c82683476"], +Cell[2004744, 35992, 245, 6, 29, "Input",ExpressionUUID->"f35bb5a9-adef-4180-b999-b1afb70800d2"], Cell[CellGroupData[{ -Cell[63435, 1679, 857, 23, 29, "Input",ExpressionUUID->"7db43080-9ab1-4290-93db-c9b56436514c"], -Cell[64295, 1704, 351, 8, 33, "Output",ExpressionUUID->"1219545a-0fd2-4f64-8e11-aec76b2c5382"] +Cell[2005014, 36002, 349, 7, 29, "Input",ExpressionUUID->"e532dacd-01fb-468d-ae36-06efd08543a8"], +Cell[2005366, 36011, 232, 3, 33, "Output",ExpressionUUID->"89a8937a-f452-4dbb-97c6-f1d90d5bd7fb"] }, Open ]], -Cell[64661, 1715, 1313, 33, 174, "Input",ExpressionUUID->"bb6002fe-d7c3-4fb1-a29a-118c82683476"], Cell[CellGroupData[{ -Cell[65999, 1752, 353, 8, 29, "Input",ExpressionUUID->"e532dacd-01fb-468d-ae36-06efd08543a8"], -Cell[66355, 1762, 185, 3, 33, "Output",ExpressionUUID->"26be4b0b-d71f-48ec-bde9-4bc9d373bd70"] +Cell[2005635, 36019, 299, 6, 29, "Input",ExpressionUUID->"f3e6d89f-052f-497d-8b0a-0ec2990e0a13"], +Cell[2005937, 36027, 193, 2, 33, "Output",ExpressionUUID->"11fde88c-3680-487f-8cc8-8ce3898463ec"] }, Open ]], Cell[CellGroupData[{ -Cell[66577, 1770, 296, 7, 29, "Input",ExpressionUUID->"c241e109-42ef-4883-b6e8-1780ec6b05b4"], -Cell[66876, 1779, 862, 28, 48, "Output",ExpressionUUID->"9d5cd618-5b1e-4357-81e0-d341c675c4b7"] +Cell[2006167, 36034, 292, 6, 29, "Input",ExpressionUUID->"c241e109-42ef-4883-b6e8-1780ec6b05b4"], +Cell[2006462, 36042, 882, 27, 48, "Output",ExpressionUUID->"50eb511a-9847-42a4-8494-fee60ba8c6be"] +}, Open ]] +}, Open ]], +Cell[CellGroupData[{ +Cell[2007393, 36075, 350, 6, 67, "Section",ExpressionUUID->"879d6753-9dbc-4031-a5f7-18742ca43f86"], +Cell[CellGroupData[{ +Cell[2007768, 36085, 336, 8, 29, "Input",ExpressionUUID->"c95211e6-c360-4289-bcdc-e287e518df22"], +Cell[2008107, 36095, 459, 13, 33, "Output",ExpressionUUID->"9ad462b9-141f-41b0-b6e2-46866aebb70f"] }, Open ]] }, Open ]] }, Open ]] From 4564748a20579e68592ffa262c5314356a3929bd Mon Sep 17 00:00:00 2001 From: Ian Wright Date: Fri, 17 Mar 2023 12:09:56 +0000 Subject: [PATCH 059/128] more --- docs/db-net.png | Bin 28719 -> 34252 bytes docs/db.tex | 43 +++++++--- docs/proofs.nb | 223 +++++++++++++++++++++++++++++++++--------------- 3 files changed, 185 insertions(+), 81 deletions(-) diff --git a/docs/db-net.png b/docs/db-net.png index 2256dba6fce4bcfba1c913ee774ce733700c7651..234a52383c8c48098f72265a39da058da0904291 100644 GIT binary patch literal 34252 zcmeFYXH-+$_cj_43nGG`!aPw#mB;LxnK_nvF6xn_Chv*33Owb_pG z9)mz2Y&y5K?m{33KSLl)r;Z*5zu-^YJOhC|hUjQ%mAJ_}qirh5Atm9VUrd(SJVB%{z7T6ah!TNo``eBiA1q1bvo6(bvNV zBB=Lh_wtq8m;DD6Y3mWV2x(W&Hq(@?r2m}$ATvOLn$PRPs|Da z2-%TyZ!+8_>i3M4$t6v$Pmi!?$Upe@I{EEeCFTw{Yj0fjr`k%|4>q^k%hn4YP7dQIpWi>M^)eY ze!A!gTa3J4AsxrW7*kmssj^pc?c!5M-;i7Ve31Q_wNK6L$o?i{yC5rxiHTvkElGD& z!*^F(9b(T&)^9dgFh(Bdo1?7M=^K4U5q41?Q^d^36P|?Pz1V-fHeomI82)9wCSC6k zWA=sZ?Ndd6gvabB|9cE)dagx=S?=gYdyjt@B-V~ zz-y0Yz74(+k6+4EacF$@aH<);U#y$7eTg9r1Tjf8Nm?px6)1<3%beTE)Xj-V!N8?a zMVnH`sIfqnl>}iuuXyy-D~0ir_z}NW{>A!xuY97*OIT$s`MVySK}jR`rpK>?Oa5fAQ7FN-Nn0>nwl?zDkKD-<%H;d@gq;PnZ@jJ9 z`Wp&w-SR1hpm$C%6i;G_*qV%K0v6UKQlS}rymVGV?{Vc;e+#$0*XEdix2hs7%(s3! z4^_22mm1?ef??}cS?^d$^Y1E+L>vj3Y>XPhHqiH$n|}QGQKA`hVp2HShI1T9=`c|r zzBrw4nC`LQb`%qrbw#*!x;36%oklJv%ZR_V)7)kKZAyvV-TC6_b2}cr61aC~B&`NB z@UP^DFRJ|d^p+fv3<)CjfA3-o>@9QFQw|zrOR_ti45{*+P}|*I?=GK}ZrCl86jTau z!|3B0QC5}5CL-y3UPIt#PJytMFAh!7Y)$d%`-AUfn0Xm%F5(7jHeH|VEZ2M=x-sv- zUGu0*Y2i|BV_7wGFm17_O7oR%!1DOmJI{;jTt+Hy!o5Oln8K#uqC2%-cSC>vb!50< zB7){^?c4nPq#f$AO@-T=v7mOzszGng`;7M&*zJZD{U{Kv)Ojm{soGpXH*^iiBZ=ujJGEst zOi0D1`e3HrZ|CC&VSBXAs_&0NO7DMRvQB2^VF>wK39{OJe$UdIz?vuK5&MF5YEhMn&eqnZ(SuQgkH7dUM&;D%)?TkgTDU9BKTh(WzJ|&ri!-jWwFBT~T233{ti zYzT!Wt>Z^5HFMOrem-T`-?&AW!f)SoF*(!7jF+-20PQ!H`ir${&@q<0JA6&}+x`>N z7sa-<(MR|mUUxj<7m|2?K?d7eVkB`#Flf|I(V1O!<2BB;B-ERYSN3SUDs_-t_duHk znse)w7ynpOwfF<$=$na_!z;6d7@c? z$i`Tu2cD!%5B;tEV5NZhmEAN&|J}M{_-FOC8LFZCV|2UU;$=j$ofW|CQAg-MMa>HY z0ztf6d98V(=G(u&d4gaM zw*VoEz70Ic(9pkv9ipe)wc7w2xVU4)R+z3D8n^}GCry#N=zTp`xWZ1H{6yHgZ)?2Z z1c5H_TcXn@h)DWAH+5-@hC9Kpw9BKlnJj#llV3S-x6mk4Et5@9Z8y)tE+p5Ev2Msk zCF>77?v8)KBR>QWH9z1AO?6A(Mq?}-r`{p00s8>{x!zu3_ zro6cXQ>vSqIk*;*%ox5MB1G?xMU2}}NJT*wxH{6J85#|XWG#$^PaAZ|ufpL~`ubP> zKEdTnVZUFDEd8o6q+;7Sfd_vP@pX2c%P8H{57#=IHAU*>S5x2!1F~{4L;P z59DhJISUI(13nkWBDjJ+P z_M;p_1X<#mNs{L1Qds=&y-fOu1@qJ0GfL)IJ;zJbd^^t%ggJIf4D32G)^|Olzd0!d zA%PM?C4H*Qt}uT$u$h&VS26B)|6Fy4&SmRXw?;^IyzSXeI5qA~Y+y3H&zKBMG5=;AijBt+7w zyY!s1*!5|F_Q|C9q!iD%JQ1pbUnQKNALc!Ejw}De;3ac*Peb*~b&K5QWugXQByO;7 zAzWVSmf|xN7oH*25kW_TH zy_s7>mYWZJ9{&uMyFZ_VI+`8pf9kM=T+_X7U_U|3y%&#D+`2By^k~t_JXXB8w9Z>> z_~sSOw~FBov;75v!}Y&5((WlO&6KLxMM3YWbRng# z$g7bEg`0GX+n+kMd`MM7 zE+-qC%HuP&FSJv&j)gBgb*uMuN7|Jti#_j>2ugIZ$Mjf6jpR>j~!G*PiKT)sJNhO2(bYo~E?-pQNlT)a46a ztuRvEwc;>{&28yCmc49w-gilU6$KZ3;wB4W%?B3pz->QYFQa1X#oV&m87*$B6hYGb z4MXRk!^TF_SsDT7P+CE6_0!KknQzpiR6quzGy;tCS+6Fkriu0O-4bqS*AEla@_$Ad z6+O}$c1sxJ$NF?$tq{wR?(SFu*LyPm9%kF}Bq`+$JLwmn^VF))4*hn{)h+tPqdsie z{%y+!D!f{;o9W(Dks1Lf9`!dBUod4^Q`G1$FQ$`P4+)p8wjlax#giRH2>7eQ8>#=jaPB2m%XFR9%=IqjmKOIDl0&tmc^8PEJa0_f#x%7(U^W5bJ z)0Q7>{?I~yNk5`=q}M4)%Qs!@E%fSa^4B(Cwl9W@H3I(nlogE4ebIOBV(k__D$AU$ z*dC*-hbtRi9zCn2xja>M(vSOPvFoP`&!tFh*7G-Gsq+-KYuRpFc^G^sU;bndwz_}H zO70M_xS|$f0z%;~-4Jhr6mX*O5lodt-7l7nmoKji@j_4L3(idi`1EhEr6WeCB6+_e zy-@@F`IAJYplyjj2^sV7bWP{=4h+31hmU7wzo4L3VYvR9_4({y9O49acOdV#>Wj~# z`+wc|RU^dfLaY{GrvKU1n|7b=j{w;jqjmUnzyG#}m$g4TRKGJbv^93~Dou96GI7`4 z8kgZ$>)M9*ylY!}_v#NrU{A|tI;nXoZv9bnA5O4m3+8*gP}2xdQ*4*8S2qzbx+K@V znIfdr{VR=Pmlt<~9-Yp5)!FC8^PF>StNwX8up+brA=@t4+jA>mm#?sg!)vi`hb{Z0 z+%T0Wl$jwGPp@VHd7ls|#4G`EE&zM~M@usK-H?=Yuc_~w=rz^%Lj$kX@%WakoD3_; z-ADe&4z{;y3eTfelDX5bLT!C@+B+~ghpGaOD~y&XJ>M(_LKmIyw8y7epu|yvwH24& znx_hIYMK05BoSn|7Fr{>cw=_&>WJ!7w=WXHI9(-Z@sD^vrAUt%y)fPATh(=EN6xT? z3~cM?IEEE-2N60jr1??B3%4@_ZL4o~WUyruX8LZ}DruJ=1-1Wm4%DrpD6=Wqe)ILQ zij~;tLq!Uf+|IMYpBva7Z7wDc4IC=#Q!vR3O;B2LG~s?*e?X(+7-Ib{2TFI*L^?46 z8Y$c_>yYcxAE3Lt;TsyrLD40dyJ7`P2iP96Dw-YHWbPHG>^JBT%1P#_grjVdy96n) z$BOkuL3T)e)heq~mkmuc6Cn~Z6!(;vXa|MwUbW1FnXqg*-hd_Oci5tkZX48a8+zm&BNPb(_o|{A8t!f0E0JGv4Mc6NThqF zxp;G^mst3y^WYf;i$S_f`Av@WR=E~Ngw+UWKTo;rrj`;tv3N%7dp;}@pEK>2C1!iy zmRqZ7PgdKkNf3Xq*7}}Y>V|vV{oScM@!;SxlLV5p1z5+5HCdeuWc^GzgvVf#yf^00 z^xS3F4&i>I+h$fg{-G%EL1t3QUl;b238Q^7A{oG6KdTtb*zfdw@SL+%){S2a?ifaj zzNlf=O$sk91BzMdm3+G)P;u+8GfcY|O_t32f;97|B_@q?Zts075ais*Nx9WJzgy61cM?I2xYoY_ACWLAext@Xpgp>|Rvj&pPjVH*t)Q|I z(t5T>i-I&%&lTl_-t`C`|5~b)J>C^Ob&0gSXUoy487qoRIg89nz<%zRfs#u#mPoz2 zFDFQg7m zgFPXVfyE;vk!JE*->vmXFMEPg{?}jQ4N7^D8H~!!`~^^EV-N2^-l%NBuN&t-a5_rz zL0#_P&QviHqasOjkHbZ`^tfU^y!V*u6vEPr2Lyh$ihv;@Bg?`+Zs$XvBpE66Ff;=> z{aLs3I%WDynhClD7K7JAjyqC#5u1#X?mA=0;8RFriZn8$Y3H2Y`g6HV%k>v>4UEx? z$B_NUPjRD=$bThJ<~NZ4BZ0d93Oo;)3W#?YwZRFGaLi`Xgn;XuZn_?5&+ z4^KA&(TZZd^oa5NtO*$jStp|NX| zpW%?c(EoQ30U~@n?3n8Uc|Ld4v$$mLxaU&I9EYb=>D(z#9~tnjA~7KSW3xW-A65od z2whL8JL(DwpBKa2OX>r|w|@^;=FpBWL^NTSOP17;G>(OcW~_ASlF@PSRdI%lcP#%O zGW4~VNht?DlKSO)+naf~j1KkoCvY3+%k~nqn#zj6>n%;d_CS8&KQ|YPh`bM0d*0RC z{r(!E`Gg25(F`p0F-SrWeB2S2DMiEE4R)oTcTKJvq`7BnGxGoIy^Mtwe6UKn*3oRr z<(slK+KfBUXAVYA0v`&wXt=;EVPAcR##p8*SSBQ~bx)|s&Vh0Qk!*=;A<3C90~K5+ zfd~QlN$62==;R)#b1;DSsyKFv4%9hzN`pNrc*GF#o5Fu{aPyJu|6xLhT7e24x8;Q% zU$AS!5=)j;kr?gGKL=FdP+!Nf9AJh*(!ii0uSI^FkOvp~!`3h;XAG~F-eauevj;DO3r|* zLFhhM>vg|hK91FJnn9R5DAow6*S=}FBQs3wMnEXNi?rn!Gg^%lkw3~11LAs?D@R{N zK+AjT#YZo1R^fIJWy<-|VSr`7cJx4kJa}3EnaDe4#tSOjR5UH7Bl5Hr2Z$udab=Brv|qz_D^VU!2O#c*?3=OawL!~j`2ZKo zOlfFfZ8Ib>YnbM^4VBFXF)-a$RoF&#j!C|uH8Z5hCgy}>;IGQgIsaPZ#A-Rl+bT>j zaosmr==p~Bh`eOO!m#sLJZ7P0$Q#tpGv-#;p{5NHdjgDN+N3p(Kax-0%krA%0P^9N zCx<2hR(OL$OYZm{EnUXx)-|`Dk0m!_&!|He2E27r<-ILCPZcnArY3vgbNyQzym~^? zGo|>HFWJ-wn{RzdWo=xsM{_V6vrX?QoOz~~nRYTm)$z_?9yB%+=7pL3bKMAsqWcP7 z*Ol`f->ou8k=@=O_3vg&mbTBRel2n|8`cVNLvDdkaw+NbJ_f+ZDFn8U2?3;@rDt=w z26TlztbdbWgU!DuD+sD_$Ei&ZmOv46^k4mjX3}&%h>)|cu5O(77?u(QAany8SuSSd z@~O3UY4%h(PpW2Z;38(T`w(OeZO}f~V4LqWLdVrR`b=ei5PF_+dVQ&0r9a*_H}_Q) z1x)&pqdoogRfF)h@bf7a;V+%33Us5-;Om4W@zftqF}@kj7VB1dYqIUwiJ2= zK>FnPvkFVxbSB0d`2qBQf^g3@y>-{0>GAHbo_Y$Rub4l%`Z`#yOY8jAxV>D>TKRRx zXc3_n;2m^_E@_QZ_LuIJUAQDExtFQP9gM#9teBWs4Q#$AOP$93m09DIHedKgZ$pJ!@6;9gDCGVk)NNuXkM(QX>*~wkqt~Wh zP9BVO8?Byf*{?Zp{j@mv$VkVBt6bbIjA!*T)oc+r=y-Jnh-K*FFeWT?sPO|l*71qZ zi}M+_mu+#M(KO;=h*^Pg&MkZO?U}d#8WRAmijq&CX3qZpq@4HNHFW$0?24bUK8KcH zb4;Y1x7YM7`|aP4G8zVG%hEsp9(=aHM<}+XasPhs*TjI4J?gg2DX?pNS&?+?0JWP9 zQe-~$U+uHK^HJ_aP;F|H_ z;^uUAtW;TdR`>S_?HSPkffdHi{ply8ZyK&&6RZ`y^Zj7i$mWEiFyEt%1C#0#;Ud=5 z$jA?Z0?@(n$y>Gr)~ZoQr`o;R+@PpE8ihp}O^_ku7Uu$k5s~DIX3@w3iV-*l&P&SMkMRIg zuBY0sr|9YFHSq_H$`~)Tg2nq}PS+4K^vLJexOT#vh|G}fw?NxPYSdAj#b8$W0-0Kq z6IV|B5@a7KYYjlv5w|6m>h28X=otPA?X5A__C}}@hHZg><`($T;2S*U7jq#l^OUKJhco-3uH4al*r-S+6`#UY2u$&96T3vX6HJ{Ac} zMZ@j6BbaulVx^-2R^I-L-|PxfX>%;d9)kqfUY-U@uzsbH74DQLR*WTy(}t&6R-PPU zC5PISJ?14#X;bSr(4SV_8jVQo;A5L)HfB`+Wt;D!#T8M4~t;s{8`B!E>)9%2x2D5*nX8nNLQx% z#Qvh_=h>FW2M&7iv&9EGgXW;-Ab>ZuY@^KQ!)M-Tdm())m+~_shN()lS(udSeqnxw zE_q#3Cyyj$RdKNtUB?`3mgQ7UD9-BJ-w$RYlca31vc|rk@e?}Q7{$s(d;TIuZ6d9l z>2a8j&2etcu$}n)#-RP(+glSxnMUN;7}CZ4&2DZk+HMcW1H4)G?6S4(JaoR)9@jAF zLt}XuVqE2uzViM&4J>h|=_%DFWHm%olq6oi|MMP=54OBtA3RS%j7O^7OBvkUKg&v1 zqsY@}yAPp}yN^N~?L$~riWQjHd;b57aav+sV~D#qg|(4srR!{ zoC{Z@*^i%seSQAp9}4VA=4aordRekK%QF2mDI#&ejNW;sUO{&_G^VbStlXvO*o z>!?UOH3eejJkI9w+_Q(YMNA1aMNYDG^EtjgB*(=!5tXv*C z)VG-Sz@o~m{l^L>RSJmKTX(N(fiGlO1~V!Mvf^4UX`YOA)r&B%`Zs$WwyMdH1=?T* z?eGvRe7J>Re#57yL{?UtDKlSpWU^;&KF6D%Qif%=_kWjf zlsy&ChIhwWzy>#l{&I~dnG@6*=&gPv`U`F%(~i@>-#vy{Nh<@l^vP_Vm{s;MPw z=~8H%I`w)jib&sV)$@8({2-8I=G3TQS2Lj&lh8DPN*QsgA@+nC4~dLnpAlcFjZ5+5 zJ`!FZCb;HjOg3ug4Y%ZVsk;`0?@tKysndeN#_zGy7SCa{sl|VA$M7pxltSrLS_o!* z-Dr&0r48dMzSY*O#MvtWo^xrHqKaA4^ z?cVdNJz6%K{Cc*STi)%C`fi`z<}eI^J3;yl-`>@98^@bDqBjwOf7;+u1a^*-halHI zE&!Kq)~ZG$a}A)Z6~Z=pwf)z ztHgtlZIECT!zVd^^1~?KL=2A!Ym2Kp51tIPMqH8zF=H>BI9SlE107QVz1HCYQp+lg zV5m6q&U4m<4sD(;ugb(Uy~it`mA1$(SW6QATp4zQ0gf>$@j6$mfwBrG7|158Px{bV32j^ zdLo#RO0$wLW+PrcRKHx!JV@tDvTRj9uYO>EGB%m)TG!%ocDP|WUUjkgym#ncJVC%v zCDPz{xRlZ#klXRUkMW%+1khm9+MfCTc2UR2o9lkn-Hqob&zJeT+0J7$hVum;;GrxJ z!;B?c)~pO5Zxvt5lm!Q$KGb{9p5tZB5J%2QfXuRR{lXq2#6EE^}6a5Gn?pn6y0`&|Fp0U zFA1?|?OP}0cbsD5k*RmtmZ@$AZvBX)y4}NuQBfmT)m3j&^}JR02ow3^17R0FTZvie zpw9F@TK{0{_P#8^+Jayx`9iWNH#oe-CRAUza(^2Cv^YH3{t*_n!1*)S7dw?C95lQp zA(HV%5(rI>iH@c3Zx2mIGz<+182Ja9Eph(TCfcP3zl`|S!{M<9%wvfTziRZy`(R(* zGpKL{dy{t+gqfaDHpnMkkcwJ{%-dD$bTIfq&1z$G3)+DEfk2(5q8t7ZW(48SpzGWf zA_>~V^!LF9+=F;CraEFq=$wjODR5{b4lO>l*?`n>WpjCALS&e9Zy-W=dIy~eX${S` zb^BID%76~s3mh?eY>nwiN6*AW-=ei%Fz5f!ed7B5->&EZ5!<= zRuCnHZ&Vd@1|Tj0c$4xN+jGY%$@5wTCdt%8S%6ibx=ZBQj6qw9giqLshr2wyS5S|VFG`3fKo(kA_)S>Q(JHmXJ`T4% zLiib}15~1{#9=<_*;*sjx(FtfAoG5)lA@kF59#maWUef8Uw^?k<4G}RTz{0LgND6C zsnL1>C8XG!N#)Ul3P=p+bp@kAc7+(AseSL~{ai)k)^xwshtMQQ@@7PY0Ta^UyKb>{ zrN?Q3z(I#eMPiy0mzAX9Y~&f;$Lvb;ADh=nm4!=#rA~{OOvpm{k6lmtUUl{CJ8Mpc zns&ned4TT=SA*<^DXb6g{+51y4q*H^?7Q+x@A!I2}0T z=c!DzWI;qRHByRk=;6xG_cPFp4OT*dz&*)&hhf%|=RQKMyVBsXT-`mW4ZEAlsH3@0Rz7eUyjIBV%7~g9EaXmwiL|jUS0-duzfwk| zvIqeY+9A{Wpgj??ptuWC9CKTR_(7w`6duYYgu-|vGTNZ~z07%IL&lMF={f>glkk(V z;mQF92a7N>(m~jFgCrIA?X%f^>wPMxSTgVZH6MOE=;)Or! zLO|oAmLiB2@DtA5akxIRt^c^vGFiaC-yu{qBk1QOZ7`g70Og$wneZR^q-DDY`KVaG z1MGHe;RlBs-4FXJAv!NPNI5r!XNQjoQkcNV5&5kS-OC)wO}0ysG`W&jQz&jf!n_s5 zZCA4Xa-`BTxjefxG;WK@2GEW`hu^mys+Sd9lb|cth*eFHK)5j>@oCVGSZUD5nG^jC zhy`$iy6MezGjvUc5oH5rTVs7lDWe2?I^*<``EB5YGOpHtG~cCA76{V$X_n#h{^hQ~ zx&L-T#(;~W>74W)HBy*v`>74TP3_}uv>Wkq@wJ$l%K)~DJXa4B5O&9E`|hs747P7S z_H9t~@a$Hi%%>3tE<3AghfNl&ao&$gxXY#-vDgy&s4ZS4z&F%Ocx~A3EwiPBpXbe` zttSswnYUV8eahn%SF1-4Rqn5?g;V8k4sXsa3zRrZ9T6eE7~rDXm`u(Ym14fOSro>rvb2(Hz181Ax-+^Bctz z{_Kmq0H#JvHP`(uaO_>EXf;?U!xIdMwjDofSVjfUw;L#Ioo zRr^643Kd^aE!3CrUBJ0lS91D}aVbW`ie@`zbzf29hkPq=E~L z%%r003C#C=AGS}{+a1-DyIwe8`eXiuG3HgmKi1tS4w6>6&DR70&8_Aj_0{mOYS6MX z_W@<-;7O`t#WmBg=gVM0Y?3~9!~NsBI`Md!fJ{gJs}XuxaypO47Bd6RiW5czz){eA zrpATS?yMPbEhL(kVLQ!J2V1cr!$8}2mQgS-FZ)cNm`|-sgSFaQd&FK69xUZfHY!vF z5CZZuRX(c)<}X%NP)2Q*9gpHBAlHi+-V7fDyM{kl*leMbnxH4S|A}_MQ|1!hI03O3 zY_tkkZjSB!?F(&P*QQ^l(Z;dWw58fbM{A{em{t{_h&6k^>OYH^PEz2r)G3+!DgFjO z4b8M4a|JcrwjxEA-GZ{)3Ly5?bM42*Oo9Px5m5a&!#cO|>zk1$-a+zD-b#xmIq=UQYxR)o%Q#4T_6d$`rm1)!-SY)MPKIWggB z<`Dy{yIBOSmK($a^k#s(f-+c6CUM@~Zn2MD8<(_tCuH}G>M=^7cul`*2vpEkGVjv^ zF+11&aKd0~#EQ!hF5on8J>pR$bUrC+iH@i#vMSNVb?~-@wo`~h&pPnEVP;?#VzZ|Y zQ@TUOGWVy&thF~kzY?V9qs^Zw*oDNU>me=}<1$G1C^4I)QkWf`A|~5$PY01;%CCu# z@Qj+-LS^?OkWRZ4eA&2Z)RG+Xkz~PaTL9~M;cTm1EA=Y{`u={RFO_Aiwb4eIDj|P-BI_x8*+hAU zD$K3x9u-DP- z>VItHe<3nc)c+7a!cGm&V_Y{_mo}Q%{d937!B|1AMLRIa)nfewVb@0{$I0;wvDyglU(bJmM>Ln|wau zANZ6OB@S@Lq5&Ljl*p|F$h#RO0F{~qe7@I%7DF;F9XumHJJJ-dGQOoI@o%#PPZ?mL zELB4uZ?!_Qrlay*!5b=%MOJMTH`lktu}m9QEPkDcP?!GCWB*>5SrWu3MfQ8fjLu_( z{e1aa7b|4#JOiUyE+}H&0@>1#zZ}a$3TwFecnH8p^?=fAvK%S^bx(V%kyZKvwWg=X z9{+(sHv6F`Elj1SSXQ_h2LnJuIIb#q)sbcc&T;MDNaQG5=kapwa{WWVF{XxZ(QMo% z0Epl|F%5#!`$7BX%)x+VONFAyiqpUO*6ixLC3~sN!JRiUlY;CZuLXfIWM7Kd@wmA) z9J@LAX^GaIEKIH4B53P1&c?b%MZ$iKuMp7|7k~&`Gs{L%k--j_aJJR8$aG70B(6X1(e<{@h8z$eTK?IkLWdq0EnUSBv;!)@n(TEpuURk{D!0+j|ok7)l-0l zr%Y3kVlY!zz_zywl>f=Ha){gJzF_Dcg%GoVsTCW*Ls@BPKh=ipcJGJJ{}sMiuP&9!wN$b9Zir~y zUu>(a68Jen5$<`D^XGRi!}9pZz%LsQafXZKtr8&Er^$KWFdSP}vp#b|eR74oU|iwd zcZFEq<_w(g`63@pau0ygHkW zV^D%~dy+oF3oxVuYkeo`ss8wQR#+D}h{~ftEbsK`cy%?}weSJmmlU-Pem+n*P-&}N zKi9jIyX&RH^K={cx^o84uct%4HGsUNG=}qjdb~Bp?My~wSI@)mTvdY)jC3*+6et~7 z>=E*aDAFV!6W(EOpUz#6-BxqD zJn(H)4$n{nuAge*J2U+zWh1$I$z=c9p4GDoK71e{j2kKgTby+HYdhm!gY^8xq|4vNq?0r zv3hs=X*s%Nq+3-@)x%$#KiR~n>8ZkEy~bepbQciN;Boxfe)atEsn)z9JN%KQ7o3LN zx-S>wM-Nil-=TDv!a&~es14s#v{q9tGUCmqK0pOcyw1XWfqsEh-&28$Kg6u(*#BZ6 zEMAXb&F4a$7t$iuAT%Bd*${MqFkvGo1-78En*6;`M%FYv-x>q*u%i_jCb)k3-bRRZ z9Ff+*3a4eV!N$j0)O@{>-@@HS#*q(m?5mNovPMBZel@7usyQV|mjSWOrqGt3| z%T{|{J1qJ)MG|BW3|zKrC>DeXP!3BR8271NESvRAfFKA8cEwuOvpyHg>|!u-7e*rE zNpQSc=S}l5P@GVtz{Qd7u30GB09T?LtS}Z}Vx3phqU&KRjY)XGPXzFqUft5_bn8es zXq**-3oa#k&uy!jE!7P#g6uP4w^(K4-XX}bbD)MKPjcSxEPs_O9sE*Tf z=3zZcdh@E4Me_uPHo7taG>ujr6YGH3kU;jH|rmg zFW2q?_*8g2C;F!6gt}em-~ff|e#_^k%~D*4&$m*$)P(!Ob+o0*97&USR6;NzHvH?# zU({=n^l42vA-tveD!KmVx-Vu#_p#jWZX`WSCO<>(@fb05>RywYBSB&s-A{WhC@D}#o3&rkC$PCMd;^;pF!Q~K4zNt47?C(yWG=88a@w?T) z@WCa~<6qk|VOw7dB;N}Ne|{SGBI2iwSzX0^pmmS|*Zs~;%7VumQOZV<>rm$_Gj_y2 z&6Dds|5dx<440${m=gox9F8=KxD@^<8f9(Agxszc@8fXU@c6MqYm-1%=!B18 zyvucvbGDwDun&6#R7le>@yvM>CL3^xNDFi@5J#*sQ4tphLGE&I*F!j~TO4xdC_Hx3 zF&>nh4XPr#C-BNe&82l)J5OD`Z2_XvNLEjt+a~bO=V4ok_Imp`a=wbDj)3fzq5*?^?~*WrkYiHP2h8VH8O>}=s|{;NVF&6kYJ42@F9zw@ofIN+daJ4Y zv}h)u?KOjRCA<$>>Of%Z{hCPKrd(BvX8yK7ELNjzKhWE z3~e1(Wi)aP`bTP)sZ<_t9cWCvJ)&_3bhdrl+0}!)z3!=T{ge<*cdwF@Ca6b8>n*5a zx2pm6e+<`}9yHiSeZSm;h>`4bO62k63DKFp6?pQJ#RO^qsW`Cj@3B=ub-(H5{kKG~ z__wWV!<$a$a6wrZe2d@y5a3azVr6svTtO78zrD&P5I{ z)Wt=DG_}Vy_w9klb)bCst+atr3yK?cJkUQhRM5gmr*IBe+~5;K-g|`CLL@$4QqQ<%xVn|w%nQW?wPe0#sMQ*1>ilO z*-z)@c>@>cE^#@7(*Pit+n}O-SgL)K>wXmMdeURDnm)-;*)WSp#JNCLIWgG=v+v2A zYGXHUS8W)tjUp_hLpuQKmlBV3DylMVN~pY($Z6}1F7HxOWbsvFyd#hz0JP*CnvH*p zxL}GVCg@3hAMnqNhXq!RK58dto9MnC+Y6iiUP?=&X#S-x8v?)y>XvSq9Q(aYL>%Io z@;(k&n)&=0vlLcjR*%$QBH2BzNs5AyZ|MIBY92knF~g>WcCyeNKs^r76Bv`yq1dWY zIBTsX-0e`DR&4I$PE`f3Y{9-;i`Nj1eG6|i6;)Q>GLO!qnn>waqMKSakK?(4)QxZtj+v!TsGMy#3 zXog#;W70E{jF0e)iJ@YPNYVcEbk;Mg_!^KJ`?ulSi`G2RIQjfhoD@!5vN1O)ZTfpI z>zHp<(DHa-5-~WwG+Jt5b@j?-2=)+aw};PFxLVf|+*@N!W%k^ESQnQtzvk2XDI<{I z+CP7K7Mowzws)xOh3bES3medo!fD2-eJ(cSlcuk))nIJa&8KI1ixBuY26N?X(K@J9 zFT^33jW>^)-_571tKvcD7(6w1L#JdZY9s^~H35nuNSi(P?^W2j>&hu(cB%DrEM5#hoE z;?m2N-2Q*_h5p~ckpE&i|99M{fWc&{tw{mUiv9dV13*G*4tyR)*w#{|eX>LV=p((c zoGE|i_6Jb1hEZnT8i`1~0B?)yX`tVF#T&kuc@~1ifmqwHO2l$98>;}q(<@#){Rbdl z72J4rR$<>iB=(P!e>0&NY`NG-A4mz+O5T@BaAx)AhW>dpJNO2DALQ37DPZVMr3kx# z%9bZRn?ZnjeoixbHy_;MOWp<;l_xr4ZznlknO42L_cxpCR@}8Ye}D1!WFUnpYCJbL zmu^!Z7BbZc9!}xk37P;j2kC$9eRdFoNVv1wJ_~1cdLrZzI6n~{JJ+e!_Zto?a0Hx* z5Esy*x8LS&W!C5?^8kKg18D$N`%PUG@-6c)8%eT$waCAoA|1!_q+rOe)A_u*0%4GK z576EM<{hM-G}LX5heobQzXrn}9QJW^Q?wlpy|Fx@eh%^tA;8AlPv7ZoU)~#P_)VPq zn)z;m7CwfB$~L|L`Yk=cP?p!yXw3wTyA23{?1{Gp^njFP+0W`HAs3$?0RC@xoighm zxh9VZv9BS7FDLzO=`6;PJ*E1sOlzoY#(MOuPT2AS5f2;F=jub=?Unj$Gbn zfn3*ML)tftTM%qzNUU?rTw0y1d$sjDKg!kGHgAUF8#<4McVTk5KQqsQoyzuO0?Ta%9~*>ot_Uv3}J^bti{` z=?K=<2>G2e;LxHR-J{vo&r>sjPwJ;9$$PHBi?b-pqx2Z|kFcH>(6>Olv=~4Zap%## z4W`Ee6Dw%lWS?8sIUr%o$6sBAK%zAM&(Ht6>f~|V$QP|b`|5WBmt|U{LCE<~ zO^_IA)2bb$j*Fa0o#&UZHj(XuKu#U@z623Mi+tE>)RK&BwQ>{GVly`bNs~HVcGV3@ z=Hr@3apRDv{qwn19{EeX+S=u#n#?0qy?i~h8{mc?7R`R~&4`p{H(Sl_`&Y@7M$9d{Xqe_l z%=zMC?Dadk5*NbfDZ3-hDzxYGr7&C7t0SjxP6KMTL(f+x$l6qwkcX*FfvDxq0}T7+ zRgXDeN}BkGvF_%W($w;WWFlSv$ z%GSx!D-@-LO380t_WW84!5q`~k1G!^M`FUKpLH9|z=+lc| z_7QNWCk5IVZ4Tk?SRg^p3~hCg`c-2i>;=!_KPR zteGUH#n$Q)kelK~?bXE0GJ-o4oa5;AYpIi43uz z?!pX@p)2L8O68J*hrW-`S?Gs3XJ=UypBo^Z4)lL-5%cvA$m7P3uMR%(QUg?h5dbqwQY?=Q|yd6t5KmgwX_4{c6+_H)VmXB#)OzrGW351 z)sM8SSnd!i%AfqETVeZX|2_w09!sdx&a=roV!T{d%hq>J!<5+L^{U{AwexCJh1TXl z>f2fTKXmNp&mnms_fR2UXOvl4(FjkAyVPQp2ye)&_F?0ufC!h7PF#8_>ZIhY+?sl| zPPqXY%6l`#Kc8nfIdV{x5DFGPS4%HFUvfZ3)l5bBPIZ?q>OC#HFsvwPlBacT>9c-_ z$~`;&e;i+lCuL>{>DmT$vq|u17CMiXgtoF3<(_5~{xW}>n7_ZTwll`|2J!(R|I?t6 zO?$aN2fskdQzev8<9&QZb=|yU|0u&eRjxSY4~6;4YTzq;$EBdu(s@u8+Owsdd3XC+xjF ztNqi=6U?WIoKS|zLQ2sji7$at9f=Ze;zz_xip>!GY)R%HU^#Ld*0Pz~vtF;RSn2FI zH9VAaOFIC$cpSvZ>vmpew5m>}oYsQp!VHtZ#^I~-;k2jo=C{H9y=GI~XPADsKEH6= z@W8R|vJjWh9B_p)>zg=XFUCT9{iWIFDYVTd%`8M3ZR7vKY+TViFR8%yc=jgNi9<3i zcXGU#sI+v6>*-!2{^Nhn$n8J=quj@d|J~OAB|nGsO*BV|khYbNA$>VieG40M{^_{a zpTL9m8g(Bwz#~%&7MBb1{-K9{IdH$4w#%RNQi(f?<$Gl{Qe)$Nyncslub7?K^h2)h)UB>&3ylEs ziPF84Af!`4MtLb*^l5<)E0=-(C3(L@_#2UN`PEDz63QnvJpj=eHfx}5X1h#6Q$cKt2@)Ebc&b#>_Bv8eyOou1PQqZ_jVnt8 zk`c+IjdNb^)n-|zpuy<0x-Ik4#HaprUVcHNlqn4zfWGOglzAxV)<)IdFyWlt5b%*C&ttV@ zk;=-EqRdmn`u>Z2iIB6g&Eqg$P4`<}{l~wYbRw7Hx#+NRF@a$(PCU%y+)T@<^6on< zAnFZ$&J`a_O$z^7(5@AK#P{~bqJ|DYgX}I}CvF0N`lt=wmbJhtDj#Gp)(bRe!sRvYm6>>T^mTG`8)BKAK-kIE?@(mZ0@oQ`fk;kSUAjHZf& z^HYTec=(H%nh2%MJpfc!V0e6e$|crN>bYP3t$=w?u5%`}$d3WuK>?JUMT*IZtnX%7 z-_ITe7E5S6#RS2{*x$lzlJP=V)vh(TJ)mZhQ#1>({o}`-CUWd=850H1<8EmxTEcN{ zPpLVZ7^|WAk=MB>Df4a?eCTu>DlG-6^|y%Dw25jqKGAC%PO~p9FzKHjangu3D~W@- zBK?(XhbdkLclPw#wg?F16v~dbdT4ltNgzxQ&Yv7-R4+VDLzf1T14;`y8<%^Hsqb62 z93SFte)wSg$t>C|($IFw{e=`_c9#9^hIz`YVP2`rAX(fvvw7JF)XMHO?bgQOnU0;Q zLQ_BnU5Uqh-sAJCiE*4AwLr@18j%x3kh2S7()2Xm=*y0Q=;!rm0xOT_)RPK)rtJFM zZ{yD5jM_#2c$HOI+f6l!C|B?b&o3a+JNU+2$)M=Tdx;F`^76<+<%1JKQQHmgCl%#u zRQ)=nc>$+(^%DG8v~5c`v9kD;r)||kC$|C+-BqHHw*H;=-ksnttA~rhR?B+II|L>H zAsbawyY>yYrf({HkuU7?=(dgDW!w2s@y{v3n9n3evn{8&xIDlho+?l6BvRYIRqAN$ zmZP6|t^b=_jOV2shGb7mpmWuqW+(IN!fMv&Em_t2JqHSJ*mF*A1jPZw)woH%nzE*j zW{L3@u5z+GqS`({#-a9x7mG$BbQ5B76<%yA?2w(MRiW;kJ(L(5HE9YsXYPlU&BGl! zwYKjjp<2gOaoi)HRsO6bQ{Up0#cLZ(sSk@ByZ9soo3qP1ma7b-r-WZ{)_=m3N4^jH zIR%!zFOTKFmUlC$?ndp#-N;PpM9$KM@Sh@kf#lJy`2`*es>Z+;hoe!0dV$Hff6Qs3 zEsDu*KOu5+X2o%?Iq4al=``s8wSoo5uXnpDE7i z^N7}WxLv9;KH{b@U49;C`SMS&n=p2L^vQCLriIIuGB0;wW5L4oKl~pfgBqFTlL&}% z?d}uB|6dP0|3%NVq_yIE=F}1hK>(``@JHD=I)T%74-3~KMP47a8zBj>+SxAU!StVj zXxK;|p>SY3CV=)#bt$LCyI&N^rj46K0$k@Q#(#a{(HvwU#+A3As~?Q6hJ94tJ3+<2F(}f$*6`i&a|NTM^GO!g7ugM@S@8Cw0G%-X zk2Ov7=N<@Lp~L9^t)j%#&?_$069isEp2Shf~Oj5`%SV0QiIVl?*V)gZF@9ocen%9nHU4 zf-;xH%#cMOX@<8S2J~R8;F6o@V9oq@9*jF1D(XB_nY%_nh_@gAuM7T{48*@5k=jEf z@(;f2o`ribQD`DSsQL%0g||YqZiM$B^*Hc-pv?Ud~CP8Ps{aJ>Mpc(2}g>@d&$ciW6)E?7U(<%GDV3q zMyaEKMp>o(a8~60WbdnMG+Ue5vfhr*vf17+dpwu{a(`+vk5WdCmoq_tLv>+q;^}h% zAgKbeF&N&(cjNb0`~ZT)ZT#|{|LKy)@)p6^Rrl|;4nF`e2;ES+ln}Fw$MZW~00QIm z3xMBF3?b#1fP8ffPT5uaBM}z$$5OU z2>8W$$_S_yrW>@s7`~x zj`n_=Ehqx8LG#}+Tsmpbv%5oBdeYvsgV3#j15yoD;3bG&0<)H@pjeM|`AhhSr1dxw zAV}9mrrsDnKLbE2Fc_>7;Hn*=cNSXau8gp#f)4=B-Q!VEC=0u6j<_=I& zpMBMI=bAg9c-Rfh%8c67hXtTud;|fCN`obzU$p{$`hz`Q{#nBZcPGD^jg1Z<&smRF zA8^M(&Z&QLY9(FDIabH>2?*3>hvxy@&3Xi9r6B$yAZFP8`*3q^r2bh&+fj9P_y&-l zylYx6z5JHl84Hl6w$}5e3x^+MC&xj6(&Bon;x&tb8s>s-3_Mog?9xnoQdHmpa4j2F%Qb)@ zRceV|qKlnV16eeEPzptJ&NVuXdwooE9g}490KL5uAkh8**j`TXL^ZyuX&V%oKK9zK zG6~CbWJf^LVb%d_oYMJ;Gr=ZzXDp*cb@scBji94nvr7Gt_`2zwRfB~4X7_*6!;W7pAWDV{B@vkQSNp)Fu zZ!~CbaRE?>oZSXMZi72UZV;SbfZm47f^*Gawe8*&)CqpN{{wN?9+kb7T$jJe=@&nJZcrFmub~Q zaTg7~+`G+)L&E;`4ETc7H0)3ivK?6eDmo#tU{L)U=j$8ZC2BBEc-w9LyQWWX%tk$Y zlsLAQt*KwaQP5Es8)Npj zP;fsv2lMnrHsTdgXG^-6)HB-;Q_1gkmbz2gkH)H#wNJOoByf1AY=7pM)ON6+p@+UA z@M~D`*_67NFwmn=?+vX2Y6kXjedC>)VZ~SgmQ>H0E^4c}Nxl(A*9lCqu_0p7y_;h8 zu!^=KqhwWfuEe0&4({HUD%SEthW5kWX*9c6wjf<6z%?{GqR*BJW@~k0jV7}qCg2m4 zN+C#DYW`*JyCBg*EZxdo4zjydc2XBh6uoxL3*L~QGXj4~9UH0?Ik`$CJl#dN?nxnt zi3eVh@3!Y6EwM|WJD$J!=6 z2`%&utf; zIFwT;L!`_OfiAfh#qJl{PP5Gx04gUX*nYAcJWMf7WkB9v;YO}_LYcn(lB1-?*^;xw zPE)SCZ^%`7rr2GV9U!XxY`Z~!kWS%E`rlr)vm5aJ*`B%p~pb5 zccvCh67rF;a47sx{UyU2M6%ty|BbKaQIh>oMyhuvC8o(pXfp@yl>&+<7-Vo(2Z9KpZZ>s{x{&woTug&)s>uA5y`ey7s7rtBGUwCg309n*L zlQ6Svy+w41PE8Pi2k>Zi;{ZaJLi+I2r4yNcwh(B&Jo?=+BXOol;C5Y&SetcIBiC76G# z7w*~>lQ>_#DXeTQ>9*Kf$|SOoC1b-dgrf@&`{3F~TSOaT&2Zn1l2H56*L@Q&lDKR( z5_EK!Si9s=6kqw*sp~`E`nv8Jc(vKp{sc5e^C194wr8jPE^X-y^PRSrJHuVYNpYdCsb3h$xsZi=_T9K~ z$v29L7_6@`^S9ek*i0LWWb&${Q8!O}VD7ASb?xVNwT`#8aE3mA@ zp;aWd%rst5`ae8eXuOdxmT=7P&cJ(`y>$*DpYTx!s7UNODV$o~x9*DvTw7cS5ph^QR%3?fpy?o$}@Stcr`zT&v27V_^7^o*BHAptrjW!9j zB|LoQz-Uykw;^uvVWsz=+hIO?rJ|c*JqXtN(~c#1f2HW*3%2(wXowmkT5tcb{c|O= zeQv7894F|_Q#aQF6jq1Kj)KTrd@`V@?>;;f5OL3jGZDCGw`_x z?t82?(IV7AT-elkiaacT|GqVK`P0E)C{wM2Cb8H#vT@J%(AjZP%w_0JR; z4}$lf_Z&8=2a2zEaHS2W&in#f^th(4n8*Jrg1R8@3><=k?W(|A2y9OXg6L91Ouu$j7v)}z(u?YEgt@f2Na*-<9>HzMMiN3@8!X5 z1u_aU1H%*NpJlRhwWj0t7hq$a#Vh%1IcCKB_bT9>ffDPU(Rq1;X&8osyH@wgmvc<; z7s_~JiY1DX?^cEvB>6|wM22t;>KGFEKV9xV3kItN-p8QCKGS}qZQ65rO;3@w%F2VV z0X83pwy%EPAiU^c=BQrk&a^A3@E1 zZ}+K`4mQnw<+79ph_%e(FgrLHZ8dZfT--!%UYN|w-@oZjg`(et%Kr-KSR%6iCnES8 zz~VcZ=XeL)d})ab3GBU;GWue{ixO$4$D&_E?c<|2m)g7Bc(g%PxLmNJrnq^QWm2Cc z_}t`2+Oic^T=CtCc`k3*vDP;@lq0r54b$m8K)Xlw$4vjd$o%(u`~PI?LD5#?Fc0gS zLy>%!R*LmpPK~xQfpr`$?h(Rdhb}iT6xv`^35Ooyc8Xnl!A2YBKts!PKb2Zv(VjMA zc08N$l|U}6QwLY@J^lU|P1J0GP`_g4<<^MN5LCEl1>;`pkSOM)h&6Z*oipVPzE!Qp zI6j_2J7`G@@F(h$quCNB9<3PG*R78?iUw%II4G*h#{Hy!@r9-)iHp1Hpny!R)B~Fa zaYI*y@Af4eLZQ5`x)`jBlAU$kQu=lr5HEE5ja}j5K42TD=i;`*Jkmr(|4F&#KJzKM z=d$|(^XYw_4)Y+TTP33GV<+}7P@WW5kU7VNP%I%S{0EE!EerP5WX@Wd+v;<`-TDlqO|xxi``yDL2i}nm{DRd z(2}Z1?OSlbNez&ckOn9B#gmRF7wyH12dDSR!EjBVx%`FVT1eq-@&mrDyw%g1`%Y9! zseKn**v+9|rjPa2C3W_cwEb-uXE6LI$ubbauTl?xqq2Nr7;aF}OU;{fzC#O>bFbVz7 zevam|f`1P^q>regS8Fy`l69PbNfn2n(+|v5KjmutfPWqOtcH@=o_aSzf=@%2jBYu_t*k-QOdO%x`offF1OM#3}X9e zn!flJ36XwHAx5#WOjOJCQ>RG{q4VXvVMX`h!`MEh;AixG&uFO@165IEjvJn(kG0x>yt#Hq~89rcsp8B zT`<4ebL!Uo{?ACib>EgbjNh=PLBMu_1UvjWbY!rR*>clhd5Y$Get_%xU5F*+lWKhG<`$dx@ zDGDwdq#GHhy!BVkM#DDBcIoae$ zqi}3?p@EqMPRC9H7?TUCR3W(&Qw~u6SlhJm80tYUsKRXZAl6hJ z({y&-KAtx~PtPWRF|YvQZq4u{#wld5Dq^$^coJYrN_ovs(SViLvx0C#e-F=7Z+`aY z_V((OEKC-`>_or7vSwV8rO9-8R=!zF2ps84*frQ8HI_pZxFV1kVPb?hyO<8g8Or}g8>_lFeSKg)Ai-U7J?mPg+g$^W#vKiB30<2F~8 zqn09v$>!Cz0p|I;6=CF{D)A=);H~BmDE6mCQ85T8tKj6m_P{ zLFlXn*y~1{B?O(rhm@)gX2^OM-Tb|6#$%@i z2i-sy$H#JvN^RTlLhSvEfBO6>j-4tnaH@Umyfv5+-^)PlO8zdipejE~#qTt)n&|WTqwq+`xG!7h0PD(0Ml@GXR zU>rAmnhTkKgcek&uY@4YjU)mB0vLrd+x2}Op2IM@JOW~m_jb{)j-}Q6T8!K*fe)M( z8_LhLkC@C)n&Oj_LaKkx27aHRU>2}%k)n0=+ z=G5l;Xwi}_1%@2e^{KD3PB*SHWy5dSwDRw5p?oEGPL8m#WQu{#Nz&(g)94RL*B}={ z6@$&k!K-2K89Pq1KWoKPJ;oas*d#&93I)cxS^DatN;)W72|cHeg$69b^YfL?chqN3 z`4oq)qe#$gw@*)B29~=)5A)tLS+<-^^dT=!w#S;Ix}5gUv!S~!XKP}E(4kVg^_q62 z^Nr?U%sF=Cm{AJ4jo9+Utpr*+%3rL+&$Sc7Z>}pH_hgn053k#>YD8T8o^z{D;-%}{ zqIIA64N!^|HWiG z4K8g*d^dE!#fz^nh;zC(9)wzNu!Pmcuc&`_|Gu`2ipQN7^{E~&q?BR4S0J3A>zmnw zNx5>O+XCG_&3vt_b61l+q*2XNJoVG}1%zZoFb9!x+y~1Ra@$M}9_he>}f3i1* z1!EECccEA|ECqS6q_gAEX&u;*Zr|XA)ojO>^4zP6rnx!^j|nfM z#2wnsjN2=LSGy#*A?(5HWgy!HhiEutfjlz5k(mN(;kMX>^yo>qxcC-KIbf23 z?>Lb4^+Auh@K_eHfcEJ{ zn6`0N=Er56ZwD%N7Nc}H(0w|HgueG?N_U>{)!FgSmMIc(SUw3xyW~?${q((+V-9)& zQ_RjiXZ5tYG8V+gFXun@ia)X%F*v{X2mx#9~_8E@i#*PfVYxzQXAO2K<YO!(dsLXaq0rRnsTj_jp%Z=2;L&q;B!vi-;au_H; znrGCuzj|h259~UavQK^n{ua=%zOTqvf9zDQs1QhnJ5wPNCV5g^-U{7pDt)68-LXDR zl$KHTWgmVJ7=r4HbAax|ocmwYGj$}ya_gJ9&e|q9uCfP{tU=mDWHLLjieF_`3i8*s zvV(S(F_tZusWPW@p^n}6XRPefFNSS8&al&rOm3BS9sOTBX!G}uAI7*?R6!gvx7J%P za-bn^kwuNT49g)W+-7;TbP$wNJxC2e5hn;N zq5u713nxz~7Poc9{c(mrvu)6ThXEsBd8PAbt24M;xf{QP|1+N;QVLPbi&wtigQK^w z%nOv81tZ(rgER^nj1Kd93g;vIvu$fnOzV<>5>{NCL1$U}_lZ(!J5~(=us)E$c4QG) z{m3)Dxy#xe$TgY)`9@N6*ybH?Zc@=j*$vS1-fbVaue{Hn%lN>FziWb#`>i)RK&c90 zt$;gKj$dDcOvpkliu_r81bt?I-7Ks5vSqc$;)(YX&5p1!&&6B&xF6%dXD3H-yNk}Z zXPF?yU;h3bR3Py23B;ym_?swUCca&9sK0%dEcdBkq^IKHk1YjH$=nnF7Ty!xwC$G# zue&7=ip5zqQH$b~I{P(WE|;6PWL6&6w%JK^yK_P_UKW_!D#nY&`@FADI~f%K*)h%LDt4m(x^4!pP~J7T4s}+aA>L zEO&%5Agj^3DKLAEClg6HLHoU85dwEkeK~}OncJ0Rrd}%*L-N`yb_ajena(i(t*Aoo zMeL_cX4M`YPU+`qn1DHZMTns7`_aTaV#P`_ijBc3p)SZUer>=V`iX>3uVrv7tq_tB z8AsFr4EQ#udS;}ppAM=GL+P0 z%~L$x;r_()G(nr*)fctkJmyHdG*>hJ>7BH^@bQ&Co2{$DETGQYzxvtbVXq#fxgj^} zX2m04<`-=V_f#ko2*$-R`%o{7ePx3p=c=*2qjad87xt+mH={G@iWoRy%Q9XKYu|6L zy>acyxV9!2*#ds!6syw31nRU_=ncPi1^sTh)*K(9dml1eISy)8r~@jkz%eJYk~(9u zi0=u+LW&3(X-&@(ZJ&Oj*wwKI#GM`@;n#fIJnC8ynJB3MWk^ztLlpgxyuMk_X2I9I zk5|WkY&m6sRPp7Hd%AxQQn|>RKT72i5*ggzbAsR{iB)8b=6@C?;vxx;hCjqTd|VR; z6alkSk8_<<8-vz8Zmj_eIi?wE@8;hfcb280dq*ikaDf?TtB_$WB<^t9gI)aA88>l3T;#vk~vib&UBd ze=-xiak897W)cyecHS?kYf>wr3P=|y@5H8Mi^~)|x?|3qkQvmuB_yo#!@`WJqU$$z z4BOoIT6fmC|fso1$=H`B_nc&mU&2T=H5gOmNsF@2xb2w3O z2=LeE7LWVM$0`-=ofmM~hw{??nxt)jUumzd1L@b)3XJ(7H!O%{rDPJ6}`tasZNn9x0elNR$_#Oy=XbW42sQyn>5v>2;i_?>s< zHH0@iue_GtM7pNyRGZOTrfZE1Ce1Sq3*F}lMea6lpAN3ah+t;p-*$vQZ1haOljLHA zSEIQ0&Jwl${*4TwY=^0}cOKqaXh5q)d;AD079F$tb$HLCmtGs6c}TF~v`tm$wL4uF zLE{4YhAtj$|4oLdB?%gE-QSU%q?t;1K+#JnuM_pV*pDI1$@hd(hLADtN<$0UnTJP) zaKOt9@6C=eAyKcrF=(?mS_Ca3uPY@Uh4mqF$5{+HvP#7HK3rZx_&j*VTv!N~($JYr z%?YH5{4h;^{D|B>avikAU+HXyC)Q#9NXwm8PB3&XmSE6@+1S2us?i)@yOOXE|MhN` zboWr4T1(frX3jL^>w?$)5}nB$60OA2^XuL@InnNZf^CT}HlwG}Fm8uz6hWi;%j={| zEg>f#f-$_`QuG>L6sa~$Vu?uNWO5M5Tz5g@-rMnYd~a2pm7K;)`8?#amvTCBq*hTJ zL-ceN=A6@6!TTg8aN%|$68dFt5Ib!r$yQ5X2X-DQd5(a*!hJ8tTRVQ693Ngjw0C-K zG?E~tm8l|m2fdZQ>-+VP_TVr3A`}_0vcZDa1L$9godIxzdO9IczyZXaJGk`Qi*r_( zW5HjJUs1d4QHb>_%QK~qjCY9o_Hw8*LM5qu0HZ4_e=4^_s_w497ytVCbx>!il9|(l z;FrT%4i+En2lE`H<-aJ*gJ;3Np5trhSrxw#Ti&|&+9`lOG%QSlT>S7XeHgyxsY5%? zTo{WCdAnJ-e_;7Epk>u|4KDw<4=4OfVSV;y+DsR%#gKx+N;P`^FkvCXJ` zgRA#8m`i+Wd&dUExbE)q#0<~VTxj9La(=nju$@=8yTZN*n{1Bd4bm=eA#yI2D*816 zM|^E-xQBIRl(6WLhGJug;j8zES%#}}bgf1{ZyR@bEkFZ_yMZMm*OsSKc5fcNRvqyXt9;x@ z<@}TN+sD4%)yCG>J}KeZ){A*`oj@Rb;}jO%b?XsrfLXgL{#PeY-`9Rk!UTtauab%< zMWVMlm2EF$z2{Lft3@k%88bt*vAd#hIjcehS?)5TeZj7K#W^=nVvE1J2tG$kX zu@6^nl5{P%y-}`@%4ZUE#Ahb1$T_8#ll>t_nlIsT_89W`VVEh)t}z6UHVfoR(W}6m z3IcV`Q-&3QjjDz3-9+lpI|N#jS^?v4BIf6(X)k`3J9vtEAlu;&ZS!ilf&~9F2kz+% z0qeAAHm#RE&?u%N)jiee`ATwsff(;D zuHI*f%qn^UQ!*U{DPP{HBsx9o#sfpSh#QuhfMA`0b?`Se|oC&*WQ zsZOSnwZlRLNCGfB+gnsst}2Y^WL-`Q4f)$%-+_VG!tv|luNBScdS@M{`r98Fa|woG z1!U5PtulH~MLew(+Q%b^Dhoh=hjQNC#v(uhbO>Ml?f_4_o~!i!*U;Pipz^lddwg+z zh)@>V&L7SCjKQRQ%{e#8h8pp>RHpNH8Gl&#a;%QbyyxI~048AGTS0KDvlFUU$uH!7 zv0{q`Iy0~G*0y`pHSGBiB@reXoSyTO{1~(nn5svArphWT`~w2z zicjlQJFGokA3<2d+*o*05X7xCrZ^TXMoet}aX=wA)M5g_x&`Q1L{G0Q2@#QRD^?iD z+h|eUStM*q&5N5Zq9}gwJQD~`*M{6NX5WJqvvQ zVKbwTU0gxiq*ejCuLHR}L#(5m+A|IB#Ny!*y#cE!Ki(YCas)hcC=Rnw$$Fom*fgLq zk&oPD;AKb_NRjPS9|)?uQXQPx$%O1%;d}lv(gyNmZvTF>uElwbOQf=odP(FxDiV&R z@x5AZYrSFx6OyCPsB`f(zrLBzM5U1;bNaQe1~P3&szF+R;-l=f{X^mbD~B0r&q)9% zE=*LI7@mNb&9!2ta11(f$4$P^g~J#$kZ}0QR{C^dC*Y1xrJn`F{_V3A*PyMH zgomm9$|OV3%9_q0TKnnlk5dbbfAXiMlgierru3EN4T?~(sqAPB%E(u^zJI#poYFf(b8?=uhzR$vH z^33jbE88xDdLMoD-@7`zyr(cfQqip3+!=-Y-q*Fu ze(4m3I(*OG?F)ZuLb)H&f5PIIJ#BtoGKRTId2b{?W;u1ehV91w6Omx=_0`#z9!E-1 zr@Tr+3*o6V|h#>dB@hCrPf|!4@K8PV3kQ*)>Gfr54#xtF(x083o;*!sOW zgwp|lZj2T+mi4117g18im-P_I1;5OT78+7-RTlU zSfN@Z=sRirUqyl+QkhP80$~*Sfnm$OUrr!;)o1+_VFht%S#(_?a%U@4GjrdBn>l!b zle0wkN61JKc47P^?32 zIpUr^ryY=3*w{IoHs2Njti_*o-D3+bWqOhN!O-kT2%w>uNVs0*nAD@1CJ?)Au52?x*HfYV(jgkwN%1#?F<21ZZM rHMI1ya7UL#S{TQFslO5@oRaeAMw{0e+IGNC0pfwxb=AsMtit{Wi1!Io literal 28719 zcmeFZXIPV2*DoHB(P3;OYE+Q$IEZu+X#xq@KswSx=pBr}AcPXCy+p{+Ye0HS2qpAt z!3YQlA&GQ{h(JOyKq#S|8|OSTJm)%J{?~Q>?|DBQKXAEo-+S%7*IsMw-zxile%t8Q z;a>!Q0f9h=b#-o7|&yb+mynWxo?VKlPynqMbqvvY!qqn%-qqT-^d8@p;G|Erd@l(yoRW-F02Yg*! zcEWtmM$TC%*R1bnFJypxRm25)&T59`M&nwtq6sJ!Asc@sp^dKRquAkqvyHc)DgutX zR8r0~2$U4ZEHwALZ`m5^Vec44=dCo<1_^u-o*xd^Y-jhr9PW*{w(4zofdA5NhmSIL z{1!sarJ=*0^PkGWc(yBmrjP$%=L|O zGz0&Lo(t9#vI#{A4F`A&4eyx9FJ|~gQs$Kdvrr6QO=krmb9lm^3NS*7YT+@e;KZ(}m|8BVO@~asu$~VGlbgV3A#f z*Ik8%7h;ubCVo*?u8fJ^Vtq9l{mJ-wYke13d8K9Q^JkkZNbjvkaq%vZRlX3qY|hv@ zY()hnb9hUoP-^+?`^dcAbw=6mGUkw2ow%mDwl&8#;Z=+e1Q{wPsU2lyEh#{~JdaL3 z-9bfv;rg*|^Ww>=wQtuJt!4!$Pl-vsb$^ z>*&6_E~x~^`K5B5FZP$|@5?mH{L{5`S9vU&Bn^*d%U*9)vY&OIkw0M)Mm!5ckBzRvk*U85y@v` zX0u42_s}j66!ZZxwP3e}woA-=i$}}R(L;r>^V`jNd{@X|q4xpP>SOe9o0tqxvXHeT zlP`Ed@izh&ad1SM6r0411MLGyw0-PPyltrENhv zBbrgMhmArDM@ zt3>x0IX@Or6!ss7*g!J0sr`dUKVL+~>=S z4`$xTnT@(N{P`zhdBxJ^diN-_(`cm8%$N?gObvVz(OcE9^UeHm=8Y)^-|ip=dAmEX zHn>?g8=LvIQ(DV3w0rnHy-(YU<8H26Gx+YkeO-L?RtZ+}!@_5U`P{=bor?z@PEP9G z^B-(AuBi|Wtg5J{T%^2+UO1B;n7B%8QWx;u)aGNY z(adjbI-LEez6ok3bR)}YEBlA?G@!)H-+lZg{0Zmj?s)>5rX}7!rXc+vHc0Cu{*wnh zvS{~tl#d<%N%^Yl|BVS0;p@{zono&ZQ&6=NsD#?i`{j`5A;=S)UCN;8dsf(6p-mkOXUrq39co10EsU|M;1dRGsULJGg7N*N!g7nN&2Rno)vIY$d3mrw6Ly!4Yh)2Le^ zmBx>3E~g!4ZPC=63F5Q{XM)_WnF1Z^SgZr4k}sTB9Zw2Op!M`~p(F|^FoV`Z8M-eB zym1vXJH^(;Vnfc}P9U0X3Q;_icV{;v__l#oUZ#pi9+f^vtA2(ubhb-}(jKKrNq zxJy3wi6kk#-5*Y9*`4-Wo>#gHgl_%ve9P!>e>Qw}zIn_Hi%UxuK?cw6GJ6u>dKiuI zD^?bRPJ!Ya>q;(WIG+mM%)SVy^3~AhaYn0hM9^?NY}@1RcLj^j#UU&3UKbH81zPsK zu8(mSyAP%;&2;J@)of*ft1Jt;et|^Rzz-e)wCT+CTvN^B&WlxRelhOlW(t*tux}w5 zUh)TTh^7^W&ax_;3I(Nxtv}lK1-Um&e@)1ISa21Pkyq!i-|GgP2P`#PA{gv9eoAky zfu9qYn`CFbrIq%%r=c>H!5PE-tx9P*J0&gJR?EKL-$fC_Yid{r8)!kCax`RIbTqTL z$JlJ09}-znw1Y}-)|?(JKC?CS29R%m*%o!p)hiv&&8#%7=E3=P@LZ=03=B88L1SZK zkb&aBLRE+ed#zLpXCqsXJx;`b9h+iHVh`BN&Jt=&Hbg%hmnpC<^==xQ$ZPkPfh_12 z$9O(+n9DSBpH`0kj=Z7hon*-^Z}-5bs)%sbo|5OlRXm@s90q~@)yM74fO;*RB#dw6 zv>%lv9PM7dVdUmv{ZdhbGVzooFnXXsE!1Z7yD7{&N@;xJ7A_*Cc-Ftz0C_rbGh&$G z07gFI)H*m8{7CIC%#d#I?7&N>PdZabXix3hj!u=r+RlgB zhhXncEVQTUbJGG9vQy*v@N#syG{41zO#~(uwPhuKD&a#?x|P?m9VOMm$~!0N+;raP zL7AjS(|%dLvA^$(PE>vJzuhk_6l&`&FN=tDp_{KB!3Gto4T`{8X8iKWe&9J*pHONI zpn+`@x8frH1;b02-78VbRXs-KUZ<)C`bEDIc_8R?C0D}iK|#YLX*fB*QuxJXJBGO? zC~+-maj7Hs9pZRl9vrpWnJBRJ#k{hm$+^&7(NN*1K+>23zqv-byMX7+lc7xXFC-&H zuOz*KJkvRQnA9d3v%yO1$vJO1mt?eZJQ`_YQgFCpIrXl6LWjC+ z<_(_%+A{N{=egO%2FkjVzOtQwX1G_^gEjw9JZYS4-ZAfn6KUl-71=$snjdLO(RM?H zuJ~b!gC^Z>E*^akyFI)iy!8lwN8e zRXtEz-ZH#8yV63f%oy59xx1;W)!ov^wgJ_xC6;0NZiK$+>jV|S{+$2N=$3CffT){!=T-$ z+f$uzjJ9f_o1O&qq&=pkLhkzAyAx7Tr4@S5(?UZ$G5L8uZM~%{2WOU!GAzmc6m%s$ zt8-Bx*1#;GOIg7TMx~RGeG*MEO5qK6MNg(ZAPkctA9`v>$FP(>5OpReI}8D~!e2H? zbx=>JZ8`R1<<1zAn*|J`!Cq419{m*so5f`jXWa#hsqf_q!EPaG%R({*(A5{Q<|^1E zJT6ATyDp#nfpXa6!M%WJT$=oGudNbV(;X`>+-(1QgCTEpW_#STRH<5Bjzn#eUD0Oo zOt1~+Ffn0SYR23qKi=<-rqWWrZCv)5i&m$|Ig-71dKIM$l5Y7;6}V7MhE;nThRJ6` zj#pu1GtCTzP{q;i$7O&CV@7qVEA({DysO6yg<3rkue2X>a`9HYn_)tc!|{}gh<|xB z=3TanSM1VM=D1X@+{M_zs}>NmdUh0vgg6dbd_dW$&|PLBVQr={yr#Vj|D0Y_VhWA)@dl-Q zAv4CG*H#YJ2RVEv)W5PNN6WNKxuT$EDHL@M(6GDtBL3Xh`J9&gqwq}~%JhSXH7|64 zeR2}PSAOF6hwWuOm4FsHs)k!353pQ=6cZCQ!D8YA^|qSYoLtiOF-e3->CBM#TR>d9 zNoAa0G5Wk-OKNjRU!{sQ+7#kEMGf`01MNKh-spK7uE=6;Mn29l;P)D9wif4cJ1^XN zSvVPNz1h6@6{nqIvE!jN*kxu73GZ2sD6wTli4jkh8M}{Ba)jvu2X_U*c2P(45CU5; z6O;??DAbNr%8B>NmE3AWW7`8X2`1F#ThVPXfhD7<%U;or>x|p0ec_3GOu^)wV+ZZZ zZV0&uGuSeiJeyuEv!9ptBLx4P=7^f=)^{qYDU2q}R+%Y$G933Oz+i6}(qQpNq`}OV zrL;3S?TF46$haa$iDf^zT&_sejS|az;iyFIc4^AHMU_v{RMjcU3RANj9;;>LO8IjKRgRf zy}!k&yzWoam{UX8cbRJPDK)%`{gv9MB&h`RUCN2^Bvlz?XoLJm&<9Ltk~G%Hlyyg%09J$zYt68uMVEEzcMR5DAgHG;+U12 z;sm{++j^5j-=!%5u5%u*yguEjReVD@9y%mpfJzK_0W3$kIoL0=|2E82BbY>yce)U)jz{jQsO-_fOSQ(b6tioiN9oeR9PKP?-!U-6)p`1^o3 z1O5u-7<6JczIzUM8g&MPOS?Z)QA5sz6b5g0PH-ECLZjk$6};^a;4J@SBsBQ0>u`Y3 z?zL?Y!iHT z)~}500F9XUiz7oINbrxYEx?kaQk~VY^xzC%dC|$sF50^QGbsv}#v^l-G}RVE3pM6V ztP%&7*(UQ27{~o#C4usxd`K<&1o9nRlnlHLKT=_)0D33rL^w%Hb0P@S1f20(sJsAWwqShY8JrYw_O0*DfO1C!8v3$M6=xU zZR;1d6qbP5bseg}>Pq|C7QMW&Fqjd0Es<;p5m8AZ>~8m?-BAOFK3o{9yIl*=`53&r zh-tB`U#b5qfPTdRb`Df7^Ka47cm5C2DG&w*0X;EP*ZH^TP-{K+iq2KWZvRWvfM_Q> zB%FShR{fN^I*oYOaG|2i5RW_ooT-O?+NCk%`a^V<>qY=3^`g&CRJfTO1q8SFNB?;I z|5kK<%*}Riz$FuKh3FxGPt*W7M?!%mJfNt_?ok%+E`!=;D<6|zL#EK1?SOkF9y0r9 zg}aF{nv)J-+)3r~y3C1I*u2Xw2d>uO07tE-cKWzn)wF2hujAkR?rUiR0);RVUg3w- z7MxyME7+A4P;-&-NM8d71i{(m`4lIPPAQ1_R{pP~Xmo@ZJTK%NJp+`o_VUR4K?4ms$7Nc*lTtoiV~5(Xij z$ccf5cwU_es|5jlWZxzWfc_%4+b8Kyeg0h%`^RN>`*eNJ=L1M6K3o9r_HkP?=vHmmylJ9K@L$WhlVu;iBnqpMjL`~T*O%ooJqjz2VXX=)$@!J3SHqW! zw6b8<%tESzT=#x(BqP&873fF%Q(qMt3UA8l)giCyk;$@U$Amk)i*4E3Sin-&N(}q^ z%>`Pw=TOE85}~Q>{t-7#XhhABu;Poef4X8?{jl8qhjy6^Fno?u>f18J5Nc;LAs9SG zE^DeHl|25Ul5vXelQk96RC#4=Y(llQNrFW`1>LqiweqU9xRw2xyB}b*_uJ%q!9c{x z5UT)Pv9}c!(4ls?Nux7dVnI_?y;8{BLIgCZxyL{lXYT^*96c)VW#uncmxiOo+7`YC z+xg*-HzH86EnN{yOw45X zJs>}XwlMuF+7p-tlw!>(wi#B=2Jg{;^lJ=j`>lSogJFx!f(Haon$H5k2~YM2XMDAA z(O$Hz6k!leOOS`rYGE3#qpZ?ElFYDm&VrE#oS~v%5Iw(%@i#UP~XEw@JPA?5$=TdyS z28c5ntJTvx)It%&Xc>L&2G%#EX|RFb&s_I9f!HE&&8gJTppuBE3V z7LGY`a+y<_PVBJd?P--LjdW9^sA`d0+h@&dtgJgO01bM_Ab7R$^F&pqw>Zf|Umf)E zbeN>LF>YB7HeWt{Xu!{YiXAGH1xofv6;B6gb~+RKL}az2Ij2hsE1wps<@DI1A{c)0 zz;U-?T-)3`;Tul*&DyGPO$2lEN>I|GFXrZUAm-+x0fsyfPR;JP$^U!vet1WOS} zKTNdf{koB@agCD*5^;%rG}(gAQEFqFU92gpBJl;^z)TUg=N>|QbvY#b42boK-)7Wm zp+gp;0?!x#Q_aTl<0pOfCrg%WFy!84$n>N8aeWKc(5DX8(D_g^+;f31_Q)vI13Nc| zs^Bp-+LGy@h89e$5gpDAvk1CRUX^9eL|7B~;H}37R9GP_*AHIc)&mhv439Um3(GAa z&tokK@r70W=)m@yU5TNRrYn|e9!vuMrN zC4(@jNJlk@Az2UI6`$A$KYw5FWKRO9bp9ab@|-(#QOVq`D~A%TP(ItU)%Y zX8jiV2nNX~_Kx{(;59AbCJT=)=&|weN2b~5yDGB8dF<)VFQ}t{Gc5|{1O%#^@#3r4 z)tiExhdNBYwJ?mx{z>dleE}D@E;ZCik^BF#0h0BS%@T=I$MI>fJccR;86YuZdOdOD zmRMUFHLs>QFV75Xa^X{RhLgO2jj8eq0nR}1x`s6^=*S+93+Y=ynryf_cdh1sv2E>qT*JuZ6c6j?8d1MRei=Zv32 zf6VxU&i{QgV6!~Hw*SK>L0LoIK654<^yxQ1sc(4%Qm;wB#uqE}ZK!(k;!zDHxjj2M zQi{^w!aUVL2e42e*>aBD#>>d*8amT~61r)2Lh=<8~h ztvO=K&C``pCF#d6aPA|_Y|L7-(P?veoLUd_?Bb?HVIXoGnXK5T^PK&PzdW-rhAKX( zAwkZcsWCGf%>W_I8}g<~@4@I?`7)zg*p*$2=gke$CEnmHF0&&9z8HwhB;>JR6dgi= zRcYq7WdR>NOUqjc)1WtyZxn@czDnjEzTH{_J#2@J_t@8L`9n(j=+2O>4nKZozi&V>&wPkoNdK={2H z8UFIXei~aHAFA3XOT&SZTTL#98=+q|k&2C?jE%|bA&E?SO%r7U^h#^Z)F`uOpkyDh zaQ>@N$R|EH@*b&7r_qw8h|}Xo+IuLO@P-9Q$;De(4>R0_T3ZUo`PL-CSZkkc3-LD1 znrSF<{bNM^^CtpdS`n*8e>jj*CNjEMd{?pC+2}uC*6QuIbbs|TqUI`k$5x>#Nu0`fqniObQxN+=78}2;r6p4@dF^9Av zd(*|zUdx5yevP-2kH-%DWz6P1aNe6#Yfp5X8n0M8TJwNml-N$nl`iM4-fv(WG0=O! z?dMA1B;v?k^mygE3c?r`k+iKv-%k1`L>&JD9o6S&Zi8`=I8fvj;np!{k6Bf42XRc! z@Uawqv&6+Jhse3c%n)(JxdvS;L|F0SCC$?83CDb*6|wNJBWY;Ds`$>Q>pQz3_+!$7 zWh;MqT)l(M-Ke~o*P`I$Ei=tm=#X#NLunvnf_0?+hP}iYp$eV;fC-E6c0iTC(hDD% zgwH7$w+e5m`Deu_P05bb$YN z4b|Uk+F9203DrAC4{s$&(l@1eEFHq5+YM@uVOYmXGnMl{0;d3yz*(PZxdnfD&)3Co z@H$ofGBy41GMb0<(By-CThQQ(%D+cN4HGLSJ!-`db49}G!d6V&^w?*<9FA60Jp768@y#d7*Xn5dm=vWAS&V;0t1i zF6m~UAL27O^KtH>OyGmrLQ#9L+QVjC`_CRQi#i8Ay<4&chNTptgoxXoX)AFO>yYYs zkzbAvew>&MA>NG8CGm6?wOdaP))aWA{N(|qrNrf$U`%=oyzg|;$jka2BbH#IhwF&! z7Dd+{XB(LpZ7h?VSa2QtIc`H+tUedq+bohcsB}lZ1bRkIK4;ZIylcU7R9Wc1*7N(f z!+9xINw$nq%HlY$YyWUeJ12Wppb=K5jA98e$n8@`50l}Wt<5*W_n~tDH&b4y)n>IS zcyx&+R1g)Xw>7s)Qz3msLbu)6wmY_?%2e87aF}0MBxZ_JkaOr^YBXRq?u1DuYf=(H z3rxSK(F;0-2l>B$-F10VqQ_+co7h;WSyno!PdXe5c>42o3YRqOO?+HrA4h z+Ee>Bf|~{yzhmpQaQ(l4bF+vm!TIF3@5jRm4}?M+E|RWL)R+}_)a=ED$Gcrrus3AY zx@PAgp>SxHXn(7fv`;c%w-3v1_t?p1zI_eG7FXIY3kFs6AV(rLy8|7tDmI%tdBt{U zLb?rftP^)9s6U*wdL2t#wK5}Co`gZB*a%GPdeKD9?0qn{aFx{#IRH190{pu1_6gsY zh_IUJU6*o~t!}(c_sJL;ZVawdFVP!n@6<#RmwODRhNcQKAkP+l&x4uCX)oR+e z2x}Ty5K(xFW7k`|CdAyS6^>lOZE=doTyUhX1E!(3Tt_0=^&rM%eDmxrS$oR+nQ`RT z7tbLMlj|s^Dhtk`u4+=8ODc`7j*C)@yV+MhOsHy%s0dE8`I zzqbl{Bw;(eCVJuLR?lYo`dK%V9gUf_;+eI&WrudL8D+zGE`}T_TOd9&-ms-6lyzk# z9wcot5T3Y9BeHFUcHUm?SPbg-Mn^{)>})?msr3itRh~ursPa=g?i&cRG@;ub?7Gwl z$D*>#Nvk*%Oc5MmSI@1IP?6TqcyJk4XbS9$>U8 zPfHsRsM5^8ohm>W@qM;U(707wJkOaKZ>?a9N4jN_y&*dl)BC7FUcz%-FVq0HoC?#3 z@1!PwZDq@1Q5dvd1J(HJR8DK`#{0*>mS-wj4h}C7$KgvwK+oAh3{0W^`va?3t^ zab3B^*nXO=kEQg_t=G?}N_b@wmLWgVCB#uA+u(m_DZ@gUExXk^;HukHN!38f&UVh-%lzd67SX@4s_}Dds=56I z0yp-Rh;ZX6w+)-kpG~IHsAjKJDs`?Te)MQCM4jlp*oh?tLvj3cow;6_F}ir+Ff|tW z$ZDZ9;)APR6iSmy_b9JzKbm$K@Ip=@My#;+eSUx+Mv%04+b_}6C5J6VawAJ;3AmD= z6}x)-%v1&Xgli>NUW}L%VdY)NRlx;=t2ugY0Xrj_9K9$_SKNwb)<`&BE2|{FWbhn# zH9Qx^EMDl|%F!+c(kCo=2VXyDtLHQF#kM1nD3t6$8D4ZsL!Z5LrF!fSa| z5F3eD{dx6n_UiGgnD6!o45AI>C&-`QH zc{ia`3tOr%H|Q$hh*}oglDJ*3X4K*FEOc)Fx)Y{qVSUyY2kKgdMcAH2=B-(QaZahE z$li$%OvHz2KSeb=%F#2U1zwf_LL#Hb@-slJb(V%+94D<$=m*$Z8|?(Pi#(JM7Pm*` zn2FmdU0-_)B=eyd@~7vHeb0L%Z5AYZ^;}Uo$|9@?pt>u(dWR`}hq+@O#0qH2(rV3{ zvg`~Wru4IQ)OvJX3tUZmO>#%{FTdo2Z+XtCVRxisP|on&W)91wzijZXVEBSKPfx49 zqI6l!r{DghlGtJRhLBhP3iX$Y1d^LJAKwFkETxtNKm<4IN}$FRY8p7?hMES=`6lU* zSX+ZP**vI{|9f1VQgqxMSN}|M2UvLiar<1nZq(A?hygOuA~QZxEL$z25!L!$f#QwT zMTLsB2@YCJr4*{O@a36Hs$k(N&uF+RjOmFX4@wCqliuqAo)}q`r>s|Mif^rPrgd`T zp${6nizhaHCi$+cCgx}S4Ew;~pBZ1zyQjOA;X~m!=rec0Nz7?&l@{DUnpXlboo^Q8 zgM`MT>Kda38m)Pc*gRnIW(T*5LqK?A%u>6btxoaN)qm7^yubO7C{J0kO9xga&fX-e z2rV)_GGe9)Kp)0*U1r?Hv=+kfazy8wfDGep4}?Bp(LOZf<9_rU2=PeHtu_NR^;L-y z07;xOvZG)Fn({t)yaYl-(tV|KZWS#Onl%Nwk?qbU-zzV)sfKhf&L^nyT%`YIe1Zwe z2k@l=ODZ(8ounl8mU}IyiYqlfphl@v(O)%rfM;YVCVxYWBt>5ND*34z5R+Sd?ZA3N za?-~{{%z7|&+Zs{*ZNR&M@Bq6XY{;(!VGKRVw8q;wmjw1qVpQkj@XK~)f25vJ#U&P zkR*={#ASsIQ^C1i+#npNRSaOYhUL~`9I*Z#@%?(5w#pcgIYs`>a^$hiIlwY zG#^SscG}pf(LhHv8sp9{c0iZ{jpLg5SGT8zL`%KeqafN_cMjqyEy(?G+qn3~xRudQ z-UlfaLks$+#?{6`z*|wY5*mN`O4=v3#!Rp-sUnwaJvW~H&diMD=71r85I4Ei?{}R4 z`&-QAJ_FJsY}daLokplxP#T!f>%+#p_%n`b7bAmQLoAbwT)W-`81O`n(7Ix z4cP2xSGwIFx)1Q3e^}Q$Sx9EqqM&2dN`1@7sZeG$YcwzjZOTc?5^Jf%U)vO%XXKqvCP;2=tn-dPymOi>F*2$Ok0F6 z!}y}dk}Twg__^f<&ceNM0MFA{G(V!@d5#9FCM+(@Ne$RXW1{d6LrDXw8)IBz+kc)F z^%uiLCo96%Ptj)h7CrsyFX&MoP}fVty!e05e6cx_V<6m26D)4B6;c9*^cWzPe|Eh| zl%}wn+nx0S$Lh@}%_xU0$3AS_-DLAJFE_!_?lE5+ow%w@IWto#8~3eA^|>c3iKZS| zB>~7>64bCPD>iEI31F4p|F8yd@2a6W8REWhf0KgvSIh$eyh@ak(3BB4OH6S;;_z0!})U95;Ngq?$W|lyP_WB86ySGz{I)FYlJM>mp#^wu|qc7e1=M zGp3ptPMbhIXWC_TCX4a(q=!w$|D2O&6<)eR{^O*~SUS-fTEm@JZ+S*VP(p2J(6=%*9W4`Xk#8~C# zO4%TIq0W6kO8r5>{o)%|h4^D%eQh#KdULzp8boOkZ)pBvUPdo6vh2M<%r>x9sjmBY zpE4;1uA%>XR$H*W5CWXsQWY z3OpayED|-B<1)tuuHu2Pf|F>V4IgfhZ8kgXe{% zQ}HwF(+2YgWC||LC3K>!c}B&FRzuxMEq}(VT^TJL^VI7#ndCIMi&aU{k239B|_;qDcZ0kv#7ZbBMJqm2Q)exST0rqS-fb;F-~p0bI%0!>y9b9a&Bg*oT4V ztLX45;s1F&n+_8LEuWVg#YtVW7|%8tu~+1ltk@|$B5hlSd(Iz64#5yx7+MX)X_RG} zxIE*lnIlDi4wtp*AOBQfBv(7XZJZDw-Dja0{tT5Q?}TpSViRHQ4aS)mcc&Tla^?(Q!vLu$ld?Ok7fJ`o}^oA-+#E2~T#gau| zRCeV2dyk^B0rb!dkseSv3g&m;k~CM{w+z45LaVYU z&o6&@p)o&Fljc&YzHrRErkQLHQ4bkuu9LMPt6{}Uav6Aa}2#`BY6 zG%4cF3L4_y-@4#r;xW1G+x%oFBm>vUQCkl4;jAs=R-bJ!L%h>tHnjeh*&BXIT7_{p zL|<3>t3|vZAEmS^-79fj>44Bru9`^P4`bt2XV)s*Nz7SK?63@N{2SSPbC{v4)oi~# z&wgEEz+XDQvzTL$+k^IT&?Ac@2KoYKSMwsL)(W+pH@^gIg0V*}P+-K4xd>3>Ap$6j zqeQ~#OsBqzyHkEd^N193BrM_!TLUYOINvVFv3P^_;?`;#CtkhtO9gY>D#$2dQ;NUm zV!2Lv%4agoMQAza-5wh7op#iwl z+XKIu3`{<`S6PHyV6KD_M#Cv=$jlYWvx-h7RETa&ZLpCbm5OlQf*G2%e0Dasid+?+ zxuX7IqT&{XePL#8uKs~mf2rgs2lZfb6-?hhf9h`wcBuV6825tq&K_&8P^O^_we^6IO$vK|1c>coarRd-&tKl6#` zX)L%G(%L?KujLR$0jOp0_lrLL+S0l{Hfb8&hN^5*{M(dXI#GzYdp`eg@nynei^`I& z(}|>{6+kB~CO6;#2Db_rO)D$MG01oB<_MMz1>piKn6Eky)OJU^$Y|q~(xg3t!-gjW z-w&mfE{kHbPLh4AjRbJQah(Z2Cub&gcDaUl?NQQ;RXrCw216iL=59G&Z-U^nXK`M1 z55tp|Gs(1>vbj@D3kCT|ZpiN@Xrk4K8qNQq4J92I*Zcurm7Mp4be!Ohl@a zBw8JqaS`Vw|5JngPU%gXNICJLtyllpn@>HRf;=?0mn(X1D(H;nI&CsTmMP_BF%c5e z-qVxD#m7jBzY4iET|Wb-Z&51>)RRf^BmpZJt^ck&`*aDBPaUZJNc@lt!F5(6Q3b{Q zQWQ^8K?H`T5ED{5e|u<;#q%#F zQ&E4O04~^AVo$P!+$H`#wNJlDgl_-I?f`CW{2oniNBwz7`ychKh}J5+7aV@$tukq? zkxW(j=(vY>2do36dO26f3}3Kl74f39m>yz$imi^>uw7uE!$x=Mb=X6agEuJ*A{ZM^ zoCqYS(_D(|YwF2Afl&)HenD6aG;`7~g=_(dtUXPz*BliOjc@mFB$DYe+uxS@z14%m z#u!Jzxua=|TWbL}HJR<>LvI;}!9+F~i$y?_BmRaPZMVbPa?IA_$Ta_*D$q3kV#0tS8>=U{T zcZ*N5$vlt+&Ki*%WQv5asO)dzAP`47>I(xvnx!OUi{ZmPS?$TgXi^+p>OM9H_tKC&b;2279blon})RN&MVV z8G%WW6K)4(AWQfhg9N_P&HEN1a{p}2C9wxV!C}oUufsn&bMJXQWWtRqrxTQQ$wPzd z4m3L}O5QCPZ3X`Nw?ARMF5(z3dR94Gx1`8GcTU@4-3J_LMyb(CHtVm5qsGM~o|ZmV zhI5K7nrdAa!?=dv+Lhj9g0Y0+KK*}C;J#3j*3(Mg@P`{O+tI@YxD*K*v7wCLc1CpR&Wz2hJqxhK8X==AX&Wo| z8no_Z9RHFoBQQS%gzGLA>Ki}$8)58U(Zd{ZtK#m*d|g^xUXYcIvo*BV7-URBjB7t% zL-6BiA3F=c*wvl@=rOU8lEOX@f`X+fflMD@8Km15$HdJK3Ca3&nZ44S^t&9@jsMv(POuEsfGcabaEdw%X~e3NsdPwe?+vGBAv zcuu*$X=Dd^w_|3Ss%@uKQp$Oo?;^{D$qOS9i@xeA!%|?gKa`}>Wy|Y& zr(Rs{$R)2gw6CMzG;8}3Icvqy<5%^G#-g;e?F^N#=%?*2({Z=NqK!&7zm$ai_Ky(# z>aCq`a@)?#D!2Fm;`|#2qsd9nSsPiPcE>v+p?%pytYYYc-sDl1xm}YDDe!liAcG+b zkrPkW%Sg0EF4yOoIKgOdDHXJBX1{?|XcO6a9|5=pc2oKqo$)Nrchp$Oi5kFvVYHw% ze=4WJ!O)E;$qc7BtC8ZuVBv_SHNP5Io-(un!t|MY2j}-_(J6!= zD9xuYZ9n0iC8}&CxS~Bje)+W9VtqsVk**A@N9Ma7#n$^;}xWd4%F`crtZA9B>|4ARsTi z)X#PBo~6qDV>uhR{aQ+fer0mU6_1IZ!^y{Hj!FL+*qzhNX{}dDZ%(a<( z_IvY%28X{{TRzg6Zt5k9FYsd4Zqr7%Pu#BlZ8o|HO_J2gn0H3+i@|1%N)51oEH&Im z*u4VCI|Mhkzqfk(PnZAag8kp|Ne|wg_Dk0yXWSr59RPveUIQ*{U)9g}!j{JLtk=!} zcQ6kf-Mz0bo832NBctZAmE7k50zJX-od!jLLz2mn&@sDlpj>^w_HIXv=fLW>W#ENN zw&&Xb@A#uK3aC#%{R{Ak0MAs-!8KeI|AUn9>_Fg!useX?Eqnd#A)u}q@VqyE0sQg* zZVjkEepa68H(nA}0_%54Zzw-11c&Z~T27`!kalAPLsmfKK=50t%MDB~YYo62fxFnl zNo1uecpFRbo&GZdB2s*?@AS}a$YD+z08WROKK3Q?t>GZI1|El}81RN=k_}Pk1aGMC z1`)!40zwN;nW{r^AUSEE&=^Rz1Hp$DULYiK>8QIFP@x>S6r2c@eqAB@+mRXF5Qo(@ z`-Zu5Gd2APplUm;1Gu+*DkS5Jyy?IUP!Km>;_J{mvA|qUtTCLl0lQ(B)>7L2o7)(d zuojr%eEQGj1v0I@jA4kwN^lD~28<~p(YrzD%F|k;-?8Co&<3AXT8h76|Qkl zlZB_ieTuLFMj&<}7@x${0qSI*FFODrBbHCvtGRnZX@)(Y#hm0@101~^dYZ!&3cT>p zAORHln&AKuS-CRAK!UMBmJPyPKn3>SVg^mg0PWC$OPDq8+yyI`4=4C{wImB@%MAMz zHZ-qNR2Jg0YAe|{UD^p$rUUasA1TRoRWN(AhBa@oFe!7j%`IBIgrWZ)(_R!VA7<9X3OilD{8d?UZGN9d` zS%b~Mb7|GS*5{k8Q$d<-6A^9?GH_1KK+e+UqNJqNy3mVCAZUNW3%27MJW?ppYQy%G zQQs?xj=;AY94e>yi#PQ!oF+F3Ynpf3`}7&XR=o$+HI|h8YGq~Yt8b4gfGS5tl&WzM zZMtfH$rGCu5_W;AI^fK#pdG-_BueeKY)_^=Aq>-WP+fd$Gcz^K6u+5YSvU~AqlI>~ zG%Uhow+d%fi*us2QfEl%x?K$1WpEny6A)DRpDF=N1pgJEaQsGeW~ThLugAW~$_Tho zt@?vv+tofpmC%(yVU-D$qUdUv+tTjr3eRm56t;X5oDF;x!+;g0WY`c9kk;j>#nMN^gxvR$j(?cQx@jS(k4^t(0BFv@e z?@je{Z<@2=z#-($5LEV;K^tOvv^S55*^ z%qJn2c5Aubnbmp$sRtP>+`xl2WN-JIgoDGXDdwFyB}m=MHjXETWw`L(r-RUDzHU9lp@$z@)C|A=aw_F zS_N!V4S4amQclXyIRq=2UUMb;RUU$F3#kaUYe*`mUH0{#YA(ln9suH}|K0^_Q(hUp z2dLP{E~&x4pdPs zJlMJeC`If0fY-i{60z%rv!aa+$o{6dj`MA~V4~fmV0RLZP-Uq`K1>VUk_YN<#emN& zcsc+PVb7HGLR6_BPy@}Tcgl{oJHJB>{B{gyq({01gE;9s9LIk}k2YLV9sG^op}8g7 zm^&;AVVO@NHq`IP^WqOTU%IkKlN9!6zq1nx4sVd^MMlXHJNu0GY`^;V7N;I7BZ;uELvlzml*|6!`GWE4S@$720;d<*UB{Mb{?PrMux*0EN8VMI1@%RpcSm zIRH|e{sBt-65^W&vB1$V(}_BKUAp?P~295K!Qw3l=XIdCs&7tj6MGcBO9V}4I_$r@X@R{#oOD|@Hq56d*!Gg8*~&!u}uVt+2&)6`(HXZP?!wTq#; zcO)n5)?QX0!iN0))NzO~3j{unaSoe#{)AnE#gzD_>@N&Gd;9OP3r1JK!u{F1FZg4o zes>Ljs~Fr$KKM7mHj?`1oEt+GEl$6{fa2O&%kfKxjX1$3e={N_5V3@QN*;v*mp0?b z6zIIYrPN55OAyv01WIaTfdl9;%|uC`+Pbfwf}mvsxcEfq7}L+Dq>#@pa@9^*Beuo3!Okpc zJem2Gyd7-fd)a6)*z2FASR#V~2xf`Zmo2!4G?Nh{GV|<5i_ud$6#@p{N!2x4*YUA~ zks)CfMTLD%qpJsiE11we20yrCIU0hI*^bf9K-HfU8%4kL512YHKIB^&923M2&TnV5 zlou76cqU4QX!N-p$B?%Sq{i`P)xHZWSN1Hl)P!}uwDiQJP5vU_Ul-hn{OGa`)KCBg zR<1)G*8iiL?~H14YZ?{HQ55h9uQVy55kw#ms`MiWCe#CnN+7gIlO|1iz=B8(hTcU2 z2na}%4i-pW2sJ<=(!>Y>LXm_JAe0-=``!0st$Y66KliScA9>a@d+(V&dry02hGG55 z4o?qKK`~P*?C7_3eLtzFiHiRUrMie^{tLU_@P?WE+GHlHZ`~oCp&!?P^8O#6Bie&5 zoG=Kc_!%?NRH?i3!f~RtU}siBub5{Jm8@yKV$6TJHRp8x^r&+ytt`GyR;n^|dhM2+ zVM$|W2>SGX{;WZxW+W?HkgW1yVuF9@hE=(gF@zqt_JaG!2WmV^2q{$Q%x#z>$1A8L zIgN5|{05Z&a$}VF{Ap9S1B+e8liTJ#)ay0Z`AwhR=?JxM$#Z=9^T9FT2x*~fLi3U2Tcd1h`cDAg>ErzwmP}axvVb?pj z@7{#$T~-bD^VnZldsBS|pfqUTmxGC?7>a?Jlq6_65bg z#(%bIQSIn!kht4Yey4PaV3bHkla9%)Y39fPj4;**?G^0~*s%7$MTN-)*!o@3k@`w% z*nR7`I@Hu|o!(b&C>`OD=Am@0iayRWa)lLy!49wWXNxg1`H@AiGNmd$!tV4*0T)*3 z6h^>?tOzcHn&cCJBPA@`o5o=s+SRZ_xWINTZ5&6=r4xUiPim-$@Uhrhx?M`y?IeDO zb{@Lv3rM|ADyja(!FiRMrk`wdm5jrd}q>c-(qDKv8vA2 z7lkn@+6xZed-Nw#q^k)4R+Atu0hT&({JP>%dn{megFjP~721e13{;WZKAKQI(u$~g zbdRv;w3bv1_2rkUUGa!SdAW zjckMMzik|_3*Zl=O}58uvLCyCX7yH@V|yE#jJ5f%JU${v^Fkuo^@5HVd5jG$d$B@x zHQ^SLXUm3Gc*tH^$e-dbnw?CCOA8i^Bbg^>jv z>pO)iD>#ZC1f{IZ=LkVb_7}t3Yk+A0h`tg>2EgN!mLlflGTZCV@Q62TuUF2IE(a9> zAi_DE?*I@!SB9W?<(VrG{IE&%6-bUk8>YFA9h#R^(fTI}z&&vM9tzD_Zg=vGjt0~_=Lwz-@Q zvA3e6TkMDp2sVwe5v}69hh~QsBe}6dHwt#WWh1(>ySb4KdP)xC%g&v65UXP0Zz}J+ z*ub(=X_u%=WLvrfzE{FFnXC}Wmwo9t!9&*4Nn;uyopYp=u%08C-OX=+BA@nB?3r=& z(~$bXzqt5uKWb^WKWeah7A~t)@*Hgu8UZFx>(Jx-s1o_PHI;X{=Av06&ixwk)#Y13fS}NzT|Y3a2w8p?EF9O?y{!+9Tg2*h zrN02C-r}b}v;mXd)^tMs!SJo7c)y@UU4}S_$7}h18+QA~B5}thaaC`3gpzNd4JrPp z&S?8~Si?HRX;%8X{_Un6dU&vx@GfLYNFvC0<|;-_?*S-hwnn&9fRy9B;|)THlQ4p@ zv71wL_}(Q5&UDPcUN0AF*>D=n0R9j|e|L z^ZS`fs&)>wIA`8kU${8x;I*(sM3;1NxXTg_)H$J5AV8vk5d4+`%e?dL7@&0vdV5*Gi<2uhe~vaT%Q;J?9UCh9l8MFd(L-zIz#G&2F)NnhYxpEaFjB-IDF-ADseqF^dle8|- zh)eW2L43UX>7vJ;7U&9VrVD{F_vPdb=Wzd@^RmNlg-sKc8ec5qyVb-CB(4 z)dSQM15~4g2LRl2WyChB!mfC9SJ6w*u;~fqk4UE!Wkf+1s-34l$y;B8K=-x)`}>|+ zB7j?NVa(xnEpH5sUPOuF1!wUF5<#AWjMIova1AKRBI#MSyL1#QC1J!PQb?7n*!E-4 zt4;;5u&%iY#Qx+0#!n*Ya37MW5>M5#T`3w+Bt5l3SXBRxN8h>oFPspcV`Sw$or`F4 z20Xfj_|rGX-wmCwStb9Owe2#^JYxdCK}h5{>0Zi*sb*zNBWN&bgC^)3w~?Nbe5h{F zfmL>4s^TchI5)Y9m%~-rz;Q3N;#`%co3E|2?vR>d)3l;4p=~eAP1jVM^ZZBj&Vjbh zl;da{ARR$conTvf`fE|RY+^06zMpGEc9uon4>8jn9&7a`-PiOiG$S3v-~B}wQ)?ia zWKY4pa}u0BU44uma|6E}>TE>SxH!;B$aMOw(0bnPGCp)f;yRwyEe$5vw}*M;XJRo^uJbPxn26-t!?YL4Mo{t12b1o0mj z2(GW8yL?gj`-HScINJ-5=s|NLE!Qy29v} zt3j!}hwaxllfQyCGwc-CVP7QVPcQlUu7>q=)!qjWwV~}nAGUtodMEnn#=sqoi%CWl+|R4< zj&VI-CVg@~`2Cm7nWCniud7tW!ALtJtxoF7R;vXzw=mD1372Xhni{o}vl@_l9a`%a zMZx2}s~Q349YS0es~Wr(BNsjP>oU~}XB*ubD2HVy*5Q5DH}E$Xsc{}h_X^$oc)v+K zyG=a4JxlrTZan9FsB04Kt83rBzMX6?x~`$IYMgy!Hv0)fb-v=F$ECoX?tadnyr4(P ze&9r=c{ykt2G_cV4r>6S5>4H5Q)i9(**1C#j^wfR}=>Kvss#g*IaM4$0QWZ^JyFPd&A64CCiQ`aiK7^&Q~yUtUOQ0Z2P56M3B#72mR+Tb2q?h zXUIO|33fKzX%Y75=3)m!x`@$6`#O2?0AaBhxi+>571!3;JlI@*lrQ3-rM(H%e%rO4 zkb7jbW6RqwYDNJ0alLFp{QHG7qm*{$;$~i0WU@o2R^uzPU@c#Hj?OjpB1Y+Fd~FMT zYHL?SM1Sikv6+hA+L((RcG-3iC>wgpz<>@v+N^qye{>6>`gn*hmF72nCNsL+nka|6 z=gS9mfkwEMGq{N7S_j|!mb4?8JFDb{S320lp`w-L{`d0NFRtP)@IaV`>QQQAOv(wX zrq7;rLn4`HvCnqS);#FqpLA?vC07aU!?!aZ*an<$Z<4-y0>W2>lal28Np`jq#ryr+ z&t*}{Zej$45GW-u?ZI)kJyKIJ{F(Fvc}#tuk<-JY5nhS9&&r2N%<|h`4o?f05-!hN zD3z@0dg14kh_t5rB-h^Pf}ZJ>qKnz4&rYTJ-cGCHCy9gXhh^nON#6wzxvU&$rV>|H zCtd-EPhz&ct<3hcG4;9FGr1b-90z~8NBPX2+6VO{o&yp$Y@XiV_Z-*QI<%I!G6w7M zO9{mOBz?Qck~GDMH#mQWGGk{><4js+=!4Yvr%CK#z5ZP#WJOl9dZ8**tzs(XK8FrU8&AtRJhf589@m$_Iwe=F7Lg6xs zR-cJbou_5kUW?S3--1-DXSirPr=Qnbk1|^!hL7`Es>hLG2}8kgp+$_hvF6jRq7jnx zEeMZztHt6pb8U6EjFmUO(`!8Hzos*AeR_ONBSC+bIl%Lz(Fe`lI zS23%?A@XP1Z$Xa_`lUVW9@-qP;mW$EsVX~~I*&4kC%sAKK|8r}x@9f#3-l|dS-`?9 zfI<7AjNXG2fKV+-^s~ijgO2^2FaV08;?njk?e_!8O(~n#bZUlR7gzcDOnwM&T~qAl z9w|5M4d1tY{ff_&nKtQg_ryX>vktnOH#epsO8l&J_OTj28}N|s8|h=5KWFvAqHJTv zjF^d~V!hNr@ImN|XM!R$ix#t2ZlGRs%f_clr_07(5FV4V#e9?Up7FetXZd&*IaN7I z63q{XKKGb7u(Cp~N=SX!x#ul{r{s;Kb(EH?!Or}g)Z3LHJswajoG3BvxTWj@>t<#K zV)xWBEk*gKnmW0VimYZEa;BHInyZ+-xbvVmsJ3J-!$D^A;E~g{;`GFB4@Q!eB3MZ7 z6*B6NFhsTj>PYGl6#8XEKJClxL8@giXNT$9`7m)^=}iQ}%qT6xL1S~FCI^+@4nwuj z*Iz=TrHe~^iAnfpCM#!L#%5h_gdJ!ijZ#%dJ~fYPcoe$k97(;8SL~xf5MLyjJB?&? z7@%3?jD0LaKjE@my?Hn|>|iu_-Iun4Mb|xTGOj9Vc%e9V9wOLl?UVGD&+$E^Qic9z zh!&D``H{Q$EY>S~3&|g{mGmkmozyv}&7}Ju?N@aO|5Ibe0dZ&1`@QS6p>^LsO^8R^ zn>iJ*TP4gAf62l{h%otVrfStcW)vIj=FBI2F|$-(*Z%EA&!tIM*Uo-imF{U zr3RVzQNZDnld*w&_7k#&W3svkmRW>ewUxMnX~D5-`RWf!hs^_(piUE#Rdp9@CC_!O zzZT}ijp5{K9SgIM#~-iVq^I!GC-r5v2YRS}65feS)8&~`&`9MDB2`5abR z>NN|~k zxRa;4=Z6Xj2=6C17lFq8S{#VEnN@OX z%FBp46E*m9hga8@D)FG(F3*bY8KXDqf z*6F1}-G9e(m+-12Y3f@LgBbcbZ;B@T1y-%3a|Q(-xLs|@V6 zBN$cz`LP7-r_hcaosRvO*c$f zYwwAr9Z7v*g+U$};`ZS3Q-9Q4d0q0k6PGyGwByy2G+@K8+uV0N3)s|ta9QS!+T%T6r+GI3HCF3G7-$k3>4C^Y_A%n|oU%-8Iw)}n8k zc8&TxtrdkYgaQVe_I*9j@h7h+-aN&oLASK{E)g7{q|{EWi1Q|^9_s=Iankjv|ftpeoQ96(^hBWkl*G-JAM z|101_U{y7)kooThZm7LY>51wYq@w$Di5LuN1C%o9yJ4w2$|?zbe*3p+SE05((lPO@ zRY($6reibO1+k(bT#E%15Z6njMbN@cx@I@81#dAp7!~KTS26`EQ-%#X zYVyQx?PSxxUTd+k>IGQ)PSZECkw09d_G^#&&tQjCVbf&^*?NPKe`?dcgH?t+W4`HQ?pbOHCT~V-1084-1FG2X080J8Q|n zeWYvnzTF^Qb;~(2O6@}sn3liM7kB$iX42%lR@dF6h&A`0Nz^aL*mDU*qHUa2}F%L*bDMWUDX6?$lKdYh?sJpzn@!d z7EQcY4pR%(t>$xdtpifVITfOeWtG<2XIzDpAkj;M<^l`5E!}eiS4KLFr>LBK;5On==p zEZ3z#f7;*By}NvX7zQPzPl zRw0p>{Rp9`s+a+)C?uNUo+0Eg;58MyaN1yJK%((mpmiq8yL`9Yt;TXN#avhyp?+5p zat`7RLq1Em(@|+=hHKbUWcozr3Q9VB*Zu*l>VC(mF#XJ9exUa@ER*wPhzS)-%kpS` zt1sZ)T05xBv7ntcADBAd{DYCg2Z4rDyhS>!pjael1E7BPDYPq~iKJE9XcjHRhoio_ znZhtu>}$T)3bm>cBO0eP)UO@pWGq_%J^)@Mey*mhHF{LEHFG``q}w!vGu$`{I^qeitsIJ}U|h^a@WuRzlrr zU9l|Sd&`VbKA@yJEq7Z5UMSVva51pa=H!QaP7ti(6;ax*o~3!m1@6Xf3eR_VdZb^G zF0mIwCOEP9>gt+1=Cbu85!4ywO<1)`OTDP{J_D`Z6i5=2xKf%%&RAic^z;lD$0-}qWG*$vbmBYUL#QmH$Uuk^#fwJ@2q8m}{Tb8NB2tk0O1eu(nuYn3bZmj5@k8L{ z#}W5Ouc*!5iTx4J-(RT8XMGMJ49FfUPVfMVt8y%4fMu1o8cmufZuQZ+joucgX8=d% zwL=3G)klwKZF~y#y2=Nhhoe$0pomcO#4|wK#~vFl?>%`N?F=*hTAyb&c{)!{-HC7Q ze`aEne}wk*7$w`g)#O_UcXBv_d(9I^TdtijDKJp~c;6{4=@RQ^bmFQ9BJ8Jl;jPcnlM~SP4XquVs@(3qPLCrMJr;M4DOs^6a_wzlt$G z)xIjp6zBaS(CR}AO?{~JTNcFgx5lYpgI`zS&0kuUWqb?y3#s)YhQAt8Q?TDMni#$H z|4MzMaFCXrB{XXE+Bo4N{9eE`>vTNfcj*%(h7G^>n7t=iKENq<GyuVIN0x<`$cj+ zo1DR?$C4u-!&ps_xOqJ!?|)bMqSk6?6}vXDqiP87jNm^Dl^^iW!=6)mpW9jtj`mnu zpp};7qW3sxR^JP-5P6@YCJLc~5UI%$nd{R;2x4bso-uHiZ{-;F39$rNHN}z)Ke{fg zo#p?O}IXBIA&oXc7u3`K9*xnE~hwZyQ_7z{^2?hl>aUmJ;iHrAsS zY^`$zy*l1p!n+E2;4h`+a(xJFFVZn-KmGLQ@U)StKCnF3Apu#vAF^16)V927ij zYOKjTh#oGyC~IEOL;gV9^2snx)CSrveWW}TQ8#O0?qDR6(o0ViW_araV1$Eh{$}3b zWLG5fLMs6k0V1TMzkPvyRXWKR7^~x2Hl|@>?6@X2&|!lEzLozfwK?N=pSc5we2T#; zj)F*`l-@VZ10x$}P2)rv<0U7WO`QExZok|f4%+R8jaKC}cWnfwTFk$)Rje^SBiF0I zAeI=@Uitj{INwzeA^V5U`p~PmTKDWyTh(6a$@{Z?0Ms|J_V!0Gv)9JPS86^Yxu*0p znH-rx+aurKMp}xZ5XsU(Uv%GRujiY*#`$YwvR(Qp-OW5}hnkB4bK7|B0tSYxZy5oj zA*hkb**3W@m=~Et^Y^R}E_6oE*^_`Nz=w8U*T(9$Ng4w)EBTQ*Q0Oor^Vm^O4g(lH zpHJ9pP0;+P9kpXo1|+XPhugF4s{h7R%OMY)!F-nEJUmOjX|~!Pf$cp1N8nHkq{2y! zd}7XBUa9zqWq)Z*7qKD+IWYT^{}6f1Ic_3s*tEV^XpnqCKT6dnDfu6RnUb9Fn8JVI zLtNK%?U4Bd_Ylz(SBL*^LaBcR+yAc+W>lt_nXw|o7wk>~242r+oQ^uZ8Ze-c$kWpv nI!Cw&K>_~X`UOJ|&ze^nnn;yAFl8leAAuN{-K^GgeDc2lR4zQ+ diff --git a/docs/db.tex b/docs/db.tex index 64da3ee..89c961c 100644 --- a/docs/db.tex +++ b/docs/db.tex @@ -49,15 +49,25 @@ \section{Introduction} +Neural networks are typically trained by gradient descent in weight-space, where the direction of descent minimises some loss function. The backpropagation algorithm \citep{rumelhart1986learning} is a highly efficient method to calculate the partial derivatives of the loss with respect to the network's weights. In consequence, typical neural networks are differentiable functions with weights represented by machine floats. This approach has led to tremendous advances in machine learning. + +However, there are drawbacks. First, we cannot easily learn discrete functions, such as logical predicates. In consequence, interpreting or verifying what a network has learned is difficult. Also, many learning problems naturally arise in boolean rather than real-valued domains. Second, representing weights as machine floats confers the benefit of time-efficient training but at the cost of memory-inefficient trained models. For example, network quantisation techniques (TODO:refs) demonstrate that full 64 of 32-bit precision weights are often unnecessary for a network's predictive performance, although there is a trade-off. + +This paper proposes a new approach to mitigating these drawbacks. The main idea is to define a type of neural network, called a $\partial \mathbb{B}$ net, which has two aspects: a `soft' aspect, which is a differentiable real-valued function trainable by backpropagation, and a `hard' aspect, which is a non-differentiable boolean function. Both aspects are semantically equivalent. We train the `soft' net as normal, using backpropagation, then `harden' the network and its weights to yield a learned boolean function with equivalent predictive performance (see figure \ref{fig:main-idea}). In consequence, interpreting and verifying what a $\partial \mathbb{B}$ net has learned is relatively less difficult. The option to bias towards learning boolean functions will reduce variance in some domains. And boolean-valued, 1-bit weights increase the memory-efficiency of trained models. + +The main contributions of this work are (i) defining novel activation functions that harden to semantically equivalent boolean functions, (ii) defining novel network architectures that effectively learn boolean functions to solve multi-class classification problems, and (iii) experiments that demonstrate $\partial \mathbb{B}$ nets compete with existing approaches in terms of predictive performance yet yield considerably smaller models. + +This paper examines related work (section \ref{sec:related-work}), (ii) etc. + \begin{figure}[h] \centering - \includegraphics[width=0.95\textwidth]{db-net.png} - \caption{{\em Learning discrete boolean-valued functions with a $\partial\mathbb{B}$ net.}} - \label{fig:noisy-xor-architecture} + \includegraphics[width=0.9\textwidth]{db-net.png} + \caption{{\em Learning discrete boolean-valued functions with a $\partial\mathbb{B}$ net.} A $\partial \mathbb{B}$ net specifies (i) a differentiable neural network that is hard-equivalent to (ii) a non-differentiable discrete function. The neural network is trained as normal with backpropagation to yield a set of real weights. The real weights are hardened to boolean values and then bound with the discrete function. The result is a learned discrete function that performs identically to the trained network.} + \label{fig:main-idea} \end{figure} -\section{Related work} +\section{Related work}\label{sec:related-work} \section{$\partial\mathbb{B}$ nets} @@ -66,7 +76,7 @@ \section{$\partial\mathbb{B}$ nets} \end{definition} \begin{definition}[Hardening] -The {\em hardening} function, $h(x_{1}, \dots, x_{n}) = [f(x_{1}), \dots, f(x_{n})]$, converts soft-bits to hard-bits, where +The {\em hardening} function, $\operatorname{harden}(x_{1}, \dots, x_{n}) = [f(x_{1}), \dots, f(x_{n})]$, converts soft-bits to hard-bits, where \begin{equation*} f(x) = \begin{cases} @@ -78,7 +88,10 @@ \section{$\partial\mathbb{B}$ nets} \begin{definition}[Hard-equivalence] A function, $f: [0,1]^n \rightarrow [0,1]^m$, is {\em hard-equivalent} to a boolean function, $g: \{1,0\}^n \rightarrow \{1,0\}^m$, if - $h(f(h({\bf x}))) = g(h({\bf x}))$ for all ${\bf x} \in [0,1]^{n}$. + \begin{equation*} + \operatorname{harden}(f(\operatorname{harden}({\bf x}))) = g(\operatorname{harden}({\bf x})) + \end{equation*} +for all ${\bf x} \in [0,1]^{n}$. \end{definition} \subsection{Differentiable boolean functions} @@ -100,7 +113,7 @@ \subsection{Differentiable boolean functions} Define \begin{equation*} \begin{aligned} -\operatorname{representative-bit}: [0,1]^{n} \times 1,2,\dots,n &\to [0,1],\\ +\operatorname{augmented-bit}: [0,1]^{n} \times 1,2,\dots,n &\to [0,1],\\ ({\bf x}, i) &\mapsto \begin{cases} 1/2 + \operatorname{margin}({\bf x}, i) & \text{if } x_{i} > 1/2 \\ @@ -137,7 +150,7 @@ \subsubsection{And} \begin{equation*} \begin{aligned} \partial\text{AND}: [0,1]^{n} &\to [0,1], \\ -{\bf x} &\mapsto \operatorname{representative-bit}({\bf x}, \operatorname{argmin}\limits_{i} x[i]) +{\bf x} &\mapsto \operatorname{augmented-bit}({\bf x}, \operatorname{argmin}\limits_{i} x[i]) \end{aligned} \end{equation*} $\partial${AND} is hard-equivalent to the boolean function $\bigwedge_{i=1}^{n} x_i$ (proposition \ref{prop:and}). @@ -159,7 +172,7 @@ \subsubsection{Or} \begin{equation*} \begin{aligned} \partial\text{OR}: [0,1]^{n} &\to [0,1], \\ -{\bf x} &\mapsto \operatorname{representative-bit}({\bf x}, \operatorname{argmax}\limits_{i} x[i]) +{\bf x} &\mapsto \operatorname{augmented-bit}({\bf x}, \operatorname{argmax}\limits_{i} x[i]) \end{aligned} \end{equation*} $\partial${OR} is hard-equivalent to the boolean function $\bigvee_{i=1}^{n} x_i$ (proposition \ref{prop:or}). @@ -215,7 +228,7 @@ \subsubsection{Majority} \begin{equation*} \begin{aligned} \partial\text{MAJORITY}: [0,1]^{n} &\to [0,1], \\ - {\bf x} &\mapsto \operatorname{representative-bit}(\operatorname{sort}({\bf x}), \operatorname{majority-index}({\bf x})) + {\bf x} &\mapsto \operatorname{augmented-bit}(\operatorname{sort}({\bf x}), \operatorname{majority-index}({\bf x})) \end{aligned} \end{equation*} \begin{comment} @@ -314,6 +327,16 @@ \subsection{Architectures} todo: multi-label classification +Define +\begin{equation*} +\begin{aligned} +\partial\text{HARDEN}: [0,1]^{n} &\to [0,1]^{n}, \\ +{\bf x} &\mapsto \operatorname{harden}({\bf x})\text{.} +\end{aligned} +\end{equation*} +A $\partial\text{HARDEN}$ layer maps $m$ soft-bit inputs to $n$ hard-bit outputs. The $\operatorname{harden}$ function is not differentiable and therefore we use the straight-through estimator \citep{DBLP:journals/corr/BengioLC13} during backpropagation. + + \section{Experiments} \subsection{Binary Iris} diff --git a/docs/proofs.nb b/docs/proofs.nb index 495733d..e66cf08 100644 --- a/docs/proofs.nb +++ b/docs/proofs.nb @@ -10,10 +10,10 @@ NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 158, 7] -NotebookDataLength[ 2022179, 36352] -NotebookOptionsPosition[ 2008606, 36113] -NotebookOutlinePosition[ 2009252, 36134] -CellTagsIndexPosition[ 2009209, 36131] +NotebookDataLength[ 2025347, 36433] +NotebookOptionsPosition[ 2011543, 36190] +NotebookOutlinePosition[ 2012189, 36211] +CellTagsIndexPosition[ 2012146, 36208] WindowFrame->Normal*) (* Beginning of Notebook Content *) @@ -8753,7 +8753,7 @@ Cell[BoxData[ Cell[BoxData[ TagBox[ StyleBox[ - DynamicModuleBox[{$CellContext`y$$ = 0, Typeset`show$$ = True, + DynamicModuleBox[{$CellContext`y$$ = 0.804, Typeset`show$$ = True, Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = "\"untitled\"", Typeset`specs$$ = {{ @@ -8794,6 +8794,83 @@ Cell[BoxData[ Cell[CellGroupData[{ +Cell[BoxData[ + RowBox[{"Manipulate", "[", + RowBox[{ + RowBox[{"Plot", "[", + RowBox[{ + RowBox[{"{", + RowBox[{ + RowBox[{"and", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", + RowBox[{"Evaluate", "[", + RowBox[{"D", "[", + RowBox[{ + RowBox[{"and", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", "x"}], "]"}], "]"}]}], "}"}], + ",", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"PlotRange", "->", + RowBox[{"{", + RowBox[{ + RowBox[{"{", + RowBox[{"0", ",", "1"}], "}"}], ",", + RowBox[{"{", + RowBox[{"0", ",", "1"}], "}"}]}], "}"}]}], ",", + RowBox[{"GridLines", "->", + RowBox[{"{", + RowBox[{"{", + RowBox[{"1", "/", "2"}], "}"}], "}"}]}]}], "]"}], ",", + RowBox[{"{", + RowBox[{"y", ",", "0", ",", "1"}], "}"}]}], "]"}]], "Input", + CellChangeTimes->{{3.887974436279488*^9, 3.88797447647742*^9}}, + CellLabel-> + "In[740]:=",ExpressionUUID->"20644229-b9cc-4ee6-ac34-775ab6c6b4de"], + +Cell[BoxData[ + TagBox[ + StyleBox[ + DynamicModuleBox[{$CellContext`y$$ = 0, Typeset`show$$ = True, + Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", + Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = + "\"untitled\"", Typeset`specs$$ = {{ + Hold[$CellContext`y$$], 0, 1}}, Typeset`size$$ = { + 360., {113., 116.64199019669311`}}, Typeset`update$$ = 0, + Typeset`initDone$$, Typeset`skipInitDone$$ = True}, + DynamicBox[Manipulate`ManipulateBoxes[ + 1, StandardForm, "Variables" :> {$CellContext`y$$ = 0}, + "ControllerVariables" :> {}, + "OtherVariables" :> { + Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, + Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, + Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, + Typeset`skipInitDone$$}, "Body" :> Plot[{ + $CellContext`and[$CellContext`x, $CellContext`y$$], + Evaluate[ + D[ + $CellContext`and[$CellContext`x, $CellContext`y$$], \ +$CellContext`x]]}, {$CellContext`x, 0, 1}, PlotRange -> {{0, 1}, {0, 1}}, + GridLines -> {{1/2}}], "Specifications" :> {{$CellContext`y$$, 0, 1}}, + "Options" :> {}, "DefaultOptions" :> {}], + ImageSizeCache->{406., {156.6875, 162.3125}}, + SingleEvaluation->True], + Deinitialization:>None, + DynamicModuleValues:>{}, + SynchronousInitialization->True, + UndoTrackedVariables:>{Typeset`show$$, Typeset`bookmarkMode$$}, + UnsavedVariables:>{Typeset`initDone$$}, + UntrackedVariables:>{Typeset`size$$}], "Manipulate", + Deployed->True, + StripOnInput->False], + Manipulate`InterpretManipulate[1]]], "Output", + CellChangeTimes->{{3.887974440513801*^9, 3.8879744772144012`*^9}}, + CellLabel-> + "Out[740]=",ExpressionUUID->"ab9535a8-78bb-42d4-b90b-eb0b95d72893"] +}, Open ]], + +Cell[CellGroupData[{ + Cell[BoxData[{ RowBox[{ RowBox[{"andp1", "=", @@ -36225,132 +36302,136 @@ Cell[469077, 8709, 308, 5, 33, "Output",ExpressionUUID->"fc54d27d-718c-4ecd-ab42 }, Open ]], Cell[CellGroupData[{ Cell[469422, 8719, 1119, 31, 29, "Input",ExpressionUUID->"18072b24-b2f9-4bfb-9ea8-b1301ef21e23"], -Cell[470544, 8752, 1998, 39, 338, "Output",ExpressionUUID->"393d52a1-31a4-45ac-8fa1-71fcc92ba871"] +Cell[470544, 8752, 2002, 39, 338, "Output",ExpressionUUID->"393d52a1-31a4-45ac-8fa1-71fcc92ba871"] +}, Open ]], +Cell[CellGroupData[{ +Cell[472583, 8796, 1057, 32, 29, "Input",ExpressionUUID->"20644229-b9cc-4ee6-ac34-775ab6c6b4de"], +Cell[473643, 8830, 1836, 38, 361, "Output",ExpressionUUID->"ab9535a8-78bb-42d4-b90b-eb0b95d72893"] }, Open ]], Cell[CellGroupData[{ -Cell[472579, 8796, 2740, 71, 115, "Input",ExpressionUUID->"fa1bbf4c-38c7-4a93-bdfd-d8759f5fc390"], -Cell[475322, 8869, 210642, 3647, 244, "Output",ExpressionUUID->"d4e0e698-53bf-4766-b273-880fd78e75ff"] +Cell[475516, 8873, 2740, 71, 115, "Input",ExpressionUUID->"fa1bbf4c-38c7-4a93-bdfd-d8759f5fc390"], +Cell[478259, 8946, 210642, 3647, 244, "Output",ExpressionUUID->"d4e0e698-53bf-4766-b273-880fd78e75ff"] }, Open ]], Cell[CellGroupData[{ -Cell[686001, 12521, 321, 7, 29, "Input",ExpressionUUID->"ea7e77b3-102b-4f2c-bf63-5243a1e3563e"], -Cell[686325, 12530, 232, 4, 33, "Output",ExpressionUUID->"6df01414-c808-42b2-862c-d784b61b909d"] +Cell[688938, 12598, 321, 7, 29, "Input",ExpressionUUID->"ea7e77b3-102b-4f2c-bf63-5243a1e3563e"], +Cell[689262, 12607, 232, 4, 33, "Output",ExpressionUUID->"6df01414-c808-42b2-862c-d784b61b909d"] }, Open ]] }, Open ]], Cell[CellGroupData[{ -Cell[686606, 12540, 198, 4, 67, "Section",ExpressionUUID->"ecbfc1dc-1226-4fd6-8ae9-3eb4d7046417"], -Cell[686807, 12546, 1304, 38, 190, "Input",ExpressionUUID->"9acf8a22-c3d5-4f2b-b139-26e62cb20ce9"], +Cell[689543, 12617, 198, 4, 67, "Section",ExpressionUUID->"ecbfc1dc-1226-4fd6-8ae9-3eb4d7046417"], +Cell[689744, 12623, 1304, 38, 190, "Input",ExpressionUUID->"9acf8a22-c3d5-4f2b-b139-26e62cb20ce9"], Cell[CellGroupData[{ -Cell[688136, 12588, 457, 12, 29, "Input",ExpressionUUID->"cf8760a2-f1e4-4f71-aafa-9ae1073d0041"], -Cell[688596, 12602, 337, 8, 48, "Output",ExpressionUUID->"f9834aec-fdd4-4450-8f93-a6721003e5ba"] +Cell[691073, 12665, 457, 12, 29, "Input",ExpressionUUID->"cf8760a2-f1e4-4f71-aafa-9ae1073d0041"], +Cell[691533, 12679, 337, 8, 48, "Output",ExpressionUUID->"f9834aec-fdd4-4450-8f93-a6721003e5ba"] }, Open ]], Cell[CellGroupData[{ -Cell[688970, 12615, 386, 9, 29, "Input",ExpressionUUID->"eeedfba2-7110-4292-8326-a30cc8db93a7"], -Cell[689359, 12626, 1859, 58, 145, "Output",ExpressionUUID->"fb084e5c-4c14-4eeb-86cf-fb7e19c7f64d"] +Cell[691907, 12692, 386, 9, 29, "Input",ExpressionUUID->"eeedfba2-7110-4292-8326-a30cc8db93a7"], +Cell[692296, 12703, 1859, 58, 145, "Output",ExpressionUUID->"fb084e5c-4c14-4eeb-86cf-fb7e19c7f64d"] }, Open ]] }, Open ]], Cell[CellGroupData[{ -Cell[691267, 12690, 247, 4, 67, "Section",ExpressionUUID->"f6f41491-9ba0-4ac4-9212-66ffb62e74c2"], -Cell[691517, 12696, 1499, 40, 116, "Input",ExpressionUUID->"7e80ece4-73c0-48c2-aead-66a01af51155"], +Cell[694204, 12767, 247, 4, 67, "Section",ExpressionUUID->"f6f41491-9ba0-4ac4-9212-66ffb62e74c2"], +Cell[694454, 12773, 1499, 40, 116, "Input",ExpressionUUID->"7e80ece4-73c0-48c2-aead-66a01af51155"], Cell[CellGroupData[{ -Cell[693041, 12740, 618, 17, 29, "Input",ExpressionUUID->"06b1f54c-39c2-45af-9119-086937f3ff22"], -Cell[693662, 12759, 355, 7, 48, "Output",ExpressionUUID->"6d4584eb-85c3-475d-b249-976b7184a2dc"] +Cell[695978, 12817, 618, 17, 29, "Input",ExpressionUUID->"06b1f54c-39c2-45af-9119-086937f3ff22"], +Cell[696599, 12836, 355, 7, 48, "Output",ExpressionUUID->"6d4584eb-85c3-475d-b249-976b7184a2dc"] }, Open ]], Cell[CellGroupData[{ -Cell[694054, 12771, 656, 17, 29, "Input",ExpressionUUID->"bbbcf283-feeb-4018-be79-956830d340bd"], -Cell[694713, 12790, 379, 9, 49, "Output",ExpressionUUID->"e6d7d0cc-0538-465d-afa3-325a7ea9d664"] +Cell[696991, 12848, 656, 17, 29, "Input",ExpressionUUID->"bbbcf283-feeb-4018-be79-956830d340bd"], +Cell[697650, 12867, 379, 9, 49, "Output",ExpressionUUID->"e6d7d0cc-0538-465d-afa3-325a7ea9d664"] }, Open ]], Cell[CellGroupData[{ -Cell[695129, 12804, 654, 17, 29, "Input",ExpressionUUID->"71f37cfa-981b-40e5-a0d8-fa74a7eec67a"], -Cell[695786, 12823, 354, 8, 49, "Output",ExpressionUUID->"1bb20ed2-55c8-4373-915f-76acf184d84a"] +Cell[698066, 12881, 654, 17, 29, "Input",ExpressionUUID->"71f37cfa-981b-40e5-a0d8-fa74a7eec67a"], +Cell[698723, 12900, 354, 8, 49, "Output",ExpressionUUID->"1bb20ed2-55c8-4373-915f-76acf184d84a"] }, Open ]], Cell[CellGroupData[{ -Cell[696177, 12836, 433, 10, 29, "Input",ExpressionUUID->"ee399cf7-6108-4634-8c8a-57cecc449dca"], -Cell[696613, 12848, 3917, 117, 145, "Output",ExpressionUUID->"9323c79e-d618-4f67-94d6-c8574f2b049b"] +Cell[699114, 12913, 433, 10, 29, "Input",ExpressionUUID->"ee399cf7-6108-4634-8c8a-57cecc449dca"], +Cell[699550, 12925, 3917, 117, 145, "Output",ExpressionUUID->"9323c79e-d618-4f67-94d6-c8574f2b049b"] }, Open ]], Cell[CellGroupData[{ -Cell[700567, 12970, 355, 8, 29, "Input",ExpressionUUID->"fdaf3a05-03b7-4f3d-93ab-0ab35ed7d368"], -Cell[700925, 12980, 3335, 99, 119, "Output",ExpressionUUID->"46acf535-5b79-46d7-b12d-60f829e69e5f"] +Cell[703504, 13047, 355, 8, 29, "Input",ExpressionUUID->"fdaf3a05-03b7-4f3d-93ab-0ab35ed7d368"], +Cell[703862, 13057, 3335, 99, 119, "Output",ExpressionUUID->"46acf535-5b79-46d7-b12d-60f829e69e5f"] }, Open ]], -Cell[704275, 13082, 245, 4, 35, "Text",ExpressionUUID->"4cd6585f-4582-4207-97b3-fd61d0222d49"], +Cell[707212, 13159, 245, 4, 35, "Text",ExpressionUUID->"4cd6585f-4582-4207-97b3-fd61d0222d49"], Cell[CellGroupData[{ -Cell[704545, 13090, 1064, 30, 29, "Input",ExpressionUUID->"0fed3588-9948-4295-8866-b6cc4c9afeac"], -Cell[705612, 13122, 1851, 36, 338, "Output",ExpressionUUID->"ef95a981-1be9-4bf0-8a03-30d7e9a378a0"] +Cell[707482, 13167, 1064, 30, 29, "Input",ExpressionUUID->"0fed3588-9948-4295-8866-b6cc4c9afeac"], +Cell[708549, 13199, 1851, 36, 338, "Output",ExpressionUUID->"ef95a981-1be9-4bf0-8a03-30d7e9a378a0"] }, Open ]], Cell[CellGroupData[{ -Cell[707500, 13163, 2654, 68, 117, "Input",ExpressionUUID->"369ed30d-1130-482c-8a48-d10d19130428"], -Cell[710157, 13233, 205876, 3581, 226, "Output",ExpressionUUID->"31a00c43-326a-4880-8e1b-72ee0dfa92ed"] +Cell[710437, 13240, 2654, 68, 117, "Input",ExpressionUUID->"369ed30d-1130-482c-8a48-d10d19130428"], +Cell[713094, 13310, 205876, 3581, 226, "Output",ExpressionUUID->"31a00c43-326a-4880-8e1b-72ee0dfa92ed"] }, Open ]] }, Open ]], Cell[CellGroupData[{ -Cell[916082, 16820, 301, 5, 67, "Section",ExpressionUUID->"08d7ae6b-0058-465e-9ea0-e74ff879f4c9"], -Cell[916386, 16827, 413, 11, 29, "Input",ExpressionUUID->"1e450851-7f18-4882-80dc-72864ff1825b"], -Cell[916802, 16840, 349, 9, 29, "Input",ExpressionUUID->"feed4e75-024e-498d-9b6a-b3dc2b4b8324"], +Cell[919019, 16897, 301, 5, 67, "Section",ExpressionUUID->"08d7ae6b-0058-465e-9ea0-e74ff879f4c9"], +Cell[919323, 16904, 413, 11, 29, "Input",ExpressionUUID->"1e450851-7f18-4882-80dc-72864ff1825b"], +Cell[919739, 16917, 349, 9, 29, "Input",ExpressionUUID->"feed4e75-024e-498d-9b6a-b3dc2b4b8324"], Cell[CellGroupData[{ -Cell[917176, 16853, 456, 13, 29, "Input",ExpressionUUID->"95b224d9-5f9f-4624-90e0-7346d96f9785"], -Cell[917635, 16868, 363, 9, 48, "Output",ExpressionUUID->"115f6b57-d08d-4506-ba81-4327af00c4e5"] +Cell[920113, 16930, 456, 13, 29, "Input",ExpressionUUID->"95b224d9-5f9f-4624-90e0-7346d96f9785"], +Cell[920572, 16945, 363, 9, 48, "Output",ExpressionUUID->"115f6b57-d08d-4506-ba81-4327af00c4e5"] }, Open ]], Cell[CellGroupData[{ -Cell[918035, 16882, 395, 10, 29, "Input",ExpressionUUID->"c81dbb03-8f38-4b82-b876-02b9784aedad"], -Cell[918433, 16894, 1869, 58, 145, "Output",ExpressionUUID->"81c62b9d-f44f-4932-b262-32b066c47509"] +Cell[920972, 16959, 395, 10, 29, "Input",ExpressionUUID->"c81dbb03-8f38-4b82-b876-02b9784aedad"], +Cell[921370, 16971, 1869, 58, 145, "Output",ExpressionUUID->"81c62b9d-f44f-4932-b262-32b066c47509"] }, Open ]], Cell[CellGroupData[{ -Cell[920339, 16957, 422, 11, 29, "Input",ExpressionUUID->"46317eaf-a9d8-46b1-8125-7624a334afb9"], -Cell[920764, 16970, 1831, 58, 145, "Output",ExpressionUUID->"5a4852db-99b5-478f-8fab-ac3a4e740c23"] +Cell[923276, 17034, 422, 11, 29, "Input",ExpressionUUID->"46317eaf-a9d8-46b1-8125-7624a334afb9"], +Cell[923701, 17047, 1831, 58, 145, "Output",ExpressionUUID->"5a4852db-99b5-478f-8fab-ac3a4e740c23"] }, Open ]], Cell[CellGroupData[{ -Cell[922632, 17033, 2710, 71, 138, "Input",ExpressionUUID->"9c3d75a5-6f6b-428a-ab36-b4310252f443"], -Cell[925345, 17106, 195732, 3406, 226, "Output",ExpressionUUID->"c3b91e04-bb87-4fb0-857d-3c7cdc7e99d0"] +Cell[925569, 17110, 2710, 71, 138, "Input",ExpressionUUID->"9c3d75a5-6f6b-428a-ab36-b4310252f443"], +Cell[928282, 17183, 195732, 3406, 226, "Output",ExpressionUUID->"c3b91e04-bb87-4fb0-857d-3c7cdc7e99d0"] }, Open ]], Cell[CellGroupData[{ -Cell[1121114, 20517, 1930, 47, 92, "Input",ExpressionUUID->"fd14bacd-dcf1-4542-8962-7b9ff7627e9f"], -Cell[1123047, 20566, 871153, 15117, 461, "Output",ExpressionUUID->"9fa0f4d7-295f-46f5-ba72-ee0eb961aece"] +Cell[1124051, 20594, 1930, 47, 92, "Input",ExpressionUUID->"fd14bacd-dcf1-4542-8962-7b9ff7627e9f"], +Cell[1125984, 20643, 871153, 15117, 461, "Output",ExpressionUUID->"9fa0f4d7-295f-46f5-ba72-ee0eb961aece"] }, Open ]], Cell[CellGroupData[{ -Cell[1994237, 35688, 378, 8, 29, "Input",ExpressionUUID->"ee322603-0e21-4680-8326-d8847371a35b"], -Cell[1994618, 35698, 427, 7, 33, "Output",ExpressionUUID->"e081bf19-2164-4c30-95bd-ef3945ad846a"] +Cell[1997174, 35765, 378, 8, 29, "Input",ExpressionUUID->"ee322603-0e21-4680-8326-d8847371a35b"], +Cell[1997555, 35775, 427, 7, 33, "Output",ExpressionUUID->"e081bf19-2164-4c30-95bd-ef3945ad846a"] }, Open ]], Cell[CellGroupData[{ -Cell[1995082, 35710, 439, 12, 29, "Input",ExpressionUUID->"6117421c-1725-4a44-a308-4c6ee35079fa"], -Cell[1995524, 35724, 2860, 83, 51, "Output",ExpressionUUID->"6d79502e-1b30-48ce-ae82-85f0106dedfe"] +Cell[1998019, 35787, 439, 12, 29, "Input",ExpressionUUID->"6117421c-1725-4a44-a308-4c6ee35079fa"], +Cell[1998461, 35801, 2860, 83, 51, "Output",ExpressionUUID->"6d79502e-1b30-48ce-ae82-85f0106dedfe"] }, Open ]], Cell[CellGroupData[{ -Cell[1998421, 35812, 529, 16, 29, "Input",ExpressionUUID->"0180a005-2b55-4374-98ff-72ffa5f3ea39"], -Cell[1998953, 35830, 229, 5, 33, "Output",ExpressionUUID->"f39b3814-7e7d-4667-905d-452e2fc08221"] +Cell[2001358, 35889, 529, 16, 29, "Input",ExpressionUUID->"0180a005-2b55-4374-98ff-72ffa5f3ea39"], +Cell[2001890, 35907, 229, 5, 33, "Output",ExpressionUUID->"f39b3814-7e7d-4667-905d-452e2fc08221"] }, Open ]] }, Open ]], Cell[CellGroupData[{ -Cell[1999231, 35841, 304, 5, 67, "Section",ExpressionUUID->"a2621df0-19eb-4035-9863-1066a5a6bf87"], -Cell[1999538, 35848, 415, 10, 29, "Input",ExpressionUUID->"437e01ba-cd55-49ca-a556-5d88d6fc10bb"], -Cell[1999956, 35860, 390, 10, 29, "Input",ExpressionUUID->"b7a31ca1-15c0-40a5-9f4e-43284320dd04"], +Cell[2002168, 35918, 304, 5, 67, "Section",ExpressionUUID->"a2621df0-19eb-4035-9863-1066a5a6bf87"], +Cell[2002475, 35925, 415, 10, 29, "Input",ExpressionUUID->"437e01ba-cd55-49ca-a556-5d88d6fc10bb"], +Cell[2002893, 35937, 390, 10, 29, "Input",ExpressionUUID->"b7a31ca1-15c0-40a5-9f4e-43284320dd04"], Cell[CellGroupData[{ -Cell[2000371, 35874, 678, 17, 29, "Input",ExpressionUUID->"4f3dcd3c-2373-40af-a787-50388713cf17"], -Cell[2001052, 35893, 387, 7, 33, "Output",ExpressionUUID->"e4057dd4-a9e2-4aaa-8ac6-b08504a7724c"] +Cell[2003308, 35951, 678, 17, 29, "Input",ExpressionUUID->"4f3dcd3c-2373-40af-a787-50388713cf17"], +Cell[2003989, 35970, 387, 7, 33, "Output",ExpressionUUID->"e4057dd4-a9e2-4aaa-8ac6-b08504a7724c"] }, Open ]], -Cell[2001454, 35903, 633, 15, 29, "Input",ExpressionUUID->"bb6986dd-8362-42aa-aad5-333d0c1082e6"], +Cell[2004391, 35980, 633, 15, 29, "Input",ExpressionUUID->"bb6986dd-8362-42aa-aad5-333d0c1082e6"], Cell[CellGroupData[{ -Cell[2002112, 35922, 853, 22, 29, "Input",ExpressionUUID->"7db43080-9ab1-4290-93db-c9b56436514c"], -Cell[2002968, 35946, 369, 7, 33, "Output",ExpressionUUID->"9044b04f-0dd0-464d-a640-547c7893b1b8"] +Cell[2005049, 35999, 853, 22, 29, "Input",ExpressionUUID->"7db43080-9ab1-4290-93db-c9b56436514c"], +Cell[2005905, 36023, 369, 7, 33, "Output",ExpressionUUID->"9044b04f-0dd0-464d-a640-547c7893b1b8"] }, Open ]], -Cell[2003352, 35956, 1389, 34, 174, "Input",ExpressionUUID->"bb6002fe-d7c3-4fb1-a29a-118c82683476"], -Cell[2004744, 35992, 245, 6, 29, "Input",ExpressionUUID->"f35bb5a9-adef-4180-b999-b1afb70800d2"], +Cell[2006289, 36033, 1389, 34, 174, "Input",ExpressionUUID->"bb6002fe-d7c3-4fb1-a29a-118c82683476"], +Cell[2007681, 36069, 245, 6, 29, "Input",ExpressionUUID->"f35bb5a9-adef-4180-b999-b1afb70800d2"], Cell[CellGroupData[{ -Cell[2005014, 36002, 349, 7, 29, "Input",ExpressionUUID->"e532dacd-01fb-468d-ae36-06efd08543a8"], -Cell[2005366, 36011, 232, 3, 33, "Output",ExpressionUUID->"89a8937a-f452-4dbb-97c6-f1d90d5bd7fb"] +Cell[2007951, 36079, 349, 7, 29, "Input",ExpressionUUID->"e532dacd-01fb-468d-ae36-06efd08543a8"], +Cell[2008303, 36088, 232, 3, 33, "Output",ExpressionUUID->"89a8937a-f452-4dbb-97c6-f1d90d5bd7fb"] }, Open ]], Cell[CellGroupData[{ -Cell[2005635, 36019, 299, 6, 29, "Input",ExpressionUUID->"f3e6d89f-052f-497d-8b0a-0ec2990e0a13"], -Cell[2005937, 36027, 193, 2, 33, "Output",ExpressionUUID->"11fde88c-3680-487f-8cc8-8ce3898463ec"] +Cell[2008572, 36096, 299, 6, 29, "Input",ExpressionUUID->"f3e6d89f-052f-497d-8b0a-0ec2990e0a13"], +Cell[2008874, 36104, 193, 2, 33, "Output",ExpressionUUID->"11fde88c-3680-487f-8cc8-8ce3898463ec"] }, Open ]], Cell[CellGroupData[{ -Cell[2006167, 36034, 292, 6, 29, "Input",ExpressionUUID->"c241e109-42ef-4883-b6e8-1780ec6b05b4"], -Cell[2006462, 36042, 882, 27, 48, "Output",ExpressionUUID->"50eb511a-9847-42a4-8494-fee60ba8c6be"] +Cell[2009104, 36111, 292, 6, 29, "Input",ExpressionUUID->"c241e109-42ef-4883-b6e8-1780ec6b05b4"], +Cell[2009399, 36119, 882, 27, 48, "Output",ExpressionUUID->"50eb511a-9847-42a4-8494-fee60ba8c6be"] }, Open ]] }, Open ]], Cell[CellGroupData[{ -Cell[2007393, 36075, 350, 6, 67, "Section",ExpressionUUID->"879d6753-9dbc-4031-a5f7-18742ca43f86"], +Cell[2010330, 36152, 350, 6, 67, "Section",ExpressionUUID->"879d6753-9dbc-4031-a5f7-18742ca43f86"], Cell[CellGroupData[{ -Cell[2007768, 36085, 336, 8, 29, "Input",ExpressionUUID->"c95211e6-c360-4289-bcdc-e287e518df22"], -Cell[2008107, 36095, 459, 13, 33, "Output",ExpressionUUID->"9ad462b9-141f-41b0-b6e2-46866aebb70f"] +Cell[2010705, 36162, 336, 8, 29, "Input",ExpressionUUID->"c95211e6-c360-4289-bcdc-e287e518df22"], +Cell[2011044, 36172, 459, 13, 33, "Output",ExpressionUUID->"9ad462b9-141f-41b0-b6e2-46866aebb70f"] }, Open ]] }, Open ]] }, Open ]] From f83190c9cd06422527583412287c310dd6cfe316 Mon Sep 17 00:00:00 2001 From: Ian Wright Date: Fri, 17 Mar 2023 16:55:30 +0000 Subject: [PATCH 060/128] more --- docs/db.tex | 11 +- docs/logic-gates.png | Bin 238237 -> 251887 bytes docs/proofs.nb | 40300 +++++++++++++++++++++++++++++++++++++---- 3 files changed, 36732 insertions(+), 3579 deletions(-) diff --git a/docs/db.tex b/docs/db.tex index 89c961c..d9c1d53 100644 --- a/docs/db.tex +++ b/docs/db.tex @@ -55,7 +55,7 @@ \section{Introduction} This paper proposes a new approach to mitigating these drawbacks. The main idea is to define a type of neural network, called a $\partial \mathbb{B}$ net, which has two aspects: a `soft' aspect, which is a differentiable real-valued function trainable by backpropagation, and a `hard' aspect, which is a non-differentiable boolean function. Both aspects are semantically equivalent. We train the `soft' net as normal, using backpropagation, then `harden' the network and its weights to yield a learned boolean function with equivalent predictive performance (see figure \ref{fig:main-idea}). In consequence, interpreting and verifying what a $\partial \mathbb{B}$ net has learned is relatively less difficult. The option to bias towards learning boolean functions will reduce variance in some domains. And boolean-valued, 1-bit weights increase the memory-efficiency of trained models. -The main contributions of this work are (i) defining novel activation functions that harden to semantically equivalent boolean functions, (ii) defining novel network architectures that effectively learn boolean functions to solve multi-class classification problems, and (iii) experiments that demonstrate $\partial \mathbb{B}$ nets compete with existing approaches in terms of predictive performance yet yield considerably smaller models. +The main contributions of this work are (i) defining novel activation functions that `harden' to semantically equivalent boolean functions, (ii) defining novel network architectures to effectively learn boolean functions that solve multi-class classification problems, and (iii) experiments that demonstrate $\partial \mathbb{B}$ nets compete with existing approaches in terms of predictive performance yet yield considerably smaller models. This paper examines related work (section \ref{sec:related-work}), (ii) etc. @@ -216,6 +216,14 @@ \subsubsection{Implies} \subsubsection{Majority} +\begin{figure}[t] + \centering + \includegraphics[trim=0pt 0pt 0pt 0pt, clip, width=0.975\textwidth]{majority-gates.png} + \caption{{\em Majority.}} + \label{fig:majority-plot} +\end{figure} + + Define $\operatorname{majority-index}: \mathbb{Z}_{>0} \to \mathbb{Z}_{> 0}$ as $n \mapsto 1 + \lfloor \frac{n-1}{2}\rfloor$. %Define $\operatorname{select}: [0,1]^n \times {1, 2, \ldots, n} \to [0,1]$ as $({\bf x}, i) \mapsto x_{i}$. @@ -379,6 +387,7 @@ \subsection{MNIST} \section{Conclusion} +TODO: we can write boolean functions, soften them, and place them within differentiable neural networks. \subsubsection*{Acknowledgments} Use unnumbered third level headings for the acknowledgments. All diff --git a/docs/logic-gates.png b/docs/logic-gates.png index fffe6afc370bce4ef05176f925180d8b180b867b..f8ad29acc55df576b6ebc3c8852036631a26a2e3 100644 GIT binary patch literal 251887 zcmb^Zc{rAB_dX7vq|iiEO2S2kC_<81LWT?}W2Od)L?rW6DKwdf$dDoPkc!Nj4N0bG zkjk7fW9D~1-S_kTJfC-a|M83DCJF-xES?Q>#mK* ztWP^Wa&B3rYBo}@-QWCbG{08+RrG_X($NF=2hTA6+03*fQMuvf<>0Z&%L&Up?=R;~ z$@O2IVwznxfAjg4rNIeH$D%c+%)6@B9(VY9QT*_}uWwTXU8AMHyyvFKvaXU@h-a^% zdApTQRVHNPy_m)x-6z=sr;~seNKnA`+Y;2c*RJ zNr_4J?Xr485S)aX(xDTs4~9CdEH<~Y&-{5ZAiFE&SS%Zue}=ynt)iyx{ScR>n-MNVTPPqeZ=R#S zj#5@u_E(vj_=;c=hVl%zRqeQf`5aT>Sj!KV=&!(g_Ra4K$|-nr^h! zb9Z-FQMt*OehC}lJ5W$i(A3oA$N2N-Px64~6iP`{ zltGU1vlJeuLE^oju&{kg`Z3(4qM~A=ufd>%?Y8?sYLxNQ^AtbVzBm`H2L~TIN&Y)M zcPOG%7G^k1`{>clie*!uPF}rw6%%o64CxTQl{ZoaMRP_o1WG zr;_nk`ONnn($2P1zgzdZIsH2jOQo~aRVMe?Bn!^G+eq;X3Tp79XWnyJ=dQ{Vw~1cy z3!m6zT=Uxl^B+8T;66Ph>Amoma`>iUuZWkn{GwCrfs0!4GWYM_pKUzC;Wb{vxAh?Z zKiBmgKYdz==oPj9E|VeRz2M5h!Lg3bq3=VSX3T!KpEp>hhrb#$T|c~b-8z@i@3OY- z`CIoI4}C3apw^?O@M_2J5s%z^GBPH{=KghR-<;~|>hs^r+`8W0-63JO(BQLle87<) zQV(AFeWGjmbD7)a?L~84LGs->-m^U{PxR>s!a|gbnK%cVbdwC;CheSE%#fy^#dkEC zam$t~v*VU-50jJ6EY3~!L~Yn{prtZrmz-P$#*tS(ZG7s~!{WLfQcmfmrKOBq!os7m z_7x&CKZ&YB+i%bRyu7h4aOKnKJwJ@8kI1DXERJUB=d4}3HpSaxcD%>(n+;~YiPvR> z+-O$y#uS3^tqC|v&{351^*?PmZh7|X=8m7CJQ^t~N=iy~k$X3MZ?$=5TI#HqaY7)X zwx(vF{qY%|Es+Tco!LfW)|yyQJoRQ%K5p)0gFG|bD>TaKcZ)SgI+W zcd{4Warjhw#7n#6{*mo0b8CL_;*hahcXh~HgEhXH$=8w{BGkpP;MO-Vs*W_RFVF zCzZX-%B!$hplvU8vA5PVFlc-F^l6fy=knsr`1g(MGUq+*eJjGlH)m+Ho!_tCb}dr~ z{!i-#oSKkXnc^u?^rwgGLEOMU&`KZ|NUF_oN-Peo^CvWp-Xys>=i># z$H>#wX2@%+sU0iXnwXUQN7`lNpp=w)U8m3TqAo*`_oBO-ygvg+*K{-gg_TuWDLioTFc|^@QY{7}q@x`HJ={`&l)yC3_q^ zJUu;A*$jTqVzP~Y*G`V*Q*?de!^3w8{}f^-B1Vfky~FaH0`A<|;~ZCVWw4e(QCn3t zn8Pz^^zWap@u_v!*K8o&n=i(mH7ZVkS-Q#$^j!|AafFH-dn+O(v1y$dQj->B%m zeaDWIle#^yqe7cjbsG$>qdJGOd-v}7nbD{(nBTF93BeMr(eLFw)-MWeKkM4uAS`Z} zn3#OZGavo+i_5RNu5O3Cw`XI8h?v;rU#|morT6cjye(X@uc85qsc-Ytx>@BnUqgbt zeYd++g! zSm~Z8uGeW9oE;rQznmS{UyZ`4Kp-l(e^6_eCw?XWtq;^7q%|7Nyde?S3ce?&kIk&z#a~=GL=i zmgZBE^6jOidHY2d?5*bxT`86CUc7iAXpp<7#D5j-M$f5M1Km;#aejKZxzgqJbG~@j zUmqVH#sh?!2^r@9z}&AHtWFNbj)5zRdYYvfd!R-;R(OEH6Sw~Q)SCO*nKNhV40jQR zu>k>evroSy_$(Ri-*jKjYYy@G1|#CrU|U|4@OD9cGqZS4=I@gO%^s8elxI_EzXjAs z9^7D*U;2ASEh|pW%Xs4nl_2)L<{LH;!6z>5mpk>6Cc~kpHi8WP)mQC0EB2aqPmb3K z*VQ5HcgOp{tlnrv3Vwd>klb>~!C|||X(j7~^~BIOI2*lWl?@rP4!@Kn9fM7Z9WAGa zKI@iRHN=PUY3GJt&oz4T$mq#AMY=dG35Q>=@l4x|?z6KWs8<`HCJb*>SF3hCuB6J* z&+>U&>$`9_{mS5{Ic*bR8$5D-tc13vbjB@y8Utiy( z*oFs^$J3hWDc7!DJALMitc*qNvhu7}n;lUE+*macjWNsz0U%$UEhDi@%mlg1f zmi2HxapD9vM@rH3NXLA=M5pR7!g^H8#ae94rT#{4GT>@EIX%_S>L_)|V?5pbNb@#} zaHQ28k+GKJ+Bf|CzLi|jpnHsG#CSHB#(a}pM=|sK^TyFjg-GWT5M>Rzbqk@V#AmsJ z@pMPYl{l#@0t5Uz4%h~ds5?13ALtME->_r)t9>Osg&m6M zEKeODAD?EqJw*EkAD?CHpaTK|>U3n7mgw|6&h9tpRPv|moyMjc2u5F?UC?O`7H zb-Jb{PPe|D);|N8`MOUYG^05pW~mX{yVS zJKK&8_0~lRM+q+UM48tvZ@OCh?#WS$4U?l^=ZA|rQ*O+;TqT{ja*?RxLo2u9=g)_} zmzSoD_y0U4=o(2+JdwWKd*@p&VtU3P?8W_K;vroRpg}&Z2mJi}+a&BvfJIg??D(#_ zHQn?fvEmmFxKExBTNf{N#pcqb{FYD4Z}~&)AE{|+2|2%{TFi>Rt6lo}srB(T$7yKVDo{Q&XFhrX@DlbvHi$7;7oW&3!mNwyg>goSB(6d(+1Z+~ z>%;Ajxg{iu`q{hxI4dY9s4=M1_zIl=^Xtv{77f7k_qDYp&ciV>dT-N@CBK(#h%nA! z-+vyS%>R~G6gzw2?P?kYp0LVI^b|!!#oB_JTU!LFSFO6ic;m(mY~=a2$|WA2wfFAb zgIV)CpWb>`g_(tg?-^-2w>A$A4eil>y#T<$RY1*lC3Pm|bFcsa6931NX%(($a3+$Q3L5$~P1JaY|>!UL4C@o`L{{LHt@$}9e& zrTW8%PnAI?juX9_v-EG1Rqlog8?GT-Jv{P^o~XpQ48oh(SIj<=;W5C5MZh?BmDTa` z<>aKK6iJWUN&fzKe;M%-0-u3Qx}A}f)E1~&Sp2|%*8s!$9R##2zTB76^TeuQ1he=! z_Vv4WR+g4(!?(->0dU2AmOLr17w2c}zdhfybt`Y>7FO0T4-eB0G%N?nFFgm)TC`SJ zUYO9HorrYba@oQn(cj;Hzh|-gl+Ef3YY5AX6PbYhz@}%Lly zjvOg1De3L&TSqCh>#*6kcL_N_s;B9tHcn!5W4Xr+R`p^{D32oDtOKt=gw61mXYk;H z&S4Gm%QCXE<-h#n4_y3W?z70_hc&r(=Z?&!9}1ZM4WAxjmbnm@YbKW`S&MhoS0x_0 zj-)DCUiecO{7#rlOnt~#V5v#q6ld{g#=}2;aLR^{ zBQ2N<31mF|ckHL`+0gKCr^)_CV4zz28Uqn&DXDv`;Zy6*z3}IV+gfUh(!T(u_bUq#uIzTCtKihDo0@S_;(~%2$&E-_jx8Gz$Dh~hXTJo)x37U2Ry(5(D+qP-Y?0}gAx zDOF=U6c}~7zcD#w3aN<6?spx97r$bb+-62hDN0DT0oWLJN~OqCieXFjWabyKM_T%% zT^$3h&}~2@8XB5v;i$bQdF3w`qywj_-~IOOTXm@BgM-JupGBh0lXC#;vRinQVoGZ2 zcD4)sA0Lj#@c@5CM6qn%Z2P%D*=7cT6WA@)TSfA4sC@_(5qki+XuPaPtuUa&-i9>W zZ<%^oDL0)?1}>d+yym#Pw1~7g{HZ?-v&JQ|-{pg%z1CTv{Pgtnf|gYTf7^MJ-hqML z4H4!}c0z7yGb0^6^jmI+TG`dq);1*+_aI)4N9Zd3AawS)xXd7Ts1sgXSdg3R=U&HF zbgn)|esMC4?P|)SM}RLAwGo1AvKn8#+PdjJk$x75zTIHMDZNbW(BJR20MYF)aD3db zA#1bpj7gf-PPco#;02CV*iQmjYiMdle6d_uC2TI3vwR%XNJLDGKtm^&pJ9<*oKt7H z!<><7O}Du2GeM|?U)Z0kUC}YN zFgwAg9UmUmS?Z!KC#^sEVsviJ`fZ%%7gCq~1Qt)0n7jVGA^K?*p;r%#(>e-;)2tmAx$Nke zay_I3bQO>xy)3D(dKcQ65Rj&)?p8P4*uH7W0gJ_2R`T zfGOpMyC45q(tS6Qle>;APrMgv=&wxWSktfFWce+8_i?-LWxM^xCMU!BXrhtts5LAE zTfJ~}a8T3Gs1tfYLLALpvvT966~AF0u-n-?2T`x~_=JX44=5)hVDH#E5?wE8&hde;5v?TPN~`KNR%Gnd2vCdEkDe@{_k z&e(f|cYO5)@ED%IGtz1&)riDe!O`>Id_9?KkoXJV_@yW;M=~zzJNMR!6`ehMcBrG& zfX-p;$06%mo`+~Q5@LmD&JN)| zQaj_8bs}?%pnka16FL~j#t?eqc>0MRqE_Th5`>C z{slhs{(+0ek7J+Obr{=p_w@~SF4@PNd3R5(`64I}w}v@nh>g!K7-Z~?i}+gMRrFNBlAM6L{^~U#h$jQke8QU}ej>@BT3Y1p ze-Qrq&6|tu`48JQlaiCm1>e7WcVzj+E_2{>aA@iRp~zbNNo;cg$9$`B=u*iTOiM|r z_GwA*o*VF4nn)niw$UCF3^%WG$=E3i>_c_Xy6=E+t1m>(d`wbahX*>{7J}`B{E*DG z_1+`gj>0z?-E-{wuoDx6nK4K|P3VN{XL%t9hgtbC!dsaa+8V)z<^TRzHP8W!3&arl z6wt?8P#lR+>T#zl6E zf8KGlWgI_ZEDEx2-O&afq~cvc<{rc1+=AF#y^N&4M2;8n71V>kmBlD?ZzK1B62#o! zty!sGRgtA!kSyW1RwQQke+GAz+U)$O7|a%Sed=_;CT?}(i(nZ54s|^M1IC+MYrVHj ztl*|6=jxAUY$38=@g;bUCoC@Z*mdxrA)N?@GF$PA%r4poiZNj+f^~k3XWrfk z>66)$2@e7I6aGboow^f~4qj4q80e>#C0llW=m~{F>6z0Zbi|P!NN}2)mw{Y`5A%X2 zSyQLM)9@`cK3)zS();&E2Y6gIP%9h*v}cvDd*Jj;2P0aV%JZS8fNjywHl*b3vu@gT zIZA}wAYxXLC9K$0w`;4FX!A|MJh$bUvnc+ZpRZ$Xq>g;pYLjJ<7at!lv()B$=k{NDIY>m0%7{;{C>p%#BcAV**@hNAM6yj znECGR?$Zg!$D1^SbIdEv$Yj8M_=`Aq(9XfutTwpK$tdjX3vIbIVt;plx#4o#<$#o8 zmW{*W8&)@EVl%8z!qIzsel$W{;e|FWcgHSxc#?me%>kMLz}2u9w{Gf&rRL`5&VBWs zsFxU*C|buN)Sot_Tpumc1^j?YLUD0Nxkp<=LtcApZ$kpf(6H_?DY7%&Zly`HMbt(bknc()w%WXU^~%1ZgvSqjRQQOdgNutc5}<(tcB|m9K-8^iQ*6yS zIfJJkzf4Od7=mzGU&6-DJ~A|v?If9gOXVKhZq4YQ{r!L2%za=gTHY7lM~jT#P*Ohf z204D{oDDO)+D2j?|TbAZYzb>nr)%p(?%)l&1aq+L@rxFtQE0b`vlH7?`y6hI%#F*_R@8y%hCNxNq@t)Zcz0zHXfF3l^w#~pw>Omgc7ex7=k zvShOCvz8@`I^7c^ieSY>yw~SZ-Bl3-rhV{$jp7#@`xU$VwwYX|V~_gm$#1U%nNy_= zCcPH^yaS34n?B&w{}GQAp7jBaGHAP)icMRl-UXzuZ`(NbpAQZT3tI|x>^SWHckEQg zrtRBnEH@LjEv2Isf_&S-bQR0EL=M4W+aMEcS(hx5C_l$po-P_RWv( zwj2RD?3{g>UdF$fnkT@S?a{`4ckSPyocV6 zbd=sU?R&)_FXKL$-r_x4K7-=V38%QRu`veu1sxkc9-i_)Z+EN_Y{}Fc1Yr~T1vEcW ztw}PWFzklA_n7(}5gRM$cge}gAOjL((*EuRl8cBN1 zP1c0*X&Bchnp>(15&U|ociwJ580im+1ZCKXZR4odnx@UMXjE3>G@x5#*Wox!MGVDi zr6JNj2tOr#@E}RDSa6xtOf<;LgE`44hpPmUrMK`=w^qn+o48F2wrHIP4?o-<9gt=% z%eHOpC=F!nHNT!X3R}R`#J7N2Tm-AD{-w3MCQSOu?_JLju1hbp30>c!a%bD0QJ>|L zHb{P_Mmv2Fw!l}Y)RrRpJCP|^GRRzD#zAmv0~|xk@`4hsV;1)IqXo7+linMtsHiMu zwi1RB@87?VGILkUYF$h5^z!PV)!5qlNHZ4shQ=^F>xcVdN9Z2vXZ7rkn4cOnK&&oc zb3)ECzVHJ@po?l*1LjY*GBGv5FBS~35t-TQYG~P^@ol6_=7S_O3Z| zm8z-=g`aM#>-xNkIrWNtlT&TxQNq9Wf3`~SIsjPw;yP^}5<ax~V@W8YiCue4&IIFs1uBG7=ve`m3ue*-2SJ1ZQOO#%UQC z8lE2?m4Tx?-uSLkdb=qHadh*REqbsH#1eW+#r#MqDmO7xmvA?m#-uk`WNhLUriTQL zOH6g~UeiX`b6&oD2^9PlVYh%oHD2!#Y9h)mhM|?qODAhJP>Jl`eT0gLP+nH!dtbYn zC>+Fep%A9)0SfJb<|-m9NjKx@2MrKyho2j6@ijVl@ZkFxaSa>r{rd6Lb)LWxE+E>r zi=7Ma38{pui3RlwfK(e1_28g`qW8-Mc>P-M@@3?{Jvjijfdw3!2pxgN-IY>sN%^M^ zTMkkY(YC;q2-LcB{XbSrT;7fh8Scc75nnxFPDix>YZL3F8MRKc!h^ktoqJ{fJScuCGj*iCp7BAox z{1}l;xc_;>vUBIoy_ZZdCe$lXja5r)?kIB;6Biekmj3$ntMtBo`*!Vm-QDr_-Mc(s z0~@lAjKg+!-6WHd+!WX0XKezIgCwR84cX4t@QjR%z&jfhvZKt2I{al4ip!pRzpc*G zg&+(GOv^fC3Sz7>u9qsk7oCB1f`jt`L2-AZ@qU2_fj#8seYdPhg{K?n5Fji>M3TZz zV~GXPxqapm3Ls!$)=|inz%s>{&=U%sDQaP4%JIy&9Cd2&GaBpO-PzvN*Oz8{itu#| zyn9#Hsb2@Q8AuakN_+N#4qtjFzx0s&c`Z1$VX!|IW^fPEIL_I58l2jZyR3TOi}S-H zA|t1?_m? zdSWQPCniFvG6SfKZ6ZjaJj5W?SymJLMc8Y&9ga#aCHMJVqY9;%dBAJ z^a_~>h1BYrno|KAi32%_i3&C;DJkhE1T1f3afG;-rPEq%kZER<>!YsVvyqs7m`{Fm z1_THqf>T1mV1NmK+^K%OBq=2&U`kC?IiVVhI@H`{NMOJi(LL17U}KA>Y$t4^wbGhx zo?W9z5$$r;0l7iduRov$(TX&RyxJoakIhJV3zv+{gX6Z4w>&i-hTrgGM5>AcqI%RS zVxK7hnz3;VBNz7a=g&r@UgA-y(?IA8rVnNRd0yhbX6nEG{Qq;(I7R=DOo;LS^%eQQ zx_DKn+~Q<&baXU__uq&8C#9W-0s;ePe_UsP?5AhlDk8iN0QmIE2b!Y|-`xT004ear zhX<0$su$rd$Yq^Al-0V_#j%W&CEdo)HoC|o-@{e+o-8!1*hl0`D)Ht&0A5{30Yh>& zUj`LugjU4>fUC?C0;>gZBmb6!+rLUC!8eQZ@ueNQz6R$$bv4Be&X702;=E{R(B9mZ znjq~WBq9PYos1Zu9=?V+aI=~wlG}?zLt9(IkR3ThLIMXi>T`!PJin=l@Suc*gzML@ z^N)KC{e0z5yO9l~8+LG+Vk#9;>rWaA3V1%p&IaVR+5qDT`SrKuC8VXLiAGTQYEne6 z_H6c`Kk4W=j+1w?v7wBRt%FgGJ6yVyuAdXb?|5stFTqD>&mP2fuk+{A|L3xIPahxS zK5`FWQi7B7$9=2#V~_R_`Qn%gwt*lQef>z486O|t8_ZuUaB^KpMbLm# z$(=jvt!uDsAL3;PdwaKT*^+wR8Ux<#PLII%)k(?}9xjC*mUrOl%F|o3<;p98?zC4? zQ336NgR)Fa35zoUM=c~#+HFeaPSs#{k|K#~KgN)dkni8WuVtYn_!+L39>qOkqoezW zhf$%(I8V+CX%5bZD>4xq=_#UOVlzXZx&3||x=!c_kx!22u^#alm~TgM6h)SwqobX` zt*IKYfS@H)-f?aolybmuZwAY+!@j)9F@FYMDA|^%2*47py!U(~3W;t0C78)4j zvGLu7IDjnB({0+hbC}Fk$&oZx)ZpZ=?Yf-F8R!~vu|HaPEI0~#{wOc zl-$5BV>nPkRJ~=qUzOB-+!kob176_#`SXYk5khMT9Xp6RqN1Yi--ixE&~KaQ*?{Y- zy4Di;vg8ouaETg;jsLFY=yy|hUKt{B=s~y;p?7=IYtQc813-{WitBeuohYHECM-^- zXtZNS!NiD(iR}=#*}Q4fL#JZ|aeSW=Em4X|Sq1_J%@-%@@u|7_34{;o1~f#Wf7YQ> z$C_pyBbfk_LqHNo<(JgOJ-P$~otoOB$R_V?lB&A__aVRLJ-xCRC28G&(~1Eg^W0or z`As(w?d)94hT)T5N9lh4_)+B<0~uep&>|F2Yw78a6>b9@SuwXU;9*wK0a-_O2mxHt9xz96(l{coX|phtTg4fDb2O zFFR}zhxx7zDVanTg$n3y({=FX|17hqI}!vkmBb+yS)}zz#o3{xq8I>H1^SQOrWpI3MBU6UzCmH+qt!OiM0K|SgzyIC6o%3KApq03} zetVLWGGXy`+tyb@`ne`M0%;h4?N6a;0)OMPDpGa~fy@3Bb2&SGdb7D9vO= zMMXI|tFV{#vh)+YrtfQ|i5vU$<^u-7`HqyAkM3I?|7kk^oQ}>pA3P zt+37yGm+~4X0dx!PB^6;1AI1AD%|gG$0Ua7PYlM*qkw^m$I&R;om-t#U*2NOS zEEZw2$+59^lvR|J{1}tqXHgCX138G8W%WM#G2C&j&~`$n41~f+XQezJ-#fpR0Zm!J z-yXPCdNflgM?W?p!5o|@fb7SQAII$~P-=y$k@6ZOTUMnf$TEo0m=vQAG_w#@G;oDb zltFxR>eMM9ot_R)>@&pxq%^ALZ+9V2BsC9=zy6VxL>TTRssa!JpjKW%%KIRqbi7zc zt_>}@Ht^GW1_}yQQ_IC`()wmkK9Ngnvs#41R3#6*5yY zaxCP{d}=GQH)mmC$HC&o1YAe&qtYrutrzg-kJZYH}VXCXwtdWwGbaQu)nNq+IF&r!?oSxX=RmjJNhKKk1A)HDK z3cEpB8yg$T_!1>Ao9IBNsSAdN(SR1H2hVQYB{sOs9m|P_?+;39NeDd@1wd=?=jHl- zC#mHsRz*5KKC357Sp!eMC~7_|%1ZzRbY0Rz9{f?FzK6Sq{OJ@?%itc3l=C>V5il)Bw{;()t;Z9CnZAItG&{}eq~AvdGc)o zPGFIh8xqt_Oa3gGMDuZr=;-K-?VGyF$i=x2dF>sl>m>?{{KKc5ot+gdg42q&V?p#| zA2@w|)7skBAe^qUcVee1U5H~}p?a$0%vko<{KrNNPVzl=P4y-erP6zG^>fRDd&Q@k zZk(kk#X1jrd3uop8X7wOZh3lo-1bwFTZjA9dlyd1YmQ2e@juh+*D(x!D-JVanCuIw zY?*bFtB~VXSr1FoN{|Z+cRE5RVp%Kyp7o$wwT6=A`bNozYZM#`uNc=K6|f8tO1R<{ z>|VECoZ7boYLjTywQFw0tu>kp?HwFE`Ih-PiV=<%R{0ii3Wro5$_o)HZy7y9B<>k! zQsdd!NTsl;n%rNZD4 z$gdD@R^`%3L;#T6WGw!qDKA{S{NvHJ2>x70f54GbYpkZT#>+QF$SLuOQ~4HfODJ0F_D5y{uWinw}CVWSUvIfCK?$CMLzQ zv6t&oNBml7e0xHoHX~u+r@Tg%=s7=q(G3jt;_s|HKSto-tmA3-PQRg2s98TEobjtD zIzXKjk%&A;Z}(v*3~e7(2z~8YP{=50Ayv&Sdkq>A$+BVqS%@H&KaffwZj!^;$j0y2 z4~8A^qPD;aCr2uo6#%X+;oQ+qc@dFgW`Ao1^8oh|GWi7regi2;#f>0sKpd}JoQ}PI z{S_^TXQIUmLWilhOSBUaU{7EfS~AR7la^5|9)DTOniLj8D7dZo!B?RF0sHWoVnGRg zS;lR=8}1h|P2|F-JyuqIWo0rHB|vTo2tuagP>AT~<1x8o?4&+ zKgQ9D`P{OP9UY6veMde&>HGY|ip!U$6HIoQ2DT+~hE(1f|{+0(uzD z@*+wVi!+_5I`n*Dn290wNsKdfAye?eRt3uP_xESnx)qBGxWFOhbbh?MMm=f`ansd1 z&>=z`apN+#ut+YGfB&}&)P&_bQ(i_zI^>~URt)Rbu2pxx@R|hmchX%q;P)!e%oAo! zNJ+UlE&)xWL@P86ZrElodLu06Jc#@QdcT)Kq3wQEUAmQod$T7p%3l9vBr7yLMsxxMfiGU>AKMq?T_&fLk9AI0#4DZS196CI>pr*M3r4Ic?_rU zF~$sfBK%f0jlO>ije;dbn2IPpWJXO)UoBH|NI|m|TL^vjrVM)DTipNk(`)tM7{YfG zax+~VBXF&Zh8S8y-i~&hDNE6Yn&81ko#GOwvS1x&BJy|4;kPR1kSIe6ERKIGF3E~Z zj&qThJax&3z9^dTy~`#1*ceyS*^Hle;^%^uJHGHVLHeSn?V=4fOcQ8q@|@@Oi{{eW$orCG7pY3k!2@y8>m2b zpQIb3_QW&~<4%}^_A>bf9R5c0Jm0z}fGk>`kvz}b7F+^Yv1nyPS90tzUIjfBESK~3+2=%+TyRwTcHBh|GilRk2E9ez$|LUMU?J@! zR3HEbw*|>W>FMB@^j4cx0V*A%|9!-59HFOhmf9mZAqENu#8}9(k&5m%WFo>=9u2;E zWhV7V>nJ^PmRh>|#}7uduW@jU_V*uj9s2g{Q7Xxg-#c9R zRBhXsbi?wVrH>HruHK$LLDSWQ;IHoPmc{#hlTnwn*ye6&YW{^cQm{}khCVnvHz_;d zXyUd3MMuhOup#f=Idz$<^q~Y-Sne6ET=qsxxxI4{iWZ8fh!OOgsVXKW4+O%bP9n2A2?_p9}f!TnN2e;08CBY0r#5FBU!n zCpNZpH=Am3q{@m89-?ZGbf02nx=*Bvx#%VZwb0~yuW_qEVJRY$hL>|URbm62S3Xm? z!84oh088NitBhN+jgBnyxCLGm!6^-#;`DA@574-Y+R-6BisdfHOK?qw5vM0Y0oZD^ z_doXi_)+KfPWX^$Z!<2BkzzRn9?{iL?OH#G(iUhmIF0HX8m6O0kga&TH|NcA{1KjN z4IS3S7BbdCBq8gv6kfnXmCwGH`-_07q9o(}#NXIo*-C0NQBc+3W0<`jEiNm!(8HH4 z>6>gHv;Kz4W=@^|kd96w3?+Z<++wkD&XVg-f2!8SmoF6)Y}-^`WLngJNC=YmbiLwg zxQN&cM(HFS!7`PT2A0J2rE^6fKWRi(0} zUL!n{=D_dwpS$LSfnwU(xR_5U!{Wp_Nss+v;yVb);HX61Z412!1o?ZFc+->M1uR$g zBzX*c#x->%8|o_OP5(?vxZ;Y>AomqEp8)(jna*7kfCtQ%S&0$k?u4JW;DwuA8JH9X z7P{gP{*6^vjo_h3VjrH-g0ixk4|YEON&T&<@0yNnA&++J~s z)9kO#enT4L>th4>9+DCez|DEX0t3i#ahH@g;P{;{G)i>e$0r zK6PBN2kW>Q{uTl4GV?$7kW8M2F(-QB53iL~2N3?bz)H09k2AIJ#|>{`u4`dQ!7CU2 zPfW;Pg}Dv~XApg@h2|f_y-)YgD(t{7o8e2Nt2xEpfb-x}{Dv@ z%n~FKWs^-BC;>ZPzMOTkXaq`PP;0dn#VW~0k54P-nU#|}8i;McaX>1XArF6wjb*)vpibrqhONs$d=WHkSxS`d8<#i%8Xai&3Vg63tj zy|ExI-QE7-11He?(&;r52NpdemTYbU%7%J8*bJ;ZVrUjL9e3{BA$zmXuT^g-Mce>N z8gv2y-rwJk>#GTmc9a&ObdGY}6xeOdgus=FwMY=#xd1xfFqZ#XG4mbYNi%;%6}`jd z{s~hMaTxkhP0is?Ip8@LBSH0HGI2*9US5E0F%o^ zKEGlDpr$^StOD)WtG~Tig81oQsZnO3@@-`4=YNgoK+LW zf1l;~PH+yO_utpo?>%t98MB#c=M4%DWMz3`qD6Hu8nT*Eb5T z1N_h5HzJx*@*NHD&^1CB_4e)CxxatuC^t9mBzaNz6ci0TpxhwysgQa|847)ty(zE% zQL6FmB@+--pim(S4-GB2GN|9>^AgnkP?r!h#qY(NonSNhW@4&7;FS{Sh^M1`>*z@3 z>E`*AoWCNcU{bt;j0>IhO)t?qD$dW}52S=U&VvF$5_bA51F%KY`Ta1w&q!_6Q<+HB zY~{oU=?@=1KqzGb7?hUa{TsUQs}0mu)Sg+hH*Y)*z3Fo;?1KKe|7J>~CZk9N?f*AV zD#smb;0fC=3|_JQh}#};A50-?TO#7)L2U7@$Tk;l7|}JNg$RR!EcZ0pgx_+9f$CmM zVPj(h6Odc^?cKXHP`l76HLX?Y=V;rACVsW$B_>_w_WL-iZW!z@^q{M6i-eIf@TjCop*oS+$&QQ=ZDdT$%o4Wk77O#yEoT7HOy@*-2OE?98M&mT=Sj6Mt9a%@6BYl@ z>odI?cTwB%ns*UAc}MbFsf#dK-ViwY6rJLf*JRg!nbNP3k)_^Pd&uX<|Dj|_O^Wrz zEr!PCCiWWUYLJ$AJBVz&mzEE`RdCMQ!;|U;wlSyT*v|=A`_|6JkhmJMqILi#PQA)}7dw_0eX zYc2RIp^Yysd-EDPVC&{b>ISE7;pGAJ6g2AVP6{?-TDR^o90)2}{YaOQw7VE&U zu;ZYxdRo^hsD*gV)u3WJlu)>wZ6R{bard7uaH-+BFE`^21Mh-3SQODcQT-zaMpN?q zd3x(_vaJ~jGtcnDUxz2XJZ4ZSk6qYA7#{8WU^-C}ar{nY7AkrX}Az2E(>O^vokK-`U#wEJYUm z#C>pd;O?W*$%cPjXi5KrN+?nn$mTWaM7-vlP)UCh!BFKmIT32^^YwmMT-d}xgBR`= zKOkI&G7Nfy`M-Zr&*J0dHG6*PMK!yCoKnNDBI^9rQ-k6kebmfO-`JKE8+gb@H_z@B zw#;rr1~M_wRR*o2O?M3LG|9eZUFwxP?P!!ok9g(W?<~;X=xmdcmhS86p{KxNVOn#+ z!NIk;Uk(JvRK;(u*I0SI%9@6&MGS==5s@K6vj4-68)DCfPJhHC0`=a7kAnMv)^d7m z49zI515PLwpuqHbhke3rw06}fmh9H`d%#`+`j;?_{5>F9iHTwY4GRU_0}Q=6OBqjWaHWW$|q zxIXqNi;Ii%^7I6M`=p@Y&M4kCgU^wY&05Kg)lb;be+GK>gmXroJTjP7>H*91;&}ai!n1K2mljYcYkyURy z$%ZCGorXAR15i;=7w6+}#2m1Y^U!*tt~CW&G>W4018H}A{P!9^-Dk+v@!W<(RnuZn zy;j5GhQRk!AJiEj6m-0FDSE$kll;=3pfwvAu`6VLvfM~AADQlF|vZ2g*f zB_mSh^K;v0StXyE&PPpW8NVr1)JeVdDYd`kwdpg(Z}b$dnfIeX6N5va)$XW?iX~ij zljWFy_x`@d_gU}3_mUH}l2&tf{0bJU{C-Ux|zU15SfYaX^uJs=T~g zwr%70dyW?X)cB*_o^1OXadxOiR|PxXj)R>ItnoCi{t@;)Vl=2+7f2bPxdhGF`(xs( z>eZAJCz$(L%9YI7vYW8q!*^`dA3%lfgw{oQ%i3_ze}d}}A1A+D$Rl460p|z72LQn= zTp!ze1#YVSSuI@}iJG-@-)x?pJ9jQphW1f`y2}i&)K!{~drHk-3Yd01%@4GTR&nI} z>b$UR`*!P64RNX;0%irYzHGHuIxZ$O+n}Mu!0zC84irZ3ue7T2G%PLS-2m$-c!y6h zG-Xjov&^0EDw*mK^+{3v_pa-e6ohR>_+n(dlokb0DkUM&*48$I_JpS%O;ZpFNFAD?^RNPghRcIV}-2Mf0PY6KrWD!|31Narxnlp31Q36P>^ zcd(t~iE$2EZMG=Fs8YIo=r(Zaw^=I@W|La~Mo z>AWA;xd&>=F8zh@grvezoEf25MnD46^P|V-?<)>JMyn4GY5>S)(+kwCyf*gV>-fXt zS@~!k1Scext;{QLMPp)gSlF4zhF^;8ebS{a z6hwcvBvl>ctF3jAepT3a$~hG2xr51uQ-iU7$LkhK{hhJP5&IpAWTgn>SF_J22hsk^ ztO#d^*!OkoRu&e#G{u~h9+{#+l~$Ns$ZhU{-j4%EPMu&Tgp@=@@?O7I!pn$IF2xIO z4({DsZ}aRCx?lSnyMQ)P^@XTZU!JTw{rU3;y?VzgWq|2{N)WV9qDKH|29}SPx-jk7 zK`Qhqudl6MC$lJMy`z=JSVg!|98s(%CK!p!5;_NR%_|{QDnctWY7A>BsJtg9CtuVy zLsuIpbx+T-;fA}&g(6z#q2x0|-x1UTq&I@19CY^xgxe@WqjC*}tn&8C?Y`rQQT<;) zks~i~K@nZ!LgVGU&_41LO8y))_8_*kYM;ZSA8-%Mjj(1WEwGk%4t=clmh`dx zJqqNWlEa?bk20G%bk*p2t01cc6@R%nIXOY2(QRU5gCSzqWP6VzTK-e1xTpbFP4+5y zK%o)g2y zQ^hv((LFN;k;+4sj9#+rb|{HrLo3J9Z3Dvp8tJ zJl7qj4FNxDFVEp5P?x~F6splJ^G&u)%ORWo=}oiK+W?qIJrZ6Tg8jI6s|FexkhoyA z(aYl9)&{MV*JR@nl$)9XSJCXs&dB%??~ecn1}!~aiUx(a&@91#d|o2H<-uSv9tUJ4mJg+UQa_O|Nq1 zXP6^x_yDl|x$$+?2S3q#!74-}^+pw|^Ur0bm5;htf5;Jbqk^-6J9?>q&_4*OQ$CD;wo}(&aeKT+W7TDXew~r{|=47o)JQAFR~2NhV_7 z8h831Ol%jZ6S-7*ec4VhS1W_&dX)&?Oyr{m!IBh1@Joc!b8cv*DZsz0_K_#9pJb}) zfm^HfKTBP$B!0E8@xOo3B!9VjmRc3Afp6uP_C8wT3@&M>43=Jh7qfy~CcVscupu{3 zxp>ldg3QvwaSVyL7jr0mBK-;G=R3-2i1pVe9H>@?5%e&IxP+G`eq5VL|IME~@eoEy zUXon}n_(ADqTr-eD<|RSw+g~kDY)FFH8^K$CcVk+|2~K5m?rTpB4`N0dj{FbV8<>b z9*%sCG2l7UHEIwohosj2*yTdOy$Do$fpXK?!%+sUyWa8Cz)-GO%8cj%n)PYQ( zRh5yi3o|j<a7XZIbC5Q#rReJFy3dU4_256RitM`8Wq^lBG&eylf*fam zwM1vG-g4~lr&Q_Xb5zY-_Z4FB@*|MJpO5#~AT5A|#MT92Mos)G8C8Fm;#ofae>nT{ zuo~O;>$^k)nk7_{W>iXs1|?~ZN=a!#DMgY7nuMYZkxGg*D2<9JDh)^@3WYR^25Fv4 z!?&(_Jn#EEj^FqF@%iI9j>oq5zW04!*Lj`iTI*bA#;tb;%K2!h7TRHUWp^wlPTa~L zeSMaOhJv0OPiWAjE%WK>x9xSWAf3wzll>P}&3dxg#%6-fUeE1nJy2bA9lBRJ9w5QFp z7_2q6LM%mY>Lek;rm>wT^m0wg;W0Zk< ztI?><=`%Bv_3CxPlEX{z>~ATa52{UKTgho?G|K5Kp*ZmMuu1?JgfV-@2l}P^50RU^pqpcA1&?^U{6hqA>JxVxQt|R5?38bBs6qi96{GIFsQhLbCnvhkrXOmCjP}j;8R>lWS@6~u_lK{xSYd8Yxs`_ZFTX;? z>~(97&fHFa)ppu_RV~(*@AqIGYHdv9Z5k3(?$;m`Q7#BQxBVIm9a9*sjtO!U@h1tF zsF8hZwR+Xug1^mFODDx5G0S{ZW#`VYRrry&uEs(t_7j_H+DCucsLFJiuw)J;aK{e~Q5JNX`T0xL-l3`*XRqbLdS zCs<#1crIrA4acI(@E(L?DNS4^C9ER*L72Sf z;#|hN2zy?VMvocqYnqPc@4i9dxg z#vKp!YLc)ijt}Z}%O6?%+Rq)7*?D`~&XstRSW2MT+@+_3jUs1Ei;5wKav{FyjJ~e* z+|PBIoY=0mjST!^L`{P1yX_&E8L!1?p>Z*2BGfLqasTM-j^ znqlra{XGCrQ?+!}%WpEqGfqc!@8GAaEuQWalFA-$F6X1`ryF%XXhqi2M0EEKYEMjf z(N|%iw|X-oo~#Ubz%FmpM=7ZcG^bVa(ahclV%KFb2#W<6Vd}IhV5yw@o&Y}xKAL{k zAjxx&vmBduW0PL0*0wtR$yN}5Kl|gy9wq&ZGZuVP0uFr2ceYm06`f7KE_)P)8E{Id zL+U4Pl%l~?j@$-W#grod+(Yu^L|V~FtB#Ml@?_9w5$vW25;C4sy z3q|5RwFwW`ZiPtu`Az7@$W-@Ti#$;;{APT-;QQ*f7bpl(5Hwf*p0z!SW!7n^Y}H~L z?IYmFz|73$m9vQQ!2X{*s;k%EWb~Dfiwvz=m+|6I9eSipI%p8rdNLJ_%nXiNkC+#P)5R8c*5RsE(Axos3#q-wvy)ztOdKpsO49Bxf7Z`-Vdj$ne*&FCK_jCIegZ- zOYandr&Y!myF^2n>OF7Ys*qj0zfz}gx09dZuH|36n%Re8%S_-5_y73h5byZ5z~OwFc zub3Tonu)QE9vU4@2g^3cKJhx#(=ELEvR7N?+R#l!%K97JgW+nzC28RW18el)B0YH* zB@e^0Y#0PN4e|nX9j@NV^6u`oA;_>%U=w!_tS?j+4kKTFOD)P%do_EdC-j>(wFk}r zyFt~U+Yyy68fm=2>Vx|M8MO|=^@#9}jt(U(Ih3jvsL=p;;-XQQPk%meBI{Tk0LV{` zuNOob*h|tV0BM#%J%y4^0Y;e?7EM5qZ%JA2+p&Y*k_X z;PhB#`#HwPfy^Su|9rpHgL@RlDr(pyG2VY0D zBLha1g9ERQj!rg5qSSWhpBg}Vz((?+`ocGn5)D5Dmkb1x4~QddYgV&NarFzPlt)!- z^EU#wMbT$&Xt>F1ydS_9L6iWb4ULUi0yjo}A9d!E()6!AP|Eg?jCiA`ALzkpbYH`u z;^#fj-fgH1fn7E#Y>!zp%w7g=p&36Fo46J>NT^~Juw#*q06@4I76xCN47}7h!i!Ri z)2(@Prq-p7$ALkaS`$a|Cnaj>ZusM;63fBL$}0f@F!ggqw-ppJSUv?{4}njk-GycQ zcuRVp6c{u(jP2UB%NqzMuAF7*(&K1Z18D)E#!^qOXzbTTRavn>3))|(;+wsObk`Ka z%OE;5v<4RhAJ~Gyiglz7g0&Sk4NWi&{^36UD=`{7M$iu&&>NuitG)VPLfwwi6y`Ik z438l_93FNVo8|NM8fMoRgKIXhsWh!Haj=r0`z&#(C?=7YgUb31haCXQ&2vANE}w2? zk+57vsiQY?>v(>EM!*3HJ9G#z7Wy%=Hk|kvuZa$8Kh}!G=L?_*oy3#yXN5%xvb@I| z#zsep*MtQ~3AJlm>z-}Y*RAOksy+{z*6hV;eTI$jq8S-P$HJ!L-wd}t)*{Z8{;Y%x zt9z2@0TeRF2^`0*_+0 zcrPr+k1tuY`GdYA&TF}wfto!HIWmarhaP|R9%foYDi}W$-F}0=d_*eBLxG-7BTm#S z)_^H3obEZnA*|!{tE`$eCGflj?KSWZsjP7jS5-8HM`mgn-)kuX3hmEI44NjYfsf6O zJ}bml`Y8K^*3@RM!rgJ15JTWrrwT^*!SN~8FxlYb$pL~_w~$qY%VWUhvElM0aCxA! z^%(RK_mC0iUE=c@KiF0Rj)wQePJ8qL9zZ(Cd4#X!L0T&RRaJc<@{Yi- zH#aBaG-h1W3y1cbEOlJsRXHJ+J`=m-ng?R$GcCdiN^$ZDm&OvLtiWXZa z!{%oM1VyAW=F>&CT7@CFx~@^x*ALDtH4?Y+mhek5dD89MlQ$nhgF#4fljNi^t7rCT$N}J zBLysu4C1YXiVFua%(;)Ksun{g&?vK&f3@emYEBz(M--JnC~saDPj%V+;hez-?HE~v zbfF|+UlgSw2Fw${ZJF==82>1I4Pl8mr{n(N6a)Wc8)m+pzIE0( z$A_ip({mrjrzP2n-Bt-by}H9gi9T6>EF;b?E&72a#J}NK+#Zw=GnV+LW$Lmt3ROt` zZmh-m%s@=GZnB^pY9PL=`gv~0>HA{tuCA-BBuI32r8ZhtX8@X^18x#)AA#l_V9zt2 zp3T2_c}~bFtHb9cRze8aup93ipg`5a^r^z{Fm5~XquVS|;WYlQliL$`+_h-d!ew1hCgzNp$+Um#3GtP41 zd&UsqHO#h}B>)*u!gDskbIt;0)-QM=DN6kX`3(~pnW%4#8O>sKX<(PE*>?q?W$kjmlzY0g9g2p$kD1QFNZlF z2To7%w5nJed==m{-%@ZCDIjlP_KWiXK`6`94)^jeOYr)oyi0F`2{Fxkd6R`#$;T{b z0O2w3h*_tfK3U}}6Q{%m02KnzJwA3LQwvfO=l(%LF`#Fk{Iczr4x&D>0}rW(0=u}+ z;Y1ede{?MEUw;eGg#2mx%^wc(VdL@K>2#t`VQg7}MUFn!U!Nb|VHFS)OOA;t%ANv5 ziHw#*WeK-b(SSViD^Uf7DIBqg9k^gfI#dFH&p=6@ciPeJ-arbj?Avk}^{!kAGiu2A zJtpv7aGnzB&DI(l9Q44s=g)d}qS6veuZE=u2t5{&N?P2Jm{_*1pROC4D5)%@DfI|NR zto^Ri+3oPafF)0t2zseyki8;}%N7EegTop#GtjsIj#18Q9Kod>I3N@g1>gwa;RvwT zW77EiX6|INs21ZL2)0}*FJOU&D4h#V1IZB%W1?^K3%GXeT2N57;u*9zf`!1JY^5#u z$52}#YukoSbI>A%NCb$P8oWi2@s?x1S|Fw0{QZar-4{`Y&IOz&9gJlj<31X`J4j}(eeL- zDyUs-={-`5e9H$uZ^S8U>HHbzGBw{tzypq=av)lXA}O_;(nU zkPB1bwuVVxpOapU!*K}XpdZnl0Z|u_q|D=So@dUyi;yYpT`z&B?uVz&*0JRS++os> z#kqHX{g8b_*JbOCtwV|;|FUdg`~VU!N8e6N9)4o?OYP z#rMZv!FnuxR22_lVh4-mG`wbIMIO)WaH10FP=%kz? zaa|D-5D?h7@gy)*|+ZMaUXo_^ddh(=H^!B%0KaMhqsP?%`r$?lth4OZ;d%%8eJ8Kbt!j%FHVx)M)+0$ zHlA1KNCC>p*Piw{PdS}${jUUU6aqT~nj=^a<&K2Wj1;XLPc3mPffIBK(awSUb1;uT zs!ave%38lUxaKbiAWGJ+xF830@BTac`3w0i#4ZA}6J(+w8Srg%_%`*U59hz_s|ej3 zn4_GduZzx(2&#Wmp8a5x=SR15b6@!vK&O_e%F>7jSko%gy2>&#Fq}qCN}4Bmc)H71 z%wHV+KNp9yUU}De86VZ|3g)=A^-$ejDL94b%fP2E)0TqennIUL>6h=P*|F+`( zi+@uRp=3FFxRT|VLA#sa-vn4KK|I!W_Jg3TQu;n>`(D0s z{kpLu1P*0UbVp>`YnAF8pKvf3Hcad-6yNe{)#jV>jBf#LJ#UEjTTyZCmkj$)d>$@! z;)V|YJ17DMhlXtS(3J1Xu$YFuVqLFCOeC^FHG-8tr%RwSP<6kW*?44(#fediF&;ch zud>)VAardifEfXVKtVOic>{A&JP{$0yk`qJJ{0bIF%(p5pWkuMGjtB9PmW13D$O6g z%&L;Z%q8yw;2$`b)4CK!!trQuu(I-d(%JdjrUXu^o57VEzSa`6Y}Hv%*j)7Y2N>kL zm&<#6Pkj$|=Us)Dn%f5~(XR9wfk51oDPJziEyZ`i%kMi@S4AflR6aXRwJ-w<2`zj- z)$>!5UHyFBv2Ra*1&Z9eq3Hhvi)Yiz##+_s_BoSD#QGZlK9&WLN&vR2_CNbR@@Sso z;0WWTy<@h`xk4xT?A~FYXbQKD{+29k|JiU$ap7A5iOs?&37VTNbF=~fjXh2kK2bQ} zaY=o3$QEXu4yDp?dI!@EID%sz1tbPK*O(A`uavpj;HdVV1{oT7%;No=0G!Bp>& zXAiOtuq=4=U6g}b*&1|MSF1+|5dyrp_rm5Ci%vnB3oNe4{41|zT!Y=WZkBy7Yd`c` zf_)7G7_Zphvh(~|J*UDkTOA`uWZS#QR@!^4lpravB1N4yGx^-FJoD0du@|WR2rM2h z6hb;e@@vg|Kyv_P; z?$&kbIuz-K&NdCd3bSN+Q(BtW-^lYd-}9NR4=W{RW~4g@X_iDGIw)Iqdz6=b5#i+G z@?dn(KNy=9Ocg0GEoK@V8Z4L^`+|fgYr|AWTEsD{1@>l@biQ0hQ@O(bBE&lZ^f&-h z-IgaS^<^<#4SCcl0{_H`nN@R0Belujp0j0u)n?U@)0(GE$0SCiBsc{6GSwcXHO!u_D6d z{@}li$2^Bg5`vYgmQ7()#%^4G7C3I_p5&tljT)S@@^u%KGr&`+aax-j6NtBS8EBdy zO-7l}S%ATlJ7v$6Pmpl645s^@bd;|H2_k$nasVoyzTVQwSGQKV6z_ka6CI5G+4&WZ zCh1Gp>|NQAEV;KA?&Eh|ZyeF)Sx-mV@%+6Ri(Wq#mfC>Jk2-lnElHS)k^Fo4-0Zb< z?c@fExanIXR=9;r;g|YakQGY+cPlGHj@zub_l}|6LT+2MyjN1n7s%g}pD3k}f+&V4 zyt=nWTPq)0A!-Bg$oW%2FiBWy8NQO&sX<%ITm!EiCnN-6rHc&l8Vg=~czcxWc?d4S(y_HQ_6HRRyt#hbZ|;_+s7yt(WZALsn4u)>W$N8Y&m zji+X^WIW#3aq=%;Qp8+Krv@@0W6@pmB~u zMGM~mNlzxbG9=`+?&jQ^@w8eFo|+vE>e-y9GasS}<69#o#?auEUe$U9q0^I)*?n^AT>GQSnZ=^8wX9-tlhF+JaD3PWu8qIlrl>$WW=BIUBvz&NpaUi3_D_ z-bqqFmH9*{h;GCFJhu(ybkF6r7!erpMT$eGdQ!>{oXCd-kyO=`T~U&#klq+OH90bL zZs(btoXkXD9dC~}spMm)<3g3W^6aIj-t0I#+i{7#gQns#_7Ag3zG`f`FtGGyID5_v zh8Lc8M%c4mOjq$PJ$!hTf)0az#=*6kKZ?3ZKR9@RRHHnLlN&|ar8DaKbe5@%Pfm&x z?%sD$-#7&535uVfsI4Zw8aGnG7m))7yN&TDp?Z-h;u!mb3LLUPU?-RS{JhZi0NSL# zpSwB~n0*BwO?83+xykU^Y1|Q{cCE~{Z8YH z$Oc(5>NX$UsArjftPd*Dep8pGX<75FTL}6TDwMGU{j5ZsLMh;Ly*Ku?HDeZKDZqRX z8!zkY^Poo{#>m#z@k5eINX`M|e*E-F(&7a-)I~s~U>8EVH4?T@Ku88ac8|6;bWRLF zhG9bs!sFoM{bs|dlw3@kMVwwr;D%cm|8!FJG$p$1Ki~YIx#eJ2Rg_J%PjLtHrpl}8 z5uBWy>rtM;pd8vSm{b!M0YW3Jz%OYghqFupkpozSDK<`IUbG%U1BfX`N|@0Cri9?u zH}}93{u8?7$>su{iAD?{Z|NwV;3I5kIl~~exd$N^#2q9kIP>Oj!PUdMG0TtW2opnk z@CGmP^FfWtAOH3gb)e!vF~`1CSs@{Cfg9Yt2{7>G;Q`w$Q#h9aw-|=+%{06$(HxX% z`VevA5;L!X(ggY_OySZA{1myO9DV|n+X`^W18xFOx^bvB8iyCtM#g1WyjlS#GMZ8Q zf1Z{Yq?8Lk355U}006v~_*VI1u|uT=oO?Ssk?V@1w^;=s*O!#6dRd7v5fIf2lX{+a zlbs&87NE{%DCuCS2T`0k1EfKRJTYit04g~lKfC(u9*D%iH^Hoa1n|W%G{dL_fGNPZ z(2v&&Q%+%MlLcm804#<%Ml+yLz^J)sI>>460U-)(93EZQ7K`|$|4I!P#kFRj&xUjg zp{)lE`w;tKHb8cW`kq^c0K#)l*}-c(Cc*-TD~9iJ6%h2oC|H z$b(7AX}+fG@)hj#y<(_RFWJ-f$e2q{fFelS=Kx#`_q3)GK-hXNZAV8qYNuQXCo~uC zz@f*`ZPY2&@h^xps4`Hk7G$; zeF6N3BAIyqLeZuloJbyevGIR>` z4=nL31{~4OLtGlnw+jwm0UOSD3Y-*%r@*Qnv;D|qOo%K&ZJ+p(-iWa=cmoP&=6t|* z1h3WCjXC*1TUcue26yH()_#GH3y^O+&sR}*F=c^)4Mz~#ipOrCc?-@ltgS$8yP~lP zHVEBF%Ch^=nyysY2vuh|z-RM(5BMif68Zt<9_See-(3K8VEte#WEOmf(E5F}QeTjM ztomdR2?WD7XeWRiRYF{R<#w-eAj@abbcVZx)++ow55Raf-p_#d>fTeRTY6Z9WObz& zOyU0PqYWY~aLpN@$&k%I!xJSPEbx~GLV%ZSymxN?5Q~IPArOi}=*XVFH7hT+&k~nk z0)R;jD&Xn?zFis`0j#Y+;^0dov>NtNk*uu%zAGBB`nS!PU?q!GF@B5Tk1*0ntc6Lk=n0ZORI`kK@*LwyeY|AyK#t)v7`g+*X_}F&k6{3G>52O6cN6ZF6%`&p(FJ`Jb~xZCiV#61B2215LIt)RXv*b$d`&=I;O1Vi%1VOU#*z%vB*piOTu>O=#2$<2SDX%rEz-Y?V!~83fpZ3OMGpYo%wzk5F z?qzQ*%$mj3k6mwTo$R?=y%ti+gZQ^xDpLd3&!X$^>4r43oIwP1KUVY_?wb*>TyZRJ=QRu3)7*DZ zSKvnpe-h$oQ%hd4)8zIYj5^~D{rzn5ngTSoz`F~p8dNQs7JWdFR@i*^XU&#bxK8Q) zj(hsoe;x$r@V2T7^aIcx2;p%`s{{bW6pik6hb?=3;n`Uj#bB|?IyQVAd7@%`wMLuM zki)JSC$>K;0is6>YC?^22kC6R06A*kT92mt+p-R~94`6sfwyOYjW00+ctb#93|a;` zxNP}yVubSk#j-n{dPvjnl?uzXKs>&wEX;KhI*^m!^R_vmLk`S~{OMPaRco0$W|@Yq za$7E~f2#jRD48>IYG{SIU$BUbzMY<)#&p=;jt<+gADcRnv#JDO7mI(f)c1sI zb=WG9RuU6-ng~1u^n~%CJQx*(`{!PUodE+Lfro&Qb{SySmGu{WDhI#kc+bNJ>tV)X zjh@DyAHQ~!=0im1+N!D(fN!wG+)9(G*+z}1DtWK*N162c&S4g4%>xDpYpE&7i06LZ zBScGsM}f>+Gsr2rCzYI{iOYU|Y@_jp#GG_^mM%X2<(TBixAqE^HhUpv!xY1#07(fF zgnbJL8v_oop+LvhW9N!~nN2cCxIC!S7LrjDZ6m+>i}~5RcR*@uGMohRbPF7U-kG4o zz~m>9qORIx*AK_;TsM`@Abrn3=u^H|6x5)v4P z(+O^E%T@M2+*f~23}!W~DscSQ&RGQk`MrC+{8fhOW)taW^;(20W*2Hr_m7T@0LARW zSp?MpPhmOsEjlo}dU{}r5KT`{pJ$`j>GycSQ8tYpPyoKaH7(vSDA$0>##SK#zrh3xl)-sr79 zd)i8ndqUda#|qVe!7VbN032Jw%=$LzHJQvC*$SgKy&W(q<54m-GgH8F!A8Uh195NY z;ftVXzitp4xnX1%y~2as+T$tX;?p>MXX~41_5sQ#&O+%TN$ZUu?w@qj($d=2L`URc zf+^!i{nix(^0nH|&P1H~rdThrL+GFizkKWkLLlcw~%1y(9Uq>LrdC!kppN`*-LTrqZ44D zrU7o^r$04)h?ze};l(;}Bqo@M?`~-SFKpay{*6E;_@lTse>f^wy%xtyk@hHc@ACuQ zRcnd?W9{9$7fl`*qhw~*-PhMQ-hHE~sR@(_el77%^f;rYR)Qeu#|nD;`SF9es~B=R z9|DyoAX?GgvuC-A!eH6jWz*gj+BxZYJ*P~2a1K-~rC;5Ili`lEjTS7^5kWAH@X1*i zx{3I~vdN$q6ZrCMz3lw!JOW>(2PZ9N;`jfb?LnB%(T?N;=g@C(UfGui!%rfat1y3d zjpZSp)E&5t4H@5R%LAS!T$Y zR043YVuB6qz}(T&f;j8Tm)tw~Zl3UQb574nX@1BGM7e9M*FA`}gTash_c@ z6$gLcN=NMfzYwB3OYExYWyZ)c{Vn$C)PJ=`rF*f{xWD3Kh++G`bU;ZS-qcCN@XW{( znc^aq1!ROnNbALIsaTw(NTLvXkVNAVl34{1LD+~$CSe4@p6Q9Ivq2DnGc%744Z$_R z5o?AtrQ_7P2YxqDXgy{WP?+#6?9PZNRjd z3W(MGSm7w^)IW%^%CAf#fk7-@LyUVHyfILtVaijPc`i&{gB`g3ZYRi)%ti*Wfcmfk z8jgp}VBY+#T&=Nz0X8yCRxQV2YzvLllDr?<0JLuW+g!CyWY7q>(z-hbK79CqAD8pV zp-y$nHqvB3o;V<{^$+r<@?fKw2-exH6i70BE73jKwG)Y9h5oJgb|_4omoC%Q)X~9Q zq(+$kVf>^5hE-wPu2wkR4|{{{5DD7ZbwZw2y9YjIwrDXYG%*K<&C(^;V#1S9pxT{- zt_sF$XpotJ*5Q)BKkSv!K`D;=XjI^S<-d4SBqVGqm;;cCDEjf@#m$f&D?5-;E2JcZ zDh+DEad0K5XHTLaz-=SBHJVDbrXC&S;N1*ayu&;l8cb#gGYq_1EJ<*yZ`Hn|kYj5c zEV-`}gQ8#pK?W6RA-boK0>Jl75ex)kF$^a$UJd`^`T}0o+bI8p}3(^CnaQ zru}fS!w_RthK-p2h*AJ#8+>Yoa5xJHv_hX{tTcoliuaKM2~w5#gR#q|!nk5~AO*oE z!$sn^E%a8B-27m7uzi_jVv0{ z_i6EM3}z@mt6f@tDLsH`%dapGa^1KocGlS@c@RM+q9alPqf=*tPu-h@mLgHlD_C6yi%4}%o^{=JWCRjmxA)2`*7D}RQ0gT&o z>IjFTxOjzqmfR32+n#RSxm+O-Fy?stm&G96F;hY}-_ODT_$X!mFUanjtf$+u5$NR; zbQ{2BuWoNkFOJK^0&U5YfLoLygqcT|eHrz2iGo3cgOl?oW_NiqHSEG!R0EugkdZMa zk}N(J=!l?}6R1W9OaKc%2s#woCmkiOA*Z-7XINWd?hzOQ)aPkQeW`6(Q3s}NgynS` zQuE*_!He^tH`c{@U~`>PzlZa+z6UJv6g>QqOX2w&Bxns@{CLeEHL%tmqh-UlF5|(h z(+;H*+(unz-PUaZMSG&@MMPEL#)EbMTyQUm8u8+Z7Jw1nl&t?WExd|or=VE-dTzGp5ufem4;8|Us;YmG$@HPg+lEEI>q z82g&yhiPdF%o}N(Y%xB9C*XnZg2@qmBE_bxjCI*9R!?_DmqK@Z5tx0yQm0UQLb@SaU+4hyz5|TA-PWnR715nA%m#2cnPI z{&QM#1NrzEJ>wAUYKhxp*8}%HDCcENAj8tT*(%Tg(gN*wZ#5t=;A}?8210N@KwV6z zT)44x$Ld`MPg}Q^N++7&SEXOZnpRFFGGF-gW#;y0Kf^rZQHDo}Kr*eZibH@Nn)}{ckgN#3lY{22XJ#P_bgWqLC z^ayhhXA2F!2<)TOLXW^vT;A5e9?y9$isAz+gn;ckfEH;~8!hSo%}bKz#d9He^(9^f zgIPrLFI}jN^!+Y2#MP_lLC2RR{H4CA8v*v`^8_NOi@PL0Na8NZA1hrjM~YE5g6wHa zHH7(GVcLnLl@LjMbS3JNALQ}RRuxz-pblGkGgH25h@ZabevF^MR7^5YntaF_2WISzUCFzvF zh+2$YEJPo1YHinBc?fs6K~*!4LIa!vR0Yvg3le+m&;y2sE{VpxiXNNbrtDfsuP5gb z80?hBXyrWh@E<~rTH3mwBeVjLHz4Qb$W#ZRI>uO9fwgOg1_wz-jidqqi?6RQkoJaw zO5l@^k-q~(Li!J5A!u=$aOk7&83*__%-RBiFoLPOU-N$=oy7-gX=7cx`EvftmALc>O9PTA4%>XQ6UL+NgDoz3B_&L z=hm^IbKG9guibA)FzOdNxt5j|(gYh``sNMVA^{-P)EJibIkmrCG3R9)W^rh!XaNhu zn$RJaIxa3wPKc+VgKES`C}bF}bs03F%90y5zpq|+o9W-ZCgF5ZA}K;50$t523?Ip6HB7#Z1ALSKjnW)@dgg5!XgQd)X2qi~g+OVT=@1u>k%>@uJjgRF7M@P@%hi$;nbOyFn zs}3Y+E&FnvxnV_qu>$0l-|KiSUyV6{F2e3dZ=XG_f6h%!y^ZL|ye(Y;=WD6`-PF?J>FHV9>V+JmpG z;~MawL;=c5ZP_xG-WL)T1yiiFhW9}4%)cpOJOOO&p%mX86Mh>JM@lgJ&3vC2)w!~k zZo7n6285M4kXJm%5(PlTt8ftQJ_!=fvXeT4MlJfP_hA@u9~sa}t9c&ZbSn zs7|qPuujRJJ$r~te|UI~so{hdfQRe=f9KQ4mr1+sgO3W6w=@qqv zzc<;Zt7_QQQu2pPqoG-Zj)E}MlQ?nPPRGJ6)OoGEd>*+)ZC$BNVM4=u=jU?m%YN8)6yM-3e`pi}1dh`AyK5IC`!fRu;>UFH`D!k;yTqItAv zA=V}|WoTe^iO{J)#)LnZGunrYRA{xUa0IwqsQ8M&qmg2Tr8dKImgVd?l<{4VWoZb% zM{Sn9YkjCD$Q3`qH(jozV{)Xa0ou8Nb3LZE1e%&_OWy505 z!7TLx3J_>D%aGZ9{N%H)tSVg5|NT_+tLx}Z7G6kEYoSSzd*hPt{5Vvp^wI*9;1lSZ zL$|jrwk;UHBfwKoxML#8HG*k3BQ%1wVJP~wEfqA=@ z$25T81_ElWOZyOC0SroAT5Mf*L92@4;-S@ZdPrXS$5;ppUvg* zIu<;eVv>@|+(=uu@4#21kenw+M!ixpiq8y-V%#iRkN<%3iul570Rd%IRn0hv z@IC&lpjC`4&40jCyD7^doE3`l?G>8OP=iBQVT?Ns*C9yIVHO1P4l z8qGt~nwb}=NuE3GR{ImBnFG`p6rF_ zdCfqBK(nDazU{Heaan;B^rN0uFF^k- zI3&GAh1_3RuA-@4u0?v}kf0~fIc-S^)IWJhLis?akkba7(;CJ9rfM;UcVjDWARE0{ zt=)nSYGtN>vr&o}mkqBEyM_65y~vjpu0FK>C&7KbE+z0K@?~9g9XH}oE$v75IQN3z zzyQGw1qS1#2{>mgfsU8Pt8fujQZ&g!K_XFGEQPPKCQcZ&bWZEi$C&4Ja&StO-M9#b zBOLj3=<}p$@OyahpRYoF5J-d1JK8C91KIL(p3;BhU=*nji2kVzE%9dP0`Twl2rSmb zP$ANmPD$*L{UCcYur47XAs-5V@H3-hV};v{n(`a^jn>1CCpfYKFf9W-rsk$HrKv! z-|DZ|N9W&7Iikc>RkX3q z$UI`2o6BP}(e0e2?&uIvnq8SPYE!St2K7L7>f*tmUxXB1|kWRrG=sQn? z+IAfzDp2|3qX448Rw~(bfDo_|GKsml-#&dB0^5KtW|&tsqbed}fkHxds;Knu%wG9@ zMu;lPNl8gTGchU!I6vN1I3um7I1LrZ&WlULBqV?`f_Q&8vP>^770ZCKqt$Yu_~V5q z8G{1{Od+wbu}QdeNgX@^_))k7qAv0TtOs!61r8Em&Bg`eXlTGMS5YNOe^3nStG(eD z-vTWGSP5W1>>q%0K7G8>VcA7Wwjxo4Ifa?9z@ea4EsW%i2*8cl2CJwXl5)wi!P^j>IhX5?{FePGRAh@a z{SCwvD9HdjkmZ@5aF6N>yggGMYKLnGB7_UY;he{&s(jytM$*DUB{nSd>qB^Z&2uV- zSk?-~Aw_~vT2sW-#AJiTi`xO{G7Y|WFWnl8&XxFJZ=w^Dqsmn5<1AStxRVhqQc}dv zDN7NBjR|s1fjD>uw0F*If9w7b72Ue`P(&;p;+K^TyVKsKgsVJ@tAx7gSwIr9$G6WU zO?1NFD}48c%;oluX*2-o->r1{)mdfp-NOu*glGkXJ!W>KDH9MeavBk?D^Nv+zM$0_ zmYdrH7ub2JpZu~P)?yDBdU+|Zf$EY)+pOc~ORIg#6i!bLC*L$42OkAc8h))YTdzz! zP*;VgCC^i%S?pZzb2X}aHk#)?9lP~L2Yu&fY;4;8a6NnS@LfVP4OQa>x< z{~JC`?F!zLh62HQy5_m4V1QgR2+6qG^%^g5=m(k@HSa}> zDn73{t7f6X`)Vh*&7pYkx1EagCr+I@)!r+NP~_@e2cRCi24^g$Oe45PdCQOR4zgFP zb34SjhXTS6bnW@*uksxL9lD-&s6rDuHZo$yESB*SX3m^V5=_RrE~IU=9M4Gr-Uxgg+*K6`0)N)7;^=J0Wm+Ozscp z3&XSOGx&tb#fNo=7k8LXf;Pdnym|Y!hAP@xVQ-e|8Vor_<;5Fcnh zMTdOcec+RjN9pDbKOam@zlw2OejWGa=>-;{$;)lOZD!4$`Q&t+pr=;)KNeQFg#A_b z?Hjv39B*6Gy1KgJ;sgW?PQESJzaGik7_>~6uUvt<^8=lTOr&Y}>7R3B&Mg#lz7g(Q zu+u(H9rp#Qfwv2mznC~`%nPf4zNloXd3ZR$GaD8Hg zg!w0--1!fpd_VWcs;aBelFd54WO=)^!CUj@gwmrXcnCIpNzVPdwX`sI)BKUu4hZVt zkq12nBp(Nj3a+l${8Pw^+sR+TJ2qb1wjjO^kM8T&nn^k6&jtnub0HqSfBy$0t8fP~ zoRU8BRZ43m1mVA`G>?WO*c>Op<_?05@QX&+xx^5puV8#l_aB&_R+O_Ti%EhE>cr^pUHdQ|1rWK!y4l=EHR+kYGq!76`rz z@4U!FV*U!me7%Jwk^LM3xIE}#933sp&An0Ez?QS}y`1OhdNu;_AYaw8h|SD&hI$OA zD6GAq8AzGhsu`77-tu*iBtI-=hZTPH_Rvl$Mj&2T!Ef=Y70Ec5Q17sRz`2r|nwszlyASRD#sZM> z-W)XEiqrti7t$OIP4t&Myd#swP zPvhUKJ_V`nwIU=^Zen)&)8vvRs_)>avJu7<0&=KXfmbGQ!1V=7Ixq=~Dm^`2i%UH) zodLJElaAb8-t_7>TM!mrU{7K|{2PRDIFLYkSb&=XrWSpUWo2bfE-v8BV!H`TDaLgL z=H8hACXZAEuT>8yD=qE7e(dwSg4D_6z=6UO#5I4b3EMpt(aO1;WD7T z?B7K}b6U!;NR9T~b$Fb&;;$Bfcp5UUT6O2+M+1S(XU~*QwO`H8&+iUFDj~{==ost5 zbZX!o0wlzzlinwSZ`|mI^zg+A362fii*l~$!p~d)SQ*woq_Da6>{N%njxMM(8}*c5 zvTxQ5c~~PTK{X)|8DQ>TV5UuF^*?C&2(O>7fAfy@O}GRFr*yxU?Q5A0t^ zPhZ$Kf?Q!0A76U%=OG=lZtq_|-me}Jmt0qS@Gzyk6uzqZA7cmZ!t?`S4^zgtmoNVU z5bJ25E4@l;% zayeNu!)L+bL1)*mg3SJxF2PS>_m_uyVH?$iG5-*kfxI+$w=^pBxNz0;UNwSAO_bkIzUtuCX~DIDx?MWibwaO zp&=^jVU*fnw3)@tyLZ=fGGR~JoUo_0;^y4Tfze&Dv3K_$e6RT{15cD0$1|u~fC`{V_juK_#y3uItB=;nD6Nx}44(jVJ<{-dpL*K&9mr~<$oH45H;zqWg~blP0h^?kfr`8y>2{n7qS-w zZ!@(Esr7d*l;&^7jrqO|I^&mbWLD73M zG(cGAHh;cGLSEh<>;ULncvr8UMd0aDkfzy;GyWuU;tpUu0ZD*l(brBowb2jc(kROO zBEyq@ZS3uER()^zKa*~weI~TjX?p~cT*vc#4mDr(zvxh#fPC? zYN=13*3{LVfjA0G`oRZM?!t7{mYE%20JxkjAL;0k^Xiw|AiLJQFr#)6E>BHJ{>QZg z4r7qSX(YC+O1-th+!`8ERaKz2&SUEzKYMnfHYIGB(RCRc8~89X8@}#Srw)(7kK;{u zHXVJXP*z#F_eYO%2SRH%8VN@C#0$q1{wxXSF6wg!XBpB^M>pJoFN!JLe7sKlkB9-s zaq09jRe@mie6R*%2ez6W5g7850|oX6$sv4tFGA=l-`Lzd3m0Di*y$(P+Rxp;-*nw; ziwe>gZv5U`(;Uf+ooj2ND2kv3_;haW9FIlK7Fi|F1wt_26Xl3NW>%Kb-AWy(s#1Pe zUc7V(u3gB_pe?T4?T&?yhyn$~&wG~o`X?ucj|z0bjSAIj*Q8s_0ep>hdE*<*59?fh z6}XAi68sHC74f6YX1sqz=QjQ3&6_WuiU`Cra`kwJWdhsgyywqJE)doMD*RYut}HmY zii$2+?;1xnEp}l(!|02&ASTiNMYB9bb@C!r$Koiu5os5VS|KI~7F|HK#m=a}rSjS* zA$Ga(aonGDbK5taKlcb; z?7?ca4!H>xURj$c<#j=v1D)qcD)40&IvTU`j=dWiKe)u6?^>(0G}LA7{k5Uwl*feQ zm5VV+RhmUhTYFiDG{>1d^Vq~~hQ@F4;wxnC>P_}HIrgf;Ks*ElEG;dCs&Ea&;z~=4 ziOm}_XVUP0@?`RXyd7V#ppt0unG4CC`umud#S5DrHVY0^=7%)&C@vU!A}pXdbTeGe z7)722mJS*`A@_}Fk%48C1LPr?_5j@hETl3lDwlo)brM03P@a1{&>2tF@KQ~&-O|q@>Lf97}gY-2WP!Kyvo|xXko9xsDzZ%uWIxdaWaU{{J*pMru zb}Qdq==%HC{`J{UpMr5PXmiD*0qhZ22KdFhDhJs*B;OYHR zbz~JU!QWyrNI5%?TsL#2>t4|)8Uo!D%DpzQRgkh_;B78279*otzzf**J5-Tnd^}Lh z@d3xlp+koP?9hM+5G*qzTY_Iq^bzuW4 zx}rrTkyHlxLH}$cis7*Crnj8}90HMut{88GbQK;XhaDXyIGM2U*(S!vabT5g$K;+% zE3UG0ate+KAQuwCP!)M~_0q9?{eAnm*xrDhE-5MK+lF%&`{2mq%`t5FfnPCaO5vPk z1L4i)_84WLp}VQHQ{wF|SmNwM@a4ta8^j%D{zt$D0pj49U{)zsw4oQ9u(ZB(aXiww zq@;j5To>H1uv?hYs~5_NY$>2yCP?|-BSX%R$k7{jeq=q&W22&at7WRfR^9lwc0jMITV_P+Ays$lnFRIbu>y&UiWMkeh`1hhVF(qr7 zNBqjAv3h~3Q<#$}YsdnRjcA0UFx$-6m}sZ&gd#Cg0r+ymAH?t9h~vw3+Pz2OfV-j( z_k~<-MpfY$8N^m=K7gS*pZaWo&;1d>W8pg_&3@GBe2r@1lE1M;xA4n|l7z$L2AqQX z+*hAy-|_ZBX{3)Nxr-~a4o!Hpzswz}bggHnS}?^dWv4Z*+>hQ~3scjS=`oB)i;=t$ z*~zv+Q0OXh#gOf4XXvS-ZTR0Mfylcv{W*`<+vNKw^z5GlA_a-Wbv=@u>w36}!yfhsf%!4fv{ z;Fxs_WvQfxB{lK6xu&1om0&<~(#55w^8mF9V8O>yoDIQPRC@Ur=@v-xc+OAzAy^RO%pLmHeeO8aGhu8(!nfw9X z!#o7hJUKm*juJP}0s5kY^i!>QlcXd|Fyjf#4cAzWoewPi=)t=JRA({_;MYp)AK1Mw zS8Z(wTt@;`1qiIQhuj&8`j&V*vaFFl@)X3L9-I-kJ9BBMm21Mo?Iv~BQBJ#iJ8ar&2xroM3wLgWrR36lXP}Qm#8(GP92cYf#kw@|?Yu3@y?ggo zdSoE=cIXU~#XM*3mH6~UI|bR%mvkD!BA^z4J|Aagp{^7bj$FC==)r@rvBrzCYLRpX zw{OOJrob`RxN;2Nz9{zCJq7l?WEfg=K9* zc*~*3`|(e9ZGEr+pWJzMKOAV^kQwVyqQ*HZMDQH9Vz+XO!x7QqZ=lZ zihuak6!Q~Y`QIIGvD5xMUR;J34_~Y)E+SjxZ#Y}x8=QzsSC+)*Qt`rzFxc|nXl5mK zb(`$QPp%7GgfT=Lk|f+@lxYB4kVk@$PWiM>0YDR810HW=WCSK>WOS4dux~`fRN>RK zG}1zVnjh*40RcEbxx0_~`ckV_t$M$&q>Nm|MM#v783=G)X>;am0Z9CxOFoCnAo$?` zI;F40m&lZqVUtcGe?^`6Q4As%d`k&~Bq>gn#ecuIhNl8*fwsTY-R-OF+Ks?P4aTiG}` z4%^$yc?{b@rHl*@u>e3Q7W{i0&M=S(Gd?}uADf(f6hJWuu4BiKqnQ#D8Zal3AQbR* zXg>f*A15Spn$~7{N z!Jr`9fbh)&H87kYd3ksOI)OTY^8(IAV#)s@?ajln+`sp4&GUd}jY2Xd715-+lSrAT zs3;ATN;FGzC>5E~Y)3-MP@$v&WvY-+N`)d+Br4%~UG2Sp-~D}_-+#}2e2(L@_r`r+ z_jSGB>%G>w&huPt+ir3T$dJfu;6W^AoKk&#UTIdtnNJIP2n*;=KV!+WCNsv{2@tl} ztSjgIRfW6zb&wxtfp=_}oX%FAYOp&Aue3LB?(%_g1xPVFcbv^Ff^^ehk?2-4NSp_x z|4l-Nn~Lg8i(v#9GOfzuGrg+z_nUcQ+R%zmpE%b{q<4J#(5Ggg+8|D3ZOzg?OOO9| zfge3!^t#WRD(RDSY@{Iv22O(jxuGo5OtD(h-}CtKaiKT}$v+u3(LN0|JUI9L-$>J! zI5|1Vjqv5k>xlva0zO6WuNTsfNNo(w|GQ9h(zh8)mM5zQiKOkGJZGMu!V@<)H-iNW zjCQa6j+RG2z=*3+-|NB`pI=(uD13#JjwNwnJ+G>75w6!Qan9hU!ruFLLmoZhYjZLC z|5oK0H}s_Ile3>90A5!au*4#K1&^c?#GteE>fPJaW!hHU0&qy63>i66WzZ2@TU(!> zI&um^PUm*;`GH&i>)Nx27)$=YiaqdV;1|G+`=r~*EHtXEl3-8rqE-TkESf4N3yT;e zIe!)@@kj{?`&FxK+S`+bPxwUMHJ2~-Zz3i(cJfCq;0gMfO23v>N&D(zlz;*6Z6vr;HoUQsA0Q_y+lp|6oD-S28pAJ$JD|ql^E3x&{FK zg_edp3Y9+WmT?L8g0OAa&@+FM^9U_hOHkm(guAG>Sm1YCn_i(lM&Tu>KAdM0x4=+! zW&CK)fxQa&60{qY2@@=K$@S+`-gY#WJa-Q|$-lX)*rnc6r%a4FIiC%a^W*rRqA*e< zm;X!_Qqkvxy9^e(e0iLB3M4=GBfUEBcy+hId&p2B- zs!5@B_kTV@-fr6!ue^D30M}zfxz&sTE~%zwmN=5m(*=#z8#K6k=bYE`X|B?~c391= zQX4a7uP2XizEF@X{N(~~HfgZ0t_&U}qUU6JyqXjpg!*952R={jzn}L!>)xNG&i2j= z(;qCY17el2W;R}8@wm0W~w{C~Aa0VHW zlaXN~sNUK|!^4~pT=sSjZIQUfmJQNTtxur%%v3$B)scc7_#UX_jaT+GM)g>PN`W>h0#c&Qj0z>4s z0~n)P7Z}eF_zoUSXUbD>)PcQrA7#O$3*00V=GXgeJ(P9trm-x|T({SqRmLwcpgVf; z`-dTNC3n)klK$Hi89bASzA{_wT)!VmX4a%5*q(^b|NMJ^o(9#!R&HXfTW`AHzK zP{V_Y5H1+l2?OMC@1gb^HeA~qP%!JzS&pGHLfK!GiIcVFWfZ)#r2cCktoxkmEuYq2-qK^5qVoOaeu|(0AoG zl>V?p`u6Vq+^$!NP)cV!e5+5TQCDE*_`uHV*!dUxoN9+*VRkRStfHd)Om_qR z9(>)aif=RLqM=qR982zS?9H1HuI~;Cxj5!irR+Kt$xBUfT1o1@i(dFw#=Z0~iM|pZ zRG4}CQ&CK$78}ILsRlrS<3Mkmxv6RGn-q}3M4)G#;Go{jok-bQ`?>t;n|(?_W>Tkn zt(m+bUpu>3+`Ct==hrzz9Vv^vbzzapv~Qz-om&)Gm|1vWckgM@pF_hPQ^%jbcFmy} zK2x##Qb*@;N;empKY!E5t#CtxLERg(y0$aLBj!KP_~3a(xVXf?MGEqTH8akZ79Dsf zF~YaU*Nz!Pg1}S3!E4(6Y(TN5XlP7OP)PP@pE-#mtQvfuI6`1t&p5xpS7iU6Vy|DX zdVO0%e4dVunp?D`5^`>B9i2l=X`@Bq_FCInNN0w0q5&!va-mhv@6YE{jpPJ)Hc%>#&3?^<`G2*5m$kN)iRZOgj>|^S#8~Bxwoa@W@VWfckc;)KV$2rSr`DG2>-u!ul zkYv>~O&*@?D)ww^>6U7EsMXfZb{ch(pZ%IxT_J5f>^&@n%F6EqPvq_kqcnmEM7}m1>>i3Te-7XzeTj*36*OaYln(cV+*0>vM zH}8Db!@uf`_TtA~cg(r5w(ibeyAAz9+JY0jP73R4NUy!x7pjlx=s9h;bi>iiX?U^~pt1lTwqC%edDPrK71+K1*fA`)3Rcv2kSwIV_ z^_QEiMo%_LbZDqOEqj{oBUG2)OKtl;K{|P7v-8@uS7Kgqv2KU{z7orSuH=xAq*1vE zdkrAp#RabAEOGLD2!EfF*8&rEvyYt$S&-@k{DAca49vt1TQ|4wbmUxLPX_Fh61Lo- zy|0A(FDAAp1H`1ZEOnWTgrLfR?jS2b?TU&~L?H^6nq)WOZ6RCI1wR!PRdaOcq+qGN zO-!B_cwS=$^mKcz#cvFRCm^=}{(7%tk3llD^hi>c`KJlGEiVisSY_4R7GX2 z!A9f+1SpD#j)wl!%q2oJP_s|#USb7fPGjQ4%%@L}`}h=^eVe*hWrWyK5dabP07*$d zu^ymbbg6)%r=7_S;zrnriKO#vJC)4w=qsip^i}uVedktQT%@b+z3AxX?R|mEO8_tEA-b7aj2J^h$pZY9#4PpPs=q zF{g!ih++$U!st-+%cpRx`LmYq3S|_XCpQ4;@V7a=ghTV+m$c+R|1`~YGi~v|X9WED zPa?U0e@FO#kc$8O>mFcSu|2*&kUa|phwUv6;$l4mgV!Wse>%?nX(RO#zNww+bzueU z3F$k0>Q`WR#twMuof+FBXl39h$~7=TbqQ+hhv*4 zP3Mni09o);ia%*wS!$~GXr|C~yya7oMh=B5hzWvt6l=6nh#c+E2iSK>Ya=7U3Zl$-%v^2oDs=3Y32TfNEjspLSPsggHf9J2 zB&=kW$GfA%+E)A=&t&VXOs#|S1f7=B7&=CKTXX8qr1{rNn=7GazJC5Zf$snCnpz!2^(?zxJ#7%hOkqTKoizgsh^bG%5b-)vNS^;fZ2jJ-Ntw5xHUwE4Q5+ zQij186+**CAQl3}U=?!;*UvWo}J*-^O zv&CL%(xlBWkYNt+C+yUblU6NUw=VjSb#~X5hpzNK!9xHMXyB9I&tw!2IewoTfs&3v zRi%NG?=4npb|+CH7{QIv($t)|>?s?z{YU+Z+$ompOP!yxMnM=l?!AzZ;Qvs^<)Hh- zEr|c=e5*UX$iX#&TSKxG9Uc8#WMXB%Jy=Ca={IhVla13=Z2qmJd+E7K zUXt?Ksbk;iLaZIR-YV9%`HcFTjWD6?Gw5aG#mSM7GeIuHcYhz!wQE;%*yYLfpE4gm zUfxu~E{M82pyld5NoiltYGKk*LQ{Cg{?^OG2MsbWADIVXmpEW>D|Jz#avn_8V2fUT z`c&Szq7*wJ1LY-yrDd9XQmTWr6|Bjw@vgM9=04&Kx2a~z#EGQCHCwF>$AfqHRNg%w6m&V!x4-X|E7f>(aGhH3w(JCwg+6V!6m8RiZ!hBRx2f7% zS!p_#PE9{v`0!ylEcg&-kF(dOFDy&iJiq?&JQ3>=Y^1=oyzsB3UMlaBFBwS{oM-H? z{^jNVJ+#jFvA?DYc;OW1lu9eD{afDIvlFEX+{;3?f9n7NrFj^r^bqifKpmqJfW; zqYo;;P(0LoC{vAV-oJO@vM5ifCYY6biA^?js%5~aQlC+?X2K4ELIshpoac$bp)e1N zvX%xrkD?x=G-R1qGLb@nN*Nh#S=6Ou!@zqUO0y~{UI12DkS|}o`ho)qBBM;9QfMwC za0=o+h>EE+lcp&eD>k*Yzjnk=h@gXAV5oQCRvLYv>XVmsP;p8iclZI&& z#C;-hE*`!-ng_^d!k7qJFU&^eIYT{UJVU=xGoL@Oj@Z{~w*%8ME|~n&_U^8q97oKy z9yxQDz-o-Oyu&3@oI2Sle-hP6oc-q4b(?4F-C0-w6c=0W)xJ&%NSz5{gn=P)08ddU zViZ^!{DJBHpH0HOT$bcAPtw5QxcfwPxMyF#ZiK`J$p|Na)vH$VLB;p)zXNmQQ;J+$ z%pNtUo;`gU>0dFncxbr!wyPZ+U;zol4lqE5P2$la-t!<&RcpCP=;kH)8;?d!?)ull zZC(CaIC-3k%A(Qz`{yCKl9}cX5+Kw9m#1ga30uAUI5_^cq)|sVl*An@QM~cHQ&Tf{ z*7;?^cyV`l{&59imGcnFeY!?{_Z;kC?bC<1jO6&ZG134G1n~vqfa|8LdA7%sAR}y!SmDt3r!nO-XtD_R#7#a4w?7A;bbs;Ug}^3Q1oZN)zJ5$-hfZDPm)Y!S6SRDB z1!S#{)(K3jJl)%caSX#qIxkmPJ#L-St)6}D{JlP0|LxDJ(Gzj#Kr{`iZRBQHSU@;c zwcDrj(srv5{o=|Tf2e02Am~W@s$Sk8a8Y5yO*`w=zx4I%qzwty#iPP!{j89b#yJ0E zi^C|B6U8rILQDMo>S`d%f<{Mn>+faX&tH!%Q%KxrBp33q%><6#kjF@VN^jl%%va+rbVUNus!JvWhx9x9O1CZ^ zVQ&?>d1?Ojy+(3k>nH#hO8e5_6@)`^1pvt^{kua(^~u3q>qb-`nTs(=hs&b87CL>Ze}c?@myJ?>KpK0-+|k{oP^%%aP$; zYoJ4lgxQm%#U<5P*v`W|ZR1AO#m;Ne+EjBJi%B$dG%T;MVEY@dS0*HZgZ~ z^Q%QoJTQRTSd?Dzo*#<;IPBdEYq)U7D z^&hoO`k8~+dSbVr)17oPuchTF3op$cKPuVP`PN6$%W-mYi%zTi^a%WM$bDkQQ8~M=3$lMQ zbT5@_9d`Wf%SUEj=YoSRmo8PA*2fAZ)X7=w{>mH65iT_h_BamC4!uuHUTR zhBOESmMje)!Z)bv!etXK(=gCn_pL%kP#BH3EugBhV93@lEqb`Y8XM@rr!%YULGQob zNv$#f0tz0pH||o@wcjgzjvN^)opk=xw`ZJH5S$7dV_%k(Oq_VGVG1Lj#%(U~W(=Yr zC`e8Y8G7#rB5TDdQwlRP*K*trbGmCzoZZu2?2$#I2f1)`y;F~Gt(RF=-pz3ZGs!QW z16rTMrx*qDu+*5U;Vlm*7o2}pQZjzf=UormR8vqWLce1_GLpzs^ShzBIj3YS#0hbu zHESZE&gq22*w)_a`F2**`8cozsuNydT?0O<*(UD|sA4%nqLo)vWRT@3M;oWJ<&mN< z2#ZVK?!Ig15lo`UXvrz!)MgDBQrmxSJaPK;Z9Lte2%l!l^*LCyY&b>DlG^50N~`H= zYA!?@@AykaweRN!J$cu(i%D6us1bE+0cJmQ>*NfM1F|*_ul&RDDz*Iz&?Bs&oTB8R zZkjV^pGcaMoRiLejtGt9y?ffZ3AV2i71mBZP!!fltW4<01q6t*zkK)(`#;3R#|PZm z2iAcpH5ozJRG}Y0c?g|iI2j8_>p?4VStkVvui*WG66_b@>#C@{iE}toYiP36C@wtT zOK+z6MZ?D{ZMg<=34URti%T3qyrCgPef=;G=eC7vP8XZHE)=04p~luwE}k z0QV9*vjXaM3R0RZ`;gmp{*mcZbO=vR zaay%v#R?~VbhrIKhX8DEa5=y#vGn_c1a;Y>*!l{`184lJLX({X-q}Ld=MY@9i2d{*KkW4@zcuWv8)Fmc_+aY| z|NL%y+s^bO)2chi$7Lx7SX*qt6M*m4uXpc?kKZQ`)qC;0wDio+ss7Px7cA(p`Q2HP zYI5}RC|Y?U5RhliY{R02nldN%_K!VQCVRCF%ljQRE8Rl_>{QEY2^v=f+U4P-XWuG* zwVhd>WX7zJXP0+T$5R9c`THZmRJOdn$9-B!`N}d3h#(;)Q~0rka!x9mjJNj?s(Kk| z8gOWLa!zY}q3nQ>Oc&gPtduE^WNWULH?rSVsGemMM#>f&E32Uew?Mmv{8M^fSM9m! zQeV9f&2#{2Afu5p3g#1l^lq*?22xIH}?* z{*Zqvx#>4HCre@3h|0|XW^J50+`x%z`#-8H@0&d(U}P+Q|5Eg{aFj-5oXn0VQH84o z6_*NY`|lqUZ>=})*V5+)8;cZ(9klj!@^>BuHL?kLFi&K_09TSHk{PL-8~aN(wBPeM ze$(&oHaMlyisW32 z*u9z|w^ey#Kd4jzb>F;s^VqRt=68-q#9S}i({K3H{(t<6XL50rTB{7eJ=d;Z-k{PP?iV9fBVKjVV*UJu`T5>KG zq5<);@k`mP$&>xFGd6kC>yh>qoUEt-P`2zKNn5q*1NVAK!kT&>3+@`a`-i@^Pwg;k z*NMY@OK@pvMZpP`T@VH0O(SB28!xT>k1vT?{pgce!{ra&jc8YOaI9mbS z{*tRf*x>nFTwFl?KNCxAY;Ei6>ewthA)zqm_ySBV^d>JBzN$H7W#T1z@LOl@F$Jlw zx5{=)jT-f(qGAAr3ts#{8RWmH){#9@jsx9u&xdA=R}Wm$rK(HcKNtk_0+@pN6Cj8+ zKp6HucI?CAqDQ;S%Fx&m2cb1lyu@78aiLnbei;T<@(WoZe5RYR!f1qCyt3Th-s>RU zvtPfDnb(TR@`18~Z!f;OG(}5EiIHcgtqMHaTgu3TCu(S*Q_CUtM4!6pH1HOIL-N*n zo@rcast0E>O=YMdhy!+3JsZuke!Jn_+TQcW@rM$&N`s(s6uf@zPT2rf!2~8+-!&vyxB8e%wbW@UC^)hfkYlrj zhMeEhJPX9cx_uC01{&bHh=Voy6q)zjZA6EkXDR9li1S~eRQ=)T=c|AUu6J@`a$`pCuB%m>-_zjB zIln9Mn52-1hLHif^9Wty)k!dbvvye4nuQwBWTJmk#)a4LBlDX0$t?$4J-Qz_6w=ymV`KRYXY z*%nTvQ5Ld0poU$$_Jvpl8G1ejyEMV!d3|$SGa|drionCED($<5-~fD(-*zU+sk?Xp znI@c^pdhCUb#4#MycP*7GoaUDpcFWJj}7%2L1l@<($=x|2TR3z?cBNZ!&_l8h4ZUu zMWuF&kX1*07l81A+#ee?t4)|nk(I@6=dXxyg0GvFw(zMz;}e}`Y{MA5pOkv-EGF}%q_mPUqNL3^*^-i7|MlzWK~BFKD)psl;KjGL zPh2KAsyzCgd1h0A@+t$kX9IUSRtL$;DmtxL@zAxA!6$;U30_(LgL#M9DvyV|4xIHu zSXpCDmY(F)6E~t`Kky?Y$79=<57}z7Qb=6hR+tDU4nj;wsZdH9*y1z-_RiX`e+k@% z89H+=Ugt|8&x~vR$sY5PS62`GxtVi#m`%6B>$4WZ`jqsA`bEYpcrAFe{+cq_$KeQt zJu(nMVSjO3ywk5`LC!;3HOCQthFhF>!DJa3FL-b8Zv^WoA}4$KdF(x7V4UX$;nl!vtRn}_OAm9u|B$w`S;RtS`c z6mo2OG%?r*Hq}~@fEgqN_6d9yZ>hAKV)<|Auk|NRB&Ws^JD$IIanqx{ZJ1-~C(r`) z_D>GCoter%Ra*tYb3A8r@ThEHyP^Sf-T%>a($HPPN1(zb2S*eSZ2QR6JIgEGKD-?5 zVZ-2_Gh1pW$!51Pbn(ijdn2mEKWON|e+oFg)X;DvG&SkS?@vyU4uF80(i+BqT9s4% z%~GcTs{&GYX8va8+MAyr*L-g!T-2wfrF7jGy)@f-P<%L1b$$LNFF%XrkteWfOt+%f zBdYlP*?Il?T&p96f^>;Ksj-37SG-Y-sG9qC_djYfsC#E&M+z1n=}9>u65@+vdS^@g z11O+;ods4(K8YD3u(|+Y@6UDETY2}|GL9EUWsU3KT}@4GKx!CzJm_%J!kCAob+O6( z^i=Fsjwq7iKaLWI^3F>R<~fgQS^Sezi)-a@^7iyZB{u4kh4?$V-f6a8i+)$-mk4QT zN`{adsCJw1kklgb(nM>DO}3Jt*>`a0(zWYM0^6;@V{b8l&|Al(sJkd*0)z{xE2tEMpd<7n<`0Xd_)+U9sZ)DfIJKb*@3d<=C3L6AuYP z`2pQK3sZo*b;++V$)ih80q~&u<(|F^gH`u>BI6~bPMGEnv^3}9vnNlS8KSE|Pg#S9_UH587ixQlQR7$GJ*6cEREDD*tAoD%cJ--mu!BKWy-4@75%>2FO z8eLLs4nzs8vrnHKs~dTot4`c*m?9fWobK6qA4T-UWxAI*4sIdHmNp(f_L?Gjt4t{R z*vD<1=Rz1MYQ-{tf{Evyew)(-BK7+(&mnX!k#^a#C8mDss2zt}%{%;l)Mi5dz7rRe z$G&43iS<_=$eQ{ga<+HwfS{CInEjmjy2N8cXYmjZ2^|%3%m&?B@p^5R!uw@Mf8Y|pY*8Cyw^C{Uu5Fw zpyf1b=;A_ZQoAI1jZk~fgC)UV!qHdX@a8wNFReR~#}$g#J>|blY5KUZ<7^RDOA=lO zG`mD@R_a$khc4&FN~TjwB^BJH^jqE2;@lZGyY0bSHf~(LJ0h8ZQ+VS~i=u;q8|zAK zS*`5$fN%t~E??fv@Dh>0O=x!0ke4T3vpb*fFp>NqBAM=!o11IqQHHM!Q18<&k+1&c z0_5iB`;A)`KYKlx+)!Kz#0^3wR||}s0D;^~I^y75aUC&#^^`$gg0~N6)9OWcRl$T6 z1|4}_TFPyAPQf(!P*agU{JwNV;hs$5T2DuuXttiGNl8q7vOt8A?=$zPF%v(h8md%b zwoGe!;BKMycbjGNP-Qx-ECMs=8Ve zn@hqQc`|Pr9u`(vQ9;rM*R`CI4W#0Cl6xL!fsmlnIpFKl=GT?>MUO2s(#c(gyWGR@ z3f;uMa3`DWr(rX-7UZ3S2s~RDIVIR%fBZ-}wHc=mOs7Q5PYtg#d%y2}jGkMGg0@Ft zwMpQsv2b}$nW%E_wlDM8O&elFw3)%DgfB&j^Q(?%jR<#|zD*zxKruqFGn~0v3m4{4 z0ZK?n44SYsr}Xtoj-u&34%N5@n@``SIc?e`sc#%pCE?ibOWj^7XfI~L@>}2=vqfC_7tWPC8xJ(`U%&S{{cy6lm8GRn6L|_5F`lgS z>=LLXDNoq4_%*6doQSXQg_{=DGuTd#NZ#=n^b$!7A1;j7pw{97U|5iT|BkwLS2`5* zk~ZnmS5E2HK8LHdTCe@N00wEy5y6I~O53%J^QUH&q+VmPe--BgL?0-vyC{ezfT@x$ zgoH5uaB29)5mPsgKA9zehK-~RP-~#UR)6`z@%tV4fLnjy@L?d(R+bL#TvQqPZ98Hu z%I&Pbw+Hln9=srOjI^}<@te_>v2*IS2;mL*f~$;wAC2B6_l)K@lBld@??{`8K|=a& z>QTUf&AhBt{3aPR4dP%b8GfPW#b+&kq{l_@Y;to8tE7frh91PBIBDkz7y*rMOz2C{ zs%$!y^Yn(2vT~RSHkOXB6}iBx-`#dxqo|p975lau2?;Al;@0(ey>Gf3 z%wov+8su@&2OBTTlfm&v0q!A<$2g>&E z4(26`M)9`#4a0g>+w%MRG7^j;{41l^fnPsnSVZzZB^@`}gpOa1UPPnf`uQ!7`Z9xS(_0 zLik3E)B5|jW2r0cTuU>vuynI4ohoI2we&5Bq^42O&#heizdbx$q{gWw(j;_w5~g{%VnsRq9#j!kENz>M%R->@X7w<(Vj2SE z(HBt`6KKJWJYEE4m2b_t_?Tn5@Z$Iq(o)RBncQLL;9zEH$zGXD*n|%|wBz}KFa!9Cc%^WnCsXx1PA8m#i9LfZ0y~m$0^Ot;Yzo+*1V{r zoN47egyvLsVRk2^pUm3=oe^3ccuho9y;Zc*yw=mOSI_o z^y@c@iPj*mjo-g7x#2hkN;^FX&L^L!6btdnBm<|lYwKR$ZYG@qt6k6461@R7$n+(K z3>ku&X5zG%yICG)+J%SbyG{=cO3QdM1LTecz-b2<4a6h#^tppL6kHA6AEd9jp@2G@ z79P8dnlta*HL$ijE+tpEvr`*kfGLN?C`YPZYD z%*5Y$2c3Gt(yw2?fIuKy(IOEnBY>snJ(>{Y@+KU@lhB*sOd*w}`Th!X2!K?|T|{uz zWvL$Xx-H9$tR35DvHSpqN^Q#90V8%?nTrQ8ehIc8(UbE(bkn#qSGevg>z(z|z#+1|kxZxI3L-5t^Cr*zt?< z+$#c(UZK+XF8I6&T6`>UJWp3F+?BKUlh5g~y7ujIH&tiNTJ~!;nWvX7#q;aeDIo7u zs8nDaojf=u`Od;~i7Gd7OkcH0llqO&;xL}V2&GP)Iys!{{U7e3{BboCxquhV%Cw`3 ziY&6ahUL!6`QFQSs^jKUQA2o^d$r%z)~?&I;c4LHAJ@n+(B#A6i0_biV9q=2CV_{* zF&?b{?|Yh^ux?TtzqvL#e`CR8Fmr#K>_HeV>i?RpgUQsU?Nrxn^^w@J{QB+`sFp;# zhPDZ$YJl5;o`e2#bqYSK`gp}aTSCYuIGD*6Wd*DG?#n%SO7JhC4(Z*qCs{l+I2${= zG3}|OM*^AJv#tAo-Xt15?R zKn`1%Y))b*Cz4nlyn-`0piSpLZ)Mms_Y-~qY>cr2$vw6b9GR~oCtZE=m_Tf$HTDvo zrG~P11mROUE;iQ4I`O}MKYnslP!DlZ4+>5?7s5Okq(n+A9x|zDV9L)2P7>03yhkW;vW(c0u{;M-?jez zyui`4Nf%Scnr*cI_fzAzf4R`({xH;CD zf*?<#3zQGug3V8= z`Gw~K7k_1mt%b!_NKC@^g+5$fUJgr4SxE_OT^QVp)rG0+*Z;hyp*Zh3NA&XLOD@3P zT~E(t>(;?_%cLVo%+~Fhuzi8%f62KK-Wj962{7Dr#~OC zvzYA%eOMw7v$VR}TK}D2T|k3jo^GdkKzrMC#6MJO)6tg}3ZJgsm*xpC0=v;?JF*v` z+zqS@%A?AWNxw-T0ay(L6WHx-zmxvYr+e@F`z}XVBJ8D7^<4AdKo8E^$iDOUaWyqH zHRuhY{zYm16KNvk|9)tDya9<}{7K|-)n+4(tVEK;c_R`uPf}7*pEmw|OD@d$`;i;Y za7PkAsSG9q_fs~Mvl`6u=GuY`LI^Bn00_XykKcZ-D~A9~AA0JvX&|Mjh;M8tdqd}f znoPEz)AHr_%Io2{iv}}O?2Nm`oH-rE-G4SXkSD-k<-$o7Kx57zJfsGf&9E{wypBDc zv>>YCfAcKxb>rw}A;A9!iU=yzP*;EP?AeJ&& zz~(_&68~9V(ov8Nn?A1iCZYJ6Z^gt1A=3Bnerdxg0*RlW^njj<(!B$+F$#ce`RjXB zWT!FGKsUowmurKYkWA^n$|x!-N>8r@9t{{eWRDF1DP1dAhYf!xf)QlrtOOqQPw2(q zM3hVPl3zedBx`_Z$lYKpgbY!Q!+G4ek34JYX|zpNxE(8%4IDZ&^KK309rXzL7o7|N zXyQrpZX6_ckaMsnMlo%n;x0$1zJY z@20=tfGSmxo2#o#D0dLdNAzA@pv$884HEMw|4@MBNK)lqY7t?`w?$Op$Ua`7maEA6)Q-M zN##;7-Geq3dxI01HyE#=;MaP4=I-Ccv|6Yp2`ERQ6F?sT2q`EmlnsUFCy1}+&GV{r zq0QfPKR5SkMF(zt8PXbQEtd*U%Q^?@*62>TK&>0pNilvC#w0W#gM0!sAhsZ?QP5Nu+m2hP%-FHy%p+*kfb=#rHy`)*esA0n z5Z6FYPk4aDP9o7w5e>Q~GmQ8{9N{+80})2CkmQ`pG2 zVq?ch&phve>2zKlCcT`1Ub>4HqYS-L(VM;-J1#>d_T~_+t4e%N(F6@jr{tM_7DbQLd)q5g$73_wTVLhV{&p zLWY0DOT2OXQXE_UCw!k*QE%A!)9izld>%+VMLXluIb$zj)Uqua=H7gY}6SMjCv-o=}r&{7YsFRFyJbiv?Em$iw zconBi75fP>T{zlHk2BbXPVQU1k#HZtH<^2TBvSjE9kxEr zdi?lA>uruH2CiATXa>0rnl?=1vM#GWY&d3tGfCW=KI;>xxLZedQ#~G1`t`BgS$dyzhf0g&D4R^_Yx_0ht>bOy? zfm;jeHa_VNHCt_`qV041VfJ<`E4*Sdj&!%=_#jEihchRyD>lrs`~LkqRg&pnI(?)= z)Eu%Xojf07>`salpz$C-;{$Imss9k;zKt{1rCCC<88W0lI;KSg%sb2ah+XJmxS)er zgz+U|Ww7tp!$NuV=n+Azpy1^9DcANH=61WZP+O8|0Pq11d*T`_6KgeJIiiIO%yQed zZGwp25cN>xL!-T%(-MMsJFWRIfolXvzzPI$HQli$zz&L%pl4ve0O^pWOeO-4k-lhX z`SRWx)Jp`3aiJ`G#+O@g3)DC${qF9SDC>Ch)~z6?oiV-6!bfjZhI5glqvr*>-cZ@= z_@ik6lU2*@)dUmwnmh@7AmOPg<7DqjStaf>a)x!*wl1ZkmkWuK{{g+8V%lb7Q|d3O zF;Bsj@|=bRse;LRnf!|({d7<5*#&VUnJq_Zgh{l75rr-FF?zHWoNA7aX!Bojott0N za%@02BovsaBUi3`PD28?gd@j)%SIxffCZ1$naoUgUTj4|G?=AOma#+A)fX*Z%weZ; z{1GHF`}>{@IatHG{FCYsRK;xtxJ~`nPbeCCpSO`wZ8=tp5$ZLpRGz~y=7Uh4GYv5G zOAAqtn~tB2&ayv(IyOPTR5xKxx}^*>*3151a99zPv(WO_u3IMzg~c;P7mJnNKZc~<$BN)1e?Q{F3luz8zMaS_Nwh| zbzp$nV7Q32lK~k}P^sx@ zMhlE^yZfVnWD?c`0T-*!`u%l(RfAv>C=`u?Ae)KME#c!heR9T8|1 z2oO=4sv=;#b&KXi6aHXHKJ*T>;55D%pTxqzGJ}8jbJ?k!)I|-CQ5~Gfe{8>I%{B&~ z$J!=J~s#k5eD`r=3G1>)wJ^7o(}d=s6EIVydqdW5LhaY9ZJkb<>YR9pI+@i|4gE}a@AgB zJ&9`NZP)NiiIYwNSd~83uW-oLqAmDcCC;Y4FYd}gDqG~z9t=C|bd?MEp1HNRN`-eB zgy?`l{a#(56bS8=6!bdn?z~WXBykVCJ)zi~_w_aUpd!)A?WrBjv$NNSy;eNKw)T#m zV^PeASAx98+kM)aXoy$l=RAJ@Fe;4IHZ$F1c9lz^-SbyP6Lr#QY#)kM1{xLSSLpRL zodvfoT6coHyrG+t;a-bas9>n1Xmdbs z?XI_eij*z^+kOFHC}k7*{21+CbZyZfj%$Ywu9$^ZcN-j7zEm#yhvQ7s@zK*6Me{!J zLQoI+DsmNKIl?q(e{9W%q?#cb8=jcs@U@W)hZDie$A=EcaCQ%=RARF>7jb#vDPugo zb|g@KvKM9Lbevb&1E|Mruf?Vz)= zSfm|x3m|#OpkHa_aACThl=!)^m0`B5aBvMtBRpicY8VG{(_4Q0phYOKRAJANA66X7 zYi@2nk7y8n3biAVhk`kQZs(1)1&6Lus()ulOXV+>?d`kfT*RW_q-f>3bxQSDq8iLT zOfmTh|Jrg+4JeaDSx<}-(0UCJCqZ-vf3tT2a(+D1zsVYc<*q-5SQL2TElWCSpQ6KC zd>HJ%dI_z0sEHd>jA!opaZhKcxi*Y0U=B}tc#UqOr)_%QS@GAUtrNw4PU^oA6O#{e ziL%D#72ZL`((4qdB@{lCR(0>+KhRqaw}J&0J8~e)aE@#jvFE1D2)TUuBM2jgZi3W- zUFKreMoCI|7Dm44io6C*x2P0ckpb>PsUzgaLPJf>H10HjJLy%n<|7!q&gZo+kbbIX;$ ztXQ@nBA-q!3=e3k;zNffL2B^uXs3w%yy+X23#%4f&7D>&k{3jk+sZTgs2u4(Vnizp zrM$mdkzhuTh-V8k5SX)zlUkGYOm7Kn)+$yogQG-@Rb_B#ro=!tko%9XW0qK={-jEP z)a>=w8PNU!clr1$J2)iBjE;JHYk9QYVc0q)|HFq5OaAfz=Ucw~f|r+&v3|ylg+zqg z1MIl*S`9J^>zJ~SurV>u*@?3pM~u)rr!t;8^#_YYX$3n%YWQ%aBCCZsaupT^c;aT4 zRCK^=4NSJ^N0oGa=yfProRC%g;v(4-4j7&nQ15P94%EOK$Euk%o}Zwl6_PTqsry0jq)V(tsqDQoj(0>A#?(`DOCviH4C#dXfmu)mjoCra3WyJLgm$8T;JC?=LJ ze=E`rUp_A7j~JO~2VG!0*U0Y);}bMBx6`UBU1e`)Dl+R8FhI<3K1U#qxTjU^9te5X zsF?zb`0d-}&h}qP*cb*8B`8wF#i6XeA&H|tB)>Ig9+fmjI%*Q{s=NUzfdl2|glWul zt$E>Nuzd)phq`FY*z&|1W~Vwft932h)#tL;_>-hYY#qpYqc{Z1zx^byM`uhjb=S4p z?`!H@oyV0#dya6wM7{U-nhP^1t>(?weV&(B61$?ChAM8-4}lCs*=G@u^ckYM$9*^M zC{-7E-(sQMysp!K5obN|C3|Mj@Ghh)M{`vyZEWCcRqWf>QTpX|yH2-TbIxeS6EMM1 zYUfh^hn>F=8(YuT6dg84Y1T^hoFt4K{!m?=*=orH<`(Krzpo}pq>&U0DS_=&e7Kxf zUWdn(y>k#*&Fb-jESXMZi07QSa{=c|ynZ(pEOwb^8A5hO=H%xI0bz{!jIp6aLEI9= z^RPKjYWAGBsoo;3myPfi6FesZ8|v!vEz!B+*T<`#v(D?8 zKAG~DM1EARjpF{aaAT4^I*^jU_2L$mURRze4!y8r#lsQ(eH#~yh9^ZPGGFk$c+CxL zUZ+ZM1)h`tni87+0E&9?Bpr_K#BDMPN=geCEEp3C0^~UZ6j|PgypB*T^K0Egp;)8x zSZR`lQ9tAeL)Z0P%x(yklUqe?Em=s1yuQOZhgQ!Om+*~=`3!z#8T$}}wOyEY)yBtp zJNTt`4_K-M+=;$l-1kqhxv%(TTAHXSax2d(ap@Gt`FnQ`?bh7UAe?1_s-0$4QH0S7 z@_Z-@-#{0M%ZdYf3LS_hxkM#F!?1Lbzvqo)uF>_J3eQx5 zwTRRbDke*i_t}q1dm}S~7*F?w6!A6t+OI6V&vV61a&?HDuV3lHtpY!6A&{UMKjn#X zC@XigwD-Ux>pHDntqY4Vfm7y)a)sW)B}-nRPWQU%=Hg;MqF2@~GxLQ+G=UQDm!0&= zuegJQW-l_>rZ-F{c>`OA77k}TSnBu2Mg%OOX;1ptL>2rg$^(Atb!=WnMSdlE+Yk<1 zL2s=*z+KNWWyg(TYvejHQr>n461l9t8>g>MKAnxd;~Yi(XG zJ8;`DDb~F5wV0S*LFl|*O&2RfL1)+%=m3wkeuGi;w757CtW>BvL+L_eE33Wt3tlMj zLdJ-L9DF0NuIQD$Yp=@8ndkcKUykn>arRzwM=}2eNoK-`2*KFRCeg6bVSwrQk(3c7?n;^zAWwSu>Ht0wIdGWCkz(G$D~-z#81xa z+mFaz+rKyfGE6x&Y+1cGqeKL6D{&u?Hri`ELL}0#_i>vaBW#uuo!6mr z`gMN{`fN8ZkZJmDJeUTv#N{V3CYSrRjGnkZ*FbKJFb0-RwSv{eVue^aJ%`&ITIy=M_Es?|VeI(F{AS{IP zn7x!$IBVlEQyO`&$j2!I0N%^UNUgV zI^-Xg?PBm$1VTFbZd%&oV72XE-_8c|qC~rslAFdR^+Iia zetuflIm#!~dYn=C7-Dn}G$>8(sIR~>33Y$owcp6-%aoP*70mb6Gml zdf1W$9rie0@jK#Ba>UR|Zxw)ny1`qHg2Z7O7N%Kd-L7@da;!R0|M$Z%m$kmH(5L3E zwn*Z3kNAV@_N&3PBXbr`phu4`C%iKkEF4{2JR{(_g0|2|fN~@_?171Byp+razm z+1Dh#90itl(?~ISn7DKhU`VnQzI7)WmQIZ)89U%d%fgm%s6X% z#`HznmosYDjPs;subnH_L3=HY#mvaWGUqb6jf0{DB*vvH6p%=S1QXREc;f`%)V$b9`#YpssZ>h>L)F_Ua@B_Xe25;kt+&`!GnY7yON?w8i6kApWc3ays-M8 z<>igvEYow3UIDB$uP>IHE^T!=4;d7Js-DVIOw^KS;>G5h95>DCwM_IJRvb(PR5Y;0 zHL#3x-I7Jy=QFc~vL+(tr4Mf7B5WZL|5P;QP`h-uZ$2f}xShL{|42g{MKa#j56G-Vu%$0Tn|Qj8BiNofo0x(~rfAWLK!^ zDLQt1k3^gX{7`&5n}FoE)v!;PiTT{aN1N4*sEpNo^iN&yXH%qLw9XDe=&46Z8{a+P zu~^@7R!(sma{BQB!39zHnpe;&#=_PEtK6j3G z@OR?L5Tm3+NgVL?GO{`hni551_Lr)J(NTO@?Tfi6?VK?~YrSqQ71Oq5qTt>sIX7UQ zPz>1Dq&B`Zrw9=8d>^wmAw4k7$moXlkrJ+d9xFWM&Yj5TXq$Q*wjXOYD6xZLnf^l`mzb+p-6=LeEtqWHKMxuKprriGSTC<0r%TL6_m`2A zQy8_n>)H~o8C>rQFG|C4MjALgetNhY)IUImN{SaYkHH0pW}7u*baNRs1sLi~$s zv*bX(9v^SA!_-W&d77Pxp85EI?YX9Rt#3GT`G1;_?WEi#qdF&fOzzgLTe`ZKSoJU7 z63aztVfLNX`Q>5EYsMwrVXaeHs)q+o&(eTe*exAzoC|bP$5|#yU{GV_BF`>jhMN*2 zU*I35SED>8?4}t9I1M@N6#?; z*Npx;1R@3F68>H4uAkECzE`@wU-~()crk(*C<=43J`=5=dac@Ufk@j*wX3M2at^aL z>aejdcE$h&0Imw?W7OT_sc~o0g=)`QaJ3_FRMcb8UANiQHRtJ5fdqp2mH(0|e5%+b zs$<5yqZ?A%`HsU)5ly!E7|^VypT`%8d{pb+@Fshz5MFN7I)tji18mxGf?~wws?zwA#3Ht>fJbvi?h;?O zo)IBc$Bi*)itA^bH9PmdPXcjZSnN*0?W6cJDx?fa z(nY2sgoIS)Ss`SI%!$mB&?I!5r^rx*5JCtUN|J;kN#@LiWXk*;SNHGxdwM{Q+;y02xS#zU5qz5^c)_hy=c05P?rUa$M$vKFjXnfAEP1hkP_^Kq3kwNh z?B&DKA5{BfD8BUhh)D%>Qb1yiOiX%>RnXAvI^X&o=@>@lBbn%HV;a#EE*72ic`@vK z$(cIa$vTHYtwb~Zn;hEn?>6UXu!+g%L{iYSJ}r^|4^5!Y10^>G$mGcIowF_fF0y~L z6P4)LDsqzLx_~Z;+_7B+14)vi&$*`lLv}XK5>*ucIai<`z+yGf0@&?BcALamz{9x) zOAfFJu&bp<=j;s>`Y4o}+y*vX{nFeFp9>~{_*-Rby3E=ueY3Lo#vcl79B0vx zMWJMt1ybP6t>ci>Ytg2eO2;=DSaU%(*k-@d{52gP-C`4M3ZK_E0L z9oNSAEtrk~Yh*Bw8XDq@3O*Q`LIK>E(7^ZvyblcU_=0@{q=T3ouXDxBtQmdYqG=pZ zP@U&RIjukfWu5}h{YVn@pVDLUy}E}C{`|9xo|Zl^9l%1fsBX*9ZVYX@3UfSf++?{BteHO}T5t}7+t6Fd zD#&5IplLuJruKn{m5<8}MtJW*6Worz3kTV;@`(I}3nv5xL(45HVSiiY1WL#fY^oW+`@$=?8 zV^V|O%^>O{Jm2$=Pe_2JOC%$Y?>p3qQ%lRP!_z?F`rG|DwSOAFdlZ-3CvwE%jZ+D-3d;B7`ZK3bQ*F3eQ9<7F z5ZQ$m(hCK8;7*P>Jn_p~7cM-6GV$TVbO_%wB4l?$`23AnLRJAetF@+-`54?4TsS=O zK5z=*SuTcB`07>Uw|6iMfcb?c!XMO>u;G7&N*~6ZKvJAx6s%a&LUK!ac=Xby@tc3p zh`@8~R1aYux?lby_=vz}8Bc_@MR}|+rgp(?8JmBlFnL%_DSdw1n`( z@KP;ebj6;u*P+!)zTNl&-Baz)B%;62%T8K%}4G6kGQZY|2sZ~pul zj*F-!mHrE2U1Z>nu0MC@L-!x{B`4EGt3BGs?@n3JWG=D(%WSZu<5z&9mY&{wE*>0qVKK2> z|6I+>NJy4bQ6bF2Lnw2#UB$O%J}S5SDk3v)o@^kASwbvRtay6`H9qjA#hEkJXrBghw?Y(;z;#*{1DaanDjNxz>Mc|ozUIP~ zPTO;EgUk&ZMb3@vC{gG9VFYos`|jOLRYa`^512$nL$b5c{BdYEN5f(B6dA28wI-%B|NDh_Y_xh zmswlZd5yd-EPktzR*dET#~J1w96*+Xa94WrHsz|IPHaVm^uyxA@aZ+;QWsD=o*Vmt ztYnQAz~ zKrb}lLXb`oH8dyPZyI7KLrvC8dL7RY6t9lE9rxIMl&DE7zJa+TL@$4=)(UKRez*ot zJ47_C+(EBuYY&*9Fddn)dv&l)O?Ck`MGrqC4Q zxxLQ_pBsH6NEp1~gW-C^`E^s11JETZR5V8+Q90`>?!>naP6Xf|(+&71rqr=mW&BIV zL5qH9uE8yFkj-Y^mL3rL*Ju>QJRb4+nVGCd4~_~l5;AkXH%nxkwfk|OZsSkok?ntA zA4Fy`I8X*wBc`VA&-N5+(^fyWKa+vx06ewdzKKJrC@84en#ZjkV1?(Fywd|Q z2~$f(^X2~&qm^QR3kDZWpU&TU;C)#03@1ADINv+zK*On5xB?uLN)QbRTMAOyb}=CL;P@_>F`ZbM3`gm*H(&X5yG~x$}iTg)*oYQK-lHdbEjkEr{UI6q&b}x}t3TX`*D*wjC{0yPT9A3*4 z#pu@!d&3R_K4jt2GC#obp>1;k@g3hCkP-vyUojj+jQ`>h1y6j=`_uYeV@#2>QhLVv z$^+|Uip>g96duf*ehkhMda!{a8;Dy~RsZ2KX^zruxW~J(T$Nb62YMEBNce4HSH44V z%WyumF&U2!TE@-ATY%e($52M;sB7!!gY(6sa+qN&nk!Go^hEBWgN1YWWLO2Bz27>- z@FS@W^F`sC50c|g#(%}1_0gmd#vnNR4M2<0w1;dc|h zV-)48GA)n7H?%V0vVkA|(>pb_zR=?Xoa#Q>Y=QQ3^XA;IRDUm6s=2_fC#so;$ipL< z+yDL(lFR@8^LCtUeBl3lu~Yo-qdEWk+|K`%p`Hz`!&d*%0$?S;|JSoY|Mf}#FHa=> zzx>v)qD)H7*iWB6A@*?{I)sjF_4n^&A_W4c{3*7-hFDN*{T^+BthE50o_Rc%0HpL{ zWWO8)Y7BKij%p4S)ul_q7@UVfgEIl!IR5)9GKMQn6|yAst+4s6@h}h(G*bH{QEr{O z?ICF#t00a+3bJYOB`jpY7fe(mB3d8{tO@>w-vO95gi2yRD0X~d+(81z6fG>?(fI%V z9oT+hh*2^p^d*1&`h^ZR=zLhA{$5-GUMBmcqZC4+56n_L+jWqGL$BfqndB^WEhs8# z{P^(|L_M&xLBs`Al?{O%Ixvd8bP}>bFBbWsLIDMhqUVWWS)4%F_W*A(5wM-n=$Op7=2n4t@|92NltSjz=P(i-7hawSl=3-31-8R-2xh z%J9PgC`4Ipa$sqQ3%JsWRDz}$0#nqu`IiQyTxgguwXN&ainbO03{VaM0N+VLf(TVX z#LXptIk>qMeal2bM+vpOv;?6-CJD4$=r*>`6h!9cn=-$URPZ0x$l}X3P$`&}U4V)# zYCjX<`~CB?64ig(k!00)>3{(iLLrzV$nSqH8T1DF)#TkoW)ml9E7#;LL8v!;eTAT%ho z-?e(|5^#oDJ@garhiCBI9{c6Kfp`=Qg=KbXDu$ZT_P{xMIY@T0#16}l+Pz23?rg0F zSZwd3+ebY5E+{O_7b}EK8lYu4lkr9|Z*orVG1T+B{*vwV4)kQMz2fKQ&Qe!CvCtU! zVWRjW*J#-oH0Mml(F7mFNg_SJi;5FpFjF7>oKg!ufk9%YE9dm?BH&a68aOvVCX&H@ z1otrnN=Rrs&|2XC`qmA#CD<+G=8o^*GkO1?`y2#57;EAJrILH_^WY1hqXDzR8@P>- zY2X&NK!{3yo1%mTI_SNm+F=eau^F==Ph1YiWVMxGq$)9yt^TdKg#`df6U?H}ld?Mu zK|Rb&;5s%qNM7#<78u<(1O+l%gxPqA6v&N-)$uR;vO=I!EPVO$f!gY6S-kdcYAXD8 zDCy4GU{MeIJ-j=wwH5sr0f*r{3gsVWWRmwCp&%XwR+A4yp{c#S`uf9-Xg>pwk~n~Y zVe{m9g@uqYwbeJo?Oyvk@cuM6w@Dh8=s$DW^OVpA-1i5hLzUc=aDs97ZtUX%)KV5r z*iv8d%i|TMx2_6T!Q~aznz4!spNPmTVg|USPZ*N#HT*)C6@nGC&;x-Xq63OiMQ{a_ zhNe+x-#&tP|9F7Ujx5RFdKXGN3rU5FmE8L>e< z?sMcjPkGGWX=sG_!`fFRM~B_w&AuWifMG#)R8a8!$B#6qp6m7f-hsiYkGYBgjWeE{uOU4<1OLC7}E_Sd zeWD6qt7+71(#QN>srRY`ooVtZf+(@p{cxwYAKn{uS{Qh*E3`Wx_AFW!7#+mtbySUY zI(SIzM%<2UGqbT#S}(s8(6`4McPi(c=4CVkE;94z?nh(PV__2G7y6iZ)Y->^%c9^? zdeL6F4#Gg^eG+g9INba93Aq?D0(tgNxxPn_*pVGzp@lsKW1q0(D&Q~i<@yI6(F_+7 zBO+!1o;mU{*^$3o2`^i;$I#|bG35KIarXv{RL|BOE_o4%VJySxtP?o_*-xL2fZCQF z7#+<(*)xX8bQ$U7a#a-1G4b(s78b1qRvJ23s!TZjJx_C0uB^yNFh8sSJ&te%Pnk?C zg4Yygi4npsH!kwXD|DZq2f<0g%p3(CD4Y+IEd>{#!&9J=#>G9*mIQ7@JtKMu2kX6hf1D_J8QkMDn>n`9&_Er^iz)kt zhV46cST;yO8Jc`B5W_Usl7_GJCr_Spf)pq&E@s?%7Z@3z1Q7+u^w_aE)CCBwNHO>Z z2TaCv=;6I#c-|i_Gad+$NMHj)Llvlgz!9Rhmt=E*I6LabTIRd4OVEXY^*F$R&iwo) zj8H#ioZMXmWg&tCAcE@B2`nwswD>n9UKFlEhgv~S4xte4mPV~~h=%*G=xlzp0bl{9 z>_}6y3kz-Nvhwnp&6t4~46_gyCyQEy14pDRp)LjAprNh~2ehZ(!XP__50ES$6M_d^ z;n7UQJ25>*i|5G!Iyh*Zc01nEVa^I!1*0O15P#z9W%3HOVBBJ?aYpw6+dxBVXXfX1 zU1foJ*#CW05eprD=)@p+20I-3z0c^i9#)24#eLpB0lv-T+Anhl-aNw{@{zE;JtuU41AD9RXlIBr z5yY`nyt}2TQ2qZJ`;Yl{PfI}|9lS4j#AkXOvzb-$l$1Hr@N~(=+sP#V5O)XyEzlea z!P=IVbL3fg-ygsHcMzIauF93-At);H6J4SpA|uF70hv)TF$%H(CgAXOUHNfWk33Vv z;rBrV(jm{ZbMFYj^0wAZe9a)hai4O>^l-6vpXJiL2F!rcG2lJs2mV&1oRDkROb`M!GXY3JPk?!C3gsLBc7>KU-OL>}GTZ>~pK}Ug#c+~w% zk7hS{ejF#pGzr{4kb=(MowyiS66uE4-cM&_<22RSmdZHI7h7p_$wI^S3<4Fa+QM+rcoVU@!4sAQhkJ>$~{@cx>s- zUu+bbm}qZqPWEL3v<9pEt-U>id}IsnMQ+i438#an5_m8*Z{fur>0^e^v+D1UX`(TJ z5SAeUcENUIzs>)E-^Bl382bMIzh;XEX|lAue27GPDnX0elZ!iyzk^rG`uq17sGZR# zM}70}-v!9A;OVv}s=ez!@uZ>xhe=27s}q|xZw59030nXG!g2CDAokYee&$b&v?dQl zP9n%+5I=_3;Vw#6(_%0KrXFwyLWc;tce#ynux!bH2`d<|m*9;Dy6DI!LT5V}e}CC{ zmP>%nlZrkJG>4}J;vlNWZ!&W)eh894C@6b*i z=)$g($2cEQa6lk{;Er*7V0SY23qB-vIav|U7d13G81K`%sPH%39U~ub&4Y@u))LZ5 zplFYS|3`MZwtyKN@>UmU=YRo0U@uU@X&bRBf`VU7HnfU^dr&U46U8l#$$~{D?|DbgEx8rg@?ocV7zO|1&oaz0hJ-QosvW(_K zjP~55G6-;Q?>cXw`+fHmhs>?0J^B3ncSv0KoCz*2#&_yJ-`0L(yB<85lah--lTunX zwwm%Tq0Zyyp9h(fvDc*YpCyjJg z_gt3AM&Bmy`GTJ1?uGaupSklsP}&?ixmX7iJ}-oT;%?7zv&o|X2<(low+X!ZRU_c- zh>_4{uk+r&ZtuqoQzWU*D)E{ntZazTI&*uNxOCW;L2`S;Wbwm!V;C&gbX%aKB*Xs^ z8D_m%MS$7QaZ8ijIT!p(Cbmxu`|#4y+)wMx2hH?#%eopZ3jl8r&?~;Bqm4R~%)OyX ztYSK-q~qU=v59yok}g1gLBkCbZXLrjFvIqAaf$4IdH=?e&-#K7Wz~&^u3^J}j^C;7 z6YyEACw_JGtcfNy3H<0rw~FeAB$MB3!H*;4FYZ&cjB|z}atd%A>Z4HmjJn1w;1($& zYMWY1dgE0H3hz{98M1lw-dv-^t8D0_Sm?g)upYYh?NW%*7w7HO--;df z#~=4>vOs(k555pR2NqJ`d&S>h`Rdi5ANNmduaV1A6-%ClpzN;P;Br8Rg!ok zreGQ??(osZyH2yyQooh^-FRY3+?c{@fAgh0bebN_JfQf=OuivU=>L7|gA{Se2l1VR zeu+L8gf72Po7}HS?wM*DbaL-b>^?Sh5uf8n#O6? z#v6+0dg!em#nrgUWcgn=aa41^(R+HHLjN@&ZOAH&3WDc@WGMunGy4;&VP2HOj>oMbjPsxwFNQTxS>($ z!?NiuTQ=QhqcQK8zw6~e>z^8IwcoX=;uZCLT1IX%xDVl#;z9nP02k-cSO3LR4iHWe;-@o+fp5~~H z^{87JifCP(IS};wXDir`#6)q&t~9N$G~we+E-df&`t=$F`HPMTn6%HO#u%f-Wt7v} zzxL~1)A}spmh}9$OGQ_#3fjS>JiAcbDAItzD#TWm=)wIfy_-#zzqiF3M<}ped(vuq z_zy>1+UkhH$=}PX`~OsJ-m@+?OO-A+yP_~Q)3ZF164Ka_kJe3nPhN>jS(jT`!i91! zCYOab@A981>-PyA=cRXbWhb6SM_EhKsgQ0+y9dp&_)RWseyS+Ku%paVdD2b7weVdY z&F%myqYA3lG1ov6;%I;Vi}q2Mt0#4{bj0kx56s`;`e*Zw%9+O23pwf}`kWnK>_j#G z2@$3#uo!R6*y8pNkz`8Tg`|r>Q+| zz)t&ZvF_fA_xhuS%Oiijb)DE$zK!v9V1z1|MtFm6C6X3DTG^Kj?y>3zY|L$2?waym zc)LpjRv1C-{xh%MI5$aIbri8v`z*Now3(Ft4h!)zhx3-n`kV=@)W~*=I}v&bLC;CP z;i(%_*P|^akkUp)Yfe;NPd$5lImfBwXXks%g5hg-&*IsJki*4$qIO2KVhr<+NjLXFa4L?3c z8fd-yn&Vvd!rf`bTCg|doteD~SGs!QCtDqY$?;myg;c|}>iX-Kv_9;ow(D>!xK61b zJ=a-KcJ%q7^t85T`<&-uJm*^5y00x?m1MgyeYdCcMw8J9ecP3I_m-jwgY0PK)S<3% z*5)Q3$$Ja7q#4?6!qQ1S`+wC&WE}7k%Qkkf{Xq)u*A^*_Cq<0bZ8^E=6srkuc%6mQ z*np#CZwM!Sw+h#}bd6)K+X<(G2iXi+%4g;~Cj4%ienX1xTs~d?=Z(sN4NZgj_KI9S z-r|K)Of@FqjCxx>TW$fR@iPQQG9GdRyt|3ucC;AP&k|xNfC6K zmwyVf2he{jI;W$pGclWy;jtn}Xfi}KSU9!YiN=`fznh4%@~_`K%K2RJ-0T$aR^#?m zm&OtaGmqz2%Cvb;2-SU5HEwem_7#mW(~=FZ6Z|ycw(ahZkFy`Y%(@t5?+qI2EHl^N zLuKk)cJHN^ZoK*L@0WAii}r=oLT4)Kj)c;&@Uy+ewvb%9_6Lb2j*k{yA%hn}dg*gW zV-`~m02%cC5O>8scyN^z;XF-_S{R`~+SQ{c{v$35{)d*KX1yY-$?s|xYx zQXGkS6ES?=IZ8&5x@hp!m<>lP|HqHA2enJIopg*8)6RxjGgL|37@I}kuXDM1(W?R- zqMtoJz8t1g-RCDuhEtAgry>C8u%JCM)Artu@@m14b7F?$-FnpG&XSvbol3ms=N>pK z`t*$F&B%m@l^Rsvv_7`i)al~zUFW`;+?(wk*FHe@7@{IFS|>GurBT(DV0jG%AK9?GwpCo`FwTsL5QgyY_>bH4b)uw=gy64 z8)dm)FSjj>R&P2vWGJL4;K=lwXQ`Pp(H|ZPeZ-9fY&Iybxuu#;rl564&t7~t<7 zVtzKat*q+^0ZCw$e!S@ej8R1@r_TKJ&CFZ})ua+WV6swU!arI!3z8%W-t-DGakZEV z?)^P>IYuL^b?Z4T0{#nO)*s7n^4Di(6%xUeGI2wKVln)4o^iSHnVrtgI2Qr`-t@1}n4N7NDUzJ9S8nqAoCvWpRD8YJhA)paQ&HgT*DAbhdv?BUA#D^#G|(HGu-etQIb>6m!-Y)xHU#CMd`s4+bAI= zzwJgE@vgDuD~SI@k;Qgdp;)PFv5AUYrb0hE1!=0w-?;Pd;o~`M)Yj!6rJQbZDHn@A+6r?;FpE@>~iVk9Q3PeiAFR~$J%l2aqharJYDgzMJ2NNOQ4SCo*RL|+7W%H+O`jqgdzkK!|mog zaZ2#)4j(t}-FP!ZK1HR}`{kFT4eEJ%@zBI0J6-0cAUI^HC6gK~HlC6hULAb%C}-FcHxD=VGdOagoS?&b!P9fac%vqlAPzk&FbdP zuj8t__0Tz+;-(ls>FaOYTCF}l?ub#991+?=C2{3Be|i9M^5#LuqfK=xmzZPGKWwKsm3SP#l}~n}M`_9yhg6Dh96Wu%r)nors%!Pf z)J`Lf<8wGag>TV6qzFyx`SEsZCce``(~Afkx=qWEZ;R)Q%8Q&X>~t`tA_9}g;^^+5 zEwz6+e3V(^tx6ybk(t>nQvOn)J4T5i73vX=SG|(u=5)r6Ji;H(&00_f_oJDGK0(x# z4qLSb#;r3KG|UG_!cu%q)sIWZ)H|}?|M*C9Q}uIe5&EE<3zgpc2wY38NLeigIVCOS zB8%f2KN#rjJL$&37P3Kx#8PJ|tiE&W?^Vjq8q{e!gT3X77n;VG@N%^L=kWU=l z*$h*cBzZ$=J{2LG;*K<%H_YeWUlZRuKDTtu_$IqQxu@^Z#+Uo*ha%Suf8`LlX^Kh^ z152pwCX(m9s7q!VPv}QSSuCFDS!^t>T%A~(Ke^Jk6T=jQZ$o1f4X}6^{i=XM5Ox119zJy@%_cq;rG$kW=)$&tt z$NY&5mr~+TIYh<68-z zKh;_8-J{86y?)!zYxB0A*}Su+|JR>>jT=J+NjtC~cYE=hYXe~lpNs`(amC0{I! zo5m~53F_-Q^cr!o(X?-EAFV}rgbcI4?lBU=dI$Zvlv9+JnKgV#cevRPE?d)`r;@J}zBwrn-p`H*I$+=jyCU#pqk?u~XqG(M0JF}zO z7p4<6xkV&OzuOp2x=7^nt0eQ+<@49w*vqQZ`dhfh!;3Z4r;T04v#y>01H--yuG`5i zqsqx55lu}W8MZFIxfOij6sr}pU%!5Ezj*MOdvP~YY?eR_epKzgR^JFExVcd5KfWx= zx*Pb^g&ghqM=tf+*%cZvF6RSRc9$<_q$h6hyL)FRmZ z6~Al~7_zUOHSG;*^=215v2oNz!oIDiMI<6AF<72kDbg@XmAE)JGV&+y5+Ueq2d{3m zoSXn~St{OKxi;V5)&&F{yENJEOi{I2`s$@ZgM`>b3g1JC-wK_FDcMGB>l2e!e_Db0 z&>(uj7|g>z3WUgFjL+iK`q~s!Xejt$yWi$xbbX=_f9+ZNTI@E}Ju$ObF_-ONH1vqH z`|}vDI&G=${?m0-#8br=t#&S|1zq-ZZ=Gm|SG+5o4X=o@-0o%+__gTuwJIM5s3vSw z78Ei)%k`gz%MJ-}+;C^nFL=+mQ9|OHu zC?#eWiNqDgjqyKsjxUp!2M~Q%K6LTzHR?^b+wHzOisWA@(>=$j6fUb2K436$W2NlQ zKeYD`+>5UPN`;nkZR~s{3X%1dVUQ}Lc81S*B+jZyo@trI%X2eq-KfQox^Z8z*)&tF zBWvw%$rweF=9!KvT=2W69noR1l*r8-lZ<^kJad%hp!pqDc|{Wa$e&6ly^r4`NJ{tr z*bd*cXjj1670I1{))p!&d)+#U67~)+`kVYrU(YV?UK$ke8C{u#gm4*G{CbW;1=d{P zl7jeYGji{e+kTWra^|COmwj8E%C$T76a2)*k+_2o z6#8?@oG4_9TWY3d1bb^d1HE6DPi-1v3ovh{Q{Ytk{@kW-@J<{P1acm zP*)DKVt&b&*j=(KBuTpn_S2?Wmy6=m>hq&lYnc2NiAQ4WmyQhkwS4%wboF)bvz9LXHR3)h z7QR?*UL7&xlTpfb`A_!B7qq`J4^em$Q$>&SBO*w1pX?*+)shxeZmba&mCU{8evNIa zL{rJOnMLtv*MVJeZe8w-dF)JnoDl)$LU~xqM_3mcgp*Ee;Z8kUH+HzUM=tzHXrD0i zfe1Q}#51LBgSThtiKn_*jSQ<_FE~s%7``Q+Bf~c~oIDZ~=kF%xj9OhLJ!pziPxoLu zZoi$b=*s!5*3r?}(NShChGSROUP&bSZ<7?D-cX-s-8b~XT&ZH5zkaR%SitGaGq~=-JW8c zwdvL=LNU!|=Lci;&@FzZVNb{D{EM!*m+fQSNhM`-YCF~K;1>V>O+&oMXR*q~5B&_X z3JneyKQwsv^%;sT!nb&5xs<5r*qF}3^`9m46;Aga&Krsc_sry#0g~|Ov<9=TfZnk1&P@t*YuFOS{U-fKS`{V=5vR0B| zbgaNl!QGA(BJ$;lX-3=pe?@C@cYadqD7w(VHEN*#C$u-7^-8_d3F$GrrO}azXhtJ0 zCciM!mZHJTqvzRa*_G(4+*0bPh!GcqXih>ivN==dV9c+riUP+^Rtw9S^!-`&HtxN4 zvvU6XWmMzbfi<@f1@NbXNh3=d=V{-{r%h6y7enyk=CB{9;|hp{8G}N>Cz!p33+=b-Nu`f_(5iL`cVa}kyxuL?oo2&kd9r{rA>En}yC zRh7cC%S=g`D~9G2E!C+P9anA~;JbZ4TopmM9PAkKNsv5Qjf+^2VB#u?ZdQhNGWS^A z<(!fi3GTZqdwLvR>xVX$#0-#Kx!{)eeA@|EI=$#tJ5dA+`he1Xm8Nr^uC8CX_|(em z>srU%3QJkuPRp=|UOnExMm#glZMW_fS3gTv*)w+Yq1cb^6*CD_ zUc)Esf9_V2bIG3caNhpd{Kvv_fabR%{_0QVxg}*(bX%j$!${Q)@|W%^auL0&9m5OD z30%Am|CA8Eq`I`nVl3Ow`?PyV>Yi^cHE>T+;fYdj)j7N;#5m48KY2Dh1}=z_3p*AW z_8pBOBMp&DtFz=CSIlv&fGO9 z6xHB*E%;B`sH!}z5JF#xKTu@0q`Dn4iv)0UDWBU8GXC_VFJuS?< zv=o-iTs+83STmKj7_kLh>-*3;HDBfEK#FLu*~iA@Od-Q7wKtY8Ah{!a3t^aNdgiev z;ftQ~puAH~;!nz(Rd64heKRAlp{ibB{S>Xo`3`IAxU~_5DX;nVF5*|S!@OqLd%x}D zU3+)*ZF+q5TZ!GLV}~2A-tJD=$ey8?`h=G1v!Dy_56_T<&3A@KRp~dGe>T2UTTgaj zKVlv{<`BoG#AO<8$FlU(ldes-O72o#Y397ARJFBi%KcYEQc-b68=SUm`NgL!aEf1L z>GAYK0M7|Gt26!g<&0XEe=Fs2?>kUUges>C#j1)vq@!YEmf22AQ++nWoHxp4rA)OT zg*%_0FaOE=z)m}n<+*cmJje;YrlZ=t5xa$$PtpEyVQJMEF2LdGqsZW5ymh4m)wEt@ zpj=+4z`YKsU`R!U{GL%|FyHj!PIr=0^A@M!&`ORU ztj}KlUIq4o(6q;MJX_<&*g5Coy?*G;Z6U66}B<|JiZ)ke{+{Chg_MIVR6UjW5@h=y}l?IeO2sq z=czWU^yO}R*bnntgta_#K|0UTasZRxlBy?5QP= zbHNl>gmliq;8YRCcYuQJ;lWsslb+aPY@a?DaFme{Jxs6g69^qSU?ab@C-4OM71F6884+sup!Kgq?1w!>F)(EGF5*fbCL~L zC5J_d4{X{PTzN>wxNW;qxVh3E&J4qxStHLc1~<&iiYPe!Hy;mfpxz+x>sFOQO4#m- zXy#E)N~#R5ZOP;EdEB^ldJOmFK8rMLG*A-cPf*Tdt#{6=W@E%Xl?0hoNk+xN6A#jITBkL?4bOb$ zAAU^-t$ciNG(&@jVEmO1znqPfr{dXPZIPLL(Cro*pGP~#UjO!hnsE9db@_wZ8QNz0 zZItw{>_jMhv)k+v>V{p_lH%hfod!n0eHreX4CMQ|*KfL3Y`&)dvx(H&z`>+NZHWob za9T6E0~!7t0ph2a4EAa4G-^3hxl=wX>)CTws^c^>$8B9w`piaZLO-=Vxn52|s_GZ- zo^(^itv<}86z1S&a zOAvZWdm2fP-skfx<#Q`%50!1_=1l$F*rBj*VaDFd;8-sD=)a7jg5pbD5% z-D<%dmCjVe+CqBepP42p`um6P+57H3&8;f2+198fy!ue=MJD;P+O;AV8sv*RjM(Jk z9t*bHh&8xfZ(orgek1nj$S&4H-?vlR397Z+&S$*FRgm3hxxtHn3GeCMczQFBTJC?b z%a!XTl%t&fQMiBPwI3l4->%*zhe;iJIV}bY{n0s3^`lR75}?ZkdF*(qS2$MnNQ@F! z*p}tq*cjjBaX%1e&$#oGxs`L<#;x8nZZ(sX?vvz;auOQ2cB+@z&$!!27B`w+_mM4b zV}|yTJvC;i6$4Y9Quiy1FeddVw20IT($rsN-5VtT`LXNM=g=azdR2rb)iK^TE9;Uz zk$A@fWVJY3ECj0OCu?(`^&m=4(71enLEaͺbeX)7->r#Vl zRE~tdY)ZFB(U;7@_Rwp7b3>%;w#$t{FRj9rYN-gCYRQ5S67_~>#`S!4B$oTfDR?;t zlPA6l1o4U5T_x>uU{Pxx{ZiOwG?RW~nMY{l$NkD{zg}y+G>EPdL=)}dUU^vGD-nO% zo4lv3eC9J0&0~iR1ok4`aI4OHcIg(hPq-`@nN(9M$(d&>(%#8w-KFF{chZ6SZgqm& zE`r66Zsx7Mqvl1u%K9hct0SxD^vYU)gE>~q_$<;@qs84kyg(sSXyDvG*E0I$@$GwN z(@**9r}$#o%c=6r5cm_+Q(H0`&f6F9XBqM`-mfvs)8mb@;*$-s%uZ8RQ>TytmbSd3 z3f|XJGsuByMC{Qsqq0qn&-~m5cIj(nM%h;CW@UZ{Ev`-(c#^hPTr{F@W8&~eX*Ltx z#*?_kywT;hW*tRoqrqLekM$x+C70Y9qdFU()6@&mRDXKGILG<6CVAWw*>!juAe*Vk zP#uW~Rps0W*lgOqt%=$}FMym>*1oq@%>TGAur?jy6KQdrVXK8uEScU*duZ?3GtA3q zGArr5^3o>GmlPqF+HOa0x|LY*_7Rd>_R876eed?_O@!}7!3V$19becK?e$}OyM?v3 zT*<8Xuu9vDi-L-G;CgbQdt_$hLE6sS?7`RFIDPx?wA(&N8P^fRr~&TRcOZd=}N z=hyV)Xqke@o_h20%ZSnt4f-cXCe=|^fqrxYmM@ivZyH{Hzi+=cpi<3gI>LLcz(jh* z>O`0Gi~|1=2DvB(=0ntH+J020D}{z}%g_> zYB1sUakXy)Qa=+FVdSnQguAsT$n~RJ_E5C>k4_XuX*1s?ILhB%GS{D9^cr>XJg#FC zvspSR#FW|3qR6hRdDI1sIyt5AC$_2In}P&l_zr2P6JTi@EU8Y>f@2BL9O+`+Xmf8gEI=sSD?*DItX$<}`@v0ps$ zhxEX=qU^6z9_{Mf2;)<)n3z zCc$-cb2-hecU#`r9jhu*E7-TSqfnDgvvy$MHirLev7DP8sg zo(rl%u~amaguZmoEz*-1kEVy4yU#M*CDnz68QPoQ>6aXHl{aK~-CH)@pJt<+Oi~Wl zV;GKz+-XRqfur66W8;CuxqPlyD=ml zLU8Xb`hZ`Oe7JqiXw^O5BG|0r7oD0Dhk8^gJmI68R%GLDB@|@LwU_T(=mn>8KjGZT z<7YZBbJy(g0|5qCwG$V(0%Q+L*3L-QPIuBvY|0^bXrev{L#*1;QkoW{(kgIcRONPe z#x{$)%3S`bDp{>@ttws>=7ICeM(Z>eqEmJGJh-WdI_>Wd-v?P%U;SF=rzAu_cd>?- z@O4Z3{Ueqy#zMc`p7GbCn49;eayHr*N`|YBv_DEP%Nq$Yrw^(TYPU1x+DV|P1H#Qd zM3MGw(S@S&*&iyzujQU83#NAy+niW;dfP2`Rd&y*W@vBl1yeY!;j{EODmuP|VR~^@ zmfKEWw*Xxi&okeSs+|q9tR8VYk!@LB;C*6&n(Ee?45905E;Pa)A^gs8qDbuES%!?Z zR^6;YTV*v4IsqObLObhN;_#k@nj6w4yiq^hP6QfCv|S1{7NS*8l-Mr%<=C0X$V;{F zw%mFjG@u*w&#w(3|0w(IVy#us4H6HkX|O!UzzK+&{LNZq>36`hNOjhe6hxS{NCchG zEq3!e)*?c^MhYKqlIrsEKBLNhu>G_4@&WEB+t#9I?q@WA%lQ_wZsZJ8rM`8kuO^Rw zFU<~{yWmC7G&Y}AEA7fjM%|*tuUwO?m!Zq}4~c?Cg=?2OX-mCO2E&IJOvWrh@{cw7 z2e#ccb9`+depUSA@dh_mjl+YMWxG-L9z?Tp5Xot_s)XLZ7r?Jy9w{b`a|xMUPSG^BW#pM zcZNUV9i&&M-EK59^vF{yRQri;Hgd+uccD;K!k7B)>oL)X^(I1&!4tP}^`I*$2Cs)9NjwP#b5uxhooJwD|r+l`KpUCx}4L{}B(jdloA0>rd@psn-qCrzR zD&mm(rrWR4i>ea$6~*seaILL&)2XmEidN zbeDEw9X0o|`O~YigQ)h&{3K4`;Mo#wUcNw%I;ZTk`E74AGu09kkx4%eUt;<`J@rF8 zI<2MKP@qykQ9z%brogs&eD1?wAgM06E1I8AH`hH;kv>jcm?lC!{S&g&XOVJXCUWhg zqa$^J>wr>t|8dY6(LwSDM@Yw3puRHGijPf1<)fS-w2;HjHgIhXJ9FKpK3IHa4ix4# zv-pi{+F6nZLTcN!6~l5;RC0pimEzAYO8Z&p-cE}Y{HeLM@pECRvylJ0{sRjs0<1Jf z+cp6ZalXpBI4`$NgEOMn&NQoKT2Y9Ch#L&vFGU}uX_oi$`)cA&!e2h+V3w|$hB`&n zpFh)(IeQ9@L}y<>lwy#J9%wVZeyO8qVW)qoDt4I%@9S`vn!Bu{L-D)PbER(c{-w8{ zj^tkGwlg?!J-~HfVA;^{F3;8voW!TXC0b>$2l0hFvf89h{4Co_x3zGuXKtHt#}$E{ zMQp<9^-qQYgM{w`o;@IqliQ(wlWFEomdd@{E%((W5+Lo9+!OL4Ur3_VbJ7S1g+1cX zA%cCk#y?#zD;@~=Cx4SHkbG{KkpK>TX3-;YKXaXhbIDaEW-}TdCOfIQy<(nP4-EJe=+l!v3O)t{!Oo>B*}37N#qqq2?F&o9__&3|lZVhI}RxYupTvm?Sj|ZH&d&UfP1?C^KEH2no>IsRSa_9tw)qe(wZz?JzsDD%kJ)Yi9qjtxivIR9 z#aFH~tF{DaJ~cS2D1_*ud&gYJpC3)ADUq32V^5s@!=6t|_MfZS2P9y)WWpk3Qs zj;G<>`(lIa1#a%zL#!J&63wF`wR!4(ZKh{`x%0rpM8>oOd4Y1v88M zn@?KEE@o8>9N2i1@s2icp-YdZw)Sa$ilH%1p4{1R`{E0^I=5x1iDsHM6PYnl+w8GF zjfcW*n!YO@uD50K6l9_adlIAcGhzOj^(l`B?X6Q9V=k{EkZJsD`*n-Y=_-R0dgw07 zur>Qa<=VHflss1C9?O(mVeTpZrbnxp1@8yR*8>*%jUd5|&N&d=s!ab&%8z6f8 z_+5xW?vXMK3UBR_t^Oo+|8gn1M46GwRHsB}5(4=bIWGD?n9#L5wl{QEone8A=3zEs zBjt$DP2q{~hBU_MDMIFK0av4+ef)Y@47mu^>$EG*Ja)cR^{g`~Voe?}bT5-%&8}$= zjta*Xt}{t{4J~aG7bK5&Uiu7gkuG06Vu9qpQK5f_6 zA}N9KJrR+AStM>yd5&CuRc(nMzIJGts_sxVY7OH;&sKB`h$^xa=EI;5=ZP9BUfiy z$Aq=*VgG)ptz+kp(AIrAmhQiQ<|`?^EAjB*YrL^k%i#g;?+givMH zcLxrm8+|PcIB{+3!$}#(3I&q1v&Oy*Fc4IZkR_e!y_RUj^!@fz$+tDPO!Y)q0^|>_ zel3?z(Lc+Os?Ez|k^1D7!l{f_jfA+L3y(m;g+Cq-r zLg66KdEVi%gIn&NUX`Txd#n_0xT&zs0?c9RS$&37v&YG`+}uIT``7*0F(>nSvm9*RMq`>>vt(ydDI3 zg&aE9O|z9~b>i{wCqk2%lkPDdh|81^`@vR<4sosBvLO5E0|JcC7QLj09me%n$|xJ2 zAF8dTc%;Ye$rX!|Cg`DPrE9MYzw$outG!q=IAhs~&a@8i?%}be)EMuw8_QB`uWIu2 ze)ca+{F%$KV!fARvhw5n33u-eCG9&7onm!=Tkj|R&(QhDf}>t$+tnydKV5fjr@D12 z{aRk(GtON}4)afrhyHOVsvKW+O+2vdco^~mWLKbm=|dwff;OafxBezy+rkfy_oo=+ zl+$f7qHGBHICHc$6jK{C`#F)=y$92SKG1KFCxUB6=^?9kDE}D^nbI^<(~lFUj^D7&%zgCs$I;+RRwwl*gE*(x|ioF#mRc7S5?lejD~4CjHFn0zsM3#rK%~7H0GwSN1;bs ze(z3Li|$o-*{V)!yeV+Dw9D^tKe>As|7(`jGS1S!YKz0>jlPf0N!eX9Px?W-&naA zq_Q(vWY&gH`gjdDY8VdDAHSm#N*WxHE4G4w1|0vD22<_raq7Q@q7g66GPIVvm z|0P0Enc1XcWM|7LGkX&ZKUNlNoX-0Wr>!) z4ebC`m+zxx2{GpQLXYJkA#FK_dQ*7IK#X=RB^gt_?n#}zS|*K1u$@!I*ey~E;e#_W4B|v$LGOUX7y-cMyy?HYhNi~hiXTP+#8d5$k4iX_WRU5 zPTeflO4n{IFC|eVT02{sJXQz8Wm{|FcD76K=ckIA;H9ND)Bks8CsU^UH%t8!py%n)3`9v9;|G*j%>BxJZ{$xUX%O$S1LSQ6^5M$VS*wq zUqGLc$3||#OF@vop3%MG<9g{_gelp~+U`_UYMSy>i|;%A%#&xw(ei!O)sBs(Fi;uH zIQ!gS66dWu_^{x?w{6D(?Nw)X=8(BlmlORZRUG^dKe zaFvVhYOMEOGfCas1R-q~Xn{F0txV1qS@TjqU>vlqn{=i@G)8&hW#q+1>+z=qv{}rx z^H_4}b$|S(;oq7-?#o=%eGyJ}t~BfqkGjhoabbGb?x-!*vhg^!%{FT38CDr5&p!(b zTaf4<0(9zz+Kp@v{x69ZwS5xtI8eDrF9jwxs@qrLJF+~Y0_aNy2wcm&aCh;DO6sLl zv|)vzE^d3K>WUnexXS_m5361oR&=Ro`wV5FUcCqH61zd|V$E2dYU+cr+`j-WGbC-phC!6u&z;1FJ@*9|@! zp)Pqm1jK_l^j&;Gxo|j`>ImCDm-)2YByRWKSCAji1?|Zm|Ec?LIX)OYJ^Wn4ERQvP z68rXQZncxccuVlx^WiVp2FT1S1kUt^6G!l{NBl>%@2hdt=|@<&>3lS+yZi*~Tbbl# z#D+D7$gR;oUQ>LO!!SSx!q4XpD#?uhu-`4XqFsw@l^q)zY<3hG%aGY$Y)l1{sTudK zON;IAF5~2LXCH@k*wvX_Ns`lIQYU8Y{!e!^ufe1VFQ*Yz5!iDEwc_^@z`*nUL_^0@(C6r%ab&!VF2_Eg6|3Jue8+nk^3R~-{O^EEFC`mgD zUfEBGm}4|t->%LiRLQi@1>HNnOR6AMK}8oya(1}r(+CISh4?BuhP%S!I0!j4x`0=m zscyk6A&sXVT>FShksgR^(y$y!y(x8G?sW6KJn(8k=g(`G7Ap}Oc%zh3mxBGJk_s9q`KU{zL!_MmX72Dv)6+0@T~bg4 zHD0|byu;@r7DzU$Ghm^v(tC)J{@!bYqTjJKd!nX#;X45$$h-NwQ~ywHds> zb}?$RcIlT0zDd+IW@rkqQzG*becShM7m{<|6t1(~nA!_@&nBn$8JzwQ!W5(Q4WzPe ze^DkMtVVxmrl>&?4+R2Gcn|EK>-~P>ROcWQJ!tROa!dppax{4VX290FL(i+TqI;~f zX@aVBwLg44zpZ|Q?K<=Y+lJAobE8yo(`U*J`FxYT$K$_ag;%v{{U3i4lDyxyWTHdk z{o`oKKTB2G!idUz6qNmfZ=P2uf)#KkX*l<9`@^kyFi?DqXQYeoDnvr@V7N_1(?;5w zM50Zi<^5i&r`!`m37I}zdeD-b&v5NSES?V?$gVuqsfunp7Fe#Fx1$4aEjl`!{&%b4Vf;M3< zLaD(tzwGh#y&!Lj+V#4m>oi5-{0=ZIasl6P9o#7*^gGEI6_NMu(pdLvi=}>Naql+a zsL1q&7AgtH8>9u_&U%O13nv=n- zd@mu|*X6Fw-`J+J3232!VmHwE@OV9yg{_^_fWYp!05Rt+Ha$Z3 zE8)G9YbE(ky&^IzGwIsT3)UQCS%D~Oy_|CSatK&!3Gnj9{v6~jvuic=H~f6`Y*t`1 z!zDhf_8`X3+uX;S^)_4@rkd#IN{8hGqv}}|YXRzf z(+|xkppsIwN=8;=A&(?O6CSZDcdweIRAS2SUP{jEr1ybvh z!hOg-RvFyUq5Kc?$d7}PeWY#iO!UQyje(ixR0wb?8 zn5zhXQIeh=6`66Rb=0hySbz20=U5}S{dCQ#;qBiicdT{SVkhRlxNkljG}_reKAFDh zHT`Qj2bgV$Hr{KW3pm_h`NJD=GSKqNcPZu0#dc2=bG+>C=TV=)#lP#-?cr-&!X04T2p-P2v2hqd!b0JNpDz`3}GZMs&=&2jTAn2?rcKwD4gUj zT%?_OV#!5HT#ObnfOC4io>)(zQo^82Fqw9#GUeXpsf)*l7ZuqO0n+ZZm5gI*5GMRC zzjb&#utz1<*4?h2m||KrUNgShd|gsOH#~-finlAtY@|BCQI#%ah`&p8k}&5olrQPA(h`JHX$I6V+OJg#?B6PX#8kJ@iEt8c4t5{^q1tSL z6Z5i=Tl=o9h`gq@rn%pkp~Z!ML5+u~v|Lcs`^*O0VaNG$$YK}%J-PWie>rE`MI>XP z`{PyewMd5QJzM+SK_4vNG*|S&0>dFP4=ZxXIy6eO5NZ-Uc_gT6s0JGwFc5G0e+9u4 z8?Z8&SbIF1rUd-M6j|HEdd5b>9*N%Uyb6bmli>DdaQhq!F%r6Jm-{bY=@NeQ15df~ zFTI1KP>7-W&B0nljWT+?C~R&MuGj^?=>~7}G)3LiMYSfJVS}pZ%PaTxxxpPXj!bF- zS^C{(8TwaTSsQbP{Aub%pwVD2`n>9OK*klVCoAfHZs55bT%qo;$(G`wOP`md9XXsj z!RKzMbgZ|{;HaIrt7V*8#C7h=-#>k;P1A{vLg5lssOSQCxILf3s!)$^fo3K{Ym`)T z^!45V3$eH$X`wOI`Ta1iXxN4C6JJ;1(B}o2K8w=Q(z96juzF+u^?KJ*c$Pex^r~qi@jRz=Y|01_PHhc0=ob0CNAvAE za1KCCi8Q+&9{}s!Q;WL+GdCKp<{CKd2EIj*L>0vz;xN`N>BcwYQp5u9+|595eCeK8 zps_yKJk{8hbjJ?9BKuMLC5I$jjIgA2*21b*%60SBz_>cXnyqH|iT$OE3ICFZMJ5;P z*FvKTZz*#mZ*=wMMu^L=mUx4tN29A=R7EJj(RgZk1)i(n1A7^61*bJ#YE<_^sr_5& zm4_|0D3IJ*>q@ueqi9KmKz;|mSDyL3V(lfkE(k-_{}?slgz2@pF~30=Z*(WSz7(_y zOG0sjEp~7us;Rmgy{MJ{csL42kAyl2rVLM!*h`A3q+E%V>lW|Rg?qbG7Lz4?UCTS} zt%Aa$bc6}$^kqMR+nmJKJ1KYGde8S8C;K1Qi~nj}zaVfk0KU@W7iVjiecFja=T3tK zR55@m3@W#OkKRS8g3>RhyqrlkP;s{OP2+%Q+P08f8%5M2%>Qj?zoVfN&-?!%O!ezI1*MTjM2Pvsf_tOc0&v74G#eSV z^`-%*w{z2C#?)!PrrQW5YH*BKnlCuJPw4=lT(4JUP?6$MG`&&FE9Klx`Jsz~^sF#$ zMXrZitfIF75bE;r*-?KAnK&!jPQkE_^XZ@{R@^)s0Wt*+h?uVNYV-5R#zSyyUsF@n zrCJV<5yy+j$nwfbQ9&8UElH#fT{>Oqti*^*Lc@te(?Y=*{_y1mAm;y9>|Usu)8tRalScvoy#`$UW~@E*Yg$Nl6{F zu`TAnW4$S}@yZ4t`HxD}zN3al_7|g)*2imhJpP#R`*g;N|2$lf1z>vb>(1Vsj{w&1 zGHWsxz1iZ{T{rm4$dIhqmie%EkU4Pct&O8!YJA!`D~w(Rbrx#|+2a?j=WClU9bEB^ ztS+*z3BbFY)`aQ3xA#FNP&Rj_&i~AYkb{p@v4d&qlICO_s<+wpLqT#r!!K1Fj@k98 z2vh9~Jd_r2+E0vk)-s!6AviIMaSXE;^`^Yg1piCqPeis&}&=ufU_-l$r5Sy7GC8-#aN ztzXf?tqq`u0}3S|42TO&^uD|tZ*;${r-cGZ+yV}^>3qqXLCALwqFqQyxhd-K-lOPZ z*rlsY7@EgdAL1dMCn0}lrB&kU-kzTRF$?M&TkiXr@5zqE$h}=uXb9{{yTHIeiH}&sN#CMOYSELmm7~prW4{K5eYAbF z2ZxUj7bcl%ipJKyWUtQ71k)K5j`#hklaiUy4w)TXKK>XUcu^~1=BpH9;7vB>MIkY; z^xJ$^3Uod+F&~l8Z@!lN1p~%URrZ$H6s2=Yr)hjG3WryML#*N2EFM9A^=$PReA2#i zHqwfxrtR;TW+vXf<$=Zk{{T=U1fRpEnxl0Xl9IqT$6*D}Ijo7-`jy1U zs$IPeg-d;gtQvWC7=jV@Wk*UC{CKh%lgvpPJ40=k}=6`D%>Tqd(t|)*9 zM&SfwYQTU<|2(ozB<^f&oZ>amyrEV%nT#saBiEfzV&kE7L`lT$NI$Wmh+B}~DKd#% z_KPkcy%Pa6u-PTIKsB@cQ2%NbRgQu#I%-x<<*H~cMX*9nENBI~g@R)=_B zK5g^|Uf!@hS1oM}rywcMpTCD5dirP*;Lq>3FoO!;V%wux!6HufmN@VM6-C)Sdw{}tCg(8O<8b@cY9jp&7@p!0*yIs zC|^wq9J>sJQ6*>gJb35xkcR~HE^E?Gn1;oPfJ%6kLSOLodxdZ*mP@b)~(7&{lNXy zY-Lr(8)Oezvfhp-VT3ceOT6X}4a*EZ8<6Gs{#kidQEfWa-*%t&;riO$j4BS(a|d5N z+k>DQR|Pd*6EY8~yQvmC7Nqs}rytQ=C&Qd4a}VBsJC91QoXA!#)b+{AV^2!z zO=eSRjCUSbtBa%`Y16x>51J6cH(aLLdRnL-oLe>S_*npurrMf zsB^45DzJEnA6S|e?v-IL5>47tvp-M7hviOFThddle7fl*BPmRb0JCe^vj@&&dD%ae z&zbJgrfRS!l`TT!GF~2}SJbja7jQ*mP?^R1IT2|NWMr}2T*j#PuXsNtTqbx_T$k_D zU-Uq?jo=D#V10Q@RVu3Y&iHd$3K6Jis^z7%YZc4U5pA+ozN-3(+D7u4DrP#v_$u&$ zR_VHl;mhwc$4yk*ECk>(w=R>=6Cqt-Oh-|~K9J7EF8$tb6=1KFRQV@*K3(Cnv-(6b zfgCK}Jn9mf=dP%H7x`t1ob zG@!TuLjlaPlPQ0f5`K+3i}9qK!>HPr$lm6_L%3DpIhpZypO^pAIDvjYY4z0YYpvtw zvv%DBGv;5+`x^`lyxy{umRuP}G3^g`G z5VL*%*2inI)tgR4U%tq~fH5>Z*KRj44G1{I#!q;g;}`*sI_Lc{qKmDWs+^7OCm)Y5 zew|plFGLab)xA5TKeGX3K(wAK1*O$mL^Y-j$;EZ;A>WiVg`ryKeL*jEUEn=g{|8(D z(y>8&s+jw=iYeQ@d|UF0Y~*3686#}DkszhO(f?@yT2fbM;5+@Z)h>M|&7tL%%}@UK z;=MLm*Y8X`RAW!lEU`6`%0yGdD#K<_F{wkfJ7P(_#x9(kJ$?ITrD26z_EEYV2SpT| zXbD*JGdguHx>P(%(OgE353Bfcv*;K1lC#SDWbu zlxi)ikU81E&AjZjs3xSg5$Neq_~JWof^-Q#SF1#UaA{p z8uk1HFxVvZwsJHaltp^Fq6=A^^8^DsU^HrF)sZ!sd~%B`J^Y`FPclWgOL}v00k>qQ z$ErqyQ;X|DvulwEh4wtcx)|`?J%sUl zTS9kMsfjd~srg5SQ{Z(~2IJZn2E3mzq{x#C%%*Rx{nCgo#VT($9}e8Hm<1mYGT*cu ze3*Yx<_nsSFKsYr@hZz~i_a;5$<0l3CLgJ}*j-+#gtMw9UmkH3EgZh5sa0yDR-Ww6 z*x2XDJtK4Y#({|QcDsqJS{D;L1zp=KuNj)qi`DTPHkH-5%>`2+QUZd_b*8u<1*?^) zXv5CZ35KW-T_J7x7DArs!)m?Zmr#>8-7HR9{c@Jmi?12MG^JGjG*ztR z-(O(RZtd9n^M~r3Uq*4K#~ANpRPPDyS1@vm=rIaZ%TWbfSdZz8-LIXMhQW;%92W*j zDpvq>z<6$Syy1nt1V&_DW?YEU*LPMCX7u{HYE#K-g)E@iNRs9=&_oD%O^ljww_L9% zMg{d=kn{;=T9W@6Dt*Q`r)1q9yb3fiMb>39XB;SFmEfa-YarZ!YmDgeJwtYR`5TYW zM%n&M`|ht8a|a#@p#7!wik{JQ6py4o)4u<}{LVzOFE4XUcin3@^=IpGk8h9!MtR5q z44Hc75ZxE?acFuX!c%;Zq{~?`oO9zKEXhbh6hecva1VolMeEwHhPdl`#kb` zA$yWBFLP`ck|(B4Ie#^AcmQLB%_aEfD;?+R);x)p*Tc=3I#ouT0yY`|)$v5JA*In6 ztfkGE5?pKqz~umK22RsA_T(N3mw5mvVpG>^@wn2v*0V*79yr=wza-c&QTgqpu}a!4Z<|h=^UM_U}&|qPetppkZ6wP4~|rJS7vnSy^_%5 zrBSap-C#^7=oE~+Pl)r{7O%c!Bo~qIMcJg@H;VNy#6xJ$^5*VTOcgmf)=eUzzHEu> ztGj4YB=4GsGz}3FNg0^c+R&mAm<#|OYmaT4?Q}!D{=U51X755bGXJMcKZZu&FPgU3 z#-od!Vq%SiEK2Wg#a-)Q`40VeT z>2sV%QD(8~9)_97G&=ZyOjMais%3`Fzw+h<{c@}~eM<_4#m@pOUb;f697)Yqwj-*Y zD=%&2N4d^u7}oc)C+P@~q?3b~7>pC6>Z$zR=64bS!!f&dM?_QRrZ_+XIXUugLBaI< z+mVeCMUC%^tCK;}smGx2yEz@T0hlKAhi8%sWqpjiB%S`re%}SyPXfdfLHp zq1Q$@EP>Jkzq2;~x^Du>&CG;JjjJ-ent zNjBm6%QUx@xtGo%KPTIkVHV#!p?$#EzV|l3B6yV=G`x#;Il;f)JrP3%MNgBg%Dyrt z6%95irh82o1x9~^+DZG*&Q8VM@aO2(m{fto$$8){iT~kC_aLCRqVz1V?rY}L_oY(% z1aI)H4*w~I?C~Br4nC{P+k*Nwe8DenIjtsCxs6{HV@$5}%6dgv>fa0Fa+?v5@n-ge z)*TF|gUf->md>wo!PgtZ%M%Ur0dGK#&y~vpaSCEmyn{O;+1X8_kvxEag)TG!6b=J{ zUKyhrhj4ZSPuhdtz4AH@QFk~Yym47a$%-aaO5N`Ki}fi*bt^yL!H?doz@i35NqFSk zsZ>gmmK>_Zn6QKe!kmTuIMdZgjjMGVu9B!1vH4E@M(1^$9#qfY`RrFQR-PQQK}^YV z$W5vltIURUJZNoCsr8?ULQoVWA)El*J->m3y4(%MO#l-&FRJ2#3;(Et^XF&tdd=L? zCl17SZ{~4RU^RpQA9k`5e}8+p8ML&d>GGtSh~?|^-hYK&kzOotyep~Bzd>j88hqOP z)_O7Q#S2HeZue=SW4*bO2w(h~310Xv)EjpM_v&-r;6ItExei}~$oo=SRZgEQ9e;X? z{25T=08*X$ghMs-;w~n^gsWm<8GjhhdVmTk%-4_1T4i|I?rvxI9A|r7TJ>aS*^(!E{|GojxJ!0RjgFOphPqK)mN^5v%evw|90Vu zeu+^<3XJk#9ZVB7l(OWwLL5e^b0cd0ew^UI>w z{b1F3uCsDQ^;539Z;mm4L4|E(agbN$wzPJlB55aB@xxm!J8yk<&SWE*tD%#SV~tPD zaCscUqIn}pwP1t;u1i^T>YbGpui<_N}$B7HCF0R+O%)N0}5L$Zt>8Zb_nA=p? z$b7Ef!6XsO)X=eS$|cLZ(ig>C$UVc@JXH>qs6Y9uzO`qm8t~$E)n1GC$}$~-CsC4( z{$64e#z`Ny(eM=j@pzxBVX}!TA1K|CA+okYsc1-a(ACPtv|p~S`bimWcb;n1157Sdhz*4voCRina@ zi1s^b^p)O_#SA$)xrQ~Xf0HS9D(}DH!l4*e4dUj zO1bd(7&4VZPN9IjWEyTtB6 zKYI_{^<}k0v43TZ%3|zZjRVNC3|xbyKFwGHq;|5>_!^|i__w)hACTr7#?qk=%wCh8Hs0r&0S z(%PdUhK9hgqfB&RKAx>^GphKJ{;tl2kUg^(paTzHTmljXwHgrQvgS{cH%HPbMz2-G zcDDb4=%U9p8g=j*7ggUPy-Wa8e=Lf7kth5|1VVJ?nD!yQE%X|>|~@NCOQgc)6f zd4<6z@T-_rYuGnaYk!agXF=T38)q?woNZe&PhBA}0cry@7RMwtbr<@8aj|PpnEhAY z5wWyZKA!fTxojEej^Q+@7{f(?Kyd#CAC#U#o%|v^>JwZ#@fjH3sh{1np)hMK>d`~d zp9!@WVOtCc5_w65bCAdc?Fd@dR7Rul;Tp@`X_~T|7E?+DRj{nU16LM?mHWRF z<+TUPD7*3IKldg<1=g1Wdq}F>(Ns7lgHM zHd-wlnDN^i{z+JU@}d-en57fz-X-Q=FX9`c?B3?>6g1}_(2B7LoA-mpfiK`aDveZb5l-`O zyTWtMte9uQH!Lp$PT%qjIC@c6(myo(Bq5|gaKR)%;B(1_u;d z1zdCc?l%j~z9D-pb4)V+UYL?&Al4X}nL!H#C|nP;D^NszfWj;&qFseL66uqF3%DR@ z{>H}ZHWV5C#cVOJeDQI~EY(8{@rOqKuAkRaMu?*Yd-wkAPk*s8BK!O$u_!&fCTbng zVHo8M+!TUC#Gd4(%c0qgXNqjcJ3n$I9*ShEb@;N8VObkfLC*z*Sd~CmMw}S*a|S{m zG%n}9X8mB=t^F9{Gc!!}7gJKOm?aKw$WVVH&z znY*ij|{g=9&)Ti@%YUHQhgb5B1)wprqfp1I>+5mLY29IsV$BE6HOav1v`4n`Fs43+GJ zD5Yzdrweb;MvosHG+RH<U_m?sESk*eH6#HzD3j!1=LR!*Qlgwop%XMo@V5MYXq) zQ2r{fe`p5z6_`ooKR&WD#vSECF+^vj2P=#!VCX48VMqS0{If2@sOFx9OCb?tr2A%o z0FPKLp{s|){MI*F%t;JtCa9HksSR}v4Rz5bf2C{8r$tG3`sPh&ofNKI!{C65gg8vU zZE*z|+JBbU;bXY{;$*R65&Fk@e1Kxb9J#(E zS|Ndv%yv4XoVA@Cqjs*THJ;x%XW1~i6Y`Z2$WqueS#LlW>^78Xq_Q3h?2Pg9BtA`~ zq7IKCQ`Kv5cvC&?EOxAE`K-&jZRcPxOB!CW!K@o?zEQb*)bjj3W3}kp7nlZKB;B=~ z0V4cN@Ue#=X^ZzRAHk#c!(VcUuQwLLF^sC3uM-n#t8hM5ERfK8lVf+cc)j_N$2r&B zoBieQNF+mugsCAM(-{^Hu{G}yDb|wgzjzA`fxDrjck!^2?QRyaM?9_dcr&y?)T-yO&pX3loMB~X*(xgW& zfJ#cB>fMpXsFvO{sFn}3g7+43wedo68JAg)Wi$KvO<%77PXhn2snq6ogg{{a@jqN% zAO`lYT|O*#OZ9nUb}rxw7?A5n8XoT4%%Bctw7k1 z9A@9*G${PVr!TymmRmk3WXM@0qhFbgypSu`yy+5w>Qpgqh_n?l2_YK2>2@+HY=_K4 zzUBGL0>AfM_sh{($o1i&M!uXJ{1x@7+;%DmwfX{C+TbFUnwxSk{VUb-@J_`Kh{z*1 zqO|29P%5j<>VT~!sSKHvfV+qw?o259VFUM!1BJx5FC5612GMm?((o@mmKKd!tk9}$ zTJQ7WqTz4Fs->ap~8gO-NvONl87F-#FcqOBTdNBHnY^R z%91%)5a!Y*Q&=13tSLAN`s>o@_kp{}SV!(3zm!`NsEQDPW=DOm*C z1ebZR1S1o_W7`l3pjp7Rb`Dk9UQO1p6)CbNK~$n&6c=_Md@@Kfswl#(L(!Eg5Q+MG zQ4^K!d{z}jj3Lcb`EeswS%IocjqupgQG|XOiz@Sq1|t)=I5$fPt$RqVT~*=zzEV{% zb5<$`&^5S8pT#@ovcXnk(d4lN?HLdy%L0dVZtGfk1uV!-X2EM^C5pOzHbQ$}JqNuu zoPavYsV=L2LUrz*F~5TF$pzI!rO)0}@!bIj%ZCOyiKyAPvXJ4MBl$R${eUpiO1!dpd#pdxyHncJ_Q7UO+k}NrRs4cU z!_RUX%v8g!=x8m3+(Hk=nTua9(~#S;qtXrJ&LS12WXUiWQ>DD-s~dB^A}h>oZoS9%OH_YgZx>!5mWIx4fuIZLG-WLV4*{^!E3q{e*zPCO%38qo!m4 zJ5ekF9DY=g6gUXppM$!Htii7s4aV-WiFFvoHFczv8NAJNKgtCE5YF9)u9{bH^5Q~U zV-?wk?OzYuBOUN7_joe*6|Yq6VTKd9@ih})!HJ67Qv*E;;_EXFyj?^}uhOrki_cjW za)!f3OC-1A^Jov~?F~9e26g zxE2Yu^pCvYw7vH#eqnVJ!sZ?wLOYtX>EErPE%4&^LDU;SWyU`xBWO9Cyh|M#1*=()ZqQAc+Hh)!x2!m%Q}W(ek(JN_%tbje61nH=OIvm8 zPojocKxet3+r}3>MCxH{x>|{cx~e`KMt&|a8!K5iiba8B)u{{#210Xw>o zHLj_v2gSK~tQ1i%8F{ww1s+HbYRA}V^^iuONH9O4@=z|s+k8UsnJ%G{p{SvP>Ye+d z_IF4B=$8z9_3$J*RKFyB)6@CXxdea=-z02C9n1^@MXlzJ%IUzn)pI#)Nd8+>wehvvSIJ2`f6KH5U$jfk zaOo-_4`V%3%gaw6TQGuQdd5$QJa4@Bt!GORX>AD!adWHLq%M`uf6y<=BJnaLgd_WF z?f%#E30`ctL;95~cQoK2b|Hwd0@1>B!!#LJMsfYR zT)8a-YSN45=}>i@Z)M#IOSlg{D3X3OTVju-0~g$7hN9H_zM%1U+&Nf|w+q;bTqSF=F0LCgg62^}2x3 zCF`TgU%T9(hxYbdNxjk#xV*u(fMHiZS*tl&3z$2cg$B})qXm|b1%^3dyVq%Pu$@)c zn_XUIFY}6ABAn9>iB&E%V^l_yM=sQAupW&YC`JDV)XK9Vd;-XPv+InzHI*vCHO&~- zG9&nDRb*lxaXu<24b0b}r^5>sF3~>Bv=1{DdHJQ3-cBof;DyyFPv(T1@v_@f;<$yq zS)akb6LS(l2O@~GKiad14U*pazcqP{-_k=J@Mjo4wkA0M z+U;&ed!K#c+taPHmjjZI{mF0PfIFwr9{zkzUuzsbf77W{`=F>%flZZo4R`+)(*oq6+Vi%)< zAMJMUb}y%_x|sd2*9O{6kq5A?=d^Pj0*>^xEx@PAOcuKT-XqD1b_C1eX@ZQof2C>| z;KM8X*$~$^y%468y|Wbn<)KwZ`l%m)(2G)zkdL41r0b#+ezYy)Z7WTnnnBj>QorWS zN&L_ed1-$yPmdd~w~>ZgeS7$eBnH3ku?i}qgJf{W8S7y#u47HB$}Xz(&i$)MEFEt;intpZ zimH?gnd1k`rOtW1{^#5$`Y`Fo=d9}brFwx%rf6Zw+W@wbcFG>DT+JviD=&AX{~atx z^F~GSI^SJg5eX7Oj)HlK0eEafqzZKa_~bu@EoAZo*zNeA9GsCJ6!tRLr80p$idqe) z_sG7DQ13QQIW$t-b337MEVSz-g)gFm@ox5+eH## zO4HNj9lt;K{6~M-(KJ>zUy%9o%5zUC*Q`dWoVR-$iAY001xfE5_c z1dcY`fuROZ2gJY|jWtdEb2l!7`mfsL-OIj)s+#mv86oN46(zwt9nFWuGY;a56ehBQ zEHVrcz3{-nA84D!KesGU2}Mwo&~j4`HzZ0&NK~BvikmUkq~o2$2c5 z`}{cFk!ts<1&emTz8xnjX=j%Lri4o#VGyYT4G^1w?PVr4DpjJ@Y3EJE=c@#1(66o`trUj zChXof`gq*@np#!kI!3kw9}cDZ^}zz!Tb3R8FbrbVb8u-cUfjvFyh*8?`LF9W2qsj7 z%ECwy+cDx~8;Y1N-HVS*HhN4?eqGX@Plf%%q+(2O_1Ro!x)%O0IxN0ir=H(5w`;+j z>a~8hYwx1GKS&}7bh$1?ykB|GI=JH~O5~jfdxTSSc{$t|8%v_x1z8f4G`cvw?NtGR z4A=+2%4G1y`6V`7t(SBu3-L3bpoV4ABynk*jH~?Mgn%mNz9c~mrdr;XXL*Hv@bsif zkxfpQDwGrJ@#NuDb;ISDA|0Xa2&^Ga6tOh?b1zPn1A{tqON2gXp?^ZWI;6Bs#z6B2 zJ|v7KQtM(8R#P1^E<3Wz(bR}^4tYKQOg&C`xzommv-akk>>J-3m|6NRSiZ7!uI*8C!IxCJ7;A|*B1c`%0GBZ8=LEjU z(=O}tH2gP$|ESzZk@o-BLu3>@vaEdNR361Q{IJ>1T6cbg<)eVe7e_KI?4B^`;`kVd?-jxm-=|}s@@O0 zl}J)S;peQo9ZAVPH1N^~I>tt5(orJvdbVXc7G$Z2lSidM87nf(Adl$|(Vxl)&*f&vw-=4i}4^1QQPt3U$* zvqPzaAlJAiozM1iN)HZ;Fa;0WQZBEvuYfr#quf4Y_6pDEhfP{niZ1JYNLB3n>B@!F-xdo^$c za`tp3n)KArVDAEuurN>(`Lj1M3X9!bIN*QQm?`Z2mTc{IZY^c<0H8T zpGzQZ2rxOH_QM%p=~-tnnZYxmhEUT4HRngdpbZ7c2k#y({&_+Gq0 zson(j^T$(tY32~<4Jv+Bh)xBnJ>Q9MLdl;*>rx;;OAKLw;n$s34|iH7VG_p8%yw1@ zo|k45d}+!BiNwgCKZ6%P$7=T1;?u(Cpp7I)k>ogK6fgU|+b;qO5@8Gti{w97c!fRw zZFx^vZtgu*{ze!)rYYW5zo0oI=+j;&MIJBE=2$lO_=fn@3p4K1-)Zg5I|HI;&cqxu zoAyx4>lus;t)s0LHb#-$R7epFtF zBJet%P-nmPziW&5*ws2pIEX=a1E8EPob(&9^`>M|T+P)^&DCY}YXm`q!`Ro#%4%CD z#>o#k&uQ9S=4*|%dOmM9svsW*Ia28wfYj#^Br6x@mzS4wtqf+E2MoSf7uL#VRy=nu zZUGoJTqRYv`)C0+((8#T?lC(Ym}9l{UKDsKf>%>+o+qWYdNmbIXhUw?qXgL!T!-1q zQYpv$*mM2~{kGE#3S&0Kqqs26R1`@O=Cflxi6})@2kb-LKO5dVsi_D8!A7EriI@5N zMO~on59n)Cu;?&W|A2r^h?lydArPhgq?Mj3u>Zdx|Fnm^YK zypj{`rv;bqN)rbp(^rOT1?5 zkCaiyyl0VAI*HMj>O|cnTc-6>&Pf^t!zvYcRYs$8RwxRI(CH=qBm?du23wA75z?S& zjOxT6%z0c_#-#&n1JH z^PAQy1BM!Pjw|$93CJZ7Dqhh}kTU`CU6qGB!EV}z@7r(p&*P8$3oD&$DDH_O08Qdf z8vqE)X3iiUAngnrNB^fL(BtN~rZ@5DmMWN+`RHkVedgYJaW}aQ&W<(C(PTv_xmjA) zO-?~ZdAgU!;rcWbFt_?02VXpgu%@fYZgm_7?ERc+KMi%5g#KoJ8uh)I5bY=9{SjVq zDyT5Z7wgRpXzw1&!{{q2wE$Ww%-HA^ZC_1}{Tv5Y1l> z+W|+C+(g*`dq-nur+SeGS9%{+bHeeg>|*U^ng*+ZW|(G`Q4;(AeS+DTdlVDEL6PQR?f&B``Uo}7(RS3@|7rKaRQi02y6R73uL z9^{Vw5{zY<;8NV}wW7`UUh5Dbsa>TxTEs8h$A5U=o`sQBO;|G1DRtgtKQhauwo8|P zmFu=ZrbebX2?GM`6&X_*(T(q2x~+toMqTND)!a(Zc{E<<*2Ca}i%G$HO1(!Gi6cg= z0vSpyj)o1IYJs%kHRij*=`2EwdQWMpG4shSIm{W_-wT~-u}$2`8V)Cny@^lf;4{Z* zuHNu^E#P2)cfANzW5$1rogxjib2SU%bTOr-r0>76Q7AQSJC;6JWv2iw(d*i~#{(iM z{ADY3rDc{4W7D${&%1H|kG+~YIeePZU}&UA2?01pa-4WMhSamCmo9;1q^pAdx+>}6 z*PLZ`csx}_lD#VXU+2KI8T1x$Ysb-{&x`Ar0e-QxW=>ZFVxxqayJaJG>Z-{bU?@k6 zm8;?^uot+Zdk0M4OvN5;E8Vsin7v9*PRLgYA%nOe$|L{ch}LxIwQ!kXEwQgOq*rbG zi5I)yV@3P1vWZ7?#vk#z*S1o0Zr{B(r#~P1Ta{(0^Dz#oKEjGsbdsqIBrTUUU}aV4Y?etB2Gfw;>x&lKc1_iv=;3MuJ@W|wixTb}lR|9svg zxhLPtOo+ra#YI#)ab#Zi}>*RwW$&x^_*YEb3;xunlX!qwaZ7(+d%te9ph;PbIussyE#C^#3|JG!f%YXO-oZu0eVx!qL7Wu_DWP03RR|Z3DEOogs&w>v-eq z5m2*#9}tz}NWgOzb5QH}NWnOLBgEs8Cs9j|$mmnH23ESgfC9-^qU0z{!0{5nkLpHQ z;c(?#^DK$CUmKlX9TgHdryuxn@i?WbPCkKz<#&`at-skdf24Ou&9xsd^{v_C{J~%; z^22Sg2L@D}#tsSo;~W|*Mp~1g`ec>w*5+cTLvej9}|JS97VS+{{=3Y*RowZ;F5 z?EDBU^g~)?aR(9zH5T3&RU7g$e((#kCBQw|LC-2Xu_T?RlYWHlgBs8T_w~^D_%TGf zp8{TMARZXMW}IqVw3p3vx=aIQM_-;1KpHc)9tSe?VKTC*HUEPtOU%)DoeJyb6X%8a zhi{@a*$w1QcW@=2jZoGOyF!I7yJ@3=X9~Aox+J7=V6fTv?^UoJ?13T{XqPxYgkr!7x4@Nw9PGf}2(2RK zNBti29r2HY*Y0Bnx&G`s#E=ef&+0T88b%>?`OorOPJ*0BHunkPqEWoSEgCQ4aJCZX zVed(h8c{Cny9-<=X#rLU;aq7b{KUfQv(~p)+8{-j*iY5S5rq>>NkYIv7zphL*5m)6 zbnX@;j6my3X0Fo_kp0-txzV}}sTp)=n7e%AhQU%0KEC%m$HGFVx~#Q~r7B*p3Jilx z2st+w1Q=^NjJt7(DiLg4zS&_O26NHwuZB22-oaa-FAh!X#HbLP(b&-?Oq-y?FZHkfabqN&3JJp59MMnA3;pK4^PbKO_RlR=w2PC+j zDG>S`yl%rpp>p+fZ@x1DnkmoEz7h+{p6(9bv+y2Pu@XT39;v? z>?{(vKgUWEoU66C@WT$?r2!?c|E?^sSZHaHt_O{=2;H2?iGXsU+LeZObm7-@Um*(X=?uq6_d zXA&V)eBbgSZIgkrVM{b*BWi!rC2Eg>eJe`&tD6{op19I=I}SEs&}6qiWP>ZW{RtR; zKx>E{lZQwxIxGfwkl;PwaOh3L##o#{N8`IDsHDfXWA@!TKf$WCup&&1VCHYiNugJM zvhpqhu{RW%siOgDkKyJjU8AeZa^lfIjfe#Yo$3s~8qDis`Cm@)B}D+O?2`X>)RW!I zO+p}4^c+)0I`IzlF4V-wTfgwRYHL41*>HVyb0A;dw_kulIX}gmI(F_=t!pO|13>{a zgsf4@EGt?m_HW@i=&>J6*7{+-tYl9SJ4Xpw%UP@&uhN;_H5ZlYzQNle;rfdi`5VL@ zdqB&D0O-Y3~scnR&1_w68C9PaSf1{{q=w7t_4 z^P;pR*W$+Q*Lm9XhIN_-WJIg03(Jy0`^}$Y0wy=FYB!(Y?>siIy3`^xDYU;a-n6!1 zk+F0rm%o2w{y8ubetW}U@Ty8ZIaz7~E$f@DEOuG%IS^wdKopk7RXwS61-tQUY(bTgIsK5qI*t91_Hg*XJ(Vk6-iGzU9c? z8qy30KPjw;lQNt2gCisRm6@lm@WC!5Sy|RRN`FW@=lw?g?QhE9^QmCLvp@Uy#oeS2 z{(MGp)isVyM09K1STu`Lrr)dR z{(^UqEU5z2F2w&T!wiI@U~G%%FxLq?OUph=vk4J^I|cfdbTh{Gfa9sJSSheNTcy!G z+lJr4XuaL|RPg5I3iw~1JCl;`czYOiB<<@QB*^0qjl?U|163TM1 zs2ZRzO^~!0wBcfvI={fFlje80kc2Z6dbSk$r|CT8;}#G>P}QB9#DCwIj~Xg7J39qu z`7(*$^(8L(R~Qz^TsC9*PE^}mXA!kP?#GCDKX6SxX+Kbs=DqXsvf@8-(6Hfh5_*YV zl{4Dn0?&Q=fNU|Hn?$ld;C%jgN-{$~Kg3`wJGAU6-J+bje zRc1Opmt)20p@+$irGqo3Gm4X3j2JAAzGD_wMbhCxB^f>40E-GqN!@Y?nh5;Y-`Lf# zeqNK1zt5QHrM+Ha@`W#?B^( z`8FZ!NFzcJQ=f}TVm3iD2={=?mUdVxmvuDZwhmVk(kRl_EithR&UcuYj^2{k$#%D0}dcSBdfGol+Tc98X1+4URycO)0PC4^E>nNHEed z#;SC}cZcBLVCHigOFt;&!flpX+JGkGY&g1P;AE!ImA!d*N-J$sX7Tx78q+zHOyfhE zbHMs9taM5H{D&Y8>b;kdHr9OfB_8YCQ*Ws^76Nk!|NVsV1Tl?E+KZy+b+?tz(Lj>7kXlY@PoL3c*}5R^=<4u%XHe$1Z_Z0 zj*j_dWt+DJGmj{PJB>h8sE?foG55`lhBaALpcoegoN-d$6IrHG719+lM>9+2&T8K~ z*_I=s79(O7gI<$DUX$LF#Mk_xKQ8j2BcuQW)}K3AkStmC*(-LZq z-D^9L>;+h(J;WYUUva<6VT+!vD`itp1V4qqwYq+^IvI@kT|$5ky;Y>>0JCVeD~uYJ zWj3_`I#}bYkV4Z~A3X;}OxG5ss+I)}oFZ{K;yhMcbz^4?K~h91Ls~GHp*iKZqKF$>hVqshPEX+ncDNDH zMDayMmS!JYW;;_yFL?2Q^$6RDVM*qZ>}nrrDW_zA3CKnoKTF!4mcLj4Xf;Kgj=OBd zyWQ#D74H^$MsCH=r0jH^nC~~VD@j^DK!I=N;>&bu5O_M;50NOK=fSI?AbWf$JfHKPQxl1OPaLpRawm2jsG1k~thI>3}nt_Gep zL=wk~Zfg*W)2Zg@U*)ALXDJ-3?W#r zz_+X@YoYbH|JenC%UUeS#g+|6SupJV8+Evatwq}moc;{=62N|t?#URqUY@|IySQ_R zRWPMrKmRy4Zg-H8+e_U@y5!76@>R5mtAmYVhM7W{CxJT& zsg4{H75ji9x_tem@&9Q75bm*a0za{XFf%lex&27ni}J@X76g@SH;4?!VDMS;sk0AJexdD?d1X5qj`~|9-XX z@p>gB2GTTbCze5>dshWC{aA&-6pi<^>1?gZo_6}x9&Eydn1wpA@jo7W{vO}jk`14^ z%KF{-9i>;>V3{e0>I~f4EZsyA&6;rd%}8EWM_G(N7EbhV?Q*L{JF#5`EoulhYlZW+)1$Tpt81{ISSu|uB9cVc;9RTrP z0rW=EC9+XDS5q+T$<+zeL;;>3+NN9$Z_y;JQ!5SQd*iqv`0dSm(xDmJg)qB~7{Xp< zG-zlvY}j)x4=3}Ay56X3Zb|%e)%!Ol2|C#@THcr8`v#xi z5@B`vbB%#_W7eW<^H=QLv6?F<_Z`369T(o*R?kwngs;KfXJB?TM|h7pEKfH}!D;aQ zn*sD!12aZv=I3u@o};?T88WwyCJf9bJ>yi{PtFcBDExgJEXQRA)MU!=813E<2UW?W z9QN*?9@bCCJBre+MSX*ivMQIfkvPF*KE2$$JRD}~)NJ?W(U+DYS73cRKh3%lyo`N3 zhl?y#$drX>l`m34hw3Rv`1Tjz-1wJ2c{?%3T>P19HZ6MNzWDrt&dq|?WpBC=3Ikr7 zPe<)0MHL-cvifx&Z{fwxp_oE+)a zl6`W>)PFx85qZ6MgDn5foBI|+cH5|%_o_C&neQ!J85F(Go$OAZ)b}1o0ktrSiYiO; zV{$kOt~EFUZOr{!Dpw+IHw2%;k7bT)RT*li`H34##47U>3mu$tQIdT-XVS5{#0oi7 zlq&22YqPN+f`hPfEaPPh`hh{AEOq71h3Fr5??OB2in|GA%dDCtUt|l03lG=QiqljX z4yy1k%ci2*|DV$YHa2uZ}dJMkY`ckEf?5cLU5({2p%`Q7DOlr(c1oUDKl8V zJNzDK6r~hon>949Mh6%`#xOL?U^5jgXQVP{@E#I<6Fc<7u_a4VcL0@&d}=Cx0wQuN zoGhjdQ~s9u<>bu^yGMr2?d*m|5nbl>&%V54CamCNebMUw1Bi1`!%O!{jMMXnJ!<*X z2duA*Qn`-zIt-%iZZs$pzMu%cV0rc^H8NfY;+$LEgB<q6UA)gThAO*)n!{G4)A zjRXFsm18d8Uwmp8_JEd}FcM<7ihbhj`rXeiL0EYM>kV}cJ+TZM?Utw1;!frCoV+Q` zl}HR?SK`*f8ao4ybfyihxWlZFbWY6^OB|y!>~rxXqSt0dIZPSh&d@e_+GoS z(OjB2SSkOu6vOS zkpKi4z5g#Newiw?Fb0Ax=38l3$2S;ERP{@W%o@bMqm8PIA3R-b*kD|2CdL#LMV8hC zhaDjQ$~JlIt?oGV{-qBD?e6|$K#@a|%T1E;kB1y+JKZ!%0p78wIZih9v6{za`(69e zFV}A6gu-$c*cUkUZ0;a%YA0jAVKW$N(6n>(vCJ%1WC0a|gW#Jv{Nvjs6M8)P%HZgC zMxRm^*;VFu1y6cd?}}!l*~hC%Eo`K&I7tz+(Oyz433q<{`9hle@9A;3?%`$OnK4PfM1T1Hbzf1T zSyQ%gmASwzv71B)lCIs>IcV(G)s2&|`4v=`3U#2-ZD}gb@JqKSkis*}X(+gok!^n$pS{+Exu6&wXmY&BZvSo7}O#XTX9 z*Qys%IX?)#B7VMf;mVXmUvysHpijv~#Fnbp4@|a`*=PmgfgWF*EVe$Q#HEf+eNUcT z9S(?{*4GbczirV&4Hi~=NQ~Pel%eksjOMWG`fl$zss$5uK2rKV$3qjCO?`^A23|E; zS1Bu=i5%9}Yv_?)Hs_|_2Gc_~i~>M?X9lctb7nrkmNdf}9!9DE zOy`{?H5)X~dnJYH`(*PVVDbfHx2J|~j(*43nE@cZoVO0uKR(%89R}wz!6TT_8Uptj zp-AWc^wCeOt;+w~%s=k*+-qGGkn&mUDpkAS_5zb^&Y_J0+h8ta<|S$-Iz#%Wal^V= zt-IxSVW-fOz{#4LHYCv8%Sp@<>Ku)h1B&l*48mrPZ)_ zMfnSn`HWt1Ju?KFfzPRCMq?EPxG#jq4w9m?JZsZ5QR?+u)djZB8)HTCeO@em&H&r9VNHIG_sVmj{iZM=Zk z4BiZMSdt3;O_2$oXEWG_!AtrP-pICVTP)V&5x09qNkGfMH(ujPhTjyJ?B#sPDCh@? zjF9NWpIJUaqk^&#LhBb^$)at^epY}+xSqzOUY0)ad0B?61u9VeiSl%_F7$S5U=;8WPhc3A972_KWi1i%5&~vMEP?XJS&|oZa18#0xq!rdVZ}VJINkndUmnQDE9~U! zck<2eEL#;Bddw%-3P;RSplxi*GfZ^(=%No7E#%!=qu#vuwhuPb0%Z6rFR%#OT~i6Q zV8Oi7{c7%G$@SKhj9QAKO%8?tmi~aw^R%_&=-YhMDmUCaZNKMO_{GGgV)E!rO$9pb z5wE*`hFI2w6;-gE4%ARjxpy?0EIkRkiS}cW@QlJ-=m1R+lZ`ndbs| z%K*w?!wHHyzOO$*J%ExfRbU$>$=&Qkvwi;_375xdx=wt$ihz;Ovvz{yagRZsP8Pw= zMBHd~dXGKMgN?DO%1n!zM+^b(ZC>Ah8k87TB(Ip2G@{5iqV5DvRIHdQBO}Z^g%HeS zB$rFfhp)B~R+(uV*&<19@@eWDetuEO>=>!|JDH7YTn>$|s5ewcx~9u0^UZU8hv3T8 zS;cf#{b>=k@>ccqVY(8*75f1|VVb5-#M65Lq?pWmegRiEu2M`+)o;rrI{lT zuk~)W$H=YbCQa-dS8JDR$xRx>2l_nTib5DK_x^mgTyx#uL&ZJ-4G3-IXmv3Ba@Pi3 zTZ9BG>j@deR5;ZO%R=9kg+j@k(g+C9Ze+r6ljt!TuM7J%O4l*+4>)Bec^ZR$5Bj*% z(ck-cDBWW65o)Xr3qQdyDgy7YH3nx#5WOMpUJZKl(1 z5~T%rQJb}Krxu4nwOimhl%!gYm_})i%ps-D8 zU4@vh3nFSzG@*vInlAZa|2n6JG`mDltLqSEi*n^i=(4R+<#iWRw$1)g~BApm(+zl$?XlP+4cd}uBpCf0U=KIk7Tru%{Bdhn43KB~2w-(86x%(GLG5%GXd z12C zPXr#WBhHx1Z#-?0$WkNTM3j>cQg)r}((q=praett@{A;6Xw0n}zazD)l#V|RIV-7i z&ld5k$|kO|e?(InI?;XCe?9p-^JO#i{J1P|axEqE2u2KNT1cj?negaZ2$`rf@PbTL zG<=k!GwvE~0RSHbFs4w+Qa;|v&jMv5Vn}|}!d;{P>a7)IAN$}}IS`a&`vs{o? zt~EC{s>;d+pX+kn<$vrf8p4T@FfwAe*f8(Tqr#g%+|vJR3WN8?>hP{4#t4WCC`VA%OA(x)qvg zYHAJ(fIt;N2nh+zFm!>|%ecdizv%fckn=|bFQjh=awV0_&r9;$S!FWs{lGx+CQp=3 zOd4BAn?b{I2_KyWohHimbk=?e-fI$$DY*O^Z!Ph)XY~@~kjwL2RkvFT6w+kFGY*xTW9rlHu zogHsJ4p|)qckqS4mi|)1YWkVqsn@5i&PALRK9WS?cd#NX(}8v+P-p{=OOq z*qIfoe%jjzK$z!%@Gi=!`V$&$CuQ1S{dh8^Z>gW82cDbgn)(HPf-8)&a3?}~&Mi^V z=i=aFg|(Uxffew7`SQg-Wa1e6b;H%eAI_FLbG2(u*A2y-hA>2 z;|voHl}dq(OXuD$Mk5C|iAL@90{4KbNvx7O8-w2cl}cOC=c3r=KPC1x8Kw@9sO!aQ zeHFTA{3nS6&JeHK^Rr{@%8-{4unG`!@ZT>4FJ8QeW03g=!+4;xGf%wQ36SvqJJDAA zbt6!WurXdEleBsa)>SM=qhBxt(XuDCu!exVGRNr%yM-K2EQK5mX5uzOu=7Bqt{4sb zV7I-#qz(cRsVGSo-4-bG`_g}j*BtQb2f9~T%~4{IAO>w<=_9NYflfK5$x2~H@B399JU^juGP4W zuL?$(Uw~F85L=&A-a4)n1Z)d{(#?R8&rn11JBo8^8(o8FF0$M!gp`a)|1ICfo%HjA zxO2o)!Jt`Ui3#@$2oe&KpjDVbTLJVO?F;d7c3y>%X*xyB1%A8PfEL5Qtky4>0P-<( z_fF_gsqT_O|0_Oq?2s}n^BYfPWYWgVg4p-XZ4$(n2ZR=+n)U^gHm0IN;LYaQU?hBg z`@P+Am03?kv9Z1R{=dDm)9F)-;&_r-*lF7{PdYQPsz%1^*Rc>|(-x#{K(3Rk>v|Xg z;{m)CR`l&meluZzraLvH|f%iod}l9l#7UP zW-vHIPX5Zu)s|TmLH&PQwL12{{Ba5&j)>;WE=N3nqj890AGl1AW83Af)1;+sslskfR@O;N9$h=%!esYL1w^JInS`^*M5EaK-KY( zQZBJDFsLnX!pz4V<^tF6}{va;`DU6Vt^3JIJ@fX5C;n$j70_ z*cG706sVlKJq;UfKqK`o9fFI=Y;Gy2iB;dAsc4GE^R3j=+sK zamc@X*}UaMF@C`(Zh?nc-Fa}4|3&64LIh`A<_!KrMjN?Jh5lXs<9`i)t3$OS4mdMy z27OowU!)SZoCM2j(h@@yQW!)Ar7=hW$1;>KvbLZP= zX2N_Um#Jl8J$3|yDw=U8pNs~cxB8zXmWB9R2cE0|19a=~U#nG)3MHwI55m83mu7I!3#V=jao4a)MByu&~3k74tqe&xFw(dtXe`Hv_2URRk$7IU*ZF&qEw+c=MKfnc5lzpb;-` zKB;yGc_kCk=5z?4FW<`?r zz~jG{SKfVelM$1OMcOK{iG8v*a{gJY!tjbt_!M}TDp{L;b z#L{$ejB=3o0OSl-_ zzCm9U3?hwlz!#n$HSPbIJWdKdOzK&4+?molb?L z($B$}moleoEmscdg@;?5@{AW-gs`FD&X#XW4SBez@rk(Wa!af}3s6T(-SHqcyVx=t z(629^h-?NO`eDT!bE_QfZsVyvLqEg1wB4#9MfVPFFuS z9ye^>yqHPh_n@id7dDt`GrRhdr!Uh&G&ODPbJnXj>3#HRgGzC%giTl1 zry7p2{7C6Rg-5OIl21zRf9T0>Hj~Br6APwlesz_C*LRW>!kNi~Pt$&=d#|m`+XA4& zOna%sq~Ry=-sHUq7OD$)jD&cSmX7--rF4oUT@mJ0W=6K74d{mw%S^O)sq8$0UM>Av z%J8>8cdPOK9zQrT9eUi=g3aTx7e=@*A1YDIQPiwAB+p56)VH%j;)onJcI2e2b`z_T z*ld)_9BT-a*k0e}qg0_GJ|t78i~N)B%8A18E(rgsUdhqpe|?wB))`mD@NgK0o z5MqqCp5II|=#03ne7~6lR@vr@Y0WOfW|aggStgIOy}aH$5PIpl8~^g_7Ff{F_>BXv z(b67ZUl^Fwyw8%ne^H*A5#iyMXE0KJh9-48Qxvedy$n=U!^T8+6 z*}63k6EzN9$1W-a5OqC?Iw4ACZZx8uUo(!!~$oLniL4kB#ot0{}=@V$EQQq-FYp<$n-#vvJY z0SZoCo-7}^(ukUj5BxqIlvjt6t59;Kwicy-nq%J2=cEqROcFyMqpXC|B(l28Egj)ef- zy(KDnMuPM{sHdaN1)u9u@FwxhkLhXO9e#<=4Qq~Us4jad)AC{uu6d+;hFWVJgB%Ak zNI2O{8Wpv#&SAiHEH|6d;8|kKJ5P)ti+z6Ioe_M`9TI1Isb#f0!&t+O9>dh<%~Mu~ z@cFqpQ&?xb8%+2#BCO>z!CGKeVkyvML2~Eotk7Ja+r*cqjja`^bWJhr;PtpF^<-9Z zDq)#QhV9GvjU@H!br%tmiX>%bnyB<8aW1M$r1wfMA1|;*N@Bk}gS$aj99dTI&@iY4eUHoEcavu4lgebhs$T&!xP* zLfAnT)tFHiGWzS=PbD#uT~fgq=P*2_8x|6@k=4Zl>QCFZ>Ml4yh5Y7GNdArFw~=d& z4xX#*g#X(usmX~PY`}ygs%`Y94u#22DKtal_ax^d(Vau2qVx=~G6LmOJ{22IB5)Ey zndvi2KLvRKhCDYmlzFI)jGp|YVN<`xl&MV0750Fc9*U?zPf8x8dOulY9!3gSTo8X_ z&JS|=)G4pMF+)|-#wvS^@*(DT4&{C8NXcWO`-coYb{4f^UR$D5V>ehWWjf2M?7ycSR3Bw$+6M3lpq>%dTV1Yl0h=Fih5aK{F(s+jga z;5mG@dG5YcnqG9z*8~$6$NPX*We^x4+mvDF#J{StRElJdAYd4RX{_+cdSQwFh#H4C zK}I!aGXZXx0y80kYk631v0qbwAa*X_^S!^#XoaCRI24VHu#SvjL()TeF;4P45$_iC zVhCmI0$mSR$7nQ=g=gyHd2O%Rl9xBMcYn_5+N$4%vNpbZyi^W*S$AL0e05~Si2(g* zK7k616&|KrrWM^kG=FfXFZ^;IMX}f7PbS2xnf(7aFHw7W{?As^?ENj=PM`t_p}}^d zFra&38(xrgkJm)E(Nv(_TfBb0)wB2*U6yhHq+g8@7q%pWRaia!|Fi(*ci+k+LRA@I z#*&^y6f=^c=IiK+*Dw8daeb~Z@7_p)xLB?+IWof5z+-9NTD%)n#2)1c@D-Aln6!D> zBcJ8+d_i1B^g9-Nrf1{p(KGRXAmOKq?vVUk`9SK?&QCW%`T$G4svU>Ei14f`iDH-i zccr)_EzqKsy1XHGa&p5Ig_uds%dB;u{hA^789!@h;7JfQ&3rf&i#pV1CZLu3y*h<> z0E(`V?$W;bka!=UGxIUc$h#!-Sb#8zB2p+!-Nr%F6&r*pL_&XE zuF-d@Px`ksglK^Ros$}h2{+S+J{E7v%%5b0c$jhkVxC2YCP8;K_%@2ad%!WMq0q^E z2!ZE{l&pF~VdPtG0zqcoX&{7jr{|>FM%zKjZA}+4n>696E63V^00`RHe(RUN?p&Ox zJm0S60jaleBJNX@xagX{qpl6}EOgNN0CtqZLR>`Q<-@V2kQR6u#)y%5Jd~H(f*@R6 zO{Fs#Df(m2)@S)TJz>2D^1Ud%CZIH#h0AB4R%?8q|!un4CG z&2RO^_uc$6uKCr$HNVGJfpt}sIWfZtIRG=XA zp<+<$8=m5)y?^6CpUBI2d{dXG-TD?I@u;p}5ZB`SUBec9&7Ie_w+COD^P$)Z)>3|% zqSTpRa{M;#blx|iCRjR|A?k$SIQDEqVGABoOXUVz9U&5|>(*2nX=e&biIm*oabP!v z^s)y|4!I=5DoMs)>q`zLe1&byc>f8sjTV9OZ&lL?g6oldnr#>-+TN6i;(Q7UZ{o7M zTx^kTYHU1_D)Ucg1@9kxYF_~3<^w4mo_QRFc&Zw9ij-WvV<&-3-^YSce&#&X&DDd0 zD_^qg{%mwOgh9(_g;6BOxTr*jeI+&?8uYL~vkFt(#u3fpt9OHkTl4nb=5kX-L!9d8 z5|n95W#V&;lO;G6DZjEzyGOx$)M)#Auz)twvcv8siBbTOx?WUc2=b2_XVGneA~hA; z+=*L~Lr)HQFAr;|2v9qwSkt06=N};=7w-1i$S?h#3?Em<^k08G7W8|W_`fuZ2SSpP zqCyEn|2VnVH3&Nt*iUs*R(w zgFm@+Qh(`+u)n%+f#H}8IbchL=EBayX0_&*`K!^3)s`MoprnB(p>sJW3Z6+7=p4J` ztkwS!C1r4jo0{rr-L+`e9LN{j&34Bc!yo}q<%oAk{t<*8F~7W>Eni?RfCY(BED#@T z#1k9#3Ef455co+&i6VK?0!uwTgqOv~iagre65fGvpm_&~N!&h-ign9gJlvKKYHS!D zj~iC`pui}ZXrtJAMvzIPBA*QFeiV%#_wi)U1%Qrm6h5(2zpUWPs=ZT5Pyk2JC*Wn{ zk-&Z3?SO`4j8lrIGaH`bUkum(sA_>Dx$r*gS>3%L>9`6zs_jv59zJ^igg)+HD~v=h zrtUcm4%R{E!h>JUKit{qT=rjAQ0d3I`(ot>wXrtCQltTqj=aVa26pP2%xMY9|sXY76s z%6B00HrtBg4TmtiaK#TU>>zS8yZEO-fC6a<>#vdo^}bKOML?%4>|Qtdkh7W^cOVqL z6sr}==Td|lW%m#-^e{{H5m7~ZolCc0Nv zc^;YgsaF66_r9ReZG3O^eHa+*y zX7LE77*!*cQsW{N+Z~qDRxg>gZ36>!iK*!&XLWH8yNLuXP)M#Sa+Gw0_%`xQIU83AJ_~a%5b!-*tiHFctM?XX|bC(^>`A&uk&wX z9Dvt*N4I~ALGwkfwNcOPbl}k21$^3FSv!CMIem~?y z+S*S`QZbdmA?KV+N!9Nuk%A>xdeu@Lq^hT4zk(g>NFUjU`C&UNh9D&tgv3cxG<)X{ zu{#h5!k?U`O3L*V2S^=x#q-VS%QX$Qch3*%#j zao7X06?V~4V_(gojPUXUnjNpF& zdiBD;Y$z+MnatjCV(3k_8W9DF52dz?#x)}@5kB7qroSXNP<%;V&?K9%Ani2o8BXyj z_d1`_h%@6dB%E`nM3$Ruj)Dnv0f0#G$2?>{(-$kEh__xQ6%Fo1zghg~|CT++oxa_} zRrcp+oA%3AclQCyH1RVkGEzaa7jS8!3b}GPT1Zv;f!9MYUyZP*)uW`p8o?HvB$X*; z@)F)l$=FJI;s=@@ymeYo0hZa-k}@o?!JhHbVPLR=%_ZeqMX_e!mMI|&5DA^Q3bI#y zH?lXw8?53Wh z51ftmW@F8{AQOVteMM<8qd?(TX)Fb(!6_1Q2(&|bTCIJMuH zq?5_66=K>sjdp?1~YfRh3^_U!Z*dgd#-3~LAul2hSI825Ui!wQNCnO z7jHf8(!S);~SQwC1&ukmW1%BP^a zvycnPQUqPg!bd41fp-o0(|Z+^6cweotW7A}KG0G-rTn9!%*2N+Eq2b!NRJ8txjKtN zKEl1fv#tV5Q8m#0kUFQTn;}21l2$R#3_w{IRrT!o{WPO14i`<`m3Ow^f z^pLDFQNFb&^0IA?rZ3&@nsmAbsesiK9QQP|ktLR&#mNZGWkW9`F5e2xhwLEp;evfm zJjG&|qu_9ukD@5B)i4%)`xXv-vzkX6+NqDXIeFc(@HNyS05nMhTGd@)eR+J+rd~L8 zZ0)DsVM>@4Ig;b#ql7CPD`U#R_%ie{eOhEWq25i4;-qd!6`|BN5RJib&;w;qx~8Lf zY4uLOHv@ie^l!}QJATEW9NVzxx3e6f)_d575K5XX;7nJ6(1T~1o_F76y~9&d)GO}d zw3h5X%2?ElE5cfw=lm%{3ObPEdSsHZ(HO_XZY^n>@oG&12WXE=PSZF-MHQLra6eH4 zQBL6GD^`_D^esaC`O17yiQ;h$QnDH~n61RNa1huk@G@dH6dM(Lkzrk$>TMAcK|=aI z*0K_Tzs6h1ne3d&STkm|TQueq6gJ3keY$D7UlVGr>wi;~9RO>4KF4(K$F0e+Gxw7H=|k*D z4Jg3elknyBXVr$n2^4dZkvIxMlxF1tZZFp(Pn?xTG;=$Jyx8d0=#suU7CWqe^+&wT z_~Qq=2xzp*ovE%e_r|>9Dg<+Axkqii&tzS1gQkPjqmc}`TGxNATXXt)xKANa?)S zIT;>euI{rII@eP83JjLAx5m92%u47Yx5h>qtNF9HO}_)#yU6&)xvH=b$pR7yo{HkN z6pJFMBB8^es}Cr-xs;zOK$wDOIM?(KMxt#k{>o^-BU_>tT7%tU z#KNNo*@mHweU^#X#Npsr6W@-qtYJ%lae`0dhwbqqk4MYbKgfQ*M&}AV#XV9`_#s)S zK#mSqavB{GQUcNk=D^MX@Nz>nnojf2rkpU;Gu;P^U%3Vs@;6WceVMmz!KEE%3)%jv zckcAdbo;I5raroahYJr#ce2Pb0|y5O;z4isQ*iCzG#~CP0c(GYGb8Nbvc9~-1<_XW z8N8cg6u#dd$j}(Y!@b;ZmG*uG(3Eh7NBi@yyR>{0cxhP32w}psqeHT-)b$EY{vZ+k z7$iwXm?7`2uU9pgX9;us^~d$)o<r({EV2cHi#SMx`YH>V0*!f*ZB-y&G(t!8Rjur6J6!L_rDNW7 zo`(UQU!n46?h}lWK37^D3Y5s6b49kP&KUm>+p<+LHdFyggmH4&=lRH_JM{L7VFuLzH z6xJh{U*f9N8htnAqKt1>jSkmBlGpLhQ_o1O6>&_G3Xh@aI#BOjq|G^A;k95J1}!1` zj=~SUAiW&f+fIr`+ggu{YgjX-@pk*WyZ=2o-09KVsDx&*YPSo`KZfYm3dW~FDzWKWyoZ%GDO=SD=Az6H0*hxD+-jd}xYgc6C z)+4ENjuSFhGgK83OXy#pfjpw^ZdO!Fp z4d;7dA^Vb*bru!|FiX0WNI0&J;a&}AEK`%y&f-GX3+bc5!){Oot9gifU8(YVO=*{? zg%Bc5UnsphvdADrq9kU39wxQmP;Plke9g0l0magl`;hjVm>|(%KvbMA4PD1T*CV7%fQ8uLKQeD8VU@YbX?g&f)@k( z;2WgB(g;H+RqRr>9MM3P#tUP85D?^Xd^c_gkeHHqy}ZVg&X)w>9zNpqLRX!un>2kC zi{PgfsI2>LWU;gIJE~Rtel_E*qi~QBWZOiRZjM#v4L)un3O5OCsaxQUw3799cJ-np z;zY4UV`hjsEr?VG*#}{1%0a0Iw9LMKzw8I^PZQ$_pWE1Br2hOG{8C3o%dJ)*l%T8A&aK zxPr|1DsaH;-1D#R6N8chGLnnx$meM9WYLKPh}I7bjN<&=9+#;=1g+`=0;m|~1i!B; zovl)@&4%n))ZzX*_-ertH2hwv-0eCM8`uDnl?TN>EIneuL8Lr1ffpp>p(%O}0JS8- zpvA08nvPPmeu1UDRNhROcyHOmcfQR+uDuC@wy3VftPpdHQSP;)c(!W@lh}sB$H=l2FFdqeCyI|XiQm*% zutBmH(eeaJ<-r>V_X&DVx!Aw>zR%7p+pkjw}#`OFvKBX-iH zmu?ja%rnq~*WeG(x1q;1q1UfpKL#uBM13?i0T{IN+z7sfmEv3;kMgG{gYhP}MYQ-b z-X+Icef0ieXcyp2o}Q${CiT(Udqhp~@}W7JMG5+DZ~aKbf7I{j$|lz%>?M$}@&9N# z3$QA)?(H8!IUooUl1ewyAW}-VbeBkjbeB>d2>}5GIT8YbbccX+i?ozTOCv3!hoXK&Y1&Q6jN7MLqx6(gMNi%1H7y8)1;Kdz>R$S#UG{-lnr$O3aAZ69FE| z=%3y)Pn$q{((u`vF;%XYaNtO;vpA}($xwz~h@22eUAC^)S7pVX>$HxI7rrWPVj1cR zTm5jO=~ud>Z_NvU<((b7JqcRL*WfnviM~Y5hx8&~r|Wf@uL|(@4={`gR>KQtko_r^ z+;AoKE4Iq0ZSfZm{QdR^BtCs628H9SWQcpMzl(0Okl7zPnrUEv#B7mM;Rq|LL4N2C z2&B!vS4w1uClx){f=_(NJoQck0F%eu#P1O});n3^!uV_x(=Dqgln7y-J5K zQu_KyHhSHpadl#S-%Z3#;Pn;vQk7L-dy6I-ioS4~Uwl*Yq)Z^V);>cH91wPTj|`@2 zDpl0*s$rOu#$2yn)Coj9Rc3pbJEk;VGb2Rt&TiQMnKH{^U41hV0&VI5L0FE$nUk;Y z1d@>_4;(yXnH;~7#(LGD@Fg0Jm{kl^5zgG8rP}!vL|XWQ_!16+Wben1$z>6`-fs7I zHV&vV?wAff9{I8e}(!BB1GJ$li*bwTPrnfQoR3KS4?|i;ik0rDeC9# z67!~>ys0FfG>UvOPYjmv$37u+pjC_3oDr$m6v&h&GI&@ zw6wG#gr3B&pvlCcB!rI~T<|%CMfr{=c@`FF>Q~Y7FCTD3eN+W}Ug05&itj3s8m%!V z$u~WSL?y{=j2|7X$b@#SApDW}AJoJwk+sPH;&TR4h(6R%W({cbkS7)g=Sv)D* zdMZw5MN3P|=;)}8XZ*ZojmKl6-12hbPX5_C$YBCK^5Y^i-dw%nfoR@AvJp@)VYd~z za;~FKTZKZ7fnuk`N087B}%$~bOkJ(kYVtkmcGZ)l=D26Zh06AS^lt*f2!O-rJZfAtD1u-&J3Y^roP5Jrb z?{$q#Ku++@y^|<6H<$0@eh1Ke_HMgP2@~~G6|alTXLC6HK3s*bfolpT7HUVjfbxJ_ z09?vVY6)C^4?>m*AUGPqybpj0`y+1dSD%iC?-C<0Sz_|i^j3W3mR7*{&MW^$gjJN#5LRlryhhS-# zWkQWmzxQ?K#wgoWWwDtGt4=U$_b4i9|!}aMzoRP5AM9n+@~96wB%d(ZNtb@2E9GV0*kG!X4>Hr)({}Xd0;QZ ztIBqu`2AE*umPv8p`JPGjtrLaqGu{T0o*$}Dj#{gYRr!^&lO0GC`X$K0o^pfnQ=k+ zxE0eirc{Ri1pxGoA$16o)p&R*h@QCOJ4>>8lkfR=_PanEP)fKt_c5Tl`aGIF6Uskw z1rfLO0=y=Q3}625$@J=j=9B}Sv*EzJK2!HYr|_LKjo{&!i2k^+_o4Uox|q03RG<*S zWk^7jtWqo-;Dkw%<*bw4D8#BkV|S&&X~r{$<{KL+KBx?GSOCeI%GKk5Ub}P?0Sd5h z{!g-g%e0=5Pz;S+XR zT>P1mxQjXdfe~%?(f`$h&N0UBgSWs*hf!&%pWjdOy#L_f!UZ2BP9WZ zYU+Gh+*ggU`zpojmq-xsE;W)_8|5JtR`KJQC6K*G5$l2H!{C__ElSH#m85S~9BqvM zrv<39Uhj+L%g<-STKwFX<}F@ry?(WBJGdA-tZhrg8PqHycLY36J{ucrp8)D>SH_10 z&~VtH2ct&=Ddh}N2E*KvRQ9quHTr_3I)x^MBsWM8BUi*|oC@JOGxE2{q*$c4ul8C} zj%uSF+719F-@Xk`sljBygczD{3fkm8g;5W;XgrU{5(}pY&)@+(5GNXpw`ga8sJnIH zckYA(zRsVQC_Lo&WZWhBR=x6c`h^FtPp^Xr>|r*d4y42x-7gg0-%jka8H*_?DC+T; zd!oB}qQvC^G{fxVz zxCmL6etz{i+gK}VP|aI19BdM%EK9EafD(xizA7&sk*kVD2YCfCW1Kr=h?T3}8 z`<=wM-C6;1T!S>TXn-;(Ow=qVXn$nAmUO`{mw)?9~ChXDEW- z!B1MZjnU@OW!vDJey}0ld*#-A6PbO^c99_q8Cu6Cnnk74p_A`B8vn8!0!Xq?ZDbb_ zh`Jxpddt~JDhngZcNF|gM?ukIvAnXfa?Q>!2XQY?N5I=$u95@liy}uVp_r(nr)qS~ zAphjhlm6@_IRN)n0iNxrURA{(-h-=Y_((?@50S)DdrvT0m~_$0_%>^D%RHR#(M)$m zUYXUq#=)EiD>Yd_bi!u1skK@tQ^`g@2hnL$rZ;HWbCz_EIs{q1`P$cf<%c)nE4Ad`uz3(edK}dplvGK!{0A8^3 z{~kkANJHJb-X>i6_yqsqX?HSv%x_6BvK)3CA0MZbn)bVXE(Oyg=U)x;j)t7HA6m$C zF*4mL#;?m6!x~;4s_ZIk*;=(`T&5{XHmGf^-faWI38#rG3WVeej4RN^uvY`)Ddxd= zV22@~AG1G3QEE_}hRWV<%w`sbuZ!junB-qOd+rVV%B?{T2<@QTQr%?Ju!?DEv(2MJ`9OQzZzy@Bb)6aY^KK0zI z9>qm83jupEMF(^e5<^}8y{E*l(e-Ly^Eguc@;ql7t}~4wcyXl(tPNE8US3jw7CL@OV3DGe03ix#bOmyvQfAj=b=PiQmghW7o z)m9{Wtk{4rT9AXVGljT3O3|7++|ibSp^X#-%&O{ zo;Oa7Ad$}&*;OAhjPPPaRafhgDcu?0m0Q|r0=IpgdJet`2aX@SHW53S;w zd?1bIj20C2)jE{|OEuT^cNUZ!7GmWF+^@XF#}`_^yYkP5v-G3$vF^EbbTg2dPib@_ z5WlWwQok*~tf0*+a?f8^1lk(~w(?WjJ1Y|6Y2{LbM)oFgEILsC09-zUGe_7k-sTJISF+CvAO+xMxhQ2}a zr2lGxNhzG|Oq>c+MCL+-ox+3E=Nue?SOU!UFp+L#%&nGg}37!;8uZhb!fEPfLNJ)$MBF#j<|@vz&)g#5TS+;fV*47msf=NFmf|d z)bdZqz>uMe z-8TI+7Fy9M=m`6g_x8VT1u5}aP|@E|7_VY~{JU7c*s$F6iJWs|X^7;2^InioABGN7a;ZwQVMV5Ck*h)=K1e~6a%M%=yg>RXHT8?_+gs^GsZc%u<` zH$M)~h>7TH#;bgov4!{fXoLgL+Pnpwp1wl#>iw+*wf`C1e`;~eIpE4~qKkOndEjbD zfb7Zvo#Xg&WVe_Z-hiR49joJ_l4UOu_Zl9pjyWo%^r6OMsiJ?L5aXuWM9R%n>5#1u z%0VwV*x$D4*|=zUyVgZjdvv9CO4#TX%E=PbsoiU}G~o;er559}Q%}~qb-QJ;5JMSK z5_j%YZsxxM!BOhlmm3kM-DIuWHqq}k{N3m~d0RsE|9)9f=bF&zXEEI+6s1jiH)7Z> zEY1c^nvEh}GL73ts4@d7M#v@yxp9)?Mh|`KiiLeHbjtk6EIAJjkQn_)uLWA=0p@1P z^c$Bom#Wc~#x74#sKp;7Dq0-!%vgDhISjgJXCw7T&2TG~9L~ZV*sLl}VKyB{bVbAi zcAmRGpi263U5l9Im$4rD6)E0v@l}*;VpQxasWkQLTiIfz1@vGUH4sKDnx&{eIM5@r z(Tj>)vI~1>ld`BfhD4BrArv5SdffY54}b`(OVjN1SwkJE>cPQlZ%s2*Z>?+f!R$%b#wAoX)`JH#ZnF8P}Em2vzylK zDQmtTiia6+e!fcLE>X9cWnc4zgxi4Q!Gf2roLjTa7@hs{rG8vzmbN$f9^I5d z5bY9uF+Bf9Ny+n---TvreNmw0J6D(7(H$X+o-1_%^PytykCfZ+$gE}CT3?VL7wrv;>PhR z1ljY?NzumBOVA{Bt@Ot4il3#wE$5)(i1}nAp|e@{FIP!P33VX3mkNARNN<_--C-!s z_<4Dt>VvGVF7`(8YmttmSNs^iL5tn7)!_juRWAa+EfXDZHHc_*>%?RamoD0Ozsf6v#?2Y(a^Cn!KW>;G$a`j}{qoF9e?yfj zA7(W@Xj)%>ly#YHE|Z%6#wB<5-rgY5~5 zVA7mxAu8QNz597tHvETJiftNdsXA=wQF`ct0NNTU1_^ zgA^B65f}U2K_6FI&vxty=U&Jraj1fhHc39E9V8AT$omt}BdRNN6tl9>rTCTrTCx_L zOqM)7n^5Y#ab>aN_1klL7dp~vi^3YuIvCwE9+tjs8U4cArYUk?u>T9GNRMJ~l+Bm} z{7^iz=i(A45u19Rss5WajXVY(Mc3H}!nAU9@ZU*O@aF`YI7Y6D!3NMK!7X{Nd>YCU zPl6o8fhC7q;Zn>mr2Bc;Uw=%v^WCgaVIAR2cZG|yjr%=7f^W=zq{f>j<%rqZ{UPPK ze@~edezmHzzgH$3k^o4;_hDoC+xIR=$J@s}@PBf#xEQVR=C<2RW39gG4nB9JQo)NX znec+5n2R*c2{E$SNs&@&MXt!AIKEpfX%%$#MyM6BTVJTF8Pt=zTQABrL&hXpjxs^O zG-t?}x~?Y>%XE@`{UD4*C7c7;Q$udN|9x^)s6<)D&F?htcX8BOFqy6C8LS@}o4xbZV_XgUn zsOvRQvyf%`5;>9Fw;hPEzVngYhDK3s0hjvgwjjO*&`eVSPUlo{kK%|Y6AjU6*R|Xw z2zV8`Zcd6Nq=MWAS&Z!DKf+nZQsYFQr0#`iRvPVWY_t(ywymU!mjBc(i6D<-@P(jBh~-;in!Is4T@h`{@`*K~Zy-S_<_!U4Uzv-QcQnz>Uh0taU` zhL9p)Z=f85ljt4FFrS-y_b`x1Zd@1wE#Ep9Z8u6^nC7y@3PJ3t5)$3dy;D2n^AU2 zyF^?(ipjTy&G;>>wTec5La)7xmhm&;)Pa!S+!t>-R2T9!mID5$=He?c_-XVvlRP7y{whMmj5>~~`UBB3sjUP%EuQOY zwm@;vZf#OW+?)EDFc&z`RQAN)($bPG+0og#>2x`^IhsD~o`ZIjjjWMhK}=HC5U1zU z^HwX?mvj8Du3DwBOXbGOLaSg9=hGBQp(6fJI2Rw@?$HHe&dN zho7)I+s|6bermC;t#9N(15+w@Rngyn`|Wb@Uv17*gngWvf6xY<7^BC}^{)Jo<_2ugQ-z5H!}}3)8hB$AN#}h)EJLyz5}3Iw~@8 z#r94Ez3pUQ%lulbRa#Msj!@r;4aM@Y0_FsM`&be$^ulNA;?Dk7aiTj1$i?~6{3SZN z!!_~uqis5#;hw7JpHDQG_dHA-9Ti|o6OJDp)uyu<(=z1M*N1l;XVyPXwY;ra#+@c0 z0O@^N{g>P8+PWg-_hjjby_3n83&4g&JIONC2+IpHmQb2amA;IDb70CR+m4}=`K9Y{ zPqIo36YU4~rN*JQN@nB%Vq|n;j!W_HziKOM%R-<$wugo3iQhPydtQ*XBnH-~Qgf-f z-h>-(=;(VpqIm|M5#Rh;W9zlo6ZcLt;72<%?khorL(FnD4B(84{_AzMBpTqTHQ&_c zptyo$)K6qCGU3u?+qTNmz%(_gxqtg-jTYdBPn&VtOQx*4VPuU&HHYK*@t zUPp9P(oDd`Hg| zU3YQ#fW}y~JPkr;wuW!|~-q$<<pg!oQ2&E|7LU5zV&@DK3HpI zv;X++--Sykxk9^8C1&H6hx~AE?)~2Y=C`6-h6F{KaTMS|LaVDc9Q-08 zwIOG9mor%DuBtHNBNUZ-X}t-s5zphFVKHx~N91(A$*pu29ARR@-RjGryg$6vq@I%sDJB3k_Z?`7POG5xLBr{ue{S zS8qrJdav}fv<$wHAKi<`m1Ta*LGWvz8nr7Xs&VGDv7XmbTtpgoyNJMZb6>fw^L_s1 zio7a9s(f@<<>f~8eT{`W?5HP}=FK)995EfDmRH0(jZ*YqX%^|I{>-)7$hTTt|Lmw) z_})STi-1JdNJR!2ofAbO8_vMM62&ANrA`4K;8$xIm^b^kh;I}+AN46t9&BuHl*NEn`EC|h|skf*~~&P5TiA z@{~;;05s^%NrrtQ{glr1bbW&kSAUGSw0M%Mvs!)ar4R)T0@;ofmsx=Mqww&QP^f)_ zxyoE6C{@0W&dki#3uN3+4yiYIrc_|Y#U%4ZPoLm7*Zpdq*x8RY49^AE{yRxV#FOw9 zw5Q(;2*uk505PKbVgE2L&;&P8 zY;E?{Y5%OxD~)VyY#ss9ok)Bj&@MQbPHEAGX7kgf>X|)(Cxld=R%5Is5F|uQXE&VW zuyjqM5!xEaND(Zk+?)yYwLj&_Ht2mfx{4s_2xFBkDwWDqzor>IuJd{L<&|;Zs~%6@ zXj+pfBD)@GHPdoy_Uex(6o{)grs?C%X_S@Ri`zWR7S;x(nww$Obw)(^82Nu1)^^h0p2!tANMkxrM z+H{U_R@L4+OkBDK=S2AEsM8A-w%L3A;K4{g&s6^-pLxL0*V=v$cR#VT5hi;L^a z`EDj8(_0U;d(z2`YsCp2(6S&s^E#N{ajJ5>o&TF$hKHYD7O}mB=2Fcbzj*rA>dug; z52k_avgrq)@Ayk8w!cr}YF=1WiDk}E@_fl$h7mX#RYr>v;4au`blrfzZQO0-RTykG*7^V&&wt-*s=Vr{!&V!KDXO`MK5Hv!lkmsfy2(;IlkXd}9sq za#y>TE9c{AC7K#5!UVJR7ZVphzz2|GTUAni;fvHSUei}_CFqwY$@fZzqgLNUR&YrS zKEf#(AT#dhZ=pD+`BcU$9pOQKqH%upzt76vpd5|a z9HI_!bP9$ufKMCuyGZ`N^LLJff^D*D5hrkqVO zID*jPO8I*yxBgegn@=vYEwwWC*^c7l^A?3KdwSW`$Ct&bOl#2}%3`Y*lKXLoZ@WL1 zUbSsKo3Pd4068oJ+XXs*De#)GrXbdT>yoem|C$N$ln;e**-L^~s?@h%F1p-6Tjf;x zOQsP#jaXoFzU6Jceb-Z&oCM+R?Q1J89?_DM5}CgVi}Xj(Z&olP9K&rrfjyk~tt&o9 zOpK!SsCgw^b?-lqiz76&zW<4$!H8owyx-5C;%0x%KfHT!bQeS7GuWI3E&KLU zR`Aq8o27wCse{qjAV;9}7TD}#(%eFtg^2{?!a#oGD zZ=)bkTJF~q&SaP^9Jr_do$Oqx(jv*pd7H8M8uz^W;*3k+)MQ+3r|IG2CI%0 zCXJa*)w;~`6OwJSn}ncZtTq~_-eJE#`nR>Y!<2*{c2A5s1wt}H8T`#l+g~~Wp`%vl zTFd`w0d%Ysr(ou^Hj7m%-on~uFPKJo@>lwLEFlpwS-*`BH8nN&^#KG#<7)db;h@FpG zBv-&!k{%-jex7?I#X-5M_mUt$_7;U5;;j~kT{TgvdRsZ}>B)&xkD`cAL`C59Nz#Wj zUu~D4oCGzP^|Tm`D)VcXi1p##pR)~TEW!^P@g(Vw9C`Plthi7$Pp{~u+6Vb5UDX#1 z@+;8}JiJj?$_wz-Z0y8ui%POYVgZMyzUd90?K4sX%AC|w(Bctx@>pmB zcFBMH@f$jFY*gtE%I6KkpJ zlj^DX0~J*{D3;MWnlW4185;Y;weK7+y{rSC1ntaA)SfHm}XB66%?V#+$S>uxQ3fjEXPCYc4z`ehA2L!L$=p zrYrO;=}#wZb$Imrl5?b+u%@)gsSysSC8z2Q1qRG=l7;0&LiJNM+G@iy4*>N=IS=07 zNU`$pvIlpMzz!}B*wC46s8pMhM4 zU&QBhvE4<&mt?}`sTTPw)%UuaHI8U-`>fZJVtQcbEk zpk^Aa*+46(rs z0j9dlO4>BCl)_v0n|FvhK2ew2cG}Q1ocNjhaoxUzIFSE#d-i)UBQYXdi-Uyw(Ugxz zO8>G9o7Zchub-)7k+`zS_gKheAJ9p7Gu)QW@1uyxahHM?Otw4A_)N3yy0NKWX2y># z{HM%el*n>cVf{Ov?pfBd2&9jg>A6$Cxqw{SQq#hq{Kw#?mf`r8^ z7$oOgTBgiA`*Z)xw^|EYtQdy6BU1R-iPw#*zNd0udH6Gr6zuR??VaN!AZpA#09=w&Ubw z?k})Y2lREwTi5Trc4xsx`5k!XstkK4DJ z^PM@``bTQ@_FCgj&GmF;+iPq+XTu`Gdl)HTAe6G6nygyk}>euW- zCKc7lmj?!Q+eCczofq_CMYl|9)*OUnCuH@iJ+!|=w-q@4m$ikOVm|k@mS+l3j;cZA zgq2H$=YJJs+ew93f7_FsQI7k~yw^iwgjDi$#b#*V@QEPd8MAkN{`_2(?MHE#%dEBa z3Swk(9(8U=E6Baf;J*lUT~s5;7U`Zw_r!n3-vrJ+GF}VJltE;eNknbO+$Bj>kU?a zULHQmFgJ%k^BwPNYG`P#9tsJiI4+C0WP{-+3lZwTlhSV|2noqI*;h0p7RBPrsCByA z4Y@)3P;twsnx*ZEY@yLTrF#3CO-boo$$q<;@Qf8CqV}#pXZF>>0 zN*KQQDo0d>#eF%60yd4k;d^3x^+^*vHg;NC`=mje%kjirm>wWTY9MlKwjI{rpKfb1 z^1zU{;H+Euj4h3vz(}l1+UH*`2Z4oMW}-kUUcU$<37WdfUJ3d9YWdk26~}|sTR{-Ljmi_!H1|053{;l=GoDuM%M;2 zbQ(G{^HYGw!D{8x%1SEL3=zK$t+sRlk?o_itSn_@uuUy^isV>j@QV`_HJ&WIgdxE9( zxuxdab2u`aCJVaLLf3-QqeF{4*ajB|pGFo*ep_R$FP7|slS%m&}DB}1gRxWuru-!EIk=EuJ-QTn<~ zGd%4;gsvva9S0MG^(IDRKq;t+ktRitmLd zDl6t{4$g`ivhK$O<^~2d)UF;dpE?m0*G5k6fYbB{$@Nm;nrXN*K`=fdh)o zz?$Ewoi}Z&n&yF7>A!F`KQ%GIitKKf=7Yo8_DoH;vG zyX6u(zO^s8klF7#TRDF8&ea@~t7hRfD6;7dWPMPX2LO9`AAD4la3n;!ZZuYh!|~cgg@qNm-RM6#{kbC3W^8$dRQHFV z@mi}i?6mfrqOBkG3qX+Yl_9B`*&(|9t>VeWKcT>{?_v5)uES#J#HK5z{Eu zP|MKz(Z6(oH1)*@GiI1oF}xXEK8;&iT0&*^(PO9Q5Ko1xi;L6nrY+(uG^!u|#+Ht{ zTr;;M7GG4LMN43CbyI|~<~n3*eOiSnaofQ^oHL8Lqo##_TdA$nN3-_7B!B&F$AN~e zlAYb5KU;K`rnVjgeQw1!5GtqkH?Cn~129DF2fZrL-uQb8VD^jgtbfOlZnOZmB^`?; z2>oqYLeWA7MzbO2XJGi;fF}J3Y>WrFWp64-UU@nO+eBq^M*1V}DNm0~r7Hi?Tb2=H zh8M?=Sr%l+Vw;Dtww2S??*-{5m)@belODFiYm=fFG7`kjTyJ6{{`mKB023S_G%R@p z8gQi)k~^+cJs1%6AA_0y31TyY0L+VFGIgySteR6KXu(++UQp=7vEz(SB^%D9d4zOC z$K064#${x@D-}mFCamw^>Je{cWOh2frNcWovN%03z6DzfnF5^o`quLwnH>TG0tfJ2 zEMk~G|DR^D#JKt6+&q*MoZY{r`Qd;aUH8CJUv$rF96IOdr)NqMHTQ%N3&h+|s2{x^# z;EfFXjG#<%g8mp24)R~khllOwXDS(NRsq2nmiTn9wB789<@tmq2B~{~ehw%W!%H&$ zkTKxaxS5~#vE!NaakkRUfXI~(L3_;r@MyNSwkDQ3)?!MWZiSqQg^Pc-mai%8bIx`L zSMzQ=YAg<}+7=6UcJo|S(Ec#`ZZ)pqwXJU&NpmC#56bEz#-Vl4P1)4g*aC4_anGM) z*dSoqdIK@M&GA)8?yMYLa@MGaOley?yYnA?&ft-^Zj22KNnLc@nyvHm{nbULLMKk- zlfePG@xhP&`d=JCrtyt$^?P|zL7C?hPcHtXS+?x|^};)84t%)i@9L>jrbpLnyh$8& z&q$DH0@Eq!@>D=Ak}fijBDD|*OeKO~c%_PcFVAd}W=3q_i0;IXhWe)CrU&yr=bw>% zBqFkN3B^TS=b}0M8F7zm)%qkTdn9Qe zA=Se7Bw*cbrY^U-i9Jm`jEe{gh~d2~|@OP}ok4t_t*Ex0pb z&*p};>7<_P!$42jk_P+yF&C+3+GZb~?EXaAZ1eSfZiGY;%zeoYhZv`xPe+~!uEWcCy2ZP!+UBC{7 zHT2!ZEr|B1S&y&2AU;+7Kex8!jCLb7EEjCFlDyw zm$KRW^cM&82=}AG+hD_ToooDwqILC$_=?t}j6ELSG&;bffn5Y#lwf1<7XX3w8YbUj zr?U6&N8>U%p7Hcdbb8t+{HWf*XmWy|CoXK2thewq#-(V_9!7sZ$bEL;ve`{}a_qXZ z{bQSXrYMs25Dp%1n9m{Bp3hEMJ~{vY#xjh-^5Ez6-ShFgSZxrWzI&^Oe+uHw?WK>X z_4Of`>5zpCv3SkXY)V*Tpvq{nH5yMrTT-@c+sWxcL&;Cdh$6~yf+YOjnS58Y-3VnB z6V=~=wZ{0B#rWiL=r+g-?SrL>7V!@0uyk4+cz$WdTThDW->kgV9` zsiA(~pn73;j7Tc+*>q>piZ*ck2enSdRHM9gWwl?{ zUH8A!-n@7S_V`~3aq*898o1L`6Q3A#I0gWe4eVV11xBAStwvV51O3Tvb{{&WshT!2d4HJ^{fR2|0pXdovi9~Q zPHvfJ!Z;BNEf}Xc z#lc5Fp7c)ZJmLerf-Wq6VGR*)^C{sSd6QOEK0}+(km+7(YRxL!J>L^kLWi5OcKZ95NZ4hoXBa9@K&ssM6+ceRW@Mz#Gff3 z=YmS~>9@17*aP{8049DH5LF@Oul!4KFK|BsYFQ^(lF5(&*9@Z~2~%T3;^)a?v9~>Y6SURuk$x3{$hRuN>hG$1B$i>$3Wc*q2h_~_ zXy1P?;7W4#=g(EhzXOtkf<-p|`;99nxkf3r8{kN2%%>LLRnsOkf0jITR3%A!O+ZOi zCVa6WD6xz@{Fz%I{)0|&8C>_5i!8~?JSO4{O3c}^(t8Ou9dKK}SxsnN1?z$(den%# z?FJnk;YV}-0O5Y}8;mcNg(pt}9(s}@WV1(#O!YEifVDmNnAkP%`JPrVvwkp41Fyfc zpeYQ|qfihavgQQA_db%5B`PVBT@Q(m%>G#t&(l}rQvGifa@w7m^>j0wO9cf4u-ap=n z;YH=1&CQ{qp-UIyH;1tplKcMx+OQQMGM4^JmuBmR@2sa6Lut47Z+DN0yLkQ~70T8K zF(TaBsV(Jft)IBkANqqSK(Cp~{0MGCx**@aE3ARTP;;96CZ&;=%=y5cv^jD_(tmtU zmuM3>RwlHVcbu^(&(r%c%snj@sC;mDZHu3r3VMe;R{O-H^XXd|d6+WiHuCOI(&rq} zjZDtyHL?2)t#%gsKG{acKi)y+;=^F|L<$A%Eh23WwjeLc! zw|Va+e$2>>ORTWSg!fhUiN6!emRK3@?NpHy^eM3#w+inv6N zDVKWS9)S8WObO}Cy4_{${Pe}AV;`W5h3S6#cqcwqF*grN5njGSxMgA?pl(=>;eHG? z;|ku{e}6oI9Ep%c9D2<0MeDw_ePx^24bYlhO1t$u<63WRioY!Wr|Yo%pf)c4__B zx;XkLV0+FAIhnx(f?;5R-ISIeleoWMtGdx!_h_77%<_4ifbihrxQJYMl%Z^avq^=a zrwOQr$n}%D#$$*EpHDs6JXhsIVz$sF%r9=@?nOep>Fgf^gM3QFbV?q07_(UNHqds% zM~fCls#p(z8FHs2e=&W`$&T~j)I{#I95c?0YGjJIQj`PV7bqVl6koESY~P;D|9Yk; zKC!R>li29!{+5=wI0OCEhZL4EI4zr`WR1*>2_N2rLe&aL{h00xY!b96pHR{KvNR|rA3Ox_Sy~!v;PEw@G zEJ^xTozy(&Mb@17r7KCXdkuX5^dC+C8IdDaU`oVT92>Xc2-_0(-I)gd=3S`F7yka4 zYJChQ;t)*a%6E!ohuv*TZ@*b~hU=Q%-aZP}aV|xy!uU(d zHtRF%MVuRzOOIa;Tf z3#C!;}K6!CnqNXcXZ|(g?QBSPa9IcOd-CYrVak>qla^OGx+FQ;2`t9_+$zJ zM4RUt^btgT0b6iU7iAl#Ts&*lp)6tSOFI6s(A^A;pb7@^-?Ae_vm@eq;)FL-Cq%IB zcE)|k5MyHrk1_~mXOSE8!fz@Y8Wh)(DYxkTpJp62B^5`KXacOk+6}Wc=edb!AyP z`81TC`QiQW{nLZ|xi(|;l#4u?+O~+WeMD?9cU)eEsXL{gVmX;eR_mYoti|=3WFse& zTQ8y&tf&E~t1wQ2U2@+%#)_IEQDck0d@_oX)pA{#Q7$yGNzlWSKyf!-yCfdxKzjx+zBr_G zWUR?q z2y8_&%wK;hcd9F*zcrydfaB7-A5U8ZkeM;$*sqtRKnTrQmLg6ISaPMxS*MF+9TN@4 z1psX6r%X!6555et--#v8ks^x=|8o{9hruuw>msxTH8eD)P_y5vd6l$)V5NhSx*${( zI$GmA6;PBGsQj%wvtQ%JBN?U>7j(WM{}S1QJ6W($|Bx0MYeACy3~b=yg@Kw`(*A>Y zXBJsnZS{#fcc=qM5B@jnBvC4cWW{w3WTMAh|H?5Si*lm{C@6p@V{jY1d7F44tP^c* zf^r7#!oxsvV?DUn{{<*$#huF&s<^9 zgr#Q?Lvs) z1s5_iwAUCCCs2lN`@poX3nM!BPi`1Ye25pr zfO<{E9A^ciu96@X!KxL&|2sEE$RYVN9i7~UVVCah9ADY^yS>~tc7FW^6t$;s6Mz_| zk(Q0pxbD$uWx>u=Jb+69kD5ap@{2Vhw^!|H%@?a_=6;(U(G-o1jYk%3kN?`FnW1_t z=Igwie0)y!_V(r){nvku$h)XooV{W)%)(RJ$Gsn4;FRIUH2(=}yt+ZmQwZd1lO$*{ zO*q!~3!%d{Ac6^2Of*q-rH$a;Pq4p0Og{#~Uu9S7a_3XSx_X7&Ti@01nXORuPzL$} zw1Yd)v?92(sGr^RvR&xQ^{eVHKQPqe)ZZxKyNNj!((ee&BY~bQL;oUDCrLfn7z?fb zVQuafB!(diroFAyvPpb3GLbrWveopCBmOCrymv+SYX@au1QZHg%Db16F+(>cW$W0y zRcZK~aphFt>6qBA8dt&LIvW)aX|i?^klK5dKB4;R{%p#k2w-yH*L>R!yi z1xS{tQ~PSM6=t_=@`UaR&=dvDtqWlH_-((7zHte7qn}*v1~WshfWzC%eS=qEHP3@^S8y4}Xu{}oTKe3m- z6MJ`T6UM8NsvKSjdO3(Pf$@o=o|NeQ{mo*Ars4+$>;OoT&rxk7viZ`4;|`|{!FG5F zXaN9Di-*S_;JteNJ*{a)_6lS}Yan|JA0yfn)0p?3alsTBawoOJjjIA~#Uxq*VA2S1 z7S|LIj7(0&9$TXng~pNW5H=nH0ba_6^c)%&pNaLN=ts5f(-6D+#4X~3sY4>gPq>Qi z^I^KABNq)oc?F|5f-y7zrr^hihYPnEyU#$(zXdTc^U?#`hb=f8I!fQlrfC6mF^C19 zh!f2Uy+z2saR7l5a6(@b@@J@$c)o4MfN^9Hmpn4Adi##LXwQ--q8p%-lH~k2&F22+ zKEn9rkMFR(h-V%y+}B&-0wd_}-~Y3~6G1nqE54bTeUa|*a1QA#nv5mEQ()Qk%g-2S zb!VuM$NrQ?S4U%QYn*Ddn}K7;7PIg~Bw+aHcMp)ez;%}ycK_+uL{{MoATdF;KsP2g z;7>0m0SBEwkY3jNVb0!vyzzjP*Uruk^Z8`=R_+DZ%Y*J&1cKidh92y8B(Q{I>}L~# z4ht{~54ui1V8Ok;ymscBuR-s^4+w=jWL&LDHq&*~j4NV5YcXsFeT7Mg9;~GsA?t?D zEuBKnGH_K6oyu3Cgvjt!)`+&i%$mbPS5W+=GgQ=i@gNY~pl?o)pWf>YLr&prbK*JS zg^$>Q$DF-B_z*=(_vR5S8xQQq!|C4h8cIWlt8|GUf_X0Q7 zL06@lV{lw~Lw7_J7nLw?V(fj2-Rq9-g+6T(!$x zv@a|ym;gItVA8vBaWKrxz;Mw<)3gV?UjZx@HbJAIodU@^_@cg~HJa?<#k$_+ZjXsx0=;hmi>G>6; z7X&TtS#J8b%eSfVaUfB*3|Kbm1SQt+pH&&jA)>eI#*0YJy1n72MUL=P2Y6(8W|7gn zPLQ%JTL_JPl@}g^>-{pu7ab3sWI?O!s2}t)PZq*Rf4=Nh|^kIx$OGM1~W!iu$hvn(n%!Z4#L&hCLWf&0? z-Z#Q2pq2NVe?>~OhOpZmLrfFB8=cRcVF_tLIkWiT<#~}R?T@N3H~!r!0iCB5f_n`k znfYU4mnjtiHu13p@O(+RoK>1EE9*fd;!m^<9A&du#ylqCa`Dv3xX2+Zu@vhrA0J`+ z7d`O^8zbWLHw#ZEjc*eOrns!tYs+dBg36WqNs84C2+WB1iAZ#()stFm2(XjS);#z8 z{?bHRQW#`jluC(FRfjx=e<@|b1e@nCrXwu7F-#da1+H(;Ut^mos0$FnZIY))Yq3(Fv36zx;&0t27 zQIzd9VMJs4qSd8l7S&;3C<2X zD8m%n4Jr$202SE0IDG#p`@MQ$feP{6q+VU=Y*!~5EP=0g#iB6NE1<8mN&6Pn2-<)rAb9OIo;=*|pm_ZFF=!Wp_=j0@%#3Z^7|Yk4tFGvj z2M!Re9{dn{$31UD)kj5n|40%!ZOespd&Xh|sX!PzBoAyZ{^SkL@QEdG?&m>c3ryE9 zffzpRNpSOTuZsHBRFkcfQR>&wQ4@j&e@|ZYJ;FI-B=px`8~qu5Xo0bVzsE;>es!Z8 zkgfx(3JL?m^1saeOCqKnIL00`&X_rP{~I6f=wFUyt*tQO#AJB9F}HaS-%G{fb?%c197ILadJvxc&_! z3lPG*QffG98%uJ(>Yh_cC7U76?(=ym)mJB(ft<-3^&zd|$vwjM(upot3Jh5wYMhx^ zVha!3ZFh25D*0tyo%+N3!fG7Joko3>m&ks>l3@Rdu??QTNO)GMtz*$l0QuGjY8cjQ zZ+H*Vw7lop$uY^hNCa2;_B6^&PZnCmM(_}fv^4fqp$|3TJ1muLHO4% zm7MiP2D12dLzIm)J6;*V6c0OTYWQ|tU6Ey+q8`jl#|+&mf;U_xV-d)wmiLT5C#q{H z(fa1}J-3*K zC;#mmo$#I%{DgPq#oF9GuFXcXpKB==j8b(lJ-5_&(P+-4VDI(^6w%mMU)3bg07;lf zHX^2RAk%#i+rR(np#Rvr7C~bmw^VA#> z=BLaqw|cRM6vf@mYNjtNXHspJTuJ(~8rff&8|H{%^^;H2gttoGjI=3nO|05s;RhOk zKBZW{skib)AhgP zpqto_bb&jYa5>TXRXzhQo`qJeVj2}kA9aDc{@hbhs7y{&NB;gRwmY$jT>1*^3uH)O ziq6#mn-oDjjmQT{!;5MTbF(q5hPPvFBI7*y<9$iJ%h&ol1=TL+YbJ8NNPZo& zLZJIqZnY>1_yS+?K{tf(=BL=7FU-(gebF|H_{#`7Lp}Xs{Cg-HplqpB_I&8&QY?f7pA03AkJt2 zv;{!hkcm}B>7=>UhL}>xU4}&C9$d)Ti%R;geqF?AvqfF^gRAX?;HAB*#)I7Do!-Tp zMX0sRz%0u~KdGnotn~^2**f?b@N(VNP1mI2!)&N#5YpdtPu9L{SeY1t3icS~GVIPQ zy^}Lr?N(P8c7G-*w?D##Ofm^Y z3H#lvbZo$^A$1@I&xsbpF6D_|P6tZk82dLMZw>mykmqsX_iGcvZPTA|183F8iK^TT zMn6^3AKBx5e5Q&Yfy_3GU+ziqz-&eWkHV!oLGy3=FkrHUg}#hV(oK14<*t>a>WgbR zg-vCrphY>%UUQ#(!8aUgCP~x?R~Ok{o)2qGTGgsZ3s{+WYJ{q85UD$>9uC>wMEvbz zaF4JxOwB7vK<7NWOz05+@30IAH)tHF@1kl-2KfxND;us6b+InKPrtaFPs?5048Xte z$<(;l8kO|9m&$BRpdX)?3pgtiA2N3XUjQ|(;+Iv^31fb01^U8GDp&d{ecNTLD^$i%s&! zmZdb%6fI5&7(r%eLcrN<9})j0wj`eTg1^18YK9G$m4`A(!4g33cmPv)ik+)e&psnw z(K^wd@B8b^g4NkI<>f%Z&Hx3`GI|;t-Y=HP9Jh^Iu+<((gVz~QwZYz zBzennt=)y!y6nl{HEA#9sHBg*RFG$soS(CQPGO%aw=kh`n#sU&Y6oLoR}?lwiFjk_e?m9Eyx zlVVUD@fIePZ_iCw7P38_jb!OQ$a^6L44JJ*RmHe)6(|I4@CI)Vv(LC+qzRIe_jUdw z&EEjy&OzuVE~}YNroKoXH<))oz6?-{u4RBp3#1*{%UQZ^hCcdA!CxX3FMA%fE@VA( z+-s4syiCG(9BKZ{J&(I@Op`Veh^T;x=P}EJl8)yf$ZT$jZf*tZMI8dvvN4vMOt%1+ zLDN3T{rKo^iuIh}pbzM3(EKOT2hD#D177)^6>zD^poRwqz@74pI~*Gu0{Z`$JB0(P zxdKrEBHqt|uf+cAPh@`+e!`}9J*B<{&jSL&A4a$Hf`s6UH_(Cb5^h1=cgq&<_=EMzyIuH0JMTlYbN%@(vI+xg!+S9C=BeVCAX3`}mF{ zV!DbEKqsXEaz6!GgaEO}6_?jB?^*aX6La@LK8F&UmKqqgtG?$5C!NY+f3=58^+!~d zR9xf8NTl_42142D$~RQNgR^e#hdbA+6q^j?5gLzM{GZeK8DsJdQzJxuH~>LpOw+j@ zQS^g=H`T_nBKWB*Mihx*2FcJ3x85cxN$kS=^!p{yNi50+wk`hNR^pZsMY1UownnK% zH2M~ZJ|em~JZy!VpP7emEU?!E^?5sYxqhEhDb|O))}h9FU9|avgRnd~xA)vzJ0|~o zu`cjqUMDDWNSZh}3R{-?1`G>SPixaeM3Zkrm{=)If7kK%1G3%Vw2hSsYFX;~cw@O{ z&adQz1;Y%m!LUfGtY=akfN)-Vq-92=Lwc%%eTJh6^$#_6$Riz=54H7f4BeJmib)*u z?*US;&ph>!y~C?;?au-!uI;&7b>+NB1UIl3k16dz(u9Umy%(lE@ZPqMOyp2|&ry7A zOUW5sT09|ew;N32Sh_qI%tsv%OEYRT;mf`a{XYp?d1G6?@PE@Juz{C8yJv*=ZQgoH z08zCR6WdAYPu&k>Cv{BrZls!+qQPtQX7FJh#nD&uY30vvTCk<52#zR6)ht-o{e51x z6H(+4X(K~a#M|=YN?)UmRYM57&Cd=a@o>uZa9+NWZZBq#inHgwGC%b_DqEl>=`~w( zIQY_Jrl-eVmE1GAcBou4Sn~;PmO@@g+0e}Nh3BdV!zV+2tVjIRL@y952E3;q?q_yZ zmJfXSr6T94PJ;yPPW)1QSphjC(A3Yj|NwoqI0eIY8qr8kqf-62i`ONCJMV55Xt&D8D1 zGEqkLC5ZZC@q-obYbm|^;X$+6km;!4oAyNoC4dsSCCMn5(PnaE`2r{{U|2o~4on z76i$0yJ@@5-I+!W*K)SqZ&VKsc_fi3>%T^*9+EpN-f#D5@vU!hLr5QN9k>>}ncBs1 zec&Q?rGD62o(JsU;^Om4hGYQFYv&HP>XY2&FyaXXH1&7E`R=|+^=WQux z=}1{Agfa)&M;kqM2ur_+mY$iUt_BeQ2brl}yHY*)HY%jp6P+bOvNwT*+!qekl6mHf zxf<^3VZD4vOAM0|rTFZKSGF3EhZNV)!37KV)-{xV%7g8#=;l$KJgK49dU*-riOWnL zYS-7w^ugo4n5FyPq}b)#+)v(b-lO3hZGx!-Uo6VrHG}AI@6MAUIOY6FsApM6gJ<)b zd&hyp2VsdcXF&_TB^pkywPBXw2FY##%k-eVcHUh{fGywE7ZHF5QAMt3qvLFL3RrM6 zTp`$trj8up2R+rsahVuvL0HWqtsSy}JMH$=u1pDZ>q!3CpSF<>ue48*l_Td;Jza#X zu(eUtm;!rB$o(Rm{XzJ4c@Wdgt6w9FtHUw*s!>mL6{4j1nYE%3`@$ zlkgEF967msmTP!vUV-*v=+2`Y%6(v+ZAn+q|IP-;5t@xvdp0`(FyTG};`bx-<0bmZ zu3_fDi~M`>yhGvk#s%iqczdI~6#0%nP&Zmo0DErv|GHCwf@-y{cSXJ1{*`01F3ZqodGlpuwE@K#W8zf$T9cBTe z-)%ZzG&w~LyaTz=3kIz>_hoB05YSMT4J1plq4#R&mp&MbB^K#x};A`Qr0*oZSR+NIS_)wK7Zm2Uvi_(a*ZzC*c9Tb!%Vb`F$U;41xMc>!^N@OLd zY6`y@*9AD3<7>590U_uxifDklRE~;SeL4!&%Uw z;_rp7)R)t@&-F)Ijs%flZ5;Uld-x>lXSkz8j1b4_JHwaM_z}Ra^|JFbrhp_Y}St?5idNI6Nz1V-L?C6izi8nLhHSumih|b9s*HG6zl(?e_9Jxh~B1;{5>M& zEq~*X^8vX$FxU-^rD6cc%cFq!+w$)O7W131BlmYn4Q%qayWpCV*&_AXn!0`15ag6| z#h7c&O!>A)Nev%mQI7Q0dxs6+*O=0)`P|YnaW;1US05F&e53j85NAP}#YU66b5pxH z>++;6J$RznWq6^bG`d`>umuLrP!>Km+)#{7y+CkG;YXnLJVVWBPnD@X8xOt zXZH8^-hIx>_E2u#7(mFVwC*D9Ruaon-0K6W5pC`-@rbAcvo$j3ZLlpR)sEAiUX`fP5B1yRgH+zL@H5Ek!rkggXJ z=N9Kq>AUx;bv(d3Mp3m^tfy=demS@K($H5W)tV;srOf}Z01;R-Y-6Q>Ps2^3ZF^4{QfO^6e`1DqXGGIc7D>I=cAWWv;;Clrwp`_Tu{gQ- zYVNh00b8u7R<&lmhVD4>Z?P)+Gr1m7fZUKC7m~pOoK^tHh53I`w!m7~gLhOO3unpg zco*mbs=#rvb+@QPm3fJ$4p*eZmqJZ~cGVX!e;wYm8;{;A<|rvy9{by-Pf_44-Zn)a zja$&+m5YAMZG4tU2V#=ZgU?U^_;4xEXfL=`uQCnC zx0`g)qMQ41qIA0VrY?hc8CMz85RUrI>q=(3Nc?pq)M_G~;J>eSrwLoR1ezsP?yfa1 zA7oxL6TK%S(mu-XWZ7|Bo)iGG%8Y@mC_f@@rkw2Rw8_G#6w>nJ2j%cUkE7SSk>qF~ z`94oCCN#2C42@KWq)D#f%Y%36g#Fl^4D&TfD0m|sY>~Cmy~UeTX7wlL$X#TA#kW6* zl4Is?Yk%p@PxArArcNeL#)K8%06_B<)lKYC{KAKq*^`- zZ$lkCJL>lKAJFkq7vZCfw=?>}g3CX{@>V(u+YC+hPso3@b{^P-9M2jV8m`n@gv*UP z#s%K`#C6yAcbXCCVTr=I(K24rW*{WOP4q|VXtlUX80V4>c9N=uLsKran>1ZlL~&Qa}I^@M<1qH1ad zHFlwxqXA1(2Up-AU2o9(C+OeHCYLFof}u2(((h%~j|3(pOX-)yPCX)YIGB@8%u9j6 zmdmrTycJzEwUyURnU+wT%~VgNLdnF9XLL{$K^thHntAuY4^1&S52UrI=E7gu!XY89 z={uS<`M(EKdTouKcsF+48&XVNjqb&Ra0BlsLs;0052ip9RhPF@^jc;h$WBRDi!A8t z(IhX$?vfE#!3S~qcY2R(FpI&WimjT&AI%0a4Dg4=akU)$+y!s`c?6exxd<6tWWT|l zFrHG8Xsxyh?!~qP&3eW~%azE*$xFQplai15d7 za?Z<$E-fVJZQiNXj9D805E{TGv8GZeXz)wz<+j%#T~X)|{(_5n{&(3S3O^t%c|T5M zwM@sXJ_}41=SSVtqj1NPVeQC!uYCu*iKWAxDwabn=cYXAt8%{mC$*-l`b3y7rs^^E z77UKmQjNT9olBsEox2grpmIr@c1GP2s}O$ry(eFeECK zu9}I{2GRon+j--IdBp+4I%Q-pwdDj3@)EbXHVcy|Nkcwr7gsC3e4B78x%OvbDxDA8 zNrM!2|6fER#g2{yZUmmKx79;V0&|r!*cEUs<+-xPOeZwIDGYj9@p@ri;%OBpxRlCl zt>~|TVw{QpT%1@x_VX{~^Io&wne&PE8L66|EYrPSJF5dfZ9srXS~c8}=dmegnkzUar9E$bhg@(X0CsWfQA?tNQNf%$uM>1G?xc~R@x8zAFBa}YO$oQ+g zd&SX0a>ujN1pXzi=RenqB5EY9<%=22xeB__AeGEbpn=rlY@sPK9KktWn@;5ysK9N7O|?8H_-PaOG{s{1MY{iPos zPV-WzC8Z~Sz_TBqnm^+KN0uYUx$NHSFMS=J1#xU9II}|2*@ACjOo|H9$+j-OTLCF* z>3_}J=1gZ2_hzI!4d5Lg`@%QbqI^>Dbhv)$)>?vR!@c>x50j6QhK8&&*yUrLY^4$~ zDhE_SKjw)2u%k1Zk z!Gf%c=);{KQ&Up|dQ~`x(%|^%BOo6(jcG$^@n&7$;A#D~Y<`K2vXie5-)Im1LjWxnUytDG8fDJe={~JY?u^u{z2{$5LY+y#u5C&3PMp?n+}3C7 z7pc$isn_C54)}dotONgQRHk3cLjg(Wr8FMo!ftJATlzg)|80k+mXw6yf^Fv2N%rpK z!1<4DB1atv_a3nb9Z+grWzP}c`uYHK3l(+#`6Y^MQ=7KGI44gv1Z9uI2N8L;n;MwZ z3uW0@1fz@~MIQvre|nEp)?;|~<^i%aC_FH+w-);}h&Ma>_ai~v`pr9F+sq}fss=pL z33X;Q*-(EDV;YHeuUDNF!a_TUo5+*mHc*H1-zDrT*GB-5#xiOii2OZ%${<42sLKy_ z(#=dUPS!%J;+gG#_`lSK#XH6NPVPNHw?n+^foEZP)rSwXOV9cwK9=#_RB#IY1^eIK z$Qk~5)=zKzW&ajPsFL`r%5}2nLj_nb&ZkpB>@UUQ+hKM}?UnjF%l?3&p>dw@lumI1 zXE-5~qkqT6T?iMk1U>QpC48UGiH$t6A_%O1kcW{Ju2 z{c==X9_$6O<{w!hOTW+&ftB}w&?qIra2xjZ;BVtI_lpR?hB3l1(w~f62WN33a@0Wr z@?mUK@iWjrfZB$AP-Aw_oIyjSzzBfSkr?V4+5etDL4f9vb;GMkXmNUGt&>}je0#YtM!i-7}~ zoMe`8`yVLQEqoGcyQSLS>0djzEc*bvPT-!HJSLk7Esgcu->q!05_xI;1-Fr+TBLW) zgC9FzzvRzPw>+WFHJAQXaDOXxsnqH+VZ&bx1tn;_Q#*B+cuQ*lR~$_zkVgss-$yFo z9#Fq8Xk=l>+xzKVm*pAQ%O>DmONtarJ>xm#1P?p|^ecOZ&62FLK(!=|i`DU=k0Y%g z8E0HQSD(_Q7SL;gS7}_A?p7({5CiTKz{jSlczu2&Sb9IkbdX^Zp zJ4(6tX@99A4^sfuKfQtl-vcePQzH3xU!Bbre|eR%lx50qmN z{(my2kn1HYP?~4G%Bq4wT7;mG4X=8#ctOY`N+pTbK`^uVUH6O|^61l8bi)HWq%T8v z@q{CgZ-C;3ws@jT`#OZ;dX$tt%>q*}A*pMEQiAS0=P*xeL4GlL6yM|`G3Kkh+t7-- z1Ce_Fx9M(7R$p&4;>drN1u}yaGh443<5bkPtn!8#Z65uN%yUztq5RKkgspnQ3ha*d z2R~F6w+QeDFx;-Ql=22mi=YY`7y4XhL4yi@?I-@TIq)SPj|HkQkqaC&~~#V$XxoFLJ+CP70U9qSQyQF_pG^ocTDPw3X0kAzggxX zcRP?^UovpcLpXw3JDPUe! zv$JMERd7 zy)StD4*Ou=WOA!SfZL+8vyOsIQoxf!a!6FZl(2BCXEUgK@S2@}=y7FhzEOL|KGzqn z2M-qrz8^AyJvH~gP2vYrvYdVGd;BR02G`RvOx(h!E+)smQCP_*X1VQa>3N{@-EAc-1RLCSpc4UwXO-j~k@Ek&D=+`c6`?I%&UARtq{kwZGpba*?~ zEUR~Id43cVj+{x@PB?`q&zg4qbGn0fofP%-w2~kpoWhDx+%cQbI}k)Q?=FyyRj5I~ zVKFo{T>$agsTjRYT-YMpgALiLz5}tZD?;$Do84n|9-unmr9k6AjP#{;Y0B`BX7c}C zett}{+{7%!5G&AzpMdLyqa}_adu+poiWNIzK<(cyu7Kxy!RrU??0%T{ZHD!8{-ZGwVu8A`5U-ymfG|M8}5g>4tp z*TEduF{qM1M+t>7%xGy^P5|_Dke5+wRpBg<7k_H)RPJ_y-~k*~U`AS#srlS73Q=If zfgmNfD+JhxQ0E+>@)6|UP5w{fHtwn+X&ljJ%jpf#^ho}jr*qQigZ%&0f*svyEm0!w zOJz{Pv0v3DkP+9KyLa!h%OsgT9G2is>Ek>XTtrzIrG6?Zs>?oB@NGSiX-Ip@CQmvr zOoO4zZPaynqEj4GikoES2hLUx>&)g)ZnQuY?-Kk`e zz#@D*1&^FgF%|aM;_v6(TGTr6r?-Y=+>cXjlvouxk)=YprxNm{V~)VP7w zY%yuhF&h`&9zN^q-EJXps5y*|&9+Ka;2-|`AfRXnDdonb3x_==lKS0ZI(MaKU-tb{ zEQ5-`0hJE&Y!Q=Fj*Uf7WTUq0Vq;ULrs#(JRV1DkjDGza2uX*-*BZ8;6t+qH(UM$q zteF9YF@#Wbt`BBN%v6@6=oIRF_g}+sp>EryKmWZnG3Xz=Goa}fNX9M(3N<-j6z{|j za7Sn=kzy<8>ghxyiotSZAc|uYzR2K!ST9eS@7J{Jo3kyoY{F69rYW1i*`i`IPo?nL zrZ#@rKZmxeKb1qRiJ)oytZ6vIxs>?7d--Porgibk9HjHlIk@UX3FG7OwJ1Gnv($GS ztNVPjfTHNZO7a_x$GN$gDmDNmaiAnIFCyB0K4SnHK_PGvDg~)sKfFa1sWoufn;s7? zdEfM6#cb(Ym@QrUooMVNusiR)^bat|LOS}&cxYPV4O+8vrH-nCdIlrSdco8LY0lZEuG zv;XeHDd_8nsu7_B7peJu1Ps8GGliX+J zydUnL$7`Hz^-G(^YbFb=jC}D=1$TVxo5%27VmQ>y4w9KS5XI$78qaN-B;XgQRK(@<|qVR`2^ok$&PgvZoeU1$tcNG&_l<@!T4q``t$hLfgfpixpTo@$uHK9afb7i3wESrFN5!_fS&q2oX!ruS(K1eW;F$ z)ayZJ0p&?P0V*Gc?k!QjusHK!lnZX?L5cP)ra~z+$-L-~yBXz~#fK5$M4>FpK#W?S z$7+Upd)977q8iATSQ43s=aI6hAwg_Xpv><9M{;$mq=M<7lHDn^_vV}F*SiF!MYJ#@ zOHVo(>-Dq`?^u>jH&|9IrXSJ+6%OPHXPa8fjH%g) zkTFFUZDS1ds*M*Lw&C#2_NPn|M2&`^5>ult)Q&z{UjWGxgg1p3qMGzR`Vimogi}KE0=0p^r#)4d{-Q}AM*L>zWi+(K2)oisdgzrgZBwKiK(yNw|Jh< zdNmrvTpTiotq zWM1papYp`z(gI>6htCRB2yaaOm=MzpghV0!HZfabHE^hvTH?fM&Y0qETA4ljSG72k zSpCKbw_r=KribuSjLCRz!K7`x^YytP@A}vMvc0ROJQ&{C-HuSmYl+nBJY)O$@@CB? zTP7HCSH{sbVTupOYJA9)sl@aje#izFM-R5LV{4%l55*&=P!9O3z*N$3xqR+B04lJy z@R z-w$d{cW&0vtQIN-toa1Xl;{RWYeA4HBL}1U7}ygjf-TyfJ6TMY8D$9%$luL1UDSAFEr@=7nvx#=L0nBbXZ`GIL2@3ba?z|ygs}ufxxBjCE4h)gdp-xWw}OFI znaX925ufm-6ssyB054VD9gKZ^GS}LdtX7FNW<1aPPdKynh{IFr7xcS_@_s%QYdW~&2~&v<))~}VI(Juim(H%HEs@s0HdGb} zx~}LQlt~%5?45s{H_qA9R8$?^0X5BMdS%{hO*=K*t&FetN;d9sZ?ogp8|&LctMLhCsMJPD7|HvU<`>(B*u9<;U_~XGx^$nBAP@BW4 z(I+(gN{!sT|7K9g2ZsB1PL!Y8@~&#t&$_D2?P_Yh2jx1cE^k9hude0DRh=P!<6Z>X zbM66BIHr?rCOv1(rPlBr9xDfNYW}R_jS$Q9{fcx3ZVJu`&jx!9iO6-|t7p!ya&~=x ze|cxkEpux)l9OpMtZBW>G_jVGy+)6eQ;pQH7zwt%qY=51JD_=5&+bl;ZzoWMasVlC zWlsFUuT!5T!SK3Z)U`&%isWCI3}9*pSjYnl)p; zy{F%QCoqc!D211g(L}%~Y?dYcGAt`0|8t`)*m*OkQ*Iz2g3Ed%#3jz>^c#NPm+uiC zzf@7wU<%_IZ<&IJIiFp>ragOkhlvlPhl7adMNV&4wBbfx(kM5{RNQ;~<-14c;Cy2R zx7j4)Ir%5HCj)JSh5aMtQAr&A!1gUk=G7_}3C|VBP+E&Go{1nU$8?wx;~2F1^Nv5b zB18*Ze*7Sf4E=2Np^cOh|ah8J*O^M6GB!IeMh98$9Du6SvvZeFIdlbTr}b+76+X zezzc|XczI!LEC~U`>!Sf!(O*IlBKY#Z;$U$%8h?`|Z#c-dor=LRfJ9Fq!No zY6ko^ziYO!q@k-Jc`HqezZKeX`d*Za>IE+#VSCaFx1PHRwBX^>$* z&&sZSOb&CmigOeR5I7lB03MU4Mz?b<6yWjMTzNt>(uq5*dB@h4bRyqm=!{AYWc{f& zYN>CEY&NXPSB;ZE3jEQid0DE`fNSk19I$PsTx$vpxXyk~iDD8yx6#)MLxY=UszR`Y-WY{-4_PDC5vIox!Y}E0vkV z&r(yt3>15#d(~(MM0~cZjT_CKemLf=3kNP~pAQr#|LTN0yIOgOND4>yzj#M$Wu#xC z?zmvUMv@Z0_XDp}O!Qo;qAQhoYpVx2FckFOE-M;=G6};zRei5E z`H0I^kE;dg&H93o2K3za^5%E1G4wyl=CeVaPntlL6C=@Q4akjvoiB0h>Q0|efN6hn z$Iv&?GjgXrS1iejWh653%01v)CwyDu0q>8r6V!JXK=Kn^-BnK#JLDtxe{uS`RB`+f ze;$~BzF!od2B?@)gWxx!Wjp##-rf?^VR*@`j^lUiY=Apw;IB#dv60x$??bv=y?63y zVmYZ{BJHyNMaE@>$azoUXIy3apyvx2ds{D(_Z}Jd@hd7mS{yGWa=R{P9hpRYF95bz z_yD;RHxoc;6Df9D9eO~E7ye*AJ_^sMJdx!Y{Fgmb(COm*)y{mmF7K~?io2Qtzddu$ z7fFIofq;ma*SOwxV2xw7UpJ$VDK`x+9vOBkv~WPzaknY3X}4yk%&$zpLf>T2cCw-W zw@kYB_LFHHSwqQV?-62 zt^vCfvn#<~t(o(gNqzhh(^eptpPt-tCdIyDIsI{>LjLTHW+%PCi~Y7IX(`k(uFmDK zT6;?Y5XzbKzx1$=^CLN`R3_c<{a>*MAF%cw0eA!7lNz)n(Jb8%c^9>{p%J;DLBcy{ z?-wdYi#ZUBbSA|pn%F|8ipI!;Irh8mj}JZNxh_)FN|Ey>VF_hqUeS|E?pdw9&(xws zUhf+w%h&Uv8U2Wdy|TX$Q2PhyzH#ow3BMPQs~5#AoNXcR3Kj0D5fmIHAIqcu}ENBU-?A0S+kR^rNj)2bPG4e#ESAha->PWyQzLn0x2uj(g~ zzt{p4q)D7c`a=f%HYjf;Dn)T<)!Q02#_6aMXZfYYxZ>vS)k|_x%4`Sz-7?r+= zFF=b4WDb6d*Wpi<+LiW5l2W`!tq%EsaO6s+J84R73CMA!btKFegl|$R2@}g7mMlMe zLv_pLdy(f_J|_CQeST=VCU@(y;#PBnW4M{43RTaxEwv^~@59Gdnd+M`gc-HXiW)w@^ZLssZo<3m-P**T!Ef zp71XhzK%MxQKKw7^GyfWkuz?8vui4YE|L6iJU!JMekQQ&uLA)ADeqtDmb8G7d{W+g ztp%ALMXkI)+6rDI}P3!@E|Gn4shuM>r6C=!k=j* zSGT8m5^$lkh`yTKKZ+IPeIFvJ5XF06D;L zc;Zxp*@0L9$>miLe(>~rzw5@>XRlBtDlA1EIiHY~z0)R!0u-@`B;;1VYWRu7msOul z1ryYO`I~`x%jV$h?JHz0NUr_03bgo{>FLwJJVAdBJ8a`n!jkr|BF5QUx1O*p>k&db zlwz*%tsY`)iof~po;>4PA&2ABW2+^>#~k~*Kxx3|fH=P~uBGq{|0tRz=DK7FbL2`p%+h-k4SjS;Hb=#2r-Ye&5?V7cmab+UO#xsNAJ5Uj|T z-fNxZzN&Sq?~rW>XV>muq@0=@VOk%|%uM~7mYLC+Lu6^;kvVSvkD>-pk>6#^zZ6f* z)f7zlW2v!;%QqYO3ivUpKup2B0U|I?;|qY@B)<>P!&-Cb;vnCnmZPL{N&%+@a5H-^ ze8OPA!{`DV=lBxHJfB`L!5B{JRI;O#Q&0z?A&oNDfr5|Rgt7JR_OIkV5;=8rB@4jz zx3p4)(;@oAYnY|Fsz@vghIieleNWUN9_#(ZJG8)}z{spclj!kN-%iHfqP=YJeT zlb{^t&>?nBB_qE_sAJVeUIWPW_lx^2%lCIv{JJF9Z~MrKKTwxqMx0f|IpDJ-Q1xZM z4uhClTU*x?doJRb^zh+Pi~b_DIx6tLDgXwae!$xH1L%Q#juNtFj$TV6cdldAi1S

K!d#9u&Uy`iinTe}T`&`#CD zV$~#;M7LrC4DVo)ss%0lNoz_`pHyF;810vk=`M%e@ zZ`MT%4?stgqp zr6Q7+(o$;uDvB#iP{Z*TBh?{$z0be9z_}k9YJH3e*xDQ+uCUW5Z%A!PX)q=n(>lq z0isu(uVG)ZE5iZ(zZ4ee!JM!Px_2}QU4$OpkLM3QFV)X+=EjK-_9Y#}+P9W~@>aQK z^176c6-liJ{CeDvICdlqYQgRMI2psBA&Yta(Xt5~GRnf}{k6`+11wtpUl)05RKrlS z@jfX_7Mt71%Lt#AX~64^S$5hx5EkL)_CG5b-5=ln96_G=*og)-lt9Dq zmIu7Nq3&Pg2+)$`Ng!4A_LNVVD>X?VoP=stOAL(wN6Ylxnkc>-e|NV4bZQA=mqceh z8Oj*!PKVmWj0wFz^h?h=Wn5icT#$l#2DvMwC&R#zaZp8joR#N3 zLuXWCjB=wbMA%Oz^Y;6>AqyMP@mk;;+N) z7#v>mNE4l7q-XS)!Ta0qVprc^h_!vrj>g30?)<*Yx9y4pNwnavU<8W0W)<6xK1*qn zDmV1KFhk2xOM;6BL0lKB4Q1_8QHYyJp#%0sYP~2uJ-8NwoEqjfgpYtF7;HYl)5;+T zOi^GEtvId+CwGH=9I=y#JZmGiLq=p3Vw5`)nHLh%=GUv3GX!t688&rj)?QEVI#XZX z2T&VWM<Ja8#5z*}VWk~ydIa(6D0$ev*IULDKDFxTa~?ZT67W ztOvWqq&PfYN;e>qjwpn)pe-1ic0-e(ELdq*`?84QoIs?2-S<9}s^mhR;g0Pb+(o@r z`>!(B8EeJj*$@lfY<_HOn1QCL)(e6eZcKRh3zu;MM1T4$tr`BTOuZ{#tlusSZzs3~ zODf9SqgnT6izKqa!AC)g)}E{hedZxnE#-CQ0b)CIdLyR-iN6eq$6Y^VkQ3otv%ZNx zS*vaFKIsb?LyP!==AZLr;EQ}7r zl0(S{`EpGb_ZeqEf4~>LSOCUwT`^_~l)WExvm@HoOqr!lOPcpF@bXs7OY^#2Ai>Y+ z{ZaFB7W*&DO_Ad*(IqJ5RT>J z21m99ZevJ3OxTKh5u7m?MDv#CDG@?@s!HRkE^LGO&Cf@yNMZ*=M8+ed@zt3$+u|=I zoi!re&Pz13?2)!<8P@I2l=7R>8mwJP>{$;`Xd(rONMje(^;wb$fia}8GkH$=-kW5g zIztiH8dZc=SI#<+17isYqTKi9(6?pULIT>mp*Mj2F}@f`hYp1E6)hoPo6-@S>zDII zsqMpT`}PU*>6K}qYf{uX5Qm5Y1PHjn0>^fJ`Y3;gX>?$I-!RJ#sVE~e@LuU*30_+H z7m)zQ3t}cAU>3 zj9elwos6a@_Ev^1^EUWpM|jIXoZsyl1V+VUTWVR&no)ZKtr`c`r&c)xq-b{2kC_w5 zui|;zJ}5Eh8Q*%ZHI!|u=4*l7yivF7S5C{$>~&JMtbNVot0c8-Iyo*Z9F0G>W#%E+ zRVdbBn}0{`TrYn-7Rp;Dpwh!31As9>GN)IB7BsS??&qpE*clw2kA<4Kr9Fad{Fsho z1tKhN8198}jsEKX3%7wknXi1Os!F_?o`t~_(PD5eD?go!=g7 z*N%LG(Bw>KJ^FIOLNrMAQ4cr8HHTMXNnBk_tq1zbX#oOBM6BA?H00JIO@=1BSk5iL zC0w@cCYS;61Gmd+;0{M_pyCXCXZ*G_vZnf$WyS*XH+A;s{Wn(;9lbNKrfc?$)UT0O zkT_>EJ#9}vN9XLBP2A9bB`D*TW>CD>DwaOT#t)hC5JxYYEY_*KSUqQfp%eza z>F*#!mhVXVTn8T;V#zm|qGGvTk$p2i9f4tTK@!dGFz(SVR<7b}=n+R- z=Lsc~Dcf~1uVFgQlm2DP0?G^5J66SHMbX$KAoom3gBU2w6jjW6dcPJ)b@c&rsfQAn zfeSrx^g6)Te?#NeFDs+WIXuQNQ43HU`sL~!QLDtY8HD}S<(IQ~!2QuUqEyiD)+q9d zrV&wMk6=ng)ZAAIu0Ti! zuvIqpw8~Zu-`M!_!c^M%sQ=JnQ}Ha4wLH?tm#C`dqfo}u&7@b&Q<+AED&d!Usm#Re zPYDC;ANZ~6_^noh-hVk(%x~*okpf54$CKx7^8Tx=CQpX49g-`^h-zMS!kDqmwzuqA z(;#jk!6V{^_@+!3@ijDZRSdmb4^L*q3ppu)V)-@IcwUKhC$;r+4iXl6UjKEg!f^Aq zs+wAiY59anFp?k7g_1uC-sX@sZ2-HdTV%Kh689E8eSd%U{?^ZgAQ)*}s7CcH9#b1! z(FDm>3_398^~8t_Osh7&v;pfMvTZ%<#|0{x=2!<{58}k`2YTxPUJQ>tLBe=mDUKw0 zdyBMdDb*T%FcH=J#2lCDv>NUG}NFRnTc6c#4Vw1|Dh6$T>>D9t0OP{L| zs&9u{8i7ok7bU+B*G13khr0jkG%CBF1w~~HBS(-j4|$uYLnQcH!9lN93dn--Xp{=< zy7uT!i98Bl7+|Z4f|Ou063+`3`S49^mI3SwV7xHty=j#qvJYQxSxCDbpRKrWpvY{w zPeWw7k7oL&4D8HtzvRvMv-WXBGyExE-NxzFqJM^Rt#LU=BEn|yt0&-P#E4$5XmrO2 zUq*G`t;c1FUCrO0cHH0i%Vr6m?2L2|eihVX|1%Cx0?IT8p=b=*pRDhJ&lSplMsNVj zX~XcHzXvu{7?8TlwRB)G<((}S_4?xq5DNm{leKlqX^aY8wvJn2^%d)KK)$X0sk?W_ zH`zCiTraQNDXSCG`K^m(k5YRgAM>wo^VbAGT^m~-0IWC@zHdfDsu9$+;B9V z3g>&aODLa)C!aH9kEVAr+&-e7DWZ`yM;xmh9uITl?b1uFhX z-#Fk@P7_I&Kus$kB`c#B#qnuZ-D-IEROz)lrSf>+00@j`Njfqr7`5x7JrmAQMnvL5 zNcOM}0BN0D#C zong;Tss$~zCISrCaDPq0Xf`$lN4ui+27BCJOBrNiX*6n|s`G?WfPdK{xZ#o4T+3Na zxi5gixs?*~!mO$%k+0q4jwdS)GQ+2mo%k^oTh&7#AxgO!=Ewl$VZ~(-D4vQn1xv?P z2U}R6%Y>G@Xc85w>;oC1B-UEffS?d=}Po%da($no8n0%gm!uMGKX(d|3 zArJ4LfzpGFjM!jB`hg>nXvjfatPew)g%MMg*^-y-#fWlOTX4SoE<$tK72;@LuTf6G_p4eZ};xag(vTQOYr4!z6%^V#KVTUQJdX zPaDHpy+VONIpfig$thgtQ0z~Ay(g(<8{M`iA=>XH^M?=+I7vzRv7u~w`wY^$GX2xB zT~&VaJce0L3kqbO>u^xnw)w)Uz!aRe5~Rrhem2S z9E%X}080K^mSmrAC;(|zxRh1|oc-Pw2X)?=GDR@vHC4AW6>tgw55s{p<3l#hm0A*D zK7!M?B79h^PT2Yx!0;P?vsHYzH0E#j-1TnHS&a`Pfpw!$yeALC8Qa0VXFH>`5k|H&E?3`uW{mZI`ct3F1u$fv=-u zrbEAz4p@an)eojJ{}|(RVNOz(^=5d-P{JkWNSL{ew*=8C+LwJ7cz^+P)9Xm69BGyw z)ojnRZ%HBwMgxF+QqP@8&@MA(^#0n&{z%D*A7ulqhQVJX6yDlN z6WK^&79pY0e?PkmfO3NYRe}IWsIq$149By7?y7D9Z*0{t^>IL=oUA%jOB!wx*TP0* zFu~=KeBOMDw6fAVj$kpcYQ39T7p={`z5U=69@8r5ivS64p3v95kuMjo~KxWrguBArI|@(o4-?{ z35dbHx%3&gJWS+_WXcbjAzYA_Gk;m?Ce_Dq^LC_?vGqI0BzjL39Ri!ppk(K|`L%6RU3G6Q$_RkyS0(-`Lh>gH`0s;^7zn{H zZhWM`A?A02$;Jk0jj+kg|Jk%2@2f^l_Tkx2E0ODy!;mA?YxU7nBX9QK@idmQ*~}fs zz$nA8d$HOtl3>a6SsqV(>e#`)08}Bk+0vUHi10Vz`47IPD6BW&)jThjeRAvTsU_by zYeta`XhhP$jBW%OF-4k~!x~}KA5JqJ`sjiXh)6$?q%rU#&_WY}93>MY0R0X}qj)m% zN*4nBKL1!&Ei{6;_FmP-ZF~nz0e~@_&YA;cU1ne8Cip%x^-qIpx6S&n**T1NEuKVL zD?!a2p&S$lQr%%5K~Ztc#y+3%^ofEg0R_%55v_#P@iJ zrR&!kwgE5UbcTB{HB{7n?T3S2irBrprryhJZ9U<`o$B2)nl<0?Ip53P=Qn#aLXSee z7=JIbYj7~|NsN%xET6{-Y|Tz|YB7nova0iN+tzT1mKTouUoOB<%8o9&)^h|PFU`9% z=l%QnA`0+t4gUR{*gX%I-E4PCd!PGETAMd%^gFP#+XSzNP;Mu7V8^G=mxSmBz3DR` z+|=~++v3sIg+;zPn9TN1DZ3+rK4hk*7HW~&Pw#ycv~7kx3X%L|#J0A!=Gd@_p4lj) zohtymHX7Xy@xZeEr~V5_k5UI+Il;#D8gkPxm zr3cd|rANJdmW3<|Vwwtea7DdsntbUBeVw-6G?;D83LGP@%Nq${im%Jr*ah%>@3c6+ z5H`Ls^9J!%MeCU&zFWlC!*BA=_Zo49oN0xKtWuBU9imhsNN96M3yHuC9M!`0WK;TQ zXU1>9twey$)@V#F_c~l1h~$8Q2k9ekpGnr-++dk3Phy~Zl^%K&1o+!knZ_Gx1eR>} zT`8?J=KKdUxkw>68{*S?jD^GR)Hiv<+O-cLfCq>7DEx@%GJ#3ia(HdYJfxZnfPf!9 zRE_T@BCN(;6B>E^ya~{L&-gqB8S=RIg0X#^Jq&o%*bq<+*;bxEmw-aVpNBADz*_&# zmm{tK_f{Z)jERBkY-iS>RMTtLSg?~+7~MuW15iM7OPGlg5)w2th!QlMbpxtjGb^eT zb9fzQn+Q9i@=$#KuJWwG?jGfiCiH73hGlxf`*$AM+$je@Uf5R54>h zOphbE)nt&)6Qd@=$q!V+*9CV--xiCT1eQ?A#RLAq=VN(rJT8R}fX3?p${T}~o(MM2 z(;(GB}8=wF0QBa)U= zv&1R%br7HQRELzTyl&~kA8+9FvW{4&%hzVkoXrnjcs;lyF;W2Uqx%(IU8-_Tj*iD&;lG8*MHdnPf~ zw+715oA@0s_Vhe?0LT`O;s>@mQ^p4i+Piq@bWRaS$C#z<%$KSc9nD|w?DS_d;i0tN z_&iRM`#~Hf4X7;?MqdDNwcar1elDfG;R6a-$9C~x3SqRJ6>{ml{?bbbs*S}%ARBqv zP`2NAGVGgT{1i>1RGT$LepS7G#F5*V&|?qWysuEc5pccI0EiFB<@}Ui zCx1DfVFWmq`=9hOl}-86P<3K&XJFOr7Q|8;8IqUO^eQR-*{eshiR%JbUz20Oteu;_ z(sWhd>d_9{K6>*s`k-s~)PM>t5KB5P(v`FjKqj<#fYfhv>l9+DkO;VSmOenV*(VE* zOE?9o2>3Z#Tlz`<6HVP0DHI4`)3^V7)Xu3m+bU0trU!d*$jE8fPl5Kkj$?kA{+EDY zB2*Igw&Bm+Wc#bhw~x_i#p3qeg+Np3|Eq6hg`u$98k}T zzRRAQxM!F#Sj0)^Y`Qk8P>J+k!QNE;dbi&UW)NDBY5YMKp;A(AMj&hTxdBlLg^GNw z{`cqp4_cSZ>p4Y)nnwUpepcCF^rO6ksK^7793Y=D0^Gj46bd~xd!U0zQlAb`nym&F z6&Lh!RgOL1eVc%s`KMK-7cl~8bn`xH=A3xldNrXau&Chz0%SWU4+wQhWbRS6DMq44 ziuIW(s#b*TMfr))B^jW>8R7YTK2@r%$dV4sj#kxQCGfE(^_3YldhF@P=WcFF7EiKq zupN-`y$RpHKJKK0tbBNtH+HUc7o%q59VU710#wnEj+_d3ipduI1EOVDej)peXGupVlWJ8CcNyF-o`(&F76UN?emxY8YV zY@G}3S~pJaoHi)PV<5lAp!;F?u7ro|qAJVh7d%`yQWHOupEch<>tz!A}P@1a`7!j^^OI^}Njn+k6lt(VuAc)FWHU zjTk8g2NO^kPA@KpCUM^Mc6w-YO}&Xlr(#}1DKsxpz0cpv>lL`6?Jcr@wd%njttb78 zl^}!_$Ps`aHr9F*eKdgXr-&ie?$Q;G_GV_zUv5Qj)S^k}&l@xF7z#SjAcfolDA3xM zI;rp)7_S|mtvd(wp+)clwe(=W;$T0T#9zmn$m33P=jPd`KX!9&=PKL79!m7A9&uM{?17mbZ4sOpl_%jh;R@(=dDF9d&u%GK=fjR_6?b6F(6e&n&C#R?maMzUW~bf* zUQLsQ)&G`;3c}%OMTxM!w+-x=ZGbKDcvJ$K=6iis`KUX4Y696O*?)SqnhH^QrnqIayhhq9-5!xgxB+_8&qC~oWl23H3)hX39V^*`2eyN-L%j{`r_O^^98G^n? zdQ#s6mHv5SuTlVh-ljEs;@6i0nznwT8C(XX+5kzsa-vBYjEcvE;Iv~pX6{V!UPpEN zqd;s1{{U5eWVOpNTTgHc_k(~6YFEWXxq?~iRXjN?E)Z$=}d=NjtreNAw#ce{CB-2=u%RvR1zTG1CFQwH!nQ{`~ zJ`?lInS5*i{{8!ck)#g~-!Z}2jQp>6SGULMhu-?w+1cCAU}gMq49h7@z!!;jXG$Mf z>-)Ujt(-~sey4R(nen}0V`ywU(a;5t9w#ok+?FO{RX>lxRq$3GSQLv&99-T8nlO;` zJwPeH^j{0Qf8y`4He>Kw@bR7J^C~T@0}+dl21|->Lw_Seuam<;#DWu5U2MnlY1(7E zTQ}njH-oJohjVXLq--r7e7+MW&Z5EebN2MS1ZZ^bzvVmf*}!uysEh1= z>;1uRCeceo?VSTl5-KDzCr6FKkM{Ud7y?l5;Cxm{;i%oI4AB+4);c$Kmtj*k!ENgZ zA8-pr$B9$K{8>qsxAGIy?|y0Mdz5VK&*|O%voklZMqOsp-CV75BOjOP<nl_djYkO|Jfr*p?2SPF{>$E7NNG)r$6LAxCKaVsgr%@o>Kg8W+ zgMu8k=se#SjpCFx8&|g(8NjT5Xkkp5SV>FBVJ38V@5glfzaie;G4VvemhkslP14zU z^5dFTKH@v@lSrxihOyMLsL_I5l5cozY7*b&S@X{2veUVyUd z=pV6k=klR?r7BDE)b3CBw;6pHU#D3Z$+fhqC)ps1QcNYWdvE#D1vI&cou#6%Aph*x z5q@E!0~1X(0dT=ob|PHls~P+Tibl44>gBuwz9D63f5X!pxPmE9BYMlE7uD68>fH7OeW+cv-|)ZcCR227xSj-1^jwRfH=q^L6gX!u1)5F#o1z7j0$4tqW5;s|`^K6-hZeIj4c zSK>=A9Z!c4#7+}fs`rpJNI+=|N&+h_14XcQo*|51@>-DDzzSK)e4qU5|6B+SmH>9# zZOjXYUSzS)jC2hFMK+?e^dn112+?belrj^8W@i!MmoG)Qh4_?l8}~5E2hV#pyXU-) zzb+i-6B^kzDZpEI}>XMf? zIpmnwfmw7SjHGmkVNS*bW4Z>*I1SQn=L}`paaZYNr7U)YIAz;>5uL&>oASIAa8Q&y z0x|0X#<($y_^wLZAE!Vtwf7Dc$)|$_TosN_=~ap|Q&y-V^iRp;pv2Nxel1XiQ?J>l zDMQ{|bJL}N)^WO3C~Gfv4n5q}VDfnpmgXWwmg9sko>iNL<`Aq6^+|LXfAHq zj~H6{#Upb{_KBVn!{G}-DA3`@qrsd6hA#9p1bg7l$yVI}S$j?UO#Vj^1({#Nr9Yt# zaa=si`e$b>e7{B^b`{&PmY>7y7W>Z^E%0{&z8EU;LkLAN>wrxA-sAf8)1=ihW66;) zvRI-f%NFv`p+YSpig)~FhEuvmWr+&993asc7j0>TJ1iE^yE0FsP;ydq(T&eo+fRrJ zY}2gBAzw-qfp8oAAhdN96k0lPZ#d^80|{)HJna`~_lxaeyU#E`9f;#CmT}PLciKQWbd7ISSgZaq@j{|AM=kIEg!gIoJ>)w2gc#%773o+H>vk&9dX3xTa z1b>--@|!lE!F7rXauDUHpT5jabiT#-_niExz5hYk`dV25%clym9%Di?G+@H-WxYm) zWGj)G_*@Lh9&oFi;IJu`vUA*ST+cV2oh8}Tn3H!Dc~UD%eU~LAdzdxO89lm60nkqo zy4v`OnTe?xG)S^EcuZd5@Av(_2xiy|)_goY8m_55o>VLtK>^q1O^(1T5to&Th>MdF za?FN8uD6!0`N^*hJ&=e1U&FVHvUXoxo6x%nJioEs601|I}`QDSUkUOx1| zqkeVN=I?c`B78ryb3@tAnPURJ%$>8d5Wri^c$FXzHEL3>NS&;|?2*zu@D$p0Gk0m< zTda#WwDxxOd;)o!mMK)#dZ@kfG8)oQmJ$_Glef(}KCjHkHz3M1w+svK#HSYFd&Rwu zk4D9{D4M!ZMKjA8I`uY?AYRa+LcV>0Ak4oYH|CKu)c5z#b5S7>YKqqO?JeKdXRp!` z$LEoX*wH23sK9&tZG%n!>RKLwo3onMsB}x=nq!FzLxQS6Fg@b|dPApT*Ybci#hdRD ztM>10(gsLRCco=}P>7C{QkOu*euZHpBdCYayMScvF$;NU`>A#XjCWtkB>tFatdLuWq*l|cl1q$(;@OCn+;ihq$wRs zhgx-ra}rS2LLYpsAR`ZbNwg5Av+Gi^p^aE@)Vw5di47J`m#Vx}4qyuk=; z=>sf>dzDQpU$s|Z(vmu}0ih;c$4h&%Q0X$h2hKEO8;lTOI9Rss>Y5Dx-4h7-t+ZC+ zH!QMf79#J`z#+|Ly3%HWKh+mImCXVPfETOha~1?V1v)SebGOC z$1CEtw;Dm&J{(r-@;54O{8oU9e^6qRK!#%T-iS%70Zw11z)S)d13s+Je7#O@ptBUgF7l;vZ z-pWS2H+uVXYMWI7Kg;i{YwuNu+tbsjt>H(82<}(hOz44bu|1nV(mtDu>Xd6&T$6Tj zM4CG(9z^A4ci5&{NmQ}nt32Z2mtq5kfgrD*SZ~}l$_NLL-2(?^cmIIyiG~1Op?aw9 zIptFF^^3vdHPGdOvy0LNp3vauQpJxpx)@BB>o%??v>)h99+8#8#2%#K6VNouCX& zFFos;+FCj!0w?tF5njL09|ZM%fiZ+;-4V<@uD&+NG%&CR+t9FMq21 z5|v+p@d#+B!@0BHKE21&9XtE&{0j~b{dBEgqWsMK@i6Z$dzayVm(c^Jr&%EOdW6UD z#Y8cs=EqyS?ZrPz{3}L**g>mAB}EnCs|4n+O3FFewv&0QAL^E*h!6HiYZ%R14QG%x zu%Z|rL=EUm$B`6`I7=4NN~>99I~R=tp*0+?FE*JO-91vI**IFJ315zx6sL9oT|&Jk zdccL{%++;;89CAbD)9HW*Q6l1l=tZ)fC5prTf?Au7NZl5F)P*^K;b-EVI_+)|RJ4p1dyp9%e}s7qC3 z&`C}?h`Kc7%R+><#nrcm1^#|nYuHO#?R27BuZbD}nz)`-x}m~Z`VTyjIWu)~~```r0q-H;TpqaF!el#Y@JA9?gzYcxC4 zYW*W6M~VXFphEnk>!;z%xo!p^U_#@G_4(J&|9#oynC@?ycO!wZyDdDw2>4OJr+nqq zc$7MeH@(a9+<8bM+mub%ws?ywM4UrjmzBY0ImWgbA+3LL$;+k<`vPfyXwA!Q#{14U~lM&sr9V^))s{^c zEb6~T|1ErNkBz8<&%ojLx@!uEnUK&a9>ucJ%={cC$zNuKA1=wBUM;~D;X0W5hJo6v zN2$?vj}fN07$heYsCZOw3^ot|Fh2DvoqH=ezq*Mn^Bs}P1jB72#KQ})%dt(Hav+Lp zw5992ov<-$Xlk3iXrOXMqvpirJ`&1fZ!W_OMv+we_wNMYSDKRyPLix>XB~AO8~o6A>F61A4RK1db?vk?huWc7=+n4lF zmMDK!8b|wWxKHgmeZJBMcS$a`P6&8@H;jZ$G2wIn36{p(57r~K2^7GCSQewMUz>Sf zsoopNpAe#cT9DbB%gwQUdKNMVdjHFoE^4Haxce0=%E^6V+qomPGyxSH!LX%#-Or^I$! zkY?R}Q)5YTvT1pN%;H(8dIdSa5-sPB-u#wwt332$P>Vt|U*A4Cu^taNKNw*YHz;!c z(NV%}S0#}KDzP{cy}3=|$(Eoor8B+477et@aH_n_Su^oDD%3^3;P%CX>cM3BJc{wM zMV+Hbd(o71SVo4>$JFJSEAgjn#L^jF7jZ7{zoG=JtgU%4?-Xhk?vjUA{;c{}$Pb|r ze6@PmV0*=@nfBRBG~IUW-I_(_@};VPB&vc8M0iq*#M5Kj!G08#)Q%j}Ig-vGIrGCv zQGKR@w+a`n7uF|na=D6cZO65ns+-dB=0WAgVUfcF^qmGTDr{Ofs$V{&#be5+iFr*K zMqqQu&|wVb&9efK-DT@rRnP3AlY#{aHy7Xgu~pOHlE%^&_eQk36mD0fi5*s|oC>5T z4PK{d3&&7GEIJr21$PgFW0)n7Ea{h$fmGQnEEugZM-B~ zJh_o%_NuSn(oBt{lJoqo*{Xff&b~*1DDE68TC{VJ%QCK4)%{_fpf^~&jvh=~R3N6l z-u`TBTIZ0px3qLu)6Uw_&&_Xc)GscmjU%$sL%6YN*1pDNQZX7W{X9+?+CakN_fl9Q z{|*8fkP)fPU{8r$V|`ZcE=+kCg+d`KO-|!+-w6_OtUR{3B){fw*D*{6`j~cr^Lr3L zrx0B;#nfJL`_uHls*OPqnd8KE<8ZG%?rOiA2amLte=dSiVKA-Xwkx``rL-vU48hbS z_Bg7}tpCyh#On?|e0bf{_&74BBDUC4c5WhQ0Y5xX8NnH?U&_a~7T$XNhN0@e!QCGE zuE~<{v+@GY3z(wF?TH5RJ&aS#MK-#+{h^F@eCh2H(8t|xpu5^QVS#myN|87{%#k17 zr}V~Hw&}jm*2_;brG6o;O$`3(#aT%wlSt2{un#+sN(hzdu_4^(=XJ-p461|BCyyBk z_JEBGIH{*mj6Z)m8n(ok%ov&|FcP|i;SKZ;)EDELky9G$_S;lLz9`#ELvz@7x2XkA z^?5TC!5MOLyM%>TaJULieylPsP9s7sA0&%Zyg=ih>?GX7QW~*Fy*XeYBF)yWY4iS7 z#h^zEqft&~h*`IitEw~VpTSkPgdr>QCnr|$ZVCH?FSnhu;Z-3#@DY21T_06{GeZEB zrypO5Hzdb4SOAazyA$QRXY^8P=hXyGfySu(?yw22fKRQ5!W&c1ww*G9n9=#h$D~?R zOEoF!V8Lxh?E&_D?tMqNZfPKlNjFckZyjgXZTgj;()Tbpd>ZBeNli_yV0^`uKCl$@ zWwmc6qfonXa^IZ8rsu^QbqvUtc44OTkTO?ZZ-cWq^un|qUEAK_7;!p8B-^6fgotRt zgx?D^+79P@nWed`DsS3&tWQqwnIqHEv$9|rv$_T*#`=V}5Xd`L#PsIBp=GA8#}%~? zW4pPz`D<$`hwN*(H~*dNe4VAQqSjK=PDufS6hv|0&-b9+m3+87d$kceX+NqsIMU4U zILmKw!Di&bFb!fXQ(dpr`ql)-UewWnkKI+z|Df5zud?xPayMONkhh}v1dhPJL@T|3 z+39it5u`O!TqW?@z{XSMHDJGT=NI&?f8OZOEPzK_Hl5i95@={UX7lDoz^wpk%7|T! zuV{IGeGLK)A`p`xI$>Y^g*b;qawW+-@W{EGRRXYGRFOC0~p z1z6M(ex@Su^c*X&=>a`1KKOk1XPt-^CXG>lG0v@q?qJm!LeCgDkuvlf%I#MtZAKRaQHO0HCyL=g;e zilMURte^1h0TG$kK%j?#_=D=`bHE>9mUl|J|5Uc^@jJwj0(6{k_z!)DjpN84nbU9} zRzs-E##w1RjkA)Av)XlYC8-U`f1WJOw&YZY8AY&l8beV2wD!MB?O(y>y>oF0s&SdI zrx5H-xF2m6A~`bTH4YAUwF`y@k+q)N-NE8$UY>PvhP*wMzAk9L-PBoDG1NYzln3 zdG`y`^IWm>*T3J9$OZV~7j(hwcuNOqWEBQII!Qg*$kgd|gN6n6$(Hmt zro5Z|`&0bumb6_$kF1v|QH_fIT^e%nh72%}UIw0kLXG~wtJ{~^Z#-PB7->NJ`p2uc zWB)uVr|_K}7wqF7Z!RwejpwZj+(IQ>Rg-LZT+Yg8LMIK1K7kADvCewQ&IUnIj=r_# zc4yHwhx?6nTD+c%Ok$~nx#!bdfdt)EY*7Low2fER03yD@#QMMOMOYJkJ-$b#|4lE` z+S)q1(XU_=JtO_T+}hX-fyW<1sY*M+Vk)070-WHWm4$|e@w?r-jG(e@gLH}u4?DLz z(`0<$2)S#SGxpBOnjA_D!;A^*>9hH9xqu-Sj^BJWTD}BgTjHA9<3Qf4^c!H?0(gm3 zGMxMD1d@?Cg>d-0v?N~D`=e2Ru2}!Ab`D0qv5C2r^qj)7EYU#=YVw%%%0%G=&VGnl`;%;B3WR@LT)1bn=Rs}%e9 z+^kY}OWRvH&{;Zvm2H0ZGQt(0`zT0>jq(tr39Kq-3fkU6paoEk2&u+V_7p_6YR?r) zG=s@aam#Ovtcw*6{&c0C5YAUmYOQRO5vvCh0!xYP3CacZt_+Za#uq&uJ3nQ6I=c+h zO7)<(JL*bz)6}<%vVM2VYhlC>al!lgo^+8QOgH&QbTk)8m755qNQyTKrjJ`U@fe@l z+8REk$T2D8-y-{y@mWQQgHps!Avx{yUmjl%v&xa?8T%T5;LFBNbN0HSP6HS>ep?(p z{asp`TmefbDtkA8=-G&$;;T%EqR{EKf+X%p{C?_MIz+pM%Ht(FA*_S;6h#4JHDX|i zx=py?zR4I`_73ir;45!au$?ECpSmp2aY)(iA}qQf5K~(@ogq$Bhm(`ILl&9u{rNe+ z89924!sW=|tr_qT&dTa87m@&kkhIOcqf{dN`h_B8<9d|Lhog$})=V=Z)p3_c2f z%|O)Q{7D@0@kJJ5dU*YDYY~QXW8J z$Ctm+B*^Eb-0p=Voc5Wk0`dDNr1`^57j+U_sK?ibf}JIwNei36UA zBQIBB0v;ufXCi_k+%Bs}R&U-v5Qk>4kRElbWJW3~PKXF9M0A;h#n6CuqdJRR2HyTF zr$zR728V)pNNa^Xo8utQKN70vq-)tMwA!7YrDjLb! zmRO-#F+l`O3WVLq@s@FxRSMu7z7^KD0#nGz|e}dk_$y{=Gln(izZ+>|FA{M`Wp5J|~XQ|8_o4HS$o}-8Dt-J^a-_f*P}h z{oO%r)+Cr-fyZTNdz`r_E8;_qK2`OM5bd+r#aEVGFrSkXdeA%3d{KlR{A|>F3!*CcA*YVc_Lfk5#OplkwM{v0ZVq1hG>)e4~M0_o3KucZaigQ5otA9(#FrwdV6cP zyDy-&r**7(eIGvQmkMTfUM&53RcIB6DYPy)HE+%}_gh#*8=Fc^?o)|~uz#trY z@f_yzIAgg5Gcp_~-vI5{!%^!yNZzu1a@`7!ug6G*eB=@OJ-1x^x5?YY=^wcVb*vAm zortacGsr-~Yc%Bc+y!#6FxaG7oQTr8k6+=JZX?gr4v|I)5G2%tR;_ULc5I(6U8?8R zT5O}W#T{Ht>5CJ8sQ+~uk0r@W7y%%_-Q8&3KgAf>?VRyNJP7D+akIYR&Cm{4C7=*~@A)9wcstyEkGMazxqm?#wMcfqT6{01neYI| z6Z0|V1A5X}Stu0L9&Za@qZ1tPf#w+so*vNS+1C6F=#ffXzC_-d*7-K;c!|XpP1-L= zupzD9P0MB&os*A9+BqXH4Mh`xq1#{ACG0RdB8)9rl{%7N4^2U!M8ETE=kYw|NUO)X zT3V61r0>K?8CvJHIqGr1&1cNv@&0IxANO^8*HzW?ydG0Li*6WeKDb3q5Zgx*+touQJ9Zh5?92lsr z=VpX?#Vyp^?@d&GAHz5OV0Sd!sSr5W*pvarxJo|=Js>=ER5$m^QRpjv6YJ@SS-BKa zE7e44-9D~Y&fzAL_-@|6iq@NZO?hc@H-5hh>=I%x1=W=B*w`DN6JX+nnWf4qi#^Rs z^VuFahN!;h8O-us{@d0zb3+@}9~6eIG?FkfQpLb)u&bU;5FxYsEKVAXhxN^4ZGS38 zsxcOA9zk}sSu-X|wEHez$Bt8cR-qDq&DU1Si5o<;K;o$zj|Hiq9Cm%J0hpmrtb2~1 zM7Ft>wC{0EmK%RyVvaO_Z2tJ@$`MZY&y`BZt2Z*YFS4j;$5C$c<2U2(ZfgbXrMhP2 z#JwzK-8leX1U{$-Tcx{XOq;qlL%2A;n~jcOaV(7CWCUC)!_B{Gv%@2&?D!rwHpXxY z4_-@)1;im%?H_*t`{@*RW7GgkE@_5@-|_M=324GkT$+>t6iB!8A1r+x%X*}t8by@h z_0qi2j8)(?rEREl8)+mP!h<)M;Hn6}<=;Ie6TJ5~a+%w<0835v7;iMGyBL#xQ-EUX zYn7+T{MBQ_Y=1zjmA)4MK4Vvc5KHdOAbJ=;aU{Vm=ToKgZ-*C6=d!dZy$%IJ8F&Cg zrpgRQ?|!YExL#%_ZIRHZ3O5&V=ZpT9;6mr*{XvJeG=H~Ey$9G5~gq%0eG`U{gwOL>Gy7x z4yN6r%?jMib17)f=QWw?A+RmNkPuTPVXUvgf)Fcp7s#}b%WEaBjL8(G7}8zb5*-%B z{ffjoerC*k{9Xx0h}K1u;( zKOzIoU`u8JK-X~?9+jT%LG;%wd}+067nen+i<|WIL$Hf$Rxj2jjisXA#hxjeg!!;f z+t*aX`r|r>QWUwSH}y;LAaQT)S85+_kJ_Jp_T9r{uKn=Ww(xfV@-1f0NOSyN_)OmUW* z1_rDv2q^ug4W^%^+BM{Bsi-go?H$u{gp}lgXF_k{3r`mM-ZQs++Ngj z*omFhzeK=p_sGjDnu3<+ji@Y9o7jk^P$u{PzJpllC2via)5CiuLfN#jewvZXh!aCh zT|KQFtX!?#{vS#>7wA50P0s;a80@4Bk(jqL~E3Sx0 zcS(0Qyw84r?;kx!IeHX6ai4o<=FY7BShntrVoULZvt!-QX}5X@IBoVfY!_NSV^1A? zx>BH`?OoK;C@UtmM-pjYVb1k$eT}e|c`h{H$%L;SAIL)@*&_xym4aQ~2@7v|C!FV8@91uF$uHIJgi^PlAk zbNE?SB4j@1emRqW2xBB*bErM6G#_1I-;W^S7JJxgd*YgXvYa%kTJ7t0ty+-8qq^ANiE^ z$H?B)tE(d>sx9G6s@B}elWIzAOt|s!B*R~xl)OWGQ~1ROo)p831P94b%F}*kyMGF} zII$V`du$4nn9qfUEA8v2oY%dl1~zri%DMj4HTAKO#y=R@f;T?yXQ$_bb>9ZpP9 zt#0!(Y&3W)jjb_VbOISB<7evV66c<6yD3SE_=EkMm)Rz>#Tm2M>2_1u*Sdk194X)} zn5VOn`w`*!{ zZ&eM_i3!)*1zjGIHmb4#M-uBcy>vU+$fgAQnGg-Z1XnTmvR%b6tTyILTMn*o3puv3 zvNVcwidbMdwg7LZfk!DaZVy#)sMQ*whv`V{e4+;<5m4+vZum}!#VfJQ0d!4?=^O3S z{WQ*Mqr6Z)kK0gANmTOVf8~w_E^~A6gk6iq($cgeaQ9J&?%ubdn~l@O$;m?!cu{Tg zbSi#KkKEynx5H2?3gqFsdftAzhVf1w~ zqROw)?2CWrxBqk8U~Mesr?*>Ielh{9`9D+@QS7O7_1Tpq{sreO&P%Z(;DG-2++Q*m z?rXt96$SW+_cB0iVc5=vsN3bjKo&vGiMba3m+c8DEU@3^aDL3c11wtYKJRUbvDryt zk%jQGC#Eu81M<=t%*M|Eff>|Jl%QoK7xu8o!u$imNPJk_YY4 z3ST<@q^{1Rl3D6qKW;mQ<@s;lT>5Z;d4A1Lj{1P3?uIT9%8}0i~2@Y=l}& z$$)2v2#CtqA;6+T)j)O;OR7nOiMt4jJn5VR0l&J?U1oFh`)A^;BoBNtk>lH*-k|)8 z)QJ9#ouG$i;M@cb{otd|`tWC3V`}WbFF5RYJ<^Ax&)+N_ow`gYb<_a#&{0H7=H|!7 zt0rwN&Gq^zP%in>p6UxtX_Z1C99%+ioNRGC?ytTYAnb0eL}aOG8Vi!3&o-JZcr&<) znG)+BK;ou3MVau>TOZnhiYfH@jJEfTg=8SkoH$aVHJe{OWxY#HfiNE&(}5)xQrFQ< zRLWwnNmZLgsfxY5g+TM!3P(T#nc^l8b$nGYW+E&;YfFG2)<|jdU6U*hnse#v@6rxL zbRODIPIgYq^FBGaK4fY%shpHar)`y`uTm29YvyHpl+($pV;b8_qAlx&pnMwJYasr^ z*7+x$F~RyWLu9y(&3C-T?=PSwBURg4XppjzwmH~i(@|Y>wmPPj22AVy?{2K+18=NH zeVwq~*l7sl?r*${^)`=IxmzMrZP*jxPZcE!IJP!wZQjT)-ekMSg%p5xP!4)_LXvdc zx;~$`L)YIAr%J~NvzC<;7I#1Qz|?Ng8(2Sr5Md>HR#hTeNGhK)*Vc}^ia{WZB9g+5 z6#}zuFKa&ofl2lp5eCp6Su+sPKo9#Uc4=qcDvbDuqgYU-uTUwE@brX7VIO$GdJkK9 zUekfH9yl-udnFuK$e~t^ubl3l`mT=KBG<~8r|`r9VR{{m)Fe4{fGfyQ#hr;a*5s8W zV4ohlWFR^_pdGuoH84G@>ik!7($1KBP-xj6-E&z@}!Pq*g9~qKm)aLr5om5 zN*~&dYD0y{cX|xoY3J9fTR?S_w>t2qhb?u_U|XrMXxv(lYfX3n-6GFFxP2gVYFJ=J z2yj1~X}B2m^^ql@=pjiU+uW)KF?fF zTv<_pNsN7E#{bG?jutKeV>0XRc8YpIA7oMyk;BU-`2aH$yhzn!UEq^H=jfiVRo{<8 zPd;{;h!yUz(?x?KiC(9wm{<2)V%p-tE3%O5G|~0JL=MM;XR9 z5q$#h0viA>>uC=Fdl6PlI9gXeiJHk%GQccF3yvz9M81DFSZ6!1LgnVh6;IUuXm94h zyA4(}Fpnio%q;8`IhBugF{wQ`FLKNpcV8cKYk;V&MUyT|e9iH1l|?o|xrIBHH4m}S z4Lw4^1F1tA#ch}~ zD)MAs&?pLAJQNB`^GLLC&QE5|{+wxQ50n`527|>jva|E#JdZwmb9wF&Ca%mMuE^c3 zP1V027^fa=oDVuqhSTF>(%K$gGQ5jXe7llA#z%f6d>r%i<@y{;eNMObxvsOIuD)n( zy9pl|l6sCc3PSHz2hyF1^5UR9wptbea;!v2Mmx8EUHUg!V2@wyb6iMdQ(#*^V6H@b z1|kbN$UQwe%-NLqsl@PluF$`Cl)8M@Ojt)$BS#I)uQtkNw-| zs)tq%n;+|@$}`|4U5~2^U@>ay=e+!7M}Fq)_8Z9c)9q03#&S|(VK%0`hM$--{aY>a z7SRA_U3y9ga^( z#v&r}7^=qA7fX0Zt|``<60I!FrIbXe0%n8XJR~3hT&X#KD|a6Mr_f`~o1f$T_FS3L zfhUv6eHeyN7XiHEQQ@K1*LR9snP0`TD2DPvFNQ}Lv)M!FFI zxQHeH;;i8Xh{T4Wr?L;4J8b z>_1`m;3*FY%-L5C3@g8VuCJ_b`(&c*_9E>DrHRLv4*%)&NK!fgu7JG~+7v>ToS9Hwz57IlfTv;rug~AogLtUK!Z2x1A-Q zQq}$7RfY#ysv(I00V2AJzvsIeTc9Ow5;SukG-#}TMd^RJZ7T+s^c6r-YZC6)D=d2+ z$Xzex&4WA^4W;?>-p`^az{0HhY^I zw3SDFjasrN9wK5mySTL%wp@TDQPOwxr$^#h;lvD7$?#G0+qx>x+gs*{P=nO zG1T+GM<~aaJ8y85i|mF``3(bRxD8{Y;j%;~A#ho}SR6C76t&z*5~k9_#nK$P;7Mog z1lN<20U^|}j-^?cA@Lwx`71qkTP1yufX8_(lWGdfKwad7dLzD40Y}`5%zsT$n=B}! z%#Eb~qYr9WkI0}Z%kp$)pp-_wA9X_uEBtY$#BCU(|+o!G_* z^D47FH*#YlC77Xg5PH4RpR#yd_4O;!z(16i=y`H^+|yorW>p})?OTct&%YY1!yAkB z<3!XJ^nJh3dz8x)hfrvZrOvLX#55gGIfsy#b4$`IqQb0q0=C5}H3@CpthYL(qH=QL z!otBTR|(vP^8{~EA!h!^H`80wJxQ{}IIuAlz;mk51%G(r7~lk(ceH5pGS(j}+jMGy zpXR@P6E?B#@_l;MT34=4V8_GWg@fGdfooS<+CavWpn0_m_5ZdNuCO}{5@F*FX=;G80(X2mKfX8{8`;x8R53AoBs zafSX#rS~dj+s&h!i(;f@Bgw3)6Mn6&AcD5ig1D5PNvWNTfWRAS`Y^p|Ahu zdU_$02#E`c8;yO|7OI^>M|J3dK;ritQa^oRE5ZSLB~_7DAD8Kg`D`8?{q>S3 z1tTV5$N4RoBeZg*H}#G^;|jGtJ?>-j+1;&x)cEXjL7L1(3pltQB{iB>f=-k(L(%Gi zX4)P&(p|>5AXp*8#T`z!BHO2x31hy%bS*@XD9_ikF}=#E*t$TEOD%^Wq;LB;A%=M;rJ?c zGJ);>Cb{aFXhqPJj_?;wT8O9sIci`2e`s40@eIkLQ&xYvj+^+}vVXhr1IUKYwA%*_ z)UKC&sSj@z!4fGPu*RkFL+i&^t&p0woZ8~x7`rJW5t9mokxieLx&AhZ$Tpijm87Jk znbSSHIx5J^hf-o|3_Y=G#o!7@qFD^hu=m@(gs1yP@=`LtO!(GI;+_+^g(pbzy}N#k{jbk}7plWUWgZNg4TB~MRniv*B<*_ zFa@Z(GCzJMEC!;!>1??l!5y&Onw|2#NIP~IVzmZtR>7m}SZ9g5cOT_^upoSGuWP}p z552}g)M?e<%~HrJbk3Vi{_5SOeKE)Me_8-i+yHP&aUo$hBf7V0WgpdCmx!V33Z0AFFo zJ1&tP|KRY62>>)j7yPIjbyC-R@BmR!-ki$LuR3{&63;<11Pu=VuPtD~iCQ%BnsM53 z>-EB7Bmh5buYIEv@C-neJ)Wj7cUh(DO2e<(7uwvV_6_Wt*z4Y>sPzR-z@T^4RANf* zT{Dm;6`G-fvZR)6iZ4kI9S_=%T-CSa1hyp-mb?}8-u`5AQegmCSd%bJ2v$7P%~&0 z&lpw_1OS}%!iWAlfZdp=Uch>*D4Tt~*Vy5`(|gE_TlH%QT=i$VA6(omE5)-6`OKwn zFGv*F8|wBlbR^6;NXe9)M6>zEY6XDp5VYoPm*5O|l_RYg8)41i$n8CyUgP>nnL;OL z#%$hybr( z%l^450p9GY`eSa7)Bwvo9mho7pO|deW)P7Z{&!p9VGSAOrUIixq*~cq{Ed8fsc0)o za>huac!@}&WeM=RrsU8y0yF+Mw_oM%^!UGzG5OQIu-uVTPTz@5>~=l{wAG+{Kf9E5QjO zD!I~dAfTm-ub0Q{OBBoi65<-c3=%ftCIo0E*WPSr5|lU>0wj$o%cVJ@^`T z%Kvv_e0+y`t)0GXzdr(&CiC$>XMWJ6?&*^&}=Y13RwK(imR*p zX67!!-*Gx_qbiPmYs30 zCzj{im0uCbm%Fsl7U5P8g?#3y`pxjds+`N`&;l5K-4K`Abl|)WMMv#2fqmg}uAe$N z&t>=y@Wh)!tb7Myq%w^*8`oenq;&NJwsir72Pj**xuZyT;Fn4+kOzoFjV* z&O7ee-DjIT4=dGCbie4k$ocO=!77s0C+W@Rf$`W>b~5EDvxP69F$V4PO<8HMtf9T| zyM&|_&0o$9#CcvW`E4amQ9wpd1jn}S+*_JuAMoe*Q>ohDXmUcK@R zX_NmkKc0y|W|SQJj59BlrA)7^sTME!CB>jUiByC#6UlF4)El_KFjANWm&2Q*Rwl4^#RsT|M6Q5rW@T z^acfplDe^g2s@U99k}QYy2iP-5XnGF2n*YiT%yuG(~rs`3`Oxo@uCffZ@E^3S5i7-b*Zs8Yrp1-30i!j%= z;Z~oe8xn1~mHy7jL!BmrO5pHhU&M!LHic%&MSjpV*~D!QGf8-AZG+!<_|#f(Vw1Jf zUN}!xJWw#2E{UBqHnCIVkfDaefr(IE$ZDU*29IXs)IZ~a3|JdD@2a9B)g1Y()iUCC z?xpjA7NdBiO#hmcGzq>=(i*<7PU257u192s1J;S+jmWzO_2Pgk2Y6-gsp-A|n^F2L z#RRpXQq=04$X%3piT0VKa164ngo z_B!#^S|ffd?f9E=)d>UjWOpq)!#y{6Tvx5H(W5RQZ0lr_tjOq?YcUJ#$Y4P^If{7Y z1qpAlGIOZo=pBp? z0UAMSRuavTEzmw+pm$I=Zc6QruU)B?&S8e>*jh{f`NCPc;R!g%we8+p%(+rXYGW%MC-NZy|Y+u;`tBTni$-$%jo zP5U|{T(4|#Ob7@iy7o!XtF;d&q6y{nuJMm@$5fRqW}2V*w}3?02yjX;&a#&ky@L$l_^04!NDlF5ec0_;>+o z*mT7+59nEo6=k#VJJ_#YO%e15y43n4()g)B@VL5{m-0=;w9*3ctlAUZlLtZ9d42!p zIvTrWa&qzlna8xb>68Tb{`Vsp_}5d(DW1J8FAqJW2tB+x9)ep7=7C*h=A@gOq5B(< ziX+;JvhaW|X`MY6x?V4L$D_!>fHS7H3I)=it)Dm+H89j@tK0y15_X8f32w2XRa?f~ zE)!}OLkRhJIav$bOYQ~tD(0Cqe)GT#KC^1h;24=}vLM)1)SgU7@uz>5^LxDC#0^R< zH-XV1AqnwkRt8YQ-kL=_$=FRxI2!x^fvT^=Zn@?#!6 zwoC!o6xjF@%u{#$>R!cX+2ZB7+CS!FU2g`)uJ7?Bk0Z^$&FmumbuSKAz{^UP)N%4x z-LTqX?z&XUDlRdnDJUFZ;ZfbdXJK@7=VrEm87v*u4wQM=G7-@nW1}uhWbN${AW|al zT|~3Tyd?7mKa-el_KvS@{oG2Z$gV(a_S(y~nDb_s3`R2{(C+aYpMveC zUE=o{eJXF0o&hUf9MXmo1bV@7qN?WpTwPt|-A?5JH_U~r>4|pVoyl5gNMNl|5b(5w zE_GuZr*RurnZdkP^X@P6Lf8F5*3W^xO^oQ??GxS6Wab!~+KtSKA&4zxaVxD61T3s* zOE0C%zfN4qy{o0a?mBO0zly3%!0+PkU-oQy&_L*zMMq6vJwZMA6zrQ$jQM;}R}Lcb z(5E4QaMZQJnr8t)A&-a2zMSftyd10J`RfA~Ui9@bU6i2QZ&!fVjHtQ(n0xT$}ZXF-JKvEn!<+`SY`!9Od@S?I@rtmZ)dN z@Vp7u7UCUI&#(TVUke=>3F2rm7h3XfpK`{PtrqPg>0uzkV-pis?f|4CZ9^V)tdc=` zIvT+HZP{qj)t7KSNh{M6Pid3@h)Te)%ByU4FvPE5AEUpu&y!Dl?e9shtu-`5bzecc zmG$3CsHTX1T1&uA3eP|s4=3~oZGls>!O-4b7x~CBLLg>jQ?W50IX@-BGxt%56tKxgCCg02 zZjtbA5k#HEVJ!5u14o-Ezm9_wVQpbN5~3)*f{V8OAn_65DIeKF4%x$hsgoLK{S6hT z7GEMvDG8&{k^A(4ujq3$v^oXesR4kKu6n{8zoxn5RaNEU4Iy~G*h+Wlh5_v<+0c-z z#ZqIjOcGhPDOs2?8wJcS)sfFYmD4mk2#NvboHnms?c!Qqgu_=Z!9#zh-f^OSese;9 zcMy|zHCjrl9Plq$r5y~AAPX@qEe#pMVPj(ht^(5k7md7b3Edx}^Uo^4n=$gU7B!EP zh+sv;{nl})Yx}bk;_yC(-q^0%*o%KVOHola?DlJfDusd_9B1PB-%KmLYTtuRT@zDS z$m;UX(?%#hhg)U0EY^>@o8@?ZizW}Nz`!eDSW5rAY_#M4x})P_IsP=T%~A!1Ta{gi z1{T0t;mj9(i~bzM34Nsw4urIsnQ}CFSp?cj5jHDL^nE_u-F7K@r6XU))S?u{fbC3a zYBu#YLfjyu3W%(Q%52NtS4@=al_nHtwAd7bM$TTS{5A!9M0oA5IbWuSeR-z0`u=_* zXX*!9at9$goF&VN-B%MlpK>C4N;jS`r4BBmmA=mWfSA+bR4GfjR!sS9Ux6PiE|XCx zS&H~Pu_yVNkL1_wDHvM#UO!GSX?XF&VWg}V>>dAYXjr8l7(DI0GGR;OB0Bi_QU(1gi|ic(1CkMa)e2128uhGYKm6Q z<5S@0%1eX==~R(DN(K(Za>u`fW0jVH`L1^8{&~ngU*6qXwtL8N_5%8UmfXmjdJvDS zdmV=f?m>%a^cSEU+_`j|xzGc{W!{UYXBf)5@I=}K_{zfl{5eX#fqQQ7?XT|PzSL4J zNx0w{UoY63X4kgpKrU)pz%Is9hi*Q`=YCizaB~i6eRpmX&kQ-SeW&{y!#T+qa!-@E7Q;x&?5T!cq?pets~AW5qBP>pJI`1 zmVe@kQRJ_Hz3Z{^8V~KV4Q-Ds9P!U)KACh z3#Xn#b?v=;eq!|!GxI{Z!$D%??izDDS)>PxK;39cszmreAY6R!cd6X<4BCxzma`h0 zuU{sI5Lf|{*^#eqInM$>7T8BtujAnaAsygnd10qHH|pT*!^kGL4J^gCc3rGeas)9x znKU3M;wO;P<3RX3ZiE2MrIJJ!yjh$9S=_(d+uyq*0|vV8kj|T%Rv4x5WzNDSEo5?j zetvrT(N4_+Wd?@3(a@0lvKTE4B}N9E3IzB4VGn(?U0|F4$;RlfZyOY!wbpkL8E1Op z>qO`ZorDF^Ggmf0i`_)yHp-np%=$LJN1y_&DBwsw%&k&G6-K`KSaZW_6HkegCZr^V z)lX8ON0siuxZ=NdQ<~+Dl9OoULTL70tBd2UfU}z%5(FH>=f-63cj|}Q54v$72f#2` z4w%zNQ~65rBABEFUqt6YhM=tumLL}jd_%di!H6oG6L=A{mD89BgiGkT7BnwwPFYM@}w8TM=w zB}}ah3-WfQwWrFQo~A)f64rnM5z*BC{R_Xv+L{3mt9mjL~GbWaUpNadVeZw{>tC~9=KBbE*l(yJ6;-JaPl?ghzDCn~}+{^@K z2rH-7jL%b8%0|l45u3J5u-fk@XRE~(8L8RZz}jTQEg2FJ?39-P8aT>hLai^f_9 z`Q*fY5D?q^7Q8)Z_EHGV7&w?r z;CWVR!`zkIJ#S}CDe%&;D&)7mrgK`IOVw(74hwer%4Z#pM@dPge_cvSCfp_^+Cpps zy#jeM<9e41Nw>s#@F~$1v{$)S+s^0F!h9afcxpvTlxJduA)|a|&zq$|J`l1)2A-Hh z!4%V*D4ie_tzD>xmJ;Nbp3nOYwP#phhLwD6J=@|24v(v=refDY^94><&D2#3=gadR zSasgsK>KSw=wTbEVpIFetYl=9qtZY^h^7*a*Z8UW7~{{kBQHdSy>TE|sB9%AF-(uD zbSu(v0=^-Nsn{}eDXS(aTk|>Ra@wvH+@(RvW!3gzx)%?#N* z=DDgBiHLfie5Zbt8jbpqO}r}Ko#OR8&uaIU}h@?M#NN<$Y_xhVPG70;{!6b4Hy zmel`$=jrU`iS7^~)vxOpVoZgGUqkYp0w*(U9p1re_ELC8l(zZ!TYRr*o3X+#t}Jh= zJML!gW9*Ew?5J#O`veqLztDq!N?)x&2NG6Wi*dv0 zLS-941tPu+FcK%M&>>Q4cwN^1dFtzq`PwEc1cI(Q3>>uotP58}RDCn?pra1< ziKF-$fmSn;7X|>Eg6*v7@zL+oZrLSe=N3cGEtNk8i6II^;iM^_-&5km>N!rHZ{78p zhvd1d$pu{;a2Xd8qQ;eQW<8zaaFq3vlHR+#080{y8Asnu|2RJ~VojZIls4mC#O<#8 zRM3EL?neV($M9HZrb*0CHiUlflzqeSw)W7ofpwz1K{@dPZB39={UojL`>r)8!Ldr+ z?zQ4oGiN&LY|qH(&d5oCez5&*=sDZ`)9t} zr_N+RB1wFE8z?W4C=9()Qg=g@mmpSscl|~Bm4Zgk4?BC^WLX8GA5k>t`O!(rB|hf~ z6jH^e>8GG+Ua7v@s)j5gBWQUWXT4%0e1-}%dWg^ui94pl|A;UnG!rTCo=`{H)`eN1 z5^2BdBeBWRf(wC63XL9l)?evPC-8^N?7=>RzVYX(hO$=1xvLWU&uP$5&45WHpua91 zrIA7+CudWaM*W6Lmn`l)$1FhZNG394g;OZ2;;0wAXNU@yEl)!oTt`>vUBM-F&gTq1 zuO^7l8Q=aLZ9dIScwqWz`s;weI~A)3Ykm&F-XEq7Ofd7`PmZI07<`xGBS9-UtODto>y?$#?)h$}w= z-f)8tVvk48?g#6_M;3-E3j84+${*$_tc(*^Q6I8G*hMsBx|4MzP|ff8 z^j~p^QKl3Ay3;D?GYIDHT@7o zTC|bHv+8{*FJ#OVVpKRJ^_uD=S-q=Tfi2yx;U76(KzyuI7KezZf2jn;1b#~QqkA`# zIh7jt3}27H-P!>mHR}O2Hde6zOhK;`Ja2TbJxp5cnkBpkuy)%O;_SAfH9(94ij3N1s z&Vwh9%2l*Q&h3z*_LgJ_)npB6x<*pQ3Nr?!{#c4N4R5PTQ$ z{Owqf?eWTMkdk%ViKd=aF*Nq*@70(hO7 zvA^qhMnrge$aL|1lwLno(j8(h^q@f;(a=u@V7v@t0JjZY7dfhkG+4@RHXX8`nt=CN zlE8@_G)I_<7s}yl-f+*Y(<>OlNu-!CFjm$YbwC;vbw{;Qs_{Avgb*kU!Y+S=`^`%D zn>8NyWhPs2-Xj6nWW>kK!-o<-je4 z25qGbts}LM7*JM0u%^_az}7A&U>q4B6;;rGrjikB=fg^p)S`j+nc5=Eeu z3_^#59G}g^{cT?U$sIgn#h~_Al>X|E)b&ET>Cdk7g@xBW39@p2iT#0|Y=b5DtR%3h z-RNYNjux-XlH}~|Tu%)Rt!tP>+sNiWVebYts$1blNpKK8ww*VrQ}g3PqL|aL;|r7S zD(Z$ymn`6;(~gWPLZWL^IBY(A5!3vbC&bEe;ZBbhCAd!uO`wPRSE_(qQg!BW` z(_H8;(NS}@tP;*wWKW+6)i%4m4;c_T^vHBJCO@ivBDE|pddS-)22HC2(F70Mw?LLn*!vMHD@%XBGCi(zx*Z^MXAe?r0~HV2yw*a2v;EmG;UQ#};H+N( zXE5iw3)1@cYSJbtndK4=0^pNmuQnLEKLJ57$>M|m`k5);(v^?t0|MOdNjfBin|vko;bwS^KH^^TWh{dPK?(cOP$` zKHjVSo5OD zyi35N4T0pzj|^DaAUdnD{j?J0RsV06PQo4kx1g=isbf-Zi5OQW2l5vSqV8lzYo1IC zVbQjbm6NN4&4IGs3x5gXr2snK4SaKzdnazSHWS`8uRb&1v(bSS6@nb;KnW>mvl-8i zgyw>6HxWho&P4{S@RbWk;6E(cc6h`~&9{(}`zfy1`Wej_NDDZ9+LoJ>BN@CrS#Ult z8F1nunCH@H(zWePx8&gu#^*oTZPx(+3=g!4agfM&JsxauqfVoYc90Tf8v}h})VWYso(P%`YYm=+Dv$ZA%jY14*bCnBd zdJWVrcLr=?2;0tom#wI%N12)GqF$mOP7Q^SL+CI2{tAS&JFnnhet{0u zs8KdT_WGRi3tI@Yz?w;$^wAGyZMoYMfGnLwfe1{%dR2p+&wG%9hfGRT5X;sq)(bsi z5B+=Jg(Mz9o7FI3aSbTz{6-|th!$qv;@fsQZo1ym_jXM#2 z8{^!KOLW5l*iqdazm@b!oP; zwSqrJLc69;4wOq0d;IrD{PZCgOK>`V9MRqiD$%XO|hh7Z|Wv;`BIi1^k+Y`6sd-O&16g{OP6w0?7SnYH+NK#D20B z9s-N>=&A;?;>vF#4ZG=@Krr<~GmJ-7SC4}ys;9ss(zFkD_+Ntxz+xAB`?VrKaR98o zV|TLF27HQ?nVwBKsHOy+469tr`4g$1JX{F}s;c)as>7uI3wDaaj~yW|P1s_p|E9C3 zdh9%WuK|%+d;FamP3$wUu$dYu1)Z5i^);`bm2~D;!=L5l;Qn^d#$Ue&BM$xl0uQ+$ zL3hV__y5@Cu;=*zh@w9R%t9eRYj*vr$gp}0I<5od`9%6t z-hZ|tk9uSZqdeoKUNq1~Tn?Aq6@bMNATJG1N+R>hG`965PgG(Olxydqg>zEiej&t! z6xRCl2!6jP_17*P(KQ)Fp%Qz)9RweriTVd5bv`64#{I8>E-4V&q5*Z2c04b3LHV`3iSd&7 zFwoA64E_;8`%}pQfD90t_9vk#+}fxFV;x(G5$mN<;u9wh>7m0Qq7hmFEad$CW+m!k zvT0-!JWb!p0AN;Le%>au`ji$znT`*dMh_*N7*6NcuZ++Y{K4hkZ$17EUI9OF_UsYo zunZuX%DnYup|`A89JQov=v@M?r6Y$Du{nEVahcI?blF%q%WbUoe2h7b(uKc)ZTcLo z2hhW#I^ezpEjFqA?sgm48j%V27n1be@?qgwJ&ppMI*z(!;e@m3H>HI(sCZy}hWd$m zsm>2^I}8Z9xIY|qdZOpRFLPtPNfMubj*kRqT`9O^22CXcdr+X}&(agn?#Eb}KSlrg zA8BC`d^(0qVFvA|;!?WOVA*^GP3c{^0G;5`ct zxZq}(hUL(ExtGNUiIxT|0Mw404E0nmEYK9ul9F}KS+t)3{40%sCsw5q1YGTm=fU`IFfi?J<|;U!PzQGrEa z+3xJDhMU_Nz#%(j($$v%>1KHc!bH76VNZS*$?z70D#?Hn+X0>dI2=xK-%G--YXrbAY=p;Q)bnMq&z}~xyZ8eu%o;eWj89uUF^KZza50@OSNbM@8?KV2*|vsl+$nRx8)>&Y~&DBd$5<@LoM$1jfXo;O$K17 zpjZZ9EX9DYIL)Lm2~!=IN1pH0fKFP#HW~C$cdNB8gp=IRHXNU^eF>fO405|~k)VMy zpHG`K#6fwEJq^=fuH^gAqTd!66!5nqqJO0hSwEsd-m(;Ez`RbUjJoppgmWNgbH?8A%{j}#|wNlR{7un6&*pn>mAFHeBpMYbIMI*uaTkO?}!n z?^XemaiJr z$D;NC6u}RauS)|)Qye7QCJW>)Ja>YY*GSnyL-lFLD)queKQh`=A#oeeZJ<=N3Ee+S zPy;06&NWSD%!0jqT*VZYEe6j8>&%j2mnVXFw_n9bX{qY|cydR(egM;RGh7J7$DAbS`;OUT zbOj|Q-6t-HI#*-z-BJfWxaY9ZXlN83b~`6d&P#tBHtD;>{Ix6 z^f^i>oj`HrfBJD(M;R6=>Utk_>5a43PU>O3dVwQ z%mv7CmtU?YTO0uMJZnNc(NQKDNtT1L-*}?`6 z!=1J$STo<%AgguHA3WwW--aK_{Q^EuCNuyLV`K3M=jyov6IfBF8S-xJJVu2dTNv15 zyb~i;j$zg%4R+lKG<9kqQ+~w_$|V6(}=;~d(Et@{k7D86W22K?z9Qik`ORSILb0iFKVm_NR0JjPc z!gU_Kve98?6=th4BOXnSi>hz|2yQ|k+OEcP&IMM3pMz{%cz}_5z{4SbY{lfk?`4_p{?w=Yt1Xbw}gb?$h7f#vO8K3OU?h*4tf#1V4CJCzF{C&5s#p znN1+NI4JV)?;tFtI`E9JvIGwzGML})-@zzOU93n4F-oLXzjCX#p7HfP^QpIZ0LdzO z?ox776x=O2$V#fLTqu~h5@6X*s*(h37ew<9C`$}keRMh7D>V5fGup*IZ~({8k0nl& zfrcuAc(w)+=@-#e%-f2F3ZC9N?{nTR_##kxun?X+@IGRj#1(L0ekUtt-8K=wP?|VR zpZzC6fTc*JOd7=WR_|aM*9fEn1;bf0h@)QD>X0T_)P`&d)w;@6PNbvFRFI9l#@~O& zm+bfz`rWkhLR(0+6clD02+URNy#^{#rYku{=Ea|wBE7Q09l!G-=V!wr`c4&)#i8TW z`0j>qmKxtoqqdmpj8)4$p_T9yZ1i$$H&o!UWC@HiXL3!&-KH-PmaSM2UfAieLuh+2 z{EWM5aw}Cv09X7xN z>k3$!149{{&(85}?OWZwJd{Q0dt3F4oQOb_W>J|lD>^Z77^~e9120sDJxaoHLBaPh zyrxjex8FcthFQ6wGS5}K|A?obw1HR_^1=%xlhY#W?eY22_`C7TgW2ZCy2;v-idxCA z*w?ID@>+kbiO83U(LgA-_pxW3AKq!Pi)0@2L_MePi|RaydMEVaBU_RyJd`mzMFrigo6S86YDZ4Qga9hu+ArFG>~Ur>Xi)(u({wVb9L73~fgD2u@J9 ziED`^iG32x24FrP`LE|#e+T9pCO@5_G@QPD&?3hP**yK!5VRNVFEpY^xCB;9``Mc8 zg!kCcUfWgU(vLl*#J}TjT1VIvN$(z-8CTG?m2li|V>KWvo|cti4_$lM%?)vEAnzO8 z3bqwTL|oJ6TV;5ZYOu7wUjKN!_95t)yx+|}MVmQI-VZp^B71z`w4}%6abii33(;_9 zv^CT`iRhY?8h@OMC$H7Uq)<=`Zloi}Ee&*t%ye1b!`m<Sy?CY^!yEGa;e6W|CX@xvK66mf|vKtrtH~$ZT1B8+j z9MF`5&?l#LfFGWJkMVn?1^d>G-x+6@QEZM6ky}_?&s{Ln_m`(~Lrf7YJCDyIidWSg zs(7nsc?nue$5-!H%AOD~ezKjQ$b}CUqvd62#Sx(%1yC+92WER;&r~=4F5yri4^w5o zJbp5^c7*e7^+ERxccZEI)eGd%$F)v=)4Z`O@E9@4x1pXZ=T6dpv@Mi$?bai##+sYW zedloC?PFN)!NC;XpH33i-60>>e(kNVm6L9&Xv4p(;MJZ3)v#^>9OP(Im-X z)@9zk_xOVNpq5|9yL{*355Sb@`y@Icjb^Z5hy0XK>)v-al@)1lqFb#Mo!&vZWow7i zPIW%`Wx_sQ8PVj_I$;a&xd82LL3gtuE02%;ma*#twi)^-OV*R})b!v$L!4Tp zhfPaU_aqGDnVyO4U2OVTp;Je|Fo}CztX_JwLHFs)rKF(FkwivW0$M7F%_}1A0UD+>;^{y zto59yFoNNOJ^?(oh%TjPn1A!&6dBg>!i^u<0`t}GzTmAwojg1 zAwR5B^JI>Z;zGS|6G_v?iocJA%2`*K50YV@R>8Sq=>5_Cdk64J*SIYr`hKUmIw5+X8OV|dq&;)ppomm}Isuc@oj$@= zFo1;iLzT#`GvM6C=7pwMAZ&{M@X07Z8&IexWj0D%KiN9|On}|Roj*5QqPp?FdKw?( zdiS5K>098I*FIw2$GF6i;@9Ro^Y8XQTs~HWkc zDFEue9N!I_u+V3!Et1D8q)v-1Y~-nq=$ESvvl%1oySKB=CfC#Wfga35pp>`@F}O)i z5XPnzEJ?+an^(>?Z+?ECy+`n^wj?10S7x7d01FaPqmz}jdf`$bQe(E3+}#UfXLqESKyP=2ldh8yWh2GkX!GJ@@~!%fefP$E zJB8U7aV`%?f2#hy~u z8YrApfm^WT9MPZzc4jI3oIpC-mD4>MBdq}R;iJ8TV4WaPijsA>@sYiO=Y~cA?CJ}q&JyAE3r<;!l*yBcmrE(4+{UcDi_M_Ii+MZgWa{ACn@(B_Js3;D|vc6eo z$Qz#$BPRj9q4{17nbISXdQKf4qAgrFk*?8LhVC1&p^f1i?ckvZFkuhR_ns!)6Nc?> zz;uOq;}&+?N`tPBz8sDHaellb3fhUn%~0WXv>?_cJY)z7-e*+x%Ll2(S<*=S&OWKY zv!(IgN6*fGkV~=AlSuqIzy-iZ1J+%7?BJ&F-=0;^)O@;rz-zUF!~7pl@Zmnd2OGg{ zw*BH~wg2fKxqnOV-Bu%4``1$wQJE&KFB!%zi`zb{={*f(M}6=+;OaJzy^QPtFDM2rhyy!9&uZ)Y0@b5xAi_)HmOThN_;9dnJ@?gSm|-&ijY!J15g~ zpXM`G@BHXo@pG6oory;q#L)l>U{ZglX}e}Ws;;`Zd8!re^@4|Um)awt@Xo*3I@Qh~ zT>~@|Z8V_qx&e_~{zna|{FY4I5yNPh`y$(?Mv%7Fs2PXjE1IQThKmEq8 zoUYM?ANtYi?EVJtGi(5Ctv`MD>E+SxVlrtgP=3zWy{Ig?R&eIL2MAEF6QPfaQy||l z!wk~-^xH<0MM7Dt!!UNOo<;|oe>YQ@q~Fcm7yv0xaQ>V?0?-%1?8Dm ze!7~u&Yt~!*zNh=`RanAUt{2Yar)RhlO{>}19?YL8L|QnVOljcCm@icq3_?ePQTpF zGI18PPeDQviE9*NA~(;c{ziZWV8C~%<41wsMs~U?@(tAxNWiVt|13pfjd3KsW04F= zMKmD0-&dy&AB2|gC?WBW6Ia5_0GL$F2N{;ofh_m%8oHKnVaA%!FZRL-0RY|UKWbw- z4DBRjIdz^22Fv{V$Cpc_rIWReXypClXK3VRBnQIyT?)!NKH_uTz^Fs9d@=@**a0Jr zUB;#t2MI|i6GzmoDg*XF6ZXP*tIu_dqxa5UyZM0Tmn;4md);pq2EmqGC)cfEfPmdR zq6;Y5!uEMou3s^o3B?~5iy2iL;y{T7;fsZ&7lO~55}eD#Caq-6-Uf-}jg8F}X0i-g zhK+KFYpRWpRz72`5%x zX*#fZbR8+2Z|67myXoo|$_4}EDKkp?>_<5*@WtW+886t08Y~T*Is4-n&-WW1UNNmf z!5qpUf+p1}LsD#BZ(5kkcR677`G%-Ev&fs8{wL`#WYWwLuXN~d&;a%c=eze}pS;th zJE8US0aS8KAC>?@>XBA5i%5~{lprp-%@4)|x)Kbq{K%4FPXy)ccs^*!r^_hW$*9?B zv}&d_&8QHz7dlP=%^AP3X?)Mun5oJ5U}W&Yc*h_{5VQ~SMon-)x9wyjPpO97g#W$i zz-*31L0GDMtSP$bh&Jm#)QssBj|JaY$xHKmT;4qXoMbC@Ii_69$t6*W^$2gv2Ig>I6exgXoY9YuhO6tsH42W{@-DBWW`x zCIUkXCh7OD{b~ZpSppb#`$%NSoIhENf!J;Yd1@@97+09A!)$f8D5D%#HgNOd2K!Y5 z&XU5y;-ez=`0QZ5o&CVQMCI1Sk(X3|zgTHkCTGUnf?gMD<>HA=yVn}?U;;I0xzLlZ z6zLBcT8()=uCV26io#Cixpg~PKH>_d+L8RwkNR0(M0%WfI~>%PQGH8CEYx|LOuhh| zhRN*Z{kCL1!ohpkGOprdh1f8eEN+#_Kf4|Z}k1OPDMHCgi#!jv+pkh7Lc9- zCJ|3R-{W};Qk@%#iy56?%)030z9urCW^(*K+MOPE7IEu@z*~Xkzp|J;{qUt9xkPc85!1EW45t-e8eiC=$5g^T|K`j~h-~(u56#91|X*g}KMCu*L z*VF&>Ijx{qKkmWahKg_i&s8k<%So$BcIR7>X4ED5yvj^6zgc0RW$q^{&2N;{%^aeG zIf1IPYk*JQV9)L!sySL+7Gq{ZSsCN@I!;olg1{8|9=It|z`@dt$%-vwT>E?Isp&i} zBv7h;A&0yz53q>hYWs?fBmrlg4vda%bkve_@7&eyQKrexWAf zIU=amgdsosfqg0=RCWS3#`>>@>5(MUa}*hN2ulRuaeqc}fVy!iaxKlG01Y`anv9V8 zvlSqc$m7MDS;h959Pa{Z!5&@7wQyJRz)*PFrbIzHO9+a$Jil{ zkzf&Nv&;XH+t~oyZO`>f3q5dO3O|zk|a)0DUDivq$0z>hyV~6 zZFFzW)!Y~cQ_`U1+0mxUr&TYRPG83dLP8A=v!fzQ0hOHGpRT9hIk*27{&gD`DaV3R z8MPLW+k$PD_^R+AixU(3yZMzeV8H$K+@n!6JQ@5R)tjYN&>}8$e8W)Ea8X z{@JUv8qNBm6sF{N=}uz~egZ8qxWSZJaB3xAujhVRZBYOxuYGsJzHC%Lf1_4#TfRd} z3AmNjgciK2_;9nNhk^|YM`lf4i>&y$BtD+Lu#Fr{)JV>th(bR5UIAH60u}n`lizvo z^*bq`tiS(PkSLJsSp z`FT9}B;kEBdL47nvH`5A8FiS@pbq(&K4o6!l{y(~{FO6x%d6pT#S(PSE;IuMiD&&% z`$G%2G|E>Ww?iu;Yrv0-3OA!|F#{re<8gBbAwu{jxg!pi!fQZ{^fR{o19ml>VEcxP zUt>A#t4+>v=D)kX`Ss3}@Z1#(DB|RHX*<2xm1r_M%Ux`LkSUT&1~ULFN7Oj@`t^3?d4*%1F`109xj#xRqy-wBb3KnbShV(2q#B{8FD4S!ZGU z6mq`<>=m|dJoy)-wzra@pg+r(yC*f7&NvWgJ|@qEEla@V@e8(SWr0U%i8l%8+3vtp9nwKt|@u$@4AJJlpP3ttz^4j9g2wVd3)9d+D#jzckt` zY;`S|AEWQQmF#3ojR(CAan)6l$Tz=}ual z7LvydnHNt(o12GI7HWDVvLKB?OXSvP07S;F>TunG@WNzSH8Bdy7bEycyt{s=gn-H) zW|WWJuvPlFQzgTI+L*3d&BcC0ind!9X^9^JAUzAyWa_kuuD;zSTPBb0WenI4$-Vkz zz>#uC-uKi->eE%M1ZUOQ9uQhIu2EXns~ODwn=umk=EM5kj)PyAQUku0s?C`ObRmI+ zAogbLDC*0pavJ_m4Q%N9T^aUuZH#6xcrLqBz0Kb81xy57Bk zb43EIW8~TkH6dWb23*mYnl!UAxm7M+!2lskpM<}9AJE37FCyg1_4NfC#vJ?!?VdmD^GETm~(`s6%EKj`Jf9? z(_q;jf9y)XayDd-dXq0Mv?1$FpC`(%A$0z)<0we-x-}OQ{I~2f%=~`hwSRz`gTXb7 zno~~eLO1+2`~`fIleH5eoWc1Cy7T1C`;bj_8V%$KywtpC1D0HNf5h zZVbu5DDbmdh5FsNie(#&F(FJQ@))x{Z+v~m8Zz6Az9AL%qvOOHy0=dGO=aWZ9c?U8 zCHkor`mt69Q{m)QOi$^KkZWpS-3Obt$!t{zHcU+yqhjDw^s0|3Q2D~JC(!MB(w(-C z$gn|U;D*k--Ak){O}w*;0P*+wMKm*l#OS&QjlW|`c1M{-TUC|nCTWWQob48TzGw9I zF?{CX5r~}vDl&jMsx$muh7LCjo17VTfqz=ASx1-%3;IIQ5wVb^*!+zcNkjbUW5RD_ zKA#urIPq&cas!;p=USwOhPzMIYT6Emo}T```g1RcwD5t@6t;g`uoe&mw(fNtfxyUz z`&}}S&-wb(`QO5Q!e-%S|E()IzLXH4nW#13`!$|Vwmspr2}UZlnqS{Qr zGeX4v6WBn}xJDhGsnYz_iJyk9|7EbzfE8^6Er=O*N)5QpD@26m0 z-D)9l+c|#PSmTvr8j2uaRbI<+$tbZxWviDi4Kxtn-|`-_p)ShfqwlYyKV^Ie#mNwJ z{el zxNpGiZ1ua~mksJc=75euV%Q1^?z0m7A^tpsn$^h@y#RJAlc4kP((&r>D#e0eeTXCh z19ryjD5KQ5ZBag-!JhF3r@QmOlW=MD^jYA^*RT3Kl>TSGMHbcEI^}OGv172}DJKFG zh=(Zs%hi)-$_4L({w_+H zB7c8Hk>O}lTOUH5OAzTEDut*tQ{ zeCX1CyNn$Tx}Y!>C_lRrhVA_EnF>gpK?1I1l@#w(G$|`W>f?xj6O+_mT!YLs3wBQ9=}~# zq$>aIb>kil4Yu^dwD8Nxcjyfu88j3e>7lUr8l;AiMsmSs$ej#*$^!&8T)q~z-V*X6 zyHypGRfBScNx56CH4&kvJ~s23H_5o+>!E_ly5QFg$ZYYuA)??UplvDH&M0xHurjC# zN}G2sOrw+`%``C_RF*lxeA>co9h`OY6yRD5hz9hWZ^AONjD z`VyaF%2_aeeLdLz5lE0y~WRF=y9hJ>-r zov!f|+^i8xbs!F}xp)}(tTImuhoC;7T+hI%@L9 z$>4mLM`cv?Z7Clp$ty`c6uW^4(C!C5m=$n}Lyal1NRUosV$K z^FgZBsT^z)x!I7Pl>+iZ1pzaS&bNk*@wj2R%98P*YkA)EyhPV|s!fBsaUE|(Y^bF~ z$X>|ucK3m}z5eYU>6@+ct;Y#D*jX_d)=3Qq^H96D=D_B@Q1{*%F1}s5Q|Mh4;PGPf{aW8Mb{WP-G$-+5(aI;P_oEA z#XLhk2+WE90Dv~Z!8PsUL@;j286paUau&nQGd2wDI35IlNzA`j5Dy=8U*z)*Uo{Bt zqW(v*Obm2(`R`!_SSp(!MrLyS-)V2I?TBA{CgT`kNB}w6dnUr4YO>; z0?2J(_}@D;kh+|DaxwVr)->C$@TWxTxuS2p#UTQ70bbmr_0cJi)H*%PMPo^eGj84z zyTeNdv;6E%f2uujN9IZECY*KB%6v6d^+98dB^_@&hUO8jngAB)fI!QtiC--l=4J3? z=GEMPuFJ=t(6QIy4@69IW*f)Dk9mK0H{8{4_3~S23c|@!%Zp;P?bG%vjA+cFFLrBF$s-%Cacs}u!w$m?+wqqtDJe{5jp~S?3EN?p zA3qK?b^n9j#|<%fw>|kDv+wpz)*n$ekywn^7?vi+W6|2>L(IRM*)9iuW# zhwFUeaxd^_c`k-D2yQs*ZTELxdewVkdl~z?8RS}4tPcTlgSYjs`(8f;T6n5a#*^X! zI)G)i#Ooh zGb(_0mR=@S1fvkwkb5Du;cbPoF__AEsy-zyr|)^t$QYcMHff2<{20JhtWu{wlHe#z zXr+4(VRyNUqffr9j?D&svBlmn!KjP}gJHbsAL#a@T?4_pGBw8GW+YhzT6Nt326z{O>QKK*)adx* z*q_I*xtr+nWUH?-42J4(r#Qze2f&P*A!*&#BQ})1wbULXmaHgZFN1Q#HKS-{oD!d7~1U zl-tM#?qRSFXoGaWJi81C^HwfWR^V;^4o^R-#5)ncW&aCt)m?9M8Wg2SxK+Y*e(Xbp zTX95ROZncqwr{t>k{x*gT$vdk0;O1_)!mqS1pRIs8%PMm#Y=Thqt}rw5&aZCigns~ z1hUlNSi9?qqHd|_UiOz9{Wh`Bae1XW@K@IAU5LGVEp}!Na@plCFGW0v!9y`qJoI3)q+(l2qBcLZrjt*-qSQeTl!qewWElXq4l-bIAfzyOH zC4kW#NR}sUxaStrtiTSi5Y2+V0Z)`G{XG?O2&kunM*nR`;zN9Zo32@AeB7BAZ$)F! z%{IvyL}0P5O#{d)`5<0aX(Kx<2wlheMA2$Nm>{8-4fQe3aO~HOsr-(Xpv2b}{p57n zgthaRjUkU__28-k<;=KuSZ> zS1Wg`<~j}WjU*dLwBgEb^y`$-VzCw(w^WjvR440(ulde}2bNFsG-2o$_uKSiyVoB%I@@xRW{a*dOGF89%F*30vtFLRIR!juX`6hYnN47kOa z^REPs^CZ$#ja|r$4cK={JuF*50rRTQBZtCs55bEg^MjAZ?`Xm&>>C2MMuhnJ-F|#M zP}0xH%zVsVD@KGnybA7om?q+XB5@H{l~x-_jt{puEnjvMBO`l%6xJfZjhx0K<}EkX zv4pKFjfZcpm3zs#MV<+Jdk@Thg28;;q0SR141>U}pDqk&zfpV6g6<{^iw_9jEeG@&U*xj7wUk@i>!m3mOHb-Jc#s1;FhKw~w>je87-o(_F;{ym1Ip&rb3OQDGrRln#qd1~eMHRJeD z7Ug_f9?2ZlQg-(KzQhD2RWiA7>-f6G7YEvgC-%khXxP!*+~mFb`cianK)u$i&@@fH z$_fO}^&Dvxb_8-55V1o)MuAP;;=I)|4?_GwNqf*mPi>MSDU~}-vleOAH_X4o$YXM8 z{_P9`s3f1%Qa?}x(R4PPY2BhHaFRx}?csib60*lUF2MgU<3kO$5&uJDmv zhV78=6W~UuU>L}@|bWoWuNQwXMZndUHo_qi?j#h0@j=} zO4zhSJ@?1`_c}J$7jM&vIAvwzM7?Hf=DhpBXZ#Wax-o~1%L@yv!l4``11g1tXQ z=QZB(?85h%VQDawcWT05qU@iP;}Q9pqKyw|_ZCG;^7kqQ1ZrRmXItsQ5{<3Uw(9^Sae0-r+9x0Sy`_{@JxF+C>Ub1_B{Ft>m zy@a^Op$}LUxvRC13;5I+sikSsOPs;D`1{ZR#&F>$hU4m$A*9=)*00+c+{Sk^6B1NK zV;||Nr9?ejRRtU0{Qqx!>!5-8#!VbAyzvNJS>Ec!M^;oQT`-`2d2b19u;67Gu$x}c z6%r7I(>TTt_J$ARRt)0c0|}xdA5q}HtFzsX6Kf~}T=n;YHk)&$_T22IGlVF-|Baf! zTSVmtVtMc7LzZCEGFoM= zk9DdQ#VmjxyB%p}%hIS?uQPxJ$#m*-sri`h<~OFOaK;ILC`81hMx=(4=4kRXk-uA zY}%(Jeo1Vv$|RxYfGZOe!0ysL6KHq#yXpffF#5=X&l>RDff$ASG`d`rnC|_w_;*yh zA-GlcKzA$sEUbio+4t>kwu4VPGzJ0vd+o7rd?EF}-5kDHRgie!^TQ1q*BQxO(m|#G z^(B)46;Fj?d~>sNSh3VARn~pRNd82*8=y4QQNPGnB1hz|X1ed$|Dw=d8Yc$H!9u`-mKkINJ-l z1ObJn-x(n6kfj%kqe}Xi!QM;0xQ`jOz)slBJh<&SR9tZ8jSJ~8IxGm+s00D9i(5y{ zS$GZTx;`gRr(!3_B3}6!v(&ym!{N!8N8D-g1M2aUkL&|(S$@^p!y{s`N3ZVw?IZ|r zbY0Gw%F<{cK2DSei;0ziGJ(8Bq@_JeiYbN0+py2Kb2d2>UkebZv>LoiAvgz-o7tHt zi5CUw=qU$aZhQL$W6nOjfJ2LbtuF~EZ8fTmq=a)|#bg(&NWepU@M|#SyaS$;C~#U! z3M^F3x=z>QR#_wDd1dkhVr95#03h3wC-X44Im<4u>)?$qJGw~Vfd+Q!>Uixo*l-|e zK}tm};_Ks$AEG2QEbD~l&$T4X!4(j_0ZAvz4W>!ZPpg3HRw$xRu_uM_g5{~Nsx|ei z&OQ)DVnkWTdnyW^O*+O|L!Lc(REubLEqD;GZ-&lT>ix7J5C)kbn{O*m)93Do?l&@4CGYK+2)9^yr?3CRMpk;L-PWJcdi!m z@1Y=eT$}FkiHw}h1Nb97KNVe=qPj`DUis5XVAjcUNcaViwNwHzH76`-4p^!zGw+`B zf>(ofMKZySb{C6OeA%E@Sy~Dh1Hu+V1*G%RjA3wPclx^oVHO9qmVRnTq1(~-;G8{m z^vY!8Pc)|*wcqJRH#_p@W=aGi1w1Nr21Is*)SPfh)LFsBJzq%>m80MKarVM z9%gwBR$GFcryz6aM4hVNOlV<(>kI$G7k_AJ6U$Ybb^89Ps*NYRa%2JHQs<__xDAP- zAQv5K`DM{GiOc}l)!rM16ZIU+{xn6(q`wxU2nvGxXEe2W4ID)Le)2|le zhQDhV9v-|op^PrB>0pG&4}2PFFW;}Z>+5n-vFo+x(p#xF=srMvS{U!3QL8PW5voYMJ5nSg$+s{#Jzee~&aR zAPYC+p{(rQKAf4F5qVo)ebl_jnA4Q0%3cu{ny6fAo)G`3l68D>y5n7OW#N5tf|4i7 z+MgY!9%)(E_pYD*q3w^&6>aV?dpo(laY3D1lr;F<+xw}%(bAB~^sZo6dKmz85DzJQ zO|Wdt5Fh9bgm8T_LL}KXVlXPMGDir)IhAaMjWi7dM5~?*%6T<2H8c|`DB9dZR@m7( zR(Umi~bgXpF;$}eQ|{0=uFL)m1V??=%qx&Ful6I zPK2M_Uj@}#(`E)U<_%(52p2Vz_II@ItevBb=h%eqeocCwchY~)s_FvdW^bBi+b@Fm46<1KB4>`j4jg%qCv*PP7i9s1T(+5%818B z+qj19$aGCEDf2aVU7wzDyr%x>U#jCde(iv{R}s98&3wDxusI};VcU~7d!(hsFK|~N z`j{5=vAwT+hz(t!kfb`qR+eL_Exw!(D};V+rmr?j-xEsEUtA83P;{7V2S}ajU7Dhm zAn|(r2q=z6MUOuC-pg5b7c*ABya;mnvzDY$D^WZt*lxL9FyCVM-8x30kZ#7MvsoIX z)E)Gnz13WhS_&8A&NWN#tF@r_l1v-vTjkGEd*m`B4y{!lh_i|epkvTn z>Qo!Lm)hkpl0RVU?ldwYr8Y`~bJ8D|lDk2CZtQ7vJL<)rTyu-HQrRj{@StTKH8;f2 ze(VtpGTL9-W(cE3+7@?Dr>4$nNz(IN*$GIJ_b*g1hpuOyd)tUpju7-v(?AEdlh_zYeKj;%O( z)@>bR8d|R{LCK^YTk~2m?kc4(5&sZHB`+R_6-W@Pdk^#=y-l|=Z?t^Pb8O%%2<4dW zb-U`v0gCDmZ9rM*6GcVEhD%w^H>0C9-z$uXr+3lIul?`H#VN)q^Q9!*!4?c1{P~Vw znnLYPz3MpOt;{t1I_e40a(UP^=fC0tdu=XCk7h^kBlWZ7=Sh)m#VULTNgEl7yJq2k zzL9(4%4-o)4%aW7H!YcNx{C=1wa5?P5mJu!3lzE2d-u_lf)H^uG(IqLx`;JJnl1b_NtTsuZ^FToENH zC3~z13W=+PGpDVOrlhrC^#;t`mWR!b8VGB~IvQpxbxm0MeLXst&EF*Ty|Q)3ZxvZ6 zx9^dE{iQBlZpU+j1G;VX%8YgV^urI8F;|dTu&?2$d*CtK#uE_}H0?<(!-HV*230ebT-onp)07!25>%sk6l799CpA$q(=o$gt$ zJizItoao-{s7_WVs{oUS=dO928-rYyH`J-M2VOZ%3%|U=nO{}Nyw|TM$!zt9$4%11e5y`?Cc>Z*x-gXKt7D`6SwtS577Qzd z3Gxv)4Mccu9G&YRaUkb7#WyVGy#rWjT|ZfvF1;)4!Gc(J(_CUsc?1WJd2=0ixWmX#>13S@Q0~i?x!-P=0g^<&Z{qg)>HUX4 zEnRwpN8RDH@HdRGcH{ykACt?+oHSbW1?9@|bzJn8Ml0TjwC4CRi|_Z@l*u#tL@D%+ zJRqe$i-BlzkElqvvP=+_;pySb%nFena$6^_k^;!+4t*TnM^di4i!ny`urN=3n6_t- zKRV9G>UYzSI*}qKCblJG@{4pfqYke%)RK`0v8@IA)JTl5g5XtEYk01Hm0UHwi6+dd zVZKT)v$Uj9A675R&TV-l7E+W$o&Hk9F3$Z+VP0}k*C`Rp?XVKN)OE6lpT5nU-7R}q zR8RlL>j`BqX18s_wp>kq$RtLG4v!xCngQqay1PMcBwVnJ_Sr zJiJR1=E(srT8|#B&fI@l`f6`$3&a}R-F&6D7Z(=~$=*g8R&_!p(2^}}UMd>}*t zzI?$EJ|gnRYaf5?cauJ?d_&EoQH^aP;QaUN9d2H~|Lg$`#V6I;+fz@{e$Xt^($T3u z@Ll<|WR!cmZs%Y7%CMEqzIa@|2}CXR5?lzd@OlbrYieq0E&6}hQ9*ricRwAW86dL# zOSi}DdW6RW)S^3b>qovifuCPXkjeCxgFLwhwJPkjN}}1Sn87hkMo#H9_Rzq3U4kYV z!~vx(bi1WrFR#0E(ni9~%>chKZ{LteymtYIJ9rSZ~?kyT3QmC=)7W69BhHdI)OSpn`V?>|ZkQ1ooAd6eFX<*M@k#a!6v8P@v zsJCA83;yDEw6t`U3rX)Dy^M%=A+`t}vNfs>M}o3xW!bRi3JR7}OVlzFnNY7Pcpu-C z12!&@))LE!rArYvYeZWWz;PeV+D;o8wOGc|haZlo&b7${)@`I;PQXo-_n2z<6KSBN3Y#`F=&`e~J)-Z3m3QFZ!G;PArI zrI!i66262NFJ&B3*%JQUZPLdE)Q6Zk+QQDeNSN!o!lj9 z9v*&vmk3=DFEgok@wtx2zFZ%6kc_z#EsmKs#MUQWiA`ClJ8Z+IJhbi}UQX7_+Idh;22zT0rlf2)9_ zV6NYsXAnD#7}87$A;jU%b3;{il&ud*3ie`EmjxJK=_J|Y`fe0NBV@xG(UqQB&xXX8Z zpFYf{1qrA5sf`VZL7ft-z3=6d`@cu*939_=vw|l`PI6AW?*!*J8g3iOxLqgTb|>qo zxsAyZ!#`D-hgOD>E4|V^>`{oZFfQc$jw(}!RaskfJO<8EIbyx~+h_hhWpu5rC`}wD zSZja{x6I?*wlvo?lx16$YvOEapM>fdG3}P6tfx63Hhmu^k5aWx8YF6CfTDU?zNpL9 zYVuHCPVJFP*DP5fjr?}J6Mns(z(l)~*u?D&g6C!+gNO6ix*p{%>eD*;T;m$s(r}cI z$ndt4i%YZ|%i%zkR;2vgqRwQZ0ZcyMq>P%-<3xNB)(eU+2Fhmmzz*{%e%)!Ns#aA< z+|)&!oKl|ucHFAqCwj?_@NkA_0o$JYCfOzw_tdJqyz%Y;`2fJ)AVERlp8`J>E`>XT z71$-#v56@~Q&iZFLu(Yuc;5-tex&~szZ;gw_ral9b6hihyE22``t81VfB#zS%Rhul$X`Jd?@X2gwD1I?pV?s?UKP+ZX zG9NeD<}afD#8YfZ7)E670E5<$YU$jfn|^7(`CNk4di-V%d>?jT_87=Wvo))-Cv~rU zo^ckW|Ha=Tf_ksZ%ncrbQp6V91^Crtg8gRBQ8>Eyvs+dhB2}3USuXd0CQh+CU-~KX zcHHYnGC@z_Fx4IlS#}c+m}Y`RD9E3lv0pWD)^N&x_kDKjU~0c@(Gsa84RU7FMy%?~ z<-}oIBshN=E{$5}&lF|5Jh=?2>#koXglcPu3pH5usZl>PD`+a2v2W0Z!4A)5C398S z3s+n(J5pyhOhR@?RUfd?psg|>C_9@0lub=fPtVMNWodqX-WJZodr?L>uUP)#8n?f0 z+~%lchL0!O{ADfeYK}3hyy+P7miu;NRxSPVA|o%-1@BGw&3$2jG=(8Md-^xN41P9) zM2O$gv5d*>#2D2!q3PY|49hS_g@MqOwx#v`cU%Bnx4?PDiQNaK;CAc;( z1~)wz-<`#Xe2>wIn;d#cC7C&jj*Wrm1Cq7Hgl447Xr9s=-T^TA8eEyabG5<(5Zm5VyaSRPgC z47b*HpV%gjs0mxqln4yNGNGC8^sM}vyfVkT2D|u(^$gyvFu3xo%{+*Y2Mw$psGF{= zA4&O7Y%>(R*qP`Cs0hMjO?hBL+Adc$#=_Yu1;vPPt6}TtUUMO%D)uD&g?;%l>eO|5 zL{s-VA`NZ8oOB0ikYDQflsT6QiLw+|pZqZ0cSM5g(v+0pe=D#4hy>{jZElD_mRYltOpMtoES*Fb=8C`+wa-pLZdy~GwgDD#4i@QhvIcj>ucdjSO)CV z@v3rK!wxQe|3}t)fMeZ;Z@`ai+1W&dBw5*ehwPmZ$zCaYmuyM)-g}psEkei+*~unb zX85kB_y7Nn|M7i}_kDZG^E|)b{k!k$IDzC}KB}>hhLeMe z7H}X-{KCRQUGJz1WStuPK>)LO?_hdchGYBFLG4rD&V>&ZdZ%<(-bcm=!cZ9?gCnX2 z9|vWn!@%Se@vAR?uIAnoRZ@>HR{3XeJ@Y)+UV$g*H{YV5$t+BhI6_3#&BOd_PfO@V zM8M|8i#6$?Zv5*`PuWSrKj4Nt4X7~xvMP4{w5z?W$aJH}ody9hn(Uj-aLFF?s*my% z2$swlT8{KXgX{#YK&Jsg%w~6(tQm9~S26ksV`NaKe5Sxr%v22>9if+-`GI*UNUD_E zImGVP;G3I>_udR)r&3waqrY@!BqcO!>n8#_qyEm_vdb;9nAsBv4w z0ZM!^cge!##o%+3oN*9rWY>2b_wj=%7mv`}Cte&)T4s?0ZzuGv;&Aj)*Sni{$ZN+7 zi%I(`(bZ*I2RWw%+p1Vb4cLB0DdCf>j5L(JK8#YrjYF~EP8rTJN0&ASErLZyp*#&P zs))7G$@FX%<7d)+>CGybz;17BZkEjENXL>JyHhp`?D#u9JOjg#q>_h{Ik!4mu*O84 zq-W3fKu%l>*UY@CaP_Ix?Q7+7mEqex#2rdt48`)RS^%nXkfrx+=X zs{QOlQNh?f9Z-t6S~(;>e8I&fq`6>VNY^Jlundq|NE3Fo2>2a@x0B&IRYc*B5pTXq zE9$m*P90P9?Hxypz;?imY6qg>p&y_A0ZJTI&>8YJ0>1s_>+(b zvcxj3zuMUy!olhIkQ%zE1pn&2E3MrmjE6r_f1+e+v6A7SFTL8=K99jYoXSZ2Mivea zPe0T<+sUlky|CyW$vzypezX14rc_U$RvEHx!KBpvFE&-{PA)5ICMSy6rkPLtpJYm@ zcABb}z55erUa!S!U8~nA_1Sb-iF@Ibl-P6b6xoj^=>2smUzwe>?|ze|)B>TEUeg+X zEk3UlPz~ijoDenXIH${$b>abqiTC&?ng2N0eWhL>4 zfv3=>lU9wKhleUkm#&&mS#k&&=psnM6K6EfYS^(Jr}W!!0>AP>ugrr!rqANVI8E29 z>BY(Usb3!sq8#-yqC@NQF-QZ}taf08-8<&jp_8VC-znEL&x!io5&`w^lB}?Xh^Bu@cGxE)aBnSXWeKA#M0vFy(M51~EI{Nn zp&XOQpmEb*sU?j0*|Cdp17(W0IFvzxf2uW=AmL~?e;GJWHw4cklVu~N+Z(lcuKpP& zpVMMjmt1ff2PptN64me_TT2a=p9c+t$F+f@=b}WBS;dB~hH`62(}0Zvjoa)5`FH}u z^76IbZUQg#`pLsFH(n4m%M2ElB;Z1ebI?=3EuE$d9&=DsZ^u_P`Rxzcij>NJk`@C| zq>R+17AsLiz?;i*N0wKqOR~QhE5zSlg#OE^jPdh$+S=U2FPOB;Dni}f>v3mW+re>l zbNT&z&#ksQJF4^+gH2Yp9F1BgSlShxZa#Zu!Aa1kyI2Bm`*0rL? zLCF7>R^6SAU(WSv4r($L_`4*sr&QjE_bLT9_P$77iAw6ih^|l>L?)z~IxfHWzK>8c zbdXkHUVcegMq!m8_xL^-*kZYOY{g$@)gKk;as?lM8xrWtEg;2nz9o2T-N3XtL(bHM z-<=_eQ0^Xnu+QoKm7~B-_5|1m&+JEqKyO>6U@u-vJ zH<8`HvP=l2!x2M6jqfP&pV|;1lq??n^igD6TK*MH!4#vXs?APK_K*e<65uaLe;uJx zhdDS0dINzQuZDr(`uV{djNdTU@FO`C{Y@rR%6$K56((W`w11>2F*8J|4b78cqu&Tk zyk#b%&In_hfYvnQK5z~0HqczPEiEdemJw6dd@&N#cY4+#8hUK+&Vz5yu^`RYEaEY*{xWCiC>oGG- zvB+uDxm$9aS$sE%LN&cwuZ$9|o8^3x6Fic$5Xvp8hz(bNTPr)6xU{K=#(WE{C7_e> zgvxq>>lwLjFY;XC_6>z=9UiTy67^bS0c_qb*tFCvL1vB$ujIM2to1cFAwowauS=M! z%S;=eEql{3{PR9J6bXIxe}7%~Xq;Vs`FpzVD$Qlb6pO5YhR?j~8zlru{TBT8GXa)2 z?FZDIhQf`6-F{gQ13hD}gTM-w`Z10(%njJ>hySG%eI&D;-D74c=G$ayVWBq$$AhHA zB1<*(;$2K%q;Q0p^3YsE;IwV+WoxV?1F!uoiV)~w0^eq{Td1TYC1W;xDUai~3NpVy zZDOWyQpm&h&nB6|RQOCc_Uv?q3faZ8xLLw}35D*{e;=E; zJ^Qh_xp~Tm{_WdzUNs!G;`jJO+)3W-1VN>}Ojz=3ymN2t71+ONlb#=EVa2K}Rx)28nouXr4j>9A$MjOAudrkR&i*mfOCT zL&cckm>Rm{LvBG5b(slHv5=LyTE~w5%5-uxp@*?Kc# z7K38M&28~k{=Wf6P(_$n;h+7^YSY}qJyT@_W$LgWxS0nuPm*V)>IQY!_wVC^H04=M zstrPFN7#4U^Q9@`T?C9;x;`%6Q7$Swo^(&oE|d~8{<=EaW5z?{U~4~FXXz&JbC9a9 zP$C1@7zTb}o@msU$}(W}y_Clp`+-6mJlOOWCMWvI<^29)+r)Mw)(EHBwO6iv{pIjk z?St19-&YtynR9}G-29&;*91cXq1)oi%`ZVTgA~t&GfR6H>-;$WsFaq*n^&62e0-J8 z$^)j0OorsTHGPsigjQig-RC~Hx(0aZqp?3@eV>>xa{OGU_YP7a5PnuZ>sBcy8vK~)rh%6u)7~>in^t5`72^As@;6x|c?g5qG zX~x}CV;bcjt@MQ<>s4!sC>0*&wOLHNC0Wzk732Z~U#7Q2I~#4(_ShfrCVG#wR4@(A zg4H^xrxEn=e3NfIw_SL^i!5~*m}r{@CgAoKV~h&8?{^nvW&Mp(m)kz)N0iSebqU_e zbG)t)Xe*&(?Q4|bElckFNQ0BN`+db!k8F#E^=X1q;T&FT(D%zSsNcep>M}tU?%-sP z#6)Bdv()atxSf}kg`)gvYb!`!@d4j{kB!y$q9}!WL%F#fIBEeUU-|e()_I_#HC%9( z5cQ?I+|$8bIYGKt_xfbmt@Es(vI|Bf47Z;*vt-|OvRb4>En$}7rl$yavDlsNH1JqL z9r3~U;@tjxy4vBzN-1SbfzpcoxE5=T#{pSc3hM7rX0|?0+a|<&MaJDvYQ2K3KNx%u z)xyeH$rW1>2$8^n{dz;8I5b4eq}}3{K0h#^?OBMa#h)*&w;ymow+dP4!w%#$nlYQs z94R8X-nFqu7|_Dj{Q}ZQ7FEDBcfYtGiACkxUjUzc6B{!o)Ln;gi8D=2_RK8f`#1r6 z23DvZ4{gL*qma;19ma)Gk4)41!8aduCgp@ll&9Uj?3E^m(SA}+s+@RD1z~1aytd*ai&lflF3Jr>!r+g@B2F!|!%1~aJ+zKg+M@VAlX%v-IT}Py{-x=Jj zj@M_Sk~M9r(}`qSkG-WpJY{J;x=Ck@y}aR(MAFGX<-aS>Y?}3|*3fE+dt_Acxns6$ zyn;Ggb_55e(KJ`FjTBS@y+{;t=`AW?e^F0!OF>zA(;vlNlM70IPL~3$;#xi2s#>Qj ztew;%WNu_se15vhq!9MBsNbCXSf1RSglcWfg6BT_WP&p{3Ps6FSt%4Ag+@_(@1S&D5zw4l>-{L_^KTWsKn4B1GWRUdh zav26Pd~|@VaCB6duAer2=4*H-ch+-fE?FqJ!vgo<6P% zx;9(Hm@kSJ@Kj1YcFd-vsEm&PX>`Sl(vEeh$j>12<5Ca3bT=8aG7}^+(4$P%eVSiq zvp6?!DKNWNDlN4e{s^WD+bGg{GLjjlKlV}I{_CSjcUR`QC)ZU#5# z?nbdn8(l~j4DuYx93{Ddz(RlX_3M{S-ej|AQZ%#rr%FA!TD%-cx&@;0o_^~MzDWNY z$@w+!Gnb?(1|q37{uv*&Z)w7-0Uq6rhVM*2o^(+^XCe-LM#B|JX8>!%SCDw0Oe=>%9w+0Q))-}RrEUd^NE}KPbTOsEbW#Bv6kA+6}?*=_p zKSQVOk$Iw5q-e^ZeTLiGt|j;S#*vImDIaxj7B;$n!)(OD=AVu=D7lhDwYL`~ z6?Qg=yY9&=74$SUXqrAsr6B5yZ4IS5chuJWN3W!x!<=SIUmqIu$dE`@$;8v{xP?*W z(>@a!3y^0<%lT;Xx#@OfDr6pC*3W=^2tC$R!(Zh@PEh~p@JQi}>9HGb5t+~>R<2fU zS=n-(8$gv{r0F8`e}MZYj4@0votVq3wIDiFL=K9;xIVu(We7vhO;AIyN9x+5+>TKR zyk<01RsSPQJTHNh2LCR&Rb$KB^K}8bLUHn6+Os6w7>Edh2^ce%4g{siWGQ7Kg~?|? zqoS*9@6%i{yjZm0A?!&axv#(+7lwwqklFgo&(_V-i;Zf)0$p0?iY_nle*9g{e62?E zt}N4LwBbdBF`EsMLT?{o^0tB0pU-<{i9KUd#SD2lz578VZ=wnj2r0Qj2UV@$Y?fFn zAVEev@5@_NO%64<>gtkX+)(o;W>nZ%`;CSu>ECc(C}cK5IrSDJQibHT!Lz1d$?82K zgdIk_lBb*2&)g8%jzL|v$Y!LO_n?B=q*B!KuOr$7TvIRn7gxTKTT+l2#-`>6)Dl3RO zF6nbWNyjn9q_f?)O$L>=H_kdNMubR7V}HuJGM|+CH2NC=53d6+Z+dSl0g0p z+0XgxS&oC|>6_OQfC#8^v_Z{Ei#7C#Ng?TLI<51l@~*tVL;d>Vg7M5Ht+JArSuFD5 zY%v-|0f&iM&GVS1jAH?8d_=fd9h|Gan|8);2A5w3NH4g}U)1HR3NXj4=f;p{?;ED@ z`3$LMdF%xyjMb@FQQ7if(#Efok&q$iAzQM%6l{aJK%*sv_*JR zIi)=0>rPOVrH{ctltgrY=%vF(AG*GLm-zuf3g@A?JTtJaxBwwz#+P-jpNiN(r9pUS zc6rBN!PV59UllidDGWH&mxUymno4!<4IaE<&ZOCWzoRS>D(6Y8_92g(#_yY<2%dJ@ z0^MEZQL>V;_5JT-{NKk7c52-S~>}l;&iecUy!Rsj2E-9Wxzny9L zZ*bOow?Z5)}uPk6Xk`^B9N2m=ISYiOcc@IHV=sFELr1$*MPRpU$73>xeuI%N&Z@dm{s zT%=sJPqNWFlq5oBTcTe{(Wn*U_f_&y??BNSRL>U4w(RA%wCn-*K!xw-QteV*BPaD5 za6O-CS&DQLjH4>ouh{_27loF(fjbPup`}lnJ;#c*K^NGw<}4qlc#Ub76x01rj&P9q zuzy(XV`io0b|t3%EVdXM_arqQbcEdf2Uayxh)gXuGMv*lmy5&beU&P8)QIe;5Qn}e zf;9MAiCH<#($6brvIw&YZYV@UrV6FajL)li&c@Bs5%Rd`Z;&O!;j)YVI6t6TWzvoe z!N!+!lj_>+<2#xP)3iLls=_^XR2uYVt}Qh$jLapx6ah&iz8~ z+D#~!b=~{biP#+w-Z}KioCS5~l;))mao#joS3m+B`{-w zWPWR3l|%GSx@FJh%~{uV7#l-^i-~&EzU*?~$ek^DFsj!`&g8Q{I*1+-21HQv_dZ{F zSr5{Yx8fA<8-Ch_KKfGAW0LInC)Y%yvC*g8U#pP>rZ4f{?|?aT`v8wDp~TWXTK`N+ zlLry&T$@@(Mpi;9$Z9!~1VpD#6E9R4fB5?S7NH)E8{Wz-MPQOC9ibUD34 z#JsbIL6;6OBp}zSUH@zElOEycOzrwg|5w>Ex%*U+FOlrFQAE3;=n6yPTP3xn%#X)j zC-d{cQ^RYS(TvN219RqJW~+<*UIqRxEpWocbG%Rdlb(`5uufzz#?c&>Q~1~u7DnqJ=|l*$6?&^Hxr))a*Jy_ zVF7QT>NlaUH*T#&!}w8|7ab_9*i=_M_fD%A-rAe86G=7&_{yH5%={}<@B921m(#`< zwYCfurh6e|#Ttf>6mm%YbXU#4e6u)c54?_&SyY6L9l!kY6oj?5Ha3!BZI}`aHMa0| zR60F-CM`2~*UrD9_=bEDU^?D;+&8dx`l3HpzFx-tquc13qf}+ZV&;6@ao7z-u*SVwle5Ueb2tIvzY^nl5yMSshP&!T5)co zMys4xlTwg+;v;NS%WoP*mb&a6w7KhH1t%@WB5G()`kK>Cvv$jz28!JUZP(Tw9r@A~ zrlZr^Je_t9T9hCFx{`IG`P_ivOQG)=*41Gyey3Vbn=gBDFj2gQbvL$tSa zw0Xi@qN>2|wtOA4gFY#wGlw2wLeZ7|qKK<(!NYg1$pbO;{W}`sv&rs4Fdbxa6O4UN ztF1?iXN6sEoib5zrJ}{UBOx;|BqnWi_!z`{6jqwJ!H#NH$+dc=DhZ9X1G>7aP7N~_ zRe|}QtZpb0Y{X#!{=myN2v0$24!iC9{j*?_aB>a{3T7I7KS(Dcc4wRh?dMy3etii= zijQ%f#4kuH_=YM)N(X7NTkE7lrgkfJcZqnx%D8I$t92t2(eYXYYhLUlCTaYK`|(@f zOrm?Nx*h5ur-{H?|1t0dxYJTH#M;{0&@`_rOTZeYY;^8Xt?N)1xuh%@I0#34vC44v z5#}>&F~lJC@s#yQrO185i;g8J@9|Ui$#kP|YMp3Ct^39vmx|(JXaqKaYZ##`*a7qc za4syrrEWvs@8?!saMNiTQSPsApS*m?5H(azA8%eTn7Hk{o6WL4U#Hp_glOwJ zu!=;*==t*9;P&-F>AOG6dOK|m;~ue*c#b?)V!mISNAvR@Q@vp_bDhOVk>d~n3|uxS zlPg^F?7dq6va`d(dp&nDM0VRylayB4uXBj3Bt9#i<#4&>iA}qN7VC@8V$AhE61ZFk zpo_0TS+xjRk42!3+h0PMY?~5s>~6c^9Wj@z-@<>Npyv)8Pbj`{c7u{^?6XFU*-NFN zJG7CQ5p&AQ%1Grg;hiQ;0|T#FmkGQyJi#zEStLZv_oDe(qt5#tw%JhXGQA5JA;&iIUqP4Ys z*!_e4%u$|^xCjc+7k?6rfg)WP-+*^-A(;KN(e?~$v(#2TM{PZX|+<9x3OBf zt3CSi7dMMZCJSE5Jsax;4Yn}(aUF94Lfy0p8wD-|{|a5+d4`U*cVGa7hF?Uwh42T;v%-iyxc= zS{zF0BJ~YA;btOt2(fa~HiFg=AH0qo5Fe(u_W9I|?#vM3woMov0%Xw;{X&^6!|)NP zDcCsbn=}#%(X|eIr-Q1R zQDNPAYGJ5}Gl5az{{8zg%*ySKr(3g)6I-qmR?i#jp3j5CyhVR18a zAhc1K6VGA%WNZ5^;sSR)VBx(ydCcHUd_4 zMM5o#E^UAPx1h^4Rc#F=Nw^(`@I!4~Nx3hXi?w8ng2gwphCNN8lsKVJzq=61v!`7x z6r!Cs8$_mvWIr}+P9;O6Bcs0L(K2?G5GK{S zcC^=?5$KGeuQG}{qmKJ1E4^Q%WLkU90B-4u5Qg9a22i}txWZF_h5|1yVMMGVQ)AaM|3ePk4lDl4 zA)W~O_zpqe=r#%Ax6Nok#Bkc>YGNsmHjF)b6|e?MntN88Aw@Vr1o3Z0^|Z-T>-d6x zN{%wi73uk_G0EI{!i;w9wZyHT&-#;jkt%MJc8Fa#)?XI)pgP)7-UKdjG~x22ep&Eu zs(vd*+DLIY@b!iR7F7z-0ZMPM;nkc}^z=gT9u%lGQqGXngZ=&bRVe5LH1GG`6B)ev zZ7E(-QUdC5Ae33+T7dj(PE!c|FOKKw!aL*HjXd`{$x++7BB&pDx)?FT>)Q$66Q)Vr zB7FNgj9v)pB#@Wb_IV&pIKz8iA>O>A<;*5yu+FT97y(U?K4KXat`q;>^%|7$-i{O* z86M{HI{F>X-mnHr%`j3mo2BJ=&TDL&3a*k+4g-4_F8eb@AvMyY!B4Qz`qwu$JVCVX zQQk;i!V@9;DIP?kxL?bd4Jq1Fn5j0lee>Td+cZ^0K_k-m9X0=UaY;E;Xqr#ThC|{7 ztkauP?thEHdh5T%z;KcN-^IwhzvuoJbY&qf>5IQFyby3>D8-`6CD0@d9^0ZtUPlo2e|NxHNc;cZ z0bbAQ0fES_1e6(qGTaLoRCaV>)f3IcqYUQ%zCo>4i5GGeDa4TCrhOc(-(JkXG^xcs z_od^TFh{=oCME(bZ8W2H#hZV>N5&`vCIez|*$|be#JTq&**~VHa1c)_>S}9ir)KHl z@1&ODH)R-55MZkEtScw}Ezvz-=t05|0f)j{%($je8kRSp7dyCP*op+fteXDqh2j7H za1taQ5kIz$pa?e8?Q8FK-E>i_%4|2+Nw`y=GR z0^vf&)!$W6ZoSfJBuCz-nxd`krt#%|0^F62+rQ1A_`kdPO&~IWA!JuVrg%>ye%T z9UaZbbN3W9%*D0Y6B5`SOR0Yc*{EWNJK9eHU(BD+9YevA?MJv-4V>|N)q#F=rpyqveIkuJ_SG|__rcK zF%S5irSF=mH~Ae>r?RL6J&=cjNH=1cCZ4EeZ|3OcXNLG*iBnvN}w&Xz>_w( zx&y;FZ>R`--f}(nZee;9zve3WaDk^8G$8MlfBLnS6InaG1=~aP{C5=~HuEjd5*!FL zu0RR65!l}-U-boTNeWUHkv8sS#)a3W|50O>oYAjaY4VVCYqPB7P zojwZ7c4$~wWWadwbi!q27GF^s&gGY7+M{fRLF=^KiLlZU24ihN7Z%ByIq8 zN_YeS(2+9ogW^|)IdjEQo%9V2^mvjPFg+2v{=f+%#VVlZ;?TXtv@>i_>|Ci4U-xap zgwrj;-BWK8S#xemQsE-xXCe#oN~;EJ?CfCtdN-Zl-yPrMMsKkSSzXd>$K-e2i*<9J zn}1IaphEiDv&CqpN0%qv;u{ZcMHLCi=8zoshqQvb8!iGg$S$+-w2DN7=gp)D6@i5SBA-X6+F3Zht#o+n z;7KhTgRyW1_k-zt^>lUlci%bI8*;RqWRIuO5#j7y_y%+=z=1}zadp!mF9{YUp3(a1 z@}kOekk(zFqkf6FOjullL}e5y64LzwHS!RmXEqWXeYY0whK7bA(R1M4ajy(|D{!<~ z;uNh!j?XWCP>DLL`Nq?EEJaD~gjkQ}Z_PCuY+goUxkw-W*__BRHfZ*&*)Y-$**7UI zDk=i)pum$~ zo-QY#LURu|rRPpgpo5Tt)Gp3xJOd{oyf)!?+&G`*=Y4s)+6p6tqvXxNae_*zDAn!q z`V}hNU{0k=&_d2BNAg2CkzzL1)~BFTZTe9U@e^r~)+>B=KVw#AXY%)$9dFNCR8b;S z#7>uBws}=m)xqg%hBz22gvsBNy$)>N%T>Qi%$rl%x<)nN>C{*b#|@rmk=BLYxMNDY z8GI{aa4?Yz29>0nO~g*{kAu)rmuD(dX!SN^ul8mM&dtz{vbUC=sRbn z3A?$vxn027Vg<~C z9h5_X-&?Rg|96Fdjc(p`+8${Pd8lApse-=sPWFRyxLOl|Fe3FAA?2R(np`s6!}!a` zVhxNeVMsDj46K+HPlNA;=i^82aHKhDIvv$6JhxM-^7wmXJUCrDNp&-gKb>zk*4a;w z&(2=dwO;fu?rHH|SO>RT3sK;bY$|it12u|b0){G7M#|R- z_T?J=Dd-FK4;ia6$E;N&&E)pEubW%l=sMb~f^<*C7~jZLm_bK}u;ZHs&$G;rE-3&Z zCcfw5L*WF}iJXX^#YMCR}Jd_r+vlx&I8EAP5 zg6*h?T@j?+`{N@{9Qu};A0MGpZdjzy`tV)5S1TQ0r&rzv>&o2f0?Ln?g{e1y)k#S? zZ;9L(Q%V!kzEIH(*tb3#dBlPK3jI3S;q+wiHR8tECv0S6J8rTv3{mT&1;^8u;(u4U zmURR5343IOV>6bk2F0lRu`Xyc`5b0K_%8m%e8*l(06ZT>e|PIHpJTkS{Fy@EBURkb zml^nVHnMQ5#zCaax$>Fl%UIP>kd()K1%|k0{v41a>MPh(MKjOPS#Xi2D^`N>#+I7< zjvx50wGmG^^XER!S8n9_|XMQ0rE7sB0!^OjlQz@8)%A zT(Y|6ezsl^d~${yXp}ZTGBUCQ+O#nB8}avI$4|F){`SLK>dAU1%ht#tj13q|joEQk zvjh7Bu?xcVSfWlFiZEQvl;wjvfZB7PYMU`ugaB;u;LAX8sZe6BV>|yIfA7l;Rp7k! z#i#Y&Z?-{beAavgz5=P8bMxj+Y44lLMm)*{GZT&jf~&Y^ecDU4(+(-$!~2%0h7S_= zOQd8&%(97k2lww5q+UbJUu?T!`Z}+sxm{~p>WR_bEaxVfJNE&?Dy7r(g#b# zQBX+ow&(vfZs2jO7KakeA^#bfz+)mzK`7m@Cv^xeZO*X+k1u5_$ueD%*U>pppZ@H}$7kdm zPiA&EOFC@K!hR9agv17Q~!v6B~zAGt_3Je6`Lm8SA{P`@Wb_q`7-Vl^|8-e`97 z^lY9|5+V0I^Y))pZx*Hx9Qz9dKKkNUf1MB# z!ZL^7042lxWL#JMG?hEidqH9&9tSH~m85+M9DcC()XRI|^4MEWevOaoWDL4N$YVS1 zQ_9lHigotz^s(>Z@WYhkWDFlR$wBd$JF2v6=D~E!$1UHWjp?M5+_==R{^d}2TyYNU z+r|3PbsCCKn|N?A{Q%1(_pk8Uj?cI+Mp&&&5(dD?s(pZyXs^afbaSSLa&9i`qDx+} zi1(=!RKaNj7Jn>u2a{?9k1QKniQ?|*;`r|th+kL_<&+Bnxr+4HQI8@V;JG`|9EThK zy@qgTy*TQo^#Y-I1k6ZkxHy{rpH#%35@UdeO@$OAgwEmnURP7L74|kZXCRm^ynDOe zB7ru@nY3aRHq!Q9H(dsw{S;Uj%dzt!8o-m5mX?gfuZKTuz)@`3C@x`ENu|KW7z9>f zYr5`HH01A~NmZ1QVIV^sX#v0I?|f3fmphDQ6pWANKPO)>>VFF%0de$OoZdmXy0_cB~4>pq$L$IP8gE?>E&{-7OTtgtlMDH zgNNb1td=3S;~<+~O%^Vj>vHPd0<0S>%bB-W)uf2!Kq^Fa+1K)ngqLy(Pp)CSTFvmg zOtvkzwzd}Bsva%XfnLcJK>y(!E$+WU@3g=y%u1g%tB3yudE$L{(ws*|@*ZJ|4FIox z0Zcvy!tAAZUZZDdau2BjKQ;vB^gd;}om1Ir8_R{-9|E@RroZW^TEgZJOF zW3{XLosB}(N1{@G2fpxcK-nS$AQUU%B zSjma^es56J?&Z?2QG%uZJy`{xF66ZG&36aP8pN;Y2o=#kTB5&4bvHfdAT)zyvcNkp za4zcYNpouVWH1pKP+b1K8lX0m2{{U=i0pkqzHIr)8Zs8Kw}*+Po5*k(kb8f+=(J6Z ze%Uy%Qa-?{=^DQ1gyxj2U{R0aOda_gA|#<9Cn1z3#}Sm+dXJ(MWE*0b7VXsF*$_=(0jr9PpN|1oYyTze(ieK`h>pZMYqcbz!;NZj| zGWcxrL5&55^ulgGpN3nE@<^bSc&MoUJ(D^(*aO9qn{p`w8<7WMGksadvg%5V#H`1k zJXxApv2w0O4D7>x`DE4;?JOh;Ta4P_lca}uTuyKE{N$tuG?Q`T9z^>6mA(^KgaPLR zLTunP-Ps#|SAs3FfY1n7UJBe6IEnul8T9ML6g9`van?e_pdhf`(zn14(%&g<&Wgz?ou#+8Wc?;mi;mHyBc2ku)_ z;jIHiSZEJKhHDVhu!I4_eRb@24*hB?FsSSan=q?Tdroz^&}9c!YaVV0`f4$`BPQs<gdl@UstgFF|^+XJ)4Hc8dIQOK=)hZtLsWN`JM)0C)rVEN_#t^-2r)W8}O zxUvAETiux#y&Om8A(0r+{|CE&u1K>$44x4bs(i+zlZn^yMBMy66#U?@0M@P%43f7P zoyHrj?F>&A5e<*7vtevlO%%kVi$YVaw?T_$&A zBQpRl42}?&d2cKno7$WlP%f)5ZuOn4GzVg24-f^Orm)`WAJrl8;*4d8DE_{EFd%UC z_W}rVaM;vE2X~{hyb9`^Z{_Z-M@ZVA8T@czL5BaUY0rKpE<5R7%2?(O$+_`!E1F6yGO^XIQ6epdFe z=df%56Aq=vtjDUNv2=H-My`(PT6y{T=Upa{^o?S{s6m|rlH^AD3A|s4N;Gqvaa%N_ zk?W*6=%ifl;B=e!0sq_hAn6+zN|>n2kM`y>L{GPFxT8u09ZI8&NgtYUy7%)=(D)n< z8`RqEoq9uc#~DyDMaWg@{qq;;)qy8Bt~Bcb5IXidwYZQJf``MHjK5~EBjE{#%jLlE z3!toi2Vmb25)y)-=I-?eW3s2{e?fl>_O>6Gp>VSMo&bG^qFNvd11=1SUCG%Ettd3L z(<&PNg9I<57c&i9h6Y9#?zki4D)_a(>#BYrmF4}@?Ccy$46#FI} z3%g*nSrtZL4`k6@{g9;mB@bttIfip7s<$)BM{FJ_ecf_HL5CTEgg#^rzrv{TDCG7# zLfJjARb%-(w^45vF)CO^%83U#p6$XceqAa6bC1m46GaK?d%-;bxk7p+&vSF}Ed>Ij(Xy6RFHuDrmr z1wiinJBROHI54Va;Ct5OD;l>Oz(>R^enPTX7mMACzTf|mOd;ITo^du?^K$jQ$)Hf~MCKz1P<$Fy~s zVtRn{ErnAsoGrU1k38WJV=AW#e1u_QcQzmO!nKT$T+FGX`Qt;3W!1Nv=^{AfBbItD zn4|=f66OUNzMeq9rwTef@jYF}qvoS|@r9_^O%J+#>@Jk9}*X^*KBCEnQY;tz0nqVNo8x@Q5i1A*Oqx^gu? z=hG$oqQ(!k)fL4k>{ZxJ;mnY*K#J?E>N#IBL%Xa@L-8Jw7X zeq;*!QvRBPl<2ytmKGYy-D?_d#~v@zQwRUneZ+HpJ%2pL>11*AjomA)%4w<&@KslT z89nabZE^1tM>x{Ju}#-Kw|w)NvX(4Ei`CpOxkE%HhWxQ`mMB?VPf9K$7+K!jj1H<<) zlJ?Ke{QReS-uJKPFTjkYiF%EXjyfIvo@{3oN;%BQ%zSlWjgN=@?<3uQ|4^@g5mG~G zX>Km+zT3u9&l~Wucx`TOPE1S;Cm2Gejh{c&w6sX5sBB_qlH(V4NE5}MX%EwhdVU9( z1qRyO+#EhnoR!rENk#Hj542rb0-*}`TBOzRv;zYZ6O(puvY1{bHZ3hJCMG5&#o(I9 zL2fmH6Zh{!vr6v$H?8%kuqxGS;6SL)b{RM$K!J>m9qL^ytwd zDfx|;Zf=%=<@?=06ZMI4_q$Yn|E|UG(#1tvY-44mi?6pkEF9xfS0c$IRuzV{`EJg) z`bkMiWr+D~&$qS$lXpOA*iLyet12(g!phn^FyJs*na7#VVbl;C;xOORe`yHu81~#7 zS6q&KBSXWGLZB7LA>4fUSl(~%S0ER+EemS+`qGjagUwLp>wVLSLt}Xky1f~eIDSs2 zuCrLn{^UPEVv~`Od^p+x2vGdjKQUgtc+G8lrbwqOnKRe8$vr9rh^eoaxC8_oubVcz zc1@E5o$<7txg*~@m~bgy1vE9P>Fee;!H;dpG<{DjkRfMMv=6liY!-C4|GV=c!Hdr zLRQUkS%s{T%4QLgC@aW8acAJ*iCv=ke6rF>=_plW<)tMKYs-{ zRXLdlo{t}dM^?2?WtGAaVIT$>sVnfsVP0vxjVHCPt}ZSvPK#C4=d8M&-n9U#26%10 z4>_XiT(9>!F5k}rQ8R{@FJ6GU1(*K2KiYYUaj>6aiv4~%tqv@&tc1xh;4Q|=GDI~t z3KNNX9?GAxG-@(%$0R+)GduA^PZaMEUv6~U@dacpD=T}Qj7`94MG0yh6ge9)ICmS3 zYbo@U&QDH4WU_TDp4`1sOz1It@#2Nd()zmfH=519Hq+z?dmm^JfAS=KU!82E@1e+@ zXIgWxte1B&(b3Dm%uY?6eF?n*9MEc2NFue?aF6?ckHej-U#g*(wZV|xGEnyvYn`-M zQS&L~&`t(NSa2vs90 zK0B-08j`d`uQ)mUWpznONxOevii%-H2O4uTO&&2mZYt>_cV}9GXvc%89dsGbwD2F%ml1v{$OujhT@^ggdHFPk?Zzw4|vWWR!pMu-)p zL2%9|y{y1a9ju+njUarR7@YUW<7K*QJs*hRY0C>cPj8_;Nw+r%WVQUY2{n?O}sj}$j*5HfiXfqY! z;E2o?tPZZ*#o?IUiEp9l4%4F~EItEJHEx1L=AMP$lFRo6Tcxnwl%2v$D zh>ay78wtG1Fd@P4JwE471K>Fi$EfufL@0t1o$bv(BA?Ev6 zfZAKXMCbm&DRYb0@w>Q6u<9)y2l-0OQ1+43+A2;2(iJ7T6*xDJ!PgBAs-E!N7Zgky zlyd#q_8K;8ZhrogPmT*61maqcQMl=n{UY!BX)ibY)s5wW+owqrGY@<&^W+I_$_I0( zB;NRS3Z$FT3j@}*!&%+a2sMjzW#*SgVb*bhy5RZ@Ry~F?C5ecLC@Cp{AiDr8_hSHv z`nWT^qC6k2vdUdk%@WWN_Vc>}*kNH|0W><$U*p5WQRv^=+uJo-3x1KFdnwiLMsMyL zt7i|HX=LM`ZdX|sg{*|w1Mxlpmw{ei{4<)C`tDpjQyCm(Hd!eii9(+k(@yfGTS5_)t zGpDDgL$1?HQLz^cL#^GUMvaX&1H>m#p?mL-mqve^>DjN&aJ%Ms$VXp*#Rj5{<4Kc% z_X%f8+@q}5{oZT3vJ;ohtkzcCMJ&ks<>uy|sJsSHl@)@k@@N;$`g*YvhB=>(p&tbYq1weux_0NBiit zw6wIRf%Ufk@gZwJO_4Dg;_ldAK5KFZJ6y{ZtU1emvI^2M3ZWyHnmQ+PR#hgYF)^A& z^Y8Vi{Eo+bZj&V1$AlhrRyVZYV_^yLnUP|MvVu?myhWZDf9FtTqRwM?g}f0c?J7#W z^}Vle6Sj1oFTeiXqvOQh_DAPeVZ?#VF~sIy-TWZ7>kK-ClbZCaR_no1V@348XTXwA znWV($d1$q)Iyye?3cw}Lov!o2heQ=6rNg5mozn_oIM`J_`4#nH<>iUvu*~Yn^Bm-T zYzy53cJh&-p?7DgHTu@HovZA*xthW*0k`iSD;5HbhpYhWY~$Ua*PVyJforjQJtNM8Qy=Qo%h zL%ORyF?aG}6rN$@<6lDL(%`n^@ccOkaVWTgkM4WFfT0wCLn&k{#|J&`;PU(+_JV!P z&c*D+vD5u9G zNgU??z*^>Uf#J%pdVt2XQu}#8AjsJ;NWfm-+v^s=Fmk-eRrehsKMeti#j zwgra0x3@U=z&M#zB`%*~^t>@6CguRBz>%I@b*_C}U;FkRr-d z%B*C1KKuNhXPxt`cdhsR2VQF(>saU5?tSm;`hGvt_qqX#pJTEFLFZn8!g~wF^gxl6 z^gNBPUg@TY=K=@eb_0p{0`1B+sB%+#|nka5A69}!yt1bVYbKvmw@OYO;gX6xFAL5aNj~`2NoWVyV z=N7+(P~gI<=uaeq?znewan#4{CH(74GUZ=C5VB$1|ML~{&T-2>KM_=1a6IHcUx)tp zukK0J{^!3D2s^+K{`D2cL;tUz2&!?E|NaqR^j|;z|3CZB&G>)cWJV&mj<@$B)>#jC zf8FJ$lgis^ScR5D4GQDAu|s;(QN%?R6arsG@5kZ~!pg+@gwd*~pnx@8iT;V?Md6V- zh{+t6fpAZbNr8-xeECuiWzYWnyMx-vqAy>+o&bEvd$WU(d>iXr5q%D&M@~-eLzd4- zJ%!z^=%}d9bR|3vmN!%OLXNaZ=My)RL?v-?gDPcwQ>%JpSZDyCQ~T^$l86oK-o5$j zEKbhO-~_*r345paIOQgi%gC=h#l<*rR1$1?7I*yiH>pjLIX}c;(UFLUF8%x&6chwG z|Ae-7506P?Kf!kQW6JvxyIJf@-@JcsH1aNljNFgQ+smta9x*aA?ERG}pkL$TdilC6 zyV(0ad;qBK#YLExIiB$MuW3y}@>EGn!M<_FVXvm@r%%hh0Ah+g3eLR0-;}t63eX|% zXZYxsFB9!4-6)rM{3?R$78ZlBsaJmg1}2{XmilnoZ~kiwNIL3w*OIOln`WH&$^QfK zZ^<*%(<4PtHDV6T6(geLWov6|XLm=n6(w~}60Hwhw>xkwCx;`^l;d`R7H3=wbebdp z%`-cW+L!t@M$(?lQZiCn$Dj2-R)KmvMh$plZef9{h(U+Z;Uf}z4jj-V;%QTwIyzE5 z)-U4!2d3w}p-wiy5`hL}UTDD0G+9(s^k?}8Gb3YeM>WEMjN4k^k)P4s1SHNh<)X8y z_RQ^1nq6LYp5o--2wTOs$2&hUF)^LW({2Gv8ISF!d4pDFnbtUN+ZxYLT!g`d!+TCm zP-triB$WAO#>YE;s|_*h=KRcTI_GR~>eQ3y{^*#P4&-8PT)!?kyqiNhUW=cfU+CUm z28LvL5xt#1t_sX3e;Xam@tA~J&baLbP^;TQ7a$}bzOsxgui zhV*cgdmqSe@A;O^K7bbApAat?cFW1je>3FR(+OytU^9yE08ZoQ>ok#+?A4RLz|PK2 z?8!cQ6-tHGOb?e{YCOA8CNCG)tYTtK5E&u6$ZvJ|VR7*cbSmzTE6_&eyvCsqjDTb% zCf?^%@${U>Mgg^VZGHeVkp{3D$UX4paV}3!Pt<8+U0q!R1A}wtglTb*K1{on$`swCLa^0DZ();g)+W)uQ>LcB(bXa%BH#heAWqfeaV{uG z$t`qjH>*Mw% zEnm{|8x|SZH)+q>+Gewx3Fv@<@1UfV!}|tWsRI@{b$UCYJ&BcUc=mdw_{oze1qB7e zGd!!;@Uf6ybO5s6Cj?2j=volbd~da#mYJa4cFX+nwg?)wbKQA5r7f`s<#NU-K7IT+ z{o_Y?z*o-|w6*~WOAf5wb=dFf9Gw6ri_IlNAS%YWnv7=+J`4=-Pe;YXEX~cG(A2aK z#^RU3UD3a*0p~U2>8Vi|QK&=_`_Qs0aAvKb{@<%A8Ri7s%C8hp@ z8YpIHXlNLVK&}DFi{wSfIyed+9W0y^X%_Ul{Gf;r-w(2rblk*9_p@h_FUcL_9}l_d zuIN2^t8ifp&sBXMkGWBGro*rj_6nI|M&u_6od698Dap#qD_xo=HcWv8JMe>5y;9lrE)14P{ZFd?j@y(kz#KjJoVV5_5 zRhyOCQwTKyuhtCfE}AX-n@M zY~YI%KiZdlf1M9nODeFh zN41u6e&7S194O;{8W|VYjZ#}yRu)DnE+GM9q9s663Q>O%k&~a^qv;$Yl3Y3qPHAjE z#@4&qASOz{02olvBzo)HlwCkL!R6jX7x5D(PS}0oAkDw%_?LIxJx0TE-{yJUwVULvGLk8V z9`MhnBN{>W9_-OoQ&sIh{uBb3TU9+Of@yoYyw4eg-3FGi8zj@~)3p8W=v8};p`E(O zs?YGyp94|gxE;xDUFH~7;|Rr{g%)yUQnjY8v2o(ntKk#y^gK3m{+cpOXhp2u}o9iDbF^z^i3t%;bJSfF1k;;Tk^askUiS{~ne_}9f91o(7XslXD1Hh1go z=H}(y#3Aajv9S|xv(9(sgwN_hE`-Kp2Ar9blY@IMn6(OiP*!IP%-I$6f$7fY&!180 z63(87Uy7;QZ_Wfx4il3;L6b+1-TGo9q556h%_4A6)J^Ehl`CduW}w2@CK7*|v_1gq zMovQR2AM&(A-vcMKP)9RRURHCIAFNPpZ6vr03V;9dQ>^ z*pI+^3=Zay2Rp&b>SVAGM2}!~(;L?+Dk_>~*>H@Ok5jSRlZUwOH@#tediL{6_b;;} z4XLN*&8q#j^E^W@`3XbQevs<>-Q(ichS%IteIK{F1<;#)JFRucV5gFLnKo_httV>Oi<#mctgNrNXwoAYQZ5j6y zB3|XW3_}4aA74WD<4gYj5bw(eC=xo7#Ts6|WG8JSf$u01ZEbCwIe-YhlkY~*HJz-! zq2)hbsm5U{&7qhJsT8}=J&~qXo@S5hx@v{R3 zaC58#cdKu~0Of&M9qYMqiAP{60&MDy+X&s_B}@->fwZ7%9&eILY2Hj@sYHjujgfyA zrWsh+7Z$d)q1c!zQ{hs*w7l~*!MO=!D=7{gKZQp)H|Hn0w zkd1_5>R%ixHC;opX-_A-%1b5}2nDi8R)QAq8(Ts6~`{u+Y)v2RqAx0QG--(HPy4z3`u{*<8^;1nCS@F2SL8^fxsF6=~!pCHynqR*@{WnB~ z#U%Zg!Erz#mLt+KGD#%;c)039D!?%n&sCDR3mnKgeAX@15&?1405DmBu{)FIeOiCSBjq zFmSE7xL9|^+t+veuHeQR@ZOvEpV8uq>^q+YU`)U*{4SQeqZ;SJ!out5{haB&%DlX% zp%f4u?d(cXl9qj^9-_H}2lD1XMX1}FeoLFj!72YZm%*g`QDTO?kNsg&k|e3C8_O<7 z7E&h2&Fus>i88-DJL}T-=o4Bg##u>TU9Xnm{iw)4fq#@S%3R8LdB`O37Bc5Py5RrDw!HY`gAWirL>k~-OhMd1DMQb2I6Nyf`9Lyg z?Kj}So=&hIv%XLEr137`a`&hG0|E(ip6ZugL=64zR`C^SMd0JLMix;+C!KCG+fGm!_zOE4^K)`X zj%*_6gW)+#Rn>ZYxXcF*$OBkoE)LO+$eu>8aI@-UREc>u7~>u4M8Jwv#Q^C+l>4&Q zEGi8O3@^R&YnD26Zi zli%)#4<91)=D^X~*7n7!HeAwMj57!2s+8tCFro{^b^^tR?WCR#GLNICF~2upz%Ak2 zuGg$mN}Co5fw@uR6=~Ee&^Zn825CqJMn<4e3RG$%_ukDe+po}SV}086wPAYz{j7vumy=@`=*LD-ZK zE)DM+Mn%T596@~GIpb;$=x?CK&C;Aer7Q5Wt=<|%&`f>S%H-0TI@OSyp491jO=5Sds$?q+a>BzYEa;-X#8e^R@UE^G zmSCWC^p}-|iC5QS1mE2n`V zp*@Ie?v|7r+8X$gHBe7~qR^Px2DQwXr`rSye{^61UWe6tvWL+o6d7CQ6dxA$6oX$F+E%-Qu_ zPnjO>>hSWKd%0C%E2A4KeJgt<202k8f$DiAdGzb`t|GB*wXXObrB(xL}wfPFvn+DpgNr`_tD0j$kh@tM0FufWLxe}{b_u)$d; z?WQp(K8ojvEJF`hu{rA3VebKeap!0z2;}DG7AhoF7P+m11RyU zYnG;_rU#GsYL83;={J3`^YAFC*H@BVCwX$RxR-);tY5B>Z;!Y6HPR3(40F925-8JpL}HkS^30`)$;pB-s|AX05arr0&NroBqhWhA@)25!5`~$cpDdfP zI7v*iv0@$=7?`fK0YRLfpAU=ho2ek-yiZes+tP5=`^8LbH~zMC!PZFP6pIyk&6{V_ca z0G}V2Uu07x&2F+kOVS+`hAP6FC1nH;A^2$o=6W?WR0##j=d$m2fIr)pTgI9cZJAD#H zH%R{b^yFV}ZfWMar`PHJX2|)oG_PlDYPye&?Ihr9q>)+AeyKC@Sy^nfK<@axH}2Ou z5MwME`y8!qRUC#YUvjkYZ?14e|J7bWXNL%~Y!0N7pe`M9PICN)?2qh}X*4n8`*fq*Fm4>*#S*X0R=<0>ABBx9((BFs;5= zl8A~-a^#Dx6*;JO?p#}2cngRTQx==OheKM0!qN7yxt4qO3G^3mufHY5{>CT`v)|9K z&#}bF$jE3|6_PP$J+imQ2s%sc;}`Oo_Z`olpP88n##?}+2pg-&{KAVOd73D`<+}ta`|2Poi;t@GH{``^KB+<9Yx&-liG}XOPL?T83l?&7J z;vN8RiSm9poi?JTW2S$)3JITO*|)vDiA&<|Y{9OIszZGSK>5=;A8?Xy-|aYaPc<$| zdQ5O8px&8C5pvxYsffyRpEz;=^yXai7)ov-?97lGu=!#lo#g1evBlws zX64t^R|^UXa4oLEIm=jE1J_Cz<;28ppEZ17tg|qMuB~L@%MHFEA<=DmYM-Fq0F`iD zOaIrM&|L$6Iy>!{0v^2?V$;PqgLaYdNfaZdcXM)J=)KesWJUV{+&7UmS&jTLIoW)T z9KTg&WEB16KlfkV;rLv2LtLJ-gpdL$vv#l=OmmXjIs3Cb1MV`Dc!)x)gH^io48A=qSFnw2?HrjbX)A6wYr3fC95@R;kP;hS#H`9hn11Y{=(^yy^=j z-oqWkF+do_550PIrAX?P0oG7O*En?BoV#}i-lV6e<6r4+BlK)>Qk%Pu%j(>@N7tg1 z$g)4e+iZd+G9aC0ueG0g3XoB6->K$^WK?p{UcQqu3J{$Vv*CY8N*b<48x>n;9BT`w z-Yc+3Az^7}$DS2Ziq9_axi0%<#3}>*AE5#=yHPo?D=RDa?h77mq-4dZDRu2Z6iYup zSv1t}E8HvRU?vF2u5YO;6d1zBfIkli^94dhe9(m)&ms}NX?VT33*N(bw;enMFGS4X^a}i+D{m7w1Dpul59o%%3Hs*It zA@tbaQRd-sM)5mfF#p;BT%&V-RNK>2+#>Tvq~RmxyzN7ZSMY33p$c7bT1;gn2>S2W ztv0ELgFL_>33H@NltH7))0wg(jGW-iEh{Ulteh43@zbY(#mPIuxXFRH1)%ZIMbtt&kMo7 zwmTni=FB&Mn||F6YGqG_dv25A1Oj8k5ZUl!#u*HNluSf}3#0nevv%>@Lui@zF(dUe z!LJ%&;JSDA8Qkb)WOn&0Il0+E%h8d`;z|Qwxo3hEcs?|Kd^NpM8=IWmckp0)z#=jz zSJ+hl=jMHZB#m}LqC78IoeLY8W-uN7KJQLuA;!ER2lOw)Tpw^05tw7Mf?VC}dOZZZ zxGZQtKJ7pQeR4Fn(p_iAFYczH87_08-th>I%&=0cbUNy7{X(ESejp;n{K!z|~?HIuLmIby$r^FFbNbX7q=$V}f2T`(~* z8^!mzGW%k&27&M7;_lyh5B&zQ@4OiE_IDQ2)!`hMp&&R*uma74Mo^O!&|vSlW5_7@lbcV-2);kG{3_P_mfA?@4n9SEPL)Iz>*x76eZN5G^vX1;&!1 z`7`o%<9bFTJ)t!MxTxY~pR36-j#@z`1&&;$Yqv&K)~5K}^0E@3u*jK%a-LyJ{eQJM z;>Ei71Mpc|BTO}z3B~{!&s*LqV{L5>@2dO<=JQnjB9A?{H?cNDX$SR+a#@`0oW3xG zrH6e^bN8!W0p>1>^e2G76aMBp)0g*&+7j6Oi|JJ5A)c}PM?AY)D%PF8OnXFJ9E~S| z6ijSk6@kE@*Fco_SNos4PBM%jd-3Lw5JO7p?;=b8VgVbaS?Q&M0=~0d3sd*Q-1g^4 zlF^f7n3b0%7mC0+Y9tX60|0V`Xv0eXbQAroXeWv3WszxL$<5`qA@f9OK;p2;T3SNF z3*skQCU=hULvy@y-M;8Thx6y(GQEm#addYtl82{vX=R?9_915dnyxeAHt^<1 zZLNY*tj@yhEW|GaG)vA}O^kEoV5OF@r68OH1kqH)Wgf7_JoW%rm^WdMC>Keb=`h(iHM#k~ zsWAwp0%J+sI4AP(VUX-6Ft)Kr=sR&CaK_H7iRbMEV+a-HD)<($OY(%SZk_j37jj+e zNYUP(Rnv|v06?6keT@Sd9-Dc52XA%%f|;H#NA&-@*{zj4e(cEnjkWG|Q`2GV+T=*% zV(W)1WY08lt(G<3{DW8{6*Z0<8ykTtqwucqChyo)&*MGda+c7ii15>LNnTN#&#}ji zeHPuKDW)zid}&6n1_w!noQn?1(+Ms*j#QcRnb+u-IMdT^Bo(K!xzTmP!Wz(^n0c^8 z@92&s5re&tNat06vH(`!q;WV+!n~Q`(B~Of-F{#rI5OjXVY+?e!6_cx4&YeRce^Pm zM_B$WBBtD^l>%%ju=t{jCliGg-dAXcH46iSA&Ly%1E60biQKss`LeJNQPtr@G3m&1 zET1M{O%-6jH@8Ag<~{OT=rh>ol%vzglY{BCM4jjbWS}e1vQRyWp5kExEQ2_ zYubJL43`e2r%{)CUVvsi-5Fsi%!V@dogw!PLU=e+cus6X z6v;0NiU6cQYKKT7hrVv&?c3}Jhd)4`!TP4&WQL;P=;)}TLdeP=>gt*YPWkXLuO#>= zsU$T9#)e|!KhVAvACEiSc#aFHh8dcjI~{p(GMrYf!3aM9jn~EkLbNV%rzx=1I3YbZ z){H}_X9}RoI(`-=l7B5nyel@T&^^I5LDiM<>FM^mB>+$pr5XgUIFQM}X>^J8>>JZX z!J8XRb(-ep2W~cie0^D6vDbw>-xC-Pxl6F;Fv)_a^s5xd9!M}jfV~Eu?&ik&3L_S_ ziJo5eEg@dsh;_%ZiVEbp3@;S|)s+fH<1?JmK6$bj*lI9%dD<-e6sdf%cD=VUz6$nM zvO!hbR}Y`-y5fyZ14O&~mKg77$7$xm4Cm%fkr%PmK>LWM6&%8*U6aSRrtx%TdP_K8 z9?zv|SK%g1yXHN88i4HP@XYt`ZI9p$TZW&qcW}7W$kdAmZAI>SmGIYJ^{O?VxfF1I zvs;tqeJ@vskEDcwY~z-2o1e{=#Gfk^lJmJ9tm!Y9k{fHJ>Je{V4o? z&yLh&wmCC$=3sB~9~_N)21nKCc{K7T?}mmlt?q$elSZBAzeb5((dM}k89Dpw*MtKT zq>KWO+t?MQYH$Wmt-vRH!Dp&~34qT5|1lfy*@G#M3f92*(iz#qJcQ%T)*Bm%V_r|( z#c#Kbq4?7+A3HTbI?9wZ@&V6si+yPo(BfH~gNMRfA8G=l4Rz6cC{I_12b!0V6JElQ zXLe!1ffAMB@JAa{)8+%xkuIpD^=kD}jpOYpcbzK2Ny*;Y%i&4JQ8#rFQLkn#-r;m0 zRa+nrg7CG=-_s;r5!B~YXngI zO}w1OCrp!a||FIlISV%PsVA?b3l$*CKam0Iilg9oKtb z+!9ti`&!7dN{{{Mlw=C>h(1DZp!$bRoauJ#!p5{0Y1_G9oH)XPIG+jMRiJ*P7dszW z9YM-sRH@-HU+=zdE$>WZA1);%*y=+vLCe&acG2N8A#o%(Q`xW#eL$Ak-8lOd8rfzOmVz# zxNlgPW0^Ge#Z%sUGFw4-0+pnwF9ZP=h)OF#4Qbl_+4>rI6l~y%f!80>cDnv4VCGpq zZkbsGPuz8Wq%B1r3?h#Le1Y8bPqeMT=}r9g__w3<115zA>MOhvnt>1fIKZi#NgpZJ z9JU4BHeVkdo+ez;jvYIo*%|&)b?V*UgzuXggGkLUg3 zC~btpBS|3%_dmlyt1;Z9HpD8jowTS_xWQDm+=aAqR(zzb*}}~1Q?=JIzvF6+iEU$n zZ!RWOz7iP(2w7VTtQ($lGPnED+nY6Q3Nhe}>k z?tMla$lmp1m6%rXot7|uKE55))L@~hNl8fvMxhD8DZ>ivLh1#y;ky`*em)O9=_JHb z-durZEJD-Z2#7lZuyE`F#5Z8%l5*0CP!*^C^Ou4{|BBV&f!Pfu7^9xs_$ygQqG!@ zS!3VJA-#__Rl7Z9=%~?i(t96*@8H|>>66upi~2cnI}l^U=zf0r(*4-=R6sxgGjkg7 z#p<6wy2+yKe0+S0idGG~%G5tYVMp}}gOe9R%P*4>`PH-f(J+~4FdCS<(;eK7QlA6a zsw;50fBhJ|h~u%KawBXEX&tgovhv+xmvck4Q)6T5L`081Jr90fDlC}PhACeB25D|Z zQI}2Lo6lmEG<;jX)L}Tkuy6zuLD(pWBQo@=UAz7nf;*Ba#IK{H_4${=sd4~pB_$Vu zuIA?E5CFjGMF{*JKxmlAA?DMoeHZB3T~Ev1U5L%tz6$F~*sSbccD9OL5aBQu!wmi* zEG#;jz3d+tc>mBM=|`!g zYY-uuD0%jSH&|cZoA7EF6VECuf8oN^)YK4ecP!$GC@K=-7}cWs&Lt!B3%N-m*X`r* zz6#_n*xQdHhaTnfwfVM-2w8!P(BZ=oD0_(EpE})Wshy>ip%?-KU;=wG+GhYS1H*AW z^P=Tb-D z($fMiQ-C=Y;yQx}9eqzNi1UnVDIFaPo8sJZY(!_Y9kRQN{MR!KF) zf#ZXrfJ}Dh)6kOgeF6yw{G?K}NkTY60$7i;PUPP8eN=)KfgR1wh`Ao2g>}#Y9rkA5 z76RYtE#&0t9QqiOfP%B@xw*D>J8t{iEahUG%3_$NtS}QJk$McHt|~RyC)kqOG*f_0iS5y#pt>t2M?AkaBT<9R)Rwf^^9sH_GE}hiBrt>^eZ~V!4y&xs z<2oj)hBr5k5gQ_Cel0CYi4NjchhE_HH8kvjrj1xyt#ikLA8$#XG~f4w2M@xJ{rh9P zH2e9=6%#erEgxRY&y3M025;A^z=dN*;yoIzurR9Kqj(!YtsijW8GiEn{wVwX`!}p> zMkXc@f@-AUxzmq|+L&&zsJuio1{9*-ySEbm1JVPDLEGxq=G!oRG_MTKfyIG{n^d|d zt{MRf(xfxqS3|uaBU55<1l0~&=2k&cY^fCk@blA7l{~R9!_9#cjsXxM$pT^tXW$Wy$uwAB1W`+@xS5aDakp=eOir5q zDUR*Bm-DjGa*Up59E(~;RBSInWhEr48ae-6+U*nsy>qtq!vBQBu_^y|LOf`aSbSEqHR#Pyzkh0jO1uWncc}@bsb`P?fOkJ23L_U!~*k(6Z3&|po r2CL&=f9ge}<-dL+{NG0bIycE*S1ljw${jKw{n80_UE(8E+tB|4uoW2y literal 238237 zcmce;c|2C_7e2a?5)B$2LP(K$D54CJLQ#^LOcjMt$vjt-3`rSMLdsCaOqnT^DP>B= zqJ*L{&zx)be&6r=et)0O`R9DjIs5Yt^*qns``-7x?zOIUt!wR@8tN)*=~?Lsf>?Xx z@F7itpu0>EE8^&=@yXIEsF5^WAN*y-iErb-PS~wJC7}D*)tR@v(2<2P zn2AYz@-YY9Vm@=3S;IQ-@@Jo}zpE-XUi@9v+BuLXHkrzx1uoPds{&OB@ocLv9yY)Ov)>^9r3&dE zwZMn64odnCS{KebIG?h&AP(AFoN}-*-{x%PV7bk~(qfz51)H<>r);+!J!N;!@zgns zZPMGEot;IT|N2vg!Gq!!!Q0Ai-HVHt_B(scA8WUfY_C7- zx_?PJ>fzX}NOyZD6Y&Ad3AYjq?ytjVb&fUj-+v)AEIy_f6WS3`Q3e_sajn+I#>TDb zw2ViN9Jx?38KIu^qo-s(?!dJck)%5|J;k$arrxdAxfe=j6JNY|(a|6GOn{HCy1st1 z;$9gUnZ0|Hjn@(79tH*mv$M0T!LQ%GJvL%U5Z|<}52~xH-@0|nI+BJEGj(!uGBJr^ zeAV4;Y{zBb`ksfI+x*-)oZgb6cN{0|@>-ZV_CRvqzJ2&Ft{`wc`|MlAg9pdQ$1{uy zvTQpgbL$T1gx|e;`Ns!gF5lSL*c&%)bo3KMedN7+_oAYnwpz1ESjIUC6U2Cbe}4^E zAqE>68Tr>w!otF0Vno*5p`4|mF%#BJH!84d-pN%tG1PqR+O<}Zq%mJ#-ylwT6T0V~ z^HUae5l`_k|5Y?$bYy#qKwz>m3=9JO4o_x9+LU_`ti!o72PX*v%MDQMmlocXL@h!VLg_h zGxj|tL&T(bW@&N0^TmZvMa~!A#mEVcH2vq=M^&<@6+AJEO+O|T{Uc4i+S}U;>_yyW z$NKSvN=iyK6xu*~Iy$Lc*8vxcp*HNJvP6=yd0WvOQRd?c2A@%bT_j zj*J**pFP$-H90vsHm141_U&8aJR5`YZ*N05?ccPz&v*zdH z(=T+es$ce)A9-P|w}KFRjYo1F|CZH!%iq7cx>~G1IhajKSw*GpvD?JpsiEyuFtvkO z)NwZH#zjo$B2x4+nB4P(Pv%umRfp~f{F&)KZTEIrcD!C(nf_#nTW;1s7{69PH?M%e zGrbHGDZ8%Q@@_6JM;}V>k(Qq8DRHkIK1s7`-O-~*gKpjO!t{4_clW=>MV)^2lzf~% z?6th;++PSAlhS-78={*MF0-CZGIelW#f|lm!E)|Xm6erS?MYL0NkNup*I(+NzXW2K>@KEMLPw~@*e78yK9rNcbEDDN>>cpLYd`N4# z|D!EK)Hz)%>6Utuprbe8qEH_tuEO#IcJ;A3MznM$K5O9H+XwxxBTd|nNMdQEY&*yq3%GcO84l4}i*P>RX#Q7P>9K@ZFt|)vlJq~ z#Ao#`I(lnCZL0F)rzRzCMn*=n8B5cjyhFC`Yx?c_;g0q&J0&h_Xw<9-<2-t_zP~QA zRb++E^)WjY1Na4sTxYye;Mb&vh6Ze-DwEN&<;4v9J6NmJ(*=${B9fAlx{@w^c^wrM zr8M1Ma5<@Dak(tNCHchTpFJfh9;~da0xxd(`SG)1F7}yMGgg@P;^v|bh7Z;ClGND? z4&L2)ENHpS{a49!SoTO)LH6Lf>r!h6-o;*6u<>~m6trg6;hd^!Ku0bymz>O(AjKx* zWb=G}^XAPCKf4TO1uy>W+V^E(_*0qpqcR~jDLaX*vN1=sl-8a?$GYkmm0Md+H0-@9^ZYN{Hk_G9Jg?J%mF} zwFI*j9nG#sH`*Zct2+4lJGNuddmCq1Vm!u~!I1nTtB%s>1g>_1A{?m;EfbJn+?n`_ZFE@Y%1O(?7}x_$YPfUpnYC zRLj(3KoytB={0jeve5B|Zkl24>1ooGzQa&DwGxl=J6VLS-n5gOmzRNS>(;FwQVqWJ z^=Vq(5Y$Uw!?OF({$0JFKWBQ(j)e>AMM%%;>uXrzxjzW%rivAR zNyN4t>aDn8F<-G>9|Gw~EFtR~hA zsi?fEu0E`yqQZ5^$!Y52^D}{^A0zMIm$vKL+rDninuX!)cWdO?Wt>uNuzt%Ox#wSt zzJLvun27pjW@od>x#e_i*|@RknT}w4PqAxus1(D6Po*UnKJ9P+*_IJIHb^04ec)o` zmuAki@AqC>IC-H&#~~IT&jY?XOYY+5@)M7h!?cI zQH4|3?ar<pz+zQv%!MO_l_N!oTWn|g3{-n@Bp)6S!OIoIsR)#;wYj_x#! z!`uZQ`(pAs+uJEcCo@b+%)fLMTxJ$Ektk6oG6hV%W)sTF%4|Z|q(t`YY5ms)A?(4sN&0;jHh1*v1Cbou+9w)4ORUl7|gn-_T|e1bdQ>cbTdqB z7Yy-n)@X~?asK1G7_N;@jdZ?P&n~Uq)Jr-kK0b}~leMBNi9EYkzN=NKM==G9vjef$ zW50d-c8f(^+3A6om)C|38z}aTNAB+AebX)0OjUDb1fO5m>NP!ZvCzH}_ z&-afiQVp^LI7(q>*H*2soho)64_meUsMM)fzRgL;v2tyS{;^(jLoYsg{piR|8MDG_ z(@<0Qefi?Y$R=syGX7R7Q10f9+xk{chc>#kRLzl zw|k9NF|UCYQWq-r&&t??t#92^~m zt)$0pvCGtYvP#)S-@U6fyuT_v`}80}RIYXFo%xCHtts!5FeVMJNO&J+x#GAu1=rzp z#~&Y*y_(_3_>u%9)b^OI_>o#J&Ehm!LgOHTguvOarV0n{8~px2EPDqYwK91XTAg?ex{pGC%S>!@2VHYYsU# z?YvK3^S1krtl>O&RzQrPj7SSPn*i--cuUBYRg&CA>ejs(Bp|g)i4)ui8F+y~5(e0qRsX(%aHQ&ZEt=)Jbto!+3* zs#`DG(oXWS2^;2Ewr5#bm8~UY6>zerhlejCz`>c0jyN1-id86VQU672pcu>-9YS>_+ z{l)Il-@gZ&64V|w3m~j-XG=OBt9#ZzA}c#Pyz1=S#E{nTq2=pg<~(w8i=yI(BtU2c?##0hz+WJMX14eHT^`>vsk#k9RwNs-gWZE-v2BU8v{}XIO$w^*V%v z07u*J-o5+6uG`RIRljir#sKV|Ke+D7l`HJh4!1{;6x6B--rBm)9>(4N?b2C-uM&@0 z^Xl>A$MQ3uY1(6uwlw83k?!m<<>f`%c?`Y3=vS%Wls&~og*I6t)oi^2d+iP@MY`tL zkjxh^LV|)kzJ{u-iFF9{_y0XUE;w}i@<2n)_3Z3%KtatWJ8Zm&;PY+iEbVWbo3$hx zV&qN^K7RjR!{WLxMk8>!n~n<+E3xu$qDS-HPkIUS)4$keM~FC8eMDbe;`9th50Viw zjj4UE>a^eT{kDoSX2h@<2`f!yWo32shWmTY?>ru3G~6raHj!+QefIR}c*fITUI$+n z-3xRz4+bE71R)|y&X}8!-AheF6DeeHdPe;SECQ)OLTkiW%h`(;f5TEsy_dcI1dKJN z3L6x=NyqHULdqcxdL~+s13$(;~A6WLS zExTS_d>fA4Q~y9J9nWwd6VIyh_fh|-GK z!~4SB&F$>DbCGiltX{FQm--GxEq(cXrHXzk)BeUfc1<_Qs@ z-ETkpuG78?$x4At%Ifh?_@}0(5M67hj_;p6v~PCw%bT||2?WC_T6g_|7&&)=#R25I zW_>5FUoOCebpGC9G3M#)JUuZnai`(pNXMSpzQ7spw&Ztj-|8^cx&d3golhXt%y4@6 z*RSRk7PQMVUqWgN><~N_=O)8{baZxJXwOO*w4*qx&}K5~X09?5rl+S5%NwJu+3Z%b zRDOk~He}VhtzxBHZtlL~RV6T$QyVRgNdd&UV*_S_U-ab~cIlRynx`#y*%}Pb&T!Hb z&qVr17`YDF+uJ|i#K)YF`e-8~W1LWGyheltDw{J7Dv!^ZOTem(t-FA%sJ6vS=FK_%*P%hJcWBV3qhvd+0ahzMGz-X((IiP z#HY={y+BV(?+>o8$qS`@!Qs7d$wKLc<7FLWSp)x`AIwS6lbJyJ&hIc_NSqn|d$L z(x>uma&q03*$?HtmvFa8TZ^da9V)j-fX>6-_v@D^+lAs$Ww)A@YgxIS-GSPIhb1rd zRVpU!X#twudF+05-tKi8G1UyKS6d;a;V(<nhX0qoDx*= z>QxY@Wxhm7mPrX$ny!q;%*A$Hrb5x$h6eSauZV|{(a}O{q|a5{C5WJt1@`@9%HLUQ zx$rn-zoz24FD7n7Jneg7N}s%!g*#Pin=k-Pl{)w#-470-Uq(O{VF7A|k(FK#QKBI> z-{n1C>Nfd|@l|W9PShrwuKY_R!Qr%wEMv#C^3my^MZW}oykp=}zO{9>RnL^-UKLRI zm|C0l4uy!A{CFk=@bf&HG#Aw-^3^*p6S*Zb?&r`+>;?GfEeU~9tP+zANor6TZHx~GTXq(}&s=t}Q<}a7mvFtVnQdi#Tn{iu4Kp}w($^SYTnWE31&Dw7T28#FJ1}q}& zIBRj_#V0pc*EId-udv`-9&S21`#sltc?p{&BIz3mnnS+GO?^C5_4CZk-1o#|4?X}_ z@cMkPlt`4{B+SXZK@rcRuyhr$XQVw_W%ipS76-ra{{3&te?mhpEXy^e8b^>boDa?4i_XKxL25)J>dhKg$z#rmE`U-b;!{YC#&mf2x&~ zwV+P?Rv?LqF`MQyA#zh=b)q+}Ul+K{o38)7Zy?q?-FG))#S5nq!!IxP3VcOUVnrtH ziI~x>(EInT_ZnP&ev3n{(6VuRJBO5=5vW){M%#{@6C4?P0R`^xs0DC*Ec5o>$E#px zXSc8I+NKw%|Vnf}WJ5@Q&AcFN0*3{g6s3`%Nv!Xx0R-(h;`vdJS!}h&2 zap|RHW@hH91jFY&+aC$~q`hpKj1;`JY_6;TTxg%j#$|N`DP+>_YDi&M;a#HO(bhnT0?T?% z)=9T1I9)~0b6u2MLPFc=OF=BGU4*wox&X=PNVP~ zVBGm<7k?*cNt0_U*P0_4?Eo(mQD+Lm?hE{$@$=Juy;qLQO@@sg$iD>k7aKd#2JEga z0_E#vX}(%lz)o#9*^lWaC9In^T?TN?Wq5gQ@N3OoRZ|J?C668Mtos`m#^1>^&rN)O zd97CBA%L(DRw3sg_~|jDlQ8D-v9SOXMb~Z8LPDv7Nr=6uMBJ4@1?W@$rHaG3O0oBx z9377xKQ3kO|A>UG`+kE+-pN60Zf=e>!SUqDlVoEC0a|X^K$(;|2`;XeZEbp9 zhM+SP7oUwy9{*E;(acB?()ji3m#GbJM%xcZY2!xoMHuec<*PpZMnz7-J9qAsl++zj zBuY#&-ZeDn#%!CKn80J7eZOt#r9N$zu7K5> z%zjqTCXgvBy}Zs!+q@jIl$lnh3UPI)dBkttEq`E zezXURBs4(gy=r=SVr*N8)*JvHEJv2{#C-T^c&%C?6F?GIFk*!k6X(7b%=4=iCE zRx63#O;Zm`b{_tCV)#E?t9aMOEnAXPt7r+n8t{JoUn&&+VfNYvd8(t>$w+QB^FRhJ zyy5iTBHxRdN|%)o4hFTBB3#jZ6WE;TzUK9(fAB4KUmxS}6Egx@)llN9Xl zuVJSf1n!WBCt;zjJNw+b=zW*X=R;LE;6O|P-;T-`M>}i#)E+`%YL8)>u50bgVB_Pb zPoFAH7l0P^kkO$#0rQT3dJ~Duc8i9$sK-=QR&MS%1(F36$ej_C1W1lYq|D$MDt5fF z9`?d z$GZRAXAyiCmR@be=EsOErL)j6#is1{D~1I1H$uLH%}F6+D}(OTZq~`UocMs2__B^e zHaV!Ar1(zX$X&N?9SG^$-MP`5gk)qoXRJWfrQ~3{gH)*1)&cfd8=IZ3n|6OJmzvmC zGTq~jAKZn%^(uN_Iiv}<-{byEu07)NRq(>KZzImWy+6`Za?;>!mBZOjKzl4edwYO3 zk4lb>jfEY0`F>{fOL)~tMMZ_${r+ZDQ4QAblaX8MuA&zJyg4_K3ylT{}odJqP4uAzaOOt|p{q8#isTI2l#W zN<52zW3L_h<;R#&I`=Fq|I!JP7DjQ!<~UqmLshZcZlOM) z*zw{5=jP2%7OEp92r=--jwrp@mk;;$J_>pf=mrpVw*DShCy87iTqw0#sQ&|U)7pX@ zZ?64SM8=e#KYv=t(GVXqN#F-MG^-nU*@87B9xxSDCvUq62+-ct;%}}~?dJf*+OY>f z4FKXb2Z`VFgp)I8g+p*!tD)uL;o;TciGb1d9Fjq836>W`%d^UZWk9H2Wn8Hlb4ql=U|}b zSOH1}VCT;M&gXw?0m83%4m3Orx427n{xT3+ef`li-IJEDxrqQ2g^tC@8sve0KQlwm zU?vBW1jS}Q#-5%Y6B85E)wN?#P}>xlDq1`Ir-D=LDlR8yOt)d<#_cb{_7_nT`YlNO zl|wj$eE~mJ?CrD0erNHlprvJ(b8|rc1_Ty*5-c43+odx2F?cLiyGBb16b@#9UsH5a z&i47O8HnGt7&RCj9gV72yKX5TH6c(7YCe2=TU00~@l3*^*choLZ;Xp#_i2LgyT_hF zcbVkSLfXrTWSftfr|j(_u=%m=8k!=es-0uk=|hcsqNoU+ zuy)e5yqTf#sol!X&Mc(Atuq#sVW{76f%kXef8irQ+I$VyGqHkUKB5GT3=bngkObEb zd*j%9F%HFH3+Y)P*RWj8qux6WGulK=iuLoDMT{(K1KtuuvoV|#pkTxZh~&tei_Ap% zoYJ8~e6}3tRuU&q_pnnGC|w0Kaiz$cyuoRL+A6j0uY~~!+V)R@k9LADrV9lx3fd$r zY;&-(7Q!C*Q$0Ps@rEdp`=t8b*LONUC-D-%NHaE;FC(fAdyLZ85*l1!*0eM)=R0?d#tRF<-xY8UJwdLX^u4Rs|dvz}{|)+8rUX zn!Wv0<=2MD>6&S!$2&ZOK zmm87=xb^Z2nT&m){En%rY8FM?k4{bXytrVBfO52bpPZa09EhSn{BOzp&mty~wFHNe zVH#N{EzYDSB;&9E*!es7R}rXwVwVMw3J(Tm=E%t(ZJ-II#l*zGo{!kqo~^#kg$f7& z@Y@Gcu?Wkv;{(XR?E0RcIB^1Bz=@au2WDqyEB#pEv#M6>xSURgi5#lGu#k`~yS7V9 zy8#SXGb21_OFMptYlpYT@fZ(=ho1yYl$DijNoOE5sA?~(&}xJ#XSAgl)3j{nPSX&LG7Pat&|=P4fg@8hUa7O5KhbC?Mr+5Y>`3Qhg{kHo!zzm+2dQLYU_;qN1Hy8)CGe;r~J z1iAklK2L{RMF`yk8Ert@#v=ky5DD_}-3|t=lanLi7)V8gsX$IdlIyz;t@05#megGH z8ig)!xUIq~2@MXnlG67~cPI;-ORs5sY(e(m&?%yaIhgscBl5UJ$>aE+3tx6}63Kx< zF26x0JF*eCYW^`f7PU7`H>J_C1zH}n{SVc7V{e|pi8}XpA8NCdFcjW2M&omg%is#5 zqNT)rq{q1_#GiTAQfGxz{(>;~X9|tWyyV2iwNhF?puG4;2vyh6a4RH)SrLRwb6uU< zh&}FCL}FFp72p1TdgA|nTK<2S`Tx&uk=g)m?bV+H(h&yFu&Ahg$cZyEGf^>3(PSgy zjzSr*m5FI;arzVUq9q{osZ*y&#?~YwW8oD+SiE9nCu~+8bRd!$xdk(&v8%#JlThSb zM81M-5eUf!b&G^HY#Qmo}cy zypj(HgY+!FsAzhqS*5iQlm2CBh+nTP%(&1b<5P~+UB>w1vHJne1ejM5d<@qI2{X1W z@iYp4+YGMk+3m4SJ*nBYr`Uk55k3{+Ib0Cq^n3X5VKgLXwlc`Fp-szc{SiADF2qdtMQFd2dXtqCXYQ%Dtq@keP_H!F_$+lKZ(I;3hX)EOa=5i~&5Q=UNHkB*}3lp)E|#+gWnn#=flHp}zx~tM%*G zb0L`VLVSUwxfQxLvz@cKBOsq(mk2KOt5=^W+D`cF`=3Dz@+{XgaFJLU^t#|3|4T(jjbWh1{Sl9V6cKxX1ppRqrl?FyGP5ylC- z)`t3rF&^d7n3x#rHflmFcKDsKkc|PJj!Hx{`@(zuctO`$tS*4F`KqnyC$J-@x4fCtGimDjCW;qy!od0S&+K8 zoi^xh*bmgVyvJiamX|!$wCM=3#w?3EBzq1^3$s}qE}zSz~N4LNSoU z5_C26M;)QRgv;<~F-gfhI9C)8kqC7n|3a_<1+0PH1ywU@hiA>r_2Uf*g(JAG z*TU!ObPJo{n z`1)1Cw!;C$U2BRSv*H>KSrWV>;E`k`sO@hJ4^KXtq$UC)!@`hdC!v(}VAL|35!&2k z)DCb4=l+Es8D$Y{pn3;?{Fv{${0=c=7CRkI;AwRL6~V(dz$mwUdmjoYX-G3rcPB-_ zzRAeBK%C${ZlJx|Ox$g;%PEGUM4St`#sPf~DPbbw;>{4sfUkru9dP;Ro5UwiY&!Ff z(d|MVg(c-MK*E}}YblENrsD;P@-@;AApk>aBz@q(0hIME(_zwUmJC5uIoRd+EoBaD4k3LHH!Ny1NT5&XPQf+sw;rtNa*`-IoY8 zZCXyUCxD1j|Iph| z!(#(H3Ng&H;b((0OB>EY80Rf=NSK!7mNF@J*@XwrszVSYz5b+I317Mz>4A}nuOK(+ zcGBq?!oM4UYTiI1)$Bo)TIGWEM0qXCP*X`si60{^EiJZjxG@tE7Zld}B2?rdIfm6( z1qESpAQKY~CtiJWS+#0a!I-L{p`k@2z>Lfe^5q2UKv1ku#a8lB_#^V-|>fYE4 z)VQ-oU`YpU`Rf|jl@hGMp`JnBtV~S0mTHF%9hzkj6xg;+f$kI{{LQ<94$=>|b^!)# zS+1({ezdUQVQOlMTLms@x|Kjc`=+zA6NPM(lRn9=M+&h zU{pk&t3Od@f&vTfjEe>a1}ZK8K%~Wdfl5NXJ8%lMmzI_mq`fHY*R4_!;suH0lsRVV z*I!NBTfV7g2`d|9DtRgF3waStbL`fg{;%J@!Kdia^$rZ2Ym^y6 zEd$O75^CshnHCcqqyZqhK(ZB=lw7-dRmho(s}g35Lc;fN-=?67!t{cP3%wi&@c1Tv z`L`YPv6J6*xDEmC3AtSx22%of;duG-c_h)$A_+Tlm6()4R}6t4@L5ufTP?X_!wB6y zv@z0-&y+-0_=SoXN1ZBniL`sPH6gjBMH?od_UXuRH8o^}7a`ys9eqCNhf-K`Q`7Ls z2r>Z6Mg~j`7D{0kt*fU&@Y z*fu8y_lvCX8-6$G<_U2)aPA}6w_P9NUtIdw`o^Iqs&ZMhPSo9DXk(U1ItL2QX3H{L zhDJ;p4UzonaHL3C-DvSXY@{rCX5}J>O*aM!!VwuRk&6@|>+AR(s*e z2fb`GzJf&D_Vxsbrqc&iveX8kLeO4KdXO{2@y2ety1D?|acansuVROi#7jhLf*LcF zh+yqOLT#QKM7PF9MG0_oEwemydPF&^!>=A=x=}o4oxw1?Pzfj?fiUdf9neYad+}_z zWG!m8yn=#ij~g98Vg)zBy^!FnMKO!I?is|*(AW4ff~0UnlTX$nEDD^*9~Sjx*f?W4 z;qx8xFaF3%{XCnf-YFNLDdQCQi2j#Mn=Yv z+VM^4go4F)=oN9AIBH!Mfv_78(EPrDBM^&uN8`AAHyc(8TLtz7Vn90aR9A$ETT!*H z5rRraM#kIG(OrlTAb8b4P?Wgs5fUOLEQV=Q51o5XJU9C*4ERiD>JZS)uObOD?zDOkMRWHEwqhyA0W~@=k6#8bJfjML|J9U;iU| zmfqegjgrzM6pRtSNuIt4`?SQ(F<7}7_ab!w5Nd&YwvGhnca4M@Dk{hCOOU-BNPod_ zkzm5*_va@^?*2E^iyIqlpsziP`VCN)&`>kk0ud#i^f3hV?=(P?_Tja~1=K`8w)i>O zSV^O;DYrp$A#ZM>R-z*6PfanF0Ae5y6qMK_PbiRSSR8%tLyGnh^0dDW4cZ#|X9BPO zCZZJjcNiR?DChtEb+S3PU~&h&pWxU3vQUBB4Gx6Ap`ZHC1$k4EBJc;Uthx!tY7iZEFpb= zdF|>yKlkDmbn(Gf{m)Sg3G8~Ne}3+IJN5IGga4fpvL}n<&_7c$j<2bd{`r~)UmIQT ztwm~&tP6)u>VI0~2(!h*y1x~gEhSL)Kxi6idD;y444F%!lhWUJPf^agx~d!Y;W7U0 zSbM3*Y*t~_-`}N1|Cw$mCF^Qxo)7Y%9_0wvLH^4A;>AoQ(Z6q$T!&>8VwBBP zJ8No=RH+jBA<(9TrfMsJQp?)F!C_JpNlL`f5NA@uOl#JksQyqji&}e)S`xn>*8Rgf zG2H@}(fEMyxKuiAVvE4$6r)0iBWbD{y1?kOc;;3-2xS!Qbww-gJsqQ=D8Zc_(IvEv zxdjzY`3m~%5oArtFDzWgDv{hoZ`qM!m4KL+Qsqbu-2n07eI{Du*xvZg+{FbeiL$ysyk+H z@7%cq7t8NUDxQH!(7(6=ZCqqGmNAj)2ZYwab5AwJiOMH@_ff5|Fj}90dn?u;pS|mY zohcTibNb8~WFhXOeN~VmCF^fYHL|n&Sry2PsYO99)kb3B#tK3QUP)v7D@wT=V+!G8 zyG<8*tP^~?C!TNARzmBE)I#V*T7_^po-No_`ZT90MCRH`0m4k&Uq{2sZ>b;8oD4|r zqlrI!-;T386;e@;xTa4_fdwnHf`t#mZr5OVPC5@;wj4+u zi(`QUw?XQWd~&rIwzF9lEaXk!;r}ySU^RhKF%WN`CkqYXMX^ z8@alimE6Jxw)ZvZdg(QED+ShXqo$Pa+>j#cb6ATwiHi|g9ST*9csRjI8#4vJQ-)&Y z4*!0-^834lw-D!H58B+Au+9JT-Q0$Bv}a+P(PHL;{%2KnXvqmfywa9^MTz77_i1s~ zh*4%dV0{9&8BqoNj}7T;z-i|dvZ(dxv8w+6vvTA-YhwxYG2Ctcp6091U~oS0szeAZ5-~-8wZ`oK{6ZLmi9>yaP zF)Q~0XN%MT{V*hD0H~0-H5m#Z9a9Yr4Qp%bvuDo&9H4L56pT1H*z6@|;@QU2lpmWR zngoZ7vKb^vNDP7VXMyJuIZZS)7&$n4&{<1jFE}Bf3sB}o?$hc0^ef|}Pg7EK8o1^F zPhQ_*2f2D)O6mn%FM6WL{#Ygfick19-RJ6S8tbm%*#+`n1U6ZmJ6AT*qy}NSPTtnN z7e9mjMc@1f@JdKxM=K`X7NH|US4EP|O|-w?xB_TU1mysV(0Ad+#}$&)wB z%ge!;onpN7>u)VU9{`rKgM+Nsf(u9wP|BG?c(xqx!fJq#oLLV^Gl_zx052 z1}!%B2E-}6J1JfPxiyRC5VUj(=|~fkj4ArO*9ZHV+1Sp{yeoqCe}Q3@nN@N2)h0Ba zUIO(40Zc5KPi<_50sHr$-=o9?8sr5sNVZgbf~XGDjm-OPl=uL&M#x1$^q~O%L_O&N zeuq(7E?hhgz1YcJK;`|@(ry!$uFE&5QtzPyv1zC7a}Kb*7}Jr%hXhhPA07|$^d z#N0QPl@r75;yZRcZV`u$eFAlUqx6G&|#PYNb2xgeMsxU@u5xQ$Kc=$VqMu($NBKzf<&@;rND=qTy9Fe zZz)80kh88vz~JB@xI^@wpk)NDmM83N5C=_6dhlle{w`=~Ks&JRJBTpN*oT1YJ@C-^ zD-+OyPKqw@!7$iCEDt*b2cZ?{h&$@~EnO9DAivNYf9L5|Ikzw=Ju`O*SkOcNxxb%> z9I^m#KtoN9RY%ScU^i@8ge-4e1S|$;=#0fc^}YU~Oj~s?{26N7v5cqjA=sTeZ0=|X z!sICjvv#8w1Kz4Dh{i@4nwI;}Jo{?&7{j_b`Z?oCp-@~LsewQ~efyfNsAz^%k4ps# zQvmG92TY4yo`XW~_r^5%>Q`CsI+URR2p+dPG&OEBM)cvwBreK|2AbX}fP4=~z98%( zd$1&J^pD&CX$j%pF**pHLlikD2OG}-{gK_SqtpOlIO>Hzv2I8&zYc*G3NbZKy1E}g zB(|iz*@))Iu&!ilSWtVO?E}WsQ0$M%JZM3!0P4=)zkdTmu`PG(bhk;mjC$ihN#RW9DV#gQGm_{OoPbqK7lcLQu>^E!%N@`ehAuj5y;B?SP{R7) z1pbt&HqSL-ozozY;e_4;pDLH;LF|bZC1|LS^?nD-AhvM0$36``_ZIXotbGMDb%1|$ zJ4ogcUF!i=`iGHP;%})=ly7^nE$r;ll^+j%A_=~g>$Yy;;2?Vr(f7~R@Kx7;_&HRn z$lW-}jL#j}cl3wZm%~j|56nNtGH~Jb2sZYVEd>c3NIr$aBHVYMkmpY8f!gocDsJF-lOSG0vz`wT(vNI~3mqU=N^e3x5^ z$r6tpKvd&#q@J#Ly#wr&bstFm3eXj%?jyMn@R3SaHp%+d)=5k^>29*m2BQ@YqFy1L z62~1zS4MUfuXTp-p|bLj)=paG1UOA5#hKYz%HrunhcU33d&Y9p&b+yWw4O9!(ENIk z7sJtk^E1uAcnb0jP*9`e;}2wAv--cU(y*eh62OZp)Q=s59#t=eW3%QGS0Q5`^q;cG zPO&mcV1zDzJL>Jd3|60f-3b1n1KSg%s5ZR$PIPp={OUMWyck2Hqf$WEpR3SsGrb;q zAZD{^<6ecPmT&3bvkbD1X|biV^CaD+fd=+3yivQ(T!*?E<$*UKhSA^zO^<6fdI<`l z64Xef@+4r~5t{>ad>O$Uk-G4V?P^vZQlkJhk2tkeO%2q()-0L;Q(b>=*OxlcGO}<1 z$`S4usxLoAluH7Ff+QBcuZs&1U`?Upf|&14czA-Q5)&A_M5oo?l5calVNa1^^mL^^ z9DOeu0rTo#2b#ednk`^-sA$GenvzITkqbfJ*wI((^(=LgZdXU`rfsWz~@)z86C z>NsrQ^Z8{XxUGZ|G}NM_3Jn9=-8Xz~C-rFUfJ@vlFRSxMM?9oJ6x~BIb|4RzwTaKKJ%-ACjQyJNmO{NBy7Y!0bi~`b-rMY&eAcUJm(QIamw)AI z_09+N<8NH0-z}`%vhrS3cK!ThTanRhI(gpuh1VUa;THBt$RnlhXpkpu(jyjbXi`Uh8C1m z&q5aqs%97+=-4_?!TxN|PVy5zq^x{D%>YH()?b8=XLzJeoMfx~A!fx?{pZ_v?`}fo zx_kE+sf}xW)=H{|M>-}+VIwLU2-{r{0i>jycjZJoj&=5)FK1sI6o<)kqc=ZnuX;d8pjT9V(p_R*y2;mH_rZ=sg*6@ z2G6bSAfAI8lJj0wWr2Db8MSox1H-_hH6n2wBWW*)YT+T6?2bOkzNNXdk3J_bHJ+_mQk*X^-(Gu+*CY*FX%7Q}6d%&;d zqJR2>TbeN-wC?Ta1~8{EC#>>$hMEqV&~M6nDT?p#{Pki%4y87{cL$Bs)dotEz(=O0 zpCGk_HmuXyY-D#Dzr6*O_N~--;U?xyk) zc#N68_HtYIiO&cu39)kCOU229?jDAQ_xT1ox>jD}0w1D(NlKFUfYFt_+d2|SD3Jas zMKsA59GSm->Qbbg1S>LK!P@o&`MJTzP1HpW3YV(|?w?6HH~~z#etk&OJJlkGsR17* z%;=4S4mY?kANy+Q1>OUoa#bP(*MGo%Kl~}8-iuXg98FoPxu7&wledsyMVqcKqtTF# zve6Y?j64|?Gl)#qbM7ajV7pe6dMN@a`HF;J6>C>k#4b(no@fv;-d`1CEFC9oP6^Jc z;hIBe8XF&1lgC?++GA<%AJlE!zOIq|CX&HCKEdR2h+h2||7zJ1H!cHihPo0C4jdc< zr^up)GprY{9JnW!YhH5)9iG=-mfI>F-Jloeh0Ei*Y`|!Y+js6vOin&*;tfAP#7d1e z#fTT%7BfO_-sE4@y8!xNlj4e%E78Z&m8eCNxg#sUNoSm~1nvgXN|eYU>=$$Y4tX)Q zA`>N-g|NmT`7p>J4Dvb#seno(+!2p2;4APeN*vYo^79iWl0M`n;D0yn8&xkNtVG6|h%YrHqznAAL(u zYP=P;DatT`Xf#Lj0m=}KmZ)btxVX%~A_4hku+5@MUGUNZ+y)_7a`Cs1j}M9+4sZp? z*a{#i2TDS@9CEI_3!g-yKmUyMiGkIm-M=x2GHTOLh^c42=Q}^$0u2%#9)9m$zRPGI zk}&iUk^V%~dp2<6uQdufI4Ag^!>S$R){(;2S?PiHG`MGSkK!qT(-{~T)Kpb{84;3q z6%F+RnkAGyfOI1w=e3zwDm**regLFsGG?=gA2nS@FBMr(zvaeh*pzlss^BSlvM(F1 z*S?w>?+9gwe{e7g{{Wys#pg?ki%|&jV+3K1DMDpvkLM^5asYUrz`*`Ju(*#oR$AZz z?Cr;JS()_ex7Kxo{VkFMm-{QedkV zFnq&R_=R28<^2Rh63p6Tgh-}tFgQ?!{vJpLp-pDoxDmdfZ)Aj>m31z5dEp#fj)(|l zc@y5pg^aQs!$h9j0a6qXD+gzY2W>C&UPd-Cf=%M{B2Fo~fI62eWv~JgB(gyZv1`?e z6)2FPP7AXGUZ}0T%Erp-hDAYLrwj#b0290)3sdj|3_aP{j`fF%seEU(z?{b0gAUNN zqQ8Q3zsKI~+vAZYqcni`TW#HKUX9e|5*qIy@Y(lSm`L8A6|n!J|4$bTA#QHwAh&)M zs_qjkyyTk!NPgd9{~n}NLvHUgInJdk$W;rtjp3y(wjVPey^4%78En@^8RL`N546j= z)qS{3b#X;jK#cY>xKzSg#pp^_wEz*f-kd_bUz2u8inTgZE?%AzL*R~pb}O7+qEs6I+1SPvRqDGB}ejdtNisVW9kIXHQq>tEyc z*|9+n@5#UrHeRBgQuy}}-jG{jr3LMKfj)YhK-_(f{JI+>RE1wnzWtzyhM>@`UL6_< z%}Cm3Zh@A+ZT&$WQ=DeCz{Ma)!mUn0VN$D3JxDR2z4aUs+tn3fZ+d*N1s`lcd=bVA zJ_KZLc5Edrv@VmhP#$VAC4(y+C$xliq{q$SN?Wedo9UTT_O983r_7??dOhwmAczmG z(b_fdWkndSfB*Md__$p(5F`3A5pD`b2U`C<;|jKzh}uI2R1R13uhwq=_e4lzBEqmr z6BQEaHc%41JVH9&e`Z%h9B@HAjH00THNOe$3VJ%h?99*1@X2h{_W$?vd{+U{ReNlR z%7?zI%v&Bh-y!~-CrCa}i6c7%VDspM+J%ng1m3HK|1&&6boE%y(RMyoSzmgVDv6u~ z6th@@l@pTQ-vf{e+OkX0uqVrc;Sy~YxGC4DPcNx_oUqBF_M4;D-l3#RmE)IBt)Pe# z@j4H@!%Az2Um_769aYXxSr&m4xAUpFd;BY-DKnb>^)kkOS?l-53Zj0Z2={&UyGAEwK@J*y$70REx2WWGd8 zz*sO#++(f1zKrOWyrigj^=gG>HxL!xIQDd6GZ7s&v}8m#`l4(xI51IH1rP^qKVdP7 zcj2YI&_R)qL`c-v)%^f(6u~*hV4x7F`X-#DmpXEeybLAS>DH{VX^i)4($e?Kq8{9O zi8it9`aE3UukNDAhY!;}%No8B-9^P$C6q$GNe}P$LLpxDEzP-z(9oB?D>T?K^>-s{ z1bm#Ls>0!Az2K_o8)(Wyv7MGS=tV~v=x$J)nVZAw9<&Q?N@Sp9q8dV!vxGMYT$R(z zMe@iecU5;5Kd@>#G{jG&eaE{)0PCMvWYNbtCSI!Q?)HRdB44lO#I4Xwas?bO4Z|qq z{ET|hT0?jvp(T>6p|s%>2AEkbw-tnXQawH$>?tYQ_+^mnx(?$wkb=rMj<6W&_uR9E zSy)}f?=-0WVq-a{nP??!!J7aZkunCn+zRv%8W`RIZW;_dBGSgDr}f-coG;*m?r_yE z64zb16&|HS5cjoAuzf9W4UNo|&VG9Ud-&D)LUi9ggMypH$8sn~zrBm)WM<~g=p#Y>X%9?}w6}mbY<}on;2LcCrzaO*wc~o4o}uiA1Tx=h3A5wLddc zjFy+GB?KP?1_az;LbW6O;UOs?9Gf{mdAzHjbc)J2K2>2Pncqp#sF5>^z9l4%TK`%q z_2lD3LU((L!Xll(l!6geG?g9=O*C^PZSyA5U(&#*I^b7(#YGra4suw~UbL>H{Bgg3 zyL7@|(5Li-E^$u9s8Ragrzj{IQ8@%Xv>!m8Z|Qg`&x0bl@tYUK0#thzApg4^Pk{AM8F|EgcF-F^%wm9Kfyu&8ZNi` z|6=S+z;a%rcK)8Om50LXqqSl_^tbq?9Nj6d5uVie#qIn21!8B1z`CL}f_E z3?VY?B!ryblRenqb$#a?*LSY(e7kzz|L{EPS?j*;W!v zb`73}oBrn~kpo@js+I}I$O|$~>VHoz4j?{_t!sIl@8N*?_YksI^j9b_%~h6$g&9oy z&)Hz#mY*2qDhDg8J4Fz5{{5S~%KW4|KMB`xim>|6Pnz+QE__|WXsD-zdTV4?ANvH@Uugu%i=#^3b;2ED>1Lm z%hWx|qWAURj$cdq4LSQY>GDVS>`UA@)wKkd7Le)49fL<*(J$z`TzR{qi$cwy5zEHv zBwIdK(w}DSDtBag@-n$Z<*(@;Fq z{)fby1dEEJ_UHx_B`(`z!zvMvU8{a2hVl|R}`OLgD= zBz32x7o&n|w&YxUUn*Ii82esd`f75t)#vM_88K*2(r-#tRi>H zr=5fi0b6!jdgV|Lxx@jn{$)bT7#gZPQsM4UfJ)G=l&YqVY@0N-r?y_PwJilANDl=_ z)L6eZ&U)?JTbFA{iEHZ4A!OSE2R<;-PLC|rc0-(luvfz6qiC#@S)A@Fh$B#%MX_@8 z=I=~h2C^Q$_g_^TvT|ka;Dx-9X_J~cQM;g`9jx$DuHpi&BIOz>9Qa2O*Bth|7*2ix zCj}$&))l3s8tcaFC4$;m1n3iw}h__%n!d`r|Wp_5CllOvngVk0IMW<(MyWyFiJrXTTCH^V)4x}KMwbxpWhyfW>W4N0S*g%O8(Z{v}bJ8n$mIIq(s<3uMt7$$t<_ z4d~b4SQ>a0daT8O+puK<733G_mlmEuryf1=&Ap}{e4aAlWLnw>;A-lWFI)mbD`*MP zV=r2(Y2SbFP3`)i>-ttpmXf%|x=Zjqyvifz8sE5aqpgXbhn1BT?I9$3bA)6gy1US1 zQI+yEKv@0Hj1OL+;goCbxGWu+0eJla9^I6kfiEy?IZbwheSpBqxk*ZCoGTr(LRme; z)2`?h;omS_K@?*~Da^*E2u7t*16|aw)J@_*SoSn2FsysX0t|!u%zW_b-MiYeifzdc z5UsxfG)@`2|2mM@gr#4-7Tsu^xT^ep$FFZ@nY3B;DpBBXu>!85T#1thH53*d>Yi*> z*ie;5jo#fo{0t>GCM>!kF~-v!Lm$5okPp{p>{H+Y>;&+^ZUAeHu?VWgRY)h~%jeTS zXZ-9dr=ad++dkRS9}?7&UtwvpQra|Y)=W#wgsmzXe{bCA(Xpe~)y*AcGoL_--MD(S zp_w;2;EM|2F!eZ5Ve#SfLpM6aWxZ}2&r4oFYk^f5wQDUM*0XqEi z8a83Ewhy_R?!_YtfB3jTocv^2m-W^G_Gf9(omoT9-DP?Da%B?edp<^V_xPY5-}h$9 z_3cv)wbIkm0Wf9;sua!t6IVQX`EGvVAuM{ft}ngD^Jqrcwn5FfU1|)ej6YNmr;552 z&ds;+d7JQ-meNkgijV_ck=CD#r z3JUA~*zcIOt%VSHN~0%z3zdq`G8g`<(64VT(=9dhAs-z)Z4ao zcXswM)Vj8Gb*B(5^Tk=}x;=XeOVwtX>g1duKG-P%?d9)$%{AdKV>0QI>bCW&iH%$o z^hW~*=v)9H2vsN6^!Ra$;>(<`Kr&zA>uMQ!Mc=Moqr%ax$rM~7WX_&OEpd8iA3}HU zl5%u7?BkB_&M)+R#;z8-=UtGcE8FYp=nN2MMKnKoR7d1&Ip!T*i`Pw7mfv@2 zijCtkTLA;GMd0A9!bET|?=3%VF#p{zZ2dG!BxTQID#Hk`cp`+Tv;7Qy_=2*As>8`O z%iI_d(IMo+=g&A&yJa5%z@XQs>htHuDk^IL>-6*v=RL4%F=f30sqd;IC%VrG>VD|R z?C71iLBTVlI1pCR93ph8+(jbNdQb!V5OUhI+mJ^{lzt+bT}V{^@%=kuXwbY`x|NXv z+@Cnjav)EnF;8R(PehL=!qM5joAZ}Gv%U^KL_@!h4P{2B;W36@xe-JtVk;efKVYy9 z9E&rVeGd#NN~&3uivRC0-l1+MWgi;*%3&O z+o{EYq+Rf0aQ*2wN`ou84B7bB@vT%@$9+__3`^Mz!jKQ1a`EEtXfWBEf+pzC86oeY zkVHiEU0%0UTn~5q3r}ho@^l9Rh`B&x)@WCk!ND+qSc+ zlf!#WF&z8#vz&upW|o!XvU@|mje?q(KCc|d2(K|?iul4Fu2~!L>?bv%jmAakFvifz zKMxF!8dH8u&P1Dq3X~kMr_cmO4A#E(S5v2OUpzL`4O<43B%F^1pSShep`TzoOTo{G zYGaVvs#l{E>}zINDo`*yJFaIY*&hVjE3!f>#{#@L0y@QaqDp0`ISpU8PI(O0VMfDUhq@*eDJE|YnAc{O}9 zuN-kLk8aERjV&}aD>-~lWMz>vJZ<~)%V3Hq!HtY}=55SIaV~5=u znr+}6`|Tqth@mR1830OsK_{TBSJ&;|{~Nq)pV(%0_4v)JjzSCq#2f?6W@56SAa1~N z>ws4TfY%pT7i)SuNrMGfv*K*Qz7ef-E^x5eS{N*umHFMw9O6K!khl#E8nrZ&lh!H> zLxb_ED)|NTU5R%`?`6&~5M2h{er(zHJtNBaM8MSI8G|NV?cN$hZP~Pv*XnN04-zsg zR)HYLjnj@l|AJR}-pqQMP;7*GQ& zU(?W}WC=2oD~&X3MPEj88BirKjF18XzJ%$Uqd$Hvdk&%+~b-OC2r zl;oed%`<`ewpe8V-E&~Z z;!7LwGLkH)*Nt(Zy$i;Q_uGVyuQxAVG;7<|0{d%BD)$sFAZbR8f#U&5>4&4m6M8TC zle2D>Y75QQt-Bq<_H_Y>Z-{zO?Z;gtymLAJxF``RU}4BD=llEPgV{s-N0c<4Y@!J# zW^M85+M{euvK2QZsH6)x`7a_L;8rl9IL)o$Q9UL{&S+hV{D{(D51=9+957C9S5U2J zuo}7Dq$ghgAo!&In>TCfT!2d4YcX$&Th4;fH7AbaLUq-EZ*SYA$;VuSL%!&uNChev zt~jeMlNs}*2A^!4Son7tHtF6tBhG|_f+g|w^_@KV`L6`?O<7qa{$3%>`2b}~7M%xc zpgbJvlr6s5vvVW#h@d}dYj}LGR|H~7 zpy9!wWX8X)_NB#77fdJCta11mQd?7e8js=*p!=i_d=oZzcVRfPf_~P<#Au;dAZd)e zSrf|%>67=r@(M{@;GM-;XFZ(pcqEj%Ds70xPJi`JixUa<47vo_I&kS0PA}kNfoOIJ>Q;emkC}$Fg&uI z?!D^z2Bt)PwTCVv_nWk;Fi!EF*__Z6`ECpG+Y(KaPx6NMsPgq@;TJjh2-w_m4U4Fa zx_TN98V>3HL{rP2+?vL!S7~jpyUJCB%)!BLd9xd==-<#8yOvW@rD{uz5S!f#=TZC% zNK3f@4!-Ntq(pHOsLy4`B~KYjvqbXOhd=yhVh)c?RuX>I%!(qt62 z#$!19|8og01ffoVF!r`H{JF({fg8))>Q2G0!TRiad=eSezp$EgdjPU=cm>Pb!=L4n z(P^P+R#z`AZSkKA6*y92BWO2C-;at7C#Qt{!JAi-fRhB#jwRkMYk1B2_4A%j>HPae zc^FXa7(YCK^-k;$eUFa0%D3p6;@{wLr~IBQPd{&|$4e?<{UgU#_oNH9(HaBT`8sqY zsYkC~W5#ht9#7wLri2F4yHz?T0^+ukQg-Y?xiI1E(9)1A`oS}_o!|f|+1y zj^dwj3dwxYSj#}jR6LD09jS=PDxxZ^1LOM)uv@143rO)$xz)4_kL#}X00q(-djPv> z&6_r5LA2*4D`~iiCm*=J!@%swbXRPG#A+CuH%4?tgFe>+mYiY?x4wze_TX2?IupXvA`-awcEZ zR9Ll4nf&3Z(~f}&dlM2K(q>n#S8DV9#}6{(ZWhm@mq;Fsy)H%47mpXI!v5tM#~C6+ zJ{!67oIcoG%SrFEbZ5ENxDx*|ADSO|$0CLeY4RxWW$T-(D68H<*U7dj=woO)*yX@h zq0&3K&_R5M$O{CLB2|wyO6tA*>g(u;HPXc75e~25w)Z*ZHz?ii+sY}o|M-D5dW|*)E?lT@CNB-+|Gs#;?%$su zE%U#09__Vwz}cSoop$aau!_EYnT|rM?3~UcrL<%kD!~(1@^95DQOH__A@RM=Y@71q zrA;3^Fq)$u)=jZB0}RxTd7tILYyEMxl(_xiQ|0Dz^`s@Gx*qU_`&_($2gx=B+;zR4 zbp07vC+rZZU@Jq9;GEesJF-!mekNATxPAI1NB&=|;lwBhpiybNKn@g(O`2_=Z1tormn{$?w+ zBaE4p?K$GV5hZS^xKN_dBWFK-STio6Wbf|Z}nP_W=k*E{TWx)u0S8cM)N?Yh@A@K zfUoU!UpKaGEdN#~^~_a~z}qbg4we!IOVZs-bg~2KwH)LqhmQEMd$~s3jL9-fGeJY} zpZlQHx#?CzMS3^+e4rm5MP|KEDme#Em!vw#Ua+OXJArJsH{%LtM$VrlgGKb=;H)Db zq#BsoIq@k{!Tur_cspsF4fkC4M-w!hN<)4z^zmaCc1rF^$#A|B{?GZ}hq8{D# z^$}1Aw-;0*@N+aE7LpA@gF1YjAz$P8BSkkTCFcM&gyWR4Qn3Etth=-iy}+cJgA>_G zi{}TMn>_1h00cyV>&iSYDt!PYbO@fFPr(TpG(?qZJpL{Pg2@9!7>OpFftEvzru=(xU{Tk*6kjWVHyi)9z}61 zFlWCf=YTHmzt~Z)#xpr(%t94}2h#e#SBYf%?3(P==H5Fq(y2Ic+NR+N$9i3q_;GRV z%*~f#l?q<;p|bKdk+iJN1p<^(wSl#dj}LeY+5fJns7x|0PK+53vyYMz35s-r%a}3g z6xLJ`vu3>~ay3v?T(n>T{$}_j2$M3hUQX9PtEwU6Kt3TaI6`Y- z??~`ZAafE>C?8z?<9)m%8h7|i4yU;c6u~C^)b|3%{V{A1$)wHSOR7s_bQ(e1Q&Rwi z+6z-Kz&;J;WgR3RE{C@yM>__TOmV|CMSOnJxXmBVrm&Br6;hsiI1YPbZ zhLFIoa&;8rXD9|3dX~ex5dxuHJOTxfLION&)F=xSxSYiapA;Ku=)&#}saX&MN-FRjb!wYH1Ye#t{97BR&aMJTT^&#MfC)+!80ZJ5izrx@$8djvBK z>H%oTqqx2B<2{kC@=i%V!mqd+pS$BS@KGnifOZ@x6SQN)i}n=S&yT^eAYx2Ab|I`lZ&Aup!c@}D@L@;P7vi7?^>8g1fY7wy_v)kI7s4#7rwMExn9 z-O8Ig*ol?;vys*LKvS1<;_r_+ivja*2-P&TF;54^yTd9 z+M)fyveR1V&w2RxaecwKUWo)sr?A?$xH7AFxhHm{&Ij7$G7#&D5(DU zgD|t#apI-ibX|IrwpC5Z!*uW6P$o4rw=#nL$=Lw&O_W{q?)Xbql1L%ALDt<3UK7^e zJ9k%|-boeuMzLO%&7UZ9KqHn88gz;N5Q&GWHQmxO_{ff;6*8Gjlx=p7rHgNEbQm6cCjy`Z zb&NElF0G0Yif}pU)z!gmmrSnNc>kwmlkLeVN;;s|-9m(~Qb`TYw}{ZfEwYCMwt=yP zuFGLf0$+NM!i4vhk5PjL4Q$8z&7DhMOg`L_?ddV!{aXq#DrPb2=WgEY&A2Eff5weu zI5A@+H8JsuhoNA4d(CQE(C4U^tRcsV{yz!$-3=x4o1yrF2 zGP0!$d|-zT7tXE1Q;Vb76}3G{lA+tKojb|=+UVG@=M#)cm&SOaH$7c4Xzie9SSE+4 zqe+-Me}1&1`KMdBC?o5)opSifp$PLFMA{FgC|tMR;WChlU3w!lFe3St7PU{c98XR` zkvI4Ct)WUx2yovHn8+!F?YYQaj?IGK(lR_#Rg;FZ#+xY^CE~e7_{=p(m^T|dk0L3YPu6kG-kdyKKsJv|$|y1|MkjJv`Lgp=qxc1twA+uGJJ%@Mqp*uY>Az0+TW zs)2nzVZtN9;NTR%PUCJ#Swy#z>PmVF`;}TWifb_Kx;{CwB$Q0QQgo9B{t7KU^ZMVN zei5iPfNX`#_=fqnYY!iu%*wj!W2CI}m;U~y(>_kT{h7kke*zpq5n5fQv`ole7oKy9 zyhB)N10UqL6RA$CUt4ox9Cn2eH#fR>6BUL1df)hoHV zm1OguKhFYs;~-qJWJ&%6x;C-{&}X8UXw)e4?EMDzqYUcSL~x~m zz3SEk3RkwsVYUeS0#`$ic`I$F@J_8TNT8b3#7e;A(LcxCx-{+rP6BaHYv+xEs!QToXA3AAzJ|&~<;_ zNS~%I3VvFR3gvoVkR|TA`EZJY!^T~^EI8D0VuM>}{t%%>ENg*la{YT%4mgl5egC-Y z=XUJkHjLgqdfYXA&3DJ;^Go<-Hs^6pPcmdY+?ebr+Oq(4htY^C%Z%E&(|qaoFW}YN zZZuqnXtvR$`+|~%e5-!Fm;MJGrf(u;hy-D^y8a#*&_uIrn z5ljXisg7yVlB8RErFFm=dC_YC|9~Q4F|B4+VSEaUtQ!R+kBFAE*j`@Y>Ygm3$eKPu zQ1U_nK5~!Mnjuj~8hLv{5|!->leb`Gs(l`CdEfh`s-szfBVa{9JyTOO@!vQJ#4e^?_S zBb*!mzf$|oli*2t>MAFkFC$NU7lljp6>OJae|3HKJqBA147a+b69UVYCH{)dpO-j;bxGDjDPqTJe){&fs64fdU zra5wHCQVay9Z1T@gt~^12B(IGhjFa;U(B%@U$s@Nlf3i>JF^-j026yHf1NTmuH+WpyhZ*MhfL0FTbk@?) zAVU{C6ZRk_FRb~#9d+Ng<;buebAl+1y1U&ue$K6ih$%ES7!`2y_lk>)+sv^t;2n?g zosBvthMppp6xyFFBhAJ(W>I!7k^M@j+4MFvHU! z<_R@}_jJ>MS9YOqYuq26{#y%RskU7wc?eZThrYDcXx+Rc-(}#vgz=B2j$fL&ckg86 z{p4~eP^fbk$-Kj86dj)dkEide7~VcvQWl+3qB5nPuKD&Yh@B}rrBwsK)^zVm>#8F6 zFW-||>I<^F=8#dJK2h)8?LhaUt~kBRy>g|?58s6gv(*J-)GU+Elx472!a9&TY@Yvt z+dJ4_KNpy@3=ie18nE`sc|7$hFC0n z3cmoN8~ffZXk%UX0Mlu%8##DcGxlu*It`*=v3_r=`(XCS$7p@4zVEYjopemQ6O5AP<8I-=+9#`JuB;oX%A)*OM5Dw!K90*<5_6lZF6#E~ttDDXI+Bec}+AxFNo z0)LW9+ zacT51x^(&S{ZHL22TT@u>$KAU8$bT#0|{Z~HMbfuJTv4K1KF$m&MsG&x3sMttv7a& zueFgxV)JbGqWi=A{1HkT077O}A3mhLIT1`R3_U4fjRf0OCwN1EgGx3+orZYb?%kOT z+OBu+Ih?nofX%GPtZ0KQsK;-Cs$`t-D4k>Ux6YRuTF)NR|wqoF~0#sgnB z=ovXRsRt!3BIWb=lIB-k1kr;~P>OC8OtJX-ypCzo+7$Uj#447bSkFpyMOF)c4{Ch_ zgXysDKt#ki>NnB^ZIU%X^51k4Zk@lpZ&%uH zU~34_k5~3T8rkS8gSbh$b;PbA0dJ&s{2pbVhBC*`-TI>G>Hpn__PvP}q+uCh(x3D4 zI~H^-s@Cf2cJ}sgir}r}^9Lw4^~_q{q7Nsr8TvvIc+qjx>q9T;3W4Y!Is1#e<;K#! zr{hUSu8?u=VCc$~E!PcdwXVT!on&X4Iy%s+ci}=zX0tOrcS7W%TeAPs>!ym?c#pE3 zZ3Q@Qe?4>6t8=f-ERKk;V%G(auo*Zoc4^+4b?eGbw5eDHMY!n8hlxXnt}YrI=h5v>~rkL`JX zm6)EvG}y(}1)~UZbJ=#q?1_2l<5 z5bGXl(DQuKRDai(DgiJe5R%|?d^x_CV57*iTcCF%BH*8y|wm;httIJzFq zpRfN3F=_CON%SbixlWdS61}92_Nva;?Iv{~-_}+tWs%shj`)-3LsXKX? zap6BVq{PcEFbDM?G{%H(Q%88uFF{xI?*Y`Yc;(*zJU2U@Nbd7}RSaqo)4T(Z!;LAAjPE^J_M-)r&I5a1x#zucQY2|@ zM6;+K?x__W7D7~)E}#sloDF@je2dU*20w#09I8SlMDJ^&IF*N=9)U?#1}F*JpdHTI-pXHYep;>E%EaA{}XLh(6_gJ0|kqUVj50S;OxQ{<##j->J0g+e4*p_CP{M_(1J+?@5T8>5KhqW)86_I2WpzCcubw@-Nrh3TZw9Bm z$^lgJ6 zx|#u+;a)}d#5xL+lnYCY!Q zYWVZh?_W|<61gb(%+EoN{(TUpANuz?!m{L_gm`uA*>ki~;cjcijP6hIwQB{`g_SVQ;Q9;aSRTKk zf1UUt8UX)VQ}d8ixPEr&*>WAHLQ^ZFsYQFMGH|Lsj-hLnyb89+Fq_=)3Gm`u%mC{Fyso6*PB?~=CeDP znvPpKgqwXZN1>pu<+LvP9(=abVC41Vxwc3NDDu?fc|r-hA{}ju->1g`9l$M%Y1Q=j z0FGLSehM&lAEWFOClHBegXmQnB#Z!}i2QsU0)wpt1zS{9wD;4aM~{FaAM@^U90M{$ zb^aYobV`x}_^0sqF5jlzNzr?p-N2#Uj&>bc#3YGvjp?Z9yJQHb%v-`Ko&^_VQ@r!i z1)B{=$EPISQ_P*ezemQrAqHSx1`kG(6MjFj^yabcyLR>1vBI;aysN$TS7U*hD6KgA z0WOe5GW5|GXkv6{i(#4s2lTeQE8P$D1Fff<&jFpo^Sqmz9JaThAv7BSF#W{Da?yA$ z6*PGoev?FH=*W>#H$&ZMwH`EZpvwaK-h5-pDN!?gxEg3;-UOD{&b9L=62iTWFuH zak8mZ?sr#mvZCcx<QeO|_*LHuoCq8itmB#P)`J8Jh( zP#Y?7{(r)=7KLy$9r(>9scLV4Yao0Xj#Yb0hqR2uZYy$F-;(qcsL!I6<1;)65f0xh zG1`JVK)%q=Hzs{w%64!{R_^WFb7@KS9>wdgIDENHf7ollsJ-cI@ojAD-A@Hep44M@ zWeX&1B}02taV-Yq`{iBh`>9oEM(=!m((5sPnu+UNT&JQ@2{5*DK7BG)>DgD8=HUws)^yy}mqKo4Xa$qB`-QWze;!xx8^i90yAOXqmA4+l>CjbC-dV z(7g52>;3g-@%s0FE^|Mhs?|cf<6QlVUrbms7HQ$%$ zQynvYYmM!I5uwAEpX(@-Yi>DUUdg7p!4qG6zWl@J^w;a9hS#>2TwnYsNbR%B3-j~W z`W0`#vHjcL{rjO?^+$QFOPW=D(63S+%!Fx=T*Hr*E`Px||X*q%z#7h7{z4W;_RPYU;xiFdolZl|Pck*)H&*P+Rw zVNk4q{7X?+Q5okRb8>VvUsx3uWM)8XEWLu_0{oo^FUEx`AEv z?w!Gl(CNhx`u4iakEq^H^9g+nL?(RVB5#x&zC8~_aq2c@?}mq!jgn5CTFSY-d-rbe z1WrNGCrSIR+C#muy?pN)TF;lewtRMqm5uzeIF957uQjB`OqFewt+Fqd=*GW-lZGuw zsVWAH7?IB(a-zl-yUHU&MZSjY)2o}wn{!Uy z(J72II83a!2_R9#KkTrxtAoQ_;2B^$T>|^|@9kP)`Y>vU_@{JYT1XgcyB}wcu4z#1 zcaogmy?WW`vd$*Z6hJWSpt(9aI=Z4FGcr^4q*C zVABv@AMZ}oO))Xfqeq{8H|~a`@FR(8DECKWPnk~=EXlBHtyO{2Ghxac-1qsguHPph z_B*q<;^7IW+ELr*KIxdzN^NZzT^V^xyEN6*^qeuHTeCGKCk=l5_#t~Yj8OtNy3c5V zzi~=WL&G!}*ca}VALqZmRnAn*qiJ7$2Hpc0h-t%aDAuuCSVQ5zmJw1Q= zus?iw_3*@J7OzHfuyUA#Wh*@K*D7LvEj<#B+LEN?^d(<=i%gfkQ1PbE$@FtCZD`vg z=xF#K^o;=KCVvg!L&whP+GFtG%QQ@Z7h2~VZ(G5Jy4vOjzN^7zJxB7%i_Rg*KqBEi*eyIU#=`ZZ5Y}uq;+j{SaC5@NAplzL;nqd%odK*3p*1=Hequ z)$n{Kkr=*P|BOrXrIzXP9-GyZgS%tMTwo!7lp_`mi(c`G^3QfIa)xGH>3od4Up4vd z86@erK55axK1Ih6@O_9@wIAv?N9Nw^1prU)&W`P>ft9nT=J9|HVrY59$5YM zwY;g}tvAc0Nh~i_VGQo{+t(JfIVan)aB1s$85a6$Opw4NI|itFrYnRTwWAlp$X!g0=;GUa7i8P=xXIn6&cZ@%WDkU&v> zg8ITlFZ%TQ6I%i+;quh;--CIc0R!?h&2)6cU~)hgdi2;R5c^;Ft?ARJ&%HIiZf$M1 zUfsweQ$01Ndk2F8lTAaauz*$$Jx7@V;D(j}`Ndq(c+TK1d;J*!{s-($L6oWD#6HBh z)7aRUWP#%7K44zGdi4hCZfeu#tPQXI*)qS-zHs*&Aj~j0qnRCZ%}(9A%^(W*IQ^Y0 zHQkiBD*N>QaS+WfG($}x>@wmAAs3%d4+1$v@|)}1y7R8i^y@Y(Kv!Thv zQ9+SN1=+1hBz!=H+3!x5i`P?kS1-7$F5FcX7NSDPa_`{kk{W;1-Q>gF+f?z|@c3nL)ftK}#JOAy zFS}Db&QZoep%WchdH&~G)F1m9UB;bTw=h0h3CUf*J~Yov^e(*V@!)Tqcs#|_g@1C~ z()hMI49fu=L2e-`fs$2g(d#*14LsH^9_;Y-q~61o|GGt9B92owxZt8+OdrWTnQb@LDX{`8Szz-I5Y~pbe>qOsRgQu*Kt*ru(jZIq~v)Ci_9* zx=bXEbU=X{)}>pwb@$D;8C}r#_|8jBWMK8Zd*hZ_(vjUXbSM>I`*^0xvfz`P>)lTf zgHQuEA3N4}QLtM!vkaty)+`@>ntt|_n5Owh{shF)zhek4ghYhKAcIl*-Mf1ao=@5~GkbasYvBNY7!IW##<=2xAh*g} zCif4#eWI$d`ImORdd=p#a<|}(*tS|a5kO#;Uahb0n7wDuBw?UCc{0gk4iEAw%;@#K6rfl>6O+I5C>+{&5jW|L~Lp57VEjt9|hWg#P==@}>%q}55 zez}>Qe+)XES+A$DX^AdNK9mkvW|@Yd_3L4q{AL^m1G8pdJd)h>C?P^-`=8u1VOTziQpDZP?=+0j&E2dEjc z9yDona1y0$($2@=E4w?Io1Yqb!{(y>mc^Xge*Uu6UTA^gTU3?(MS!7e(JtHUgAZXvI>^J zEo${(SMlxJ1j|kLP6VvBNoTu)RFIdBcXk%mzPR)=j(pA@mCCMzM~hRfYQ=p`vyL4H zc4-R39~p)*eimsxkYnHMraxylRS?U}V(o65!RzHcuBoSL^97)_{v#X`h}}sp&`NKTe#*Bz)7)*-nUmfEU0_jYPJEA zPt%nOy~nvu$k-ektG8*0iR+V(e=MpV-uQ;RO$T))MkFkSze1>PFpAYCcffz`q14o! zCjOoQ0Y?}KM#KQ=+!~-K1kdE1Te4?pqBHD83vkJ{6%3&o5 zhTbAUe$|BQwo^=X?K#r5ljxOXOKPWn2m}lK^r7n+p>&2AWPi|db7Ju#p3Cszsy`kl zcW+sRNM+FA!H6R`Ag*4%y#GLJ^)(j-fcSdMr5+4UtkycL{Gr}CS^K`UKTn_jhM5E+ z1gRcbP+j4oD_rzIkL^=-lQpz!S4tI3hX#=LB>x`mL*P?-hxu8Oe<_%__??BuiUu_}(7c)h${Y)B3B+DF8CEeet)QW{cP-d-gm7 zL3QZ5Gb(D{_b>j-ESbEZr{*a;wfS_X=3Hb$UYj>YqpGT^9pZU@cW&RldQU}J8Fl0U z8!)2LCs$Gh;+Qe_RlyUs>)H8zywL$v2I+DUKMFW9hI9}kC^YDlX>mBbE?!%(?c>Zj zl6R71C!AsUqZTWk}knJPw!)3EQjs8*@9Hf70@3dRWJ6T!sEU|rm~TkSI!Y& z#E+RXNp4a?)l|1eMfD-@zC0L2(g-8G^pX9rVZ*xjIp=)EJ?rCRM4~(g8zY{ifH+de zO4?%^Ik8I_b)t6PAk}8@;B7M>+$W>P%3-(N0s;fEw&ec(jGtl{9{|Yq?c1ME5lzI- zU7M}BnBFXNm>3(2`F8P3vw>u+Dm`-IGP)V+R_yJt1-lkjbiH{EB%`seuD;pxKi@uO z(>b2J!hF^bYFCTE%I6>VF$IwklhaSjE}dcS7p^naokxzMF>p5%ygN-b6x8>DLx=i$ z95RX6w(ZTkcQap2NDR%JtnelG>Q%iyedb|AP7?HyX%*Vq+G2KLQ)SsDX$CWBlG-fv z(SJTE63dC(#l?BW*3#m5_0%K0x}>DsG`FX=%wX7kA}*4;@pDDV9AXY{2(3F=CM*0q z7;~#1fi_-V2?u8NU-f*FOqbz=L4kqCcbnFeS|%SnXdKYoXv$s9lW}puefJnK+t6NY zWl5{P2yvQaetcAD->cybe=JtKs+@T7&YgKISs;WlX7^!S$QE|x9ixrQI{HVij>?C_ z(FWpaSx!@4Y{cTDCL%w*{!P+qhUv{66R^IYR@nm2tdi;8y zlq4fiJMUNBWAyv??_c7!Z+LXYy&V+!eG=Qx(riz)S$dLr@YGF_VSsNTR=e%GJiqMH zoIx_y^9Q(fY9c2WLq+4U^YxoIb7s#b`)#kQ>#VX;vHsX%53&(y-;h&XX*{}yD){Qv zp5<~+`N%UV5z)~&zs)L1Pe@DKc(gQS%}yOIz8jlJ^mChCn%HJ|bFvBP(Z(J_zWn)S zB!6T$3Ms_KpG~H?RW+nCZp4Q7cz(mB)UfeBC0^HG(1&DRPQ%~#T_$hh`%>lxC>&M} z{v*V|Bm1{PwzO?%QUgAQk$J%*39NQ2{S=04)P3DAd}48^-@uJM)pc{^oLm za~%@Eg`C!LE$mI@u5FznA4lbGDC6Lf7Kk}qOtE8FXbqF>f`{=RZ&A6gZTs5?zo_>l z{E>5u?0V9=FNik0Hqa>DzFzg-(c+h>hdcJqrmB2uv?^9zIke&|X^-mtCbz|suicJW zX~$AjAIhx|BcN8VzM7wZ^vDsQD6QV!Yj^E(-*N{NuI8;<@7T0y^!V{Y_)e{`p+)aY zxwe0Hj2r?K+LH>9mWG1|4otnDdGOe=&sqM@2t^UavGmgsmpLNHZmuz%kW837QyX<# z<+QVQ+{vr00(yM4bL-adE$!pl|Mnn*O`nfCu6{k+=d$*VVp7A_bfj>)q(_l~0Y?b> zIL2^5J9VS%28W%$<6cCM@US~%WR%i7T`~FKKf&J|PdOPM{}fps0~j|QrPq&t7cX28 zXBt-$;XVV@4HDMX-Tg*w%E5!(m>bLR(-6nTmV;?HtjXF4i;{RW2W~JC^L|vexxl> z5QaAOnGtaB-aU*|XnKISA+ZMqQ6@7NHN_IEEctB4@cpwCjAZ9zBV!&eaRkMkG-=Xm zAAkuCj(KzEzAe~&o*8C?*J=&0LH`DpLo!3J0!YM~Fw#wVd3jFGm#ToM?dDZ!5Gw_1*D!vy5SmKs22qZ5c#`&u53n zv>hy1X4y`2HJWpWLppSIhvDHS3fiyLq;o6}(TRc?^#TUSkG76`$LOswqQfR)fBK-W zC-Mypx^+94lF~tUUg7F#;P@0SHe&Lc=qoKQ9+psqw=@d@&fnD3^i*Z8f$zxv{ZIU2 zU31ujxo?J!8r50%!P!Uc*n?UG-Z-=00};W;$a}(kn?tOEg9kh6hH4zsy5sEVxX)7! z7`$Q`Lz9q!b)S$!b5i$BLj)Q}J#prYB?sZxuc1~?$Z(KW3n4$R)_L4G@??!o1O|Fd zw(rRk$6H5(7HmLIX>hIslANV)sKtxyv z&4z0n!V(dnGH8A7td5#jX||k)7*n_99}5ge)+=wpTc5PTz{!%Smj4_|!QD%9Womwb z`MKajcV#-+j_&SlsenCKGSI8ReV20sY?S-DY})Us`D0uDkc1-oh!ZGX2~HISyH_}O zr8)zG3qaz+N+Tl$9~frCwTm)k-n>lgvOoe@wZ1cEWMpKZfjI`%$A$Hw4Tb%qW?m>- zYIm9Mz&6DOI&UF~jYE~P3E};W31yy-{%`Nia=u@g?O6ZVl;o4bI-1iTY zOAsD&xB)&@)p69Qxno@>`TO_O7@9C9>hYCkn@AilwTXy~yxMZq4pW(ihK{-t_7lb+ ze0}z64X2%)o306(z|*?K$-cVCI_?~bpuD^E?P_k1%O zf?Lteo1$BRmZ7iJxw*FUI=Owi+MLc0kXSTDluibNJ5^+Mp#*HFyUeom-8*KVTx=<0 zxJrZ>j+kbP)OqC^8WU&CXpI#SHg;-#H*65yBlrQIG;96s7-g*CQYEL-Kz4UnB86#P zZ71y$gIy&lxK_t?^s17M1~5=3@M;H4S-dz0LNCQkU*A@D)7_Git9|vGDAlK=G9!5N zk5~G9)$4_{jCy+NYA_o)@+e~QDRfa%96(a|1q4L63tnq=BEhtxSMvk*3x(!sYo8e{ zJ!J|2hBH4X>pX1Oxbf-v?D9W;lI7_n~TE`ZL%028K5lnYkc z>qnZ695$>K_Q!Jl>q&!Bb8=h*?@q8A?B=$^x$B+svB0hH@p-iuq64`lX~{H0S2ohY zLx+mXKcWgD!o8`|%krFe)s~~5(rXd_4|P^o=d?43q%t$Bd3D^l4Ku||N_NL2>Cmka=6xPPYegys z%s(E*Afz_78|aZ3Nk_(lqA!gyEb;hC(2Rrbr)zrq2axV`hTD z1gnEi9Xn#M1?NGND<&eM7QJ|JV4qeeJRm2H+V?NwygP;32979uQ7UZi!-LvJE6K8q z+PQCB@u!FTdi<^HqKG7^jxcwHhFzO_Bb(*^YG&DkUYF5S@Qmu>T4;DWLPU%ABU^Db zb!_dVL3?g^u>rNjzeLZS^lPa3x0Qk~<>uun$e$(e^}fEn{OMEONZYydJzHBVwAA5= z#I^Xkt<&;N8y_dA)R&)kexRbFV#R&&HdU>m3 z;CFOYQ8v0dLdbu0T+@+9>unGON2ywD(pJ_Tq`#4bYFgQ(P>d&&*86Q-#59 zy)>y-q+pBZHa=GpedHexO)c$AZk;f@aBx%Cg<60koX#zy-k|ZsQ zP}BTt=VjD`(wV*@V@>NE*Z=pk7s^3*#bloO0wxuo{&i8m-u^x&3D^DPOT#D1?*I7- zze=eiNo}mN&RP8aY2{W~5HYA-RG%pC`aQ|ocm40Hm;-nGd*WHDIH!>l)vP4_{>I+TA9S;avG;mh%GOj7)a# z3HtlM*}6ttiJ?{ckA73Lhh47Kmd*^hay`2=LPheiu8mNM1u*Df;8Ee{qbN1v8oGYE zajK`dj@?-8b#drGt0;%1PJ|4LuNrS{KKP5A160@q72R~P4fNyM{_QH`|C4}0X6^l{YRzq|9WPv&&ehU5dZHARXYFd*WXCzWc2_C{$}$f z%Qo)6R)}Py)H=;K8o6$A1>DKVahn0VZYh!wl3dGeJacrM}=2eOvO^tF>%r#zQ?CIV14}&50 zJi~DvO{0rbpw$Ok?APeo5_;uT%T(9G)=R}k^A6>6#D01uZ;|TC)q}i0@tdK4>-O#P zm#cZ{+gs?nLI;ncT%&M=JLvRyCmb)ro2gT2|Bv6bvrgt<*cK8W32TRV<{d+ljK9;p z*_xkZ@JJ=m4bGv{f90FFOddk;*V6f`8%c3NE0vv0x)yRlAENq1*DJnt%O|rG1DE7K zw@e$pZQ=zX34Ez=ba%d?CmHPR1trlF77l&pW&Gmx>!gC;KcOnARs+v(@unlYI}2jJ_E4dh6Gm zWw)O{c~XetQ8zp+Y~w63@dZkRgL&QYkL!xMIu?3wF*biUeXOs~@NMb2bl%-inYQ}m z4dac`(fj}0(sFXjHk7Du0tfUeP#;7p!8Ja3;F{mes8ZwP0@wKI!=DAkUYey@^e+EE z&vh0n?=7xA>f$)*Ud1@$M+wsxs~4{9GkEyAXyaR96B-)1%XI{Xz!Fa~PeoTP1YIqzRY}hK7V7Jf^|O z6WDs;yVdJUjkKkh)tC~TCFg}t?CsCVWxl97<>bjFetu~v5Oy!REXT2bX7PtpHj0vA z6W7RB@~KOgwrbO+d(gnWBk4{`D=e^F1o5rA>B_x(*>DOg->%-|{#8Ya8|UNGW!3a8 zLpsn%hNqgcswy4`r^$AOPb-*)%9@w89paOc!dr(ueDGlV_U$GW!^ckiKkU8vU(V~- z{+}si3}r}$gjA-;6csKcQ>8hPCNvlmQZj6InL|;eB&3N(Daoudq%@OEX;6j`34NcZ zz2E!2@B48-9^Zf9bNyi3q^|3Ho##5&I@WO<%e%AG+5JzfJs4pPYT)YXNc%-|+lrx6v&U@o9nsAf&X-Rnka9^$;LV3)hcL~fl(%Tg?<0-(a-_`QGRvKPZ)1pcuEM> z%n8Jei`pMr%=Ee=pmu~o@^m+M7gH>(zK6}>Xd-zn} z*b~toUMERCKUk3A_EREQZoY0)c5kO=vsuad{jb(7TkzlhXR6A*5BEE%*RU$@N%t2& zLtCVKxqMlHXp<@%%!N^r?qUo4_VkAI6FD{ z=&AabK6#>$ss*uYpr0N)@NPc{f=@37a|^qMvaO!Cov-gEu6e1Ml{8NofW;P%i;q`T zRZaD3NM5fzc#xfKyQCQMXiA@by~#y8LRpZ~S#1(FNZje8Mv(vVRiKW5 z-MGZ)$j*>RdZjMpNBdHU>TLXQ?XUS@^6gq*zI++h!5Fu5{ACt=12|x2gC~hQOKOmj zr6pT=zMtM$nowksd;4ha_Tl-~SLF_xzM&Iu=MBs(F-V1;NYCMx2o9NHyXr>Z1SzTR zf4~yhI-bb)`v~^x;HQ_!oitOWm_;3PO=+DWYv=2S~4;P^4dk1@a zABhtET_~9fsb~R1FGohIx({#%23@;W!)*hp|2iT+@CaNU>YZKhc-PD4D|h2xcJ+gO z0Yq{tjq5lFFc*YiKp0CDFTW^(i~XNhDEzg5{)gYxOpE{j|LYIUV8URipl1rHv~EKE z!Bi0xG4yHr26kuS?}yZXqp8@3k75XTSRujr;htoVZ3YxKI&b{*Hjji^E05_OQgPEV zP5)7U4<``@85LRoso4NFE!+-4=IDw7+u?->CHe72R~#hc5)*5SF7*F%%4_}g>%R!A zZRRBc+5sv&4AOiHdNj{+I>crONjf&ywsMW9UcQ_Tv+ zWN0FV_tq^YKv-H@ zdQhp+m4LJIzyZ=SSFgf}eAob4NU9g}Wr0rAT7~U`E^xh@h_3+jl4K}NzQ=XfP z*Fdr$o#XsePJqa$;d)6QlUwY_s#=HY4_0ZM*)_Rh{xZ;VPaOix5aM%uPTXgwa_ z?&sw5jgRURM*8dXP`#lxRm?`v)X=}N`JXlZ59RP z51-sOH>dHBN_Q6!(+*_ENBjBs5oBg1zzT1(iPO%XG^xdqx`bx+^B(K39 zYipxJhHCa#$u$fc-%k9cBF#||3zSL@2ffl%V+Djy6beGZxetsx_KN#T(|F=*FM`m`NZ12G`*(T7Fu3L`=xmss*E?vF`7wUO>PHrl>CqTLKs~bPsDlrZ&8t^@R7fOyjK4Ofw zpWf>y8I5lgl$^Lj%+=pqE$@RUaxGy>Zp)iN-F)*GEov&-tp<0G-OP&)>-SAFKb@*r zmO)PjknA_t80VpT3v5H$DY3iqW)~gzdGeLZK2WrO?QU%@}koWq&;Ky;%4A+{6OOQij1EDRh=mP}1+}RnL!sHR#oyMPy1p53XC!QRdsQ^^T zn~*7Jxx5SU;j=UpK;Kv`Hh8pTq^fFO&X}MsN2*kE{eS=YLJ~@sqa&P0r#Xw3Xvw^_ zD1OIyd|nP}PMhOC6BjWJmbme!K|y^AoK;3p72hW0a^05st1P;h6KnAiyM>bpM3`E| zYd<&;-F%toJxisBFlOS2KX@>F)To2j^ZRx0KFCimWy@&YKXGII@ws}Tl4ZI_k|)D= z9uqNUNvaS3kWPLQ;JsC@7WrlrXPiH%AVy>++aXMpZ?HA-E-IF<(C+t7;M)cs|*kJGNj;{?iu zDr-bOFL7CYai&?zJA*{0+2eE7^@d;dgryW4p|vfyb+BoJN~xmzymdo`pB zqwC0MX!0~Pt+YG+b7@eS1{}Qe^?zp~=yVk{g z*|;5k!tS6h@3_Zd*UoeLjIvb86%_a*RYcsmMBr(@&$^1|@a2B(A%EuYDAiy$e&bhW zR+ewwT$<+*{R19ljP97$d5)(0Pkl$nv(vPk++9keHtLW#LxV;LP~CPH9G@D0-4k$+uJhk2NA(dLe;Tb zPR&OUW9jL=y!zJTZkBVKne&@+egXXr8Z?O0a$)j$l*C?3$Lv~X!g?~T8m)*eWEpxt zfj?j76fgHa=9u>R?3U4wblB&#i|oH{4Q6s7vz6#O8LQ6I*AK#X%+fLl5f8}B%I~qO z`UZ@(Ni+z9b~{*PJ3EF=^L-d9G26;DmU=SKEMC0tDPN0wrO24uogQCdw{$kQhR70- z7HCYE0O?KV7tY`upRiFjW+ocu$YN?9a$`l0+MEg zMi!=~GbMCl2|G;)f_+r*8>W%dXVrwNkXo;>$yw0)L}!4J%f``5u~T5isL``E%0q_4 z-z%tmaQv>thNMv2IS%_=`V|P5cg$L0e8PNL{bYJ&W49S%D7z1Mj~>S zG0t=R_)A;2ZsnQv$?@^#>LeWuza7vm7t%PZJY~uhuq%WUD_5;5$Bl;M3Q_^L=e|yk z4_ckLVrug`vAI@sYq0itVQcY*s26?y{2F)nlQ^OG3@(r{dtb?Q1QN=X<4qgAe#e+z za>KhkrlaLmP7TT^OGxm^$B!Qeb_)q9M_sb7@>jvF+@;^i)d(lMnYRTMRw#PfR_lDqHxxrMN%Sy@Rw zgcD>JerNiqUUW9aNYi}sL(?XbMizrs4OS3(jm>}~?j`rR&v=o7LJZQ!>(?cTO9j}n znF@o2;pOV$V*YHotLqe4tsD~PgcqS=0rQK8X3z&bA2ns&o4p1q-0BQ#wPJv3K=A87 zb`PgOaCdW4$KT6s4*6wIb#t2)D>jiW4!T^pxc3vIZMu)1kGx#07U}^kHpe#t;^upp z_;?T8>N7*hkgbbSl&c131O?B*U-r5VJMY;l>eIX7s;Y(2y07o^UTujNKm?UW8&#m&OS7x)#dNczIr{%8r;CbA}g{4n6Kn&dTi`N zy?0ZtwV%IOZPeQT6^z>avbIR@wc0yk!og6yYjr zY@CSDRN8x#t+IXp*>cBEd(0`B;ld6O5;Lf5w47btk7kO?gkuSmR(t21^tqp$6%YU} z(V*bq;XPzfE#FN3O#UFsH<)u^ISw7CA9Ox&m>Z#QWphPPP!Q**@!Pk)I$NIJx#P$& zWK9c_k1l#{KZmeU&nRX<2F1x69~~?IVcG9W@vjp;n1a8rsuH|tCZb_20Tj}?w?=qs zs*v0s*t19EDY?H!SsNK?tbLscp6{_~6YDowO)ZLv?vo~Yz~lxU6lNwhQ}54fS9x2Z z*T5rH^#);M{uAX!khkp+QSR3ocsD!-jQNB@g8F?3=i+upB;uWt*Tw4~Jpg@%Y+!du zMLDdYSzHbJ`q@y>+ji`wE1{HT=tbhCOCgw^?!4VREgJetLshOF83~((+_I5s!F)3e zK+46|Ew2;L$-&;$)L5FD2H;)!+l%33U|?^GL#y_^bllq;V;5MjTykcQ)3f=^zoP9;+iXo@e#FpK!Ijx-K@|MUCukfvwjch*K~%dN60u%ffN zaNOB*Hv&e$$`N)!(w!zDKj8513pXy<)o?+smrk8dQ@ybL2Z?w0|Nf8krp^4OsEKvu zInd4+f*WA0I%VUB(2q}BUYZJAvy|vqRdp!kQE{d@# z;^ILU(5QB&Sk956uy)4^(uEIdj~!Y$Az&SLbftKhs~(ORoE#s|Ag2R8hNNSb3eJZL z=gx;%@Ah^r|3DZ@3`O!RAcjlOKl86 zlz-@QOcvmXOFOTZ^vZy9KbtloZ3JW_mj}4=zmQbCzzQLQ#p%&MLapxIOmtc9LwwA< znlKvP2=t3Z@V797O{tALD{64rC_}m=N7N2tzCo4qhP}fDJMNd(&T;x8XY4N$w^$^D z$Pj?M|9)sYx><*$T#*g~GI;2b``p?ne<_qUNNsCx_Q+m1#=`Iv&qM;dCFacu30EAo_z#UUe4gJ}976iTUZ)&`L6Yv>{0r-~ z{&r0dXEv`~fl8r%<@|Baf_LwG@bDq^7nhsh(GFZj9F^d8uGmnCNrhW-n;Iqrw`C}O zW4WcZ_0QK?-JNR7YhJyYE}_x}DqDE6Ms(x2PDRQ{6~}EGep}(#zMaTCW+mSHn>3k% z{C_fq-bbpw-*Sk5Sy@>$Yoz_n)tdgg18hR#=u46>#9cqWbK_c7zkPk2!Ofb12q%#3Nm_J5)09~~g*M+(IVlW(BETFmq0uM)@ zdyB5#)vEx%pJWaf2e{)iO2xjbs?S}xM2kJD2aEEACX2C|S%=o!AtFbb-^70bGA%Ue z`j5Iwe!wAJb7}cyuDGCi>)EwzE6YWT`gZR=eP8-Ei+(5k{BoZMN6{SdiJ)>{^ri4( zqNgYin@fg6OeR8YVA=&g6b)kzpw(s9jRS)w#jFojV_{U!%9vx&)0 z5BRH-y)0uD=7sWffFg&ztjp`lx?PegdknYFLaU{|5;oGk&qsm&n? zdb?38zy6NGs;;@j)7Rd~L;UoZqB>7P9QyjxI9etms zh2F}plm1U(+i91lH>5>Ff_5l{TXu5__sXIx8~rvK|5yS3KN}Pn*42MyZw)uiPoJr1 znurVWb?Zq@FEUBFi$gm7GB(Wts<~j9q(7kR4=$?O@Z&~X(QB;H*ReADmY@n zs0-$}7JnTZNOXoj{SLA}qin>e1tgJ(2hhZ2?pnW?ajAZN8~@S?x`|!a`H8Q8K!6xM zOSqFHGI*#&>a4^KII}@I;HO3ywMFd`F$oC$!+Vs`TrJ?|AT0`7?$PGz{YKebgQMLs z&cV{~SA=O8z3l9hm*${T$Zc}e)V-H;wf*lN5O3E5r*7_Y z80enlBN+SftS(*@%sZI}IDiwgaB z?b=nd`Ebgk=Sx#(6DFylL}p03ex%BCn<%Tq?{gN?zol7)Zh|VQrly9s!8;~6 zcG!7?3?lOl8SWxRcp9jP83`1o^sCW}Qh}h2R4d#DE?aV+tf!~UPVQjLJMy4DV4O?LHD?+0t!*r4fpe={+$Pr^p z%g9T#VqnGaO$w?;c=0X1mxWg5)hCn>*xCP9?=JhgJe~_32^iYH`8Wf8fX}~|9hpfK zM`7bvHpt*)aIj+9p(hi#hyL)PXIk()zf$pRfp?6XDvddWj|jX&7C6yqJ}pq(AB8h~ zV+Z|)a*ygXw^}sScYinQ#)Jc+Sa`=rPOwgmzFiw@F))l+g}2mHw*gk!vY4`Z?V|b@YLdDZ!s}FrHu@xkIR$-_G+mvP5OlkwC1qNz5 zLxtjh4moxZ5a7(de#eL+9$t_KC|sO&53k&XY1(!=5!&_AxH(_;obJZOa-<9oL8>cuhf3j26U3rgM-VE zr+(mG!ThccKPLARqonCxQ9{y*YxwjDEzj!Jt9wn}_<=It4F&Xi_gU;K$SmA_rKE`- zU*EY>`qtG=AuRF{5L%^QznM{;SD)1KaOi_&<%#aqj$gJEejD|G;8VkohF0ZOedcK2 zyU~kZ|Az~psA#=tkV_)wvXDK^)XRV|=n!_a`Q52<> z^@hbc_s@loUZ#@U_;t%n@$>^N{D0r|Bg=C{lu#Q}dT8bV*QzZ8`?TxQW!VnX>Zv9s z1ss$ektdA+GJJ6Mm!IAr(WBuxpVtPnnX=L*xC> z4D2;w^?)?5gWDdln?YYt44=wO@s$lxA#Ol9qU8{Jw}Db1tggd1l+Q zqu~x8YrE_6ns>}?+xtoE_6)q!Ypnd?{c$ON5&Lge06`=x`z;Q{(41dFBj~be_jUimVyBH&+Ev}0KvNX=jCw9 z0Uqu@FI|iO_s^y3hzsvGPVRT$t`=U5>%&FU9W;lz=%%w?I*C3b<_3rxmY~9VYyQ{T zg?jwGkWPUdkX5*81C{`}6s}iqK1XRo+|>evVVAopvV+9Sc%AI4@kgax>r8VI^z5=8bYM$G>r<-p4(Y|z^#dIzJUT7m0o}GIckRA`< z*g=1BbGAC2dhquic_VOZuI{9hF6QRNe3R;oO^XswUfqQNk;D*v1O`O0#P^y>egAq# z5%Q%jzrD*PO1ZY%{h@S3ZA%b;we@NvCP%&zAS*zosr%2ggu=0u6E5b9k@KUz2&BflMDfP9wn(MXNw-1v!O1CBU9_S{k)Pux$yKg{ivn~LH$^C1 z;JwMoA6!Ccdd<1ee~e?t zrj9runSX>REMB1j)9%S^H6nj}f`Jp}tH!29r-w)HpZWIiPYt#cYA#YlU8>>r;TMEy z7KQ-LIB<~{x+(67|NOf09;3~eswuOxKz5gQCK*&_W<=n}p;2RDNU)!A#EXqrbb1xs zQF=KjIx|L)l>o-Ee?vffz$dWjTWDm|t$%;PB!xmuM+|fRE%0f`$$nrP05yj^3do$> zw1BLP@+{J01gtq+q>z30o48gP%bM_TWxg{rUxCV4K-hCfCw_n|LB2LLjP#gPdWlE( z19!zR;pF5YVVoS8PR4JF0s43S@kduf8vdmAp%bR{J22iUUnSX-hM3G(Tw3Y7c9SLa zcf7Hu2{9BFPO;MZ`Fz|4c% zNAH5gF?RW*Yrjb^dPQ+vWrfF!MDnev2{h3xrPVw8h#9O8xefEaUewl7lDr0~7NR0o zX5{o@cTvAHTY_O(@9OG)GSr6YL#6||cJ-4eSuhcWq)7jq6?HF{H@-u(rxTc0$U)?B z2f2P1lo>|CCp4p9o}nZw+evYfv9=~aAi1^@6baZHM`KT_sjHJM43UMl!yMc48#ltT zi>U}w4x6UjgwJ9zF*_&cz)#t5=C;jxy3*ui2dQfZ3sS@6~7dq;H)1&lQ?K5Rb0-g{KSXSlTbix`CR1}doy=*h4)p8 zw+u|M9mDc`snBaC{n31Y5j^P4*gs@^RxdiI96lv~nKXlgb#888H*f%8CvN+lfBp#p zGuYLOq>UCi35;Uz-kZ=tu{+sa!v6=1Rv4e&pL9f}nsp$_3O;`P3E${~by_l*d^yA! zJ|>xhy%szu$=N5_z>3Aw1R-NC$ygxlKLK0?iw2=p20>|-WGZ@B@r^{ymgR;t-uegJLdTLEkt zieLQK6jlneSNb;D0Tp+j8$D-r?%cTp)v@~N zx-yUOO&d2}Ja3B6_=Ta0wQz_HI`vFSY$MKNlsJz%YT`T+=XCuk#myHl#`>*ipkaPg z7WFXI)K!l!PIW`lP>mir(qrAaPjYIe%g0yL$an3kD*=H9$T%8ncRpyP_f`Jh+uM6e zwStu*KkfaiSBC=v&c4;PM@8#Q5iCix&pMPn(<{bWtQ76DtS)zMXl`M|(td@DdmaNu zB_D+Em3J9IS4rZEg@OKj_O~Af2HS9c@w1cFbjr`n%Zra6%Lq}6RsI-k!5O6LipcAllljX5wX zmvAr-IFqB*;i!5@G|_`) z2M-;(?$wa2Yr!3pgc;FmGnDD7#gPricdnQ58#+d73a$zF z4J|?)+UWZ6{1)*iHeQRfHTRh5vY{9P8 zQ4^o0IYhKb4<{+9=>|{sSZ0>C&{aIGvwl`mL|Ci$EnEE=AQv%$pkXD7u_Wgb9gGq` zWDO1Ba!2(CP6mcQ$9wY@E>?WiF*k45x+Od&dem$W$<&va`|zMeen7uy?!0*lY%p$5 zzLpClvlb&Vz~cMAQxD*D)w!-fPA-4aM9{k+oWnrye3p~T)!+Q}rm`}jgMAal)DS#+ ziJ??WAZj$sP~KPGX@hy-vy?S2fqO<~f5k3!H5CGWm630Rwv)k&Z+V`)r%LSX$AAivU;W#j7U(6@Wkw*rIuuBxgY!Rq8C5v+;ht##(PBWG0Lsm za1s6EgO~^(8gp?V(8Q1-L$tLQza5ryZ1j#YJ7PWaYy*F!FSE5>i?o1%jER!5dHIXV z%Ap}HD^^s~{W}}#c#h~u-!Sh_>R)p!tL|b(IF@vCw-blEXkEl!Rio_)%S0d7)U_46 zJ(<@z%;hbNcR}zVHs5PY%)5j#ht_Ifr2C!h>>AclBTJ@rOC=9F?PtvTP2PA=v0J}> zzaU)5=+pza(zx(D@QI7d3#wW>3*XzX zU?o^dUMNj07xb;ULTVIJc0z7th2vg9Fn)ar%bJ6(iuAoce;1GC3nhW^uSL+OU~@TW zAzu!%y3BW$$uSB<;=V4Ym<&U8ozG-Hy<4f7$BrLg7x)JNVmH|XcR{F)R;w4yair&0 z6RgN#jg4!N*7)+=@}KJDb8K1cZwu^3vlaf3Pe zAf9}CKmT$%S|Vqxz4~zH{S4NP&yXrQ+{A{_Z!R$o&5={w*t6IE{CwjEy~@JS92w&@ z#3i^clwqn(x0?j9gcUGf7ptcXW9bbg5PXVX%-BHz!Kj`)=FKEJqEo84#^48KRk!78VsiCSYs323@oZNvzi z=~~Lt(jPEn$Sxl;_;V>aoq7(9TGyH(PwSH+c21L#$~P+YQpft&iFH;t1B5PN&^sLo z#(FXIzR=}Qo<2mz*j3|K7&w|4G~xq&<(*Rj^Ir;o-&V%^ulL@e%ubAk}s3r5U;CpceoyE{0zPp;AJ>p z0ygXSD*^!ihbSz{yMJt?Oz;fc$e$E%16F^k|87U&s;iAN9h*Tv66W!Aqd&B~Jip8D z9pZ3Le&xayE6(3Pk{se$&sdPomv($^GGa=~nsa|*64W*K#?B6BE@1Q?5cO18I(^>8 z8b7$|?C5BUWaPz8@XKJY(UeI)-j!)3YYZH?tzao>2V>XMZ?rNoTDm+izEw{tsis*)JBQC|rHB$L9wZ zlq|yxn`Yp?!P;QTjWIn(E`A*wcjM;e$yFo;s!ylB-4H+avqg(}Ro)>&8F4t~$A_C; zYyB|jTbMrUF>%5|hD!K|p0Y5TZho4+`O?c)EKN>>eZdha)u|zJ z2GI|DCMoZ-Bp$T&GVLf?KRIAH@wPx%mu?z)8UlmLt0=$hQCH8IuZ zB=1t(%)rOS7^-rYw~z#TG@r^p`&UHh%-d7En4J6zR`Bt$D{jPyY&`tjO%kCoUwxFB zXqSewweN6ILr*$SAL8QqQ$yz-yJ&O0Wp#^9jh??SQ!bgCU>otbt5H${HLWF}!y%dIWAE*UFk z`+c4n=xnUcfEMx;YNddy?)dAk9NS3gH|Kpbk4s>z3=!yvJLJ9aN@Zh2DZawqsXS%P4j@!P*DHWObU5kY?vT9pu-e=c6U1}A+h)AR zvAs^|hg;N)i=8s_y1}>m02vR1azG(6Ftuo~6xRSYWYKpv0T3p*jlQ$=RgG&$T%}>%AED|eB92omR2lM zbo}eFs=Rw~*K3QV#q7(b25BOToNj8RmJupXW6>1aroHLfP0N9m8neQ9X!o^`;VJ32 z_&vj1sa=2#JZaC#o!k?3<>0#xSpq~-{lCkQ#_@Ln9*d`en)FyQAS7oAI5e8sGH#x$Hknm%p_cl_a~ z=!r%rw~zlwa5f*_KuA>eG;7~_JGh;!pPusW{rd||^^AvZxf+D;50;kNg;SSdwMrTw z_`)-1O3R9w>3M;fmUkfd0bp<@!Bb-|3C^i=&2K8#Hu- zzk(T*n4XnGTJVH5+rRXveS9tlZp5a^&nRk&KVg?XV8n>|1)sPtxIMS~03}@_ zbu_&Sdp>3E3)6n%&#$E>GM+-+b*RSO@ZP}=!=w!6toRtG4xVqf2|9UROj+MH2OPxn z(GEyYPq)Z94)3o0&S};2I2LxUHQd+*mr^_UM_5zFY#TWJ9=EWJj>I-WN7hjECo1*E zYHG%;HmK)j0}lkooVRG%>=k5j>?gCXS)4VziDpWW(|`!~j9Pr&<-{#`TFKYGT#ep~ zd*r@-`+j)5>!bFg113KU*2K%z6vikhypUw&AGsofw>7KTFyiaiuS*cf$-;*h-kVOX zEdq&Y@$b%1!uw^7UTxjNe%FgbcQn_p?s-OT{qxGlzBKS+EE0D4Afy1;w3u?%bY@y1 z!>o!RAK84ZyW8K}W!0)BFXFPFo+)q}+A4n&)lTg;x>lFtLl}wDv0-+o?f?d0FYVot zgFNnvIVI=)zEYAN3JPg2b^L!`c-^mqum!M+s9%TrDw=yriLq6^$9s;G+FDrfPtu(C z((W>gQX99(;^COdlNU`@R`oB5@>I97w2Uv2z#6=47~k8WpMTQM(%mVez(;HRQbWvCLnb!n@)^7&#F!y6oc8>B8LThQy(boR2B0m%~zHb6@8_JiKZGe#HWcXx?frx_#;eX!wSu^EU8`SM_bf- ze+BKJydIo!lh99AGF`%WD!*U0D*+nO_B3%H6P>OSm;{02$>*8^wUye(z;MmJ1qYuy zhl9`hEnBpY-zo-M$1Y+`#M5IP^A0c)DkkdFjNv!hdtd9e;kCymvQg3Q(jJwc<&RHXL<^+E(2zsmHZWj^0VC0D>XNW`H;c5$fqzPZi`au+kJkwQQxpg@eBX_;}7F;^OcH@ z8+k;=$(U?v@3hFyA?5r-|L`9sU2{ck0<23tq9k}8RQm-!2BTrw@npJ*RZf}K!E7nU zmIu$A8Ej=^r{+8-xUtbVp3Oy=s`%QaW5?G+j=cHM_yfp}y#WL-n=6`)8l_2Z_}tPR zdxho=%v*4XKjZ!u$tvVu9GRmBSmU-P+^sn)uQdGXQ_>P?_+Pnl;<$A34X?z_LtFLQ zPT-689SkoL6`yi~CNes8`}bYGeR$!L z=%CaG(;+lyFQ*r8)RctZ{s^e>x}Y&kzPHoBHd0Q*VsrvH-5=paE=G??vM87Cf6g<| zI`D2iuJPdZq~u(aDS7YMV-{B1dEgJ#S`V3j;#+;ioQkg*6nH<(3~B`CXmfE?pI-Tx zCSet?O@2oA*aq3EL}~Q+@sO2z0hz+zL?)5*z%@dbZiuOxHk$MqWh2$p@+BGE(<_TzV#ff)17EheySCNXsGz_{{R_T- zs+KV3`Rh6%woUCcbI8{}E&mf3vfH6^Xr)FuSX&i8XA&I0>$%7pr za-Hnd(Hqh`YW^_0U9?%IqazP_^^I*pRvICOeU=tifnboE8# zh>rmek{f3%_!qFCB2VrSKT@qsWs&Ru`zh!x?MgP#+Q)l#m8$D zen1CN{p!`}+MOl}EA4Ftn|#}7c0r_0JLqFaXwp9@er*UY#7=T$V)75|-8xh0dIgVj z4U#CK;}^6JT*r`vYCz9mE$(eF-mrSL&5p+GxpwAhtEbzWZjvKk<$h5Wb7sV>G;QrI zVD==kOV=G);fMN!{L-h2H3sO;&RKs)E+SF8+UJ?kugZl5Viwqeelbgx7R5TCq2>ql z^p(&N>C1dBQo2Oh)8Da^gqt#Jp3!QIT?=ELAj?IR)VF6(Gaxv=RJbY3;RciI8*$&- zY3l}!t@6xF_WoM70U90X;-Qrmxm}wMoVR)XR#dh-VXB!<+bFz>TE{ds1( z=r2r`{qol_*rnB{n6rVtAOj;=XwDicDk>1J>cZ)30`Z6jB4y6KRp?75q0dFJdJ*;( zn3L<%l#j@lT#S3qJEW(+-5Xtt*Lx-kG#J*%q4Qt>dCY}pM z(2s{MS7eo76FyR3ZEaMq3TBSut+SwJJOK((pLE5c8pyi~w^0g4{kx+&uCLTEw zVQBJZgyuD^-nx4j_f+he$qi01aVq)HzTLYuXz{`nbkJfpddP6&iI3pfc6PQPT@L`( zNmincH~r5RH?^=R!3V`R^Xbzc=!9TlJUpoNtezCn7036?Y;Z@nxt z9S%Oj)ffQ8BDs7vKV@J}_$0Xk(ty@((zeV|5MexI?vWRm*x1<6fae*Zc;|(a5mymS z_{CQ?o^p@haxIwsmP<}eRH5W~{r>#|32(R0{z&BF|5Q7S{z~zNEgI|-Z$PK)&SpvXV?8TceeLv8z{kA~ zb?P(L=E3l!;32L8D=%a#4NsfvK?5Jn* z9(mTM`g#_JeIukbBG2c_!6gtW0Y`zgG8|;FqX0qwxQFjaIURmY;K6dia09=7lRy*x z;InNCLk$OXCGWa;;bB=>SxHA3?33uEGBYgi&()_R$}_w(f?^}2-6$LPefULS$$s+~ z$o&hooKI$XdC2kQU&-3-cZBgh{@A%QtM6L$?Q+fM)h*hjjQ_|Hye1zReeoe)qx0qs z4&x(b?JW#jI_mq}z>o`XW*=}*M<*a)7(aplvj`PxUXYdQEm&}Lq7x*E+VQr%d;G*P zC4pAHtndy%bu>-Ft>N!=BWr21zfT0)N$y?f^ZC+JgG)+F!6Acv5HKT@8`EhaXXXX) zB7(!AI=jg@rlA926q6V%Sm=p@WA{S(SvJ+J+q8+hJ4i}5CiKr4F{O+3T1Y)=9g>6T z?I2ks>usc^vpw7O>(d9nl}lo5l6UsxfC7~SwIz+BwQ}+6ZGJ?_FcLVk5|^Dx5veoN zcXyVijCNc-T#fvSrnpiV;jweS$=}kyJ_Gf~?Qt$#9p5SviQ3b>2IIVnuY}c*8qzM@6C`4+BL$E!8F=@ zG-U%NH6Xi+j!wwW{gOnA6jJmxul`v5N;%dd;Vc1hQ4k~sNB?s~yYkfaQJ<^%8V4sQ zeF?!JDm??-dIp^t-v~0!8w20-qi+rw3^+V`yw6Zsu*o&$Ek#>ELE{kSA;lm1k6XD_ zAMS5S_~P0JPQS^2G2aeS+r+hbH?+`n)c5G@kOf0ia$}+G*i~z1kc`_mPv>%B2{+QA zY*0|dUvtRmg4Sx*bCkO^v^F@qBVoIONtU9NZf~wPz%2EVBb)hrW9Mc+e*6gnE{k;Z z8)lG>NSBof=350WAca*D^Ys8{K-}34Nci)t$|ULIIK{GZ}QEnGiD7Qrar7Ftfmil zQLifa} z-(<3OKn*^{x`~lPoHMaxsH&*A%@p{nSIB3;ivj#6X=*}W{X$O58D9FJ77mn{9YXG@ z=XBy0Zq{)pz50R}Q(l+`3PuaVlhz)m)-AqdNSi^3Y0l5dzbZHGKZ@h$wYR~G=v};`2y~l#0=+pU|>$pslQ|-j^mtNl$Aj^=QP;VNRzGwv^J9 zP$!goe(Ds}%af~viNHZa9->zMpR3@Ds3{&W{h*593%VO zZwf5|V(I$3Vq&6TkR*b+o4V)8S3j`|jFtMk)R?tWMXJ@Q=ao^L@=jZ$3ea5n)ZDQx z)cO%UHSlNRfd+LpjN%=^6TB9H&~bowx`rTzo3^<&Wzy^3wZR=j*Yn+>Dj-vF<{WAU zD>3Bn?%ie7CW4s4{Y>zU+Sp7FL)-h;cRuTNXtj_EA}$f26VV{snnh5;$@R1@u)K2>b{9 z5bV*Lm~I=l5$=3;kN5cdX28Oy;z3yeDR8-(#TP7U2)1Ah7k3RlXli7H4vNXG3hY*H zuhJ(wm$S!e7sgZWSNHqg2fspQv#h6k@N(5gHPRsRy*VQ9Bl+>4JLlY9DvQFA>uI>T zm`l}3pRSCo2IHb-$6KO?r0O@?c-eB-% zexbzBQ1-1%N$Av8ffuw|NQJu7@E)eB`jRZd%6Mz)x$nCzJxugks02Fk1lFt;-+^)msCwDe0>Poxi4S(uVI`N&3o@>l7(*p)7>cfW*7FHUK zF)j{}i~OsZ6GKIj79MWTv^z9n`X{Z`s9cB!1cxNw2hSLqaW(-eP4afUV zi3*Ia2{DgbAErWjp#@FHiR)(D`30)ta;mW*A;yJRB(kY#4Tz0c??-0!-(+K zyn#>0$A@Av8bS!&0p=8?JGE3c4aJsDs+W(Gs#CQIZD;Q_h2@x&po~r$VlFfKFN0o1MJQKL2!BHDfM*ZJW%^kL}y{02nvw zY2eMuPiIx-dH_HgJ{Fls8i55Qupiqj#8v}kOsgs z#`bUfiHw5IC|y&*wkVhYf#O7`;HT7Ms^u5N$5^`b6z5l0S9g8ug=)*cvd2-u5NFvy z2?x46w~0Ntq@sNC`0+>6H(W*an;pN<Cf zBu!dky<tJ!L{eI*KJaU&IGkceNE2XJ*G6vCnKXeY}jQ+yqr8B-2mCdS3+5k0tFIdH6^FK@T^(=y~4jm zP`c9HOi4>?D=lrBvO{Bo1}n7nRPIW{ITyf-q>>CB{JT)w!jjp4;J}h}4^4$qF`k5k ze)qztCk2`tdrGa?Al(E%sc_)wR4%MF>24-C60qj@JWgPIcj5JUrErFs62&tV6h;df zk_h6>eD>MTA3ws2-~$<`%Tof0icVtekX{M#m;u=%!SvBRXop;gu`k%#yVhS;QL&7F z2kCX@5u08_#Kdr@7T z<#=(F{iNo`j<-be;89RZ-<)=`OlJgkfIVmQlvC-72)g6bbB^!q@7r{dGFWCKy?IpM zNh3uPP#`m=czVpjr4=_}4>Kd@MxC9DOJ6y;0%qJO-j3)AYelzyOtEu9j{d$*M~tx# z`_lRK$BigL$e6$r>a9xjH*enDW*DlU?t&-=u~Rj}Uty;@gEOvNnT%}72hve13fI6X z+;&ZjXya~RcF+WPXCcw|^VJQ;l=9~c6(7Fjswd5^7cX8wc*Cnmp7{2Y1}r(UmTT$Q zGW?3^qV(w#nR2WCe`GaxT0XY&`0}aueuxk%D@_N6aTwd}ya8Mu7Vjwc^!Fk0&yD&G z7)o(Mz=>f3^xl{t^Q_IaUW+unxHOTU_MhURJf@Eg)eC96PXtlba-ttRG3v9V3}si~&P z(22!SZ{ue5J1@}P6&6ZhX1?_ta?3NZX*%BbVmmVc#Un_wmp9A7-ILh{aQ#Mdegr7jB7+7 zV6xv|mK?*Vy5)|B$Mg5dWLh*+_!INo;UN)fKv4Rmrx zjv2F%DOXPU5n_EjK0o??nPSW;arqiDC2}1$JBce7T*~FkV5UnW@!5On#w61=!G<{8T@2(m@- zkN&5ns(PaEqWpwcQHcMk>h;%{>3@YJo%r-LVL(lNa29q;jUO8M8d<7NTw3Cv`=5KfJ+Xq!&s5uMvx)v{%? z)?R27S_FT8;1S^Yd9zMofbFFEW55WK5Rey7?ed}`vsr7zpB|jiRw`nQ`1O%YV)Rz+ zL*5T)0CW0s=v!jux8e6!6@QvcLQIp+3QfiAICH`3rG}~*@%s(NS4l~&ZzX=U+!i4B zXjZ-TLWuA<=*8U@gLKC1ErIP`JJ?dZ>t&Vlh%%{9aSB7=x<2yaY}p z_48d$@yQH|yMBCPRZz&{lpoQ>^1XWp9y~}S90j;-{U-w?BB#nLN`mH705UP2F8ph=BC#6TDM2Z0D3-XpAGYm6%=HS*RKb8for%Qa*U*V#DQ(|>qmGBp zg}kS$U{8MYd>TtW)WxiOPne$6XJ|*r)~YA5l?{6TUPWo~YtWd&^-@xDHaoUZDAMtG zQ&EvbY60mlwKMS~|N3s%zwtK=b#=x?kKxZoWa9Ik-&_2;yz`P?+q5;{B_|~f7F{Cf z!uSZh_2DVZi!K%htwedU7b=BmMY4RNN&ngfeJxFO7sSz>fKgLcP+)TDI@w%lO6A0m zoUdQL6u6EOM%?zfEx3BbuVbNRKU!F;xe94M38oO}>3S`SW8BOZkxc&IUk(;48OwZF z@)+y8EM1LV4%FyRVmnMCh(Bug-yIc11g<&_@fR!xNM-Y;O~1dy0OujPtLsA&P z)j|x?Dt00!jH4Lsl3@|IiNbvzvu-Y<$LUsjDG$5W93AvQunVPKV3Zchkrfy zz3Uaxk20|UJr@kk3Esav$sOqKAO|}AHk6O2NZk+PgffixG&GC^y|==kdo834n*Ox| ztT*o3e${8so+d0=OX86+WT1OGpl!nQ&!aRGiB|wtBp7alJ^^Cao${~e*ON!E1moWM z1G>_uO?EC?$@@Ph*Ig>KfsA~#rl#wo(Cf79H-D}=^>(#*s{i{RL-A>K!JXrTUB!Zzp>WSSpO`%X8GfB=u&wOw>Du32!VabPEN`5M1$9@*wfRYlj%HfuYy~eqi zQ+u1Fuzmh{MU3OhSL)^qzjQU;AuH$MySr%7Q<86O0M&j6%pAlpfi$T0UvoIMys+$L z@p4W~Oo;D6m<~8`B6;Zp-oo6?;%x#r%Wk(_;4kQjyQ3PhldBGRjjqZV1?%A<;$=aJ4KEB_iO8} zj93Ks(ZN{32la z@f`Fn2{Eb*fIGnnhs`xMr0sJSEC8Sr{4chgZzh9BNvZ(`_2mh;njgo`0ZJ!m(ee4}0MLSsKV)4QI~WrKkMT zbhku_$U*?Es#?xar3s^cGY%i9?)CL;uVqLvymDpip`v#G`e6mPo_~)f`gb#gX5-*E zou3GXwF1Q+Po8(LriEMDJtk)O^i|{ng;*f#$FON%38Z}&2h0Uhh8dlNB*15qIV>l$ zlhCU^DsUcjp7Gg zn2P+ug}NR}-Tm9`oR(~`w3W1#g^^L1=XRZ+pSvq8-s=O(4Y729&WWS-+n`j*G^Je} z(%--3zqeLR=z{=%h^6^+U+qSp`5R=ph^>@NQG)CxA3euIaw}xUWsN~zFlLNhof26y z(B$fM>k=+qGShBTL3Q!pSMX!Ud;0JJnR+eXJ$kOCr7$?lpI|Vc>&2ZnZcGDiJHsBU zZ@&eiq(r%g45XShVS`|o>}(oG|640GS{XXJ_C-~z3KcVBThFbT%GBJ2Mn?90Qc{gOk-{*P%dj0Wx zZgrFM{eC`suf5jVdpp}m^IT%Xa`v|Nc6WDo$KHDh?Go^(APa+mhRvsd|5jWaI%6?f z4}~`L($t@rKJ*ib`v1Z4*8~SAl&&Sep^>JD6F1ubAf3|OyoS&qc?4GQ)X~&S8&b*R zbnNll2vs3?5yUe<)3iEz|M{7ZyEEenAGz_Kf8FE%{pnxr3^+$c3zjq&*5gS){`dCL z&5n3EBf2YJPT0fA(%h&N2RG#9uLM(Jv3aNdB~ zaizVCw)mp;eIjx;uNT-=2*yT6v1puFvqn#t23Pj}OIauQ%-h2MKb50X;$@L=l#G}y z$j<%}^5QuRjp#);82XP<+lPjRVz?nL2WWbPRGQ9=1q*2X!{t0K`T*oHdP+dG(Eb1{ z@P;rkNPfs+=*&_U>;%xjv&*;!bO=IcOQW1#?OU{ln9=iWHN;R;fvAc}xC zV{LS%!oj_Q+iP+_2IXyLw938X#i^KWfxrS)dOHr?RxY|V*JOKMW?+YNv1tiya2uT; zx`)rAi4)>#(SN?vzs$+|{(2u~151dpJlAt95q4iwH_z2=n45xye zxQG2C%-~4dZEbCR2f>|`d(M2ubBAPYhWQ$boY4Tl4jC4_2c)E0nwx10XD06=hT@Sd zp_oCFgR#EO-D|Gw|Ypuf?6O zVsaiqk#-dnJ-#_!d@VL7A#q@2u&R(E7&sbdEDZE%pfN@A25F2@0eCP7^R&-}ZO(X) z2zOYPdSq`UAX5ho?WMih{Y*t#!`jhN8Qe&cAaV9dO-=UY0v9AN)GjpFOM?D;^aBtN zGCU|NLn#2te%M5(`Vk~^Cp-*?C;dtPp}sJ15fmXDSHYoZ;{Z(whaBJu`UJmTySApN z3FQk9ZF(u#Iy{Kp-{nc6IA7>-($oMG@dqO2yH*^WTIg^<{3ry?{)v-e7KyTu7)+~Hci4pbP*jhhiUNEE zj|u2N+p4A0j9Cmc=oAXExGwn^A36*0A~)Rd-g*)@3+jleBsT=yDi9=an%xr=&F2?n|si{;Kq0j`L@^7x4b5MWp zd3$PTFmP3%`JU%>R>@%{+FD14YZBC-h_@(f{`?r<(Sb$dFhi4gPd)a~J68gUb>!c{ z&PMsxI|1%nqX+5}2FN7o!Cc`ejFE0RjkID7-|pAX#3l+R|C1%T-?-!Cq-6leglUj@ z4!p)(VeDDe`4=2E(EdBdf)C;SZyOJGhy9gs690g0LqBi(ANB@53q>1`GIYX!-<36A6E5?)Y-tq95{xL?t&ofqa&koG^lx(b!~5jz7nO*a81 zx3!gEu`yVOfPNd`1bi=!D}M8v5^r9-hDghc7gfH?w2N{7%v!z86H06HhD|96&BIdf z4$r)SMY65152`W$4J`IaNlw1!nkJuaV2^%#8=Gv!uS87iq#1VQcJJ;I+gf6ZSU}z1LDClDw=e)@?lm5%Q%N1P)C+KuvzvgKxc{1aSVT(vzeN-9|Vd-n&1>H6d%RHLgHiEH9xb=jMZyHLK# z$pNIp9gLo$H{O4kq6+jV(@&1gd*RMochDEmqqvB>bxVsj#1|fbi~j~C-Q(df4RAx{ z4&WsMqueFnGW@~Ci|2dtxO}DZBJYVt)IwA5pbtnkM23e|AI||_$;qwXjJ)v|(diG4 zV|81)!7Y#yU{7OWz=WA%Jld^WV_(1KOjP|eg#W>Pt3Qq7?2X|03TZ|9skYb#97(Pl zpNYiz_lDLmDF7tTdMfLg$s&9K*ani*O-Udcj_u!yoNHiUdHQs0Qc}K^S^?l*^Drv# zUd$Vbi@^?8{J;R{_;1Rdb2%PL8qaWaP$QjtEh56r5*HhbhEz0I(e~VEYr!lISkTmz zgSP18tT~WY&|_#DI(o9gb00jI#!JEwQv_H3hlPMU*sdiinu#uqvu@6Z4;{j?6b&Ix zET(KZdO7dO$B!T3v>`C~BUfUuOWw(I==Vlx6_=18&Pkvh<^KL&_Hn4FG?Qd$sS=z< zaM0~JyMf;5x7Mg8pTS?P(f5W>`9?5;#1z&;bd39Vc!Y@BU6{Uh1 z(0IoG_TpCk3cO^yw^-!?z0YB`2PhO0TqRarq1t0BFMNWuhkp>~WilehL8*<_LX=X1 z_ig4};|sGM&Nt?%VopEuOi}+czkZ&{ZWhq(Nkx-4?*I0R@`!H*%6{;p84H;3KEd-N zWtsNZq@-*~W}f%M`gQ#C1CO{2(bMDTNLoI)@JabaqBCJ+1X%hViQkT|$hWc$Pz@!=-b3PdrYTq-2+#SZbCyHn8KK(LQ2&EZYNiPRBF! zOdDmGwp{TRtRpAf?`4(?B*5IfRP#UW%5hg9o9zt&s*l2aHkaOMrQ3CF! z0+s4_#Cw0oXonci($+0owrt(X#z2RUt`dM*8us=CVe7I!)zj(2TxFp;+1|81Vn0N3Q$T4yA1Eyk3VAQ&uKpJfV$Y&#ZUo z6;U3W?~HDSNpw0gRaRQHSVrrVOsdgprN0pE^?P^_%m1Xw)0Cpnbl770F{*ad7o> z*!G;<>uv(SAdNnqZde~H1~cnRYgrn1;T@u(Mqp!QeS(c8I48IM9(U0`?sniUrXnVa zYm117#xln91RCs@lK#E>a#WS`-hfhBxt629+Z9ZxC8nfUF=l`CDuo{0{Q2nS4nt=K zjH$5V%b^sUta7nxaI{ys3(K}r28K)xdDYUUe-{^<6=`M~J{>ryq{JWb{M$Mz{QEe! zouly8TU@$S*<$U`@Yv$AD4~Jo5Z_@I$Vud8!A2)O)<4TDE{f*)CTSL%Bc7wTn&Wlm z^V8!P|B0{f-#wJ>$W3n7PQRkU)}LW)d&4N7VJ{c@8IMwo-IeZK5(sHj+p|Pv_`W2R zrz?2WFyF+f@-g!F=p2>A>pkGSC9jlxmIV8v9rd9J5k=pR69a!J%crJ3)oc;Qa>0 z0ws@AT#h);S)bu_-1~iO49ti?b67^6bxND-?Y0q}Y@;rF`M4Iz#R?QKfAJ;>=_nv! z<#u`hgF%fG(@}jO?N2j62merh&>Jayzx;;a#vxR6di!0TTgx8!`AVI(Y+h^})<%D! zLR=B=BZl8=m%iU!{W}UJHQAA{{^rm9Kb{!3{Bc>kmhlmDGsQG9=rUG6!XwBF4hNjqEc z5+M9vntW%tdK|kY*sa_8U7NR-UG$vt)5&(LHs5)3BJqS%%jg^epYPLwAHO!SFe<;G z6G`l{53CPGnYLMhm?aeGuC$ePgK!`*K}S)5ohd-3%ZS7~^oKXP8PoGrZMqyPUY*m` zYn0R@XI75ICowqIqErBjtDbI9VRq+9+XjaEiTOWQRHB>d9sL^M`< zUKb)@q^3(LH`5N|HbiQoE(zoG{+6H1|Ffv1 z&_7~*ccv+c+^bzgk#;9yLe&HA&N&vwfIogbLB9+i4ESZo7Y2N5-J2E96RFv){7dj} zPu7!_(DQpUy7C&BG7wN{jm`q-iLF3orF(g6K>Y&@7@fXVi|J#!DSFXJjWiR<4J}q^ zc^p}_8RpzSEk}J{_x3WLDx?%V{r!9wCmFU%13ve|`MJI^hq#|ZPbewbZOA<% zbVPrGu@mYi2fN*R9jVDd>@D z9dT1g=^b|`wGp4>QVNb~#|rTtvP$5Ta5GID@v`t*%rub9>;3k1v#A=PgtWf1vh_n` zq^4+o9#8Sx^`E=ZCkhu}!pE|kJ5DeKTjExlp%t|JLYN7$7b;}hfo~8+!9{lao@4fZ zfc>ikb1%3VraT_^JKgTs-*^y5T`*u<@vQ`z&;3eT?BVIH?^5if@BRM)us z>Vos?!rrTMdk?NIcJ@2{y7YAEWQ_$@L)POZrVwcD7w6wSP;0pqC@n_TiWR%rmi_mz zP*lBTX!9^<#cTam9f>#~j*fjq4PNt{+g^KR*{pCw!cqTf34zR~6M*!B(?H+gkui1mE9|!L7w=|7o75e4tEtBMrj@Do-Yp*k~+RZQrYu;pPv<FyKQ*nc+ZoO1 z@11+FREf4-4Ba0Dn!WPCe2;Or?{N~f6tA{sb!Ew4=*iF5M+R0FDz~$?8B5T{2gkRK zAUv-=f4Va9R0ZPA58q#px2;Tvtp4p>Z7(Is527>n2{1zIQ>ohnM)~o`%imbmOe=FZ ze|1-yn)kL_a(PiVcSVw0mX9@7tfHpWzxa^c!7_i&*W>PhrA_fXH5PX}Y!PcqOdUVg zh4eW_H4lerWEkah77Jr*k=O?2f?j_1ko?k&K&i?xbC-l#2j|NkQ#u zd|gxYou*+*@mJxSZ9^n)YU1|z0MFFseS6P$dmgTq0xn2mUintM;(+9FaH+2oW+?9H zX3*1E-#EK#b#@mU@m#|QtE^T|&5OVu?;!E8D=HjE)mnY(bh0-*OR}#p8_7A5Z=zE~ zkz-YV#=>eMInt`LF}QGzca30qj9Yc#gLU;oE*c_SQNu_fq^kmPO`?cC!5brMxMFf*>w-zcZs$q;0mHuXrp z2;`N#bviwWXwCgu-aSG;iK)-g!|}GN&^7UQ%!n4Z+@`&2Se8envLtV|`KekuI!>Yx z|7~&IkK`TtD4mWkh$tPOGMsyGdHm?rKiylFr=op-W^P*^J8Znt3r2GVf0A$2Jin^0 zK~ckrv>39;`m~PKu0}t_gvdx2JS*+F^JYM4TCc+~i*11^k-)XJTViZB`!?COO*7aq z3deWY@~~*V>qWe1B8SQ^pmsjPxUObF=3SC=QcRUUw2MMoGq6q)^} z5wB*F>{4AH_jg+qWg8asR+vp)SW(M2dDM04z|6CaN0nzZ=-FAu-IW9$M@HP!3#zxQ zvyy4uHQuqN_Vr6f8^+_pc3o^p?t9!r8R#!)r5WS8%8xyUg!6l+j5*oE)iG5&Az_#G z`xEZPZnS-!pN%JUhjI_Z7sb9oyn#=mGf!LH-{BPE_{C{mEEWG z#w#^sn{jpNX&Ju3lU(c}JPNzySmi+JW5$Q8z+QRzENdkO;huqktK+Z51786`V1ro3 z7w&gc9+S)q*vbH@@BI6ND1H!~C$NHq)J7BYONQp1&If{<$|x-n97CWQYEv~`B;NL z(Y`DK0h%M9pB{2ilva&QW^f<~}8T9XZ+)U%F<)6O_`0vMXWJ z3!7t}oo%*dSy$>nP29Sa{wOTutT8dcty+NLt@JjwdWxmSx9c5~Oia7tL*A*2$Y0+?8!x8Rjt8Z(`z+&xsyeZpSpKxn<9-zd1&Snh zY>U`T5+6(UF-yKCr%LrsBy+mQ5O6r7n@dibVw8Y@fCgc6WD^P;$Hw_R z@c~l)LaHlIK1_Ki3QX11JMBn&fRS7Zva)n3?Jc&acHV58nD<$Eh+g7?BlOaF_qQc#)pnIy!SW-*te|f51RAApsH+IrP9WyqrMJwo;iCf6iE&eTw?Tga#t&kiS^6!%4=C z8QeQE_%JLDv< zX;b<MUK@vC1f z*;|Fg3rq@*-8OTU;o~+7KSt!SuL?HM2_j#rFhk4-Z;)*ywQCQhpjTI-v6R$S+8SYR zaQzIGQv7yfH9ZdtW1@}ro<6@)@)u!^g5CxtjquZ+(~<)0yD$@c$N?9g!Da;AGb{6;T5v!;z&K#HhT?HzyuCA=xcEupf^5N;{;ie>}=l;jB)goo!@7MA+ z28Rl7Xjrr!1dl0x^4PDZtIKko%9*deM3NbTtp>|mOU;Q1$*-PKI0IFMga~A%J5F0{ zKsF`0c3x6Py!sAcfvN!43&9=)Yk2Zg>VJwQs2@GKz` z2stuRJg%jMsTvPfj{V~4EM1OAnHlBE3^qJ3k`B|@I1wi5gXAuIlTV^dr7YwZ4i&_! zykM}x6BJVPs=vf^j^a>q-Cz>Ng|*yc6wP9wA}ZSuw!T&)p68Cfojm`MY$JL8V@}(g zE6mO-oY;92OhZ7by?6nPyUs2y2Hek8g=CbJSZXeI+X4UqtZoPkY#ag~Ky>9h!)FV{ zB}{`Zc?ojH+$(hsz02zhy6mw$p!TiB+MUu-N*Z;m*8I|JX@eR& z_GA+ItQ;$oI<^C!I<>8bfqvNXt*3S@W;GKD{$@oBp2{-6Q5WTPYRk!>DvxUkoB;lM zx0ltU=)wNd4^yT#uGQw{_l~6Nru?g@9wf)MSm(qWDMkepa$mcbqNkN_;y*|0$_W4b zC3j0qUX4ZZ+lg$um<$2XEoNJcN`ZMByNOD7*x%mD(NjoaTvpHRmU_DdwAX*j=?%L{ z_yx|9Oyq2@%UcCCX&IB_jTy@E!Ic;$QfCin1Imnz;`s1q=}f$ooZZcQ>SF=(`c z;@V_g2?R8-+fM;N&mL!`CenZwZpSg;7EW(yym!66ZgyC&FoC*f)Fd_wObWoS`A^v- zUA*~#B6UK&_A}xU60bVJD&5A#h0{ZaKN4*A<>qv|IP&6^Z*m2HeVNAPMi6ijzjNZBQu=Q+4D@%5e zuy}z`pfxr4P`O!=n|eFu>2;0@6R&CM$t3BL_vK_}sxLklzu8tVVq2CJ%CqL(b)1tR zE8#UScL-$^4!+-20-yHY~wJW-*?@xcB z?X5L^U`b=`-4PnVkV#VYI0J!WS4VbT9a8*`u5JL;z*zom&8`?~G9X?2B(`((;L@aA zX4miDV&9AJ3ra{!xIHzX#SBh+;$=Nuo^sx6wdbmSI%<}Tn{6Y>a>o6ZG5|S{U^;9+ zG-@V|E}9hq64)-O^0!SArTHV7oHXTf3JLye{525UZkM8371Q3pfMu{;$HAI;Jl?v2 zz`uK=dXfTM9oqy1dhF%lO^3S!si8+RlewPxn>3{`kAe%#T|lae#FK@UbgS^Q(!vi@ z*h898Kd#595{51jbwYxUI3EK?5ZOi0)y@ZU#D%Y{?DjLB%CBxt%`FyE&K1PxNyamQ z5JCBO^|rmdl8rfnlWiFw(Jj64v9YvGjbF1&h(o(GwZvqpdSFE@=SJqeJ8b1@m=yN) zIWC~6fpVR0pcR{iNK_fVj{)hhh=odJd^AN%{dCj{vjj2b^0fuM_nrua263j2hG}hj z$9zX?imy!z@AO4#z+^j1@L;D+Ml7Fs$9se;5^q3W!b3v}Xo_lcryrm9)Jk=R zZ{d3we>>?mPhd=!Jwu0RTuYVteI}nx%BxB?UgUlHxf?0CX*!yMQr2sK83q~<6ZioT z^Gz&@E8&aF%?JTz~X%$gN2UmyxBM;6IhB##D%5cBi^l7b5T+Z?ivrt@wcId zn)w~HEu$8eqDJ{6ABsGLVb7kQhrK@Sje0vFK5L+zF24^T<%X7}lsGp_f=;&7FCtUG z+N0TucU~%dVy;vgaofko>ig0W1S_I8V&d?O!LdSdtz0akYJ@}^t(iIB7lS8yJEE0E zgOSsGT2nPUTGpDORXwo3)Xg`#B~-4`a75^-xw4s$Y$ET{K6>`BlmA+^b{KIA`6 zrf(QJ*WUF?J%wc$XffoXQLx6co9HmUP65`04PlT2(HS7!Mdl>y=gtAk^;bG?Bah)K z@-SGzz0_^N=2(x7hS)4~o%2sW_@g3cp90q)t=3I+tt@28xEA^JQvc=F_f0Ahql@

wE92SqYA^AbLRzqtw8!HEH?&NP-WW(~BqV&b0()Vp zi4!rXO*>GK58ylWs5XbDg~^0d!pfE6GL8(ri>FKYV0B41km0+XR$7-sc<-Ao0SyI$Z7rg7hUClkGsJi^$qRuPjkWZ99tHcks?pu7nY|7P zH`61Yi8t^Q4Wvb z3VP+fPfnV+1;#UzPSpxn+=j7lZdE+-I1<=K+awuQ`s4K4vB}-VleYCmYpTuf*Yr;h z*2te|4M!%k$xgp9%V#ci>-HyY&Uf^P$Wm;r2?6_$;Khl)$<>WU-!7lUKN(t3CO^dP zjCL$J{S`WgfUe-{0_mN%(NGSL%u0bVavjIDGp04I8={-lZ0fB94Q^~dP0|%+Y?Q%T z+0!K?vvPv4NfBjZ7(-SWo`iki^R+vWhZ-v{m-S8N2RLM0h(X1|Yw`En@u$iCqSaEU zOf|Iq6a-kAoW-&qkRr0VZ?=gO=xU_*$SqzGv^7SV4RE z=!wpV$K(2^(wqd&v(Kj{CIS-6;hvK|4m>iyqw?b{cEz~}{KD93EVff0y8qmv0`mL< z?4+L+F>=QT>xr|-Jm)PfRb#U-i7S4%>Nu9S;hj=ut*odEV3M!Sb?mkJIZ9(B;IF^` z@pz>FB3Uh4Fm*JpB}<6Vkz|wcb|SM&@;B*5Y@!|4U+vqkPU4mncXkS7J2!6t*8 zB_?3s4T9%br~OYC9@cm$@|smG%>HZ68QEm#zr%Ew?xK1_@?7P7>hlVl)hoSZiTrM9%E0|Migk4dK!!c;NH|ji*{A!JCDR>b&vA}m-IQd25oa;d_E_xv9LCh z&s6vvN{SGW?M!`M6oQ#;>4p2UI|kE>kjFLP!vN1<)_w4PX+0 zzE%7IvOT;rzE8K68Vz`j-T|K^b>;Ga$A|Ms@)$frNXO2o#jx$E2C}=sGNJeCUatdf zY8s&d!MfH&JgloyLaPHNFNzF26O6 z!p(}ne?Sfci*n~>R1~|Jm$R>`-r5ae&%W@lZ!5(Mo$~1Z7@sJ5w=)`l%)tRc>A|CV z7lCz&SyNpu>Tdh@pZWDx;dhO(6Yu9zmM16GD2BE3#WZ&fQ>(Z{Tv%w_F^M?8b^4iI zS{k;J2|8)ZW9~}00aw)Iofw;BSoMpK5j1Y4DV<7|V920|X^V`E;BY{+Z+A5p+faXW zzs}f?AJ{C$+3X5R?ZX4BfQDXFCQ}bTGz`g*$1vm$DxUH06)V24=T0p_%+QsH17?F~ zqh;%*kLg$H9TnEA@L+P;EbSI%aY8DCi4_hN^iS_3G=NN`4S4_H^jNP&%_zqY(rsVL zU~{C9r?*>!e#yll#ru>3h%t1JL;I4c`Nt_*{SgPZ1=PcWV`-4%dcqzF2cjim#`AU+ zL_0bg*iQg|jQWM+n*c4W$oMr}H}+~lhLes8TOyugqb`_WAC*(b|9y2YbQ{RbmyrN% z_#^#Wp_-@HfXZ#LzHeSlM_kW92smRZ_v72BENVTwskE7H{>^s&ujnp2(h7L>npc3= z$>&2f&z?o_lMI)MrdzEsoK)75O3TDGQc8He0qnlJ65G@!)XYh``u{8&mj%4dPDB8= zqgun4rsgz*T$84PZ%}3`{w**PW3~EBJ4aK!L#IOGJ zK5(Py8^}nbNMz~_=FyzcHm8l_h}z&*2}-;SekO0N<~jjMSeXJyG)>GvlGCtDm8wQq zT=o@d4R0KJU{ewo2RK+3bqVG_>`w+@A>4#2PU3sOLr7W-&@k zfITF38bur`O&AT}l&eprd&VPf7|7b_`0fG10Oq8xBcwwS(T;V0d-766H+!1+pqI)W zeYmBdv`v><%JAV4k=i0%RFl0tQ^A-3U>@+jy=C`=oOGWf?{`tTxvgqcsI*A6u2DOG zYj#)VCBQRcR`kY2Q8yuh7qxRE1HI{xy74_R?dhyL`nl=5J`K63ey-_r%=y*#b={Nw zmTjP*)WG;k*?%DuAiV=HH0)_UT~hZH-O#Ksdl?2#RIy46ycdVtf4RV8zXmMca zoD+;**JM0)Cu0O96VTX(ak->+2DR+WO!~mT67K0jbf{Q5qF@f$c_ei-;gm%>f0PZ6 zNJ1vA#U*#pVUbP%>WT{BIjuu0%y;H?pT!3Ql;RWb4QO`PTJ9mh_!Hd}5~o$9Ef7#Y z_-kojRGYP|M%2cpSOiHKKC#!v?K15cjE**fcGr(6SzueyA6Zw8NtAH?L}c)>G6{EB z4Ee*%2A+oIY550wE6j>mBHQYopMwV$hx3NkwW^FPy$!(^e|j%t(x14t5@zNq-T8#Q zqj#k5YJ(dIi_w+n4r~p#DCS@a@E1agP{>=DRo)h<$;L#V_qEJNF%s7e#5Ps;LC7Y# z{KC2j`~^iD#^xeDDvKfe$`wXBKM)gpKA$k)2i;F|0aT&^MC6YCnE{ST9^Obz1O+GA zq&nYw2R;garQ@uitM|2hPjC2oo){sf4an@WJfz4j1{=+=yV7{-y|Y%-hZgpJ4U%~z z^pf#LSfw)xa}yX|RlUmSvKL}p`-S&r+aaG-$&Jvih?8kKp&6#D9`{0Qs4+%D(m>1I zC)5iJB)JE<146c>Iu)+#;jW?>q|{STl;TIF4ZP^;V(tK(Z5?;_KWzUY`u^(_f$To~ z44S&3ZA1-+&(Dk}xX6gL9;{gsmInQG;r&kAFE%$YDKgMArM=d$R?K%DoOM!25jQ$w zL-Xlzu(1gTY8b+})%w=`aX)McrXl^5QfVOjqSofIRA-(ifqDK-wDY?AI* z;HUG$85hddW?m);YsaR!bejw&U;H2`JuQ;bLH5bo0W}RFV)Ms3+pqgs{MV?Q9CuHC zVfrN=2(YZroW#5Ri&1QYLq)^)?5X~5?*;!$@Cfqpy%?PvOgXi!IaWWn^Ui*p*m_CK z{ph;vRFDQRlVpbvgvt)IOf$SvrZ!xMxEfyLH{wsG`5!&%E=S`#$@J&91oFNz13Q2c zMxE(~))#bWJ-Bg=+tpn8;^Y2~j|UH*Wk5w5*K+MD;sq^K0@F*ytJxfAkA0S*+(c}K_)uIKR33uaOKf1MyzF9Tm|a$lXbG`X6Bg!{7f`$U`V~4 zAn~?*V(F@OQCI@c(}ANJR9FF@K3zriFY~a}W6EsgoEa$*6Z2rfg5-(57UwI&TUy`3 zUYac#KG^?v;e#_qWt<%PPA%yDgqj5-ZkW~u(A+H1%Cm%9^Li=Jv6=-h(|Rpq#ZJO2 z0;=vRtXuCd##b==wOxd_f*e7N)T9pqMVBJO{M8n@(Ds)We{11mzxs$I6UyMBOnSd| z+Y9pi31T=@8#n+0dJp~`;@GdGWUqby&Y+hs&2Yd=f@BPg{^QrW05wtx>SDx5^6A6K zhIV$_dEZHPaP)M;e1sD9Tt%{&w#)=)n8r7`aA-DAM}}m3ySmimUY}qjmDg=6=yi}y zg5m>=6{Z1Xe?KK61D#KYK9*ROn4t9V<`OTYL4gvZuygw;ehaW^5siLV03wEzCzFpcGwWsn`F`>kk=d zUp)ggNNcDTzKf$p#k~$7o)b&^99i1xZ+R-SpQBk*_Jp1AOMfIA;m&%@yqj7fkr^`Mwy?NzqU15fb zge;k)yWuQXUT$UOrl(k``gF0wxh`yr{q45RHnymFW1=hydNm9g!Wfs_)eTo*Vq*$O zN6Q8v>+nqb9nBXC*JuhEoQ=XJ#ik_xXB*f<@NFN4-Vi(M>B*<^68?e(gvE&U6EmJyp!Jq{KZ#E|gTG@Wvzs>}+n1Q#a)KxoSFdnN z#xF2(+XMn3M-DnRU!C)ufO!JL0LI4h27VlciEZT}QXm6QW|!hRMjqDwSflsb#@v}U zUxS8MMCl%vk8fa96FPPVs?oc3*W;g4APu^~wjw_Eo$mOtU@LChGd-wnhUE8S*w~3-k;wj@I3T>Pq79*+t^B6=Q zShzLYWUW;;fSnkmHnea*G@~_^AFGn+oWs^g*H&=iF@Ju!q6%U;xi4tW*y{`nGj z6hqkU!16g&o*3dXs#O+fuGiFy6@y&*Aw-S~rm=+?7?^t#cme^8t#>);5kA_TgIV3Y zAcb*VSjVkWn4apNlyu2S^F}Z_0)g;RZL%#WY6Q$9b4Rl$xbDcxO9cNxkH;l%$a8Tg zHU(Ryy?KbksU7Q*yj##3eLWbL30D^Y1{2jjQ@ssvR!vKtaID}MpDcS28Sg65hDPRb z-5O=;mVrRwR{hogP_uuUdIOZ(RU)1XmS(cL}zXjgb7He7dkVX~unS6>) z=Gr3e!uG=95fdqEryQKf9A934b^>(;W z6`FVoG;bH40F#F-ra|O0yE^Bx#A3h!d^$b-7hyFJ6Tbo`?zD}FT)d3WpXPt7!`3KZ zPu~3_k6P?dTq}3lfn-rQ@@lnt+#T|ko4{TrrF-UPYtW$&&HoxFcD1!40EH<>JTkuz zf4)Vv8>6s0?%?C^kB%%R+m zW=VTHfgOIX#cvCy-%0L0Cq+(AY0)S+@DY#t*`!!V4R%6A&+3OC9C;tr*swK8ZpNoh1C5%XBYo6aL|J-n)e=hdBmoSS^l_} zKUw$)?%ZKgu$7h#L=xE~*2z_ZzMpElsFsj^Zk)+DXX-)W>SvA$8>t(G19!9$*bCEK zZ5W%*X%&Ut`PpKztcH?;>*p#|nd#curDY7!*I-8%0Cu#XT`76E3g(i2RQRoLH32<6DcyZ zVeU{RR~cRB+>EDyf0cGvUzR~Zugd{P_dai1)EWGd{H(#|JKx@KWw}4temc~r+8lO= zrcW|yh1?N`sEJ#CeT+C`%S@Dxv*8JRMN@7&@9t`I^YL_37DS#DDi;dO=o-Usmsm+f z9bp_ZIC3tXX0gMq!r2Ec!vravk91ii>3?1TL2G6PI{a{FsBcE+>V?)9{U{gle6=?G z$K5mhfF5b~5Kv$+aZ1e|t!c@>dCcPSR0WJ1yevT=>k^|Lly3%2bTUuG^ECNjdZq;W=n8G!jpiT5C(h?Yq1{BHN>epuMHpad97q)9jzx9Rp)xkQ3Mg=s3Bcx_$~(hFUhK$_Y%RSWl&B%%y8P#&yh;yU zW4%mIDXgacVXpDP4KmkJn3xseln&0ZPnDxP#U#;MmU;Vo+p>%3ee&>t)$TLwtNAu8~l1sA?1J|$CdJN#Uo{gy9&%}uTXQl83WW(I(TWG&)2qK z83I8$MQCRJ{$k{s%`BCmW7$M-&_T~30_;E0Yx41 zQKc-15yqo90y+lVS?y~;HGg6@h<17?n^bRk?FRJc?hVHubgsSG|3UFt?I$)z3j3N$ z?-!-YXIfdr(z3eGe(sx{R}J-1y0bGuhoysj@DwHKIzFPE@9#536g;K0{KJ`Dz?0F< z^Sedu*;A2D>$!{gzfd9R)H zM=d-a`(S(`L719omB{$I3+@L&yP2hBmkc%4peBdP4+okXFWTKb`pVt4V>4 z*;WhzYVv|Em%;2^S;()Fow%m66_hK@-xN%_)xyYjM}O2saoUnaZRt`g37PrxOcnY+ zmX_n1jlq?En1Y#qV*d61uN`D$$SopmvQ=kqBphQ2qBF4)dUz+^>Ugy|VwzbIuWY;a zF;?M=EEG}22mVcEs35IBB+V@<|I|@`CMO3*tnjMs_!(M_aMdR*|dY5*>n|{=MOUS#u38mz3{(lz- zquT>RBtKsRw+8J-N9=Y=!Z8W@xmJH6B&WLL=x=cpcx47f6NCN(JhS$(v)7y|Ielp7 z&GjgrRMS*`s{CsQp_OQ5(4ZEtK%06KX2u^i46BlG9D1gjPVdg!5S{^ukgIFgH8C$# zqPlUX4}H5BEmX&}So`Omy;oSidBknA2VIp_e7JPk5%_3~Y33ypqF&z?w7R*RX6d-= zynS|2IZq01SU2x*{apI8U61w{(b$*shl(h1Hkv9rY%Cg7|@Y>4Skajp&HRPz3r2W9nicUG4@NYCHsJw#^! zI0X)*xciU48`V~#Q2?W*S1~K#ukS(f7|n-|p=vGRQSrev(UD;G1Gr>`0}AiXG8mYL zv^qK(=9GUfbuReHhfBE9%ki=PZhC7!9a+)U3Yo$0s67DP!_o|MO40^<%i@Fg%y(`N z7nu)n+ztmC#s@h&?;@Oim6)O>_H82-SZht~(4f3ciK+c^UN(e!p`!m;Sq~WoQh5!z zUD*s{v$VwMjJsYXttUpnhx%24%?9x|vQrqT1xz~A?u*>IsD+k~EwkMWmzHB5>k!ID zZ>R}z56#)C{H1fh06TEAoN-Tl(*Je8!T<~F>re^%&Zls_PI(yfL=w<`Sk8e&cek@~ z$J+KVnc z>};C_*z`=@e)@D%=_ER!Y37@;leDq47=&@q`IGX9w6X1)M4O>l{Wt#6+}<^CT~?9W z+qucZ03kQqV2Gn8o*41JVm!FJ%B@;idY!?+GFiC+uq+MV;ccP}J}=Lt@QW4bhFKK< z`2IboGw!^0O^igF8)8gUKM?eM5HKJs6DA88t8vyzwQWK5yO*ZC?8Ri_80ug(Yb?e)wc(JY}>kZerfsLS*A1c{AzlD zc3H%1?rSRwQs>DPX3u>`;Lfp@y+QQ2sUuD*z?Jo{c@6HiP)q31?ZHTzb6`2Z@z+`f zN#{UX0W|OJQ}A(+jVVA(8wOoRVV9=BPYgJIf=|mfZ0bw%1y8ah8&>FvvW&yU3!(Y_XI-(iSEZyuqE5U(peG z5Zg$YlLe$YI7}7+>EUTHXZiILk1a#;e>zc@eUGIKZtenwVtdY(ag}1{Xv-*UEyL&Z zWmT2)$&&xQ)(+XYQWl%{=e=T5G!Ur ze`5S;`5C|-HgN3362{02wbOpBqI^)g#k6rJ0X2(%vC$_yNB#7{H#6w>6)OJK$`2qG z&Xx7~*9#q^yk~O!5uE8RV`47M_&XH#3;xK@>)$gls3G^bsG(Mpk9@KW@dmkwlYm#N zoE5S5D0(%9-KxzRw&Wa2hu3NAwKryYhs#JuTyoIt3m)0D4+V1hbxGa`i1E4IyIF@J z`h_U!6tPM*<(BL~t@A*cDnbb>$T_O!bSP-!X}y1Z-|Z)gRk zoy0(j60@Sgvd!!v+C?CoA?{#6zDnRLTn=SHj&~N)P)vQG5YrsXq&9dPY^jN%kdz8A zn?;h)0KYgF8S~LPtz|Je;5?7E^G=KpzE@CpVfNQ z=NNpRb&5M_Gp*Iu3q5t|25V;M8x9g$iKxpc&}1yyP8&KW(GKh8E_vm?Hh5s zF{QJno=LCQFN5>r=6-Uk&amTzkIFVlX_(X*5_p2Gpv8D#_j%MXZ5;uoWgFe)4ybo& z-g=29w+u2b)X{UqycUAv_s64&`K=91V-+|i1j zy2w+swN1Ry8q8G@-eM099Pevgxj{PP@7Pin{$j#ghdq(lc6c8F zX979`YV)|_!ljMrj9A7b!AvITr03H~pm^(bVBCrmaDv23%r4*E=lBM^G@aict`n@* zqt`w;m-UT>PC2RpPnXGo9>x_$arBKte*H#nTY&mh3IL{&+RWz3nQ3a5Qg z=vunE!29?8yOaM#Ka3j(ZKov$TMmZ7&%&XZ(9`PU3pQ7`nOA1`(E&N z0((ohx6Puk!a~+XTuRP%qYPbJet(?<%AL)_t}+awI|Ze)YTf!@1Ji|$E~3BpzMS-L zUIqB%nq5mtomr)HeU{UGXUF!IniWk)!nS|2?~4I7`{LP?dqy)Gz%dHA~McHbf z6w<*Oq9rDxZ3G8nI@9Ba8ewVv%uE5sO>d6|hfCWl|7CWPzbl$86bKA5CJC+(Cc6~< z%c5;=H248Lk1q71z9Ps+F2(8LzHzDtW8xFDREh;#XBgH$!wq`2{ow546{R~&hkYwQ z=skQ2$-5y4b@ztK-iFliXL_ENA5(3pkY1h)(Md~3R*k@R4=Jp3G_0}{MffQi%_lD} zuR(#qBfYrz2RJ}NIt?9wN6Mnu^3m|M^OKoiQXBecKvIQX*d!w(gQ}Z`m!gJ0p=S`* zl8YBFa#8z+XOuBQ0Di9yYgyo-piLH@2%0TAsoef>Pjo2ig zaVqpcZC5+xB@0=rpcjn-Bwp!+)^=qstBza0Z;voci#d^amm03>+VJRfXLOI(?SxUF zZ6s}$@y&w4@U=e1caN3s=o4&!n#wO#Ed!R#uiYWj1PrTT$bG29KvGw#TvdAa%P5RX zuwVM~wxg9u5DsZ{gu5K%IIfqQug}l;?c(>}mXqJRw1uYep52J1F8{9n( zf=f?gW4#aY1<@t{vsdb*)=3z#nulFZxmTN8?+Uf#EbMi_)v0%3$9GoqsHwLUy5IMr z6cZ^-6VC@8WOmYade(To#TqTq0?p!a+NJ&*n_cyD<)CLkCl^tB=>Ktm<}|v_$q(~- zm5XrwbFb7@*wMT(953({CeT`nYW*Lg-UOV=c6}d4hLtG_Ns=iUBMD_*hNNVkWr`9K zl1vd6B8o&&<_tw+Xhhhy*k##+yF-`91HZu8JY z z()_d(MD3OKl+hpI72#jVWp83Wd2i4paWY1xZsczByBBZ1Ue>a-Rb0ZHVf|@t)6i>8Hf!w}x7FGv*Kli~Wg!cz`1wu}V);4se#h*vc$KRJnq|c1jujq8@ zRa+DF4hZLFXQpS042RVE+qZWBI^xr0(Q$MhQTbq_oytG^J%-M=8czCy-=l#rLAj*2 z843wkx$9=Cb5)?`ce_tv93{X?&uZ(KQx35?q)6q0{=;i52+!oXar_!_EIwq7|7;3R zahbnRh8@V$dj1j!Mu5IwBUO>StXijnDCU}I~TcxZakc9G$qbuiysHe2PND{OHB!P^n7NgF|dF&~V za$S$)bAV|EfW`1YJLTi=m=uhm<1t+Dd-)zLZ!JIti3fGO*wWu{B^)O1nWfKcaCDI;1Wj=Wrn5DhJ*}r1onBL^A zD~rF4@BLK!yPyVIaN~L>vUma2BM-R|=hN-LNx+|kf$ZFRnDAkO1>O)wwcd&QgU~qQ z{SBE7dXJ(Rt3PUBADUL*&0gK9cD2a|ryp>CqJ8i0PlLa5`!wY{C4X$5>y zNd~AOfkzS!P_WxLV}R6Ad4Ghide?sGXBA&j2?&H2l2>*zLOhJ*cE&1^A+=J)-C7%qGa&#p_imIfm7NA{b7FllZ+&Ea`z&_p??}bXWx_@sT@m#LPh7@ z3dTGZs?yy66J%tl&J?gI-O&~H61^fCOCXl#&lLEkUu-x#13zcuaDxh1=+M>r)$fl{ zQv9gJp%(wH>AB$lNM?fJn6h6AUAX-o*LUuVT7>@sSASrxggAJdhDbmn;tXJQzBVKA zmH2yOqd^SDhE2+4sA|(-L%jA9I`0`GS_o2KZMkLBjr9)?5aR)HwxT7ji17Hi&wo3` z!}%R?3+w^I=MIMH@YVrdg{H(Q&zuFFqu&20|PZ=%a>nG5P)*`NhPl_s=MtN1TlQGHSrtXXs(c~Kfdd* zn{U|iNoqA6--yvFE}A2C`>d8S_u@Io3pwfXU!$0)1f->zy$V(K41^C~lB6nXns{B< z$)AT$WkLtCE7%)6yhzeCjPgq7zi`YKM{?zWS7M}7lpd4Sc>RshGrFu1kg)0jtj+v~ z(p{`z(OTQ6$DzF(31*&6VOzxFxVBJnGq!zUVFf1#7kV~Yfn>e?f=~DaUJVTFS5&;r z#>2z&<=eMit39yVK_PPK`fIG~8+C?-D3&Sjkopcin2QwxIdeLkts8?6+-u+V&zokI zqVi8RNC?jAY#|EbuMRnTw)BN-FceHsD{9Xpux1iCTF2EzLk=1Pk$YU0C-AQ}|#Y^dSL19Kex(U08!nMB?A2t^(w|Abn~f;Ij)C zu}KaTNrD7DM4DHg#gdnd{iK_VPe-83d8Q1Td!r-Ot*@HN=GTQu8yK?b9=+Sa%3yl> z_J?IgA591hjA$ybk#2}nfC5~iRz{!xxfgeo74o_N3?8^ja2trQ8{0_*Y*LFP zWn0VECEg6ZCCq*FE92)(tU%}j33g+X>_Q+{#j37XQ{z>4-e$s25unUB zVJ&B8kAprlN`nN-Ojkxe^=N#dgS?!x3;iWBlH4Hjs_nQ9fX-hTnrs2#SV3txV5i1Bfd{PfS}lvu1-ju4x8odq~@g(x`b8;tMCjZfU8MbyyH ziEBs!-Wjq|+W1>M{`hHe{|wlH*iOClAOwR*ZerUIk$cM;Ss+j?+Vm8|U$H&L>W)>* z?AvV_R@5y*>BoYUGyc0MRBxZoR!w%{?6i%TT7lOb+Ze?VTOa+@#!3J=;hi)}0ftsQ zaw5l0i*rX|{{x>`S-GVV4s!Px5%=!pD4GKP1RE1)YkAJ6`Z~P(78uUqK~Q(F6E7MvX#Tgg<8WI4$f5C)O>w?_Ag)4dgz>uJksmL)H!_Z!1X#%RhfW-l*dz=#NO*xbu(MO~J14H)m&2Iwl>NISpmYe*qhi zlW-_Xaxuw2+7&6;_5WjdF*Q=JRxhmtH|i)yXy+O&|B)+Xj5w<-b+FQSXEoUttUL%! zP47@w*UPmPIRkDO80n0D!5@Q|7p7sZpn`sQqu>0`T1_PGprPUGwX&aoPs|?8ohCzcy?(H_^WiB>$&K-}P4?j#XpFMK^!lJ5LV{VX}aGjLR@qu?QFNQ2v*%({gGrKr5 zI@|Dm^;jl~XJ7-hN_kLPY9PEBO7gCOD-s;BMD`E-k|;POWfRq9MMX2OZO-mWw1}i) zzE2W}a`Y)8UFG$BrB^N?fw7Dyf>Js-$1<{KVW?6tsbh?XtM(Kf-&`V#{Fr)~=Lc~K zEpvf5?+-qRnLhBUFZ(9l(Um&!E4@<@Qqsov03(6=or@43Wz}unkEom$5!Q9^Bg(uW z*Z_BMj;izbjgDTmDCLQddd!)2Hn+~UL;P}+*Jk$r(*h)Qgemcnv>DgvSm@hy-Ja6C z4ad!uurGUOJA%R*-wHHY!MDduFPVomKrrl@zGcd{8HSqeKGgf6wu(q22b$=poN!M` z>2Owm*}Pq|7Cnau?N7WduSWjw+Ro567KJ;?0Y3&T>>Gd~iRh<6wRh*(6y^nmnzzs= zAlYf-`{|`sM?HP!Q}i2@La}Oiy2QYPFT?y?Q7jgTMhB#CwR&(f8gpHVycRC`Ue!Ue zD~c?Th8T+d1}eLjRi8XvVWJALS-xzoK}?XBeGos09l*S&X6ok6o7l}G{QE~nlz~r; zG=^Zo7UgjB^rU}Vf^SNt=J!WPuy$cp<>fo*E4n%6)$7-v+^!<-$<5teimMCc7JlKc zUxSfW=K1)WyxmgZmZ%NdMlw|ulDGBp7~N(!SuA!e)y0uqnX$Vh>N@`vlkn=cy*Fh^ zB^nz(Z>#G93a_nw<93;q4a|G7+xTtSRlyk6?BXTO#IYExx^vX$1AhBJfV_BLI7VVR zW%FSWP;6olxB)CV?9w1{N~mV`PR@HBY2Gl>2FbOBYsZ<>($N4Nb+Zkd4TYwBYUZXdWX+ID45U2qS^4<-fch{q|0kK15B?KIw(s3MLbxs} zU*M;T*YT<3Gl_ek<_E$Fd`oESUMhdtnvXBA={i8_f{%@Om;otWX?GYgH8EL023jU1zB?YTMmAiWM!=}A++&lAsAh}n0< zQ^7PBIRZObwgsF$18 z^W80MC=-p&K!S)??}uM9eN_;fA)9}7Dm=+Azs!>Nu{wKZD&rJFs7QD zbSaw*XBPq+YQ128+GAG_pA^ii0F;J35(17KU3~~qbylZ z8Sb()vNg+pidg5C^1aS>Viv^Rj}4P2zWwocp|}KFaS6i@oR?;P-Tg0hLG%07=-ubs z{dW)ELM;YW9k5nTIOoL>^aUQ%dw&97hk0FZ1^oOd@pRko)kgTcv@Gv|T zAbSh{h)BEB-kt9P*pAalLou{06SKLQK@yt32o3lkOvUSZ&L5x^zedW=`SqN7Dlp2? z|BaHpo!!-QUki?=USH6B_VEX7*SrUPFXvB3MMYshochJap)F-u#?Q;DL=aU=7$or& zsn%F{n3)a0T32zZmoLQy@$7%smzvHFl~IR3ITsGG6XExmeINS!=V?kG93Jj&Zv1yr z5~N`hl~>&(3hUKfLs2|&g{s>CorTQh(MEf&5#MH7KHQ026-e}z$>Vw%gHVO{ z49Hz#dGlNg-=qK&hMn6QI1=m2anzoe`32he^=lw0SyQ8L4CcQZ3)(6`Ceh_XOnr2l z@$Q5%j1-=Ua%{d6@%B}CBo|bqcT)H5tYG|NVGbD(QXi0>Ut*WSFFf?y<-`19^ZCmX zeHX)%Vzby~jvRqSj%Eklgs~6b=OdyAUrtxyq}Qr~qdUrxzBIyFcAL2gUYfdv&4!-I zoHcKyp7ZSIW+p^uR*mD(^KSbQV5n<JIvO8aE{AgH7wWPiuxfM$s@p*|-JQ2ppW4 z@kU<0{E_*0C3BP7n#_ol`VTBbaGj2#z!2|_p^;JIQ4yk95?5?c!zd9^0(T{@Zt@ziNRR}|crB?1HA;WwQni@+IX6E9Ggt(FNjUL;cyqijBXVI7H8>IQfJCe`!2=e`)~@7KJMEJ*kC!v`7jh5HkF%6v~XwD`&A2A)t~GP{@9W+@*f z;Lx1340S1_o4FK z$B%7_20TF;51NY{y*2j-Zsw0S?TO?-I&}PN4*L_l){pdo)v9vqgNOZ%XeG4 zxVZFefAGO)1(F{^-Fjx1@x7{t59Mo`E(2mfcq#%}kpRR-hAe#@vL9<}>$En_qZ!J> zo;7&>)S^od*Lsd+Wa#Btrbrd$C6co*x!X|n?y_T7C27epYFM>wmFlV>i%ZPGD?Wd} z_*VC)v!SbRQrcjLX^@FjMktj#47{#I_h(YB>Ox+gJo&y%5TBM$!AKuo+o%8emqsX>VK^y2S3o38Q~HGk)e zB)23L)8rha2wRw%&dI4Y3+z??!&TUH+yeHU0k?Je*N$~Jn}P&9Yv)&jm3M^a6L&Xa z-zazm$AmP}^QWOD->DjWD}NgCcd;zHuM8tMi1r!2!6A^#({M&o&d#0mc zJ77>hP;Wu_@lfF zwszDNL;4_|T-HXVq{kk61t6)EVers-W;P4eziSKNomtl9;akDAdKEC~b z4q@{zLE?v{ei+qBLlfZ7bs?m--A_C9SnZ{l1{)4%=7>IiH#$6g;Daa0U)JL7LV4z7 z!iBAC66ywf)-wc_V%n0}NIJEwxC%r$z(5T7$8HLOn-T&C#|Pwo-@}JD?wmQk%z* zw=1{c5yIVOOI+PK-ZyOZdNELuk^^RfdOGGnx>%CS2BEh5eqY~M}7 zR(2am+ST7$eNWV;$;pjrPU`phZ|8quO`^_ z3URi4!3yCP{3*GE3<{-urmm_FfF0nIp5BN>^ z&l2R{zj`H{taqwAE%~kHWvv{{VD55h04(___--$%zDEY`vx8@DXc%$CnM!uyVF(xR z!6$g_DeP%i4!S|c*v6NL+?viCoWa%bI|d&=U}?o(af;5kl${)=eyKo{Il&AiiBv4< zwr$%I=E}#JS+7Ng9(Lys^STHu24MPk*3_d>?mX}|dTV#gF4a7I*y;*Xg0~#gPL@BE z2{J~-dpv6UP-Y3OP5jrj4)H>JtHTBTV45wb1vr>c8}N&Ip=w}biOOeNF=^>ggk%E> zK9tW$p>8&}_^gK{7R^t+x$Amq!yXSUCHR^kg&AssH@@J8qv~+xNReewLb?j#xT^B;GF?qdFdK4&JvjD|F!W1O+F)Tz*F8!3!h%{ANrCRJ5MGhY{k-R)U;(4R3=A^mS`-I?6|C$((ZHsm1O@44t90wy=XZU zta20mEazw7dkjguVg2_Ek$?--7;5QFJ5}q?yp^Z)0duTPdWIg~Ij?_AL|gdRBlf>vf=qyU zSUPm23u3xsw`4R#k}%bxb#nm){F_40ojLOjMe1+fz59a<)H7(*!apRtPze;g zJRUvm8whQL!aH9R){wt~&MQAYE_)w8{%$T*W^)XL-G#Oo?=sR>>7R*XVo^4mV|Y?D zXR#54;aooErg@8JY$DEd8wV=G7gC`YJx1sOM8bA&g@>jlFay-RcC8rQFDe47g4~yFQS*Tf#MBKNpLg7D0ck9; zTlnM@6t1le%t<}&yTOSmF4sI(;jXZ>pIPgrSyDipb;lK`nP0k9Gq*veddEIhlOW=8 zK6BcQFd)8wfxCy9l#MgX;-z)7+HqWlrnlb=IfG+bp2r`v;4eZc$}tob7Z-1)0g&$f zmavA@q<=(?g>ZW0rQa@`S&fY_ri125)P2%_mDVFZ+PwkXU8y*I>6#yZ}-u@)?e(}+sCg{!q_z*0|OWr4PF+d0TaJ|k!KQP;;u zXko{rg<~zL!&xLrgG5C1VVW5Mgq@Bz9cCM-AO^kp0n-v0MsNc!`74(;{NhG#<-=LZ1f6s-6*PZO+zH? zNW8-6v!_OEWX#dX??s%|JXdWv+x@~q%UZ8-^x*w7aNQMk!=r^ay~CM!TYi0i$Fy%9 zT#+QS1c(nl;iuKDbb#Fy4;rn`I~orbBXOYp%znq_??(KH$1-KWXk@;8DMwUS@v@d6 zna_d=?hPl$$wsX{}tcB^%5uni2DAXxu!@0HVk51$u~Xv6-quC88nw!(fc zud)n9F{X(pJ6S!*#h$K~2Rf))eT&Fv)b5Fr?!cSx0$fTyI}FTzHmBlXCX78h&%`6g-Ux=l9yA2w0e z=Oll-gW=4Ly_Wy`s&HZ9l$iHlHZ&KFt+142ZbK%=W+!{wpD1j5P~1Etbk&G9>as-c zCbs3{du~2Pb9Lgby>xwU)pydBz=2<5I8S%^@R*$omyzXlJahFi{7HybZiONCq}I4Fn)9ABw@|3uBCA*NG=F zf{BIM*n*Z7WPyZOyk`7pUgS?A=PDt+i%S zD1`>NEV0F!=~jzV9rgluIUXlBEq>dLo=Qw)Q6#3E7`o(};-&c2?=j@eOk}v9TBap+ zauXF7IrslNS9#r`#^cvjo`N+n$`N2p|MZ9R-AA5DIWS-H|4w|udB)u5#yW-5C30h6 z;5LqhCF1cr+vAy6;2_|M7v39b=o)9_5-Ib$nbm>62rB4x-mon(l(*layrED6ptNp2 zooz_cLyl%4N3y&J^+PC+wXxZL_W`!!fVrM@ z+ZGmEqNMsv&Ab1SUg+uT<9l0~xFT(tq7t%(iPFBzfqJL*e`#qv4R(J4qeZqkmJU9~ z^8hV}L5A{yDF#8(#=8ar6hz^a@aZSNwJ%L4PwTK1l@RqE9E+Pl>wgGD}yUJ1aP@YA^-^$MH?9{7}-OU!I zm2C({K=Y2`a=HI1*l3b~WEHUILVrwFuBWJ>N*LC%)v_ff=nXuCvwT-Ym+%x^*i#(-Ievh-8p?3P}rxY5Y)K%foOLuRvKIM4pxR)qL z&S@mDEPU&uGulHEuuJcz)xiuc{c&kEK!r`)2#bTKhsWL1ztIT_Y3%r{H=X! zyHQZoaR0s@qChn}fK$U)i%64YHc9WVdho1tRY0b^2YtZ zcQ`|_`W_Ww>b~c(+$YB(#$US=bgZJM!yNzS7!qPgO4WWmPEM%kOknPD$7qf8gZG={ zYC!@#d7%j9jY0*U?1jW1+Wc{{%_oK(WKc@_@7?X4YJ2TC!aNSRa&(lHe8qN8v=6t( zUJ*~J$fI1C8gU8l=g~iy9`&7CwYl}c_b`4Ax~$^4t@gb#N0s>wkyzxn^H1op?`=K< z$tkuAf$eB)+A;J9K8EO$?S>VWSMR7j4_bE|l+4`|Z=&OjT_o z%+v2HPZ`MZG+%wcida%`;C?jQ=q|TAc|8%Q zRgi%s@b3FGUE%O|yM?}5bv!PX6$Yk4^r0LaQD)qtJ@SgihpG63hPzmyodQj^B`UUT zoAC2A*h!b%gtTy^henE(zlvGL2Ptz;(o5B!?J1(7k7${kU;eX>aE_-wFsDuOk;vmh z&cS~YwipSPa7gkuM`Yf8`|a22A5D>7A&P5S)NKITAF9(1@z2rLId9a){e!?*j1S`G zeI6~DuOPAmWUss9V0w>-{KAD|--GYozGWH+F#H;Dkd12T043pA!K6)VSQBArbd~En zDd*NVvj}r%{%N3$TNZvxXc)c1zy{p}2$j>PtssgBy$M~0J(6!pd{RY*u7Ds6hv(8N9Al552LbzkU4L&oiA#!6->St( zBJz`|d~mHk=ZZ?wh%xa%tB(n9kJkYi0>{JosmC1o_0l9ruPcwVY77&r|8`zXY)s>Wfux` zGG<$jM-4>$5e!ud-o|tl`q!V?$@fe<$Gw2D#pX00 zPPL#3qaumtb}%wG4*&;fU$Tc*H?{lZ(1w?TgQsfVt|+Cz@u?Q7%F)Bhr;LE5l_GW< z$rK0Su#%${=^S7T<0dPoGYv<k&$+~E|sc4goOvX~!qc8VsLq2e|`i8k2GfYGiM?X=W7YJ+-ny}>Oi>hj@ib2o(WEk%;H8S91d>?jn2PTe<;O-I4mk1Q%%`#`*G z*O!A2ZHRGr8t@>WbfPZC=;f<(V1(ITh;UsIczt`YEo?uGk~ce?`&xS?#x@}g3-TT+ zan{YRr|EvD*4rUSqoFard60tG-M8NW$q2kcO#boX-817N$L?@Xi0y9tKP>=bB+`f2 z$bedi4-x^g{nPlUk*>qAZyGC2G0blTi=5g1L*6a`Rh}o3_}H?1KF%aV`*l%A!njfn&8?`E+NK+({enw))oqi z$G#{N@BEl_-hf+x_;mokpJTT5$SVn!d_Zn9qj7B4$JQ_f3)$uH#BKC$f_ZHJacEfy zFyAC-Eyxm7&V7nA6;B5&3}-mOEsg(O#^Qo}*!ReSAW8}H^FKvx_w-+ze|oldJZikD zb}Op| zAxpvZfmC^P=As#HdAK)3e(h1Hcyb`pV?d?_A_+Xo5kCXc1}3o1%};IcGW+0jz&0Kp z<*eW1WfWe<$XIL4x(J@8j@s`i%H|T8BU($QSeTD#@UwBR8?amDIcyu}_yg%`)7nRA z#Gr+Yx6(oA>e6`w>VYvRY^P=^8)=!jtg~|IY@)-?-a^cd@aEdsr!vnmje5VW`X^C1 zS-Gt<;ECO*v|4j3y2UFthNnN?Q`#9lbPee~D5~y^(RvlyYVxbCN~0%P_$PLA}ZqauR4Dp6g!ah3ACmaex{H zk82AMITN;`%+n|(_w)>b6jJ`|=o%=!o05* z_*0Z&TUo8ZXML%81xo83+`w_u3mo1J1A%sn8;($B}DPf%e#jy{&?5C zZ9v@wR?4;KL|_7_{5S5U4ZzK?1y0S>SCWl5)>1L*XjGeH2DR{**Li?r`X3vEWRXH6 zb4KA7J^|F1ohau9-Nt8{XWVkidAXA@(Tp*P{n!h3a?@XMkZ792T)KP~KcmpaN1$LI+%Wy!-Q1lRCXS%EY$yUf0kD9_uR99?Zow6ly(wa#P4O6EplIQ z^f+hr)v{XAQMp9ASYEN2Mwc#40j`bms5Y|?bjx@LdpeLdK3=pi%aitspBs~1YJM>-*zBZ8CYRqiKtxj zmrZr%#zjqfeIJo><0qI8y_)s~%0GL}SCj+HY1y|&_4T~7yFXrYmK`1(+zkhrTGVVC zb>DL&3?bM<<`Ct6szc**2#5;$p{XbxlsFnt1C;ymW5^&b`1+cfna$sn+Jr9!W>4fH z+;kbnnA|Uiv+L+O>mj38cMhC;<+cd33QRAao+#~vLUihEwwaX`hCXmSLvP;1vK_qm z`zL(Mutf+AouZtD(XR|&5P)0^+60)6b6nADtQnvzK>C`%#V_dovNh}f12fECZSY%L_AZPfZPM>&<6)22p)<^n-sq`Eif*IZwZgo! z-V1mera)d}eiaE21aSV`Gu0~-Js+F%%I!QnEBO^<=j3n~ipkGMj~*T33&3jf4wh=< zUkxFm6^u15A)?j|%1t$d1wx19l(G{JbgW~P5>Es%Ru1c?M<&>a#^M9Sv>bRDb6i)& zdI)OfSY5+HvxVbNSZA$8e@roYX!Pk(ohRX8mf;3t2Ic=dPX&Y9QblK7RG+px<wuqLwroXEQ76<}W0_fA)kEnPd4d1`6D~#XAQ~_|1^#hvAyr8kCeOpVd ztgXf4PQ<<{l*|A= zgGU884WKa4NXsGMxxS&;7v~LAiVM&IxN}zaP19gLz~K5n1RM4rNO{qH+x`BjmPnG6 zePcbot;R;aUmwrlY{j@%U0qGbIp%#)8MS6;&Vo}D2hfJF1;kxt;C99JK-B5BGD$0= zv~r38D@q+@#Omt9>CoF zm(k{OoX#X<-6!su{$8HE)&v%U_+u(<`G_zi?kGoY;9Pq>baG$(gFTZvOeNnkZ`7vs zFb4^`YuB#1qk@T4$#f%a^rjm(gsI~rp<0p|c_k~~;I1QxF}iI0{?p0v)4P%JAHlW? z_3z%iVvb3UIGzW$#9$;PTAn zVQ2UTRs^AX!v^SHizY;pi-9Wd7ro0EBgLfe9$ZKdLhX3?mvIGYs zs3S0IY3K-{;bj;2fZ%i)sY|1ms2}gU^H7jVCznuwkpu{}(OI}yy>DD}cc1Zk)P5-B z2{IYsc`TC*`uQ0N9M&c#Z8Pjg^z^WRKmNb?Hd?dRv zlrEGsG+YEyOjF;m26!8A)>XDZ@HKT8Pr$LU)`=7aB!sT5^oI5{dPK0>2ycF1SsuPx zZ(h_eoqrp3rXd3Y>1qIrC8eA2(sU@EO;Nh54W(K7v)_5cg>GCK*c zQch8cgdOR5)*8;qKj2esP<~H|93zQc!xmqNiqOWCZ&$+CibFNS0}n zu`6AIGX!GW(M?xx3$poKH5Es~oPQ&>2>$$b!t+br^nT~Hr==hGh>#Sj6!<_kGIAZ}oTphsN1rhzeBR)OA(oLoVx*Kzb-Ue3OmL7bry(1>g*2^jpK#I#geNV;l%~k)O=r(jf9I@Q~;;t z?QW4vdPu?bj;bGU;}r2fkgTWCd5~O~lS3}+Cdupttkybpgz04YKh}w#8ku%LxERm% zfpKiPnt>a_)YOzT7l6?<9oHw06*e*p3kztq`}bo9g}y8jwlDmJ9F-K8rLV*Lu*N}v zFn@u%%emssn>XP0G@l?W97C#V(68cmp3*7rwro&De6KQJf#?@dKHPJ8M1}?)1V~LT zDDqmpGUqM_CSzi~50|+CaG*A&?aXV6Eg?Y;z$9-vm=7voI zmZQm>k!0%Q=4`XV+{moF+laAhmrEp0i5^nHXHqsqFIZ|?D0i5Yg%Wiuw%3ov`XSpK zoIa6CKh_-uT1DOhKoA^3HE+95o*R#QPBDss6DO5+U8z|G@v$w7G4I;2Zn?Wlz_y%p zndJ!%8_~BFDn7VwwEC+c|Kz=ve<#;e+;My7Eyi-`|HK|q%`eurO#J?paW&8z3Hwg$ zbUJnD?<^^sKyaz;j>y^|b_z1H3i>fMAioL2*d-2Q$WON%sT^i@H;}B_s_N`_a&mZ}0oj(|%@xc5~+@qLzVM+UrTE1jGXt_dG-@YeONx(-#W;EQZ zA-sA1xX7_QW4qF=uk$#xHDtDy9-@Wg5HTXp#35E{I^0179IBs|x!v8WcKqsxJ3ijB;w2?4AHGj6rqB;x@`iq zoF&xutr2T@6e}d(qL01`dmA>?e+k4ZA8(#*Tsaw|p-DgXS$|s@Z@y@!gUqEYxGJvvWW56X_8DuNOj(T2Gaf-_m!-u; zm(WC_bC@TdNM8QaLsVhT1|wy)+jJPJwz{Oua#@m^nR0z5N`O&VgCm&ow5XW zI3p_c@~O4pNeJ2B1AQqiEM)tXC2C;qu+r)wj}bO4KPWJ8`C&(^sfERb^XE1GvdRKS{f$emoK4v0v(UzYGu?)-RKpbWC*Kh8({f|5!V57nEH@#;msWwA$A|VWoT~? z(-gb~_IFhzWNbGb$e7$+dhqUFqRnL--$S(8nj<`Zm{-x8)B;CfJ8btlA-DbN-U&qJ z!Yd362Kb)v=5oto?kyQ0hn1m-n1n{)RdHt)AMMq|09yO1)}`X+2!Uiy!6FXT1F1RE zRu#^OtVXf$-yaxZhzeh%`auXMyDgGDZ~u4E{x5tpArDRgAN|)OhE{0t;=C}#^tn$1 zgC8D_F(WEbDu?mkCN#8D$^kk=9^qJLx_TMe1l-K6O|TBb|Doq1$`SrrqR$#Q2A8$E zyI3r3BX1`mtbs-sr%+Q;9r7%i5u$O3y{;vW;&dkm4u`f4>*k?IQu@9_$SQ#IUM)J| zxTEI1xwB|DA!rTf{=Z;$tQvNu7NQ*OHU%Oa`^zn#fAm>gT*UKH-y3xWtJnT^XW96x zqhh#QD#Fw@Sa~k+C!c~$0816GZ`fJ-vQnv2Q-R-b-!{Dm0zcL!d9w?*J!M$^sSJe8 zJHMN=A2mPx5B5h%bxz@zFK#Wb%Vk!Ouv~VYd@JG;w6!$tPcgZ-5aI?o+y!u#2~yw? zMshmE>Z?A8sYG4WZd}cue)sr7DRvF2`QqZ@uW-=(L6t7G{%0hj&g(0@lRNPrvt0pP zTHeToCt^l0L|*aDVATAbFj)utom;h`$+LAqDEMKFNPvK}EOqnO4c&`k_S*ra|94KY zt#xJJ3puFlvQqQ?5ru20%qJZy{?d!>N;{5u==@i{Sb=w(bKJI8jskk4ge0+pFTNfQ_c!yV!}a?8Dx5|5b;SY$@mejss46NvEcsd)A#C?+}HPGvGC}Y4qiD=2=DOCt@uOp58SVP|4{Mn zW(^`$9ttg{{8bFiWO}iE%p3F~+MTw!ocIjRWHaurePa$X&yJVP$G&joRq(Vubclic z89qHCWc1TJ>?eVOiM9Wh7HkN0xTq?B-k)Nuw!VnUX*qa~A3hYMpfX^jzrPajm|akh zmf#C4>9H0&C;}?0W{H1_kfDWRqr1BsBCXJ0!>8~o!B}+e+yV-cYvA|C9vp%t47qCE zKNvB^@Xj%F^M7FEwnpw4vNL#Ds2FdgVc9|#)F8<&R;YFcVY}g1aVs1y-7PTNY!`6(7;5k~ zgoE&qO?~bmf6aVGuPPhG~Yg+5MO#7qob2Acd)fwAm1z^d>2*io1^5#BnefnKDU_`IkUj@egdqV3ADnO(4yR~_$ zVb$YzxhNMo6fv5)ga$k|{eFNNV;TPp`mmA<3P{8gUOPG%dY_TnA z|Ni~&VPHY@Llsb0TybO2XZ-#>*c6gy!EJn~qlYRPdqt2kA9lO`6U%&=y$l@#_%cxZ zPP24|Y=ox0F+s{-+ N>DtjMnr|#t@|q@)%2n#0j<%!^s*K2KyN{X#tA2ft-TRNc z7=Md)k8tk&B1RDlib0XjwbW!Z)sC=#!kM|g3AJFHte4rLht}g@~Iaqa7h`6fWsS{Sez!hc6IJN@n_)mA@<9_M}EzPS_ zV?|L>3U`TbJ!1Rc%)l@A@P%YmS1)3XCKQ97JLicx zB+Lzjt~Vc$2vE3cBFe$sRwgMi2SSO5n+3i-Seq;Ky!ZYP`;C{yG6nW=wcjtU(FdP~ z83V__Ti7trhI(7uYMX#y;xqie;{U_kERu8>T3T@?g|SyNi{wta5>IR#5iK%0Twfq+ z$Pon~Z7Av$`s-4KSjtB4ZVuZl_JUIFY(s|!bUe0mUw2u|34>`Ha7VnPvy05gCr;HToFupKY^vafwUAK3M0JbTMsP(4=aM8F zHbJriHjNxFJe2Deo%qW#;F{E!1#bjw3M}T?$vJ~>e84)qsk;AmLltF@Vx^D zO+D&|O342w>3RaGFRfygU8z0DY22y?=?B{@Ja7k`JxgR}(S7e04+hK`#TM@Oj{5$F zxGB+@1lCFJN3980|Go}qnbvGwH17;*zk{I&QZTeWI^N3Zzcqh+!`DxT7%bnT9XFuL zO@s78u3P3PKy97eR@ZSV+jzI?gKVS`WV??@gA|$T7~p8AsPK7qT7Y>vJbntY5VvZw zh78}eh~u{iCa%pknNGe8T@08DiOdrwBP&t>!y{vqA+0~bDl4Pg45#^``Erz(BJ&n; zPdg@4)4f8&U%E1jX;92HIy#EWG)Bw+5t_&zzJ85hzajK7I=0fPvKkq3yyIxFoS2Cg zj-JpvnEvTM*_A)*4l=h?c0xPsz8dyCAX(4M_jU;>H^WpMZFZOs`=_BQj5wDe8Vd=2 zRz8dadp!*f-Qa9B14z=2FPT7ckVF->T94D^b{{k@6>H0YMzGeO!>ZL{-{~w1(}6mv z`_^8ef&yjQzDj(;vD@|g(d1l~(Fvu(;2=ZL9xXv5ZS6>%T=q|W>X6&V`9h!LueRsb zRJO91M43oOmpZc3aP*%}`#v+XMKLuuKc7CQ4SQd{sZ-`=zCYj=HuGwDT;~BtdWGQT81*3T~? zB=QQFZ#MhV1X>}atZs4(BQ?%Z8SdKDw`FZxnUFFM_SCzpRI!w9u}dn!hBau&yQ0LRyS%W~aF#ycHxDi^}0Udo0+w&l+nO{(5>#y8cq!Wi(k zLqGNlBg}p&keWky>a0nXEfdr3^gTqGuh(HKRNuw@(@2#37YDfVF3sF9K_T3W6EMLj z8eAHI&4JwoYuMZi2%B*67Y+Di@)CVb1c2~*aBvnJJDflx(hb;$S{xE`3c+d3pZ`S? zpm0Y)>{TXoEl2d$G^3x|5s@T_fodD=t*l}$?A{oGKlkY*VWsWqA5mbE?7}0EmVf@> zaXUQ#p2&Fn=+cLBud>$JZ{O0D11b`t^F`eNZ6Jj65NW@Hf+lmZ!yz2y;ilqeJUpDO ze&N7D?FV?%*5ChCa9g^M{g#I?67@j_TPi9)xD(f^4^F7Fk#ziG+ zy;5Bk&7L)@`2Hl)CV%ib8T89N86vIyYQ319lN0X#^_X+Apc7~fprm+YwFKu0Y5H(Q z+FB`9;#A@#1*3lO6HSUTS*d6xGcn%~P(t<^QJzz`?>V zhX??q({`^++J_OZ2Y-Dhg z6FuzspS)9eAH3yXiMpoP3WTNsAf8oMzg9w$K^VsC7kZSiLjnr43;nZ5eD0)dP=_~~ za?T+kd?grkiyj%EjaxP2bYy!)F^GaxK5Fj`~lOmf7RB$go0z8tOjM~^q zD)FBn(ad%~+Vo)~lKam=SY@l2!_&Bhv$O)Y!^FIQqa@ck)x85Q9dmSRjnDpSo`oBTVL>ucy$=yGi9|A8fz8tay)=LVi_dBI*>sRR}oD z=YwYzxS^`89L{pOe9o%5oo_1*W()KvJ+Fn6MpqJ*Ymy)2*kYN!3Pj!11#ZlB#d{Ts z&#_B-d)j0$(6UspLth3{!`oVKp^%Gqxpm%3thX3{gaOz%d3kS6aaK-R&WU(Oulysd zVXwBOAA4%Q>q1$r4*(fRI+mGFDlCRylX-1KRWT&Yp$eywBe#Vb0u;*9Xwq-8MICx| zV?3ct)?JhX*UEw57Ks<5qkEc-NVf*i+o=S{pM~Tgq3hbaS8$57hfB8geM#gYrDZ; z!gfqO&)Ce|oY6KOl5Z@q55E$QlV!7ATE{UKr{%BAaP)-G%<39qSL24hSSL6K8* z!56qJtyT&`fA3x!npq_5j;M2VS29t|+|ioM-NCU#;3tkoqUX7EvF*<~(E2}UffuvP zWboW`L_GP&>Yu(YsP&RMgkO=kqmZ>hlMM47)P`T_kKM6^zFpf$P9N5a2j!FJI6gSl z#u(Q{_c!eJ+6DvHN1}?wK$gbn=_DL^0206J988e zG692Tq;K0i{EE;R$*xE5z5`wM2X+yz-2-(n)FI&iF-6~Su}X1K19OU@nyAr^TXI46 z{vUAm{?HR*+nHSqgh&sv{=ZMQ7%=zuIzk$Pfjj`Z1^|~qh(>_U2YHM@REUtLF(yeS z#9aid!f6|$McY%|Nu%G-8m;-j9KpFxrsi2y8aI;fL`X*=bahCh4p}3g@nF(#(WbDy z>MHxjTqp@1Wpi@J!|HHcalVPVXiNDs{T8_{gysfh%JEvS7S9?3I79#{t^KFaXe1em ziNixSHS0IRVj!QCXKAb65akHXrtMqdv`9lO^%?pL5j@Ytht!!rq(HgOo7Yi8jJi6@ zH!u!oytYE>6DBk^C+Ri%>Uu*-lb_(b{G09F6?^>I94?4h*w*1T30*9*N8a*C4EPId zRSu;{~X)puWZEC{(OSABi7Rp@3H!-YG{pLP=zYsilz zfhJ$VnFWSb`OcfaLXeZtK!-|`Y=U1v{x;p7BADfYcd6EKXd_}{TyqkEwfL$W4>Lcy z+Ps@;YRspOf64#SaFN4UpjG4j4P^zJ-~76$nmHG*1gDArWIQ;Uf2nk^QZ*{9GZR`y z+qxfk1aMgi{6yLUa@L&Htz|785A^q86*n9@ zJE^Qb;w!U(&h*S-+Y`HFjGua@uyJ1c$mM^ulV!!_gUL_W8Y7H`2r=nD739-vJ2z?5 zX7)z!Xrn(=32h`IroI<^mOIC3Yn8B zgd{{s5<-STWlCktJd;plEK`yxL?TI|;*rpx@3`&n^~e70cklN5Xs!FcuJb&`e`|lS z1!@rM!zAkH77@O-sv;f~dtTrfr2aw4tW5M9b#{WC(&P#`##YjAbxX%lqxAj|uY0vx z(uOUOq~gC^FQw$RGMA*g9>!vTl~eb$hLGW1}4ovLd4bA{JUeo|h}Du@hyJW+$Q+sIw`WISb~KuFx{vJJJ9;r>tMiYU3bAqHSMeu}R9h7zf-UPcdz&7SWbNL(kYLT6zRKJ&r>-;@)4rc|FcV2I?*8#Phso0X52Qr5oWXtPW|OpiZE{ zD#veIqahI=+!EX+3ru##UGU=;{EabB(cae;Ym{X=U|HQG1uOIr`B+Y$+L0)1Sm#=h{w+?$~YIpE|gmlZgx zjq9#dSOz?i>?eFTXcOP!8ETNL`uIM3*XGjwz zt)F?Ses=GD=6G^S3Y1KXG? zKL5K|WjpD0!zfQmI{uan0~H%DAMsMyb?%s3p5FQa%Fjl+8? zwRH*(n)e;(Ne;@Az6zge+j^nakxWA<@JiG7OlW%}JZuZ!RU$7Y_%La5naWRuqLtZG zi)5UYI~pw<6hS0b!9kT^1o#Y6w%$)Vh~+;8-=aYJPMX8O$jb2BA}dKhB1c>s76ptp zRjK&Ou&Z#_tV_B6gw{B2G!2{&!)G=1Je&!Pl|b%C(GOX#OGmz9&?TkgP&6?!o1PLw zdC#X;4^G(FbeGQ|4*(S<)=e*P=_9qo;qC9gYYz@yM9`G^cvK6n6Px-q43%I&V%_SI zn)LMDGmi;Mxf8FR$MHrw4_0n5Sk1p)fc|Lyb=&fc74P1=Qg_-R?q!+hq*W?t-#;i= zV6_QWRYS?q9cu2d(fwgua~ghnLf|PKJJ+8Q%}l{}A+&aZW9%TFe%6%E9wOR3)>H*R zpv}|GEv{mt8}CI*es(~36}_4-amES4__O)CiG+y&dHnK)U91uC9r*rQ95etentbox zP0dq)gYIT=krbb$tjjy$TZm(U%|jiZ^caZ6w9LS?y$@Tt2uW=tttLEum2Yd^=ESHz z7VTi)F3`JkFb#KtXu5tpV<#)iEJ&(WZ%c+|m=wd4+`^pIjp8N^v3> z1g|(Gpi95}A81ZMnXq{86bl9~JgW$VBMHJ+R7QO{mTtq|ubzW#$d)3`oilHw1nG7} zX5cok1aS?|)!Vln#BK@@nFV5MFQmmqFGv>{UNe_U(9Y6oFrJ?XEGZ6V2;>n%>?A=q zFJx5g<-HwjgydbixMp8gn)BiXRuO_zoH7<4XuLY9_LbSngl|73OyrJ2`s^zA%^m0J zL&LxZh4pP1vvB|Su#GiRDyfLMnz)%UPQ{d1pd|vgmf{1Af`RDZEw>HYn06MVtv!+X zU>tb~+%B9La0ViV;%zs?tP^U;f&$gPqDVVoN$rRk{=@99X$Tv*T|#g5*>+>|ZwPe} zDkjs4Aqro&8R?};{6iVCDz< z<%Rj~%njUx+0q)r@vDcA9L?IF(ELIFI)PKq_RK=0qGGTV=TmrcFaKG3vDm>~)R-#+zasoojc zYRcp{&Uwyj%=uQrV%6t_^sm7h{K0D9 z@UP3gYEhxQ@d?wW-U^xx2Pw`Ca=I-XG$ny-JAbYOt6kQL*$toTrHy#Dvy5)>XxLG3 zs(4cU3`QxXM0^u1Vnds~ly_f)hzi$*SjjjQZrw$>m$>0yz0x0gaJFLjzcUT!yTXki zTlle)qlju}2;b#2=(FsS@F(D?nVrQ&nZh-wcuUJ0d5u_6@#(I}PCe&g5_FK=I#_6N zex^4I;um-T5*&HAZpF(AF;?pCS$Rq^5V684_$PzJ|2NTSX8}5z_^jLaTH(^IiZ9r&!FsT0TFz3Do=EN)V}@b>3AdSQ0>)s$X%F;+FwSwrmPQfY}awih0h z%|T=Ah3o_a`id2`l!qCgu`|&hJa}*ddxryV+SgDVe=HZVQm}B~=(o8Bj4^npZNVzHGwj(_ZnZHW_Cp_i&Aw{SWB&TRDJgF5_kMi* z_;4*&_H3M@%N=?B-usHh+s@s*xU;-y;I_DSoO&etrdWY8^6$Oo(|K5HG;}JmZ*GM zV3>%KL;0t(i`1jQE;{R=rjZ^EW@%ZyYngOW((`#JN<*1@z03oZn183<4mJ zRib^r$?)ZT2VN6%N5~%@{);R1mgtng;eZPo$;4vAp{bjgbf(|!Gj~c zy+UKrB%Q|Z%gvjZSzJ$?_f6T@%@7b2fw;Bno9d$SiEp@&d+vPbW@w+q<{HST4tisV zwsGc1B?E%60*OCR6+nVzX*LbDo)?{leE~yU^Lh&Atv!|H2I4nv-fVm_>{^M9z0*e| zu$M`)+B%yy&nD^A`*-hlO?HN5!lHAeU%hu!GqLX#}cY*;P0NlS4YTTEFV|GKc?S@Wfbu}FeH z=19UG?If&7?ljtkdfcW5g0{iLz+#8mrPT;EzoB`q9ady&Ro4(|DyzsJQmuD|!-V z^|~DcjS%FLLj?gtk6hT?n3$Q5mL5!STsM<{QrxVw^*?AK8h07`7$Wk=Vll$Ri~1i) zlsMcH9PQ?3l9f&{w@GlA%RWO1C9nlPG5X2p<->Eev|K-+V1!^*01G8IA79Ieh?OOY ziIAEBxpC-Ks`kplWpkcUG1$l-rqLgPt^AcVZQy1AjZ z24qMrbYS()tH_xiPf^)deFlEhEFH;zo3eEuT* zfx*rYO6WI+sNz{FH+o(9@lxqS6iH6?BwkYmKf*-Qeg`vlAzPu zzkgG3P`ksIZ{HIBzR__BgR0?CiBQPLUZzjLUN_J7;GF{mamj|_TIq)e7eMPZjRvSc zYOekZ;9+T>Tp+kl^EqO1M3W&Tpbr&F1kj$jh@1^*S8)eAIXNjt-%CnLdhh@uiIJ*v ziEF;Dn_Or)ZkQG@hf-wxbYRGRBL8dWo%Xm+$Khk|bO-^WMvhY)hvMW;bqjFM*s=8f zm{jg6uwseKKzHe|+u{?eODWxWl+WM>2#QIoHcs@>H6+V9MvS{@t*|?A7+8#FdUz+v zWYXPRDtjaJz4w*?qfVkpY{UKQ2NyJ+BZO=Na=;W66r#!)>#SMo**BGO-D3!5Kn@g8 zPS*VnbSKh8V(EJ-FA^t_QgB4LBrVaG+uT=Y`%UOcbR15U&*Jmg8rXJbJ;vWaZAOM^ z(nIm%+snvgFJO4A(ngrcuzvAboGUYr16MP}V;U=vXpTSIEYnd|BoKmPc(@MVBYhq= z`_0!0j0l)QyKf(o7>T$>eD<*Xoae(i;~1K~?# z3*(0o)|_V=6Ja8q!X{brr8dan|{vm zw%hjvSUYcHpF&r>{KHLU=iJbRw#aSQ@yGwdo^36%ivZUq=P(>nu;pq!Q^Z8G~~x$m1m1j7LZL z-0cj4O^`9JorQBDWaE(AW6Ut3_bc~D+Z@HFQUi;1tGIbS`Fm~3Ka5XP3_>5YcOfrc^+;o1T`^Z2bosMOL-81R z#{=#dRAGTrH4j15DVI-@e+IdLfg;Wyb4*V!NUp`bs;aVbry3+d&~xU}Rz7+p{xLRI zD4rwz>~j~tBQh&>AA zMJXS=CJprM&x@>00iifm?7ypv2Hs760_F*!@$o}~KTF|4zZCRM6>5sH`_hW<1oP;9 z?5VvXeE5Zm`&ox>(}eY)zT55z*Lo&MQhdh!U#x1Ih|kQI7ZJa#5!h^UrH-=?3=Mtu zP>g#`gXlZRHTfXd;OstMX9ZlS|1Ajf8<``VsE2hEpLl=0@o_wI@)6^uWN9p~M&O45as(NhN+CClij$nIxIBgGRZ zM(RB-oru36rOmx6O2M02Ge~e#e7yI8n+cyRsKcv`vgVb#J+1zHH725xd*N>TryVI7cEg3mBwqvyr@4BAE@eo=xip)3xM75 zDNAI|AGZEDK-Vn8aKkcaub=$AlUJ;2;_y#>7Wp>Z66FJEM0DwEFderLM7+AeAsME= z{{E1^(d53{WU6=i)t0n1Bwv*D%oNhx&^*O)^4gb>fi^%AXg@e`06Cv1#6~PIs+XiV zCoie6MuhkOQSbA{|6OB+(2(L{ljFO#Y`$*yb%$%4HoU&)6XO<^oZC}40>dRukS;^B zO8Z9~KwN6K&9NhDq?si@KE-qL_l_Dc*jW(ImnzW(&qjbB9Nu22Gxe&8lUZXF1fm6x z1TJezct$Sn)+yS%0wEZ*WNpxcT60?_f3w>Oo^9LCy0{o>Z47~15gA#~Guf5XhD$1L zIxa09iS84hr|(cHS5bjV2FzBe-Bs}BtgQuzDh7}ku4jn9ei+YLN#i2Q*J@(OSMa(* z==-h0O|Z(LEkIRf*oIs3XCWC`xw)r3bcyupBWO3l%;N0ffAasd0AhD+U9mRf6He-< zxpq(W3_k90$3_m(y{fv_rU;NwTfPES(b=;n?=?SBL5LQ99gs9*yYl;H?%%zO*qSnP z-DKPIO-dgAb+m$#S`vcudBT{PsTpZ{ptwR_x3q+KY0~$})xc55K3Ohs?Md#>Wp+iONFbp>*Y%v z|3IA3SPC^8RL1A0^`};;{vkX24-vxSM16610=c4i2n`ZS4PPAm>Ksoh{UV8t|kB@UdS=1E< z)4p4--fm+&-=A$OQyuWv@7B)`UNuCywct;6i(7O`k$T464C0amvQ@d~Ri0(z&ggK- zy+%@;o*Ssw%=gxHFW@O+Y zWe?6GbGDZ-Qjkd@ycEMYLTTo$n3rWGeRwCs;6sMc;8KB5$^QhZP*{_D)b0%9T|qJW zGlZWqZIbzDR^j;8EC<1#ybA8@=Z=KTQg@&ro$Xxy5%koaxFLJ;%FxTI5ATsp(o1!| zZoWn5e)Ms>M_irdPSlXASXGcRC=%%*e(K!ES*CU&MG{>(tnN&}@R5Z_hj!x8fq^X9 z86kECwRzO-ne+#i=LZt7$SY)IBslK2uB}EgWlhZIf0&1$GNuv zBv~sh>yUo~MLG&p^73{@Pu5zOfRo|o9xAoF#%gqn#GoEzD9O|uXh-vnIiD^vLv^l% z*^%zDDgNH9_YXtI9k0D>&lMO}X=&^n*E@THTkC@JL`6|p+0A$csHcG$hwCn1e&rR* z7RJirjc>GZg&VSCu~3Y@w!&6s_MKfrPF^0Ps)wS~m~$7h$6ue*3a^tw4hXT5qM!Ri zT?XDfhs*}wlp_TOrsOSV>d3YuRsO>TYnIWm1;HcK^rz7BVSiLmE2f;Gk~VkdfK|)dlwshQ(T5!s1`1>+;*CU{6u$sjg^mF1-%*n}t!AU!d*c^U)aBei!iA3B4 zB+RJVu7Cd?1tjl&Xa{EGLQL_+`w6V+=lL!o;s(xhtTdsZasB?n(t$!JJa5CGCCM-> zf50UGb&-OMOd8(^kDA~((RCRYn@c@TzC6X(Ym|G`k?skt!^XIHlz(?QNmlt0hnPSi z$56kJ+nwNt@4XK&_ch;c7isnU{L7M&(q=0&ZXu~iZT{c;Yzd3Q7Ibj3@wIX=gz{SJ zy`eQQg-0EM>v>|uMtQK-V2?PlLum5o%a<>8YpgVdVrVd3dW7A2@$zO7OM&+U+0*g) zyi#hr!~8?-p`?pNcQ=N708ef3!|vXFGO3&Z{_7eRm7FDH^$z=hO}XA|S82&1Y6F}Ine^YoNMS$D_B@TR{ zZoh&e>;xW39w+jbFSEOz|sYD)Zxnil)7uGOv= zV10O31)u1`!UDoYNwjcRXI6TSqRf^K`2efx0I<9QofD!z!)$xAbbti{<;)H@94#>=iQ z{%k~f~#v+Qc8*nDlLH*BSEXPTsrX# zJPJ_T9Nf93n0`JFUO;5B3`1jrV&;2Y*^d^zL|E@WctAIC-7X2JonyiXm>gNDS??#v z(x_pXexiE*CdG|2il8r&lN)~jkM;PdlCcWs+TY*HsRw)*IF(`Ie+zgze(_iiG5tIR z9EjC^PL8kj0T?pKY;d$8>(21)<=T{>xVD)Y7w#VEg|T>^%DoB-Sf1j~Yv}}K&rs5_ zaW1ab-tI2e0TPUH6}KeW5hD$>2-g}7?A*3tI;0JjS{JtoFtKbbqAT2ml0bRi6t0B! zw5?IJr&>IMm^ybscke#MxyNDs%L^+wihv;NAbaLUpLtuEq4)21_gepNHGuf2=dBh&&9nctZZRkzwg;}rLCBJ55S;HwlZ zhb$?_ieV%>_P*+QZr}5Ld6E)8?1tcP<4*>e-UpQB;a=DLzoz{>_JPv|$SQw_ zt@gv$a2b}A>GXO0JzIDe%p~H+qs_}bx6OY;+S?hQ$9cy*0Z{p?>^3%ld=Tf^=0S!7 zk){Qqy6ls3Uo0GV7$2;xcd%$9)H>jG;WCZ!|0oQn#;YkWY|K}t;?0oIiZ}`npgE>% zc$HU5poqnk2@%ez?Z3^B9qXQ(n}g-Y7i4_upN~7>BvS}+io1LFE*v$VylS9NU#^{2 z#%NJyK1WmlLXb^F)BGfUF08x)qJhX>1*L8PFN97M`lwa^0B7gVcTcCF+4<1#;qGTY zD@z8NS1HwMnz89B*!Z!;CONNW17R-a$?Wm#c!JR>+_Fsx$$|@^g zK}18yYnwmMZRSR*Soqz}p4}C%4fzVxqB%${K4B4g$m=8NOmT7>osAQwWnkXt*ifPPmD&G^w?%o7L! z=O;i09${dEagq2|xoyo}w6xGlB?3?o@klHQ!vZZ4A6Ej939)5B7ReMOhyYeJEifUz zWq>@FFT+*QQjBa|WUdf#Bpr8|=$$Ly0qr%79$V^w=8fCP+`Z{X44-B zW#Id|W1Vo^sUM~1lZv6?$~x5b*KC^tOfqF1=@e#n8UODa&fgN5VUBIwbm%$~iuc{U zVL+sG%A7V&dP|cT6l;5%+jz>ubx+%_0k0)?p?tJXWQcdT$%9LEQ39mAj`=+3oB|~5 zdy-2!Q4&&J`!a{UHIL~$DRfv3Z3|O#m)8`ZSpzNGdzV)5beB!BoN%!!4a1PZxH=*z z%7>-$#WNcAUma85o#1%pDAx`$r_sfZj{rwLclsE+L zb?NKrO?2Mqn{jh@H~o}OgA}deY^hE}AhummRGVP z;3mFfFvQU!deWA=tZ7#ux4&i)0FNxa4cA5tA2qxns-1!ibX4DV)D~E$8zh}Ri*L=t z%Uba$)5$vs5^7p>7|(39ZHQ)e6nb1p14h(C5mV;*n)|+N_hsboeT9n%iy${sWKLoA zyKlE{ZNWDQTc3=KK(94vu|Z656U8*vm?-fHtwesl#o~_Z%W?rZk~UV2IW|&RB6p5{ zPRkd_5P(m@!dcVMYk!m~IpWE2Q&iVNUS8$?ASc;UDgk>4UMsX`GjwQ6C*He%Kjd`M zau#?b7ujU{GQ|T27`kO-Wkbj?z%kw#1*RDiI-@Q`E$qzIRf04Z%!2Gb?k*+(dF)bz z@3*8&sP#R1=U!!5)S*<7*f~Y`O+x2;pimC?JZW=y?_H*7GYkB)|Jx{O=cwVL@lONl zTzpw$pPHMSA?UyTJG>aL(~an8>l&}nNkv30GlW8!oY%1B0{t~RygvZ6a4-6*49(9I zN(;FD>FMd&5i21%{-M+J{*Tj2j+#Z_eKUKK^m7U{EE-Q6f8Jf}I?q7;##UQ3rw?fb z6IY~&tC6Ct+V=>NB)=Zp-R3s6uob@7^`BA&k2@sWIY`x2XxF9X_Pmy1;T63T53z+@@KNk=T>X z*oBJcl~@eTDbxq!wYw^qq#0T|oAWr1b2xI+sL{k(^PW86o3i}-FDYH4br9R}jhL8b z1*@35cX`ZTZfZ8BD%}rf+aIRm$B&cJakKFjPXLbOv5%6c2~0T5I>&Xpdm0ig;Ba1t zlyV1WVaIrGf9uMOzcLJAFJIoUETXr_!tz*GcXEQF;q$zJs@f=9*XJxhy9P586L!tu zNyU=Ef_b|$2r{a#e?Q^ze=r4Mn1BG5oHV8KWEH0x)~lb(%P}`^sy$Pte8v-sN#@(< z&)nSH-5yw8Et9!>PHc;Sb`)uGGjc|d_xCA0G)&$QPLXArn&xd zRE;0CuXc?gf4Gz~S&g9j=?FECPNj=crRw45PBUo^vEkiOSM64%amU~>u`bDRu`HXCqfxuSZbriv4=lS`lCy}h`5Gm0fiiE#_0=1lcF0VCC?%(~ zG*B=HJ-yoz{0r0>(gX;+-><&9SbU;t^S?A?ZUjht1kq0G=s31g{tF-SwsXy?H1s*3 zD0Rh}%cbIeuLsNF(y2DcQvGlB54vGgQm?yi*6V}*q*u|}Y(w`VIx2(ChMN5e4J1X9 zjckjq8ghpXqgohz{uT;|FxdUI1NI0LoD7lPiutv@{b=;$i`Lc+K@DJa;&&RqmL*^U zAc+wX5jZW9&M535etP=*iQxj~J<+(gXHt+Qa;?-8NyanEhqa>!RC9paK4xl94U0qN zc)_)dIF8SmFCF$?T}`~Y^A9Ut6YWztmd~9VF4uS=EZEP&u7T`=2l_i|gJ^2#TB#h0 zsi!a4F%uchVWnHq+=6m>m~FpEE3UW}#TuEa1zWkhQ0B0^54d(A!N%60mV6ljG2RC- zJLA#(!F)ij8ztUUyzu{v2Y5I+(Yr2WMALwFGx9TMRWU1LKGarmdWpfI(8v40NmM+KUO(Om zA^~y@U0q#7S3zr`eEFxizeQ$`v%LE#Rvg?u6aCA`NK}iB*gJVvcB|g8W5-UP&H=8& z!xL1{-rsMm$me7MK>&WtCW1{X7m>UUor>FzMBne&vemT9d!%4O#s_uQ*L0k(02PE! zZs11S?SCIY4;`hSJ($wqh1Ut`gKZ?Li=9pLfnet!aGHAt$#BoPH}3N=H9a4EB*iV=UNdVt7M{9M^66?3O^N4|D3g zA5>h0xw|_u%;-cu+m)2^=hqrrcI>lFdw})pJ&bn3+gICw%fN>r&h7^Qf*>kE#3Max z3|xHF+8l0Uwqr`vZ#sdsn!d4h<&XWq7J0M5cHrPa#4(`}R1>#KCJ+&??L9ZkM!r^o_lH2w z_SF)gNT~0S1rC&9@B4eMl~1stWM&F;GvSJIyl{b2$Q-;CqW<2$dGqG|dwhrwUtTM@ z0E_K?O^M|_;k5kQ^6t-^Alt`~jlyp_?L@zW6lc0~mM*i;OhbX8Aw;3hwzgCXrose% zN!#>a(81kdb|J&NNah z*J6XuHs;hp^{S|x@n_hvJ2Hdce_oBx{yiEW5&mkLWwZ^%-qnB0S3yn5lpG=IBN3{I z{hXLaf5QDx{_0>87GXeVxjW~V&GL+q$?H@xaW&T-;1NFEb_dqYCPk)*C%E2hxQpvC z$mh~n?2k}d#99Yzf>Z^7h7yrF=IrhLC@=5m-R8h1TmmSK1^9LSa z%rSA3V9_vKM})KcX0UQ4xrC9QAdeDaCG6`M@jicUklxs2NnN=DoUeOYR9~fqp~_21 z2!-mDx%g9=HG<}P_`TFEEKVTroXA;>dLGQExt=H-B1ijDe9<(Aa!p76UMN{@$eLS6 zpkHEsQMGol)*%=VMohqu%$0kh(WUbDy4JPeI(_tl=!`r!M1Mgaum@&koriT~8L|sJ zeHy!J|2I1r9g*F7QhVmySqt&v!1+xdq+hAS9;OpPSq~+S)%`&e&K#;58=CJw2(N0% z+(rcNm=<(Rc}1n5C5{L~$hR$flXhgylDk~EHbo)O|@?uaaP8SWd;?eSq)Z<4=P1PelB zq=8J$W5idxPhYW|8ChmBiYIxoxUgxGPL(}Cf1t(R?}IlRAvNb=*TRmLhAW%Gx|?6a1?IBxLpmL(=> znV^loEwRP8Oq7K>+89zQQL13#~-G;q)GOu=OX5|T5R?#>55w8Spwll z@bHoB3{RPQ`d>j=gscYtAJga0m0gl{6#s!8?kYT{?zw5Gxp^n&A;4h4#!8CJkSO>m zDZj~x9lw^?jvbJqa0YPjw?y9|hFo@y1*Jp#_Cd1|Vk5!MU=a3#aqso!J^T09d@j}c zV+)CAM+Xs(g^wvBBbTW7zPA03tx3O;Xc{U_CKU??-oAdF=6{EQk_!h1B^^7uHa`X1 zYvtp|+Mnc4vO$XT@uNtH0tQ6w;n!uRS_ywd==F2XBX$_KYD+wBAmgYu?Y z1B)drXJTTay}ca?D-mCWY?OV~hd_h@7PmFVE$HCTGP{I$J*)^2Ktv>t%SAxOevlf_ z)1f^QyIe!FU0!dC-sxIgZoob;Fc7-z1FQDT%uHza1{Yc)TbXl65r{D=rqug>U~VY|5gNZ1Acv&@5*8EB z{Sc@@#sPnW9k=)xWTr8#rz(c?KdkJ55f*B?S8 zV&-c!w4v|5SVH2yMbR73g?jq>*3bNT{%l9Y=###g(Q?NqS;HVnhyk&+;|H?g#Z@se zvC>d@Zs8RIIn?f6g~EEhc4@xQ!-nkQp{xGZziwG6y5bYou6fVUaF;QbrsLmgTgzIf zkivZESz0H^Gqpp{9MG_7&obHHQt=3x1t7G-E%9M(aoJ5PB10dMUx*<4`LkN+C@kKE ze%1IYZQRb!R=ds-me5isSO|1KB;Tb4PsZ_3q) zP%bisc&Q=^_r~N`H_R&?QXpiMsKAhvZI*Gbdb;&+DMBegHKz3rzI`k4g`#cjvCk*| zZ9TG%F@qr0BfiUNBCZmm6bZlmhU^19Jrft6g0xdqR%UK)wDwOXPC@6F}L;G;S z000O4wAhz{bou44Qd)`=z7AQ=5Cq2lrYgV!ajo^}(b03^nWk}>4tOCxd!f|9WRDf& z`|vk`r-5*T>*aRYCCmuo<28~kK|ZH%+IsQu;q$UT)EPMvFZGF(ex}(KYwo<|f*NZN z_$cxl&iU#;a8d2@w-jgR4_L9o^CBqB|o zdTa(no=6^k4_`lQCuomeoldRyn4r-xRBivq^M6`^?Y~}MpN~Nm!HWU#7s(NT@)y}PuE1{|`kimvw$O>&7{p^w){~K_TPOEzD_#!V9kw!BeX@@h zTxGWcih$b2p!9?^MEZCS$LIi-{<<6}_wX%}+0a7@v(lryB1Y10iU94i_iOnkhLI&#M2w1d>q?&aS9uSg2zl&W&5 zu<)N?iEu?ltC1b1QIyv*f^F&Z>({Y8&cM48)`}xD5bTFk zG123urPFv}y)Rsde8h!*&A~IQl|m9oX3Cz5+9nU9TWrX}62`0h9bPwGxAX8oScB+7 z`e!9q=NmUhR8s_u<$Q=#AEX6zhY{r6G7d{L^I``ox(a0x5pFK|=M}O|zm4t>c}>{= zwxh5Jztf*amH-(!xg~sExCkhYK^eKn{6DZQhDFpNg`v;|AkltyDfSStbaaKJJq7u{Fl$Xg&QX1}oh=@(%7m(iE zac3cpCE(PDM!A7-{hSeW!C`pVAHAVRre{=xxp{e&uWwUT z5^HK0;@7W~yOY&;#yhVln#91NUM9O6;)3Av;L0qCNXwv0?zSKET}uNX%y)>Wc#=|R zM4j}v()mBD8Y}DE>IS7|3ZmpI*n8*%X`jM2$2h3-k&G@O~D*R3{a z0n`&=MQCOyMJ;$qeskG%%Ni{ZFi+oEOL6Ylv4g{2rT8e;s>YruJ&HXTIKhG;r;4MC zC5SI6CEs?W_~aP}izR_U0i^5yLf`|mM+5zt@_n^ixWKOm21C zci&dl)N}+)ZC{(%z6PKiUSK#??zH!#yb@UKne=V(8M$CA&mmg@HrUiFDmLi`^S(;B z2ESkGz8vCyM5d6O9|`~v=VgRC&PxioELT@o^re~@3R|PQgbeC`2_t`RPmkd8mLg8` z%KnBHql)2LxcNb7dGRSIDKSkbdu{J8PZ#f)T!5D|FE0TVZ{DJ-ABC zA6nvjJFc)-Qr+Lh7>Wj*+bi`k#~2wR2yDV*XP%HF#4-OV+3@x?*dFF|bfhcSc7&!0 zm?48ml2INlYm|W>HK)%LQdQ502G>o^=JLYV<1~TX!cnRkcoWL^9WxDLuCsT8%c+Ws~l z?K)cU%cRri_TAf_)F;=SULFgxs?KNAEpWB|e?NDsRmV5PMdLC4$?)C-m8H0elyxpi z1lIxqh2w5r=1`u76Gf3vKc^yJXA|JOp&jUP9v&T)`o2)OY1NC?}jybnl^*`r1nJ zel!tR^AFtz|HMG=m7{&$>kh5~uZF=51%A+2eVBco+$j-{4|tI6WW&tu&Z*KjLj5Pl zFMo=sv(wzKx$+1rA*@gwS$PEnDTML_u7&z#}izP;XWNy7LWlujPN%WzEt8_N$* z7ARz$o4;dip*ASR1u!_VbJqcrqxR+rSe~F;5cxF~hDa>U>;5VwA&15z8&7VL@jkIv zB*8@Dc;gJsU1`NP8oAFr_^$tR=6EUX9Q4ggxgyH6py&%7N04gniQ*j)6#)byWXBL= z&*ZR7ye<17_!GdFF=V*@D({h7uKrd>xp`5kWl%w0KGIL&=IJV}IScd+CP<)nHmE5| z#_2ZX-;_#dJZREc@jKqq0>6YLk*dEWK_bln#sjFK zv8l$q$nPvF+LhXUOkclT>Nm1Y(N}BuOXj6qNcPOy+8PFWY{Jlqlr)1Q#lMYd?L+g# z&`>VzK58`)0=uA0;Rt-a;wE1}Yo}T;@T#ke=cZ<;di^L_>c$qlhT__$c}%aoEgn@? zm`mBeqmx&?5`^w=R{s&DcXU-zG>p?Xf_~9NGQK$(=xTFu3n}DnW-vgDro=Yy1H0r8a9hmQ4fvhdk&XQJ15cdK<0boIJM{!OoPAtfm}nMSVo#fRBD?IKc#3QY@W zpPnFDFOrlcskWGrLcWBGOVT!tj9)_J4LU=NC7zc{vH!L;ab3?9KRf!UyQ}L`o%PDs zN0wj1n0fOvbo}Uyeb%}t(0YFU45AdQ&PT;>M7Fz?J8p=9weo&vS;!B-kwU`<36OyW zT&?I1b{xjbhKI?reESxvUFmdBbfyeXpg=QDqOeZcC4tiP$xifF@;`- zOTT&5DX6@KsSxa;)eyq(&p7sk0I%R$leiX<_3s`TQp`}TGVjc-SXNs|flH})P zICx+d>2;6=EqIh{k0MdqYvPjjRO|9ZAJ>E*3rmU~TGFX(QkI-sO=aLwBj;}+w3`no z>14tmtf)KEs=-+?>{c~`m0?%B=l*D%n!6J_NrI6X*dKrrd{hx{(#9|~ihFH*T%gqx z4JDB7qd7gF`7e^!5FJ@DjN$^6&OvCSUJ7(IwfnUEJ={ugXFKc;Witi(CQz*E`?O^T zAYEQ$e!W#McIl*;CjeT8#3;2}@?V{r@Yc+p=kJ4GDhg^Ri zFrJlOq>p}wrGa?saTP@%Dh3w$29D#!uQnkisqY}>UcwmS>>QX72V&&b1w&$p=Kl0) z!B_p{eVy$#F&nNsSgb-USY1$rs1R6=NhTzu82B)#_qE#ZN%|F9T*(f~6RuRuWdpZr zqlE5Ly^wi{p6!q2joN{67A;wJ9(vDr2dt-~rKi^B7Ui~wIv>D(a2I395dkh@M?{Pga)5NVjcxtAcA+2vl zJFAxxZ?<**DC@=9sGG8aKiM^E-hD&LCW-bTkGJU|Vgnb6DLFDYMhEUDfm2zk#MG3~ zXp%x)@yLWc5k_{e#u0S?y6V4G%!h1a9x>Tu)VvND^LB-KrC@pG4$tv;dp0)INU`8|Qfum8#b2T`T~^zr#f z6y5?nWw*2hG+qqu4k7MU4p=yXd$)`&yy6`%l>#o9WNfPubud^@3=`R%0oS6Sq(}{9 z7!pkdl1uxjnOrNKT^JMdH46s54V6t|^8~^}N{3ep{&k?3lJ(P9EXKFkA;u7Ca`<08 z2~dp2CL1o=mXdFd~q--sNt{%SHE|7~ zNg`X#71ZUqGvd0#uXh)bO53(gDN2(`eEYo|ush!lrPkimEJH+IojeI9YIX@abAukh zR!*l+BfDYbE5wsNHC7MJvvpMsw$K#CA%E6NTE~rtee?M3D?;!v(VsLBw0Jo!|-a3gfHv0Oc;*3T%N8pYcSfBEr zRX6;XW-L+kwU3pME0bNrI65V?Y}2kEDF1=12mn(6BV;=w-??8W|5ge2lSVNUMP=o>d0_>^#I;R<%Y$jsZH zztunElcN5IK?#(jM;f$INh2gAEM8YElQt`7ukU{;xx?RCsX98|u5td4s7bbyD`#N+ zk<-axA9GwZqbE1Forl{>GWEfOuV24%oI8RVmgz-L!u*J|8sCHY+i{b{Ei8dnDc?({ z&TPmoYGz0KimHI`ur_uAqmG5ZIPh3ka08kvlCJk zXyEVz8+85qL(0mC7ErZEmq|x|KiplIS!!yAak5M>9&QH<5vx!-pt~0xmUVi9@>|yH zkMS0mh)W`b=A~xk7W?|Jly!pyEv2he8>-J=eN(QJ4aK)$SnuL5GL^JC@qBaH#dV(# zn5yYT%=miqes!gS`KPnYr6~S&@7xpTI62}tFmn#JIV)}`Y)}w;RJ4ATb`Y0H{zGGl zAO-kPkf4)$=R=J&=y^Vg-jxUOsz?^1zXo7UsKdWmM6@6U;jI(B+~x>Tvo3s7IEL}__r4JO z=FtGID2*AmgO4oFB4h-562)N~mZlkp|M=UD8uXY3iVJfGzIfHtn(oKlf*~R#*=~uL zB8p6#mrhC(5CdiVrj#%dc_?784&hn4re=81EJW}pVdZw&?L!yx2AzwBS3ag2gil`* zv1`*#Hwd(|^14YQ8L#be_(}O8DO{(tqJ%DgfGU1>(lUVKGG)5RgHTFh73gw`dTwO4 ziQu*iJ*0+!Zmd$Qa3tL3dJ!9ItzaRe-J-T8vpDG0~`1}x2=#`!=n z3<-dm;ofBk#pyZy>C<@S9%xz>6fOdd1G+OhI_G@=>YurQP(Mv*gUiZc8y->@iSj9; zO3_E2_D&qrP{8V~ADiG|x=O_`Kn%`$+L`&;njja~zAVY%lE{Up%0y<>a|H8QFO53v z4QjpUT^QN7Tw=IoyWwGgf|GT0az|h@69M(UZM{=KU!&OMM6K zE{m$?=Be&tHF}Ck@=LAeec%jjBFklM5zs}?&7sF0lshtgC#wO1Kp2ioVqm~zAfm6c z2|NK)7-k9FVI*1zFA;#GB_)%1*U@5K^!E{3IsMbh5BKb3w(H0F66-aHjcV;3N+HV1 z3_DKlX1HI;e*3r4-L1z>8=gE$UREIlUo`1X=CEZDLRiS9aP5xWV+<^ZyW|eEk+=S% zK=@0rVuC+2ezD@j#c50g7nhF(YYg&XSAHQD(<=NWdOk_9T}cuS;z!Ib*8doTVAAs` zN+qW2xTAH(Z%6|KYp#2!^(Q+N;(PC^8sv?*m@&%5qguFXmtNq=mBI z)C6m9tE_O~z?a2Uu&FrPP97z#H-*9P!^se8ATGOa9}2BYja28hw(u?|G(Bg0%jItnlqA&A-$-%j=Mf)%cYr^1N8)L^i+V-9LdTG(RAeNb z=oupKfuzF@(NJkFqYzQ?Z7^poLlcDva2Sekdvtwzvg82%bsbX-&o-hSRb}26x`~ty z_8jOeQm3G!Zty6D69Z~$x1mxHU3p_)1Z4Ff5Qu4o^zc-fIdG5b&4`BJwSXgJ)Djx8 z#7@Vm5yX*zk+Lc*kI zkP6Ap_+CDyk9bx5>c*s0KP>JKD)oC~1*RA-5Mv2P*{zPornbUcZ$h1;Qwo}a)X80T zc&_Yeu()Kw#;|-fry}3W5DbvTc4t}e!G%b5sr`ZkEz1V0x+EfIikZrS1-LuJWvy_} zN+*V%+IKkJpi*4Y$1+8%FfbKqtKeN=xq}E4$PMVN(}_!yHCEq1rt};fTi6UGg!h4S zu;xQE&7!jkr0orANiIbgEd*zUTgHZ24JL%d(vHRmw%X^_VS0qi^NsSHY47&%g?5{otMW55VTEQu21_5X3>(QjpozAzh-=;#AT2Hcvjo)WIs_bcIE1 zBc86@lNTZLk{98nd$Fig`yWFI)h(E967#95=mlQH#zp?N~lbdZu#_d2tzR!ZB|3D(FziqS zC#q$lCvh*;GH>_$ELanBajN#`+cQLAYx9JRKWbVBuKupNdKp&f)PP^8Zhw}g)GUea zmxyEj_UM8=)Qt6?$b=^T7gzrdUac$7Y&sy`>dAWXj@@})ei3nDa|^@Zm*)YPy_#N> zc~nrg@%46oN&LL(zlJE(D=5HT5Z<8=N$Q6d;(CH+u`hTs(5XFzAj3jSq9nn)r!E#AWrV(|J@8w9jDc?rfA%+I ziSVNkmLr1yBuZwkv>qJuY(AZP3@$==mgui}EQLB|=;xp}1Jw%75*$>XCkh5`*Y_^T zY`qCG6ZjF-K1Vp82TK5Wnxh0Y8Km!%TAm86ZSg z6XYR8Mo7t(uVjJKva_WmDN?qqtU?i?jO>}cDP@yUDXFYb%4+w$zdE1y z?~mWPo!hx}Zs*i>dA*+F@wh+k0~M6<(0Vi}g37t3>Byp9%8=am=i7TZeV^5uu{!wd z;`An_S67#FEj9}X)WZ_-9(-pvs;+I3Vre1C-~K1~SF`m~c1oEFTJ3M%aK_LS^*Er^ zq78721#wAx>v;jr2b%xnF9S1{j=SEsy|ymKeBMT8=Zld+uqZI8xZg)miis2;9EblQ z2~JKqSy=~bH;0DJ>A9cz@o@Z`*NeC~qu{*G05r;;u?u%3;RTqKU~>({T(d;A2J zv|utt4Ad`FjY1Lg_5POMA)?}o(CCnVA)=#Q3<6v^ITT+ql;2S7ADN~?Dif~{gS33Hn+^rr#v{PAdulA_7mEe*n2$ev4#*FIbAQ&KT@T5~`>6fb-ZuK-ZXn*s zZ{(%cmz)mZHbT6@)FQ`qk@4DS@V;w?^@(9!VRXPlmfc+^%8Ay}^4ISY0@1-aj*Sjp z-p@A4Ykp)e?DhTMn$|Z5-1|8?g--y$_xr=mBR{;)SNNFxj|)%_1Z_fqm*CX{X>7{E zFogI85V!>f0p{S(b)2DeXDlx<>koLXLBF9&DLfFFYOF~BMbW%r9~Sdcou4uFEE1kk z9pOv`N$4SSf4b-zL%b&tGK1Ei}jcz-eWT_HoyciUdzfTde}QGn-0E9{sb>2$T;b z+_Y$NFlr34{0_sM<4j_E*7^SB?fzwa@Zrs49Mk}gvyCuRVb>rSD3iO^AQv2>al)Px zE-NQ1U2tC0o}PhexAJE_7#PPK6ks2Z&W%998Qz9$d+0A7vrhlAr4G$|Ad%9ou#)h5 z{Iw>uq(oxFNAXQh{>vZ&G7B4yq%O+oWcrKk2)$YSuA+5xG0cIKMnrrP@2S1L9Td%u ziRw49YEo{9ZvdlG>9Za*+G7nqf1TLY-3>Ls2@JsIPI{BiZS` zO+gZu_<8Xrn5^RT5G;x@^mX!&PJ7kT1wBHyFtlVjwU(9Nhu z@>sh$pW+I2<*S1{?GJcD0jC9lpyUtq6IeUNMbBvo;;kKONEO&~OyjJId7RjOrwoN#akid>O3#p#Ymp8H|AA*;i21Hk z`$S204eTcZYJzICk&UFt#_}wj-?aA?HxB}Hqsl`x^(5ej{|_Jd;o> zO4DT=0H%Z7b5!)x3T)GNN;Kg|fCli=*dRm~>JXz;Mjak}xq$NeR{~>}>{9MB~_} zTy{k>NiWqW>vw;-1qUOd-bIdv8?IZ#YQXr(XK|0u1w>O6ekBDR6+bq#8Hp3e&nqPD zO6d4%ej7GlZZ;{;2vd}O;(Pw-BMsS{%QX*@_9k~HSX?7e+&7?60#}CFE8X{}OkX;I z85?Q_u7|QKC?1Ya73#MS>K!*Ns?nNuM~7$Qd3=YCEFH`J;aQ;p@nnNSJNJ)aeo6Yb zRd>BGK=}dp>C|@X*@|i=YmbdIJe2 zV@Vt?s;gB!zgKg~w2CQu?qTWI{{9^M`+Ds6=F!Vr1JMh4At1@(?~malDqmV5 zQX2kNIZSF_YjL@NA)v#Fi>KVAON!-iMdR^i-CKI|Ld6(uavOObm^+Y0R&0F0_sah& zqu~*r^%Ad6I6e=n)pIwd*$Qgs^=$4?w+q^zY1a)_-tXAo!@v}!z2vBgx2=rrIxFX=tb zj7UB~x#s;}S~(FgQ4xhkE<^I_%xc5m-^U`YLa&@)lj2q);&l-|yl(cSxBTFYyI^*^ zd2{Zz%PD}WSz5>~&rH;h-U9p!spKvRDY?V{TppsH1Pp9t45K&5iaU~~w>RT2#LsfS zedg+}M2i^3ee;nmElHscq9-1Fz4-Xf_+A-Bu@e6m#)$H@CtgMgE-RYltIhcdhdd{;!R4yv)WbfPkWzy{)^6X_2H4LP7}}K(0Trt^7%7GT>S)DjLjlbq?|7O+YM+)LgX2a<{OitXIa!T@A zd-NBH_5m{d8UO>b-HP{*JyZeP@89FxvcDcAbLe#*W#_-F_2Z9yzE{TCpP6bIske4W zjt4;(O{9bltpIk{+R>5)7uGBJ8WMIvL-f|`Z*yzFg!rR}GHc_!$2!_IEmGAk6o7w< zn}#m#Q>iUa)X|@z}b6 zrh-iW-KT)movBtY?LY6p1fdAd#LQD~h;#-kCnwB(Sk|vEL@YUT5F@i`zkOZGuoHMD zdM|4pbd>x;N!-tNCku@?lq6fJ@mr881H+O(fH%&JkK_qt@I~fRvKz^10K6vP8J+4$ zw?}+oHRps_?Yff7BDzlV*9~(8Y5SXY{y2zJ94*G*v@vtHr`rgl1jyZ%P}__l-Gg{d zQ(p9+1TwBpK0EKIup7%5gMBA?lMh9kXM}Y*;&#hDp^r2&YSWD|bnO!hBpVrxM?T$S z4;~#9_oxUT=aDtw(hQr)sYOGU{3|<@rtV%az}83QrhM%kUXswsN!fefBYLK0o#fds z?;t<2qdyxGc#kTr&zW;cCj4)zDf^ZIxwPw>G*3(qCT` zCzy}%n(DnmL($%iv2h;NcbhU#UvK%6f9`7T_(7tRD1a9VvU*?UjnJA6!@vVYdRN_sX7}z2>+jz7JFm1m-C5yT`LOv1rV>6`H0qz7OJ=4<;*B^Iq z73~x};jqeO9UAhF#{fej6cZAGxg1Am@GeK!eLGxC`*C{hha9)y`@y9qoB6Dnlc3khzF4-HYOH4D^3SyY`A_8K42b^BXeH5VnCq#|H#NY+p|_hvN6?@|z=>=dvsdq?rW{r7Hyg(gkX zkDA2K5uHq(cLk?=u1Iu{!0nE_RQo=V(*W^+K*unjD^d<1BYq0}BhZM!z=TS*sibJ; zPN>|4?!8mlIVQP-25<LE`{OwG}Q!qKZ$-D)=t zvJW<$s=BIP>fhM{0RZ7*_n|$8IHH@GB_Bi)@`h!vePojHmNSzNZW{cU1sY`W=W7Dd zeF1E7`P~PsBe~1Y$ml8xrm_4!Nj}kVU6(`UCK>AE3`sDe|MBxD=v3xp&oxgEoUKsa z#CDopY(*!QZc88(_-GA)gCd7vMy_i=5F#K}f#kwrRbQW`}GtYV#DAAg%*0uZPGF@aoU-s+o z$>cwl3+#8UBN5FM2Q0$SzGWns{{T#J4-st{$7ayj6N&JQLU51HvQ1H`TF8;viH}g7-tgT&S#|1X|(UE7?p7z5DS?My@ zHz!_(5v~y#hMqJ9dbi{8izZr|06xB5UxtXtH>asXy&6`|LwS7{F?dA=3-W6vHaxV2 z+I``Pn^JOb5ER0Vu$Vgd@YSftD;FZ|9m=QrZ*7u93N0k0xH^6k`GnHa?4g`+fS0K*zf@J9--dC+^k_5?90iAh_>4EXhYI z&Y|~OttYAqBGnE!rq8b@K7>0mLS%?~a(u5%D3)+qeAThsne9|DGl$A`ZWeDHU9>&< zIV>DPu5Yg~u6YetH*;1`=5(X>!`)$-j+>H3P(mT!b6{$58waC;T@abpPHPwzJTOga zoqX`91$#IHx|6p0t962V#a$bnRU5oNFnvfgzMwtR#q}x6^@^EhHKU+z?BFdNwNYAc zSgyNs%Za!D`ZaxUzY@IK{%??hq?&=vMhT{FPnU-+&Rv~^br?3ZqeeR*Ak8hKkTnqK z4AA>rV!;3oHQ16MGLw^A@Us4@a_-n^k5qNrr~dNNL1(SD2VSmw1H*sEM9^2f>Ue24 zgn89rQfXuamhmQg1D&-v1uKL!bYR`xhVY(`%hmD;^f{k$a+r>2cl7V;R(v0U!6%W{ z2q+kiMk=(d(TqZ%LZFe-JW#rXca@1eCb@f+7&H+^NQ8UYYhWQTftz`+dhaulhxc~f z{>mlwuTJH((vliFU`4!Bf$a)z`Y@hmCy#P3YP0Y%}Ns z=ml~8m*S|aXQ2J!F?ID@{=Nl&*cNEKYuRNPK1OscA2)Gg@p!HgB<*|6`L*LKgU)s* zi&S!k(mDfXg`EA{BPl}hm0|}=HBRcvz3cRKRs8iaw@`!gik$cbtMHvaj-}4eI?irp zP}37yc+zR`lE(YZ_m|FOL?nZ=>kT@aUCo&&g@N8vTZK+;`IV<;0uoQVd;8 zGW+oi5XVvlwX(p~r9QZTK^F!<*9?z}RbK7X0#>6ZUEw=}lp20hS9gqgO^_rlnV5`SwiFFhp|vV{XApg!ynNBDaHSh}e~lDYv0!K>dg8 zyneYZIP7=X!7K`8{?wve1Y5F6`{8X4I?Mq*f}hsRaGf+g-v%ZqE`(*=1R^(|$~zC; z#aT>jyqD$9uf9*kiv0etV}I3Ke`ez3IBD()km#PrOGkiOReyfWzVZ(89Dn81Ca3S9 z*IpqMT^@S%K!QwK5oPUr<=70hF*jDujW~GU5*zQ+rG_im#eWyp|6KsM9EHSFR#sRS ze!mH;G@gcUT6gtBwP%l=rg^^C&!wu%V&luYXswKf=sPUDCMz}+*0t)Q)cC#iF@gQ4 z<)fag{kyU3zWfz91CM?+PUPm-%__cVLutL2E=h0vZh3i`T2bJ^o$Ymy1Sa|>NzDaM zo;2n>dC#C4)3mz7YIhpzLf>Rf-(V3iEt6cs&wsa9lXJFyO~kU0-kPy}I;WuinSWK$ zlVm~U79lbFM(H01yeGpTUui?w!-Lx()>bWK5-S2{(`7I949j(-jWJJc-qKvs2wnd> zm394kPUz%Jz_rR603`#ZjRrj69o^hGRC8iQnzA@d^}y#Z9Llq70rpKuz^&h8$;&N0 za>LM)D5E!Te*Sm;7)3mKCnyQu6S=GBxYFdP%-K}OFK5}eTyChF+V{EmhY%j_F5@3u zS1(`whCM_i2iHg`1|SzD$;u@^{+$<@%S~=5Toqzww3Ao9J^8zV+*0z1 zK6C%aw+j4yWlVR@pAK~H4inMEas?YIMn@{i+EYc~@@cg*n;re$9$(U0Yc$08DiA){ zti#fg^t&4Q$QmYk=XbkP3Si~Q%fKz-s#YqN|IFq*U;KqMQKnH>dC$}VtN7X2_U)&>qE!M&csX{);BwQk@D+w}ay9H;O&5n*g4ZDID? z_R!@K-Yr?^Q(-`JL{26Dgcy8Bj`yWI@{5#zgYIFh=gcZ+GsDZefb*Y7b?TUP)?cLG zrt9B?Uq!au=BcI>ms9)X=KYy>`_l8O_?ytHN1F!?sW_TB^-Hlh$4Jj^w{~VM(Yo|w zTdB*tOz9GabqBTt?&v)?^(>U#FqcLkD(l!olw^@w2Y>$f0nr=Sa>d3rkIw!hZy+5E zpR?vbr%pwhK80c3x;x2S3iB}&uWd5?RyzFeWImj&HVTxRx;0&WHs8Q;`HPKXJzbuP zCHDd=eGN3f!JosehtLXWq`_hMd*%;e zy(cs7$2w@WT3~eYkNk(m#3bKD3u#BC+wXnf1#w5x@iVNy7o`=5s#WP0NpY;-&ou-o(SGzzh!dMRBD^=AVYxE933fQ*R zG&i4Pb6%)Xyt{%AyE?D0-;P!WwWpT3ntp$7us#)KHQTaH7g9d>2*3Z*TWGAFy#v$k z1p^X8K(>5QW32L7VI(y5!m2JA=XHCQXC+Yt^prBKScPG5J zrR3?)VXWOX`C#0Ym#sHX;z%kP^k<2avkTOlwlEI<2k|_NHM9$odm7h+JZh-=nXj^o z=_F1ymiEtB(5h>$85<3mM%*pe$Hv(Br=n76*Q?D1kD}1gKAOM?cxde7KAn?(?{s!2 zFjspX?*l}D1%jk|E+(`dX3VTn{ruL^C3f^Kxwm@{lXmA*P=}Y9jL*uN?mnp^z+)wn zk3HhpD+bkuc>d;MK|7bjV!9k>eq>rdu0ForI)-xO^gcE5070G4>dZ0a-@Q#@A~M@L zf9z68pZ!57+^bEv4AIIXN(RxJa?o&@+A(iwA@Zf*&Ya= zu9AozL<(r=An=Zt3-b?G!9=Rixdd?{xf;f4FQk;q4NNz((cFC~O!Bp(XWtCFGJbdhET$&{vLqgkP`c-5vL5QO;0l-WnXFmlP?!}B6SgdSCf5ZI z!6{T4+XKBZ+J@E0EK2a^D~2R%Jt?=qkjSymg_K-_tee^@NUHCCOnw%#^`PJ(RTY(p za}g5}BD$`jsZnZsGSTdba=mqi`FDr4z6(emOZSX#g!j&_tj?h z#>k~8CalxSH2bU{k0~@9@QZ0*ST)Y<<=qEd%P=>P6up!7hNl*2OT6x}8k_X&2Z$yNtISIoL=NYO-`i zT?ff7>IPni^)2Yw>Ti?$s(O{1L2$Y~lI5F$|Mge%xV_SbkDaDk{W4`%df)EZAm_<5l z?s=W(JM#X`QU+!fH~-wZ9A$e=(J3xtt+v(9xKoD*%A9z`%%)HN2;sim`{P%zg6yrx zCrneXCtuv%H}J!`v=)Ol2}wzkzk9SD0p4qMGFYNVfh|FKE|5ZD1Jbfix z&saC)q2`-$Pb8z)H9i~cyZQ(ghRZv*2ExAlHc#l@>sg=pRiZj@(ITV$uc$~|z_PswlIE)Z2{T2->qUY-0P z7dts5qvS?A`b{t|Ue3)8o=?3bXyr^1(M75?F3T95)P8eS!nQj9uIYh`@b=h95r z*;AWB2fr+A)@9BcZ2T7aKt9_@iL`5Im_79{H6Wn)WdZ~1z%RPonY8tf6z?02gbW2Y zX@i>UrGg&#yhyu@&F*{+(s{*AP#+D*N$2{Z667_9uF@7?7tDM7D`L|m_V9;l!fm*~ z(FER7rFN`IH-%kFoQHQSRw8&=>060uVjk9k;@emC0&{Et#Q4fq(muUVV%Mnh7YwHv z<_MWi)mKm4>-|k?Xw3n#a(|>@TJN+=#4D ztc2E#QRr;NMm%PnbND|~e{X%Cy>EmT6NN5DNfBNDHsfOB4~h{(YFp0>7g5#oOH^WP zUjS81Ho#qo1L2wvdI%pMpMPB9|NQOI_$^&lsXZ7b*iP$^Zxpg^+-T%3H=a@JHF&mZ z^tfNzzZQk6)wxYwr`5bRnhgupNN-}3)w>}ae@T99*KNxqsK%e@o9yzPGgrD%VO>{d zB3VW9@BFtz&wyj|6FA&q=GJ7eCym#!sC#X!zFv3iVUbE<$Ao|Mx>Xx?De+}5vrZB_ zjn8)JF3j5K)T2|Z%(25{*GYd)LX-T7wSKR-yX1bo(s!2y>NUv76Gm48O6r zr`t=oc<(q0VmN^sr(@Bi@8aeatxzgcMCXURGEM_^yxn|2nSvp#m=sU<-G{NgSZA}5 z(Q9Pa;YCNMTsK(dOX4;e4?EY*RIHoJZS}vek+wNsBe0M`+peGTZ88u2!)@#0GuB5) zjMrNNqoMQZpBAh|uRs2|o1sO@a;u#b?}ytGw0o^IFPF-ktf&G}&~lQ=zl@PMtu%Ke zb^QUWEb_^FvK8zZ?UOHVpsZ>~PpBQp<+hs&Qqs_*xhG_>a+vw;-$P}*8~%F`Y5M>7 z4LSjyPFxJmc;{kUKk_Qhzh_zv^v}>9|WYTUVsND^Q`OT%hob=9P6* zi64F*RgpURJQ8zY{0Rxf-3KPGE7%Sd) zfyJ2HploHCcSZ#-(b3zdE;n{0ErwE0-z506!6d)GYndgL-9t{iV~s=h`_-S+M{;1L zyeli*5lDK~&ANTQ%-dQy)l@y2`tRX~!1DxD514eJnj=Y|U(+#SFQwn)FK9-aIKnyE zmU-7;heX)74RjY2H<5*`P1n1q_a374zs>zzjD+j6#lMV+=F&Fxv$|c-;NG@e*hPXF z;rhi~V~NLe4wB(ft}ag%lEg$rJQ!_xN5`(k}WaBA|6I~ubAd@ z{x~jv#|dYO!{{B`4o=d0|UYa9-_@Y*0~9i0_!Np@RIqa6B=m`BF5=e?bEW%$m-T zyxzIXpI8m(9_kIzo)3F@pQ28to8jA#Wz^njrfXa(tRr89DC}&y#>&v&y}jf|CR8?1 z{2SMF1l3ycS~7iqRJcR--r0LSJM8LMy*$snwh!{h9cuD#Rj7j1gp!ItEC3NhZ5>E< zIu3Sr7`M2A@_ZSlBI}MDk?GQ0RE)KCZKw=Y%~y|Xt7Bj~MUJ4HdGGxHJ(eLc&2LVY z82p*5T9l@X9ug!As&q1KQsZQMaMG`#FegVM*9|Y`+uKE#lJr@nrGs3hT)b4vZYE!R zmC5wiN7(%Z+mB^~KT>hLa9BN~u^%Znpyq>;3y&jZg{>t2Xh1NK>7Ec{b}FmXRC9bz z1n#~0(|mtpOURS=iJ5U7w$*(`qSM#*Jl+_1s*>~HvRSd+X%a+E&vC+7adw9L}^yy-q!j}q20o_gtg!&n0p zZ6LZw`sv{ic#N*Xw$CPO0Og&WK9p708t%RDOuD{i-Ds)(r2ij3x}9|d=s<3*mpGam zT`?Bd+IbZa>%WPfQLa(ssb~I8Z(&T1?g?o{b`%?Gq^2+mIsO|TtKZm33%8o%-fWQ~ zy*g&u8tdD($9@}f?@ZZWSIgYOiPvLp9!fI{Nk$ zz?H@Ca{6$L3{Y{$F5~8(Zt7yXp$d#2(^zR`$=lp!!w9#54Cr<;kCisuXBw}Ha9DYoOJQ=n zctfgJ!$)FI;4YF0>lyYo8tf09wWujnYW~J-{h?@!5jkWkU=>YWGZ$YIzp?DdcxX~a(EzcWf{A7nx{mf<*ItLlO^$G=cjK`gx(Ei zp9%hCGxe&~+{h^8mxf9rAAtlwG&hFemSPq8W|{%HraZa;_4wcHU}YYT`yNlbRra29 z$n}NIPfaEI^2oQuN!Dw+nEX3K9TTey0^%LMzzU9~rPm(6_~D;#v0*NxVD@>U+>V6a z;j(M5@(xUD#80en_5e6TTg(#B&60gEO^kk-5l3?yv0iyDRes_N2J*4DAQHrse2Od! zs4uP(8~bUc#G5~{X_K+CGXsc?CdydApXY4N~lP2r{z zsgoicckbRr{8N=FThiGTUZ5gs8<-|k2@do#O z;j=G2>JV)E&Pg^_L|uIsS;*!Qttm~Jf?w7{jBTIg3Ac{B`s%Ce6H7C#_)3e^ZL?=U zeD)UndZ-U70+w8Da33wMj@fFGw8Wfcl;D{nhU4T1TiwM(4)S;j+aLSkT@Q@DW8&L( z7Zw=U0dk&NEZ!pyJw>ma3((@OLs9U=UbD`$6X>k>1xo9=5)He~Fo_O5i(~Q~aog$z z{YTJkgiHhV2T{J|3-}Y0Ui@61C%M|>x`ry&Rr;VW)s3CJy1mwJ*502URkx+Qi3(>o z^D~>>^cohN1L-Im_90J@X0m+iM=`Hj1XV?DRrd;D`{cf1zkN_AG5QQ^6MjOHxSi!! zvi#!A1~$!4rL@b>l#D$DCYVa@qCyH`J9|}&9Pg`g+gXUIAe~4+gEpJt$%Q(ua{h(R z4Z?Khf%R_TTbhTEz4eS~N&jXF;IfuBP|(7%U8^l3W=%3O2-TK9d8Ta3+qSU3%d ziJC-b1bj}{3MhXbL*J(~J@lf2vu>O8r>;lP7D5fa5cgTfzsXYOPUnPM+@T<<U21+PDNORU8z2;?)@jw5@6j(+I51nw8dh{=s^&(!e9aXBV;Z7o)_U6J zXubZ02__Bab`()(Rv5;E7xrkkuoG90Z)~^b+}@2{$H(6gortBo`}3(q7)@YOC8PWq z=3ux3!SPH?Z0_gUw-&x~=O}M|&)wvfSqxpdtl}LWTh5RhK{xvfK1#z zj-EKT`|_4paC{JSGQN#$4qPG~ZWb0>P#Ib#Zud^tI$Ht)rzWqGF)NFDyzDo1oJ!*? zyj(Ci=qoIxNEugezcaW=(GJb0l2WJq0PR}!dt)Z&utyEIOLWY6Y^?sHIf7pB>-XB8 zsngUV4I?9Vue*xL-N?YwNw#{yUZ$T-p1;h?Ox)L`5<^P?akqQiy0JK+Z?w1tu4Gt_ zI&A~$dXMo`{u0ao3Ljt=8!lEnDx5lXxE`YSGV+VOUgoX1`esP~zM)lM!7P}fQfn(Y zN3O0vV(c&qVguUDtbv^!CCDf#!o`*=+bC;f#JyLXPkplOWoycWr_jN`8ax;FlHSCb zWAak}3bb}%L#{R{mY54boqz}taTxSw!+Q<-FiZaV8(`U)M7|OU1inu$es_?2w(3JO z!v$$_tp-s;yzy3DueTPgh=-!w|G#fI!&F_s^M zmel3=RUff<@#TZ}|5aP05{E{VM7!N&=sx5*B*u5yRVBrNKK9eQp189H5%&6`=2Bs% zBlt276fYWw5|A3Nl+vyfzRj&jyg^o{h^}Yz6=U_7QpDS9k`?~#j2RkmdH8QcMnyq8 zWtSwZ8~bX0#ROi7*+m2bXdNiAu>1y!kapj7|!3~~O1B*57 zAd0EeD5lOR-xiFkMBgZ94?3ts_{B2DUykwS&jpCZuG3?A<6$vNcHayC_I%2;T<{gn zE7b${&gXI`bPSG-SriUK(n>cf?=KMot&Ha&@DPa}y;sAa;C^CsTA;2V8?E6E-^sNB z;`{4((8zkNCr~;;W;_MBtl>^LqrkkaK{Qqbf^;xIKfPWgKR6j<%crvKeY$b9Wb^C1 z-gKMh#JFvf{~ZrAe3u=$zpmWnj-N6kBY@M6XS6G9U?y_=M`<<>bcTGB^01T6 z&U93YS}u39f=k+pxJsBcJ%QWETc8zsFX*XjTl>$??S9ul$hoT^RFF^N`zi^pEWlCxt)! zA1dWnLlIheN=>`+3f@s;F{r^u9yN~;xDaZ`-n@~!Fqe30Ls|?(-Alj^pZ1C`9hbP= z&GaEdH?}on7wa?b2dj+^f_Pox{Kt&s^k0E=gBqoB^~r%~+i=7TZ-|}HK4E0kl;(D> zy!k521@#tV=3OHH_gcv6x#W&rx(j!?^#?3(){t<$K$+FCcqo>x_#5P&laJXSY`!c{ zkd5CI3zrqHtI!PWq56d?{S4%0!bd+rO(aN?QI5{}3Kc_2W=CPr>tf2=L>GCWbsm#I2$1K9~h-h1}c|)hrZU#gnfrS2J-5hR~`dE zmVptfx~K64A&$?1?Um9A;tRcBaJ{u>z+EnE3)D3z%lUB3@p@XN!Ept_a~ z(T~NHX%An_&gk4@Pp?+xzr;Ym^n0EBR*j=={Tvg)XH+^2uL6rBul5R)O57iH7qt$j zT{%kCJ`9$D4keOufUZWCXMXkH1K6kboc43EpbGo(+~_+s9GA?bCFORdTzPrO$EQJ} z!)CilS1ep_Lk=A|d{|0Vo^~$Liv4f=$(yL|G0PMZ;bn0fTc^9f!Jnr(H9-?70x-!X zIt}l5@&kI%=HBn4v++Ft>)Ux_gQeBg(y>bcf^}V`J*uxBCipM=769Z)?s};fEAmNy zZibhxlj>MX2r}qqSS_RWmUOaHFi8e$vS9X6I~CYNVkQK%^~%*;T43?umm9+GWImNS zp}+Mj>~!!G+k2P?x`E8N>&KV|-yTqHDxV?~?)k-JQm;*rvB@^Zlu`}*naza^k09}A z^Nb1hxs2grxW^v#=pmq0!b;GF#T^1(ROu|Nb29B>BbOFZjMftUh0KnybXUi64Lf(X z(whpF&i^}2$yDO8q2dha-_tB?(9Lwmkpg2{C}2AlVHI}U+A5d(Ra3>&Fv0oRr=3&7 z=6=IxELyXmzxo&Md}7-g9!HOTv zMEi`pwVq_Nlih}b7a`whRyYg}>+Xd6$9GfX|H-#N;{U{lOy`aXj$Z}AA&*hI7qRjB zkI-u!eJk7}V;{7=`=l7R`O`l+IsVm<&~85R!9v(Qz;!VS-%uy2snVD%%=Hf6vdZ>k zu8|X!F0jC(?J2m=NT32;xI|?cQE5mQmDfkSo62|~r*R5Dm8munat(s{jQd8;a-Nb>k@BRp3;wB~eewAvibv_U8Nq%H>9HE&Ltq-;t3t;`D2q#JP`o-yrRJ62LlG<{SF!L4Ak_Oqg4%}Hr5|A z>>nYWa^UXwSe0alloJ%Iq%Jp}c=&usaJ|3FZ5`SX6%}=#TFm~B8jZ$cM`Ul}MPZS= z-jAOC6@@#}DQoYinieYuTTO3x`)ab#)$*!LHrMO`}8K6)6-Lxe{<94k`siZzU$4Z`irM}mz&3l3#)2z>ylo?NRW z)*Osp$_vgtzz+WY9{XE|gelJ`HX$23U7E+?T~8>nB8od#oh&umDWDhuAtC>})c0X_ zc|Av+*}5S6rid=(b^lv46CXY5*Uy2SQD$XK#c@>h`S?SnA~ez(FZBe9=)&s&FXEhQ z{FYoCtU9v(I{U1dG2y-C&CAbkU3*<#AnL%UAXMFic>VF`)kT30m0nXH43yNXn%57= zEpO*{Z_nFbF3|JiS@`YU9Ll3LJN>T_N6>#$@uYai#OMI3Slrj|D%lCh?u~wHooJ_e zuY&UQB$rlF)6}A4;&zks+<|K{9l`Ziw7b_H;hKePG@Jy!z7G)t8f+E)f_7T?M3Xj+ z*3tjEF*}q{7h_EFA1l7=m7-}L{L~o)hdWAc(LBjx7dpmhb2PN5B8+uf3=W82SPl!{ zn(lF^<^}xCSBn-${>avcm1&FsXx#f)s1;Rh*3`eS^@j} zY%DDJ4=qxdCL&tP!<-s_JvbQL@};G+xAddrFgzV(FTX#&=fDL@rO&mgAoKNFkzQ%0 z)J?2^?qiaz7voiDa8v8;NRD=*Md{XoM;p}cbu(CQ0OPL4>mwV=@fmgzU9hzcvSi65 z7FO22Cuxxn;&APS@5_Mz3`-%6TLaV+(G6(hNOY~AHG(CQ(V}5gQegV@iiFNEHWk{& z6JqMzP55ocJ2#wnqQ;{)1LL&Hln}nOGzsSy;U<1`uoI$+0Y}ltZQCX+;%$wY8Jz*k z<_*v0!rJmuBbRq{l-$ViyEvNX{%Gn~Nt`%k@Mz(1Q)JnJI`eaHp7$F`rW=dZYfMUa z?LS+<`D#J%s$KZZ%^Myn_o?b$n~aQL0DW<5fMX&-FbhT6Fu}*004usYg17aQki#|t z61X?^d04LN^Xh$v8C`G)e^nLxXn%&Wh}y$rQR%Z@;n8vqCiq<_r_S!#)cc7)Fd7oX zfWeU%Pv5TttH_^$7mytE=%*U!OWGx?r^v8y(?!04n4E3U3Ktx~Cq06Tl zT&{JU4Y@B^0&Dg#w0a9(R;he>vR5%Worve+syyDxHBMsf@x0HS!YXH30=L* zqwSq@B%3hNbLZlQf901S%U#~P(4(v>_7f|~F=3qmbbj~;=&~n_UZW5m!vP{$J)kDX zPc#asYSO~=?4RtFj1>X16b1IVznP92J&mI*(QEY0n7K$wh{w9~BJ}M&*hTIhw2bbi z&1e+S{Wv@Oe%}V0hrWj}1&z*xyZkA-RBkO;8RO5$Ip%dO-4&W$!V2bv{XKmV4y=Vr z99nHF_#`1Zf82$T{6t(uSoW^xa*y0aBboeF8r?&LH>87Gsi)VNrQuE#}*P67RD4K}! z9poG`y%T(JcmG$)I`@;h0M3 zz^24TnsIi5_E~0PwfH^gm{i~;&MTspqKQ;L-*$+>oPYNay?|MI>2Y_B_RW_@zrbbd zqI<+IYI;)Ims^wD3%a&H_Uess$-3~AH`h7sNluQ!Mt-=awbF#?mopUyvbFV~YQU+9 z9JDSw$NMsoz|i6O50|psL1TkBZY>OiUQQ=4$QK zCI6Sq5kkU?i{5;b$X8LH$)@>b?+w6__BSkRV%fDSoe=7m%^G-)-}~@Eo5KfwFmEzs z9hf_v_jjn?B&bs}FGRnSY3ZCS%hr267ovJ_jUgTupcV%Em7hC$dyyC-%W@jo9Mt88 zviDrcnH#Kba_gjy|9P6sGaxta<*>Ds*7)Yh#0jQbZxRP@$=Tm=e|oFagsW_?^MmoM z(S1t&>{4IDJ6j;Q17G$Yy9P|w>LGpCTXP%S`6E&YQqg<&QORTLN9Ol6cHv`L+zWrClpoaX0|CQ zYxPXH5$a&e`;7hUsY+GpqDx_~*~(n`;&v}8OBvbu3;@gaV553i+iKCRl4 z;V&o4Kyt&F4|2`*2T(e#emf(|c;Qh5+7Cyljg0OtJ;>j*T3}@fMpKXm98WHFF$Y-@(>elfpV{uL zNrxiwK?v&jX_c{Gn^20+*e=AF8ZKD##TsN0C2KO-4fb=*iL4`)=ihHjFfGAA__}~s z_HWx)&V_Xz=oR4rcEsn$z|dRfD}u%rxr4X4dtH^1F%UVXU3r_kdK1U9yiq73ht3hL z*acqhoOtPwj{pEkLwP-uET(w{d~-; zUvK>ncM`daUT2Pj=yud-P)`5UZEk1IE1$IeCf5`dzSURukjSNod)!T*trobU%_xKb zwlDR3EmA;$gfydjnQjB_yJOoU$?qjy_MVb8Sz<|e{Jgv+%DVf3dUWr(8Fd~X)(1Sr zV^0{ZI+0Rzg!COcofqT+em*`=Lf8gK2%5@!=PtbP!1DklCW#RH;DJ~>m-f@l#Z7P_{ho3x3w!+klscX9wk=pm$6R7PD2Kdr_K&=-*g(i23AyO&`Da<2j5p#vqKw z$j?LON5{lh!l%Wp%KPu{)h+w4)hfSt;ko@s!%I0SbL(hZu!yb{Lu8#fzeBGW;p%nK zYzOlT`JuO#f{%1Ah7Zg=Eb9`8w6_Z^j2!SU8S%9YL70{G>?;t5NuW}*@YaGX1chyK1^lI{A| zO>D4JM!uj|UH#!tU-5Q`>*6RcAK%Oys@*ntM_o_ce)0?bkGv7#M+YQ>SGuUh@$^68 zne{#D@3$ycr&h1SrH5Pp4hTN7qmE`rYn@J<#G=zC!O`r(;*mY)-u%LAxdyWAeC>0| zYhS`4eA)p8aV?UKU@rY?+>Z&NNWGY)a50{rf6guf531~cf(WHl`vlDJ=e`;81h$MLi@LWpVJ>!R&6 z{|>&}#1hEmn8`f7L41K^z9(AXKAu0mkQp4HcPGsD9o*9PvAo02Q@;~$dpy;=kjTJ= z82$a1ktMO595ENmt(R@|jf`%$^qw8@W(?8*Ps?yk()p$jM8FaWfe`fiN3IAc8}uO` zXWX}rnl?YHB_&>N!WzH!T>|Y^g&yh}_!1KylsH`=0x=~Pn3;Q@(MhwmD~9cEPYQqo zvwkOTnb^H&O$?84#;TpV04J>6g6cy?g9imXTQ^kPjik|Pq5SjrcN&oUr_6;x%2OK- zE@mN-WCOhHrzM-1f&h7fr|nXGwsM@V_ElvVYw8)5kkry;5`E0{lFYe1ehb$lecj zJ54w2=6lSVd$;ySP($8;vqbvNZfeXh@bv)Dl^_GUva(G&kE3~t-|1KB8l*spy?Q}L zC1yOzhUlD}A>L!zXb#!NPQ|QL?0xK*EALM11HZF4my!JP8dUKH*M7h`Lv87+IXL&L zed}Orl{G}!%RWC*_xKM7JsbP1I!guOToyzWAM*Y(n5BX09dd9@LQ-Zo7Z(`4oG)!D zn1^k981|?*sNQXVGhKp%VEC%Ty;jP91|sEUT=X=#<+>ks0nqEd-{`Jv<>T&yxSA|MeZwi93C@0$*kJC_Hv}aAcqpa@(Y|K&R<}6N zkBu$guN%BB=VKqOM^6?n!DC ztqv<#ZqD!Qf7j>`7#IkD4YAWaQEH2kim;uWBsqbwbIARuI)?e!!1upAwA*@<9VW{J z>l+vzT{+f<$y`k}DX((z9vGP;vIJ0!?oEGt6>S4KdA}{gMxuBOu zLTtPip_}gun}yQ{LGUJIG|N1>qM=LKq=H<~-t8|U&Trcc+fT>U+R;r!^aReH|M zMXHheyUJrT2Jelu(e;&C!CNqz1E&G$&>){|xa8SoBe1z~Vy9;nZPe%dj=dzlOHG)*@Ki+f zeE+!c!MDwn?9b50up<9dbx~P(P)e4x%&R{uu{YtU&tmxQgY@jddoECN9Iv+;&U?Y? z5}^5a(E1Oe)0+{{0G3g?NLc^9st;=+q59rVr;Z)+3FvY+Dl03qX$y#A=6dDqX>_0B zaHCch!UPx!`Yv=eN>g*;_G-%bVRy#y#PX3cD=tGT$>$ieXy3};Nx1hp?i>iUmKP^X z_WkJEQgQCA|2YKh_>XYp@!Lm1NTE@EliiEGNmBIdD?t!L+-2P|9hLSv-O5xsee~F| zd)$wsSBu`+5Odj1owBOA6z&Q}*0D-}$Q+IHrD-*veD}5N6ON{0Jlx`B`-Y)sm$ayc zsDP#d?ga>)me62zY!shEhNVkD!cnGI@XQZS#HzYa9_-?N34fm1dZ*J)C*3dnE5JT| z`b54^fKE#zr-Y|4dI?qMwQc+Ma&yD*{6JBS56w-7K&8FEhAkETjYlAlJ!)T~a?z&i z-i4NDi{nP84}>Gz3kE|qTp=Iiv9|m6?Zfc}JtR8Cq2rgx1H0Y@q(qU8dwspwD3oz;EYHm2Fy7`P&?`V2pcNW`d z*N)R<1Nb;~H`!xK@i8)KO z3R;!P89u74JTzSaFser^=FQ2kvVclHw6f?D;i4au%^K53&sQggfCFIu55W8ubx%J- zubfyM>>Bzw&%GjiG!nO0~MD;P4rdnM2iedZ?0?c1HS+2>)d6td{elK#V+j`6yRxikBF@D4odYWkgjNT#5AsOYNWe1YMo7Cepbkra?*4;S%5Ux+Tx_LT=%$J zSfS1bqLWckvOk1qw~wkyU~|<6T=z5fMYQ-JUXZ`<&Y1<5lf#~$XRa5;XsHz=0Xd$};Z>Bn1`{ho5_DEKsgcOCBOfhaT9$q?Sz zX%DJ$&oSu_-xRV|gn;198AH;;?`%skA``AVLWzT*VfjpjFvPsH(mIM862#@v#6`k+ zg=~Hrp2Ux}DR8cOjjQ42xAP_@AHMzkzwln~{*yF!8i{-y^`m=uRyN`bbbnpGqL5uR z;R@bJ}%AA)b|Fh)WY=UZFnMX!)%{X&3U?o7SOg(nR8Va(x(0VK>5cfoG|E{q_68(mrwwMN{+bv1sn7h>h7&r?MigPE1BXbf_~umG$V%Fq>a|9Xrq^XCfwLL4`@)9 ztVbwY8caKS!pI}Xgge$GR%xk-iLP1n%Q|{`dQj6n(K4Q6YI16dFF+0hM0!dgHM zWRn)y@&vq2I+aT)#aB>W{VD3;Z8(h9AKQT810*sLs zf%vWp4oqJmN4?y61-A$QHir|;BNB&YWqko<;USC9BWh;k7QN)i?G`pHh7b59C<;cZ z#aM4v5}0ECGb2l=u!s*{oj3o%I7x&@eKytvws{)W6Y>ulm<&MYdbpK{mQG>`Zi4MxqFuVci= zh_{TZML=Jke~$O7QEJQ=0%Z(n2v;1j++_1X=-fkC^}t>f$=vin*=(|R$$yWWoKQb=>i%Q_b^avu05N^=k`wo5{jHUya&zmMGmJW8 zFi%A>2ioETcp5U3-NkO|b{{C%b1UFYMkkDw-dr-zx;Qb{{^bY-mC8S-Qdv>%*%P<5 z0}o^s>>d|sqG+8T4kS%p!jdm@Pw(bl;;;YA5ICGslxlSAefu)9K2;7UBOLZ6>+J#Ki z!G5T_yBj|@Lqytz#O4TV?8{m3Fy7cppXH>x&+k#&9j?4+jBJX^4+_;&iqg_>*!z5( zc{>cwC@YDuJFdsPhBs;B1KchkzA5Az9GNy9)BO#cam zbMY|(n#Q$|o%Q?Felq7#O`~S~A14i(h!5XdFMT*NW*st96>|Vb63S`Wtci=+K?Au0 zns8Of8p13Ee~N#fZaqIfPXj1k-SC@($_xH`;+*=+1G)E3Kc>?JT)!R#)E{}rL z`o;dodk46YIej5Y_(bd-ZSv`SZolRZwoO<6_TSvQW-r7Dwg^QNK13OyVb-OtqaW24 zBb2jh_oW7Qc#d6i_nCg|dq!+KAoKJY9YO5Wt{^#@$I!;qn#G>aBmi1|#6EOGo+AKHL7SMdZ{6Tx;Uv zoX9AFl^+-jc=5D`3oU$hd=MM2#+hr_>HTBv1sY>8MOau^ z?0l$mGYaPa3yq?dOGOZtf^Ld~JR3t?Y^>OvM?c0Xu&^uZTCD z)i8d~!2jg}WI9^DcA?>k3*MT^Fo%$l zEs%jtkx~}vjybF;-;A#A{UT0B(diB((&j#8Bf}{CCqNHh_A%d2U*wWD=rAI#ufycS z7!agf`(}j$#}m-MBY4He#py>6aFCVA6i%=+n!IhFS@fAlM{&dr)~Ljig}mL=Vk9(& z|M>rV_UxH!Ilq6Cl9%ZGWn^tl@|Dq^NXlg?q){hkC#`M0*tXzHIyCkz=~A&p%rsAo zH?1vnMfV?QB(sr+H(iJVfihcQhYbl6_wYenaRTJC1**fOq$I?^EZs4)CtXG|Ni9Tt z9qqqe-DbEniMAU#$5JgCfHpX zksgYUxLar8Jd*gH18cXwv8WYOMXRdNW7xnD5cEXr;e-1eCMN3}?L{vCUc8*)Eq_;` znEij?)SJGF4P?#vc8dC!zHKv3aX4(=)$(ZwOO8qNX--LO6}@jqTxol3?fg%Rxh(5U zOx&xQwuG~l<=R$0fJ7L)d3#H7#f`>`p^-$6PtD*GECR4;aAGG8u`E1T^3FzT4iNQ) z&MQ|$Qu)JU;}I7XPEyTnn@|ZZcp~ ze@Z4kAP39A`|dkR03d?jK|0r+puhgh_s(8Z#gWr)#p5il?Dor7<2J zUhI|<$ParUegKi{HVUV9iP0Z=ryS_-fAhDM$?QEV)_UZ@=Ea8a3`JjRt`uv{R|I>u z9Ax=GR`@vUl6=nO+`hec-@cq%w+fEO_1S?&S|^5}?!O5gM-n_CWQ^)$7=`*6 zf3dBi@2ziv_1FFzaXqw3yZ-3m((m-A#ztgk4XT$qqwl}t|M{_+< z`m}!O_S?DfaVX$@2~Wly>v@h}MrJdz#JWWBHHnLhBX~}6Y-aD<5kJRa=)yu&Y>;a7 zwjQCF+S-FGkIbU-TN)aG^X6(gO!zU=QI`lKzVdBDi!hy>jp@g@)U0XIq6(GY#sP27 zd;D4P(oYNDo@yeLdiKm+b+$f?rytp)?G?O1*@u5*Zs0(=;3e^qQ_iwkjfxVt2&F=E z=_dLnI@G=0mBc`#(8$Qh;GQWGOV+1(m1P!gqPhmJ;ZB!D)B z9YzV%N2E%PvFAlNV!G2$-l?su^f>5ltY%3zI6G-YLdv;^?v95;l3f^#zUAsVsnjPHudv_%wf_CYYw~VYT5+^Lgz^Q5m zwiPj~*NszBPQUNoF>aRq;gc-9CX7m&7AFQ6=BZ`QXl^~tA8Ff^)^g`1Lm^=#Zi~Yy zr0YCpfYImkmoNE!YVqlM9FK9t3=I#Xmqq_nR3r$!;hEiknaaCDa;^)&H95?As64-Ah18L64*zNrG6n(82dDHo}m2a9_lZ9^f5RMfZii(PU zIk)^R5Uv7qMk$oLz`^Z{zWkN9w9JgEaAm#aW3>0~4t-Jt0U1xKmt#Oi{b{b^M!8UE zEaEXTWhcog)-0Jdbn;HpvlqgO(cTEUDympq{+@X!_5gh}BC2zb10qPut++YlI4yG` zHMVC_>E82C#RJjiFy93n9l5bThh4RQq@yg(+FeX!2>yBM|& zi*tZ0jz1jr?90#o=x|ts*HZ+x7DVtAR;ckOq2yQkHQ?Edm^#;1XNR)_n&#%__)yqo zsk!*!pcWo-oXeQ*iMV8zEQ5RG=+c=7gw^V})ArOtMpL-j^jA1S8Zicxb` zLT;nY{)!Tcw(&Hj z9TH?SS`1Jh!|Q!a8MT1?dTL+j}%&18m%9u8S;V`853_71XK^89`NPi`a<6lNPthb>Jg$Z0#EG9^~t3ELE&Pz!Lt zYc{}OxOupPmWhtKB7@a|me1JK^zDC}hydy7A-K7f_c)z%cW0uZ0{b;d1L5W(!QXj$ znmd1c$oXS9K6M$q-;lb|k&)bYb*zNf85MBz8_KA#aUqRGq&gT7S+T8_B1J^mMun?0 z>o_89U6Enr=7!sOEr)%WNJ91JR?wDy4TFZzsLouk5|Dg+q4jnpidIv(la*cGy*cD8A z;Ulr)C5N+gsVDGmREN}m9xV;I96B3=Ovq*ii>7Ukysr#-DpuXLs~=vUQz;dkG_N5I z&d*zd$}cilq(7iNgP=^-!8-k%s*4VY#dR%l!j?jAXz;PlmKF_-^vHQv^#F&$(o&b; z;CZ`RY=*K5|fc{L%dMBHG&8W=BpS;L)jm1_B1YW7pW^0daZTDnC5$wP`qd zAJMzW5fgXbGk2J^kYb6zgQoA)8$zNJX4i#afUz1d+cweq5q!_N%FGBIU zM!K@%-M623HHFyJ492xC8tCfkigAdtG2ny~;FOvf+uyBDpu+U?$c>v5xnVu!9W}wl-za*-9Cl72KTz`4zk(Rr&*4Oo&1$6E$K0 zyD%nF$o?MK;U9^OG1?b{+16S7TzF&-ECt*~E>h=^ zC_b>@y2s)8=9|ClxXBfnab>^iT-5fmv>=iA3MkSDGc2h$aA^yPe%Vq;WB?`36^Xp! z9NJPD0;(ii64G0J9UKnqh!Q%azdP>awO#`uwvvfx5x7s#OV!>l6sR@RVN+LoEF>AO zkK8C~_b9bv7!x);gnUxn}VZ24p;;z3>j&7A}@WiKwLsX zCv5Xj!IWEagQ72q0~wSCI}(vKd}Ct+^`u|D2#y)jM-SE{`^{E0@NdKa+C>Ixfq`LL3UK5^vH_U&O?9DWJi?=yO59D0B z7N$!a=c1*f=H%r&LA6%;S}vYu;=&DM)nSHbld0uSv}WJtQ;r)7r|24HlhhdsW4*Yi zMn}KEk^A`f>9fd20jZjmCailAG#q4$A`A-UWONaIYC&G!3qa*-M^5r5!Kz8M4i1}wJ;UpWR-URlgYa*NgW8ig3U|PG z$M^*|^Udk~Bzh|(ZPJRL@?5*aiO_0?PECi10TF<3hBC(HMAeDH3TJ0)d@U;f9XLe- z6wYc{D#OZ@yg9uVmd`245NpeM5nklA(;@uF!xNk61dK!KLd!1?-g{pBlEEQM-vKj4 zG1)8+FjvSUv+tjtpQ|;afkYbd^_~BL@O5vq>iMT@vL=;??n&5p+*6X1MpZ-b1_DkE z3mLNNWYC+vdne=`R6%sZ(G>Zh)3Xb2#p~Cv0c~I)J36|f-MQAx+`Z6z`-V#~Y7cfBE7qkzO9pX?8(~w>;M( zVO;BI7Lo1tTR!1x+@N>|mevw`4^Yk@&P}VMBDwc}F=9goe8`@15M4Q$7;?@e3$#32 z@m1uT>qtcyS)a2r8)x$Jz-;zegD4jpPLV2BLaiC1l;bP148I5EkX}qopbNry*xY~h=O->+yA<>)1iX+0pGsgpI-stBVWFJ!6AS^wCX&o zDaFu6e&*B+_ekW-LX0El>F$m>@B6A^F?cZBNDA#!>^gsooFBkFu;srLDMJH?2nW)V z?h0S+&B3JFf}pZ zfGB8QXh@uIwAuka{;^mh#o+GZvURWY>sTr{L*I4NT z%0GQO$*O)BCfU8V8%#9t@UyURYczN9EnasZtlGOrgx$1hoAW_L>ZICJSr1s;IvUTnov=1DMUxpD2Mw)b~Hms~LcO8X@Zu{|ZZ4 zyIjbD!eB=fzP@Q4Dq?wKRn-%FsnQlnt(j8iZ=&---S@3Rw1&l}`_s2qRLtv5<>9C# z2rI(s!A26bP>FKNzAo#QSGP$L9bViIt0}b)HRKcGlj|6MdN>r0zAa=5$SVHtJ%_U*JZjyO+x`FOT~p;5W(y|$>j>Z;DEp-OycgR0zr z{f#cY!bOEMr%xyNzHRFE5Al+V%{JzYtetVk`)o3HNS%_rTrWzTzrlG`yLb%Iof*5i zkkqNwHEu}c-KhKc^~k?hPKzQw%*}ciNGNq(hcBbFdKuj})ZFgHeej$YNu53XLe?o; z60J!@U4HwfIjJkaBA_;@b$nu?J49pvjs>CH+Ma(p?*00DkJIxEH2V5N;jAz?E^Da3 z7AD`9ui2)>B_#O6ar!jX@tfpU7>_%tv#^`0D3a#RQ@Kk;-w6A*qaquB-Y$blkHS%X z3r=$JQP;g547D4A)DUZZ|31x%Y_)agF=gcrK*;WG#o}gZ%7_qv^FAv9xww$VU{*Ep zlZC@D$3&7rEPW8ljh#vwNYlg$on)tfXN1xBkI#?mDzGNyh=Gz4AJk~$MHqW+FkA}{PG9#>Vm94zlj zSQI(gn&0Du#qz3e+gyfjS7Be?G>)5P%+mBx$@VHbzud$PtIedAFSJB+}v+rHJNI) zSnXluM_EZLD)EKd!{eJt5{k616}cAMv}$@L8JK#pF0a>-{#h97GVhr7+D8Fd()>yK zMF;)aQNQAXMU?9L`Z~%2hMY@Vq>dilvZYK&)aHGd{g7c9wZ*xH2O6vvHq7DJeRmI(@)~vOyP3H4mGfcT|=Hxt#@XswBpPF(jZ_cc906SN`);mhPCDGPb7+&iFUac4R}}Hjj;?wXf$0| zh{{uSaT4t#*IS~qF6J&cHw83jGwC8(>&z>kI-`IG<)7gC`iz7rDwOh6oEs6tECUP# zXJ6km5m5$;foPP8xOH=sIhlGW`Hr2S&x2HEc$dda=F7A|-EFH^oser4t(+^vR|Vjt zo#}48cXQ=Iw@p1>ozPc2RoU*b-=)r{WS^Ae45vH=f+W)1F;#?(d}XEX&Y^vRH^@ZZ zj*bp+fk7Y*<;9H0s8|n+ebLX)P4p5<`%h5DAQ)q7sN|6&NO?@%Ry0WUM9I~Z1VbtO zUnq&``RZrp=jOC$|NM;y{sVZdH{mL)9p{68Qe*M=CsHayDv2WhX@(DO)mdSm)&LS@ zFXd8e2ANFH07I)uSmcG1=(F{OOpvM?*zw1ATYRHAJ|n2UAq% zSA??ms1_BavWImi4mn=9%gr~mFAKTzLysR{jZ)?tV36IhjV^5999`|kOC-Sd6h8~W zCnD^&HZr;)lEbA>^uGXN| zJs+?Vc@jw7!&twcPsI}gk=`3+eN8ADszz=WfJlu~h6jv|NiXDBfS1-Jb+J#DrQC=4 zjApWp@e?%XVt+Zv+i`$}lF4AI<3%rz_nAK0qiyr4@9NSR0$NK%%Xvw|(M81}%in&2 z9(p81=C#)K`sOIL(8Nq!la%Q+oLQnwy^?zq4sx@c7`3*T@fdo6p+Hs1fKUw}mW-YG z46drA7Xel$nzx7RBL>*IP|$b2nR@(^N!g91A<@*GrfLQ$ZU?}y?uZ!esm5qTc38^t9{nyqqL)&)u<)H(bge;CT{bvPjpZ0otXxo6L+QWb43T(|&9a$pB<)ynfuYl{%tlP5B19(?#lh#g#Sj}-fG zfNa)`)7*w|ofYRgX1XZX+G-T}qwSYxl0J(^BE{KBLn z%D!?Y%5F_*UrgU^FaqqQqMCF6z2hlEHLCTD*Co6wY2!a>`H<$`P*FX85W>9`a3jZ- zAiUUm#o`={EN`VL2kSUu0NWyR$NSAq+wxR>p>e!!YcuEn-d|Y}Ga-uL<$z|L57l+~ zKpOK=^%s;rWjC}6b1$k~7&63%V*$pZqIx?zXsvCBsm(hdCizVGfUtes&cskiSJE-w}6h|2@TyHPkhSrD>&m$!Yy=g2}HOrFD9Sxu`#GR zB#SVMzDpyI7p_Z@LfTr1$+Da+pSpLRT5WXa@uw@@OtKcO>PplM_^|cQjz6}+et zlF9{Jm?NG&Z=f1tHfTUSh1(hraA_c(<|?cNGKBhVa%#%&;>A*jrl#Gvt;rEYn4Cj$ z0dJhNG`*Z-C=07lt=mn-+LFFw>Rx<0=OjHiq>9`u$%Pf~ZES6AeSFw3B5^l0O`mZm z2C4fMnTg@XId#WC=muaT0De_f@vlWKlM4z93n5F?EB^c}3zDrz_KoJcf;)R9U*G@F zd`s4}sUE5ObBUDTcctMI@+QY}OsDVvfw-*qAxUiPh-amPEw5rfDY*8B>a@>KL* z15}w=Sr|g$D-&Wf?4zz=Tnp3v?)ro1`hudZ!nA>o7_f7*uTLF&9f*N3@$#=%`vyCI zK_K@V)2#tmXAhI6d>77nRxHTd#1E^x>zX(&{dvaBFn~2 z;|{!*)AI}tP0%!x$JonwdxX!ViP0qV)9C&drl#OV0L%dH2eI^R!5d_<1(y2MsVy1* zN!@w+1IeZs`r{mdlV`%i)7c6#l9D6y^E&>s<)|UJ;^?SC+-1pVgQTR&k5C!F#pI?r z!x*C>s4G_47ea!MeL|>{m>T_OrRU@0YF~a-yUXs0>BBT{DXjCKS~pCPoqdXU$wrmd z$iRVC+io$y%*9x9z9QL#9D~`rO|<%!xus<|_1!V4+e-Vd*>Bvy-lH`!`k2N%YgzO1 z3*xpGe~J+7*?mNB6fV2i_=|MBNlC@1VRVYK^;F1le>4_6zB1;ZGHVE;LFb7`S-C$msIk&gRUPO1x#t%w0bG?MO z8{~95vQ)e_lu%5&qEb>vC>7z1{5Ntqn4$Bphqh8>MO_5=3Q9LT@89#UMfFJPI61*V zw$FcqpRf23EtreOixF%<2W)PBU%@B&6&9qN>l;Q}cDg4jxd{H_Fkv~zC z@5L+&Wd%{hRfXa2g*<)4mQX6Qdx{OD+^-TX@8X(#_8c>CnNYg%T^sb7jW&I>T$qP< zdBbS8z$6aff3$DXHkCj9r;dRGC&rZ?}clmN*B{^uO;j*gmaPSNq<1CFqzcvdptA*=)>d^LeOk&Dfv*7KblEDa6|KY zn#|inG3Np^i9|1!Yl+(YATiu|I%O49+1$L#YU9!A%Y?pE9!ByK$07zS_{SP3sNmhz z(heeY6%KnqjN!lOB1O?F3BO%j^8gO_wtH`USwi^>IX7W1pIhzRDtay~{fxV>ot+(u zTG#4#EQ^LRUsB<+k0^!h1hGM1U*F_g_btuMQJ^jAV`4D4#6NJ3b-(85%a?YD*6U4T zC4dI=!YlEdr*R*;zk$A={?|jKh@xJt06Y!u(l1yM@A9z8TcKbzB{Bj^Z;(AOnXd9utC_C|72@Vd%wQh9_Eqz7?UU%R? zyZ9Q9bG9w~d3PrP<=0s|I|6GsN@pDJ&=Dpz>FEG_l;l*SN9S%P2A0Q!)zg!Uv3xHS zPu%U$x^Ur0?a6>-0a_|he=(|OB|t%2SQsHav|}MNZcp6FT25Hurc+tro4NNX?e-w&Vquu488m-*gn_MV>yA_)T*>1rt0AsYV=@*Ll` zGpmJ_)V-3Jm&3nNogRa)eae9;(=2;@%I{H}BSoouR=@PVJ8t#lr+xhl7zUO-aC}8u zs=2w^YyaL^y0xK!rdpB-^BR!0ibVa&qM}(iyEk|pM6Lwfwzjkcj)Ckq!hqIphtxSr zzy8Lfj|@u%(k&K;nYk?|2gJY7?b^|F5~xeQgqs8VRUsqR;I;=hJ~q}Qfc2socb03t1EQjfRZw99ug6UAVcZ=CI8_PUtdL|nq1Pc8tE@s# z65|+cYV}jAy`74!_2E$a8X@A(gI^U0G z>=)0Rt43zDv+?xXZRJ=*=n!+t^t@eY`#RdURht)jGe30=M-U(vokD z7-Q@8U+_<_ouu;CCOdK8vh?iE(ZBV&=g568zZk3PVxwb1Y+B!HLn=Zq2Q?ME&x;A> zy4fl^!=f}?Jm%soViF|ohpQcIQp`o*tebcyR<9U*Ft9?nSz_`_e!XEEE<=gF|M{|! z==J<}>l>^DtXf&DUwogPR}P;mn;EFHYpD$iJwy6D0}KYrqCdpXm{e$z?*Uy&178WK za&U^ZwULWzdwZHX0@6;Q8zxWe%`d1=^_-svF%d)!m^W%RojJ@E2fmz*!*O}}ndi@| zzei7=%4q$zDygi@T<@?4Q{V;@XoWyQ&doo}WQ0m(wx$kaF(C3zDIrCW)@xkv6>7ed z|A?z!Q!}~X<^)5T$}mGl-N331i9>qFM$E_p|2Z$Hqsm`%1Yd0gO~lIxJ1d-;YLF3t zhQqqM7z!Hy+X*M{pi#*gF5k=S&E4GI4uqt<$Vq)6)txeH2>3B>S$xF@*Q%;IRaxQEFPrskBe>8o>cNHsAJ8I?#OOO+^wOm6RlCgk>Ql`h{h4}8Bu39| zX*UsgapRsZ7iVO&sNzoMD-Dp9r1M`ld^5gwP0z zPh|iS4F(1PW8u^S^e8Gy&j%HSl9GF^86hvxTuUYOu%cpl)gxGWhEtnVmCT{B=#^Ak z4L-Vc{&T}KDwfmxB5gH@&*p)qn2*-{C*zY1jg9ycdDR`icpc=U(VZ; zlKTE89Z_Z=x>YnO?80+UV!gcdH)yZoX3WgU$Q#fiUETUxA^XXyujmzD12$WU(B2ok z0@T!9Z>x%mPR4{BSc#7cJl;&PQb`~1xAy#})lnIoqerU-Gy)Ds6efWB=!3TnpX6?3aqIEhZ)0hG$duzmWXsubGv zMFo9~OZ8G;vx2V`LZRje6nAK7NTA^*KP&+eR+FS*@8Cdd74m|jES9dwo!Pz7FmI!C zAZz*%SdIe!ty*835HGJ_?3Gj+UROHQ$^25&4px-DmEvw^EOHzBgu)WVcY~>r;ciG& ztxI9vDy4E!2wf)2W!4?fM%ysf?$wveCsz-j$Oh}dWOTrlYLop`CmZgDc zsq!iwEc@I;tF<230l$6d3m1e*#%fAvKd7hz5&*cJXr ze!DR{YcAg8V#G>FH6o5wsR<8<`DVIhfaSg6uK*+V#)I3xK^(Uq`(Jx5ddxTTY1VOBZmqtMaNfLO_X;p2XH zEo~ZMc9}99Sx+X2vVq7{J3V{q_>yNvR#sSZEpC`pS}?(G#;ZK(SNum0YF3XC6oqiy z?kp{xd^`NuQa6Xy4b<$vk{NdX+DG@QiJh}h#nSoyTRPNAIATD{1ixhu4-Y#Hjy^I~ z2>%lOk%4lW11H((3c}QtmxrwHF`bclU&TPp%nbP%I7{3tN2R4pI`}=1s!preffLG` ziCWFz)~#EXW@aj2wStXBA0-TGuq0=!8vojXe^WXzssuF~wbhH8PY~(7Kc`B}ikRjd zPBoE@wB_uu>U`gPce0W8GNarJ_zIn^#oWJ9k|`|PJltYr4wg8=ihc*mDZH*270r2{ zt*Og*$zk_#vpkrRaSalkC9 zsAJ9VOETetYcbG?Q5H4RC{h+(qB4E5@L9a@<-n7Wl-E2F1YV_K%rk1r%Rk_hS-T0Y zI?g>1rwkp|O1L9!zpu<-OjLcQEt0j>chwwb2P-QA0{g}n7L<=4Phdqe0}tgylO!EE zZn|$hu8lxl8q?RWpnrkSc0a+Jd+OOUy`Jmh25kG2G^DxulK9(Q1k}t^R>|P=^492#Cpx%Ex%rB%@xSSb=+GJAp3D*1;hnyxE6w+Pw*v5fCa3f$Ny9dqc$p)tu2~ z%9f}5FnqN*$<_z1S2zYwMh+AdvZT_=N|TOc6PBjxsr?{=(LMxTDU^Y5>Xb^1IV!3#gXE(7ntIACJm1{y-8Ve5Or zB-U`)wgw-2J~eeJG}cx&OL_0M3=dI(ls}dD;Dji!CtrWv%gzvi&q{v)et6)UY%P?) zSB$}w6M)sXo0@a>v|b-gR`#Wv#_)d>w2CN>!+=Cq5pXbv={m@W(aS#?xg~4(?WJSZNSTcwS~#Mg_LOs#0bP0fJ8j-FTiS)6_u*L~9(l#@ z0Cggh(j|=_SI^eE-gu-UQnf-W>rF=`o2O zRubue@wX^CtFi*7FiCg-oQ9XR>s6;*`~`(hP zsIWUt+`ox$(p<8p`Jp-EJX0+RTwm%`+>Ie_jC{j#_?@^c(o9&B2BIe~5xru8PZ(d( z{)F|*eSb@c%=@*r{U$eU$CGDnpr}*JeWaDA zf7QgrXDXmsiX!8BzL4e){{7d&ij~j(!CR*_ae_QQd;H`HLugGy!`E`_-vg_@pD?be z{O;6Y1#7jZz!fl{<-?uDUl4!-JLB!fSTV>1i{ApVJ^cKdqd!pgyIWvhi}L(n6Rf-d$#r_Y>Jk={Zg@7(IPgLw4GF!#SuH>CY~=euz(S#z)z2Q4zUId7bXgwv07Af zNhYj>e+9XJO3KAE7I{AdiQ{J;O#(0n-L=#>y5vnP)G`pSlPR{>OpI}A;ZqrtW~9gy z9+)VO&o=c6Nk-cC@AkcBPY~oI-tp7Mb!s+#(4LEvd)}nsbYJTGNY7tF1viG@@_B`O zt-|^Z4$63iQS6sh6xY^%#tiqK&+;fP4WZrGOxRy!n^4$g#qrVujZw&s53fn?YGVI| zby{Vor{T4D>)WO|yu2pDf_g;S?cM>&l2*5S&2GWPCgF_hRL??PWrf zx+T^6D#$x6ZomURKip?}nR22V6Q=gKGItGi1EvT9Js+B@C&zgBaK7?RkCoKbMbI%) zbw`{Ru-vnz_D1fb=M4eedv@cU62d8Q8()i$$AL{j*mcM%T%i;!SUlKXP!E@mraoH# z1(Fv?kxNfR(ZRq;ROC(W8HuTmo&L&ZyGvkG5Ni z^f|k86U4pcg$TXkFvg4P%aS7HtSrOpUk1T{ai65R0u#yrBStp)P-qv#np{GTYmPh> zPVpd2q%cq4s|clctFa+98H>1_A$6yP;P|rWa;%5{OlXv{`~bu7x^G*DzEFunBc>y8 zP!i+7nO|zGb;l^ncuUhG3{{MlR)Bxm-(WA8aj{u*bKpEVhC$ueMAqZIug>HX z#{Mm+R48Q#yq&d>ZNZC>)l)RPsXx8^oxUVhI4 zoE#j~Q~MSV@F@7uyPidFxQm0s*pg{vVS#xWwISo#mT_89(eV2mEw+Vud8*%3C?l_i z#M(B`O{AJ&960 z+Ct%s3L66oX=xwu!r`2!!V7038FK~QJblko5Ezj;{cA#es&rRV7j6IJqCL%xy7GOM zy&G8Ua@YIp@VD&x`!JTte_8^x!o?*-oZT$nuqoDDP_!j2KHU6-{2B>jig5dFA33HQ zkcGA5!8P~Y?aIc=wn&+A7ibPvu83xMO-ZfZ#%j>0o99j!X^Wm6Bc7F&6*45T8E;Drp(MG=9%kq_VS1;U(Qq#ZyF+42wh=BLz~W5F#afZF82RrwsXwd94-C+gNbfz-1x1OufeiNa@5{%>u|~_~GGKRRd6hBA;I^=P^*%0%tF{s;H{OCu2cy;@#~+5t0ypJ%*g*Fh^FGQ%RkLC7GNCMRYuW)Hst_yfo)DVOdo#@=7k*IgcNDNxit`4f0%uH&- zedgQ5v4$n_;L`;70b}h?U``$T zJv%xI+kz|WSr?h>Tq1Ob%B89L3;JEI>KSb8!|PtXsH^s@IF(cwR!TBai&y^GZYjj}+MLnynwcBP(o(HC z9I`-2s~S|8D z`?Wqxmw`mf&GHbqI@;1D@7MO)2&sJW6H1-`6@ZTQyUph`6ZvGeu&9rVREnl*Nm|u4 zHKmnICOS(qoQpT-=$unyQ+JM?3>46OA}twwZRSmcR$r>g)g%ib73ho!lq_KB64i7o zPpYTzungAWAb^1qE*)}r_7a^cgsYIhRs27VPX zW)~g?9I(FeYkb^THjDN&eIqfH%p~(|1BFEWj)C`gin1xi#8)-o2jjOpZ&;09sIoFh zA|2ye|IErE$MW)WBZtGdanU&!2!?|@1`yn}vF!593XRB7W~N7x8Mr944o1R#Q)w^o z#63cy#>5!|mG8UT=6ij2`8C+rlURLTv_W6_$lYAUIgdx2EuTW0TJFJux#Z(Z;xiqP}jeyd8v$acW*?O^vtg3SbV}}s-h}fkq325g@Lmk6<$tEYf_?n>sGLOc#u-=4H#Gz z+3EMQ&fS}toP-w$W&1-ToGFkJeDc2ggwp)u{nyCZ3)QQGSW>uZ&U_+#Z&t|%7TaQe?29x(;6$*{bOwyHi= zd%7(?c-I(yYQgllygpUEOVA|-79%J)f=DeB^I!aW#yaZ_%wGJ2>||+Yp2q0<`?gww zF`tD1Ro!j%fCl-0yl%^CMY;D{(SQG^1t`Zo(XXNrc3J4KIztuoXCI2ii;s=V5GW0l zAoPwxS$M^jt{CjUBx=;gs53ai$QG(h%ec;>&`{??=%~!*MP5Cd&mzCWuRpx*N1%M81kB*(6bhn*a4TUC?}tIj zWH}5pd(vT--61rA%21wjR2&$CCD>BpIDwCs5DQ9zA?^{{^Mp(H4=zb z46FP0(;;yKuBFP#>v>m^UIL%wCY$olw~zCK;=?!bJ_uP@h|WJ2p?m7~VR0`+Ha6_c zjeshG8`gQ;aZBP*7Jr=2!($8EibHO;!J$xBK&EeOw`rhpfSowD7&gvMY>=NYbi3hm zkCWR@Tqpnb{{VcP@_oBnmp(bK_i6(w)+-pqThD_c53=0WhjeIpP~@$Al|)jes4xJ- zWIu9jp9x(od%TTdD!2HtX#S;GFvbs4+COnY(xiIKCief+9RjQ8-LeC%Qsdm3`n&iF z0r)=)_qo44Bc~%HUXsj}@7xMB z*whhs>VXgos80oqsP>XQ5R3`OJ;6s7+tx-Ey}GhAM`YhJq$~4Umi9u(&u&he2Bj2n z_u>f%G&GxgpetNmR{ZXXf+ck6V0hVz%vES0jBEs|%-&ASHw+-U1#ZQ-)N@SIi+Bl? zme8&YAyeFty>6Aau>iazC)K|$5`tv6W8~h)jsqRLck#TKubJX_oEe(2PP8>h8A6bI z)z>w)i`J&eAF7mK&g`5bUl8-IP3d_~9H?lCNVGqve5K?^z$^T+a)%~$Co1Xo4?(o?x=G&pW`hE(#(7kh<**Ci% zl|N^{Hzv@HwvCk+9X#t?62Eg8tLy%~V#4uHvjErP>H9JV}D_aEK zs&(zH#17O;q{v=6N(xctb^Y=A6-Ha5-z+x44X${YF?+TD`FmkLI&&uZnZr7a)ajYm z>2_W13KZMeC?PDJ4=JPZhPHX!5Rcq#U+xWfv|sHNlHV3@g9bTydHMZjl@f}I;tbE=6qVqFR@M^g zuIN#EICxQ<8cw8sF{C#&H4#yz2&ZYe!N?Leinu47$gm^a1q8RYx@@>Z4q^nK<I#G`4@~cMM2)$ir z+pr{V_Y5KOpDUZU@Y7|_?#rYyW{D0(axCewX^>1Ty?ad3=?yp}A~7tcm3{lX@qmU{ zaoyiX-QAZf9Q{)6`E8Ck(kvnd9Mh6_Lq?0%@A?YGQz9akXLm(4YnGZIYS^|^mYYRH zK`JQYjBCuclAntvbM59#LLy&(#@REud6Uy___+$h+px3SI_Sqb~CdA$RN?uo4 zUH8m7{hf(Q8IJKpJUisCn8X1>`6AQ{;msBUT}u9oT}Dbj?nL2pVF+sP>Ovm8_TQPc zRhQ8C2+~%%VWJV^&s5Iz~|_|MA#3>!)i0OVTY z>+BpHpk3skgE$+$Va);_T|7;~J!uv5Bv}(>w6*t5LS->fKsM(JK~Vk*KbZbcjqy??sA*YQ!9Lkr~O^SRo-Eu(YzllJ!hM%Th{Ve%WG zd~1sqYl}!oh5rOG5r~o7mb&yD392oX&sqkv-Q{@bt}|NaLW28E`u>d;;aJ87YJP`Z zK9UqbcuY=CPER|5Y_qeg|Ks~_+M|`cX?hi&ngtHs88MsY`cqn_XnF8O_sEwjwWpzPuKh+XkfA) zUzWY0C?D&=7N`V)+yH#wx}`b<5@dZK{%9B%n8F&{i|GS7R>QcP3pRIw#y1MJf3%ip z5co4+=leKi&W0_;;Us!G|5lz*W3BxuTKf}e(-h6`ixLAOhI3Y=IL{vu zLLb*wf2}PwD;1h;FYTXJyg2e4by%~r#k>qmOiV;3{m_slOq6GT>#L9mMJHw?7jJJa zKKJ2gp@^%OkVq?*oq!JMpK3)jOAl@p!=^VWIPPlxGic>LbhlL{7Ly+wz_Av}CC0$X zL)M!)SM=ML3D*Q*QG;fy(cU=T$<9uvGW?N_kf^ArWxsav=?PbvN4z5g3U#ZCMM|r4 zQH|>72%PXQAvLjB{c#tu?rq*zug)yBfgc!+Qc{$X3bCjn9J^n;*NFcUptLVPeVH1b zql4D)p^dR~ncmb6E_ghNfBT1vF1+lr%66b@b!^bwRG&sq(zxg(&!qYixblA7_k8DT zm~GCL@5tB_VvZ!${XWA?G7fcA>Q=_kk6shWNMK*{#QS*F+grG7;Z(q~?q}pdSC&`X z1oyI4R@47iF}diC(W2m>Y2=2uJBI5#W7|{W+|s+h4*z;;PtLhkY*J7hBk;zaK8fx7 ztnd>tHP7qjo9aW@`QXob-uNGqDbm{ft8M#f_{xR}h-{ z&8><~1xq*HucF$YTr3o}fYD0S-0>jgijSY+8RSu*a@jt{7mHqns1)<<)BToS84~}P zK&BwT>NAi2WZxXh&?p;MKz4`F9sMjT7_CvwJvl(_bzEFrWZaK?9XX3?_gm(DE?p{( zrb1;Hu1@n67ETB*D*DgR508%{E7J4FtG$^WlWGtwAn^{<`5G1oD30+qAjGm+II8%qra^4Wdxo~ab>lFgsY5C8l?G}#C&a03Px861Po`N^2|0Mg1 z%f$7i^mhS=Kh(`6)mPR(0RHxX6(1T(lYDo$Q38~Cxk&-!JYZ zIopePa#+kS!+pksyAuE`6MOR z%!1948Ke79+B?}0`OAfP{Z_c(lQRyop^$Sr1G5yaX$ji=yT0nt?nJ8@jn|ks-CHcy z^6LJGT(i>4ecy)eoz1JivrgRQjX`6;+OIsRn{`V!>H_|@;nWc>p6v=K53Dt(Q>nxa zfDp{|2lEllqh2H7dqMu+6qNV<^Y~d)087|8h%tkBuV=_8DCGOZ={q@zDfI2Rb6xll zS>{Y$ORyKnE!D?={&I~^Q6^&|gV;3UFXKN20lYK3d5|y} z7Ru|8H3ehP4$`(o6@5VWeMn|7#U5-^2qyh$VD&4WTbsq1x+eq_%xuc$`K}^Ac0Pnk zwvGr200(#8;yOLdW~w3Uzq)d_ZpFs)DiM$s64*}x2#N~^!gs7Ac+Xz${raR7;^?lg zi#Q_k^YclDBDJ)=w%5fqx1QYRgOr()d>U>gzZHbRs%V8yvf~*82bN60GJ?PBP6l%@ zSFSRyI|Nt8`gc?)m+U>c)56@GYz_s(SzZr;TaTtFDiuF&R+*iyK762hkmV}lyA46Z z**9xW^+T)>|53KHUgGQJLNsPV%86SC z|A0~bCLHFZJNqdtVjJ!RJ_yM%3eYUe;o#HPKPSaiad2B4yg?XV>g8u@f=P0iKpttI zId^Up#KW9LCC}_idH=M-4Kgq*Q`7%cUw&PTzw*z=u+x8K4y7!|v5ykUdkd6aV(8<(Eo~zhTs6{G|o-8{r+eg-*ixzc)_d5aIh`s5}TfF)^`~g-kZU`F~_X zE49UFOmzSL#;`k9_XxLUQc%Nxo5ej|It%?|gJ$+0*r#H%Tc*p!tkJaT{*kNFsci?D z=hInz?Yb&>N0k&6BORJQ&=+PPP%{57*~n-+x8qto%V?kQ5fXD^wun0;p}2->SVyh6 zrltmDs4IO)$w9;0_cIK3D72Xt5P3-8jG>gpS%vHuxXnx{B$JW3B>>?Vz~3YtCaxVt zMTBM}bg(uh4yS-OqA|JG-^@EhKkzP&xg&19b}dfKylit~yK8wCw<}LD{BNhy-)*b@ zY%%|cIyIIvi^GnU;wpnSj=M-va}T-2f=X*2B=jID?B0UBl2Xx`VJ)x6TQlz7Mc%eX zq1N}!hd0^93&v4!>>u0)Ku+YN^z*GhQk-E<{-4c!E68amahdBpKE{L^HgBb z{`LL)cgcb)`V!2YAfnpaUBA4~B|xAjo^vBBD=Tm%be}ojiwIBRj`3T}v*06=&pu%& z!~UaupkmWCE0$e~E8|H(lE6H}gT?&CkQvU<`QI2c5EbXgz2oC%;WayqtG5U6>x^IJ zGK9Qq&1J5_;Sl{Kh+h+Lw&z}OK50Gs&qO~!4qR08@WwDQyN%-LbGPZfLm{{Or=9KW zj2FdxVj!n{(KmAzWik7G;Cq31*JQci#`gWsRH~e(uy%s9=WYhanDk~GC}7o_7XaBm zTPQ9K1*dWHh0NwaD0)vicx@oCz<^CM@G{3r4ayae3>@h*`-!zlR~)5Q*V1tuR8@Hmy7*#^#mWTvW!-XhooQs#M;?wFW5{-|!6Sr(iC%?a zLokspj4&`7C#kp>c2bI~OQXasF7-WG!RrTLV*}AqN67@l9bduC>L`76tR)UrOct+l z3;?;`7vCE0e)+QS3a8FoE_b+k+6A@WJr|vw#S>2M4uRP4N$MCQpC-sP)BkC8`k}nK zSF9__(Ksw|+8WAn_#i|M4PCDNekj0VU@2ZvMyB%nS40foyr`aIJz*qTTSi3Ts zUS%B-o^I!RLR%1@AcDg(qZFTfufQG6{_?r+pU%{et9oS&PuUyqLdwmqvBkLwZSQ12gsfYLCbOBEY7=pxLCwHKL zzmKt_m44@riomlE7!54}8b2fJnXop_svTRbRanRu@~MmCpHf5L7fOEgL)ww7kEkZN z8q5W@EB7)(;^Ij6cGYqA9-yHo{cF-Yqt>QUSEu~{cKaV-o*$g?Gb+eUWNt(gSM%uH zeFd+rUwq;8gBZvkY2frGjLaJv&qW=%43rGuKSVM33GsQA3?aIUD8UPEaF;{s+XrZ6 zUwds)Bud`Iw3j&mkx6`s|4k%o>TtN0&+uzgvk~{$T%&X^=E|GhSq)Y?`{$6QMy0j_0r*7 zQ>eWd8#}{6;t&Sdk zI=4BbeM0e96(o)>S6lNpyiGZB!&$%`hCGrg4vLBjqY^e&@neR*?(8cs4J9@+PwZe% zd1Yq)?eg-oXE;zb`M0Xat&BF|p+UEuSIt?FhL=?o$%Uh8^*>a=v~X0ipX_|c`?T(r zykr@}$E}b0OF^(Itg@vjQsK>3RQ%Y{F^7XuwZFHw^gObY3O{oRT?s*!;jQ{k-NVO6 z1`Pf7-fgYLwCexsia!+d$bPwj^##rtw^9EeEh0tv-dQ#D?ttim(XIz>7K!V^3_;yr zZ#9pyDlVnbc(b<6M=AVZcqt1XH?Cje7bQm^ip3)71A!|bIz$FlndQAcA%YnVdxZqa zF-%AVi{5U6=@w`+6=K6zaM)P0b4f2(N?x8xH}`Z7G!S~(#t>=2in5zS6}LX&1{=v$ z6LdZCX(`*+sA2(Mu)5z#bzUg2LF`WdG>#_!8oWri)?OhFz4}WWA>J6Q+ZT}`6v3`_ zrr~`0*2TK7EyA1%myfQV%{7Q-g8gHCIjN!(xrsk^oHcMre~9o59K_a=DvCnzXb-3s zQjxk{3FXa^hoT4odVDgXTI=}*$D%Sb#qv)Iy= zXEgKW=4VN~MW;FM&&jI(#RBs4!c5EacY*!eefB3MgW@9=ZM?1kLopDw@%D zKGYq@89MxDgLmb7kFl=JvL5z-Q4Ra4vOc}8(f)N;jVGD)uZo#&{AivsVYn+}aji#w zo_F8d`PI6?BS$(fSyancmzpur1l|r&-b%xFT9Y^AruYf!=*!Ep5ue>2ZCx8SFtf?o znseVR`cGAh;YCByy}1#i&+piriKpXq->qyHOvjK;d--nd_|uuGswe*b3QeXlgEo}Q zAMuX*D*5Zsnt1&Bwy>~V)Aq|N#pQ;bIwi1y_V{8-oP8N%##_KLet#A&EFBXrwA-BM zlJR=O>5U`%$ zntGN$Bf|o$kU7;l+-)zy7aLJh_R)XsFBEdRY*9S&<-W_8JrX@J`!9Yl)lN~^7ctVj z%fH5{U%HDUys%IlV`obXik3K3>u+89D=Z=cTK0Ai7FWFjqipjcbXqj>i`&KOPJ9TG zXZ%tH6-D%yP}eJOcq%vA`lNK*AG#;2*nI2>za}x>`!6-_8lU%yw;@*jRS0U5Tc>>m zcx)J_-20|4ALiPu5yyV-fws=oq%-7%v9t9CJJy)Yj7vYzXy_Srnb=t{W!2W7V)*^k zzAVBp-n%w(<|97pUt-M{c}pOsKyu|wk3*2-b)Z=bsEDY;Nx_gVa3X$XUTJN9_3v`g zAO9)sV+qgPDWJtZyUFHtndBO9q*0$;yssF`ZuUJmXUu)~>6~plliGO;_d!}C#P-NQ z7@C(iD$kQ|aHzU#c*IUw#;~Wh<&1k3MToY}CcDXS^Au>-zidD4Vyu#wupyi3dt}4% z7?dX%Hb-BEM2I8?;e6-~sC7op7Ed3W<#cK*S8D6n>Pp+%ic#GkcGXFoD8$RAaK!~0 zRM(N`o7mkWKYsj3^fpX(WJ<_Q^^}~0L)IJ>knglz<87>ZXs(N3OaD}IE==y)Pbh19 zsW$jnGK9=4U56jVi9Ud=2ciX&f`|+xwaUBK&kbCV;+nNNko3kreiC7yoG%@ulMHWA z9LoB7dN@6~aCg^zDmp!T2dM2U{%^N8ZwN-3-@+ZL);j&0=Y3MnX(v`GyaUI(bj!tO zG?-OUnPK`<-C8rC#kgzo6~}AMjT)Y(ycd&GqSzeGzPWUa;T3g2LCsOzn6UIui0HVi7P?{I0eY@D`9V0xhH9zwdgwpF7fCud?K zqA0Khs)d!OCs?z;H^_ZN9Sd);w3FgWvwwV`v-u)-&D>A(qhDRQH=gkCZ+b)?^4gg_ z2+?&x*)?RHB1a&wi_wrguG${E0qOCvY-gI@noU>f&9 zmh)N_P-c7pyd<2Fm>fRBt^PiDef2zOWQ&ft+wmf?NM%uQlwU49J({V@`~qDB-g(_TT*FOSpMI@g>9||V5bll z-Ewq$%7h(D)WY!a@N|C#;to+!^LJ!>9WcloRihj4B}?{3zYq}0d(F@&f%lH<)-};q zne(?SEbBP*w;j#Y)xTE3=1Y5J|8q|KZh4|8@A>o)c~9}IDHA0vs)v4vsPL;FV<4=| z%Q)CusNXDBnk-fTlaqTHPnW(H%1g`kVJze`+(_uJyX?zuz1zc5D0haUa`$Vc{FC$a zdfgOHx%%;kk0ln6rILEP*?6{RR9xrR)LF}EI9rL3CEDdbT3Ixic?%t-G*z)b z3+1Q3Py&OljmPL+)Cg`L*fu6yAN{Yxv!yOaFBkngdqN8BoqvP%;gP@W2+t|OWguX7 z+TqQtD)T=v$#Y!Ro`?XHSTj+CQw;A2A;wqTeMbh=8=$Z6Hb$ulrz4FZmVqy<)#-!5DA&zQhCF3xUe({2G}XD+wk=%_dIdA{qzbX}6PN;g*pYQ)*E2!?cc- zu9Q1nFZbKWTKTQv-v+CH!TO^$)5~_KBy79-m&mwyLtDDXP}4${gq#!T3jQoF`zoe3 zkFMXZ!yN=@6~>#kiEZKP5}Y-Vdm`2m9%yV2(8K_eV@S4znhRMUoSep0 zZetl5H)_oHKj(8T%I=&3Fi}!cg8dT|+0GXyzSK)4$rOZ5{v$~`Q&-}*L@w-fV^#@PivEQT67OX%D zS9f=e1!9r z0m<@L@Lp#Est)3vRZv0+55z7nKMFVFFO0(4^zYxDRY=Ir$Evsp0qZ^%Q!n z10E1;>lepVl&lEJVX6Of+#tY;bJF{oq=?7qJ`U8JNL}oAl`=%RjR1SW4`m88=N~n>?(D-^Y3er*Y(A% zD%(LUh<9l7rq4x}s>~F2vJz0VJ6y$fcEEP6(J#Pp!={v?%O)@PNqvf;-aZRvJzOY= zJOwTaM~Ti;#w!(D)}Q;#$$$R6MJ&Qd~|rna^-Z+3S^u$k<`DynGSfS)>tf}^qnRDkynApE5A*-c5N ze=oT0DRTRmOH6}hyTPuWGDHmLbN!j51a9Y=qv)1St!eE=>fNPF*I_g-SIY^+$9`?| ze@|D&_SeC=LO|rJ%XMqZIBmu5w*DJ3K;3ciE&QGFuj_UGOT6vG?!_0f`e|+1pD0jQ zoy2UQB%sN~$qC>9K~>3fZ1}4q@T=5J&BbMgSif+jBlv4m5ZdhsGHdgH(gUD;T8@}I zN%unpMFcF+{sJ_G`g)l5A{5&2K9Wd$xy~BS>n#|0QU!dvBMYvgB>XG$<^WVq;ufSn&B({mE%{7;-Y5=m+>~t$+y%@+S(CSwq@UAodew!Dpt}pe>NU zT_=V^Z2?pmYG8On;>AoaXOU{F ztN*ioFG?yDhExEwfoN+q|Go)2=~2z$(4(>JJP(s}^seE()JjhBdfY!fn{Fw>GCef^ zTM<`tu}PqtT+26io$DXvhFv-T7l&h1T{O1FtEnd#qrxDY{5CRD+;vKLn!-naJcYYC zci*f*o?$z0QJ;`nb5PlKps9s#362YYqWj1eJYn%CnwO!=o_+k{5frodFBeUBan~womEJlW?;kE>mImSH>f5!$;{WqJJl= zj#6800^gV1w2CqZU80Io__EUlX@>@7xqeFt%Q*ViCUV~WnjNAFZSu*dJ$D-lv+Gb0 z4b4FVr8#s^VU41#a^js;QypHN-q;dxAcqyYuk82#-AWW-#y;`BbznQF7i$Sl-deo^ zvY|eCQc7Y3)SzlQ#8_!ZbJPMiS{9Hy)52@JzlQ#|!EG`&@7+bdKQ*{*bvk>yy0Xfm zlacn;YIiJ(M(vcXrAcW?!p6ielnXa}|Hi%TcdQJ0Sox0lkG6Cnh?#hmh)teY!$ln` z`YRlJe-J!5h_>o4ozrl9Sr>hVHly!}M;@{=$K$}lX`Ge|(0stF8w7>}>g)B;Gb?H&MF|wj7G!N;D`<|2Fv}~2D zQ#ah(B76`V5-$US2hdyL^K^A}71`HIwx(n%8(*INPDnlV@a;wwE@{;J zOi?#3vPLtu+sb-51altRQjnnS;(mCjY0IjoQmZ zGn9{ySyd-rh?#gdPSK$q-s7)#un(-kCWtYPP6fVxd~{l=EQdDJ>F1o-aOUm1N9DVp z-6x0Ke&@@MYPM?$9nKY|q5Gad_|3JVLe_n({ko-e^5Oo6yz%MVs!2}zZ+yhAm&+ES)0$6ME=ap z7HU593Xm$4Fb-i@O$RFG{ea@*L0$Ct9E+f&%Ja)OeKKKjg` zdYGu>y=9$IWoz$h)T z4OEI7^AXbx106{fwX6J3DSISzq*n=`KF8reytx^!oCCp9+bfY4md4F)4^_=g2oH z6Ha=Aqg0oz3CFZQo@~S;o*>?QT>n^4Ng8vwXozNNw+U6E2B@oxehg7_hGhrRzI@gn zI>lEu{x}k-+~*P;(pjG@5tygwe9a1HJ^SW9YYN)IiqBYcZa7*kbOljJ=>JZ8z0u5Y zVN3L7DXpZQ6VXz~=C1ua@wxAn)mx<3KcYA^6pq^UEl42IHNWiPz*+5%T{w1d?wS?u zXby$j7O}e(yRI*s&e3-$Z)5Aamzp0WJ|V+9mTppr2&535G7~2w>x{h{uM!ay(fqlc zSIPfE&3^kR-fhLLpLHU+5VRw9Rl*#k^U}67Sk6M^&1;s?90m^l2bTzm5iYxB}nmZYR-t(f9Y94v5{dmy~Mf(4nOb}Kh`t^7s~su z)~M ziT9p8WU~)BbopeEF)p$H?b#9`-zO#o(ipIWBfG!Wl7k~0GCJ(ws=sYmUt}(e0u27i zn}L?G6J8bl1yP=lJ9Wi_gWq^gyeo$vTb3rY9+~Z9ZWzB8e*OBjxad`D9@cok*V`Bk zvSE!Vn}JKs)6)~{8FsUsQQH~mdETq*_r1J1`pnXS@s~MR96Fj*w7%u)=k)oO#7axJ zQ0ULRy*PA$=S#b||6SV!sm;u1-pb;4Ic?#Lh3`S|p`LQIOm7V2VAe>}nN3c6b{*$~ zw#Cc>iWl~Yv{$6lFMB_5Zfj9Et%V7g2@|lpDt4c3+6os3J-RmqSxRxiPZ`B6n_t}2Zgw9`K`<~GbS?(d96aTv7Iix!wzL=Lf+!< zt;>S`j=0m>X>d31o8F6N`4kH@A+jI2%dZKHtJoh-R4wf>Mmm}y!^Vr;9K*3`sP4o; zDR)b};t`rjSX zmpddL7?-64h7fQXid(&6%h!!Q!}qMP`uh{4!y@l2ud4-d)gJI$Og~kQ=zF~T-^xMD zf1`^{7U~yu3n!_P?ksAMoIfvTVeY#$>d5@>w0*ZxG!%kiJz(xFVz>4G8m{vR_DnJI zURV8YDDWZIia;Cf|GuMf6=E$dhYq#qT+9+{f4oIQ2^k$=pJsYWXkSFr(FB52*q#JQ3)^Pe_rGQIVg@igDq^PmWZ7Dw6#Mt9_^VY3>gL_=0lhQRd z^qWl5A||A}Ks87aj+&J;)hPOSIT*djO~mtq28ol~T8axYnAoqiNa)tt1O872exl1y zE~KyO2!#iqTj<>eOEDi)^TmImUx;HwP$*_RJe-Ptr_$b=NB2CigZE0v})$0m0qxvvHiXfXvq>r z8|}+wfSl>D^AHj^X9^wfV8D)ck}M^|$b3_Ji>h-)b?5nzFZt&+37 zJcg(5&u^5M&LVWp7lER4(4k>*c-U&}G@Wvt6UgZW+Z9{b&*U=e`8A)#?}bAzB1Pn1 zB~}QjZ9d`&3t2c0`UwXo=!n=J=>bR&SKkd?@j8S&K^)=X-Og70N_TP?U2o5uOBJ5v z=4VKWwkDnwgks@xwXdQD^uJios|Vp_IlooKPBW(yjn%iIEvg>;2rJ>#CbpJC9f(Tq zle)*0`nY!L0-EjTUZVbtWPkYy^_c{-<6*tr*bPctsclB095xhCw9`*Hw2~SQ6)C0` z)f!1A13X||_EwK$rw02n3^X^I?V{UWR9o{JCuwKxRL5 zB$k(W{#RW*cA27>I`hHQg`G|%`T-IbG_H{GJ|HxRPfAuccfqf5%&p-O>mkuU>y8E@ zqQg~&?TD_z&alfM+%g|#nn))l-@mU;+(q5pIc92wLJ>$?kn@8E6jlY*z*wOOY$57e z*Q@|3!q&1++9_i}x!Ai_F>{@^4g2EyB&;>#bDp@NV0nNC4U^+ShgD~2Jd!C+Bh`}n z?wU1}9DD{v-55%t+=zAI-a<(3sG{nE_QE1ypRd1rk%G;jAgLfTk9`t@4y=ECgszR?NZo;jx-dPL1Vvt^h1asWb zsLDu3G9hwC_dETAZdp{dc`_e{A9>=at}yl@n;OA^0IUf9p(2ufw|yD-GpDfh7bK!- z&?*iSkgbQR{=S`(NAbaJMO*VbRK(%%Lvl}BBU6Fz)N$But>xacfvpIPu}?p*A$vvh zP)7_kh<03kce*>%av9Ox{Vh;fgy}x4UdfX^zQ^ zyl5az38cnxIGiUE@<&slvoGJdMmiS#0QH*KRN#FwFY21fNMMyN!l(=th403P4kITSh;6X0!{f05X1B8n3Fel84 z$V5kT{B=^|{rlg(e<#27@_+&c={~5UAu;3|mmqCL*nKxTM&&Otl)EbAi#sXM9ObQV=D^+j*-FBu%*Z*>!ndv-X9m%-8||9O>Arx$D_ z!%YNEQMG1q>!@11jew$Hp!cUM*p%@h6k^gKlL#NJfJm!-CM!to(Yxc( z2Dt{ezsJT&bEuTJKHd3re?h8&{s?}jbzA7yHa%kh*l;N3I6sm7b9>mND|X+K&r=Y@ zD=>4RgO;rciIamDn|T0Q38bXMrH+wxts!`$ikTP2SxCm61+7N$oxB&%a$L2?(tzVe)1Ln+#oQA>y z3ceZt6RYGrTiLP`%N_UKcx^zZF{j2*y!TQvV0p~tS==bzr>Wk`M+nyu5|8t2F>FDp5S5$N^GeO${0#5pUWn&X`kLxrHWeaQ;7J*xF=ad{L{k5=> zFDEG%&Q(S(>l>2E3@MM#j4(Q@HOPToJ{Tdy898bkAF6a$%ryJ0M>z{_z(3dwkqnBm zzE4Wk%&lp`r#+1#C1+4^RJl;hE}K&s9Knklgzt$T33*Mcm)} z%1)#+4uBaaM6Ve_r%#_I0%oeldcQ6TZr!BI29=3h)m70vp<0Px7Apx(wn4|RMk^s} z5EW$c!*@;!s?-55sG6gBLyc%0)_Hj!$`XJC%jY9Up|d@dH^Tsp6+Y%u6ePw>1PN?g za;PwuXR zr!Ann^Kb8O(YS~do;Qhyo@=kSyo$Wq0yE{{?Y0`*o4jjTg2KQ8iK`hEkP%X)iY<7| z@7$Q1?AGwK)>|u#Q-@JB-ztnHD*b4x?K$?$j^l5>$fGo=P$ziHKo6--kD{R+Fo&r( zux=#X3LmhSGiObJ!TwgNF~RJ=_X}68612QJVD_E%k5=h`Q+(#g`$sD)BQ z%zODS7{{xQ2Cm!Z1*-@HYBKKP;nWcAaM5R!xF7y#89C+slEDH8?Hsa z=eiV)PsO4Rk_oe&X#=*0L@a5y&^B6MIHUXLQf2cS$6i3$V)mAy99L*QmZCL+qQlZv)0IPQ zQO(5L&8a?mIexs#3eNj8r)Qq2?erdcXnrF7vFcY7CZEvsA{?Op@Tn}Fk1f3rx_EpH zDLfgsS{PR!ELfEV9gLEbKsddZLW-lbDLCvg>W6$$>@Y(j+ZaQo9edipx28X2ToC39 zeWNmQE9E3;*PI<~^IR*2ZM0%b`O2F#Ci=Ry&p(;Kr%%$@awW^`)n3*#xfXZ3$nXr0 zh^7(XTGCE^>a!)!=2!3%Yu}eypYjs~Dz?mu0XL@Jy+Oz$aR9Y21{nOCXy-U~t=k?BfmT){*VxX#!uN>5v0VWxziQke zs7=hiHkfOK%WOC*ruG@Nv$2!muzKQ%+ISav&f1v@+qohVd!laL8txu;UBV?;t+z$W zhOeIJ6@5O+3;ger{0)9h&m>UTiG!5c0SRA6n|-m;ZUO~a6lax#)4##%q8(v1&y5Ox zdIlpG?w;h36Q)ORpGvPfpLM2NnUtSDnMSM`bDrqYdSi=<=o9gx7k(kGBaMRO2n>k2 zY>T?5v=jC;Sd#4ZfjRW~iX9B-uUSaXukSp0*y4bgkcbxZcw#b`URi;$({dVSlsdn^ z03L5DZIWZ;(8c$555Bi{$pBtiSy@r54m6hZdQYinwZ~U-SmVW&C8WbbE}YypL7<7$ zC`V+*K(UEH_EV$~5G&9hj9hY|#Dg-Q$7n-R#oSiXHld$!^a7+LK&Dk0FnJM$$Khf7 z-WI40b)`SFq#{4kG96R6mO3X@bYn2;25QWUwwCpjnQUh5FEc67GNwmZ1e^`2q2Q@b zPi8y}-|BTAbz|doL|^o6>7dA&@e2nZ4_~l?iT=3YY&Qn`0&;q07W%g*-$D+SmK@5m zIaBBOdXp3L+aFPE0%2h%nh#{0bq#R&?_l1*`9T*EAQawN21&7n{Glz?JeyG`tUra# z&fHE1Sr9NhB7BLHAzNiHXM`JZB^fSz>ySaWv)q>v&_rzXlrH6h(O|S_E92(zMEb0& zMrG6rd8EV!6vFzrTy!+Z2|bczlI$7PqD6_9`5QF$w4Gzgd=xn;RVt&wcv`oPWVm$8fNL5R-_RmXox1qkTiq;IrU*LRlX9&3FUe&|V+b z)}eT&VAA5@I+{+REB`BFch~0k=T|XH>kA(vZv#5;UPo~9n4G(QT>KKnn-ugmJCMlJ zy=_CmbOnrpgUiXJV8|~N(SnciMY*jh*GxPiCvuhP^OZ$mldul==$xm!PFT)C1b+pl zu-6PdaXAH_`kZrjAynVFfXsf$%+h&|f*7CV-X5c2nsn-Q)Khz^cHgs(^@pq!Cz#+orS zhy*tt;*ubvx^2@t^Xt6i4uO$r+v10rPs4rx%K@0ebfnpvXdlWDdUUS&p%8PUvR!iP z7{>SN{pW@8X$ZH`1O~A9^~cK6Sh1=ePp{fe=%TF7PyB;1=mI7VzRN_qL`qz_kVtV$ zUi<#&lY&>TUWHWirNnD2STCBJ*^eYgf{)PniW+W0Qwr=;6(xYP5H!_7G-G}E1h@_8 z8-=Vp;grJemeVa-@pALwfnr3Is*vo<`XE72TUnCW#vBw!5Y@V#V~gH=TwoHO7wxLI z5#>p&dNKctJ@JS@s~i7T6#zkb>a&M!SUBhSq^Y84h&U;T{4lOt=0$hExoF0Z;VXYq zaEmJ9&8II@|HO+TcpN3+HMm{f)q2E_XSvzN!e_c z4}hzlo9GQ724LlWEs(3WMw>M@(FCr0u$=oUf-$z$#*=0;Tib-`h{&vn(+z6IBn1}@ zqW=wqQ+*O3HF|0tB%h;^@<{L4L{dV#3Dg|^0%2LdiGH`M-wxO<<1E6K z!MoEO8CMryMGFM+A|xyGSk%@}w~@-2w;kMk>+TTwntxu2!A-~ImU zA_DM_Xd+Q^*!A8}!@f%>ir%A|dtc<0aOe68_Iovs@Q#b$?VJL>0)*I3YQ%H<;WFjc z_Y2wak%J|#A-uy^2lpA;p~1<`~O&&xU++75({pMR*`AIH8Zrd@yJbm+m6Q_YY+@i3&W6E1vB3mQZ2 zn#K(d-@jii@Y;fl(95lXG!a*%0OtqT1;cjvRaRHykb$!X!ar*AHY9}iltAUc7=-8} zP(+$O+Ely+cUuJ*RKdH1s#>!~l1!-9n-o6n6%>r^(HTyO!&VNfm;1aBTY}ZhZG81c zHX3=eaI!gMwr)ObeL_N++>qG=mbX{=fnF{m!g?5~qRUXB!v4HXLDA+rsz6>t?!Lv< zbPHVrGJmlgp+?{+HH&+MH1sqt`CEQ)2=dzycrPV zeGG!?_6Wfe96kE5MK%5Pohd4#eaotd*oC~Ay-~~I{fj>Bscnpf-#&yfJ- z!bE>JM<;Hlh6A#ZPVoUtKGS*MHl3WOG8W%I{bA?<)ho>?HBLIw|Dn?6lZV7|%!|~X zZF`zzV0M9?c(j{tH2vr~7gb-6v8>HQgon z^Pgrn1ohkREK5aOsW?pu$wcVYzx(6_NeuOSP9#<5pyQ9{B!Fk@fa#i7*6(hyR$Y!| zAK4L2dCL%Wtjn7`TXZ)Zw%`^()7c^J$LaKCSH6bIdc+`+K7 z_fU?Eud9$XZ)nrm-rB1bI0Wg2k(>P7G##2>lqv6HKvE}B2Gtv!nXUdn^(VQ#9RBmT z_*h=~0^fNq%o)|3&UbWESR7PF1Kh;`N5a)D>llw1(y@NTOO8i5jz`%!#n0)f z86Eq^c6ie|LB=57$;`CeOBV!ADVvcK?u=*0_a>Y0hOwLxl{g{_NVHu^m(3&QafTWA zTqN2II{)&nHKN+43p0hf2^8|@@v`&iyia`-+SXGz5wPk*cHNi`>qW@z=20XGP({@o ziw@x+nN%(grCp6J%grD9Al|;mW1T{?duMTwc+nvzN6(fd-6JudHrTBi0OaXJa7rw@P=(XEHpUgLu8Ja~;RmEACv^)TPqLe6Q9xg2mj2vt zA0p)lVv>dPMBW4fr1(8t!E~Tdfn9_gkkg74g16{Y1b9=3nKVct2v_{pbAXz(E#}o@ zDBg))vfYZV%zTdlF&G!%e7wGkJEG`ISK?&Zx0Gj4`gOnSx#JEM4lEB7xoe zj+`nEDF}1Ere9?yzI5;Lg|giYG3yaKWb7+9u+@3!`IZMX?Vhtt<<4(#kw0(mDVv^pC><3_rdv|~O5XS9MH%PJaQ z>WqCJJeN+@iW=CYPo`8M7}4!Px1AIl`?^_ulS4N2e|UA5W1%199eJmJnmeEDT6G0c z!?WAML!^}iIT^@B-3X$uE(*=y1?*N#=^Pg-h8Tp2j`?%@dI@{ZsS}h7E^VOCX4wqu z&TE8TW3MzF|51&+e8cqK-CE~q-v~g6za6Wm86yWQDAd5R#R>ca)NqQOK5z5>aNh z$_Ry!RS6}Vtc-|K-p}3h|G&rkI*#A(csx9}`@XL4_5Ggb=lqO66%eIVeepT)5;NeK zwnYJ>q)U}f_t?otG8L9u^V*tCBaqN{g z3RCf+;Bl!^GS?)1To(l+(l_16H@i#t=9obbdw&8?cQx2@GN(ES2XZvOr0|kBd-=a` zZ_{cs@M6 zv`?PZ$+Gxq)R;TJec6zwc6gM6hREwx#lLeg=oM%Z;O}&nQas^mFGY?`$uo6N z&ijgYAtPWh-C9YmPy0$YmC^Z4%E(%pycv+Z%zCCn|lFu z{Xp)$>ofC`JK|E`TFynb|&;-jsN2bJ0i>(&E z4#37S`bV8Dhipm=)8s;e3&&SC7pupk!LyU!`x;bvLbM~{&K!_*x~Uu6CAaO5E`cQ3 z5My+LYnHj#y}in@^JC6cLj+j}c8tRz6o(s{9)-VH)z8 z5ejjO{;Pl@mr4~30<*!`3Aq^hJ{Ae$R(bnxJ#0HOnNsy22<=dhoyoDrkAWcmv$h1D zr`+<6R{R(6a$l22sJwi%mp{^7Kauor$l(u8l9v-hr^@&W9|WZa)$kaRK5?{+p#}BJ zv^am&4r~4>+ocL|Erpg-g3m>twHOFi%V-cBD~5*9+ad0SC%z{vHD_lyIpoC@nq@qK z-93{&FTBgX1$!y2Nx!~rDtHJa&VgaiOF|oupihXe48j1Z~D}jSVhe}>f!S# zJ)c$0-wnh%YYC)__ut z(=O=deLZt8=8lM<9*dD4^!MOx)|h-e?{g>U@mVTRM+^mSMOZBRLbT&=X-QyXVz+&w z_f+>u`R}Lv2?Nyz81h(K;3C|O-1%y0|Imj@;-`rjANQE-%syZZJERgD1X2&qi_Cui z9@cP@nX2-)F<&ISv3DOSw=YF#%4oiV|Lrd-?Dh}t-(t+BMy^lZlY%@?m6TnQEoMRo zDShHFcVcrFi)dyhI3bcq2qCE0a{w;a4l^C?3hnz;?5r(Hub%784EkJb?((GXO zY~bB0?V&6%D%<7p2YfNBE0i#{U1Hx8sz^d}TjXZ}yLExVUgB++w)KM6QmPLU&9!sN z=R$Tl2fva>&6=*&bS(aqM_Ga8QD*Y1`SKTN{exIrdN>!O&DUGLH^%Be-l<3#o?1pO z43L~V39%Xkg_{m0;FBI%d=BEIr|%ttN3Bg6Zu;h*8<}0xUeeF5=z(N7y^2{n({0e! zLAMPf^r!iG{G^0koFkuzorv$c#sR8bsewd+J&j}Juc zO31dO&g>#Ppq3VpI}?H0;B_(}juH7iLD0CQ-z#WnpaCZ*YsQ;}*{d$gaeo==)Byq# zbXZX9y@Wgqdq-nhfYK4&aQ{> z=)$xPUd}Ns*j2dc;rN0Xpm8C+)1&Nix?2_vDNivYMZ6nG{olMmdAeosAoeiEiUjaX zMn=XT6bm~EW4^t49V+%GSCjO0&O3%?UGcbh)qq{mVByaBZnG|m=Q6Yf!If+mFjH+9 z>Y0*1nlX(RrBm#&E5CF_O!-9P=uxN7{h>Hv}s}n<#moI^)xW zQlJM2M}R^cgge9m9o2LEsehh{v#?b_wJ^|pwrk4ax5Uwn*XnWEyx$H6HK^xg9Z<#} zJY8`YI7$ctIn16JCU8e=Z0%GZ>e=8sYLsMgWZp~K`|_!9ao%QedgttgQ-US$JXmuF zkw=!5di}cK_uG+zodh14wp8>Gi0RPU$>$T2*DxK4{`6H{!}cS`pTSLB`9 zxcurd+Wp83&@ND%f_Mz#B5g<&rcVGtl%ff`X6V{aTmAyg?$(6s9Ar6wuo?FJ#(+G2 zP)w96c*sB&SCzAcBuU69t6BbNSksQMh46(a#oDTk$DDk6IEknQM}ie+OQ8ERe!8C! z!JTb6gEIa0>yZ+4_j*c+UDFC?R?KglB-X=Ai>N8YqbU(>nVOQKnxhL^$CqTy9vUV1 z9VCe97zZ}gaXsay7H~XqzB|8^_(*H&naX`m6~v?EAEDGy|M7NGY@Unnm$`=ry-&-H z`uZ>ZV&b2yl(pYd$hCi&+wfXbYNRwuTHTZ}tUOA^MXvZ_){L((m_b_4;M@*4az1zsR`3@W zP~^WnAnl?Ke#|uZE{n$e_M%4(7^8n~)VGX-QQ>Q1h2XeR7;<)o*IXEl|wCXv%|4Jpd#h0sEDeoo3#1!4$r_j3y z3bn8Q{K*x9yZY+H%Hn^LVDctU~*%?e=5|pPa2Y~WcVSI`$ z2Fq_@0aijlT4N|7Z3vWSXQt{^NeXR3P=o&fYEazmgVs`gr+496aL%7p!xHfA+rYR5g}+)cclVqS!dVEW4S}C~0o(Dkd>V5i#S=?7}!S z=r6hY>D&i8<I_|-G1;lR!S}1D}bOs~5+bveiQyB1y?4=lWgIb^- zqek%TT~0ZI^;6|M4s#&U-nRJhX+`aSFZe=n6Q#z)8?k{ZtRstRSITD79XUl zRYPYdQvRjyp4-cz#7;UKK%XEFb%s-RTWZJns4>Y|1Hhv~S%972J47)aiyl|K{wqoa zP)NhOB)#@%p>`llnO%?C4}V%%dG+Y7Vq7+$wd_r^ynIb(g z7$!}ornKj3n;0mZH3|mVU*(qi&C3GdCn*>}j5OPCGS~Zx?b16{AEg&tpO>%J#;Rr` z5?GgC_o7@70$}_5lfe>15S|XZ{zGMZuE9g3x6T?!Y(%9T&*E#`X=M9W{aS7y`sQkV zy^FRSk$}p3ergzqf(g^GJOrZ!*6}L5x2BIo8xL~#Ih=WPj+y1jb;9u`O`slv9|C;P z9oB@EzIn$SKQ75YXt`}l8v-r;ekzm_lI6ad(c_Et+kauYx`$&gISI%NUw(OWhHTx~ zeyX1@V*1h$GgoM^fp3)G&%@+yYE<2+p1T+mva4&!`I<-}_XR^ru++J%V zp2REXvu3e$Z(cv8V6D7YnOsfn>?=j`4|Co}T{r{-M^2dIzO}mQ$7Mq*?RqG3?4le` zqW+IF(&>Ni!vV`qBJ$C3fqXlX)-1(iL{@*~Ed#mD%eslby3pE`bSqwuk>2wUnM8){ zi!b0ra3_IHT^0`qBbzdX+y@|v4>-L&T+Q!n`>Tk#90|kK+wBR5&J$RT825fN_6CD2 zH&CI|yU^g#TMB*{pz%c}s)G^mg(T9n_=>OZCz~?l)i_VZ!n1f{A{&(9l$7exTL&UhnG^qlHE6hfc z1CL|g&U+)2Lg7jYFbD|=u>6Jr3z>+(%3__VejD1nFK~k<8GG9n&+C^_59*WgOGO1* zqFi3e)m8r@-vT(7` zKsWQ6KqB$(kZC{8M91@1XvZ}vC%hX7o*w=EVV)#<20c8hj<)Dfs?&3*_noy5oKj&@ z)rrgsx7~vsAL-07E%sdPL1XG?g$*r1-NQq@K}HTeG5>+A8CJz4>kpz{uSUu>E>3~x ze^H1Dgx+_LPZ|p`<;`I1{@gyp?ZuZRVdQdw((L?mvO^w-xY869N_s}$yudU)%KR_z zCFt)X5};o?j^Xtzzlf$vIiD8Lk`}wq?!BR)oJx@!Tvj5aAs|Q`JCyJ)@t^wL##OCG zK&dxzR{p2>-on*Zt{7~@Wdm69e}K5VCY2#~rF6$%LuXG_Hz5_BK%CG%x#T1o*3|RMvN)uGSeZ$f zEu@3)Zc#nc5($Ygph4PBcK+C_atQW z<&@^U#BiTG)xlUxTzb*ym6#haW#(#qaJe1M?-u_T3QqpePC~suNQ)PG=p5_0;LnVl z!0kLvWEY<^SG{MfE&L!hgV8%75&NLpE@f@rcCnX7#@>$Y?Mg(~1OPIo<@}SqBsZ+I zbC3Poq97bzJ+!@iDEP!W9Q&cHB%j zaaRl{w_8^?MW|8|RSKh)REp+TqhDv>^6tRsm|zD&)pR#bA0tU4qnsW)+z}MB;En1` zb?!BCM8Ag<5iv=9-%Lax0Rorsh30jBPqINH>>iyqu>L@I2`#54kMG@}wn%|hJ>lk&$N^3^7}OYt2<|BQN5R34l(El@g=6^48BxUP&{EEU^Yzp8V>hn zAe#D~H8I#R@+9kr=g!4h5Rs!lJ@~uz%*IVx#r7@5J5>k&Irl=y#S|ZQvp#pEuK#K# z#B^9KOLjf|9V&>I-34tFcZg3vKW{Mdgf#stG)r-iExdAmB9OL6_Ds&g+-NAh>(di= zDM^T%V~VYDQ@#;lAXT?k=!&)#4>HxROxWCfydB|!?GOJ%=JC_DZgUDY*2eYkq7EE~ zod8wHU2w9KRej7?r#egIA&SgZN-+Ig$=NRUq>|CZ8FtyK`Um(2%M>Y$k`zcehDw4G z89B+EBv{~{b;*TLqG(LWr;*@rL2~1m3XyQB+?R+of}&l zOG|EZ7gTEu9?R&Bik~&(iB(m4)B|Bw*R=ROBu8M;XYq|uut(Yi7C!i=Osq~P{Vs@@ zQ(#R5mjt-Kg9QOnktPr9EiRTuCT#AA88c!rfj&Gj?+^pss zC&-=upk3@H{IZA7fgLyfFyv6oQ|~s3;671lN9NbBUM5wstrFSZeRxwXc;xS{wB%eb z&QhUZ$z7u+AQ0J%T!fL6#I?}XonkA}h@MYg`|Z=|e7iER=La_$Pbgn}%)0NtX*EjS-kv2|ed3bStc zQuH1xFuxIIqvf!Yyno!~Gx@#~Qc|kia@9@)V%@@EAicWr(i_~6g2`(7Y-JLKn=Q3T zlr5-n{W(d-nY+6TlMWvnI{{yPrk+U;I(rd1WjdBxwN9pZ?%ihDh?1}@>K4kEUnzRM zGe}&VgcELtkKeG(ia)}DMyQ;dV8zQq5z5Y=*=d6d3&za{2Z_u1)@~>NgIIA&J4tHq zXMqj9g`FY5n_a;W@IgzLuP^Y>o1!yH2vImx7vwF`Gh>i$6N&^(guM^uWNTO%p*w?) zT?GzS$iKv;$$#VrVO02q59bVEK5@qK+BE~O#|29=G@C-guBWB~`@WGhiR)gI7z5ew zlMW=oEDya!;LS--06ho2Dhj}#YXf(y!Y_37G}5a&9s7nJGnyybC-Y`P>tNc=s2}I1 zQ`l{Ut)S^B!6WFEx#4rKZ;b<~=d43}MWxc;5z<%io-hX8^#2R%5y#peQ_${_9$`?6 z+ruWqOc81<^PtV@IbwhOGWL;-;@05sBHSH9?{QR&V1v3Vd9)JgjNz=b$Mg@xvXEnj zq)KT#JPdqr<_Jd)-X&wJ5SnyOQIc?`@H7g}b`K!lGo83SHLVbOM3VX*Ex#e(+R1@L zaypWSYqx<6;EDPgiJqtDywosV$2l-sgvx=nxJgk}kue%e6B7`dop*Mk9MyFC}Bu(ySg`E-C2@*_1kNO!Hq8e7>gp~k}@Cc=>HH(tHQQcdrEfj%@ zoIApORQ(7zb)OOxk`qdUb7fiL){sGKShf&f2i3QKPMO?VY=0-qy#{%Ng)r?2!_Y0k z59Z%{t{v`-CI(@5Y2o7l-%*pfCvw)LL7O1ZVLma=8*{D@BvZcSi=_2eL%KnsTapu@ zbyv=L5u$kSc$ds7)r~*%WnDMGDGI>J48{$@06^i|#(`d5?dv*Nju{8do;{IS;AjNm zpxdkMpK-{gir`6g%6ExfaRwHD*T8->{sFhHDUk85e#=RwRRk&NQn_912M6cLo8%8M zV+Vj1ktHQ9{T%LtAIYS56C#Tr`c#9S?DK3HXZn+_f&s;oHzbDcAONU#%}VrETG4n`~F<_$;`0F*|Qlpe%bpjx10U-h~Cx^ z1V?7+^9iD~OB}%nFllk$75wm0#kqt5ki@LSUImdJV0+MGr`ac?6%e#Sw~8jjxDa5$hf;e11Y>ZvwpZAsPS^ zxzuBF{ig__HlwfOwPjDlY#*EozyrxlU!+j-fz~eS`Hsg^oPV@-I=0tQwNMHCEa1B? z?P~^I3Z3$CmZ<%GJSa?M?fSKw<$DCXWPdxY!u({Lkof~0_9noiP{q;EeWt!3)q@>9 z_?ExYX+T#bS;5{HSw94qu`0exR8&-$XkKi!Z5tQavXqzZK3K z<=$9ENa`yam?0Y!DO&T3E)vQ|otE7G!A>Gv&ei>w{5d+}m}%Y4jckIpVB|+Xi`_Fr z_DZNw20vfzpfPz^Y-CLU?`<3`EiHj)KJR*EAHTUUu6Wfk z;&-Yu#kM(7eGTuwvA+V$W~=wZ3%s9C54wxXYley0#-(QaYOAw)a@j(~C|O$wq40!S z2=SaB9FElf(7pY46}~)ZU;Y=5VnssA+Vvi|bpQ?`RY0`ac4qDGJx))Dw_CQ=Q!BrT zboVADQCqtzS+%k`3%D0|{nA&j#vsx){PO`ih)6>ZMSrdFJY(m^ zp#poL8ueQ5xg_qWcie|)@9>K9?8{J#`&~djE_R!{gO}%nCufCm=SeCGia4vVMk({S zc^%BlPde7BJQ{6|(F?xGQ8?zcu9crM{;&zTOD--&N4=Oc)vc|q85tQDf3mkx8=g3( z;p5|TbPrZ3~DfuV(kh0VV&NcNF{U3=|k z+DiC-hn(l-kquh8+$}rTGfG-sHF+-AH27J!_-8dl{Vv$}^^4-qMA{`L{>|UNJx`M) zr#E9xu^eTkrndVyW$^RE$Brc)sHnD?jShd?-o9D+u9L@z<7D}o*Fi-x%9eogC95~0 z_ZSNe+C}3o$-NtnFGx8<%5y1xVfmp5@jb@8_z4d`O-)TaCtH91Ad?3S1Q*1(dV~=i zueELC5Z3`-TkI7|$oiquVSUZR%^jZkN?9cN=fY5OadN<)wd9RRwTC+8j{RCs^bGX$ zvU74Ga2wp`&T+o&>PpTYmRKy~yy3dezF_4Jl}+Qr24BU!oFE0oc^UEx2#hI(CnqOw zEYDzefS72vkG~=#DgLIr87o^=qf&bN_U&B*cafG{{f^xcOc{?t4|QLTX1ZV_c1*+E z{K4jXAyQJ(6DLkUOe57EWZ!#f|Al#K7K!lia6;M_71e~OqF?XtGzg66=TW2#*Ld>E z$$hovrO%so(9FO4CF8xPDzYKxjW1KCtFo@nH!P3G>>n?F|EK6?qf>xOk`diwV}3q9 zw*eM0F|jxvD&M8`#AuU+ec!V|H z$X#>aeq49kz$P(4J=ZwF)&luUn8c~vVHUOPX4fi$U+BdNt9j_i2x^i&1XBZ~u|RXT z&u@y1goNs#bV9Kk%xoE^CQ6L-^z`r?1BzD9d4BzOWos?nIWI4XdfI_+XBwXASzG6D z$7F{N9q3OhuYCD3?FbvaR;gkyHK~E2p`o6hl2T(xgXPTHudOYA5jL7+?mAysiz`ih z`^JCc3w?%UsfFLjR)E9TDxC2H8oXGP{2>==;&C>Fe}n}HUZE3si|Q!&`@sTCXJ1Y z+>JbD&sgf2$>`C_y}oBoY3y?cML^DCzwPUmmNPT+GxMdY1r|-Ww&c&o#nQ|_gnQOj zzLuJryN}TWAK#;HoD`Ilo}D%4+OG2&Jq(x?+!IE4FqY>Xt*Rt$S~pgF5Y0pgYuk3q z^OM&hSub8xsg~uwaMvhM8sj_a{bE*N+rUO+SFiVto9Oo&bE` zufk|H_OR2J=iV4gCa7B@nF{(Gjykq)eYrFjG;sjY2MA7n|K4?~7#=w^kGORK)Su{N zSCezeC`id}FHjw-EGjQgpyW}rQO@mi=WNEuilcnGM3ZQhW@lk8DkmqmOjm|$91O|C zSf8qNdQnMT6QNyu5fvGzT!u$8{M|`A1#q*MqlI-m4moH6bK2nPW74uhg zmR5g#bh-*nBr!3u;_1`(CG2}kEMPZfhTKwqrf3IUU0poCvFYiTbajK`dm;+3%3lw8 zh+_0Bb;~_hZ9X*E!_wyUpI-&!RctOFZA0&5@Vs!c!Sj6FzBdE_@v*B>{lZv>{%=*q z`ktm&&v6UNbQ9N%>zFH&m>#kzxuTiL_~P;Hr}yhJYOZ^bVhdSi^Iv*J$ED)tVZHtL z59hTa5;8I<&thBX3GqMhm{VeMZMeBZh97|ogOH*Nd$@vGmi83=*Vs=LB^h>RI;f$} zZw=$~)bu7egqX0|X{>Zaawpq9JaM1for*?8iJqGDagSZKZyZ%QjFmRU(0ae#2c!d> zs+jFu8OmoVwcpl$Ax>cHD2vh6{BMka^4Y`*55d&F}#H6$ctV{>yiKU0PAb?}t{R1a6Xb0MNVFR%4a2I&i_ zxjumoHrsnkB(H|!KY7kfrs$FVD)_YfO14kESHaN_>NYly%i47d@ls1_UNFhGO(u01 zh3DuNCnsm)6VfM12eeD^7*z}S^naUcd-5m{4@uaX(da&(KT;OMEZ5RVD=2n`n3#wI z(Zu_Bq2<`H+{(&IX=$mth6XlUfYLM$~YM%T|R&E zee*jgC7M1+r%Gf0qPRP9uC-P^b789J2;!Mj9$yCJE0=n}8ds1J8YN96mB z!P%0)R;jWv_{#L(H{&R?j7jfjuD{2cdjBvsgdN9wip}a_6G-V<6wdmv0t~Rzx2Vnu zB<>0xg|#Zfy#~8aC8G_2JN;YbN7Wl&v~(0U0PCYMC6w!J)!t(UOpkCn-O zj?4_lxO<}%m4y3%uK=m&i?LyWvGa-Sw}!IyJKU3$b9AwRqGDKSy2@r%Tu?y8P+q;K zsJC#wJuWd3+P(I-Z$GarTV9%8SP<^;J<@U9z{JGF&@koRy?gi*IQB9!ObrcZQax*G z0teR(EPT?Nhj*+NeENN!B>G$U`GbGMo?8bEballXI{*Buo*)MYhrb zp(341iD7v2#Ao8i8qa5`nxGDf>X;oncP)jiOQ*ZQH;wam>JLP#AVflD@gry;%EMJ& zSkiv0Q|dXT*b4onxzS(Yj>ZUnzL-ROeeSK{zwl;0qpOH-4RV*A6gbTSv!)=xquL3Uzh(8B+7uxzinsW`1mtUshU*<&9&%w5*Jhf&xGL zd!^`2d%K{NloXz5Y^Z#E;nQORA|fIJ0&kI^*xFj{^$j(^%q=I4{JZJA&-%Z4t)Dy{ zDtekVeikud{yJLU%Es0o1;(D#s^FA4?=#RrL8q*uvZCXJ{q~&*rJ?eMcFjDu;I81n zfK_~~II2CPy4eSRHs-v~lodn}49&;kdyI8O1LMDe?;2E!d-hLIhzX7u?4n`&Tx=#6 z5D-vk@B$2_*g!(uFopt%N?2W4iDo+`Fjb!1W(DYYoQ?TkirIiA1q>D8me5`dC_?$; z8JypcN$LqCqOu)p8Fub|utTo$uGLeQs89%oUzMLa(3uEc#q`U;`E z%MB>q$9YBH(6IH3Sx7)g=f5J3o?ex+DPd*B12YsQNW$zHkLwio3QS4$V1LQP(PUs? zBcnk1hT4-(-^OSo%ovB3iHSdsWL!mLf?;#O(#1xBm#C__=thIJjPCot+5$z!=db0} z)zxr0c_)(k;@OEpMW4ko#q~^wP}XBC%qOzBw7fTJ?jYi}-dL-(pxR8%1|OmBSnJ!j z9s>ca+Lqc%oGqC|Er|Y1Gull>l`tXskqzhG*UA@WVT`|c%f=QKI(%nZ$i0JGa6O}L_*c{yv43lt5%{8Ib2xO&U0=V}XJuL9N}|G%{N4#@q$5QXZx?cw zH&F*L7Nb2ciA@kodU^aC3|&uKF_htqP*PTQ{}|RH$@mDH_Lkz7%(~dUJCBmGvN)Gd z`|hqfUWD3{g-0XKXmm%ZYNX3c9A2#Eq$DKaFC8%P;85ebQI`}HMC@{SbaL|WiUtFV z2})+olF;%nX8lLQ<}6a%*9@TK>_KXDz#8gLghQrpsvkbRZy& zVcLk}%6#P*4%_TY>6e(kEuS*Bwmy7jL!`B(C2Tslt+llwr*F;L%4*5EpxwuiBdef5 zNH+b;k+Q7*xy|m+#Z43^D!L+dHl>8hI5k-v>$T~!NKaZDgzy@FbgTcjtX-_c20+~Z z{OAk~RyKr(Fb)%a_9!N%3#P3#yBpBbE5B3f#Q+kT_oWnb&Q%Ge_xTr&+@RaHkGE6| zk2J;Z-5gnIX{^f(k}GTeSn*ro4owZm>8P=BpDOKbLY;PnnI5M6K5s%6LgVkY7xIrg%`ZQ?tfAC zjvHsJJtLW><@b~)2COF{YR}uu(${HM6?9i$y5R2q?10RiC>^%jvGax9ayx^*tzC`f zx)!|ibM3Wcvuae@EM4w8-X;h1mRoY9{*TeZf^kR2gNPa^-tQ@_Y ziJrdEvnua{!}8@GP@s}x&TSQOr#UD;)Nz|_Bo!CjQuNPE#M+gWUcR0uC?Ft3@DJn? zo8&4#iJcEC&(g>GC^M?6mai!wC$@gd%gYPDETpZi9b21mjDAqeJ{qUtDGAxWNj4%4z z8BUpHcmJxyUw4gq94d-FUN(J++G8dD1><`}^UL1coq^_tK)S8-SRAyt+ z_4x7Q$j^!O^>Vf`Pumqy=o{4^chN?8{H(5iVd6bT$G1YGIs#$~G<2U`TU0WrhlpH@17SY<&blPe*@8!$SQ|0PTP6a73yQYTi6Y*RO{pONt z&(eM3`<~y{+jhUKfAwYARz^d=63BcX>MVt?V>`eBGdw(O66=wKD{hN-jY`AHs(LD0 z2nGc1K6I?ve_5Z@swEn5{FW)e;bA#-?fYOw{;~VJyOdbPBV&W*-lfp)|M=xcN$9#W zeAig3pSRpJhogFXXOlu$R?1G2-zcnhO_eLWMwJNyb<)c02FOTg{w4Q2cN1?h1mNgJlMscBIwhW zJ7$!TlCpt>i_Y|u{rov`cdzB@rxBNxRrB1_oI-O975cv}dIEa%$w_N5eht)maDD>U z$;HLx+__kdOY`zC%gf7=Mg8fMVf>T%a^nTCFf1=$M)uG`L8+Q@V>!jZg2gGhvn7t# zXEu5oHhSd51bgYn^nbP%q|ojn@fy)CF#;o>-$DS03x| zJ=VNO&%`wK{d;C&VgkKDu?4}QuSMZNhQ8Zy*jxPWLTK9)Z?)|lM=jhCiz{*8gw!a!#8->yZ zdM)Nh^YjGN-t1uD@xc%kYu0j4NolFB|6=zruoML)T#Bl>mizyI1||UvS$r3F?_OIl-&p44uB@!A!75j6rLa8*#Z2o^ zkizx@Yvn_sir-ZB+5EdR7k|u>D}?`f^Nv0>==t?b#?eCyZ&1wrwlUZUrQ{JN!J^s< zBD?Rwzj!d~qBb){M|*p_bvzTQIdMUm!x?3_xlR>5!q&r@dCiT8W0%iXVb*yuL7#;~ zMuPiSU(veU6M6xKqXp9!|&Yd;818{bz6@6eid1Z00X;^6Ja&0rZT1TPY zXO~-q3K)rnmhUkFIQW|d-0*cszvZyw3cKlyJXae!{u{}g+=3P9L8g3GT^XmGMYJ)? zh0loIL4%NIX2LN$C4peI|9*DV@lUn;xPv}7aIWC@H5>5-IEu^ddV<0cc-g1{w5Gqn z2tpwq&6Mt3?L)RqTCDf`1SGfHo41P7S5C&RtLCSr=RA1u;6IeZmv1UTp|;sSuk*Wi zEZ5r7(#Y>E0bXkWaINp&y~E{fZJmKBjfKTS>a!#1$KEA&W(q!T5RuK>Cl`UOc)Vvg zVulbPa{ZSVdSg@HQPSl?iL}yb~N4KzE*wbo~RQCYp-ZkZJml#JowwqfRca_i{I+S=q$En-Yr zTqEIKXtzo>ur&;k*NS|qQbJtZn1e9YXDOv(#zghkysC)lZab|uH}IPbZCOVY>FLv_ z5Bo`f*PX62EuMZ<*1|1l`PATkzE?aABj*m=s9h+?g>ws>>Y5MK!1QA0X8`I zp*Xjs(?{B!g$iCiOKh`x!~3KuPEa>=1~|cQG&h9s`0M`uz;7Ao>A?$fTrFZb?jqwg zqw}v@rD2s~w`pYD(~i;v;NjJ^r=7no{A)LHu)i)ph$qSQe12WM!66pL;kC5)>psI7YtGW|8p_I{-P3v#J-aQQwHnQNOQ+9mMLIMm zZ(=sa$i!q|U{GXKrjnye%_igfKJOeVbgS-*ua{9H{fEH-cLWIRI~cCel-B60%Y@2q zT+L|1tSKT1p2P^ljf|4WY9oY81TbJ6tuwVdZy9ssd}B)I zG7VWa1$Mr`s~p_iR)`J3co9k_Sh!p$GI{2A0q3QCe^I*b6Ku1nq4H900y7Wv-{~{j zNP5G~NnAwN-u@fT@8njXW6Lnr^l8!fM| zGx_mPx?fg}teLA(g>=U1_r3~a;WjCAlokZomK)fY|0v45M?LQ!1|GbMD4e`=T!jYL zz!XNZ>^dMP0GRh>{7TE(5AR2j8eJwNkSM^*8y4={eRT2A)QzsVSrVK;-@diQmy$Py z_Q)MHA^@wNp8EePEFT}qDy&RXy zh@pacY@1QL+rH-RUE1lSX10*nhA$p*j2?l02CS0TPx0~}6lX~}rFvku)COIk9>;U4 z<6Ube4h~OM9xea)0Z+voPYuq;yi!Cr2^Epn;6XN7e_tH;V)r`CkCr*Y0Wql)OMjtXaV;tBvcKj}To?ICAexDK`wmIz&DWIb}K^z;%^p2ZoOnr5K0 z*r=qD(JtLsE)7Tg=ZleYr?e!dOg*^40udS`Qw4DmoyFNy3A&m?wWa|JgB6GgzPc)LJ@SOCeX5w zrV_m*Zg6*25$GrPe*N>%a%<<)#zK3Q*<{{0;=!q`MEDB-sx2?yaF^qB^Y<1DP+MDr zM*!npIjFeLB(SRL3Ji{nD;$)!@7$lBr&st86dZgFrith<)3v6Hf|sfVqf{97?Q1Ds z5FIEODlsz-4WCap;0V($pBvMDGbhqQRs3CP?Ea|}@;HprE`>O7DDiUU=-T(QT%-p} zEvipIk4E6%XZ^UN>xFNJ#qWie(U0|2vuM9CW?mpBB6{zM(gx6Y874D|4_mvs>V229 z$}~vUf=onOE}QjZ7IQAlxHZVM7*RjY#>Om}CMaGS?Z9^T-mBSPGm0;(I>)y7=OqaVL*<>wa`GJNIYUzH$ShqgGj!R zLy3&Y?ZCg&hKPu$nzq8Y_Uf8Ll!~}TV+h-+t5gRh?}TH0d5*uKw%tcfMC4!#90$`A zhxd6s;9wjAl2Ci?N@F~pSZQ(&X`-7$caIY8AQ4f6zMVuWF6Y-5SBe9+|KcKXW}z*_ z5@*P0-a+*K7|c5fnZCMD(h!!4HiB+Bo{+=@@6Y~$oSj5Oj{m*4-di{c3Ga=h7I~b1 zexY6l5!$}*@$U9bz|V&=QrZap7-nm-B z2Z@LbDgS$qGXL`)4{t3s(Ig)+!%$@z+$vmh4x#U;K`{5B-qi%fK$@Wp5mAY*ipm@4 zGrXn0;8ehaZ}rjvxk5@_m?u>jFJ%Aw>+FOpNwZGgV_kXHpT>pj*fIS_J-%13g3!=A zV7-HgXeco$2}La3IqX|HI(N%%<1{)b!xa@3StOli z=Erb<7l127-o72dCoP?t{GbcB{QrL4tN`5of4{?fWfBwof4(L9s7SaO|M#oG_}|6c zl0#6pVVMm&9#0sm)qRTHR_`56MZ(q@+lR3KZ;gI!PnSjIndj}fqATV<> zLhp?{ARyMa_8fc;py*_x0UROmGSGs)pH5zsZBh44->Vk10 z^|rO9awxQrlZ3dT-5Pw1vB~zFAcyrLBegF}nGzWS@Nks@Sq9~gk3b~ve}L#`;a%SNAbIjin0+RgFYnKtVMdC1Ji)8UKjv{^&D zIG*2@4|h4WkGh9ir#>e;oBQx#yjJ@Fsk=7fC!XMdZc{rBia#b{j>9)l8KB!*?UUr= zvjg_NF5+Lvdg`hKH+OS(8V(Z;b@fsUSB%GS!f<2(pwckai$zy>^~a2bNA`{#JHQ-! zc7q0Im*{qtR=V_uqQk`iOiJ-+-P?=cwpzd&urW?Og&Y(R&il4h4AL?52S4o6p zPbfM_u*`iu{P#tilA4+tURhT+4h|)s!ag42?81O{8;QX8GxsP-;4h*##ea4+ZaV{{ z_BSVSuZkyf7}X}M2hEQbzzO-GPRcyT(W6TkclikWIY+$IoSvHUS^PY()qjANwj^Nt z#I3Xanv z*!`=;A>#mcr8D8CheKw_dltA)ol4L5ve+#qxOPxXaJ|fZTt)T+2ybvix`I*zPXT;( zIa8(FEu&nI;L?7s7Nr9XfsloSFq3v**mc*hVXN7QbHlDk#u|F8$gF;GVd1P&@Gfd; zw-NcPSASt5jz0OU64sxvh)B`G9*mjV&C>I~RH9x5rj!xR$;Ac6Qd~yH4e&0`JyM~I z4GU{QCG7b5G)6S|bw3&~8ZaEM!IFiqI;aKVggji&hI5AB?%8H=aKaZ631U(wPHaN( z4WbVHwpjuHG`c@2=2Xm$AqGK}f@_29>FY<19O1mW{CeL(H}VPqM+P`}P*lpkG5%5+ zu~n2E)Dih7T<#~r?{@xG(@Z%^7>(g92igNq%jrHsg|SD9LQw7ZHCfN8J8l=o9jctM z)GagI%u%6FCY*Z z4oHLZdX2M~eJ?lXEQFv63V|g{zt-k}8Yq?Hi8fwXzNz_lvpv3kKLgwMy>^#_lL%a^TY z25sPBr~dESkyZWg_1m&^72xZYjzzkCA3o(W zRt_JBcztBmD(yXZ(D~0WJp%(EQ=IKT+q^4=B-!+SMet@EHTnzij1J|RwuVO8%P;_Z z3_V!k)}=CBT;qxG>6lEsU@~z}>Z^*1l2XcNFH9NSRDU9z-FWykN{?^?^Pi{vh)K21 zmnWk_*v0IZV?d=C9IlMm{-3oh^Ai+>SM`Fc`OYBE0I8>Q{#<=-OmRqQ@arm|7d0jD zM`fxaJf93nE+>Bj$^8}qHoh}{Z5<}hwJUE0k+gU_;c#W*M!Uq?Yw(1bRCnKy?Px2mW>^N;QWkLJr zcg&ArvZ3_;;c2p>KT&5>jw*a=2zvisk8^gQEO%32aV04=^(oB1_zRhHwKI$I@(|sG zIz-&)^_iFS?wD*M_~*#4>FPVDP|je|ceVB}K3;iA z7+CHJ341xmblw;$DK*3T2p#QyOi}HhI5*dKEswX{mteRZ9$pRRa$DpfH!CY{IvfXW zRws^}-6_h|p*Wu64E}wDvy5NAN>i4!Af5mh4_+{-=Ywz&}2!4xgk%B?Eto_pnB$1UJ z_VoigO(2dqjc~#sL`d&jMY`3+#=E;rkpHe2?y`$RnnNj!P+f8;6;lv)_&v8eC~jWj z=Ha0~SLO1hP*?va*pE^123@xQm;gf!Lr zZIB`~$GZLm?j%F=inIx9 z%^clj>idE+`Eg4>{ZRnGi4Vj{!s+;Vtm{K~y{2cP>Cl0lEerwoZj1zyfzugow=&U& zVt>rW9VaUxClcyvR6kQ)nXZ|oCsRW>sH=rSWghOu890lGd zWi2?@L_JPci$in z#vJI$xyMu^@=)uC(HwHYtH7dwo{nyGdV2c%_icn?i(kD94d?p=ZG9T#rVrqgEKS3uzD!CB6b87hwFqJ&D}Ak95Sq8EH3B9BwwZ4vO} zMIV$|7);|xC;T}mnD|QX#+A5bW0LTBN7);$v)bAL>jSo@WMmL@PPXrxqib}G9#6df zK-}&69qnhH8stahVNy&8dnNQ#$eGzeroZ=Uk6S&_2t7s?WbQ? zk;3>cQ*OKaG!4OTwl_&f5vMiokxBhwUS2$Ee_%QVZp0H1e>61-W$6pAZ!5?O7|I=~ z;Ayjd4!kxyJ0#y7na4eLgy+*5$7Swd!WJ2=Z8GV_L#E{oFjOt==V z7$xC~jXdqNqSa(b>Q7ZwRb@VP^#=xO9-f{cgCfaoP?kaE-anCTA0HA^?0NU{7$bn4aa7(TQ|D3yV?c za#2dVgRvVBu#G(njsBqbW2SPqY&P0{4$t7+vh5(2gSTMKkD{E zl3~lW!av(%b6dX#VwPdxUih%6l8mcd2y#g0PbGojXn?LRem?Q-wkfWn)iRmWrYd+c zzM5SqOp7m872y{8XCHaF)QHUum=SJ~eUnmxi0amV&6Mjr;HiVsUWV0fqqr2metr+Y zy@S+PtFbqdvYdtvmwxXi7E zH{@i)uK2%PfFc^g;c+||<)rj`W%8c=ie8rqwa-a5G|N7(f{$Dn@J!1Oe(-?Z(YX8% z>{Bso1e#Eon>&s5;fp<+5LpYbc7=GTqcL_Ev_vz*ym7FpD}9$OaWeq?+DoLy1uSJ- zfylG%6`Jv_@#Y}Y-@+tE&&8ZP9X`|RYx?o}&|y#3MHRUXG11aC$Z6e=0g>;3CD^ ziHJJQKDiIxm@ID=ZeYg^~6H)IZ5p3J<}a{k~wwzB8VI4I!+(^b8)EL{60)pTTob$g5<#hNSZ%Re4TeM%8|NVa~P??h39H(#5 zo&)j;ki6|F?i$@WP-um}bBKyAqY&nVVv3v6fJ}W5+gMWCtRVgMst8;;-#o9Qlvw%RT z89N+Urunp`sxR;X3nlOI|7q__*0Qmh7r4o;sA=`0+h#kO-nsy?JZnejjcu-w~O@* z8OpMe)WQh6mKPzJnVFnP499V>xWb567Kj$uu`J^Lqn@NQnF{+=t|6uNO#iw|oFLt# zHUA?EsO4PV_ly30UNvpUnK!mN9X@;*)eR~*mn%nmup)M_#ttRGkqb?a8EG^-WTfsC5- zz=$A;Sbdbma=p8)d{RUv%6W^A;dzi_S7u7)cM;ue&YR^`r1$UNzwc5=O9_(wmHO>w zfx{N(#}{iLXi z!Ld&X{4>pBPTf1UyhZkgaixt*BBp#mad4eSi}WNAgz<+tfT)qGmw3WHKy(5HK*GHQ zD-0%Jr;MR2F#*5cKNgC0fiSMGIX|Zm9N6?k>HuHs_seKMQ*spCzy-|o6b;R8%(*k% zEk3UquD@>dg#oIEgCjk#dUgrXUdDR#>CTNQ5w))6XEHpyt*D)&ta!pxP)UreH!|`Y zMD{euJgu$&i5L|v;pFI(cqYjOo4t0)-s{Tt?$+tG>{_0w%K#L?`>)3nvwoT8c{jkj zD**&J^t&%Q2bF}S2!W&##}_!(ZGV3~pCO#;y_(08 zA>tgu5e6})ht0nTr}&NV2ymF~_IAE*`VP4Zd>^sJ#US54xy=^&LlzV1nB@5wBk{3L zuHlK)JQzk$E5Uc~LRE`eB^tRHbtoW0UPErfqiSl+s8WEa`JqYxet`H5Jv6aj0A=AZ zChHr90>+>-a2ZhLwu3`aP$);>xW7kq1kqRCYtcUZ@%o#yM3T7~>00in{e5Blm;JnD zw3tov0Dd$8A%d(jF)>k6szpX1)=;6V>ux()%;*_4jrtG&6<8~wW38>N#mNBLCXbaW zxb*skm*Pt)XG|8j6O%szg6^N$^B1jH;7Lp_!1u%d^SuDe=UPa9UC)x5s^>dA|F5_V z|2_s1No_Z<9Qxh6>4@njLFa;ZT>mB}z;XcS+wfoCoA6uc{MWanv;czZ`uErW8S(M& zzph8LD*yFm2gK{YzWx6{{C_`;{|Aq~Vm(14c@0)@xJEX4T|5#>XU;tQGlWt4T&uW^ zTX%h%Le*;LSr5ZKVpJPk&c*KhbO>z~6%|nd0aPXo=1?1G{mOu7JSx3COTp2*6^)>nRg9f829JHN3`1DhLs zW(O*sRut?00yiNsxV^(%+uY+@87>?>F`I3nh+kh0=$K(T=?L@YL6+% zp!sx*Am_%z2?_~8jjtHKLRiH)eR+LRlQ)<%Qq+1^xjP;VSLzx}pV~d7goJVR$K_uY z7A_&9-U$l2*jM5S-7=_eFpwCB1LiP~SYxp6{ld{mrEGPs9uE&OWTi=fqVpYT;XFzV z4UNx;m`{wTFXf|2LS&utg3;%PUsqjtE>6Zh=5*>wVV4qcH0a2npk% zMXaM|bSi->ewa4o#dTd?K&t?Fi1|cRnsj3Biv}zYWL^!?Q%@bC?I+VSGDbXpJUW@< zD@yF1Jbd^=UB6T-G1Z7}_ZWT)|M6@jMfmd+tO^LT$|G`WVDmN$^F&ab+;wAxa0qZQHkhJ>>>k3e9=REGTebA09}w zNH1I#zJb`DL+DKE{oK3mvvjMw76 z-DMWDg^4yG_3!QJG0;7b&S~oDNdn*iD#RkFeDiKI6B}y7a)HkEDxFlc99A*Fe`}sZ*678EJy?%On74{CQo9vO5l!? z#(-P5bUdSAl?n6#D(-bzpdb)zg6c@!Q62=LkHUO|C<+Qu>!!)iNx=cCmsyE>9^?>i z8{z|`tE#FB6L|G8me$tm*cI76i5&#SO5+qL!*SDq_Wk~dt#gJ&E(iDTujG85pNh)i z%2bzruI1&+uRnn5e2C9R$=U*t(EwUZ;P8TinSWc5M_<31al8Qmj&cApA6Y1 z&g4Sa06+K{lKcPfN<#1II}EUBY6NhEGsSzM zGuK*m$f~L4nocL4qMhe@#7Y|KrsJL3xDc@M1W?8>v=fV=-@tZeD1s7LEEYGn?~QJ@ z@IqzSZjYV8h?@{q93>MJ{2af48SWvu6~8BFWa6T4yr!d=+9nTa0XY$}W7W7acyHhq zG)0M?QsM_-)?d|)=H9;~xS6iH#5!o(kUTH>h(#@RefRkm>w}wdxR27l1_kcElK z0AK<>?{>V7z*o?`=v)vpd<| z|4J);GWQr6xazf#&BVq^JoJce@HAA2Y>mpbdRPQArK%G##rFLtxmPSKBK3naMvYQwnGwZY792LI2D=Pfz zG^iwq;<~%NKv`pKt-c;{sJ(cX%#?Hg9uCo>KO40vEkv>+S$kA zl}?{do}NMgm(o3ee1JU=d&;MAeTS(~^;fwKb~}~lWtB!YY?pBzQC3rxVR<;ln7sj>iw$IL7Uym{7Gb|LsglB|#Rui^Y6Yl0du(kUH4{6<^FSzEX z$v|s808LNnGRb%XK@1v0AjhRh%B|l(60inZb?V;UA`lD+-R83FBpN9GU6C*`bAaUR z5qPp`SIKUEgLi_U@WC!NNa$g$8zvk61)Lrl@q4mCOkB~(`gjsFWg*NviM|v3_n{pZ z&nIDW%kj`2I=TZss{;Gm;yWhN_nI~o;Rn6dY(Y%bA1g6y`uI_msn7!-LtFmms}|ib z0!vQT!h~GR?bwYk6|FWuTf+`rgxVei4aDh`o`I+Cefyt7uDor?Z98xP0wa+6i`;|X z=vZt)&eGA>KTQUqhGML=St(vxB+4FLF^=;=j&z+B2uxZR>Fj=@9HUjYv9WP84h;4} zdei{M`ySjm`G!8ZmmTQ(CpU^-8zx4 zu^q%G=LHFM#DMK|1$6q+-Ik@GAZFy3VShu!mA=&M(U zgxSB*Bkhb!v+!v1I+qxzt7k)gK^X(@`}Lu&q3ri;sZ*yS(Y(?xKLT|U+#g>GrBSf) z&#CT?xd@QJgZp!li}33>q?h<##FgPy1fh;4;o&SXnR0PiLLsGc=Lh>mKOcYIPyuGgE%JH`mFv2KEylc zGCLzE*%~b&K}-QVhtp7k6PwcQYqvu53`IJxi0yuzsFOKp-=ynB=_BxVW|?m6h*Q9W z2K=fM^R**d=ujm(WXRx@+kNo5|K=m;97|+T3-R&c1HoxCV_pRX&gJpepovZ#py0!U zP>^^kz@tjptsCsjtpefiRuFJ|9*S*kZAIO3=kOL%VI259MDUg>^8;bq`@i2PxP5!8 zs)Z7He zRkeM?CoPGCcehS~3PKfdF=Z~83~=55MEKqbWc@CY8OR}|glCtU_H%Q;tjhz(HfXgO zXpl}XKNYL=yATloG))P2^uNd7X0z?i=cj>vIi9!vdJXe6lxeGGt4lw)Qn8OI1g7e= zpYU4~zg`$2a_*t+L8?MHJQgg=0&~9j;)eCLU*$Xn9~v9w(8bVf-m+!xTfR->Y6M;8XI+>kaDjIsv7l_nl|#f`UV;PiI*zLqFRsn9>W zxs@X;RB6#If?!VVIazC<0&`r8@Jqt@d0~-eBt^M*EvwuADQVeA76|>^ekY!B`7KB@h*^td>JP6 znA9B>$NT7E;o{;#C38yaXi(rGTpt;k7-Pz(x`t7gjFu3&5Fd2wS48Ds$cp-Y=;?#kS|bn_@J z2AxPml#xc6K*_Ez^7P=A6kXoxQS68(y)FcaUk z8bZf??%O>+^nF|h?_z$a7`Nom^a9688=EoUgMnaISrvSGyf-`{1hk+1DB1BAp}NMtt}HaL z$n!viZr`=_;@;ASrT`D27a4>Gq&vK@yDa>e?IuwxJ5LNjCAYmrgzgi7l_vAiGL(9t z!Uq?rwKb0?&7&xidrVr^hn)Sd#Vq$I()wO$LE>)mB zE8d+)Vb=l7k(6|m6-XcJJ`(FwbSATO(SVpNu)(|P@jjoVfvMNWf$%AU^NU`pxNlo% z{V*;ZCkJHub{zs?c?hI(o^zap2ZqaAX*!e_Lk-P{U6azgs7Qs+2oVejObAfyTV6Ec z0fQ7qtEa`&1})$TGN7KXTb#KPXjyjLf^)^Jo#`PVt{x@}3k$t|ds_szC(CVrd59ci z)hqjdSB8)_8ERoNd81Uc9TY?#oswI=TQx*h9#F%RY@Dy^B9YiLPLq#n-JDm%duGAV zH0Qx5LZ%yxnURRrqY6ssM25MHixmqw;~SYtOt2S;#Nh;R0E-ReWglpU(0k*Vpw|XJ zhO0{W;NIQfQM{!O=-;(xJgAPSwr#uE_4+UsV?WLTlt;6jW;JQss=yiX%103EGC;AD ze}WU4dwmnan5?mfoe4l1EEV|BmV>_M0JC+gnZ&R{TW0kXKP9?^Xb%xHKt$0+SXf#4AQuxA37#MlmneWPXvaSsE7;#r z6pe1|#@4oSbnb{^%I)ZW!n)t!q~BXP7FE%f*aU6uvo&Ig2NE%ARUoA(xC$-}R^fY^ z&|~qDvYsLeLFN(XrJ<4bA)g=z3sb=6Ld89D-Ujq*UoF+(DekO zX8g*YqznXSxcLz)r)7PKlGs)x=LQpFmm~q7)}3W3n21>(Ed@0YI=dNMy9{Mcb)RvoSDKPX$Bg5PNO$ z3*b8IxNGfLB^o!>%w%ityZqtSnY?@tMf7-fK7NFDnr)(cIlck~YC~!dAiDSz?&qj< zkikk2dGZ-L57*phkBf*PT0?Xvh+UsO+K_&5_ENEg0a99!R$;}Fk(ZvPZrdaGS(tr8 z(;O40#bvRe`}ZHG$eQRvIM}L*Y)KG)HbrJ!Gp#;Mu8Y{F+H7wps*!|#W}dRX@)TOc-=EH-PlAqzm^dS&H%G1UAcga9 zs+fCJPvFcbknifYdFZ97;GrI|#=AX+4v!F#=%FgGal3vkUG#eTd*eIRZMYjoI@Opy>w!BB=O5Bf%2 zlW7ES34OwNZZ`#r1o_?B**L$_TwJ#TiG`TJ+aRh7BfIWpJ|41Djp_>!iFUxSMU`Q{ zeNEthQ01R2j!GMaLyVAV71%y>iZyTVNNRxHaGKESSc1JGgu3>K8~ptIQc|8kWY7ya zd`=9?I(qu_2NZw3m`V!^%^9z2<5YmGFa9|8jWhEon_I!B=!utLIOGQ}U!K+D$)W>g zHhuswF3^CoB4Q&K{R8*U))gm)8zp^6D~hpq<;c3HP7$_-d}>hz)*z+9l~%11kzlpq$tk-Tr@9$^0!jP7M9U_LEYjqKZx=Mc{NHoI6N%u?Nm0t zUCK__j6*uw73+5?c|`KaEo9}g>~xLvbm;p4tkOZ&^d5kV|1eMZIOO3)Nwlz1w*MgJ}SB*!au9-$uCrR%b26>g0X4^hH~~4SJxbq4Mwi>LSll zn3LmzP+k?zyWAdA_~uPcnIMeqpx|^G6>Wo#P(?+hTjuGh6UT3xQ48g4Fu9BJ7&VhN z$9QjX!JP~Kn`4QSB3AUm&u=5U8bK(byu0J~d%H?N-eUB?Q7Jbj-(c1Enk?N~e2nbU zmjeaqdod#=#PllTb=;h_jhvr7eEl@IQh~>bB|h& z0IokEguESk;OHN}ck7qN#t`gz;Gxmw*mr*-4Dp!uKIwiqvy<=hoFk$xW4sda9; zriO+G$JIq64Nh8OuO3g+aDsgF`>B6OZ=ne$n)Ny~x>Kw*Rihh;N>Bq%ucu>$_z!K}B#BXd zO3Rv-!Plpmru7{nRY+q$kgfnco*;9C+JH2`4`L=R+7G3m-jx9dJG)}|p6giU<`(VB z>m;q3ZU_qmn`27U~Ky!s0mKaS1O&3 zW@fYq?#2TCtapz7Y`Qd%OfACNIR;L z9t6YB1l7KKmsonK^yk?y%!2Vh`2eI;RGjK@AdvV!-NK+_t|%KBu_|0Rj%l8Zj12Nm z0P>KHy3M{%ei#w)7n6i_5JYan-C{WW#0`?|O;YAM57n!=dBQH<53Ao*ubXXNvq~ED z7h9u4Y0`R9oaD@gl@q|bg^o!V(0XqbfI`NN_N0h4`w2$=`r zB-Jgv%a4(z!o#Nbm2G8B&8=%*r_Y`>zp=;jkPz%bdbxg!@*O;Q5XB?dB^q`S^$=CS zBR?-fnaew2>NE!cK}uSh_7iqO=us3BgEK0QYAhK$<1X)@JgGyv+k`6k_k*%K>U4{Y zG#E8`awDl7M0!KcA-Ye%Vq+m$9x+AW8j<@7;eV&~(Y)xG7~pWnbr$F6?L;5@Uh$Ch z$a%+z>heB$B}{MiVzn6@^1?{i^APtBf# z@cnSoYz@_ zDJc@gk1fX48@&-{e0<8n!?jIJ_Vss8QT555qCCG^`J*O1BjemcL(lm5IOtUDQMa?R zV=R4{o$U+^fz{|{0;7RFX(-+;A>}Drgy2AUfm2dkL1=29CfvgSJHrmm=5+d_zAjNCQCJ4$>*s^vLZP z+DqG~?Dv9CUOqPIQ5=S~QB6z);UQ?>mTzey8eRE^c&~48VZbTu=fHfLd{~CuubF=9 z&DPe|Pdm1ge(rSotes{B*sLGbC7Oxqja5Rj^qq+M{(f|IOWZ}ccUro-?yqi5PfvT3 ztwHch>(f7sj;^CC*tB``HusC2u@Xm)tYR^=gM$N{4TzNhXo^M$1{BF~H~<;@G&6pK z>0%msX;@uxL@QkPi3!q>dOb?omw4Lmqm?ATUY4S1TB#R%i6@0uz?XNZKCKSx;R!nZ zAeO|{eg3S$(FH~vwJ6^CNiy03WM6k{o_4O+ourd6Lr7tSf!voa=SAC(U+=Ks)o>su z)e=zB7=n)MpP=osCzE1gVv35ScqcraTp)44%gWYzkKbw4AxQ=0-K6mgY!YR^vfL4J-B{P@u$>QC4b+$#SW)-E|4;>>rE#IZTMBmBb>N>x)6~PCQgiMPE_4nPt1S$=nwmqSqq@4fgbE;l`Zo|<)Aurxk_36bU1TKT;5(*R(+93JX>O_5y_H8?&|CDT#rAHDo9^F zMH=(;@arF$A4gE{G?>SJKL1nwwBt2foyz!trf9^cYOGKt_w>%tn&ec^krpnURwr*|bE8o6%v$d6l47+z@;+zo< z2JR=Go&8}^4kPiZDcsnr-*mpkr{c*3nx1`JuKuETB^)EJdc6S%#=ku^<0Uf(?7;2#aBeY^> z#n6_eX4UuhKAm!Lckd|aGDNl)vix#ZuoQhv;xc_~fD`hBK@ZIigKO8W0inYec5AzL zY<|;(ALya6j9TZ=B(UBMG^aTqVvIO|PJgc_$5j+WVnu|~Ql{_SyKne#-ZH97`s(WO z%iF!fh==7B97h?b`a-^*j)Ld-U+B}UqaC1iYO@3Fv+k&=7*EO9% zF-8;X-PhXs6Unv82pUw=8)`U0-QJIeFE0$R!hdoXMitf1&*SvX)>~OyQ@W#tyXO!m zW~UP~3Sken@8rLJJu4B7`hwDZ+uL(c&tGs@c!Wxw_2HSMNt!=U+4UOjUJ5@ap5kpX zf|`Tg5xA*zx4h4)M}X$|#6$qE7K%+|VfuSCTk;tkM}yhWXuV!3wGZDx6BQFvY^S)i zTrm_U2w-V2NA{i$hzYSGKG(HX&%qN2bPSBEUphMp-4c!!3?9_<+OdEVg!xOgoqr}( zunLRYv@yJ#>+n$Sp0cH{l>E~af?X(e^un47Of0H9O)aV=|3F0G{e1!jDBxIITiY^J z?}U6HG$7yv{1alhZRK+~9@p!iq0J}_WhgTA`8{XJIG_=L>KYP$_c7~#{r4|*h8%A& z$y$|xK&P*#M@?A5U%Z%H)z{V41)@0HwH!>;V8*$7X|;s*n6xI51vOmWdjzLwRz!fb zUe?M>_&_#4s1(t_06xUH5FaluKv;9i4lEu&ckW)*;i}Vh%;M>o?3BIr4V>Q6mBv## zaQ>>8SAJL*%8&;z6duZ5#WcZY%4EPhYJK$`1F)hyOw7m%c2A6t^XzSyUah@zDJfWw zPiI<%UiRAZqv|%mt~VJAHXgqn%3wohY)16+K#q?bIf6Q!IC$LJ@HPO9m0TKlj;%!I zNDfEXhfawz9CN>Z!Ku<)7uUCb#m3IAyQe4Z5(m{jEERu;N}qSK^vV>oS3-79&N5Ka z--}JxDUS#5l=cs0xYizZQahM#YrLR=@E@l@Md1`BiGrIflR`Imh{HcO;_YgujyhYfKm0-~zBFoLRH+#2fa?oJe*FjCXfYQVch zCgNT~5cfNn{TH+<*;UZtKm?fh!3YzKB9?XZI_(^=?k9}i0Jj-DQ6igV7hYdqL-0Y= zf;2$JYccH(eI-7EwO|q`5d@JcBiRzzX}iYI2E zuFolPmN#Ji*ovygyWDc5-y_V+YZ$-YR%wi4*a%SpJV47O3IycMh|2$aEBt%B<6cQ4G zj|K$Tg^1AxZf*ZaRNui+CZ4*sy0rS z0MX9N&wugqrJXY|LINwWK-krrf@?}yZvnucqqqqG2OKX_ujFlhi>#++U~q6Q5RynKA`4NXhpQOp)-^K5khnp*O^4bQ7fYXB}0G)bJE1rdi0#|BaKzKzIOlm zY69a+tR~4inoLZr0#{9;0=t9><$Umx;FdxEye?#AdX4V?)~zksdJUr)8!n+y!?2bf zN*fp;BI0A=20f-5b*Y)3AfiOD^X}WX57>k5W0)NAJ&U^X_M1)iQC(&h7WmTyzJhFI zX*53Ws$PQa>z}z2kTzQ$HbpT63?p%Q0Gga^;aFH0Gi9=UadER~n2aritP z4teqwQ#j~Pa(AhRD`m>O*`Q>BMa$B>sw~+ zgrwW0+x{$v-Rts$iDTecLHQqkwNYrZtVM}k$Zl>b$y(8IahVT7R9vx( zZZq$zsavTjDV?=-D7f`ptVpB;ODCs~bLWgouZEv0o-V=S8;k}1;Jm=<0`&!ACe0@d zhXnk#>UxcD5EKC-0{XXc79^40(h@a2%I?)q1@pM4K}yB9FQK&|-BRkm8itn&el#|a z@PzyRJ$ZS6=rJG(3WTGB{gWFOJLu8gai7ybjK^jj1Xn!GmQ_CD7m`yf_{D{{h4hPSYw@OVH-#%+zBmCHMQu`Q~h$vqj25d%18(zQ0 z>L-<0+25OWsekSk>GY$KM&pMuC-CWb{|@%{ZV{7cd&r2ORC;qSIu2TL7hV1SS7VRZ4PSfCYE z0l>~wHXTq>QXaF<($gK#2|w1}L8{m{i2?)iJ3mgV>9Ko}M}s`Btx|?Lad+w_?~oqAo8k_EJ&`MDI5~1pEU|==S#ZxG zi}8{iKoq{p$jC1!AS6P&`vVU^2nneHj~Eo02(DVn-fR=nRP|&c9P=#8#X5Yd!C2*->$d#fB*C4`-1oz z|M_}$xMeznbXgSUblH0Lws)>?LyTy|iLI-<6WELg%Onkqhl4g)c;_xsMOIL?*q9`avbDu39Y?0NgE UlKCv04oRfbC(e;Gj+xy2Us281)c^nh diff --git a/docs/proofs.nb b/docs/proofs.nb index e66cf08..5563a30 100644 --- a/docs/proofs.nb +++ b/docs/proofs.nb @@ -10,10 +10,10 @@ NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 158, 7] -NotebookDataLength[ 2025347, 36433] -NotebookOptionsPosition[ 2011543, 36190] -NotebookOutlinePosition[ 2012189, 36211] -CellTagsIndexPosition[ 2012146, 36208] +NotebookDataLength[ 3983505, 69577] +NotebookOptionsPosition[ 3967859, 69304] +NotebookOutlinePosition[ 3968505, 69325] +CellTagsIndexPosition[ 3968462, 69322] WindowFrame->Normal*) (* Beginning of Notebook Content *) @@ -3965,6 +3965,22 @@ zsfQw86J8zE0GGkV+djABUfO0zAt1ZrzNBw5873I01zVczLYz0XIVzYPkL+z "Out[158]=",ExpressionUUID->"d436f95d-f3bb-427e-bd89-741f2e39662a"] }, Open ]], +Cell[BoxData[{ + RowBox[{ + RowBox[{"numContours", "=", "10"}], ";"}], "\[IndentingNewLine]", + RowBox[{ + RowBox[{"colorFunction", "=", + RowBox[{"ColorData", "[", + RowBox[{"{", + RowBox[{"\"\\"", ",", + RowBox[{"{", + RowBox[{"0", ",", "1"}], "}"}]}], "}"}], "]"}]}], ";"}]}], "Input", + CellChangeTimes->{{3.888056772384328*^9, 3.888056779046125*^9}, { + 3.888056833092367*^9, 3.888056844352858*^9}, {3.888056886787979*^9, + 3.888056887010044*^9}, {3.8880569637323093`*^9, 3.888056988990262*^9}}, + CellLabel-> + "In[957]:=",ExpressionUUID->"1e78ae71-60b0-46dd-b1c1-bf9d529b7a0d"], + Cell[CellGroupData[{ Cell[BoxData[{ @@ -3984,7 +4000,7 @@ Cell[BoxData[{ RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", "0", ",", "1"}], "}"}], ",", - RowBox[{"Contours", "->", "10"}], ",", + RowBox[{"Contours", "->", "numContours"}], ",", RowBox[{"ContourShading", "->", "Automatic"}], ",", RowBox[{"ColorFunction", "->", "GrayLevel"}], ",", RowBox[{"Frame", "->", "False"}], ",", @@ -3993,12 +4009,14 @@ Cell[BoxData[{ RowBox[{"{", RowBox[{"x", ",", "y"}], "}"}]}], ",", RowBox[{"ContourShading", "->", "Automatic"}], ",", - RowBox[{"ColorFunction", "->", "GrayLevel"}], ",", + RowBox[{"ColorFunction", "->", "colorFunction"}], ",", + RowBox[{"ColorFunctionScaling", "->", "False"}], ",", RowBox[{"Frame", "->", "False"}], ",", RowBox[{"Axes", "->", "True"}], ",", RowBox[{"AxesLabel", "->", RowBox[{"{", - RowBox[{"w", ",", "x"}], "}"}]}]}], "]"}]}], + RowBox[{"w", ",", "x"}], "}"}]}], ",", + RowBox[{"PlotRange", "->", "All"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"notp1", "=", @@ -4026,7 +4044,22 @@ Cell[BoxData[{ RowBox[{"AxesLabel", "->", RowBox[{"{", RowBox[{"x", ",", "y"}], "}"}]}], ",", - RowBox[{"PlotLegends", "->", "Automatic"}]}], "]"}]}], + RowBox[{"PlotLegends", "->", + RowBox[{"BarLegend", "[", + RowBox[{ + RowBox[{"{", + RowBox[{"Automatic", ",", + RowBox[{"{", + RowBox[{"0", ",", "1"}], "}"}]}], "}"}], ",", "numContours"}], + "]"}]}], ",", + RowBox[{"ColorFunction", "->", + RowBox[{"ColorData", "[", + RowBox[{"{", + RowBox[{"\"\\"", ",", + RowBox[{"{", + RowBox[{"0", ",", "1"}], "}"}]}], "}"}], "]"}]}], ",", + RowBox[{"ColorFunctionScaling", "->", "False"}], ",", + RowBox[{"PlotRange", "->", "All"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"legend", "=", @@ -4043,14 +4076,16 @@ Cell[BoxData[{ RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", "0", ",", "1"}], "}"}], ",", - RowBox[{"Contours", "->", "15"}], ",", + RowBox[{"Contours", "->", "numContours"}], ",", RowBox[{"ContourShading", "->", "Automatic"}], ",", - RowBox[{"ColorFunction", "->", "GrayLevel"}], ",", + RowBox[{"ColorFunction", "->", "colorFunction"}], ",", + RowBox[{"ColorFunctionScaling", "->", "False"}], ",", RowBox[{"Frame", "->", "False"}], ",", RowBox[{"Axes", "->", "True"}], ",", RowBox[{"AxesLabel", "->", RowBox[{"{", - RowBox[{"x", ",", "y"}], "}"}]}]}], "]"}]}], + RowBox[{"x", ",", "y"}], "}"}]}], ",", + RowBox[{"PlotRange", "->", "All"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"notp2", "=", @@ -4084,9 +4119,13 @@ Cell[BoxData[{ 3.887950589422558*^9}, {3.887950645050432*^9, 3.887950681720224*^9}, { 3.887950834391054*^9, 3.887950841123344*^9}, {3.887950900131435*^9, 3.887950998709052*^9}, {3.88795103699515*^9, 3.887951042870414*^9}, { - 3.887953793761869*^9, 3.887953806747262*^9}}, + 3.887953793761869*^9, 3.887953806747262*^9}, {3.8880566526281567`*^9, + 3.8880566759468517`*^9}, {3.8880567326783237`*^9, 3.888056734478359*^9}, { + 3.88805678287642*^9, 3.8880567927801123`*^9}, {3.888056848680155*^9, + 3.888056869795247*^9}, {3.8880572773449802`*^9, 3.888057293609293*^9}, { + 3.888060572100958*^9, 3.888060592755354*^9}}, CellLabel-> - "In[711]:=",ExpressionUUID->"4090d351-b333-4716-9ccb-32b913b90e5c"], + "In[1021]:=",ExpressionUUID->"4090d351-b333-4716-9ccb-32b913b90e5c"], Cell[BoxData[ TemplateBox[{ @@ -4678,7 +4717,7 @@ mq59L8WbWBfGzTwYJ+OmX8bBvJgn42TcjINxXfXE1TeveWWS18wbPFz24N3v P/tQ4ueBrcdPOv+9RI/bxXVjHVln1l3iCXOnV+53Qpf7f34bk/A= "], {{{ EdgeForm[], - GrayLevel[0.], + GrayLevel[0.006032273524050338], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJwtVEtIlGEU/SyTmvGfxz/OP2FUBD00aNViRkehkhoLtBDbVJCJhkLpxhbO @@ -4718,7 +4757,7 @@ g97q/9z7gnbUd/Mc/Zqif9UgvAbdn5FyuLbv9E3iZ/K6c80/1LSjTm8eo9bb Rc3Sd+gvd/8BXU2BTg== "]]}]}, { EdgeForm[], - GrayLevel[0.13052392356240913`], + GrayLevel[0.135], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNV1tsVFUUPW1vZ9rpdNrembkjiS01QY3xhW8TjfgGCgUqH+CT9CFPrUhR @@ -4800,7 +4839,7 @@ zbhWcTvldybb4+iTsd9aLz7H0PcRv7fM828H8RfGnv2q0c3oU7FrrRyUyyWx n6p/mP5lHZX+9yimYv8PE1MoxA== "]]}]}, { EdgeForm[], - GrayLevel[0.22160991415562525`], + GrayLevel[0.225], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmHuQ1WUZx3/u5dz2LGfPOfs7hxS8FaJjE8lNUwJCrNEwx0VRZ4RNCEN2 @@ -4920,7 +4959,7 @@ LNOOpl3tPwNVhY8= PolygonBox[{{6053, 1661, 4487, 3916, 6054}, {6085, 4461, 3482, 1651, 5460}}]}]}, { EdgeForm[], - GrayLevel[0.31269590474884135`], + GrayLevel[0.315], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmXlw1dUVx3+akLyXlwDJ+/1+QUABQVCWEEAluLTY0RkR1Fa0dVDH1hmD @@ -5042,7 +5081,7 @@ PgZ+zbNe18zQ7PgPn2p/Mg== "]], PolygonBox[{{6087, 4362, 3530, 2138, 5813}}]}]}, { EdgeForm[], - GrayLevel[0.40378189534205744`], + GrayLevel[0.40499999999999997`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmXm0V1UVx+8b7u/3pt/7Pe67v4tZGWAuh0IZnMERNS1UQCUVNMUnmvBE @@ -5200,7 +5239,7 @@ vuRTp8Rvfr39dcemRs455Z7u05OsXVjh2UY53wR9b+xZTDOaZrX/Ack+LfA= 3486, 3968, 6059}, {5468, 3223, 3915, 4552, 6089}, {6060, 3970, 3489, 1657, 5466}}]}]}, { EdgeForm[], - GrayLevel[0.4948678859352736], + GrayLevel[0.495], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmgmUVdWVhm+9gqpXBVVF3XffKyUiLdoxiZq0cYigJnHoRBAZJAwFxaCd @@ -5365,7 +5404,7 @@ Zht4x4Jnu95kWrUVu9co5hvBh+b876QeoV7xA4Y0+48= PolygonBox[{{6094, 3437, 1138, 1656, 6059}, {6060, 1658, 1141, 3441, 6100}}]}]}, { EdgeForm[], - GrayLevel[0.5859538765284897], + GrayLevel[0.585], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmgmUlNWVx7+u7qrurq5ququ+qjKYcQNFNncD8ZjRuMQYREERg05YNMfB @@ -5558,7 +5597,7 @@ yjXCmK31X0DkXko9inoV5WDlYvV0g4U98H2UmGvKXaOUQ5RL1HP1QR9UuEap NrXC5ta866DqoXo/zT2csU4+9B+e/svTf5An0f8PhUrQcg== "]]}]}, { EdgeForm[], - GrayLevel[0.6770398671217059], + GrayLevel[0.675], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmnmUVdWVxm/xiqr3ql4VVW+6KthAUIRWEhKqSkELhZrsToKJEtFgEoMx @@ -5729,7 +5768,7 @@ vHK3o9y1Ujk8L+u7qBnhILptWdcC9bT94Asi9171bPXu/wMMbfss 1478, 3472, 4292, 6084}, {6070, 4238, 3411, 1063, 5905}}]}]}, { EdgeForm[], - GrayLevel[0.7681258577149219], + GrayLevel[0.7649999999999999], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmXm01VUVx3/vvfvGe999797fvfenOBCoKIPS4FqlMpWFFIloSmmiK5Qe @@ -5880,7 +5919,7 @@ D1MtVnrWaudJaHeN7Us7jHaZobFl9Z9P//20U2q31H/Qf4P/H77qJ4g= 3421, 1119, 5958}, {5957, 1153, 4484, 4266, 6079}, {5928, 1111, 4480, 4243, 6073}}]}]}, { EdgeForm[], - GrayLevel[0.8592118483081381], + GrayLevel[0.855], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmHlw1dUVx38h+0telvfy8hSoDQqRMrWtC3U6UDt2qpalIoJVoKWgwpQB @@ -6001,7 +6040,7 @@ pmLvSs3khpSxUf90+rcTFjROercKE7rAz4m8+1VzW+TXI//LqGfTY++KGmgU 4485, 4281, 6081}, {6083, 4289, 3470, 1420, 5909}, {6071, 4239, 3417, 1103, 5893}}]}]}, { EdgeForm[], - GrayLevel[1.], + GrayLevel[0.9941095773317665], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFl2uI1VUUxc+Mdxzn3jt35s69dyZDIx+gRZgGmRplZL4+pZKPyvIxk4+x @@ -6398,7 +6437,7 @@ ToN3t2am2emN6q2qxj/QW7hvTs474zr3/Q+r9uBx "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, - "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + "GridLinesInFront" -> True}, PlotRange -> {All, All}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { @@ -6425,1332 +6464,853 @@ ToN3t2am2emN6q2qxj/QW7hvTs474zr3/Q+r9uBx TemplateBox[{ GraphicsBox[{ GraphicsComplexBox[CompressedData[" -1:eJydfQV0lccTL1bcCsXdSqG4Fh3cXUsp7lDcrUBwKBbcIQQNGkKQBAg3JBAC -JCQhQAJxl3uDFucl9+5v9+1c7r/nvRzO+Zi7++3uyM7OzM7uV2Hk1D5jsmTK -lMkrb6ZMGU/+Z1+5c/o/Z9Jhg4RDXSen//Nl5QESNheHBks4xPKDhL9+y/gL -l/AW8/tREq6UAdrHSPiS+fU4CXc0d5go4Wfm9pMlPMk8wFQJW/7SGKzw/P7T -IGHgq5cHSBj4Aga+gIEvYOALGPgCBr6AgS9g4AsY+Op8S2Ow4uP38VRPHV8D -w9fA8DUwfA0MXwPD18DwNTB8DQxfA8PXwPA1MHyt5fT7fFR48ifwBQx8AQNf -wMAXMPAFDHwBA1/AwBcw8AUMfPV5l8ZgNQ+/L6cGK7z0cvXU+RvA+BvA+BvA -+BvA+BvA+BvA+BvA+BvA+BvA+GutZ74/Dw1WfON4AeZP4AsY+AIGvoCBL2Dg -Cxj4Aga+gIGvrjfTGKz06Pf1jMFKLjnfOF6A+RP4Aga+gIEvYOALGPgCBr6A -ga++LqSRrXXi+3rUYDXvuFxyvnG8APMn8AUMfAEDX8DAFzDwBQx89XUvjWyt -g8CX602uV/i843LJ+cbxAsyfwBcw8AUMfAEDX8DAV1/X08jWOg98+brA9SbX -K3zecbnkfON4AeZP4AsY+AIGvoCBr263pJEtOwb48nWPrwtcb3K9wucdl0vO -N44XYP4EvoCBL2Dgq9tlaWTLTgO+fF3n6x5fF7je5HqFzzsul5xvHC/A/Al8 -AQNf3e5MI1t2KPDldgtf1/m6x9cFrje5XuHzjssl5xvHCzB/Al/drk4jW3Y2 -8OV2Gbdb+LrO1z2+LnC9yfUKn3dcLjnfOF6A+RP42vIjgO/37U5ul3G7ha/r -fN3j6wLXm1yv8HnH5ZLzjeOVZvW0jNdBPoE5YMtwjazc+j3Uw/uAbT15O/w9 -Pg4+bn1c9vJp4YfJ5u/8qfdjb/N33j/vJ5P2l2b1+/f7RTtujI7ejC7+ErY0 -GyThTub/PJPwX+YGX7DySCt+oV/+RP+A0T9g9A8Y/QNG/3p5pIQt8h/N6sdK -2DIf4iW82dxhkk068XHzJ8YPGOMHjPHrcKSEMV7AFc3vp9jkE6cbHwd/YjyA -MR4djpQw+rclF5xPHG/eL3+ifx2OlDD6tyWHXC44nTmevF/0Bxj8B4z+bck9 -l0PwDzDkDTDkDTD6A4z+AEPv2JpnXO65XHG+cjpzOuj4Rsr+bc0rLrffp0Os -hIE/YOAPGP3r7RttzmNOZ94vf+r0j2X0j2X0j2X0t9YbnK8cT94vf6J/wOgf -MPq3pae43HK54nTmePNx8CfGAxjj0WFvKz3B5y2fR1zOudxxOeB84XTi4wTM -nxi/rXnG5Z7LIZcLzidOJ96vZf46W62P+u+wC5yYfoe94m0F431d3+PPX5br -ejlTJl2vOjO9mSmTrvecJb1QruslZ6Z3EFeKtmEfOEv66u3Fyvr6+86S/qgP -+ut6OVbWRznqgz+or7/vLPmH+uAf6uvvOzO5536LgyzX562yIyEXnM+6/WGw -spv0332t7BKUW54BVnYCyi31g63WcZTrcT83tg4aGD8NjF8GNl+82XzxttIj -ul/nZmW3gl5c7v/3vDDIcp2OKi6Pcr2eL7NzfJnd4cvWRV8mz/4sruLN4g7e -TD79mZ/uzeTRn/m13pI++viNjM//pRcMslyXLxW319/3l7/r8hDA5CGAzVd/ -CYOuuj/pz/xJf4k/6uv+pb/EHzDw53rtf+s9g5U9q88LX2bfBlvZsfhdXz+C -JX9RDzDoBnw5fvp401g/RuJ6+X/rbQOTWzc2r31t8FHZhdDz4BcfP2CMXx9P -GrPPjbL//1pXEJ8AjPgEYMwvPj7AGB9gjE/vL41srWN8HdLpG2mlB7le4POC -ywn65TCPQ3G7iMdtbK2rGD9fN7me5nqLw9ze5nFebnfzuCjK9bhjNIvLKTuP -x6Fs2QHAj6/zfN2xtQ5hXnG9xO17Ht/m/gaP+3K7n8dJUa7Lo7JredzNll0D -/LndopcbrNYZW+sw17uYt1xv8XnG+czj4dwf4nFi7ofwuCq383kc0pYdB/pw -O00vN7C4j6+VXcL1NKcXL+d6keshPg+4XPB4OvfXeFyd+208Ds39Ih635XEv -bvfyeDW3a6HXbdkhfF3m6xhgrqeh57h/yOPz3F/k8XruP/L4PfcneTyf+5c8 -zs39PL5/gd8t9IJfZ2L2KfcD0ph9arSy+7C+cHqjHOsNp7+uV0Ot+MHXRb7O -cL3M9RSfl1zOAOv2rJHNUxX3ht+k0089LXSwZ08ef3ayiuPrsLPs7/t8Uu3o -fpwDq2dv08/D7zo+Jqv9Clv1AOv0cWJ2CcZhJ8r30hTzf9Q+A97T9/kd2D64 -A9sndmD7qA5sn9GB6Q1nNl61L2HB05Wtawbi6xbX0zq/DCwu6MviZL5Wel2f -Z77MzvBn4wlg/Qew/tW+Obcb+LwDjPmj278OVvkU3P7k+QrcPvvffLP2w/n+ -P7d/bPGd0xntcT+O769ze4XvT9uKq0Afcr+X+4Hcb+J+iB5XcJLzR9dLRjlf -LP0cI8wn/M71EJ+HqIf3IPd4D79b+GWUT8xXXb7s5Dgwf0E/fT57yKelfR8J -m5uv/EjClmn3WMIWuQux2Q5/8nb5k/fDn7zfDub3YP9GCvrCXoyW5YDxRD2L -nCRIGPUB83ou5oEkSRj1AfN6/In6gDFuPk4+Dt4Pbwcw9CNg/jv0JtYV9A8Y -T9SzgLclbJGbBxK2tBsoYfPwvz2RsEU+n0uYt8ufaN9Wv7we+rc1Ll4P47M1 -bl6P4wE6AuZ0tPAP8bcoIfex8olywBY9HC+fKAdsaTdRPlEOGP3wdnk7/D3A -/MnxhF6C3gCe0EuQV11uouR7KNf1WJysj/GiPspRH/KO+sAH9VGO+pgPOl8S -ZX3MB5QDb14Ovuv2h4ccH+QQ/QPG+KDvMB6UYzwoB51Rrut5H0k/yDH6A4z2 -AaN96FO0j3K0j3LQHzDwwzxA+4B1uQiU7UE/A3/AGK8+v0wSxvvQ55AvXQ6d -pFzpfIuW9fAe6gMv1AdeoAPe53TA+8AD73M+oz3wCfW5XOh0irOiE/oD39Af -5yvaQ3+oj/5QH/ignMsJ6K6Pz0nOA/SvrxtKDjAvUK7PCyPTvyY5XpRjvCjX -5c7I9LVJ0ku3m5QcQm5QzuUM7el2VqCEUR8w5InbdRa8jNKewhN6ETDsKr3c -TtppnM+c7qCXTkdfCYNegC3vBUgY9AJseQZLGPQCrPvvrpKf4JOlfYOV/uJy -x/Udxo32wAe0x/ny/8snff6o+c/zubmdZWudAszzo7ldZmvdAszzjbkdZ2sd -A8zzd7ndx9c1ne5OLO6UIOUM9Wyte4B1f8nVav7ydZHPN76O2Vo3+DoAvgLW -/ThfFh8IYHGzYJa3EsrieqEsThcu5zWH9fMI8Syf3yhh9Kfv0xqt4v163k60 -5Avq8/xxtIv5Cr6hXT1eG8f0s9Eqn1uPf/owO0jREfpFnyfBshz6RZdjRVfu -l4Gu+r5EmFW5Trcwpt+jZLk+z01WfNHnscmKL/o8NbE4g5HNQxPbTzeyeWbL -DzfIdUFf75wkP1Cur3dOkh8ox3xBOfiBcn29c7KKC3E9qZ9DwvgirMotsJss -1/3uKFkOPYpyPc7kJvUkyvVzJG5SD6JcjxO5ST2Hcoxbp7O9FZ319Qvro7ek -J+aBLl/eEh/d/k6WsM4XX9k/56PujyKf3l/yC/MM7QPW8QuQ7XM5AIxxo75O -h0CmfwNlf5jH6E+XK3srudLXX39ZH3hyvACDf9AL6B8w+tfl1t5KbgHjfegJ -rBOA0Z4u5/ZWcq7DbkwPuVrJPWD0p+shNyZHrlbzAjD4hfrgF5c7wLr/Hi37 -1/WcG9ODrlbzDjD4oce3uF50Y3rT1Wqe8nEB1tftBNmermddreY1lxM+Th02 -WtmdfB5xOedyx+XIllzpcUWjFR84HfV4ohon38+xPLFftFfQ4TzTc/aSfoB1 -PWTP9Jw90we83JnpGXtml9vL+f39cmepRwBjngPW42LOct7wecHllMsZYD2u -b8/iXq7MHuR+q5NV3F63exwY3tZ01/Wnm6SnLT8J9Ec56I33dT/H2i8C/VEO -+cX7oD/6hTzz9VhfB0xWdvp/yRXHQ18fXW36qd+nW6Ash7zweBXa1/0rH7YP -o/wIDnO553LO6aqvY7b9auDD1zWUQ28AH4wf9TF+wPDnQBf0Bz7r80Tl1XI9 -hvfRH8rRH2D0h3GjfVtxAH09U34HYP1cp7LzAet5FyFWfp2lGyOLs+C89XPZ -HvSwnoeh/ALAeB96Rs+HimT+YZR8H+V6flE085ejWf5QNPOjYmV7KNfzbeKY -/o9j+TRxzD+Nl+3pcXAP0uPgBhb39mD+pbXfz/NS9P2qFBZPMFmNh8fheRxL -z/eyjgPx9Rr19Xisytvlcg7Y0l2QFV58H4PHOXh+E34HPbhfx+mh7ys42NxH -AMzljseduBzxuBKXCx434nzjcSE9bmJi9DSx8bnKeYl1A7C+7piYX6PyifR1 -JVCW63rHWg9wOdPzL6z5oOdj2MZLH4+JrSN4T+VX6evEeRm3BWxpZy97qjwe -Tkd9HeF5LOdl/zpd1P4+6uv2ixo34syAOV6WftKYXanioBi/7s+rOCrk3FZc -FLC+/+fA/Agn5u+rOCnq24p7Atb1joPNOCdgPk+5HtXzyzxs6lHAPO7J5wnX -e3wfA/V5XJTPE8A8LsrnEfCyxSdbeOt0N9ikC+cL8OR2mq7/FV8s7R0S9DjJ -/B74C5j3PG/OTfIR8wewPk/5vAyU81enk73VPj3sBL6OYX7o6xA/j2XP9Iad -rAc6Ag+MF7/r+sBgZeeBrpafH0u6A8Z7+r6CNV8tfIsT9uYtto9gbUdY+JYg -6+vzyY3x1YPNL3VfG8YLSuj2ua9c1/E75gOvp8cxvKVc8/1w1Ad+6F/3Bw3M -brjN8qyVX6z7ZZkyWejxSI4b/eF33W8LsGnHoD9bfjTaBVxZ2DdoF/zX9UWw -hLldpPPPlp8eIGE9Tz1YzgeUg776+7b9fN0fUPdFuQq7R5f/KHb+JlbKM+wg -wJALtM/vZ9LtcV/Znq6X1X49t/v5+Qv9vEACs7sSrPZhMB7dzo1lefyxzL9R -9y3p8TV17g9yo9tJviw/IUCOF/KJcQLmfglgjEdfd01sHUxj/TlLOYHc6e8H -svUhwCq+x89t6Hn0CbK+fk5EleN90JufV4Ae0PeZkiWszxNlVwJf3e50Y/tA -rszed2awQfYPvcnzJXhcg8cJuB/P/WruF3O/l/ut3O/kfiD3g/j5BI4v6IZ1 -WM8nPS/fAz34fjHKIc98v1h/P4DZ2cES1vdLjSwukCbpoeOhzhvodpA6hwH8 -9TxMI6Oj0coO1+8D8Gb5Fd6Sf3r8zNvme8jT1vO+kccazvRcpIRRrp+7ipQw -ynX7NVLCKAddbNHV1rj0c21hVnTX13XrcQPW4/FxVnyDHEJf2sITMNrT7f40 -5oeofWFbdNH3/cOYnZRmFU/4vt3hwOwCB7Zuq/1dwPq6y+9D4PYt399V8WHA -+rrpxtYZNys9CH0PPDBeLt8o1/fVvOV4UA6Y73uhPvDHuqifJ/Jncuov29Pz -hSNYXtwLFkcKZ3hFMHsswsou1/epcP72mWwPMN4HHoD1+GuUlCPwAzD4ARj8 -AAw66XhY0xXwf9HRFt10vgXZpOP/pluEpIstutmiE2Ad7yiWJxPF/NQolhfz -/05ntKvbyf/Vj7XfChjlmJ946r/bs3XUQ/ol+vrI/RQVB0e/GB9gPS/W2aZd -B1j33+1knMnyvMr2ldwkHvhdx0vdQ4JySzvwbzyZ/jJY+Q227CjA+v6fOgeJ -clt+J/dLMa/w5PMC72GdAmzLz+B+iD5v1X0dGC/q6/z1l+PA79wPRT0+b1Gu -n6MKsOknANbXSeiNZLpsHu9DRqdgqX+4voSe0H9Xfi5g6A/U09eXYBvtRMhy -jM8yXnU/h35OyV/aV3oeUIikJ4d1vaXur+B2qO5PhrF7DpQdA1i/3zaM+Zdh -7Bx8GMsDDGP3qIYxezCW2VHWfjWvB/mAXtDPKcUy+1vlk3O6cP2JdjGf9fzH -KKvz///ld/NytM/zXrnfyP1K4KGfq8C+Q7yELfXUOROev8LjYjxuhn4wH2zF -pbhegPzxuI5e3/p+Xd2uj7UZlwBf+bk2vM/9bD1/Npn5P4kSttTj90mo+4B5 -HIfHRXhc4r/8eF6un7c32vTjLPQzWuWNAA89LqPiAoD1fT2j7B/llvaUf6iv -pw5y38dSb69sB7CeV2ovYQvowuo7yfXZ8vsxlh9xjNkh6jyDfu7bwWY7KOfn -XW3hwccNOuhP23EVvk+px2k8GD0NzF9W66+u9+NZvDbexv4Mjy8HMX8oUI5H -h9X5bh63wPyG3NuKa/O4N78v8/vnmdT5I36e+vvnkZS9ys9LQ64t7Z8R6z3f -XzzP5MLZKg4EGHIHedD3VexYu9AXqlzni5PkP+RRt0NxX8F1ub9h+d2TzRMf -Ju8+8n3LunaH3X/tb2UXoD3YS2gPMNqzoO3P6PpA0l2XvxRpX/FzWDqfAmV9 -2Dvwq/gT/hXiB7CbED/Q4ybhEtbtCnX/q36fUoCEgTfkF3Kp38Oi1n20p+8r -B8p1SrcnYpmdF8vOh8XJ+pj3sE94fqqeZ6hg6D2s/3oeqDonoNs7av3T80ST -rdYFfX9f6TX9/gEXOR90/vtandsADDyxTvN8Kg6D/5i/HAZ/9PPCyi7j+U/8 -3DHPf+LnQqEH9Dxwe5bHrc5V6+tDNFsP4pgeS5Aw98vxPvQk9Iu+Dqp5oOeJ -qfwzzCsdf3UuRb9XxCTlFfqQnxuBvuR6UC/HvWtYX2bIfmzNS8wrlOt8C2T+ -gvU80/2GZ5KPkDedTi+kHOl5PseYX3tSrie6f67wh97U1wF1LwGeWK8A83O4 -+v0q2B+Ok+sB9K6+/6v8bIv84B7i+2zfNtDKb0V9y3gCpNyALvyJ+cDz83U/ -Tdnt/F4A6Fd+rp+fn9P12AtpL+nrwW2rc1/QO3q8zke+p8/vUKtzYbqdE8nm -X4RV3B7zGeU8Dq/npUSw/dVIdt4+gvkF4XI+chjrE9rRz2dESH2o7w8rfaiv -XyYrvPV5GCH5qd+/Fsf8+zi2Diu66OtVJLNTI6z2ZzF/MI91/fqClUey+aT0 -ra4fXKX86fo4yep9rm8tdFLnmHT7LVDKJ+wazFdu93K7lp+DB30BIz5kGY/K -R8E8tIxb5eGgPcBoDzDaQxwT/fB4k243Yv0PY35mJIs/qHtq9HMwsYwOkOdY -KzsAsJ5vq/ILsb5AT+v+pvIDoZ8Bg38WuePrkcpD4HkNmDco1/0elTeg01fJ -MfBGOWDgCX5yfQl5svweL/OdAEO+9Pg3/MlEWV/PN/WVMNZbnd/KvtXzLAOl -PtH3MX2lPKM9Xd+q+0wxv8BPSz8u7J4nZ2lnVhbrl253BrBzD1FsnY+WMPrX -6Rwr6Qd/C3Yz6KXLwy1JT9SH3Yxy/f4SxR/oB7wP+PKvrYwNi6nvo8JOetX7 -StmVyRfol7o5T5f+Q93b3Cfj595PJbyIGg691lmdQ+gXfXTv7fIREsZf98Zr -Ww+P9ZBy8c0w+tTwfuq7nS8yXjuvvmtZrvy/e/J0vijX0TU/ne0YucCFzlaJ -WX7gQYhsx5js0aRSF5U3AjxiP518GdBdfff0feiTZTM73KaStV9Uzr5M3R8O -fUS9Phef+US9/z6yfkruzeo7mtX/3GR4+8t9WZ41ZujMChPU9zY3p5f+uUl9 -d7J+OlXyZlH5Y7mfHJnWIrfKH6u07VGo8wB1H0OWX1cXffZQ5YcVvJcweZCT -+m5UTef9puPe6r7mDWE7LjX9WdE56ecMRql9njnTS+WLqKn2WQK6jyz4exO1 -j1H8es1Js7upuL+Z/DMipN3R1cyvCBq3JTWdxWFW+WjpjbncnaPuh1gy0X3W -1uIxtDt9lF0bP1Jx+7tzbhwsqb7Pl+hfMfTD39bf35s9PqMjdQ9r9dR8N+rs -jqLZLTIoZ52vZibfnRiK3NfIf0LWM3J975fOlS5eKm4FfNORS+8hhtwOZkiA -sssfrHSsVmSc+p7ey4bF7I/1U/cqv/8lg/Eqbp6p9OF/wnZY558V7/r3hZhi -8dTSTK+zVvf1mcXh13ii9X/Ffzr5yOp+vjoZ02x0PP0xull4zw3qe3dXM6bb -lf/re3bm91VcF/2b2Tc+kcoNHHzhZspZq/v9fjlyecyZjYn0UxmfWHJU35f7 -Ide6cqOMKk7tOO5i0sxLqex9ZyrX0vNspqvJdMJMr3PS356X43W7L6VuSXht -BvpD70n4wYSs+xv5q3ys4D877ekzXX0P7kXPDTunFFLfg4tvE7Bt3UX1Pbj3 -6Vqgb3V1D/cisx5Q34P7tqFXh6m+Kh9rhXk86t7iXMu2t13/V7JVPpZlPin8 -zOTJpeKg/3RJytbgRxXHtMwvFZess+PzSJ/aRjJPgxsqz6fN8Nh0CVf5Uuj3 -n4+N25S4rvo3qwtDKi3NeuLcuTrO8tl0x8TYfjcf057Z40yvCnpQr+f1Rh5J -DaElUwMPful0i56fbHk6aLSPfOZY0be0qV4q3Z9tZ+ra+hHtEO/9JtpZMW5W -2vsRqZSwcoD7ibrBZCfa6SPaHb6n0aoGi1PpdoPJeSd8DKEAt4+XGhWIoSEZ -aHwII5/CT2OyrYmjqt0+DK41KB3PT9/+GRefQNMfua4+tTKc5lc+5/xXi2Rq -GWp3dtLBcIpZ7tvw342p9LJXtc2Nz4fTO6fki9nCTJQ48Mm4XO7htHHx42tz -9qaSi/e48Js1o+hRwKitR/aZaOS/p6vcjY2koaJfjCPzurBuS13iaOqY7dcG -T4qhu42qbnF3TKebY5ZO1Zem+wNiXHfFOFEP722vPqf27QKJlDV7zf0HvePo -y/0i/tFO6fNnWNMSc/zjaJrAA3ihHt5bvHBS9kwvkih5QMVZoVsTqE3jipO2 -XkilssZNHbqUS5R4gw6oh/dM+fcXn1QjWT5nNXBr1CBdHqIKzHAskD6/fATf -sgs+xgs+LRd8A1/ApzRBV9AZdARdlwm6+Ag6AU/gjXEDD4wD4wKf3gq+gS/g -05Td78st+GCkYhPmZBo6/hAVEU/83mVpubjJweq5ocbqUVffXqN3BRY5VBt0 -mHYfyVs8urU3NXlfqtYbr4O06ffG7ifePaRd+bpn39RxHy26vKLgYZ9Acqh1 -NfpOjl2U45e5S2fkeEr5j7rt7uZhT6minbWi3YvP6v78YHAsHb29vVi1Djco -85RdR8Mex5NXh1Nnb91wpwaZ8vz5onYSfdy6qNriI9fo6A++qXHtk6je2aHf -jqx2o05iHHvFuCJv7+31joKozhhj/ruNvGl8wKVyL5tGkzH0050BBb3p6HJT -z2y9o2l906CYxj3uUOPqPy3NsymFRiYGdhqd4E2OAo/NAq9CdfomB3o+pe3N -hrRb3tKPjk86X3tglqd0+OdZJZpVfERVLle/V3V8Cn2q5OfSpp+/xBt0wDgw -rgkd871o2jiFdnbbd3FMp8eSLqAT+kG/u0U/50S/fyTH1g47HUFVIg4v/Fg4 -hP54eS/7jBrp/vL78sP/HfKMUgrUNmR5F0VdqjU41PZYGFUU9f4U7yULOowT -dNkg6OAo6NJBvJcq2jmV0n5m1JR4qpWOZdDXaOre5s2Ok88TaWdQ8YhmmaPJ -QfDNRfDR9232zxWmq6dB8BF8RTto99WOuIiVj9Xz4N/9sl2rn0ILGxrCpx2O -p4LbLHxvLOSgjuA75MBF4A06YFwYZzUH/95fh6XTe/Hqm8+KJtEowWfw/aPg -G/gIvoBPGAfGhXbQ7i+NpnfOvkI9C4bZH/h51lo6JOyI5rs+dGmy0Z7Op3k1 -br3ZiQ61d339JeiutLs+Z5i5I62/K1PcbJCtIfNy+ZO6R6vZi4GTi01NoFmH -d8wffG4Hncp4vaDal3/VrMjIHruS6P6fBX4tcGaP9Hsd32yfMO3Uair2ePtD -N+8UWnuvfMzrrAeo3ZDqLlPPpNDdImeG2m27RtFOG7p9nGAku1nTtob8+Q+t -DKxzf2JBE41ZY6jz0OsqjVwx7nRYDXWef9qAxWddR/qxeIU/HTbbM7eo6Zy9 -oy43Uee4fxrvV3JzB3XO+if/dk/T3ii7d22Q05qu5eKo9docXc808aLSn+vs -q5TOxzUFmm+avumuXH8t6/ZNKr7y+Kqd1U1Ut6DTXO8DXnK9z51hjjW7Q7mG -9wnL6mn9fSL8Dv9uY4YZ8scDWlpq7Mm5b6Np7OSydz9HPKBSBr+2ZYepfKVy -o0+k1JmtzoHtdxxid61YAq2YvPZdkcN+zB+4Q9VPDGo54LA6n/+qS/3KK7uY -qOD6Q10c2j4kw98WPnO6AQadQPd3pjUbqvrFUsHyxpjzI4LodJmWZ7ZdSKKk -ASeM428FSjmA3we6zjLb5+oehWaCL0dGv3/gsTqBvt6tf6Zgkac0asjzDlnn -qfM0aK+38Bt3meXtitV5+cIaX32ln7ZE0BV09utVpmaecel2wlCvo4l11Xcc -ngyb07Ns0RAaYnZMVD6R5WGkJbvee8+fqb6TDr9m15RCyz3uqe++DBftPhT9 -4HfUQzz43667Xl3+M4omCD4vEXyPmVSrcveTCdL/R/2YdvV6VI5W8QeLOxhN -S8Q8xLyE3EKOwSfwjftRaP9Ri/snN0/4v/Is4jMc4FgKEPMY8xr87JVhdi9P -oJVC7iCHmCeYN+Ar+Hz/377pHv5T6X/MEn4bzz+KFnQAf8ame/t9qiZQ6MOM -BtS5lUyP5yX+XDfJKp8o0/hJOSnd/soxIH+Gqa7y7oTeKSr0EOSrVUYYIm8S -3RZ6Ss8r8CXHDHIfSaJ5U4d2b/7rPVmeLOQe88D93uF0DavyhfY4VLr6eXUQ -yz8PknJ+x+Ioy/Jv4yzj1vPd4yXed4SehN7E+M1kyJlCzQf2Xl/h3lU69SFs -eEQBpZegpzDvoQcgz4EZw/6i5JLLHZcTwLdbV2k8ePhJqtnSefs/G0208p/K -T9u1tT6fXk3ooTMjXMK3xat7+C16VOmtoosH9F1dU527fWqWc3UPJeYhyi16 -Tskt6AW+W+adyhea7rJyTO09Jvoo/DGqf6LhxkkmenNoecqnDka5bmIdxbqJ -dRR4GgTen3+YOLdkcZWXs0qsW1jH0A/6RT/oF/Rv/yFDER+hWxeXl27bwfp7 -DmkXMwIhp2j2rX4Dmk9Q3wmo7ldlc8N/1HnusOfvfGqdU+e1Ea8evW5jzKty -BhlHkHEnIWeQa9AVfET/iMsEmuNA6nsLiIvAr0V/Z26mHGheI0jGDVCO/u4u -HD7Ps7U6f31ayAXiIoizVD209nxkovquAeIciHuA37+b4x5PyG3W1uLZBvB8 -H6OUK8Sl+HcaHmSow4nqXIeH4AN+1895OEg+gI4lsmUInPqeA+j0fT4ZyLnW -lCOZ3WNpqOCLvq/jTSXFug86ohx0AF3Qfrjg+3hzvMvL6juFsBtAJ9DNR/AB -fPm9ZeEX3d/tpVl1zza+Wu44s3fOSX1jDtdlM1L+scW2dC+f7p+XXvlXto1G -uttjjsuDcDf5dMwVlXm34x26YlwwPV+m65R7+8JWZa/70w8Z5vTIGxS0aUcW -T5/HNLbWsnQRuEm9r9k1z9sslL6cKDFwxG/u5C7eOybaySreQzulA+q1fNNP -PeeIdvxEuxN/epXDvYx6ol3081vFQ0WL+yTRgW0Pbh9wTKD94tlE/J6Fno6Z -nGSkKSU3BXY6nCKf+N3/1AfDh/JR1DTC/fi4IrOoyFdDclT7dLlxj6uWu4gD -LfJoPOVWVwON+fPnLkN7ONOajh6xwXa+lNLeeGz0TGea0Xr9g8LDAqjQrt5L -Ig850zfXj1OdvgXT5c7ec0qFONOuGXVaL3UMpX8K96vWpfJFGi7amS/abXt7 -/f6+PTzls5/jnNr25x9Q7kJ94r6tv03GMz4pKyY/IMc5S44eDL1NL0W/68Q4 -UA/voR7e+/D6qJfHjAA62b9qG5OHrxwnxo3fUa9iw8frOlVLl6/kNmO/7QiQ -eAAv/I56GwVeuwWeLVedr/P4iYmGncq7IO+NUGq4bcSQc2Hp60DWBb80nRVK -fwg6g+6egs4/CbqXr5xnl8eZZHq6Ja5HrbVRFHqv9OPX81LomcONyPkjo2h3 -xZ/beX5KpmiXLhv6l4+lmiFT783MlUIlrrj8XbZULK3tnxZ071iifKIdtIt2 -0C7aQbtoB+0CjxYCL+ABvC6b9Z71d446mPcT7Alxecy77Du7f02qE0PVVtfY -snbgGrG/EkOGzj0LX/tnP9Xu6VMvaUoUHfbruPHfkhcIcXW8P+qr8+ed3eKo -VVK+9pdDtlD3W4aZZfrEUV33Rbdajd9KG8b2PRJ2JYY6Nmm1b95PF+T+2OcC -JfMevrWZ8h9zjupcKYHK5+w76KXjdBpy5KeKx7LEU5+5S34bUeACnfq4K7h7 -t0SaF3n05055LpCvb6FmYduTKdPi8tsTc1ygIWmDH2QJTyUff5fCq0/covnb -jtztZogl75yfvyTOMVD2on23/uiTQNuKbJpQ9bInzYwferB/jniK8hvWpNiN -e/R1R0SHeYPT7b8ji2PK2hvoYdtfP+0IS6UeRfYdvfvwHi3PCNfGR9PSul57 -NvR7QFlcWt+f/GMyNTKUKR4adp9+yHui7oJeiVS0bptb/V4+ojeDupdxfW6i -R+Mazn46w48K/5j2tHB6e22vBrtd/PiIXF6mTp3hHUPTArd8ehTxiB5+Wbq0 -/chkyvfkypSxC9P9n81P2lefbqImWfdk9x8bSJVKvvlwfbSJJi5eUNxrcCAF -vZ+bMu1FKsXWG3S1zcZg6lC0cZadBeJpe+nK5UvNDKZDF3vsfn4qgT4HZRhw -Tymyu9uzwwdM9OrR6KzVDzwhs9lQ2ETmcHPXJ5Qze+P8h5+n0qERk/f8WjGU -HASfwXfIBeQEcgE56Sz4+o/gczchByOFXBQRctBNyMVCQcdlgq6gA+gyQPAd -cvA1h0UuICf3BV8XCD5HCj7OEnxNrv3hYadrnjRt0/smne+m813QBXSCHEGu -Pgu+Qw6KCD6Crw0Fn8F30BV0ziLkEHKZX/ARfIVcQk4hV5AzyAXkBHIDOYoR -fAbfmwq5cBJy8peQC8jJQcFH8PW14Dvk4KLg+yUhB9i/nlf74L+v5psoq9j3 -wzqNfT7AcVezOa96ZP1dsqVlfhvXboKJhnzKcaDCbgf5hB6CXnIo7doz0W6f -zE9waHDox46VkujNu7n9PIwzaPToAZmHt02hw2Y+Lqc11SKirzj4UMN9fVKu -PblMN+3PX1zwUd1TmP/v+R9n7XhEPqVrL3rvcIUeRg0sF/FI3fv36Y/3rU+N -DybjpMgcJx2u0m+LnsTYHVP359eevOJX/+6hVGvz3VKljdekHXdLxAWOFBl4 -qspCdZ++x4H6pWq986CYeC+au8aLbi38s3rvD7dkPsww90HTc/ZIt4u8shfd -3tCbTvT4+9qeGUm0KP/upmF37km/D3Ye8jrKi/3cMXX/etTWdIsC81aicsdU -HGqGiEu1nPm5xYHlt1l+W5qV3/NE+DnzBV/B50NlM/ecO8OB0hwXj92Ubo8u -Fn4CvzdqzjH/+RuGRNHH1FWLmjuk0ASfFknFBkUR5erc6GAPR3rapc+Cl9OV -H8HvkXpz4+WlcTtiyC4ga/gp3xRabn7G0IdfdrQM9DxKU/YXvW84ou6RmvGk -0KvWfiouiDhhhYKWdQLrxtjSC9IOJafQx1aedl4N4ilh6a3eDdOO0bK8NVtU -CFH3Tr001a9VOqe6BwhxxfmnZzvk/CGVDr7Ncaf3zvR1ZWDxQ3Xij9Mpz80l -gwure6em5uw/8V2rZLrfvHGdeUUT6Phrxzy1VyRTjlX560TtT6JexevPn2VI -pslFypR6dukEDdlXrUrBXuq8ibF8BgVTKUuZi8F/L7lEx2v1mOIwy0jdXrpv -P37ek1Yt+Pr2n2VGevK829tvMdepVanbz4teMNHbB13zLNx5n0zx0ac+bzbS -7JpLrkbPuEMFCw5cUjHERBW8AsYtuBIg6GeknhMH5ylT+glNmLo3b1E3I5Vz -zVY/ckYo/WQssP7pU5Uv2Ov6IIfxr7wlvNx/eM58q/wlPMSw7Was/WNptwfe -/PFewuRnsvy3DPE6GCLhwsc+19x5Wt3znnhxT9O/rir45LiyA899U+f2V3lk -BDKiZfnQ2abNJyqqc02fvOyH1fgQK8szvOzD7ePke2jn33EDchc9EE2lLiTU -GlZH3bd/d/OWbHvHJ8hxo93ag7d5lFn3jLLmytwjaWH6PNv/raRf7DOaXHfp -jOL5kmW/8j7BMs5PskXEksvYdp+7z1D37y8+MLLltvVJ1IfRsda3wE3rWt2h -pZP9/9jslEJlR2wpsT7xLm0emqtIv/qpVnT+nPfBlN01H1FKv16u+cunSrqj -vNSboTk6vnpMppW9Fj3PnmpF90xl6n+K8gqh/DvO/VQ/TvEB5diPO3lo8Z81 -r6VY8QX7abdumbJM+GKkU4JPKM/eM2VhyXeR1Lrtbw/m1jJJPqH886TbNzt8 -jqZnFevt/ZKu74Nfeef8+WM0Zb19LGDzTJPkG+q3drw+t3apOPqnUZTHLUpf -Xwz9fy0bG0sTSoxoc/2RSfIN9UOrvfLv3yZ93d75YLVnGZOkO8pLPPncZPXU -JKLym4b6ZzbRpBFLDfuGGSjiVEjdBqWd6eqKso1u971NtY8eqHBk5ikqvSTQ -ubWPLxXctjg6v/0Fmr03atGyLg/onWvp4j3dT9KoM7uW1lsRQN0z53mW8ucF -2nf6xatTpQIpbnTqjoEvTlC7IhXCzl5T9zWUvdwraXmZJ/T668zbvq0u0PrG -l+b1Xf+Ems8sdrjP3eN0uo5n78OZlN/vd/+xXVWXULpx/8SbEbUvUKHK77dN -eRlKPTfuGxo19hjlNds16n6H9xvOtbhYOYLuu9x3XFfpgoTLZGsz+fdtjvTv -6cwTXKqp+x+8n632O/9rBM27Xq3fiD23JFxg5emBLXzdyZz+dF7dD+F9pv29 -bQFRdOPbAOdRlTzohfuqlxMfRlGz+X88Ttx5U46j4KrZ2c898qK8Tha69hd0 -riLoelnQefWK6bOCqwWS6V3pYn1P+9CqfZ9SsowMpANDWv1VPZ86jxPnfjV1 -65CH9HGrhQ9VBV/eCz6AL3vbXPN4nukpxQaF5ZpaRZ2/eWFepwLpYueZfkMr -zKUvC/ud9GwYJPkGPoJv4CPiFflmhbQ6ni9IjhPjxjgxbvQHvjdfUtUpdsMW -6ldyhvFinqf0TvC9jJCD+oLv64QcIF7z3rwP8pQSBB4HBF75Wk0sXPXfZJrh -OGtS8B8h9PR8P68s+VKow6pXpauPUvfnQ46ydctTtdSTNdT0x2MuUxs8p9U7 -//09e9099GZE1Zy+hZ9LuYKcQa4gZwc2vz01bncyze6WNvzAiXAaOjV3/11j -U2iOgEdOGOu0MTSVfow5tGK3azjdDP91/jVXo4QxHshpwezVcx/7Mo3y9Pup -26cKEeQfnfXR1GqHJPyQyW0pIbeAIYfvhRw/jTjSu8Oai7RmYHLjmKoRtPFj -odLba12jtQLmcl1UyDXgUXETbxUOSaXdJba3TKkSRaUaFw3ZsttI71KXX+qU -Q8l9jJgHb2p0fTi4qAvtH+Mz39cuiv7qufyPcQ+v0JLpY+3y71fz4o6YJ5gX -mCeQpyLmfMBoatX0W8MDvp401byeRNOG7QUXdpocTxfCHA5u+Za+Ti2dvjru -SSrNdHySu2W6vfRgjfHxguVGajr6aNsBTdV3NR4daFh+Q6NY8vf8c9FvaS6U -53rQ4V/jY2iy/8IypX0u00vzehBLjQ2/NU3elkheLe54/TQpjnYnmEZfck+k -63Xt1n7tEUcPDoaNHhmUSn1PXrwZdz2OnKttWVV9hlE81fcAbuz0W/jBPZ6c -wkeVWT3elUp4tcz5x7D0dfr3xd3XfXOlpfN3d6o/QeEBvGZ031zpxoNUalW+ -69Zz+RJpc4O/8zcbnW5nDLpzaNgZ9X2AU5snPBnTNolG5rk0cNgYV3I9vrfJ -fi81buCBcQOPladuz5/vnko344f5FR+fTGeLxD3w+t1IAUPnvcqfnETTxbzJ -L+ZROzFvMI9mCbm2JfeQa1tyDzmCXP0r5AhyNUvwsaTgK/gIvvYWdPcTfLgg -6A4+gG6gI+gGOgJv0AF4gw6Vne0e7Cx4kzqHHN+co9gGSe+Tc4Y0cqx3iK4P -29h+ZfcbMv8/1CNiUKaid6l/vf51qp9cLuXX26yfdtHmdRcLHBxxR9ZP0vJU -nanghl0TK7b1p7ztKh3bc3cadY89uGjhPj9Z/42Wl6ryUAHreaYqjxQw5j3X -A9uFHsA8xbzFPJ0i5i3miZ+YN5gn08W8KS7k+oiQc8j1WiHn072aBW2cpL5H -ADkdI+RW2nnnetao9X47lXs+x9R+gfo+Aez+ccIPQH7dIZGXaBJ+APyCTu93 -tajwNkXqVZxnyec5ZH7jI0ephuBrBcHn3YKv4DP6vSz4nK/KuKQ8re6y+598 -6Hq9jm+bl71K0cJPvSn81tci7xh+JfxWd+HHQj4izoXPnvH4Br2cuqLegsHW -3z9IMu8fukk/FX4r/NIWwk+NyEgLnqfu6YeehN6E3/NM+EHL7fZvbNlLfc/A -8ky3G8t1XuFf051IyHGIkOtgIccYN+izSch1isAD5RjHO4EX4gqIMySJvG/4 -5/D7EXfAuAoIuoPO8j4YkXeN95H/njzwRuX1L+/QEuEnVBN+A/wE+A2Qn3Ui -b/Vs/XLTq3VS9wr+KPzAmcIvBH2aJhU8d7u3N71ra5mnmLegRxcxb4F/uODL -HRE3ySfiKKVEnjv214C/r4irJAq+Qw6QN476OE/w8ktGoOwRJRcp3vjA1WS6 -tnzAlpH+D6Xf80X4QTwvN1nEaT6KuM0CkWev77+5UiMRx4GfVFr4TTyvt6aI -69QScR68f0jEdbIJv7CO8BP/En5hBeEndm1VeIRnoPo+Avwu+GHoL0zkDcPv -hh+O+MNCcS7hhPDLkI/K84w9hF8GPw3v4xwDz0OGnwa/jeeN57YEWuW5HPjN -8KPR3kKRxwy/Dn5e+IEHgy+l+3Ufix1akvljtFUeOPxk+M0yr3mjJQ+6avaM -Aah77+EHwi9slxFOLnOLes/O9y62SwK9vvIknXPqewg7zf3csLrHu3SCy7Ie -pVRcBnEaeS9Jg6NRKZ7xVnnY0Oc3Go394YspkZwytu+eq3v34XfCD/0g4pKI -U2I+Yd1AXA9xPsTx+PcRsk70b7Q/axJdykjLC3pINWosfLTvirpXuJr5vRTa -OKzGBy97P4XHoBJNHdcHkUOtU71yTU8mp425yt4v/NgKT8CISyFO9UPudhd6 -V0lh+R/JlM28TqvvJ6AefuffU0De+rV7sxLKOJuoq+n6gjafEqUfDr8c6xrW -uR/FuoZ17qiI6yLO206sq/y7P1hnEXdEHBJxRMQVEQdEXBByBrlDnA9xP/Cd -f28BcrBr+PXII+tN5HayZ/bUMim0+5c97o8/8+9WmihXgx4DezZKocstfiv8 -bsAVlp/iSvcrTVxz/2i63d0/Im3YZet75s9GTf37+kP1PYYVYt37VtayzqEf -eR9Y08zdV+QzUTOh51E+9+rFe1PC4mm++WmiM9mflo8sru69vOu3OnHJx0T6 -zanlwMEX1L24ec35hCb6s0zh5ruqqnstgTfoALxBB+CN+vb9Jj3ZdU7dA1LR -3Nw5Kjm9yWvDy2Vy3xH2j+W5l57tfpP9/vDjtCbb8kZFZhvp6+S82xMWXpJ0 -chd09RV0BF0Xvu9xf0FdF7nvUDS8+AGPzBeoVEzzlDvh6t4e7FOU6Wl3KaGU -Op+PfQr9floTjXbdTK/XGulyl7Uzsrc3SvwetFy0akhmI7UoWf/Nb1dM8pyE -nh+USj+M7Dvh7lUT4ZxaJu3vPE02xxGW0UsRd98t4vCIs4M+iKsjzo44uoxL -i7j5GxFHh76/Kc4dzRRxdNRHXBxxcujvBiIv6ZWIk6M+9G7JM0+Hzel5gJxE -XHyGiJMjr+xHca5nmoiT4/2tSXey/hKg9IC8zzkoc4lffjpCjfq+jqp5LZYm -th94PaSZgU7+9imtxBz1/QasA1gXoPcPi3WglND7qI84encRVwf/L4h5h3mG -eQc9DL2MOPsbEXffKuaZvEdAxNnLi7g74uyIu48XeAAvjAt4VRZ0BF2xL4R9 -ItiF/PsLoGOcoBvoqJ8LUvc5LhDzopDHGt+c+Zyo96uEs0Wd1L2VPzztePzs -Ilc5LzFPEUdDXA1xLsS9EHdCHApxJ8ShEPcpy+JCD0VcCHmQmAnIKwQ8cG5k -6OLKRrq2L7j+4L4zqHlGem2Z5ZKOr8KH3p36qwftrrm7Y/d6lylu2IVfGvZW -91DOFHnA8GcsPz+m9v4ZBqWHzItCOfJMAYMvsDuK5O8z1HQ/iRb+XWXkhybq -HjinhHEx3+aoezuR9z645SW/N7nu0NLVHd+02OdLeUSeNux/yFl+j7BRPQ/7 -0MOTT74O2B9NeZK9ujc6d0/meaE+5ifyrt6K835yf/HQnOPLXibT4TuXV7W5 -f5sCfojL3ipK3TuH8SEP/0r04RXnpzyi7hnHAbs+pHbivB/kG3YH7BCs+xuE -HYL5flXkoXpkbK8MUvfY3ajSontCvWCqkfnNNc/EQKrinxHIsv6ewWlht/A8 -1g/CT4Df0Gzlxr/q9UukEad7ZenjpfJ6kef7VOSV8nvn6swOqj65jcq7Rx7+ -xa/OC1+dV9/rnPhtZcWyeeKo4uQRz9bHxch9RdPOOrFTr6p76+Jab9tw43QM -XVg26ESBgnfJNWFh0/Yb1b2fvx9a9rngTfW9AdjZkw8FZm86OYGq5D93/Xgn -dc/hCJEnOczPqcOXusn06vWbpxUWqjxd5O2+Xl/l5u+vrL8vsDd/v7QCxeLp -8cySXz3bpvPBv9/lReviqZ85UeC+tHsWDB2wJXuyP+UaNT9TgXPqHtBku5On -5wWo7433DS3cd8Qy9X0A2A1Y15AHO3dk9rkuNy6p73XWyrl+dnQAbTmYWORz -uv3X/ebn7GHL1PcAgkXeO/+uXA/hR5Uva7RLK55IE84Xum/XQuVZfwuy5F1/ -7Zmz6umd6vsAyNPm90DWj146rXh4kpyfhSPHX3JalkzdQvIOdC2RStk6JeSr -/FbdI5j7ROAl5+Rkaffw707BDgL+yPP9wTfTnsYJl6hfv72eY8um0Js71+Pa -BLhIue4ypEq0T96btD/uZt4PbdS9tZk6ZmSqKr8dfnyS2c9T37lauS6hdcUr -Z8i7z67Og0JNLC8yjRqHOQ34+bO6bx/nRFBev1WdjpvC1X37WcU5DZQX7x1S -atEI63vrkNdaxK70tjqB1vfv49xC4YtD88a2U/fx45wA2kdeP+BLkRWr76+e -St9mdpxZu6eRsvxQ7NeJddQ9ibCjYFcVv7Le/n6TEBmfCRrwkNZ8eUZ+72o5 -Dtpwl550TG6T1+kZuXeNiDcMv6fi7+I95Peb3eGH6r7Uqk3tfZd0UvfEm9OK -F6l73sOyepbKvyec5U9Yn5tFu+gH51Crt/uhi09aNFUX/ch8WnH+c1DDa9Qu -d5zsF+PA+c72Oyu7V2+RIMeBceH8ZpprDrcp85Mon9iHg10APV+3QlCdyWVO -UpTYV0M59LIzLXEp9OAYhYp9M5RDL2fpMM876YG6j36b2f/fRv5iH0KPJ8ZS -K/NAr9F1sW+Acuid3vmOfDnW/LKM+6PcMt4g8jHr7dvU60L/mQfOqvvm84p9 -OfAV44t+Onnji7i71PXt8B9b7wqhC8dH/lzwjSdN3XHsivuiEAqv0X36/A+3 -6ce/y756Xy9Cvj/C/sYvXepEUMkpbRt2z+0p4VqVIwu3L+lNWfPFrH7fMIJ8 -7V64BW2/J2Hvw5OCe168Q0XFvg7awz4e1seMrPW1rdW9653MfIygr4Uz3R8x -8j51FHCUw+QC/fP4UbFuY7y2doigkf/8neOL2yMJ19l1b13VDf6UFNWopMdg -dQ976qCsAeP7RtDkpz0bvTMFSLjz9vVL5yYHUsXPzWNejomg6bNHGNcWCJbw -hNZ5U2sMfUwugk6dBd1CBJ3+EnSrt2BwcNIudW+7xR6KoIFrcm+zj3wi4eNz -306aXPYpdZvSf1tP/3R8pvhNr+sVQhs6Fe84bn8Uja7U/8nwYWHUvr1fzmbv -Y8g9x6rGpRuEU9fw+WsTe8VK+P7VVosyV4wnf3NeWzjFm/MRFNz5YM5H6/5I -pI+xjdPybwunjcXG5K5ROEnC4ENBwWfO13qCr8MF7Cf4mkXw1SD4Cpjz8b3g -WwfBtxjBN8AjBN+KC77VFXwDDL6BjxMF35IF37oJvgGeKvhWSfBtkuAbYPAF -fOor+NJD8MVJ8AVwvOBLT8GnYYIv6wWfoFfeVrrmWiI6inKn5ujgNy6Riv+5 -Lmx+9WjKN2Dcu09ZkmnIyp5zwy9G0V2X00cO30qie+ZnFF0TfASfrzE+g4+2 -+PxB8LGL4PMHxmeMC+PEuDBOjAvjxLgwTvg58HvgF+EemezC74EfZGfOJ7km -9SH8iKYuljw2/L5Q1MPvqIc4B+IeuEdG9/c9aLzwY3AvCsaFe0oA494QwLi3 -AzDu0QAMu2iBsMuwrpZzrPtHx/7LyWNkjTX926v7/V3tvv7r0s1d6mOMb6D5 -3MZl6VfBz3oj7sGBHQ28Y4XfhXbQLtpBu5UvHcjqmuMxbfs8otfX+p60sEQJ -w+t7QTTnxIrE1+Vvy3tg9Paj6LKw02FHdRN2FeKP88W9Ht86WOwq9Ldzbdb6 -AT7W99w273gm4OfKN6RfBj8tn/DDYJcFiXto4H/Bzj8v7H7EV/qLe1xg9/P7 -/6fk6vt1R1dvqiLijtBbsPNui/XvqDn/01/qIdjnRfqvmOeW9JC6CD/tsvDb -9Ht+1Hfp2gg/Du2g3R9FO2i3hLhXB+/DL1go/ATY361Fe0nCT8D7X812ufpe -AOzvCrVC3vW65E+3stWYnutoul1d+PztKtse0kpDr9jcv3lS2eJFe7jneizX -fehJrPuwA4Z0vZujxV71/QD477WnFauye2YQVRd+pbvwM3GPEexY2AuVhN+J -dtBuLdEO2sW9Qni/8837rYtNT6a2vwUNXLNenS8+L+51eijsUNilsENhl3pF -tai+66MvtTjxT1qWSc8kf2Keh5z7pdAzam22I63v0T/SZ8/Cd7nV9wZgZ8Ou -hJ3J7y36XdiVPws7k98b1E7YlbgPBfzFPT6wK2Fnwq/CPTywY/tnuA31Yim1 -46zJ9b3V9wfgN8OPRj3+nQK8J+3vjHTes/F0IymsQu/26p7/zRnLmIf6HgH8 -uUFV+3ufPxFLI0UcoKmIC4COoCvoCLpGOV1d/XeXaOq5etrbQZkTaeOWQieS -56h7HeGXw0/n9yrBT0d9jJt/RwF4wA9Fffi18HPlPZ7Crw0tmr9vcJiJnpmf -8bT/6J5DcYtN5GGs4VW7YIKMOyEOBXk0iXvFEIcCna6L/Vh+j/oGQVfEiRA3 -aibuFePfr0IcCXqrstBj0Fv8+wU3RRwI92KhPcQ1EOeAPCCuIe87FOMDn/l3 -/3APFPx6/r2CM7UzjZgwJ4XmZrix+dW98+vnuk5/dc9EkaMyfU5ITqTaIi7E -v08wV9zjhTgP/17B11KWe7UQd+HfL8C9V4ijoBxxB8Qh+D1WiEOgPvDg32EA -XvCj4Vfj3ib+3Tr42Yh/1z1df96GsynkIfx8/j2Ev5rsjDrlbKK8QU0WHz+l -vo+A99AO3kM7uKcKfjLGi7gG4inYRzF0/RCZ44KR8o3aUCt8+07Zbr9WNwtd -+LyPdl5pXLaen/rOwINXF3J/WWP9nQG7Drm+VV2xleK3rc/eu62JAttOilhm -cpT9VQmM6Fd72nG6dylH+gqvvnMQIOrhPdh3OGe9cM6K0mF5j8h9oBKiHbSL -dnxFu4UEHsCrp8ADeAEP4AU8gNdagQfwchq0uNSrq6nyiTgT4k645wz2H+j9 -WsShIDcNL0aPm3LhKhXNSGtoZv19BU+hJ6AXoCdwrxj0DOSpiYg7Ie6RaPaD -79LZ4HqGFQvUdwwQhwwScUnoyW9OGXE2P0pNsF8x8Kj6HkOiOL8Oewv9NRBx -LMQVEWc81GJSq5KT1fcYcM8Z7Bm8z+NciGshzo64e4rAg39XAnjNEHYc7LrM -py148O9KpAi8oD8Rp5dxdGE3lRd2Er/X9oDAC3zj38UAH2HXws5tLOxazMsW -Bx8HjfA9I8+LYR+0mNgXbbX9rwc1QtPn5UjHbEnXztBkMe+hBzDvMws90HzY -pc67J8yggKuXhvWubCTjEYtfwb8bdkv4GUk3ypw9cm4XzXgx0mFAjutkbJAy -dlnQNjL4Te39rMYdainsIm9hJ7mXv9i0asEUyrm4fpFRN/1oRqexLoEBobSo -84nnWV+l++eTz3V4XyqM7oTer7KjaBQV6bnda8ccf9p1+M6tLwNi5LqOdd7L -M1v2OrUDKTDPs4uP28ZSv4Tuu/rNe0xlDnz5PG58ul3kPm1Rtj5PaObvDfe7 -3I6nQQfuvhk8yEQF8jo6+TRIolyFNkXZNTVRb8eLvxYZlkIl+3+Med7uIi35 -+mr1mWpK/51ccYp61ntE3mJcWcQ4oSd6PxuRNOOTuh/+q2nfD9XT7TSca4dn -iHHeFuPGuDDOxYIO0wRd0H/RstV/eJU9WMIrLp+8ty00RMLIJ0L/yB8CfMTw -s59bSiRlLe/9xilZfV8945aGkrmeSnjYuiRDtUeJUg5bTO106E5p6/ueC2dM -k+BzVGlJvq8TApPpWZe5v8xODqKx/4x9dCvdvhltfkbT2FVbDhYINFH2/lUe -+kbHkuu+MpmdT5qow62xW4NfqfvzM27b2ZvFSKXNeeZG+pjfcu4TfIcclBZ8 -HSD4/H8AfaocZw== +1:eJyNXQd8jdf7j70VLaU0RqlR1KhZ9ag9ip9RVaqE2rWp2jPaWiVq12hsMSMi +dlwRI0YkhCzkJjfrJvemVBUl/zvO95z/eV73//vfTz6f43nfM551nvM8zznv +UXXohN7D83p5eV0u7OXlLPnPr3oXx18g6bBJwvHB4xx/Eex9lIRdr+NjJBzn +fiDh17nO30MJr3a1N0v4AyfolyLh467mqRLu5BowQ8Kxrv6tEh7rQjBbwu5f +DoMVnW8uTRIGvfr7KAmDXsCgFzDoBQx6AYNewKAXMOgFDHoBg15dbjkMVnJ8 +M52q1Ok1MXpNjF4To9fE6DUxek2MXhOj18ToNTF6TYxeE6PXqKdvlqOik5eg +FzDoBQx6AYNewKAXMOgFDHoBg17AoBcw6NXnXQ6D1Tx8s56aDHTp71WpyzeK +yTeKyTeKyTeKyTeKyTeKyTeKyTeKyTeKyddoZ948D00GuXG6APMS9AIGvYBB +L2DQCxj0Aga9gEEvYNCr280cBis7+mY7YzLoJZcbpwswL0EvYNALGPQCBr2A +QS9g0AsY9OrrQg55WifebEdNhnnH9ZLLjdMFmJegFzDoBQx6AYNewKAXMOjV +170c8rQOgl5uN7ld4fOO6yWXG6cLMC9BL2DQCxj0Aga9gEGvvq7nkKd1HvTy +dYHbTW5X+LzjesnlxukCzEvQCxj0Aga9gEGv7rfkkCc/BvTydY+vC9xucrvC +5x3XSy43ThdgXoJewKAXMOjV/bIc8uSngV6+rvN1j68L3G5yu8LnHddLLjdO +F2Begl7AoFf3O3PIkx8Kernfwtd1vu7xdYHbTW5X+LzjesnlxukCzEvQq/vV +OeTJzwa93C/jfgtf1/m6x9cFbje5XeHzjusllxunCzAvQa+nOAL0vtnv5H4Z +91v4us7XPb4ucLvJ7Qqfd1wvudw4XTmG0o2vvyxBOWA3ujb23tgO9dAesKeS +98PbcTw43jpefrJ0y8Pu8Tkv9XH8PD7n4/NxvLRfjuH5m8dFP6cZH8MZXyIl +7O72joQ7u/4RK+HvXR0msvdJEnbrW5pBfsCDl8AHMPABDHwAY3zAGF9/b/FI +Nx+XlxgfMMYHjPE98ZHTwfvlJfgLGP0Dds/nZNafzaPcON84HRgPcDVXmeVR +7hxP3g8vIX9PesPlyPnK+QD89Po2j3rI9ULHJ4lWuepnShj9A0b/gLkceAl9 +A4zxAKM/wFxPeT/AD7BOv4XRbzHMuzfLIcmAF2BeYnzAGB8wxvfEV04H75eX +6B8w+gfM9ZTrBZcj5xung4/LS4wPmM87rodcb7jcudw4HzndHA8/4R9we4rn +ur3heTl/ZgcDmT3CL9IA6/VjPKwPgcxOeHnp81jBev0k+V5fPwIl/3S7YfEA +B0p+oj/AoBv8RXvwl8Nor/uV6r2+btgMfOXrDeSAfvV1L8KwDqG+zl8Ts3Mm +pm/hTL/CJb2cfrzX/ejTBj8B9HE94Xjy9RR0ud9HGdY9vNfXgQg2X8KZnYxg +8yWcyTuSzZdww7wFfTr+gey90nuMq8/7cEmX7l9HsnUuSuIPOYL/qM/tmu4/ +K3z5POTrsz4vTYZ1Ge+hH3gPGPXgz+v+gs0A83nO6eb+As8P4j3iC8D6ehzL +1pFEyQ99vED6v+2MyaBngEEvYPCfj/f/tVvQDw5DDxA/8XWYx9l4D3z08XJI +t5P+Hu0k8OPziOslh9Fez3spP4fneXS/NMew7vF8HLdTHOb+C9dTPi7PQ3C/ +g8ftPC74/64b0GdudzzprZ4XVf4Rzwtxv4vnFbjfwuNwHmd5WudAH18HOMzj +AG6n+Lzh85TrMc8Xcf+Q54m4X8jzDNxP0vNfpw3rOs+3eFrHIU++bqA9t4Pc +bvB5C/p4voj7ozxPxP1QnlfhfiHPl+E55AmYr/N4z9cZbmffbPdzPNhlZaf0 +PLrNYCf0eZTD8pQ2Nu9yWF6P++XwWwJkiXrgC567+7UZSh0/vo/A8xmBDD+e +p+X+Jca3MzztAs9gZtdNzL/leW3uz5oYvSa2bxPO8vzKzmJd0PkfzvzdCLbO +RDE7FMnwUfsofF0JFn6Ap3mF9/p6qewq35/k662+f+Vv2N/h6x3fH+LrEd8f +8RR3QC58/4GvF5wufX/C35Df5/aZ5/c5X3Q5BBriFp4/5/ae59u5XPT5aTPo +M8bV7UywgENlfffju4Z5i3pu/lyVMH/uQrf6bQnz5249iJMwH5fXc/MhXcgX +/lmyLEEf4CBXR1inUmU79MPLjq7xsiWMduiHlxgPMO+Hl6gPmOPN++XtICe3 +/PyEPoRJ2NVd7j1DvhvteDneVdzw2C8v3XhES5j3w0v3vE2QMO+H481L3o97 +/iC+NEv9duuVRT5HPbe8MyTMn7v5b5Uwf47+AWMc/lyHkyVdqA+9hn6Ab5A3 +6kPegNE/2uM91jPA6A946PMR+YBgqf+QA/QbMOhHe+Cny83O5G+W8xr8BQx6 +IUedj1clPfr7ZKkfwAd2QJ8f0ZK/sBegB/oDfuh2zC7fgz+AMR7sDcaD/ul8 +SpJ0gA+63JKl3HQ9iJbvgRfe635XskFOnM86nalSD8B3yBF0gc94D75yugGD +Hp3vAVKOXG+BL+oDX12Pow18BQz8dT0PlXLEe8gR9KC+rgdqX5Hjx+0p6oGf +b9YTtc+o80H5o256sZ93ROCH+RIk2+n2OdBgp7leAgZdqM/xRj2OF19HuL3i +fALsHidK+j18neZ+HOaFTqe/7Af84/3qfrDNcL4Jz/Xx7YZ2+viKTozj1jfo +0W6Dn4T+wV/dj/WX+gr6MB7q6+d2/OU85XLHOG8e15+N62cYFzDw1/1KG6tv +lzD6A96or9Phz+jwM9Chr8M2ljewsfp2CXO69byjEW+Op+7nG8d5s975/Zd5 +5y/fAz/MG4wPmNfDuLydJz3hdKE+6AB+XG+5XDmf/5ufz/nD+Y35jv4A6/3a +mR3m82i3jEfc9U9L+63btVCJ15v10sLsqYXNgxSDXgLmcRrWOdANGOPzdU73 +f/j+ktIbNz3hsl99XQlgfIiQ9bEeoj5g1NfPAZ6W67q+DqpzgzyOBP7gt36O +LtiQh8O6i/51f5TvS0ZIPnC83e0jZT9YlwGjvZ6fMUn5gR+gH7CenzFJPwLv +9f2QMJZ/CpfrGfc3gQ/kBXzBRx1/Ly/Mbz3PGSn5hfc6/6KYvxAh5w/6B76A +IRe01/kXzfQqmvEnyuBn6fKOlvPaza87cl671UP5x2681Tk13U5wu5jD5qHK +u4G/3H/k+WZ9vz+VxVWphrwz9Br9Qu/1vHeG5L+e77HL9+C3nlcLZv5tIINN +LK8ZavBX+b4A+of9QX/6/oKVzVcby0MomOeh0b+eV7AyPKySfj5P9DxfGFt/ +TGwdiJD4YV6hXz0flMPWxRziegN5Ynw9X2Njclf5bcgNegoYegw58HM8+jn6 +0wyfUAPeqOdpXP1cSyzL+8dI+SMPr5/riZf9ecJTzxsmG/atMB7eA+bnRkEn +1lde8nPweI74QM+fGenQ90lVns4T3vr+UhKLF418BAz5Qs890a2fL0oiPU+y +W8YBby4T5Lqn2zV/OT7sBJej7pcHM7sZKvHR36cwPbPI93peIFTyB/NW95/D +DXkKwHr+VZ2T0/UE5yfMLC9olvMBeIEPWEdQQl6A9Xg6WsJoD7vE+9PntbEd +YMgHeqfPp3iPctDlFO6Rr574CFiff/GSHryH3nG90OdjhoT1fKSSkye5/d9y +Mkv90fNRp6Xe/d96ptoBBr369zUqL6r7WxYpFz3vqujmegA+6uMkeOQr5xvw +0u2yxSOePI7Wzz/aDHEu9AN+AfTDzdcAlo/3Z+tFsFw/8V73o/3Y+snPcfkx +P9Hot0I/8J6fw9HnY4CEgY9u/wJJj7/gB8F/3sz8VZOkE3qk063O24FPwBft +edzA/WLwQ+dzlHwPe+HJb4Z94XYA7z35cdzP0+nxk3ihhJyBJ4/79HqnDfsc +aI95DNhdGv0s7ofp/QdIPut5UXVeDfMQdHI7C3usx193JF7QM9CBeQ+Yn8PD +e4yPeQz/l/sFgHX/PslgB/RzHUnMTiWz+CKZfXeULPmj17cxe6new87o399Z +DXEMPz+u+/lmti9kNtihN/v96QxfFWfo55U8xx36OZZ0OT/1PIoxL8LzJvxc +gb6fHW3QG27P+bkwvNfjARX36f6j5zgQ9fi+Ko879PNMNo9xCOTP9+14HO8p +zufzEPTr55MsBjnr8XG6tMP6fnUWizOzJB89xYWop6/bdtm/bkfsbJ/GxuJo +O9MTFd/hvX6uwc7WF3V+B3ZL1yvjPpSe3whgcvGX9GId4nG9HmcES/3T/XXj +eR68hxxh13ncDD7hve5PhDP8wpnfclWO53rs8Ov4Phf4CRjjAYb+wN7q38nG +GeIS4M1h/TyO2vfV1z0zsw8W5tdYmN+jznfq3zF6ynOmMnzVuSvojSc+8/0L +ngfmeWL9HHuw1APA/JyXbg/9/2telb/Xz2+Gecxzcr2BPcF76AnPQ/I8JT8P +q39PrPa9sW4Dxnv9vFMws/en/2velb/XzzeFsXlzR9oT6DXsR7DwSwDzeaC3 +j5T8AAx+6H5KMpu/ZoO/in5BD2DdD4uW/EU97hchn4L2etx5h8W10cw+RbLv +gSOlXwK6oN86Hsrvh/7p63KaAQaf+bkD/RxxrEFP9O/2kw1+Dtrp59FjJAx5 +gi79nLnKZ+l5pVRD/+AT8Nbj3UgDX2GPdL0w8gX6BBh81/2tNObXpLG8dzqL +jy2GdrrfkyrtDfik53mV3wp6MU9RAk/oA/QL8wgw9AP81PNoZjYPzbIEfhif ++6FYF3S7EMD8gwDmh+w2zDt9nl01zHPID/Sivad5B/0D/4G/fq7JqHf6eVSl +h3o8Y5F8wXs9blDn07h/Dz4B1u8/sEk+6etopOxPP1+Vxvx0dQ4I+uRpXmIe +6d8RW5g9UXYJ/fLzTrDnkLOeB/E32FF+rhDP0S8/x6jrs8oL6HSqc4C6XDIZ +bGPrv43NPxVn8biLl9wv5+PwOERfjwLZPAuWz/l8hnwxPwFjXdO/EwiV8tPj +kFipd3iv63Oi1B+eN9L3MwKYvVDnhvR7TpJZfKHsC7/HRv9+KFXqIfrR/SUz +k8NDqWfu/h6wODdRwvp88ZPtoQdor+tJooR1PQ6Q/pvOhzg2D9Q6DfmghD4D +htz1emofnp+7xvg8X6TPK7vsRz+/FinnL/DW7ZJxHxfzTrfzat8a80ffz0lj +eZw0ad+4HQEM/YSc9PiBnysJlePo9kn5v/r8TJTzR8/PKX8M6xH0UD/vfIed +64hm9ieRrQ+J7L4mfu7ZJvUQ8nKP84jF1Tz/lSb5xffndL8sXLZz9xsm2wHW +v8MJNXy3AjuB+uhf70/xn8cf/DtX0AMY9gB6gHmur0tJEkZ93R9S9cF3rHOA +0T8/dwV+Qx6A9fOu6jtpfR/lqoHfgPV1N17ii/FPLehRMT3ogrSz3eYeTXm3 +m7oH8WCnpJnvHFLnQCd+VvTejonqu9sHic6f+n4fcn5e5pCj5WL65lfT01rf +qO8s1/079OrH61Sc3LvZL58PsRyR60hrZ/efqXvq0K53iLevtdcVmuQa/7ac +H5BD8cbO30VZP6uXs8Ftqvv8kt/gulflfAMf6rkQu04FWo7bHl0wTr4/c9r5 +U987wW7sKDE1rs2eG1TeiV7RPVKubv6ouBGli4yi96Qe+/7s/N2nT1x4qn0p ++C2oD77k39I0cnQ+9T1zdLX453PHqDz+YquTQHWP1yIBA9+27Z2/BMpT20lo +OtuX9fKa9Y5TPuo+vBvXnT8zhbtK9X3UHFGPf//72inGf9X9gi42tlTfeW3e +6PypvGN8mz0ODqrx3OSmUQ+XXNX3Ud+NcP5UnEdCH/j3s12cbO+UxviXRhvH +l1kUes34/ekJl56rPKKLXVZ1n9zjZTXO939spboOrm9pqvZpfnE+XqbyYvOc +02Ou2hdA+dtgp6ZZyaUOndT5FPBtrXMa/Gojlzhqqfu2gGeF2JvP+iRn05JN +lmFlX1ygmaUWNikYcJTWn8/rPW1yDJX7PrV+211HqOQI321LbybR8yH9/tmX +foCmiXqLRburzb5KfWG+SvN3Ndoy6lwoPRn86ePBn5qpYhnnzySfo96mLy+N +Onr7NlnLj/g5cu41WeJ5rSsxoT4T4+hRk8Dpt7rdpncEHusEXniOejkCrxIC +T28x7l8Cj44fjRh+4j2Hf3p26aEuZKZzH7SueSs3k35YXeFBq/gkyiq6atYN +3xRZFkho0O1sgJ1q1bg4oWDrFNkO/aAd+pk/z/mzk3VA02zHn2yHfvAc9dJi +4y/3zblE+/avPbCgxRa6P+BGclDXRMqkF76Pbm2hVT19/zO3fiJNXnR3Vonl +u6n79F7Ws/uSaObepw/uZK2h1uvbxDSIS6M6DXdlDbu/jUY3Cv19+JM0srzq +EH6tzA5qt69k7tZmp2VZelr2t3NO3KCX2ztvPJoQTHu7/r7+cnwCXZuSb9HI +PCHUeF2T9A3rEig0YvKfobbzlLon5cjUoxba817CX/PbnqbY1Op+64MsNG3g +qxN3552m4wLvdEHHxsflXz75VZUTZn207tIf0fRFVIlNI16EyXGBx4rgXzvc +8rkly3pHy3x0tEwydctY0zpjzU2qE1S82ca2yeRTwNT5036RVGX75j7RN21U +d/O88E8qRMp+MY5Ty01P79Pth1fHzBh2h0qnBzlm3n0a+CRP1vLNd2llX68u +BVZlUbdGwfGR6+7IemjXVdSrJtp1f7V1oPlOGu1fn7r6xsxYihFyuSfkNFvI +5Vchp0jBx/2Cr0GCj00FX0/2Lvz1xiF2GlF6UO3FBxJonZDjF0Kui3ffTqqZ +N4tSP7EsOxaURJf2tK1F623UvP/Ze6GjkqiT4Etdwachgi/gU6eCub+0aOSI +X132JJlChNzShRzHC7nFCTmiHtp1mDqkfaGOWfRrQd8VG8c43jdw69VnQs+y +hF6NEnoGvoBPJZpejs37m436XbFWWxuSJvkMvoMu0IlxMC7kCjmPFHwC38AH +8AXjYNwNFU+urnjyqIyHvEs7f38Yzsfr9Uw0SPgBfcQ6j3UK/kzUmU0/9vvE +j2o6zXGNW4bzCeeczUIOyfUH67S+rvpTHm1dDaRNrnVKnZvHOob3636qGZoc +nEm90y+NGha3jio7h/FW38sFzPqpfdmq6lx9+t5WZQpcz6L9Ie+Nv7ftpOwn +RPhZaPeHa9yTcj38weXXnBXrw3XD+QTffRHZbzUKow8bFj5QaYC6Hwj+64aw +Kkcmj3KsGz1XH1oYlkHLXevReSrwW5X+eeIy6dHhOdterA+j05EnU+p2sZN/ +kk/uxOqXJF8xDvp9NXfMmalrrtAyMa4eZ56mugJP+Enws06++nzJtZLRsj7k +c9Iln5v0TrM7y3b+kE67PjgcOa7GTSrudKtKZFFJ06kOT7OvsPX8MrUb/pMD +A3X+AHJGv+DfROEXnhDj4D3aAS+zc3lOipPv4R+/5cJD3a8Dvdkm+Ao+g174 +jWjH77/BOD9Od/7S2HvlR8tzji7/wGzwM8CPzi6/IoleOtn8XOUl4Ffw8wTw +7+B38nt3gBf8OH6/CsaBfzI+7eW+P6MslOh0U3apfXX4Vfyejxp5Hjo0K1Xq +IfRyt5A79AB+qfRTBR/Al74ue6Dy3vD7+D0qqAf+NXf5celU3smGd2ysXpbh +vMKzWu7xvxHzHPMe8nLHJQ47cNI5X4ZKOpPEvMI8gx5Dr+8/d04kdW4efOH3 +oYCvf5RdkX/2E3U+of0QS2S1eOP5A9SrVOfTLwaNV+cP9gq7AzsUu9YVcLHv ++/0Jdgt08/tJwDfonyssuK7uH1mZcGVFwhV1/4hTCxb0sNN/Ovx8IsB2UNaD +nYHdKeyaVyfY94/h1FbMc3ccor4fgh6jP/jteA+6wQfQ+afN9ZN4ov3wwU2O +ni8UIEs8by/w3nDs+9cVotX9H+i/hZA75FA06MoP57btp13J0ffKFVL3f3h1 +fti//EE7rU3pEeHzKIi+/frR2gLfGvf777rsrokcRrZ8/n7G/f2xk45s35l8 +kaJrzomqOUfti3dv9dF7Rf5ReRHEUbCDkF9lYZ8v/yfWJ3Oy8TzA/E1z92b8 +dE3O90Kudfq2nBeIy/4W+gG7Bvx9nOJ6S933gbhxtpAX7CXiQD0PYqH8wr7y +OAv039rwYb7rX8fI8fofKTDwSIF4yififH7PCfiEvAO/x0WXq4rzQTe/HwR0 +QC7vOKLKPzqkUk1XAsN4rwrkArpA5yMX/0IM+/vQC8iJ3xcCvgP/nZqemSjd +aY67Z4r1W3239U2p/i2CroQb9vehB6B/mtM8TVVy5HzWz9lEkHv5UXoDPRoj +9JTLDXBPYRdgJ5BPLHTd3KNUzWNsvT9B15edGvboH/Uddf4fwm+0XRNHMa78 +QaQs8XxBq4IVp720Uf+ZI0M/n5xC45bN/nrEhUzq0jbzk/c/dsT984au/OJj +K60s4zTMFhpU5vf6y2umy/KRNeb66OrZdMa//d4qfuk0o8Djk81rZJP9btgx +/9Xpsh/0i37Q74CLLfLk+z1Tlgd6b37cuJydfIsUuZm5KFP2i3HQL8a5X8e7 +SvGNWbIEHaAL/aDfjbW6r6vVPZjeL+X8raLDx2dUebLoHtXJvdL4YClf6lWs +4bzZFe9RSLPfex7qvF3WQ7she7MaTDt5g6KiJzRoGRNM9rhZS6eWvUMvvZwM +vSifo555cab/9wviKav3yDHV1kbQX6LeE9EO4wIPjAs8amY+LDz8rxhZoh/0 +W9ryYfvyA9Ioe/NvlW9dNtMKl7+QRvkuVdr4bbCZ5jT64NRX1mxqsv31xEvh +KbIe2qEe2l2akZrYbUgGNf5yS7ea76bJEs+39zt2f3iklUo2GtPx858yZInn +f57t2WLbtWwavLHgnpkLrHJc4IHnqBdpLbnn13kp9FGfQYvmnBxKM0P7TetU +3ELno7uW/+7xAaJmpkljnqZQn4Kdh7eYtZfyhG5s8uR6Op0L3lb//YLHqcLp +q8f6Dst2rHOdZx1KWkwT3q2xcUqQlZIrr9zZ+u0jch/jo/ORZSfN/YLytBr/ +0YZX2dTSf+zmhvUv0KMLU/IvDV6q9uGzLKOftTZTYIGYxrGTTLQt9yfvqzNT +KTNh3ZPgiItUMCVh5LulHP5btQ3p9u8u0chnsQXCdmdSzoTlQ/zPX6QOBaNe +TjlopmINujaZkXCV3qm9ukzt1Wa6MO/liXkvL5N1xt29NMLB9yW+b09oe5WK +2etljG6bRiWn1Jj/7fQrVKNI3QGtBmfT49wNtRtfv04H2pQffbloCs1r8lmR +Wv2jqZsrL5lC0+jvYfR3NM3Z6v3pd4cz6MPiXx6a3/g2tdzx9+Ba5gxKrbqz +Xt1Zt8nU+b12ZUpY6bxXjmlc0Wi61Kik489CUzYlT9uUfJdaD/d5ae2TSjvm +3qo3KfMetXuUv8ej/Kk03OXf3qMLvWedi21go6LzepedlHaXNs8LGP3FjzZa +sHpWpY/KxlCA/+yFHR1+x5Ba5qOPvFSeG3nvF1MOBib9nEFTnwwsXH6Xw9+v +kqdMlTyZdP9gYpzjj1bNLXrsl2FWGlfzk7qlF8bTEcF3yAF8BF/PCz6Cr9Ab +6FGo0BvoEfQGegQ+gq/gI/g6SfAlXPAJ9hV5R+gB9AJyhFyLCTlCrrsFXz8T +fJ4g+NpZ8PmM0GPoNeQ4V8jVLOTYXMh1iuDjS8HXe4KP4KtF6D3mwQoxLzBP +Hgk9HSb0dpXQ47eEXocKPYHeQC6QE+YN5lH9moE+AyxBdOBhmY4zDtjpidBb +6DH0xiT0aL7Qm01Cj/5tYLtXY62dnWMJphtiHYNeQc8QV0Iue7+61ijsqPrO +Hv4u9HDOnWPzvcvYqb/Nt93WNUdobXDu6uDco7Shc/DqzsEqr1JV5FkefzOj +TeDN43KfEnkGPZ8SLO0GniOv4SPsDOiB3w988Rx0v97dan2bGHUPfd8JtU7d +XRlJjbctHxZ1fjf5ufI86h6If5suzZ/3ShI9eNVsfPeB++XzXNEP/IaLo87X +vlVD9Yt+8H7a7Bdx5iFJsh6e+96e22drt0iaEbPpUas8dno4/98SVx46/Nbz +eZ5XXGWX7VD/t94VVu4akER560e+nF/aToda+W5J6ZZEG7/cFnDwvrqfwMd3 +QPSZ5J3UYo7tmn22jXrXLd8rX8O9dE7476g372ztvj6bbtMAc9bFkfd9yXeW +NTOplwMOOXHI23stlRhb6/XX7yZS/XDvvZ+tO0ybKp85sXNPEnXe73Dnhq6i +P0S7OaKfjqLdYtEP+FG2ULGuLVsnUr1GXzaos28K7VjyNKzpqERqIvotKcYB +nfHOMGhFAuVsnDlkWkMbpTR+Gpo5NIG851eq3W2AjQr5Wf9+OSGBjkwetTp7 +tiMOC/1pVfCRBKol8Noo8Pz97bk1fi9ooxnXrF59piq5bu1WZWz57DRKqOjk +9DL61cVvtb+88IBP0MPf0mjKFzlDtu61U9uq1i9vNUqj1m2XFn3rKzt95irT +KFHgiXY3BR5HBV4YF3igH/SLftAv5lVbEa9h3mAeYZ7kiHmDemiHfUTME+g1 +9Bx6tkTo3bOavgd/duhZ6SNPd9oeRFKq0POXQu+hZ9A76Bn0DuNg3/S3IU62 +TZb79UOXefXqf2MLfT26z195s7NphNBL6J9FyPVPIefCQq6Qc53j3w1KX3+E +dryc/tna0soPh18OuvcIu4R9Ncz/ukVC6xUJzabpm1N+2Jyi9B7zICxnyaLU +w+dp5rdDW/Zdpr7bauKKm4KlnkJvOy0833aCKYUCqlu/9V2xlX6Zc3nEwF3q +Po5VQo9OC7163rx2ve+/SafxJ1/3WhJxSJ3/+6iNrcm7gdRxfuCEhM8zaWyt +1QOWVulOyNuAr4g3b4i8yLzdH/z9/mZ1H8egufGPRtfbRwVOZ1ua5FXf4VUu +N6b7k5UXqX65Ermdrl6mojdmxr1uepFeiDwp4jLsx2+7nb/52K0X6JshqT3+ +KZNK0aWWlTh6P5TKiDgS9XGupE9UnQ8PDjXRwsulg1+0z6ACJfJPnTLmlIwb +EUc+FXEh7Lj1q/KVl3XLpJpfFR+8lEyUJuJC9N+6vpMPc6jWs8NFJoddpn+f +zV8y9Isz9P1Xz44UT4yg6SLvjDgP8nKlr6ZeI/+wInmKZqVS3jLVVv67QcW9 +H4g4uFW+kn4fbFL3azTObDXq/YlW6r5966Lo2yoORVw6aO681UcDs8ieFFKz +bNY1GVdifPn9iYiLBx/0f9ax1VEaEXag0eoZKu+PfYA5s6YnhH6dSSE/ZL2y +1owSeBvPqfs+T44PiYiiEe882tTpbRuVrTSwW8+VN+mXF83aVjirvrPJ51e0 +yj4vEyXkTh5bbLzKs9cSefcrn245E33VSh2p8dC34lReD3m+kd2mBfcd+b/u +y9hd+O6aYnaa9HL+zKqz1LlyW/5Jjbocj2H5NXUfBvYlPt3y5Fzcq13U460d +P45tZCVvYZ/4dypDByV0zPejlcrM79j1xRULzXftM6m8Leqf/cKnSxtHP9NO +tfI6VELds4w846aI1w2Hb1DnCHcmdrWeu2SnJnl/m5NcMpPSxo3ft/xJEP2z +7WDVf1tl0QlnmviSus+irteax97lz9HnjaLGrPRR3znudZ2fyKYadUzRZwpn +kFfSx4en/KDysMjLfudMRw9V91cgj4t52yDo2I9r62dTetVfP85XNIs+de3X +qO+QkPfj3wUNvZNzonbHbDpnmvJ+b8e8rRNeqm+17SrvdlbYr1FLV6Y8rqzu +p0h93eTzlf+EU9DA0YknHP5ccbEvAbm51L76bbE/Z5d5erxvvXrxksm5mVSx +82Of2uNsNHPmrrrtKqn7J8aUXdOv4ei7Mi+U/PhpyvU6dylm0L8Jl26dpaKP +f6vSs4i6X2Jt8fMV/illptMOLXjv47Nsf+A2tRJ4AC+0wzjI26wLWtolYIM6 +d77OpW/qPgqMizzQPmc64JX6f1b8L5R6r/gf6txyg8TqBResTZYlnrvcSt9k +erfU5q7tblrkOBjXf0vcvi1xsRTgTDsNTKeebx2oH14hji5Guw4SyHGBx6yk +fwrvtCXRrpEbK+7akSnpAF6NjzTdWm7LHdo3+7ukw+uz6JhXqRnxne7Sjtzp +7cp8ky3xRv0DcQ0/qeSXREtWb3srOtcBf+A1oNKyJCrUNf6bXv/Jph7Cz4Pf +V3R/Vv7FPVVZTvhh3A8CvMvW0GvuX3fpbhX798kpx2nkppDmh+7cpW2jzeaQ +3ifo7OwHEWlnEyTf94XkdruckUDbD9eoMG3Ocfo03/HH99cmUMOpHX6vXCiU +tnhTp6sZSdSw78bM1+2O09PKTVJb5ibRi9U3Zo72PklBu1oO3H9MfQe1y0W3 +hW7kbZMyrvJxOvLh1rIr8qt7CsokXm+3pEsC5Z1UaNhFrzAq+llJ24lqCfSl +z6bVYyddopKVq0/zXRpPU1O99lb4JIK+X1w7zMseT3GF+/yc58FlcZ5J/f9U +XzmEVumJmaxHZu/27n+DkgTd/oIPGwTdIwQf/DsEP3l1577MuzZ5mVPhhwL3 +aUfMnp96nVH3N6DeHvG8hagHOsHHtYJvAYKPTQXfWgs+gu6Dgg+FBN1lBR/6 +CLqLCT6AbvDhnqB7jOAD9MhaMeacT3Y8/TjL+bNShTa/VGzzSzzVcK0bWXQ3 +dcH1tx7E07S7B6rN/yqbLpkWTBpXN4FCu++ObJSQRe+Grm28NE+ClCvk/ErI +FXIeFJ679nmjDJqVM67D2ZZmuvqZdcu8wpl0zVWa6Ym/rXzz11bymbtrydvH +1f0OkFO2kEs/IafD79Rtda+qhYYvLPSk/St1n8NxoUcRQm+gR6iHdqC/u3PZ +62ahxIpD/Ya1y6ajhdNyQwtY6HrgjuS9ZR3+lqu0SLxBB/C+JugAH9Ev+DhD +8BV8BF/DBR/BV/ARfAUfwBfgif6BJ/AGnsAb5yTTxLrSdP6JNgvN6jvqBSKu +QbwCPz3/187I1OFfCz9ypPArk7P3z/qp/SXDvQVNXmbuvFZ+t+R/8Yp/Hi6d +e4rW5Svs13nYeenv1RZ+3LfCrxvRcujDo7HqPgf4SfCbNuSumvuypbq/wetZ +/ok9ve6RefzagY0m7pDni0s4t8/mHaHGbX9tttwRV3w40Tfj4zNbpB8Pvx54 +AU/gBTxBV5qgs4WgC3SOFX7nS+GHwu9q/ariH8sfBNOtT1r+236+uo8hXvhh +uavdfpnrWFC6um/hpjgXiXUc8qoizvG1EX5IfeGXwC+oJ97vEX4J+itcYknk +kMLqPgb4ow/r7mo8tcMZxWfB92IiDvhYxAXA+46gA3SBTpzbhL+Lc5eA3fw0 +U1nh/8LvsAg/BP7Msz/XpT7yvSTlul7I2eVGhdjYfp2N5kzp+NvfBZX/3FWc +840SfoZZ+B1FRH4K+3U4L3zWFXjcpRqO1b3dsiz23ZpV7HffoQPLfXoVa3iL +GszxXtyqYDxVF3TgvCv4MKp+9e77mqv/fxzniPm5T6zzWPfhr24Q5zxzxblN +fF8s13GxrmMdx7rOz7VWdzko6l4a+CnwW97e1zHu3ys2mr/4Vaf781IkP//0 +vdr3wt4U6WfD7wY/Vrj2My00+kLO2aTZZrr7+56PzjZOp777i1Wdfj+bUm/2 +Pba5qvoeC3YFfjH8ZPQHv3jg/ISx9f/XffJTRJyLuBf6ubDdgPCftmbKOAVx +C+QGOUJuGGcRO1cMOvj9CTedx+oGZ8o4AnEF4gbEEajH70sYManmz2u6KL8Y +fjLOwfJ72uA3w846Ty88OJRJvf5z9MspW433J8wVcX05Eech7sM5bn6/AuJA +zBvMo7li3gCP9uJcNdoniHPN/H4FyGms370Jxaql0/1xKxNTHXL3T8hz7f3t +6v95kd+75J7LXvd2loxrEOfgXDG/dw9xj/THRb/oB/32yBN4KjDFRvkmrJhU +JTSb2Q275CP4Cj6Cr4j7EAdCbjyuAgy/vr1rfu2kysNsA9q2Vt/BQy8hp54i +rm0m4txhIo5FfeDzc7POK0e9t0XGnYhDcW4bdgT8CRRxKfizd/2tWc/PnCCf +Actm9JpuvJ8hxHX+5jQ9F+eesB5An//e2jxqbIHz5Fo2ItV99ogjz4u4UsZ1 +Io6kcytO133Xzr5TsVKIM31x/gpVzgrx7V1Z3c+wX8QtiGMQtyCOce72l8lR +9zMcFHHTbhFHmUTc1EvEUfxcPc4V4LuYEBFHIq7EOgr7WzZjT4PNzcPppGtf +y+Evijwd8nZRIq+FPFdXkcdCXmuH4Cv/Xgp8zifySsgzTRZ5PeT5IFf53YjI +82Ge9RV6xu/5gN7lF3k05NUgd/ABcpX5DqFn0LsPRV4NeTbgDz1Angt5r5NC +rlLOIi+FPBXyUOh/6V99NnSvFE8hLv6q+xEai+9ElgYNK2DqrO5LgB7ze0ag +1/Bbigg/Jk74LbAHyLshD4c8G78/AXoJvYUeI4+FvBb8BHwHg7wW7EGeRbHN +h0VEUuKZKt3n5L9Bp4QevS306tS1wc+uRF6md/osaxR1MYoaCr/hkPAj+h2q +k9MpLJa2t+nZIi49inJO1ujxamsyjfCOPbA+9TY9En4s/FrIJ034idcmrqkd +VDyNvJc7GXlf8nmZ4DvWZazTPlEHv4s6eIcWu34pdGRw/2S/ZakUszezUML7 +yfTX385fDN0ot8/xZ6G/are5X/FKBDmIDB2RkUbLW4ye26heJC14ai/yvEQG +XY08ceDRuXRa0HrNsB6b0uiHfqdSy21NpV4lapluFMuUfgX8jPqVHv+++BMb +Hdx/Mu2DNTskX8CnOMHH3IVuvoIu0Ak8gTfGwbjAA3hV91v40mejjXI758SU +L2STdDwRdIEO0AW6nwg+QA6Qi/RHhX/mPWF0yW/7q+9ffR+tWvfnH+r7V+jJ +09YPoiqdiaSdZ8utjs1Ko6bmwR+8bmKTcoBcUH9S54h/Ivsk0f8ApQ0v+A== + "], {{{ EdgeForm[], - GrayLevel[0.], - GraphicsGroupBox[{ - PolygonBox[CompressedData[" -1:eJxFUrtKQ1EQXBKMgXvAb/A7LG1SKGhAMKKF8YVXzfV2SWGRbxDE5w8IwUge -vfoFRlAsTBdSKERIQEtn2AGLZffs2Z2ZPXtmy0mxkjGzeVgW1s+ZfcA6SDZh -Cewb+etgVkf+Bj5GrgobIT+B1RB/mdfWVP9r7l/M68awGeUmyleAtQ7MBP4e -fYsQMDTPkTsVxw9sAGuLl/zn6LmDf8ibXSA+Qc8l/Ftk9j5l9gp/gHMJ+UP4 -FLaB+Dg4D+NUHE1ppvauZingvga7xflIOqhhIetnxqn6qPk07/kd4PdyrqGO -85Vme8T9WXDMYuRcE73HMnItzdWRhkS+Iz28b6uGnudP8/doK+Zc1EQ9Xe2C -OGXwLoFjMzge90vMreDc29L8LB3cM7Gou6S/kKivrzdhLXs4Y0F51nHunnDW -gt+Vgt8X1Mtd8R25vyfczU2bZSLf80j/pCUOzkVM1pCrkfFZYu2lod0QbyXn -uRiYq4j3g7/PWLjkY93A/v/oUH+zqjfkX2Av590LjrkbnCcW1x/cBoFP - "]], - PolygonBox[CompressedData[" -1:eJwlkF9KQmEQxYdb3oQ7G+ixt/bgBnwoSCVIKfBvmabmYw89iDvQiMraQBAZ -0Qrcg9EGdBv9DvNw4Jw53zdzZg6ao/IwMbN9sAsO82bfFEqpWcvNpugfdBXd -R7+Ae/gntSf4Zs/sAz4Ac97OwNFOvHnG3+Iv8c7RQ/QD/jH+BP2KroMe/gm6 -Ca9kZu/oO/QjOkEX6PGXM/uFr7Pgyqisbx69vtALeBeM4GfUeuIes8fKCL/2 -8JRJ2W48dtMf/W177K5MynYLLtLIrOxVdDGNm+g2HY/dT6ldwZfKk0TmlcdM -zVaPMfzS461upFs1PHbXDXXLcha7a0YN7x+PJjTk - "]]}]}, { - EdgeForm[], - GrayLevel[0.093], - GraphicsGroupBox[{ - PolygonBox[CompressedData[" -1:eJxNVM1L1FEUfY4z8xt/8/BPCCKMFkXloibJFtl6opmpaGxh9p02Y62iEe1j -F0FhUdkHfVGb1CL/BG1tCykIIgUxcl/rzuEcqcXjvt99591377nn/jYONiuN -TAjhOlY7Vj0fwggcvVg17KtYK/BPZUOoYD8E/4L93JeSEA4aczKGMNEWwpZC -CNvSEDbhzlbYOfg/A/MBdhz2GtZ80Dtjeb21Gdg8EriL+0+jzu4XdD5u/C5g -bsD/Bpgl+Mp54ZkLc5rB2fes9uu57U6Eu1dQjquJ6iCOmB5870kUYyCqllOw -bcUQ7iB2X0cI/Xnxsor7pXblxHyOwB61v5LR9yHHJHfD2DfsJ+ZcFH4YthHl -+5koHuP2Gl83J+TjV1Y1TkbFm0AdF6NyakbV3GXMXuBr+F5E3E/gfRr+d8C8 -wv429q9h3+K9K8A1OxSbb3QCvyNVnO2wv1Px8ycVd+R6wpwve/8SZ/vwVgv5 -zGD/EPj3sGtZYRh7FPYH1gbEHzS3A+aAnJCzOmvJYQ++a+wDViuvnrTcx0dR -sR5HYUYdkzledd9ZB/XGnj2xzp7BDkW9cxN5no3qy+koLX3LSU8L1gPj1HPC -s498n+fMgW+23FPWtmTtsV5+d3p2+j0/ZedFDPmeybq3OdebUY5jxlN/1OqK -4xBLfVwwX9TO4aL6e7lDs8F7I1GaYF5nou6x78yfc8hefSmK10qieqgT5kEM -dUHtsZfMi/5Fa7thHqghxpz9rzd877hrIf5B1He1KF6nPKtV48nh/lSz212Q -FkqezUvWM3XNO1OezflU+znri3kzH9ZCHVADszibxNnHVDHL1mfZfLIHX4vq -U6YoX8k8Mx7vktNl63x9Jqgj9pS8kB/OO/vY8L/xBd67BezzVP8UxjsRFb/q -3vMeMcRzztnP89Zgj3EVa561UMtd1iE56zHP1M609UMdUzvHPBO15J9OGYv8 -soesjX3hf3fN+uxLpfsDqe5UrYedqf6/3al4IJ4c/gX8bcDy - "]], - PolygonBox[CompressedData[" -1:eJwlkTsvg3EUxk8vWn37/xIiGhL3QQwY1C6aJkIt6hY0bZlEmjCLhJCousQt -TFSin0CL2UQiEYsY7Mx+xxlO3uc55zmX//M2pHOJrF9EmokgMe9EvviOhkQW -wHeeSIlCX0CkUC/SDt/2iTSR6wTfEkXwCEPyEZGMs94EfBHcSr2Reoj+GP0t -xFudSA+5OLUqfB39GnGIPq9Bbwq+BL5As4l2gNwZOM6OLZ/NbIMvw5N+u7EC -H3O2O8WOcfCQZ7su6RkEd3h2+yrzi9Tv2f8BLhD7znJae0fzg7abiAXtzfp2 -9UC90DeX4bPoM+xL0jMHfiJXpraC5ipsnqg3N+QeqSWidtsEsYc+y7zegL3x -3DOP/r2Cd8ErYevVmTq7RlwHzUP1MufMK/1nWfCvZ7cnyFXBuYjd0s8NWfAL -+3d4yzea16jltLYBP0V/4hnWm/Q2f9S0z8yrMf/Y2b/Sf3QEniaGQzZzCjzj -zItP7tmlf9IZVk0afODMa/Ws5OxGvVXf9AD+A8rhUwU= - "]]}]}, { - EdgeForm[], - GrayLevel[0.155], - GraphicsGroupBox[{ - PolygonBox[CompressedData[" -1:eJxFVD1PVFEQve6+fe/tvGf8BRYmaAIRRA0hAVkTsDNK4gdWGtHSZJeYxQVX -g400QuNHtBNX0MJEUST2Ahb2VsSPRBB6P2rP8Uxi8TJz7507c+bMeXfPpdqp -aiGEUMNXxHehFEITzif47WkI93aEsGIhLJn2r5ZlTxcU8x77L6IQ/sDezUNo -xLgDu5mF8B25NmDXcDaJO2O424PYTex34u4i9h9h/Rq2gvMRz8nYBfhH8ZWL -yjMPHPWyYm4DVwP78/DXEN8NvwV/Gf4u+NMF5b8c6z7XJ4DjOPIsJCH0FuXz -/jD8KdidiL+I+ATrW1ifBaZ3qHkEteq5zsZhO7AfIaYN+4PAM4OYvanqECP5 -qhdVg5hOok6/9zODux2wNcSn2BuNVSv1mruD6hPPLPI0csVcg70DngZi9djv -/JOfORMXVWB5mCvHAVMO4mRfnaY+hxCzUVI9Yn2FfIuxOGR+4m0viH+eEXOf -+4zZRp6PiNsy8Uyf3HL+zMfarElOWLctUl/sZTXSGXGtumaona+ms2+wD4B/ -ArXu5+rxfEl99vqsie1cJg1QC2cyxbxNhLHPeb6ea/bNXHyuRKr7xeR/NsVO -eI+/sF7H/k+Tltadi9+mnshrt6mfLtiQqUfOfyCVTqiXHueDGuB9csp5VVNh -f4yYuUT6uFKW9is+S+qCtRlPTOyf8yV/rEscLeeCuboczyET95wpY16a7t1w -XJwT/4WDpjnsS5WTvHA9mqrurOfhXIh/LBUmavZ5Ih0Po+/tSFrifA+nyj9i -0h91WIMddC6OmfTF2Uz6DMk7tfTBZJcS9V/xN2fK/0lim/b/n3h+ZNLuFmzL -xAF5fWLi+ampZ/b+xlSr4Vw1XBvcY05iIyd8j/5p3cQLa+434Wk6/8+S/3iX -/Z26idghEy6+kX8BQeme2w== - "]], - PolygonBox[CompressedData[" -1:eJwlk01LlGEUhs+MM+/M+8wL/oIWgRKGXykSFBpou0rBr12htivIsrFRB8mN -btSNFrjLLGshqKXRD1A3/gUtBTXd97H2Ot2LA/f5vs95znN1aLj7WdrMWpAM -ci1vlq8wO82a/SqYVaPPpfBhux7MsrFZDjwQmRUTYrDNUGCf5AvwB2QWXINt -BTxJfhvxS9g20Q+R1/h20H+CV3Nm9+h1k5h6ap8H1apEbyb3GH03oxzP7Q/y -fYdTK/6InBj9MXwm4HMfzh/TqvkAvEH8OP472NbBDcgV5qyiZiN4Hmn02fA/ -p94aNTYj5ezh+xHE1Wf22f+hr2VU46/nYruNr5N+n5nlXdDsJWzL4Alq3gKX -qLlA7XIirr4z310Zf2uknb1HP4XzSVYz+WwviZ8idpCYEvgNMhapptfeIWcx -JU674K9Bs5bxb4GHY3HZg+8n+E2T05/Wm3zD34R+Rr8W8tvRnxJfxLdCzBPw -NjkPs5rRZ63K6xb8TY6IH4nV6xExfXB/gd6TVk4veq3vGH5dxNSBT/x9Uprx -DHw3qLfP0BHU03sfYPuD/iXodrym1/Yb8Vtxjstw+x0U6284CLfFRLv2G/Bb -OC/olv/3BL9KtEu/cb/1roLebpX4zoLEse/4LbFNQbfiM9wAd8Sa5QJbitit -nHbrN+O3M5rob/ib+dtdAslda0c= - "]]}]}, { - EdgeForm[], - GrayLevel[0.217], - GraphicsGroupBox[{ - PolygonBox[CompressedData[" -1:eJwtVUloVEEQ7cn8P/N/zwcXGL3kkhBRE4lC3J1IVDwkmLhFLx5GPagouDCu -I4koegkk4AaChnhx9Khg4sGLCAq5q8Rd4hLRg3EB9aTvzatD0/2ruqpevaqu -X7fzwKb9Nc65Iaw01srIuTwOU2Ln1uWc6widu5g498I79yBw7jn2qdCPpJyr -YIVpyXvh5BBsyvi+gzut2LdA1oZ1AvZ/cScHfwWs5fA5lHXuNOR7Ms6dSXS/ -GMpma07nYdy5ifUYuBbA920vfz3AuA76As73oJtDG2AZwflsJB+lWHeKKdn3 -wP/VQPZ5+A+hm8TeH+vODNh9R6wE51OQP8Eaw52n2OenhZlxlgJrMzAvx/4e -unHIJ7D3Qbca/gtOWNpD4Rkwjvqwz8U+iHsVyEcDcTjPiQNySh952+mHcZgD -c6TvyVBy3l1l9ozTYbGIkxhnYv2B/jz0TZCvCWTPen3KST4b+R5H7nmcN4LX -IFQuxNPt5X+zF8fthqEzFB7yyZxYc+b1Cvce4v47rxqz1gn2YS/OzyFWCXwV -kc8R7F2wrQtk+zsrDMTyyYuXk9YvzIH462Gfgs1LLx+U1zrt1Vgpnaljbo1e -/mfB7ofV9HiimjNPxisnyjWDuG+9sDTg/uFEvkPrH9aA/UGuR43DZYn4aIxV -34eGpxyJr0vQH8gKu4+FiXH5TZ+d1rvsM2IjxmuR+BwDljL8NWbUJ+wXfvN8 -MtB5ptWkKSMcLYnOS7A/wl6bFa6unGKtx744UV9Oj4QlNDzMK299+Mi4TUwW -WD9QVvWL84VE2JkrfdHnv1jvhzytSBSf9+lnL3Ql1G5frDfM3rkL/becYrD+ -nTZnOG/Wh5oFFcRoicT3BDg5mFZ/D9o74xuhjvwyjxL8fLT3yHf52XqJPUVu -yBex0o7vh7bj1g+sD+vN/F57vXv2Nzlkf5CDD/BZE6sP661WPCPdav15lz1E -Wdrkx6zn2fttkK3Fembzipywjr2RdHcR93pW77g51gzjzOK8Ijft1jNl44by -y4nqyzrvisXNffg7GKlX+r3iMB79VsyeNfhlOtZnwGYgZ+Ei6yX21JWseN8N -+bZI86sB5+2hsDEX9uOgzZxbWdVvA/C0Rpo7WxFnhs1bzt2WWPky74LNUs5U -viX28kKcd0Ty99OL5y6bn8TfapwU05qVnIfV/4zh6bH/Ds9vbC5xPn3xqv11 -61P6Ig9fvfzwv3corRwr9hZY01qrB/m7gfy6c+KQ/7pJr/vkZiIQTta9y2Yj -z5yz7K+jiXiab3Xnm2E/ToP+PwVz1C8= - "]], - PolygonBox[CompressedData[" -1:eJwlkztoVGEQhWeze71PUItokyYYwWRFkfjAuIEkYiPEaEzWctUiCoIbSXxt -iKAogmjEFwgqpjFaKiSxSCMWgr1CVHwg6ooWrmhj5zecYrhn7pwz/8w/87ce -rA4ebTKzXqyAXYjM7gAm82bjsVk5MduOP5Mz6yRWxJ8Ct4RmC5nZBjjdcAcC -s0f8O8W/jPg/NKfBq9DkieewJriL6M9w4DPib8FZKm6Rs6vot6GpoF+3xKwE -bkPTjvYYdhj8BE0N3EOOx+CNcJ6iLcLfBO7KpPV/WzP14L3sp759nFVP1MtL -zvwOTokv89xozsJ/l6hWr/EutbcTX48/it2mvolM2rXkr4Fn+ffCVNMQ+f+g -X4l2DP8v+Lj3Q+4WOOPgyUi1+x3PET8SiztPfJpch2KddQ/OCHgYTl9BM+hG -+ybR3QVwCsS3ZOq9TE+bwbtTzWIG/VXiq9G0wt8Fvw9/D/pmuPPYIHgh0ll+ -xw18w9bgd5GjRK4T5LyWUw8nwVX4HeAaOS/Dnca/BL8Z/U/8NvdzOrMD/waa -nZ4LznXwa3IuBtoh36UHoXp3Tn+qGr3Wui8jfol8jUB34Hcxi/UQHybf+Ug1 -eC0T2Cj+RWxHXpxOv9tQuxWQYwX5xmJpK/hl/EaqmN/JL/DSWL1UsDJ4L/l7 -C9oR35WbmXrpR3ML/In484J6/gh+n2jW/u8DuE7Oz4Hu8Fuqmfns/A5epZqB -z8LPGEo0M5+dv4GpWG/M35q/qd98l0eatc/IZ3U/1Kx8R31Xv6TaTT/zK3gu -VK/+Rv2tDqSq3Xf2IbErie7Od/YAuc9legs+0x/E/gOGZ3cq - "]]}]}, { - EdgeForm[], - GrayLevel[0.279], + RGBColor[0.1, 0.1, 0.1], GraphicsGroupBox[{ PolygonBox[CompressedData[" -1:eJxNll1o12UUx5/tv+339h8RiUVL0OrCZcPEMlrG6iacWkwtHS5srqgurDE1 -SPAFzRkibLOo1gsYdDEvuhE0BiUmRCLVXabOq6guVoEWmKiofT9+j9DFw3N+ -5znPef2e8/zmDAyufKMxpfSLVk3rSlNKrSKGxbxQpnRG31/lKQ3WTGfiX9J+ -UesByXdnKQ1oHdf5usz8b7jfktK/IXNE98d1b3aR0lzpnC1+u/Y+yX0v+vOG -lPZpHRPdlqyfuye0JnR3RHdnFNYLr5Lsn7r/o+jPcsteClvrwh/84N5M3ZmU -fLvuT+j8gM4q0Y+LXiUd2yW3FbuS7Wg0PZl8/1L4gO9za479H92ZEu+o7G5W -jGdFH5T8LvGHRA9rn9doPjo7Jdcluqc0byr4f8uPe8ltPaUfmhwLfn7X4G/o -C5lj/U13P5D994lftubkLlaD4nilcG1e1X5YsidFdyb7cKNm3y5GHOTvqnTO -ktwWya+X3uXif1G3L5yT/wnd7RL9lPbRwrZ7qpR2NNkH8vMxeQuZMcn0S+ed -ue9uDT+vab9ec97x5Vr482yDafgLCsseyVyrZ5qcg9bccpd1PlM6L9f8fbUw -faWwPey+qzj+KJ23XXX7WIs6TqtGh7RGtFJpf27PXedtIUPdF9Zcl3mlc3FK -8e4ubRNfBjP3Rl38v0pjC2wWlfFXan9eMqOys0zf5/V9vlk1rOwXMYE5cEQ8 -YIlYl8dZo+LZq/2+3LU/obVM8vfofqv0XK/cL9SY+i5SnB2y9Wjd/QqfPtqs -+wvEf6LufKIbfcQHJoiRHvmo2T1LrsghNXivdI33a28Uf5tk39HZsHRtkM49 -dWP8WtRikXxeI5k9uWOCR03JNXbB2XjNmMAG/t4IP9bGjMFncjkZ8Y7Ktw06 -G5Dub1s8F8Dkc/LpSdleqf2T3L6dEn1a66j4P2s/l9neft0dLV3fIckeb/Js -IZamwvrOltZNnDdjbHQe8YcYN0Zfc45+7L1dmj8gnS/KVn/MPfIxFPLkfkfg -itxCE3t7zL3tqmNbZhr7xEjf0eePKb/z9d2p/UbESKzg6GTUGIzgr9Sk30v3 -9a+l5wi4Bb/Ug7q8SY8Xnl/M4JHoBXD4dcyvkbpzsy/0nm52zHwvyVwn5urS -zD7s1NqiOwO6+1bd/QXm4ZMT+ORyNHoODMxvds+CkbGQhz8YPDAzHj3xYXJv -dgRWyQfY7Yjzu0KGWQqOyDlYG4m4yCU5pca10EMtsDkWvbm68ozapNz0il4v -/77MPPOgyd22yjVhBmP/wRbbI8f0DnaoYVvMaHDX02ysMxPRcTpZhpySz4XY -o6dy55Z8kaub/maW+amy7+B0Z90x8V4trjy7mGGfBqbPlX5/0UWNqFWt2TTx -Mo+oC/vSoImfedIZNeUMXn/4syTez3WB7RmVdd5ReQYwU+hXcoAMeQAX6ELn -VGk8nSmNJzAMVmfFHGOe4eeSiB1b3fFe0/fMR7BwMPNM4n0gN+SIPOML/xbE -OFO6WvS9KXqxO3xGV3fk5O7KWOPdo7+Rp4+wAy7BH3Xr+t+cYsf2YuX/IXBV -N5agO+JtXBN1fqRubDysvZd3kLPCmGS2Y3t14Xl+W+H5xRxbEbXrv5XzFucf -/6dL/xcdyF3H6eil3rAJrvpL161N8a2Q3hd0b2Xh/kY/uNmr+0/zPxBv6GD8 -w3B+KHp2JN533vnxzL3YHvr64l/iZX2/Lvqlwv8ya2NOkse+oDfm/pcak1+v -Fe7T+wv32a2e4D+DnBzLbH86fNid+3/icGkcERd2/wP/5UW1 +1:eJxFUctKA0EQbGbNbE4RNnfBbxBBfMAGT2JOfoIfoD/gycfdXxF0cxG85B5B +PyFuDgq7koVI1MQquoKHYnqmq6urezZPz0/OgpltAQlQAW/AGOhFfzxIzfpA +F/ExzkcUvItTtcwucC/AvQRyxFc4Z9JaB76AGngBRsiPk3+NSjqNOB/AIvhZ +AlNxVtypNPfhYwlejl5ZcM8bwBzxBOcQKBDfB89TeyLNQ9Tc4e0z+nsjb4Pg +/qlzg1wP8XV0L7Vqa81DrV3kttfMjtpmt4nvqtSMnI9z5epPzUx++F63nPfQ +9n10tZPv4Fql/iET/xe9nhD/RK9hbSf1vbCuY679LH4T/d7XnxTysdrvq2bg +vtiLczAeKr8UhzMtxJnLH+Od1OO96P3pnx64s4HmpZeR/PDvZprpDwTiaWM= + "]], PolygonBox[CompressedData[" -1:eJwllVtMz2EYx9/+/z//36k5RDNmctg0siRCIm7c5FAxGi6qhRu0DjZtHVbE -XKAYYraYC9xjNlrrqhmuSKdLXDhs0gUrUz7fnotn+76/73N6n/d5nt/yyurS -MzHn3HEkgQShc78B7bOd83znGpClKc7t4VtF4Fwq53z0UmfxHd1lnG9zPh13 -rgp8FZ1GdJuRWs+5o0iSAEOcx+Ay0OmKmY1s3+NjEF8Z8Jnwm/g2CHcYnTzw -MN+WcO6FHwF/RHrAMeLF4dcgueBs8t0aOXeSczXnR9h0JZ37hf4w+vXwrzyz -ka1iKnaItBOrEr4B+9vYZMNlorPStxqoFnG+LUD3CXwxuAt+VBj+KPgYUgJO -C033COf9nAMkFTxJDtXod/pmW05NO8BzkH7wC2QH+RVjfwu+n/wfo7+NnNYr -PvbpnuWk3E4h1+Cn+IaJa+IO0+C58OnisWnH9qxvtawgpzIUe9AZSVhNVJtV -8Iti9kZ6q+dJ0y3Exwa45tDeJiS/JnA+33bH7Y30VrnEWIttFvE2gTvx2YJ+ -Dud6/C3E5im2s/GZDm5B7oBXKD6xFqhnsC/CXxr4XGRv0UeMcfjepPXeXqQS -3xsji6U319tXEWNJzO40Dl+XtFiquWo/EFht1DOD4Am+7SOfCfi/4CzkheoH -fw3+ALKN807OB8F/8Pca3Z/4/Enuo3zrg7uEjxWe5ahcdSfdrY383ibMRyv4 -Cv5vxu1Nr4K3R1YbxVRs9Yh6pRCbfPxdD6w3VMMb4GdJ64VGdA7h/xz6rXHL -Sbl1J63XpzgXwM/HxzR4HTHyiLU5Mqw30lvlRzYr6zhvAdd4dnfNrGZ3nme+ -/iHTxFqNPMZ/Lfx5+Ci0XtbMaHZKAquVclJuk77VVjOkWRoLrXbqAfVCpWe+ -apC2wN5Ub6ueVe8OBTbrqvE9dNsD09WbXQB/QvoTtqP80HKcyTVud38Kfxdu -F/k1e3ZH3VUzVKDe8m12tIMqfJspzZbeSG91MbLZUU/+wFepb7M9s/PUq5Ht -EtVEtanz7W0U84J6kZyKwB3oPIgsB+VSpvr71uPq9XJsysD34d8lrGe+Ea8j -sN2pnlZvD4Q2K9qBH8CfA5tF1eALuBudNwnbQdpFmlnNrnaUdlUO/MMU0/mK -fgq8i9vO0O5QD6uXLyMxuKnQdrvuUB7YTtJuUo7fOb/0bJdrx57w7Y66q/4R -i7EtDqyXFVOx/wNx5sAp +1:eJwlkD0OQVEQhScP96ko2IBFCPGTeKXQsAQLYAMqorcSieSFUqOnsARRKUhE +Qfx8J1Oc5Jy5M2fO3MpoMhxHZlYGWVCMzY4UUvAIZiv0MmP2RtfhV2on+n7o +FvqJ3sA7YAavUXvBq5g10E30VwvwSNDt2Lk85T0PPrsFA/iH2pm3A/qWM+vm +3WvP2IX3fvBs2qndd7COPJOy9ZgvZdxDXvKUdwIWygqm8AL9qfIFv02Zlb0T +/DZlVnb1qFeefXQh9mz6I/2VMinbDv2B/wFIZDDY "]]}]}, { EdgeForm[], - GrayLevel[0.34099999999999997`], + RGBColor[ + 0.18461529999999998`, 0.19915007499999998`, 0.213893425], GraphicsGroupBox[{ PolygonBox[CompressedData[" -1:eJw1V11slFUQ/ba73f1+VmNoTSgUwdAWwRqkoYRiMAFjUXkQkDQUWrUN0QcT -jSIkCiJggRIF2hIC3WgBiUYSfaABf5LaxoCEJ3mgBRN9UiAxFomlD22R4jme -48OXOzt3Zu7M3Jkzdx9ufWPN60VBENSmgiCNdSQTBPW5IJgLeiboaaBj7A3i -+wm/L2LdB4USCJ8FfV8keg3WdfimgS7B2pYPgjLQT4VBcCkjPnVLi8V/FvZn -JNKljQfwPQdeaxwEs0EfBX0EZ08FvR70VtCLIF8D/W7Q52BrCnTrsNcJf6bb -/n7QpfatxP6URvL9kv2nT/RhCvhVsPco6AL0bsay9VUouaGUzqYu46d/67G/ -HN/PoE8gxjz0pyfSoW4ZbDbDvyZ8T+PrA/8Y+H/D9nac84X1O6C7ORsEB7Fe -x3ojq5y3QG4X5N6BnQHonoTsUthfkJb8cfy+DJltWLux/0FeMX8Oui0lPraD -asiXkcaXgf/zsX4HfhPk5mGvEvavZER3g9+G/QT0p7DRmVW8lfjawc+bz1wy -J8xNA2JbmZOvv2ItYD3EfCfKCXOzJyWf6E8v1vt9X4/Dhxj0X4lytML1xjyQ -vob1j1jyCyD7fCT9kkT1eC6rmixN5HMYKX/Up92WnGqYtXyZOrCdjlTPV+Bb -O3Rn4nclZGdhfTBS/eyFzw+BrgD9EtZyfO3Q3QtbGy1PvcGM6HHYOVwkedL0 -lT6vilVTrNWeIsXDOJlj+vQjvn7s3w2Vm4lQ/tHPK7H8u1ek3A3GooNIsTMG -7l9KK//so3vQn4TMZKieYe9MQP6RWDaZg3LsV+M7hd/tkGsEvSVSbcbmVyfq -g2+xvxz2P86oVg/Bzg7QXbFqaYfr6RvIXQV9C/y3Qtk/AHpOLD+3sb+Rg0NZ -1dIR3g3rJ1C+wiLlt2AfWIezIT8KuSx+v+aV8TRHynVvqLPLXc/k0Rbt1EWK -i/F1RDqvE+vL8GcCdicT1TXrm73MO2AtMUd3QvVOIVQ9sa5iyJ9BTbyAWH5A -Xruy0mUsjKnLdG1asdOnYfPZF4fZy9DdAps7M6JbnIedpmuyohkLbffaN/rJ -cyuNc69m1Yu0zbPXZJRrnvtmqDgYD/uCdcF91sa6RLizOdJdNhq7Co73sjHv -orHuOn5fhO61WPVB+UbYqMgJZ4irPIc1zLPmGTu7jd30fQCym7LCLNb/Puux -95eE6mX29FXI98HOENZ/cMY47ugu1mdC1U1/XvdAeeIPZ8X5lGztyCsn72P9 -DfoXYOeTUPhY7nr+0phMXCf+sta/D9W7oeuG9VWfUo2xh/oz6rs2yG8CvTtW -bZY5xrUZ3Qvvh7J9lh/Fetu9ze+C87M7r5xwvjE+3iVnF3uYuqw93ifj5Z1l -spqRpHfFOrc11Ewhpg1APxcJ54ijzD2xhj5GiTDmd+gVIFsLO4sT9RExa9wY -zPuo86wftb+0R/w8nRKeZZ0f9vdQRjnqyGlePpZIjrjGe2FNDrs3btsm8bzX -fPbCCs9D6iSh7I1Ekr9h3H7bvd0J/6uMIcQS6l73fKRfxAfqf5hX/XGmEfM3 -OD/E8kHPKdZyk/nEfmIpc89+4cr8N7i3mfNVkfJzLJS/TcbturR6lX16tFhn -9XvGTniGtkTKdWsknCI2zYhUx7zfWYnsNdufDZ5RtMOcjThvzDdnM23SrwbP -WfrH2mBfT+aEDe/yDZPTzOVMKHV9sUcqc+JRnudnHCN9YF4YF7GiwXixGjLL -/EahLnv+vPEqY4wijvIs8tlnJ43DjKXF8RDXaIM4X2/+gO9sLK1eG471rtqT -l6/njA98lxFn6DPx47h7mXGNFUuuJq1eJp9vk5vFqse6UOufyPPNRPzhRHOR -vZ2K1BMLbZe+DDnP7PUJ3yfrn3OItXYn0bkTifqsx7Oqz3P4v/dNkfj057NQ -/vNdRntjrg3W5FrjBnuAuWfv8Pwx54a5b/T7kO8p3gfz+KJnH2dgV6T8Tg2F -Je3u5YOe+3w7/z872b+ncrqHGvA3harjTvj2i/ncZ89xhvE+ayPN/iVYD8ae -bZHumbq863b7znOZx4XWvRMplnGsq91H7KetibDwVk51VeW6ZB1VucZWmsc6 -r7Ic+XyDcH4t95m9PrfCMqwT5rvC9LBnKLGI+uSfdT3SDmMmBmzz++qVWHh+ -xu/wa8ZA1jP7fMCz+ohjfy8Rf3ui2jvt2TQSqy438k0e6/09J9Jv8jti/Sb/ -QN7/IxwX87e0WDle5PzzHnpC5Xo75D/Ka6buz2vm0+Yp3ytj+jonOyc9/3hn -vLulfodPOt75ke6RtTAaCUtv+x1Y7TlSb6wmFt0wps91Lzd7r2CcaDGW8m3K -flifqI4XRtpf5hifiPTuWIz1yUTxnsipbxY4ln8BQEvEZw== +1:eJxFVDtPlFEQvewu97ugvEKiNBb+gNWGRFgkKrFBiYqvxs5XVFDURFQWNgTF +QkFLH4WNSyPGUIj+AgukttBeEtAYjcQQjInneI6xuJn55s6dmXNm5tt6cujw +pVwI4RpOHqcTH89x3kJ/kkK4UwjhcZKNeglyDudXTQjv4TMRQ6jD90/Id7jf +BX0L7PuyEJqg90KuRtmboA8gVj/8LkAegr0Z9tPQx3Kyt0CO4FxE/AGcq7i7 +zXy1IdytkV5E/B2ItYzvLsSYxt1xFD8BWyvuR2EfwpmBvgL5oUZ5buI04O1k +QXiI9VSS/StiLBSEgfWv5lVTGW97ojA/TcJALI2QS1E5emEfh94N/V6mGIvm +gjgYl1he4HsN8rMP/cnhJ7ytQr+Bt0Xoz1gbYsYozJugd+B8hL4NtodJGB5B +DuNNO/yHoySxzgf1hBwQy7I5YE+7MtWwO6qGNdvb7E9uq+aGb+5n6vVe+H+r +FZ7fmTCxV8Q16F6R2173/QD8Z3PCyDwlS+aqz6km6peTch+Lyrfi+h84L/Of +46wg33nIUtRb9n/dPJLDCmL8yKtfG5P0DUm1sub9kEejcjEnMR7JC+eXqN58 +j8K04BkYz+QzBdwvM9Xd7f7S5y8XnoElz3id559cls3/gOevwb2YMbdvouq+ +4v0qee9eRe3Aa8iGpFlsTOpVfe5/vyruGfeH8Q9yF5Lmp+h5qDoXZ4d2ckvZ +bn171F2H96zN+1Xx7DM+96PJ9bMP5Zx46jAn5IY5Ol0bd5WxNif5NntOOMec +59qo/wW56ovCPev5YNyy/blLnJ8pyOnMPvDfmalf7NsZ55iPqnfM/C96l9kj +7jYxnIVvXyZuyTHndsS51r2frIH/kln3gzW2mmeeUe/IZJS9H/L6vx3MlL/F +NeyJ6hl37kTSP6TH/4k5736/49yC/AOeJK+l "]], PolygonBox[CompressedData[" -1:eJwllVtM1nUYx3+87wvv//DKhdBEhIqVrpLmZGKio60uWvMqqU3kogJaXrRq -HnDzkBkBykoOmgtQwdaqzXETm9aFwVqHeVVbE2yrm9IuXKJNvRBI7PPte/Hb -nsP3eZ7/c/zXtL3d9FYmhPAmL8dri0JYjqA2G8L7SQjVcQgn4I+gq4L+JQ1h -pjiEhwCvQj/Dq0R3Af4y9A7sa8HXY98PfyA1NikKYT/0w/hYie4SsnNgDxdC -WAE/iM04/B/Y/IDuNi8CvwH8r/jfhr4B+gr6LuiL6P+CPo3NjznbyHY776Wc -fT4A/mv0I+CfgP+AWPPwQMIBZAvKNXbsFmQVosE0gP0U2RT6DmQH4U/hswf+ -FfhHs67Jy9DDkX3d513C8bvYby8JYSmYTej2KV9yfxH719HXkFM59cuBScDe -RHYZ3XNgUn0b+jTrHGPob/O2VU7K7Wri3KfA/IPuZt61VQ3+RLctda2eQd8C -3UT8MuheZFuge4j5E9jN5NsNPRZZVwrmGvblYCqhfwbzBboXEusmiLERfhD9 -x/AXsf+N2Kvh18HXk9MIfDuYtfC7yO9D/C+Dz+VsMwD2OG8EuhV/x1RbvnEI -20lkjxNrXexv34LsLP4O4uNIxjU9BB2jL2QtG8V3Y+peNYJ/GnoJsnnFJ2ZX -Yh/ypZi/Q5/P+9vV02bwbfh7A3oIWT+6AWzqsp7hnfgqQr8I3cP31sh3bOxd -MAvQt3l3oB8hRl/ePVFvlNM7+A+xZ0M7o93pJ4eOEtdItbqHbA7dd/if037w -yoo9M4v42ot9p/qhePAd2NSVeEbXoPsk79zVA/Wir+DdHSPmBbCL+JtH/z3+ -qqBvxZ41ffMdzWbs3ZihXucjx1CsAjaV4Ifh66BXI1sVO0flqh14EP4pMGcy -zmmA2PXwoxnbrIc+ic/JnGt4P3KP1WvdjMegN6SeHfmQL90E3Qb1pDX2DGoW -NbPXwQ/y1oA9BH8c+lhiWjOmWdvD64R+j/cRuhWpc1ENXk28c9o91fh5sNOJ -b5e+Ud+qGqgW07wb6D6HP0q85dpJbOdi914zplmriDzLinkC/DeRa68ZugXf -nXgWdVM7E/uUb+38V2DH8TlR4h63omvHf5TxjXwNeiPvWe0ysl7w18lnttg7 -oF3Yypsu8s42x75RulWyWQ9/tOBdVE/Um6m8d18xFVs3SrdKM/hv6h7/32v4 -AbCl8OVZ1+AzsE+m1umm1kIvjV0b3TTdtrLUt0I3rBz6b96XRf7m2dQ3Xbc9 -QZ/HtrHgf4V6ujvyDmgX7oJf0OympvUN+hbNsGZZN60a+kZqX4rRELnn6r12 -RLvyHyLc2oo= +1:eJwlkrkzg1EUxV++JC/PFoyCVqnSKCRkMDRGhlgbHWPfhsIWS4QoTFJbCg0a +FJrwR/gP9AoUZKQwlhm/O7c4M+e8c9/9zrv3qx9bGlj0jDENIABOnTGHkGsO +I9aYXlAJ3wDjeAfoLZ8xNegM/Be8oq/Qf/D1kDGX8CawBr/nbBM+T8170Jgs +ZzH0DcjBW/Bf8ErRzeg+dBU8CSb43izoJ882usD9HmoWfNozDt8DUU8zn1Fb +4P4t+puaTnjeaq8E/rTTN8nbMuhj9C73I+hBvzEpeBf+D3fvOBvFP3fKJXMK +bxm9A68DQ+hamQn8iDsWnabHiF8zSbY8/mNAM3+Q/83q26Umh47gX6Cf8Bvx +Tpxmk0ySbdXqLKUmh5cNalaZ8TNeGWeffs30gJ5CV3s6szmnM5PZFampQIed +8qTMHN7tdHeygyj3YyHdxRe6Ax1Gt3n6BnnLvtXdl4C01R7SSzKUw4etzkZm +soKedPrvyE4TeDNOdyEZJWvcai/5RhHebvXbssNWvv0PPVJQfw== "]]}]}, { EdgeForm[], - GrayLevel[0.403], + RGBColor[0.238882125, 0.262018125, 0.284081125], GraphicsGroupBox[{ PolygonBox[CompressedData[" -1:eJxNl12MVdUVx8+95957zr7npFHbhgGFOsLg5yDEocU4yBBJ8A3wBXFIm9Io -Ii00Tapp0dIGjcDY4jci2DCt9QN90NLazmDb0NYmfRNQEpO2Ck9VBkyKUOWj -6f/Hfz34cLL32Wft9b3+a53eVetvW9fMsmxtI8tyres7WfZdPSPaz9TB9qb3 -x9pZtl80X9P+RDfLduj8jTLLXqizbKf2jxVZ1i/6XdrvFM0jTdMv1r7WflTP -K9q/VHu/U/Sv16Z7XnxS0zy3ima6vq2RDgd0/3zD/OF5Ze49Z4OiOd02/0eb -pl2u/bkqy/Zqf5N4tltZNlvfxnX+kd5/oHWj7v1NvDPd/ZLo3tV6TjQPaT+g -b3OC/t+iX6P1gZBzIGw5kLLsX9LjoNavStYcfZur9WrRTdL+LdH9Qd83ic9V -op+aWz90K5LPS9GfFf+z2p/RerPeB3V3vtZ7pNvajvn06u6nWo/zaH9W6816 -vl/aricVh/+2rR82n638/lllfbc1rfNbtfcv6d6v9Nyqsy9Il5+IZoPOE3Z1 -vd+u7z2548Ld90VznZ7btZ+m8yPaH244tiNN58Ne6fuB3vv1/LX2+aj4/Fj7 -u/TtR1qXFtYN2eynh1//p/Ww+F4unS+qLSvX3bVdy15Smu/7ocOIaL4nnr/X -eaXnlO5+LNq54nOpzpeLblnhPCZvrykcm0MN5zU5zflS3T2qs/W6++vaMXpF -ZyuVM8Mt23OF7t3Zsa2Pav8sNSFnTdHzFfG5RPcWl47xJJ1NlT0TEbNjyTGb -0LpR68vif0vTMvEfufWI7k/R2beQG9/f0/nbIX8FaSr9Onofkn/+3HGeTtb5 -Ft1doH2hu/+Ubrsk4ynJWlJYb+r1YGXaCwFuO+8v5GTUAPn/J92/V/vHxO/6 -5Lwiv+AzoTvzqPe296Oi/6w0u0Nar9ezW2cLpeOs3HVNrd/Qtl3U7CytUzqu -KfLk047t6ms7jtQ9cYMGfHiwdv6/UNpPR8JXYxK6TzKOyqbjlfU5FnVzU9ty -0A+7yclu7Zj3Vs6HRXrWdbzOaFvuwsL1Rq2RJ9dGLs5uB+5kxj/25Awx2Rv6 -k1PcuT1ygtzYUbiuyPEzlWuOWqKORir7+3TIuSZy8omm6xts2pSbP/k+s7Zf -Zmh9Vb74jvYP186t1Xlggp4zcfcKna3J/X53bpotmfESXMYW5KE39n49me4b -Wp+vbedvSmPY1WEXGAqubIyavji3b+vk/Tx9fzN3XpJn01rGU3L0fNP4tqkR -34vI3cLvqWF63tkjH3zH1z8vnXdJcg61bNvx4IM86OELfpGLYy3zvvCefHdC -/v5ycqxWd41nk/KoZdkzQJ5UrkdqmVw7kYyxV4KfLeMd52DDZbkxlXj1hj7v -lMbMZ0r3gdmR95PbxgQwvyeZz+RYvxkYCiasEt3fM9uCr9AfDBgOHFgsmkW5 -sYG6nBW9CVvPBT3foOHeSul9CzGSrBuTz+dpHUzmd0p63pfMf7gKTIq7F+op -anxT1BJYgc30YmwBb6ghevSMruPXp3V+YZwnV6gn6KkBfA1+kv/gze7guaph -2djOPWiI2W1t68O3dYENyNogXbfr2/2VMeDptnMAnmDZ7pAD7sFnV+AQOQ82 -1DF7YB80+8MmehB63pEc1xVa76gclxWV+xM0+ODF2nzH5cOHk/vMF7U/2HUs -zlGjXfeO39bGY+zA1jmxEjt6NrG8V/SnS8dia+m+Tu5hbz+zhe7fqfNrtd+j -s9HCGDkrbEEXMLeO/kHebYvZirvQ3NU1pvyQ3EvGg59Ff1gSvgKPwRzowEaw -EqzDNmzsE889pWuAPjlWGlOY+35XemZjHtxcu+du1Xo8OVc6pePGPETd7sjt -B+IOziITnHmq61mtR/S/LF2rzIbYy0yG3/AlNcPdx5N5PRErd6GBljkAvcnJ -wejf6EU+odN0xbVHOl0s/idz+x2fE8MNUVM3RM7gd2qa2gbfwSZ6x0j4EX+e -TManM4HHV1Xu+/T/j5LngQ+T8Qa+8ATDJ0I2uTEQOtMTZ4SsDcmz0D1dx5w8 -Jqbf7nr+ZA69NBmLhpN92R8zEjz6oseBccieV1n/2cEfH4D1yCB3OKde6Dlz -I9fQjdmDmN1aun/QV/Er/qXeqd/54WfqZTDONxfGdHrLUOFeS99h1hiMfn1d -ZT37K8sgluPRZ6kj7PlH4ZjvCRnwB0/QcSD0xAZswXbWoZBFjbMHu7LANvoX -8zcYd6TrmlsQOTAUMzz0b0Ru9wWOPtcyTtKHmc/oK8ypyCZW+HNy3P0kObf+ -kzx/4LdLknv+4ch54jkY+QDmDcf8tyfsHUj+ryD3fhp4Aj5SB52YCZkNye1l -Mdv8sXT984+FHT2hz4rAt9dKYxO+/Uth3EEuPWFB5Xhv0X5z4Bs4tyzm5A9L -Y/vC+Dd7QHwa1FHl/rkyZtZnoifyP4HPNkZ/WV569u5N7tfjLc8M4OvSwGH4 -fBDz8cul5yf+Xaibgeit73R9d4e+P14YB8Hm8ZgPmRPpB/tiTmA+Jr5gEryJ -3eHot/tarndyoxH/g3w/EDTUKTVKnVNnzPeczexad+Zr/j+INfkD7cmYu/jX -WRr/OOTRqaCpo5aJ+6nCMpkNqdlFgb3PFv4O9oOb4Cd9c3X8W8AfDOCfqD/m -QeYk8Gc07IGefxtiRwyJPTlwrPQ8RP7u/9xMnD43u4MD9Fj6Oz5kbhqJ/3nm -tWkxbzEzLIl/DfJiKHKDuqK+nis9JzZjJicuKWYAfD8W/v9Faf78O54On9xf -+z8WP56vPH9ti/98YpUFz8sCf6cmy2nEOfqNRY7dWPof5kRl+W+GP4927duP -458AfAQb/w/ochBl +1:eJxNVktsVVUUPY/7OyKWAAMiUOxrZdRSOgEfgRmkJUiLLe9hhFFfW0AwBVs+ +bfkUNGiBNsKACAYcyhRClIEm6kQcwBQ60MSJsYlxALOaalzLtUgY3Jx99tln +f9b+nFuuH+0bXhRC+AFfgu9IEUIFxKoYQl8ewp40hGHQ7eCdLYWwBTK/gX8H +6yfgj+B7FzI18DZAZh/oKcgdj6L3gz+H7ysY6cDanIVQxncdMrVUd6mXdtbi +/jjoCB96sP4KuX248x7ORqGvGeuxVLZ7IXsK9APQr1ie9+7hK4G+h7vjqWQe +Yz+WygfKT0FXBbynkKlC/16cfRi1J7+p0H3q6Qf/e9ArQWfgvwP5HsgfAP8o +viroPdbBeNqCsKo5ro5EuBC3w9g3gl4NuhPrqH1jXC30D/yGRHKU4TnlGG8X +bC8FvaMQTo3GagHrW87NeZz1gZ7E+gV8q4G+UAiDMWO1Cft54LAR6zXInAF/ +Av5XITsB+hdilQu7z3D+O+hvcG86E36nrWcE/OOgr0TxJsy/a9yYhyboHAbd +GnR+xvrHjcMa8HPo+Rf0SuipR8XIWGdAn4T8yVzxvmHcHpWUI2J1CzJTkDmX +y9buVPYORen+OpedXan2Q+B3g96dC1diz9iYT8oQ9/2Q2QZ6O2R+TpUPxsPz +buv5GDg0J4rrFHzdAXrM8Zadl8+hZw7r5lx+NTlextfgWJZhfdt2WTPsG9ZP +s/VQ/6epYnwIuj/RnvQ14HwQ+6uweykVn9gOROnsMSb0ZY3raplraxoyJ9hT +uWrshOtwA/brQG9mTxfCfC/WyVw2bkfhNltSTbI/2XfdUf422eeuRLmjHOuK +OLA2WC+j7t9B8OdLioUYUeYm9KxPhC/1nAf/MuS/jPKdMSwBf7ljIT1YqMeG +CvnAfmTMP+bquWH4+CxTXRyO0rHUOX2QC+9Xwf8ul92/ITuQKT/3c+3J/9a1 +tNa5a8k0yzjHRhLtSTMPzBNzcbPQ2Y1Ce/J/wt2ZTOufufr+zZd6nzXHuFZk +ouknMV7A9yTIBufnVtZG1Dy8iLUVd58nimcG9gZATxfCr26sKctZw/7hTOh1 +D/Beq3uVs6TseVd2jKQpy9nCfrlou5eiYqo7rg/8dvANeew7lP9/Brg2lkTZ +W4z19SjdnK+cD6wV1gnt0g/GyHttvsvzmutpyjoZL2UrnrF13D2Es85CfvU7 +dmJJPrGljqp9bvd8pj7G12v9VeeQMnx/2izDuu1xLlqM56znQ6P766xxpD+T +nsk3EOuRqFlwkD0aVft/ef4teIav81tAneyjTmPIN4l5e5LpPvW8HzV7uixT +8VvCWqK+f4zha1E5YB8sNv4NUT4uWGbe9fnQb1OX+3zWOtmzQ4lm47xx2JQK +iwOJzohJxe8R88rzQevk20leR6FcrHCe+D4xHx/xDY+6szPq/Wx3fjv8//BH +rpwOOHe0OWi7zM961wnz2W7821zbL3I35HqYc32y3nba7i6s/wHJivRB "]], PolygonBox[CompressedData[" -1:eJwllVto1mUcxx/fd77v8+z/Xjgp3dQtrR0EmwcQm1RaKehd4Y3oVuGgmZYa -BVLNMljkloZTM9k80DqIubpRQZ2HCPHCO3UWCB1gVx42g2wVTqPPt+/FD76/ -53d8nt/hmdG6acXGXAjhbagMmp6F8FM+hFnFEM6XQpifQrjEeev4EFYjexp6 -Cry5EML3MYRny0P4fFwI1eifRb+fs24cVuNjGbif8xXoH4D/BbwNWgd+FJqG -7xfRaQTvx+Y0+BT0Jr7rsHmcWJXw40msB53d6M+EZoMPoL8bX03ozEf3KDn2 -wm9GvhX5QWw6sT0OvYG/TVAn+X2KvJV8C8gL5H4P+Ri+HojAk5BPy/sOR+FH -oev4bob/C/wy8leRd3FWA24n5hr4GqgSvguah+5KYnSCd5X8VrM5ewv7G5wt -QjaM/i1wLfKpyPvx14b8D87uIhuFMvj7Imx/5I5XuGsDNIb9CPKZ4FWZa6M7 -6+7yIV8L4Bvh9yS/nWr4M7nWceca7v4ZNqf0/tDavO/0EngGVJ/3m+nteqEz -ZX6jMXAF+VaqNuQwAbyr6No1qKaKhc4A+qehQWIFzqqCz67BD5NvE/wwPkYy -10i1Wor9QnSbM7/1EvgW8BLkF4n1Gvl8SLwKdCYj24HOl9E9ql4dRGc5/M3k -t63G/0fqB87m5txDe4n/SvTb9HF2Hnw3uZZ68z/Bz3FWCd6J/BtwAzZn875D -PbgqudZX8Pcd8h5i9CKbR7wF5LuTfKbk3JPd4Gcy95p6YjF4C/aN5NrM2Qb8 -HY6+23qoA/1t0AbwKnw+jO5N5EPor4O/Af693L3Rg7+T8BPxmSNWBWcl9Ldg -/xD64zh7D9yYeZaUYze59hU9K5rhRcjWl7uWv+mNwZOTZ7cKeS3yOyJwH/K5 -xLsN7SH2O/i4BW5Wz+R9tjpZR7od8MVkH/Klnnkscw+rl9WDtcT7pOS305vt -AO8vujaacc36xOTaqgfUC0PYn8l758yBvwe/nFz+xscY+OOSZ30x8i7wQPSu -0I7Rrnk++q6/wr9O/AtF16IF2ghfl/y2CWqJnlnNrnpojnorefY0w5rlEWwu -l7lm36L7IHMux5HfB79PDm0F9/wh5NXJu28Qm2PwTcm9vwx6EvxD0bX/B5sT -2B6J7kXtJO0m9Zx6TzEVuyJzrdUD6gX5lG/NtGZbM6nZ3IePTr0t8u05z5Bm -aW/ybtZO1G7UDtcuVw+NFp2DculAp414J6J9aUesVP8hfyTvHn1B/YnNOcUj -n3byeSJ5lvUH6C/QztHuUQ0H1K+ZdTVjmrWm6F5Wjl9Ez4RmQzX+OrpGqpVi -TsG+EF1r7cQ7yTOv2VdPToW/nXnXqIcXoru15NqoJh+Av4reJZp5zf5g/H9l -hXbOrkX3gHpBf9J29PdFy7STr5LL1eRe0kxrtt9Nfiv9of+Sy8HoWdCbDJV7 -J2o3aqdqt9aV/FfoD6gH/wcP1PFq +1:eJwllDlMVVEQhs/1Xc497lETjUs0gHYg0JBn7NQoymaQBwIVj0VEA8hDNjei +iaCsVopbqa2JUQttiEYbbY2FhY2RxGhhR0Tj9zvFn/v/Z+bMmTtn5uRne+t6 +VjjnMiAGU3nOPedbl3JuLHGuAqyHb2etDdvD4NxNHJci5w54576Dt7LhM43v +G+wF+BWCMvRHvml834N8dCv2KLKYWfhUYnuzYBK+hbW/8Ev4/GbvaXQt5+3g +jC54DziBHsG+hP0we7rgm+Cvg52ps/uJMQ9/6i33XehGdBYUw4tAK7wH3/3Y +0+iz6CZQAL9GUV55y1m5L6HL4VdBJmX/PM3eO8FqtYjPbeXGnnryy2ftJL4N +iZ29E2TgD/C5gf0z/mX4dqJr0N3on8QrVQ0iq6FqWS07uhyfGvgkGIA/5vwv +7F+NLoL/Iv4aeB5rf+DLYDN6kHhH4BVgCH492N4+YozDv+H/iH8bRg/Bq4Kd +9Q6fymBr/21gBv3Dm20CfR9djP5EfoPoafUGyMWWYz+2EXAhtjMW4eewN8SW +8wv0ZW+xxsE95estlnJW7jn0+dhiKvYMax3YOsGsOChN2R0u4Lst2F2qhlvh +q7AvR1bDlYndue6+iXjN+M+hT6XMR75HwQb0RnAssTvT3ann6vAvAB8iy2kq +WI1Va/Wsx9aOrortTo9760n1pnr+Cd+9rO3GVgjS2ObAaGw1Uq3UE+qNi+hb +wWZAs9CoeqIz3ngG9AWbAc2Ceq4X3a0ZiWxmzgTrKfVWJboN/czbLFWjO9CH +0Adjq6lqq55V72oGNAu13nz1T/q3NtZKUlbz9sRyUC6603p8X3qbHc2YZk0z +rdnWmzGGrcZbLqqxar2P/Xti6yH1Ui7Y3UygY/QseiS2mqv2o95qo5qpduuC +9b7+eW2wHlWvas+wt55Sb2nmrqBbQHNs/6B/0R3oLpRDibc3TW+batKCbTix +2dGb+NVbTspNMQY0y8FmSW/cBHw+2FugN+Iu/B98Lpf0 "]]}]}, { EdgeForm[], - GrayLevel[0.46499999999999997`], + RGBColor[0.287576175, 0.316482975, 0.33934157499999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" -1:eJxNmH2wVWUVxve555599j77kF6YkhIt5ZrOOJmSpuYMGIr0R0KjEnANp7hA -TX4N418llDWoYGKSFx0BgftBoYCAXOBCaNiHl5pmRMAAG4hQkHtxuNhI0wRD -Pb+exdgfe9513r3e911rvc961trnkqkP3vFAQ5Ik7aUkKWscVU2St9Mk2a3n -es0d1+QPNX+D5BOSH5Z8smx5luSkMUku1garJb6bJ8kxzR/W+EHJMnscy5Kk -Xzp9GqdJ72rNtWp8tsF7sc90PdeU/L5fesf17rjG8Zr7bOzfWva+2HNCZwzo -dyqdE5o7IvnLYS9nYuczRZKsrCRJm8bHKt6H/Vr1LJber6VzUPIByTMkr5be -Fumt0fiF3H7N0P4Hc+9/ILffAxGH1kbPcz66F4WdKxS7rtS/p0inX++/l/iM -ESX7+qjWXSv5u4ntuVW6f5J8p87PGv17rs5bIL15Gs/WkuSo5v+j8VI9F0ke -rvGU7utaydvqSXKl9tmp566I566Sz3xIelOls1k6Zdn1YsV6Q/Qs03O5dA5p -bkvZv+do/FKsnam139baTVq7ObfOJo0/1fvNAEZjd255g8YDVfuxquq90M9K -trG37LMYd3Bfki+sGCfcK3pbQ+f+mmM0S3v+osG+gRls7o21a8IP3m2oW2+t -7usqnf2Din0Gd1Olf1w6n5fOMPl/Wd34Jk5j9Hxavwfrdy82axzQUzQY2+hz -t+iCTWx4vvCZDTrrrMaxep7S/GGdM0T6ffo9u+J3N+v5lfQ36vdKjR16XpHc -qXG5nvWS2zUO1vO4zmnS2J56vxf07E99j9wneflbyRMSn4HN3FMtNYbB8n2F -z8xk2yT58+PEey2Szo80zk/sX0f42BH+Mj8zdT6Sl3tT+zshbHgn7OCeWiPX -FhW+g8Uaf6JxUINj8Z1GYwbcg/G+wPm0steSv49rzVKtmavxZxpHaO2kkv05 -FtgjloMjnoMid4kJ3DA98u4pre/S+p8Xzm/2IAdbcp93t8alerdOOssK5y9c -BucQszmR+0tl7yOS741cRAbHH8UdEkdy8engDc5B5qyRFb9j/uuK+Y3cPzyW -m4+OacyE56rOqGo8I582psb37dL/Ssl3w3NTnPWM9tzb4Px6T+v7pHtE457M -87s1bte7YSVjGJvhDewnHmvjHb6eDH//XnEekl9wAfnxR/I1tXwdOV3Y50er -5tGB4NIiNZfBY3fq7COaX6M9Hqh57nfSv09yi3TGZ+Yjzvqq5pr1DJXOW9r7 -PO3zCT3vl8yF75c+5v6jwf9wNr416/liZrsPF47rhxFbsLMsOAyOJkebdebC -irkRLhlatQxXrQ1deGNZcA1xGCRb6qnPHhs4A2P3yubJWvt9jXO0T5vmN8mG -b2SOxWCdVas55nnN934m4vxyZi6Ck9py15qFuXF0NrgCvIMHuH942THn3sEU -vAOu1uu8V+XPKxrPrzvPm+q2iziTU5vCP3DC/dwT93hH3NEL8ExqXiPfT6de -z9r+WIN+Z902TNC69Zn97agbm/8IfKJPXpPT4JN69Ijkd8vOed5TJ9DZUTWG -Poq935O8XHrPKw4HJS+V/Jzkf+qsf+msU5nxujbuiDzABmKCHcjcQ6f0btNc -k9a+JPmbkj8l+XNlxxx+XlJYfjliwDvmv1b2WVP0fCY3bsHvzsAaHD82M8+t -yrwv+6+UPLduXtyALDue1Pyl1CbJSyRfIXl4YQ5uLrzHweAxah3cjl+nFLcV -/4fv7ZG/o7XPvuB3cMRZYKkfnEc+s8e6iE8992/qxkit3ZP63YW5+fUxzY3O -vF+Xxia9Pz81t8Jd4A++2tVoPoXP74l6eV3k9pHA0Tu57/ivGvflrnP7Nf5N -z1HJh+ClinsAsPjvBnMU2Hg99dzQ6PuORB3nDrgL+GpUYQ69uTBGpsQ8HHxr -yMSamC8I7DBP7kzMHK/uzJgAG+2BX/IK/JDbVwe3jIh1+L676r5wZuH74x4X -a25v1TXpIc1PyZw3WzW+WXWde1Dzf666xt9fOPcnRv6TX92p68qQurnl91X3 -gvDK6uBB4nEmM48dCi6Dq4gj8aI+UCfA6NbcfVFPbvyBjUskL68YW71RlyaF -X2OjTsIzcCb2gSVsRIY/x0edRI960R8Yg3tPBT7hLWJFHXwtsw/TM/e29LjE -izl+sw9ccXvsT7+BDG/AE/AFHEUdHhR8C0aYBydpzefBl+QjPSr58WxheWFh -m8gdeGJBYfnpwtwGxz0ZvcotVeftvpDpZfCNPKIGUJeIHXGjP6VmUA/Ab1vY -uSr62Otz47C14t/fKizfrXFe3T3TE3X3NeQSecSZ2MG5YJWeHryC7WkV45ue -BpzAw/Sq9Kz0qNRiZOrxE4VtnleYU+CTCyLn6JvpxRYFt+P7bNkxTfKsumsN -9w/+wRN1YmhgYHFqrMLr2yvmWurwNVGLexqtTxwqmd9vKIw19od3wHd39J8D -YcP8+K4Bu9QIesvOqDvj4lywwXx74KcjM2/dkPn9ovAFffDD7/7IB3KBnnZ+ -9EqvyqY3ZP+2wrrjAnvUWObJg42FfewunF/0BFnwEjKxWRccDK/SK/VUnDfY -My5suELrL9b85YW//5AfDp6Fb/ty93n0ex/k7lO2VZwTqwrv+VL09l3hO/3q -jorzlr6jt+K8fL3w/PbA9qKILXy5NHq8dYX3X1u4R+uuuNf7ZWF5hcYlqX0g -nr8pvP9rhb8j+M6/Lb5p7oo+nxoyMua7o+8+14+PiFpGfQCj1IironcEt2CR -fpFYMIce811x1/ADvQyYIyZ8ZxOjG+Nuz30r8P6m6Dc+DN3ZcS/owmP4tCQw -DE43B7bx6y9RQ0dFTcSXW6K2wgl896GHvz3Bq5fVHEPix53CSz2Bf74/wfSu -3Hu/HXvyPXcy1lAbsZ+Y0KcPRCwmV41X8pAYUn+J4wV1y2/E99mk4EnGyYFv -8pE+mZykXzsdNQXfJwbO4VDqC7WNb8qmqO8vRt2n/u8LHsJfvjXPi96bHGyp -+m4643sQTDZHLoCJK6Mnol4fjW90+O2Tddv2h6p7hxMxzzfi/ogzfrSEL5wx -OeLAXEfgeW/oTw8c7g15S9Rcam9LxIQ92qLnTMKu3eHXsOiJxoSP574tuNv/ -5Xng+XTwLbxPHaD/hwPQgRPAC3uOidoxOurIrpox9lzm3qcvsMq6rfH/Bt/B -/LeyM/hkT+zTmPl+ZhS+k33px7kGRjmPmng0+Jd7PBZ59196+qNv +1:eJw1V2tolmUYfvftPTkx+mU0FVNB5yC3z5zlXAchddPqh3bYlCwPTT8Pm4fZ +bOI0jbk1maaCiqf5yxUYs6C0c9NgNEHooNkyagktaAWFP4Kgrsvr2o+H+37v +537u537u8zthRf2iukwQBPfnBUE+4HR8XAX+JvCqKAiyWDvCIMiBNhp7xaAf +SoNgJ2jb4yBoDoVfNH+z8bshbBv478LajXWPz143rRD4Kzg/E/gByHsZaxLw +VaCdAdwVSg/CZuPPJNLhWcDbgP+B3gvYEwpfCJlzsTcSdz+e6Ax1vwD6POhW +Held2Yzwy9jvA/4H4PVAtBrTf4AeJ7B3E7AItClYkyHra8AHsH8T8j/HXht4 +XgJ+DnA21u/Ya8IaC7wcMr8FzxHg1wAvY7UD/wJwvu+iXll8nwX9JGzwJfD9 +wPsAJ2KdBr4f9O/JC7mzgV/CGoU3zsO9P4HnFHjaU8ESngXfiVQ6DWH/IL7H +A58VaG8D3tEFfHeqt/BNrwJfB3pdLJvxHbRbI77LcPZXwLpQZ4+B/jDufwSr +CvjYPH0vAL4XcjaBpwVwM86U4uzrwK9kZGvaeShP8nsD2Z504uvxnlmQUwd9 +2iyT8mlj0g+DVhlJD/qI3zcyupe0etP/xr3fgfYX4G2sAuDdsb5J74Q+fwJ/ +m76Ppc85+255It+tAPwoVtzWAP8klQ2fB60i47Pg32b7dGB/H+5vD0Wv8D7f +tRf4GNt/MKP7SGfM9jiG+Y5ev+XB0L4DXwtWUb5yZ0QiOxYksgNjiP64iO8R +4Huf8Z0oTroAD+Ur365h3Qv9AvAWptojD2OqMF+5PTVQTPEM+bOO9+F4pu7U +IYezM8GzFnBlpDyvTJTDzOUm2GMxbQj604D9riWMpYWp3vYEYzhS3BwHz8ep +7FMT6x2r81QfSGvx3YwFxgTtU58o9u7DuWOuBVnAXfheC/l7AMdlxM8c5Dpo +OUV+L9/CXKRPuceaUYBVmyefN5mHZ5osZ2q+zrdYx1rrWZ3ozOJYtS1n+vhU +b7zkeD5s/a86t2iXGX4X45x5zxp4Et/nIasR+L+QvYH2Ad8i4P9Eqqd1oHVE +irO3QN+MNQc8WwCrY9mOdh2KpOsHoFfgewrsUw64LNbbGdc9eaoDRxkioLeC +viWVb6j/Vts1F4qvwHF4ALAhVj3tTlUTuf9VJP/QZzz/WqS+ch48JcCnYdWG +suOwjVlrKYf5y/ijbUcGyo/H8mUT1gHakPai3Q7aL7TZWNuWMX7DfIztEfYF +c4P4eujQHSnWWUdLnUOsi+xXo+2/zaDdcj1tTfXdBvie5TDnWNdpuwvW+br7 +Gu03zvV/lPOJb2EuMaeY+/TDZPdK2oN2ueDaTJ1YY39MJH9XpNrOukp9Voey +X2ugMz32XRnuWhrKLpQx13JYZ5gj7I/z3XNY/ymnxL6gf8lPH0+PpddvsWJq +WSj7M7/7HbvUc77l8B2sFzyzEXAJ4JVY95C/y3nH/GGdWRKrxrLW8t517inH +U/XQ5li1/ITjYU0oW/Ot1Jd6E+dcUOX5hHoyTnh3C/u744tx+Kj7CHWssp53 +enqoOsjeUek4oIw5jje+r9LzAPsz38+317j2kk7b0X9HTK+2fatC1RTGMWeH +Ivdv1pg7tQb8A5D3S0ZnGWv8ph8nJKJfi3T+zhn7a43fzjyjr8i/KdEbNyby +Yan9yL7L/rsllo+oB2OPech83OpeNsW6sQ8PuhcP2N6Uz5i7Zd0WxcoRzmK0 +X5H7RM5x22e9+nx2h2ODsU+Z0xznl1PFZKl7xDzPZr2uf8xl1rxCx0yp5xrG +EnvLGNNzznPmXaHpzM+ZtuEE22StYyzrfsH7GT87PFuyp5U5TlYmyt+lsWxT +YZusMn14v809hjnX7j7SkCr/WUc7M7Lz8MzZaZyx3+r6wNrc6HrHerzXc8I7 +rv/sA88lqk3vMi9S1X/2gX2p5sOJrvct7pe8kzM038XZhDxdtlWR7dbtuWh5 +pLll0LPLgOfvnwE7Qu1xjmFe9HjGHjSds9SL0K0Yey8kqn8LQvVA6s4c4Lt4 +nrI5+3Fu6rDMGvdN9k/Gx2zn14pUcpan6iu03Z5I/plhHz0F+kPgeTJVzBLn +vMS7t7mGs94U+73D/wmMrcZUvZazNvM1a78M+n+E/yXkm+R5jDE74Dztt01p +z89i2fzTWPMf6Y2e2UvNQ3jKsftGqjrCeb/WPYNx+02sWr49Uq3d7xwY7nPl +nhPK3PNYW1nnGsB/xnPn6VQzK2Prw1j1b6pnFeYrY4a9ljY+azvvjPXNukv9 +SpzjOetDvepj5U0/4P9l/qjL "]], PolygonBox[CompressedData[" -1:eJwtlmlslVUQhr/b29t7v3suSqkKsim2iokxKqK4BdEf4i9RcQPUKKAgWwVM -jCIILtCCC2UTpNayl01aKJSi4MamMVGWiKIge6AooBGChqDPm5cfk8ycWc6c -OXPeOR36lj48LC+KosVQPrQxHUW5gihqBl2Si6JMJoq6JaLob6ghRFFpNoqe -wjCgfxDdfOgrdD8i1+XsI9/aVBRVYV9BvHeIW83aQnTDWOuO/Wb06+FLWGtP -Am3RXwNfS7ztxO+XjKJecRTdw36dkfdjfwO6RdjMw7aSmFOIPR+5ssB7lCGv -wGYK8a7E/wH4D6AG/NdA24i1hpiN6PYRbz/734a+lnwm4JND9zxrNyZcgyJi -t4aK4A/g8xP6FDE+Za/ZyAXwL7M2Fr6K+BOJ1RJ5L/7boe7IX5PTQOzPEWM1 -sSZCw+FnsF8ZfCuoEHkl+cwNrpFqFdA34j+QtU7Eas5aS3RbiNeiwDkpt1Xs -18D+O/H/AdvPgmt7Hp9ybOdCnYg1ibVd8C+i74FuC/Ln8PXQF/B/sfYm+heQ -b054j8uJP5W1ZviPw+Z7+HL2q2C/rsh3Y9skgp8PvQe/NOOz79aZ8F+X8Vl0 -Z7q7ccQ4hX419ouwn0C8yUnHLIM/y9ppdDXQVPhV0J0J57gavpiat6PW0yWr -9sQ7if4Y/oeQ/0N/BP009CvjC3eOvBaamXGNVCvFuArd5rRrqzvQXdRjcy7h -nlJvXZ1zb+pxFKF7A/s/0TcSY1lwzVS79ch1wTVX7Ucjfwc/gj2exfcg+e0m -n4GsjU04x/PoRuDzBPJW7L+Ej9kvyX7LkT/U3QTrrqCGlfhuCL473Ynu5jly -apfnN3R97J5Wb1dBE4J95DseeQf8H9icIJdTUBrfGvZbUOAYG5C/waYvub2C -/SD8k6ztwTaLTXNsuwXfvd6A3sLPsd9GZ50Zfgn6tSnfse5aPa/efxubodiv -UI+mXEPV8hPkOxJeq4WfDC1IuQfUC6OVD75N5HeUXKbHfnvfsv8edDtY24Xu -X+gf+D7o+6N/FX0b+LLgWhSxx3j4X2LfxS3IY2JjhLDiMHJP4QVrVcj9kGfA -P8JaMfI04tfBb+Q8XdPGjLnI04J7tQR5Cvzh2L3YBXk//O/QceRR5HMcfh90 -BPlW9L/Cvx/8dtoivwu/ifj3po2pi4k/C5tq7Acjz4xtI1vVqAI+D5vrEsa8 -SsUSpiHXo1+oWgbzeiN6K2uCz6I3lcJ3E2sXcT8XQ5exdw1rj0XOQbloTbo6 -YlTjW5hzLwjjipFb5DwLhHGtY795vX3FWKL7wmZxyj2t3laPqFeeoceG0w+P -ZjxbVGPV+rgozzNAs+Cj4LsRJucjv66eT9qmCXkU8d5KukfVq8IEYYMwviH2 -nevuP2ZtYvCM0qy6j/zmCati9+YA5G3w5cG2wjRh2ySoOuUZdDrtO9Zd60wz -gjFGWCMMrod/jfj9ib8V+Qz2p9njLLnej3wX+nnBWC+MFdauDMYOvQG9BfWM -euco9gfha4KxUnequ10ejD23Kwf4A7Ft27A2hv0eYr+n8z2jNat7IPeG7wUN -zvqMOqvWhiDvQT6sfkd+CXlr2ncjzBJ2NSD3T7kHD8H3Yc9+Kc88zT6dUWdV -jVSrDrFnmzD0cWEp1CryDN5OvEb0HZHX4bNObzntWS4MEhYJo4XVetM74QcQ -86aEe/RS9Muw75nyG90LfyxjbNCZdfYusbFBOT6J76Csz64eUa/ozevtC+NG -Zl0z1U5v8jd0Q4OxW3+eIfCzg7FYb2yWeiP4b6OclFtp8GzUn0Z/m+HBWKsZ -q1k7Mnj2CuOF9YXBfw31yGjNl6xroRqVZH2nulth6FLNA9Yy+T6zzn4g+C+k -GqqWc4Lfpv4I+isII4QV8sniOyfjXhdmCbs0wzTLNHM1e4VJwqb2xLgW/47B -/En0J2JjlLBKPbI3NiYKG9PEyGQ9QzRL9KcpJ346a53+HPp7HIuNxcLAJviC -zIXYSc8i/Zn0d9IbOZPxn09/P2F4b/j/AQ/+d6M= +1:eJwllF1Mz2EUxx+//v/f75fGXDHKyrowbpCVl4zZvFVyUabUFKn1qlfJMJXS +y5iELW1RXRkbE5vNyxaG2XJlI0ZGbLiIKzfmwue7c/Hdvuc55znPec7bkpK6 +nFrPOVcCIiAMnJvg4BWIhR/znUuDXwP9oXNJYGOMcwmznEuER7F5ie49GI86 +18RZDzwBFHC3FvkUfD7IkYzNOu73Ij9BfgCW8e5yzvbjqwb7WHzHIx+C/+Os +Bdtyzma42xza28mcHYH3gkYCX4F8Gr4TrEGewSYTXhyY72WgCP6W9wawrcCm +Cp6OzTZslyJvgD/n7Az6QuRieBNYiTwMzqL/SwzHsF+A/Eg68GGW5egHvBAs +9iwHh7HP9c1WOajTW8Qwh1jilHN8JSFPo/sGJpFfg9X4ewo+odvL/Xh03SAG +PgH64EXEVwbfjU1CjOVQuezgjaqI+TgFvxJa7dJBK/pmkAIfAcnw84HVepL7 +/bzdF9pfU8FR9FNgSLHjsx7eib4WPoh9HfII8jv4Wc5G4S84y0DeREwN+N4C +4uAZ6LPRtUXtb6rBG+QL3DmJrg2c8K1GqlU+cp5qgf6qZzVoRL6BfoNnNbsO +3xNYbx0FefBW7Mu520MMldjnBNZLylEufAeYB5+L/Xb4PmwSPav5M/hd33zJ +5iCxDof2t3OgHd0XMOpZDjvRjyN3eVajfPUDPv94NhOajVQwQCxfkdPgl0GW +M5vBwGqu2quHe3hrCvmHZzOoWVTNVXvFWAR/GzVf6hn1znffaqUeVC+qpqrt +KvUffAbc9GwmsvD/C/mWZzk8h68xMAm/yH/HApthzbKWwULVxrfekY8h5I6o ++VZPfERXoT9yNw1UwssCm23NQCn8oW+7QDOj2VkUmu9LyNXoj6NvjVgPqBd+ +It93dnYRuQs0RKwHPvvWI+oV1WDat55Sb2lH3PHtD/qLZux21Gqm2unPv+H1 +gfWmdlgdPBv/ayOWc+VeO0O7Q2e7QotRsWpn1cCbwGZ4ATHWR62H1EuZ2Jdg +f4Cz2c56fiu6Wt6sjthMtmk2A8uVZkSzUurbLtNMt6BfH9ouUg5S0B0Izbdq +pFppZ2l3qcfV69p52n3KUXdoM6PZUU8+1m7ybVYVQ3toO027TTVT7TTTmm3N +tGZbO0W7RX9sRP8gsN2rnXyP9/8DvEC6FQ== "]]}]}, { EdgeForm[], - GrayLevel[0.527], + RGBColor[ + 0.33812412499999994`, 0.3722559, 0.39544264999999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" -1:eJxFWGtwVtUVvV+S777OJY6YSqsCVUbbOpb+sdM/bWdsreNg26mPOv6owaao -aA0BwqvSQsCgDYOVVyBUA21QqOUlIAkFAYFICelAZ/qgQlApIC3TONN2RGUK -6VqsleHHnX3uuefsc87ea6+9z72xruG+CRVRFB0tRVEl5Okkio5BdkHGeLri -KHoOH2og+zkQz1iIWzH+Ecj5IYray1H0LGQZ4zsx7lmMr0ffU3hu51h8uxHt -+fh+HN9PYO4k9H8J8izG/hjtu6A3q8Ic9H2AMW2xxozG+2mMeRLtR6FnIvS0 -Be3pa/g2Hf37Mfc82l8taW3KaegvYb3pGN+Mdjv6Ejw3o/0+xo/BWnvwfgLt -2f52BO0HytpLVxZF26FrG+Q2rLcH/VshX8OzE+2NkHOgvx76fov2Gjxb0f8y -5Do8XWi/CjkP878H3c2QAzjTVPQ/gznvZjr3LOjoT7X/ByGPZTrT5DyK/pbp -HNcVUTQeuqZh7q8hT2Jf16F9CnMOcw7kPZDr0PdDjL8Pz72R2vRRX0n+ot+e -wPwZGLca8gj0fwH9Eeb+LJPt3oZ8HN+mYMwqyCKXX0KuvXLPf8/knxV4/ov5 -uzG2wWuVoWsv3jsxdym+T/Q+TmPce5X2J+Y/hb4m6FuGcWsxfjHkXzKN+TPk -mrLO8U3P5TxigGcmbriPhrL0PIxnB9oTIp1xhfHThPYnkJ1l+Yk2GVWS3gz7 -/AbaTVirlMoOtMc/4PsjttcijLsbciHkeuy1l/Ny4YfYoa71xAKeukjrcH3u -41sVwtO4kuJmGPZRXaF90k60Vw3WPYT3/UG24FleQftThexPP0zK5Rf65zOF -fEcfDiuEB+JiEuQcYgbPAuiZB/mvVDH4Uaw4PB+rTfyvxnsHni9HV77dgvZP -ctnkoVRxSv/xXPenitnvQl6IZVPann6g7blvYvKU/TSy0HlHQM6HbMFzfUlz -OLfetmK71j664HZjrtiehfMegL2uqpAPLuJ7I+bMjcQRqyrlj1OZOORkJl9y -/zzHO5l4oy/T+jwvsXQTvg2D/CPsNsB9VOq9PdZcxma3ee4OcmIiPqFNaSfy -BG3FcfzO/byeSc8WyHOQH5bETYuCbP18EMdsq9Sa1EFuoZ7NqWLogVTn/VxZ -ZyZ+lxvD7xh7xCD56oYq6ftKKrt+gv7RQXOXov3PCnEC/bM507qv2U7so7+u -gW8mY/xjQXYa7ZgirqmTtiJ22/HtjUj+oF+OQ76ENTag703M/SLatzFXxNo3 -uW5VJLs0muu4DjFKfNIXxATzAjE7yT69FGtcI9pPE1vQ+VFJccR97LKv3owv -01WU5trbMuynCh2bMKcd+6lNFWfDcb65iWJxk/ms0frJ0w3mhIluP2yeWudY -rsHca/C04P1+95M3fgRdE9AeF9S33uOPJrJTR6I4Y+wx1ji23nmQ/ecdj2ks -29FutB/b5KDbHZOMzcFv5JTRqXLYQchfBu0pK4TBRbb3sET2Icb2l5X7iNuq -RLzBXJKh/dOycMXzNZO/zHP0G7luKDkE/SsjzaOeqQyJRJzD9hC0Z5Y1vt15 -rdm55jaf5UnmGvT1JIpv2pox/ifjhzh6JhEXvh607tXeE/VRL/FD3042fnpj -YeMxxEAH/P8odcLfK2ON5x6mef4UtKsxtgntFyIGnnDAfvbN9hn/kOh7C+SR -RH1LEs3lOTnuastVPu9K88XyIOwE+KICfXudP+6MlMMYR8wDdxnHYzL5kf7c -5RgjbvZCz3yeEbKnLNxtNBbajYfngjjjZJBectqdlqvdXuL978aY8Vjjs9jT -5wvN7zAOFwTF+IVEMbjIfs9z8WpbJozMtN0OO9cxf6aJeInzLuWKxfHoezsV -N307U/120PzVimeZ64B+v7OuWwzdZ6qE1aXun2juZa1I/m11DuL4Oo9jjL6b -yKZ3F8qtjHeegWcivwzapsU8Q37ktwWuyzpdK8SuDWqdj7rMCeSDra4tyOMf -us5cG/Sddd/YXDVkbS7uJod/PxVHrDFnLAnyycdBfWvd/1JQzVCB8b8I8s25 -IIwwt/U6R5x3vh5XpRqX+/hVEH6vLWTXVtdg5HjalPaclis+thfiMeKK8XaP -sUcMMt7J18TzNte6o3JxCP0yq6T4qvWeOoLi/tOF8Ep8Er9bnPsGcuUkrs98 -ujKIa2swfgT2ODIWnsk/qbljt+tV+p0xw9ghxma6nllobM4xv5HryfnLM9Xp -rEtps1uC7HMIencl5l3IzUHcQo4hZ5A7mFOYBy7XE5HuN+wf9DP1MN8/79z9 -gu83jEPGHmN+wHUCubHKdwzWjaVY52AuPeV8yrF3eDzXvOR1edZLZcVWh3NH -AhtWFuqvKHSXIA5/E8QTPGuvcyZ10SZNqXLkf1Jxf6drDPJ3s/3Oe8dl7iOf -BMV2fVA9x7puE+SUXPX1iUw1wjHXdv/LhYeLuWqSfscj7Ujbkd9b3U8ckne5 -HteiHc+7dqIdul1TEQ/DY9UK5IkPrLPNbfLGhCCObgi6W9IHPw/y3UB8pa6g -PWkP5pw+33FOWC91znaOIs77XBO+l8lWxDpxTrwNcQ44kwj3L2aK1zXmVfLf -HtdF1N0TKx/R95WuuWnXzNj+2LG/MGgM76KMn+XmRs5t9t2wOtX61d4D70+8 -bzIupnou8xpjhTHziCXHNJiTuW5TpLEVXmu2z8XzkwNqXM/Qnzz7gPNgtXPb -XzPV8Uch5wXVLXVBOYnzG4NsTKzzfsQamrG+NbuSI5l7ql2zM3ZfNeduCOIY -8hrnnHQ9eiaT/RhH02xn2pg8+kSuWvZsKixTP/3I2GI/ccr8NsJYYt6/fHbH -Fe9po3xXIIfxv8ZG39+3BOVRxnRnJt1DvX/GzlDXIayRalyvtPidPDb4bYNx -Xun90ze84421HQ7YFteaI2g/1mbdrpeIQ2KQeZQcech5f75rAPLCg/4/8INM -/1f4n4X5iPUf80lrUL7sdx7kvwHah3aivh7r5N2EuYQ8x9zAHNELXRODzjyJ -vsKzj/VpKhynrhGYbxjTb+F9fVD+nOtaIDX2tgedbWdQniAGD+Db74LOm6eK -hf0+O/fB8/AsO4JiiPdX1lLknn2J6uTYd8PENVYKeX2hf1I3FPLFcOeXc86n -LUF9I9zP2LnXuOK/Fa550PHQ41xGbM42Poknzr9c75VU2/A7a9gLg/ffRHcV -2pH7zGLVvVcVan8nVV3B/RMPb7m22+d7U+rx1Jn4jLxPrHOdwHse8zr3NKTQ -mKLQ/yBi7ffQMT4XV49J9Z+A9iQeGZ9HXLPNILahc2RQHDCnMxYW+9/LUv9P -63IeZHzsMLewFmT8rID8t2vWrxfi3YvmXv4r6IvFu6yvmWvI01yTMXjYuf2w -97PL3E6OJ6aJ7ZuD/mHxLDwT1+Ba3UEYm+w6gPva6fqNtcA410usDY8Pcr5z -4su5HraZJ/s8ps71AeuE5qD8Tx/y7Htcl5B7VwT548WguwG5+Q3+C3S8MG6e -ThTbNwXZnpim/eNC9UC5kP6u+ErO5H9V5s3p2NvjWHdGLv6rdC3BXNrmfMqc -wnhkfN1q+5FjxlbpX9lp1xeRY5+YZTwQt9TNnMvc+77/TZzNVJOxBul2riiZ -M+m3Af9n6XGeok//D52R2+8= +1:eJxFmH2sl2UZx5/f2/M8bflPM1fYCxiWzfIPWoqW/cEhbW6tjRpHN0F8YbyE +ghrEm8uDh7VEmoPEcV4wz0GntuYOcDQoEDmBHWx6gDDLOEBWhpvW1p9U6/vx ++2X9ce++f9dz3dd93df1vV7u37Q7ls+5p1kUxdpGUbQ0/6UsiiER3tZ8lWh/ +axfFJtFH2l4/Unh+J+tF4lun+Zjm52vt0d6eTlGMae8XtH5Y337VMH1A6x7t +m6HvD+uwB2vz3KO9LdFWiXaLeK4X/Zea3xW9V/TntD6r9WrJ+bJ+X6PfS6qi +mKq9izVfK/qXtP6Z6ANt88zUekPb501k39XZu0XyrxH/Osk81fCaM7bV3vOT +2vLYh8x+6fVR/b5C6xVa/1s8yzUvkLyPifaidFivPWtFG9S6qXFY/C3N2yrv +eVzzee1bKJkf154Z+j0unlLzgMY00VfX/n5R0zwrta+pMxZrPSraKo0Pa/xV +/Ef17R3N+3SHHtG+o/XtWk/T+khtHc9Hzy2Z0X+GeCZ1xnXiGW95va/wfCpr +zkCPDxW+P3Ts88fKmHi9Y/+DA35zFnfEFveW9jVYwO/9hXHybMv+vVnrQfG/ +17Yvzon3XY0/aP3ZyutJyd+ieYF4Ltdc6Xep8aLk7dB4WmOJ+Mf0/U6NNZI7 +HfuL9qT4HtOefeIZ0VgWHE+Ivq62zLWa/9Pw2ZyLbbbHPg/UxvOQ+Ls15mrM +0pit72fEvwaMNXwf7rJM8g61jOO7og/7Z3f8Gx3QDzqxAG1h6PvFc4nmg7r3 +Se3/V9M236nvw21j4kB4btU9fqj5jOg3FvYtdsfmy/Xti9rbK903dozdpyrf +Cz6wROxMaToubi49v6T5fvEv0npC640N+4Xz5lfmv60yFs7nrKXi+7zob2i+ +W3tvEO2Q1rN01qOiT9foaxiHfDsdPICLvRqfE22x9u2SvH9qvNYwXuFfoO+j +LeP+A8yHBwytCh2b72wYF92F44B8Qr64Q/svE/0lyXtAtCu1/rnWl1f29XWV +sb0q+CYutratE/GNjcDA8dIYOlEaY8Q1Pp2VvIYfj+jbI+JZKpmvlcbr69ik +9Llvat6jvcfbjqEfa++45vdLx81I8ip5iXPxB74din+Hs+aOT2l+uu17zySH +dSz7hbZtRGwy9uQsbLYrduP7zPBD263RV3g9Eh7syhnYltgjBt+vnMu4+xuV +8cXd+4r/5xTsdmdsPl5a/7Ma3xC9N/bFnuCS/SvEM1HZx7/TPKnvp9vGNXc9 +k73UBvx6VOuDLccPNu/R/q9JzhOS973S2PmM5m/V5v27ZH5V6ysk5yuJcfix +++7cnz3YlhibW9g/J9quIdSOydj/Se3frPVPa+sIHR/tapqO3FOpD+TMieRO +fr/ZsbxLS+OW2rYy9yCPkafIZax/RD2tjN/rk5PRn3w8Ep2xObULrKDjJvG8 +0radbkjNQ+dPSM4p6TVF84628yzfOafKudgJu2CThR37kLgkr1JrqL9LEuM/ +qE1rhX48vsOHu5u2xX/BROQgj9/IJ69yZp1zx5PHuTdYBm+L0g9wF2wH1saS +z9F9R3LRaLCO737bcR7+VGVcjwbDU0r3F5OlsTQc/36zdD2dnRo7nJh6pum6 +jw+JDWJqIDpwPjq/Ktpp8XyyMk6ujb/J5WPJ8/hlMLUMv+ATbHsuNZpajZ3A +C3aB9+r4kfrIuRfidE9iGTngAJvwfWZ4+puuM2PBBrggh5D/jubsdtu1iRp1 +sjS+HtT335euw99Nftre9PkXy8fn6W8099Q+4y3xbG46J5PLwQJ+Q9ZNHfdI +4JU+sTf91daG7Ur8kg82Zy/4AVvkc2oytRiducehxPWkbPSy1sfFu6ByP0Nf +86fSd3xI9G2i7W1YD2prV8d+oAckD3P+vZXX5GbyeU9yOvjHp+hPvicvkZ/I +Sf2x5wvi6cPmktFduvbNT93Ab0dj55tSa4izHelDuCfxB97G0oPRi5EzBpI3 ++tJjUIvJr42WY+Tx9JD0kvQF1B16A+ox8bG6YzsdjK0+UhrHR0R/lvuK/lzl +WMVPS1OLqI8747tt8d9vSut4X8d1+tHc4Vh6eHqfNTkLW+Fn7tuTeCWHoVNX +eiL0wXas8ekBegjJ3F9a9v6me7WDsSd2Hb+Q3wvrdSB+PVEZI2voDRKzxC5n +jubcw6nb2Iv5cPol+qdL0ittrR3b50q/H/DVY7VxuiFYHY896OXAPjpvTC0h +x6ws3UMN5Q3wnuS+Td9fOS8/k7wxGP+SY3fmHTJcucebHXxOpr7dGLtBH0mf +xZnkjbOpffCtL52XeKPwHd16kyeI14Hkn67YvzuxgMwrE9PEOX3rvsTaW5XX +6zuW2ZtzscHe2OHXpWN3nuYVHfdz91e+d19wSy/FGfQ49NPEMm+C1ZFHrT9Z +OXfSj5PXe1KnwNGMYKmVXvaW0vViV2IMW/ekFgwlf2M33hb0HNQY8L4pOfaV +1EL450cmssHvy8HwifRg2G168E4tWyX9bgXTmr9OXyj+2zvOGVOSN5ZXzqMr +8G1lzNJrkGug0y998CZrGa/DwQD1vze9JHYhFqclP1JLm+kHbiudvw6XrjPk +FPIJOrImHmblDYIff5G3JG9Kzr0o8XA8tWMgfu8OHrbHbvju4rwxnu+4DyP3 +nSptX/IXGKYmXBUM8ead03YevdBzd6e3HE0t7spZ6PjtyrxzNN9de++y2nlj +Z2y1Om+NY5XrFzilrv0jfR393eK867EN+vfnXdbVso2wz/cld57235X+Cj/i +U/TbmrOmpiaA6fsq+35h6bgbTF9BHzGeN91Qes/u1Km5sSGy50X+Zalp4LJO +TzWe+jOQGrgm7/VL8x/AyeQozkaHVzVvqP1ufKh2/sS31LlP167fU2vnT3In +WPhzcgK5gbwPlvjPgHcOOtGD/w8RJVJk "]], PolygonBox[CompressedData[" -1:eJwllUtsVVUUhve97bnnnHuukChKFKSCAcQBI40jJ0YTg5gY0MSJJalAVUop -LZSGEGFARWsiPhAs2IJtEKMUKI+2CoiUgjzkkaAiyEstRY3EqIkDg+D3+w9W -zr/2eu29ztr/Hls1b1ptPoTwOlKOHIxDWMB3QRTC7aUQDqEvRG9EH4m+Kgth -E/hR1t4BLyyGMJPAX8tCGEpD6Mf/OWznciGcSELoQ5+Ffwf2K+Cv8bkMnkFM -HbHryLEZ+3Ri1oKXYn+Y2NnYG7H3UrNA3ApiGtDn49OMfxf+p1nfgf9IcA/2 -neBTyHniJyE56m9D34VtNPnGEj+e+L+xHeDQE8Bb8bmAfr5ALmr1IBF5XyFm -Pv7z8FlGvXZqnGR9OVIHXo1/B76d2Jsi96gD/EHmXqmHG8A91J8A7iNfL/jd -zGdVD1eD12fudQNr7eCZSC36A+j11HoPvS5yT9eAj8XuzWLW5qBPSdzrXzjP -i+z3zcz/phP7W+DfsDcHn/kaeAN7bmHvo9AfQt+CVGHfgv/7+P/OHm9iewRJ -sW3Evx3/5ZoRap/GPjnnf/gNeAwxJ9BvEF+Gbz5xLv3TVmwDsc9Wj34b9t2s -HYi8p8/Ax/Hfz97z1Iixd+H/NPaTrF0Cr0Imoh9CPwW+Ts3hea9NVi7kKLiC -+GpyLcHnLvQf2N+3+B5mrY39jafeXmxV+M+N3OPnwVPxuZC3zxPge4v+V5qp -ceCbRc8WacIN8CRiAv5jib8fvBGpYWkH+ofglti2AXyOgx8v+SyPIUtJcpka -g+SbQ8wlcEbOtNxn1tk/1v6w9aJ/Av4+9ewv0p0Cn009m43o36WeWc3u//+Q -/JXkm0K+IeoNoh/AZ1/OazOwDWPtqZx7qF5eQa6W+QyD4E7ytZJvGXoz+9HB -dZdS1oZjG4Yk4EpMU7GNRh9RcE/Um3zJs6B/qn/blfkstbhsBkfYc/j/jH0I -e7n6k/NaAVxC4oJnflbmGqqltVuw3YfcU/AZmvXvkJeCe3oRPEDMXvQjxB8E -/5i61zrjT+BWZD34nGI4XxM9qS73zGv2n0x8Vp1RZx2DjARfY78lbOtSc1kN -/mvBa5A29GPku0i+afjUqz4xXcT+S/4r5H+b/WzFdy57WgJeic9X+N+tnuZd -owL8UeZZ0gxsAp9JPcu6c7p7qqnampkSuSdqjwX35AVqf5GZG1v0D8CfZ+Yu -ceY+8J7MtcVpe8GvIm2ROWpF5jumu6Y9VZKvP3MvdcdGJD6TzibOnI5egf3W -yBwgLjgce1bFoeLSI+pxMIeLy3vw2R+ZQ8WlX8aeZXHondiXZ76ruqPN2ps4 -OnJP1duVmbntQfQ3wNuR3ejz0Lsz91i9Fud3gxsy92IP9jOxOUJcoZ6pd69l -zqUetKj3yL7Ie4wS3wHdhX70Xmxp0f9aM1QEH439lugN1Ft4NfVbqDdMb5ne -HL094piz5PsnNvfqTupuiuPF9eJkcfOfiblCM/wHOElcWzNTQ/2dmc+qPe4C -VxP/cs4zdp1aRfwHInNsn/qR+e6pR9syc7i4XD6foiclc6/uoO7i7MxcrZ6X -k2sc+h2R31S9rXrz9Pb9hd6N/dnEb4XeCL0VcdG91p1Iir4zujviiFHYryZ+ -q8TR4mpxlLhKM9QUmxPEDaq5ODaHikt1RxeR75nEtcVR4qr/AOFXMSQ= +1:eJwtlUtsVlUUhe9/+99z7kAnBIgWH5SAYhAGOFDQOEAwjgshkIACQahYaIEW +tQVDoY0hFGNEILQEBKoCDuQRHmJaWx7BAoHQUnxgC6gRaxASiCMd+K0sBztZ +e+919j7n7sctW1BVvixNkqQGKSK1eZLMAawqSZLWmCT1WZJ0QNiKXA1J0ot+ +Cl8lnHVwv0Lvw3cWSeFPRgbB54k1CXwcfyv87cjX6Ac5c4SzlwrkJN4X6DvR +X4W/FO5CbHOL/98B31psG/B1cX6A8z2ZcSfSj34AThvcMuIN4ewd/A9S32ko +/mtIHdw6YvSB34e/EH49+mL4p+Hvx1/E9iS+OmQe+GPOX9J7kS3gN7FVgE/g +7wXv4Hwp+h/Rbz1PjEFwJf7yot+st3eg30L/gPu9Dv9F9LHo3fh/wt+OfgP9 +BWLMwj8ZfaBgzkvgK8RcjO8o/J7omqg2urPufpEzH3G/KejV6Otz1+ZZbGtz +51Cujcg+zv4Ifzu+ccgafCXRtXuEHNvQr+NvRR+PVIFL8feDbyAX8N+Ofus3 +8H8H7yXHZvI1cueZ8N9DH5P6G9bnzqnczbqz6hWNuzn/YeZvqm+rmqg2V6Pf +WoG/FxyQbuLdRC7CPwd/E3gUsiC4J9WbzyBvgb8kxudFf7OV8C9gG41vtmoE +LifesNQ1Wgp3T+ZeUI+sVu3hlKXOoVwHkVXgo8jf4E44tzk7gfdWol8Lzq0e +7QPPIH5D6hzTwaeCe1sxT4OXBddG37iBWO3oTeB/yD8U/VNkE/EPY7uPbxf6 +y6ltu8H/EvNXuI8S8xD+49G1q8Z2Arwyuhf05hV6a+7YTdy3C/3x6Fq+gq0G +/ET0t52KXgvekru268i3Fdwf3Ast2H4OzqncD2M7DP6MM8+BJxG/DbwGWyNn +92D7DfxDcK81c+Z7cG3w7B+Dc4j4n+TOpTM6+27uWVYPqZdWU5+TBc9gD/7L +wbPZhm1R8E7RbmlBjsGtRt+BrxnOcvDlzLVSjOvoJ6O5+oZ/4RsRfHfNtGZ7 +fea3akdpV6mn1duqUQf4Luf/TL3jxoCnYSuU2PaUahP8dn2TJmINou9LPdMT +wSNz7xrdsQp+BZynE8+QZkk1V+2PIA/A3cG9PhPOd+Al0W8bqX4Hz8E2vOAd +ql26IjNXO1G7cUT0LGmGH4v+Zvp2mhHNytngWK/BOaP3Bc+meu5e8MxodrST +38ldM9XuALbGzDtYu1j/BP0b5gbH0s7T7nsDf2nqmZgHnh28C7XztPu+Dd59 +4nSCu7DlmWd+YnTPqnf1xnbs85GHSjyTms1bwXd5Hv0X8O7Mu14xFKtGOzb1 +jtSunBrdu4oxDTwQvMsnaMeBGzJj7UjtyreDe1czr9mvD86lmm5G3xY9e6ph +C2f/A3IFBeo= "]]}]}, { EdgeForm[], - GrayLevel[0.589], + RGBColor[ + 0.42018837499999995`, 0.4502661, 0.46583434999999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" -1:eJxFl1eMVWUQx8+t55x7jsgaJYpl2bWwihgFy5MFQV2wm1iwgFFRiTUmlijY -u1kTFaOxRR58MQIafaCExYCIyC4hsSBigomFRDC7C4iJoPj/+Z+ND+fO3O/M -zDd95nTccNdld1aTJJldSZKaYEN/FjeT5BnhV9WT5Ao9Y/Vuq84vEd4nfFbL -+E2CGyumuVb07Y0kmab/84Wfm5n2RtG8KdjUc5TOb9YlNcmaov8rdM8cwVTn -BzV8B/IuF80PVfP9JHi65C8QvlDPGcInJr7zyrh3t+hvFz5StCur1hud79bd -1+j913mSTJc+db27Prcu74Q+hS6/VfSvCL9X9E8Lfqmz2S3Lnya+1dKtKt7J -4jmmYh25d4funV23PVtEMyR8UM97ZZJU0EO8XaLdpOci0fc17Vt8jB3zxdMv -GQPCD6jYrk01y+eeHuF79Lyr81L6zBf+hvTfm/t8BD4W/p1opwrvlNyKZF0d -d46Ne0eIt6Xz/QSrLdNUBLurPr9DdA/r//mCndJ9c8V6XyzezTX/Bz9S746X -zicVSfK3fDSmgmKCDcd+qv4vbToO5MF+IesC6dahs0sjN54Q/+eSu0K6H1eY -/1jBmujbhB8hfJ9gh+gnib4VMcKne1vOl1v002g63thKjiCTPNmld22Cj0vO -C7n98bzgQNV6oMNOwYl6ZuEnbBB+Cz6UzLVBx9mLkrlI9BN1vq5hniGdPafn -ZZ2nqWP6bM2yeN+r8wU67yO/Wrab2CDn1Ib9z/+3c/v+LcEHpetLeveB8EV6 -PpG8v8X7aGFbsAm9OsOPBzUNyY2Pa+b9J/F77OUuZJMzfZHnxAa9r5PMmaJ7 -R/fMqrsmpwQtPJtFf3/L9vWn9kFP+OEbwf6KY39o3XfPpQcEHCWax+TH8yR/ -l2BTvk10b11wf+n4S9X8Y1ND8oo87YtcHZ+57tdkjn9v5MA5md9/Kr6Z0m29 -7lsl/T8KX+EzdJhYd333CL5Yd0xGV5wX1Bc5j434BH7k/JXalz1Ra0sK59oL -Oj+jaVl9wdsTMlcIXx66dbRs94e563hh3PVuafweySka7mXw0Nvw3dzoQ281 -zHde5CP5833NtYd/1mfO85WSsyG1jvNS19maqDVkEX/02NWwfr3RB+DFx8SS -mD6fWo/RoT/9a3X05O7c/h8fMdwQOn2RO+bUfVfq+O0JmxaELHryxug71ZA3 -T/KXVW0ncRkRPeFCyV/StJ8nxywgjtjQG/5Ft76YI+dGL+VOfDKy4TvPJkep -W+4sXbdro0ZOlsxTmvbn9qpzfUrotj30ox7wH36ZIJtOSl1bQ3oG9YzTPTuU -D0P098I5tTN8Qv6Sz+TpH3q3UzS7Cp+BYwfxaYsY7W1Yf/IY+5C5PHoGvWV6 -5Mbc8BV8A9GvmCvMCXrB75n13545bvWwBV0nh8+Jw9aI+6+iu4TZLv+c2XRM -ie3Pmf03Q/k7EPOROfmYYn2O+B7S+eO55wLzgR7HOTOyzNzvj5DMX3OfMT93 -xHyH7v2G84+4XR3xWDTce5u2+/KGZxC1RaxOjXiNl9wjhR9f2p/4Ej9v09lv -Tce/J/iozekhH951uefnvtR1BB/2b6n5nNmNX5FPvmzKXDfUMTKmR/+E7/uo -wR9qxpGzf+naTMT3bW55c1LL5g52jg1hW3fsMcSVmN6aea4wc8iFruh7B2a+ -d2XhuPVFHeFD5hx+TEvnOfnOfKSvok+ldG7tK5yTHdFXt8QMYhaxa9Dr+qPH -0//p8/S8S8Ne5CGXO9gpsAdbJpWOH7OUOqZXsTvRa5eFXfSAtuh77aIfJVmH -l64pcHKFXKdfULf0EHT+b46Ufk9O/RY6TAr/g2MjMqhLet/w/KMu7ou8fES6 -LS6c/63Msxw/r9LZWaXz6n6dfZM7Rl8x+wr7v9T7pwr34Sep39S+WSx4cNO5 -Qi3Sb+kJ1AN7yrbIQ/KWvMFH7ALseeT/vdH3Dylcm/CyZw5Gf0EO+9RQ9Bl6 -D/6aGvbxf370OvyCT/YFToyA2wI/MfW97Jbny7YrZeMFgn/k3o93Cz6Ve5Z3 -yd488x4zoLNK5vzeIHwwdw0PCa7NPe+/FOzPvZuuz72LsZNhCzi7BX10bMwG -Ytoe9gzvhEXQE/OumB088JCrwzvBmJgFo1J/G5yWeYYyS9kL8Xt74ZnK+U2F -dwtyNyudB+TDVsHlqfPzC8nYUnhH/1FwaeGdfllhvdGP/oxNSyJGxHpp4HNa -9u+K0jMK/dhBiRn05Bx3Lo64ozs0zLJHMu8Q3eR49N9pUR8TYta8VrjOXxfc -XXh+/yl4XOl9dBx8pfPs7NJxIl6dhXfrzTFXv4rc3phbL+xhvt6R+ptqau7v -B/a8NwWHMvfiHZl3HWj5diEnyI0HZPeY0jXQIXhzxGRPy/s6e/thpe1mD+ab -cYLOx7Mn4+PCc+2zwjVP72He8O0DTq84ETtF82rs7APxfTcjc62z7zBP2FGZ -Me+1PLvYMYf3zmbMWeRQp9QTdUV9EQ/44U0Lf6M1o0+wB8yL2TEm9vMDQgf6 -GzO1HjTouz70J67kwajYh9lryV96fnfsBszroZCD7SOjp5G/4Mjh25H5XYud -hW8D9ne+i/iW6RVcmHvHXiA4Tnp3Mvfkk9sK+3td5Cy5SK7Sh+HFl/jssIZt -P6YwfrTgjYXtvEHwgdS6sAsQN/w2L75D+SZnj2C2MeO2Zp7Z+Is5i+7og48e -TN2n2TXoN9QP/p8Wewx9jJ50RfhtML4T0Zk4fhy7H32DvGIfO6Hwdy7fu+g1 -rvF/LEbHrOG7f031/2/O9uAdiG9x/E8f4hwd6JdtMeP+BTZVB4o= +1:eJxNWH1sV9UZvr/e37nnOlj4sMUhgoillK9sEUZmUUPijCbIqAX8A01oC0Mi +rILypYOKMF1cMsDMTZEAlo9AoS2NFGWBsuGAgiAKAjpNrLO474ztryVmCXue +PU/T/XHynnvuue95P5/3PfeO+qdqGkqSJPmqkCQp6BSMNzH5LuiTeLEF6yMx +5gbROqwvxqjE/EnQcqxfLCbJ7Xg+HUVPBn03DKMGe36aJUkT5oNAl+B5bEE8 +9uD5EOaloMdBJ2NsxvrwTPOd4HcJ8zVYWwOeFZDnFxh78K4S9FWMdswfLhGf +cRidGDPw/G3QW/D9KNCuIFlH+dzxoG9hrEikzzKMpRj1GE/7+Rp02oo9CzCv +wfePYDyF+TeKOo/fN+aSYxFkHF2QjvMS6ViO+Y9Az0CGOzE/G/TMfQ20Mda/ +g/lE8LgH78Zgvpq2LRGf0ZaV35LfSowKzFeBthb17fpEutJ21HeldaNepeBZ +jfmn9tVB+4sytJtnpe1H+z4Eeg70GMYCzHPaD/ObcNa/sa+tIL+1Wa5liJHS +Eu37HfT/GebvZlpbh7GqIJ1arRfjZCfmtZhX4/0lzKsKstN+22pHorXtoB8W +Zad51rvFuq+I0mVElJ70+XLQOeA/O8iWO/BuAuXN9c0E2+YC5FsI+lwu29Fm +L4BG7J+I+STQ/pni9gT4dGE+B+9rQVdiLWJU4Hl5lF7DQetBbySy1XzME9oO +5HSJ7MjnESWyzysFxe4By/ME1jZgXmYbjLYd9hbkd9qZOh0u9OnR4W/H5Vov +g2xXYasrReVMN563ge/noP2x1q+obxjT1HUdRkuufHkOvJux93sY3Y6h485B +ysNYpEyToefboEMy+ac1kY/uAp+LlBvr0wqKHb57Hd+NwziKtbtxxjasbcT4 +daq8YYwOyOTbN/G+GGQX+vM3OGsH9h2Pih/6k7rfa9+utt82W5/TBel7inaN +iuPPsO+LgnTrNi5sSBQnLUX5/plEOdTpPGLerzfP5zE2WWbaa7Of9+PbZoyf +Yz6gqNzj9w8H6boW65eLsg33f4n5fPoQ4wfY05gIQ7pSy819BcUBY2BWov3E +oX0F4RVzlvFSYb+3OK9okzNBe4hz860T9VhgXfnMPJtmn61Ktf5DjKOp8p7x +RhwdYyw4kvblerPzk1jxMtb/YF6MY+r0AMb0IL0bjKHrbD/a/JDtvjdTbt8G ++iL4/ASjhfuC3u/G+ivQIYEM34zCiZHGCupCHKbMv89k+xeC7HfKNmwNysF2 +fNsOmx8s6l2NbVmH0R0V242uY1v8nrx3mf/eXLn6OM6ZFOST72P9RC4MbAqy +DefE1H5RGNuN9YFBuU4c6IjCisOsjdD1P9g/k/kTNL9Of2B9dapziZWst8SW +c6li90H7jPFLW7EmUxbu4/tu5xvj/Z/G7rIg3OdZNwqixP/cuEXZxkTt38Sc +yxV//aDvgIIwrsJ2pD3bHNfMZfp4K+z6RlH4WGaZKVNTKvmmWF7iCWUeYH7c +xzOrLedyxyLzfQLO6Ckqpu4LynNizYtBPHog29ogv9P/IchuxPGxReV4r72+ +sE02Wb77fTbtO8V5vM45zvhgfm9zrj7vd+S9yn6pB/+6onKj0/i43vyGlojn +kVyxOAyyXcuk+1rQiigfPJAJAzcZMx+0jLQD7cGY/9R2o7/5rr/jivHFnOT5 +zMFduc5dBH5fp8JJ1g/m5UPmezzTnkd5LmQ/nyreGBvXbf9p/ob7r9t2XP9r +1PrLQXlAnzDHacsN9jdzl3pQ1nrXR9bJXam+4X7WIuIg7d0UVZcuB9UK1g9i +wY+hyzzseRa0xbhN/C5178C42VJUfBEXN5YoT5mvE4P6M+LrrKD+jP3C1CB8 +oU93+lye/4xxlVjCejbPeNWRqs4R4+b7HOJah2sU8ba3NvRia715veW6whhm +T0qMZg1b7nMYP6w1fCbGnYzKm3eDanGdeb2USmbG+reicP/mTPW/2di7PVVu +Mp/257LD00G2mW25z0b1DStcEzhn/0D59liXDeZBP9JWVaEPi0npU/a5lI1Y +Tl9dclxWuO9m3h3I9bwwEx7QT8RS6jHVPGcE1UviB/Ntme1XEoWTB/F+kHGT +WHMb1j8Hz2Gg59wP34r5+SCszaJszt6bdmdv9XoqbLvZfdjfguoj+fD73+bC +rsWZ7ER7MT63B2HDkqBedahjbqRrAvU/EsX/nSg56wrq69hzsQ9j/e0Iwnni +fWlU//f3oHwda9+xXlTaF++kko+1nP3A0v/DnaW2EfOdNZm1Obg3Ih5N9/2D +PQRrN+OXmBxdc5gvF4L62Oj6U+93zDv23PQnY67GMcNehucTBxPblPvnGIfJ +i7WY90Dahrh8r3uwu6NqWVVUzDHehmK+zH1+F/u3XD1oJej4XD3ThFxxN9V9 +4RtBd4nXsP9YVKx3gnaSD+YnMF8ZlAvvYb47Kmf2gN6aCXuJwdzH/WWYn8mE +F2dBP87Uj36SqeaxDrVib3kmu7CHnWf/3o/1JZlihrHzqLGUuDs4U94x/1gv +WWNeAl0cNGctvSuqN2C/sC+oZ9qLtT9G1fU/RWEisbG3HnBOPJzle3RtIlwj +vhFHvvKcODvYOcN8IR1suVnnWfdZRwZ6D2N1omsrv70QhXcf+I7Os4iDxMgr +xuqPo3r0T0A/iorXy6Cjo/qYf4BeieoRr0bd29nj8T7RYzyebfy/ar1YQ3q8 +Pt+6LbDeV7yHsUz8Zny/FnR3SonbvvMTb2g/1nvW+EH+n3BHrvrFGscaxrs0 +e/pbMt1J6N99oKdC3/+JS7zLYP/FqJg6lAr/R+DbFPyH57r3xKLOeD9qz3nQ +v0Sd9eeoGDmeKgdLc/UCnZkwhr0QcYbx2JT2/VNp8vqdufiPyhXv/zK+8x7w +tWs6sbTLteymXHty4m6uO91u/k9wnWbfyvpDvYgtjNPWtK/PP+Zev8HPxBfm +NPVlH8z3R60LZdxlOeln3v+JYU9k+l/Afx7skVi7WQt4T2ZdY317Pwgbef8+ +aZsPzGSnY+Z/De/OYN5j/GCP8r/+JBO23o7194LqH/+dfEYsYNwGxSb/v7AO +XAzyNf+jkHendWQNIO4djqrjtNV41zGey96HWDfQOcL6wZ6D+El5hrh/5p1u +hvtf9hePBdXGuZ7XJn3PrBczgzCdeMq6N8P3vd5/Z9zPesl4/iBTb9Dquyj7 +q0muSaylk1zb2aPyLrPRWH3Qd0/mE/vmOZ4zz780prDX3Ohaz/6Q9Z41enLo +4z3ZZ7EnHOK+sPduzD6HGM8acI8H/0Gw3j3mXqvW8sy0vszdGtcn+nC2a8dF +92e9uf2Iax7tNNP2OVCUvagXecwyf8pVZl/MtjzkSZtRTvZU1e4xGm3/avPk +2gH3HozV4Bpaap7nvIf7m+2HNv9T65WP8rb5Hc9a697+1Vz2m2R7ck770p68 +i2woat+vcs1/masf4D2CPcE1+4u+W5Nrfad5bDWfYfYZ6/Qi591HmXoAxiXz +iLHQbrvRX/fZPjdcA1jHeRbrB3tm6s9egv0gKW2y0PFS5VpMf33oulDtmkJb +se8ren+NY5T9A/8b1Pt+NMOyNTpO5jpfyJtnsNY9655/dS75mx3b1Y6HZscJ +9WywPOWOB/aUVebDc6b7LPYa5caa/wIa6K7o "]], PolygonBox[CompressedData[" -1:eJwtlW1olWUYx+9ztuN5zrkflUUNQ8s5S2y+ZEn2qVmG5LZeJPAlEw11MSHt -U02X0TStFCcURYEvJNiXqFHUB7OcYS1ftlaBljZhhiy/aHq2uSgt+/37C+fi -/K+X+7qu+36ulwkrnn9ybTaEsBUqh9I0hMmZEHqhkeDNhRDaykLYAW0B55DN -xy6M4Ac+l4TQj4PRuRCa8yG0I+tGNwO8oRjC7fB1+KpENh48D6oFd+OiD5t/ -sPkc38BwDXwdMAn7U1A38eqxn439I8T4AH0/8c6DbyHeemzvQj8BfiI208AR -yoE/RP9uDOEsNj9m7aMO3VHOfwk/k8tOB59Afwy+Gn0N+t+QnYOPnH8B3dTU -vi/pjuh+QnYE/BznXyafU8jOwC/gDmvQfUvMLs7O5Ext6jM6Owa+Cr4Lm9e5 -a57//fBf8X8HfAl/ec5+xJ3f5Pxn+GsHn+f8UvSL0K8m3qPIFqGrRHYa3Xpk -Tei2ImtFtxBZI/wFYl4EX0W/Qe9PnAOpc1buw9hfwX5EdOw+YvaBWzmzA74N -2oft5NTfvgp/TehakK1GN4DsMue/idY9RYyb0b+Efm7GNaBaqCv4bXYimwe+ -kDi3LLSdnJqwX4i/xVBD4jvoLiWoAN+DTWfWMRVbb6q3HURWQt8MzYK/D5qN -bhC+I1j2IPxO/O3FVy+yfnwdjs5V36gTXMT+YfgM/r6AXwW1w98ErQTfA03F -dhp0r+op+q0uk89G8GH5zLrmVHtd+DsEP4TNMPo/o3EH/gaj76y7dyI7AP8H -9m+r95BdSvzmenv1yCvwA4nvqm+ib5Ok7r1q/OVV+6lrqwKbu/F3JzQO389y -56Xc/TjxXguWTUK3Df4t+Cr4mug319vrDj3KBf376K9yfjr6NvjqnL+BvsVx -fJ5UPRD/KLgHOl3mnu0CV5NPQ8ZvNhFcn7h29Y31rbOpc69AXwa+iM9/g2u+ -Jbqn1dvy+T3+hguuVfncBH6m4LdSTlOwfwf7mpx7Ur3ZDi3IuefP3qj5yhsx -FGsP55ejW4O/3eAjiWtTPahe/BvqId5efGzH/zJynhMsWw7+uODeHMt9quA3 -YVPB+e+QvQruKBg/gP4J9J8U3KuacZ+CSwX3jnpkI/gE9LRmIbKT4FGJ314z -V7M3Fj0rVcMpeEV0be4ivy3ggH0vul+hH7DfHK3bg81a7nIo9SzOcecl2I6P -fnvdaV3ed9Rda8n3L/hVxJhf7hmrWbtS8TOWNYLHpa4dzfSx6sXo3lANq5aV -g3I5A2Xgx6A/iG0Jm4HonJSbZvDBvGtUtaqZpdk1lHjWq4fVyyF1rV3jfAY8 -J3WvL0H2ELgU7Vs9p95Tj/3fa8iugB9LvMv0RqOxX5y41zUzNTtvS72bVPPL -tFvI540y98zv4Fujd4HuoLsMRfvWztPuq9fMLfNMbgBfj871cc7P1a6J7nXN -mP3gkcQslrtGVavrip516slm8C8F14Jm/s/g96J3mXZyI7g6+m21g1vy7nn1 -vnpgRvQO1i5Wjx7j/LaC3ypDzCz+v847N33T7sTfXN9eM+/+xDNNs0013Rpd -46p17Tjtut3Yz8p5Z2p3Zor2LZl02qnarXoTvc2U1LtVO1q7elfBvac3GFV0 -j6hXtHO1e7UTtRv1DV5E9x960BxT +1:eJwtlWtol2UYxt/9/3ve57UWC12Uhy3UuU1dECWRQRH4oT4UStC3QLcORtNi +BbVqdkBcGB2ITC1rtpObuWmgU0duxmJzujm3WboyHKF28EPUpyAC+11dfbjh +vp77eg73/dyHhbXPPfJsLkmSd5BCZDhLkuqQJB8UJElNmiS3xiTpRb8NGWf9 +F/BoPkkeAF9Bf5q1uRzwBtIHvxlZj/4+9jps1ZxXzMH94B/h12MfQv8Mzgz6 +k3BK0Os58xP0eXAqsV9kbQF6P5y7Et8xgN6KPIPeCqce/llwFbgRzhT69+w5 +hK0aOY39DGsV2J/CPo6exz4sh7Hn0C+mfssweF5qH+SL3qS3XQXvRV+KD/fi +yzrwo4ljpFjdqBixdy1rxehtSB38L1h7CU4deBl4J3Ie/RLSDfdu8GX0A8Fv +eRwp4T0/IMeIxQAygW1HdGwy7NvRe5A/0B9EuvV+OKvRryEV4HPIUfhLFWP0 +ptR/sYprmuHexJtb845pCfoga/Oxf4wMwf8dmcz7TJ09De4DLwc3o3+KNIB7 +kGHsN4ATfFmDvSj6j/XXtyOT2L8FH4FbAZ5A72Dt4ZxzYjn3d4LXgCexlyt+ +4IfA12Ffgv3O6Ny7j/UT4H5wM+cVs/ZV9Jpsh8ErwPvRr/GkWvAc8GOcWcZ5 +bYoptir4RYXOEeXKGeULtnLwqHyHvy3nnFqP3sueiO1F5DD2k6y9h22X/gx9 +EHk75zs2wk3hVGH7C3xH9B7t/ZM7ZnH3r+Ax9JW8YTW4DHygwHvGgt+ot7Yg +X8sG58tC14xqZ4C13dj+RuZk/gP9RRv22aljotiIcxx9W+Zc28wZ29E3BOfC +LvAe8AL27AafA/eBV7GnRmfBG8zso3y9gv04OMvsi/7gGNyNuhP7Puw9mXNO +uVcDblSuBeu1yCbwR5nfoppSbR2Bv5OznmDPuuA/0F8cZO10dM4r98U5Gv1m +vV05W8T++alr9wT2aeUbsgI8gMxE+yTftFYKdzp1LerNentjcO/oZ/+FaJ9n +/59DPcE+y3fVfC38Sf0p3H3sb1B/Cd6rmlXt9kbnnnLmUHDOK/e1Z0r5yXn7 +OW8z572OfSza173KMfDNqWtHHHH3YL8fPALnMvqlaH2KtaZgn+X7FuVAdM9Q +71DP2ZC6R6tXK+d+i+7p6u3K2W/Qu1LXnnKgE72BO9cWusZV68pB5aJ6Rj9n +v4IcLHCNqlZfRroLXONn4ban9k2cDvRS9awC9/RRvTW6d6tnDgX7IF/UA9QL +Xgv+O/UI9QrFWLH+EDyROkeUK+rhO3QesgjchdwSzRFXPf8F9bboWaI36q1b +kZ/Qt/LeruCYKXZNSDv6Pcg/OffAJegzwb1NPbdS9Q9ejN6JnFSuZ541mpHL +MteAauFdYrAJ7ufBs6EF+1upZ4Jmg3rOeHQNq5Y1MzU7NWM0azRjf47uyerN +edbKsC3MfFYEL0YvzWz7byayvyPaF82YLfqvzLNPf/pq5p6j3iMfV8JdlPks +zSzNrnLwrELPkO+wd0bHSjmoXGwJ7m3iiHsheBYpplexPx/ci9QjRzjvzeBY +qIepl2mGaJZcD64An4rOfcX0FNz2YJt6dGXmGaBZoBl0Hu7c6Njrz0eCe4p6 +i3q2eve/ZnwvVQ== "]]}]}, { EdgeForm[], - GrayLevel[0.651], + RGBColor[ + 0.5022526249999999, 0.5282762999999999, 0.5362260499999999], GraphicsGroupBox[{ PolygonBox[CompressedData[" -1:eJxFl2molWUQx9977jn3vMvJezEF7UN6k9TUckmsL3WvZcs1RfJqkLZIpZBb -n8LUChcoKMJIEjRbbYEWy77lHuR2r1aWkaChlaVCmbtRmf1//kf68DLPmWee -mXlm/jPznOaHHhs/u5QkyaC6JKkXnVskyRotPsiSZItok/h9xD8kofVa99K3 -XevrKknSTfTVapJ8ov263Hx4YyRzi/SMlMytosMLyy+TbBfJrZLeldK/oUG6 -Jd8u+Vbt36jfk7U+X06Sw1r31DqreD1UNtpqSbJL9KD0fKHzV2r/H62/r/d6 -rPaONFiec4Nl9xrRZp3rEXpbJdOs/ZaK/R4mma7yYajogJp5e6TzqPb/Lfvc -LNEm8Z6vt8+sV0lut86N1jdNMuvFb6xa12Gd/bVinw9I70rtNxS2j074k9Ik -eVoym2r2BZ/GS+6U5E7q9znR+fgs2e761krukM7+nftu6Cc30COxbtKZC5Jp -FJ1XWP73qu2ik7tj/0L48FPJ9+SOM8SrSfa5escwrzj+c6o+93Pq/OwsOUcz -xW+X7B3Kw22F+Xur/lh/LfnvtO4AK/L9q9RreM36Vkj/sLJxBt7eFz2m/ell -4wdcdAQ28O9bybTIjx2Z/cEvZKfXWx5MgI3VopeXzH9Zv/9IrfdYah17Qs+7 -imOb+ItS33tdg+/+jb4u8m1HnffJ7SbJd2bG2Zei/bV/teTXiP9oal+fkb5+ -DebjM7lEDpnHpX+Y6I+SXVj47gdFSzrzknQ+J51zq8bvL5IZonj1lZ4ZWm/P -7HdHZlwfibogNv3CFjb7hj8bReeBt8T2wf9bifN5JOqiPXyDf0XZ8QdrE4KC -N3B8LGqZ2BCjZeL/VjUmnyhcD+hCz4Opa3+q/NxXsp6KvrUl45/1OcnPLjs/ -4A38o5N7nQ9Mgo3eVZ9ZHTm9THHqXrIfyOML51lTc9Qe9Uj+kBlbZx29Qs/U -qmPyV+7apZ6RH566Vo/qLqtr1jlfMk/lvtPuqmv8norrfHFm3Qtz29kVtpbX -2RZ9MotaJN8nC8e9R+G6Ox/95KB0raiz3LzcOP1S5+fKnxHam5m5togjum/P -TAekzu+n9c4B6+5xt14RN3ygrl6puH8vLrxeJPpZ6OsTscJ3bLdL/zp6sPQv -0dkXy8Y9d14Sa2LWGH2P+h4RfaB31DM2zxbGZqf01Cme5yskyzXHupPYZbZ9 -QrSP9nrqDlfVbGt2nfNNT8uifzIXWqKOetdcV42p/eEsOAXj4Jm90/o9POqW -/JAnsJOHzot5Ee9UzBrq72SssXUqZgMffOYBveTyqAVqtzlwtShzDZyNGiW3 -9CZ6CP2DmdQZM5Oec3PuvA+U/x/X7N/nNdvENj48oBhOka03pXNzzb5PSS1z -MnxjrrZGTMDQisgpfWhD1AK4AB/g5Mnc2AbjN4i3tN4xWhC9iJ4EppCnb7RE -LNFPTVNf3P3S/GuPu9EPxyS+67iy+xc4BlMviD4ru8d1vil1DNZHHOgzQ8vu -Ca015+xUaiyBI+7yTm7sjdZ+79w96aPMGCE++/X7ptyY3qqze6VzYtn+bBbv -7rJtDkodH2LfI+qxp+i43FjYKJ0dcR/Ovif+GZ3vmboOwfko3hE1z+iBNfcx -8ED94C91hs8tuWt7P/6k9hnf79KZVmJYizuVjHNyx9lLmASL4I38sGbu4Af+ -LJOejSXXKTHkDUUsiMPIyOstomcy9y562MDC2J2SOQfkYkHuWBPz06l7WxE+ -EbNxETfojsAuGCamvWLW9I8ZsjM1f3P04K5RI7OqvjsxeFW235YPr2XuA53h -P/lnNoCBauH1+qpnL29NbG+J3IySnqbcfjaKrs6M1w8z5xYMEP8z8XbiDUU+ -d8SbkBwSQ+LJPdEzO/oU/eqE5G9L7duFwrGfHHOfXng6+gm8EaHnPvlxp/Ym -i45Mje1JuX2Hz+87M2O9Lft/vnLfqbnj+7DotYEr8MVbjTcbb717I98dqXv7 -8pih6IVPDHlzUPPTJXMuMy7/jPnLXMcm924Ln6dVnAsw80bU0uuZ3yVgkJo4 -kPpdODEzXtBPP0HH7ogD58DfrnivEONHcr9DwT+4xs6qsAVm0Ul/bIz5C1YO -hi1sUjOc/SH1jKbP0G/2xP8L/mdge3jchdkMzl8WPZ655zBLJ8QsY6a11Cw/ -J3W9bg980tOOx712Zu4dF6qeK/S9QTVjEUxuE29X5jvyRiMfxP/+3P1vb/TA -rZn7/rbMuDsU9UJvAp+tuWcGubzY9xocz7aYV0uj3snzvqgLsADO6cnkck3M -/SHxv2Zw4J13BTheF29lsEFv4s7EhTPooSap025xd970zKvThd/HvPeuL/xG -I1ac/w8QBMmy +1:eJxNmFuMXlUVx8838+1zzmAvlCLCCMUqULwkWgtPGunUJ2Ms1DciJcYXb22J +QTSAXETtAKY37NRKBtoCnSm36UXR0ru9UCgzbQyYlrZJKfVFW1+VJ+L/x//f +yMPOXt86a6+97mvtb+b37vr2kp6qqn7dqape7U83VfULASe0b6ir6of6uF77 +01o36fv0tqrG9P1urYX6va5jmmu0vyvcWa0PhN9VRCtcn87dL9xoV3cI/7Zo +39PvKwT/NHy+Vfn7ptDM7vj37wSf1z6utUJrmWiPak0IfyzwHsH/1V336Myw +7lonuvVd87xVa7Xg2yrLdkbr44IXBUYG5L2zxzJ3imWaL/hf0n9C8KnwXiL4 +OuH7i3lBf65jOZBhea/pdwu+oDuPdn33DtFPEV1Hsu3t+l7uPyw7vq975+ie +21rrdEHwx4rxg/p9Svt/tL4jeIrOnhW8VPA+8Zsv+MvaJ7Sf1xoX/r7GMq3A +V7Xhe4Wb1ZjmjHgvEbxW+MXar2x8x+Fifpd3zXNQ8l0peHNlv56MDFcJ16/1 +FeHGasuM7Kd7THMH8dHYx2PiOVB8Bvq3eoy/InzgP1bZptjj+so8TuWuvl6f +aaAvhjlLbBJPxEm/+A517WdsDjxX8L8bx8b5xn4hbrDPJPH5i2g2VLbbAp0/ +JfgRfX9Yaz3xL5pvYGfp11M7honlS2rft6/Yt+AHRP97wZcLnlM5TqcE/pLs +8rrga2vfuT33XqZ9Wuw8Pzog/4Rk3SYZ3tS+t+MceEL414vte5XwJ3XuHa2v +6tstwu+Ijyahr2gmaz8h3HGtmzvWY2XH8h0tjp9rRfNor31MrA50HL/wIRfX +JXdeEP3toh+S/Ptb++PrOjvca53RETkX9VjWZ0V3p3Cfbu2HNfHFM8IvII5a +5/JKdK9sO3J6HneJZov2WbXzbHFyDdpVocfe/B5ITCIn8baxtgzPaX8/uVrr +rlF4Cb+pdn5/t+OcJX+JJ/KQujAj9t8o3CrtD2p/kVjo+PujtXNjRPi1XetO +HVwbvn+onRPcRZyT44tTZ6Bdm/i4oXXsUl+/KHg6OaCzRXvdte3O6NsB0byt +u35b2883aB/C5smRjdpfiOx/box/pTifXktO4asnkj/4lHp9R+JzIjG6JfiF +yb+h8GcNx/7zct9AcE/1WvdR7SO9/j5afOfSYn6bc9fG0OB7YnA09Ick8ybB ++4v7wJrU4f2N4+6TreMTXQaj68bwgd+mwGsiM2ffaHzvG8UxNZ74PCL9DyXX +yL9Xkzs7RPug1m/oI6nVxCr5SU5RB3Z2DROXB0V7SGt15XMP5OwlxT4FpleR +5+QsdwE/k7PQD1W+51hqB7x3Jn8Pds13afjz+4Ho/mJ8Tc1HF/rCS/mGHagl +0HOWMwcjJ/WMukZMz24t/9+L/T+enDrbWK5HimN1OP5dHZvgd3rCZbHhr8IT +++wWbk/XNfSXwl0a3aeFHr6cmRbZftDrGnUqck4LzYL0MOoz9elIetznW8tO +XtIT0Z1vnxN+suDPtuY3EZ7YbXLumtXaJ88VyzI9d5HrJf3imzrXdo1rk4PA +1Ly/avVobe01PbnJXNDTdc1mBsJOe2S/51vjr45cUyIDtWFn6s71rfvVs8Xx +TZyvK7YfdpxI/Nwf320qrs2Pad+VONmSmOT3QGz+cPyLTw4EptfBE3tSh6hH +5Pfk4jP4aG+vYejPhIZ6tbw27zm1fQx/coJ55KFex97hxAHfX0sfJ0+nMucU +33+8sb7oDQ35PJaYWZb5bUWvezNycnZ5+hG+2ZoZ7Ghj2/9c35+vnU+fqv19 +W2oXO7+h4/7BzGM3NZabOauvOOaw7UuN7365sQ2wC3oyGwBjH3hMiQ+WR7dl +qaf0jg9iN2Dqz72Zu5i/sN+59NTHi/1Gf4Pf1PBkfuxPD1qWu6C/rradqKno +jE70VWoF/R6bzy2GqRvMUQOp/XMzb9GDLv7eXP1ftw3Jc/JgpDaPuaEfLLYt +Nkan/ui4NLX9XOPZjL5LbWfmB2ZOG2rcs5vWOVSSR38qrtGvZN7sz7wzlLkY +P9OH6DPUanrL8Ed6HDWP+kOfvzs9pSr2NX4/VFwHDzfur/PCZ6K4vr+TWQUc +dzATMBvwVvhbcQ6cbly39mbW2ttYjp3ajxT3yCOCTxfP+V9r3VeZY4kF8mvR +R2aVFamZj9ee/WbUrrvAxB62Jn/w48+K9RgX/12N9W5b67Iy+qB3FbqtgS/a +8ELsCK4T/NHg50ae85GprY17SnQ/Lq5dvOew/z3xwWfiv5naZ7Tus/Tqqnav +GNa5a2rL/2pq3tr4lNqIDB/Oj7XxvDNW9fhtSLyMtNZrkej6Ws8tzC+TauP5 +/mRjXgcaz30r0yvpET2p8+QyfZf6viPzMDlGXwcmztlPBo/cyP997T8p7pnM +pPQT+go17ckez3j7ohs6Xp25fVJqAjP1ifR0Zmt+X+z5x4MfrN1X1nOmuM6N +5f2L3KvT+/oi/3h8hHzMEegFLXUL2eh3+Azf/ai4f1BX7yueT7mLXKOX0FPu +IueKa/nC4jcevphSe/bZHjl3p2+Phw76bY19WMWP2zMrYc+B1IoP32yt8+UT +td/rvNNnx/Y7Yn/06Isuf2ycJ6sb5xX5tbtxnSCmL77RyRty/vb0XuQ7kjcu +/ZQcujl5xPueukANujFzMvPy8cxd+GUkcyN59M/ouCZ2m5HZnno/KfX/ltRC +cpPYIBa4eyg5Tp1/qFh3bEDtoIZ8QfA/8qYaaVx3qD83tpYVmZFnau27L63d +x+kT1GfeSeQz9ZE3BLGHHCPhOdq4jqA/b0rsjV3hObM2/8dqv3eXpfcxD07L +DEn+UwOxw1v5n4O0Zmc2adLvkIWzLxe/H3jzvZk36THt7zaeLd9rnA+zo9f/ +ALZhSUw= "]], PolygonBox[CompressedData[" -1:eJwllVlszVEQxs/tbXv/y9WK6EM9oAShtbRqeRG31haNWBNbiC3RUk+oJWg9 -SIgQQqJq3xKxvxWhEmupPSERUSKWRCjRVlD1G9/D5H7z/2Y758zMzZq/fHJZ -knOuFElGfgXOrYk4lxFzribu3A8PwWAHZAX4Dd8foydSnRsPX8q3nuAeSH/0 -bfC7iVMSdS47dO6279wTcGdi3gBfx6Ye2wxi1ILP8C0D+4vYnAVXEq8Irgk5 -SS2D0D+mOPce+Ui8amyOYnsM2Q92xGiFe4beSu6N+DTi2xGZi28lPvvg86j/ -B/w1fG5G9W0T3Cn0C+id4LvgO89X7SXoM/B/gs8dYpWhb4Avx6fVyWd1qDux -u9mOHIdvxn8r3BFsmnzltNxV5NuI/VLse3H+OmI+BC/yVWs/+Hz4hlC21dzX -a3AO55sMzsKnL/gg9mXoITHbky8dmzbwXyQNfJV8uU7f2qOPwGcIvvnkGA4e -F1et9dgUgQdi8wWuA5IHjhDzPNxOzpAE3hNTbXYHdhfpgXJP59s59ARnuEw9 -V+FnwI0kRgHcBWI0wn2j3i1R9USj3Qd8AvwdmyZwX2xyiTcVm0L4B8hzcDE2 -9YbhXxJ7Ct+WxhTTYlvPDaD+A756YTHx5oTqWetde6PP/FZQU3FEPXcO7k9M -vViH3MR3LXxpsmqsQP9GjEy4gHjfQ/WA9YLd0VdwAvsacBU2Oeh1+DyN6kx3 -ffWI9UoL31rQW0Kd1WI2g2fCXwEXYjMbfBibeUl600PgPYF6fzCymvht1Psi -qju5B5/tKXeDvWegnrfetxruwOeGestMztud8572NVvvyLcGbpWnXrCZTsAX -oU9LVo772JajD8U3Qc0FoWbaZtt61no3O65etB7pE9fM2OzYG9lbjQpV+31k -NPh3oNy4uMXUupUcu6LqyQL8+8U1C92RJZ562Hr5E/kHe+ox6zXbObZ72uDv -RTTzEXwzQ71VHvFXwK9E0lK0c26RaxryNkk9OhX809fbWE9sAo8hxyTy1VrN -4Fee7tZ2ju2ePsjeiN58GGf5RL4PKZoxm7UST7XbztkMXxtTLKtxNNwjT3dh -d2p3W+Sr123nLcO2W1xvtYwa1gcSw7ZDKn3dgd2FnaEBvDum3dKbbwNs3n2d -3Xaa7bZZgXrrHfZvsW8XaNZtZ6aBFyATk3VmO3tWXLFsx3QFLww0e2azKNDO -td1rZ87HfqyvWbQ7GQNODbWrLpEvBt7ia3fYG9tb3/bE2YzbrFtNVpu9kb3V -NXKuT9EMriPfnEC7xGakANsJcf3X2H/CiUA9+b83kRHgf1+v6HQ= +1:eJwllVuIV1UUxvecM2fvM+lM5ox5Qc0pdaxMUae3ECMQIgzsTdAJeknLC0EG +RShaXh+0sUZH0RxFZyZvyahFkzpecxz8K4FRmOCtlxp9FaGXfl/fw+J8a39r +rX32Xpfd+N6Kd5ZnIYRPkWpkdwxhZVUIdUhvEcLPZQi3IF5DnwI3G/1GHsID +9Gb0k+hn4Sv4bsN+IIVwHH4R+ifoS5GvsH2TTb4F92L/B/avstaIfy321+EW +49MKHsvaFTj9VBf4FGvb4e4jg/ivj47VgM0Q8PuszWSvVmLuJ3Yn+tvwu5Bb +ioX+pzAykliXkE5idSHn4YZh00Gsw+iX0M8hY9Dbkb1wP+q8xJ7DHiX6Mfib +xNqG/XFi/YIcAh9BLsNNw3449g3IaOz3wq+C60Uq8IfRt4C3yif5n/Rvt5F+ ++O7os4/BfxK4h3g/6WzsvwF+JGt9/Nsw1l6BG9T95c7Jbfj7OiO4Dft74H3I +WvQvkP3gM8ge8CT40+CdxGthv3us/YN/B2trwH3Ir+hD0CuZczQU/AN7Vqp9 +5wHfrdhcAw7CN8FfSb6L+ax9BJewX567pp4oPvJW5jt/Gv87hX21h/ZKyID+ +R3vC1WPzOHMOR8HNQp5ktpHt19icBy9ADoHbovF84s9VfWLTlruGTsI38j+R +/y+RZ+C/gV+W+x/bwHXRuc/gv8O2RT2Q+Y7add7o2n8d2QK+gU8Pvi2c9zq4 +lrVxcEuw3wc+gP86uM+xmUy8N7CpAfMJ78LVYFNf5RpTrakmVZvqmaHRNaZa +k8/RwjlULtUj4+CfRVbnvpNmuKro3lWOlKsHrB1jr43Y/JV8J7ob9ax6d1b0 +WU6jn0AfnVyLC/FZyX7PwffDX8Z/BvwF1WjuHlIvzZRPtfeYqLOXzr1sxoOb +dIbgGaJZMjl6lqimVdsriDcPvgO9G/0I0g2egU0Dtp/Bfxm8Ju6Dwr24Hf1A +6RmgWdCOfrB0D6uX1ZPqzRdZq612D6oXe5ARwTk/AT6LNAf3RB/4FP47cteM +aqcs3StaqwFPiO5FzTDNsudL51419ULpmlJtqcY3KP/I0sw9u5rYm5Az2FfU +b8S/iHyc+w4ugLuScyWbbmynlJ4dqqEmzc7kWtKd/J48AzQL1LPqXc1AzULV +VBZ9R7orzbSn0I8mzx71rHp3auleb0V/GdwRXbut6snoHCgXOsPB6BpRrSin +m1Ufyb1ax9qI6BwoF7rTDwuviVMOXoLrVz3mfiMG4DujZ1U9/HT4UdFYM1Sz +VDNJs+ku8m/yG6C3QDO4Xu9F6V7VHe5C/61wrWoG3kV/mPw2aUY+So6hWKqB +v/U2FM6FZrJm86rCd3ER/U7yDNYsVo3/X+vRs11vzMbomlXtqufV+zcL+2rm +avZeS34LNSMqyT2l3voe/Sr61cJYd6K72RT9NqrnNoP/AwV3AI0= "]]}]}, { EdgeForm[], - GrayLevel[0.713], + RGBColor[0.6050727499999999, 0.6224715, 0.6192121249999999], GraphicsGroupBox[{ PolygonBox[CompressedData[" -1:eJxFVltsVUUUnXvvufecmXNiwZiqH8ZHagOCtFH6uDyEUltsWppIaBQETUwM -UZBiYgv9UmnEKG0ixkDVRFCgL5qU8ANNwIBR+ECefpiYEK3+aPRD+EBiqnGt -rm38mOw9c2b27L322nvOgy92r92Wd85dxyhgXMOkA2NzzrmvvHNXsHgechNk -a+Tc3VifjJ27hL0VwbkxzCswajHfhj0P4+w6zOeVnGssOrcTZw5gHMG3bqzf -wvcPMW/P665nirqv3/YOYN8vqXNHsbcucW4KcjXWn4D99UE+rMT6s9BboK+A -vhZn+rDvLuzpKcg2/T8GvRJ7YNrdCzlp+/5EPIex9gZsDJZkpzInfQDjScyb -4EMd7OyE/WnIpVgbx54G6Bshj+N8d6SYGS/v5N1nsD4eFOMY5DsYPdBfgZ0R -6B9A3wW9JnOuCme2JMKE53mWGBCLI9B/xLcJ2K43H3g/8b8Wy/99kO2ZcjEN -fbgk/PntsUz4v5rI54vmN79fsBwR+ywS/nsj+Ubc2iJhzrvmBOXuADCbgeyN -ZKM/UrzcfyOvWGg/KQq/5fCh1Ss3qyEPGg/IAd6Xmb4Icj9klLN7InHxkNf3 -zyHvDNo/F/J3xPkz9KlMudpTEkf/i4H+ECfylf6fwno5Ek+fxtr3ed130uRD -TvwdMn1jUOwbINuCzj4VdI4cIn9eh6zOiwPDBflNn1vAmVWMH/L+ID6Ow//h -IN86MsXE/cxZXFReyXHiyrwQW/o8ZjW1Hnt/sDnxpn3yhFhXmQ+bi/KDPnwB -fE5j/Vf4ULaaIpd2QN7My29yoRnfGiFXGc/Jd9YDuUN+3ROpdmYw/y2W7E2F -67j5xtw+Gil3y4P0RxLhOWF7GrA+H+v1kB9hvA19CHIJxgLo5aBczDcePF/Q -HTx7Ryo7FZDrvL51eeHBs8zZdqsX9o0dqWp8zAtH1ibj2RIr9y1Yfy0Wpp1e -ODQabzuCarw9yOYuq0Hyi/lh/1mSqqZYW8SSsbC2VuBMDfQFiH0U+0dKwn2/ -8Zu8oqwxvTbSnLid87LdG+ss7XflVAdtJeX0m4K4MsuTWPt/SlRn5D5rbVkk -3jA3xGO75Z1YDVmPZt2wJ7IfMp/UyVHyZcL2LEzk30rE9HgsHGhrKeYLIZdB -nsn07SzkC4n64JtB/Yexd1mfGTaduaHOXDAGYlppNcfcE5M1QTF0BtUY/Zut -H6th8qHOckX+V5VUh+R/v9cdtyGb4VOZPdz636jlojZTn/ojEZ70gz7M2Js1 -62eiPnUiKL8NVl+7I/VocmUyEx5vBflzw3wqgxsNuO/TWBgwXvp00Ks2P/Oq -72rrvewxU9bP+3D2fdZqKt8v2t1HLSfE53Kiet8KuTUWNt8lwoqcJ16LU3H+ -Ja911mdkead95ps+0M9qi+eWvTusGdoZ9fp202InXoyxOVWcjbb/KmvI+jzx -HbF42Sf7rJ+f9cL6S6+3nPFch1xsOt95xsBY2C/r7b1j3bN2aCvK/f+vwN7e -VJLONd45ahybtn8S/pt8HJSzT4LqhPXynP2rsB6IKbFn7yX+rKGrVkcPJOp9 -92H/117rM7D5blAPfS/o7SGmf7EWvHh0O1Z9nLR6438D+XElUc6YO7757Knf -FlWDe+3tpd9/2/v6D+Rur5j2BPXwecbh1lR9+1CsHJH/5FJTojd7U1BtDVh9 -UQ6aznv49vAu/u8M2n8Ox4C9oczJacOHc9oidmsy4d4J+XKi2luU6f4e86Ev -0T/BPvgwJ5UdvkWV1nPIz38By4lBWw== +1:eJxNVltsVVUQPefcex4aMWlj6W0i3AK2QAsFArZJobeRJmoLPsAPNRFIjAE1 +0frhp35AfCCEmkgpIhpFKlH/LEYT/OBWjAYTCQnwoZEEm/igtJQiVNAUXatr +NfJxsufMnj179pq1Z/acJ7vXPx8FQVAMgyCH8VwaBM2Qz8RBcAXfXOj2YZyR +BMFe6D/OgqA1HwQnYTyO/wXQn8b4FfRPwdFWyPOwZhJrlmLcj3EObI5DfwQ2 +8+D/I+i3Q/8pvp8h78bYgG8hvj9hdxn+x/GtxR7fwWcBujbYrQ+15wnIv0L/ +G75+yHNT/d+FsSqV7TPw1RJKT5sVmex/hP4v+L2G7zbMT2JuE8Y7MEaIcxvk +D2HbBD8wDSowtsL2IuIp4f+BnOJjbNSXIVdgzaOQr0I+GmicwNcF/YxQPpdB +34dx0H4o02eNxzHLPOMI4jxLDCPJPC/3IyafQV5kfDpCjZct34r4ezD2I/6V +OflkjJN5xcl9Y8xv8HkrMuFwI1ZcjKlgjDuN82hOa2i/DPbVsCtin3ro63I6 ++8y89ORNCV9VXphTT/kg5BqsGcRcE3wUsK7a+J+Ldc4x4DwM3QXvt9qYEs/H +cpLLkB/P6Z8yMaZMnOtj7ccYthp38nAz/O6EnGL/Wuee++7CV+m8fA2bfuiP +pdJN5KQ/jP9eyAMYT5GDofCnbWi8XkvF2d3w/0qq+F7F+BK+ByG/jHFWLBwZ +TxJKJp6XyKucdDwfz1y2f/qucT7WBuI0Y2dsvFdcN2af5G+v/eQzYXjVe160 +zfVUef/dub5hPhA/4sj9l2Dtc8jFIZzl+1Ay7xC5dMD8/CFRPB9gDDH/YiTO +Ep/uSBixRrBWdGOvTzKtvR327+N7GjZl303yoS8Q/3lexrM5Um6IP+P9JhJW +vEOco56Y7DUuQxhfiIQduUWfBezzUyLfh7DXe4k4sAUYFGBzBfZLIK/BuR6J +xLFSqju3IGWSxKEvMsVyf2Re5HW3iRXn74vEM9a/dZG4sQNrH4L8RqLaRmzO ++r53uZY1mPO8Xxvx3xGpDjEnjI04sF7SD+9OliiOLzPhPe46QT6Q0+TEvc7H +HoznY/n9x3xmTWiHn3yqejozVY2g/tlYdfFMqDu7K5G8MBF/yN3p+3ja/Cdm +xJ248dynrK+LxRv64V2ejf/z9jHbfqb/yclO10zeX5570pykTCwYK+sW9Ttd +l8mDLbH6DeOZn2iea2jDdYNey/vBnsS9yEtiSjyJf6NzwBjYd5gLruHagnsV +7WtdU8lbYkg+HjMnWcOK8f99hHr2DNYG5rrPOWPubklUJ7hXl2sM15LPje5/ +nCd+xJF1jPO19v92MkXLYGOsmkob4rzQa0+43tbfNF9vP6zTleYA/bc4R8Rk +NmwHyNNM+7OeMSedrr1vxeLV55lq/nzXH/KBfajsGrLSeWQvYo9kPyJX+VYY +91mqXVe3uxewJ/AObXO9Jjc48s2xLpPPVYl0XEt9O/SN0N+dqPctck/ckCq2 +JzAW8zoXe9EE9h1hT8G6d1LVsDshN+OrhU0j/FyLVYtT6JZn4n9Dorpy2tw/ +5jvKvF/PCQv2vjAVJ/7GuNjxdPj+0A/9DdnHUeer0z2LmBJb3t0K56nd9Txx +zyWP9roPHInF53ddR1fZvifRnXwz0b2fVAmbiqfJOSr7LVDy+2Gx9Ussd7jO +t9ona16PeyT3WWk93xSUieM9mfw3J7KrMzfqjM9S3/Euc6khL7nTveK4eyr/ +aUcOHzZeyxPVjFmuIVXO50G/wRodM99F9EEOtzonjPOA36t8t27xG4BvgcpU +uQxS3a2i6+eE7whjZt0kjsOxzntxGjvfF8bQ5vvMe7MjVsyMnVw/6TOOppJH +MA5kqpP17Aux5i9AP863BWwupeJpwe8T7tPm87a4T/LdPOJ+S6y+zek+846H +1rPnkHcl33H2lk3mxOuxYmAszMMa54Vc4Txr14pEeSpl4slq1/apvPlc63iP +ID/sdzfjY2wtifi0OtPbh3liXnimGt/fRbCZA5uWTG8R9vj9iWoxcRhxzWe+ +Km6qC6zh7Mfsu6G5Mey3It8pg65rf9gn3zvVrifLXKsLjoHYFl33/o11nysz ++TtvG87X2mbY/XSfYy+ai3xbjfrdxVpb59rbZl4St19S5WkI455Utr2psFlr +fP4DoPeUmw== "]], PolygonBox[CompressedData[" -1:eJwllEls1VUUxu/DV9//f99LqITRCKIhhlFLRMujTKUDVmgToIRBppA0DWM1 -YZCdQigoXSgxgJIwyCAUEggLYAFJSxgCyKSxYbQOK6MbXCgx1fj78i1Ocs79 -znjP8Mryltlre4UQVkJZqCsJ4SEPs54LYVUuhH7IfyJvBPwkhnApDeFbsP6Z -EDrgd4DXPR/CfvCz4P9Av8KX4KsJ+3nI1cgJDwPyIUxGfh25DBqN7WnpgH1H -jF/gu6Cb8BvAt6P7jBhtxDuMv7/hOwshvInO++Cn4Ofwthh8CdQI/yI+/8K+ -Ffwr7BdC0+HroEqwB9jeAi+Sc1XBMRW7Erm+4BpUywGoDf0foZ/Bc+S4Dt25 -qWOVkU832Efot6DbyH+UIj+CutFfgM4H6C+Ojj0A/AbYfuyPgB2FDsBf4e08 -+qPRqYj2Kd8n0f8JvhpqALuH/hX0x5LjcHItkk8F/zkFvCbrP9Zfj4f2YDsK -eYL+HpvdyCOQy5HfjuYVU7GL0brKWbmPhMYgzyZeLbbPcu61YsyPrkG11CIv -iK5Zta9H3qbekt8w8jtDDT9g+x5vk4N7sAi+J+da7kKX8f8y9t9TS3/wl8Cn -Jvatnqq3u3krJ7etvH0JfxU8m3GOk5BnQBVZ90i9ege5iHwB+TpyOz76Ev80 -/k7AHwf/IusZ0awMgprxt5O3b8BqUs++/kx/t4E/7sH+FG8b4Y+l5gehPwT9 -Y8qhl322w+/KeVbXojMO/SroKfhb0DT4u4n5DnTuo/suNu0Z1zATvl45ZlxD -nXqD/htZ74x25zHyq8FvU5A3J879c+ho9M5od3qI/y++pqfupf5gNfH2RP+l -dlq7vTJx79ZBrWAfR++Wdm5L6hpVq26CbsNg5IFZ/8nv+HvC24mMc1JuK7B5 -Dd1yelqk3qnRu66eqXeKoViakRWJZ0SzMgybO8ifRt8a+ZAv7Zx2TzenE3lm -wbXexmYG/MHUu9SMzhLi9c57dy5iX5p3z9X7z8A35T1jmjXVMDTxjGhWJiLX -g+3LOXfdIN2iVYlzUw/LiPdb3r5V8ziwvdG3Zjxva4j1Yd6xdAP/wH5i9G5r -J7Wbh3irKvEN0i1qSj0ruiFL8Xct9W5oZ67Cn4u+RS3YH0JuKPhWaeY0e1+n -xgro9EF+IZrXTdVtrS741mmHtEuaOc3eNPAact3B21zlhjwBeU1iXjdGt+a/ -1LMkndbUNapW1VCL/jL0N5f4JnegX5237/XYrFa+qW+hZlqzvYt4W7LeOe1e -Q/Tfawe0C7KRrXQ2gfeO7rVuZin8/3qlzrA= +1:eJwllElsTlEUx+/7vu/d9xERbaIqRAfS0qIVWokOhi5QQ5UNoSQiiKSthY1p +YQpqDIqqpsSQtMSiVoaFWVhJykJCgoSgpUQpEsPvn7P45/3PeO8795yTtbJ+ +YV3MObcKJMD20LnHgXMP4s69jpzL9M49Qq7HqQ2eB54hv0OelHTuKPI35Epw +BH4ILMI2h/hNxK8h33ZsM9Gdhq8DB5FnIbfAL4LjnHsb3R5iz4C5yCeQz8Jz +wVP4evzb4b/JeQ9eg+49sfvRlQd2pwPwW+jWxuyM/sjN3nxDcBVburezavEp +4P615CvhrqWgDp4CcHN3safCt4L52DrQXSLWE/MZ+Qv4iWMa9of4lmEfDL+P +PT+0mpThfxqswt6Dfx/6ichvAqvRQfhk/LMS9g/6l/rQ/r0Seyu8BqxArkA+ +Dt/MGfPidqct8B7wJ2Zn6uxicown3zgwLWlvprfrJMfu0HIo13LkD/Aoaf/i +kRsje0O9ZQnx1dhKvfHF+OyIrEaqlWrcim0BPlOwb0C+on+LrHeKyfEK3gVm +w5+g+6Ta4t8NH4DuWmg9ol6pBBvhcewf4dnUsxf7MOSA/OfR3cHeAY7FrSaq +TXdkuXUH3aUQpMHPET+C+xRg743ZGyXgo8FLbN3IY+DPQ+vltyAbeTjxQ9V7 +5GiDD/TG1SPqlcvqMWc1no79MHIF/vnIU5GLvHG9kd5qARgKTwdVuntktdY/ +XIU/C61WQ4iZoN4hPhOeAYqQ70b277rTKfgykIucA5bCm4kvdKarQd4FlsTt +jrqrela9q5zF5MvwdpZqpFqlgl/4p5D/BrkGIffFLeef0GqkWnWi+woPiN8W +WE9fV/8g7wusxulJy6Fc0rV46xn1ju60E16OT17CeuIFvv3wOQBfTfxN7QNv +s6kdpF2kmdfsa2YakGcQX5Cwmqv22inaLbqT8/bmevsqdA3wvd64dliW7gqq +Y7ZTRns7U2drR8W89bB6OQBHQptBzaJ6UL3Y5G12+LiT3t5Ub6ue/hHajGvW +tSO0K/4i/4xbTVXbUZH12gXiR0Y2A5oF+aRoFiOrtWb6VWgzodlQzSZ5e3O9 +vd7snxZVZLtKOzGAf0fXFbcZ0ixpB2gXqGaTvfWUeks7Z6y3HaxdrDdIIjeF +Nnvq2erIdqZ2p3ImiG30VpsX+LRjy/G2W1RT1fY/qGy/0g== "]]}]}, { EdgeForm[], - GrayLevel[0.775], + RGBColor[ + 0.7120440499999998, 0.7199036999999998, 0.7047170749999998], GraphicsGroupBox[{ PolygonBox[CompressedData[" -1:eJxNlUtoXVUUhnfPPfeee/ZJBVNLtfjqSHRgcWLMreCgSZqm3lDrwEwUdOSD -apXa1rnkRlvoQNr6wIK22iQlIihGq4IVHWihgoViic3AoYITBxWq4v/5L6iD -w9p77b3X+te/HmfTE8/terZIKS3pa+lb1ebompSu0zdWp7RTynHJfrbuu67W -2s9IPy05107ppTKlj/V2WHdOSf+u9L3G+oPSzZW+x5057T+SvFil9IrWj8rm -etnsye/LpfdvSv+k5Ebpp6V/rfR+sm1b2DmuO49Jt11+rmr/gfyukyx0PtA3 -Wtg/fg/r7HQnpcWO3+8Wvn3SvQVe2ehJtzn5/iBwPqU7L+jOq9zReknr9yUP -CdPjsv2J9Hsrv1uV7iudfa87X4ftfmHM24aMe4dwfqj7P+j+9dm2wUi8+3V2 -WHf2SU41xvh2Nq5TkYsNpWOUSJ/pbI9078nXBdmYaZunZypzcFF4ZmvH/Y/k -Ftm8Q+f3CMsGrc/o7SOy8Y3Or4aPqfA3LXmfvru0vj/y+Y7Wq7J7XjYm2s7V -p9n6M5I36hvWeqPkinxv0t3RbF7gZ0fwTG0Ry4A86Fur9Uh2jY1FLRE7uOdb -9o1f9guda3WDPF6ZP/TUwSXtz0p/IvTng1tqmVrF7/OVsYER/rBPPuCR/UnJ -/WuMpyX5sPgak/1dQ84necUHvBEP+PFFLsFEXcwH5v6Qbf8in1cK28FGK7tG -y2zsi4H/t8o5viX7DW+pl5HSfFFb9AkxvR7cT3Xs64vamL6sjWs2uOUN681R -E9TGrXp7BL4Kx8j5IO7vFOatWj8k+XftmOhX8k0MxD4cdUjPwe1yYU6/7dre -vdkzAr4ns+M7HTGSW/bkc1w+elpPSJ6ozdtyNv9LYR++LhTXZgFyIZsn+gUc -k41r8qS42pbN13j4XQhfYCRmcBI3PsD6e+k9Z8SNr37E2o94n658r924x6gT -cvNiY5zMhktarwjDT41r/HLb3PxaOY69jTFwB1/UZi/q8+fG91caY1lfGt9N -2W+xwZ41+WM+3dlxPzMXwQQeZh52R8MG2Hh3s+wckLxN/L2RPWOPSV4Gq2yt -wl/j2mYuHqqdK+Yr58vxP+jFTGA2LGb7no/exQ/YzrU8W+5O5h4s1NBo4x5h -pjKr1gbuAzHXmGnENIh/Cf16NPJFTqajBsDe+18d/tj2W3AdiZwy4+Bmd9f1 -MRz2qXN6g144W1syv4v4VxDz1iHbZpbc3jU++Pujcn9MRN8xN6gDao0eI17k -uVjPZK//rNxvcDMvnw/GjGXWMnepFTDNRQ+OBC/wsyfm5Gz0/l+lz7G/JTtW -eo45DucPaP15bZzgpbeuRJ3BDRzBJ/8t5tTBrvP3Xw0p7u3ZvPNvPxZ1Mib9 -Ddl41kn+C7iPAoQ= +1:eJxFVktvVVUUPueeu8/esQOhgDa5NRHbga+ARQEHSAV7C0lVXsVHe6vxNYCB +RmGGBhM0OqgJAhoN8ReIMbEONIw0cVzSAF5UiDFtfSRG7aXQYqV+n9/XONhZ +66679np+a+2z+tmXdr9YybLsJ5wCZzaC5ln2WciyGdABnHHIe6tZthnnYfx+ +IomeKLNsBJeuQv4VdLrA/wp+LfhJ3G8HfQ90CrqDFelswv8N6A3jfID/boXs ++aB7v+HcAN27Yfc86Hr4eRXxTII/BLoO//fg1PH7Y+i8DJuvQb4ftq5Bvg90 +vip+MJc92mVc/dB9HbK2XHlcdS6d8F1jjNCpQ+cgZFWcGfATOA3wL4CuK5RX +E/y94Ech/xl8Hfy3uXz04CwDX0D+O84e8CtdE+ZFH/TPnM+BP1uoRgOO6Qz4 +xyqqO2teKWSH9npz+fk8U4zPQbYa/CjqsBv8RtSqLBQ75RfAN3H+Bn9b1P0L +Qf4ZB3UY26pC8VwEfQZ2VoB/ADYn8Psb2NxR6C79EhPExiLsVZP0xyBbnhTP +l+Az8NO4c506UfVYG4UV1ntPUq69zvd0UH3bIX+/VN8aSbZoM4DfCXuXq4ql +DjpUSI++GcNJ3GtVpUNsECMt87xDfgy+Hk/yuzcpN+b4B2L7K6rOd0ThYrPx +zN4vgOJn1gFfNwf17GgpPG+Fje5COGP/t0O+DfzTSXjpMWbYE95jbX8MwsWf +UbEfyCXfWGpOHsTdviSsbwc9bMyyX8T1vHF+Cvqv4P6bUfigzUvQOVYKQ8dB +ZzxfnDPa4QzQ1qooHN8UhZ1O12fI9aWdHVE42wlag+yWqnDA//utw1zrnrWa ++0M7j0bh6pGo3A86/m1JPXm3lG7NNum/5hj2ukdPkibVmfVm3Jxf1pP9ZX2+ +zlQ/zi39sJ/cL9wt3Bl9ufpI/NxjPOyK0v8QNXkK8rmqdtjS7uDcbYVOxO8t +xsOcd8VZz9fSXiNtBOGG+Lk9qobzrslDSX7vLzUTU561PmOU8be808aMN+4c +Yo47kn0c917lHK0BPxxVhwZoe5T+ctBj3oPHo+bmsGvOPnDOuX+6onZWN+hI +FB5OBvWJepWknJn7FdBdSTEQU8T/Oe8Txs/9zJiLpB7MBsXFWWaPWCvOC7HN +OrPGzJf+ucfYd87HonM74L1Lff4edb5N26Hfy0F69NmRdDcitreifLwdtQPY +b/aalDjj7pr33hg3zofN03aH7RNrk8bM94V26H9+o3KfiZJ9V2gncPbZmzV+ +FxgzY3/HO3nU7xj5Me/8Du+QCcfAuSVtOB7WlrViDD94hxMP1GPcnLs8SpaB +LrruxMWc3zXe/7T0e4I6nXJ+LWOEWD/jd2ef/R4N6s8npXDKN5H42ZD0zvK9 +pazTb0BpncI2aIs2uQu7jbcTQTLGwrrSDvNjnOwXZ4pYoy3aeSPq7TsStdum +/P3BvbffO5+2Z23/xiR+AX62JN3hXqQN8rzL/ja9e5kbc6wnYa+r+H+f9BnP +9yXtujtLxRX9RvNbhL28qxTGWt53eVIsXwTld957p987nLucNZt2jof8PbMe +dpZ5v18PenMGjL0jrsOmUtgYMk74NrAmG0rpTlm/aawSkyNJteI+IH4uOvfB +pJpzVv7xe0D/lwrpLfh7oM07lhhiHqzXdNA8zOHuR6Vm/LRz6vS305WgPc93 +o83fPdx1xEjp7w1+B61c+o6y3xV+H0vXecH/MZdfguK7Bpv/AjEpPgw= "]], PolygonBox[CompressedData[" -1:eJwlk0tszFEUxk9n/mP870wlWuIVoithI7HQdEgsOq+WoWozGxJWDdGWUOyF -otKFEG+hDR1CIhalSFS6IiEhEp1qN5YSW5Iifl/O4ibfd8/zfufclgN93b0J -M8tzIk4tNnuSNBtOmZ3ImN0IZgPwngaz6+DdWbP2BWYVgnaBz3N3FPte7OfA -T9NmVWI/Y/8OHiVfP7ZGki/Bfpu7Z+YxbeQfgU+a1yjC/+E/nHSfv+CdnCq8 -BX4E31rwXi6R7yF4nDOGfT/1hhaa3YSfxZbgJMFlzqIGz9EBnqHGLP3N4V/H -vzl4b+pZvV/krpP33eXuObZVnKXgafy/YFsNXwY/Sc618DH6azbXTNptxp7E -1gVvBR/GZx2x68m5Cb36qTFP/BT2V/gPZFxr5fyBLQX/Cb5MjghcVH/gQeLv -EH8LPoi9TEwJvhW+IfKaW8AdxOwDP8K/hv0tNd5RayM9ToIL+LTi/4fTiO9K -eBN4HvsKvZd+f9FvjvgC8RPBtdAMX4Bfx967enoJrtPzh4RrLu01c81eO9KV -9Tfr7aew56g3p0PvV4ivg6Pgs1LPQ5o3PBf5zCrBNZf20uQguYtZ7y3HXSnj -M9Qspam03R78rcqxA5zH/3TkO9YO3ob/BLnf84Zq8B3WLufJuQe8mLuP+D7A -3gQ+lnFtHsOPg7uz7iuNpJVmotlI0xL+a7j7lHJNlwefgWahmXUS3xZ8lzWz -XPAZa9YzxEyD78deSzun3ZNG0ko7+w08Rf7xhGs4C78QXFv9mTPE3ou9d/2J -EemZ9b+iN1XAv9P+du3Em9g1lJZF8pXBV4P/ZWl2Dfw1472ppmqPpt1XM9fs -C7Hvuv7AIfh/JFGKlw== +1:eJwllMlrFFEQxl93T/d7eNEMRAQVXHJwI8ZEEw/RwWhmchDJMqiRScQtogfF +5eh2UAmIoEQECf4HHj3knL9AAopxw0MSvYg6ZmLcMv6K71DwVX1V9apr6fUn +L/ZfiJ1zB5Ac8ts79yFx7i84Aj9JnevG4Urk3Dx4BNsO+FbkLPhhBg/XQvD+ +4NxKbK/xX4EtB76LVPDthO+H34z/GsP43AcfxvaCtwrYjoDHeaMId5P4f+Ax +4s8n8nmEXkHyYI+tC64BmcK/ijSDp+ELxK4l307yLWGbw3cdMVW4Y+hN6M3o +I+gdQbW8ImYb9VTgb0WqYQi8O9O39RJzA72EXkTvRoaJPUeOtkTf3OitMPXO +asqDj+NTwrdMzsfE/sD2B/4lMfPgGL4RvAw+Am/NVMsl4tuD3rC3LEcP3Jj1 +LFZPrbe70GfwL2Mr4PsL27tEM/xMbe3ws/CX4ffBb8nUm9VIG/pEqrdr+C9H +rwTVaj0fAtdSzf4E8Tn0JvJ/itXjDeBR249Eto3oKT6nwFfhF+AWsb1N9M3P +0Mcz5XpvMeizyBvwNPIT3+te327fdA1cR5JIM3TkHkUfBk+iPiD2jte3VfG5 +7ZXTclsPrBdLqXbJamqwXgbFtvL9RfAAcjBSznLQjtquTqHvodY8+plYO1En +V09QrO18CXw61W7ZDA953YTdhsU8JX671y3Usa3CfzBo1+3No+CuoNnZjDrw +95l87cbs1mznbPee88a9VD2yXllP51LN0GZpN2W39dWr9gHyfYRf8LoV62EN +XPXaPbuhGfhN6F94P8a2F9yZqZe2Y33k/uaVy3y+226n2hW7IbulXq9Z2z+i +D/wfK2uFFA== "]]}]}, { EdgeForm[], - GrayLevel[0.837], + RGBColor[ + 0.7987852499999999, 0.8026662999999999, 0.7775599249999999], GraphicsGroupBox[{ PolygonBox[CompressedData[" -1:eJwtlctLVVEUxrfe61XPPoGlPYUeo/4ACwIbSddbTUx7QlFhE3XQi+oPUCeS -NqpZEZRE1jVwlqmTjJ5CGQR1s4zuKNBGXQpHfT/XGhz2Pmuv/a21vvWtc3Z0 -X+g6Xx1CuK4no2csDaFQE8KBGMJ8XQh9VSEUkxDKtSF80PmE1pKe59qPan2q -s24BjMj3hZ5q+X/W3YPRcMAryb5d/l9l+6j9JfmclP2a1sasxR0Xzi3tH2vN -694+Pb06Pya/fC6EI1oXZFvMWoxPwlmne83y/6U8VrR/I/zf2lfpfJfsU/XK -U+AzWgt636O7d4WzV3jDwhrSe3OdxemS/bCeNp11aJ2U/z2dP9M6LtuTnHFB -LuTGnpjFjOWxM2uxtmm/IbEz8uK8wWvcH622gtbpeuPkonw2y79JPlsSw5h1 -nPuyjWWMr5e6M6e7r7VmEuP/tnP/SD6Let+UGKdbVdP7aHHXy3ZK9fTq7plo -scmhXba3jgk2MR9WWVz88D+rtSmxHEbrrTf0qFP2QfEwkLO6O5y3Tq1Tqmet -MM5pXYjWs5Ljwz8xsnpf1r4mWv/g74HwWxLDy8g+4v2Z1dlf2X9oPxetf+C0 -y1ZRzD96euQ7lRhfM4nVTO0bPXfs8DOdGJdokH7SV+pZylq/yAN9EYsafubs -nT08Lfl+WLneFG42MV2iiRNad3v+Ld5PtE0/0BE9olf9jknv/3ld1Ecd5MqM -cQ/dZLzH9JqZy6emVTQLBtyCgw1NzgfLkVypp5yzGrC9izYXzMeraHXQqzXR -epJPbCaYjdZqw+cus9bjswh+QTm0yn4nMe0Sn/n+Fs2Xb0BfrXHJjJIXeqOG -q/K5of2VaNhlx6eP6I3eoCk4Yg64W/S5g2/24MAZ+VHP5dTyOppaneBSG/fB -Ib8G53PFuSUH3sHAB5wvrkm0Sa/GfKbIq+IaQyvoEk2yRz/kxRn6hyPu0Utq -gUu+gfC5ykPOcuW84j79PkfkgHYGvHYw8UMPIx6bWMuuV/g9nZq20T5cLvu3 -8VBq9/hmt3nuvIM96LGYrWGvZcjrAn81X9dAyef3ezTux70XcNLjeiNm2TVW -9G8jPSq4lsCe8H9Ho39Li87bZK1h0MPjqWHzz/kPJ87jnw== +1:eJwtVDtPFFEYvTvM3LmJhdrYGlsflRY2REQE1Gih7rIMi7shxsZEeYR2ax+N +RiOJ/4BoYkvvL6DRAonxxVoa3AV8RDwn5xSTe+ab+33nfK85Nnf/+r0shLCE +ZwhPtwxhqxbC2RjC40KYtjvAXeAKeBt4HvgfcBPOu8BX8VyCT8T7OdjP5yFM +AQ9gPwNcB+4Bj+E8AqIFxgIew7cc5yh8EuwtxJ5EnAK2WymEa6Xu34b9CuwJ +9lOwLTkeeb/g2xTOE6W4qeEy7o7irGD/jbxawE3jWeDpmvLNavI9HPStafuO +Y78FXnYedTztTPcz57Jg/B1Oc37fhYYZnN8Kxawcv5OpbsSzSbm3knI5nSuf +8SR8EedNPMPAN5I4GPsofGtJfFmSjby0PwffXdifgb9fU1zmQH5yk7fhGhCz +TsxpHXgAn/fw3cG56DzJyb5tuQ6M1TPeyMVB215U3N2oHrA+nwv1ddkc1Ni1 +fs7FsP2/FurFNv2QzwjsDZxV0lw9LBWDdvYgd7yPQXzk/VQov96Q6rvonpDr +YBL3Gu6EpDv7nJOo+OThTFPbX9x5gqeNOw9gexE1o+2k2nQ8T6uF5v5HVK7J +taWuMpM29oG6qfd4qTuc3xHgA8BvcH7IhdftO3AvOHtN944aWWti7gP3YgJx +JpL2ajJpnt8NqY4zmTTU7UcOxuz7fd0zwH3gHGz6DnmYN2eGd5tJOzyN80LS +HDyN0huted47wFpz3qmDu7MfpeNVoV73nVflerA+5Nx0/tQ9aj0nS83eS8RY +idL5KyoWY3aSvvHOWlScDetn/aasbdpzTj2vC2nbcx8a3sF+qbr9LNUPajlU +Sgv/Rez1H2tY8b9txrXdKpQzd73nPeFesD+Vc3zk/+Oq/5eZef8Dgiem6Q== + "]], PolygonBox[CompressedData[" -1:eJwtkrkvhFEUxe/4Zkbme19hmdgaVBoliUQnGWtjiSWxRKhmCiLBX6CRiIqS -grFNhkJlbShsE0tHrLVEpRGV381VvOTce86799z7XvXYZPdEnojUcsIcz4nU -ACrByXyRwUBkKgSOiAyB0zGRHU8kw9kAT6NfhCvmzif6ZjQJ4iR3EuAu+GW4 -c+rtw3eRa4qK3BN3gjOcvahpdn2ROk6Iu3PkVuFGnfV+QH/I/Qr4ONpZNGXg -LTxkPfMw48yDelFNOXyxb73UcxzcgaaRgRup30L9W2IoKUB/B17x/znqtROP -U68Q/gP+B+6UfmdcqCJ3EjOP6lV3Vg8/TPwOt048Au4NzHsCTR84Qs0vuCJy -KWo/EueFLPcEHghMmyLXD3521usFPy/gnDMvuqMbcNY3re5Qd5kg3iZuQNMC -bnM2yzzxKnGpb7P+UrNE5/HNq77xCTiNpzOxN2zl7hG5NfgxdnYAvnJ2Nwd/ -Db50hnVHF856aK8ldrTAft6cedcZX8GbMZtd30zfrjuwv6J/oiewP6V/S3se -UusbP+ee7fwYrtm32TSnXNi3XurZA/8BaEBcuw== +1:eJwtkssvQ1EQxs+9eu89iQUre1shFixs0FKUhAX60FbaNHYSz9jaeqw8SvwR +RGLVhb+DlYVHWktptZ5p/SZjcZLvm+87M+fMTHdhfX7NNcb0c0KczsCYdgIP +kFtrTBW+5Bhz12bMO7jJ2YBX4Ab9FL4KDnHnBBwlVkEf4P4kuBWoN49+4xmT +5Vj4GPzM0ztyN4p/GX/JNyYH3yJHDX3Caq5tYldos/g30brIMQde8RRH0S8k +v9Vcafg5/n08OXk7d/bAM8R8V/8Yhkc4aef/TeBv9BQ8i/4DXiDfMPmS8KKv +b5C3SM4j6l3Dd1ztQRGewB8OaUw0+bP8/R69Tv4SvAB/hTt4f+G7jsY64H14 +LDhJ7NnTmlI7Qs4UepxTd7RGEnyMHkcfhE/Bv3x9ewLPJ/iTfMvwDLzsaY+k +VzLDKvhN/gtvwEfAB/g/HI0dyuyt1paaUjtntbceJ4b/0dNa8uYe/K7Vv8mM +ZFayQ7JLknPU1xnILKSni2hPnv5VZt6LlieWcXVG0/gbgfZOZiSzkp2R3ZGd +fAE38QSu3mmBY1Z7ITsouzhErOxoj8bhtUB3WXpyyf0/6bJe9Q== "]]}]}, { EdgeForm[], - GrayLevel[0.899], + RGBColor[0.917794, 0.920966, 0.881936], GraphicsGroupBox[{ PolygonBox[CompressedData[" -1:eJw1k81vTGEUxt+ZO9PO3DuZYcPGxs4fwJKwqVDiI/FNg0qTkpBc+m+IRdul -FdNSglpJCLrph5oiJV2IYOsP0Nl5fnmOxZvznPe+5+N5zrk7r946ebOaUjqv -k+mMyxnTuV2x/VUz/ir8Qvin3nRln+vcqdr+CLyS21+WfSz7veZ8q/Lnhaca -vhvOfE+++cj5smZ/VPeHMvvgt4qdFb6n2G/yZ4TpFzsb+HQrpaGBlE7J3qin -dFT4ob5dFx4RLvVoRN+OCF+SvagzLHxBdkPfJsVvi/Js5uY7OphSX/ePhMuK -a1EbDNdnwbdTM0+4vA/O73LzQC/6pxf0op91+cd0vqjWDvH5rbs3Leeby5zz -Q5HSmvpelV3M/W1J9m7D3BZa1u9waHhwwHmP6ywq5qPeLMl+Ct3QDw2GQodO -9MtMqYnW3HN4Q55u8AP3YnbMcCH0vUL+unO1maH0Oif/RGHNy+BOL2Oh21PF -T6OXcrwWfgB32VeDjrms2HHhP7rPCn9Hw2tVa4RW/dy8+7Gja3r3WbG9wm+Z -KXX/a43OexSzS/595dgmvFV4e1hmOlHxDvBmMna+Hz3DjW/sBn1Qg10lhlh2 -j7zE7s49t43Qdj36QEMw3Jk9us6F5vubnuUB2c2G6/5tuG4n/rsy/gd4UbNX -d2/s5kzsJ9owj3bMrYzZrRR+v1x4bvSDJthu9MYuoCm86b0ddc+0vFtnZfc1 -3cPepmvxBk2YJbyeiPs/qcOY9g== +1:eJw1UjFOw0AQXGLfHWW+QIuC+AGJqICSFyAeQJ5ADR0voU2iFFZ+AC9ISJMg +2ThEiTBIwIx2XIx2tTvemd3z0e3w+q5jZqdABnwCFbAEznOzGxQLEEbAO2rk +ZqitEefAxjxfAf1o9gLC9NDBvJvMzlB/Rl4j7vRNyYjaB/AmTc5nfgneBbUx +Y6/eAbANZvf0gv4fMEP+i3gMjQr5Irhvzuxyh+AaJ8n9V9LK4f8pc8+M9LmS +/kicHr6pmQf3yhu8mnML8alTt1ry2e6y17y17kU+d2I+17xSdxsk93QVvZ+L +X+pWrdZS8+mBb1Nop5B5/TH5ez0k/463XgBjvV9HuuRwl6/ovSY6v5HfSv8B +b/6D3gSc7+g6G92nkTfO/wfTbmZK "]], PolygonBox[CompressedData[" -1:eJwlks9LlHEQxsdd3913333BPJgXO3Tzrh7LuiT+CDPUCmO1XDooFKz4b6SC -7l8gWmr062RqGIFu2roqKR1CrFMheF299XmYw8DMPPOd78wzz/WnL+4/T5hZ -K1aLHYRmP0h0pMwexGbLkVkvcRHwDX45a7YfmP0hbqK2RO4t/gn2lXgO+4D/ -HtsF+0b9HvXH9PiXNmvPmHUlzbqxW/iN1NRTO1lj1oA/Qv0Y9aPUD+OXyZ2a -99zDX8PyYD3Ml2O+fuwe8R3iQfwClkt5j1X+G4gdU05Ykfk+0quT/29m/A/9 -1Q3+GHyLuFDjM+/gD5O7CzZO/JK3Vf6fAP9Njwvth73DX8CmwIdi73VEz0Pi -Crj4fQW+j79J7hf+EvaFeDTtvZ5RtIb/F1tOOqfb4FXqLxPOmbi7RlxX6zfQ -LW5kfBe90VtxKC4PwCvgl5Hf6goz5MGT5M6IZ6lpASuJ48B31u7KCWumpg2/ -j9yjwDUgLTyMXRviXNx/B68Ezom4WYlcK9KQtHTOnz8TXrNL7WfwRfDX2Ezo -nIk7cSyupSFpSZzuRM6huJwnXo/8jd6Kk4vQNSVtSUNXwW9nXFviWFxLg9Ki -bq7bi2NxrZ23mac18l01o2Z9kvVbH8LXJ+KNyP+W5qS9zchvpxvoFtOh31Y7 -abf/pyR+SQ== - "]]}]}, { - EdgeForm[], - GrayLevel[1.], - GraphicsGroupBox[{ - PolygonBox[CompressedData[" -1:eJwtUs0ug1EUPEp87eURaOIlxMbfK3gBIcS3YlE/iYdAF7wEq4aNhVS6qJ+0 -vALdtJI2ISm6M2NmcXLOPffcOTPzfXObe2u7hYhYQIwjfosRO2hUkWvIFUQX -/Rz5CrE/FtGejLhE3Ud/uRTxjvyD+Sb6x+h3cF5xn/ecJ842YmAsznQzYS9i -5ilpXwM4d0kczlD3cH9gDp8hHO59TuqfY2appPoC9dBznDkqCOcD9WFBMz3f -MxPzK8Sp48xZ8r7NpHFjSj3isD9blAd17G8mYVDHVibtI/TaiOuJiFaSZ7nf -Vu0t9a1Py4/TooL1Y5IG8qQ+8vk2J+qu2UPyH1lDxWfyaPibPSTds/9mXdQJ -2v/fYt7aeD/0DDny+3WMybm+9w/8dsbaW/DkFTtuoPEl6V3uf6Oc6cyauWxf -7u1FvahgvVoSF+6iLuLyHT0+sSf0Kfd/Qw//ALdMc/U= - "]], - - PolygonBox[{{2197, 629, 630, 2764}, {2295, 226, 615, 2296}, { - 2365, 232, 629, 2366}, {2192, 615, 631, 2751}, {2761, 613, - 690, 2762}, {2752, 372, 684, 2753}, {2809, 634, 1822, - 3261}, {2913, 683, 1846, 3266}, {2764, 630, 1204, 2766}, { - 3261, 1822, 372, 2076}, {2751, 631, 1205, 2768}, {2369, 684, - 226, 2368}, {3266, 1846, 613, 2190}, {2760, 690, 232, - 2759}}]}]}}, {{}, - TagBox[ - TooltipBox[{ - Directive[ - GrayLevel[0], - Opacity[0.5], - CapForm["Butt"]], - - LineBox[{1892, 2809, 3261, 2076, 3021, 2077, 2752, 2753, - 2240, 2369, 2368, 2367, 2295, 2296, 2193, 2750, 2192, 2751, - 2768, 2767}], - - LineBox[{1978, 2913, 3266, 2190, 3167, 2191, 2761, 2762, - 2243, 2760, 2759, 2024, 2365, 2366, 2198, 2763, 2197, 2764, - 2766, 2765}]}, "0.9299999999999999`"], - Annotation[#, 0.9299999999999999, "Tooltip"]& ], - TagBox[ - TooltipBox[{ - Directive[ - GrayLevel[0], - Opacity[0.5], - CapForm["Butt"]], - - LineBox[{1897, 2819, 2611, 2613, 3230, 2612, 2030, 3019, - 3020, 2807, 2808, 1891, 1979, 3015, 3016, 3014, 3018, 3017, - 2025, 2582, 2583, 2581, 3023, 3022}], - - LineBox[{1970, 2897, 2731, 2733, 3242, 2732, 2257, 3159, - 3160, 3156, 3158, 3157, 3186, 1977, 2912, 2911, 3164, 3163, - 2258, 2748, 2749, 2747, 3166, 3165}]}, "0.868`"], - Annotation[#, 0.868, "Tooltip"]& ], - TagBox[ - TooltipBox[{ - Directive[ - GrayLevel[0], - Opacity[0.5], - CapForm["Butt"]], - - LineBox[{2078, 2584, 2586, 2585, 2026, 2932, 2933, 2471, - 2470, 2587, 2261, 1898, 2821, 2820, 3033, 3032, 2244, 3037, - 3038, 3034, 3036, 3035, 2266, 1904, 2492, 2493, 2491, 2035, - 2630, 3231, 2631, 2629, 2829}], - - LineBox[{2189, 2744, 2746, 2745, 2469, 2468, 2580, 2579, - 1969, 2019, 3152, 3153, 3151, 3155, 3154, 2075, 3141, 3142, - 2887, 2888, 1956, 2010, 2716, 2563, 2564, 2444, 2718, 2889, - 3241, 2890, 2717, 3143, 2891}]}, "0.806`"], - Annotation[#, 0.806, "Tooltip"]& ], - TagBox[ - TooltipBox[{ - Directive[ - GrayLevel[0], - Opacity[0.5], - CapForm["Butt"]], - - LineBox[{2079, 2588, 2080, 2589, 2027, 2934, 2935, 2473, - 2472, 2590, 2262, 1899, 2373, 2372, 2615, 2614, 2245, 2619, - 2620, 2616, 2618, 2617, 2267, 1905, 2382, 2381, 2633, 2632, - 2249, 2637, 2638, 2634, 2636, 2635, 2270, 1908, 2497, 2498, - 2496, 2040, 2648, 2111, 2647, 2839}], - LineBox[{2187, 2742, 2188, 2743, 2467, 2466, 2578, 2577, - 1968, 2018, 3149, 3150, 2728, 2730, 2729, 2074, 2714, 2715, - 2413, 2886, 1955, 2009, 3139, 3140, 2711, 2713, 2712, 2069, - 2697, 2698, 2409, 2873, 1950, 2006, 2696, 2557, 2558, 2438, - 2699, 2874, 3122, 2157, 3121, 2875}]}, "0.744`"], - Annotation[#, 0.744, "Tooltip"]& ], +1:eJwlkDsSQVEQRKfe8y6hwAakPmt4SuSTCUXKAliCmEykyg6UQIrQDliBT+4T +oQScNkHfmp6Znuk7xf6wM4jMrAAyoJo1e5BIYrN2MOvlzBoUjtSWiVkXXofv +6Umpn8ndiW+gjLZFLoM2Bil8Ds+b91TgT/iaeANewWdq9g7+hb+D1+RpJm3W +d02ZtyIeg17sHuRFPerd8nyC79RueW4G10grTzXiE/uukXv4ewGjyD3Kq/6g +v+gGl8RvoFtIU6K2IHcw9zCB37Uj8pxqP1NeLiA= + "]]}]}}, {{}, TagBox[ TooltipBox[{ Directive[ @@ -7758,20 +7318,13 @@ Vu0t9a1Py4/TooL1Y5IG8qQ+8vk2J+qu2UPyH1lDxWfyaPibPSTds/9mXdQJ Opacity[0.5], CapForm["Butt"]], - LineBox[{1893, 2810, 3257, 2028, 2936, 2937, 2475, 2474, - 2591, 2263, 1900, 2375, 2374, 2090, 2621, 2246, 2624, 2092, - 2622, 2091, 2623, 2268, 2269, 2101, 3048, 2100, 3049, 1982, - 2832, 2831, 2830, 2102, 2272, 2271, 2389, 2388, 2387, 2112, - 2649, 2250, 2653, 2113, 2650, 2652, 2651, 2274, 1910, 2502, - 2503, 2500, 2044, 2501, 2116}], + LineBox[{1523, 1720, 1690, 1836, 1506, 1835, 1507, 1837, + 1611, 1834, 1505, 1783, 1784, 1785, 1687, 1787, 1786}], - LineBox[{2144, 3264, 3265, 3247, 2689, 2435, 2552, 2551, - 2687, 2002, 1942, 2868, 2405, 2143, 2688, 2064, 2695, 2154, - 2694, 2153, 3118, 2005, 2255, 2156, 3119, 2155, 3120, 2288, - 2883, 2882, 2881, 2168, 2256, 2008, 2885, 2884, 2412, 2169, - 2710, 2073, 2727, 2178, 2726, 3148, 3147, 2017, 1967, 2575, - 2576, 2463, 2464, 2465, 2910}]}, "0.6819999999999999`"], - Annotation[#, 0.6819999999999999, "Tooltip"]& ], + LineBox[{1598, 1776, 1449, 1930, 1929, 2138, 1599, 2236, + 1808, 1967, 1856, 1610, 1855, 1609, 2144, 1451, 1791, + 1790}]}, "0.8999999999999999`"], + Annotation[#, 0.8999999999999999, "Tooltip"]& ], TagBox[ TooltipBox[{ Directive[ @@ -7779,22 +7332,16 @@ Vu0t9a1Py4/TooL1Y5IG8qQ+8vk2J+qu2UPyH1lDxWfyaPibPSTds/9mXdQJ Opacity[0.5], CapForm["Butt"]], - LineBox[{1894, 2811, 3258, 2029, 2938, 2476, 2478, 2477, - 2592, 2264, 1901, 2377, 2376, 2093, 2247, 1980, 2823, 2822, - 3039, 3040, 2945, 2944, 2036, 2946, 2947, 2495, 2494, 2639, - 2273, 1909, 2841, 2840, 3058, 3057, 2251, 3062, 3063, 3059, - 3061, 3060, 2275, 1911, 2505, 2506, 2504, 2045, 3072, 3073, - 3071, 2117, 1984, 2252, 2118, 2659, 2661, 2660, 2277, 1913, - 2509, 2510, 2507, 2047, 2508, 2121}], + LineBox[{1382, 1882, 1532, 2063, 1464, 2049, 2050, 1869, + 1870, 1380, 1432, 1522, 2046, 2048, 2047, 1458, 2037, 2038, + 1857, 1858, 1372, 1429, 1508, 2034, 2036, 2035, 1452, 2040, + 1510, 2039, 1509}], - LineBox[{2138, 3263, 2684, 3246, 2683, 2433, 2545, 2544, - 2682, 1998, 1933, 2859, 2400, 2137, 2287, 2286, 2867, 2866, - 2865, 3107, 3106, 2686, 2434, 2550, 2549, 2685, 2001, 1941, - 2864, 2863, 3105, 3104, 2063, 3116, 3117, 3113, 3115, 3114, - 2004, 1949, 2561, 2562, 2442, 2443, 3137, 3138, 3135, 2167, - 3136, 2291, 2292, 2177, 2725, 3146, 3145, 2016, 1966, 2573, - 2574, 2460, 2461, 2462, 2909}]}, "0.62`"], - Annotation[#, 0.62, "Tooltip"]& ], + LineBox[{1419, 1918, 1592, 2115, 1681, 2119, 2120, 2116, + 2118, 2117, 1709, 1424, 1928, 1927, 2132, 2131, 1684, 2136, + 2137, 2133, 2135, 2134, 1711, 1428, 1939, 1938, 2141, 2140, + 1686, 2143, 1608, 2142, 1607}]}, "0.8099999999999999`"], + Annotation[#, 0.8099999999999999, "Tooltip"]& ], TagBox[ TooltipBox[{ Directive[ @@ -7802,44 +7349,18 @@ Vu0t9a1Py4/TooL1Y5IG8qQ+8vk2J+qu2UPyH1lDxWfyaPibPSTds/9mXdQJ Opacity[0.5], CapForm["Butt"]], - LineBox[{1895, 2812, 2813, 2479, 2481, 2480, 2593, 2265, - 2380, 2379, 2378, 2094, 2248, 1981, 1902, 2948, 2949, 2914, - 2915, 2916, 1906, 3232, 2103, 2041, 2956, 2042, 2499, 2655, - 2654, 2276, 1912, 2847, 2846, 3075, 3074, 2253, 3079, 3080, - 3076, 3078, 3077, 2278, 1914, 2850, 2512, 2049, 2511, 2048, - 3087, 2125, 3086, 2124, 3085, 3084, 2917, 2968, 2967, 3083, - 1986, 2254, 2123, 2664, 2122, 2665, 2279, 1916, 2518, 2519, - 2515, 2517, 2516, 2672}], + LineBox[{1385, 1813, 1814, 1796, 1839, 2072, 1543, 1894, + 1895, 1693, 1467, 2066, 1535, 1883, 1884, 1885, 1435, 1533, + 2064, 1534, 2065, 1465, 2053, 1526, 1871, 1872, 1873, 1433, + 1524, 2051, 1525, 2052, 1459, 1691, 1511, 2041, 1512, 2042, + 1793, 1792, 1810, 1809, 1838}], - LineBox[{1976, 2021, 2459, 2458, 2572, 2571, 1965, 2015, - 3144, 2175, 2724, 2176, 2290, 2289, 3134, 3012, 3013, 3010, - 2068, 3011, 2151, 3111, 2152, 3112, 2437, 2436, 2062, 2556, - 2862, 1940, 2000, 2142, 3101, 3103, 3102, 2060, 3099, 3100, - 2857, 2858, 1930, 1997, 2679, 2680, 2543, 2057, 2432, 2681, - 2136, 3237, 1931, 3001, 2058, 3000, 3003, 3002, 1932, 2284, - 2285, 2134, 2396, 2853, 2854, 1994, 2677, 2534, 2535, 2431, - 2678, 3256, 1995, 2923}]}, "0.558`"], - Annotation[#, 0.558, "Tooltip"]& ], - TagBox[ - TooltipBox[{ - Directive[ - GrayLevel[0], - Opacity[0.5], - CapForm["Butt"]], - LineBox[CompressedData[" -1:eJwNz70uQwEYBuBPI6lio4oN99NE3YGB1lDBzOgvUf8SRRWzSpT2BlTZjNRk -7RV0wjM8ec/7fsnJOVPzy7liX0TMkk9G/A5G/PGYiniizsdQxLRthme9SYMf -+xbbbLLLDl1K7LPHIQf0OOaEI844JTUcUZYXnJMYiLiUNVl3e5BZ5rjXc/LK -vV8uyBHbi28flRX9mkXSess+Jqv6DXky+qt9XN7qdxSY0Nv2Sfnp/75YZ8V/ -N2xvbqueO7ZvNljTm27vbkve8Q/CQDEc - "]], - LineBox[CompressedData[" -1:eJwV0DlOQlEUgOFDQXiAm3BFJEY3YC2DSm0cC2oTwMQKcQQVHBtx6E0sKGwU -cWAffhRfzj3/a969s4vluVIqIgrcZyL+2MtGNMnlIrJ0tRENrU6iZWhp76zm -I1Z44Zl9bciyc4UnHtnV3ig7lxjwQE17pei8RJL4F3NHO5iJWLDP06dl39bv -fE/br81bbtjS++YVF/S4ZFPvmuec0uGMDf3YPKHNEYesT9/BPSd888sPa/qX -OeaDEZ9UvcU/cv41JQ== - "]]}, "0.496`"], Annotation[#, 0.496, "Tooltip"]& ], + LineBox[{1416, 1827, 1828, 1826, 1497, 2100, 1578, 2099, + 1577, 1677, 1676, 2103, 1580, 2101, 1579, 2102, 1707, 1917, + 1916, 1915, 1589, 2111, 1680, 2114, 1591, 2112, 1590, 2113, + 1708, 1925, 1924, 1923, 1596, 2129, 1682, 1683, 1926, 2130, + 1597, 2245, 2031, 1504, 2032, 2033, 1833, 1832, 1854}]}, + "0.72`"], Annotation[#, 0.72, "Tooltip"]& ], TagBox[ TooltipBox[{ Directive[ @@ -7847,23 +7368,20 @@ OeaDEZ9UvcU/cv41JQ== Opacity[0.5], CapForm["Butt"]], - LineBox[{1917, 2280, 2281, 2129, 2671, 2128, 3090, 2330, - 2670, 1987, 3253, 2669, 2428, 2514, 2513, 2668, 2127, 2667, - 2666, 2427, 2051, 3088, 3089, 2851, 2852, 2327, 2119, 2219, - 3250, 2218, 2326, 2216, 3269, 2217, 2114, 2212, 3249, 2211, - 2321, 2209, 3268, 2210, 2104, 2316, 2834, 2833, 3197, 3196, - 2038, 2955, 2037, 3260, 2625, 2095, 3042, 2489, 2490, 2488, - 2597, 2596, 3025, 2300, 2770, 2199, 2769, 2200, 2260, 2259, - 2297}], + LineBox[{1374, 1688, 1689, 1514, 2043, 1513, 1430, 1373, + 1970, 1971, 1940, 1941, 2055, 1528, 2054, 1527, 1692, 1466, + 1537, 2230, 1536, 1436, 1383, 2210, 1538, 1468, 1545, 2231, + 1544, 1437, 1386, 2212, 1546, 1472, 1695, 1902, 1901, 1550, + 2217, 2076, 1946, 1987, 1986, 2075, 1439, 1391, 2216, 1549, + 1697, 1696, 1741}], - LineBox[{1919, 2282, 2283, 2224, 2393, 2394, 2395, 2331, - 1926, 2537, 2538, 2536, 2540, 2539, 2856, 2855, 2542, 2054, - 2541, 2055, 3209, 3210, 3208, 2227, 2337, 2135, 2228, 3236, - 1928, 2338, 1937, 3238, 2233, 2141, 2234, 3239, 1938, 2344, - 1947, 3240, 2238, 2149, 2349, 2150, 3108, 3110, 3109, 2067, - 2439, 2440, 2441, 2879, 2880, 2565, 2566, 2452, 2453, 2013, - 1963, 2359, 2908, 2907, 2423, 2186, 2294, 2293, 2364}]}, - "0.434`"], Annotation[#, 0.434, "Tooltip"]& ], + LineBox[{1427, 1450, 1685, 1606, 2228, 1426, 1710, 2128, + 2028, 2029, 2027, 1500, 2110, 1588, 1913, 1914, 1679, 1678, + 1587, 2227, 1418, 1706, 1575, 2235, 1576, 1675, 1574, 2226, + 1415, 1705, 1568, 2234, 1569, 1673, 1674, 1566, 2096, 1567, + 2097, 1493, 2016, 2018, 2017, 1410, 1702, 2095, 1560, 2094, + 1561, 1672, 1446, 1754}]}, "0.63`"], + Annotation[#, 0.63, "Tooltip"]& ], TagBox[ TooltipBox[{ Directive[ @@ -7871,22 +7389,24 @@ OeaDEZ9UvcU/cv41JQ== Opacity[0.5], CapForm["Butt"]], - LineBox[{1915, 2328, 2329, 2221, 2797, 2220, 3207, 2325, - 2663, 1985, 3252, 2662, 2426, 2046, 2848, 3262, 2120, 3082, - 2849, 2322, 2115, 3204, 2214, 3203, 2213, 2318, 3066, 3067, - 3065, 3069, 3068, 2107, 3199, 3200, 3198, 2206, 2313, 3052, - 3053, 3051, 2105, 3054, 2096, 2311, 2824, 2785, 2205, 2786, - 2031, 2939, 2940, 2599, 2598, 3026, 2304, 2772, 2201, 2771, - 2202, 2299, 2298, 2301}], + LineBox[{1375, 1859, 2242, 1453, 1968, 1454, 1811, 1515, + 1973, 1460, 1972, 1461, 1974, 2057, 2056, 1980, 1981, 1979, + 1983, 1982, 2067, 1694, 1387, 2213, 1547, 1670, 1438, 1388, + 2214, 1548, 1473, 1988, 1474, 1989, 2078, 2077, 1698, 1393, + 1991, 1477, 1990, 1476, 1552, 1551, 1440, 1671, 1553, 2081, + 2083, 2082, 1699, 1399, 1998, 1999, 1995, 1997, 1996, 1398, + 1994, 1482, 1992, 1481, 1993, 1397, 1817, 1480, 1815, 1479, + 1816, 1555}], - LineBox[{1927, 2332, 2333, 2226, 2397, 2398, 2399, 2334, - 1934, 2547, 2548, 2546, 2059, 2799, 2231, 2798, 2230, 2341, - 2140, 3211, 2232, 2860, 2861, 1936, 2342, 1945, 2870, 2869, - 3213, 3212, 2147, 3215, 3216, 2871, 2872, 1946, 2347, 1953, - 2878, 2877, 2239, 3217, 2163, 2351, 2165, 2708, 2166, 2709, - 2072, 2450, 2451, 2012, 1962, 2356, 2906, 2905, 2422, 2184, - 2361, 2360, 2363}]}, "0.372`"], - Annotation[#, 0.372, "Tooltip"]& ], + LineBox[{1558, 1844, 2247, 1843, 1799, 1486, 1823, 1557, + 2090, 2089, 1951, 1485, 2009, 2088, 2087, 1444, 2086, 1950, + 2008, 2007, 2085, 1443, 1402, 2220, 1556, 1701, 1700, 1407, + 2222, 1559, 2093, 1952, 1489, 2012, 2092, 2091, 1445, 1406, + 2015, 1492, 1953, 1954, 1565, 2233, 1564, 1703, 1704, 1573, + 2098, 1572, 1447, 1414, 2019, 2020, 1958, 1959, 1448, 1417, + 2026, 1499, 1963, 1964, 1965, 1423, 1831, 1503, 1803, 1804, + 1805, 1937}]}, "0.54`"], Annotation[#, 0.54, "Tooltip"]& ], + TagBox[ TooltipBox[{ Directive[ @@ -7894,20 +7414,23 @@ OeaDEZ9UvcU/cv41JQ== Opacity[0.5], CapForm["Butt"]], - LineBox[{2081, 2305, 2302, 2303, 2203, 2773, 2775, 2774, - 2307, 3027, 2600, 2601, 2942, 2941, 2032, 2788, 2789, 2787, - 2825, 2826, 2312, 2836, 2835, 2383, 2106, 2640, 2097, 2793, - 2207, 2384, 2385, 2386, 2317, 2845, 2844, 3070, 2656, 2843, - 3233, 2842, 2043, 2425, 2657, 3244, 1983, 2658, 2320, 3205, - 3206, 2796, 2215, 2324, 2323, 2392, 2391}], + LineBox[{1516, 1812, 1455, 1794, 1795, 1431, 1376, 1975, + 1976, 1942, 1943, 1434, 1381, 1721, 1384, 2211, 1622, 1726, + 1725, 2068, 2069, 1985, 1469, 1984, 1470, 1628, 2215, 1389, + 1730, 1731, 1633, 2246, 1632, 1735, 1634, 2239, 1635, 1737, + 1736, 1394, 2218, 1554, 1478, 1948, 2168, 2169, 2171, 2170, + 1742, 1743, 1638, 2219, 1395, 1744, 1400, 2001, 2002, 2000, + 2004, 2003, 1401, 1819, 1820, 1818, 1483, 1821, 1908}], - LineBox[{2185, 2362, 2357, 2358, 2182, 2421, 2904, 1974, - 2354, 1961, 2011, 2449, 2448, 2071, 2706, 2707, 2705, 2164, - 3133, 2348, 2703, 2161, 2702, 2162, 2704, 2148, 2802, 2237, - 2801, 2236, 3214, 2343, 2691, 2146, 2690, 2693, 2692, 2061, - 2553, 2555, 2554, 1943, 2339, 1935, 2402, 2401, 2229, 2336, - 2335, 2404, 2403}]}, "0.31`"], - Annotation[#, 0.31, "Tooltip"]& ], + LineBox[{1605, 1830, 1502, 2030, 1829, 1850, 1849, 2127, + 2024, 2025, 2021, 2023, 2022, 2109, 1770, 2197, 2198, 2196, + 1661, 1764, 1763, 1413, 1957, 1956, 1955, 1496, 1563, 2232, + 1562, 1758, 1759, 1649, 2223, 1409, 1753, 1405, 2221, 1645, + 1752, 1751, 1643, 2240, 1644, 1488, 2010, 1487, 2011, 1404, + 1746, 1747, 1640, 2174, 1639, 1745, 2173, 1442, 2172, 1949, + 2006, 2005, 2084, 1441, 2241, 1842, 1798, 1484, 1822, + 1909}]}, "0.44999999999999996`"], + Annotation[#, 0.44999999999999996`, "Tooltip"]& ], TagBox[ TooltipBox[{ Directive[ @@ -7915,18 +7438,21 @@ OeaDEZ9UvcU/cv41JQ== Opacity[0.5], CapForm["Butt"]], - LineBox[{2083, 2306, 2082, 2779, 2204, 2776, 2778, 2777, - 2308, 3028, 3029, 2603, 3259, 2033, 2943, 2034, 3192, 3193, - 2827, 2828, 1903, 2314, 1907, 2838, 2837, 3056, 3055, 2039, - 2424, 2641, 2642, 2644, 2643, 2315, 3201, 3202, 2794, 2208, - 2795, 2110, 2319, 2390}], + LineBox[{1396, 1740, 1392, 1907, 1906, 1637, 1739, 1738, + 2167, 1636, 2166, 2165, 1947, 1475, 2079, 2080, 1903, 1904, + 1905, 1734, 1898, 1897, 1896, 1631, 1733, 1732, 1629, 2238, + 1630, 1539, 1625, 2237, 1624, 1727, 1728, 1623, 1886, 1887, + 1888, 1722, 1876, 1875, 1874, 2157, 2156, 1463, 1977, 1462, + 1978, 1517, 2044, 1713, 1714, 1613, 1860, 1861, 1377, 1712, + 1781}], - LineBox[{2183, 2355, 2174, 2740, 2180, 2419, 2902, 1973, - 2353, 1960, 2896, 2447, 2446, 2445, 2070, 3131, 3132, 3128, - 3130, 3129, 2346, 3124, 3125, 3123, 3127, 3126, 2066, 2559, - 2065, 2560, 2876, 1951, 2345, 1944, 2407, 2406, 2235, 2800, - 2139, 2340, 2408}]}, "0.248`"], - Annotation[#, 0.248, "Tooltip"]& ], + LineBox[{1403, 1748, 1641, 2175, 1642, 1750, 1749, 1408, + 2014, 1490, 2013, 1491, 2178, 2179, 2176, 1646, 2177, 1755, + 1647, 2180, 1648, 1757, 1756, 1411, 2224, 1652, 1571, 1653, + 2225, 1412, 1761, 1762, 1660, 2194, 1659, 2195, 1769, 1586, + 2106, 2108, 2107, 1498, 1960, 1961, 1962, 1422, 1774, 1775, + 1665, 2207, 2209, 2208, 1778, 1779}]}, "0.36`"], + Annotation[#, 0.36, "Tooltip"]& ], TagBox[ TooltipBox[{ Directive[ @@ -7934,16 +7460,19 @@ OeaDEZ9UvcU/cv41JQ== Opacity[0.5], CapForm["Butt"]], - LineBox[{2108, 2645, 2109, 2646, 2099, 2791, 2792, 2790, - 3195, 3194, 2310, 3044, 3045, 3043, 3047, 3046, 2087, 3190, - 3191, 3187, 3189, 3188, 2309, 2781, 2782, 2780, 2784, 2783, - 2084, 2602, 2085, 2370, 2816}], + LineBox[{1378, 1862, 2243, 1456, 1969, 1457, 2145, 2146, + 1863, 1864, 1379, 1715, 1879, 1878, 1877, 1618, 2158, 1529, + 2159, 1619, 1880, 1881, 1724, 1530, 1723, 1890, 1889, 1626, + 2163, 1540, 2164, 1627, 1891, 1892, 1893, 1729, 1390, 1900, + 1899, 2074, 2073, 1471, 1797, 1840, 2244, 1841, 1945, + 1944}], - LineBox[{2159, 2700, 2160, 2701, 2145, 2803, 2804, 2410, - 2411, 1952, 2350, 1957, 2893, 2892, 3219, 3218, 2170, 3220, - 3221, 2894, 2895, 1959, 2352, 1972, 2900, 2417, 2737, 2736, - 2173, 2741, 2181, 2420, 2903}]}, "0.186`"], - Annotation[#, 0.186, "Tooltip"]& ], + LineBox[{1425, 1936, 1802, 1801, 1800, 1501, 2125, 2126, + 2122, 2124, 2123, 1773, 2204, 1662, 2203, 1663, 2205, 1585, + 2193, 1658, 2192, 1657, 1768, 1584, 1767, 1655, 2190, 1656, + 2191, 1570, 2188, 1651, 2186, 1650, 2187, 1760, 2182, 2183, + 2181, 2185, 2184, 1495, 1824, 1494, 1825, 1846, 1845}]}, + "0.27`"], Annotation[#, 0.27, "Tooltip"]& ], TagBox[ TooltipBox[{ Directive[ @@ -7951,14 +7480,16 @@ OeaDEZ9UvcU/cv41JQ== Opacity[0.5], CapForm["Butt"]], - LineBox[{2098, 2626, 2628, 2627, 2089, 2755, 2756, 2754, - 2806, 2805, 3223, 2607, 2608, 2606, 2610, 2609, 2086, 2604, - 2605, 2371, 2817}], + LineBox[{1541, 2070, 1542, 2071, 1531, 2162, 1621, 2160, + 1620, 2161, 1719, 2059, 2060, 2058, 2062, 2061, 1521, 2154, + 2155, 2151, 2153, 2152, 1717, 2149, 1615, 2148, 1616, 2150, + 1518, 2147, 1614, 1865, 1866}], - LineBox[{2171, 2721, 2723, 2722, 2158, 2719, 2720, 2414, - 2415, 1958, 2758, 1971, 3243, 2757, 2416, 2735, 2734, 2172, - 2738, 2739, 2418, 2901}]}, "0.124`"], - Annotation[#, 0.124, "Tooltip"]& ], + LineBox[{1582, 2104, 1583, 2105, 1581, 2189, 1654, 1910, + 1911, 1912, 1765, 1420, 1920, 1919, 2200, 2199, 1593, 2201, + 2202, 1921, 1922, 1421, 1771, 1933, 1932, 1931, 1664, 2206, + 1602, 2139, 1604, 1934, 1935}]}, "0.18`"], + Annotation[#, 0.18, "Tooltip"]& ], TagBox[ TooltipBox[{ Directive[ @@ -7966,14 +7497,13 @@ OeaDEZ9UvcU/cv41JQ== Opacity[0.5], CapForm["Butt"]], - LineBox[{2241, 3224, 3226, 3225, 2194, 3174, 3175, 3173, - 2195, 2022, 3169, 3170, 3168, 3172, 3171, 2088, 3030, 3031, - 2818, 3267, 3248}], + LineBox[{1519, 1718, 1716, 1868, 1867, 2045, 1520, 2229, + 1806, 1807, 1780, 1612, 1782, 1666, 1667, 1617, 1669, + 1668}], - LineBox[{2242, 3227, 3229, 3228, 2196, 3184, 3185, 3181, - 3183, 3182, 2023, 3177, 3178, 3176, 3180, 3179, 2179, 3161, - 3162, 2898, 3222, 2899}]}, "0.062`"], - Annotation[#, 0.062, "Tooltip"]& ], {}, {}}}], {}}, { + LineBox[{1603, 1777, 1772, 1852, 1600, 1851, 1601, 1853, + 1966, 1848, 1595, 1847, 1594, 2121, 1766, 1789, 1788}]}, + "0.09`"], Annotation[#, 0.09, "Tooltip"]& ], {}, {}}}], {}}, { DisplayFunction -> Identity, DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0., 0.}, FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, @@ -8004,7 +7534,7 @@ OeaDEZ9UvcU/cv41JQ== "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, - "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + "GridLinesInFront" -> True}, PlotRange -> {All, All}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { @@ -8049,9 +7579,230 @@ OeaDEZ9UvcU/cv41JQ== RowBox[{"{", "}"}]}], "]"}]& )]], "Output", CellChangeTimes->{ 3.887950947390402*^9, {3.8879509833730183`*^9, 3.887951000281637*^9}, - 3.88795104496268*^9, 3.887953807696247*^9}, + 3.88795104496268*^9, 3.887953807696247*^9, 3.88805667754762*^9, + 3.888056735903803*^9, 3.8880567947690163`*^9, {3.888056871670081*^9, + 3.888056889322377*^9}, {3.888056966319591*^9, 3.8880569912876387`*^9}, + 3.8880573529684258`*^9, 3.888060594441143*^9}, CellLabel-> - "Out[717]=",ExpressionUUID->"3e0e7be6-f942-4856-9482-954888c9561c"] + "Out[1027]=",ExpressionUUID->"06b6c066-9840-464d-92d4-69a3191fa092"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData["legend"], "Input", + CellChangeTimes->{{3.88805673725572*^9, 3.888056738486987*^9}}, + CellLabel-> + "In[1028]:=",ExpressionUUID->"821d0ed8-e5d7-4566-af2e-e376fefd3342"], + +Cell[BoxData[ + TemplateBox[{ + StyleBox[ + StyleBox[ + PaneBox[ + GraphicsBox[{ + RasterBox[ + SparseArray[ + Automatic, {11, 1}, 0., { + 1, {{0, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, {{1}, {1}, {1}, {1}, { + 1}, {1}, {1}, {1}, {1}, {1}}}, {0.135, 0.225, + 0.31500000000000006`, 0.40499999999999997`, 0.495, + 0.5850000000000001, 0.6750000000000002, 0.765, 0.855, 1.}}], {{ + Rational[-15, 2], + Rational[-225, 2]}, { + Rational[15, 2], + Rational[225, 2]}}], {Antialiasing -> False, + AbsoluteThickness[0.1], + Directive[ + Opacity[0.3], + GrayLevel[0]], + LineBox[ + NCache[{{ + Rational[15, 2], + Rational[-225, 2]}, { + Rational[-15, 2], + Rational[-225, 2]}, { + Rational[-15, 2], + Rational[225, 2]}, { + Rational[15, 2], + Rational[225, 2]}, { + Rational[15, 2], + Rational[-225, 2]}}, {{7.5, -112.5}, {-7.5, -112.5}, {-7.5, + 112.5}, {7.5, 112.5}, {7.5, -112.5}}]]}, { + CapForm[None], {}}, + StyleBox[{Antialiasing -> False, + StyleBox[ + LineBox[{{7.5, -112.5}, {7.5, 112.5}}], { + Directive[ + AbsoluteThickness[0.2], + Opacity[0.3], + GrayLevel[0]]}, StripOnInput -> False], + StyleBox[ + StyleBox[{{ + StyleBox[ + LineBox[{{{7.5, -92.04545454545455}, + Offset[{4., 0}, {7.5, -92.04545454545455}]}, {{ + 7.5, -71.5909090909091}, + Offset[{4., 0}, {7.5, -71.5909090909091}]}, {{ + 7.5, -51.13636363636364}, + Offset[{4., 0}, {7.5, -51.13636363636364}]}, {{ + 7.5, -30.681818181818173`}, + Offset[{4., 0}, {7.5, -30.681818181818173`}]}, {{ + 7.5, -10.227272727272734`}, + Offset[{4., 0}, {7.5, -10.227272727272734`}]}, {{7.5, + 10.22727272727272}, + Offset[{4., 0}, {7.5, 10.22727272727272}]}, {{7.5, + 30.681818181818187`}, + Offset[{4., 0}, {7.5, 30.681818181818187`}]}, {{7.5, + 51.136363636363654`}, + Offset[{4., 0}, {7.5, 51.136363636363654`}]}, {{7.5, + 71.5909090909091}, + Offset[{4., 0}, {7.5, 71.5909090909091}]}, {{7.5, + 92.04545454545453}, + Offset[{4., 0}, {7.5, 92.04545454545453}]}}], { + Directive[ + AbsoluteThickness[0.2], + GrayLevel[0.4]]}, StripOnInput -> False]}, + StyleBox[ + StyleBox[{{ + StyleBox[{ + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.09\"", ShowStringCharacters -> False], 0.09, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, -92.04545454545455}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.18\"", ShowStringCharacters -> False], 0.18, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, -71.5909090909091}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.27\"", ShowStringCharacters -> False], 0.27, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, -51.13636363636364}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.36\"", ShowStringCharacters -> False], 0.36, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, -30.681818181818173`}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.45\"", ShowStringCharacters -> False], + 0.44999999999999996`, AutoDelete -> True], + NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, -10.227272727272734`}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.54\"", ShowStringCharacters -> False], 0.54, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, 10.22727272727272}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.63\"", ShowStringCharacters -> False], 0.63, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, 30.681818181818187`}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.72\"", ShowStringCharacters -> False], 0.72, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, 51.136363636363654`}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.81\"", ShowStringCharacters -> False], 0.81, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, 71.5909090909091}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.90\"", ShowStringCharacters -> False], + 0.8999999999999999, AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, 92.04545454545453}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}]}, { + Directive[ + AbsoluteThickness[0.2], + GrayLevel[0.4]], { + Directive[ + Opacity[1]]}}, StripOnInput -> False]}, {}}, {{ + Directive[ + Opacity[1]]}}, StripOnInput -> False], {"GraphicsLabel"}, + StripOnInput -> False]}, {"GraphicsTicks"}, StripOnInput -> + False], {{ + Directive[ + AbsoluteThickness[0.2], + GrayLevel[0.4]]}}, StripOnInput -> False]}, {"GraphicsAxes"}, + StripOnInput -> False]}, PlotRangePadding -> Scaled[0.02], PlotRange -> + All, Frame -> True, FrameTicks -> {{False, False}, {True, False}}, + FrameStyle -> Opacity[0], FrameTicksStyle -> Opacity[0], + ImageSize -> {Automatic, 225}, BaseStyle -> {}], Alignment -> Left, + AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, + ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> + False], {FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> + False]}, + "BarLegend", + DisplayFunction->(#& ), + InterpretationFunction:>(RowBox[{"BarLegend", "[", + RowBox[{ + RowBox[{"{", + RowBox[{ + RowBox[{ + RowBox[{"GrayLevel", "[", "#1", "]"}], "&"}], ",", + RowBox[{"{", + RowBox[{"0", ",", "1"}], "}"}]}], "}"}], ",", "10", ",", + RowBox[{"LabelStyle", "\[Rule]", + RowBox[{"{", "}"}]}], ",", + RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}], ",", + RowBox[{"LegendMarkerSize", "\[Rule]", "225"}], ",", + RowBox[{"ScalingFunctions", "\[Rule]", + RowBox[{"{", + RowBox[{"Identity", ",", "Identity"}], "}"}]}], ",", + RowBox[{"Charting`AxisLabel", "\[Rule]", "None"}], ",", + RowBox[{"Charting`TickSide", "\[Rule]", "Right"}], ",", + RowBox[{"ColorFunctionScaling", "\[Rule]", "False"}]}], + "]"}]& )]], "Output", + CellChangeTimes->{ + 3.888056739069397*^9, {3.8880568745355883`*^9, 3.8880568904030533`*^9}, { + 3.888056969109429*^9, 3.8880569928240128`*^9}, 3.88805735567457*^9, + 3.888060600434951*^9}, + CellLabel-> + "Out[1028]=",ExpressionUUID->"7e5bc6bb-2f08-4375-bbdc-17aac3b25077"] }, Open ]], Cell[CellGroupData[{ @@ -8794,83 +8545,6 @@ Cell[BoxData[ Cell[CellGroupData[{ -Cell[BoxData[ - RowBox[{"Manipulate", "[", - RowBox[{ - RowBox[{"Plot", "[", - RowBox[{ - RowBox[{"{", - RowBox[{ - RowBox[{"and", "[", - RowBox[{"x", ",", "y"}], "]"}], ",", - RowBox[{"Evaluate", "[", - RowBox[{"D", "[", - RowBox[{ - RowBox[{"and", "[", - RowBox[{"x", ",", "y"}], "]"}], ",", "x"}], "]"}], "]"}]}], "}"}], - ",", - RowBox[{"{", - RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", - RowBox[{"PlotRange", "->", - RowBox[{"{", - RowBox[{ - RowBox[{"{", - RowBox[{"0", ",", "1"}], "}"}], ",", - RowBox[{"{", - RowBox[{"0", ",", "1"}], "}"}]}], "}"}]}], ",", - RowBox[{"GridLines", "->", - RowBox[{"{", - RowBox[{"{", - RowBox[{"1", "/", "2"}], "}"}], "}"}]}]}], "]"}], ",", - RowBox[{"{", - RowBox[{"y", ",", "0", ",", "1"}], "}"}]}], "]"}]], "Input", - CellChangeTimes->{{3.887974436279488*^9, 3.88797447647742*^9}}, - CellLabel-> - "In[740]:=",ExpressionUUID->"20644229-b9cc-4ee6-ac34-775ab6c6b4de"], - -Cell[BoxData[ - TagBox[ - StyleBox[ - DynamicModuleBox[{$CellContext`y$$ = 0, Typeset`show$$ = True, - Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", - Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = - "\"untitled\"", Typeset`specs$$ = {{ - Hold[$CellContext`y$$], 0, 1}}, Typeset`size$$ = { - 360., {113., 116.64199019669311`}}, Typeset`update$$ = 0, - Typeset`initDone$$, Typeset`skipInitDone$$ = True}, - DynamicBox[Manipulate`ManipulateBoxes[ - 1, StandardForm, "Variables" :> {$CellContext`y$$ = 0}, - "ControllerVariables" :> {}, - "OtherVariables" :> { - Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, - Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, - Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, - Typeset`skipInitDone$$}, "Body" :> Plot[{ - $CellContext`and[$CellContext`x, $CellContext`y$$], - Evaluate[ - D[ - $CellContext`and[$CellContext`x, $CellContext`y$$], \ -$CellContext`x]]}, {$CellContext`x, 0, 1}, PlotRange -> {{0, 1}, {0, 1}}, - GridLines -> {{1/2}}], "Specifications" :> {{$CellContext`y$$, 0, 1}}, - "Options" :> {}, "DefaultOptions" :> {}], - ImageSizeCache->{406., {156.6875, 162.3125}}, - SingleEvaluation->True], - Deinitialization:>None, - DynamicModuleValues:>{}, - SynchronousInitialization->True, - UndoTrackedVariables:>{Typeset`show$$, Typeset`bookmarkMode$$}, - UnsavedVariables:>{Typeset`initDone$$}, - UntrackedVariables:>{Typeset`size$$}], "Manipulate", - Deployed->True, - StripOnInput->False], - Manipulate`InterpretManipulate[1]]], "Output", - CellChangeTimes->{{3.887974440513801*^9, 3.8879744772144012`*^9}}, - CellLabel-> - "Out[740]=",ExpressionUUID->"ab9535a8-78bb-42d4-b90b-eb0b95d72893"] -}, Open ]], - -Cell[CellGroupData[{ - Cell[BoxData[{ RowBox[{ RowBox[{"andp1", "=", @@ -8882,14 +8556,16 @@ Cell[BoxData[{ RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", "0", ",", "1"}], "}"}], ",", - RowBox[{"Contours", "->", "10"}], ",", + RowBox[{"Contours", "->", "numContours"}], ",", RowBox[{"ContourShading", "->", "Automatic"}], ",", - RowBox[{"ColorFunction", "->", "GrayLevel"}], ",", + RowBox[{"ColorFunction", "->", "colorFunction"}], ",", + RowBox[{"ColorFunctionScaling", "->", "False"}], ",", RowBox[{"Frame", "->", "False"}], ",", RowBox[{"Axes", "->", "True"}], ",", RowBox[{"AxesLabel", "->", RowBox[{"{", - RowBox[{"x", ",", "y"}], "}"}]}]}], "]"}]}], + RowBox[{"x", ",", "y"}], "}"}]}], ",", + RowBox[{"PlotRange", "->", "All"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"andp1", "=", @@ -8909,14 +8585,16 @@ Cell[BoxData[{ RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", "0", ",", "1"}], "}"}], ",", - RowBox[{"Contours", "->", "10"}], ",", + RowBox[{"Contours", "->", "numContours"}], ",", RowBox[{"ContourShading", "->", "Automatic"}], ",", - RowBox[{"ColorFunction", "->", "GrayLevel"}], ",", + RowBox[{"ColorFunction", "->", "colorFunction"}], ",", + RowBox[{"ColorFunctionScaling", "->", "False"}], ",", RowBox[{"Frame", "->", "False"}], ",", RowBox[{"Axes", "->", "True"}], ",", RowBox[{"AxesLabel", "->", RowBox[{"{", - RowBox[{"x", ",", "y"}], "}"}]}]}], "]"}]}], + RowBox[{"x", ",", "y"}], "}"}]}], ",", + RowBox[{"PlotRange", "->", "All"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"andp2", "=", @@ -8940,9 +8618,10 @@ Cell[BoxData[{ 3.887890184614126*^9}, {3.887890380362569*^9, 3.887890451422278*^9}, { 3.8878906617255383`*^9, 3.887890663823348*^9}, {3.8879496961749477`*^9, 3.887949699746958*^9}, {3.88795101245874*^9, 3.887951074548613*^9}, { - 3.887953815257319*^9, 3.887953820283689*^9}}, + 3.887953815257319*^9, 3.887953820283689*^9}, {3.888056909970448*^9, + 3.888056936582816*^9}, {3.888060605941902*^9, 3.8880606083179913`*^9}}, CellLabel-> - "In[718]:=",ExpressionUUID->"fa1bbf4c-38c7-4a93-bdfd-d8759f5fc390"], + "In[1029]:=",ExpressionUUID->"fa1bbf4c-38c7-4a93-bdfd-d8759f5fc390"], Cell[BoxData[ TemplateBox[{ @@ -9335,7 +9014,7 @@ u4fv8Y328NXPTfxjc7PO23v5v9y4+hdKD9ax+5oTDn/ijP7w9Rnbvmve/nn8 WCfr5juennyHdbFO8LB4NQre/w+THD8Q "], {{{ EdgeForm[], - GrayLevel[0.], + RGBColor[0.1, 0.1, 0.1], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFWGtwVVcV3jdwch+55557IdC8eGN9FApUCyQQC3RGgpUhNyEkFbAEKCgi @@ -9428,7 +9107,8 @@ Hv1PoH8D9fBF1nug5Ldf/wjDeWugtFD/AE3RPaZe05v9SPQbprdMGnIp7zdH b480o5rz/A/U3RLF "]]}]}, { EdgeForm[], - GrayLevel[0.1357999189207551], + RGBColor[ + 0.18461529999999998`, 0.19915007499999998`, 0.213893425], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmXtwVdUVxk8uIQnhnnPulXbGRwUBRbQVKAQU1NY6dRSCWAJJpOIDJPji @@ -9553,7 +9233,7 @@ rNyG9nb15jqE9qb0ttQTB6CbG1mv1D+C/hXOBvavpH+MAvSPpsx2LXtdvPUg PolygonBox[{{4195, 2615, 2924, 2121, 4296}, {4294, 2120, 2894, 2706, 4272}}]}]}, { EdgeForm[], - GrayLevel[0.2263331982012585], + RGBColor[0.238882125, 0.262018125, 0.284081125], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmXm01VUVx+99v3sv711+93d/T0jAaClmgZqAygwyOqSohZYCiqKmrdWz @@ -9694,7 +9374,7 @@ Pq8ueibULLgeyqE/tcp4X+Qbi14TVo/VTKfZTjlQB/4L1w8McQ== PolygonBox[{{4348, 2721, 2565, 2175, 4368}, {4366, 2174, 3138, 2631, 4244}}]}]}, { EdgeForm[], - GrayLevel[0.3168664774817619], + RGBColor[0.287576175, 0.316482975, 0.33934157499999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmHtwVdUVxg/k5iQ3996ck9p2RjRQeVlhrNpq25kWtdp2OuMD0HY6FQ1g @@ -9808,7 +9488,8 @@ jf8bPMrT22pv5DH8rfYUi935Uvv38GVrM7gOvN/XW2UzuhHc7elfyXL0mcUW PolygonBox[{{4191, 2609, 2918, 2115, 4286}, {4284, 2114, 2916, 2607, 4190}}]}]}, { EdgeForm[], - GrayLevel[0.40739975676226525`], + RGBColor[ + 0.33812412499999994`, 0.3722559, 0.39544264999999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmFtwVeUVx3dyzklyDtl7n4PXWok4HbBVZzo4FS8zigFahwjRsQ7YiiA4 @@ -9925,7 +9606,8 @@ t3/VTNBsKE1YL1XNXUlYjBVr7ez3QfdLWq9Rj+gP/j9mDcEy PolygonBox[{{4206, 2622, 2929, 2156, 4339}, {4337, 2155, 2928, 2621, 4205}}]}]}, { EdgeForm[], - GrayLevel[0.4979330360427687], + RGBColor[ + 0.42018837499999995`, 0.4502661, 0.46583434999999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFWH1s1dUZ/vW2vff23v7OvZcv9z2rmyKgfBhpQdBoS4IJ0GmQjyYThdKq @@ -10024,7 +9706,8 @@ mzhHHCAuUI3r0G/17Vus/yD6L6KZ0eyopiXk247/Xs+4Shw9FFiv6k5p/O8K rJc103ci34fPT2HjcHG5elK9qb2JyGeSxi3q8dPI/wM2rTIt "]]}]}, { EdgeForm[], - GrayLevel[0.5884663153232721], + RGBColor[ + 0.5022526249999999, 0.5282762999999999, 0.5362260499999999], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmFuMldUZhv89+5/Zs//Z+997I9DKwUMN0oIHIrSVdgDRmfGmWjlMo6Vg @@ -10125,7 +9808,7 @@ UepNv6Wd67qssXKuM+qsqpGBiX3Il/6BmmPnSLlSjffSv0jevUo19jZzx/Pu Jfqn07+d/o3+jVxL+kf6HxK3V+s= "]]}]}, { EdgeForm[], - GrayLevel[0.6789995946037756], + RGBColor[0.6050727499999999, 0.6224715, 0.6192121249999999], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmG2QlWUZx5+N5Zw9Z8/Lcz6UzQgGJrCsC32woNLpdRS/NKNgjVOTNBEw @@ -10208,7 +9891,8 @@ eEfkGa3ZXOEOduXuAeXUCv4Jn4VVrtlx8EPo2hLPFs3tFyPftfLdpv7mvf6r PolygonBox[{{4291, 1130, 2599, 3064, 4458}, {4451, 3014, 2563, 835, 4292}}]}]}, { EdgeForm[], - GrayLevel[0.7695328738842788], + RGBColor[ + 0.7120440499999998, 0.7199036999999998, 0.7047170749999998], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNV1tsVFUUPTPT6dw7M7dzLwg1Maadyoc1JoCgomhCAhQoT0VNABPBgAKJ @@ -10286,7 +9970,8 @@ mf8s9T9A/wLtzCD4f6ImCow= PolygonBox[{{4453, 3025, 2577, 874, 4345}, {4344, 891, 3188, 3036, 4455}}]}]}, { EdgeForm[], - GrayLevel[0.8600661531647823], + RGBColor[ + 0.7987852499999999, 0.8026662999999999, 0.7775599249999999], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNV1tsVFUUPTPtdIbb3pm5AqXih7H4IQESpkZplCb+WEqBiEUTaCtRNKT1 @@ -10352,7 +10037,8 @@ R34FOVWBa1W81cS1gWtbGm5nHvcCfyvSvHpSb9pRFfVLIv9X6Z+6OPKe1Js0 PolygonBox[{{4457, 3058, 2595, 1074, 4302}, {4301, 867, 2575, 3023, 4452}}]}]}, { EdgeForm[], - GrayLevel[1.], + RGBColor[ + 0.9129594355950474, 0.916160239761895, 0.8776958675986122], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJw1VDtMFFEUfcuy7M7szDBEPppoopFOlkSwFej4aEywNsEYo1gsGytj4q8w @@ -10626,7 +10312,7 @@ lffXJKkPykD8Hf3UmWdyKNO2VfkHK8VAOg== "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, - "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + "GridLinesInFront" -> True}, PlotRange -> {All, All}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { @@ -11227,7 +10913,9 @@ RoPcfUYLOfqlqP8H58F5MQ6M62PPzy6FlClpx0ftO5YolGxcGCfk0MO4MM5/ AG9PLFw= "], {{{ EdgeForm[], - GrayLevel[0.], + RGBColor[ + 0.10093051529449441`, 0.10109035435952797`, + 0.10125248712590809`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNlk1o3FUUxV8yaZKZSeY/M9RlBDUYW3WjtZmCFXWjghXaheA2SVGwVkzX @@ -11276,7 +10964,8 @@ HfgufEfj5L8jphlqh77LNNVb9m+rmd5OvSRt+BvaVNHbcU1vIfcfl2aCXg== "]]}]}, { EdgeForm[], - GrayLevel[0.13470488499058986`], + RGBColor[ + 0.18461529999999998`, 0.19915007499999998`, 0.213893425], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmHuMVdUVxs/MvXce9zLn3HMH7B+ttpUq8wAGBnwwzNhWW0WQhyiglLYC @@ -11371,7 +11060,7 @@ rHbtM8i1yD+kjdebFGJbE1rv/tfTacOgsKj/IHW+YVRYFWa+ItbvgdVWO1q7 utO3XNRj6rUlvs1m7TDtsn8B4osoaA== "]]}]}, { EdgeForm[], - GrayLevel[0.22550669000253787`], + RGBColor[0.238882125, 0.262018125, 0.284081125], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmXmQVNUVxt9Md083M9Ov3xtXIBFM0KiouER2QUQttyAaE0UwGgVcUEYY @@ -11515,7 +11204,7 @@ Gqta2zfybKmaodqhGU2zmmbyHcjT1LVGOavcbZO6l+lOp6f+77G11LGs/yCq PolygonBox[{{4579, 1093, 2691, 3292, 4693}, {4690, 3273, 2677, 825, 4580}}]}]}, { EdgeForm[], - GrayLevel[0.3163084950144859], + RGBColor[0.287576175, 0.316482975, 0.33934157499999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmXu0VdV1xs+9557L4d7LPntfUBHSRptEg0GUhyQRtSnWmPBQBI1GMQo+ @@ -11661,7 +11350,8 @@ nn9D5B1Fu4r+E/UFb5p4d9R/iKvAb4n8llTTFfAvS879N4BuBP4fP47Wcg== 3153, 4687}, {4685, 3162, 3078, 1477, 4428}, {4623, 2244, 3159, 2695, 4170}}]}]}, { EdgeForm[], - GrayLevel[0.4071103000264339], + RGBColor[ + 0.33812412499999994`, 0.3722559, 0.39544264999999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxVmXmsVdUVxs99w733TeeecwVaFZDRIYDVqoC1CDI3TAKC4oDV0kiaCtpY @@ -11788,7 +11478,8 @@ ZbXTjPNtJ9RuqBz6Gft7fKtlvekP4Nd9s62YboDv8iwXVEOqpfvitktoJ9Nu tiCwWaMYDwY24zTr1K/nKtcDmyXyuRr8XyOglCU= "]]}]}, { EdgeForm[], - GrayLevel[0.49791210503838196`], + RGBColor[ + 0.42018837499999995`, 0.4502661, 0.46583434999999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmgmUluV1x9+P2b5tvmVEBiFRWXJiwAUFYhoVSKNpTKqiYTMGUIwsplEW @@ -11969,7 +11660,8 @@ vdm2yL27ejTFBMUG1VAD8v430Cr2W9M/AvXWuyL3euqx14SuyVWLa81t8Ovg f6BaGdie9h3T3dKY/vXdF5mnf377su79lCOUK/4HoU6vrA== "]]}]}, { EdgeForm[], - GrayLevel[0.5887139100503299], + RGBColor[ + 0.5022526249999999, 0.5282762999999999, 0.5362260499999999], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmHuwllUVxt/vcr7vnO/yvu93kptc5MCR42XSsUwctREFTS01LwGa3AXU @@ -12080,7 +11772,7 @@ se/qH2Je7J3X7gtj9+KvFX8rgmvWB92KorFeZ9Lp7dkq745q8D93H1Fw PolygonBox[{{4686, 3176, 2781, 1480, 4432}, {4624, 1817, 3196, 3194, 4689}}]}]}, { EdgeForm[], - GrayLevel[0.679515715062278], + RGBColor[0.6050727499999999, 0.6224715, 0.6192121249999999], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmGtslmcZx5++79vT+/Z9nufltCCsLYnFooKR1gQ/aNwYYOmEHTzgBFsW @@ -12163,7 +11855,8 @@ G4sbY6lnRRzRrlmSmjvaOUvwP5B6lsWR9ZlnSTtIu0g9VC+1M4+gP8G/eskz PolygonBox[{{3913, 2688, 3280, 2382, 4668}, {4636, 2325, 3278, 2685, 3904}}]}]}, { EdgeForm[], - GrayLevel[0.7703175200742259], + RGBColor[ + 0.7120440499999998, 0.7199036999999998, 0.7047170749999998], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJw1VktsVVUUva993/a++2GCH0goDHQCOnGgDYqiExyIfFSCaZMiYmssGEwc @@ -12227,7 +11920,8 @@ Rtp9x3gs+W4hdwb60zLUW4V9mNGNL4l127NC7arfuGPq2PqNDMK3RNoV/3M/ 5/Rn+t/pN1BHvN+xcvvMfsH/A5S/zu8= "]]}]}, { EdgeForm[], - GrayLevel[0.8611193250861741], + RGBColor[ + 0.7987852499999999, 0.8026662999999999, 0.7775599249999999], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJw1VktslFUYvVPmPfP/88/vThMNtkxjF7qiia8FPioSVy4UCxolqNFOqSkl @@ -12280,7 +11974,8 @@ KY6Ja7rBLPteS5zr4rC4vB7fJvpP4htOnDPijjALe77g3LsD3t7EOS1uiwMj PolygonBox[{{4605, 2216, 3188, 2723, 4497}, {4498, 2724, 3189, 2217, 4607}}]}]}, { EdgeForm[], - GrayLevel[0.9999999999999999], + RGBColor[ + 0.9117650333076903, 0.9149729536818911, 0.876648322584272], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJwtlL1PVEEUxS8Lebz32JW3Y+tiLO0gWkkiQQXdAgsSNLHE+FloNKCJBCiM @@ -12543,7 +12238,7 @@ z488xggFe8nzy1zORyxhHQnm9IFnUvMpKvgHtAApPA== "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, - "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + "GridLinesInFront" -> True}, PlotRange -> {All, All}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { @@ -12589,9 +12284,10 @@ z488xggFe8nzy1zORyxhHQnm9IFnUvMpKvgHtAApPA== CellChangeTimes->{3.887889422547476*^9, 3.887889479471768*^9, 3.887889728052351*^9, 3.887890066985073*^9, 3.887890185721641*^9, 3.887890452785516*^9, 3.887890665144073*^9, 3.887949700709874*^9, - 3.88795107605553*^9, 3.887953821136107*^9}, + 3.88795107605553*^9, 3.887953821136107*^9, 3.888056938074265*^9, + 3.888056998694669*^9, 3.888060609877955*^9}, CellLabel-> - "Out[722]=",ExpressionUUID->"d4e0e698-53bf-4766-b273-880fd78e75ff"] + "Out[1033]=",ExpressionUUID->"05e955ca-121c-4b85-b5b3-77cf795c6b8a"] }, Open ]], Cell[CellGroupData[{ @@ -13249,14 +12945,16 @@ Cell[BoxData[{ RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", "0", ",", "1"}], "}"}], ",", - RowBox[{"Contours", "->", "10"}], ",", + RowBox[{"Contours", "->", "numContours"}], ",", RowBox[{"ContourShading", "->", "Automatic"}], ",", - RowBox[{"ColorFunction", "->", "GrayLevel"}], ",", + RowBox[{"ColorFunction", "->", "colorFunction"}], ",", + RowBox[{"ColorFunctionScaling", "->", "False"}], ",", RowBox[{"Frame", "->", "False"}], ",", RowBox[{"Axes", "->", "True"}], ",", RowBox[{"AxesLabel", "->", RowBox[{"{", - RowBox[{"x", ",", "y"}], "}"}]}]}], "]"}]}], + RowBox[{"x", ",", "y"}], "}"}]}], ",", + RowBox[{"PlotRange", "->", "All"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"orp1", "=", @@ -13276,14 +12974,16 @@ Cell[BoxData[{ RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", "0", ",", "1"}], "}"}], ",", - RowBox[{"Contours", "->", "10"}], ",", + RowBox[{"Contours", "->", "numContours"}], ",", RowBox[{"ContourShading", "->", "Automatic"}], ",", - RowBox[{"ColorFunction", "->", "GrayLevel"}], ",", + RowBox[{"ColorFunction", "->", "colorFunction"}], ",", + RowBox[{"ColorFunctionScaling", "->", "False"}], ",", RowBox[{"Frame", "->", "False"}], ",", RowBox[{"Axes", "->", "True"}], ",", RowBox[{"AxesLabel", "->", RowBox[{"{", - RowBox[{"x", ",", "y"}], "}"}]}]}], "]"}]}], + RowBox[{"x", ",", "y"}], "}"}]}], ",", + RowBox[{"PlotRange", "->", "All"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"orp2", "=", @@ -13304,9 +13004,10 @@ Cell[BoxData[{ 3.8878905660614357`*^9}, {3.887890688854076*^9, 3.887890695565502*^9}, { 3.887891255780734*^9, 3.887891255919057*^9}, {3.887949706625394*^9, 3.887949712586328*^9}, {3.8879510856702547`*^9, 3.887951128037455*^9}, { - 3.887953828965436*^9, 3.887953833625577*^9}}, + 3.887953828965436*^9, 3.887953833625577*^9}, {3.888057004605967*^9, + 3.888057026337265*^9}, {3.8880606163337507`*^9, 3.888060617819343*^9}}, CellLabel-> - "In[723]:=",ExpressionUUID->"369ed30d-1130-482c-8a48-d10d19130428"], + "In[1034]:=",ExpressionUUID->"369ed30d-1130-482c-8a48-d10d19130428"], Cell[BoxData[ TagBox[GridBox[{ @@ -13691,7 +13392,9 @@ fXl/gnmGdv+vo1Y87t8PXB9mH3ziQW+9T/mFdULnR39+/S6XTB0OP3z//i/8 "], {{{ EdgeForm[], - GrayLevel[8.673617379884035*^-19], + RGBColor[ + 0.10369199911999541`, 0.10432619147657078`, + 0.10496948453616856`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFUz1PVEEUvU9Ddt/bt+9JTUh2G4QEQ7FKQ0UECipDY3Y3a2EBJBCgIfwB @@ -13720,7 +13423,8 @@ jG+AzsC8LPnmXT3p3WvOvOsOcoH9K30D2cC8FfQOzjzqznX3+iaO6V2L2VvR f/oI36H+wlmsb6IItsPmVX3+Af0mVco= "]]}]}, { EdgeForm[], - GrayLevel[0.1298745935818285], + RGBColor[ + 0.18461529999999998`, 0.19915007499999998`, 0.213893425], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNlkts1FUUxm879jHzn//MFKgJIiiPCiImJhoh9IF16SNIR8FQ7IJENySK @@ -13776,7 +13480,7 @@ sv4BQ/ivSfmua8czyGX4r4177pqh/hH6V6in6m1J4LPXzhQj/wMxa6Xt "]], PolygonBox[{{4252, 3047, 2462, 1332, 3737}}]}]}, { EdgeForm[], - GrayLevel[0.2204078728623319], + RGBColor[0.238882125, 0.262018125, 0.284081125], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNl1lsVVUUhs+9t5f23N57ztVE5clqqa0oxBEHQBMnfNAIKpaoSQu0dYrD @@ -13852,7 +13556,7 @@ XNCMbE/d2xXkI+xvZf436E3U27gk9ezozdTbWZ96NnQn0zn/1xpy6Eo= PolygonBox[{{3787, 1388, 2488, 2969, 4257}, {4256, 3060, 2486, 1386, 3785}}]}]}, { EdgeForm[], - GrayLevel[0.3109411521428353], + RGBColor[0.287576175, 0.316482975, 0.33934157499999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmFuMltUVhj/m9P8z8x8+1KbYJrV4UVohFRUFhKZia4rMcNEDBZo2qaig @@ -13938,7 +13642,8 @@ PZuaEs8azajB3LlrZh7NPcurE//7NNMr8d9W9OzXG/sfFVUE7A== "]], PolygonBox[{{4068, 1640, 2653, 2867, 4251}}]}]}, { EdgeForm[], - GrayLevel[0.40147443142333866`], + RGBColor[0.33812412499999994`, 0.3722559, 0.39544264999999995`], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmG2QlXUZxp895zlnz9lznvM8LuCMsrwty1szKRZBfQiakd38YGZNqAGx @@ -14027,7 +13732,8 @@ m/HZH3nGLS/6TdFbopzMQt7Nd3zBNmsTr9VM1Wxdh+3bBc8T2SgHykUF/9+C PolygonBox[{{4254, 3056, 2476, 1374, 3773}, {3775, 1376, 2478, 2959, 4255}}]}]}, { EdgeForm[], - GrayLevel[0.4920077107038421], + RGBColor[0.42018837499999995`, 0.4502661, 0.46583434999999995`], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmG1sleUZx5+eyuk5Pc/znBPpHHbsg1t4kUoDxhFAaLEtLSjUzYmZUAXU @@ -14119,7 +13825,8 @@ tNMfBlfi66GMd6N8Phb5X6qd/jbytsS56p+8DvwfgWr4Ww== PolygonBox[{{4223, 2237, 2624, 2412, 4250}, {4253, 3050, 2465, 1334, 3739}}]}]}, { EdgeForm[], - GrayLevel[0.5825409899843454], + RGBColor[ + 0.5022526249999999, 0.5282762999999999, 0.5362260499999999], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNWWmQVcUVvjPvvvu2++59lcQsigaUvQCVJVaRRStiABMgQGKhkoS1mIEq @@ -14237,7 +13944,7 @@ kXdx7YzaHbdF3k21w2qXVc6V+2eJ/xT45si7+SfAyNh31F2Vg5rINaha1A7V UbtY5N1dO7J25ZOxfekf1r/cruDdQDNfs/8/DrSkKw== "]]}]}, { EdgeForm[], - GrayLevel[0.6730742692648489], + RGBColor[0.6050727499999999, 0.6224715, 0.6192121249999999], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmXm0VlUZxg/c+33fvR/nnP0BMilWTmjLAVBMDcTEAUPupYVr+UcrbIVL @@ -14352,7 +14059,8 @@ Cfjmec9SzSzNriOxe1k9cDR2r9XP+m1Tz5VnvSftRTNad6y71owtIpdTsWep /glOg4/F/jfQDKoBX5f430b/JM3B/wOUmVv7 "]]}]}, { EdgeForm[], - GrayLevel[0.7636075485453522], + RGBColor[ + 0.7120440499999998, 0.7199036999999998, 0.7047170749999998], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmXmQVdURxu97vPvmzcy9774YxaClxkJKEwWNihGM+8aiwuACqCzuoiWU @@ -14478,7 +14186,8 @@ M/z40P8x9F9DGFCG7lDk/z6aiTQbHY38NoQxwpr/AMTs8d8= PolygonBox[{{3363, 2935, 2819, 1382, 3780}, {3783, 1384, 3059, 2455, 3371}}]}]}, { EdgeForm[], - GrayLevel[0.8541408278258557], + RGBColor[ + 0.7987852499999999, 0.8026662999999999, 0.7775599249999999], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmHmQlsURxt9dXL9d9j3WKKCkEjD5J2KVKAgsIhGRqMgqy3IqqByLCeAB @@ -14600,7 +14309,7 @@ VCm/0Z2UsFyWzXG/Y/aALwevDO3tqJ5YBf8/wClw1g== PolygonBox[{{3358, 2841, 2815, 1337, 3742}, {4225, 2300, 2939, 2458, 3564}}]}]}, { EdgeForm[], - GrayLevel[1.], + RGBColor[0.917794, 0.920966, 0.881936], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmGuMVdUVx/c87rl3mHPPGV7ODAPDU6vjeyAV7Qf5UmKMpYL4KElT0Wgi @@ -14935,7 +14644,7 @@ bSv/ "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, - "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + "GridLinesInFront" -> True}, PlotRange -> {All, All}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { @@ -15553,7 +15262,8 @@ oh/cF+7zSWqoX9zfd+nHPRUdiyzVEuVFee/7aVL1i3HjPnCfuO//AXYabGw= "], {{{ EdgeForm[], - GrayLevel[0.], + RGBColor[ + 0.1046415249556618, 0.1054388219089011, 0.10624756012710816`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJw1U89LVGEUverI+N7Xe9ODalMgiZAuEowgW/Rr1aJiRndlJrhSJhLEXW2y @@ -15584,7 +15294,8 @@ szfWt9WZSWf/gL59HL/eGYf2VnvGPeZbTmeM4C/79m/p3aZjdvs86tPYf8eM V6c= "]]}]}, { EdgeForm[], - GrayLevel[0.12873757694189414`], + RGBColor[ + 0.18461529999999998`, 0.19915007499999998`, 0.213893425], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJw1lktMnVUUhQ9QuFz++/gvDtQ4UJOmdWRBUBNxUBkXS+nIBxSMtkVqcWR0 @@ -15637,7 +15348,7 @@ z9V33nffc1xAt53627OK4TP8B2xKmaA= PolygonBox[{{4621, 2511, 2987, 3436, 3797}, {3813, 3206, 3205, 2387, 4597}}]}]}, { EdgeForm[], - GrayLevel[0.2195437500752926], + RGBColor[0.238882125, 0.262018125, 0.284081125], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFl0ls1VUUxm/bxxvaN5WwxEhDSAAXGKSFEgq0bEwwYBlcmTDoFkqioQU2 @@ -15703,7 +15414,7 @@ TtG3TD06mXhWtHPavQ8y91o7ol05k7nXuhGfw3cVfaN0m1TD05l7q5q8D59m 7q1qth/sXjDai54F7dhbRe+wdlcz9x/ai9tK "]]}]}, { EdgeForm[], - GrayLevel[0.31034992320869104`], + RGBColor[0.287576175, 0.316482975, 0.33934157499999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFV1lsVVUUPX3tGzq8e98l0sQJBSpDq3FkKoVQeJhojEFMHIhGKZQPwCJj @@ -15779,7 +15490,8 @@ ozeq96n/S9RD9fJ8wdy6s7q77wB+qdgH PolygonBox[{{4389, 2686, 3137, 2195, 4485}, {4487, 2196, 3140, 2688, 4390}}]}]}, { EdgeForm[], - GrayLevel[0.4011560963420895], + RGBColor[0.33812412499999994`, 0.3722559, 0.39544264999999995`], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFWFtwVdUZ3uecfa7k7H12OlNosRVGSayCDqR1KJckwx2MY63y0pm+2Ito @@ -15885,7 +15597,8 @@ ZpfNIeISrTWUvSabetCJsy6qNKeJy8RhzQVznrhOPfkf0CRXRA== PolygonBox[{{4095, 1304, 2669, 3223, 4636}, {4635, 3382, 2667, 1302, 4093}}]}]}, { EdgeForm[], - GrayLevel[0.49196226947548793`], + RGBColor[0.42018837499999995`, 0.4502661, 0.46583434999999995`], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmgn0VdV1xu/7v/9w33Tfe4g4YxCDEziAU7RGQGQUnEDTOg8IJFhtbVdX @@ -16061,10 +15774,12 @@ oHxRPiRfUg+4Lu1c3ShybaCcrdq2PHLtqRpXMUmxSXtai+1J+s+mxGvW2sfl UL4MPHZFZB+Vb+7VfwKR34B8XzrLY9uULflwXeS1Iut+F7h3mhu5t1QPdTDj XKAc9zB8bWRL1YMGflOqHYoi1xKqIVT7JSO/RdWA/wdeHp/+ "]], + PolygonBox[{{4533, 2825, 2646, 2262, 4535}, {4537, 2263, 3273, 2683, 4388}}]}]}, { EdgeForm[], - GrayLevel[0.5827684426088864], + RGBColor[ + 0.5022526249999999, 0.5282762999999999, 0.5362260499999999], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmXmQVcUVxu+bmTfvwfDeu3dgENzRsIjGoQQEFKMCKshi4sYoiIIGiCDI @@ -16197,7 +15912,7 @@ VOy/v2rmUfafnvhu+qPqr/of9nKrRA== PolygonBox[{{4491, 1135, 3403, 3220, 4634}, {4633, 3198, 2651, 965, 4490}}]}]}, { EdgeForm[], - GrayLevel[0.6735746157422849], + RGBColor[0.6050727499999999, 0.6224715, 0.6192121249999999], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmnu0VVUVxve5557HfZyz94aBPFIzTCs1FRyNUYL05GEpIFcDLj6GVqZG @@ -16347,7 +16062,8 @@ Rq4FynHlekPiWNAMqFlQMafY0wx+mf41UueKbHZXbEE1OddM1c7FkWNR/wj1 6DYn/ncTpgfyc+iLOdfEqsT/WPrX0j/czNTfVN9Wb7gQ+T+8hvZ4 "]]}]}, { EdgeForm[], - GrayLevel[0.7643807888756833], + RGBColor[ + 0.7120440499999998, 0.7199036999999998, 0.7047170749999998], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmXu01mMWx3/nfd/znvec0/u7uEwJS5gZRDIjy20tzGLGnZhIKKcaxhpE @@ -16482,7 +16198,8 @@ kd488/VW1HzLekbdplmbOBfVRLVRz6n3ZDM58TfoW5TDSOyvwX8u7/e2aqQ3 hd4WugP3wxfF/i8kDL4F/j+Ue+yR "]]}]}, { EdgeForm[], - GrayLevel[0.8551869620090818], + RGBColor[ + 0.7987852499999999, 0.8026662999999999, 0.7775599249999999], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmG2MVdUVhs8M987cuTP3nHsGaYUZqEZqQm0tpAbU2Ng2bVMlsUATQEas @@ -16580,7 +16297,8 @@ s04xKJaNkXerduom8H8u7Dws PolygonBox[{{4628, 3249, 2716, 915, 4361}, {4364, 1594, 2854, 3153, 4632}, {4574, 1142, 3128, 3126, 4629}}]}]}, { EdgeForm[], - GrayLevel[1.], + RGBColor[ + 0.9165853588987618, 0.9197645599404737, 0.8808759668996531], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNVc9PXGUUvTMdYOZ15r15BdGFEKHiQkx3TUypsq9uxI0/WhtNVUoTTSNo @@ -16852,7 +16570,7 @@ Owf0nPvU9e5x6PuIGiVvOpEb8lgWzC2lf3JRnspvvphaMJf2pl45kJfyg22G "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, - "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + "GridLinesInFront" -> True}, PlotRange -> {All, All}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { @@ -16887,9 +16605,9 @@ Owf0nPvU9e5x6PuIGiVvOpEb8lgWzC2lf3JRnspvvphaMJf2pl45kJfyg22G 3.887890191298184*^9, {3.887890554668165*^9, 3.887890567142034*^9}, 3.8878906965803957`*^9, {3.887891248705365*^9, 3.887891257006971*^9}, 3.8879497137739887`*^9, {3.887951123457563*^9, 3.887951129118972*^9}, - 3.8879538344491367`*^9}, + 3.8879538344491367`*^9, 3.888057027707711*^9, 3.8880606193954287`*^9}, CellLabel-> - "Out[727]=",ExpressionUUID->"31a00c43-326a-4880-8e1b-72ee0dfa92ed"] + "Out[1038]=",ExpressionUUID->"fb575fb6-0ea0-4264-97bb-1b15ca353d37"] }, Open ]] }, Open ]], @@ -17123,14 +16841,16 @@ Cell[BoxData[{ RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", "0", ",", "1"}], "}"}], ",", - RowBox[{"Contours", "->", "10"}], ",", + RowBox[{"Contours", "->", "numContours"}], ",", RowBox[{"ContourShading", "->", "Automatic"}], ",", - RowBox[{"ColorFunction", "->", "GrayLevel"}], ",", + RowBox[{"ColorFunction", "->", "colorFunction"}], ",", + RowBox[{"ColorFunctionScaling", "->", "False"}], ",", RowBox[{"Frame", "->", "False"}], ",", RowBox[{"Axes", "->", "True"}], ",", RowBox[{"AxesLabel", "->", RowBox[{"{", - RowBox[{"x", ",", "y"}], "}"}]}]}], "]"}]}], + RowBox[{"x", ",", "y"}], "}"}]}], ",", + RowBox[{"PlotRange", "->", "All"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"impp1", "=", @@ -17150,14 +16870,16 @@ Cell[BoxData[{ RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", "0", ",", "1"}], "}"}], ",", - RowBox[{"Contours", "->", "10"}], ",", + RowBox[{"Contours", "->", "numContours"}], ",", RowBox[{"ContourShading", "->", "Automatic"}], ",", - RowBox[{"ColorFunction", "->", "GrayLevel"}], ",", + RowBox[{"ColorFunction", "->", "colorFunction"}], ",", + RowBox[{"ColorFunctionScaling", "->", "False"}], ",", RowBox[{"Frame", "->", "False"}], ",", RowBox[{"Axes", "->", "True"}], ",", RowBox[{"AxesLabel", "->", RowBox[{"{", - RowBox[{"x", ",", "y"}], "}"}]}]}], "]"}]}], + RowBox[{"x", ",", "y"}], "}"}]}], ",", + RowBox[{"PlotRange", "->", "All"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"impp2", "=", @@ -17177,9 +16899,10 @@ Cell[BoxData[{ 3.887891243983523*^9}, {3.887949723977706*^9, 3.887949757915202*^9}, { 3.8879511391089373`*^9, 3.887951194173952*^9}, {3.887952201603012*^9, 3.887952220496492*^9}, {3.887952256250382*^9, 3.887952263120162*^9}, { - 3.88795383975543*^9, 3.887953850501157*^9}}, + 3.88795383975543*^9, 3.887953850501157*^9}, {3.888057036034676*^9, + 3.888057060897973*^9}, {3.888060626998063*^9, 3.888060631281499*^9}}, CellLabel-> - "In[728]:=",ExpressionUUID->"9c3d75a5-6f6b-428a-ab36-b4310252f443"], + "In[1039]:=",ExpressionUUID->"9c3d75a5-6f6b-428a-ab36-b4310252f443"], Cell[BoxData[ TagBox[GridBox[{ @@ -17574,7 +17297,9 @@ fGTv/bPGT3lpIa9Hz1N2djqvKtd90TazafE6mS/0y6ILbzr/qM8K3el3Vw9q fSH8OuXEBa/s/4bwt3bgwd++e5D4I/8HDXbJ3w== "], {{{ EdgeForm[], - GrayLevel[0.], + RGBColor[ + 0.10378090839940428`, 0.10443037312837115`, 0.1050891577199327], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJwtUj1PQlEM7fODe9+F52qiMrj6AZsCi/4G/4AfOzrpimAcFdSVBDVxMjHR @@ -17598,7 +17323,8 @@ o1Pqn9S9O/ALXys6t5tX4ZvRM7ZsbacB6k702yzDLvPL0efZ3G7wm+3WBj07 0TO1LMN/Nm/BPcuonnkOtmMNPoI4H13bI9vnxDOybOw//gOvF0eS "]]}]}, { EdgeForm[], - GrayLevel[0.12975041647800445`], + RGBColor[ + 0.18461529999999998`, 0.19915007499999998`, 0.213893425], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFVUtsTVEUPa73ue/ed8UAE9oSJkQw8ZuQdGBQCa2RaqLVqt8AE6p+k1Yl @@ -17644,7 +17370,7 @@ RHq7c44kmrnP3mc2Ta2XU+X2HpVSfaP+rfoOVvDH0Xsf6L/BZ/gfOvWU5A== "]]}]}, { EdgeForm[], - GrayLevel[0.22029661591959937`], + RGBColor[0.238882125, 0.262018125, 0.284081125], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFVktsVVUUPbz3et97992LM0lAQCUaRhonD6P2WWPSduAHpYrFARSoShVM @@ -17704,7 +17430,7 @@ K+7KZwh5Xcz+RnFG3KnAf6tnufTH/gNUCMXR "]], PolygonBox[{{3591, 2503, 2108, 1161, 3206}}]}]}, { EdgeForm[], - GrayLevel[0.3108428153611943], + RGBColor[0.287576175, 0.316482975, 0.33934157499999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJw1V1tsFVUUHW9779x7Zwaj8UkUiiQ8IvxI+6NgLAoKCqEFYhT1gwIFxVtD @@ -17771,7 +17497,8 @@ nWRv7n7PelBtnYlj4po4+wX/f36Uwdo= "]], PolygonBox[{{3593, 2479, 2124, 1468, 3503}}]}]}, { EdgeForm[], - GrayLevel[0.40138901480278916`], + RGBColor[0.33812412499999994`, 0.3722559, 0.39544264999999995`], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNV1tsFVUUnXtn7rzOvQUkKkiiwZTEYPwB/QACWBODH0aSkmgpbYFKW9qi @@ -17851,7 +17578,8 @@ P3RyAsE= PolygonBox[{{3210, 1165, 2112, 2309, 3590}, {3592, 2504, 2110, 1163, 3208}}]}]}, { EdgeForm[], - GrayLevel[0.49193521424438413`], + RGBColor[0.42018837499999995`, 0.4502661, 0.46583434999999995`], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFWFlsVVUUvX3Q917Pua+lkMigiLSIFkSwFCXWKQpEqTSRoiAKWhwoFCml @@ -17930,7 +17658,8 @@ ESDdNA== PolygonBox[{{3595, 2071, 750, 1166, 3590}, {3584, 2436, 2434, 1942, 3585}, {2907, 824, 2087, 2018, 3588}}]}]}, { EdgeForm[], - GrayLevel[0.5824814136859789], + RGBColor[ + 0.5022526249999999, 0.5282762999999999, 0.5362260499999999], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNWG1sVmcZPu/7nvO+b897DkYjOra4yEcLW+IGG+og0ZHSmTLRAElFwVBl @@ -18031,7 +17760,7 @@ taeen5h37t9h/yjjMyzOuafUS/pPMRVbb8w0+v+qe4Az "]], PolygonBox[{{3599, 2089, 826, 825, 3588}}]}]}, { EdgeForm[], - GrayLevel[0.673027613127574], + RGBColor[0.6050727499999999, 0.6224715, 0.6192121249999999], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFWGtwVlcVvUm++z3uPXdGGkqhqBBqqBUExhkoHWhpIQmUFAkUEFtnaCso @@ -18128,7 +17857,8 @@ M7c6unfUczXRs//zUs92fQP0bZibeLbrG7Elsy/15Fbw8mzQdPCb0gZujZ59 RNfiCtZOB+/I3Bu6407w7MTfBM1o/Wf4D6K4FbA= "]]}]}, { EdgeForm[], - GrayLevel[0.7635738125691687], + RGBColor[ + 0.7120440499999998, 0.7199036999999998, 0.7047170749999998], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmHuwVXUVx/c5+5x7zt2/c0zhAj4uCNqIaRioKDjXHj5TpsEpdOoPLQnE @@ -18244,7 +17974,8 @@ SurYifPF/UsT157+efTvo56n3qc1aqFfGZxr4iBx0YbEuaR/Hv37/AuQRbBu PolygonBox[{{2836, 2390, 2388, 1172, 3219}, {3222, 1174, 2312, 2074, 2835}}]}]}, { EdgeForm[], - GrayLevel[0.8541200120107637], + RGBColor[ + 0.7987852499999999, 0.8026662999999999, 0.7775599249999999], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNWHlwV9UZfUkgCfe9h2BJ6whVqUIIwrCpQQJCQMBQFGRXEhaxM21nwIpj @@ -18345,7 +18076,7 @@ DPU22Zv3Cr6zQr199gbtQ58J9F/D/mMUWX9B98bpjbW39n+XVCvC PolygonBox[{{3069, 2447, 2444, 1947, 3587}, {2909, 827, 2091, 2021, 3589}}]}]}, { EdgeForm[], - GrayLevel[1.], + RGBColor[0.917794, 0.920966, 0.881936], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmFuMVtUVx8/HfOfMcOY7M8NFhltrmjRpuVhBaQ03C7Y60ALaERBBbWtJ @@ -18663,7 +18394,7 @@ Z749dxdu1LOxVEQfuV00dw== "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, - "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + "GridLinesInFront" -> True}, PlotRange -> {All, All}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { @@ -19358,7 +19089,9 @@ JJaKt9q29WDI0vugrV4dllr6JJ3n3D+xlY42Y2uSIXWtiDZQyoJN9L1P0+zo MI3a/2Ntay1Oztr+LWGYCdFnTkJPvuTi/wCTG0mZ "], {{{ EdgeForm[], - GrayLevel[8.673617379884035*^-19], + RGBColor[ + 0.10471004098684411`, 0.10551910726663698`, + 0.10633978370202618`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFUjtLg0EQ3HwmJl/uywMCKrEShURQ7PNQKxGsfDSWakQr7SxtBatga+Uv @@ -19383,7 +19116,8 @@ AVXqm1CzNmPt7jP3McN0QZl5dh+p3vIZirz/jPdOUbu5Rzc78PvT9MM/SpSJ Z+EzxSX9N+7xjtdLopl8lnaobB5i1Z6RfwP+LXgmX/B/AW7lQyo= "]]}]}, { EdgeForm[], - GrayLevel[0.12864147175702784`], + RGBColor[ + 0.18461529999999998`, 0.19915007499999998`, 0.213893425], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFlU1slVUQhk/vT3t7v/vdW+MPoptWDIWyKNGo0aCLYqgXFkaTYkLiQtGF @@ -19434,7 +19168,7 @@ tnwGq0vald9UG/awotvxmeXAjYp242/O316jLC6v2Wv/B94mjiY= PolygonBox[{{3396, 2978, 2672, 2263, 4146}, {3395, 710, 2350, 2406, 3394}}]}]}, { EdgeForm[], - GrayLevel[0.2194576613261465], + RGBColor[0.238882125, 0.262018125, 0.284081125], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFlltoXVUQhlfOOTvnln1O0LRVn6yQNJoUa6oP0rRWjZj04kOLGhAUNNS0 @@ -19491,7 +19225,7 @@ u5L1t9cfVYG8OuUy/YENipX23ddOajf/A8bOpbA= "]], PolygonBox[{{3313, 855, 2410, 2716, 4149}}]}]}, { EdgeForm[], - GrayLevel[0.31027385089526516`], + RGBColor[0.287576175, 0.316482975, 0.33934157499999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNVllsVVUUPa/v9fa99t53O9Fi2g/RGmPUGj40ISZtNQzK1AFCHPpFMAVM @@ -19554,7 +19288,8 @@ RA== PolygonBox[{{4132, 2168, 2877, 2587, 4124}, {4054, 2541, 2388, 2053, 4066}}]}]}, { EdgeForm[], - GrayLevel[0.4010900404643838], + RGBColor[0.33812412499999994`, 0.3722559, 0.39544264999999995`], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmG2QlWUZx5+zy9mzyz7nPGeJNUAwkNImq8miYpmwsZoVBZmJsJRWFh3I @@ -19654,7 +19389,8 @@ aSfOSFqNVVvlmJO2XmonZ5PbMyl7I/Q26E5NCeuBaq8ZLwcvTtlu1bvTG9ku PolygonBox[{{4155, 2963, 2432, 1190, 3694}, {3692, 1188, 2430, 2722, 4148}}]}]}, { EdgeForm[], - GrayLevel[0.4919062300335025], + RGBColor[0.42018837499999995`, 0.4502661, 0.46583434999999995`], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmQmQldWVx7/X3a/f99bvWaMRI4iWNWbGGFBEUFtFkGaTLYkTtoBA1HJh @@ -19825,7 +19561,8 @@ XENUO1STlfOV++WzRewz1Fmqx76G//8BZ0OfGA== PolygonBox[{{4067, 2550, 2392, 2099, 4110}, {4164, 2412, 857, 1189, 4148}, {4108, 2098, 2826, 2437, 3942}}]}]}, { EdgeForm[], - GrayLevel[0.5827224196026211], + RGBColor[ + 0.5022526249999999, 0.5282762999999999, 0.5362260499999999], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmHuMVdUVxs99zL0zcO45o0YbHxWhvhhHbdNEUNt/ahTQKjgzgESpisGa @@ -19939,7 +19676,7 @@ NfYZ6CzU429D/z/NiHIH "]], PolygonBox[{{4154, 2901, 2420, 998, 4061}}]}]}, { EdgeForm[], - GrayLevel[0.6735386091717398], + RGBColor[0.6050727499999999, 0.6224715, 0.6192121249999999], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJw9mXm0ntMVxr/cfO/7fffed7jiDxmQSnJDgqISglaCxNyGoAvVqpk0pDJw @@ -20074,7 +19811,8 @@ xP8R9F9B/wm+iLzDaJeRD/JFOavcVQ12j53Tym3tYF9rn8m5N2km94f3Pw/x p7I= "]]}]}, { EdgeForm[], - GrayLevel[0.7643547987408583], + RGBColor[ + 0.7120440499999998, 0.7199036999999998, 0.7047170749999998], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmXmQldURxd+bt83yLSBoTImASlwCAzIYiMoqKkEhFVEUZ3BLAqJRExUY @@ -20200,7 +19938,8 @@ jIvMk0xvzg7qt9RvUe0w7bKDhe5p9bLecBcT2+oNc0nzOfHZVZPPYP8/7TWT lw== "]]}]}, { EdgeForm[], - GrayLevel[0.8551709883099771], + RGBColor[ + 0.7987852499999999, 0.8026662999999999, 0.7775599249999999], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmG1sluUVx++nfZ67Ldwv9T1sg+zBF6bIxkrrIuI21H2YCSVB2RdbZIAx @@ -20289,7 +20028,8 @@ vRuU0yeaFeTrC3ynr8N3Jd6d+taZ+I3WW62Zb448I5oVvSHrkC2N/NZrJ70V PolygonBox[{{3966, 1039, 2839, 2760, 4150}, {4156, 2939, 2446, 1584, 3969}}]}]}, { EdgeForm[], - GrayLevel[1.], + RGBColor[ + 0.9165853588987618, 0.9197645599404737, 0.8808759668996531], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJwtVU1IlFEUfeOo44zzfZ+aiYajWQQhBCn+BLUoFdpGRMtRxzZp9g+1qTQq @@ -20508,6 +20248,7 @@ pUPTnp72qSXvO/8k/4+ea13XtaEXye/z3XN0nHfs3GXBeYV/6Lo48Q== 3549, 3548, 3576, 3658, 3095, 3971, 3575, 3406, 3450, 3998, 3449, 3120, 3902, 3311, 3901, 3312, 4144, 4145, 4147, 4146, 3396, 4177}], + LineBox[{3386, 3338, 3339, 3214, 3788, 3790, 3789, 3842, 4062, 4044, 4045, 3928, 4047, 4046, 3112, 4139, 3309, 3941, 3310, 3395, 3394, 4153, 4162}]}, "0.18`"], @@ -20555,7 +20296,7 @@ pUPTnp72qSXvO/8k/4+ea13XtaEXye/z3XN0nHfs3GXBeYV/6Lo48Q== "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, - "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + "GridLinesInFront" -> True}, PlotRange -> {All, All}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { @@ -20585,9 +20326,10 @@ pUPTnp72qSXvO/8k/4+ea13XtaEXye/z3XN0nHfs3GXBeYV/6Lo48Q== AutoDelete->False, GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Grid"]], "Output", - CellChangeTimes->{3.887953851462846*^9}, + CellChangeTimes->{3.887953851462846*^9, 3.88805706231196*^9, + 3.8880606326081676`*^9}, CellLabel-> - "Out[732]=",ExpressionUUID->"c3b91e04-bb87-4fb0-857d-3c7cdc7e99d0"] + "Out[1043]=",ExpressionUUID->"233e23c6-23d9-4919-8961-a83799100c69"] }, Open ]], Cell[CellGroupData[{ @@ -20639,7 +20381,7 @@ Cell[BoxData[ 3.887951773660573*^9}, {3.887951824068047*^9, 3.887951824352274*^9}, { 3.887967044108746*^9, 3.887967074768607*^9}}, CellLabel-> - "In[735]:=",ExpressionUUID->"fd14bacd-dcf1-4542-8962-7b9ff7627e9f"], + "In[1044]:=",ExpressionUUID->"fd14bacd-dcf1-4542-8962-7b9ff7627e9f"], Cell[BoxData[ TagBox[GridBox[{ @@ -20653,12 +20395,12 @@ Cell[BoxData[ GraphicsBox[{ RasterBox[ SparseArray[ - Automatic, {16, 1}, 0., { - 1, {{0, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, - 15}, {{1}, {1}, {1}, {1}, {1}, {1}, {1}, {1}, {1}, {1}, { - 1}, {1}, {1}, {1}, {1}}}, {0.093, 0.155, 0.217, 0.279, - 0.34099999999999997`, 0.403, 0.46499999999999997`, 0.527, - 0.589, 0.651, 0.713, 0.775, 0.837, 0.899, 1.}}], {{ + Automatic, {11, 1}, 0., { + 1, {{0, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, {{1}, {1}, {1}, { + 1}, {1}, {1}, {1}, {1}, {1}, {1}}}, {0.135, 0.225, + 0.31500000000000006`, 0.40499999999999997`, 0.495, + 0.5850000000000001, 0.6750000000000002, 0.765, 0.855, + 1.}}], {{ Rational[-15, 2], Rational[-225, 2]}, { Rational[15, 2], @@ -20681,156 +20423,7 @@ Cell[BoxData[ Rational[-225, 2]}}, {{ 7.5, -112.5}, {-7.5, -112.5}, {-7.5, 112.5}, {7.5, 112.5}, {7.5, -112.5}}]]}, { - CapForm[None], {{ - Directive[ - GrayLevel[0], - Opacity[0.5], - CapForm["Butt"]], - CapForm["Butt"], - LineBox[ - NCache[{{ - Rational[-15, 2], -98.4375}, { - Rational[15, 2], -98.4375}}, {{-7.5, -98.4375}, { - 7.5, -98.4375}}]]}, { - Directive[ - GrayLevel[0], - Opacity[0.5], - CapForm["Butt"]], - CapForm["Butt"], - LineBox[ - NCache[{{ - Rational[-15, 2], -84.375}, { - Rational[15, 2], -84.375}}, {{-7.5, -84.375}, { - 7.5, -84.375}}]]}, { - Directive[ - GrayLevel[0], - Opacity[0.5], - CapForm["Butt"]], - CapForm["Butt"], - LineBox[ - NCache[{{ - Rational[-15, 2], -70.3125}, { - Rational[15, 2], -70.3125}}, {{-7.5, -70.3125}, { - 7.5, -70.3125}}]]}, { - Directive[ - GrayLevel[0], - Opacity[0.5], - CapForm["Butt"]], - CapForm["Butt"], - LineBox[ - NCache[{{ - Rational[-15, 2], -56.25}, { - Rational[15, 2], -56.25}}, {{-7.5, -56.25}, { - 7.5, -56.25}}]]}, { - Directive[ - GrayLevel[0], - Opacity[0.5], - CapForm["Butt"]], - CapForm["Butt"], - LineBox[ - NCache[{{ - Rational[-15, 2], -42.1875}, { - Rational[15, 2], -42.1875}}, {{-7.5, -42.1875}, { - 7.5, -42.1875}}]]}, { - Directive[ - GrayLevel[0], - Opacity[0.5], - CapForm["Butt"]], - CapForm["Butt"], - LineBox[ - NCache[{{ - Rational[-15, 2], -28.125}, { - Rational[15, 2], -28.125}}, {{-7.5, -28.125}, { - 7.5, -28.125}}]]}, { - Directive[ - GrayLevel[0], - Opacity[0.5], - CapForm["Butt"]], - CapForm["Butt"], - LineBox[ - NCache[{{ - Rational[-15, 2], -14.0625}, { - Rational[15, 2], -14.0625}}, {{-7.5, -14.0625}, { - 7.5, -14.0625}}]]}, { - Directive[ - GrayLevel[0], - Opacity[0.5], - CapForm["Butt"]], - CapForm["Butt"], - LineBox[ - NCache[{{ - Rational[-15, 2], 0.}, { - Rational[15, 2], 0.}}, {{-7.5, 0.}, {7.5, 0.}}]]}, { - Directive[ - GrayLevel[0], - Opacity[0.5], - CapForm["Butt"]], - CapForm["Butt"], - LineBox[ - NCache[{{ - Rational[-15, 2], 14.0625}, { - Rational[15, 2], 14.0625}}, {{-7.5, 14.0625}, {7.5, - 14.0625}}]]}, { - Directive[ - GrayLevel[0], - Opacity[0.5], - CapForm["Butt"]], - CapForm["Butt"], - LineBox[ - NCache[{{ - Rational[-15, 2], 28.125}, { - Rational[15, 2], 28.125}}, {{-7.5, 28.125}, {7.5, - 28.125}}]]}, { - Directive[ - GrayLevel[0], - Opacity[0.5], - CapForm["Butt"]], - CapForm["Butt"], - LineBox[ - NCache[{{ - Rational[-15, 2], 42.1875}, { - Rational[15, 2], 42.1875}}, {{-7.5, 42.1875}, {7.5, - 42.1875}}]]}, { - Directive[ - GrayLevel[0], - Opacity[0.5], - CapForm["Butt"]], - CapForm["Butt"], - LineBox[ - NCache[{{ - Rational[-15, 2], 56.25}, { - Rational[15, 2], 56.25}}, {{-7.5, 56.25}, {7.5, - 56.25}}]]}, { - Directive[ - GrayLevel[0], - Opacity[0.5], - CapForm["Butt"]], - CapForm["Butt"], - LineBox[ - NCache[{{ - Rational[-15, 2], 70.3125}, { - Rational[15, 2], 70.3125}}, {{-7.5, 70.3125}, {7.5, - 70.3125}}]]}, { - Directive[ - GrayLevel[0], - Opacity[0.5], - CapForm["Butt"]], - CapForm["Butt"], - LineBox[ - NCache[{{ - Rational[-15, 2], 84.375}, { - Rational[15, 2], 84.375}}, {{-7.5, 84.375}, {7.5, - 84.375}}]]}, { - Directive[ - GrayLevel[0], - Opacity[0.5], - CapForm["Butt"]], - CapForm["Butt"], - LineBox[ - NCache[{{ - Rational[-15, 2], 98.4375}, { - Rational[15, 2], 98.4375}}, {{-7.5, 98.4375}, {7.5, - 98.4375}}]]}}}, + CapForm[None], {}}, StyleBox[{Antialiasing -> False, StyleBox[ LineBox[{{7.5, -112.5}, {7.5, 112.5}}], { @@ -20841,15 +20434,26 @@ Cell[BoxData[ StyleBox[ StyleBox[{{ StyleBox[ - LineBox[{{{7.5, -98.4375}, - Offset[{4., 0}, {7.5, -98.4375}]}, {{7.5, -70.3125}, - Offset[{4., 0}, {7.5, -70.3125}]}, {{7.5, -42.1875}, - Offset[{4., 0}, {7.5, -42.1875}]}, {{7.5, -14.0625}, - Offset[{4., 0}, {7.5, -14.0625}]}, {{7.5, 14.0625}, - Offset[{4., 0}, {7.5, 14.0625}]}, {{7.5, 42.1875}, - Offset[{4., 0}, {7.5, 42.1875}]}, {{7.5, 70.3125}, - Offset[{4., 0}, {7.5, 70.3125}]}, {{7.5, 98.4375}, - Offset[{4., 0}, {7.5, 98.4375}]}}], { + LineBox[{{{7.5, -92.04545454545455}, + Offset[{4., 0}, {7.5, -92.04545454545455}]}, {{ + 7.5, -71.5909090909091}, + Offset[{4., 0}, {7.5, -71.5909090909091}]}, {{ + 7.5, -51.13636363636364}, + Offset[{4., 0}, {7.5, -51.13636363636364}]}, {{ + 7.5, -30.681818181818173`}, + Offset[{4., 0}, {7.5, -30.681818181818173`}]}, {{ + 7.5, -10.227272727272734`}, + Offset[{4., 0}, {7.5, -10.227272727272734`}]}, {{7.5, + 10.22727272727272}, + Offset[{4., 0}, {7.5, 10.22727272727272}]}, {{7.5, + 30.681818181818187`}, + Offset[{4., 0}, {7.5, 30.681818181818187`}]}, {{7.5, + 51.136363636363654`}, + Offset[{4., 0}, {7.5, 51.136363636363654`}]}, {{7.5, + 71.5909090909091}, + Offset[{4., 0}, {7.5, 71.5909090909091}]}, {{7.5, + 92.04545454545453}, + Offset[{4., 0}, {7.5, 92.04545454545453}]}}], { Directive[ AbsoluteThickness[0.2], GrayLevel[0.4]]}, StripOnInput -> False]}, @@ -20860,73 +20464,92 @@ Cell[BoxData[ FormBox[ TagBox[ InterpretationBox[ - StyleBox["\"0.062\"", ShowStringCharacters -> False], - 0.062, AutoDelete -> True], NumberForm[#, { - DirectedInfinity[1], 3}]& ], TraditionalForm], - Offset[{7., 0.}, {7.5, -98.4375}], + StyleBox["\"0.09\"", ShowStringCharacters -> False], 0.09, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, -92.04545454545455}], ImageScaled[{0, 0.5}], Automatic, {1, 0}], InsetBox[ FormBox[ TagBox[ InterpretationBox[ - StyleBox["\"0.186\"", ShowStringCharacters -> False], - 0.186, AutoDelete -> True], NumberForm[#, { - DirectedInfinity[1], 3}]& ], TraditionalForm], - Offset[{7., 0.}, {7.5, -70.3125}], + StyleBox["\"0.18\"", ShowStringCharacters -> False], 0.18, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, -71.5909090909091}], ImageScaled[{0, 0.5}], Automatic, {1, 0}], InsetBox[ FormBox[ TagBox[ InterpretationBox[ - StyleBox["\"0.310\"", ShowStringCharacters -> False], - 0.31, AutoDelete -> True], NumberForm[#, { - DirectedInfinity[1], 3}]& ], TraditionalForm], - Offset[{7., 0.}, {7.5, -42.1875}], + StyleBox["\"0.27\"", ShowStringCharacters -> False], 0.27, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, -51.13636363636364}], ImageScaled[{0, 0.5}], Automatic, {1, 0}], InsetBox[ FormBox[ TagBox[ InterpretationBox[ - StyleBox["\"0.434\"", ShowStringCharacters -> False], - 0.434, AutoDelete -> True], NumberForm[#, { - DirectedInfinity[1], 3}]& ], TraditionalForm], - Offset[{7., 0.}, {7.5, -14.0625}], + StyleBox["\"0.36\"", ShowStringCharacters -> False], 0.36, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, -30.681818181818173`}], ImageScaled[{0, 0.5}], Automatic, {1, 0}], InsetBox[ FormBox[ TagBox[ InterpretationBox[ - StyleBox["\"0.558\"", ShowStringCharacters -> False], - 0.558, AutoDelete -> True], NumberForm[#, { - DirectedInfinity[1], 3}]& ], TraditionalForm], - Offset[{7., 0.}, {7.5, 14.0625}], + StyleBox["\"0.45\"", ShowStringCharacters -> False], + 0.44999999999999996`, AutoDelete -> True], + NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, -10.227272727272734`}], ImageScaled[{0, 0.5}], Automatic, {1, 0}], InsetBox[ FormBox[ TagBox[ InterpretationBox[ - StyleBox["\"0.682\"", ShowStringCharacters -> False], - 0.6819999999999999, AutoDelete -> True], NumberForm[#, { - DirectedInfinity[1], 3}]& ], TraditionalForm], - Offset[{7., 0.}, {7.5, 42.1875}], + StyleBox["\"0.54\"", ShowStringCharacters -> False], 0.54, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, 10.22727272727272}], ImageScaled[{0, 0.5}], Automatic, {1, 0}], InsetBox[ FormBox[ TagBox[ InterpretationBox[ - StyleBox["\"0.806\"", ShowStringCharacters -> False], - 0.806, AutoDelete -> True], NumberForm[#, { - DirectedInfinity[1], 3}]& ], TraditionalForm], - Offset[{7., 0.}, {7.5, 70.3125}], + StyleBox["\"0.63\"", ShowStringCharacters -> False], 0.63, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, 30.681818181818187`}], ImageScaled[{0, 0.5}], Automatic, {1, 0}], InsetBox[ FormBox[ TagBox[ InterpretationBox[ - StyleBox["\"0.930\"", ShowStringCharacters -> False], - 0.9299999999999999, AutoDelete -> True], NumberForm[#, { - DirectedInfinity[1], 3}]& ], TraditionalForm], - Offset[{7., 0.}, {7.5, 98.4375}], + StyleBox["\"0.72\"", ShowStringCharacters -> False], 0.72, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, 51.136363636363654`}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.81\"", ShowStringCharacters -> False], 0.81, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, 71.5909090909091}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.90\"", ShowStringCharacters -> False], + 0.8999999999999999, AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, 92.04545454545453}], ImageScaled[{0, 0.5}], Automatic, {1, 0}]}, { Directive[ AbsoluteThickness[0.2], @@ -20959,159 +20582,7 @@ Cell[BoxData[ RowBox[{ RowBox[{"GrayLevel", "[", "#1", "]"}], "&"}], ",", RowBox[{"{", - RowBox[{"0.`", ",", "1.`"}], "}"}]}], "}"}], ",", - RowBox[{"{", - RowBox[{ - RowBox[{"{", - RowBox[{"0.062`", ",", - RowBox[{"Directive", "[", - RowBox[{ - - TemplateBox[<|"color" -> GrayLevel[0]|>, - "GrayLevelColorSwatchTemplate"], ",", - RowBox[{"Opacity", "[", "0.5`", "]"}], ",", - RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], - "}"}], ",", - RowBox[{"{", - RowBox[{"0.124`", ",", - RowBox[{"Directive", "[", - RowBox[{ - - TemplateBox[<|"color" -> GrayLevel[0]|>, - "GrayLevelColorSwatchTemplate"], ",", - RowBox[{"Opacity", "[", "0.5`", "]"}], ",", - RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], - "}"}], ",", - RowBox[{"{", - RowBox[{"0.186`", ",", - RowBox[{"Directive", "[", - RowBox[{ - - TemplateBox[<|"color" -> GrayLevel[0]|>, - "GrayLevelColorSwatchTemplate"], ",", - RowBox[{"Opacity", "[", "0.5`", "]"}], ",", - RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], - "}"}], ",", - RowBox[{"{", - RowBox[{"0.248`", ",", - RowBox[{"Directive", "[", - RowBox[{ - - TemplateBox[<|"color" -> GrayLevel[0]|>, - "GrayLevelColorSwatchTemplate"], ",", - RowBox[{"Opacity", "[", "0.5`", "]"}], ",", - RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], - "}"}], ",", - RowBox[{"{", - RowBox[{"0.31`", ",", - RowBox[{"Directive", "[", - RowBox[{ - - TemplateBox[<|"color" -> GrayLevel[0]|>, - "GrayLevelColorSwatchTemplate"], ",", - RowBox[{"Opacity", "[", "0.5`", "]"}], ",", - RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], - "}"}], ",", - RowBox[{"{", - RowBox[{"0.372`", ",", - RowBox[{"Directive", "[", - RowBox[{ - - TemplateBox[<|"color" -> GrayLevel[0]|>, - "GrayLevelColorSwatchTemplate"], ",", - RowBox[{"Opacity", "[", "0.5`", "]"}], ",", - RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], - "}"}], ",", - RowBox[{"{", - RowBox[{"0.434`", ",", - RowBox[{"Directive", "[", - RowBox[{ - - TemplateBox[<|"color" -> GrayLevel[0]|>, - "GrayLevelColorSwatchTemplate"], ",", - RowBox[{"Opacity", "[", "0.5`", "]"}], ",", - RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], - "}"}], ",", - RowBox[{"{", - RowBox[{"0.496`", ",", - RowBox[{"Directive", "[", - RowBox[{ - - TemplateBox[<|"color" -> GrayLevel[0]|>, - "GrayLevelColorSwatchTemplate"], ",", - RowBox[{"Opacity", "[", "0.5`", "]"}], ",", - RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], - "}"}], ",", - RowBox[{"{", - RowBox[{"0.558`", ",", - RowBox[{"Directive", "[", - RowBox[{ - - TemplateBox[<|"color" -> GrayLevel[0]|>, - "GrayLevelColorSwatchTemplate"], ",", - RowBox[{"Opacity", "[", "0.5`", "]"}], ",", - RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], - "}"}], ",", - RowBox[{"{", - RowBox[{"0.62`", ",", - RowBox[{"Directive", "[", - RowBox[{ - - TemplateBox[<|"color" -> GrayLevel[0]|>, - "GrayLevelColorSwatchTemplate"], ",", - RowBox[{"Opacity", "[", "0.5`", "]"}], ",", - RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], - "}"}], ",", - RowBox[{"{", - RowBox[{"0.6819999999999999`", ",", - RowBox[{"Directive", "[", - RowBox[{ - - TemplateBox[<|"color" -> GrayLevel[0]|>, - "GrayLevelColorSwatchTemplate"], ",", - RowBox[{"Opacity", "[", "0.5`", "]"}], ",", - RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], - "}"}], ",", - RowBox[{"{", - RowBox[{"0.744`", ",", - RowBox[{"Directive", "[", - RowBox[{ - - TemplateBox[<|"color" -> GrayLevel[0]|>, - "GrayLevelColorSwatchTemplate"], ",", - RowBox[{"Opacity", "[", "0.5`", "]"}], ",", - RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], - "}"}], ",", - RowBox[{"{", - RowBox[{"0.806`", ",", - RowBox[{"Directive", "[", - RowBox[{ - - TemplateBox[<|"color" -> GrayLevel[0]|>, - "GrayLevelColorSwatchTemplate"], ",", - RowBox[{"Opacity", "[", "0.5`", "]"}], ",", - RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], - "}"}], ",", - RowBox[{"{", - RowBox[{"0.868`", ",", - RowBox[{"Directive", "[", - RowBox[{ - - TemplateBox[<|"color" -> GrayLevel[0]|>, - "GrayLevelColorSwatchTemplate"], ",", - RowBox[{"Opacity", "[", "0.5`", "]"}], ",", - RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], - "}"}], ",", - RowBox[{"{", - RowBox[{"0.9299999999999999`", ",", - RowBox[{"Directive", "[", - RowBox[{ - - TemplateBox[<|"color" -> GrayLevel[0]|>, - "GrayLevelColorSwatchTemplate"], ",", - RowBox[{"Opacity", "[", "0.5`", "]"}], ",", - RowBox[{"CapForm", "[", "\"Butt\"", "]"}]}], "]"}]}], - "}"}]}], "}"}], ",", + RowBox[{"0", ",", "1"}], "}"}]}], "}"}], ",", "10", ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}], ",", @@ -21121,7 +20592,7 @@ Cell[BoxData[ RowBox[{"Identity", ",", "Identity"}], "}"}]}], ",", RowBox[{"Charting`AxisLabel", "\[Rule]", "None"}], ",", RowBox[{"Charting`TickSide", "\[Rule]", "Right"}], ",", - RowBox[{"ColorFunctionScaling", "\[Rule]", "True"}]}], + RowBox[{"ColorFunctionScaling", "\[Rule]", "False"}]}], "]"}]& )]} }, AutoDelete->False, @@ -21732,7 +21203,7 @@ mq59L8WbWBfGzTwYJ+OmX8bBvJgn42TcjINxXfXE1TeveWWS18wbPFz24N3v P/tQ4ueBrcdPOv+9RI/bxXVjHVln1l3iCXOnV+53Qpf7f34bk/A= "], {{{ EdgeForm[], - GrayLevel[0.], + GrayLevel[0.006032273524050338], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJwtVEtIlGEU/SyTmvGfxz/OP2FUBD00aNViRkehkhoLtBDbVJCJhkLpxhbO @@ -21772,7 +21243,7 @@ g97q/9z7gnbUd/Mc/Zqif9UgvAbdn5FyuLbv9E3iZ/K6c80/1LSjTm8eo9bb Rc3Sd+gvd/8BXU2BTg== "]]}]}, { EdgeForm[], - GrayLevel[0.13052392356240913`], + GrayLevel[0.135], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNV1tsVFUUPW1vZ9rpdNrembkjiS01QY3xhW8TjfgGCgUqH+CT9CFPrUhR @@ -21854,7 +21325,7 @@ zbhWcTvldybb4+iTsd9aLz7H0PcRv7fM828H8RfGnv2q0c3oU7FrrRyUyyWx n6p/mP5lHZX+9yimYv8PE1MoxA== "]]}]}, { EdgeForm[], - GrayLevel[0.22160991415562525`], + GrayLevel[0.225], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmHuQ1WUZx3/u5dz2LGfPOfs7hxS8FaJjE8lNUwJCrNEwx0VRZ4RNCEN2 @@ -21974,7 +21445,7 @@ LNOOpl3tPwNVhY8= PolygonBox[{{6053, 1661, 4487, 3916, 6054}, {6085, 4461, 3482, 1651, 5460}}]}]}, { EdgeForm[], - GrayLevel[0.31269590474884135`], + GrayLevel[0.315], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmXlw1dUVx3+akLyXlwDJ+/1+QUABQVCWEEAluLTY0RkR1Fa0dVDH1hmD @@ -22096,7 +21567,7 @@ PgZ+zbNe18zQ7PgPn2p/Mg== "]], PolygonBox[{{6087, 4362, 3530, 2138, 5813}}]}]}, { EdgeForm[], - GrayLevel[0.40378189534205744`], + GrayLevel[0.40499999999999997`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmXm0V1UVx+8b7u/3pt/7Pe67v4tZGWAuh0IZnMERNS1UQCUVNMUnmvBE @@ -22254,7 +21725,7 @@ vuRTp8Rvfr39dcemRs455Z7u05OsXVjh2UY53wR9b+xZTDOaZrX/Ack+LfA= 3486, 3968, 6059}, {5468, 3223, 3915, 4552, 6089}, {6060, 3970, 3489, 1657, 5466}}]}]}, { EdgeForm[], - GrayLevel[0.4948678859352736], + GrayLevel[0.495], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmgmUVdWVhm+9gqpXBVVF3XffKyUiLdoxiZq0cYigJnHoRBAZJAwFxaCd @@ -22415,10 +21886,11 @@ l9XMno3uvZHfym6gSbUb23f9QzwT27fRadeefDyhXSPj2a0dV/848nWLYgD+ dNa+acfemPUM0SxRzXwYeSZpNqnHXAN+Cr0xnb2rqMdtydoX3XEz+Oexe696 Zht4x4Jnu95kWrUVu9co5hvBh+b876QeoV7xA4Y0+48= "]], + PolygonBox[{{6094, 3437, 1138, 1656, 6059}, {6060, 1658, 1141, 3441, 6100}}]}]}, { EdgeForm[], - GrayLevel[0.5859538765284897], + GrayLevel[0.585], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmgmUlNWVx7+u7qrurq5ququ+qjKYcQNFNncD8ZjRuMQYREERg05YNMfB @@ -22611,7 +22083,7 @@ yjXCmK31X0DkXko9inoV5WDlYvV0g4U98H2UmGvKXaOUQ5RL1HP1QR9UuEap NrXC5ta866DqoXo/zT2csU4+9B+e/svTf5An0f8PhUrQcg== "]]}]}, { EdgeForm[], - GrayLevel[0.6770398671217059], + GrayLevel[0.675], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmnmUVdWVxm/xiqr3ql4VVW+6KthAUIRWEhKqSkELhZrsToKJEtFgEoMx @@ -22782,7 +22254,7 @@ vHK3o9y1Ujk8L+u7qBnhILptWdcC9bT94Asi9171bPXu/wMMbfss 1478, 3472, 4292, 6084}, {6070, 4238, 3411, 1063, 5905}}]}]}, { EdgeForm[], - GrayLevel[0.7681258577149219], + GrayLevel[0.7649999999999999], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmXm01VUVx3/vvfvGe999797fvfenOBCoKIPS4FqlMpWFFIloSmmiK5Qe @@ -22933,7 +22405,7 @@ D1MtVnrWaudJaHeN7Us7jHaZobFl9Z9P//20U2q31H/Qf4P/H77qJ4g= 3421, 1119, 5958}, {5957, 1153, 4484, 4266, 6079}, {5928, 1111, 4480, 4243, 6073}}]}]}, { EdgeForm[], - GrayLevel[0.8592118483081381], + GrayLevel[0.855], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmHlw1dUVx38h+0telvfy8hSoDQqRMrWtC3U6UDt2qpalIoJVoKWgwpQB @@ -23054,7 +22526,7 @@ pmLvSs3khpSxUf90+rcTFjROercKE7rAz4m8+1VzW+TXI//LqGfTY++KGmgU 4485, 4281, 6081}, {6083, 4289, 3470, 1420, 5909}, {6071, 4239, 3417, 1103, 5893}}]}]}, { EdgeForm[], - GrayLevel[1.], + GrayLevel[0.9941095773317665], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFl2uI1VUUxc+Mdxzn3jt35s69dyZDIx+gRZgGmRplZL4+pZKPyvIxk4+x @@ -23138,6 +22610,7 @@ ToN3t2am2emN6q2qxj/QW7hvTs474zr3/Q+r9uBx LineBox[{4671, 5600, 5601, 5597, 5599, 5598, 5630, 4654, 5087, 5086, 5089, 5827, 5088, 5828, 4656, 5920, 4859, 5793, 4860, 5921, 4858, 5975, 6076, 6115}], + LineBox[{4939, 5237, 5238, 5236, 5265, 5264, 5631, 4655, 4949, 4924, 4957, 4956, 4969, 5359, 4913, 5358, 4914, 5360, 4912, 5976, 6080, 6124}], @@ -23313,6 +22786,7 @@ ToN3t2am2emN6q2qxj/QW7hvTs474zr3/Q+r9uBx 4706, 5173, 4705, 5858, 5174, 5320, 5683, 4828, 5435, 5436, 5437, 4833, 4944, 4943, 4994, 4760, 4975, 4795, 5740, 5741, 5461, 5462, 6086, 6088, 6099}], + LineBox[{5387, 5188, 4715, 5019, 5280, 5281, 4796, 5189, 4716, 5020, 5282, 5283, 4797, 5190, 4717, 5021, 5284, 5285, 4798, 5191, 4718, 5022, 5286, 5287, 4799, 5192, @@ -23461,7 +22935,7 @@ ToN3t2am2emN6q2qxj/QW7hvTs474zr3/Q+r9uBx "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, - "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + "GridLinesInFront" -> True}, PlotRange -> {All, All}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { @@ -23875,7 +23349,7 @@ u4fv8Y328NXPTfxjc7PO23v5v9y4+hdKD9ax+5oTDn/ijP7w9Rnbvmve/nn8 WCfr5juennyHdbFO8LB4NQre/w+THD8Q "], {{{ EdgeForm[], - GrayLevel[0.], + RGBColor[0.1, 0.1, 0.1], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFWGtwVVcV3jdwch+55557IdC8eGN9FApUCyQQC3RGgpUhNyEkFbAEKCgi @@ -23968,7 +23442,8 @@ Hv1PoH8D9fBF1nug5Ldf/wjDeWugtFD/AE3RPaZe05v9SPQbprdMGnIp7zdH b480o5rz/A/U3RLF "]]}]}, { EdgeForm[], - GrayLevel[0.1357999189207551], + RGBColor[ + 0.18461529999999998`, 0.19915007499999998`, 0.213893425], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmXtwVdUVxk8uIQnhnnPulXbGRwUBRbQVKAQU1NY6dRSCWAJJpOIDJPji @@ -24093,7 +23568,7 @@ rNyG9nb15jqE9qb0ttQTB6CbG1mv1D+C/hXOBvavpH+MAvSPpsx2LXtdvPUg PolygonBox[{{4195, 2615, 2924, 2121, 4296}, {4294, 2120, 2894, 2706, 4272}}]}]}, { EdgeForm[], - GrayLevel[0.2263331982012585], + RGBColor[0.238882125, 0.262018125, 0.284081125], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmXm01VUVx+99v3sv711+93d/T0jAaClmgZqAygwyOqSohZYCiqKmrdWz @@ -24234,7 +23709,7 @@ Pq8ueibULLgeyqE/tcp4X+Qbi14TVo/VTKfZTjlQB/4L1w8McQ== PolygonBox[{{4348, 2721, 2565, 2175, 4368}, {4366, 2174, 3138, 2631, 4244}}]}]}, { EdgeForm[], - GrayLevel[0.3168664774817619], + RGBColor[0.287576175, 0.316482975, 0.33934157499999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmHtwVdUVxg/k5iQ3996ck9p2RjRQeVlhrNpq25kWtdp2OuMD0HY6FQ1g @@ -24348,7 +23823,8 @@ jf8bPMrT22pv5DH8rfYUi935Uvv38GVrM7gOvN/XW2UzuhHc7elfyXL0mcUW PolygonBox[{{4191, 2609, 2918, 2115, 4286}, {4284, 2114, 2916, 2607, 4190}}]}]}, { EdgeForm[], - GrayLevel[0.40739975676226525`], + RGBColor[ + 0.33812412499999994`, 0.3722559, 0.39544264999999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmFtwVeUVx3dyzklyDtl7n4PXWok4HbBVZzo4FS8zigFahwjRsQ7YiiA4 @@ -24465,7 +23941,8 @@ t3/VTNBsKE1YL1XNXUlYjBVr7ez3QfdLWq9Rj+gP/j9mDcEy PolygonBox[{{4206, 2622, 2929, 2156, 4339}, {4337, 2155, 2928, 2621, 4205}}]}]}, { EdgeForm[], - GrayLevel[0.4979330360427687], + RGBColor[ + 0.42018837499999995`, 0.4502661, 0.46583434999999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFWH1s1dUZ/vW2vff23v7OvZcv9z2rmyKgfBhpQdBoS4IJ0GmQjyYThdKq @@ -24564,7 +24041,9 @@ mzhHHCAuUI3r0G/17Vus/yD6L6KZ0eyopiXk247/Xs+4Shw9FFiv6k5p/O8K rJc103ci34fPT2HjcHG5elK9qb2JyGeSxi3q8dPI/wM2rTIt "]]}]}, { EdgeForm[], - GrayLevel[0.5884663153232721], + RGBColor[ + 0.5022526249999999, 0.5282762999999999, 0.5362260499999999], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmFuMldUZhv89+5/Zs//Z+997I9DKwUMN0oIHIrSVdgDRmfGmWjlMo6Vg @@ -24665,7 +24144,8 @@ UepNv6Wd67qssXKuM+qsqpGBiX3Il/6BmmPnSLlSjffSv0jevUo19jZzx/Pu Jfqn07+d/o3+jVxL+kf6HxK3V+s= "]]}]}, { EdgeForm[], - GrayLevel[0.6789995946037756], + RGBColor[0.6050727499999999, 0.6224715, 0.6192121249999999], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmG2QlWUZx5+N5Zw9Z8/Lcz6UzQgGJrCsC32woNLpdRS/NKNgjVOTNBEw @@ -24748,7 +24228,9 @@ eEfkGa3ZXOEOduXuAeXUCv4Jn4VVrtlx8EPo2hLPFs3tFyPftfLdpv7mvf6r PolygonBox[{{4291, 1130, 2599, 3064, 4458}, {4451, 3014, 2563, 835, 4292}}]}]}, { EdgeForm[], - GrayLevel[0.7695328738842788], + RGBColor[ + 0.7120440499999998, 0.7199036999999998, 0.7047170749999998], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNV1tsVFUUPTPT6dw7M7dzLwg1Maadyoc1JoCgomhCAhQoT0VNABPBgAKJ @@ -24826,7 +24308,9 @@ mf8s9T9A/wLtzCD4f6ImCow= PolygonBox[{{4453, 3025, 2577, 874, 4345}, {4344, 891, 3188, 3036, 4455}}]}]}, { EdgeForm[], - GrayLevel[0.8600661531647823], + RGBColor[ + 0.7987852499999999, 0.8026662999999999, 0.7775599249999999], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNV1tsVFUUPTPtdIbb3pm5AqXih7H4IQESpkZplCb+WEqBiEUTaCtRNKT1 @@ -24892,7 +24376,8 @@ R34FOVWBa1W81cS1gWtbGm5nHvcCfyvSvHpSb9pRFfVLIv9X6Z+6OPKe1Js0 PolygonBox[{{4457, 3058, 2595, 1074, 4302}, {4301, 867, 2575, 3023, 4452}}]}]}, { EdgeForm[], - GrayLevel[1.], + RGBColor[ + 0.9129594355950474, 0.916160239761895, 0.8776958675986122], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJw1VDtMFFEUfcuy7M7szDBEPppoopFOlkSwFej4aEywNsEYo1gsGytj4q8w @@ -25169,7 +24654,7 @@ lffXJKkPykD8Hf3UmWdyKNO2VfkHK8VAOg== "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, - "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + "GridLinesInFront" -> True}, PlotRange -> {All, All}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { @@ -25576,7 +25061,9 @@ fXl/gnmGdv+vo1Y87t8PXB9mH3ziQW+9T/mFdULnR39+/S6XTB0OP3z//i/8 "], {{{ EdgeForm[], - GrayLevel[8.673617379884035*^-19], + RGBColor[ + 0.10369199911999541`, 0.10432619147657078`, + 0.10496948453616856`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFUz1PVEEUvU9Ddt/bt+9JTUh2G4QEQ7FKQ0UECipDY3Y3a2EBJBCgIfwB @@ -25605,7 +25092,8 @@ jG+AzsC8LPnmXT3p3WvOvOsOcoH9K30D2cC8FfQOzjzqznX3+iaO6V2L2VvR f/oI36H+wlmsb6IItsPmVX3+Af0mVco= "]]}]}, { EdgeForm[], - GrayLevel[0.1298745935818285], + RGBColor[ + 0.18461529999999998`, 0.19915007499999998`, 0.213893425], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNlkts1FUUxm879jHzn//MFKgJIiiPCiImJhoh9IF16SNIR8FQ7IJENySK @@ -25661,7 +25149,7 @@ sv4BQ/ivSfmua8czyGX4r4177pqh/hH6V6in6m1J4LPXzhQj/wMxa6Xt "]], PolygonBox[{{4252, 3047, 2462, 1332, 3737}}]}]}, { EdgeForm[], - GrayLevel[0.2204078728623319], + RGBColor[0.238882125, 0.262018125, 0.284081125], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNl1lsVVUUhs+9t5f23N57ztVE5clqqa0oxBEHQBMnfNAIKpaoSQu0dYrD @@ -25737,7 +25225,7 @@ XNCMbE/d2xXkI+xvZf436E3U27gk9ezozdTbWZ96NnQn0zn/1xpy6Eo= PolygonBox[{{3787, 1388, 2488, 2969, 4257}, {4256, 3060, 2486, 1386, 3785}}]}]}, { EdgeForm[], - GrayLevel[0.3109411521428353], + RGBColor[0.287576175, 0.316482975, 0.33934157499999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmFuMltUVhj/m9P8z8x8+1KbYJrV4UVohFRUFhKZia4rMcNEDBZo2qaig @@ -25823,7 +25311,8 @@ PZuaEs8azajB3LlrZh7NPcurE//7NNMr8d9W9OzXG/sfFVUE7A== "]], PolygonBox[{{4068, 1640, 2653, 2867, 4251}}]}]}, { EdgeForm[], - GrayLevel[0.40147443142333866`], + RGBColor[ + 0.33812412499999994`, 0.3722559, 0.39544264999999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmG2QlXUZxp895zlnz9lznvM8LuCMsrwty1szKRZBfQiakd38YGZNqAGx @@ -25912,7 +25401,8 @@ m/HZH3nGLS/6TdFbopzMQt7Nd3zBNmsTr9VM1Wxdh+3bBc8T2SgHykUF/9+C PolygonBox[{{4254, 3056, 2476, 1374, 3773}, {3775, 1376, 2478, 2959, 4255}}]}]}, { EdgeForm[], - GrayLevel[0.4920077107038421], + RGBColor[ + 0.42018837499999995`, 0.4502661, 0.46583434999999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmG1sleUZx5+eyuk5Pc/znBPpHHbsg1t4kUoDxhFAaLEtLSjUzYmZUAXU @@ -26004,7 +25494,9 @@ tNMfBlfi66GMd6N8Phb5X6qd/jbytsS56p+8DvwfgWr4Ww== PolygonBox[{{4223, 2237, 2624, 2412, 4250}, {4253, 3050, 2465, 1334, 3739}}]}]}, { EdgeForm[], - GrayLevel[0.5825409899843454], + RGBColor[ + 0.5022526249999999, 0.5282762999999999, 0.5362260499999999], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNWWmQVcUVvjPvvvu2++59lcQsigaUvQCVJVaRRStiABMgQGKhkoS1mIEq @@ -26122,7 +25614,8 @@ kXdx7YzaHbdF3k21w2qXVc6V+2eJ/xT45si7+SfAyNh31F2Vg5rINaha1A7V UbtY5N1dO7J25ZOxfekf1r/cruDdQDNfs/8/DrSkKw== "]]}]}, { EdgeForm[], - GrayLevel[0.6730742692648489], + RGBColor[0.6050727499999999, 0.6224715, 0.6192121249999999], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmXm0VlUZxg/c+33fvR/nnP0BMilWTmjLAVBMDcTEAUPupYVr+UcrbIVL @@ -26237,7 +25730,9 @@ Cfjmec9SzSzNriOxe1k9cDR2r9XP+m1Tz5VnvSftRTNad6y71owtIpdTsWep /glOg4/F/jfQDKoBX5f430b/JM3B/wOUmVv7 "]]}]}, { EdgeForm[], - GrayLevel[0.7636075485453522], + RGBColor[ + 0.7120440499999998, 0.7199036999999998, 0.7047170749999998], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmXmQVdURxu97vPvmzcy9774YxaClxkJKEwWNihGM+8aiwuACqCzuoiWU @@ -26363,7 +25858,9 @@ M/z40P8x9F9DGFCG7lDk/z6aiTQbHY38NoQxwpr/AMTs8d8= PolygonBox[{{3363, 2935, 2819, 1382, 3780}, {3783, 1384, 3059, 2455, 3371}}]}]}, { EdgeForm[], - GrayLevel[0.8541408278258557], + RGBColor[ + 0.7987852499999999, 0.8026662999999999, 0.7775599249999999], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmHmQlsURxt9dXL9d9j3WKKCkEjD5J2KVKAgsIhGRqMgqy3IqqByLCeAB @@ -26485,7 +25982,7 @@ VCm/0Z2UsFyWzXG/Y/aALwevDO3tqJ5YBf8/wClw1g== PolygonBox[{{3358, 2841, 2815, 1337, 3742}, {4225, 2300, 2939, 2458, 3564}}]}]}, { EdgeForm[], - GrayLevel[1.], + RGBColor[0.917794, 0.920966, 0.881936], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmGuMVdUVx/c87rl3mHPPGV7ODAPDU6vjeyAV7Qf5UmKMpYL4KElT0Wgi @@ -26828,7 +26325,7 @@ bSv/ "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, - "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + "GridLinesInFront" -> True}, PlotRange -> {All, All}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { @@ -27244,7 +26741,9 @@ fGTv/bPGT3lpIa9Hz1N2djqvKtd90TazafE6mS/0y6ILbzr/qM8K3el3Vw9q fSH8OuXEBa/s/4bwt3bgwd++e5D4I/8HDXbJ3w== "], {{{ EdgeForm[], - GrayLevel[0.], + RGBColor[ + 0.10378090839940428`, 0.10443037312837115`, + 0.1050891577199327], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJwtUj1PQlEM7fODe9+F52qiMrj6AZsCi/4G/4AfOzrpimAcFdSVBDVxMjHR @@ -27268,7 +26767,8 @@ o1Pqn9S9O/ALXys6t5tX4ZvRM7ZsbacB6k702yzDLvPL0efZ3G7wm+3WBj07 0TO1LMN/Nm/BPcuonnkOtmMNPoI4H13bI9vnxDOybOw//gOvF0eS "]]}]}, { EdgeForm[], - GrayLevel[0.12975041647800445`], + RGBColor[ + 0.18461529999999998`, 0.19915007499999998`, 0.213893425], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFVUtsTVEUPa73ue/ed8UAE9oSJkQw8ZuQdGBQCa2RaqLVqt8AE6p+k1Yl @@ -27314,7 +26814,7 @@ RHq7c44kmrnP3mc2Ta2XU+X2HpVSfaP+rfoOVvDH0Xsf6L/BZ/gfOvWU5A== "]]}]}, { EdgeForm[], - GrayLevel[0.22029661591959937`], + RGBColor[0.238882125, 0.262018125, 0.284081125], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFVktsVVUUPbz3et97992LM0lAQCUaRhonD6P2WWPSduAHpYrFARSoShVM @@ -27374,7 +26874,7 @@ K+7KZwh5Xcz+RnFG3KnAf6tnufTH/gNUCMXR "]], PolygonBox[{{3591, 2503, 2108, 1161, 3206}}]}]}, { EdgeForm[], - GrayLevel[0.3108428153611943], + RGBColor[0.287576175, 0.316482975, 0.33934157499999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJw1V1tsFVUUHW9779x7Zwaj8UkUiiQ8IvxI+6NgLAoKCqEFYhT1gwIFxVtD @@ -27441,7 +26941,8 @@ nWRv7n7PelBtnYlj4po4+wX/f36Uwdo= "]], PolygonBox[{{3593, 2479, 2124, 1468, 3503}}]}]}, { EdgeForm[], - GrayLevel[0.40138901480278916`], + RGBColor[ + 0.33812412499999994`, 0.3722559, 0.39544264999999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNV1tsFVUUnXtn7rzOvQUkKkiiwZTEYPwB/QACWBODH0aSkmgpbYFKW9qi @@ -27521,7 +27022,8 @@ P3RyAsE= PolygonBox[{{3210, 1165, 2112, 2309, 3590}, {3592, 2504, 2110, 1163, 3208}}]}]}, { EdgeForm[], - GrayLevel[0.49193521424438413`], + RGBColor[ + 0.42018837499999995`, 0.4502661, 0.46583434999999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFWFlsVVUUvX3Q917Pua+lkMigiLSIFkSwFCXWKQpEqTSRoiAKWhwoFCml @@ -27600,7 +27102,9 @@ ESDdNA== PolygonBox[{{3595, 2071, 750, 1166, 3590}, {3584, 2436, 2434, 1942, 3585}, {2907, 824, 2087, 2018, 3588}}]}]}, { EdgeForm[], - GrayLevel[0.5824814136859789], + RGBColor[ + 0.5022526249999999, 0.5282762999999999, 0.5362260499999999], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNWG1sVmcZPu/7nvO+b897DkYjOra4yEcLW+IGG+og0ZHSmTLRAElFwVBl @@ -27701,7 +27205,8 @@ taeen5h37t9h/yjjMyzOuafUS/pPMRVbb8w0+v+qe4Az "]], PolygonBox[{{3599, 2089, 826, 825, 3588}}]}]}, { EdgeForm[], - GrayLevel[0.673027613127574], + RGBColor[0.6050727499999999, 0.6224715, 0.6192121249999999], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFWGtwVlcVvUm++z3uPXdGGkqhqBBqqBUExhkoHWhpIQmUFAkUEFtnaCso @@ -27798,7 +27303,9 @@ M7c6unfUczXRs//zUs92fQP0bZibeLbrG7Elsy/15Fbw8mzQdPCb0gZujZ59 RNfiCtZOB+/I3Bu6407w7MTfBM1o/Wf4D6K4FbA= "]]}]}, { EdgeForm[], - GrayLevel[0.7635738125691687], + RGBColor[ + 0.7120440499999998, 0.7199036999999998, 0.7047170749999998], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmHuwVXUVx/c5+5x7zt2/c0zhAj4uCNqIaRioKDjXHj5TpsEpdOoPLQnE @@ -27914,7 +27421,9 @@ SurYifPF/UsT157+efTvo56n3qc1aqFfGZxr4iBx0YbEuaR/Hv37/AuQRbBu PolygonBox[{{2836, 2390, 2388, 1172, 3219}, {3222, 1174, 2312, 2074, 2835}}]}]}, { EdgeForm[], - GrayLevel[0.8541200120107637], + RGBColor[ + 0.7987852499999999, 0.8026662999999999, 0.7775599249999999], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNWHlwV9UZfUkgCfe9h2BJ6whVqUIIwrCpQQJCQMBQFGRXEhaxM21nwIpj @@ -28015,7 +27524,7 @@ DPU22Zv3Cr6zQr199gbtQ58J9F/D/mMUWX9B98bpjbW39n+XVCvC PolygonBox[{{3069, 2447, 2444, 1947, 3587}, {2909, 827, 2091, 2021, 3589}}]}]}, { EdgeForm[], - GrayLevel[1.], + RGBColor[0.917794, 0.920966, 0.881936], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmFuMVtUVx8/HfOfMcOY7M8NFhltrmjRpuVhBaQ03C7Y60ALaERBBbWtJ @@ -28344,7 +27853,7 @@ Z749dxdu1LOxVEQfuV00dw== "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, - "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + "GridLinesInFront" -> True}, PlotRange -> {All, All}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { @@ -28375,1267 +27884,857 @@ Z749dxdu1LOxVEQfuV00dw== TemplateBox[{ GraphicsBox[{ GraphicsComplexBox[CompressedData[" -1:eJydfQV0lccTL1bcCsXdSqG4Fh3cXUsp7lDcrUBwKBbcIQQNGkKQBAg3JBAC -JCQhQAJxl3uDFucl9+5v9+1c7r/nvRzO+Zi7++3uyM7OzM7uV2Hk1D5jsmTK -lMkrb6ZMGU/+Z1+5c/o/Z9Jhg4RDXSen//Nl5QESNheHBks4xPKDhL9+y/gL -l/AW8/tREq6UAdrHSPiS+fU4CXc0d5go4Wfm9pMlPMk8wFQJW/7SGKzw/P7T -IGHgq5cHSBj4Aga+gIEvYOALGPgCBr6AgS9g4AsY+Op8S2Ow4uP38VRPHV8D -w9fA8DUwfA0MXwPD18DwNTB8DQxfA8PXwPA1MHyt5fT7fFR48ifwBQx8AQNf -wMAXMPAFDHwBA1/AwBcw8AUMfPV5l8ZgNQ+/L6cGK7z0cvXU+RvA+BvA+BvA -+BvA+BvA+BvA+BvA+BvA+BvA+GutZ74/Dw1WfON4AeZP4AsY+AIGvoCBL2Dg -Cxj4Aga+gIGvrjfTGKz06Pf1jMFKLjnfOF6A+RP4Aga+gIEvYOALGPgCBr6A -ga++LqSRrXXi+3rUYDXvuFxyvnG8APMn8AUMfAEDX8DAFzDwBQx89XUvjWyt -g8CX602uV/i843LJ+cbxAsyfwBcw8AUMfAEDX8DAV1/X08jWOg98+brA9SbX -K3zecbnkfON4AeZP4AsY+AIGvoCBr263pJEtOwb48nWPrwtcb3K9wucdl0vO -N44XYP4EvoCBL2Dgq9tlaWTLTgO+fF3n6x5fF7je5HqFzzsul5xvHC/A/Al8 -AQNf3e5MI1t2KPDldgtf1/m6x9cFrje5XuHzjssl5xvHCzB/Al/drk4jW3Y2 -8OV2Gbdb+LrO1z2+LnC9yfUKn3dcLjnfOF6A+RP42vIjgO/37U5ul3G7ha/r -fN3j6wLXm1yv8HnH5ZLzjeOVZvW0jNdBPoE5YMtwjazc+j3Uw/uAbT15O/w9 -Pg4+bn1c9vJp4YfJ5u/8qfdjb/N33j/vJ5P2l2b1+/f7RTtujI7ejC7+ErY0 -GyThTub/PJPwX+YGX7DySCt+oV/+RP+A0T9g9A8Y/QNG/3p5pIQt8h/N6sdK -2DIf4iW82dxhkk068XHzJ8YPGOMHjPHrcKSEMV7AFc3vp9jkE6cbHwd/YjyA -MR4djpQw+rclF5xPHG/eL3+ifx2OlDD6tyWHXC44nTmevF/0Bxj8B4z+bck9 -l0PwDzDkDTDkDTD6A4z+AEPv2JpnXO65XHG+cjpzOuj4Rsr+bc0rLrffp0Os -hIE/YOAPGP3r7RttzmNOZ94vf+r0j2X0j2X0j2X0t9YbnK8cT94vf6J/wOgf -MPq3pae43HK54nTmePNx8CfGAxjj0WFvKz3B5y2fR1zOudxxOeB84XTi4wTM -nxi/rXnG5Z7LIZcLzidOJ96vZf46W62P+u+wC5yYfoe94m0F431d3+PPX5br -ejlTJl2vOjO9mSmTrvecJb1QruslZ6Z3EFeKtmEfOEv66u3Fyvr6+86S/qgP -+ut6OVbWRznqgz+or7/vLPmH+uAf6uvvOzO5536LgyzX562yIyEXnM+6/WGw -spv0332t7BKUW54BVnYCyi31g63WcZTrcT83tg4aGD8NjF8GNl+82XzxttIj -ul/nZmW3gl5c7v/3vDDIcp2OKi6Pcr2eL7NzfJnd4cvWRV8mz/4sruLN4g7e -TD79mZ/uzeTRn/m13pI++viNjM//pRcMslyXLxW319/3l7/r8hDA5CGAzVd/ -CYOuuj/pz/xJf4k/6uv+pb/EHzDw53rtf+s9g5U9q88LX2bfBlvZsfhdXz+C -JX9RDzDoBnw5fvp401g/RuJ6+X/rbQOTWzc2r31t8FHZhdDz4BcfP2CMXx9P -GrPPjbL//1pXEJ8AjPgEYMwvPj7AGB9gjE/vL41srWN8HdLpG2mlB7le4POC -ywn65TCPQ3G7iMdtbK2rGD9fN7me5nqLw9ze5nFebnfzuCjK9bhjNIvLKTuP -x6Fs2QHAj6/zfN2xtQ5hXnG9xO17Ht/m/gaP+3K7n8dJUa7Lo7JredzNll0D -/LndopcbrNYZW+sw17uYt1xv8XnG+czj4dwf4nFi7ofwuCq383kc0pYdB/pw -O00vN7C4j6+VXcL1NKcXL+d6keshPg+4XPB4OvfXeFyd+208Ds39Ih635XEv -bvfyeDW3a6HXbdkhfF3m6xhgrqeh57h/yOPz3F/k8XruP/L4PfcneTyf+5c8 -zs39PL5/gd8t9IJfZ2L2KfcD0ph9arSy+7C+cHqjHOsNp7+uV0Ot+MHXRb7O -cL3M9RSfl1zOAOv2rJHNUxX3ht+k0089LXSwZ08ef3ayiuPrsLPs7/t8Uu3o -fpwDq2dv08/D7zo+Jqv9Clv1AOv0cWJ2CcZhJ8r30hTzf9Q+A97T9/kd2D64 -A9sndmD7qA5sn9GB6Q1nNl61L2HB05Wtawbi6xbX0zq/DCwu6MviZL5Wel2f -Z77MzvBn4wlg/Qew/tW+Obcb+LwDjPmj278OVvkU3P7k+QrcPvvffLP2w/n+ -P7d/bPGd0xntcT+O769ze4XvT9uKq0Afcr+X+4Hcb+J+iB5XcJLzR9dLRjlf -LP0cI8wn/M71EJ+HqIf3IPd4D79b+GWUT8xXXb7s5Dgwf0E/fT57yKelfR8J -m5uv/EjClmn3WMIWuQux2Q5/8nb5k/fDn7zfDub3YP9GCvrCXoyW5YDxRD2L -nCRIGPUB83ou5oEkSRj1AfN6/In6gDFuPk4+Dt4Pbwcw9CNg/jv0JtYV9A8Y -T9SzgLclbJGbBxK2tBsoYfPwvz2RsEU+n0uYt8ufaN9Wv7we+rc1Ll4P47M1 -bl6P4wE6AuZ0tPAP8bcoIfex8olywBY9HC+fKAdsaTdRPlEOGP3wdnk7/D3A -/MnxhF6C3gCe0EuQV11uouR7KNf1WJysj/GiPspRH/KO+sAH9VGO+pgPOl8S -ZX3MB5QDb14Ovuv2h4ccH+QQ/QPG+KDvMB6UYzwoB51Rrut5H0k/yDH6A4z2 -AaN96FO0j3K0j3LQHzDwwzxA+4B1uQiU7UE/A3/AGK8+v0wSxvvQ55AvXQ6d -pFzpfIuW9fAe6gMv1AdeoAPe53TA+8AD73M+oz3wCfW5XOh0irOiE/oD39Af -5yvaQ3+oj/5QH/ignMsJ6K6Pz0nOA/SvrxtKDjAvUK7PCyPTvyY5XpRjvCjX -5c7I9LVJ0ku3m5QcQm5QzuUM7el2VqCEUR8w5InbdRa8jNKewhN6ETDsKr3c -TtppnM+c7qCXTkdfCYNegC3vBUgY9AJseQZLGPQCrPvvrpKf4JOlfYOV/uJy -x/Udxo32wAe0x/ny/8snff6o+c/zubmdZWudAszzo7ldZmvdAszzjbkdZ2sd -A8zzd7ndx9c1ne5OLO6UIOUM9Wyte4B1f8nVav7ydZHPN76O2Vo3+DoAvgLW -/ThfFh8IYHGzYJa3EsrieqEsThcu5zWH9fMI8Syf3yhh9Kfv0xqt4v163k60 -5Avq8/xxtIv5Cr6hXT1eG8f0s9Eqn1uPf/owO0jREfpFnyfBshz6RZdjRVfu -l4Gu+r5EmFW5Trcwpt+jZLk+z01WfNHnscmKL/o8NbE4g5HNQxPbTzeyeWbL -DzfIdUFf75wkP1Cur3dOkh8ox3xBOfiBcn29c7KKC3E9qZ9DwvgirMotsJss -1/3uKFkOPYpyPc7kJvUkyvVzJG5SD6JcjxO5ST2Hcoxbp7O9FZ319Qvro7ek -J+aBLl/eEh/d/k6WsM4XX9k/56PujyKf3l/yC/MM7QPW8QuQ7XM5AIxxo75O -h0CmfwNlf5jH6E+XK3srudLXX39ZH3hyvACDf9AL6B8w+tfl1t5KbgHjfegJ -rBOA0Z4u5/ZWcq7DbkwPuVrJPWD0p+shNyZHrlbzAjD4hfrgF5c7wLr/Hi37 -1/WcG9ODrlbzDjD4oce3uF50Y3rT1Wqe8nEB1tftBNmermddreY1lxM+Th02 -WtmdfB5xOedyx+XIllzpcUWjFR84HfV4ohon38+xPLFftFfQ4TzTc/aSfoB1 -PWTP9Jw90we83JnpGXtml9vL+f39cmepRwBjngPW42LOct7wecHllMsZYD2u -b8/iXq7MHuR+q5NV3F63exwY3tZ01/Wnm6SnLT8J9Ec56I33dT/H2i8C/VEO -+cX7oD/6hTzz9VhfB0xWdvp/yRXHQ18fXW36qd+nW6Ash7zweBXa1/0rH7YP -o/wIDnO553LO6aqvY7b9auDD1zWUQ28AH4wf9TF+wPDnQBf0Bz7r80Tl1XI9 -hvfRH8rRH2D0h3GjfVtxAH09U34HYP1cp7LzAet5FyFWfp2lGyOLs+C89XPZ -HvSwnoeh/ALAeB96Rs+HimT+YZR8H+V6flE085ejWf5QNPOjYmV7KNfzbeKY -/o9j+TRxzD+Nl+3pcXAP0uPgBhb39mD+pbXfz/NS9P2qFBZPMFmNh8fheRxL -z/eyjgPx9Rr19Xisytvlcg7Y0l2QFV58H4PHOXh+E34HPbhfx+mh7ys42NxH -AMzljseduBzxuBKXCx434nzjcSE9bmJi9DSx8bnKeYl1A7C+7piYX6PyifR1 -JVCW63rHWg9wOdPzL6z5oOdj2MZLH4+JrSN4T+VX6evEeRm3BWxpZy97qjwe -Tkd9HeF5LOdl/zpd1P4+6uv2ixo34syAOV6WftKYXanioBi/7s+rOCrk3FZc -FLC+/+fA/Agn5u+rOCnq24p7Atb1joPNOCdgPk+5HtXzyzxs6lHAPO7J5wnX -e3wfA/V5XJTPE8A8LsrnEfCyxSdbeOt0N9ikC+cL8OR2mq7/FV8s7R0S9DjJ -/B74C5j3PG/OTfIR8wewPk/5vAyU81enk73VPj3sBL6OYX7o6xA/j2XP9Iad -rAc6Ag+MF7/r+sBgZeeBrpafH0u6A8Z7+r6CNV8tfIsT9uYtto9gbUdY+JYg -6+vzyY3x1YPNL3VfG8YLSuj2ua9c1/E75gOvp8cxvKVc8/1w1Ad+6F/3Bw3M -brjN8qyVX6z7ZZkyWejxSI4b/eF33W8LsGnHoD9bfjTaBVxZ2DdoF/zX9UWw -hLldpPPPlp8eIGE9Tz1YzgeUg776+7b9fN0fUPdFuQq7R5f/KHb+JlbKM+wg -wJALtM/vZ9LtcV/Znq6X1X49t/v5+Qv9vEACs7sSrPZhMB7dzo1lefyxzL9R -9y3p8TV17g9yo9tJviw/IUCOF/KJcQLmfglgjEdfd01sHUxj/TlLOYHc6e8H -svUhwCq+x89t6Hn0CbK+fk5EleN90JufV4Ae0PeZkiWszxNlVwJf3e50Y/tA -rszed2awQfYPvcnzJXhcg8cJuB/P/WruF3O/l/ut3O/kfiD3g/j5BI4v6IZ1 -WM8nPS/fAz34fjHKIc98v1h/P4DZ2cES1vdLjSwukCbpoeOhzhvodpA6hwH8 -9TxMI6Oj0coO1+8D8Gb5Fd6Sf3r8zNvme8jT1vO+kccazvRcpIRRrp+7ipQw -ynX7NVLCKAddbNHV1rj0c21hVnTX13XrcQPW4/FxVnyDHEJf2sITMNrT7f40 -5oeofWFbdNH3/cOYnZRmFU/4vt3hwOwCB7Zuq/1dwPq6y+9D4PYt399V8WHA -+rrpxtYZNys9CH0PPDBeLt8o1/fVvOV4UA6Y73uhPvDHuqifJ/Jncuov29Pz -hSNYXtwLFkcKZ3hFMHsswsou1/epcP72mWwPMN4HHoD1+GuUlCPwAzD4ARj8 -AAw66XhY0xXwf9HRFt10vgXZpOP/pluEpIstutmiE2Ad7yiWJxPF/NQolhfz -/05ntKvbyf/Vj7XfChjlmJ946r/bs3XUQ/ol+vrI/RQVB0e/GB9gPS/W2aZd -B1j33+1knMnyvMr2ldwkHvhdx0vdQ4JySzvwbzyZ/jJY+Q227CjA+v6fOgeJ -clt+J/dLMa/w5PMC72GdAmzLz+B+iD5v1X0dGC/q6/z1l+PA79wPRT0+b1Gu -n6MKsOknANbXSeiNZLpsHu9DRqdgqX+4voSe0H9Xfi5g6A/U09eXYBvtRMhy -jM8yXnU/h35OyV/aV3oeUIikJ4d1vaXur+B2qO5PhrF7DpQdA1i/3zaM+Zdh -7Bx8GMsDDGP3qIYxezCW2VHWfjWvB/mAXtDPKcUy+1vlk3O6cP2JdjGf9fzH -KKvz///ld/NytM/zXrnfyP1K4KGfq8C+Q7yELfXUOROev8LjYjxuhn4wH2zF -pbhegPzxuI5e3/p+Xd2uj7UZlwBf+bk2vM/9bD1/Npn5P4kSttTj90mo+4B5 -HIfHRXhc4r/8eF6un7c32vTjLPQzWuWNAA89LqPiAoD1fT2j7B/llvaUf6iv -pw5y38dSb69sB7CeV2ovYQvowuo7yfXZ8vsxlh9xjNkh6jyDfu7bwWY7KOfn -XW3hwccNOuhP23EVvk+px2k8GD0NzF9W66+u9+NZvDbexv4Mjy8HMX8oUI5H -h9X5bh63wPyG3NuKa/O4N78v8/vnmdT5I36e+vvnkZS9ys9LQ64t7Z8R6z3f -XzzP5MLZKg4EGHIHedD3VexYu9AXqlzni5PkP+RRt0NxX8F1ub9h+d2TzRMf -Ju8+8n3LunaH3X/tb2UXoD3YS2gPMNqzoO3P6PpA0l2XvxRpX/FzWDqfAmV9 -2Dvwq/gT/hXiB7CbED/Q4ybhEtbtCnX/q36fUoCEgTfkF3Kp38Oi1n20p+8r -B8p1SrcnYpmdF8vOh8XJ+pj3sE94fqqeZ6hg6D2s/3oeqDonoNs7av3T80ST -rdYFfX9f6TX9/gEXOR90/vtandsADDyxTvN8Kg6D/5i/HAZ/9PPCyi7j+U/8 -3DHPf+LnQqEH9Dxwe5bHrc5V6+tDNFsP4pgeS5Aw98vxPvQk9Iu+Dqp5oOeJ -qfwzzCsdf3UuRb9XxCTlFfqQnxuBvuR6UC/HvWtYX2bIfmzNS8wrlOt8C2T+ -gvU80/2GZ5KPkDedTi+kHOl5PseYX3tSrie6f67wh97U1wF1LwGeWK8A83O4 -+v0q2B+Ok+sB9K6+/6v8bIv84B7i+2zfNtDKb0V9y3gCpNyALvyJ+cDz83U/ -Tdnt/F4A6Fd+rp+fn9P12AtpL+nrwW2rc1/QO3q8zke+p8/vUKtzYbqdE8nm -X4RV3B7zGeU8Dq/npUSw/dVIdt4+gvkF4XI+chjrE9rRz2dESH2o7w8rfaiv -XyYrvPV5GCH5qd+/Fsf8+zi2Diu66OtVJLNTI6z2ZzF/MI91/fqClUey+aT0 -ra4fXKX86fo4yep9rm8tdFLnmHT7LVDKJ+wazFdu93K7lp+DB30BIz5kGY/K -R8E8tIxb5eGgPcBoDzDaQxwT/fB4k243Yv0PY35mJIs/qHtq9HMwsYwOkOdY -KzsAsJ5vq/ILsb5AT+v+pvIDoZ8Bg38WuePrkcpD4HkNmDco1/0elTeg01fJ -MfBGOWDgCX5yfQl5svweL/OdAEO+9Pg3/MlEWV/PN/WVMNZbnd/KvtXzLAOl -PtH3MX2lPKM9Xd+q+0wxv8BPSz8u7J4nZ2lnVhbrl253BrBzD1FsnY+WMPrX -6Rwr6Qd/C3Yz6KXLwy1JT9SH3Yxy/f4SxR/oB7wP+PKvrYwNi6nvo8JOetX7 -StmVyRfol7o5T5f+Q93b3Cfj595PJbyIGg691lmdQ+gXfXTv7fIREsZf98Zr -Ww+P9ZBy8c0w+tTwfuq7nS8yXjuvvmtZrvy/e/J0vijX0TU/ne0YucCFzlaJ -WX7gQYhsx5js0aRSF5U3AjxiP518GdBdfff0feiTZTM73KaStV9Uzr5M3R8O -fUS9Phef+US9/z6yfkruzeo7mtX/3GR4+8t9WZ41ZujMChPU9zY3p5f+uUl9 -d7J+OlXyZlH5Y7mfHJnWIrfKH6u07VGo8wB1H0OWX1cXffZQ5YcVvJcweZCT -+m5UTef9puPe6r7mDWE7LjX9WdE56ecMRql9njnTS+WLqKn2WQK6jyz4exO1 -j1H8es1Js7upuL+Z/DMipN3R1cyvCBq3JTWdxWFW+WjpjbncnaPuh1gy0X3W -1uIxtDt9lF0bP1Jx+7tzbhwsqb7Pl+hfMfTD39bf35s9PqMjdQ9r9dR8N+rs -jqLZLTIoZ52vZibfnRiK3NfIf0LWM3J975fOlS5eKm4FfNORS+8hhtwOZkiA -sssfrHSsVmSc+p7ey4bF7I/1U/cqv/8lg/Eqbp6p9OF/wnZY558V7/r3hZhi -8dTSTK+zVvf1mcXh13ii9X/Ffzr5yOp+vjoZ02x0PP0xull4zw3qe3dXM6bb -lf/re3bm91VcF/2b2Tc+kcoNHHzhZspZq/v9fjlyecyZjYn0UxmfWHJU35f7 -Ide6cqOMKk7tOO5i0sxLqex9ZyrX0vNspqvJdMJMr3PS356X43W7L6VuSXht -BvpD70n4wYSs+xv5q3ys4D877ekzXX0P7kXPDTunFFLfg4tvE7Bt3UX1Pbj3 -6Vqgb3V1D/cisx5Q34P7tqFXh6m+Kh9rhXk86t7iXMu2t13/V7JVPpZlPin8 -zOTJpeKg/3RJytbgRxXHtMwvFZess+PzSJ/aRjJPgxsqz6fN8Nh0CVf5Uuj3 -n4+N25S4rvo3qwtDKi3NeuLcuTrO8tl0x8TYfjcf057Z40yvCnpQr+f1Rh5J -DaElUwMPful0i56fbHk6aLSPfOZY0be0qV4q3Z9tZ+ra+hHtEO/9JtpZMW5W -2vsRqZSwcoD7ibrBZCfa6SPaHb6n0aoGi1PpdoPJeSd8DKEAt4+XGhWIoSEZ -aHwII5/CT2OyrYmjqt0+DK41KB3PT9/+GRefQNMfua4+tTKc5lc+5/xXi2Rq -GWp3dtLBcIpZ7tvw342p9LJXtc2Nz4fTO6fki9nCTJQ48Mm4XO7htHHx42tz -9qaSi/e48Js1o+hRwKitR/aZaOS/p6vcjY2koaJfjCPzurBuS13iaOqY7dcG -T4qhu42qbnF3TKebY5ZO1Zem+wNiXHfFOFEP722vPqf27QKJlDV7zf0HvePo -y/0i/tFO6fNnWNMSc/zjaJrAA3ihHt5bvHBS9kwvkih5QMVZoVsTqE3jipO2 -XkilssZNHbqUS5R4gw6oh/dM+fcXn1QjWT5nNXBr1CBdHqIKzHAskD6/fATf -sgs+xgs+LRd8A1/ApzRBV9AZdARdlwm6+Ag6AU/gjXEDD4wD4wKf3gq+gS/g -05Td78st+GCkYhPmZBo6/hAVEU/83mVpubjJweq5ocbqUVffXqN3BRY5VBt0 -mHYfyVs8urU3NXlfqtYbr4O06ffG7ifePaRd+bpn39RxHy26vKLgYZ9Acqh1 -NfpOjl2U45e5S2fkeEr5j7rt7uZhT6minbWi3YvP6v78YHAsHb29vVi1Djco -85RdR8Mex5NXh1Nnb91wpwaZ8vz5onYSfdy6qNriI9fo6A++qXHtk6je2aHf -jqx2o05iHHvFuCJv7+31joKozhhj/ruNvGl8wKVyL5tGkzH0050BBb3p6HJT -z2y9o2l906CYxj3uUOPqPy3NsymFRiYGdhqd4E2OAo/NAq9CdfomB3o+pe3N -hrRb3tKPjk86X3tglqd0+OdZJZpVfERVLle/V3V8Cn2q5OfSpp+/xBt0wDgw -rgkd871o2jiFdnbbd3FMp8eSLqAT+kG/u0U/50S/fyTH1g47HUFVIg4v/Fg4 -hP54eS/7jBrp/vL78sP/HfKMUgrUNmR5F0VdqjU41PZYGFUU9f4U7yULOowT -dNkg6OAo6NJBvJcq2jmV0n5m1JR4qpWOZdDXaOre5s2Ok88TaWdQ8YhmmaPJ -QfDNRfDR9232zxWmq6dB8BF8RTto99WOuIiVj9Xz4N/9sl2rn0ILGxrCpx2O -p4LbLHxvLOSgjuA75MBF4A06YFwYZzUH/95fh6XTe/Hqm8+KJtEowWfw/aPg -G/gIvoBPGAfGhXbQ7i+NpnfOvkI9C4bZH/h51lo6JOyI5rs+dGmy0Z7Op3k1 -br3ZiQ61d339JeiutLs+Z5i5I62/K1PcbJCtIfNy+ZO6R6vZi4GTi01NoFmH -d8wffG4Hncp4vaDal3/VrMjIHruS6P6fBX4tcGaP9Hsd32yfMO3Uair2ePtD -N+8UWnuvfMzrrAeo3ZDqLlPPpNDdImeG2m27RtFOG7p9nGAku1nTtob8+Q+t -DKxzf2JBE41ZY6jz0OsqjVwx7nRYDXWef9qAxWddR/qxeIU/HTbbM7eo6Zy9 -oy43Uee4fxrvV3JzB3XO+if/dk/T3ii7d22Q05qu5eKo9docXc808aLSn+vs -q5TOxzUFmm+avumuXH8t6/ZNKr7y+Kqd1U1Ut6DTXO8DXnK9z51hjjW7Q7mG -9wnL6mn9fSL8Dv9uY4YZ8scDWlpq7Mm5b6Np7OSydz9HPKBSBr+2ZYepfKVy -o0+k1JmtzoHtdxxid61YAq2YvPZdkcN+zB+4Q9VPDGo54LA6n/+qS/3KK7uY -qOD6Q10c2j4kw98WPnO6AQadQPd3pjUbqvrFUsHyxpjzI4LodJmWZ7ZdSKKk -ASeM428FSjmA3we6zjLb5+oehWaCL0dGv3/gsTqBvt6tf6Zgkac0asjzDlnn -qfM0aK+38Bt3meXtitV5+cIaX32ln7ZE0BV09utVpmaecel2wlCvo4l11Xcc -ngyb07Ns0RAaYnZMVD6R5WGkJbvee8+fqb6TDr9m15RCyz3uqe++DBftPhT9 -4HfUQzz43667Xl3+M4omCD4vEXyPmVSrcveTCdL/R/2YdvV6VI5W8QeLOxhN -S8Q8xLyE3EKOwSfwjftRaP9Ri/snN0/4v/Is4jMc4FgKEPMY8xr87JVhdi9P -oJVC7iCHmCeYN+Ar+Hz/377pHv5T6X/MEn4bzz+KFnQAf8ame/t9qiZQ6MOM -BtS5lUyP5yX+XDfJKp8o0/hJOSnd/soxIH+Gqa7y7oTeKSr0EOSrVUYYIm8S -3RZ6Ss8r8CXHDHIfSaJ5U4d2b/7rPVmeLOQe88D93uF0DavyhfY4VLr6eXUQ -yz8PknJ+x+Ioy/Jv4yzj1vPd4yXed4SehN7E+M1kyJlCzQf2Xl/h3lU69SFs -eEQBpZegpzDvoQcgz4EZw/6i5JLLHZcTwLdbV2k8ePhJqtnSefs/G0208p/K -T9u1tT6fXk3ooTMjXMK3xat7+C16VOmtoosH9F1dU527fWqWc3UPJeYhyi16 -Tskt6AW+W+adyhea7rJyTO09Jvoo/DGqf6LhxkkmenNoecqnDka5bmIdxbqJ -dRR4GgTen3+YOLdkcZWXs0qsW1jH0A/6RT/oF/Rv/yFDER+hWxeXl27bwfp7 -DmkXMwIhp2j2rX4Dmk9Q3wmo7ldlc8N/1HnusOfvfGqdU+e1Ea8evW5jzKty -BhlHkHEnIWeQa9AVfET/iMsEmuNA6nsLiIvAr0V/Z26mHGheI0jGDVCO/u4u -HD7Ps7U6f31ayAXiIoizVD209nxkovquAeIciHuA37+b4x5PyG3W1uLZBvB8 -H6OUK8Sl+HcaHmSow4nqXIeH4AN+1895OEg+gI4lsmUInPqeA+j0fT4ZyLnW -lCOZ3WNpqOCLvq/jTSXFug86ohx0AF3Qfrjg+3hzvMvL6juFsBtAJ9DNR/AB -fPm9ZeEX3d/tpVl1zza+Wu44s3fOSX1jDtdlM1L+scW2dC+f7p+XXvlXto1G -uttjjsuDcDf5dMwVlXm34x26YlwwPV+m65R7+8JWZa/70w8Z5vTIGxS0aUcW -T5/HNLbWsnQRuEm9r9k1z9sslL6cKDFwxG/u5C7eOybaySreQzulA+q1fNNP -PeeIdvxEuxN/epXDvYx6ol3081vFQ0WL+yTRgW0Pbh9wTKD94tlE/J6Fno6Z -nGSkKSU3BXY6nCKf+N3/1AfDh/JR1DTC/fi4IrOoyFdDclT7dLlxj6uWu4gD -LfJoPOVWVwON+fPnLkN7ONOajh6xwXa+lNLeeGz0TGea0Xr9g8LDAqjQrt5L -Ig850zfXj1OdvgXT5c7ec0qFONOuGXVaL3UMpX8K96vWpfJFGi7amS/abXt7 -/f6+PTzls5/jnNr25x9Q7kJ94r6tv03GMz4pKyY/IMc5S44eDL1NL0W/68Q4 -UA/voR7e+/D6qJfHjAA62b9qG5OHrxwnxo3fUa9iw8frOlVLl6/kNmO/7QiQ -eAAv/I56GwVeuwWeLVedr/P4iYmGncq7IO+NUGq4bcSQc2Hp60DWBb80nRVK -fwg6g+6egs4/CbqXr5xnl8eZZHq6Ja5HrbVRFHqv9OPX81LomcONyPkjo2h3 -xZ/beX5KpmiXLhv6l4+lmiFT783MlUIlrrj8XbZULK3tnxZ071iifKIdtIt2 -0C7aQbtoB+0CjxYCL+ABvC6b9Z71d446mPcT7Alxecy77Du7f02qE0PVVtfY -snbgGrG/EkOGzj0LX/tnP9Xu6VMvaUoUHfbruPHfkhcIcXW8P+qr8+ed3eKo -VVK+9pdDtlD3W4aZZfrEUV33Rbdajd9KG8b2PRJ2JYY6Nmm1b95PF+T+2OcC -JfMevrWZ8h9zjupcKYHK5+w76KXjdBpy5KeKx7LEU5+5S34bUeACnfq4K7h7 -t0SaF3n05055LpCvb6FmYduTKdPi8tsTc1ygIWmDH2QJTyUff5fCq0/covnb -jtztZogl75yfvyTOMVD2on23/uiTQNuKbJpQ9bInzYwferB/jniK8hvWpNiN -e/R1R0SHeYPT7b8ji2PK2hvoYdtfP+0IS6UeRfYdvfvwHi3PCNfGR9PSul57 -NvR7QFlcWt+f/GMyNTKUKR4adp9+yHui7oJeiVS0bptb/V4+ojeDupdxfW6i -R+Mazn46w48K/5j2tHB6e22vBrtd/PiIXF6mTp3hHUPTArd8ehTxiB5+Wbq0 -/chkyvfkypSxC9P9n81P2lefbqImWfdk9x8bSJVKvvlwfbSJJi5eUNxrcCAF -vZ+bMu1FKsXWG3S1zcZg6lC0cZadBeJpe+nK5UvNDKZDF3vsfn4qgT4HZRhw -Tymyu9uzwwdM9OrR6KzVDzwhs9lQ2ETmcHPXJ5Qze+P8h5+n0qERk/f8WjGU -HASfwXfIBeQEcgE56Sz4+o/gczchByOFXBQRctBNyMVCQcdlgq6gA+gyQPAd -cvA1h0UuICf3BV8XCD5HCj7OEnxNrv3hYadrnjRt0/smne+m813QBXSCHEGu -Pgu+Qw6KCD6Crw0Fn8F30BV0ziLkEHKZX/ARfIVcQk4hV5AzyAXkBHIDOYoR -fAbfmwq5cBJy8peQC8jJQcFH8PW14Dvk4KLg+yUhB9i/nlf74L+v5psoq9j3 -wzqNfT7AcVezOa96ZP1dsqVlfhvXboKJhnzKcaDCbgf5hB6CXnIo7doz0W6f -zE9waHDox46VkujNu7n9PIwzaPToAZmHt02hw2Y+Lqc11SKirzj4UMN9fVKu -PblMN+3PX1zwUd1TmP/v+R9n7XhEPqVrL3rvcIUeRg0sF/FI3fv36Y/3rU+N -DybjpMgcJx2u0m+LnsTYHVP359eevOJX/+6hVGvz3VKljdekHXdLxAWOFBl4 -qspCdZ++x4H6pWq986CYeC+au8aLbi38s3rvD7dkPsww90HTc/ZIt4u8shfd -3tCbTvT4+9qeGUm0KP/upmF37km/D3Ye8jrKi/3cMXX/etTWdIsC81aicsdU -HGqGiEu1nPm5xYHlt1l+W5qV3/NE+DnzBV/B50NlM/ecO8OB0hwXj92Ubo8u -Fn4CvzdqzjH/+RuGRNHH1FWLmjuk0ASfFknFBkUR5erc6GAPR3rapc+Cl9OV -H8HvkXpz4+WlcTtiyC4ga/gp3xRabn7G0IdfdrQM9DxKU/YXvW84ou6RmvGk -0KvWfiouiDhhhYKWdQLrxtjSC9IOJafQx1aedl4N4ilh6a3eDdOO0bK8NVtU -CFH3Tr001a9VOqe6BwhxxfmnZzvk/CGVDr7Ncaf3zvR1ZWDxQ3Xij9Mpz80l -gwure6em5uw/8V2rZLrfvHGdeUUT6Phrxzy1VyRTjlX560TtT6JexevPn2VI -pslFypR6dukEDdlXrUrBXuq8ibF8BgVTKUuZi8F/L7lEx2v1mOIwy0jdXrpv -P37ek1Yt+Pr2n2VGevK829tvMdepVanbz4teMNHbB13zLNx5n0zx0ac+bzbS -7JpLrkbPuEMFCw5cUjHERBW8AsYtuBIg6GeknhMH5ylT+glNmLo3b1E3I5Vz -zVY/ckYo/WQssP7pU5Uv2Ov6IIfxr7wlvNx/eM58q/wlPMSw7Was/WNptwfe -/PFewuRnsvy3DPE6GCLhwsc+19x5Wt3znnhxT9O/rir45LiyA899U+f2V3lk -BDKiZfnQ2abNJyqqc02fvOyH1fgQK8szvOzD7ePke2jn33EDchc9EE2lLiTU -GlZH3bd/d/OWbHvHJ8hxo93ag7d5lFn3jLLmytwjaWH6PNv/raRf7DOaXHfp -jOL5kmW/8j7BMs5PskXEksvYdp+7z1D37y8+MLLltvVJ1IfRsda3wE3rWt2h -pZP9/9jslEJlR2wpsT7xLm0emqtIv/qpVnT+nPfBlN01H1FKv16u+cunSrqj -vNSboTk6vnpMppW9Fj3PnmpF90xl6n+K8gqh/DvO/VQ/TvEB5diPO3lo8Z81 -r6VY8QX7abdumbJM+GKkU4JPKM/eM2VhyXeR1Lrtbw/m1jJJPqH886TbNzt8 -jqZnFevt/ZKu74Nfeef8+WM0Zb19LGDzTJPkG+q3drw+t3apOPqnUZTHLUpf -Xwz9fy0bG0sTSoxoc/2RSfIN9UOrvfLv3yZ93d75YLVnGZOkO8pLPPncZPXU -JKLym4b6ZzbRpBFLDfuGGSjiVEjdBqWd6eqKso1u971NtY8eqHBk5ikqvSTQ -ubWPLxXctjg6v/0Fmr03atGyLg/onWvp4j3dT9KoM7uW1lsRQN0z53mW8ucF -2nf6xatTpQIpbnTqjoEvTlC7IhXCzl5T9zWUvdwraXmZJ/T668zbvq0u0PrG -l+b1Xf+Ems8sdrjP3eN0uo5n78OZlN/vd/+xXVWXULpx/8SbEbUvUKHK77dN -eRlKPTfuGxo19hjlNds16n6H9xvOtbhYOYLuu9x3XFfpgoTLZGsz+fdtjvTv -6cwTXKqp+x+8n632O/9rBM27Xq3fiD23JFxg5emBLXzdyZz+dF7dD+F9pv29 -bQFRdOPbAOdRlTzohfuqlxMfRlGz+X88Ttx5U46j4KrZ2c898qK8Tha69hd0 -riLoelnQefWK6bOCqwWS6V3pYn1P+9CqfZ9SsowMpANDWv1VPZ86jxPnfjV1 -65CH9HGrhQ9VBV/eCz6AL3vbXPN4nukpxQaF5ZpaRZ2/eWFepwLpYueZfkMr -zKUvC/ud9GwYJPkGPoJv4CPiFflmhbQ6ni9IjhPjxjgxbvQHvjdfUtUpdsMW -6ldyhvFinqf0TvC9jJCD+oLv64QcIF7z3rwP8pQSBB4HBF75Wk0sXPXfZJrh -OGtS8B8h9PR8P68s+VKow6pXpauPUvfnQ46ydctTtdSTNdT0x2MuUxs8p9U7 -//09e9099GZE1Zy+hZ9LuYKcQa4gZwc2vz01bncyze6WNvzAiXAaOjV3/11j -U2iOgEdOGOu0MTSVfow5tGK3azjdDP91/jVXo4QxHshpwezVcx/7Mo3y9Pup -26cKEeQfnfXR1GqHJPyQyW0pIbeAIYfvhRw/jTjSu8Oai7RmYHLjmKoRtPFj -odLba12jtQLmcl1UyDXgUXETbxUOSaXdJba3TKkSRaUaFw3ZsttI71KXX+qU -Q8l9jJgHb2p0fTi4qAvtH+Mz39cuiv7qufyPcQ+v0JLpY+3y71fz4o6YJ5gX -mCeQpyLmfMBoatX0W8MDvp401byeRNOG7QUXdpocTxfCHA5u+Za+Ti2dvjru -SSrNdHySu2W6vfRgjfHxguVGajr6aNsBTdV3NR4daFh+Q6NY8vf8c9FvaS6U -53rQ4V/jY2iy/8IypX0u00vzehBLjQ2/NU3elkheLe54/TQpjnYnmEZfck+k -63Xt1n7tEUcPDoaNHhmUSn1PXrwZdz2OnKttWVV9hlE81fcAbuz0W/jBPZ6c -wkeVWT3elUp4tcz5x7D0dfr3xd3XfXOlpfN3d6o/QeEBvGZ031zpxoNUalW+ -69Zz+RJpc4O/8zcbnW5nDLpzaNgZ9X2AU5snPBnTNolG5rk0cNgYV3I9vrfJ -fi81buCBcQOPladuz5/vnko344f5FR+fTGeLxD3w+t1IAUPnvcqfnETTxbzJ -L+ZROzFvMI9mCbm2JfeQa1tyDzmCXP0r5AhyNUvwsaTgK/gIvvYWdPcTfLgg -6A4+gG6gI+gGOgJv0AF4gw6Vne0e7Cx4kzqHHN+co9gGSe+Tc4Y0cqx3iK4P -29h+ZfcbMv8/1CNiUKaid6l/vf51qp9cLuXX26yfdtHmdRcLHBxxR9ZP0vJU -nanghl0TK7b1p7ztKh3bc3cadY89uGjhPj9Z/42Wl6ryUAHreaYqjxQw5j3X -A9uFHsA8xbzFPJ0i5i3miZ+YN5gn08W8KS7k+oiQc8j1WiHn072aBW2cpL5H -ADkdI+RW2nnnetao9X47lXs+x9R+gfo+Aez+ccIPQH7dIZGXaBJ+APyCTu93 -tajwNkXqVZxnyec5ZH7jI0ephuBrBcHn3YKv4DP6vSz4nK/KuKQ8re6y+598 -6Hq9jm+bl71K0cJPvSn81tci7xh+JfxWd+HHQj4izoXPnvH4Br2cuqLegsHW -3z9IMu8fukk/FX4r/NIWwk+NyEgLnqfu6YeehN6E3/NM+EHL7fZvbNlLfc/A -8ky3G8t1XuFf051IyHGIkOtgIccYN+izSch1isAD5RjHO4EX4gqIMySJvG/4 -5/D7EXfAuAoIuoPO8j4YkXeN95H/njzwRuX1L+/QEuEnVBN+A/wE+A2Qn3Ui -b/Vs/XLTq3VS9wr+KPzAmcIvBH2aJhU8d7u3N71ra5mnmLegRxcxb4F/uODL -HRE3ySfiKKVEnjv214C/r4irJAq+Qw6QN476OE/w8ktGoOwRJRcp3vjA1WS6 -tnzAlpH+D6Xf80X4QTwvN1nEaT6KuM0CkWev77+5UiMRx4GfVFr4TTyvt6aI -69QScR68f0jEdbIJv7CO8BP/En5hBeEndm1VeIRnoPo+Avwu+GHoL0zkDcPv -hh+O+MNCcS7hhPDLkI/K84w9hF8GPw3v4xwDz0OGnwa/jeeN57YEWuW5HPjN -8KPR3kKRxwy/Dn5e+IEHgy+l+3Ufix1akvljtFUeOPxk+M0yr3mjJQ+6avaM -Aah77+EHwi9slxFOLnOLes/O9y62SwK9vvIknXPqewg7zf3csLrHu3SCy7Ie -pVRcBnEaeS9Jg6NRKZ7xVnnY0Oc3Go394YspkZwytu+eq3v34XfCD/0g4pKI -U2I+Yd1AXA9xPsTx+PcRsk70b7Q/axJdykjLC3pINWosfLTvirpXuJr5vRTa -OKzGBy97P4XHoBJNHdcHkUOtU71yTU8mp425yt4v/NgKT8CISyFO9UPudhd6 -V0lh+R/JlM28TqvvJ6AefuffU0De+rV7sxLKOJuoq+n6gjafEqUfDr8c6xrW -uR/FuoZ17qiI6yLO206sq/y7P1hnEXdEHBJxRMQVEQdEXBByBrlDnA9xP/Cd -f28BcrBr+PXII+tN5HayZ/bUMim0+5c97o8/8+9WmihXgx4DezZKocstfiv8 -bsAVlp/iSvcrTVxz/2i63d0/Im3YZet75s9GTf37+kP1PYYVYt37VtayzqEf -eR9Y08zdV+QzUTOh51E+9+rFe1PC4mm++WmiM9mflo8sru69vOu3OnHJx0T6 -zanlwMEX1L24ec35hCb6s0zh5ruqqnstgTfoALxBB+CN+vb9Jj3ZdU7dA1LR -3Nw5Kjm9yWvDy2Vy3xH2j+W5l57tfpP9/vDjtCbb8kZFZhvp6+S82xMWXpJ0 -chd09RV0BF0Xvu9xf0FdF7nvUDS8+AGPzBeoVEzzlDvh6t4e7FOU6Wl3KaGU -Op+PfQr9floTjXbdTK/XGulyl7Uzsrc3SvwetFy0akhmI7UoWf/Nb1dM8pyE -nh+USj+M7Dvh7lUT4ZxaJu3vPE02xxGW0UsRd98t4vCIs4M+iKsjzo44uoxL -i7j5GxFHh76/Kc4dzRRxdNRHXBxxcujvBiIv6ZWIk6M+9G7JM0+Hzel5gJxE -XHyGiJMjr+xHca5nmoiT4/2tSXey/hKg9IC8zzkoc4lffjpCjfq+jqp5LZYm -th94PaSZgU7+9imtxBz1/QasA1gXoPcPi3WglND7qI84encRVwf/L4h5h3mG -eQc9DL2MOPsbEXffKuaZvEdAxNnLi7g74uyIu48XeAAvjAt4VRZ0BF2xL4R9 -ItiF/PsLoGOcoBvoqJ8LUvc5LhDzopDHGt+c+Zyo96uEs0Wd1L2VPzztePzs -Ilc5LzFPEUdDXA1xLsS9EHdCHApxJ8ShEPcpy+JCD0VcCHmQmAnIKwQ8cG5k -6OLKRrq2L7j+4L4zqHlGem2Z5ZKOr8KH3p36qwftrrm7Y/d6lylu2IVfGvZW -91DOFHnA8GcsPz+m9v4ZBqWHzItCOfJMAYMvsDuK5O8z1HQ/iRb+XWXkhybq -HjinhHEx3+aoezuR9z645SW/N7nu0NLVHd+02OdLeUSeNux/yFl+j7BRPQ/7 -0MOTT74O2B9NeZK9ujc6d0/meaE+5ifyrt6K835yf/HQnOPLXibT4TuXV7W5 -f5sCfojL3ipK3TuH8SEP/0r04RXnpzyi7hnHAbs+pHbivB/kG3YH7BCs+xuE -HYL5flXkoXpkbK8MUvfY3ajSontCvWCqkfnNNc/EQKrinxHIsv6ewWlht/A8 -1g/CT4Df0Gzlxr/q9UukEad7ZenjpfJ6kef7VOSV8nvn6swOqj65jcq7Rx7+ -xa/OC1+dV9/rnPhtZcWyeeKo4uQRz9bHxch9RdPOOrFTr6p76+Jab9tw43QM -XVg26ESBgnfJNWFh0/Yb1b2fvx9a9rngTfW9AdjZkw8FZm86OYGq5D93/Xgn -dc/hCJEnOczPqcOXusn06vWbpxUWqjxd5O2+Xl/l5u+vrL8vsDd/v7QCxeLp -8cySXz3bpvPBv9/lReviqZ85UeC+tHsWDB2wJXuyP+UaNT9TgXPqHtBku5On -5wWo7433DS3cd8Qy9X0A2A1Y15AHO3dk9rkuNy6p73XWyrl+dnQAbTmYWORz -uv3X/ebn7GHL1PcAgkXeO/+uXA/hR5Uva7RLK55IE84Xum/XQuVZfwuy5F1/ -7Zmz6umd6vsAyNPm90DWj146rXh4kpyfhSPHX3JalkzdQvIOdC2RStk6JeSr -/FbdI5j7ROAl5+Rkaffw707BDgL+yPP9wTfTnsYJl6hfv72eY8um0Js71+Pa -BLhIue4ypEq0T96btD/uZt4PbdS9tZk6ZmSqKr8dfnyS2c9T37lauS6hdcUr -Z8i7z67Og0JNLC8yjRqHOQ34+bO6bx/nRFBev1WdjpvC1X37WcU5DZQX7x1S -atEI63vrkNdaxK70tjqB1vfv49xC4YtD88a2U/fx45wA2kdeP+BLkRWr76+e -St9mdpxZu6eRsvxQ7NeJddQ9ibCjYFcVv7Le/n6TEBmfCRrwkNZ8eUZ+72o5 -Dtpwl550TG6T1+kZuXeNiDcMv6fi7+I95Peb3eGH6r7Uqk3tfZd0UvfEm9OK -F6l73sOyepbKvyec5U9Yn5tFu+gH51Crt/uhi09aNFUX/ch8WnH+c1DDa9Qu -d5zsF+PA+c72Oyu7V2+RIMeBceH8ZpprDrcp85Mon9iHg10APV+3QlCdyWVO -UpTYV0M59LIzLXEp9OAYhYp9M5RDL2fpMM876YG6j36b2f/fRv5iH0KPJ8ZS -K/NAr9F1sW+Acuid3vmOfDnW/LKM+6PcMt4g8jHr7dvU60L/mQfOqvvm84p9 -OfAV44t+Onnji7i71PXt8B9b7wqhC8dH/lzwjSdN3XHsivuiEAqv0X36/A+3 -6ce/y756Xy9Cvj/C/sYvXepEUMkpbRt2z+0p4VqVIwu3L+lNWfPFrH7fMIJ8 -7V64BW2/J2Hvw5OCe168Q0XFvg7awz4e1seMrPW1rdW9653MfIygr4Uz3R8x -8j51FHCUw+QC/fP4UbFuY7y2doigkf/8neOL2yMJ19l1b13VDf6UFNWopMdg -dQ976qCsAeP7RtDkpz0bvTMFSLjz9vVL5yYHUsXPzWNejomg6bNHGNcWCJbw -hNZ5U2sMfUwugk6dBd1CBJ3+EnSrt2BwcNIudW+7xR6KoIFrcm+zj3wi4eNz -306aXPYpdZvSf1tP/3R8pvhNr+sVQhs6Fe84bn8Uja7U/8nwYWHUvr1fzmbv -Y8g9x6rGpRuEU9fw+WsTe8VK+P7VVosyV4wnf3NeWzjFm/MRFNz5YM5H6/5I -pI+xjdPybwunjcXG5K5ROEnC4ENBwWfO13qCr8MF7Cf4mkXw1SD4Cpjz8b3g -WwfBtxjBN8AjBN+KC77VFXwDDL6BjxMF35IF37oJvgGeKvhWSfBtkuAbYPAF -fOor+NJD8MVJ8AVwvOBLT8GnYYIv6wWfoFfeVrrmWiI6inKn5ujgNy6Riv+5 -Lmx+9WjKN2Dcu09ZkmnIyp5zwy9G0V2X00cO30qie+ZnFF0TfASfrzE+g4+2 -+PxB8LGL4PMHxmeMC+PEuDBOjAvjxLgwTvg58HvgF+EemezC74EfZGfOJ7km -9SH8iKYuljw2/L5Q1MPvqIc4B+IeuEdG9/c9aLzwY3AvCsaFe0oA494QwLi3 -AzDu0QAMu2iBsMuwrpZzrPtHx/7LyWNkjTX926v7/V3tvv7r0s1d6mOMb6D5 -3MZl6VfBz3oj7sGBHQ28Y4XfhXbQLtpBu5UvHcjqmuMxbfs8otfX+p60sEQJ -w+t7QTTnxIrE1+Vvy3tg9Paj6LKw02FHdRN2FeKP88W9Ht86WOwq9Ldzbdb6 -AT7W99w273gm4OfKN6RfBj8tn/DDYJcFiXto4H/Bzj8v7H7EV/qLe1xg9/P7 -/6fk6vt1R1dvqiLijtBbsPNui/XvqDn/01/qIdjnRfqvmOeW9JC6CD/tsvDb -9Ht+1Hfp2gg/Du2g3R9FO2i3hLhXB+/DL1go/ATY361Fe0nCT8D7X812ufpe -AOzvCrVC3vW65E+3stWYnutoul1d+PztKtse0kpDr9jcv3lS2eJFe7jneizX -fehJrPuwA4Z0vZujxV71/QD477WnFauye2YQVRd+pbvwM3GPEexY2AuVhN+J -dtBuLdEO2sW9Qni/8837rYtNT6a2vwUNXLNenS8+L+51eijsUNilsENhl3pF -tai+66MvtTjxT1qWSc8kf2Keh5z7pdAzam22I63v0T/SZ8/Cd7nV9wZgZ8Ou -hJ3J7y36XdiVPws7k98b1E7YlbgPBfzFPT6wK2Fnwq/CPTywY/tnuA31Yim1 -46zJ9b3V9wfgN8OPRj3+nQK8J+3vjHTes/F0IymsQu/26p7/zRnLmIf6HgH8 -uUFV+3ufPxFLI0UcoKmIC4COoCvoCLpGOV1d/XeXaOq5etrbQZkTaeOWQieS -56h7HeGXw0/n9yrBT0d9jJt/RwF4wA9Fffi18HPlPZ7Crw0tmr9vcJiJnpmf -8bT/6J5DcYtN5GGs4VW7YIKMOyEOBXk0iXvFEIcCna6L/Vh+j/oGQVfEiRA3 -aibuFePfr0IcCXqrstBj0Fv8+wU3RRwI92KhPcQ1EOeAPCCuIe87FOMDn/l3 -/3APFPx6/r2CM7UzjZgwJ4XmZrix+dW98+vnuk5/dc9EkaMyfU5ITqTaIi7E -v08wV9zjhTgP/17B11KWe7UQd+HfL8C9V4ijoBxxB8Qh+D1WiEOgPvDg32EA -XvCj4Vfj3ib+3Tr42Yh/1z1df96GsynkIfx8/j2Ev5rsjDrlbKK8QU0WHz+l -vo+A99AO3kM7uKcKfjLGi7gG4inYRzF0/RCZ44KR8o3aUCt8+07Zbr9WNwtd -+LyPdl5pXLaen/rOwINXF3J/WWP9nQG7Drm+VV2xleK3rc/eu62JAttOilhm -cpT9VQmM6Fd72nG6dylH+gqvvnMQIOrhPdh3OGe9cM6K0mF5j8h9oBKiHbSL -dnxFu4UEHsCrp8ADeAEP4AU8gNdagQfwchq0uNSrq6nyiTgT4k645wz2H+j9 -WsShIDcNL0aPm3LhKhXNSGtoZv19BU+hJ6AXoCdwrxj0DOSpiYg7Ie6RaPaD -79LZ4HqGFQvUdwwQhwwScUnoyW9OGXE2P0pNsF8x8Kj6HkOiOL8Oewv9NRBx -LMQVEWc81GJSq5KT1fcYcM8Z7Bm8z+NciGshzo64e4rAg39XAnjNEHYc7LrM -py148O9KpAi8oD8Rp5dxdGE3lRd2Er/X9oDAC3zj38UAH2HXws5tLOxazMsW -Bx8HjfA9I8+LYR+0mNgXbbX9rwc1QtPn5UjHbEnXztBkMe+hBzDvMws90HzY -pc67J8yggKuXhvWubCTjEYtfwb8bdkv4GUk3ypw9cm4XzXgx0mFAjutkbJAy -dlnQNjL4Te39rMYdainsIm9hJ7mXv9i0asEUyrm4fpFRN/1oRqexLoEBobSo -84nnWV+l++eTz3V4XyqM7oTer7KjaBQV6bnda8ccf9p1+M6tLwNi5LqOdd7L -M1v2OrUDKTDPs4uP28ZSv4Tuu/rNe0xlDnz5PG58ul3kPm1Rtj5PaObvDfe7 -3I6nQQfuvhk8yEQF8jo6+TRIolyFNkXZNTVRb8eLvxYZlkIl+3+Med7uIi35 -+mr1mWpK/51ccYp61ntE3mJcWcQ4oSd6PxuRNOOTuh/+q2nfD9XT7TSca4dn -iHHeFuPGuDDOxYIO0wRd0H/RstV/eJU9WMIrLp+8ty00RMLIJ0L/yB8CfMTw -s59bSiRlLe/9xilZfV8945aGkrmeSnjYuiRDtUeJUg5bTO106E5p6/ueC2dM -k+BzVGlJvq8TApPpWZe5v8xODqKx/4x9dCvdvhltfkbT2FVbDhYINFH2/lUe -+kbHkuu+MpmdT5qow62xW4NfqfvzM27b2ZvFSKXNeeZG+pjfcu4TfIcclBZ8 -HSD4/H8AfaocZw== +1:eJyNXQd8jdf7j70VLaU0RqlR1KhZ9ag9ip9RVaqE2rWp2jPaWiVq12hsMSMi +dlwRI0YkhCzkJjfrJvemVBUl/zvO95z/eV73//vfTz6f43nfM551nvM8zznv +UXXohN7D83p5eV0u7OXlLPnPr3oXx18g6bBJwvHB4xx/Eex9lIRdr+NjJBzn +fiDh17nO30MJr3a1N0v4AyfolyLh467mqRLu5BowQ8Kxrv6tEh7rQjBbwu5f +DoMVnW8uTRIGvfr7KAmDXsCgFzDoBQx6AYNewKAXMOgFDHoBg15dbjkMVnJ8 +M52q1Ok1MXpNjF4To9fE6DUxek2MXhOj18ToNTF6TYxeE6PXqKdvlqOik5eg +FzDoBQx6AYNewKAXMOgFDHoBg17AoBcw6NXnXQ6D1Tx8s56aDHTp71WpyzeK +yTeKyTeKyTeKyTeKyTeKyTeKyTeKyTeKyddoZ948D00GuXG6APMS9AIGvYBB +L2DQCxj0Aga9gEEvYNCr280cBis7+mY7YzLoJZcbpwswL0EvYNALGPQCBr2A +QS9g0AsY9OrrQg55WifebEdNhnnH9ZLLjdMFmJegFzDoBQx6AYNewKAXMOjV +170c8rQOgl5uN7ld4fOO6yWXG6cLMC9BL2DQCxj0Aga9gEGvvq7nkKd1HvTy +dYHbTW5X+LzjesnlxukCzEvQCxj0Aga9gEGv7rfkkCc/BvTydY+vC9xucrvC +5x3XSy43ThdgXoJewKAXMOjV/bIc8uSngV6+rvN1j68L3G5yu8LnHddLLjdO +F2Begl7AoFf3O3PIkx8Kernfwtd1vu7xdYHbTW5X+LzjesnlxukCzEvQq/vV +OeTJzwa93C/jfgtf1/m6x9cFbje5XeHzjusllxunCzAvQa+nOAL0vtnv5H4Z +91v4us7XPb4ucLvJ7Qqfd1wvudw4XTmG0o2vvyxBOWA3ujb23tgO9dAesKeS +98PbcTw43jpefrJ0y8Pu8Tkv9XH8PD7n4/NxvLRfjuH5m8dFP6cZH8MZXyIl +7O72joQ7u/4RK+HvXR0msvdJEnbrW5pBfsCDl8AHMPABDHwAY3zAGF9/b/FI +Nx+XlxgfMMYHjPE98ZHTwfvlJfgLGP0Dds/nZNafzaPcON84HRgPcDVXmeVR +7hxP3g8vIX9PesPlyPnK+QD89Po2j3rI9ULHJ4lWuepnShj9A0b/gLkceAl9 +A4zxAKM/wFxPeT/AD7BOv4XRbzHMuzfLIcmAF2BeYnzAGB8wxvfEV04H75eX +6B8w+gfM9ZTrBZcj5xung4/LS4wPmM87rodcb7jcudw4HzndHA8/4R9we4rn +ur3heTl/ZgcDmT3CL9IA6/VjPKwPgcxOeHnp81jBev0k+V5fPwIl/3S7YfEA +B0p+oj/AoBv8RXvwl8Nor/uV6r2+btgMfOXrDeSAfvV1L8KwDqG+zl8Ts3Mm +pm/hTL/CJb2cfrzX/ejTBj8B9HE94Xjy9RR0ud9HGdY9vNfXgQg2X8KZnYxg +8yWcyTuSzZdww7wFfTr+gey90nuMq8/7cEmX7l9HsnUuSuIPOYL/qM/tmu4/ +K3z5POTrsz4vTYZ1Ge+hH3gPGPXgz+v+gs0A83nO6eb+As8P4j3iC8D6ehzL +1pFEyQ99vED6v+2MyaBngEEvYPCfj/f/tVvQDw5DDxA/8XWYx9l4D3z08XJI +t5P+Hu0k8OPziOslh9Fez3spP4fneXS/NMew7vF8HLdTHOb+C9dTPi7PQ3C/ +g8ftPC74/64b0GdudzzprZ4XVf4Rzwtxv4vnFbjfwuNwHmd5WudAH18HOMzj +AG6n+Lzh85TrMc8Xcf+Q54m4X8jzDNxP0vNfpw3rOs+3eFrHIU++bqA9t4Pc +bvB5C/p4voj7ozxPxP1QnlfhfiHPl+E55AmYr/N4z9cZbmffbPdzPNhlZaf0 +PLrNYCf0eZTD8pQ2Nu9yWF6P++XwWwJkiXrgC567+7UZSh0/vo/A8xmBDD+e +p+X+Jca3MzztAs9gZtdNzL/leW3uz5oYvSa2bxPO8vzKzmJd0PkfzvzdCLbO +RDE7FMnwUfsofF0JFn6Ap3mF9/p6qewq35/k662+f+Vv2N/h6x3fH+LrEd8f +8RR3QC58/4GvF5wufX/C35Df5/aZ5/c5X3Q5BBriFp4/5/ae59u5XPT5aTPo +M8bV7UywgENlfffju4Z5i3pu/lyVMH/uQrf6bQnz5249iJMwH5fXc/MhXcgX +/lmyLEEf4CBXR1inUmU79MPLjq7xsiWMduiHlxgPMO+Hl6gPmOPN++XtICe3 +/PyEPoRJ2NVd7j1DvhvteDneVdzw2C8v3XhES5j3w0v3vE2QMO+H481L3o97 +/iC+NEv9duuVRT5HPbe8MyTMn7v5b5Uwf47+AWMc/lyHkyVdqA+9hn6Ab5A3 +6kPegNE/2uM91jPA6A946PMR+YBgqf+QA/QbMOhHe+Cny83O5G+W8xr8BQx6 +IUedj1clPfr7ZKkfwAd2QJ8f0ZK/sBegB/oDfuh2zC7fgz+AMR7sDcaD/ul8 +SpJ0gA+63JKl3HQ9iJbvgRfe635XskFOnM86nalSD8B3yBF0gc94D75yugGD +Hp3vAVKOXG+BL+oDX12Pow18BQz8dT0PlXLEe8gR9KC+rgdqX5Hjx+0p6oGf +b9YTtc+o80H5o256sZ93ROCH+RIk2+n2OdBgp7leAgZdqM/xRj2OF19HuL3i +fALsHidK+j18neZ+HOaFTqe/7Af84/3qfrDNcL4Jz/Xx7YZ2+viKTozj1jfo +0W6Dn4T+wV/dj/WX+gr6MB7q6+d2/OU85XLHOG8e15+N62cYFzDw1/1KG6tv +lzD6A96or9Phz+jwM9Chr8M2ljewsfp2CXO69byjEW+Op+7nG8d5s975/Zd5 +5y/fAz/MG4wPmNfDuLydJz3hdKE+6AB+XG+5XDmf/5ufz/nD+Y35jv4A6/3a +mR3m82i3jEfc9U9L+63btVCJ15v10sLsqYXNgxSDXgLmcRrWOdANGOPzdU73 +f/j+ktIbNz3hsl99XQlgfIiQ9bEeoj5g1NfPAZ6W67q+DqpzgzyOBP7gt36O +LtiQh8O6i/51f5TvS0ZIPnC83e0jZT9YlwGjvZ6fMUn5gR+gH7CenzFJPwLv +9f2QMJZ/CpfrGfc3gQ/kBXzBRx1/Ly/Mbz3PGSn5hfc6/6KYvxAh5w/6B76A +IRe01/kXzfQqmvEnyuBn6fKOlvPaza87cl671UP5x2681Tk13U5wu5jD5qHK +u4G/3H/k+WZ9vz+VxVWphrwz9Br9Qu/1vHeG5L+e77HL9+C3nlcLZv5tIINN +LK8ZavBX+b4A+of9QX/6/oKVzVcby0MomOeh0b+eV7AyPKySfj5P9DxfGFt/ +TGwdiJD4YV6hXz0flMPWxRziegN5Ynw9X2Njclf5bcgNegoYegw58HM8+jn6 +0wyfUAPeqOdpXP1cSyzL+8dI+SMPr5/riZf9ecJTzxsmG/atMB7eA+bnRkEn +1lde8nPweI74QM+fGenQ90lVns4T3vr+UhKLF418BAz5Qs890a2fL0oiPU+y +W8YBby4T5Lqn2zV/OT7sBJej7pcHM7sZKvHR36cwPbPI93peIFTyB/NW95/D +DXkKwHr+VZ2T0/UE5yfMLC9olvMBeIEPWEdQQl6A9Xg6WsJoD7vE+9PntbEd +YMgHeqfPp3iPctDlFO6Rr574CFiff/GSHryH3nG90OdjhoT1fKSSkye5/d9y +Mkv90fNRp6Xe/d96ptoBBr369zUqL6r7WxYpFz3vqujmegA+6uMkeOQr5xvw +0u2yxSOePI7Wzz/aDHEu9AN+AfTDzdcAlo/3Z+tFsFw/8V73o/3Y+snPcfkx +P9Hot0I/8J6fw9HnY4CEgY9u/wJJj7/gB8F/3sz8VZOkE3qk063O24FPwBft +edzA/WLwQ+dzlHwPe+HJb4Z94XYA7z35cdzP0+nxk3ihhJyBJ4/79HqnDfsc +aI95DNhdGv0s7ofp/QdIPut5UXVeDfMQdHI7C3usx193JF7QM9CBeQ+Yn8PD +e4yPeQz/l/sFgHX/PslgB/RzHUnMTiWz+CKZfXeULPmj17cxe6new87o399Z +DXEMPz+u+/lmti9kNtihN/v96QxfFWfo55U8xx36OZZ0OT/1PIoxL8LzJvxc +gb6fHW3QG27P+bkwvNfjARX36f6j5zgQ9fi+Ko879PNMNo9xCOTP9+14HO8p +zufzEPTr55MsBjnr8XG6tMP6fnUWizOzJB89xYWop6/bdtm/bkfsbJ/GxuJo +O9MTFd/hvX6uwc7WF3V+B3ZL1yvjPpSe3whgcvGX9GId4nG9HmcES/3T/XXj +eR68hxxh13ncDD7hve5PhDP8wpnfclWO53rs8Ov4Phf4CRjjAYb+wN7q38nG +GeIS4M1h/TyO2vfV1z0zsw8W5tdYmN+jznfq3zF6ynOmMnzVuSvojSc+8/0L +ngfmeWL9HHuw1APA/JyXbg/9/2telb/Xz2+Gecxzcr2BPcF76AnPQ/I8JT8P +q39PrPa9sW4Dxnv9vFMws/en/2velb/XzzeFsXlzR9oT6DXsR7DwSwDzeaC3 +j5T8AAx+6H5KMpu/ZoO/in5BD2DdD4uW/EU97hchn4L2etx5h8W10cw+RbLv +gSOlXwK6oN86Hsrvh/7p63KaAQaf+bkD/RxxrEFP9O/2kw1+Dtrp59FjJAx5 +gi79nLnKZ+l5pVRD/+AT8Nbj3UgDX2GPdL0w8gX6BBh81/2tNObXpLG8dzqL +jy2GdrrfkyrtDfik53mV3wp6MU9RAk/oA/QL8wgw9AP81PNoZjYPzbIEfhif ++6FYF3S7EMD8gwDmh+w2zDt9nl01zHPID/Sivad5B/0D/4G/fq7JqHf6eVSl +h3o8Y5F8wXs9blDn07h/Dz4B1u8/sEk+6etopOxPP1+Vxvx0dQ4I+uRpXmIe +6d8RW5g9UXYJ/fLzTrDnkLOeB/E32FF+rhDP0S8/x6jrs8oL6HSqc4C6XDIZ +bGPrv43NPxVn8biLl9wv5+PwOERfjwLZPAuWz/l8hnwxPwFjXdO/EwiV8tPj +kFipd3iv63Oi1B+eN9L3MwKYvVDnhvR7TpJZfKHsC7/HRv9+KFXqIfrR/SUz +k8NDqWfu/h6wODdRwvp88ZPtoQdor+tJooR1PQ6Q/pvOhzg2D9Q6DfmghD4D +htz1emofnp+7xvg8X6TPK7vsRz+/FinnL/DW7ZJxHxfzTrfzat8a80ffz0lj +eZw0ad+4HQEM/YSc9PiBnysJlePo9kn5v/r8TJTzR8/PKX8M6xH0UD/vfIed +64hm9ieRrQ+J7L4mfu7ZJvUQ8nKP84jF1Tz/lSb5xffndL8sXLZz9xsm2wHW +v8MJNXy3AjuB+uhf70/xn8cf/DtX0AMY9gB6gHmur0tJEkZ93R9S9cF3rHOA +0T8/dwV+Qx6A9fOu6jtpfR/lqoHfgPV1N17ii/FPLehRMT3ogrSz3eYeTXm3 +m7oH8WCnpJnvHFLnQCd+VvTejonqu9sHic6f+n4fcn5e5pCj5WL65lfT01rf +qO8s1/079OrH61Sc3LvZL58PsRyR60hrZ/efqXvq0K53iLevtdcVmuQa/7ac +H5BD8cbO30VZP6uXs8Ftqvv8kt/gulflfAMf6rkQu04FWo7bHl0wTr4/c9r5 +U987wW7sKDE1rs2eG1TeiV7RPVKubv6ouBGli4yi96Qe+/7s/N2nT1x4qn0p ++C2oD77k39I0cnQ+9T1zdLX453PHqDz+YquTQHWP1yIBA9+27Z2/BMpT20lo +OtuX9fKa9Y5TPuo+vBvXnT8zhbtK9X3UHFGPf//72inGf9X9gi42tlTfeW3e +6PypvGN8mz0ODqrx3OSmUQ+XXNX3Ud+NcP5UnEdCH/j3s12cbO+UxviXRhvH +l1kUes34/ekJl56rPKKLXVZ1n9zjZTXO939spboOrm9pqvZpfnE+XqbyYvOc +02Ou2hdA+dtgp6ZZyaUOndT5FPBtrXMa/Gojlzhqqfu2gGeF2JvP+iRn05JN +lmFlX1ygmaUWNikYcJTWn8/rPW1yDJX7PrV+211HqOQI321LbybR8yH9/tmX +foCmiXqLRburzb5KfWG+SvN3Ndoy6lwoPRn86ePBn5qpYhnnzySfo96mLy+N +Onr7NlnLj/g5cu41WeJ5rSsxoT4T4+hRk8Dpt7rdpncEHusEXniOejkCrxIC +T28x7l8Cj44fjRh+4j2Hf3p26aEuZKZzH7SueSs3k35YXeFBq/gkyiq6atYN +3xRZFkho0O1sgJ1q1bg4oWDrFNkO/aAd+pk/z/mzk3VA02zHn2yHfvAc9dJi +4y/3zblE+/avPbCgxRa6P+BGclDXRMqkF76Pbm2hVT19/zO3fiJNXnR3Vonl +u6n79F7Ws/uSaObepw/uZK2h1uvbxDSIS6M6DXdlDbu/jUY3Cv19+JM0srzq +EH6tzA5qt69k7tZmp2VZelr2t3NO3KCX2ztvPJoQTHu7/r7+cnwCXZuSb9HI +PCHUeF2T9A3rEig0YvKfobbzlLon5cjUoxba817CX/PbnqbY1Op+64MsNG3g +qxN3552m4wLvdEHHxsflXz75VZUTZn207tIf0fRFVIlNI16EyXGBx4rgXzvc +8rkly3pHy3x0tEwydctY0zpjzU2qE1S82ca2yeRTwNT5036RVGX75j7RN21U +d/O88E8qRMp+MY5Ty01P79Pth1fHzBh2h0qnBzlm3n0a+CRP1vLNd2llX68u +BVZlUbdGwfGR6+7IemjXVdSrJtp1f7V1oPlOGu1fn7r6xsxYihFyuSfkNFvI +5Vchp0jBx/2Cr0GCj00FX0/2Lvz1xiF2GlF6UO3FBxJonZDjF0Kui3ffTqqZ +N4tSP7EsOxaURJf2tK1F623UvP/Ze6GjkqiT4Etdwachgi/gU6eCub+0aOSI +X132JJlChNzShRzHC7nFCTmiHtp1mDqkfaGOWfRrQd8VG8c43jdw69VnQs+y +hF6NEnoGvoBPJZpejs37m436XbFWWxuSJvkMvoMu0IlxMC7kCjmPFHwC38AH +8AXjYNwNFU+urnjyqIyHvEs7f38Yzsfr9Uw0SPgBfcQ6j3UK/kzUmU0/9vvE +j2o6zXGNW4bzCeeczUIOyfUH67S+rvpTHm1dDaRNrnVKnZvHOob3636qGZoc +nEm90y+NGha3jio7h/FW38sFzPqpfdmq6lx9+t5WZQpcz6L9Ie+Nv7ftpOwn +RPhZaPeHa9yTcj38weXXnBXrw3XD+QTffRHZbzUKow8bFj5QaYC6Hwj+64aw +Kkcmj3KsGz1XH1oYlkHLXevReSrwW5X+eeIy6dHhOdterA+j05EnU+p2sZN/ +kk/uxOqXJF8xDvp9NXfMmalrrtAyMa4eZ56mugJP+Enws06++nzJtZLRsj7k +c9Iln5v0TrM7y3b+kE67PjgcOa7GTSrudKtKZFFJ06kOT7OvsPX8MrUb/pMD +A3X+AHJGv+DfROEXnhDj4D3aAS+zc3lOipPv4R+/5cJD3a8Dvdkm+Ao+g174 +jWjH77/BOD9Od/7S2HvlR8tzji7/wGzwM8CPzi6/IoleOtn8XOUl4Ffw8wTw +7+B38nt3gBf8OH6/CsaBfzI+7eW+P6MslOh0U3apfXX4Vfyejxp5Hjo0K1Xq +IfRyt5A79AB+qfRTBR/Al74ue6Dy3vD7+D0qqAf+NXf5celU3smGd2ysXpbh +vMKzWu7xvxHzHPMe8nLHJQ47cNI5X4ZKOpPEvMI8gx5Dr+8/d04kdW4efOH3 +oYCvf5RdkX/2E3U+of0QS2S1eOP5A9SrVOfTLwaNV+cP9gq7AzsUu9YVcLHv ++/0Jdgt08/tJwDfonyssuK7uH1mZcGVFwhV1/4hTCxb0sNN/Ovx8IsB2UNaD +nYHdKeyaVyfY94/h1FbMc3ccor4fgh6jP/jteA+6wQfQ+afN9ZN4ov3wwU2O +ni8UIEs8by/w3nDs+9cVotX9H+i/hZA75FA06MoP57btp13J0ffKFVL3f3h1 +fti//EE7rU3pEeHzKIi+/frR2gLfGvf777rsrokcRrZ8/n7G/f2xk45s35l8 +kaJrzomqOUfti3dv9dF7Rf5ReRHEUbCDkF9lYZ8v/yfWJ3Oy8TzA/E1z92b8 +dE3O90Kudfq2nBeIy/4W+gG7Bvx9nOJ6S933gbhxtpAX7CXiQD0PYqH8wr7y +OAv039rwYb7rX8fI8fofKTDwSIF4yififH7PCfiEvAO/x0WXq4rzQTe/HwR0 +QC7vOKLKPzqkUk1XAsN4rwrkArpA5yMX/0IM+/vQC8iJ3xcCvgP/nZqemSjd +aY67Z4r1W3239U2p/i2CroQb9vehB6B/mtM8TVVy5HzWz9lEkHv5UXoDPRoj +9JTLDXBPYRdgJ5BPLHTd3KNUzWNsvT9B15edGvboH/Uddf4fwm+0XRNHMa78 +QaQs8XxBq4IVp720Uf+ZI0M/n5xC45bN/nrEhUzq0jbzk/c/dsT984au/OJj +K60s4zTMFhpU5vf6y2umy/KRNeb66OrZdMa//d4qfuk0o8Djk81rZJP9btgx +/9Xpsh/0i37Q74CLLfLk+z1Tlgd6b37cuJydfIsUuZm5KFP2i3HQL8a5X8e7 +SvGNWbIEHaAL/aDfjbW6r6vVPZjeL+X8raLDx2dUebLoHtXJvdL4YClf6lWs +4bzZFe9RSLPfex7qvF3WQ7she7MaTDt5g6KiJzRoGRNM9rhZS6eWvUMvvZwM +vSifo555cab/9wviKav3yDHV1kbQX6LeE9EO4wIPjAs8amY+LDz8rxhZoh/0 +W9ryYfvyA9Ioe/NvlW9dNtMKl7+QRvkuVdr4bbCZ5jT64NRX1mxqsv31xEvh +KbIe2qEe2l2akZrYbUgGNf5yS7ea76bJEs+39zt2f3iklUo2GtPx858yZInn +f57t2WLbtWwavLHgnpkLrHJc4IHnqBdpLbnn13kp9FGfQYvmnBxKM0P7TetU +3ELno7uW/+7xAaJmpkljnqZQn4Kdh7eYtZfyhG5s8uR6Op0L3lb//YLHqcLp +q8f6Dst2rHOdZx1KWkwT3q2xcUqQlZIrr9zZ+u0jch/jo/ORZSfN/YLytBr/ +0YZX2dTSf+zmhvUv0KMLU/IvDV6q9uGzLKOftTZTYIGYxrGTTLQt9yfvqzNT +KTNh3ZPgiItUMCVh5LulHP5btQ3p9u8u0chnsQXCdmdSzoTlQ/zPX6QOBaNe +TjlopmINujaZkXCV3qm9ukzt1Wa6MO/liXkvL5N1xt29NMLB9yW+b09oe5WK +2etljG6bRiWn1Jj/7fQrVKNI3QGtBmfT49wNtRtfv04H2pQffbloCs1r8lmR +Wv2jqZsrL5lC0+jvYfR3NM3Z6v3pd4cz6MPiXx6a3/g2tdzx9+Ba5gxKrbqz +Xt1Zt8nU+b12ZUpY6bxXjmlc0Wi61Kik489CUzYlT9uUfJdaD/d5ae2TSjvm +3qo3KfMetXuUv8ej/Kk03OXf3qMLvWedi21go6LzepedlHaXNs8LGP3FjzZa +sHpWpY/KxlCA/+yFHR1+x5Ba5qOPvFSeG3nvF1MOBib9nEFTnwwsXH6Xw9+v +kqdMlTyZdP9gYpzjj1bNLXrsl2FWGlfzk7qlF8bTEcF3yAF8BF/PCz6Cr9Ab +6FGo0BvoEfQGegQ+gq/gI/g6SfAlXPAJ9hV5R+gB9AJyhFyLCTlCrrsFXz8T +fJ4g+NpZ8PmM0GPoNeQ4V8jVLOTYXMh1iuDjS8HXe4KP4KtF6D3mwQoxLzBP +Hgk9HSb0dpXQ47eEXocKPYHeQC6QE+YN5lH9moE+AyxBdOBhmY4zDtjpidBb +6DH0xiT0aL7Qm01Cj/5tYLtXY62dnWMJphtiHYNeQc8QV0Iue7+61ijsqPrO +Hv4u9HDOnWPzvcvYqb/Nt93WNUdobXDu6uDco7Shc/DqzsEqr1JV5FkefzOj +TeDN43KfEnkGPZ8SLO0GniOv4SPsDOiB3w988Rx0v97dan2bGHUPfd8JtU7d +XRlJjbctHxZ1fjf5ufI86h6If5suzZ/3ShI9eNVsfPeB++XzXNEP/IaLo87X +vlVD9Yt+8H7a7Bdx5iFJsh6e+96e22drt0iaEbPpUas8dno4/98SVx46/Nbz +eZ5XXGWX7VD/t94VVu4akER560e+nF/aToda+W5J6ZZEG7/cFnDwvrqfwMd3 +QPSZ5J3UYo7tmn22jXrXLd8rX8O9dE7476g372ztvj6bbtMAc9bFkfd9yXeW +NTOplwMOOXHI23stlRhb6/XX7yZS/XDvvZ+tO0ybKp85sXNPEnXe73Dnhq6i +P0S7OaKfjqLdYtEP+FG2ULGuLVsnUr1GXzaos28K7VjyNKzpqERqIvotKcYB +nfHOMGhFAuVsnDlkWkMbpTR+Gpo5NIG851eq3W2AjQr5Wf9+OSGBjkwetTp7 +tiMOC/1pVfCRBKol8Noo8Pz97bk1fi9ooxnXrF59piq5bu1WZWz57DRKqOjk +9DL61cVvtb+88IBP0MPf0mjKFzlDtu61U9uq1i9vNUqj1m2XFn3rKzt95irT +KFHgiXY3BR5HBV4YF3igH/SLftAv5lVbEa9h3mAeYZ7kiHmDemiHfUTME+g1 +9Bx6tkTo3bOavgd/duhZ6SNPd9oeRFKq0POXQu+hZ9A76Bn0DuNg3/S3IU62 +TZb79UOXefXqf2MLfT26z195s7NphNBL6J9FyPVPIefCQq6Qc53j3w1KX3+E +dryc/tna0soPh18OuvcIu4R9Ncz/ukVC6xUJzabpm1N+2Jyi9B7zICxnyaLU +w+dp5rdDW/Zdpr7bauKKm4KlnkJvOy0833aCKYUCqlu/9V2xlX6Zc3nEwF3q +Po5VQo9OC7163rx2ve+/SafxJ1/3WhJxSJ3/+6iNrcm7gdRxfuCEhM8zaWyt +1QOWVulOyNuAr4g3b4i8yLzdH/z9/mZ1H8egufGPRtfbRwVOZ1ua5FXf4VUu +N6b7k5UXqX65Ermdrl6mojdmxr1uepFeiDwp4jLsx2+7nb/52K0X6JshqT3+ +KZNK0aWWlTh6P5TKiDgS9XGupE9UnQ8PDjXRwsulg1+0z6ACJfJPnTLmlIwb +EUc+FXEh7Lj1q/KVl3XLpJpfFR+8lEyUJuJC9N+6vpMPc6jWs8NFJoddpn+f +zV8y9Isz9P1Xz44UT4yg6SLvjDgP8nKlr6ZeI/+wInmKZqVS3jLVVv67QcW9 +H4g4uFW+kn4fbFL3azTObDXq/YlW6r5966Lo2yoORVw6aO681UcDs8ieFFKz +bNY1GVdifPn9iYiLBx/0f9ax1VEaEXag0eoZKu+PfYA5s6YnhH6dSSE/ZL2y +1owSeBvPqfs+T44PiYiiEe882tTpbRuVrTSwW8+VN+mXF83aVjirvrPJ51e0 +yj4vEyXkTh5bbLzKs9cSefcrn245E33VSh2p8dC34lReD3m+kd2mBfcd+b/u +y9hd+O6aYnaa9HL+zKqz1LlyW/5Jjbocj2H5NXUfBvYlPt3y5Fzcq13U460d +P45tZCVvYZ/4dypDByV0zPejlcrM79j1xRULzXftM6m8Leqf/cKnSxtHP9NO +tfI6VELds4w846aI1w2Hb1DnCHcmdrWeu2SnJnl/m5NcMpPSxo3ft/xJEP2z +7WDVf1tl0QlnmviSus+irteax97lz9HnjaLGrPRR3znudZ2fyKYadUzRZwpn +kFfSx4en/KDysMjLfudMRw9V91cgj4t52yDo2I9r62dTetVfP85XNIs+de3X +qO+QkPfj3wUNvZNzonbHbDpnmvJ+b8e8rRNeqm+17SrvdlbYr1FLV6Y8rqzu +p0h93eTzlf+EU9DA0YknHP5ccbEvAbm51L76bbE/Z5d5erxvvXrxksm5mVSx +82Of2uNsNHPmrrrtKqn7J8aUXdOv4ei7Mi+U/PhpyvU6dylm0L8Jl26dpaKP +f6vSs4i6X2Jt8fMV/illptMOLXjv47Nsf+A2tRJ4AC+0wzjI26wLWtolYIM6 +d77OpW/qPgqMizzQPmc64JX6f1b8L5R6r/gf6txyg8TqBResTZYlnrvcSt9k +erfU5q7tblrkOBjXf0vcvi1xsRTgTDsNTKeebx2oH14hji5Guw4SyHGBx6yk +fwrvtCXRrpEbK+7akSnpAF6NjzTdWm7LHdo3+7ukw+uz6JhXqRnxne7Sjtzp +7cp8ky3xRv0DcQ0/qeSXREtWb3srOtcBf+A1oNKyJCrUNf6bXv/Jph7Cz4Pf +V3R/Vv7FPVVZTvhh3A8CvMvW0GvuX3fpbhX798kpx2nkppDmh+7cpW2jzeaQ +3ifo7OwHEWlnEyTf94XkdruckUDbD9eoMG3Ocfo03/HH99cmUMOpHX6vXCiU +tnhTp6sZSdSw78bM1+2O09PKTVJb5ibRi9U3Zo72PklBu1oO3H9MfQe1y0W3 +hW7kbZMyrvJxOvLh1rIr8qt7CsokXm+3pEsC5Z1UaNhFrzAq+llJ24lqCfSl +z6bVYyddopKVq0/zXRpPU1O99lb4JIK+X1w7zMseT3GF+/yc58FlcZ5J/f9U +XzmEVumJmaxHZu/27n+DkgTd/oIPGwTdIwQf/DsEP3l1577MuzZ5mVPhhwL3 +aUfMnp96nVH3N6DeHvG8hagHOsHHtYJvAYKPTQXfWgs+gu6Dgg+FBN1lBR/6 +CLqLCT6AbvDhnqB7jOAD9MhaMeacT3Y8/TjL+bNShTa/VGzzSzzVcK0bWXQ3 +dcH1tx7E07S7B6rN/yqbLpkWTBpXN4FCu++ObJSQRe+Grm28NE+ClCvk/ErI +FXIeFJ679nmjDJqVM67D2ZZmuvqZdcu8wpl0zVWa6Ym/rXzz11bymbtrydvH +1f0OkFO2kEs/IafD79Rtda+qhYYvLPSk/St1n8NxoUcRQm+gR6iHdqC/u3PZ +62ahxIpD/Ya1y6ajhdNyQwtY6HrgjuS9ZR3+lqu0SLxBB/C+JugAH9Ev+DhD +8BV8BF/DBR/BV/ARfAUfwBfgif6BJ/AGnsAb5yTTxLrSdP6JNgvN6jvqBSKu +QbwCPz3/187I1OFfCz9ypPArk7P3z/qp/SXDvQVNXmbuvFZ+t+R/8Yp/Hi6d +e4rW5Svs13nYeenv1RZ+3LfCrxvRcujDo7HqPgf4SfCbNuSumvuypbq/wetZ +/ok9ve6RefzagY0m7pDni0s4t8/mHaHGbX9tttwRV3w40Tfj4zNbpB8Pvx54 +AU/gBTxBV5qgs4WgC3SOFX7nS+GHwu9q/ariH8sfBNOtT1r+236+uo8hXvhh +uavdfpnrWFC6um/hpjgXiXUc8qoizvG1EX5IfeGXwC+oJ97vEX4J+itcYknk +kMLqPgb4ow/r7mo8tcMZxWfB92IiDvhYxAXA+46gA3SBTpzbhL+Lc5eA3fw0 +U1nh/8LvsAg/BP7Msz/XpT7yvSTlul7I2eVGhdjYfp2N5kzp+NvfBZX/3FWc +840SfoZZ+B1FRH4K+3U4L3zWFXjcpRqO1b3dsiz23ZpV7HffoQPLfXoVa3iL +GszxXtyqYDxVF3TgvCv4MKp+9e77mqv/fxzniPm5T6zzWPfhr24Q5zxzxblN +fF8s13GxrmMdx7rOz7VWdzko6l4a+CnwW97e1zHu3ys2mr/4Vaf781IkP//0 +vdr3wt4U6WfD7wY/Vrj2My00+kLO2aTZZrr7+56PzjZOp777i1Wdfj+bUm/2 +Pba5qvoeC3YFfjH8ZPQHv3jg/ISx9f/XffJTRJyLuBf6ubDdgPCftmbKOAVx +C+QGOUJuGGcRO1cMOvj9CTedx+oGZ8o4AnEF4gbEEajH70sYManmz2u6KL8Y +fjLOwfJ72uA3w846Ty88OJRJvf5z9MspW433J8wVcX05Eech7sM5bn6/AuJA +zBvMo7li3gCP9uJcNdoniHPN/H4FyGms370Jxaql0/1xKxNTHXL3T8hz7f3t +6v95kd+75J7LXvd2loxrEOfgXDG/dw9xj/THRb/oB/32yBN4KjDFRvkmrJhU +JTSb2Q275CP4Cj6Cr4j7EAdCbjyuAgy/vr1rfu2kysNsA9q2Vt/BQy8hp54i +rm0m4txhIo5FfeDzc7POK0e9t0XGnYhDcW4bdgT8CRRxKfizd/2tWc/PnCCf +Actm9JpuvJ8hxHX+5jQ9F+eesB5An//e2jxqbIHz5Fo2ItV99ogjz4u4UsZ1 +Io6kcytO133Xzr5TsVKIM31x/gpVzgrx7V1Z3c+wX8QtiGMQtyCOce72l8lR +9zMcFHHTbhFHmUTc1EvEUfxcPc4V4LuYEBFHIq7EOgr7WzZjT4PNzcPppGtf +y+Evijwd8nZRIq+FPFdXkcdCXmuH4Cv/Xgp8zifySsgzTRZ5PeT5IFf53YjI +82Ge9RV6xu/5gN7lF3k05NUgd/ABcpX5DqFn0LsPRV4NeTbgDz1Angt5r5NC +rlLOIi+FPBXyUOh/6V99NnSvFE8hLv6q+xEai+9ElgYNK2DqrO5LgB7ze0ag +1/Bbigg/Jk74LbAHyLshD4c8G78/AXoJvYUeI4+FvBb8BHwHg7wW7EGeRbHN +h0VEUuKZKt3n5L9Bp4QevS306tS1wc+uRF6md/osaxR1MYoaCr/hkPAj+h2q +k9MpLJa2t+nZIi49inJO1ujxamsyjfCOPbA+9TY9En4s/FrIJ034idcmrqkd +VDyNvJc7GXlf8nmZ4DvWZazTPlEHv4s6eIcWu34pdGRw/2S/ZakUszezUML7 +yfTX385fDN0ot8/xZ6G/are5X/FKBDmIDB2RkUbLW4ye26heJC14ai/yvEQG +XY08ceDRuXRa0HrNsB6b0uiHfqdSy21NpV4lapluFMuUfgX8jPqVHv+++BMb +Hdx/Mu2DNTskX8CnOMHH3IVuvoIu0Ak8gTfGwbjAA3hV91v40mejjXI758SU +L2STdDwRdIEO0AW6nwg+QA6Qi/RHhX/mPWF0yW/7q+9ffR+tWvfnH+r7V+jJ +09YPoiqdiaSdZ8utjs1Ko6bmwR+8bmKTcoBcUH9S54h/Ivsk0f8ApQ0v+A== + "], {{{ EdgeForm[], - GrayLevel[0.], - GraphicsGroupBox[{ - PolygonBox[CompressedData[" -1:eJxFUrtKQ1EQXBKMgXvAb/A7LG1SKGhAMKKF8YVXzfV2SWGRbxDE5w8IwUge -vfoFRlAsTBdSKERIQEtn2AGLZffs2Z2ZPXtmy0mxkjGzeVgW1s+ZfcA6SDZh -Cewb+etgVkf+Bj5GrgobIT+B1RB/mdfWVP9r7l/M68awGeUmyleAtQ7MBP4e -fYsQMDTPkTsVxw9sAGuLl/zn6LmDf8ibXSA+Qc8l/Ftk9j5l9gp/gHMJ+UP4 -FLaB+Dg4D+NUHE1ppvauZingvga7xflIOqhhIetnxqn6qPk07/kd4PdyrqGO -85Vme8T9WXDMYuRcE73HMnItzdWRhkS+Iz28b6uGnudP8/doK+Zc1EQ9Xe2C -OGXwLoFjMzge90vMreDc29L8LB3cM7Gou6S/kKivrzdhLXs4Y0F51nHunnDW -gt+Vgt8X1Mtd8R25vyfczU2bZSLf80j/pCUOzkVM1pCrkfFZYu2lod0QbyXn -uRiYq4j3g7/PWLjkY93A/v/oUH+zqjfkX2Av590LjrkbnCcW1x/cBoFP - "]], - PolygonBox[CompressedData[" -1:eJwlkF9KQmEQxYdb3oQ7G+ixt/bgBnwoSCVIKfBvmabmYw89iDvQiMraQBAZ -0Qrcg9EGdBv9DvNw4Jw53zdzZg6ao/IwMbN9sAsO82bfFEqpWcvNpugfdBXd -R7+Ae/gntSf4Zs/sAz4Ac97OwNFOvHnG3+Iv8c7RQ/QD/jH+BP2KroMe/gm6 -Ca9kZu/oO/QjOkEX6PGXM/uFr7Pgyqisbx69vtALeBeM4GfUeuIes8fKCL/2 -8JRJ2W48dtMf/W177K5MynYLLtLIrOxVdDGNm+g2HY/dT6ldwZfKk0TmlcdM -zVaPMfzS461upFs1PHbXDXXLcha7a0YN7x+PJjTk - "]]}]}, { - EdgeForm[], - GrayLevel[0.093], - GraphicsGroupBox[{ - PolygonBox[CompressedData[" -1:eJxNVM1L1FEUfY4z8xt/8/BPCCKMFkXloibJFtl6opmpaGxh9p02Y62iEe1j -F0FhUdkHfVGb1CL/BG1tCykIIgUxcl/rzuEcqcXjvt99591377nn/jYONiuN -TAjhOlY7Vj0fwggcvVg17KtYK/BPZUOoYD8E/4L93JeSEA4aczKGMNEWwpZC -CNvSEDbhzlbYOfg/A/MBdhz2GtZ80Dtjeb21Gdg8EriL+0+jzu4XdD5u/C5g -bsD/Bpgl+Mp54ZkLc5rB2fes9uu57U6Eu1dQjquJ6iCOmB5870kUYyCqllOw -bcUQ7iB2X0cI/Xnxsor7pXblxHyOwB61v5LR9yHHJHfD2DfsJ+ZcFH4YthHl -+5koHuP2Gl83J+TjV1Y1TkbFm0AdF6NyakbV3GXMXuBr+F5E3E/gfRr+d8C8 -wv429q9h3+K9K8A1OxSbb3QCvyNVnO2wv1Px8ycVd+R6wpwve/8SZ/vwVgv5 -zGD/EPj3sGtZYRh7FPYH1gbEHzS3A+aAnJCzOmvJYQ++a+wDViuvnrTcx0dR -sR5HYUYdkzledd9ZB/XGnj2xzp7BDkW9cxN5no3qy+koLX3LSU8L1gPj1HPC -s498n+fMgW+23FPWtmTtsV5+d3p2+j0/ZedFDPmeybq3OdebUY5jxlN/1OqK -4xBLfVwwX9TO4aL6e7lDs8F7I1GaYF5nou6x78yfc8hefSmK10qieqgT5kEM -dUHtsZfMi/5Fa7thHqghxpz9rzd877hrIf5B1He1KF6nPKtV48nh/lSz212Q -FkqezUvWM3XNO1OezflU+znri3kzH9ZCHVADszibxNnHVDHL1mfZfLIHX4vq -U6YoX8k8Mx7vktNl63x9Jqgj9pS8kB/OO/vY8L/xBd67BezzVP8UxjsRFb/q -3vMeMcRzztnP89Zgj3EVa561UMtd1iE56zHP1M609UMdUzvHPBO15J9OGYv8 -soesjX3hf3fN+uxLpfsDqe5UrYedqf6/3al4IJ4c/gX8bcDy - "]], - PolygonBox[CompressedData[" -1:eJwlkTsvg3EUxk8vWn37/xIiGhL3QQwY1C6aJkIt6hY0bZlEmjCLhJCousQt -TFSin0CL2UQiEYsY7Mx+xxlO3uc55zmX//M2pHOJrF9EmokgMe9EvviOhkQW -wHeeSIlCX0CkUC/SDt/2iTSR6wTfEkXwCEPyEZGMs94EfBHcSr2Reoj+GP0t -xFudSA+5OLUqfB39GnGIPq9Bbwq+BL5As4l2gNwZOM6OLZ/NbIMvw5N+u7EC -H3O2O8WOcfCQZ7su6RkEd3h2+yrzi9Tv2f8BLhD7znJae0fzg7abiAXtzfp2 -9UC90DeX4bPoM+xL0jMHfiJXpraC5ipsnqg3N+QeqSWidtsEsYc+y7zegL3x -3DOP/r2Cd8ErYevVmTq7RlwHzUP1MufMK/1nWfCvZ7cnyFXBuYjd0s8NWfAL -+3d4yzea16jltLYBP0V/4hnWm/Q2f9S0z8yrMf/Y2b/Sf3QEniaGQzZzCjzj -zItP7tmlf9IZVk0afODMa/Ws5OxGvVXf9AD+A8rhUwU= - "]]}]}, { - EdgeForm[], - GrayLevel[0.155], - GraphicsGroupBox[{ - PolygonBox[CompressedData[" -1:eJxFVD1PVFEQve6+fe/tvGf8BRYmaAIRRA0hAVkTsDNK4gdWGtHSZJeYxQVX -g400QuNHtBNX0MJEUST2Ahb2VsSPRBB6P2rP8Uxi8TJz7507c+bMeXfPpdqp -aiGEUMNXxHehFEITzif47WkI93aEsGIhLJn2r5ZlTxcU8x77L6IQ/sDezUNo -xLgDu5mF8B25NmDXcDaJO2O424PYTex34u4i9h9h/Rq2gvMRz8nYBfhH8ZWL -yjMPHPWyYm4DVwP78/DXEN8NvwV/Gf4u+NMF5b8c6z7XJ4DjOPIsJCH0FuXz -/jD8KdidiL+I+ATrW1ifBaZ3qHkEteq5zsZhO7AfIaYN+4PAM4OYvanqECP5 -qhdVg5hOok6/9zODux2wNcSn2BuNVSv1mruD6hPPLPI0csVcg70DngZi9djv -/JOfORMXVWB5mCvHAVMO4mRfnaY+hxCzUVI9Yn2FfIuxOGR+4m0viH+eEXOf -+4zZRp6PiNsy8Uyf3HL+zMfarElOWLctUl/sZTXSGXGtumaona+ms2+wD4B/ -ArXu5+rxfEl99vqsie1cJg1QC2cyxbxNhLHPeb6ea/bNXHyuRKr7xeR/NsVO -eI+/sF7H/k+Tltadi9+mnshrt6mfLtiQqUfOfyCVTqiXHueDGuB9csp5VVNh -f4yYuUT6uFKW9is+S+qCtRlPTOyf8yV/rEscLeeCuboczyET95wpY16a7t1w -XJwT/4WDpjnsS5WTvHA9mqrurOfhXIh/LBUmavZ5Ih0Po+/tSFrifA+nyj9i -0h91WIMddC6OmfTF2Uz6DMk7tfTBZJcS9V/xN2fK/0lim/b/n3h+ZNLuFmzL -xAF5fWLi+ampZ/b+xlSr4Vw1XBvcY05iIyd8j/5p3cQLa+434Wk6/8+S/3iX -/Z26idghEy6+kX8BQeme2w== - "]], - PolygonBox[CompressedData[" -1:eJwlk01LlGEUhs+MM+/M+8wL/oIWgRKGXykSFBpou0rBr12htivIsrFRB8mN -btSNFrjLLGshqKXRD1A3/gUtBTXd97H2Ot2LA/f5vs95znN1aLj7WdrMWpAM -ci1vlq8wO82a/SqYVaPPpfBhux7MsrFZDjwQmRUTYrDNUGCf5AvwB2QWXINt -BTxJfhvxS9g20Q+R1/h20H+CV3Nm9+h1k5h6ap8H1apEbyb3GH03oxzP7Q/y -fYdTK/6InBj9MXwm4HMfzh/TqvkAvEH8OP472NbBDcgV5qyiZiN4Hmn02fA/ -p94aNTYj5ezh+xHE1Wf22f+hr2VU46/nYruNr5N+n5nlXdDsJWzL4Alq3gKX -qLlA7XIirr4z310Zf2uknb1HP4XzSVYz+WwviZ8idpCYEvgNMhapptfeIWcx -JU674K9Bs5bxb4GHY3HZg+8n+E2T05/Wm3zD34R+Rr8W8tvRnxJfxLdCzBPw -NjkPs5rRZ63K6xb8TY6IH4nV6xExfXB/gd6TVk4veq3vGH5dxNSBT/x9Uprx -DHw3qLfP0BHU03sfYPuD/iXodrym1/Yb8Vtxjstw+x0U6284CLfFRLv2G/Bb -OC/olv/3BL9KtEu/cb/1roLebpX4zoLEse/4LbFNQbfiM9wAd8Sa5QJbitit -nHbrN+O3M5rob/ib+dtdAslda0c= - "]]}]}, { - EdgeForm[], - GrayLevel[0.217], + RGBColor[0.1, 0.1, 0.1], GraphicsGroupBox[{ PolygonBox[CompressedData[" -1:eJwtVUloVEEQ7cn8P/N/zwcXGL3kkhBRE4lC3J1IVDwkmLhFLx5GPagouDCu -I4koegkk4AaChnhx9Khg4sGLCAq5q8Rd4hLRg3EB9aTvzatD0/2ruqpevaqu -X7fzwKb9Nc65Iaw01srIuTwOU2Ln1uWc6widu5g498I79yBw7jn2qdCPpJyr -YIVpyXvh5BBsyvi+gzut2LdA1oZ1AvZ/cScHfwWs5fA5lHXuNOR7Ms6dSXS/ -GMpma07nYdy5ifUYuBbA920vfz3AuA76As73oJtDG2AZwflsJB+lWHeKKdn3 -wP/VQPZ5+A+hm8TeH+vODNh9R6wE51OQP8Eaw52n2OenhZlxlgJrMzAvx/4e -unHIJ7D3Qbca/gtOWNpD4Rkwjvqwz8U+iHsVyEcDcTjPiQNySh952+mHcZgD -c6TvyVBy3l1l9ozTYbGIkxhnYv2B/jz0TZCvCWTPen3KST4b+R5H7nmcN4LX -IFQuxNPt5X+zF8fthqEzFB7yyZxYc+b1Cvce4v47rxqz1gn2YS/OzyFWCXwV -kc8R7F2wrQtk+zsrDMTyyYuXk9YvzIH462Gfgs1LLx+U1zrt1Vgpnaljbo1e -/mfB7ofV9HiimjNPxisnyjWDuG+9sDTg/uFEvkPrH9aA/UGuR43DZYn4aIxV -34eGpxyJr0vQH8gKu4+FiXH5TZ+d1rvsM2IjxmuR+BwDljL8NWbUJ+wXfvN8 -MtB5ptWkKSMcLYnOS7A/wl6bFa6unGKtx744UV9Oj4QlNDzMK299+Mi4TUwW -WD9QVvWL84VE2JkrfdHnv1jvhzytSBSf9+lnL3Ql1G5frDfM3rkL/becYrD+ -nTZnOG/Wh5oFFcRoicT3BDg5mFZ/D9o74xuhjvwyjxL8fLT3yHf52XqJPUVu -yBex0o7vh7bj1g+sD+vN/F57vXv2Nzlkf5CDD/BZE6sP661WPCPdav15lz1E -Wdrkx6zn2fttkK3Fembzipywjr2RdHcR93pW77g51gzjzOK8Ijft1jNl44by -y4nqyzrvisXNffg7GKlX+r3iMB79VsyeNfhlOtZnwGYgZ+Ei6yX21JWseN8N -+bZI86sB5+2hsDEX9uOgzZxbWdVvA/C0Rpo7WxFnhs1bzt2WWPky74LNUs5U -viX28kKcd0Ty99OL5y6bn8TfapwU05qVnIfV/4zh6bH/Ds9vbC5xPn3xqv11 -61P6Ig9fvfzwv3corRwr9hZY01qrB/m7gfy6c+KQ/7pJr/vkZiIQTta9y2Yj -z5yz7K+jiXiab3Xnm2E/ToP+PwVz1C8= - "]], - PolygonBox[CompressedData[" -1:eJwlkztoVGEQhWeze71PUItokyYYwWRFkfjAuIEkYiPEaEzWctUiCoIbSXxt -iKAogmjEFwgqpjFaKiSxSCMWgr1CVHwg6ooWrmhj5zecYrhn7pwz/8w/87ce -rA4ebTKzXqyAXYjM7gAm82bjsVk5MduOP5Mz6yRWxJ8Ct4RmC5nZBjjdcAcC -s0f8O8W/jPg/NKfBq9DkieewJriL6M9w4DPib8FZKm6Rs6vot6GpoF+3xKwE -bkPTjvYYdhj8BE0N3EOOx+CNcJ6iLcLfBO7KpPV/WzP14L3sp759nFVP1MtL -zvwOTokv89xozsJ/l6hWr/EutbcTX48/it2mvolM2rXkr4Fn+ffCVNMQ+f+g -X4l2DP8v+Lj3Q+4WOOPgyUi1+x3PET8SiztPfJpch2KddQ/OCHgYTl9BM+hG -+ybR3QVwCsS3ZOq9TE+bwbtTzWIG/VXiq9G0wt8Fvw9/D/pmuPPYIHgh0ll+ -xw18w9bgd5GjRK4T5LyWUw8nwVX4HeAaOS/Dnca/BL8Z/U/8NvdzOrMD/waa -nZ4LznXwa3IuBtoh36UHoXp3Tn+qGr3Wui8jfol8jUB34Hcxi/UQHybf+Ug1 -eC0T2Cj+RWxHXpxOv9tQuxWQYwX5xmJpK/hl/EaqmN/JL/DSWL1UsDJ4L/l7 -C9oR35WbmXrpR3ML/In484J6/gh+n2jW/u8DuE7Oz4Hu8Fuqmfns/A5epZqB -z8LPGEo0M5+dv4GpWG/M35q/qd98l0eatc/IZ3U/1Kx8R31Xv6TaTT/zK3gu -VK/+Rv2tDqSq3Xf2IbErie7Od/YAuc9legs+0x/E/gOGZ3cq - "]]}]}, { - EdgeForm[], - GrayLevel[0.279], - GraphicsGroupBox[{ - PolygonBox[CompressedData[" -1:eJxNll1o12UUx5/tv+339h8RiUVL0OrCZcPEMlrG6iacWkwtHS5srqgurDE1 -SPAFzRkibLOo1gsYdDEvuhE0BiUmRCLVXabOq6guVoEWmKiofT9+j9DFw3N+ -5znPef2e8/zmDAyufKMxpfSLVk3rSlNKrSKGxbxQpnRG31/lKQ3WTGfiX9J+ -UesByXdnKQ1oHdf5usz8b7jfktK/IXNE98d1b3aR0lzpnC1+u/Y+yX0v+vOG -lPZpHRPdlqyfuye0JnR3RHdnFNYLr5Lsn7r/o+jPcsteClvrwh/84N5M3ZmU -fLvuT+j8gM4q0Y+LXiUd2yW3FbuS7Wg0PZl8/1L4gO9za479H92ZEu+o7G5W -jGdFH5T8LvGHRA9rn9doPjo7Jdcluqc0byr4f8uPe8ltPaUfmhwLfn7X4G/o -C5lj/U13P5D994lftubkLlaD4nilcG1e1X5YsidFdyb7cKNm3y5GHOTvqnTO -ktwWya+X3uXif1G3L5yT/wnd7RL9lPbRwrZ7qpR2NNkH8vMxeQuZMcn0S+ed -ue9uDT+vab9ec97x5Vr482yDafgLCsseyVyrZ5qcg9bccpd1PlM6L9f8fbUw -faWwPey+qzj+KJ23XXX7WIs6TqtGh7RGtFJpf27PXedtIUPdF9Zcl3mlc3FK -8e4ubRNfBjP3Rl38v0pjC2wWlfFXan9eMqOys0zf5/V9vlk1rOwXMYE5cEQ8 -YIlYl8dZo+LZq/2+3LU/obVM8vfofqv0XK/cL9SY+i5SnB2y9Wjd/QqfPtqs -+wvEf6LufKIbfcQHJoiRHvmo2T1LrsghNXivdI33a28Uf5tk39HZsHRtkM49 -dWP8WtRikXxeI5k9uWOCR03JNXbB2XjNmMAG/t4IP9bGjMFncjkZ8Y7Ktw06 -G5Dub1s8F8Dkc/LpSdleqf2T3L6dEn1a66j4P2s/l9neft0dLV3fIckeb/Js -IZamwvrOltZNnDdjbHQe8YcYN0Zfc45+7L1dmj8gnS/KVn/MPfIxFPLkfkfg -itxCE3t7zL3tqmNbZhr7xEjf0eePKb/z9d2p/UbESKzg6GTUGIzgr9Sk30v3 -9a+l5wi4Bb/Ug7q8SY8Xnl/M4JHoBXD4dcyvkbpzsy/0nm52zHwvyVwn5urS -zD7s1NqiOwO6+1bd/QXm4ZMT+ORyNHoODMxvds+CkbGQhz8YPDAzHj3xYXJv -dgRWyQfY7Yjzu0KGWQqOyDlYG4m4yCU5pca10EMtsDkWvbm68ozapNz0il4v -/77MPPOgyd22yjVhBmP/wRbbI8f0DnaoYVvMaHDX02ysMxPRcTpZhpySz4XY -o6dy55Z8kaub/maW+amy7+B0Z90x8V4trjy7mGGfBqbPlX5/0UWNqFWt2TTx -Mo+oC/vSoImfedIZNeUMXn/4syTez3WB7RmVdd5ReQYwU+hXcoAMeQAX6ELn -VGk8nSmNJzAMVmfFHGOe4eeSiB1b3fFe0/fMR7BwMPNM4n0gN+SIPOML/xbE -OFO6WvS9KXqxO3xGV3fk5O7KWOPdo7+Rp4+wAy7BH3Xr+t+cYsf2YuX/IXBV -N5agO+JtXBN1fqRubDysvZd3kLPCmGS2Y3t14Xl+W+H5xRxbEbXrv5XzFucf -/6dL/xcdyF3H6eil3rAJrvpL161N8a2Q3hd0b2Xh/kY/uNmr+0/zPxBv6GD8 -w3B+KHp2JN533vnxzL3YHvr64l/iZX2/Lvqlwv8ya2NOkse+oDfm/pcak1+v -Fe7T+wv32a2e4D+DnBzLbH86fNid+3/icGkcERd2/wP/5UW1 +1:eJxFUctKA0EQbGbNbE4RNnfBbxBBfMAGT2JOfoIfoD/gycfdXxF0cxG85B5B +PyFuDgq7koVI1MQquoKHYnqmq6urezZPz0/OgpltAQlQAW/AGOhFfzxIzfpA +F/ExzkcUvItTtcwucC/AvQRyxFc4Z9JaB76AGngBRsiPk3+NSjqNOB/AIvhZ +AlNxVtypNPfhYwlejl5ZcM8bwBzxBOcQKBDfB89TeyLNQ9Tc4e0z+nsjb4Pg +/qlzg1wP8XV0L7Vqa81DrV3kttfMjtpmt4nvqtSMnI9z5epPzUx++F63nPfQ +9n10tZPv4Fql/iET/xe9nhD/RK9hbSf1vbCuY679LH4T/d7XnxTysdrvq2bg +vtiLczAeKr8UhzMtxJnLH+Od1OO96P3pnx64s4HmpZeR/PDvZprpDwTiaWM= + "]], PolygonBox[CompressedData[" -1:eJwllVtMz2EYx9/+/z//36k5RDNmctg0siRCIm7c5FAxGi6qhRu0DjZtHVbE -XKAYYraYC9xjNlrrqhmuSKdLXDhs0gUrUz7fnotn+76/73N6n/d5nt/yyurS -MzHn3HEkgQShc78B7bOd83znGpClKc7t4VtF4Fwq53z0UmfxHd1lnG9zPh13 -rgp8FZ1GdJuRWs+5o0iSAEOcx+Ay0OmKmY1s3+NjEF8Z8Jnwm/g2CHcYnTzw -MN+WcO6FHwF/RHrAMeLF4dcgueBs8t0aOXeSczXnR9h0JZ37hf4w+vXwrzyz -ka1iKnaItBOrEr4B+9vYZMNlorPStxqoFnG+LUD3CXwxuAt+VBj+KPgYUgJO -C033COf9nAMkFTxJDtXod/pmW05NO8BzkH7wC2QH+RVjfwu+n/wfo7+NnNYr -PvbpnuWk3E4h1+Cn+IaJa+IO0+C58OnisWnH9qxvtawgpzIUe9AZSVhNVJtV -8Iti9kZ6q+dJ0y3Exwa45tDeJiS/JnA+33bH7Y30VrnEWIttFvE2gTvx2YJ+ -Dud6/C3E5im2s/GZDm5B7oBXKD6xFqhnsC/CXxr4XGRv0UeMcfjepPXeXqQS -3xsji6U319tXEWNJzO40Dl+XtFiquWo/EFht1DOD4Am+7SOfCfi/4CzkheoH -fw3+ALKN807OB8F/8Pca3Z/4/Enuo3zrg7uEjxWe5ahcdSfdrY383ibMRyv4 -Cv5vxu1Nr4K3R1YbxVRs9Yh6pRCbfPxdD6w3VMMb4GdJ64VGdA7h/xz6rXHL -Sbl1J63XpzgXwM/HxzR4HTHyiLU5Mqw30lvlRzYr6zhvAdd4dnfNrGZ3nme+ -/iHTxFqNPMZ/Lfx5+Ci0XtbMaHZKAquVclJuk77VVjOkWRoLrXbqAfVCpWe+ -apC2wN5Ub6ueVe8OBTbrqvE9dNsD09WbXQB/QvoTtqP80HKcyTVud38Kfxdu -F/k1e3ZH3VUzVKDe8m12tIMqfJspzZbeSG91MbLZUU/+wFepb7M9s/PUq5Ht -EtVEtanz7W0U84J6kZyKwB3oPIgsB+VSpvr71uPq9XJsysD34d8lrGe+Ea8j -sN2pnlZvD4Q2K9qBH8CfA5tF1eALuBudNwnbQdpFmlnNrnaUdlUO/MMU0/mK -fgq8i9vO0O5QD6uXLyMxuKnQdrvuUB7YTtJuUo7fOb/0bJdrx57w7Y66q/4R -i7EtDqyXFVOx/wNx5sAp +1:eJwlkD0OQVEQhScP96ko2IBFCPGTeKXQsAQLYAMqorcSieSFUqOnsARRKUhE +Qfx8J1Oc5Jy5M2fO3MpoMhxHZlYGWVCMzY4UUvAIZiv0MmP2RtfhV2on+n7o +FvqJ3sA7YAavUXvBq5g10E30VwvwSNDt2Lk85T0PPrsFA/iH2pm3A/qWM+vm +3WvP2IX3fvBs2qndd7COPJOy9ZgvZdxDXvKUdwIWygqm8AL9qfIFv02Zlb0T +/DZlVnb1qFeefXQh9mz6I/2VMinbDv2B/wFIZDDY "]]}]}, { EdgeForm[], - GrayLevel[0.34099999999999997`], + RGBColor[ + 0.18461529999999998`, 0.19915007499999998`, 0.213893425], GraphicsGroupBox[{ PolygonBox[CompressedData[" -1:eJw1V11slFUQ/ba73f1+VmNoTSgUwdAWwRqkoYRiMAFjUXkQkDQUWrUN0QcT -jSIkCiJggRIF2hIC3WgBiUYSfaABf5LaxoCEJ3mgBRN9UiAxFomlD22R4jme -48OXOzt3Zu7M3Jkzdx9ufWPN60VBENSmgiCNdSQTBPW5IJgLeiboaaBj7A3i -+wm/L2LdB4USCJ8FfV8keg3WdfimgS7B2pYPgjLQT4VBcCkjPnVLi8V/FvZn -JNKljQfwPQdeaxwEs0EfBX0EZ08FvR70VtCLIF8D/W7Q52BrCnTrsNcJf6bb -/n7QpfatxP6URvL9kv2nT/RhCvhVsPco6AL0bsay9VUouaGUzqYu46d/67G/ -HN/PoE8gxjz0pyfSoW4ZbDbDvyZ8T+PrA/8Y+H/D9nac84X1O6C7ORsEB7Fe -x3ojq5y3QG4X5N6BnQHonoTsUthfkJb8cfy+DJltWLux/0FeMX8Oui0lPraD -asiXkcaXgf/zsX4HfhPk5mGvEvavZER3g9+G/QT0p7DRmVW8lfjawc+bz1wy -J8xNA2JbmZOvv2ItYD3EfCfKCXOzJyWf6E8v1vt9X4/Dhxj0X4lytML1xjyQ -vob1j1jyCyD7fCT9kkT1eC6rmixN5HMYKX/Up92WnGqYtXyZOrCdjlTPV+Bb -O3Rn4nclZGdhfTBS/eyFzw+BrgD9EtZyfO3Q3QtbGy1PvcGM6HHYOVwkedL0 -lT6vilVTrNWeIsXDOJlj+vQjvn7s3w2Vm4lQ/tHPK7H8u1ek3A3GooNIsTMG -7l9KK//so3vQn4TMZKieYe9MQP6RWDaZg3LsV+M7hd/tkGsEvSVSbcbmVyfq -g2+xvxz2P86oVg/Bzg7QXbFqaYfr6RvIXQV9C/y3Qtk/AHpOLD+3sb+Rg0NZ -1dIR3g3rJ1C+wiLlt2AfWIezIT8KuSx+v+aV8TRHynVvqLPLXc/k0Rbt1EWK -i/F1RDqvE+vL8GcCdicT1TXrm73MO2AtMUd3QvVOIVQ9sa5iyJ9BTbyAWH5A -Xruy0mUsjKnLdG1asdOnYfPZF4fZy9DdAps7M6JbnIedpmuyohkLbffaN/rJ -cyuNc69m1Yu0zbPXZJRrnvtmqDgYD/uCdcF91sa6RLizOdJdNhq7Co73sjHv -orHuOn5fhO61WPVB+UbYqMgJZ4irPIc1zLPmGTu7jd30fQCym7LCLNb/Puux -95eE6mX29FXI98HOENZ/cMY47ugu1mdC1U1/XvdAeeIPZ8X5lGztyCsn72P9 -DfoXYOeTUPhY7nr+0phMXCf+sta/D9W7oeuG9VWfUo2xh/oz6rs2yG8CvTtW -bZY5xrUZ3Qvvh7J9lh/Fetu9ze+C87M7r5xwvjE+3iVnF3uYuqw93ifj5Z1l -spqRpHfFOrc11Ewhpg1APxcJ54ijzD2xhj5GiTDmd+gVIFsLO4sT9RExa9wY -zPuo86wftb+0R/w8nRKeZZ0f9vdQRjnqyGlePpZIjrjGe2FNDrs3btsm8bzX -fPbCCs9D6iSh7I1Ekr9h3H7bvd0J/6uMIcQS6l73fKRfxAfqf5hX/XGmEfM3 -OD/E8kHPKdZyk/nEfmIpc89+4cr8N7i3mfNVkfJzLJS/TcbturR6lX16tFhn -9XvGTniGtkTKdWsknCI2zYhUx7zfWYnsNdufDZ5RtMOcjThvzDdnM23SrwbP -WfrH2mBfT+aEDe/yDZPTzOVMKHV9sUcqc+JRnudnHCN9YF4YF7GiwXixGjLL -/EahLnv+vPEqY4wijvIs8tlnJ43DjKXF8RDXaIM4X2/+gO9sLK1eG471rtqT -l6/njA98lxFn6DPx47h7mXGNFUuuJq1eJp9vk5vFqse6UOufyPPNRPzhRHOR -vZ2K1BMLbZe+DDnP7PUJ3yfrn3OItXYn0bkTifqsx7Oqz3P4v/dNkfj057NQ -/vNdRntjrg3W5FrjBnuAuWfv8Pwx54a5b/T7kO8p3gfz+KJnH2dgV6T8Tg2F -Je3u5YOe+3w7/z872b+ncrqHGvA3harjTvj2i/ncZ89xhvE+ayPN/iVYD8ae -bZHumbq863b7znOZx4XWvRMplnGsq91H7KetibDwVk51VeW6ZB1VucZWmsc6 -r7Ic+XyDcH4t95m9PrfCMqwT5rvC9LBnKLGI+uSfdT3SDmMmBmzz++qVWHh+ -xu/wa8ZA1jP7fMCz+ohjfy8Rf3ui2jvt2TQSqy438k0e6/09J9Jv8jti/Sb/ -QN7/IxwX87e0WDle5PzzHnpC5Xo75D/Ka6buz2vm0+Yp3ytj+jonOyc9/3hn -vLulfodPOt75ke6RtTAaCUtv+x1Y7TlSb6wmFt0wps91Lzd7r2CcaDGW8m3K -flifqI4XRtpf5hifiPTuWIz1yUTxnsipbxY4ln8BQEvEZw== +1:eJxFVDtPlFEQvewu97ugvEKiNBb+gNWGRFgkKrFBiYqvxs5XVFDURFQWNgTF +QkFLH4WNSyPGUIj+AgukttBeEtAYjcQQjInneI6xuJn55s6dmXNm5tt6cujw +pVwI4RpOHqcTH89x3kJ/kkK4UwjhcZKNeglyDudXTQjv4TMRQ6jD90/Id7jf +BX0L7PuyEJqg90KuRtmboA8gVj/8LkAegr0Z9tPQx3Kyt0CO4FxE/AGcq7i7 +zXy1IdytkV5E/B2ItYzvLsSYxt1xFD8BWyvuR2EfwpmBvgL5oUZ5buI04O1k +QXiI9VSS/StiLBSEgfWv5lVTGW97ojA/TcJALI2QS1E5emEfh94N/V6mGIvm +gjgYl1he4HsN8rMP/cnhJ7ytQr+Bt0Xoz1gbYsYozJugd+B8hL4NtodJGB5B +DuNNO/yHoySxzgf1hBwQy7I5YE+7MtWwO6qGNdvb7E9uq+aGb+5n6vVe+H+r +FZ7fmTCxV8Q16F6R2173/QD8Z3PCyDwlS+aqz6km6peTch+Lyrfi+h84L/Of +46wg33nIUtRb9n/dPJLDCmL8yKtfG5P0DUm1sub9kEejcjEnMR7JC+eXqN58 +j8K04BkYz+QzBdwvM9Xd7f7S5y8XnoElz3id559cls3/gOevwb2YMbdvouq+ +4v0qee9eRe3Aa8iGpFlsTOpVfe5/vyruGfeH8Q9yF5Lmp+h5qDoXZ4d2ckvZ +bn171F2H96zN+1Xx7DM+96PJ9bMP5Zx46jAn5IY5Ol0bd5WxNif5NntOOMec +59qo/wW56ovCPev5YNyy/blLnJ8pyOnMPvDfmalf7NsZ55iPqnfM/C96l9kj +7jYxnIVvXyZuyTHndsS51r2frIH/kln3gzW2mmeeUe/IZJS9H/L6vx3MlL/F +NeyJ6hl37kTSP6TH/4k5736/49yC/AOeJK+l "]], PolygonBox[CompressedData[" -1:eJwllVtM1nUYx3+87wvv//DKhdBEhIqVrpLmZGKio60uWvMqqU3kogJaXrRq -HnDzkBkBykoOmgtQwdaqzXETm9aFwVqHeVVbE2yrm9IuXKJNvRBI7PPte/Hb -nsP3eZ7/c/zXtL3d9FYmhPAmL8dri0JYjqA2G8L7SQjVcQgn4I+gq4L+JQ1h -pjiEhwCvQj/Dq0R3Af4y9A7sa8HXY98PfyA1NikKYT/0w/hYie4SsnNgDxdC -WAE/iM04/B/Y/IDuNi8CvwH8r/jfhr4B+gr6LuiL6P+CPo3NjznbyHY776Wc -fT4A/mv0I+CfgP+AWPPwQMIBZAvKNXbsFmQVosE0gP0U2RT6DmQH4U/hswf+ -FfhHs67Jy9DDkX3d513C8bvYby8JYSmYTej2KV9yfxH719HXkFM59cuBScDe -RHYZ3XNgUn0b+jTrHGPob/O2VU7K7Wri3KfA/IPuZt61VQ3+RLctda2eQd8C -3UT8MuheZFuge4j5E9jN5NsNPRZZVwrmGvblYCqhfwbzBboXEusmiLERfhD9 -x/AXsf+N2Kvh18HXk9MIfDuYtfC7yO9D/C+Dz+VsMwD2OG8EuhV/x1RbvnEI -20lkjxNrXexv34LsLP4O4uNIxjU9BB2jL2QtG8V3Y+peNYJ/GnoJsnnFJ2ZX -Yh/ypZi/Q5/P+9vV02bwbfh7A3oIWT+6AWzqsp7hnfgqQr8I3cP31sh3bOxd -MAvQt3l3oB8hRl/ePVFvlNM7+A+xZ0M7o93pJ4eOEtdItbqHbA7dd/if037w -yoo9M4v42ot9p/qhePAd2NSVeEbXoPsk79zVA/Wir+DdHSPmBbCL+JtH/z3+ -qqBvxZ41ffMdzWbs3ZihXucjx1CsAjaV4Ifh66BXI1sVO0flqh14EP4pMGcy -zmmA2PXwoxnbrIc+ic/JnGt4P3KP1WvdjMegN6SeHfmQL90E3Qb1pDX2DGoW -NbPXwQ/y1oA9BH8c+lhiWjOmWdvD64R+j/cRuhWpc1ENXk28c9o91fh5sNOJ -b5e+Ud+qGqgW07wb6D6HP0q85dpJbOdi914zplmriDzLinkC/DeRa68ZugXf -nXgWdVM7E/uUb+38V2DH8TlR4h63omvHf5TxjXwNeiPvWe0ysl7w18lnttg7 -oF3Yypsu8s42x75RulWyWQ9/tOBdVE/Um6m8d18xFVs3SrdKM/hv6h7/32v4 -AbCl8OVZ1+AzsE+m1umm1kIvjV0b3TTdtrLUt0I3rBz6b96XRf7m2dQ3Xbc9 -QZ/HtrHgf4V6ujvyDmgX7oJf0OympvUN+hbNsGZZN60a+kZqX4rRELnn6r12 -RLvyHyLc2oo= +1:eJwlkrkzg1EUxV++JC/PFoyCVqnSKCRkMDRGhlgbHWPfhsIWS4QoTFJbCg0a +FJrwR/gP9AoUZKQwlhm/O7c4M+e8c9/9zrv3qx9bGlj0jDENIABOnTGHkGsO +I9aYXlAJ3wDjeAfoLZ8xNegM/Be8oq/Qf/D1kDGX8CawBr/nbBM+T8170Jgs +ZzH0DcjBW/Bf8ErRzeg+dBU8CSb43izoJ882usD9HmoWfNozDt8DUU8zn1Fb +4P4t+puaTnjeaq8E/rTTN8nbMuhj9C73I+hBvzEpeBf+D3fvOBvFP3fKJXMK +bxm9A68DQ+hamQn8iDsWnabHiF8zSbY8/mNAM3+Q/83q26Umh47gX6Cf8Bvx +Tpxmk0ySbdXqLKUmh5cNalaZ8TNeGWeffs30gJ5CV3s6szmnM5PZFampQIed +8qTMHN7tdHeygyj3YyHdxRe6Ax1Gt3n6BnnLvtXdl4C01R7SSzKUw4etzkZm +soKedPrvyE4TeDNOdyEZJWvcai/5RhHebvXbssNWvv0PPVJQfw== "]]}]}, { EdgeForm[], - GrayLevel[0.403], + RGBColor[0.238882125, 0.262018125, 0.284081125], GraphicsGroupBox[{ PolygonBox[CompressedData[" -1:eJxNl12MVdUVx8+95957zr7npFHbhgGFOsLg5yDEocU4yBBJ8A3wBXFIm9Io -Ii00Tapp0dIGjcDY4jci2DCt9QN90NLazmDb0NYmfRNQEpO2Ck9VBkyKUOWj -6f/Hfz34cLL32Wft9b3+a53eVetvW9fMsmxtI8tyres7WfZdPSPaz9TB9qb3 -x9pZtl80X9P+RDfLduj8jTLLXqizbKf2jxVZ1i/6XdrvFM0jTdMv1r7WflTP -K9q/VHu/U/Sv16Z7XnxS0zy3ima6vq2RDgd0/3zD/OF5Ze49Z4OiOd02/0eb -pl2u/bkqy/Zqf5N4tltZNlvfxnX+kd5/oHWj7v1NvDPd/ZLo3tV6TjQPaT+g -b3OC/t+iX6P1gZBzIGw5kLLsX9LjoNavStYcfZur9WrRTdL+LdH9Qd83ic9V -op+aWz90K5LPS9GfFf+z2p/RerPeB3V3vtZ7pNvajvn06u6nWo/zaH9W6816 -vl/aricVh/+2rR82n638/lllfbc1rfNbtfcv6d6v9Nyqsy9Il5+IZoPOE3Z1 -vd+u7z2548Ld90VznZ7btZ+m8yPaH244tiNN58Ne6fuB3vv1/LX2+aj4/Fj7 -u/TtR1qXFtYN2eynh1//p/Ww+F4unS+qLSvX3bVdy15Smu/7ocOIaL4nnr/X -eaXnlO5+LNq54nOpzpeLblnhPCZvrykcm0MN5zU5zflS3T2qs/W6++vaMXpF -ZyuVM8Mt23OF7t3Zsa2Pav8sNSFnTdHzFfG5RPcWl47xJJ1NlT0TEbNjyTGb -0LpR68vif0vTMvEfufWI7k/R2beQG9/f0/nbIX8FaSr9Onofkn/+3HGeTtb5 -Ft1doH2hu/+Ubrsk4ynJWlJYb+r1YGXaCwFuO+8v5GTUAPn/J92/V/vHxO/6 -5Lwiv+AzoTvzqPe296Oi/6w0u0Nar9ezW2cLpeOs3HVNrd/Qtl3U7CytUzqu -KfLk047t6ms7jtQ9cYMGfHiwdv6/UNpPR8JXYxK6TzKOyqbjlfU5FnVzU9ty -0A+7yclu7Zj3Vs6HRXrWdbzOaFvuwsL1Rq2RJ9dGLs5uB+5kxj/25Awx2Rv6 -k1PcuT1ygtzYUbiuyPEzlWuOWqKORir7+3TIuSZy8omm6xts2pSbP/k+s7Zf -Zmh9Vb74jvYP186t1Xlggp4zcfcKna3J/X53bpotmfESXMYW5KE39n49me4b -Wp+vbedvSmPY1WEXGAqubIyavji3b+vk/Tx9fzN3XpJn01rGU3L0fNP4tqkR -34vI3cLvqWF63tkjH3zH1z8vnXdJcg61bNvx4IM86OELfpGLYy3zvvCefHdC -/v5ycqxWd41nk/KoZdkzQJ5UrkdqmVw7kYyxV4KfLeMd52DDZbkxlXj1hj7v -lMbMZ0r3gdmR95PbxgQwvyeZz+RYvxkYCiasEt3fM9uCr9AfDBgOHFgsmkW5 -sYG6nBW9CVvPBT3foOHeSul9CzGSrBuTz+dpHUzmd0p63pfMf7gKTIq7F+op -anxT1BJYgc30YmwBb6ghevSMruPXp3V+YZwnV6gn6KkBfA1+kv/gze7guaph -2djOPWiI2W1t68O3dYENyNogXbfr2/2VMeDptnMAnmDZ7pAD7sFnV+AQOQ82 -1DF7YB80+8MmehB63pEc1xVa76gclxWV+xM0+ODF2nzH5cOHk/vMF7U/2HUs -zlGjXfeO39bGY+zA1jmxEjt6NrG8V/SnS8dia+m+Tu5hbz+zhe7fqfNrtd+j -s9HCGDkrbEEXMLeO/kHebYvZirvQ3NU1pvyQ3EvGg59Ff1gSvgKPwRzowEaw -EqzDNmzsE889pWuAPjlWGlOY+35XemZjHtxcu+du1Xo8OVc6pePGPETd7sjt -B+IOziITnHmq61mtR/S/LF2rzIbYy0yG3/AlNcPdx5N5PRErd6GBljkAvcnJ -wejf6EU+odN0xbVHOl0s/idz+x2fE8MNUVM3RM7gd2qa2gbfwSZ6x0j4EX+e -TManM4HHV1Xu+/T/j5LngQ+T8Qa+8ATDJ0I2uTEQOtMTZ4SsDcmz0D1dx5w8 -Jqbf7nr+ZA69NBmLhpN92R8zEjz6oseBccieV1n/2cEfH4D1yCB3OKde6Dlz -I9fQjdmDmN1aun/QV/Er/qXeqd/54WfqZTDONxfGdHrLUOFeS99h1hiMfn1d -ZT37K8sgluPRZ6kj7PlH4ZjvCRnwB0/QcSD0xAZswXbWoZBFjbMHu7LANvoX -8zcYd6TrmlsQOTAUMzz0b0Ru9wWOPtcyTtKHmc/oK8ypyCZW+HNy3P0kObf+ -kzx/4LdLknv+4ch54jkY+QDmDcf8tyfsHUj+ryD3fhp4Aj5SB52YCZkNye1l -Mdv8sXT984+FHT2hz4rAt9dKYxO+/Uth3EEuPWFB5Xhv0X5z4Bs4tyzm5A9L -Y/vC+Dd7QHwa1FHl/rkyZtZnoifyP4HPNkZ/WV569u5N7tfjLc8M4OvSwGH4 -fBDz8cul5yf+Xaibgeit73R9d4e+P14YB8Hm8ZgPmRPpB/tiTmA+Jr5gEryJ -3eHot/tarndyoxH/g3w/EDTUKTVKnVNnzPeczexad+Zr/j+INfkD7cmYu/jX -WRr/OOTRqaCpo5aJ+6nCMpkNqdlFgb3PFv4O9oOb4Cd9c3X8W8AfDOCfqD/m -QeYk8Gc07IGefxtiRwyJPTlwrPQ8RP7u/9xMnD43u4MD9Fj6Oz5kbhqJ/3nm -tWkxbzEzLIl/DfJiKHKDuqK+nis9JzZjJicuKWYAfD8W/v9Faf78O54On9xf -+z8WP56vPH9ti/98YpUFz8sCf6cmy2nEOfqNRY7dWPof5kRl+W+GP4927duP -458AfAQb/w/ochBl +1:eJxNVktsVVUUPY/7OyKWAAMiUOxrZdRSOgEfgRmkJUiLLe9hhFFfW0AwBVs+ +bfkUNGiBNsKACAYcyhRClIEm6kQcwBQ60MSJsYlxALOaalzLtUgY3Jx99tln +f9b+nFuuH+0bXhRC+AFfgu9IEUIFxKoYQl8ewp40hGHQ7eCdLYWwBTK/gX8H +6yfgj+B7FzI18DZAZh/oKcgdj6L3gz+H7ysY6cDanIVQxncdMrVUd6mXdtbi +/jjoCB96sP4KuX248x7ORqGvGeuxVLZ7IXsK9APQr1ie9+7hK4G+h7vjqWQe +Yz+WygfKT0FXBbynkKlC/16cfRi1J7+p0H3q6Qf/e9ArQWfgvwP5HsgfAP8o +viroPdbBeNqCsKo5ro5EuBC3w9g3gl4NuhPrqH1jXC30D/yGRHKU4TnlGG8X +bC8FvaMQTo3GagHrW87NeZz1gZ7E+gV8q4G+UAiDMWO1Cft54LAR6zXInAF/ +Av5XITsB+hdilQu7z3D+O+hvcG86E36nrWcE/OOgr0TxJsy/a9yYhyboHAbd +GnR+xvrHjcMa8HPo+Rf0SuipR8XIWGdAn4T8yVzxvmHcHpWUI2J1CzJTkDmX +y9buVPYORen+OpedXan2Q+B3g96dC1diz9iYT8oQ9/2Q2QZ6O2R+TpUPxsPz +buv5GDg0J4rrFHzdAXrM8Zadl8+hZw7r5lx+NTlextfgWJZhfdt2WTPsG9ZP +s/VQ/6epYnwIuj/RnvQ14HwQ+6uweykVn9gOROnsMSb0ZY3raplraxoyJ9hT +uWrshOtwA/brQG9mTxfCfC/WyVw2bkfhNltSTbI/2XfdUf422eeuRLmjHOuK +OLA2WC+j7t9B8OdLioUYUeYm9KxPhC/1nAf/MuS/jPKdMSwBf7ljIT1YqMeG +CvnAfmTMP+bquWH4+CxTXRyO0rHUOX2QC+9Xwf8ul92/ITuQKT/3c+3J/9a1 +tNa5a8k0yzjHRhLtSTMPzBNzcbPQ2Y1Ce/J/wt2ZTOufufr+zZd6nzXHuFZk +ouknMV7A9yTIBufnVtZG1Dy8iLUVd58nimcG9gZATxfCr26sKctZw/7hTOh1 +D/Beq3uVs6TseVd2jKQpy9nCfrlou5eiYqo7rg/8dvANeew7lP9/Brg2lkTZ +W4z19SjdnK+cD6wV1gnt0g/GyHttvsvzmutpyjoZL2UrnrF13D2Es85CfvU7 +dmJJPrGljqp9bvd8pj7G12v9VeeQMnx/2izDuu1xLlqM56znQ6P766xxpD+T +nsk3EOuRqFlwkD0aVft/ef4teIav81tAneyjTmPIN4l5e5LpPvW8HzV7uixT +8VvCWqK+f4zha1E5YB8sNv4NUT4uWGbe9fnQb1OX+3zWOtmzQ4lm47xx2JQK +iwOJzohJxe8R88rzQevk20leR6FcrHCe+D4xHx/xDY+6szPq/Wx3fjv8//BH +rpwOOHe0OWi7zM961wnz2W7821zbL3I35HqYc32y3nba7i6s/wHJivRB "]], PolygonBox[CompressedData[" -1:eJwllVto1mUcxx/fd77v8+z/Xjgp3dQtrR0EmwcQm1RaKehd4Y3oVuGgmZYa -BVLNMljkloZTM9k80DqIubpRQZ2HCPHCO3UWCB1gVx42g2wVTqPPt+/FD76/ -53d8nt/hmdG6acXGXAjhbagMmp6F8FM+hFnFEM6XQpifQrjEeev4EFYjexp6 -Cry5EML3MYRny0P4fFwI1eifRb+fs24cVuNjGbif8xXoH4D/BbwNWgd+FJqG -7xfRaQTvx+Y0+BT0Jr7rsHmcWJXw40msB53d6M+EZoMPoL8bX03ozEf3KDn2 -wm9GvhX5QWw6sT0OvYG/TVAn+X2KvJV8C8gL5H4P+Ri+HojAk5BPy/sOR+FH -oev4bob/C/wy8leRd3FWA24n5hr4GqgSvguah+5KYnSCd5X8VrM5ewv7G5wt -QjaM/i1wLfKpyPvx14b8D87uIhuFMvj7Imx/5I5XuGsDNIb9CPKZ4FWZa6M7 -6+7yIV8L4Bvh9yS/nWr4M7nWceca7v4ZNqf0/tDavO/0EngGVJ/3m+nteqEz -ZX6jMXAF+VaqNuQwAbyr6No1qKaKhc4A+qehQWIFzqqCz67BD5NvE/wwPkYy -10i1Wor9QnSbM7/1EvgW8BLkF4n1Gvl8SLwKdCYj24HOl9E9ql4dRGc5/M3k -t63G/0fqB87m5txDe4n/SvTb9HF2Hnw3uZZ68z/Bz3FWCd6J/BtwAzZn875D -PbgqudZX8Pcd8h5i9CKbR7wF5LuTfKbk3JPd4Gcy95p6YjF4C/aN5NrM2Qb8 -HY6+23qoA/1t0AbwKnw+jO5N5EPor4O/Af693L3Rg7+T8BPxmSNWBWcl9Ldg -/xD64zh7D9yYeZaUYze59hU9K5rhRcjWl7uWv+mNwZOTZ7cKeS3yOyJwH/K5 -xLsN7SH2O/i4BW5Wz+R9tjpZR7od8MVkH/Klnnkscw+rl9WDtcT7pOS305vt -AO8vujaacc36xOTaqgfUC0PYn8l758yBvwe/nFz+xscY+OOSZ30x8i7wQPSu -0I7Rrnk++q6/wr9O/AtF16IF2ghfl/y2CWqJnlnNrnpojnorefY0w5rlEWwu -l7lm36L7IHMux5HfB79PDm0F9/wh5NXJu28Qm2PwTcm9vwx6EvxD0bX/B5sT -2B6J7kXtJO0m9Zx6TzEVuyJzrdUD6gX5lG/NtGZbM6nZ3IePTr0t8u05z5Bm -aW/ybtZO1G7UDtcuVw+NFp2DculAp414J6J9aUesVP8hfyTvHn1B/YnNOcUj -n3byeSJ5lvUH6C/QztHuUQ0H1K+ZdTVjmrWm6F5Wjl9Ez4RmQzX+OrpGqpVi -TsG+EF1r7cQ7yTOv2VdPToW/nXnXqIcXoru15NqoJh+Av4reJZp5zf5g/H9l -hXbOrkX3gHpBf9J29PdFy7STr5LL1eRe0kxrtt9Nfiv9of+Sy8HoWdCbDJV7 -J2o3aqdqt9aV/FfoD6gH/wcP1PFq +1:eJwllDlMVVEQhs/1Xc497lETjUs0gHYg0JBn7NQoymaQBwIVj0VEA8hDNjei +iaCsVopbqa2JUQttiEYbbY2FhY2RxGhhR0Tj9zvFn/v/Z+bMmTtn5uRne+t6 +VjjnMiAGU3nOPedbl3JuLHGuAqyHb2etDdvD4NxNHJci5w54576Dt7LhM43v +G+wF+BWCMvRHvml834N8dCv2KLKYWfhUYnuzYBK+hbW/8Ev4/GbvaXQt5+3g +jC54DziBHsG+hP0we7rgm+Cvg52ps/uJMQ9/6i33XehGdBYUw4tAK7wH3/3Y +0+iz6CZQAL9GUV55y1m5L6HL4VdBJmX/PM3eO8FqtYjPbeXGnnryy2ftJL4N +iZ29E2TgD/C5gf0z/mX4dqJr0N3on8QrVQ0iq6FqWS07uhyfGvgkGIA/5vwv +7F+NLoL/Iv4aeB5rf+DLYDN6kHhH4BVgCH492N4+YozDv+H/iH8bRg/Bq4Kd +9Q6fymBr/21gBv3Dm20CfR9djP5EfoPoafUGyMWWYz+2EXAhtjMW4eewN8SW +8wv0ZW+xxsE95estlnJW7jn0+dhiKvYMax3YOsGsOChN2R0u4Lst2F2qhlvh +q7AvR1bDlYndue6+iXjN+M+hT6XMR75HwQb0RnAssTvT3ann6vAvAB8iy2kq +WI1Va/Wsx9aOrortTo9760n1pnr+Cd+9rO3GVgjS2ObAaGw1Uq3UE+qNi+hb +wWZAs9CoeqIz3ngG9AWbAc2Ceq4X3a0ZiWxmzgTrKfVWJboN/czbLFWjO9CH +0Adjq6lqq55V72oGNAu13nz1T/q3NtZKUlbz9sRyUC6603p8X3qbHc2YZk0z +rdnWmzGGrcZbLqqxar2P/Xti6yH1Ui7Y3UygY/QseiS2mqv2o95qo5qpduuC +9b7+eW2wHlWvas+wt55Sb2nmrqBbQHNs/6B/0R3oLpRDibc3TW+batKCbTix +2dGb+NVbTspNMQY0y8FmSW/cBHw+2FugN+Iu/B98Lpf0 "]]}]}, { EdgeForm[], - GrayLevel[0.46499999999999997`], + RGBColor[0.287576175, 0.316482975, 0.33934157499999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" -1:eJxNmH2wVWUVxve555599j77kF6YkhIt5ZrOOJmSpuYMGIr0R0KjEnANp7hA -TX4N418llDWoYGKSFx0BgftBoYCAXOBCaNiHl5pmRMAAG4hQkHtxuNhI0wRD -Pb+exdgfe9513r3e911rvc961trnkqkP3vFAQ5Ik7aUkKWscVU2St9Mk2a3n -es0d1+QPNX+D5BOSH5Z8smx5luSkMUku1garJb6bJ8kxzR/W+EHJMnscy5Kk -Xzp9GqdJ72rNtWp8tsF7sc90PdeU/L5fesf17rjG8Zr7bOzfWva+2HNCZwzo -dyqdE5o7IvnLYS9nYuczRZKsrCRJm8bHKt6H/Vr1LJber6VzUPIByTMkr5be -Fumt0fiF3H7N0P4Hc+9/ILffAxGH1kbPcz66F4WdKxS7rtS/p0inX++/l/iM -ESX7+qjWXSv5u4ntuVW6f5J8p87PGv17rs5bIL15Gs/WkuSo5v+j8VI9F0ke -rvGU7utaydvqSXKl9tmp566I566Sz3xIelOls1k6Zdn1YsV6Q/Qs03O5dA5p -bkvZv+do/FKsnam139baTVq7ObfOJo0/1fvNAEZjd255g8YDVfuxquq90M9K -trG37LMYd3Bfki+sGCfcK3pbQ+f+mmM0S3v+osG+gRls7o21a8IP3m2oW2+t -7usqnf2Din0Gd1Olf1w6n5fOMPl/Wd34Jk5j9Hxavwfrdy82axzQUzQY2+hz -t+iCTWx4vvCZDTrrrMaxep7S/GGdM0T6ffo9u+J3N+v5lfQ36vdKjR16XpHc -qXG5nvWS2zUO1vO4zmnS2J56vxf07E99j9wneflbyRMSn4HN3FMtNYbB8n2F -z8xk2yT58+PEey2Szo80zk/sX0f42BH+Mj8zdT6Sl3tT+zshbHgn7OCeWiPX -FhW+g8Uaf6JxUINj8Z1GYwbcg/G+wPm0steSv49rzVKtmavxZxpHaO2kkv05 -FtgjloMjnoMid4kJ3DA98u4pre/S+p8Xzm/2IAdbcp93t8alerdOOssK5y9c -BucQszmR+0tl7yOS741cRAbHH8UdEkdy8engDc5B5qyRFb9j/uuK+Y3cPzyW -m4+OacyE56rOqGo8I582psb37dL/Ssl3w3NTnPWM9tzb4Px6T+v7pHtE457M -87s1bte7YSVjGJvhDewnHmvjHb6eDH//XnEekl9wAfnxR/I1tXwdOV3Y50er -5tGB4NIiNZfBY3fq7COaX6M9Hqh57nfSv09yi3TGZ+Yjzvqq5pr1DJXOW9r7 -PO3zCT3vl8yF75c+5v6jwf9wNr416/liZrsPF47rhxFbsLMsOAyOJkebdebC -irkRLhlatQxXrQ1deGNZcA1xGCRb6qnPHhs4A2P3yubJWvt9jXO0T5vmN8mG -b2SOxWCdVas55nnN934m4vxyZi6Ck9py15qFuXF0NrgCvIMHuH942THn3sEU -vAOu1uu8V+XPKxrPrzvPm+q2iziTU5vCP3DC/dwT93hH3NEL8ExqXiPfT6de -z9r+WIN+Z902TNC69Zn97agbm/8IfKJPXpPT4JN69Ijkd8vOed5TJ9DZUTWG -Poq935O8XHrPKw4HJS+V/Jzkf+qsf+msU5nxujbuiDzABmKCHcjcQ6f0btNc -k9a+JPmbkj8l+XNlxxx+XlJYfjliwDvmv1b2WVP0fCY3bsHvzsAaHD82M8+t -yrwv+6+UPLduXtyALDue1Pyl1CbJSyRfIXl4YQ5uLrzHweAxah3cjl+nFLcV -/4fv7ZG/o7XPvuB3cMRZYKkfnEc+s8e6iE8992/qxkit3ZP63YW5+fUxzY3O -vF+Xxia9Pz81t8Jd4A++2tVoPoXP74l6eV3k9pHA0Tu57/ivGvflrnP7Nf5N -z1HJh+ClinsAsPjvBnMU2Hg99dzQ6PuORB3nDrgL+GpUYQ69uTBGpsQ8HHxr -yMSamC8I7DBP7kzMHK/uzJgAG+2BX/IK/JDbVwe3jIh1+L676r5wZuH74x4X -a25v1TXpIc1PyZw3WzW+WXWde1Dzf666xt9fOPcnRv6TX92p68qQurnl91X3 -gvDK6uBB4nEmM48dCi6Dq4gj8aI+UCfA6NbcfVFPbvyBjUskL68YW71RlyaF -X2OjTsIzcCb2gSVsRIY/x0edRI960R8Yg3tPBT7hLWJFHXwtsw/TM/e29LjE -izl+sw9ccXvsT7+BDG/AE/AFHEUdHhR8C0aYBydpzefBl+QjPSr58WxheWFh -m8gdeGJBYfnpwtwGxz0ZvcotVeftvpDpZfCNPKIGUJeIHXGjP6VmUA/Ab1vY -uSr62Otz47C14t/fKizfrXFe3T3TE3X3NeQSecSZ2MG5YJWeHryC7WkV45ue -BpzAw/Sq9Kz0qNRiZOrxE4VtnleYU+CTCyLn6JvpxRYFt+P7bNkxTfKsumsN -9w/+wRN1YmhgYHFqrMLr2yvmWurwNVGLexqtTxwqmd9vKIw19od3wHd39J8D -YcP8+K4Bu9QIesvOqDvj4lywwXx74KcjM2/dkPn9ovAFffDD7/7IB3KBnnZ+ -9EqvyqY3ZP+2wrrjAnvUWObJg42FfewunF/0BFnwEjKxWRccDK/SK/VUnDfY -My5suELrL9b85YW//5AfDp6Fb/ty93n0ex/k7lO2VZwTqwrv+VL09l3hO/3q -jorzlr6jt+K8fL3w/PbA9qKILXy5NHq8dYX3X1u4R+uuuNf7ZWF5hcYlqX0g -nr8pvP9rhb8j+M6/Lb5p7oo+nxoyMua7o+8+14+PiFpGfQCj1IironcEt2CR -fpFYMIce811x1/ADvQyYIyZ8ZxOjG+Nuz30r8P6m6Dc+DN3ZcS/owmP4tCQw -DE43B7bx6y9RQ0dFTcSXW6K2wgl896GHvz3Bq5fVHEPix53CSz2Bf74/wfSu -3Hu/HXvyPXcy1lAbsZ+Y0KcPRCwmV41X8pAYUn+J4wV1y2/E99mk4EnGyYFv -8pE+mZykXzsdNQXfJwbO4VDqC7WNb8qmqO8vRt2n/u8LHsJfvjXPi96bHGyp -+m4643sQTDZHLoCJK6Mnol4fjW90+O2Tddv2h6p7hxMxzzfi/ogzfrSEL5wx -OeLAXEfgeW/oTw8c7g15S9Rcam9LxIQ92qLnTMKu3eHXsOiJxoSP574tuNv/ -5Xng+XTwLbxPHaD/hwPQgRPAC3uOidoxOurIrpox9lzm3qcvsMq6rfH/Bt/B -/LeyM/hkT+zTmPl+ZhS+k33px7kGRjmPmng0+Jd7PBZ59196+qNv +1:eJw1V2tolmUYfvftPTkx+mU0FVNB5yC3z5zlXAchddPqh3bYlCwPTT8Pm4fZ +bOI0jbk1maaCiqf5yxUYs6C0c9NgNEHooNkyagktaAWFP4Kgrsvr2o+H+37v +537u537u8zthRf2iukwQBPfnBUE+4HR8XAX+JvCqKAiyWDvCIMiBNhp7xaAf +SoNgJ2jb4yBoDoVfNH+z8bshbBv478LajXWPz143rRD4Kzg/E/gByHsZaxLw +VaCdAdwVSg/CZuPPJNLhWcDbgP+B3gvYEwpfCJlzsTcSdz+e6Ax1vwD6POhW +Held2Yzwy9jvA/4H4PVAtBrTf4AeJ7B3E7AItClYkyHra8AHsH8T8j/HXht4 +XgJ+DnA21u/Ya8IaC7wcMr8FzxHg1wAvY7UD/wJwvu+iXll8nwX9JGzwJfD9 +wPsAJ2KdBr4f9O/JC7mzgV/CGoU3zsO9P4HnFHjaU8ESngXfiVQ6DWH/IL7H +A58VaG8D3tEFfHeqt/BNrwJfB3pdLJvxHbRbI77LcPZXwLpQZ4+B/jDufwSr +CvjYPH0vAL4XcjaBpwVwM86U4uzrwK9kZGvaeShP8nsD2Z504uvxnlmQUwd9 +2iyT8mlj0g+DVhlJD/qI3zcyupe0etP/xr3fgfYX4G2sAuDdsb5J74Q+fwJ/ +m76Ppc85+255It+tAPwoVtzWAP8klQ2fB60i47Pg32b7dGB/H+5vD0Wv8D7f +tRf4GNt/MKP7SGfM9jiG+Y5ev+XB0L4DXwtWUb5yZ0QiOxYksgNjiP64iO8R +4Huf8Z0oTroAD+Ur365h3Qv9AvAWptojD2OqMF+5PTVQTPEM+bOO9+F4pu7U +IYezM8GzFnBlpDyvTJTDzOUm2GMxbQj604D9riWMpYWp3vYEYzhS3BwHz8ep +7FMT6x2r81QfSGvx3YwFxgTtU58o9u7DuWOuBVnAXfheC/l7AMdlxM8c5Dpo +OUV+L9/CXKRPuceaUYBVmyefN5mHZ5osZ2q+zrdYx1rrWZ3ozOJYtS1n+vhU +b7zkeD5s/a86t2iXGX4X45x5zxp4Et/nIasR+L+QvYH2Ad8i4P9Eqqd1oHVE +irO3QN+MNQc8WwCrY9mOdh2KpOsHoFfgewrsUw64LNbbGdc9eaoDRxkioLeC +viWVb6j/Vts1F4qvwHF4ALAhVj3tTlUTuf9VJP/QZzz/WqS+ch48JcCnYdWG +suOwjVlrKYf5y/ijbUcGyo/H8mUT1gHakPai3Q7aL7TZWNuWMX7DfIztEfYF +c4P4eujQHSnWWUdLnUOsi+xXo+2/zaDdcj1tTfXdBvie5TDnWNdpuwvW+br7 +Gu03zvV/lPOJb2EuMaeY+/TDZPdK2oN2ueDaTJ1YY39MJH9XpNrOukp9Voey +X2ugMz32XRnuWhrKLpQx13JYZ5gj7I/z3XNY/ymnxL6gf8lPH0+PpddvsWJq +WSj7M7/7HbvUc77l8B2sFzyzEXAJ4JVY95C/y3nH/GGdWRKrxrLW8t517inH +U/XQ5li1/ITjYU0oW/Ot1Jd6E+dcUOX5hHoyTnh3C/u744tx+Kj7CHWssp53 +enqoOsjeUek4oIw5jje+r9LzAPsz38+317j2kk7b0X9HTK+2fatC1RTGMWeH +Ivdv1pg7tQb8A5D3S0ZnGWv8ph8nJKJfi3T+zhn7a43fzjyjr8i/KdEbNyby +Yan9yL7L/rsllo+oB2OPech83OpeNsW6sQ8PuhcP2N6Uz5i7Zd0WxcoRzmK0 +X5H7RM5x22e9+nx2h2ODsU+Z0xznl1PFZKl7xDzPZr2uf8xl1rxCx0yp5xrG +EnvLGNNzznPmXaHpzM+ZtuEE22StYyzrfsH7GT87PFuyp5U5TlYmyt+lsWxT +YZusMn14v809hjnX7j7SkCr/WUc7M7Lz8MzZaZyx3+r6wNrc6HrHerzXc8I7 +rv/sA88lqk3vMi9S1X/2gX2p5sOJrvct7pe8kzM038XZhDxdtlWR7dbtuWh5 +pLll0LPLgOfvnwE7Qu1xjmFe9HjGHjSds9SL0K0Yey8kqn8LQvVA6s4c4Lt4 +nrI5+3Fu6rDMGvdN9k/Gx2zn14pUcpan6iu03Z5I/plhHz0F+kPgeTJVzBLn +vMS7t7mGs94U+73D/wmMrcZUvZazNvM1a78M+n+E/yXkm+R5jDE74Dztt01p +z89i2fzTWPMf6Y2e2UvNQ3jKsftGqjrCeb/WPYNx+02sWr49Uq3d7xwY7nPl +nhPK3PNYW1nnGsB/xnPn6VQzK2Prw1j1b6pnFeYrY4a9ljY+azvvjPXNukv9 +SpzjOetDvepj5U0/4P9l/qjL "]], PolygonBox[CompressedData[" -1:eJwtlmlslVUQhr/b29t7v3suSqkKsim2iokxKqK4BdEf4i9RcQPUKKAgWwVM -jCIILtCCC2UTpNayl01aKJSi4MamMVGWiKIge6AooBGChqDPm5cfk8ycWc6c -OXPeOR36lj48LC+KosVQPrQxHUW5gihqBl2Si6JMJoq6JaLob6ghRFFpNoqe -wjCgfxDdfOgrdD8i1+XsI9/aVBRVYV9BvHeIW83aQnTDWOuO/Wb06+FLWGtP -Am3RXwNfS7ztxO+XjKJecRTdw36dkfdjfwO6RdjMw7aSmFOIPR+5ssB7lCGv -wGYK8a7E/wH4D6AG/NdA24i1hpiN6PYRbz/734a+lnwm4JND9zxrNyZcgyJi -t4aK4A/g8xP6FDE+Za/ZyAXwL7M2Fr6K+BOJ1RJ5L/7boe7IX5PTQOzPEWM1 -sSZCw+FnsF8ZfCuoEHkl+cwNrpFqFdA34j+QtU7Eas5aS3RbiNeiwDkpt1Xs -18D+O/H/AdvPgmt7Hp9ybOdCnYg1ibVd8C+i74FuC/Ln8PXQF/B/sfYm+heQ -b054j8uJP5W1ZviPw+Z7+HL2q2C/rsh3Y9skgp8PvQe/NOOz79aZ8F+X8Vl0 -Z7q7ccQ4hX419ouwn0C8yUnHLIM/y9ppdDXQVPhV0J0J57gavpiat6PW0yWr -9sQ7if4Y/oeQ/0N/BP009CvjC3eOvBaamXGNVCvFuArd5rRrqzvQXdRjcy7h -nlJvXZ1zb+pxFKF7A/s/0TcSY1lwzVS79ch1wTVX7Ucjfwc/gj2exfcg+e0m -n4GsjU04x/PoRuDzBPJW7L+Ej9kvyX7LkT/U3QTrrqCGlfhuCL473Ynu5jly -apfnN3R97J5Wb1dBE4J95DseeQf8H9icIJdTUBrfGvZbUOAYG5C/waYvub2C -/SD8k6ztwTaLTXNsuwXfvd6A3sLPsd9GZ50Zfgn6tSnfse5aPa/efxubodiv -UI+mXEPV8hPkOxJeq4WfDC1IuQfUC6OVD75N5HeUXKbHfnvfsv8edDtY24Xu -X+gf+D7o+6N/FX0b+LLgWhSxx3j4X2LfxS3IY2JjhLDiMHJP4QVrVcj9kGfA -P8JaMfI04tfBb+Q8XdPGjLnI04J7tQR5Cvzh2L3YBXk//O/QceRR5HMcfh90 -BPlW9L/Cvx/8dtoivwu/ifj3po2pi4k/C5tq7Acjz4xtI1vVqAI+D5vrEsa8 -SsUSpiHXo1+oWgbzeiN6K2uCz6I3lcJ3E2sXcT8XQ5exdw1rj0XOQbloTbo6 -YlTjW5hzLwjjipFb5DwLhHGtY795vX3FWKL7wmZxyj2t3laPqFeeoceG0w+P -ZjxbVGPV+rgozzNAs+Cj4LsRJucjv66eT9qmCXkU8d5KukfVq8IEYYMwviH2 -nevuP2ZtYvCM0qy6j/zmCati9+YA5G3w5cG2wjRh2ySoOuUZdDrtO9Zd60wz -gjFGWCMMrod/jfj9ib8V+Qz2p9njLLnej3wX+nnBWC+MFdauDMYOvQG9BfWM -euco9gfha4KxUnequ10ejD23Kwf4A7Ft27A2hv0eYr+n8z2jNat7IPeG7wUN -zvqMOqvWhiDvQT6sfkd+CXlr2ncjzBJ2NSD3T7kHD8H3Yc9+Kc88zT6dUWdV -jVSrDrFnmzD0cWEp1CryDN5OvEb0HZHX4bNObzntWS4MEhYJo4XVetM74QcQ -86aEe/RS9Muw75nyG90LfyxjbNCZdfYusbFBOT6J76Csz64eUa/ozevtC+NG -Zl0z1U5v8jd0Q4OxW3+eIfCzg7FYb2yWeiP4b6OclFtp8GzUn0Z/m+HBWKsZ -q1k7Mnj2CuOF9YXBfw31yGjNl6xroRqVZH2nulth6FLNA9Yy+T6zzn4g+C+k -GqqWc4Lfpv4I+isII4QV8sniOyfjXhdmCbs0wzTLNHM1e4VJwqb2xLgW/47B -/En0J2JjlLBKPbI3NiYKG9PEyGQ9QzRL9KcpJ346a53+HPp7HIuNxcLAJviC -zIXYSc8i/Zn0d9IbOZPxn09/P2F4b/j/AQ/+d6M= +1:eJwllF1Mz2EUxx+//v/f75fGXDHKyrowbpCVl4zZvFVyUabUFKn1qlfJMJXS +y5iELW1RXRkbE5vNyxaG2XJlI0ZGbLiIKzfmwue7c/Hdvuc55znPec7bkpK6 +nFrPOVcCIiAMnJvg4BWIhR/znUuDXwP9oXNJYGOMcwmznEuER7F5ie49GI86 +18RZDzwBFHC3FvkUfD7IkYzNOu73Ij9BfgCW8e5yzvbjqwb7WHzHIx+C/+Os +Bdtyzma42xza28mcHYH3gkYCX4F8Gr4TrEGewSYTXhyY72WgCP6W9wawrcCm +Cp6OzTZslyJvgD/n7Az6QuRieBNYiTwMzqL/SwzHsF+A/Eg68GGW5egHvBAs +9iwHh7HP9c1WOajTW8Qwh1jilHN8JSFPo/sGJpFfg9X4ewo+odvL/Xh03SAG +PgH64EXEVwbfjU1CjOVQuezgjaqI+TgFvxJa7dJBK/pmkAIfAcnw84HVepL7 +/bzdF9pfU8FR9FNgSLHjsx7eib4WPoh9HfII8jv4Wc5G4S84y0DeREwN+N4C +4uAZ6LPRtUXtb6rBG+QL3DmJrg2c8K1GqlU+cp5qgf6qZzVoRL6BfoNnNbsO +3xNYbx0FefBW7Mu520MMldjnBNZLylEufAeYB5+L/Xb4PmwSPav5M/hd33zJ +5iCxDof2t3OgHd0XMOpZDjvRjyN3eVajfPUDPv94NhOajVQwQCxfkdPgl0GW +M5vBwGqu2quHe3hrCvmHZzOoWVTNVXvFWAR/GzVf6hn1znffaqUeVC+qpqrt +KvUffAbc9GwmsvD/C/mWZzk8h68xMAm/yH/HApthzbKWwULVxrfekY8h5I6o ++VZPfERXoT9yNw1UwssCm23NQCn8oW+7QDOj2VkUmu9LyNXoj6NvjVgPqBd+ +It93dnYRuQs0RKwHPvvWI+oV1WDat55Sb2lH3PHtD/qLZux21Gqm2unPv+H1 +gfWmdlgdPBv/ayOWc+VeO0O7Q2e7QotRsWpn1cCbwGZ4ATHWR62H1EuZ2Jdg +f4Cz2c56fiu6Wt6sjthMtmk2A8uVZkSzUurbLtNMt6BfH9ouUg5S0B0Izbdq +pFppZ2l3qcfV69p52n3KUXdoM6PZUU8+1m7ybVYVQ3toO027TTVT7TTTmm3N +tGZbO0W7RX9sRP8gsN2rnXyP9/8DvEC6FQ== "]]}]}, { EdgeForm[], - GrayLevel[0.527], + RGBColor[ + 0.33812412499999994`, 0.3722559, 0.39544264999999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" -1:eJxFWGtwVtUVvV+S777OJY6YSqsCVUbbOpb+sdM/bWdsreNg26mPOv6owaao -aA0BwqvSQsCgDYOVVyBUA21QqOUlIAkFAYFICelAZ/qgQlApIC3TONN2RGUK -6VqsleHHnX3uuefsc87ea6+9z72xruG+CRVRFB0tRVEl5Okkio5BdkHGeLri -KHoOH2og+zkQz1iIWzH+Ecj5IYray1H0LGQZ4zsx7lmMr0ffU3hu51h8uxHt -+fh+HN9PYO4k9H8J8izG/hjtu6A3q8Ic9H2AMW2xxozG+2mMeRLtR6FnIvS0 -Be3pa/g2Hf37Mfc82l8taW3KaegvYb3pGN+Mdjv6Ejw3o/0+xo/BWnvwfgLt -2f52BO0HytpLVxZF26FrG+Q2rLcH/VshX8OzE+2NkHOgvx76fov2Gjxb0f8y -5Do8XWi/CjkP878H3c2QAzjTVPQ/gznvZjr3LOjoT7X/ByGPZTrT5DyK/pbp -HNcVUTQeuqZh7q8hT2Jf16F9CnMOcw7kPZDr0PdDjL8Pz72R2vRRX0n+ot+e -wPwZGLca8gj0fwH9Eeb+LJPt3oZ8HN+mYMwqyCKXX0KuvXLPf8/knxV4/ov5 -uzG2wWuVoWsv3jsxdym+T/Q+TmPce5X2J+Y/hb4m6FuGcWsxfjHkXzKN+TPk -mrLO8U3P5TxigGcmbriPhrL0PIxnB9oTIp1xhfHThPYnkJ1l+Yk2GVWS3gz7 -/AbaTVirlMoOtMc/4PsjttcijLsbciHkeuy1l/Ny4YfYoa71xAKeukjrcH3u -41sVwtO4kuJmGPZRXaF90k60Vw3WPYT3/UG24FleQftThexPP0zK5Rf65zOF -fEcfDiuEB+JiEuQcYgbPAuiZB/mvVDH4Uaw4PB+rTfyvxnsHni9HV77dgvZP -ctnkoVRxSv/xXPenitnvQl6IZVPann6g7blvYvKU/TSy0HlHQM6HbMFzfUlz -OLfetmK71j664HZjrtiehfMegL2uqpAPLuJ7I+bMjcQRqyrlj1OZOORkJl9y -/zzHO5l4oy/T+jwvsXQTvg2D/CPsNsB9VOq9PdZcxma3ee4OcmIiPqFNaSfy -BG3FcfzO/byeSc8WyHOQH5bETYuCbP18EMdsq9Sa1EFuoZ7NqWLogVTn/VxZ -ZyZ+lxvD7xh7xCD56oYq6ftKKrt+gv7RQXOXov3PCnEC/bM507qv2U7so7+u -gW8mY/xjQXYa7ZgirqmTtiJ22/HtjUj+oF+OQ76ENTag703M/SLatzFXxNo3 -uW5VJLs0muu4DjFKfNIXxATzAjE7yT69FGtcI9pPE1vQ+VFJccR97LKv3owv -01WU5trbMuynCh2bMKcd+6lNFWfDcb65iWJxk/ms0frJ0w3mhIluP2yeWudY -rsHca/C04P1+95M3fgRdE9AeF9S33uOPJrJTR6I4Y+wx1ji23nmQ/ecdj2ks -29FutB/b5KDbHZOMzcFv5JTRqXLYQchfBu0pK4TBRbb3sET2Icb2l5X7iNuq -RLzBXJKh/dOycMXzNZO/zHP0G7luKDkE/SsjzaOeqQyJRJzD9hC0Z5Y1vt15 -rdm55jaf5UnmGvT1JIpv2pox/ifjhzh6JhEXvh607tXeE/VRL/FD3042fnpj -YeMxxEAH/P8odcLfK2ON5x6mef4UtKsxtgntFyIGnnDAfvbN9hn/kOh7C+SR -RH1LEs3lOTnuastVPu9K88XyIOwE+KICfXudP+6MlMMYR8wDdxnHYzL5kf7c -5RgjbvZCz3yeEbKnLNxtNBbajYfngjjjZJBectqdlqvdXuL978aY8Vjjs9jT -5wvN7zAOFwTF+IVEMbjIfs9z8WpbJozMtN0OO9cxf6aJeInzLuWKxfHoezsV -N307U/120PzVimeZ64B+v7OuWwzdZ6qE1aXun2juZa1I/m11DuL4Oo9jjL6b -yKZ3F8qtjHeegWcivwzapsU8Q37ktwWuyzpdK8SuDWqdj7rMCeSDra4tyOMf -us5cG/Sddd/YXDVkbS7uJod/PxVHrDFnLAnyycdBfWvd/1JQzVCB8b8I8s25 -IIwwt/U6R5x3vh5XpRqX+/hVEH6vLWTXVtdg5HjalPaclis+thfiMeKK8XaP -sUcMMt7J18TzNte6o3JxCP0yq6T4qvWeOoLi/tOF8Ep8Er9bnPsGcuUkrs98 -ujKIa2swfgT2ODIWnsk/qbljt+tV+p0xw9ghxma6nllobM4xv5HryfnLM9Xp -rEtps1uC7HMIencl5l3IzUHcQo4hZ5A7mFOYBy7XE5HuN+wf9DP1MN8/79z9 -gu83jEPGHmN+wHUCubHKdwzWjaVY52AuPeV8yrF3eDzXvOR1edZLZcVWh3NH -AhtWFuqvKHSXIA5/E8QTPGuvcyZ10SZNqXLkf1Jxf6drDPJ3s/3Oe8dl7iOf -BMV2fVA9x7puE+SUXPX1iUw1wjHXdv/LhYeLuWqSfscj7Ujbkd9b3U8ckne5 -HteiHc+7dqIdul1TEQ/DY9UK5IkPrLPNbfLGhCCObgi6W9IHPw/y3UB8pa6g -PWkP5pw+33FOWC91znaOIs77XBO+l8lWxDpxTrwNcQ44kwj3L2aK1zXmVfLf -HtdF1N0TKx/R95WuuWnXzNj+2LG/MGgM76KMn+XmRs5t9t2wOtX61d4D70+8 -bzIupnou8xpjhTHziCXHNJiTuW5TpLEVXmu2z8XzkwNqXM/Qnzz7gPNgtXPb -XzPV8Uch5wXVLXVBOYnzG4NsTKzzfsQamrG+NbuSI5l7ql2zM3ZfNeduCOIY -8hrnnHQ9eiaT/RhH02xn2pg8+kSuWvZsKixTP/3I2GI/ccr8NsJYYt6/fHbH -Fe9po3xXIIfxv8ZG39+3BOVRxnRnJt1DvX/GzlDXIayRalyvtPidPDb4bYNx -Xun90ze84421HQ7YFteaI2g/1mbdrpeIQ2KQeZQcech5f75rAPLCg/4/8INM -/1f4n4X5iPUf80lrUL7sdx7kvwHah3aivh7r5N2EuYQ8x9zAHNELXRODzjyJ -vsKzj/VpKhynrhGYbxjTb+F9fVD+nOtaIDX2tgedbWdQniAGD+Db74LOm6eK -hf0+O/fB8/AsO4JiiPdX1lLknn2J6uTYd8PENVYKeX2hf1I3FPLFcOeXc86n -LUF9I9zP2LnXuOK/Fa550PHQ41xGbM42Poknzr9c75VU2/A7a9gLg/ffRHcV -2pH7zGLVvVcVan8nVV3B/RMPb7m22+d7U+rx1Jn4jLxPrHOdwHse8zr3NKTQ -mKLQ/yBi7ffQMT4XV49J9Z+A9iQeGZ9HXLPNILahc2RQHDCnMxYW+9/LUv9P -63IeZHzsMLewFmT8rID8t2vWrxfi3YvmXv4r6IvFu6yvmWvI01yTMXjYuf2w -97PL3E6OJ6aJ7ZuD/mHxLDwT1+Ba3UEYm+w6gPva6fqNtcA410usDY8Pcr5z -4su5HraZJ/s8ps71AeuE5qD8Tx/y7Htcl5B7VwT548WguwG5+Q3+C3S8MG6e -ThTbNwXZnpim/eNC9UC5kP6u+ErO5H9V5s3p2NvjWHdGLv6rdC3BXNrmfMqc -wnhkfN1q+5FjxlbpX9lp1xeRY5+YZTwQt9TNnMvc+77/TZzNVJOxBul2riiZ -M+m3Af9n6XGeok//D52R2+8= +1:eJxFmH2sl2UZx5/f2/M8bflPM1fYCxiWzfIPWoqW/cEhbW6tjRpHN0F8YbyE +ghrEm8uDh7VEmoPEcV4wz0GntuYOcDQoEDmBHWx6gDDLOEBWhpvW1p9U6/vx ++2X9ce++f9dz3dd93df1vV7u37Q7ls+5p1kUxdpGUbQ0/6UsiiER3tZ8lWh/ +axfFJtFH2l4/Unh+J+tF4lun+Zjm52vt0d6eTlGMae8XtH5Y337VMH1A6x7t +m6HvD+uwB2vz3KO9LdFWiXaLeK4X/Zea3xW9V/TntD6r9WrJ+bJ+X6PfS6qi +mKq9izVfK/qXtP6Z6ANt88zUekPb501k39XZu0XyrxH/Osk81fCaM7bV3vOT +2vLYh8x+6fVR/b5C6xVa/1s8yzUvkLyPifaidFivPWtFG9S6qXFY/C3N2yrv +eVzzee1bKJkf154Z+j0unlLzgMY00VfX/n5R0zwrta+pMxZrPSraKo0Pa/xV +/Ef17R3N+3SHHtG+o/XtWk/T+khtHc9Hzy2Z0X+GeCZ1xnXiGW95va/wfCpr +zkCPDxW+P3Ts88fKmHi9Y/+DA35zFnfEFveW9jVYwO/9hXHybMv+vVnrQfG/ +17Yvzon3XY0/aP3ZyutJyd+ieYF4Ltdc6Xep8aLk7dB4WmOJ+Mf0/U6NNZI7 +HfuL9qT4HtOefeIZ0VgWHE+Ivq62zLWa/9Pw2ZyLbbbHPg/UxvOQ+Ls15mrM +0pit72fEvwaMNXwf7rJM8g61jOO7og/7Z3f8Gx3QDzqxAG1h6PvFc4nmg7r3 +Se3/V9M236nvw21j4kB4btU9fqj5jOg3FvYtdsfmy/Xti9rbK903dozdpyrf +Cz6wROxMaToubi49v6T5fvEv0npC640N+4Xz5lfmv60yFs7nrKXi+7zob2i+ +W3tvEO2Q1rN01qOiT9foaxiHfDsdPICLvRqfE22x9u2SvH9qvNYwXuFfoO+j +LeP+A8yHBwytCh2b72wYF92F44B8Qr64Q/svE/0lyXtAtCu1/rnWl1f29XWV +sb0q+CYutratE/GNjcDA8dIYOlEaY8Q1Pp2VvIYfj+jbI+JZKpmvlcbr69ik +9Llvat6jvcfbjqEfa++45vdLx81I8ip5iXPxB74din+Hs+aOT2l+uu17zySH +dSz7hbZtRGwy9uQsbLYrduP7zPBD263RV3g9Eh7syhnYltgjBt+vnMu4+xuV +8cXd+4r/5xTsdmdsPl5a/7Ma3xC9N/bFnuCS/SvEM1HZx7/TPKnvp9vGNXc9 +k73UBvx6VOuDLccPNu/R/q9JzhOS973S2PmM5m/V5v27ZH5V6ysk5yuJcfix +++7cnz3YlhibW9g/J9quIdSOydj/Se3frPVPa+sIHR/tapqO3FOpD+TMieRO +fr/ZsbxLS+OW2rYy9yCPkafIZax/RD2tjN/rk5PRn3w8Ep2xObULrKDjJvG8 +0radbkjNQ+dPSM4p6TVF84628yzfOafKudgJu2CThR37kLgkr1JrqL9LEuM/ +qE1rhX48vsOHu5u2xX/BROQgj9/IJ69yZp1zx5PHuTdYBm+L0g9wF2wH1saS +z9F9R3LRaLCO737bcR7+VGVcjwbDU0r3F5OlsTQc/36zdD2dnRo7nJh6pum6 +jw+JDWJqIDpwPjq/Ktpp8XyyMk6ujb/J5WPJ8/hlMLUMv+ATbHsuNZpajZ3A +C3aB9+r4kfrIuRfidE9iGTngAJvwfWZ4+puuM2PBBrggh5D/jubsdtu1iRp1 +sjS+HtT335euw99Nftre9PkXy8fn6W8099Q+4y3xbG46J5PLwQJ+Q9ZNHfdI +4JU+sTf91daG7Ur8kg82Zy/4AVvkc2oytRiducehxPWkbPSy1sfFu6ByP0Nf +86fSd3xI9G2i7W1YD2prV8d+oAckD3P+vZXX5GbyeU9yOvjHp+hPvicvkZ/I +Sf2x5wvi6cPmktFduvbNT93Ab0dj55tSa4izHelDuCfxB97G0oPRi5EzBpI3 ++tJjUIvJr42WY+Tx9JD0kvQF1B16A+ox8bG6YzsdjK0+UhrHR0R/lvuK/lzl +WMVPS1OLqI8747tt8d9vSut4X8d1+tHc4Vh6eHqfNTkLW+Fn7tuTeCWHoVNX +eiL0wXas8ekBegjJ3F9a9v6me7WDsSd2Hb+Q3wvrdSB+PVEZI2voDRKzxC5n +jubcw6nb2Iv5cPol+qdL0ittrR3b50q/H/DVY7VxuiFYHY896OXAPjpvTC0h +x6ws3UMN5Q3wnuS+Td9fOS8/k7wxGP+SY3fmHTJcucebHXxOpr7dGLtBH0mf +xZnkjbOpffCtL52XeKPwHd16kyeI14Hkn67YvzuxgMwrE9PEOX3rvsTaW5XX +6zuW2ZtzscHe2OHXpWN3nuYVHfdz91e+d19wSy/FGfQ49NPEMm+C1ZFHrT9Z +OXfSj5PXe1KnwNGMYKmVXvaW0vViV2IMW/ekFgwlf2M33hb0HNQY8L4pOfaV +1EL450cmssHvy8HwifRg2G168E4tWyX9bgXTmr9OXyj+2zvOGVOSN5ZXzqMr +8G1lzNJrkGug0y998CZrGa/DwQD1vze9JHYhFqclP1JLm+kHbiudvw6XrjPk +FPIJOrImHmblDYIff5G3JG9Kzr0o8XA8tWMgfu8OHrbHbvju4rwxnu+4DyP3 +nSptX/IXGKYmXBUM8ead03YevdBzd6e3HE0t7spZ6PjtyrxzNN9de++y2nlj +Z2y1Om+NY5XrFzilrv0jfR393eK867EN+vfnXdbVso2wz/cld57235X+Cj/i +U/TbmrOmpiaA6fsq+35h6bgbTF9BHzGeN91Qes/u1Km5sSGy50X+Zalp4LJO +TzWe+jOQGrgm7/VL8x/AyeQozkaHVzVvqP1ufKh2/sS31LlP167fU2vnT3In +WPhzcgK5gbwPlvjPgHcOOtGD/w8RJVJk "]], PolygonBox[CompressedData[" -1:eJwllUtsVVUUhve97bnnnHuukChKFKSCAcQBI40jJ0YTg5gY0MSJJalAVUop -LZSGEGFARWsiPhAs2IJtEKMUKI+2CoiUgjzkkaAiyEstRY3EqIkDg+D3+w9W -zr/2eu29ztr/Hls1b1ptPoTwOlKOHIxDWMB3QRTC7aUQDqEvRG9EH4m+Kgth -E/hR1t4BLyyGMJPAX8tCGEpD6Mf/OWznciGcSELoQ5+Ffwf2K+Cv8bkMnkFM -HbHryLEZ+3Ri1oKXYn+Y2NnYG7H3UrNA3ApiGtDn49OMfxf+p1nfgf9IcA/2 -neBTyHniJyE56m9D34VtNPnGEj+e+L+xHeDQE8Bb8bmAfr5ALmr1IBF5XyFm -Pv7z8FlGvXZqnGR9OVIHXo1/B76d2Jsi96gD/EHmXqmHG8A91J8A7iNfL/jd -zGdVD1eD12fudQNr7eCZSC36A+j11HoPvS5yT9eAj8XuzWLW5qBPSdzrXzjP -i+z3zcz/phP7W+DfsDcHn/kaeAN7bmHvo9AfQt+CVGHfgv/7+P/OHm9iewRJ -sW3Evx3/5ZoRap/GPjnnf/gNeAwxJ9BvEF+Gbz5xLv3TVmwDsc9Wj34b9t2s -HYi8p8/Ax/Hfz97z1Iixd+H/NPaTrF0Cr0Imoh9CPwW+Ts3hea9NVi7kKLiC -+GpyLcHnLvQf2N+3+B5mrY39jafeXmxV+M+N3OPnwVPxuZC3zxPge4v+V5qp -ceCbRc8WacIN8CRiAv5jib8fvBGpYWkH+ofglti2AXyOgx8v+SyPIUtJcpka -g+SbQ8wlcEbOtNxn1tk/1v6w9aJ/Av4+9ewv0p0Cn009m43o36WeWc3u//+Q -/JXkm0K+IeoNoh/AZ1/OazOwDWPtqZx7qF5eQa6W+QyD4E7ytZJvGXoz+9HB -dZdS1oZjG4Yk4EpMU7GNRh9RcE/Um3zJs6B/qn/blfkstbhsBkfYc/j/jH0I -e7n6k/NaAVxC4oJnflbmGqqltVuw3YfcU/AZmvXvkJeCe3oRPEDMXvQjxB8E -/5i61zrjT+BWZD34nGI4XxM9qS73zGv2n0x8Vp1RZx2DjARfY78lbOtSc1kN -/mvBa5A29GPku0i+afjUqz4xXcT+S/4r5H+b/WzFdy57WgJeic9X+N+tnuZd -owL8UeZZ0gxsAp9JPcu6c7p7qqnampkSuSdqjwX35AVqf5GZG1v0D8CfZ+Yu -ceY+8J7MtcVpe8GvIm2ROWpF5jumu6Y9VZKvP3MvdcdGJD6TzibOnI5egf3W -yBwgLjgce1bFoeLSI+pxMIeLy3vw2R+ZQ8WlX8aeZXHondiXZ76ruqPN2ps4 -OnJP1duVmbntQfQ3wNuR3ejz0Lsz91i9Fud3gxsy92IP9jOxOUJcoZ6pd69l -zqUetKj3yL7Ie4wS3wHdhX70Xmxp0f9aM1QEH439lugN1Ft4NfVbqDdMb5ne -HL094piz5PsnNvfqTupuiuPF9eJkcfOfiblCM/wHOElcWzNTQ/2dmc+qPe4C -VxP/cs4zdp1aRfwHInNsn/qR+e6pR9syc7i4XD6foiclc6/uoO7i7MxcrZ6X -k2sc+h2R31S9rXrz9Pb9hd6N/dnEb4XeCL0VcdG91p1Iir4zujviiFHYryZ+ -q8TR4mpxlLhKM9QUmxPEDaq5ODaHikt1RxeR75nEtcVR4qr/AOFXMSQ= +1:eJwtlUtsVlUUhe9/+99z7kAnBIgWH5SAYhAGOFDQOEAwjgshkIACQahYaIEW +tQVDoY0hFGNEILQEBKoCDuQRHmJaWx7BAoHQUnxgC6gRaxASiCMd+K0sBztZ +e+919j7n7sctW1BVvixNkqQGKSK1eZLMAawqSZLWmCT1WZJ0QNiKXA1J0ot+ +Cl8lnHVwv0Lvw3cWSeFPRgbB54k1CXwcfyv87cjX6Ac5c4SzlwrkJN4X6DvR +X4W/FO5CbHOL/98B31psG/B1cX6A8z2ZcSfSj34AThvcMuIN4ewd/A9S32ko +/mtIHdw6YvSB34e/EH49+mL4p+Hvx1/E9iS+OmQe+GPOX9J7kS3gN7FVgE/g +7wXv4Hwp+h/Rbz1PjEFwJf7yot+st3eg30L/gPu9Dv9F9LHo3fh/wt+OfgP9 +BWLMwj8ZfaBgzkvgK8RcjO8o/J7omqg2urPufpEzH3G/KejV6Otz1+ZZbGtz +51Cujcg+zv4Ifzu+ccgafCXRtXuEHNvQr+NvRR+PVIFL8feDbyAX8N+Ofus3 +8H8H7yXHZvI1cueZ8N9DH5P6G9bnzqnczbqz6hWNuzn/YeZvqm+rmqg2V6Pf +WoG/FxyQbuLdRC7CPwd/E3gUsiC4J9WbzyBvgb8kxudFf7OV8C9gG41vtmoE +LifesNQ1Wgp3T+ZeUI+sVu3hlKXOoVwHkVXgo8jf4E44tzk7gfdWol8Lzq0e +7QPPIH5D6hzTwaeCe1sxT4OXBddG37iBWO3oTeB/yD8U/VNkE/EPY7uPbxf6 +y6ltu8H/EvNXuI8S8xD+49G1q8Z2Arwyuhf05hV6a+7YTdy3C/3x6Fq+gq0G +/ET0t52KXgvekru268i3Fdwf3Ast2H4OzqncD2M7DP6MM8+BJxG/DbwGWyNn +92D7DfxDcK81c+Z7cG3w7B+Dc4j4n+TOpTM6+27uWVYPqZdWU5+TBc9gD/7L +wbPZhm1R8E7RbmlBjsGtRt+BrxnOcvDlzLVSjOvoJ6O5+oZ/4RsRfHfNtGZ7 +fea3akdpV6mn1duqUQf4Luf/TL3jxoCnYSuU2PaUahP8dn2TJmINou9LPdMT +wSNz7xrdsQp+BZynE8+QZkk1V+2PIA/A3cG9PhPOd+Al0W8bqX4Hz8E2vOAd +ql26IjNXO1G7cUT0LGmGH4v+Zvp2mhHNytngWK/BOaP3Bc+meu5e8MxodrST +38ldM9XuALbGzDtYu1j/BP0b5gbH0s7T7nsDf2nqmZgHnh28C7XztPu+Dd59 +4nSCu7DlmWd+YnTPqnf1xnbs85GHSjyTms1bwXd5Hv0X8O7Mu14xFKtGOzb1 +jtSunBrdu4oxDTwQvMsnaMeBGzJj7UjtyreDe1czr9mvD86lmm5G3xY9e6ph +C2f/A3IFBeo= "]]}]}, { EdgeForm[], - GrayLevel[0.589], + RGBColor[ + 0.42018837499999995`, 0.4502661, 0.46583434999999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" -1:eJxFl1eMVWUQx8+t55x7jsgaJYpl2bWwihgFy5MFQV2wm1iwgFFRiTUmlijY -u1kTFaOxRR58MQIafaCExYCIyC4hsSBigomFRDC7C4iJoPj/+Z+ND+fO3O/M -zDd95nTccNdld1aTJJldSZKaYEN/FjeT5BnhV9WT5Ao9Y/Vuq84vEd4nfFbL -+E2CGyumuVb07Y0kmab/84Wfm5n2RtG8KdjUc5TOb9YlNcmaov8rdM8cwVTn -BzV8B/IuF80PVfP9JHi65C8QvlDPGcInJr7zyrh3t+hvFz5StCur1hud79bd -1+j913mSTJc+db27Prcu74Q+hS6/VfSvCL9X9E8Lfqmz2S3Lnya+1dKtKt7J -4jmmYh25d4funV23PVtEMyR8UM97ZZJU0EO8XaLdpOci0fc17Vt8jB3zxdMv -GQPCD6jYrk01y+eeHuF79Lyr81L6zBf+hvTfm/t8BD4W/p1opwrvlNyKZF0d -d46Ne0eIt6Xz/QSrLdNUBLurPr9DdA/r//mCndJ9c8V6XyzezTX/Bz9S746X -zicVSfK3fDSmgmKCDcd+qv4vbToO5MF+IesC6dahs0sjN54Q/+eSu0K6H1eY -/1jBmujbhB8hfJ9gh+gnib4VMcKne1vOl1v002g63thKjiCTPNmld22Cj0vO -C7n98bzgQNV6oMNOwYl6ZuEnbBB+Cz6UzLVBx9mLkrlI9BN1vq5hniGdPafn -ZZ2nqWP6bM2yeN+r8wU67yO/Wrab2CDn1Ib9z/+3c/v+LcEHpetLeveB8EV6 -PpG8v8X7aGFbsAm9OsOPBzUNyY2Pa+b9J/F77OUuZJMzfZHnxAa9r5PMmaJ7 -R/fMqrsmpwQtPJtFf3/L9vWn9kFP+OEbwf6KY39o3XfPpQcEHCWax+TH8yR/ -l2BTvk10b11wf+n4S9X8Y1ND8oo87YtcHZ+57tdkjn9v5MA5md9/Kr6Z0m29 -7lsl/T8KX+EzdJhYd333CL5Yd0xGV5wX1Bc5j434BH7k/JXalz1Ra0sK59oL -Oj+jaVl9wdsTMlcIXx66dbRs94e563hh3PVuafweySka7mXw0Nvw3dzoQ281 -zHde5CP5833NtYd/1mfO85WSsyG1jvNS19maqDVkEX/02NWwfr3RB+DFx8SS -mD6fWo/RoT/9a3X05O7c/h8fMdwQOn2RO+bUfVfq+O0JmxaELHryxug71ZA3 -T/KXVW0ncRkRPeFCyV/StJ8nxywgjtjQG/5Ft76YI+dGL+VOfDKy4TvPJkep -W+4sXbdro0ZOlsxTmvbn9qpzfUrotj30ox7wH36ZIJtOSl1bQ3oG9YzTPTuU -D0P098I5tTN8Qv6Sz+TpH3q3UzS7Cp+BYwfxaYsY7W1Yf/IY+5C5PHoGvWV6 -5Mbc8BV8A9GvmCvMCXrB75n13545bvWwBV0nh8+Jw9aI+6+iu4TZLv+c2XRM -ie3Pmf03Q/k7EPOROfmYYn2O+B7S+eO55wLzgR7HOTOyzNzvj5DMX3OfMT93 -xHyH7v2G84+4XR3xWDTce5u2+/KGZxC1RaxOjXiNl9wjhR9f2p/4Ej9v09lv -Tce/J/iozekhH951uefnvtR1BB/2b6n5nNmNX5FPvmzKXDfUMTKmR/+E7/uo -wR9qxpGzf+naTMT3bW55c1LL5g52jg1hW3fsMcSVmN6aea4wc8iFruh7B2a+ -d2XhuPVFHeFD5hx+TEvnOfnOfKSvok+ldG7tK5yTHdFXt8QMYhaxa9Dr+qPH -0//p8/S8S8Ne5CGXO9gpsAdbJpWOH7OUOqZXsTvRa5eFXfSAtuh77aIfJVmH -l64pcHKFXKdfULf0EHT+b46Ufk9O/RY6TAr/g2MjMqhLet/w/KMu7ou8fES6 -LS6c/63Msxw/r9LZWaXz6n6dfZM7Rl8x+wr7v9T7pwr34Sep39S+WSx4cNO5 -Qi3Sb+kJ1AN7yrbIQ/KWvMFH7ALseeT/vdH3Dylcm/CyZw5Gf0EO+9RQ9Bl6 -D/6aGvbxf370OvyCT/YFToyA2wI/MfW97Jbny7YrZeMFgn/k3o93Cz6Ve5Z3 -yd488x4zoLNK5vzeIHwwdw0PCa7NPe+/FOzPvZuuz72LsZNhCzi7BX10bMwG -Ytoe9gzvhEXQE/OumB088JCrwzvBmJgFo1J/G5yWeYYyS9kL8Xt74ZnK+U2F -dwtyNyudB+TDVsHlqfPzC8nYUnhH/1FwaeGdfllhvdGP/oxNSyJGxHpp4HNa -9u+K0jMK/dhBiRn05Bx3Lo64ozs0zLJHMu8Q3eR49N9pUR8TYta8VrjOXxfc -XXh+/yl4XOl9dBx8pfPs7NJxIl6dhXfrzTFXv4rc3phbL+xhvt6R+ptqau7v -B/a8NwWHMvfiHZl3HWj5diEnyI0HZPeY0jXQIXhzxGRPy/s6e/thpe1mD+ab -cYLOx7Mn4+PCc+2zwjVP72He8O0DTq84ETtF82rs7APxfTcjc62z7zBP2FGZ -Me+1PLvYMYf3zmbMWeRQp9QTdUV9EQ/44U0Lf6M1o0+wB8yL2TEm9vMDQgf6 -GzO1HjTouz70J67kwajYh9lryV96fnfsBszroZCD7SOjp5G/4Mjh25H5XYud -hW8D9ne+i/iW6RVcmHvHXiA4Tnp3Mvfkk9sK+3td5Cy5SK7Sh+HFl/jssIZt -P6YwfrTgjYXtvEHwgdS6sAsQN/w2L75D+SZnj2C2MeO2Zp7Z+Is5i+7og48e -TN2n2TXoN9QP/p8Wewx9jJ50RfhtML4T0Zk4fhy7H32DvGIfO6Hwdy7fu+g1 -rvF/LEbHrOG7f031/2/O9uAdiG9x/E8f4hwd6JdtMeP+BTZVB4o= +1:eJxNWH1sV9UZvr/e37nnOlj4sMUhgoillK9sEUZmUUPijCbIqAX8A01oC0Mi +rILypYOKMF1cMsDMTZEAlo9AoS2NFGWBsuGAgiAKAjpNrLO474ztryVmCXue +PU/T/XHynnvuue95P5/3PfeO+qdqGkqSJPmqkCQp6BSMNzH5LuiTeLEF6yMx +5gbROqwvxqjE/EnQcqxfLCbJ7Xg+HUVPBn03DKMGe36aJUkT5oNAl+B5bEE8 +9uD5EOaloMdBJ2NsxvrwTPOd4HcJ8zVYWwOeFZDnFxh78K4S9FWMdswfLhGf +cRidGDPw/G3QW/D9KNCuIFlH+dzxoG9hrEikzzKMpRj1GE/7+Rp02oo9CzCv +wfePYDyF+TeKOo/fN+aSYxFkHF2QjvMS6ViO+Y9Az0CGOzE/G/TMfQ20Mda/ +g/lE8LgH78Zgvpq2LRGf0ZaV35LfSowKzFeBthb17fpEutJ21HeldaNepeBZ +jfmn9tVB+4sytJtnpe1H+z4Eeg70GMYCzHPaD/ObcNa/sa+tIL+1Wa5liJHS +Eu37HfT/GebvZlpbh7GqIJ1arRfjZCfmtZhX4/0lzKsKstN+22pHorXtoB8W +Zad51rvFuq+I0mVElJ70+XLQOeA/O8iWO/BuAuXN9c0E2+YC5FsI+lwu29Fm +L4BG7J+I+STQ/pni9gT4dGE+B+9rQVdiLWJU4Hl5lF7DQetBbySy1XzME9oO +5HSJ7MjnESWyzysFxe4By/ME1jZgXmYbjLYd9hbkd9qZOh0u9OnR4W/H5Vov +g2xXYasrReVMN563ge/noP2x1q+obxjT1HUdRkuufHkOvJux93sY3Y6h485B +ysNYpEyToefboEMy+ac1kY/uAp+LlBvr0wqKHb57Hd+NwziKtbtxxjasbcT4 +daq8YYwOyOTbN/G+GGQX+vM3OGsH9h2Pih/6k7rfa9+utt82W5/TBel7inaN +iuPPsO+LgnTrNi5sSBQnLUX5/plEOdTpPGLerzfP5zE2WWbaa7Of9+PbZoyf +Yz6gqNzj9w8H6boW65eLsg33f4n5fPoQ4wfY05gIQ7pSy819BcUBY2BWov3E +oX0F4RVzlvFSYb+3OK9okzNBe4hz860T9VhgXfnMPJtmn61Ktf5DjKOp8p7x +RhwdYyw4kvblerPzk1jxMtb/YF6MY+r0AMb0IL0bjKHrbD/a/JDtvjdTbt8G ++iL4/ASjhfuC3u/G+ivQIYEM34zCiZHGCupCHKbMv89k+xeC7HfKNmwNysF2 +fNsOmx8s6l2NbVmH0R0V242uY1v8nrx3mf/eXLn6OM6ZFOST72P9RC4MbAqy +DefE1H5RGNuN9YFBuU4c6IjCisOsjdD1P9g/k/kTNL9Of2B9dapziZWst8SW +c6li90H7jPFLW7EmUxbu4/tu5xvj/Z/G7rIg3OdZNwqixP/cuEXZxkTt38Sc +yxV//aDvgIIwrsJ2pD3bHNfMZfp4K+z6RlH4WGaZKVNTKvmmWF7iCWUeYH7c +xzOrLedyxyLzfQLO6Ckqpu4LynNizYtBPHog29ogv9P/IchuxPGxReV4r72+ +sE02Wb77fTbtO8V5vM45zvhgfm9zrj7vd+S9yn6pB/+6onKj0/i43vyGlojn +kVyxOAyyXcuk+1rQiigfPJAJAzcZMx+0jLQD7cGY/9R2o7/5rr/jivHFnOT5 +zMFduc5dBH5fp8JJ1g/m5UPmezzTnkd5LmQ/nyreGBvXbf9p/ob7r9t2XP9r +1PrLQXlAnzDHacsN9jdzl3pQ1nrXR9bJXam+4X7WIuIg7d0UVZcuB9UK1g9i +wY+hyzzseRa0xbhN/C5178C42VJUfBEXN5YoT5mvE4P6M+LrrKD+jP3C1CB8 +oU93+lye/4xxlVjCejbPeNWRqs4R4+b7HOJah2sU8ba3NvRia715veW6whhm +T0qMZg1b7nMYP6w1fCbGnYzKm3eDanGdeb2USmbG+reicP/mTPW/2di7PVVu +Mp/257LD00G2mW25z0b1DStcEzhn/0D59liXDeZBP9JWVaEPi0npU/a5lI1Y +Tl9dclxWuO9m3h3I9bwwEx7QT8RS6jHVPGcE1UviB/Ntme1XEoWTB/F+kHGT +WHMb1j8Hz2Gg59wP34r5+SCszaJszt6bdmdv9XoqbLvZfdjfguoj+fD73+bC +rsWZ7ER7MT63B2HDkqBedahjbqRrAvU/EsX/nSg56wrq69hzsQ9j/e0Iwnni +fWlU//f3oHwda9+xXlTaF++kko+1nP3A0v/DnaW2EfOdNZm1Obg3Ih5N9/2D +PQRrN+OXmBxdc5gvF4L62Oj6U+93zDv23PQnY67GMcNehucTBxPblPvnGIfJ +i7WY90Dahrh8r3uwu6NqWVVUzDHehmK+zH1+F/u3XD1oJej4XD3ThFxxN9V9 +4RtBd4nXsP9YVKx3gnaSD+YnMF8ZlAvvYb47Kmf2gN6aCXuJwdzH/WWYn8mE +F2dBP87Uj36SqeaxDrVib3kmu7CHnWf/3o/1JZlihrHzqLGUuDs4U94x/1gv +WWNeAl0cNGctvSuqN2C/sC+oZ9qLtT9G1fU/RWEisbG3HnBOPJzle3RtIlwj +vhFHvvKcODvYOcN8IR1suVnnWfdZRwZ6D2N1omsrv70QhXcf+I7Os4iDxMgr +xuqPo3r0T0A/iorXy6Cjo/qYf4BeieoRr0bd29nj8T7RYzyebfy/ar1YQ3q8 +Pt+6LbDeV7yHsUz8Zny/FnR3SonbvvMTb2g/1nvW+EH+n3BHrvrFGscaxrs0 +e/pbMt1J6N99oKdC3/+JS7zLYP/FqJg6lAr/R+DbFPyH57r3xKLOeD9qz3nQ +v0Sd9eeoGDmeKgdLc/UCnZkwhr0QcYbx2JT2/VNp8vqdufiPyhXv/zK+8x7w +tWs6sbTLteymXHty4m6uO91u/k9wnWbfyvpDvYgtjNPWtK/PP+Zev8HPxBfm +NPVlH8z3R60LZdxlOeln3v+JYU9k+l/Afx7skVi7WQt4T2ZdY317Pwgbef8+ +aZsPzGSnY+Z/De/OYN5j/GCP8r/+JBO23o7194LqH/+dfEYsYNwGxSb/v7AO +XAzyNf+jkHendWQNIO4djqrjtNV41zGey96HWDfQOcL6wZ6D+El5hrh/5p1u +hvtf9hePBdXGuZ7XJn3PrBczgzCdeMq6N8P3vd5/Z9zPesl4/iBTb9Dquyj7 +q0muSaylk1zb2aPyLrPRWH3Qd0/mE/vmOZ4zz780prDX3Ohaz/6Q9Z41enLo +4z3ZZ7EnHOK+sPduzD6HGM8acI8H/0Gw3j3mXqvW8sy0vszdGtcn+nC2a8dF +92e9uf2Iax7tNNP2OVCUvagXecwyf8pVZl/MtjzkSZtRTvZU1e4xGm3/avPk +2gH3HozV4Bpaap7nvIf7m+2HNv9T65WP8rb5Hc9a697+1Vz2m2R7ck770p68 +i2woat+vcs1/masf4D2CPcE1+4u+W5Nrfad5bDWfYfYZ6/Qi591HmXoAxiXz +iLHQbrvRX/fZPjdcA1jHeRbrB3tm6s9egv0gKW2y0PFS5VpMf33oulDtmkJb +se8ren+NY5T9A/8b1Pt+NMOyNTpO5jpfyJtnsNY9655/dS75mx3b1Y6HZscJ +9WywPOWOB/aUVebDc6b7LPYa5caa/wIa6K7o "]], PolygonBox[CompressedData[" -1:eJwtlW1olWUYx+9ztuN5zrkflUUNQ8s5S2y+ZEn2qVmG5LZeJPAlEw11MSHt -U02X0TStFCcURYEvJNiXqFHUB7OcYS1ftlaBljZhhiy/aHq2uSgt+/37C+fi -/K+X+7qu+36ulwkrnn9ybTaEsBUqh9I0hMmZEHqhkeDNhRDaykLYAW0B55DN -xy6M4Ac+l4TQj4PRuRCa8yG0I+tGNwO8oRjC7fB1+KpENh48D6oFd+OiD5t/ -sPkc38BwDXwdMAn7U1A38eqxn439I8T4AH0/8c6DbyHeemzvQj8BfiI208AR -yoE/RP9uDOEsNj9m7aMO3VHOfwk/k8tOB59Afwy+Gn0N+t+QnYOPnH8B3dTU -vi/pjuh+QnYE/BznXyafU8jOwC/gDmvQfUvMLs7O5Ext6jM6Owa+Cr4Lm9e5 -a57//fBf8X8HfAl/ec5+xJ3f5Pxn+GsHn+f8UvSL0K8m3qPIFqGrRHYa3Xpk -Tei2ImtFtxBZI/wFYl4EX0W/Qe9PnAOpc1buw9hfwX5EdOw+YvaBWzmzA74N -2oft5NTfvgp/TehakK1GN4DsMue/idY9RYyb0b+Efm7GNaBaqCv4bXYimwe+ -kDi3LLSdnJqwX4i/xVBD4jvoLiWoAN+DTWfWMRVbb6q3HURWQt8MzYK/D5qN -bhC+I1j2IPxO/O3FVy+yfnwdjs5V36gTXMT+YfgM/r6AXwW1w98ErQTfA03F -dhp0r+op+q0uk89G8GH5zLrmVHtd+DsEP4TNMPo/o3EH/gaj76y7dyI7AP8H -9m+r95BdSvzmenv1yCvwA4nvqm+ib5Ok7r1q/OVV+6lrqwKbu/F3JzQO389y -56Xc/TjxXguWTUK3Df4t+Cr4mug319vrDj3KBf376K9yfjr6NvjqnL+BvsVx -fJ5UPRD/KLgHOl3mnu0CV5NPQ8ZvNhFcn7h29Y31rbOpc69AXwa+iM9/g2u+ -Jbqn1dvy+T3+hguuVfncBH6m4LdSTlOwfwf7mpx7Ur3ZDi3IuefP3qj5yhsx -FGsP55ejW4O/3eAjiWtTPahe/BvqId5efGzH/zJynhMsWw7+uODeHMt9quA3 -YVPB+e+QvQruKBg/gP4J9J8U3KuacZ+CSwX3jnpkI/gE9LRmIbKT4FGJ314z -V7M3Fj0rVcMpeEV0be4ivy3ggH0vul+hH7DfHK3bg81a7nIo9SzOcecl2I6P -fnvdaV3ed9Rda8n3L/hVxJhf7hmrWbtS8TOWNYLHpa4dzfSx6sXo3lANq5aV -g3I5A2Xgx6A/iG0Jm4HonJSbZvDBvGtUtaqZpdk1lHjWq4fVyyF1rV3jfAY8 -J3WvL0H2ELgU7Vs9p95Tj/3fa8iugB9LvMv0RqOxX5y41zUzNTtvS72bVPPL -tFvI540y98zv4Fujd4HuoLsMRfvWztPuq9fMLfNMbgBfj871cc7P1a6J7nXN -mP3gkcQslrtGVavrip516slm8C8F14Jm/s/g96J3mXZyI7g6+m21g1vy7nn1 -vnpgRvQO1i5Wjx7j/LaC3ypDzCz+v847N33T7sTfXN9eM+/+xDNNs0013Rpd -46p17Tjtut3Yz8p5Z2p3Zor2LZl02qnarXoTvc2U1LtVO1q7elfBvac3GFV0 -j6hXtHO1e7UTtRv1DV5E9x960BxT +1:eJwtlWtol2UYxt/9/3ve57UWC12Uhy3UuU1dECWRQRH4oT4UStC3QLcORtNi +BbVqdkBcGB2ITC1rtpObuWmgU0duxmJzujm3WboyHKF28EPUpyAC+11dfbjh +vp77eg73/dyHhbXPPfJsLkmSd5BCZDhLkuqQJB8UJElNmiS3xiTpRb8NGWf9 +F/BoPkkeAF9Bf5q1uRzwBtIHvxlZj/4+9jps1ZxXzMH94B/h12MfQv8Mzgz6 +k3BK0Os58xP0eXAqsV9kbQF6P5y7Et8xgN6KPIPeCqce/llwFbgRzhT69+w5 +hK0aOY39DGsV2J/CPo6exz4sh7Hn0C+mfssweF5qH+SL3qS3XQXvRV+KD/fi +yzrwo4ljpFjdqBixdy1rxehtSB38L1h7CU4deBl4J3Ie/RLSDfdu8GX0A8Fv +eRwp4T0/IMeIxQAygW1HdGwy7NvRe5A/0B9EuvV+OKvRryEV4HPIUfhLFWP0 +ptR/sYprmuHexJtb845pCfoga/Oxf4wMwf8dmcz7TJ09De4DLwc3o3+KNIB7 +kGHsN4ATfFmDvSj6j/XXtyOT2L8FH4FbAZ5A72Dt4ZxzYjn3d4LXgCexlyt+ +4IfA12Ffgv3O6Ny7j/UT4H5wM+cVs/ZV9Jpsh8ErwPvRr/GkWvAc8GOcWcZ5 +bYoptir4RYXOEeXKGeULtnLwqHyHvy3nnFqP3sueiO1F5DD2k6y9h22X/gx9 +EHk75zs2wk3hVGH7C3xH9B7t/ZM7ZnH3r+Ax9JW8YTW4DHygwHvGgt+ot7Yg +X8sG58tC14xqZ4C13dj+RuZk/gP9RRv22aljotiIcxx9W+Zc28wZ29E3BOfC +LvAe8AL27AafA/eBV7GnRmfBG8zso3y9gv04OMvsi/7gGNyNuhP7Puw9mXNO +uVcDblSuBeu1yCbwR5nfoppSbR2Bv5OznmDPuuA/0F8cZO10dM4r98U5Gv1m +vV05W8T++alr9wT2aeUbsgI8gMxE+yTftFYKdzp1LerNentjcO/oZ/+FaJ9n +/59DPcE+y3fVfC38Sf0p3H3sb1B/Cd6rmlXt9kbnnnLmUHDOK/e1Z0r5yXn7 +OW8z572OfSza173KMfDNqWtHHHH3YL8fPALnMvqlaH2KtaZgn+X7FuVAdM9Q +71DP2ZC6R6tXK+d+i+7p6u3K2W/Qu1LXnnKgE72BO9cWusZV68pB5aJ6Rj9n +v4IcLHCNqlZfRroLXONn4ban9k2cDvRS9awC9/RRvTW6d6tnDgX7IF/UA9QL +Xgv+O/UI9QrFWLH+EDyROkeUK+rhO3QesgjchdwSzRFXPf8F9bboWaI36q1b +kZ/Qt/LeruCYKXZNSDv6Pcg/OffAJegzwb1NPbdS9Q9ejN6JnFSuZ541mpHL +MteAauFdYrAJ7ufBs6EF+1upZ4Jmg3rOeHQNq5Y1MzU7NWM0azRjf47uyerN +edbKsC3MfFYEL0YvzWz7byayvyPaF82YLfqvzLNPf/pq5p6j3iMfV8JdlPks +zSzNrnLwrELPkO+wd0bHSjmoXGwJ7m3iiHsheBYpplexPx/ci9QjRzjvzeBY +qIepl2mGaJZcD64An4rOfcX0FNz2YJt6dGXmGaBZoBl0Hu7c6Njrz0eCe4p6 +i3q2eve/ZnwvVQ== "]]}]}, { EdgeForm[], - GrayLevel[0.651], + RGBColor[ + 0.5022526249999999, 0.5282762999999999, 0.5362260499999999], + GraphicsGroupBox[{ PolygonBox[CompressedData[" -1:eJxFl2molWUQx9977jn3vMvJezEF7UN6k9TUckmsL3WvZcs1RfJqkLZIpZBb -n8LUChcoKMJIEjRbbYEWy77lHuR2r1aWkaChlaVCmbtRmf1//kf68DLPmWee -mXlm/jPznOaHHhs/u5QkyaC6JKkXnVskyRotPsiSZItok/h9xD8kofVa99K3 -XevrKknSTfTVapJ8ov263Hx4YyRzi/SMlMytosMLyy+TbBfJrZLeldK/oUG6 -Jd8u+Vbt36jfk7U+X06Sw1r31DqreD1UNtpqSbJL9KD0fKHzV2r/H62/r/d6 -rPaONFiec4Nl9xrRZp3rEXpbJdOs/ZaK/R4mma7yYajogJp5e6TzqPb/Lfvc -LNEm8Z6vt8+sV0lut86N1jdNMuvFb6xa12Gd/bVinw9I70rtNxS2j074k9Ik -eVoym2r2BZ/GS+6U5E7q9znR+fgs2e761krukM7+nftu6Cc30COxbtKZC5Jp -FJ1XWP73qu2ik7tj/0L48FPJ9+SOM8SrSfa5escwrzj+c6o+93Pq/OwsOUcz -xW+X7B3Kw22F+Xur/lh/LfnvtO4AK/L9q9RreM36Vkj/sLJxBt7eFz2m/ell -4wdcdAQ28O9bybTIjx2Z/cEvZKfXWx5MgI3VopeXzH9Zv/9IrfdYah17Qs+7 -imOb+ItS33tdg+/+jb4u8m1HnffJ7SbJd2bG2Zei/bV/teTXiP9oal+fkb5+ -DebjM7lEDpnHpX+Y6I+SXVj47gdFSzrzknQ+J51zq8bvL5IZonj1lZ4ZWm/P -7HdHZlwfibogNv3CFjb7hj8bReeBt8T2wf9bifN5JOqiPXyDf0XZ8QdrE4KC -N3B8LGqZ2BCjZeL/VjUmnyhcD+hCz4Opa3+q/NxXsp6KvrUl45/1OcnPLjs/ -4A38o5N7nQ9Mgo3eVZ9ZHTm9THHqXrIfyOML51lTc9Qe9Uj+kBlbZx29Qs/U -qmPyV+7apZ6RH566Vo/qLqtr1jlfMk/lvtPuqmv8norrfHFm3Qtz29kVtpbX -2RZ9MotaJN8nC8e9R+G6Ox/95KB0raiz3LzcOP1S5+fKnxHam5m5togjum/P -TAekzu+n9c4B6+5xt14RN3ygrl6puH8vLrxeJPpZ6OsTscJ3bLdL/zp6sPQv -0dkXy8Y9d14Sa2LWGH2P+h4RfaB31DM2zxbGZqf01Cme5yskyzXHupPYZbZ9 -QrSP9nrqDlfVbGt2nfNNT8uifzIXWqKOetdcV42p/eEsOAXj4Jm90/o9POqW -/JAnsJOHzot5Ee9UzBrq72SssXUqZgMffOYBveTyqAVqtzlwtShzDZyNGiW3 -9CZ6CP2DmdQZM5Oec3PuvA+U/x/X7N/nNdvENj48oBhOka03pXNzzb5PSS1z -MnxjrrZGTMDQisgpfWhD1AK4AB/g5Mnc2AbjN4i3tN4xWhC9iJ4EppCnb7RE -LNFPTVNf3P3S/GuPu9EPxyS+67iy+xc4BlMviD4ru8d1vil1DNZHHOgzQ8vu -Ca015+xUaiyBI+7yTm7sjdZ+79w96aPMGCE++/X7ptyY3qqze6VzYtn+bBbv -7rJtDkodH2LfI+qxp+i43FjYKJ0dcR/Ovif+GZ3vmboOwfko3hE1z+iBNfcx -8ED94C91hs8tuWt7P/6k9hnf79KZVmJYizuVjHNyx9lLmASL4I38sGbu4Af+ -LJOejSXXKTHkDUUsiMPIyOstomcy9y562MDC2J2SOQfkYkHuWBPz06l7WxE+ -EbNxETfojsAuGCamvWLW9I8ZsjM1f3P04K5RI7OqvjsxeFW235YPr2XuA53h -P/lnNoCBauH1+qpnL29NbG+J3IySnqbcfjaKrs6M1w8z5xYMEP8z8XbiDUU+ -d8SbkBwSQ+LJPdEzO/oU/eqE5G9L7duFwrGfHHOfXng6+gm8EaHnPvlxp/Ym -i45Mje1JuX2Hz+87M2O9Lft/vnLfqbnj+7DotYEr8MVbjTcbb717I98dqXv7 -8pih6IVPDHlzUPPTJXMuMy7/jPnLXMcm924Ln6dVnAsw80bU0uuZ3yVgkJo4 -kPpdODEzXtBPP0HH7ogD58DfrnivEONHcr9DwT+4xs6qsAVm0Ul/bIz5C1YO -hi1sUjOc/SH1jKbP0G/2xP8L/mdge3jchdkMzl8WPZ655zBLJ8QsY6a11Cw/ -J3W9bg980tOOx712Zu4dF6qeK/S9QTVjEUxuE29X5jvyRiMfxP/+3P1vb/TA -rZn7/rbMuDsU9UJvAp+tuWcGubzY9xocz7aYV0uj3snzvqgLsADO6cnkck3M -/SHxv2Zw4J13BTheF29lsEFv4s7EhTPooSap025xd970zKvThd/HvPeuL/xG -I1ac/w8QBMmy +1:eJxNmFuMXlUVx8838+1zzmAvlCLCCMUqULwkWgtPGunUJ2Ms1DciJcYXb22J +QTSAXETtAKY37NRKBtoCnSm36UXR0ru9UCgzbQyYlrZJKfVFW1+VJ+L/x//f +yMPOXt86a6+97mvtb+b37vr2kp6qqn7dqape7U83VfULASe0b6ir6of6uF77 +01o36fv0tqrG9P1urYX6va5jmmu0vyvcWa0PhN9VRCtcn87dL9xoV3cI/7Zo +39PvKwT/NHy+Vfn7ptDM7vj37wSf1z6utUJrmWiPak0IfyzwHsH/1V336Myw +7lonuvVd87xVa7Xg2yrLdkbr44IXBUYG5L2zxzJ3imWaL/hf0n9C8KnwXiL4 +OuH7i3lBf65jOZBhea/pdwu+oDuPdn33DtFPEV1Hsu3t+l7uPyw7vq975+ie +21rrdEHwx4rxg/p9Svt/tL4jeIrOnhW8VPA+8Zsv+MvaJ7Sf1xoX/r7GMq3A +V7Xhe4Wb1ZjmjHgvEbxW+MXar2x8x+Fifpd3zXNQ8l0peHNlv56MDFcJ16/1 +FeHGasuM7Kd7THMH8dHYx2PiOVB8Bvq3eoy/InzgP1bZptjj+so8TuWuvl6f +aaAvhjlLbBJPxEm/+A517WdsDjxX8L8bx8b5xn4hbrDPJPH5i2g2VLbbAp0/ +JfgRfX9Yaz3xL5pvYGfp11M7honlS2rft6/Yt+AHRP97wZcLnlM5TqcE/pLs +8rrga2vfuT33XqZ9Wuw8Pzog/4Rk3SYZ3tS+t+MceEL414vte5XwJ3XuHa2v +6tstwu+Ijyahr2gmaz8h3HGtmzvWY2XH8h0tjp9rRfNor31MrA50HL/wIRfX +JXdeEP3toh+S/Ptb++PrOjvca53RETkX9VjWZ0V3p3Cfbu2HNfHFM8IvII5a +5/JKdK9sO3J6HneJZov2WbXzbHFyDdpVocfe/B5ITCIn8baxtgzPaX8/uVrr +rlF4Cb+pdn5/t+OcJX+JJ/KQujAj9t8o3CrtD2p/kVjo+PujtXNjRPi1XetO +HVwbvn+onRPcRZyT44tTZ6Bdm/i4oXXsUl+/KHg6OaCzRXvdte3O6NsB0byt +u35b2883aB/C5smRjdpfiOx/box/pTifXktO4asnkj/4lHp9R+JzIjG6JfiF +yb+h8GcNx/7zct9AcE/1WvdR7SO9/j5afOfSYn6bc9fG0OB7YnA09Ick8ybB ++4v7wJrU4f2N4+6TreMTXQaj68bwgd+mwGsiM2ffaHzvG8UxNZ74PCL9DyXX +yL9Xkzs7RPug1m/oI6nVxCr5SU5RB3Z2DROXB0V7SGt15XMP5OwlxT4FpleR +5+QsdwE/k7PQD1W+51hqB7x3Jn8Pds13afjz+4Ho/mJ8Tc1HF/rCS/mGHagl +0HOWMwcjJ/WMukZMz24t/9+L/T+enDrbWK5HimN1OP5dHZvgd3rCZbHhr8IT +++wWbk/XNfSXwl0a3aeFHr6cmRbZftDrGnUqck4LzYL0MOoz9elIetznW8tO +XtIT0Z1vnxN+suDPtuY3EZ7YbXLumtXaJ88VyzI9d5HrJf3imzrXdo1rk4PA +1Ly/avVobe01PbnJXNDTdc1mBsJOe2S/51vjr45cUyIDtWFn6s71rfvVs8Xx +TZyvK7YfdpxI/Nwf320qrs2Pad+VONmSmOT3QGz+cPyLTw4EptfBE3tSh6hH +5Pfk4jP4aG+vYejPhIZ6tbw27zm1fQx/coJ55KFex97hxAHfX0sfJ0+nMucU +33+8sb7oDQ35PJaYWZb5bUWvezNycnZ5+hG+2ZoZ7Ghj2/9c35+vnU+fqv19 +W2oXO7+h4/7BzGM3NZabOauvOOaw7UuN7365sQ2wC3oyGwBjH3hMiQ+WR7dl +qaf0jg9iN2Dqz72Zu5i/sN+59NTHi/1Gf4Pf1PBkfuxPD1qWu6C/rradqKno +jE70VWoF/R6bzy2GqRvMUQOp/XMzb9GDLv7eXP1ftw3Jc/JgpDaPuaEfLLYt +Nkan/ui4NLX9XOPZjL5LbWfmB2ZOG2rcs5vWOVSSR38qrtGvZN7sz7wzlLkY +P9OH6DPUanrL8Ed6HDWP+kOfvzs9pSr2NX4/VFwHDzfur/PCZ6K4vr+TWQUc +dzATMBvwVvhbcQ6cbly39mbW2ttYjp3ajxT3yCOCTxfP+V9r3VeZY4kF8mvR +R2aVFamZj9ee/WbUrrvAxB62Jn/w48+K9RgX/12N9W5b67Iy+qB3FbqtgS/a +8ELsCK4T/NHg50ae85GprY17SnQ/Lq5dvOew/z3xwWfiv5naZ7Tus/Tqqnav +GNa5a2rL/2pq3tr4lNqIDB/Oj7XxvDNW9fhtSLyMtNZrkej6Ws8tzC+TauP5 +/mRjXgcaz30r0yvpET2p8+QyfZf6viPzMDlGXwcmztlPBo/cyP997T8p7pnM +pPQT+go17ckez3j7ohs6Xp25fVJqAjP1ifR0Zmt+X+z5x4MfrN1X1nOmuM6N +5f2L3KvT+/oi/3h8hHzMEegFLXUL2eh3+Azf/ai4f1BX7yueT7mLXKOX0FPu +IueKa/nC4jcevphSe/bZHjl3p2+Phw76bY19WMWP2zMrYc+B1IoP32yt8+UT +td/rvNNnx/Y7Yn/06Isuf2ycJ6sb5xX5tbtxnSCmL77RyRty/vb0XuQ7kjcu +/ZQcujl5xPueukANujFzMvPy8cxd+GUkcyN59M/ouCZ2m5HZnno/KfX/ltRC +cpPYIBa4eyg5Tp1/qFh3bEDtoIZ8QfA/8qYaaVx3qD83tpYVmZFnau27L63d +x+kT1GfeSeQz9ZE3BLGHHCPhOdq4jqA/b0rsjV3hObM2/8dqv3eXpfcxD07L +DEn+UwOxw1v5n4O0Zmc2adLvkIWzLxe/H3jzvZk36THt7zaeLd9rnA+zo9f/ +ALZhSUw= "]], PolygonBox[CompressedData[" -1:eJwllVlszVEQxs/tbXv/y9WK6EM9oAShtbRqeRG31haNWBNbiC3RUk+oJWg9 -SIgQQqJq3xKxvxWhEmupPSERUSKWRCjRVlD1G9/D5H7z/2Y758zMzZq/fHJZ -knOuFElGfgXOrYk4lxFzribu3A8PwWAHZAX4Dd8foydSnRsPX8q3nuAeSH/0 -bfC7iVMSdS47dO6279wTcGdi3gBfx6Ye2wxi1ILP8C0D+4vYnAVXEq8Irgk5 -SS2D0D+mOPce+Ui8amyOYnsM2Q92xGiFe4beSu6N+DTi2xGZi28lPvvg86j/ -B/w1fG5G9W0T3Cn0C+id4LvgO89X7SXoM/B/gs8dYpWhb4Avx6fVyWd1qDux -u9mOHIdvxn8r3BFsmnzltNxV5NuI/VLse3H+OmI+BC/yVWs/+Hz4hlC21dzX -a3AO55sMzsKnL/gg9mXoITHbky8dmzbwXyQNfJV8uU7f2qOPwGcIvvnkGA4e -F1et9dgUgQdi8wWuA5IHjhDzPNxOzpAE3hNTbXYHdhfpgXJP59s59ARnuEw9 -V+FnwI0kRgHcBWI0wn2j3i1R9USj3Qd8AvwdmyZwX2xyiTcVm0L4B8hzcDE2 -9YbhXxJ7Ct+WxhTTYlvPDaD+A756YTHx5oTqWetde6PP/FZQU3FEPXcO7k9M -vViH3MR3LXxpsmqsQP9GjEy4gHjfQ/WA9YLd0VdwAvsacBU2Oeh1+DyN6kx3 -ffWI9UoL31rQW0Kd1WI2g2fCXwEXYjMbfBibeUl600PgPYF6fzCymvht1Psi -qju5B5/tKXeDvWegnrfetxruwOeGestMztud8572NVvvyLcGbpWnXrCZTsAX -oU9LVo772JajD8U3Qc0FoWbaZtt61no3O65etB7pE9fM2OzYG9lbjQpV+31k -NPh3oNy4uMXUupUcu6LqyQL8+8U1C92RJZ562Hr5E/kHe+ox6zXbObZ72uDv -RTTzEXwzQ71VHvFXwK9E0lK0c26RaxryNkk9OhX809fbWE9sAo8hxyTy1VrN -4Fee7tZ2ju2ePsjeiN58GGf5RL4PKZoxm7UST7XbztkMXxtTLKtxNNwjT3dh -d2p3W+Sr123nLcO2W1xvtYwa1gcSw7ZDKn3dgd2FnaEBvDum3dKbbwNs3n2d -3Xaa7bZZgXrrHfZvsW8XaNZtZ6aBFyATk3VmO3tWXLFsx3QFLww0e2azKNDO -td1rZ87HfqyvWbQ7GQNODbWrLpEvBt7ia3fYG9tb3/bE2YzbrFtNVpu9kb3V -NXKuT9EMriPfnEC7xGakANsJcf3X2H/CiUA9+b83kRHgf1+v6HQ= +1:eJwllVuIV1UUxvecM2fvM+lM5ox5Qc0pdaxMUae3ECMQIgzsTdAJeknLC0EG +RShaXh+0sUZH0RxFZyZvyahFkzpecxz8K4FRmOCtlxp9FaGXfl/fw+J8a39r +rX32Xpfd+N6Kd5ZnIYRPkWpkdwxhZVUIdUhvEcLPZQi3IF5DnwI3G/1GHsID +9Gb0k+hn4Sv4bsN+IIVwHH4R+ifoS5GvsH2TTb4F92L/B/avstaIfy321+EW +49MKHsvaFTj9VBf4FGvb4e4jg/ivj47VgM0Q8PuszWSvVmLuJ3Yn+tvwu5Bb +ioX+pzAykliXkE5idSHn4YZh00Gsw+iX0M8hY9Dbkb1wP+q8xJ7DHiX6Mfib +xNqG/XFi/YIcAh9BLsNNw3449g3IaOz3wq+C60Uq8IfRt4C3yif5n/Rvt5F+ ++O7os4/BfxK4h3g/6WzsvwF+JGt9/Nsw1l6BG9T95c7Jbfj7OiO4Dft74H3I +WvQvkP3gM8ge8CT40+CdxGthv3us/YN/B2trwH3Ir+hD0CuZczQU/AN7Vqp9 +5wHfrdhcAw7CN8FfSb6L+ax9BJewX567pp4oPvJW5jt/Gv87hX21h/ZKyID+ +R3vC1WPzOHMOR8HNQp5ktpHt19icBy9ADoHbovF84s9VfWLTlruGTsI38j+R +/y+RZ+C/gV+W+x/bwHXRuc/gv8O2RT2Q+Y7add7o2n8d2QK+gU8Pvi2c9zq4 +lrVxcEuw3wc+gP86uM+xmUy8N7CpAfMJ78LVYFNf5RpTrakmVZvqmaHRNaZa +k8/RwjlULtUj4+CfRVbnvpNmuKro3lWOlKsHrB1jr43Y/JV8J7ob9ax6d1b0 +WU6jn0AfnVyLC/FZyX7PwffDX8Z/BvwF1WjuHlIvzZRPtfeYqLOXzr1sxoOb +dIbgGaJZMjl6lqimVdsriDcPvgO9G/0I0g2egU0Dtp/Bfxm8Ju6Dwr24Hf1A +6RmgWdCOfrB0D6uX1ZPqzRdZq612D6oXe5ARwTk/AT6LNAf3RB/4FP47cteM +aqcs3StaqwFPiO5FzTDNsudL51419ULpmlJtqcY3KP/I0sw9u5rYm5Az2FfU +b8S/iHyc+w4ugLuScyWbbmynlJ4dqqEmzc7kWtKd/J48AzQL1LPqXc1AzULV +VBZ9R7orzbSn0I8mzx71rHp3auleb0V/GdwRXbut6snoHCgXOsPB6BpRrSin +m1Ufyb1ax9qI6BwoF7rTDwuviVMOXoLrVz3mfiMG4DujZ1U9/HT4UdFYM1Sz +VDNJs+ku8m/yG6C3QDO4Xu9F6V7VHe5C/61wrWoG3kV/mPw2aUY+So6hWKqB +v/U2FM6FZrJm86rCd3ER/U7yDNYsVo3/X+vRs11vzMbomlXtqufV+zcL+2rm +avZeS34LNSMqyT2l3voe/Sr61cJYd6K72RT9NqrnNoP/AwV3AI0= "]]}]}, { EdgeForm[], - GrayLevel[0.713], + RGBColor[0.6050727499999999, 0.6224715, 0.6192121249999999], + GraphicsGroupBox[{ PolygonBox[CompressedData[" -1:eJxFVltsVUUUnXvvufecmXNiwZiqH8ZHagOCtFH6uDyEUltsWppIaBQETUwM -UZBiYgv9UmnEKG0ixkDVRFCgL5qU8ANNwIBR+ECefpiYEK3+aPRD+EBiqnGt -rm38mOw9c2b27L322nvOgy92r92Wd85dxyhgXMOkA2NzzrmvvHNXsHgechNk -a+Tc3VifjJ27hL0VwbkxzCswajHfhj0P4+w6zOeVnGssOrcTZw5gHMG3bqzf -wvcPMW/P665nirqv3/YOYN8vqXNHsbcucW4KcjXWn4D99UE+rMT6s9BboK+A -vhZn+rDvLuzpKcg2/T8GvRJ7YNrdCzlp+/5EPIex9gZsDJZkpzInfQDjScyb -4EMd7OyE/WnIpVgbx54G6Bshj+N8d6SYGS/v5N1nsD4eFOMY5DsYPdBfgZ0R -6B9A3wW9JnOuCme2JMKE53mWGBCLI9B/xLcJ2K43H3g/8b8Wy/99kO2ZcjEN -fbgk/PntsUz4v5rI54vmN79fsBwR+ywS/nsj+Ubc2iJhzrvmBOXuADCbgeyN -ZKM/UrzcfyOvWGg/KQq/5fCh1Ss3qyEPGg/IAd6Xmb4Icj9klLN7InHxkNf3 -zyHvDNo/F/J3xPkz9KlMudpTEkf/i4H+ECfylf6fwno5Ek+fxtr3ed130uRD -TvwdMn1jUOwbINuCzj4VdI4cIn9eh6zOiwPDBflNn1vAmVWMH/L+ID6Ow//h -IN86MsXE/cxZXFReyXHiyrwQW/o8ZjW1Hnt/sDnxpn3yhFhXmQ+bi/KDPnwB -fE5j/Vf4ULaaIpd2QN7My29yoRnfGiFXGc/Jd9YDuUN+3ROpdmYw/y2W7E2F -67j5xtw+Gil3y4P0RxLhOWF7GrA+H+v1kB9hvA19CHIJxgLo5aBczDcePF/Q -HTx7Ryo7FZDrvL51eeHBs8zZdqsX9o0dqWp8zAtH1ibj2RIr9y1Yfy0Wpp1e -ODQabzuCarw9yOYuq0Hyi/lh/1mSqqZYW8SSsbC2VuBMDfQFiH0U+0dKwn2/ -8Zu8oqwxvTbSnLid87LdG+ss7XflVAdtJeX0m4K4MsuTWPt/SlRn5D5rbVkk -3jA3xGO75Z1YDVmPZt2wJ7IfMp/UyVHyZcL2LEzk30rE9HgsHGhrKeYLIZdB -nsn07SzkC4n64JtB/Yexd1mfGTaduaHOXDAGYlppNcfcE5M1QTF0BtUY/Zut -H6th8qHOckX+V5VUh+R/v9cdtyGb4VOZPdz636jlojZTn/ojEZ70gz7M2Js1 -62eiPnUiKL8NVl+7I/VocmUyEx5vBflzw3wqgxsNuO/TWBgwXvp00Ks2P/Oq -72rrvewxU9bP+3D2fdZqKt8v2t1HLSfE53Kiet8KuTUWNt8lwoqcJ16LU3H+ -Ja911mdkead95ps+0M9qi+eWvTusGdoZ9fp202InXoyxOVWcjbb/KmvI+jzx -HbF42Sf7rJ+f9cL6S6+3nPFch1xsOt95xsBY2C/r7b1j3bN2aCvK/f+vwN7e -VJLONd45ahybtn8S/pt8HJSzT4LqhPXynP2rsB6IKbFn7yX+rKGrVkcPJOp9 -92H/117rM7D5blAPfS/o7SGmf7EWvHh0O1Z9nLR6438D+XElUc6YO7757Knf -FlWDe+3tpd9/2/v6D+Rur5j2BPXwecbh1lR9+1CsHJH/5FJTojd7U1BtDVh9 -UQ6aznv49vAu/u8M2n8Ox4C9oczJacOHc9oidmsy4d4J+XKi2luU6f4e86Ev -0T/BPvgwJ5UdvkWV1nPIz38By4lBWw== +1:eJxNVltsVVUQPefcex4aMWlj6W0i3AK2QAsFArZJobeRJmoLPsAPNRFIjAE1 +0frhp35AfCCEmkgpIhpFKlH/LEYT/OBWjAYTCQnwoZEEm/igtJQiVNAUXatr +NfJxsufMnj179pq1Z/acJ7vXPx8FQVAMgyCH8VwaBM2Qz8RBcAXfXOj2YZyR +BMFe6D/OgqA1HwQnYTyO/wXQn8b4FfRPwdFWyPOwZhJrlmLcj3EObI5DfwQ2 +8+D/I+i3Q/8pvp8h78bYgG8hvj9hdxn+x/GtxR7fwWcBujbYrQ+15wnIv0L/ +G75+yHNT/d+FsSqV7TPw1RJKT5sVmex/hP4v+L2G7zbMT2JuE8Y7MEaIcxvk +D2HbBD8wDSowtsL2IuIp4f+BnOJjbNSXIVdgzaOQr0I+GmicwNcF/YxQPpdB +34dx0H4o02eNxzHLPOMI4jxLDCPJPC/3IyafQV5kfDpCjZct34r4ezD2I/6V +OflkjJN5xcl9Y8xv8HkrMuFwI1ZcjKlgjDuN82hOa2i/DPbVsCtin3ro63I6 ++8y89ORNCV9VXphTT/kg5BqsGcRcE3wUsK7a+J+Ldc4x4DwM3QXvt9qYEs/H +cpLLkB/P6Z8yMaZMnOtj7ccYthp38nAz/O6EnGL/Wuee++7CV+m8fA2bfuiP +pdJN5KQ/jP9eyAMYT5GDofCnbWi8XkvF2d3w/0qq+F7F+BK+ByG/jHFWLBwZ +TxJKJp6XyKucdDwfz1y2f/qucT7WBuI0Y2dsvFdcN2af5G+v/eQzYXjVe160 +zfVUef/dub5hPhA/4sj9l2Dtc8jFIZzl+1Ay7xC5dMD8/CFRPB9gDDH/YiTO +Ep/uSBixRrBWdGOvTzKtvR327+N7GjZl303yoS8Q/3lexrM5Um6IP+P9JhJW +vEOco56Y7DUuQxhfiIQduUWfBezzUyLfh7DXe4k4sAUYFGBzBfZLIK/BuR6J +xLFSqju3IGWSxKEvMsVyf2Re5HW3iRXn74vEM9a/dZG4sQNrH4L8RqLaRmzO ++r53uZY1mPO8Xxvx3xGpDjEnjI04sF7SD+9OliiOLzPhPe46QT6Q0+TEvc7H +HoznY/n9x3xmTWiHn3yqejozVY2g/tlYdfFMqDu7K5G8MBF/yN3p+3ja/Cdm +xJ248dynrK+LxRv64V2ejf/z9jHbfqb/yclO10zeX5570pykTCwYK+sW9Ttd +l8mDLbH6DeOZn2iea2jDdYNey/vBnsS9yEtiSjyJf6NzwBjYd5gLruHagnsV +7WtdU8lbYkg+HjMnWcOK8f99hHr2DNYG5rrPOWPubklUJ7hXl2sM15LPje5/ +nCd+xJF1jPO19v92MkXLYGOsmkob4rzQa0+43tbfNF9vP6zTleYA/bc4R8Rk +NmwHyNNM+7OeMSedrr1vxeLV55lq/nzXH/KBfajsGrLSeWQvYo9kPyJX+VYY +91mqXVe3uxewJ/AObXO9Jjc48s2xLpPPVYl0XEt9O/SN0N+dqPctck/ckCq2 +JzAW8zoXe9EE9h1hT8G6d1LVsDshN+OrhU0j/FyLVYtT6JZn4n9Dorpy2tw/ +5jvKvF/PCQv2vjAVJ/7GuNjxdPj+0A/9DdnHUeer0z2LmBJb3t0K56nd9Txx +zyWP9roPHInF53ddR1fZvifRnXwz0b2fVAmbiqfJOSr7LVDy+2Gx9Ussd7jO +t9ona16PeyT3WWk93xSUieM9mfw3J7KrMzfqjM9S3/Euc6khL7nTveK4eyr/ +aUcOHzZeyxPVjFmuIVXO50G/wRodM99F9EEOtzonjPOA36t8t27xG4BvgcpU +uQxS3a2i6+eE7whjZt0kjsOxzntxGjvfF8bQ5vvMe7MjVsyMnVw/6TOOppJH +MA5kqpP17Aux5i9AP863BWwupeJpwe8T7tPm87a4T/LdPOJ+S6y+zek+846H +1rPnkHcl33H2lk3mxOuxYmAszMMa54Vc4Txr14pEeSpl4slq1/apvPlc63iP +ID/sdzfjY2wtifi0OtPbh3liXnimGt/fRbCZA5uWTG8R9vj9iWoxcRhxzWe+ +Km6qC6zh7Mfsu6G5Mey3It8pg65rf9gn3zvVrifLXKsLjoHYFl33/o11nysz ++TtvG87X2mbY/XSfYy+ai3xbjfrdxVpb59rbZl4St19S5WkI455Utr2psFlr +fP4DoPeUmw== "]], PolygonBox[CompressedData[" -1:eJwllEls1VUUxu/DV9//f99LqITRCKIhhlFLRMujTKUDVmgToIRBppA0DWM1 -YZCdQigoXSgxgJIwyCAUEggLYAFJSxgCyKSxYbQOK6MbXCgx1fj78i1Ocs79 -znjP8Mryltlre4UQVkJZqCsJ4SEPs54LYVUuhH7IfyJvBPwkhnApDeFbsP6Z -EDrgd4DXPR/CfvCz4P9Av8KX4KsJ+3nI1cgJDwPyIUxGfh25DBqN7WnpgH1H -jF/gu6Cb8BvAt6P7jBhtxDuMv7/hOwshvInO++Cn4Ofwthh8CdQI/yI+/8K+ -Ffwr7BdC0+HroEqwB9jeAi+Sc1XBMRW7Erm+4BpUywGoDf0foZ/Bc+S4Dt25 -qWOVkU832Efot6DbyH+UIj+CutFfgM4H6C+Ojj0A/AbYfuyPgB2FDsBf4e08 -+qPRqYj2Kd8n0f8JvhpqALuH/hX0x5LjcHItkk8F/zkFvCbrP9Zfj4f2YDsK -eYL+HpvdyCOQy5HfjuYVU7GL0brKWbmPhMYgzyZeLbbPcu61YsyPrkG11CIv -iK5Zta9H3qbekt8w8jtDDT9g+x5vk4N7sAi+J+da7kKX8f8y9t9TS3/wl8Cn -Jvatnqq3u3krJ7etvH0JfxU8m3GOk5BnQBVZ90i9ege5iHwB+TpyOz76Ev80 -/k7AHwf/IusZ0awMgprxt5O3b8BqUs++/kx/t4E/7sH+FG8b4Y+l5gehPwT9 -Y8qhl322w+/KeVbXojMO/SroKfhb0DT4u4n5DnTuo/suNu0Z1zATvl45ZlxD -nXqD/htZ74x25zHyq8FvU5A3J879c+ho9M5od3qI/y++pqfupf5gNfH2RP+l -dlq7vTJx79ZBrWAfR++Wdm5L6hpVq26CbsNg5IFZ/8nv+HvC24mMc1JuK7B5 -Dd1yelqk3qnRu66eqXeKoViakRWJZ0SzMgybO8ifRt8a+ZAv7Zx2TzenE3lm -wbXexmYG/MHUu9SMzhLi9c57dy5iX5p3z9X7z8A35T1jmjXVMDTxjGhWJiLX -g+3LOXfdIN2iVYlzUw/LiPdb3r5V8ziwvdG3Zjxva4j1Yd6xdAP/wH5i9G5r -J7Wbh3irKvEN0i1qSj0ruiFL8Xct9W5oZ67Cn4u+RS3YH0JuKPhWaeY0e1+n -xgro9EF+IZrXTdVtrS741mmHtEuaOc3eNPAact3B21zlhjwBeU1iXjdGt+a/ -1LMkndbUNapW1VCL/jL0N5f4JnegX5237/XYrFa+qW+hZlqzvYt4W7LeOe1e -Q/Tfawe0C7KRrXQ2gfeO7rVuZin8/3qlzrA= +1:eJwllElsTlEUx+/7vu/d9xERbaIqRAfS0qIVWokOhi5QQ5UNoSQiiKSthY1p +YQpqDIqqpsSQtMSiVoaFWVhJykJCgoSgpUQpEsPvn7P45/3PeO8795yTtbJ+ +YV3MObcKJMD20LnHgXMP4s69jpzL9M49Qq7HqQ2eB54hv0OelHTuKPI35Epw +BH4ILMI2h/hNxK8h33ZsM9Gdhq8DB5FnIbfAL4LjnHsb3R5iz4C5yCeQz8Jz +wVP4evzb4b/JeQ9eg+49sfvRlQd2pwPwW+jWxuyM/sjN3nxDcBVburezavEp +4P615CvhrqWgDp4CcHN3safCt4L52DrQXSLWE/MZ+Qv4iWMa9of4lmEfDL+P +PT+0mpThfxqswt6Dfx/6ichvAqvRQfhk/LMS9g/6l/rQ/r0Seyu8BqxArkA+ +Dt/MGfPidqct8B7wJ2Zn6uxicown3zgwLWlvprfrJMfu0HIo13LkD/Aoaf/i +kRsje0O9ZQnx1dhKvfHF+OyIrEaqlWrcim0BPlOwb0C+on+LrHeKyfEK3gVm +w5+g+6Ta4t8NH4DuWmg9ol6pBBvhcewf4dnUsxf7MOSA/OfR3cHeAY7FrSaq +TXdkuXUH3aUQpMHPET+C+xRg743ZGyXgo8FLbN3IY+DPQ+vltyAbeTjxQ9V7 +5GiDD/TG1SPqlcvqMWc1no79MHIF/vnIU5GLvHG9kd5qARgKTwdVuntktdY/ +XIU/C61WQ4iZoN4hPhOeAYqQ70b277rTKfgykIucA5bCm4kvdKarQd4FlsTt +jrqrela9q5zF5MvwdpZqpFqlgl/4p5D/BrkGIffFLeef0GqkWnWi+woPiN8W +WE9fV/8g7wusxulJy6Fc0rV46xn1ju60E16OT17CeuIFvv3wOQBfTfxN7QNv +s6kdpF2kmdfsa2YakGcQX5Cwmqv22inaLbqT8/bmevsqdA3wvd64dliW7gqq +Y7ZTRns7U2drR8W89bB6OQBHQptBzaJ6UL3Y5G12+LiT3t5Ub6ue/hHajGvW +tSO0K/4i/4xbTVXbUZH12gXiR0Y2A5oF+aRoFiOrtWb6VWgzodlQzSZ5e3O9 +vd7snxZVZLtKOzGAf0fXFbcZ0ixpB2gXqGaTvfWUeks7Z6y3HaxdrDdIIjeF +Nnvq2erIdqZ2p3ImiG30VpsX+LRjy/G2W1RT1fY/qGy/0g== "]]}]}, { EdgeForm[], - GrayLevel[0.775], + RGBColor[ + 0.7120440499999998, 0.7199036999999998, 0.7047170749999998], + GraphicsGroupBox[{ PolygonBox[CompressedData[" -1:eJxNlUtoXVUUhnfPPfeee/ZJBVNLtfjqSHRgcWLMreCgSZqm3lDrwEwUdOSD -apXa1rnkRlvoQNr6wIK22iQlIihGq4IVHWihgoViic3AoYITBxWq4v/5L6iD -w9p77b3X+te/HmfTE8/terZIKS3pa+lb1ebompSu0zdWp7RTynHJfrbuu67W -2s9IPy05107ppTKlj/V2WHdOSf+u9L3G+oPSzZW+x5057T+SvFil9IrWj8rm -etnsye/LpfdvSv+k5Ebpp6V/rfR+sm1b2DmuO49Jt11+rmr/gfyukyx0PtA3 -Wtg/fg/r7HQnpcWO3+8Wvn3SvQVe2ehJtzn5/iBwPqU7L+jOq9zReknr9yUP -CdPjsv2J9Hsrv1uV7iudfa87X4ftfmHM24aMe4dwfqj7P+j+9dm2wUi8+3V2 -WHf2SU41xvh2Nq5TkYsNpWOUSJ/pbI9078nXBdmYaZunZypzcFF4ZmvH/Y/k -Ftm8Q+f3CMsGrc/o7SOy8Y3Or4aPqfA3LXmfvru0vj/y+Y7Wq7J7XjYm2s7V -p9n6M5I36hvWeqPkinxv0t3RbF7gZ0fwTG0Ry4A86Fur9Uh2jY1FLRE7uOdb -9o1f9guda3WDPF6ZP/TUwSXtz0p/IvTng1tqmVrF7/OVsYER/rBPPuCR/UnJ -/WuMpyX5sPgak/1dQ84necUHvBEP+PFFLsFEXcwH5v6Qbf8in1cK28FGK7tG -y2zsi4H/t8o5viX7DW+pl5HSfFFb9AkxvR7cT3Xs64vamL6sjWs2uOUN681R -E9TGrXp7BL4Kx8j5IO7vFOatWj8k+XftmOhX8k0MxD4cdUjPwe1yYU6/7dre -vdkzAr4ns+M7HTGSW/bkc1w+elpPSJ6ozdtyNv9LYR++LhTXZgFyIZsn+gUc -k41r8qS42pbN13j4XQhfYCRmcBI3PsD6e+k9Z8SNr37E2o94n658r924x6gT -cvNiY5zMhktarwjDT41r/HLb3PxaOY69jTFwB1/UZi/q8+fG91caY1lfGt9N -2W+xwZ41+WM+3dlxPzMXwQQeZh52R8MG2Hh3s+wckLxN/L2RPWOPSV4Gq2yt -wl/j2mYuHqqdK+Yr58vxP+jFTGA2LGb7no/exQ/YzrU8W+5O5h4s1NBo4x5h -pjKr1gbuAzHXmGnENIh/Cf16NPJFTqajBsDe+18d/tj2W3AdiZwy4+Bmd9f1 -MRz2qXN6g144W1syv4v4VxDz1iHbZpbc3jU++Pujcn9MRN8xN6gDao0eI17k -uVjPZK//rNxvcDMvnw/GjGXWMnepFTDNRQ+OBC/wsyfm5Gz0/l+lz7G/JTtW -eo45DucPaP15bZzgpbeuRJ3BDRzBJ/8t5tTBrvP3Xw0p7u3ZvPNvPxZ1Mib9 -Ddl41kn+C7iPAoQ= +1:eJxFVktvVVUUPueeu8/esQOhgDa5NRHbga+ARQEHSAV7C0lVXsVHe6vxNYCB +RmGGBhM0OqgJAhoN8ReIMbEONIw0cVzSAF5UiDFtfSRG7aXQYqV+n9/XONhZ +66679np+a+2z+tmXdr9YybLsJ5wCZzaC5ln2WciyGdABnHHIe6tZthnnYfx+ +IomeKLNsBJeuQv4VdLrA/wp+LfhJ3G8HfQ90CrqDFelswv8N6A3jfID/boXs ++aB7v+HcAN27Yfc86Hr4eRXxTII/BLoO//fg1PH7Y+i8DJuvQb4ftq5Bvg90 +vip+MJc92mVc/dB9HbK2XHlcdS6d8F1jjNCpQ+cgZFWcGfATOA3wL4CuK5RX +E/y94Ech/xl8Hfy3uXz04CwDX0D+O84e8CtdE+ZFH/TPnM+BP1uoRgOO6Qz4 +xyqqO2teKWSH9npz+fk8U4zPQbYa/CjqsBv8RtSqLBQ75RfAN3H+Bn9b1P0L +Qf4ZB3UY26pC8VwEfQZ2VoB/ADYn8Psb2NxR6C79EhPExiLsVZP0xyBbnhTP +l+Az8NO4c506UfVYG4UV1ntPUq69zvd0UH3bIX+/VN8aSbZoM4DfCXuXq4ql +DjpUSI++GcNJ3GtVpUNsECMt87xDfgy+Hk/yuzcpN+b4B2L7K6rOd0ThYrPx +zN4vgOJn1gFfNwf17GgpPG+Fje5COGP/t0O+DfzTSXjpMWbYE95jbX8MwsWf +UbEfyCXfWGpOHsTdviSsbwc9bMyyX8T1vHF+Cvqv4P6bUfigzUvQOVYKQ8dB +ZzxfnDPa4QzQ1qooHN8UhZ1O12fI9aWdHVE42wlag+yWqnDA//utw1zrnrWa ++0M7j0bh6pGo3A86/m1JPXm3lG7NNum/5hj2ukdPkibVmfVm3Jxf1pP9ZX2+ +zlQ/zi39sJ/cL9wt3Bl9ufpI/NxjPOyK0v8QNXkK8rmqdtjS7uDcbYVOxO8t +xsOcd8VZz9fSXiNtBOGG+Lk9qobzrslDSX7vLzUTU561PmOU8be808aMN+4c +Yo47kn0c917lHK0BPxxVhwZoe5T+ctBj3oPHo+bmsGvOPnDOuX+6onZWN+hI +FB5OBvWJepWknJn7FdBdSTEQU8T/Oe8Txs/9zJiLpB7MBsXFWWaPWCvOC7HN +OrPGzJf+ucfYd87HonM74L1Lff4edb5N26Hfy0F69NmRdDcitreifLwdtQPY +b/aalDjj7pr33hg3zofN03aH7RNrk8bM94V26H9+o3KfiZJ9V2gncPbZmzV+ +FxgzY3/HO3nU7xj5Me/8Du+QCcfAuSVtOB7WlrViDD94hxMP1GPcnLs8SpaB +LrruxMWc3zXe/7T0e4I6nXJ+LWOEWD/jd2ef/R4N6s8npXDKN5H42ZD0zvK9 +pazTb0BpncI2aIs2uQu7jbcTQTLGwrrSDvNjnOwXZ4pYoy3aeSPq7TsStdum +/P3BvbffO5+2Z23/xiR+AX62JN3hXqQN8rzL/ja9e5kbc6wnYa+r+H+f9BnP +9yXtujtLxRX9RvNbhL28qxTGWt53eVIsXwTld957p987nLucNZt2jof8PbMe +dpZ5v18PenMGjL0jrsOmUtgYMk74NrAmG0rpTlm/aawSkyNJteI+IH4uOvfB +pJpzVv7xe0D/lwrpLfh7oM07lhhiHqzXdNA8zOHuR6Vm/LRz6vS305WgPc93 +o83fPdx1xEjp7w1+B61c+o6y3xV+H0vXecH/MZdfguK7Bpv/AjEpPgw= "]], PolygonBox[CompressedData[" -1:eJwlk0tszFEUxk9n/mP870wlWuIVoithI7HQdEgsOq+WoWozGxJWDdGWUOyF -otKFEG+hDR1CIhalSFS6IiEhEp1qN5YSW5Iifl/O4ibfd8/zfufclgN93b0J -M8tzIk4tNnuSNBtOmZ3ImN0IZgPwngaz6+DdWbP2BWYVgnaBz3N3FPte7OfA -T9NmVWI/Y/8OHiVfP7ZGki/Bfpu7Z+YxbeQfgU+a1yjC/+E/nHSfv+CdnCq8 -BX4E31rwXi6R7yF4nDOGfT/1hhaa3YSfxZbgJMFlzqIGz9EBnqHGLP3N4V/H -vzl4b+pZvV/krpP33eXuObZVnKXgafy/YFsNXwY/Sc618DH6azbXTNptxp7E -1gVvBR/GZx2x68m5Cb36qTFP/BT2V/gPZFxr5fyBLQX/Cb5MjghcVH/gQeLv -EH8LPoi9TEwJvhW+IfKaW8AdxOwDP8K/hv0tNd5RayM9ToIL+LTi/4fTiO9K -eBN4HvsKvZd+f9FvjvgC8RPBtdAMX4Bfx967enoJrtPzh4RrLu01c81eO9KV -9Tfr7aew56g3p0PvV4ivg6Pgs1LPQ5o3PBf5zCrBNZf20uQguYtZ7y3HXSnj -M9Qspam03R78rcqxA5zH/3TkO9YO3ob/BLnf84Zq8B3WLufJuQe8mLuP+D7A -3gQ+lnFtHsOPg7uz7iuNpJVmotlI0xL+a7j7lHJNlwefgWahmXUS3xZ8lzWz -XPAZa9YzxEyD78deSzun3ZNG0ko7+w08Rf7xhGs4C78QXFv9mTPE3ou9d/2J -EemZ9b+iN1XAv9P+du3Em9g1lJZF8pXBV4P/ZWl2Dfw1472ppmqPpt1XM9fs -C7Hvuv7AIfh/JFGKlw== +1:eJwllMlrFFEQxl93T/d7eNEMRAQVXHJwI8ZEEw/RwWhmchDJMqiRScQtogfF +5eh2UAmIoEQECf4HHj3knL9AAopxw0MSvYg6ZmLcMv6K71DwVX1V9apr6fUn +L/ZfiJ1zB5Ac8ts79yFx7i84Aj9JnevG4Urk3Dx4BNsO+FbkLPhhBg/XQvD+ +4NxKbK/xX4EtB76LVPDthO+H34z/GsP43AcfxvaCtwrYjoDHeaMId5P4f+Ax +4s8n8nmEXkHyYI+tC64BmcK/ijSDp+ELxK4l307yLWGbw3cdMVW4Y+hN6M3o +I+gdQbW8ImYb9VTgb0WqYQi8O9O39RJzA72EXkTvRoaJPUeOtkTf3OitMPXO +asqDj+NTwrdMzsfE/sD2B/4lMfPgGL4RvAw+Am/NVMsl4tuD3rC3LEcP3Jj1 +LFZPrbe70GfwL2Mr4PsL27tEM/xMbe3ws/CX4ffBb8nUm9VIG/pEqrdr+C9H +rwTVaj0fAtdSzf4E8Tn0JvJ/itXjDeBR249Eto3oKT6nwFfhF+AWsb1N9M3P +0Mcz5XpvMeizyBvwNPIT3+te327fdA1cR5JIM3TkHkUfBk+iPiD2jte3VfG5 +7ZXTclsPrBdLqXbJamqwXgbFtvL9RfAAcjBSznLQjtquTqHvodY8+plYO1En +V09QrO18CXw61W7ZDA953YTdhsU8JX671y3Usa3CfzBo1+3No+CuoNnZjDrw +95l87cbs1mznbPee88a9VD2yXllP51LN0GZpN2W39dWr9gHyfYRf8LoV62EN +XPXaPbuhGfhN6F94P8a2F9yZqZe2Y33k/uaVy3y+226n2hW7IbulXq9Z2z+i +D/wfK2uFFA== "]]}]}, { EdgeForm[], - GrayLevel[0.837], + RGBColor[ + 0.7987852499999999, 0.8026662999999999, 0.7775599249999999], + GraphicsGroupBox[{ PolygonBox[CompressedData[" -1:eJwtlctLVVEUxrfe61XPPoGlPYUeo/4ACwIbSddbTUx7QlFhE3XQi+oPUCeS -NqpZEZRE1jVwlqmTjJ5CGQR1s4zuKNBGXQpHfT/XGhz2Pmuv/a21vvWtc3Z0 -X+g6Xx1CuK4no2csDaFQE8KBGMJ8XQh9VSEUkxDKtSF80PmE1pKe59qPan2q -s24BjMj3hZ5q+X/W3YPRcMAryb5d/l9l+6j9JfmclP2a1sasxR0Xzi3tH2vN -694+Pb06Pya/fC6EI1oXZFvMWoxPwlmne83y/6U8VrR/I/zf2lfpfJfsU/XK -U+AzWgt636O7d4WzV3jDwhrSe3OdxemS/bCeNp11aJ2U/z2dP9M6LtuTnHFB -LuTGnpjFjOWxM2uxtmm/IbEz8uK8wWvcH622gtbpeuPkonw2y79JPlsSw5h1 -nPuyjWWMr5e6M6e7r7VmEuP/tnP/SD6Let+UGKdbVdP7aHHXy3ZK9fTq7plo -scmhXba3jgk2MR9WWVz88D+rtSmxHEbrrTf0qFP2QfEwkLO6O5y3Tq1Tqmet -MM5pXYjWs5Ljwz8xsnpf1r4mWv/g74HwWxLDy8g+4v2Z1dlf2X9oPxetf+C0 -y1ZRzD96euQ7lRhfM4nVTO0bPXfs8DOdGJdokH7SV+pZylq/yAN9EYsafubs -nT08Lfl+WLneFG42MV2iiRNad3v+Ld5PtE0/0BE9olf9jknv/3ld1Ecd5MqM -cQ/dZLzH9JqZy6emVTQLBtyCgw1NzgfLkVypp5yzGrC9izYXzMeraHXQqzXR -epJPbCaYjdZqw+cus9bjswh+QTm0yn4nMe0Sn/n+Fs2Xb0BfrXHJjJIXeqOG -q/K5of2VaNhlx6eP6I3eoCk4Yg64W/S5g2/24MAZ+VHP5dTyOppaneBSG/fB -Ib8G53PFuSUH3sHAB5wvrkm0Sa/GfKbIq+IaQyvoEk2yRz/kxRn6hyPu0Utq -gUu+gfC5ykPOcuW84j79PkfkgHYGvHYw8UMPIx6bWMuuV/g9nZq20T5cLvu3 -8VBq9/hmt3nuvIM96LGYrWGvZcjrAn81X9dAyef3ezTux70XcNLjeiNm2TVW -9G8jPSq4lsCe8H9Ho39Li87bZK1h0MPjqWHzz/kPJ87jnw== +1:eJwtVDtPFFEYvTvM3LmJhdrYGlsflRY2REQE1Gih7rIMi7shxsZEeYR2ax+N +RiOJ/4BoYkvvL6DRAonxxVoa3AV8RDwn5xSTe+ab+33nfK85Nnf/+r0shLCE +ZwhPtwxhqxbC2RjC40KYtjvAXeAKeBt4HvgfcBPOu8BX8VyCT8T7OdjP5yFM +AQ9gPwNcB+4Bj+E8AqIFxgIew7cc5yh8EuwtxJ5EnAK2WymEa6Xu34b9CuwJ +9lOwLTkeeb/g2xTOE6W4qeEy7o7irGD/jbxawE3jWeDpmvLNavI9HPStafuO +Y78FXnYedTztTPcz57Jg/B1Oc37fhYYZnN8Kxawcv5OpbsSzSbm3knI5nSuf +8SR8EedNPMPAN5I4GPsofGtJfFmSjby0PwffXdifgb9fU1zmQH5yk7fhGhCz +TsxpHXgAn/fw3cG56DzJyb5tuQ6M1TPeyMVB215U3N2oHrA+nwv1ddkc1Ni1 +fs7FsP2/FurFNv2QzwjsDZxV0lw9LBWDdvYgd7yPQXzk/VQov96Q6rvonpDr +YBL3Gu6EpDv7nJOo+OThTFPbX9x5gqeNOw9gexE1o+2k2nQ8T6uF5v5HVK7J +taWuMpM29oG6qfd4qTuc3xHgA8BvcH7IhdftO3AvOHtN944aWWti7gP3YgJx +JpL2ajJpnt8NqY4zmTTU7UcOxuz7fd0zwH3gHGz6DnmYN2eGd5tJOzyN80LS +HDyN0huted47wFpz3qmDu7MfpeNVoV73nVflerA+5Nx0/tQ9aj0nS83eS8RY +idL5KyoWY3aSvvHOWlScDetn/aasbdpzTj2vC2nbcx8a3sF+qbr9LNUPajlU +Sgv/Rez1H2tY8b9txrXdKpQzd73nPeFesD+Vc3zk/+Oq/5eZef8Dgiem6Q== + "]], PolygonBox[CompressedData[" -1:eJwtkrkvhFEUxe/4Zkbme19hmdgaVBoliUQnGWtjiSWxRKhmCiLBX6CRiIqS -grFNhkJlbShsE0tHrLVEpRGV381VvOTce86799z7XvXYZPdEnojUcsIcz4nU -ACrByXyRwUBkKgSOiAyB0zGRHU8kw9kAT6NfhCvmzif6ZjQJ4iR3EuAu+GW4 -c+rtw3eRa4qK3BN3gjOcvahpdn2ROk6Iu3PkVuFGnfV+QH/I/Qr4ONpZNGXg -LTxkPfMw48yDelFNOXyxb73UcxzcgaaRgRup30L9W2IoKUB/B17x/znqtROP -U68Q/gP+B+6UfmdcqCJ3EjOP6lV3Vg8/TPwOt048Au4NzHsCTR84Qs0vuCJy -KWo/EueFLPcEHghMmyLXD3521usFPy/gnDMvuqMbcNY3re5Qd5kg3iZuQNMC -bnM2yzzxKnGpb7P+UrNE5/HNq77xCTiNpzOxN2zl7hG5NfgxdnYAvnJ2Nwd/ -Db50hnVHF856aK8ldrTAft6cedcZX8GbMZtd30zfrjuwv6J/oiewP6V/S3se -UusbP+ee7fwYrtm32TSnXNi3XurZA/8BaEBcuw== +1:eJwtkssvQ1EQxs+9eu89iQUre1shFixs0FKUhAX60FbaNHYSz9jaeqw8SvwR +RGLVhb+DlYVHWktptZ5p/SZjcZLvm+87M+fMTHdhfX7NNcb0c0KczsCYdgIP +kFtrTBW+5Bhz12bMO7jJ2YBX4Ab9FL4KDnHnBBwlVkEf4P4kuBWoN49+4xmT +5Vj4GPzM0ztyN4p/GX/JNyYH3yJHDX3Caq5tYldos/g30brIMQde8RRH0S8k +v9Vcafg5/n08OXk7d/bAM8R8V/8Yhkc4aef/TeBv9BQ8i/4DXiDfMPmS8KKv +b5C3SM4j6l3Dd1ztQRGewB8OaUw0+bP8/R69Tv4SvAB/hTt4f+G7jsY64H14 +LDhJ7NnTmlI7Qs4UepxTd7RGEnyMHkcfhE/Bv3x9ewLPJ/iTfMvwDLzsaY+k +VzLDKvhN/gtvwEfAB/g/HI0dyuyt1paaUjtntbceJ4b/0dNa8uYe/K7Vv8mM +ZFayQ7JLknPU1xnILKSni2hPnv5VZt6LlieWcXVG0/gbgfZOZiSzkp2R3ZGd +fAE38QSu3mmBY1Z7ITsouzhErOxoj8bhtUB3WXpyyf0/6bJe9Q== "]]}]}, { EdgeForm[], - GrayLevel[0.899], + RGBColor[0.917794, 0.920966, 0.881936], GraphicsGroupBox[{ PolygonBox[CompressedData[" -1:eJw1k81vTGEUxt+ZO9PO3DuZYcPGxs4fwJKwqVDiI/FNg0qTkpBc+m+IRdul -FdNSglpJCLrph5oiJV2IYOsP0Nl5fnmOxZvznPe+5+N5zrk7r946ebOaUjqv -k+mMyxnTuV2x/VUz/ir8Qvin3nRln+vcqdr+CLyS21+WfSz7veZ8q/Lnhaca -vhvOfE+++cj5smZ/VPeHMvvgt4qdFb6n2G/yZ4TpFzsb+HQrpaGBlE7J3qin -dFT4ob5dFx4RLvVoRN+OCF+SvagzLHxBdkPfJsVvi/Js5uY7OphSX/ePhMuK -a1EbDNdnwbdTM0+4vA/O73LzQC/6pxf0op91+cd0vqjWDvH5rbs3Leeby5zz -Q5HSmvpelV3M/W1J9m7D3BZa1u9waHhwwHmP6ywq5qPeLMl+Ct3QDw2GQodO -9MtMqYnW3HN4Q55u8AP3YnbMcCH0vUL+unO1maH0Oif/RGHNy+BOL2Oh21PF -T6OXcrwWfgB32VeDjrms2HHhP7rPCn9Hw2tVa4RW/dy8+7Gja3r3WbG9wm+Z -KXX/a43OexSzS/595dgmvFV4e1hmOlHxDvBmMna+Hz3DjW/sBn1Qg10lhlh2 -j7zE7s49t43Qdj36QEMw3Jk9us6F5vubnuUB2c2G6/5tuG4n/rsy/gd4UbNX -d2/s5kzsJ9owj3bMrYzZrRR+v1x4bvSDJthu9MYuoCm86b0ddc+0vFtnZfc1 -3cPepmvxBk2YJbyeiPs/qcOY9g== +1:eJw1UjFOw0AQXGLfHWW+QIuC+AGJqICSFyAeQJ5ADR0voU2iFFZ+AC9ISJMg +2ThEiTBIwIx2XIx2tTvemd3z0e3w+q5jZqdABnwCFbAEznOzGxQLEEbAO2rk +ZqitEefAxjxfAf1o9gLC9NDBvJvMzlB/Rl4j7vRNyYjaB/AmTc5nfgneBbUx +Y6/eAbANZvf0gv4fMEP+i3gMjQr5Irhvzuxyh+AaJ8n9V9LK4f8pc8+M9LmS +/kicHr6pmQf3yhu8mnML8alTt1ry2e6y17y17kU+d2I+17xSdxsk93QVvZ+L +X+pWrdZS8+mBb1Nop5B5/TH5ez0k/463XgBjvV9HuuRwl6/ovSY6v5HfSv8B +b/6D3gSc7+g6G92nkTfO/wfTbmZK "]], PolygonBox[CompressedData[" -1:eJwlks9LlHEQxsdd3913333BPJgXO3Tzrh7LuiT+CDPUCmO1XDooFKz4b6SC -7l8gWmr062RqGIFu2roqKR1CrFMheF299XmYw8DMPPOd78wzz/WnL+4/T5hZ -K1aLHYRmP0h0pMwexGbLkVkvcRHwDX45a7YfmP0hbqK2RO4t/gn2lXgO+4D/ -HtsF+0b9HvXH9PiXNmvPmHUlzbqxW/iN1NRTO1lj1oA/Qv0Y9aPUD+OXyZ2a -99zDX8PyYD3Ml2O+fuwe8R3iQfwClkt5j1X+G4gdU05Ykfk+0quT/29m/A/9 -1Q3+GHyLuFDjM+/gD5O7CzZO/JK3Vf6fAP9Njwvth73DX8CmwIdi73VEz0Pi -Crj4fQW+j79J7hf+EvaFeDTtvZ5RtIb/F1tOOqfb4FXqLxPOmbi7RlxX6zfQ -LW5kfBe90VtxKC4PwCvgl5Hf6goz5MGT5M6IZ6lpASuJ48B31u7KCWumpg2/ -j9yjwDUgLTyMXRviXNx/B68Ezom4WYlcK9KQtHTOnz8TXrNL7WfwRfDX2Ezo -nIk7cSyupSFpSZzuRM6huJwnXo/8jd6Kk4vQNSVtSUNXwW9nXFviWFxLg9Ki -bq7bi2NxrZ23mac18l01o2Z9kvVbH8LXJ+KNyP+W5qS9zchvpxvoFtOh31Y7 -abf/pyR+SQ== - "]]}]}, { - EdgeForm[], - GrayLevel[1.], - GraphicsGroupBox[{ - PolygonBox[CompressedData[" -1:eJwtUs0ug1EUPEp87eURaOIlxMbfK3gBIcS3YlE/iYdAF7wEq4aNhVS6qJ+0 -vALdtJI2ISm6M2NmcXLOPffcOTPzfXObe2u7hYhYQIwjfosRO2hUkWvIFUQX -/Rz5CrE/FtGejLhE3Ud/uRTxjvyD+Sb6x+h3cF5xn/ecJ842YmAsznQzYS9i -5ilpXwM4d0kczlD3cH9gDp8hHO59TuqfY2appPoC9dBznDkqCOcD9WFBMz3f -MxPzK8Sp48xZ8r7NpHFjSj3isD9blAd17G8mYVDHVibtI/TaiOuJiFaSZ7nf -Vu0t9a1Py4/TooL1Y5IG8qQ+8vk2J+qu2UPyH1lDxWfyaPibPSTds/9mXdQJ -2v/fYt7aeD/0DDny+3WMybm+9w/8dsbaW/DkFTtuoPEl6V3uf6Oc6cyauWxf -7u1FvahgvVoSF+6iLuLyHT0+sSf0Kfd/Qw//ALdMc/U= - "]], - - PolygonBox[{{2197, 629, 630, 2764}, {2295, 226, 615, - 2296}, {2365, 232, 629, 2366}, {2192, 615, 631, 2751}, { - 2761, 613, 690, 2762}, {2752, 372, 684, 2753}, {2809, 634, - 1822, 3261}, {2913, 683, 1846, 3266}, {2764, 630, 1204, - 2766}, {3261, 1822, 372, 2076}, {2751, 631, 1205, 2768}, { - 2369, 684, 226, 2368}, {3266, 1846, 613, 2190}, {2760, - 690, 232, 2759}}]}]}}, {{}, +1:eJwlkDsSQVEQRKfe8y6hwAakPmt4SuSTCUXKAliCmEykyg6UQIrQDliBT+4T +oQScNkHfmp6Znuk7xf6wM4jMrAAyoJo1e5BIYrN2MOvlzBoUjtSWiVkXXofv +6Umpn8ndiW+gjLZFLoM2Bil8Ds+b91TgT/iaeANewWdq9g7+hb+D1+RpJm3W +d02ZtyIeg17sHuRFPerd8nyC79RueW4G10grTzXiE/uukXv4ewGjyD3Kq/6g +v+gGl8RvoFtIU6K2IHcw9zCB37Uj8pxqP1NeLiA= + "]]}]}}, {{}, TagBox[ TooltipBox[{ Directive[ @@ -29643,87 +28742,13 @@ Vu0t9a1Py4/TooL1Y5IG8qQ+8vk2J+qu2UPyH1lDxWfyaPibPSTds/9mXdQJ Opacity[0.5], CapForm["Butt"]], - LineBox[{1892, 2809, 3261, 2076, 3021, 2077, 2752, 2753, - 2240, 2369, 2368, 2367, 2295, 2296, 2193, 2750, 2192, - 2751, 2768, 2767}], - - LineBox[{1978, 2913, 3266, 2190, 3167, 2191, 2761, 2762, - 2243, 2760, 2759, 2024, 2365, 2366, 2198, 2763, 2197, - 2764, 2766, 2765}]}, "0.9299999999999999`"], - Annotation[#, 0.9299999999999999, "Tooltip"]& ], - TagBox[ - TooltipBox[{ - Directive[ - GrayLevel[0], - Opacity[0.5], - CapForm["Butt"]], + LineBox[{1523, 1720, 1690, 1836, 1506, 1835, 1507, 1837, + 1611, 1834, 1505, 1783, 1784, 1785, 1687, 1787, 1786}], - LineBox[{1897, 2819, 2611, 2613, 3230, 2612, 2030, 3019, - 3020, 2807, 2808, 1891, 1979, 3015, 3016, 3014, 3018, - 3017, 2025, 2582, 2583, 2581, 3023, 3022}], - - LineBox[{1970, 2897, 2731, 2733, 3242, 2732, 2257, 3159, - 3160, 3156, 3158, 3157, 3186, 1977, 2912, 2911, 3164, - 3163, 2258, 2748, 2749, 2747, 3166, 3165}]}, "0.868`"], - Annotation[#, 0.868, "Tooltip"]& ], - TagBox[ - TooltipBox[{ - Directive[ - GrayLevel[0], - Opacity[0.5], - CapForm["Butt"]], - - LineBox[{2078, 2584, 2586, 2585, 2026, 2932, 2933, 2471, - 2470, 2587, 2261, 1898, 2821, 2820, 3033, 3032, 2244, - 3037, 3038, 3034, 3036, 3035, 2266, 1904, 2492, 2493, - 2491, 2035, 2630, 3231, 2631, 2629, 2829}], - - LineBox[{2189, 2744, 2746, 2745, 2469, 2468, 2580, 2579, - 1969, 2019, 3152, 3153, 3151, 3155, 3154, 2075, 3141, - 3142, 2887, 2888, 1956, 2010, 2716, 2563, 2564, 2444, - 2718, 2889, 3241, 2890, 2717, 3143, 2891}]}, "0.806`"], - Annotation[#, 0.806, "Tooltip"]& ], - TagBox[ - TooltipBox[{ - Directive[ - GrayLevel[0], - Opacity[0.5], - CapForm["Butt"]], - - LineBox[{2079, 2588, 2080, 2589, 2027, 2934, 2935, 2473, - 2472, 2590, 2262, 1899, 2373, 2372, 2615, 2614, 2245, - 2619, 2620, 2616, 2618, 2617, 2267, 1905, 2382, 2381, - 2633, 2632, 2249, 2637, 2638, 2634, 2636, 2635, 2270, - 1908, 2497, 2498, 2496, 2040, 2648, 2111, 2647, 2839}], - - LineBox[{2187, 2742, 2188, 2743, 2467, 2466, 2578, 2577, - 1968, 2018, 3149, 3150, 2728, 2730, 2729, 2074, 2714, - 2715, 2413, 2886, 1955, 2009, 3139, 3140, 2711, 2713, - 2712, 2069, 2697, 2698, 2409, 2873, 1950, 2006, 2696, - 2557, 2558, 2438, 2699, 2874, 3122, 2157, 3121, 2875}]}, - "0.744`"], Annotation[#, 0.744, "Tooltip"]& ], - TagBox[ - TooltipBox[{ - Directive[ - GrayLevel[0], - Opacity[0.5], - CapForm["Butt"]], - - LineBox[{1893, 2810, 3257, 2028, 2936, 2937, 2475, 2474, - 2591, 2263, 1900, 2375, 2374, 2090, 2621, 2246, 2624, - 2092, 2622, 2091, 2623, 2268, 2269, 2101, 3048, 2100, - 3049, 1982, 2832, 2831, 2830, 2102, 2272, 2271, 2389, - 2388, 2387, 2112, 2649, 2250, 2653, 2113, 2650, 2652, - 2651, 2274, 1910, 2502, 2503, 2500, 2044, 2501, 2116}], - - LineBox[{2144, 3264, 3265, 3247, 2689, 2435, 2552, 2551, - 2687, 2002, 1942, 2868, 2405, 2143, 2688, 2064, 2695, - 2154, 2694, 2153, 3118, 2005, 2255, 2156, 3119, 2155, - 3120, 2288, 2883, 2882, 2881, 2168, 2256, 2008, 2885, - 2884, 2412, 2169, 2710, 2073, 2727, 2178, 2726, 3148, - 3147, 2017, 1967, 2575, 2576, 2463, 2464, 2465, 2910}]}, - "0.6819999999999999`"], - Annotation[#, 0.6819999999999999, "Tooltip"]& ], + LineBox[{1598, 1776, 1449, 1930, 1929, 2138, 1599, 2236, + 1808, 1967, 1856, 1610, 1855, 1609, 2144, 1451, 1791, + 1790}]}, "0.8999999999999999`"], + Annotation[#, 0.8999999999999999, "Tooltip"]& ], TagBox[ TooltipBox[{ Directive[ @@ -29731,23 +28756,17 @@ Vu0t9a1Py4/TooL1Y5IG8qQ+8vk2J+qu2UPyH1lDxWfyaPibPSTds/9mXdQJ Opacity[0.5], CapForm["Butt"]], - LineBox[{1894, 2811, 3258, 2029, 2938, 2476, 2478, 2477, - 2592, 2264, 1901, 2377, 2376, 2093, 2247, 1980, 2823, - 2822, 3039, 3040, 2945, 2944, 2036, 2946, 2947, 2495, - 2494, 2639, 2273, 1909, 2841, 2840, 3058, 3057, 2251, - 3062, 3063, 3059, 3061, 3060, 2275, 1911, 2505, 2506, - 2504, 2045, 3072, 3073, 3071, 2117, 1984, 2252, 2118, - 2659, 2661, 2660, 2277, 1913, 2509, 2510, 2507, 2047, - 2508, 2121}], + LineBox[{1382, 1882, 1532, 2063, 1464, 2049, 2050, 1869, + 1870, 1380, 1432, 1522, 2046, 2048, 2047, 1458, 2037, + 2038, 1857, 1858, 1372, 1429, 1508, 2034, 2036, 2035, + 1452, 2040, 1510, 2039, 1509}], - LineBox[{2138, 3263, 2684, 3246, 2683, 2433, 2545, 2544, - 2682, 1998, 1933, 2859, 2400, 2137, 2287, 2286, 2867, - 2866, 2865, 3107, 3106, 2686, 2434, 2550, 2549, 2685, - 2001, 1941, 2864, 2863, 3105, 3104, 2063, 3116, 3117, - 3113, 3115, 3114, 2004, 1949, 2561, 2562, 2442, 2443, - 3137, 3138, 3135, 2167, 3136, 2291, 2292, 2177, 2725, - 3146, 3145, 2016, 1966, 2573, 2574, 2460, 2461, 2462, - 2909}]}, "0.62`"], Annotation[#, 0.62, "Tooltip"]& ], + LineBox[{1419, 1918, 1592, 2115, 1681, 2119, 2120, 2116, + 2118, 2117, 1709, 1424, 1928, 1927, 2132, 2131, 1684, + 2136, 2137, 2133, 2135, 2134, 1711, 1428, 1939, 1938, + 2141, 2140, 1686, 2143, 1608, 2142, 1607}]}, + "0.8099999999999999`"], + Annotation[#, 0.8099999999999999, "Tooltip"]& ], TagBox[ TooltipBox[{ Directive[ @@ -29755,45 +28774,19 @@ Vu0t9a1Py4/TooL1Y5IG8qQ+8vk2J+qu2UPyH1lDxWfyaPibPSTds/9mXdQJ Opacity[0.5], CapForm["Butt"]], - LineBox[{1895, 2812, 2813, 2479, 2481, 2480, 2593, 2265, - 2380, 2379, 2378, 2094, 2248, 1981, 1902, 2948, 2949, - 2914, 2915, 2916, 1906, 3232, 2103, 2041, 2956, 2042, - 2499, 2655, 2654, 2276, 1912, 2847, 2846, 3075, 3074, - 2253, 3079, 3080, 3076, 3078, 3077, 2278, 1914, 2850, - 2512, 2049, 2511, 2048, 3087, 2125, 3086, 2124, 3085, - 3084, 2917, 2968, 2967, 3083, 1986, 2254, 2123, 2664, - 2122, 2665, 2279, 1916, 2518, 2519, 2515, 2517, 2516, - 2672}], + LineBox[{1385, 1813, 1814, 1796, 1839, 2072, 1543, 1894, + 1895, 1693, 1467, 2066, 1535, 1883, 1884, 1885, 1435, + 1533, 2064, 1534, 2065, 1465, 2053, 1526, 1871, 1872, + 1873, 1433, 1524, 2051, 1525, 2052, 1459, 1691, 1511, + 2041, 1512, 2042, 1793, 1792, 1810, 1809, 1838}], - LineBox[{1976, 2021, 2459, 2458, 2572, 2571, 1965, 2015, - 3144, 2175, 2724, 2176, 2290, 2289, 3134, 3012, 3013, - 3010, 2068, 3011, 2151, 3111, 2152, 3112, 2437, 2436, - 2062, 2556, 2862, 1940, 2000, 2142, 3101, 3103, 3102, - 2060, 3099, 3100, 2857, 2858, 1930, 1997, 2679, 2680, - 2543, 2057, 2432, 2681, 2136, 3237, 1931, 3001, 2058, - 3000, 3003, 3002, 1932, 2284, 2285, 2134, 2396, 2853, - 2854, 1994, 2677, 2534, 2535, 2431, 2678, 3256, 1995, - 2923}]}, "0.558`"], Annotation[#, 0.558, "Tooltip"]& ], - TagBox[ - TooltipBox[{ - Directive[ - GrayLevel[0], - Opacity[0.5], - CapForm["Butt"]], - LineBox[CompressedData[" -1:eJwNz70uQwEYBuBPI6lio4oN99NE3YGB1lDBzOgvUf8SRRWzSpT2BlTZjNRk -7RV0wjM8ec/7fsnJOVPzy7liX0TMkk9G/A5G/PGYiniizsdQxLRthme9SYMf -+xbbbLLLDl1K7LPHIQf0OOaEI844JTUcUZYXnJMYiLiUNVl3e5BZ5rjXc/LK -vV8uyBHbi28flRX9mkXSess+Jqv6DXky+qt9XN7qdxSY0Nv2Sfnp/75YZ8V/ -N2xvbqueO7ZvNljTm27vbkve8Q/CQDEc - "]], - LineBox[CompressedData[" -1:eJwV0DlOQlEUgOFDQXiAm3BFJEY3YC2DSm0cC2oTwMQKcQQVHBtx6E0sKGwU -cWAffhRfzj3/a969s4vluVIqIgrcZyL+2MtGNMnlIrJ0tRENrU6iZWhp76zm -I1Z44Zl9bciyc4UnHtnV3ig7lxjwQE17pei8RJL4F3NHO5iJWLDP06dl39bv -fE/br81bbtjS++YVF/S4ZFPvmuec0uGMDf3YPKHNEYesT9/BPSd888sPa/qX -OeaDEZ9UvcU/cv41JQ== - "]]}, "0.496`"], Annotation[#, 0.496, "Tooltip"]& ], + LineBox[{1416, 1827, 1828, 1826, 1497, 2100, 1578, 2099, + 1577, 1677, 1676, 2103, 1580, 2101, 1579, 2102, 1707, + 1917, 1916, 1915, 1589, 2111, 1680, 2114, 1591, 2112, + 1590, 2113, 1708, 1925, 1924, 1923, 1596, 2129, 1682, + 1683, 1926, 2130, 1597, 2245, 2031, 1504, 2032, 2033, + 1833, 1832, 1854}]}, "0.72`"], + Annotation[#, 0.72, "Tooltip"]& ], TagBox[ TooltipBox[{ Directive[ @@ -29801,24 +28794,20 @@ OeaDEZ9UvcU/cv41JQ== Opacity[0.5], CapForm["Butt"]], - LineBox[{1917, 2280, 2281, 2129, 2671, 2128, 3090, 2330, - 2670, 1987, 3253, 2669, 2428, 2514, 2513, 2668, 2127, - 2667, 2666, 2427, 2051, 3088, 3089, 2851, 2852, 2327, - 2119, 2219, 3250, 2218, 2326, 2216, 3269, 2217, 2114, - 2212, 3249, 2211, 2321, 2209, 3268, 2210, 2104, 2316, - 2834, 2833, 3197, 3196, 2038, 2955, 2037, 3260, 2625, - 2095, 3042, 2489, 2490, 2488, 2597, 2596, 3025, 2300, - 2770, 2199, 2769, 2200, 2260, 2259, 2297}], + LineBox[{1374, 1688, 1689, 1514, 2043, 1513, 1430, 1373, + 1970, 1971, 1940, 1941, 2055, 1528, 2054, 1527, 1692, + 1466, 1537, 2230, 1536, 1436, 1383, 2210, 1538, 1468, + 1545, 2231, 1544, 1437, 1386, 2212, 1546, 1472, 1695, + 1902, 1901, 1550, 2217, 2076, 1946, 1987, 1986, 2075, + 1439, 1391, 2216, 1549, 1697, 1696, 1741}], - LineBox[{1919, 2282, 2283, 2224, 2393, 2394, 2395, 2331, - 1926, 2537, 2538, 2536, 2540, 2539, 2856, 2855, 2542, - 2054, 2541, 2055, 3209, 3210, 3208, 2227, 2337, 2135, - 2228, 3236, 1928, 2338, 1937, 3238, 2233, 2141, 2234, - 3239, 1938, 2344, 1947, 3240, 2238, 2149, 2349, 2150, - 3108, 3110, 3109, 2067, 2439, 2440, 2441, 2879, 2880, - 2565, 2566, 2452, 2453, 2013, 1963, 2359, 2908, 2907, - 2423, 2186, 2294, 2293, 2364}]}, "0.434`"], - Annotation[#, 0.434, "Tooltip"]& ], + LineBox[{1427, 1450, 1685, 1606, 2228, 1426, 1710, 2128, + 2028, 2029, 2027, 1500, 2110, 1588, 1913, 1914, 1679, + 1678, 1587, 2227, 1418, 1706, 1575, 2235, 1576, 1675, + 1574, 2226, 1415, 1705, 1568, 2234, 1569, 1673, 1674, + 1566, 2096, 1567, 2097, 1493, 2016, 2018, 2017, 1410, + 1702, 2095, 1560, 2094, 1561, 1672, 1446, 1754}]}, + "0.63`"], Annotation[#, 0.63, "Tooltip"]& ], TagBox[ TooltipBox[{ Directive[ @@ -29826,22 +28815,24 @@ OeaDEZ9UvcU/cv41JQ== Opacity[0.5], CapForm["Butt"]], - LineBox[{1915, 2328, 2329, 2221, 2797, 2220, 3207, 2325, - 2663, 1985, 3252, 2662, 2426, 2046, 2848, 3262, 2120, - 3082, 2849, 2322, 2115, 3204, 2214, 3203, 2213, 2318, - 3066, 3067, 3065, 3069, 3068, 2107, 3199, 3200, 3198, - 2206, 2313, 3052, 3053, 3051, 2105, 3054, 2096, 2311, - 2824, 2785, 2205, 2786, 2031, 2939, 2940, 2599, 2598, - 3026, 2304, 2772, 2201, 2771, 2202, 2299, 2298, 2301}], + LineBox[{1375, 1859, 2242, 1453, 1968, 1454, 1811, 1515, + 1973, 1460, 1972, 1461, 1974, 2057, 2056, 1980, 1981, + 1979, 1983, 1982, 2067, 1694, 1387, 2213, 1547, 1670, + 1438, 1388, 2214, 1548, 1473, 1988, 1474, 1989, 2078, + 2077, 1698, 1393, 1991, 1477, 1990, 1476, 1552, 1551, + 1440, 1671, 1553, 2081, 2083, 2082, 1699, 1399, 1998, + 1999, 1995, 1997, 1996, 1398, 1994, 1482, 1992, 1481, + 1993, 1397, 1817, 1480, 1815, 1479, 1816, 1555}], - LineBox[{1927, 2332, 2333, 2226, 2397, 2398, 2399, 2334, - 1934, 2547, 2548, 2546, 2059, 2799, 2231, 2798, 2230, - 2341, 2140, 3211, 2232, 2860, 2861, 1936, 2342, 1945, - 2870, 2869, 3213, 3212, 2147, 3215, 3216, 2871, 2872, - 1946, 2347, 1953, 2878, 2877, 2239, 3217, 2163, 2351, - 2165, 2708, 2166, 2709, 2072, 2450, 2451, 2012, 1962, - 2356, 2906, 2905, 2422, 2184, 2361, 2360, 2363}]}, - "0.372`"], Annotation[#, 0.372, "Tooltip"]& ], + LineBox[{1558, 1844, 2247, 1843, 1799, 1486, 1823, 1557, + 2090, 2089, 1951, 1485, 2009, 2088, 2087, 1444, 2086, + 1950, 2008, 2007, 2085, 1443, 1402, 2220, 1556, 1701, + 1700, 1407, 2222, 1559, 2093, 1952, 1489, 2012, 2092, + 2091, 1445, 1406, 2015, 1492, 1953, 1954, 1565, 2233, + 1564, 1703, 1704, 1573, 2098, 1572, 1447, 1414, 2019, + 2020, 1958, 1959, 1448, 1417, 2026, 1499, 1963, 1964, + 1965, 1423, 1831, 1503, 1803, 1804, 1805, 1937}]}, + "0.54`"], Annotation[#, 0.54, "Tooltip"]& ], TagBox[ TooltipBox[{ Directive[ @@ -29849,21 +28840,25 @@ OeaDEZ9UvcU/cv41JQ== Opacity[0.5], CapForm["Butt"]], - LineBox[{2081, 2305, 2302, 2303, 2203, 2773, 2775, 2774, - 2307, 3027, 2600, 2601, 2942, 2941, 2032, 2788, 2789, - 2787, 2825, 2826, 2312, 2836, 2835, 2383, 2106, 2640, - 2097, 2793, 2207, 2384, 2385, 2386, 2317, 2845, 2844, - 3070, 2656, 2843, 3233, 2842, 2043, 2425, 2657, 3244, - 1983, 2658, 2320, 3205, 3206, 2796, 2215, 2324, 2323, - 2392, 2391}], + LineBox[{1516, 1812, 1455, 1794, 1795, 1431, 1376, 1975, + 1976, 1942, 1943, 1434, 1381, 1721, 1384, 2211, 1622, + 1726, 1725, 2068, 2069, 1985, 1469, 1984, 1470, 1628, + 2215, 1389, 1730, 1731, 1633, 2246, 1632, 1735, 1634, + 2239, 1635, 1737, 1736, 1394, 2218, 1554, 1478, 1948, + 2168, 2169, 2171, 2170, 1742, 1743, 1638, 2219, 1395, + 1744, 1400, 2001, 2002, 2000, 2004, 2003, 1401, 1819, + 1820, 1818, 1483, 1821, 1908}], - LineBox[{2185, 2362, 2357, 2358, 2182, 2421, 2904, 1974, - 2354, 1961, 2011, 2449, 2448, 2071, 2706, 2707, 2705, - 2164, 3133, 2348, 2703, 2161, 2702, 2162, 2704, 2148, - 2802, 2237, 2801, 2236, 3214, 2343, 2691, 2146, 2690, - 2693, 2692, 2061, 2553, 2555, 2554, 1943, 2339, 1935, - 2402, 2401, 2229, 2336, 2335, 2404, 2403}]}, "0.31`"], - Annotation[#, 0.31, "Tooltip"]& ], + LineBox[{1605, 1830, 1502, 2030, 1829, 1850, 1849, 2127, + 2024, 2025, 2021, 2023, 2022, 2109, 1770, 2197, 2198, + 2196, 1661, 1764, 1763, 1413, 1957, 1956, 1955, 1496, + 1563, 2232, 1562, 1758, 1759, 1649, 2223, 1409, 1753, + 1405, 2221, 1645, 1752, 1751, 1643, 2240, 1644, 1488, + 2010, 1487, 2011, 1404, 1746, 1747, 1640, 2174, 1639, + 1745, 2173, 1442, 2172, 1949, 2006, 2005, 2084, 1441, + 2241, 1842, 1798, 1484, 1822, 1909}]}, + "0.44999999999999996`"], + Annotation[#, 0.44999999999999996`, "Tooltip"]& ], TagBox[ TooltipBox[{ Directive[ @@ -29871,18 +28866,21 @@ OeaDEZ9UvcU/cv41JQ== Opacity[0.5], CapForm["Butt"]], - LineBox[{2083, 2306, 2082, 2779, 2204, 2776, 2778, 2777, - 2308, 3028, 3029, 2603, 3259, 2033, 2943, 2034, 3192, - 3193, 2827, 2828, 1903, 2314, 1907, 2838, 2837, 3056, - 3055, 2039, 2424, 2641, 2642, 2644, 2643, 2315, 3201, - 3202, 2794, 2208, 2795, 2110, 2319, 2390}], + LineBox[{1396, 1740, 1392, 1907, 1906, 1637, 1739, 1738, + 2167, 1636, 2166, 2165, 1947, 1475, 2079, 2080, 1903, + 1904, 1905, 1734, 1898, 1897, 1896, 1631, 1733, 1732, + 1629, 2238, 1630, 1539, 1625, 2237, 1624, 1727, 1728, + 1623, 1886, 1887, 1888, 1722, 1876, 1875, 1874, 2157, + 2156, 1463, 1977, 1462, 1978, 1517, 2044, 1713, 1714, + 1613, 1860, 1861, 1377, 1712, 1781}], - LineBox[{2183, 2355, 2174, 2740, 2180, 2419, 2902, 1973, - 2353, 1960, 2896, 2447, 2446, 2445, 2070, 3131, 3132, - 3128, 3130, 3129, 2346, 3124, 3125, 3123, 3127, 3126, - 2066, 2559, 2065, 2560, 2876, 1951, 2345, 1944, 2407, - 2406, 2235, 2800, 2139, 2340, 2408}]}, "0.248`"], - Annotation[#, 0.248, "Tooltip"]& ], + LineBox[{1403, 1748, 1641, 2175, 1642, 1750, 1749, 1408, + 2014, 1490, 2013, 1491, 2178, 2179, 2176, 1646, 2177, + 1755, 1647, 2180, 1648, 1757, 1756, 1411, 2224, 1652, + 1571, 1653, 2225, 1412, 1761, 1762, 1660, 2194, 1659, + 2195, 1769, 1586, 2106, 2108, 2107, 1498, 1960, 1961, + 1962, 1422, 1774, 1775, 1665, 2207, 2209, 2208, 1778, + 1779}]}, "0.36`"], Annotation[#, 0.36, "Tooltip"]& ], TagBox[ TooltipBox[{ Directive[ @@ -29890,16 +28888,20 @@ OeaDEZ9UvcU/cv41JQ== Opacity[0.5], CapForm["Butt"]], - LineBox[{2108, 2645, 2109, 2646, 2099, 2791, 2792, 2790, - 3195, 3194, 2310, 3044, 3045, 3043, 3047, 3046, 2087, - 3190, 3191, 3187, 3189, 3188, 2309, 2781, 2782, 2780, - 2784, 2783, 2084, 2602, 2085, 2370, 2816}], + LineBox[{1378, 1862, 2243, 1456, 1969, 1457, 2145, 2146, + 1863, 1864, 1379, 1715, 1879, 1878, 1877, 1618, 2158, + 1529, 2159, 1619, 1880, 1881, 1724, 1530, 1723, 1890, + 1889, 1626, 2163, 1540, 2164, 1627, 1891, 1892, 1893, + 1729, 1390, 1900, 1899, 2074, 2073, 1471, 1797, 1840, + 2244, 1841, 1945, 1944}], - LineBox[{2159, 2700, 2160, 2701, 2145, 2803, 2804, 2410, - 2411, 1952, 2350, 1957, 2893, 2892, 3219, 3218, 2170, - 3220, 3221, 2894, 2895, 1959, 2352, 1972, 2900, 2417, - 2737, 2736, 2173, 2741, 2181, 2420, 2903}]}, "0.186`"], - Annotation[#, 0.186, "Tooltip"]& ], + LineBox[{1425, 1936, 1802, 1801, 1800, 1501, 2125, 2126, + 2122, 2124, 2123, 1773, 2204, 1662, 2203, 1663, 2205, + 1585, 2193, 1658, 2192, 1657, 1768, 1584, 1767, 1655, + 2190, 1656, 2191, 1570, 2188, 1651, 2186, 1650, 2187, + 1760, 2182, 2183, 2181, 2185, 2184, 1495, 1824, 1494, + 1825, 1846, 1845}]}, "0.27`"], + Annotation[#, 0.27, "Tooltip"]& ], TagBox[ TooltipBox[{ Directive[ @@ -29907,14 +28909,16 @@ OeaDEZ9UvcU/cv41JQ== Opacity[0.5], CapForm["Butt"]], - LineBox[{2098, 2626, 2628, 2627, 2089, 2755, 2756, 2754, - 2806, 2805, 3223, 2607, 2608, 2606, 2610, 2609, 2086, - 2604, 2605, 2371, 2817}], + LineBox[{1541, 2070, 1542, 2071, 1531, 2162, 1621, 2160, + 1620, 2161, 1719, 2059, 2060, 2058, 2062, 2061, 1521, + 2154, 2155, 2151, 2153, 2152, 1717, 2149, 1615, 2148, + 1616, 2150, 1518, 2147, 1614, 1865, 1866}], - LineBox[{2171, 2721, 2723, 2722, 2158, 2719, 2720, 2414, - 2415, 1958, 2758, 1971, 3243, 2757, 2416, 2735, 2734, - 2172, 2738, 2739, 2418, 2901}]}, "0.124`"], - Annotation[#, 0.124, "Tooltip"]& ], + LineBox[{1582, 2104, 1583, 2105, 1581, 2189, 1654, 1910, + 1911, 1912, 1765, 1420, 1920, 1919, 2200, 2199, 1593, + 2201, 2202, 1921, 1922, 1421, 1771, 1933, 1932, 1931, + 1664, 2206, 1602, 2139, 1604, 1934, 1935}]}, "0.18`"], + Annotation[#, 0.18, "Tooltip"]& ], TagBox[ TooltipBox[{ Directive[ @@ -29922,14 +28926,14 @@ OeaDEZ9UvcU/cv41JQ== Opacity[0.5], CapForm["Butt"]], - LineBox[{2241, 3224, 3226, 3225, 2194, 3174, 3175, 3173, - 2195, 2022, 3169, 3170, 3168, 3172, 3171, 2088, 3030, - 3031, 2818, 3267, 3248}], + LineBox[{1519, 1718, 1716, 1868, 1867, 2045, 1520, 2229, + 1806, 1807, 1780, 1612, 1782, 1666, 1667, 1617, 1669, + 1668}], - LineBox[{2242, 3227, 3229, 3228, 2196, 3184, 3185, 3181, - 3183, 3182, 2023, 3177, 3178, 3176, 3180, 3179, 2179, - 3161, 3162, 2898, 3222, 2899}]}, "0.062`"], - Annotation[#, 0.062, "Tooltip"]& ], {}, {}}}], {}}, { + LineBox[{1603, 1777, 1772, 1852, 1600, 1851, 1601, 1853, + 1966, 1848, 1595, 1847, 1594, 2121, 1766, 1789, 1788}]}, + "0.09`"], + Annotation[#, 0.09, "Tooltip"]& ], {}, {}}}], {}}, { DisplayFunction -> Identity, DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0., 0.}, FrameTicks -> {{Automatic, Automatic}, {Automatic, Automatic}}, @@ -29960,7 +28964,7 @@ OeaDEZ9UvcU/cv41JQ== "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, - "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + "GridLinesInFront" -> True}, PlotRange -> {All, All}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { @@ -30564,7 +29568,9 @@ RoPcfUYLOfqlqP8H58F5MQ6M62PPzy6FlClpx0ftO5YolGxcGCfk0MO4MM5/ AG9PLFw= "], {{{ EdgeForm[], - GrayLevel[0.], + RGBColor[ + 0.10093051529449441`, 0.10109035435952797`, + 0.10125248712590809`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNlk1o3FUUxV8yaZKZSeY/M9RlBDUYW3WjtZmCFXWjghXaheA2SVGwVkzX @@ -30613,7 +29619,8 @@ HfgufEfj5L8jphlqh77LNNVb9m+rmd5OvSRt+BvaVNHbcU1vIfcfl2aCXg== "]]}]}, { EdgeForm[], - GrayLevel[0.13470488499058986`], + RGBColor[ + 0.18461529999999998`, 0.19915007499999998`, 0.213893425], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmHuMVdUVxs/MvXce9zLn3HMH7B+ttpUq8wAGBnwwzNhWW0WQhyiglLYC @@ -30708,7 +29715,7 @@ rHbtM8i1yD+kjdebFGJbE1rv/tfTacOgsKj/IHW+YVRYFWa+ItbvgdVWO1q7 utO3XNRj6rUlvs1m7TDtsn8B4osoaA== "]]}]}, { EdgeForm[], - GrayLevel[0.22550669000253787`], + RGBColor[0.238882125, 0.262018125, 0.284081125], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmXmQVNUVxt9Md083M9Ov3xtXIBFM0KiouER2QUQttyAaE0UwGgVcUEYY @@ -30852,7 +29859,7 @@ Gqta2zfybKmaodqhGU2zmmbyHcjT1LVGOavcbZO6l+lOp6f+77G11LGs/yCq PolygonBox[{{4579, 1093, 2691, 3292, 4693}, {4690, 3273, 2677, 825, 4580}}]}]}, { EdgeForm[], - GrayLevel[0.3163084950144859], + RGBColor[0.287576175, 0.316482975, 0.33934157499999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmXu0VdV1xs+9557L4d7LPntfUBHSRptEg0GUhyQRtSnWmPBQBI1GMQo+ @@ -30998,7 +30005,8 @@ nn9D5B1Fu4r+E/UFb5p4d9R/iKvAb4n8llTTFfAvS879N4BuBP4fP47Wcg== 3283, 3153, 4687}, {4685, 3162, 3078, 1477, 4428}, {4623, 2244, 3159, 2695, 4170}}]}]}, { EdgeForm[], - GrayLevel[0.4071103000264339], + RGBColor[ + 0.33812412499999994`, 0.3722559, 0.39544264999999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxVmXmsVdUVxs99w733TeeecwVaFZDRIYDVqoC1CDI3TAKC4oDV0kiaCtpY @@ -31125,7 +30133,8 @@ ZbXTjPNtJ9RuqBz6Gft7fKtlvekP4Nd9s62YboDv8iwXVEOqpfvitktoJ9Nu tiCwWaMYDwY24zTr1K/nKtcDmyXyuRr8XyOglCU= "]]}]}, { EdgeForm[], - GrayLevel[0.49791210503838196`], + RGBColor[ + 0.42018837499999995`, 0.4502661, 0.46583434999999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmgmUluV1x9+P2b5tvmVEBiFRWXJiwAUFYhoVSKNpTKqiYTMGUIwsplEW @@ -31306,7 +30315,9 @@ vdm2yL27ejTFBMUG1VAD8v430Cr2W9M/AvXWuyL3euqx14SuyVWLa81t8Ovg f6BaGdie9h3T3dKY/vXdF5mnf377su79lCOUK/4HoU6vrA== "]]}]}, { EdgeForm[], - GrayLevel[0.5887139100503299], + RGBColor[ + 0.5022526249999999, 0.5282762999999999, 0.5362260499999999], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmHuwllUVxt/vcr7vnO/yvu93kptc5MCR42XSsUwctREFTS01LwGa3AXU @@ -31417,7 +30428,8 @@ se/qH2Je7J3X7gtj9+KvFX8rgmvWB92KorFeZ9Lp7dkq745q8D93H1Fw PolygonBox[{{4686, 3176, 2781, 1480, 4432}, {4624, 1817, 3196, 3194, 4689}}]}]}, { EdgeForm[], - GrayLevel[0.679515715062278], + RGBColor[0.6050727499999999, 0.6224715, 0.6192121249999999], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmGtslmcZx5++79vT+/Z9nufltCCsLYnFooKR1gQ/aNwYYOmEHTzgBFsW @@ -31500,7 +30512,9 @@ G4sbY6lnRRzRrlmSmjvaOUvwP5B6lsWR9ZlnSTtIu0g9VC+1M4+gP8G/eskz PolygonBox[{{3913, 2688, 3280, 2382, 4668}, {4636, 2325, 3278, 2685, 3904}}]}]}, { EdgeForm[], - GrayLevel[0.7703175200742259], + RGBColor[ + 0.7120440499999998, 0.7199036999999998, 0.7047170749999998], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJw1VktsVVUUva993/a++2GCH0goDHQCOnGgDYqiExyIfFSCaZMiYmssGEwc @@ -31564,7 +30578,9 @@ Rtp9x3gs+W4hdwb60zLUW4V9mNGNL4l127NC7arfuGPq2PqNDMK3RNoV/3M/ 5/Rn+t/pN1BHvN+xcvvMfsH/A5S/zu8= "]]}]}, { EdgeForm[], - GrayLevel[0.8611193250861741], + RGBColor[ + 0.7987852499999999, 0.8026662999999999, 0.7775599249999999], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJw1VktslFUYvVPmPfP/88/vThMNtkxjF7qiia8FPioSVy4UCxolqNFOqSkl @@ -31617,7 +30633,8 @@ KY6Ja7rBLPteS5zr4rC4vB7fJvpP4htOnDPijjALe77g3LsD3t7EOS1uiwMj PolygonBox[{{4605, 2216, 3188, 2723, 4497}, {4498, 2724, 3189, 2217, 4607}}]}]}, { EdgeForm[], - GrayLevel[0.9999999999999999], + RGBColor[ + 0.9117650333076903, 0.9149729536818911, 0.876648322584272], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJwtlL1PVEEUxS8Lebz32JW3Y+tiLO0gWkkiQQXdAgsSNLHE+FloNKCJBCiM @@ -31884,7 +30901,7 @@ z488xggFe8nzy1zORyxhHQnm9IFnUvMpKvgHtAApPA== "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, - "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + "GridLinesInFront" -> True}, PlotRange -> {All, All}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { @@ -32504,7 +31521,9 @@ oh/cF+7zSWqoX9zfd+nHPRUdiyzVEuVFee/7aVL1i3HjPnCfuO//AXYabGw= "], {{{ EdgeForm[], - GrayLevel[0.], + RGBColor[ + 0.1046415249556618, 0.1054388219089011, + 0.10624756012710816`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJw1U89LVGEUverI+N7Xe9ODalMgiZAuEowgW/Rr1aJiRndlJrhSJhLEXW2y @@ -32535,7 +31554,8 @@ szfWt9WZSWf/gL59HL/eGYf2VnvGPeZbTmeM4C/79m/p3aZjdvs86tPYf8eM V6c= "]]}]}, { EdgeForm[], - GrayLevel[0.12873757694189414`], + RGBColor[ + 0.18461529999999998`, 0.19915007499999998`, 0.213893425], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJw1lktMnVUUhQ9QuFz++/gvDtQ4UJOmdWRBUBNxUBkXS+nIBxSMtkVqcWR0 @@ -32588,7 +31608,7 @@ z9V33nffc1xAt53627OK4TP8B2xKmaA= PolygonBox[{{4621, 2511, 2987, 3436, 3797}, {3813, 3206, 3205, 2387, 4597}}]}]}, { EdgeForm[], - GrayLevel[0.2195437500752926], + RGBColor[0.238882125, 0.262018125, 0.284081125], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFl0ls1VUUxm/bxxvaN5WwxEhDSAAXGKSFEgq0bEwwYBlcmTDoFkqioQU2 @@ -32654,7 +31674,7 @@ TtG3TD06mXhWtHPavQ8y91o7ol05k7nXuhGfw3cVfaN0m1TD05l7q5q8D59m 7q1qth/sXjDai54F7dhbRe+wdlcz9x/ai9tK "]]}]}, { EdgeForm[], - GrayLevel[0.31034992320869104`], + RGBColor[0.287576175, 0.316482975, 0.33934157499999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFV1lsVVUUPX3tGzq8e98l0sQJBSpDq3FkKoVQeJhojEFMHIhGKZQPwCJj @@ -32730,7 +31750,8 @@ ozeq96n/S9RD9fJ8wdy6s7q77wB+qdgH PolygonBox[{{4389, 2686, 3137, 2195, 4485}, {4487, 2196, 3140, 2688, 4390}}]}]}, { EdgeForm[], - GrayLevel[0.4011560963420895], + RGBColor[ + 0.33812412499999994`, 0.3722559, 0.39544264999999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFWFtwVdUZ3uecfa7k7H12OlNosRVGSayCDqR1KJckwx2MY63y0pm+2Ito @@ -32832,11 +31853,11 @@ Y0vmNHGZvqH+3NnIojmiD7HfFc0x4hZxrrillfihOXPM4YJnRrOitY6y7zKt 4NbE3CaOOAI+gDwezHkHwa+WHauZ1+xrT+0tjuhV9jepb1N3dAX7GvKvA69H ZpfNIeISrTWUvSabetCJsy6qNKeJy8RhzQVznrhOPfkf0CRXRA== "]], - PolygonBox[{{4095, 1304, 2669, 3223, 4636}, {4635, 3382, 2667, 1302, 4093}}]}]}, { EdgeForm[], - GrayLevel[0.49196226947548793`], + RGBColor[ + 0.42018837499999995`, 0.4502661, 0.46583434999999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmgn0VdV1xu/7v/9w33Tfe4g4YxCDEziAU7RGQGQUnEDTOg8IJFhtbVdX @@ -33016,7 +32037,9 @@ XKAc9zB8bWRL1YMGflOqHYoi1xKqIVT7JSO/RdWA/wdeHp/+ PolygonBox[{{4533, 2825, 2646, 2262, 4535}, {4537, 2263, 3273, 2683, 4388}}]}]}, { EdgeForm[], - GrayLevel[0.5827684426088864], + RGBColor[ + 0.5022526249999999, 0.5282762999999999, 0.5362260499999999], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmXmQVcUVxu+bmTfvwfDeu3dgENzRsIjGoQQEFKMCKshi4sYoiIIGiCDI @@ -33149,7 +32172,8 @@ VOy/v2rmUfafnvhu+qPqr/of9nKrRA== PolygonBox[{{4491, 1135, 3403, 3220, 4634}, {4633, 3198, 2651, 965, 4490}}]}]}, { EdgeForm[], - GrayLevel[0.6735746157422849], + RGBColor[0.6050727499999999, 0.6224715, 0.6192121249999999], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmnu0VVUVxve5557HfZyz94aBPFIzTCs1FRyNUYL05GEpIFcDLj6GVqZG @@ -33299,7 +32323,9 @@ Rq4FynHlekPiWNAMqFlQMafY0wx+mf41UueKbHZXbEE1OddM1c7FkWNR/wj1 6DYn/ncTpgfyc+iLOdfEqsT/WPrX0j/czNTfVN9Wb7gQ+T+8hvZ4 "]]}]}, { EdgeForm[], - GrayLevel[0.7643807888756833], + RGBColor[ + 0.7120440499999998, 0.7199036999999998, 0.7047170749999998], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmXu01mMWx3/nfd/znvec0/u7uEwJS5gZRDIjy20tzGLGnZhIKKcaxhpE @@ -33434,7 +32460,9 @@ kd488/VW1HzLekbdplmbOBfVRLVRz6n3ZDM58TfoW5TDSOyvwX8u7/e2aqQ3 hd4WugP3wxfF/i8kDL4F/j+Ue+yR "]]}]}, { EdgeForm[], - GrayLevel[0.8551869620090818], + RGBColor[ + 0.7987852499999999, 0.8026662999999999, 0.7775599249999999], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmG2MVdUVhs8M987cuTP3nHsGaYUZqEZqQm0tpAbU2Ng2bVMlsUATQEas @@ -33532,7 +32560,9 @@ s04xKJaNkXerduom8H8u7Dws PolygonBox[{{4628, 3249, 2716, 915, 4361}, {4364, 1594, 2854, 3153, 4632}, {4574, 1142, 3128, 3126, 4629}}]}]}, { EdgeForm[], - GrayLevel[1.], + RGBColor[ + 0.9165853588987618, 0.9197645599404737, 0.8808759668996531], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNVc9PXGUUvTMdYOZ15r15BdGFEKHiQkx3TUypsq9uxI0/WhtNVUoTTSNo @@ -33810,7 +32840,7 @@ Owf0nPvU9e5x6PuIGiVvOpEb8lgWzC2lf3JRnspvvphaMJf2pl45kJfyg22G "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, - "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + "GridLinesInFront" -> True}, PlotRange -> {All, All}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { @@ -34507,7 +33537,9 @@ JJaKt9q29WDI0vugrV4dllr6JJ3n3D+xlY42Y2uSIXWtiDZQyoJN9L1P0+zo MI3a/2Ntay1Oztr+LWGYCdFnTkJPvuTi/wCTG0mZ "], {{{ EdgeForm[], - GrayLevel[8.673617379884035*^-19], + RGBColor[ + 0.10471004098684411`, 0.10551910726663698`, + 0.10633978370202618`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFUjtLg0EQ3HwmJl/uywMCKrEShURQ7PNQKxGsfDSWakQr7SxtBatga+Uv @@ -34532,7 +33564,8 @@ AVXqm1CzNmPt7jP3McN0QZl5dh+p3vIZirz/jPdOUbu5Rzc78PvT9MM/SpSJ Z+EzxSX9N+7xjtdLopl8lnaobB5i1Z6RfwP+LXgmX/B/AW7lQyo= "]]}]}, { EdgeForm[], - GrayLevel[0.12864147175702784`], + RGBColor[ + 0.18461529999999998`, 0.19915007499999998`, 0.213893425], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFlU1slVUQhk/vT3t7v/vdW+MPoptWDIWyKNGo0aCLYqgXFkaTYkLiQtGF @@ -34583,7 +33616,7 @@ tnwGq0vald9UG/awotvxmeXAjYp242/O316jLC6v2Wv/B94mjiY= PolygonBox[{{3396, 2978, 2672, 2263, 4146}, {3395, 710, 2350, 2406, 3394}}]}]}, { EdgeForm[], - GrayLevel[0.2194576613261465], + RGBColor[0.238882125, 0.262018125, 0.284081125], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFlltoXVUQhlfOOTvnln1O0LRVn6yQNJoUa6oP0rRWjZj04kOLGhAUNNS0 @@ -34640,7 +33673,7 @@ u5L1t9cfVYG8OuUy/YENipX23ddOajf/A8bOpbA= "]], PolygonBox[{{3313, 855, 2410, 2716, 4149}}]}]}, { EdgeForm[], - GrayLevel[0.31027385089526516`], + RGBColor[0.287576175, 0.316482975, 0.33934157499999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNVllsVVUUPa/v9fa99t53O9Fi2g/RGmPUGj40ISZtNQzK1AFCHPpFMAVM @@ -34703,7 +33736,8 @@ RA== PolygonBox[{{4132, 2168, 2877, 2587, 4124}, {4054, 2541, 2388, 2053, 4066}}]}]}, { EdgeForm[], - GrayLevel[0.4010900404643838], + RGBColor[ + 0.33812412499999994`, 0.3722559, 0.39544264999999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmG2QlWUZx5+zy9mzyz7nPGeJNUAwkNImq8miYpmwsZoVBZmJsJRWFh3I @@ -34803,7 +33837,8 @@ aSfOSFqNVVvlmJO2XmonZ5PbMyl7I/Q26E5NCeuBaq8ZLwcvTtlu1bvTG9ku PolygonBox[{{4155, 2963, 2432, 1190, 3694}, {3692, 1188, 2430, 2722, 4148}}]}]}, { EdgeForm[], - GrayLevel[0.4919062300335025], + RGBColor[ + 0.42018837499999995`, 0.4502661, 0.46583434999999995`], GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmQmQldWVx7/X3a/f99bvWaMRI4iWNWbGGFBEUFtFkGaTLYkTtoBA1HJh @@ -34974,7 +34009,9 @@ XENUO1STlfOV++WzRewz1Fmqx76G//8BZ0OfGA== PolygonBox[{{4067, 2550, 2392, 2099, 4110}, {4164, 2412, 857, 1189, 4148}, {4108, 2098, 2826, 2437, 3942}}]}]}, { EdgeForm[], - GrayLevel[0.5827224196026211], + RGBColor[ + 0.5022526249999999, 0.5282762999999999, 0.5362260499999999], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxNmHuMVdUVxs99zL0zcO45o0YbHxWhvhhHbdNEUNt/ahTQKjgzgESpisGa @@ -35088,7 +34125,8 @@ NfYZ6CzU429D/z/NiHIH "]], PolygonBox[{{4154, 2901, 2420, 998, 4061}}]}]}, { EdgeForm[], - GrayLevel[0.6735386091717398], + RGBColor[0.6050727499999999, 0.6224715, 0.6192121249999999], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJw9mXm0ntMVxr/cfO/7fffed7jiDxmQSnJDgqISglaCxNyGoAvVqpk0pDJw @@ -35223,7 +34261,9 @@ xP8R9F9B/wm+iLzDaJeRD/JFOavcVQ12j53Tym3tYF9rn8m5N2km94f3Pw/x p7I= "]]}]}, { EdgeForm[], - GrayLevel[0.7643547987408583], + RGBColor[ + 0.7120440499999998, 0.7199036999999998, 0.7047170749999998], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmXmQldURxd+bt83yLSBoTImASlwCAzIYiMoqKkEhFVEUZ3BLAqJRExUY @@ -35349,7 +34389,9 @@ jIvMk0xvzg7qt9RvUe0w7bKDhe5p9bLecBcT2+oNc0nzOfHZVZPPYP8/7TWT lw== "]]}]}, { EdgeForm[], - GrayLevel[0.8551709883099771], + RGBColor[ + 0.7987852499999999, 0.8026662999999999, 0.7775599249999999], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJxFmG1sluUVx++nfZ67Ldwv9T1sg+zBF6bIxkrrIuI21H2YCSVB2RdbZIAx @@ -35438,7 +34480,9 @@ vRuU0yeaFeTrC3ynr8N3Jd6d+taZ+I3WW62Zb448I5oVvSHrkC2N/NZrJ70V PolygonBox[{{3966, 1039, 2839, 2760, 4150}, {4156, 2939, 2446, 1584, 3969}}]}]}, { EdgeForm[], - GrayLevel[1.], + RGBColor[ + 0.9165853588987618, 0.9197645599404737, 0.8808759668996531], + GraphicsGroupBox[{ PolygonBox[CompressedData[" 1:eJwtVU1IlFEUfeOo44zzfZ+aiYajWQQhBCn+BLUoFdpGRMtRxzZp9g+1qTQq @@ -35713,7 +34757,7 @@ pUPTnp72qSXvO/8k/4+ea13XtaEXye/z3XN0nHfs3GXBeYV/6Lo48Q== "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, - "GridLinesInFront" -> True}, PlotRange -> {{0, 1}, {0, 1}}, + "GridLinesInFront" -> True}, PlotRange -> {All, All}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { @@ -35756,9 +34800,10 @@ pUPTnp72qSXvO/8k/4+ea13XtaEXye/z3XN0nHfs3GXBeYV/6Lo48Q== GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], "Grid"]], "Output", CellChangeTimes->{3.887951255324614*^9, 3.887951825298805*^9, - 3.887953855065783*^9, 3.887967080889078*^9}, + 3.887953855065783*^9, 3.887967080889078*^9, 3.8880570693808804`*^9, + 3.888060636690113*^9}, CellLabel-> - "Out[735]=",ExpressionUUID->"9fa0f4d7-295f-46f5-ba72-ee0eb961aece"] + "Out[1044]=",ExpressionUUID->"1b3c9668-5c40-4ae6-b1fa-030505706f96"] }, Open ]], Cell[CellGroupData[{ @@ -35771,16 +34816,17 @@ png\>\"", ",", "logicGates"}], "]"}]], "Input", CellChangeTimes->{{3.887892560278453*^9, 3.8878925662444572`*^9}, { 3.887967084346002*^9, 3.8879670873428392`*^9}}, CellLabel-> - "In[737]:=",ExpressionUUID->"ee322603-0e21-4680-8326-d8847371a35b"], + "In[1045]:=",ExpressionUUID->"ee322603-0e21-4680-8326-d8847371a35b"], Cell[BoxData["\<\"/home/wright/coding/discrete-differentiable-networks/docs/\ logic-gates.png\"\>"], "Output", CellChangeTimes->{ 3.887892567545732*^9, 3.8878926548807163`*^9, 3.887949873360951*^9, 3.887950416727911*^9, 3.887951264859829*^9, 3.88795183191717*^9, - 3.887953858196857*^9, {3.887967085558621*^9, 3.8879670886597958`*^9}}, + 3.887953858196857*^9, {3.887967085558621*^9, 3.8879670886597958`*^9}, + 3.8880570867574863`*^9, 3.888060639563236*^9}, CellLabel-> - "Out[737]=",ExpressionUUID->"e081bf19-2164-4c30-95bd-ef3945ad846a"] + "Out[1045]=",ExpressionUUID->"9e3e1c96-3585-457d-920a-4534e0737657"] }, Open ]], Cell[CellGroupData[{ @@ -35933,7 +34979,8 @@ Cell[BoxData[ "]"}]}]], "Input", CellChangeTimes->{{3.8872633204317017`*^9, 3.887263353136869*^9}, { 3.887263500486972*^9, 3.887263508291638*^9}}, - CellLabel->"In[86]:=",ExpressionUUID->"437e01ba-cd55-49ca-a556-5d88d6fc10bb"], + CellLabel-> + "In[741]:=",ExpressionUUID->"437e01ba-cd55-49ca-a556-5d88d6fc10bb"], Cell[BoxData[ RowBox[{ @@ -35945,7 +34992,8 @@ Cell[BoxData[ RowBox[{"Length", "[", "x", "]"}], "-", "1"}], ")"}], "/", "2"}], "]"}]}]], "Input", CellChangeTimes->{{3.8872683865568953`*^9, 3.887268412416937*^9}}, - CellLabel->"In[87]:=",ExpressionUUID->"b7a31ca1-15c0-40a5-9f4e-43284320dd04"], + CellLabel-> + "In[742]:=",ExpressionUUID->"b7a31ca1-15c0-40a5-9f4e-43284320dd04"], Cell[CellGroupData[{ @@ -35966,7 +35014,8 @@ Cell[BoxData[ RowBox[{"1", ",", "2", ",", "3", ",", "4", ",", "5", ",", "6"}], "}"}]}], "}"}]}]], "Input", CellChangeTimes->{{3.887263712126041*^9, 3.887263761220574*^9}}, - CellLabel->"In[88]:=",ExpressionUUID->"4f3dcd3c-2373-40af-a787-50388713cf17"], + CellLabel-> + "In[743]:=",ExpressionUUID->"4f3dcd3c-2373-40af-a787-50388713cf17"], Cell[BoxData[ RowBox[{"{", @@ -35974,8 +35023,9 @@ Cell[BoxData[ "}"}]], "Output", CellChangeTimes->{{3.8872637233346653`*^9, 3.887263761741906*^9}, { 3.887268333016362*^9, 3.8872683416334677`*^9}, {3.887268391350646*^9, - 3.887268419990883*^9}, 3.887868668676833*^9}, - CellLabel->"Out[88]=",ExpressionUUID->"e4057dd4-a9e2-4aaa-8ac6-b08504a7724c"] + 3.887268419990883*^9}, 3.887868668676833*^9, 3.888044834866659*^9}, + CellLabel-> + "Out[743]=",ExpressionUUID->"a8038646-1c43-4eec-ace2-e78a8be8c543"] }, Open ]], Cell[BoxData[ @@ -35993,7 +35043,8 @@ Cell[BoxData[ CellChangeTimes->{{3.887263291499085*^9, 3.887263307407421*^9}, { 3.887263568197703*^9, 3.8872636169996157`*^9}, {3.8872638303811617`*^9, 3.887263830604273*^9}, {3.8872650075640163`*^9, 3.887265007823615*^9}}, - CellLabel->"In[90]:=",ExpressionUUID->"bb6986dd-8362-42aa-aad5-333d0c1082e6"], + CellLabel-> + "In[744]:=",ExpressionUUID->"bb6986dd-8362-42aa-aad5-333d0c1082e6"], Cell[CellGroupData[{ @@ -36019,7 +35070,8 @@ Cell[BoxData[ "}"}]}], "}"}]}]], "Input", CellChangeTimes->{{3.887263774830868*^9, 3.887263791340356*^9}, { 3.8872638399072237`*^9, 3.8872639323142357`*^9}}, - CellLabel->"In[91]:=",ExpressionUUID->"7db43080-9ab1-4290-93db-c9b56436514c"], + CellLabel-> + "In[745]:=",ExpressionUUID->"7db43080-9ab1-4290-93db-c9b56436514c"], Cell[BoxData[ RowBox[{"{", @@ -36027,8 +35079,10 @@ Cell[BoxData[ "}"}]], "Output", CellChangeTimes->{ 3.887263791743215*^9, {3.887263831841167*^9, 3.8872639027569838`*^9}, - 3.8872639329782333`*^9, 3.88726500914787*^9, 3.887868674805337*^9}, - CellLabel->"Out[91]=",ExpressionUUID->"9044b04f-0dd0-464d-a640-547c7893b1b8"] + 3.8872639329782333`*^9, 3.88726500914787*^9, 3.887868674805337*^9, + 3.888044836317465*^9}, + CellLabel-> + "Out[745]=",ExpressionUUID->"c47d160e-5c90-438f-a466-18f435bea302"] }, Open ]], Cell[BoxData[ @@ -36072,8 +35126,9 @@ Cell[BoxData[ RowBox[{"DMajority", "[", "x_List", "]"}], ":=", RowBox[{"Margin", "[", RowBox[{ - RowBox[{"MajorityBit", "[", "x", "]"}], ",", "x"}], "]"}]}]], "Input",Expr\ -essionUUID->"f35bb5a9-adef-4180-b999-b1afb70800d2"], + RowBox[{"MajorityBit", "[", "x", "]"}], ",", "x"}], "]"}]}]], "Input", + CellLabel-> + "In[746]:=",ExpressionUUID->"f35bb5a9-adef-4180-b999-b1afb70800d2"], Cell[CellGroupData[{ @@ -36084,12 +35139,14 @@ Cell[BoxData[ "]"}]], "Input", CellChangeTimes->{{3.887264965478478*^9, 3.8872649742423058`*^9}, { 3.887265019457057*^9, 3.887265023863069*^9}}, - CellLabel->"In[98]:=",ExpressionUUID->"e532dacd-01fb-468d-ae36-06efd08543a8"], + CellLabel-> + "In[747]:=",ExpressionUUID->"e532dacd-01fb-468d-ae36-06efd08543a8"], Cell[BoxData["0.51008`"], "Output", CellChangeTimes->{{3.88726497464977*^9, 3.8872650241801023`*^9}, { - 3.887868715540106*^9, 3.8878687371080637`*^9}}, - CellLabel->"Out[98]=",ExpressionUUID->"89a8937a-f452-4dbb-97c6-f1d90d5bd7fb"] + 3.887868715540106*^9, 3.8878687371080637`*^9}, 3.8880448429642563`*^9}, + CellLabel-> + "Out[747]=",ExpressionUUID->"e4c0a4f9-ff7f-4f52-a27c-93c43ec4f1dd"] }, Open ]], Cell[CellGroupData[{ @@ -36100,11 +35157,14 @@ Cell[BoxData[ RowBox[{"0.1", ",", "0.55", ",", "0.8", ",", "0.9", ",", "0.52"}], "}"}], "]"}]], "Input", CellChangeTimes->{{3.887868726308729*^9, 3.887868727601872*^9}}, - CellLabel->"In[99]:=",ExpressionUUID->"f3e6d89f-052f-497d-8b0a-0ec2990e0a13"], + CellLabel-> + "In[748]:=",ExpressionUUID->"f3e6d89f-052f-497d-8b0a-0ec2990e0a13"], Cell[BoxData["0.5287000000000001`"], "Output", - CellChangeTimes->{{3.887868728175655*^9, 3.8878687381511087`*^9}}, - CellLabel->"Out[99]=",ExpressionUUID->"11fde88c-3680-487f-8cc8-8ce3898463ec"] + CellChangeTimes->{{3.887868728175655*^9, 3.8878687381511087`*^9}, + 3.888044843992251*^9}, + CellLabel-> + "Out[748]=",ExpressionUUID->"2d307b55-7609-490a-9af5-4e54a2a569cc"] }, Open ]], Cell[CellGroupData[{ @@ -36115,7 +35175,8 @@ Cell[BoxData[ RowBox[{"x1", ",", "x2", ",", "x3", ",", "x4", ",", "x5"}], "}"}], "]"}]], "Input", CellChangeTimes->{{3.887265048868321*^9, 3.887265052056212*^9}}, - CellLabel->"In[95]:=",ExpressionUUID->"c241e109-42ef-4883-b6e8-1780ec6b05b4"], + CellLabel-> + "In[749]:=",ExpressionUUID->"c241e109-42ef-4883-b6e8-1780ec6b05b4"], Cell[BoxData[ RowBox[{"If", "[", @@ -36143,8 +35204,34061 @@ Cell[BoxData[ RowBox[{ RowBox[{"-", FractionBox["1", "2"]}], "+", "x3"}], "]"}]}]}]}], "]"}]], "Output", - CellChangeTimes->{3.887265052362452*^9, 3.8878687186625853`*^9}, - CellLabel->"Out[95]=",ExpressionUUID->"50eb511a-9847-42a4-8494-fee60ba8c6be"] + CellChangeTimes->{3.887265052362452*^9, 3.8878687186625853`*^9, + 3.888044844874691*^9}, + CellLabel-> + "Out[749]=",ExpressionUUID->"30562a08-f10a-4064-8bdf-13b5e7a0d3e6"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{ + RowBox[{"Majority", "[", + RowBox[{"x", ",", "y", ",", "z"}], "]"}], "//", + "BooleanConvert"}]], "Input", + CellChangeTimes->{{3.888045471806053*^9, 3.8880454837547703`*^9}}, + CellLabel-> + "In[784]:=",ExpressionUUID->"695be992-d8e1-4769-86a8-0093a6d8b346"], + +Cell[BoxData[ + RowBox[{ + RowBox[{"(", + RowBox[{"x", "&&", "y"}], ")"}], "||", + RowBox[{"(", + RowBox[{"x", "&&", "z"}], ")"}], "||", + RowBox[{"(", + RowBox[{"y", "&&", "z"}], ")"}]}]], "Output", + CellChangeTimes->{{3.888045478925642*^9, 3.888045484275259*^9}}, + CellLabel-> + "Out[784]=",ExpressionUUID->"aa31231e-db61-4915-9446-35337be2205f"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{ + RowBox[{"Majority", "[", + RowBox[{"x1", ",", "x2", ",", "x3", ",", "x4", ",", "x5", ",", "x6"}], + "]"}], "//", "BooleanConvert"}]], "Input", + CellChangeTimes->{{3.888045604735358*^9, 3.8880456207230587`*^9}}, + CellLabel-> + "In[788]:=",ExpressionUUID->"1be66b8a-99a5-4e44-985e-4dacc4aa2a33"], + +Cell[BoxData[ + RowBox[{ + RowBox[{"(", + RowBox[{"x1", "&&", "x2", "&&", "x3", "&&", "x4"}], ")"}], "||", + RowBox[{"(", + RowBox[{"x1", "&&", "x2", "&&", "x3", "&&", "x5"}], ")"}], "||", + RowBox[{"(", + RowBox[{"x1", "&&", "x2", "&&", "x3", "&&", "x6"}], ")"}], "||", + RowBox[{"(", + RowBox[{"x1", "&&", "x2", "&&", "x4", "&&", "x5"}], ")"}], "||", + RowBox[{"(", + RowBox[{"x1", "&&", "x2", "&&", "x4", "&&", "x6"}], ")"}], "||", + RowBox[{"(", + RowBox[{"x1", "&&", "x2", "&&", "x5", "&&", "x6"}], ")"}], "||", + RowBox[{"(", + RowBox[{"x1", "&&", "x3", "&&", "x4", "&&", "x5"}], ")"}], "||", + RowBox[{"(", + RowBox[{"x1", "&&", "x3", "&&", "x4", "&&", "x6"}], ")"}], "||", + RowBox[{"(", + RowBox[{"x1", "&&", "x3", "&&", "x5", "&&", "x6"}], ")"}], "||", + RowBox[{"(", + RowBox[{"x1", "&&", "x4", "&&", "x5", "&&", "x6"}], ")"}], "||", + RowBox[{"(", + RowBox[{"x2", "&&", "x3", "&&", "x4", "&&", "x5"}], ")"}], "||", + RowBox[{"(", + RowBox[{"x2", "&&", "x3", "&&", "x4", "&&", "x6"}], ")"}], "||", + RowBox[{"(", + RowBox[{"x2", "&&", "x3", "&&", "x5", "&&", "x6"}], ")"}], "||", + RowBox[{"(", + RowBox[{"x2", "&&", "x4", "&&", "x5", "&&", "x6"}], ")"}], "||", + RowBox[{"(", + RowBox[{"x3", "&&", "x4", "&&", "x5", "&&", "x6"}], ")"}]}]], "Output", + CellChangeTimes->{{3.8880456057338953`*^9, 3.8880456211731367`*^9}}, + CellLabel-> + "Out[788]=",ExpressionUUID->"1b995784-a0f9-4f3d-837f-bd82892cdeca"] +}, Open ]], + +Cell[BoxData[ + RowBox[{ + RowBox[{"bmaj", "[", + RowBox[{"x_", ",", "y_", ",", "z_"}], "]"}], ":=", + RowBox[{"Min", "[", + RowBox[{ + RowBox[{"Max", "[", + RowBox[{"x", ",", "y"}], "]"}], ",", + RowBox[{"Max", "[", + RowBox[{"x", ",", "z"}], "]"}], ",", + RowBox[{"Max", "[", + RowBox[{"y", ",", "z"}], "]"}]}], "]"}]}]], "Input", + CellChangeTimes->{{3.88804549202096*^9, 3.8880455381289463`*^9}, { + 3.888045572030594*^9, 3.8880455748504477`*^9}}, + CellLabel-> + "In[789]:=",ExpressionUUID->"cc2c456d-b941-4577-bfb5-c25955c618e8"], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"majp1", "=", + RowBox[{"Map", "[", + RowBox[{ + RowBox[{ + RowBox[{"ContourPlot", "[", + RowBox[{ + RowBox[{"bmaj", "[", + RowBox[{"x", ",", "y", ",", "#"}], "]"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"{", + RowBox[{"y", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"Contours", "->", + RowBox[{"numContours", "+", "3"}]}], ",", + RowBox[{"ContourShading", "->", "Automatic"}], ",", + RowBox[{"ColorFunction", "->", "colorFunction"}], ",", + RowBox[{"ColorFunctionScaling", "->", "False"}], ",", + RowBox[{"Frame", "->", "False"}], ",", + RowBox[{"Axes", "->", "True"}], ",", + RowBox[{"AxesLabel", "->", + RowBox[{"{", + RowBox[{"x", ",", "y"}], "}"}]}], ",", + RowBox[{"PlotRange", "->", "All"}]}], "]"}], "&"}], ",", + RowBox[{"{", + RowBox[{"0.2", ",", "0.4", ",", "0.6", ",", "0.8"}], "}"}]}], + "]"}]}]], "Input", + CellChangeTimes->{{3.888045257859498*^9, 3.8880453952279654`*^9}, { + 3.8880454367873907`*^9, 3.888045440767405*^9}, {3.888045543260653*^9, + 3.888045582342847*^9}, {3.8880457644510813`*^9, 3.888045845448316*^9}, + 3.888045920214428*^9, {3.8880471504773817`*^9, 3.888047241606613*^9}, { + 3.888047318319378*^9, 3.88804732780313*^9}, {3.888047386275823*^9, + 3.888047401600087*^9}, 3.888047483777204*^9, {3.888048481240651*^9, + 3.8880484976921*^9}, {3.888048538321257*^9, 3.888048538532888*^9}, { + 3.888048570583301*^9, 3.888048590556706*^9}, {3.8880487171360188`*^9, + 3.88804872126838*^9}, {3.888057129948482*^9, 3.8880571392673397`*^9}, { + 3.888057210247096*^9, 3.8880572524558372`*^9}, {3.888057372699588*^9, + 3.888057373430504*^9}, 3.888060647881452*^9, {3.888060700705018*^9, + 3.8880607308646507`*^9}}, + CellLabel-> + "In[1053]:=",ExpressionUUID->"320c8c52-548b-4a5b-b26c-b01a6184fbad"], + +Cell[BoxData[ + RowBox[{"{", + RowBox[{ + GraphicsBox[{GraphicsComplexBox[CompressedData[" +1:eJzsvQl0VUW2N45jO4DgjEOrKNqtTxHn2WM7azu0Cs7aams74fxaBWcUWm1H +bIcWRUUFIYqAiCIqEDBgwpCEzAlJbm7uvUnuzU2c2/kLVee3d+/f4by81f/1 +fc/1Xy8ra9XaVXXqVu2pdu3aVTXoshvOvGLtPn365Lbv02d1Om7wST3/M4M+ +4Z+HCwWun31dz38JlZcL7IrrqwSu8xkC//Tz6r8mgZ9037cIvMtqcFyrwO+6 +z9MCn+B+sF3gWtd+VuBrXQc7BfZ/3QTrODE+wBifLS8XGOMDjPEBxvgAY3yA +MT7AGB9gjA8wxgcY47N06iZY6cbjtOMrpPEV0vgKaXyFNL5CGl8hja+QxldI +4yuk8RXS+AppfFE+XDPdeJzlAmN8gDE+wBgfYIwPMMYHGOMDjPEBxvgAY3xW +jroJVrlaMx8WRsYF2NKvnOhXTvQrJ/qVE/3KiX7lRL9yol850a+c6BfVE2uW +q8IInXhcgDE+wBgfYIwPMMYHGOMDjPEBxvgAY3xWz3UTrHpvzXqiMMJ3TCce +F2CMDzDGBxjjA4zxAcb4AGN8gDE+q7e7gzg9vma9VxiRI+Y7phOPCzDGBxjj +A4zxAcb4AGN8gDE+Ow91B3Hz0pr1eGFEL7AcMd8xnXhcgDE+wBgfYIwPMMYH +GOOz82p3EDfPYnyst1nPsV5gOWK+YzrxuABjfIAxPsAYH2CMz9oJ3UGc3YDx +8TzEepv1HOsFliPmO6YTjwswxgcY4wOM8Vm7pzuIs4MwPp5XeR5ivc16jvUC +yxHzHdOJxwUY4wOM8Vk7rjuIs+swPrYTeF7leYj1Nus51gssR8x3TCceF2CM +z9ql3UGcnYrxsd3DdgLPqzwPsd5mPcd6geWI+Y7pxOOydnZ3EGd3Y3xrtuPY +7mE7gedVnodYb7OeY73AcsR8x3TicaF/E2PWExPD/hZRvdIIjO98/TyV6++g +PY+nufI94N5+1/6OthPXLlKUI+Vy0M393LgKqQcY9U50HaqVcsAoH+EaWiXl +gO33Cfo+IeWeH5JSDti2n6L2U1Lu+Scj5YBR/oQbUIeUA0b5zm68OSkHbPGY +J3zmI/RhvNry7ghdGM9MB8Yz04HxzHRgPDMdGM9MB8Yz04HxzHRgPDMdGM+A +rTzkI3IWRwcuZ7xbuJvq5ym/SH4X9IzrF8pZnjnfwiUR+WR5BAy6AwadbXmC +1iFJqp8iOz4jMOgCGHRgvc545/H8UvrNetjiW/kD85qFC2PzLVxO+Kgiuaon +OWkS2K4risgOLyK7tYjsvCKyi4rIjij6xfcTcuP7N47o1BXY/D59rncFyyQf +sJU//Q4w6oH+9rvugNvFd0hRD/S3cjyX+KWc9Eyp5EMuAHO+rV9I9hXmhUWB +SwaXRcbFeEG65vo8PsWvh+YTPhRv6AdS5IO+9ndWRvDL8mj7UxKpZ+FSkUv7 +u7NJvmeTvYr5uID6V0D6bX7AeODxY5xW30XpAtj2q0r647tZKfUBWz1YL/W9 +HNZJfcBWLzZJfS+XjVIfMOpb+xrzekLqA0Z9a39jnk9KfcCob+1zzPtpqQ8Y +9a39DjugTeoDRn1r35cGs9zvdUh9wKhv9U5pcLz7vU6pDziOL5mvbb2VZH9U +SX2Hlp+rpT5g1AedUd/juYHw3kB4byJ5bCZ+bCa+aSH+bSG+VD4AnVHfz886 +/wK2fKZ09ePJEB+rfQg6Wz5T/wZg1AedLZ9lie+zkXkA34Pulu/UbrGw2m3W +fpsr+oTLkQ87B/ocqbXXqyLlyIddhPpIkQ8+4XKbn5D6tr2E8A2XW39tUuoj +RT74iMuRDzsN9ZEi3/oVtdz6FzNSHynywWdcjnzYgaiPFPnWD6blyIfdiPpI +kQ8+5HJr3+Slvl1P5oUPudz6h5jPZko+8xHSOD5BGscHSOPobP3cUToijaOT +9atG6YA0Ds9I4/Bo7d28zLfWPqkQ/Fn7q1D0Nupj/gVs1y2Kf3wPPY76mI8B +23XOXIHxPfQ66mN+tr+foN9PyPfQ8/b3EgLbddRcgfE99D7qY/627aWo/yn5 +HvMA6mM+t+1l5HvA+B7zAupjfrftdcj3gPE95gnUx3xv28vJ93ZdWCjzBupj +/gcMvsL3gPE95g3UZzsa8wv4Mo4P7XywKJYv4/jQzjuLYvkyjg8Bo34cX8bx +IWArd1G+jONDwBbvUb6M40PAVm6ifBnHh4Ct3ET5Mo4PAdvxRvkyjg8B2/FG ++TKODwHb8eaJn7qIT7tpHdNF657u2HUSw1gn+fZmx67L/O8vDflzscC+2ifU +X7WrAYOv4+xq8G2cHQ2+jLObwXdxdjL4Ks4uBt/E2cHgizi7F3SPs3OZjoBB +R9A9zs6NW2cCjltX8rqT15G8zuR1I68reZ3I60heF/K6kdeBvE7kdR+vC3md +BxjrBeD3PffdcuFPljPIgZfDcQKD7y2eVwoMvgVeGQbfAq8Mg2/tfK8w+BZ4 +ZRh8C7wyDL4FXhkG3wKvDINvgVeGeb2FeRN4Az7tPFdO8r6S5q0K2veoErzh +O7tuqSW7t17wiO+s3btKYOsfbSH8p2gdlqJ1U4rokaF2M7ROyhB9OqRdwHZd +1E70ykm7gO06KCvfgb/t/kye1j35mPX2XJk3IB/gd9DD4rlC+J3jhEAf8DvH +1dj1ayISh2LXOclI3AbwDX7nOAfgF/zOcQHAJ/id99Htfle3wOB/3ofm9aCd +f+HPLpbU55cJft1nPfYl8AnYflcl+fgO9QFbO66C7LIKsrMqyG6qIDuoguya +CtKfFdI/n18n9LZ8kaT1bUpg/D5g/D5g/L5dN+dJrxSHv9MU0SPgL/TL+h1W +ye8DtvK5Sn7f6qU82d/FYTuK9zg9BX5Gv+z4EzT+BI0/QeNPyO/771ojdLf+ +pagehPygX/h9lOP37X5ynuz/4rBeOsJnTHdLl6iehbyiXxb/KcJ/Sn7fy3Fb +hK+Zz5juli5RPQ79gH7h9+36ozjUC9mIHDFfM58x3S1dovME9I+1j7oERn9q +XH5nRI5ZrpjPme+YDyydovMS+oN+Wn3XFdEjLNcsZ8z3zIfMFzZuIToPWruR +9xkLIusgpMi39TBvrhS9DDsFMFLU8z9XKnjx46sU2I+nluS6kfRcguonSQ+l +6Ps2ktMOkptcZH76pfbT06Nc8j0VKuh3q2kcNfS79TSuVTT+ZprXmqm9Fvo+ +SfVbqT8pqp8hvGSofjv1t53qZwlvOaqvcuftpnyEvv+Lx/9vePT9Xyow1pm+ +X3H23jLqfxfplbm0nsL+fTn5xSsi+gX5cf2K64f/vRLig+5I/6EvPV2qSK9F +xwt9Bxh60eKzgfDJ/ML8kSL6Mv2Z3kzfPK33eX+wQPoJexrjBYx+87rH7hs0 +R9Y9gDEuXvcAxjh53QMY4+Z1D2Dggdc9gIEXXvcABp54nQMY8zXwgfka48d8 +jfFau1PtPIzH7ivp/h/6C7sC/eN5HCnyQW/Ln788PmR5AT4BA5+AgU/7Own6 +nST9Tlpg4BMw24tMX+AP+EH/gB/0D/hB/4Af9A/4seuedlp3ZMnuz0foDdja +XQWkb0po3aznmqAfIW+AIV+AIU+AIT+AIS+AIR+Arf+kgtZj9eRHqiV/R638 +PmD8PmD8PmD8vo0v7o7EMbBfhs8BQY6tH2oV+VNWye8Dxu/b+OXuiF+Px81+ +ID6nAz1ix5+g8Sdo/AkafyJCZ8Y7fp/9TnyOBnrMnltJ0jmPpPw++12Yroxn +Hjf7uficC/SoxX+K8J+K8DHzFdOZ8Y7fZ78an0Ox8ePdArPcMB8zXzGdGe/4 +ffbjxcklywnzLfMR05XxjN9jP6E9D1Qc0QMslywnzLfMR0xXxjP7KQFbPcnn +6ydG1rXIRz34Ke18VUXzYx3Nh000L0X9VHZeStO81Ebzks6f8GsAtn64cvKL +lZOfqpz8RuWB9eOU075wOe3zlpOdUS7znp2/yyPzKPtpAVs7sI76uUq+Z7+q +tS+TZB8oHvD9mv2gCbIbo3jD92v2WybJroziGd+v2c+YJrszHaELvl+zX7BN +7BZr3ygd8T378az9o3RGffazWX+W8gHqe/npEnsJ+V7+mwWGvQQY9hJg2EuW +bu1EhyzhNdoPwEjZL/U/3U/IL9u9sJNYblAO/rW/0xSRE6sfEtReS0QurL5K +Ep5aI3KA+uBH+/vpCN+jPvgP5ZhHmc9RH/yHcsxzzNeoDz5FOeYl5mvUt36G +cZKu2d+JejMFBv2sXVdHdk2j6CO7LkiSXkmRnsiQ3HeQHOekP7bf00N4tMB+ +HONDvp4k+R6uonVhFfm/qsT/Zc/TN8j8B38YYPjD7PqjmeZHhf13zcKfkD+7 +r6Qw/GXWbk3J/Oq/bxUY/jNrV2Zk/oU/DTD8adbua5f5Gf41wPCvWbssK/M3 +/G2A4W+zdlRe5nf43wDD/wa+wzoQfGb5MBHZf1zz/p/u+/D+F+8/gQ9ZDqy+ +rCL9WB+rp1gPsZ5hPcJ6gvUAyznsP9+N2RE7ELDnq0WE1/mS7+sXRsptfjfN +NwtCu/EjSZFv5W5SpB82Lmml0AmwjTtaSXFGKymuaCXtk62k/Z+VMl8y7PtZ +Kvjz450Y9nNWpP/AB1KMB+P29RZG7DS2u9iOYruI7Ry2Y9hOwXgA2304jZPC +OAH77+ZKv0FHjM/y1cJQ7ubQ+en5Ms/g9wFDXqBfLax2APSpvY+nWOQJ+hMw +yu19LupnRTnkDfrR3qdSLPIHfWjvIykWeYT+s/d5FIt8Qt/Z+zCKRV6h39jP +CrmCvICPMF6syzA+wBgPYPQfMPoLGP0DjP4ABr8AhlxYuhZLvucf3UfiOA2O +m+A4Bo4r4H1+3ne367VisguKI35hpL/Uflr7ZaLwPeY3G0dVR36zRvJrqR8J +esWe10jT+Yw24UPrb+2OwNbOXCB6EbDVB9PpnHCcHiiOlXOWa5ZjlluWU5ZL +lkPA0Oe23/OFHkiRz+t0XnfzOprXxbzO5XUrr0vBJ4Dt79bS7/y/7xf2Na0+ +ahQYcQGAERdg9VmKvm8jfdZB+iwnMOZl8KGVJ6xv1N7H/GLjRdVeh3719VpE +v8Lehn6FPQ39CnsZ+hX2MPQr7F27Pimgfqu9ZfO7Zbz8nY3j1vWtxW+S8Jsm +/LYRfjtovuik31d6ox+wDwB7vBdG/GR2H6lK+BSwjfepEj4FbON9qijep4rO +nVUJnwK2+5T18nv23F1KYBsnVk9xW/UUN1Uvv2dhPScKfLBfzp7zTAls1ytN +dF6yieKymuT3Lax4xu/bdXl9ZB3Ffj9rX2UERn8Aoz92XZuP3McHvNt5Lhmh +C/pj94+bIus89jNae69DYPTP3oeRj9ynBzqgfzbOXvkE/bN+DKUj+odyPnfL +flnIo7VHc3RfRz5yPx7ogv7acwD1RLc68uMqn6G/KGe6o78o53PA7CeGPrH3 +i+Qj99+BTug/vmO5Q//tuQWVC/Qf5cyn6D/KmU/Qf5TzOWX2Y0M/8n13oBvG +g3qsNzAee+6iiejeKOUsZxgPypnPMR6UM19hPCjnc9Xsd2e9ivFhXmA9aM8l +dUX0lF3/d0X0hvUHdEXk1voHuiJyYv0FXRE+tP6Drsi5cI67xfzmYZyrrKT5 +t1bsDthDvr06sYdgd8Aegt0Bewh2B+wh2B2wh2B3wB6y8cjNFM/UQv4y1Wuw +Y+y80E56OUt6MB9p38YDpcgfl6F5pZ30epb0qPINfgf2Gtq383iG5tN2mhey +pIeV79A+8MZxXWjfxjO10/yYJT2ufBuHJ8BrjhNrp/kuS/Ob8j3TlekQF6dj +486yIidoHzDzCdOV6RAXB2Tj2FTumO+YT5iuTIe4OKM4Pma+Yz5hujId4uKY +4uSE+Zr5kPmG6cx0iYubsvGOK8Xe9uuHCtFPrnnZ9yiXfQ67718u7dh1Vjn5 +hSoi+dB7dv1XHfl9zCP4fXzH+zB2nVYv+yzQp7wPA7m180xv+zB6bwb2Wf7r +fRi+F6W3fRi+B6W3fZh2Ou/X2z5Mls775XrZh9H7OLDP8l/vwzQIvWzcdxXp +yXrBN+gB/Np4tKTg3+qtFsEn8A38WT9XRvBr9URa8AV8Aj/WD5YT/AEf9r7h +PK3jmyLrJsDot9UzSZq3WiPrCMDoN2DWi+g3YMg7YPQbMOw0wKAzYC/XXZH+ +8zrLnmtujaxzbFxKOrKuAGzvra4ju7yO7n2uIzu3ju5NriM7UfvH6yzA9l6b +RlpfNdK92Y1k9zfSvdONZEc30r3NjWSHNpLc67oJsN1v1XUJYBsHp3Y+YBu3 +pnYyt8/rGsB2/zZJ65AkxcElyY5Pkt7RdQRgu9+rdjiXsx1u970Ql4b9Rfif +PxTYn3v4WPY7vd6BX3BGWP81gb3emRLmz5d2eB6EnPTml2c9wXLFfnvWGyxn +zNfs52e9wnLIfM98yPsErIdYbllOmG+Zz3jfgfUYyz3LGfM98ynzHe9rsF5k +PcJyy3LEfM98zHzL+yisd+HHxe8Dxu8Dxu8Dxu8Dxu8DtnEK0X0bz99870Vh +jP95Ou0XLxXY19d3bqxdqPae1dMrI3GOyAdeWM7YjkT7Fq4TGPiDXWnXU3pv +vZ3/ov2y96WUye+gXfZb2++raH3P+9hNAlv5bYj4YZlP0F+OI2C/P36H7x1B +uxYv2q8176snCE6SXa1+WOZj9JfjHNa8LxG9B8X6T7kfuq8PGHaghdNid7Lf +leUM/eU4jDXvm7SSPct+8WSkXxx3ALvUwm20v6R+VdYD6C/Hiax5Xyd6T4zt +D/dD4x4Aw062cIfY5ewnZT2F/nIcy5r3naL31tj+cD/aInEZsNst3CnrBPZz +sh5FfznOZs37YnoPC/u5AXO/OE4E6yzA/vdhX2Ujfkn0j+N+eJ/OrueyET+1 +PU+XjcSlAMbvW/9CF52Dis4TgL284FxqNO7Kzgu6r4jv434XsI1f0fsGbDtl +4qdFf3y9LkmRb+NCdN6BXxf7eNCjSOHntfcTNVHKcbAJSeEHtnGxraTf9L5O +6w+GHHPcbBvJr8bRgu5WXnKynw+8+vGpfwAp6gEvFs+1pDcbCY+ryN+TEDza +/eA6wYvFY5LmhRThMUV6uI3wmCG910F47CA9kyM8Kgw8AI/AF2AH/otdw/cA +sR3B8/Sa50GeZ6LzCetr1oe2v3pfB8u979c4ioscJ+ssX288xXnOjsQZ+vq4 +d3IO7aOsjPgHbbyB3kOI/vrfU9i3t0zq4bu4eqyXAOP3QQ+O+4a9wv5D9g+y +/4/9e+y/Y/+c1d/1pI+aqT8t1J9W6k+G+tNO/clSf5Q/QCff7qTYfS62n3nf +a832Ku+DReOErJ6Mxg1ZPZmm3+d9s2hckdWT0Tgjqyc7Sc/p+R/wsT1fXi7+ +UnwH/kF9wKjv8dVM65AWqQ/Ytp+kfqWkvj2/Xi7+VUuHjNS359tht2eILu1k +57eT3dxOdMqSnZ0luzVHdMuTnavn7+CftfphJcmt3jsYtw/h8V4TSzd7L2mZ +yKHF86pYOgK261mma3MsXQHb/rbQ7ydj6QzY/l4r4SMVS3fA9veYDzKxfADY +/h7zRXssXwC2v5clPsnF8glg+3sqv+Aj6Kc4OjPdmA6MV8YTj5vHwf3CvGnn +2UKBoY89PJrm0fFSL64d1MN3vnhWBLbtzaTvZoTjfobiY/V8FeTNt4d9I4U9 +HnSetffW1QsdfD7irRT29G0gO0nPX4FuPh/7TAr78eg8buPfWoTOPh/zq8Lu +Z2frvA+71ManYL6F31Zhr5/UvrfxYrov6PPhp00L7PupdgXsWnuOH/5Y2L8K ++36qHQK71/pdYY/Ar6qw76faLbCLrd8U/lH4RRX2/cxH1hngQ8SPezrNjcSZ +gi/Brzbud6bUQ35cPSsnkI+FJGfwdy4jOV1K85C+F2TvXaqS+oBRH/yO+uBn +1AeM+uBv1Lfxy0sFRn1+R8b63ZYKjPr8jgz4E/UBoz6/I2PvhVwqMOrzOzL2 +HselAqM+vyNj45yWkt9E3wtCfXsv4lJa35QQncojdLV0idLRxhVUiR0L+wN2 +K2DYqYBhlwKGHQoYdidg3+8usm+WCR8x34C+Fk6KfWP9gg3kf2ygOMkGijNs +kP7wPe7gU+ZLuw5pkt/39Zrl9wHb9yGa6b2HZvl9wPh9q8eVz62+1P1Yj58W +uoeoheIeW+T3AOP37L1CKidWv7ZK+7DP7D1MKWnf2m/LRM5Yrqz+1f1Xa9d3 +kT23jO45UrmDfFg57CJ7bhndv6JyCD+ChZdF/IXst2PY47eY9s/wDiri9RT2 ++rossg618XwVsm7Fd4DxOzZerlbWsagHmOPkYX9gXYt6gDlO3Z6PT0o96wdU +/471G6Zofaz3q9n4gpSsg+16We/VsPEAGVkX2/Wz3qNh9/c7ZJ1s19N6fxv4 +h/3boDfoCj4BXcEnoBvKLf2Xkr9xmdAJ5aCLnc8a6fsE6dEE6a0ktZ+k9lOk +91KkdzL0+22kJzpo/uwgOc/RfJmjeWqZ4NHijd+JZjxXEB70fQkb17xM8GzH +ze/DMh1W0Tj1/QnAtn3GO78vy3RiOvD7s0w3pgu/T8t0zFD/26j/bURXphu/ +b8t0zpH+1Xd7+f5b1AOMeojDRDlgi7dqwms18UUN8U0N4aWe8FZPfLKK+Ejf +CXbgSc1SDhjlfjzNND5+F7GF+sfvuyTp95PUfiu130r4SRF++N3EDLXP78Nk +iA/5HcV2ap/fj2kn/PK7illqP0t8mCM+zVH7ndR+J+EnT3ZMXuoDtvSI8iHz +KfMh8ynzIfMp8yHzKfMh8ynzIfMp8yHzKfMh8ynzIfMp8yHzKfMh8ynzIfMp +8yHzKfMh8ynzIfMp8yHzKfMh8ynzIfMp86H1gy0TvmQ+BIx7jvE938ds8dQV +4V/OB4x24n7Hp7rPDBjzI2DMf7Zc4zMxf9n6av9j/rFxP7q+9PjR9Ryvp3h9 +w+sPXi/A3vftzhb/ix/nLPE3+nQmwRPlO59OEn8L1qnWv1ct8mzjoFaJHFt5 +bab7GJpFHn3aQvaAxvHbcy8pkTPIkz2nkhE5grzYcyUdIieQB3sOJCdyAH6H +Hxr8DD63ehXvC+Jd7o/EDwU8eljvzQHeUQ94B+ypN5/iAJfKfif2RZHvkn+5 +18i3s1L4DvodsE+xT1Av9cGXPB949tD4O8gP6tn1mJ4HB38DtvFdVbR+r6L1 +e1Xk3CLkCzD6x/F24Ff0D/Yt+Bewlb96Wq/VS/8A87lWPhdq9YPOZ2uOr1sl +/YM9DfkBbPVBk/QHMJ+j5XOoVh81kf5PEL4S0h/Y65BXwHyumM/p8jlX/P6a +/Tm6/wX5t/RSfQCYz/3yuVn83pr9OWnCf0p+D+sH6BfAfO4W7a/Zn6PxZ9BH +lr5top/seqQrxp+j92BBf6E9rEdsPEAHxRuqP4fnd75Xy967UC7rFxtfkKP4 +wLy0z3YqxmX1VBfpmTzpD20HsI23LiX/gMLQf6gHfYV67Gey6+UuwS9+F/gE +zP4Q4MuWK2zxO17mAcTPQM8DH+i31bsKo9+Yj1HfzscKoz5S1uOsN1lPsZ5g +uWW5YjlgPma+A2zbgX1YHjS4cZTR/kupwHZcVVIf+5SAga/B4XwF/ID+gIEX +fO/xq/FDmE+gn+38UU/+ROh9jTeycXPNFFfXTH5L2Esan2T9Ky2ij61+xD4m +zqloPJPVr62iT62+g98S96hr/BP0JfQX9KPVZ7rP6f3LGi8FfQh9Bf1n9Zfu +c3p/s8ZXQT6hjyCfVj/BLs4GP7rv9FytvU+hU+TVxkvpPufj7jv1Z1t/GsdN +dpE/rEvoY+snSV+m6Ps2kr8KaRe/D9jKsb7rGOcXt/GvCbLnE2Qf6T0yli9W +yTisX13vcQEfgF8xTrRr/d8Jsq+Sggf7O3pftT1flxI+QLvW/50meygjdEe7 +1v/dJuOEXrbnlfWebjuPNZPdxHE9bNdw3A7bIRyXw3ZEB9kZ7WQXcFyNzuuY +d1Fu42jKaVxVNK5q6nc99bue+tUk5dBzKLf3hJSLHrP9aqV+t0q5vSekXPQQ +yu09IeWiZ1Bu7wkpFz2Ccux32fHpO/U2vmFhZD2Ner58fGQ96OvhHbt3JB7H +wwVSD3gHPQBjXgPeOe7GxsPpeXrAmJeAd46bmR3OO8A7x8VgXgHeOe4F8wbw +znEtmBeAd45bgd4H3jkuBXod62Tg176fFRfH0Uz4axLYxqlXCx7sO1IK2/jW +esELfseuQzDvt9K6KiO/Y/m6Rfw8dp5vl9+x74CkyA/UKnjE79h3OjKyr2fn +8bz8jj1X2S77fjYuDvEMiyW181w2YjcDxnxl/X+VtO9TK+W8TwU70O5Dlom9 +CBj1eN4EX+B3AaOenVfhT6iTfgDmdx7sfnKTzJeA+f44O18maL7Ue9itvyIp +/GTnS7XnMA/a+TJN86W+R2b9CxmKf+DzKBp3jXnJxjMozPdtgQ9svEKOzlNp +3Azv69tz1XoO09opej6R9+2tX0rPGVq86vk73pe3dksmsg/P77TzvrtdH84V +vY/1IZ/HsHAR3ef/CcV/LqI4vFLhf8gRx0cBRn3wM+qDzznODfVBD9QHn3Oc +m13HJ6Q++Jzj3FAf9EJ98DnHuaE+6If64HOOc0N90BP17b3LGueG+qAv6nO8 +DGDUB71R38bLcJxbaWTdC31k70/Ve8HtvofGCdjz6aWihyweG0nfJsi/kCC6 +Mp2SRNck6esk0SlNdE0RH6SITm3U/zbqP9Opg+jaQXzQQXTqJLrmiA80fsP2 +Iy/17LkG3Ye15xZ1fWb9BbWReYLnAdbzrMdZT7MetnGTBaJ3fL8mid4BDL0D +fQs9jNTzWY3oW+hh6y9ZRX4LtTt9+82ib6GHkWLdZP0OmmLdZP0KmmLdZP0G +andi3WT9Amp32nVTXuiNlN+3gF7G/g/0MmDoZTv+KrID1d60+wctEfvSrq+i +9qS9DysTsR/t/VftEXvR3jcStQ/tfSFqD8L+g5/Y/+4S2bdC+yi354e6yK9X +GuFL6z8tiOAZMOjCehEwz4dsZ/L8x3pzzfNdgtpjOEl6juEU/V46ouesHmO4 +g/QWwzmar/QdTMwvSKGnIP/2HhzVW5B/e09No+DLxknye0LRd4Wsvyn6zpD1 +M/J56jbyI0bfIbJ+Qj5PzX7AHOm76LoRehD62543ja4boRdtHH9z7LoRehL6 +3+qH6LoRepPvj4hbN0KP8v0NcetG6FW+PyFu3Qg9a8+dV0bWXeA7XlcBtveX +NUbmS3tfSnQdZfkvum6y/BddJ1n+a4vMt5b/ousgy3/RdQ+/52vnyxrR73bf +WPkJ+h3yBjqDf6DfIW+gq42zUD8/6GjjLNSPD/6wcRbqpwc/2DiLTjqXM5PO +4fG9k3qOD/Jm48L1HJ8991JG51rK6NxKGZ1LKSN/n74HatdF+s461mOAMS6f +Xy7teLpUCYzzb4A93pqovEVgnDez9dMCe7y0CYzzXYBxXsuOqyKyTwA+Q4p8 +q8dXScrx8ZbPmknuksRnSZK7FPFZiuSujfgsQ3LXQXzWTnKXEzsDKfI9/SaK +P9amE8VP5celcUA2v4jsu0VkD8LPpSnyfTvjyX88WvK9XvyE9osXSj74z35f +TO2CD2cJzHbVf7cd2Fm2frH0CzD3D3YhUtsvjYMfHNojvj29VwL5tt5Skke8 +V1McGZft97he8fLfHZdNtV3/+7PpdxbJvrQvL6X1ehmty2ZLinz0D/1Gav1G +GpeFFPmQbxsHhXO8NWSf8DndBpHvceF85PuF+8qbRb4xH/n8lpDuej8s5iOf +j3sTUyLfmI9wTtbr94zIN+YjnIP1+l7vh8V8hHOuXv/nZN2G+QjnWH17eaJ7 +AfHX/Fi62nrYp4GfGfuoOLeEOK5G2af3/UrIvrvPT8o+us9Py764z2+TfW6f +3yH71j4/R/f06T0ffhx1ZDfpPR52X0PtJesnTpMfuI38vHrvhn0HWt/5xLzk +80sFhnxYuILmxUqCa2leZHgVzYuNAnu8JAQGPSycFBj0sXBKYNDLwjpPg34W +7hAY9LRwTmDQ1/OX2huev1YSXhVvXs+spPrVAkMfWLzXUHs1VF/tGasvQJdV +1F4D/X6zwNAngL1+UBh6xrbfQuUtRNcktddC/W+lcoU93VPUnsKId7HlGYE9 +X2SovQzhq53KFfZ800HtaTniXWy5wp6vctSewoh3seV5wk+e8J0nehb/Lx/+ +Lx/+X+VDbzetIPovD/GUp/wuonNxbL24dgFj3QfYDXOw3gNn7Tmd/61c1Als +4/qKZf63424lvCldMf8DxvwPGPO/7Y/GUyJFvu9flfQbKfKxXsU4kCIf61eM +C6nN13hEG5fYIutbjNvGHbbKehd4sHGFaVn/Ai82brBN1sPAk40LzMr6GHhD +ivz/KT+Evb9odMRvAtinM8L8mwX2+utvAnu6vizfw/5Cuf+9tyS17RbSO9HY +Z54fylW1rCegx8E/Nk4meg+Qr6frCehh6xfRuCToWfCP9XNF7+mxfq6M6Enw +j/VztYseBP9YP1f0Hh3r54rek+Pxhn3DpZIiH/Mc8IYU+ZjHgDekyMc8ZeOG +eV2meEOKfMwzwBtSuy5TvCG16zLFG1K7LlO8IbXrsrzgDSnyPd2xLq2V9an1 +g+r5Mqw/rZ9Tz49hfWn9mO3kt8zJvoD//dLI+QP0x8bB6v0Rdt9D+2PjX/l+ +B76/ge9nyEk/0C+kmJes/1j9eZBTj68asZ+sHaX7uezvs+/4AO/qF0C+PUek +/kDIOewoz3+aIh94Yn8h9ADsKNhPSJEPvLI/EXoCdhTsJ6TIBx3Y3wg9AjsK +9hNS5INu7I+EnoEdBfsJKfJBZ/ZXQg/BjoL9hBT58G/Yc4ulsr5GinxPF/UH ++/wKWV+Dn+x5h1pZbyNFPvgHcoF1NtbfSJEPfoHcYN2N9ThS5IM/bNx5Utbn +SJEPfoDcYV2O9TpS5IP+kEus07F+R4p80Btyi3U71vNIkW/vH87JOh7re6TI +72P++F3u+H0IwH4eKKF9FrULUe7rs92q95z5fLZj9fw+/Ecox/yNcviT7Pd6 +/t7ub+q+B8rhb7Lt671kNu5V90VQzvclY/5Gub3HjvdNJokfHCny4VeG/xUp +8r1+Wix+Y6TIh9zZfZkukWMbR9RF/uUiSS0/gD90P8Gn42hfi/ch9L5ofAd8 +wO+OevZ7vY8Z/cH4kI/vfBr1q1p+ja7ffL76C+x8Vkz77sUy39h2Woj/UsRv +GeKvduIn5R+so35p/bJ6X/H3S1mXYl5BfzBvoD92XmgSvW/Xj0laL/L6kNeD +HbT+y0XWyawfWR/OJv3H+o71G+sz1l+sr1g/cTyo1cOlRLdK0sOVxC+1pIdr +qZ+NpGcbaZx8v2SC2td7UtgvjnkX5ewXt+egSyJ+cb6Hif3ifO8S6Ity2++o +HxP6x97bMFdgpKiH9ZvVVwUyH/j8iQIjXXO9mSH9ptC9vFVkv1eJnQ5/hLXP +4fdsEP+Eh3Ud7cDZzRSHlJR5GHY0v4uJeRh2Mr+DiXkYdjC/e4l5GHYuv3OJ +eRh2LL9raf0wedrHLZR34+CX8HheSPtyei8s6nn8FAr+2f+BfN/OfPkdpMj3 +7eB8G5+f0/1X5KMe8q0fTlObP0v4xX83W/J9u+/QO3mzpB6+Qz7q4TvgBXgC +3pAPPAFvWH8ijtCeJ1gmMOpxvpVDPYdo7R89n4N6+A77EeAHpDZf1zGwY2AX +wW6BHeTLS8UPjBT5Pl0u/hqkyIed4/u7VGC+zwj51u7T+4q43Pe/iO510fs0 +Adv93GLZz7X6OUH6OEn6N036to30q+pbex9LMbWj+vWX2m/Q1faf95Xj943X +vE/c2z5wb/u8uQg+wc88L82mecbz3Wsk/7BbamR+gH8G84Hns2bR//CfQN/D +HwL9Dv8G9Dn8FdDf8D9AX6P/vj8fkv6oEPm2fFIk9o5dN1VKOfQDyi0fFYm9 +g3LLV0Vi76Dc8lmR2Dsot3xXJPYOyi0fFom9g3LLl0Vi76Dc8mmR2Dsot/JW +RHHJUT1h9VGplAOPVv8oXoFHi5daKbfvNC4WPFq8KN5sXGCR4NG2nyS8pKUc +eLR4aaPfbyO8KN6AR5Tb84SLyW5cKfV8Wi71wK+AfVpN/FIt5bDbANv1H/BQ +T3RYRd83S30v581S7vMZbiH5aaH2kwSnaLytUg67z8IZkr8M0ZHhdsKPnguB +XWjhLPFRluicIzhP+FS6wk6w+CkSOtv8KJ1RH3S2eIjSGfVBZzuuKJ0tnZSO +cXS2dGqh34/S2dIpRe1F6WzplKH2onS2dGqn9qJ0tnTKUntROlt9kKf24uls +90uL6f6fxbKeRzn8DxY/dVLu8av6EOt9lMM/YfuXkHL4K+z4WqUc/guUwz+A +cvgzUA5/Acrh30A5/Acoh78D5Tb+rpjut4niifHCeOBx8zh5XDwO7jf3EzDW +YdbPPTW0m6eJv5vXZ8j3fDAvHMd8WrcVCuzbLZR6/vcKxR+J/vj6OHe7RPJ5 +/uX5ludXnk95/uT5kudHng95/uP5jvWfT1Wfsf5i/cT6h/UL6w/WDyz/LN92 +X3MJxeVoPZ/mpR7oBTqD7qCvpTveYVL6gb6AffnMYOyla922V8k7whd9j3l9 +3d03Whhc+8U9I7+c+3Lw/vDNCoZVvRqctMOGK3aY/EFw4+nlmdP2/zCY9PmU +6YNuLwoWtvX9aM6RPf3deeSgVy/pWdfeUPCbroUVwXXvH3HKwWfXBoNHbHx8 +7vMaSZH/5FqlN97Xtio44d0XrzlgjKbIP3/XGSdfcUQiOPDnZ0+Yt7GmyM+d +9F3DQ2OTwZJdErXJYZoi/+7rj7lh2opUcO6Je4zYYIKmyB/w1CNrrRzYFnSM +uOWnPTMZSZE/8b3Kp765tCO4+8kPnzhjqKbI379hh922L8gFA2avt8utIzVF +/id9rnr/qC/zwct1p737fGE+eLtsu1ENm3wanLr74xut/HqcwC353LDa9d8L +9t1mye/27Pcp7YN1Sz7oZeFCgX/c4+VL39umLJi60Le7w3/uO7bPm5VBQQgf ++9GiqScdWSflV6x/zopxpY0CfzL5y2+vm5EQ+JylRzwy7rukfN/ePXaH945J +S/mdW5ZOr3+kTeB+h25zTJ+qDoFfvviyysE7dgqMFP1Eu//49o2h1+2tMPf7 +o6MPGz57QaV8j3GgvPlvy0b+fFZ0XG+G8DqVf5xwYjo6Tny/Rf+RiRM/VJjH +PXm/wluuW69Vvmc8HHjuxuuPOy0eL0vuHPbc7Gfj8XT+Ky/uUd8cxRt+P/9J ++sOfd+8M+bsr5O+uoHFs/cIH/vR08PAD1y148KLHguufXrTH018tCup/+OMO +Pw5ZFDxyevsX9ZetlHZnPHfHwF2/qha4ItHviOv/2iDwXa7fzQIPcP1sEfgV +16+UwPvdX3DlSVdlCK/twWSDx6yMo8PhLR/hh/9X/ZxM/Sygfk6lfo6adfJL +TVsViJyel9779MG3dAVnVnh4Slj/vg6fX9p32oRdX1km7UIu/fy4TFLkXz5/ +//VP+dP84NB7nvniykPmSYr8Oz4/skdPlgVb7btRj94sDfVnaXC9059lwYnr +H7VwvYnvBYMqb51aucXsYK1VYxsvfGll8P4Tw2oGHK4p8gfvts06k/apCepq +0z+ct7w6WPZSyqVDL9nW5Z/g9HZD8KPT4w3B5223uXT4lDdd/oFOrzUHmzk9 +1xz03canR47c0eUvcfquJZjo9F1L8MIRPl3+os/3ejsV6vFUMPQyn15W6PM9 +X2dCPs8EhWObXfpl2uePcnq7PTjb6fH24A8Fu7v0vo2PdfmbOr2dC3JOj2eD +1IqbXbrV0Eddvtfb+VCP54Pbvpzr0inDqlw+6IJ58rYxt04dcX+J8MXqUaS/ +ezM4tWdUY5unSIr8lw4r65m3KoPD73ihZx6rDFYLZ/GouuCSRUMev3vruiC1 +7Ks5m/drCu7rt+CdxVMagzGu34lgmBtHIhjo+tkapF2/k8Ebrl/psJ/p4FCH +57ZgA4f3tmCpw2tH8LzDc0fwR4fHzmCIw2tncHD1LkvHvNkVzNj8x42X71gc +vB2mP5c/scfQiWXBmyH86+13OX3k/lXBWyF8zBXv3lJYVCfwVdNOeG7j85qC +ghBe+P2Ii6d+lZDyc3aa3b38yFYpzxz78+gv/pqW8juuPnHLgWVtwQchvOlj +T04+fNus9GvizLpDLv1Tp/Tv9aaT+u+zoEv6N/2oEYkX7yqV9qoe+mm9TP/K +4J0Q/tGNp1bKd3LjaRT4Fde+9nc/h5ekwJ+48aSCWSF8rhtPWzA9hLNuPB1S +f5QbTy64foPdjinYokL6/ewZ71/55aQa6ffc509+5IhDVgmcv+n6cxemmqWd +u555ryMzJCl42Gxun7v63p6S+q86PGSk/QPWfeqV4Rt1SL9Kftuw36izcoL3 +C0/dtWjCC3mpj9851tGzXPKvdfSslu8e/Kb2w2HZevldP/5mKe9w428J3gjh +kW78rdJvT88e/RrCLzp8t8vv7+/wnRW4yOG7U/nt4OMnfH7VUvm9CXf/5ohF +664IBrh2u5RuW1772fq7aXwG8lFv7hHHuXb22OYH0w7axXdox687S4LPnt30 +6plvavt1ofwjRb4tL5H1Ze76zbd6cJMSKYfd1pBsmD62pEzotd5eN1SuuKhK +8Lz7rWt9N7C7TuCT5j21w2Wjm6T+QY7eLTLOxY7erULH8xy90wJ7/mqT+vc4 +/soGkwx/dcrveX1VFuorTZFf6PRXVfBHp780RX7G6bP64AGnz+okRf5GWz/Y +M+80BW+cfVbPPKQp8r1ebgn1dEJS5Hv91xrqP02Rf5jTh+lgQ6cPNUX+Mqcf +24LxTj9qivwLnL7MBns4fakp8j9z805nMN/NQ5oif/G9V/d9rmh6sLrXK26e +JinyC8487/TGvy4IUmVdRx+/YL74G5bvd1vJpClV4m/44s4Nu7sOqxd/w9ZF +47c4ZHmT+Bte+NWz2/9uaEvox2gNhuzZPO2Kka3ib1jwh91/93BhWvwNZ/7l +5pXTNm4Pjgv9Dcl/zL1i5bCs+Btu+3jdf37zYmewcGjja0tumhauJwvE77DN +2McPzH//pqwvV9yypOrRP80X/0lBR+uki7bWfeBhW2533sQ2vddg5MVv3ZUd +VSX79y9ODibu369e9usXdJcV3fUS7rNoCT7ffuZfkgN1P/6B333/qw0ua5X9 +963+fOzzexbgfo/2YMrDj+55xpe4vyMbHPZ21cd/6aHX1a5/nUHJyh3PeL6H +Pg9vuLjHHl4aFD54UY89vDR4/uuDK6/ZqCTY5raJibXL9H2Vgj0OnHlsmeaj +Xj/Hpz12qONbTZH/+Aar+b0qqC1fze/VwRBnRzUES51dVS8p8t89Y/X3PXjY +bvX39UGB4+PmYJTja02R3+i+bwr6O3loDo5wfN0S2l2aIv9e931L8Ir7viVY +4fi8NXjR8b2myN/cfd8a7Oe+bw0udXyfCfZ2cqAp8l9336eDT9z36eALJwft +wQInF5oi/90/rv6+PahdtPr79uABZ+9kg7OcvaMp8k98YPX32WBE++rvs8GW +btz5oNXphU5JkX+++74zGOW+7xT+/fLw91s3GD1D/Nie/6qDQsd3eq8Xyr28 +6f2ynj/rg/Qhl2eL9tF7vlB+aP8hh4y+RO+b/cLxb3Mw1vGtxn+jfKiTV71/ +doyr1xIMdHyt94ChvNDJs95Hu7Wr16P3HN+30r5Ga3CWk3e9n9bLRzo43MmF +xnOjPO30gd5X6+WnPVjq5Ebjt1F+u9MXen/tMlcvG1zyz6uSH6/Qe8RQvlHy +1Ie3z+h9tr5eZyjnGq+Ncq/feujp1mFdsn4a+8qZo7cYUxY5h7bP0gf3P69n +/TPV6aGqyLnv4U4fVQYrnJ6Fn7su1I91we1OP9UFnzu9i3dF9Fy455emcBx8 +H2kiHA/0st4/+lion7vdOFuDvRzd06He1nPkox3908F8R2e+X7Qt1HdtwRmO +rtlgZujvhP94kqNvR9Dq6NgZOXd+qKNnJ/mT4OetCQ53/FsT8reemwCfX3Lu +/ItKPm8INr7/6/4DFun9duBrz5/NIV9G3zca5vqdDKa6fkbfN/L8lwr5js8v +ZEJ+ywTLHZ9F3zfydGkP6RB938jTJRfyG58vyId0yQf3OzpE77cD3rDOz220 +2j+k97X1dXgpDS51eNJzKX6dXhGMdOt2vedpqOPXyuABx89639ghzt6qDV5w +9lat8Knn39pgsuNvvRfqYmd/NQYLnP3VKHx7q+PnxmCp43e9j8zr40Soj5WP +PV4TIZ4TId8kQn2cDNelek+Ux3MyxLueR/Dr1FSwtdPHOCeVDvVhOqSD3it1 +q5uf2oLJbn5SvvfzfVto1+g9U36d2xGue/VeKS8fHaHdo+cRvL8hF9p3es/U +ZMeHudAu0nuoQBfQCXQBnUAH0AV0AF2Ad9ABeAcdgGfgHXgG3oFXvgcOeAYe +gVfgEXgF3vgeOOAReOJ74IA34IXvgQOeevM7Yx00vPLTU+cOWSr2n9er1WL/ ++flV7b8Jrv/NYv/5+VHtP98/tf/8/JYR+8/rD42v9Pas2n8bOPx1BtOw7vtw +Rfr189+WddJV99UUHvb9/CA7/rHDTjzjOTkH8GnZKXfs+vCEyD1JqHf9P3at +mLYx3r/Re5F2/NsuPXpMU+RbfE0U2ONlbmw+4P7//OAfp571icQp/rS7zwf8 +6cczf3f1togHKYqth3aAj849B1xw+5X3CHzRb77b+oVgVvCrI5f3u/b9F2T9 +iPSb1wcNv+TYhcEPX1/ed61zS4Kry71eRPl2Xe+MnFK1WPJR78sPz/++6iu+ +72hpMOHK/DOnnqX3H0377Mf2on0qgj9ssvZWhyxfKft3tt5S9e/sUfDi5gdO +Enq+MWeHS4dc/lGw+awPhwe3zZH17R9ya3+5T/Mn8t3DJXu+cutF74f4mh2s +c972n72VnSN4Rz7qQS/Azjg7tCtgZ0AvLA/tjFGhXYF1HfQC7AzYFXz/DOwM +2BV8Hw3sjM9Du4LvpxkS2hmwK/i+GtgZsCv4/pozQzvj9dCuODa0M6AXYGfA +roCdgfkQdhrsMhufMDOYkHnire0Wq11u97cLg4Hrd+6404MLgoXT7537TGqB +rDu3HTLgozlHlgRnvTVp+qDbiyVFPux42PWw42HXp5f5ddn9/fw6befQvkmF +dv1hoR0Pu977JeqDyWf7dRrsHdj1sONh1w8M12XLwnUa7B/Y9bDjYddPCddl +t4frNNhDsOuHhXY87PrDw3XZRuE6DfYR7HrY8bDrl4brsvHhOu2a0F4qCe16 +2PGw6y8p9Osy7y9W+wl2Pex42PXe75EN5o316zTYU7DrYcfDrh8drsvOCNdp +x7p9hKpg3fbV+wqaIv8qZzfVB791dlSdpMh/8qjVdlJTcMKtq+0mTZF/rhtP +S3CwG4+myO9w/W8Nil3/NUX+T/1W9zcd1L6xur+aIr+vo3d7kHN2T5ukyH/Z +0TcbrsM1Rf4+jp6dwaaOnpoi/yi377M0WBCUfPvOCyWSIh92urc79f4yL396 +PtzzkZ4P93yC+7VSIR/o+XBPZz0f7umo58O9fskF13+zmg7VweC9VtOlSlLk +P+HoUB8c7+iiKfI9HZpDumiKfE+HlpAumiLf06E1pIumyN/E0SET5B1d0pIi +f+dzVtOhh88/W00XTZHv/SDZYDNHF02Rf8LLq+WrM9jlsNXypSnyEW/P/mLk +H+H0TSnFf5QGGaePSkN5rQ32dHpUz9t7/5qet/fyr+ftvZ2p5+29/KbC9Whb +0OXkU++P9Hajnrf380JO+oF+IcU6B3wHPkSKdST4kM/T9w3XkeBLu17UdST4 +lM/DYx0JvgUfY914eLiOBB/zeXasI8HXfF4d60jwOZ9HxzoS68QHwnWjXx/r +OQ7QDXQE3UBH0A10BN1AR9ANdATdQEfQDXQE3ex7lX36gO+KBj3X960zp4v9 +s8+rN65oO3WB7IdgX3Prl8oz731SJCnyK4srb31z52cP+8ucsiG1Z94ePJBZ +1ndu6WXBo/t9VHH7r+8LjnhlxK/ybfcGuy5vPepvJz8i+x6XuXF0BX0dPfj8 +bFdQ6sbdJd+hHeSj3tjEq49+fyTipZbI+rzvwhO2++auj4NLBt5wZuvB8+Tc +wKgJPz1Yvv+HAqMevkM+viva8+f9K74tCfbb59jSXw8uFj/4l4f/uOnrV78R +vJD5/b33NE0J1yGTgqVfXNN5QfWrAqMevkM+vvN27MJwfbQouPS51ftMej7L ++6fUj+7loTz0n5eH+wLR81XIRz3kj5i32j/QAz+02j9QHu7TlIf7NuXBrles +9kOXBw3Pr7ZXyijuS89NDe1bFxw14J1g4NiTNzxzCz1/dc7rMyd82P+doPjV +pjGPjNbzV6iH75CPODLYeRg38AC8IP+r1rueu7Enf8jlWzxS02MH7v3IQbvf +/ALi4pYHbd9u1tx023I6h708OPz0e469etvlIb+soPdFl0s7qIf8nUN59uvN +fLDI2ZHR81mQc9TDd5ADyAXsXOATfAw5gFwhrgByueH5jVNfmrtUyvtOnXf4 +k0uXyfqm/MLHh249c3lwt9vP65L9wQITP5SXfNS7bJ9vhp7csULqoR20i/W7 +3bdcInLHcsVysFG539d6KNznuqkuOaxg9zeD63tm642PfTu43O2/zA9Sbv9F +U+Tvvd3oKx8/a0EwbXz2lt9sWyh8CT4FHfy8WSFyArnB+gPr5dOvfCBTt1Gp +jHdEuH5D+c3Tt+o7+MUKwfMT4foN5c+6OLRaiRvD+g3lc1wc2ir5Hus3lPs4 +LY2fw/oN5fe6OKEk/X5ayjdzcWgat4T1G8pfd3FoGkeG9RvKfRyaxpFh/Yby +T10cWk7KgSfgDfnAE/AAvKCc8cDj5nHyuHgc3G/0E34A9D/h4vzKpV6Viwur +IHxXS/11XdxflYzjWxd3WEv4bZD6u+/weeGTt9cLXrZ3cYg6TqwHUX+SG0ez +1J/o4s4UD1gPov7BbpwtFJeWlDgyrAdR38cNtkp5kYtbUzxiPYj6Fzk9kJbx ++ri2DPFru9TvcnRrp/hOpcOP4XoQ9e9xdM1Kf3ycY06+x3rQ8rPGMfZ3cXrR ++D/QFfX2cHRYGaEzxgW6Wv6tkfqgM8pBV5Tf5Phb4wlBZ9QHXVFe7OigMNOZ +6Xqho0OL4InpDLqivqeD0hV0xnhBVytfSlfQucC01x5MC+HNHR3aKX61Q/oD +uqL8NTd+pSvTmel6iBu/0hV0RvkxLl63XOyso07t/Orla8rk96908bpVwf5h ++eXP3LNtxw8a7/uoiw+tl/IxTZsG+z2u8b5vu3jRJikv+O1rf7pzUBPFc7YE +B4TlrQdvt6ilVunnx9cq5bdfdPnZv9pF6dPXjSct5RuOfqvtP0akZXwvOX5o +l/Lxk74e9Yd324R++zr6Z6V/e5cE/f7yk8qZj0ft0dNh+YKuB1/6xwmdgrcC +wtMUwgvjgcfN4+RxTaVxFFC/36R+ov4PO87beJv1CoJTbr7iiJE7TgteXfLb +gTNK5gVlzo6bH4x3cRQLgm1dXMWCoKtg9fcaP9t/Sjh/nN06ZpfPlgfFl63+ +fS1HO2i3aMFqvtZy+K+L9+43Ze1dnhf4nhsfOTxV9n5w6oyNSxffO1nsrOp9 +N/rmkcYHBB7y42mjHtzwY/kO+Y8UX5N54NFPgtSAU8aevfsSye++Zo99vm6d +JfC8xXMu7ffsQoFfevn1B2fvUhysfdniu4746pPg6pFdXS8uWCz5u956386/ +KrpT4JfDdO9+g3ZadOf0YEIINw484LwvL1sg8N+zn12w+JIX5bv/fOm4q89+ +ZU5wwVn/uDWVeF3yg+VPn7r1oR8J/OVhN607ZstZAh8/9KKSYXsvlHaRrvfY +GU8dt/dYqTfs7HeO7df/3WDlp8mnKwcVB9tst8kBW3bNDHYd3X7+pFH/kHpj +D5p3yjE/viz1kH/TEXdnB765UPKrXipIbv9CoZQ/M3bAgMuOXBI8Xv3g88tW +92Otxj1ebz1Ryjd98NfffFUxOSgPv39105XV6z39qpQ/11b96Ev7fSzll721 +792TN/8wuHP/z6/6+b4npd2txqyz+/LJ78t3w+e/cXDR4g+0X8MmXTTy9k8E +D0+E303c4uW5Jw14SuA5u++z1kH93hN419989OleBYsEbhyyzY0nlRUI3Gf1 +cAbOD2bNGDPitSmzJX/na6+85/KR+t16Qx7o2u/VGTKOF1Mfzbtt/belv6dN +SR+159cLpL8zN97ikKHp+VKOcX7w+/UvPPPLomDW49M3faiwSNpffmTh8YM3 +0n59d8zUdw9cPk/g51y8ainFq1YKPze5+MXaYEoIr+viFxul/hYunjAh8Gsu +XlXjan28alrWJZ+6+MU2ae8CF7/YId/nXPxiTr7f1cVHatzqyS4+slrKr3Px +tw1SXuza1/ha334LxUdq/KSPj8xI/7Z042kX/8hkN56s9G9/N568xL3Wrvfw +9gNvKRX++eG07X936XqVQp+dnpt2xdRna6X8uMRRD3+xe6PA+z999Tk7XJyQ ++p/Mmdl+9OSklJ/b+P0dV3anBG5f+7hNHjmkLXghhO/6zWMvTx/dId9vckr1 +vpUlOYFH7LFy2uEfliu/3HLFyjGnVUt70z/85pvlzfUCd7r2mwX27bfI9/1d ++60Cv3LjTp98u0VG9Ni+bjztAi9248lKe+e48XQK/K77/ZUCe3zWSPsen6uk +fID7fe3fRPf7iq8D3O+nghcNPrV//vfbpX2Pz5x8f7cbb17guhNqHjz20pUi +Lz89cc1bj35RLXI3uO6HsqoxDao3njzh+/6PNEv5gbOfeHT/yhYpX1xXu+N5 +O6QEPv/nnWfedWVG4OwuI46dOL09+HsI33Xiu1VF32alvU2u++mq7NH54LEQ +HuT4q0z1u+OvKoGvdvSvI/o3EX8lBM46fLQKfIfDR1pgT/82ae8lh/+s4NvT +X+l74i6Pf73jwDIZ34gRg7a7emqlwI+/+04w8/A6Gd+7Px13+ffLG4MnQzjn +8JGQ+nc7fCQF7u/wkSb8twm8r8N/h+CryOG/U8p3cfSrEPh4199a6u8qgZe4 +77U/5zr6JaX/vr8p6m+G6Nch8Cuuvzmpf5Drbz54KoSfdPgpl3KPnyrBT43j +z3op/8HxZ5O0P8D9XovAr7rfa5X6+7vfS0t7nj/baXxZwV+HG5/iD3r2MXd+ +YKXAM915jRq1u9x5jVV67sGdH1A93d/F7+u88bI7P5ASPe3PD6ie9ucHVE8P +d+cV9BxEuzuvkBc+/WCHeX/pW6Vy0nTlGc8Pv0rlpM+M5McTvlM52fW7vyQz +jzQJ/PqgdR94rn+L6pnjT93qo3NVThZf88wbiVfSUv+8x5sOXT/bFrwCuXrn +t8v22D8r5ffU3PTH0+/qFPj3x2ywwT47Vkh7Nzzy/J6jZqgefKpyzzMWHqN6 +8ELXfrOU51z7SYHvc+3rvLHpjx98dktRRvWmG08HjUf14BI3HsXf9a4/pQKP +c/3Ree59h1+d5+odfnWe8+PVeW5z1x/t72uuP4o/3582wq/21+NX++vpp/Pc +YEe/aoFPdPhtEPgg134zjVfpe4FrX+nr8ZsRPXe3G0874Tcr88yrbjx5kbtV +u64zZPdRKwXuc8PTZ97ct0bkaPD7v7lt7gSdR17rs+rU0c81C3zgrrs1T0ro +PLLkpBtuLtnjX+aR699ft/uWTPC3EM6PW+vZLT5SOb77vZN3P2R91TMDGp6a +e9HpeYGfeqqx9Znh5SLn7zXcuGFzpor6r3rmHtee9m9T157271XX/9bgUdN/ +1TNFrv/t1H/VMznXf9UzHl+lhC/V2yeu9cH4dff5F7198inzT124ivCVkPFc +4H5P5xH/eynp311ufG2EL9Xbfny63wZ/V9mO62x76/gng2nheVGknH/EnCe2 +fmxRQTAm9+nAtafPlvOlDaE//sU9/jVutzuynwy/N2DEKQGGXxsw/NiA4bcG +DD+1/T4tMPzQtr0Ogfldce7v7DBeDvshiE9Dinzg55n5G6x4d8v5Qdnd+Uv/ +XjFP8IP6wAv8AKNLfdw46jFeH37woeFP3Yl3CouDoW4/COc/qsJ4Z33/Y4zb +x9b3Pvy+td4f5vep9T0Pvy+t73f4fWh9r8PvO+Pe/Wy4z5wN95M7w32lTokH +RBwi4gwRd4jx8Llk4CnuXgHAiBNE3CD4kPE+jfCG73HuHOfQce4c59Bx7hzn +0MHH4Gvs2yEu0I+3OCjbLZSf3f41XrJY4vIQp4dzzjj37O2rLpFLyOuFTr67 +gpqaow8sH1Yi5UjxnY930PdffJyCvveyt9vP1/dd/LkKfc/Fx6/r+xv+XIS+ +t/FHtw+u77P4cwH6noaPP9f3M3COEOPHuUScU1zo9if1PRukyAcfYzxIMU6c +O0P8Is5pIW4XfI/xIwVecE4N8Y0414U4X8gJ8IUUeMS5NsQ/4hwY4oIhV/a9 +kxbBO87BIT4S58YQRww5tO+htAqdcG4O5+hwzgxxx5Bb+15KWuiKc3aIr8S5 +NMQpQ87teyptwgc4l4f4S5xjQ1wz9IJ9byUrfINzfDjXh3NvOAcHPQK9Ar4C +n+HcH+I3cU4OcdM4J4dzc56/lgajdrjw5nUXLA33hUsi77sgH/WQDz0LvYv3 +Xnx8fXW4r14l+XjvZYqLt20I+Ybf0WkOMg4PzWF8TZPk472XkW6cLWG8jb4D +g/dePJ1bw/gbfQcG7714OmZCuuk7MHjvxdOpPeQ/fQcG7734eFvIt74Dg/de +PB/kQ/7Rd2AQR499eZxLRPyzx5e+D+Pxo+/D+DgpfR/Gj1/fY/Hj1fdYfLyR +vg/jx6PvsXj50PdYQCfQDXREPuL+oU9w7s6+v1ovdAWdkY9zAtAnOIeH+FzQ +GXQHHyAf5wqgT3AuD/G64APwBfgE+TiHAH2Cc3qI3wWfgG/AR8jHuQXoE5zb +mx3G84KPwFfgM+TjnAP0Cc7xIb4XfAa+Ax8iH+cioE9wrg/xvuBD8CX4FPk4 +R4FzFTjnh/hf8Cn4FnyMfJy7gD7BuT/EA+NeB6zr4UfFPRWen/S9Ic8f+t6Q +H5++N+T1vfK3p4fyt8evvjfk8aX87ccffW8IcZo45wV7G/2CHB4WnqNDHLq/ +J6Um6Hb3pmiKfIwDcotzdohDGOXinFeF58gaJEU+xg05xzk8xCX4e1aaw3O+ +miIfeIJewDk9xCn4c77J8NyvpsgHXqFHcI4PcQv+nFkqPHemKfJBB+gdnPND +HMNYFy+eCe9D0RT5oBv01AbhOUDEuftzaB3hubR2SZEPOkOv4Zwg4t79vQK5 +8JyapsgfEp4bRJzDMEfX0uAzR2dNke/pUhHGzVYI/4DPce4P5wDBH+B7nPPD +uT/QH3KAc3045wf6Qi5wjg/n+kA/yAnO7eEcH+gDucE5PZzbA/4hRziXh3N6 +wC/kCufwcC4P98jhXjncI4d75XCPHO6Vwz504dbjv/hp8iJJkY975nDvHO5Z +w71rOxVNvOuqh24Jvn7mxEe7u8cEv8v9+Mbhhz8o57ruc/cJdQUXuvuEuoJR +Dm94J7NLvkM7+A7t4Du0g+/QDuZtrFtH/Pi3JV+/uEzWIVgfe/2h97ei/rsh +PMTZUXpfOr7DPUO4dwj3DOHeIdwzhHuHcM8Q7h3CPUO4dwj3DOHeIdwzhHuH +cM8Q7h3CPUO4d2jt/9xu1C13fRzUHX3mpcd0fygp8uvD9dzyL3adP6/rw2Cj +MO4Rft+6Ca+tePGqN4JHD99swhGnvS4p8rE+HjlhzgUHnvp6MNXZR/r+wRPX +HFZ5zUYLg13WeTmxdk8+4kgRV4r3DgqmPjX+1oumCzz20uNf+3Tm1OCHMG5x +tTStjmPkev48mr4HiRT59U992YPnlcGTJxT24F3fQZjg7CBNkS/1wu/8uWxd +1+GeDZynQj7qzU58PTRx7rvBE9P3Gjij5J2QX2YHC4buUn75ee9KinzUw3eI +40Vc7/2bzj38u57x9t/8seF7ZGcEU6fWLNnsuLflvnXgFXgG3kGHn+b065Hf +FcE1g1bLr76LgLhc5KMe/AGI6/V2RT7sbz7Y1d1XVhHUu/vKVkoq+SEeBzq7 +sQe/Tg6qg8OcXGiKfD/v6nuTXr82hPpVU+Sf5exMfX/S69vm8F4yTZHv51V9 +j/KvTs5aguFO7jRFvp9H9X1Kf+9NKrznolVS5Hu7EXZka3ieLBPKrabI9/Nk +Rt6v9OfJ2sPzZJoi38+LsBPbQ/2dDfW3psj39NL3Lf15snyoFzRFvj9vjPsK +8uF9KmXhfSqaIt/TFe9Olck8innVn7urDPZx96tUSYp8Lyf6zq+fn+vC+VlT +5Pv29d3fgc7+agzv4WuSFPl+Htd3gP25u0SoHzVFvre3cK9HIsRPa4gfTZHv +53l9J9ifu0sH3Y7fNEX+rW7e0feh/Lm7tuB+x2+aIn9DZwe0hfZTW3j/Ukdo +F2QlRf7zzi7Q94X/4vitM7QTNEW+v2ehMzy/0hlMq5kw+HcDEBfbFZ5PqAnP +J2iKfL/Oq4683+n9WDVBm5vXVgVj3DzXICny/T0f+m4nUu/HWhXOg82hfaQp +8r18Rt/v9PH8zcE2Dj/JIOPw0yIp8r2dq+8NIfXr1GQw1eErFZ4H1RT5Xn71 +3c5xYerXqalQbjOhHGuKfC/PeGdVU79OzYTrgvZQrjVFvpdvfbdzdph6Pu4I +Lnb8mgv2dPyqKfL9uVacI85JmnJ8nRM9D73v7+3Kh/d4aYp8f/40H/K7psj3 +55Oj7+X4dW0+vJ+sNOSPMkmR7/kC91jpu6HeT1oq93rgno+Nnb6qDO81qwz9 +F5XyLg9S7wepDO/ZrAv1U22on+rknTKk853fozY4y+mnxnAd2bMOcPpJ3xlF +6s8zN4Z0TwQbO7wlwvWhvieK1PMF9FMy1E9YD7bKu2azwtTTJxnqp3Son9Kh +fkrLO2fHh6mnO9Z9beG9aW0hHfQ90bow9XSDfuoI9VNHuE7R90SR+nuKOoIt +nJx1Bgknd7lgvJOrzuAHh8ecpBc5OcwJPUAn0A10BJ1QD/QAnUA30BF0Qj3Q +A3QC3UBH0An1QA/QCXQDHUEn+y6g0gl0Ax1BJ9ANdAGdQDfQEXQC3UAX0Al0 +Ax1BJ9AN9ACdQDfQEXRCPdADdALdQEfQCfVw7rA6PIcIO/SIFQ17jZ80M3jl +oOqe9eOsYIsD1+1ZP86UFPl4h8fbl4XhvQELg2HuHoFCSZF/tqNTefClo1u5 +nGPEfiPsYtjJ6Af6VRqeY9ooPNeE30U/9nV8Uxq86M51r5AU+Svc98uDDd33 +yyRFPta9uGfY3vOxVNaFvO7Eu1vYH7tuTmKz+SuWBee5+J4u2Xe3cd+6T4v3 +u9A+YJxTQzw4fgffzQ5hfLfq78/dO35sicbTmXq6zsW6d/jwEZc/NHGerLOw +TsN6DO2gXbvfrOP9aVDl+dtlVkTG4eMSNJ4O63Ks0x8z8Qt5WbdiHct432Th +PrXLBi8Nxly69ZyzB+vvMt4Bo33QAfuWKMc6F+te9A/7mn4fdb7wF+5txP0a +fj9mvpx/xT2Onl8XyL0bvv1CucfRw+XhvqHa21g3ef9UjayLljl7rEHWPd7/ +0Szrmo2dfmgJ+5EKXnTyj/fgM8Hezp7B++Ltof8I+2TZ0C+ek3WD12eY38vC +dXWZ2Pn+PpBKseP9OOrETvf+20Z5t8TrzYTY2V4vJsWOPsTpvbS8Q+L1WpvY +wRc7PQG/cmfwmbPbOkWPQK/4fvC7h6VyXsrnl5Icl5KcV0h9nE+1cllJclsr +9X3/aykOpFbqXxv6H1Ef59ZtXEgjtZ+g+4sSdE9uQurDP4n6OPdu+5Ok/uh5 +OJyLt3ErKan/Q+i/RH2cm7f9b5P6j4X+TNTHuXob99Ih9QeF/k3Ux7l7GxeT +i8S39EbX3ug4guh2LdGtNzr1Rpfe6NAb3p8gPD9GeO4Nr3F4hB4Cvr1eLyc9 +Xy7t4Nwg5jGcH7ZxQxX0fRXxbzXhqVq+xzlDtO/pWEN0rqHv64l/6wmP9fI9 +n0vE/RmWT1bJ9z+E+5z2nrFmKQeM7/kco+9eM83D+j3ez7X6qYX4uEW+x7lH +2/8k9V/5DPuklr6tRJ9W+Z7PSeL+D8vnKeKjNOnLDMlZRr7nc5W4P8TKiX7v +56N24p92on+7fI9zmDiXKfeQGDnT732cRpb0ZZbkNCvf49ymPV+eIznNkR7p +JP7sJP7slO9xzhP8j/tQLP/n9fvd/2u5tXylchknt5bOUTm1dK4lPo3KqcV7 +VC7tvLmK+CYql4Dj5ND2L0H4iMqh7W9U7izfJal/Ubmz7UflzI43RfiNyplt +PypXaA/zsuXbqFzZ9qNyZOf1DqJXVI5s+1G5QXuY1+38GZUb235UTqweyxO9 +VE4gN/ncTVMrt/g4uCN/7ML1etY5SJHv44HwftvHkiJ/tbfwsmcnB6u9hYUz +pkqK/KF9n97std/iHvcpkiLfzhsqn9hvsvG5eo7n9y7euozGW0X8XkXyUCXf +X+/isyuJf+uJH+uIX+vk+3EuXr2O+KuJ+KWJ+KlJ1lvvu/h2vdcD85ylZ4Lo +naB4cbV7MY9Z/mkl/tF4+PtcfHkr2ZEcb50m+ylN8eg6r2EesvOe2l+A5ZyU +i1/Xe0Uwz+B73P+I73HvtJwbcuvhDtIXKg+IL8T3gPG9j//vjLz7Fcd3aBfv +gKF+HJ+hPt4FKzD2TpSvUB/vhL1p7IsoH6E+vxsWxzeoj3fE7H0ZUT4R/wS9 +KxbHF6jP74zF8QHq87tjxxPdwQeoj3fI0P84OqM+7sXCOxPwQ8AvAT8E7v30 +erIrmJb1+0Ro19dTvvB+BV0f4b1JS9dG0v9MlyThnfHKeOsgedBxe7/HSoH9 +Po+uG/y4Ggjm+V7taMRTWb7j+ZLnuyyNR+cb+BnOCM9LbHi0vxcK8xTqrfOG +v0cK9zIMDv1u8MM9dqf3C/ab8q/2fRf1sytYHMb9I64D9/DinmDk8z3E8j5Q +eG8dzvPh3jqU455inMvGvb+4Fxj1cC8w4g1xzzF+D/ca833HfE8E7n349ZZ/ +/pd10czIvRM+f6LU43si7PeFUo57Jqz926cPynGPhf1+ovwu7rFAub1fepy0 +i3sx8B3q4Tvce8HvLXE7nm9mk32ziObfAhrP/F6/A17RH9zbbfFbKOW4x/tt +6u/s0H+MtLd+AcY7Y+ArvDMGfOCdMbw79u++MwYY74zh3TG8M4ZzrnhnjN/x +Aox3vDB+vONVYNpvlvHgHS+U4x0vvOuFd7wQl4t3vPCuV2/veP3fOgds3xHT +99BwDhj4ijsHDBh62sbd6ToS719Y/mwmvlI7EXra8peuc64N9bS1K3U+hZ6W +/oTv8mF8O9K7fEH4Lh/Gg3f5UI53+ey56FahP97lQ/nd4bt89h23rLzTh3f5 +UI55+Jd27tDSq4Low/5uXsezX5T9oOz3zFB/2a+ZI35R+vI6i9dNvA7COQb2 +x7H/jP1d7J+y7WeJPxV/kCO8Wwe+iXu3DvXxbh34EO/WgY/j3q1Dfbxbh3fq +8G4dfg/v1uF7vLuI8rh3F237zcLHeHfRtq/3DeDdRYwP7y5CbvDuIurj3UW0 +h3t13jL9qZR7b3CvDurH3auD73Gvju1PWtrDvTr4Hvfq4Hvcq4P+4l4dlONe +HZTjXh2U416dt0370Xt1phv6ZQRfuFcH/cO9OqAH7tUBH/7S9fQvXY75HPYv +RS/Crv37wHXP3mSvmYFPC+W+XFteGDQOXv++p48pEXwDBr59vXKBUQ78oxzw +nB3GZM94X98lRH3QB/UBoz5gX7+e4BKhJ74HjO8B43vA6/zHX7eqXd5E5SXC +D2gPMNoDjPYAoz37fQvVL5HzZWgfMNoHjPYBo337fYvAk8Yv2mn6za30fUm4 +r94uvwcYvwcYvwcYv2e/bxEYv2fbS1N7JXKeDb8PGL8PGL8PGL9vv28RGL9v +20sLvPSV42Z/8WMbtV8i8or+AEZ/AKM/gNEf+32LwOiPbS8tMPpj288SXCLx +TugfYPQPMPoHGP2z37cIjP7Z9tICo3+2/azA3ZOLfn/QQ53UfmHwTN952/xz +wExJkf/3C7ZMbb6/6o33X5u84UVFqicaOg8ZMulc1QN9Dlp6ZleHyvVmR719 +2AtHqly+dvk/l83/q8rRgQ/97pJUqfL5krce/nzDbZXvzi9f+cCQPyndc19v +v/VZbyqe79vuz1Nu+6pLYKTo9/uXPjPqnHmq5xqm/vall89Qvdbnyw8WtidV +b42bsNt/bnOY6qHBC29Y/8gHVI/Mzrz/3GXLVO5P7Lt2D8VULuuG/v6jgj+q +nIwY/vfTS99QPl1r1KrEl591Ccx4RT76verKrQeMP1n17lozpuzf2qB6dbMf +X3zzmYNUT742KHPk3HtVzx14/NCypk9VLy25ZuSf1t1c9cb5jxd+9dsLVY5z +72z84KmvqxzdVzNs25vzXQIz3RmvqId+r339c683Vqref8rRRfX4rvdefNvB +d6kefs/hQfXmSZ92j7+vv+q1eve7qmeu2+z++cWvqJyv7fivS2DmS6Y741Xa +Cfu9+QeP/PrJoTrP9GS+/e5InScOWmfHo+sKVa9/+purKn7aWPXuBafM+PMu +w1UPdt743T9PmKB6aPTTx/xtRKZLYJYb5kumO+MV7aDfux1xatu+t+o85vlK +552Txzb1vXMDnRc8HVVPX7/ipn0+eV715DoOb10Cs1yz3DBfMt0Zr2gX/T54 +fr93KubqvFjcevZx366r89aFG75c/evTdB7J79V+9dHPqh6//8x9f/hzc5fA +rHdYrllumC+Z7oxX/A76/ftjlt9161o6r3q50HnuhkcumTjvKZ1n1nV82CUw +60XWOyzXLDfMl0x3xit+F/2+uOixEweeoPNwd0d13eFP6Dw4pv+g6y6t7RKY +9TbrRdY7LNcsN8yXTHfGK/qBft940uk9oqDz9PpOrrsE5nmF9TbrRdY7LNcs +N8yXTHfGK/qFfo9d2r/xgvIumbd53uN5hfU260XWOyzXLDfMl0x39He9EK/o +J/qNdRTPz8jHugr5WFcBxrrKlidonZKk+ilal2QExroKMNZVdl2Uj/T3l95P +nAOF3VYf7ksgRT7GAb4RfR3mox0ef324LwX/JfLhv7TruDpaJzXSuBM07iSN +O03jVr0C/yVg+C+5n2vu/0qB4Q+x68UGoncz4buF6Jsi+mZonO00ziyNMx9g +HT8u3I9CinzwGeQaKfIt39VLinzwIeQeKfLBl9ADSJEPPoVeQIp88C30BFLk +g4+hN5Ai3/J1VlLkg8+hV5Ay/4Mvf6l0Zn78pcgN+EjmvZBvLJ8lhK/AF+Aj +8AH4BnQHn4DO4AvQFXxg6ZgN6Vcg/G/9WywfhdJfsYvC/lq/VZLGlxIY/QWM +/gJGf62fLB/Rn3F4/J/p10zZbwYdrRzUixyAjpAD0BFyADpCDkBHyAHoCDkA +XDh6nYahv1f4M2ffKLzl/tf8PGZn1QuZkqf7jFrVLnxg5SgbVJxYeUDNswqv +4+wNhX/z3h7Fv7lK9ci3T155/qA9cqIvIIeA05tMfvyeVtUnW3527o33bqfl +hx6a/funbync99xDZi25VfFr+bRQ9sGR2nlY60GuLd0TRPck0T1NdG8TGHIN +GHINGPOh5ddCiSNYmb6vx1LT/r0zcqcv7v9G+3ftpbV/Sy/S/v04ZucdNt5E +13mPT712+t7naP8GrZh19LCXtX/vfPFjxe3t2r/jBp5w5Yv7av96mOLbBXd0 +kVyoH4H9xuz3ZT8t+1HZr8l+Rfbj9eY3A54eO3zlRmfcp/rpg+FnHPm7V2cL +3DQhednDB6jdNXPMFXs/v/l7wj/w08f55e18E/Wz23kj6ve280jUjww4zq8q +3zv6qb5rcOs4pdc1me+nfFaueu49tw5W/jnB0Vv55zq3rlK41tFf+f3nkavX +MUniP9WLTzo/SJr4UfltF+d3aCP+VP57163zO4hfVY+e4NbVyp8PD7vo/rvm +6HyTHHtex0U/TiW5Vz+vt0MWSDnmebuvUReZX+2+SlJgzAtWHjIC2/m1SuYF +wJgX7L5EY2Q+t3ZjSmC7LqmndUk92W/1NJ/X0zjUrrh6j36HfFO7SvQf2xOA +8fuA8fuA8fuA8fuA4/BcNGfFkJ0OVLuG7ZzjLzj364mHJEgft9C83ELzcgvN +yy00L7fE0vncxoELjr0nGUuXmnteeXDxaLW72A47Z9Aefzh5bFLmC7a/AKN/ +gNE/wHF817H2ZWddvSQVyyfXvNaxba4kFUvH9uNuabl+hdqJbDde7fRISuY3 +thcBW35Ox8rFnb8pSD26aVssH/+wZL+3BmzZFstnd1zz4X8+NbAtlu7fb3zc +4Vtt3yZ4Y7v3jreWrfOPHdtkfmZ7F3CcHG9yype3zTy/I1buHuu8Mzjg4o5Y +uej3+Hq/ev/Sjlg+fXToY8sPvaIjlk/6lW/1zEdXqd3Odvwjt7x00VEjOmj9 +nY3VQy/feMRG1a/mYvXGTpsVlZ03ORcr1y+9c9o/GqbmYuVsx+HVl/xxWi6W +z1/6+o+/bZmRi+WrHZ5r67r8XV2X8DrlxUNuei/zfrxePeDpsS98n8vH6sFZ +B/a//O7ufKye2r/m2f9Y68t8rN7wdlk+Vm73227KB+t/n4+Vk5kf7jP6oZ/y +sXy4z8UfnNR3bfXn8bpsxs9Hb/r4el3Bzg7P6j+6wfk5dX47LjFqi2knqL/i +75WfF22wm853V123w5IfmtVfMaf+lgtPmaHzUdEPzR/teoTOB3nnV1W4unDm +1sseUn28lvNbKtz+4AM3/WeV+is2v+2Ox/62u+rD7047u2S7XVS/7PbdYeft +dYPCG235210X3qDyeuhdP+yyYpbC29d/e/c1H+o645Q+H/V0UeG7nd5plvEW +O7+8zjsDnFzrPHCh84PrPDDRyYnq4bzzO6se3t/xmeq9e52fV/Wen9d0X8Dv +E6le8fOMyqnfl1G+9npe/d4HuX0Q5fPHnd7RfSe/D6jz1CAnx7rPc73zk+s8 +8Y6TA91X8ftyqpePc/Ou7mOMc/taqveq3Tyo+waD3T6S6pGr3Tykfnq/rxq1 +R6rXWzSp/AmFvT9+VfCK0zO6L9Xl+E/nsf2cnOo+0H3Oj67zxieOf3Xfxe/D +ddA8rfscft8rR/Ok7isc7PaZovZMHJ9hnD+6+a1Z4JPdflAimOn0SJrkR+e1 +YydcPeaNo3Sf6CmX6rxR5eRP92V2dft0qoevcvO47oPMceuBqP0TJwfobxyf +AQ/93fym68CL3H5RMlgUfH7KfxzbTvKv89rZlx/WdPqjuo/0ukt1nmhz+kP3 +bQ5x+3hR+yhOTnuTA/Q3js+Ap52cntV1rdezqaDS8W2W9JfOY1c6u1r3mT5w +adReitMjvclpb3KA/sbxGfC4r5uvVC/f5/abMkHa+YF0X+wwp3+j9lKcnutN +j/Qmp73JAfobx2fA8zFuHlS/g58He9fDvem53vRIb3Lamxygv3F8BjoMm3zK +9cP/rn6Uyee+8+TUa3ufR3rT073pwd70TG9y3JucYDxxfIh5/s/OjlG7d66z +Y/Ky/wB7yMcxqL1U6+ii5fDLAvb78upH/tGtM2oi/mb+nVVuf7z33+V61zo8 +qv02y8mtxiF5ua2O9Bd09XECau/94OyrGoHXdvvGWt/uv9SH+9xqD+7o7Cst +935dheGnBl8Uu7gGtQ8nOr2q5ZOcXDST3a37XB4faj96O7uF+Eph+MHBV11u +X1/hT5xeULjExVUoDL85+M7jR+EqJ3cKN7q4BoXZz74V+dHToR89zg//Ofnh +2c/+W/Kj/zP0o8f54dclPzz72Q8jP/rGoR89zg+/FfnhwS9spwHeya3btNzu +56ndI+tONy9rOfgB/HFhaEfYdZmWg/48LwM+zs0bCoPePM8BPsfpYYVB3zXP +G+ngKqe3tBz0Az3fCPUw4Nu7G8dN2C1H+675iN4C/LfZ03PH3aIwx3HDbwaY +47Thx7Ly3krzgq5nOG4afhvAHOcMvwhgjkOGnwEwxwVjnc79Zz+b3SdTOw5+ +LsAc5w2/EmCOy4bfBjDHTcMPApjjmOFH4P6xn43jzNmvxXHh7DfiuG32w3Ac +Nfsx4uLc4TcDzHHp8EsB5rhx+HkAcxw3/CTcPvu1OO6c/UQcB85+lri4dfiR +AHMcOfwwXM5+GMDYR/BxOR8JXL38m7OSr+v+0s0L9/xq2t1avm7bX/66cvE8 +ga/54qj0r7pQPjPUe5ME9vtZGnfi97O03O9n6b6838+aHPzk6Kn7nXH7nthn +xDuFvN/F+yNs7/A+CuyWx5wfso70SaPAHHcf9zuPO76rI72gMH7H+8F0P9LG +ZdRH4vpl34n2fbHPavWIwvidDifPat9gP4LPCQBG+7yvjH1c659XGL/j5VPX +nXb/uSVyLgHt87613Sduieyj4He8POo6EP5/PucAGO3zvjj2oa0/O01yD/lU +fx/884D5XAXa53137HNbf3Ib6YG2YIiTZ52f4S/ncxpW3qP7+thHRz3eV8Dv +HDX4kVffOU3XJdj/B4z2OE4A+/Kox359tIv2OB6V5bpz3h8W/WmB7hNzHAL2 +/dEOt3t2x0U/nj9e68f5nfF754//1b7B7fr7XS6etys2HzDkO85vDXmM81tD +fuL81uD3OL81+DPObw1+ivNbg/5xfmvQL85vPfSVkppNN1S8X3L/XXM2O6or +Em8XV+94Z+/qetX7SVSvYp8XeH3fpaqfsc9q/WQKnxvuawKv9zo/k8LYN7R+ +GtVX2Iezfg6FsY8FvPr+KfxCuO9j4xcVnh7uiwCvzS5VGHFYmDf9+SqdZ318 +gZYjLgfz5n8dR6LnO/3PLBXYr5sVvsmtszWud5Djh6X/9ncs54DZr+75VNdn +7Jfezfm1FGa/rvf7KMx+0d87f4nSn/2KF7lzArq+Yr/cjW49qTD7tR5wce4K +s9/nmXGJg9bZMU/6tbCXuJHyXuXm/+9xNXFxRVjvI9+fo1A8DHL013Ibt1ge +nOR+R/Gwi+uHllv/T8+85H43Sf3ScrveB55TRAeFsd63eM8QXRTGet/SoYPo +pOVY71u65IhuCts48x4+cnTKEx2j8azsl+zNL9ib35LpWuPmQ7WPvX/636f7 +T27cCu/q8PLv88UTDi8thLd/n292dr/XSv359/lqlvu9NPXn3+e7493vtVN/ +/n2+rHG/l6X+/Pt8e437vU7qT+98jXXdf5fveuOj3viiNzr3Rrfe6NAbXnvD +E+Yja5cUBn3cQv4UgSeuni6velLg57/cv8cCfEXg0avN1d2firQTVw9wb3Gz +sIP8emB8rJ3k59PnKZ5O9xn8eUCFeR/C2ykaD4/7igH7878K70b7EN85v7jG +z3s86D7DFm4/MX4fYoCzczTe3qNR9xm8H0xhv58Tvy/h9aPG63t9pud1XnZ+ +LYX9+dTW2H0K7+dqFbsI9xEDnuH8WLo+8ftA8fsWxzq7S88L4D5ie15T4eHO +DtPzALhvGLDfN1L4SmeXZWV9gvuEAY925xEVHrlf96DX9sor/5u/6cJnuD8V +9q2ns8ZnezzruR3cbwoY95cCxv2kgHH/KGDcLwoY94kCxv2ggL0/UddT3j+t +66c7nb9X/cOer3R95P2duh6a7trT9c98t3+k/ooqt/+j6xus09kf4PlZz33i +PQbAeI/B4qWR8Jig+knCa4q+byO8dhBecZ5M4+09vSvod6tpHDX0u/U0rlXE +H3yerJna4/NlSarfSv1JUX0+f5ah+nwerZ3q8/m0HNVXOuKebcC2n/+Lx/8u +HvGuE+57ZXwiH/WQDz3k8TFa9I+143Q/Dn5WG1es+2vWT1lF/s8q8fsBhl+O +24d+secO6+ncYT2dO6wnv2I9+Se1PRsHrPtVaA8w2gOM9vh76DvrV20hP2gL ++Sm1PvQj6gNGfS6H/rT4U9jOg9WEX7U72K5gO4HneZ6neZ7leZTnSayrbJyz +7o9iXWPPIWjcF9YVNi5e98dg10t/3Hyl8+sTbn9U51e/36nzq9+f1fn1rtZ/ +nP3gRqoH+m+YbHvzLJX7V/ba846yF3R+3e/Mv/T7OqXzxCe3fvzStnurHJ/j +/MX/co+Ts4sPFzn09u2TAou8O7+Wznfer6Wwj0PQcfo4hFKCK6i+zpfeL6qw +95syXEv1Ffbxb4pHbyfUEryK6ut8PNvFZyns97EVXuzwqPP1Be7+D4U7nd9d +4fMcnhlOUn2F73H3XSicdX5HhlNUX+FN3X06ygeebxhuo/oKv+rut1HY8xnD +HVRf4QPcfTMKe75kOEf1FV7s7n9RvvR8nAvlhe+RUtjHzep5eC9PWu75VPnO +8/G/zONO3vR7f48It8f3Qum87+NGFfbyq7Dnc+VDLwc11J8a6m8NtVdPv6ew +j5vU8/4+PkNhLyfK916OVlF/Gqi/Wn634xu1SzZ3fKPw644PFN7U8YnCnzq6 +qhwc4Oiq5a86vlD4IMcXCg9w7bX8n3aunjWKKIqC2FkohIAKooaAjVilsZoi +URat7BJILEQlaPADCw0GQQMiFkklRCGiET+bhGCjRZYESaOorGCzCu6aZN1s +siL+AeGduXOcM4wX0glbDTczeffuvPfuvHfOPU/8VeX5qrRHG/OU8wjz+LvE +U5V4eX8qtLck/pbk+WVpj/cxz3kfeWBZ4lmWeGl3hfZWxF9Nnq9Je7SRJ2gj +j9QknprES3sxtFcXf3V5vi7t0UaeYR5AHlqVeOoSL+3e0F5D/DXk+Ya0Rxt5 +inkGeWxN4lmTeGmvhvbWxd+6PN+U9mhjvNDGeGpKPLRxzlh2P9LKg6082MqD +rTz4v+ZBnGfygfkk1BXQPhvwTfLwr0P9yft4HDWl34kv9Id++Cn9nsUfNtrO +RuNO8lSqXu5tVAh5h/ukCyEv0cZ+kfsenPPKvIvvAPc5+A7QRp7mvgV5mvtJ +jIuK9GNF+m1J+pU2xg3nIcYVbazzuW/AOp821vUc91j3c5xiv8px1Rf6hbae +263ncus523pOtp5rredO6znQeg6zxyMBz5jN8D26z8b/Xc/dd4NXGk1sratB +vSn5I8X1UT/LelbUy07n/t1sizu8tr/O+dA6WNSlzGd5KOGVlCfyeB+Px/F4 +GeVZlEdRniRZHwgPoriN8iKK4yhPoriO8iaK8yiPoriP8iqKAynPoriQ8i6K +EykPo7iR8jKKI7Xy2sbymvJIHo6mPJOHmykP5eFkylN5uJjyWB4OpjyXh3sp +D+bhXMqTebiW8mgejmU8W7qfs7iVrj+UZ8rb96luIU+XYHZaF0ZdouoU94U6 +RdtPlYWPKkd7RJeI+lny/8ZP5ekQUcdIvt/4KrNVd4jvB+uDjb/K0xmizpHn +8xmflacrRN1jTXSA/C6MhrpH8u9pfqsR3Ql1j2ui06Nu71n71KbHJ5sZ3cq/ +dSkLCa+YrlcpZf6O87Z5TdY7Dg7v4eweju7h5B4O7uHcHo7t4dQeDu3hzHbN +w2U8nVCeLnhv0ENwfqnutyfoC77m6nqhK+P8Ud0udJecL6rLhc6S80N1t9BV +cj4MB90k6+ehi+R4vz9y4/B6senqsJB3sutCs6Fr4H17X8gPrE/CfC6LDpXv +A/mB9T94nvU7mN8rSbvmx9pN571vwu8xL1m7aX6P600bB1gPzyRXXT+j/nk+ +KsTX9H7A6jtL0ZnnX0pdB5iXRvZPTn6+xPXq2PTA4JVX2fVqb/eJ33c3v0vi +blvtP3jsON/P3KGJvluP+H6GHn4aLv5YiY486Ng185Txml+Lw/xaHObX4jja +c3pr206+3+Kpjt72J3y/97rPf9yyg+93dxyXxbkYx2Vxnovjsjjtd9nvND9X +C/Brfi4Owa/5uR37vby9MtA5rvl1Vn73QvRm7tr4y8H56Fd81f652flicdtY +KfoDvXPTDA== + "], {{ + {RGBColor[ + 0.10372206117797761`, 0.10436141743811188`, 0.10500994850363238`], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFUjsvbGEU3Zi5CnPMuc4cnJnTqLRIUHlG4ZncaCQy03gk93oWGImCn4JC +KDzHf9AQj1DdwqsjwV+w1qwvUXxZ69vf/vZj7d00tTy+VGlm4zhVOGsJsyLI +OoxzEfgvs3/Afc/sMaU3S5odJ344fXg/rzG7gE8J9ig2GwVvBBZgfwJvgH0G +/AN8rEL/GZO5+L5eJR/yPk93D/FXETvLmpCnx+VmneXcsHfWmnXg5PGnH6eY +0N8CeK8nf8ZoTyrXVTVqq5bPUEp2vrOWfI183sFnwUcqXG7Y7k2xGLPoahtM +6W9dLP4beIOzGZj9B96irlyoWo59xAr1P4u3MfjngCXYo1C1h7gPw14PDGLV +lwEe4hzg/Qg4H0mLBWAuJ91j4CviTGageVI6U2PW/Az7REYzfInU+3Ok/smp ++WrW7BJ8JSs9yKkxc1Ivaspz5XSjLtTnAfHv0ONgRvrTVnB2ask6WAP1yzvO +fNwR+rD2kps7++ZMmZdzLrjZdafNlgLZFgNpyrdW2JcD7dkdemxGDRucTR12 +LK18nB3nU87vaU/Yx4Dj1Iqxu9KK/wX8TKuHNuBWoDn9Ae752t1t4A7OW0p+ +Da6XhUB/6D8dah6MzzydLle764/1/IX/qa9d516c+NoN7sKZr33YBY4G2kfG +GXD7/YY9aEG/17H88s4eh5pH+R7Lfw34DbjyeGI= + "]], PolygonBox[CompressedData[" +1:eJwlkrtOlFEUhZcwYCG/M8yFcZi/MbGHhliBQihQIBgbEgIheOPiAAnOJaEg +oeEdNBZaGCkAFV/AykYD4QUAYyUJ+Ap8K7s4yb6vvdY+d5+tP11rk9THy/Bq +FanVKR3gLGEfpVJ/UbqXk8rYoz3Szy7p+y2pWpUus9Lb29IL/FneHWomyD/o +kN6XsQvSdl56Se6C+DAxkXuMXaL2DIxyO3U3pT/Y3cTGyCXU/KB2hPeb3G4i +7Rmfec18YJ1S96ZX+kV+gPodat/hr7DTFnXH1J9XYrZneNZf8vVMYOTT4Giu +TTivYL+i7xyun8FrstcY3Be6pftwnCW2XIlaczAXczRXa/aaXJ2ZTeaNuj+N +3ucldOmIGRvlsCfB7yU/yK6rYM4lMWeD/RqZ4FTH/sAu4+THb0j/6PmEP4U/ +iX+Jn1bjFtbQWs6wb60Q840zD+YS/jDzz4hdZSNme46+njRuYUxjF/EfdYVG +1sq3fVIILN/4G/hpKbQY4U0X4ya+hTX7Sn4Rv9UemLYPc1HrWCMNbbybtagy +64D8wyQ0MNePufgr5uyb+rbeqUDvfhp/wRpb6y+5uJlv5Rn+a/+zwc1/bp3c +UDa09b+0dif0bCah4TUFeF8o + "]], + PolygonBox[{{7195, 3149, 4991, 3946, 6810}, {7191, 4132, 3889, + 3148, 7193}}]}]}, + {RGBColor[0.16675207, 0.1782183925, 0.1898492575], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJw1lktsVGUUx087HW46nWkLtL29t1cTXSk7hYUaURGjiZhgXNUo1JjpY6ZI +gRZDNMakCQ/Fhbps3Ipg242xkBZLi5r4CPGxARMx0BQ3uhJEd+r/l3NcfPnO +fN/5zuN//ufcuevlief2t5rZT1olrbU2s51ls4b2PZ1mW3rMmjWzuW6z3l6z +RySvSr5P52OSvy/M/k7MZnKz3yTfr/MftC/obSr9vdK5IP17dT4iuVNyTetY +h85Ts6p8rWhf1/uOdrMevT2t+z69fVj61yQ/q7enJK9LfkHyY3pzj/Y3NpuN +63xrl9kByburZv16d1a+h2ruc7nb/T7a5e95+2avx0ds1zKzXYq/GDC7qPvX +Zaeh8xuSX9T7HdI/qLM1/T6ywaze63ecg8dst2OCz6d63O/Pymeb7q+mjgv4 +DCivVGuXYvxO+2HZWhLGp7SuVMwua9W1PtH7m9Kf1/kf2r/Qel/ypsLxAafZ +itdnoUU+q16zZpvnA2Zzku+W7p+J2+ddRWtSclZy3V/0dkq2vpXOIe3HN6kW +yuWo6pLofkbraovLxPVpi+uh36dYprR2ytd84bU60+2+68LqY8nbJWeRL3kT +85FW9zuWef77tFcV11zFc9kq3x1l931LfoYrHsNrsrkim6M15+Pn3c7Jh4T5 +g1HrrxPHgtwGVEuV257oc56tVT1vcCHGoZLbrod97on3JZ2/pTenFduEYqu1 +e45lvZtTDuek+3jqPvENBy7qfLvkVe0PaB8MXlFzuPlX4vqDNa8pv4n9duK8 +pIeo05dameyNSmdM66NWx4T4iR3c6BVi7y85dxa1Pmxzv3uj7nBxKHy9V7jf +d7WPKJ8p5TWq/XiHYwnGr2TO65WIHx16hJ3f2CQnZM6xTT7YP9Hh8REbNZyN +OpLPSMXtI8MBeNgrH2d1vyN1nhEH+OeFY3wodVxOhE1qhB1y3Fw4f49J587C +e/0O7eO5Y7dP+4HceXAw954ajrfENRf8q0evwWewvF51PAcjL2pK3ecrzk0w +vhx22K+EzJujET+z4fkex7ER/v7HZD78Dsdb/MMvuD4T+ZDXZO61A1d4yB29 +gB84SEzngqvcwwlybUZPc18NHXzyG7/M8m0xz1flS9e2Ubg9nbj+QtSDujQy +x4O88Fuq+Nx4p9XnL3dgdr7svEBuq/hMIAfmFPw9Kf0f5eNX4fJ74Tbaww54 +soM/c253EvmUfdZwTu/QJ3Di1ZgzUxEzfUFvY5O5Rj4fpM6v/sL7Cb7Bu1w2 +v0q8nyZyl/dr/ybx3IiD2T/d7rbJgzuwwD46k9FnnKPPIhdyJF/mMzmj2xb6 +SzF/iQmbnPOempSDD3Cf/oA/IzED+N0es5q84D7n8K2Zu69G7jOIOl/P/B5f +6MCdm4Ens6cZ84c6Twc38E2PwU/0wB/+EBe63C8X/h26UDhX4WISs+t26MxH +T2F7JHrtVsSyFHPpRub21zPPHxzBdjEwQoabefATLjfi2wT3nwn+z0S/gdWT +qu2lmJF8p5kVxFQOzsMZ5uT5mJXYHotvJWeTG5y7nF2KOUssfI+Ihx5fDB7C +yWbiuRPbWsRHvblDh35O4lvJHf7wBU9OBs+nozfhGDOOGA8L22Z8B/kekms1 +8h3PnDvwejjzmOvaOwvPv6uI/qi4LTiMbfqCfJCJ4UzqMb+tb9py6ph+lnpc +o5HjWvz/4X/Qv5nn+0/mMXMOZ+BvKTj8HwW8UOk= + "]], PolygonBox[CompressedData[" +1:eJwllDlMFXEQxkflScyDx8J7sOyyFsYEbT0qIx4hQIEJxArjAeF6HHIFMJ6x +UtRGLS3UjoBCY6ExCoiaaIzxKtUoeBSWaoyd+vucYpJv5j87xzczu659aO/g +SjNrRgqQfGQ2ttpsBqUDvITcWWHWWGi2DP6MNIF/IBtCs3NlZpnA7GwajFRj +u5cyK0LmwXUVZluwTxHzPDhIzBqKzJ7y/XBsVoH+DHybHOWJ51TuUfy7wLPY +aou9hhnwJ2zRKq/hC3gQKcS/D/0vOKnyWkvopQrcG3nsceL1gQ9Hjif5ph88 +FHltiqFYOXKk15AfPQs+TI2PiZdH7wF3Rl6belSvU8gecBqZAw9nzXaSfBd6 +E312oM/Azw56aKPueWLeAs8S7yL4FO8HM9SGrR8pxUa5/2soAx/jfZ7vu3n7 +SR0NObP2UrNtfNOK7WrouTSzbmqrw3+CmZyB8yXyt6N/5PtJfFvJfyLrM9Os +erG9Jccb3n8T+yW4jbid+NTwtsz314i/m/hHiT+g3tGjlHPSDx9j6DH6VuRd +6LE25rwXxdwH7qDemozH2IS+Hp9GYvfgU89OPIeLevQM+SsTn43eI/DaxHlU +j+r1Av7LBb5D2qUiYt0l9kTae74f+iy0c9q95pxzIi7EwY3AZ6JZqMfpwDkS +N9vRiwPnQL1rp1+RYzMxqrEn4IXE+1A/i4nPULNs4dvL4EuJY3Em7gbgqIf3 +J3AxBB6MHYszcVeSeO/yka9uSrelHZnj7SS1LQY+q1/YqxLnNYV/nPhOajcf +YesDj8a+u7qpMfCfyG9DM9PsemP3/Y5cAY/Efou6Kd3WeOKxdXNHwNf5pjbl +nE+DFwLfSe1iHp+Hgdeo2rTDLxKfnWb8Dbwf7vLMvyXjM9TudpY7P9rhA7yP +ZJ1T2eR7mvdDxf7N+9B3SzWoFs36eNZza+YLof9rdIO6xTnyPgh8t3QzN8GV +5X4rusEP+HShf8X+mvpC8FTgs1fOf5mPp8I= + "]], + PolygonBox[{{7196, 4134, 3891, 3151, 7198}, {7360, 3645, 4451, + 5477, 6110}}]}]}, + {RGBColor[0.21125345, 0.2303639875, 0.2497487625], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNnHecFFXWhrtnhtjTNdNNVw9QLZJBQQUTORoAc85pVwRzQl1zXHPOCcxZ +V91d4xoxYVhzRBRzWCMIKEj63mfe48/vj5r79qlbt27dcPKdHn89ZJuD63K5 +3P7tcrl6lc8WcrmrirncrfrRqBsddfUTvUPgvjmXHYLeXmXboLcJ3Ed4RV5/ +hL/LmdYm6nSJtjoHned/Er46y+V+0buvUXmlrvn0Q+Wmul4R3kzl9+pXu6jP +s+3iXaPybof2L1W9n1X/MpV50ep09c75ffShRWVFZVnXajmXpcAL1X4n4YXC +Y/Ou90edStDB1Omfc9v56MPovMerX4xPIfrTEH3oE/Xroz/fFo1/EB6Zd70/ +6jQE/aei25knfC7fr+86T+X5un4QvkDl9boWCd+gcpXGXG6K5m0fXQvU5i+6 +vtSz03TvE9U5QuWRuj4VPkrlCbq+FD5R5QG65ggfqPI4XV8IH6/yIF0fCR+s +8jf1p0X9+VVtHqW2NxHOVPbTvUdVp7/KXroeFu6tMtX9muqurmtV/X5Q9O4q +9xC9Wmf62ERzo+vFoutXY8y3V703VH8HlffpWi58v8p/6loh/C/eqatO3/wf +3sl8Cz+i8kZdv6rOTSpP1/Wt8Bkqb9e1RPgOlXfq+l34LpWn6fpG+O8qt9X1 +uvB2KjfX9V/hLTJ/B/0TzO2tP++LPlnlrrreFt5N5e663hHeQ+U+uj4QnqJy +op6bpKtr3t+XxrfTFmuvq8r6ai63dqpx1+93m3O54ZVcbpeYx480NkOi/Djw +KNX7UHgT4d91LdHVS+3MLboe867mWulqKjdM5WJdPYUXqfxVV4+cy98CLw56 +z3ju98CfFF3n66i/OPCyqMN75xTdn4J+r6e+vSc8UXilrq+Eh7MWVX6u61vV +X5o3HhblF4G/Kbo+fOO7ovcJe4H304+h0d7X0SZ7iDojhGer/EBXB+FhdcaT +hD8r+tmv41s+jXYGq847whPybuN/0Q79oX/fBh9bGd8IP+M3+xc+wt7XtLU+ +k4t93UnXfP0uqzyCvcv7g8Z+7C48RmVz8BBo82P85+u9TaL/kvP9JOrATxqD +D0ArBp11A+4S9OZ4thjP9gt6U+CF0QfexRjyXYwzY7Ew6Mznsvj24YF7BX1p +rAfGYHmMA+WKqMPaWBR1KrHOOsU3LgxeNEaL/nnti7GZ1+mCoFNnQYxPKfgz +38hanxf0jfTMi3p2Y5Ub6JolvKHKEZnl1kj2ZdFrr52eOb7gfTcw53Ji4OEq +R+h6VPiR+A3mGl1n2sioc3fOa2hk4Beizqyc70NnzUMbE/TT9P4NGPe8y3GB +xwSmDuX4wHdHH+4KOs+UVH9stEm/Nonfj8Z7RwW+QNeawhfCY1X20LVj4O66 +lgu/rP6sIrwUnlNnPClwLej/LfpZ6rOPR8V3DVC5hq5TRO9W53Zp/5R478kq +3yq6Tr3q7xD1qDMp8MSc+7JqvHd83r/BfN/YGB94Y0vwf/Yue7hD7L/hscZm +ao7bis8/o/IpXW2En1a5Tp35zoyc8bp1XgOs2WGxJrm3vujTg58MjTW/s941 +VWvl8QbrFMhjZPFtbdUWe1V4c+lH6wl3E96vYy63r67F7cx/RsReYP0OibXK +Glwv+nBXvJd5HlLn7wKvpXKQrjZ548Exj/CkwUHn99p1nmeeHRpjsnHezzIP +06POjJiTtaKdQYGpAy8eGnUohwTeS/TOwgOij0Oib4zfOnV/vn+dqA+vXDfo +h+W9pz5l3ea9lkbkfHUVHq5yzzrL+766f3jez3ws+tNF62zobo8XzT9HRHvI +Sdp8oWi9C13stA4a1w6ehyeL1pGYp+eK5nvw1KPiXegngzr63bx3X11T6V/e +PHmKyt3y7t+n0d9niuax6HG0sWe085+ieSDrb1jOfee5E9FJ2Rs560KbRruT +dU0Q7sx+LRivqjp/izpZ9IVn6c/z+p65ur+KrgFax4/pmYGsZ9a38LoqHyia +B7K2Hiqal7J2HylaFrO+74hvR6/YSOXGuqqsKz3/hNoZlLmfR9ZZHrHPjopv +3CNwNfbz6rFmKAcEHhh4Gu3n/RsMbWDs/X4q++vKB14t6rxRNIbeU2UvXfvk +zBe6Bh+gzALXAjMv8BGega9MDsyz06J/h6vcMO/3Qu8d7fMcJb9Xst60Hu7Q +/l5fde9r8F7+KOdxZU3sFmNzRIwP5ZExp2MKHs+S6AfnPb7v5UzbKOh96/zN +9GuDvN9LH/oHnb4N0RzMVFtDM/etT9D3ief5vsMD085rRdeh/7e3NT+CF8Gj +sIVY/68Uzd/h4ZtI4as0SV/Q920unAoXhH+QMF5dnVyJjiO8TPr2ROmW3wj3 +E32Z6GOFO6j+HqJ/KbxUdTYWvk14nvBg4ZuEfxJeS3h7KThHJx7H7YQ/aTKv +nCL8qfC6wttK+L+e2E44Q/Q6dX6avv8WtfOz6IPUzg3CPwqvKfyT8HLqC/8q +PEh9a6PfO+tbuqjNJn3L2aL/qnZmqs87iN5Z9ET0M0RfKPpTop8m/IvwE8In +0GfhR4XnC6+hNuvUJsrx+sIF4aWiryPcXrij6COFS8JthIcJJ8J1wnm9axv1 +bTnKjfBW6OfCK3R/M+HFwiuFtxCeLvy98EDh64R/EF5D+Arhb4VXE35VuKva +/1l9e1t4FeFfhGcJtwj/INxL791IuKueeVD0pGRd+RPhXsKLhR8TLpWsE88W +7i68qGiZXku8Hpf8P71sechS7IMnZNjsyH5tsT6LHKuGzsA7kdW7qs4A/d5F +5Uw1UClZV15VDWxQsv3WT3hCye+7T3UKJevZJ2nej0m8745lHDQXD4t+lfD/ +RF9d43CN8HfCA4SHqJ0t9Wxv/V5HeHPhnqw54U2Fu1NPeJJwN+E79Wz7ku2i +CaJ30rx00Ho4T/TFetezov+N9oUfRC9Tne1Vf3U9O0J4a+G+wmOEtxXun3iP +Xqm6t6g/W4leVZuNanNb4RbhYoN1JNpAL5siBfxO0WZoDJvYs4mfRQegbWRv +s3C/xH6VEvxQ+LZ66zm8Ex3zJbVxuPb4DnnrCENC1iOX7wo5D0/gu+F5jcyB +8I315rGMDbz52pzr36mrLPoA0W9XnSI6nvBNwkuxHYV/xybT+PzOs+xr7dm8 +xupwxkDf2174GOGrhTsIHyv8nOovYvxU/xHhBcJDhLfRXG9dtjzLsyfYZ7ou +U51vVPZXnfY5206ssY9EX8L6FF2ivdVHw72X2eOij+K7hH9jfhhP5lR4nPCT +7HfhYcIJ+0T45nrroqwX9KODNC93aUyvU6O7iDZS1+ZttDZztp2wmzpLLowQ +/YkG3wfzDPrD6MR6QAH9WfiGes/Ri7puR1eM72Af/VV/alobZdF3E+4q3Cy8 +p3AmXBI+XmPzm/Be6kDbeI79eCHjr7F9Xu+5BP4sPAtbNmcfAepRY2D6vZv6 +smvi/r2pmxsmnn90D/SOOTnbXui22F8rdG9T1VletG7J3kKPe539kHhNvapr +fGKegUwZl5gHvK1ro8Tj+lLR/hp8NfNDz8XOPRkZoT4/VrQNPjHxun5X18aJ +34ldNiHxnsBXMCnxHkLHuaLouUNPubzo9YluMCx0rVafXNE6HuWiwNjL8Et0 +tl+LvoePDnt3ftDnFe1Hmxc6Dz6ssaEv1CfWScoqK4ntnVRlS2J7BLskDdyU +WCZ0CFuwHPU7JcbsX9prE21WEz8Lf8CHRx/QdRcUo9+h5/wespv9CEaPplwW +dPTb54t/+gSeC7yD2l5StP5G2z9H+602X9F2HPMOhodT97eoT7k4xoH9iTxc +GbpTLnA+9i6ygzZWRpsrtRC7sKfrvQ7g/fS5IfH3bxjrijVFO+gE6C3v0n4H +6zFtkeNV6zIbVb1OWCPYO6+G3OJd2JSsO/YytsCsmF9sghcCY8u+HN+4R959 +oj/bJV6vn+dcvhgYG5f2+a71ErfDOKBn0Wf6z55iPzGP6K3gP3Tetol13XaJ +MXTK9kFvTKwvYPc1J143f9heTbF+sMs6JP5eykLgjol/873sO76dNn8sWt/7 +Sf3vqDJTnevrTUNHGBk2WWO8t5gYt9pqidcM++VAlQfrWtLONtEpMSb4xfsE +710zsV0xLOwL9Cb8ZovjNxhbDZsN39HCsEnw4ayV2F7CVlojMR07BfsJOj4l +/MSXFs1L99Y6GIKMFD5UusUw4UNUTmkw7if6NP0eIXx4zf7ji4tee9hrz8a+ +5j0PRx94z2PxrkGJ+4ldiQ2F/P8sdP4HAmNvXVa0DMUvdXXRchnf0jVFy03s +TfRK/JCDE//+w2f/ZNB5zxMxJgMTt4+9hk35TPTzyHp/y84q10lMh0dhC8+M ++cUmfjrw2okx+7opbFP8eDto/saIPlnt9NCe2rFombWa9uaFRY9fKnxR0e/s +J3y+8F6i9xe+oOix7yt8nvDuDbbLPw1+21P0s0TfWvQewmcKb9lgv2K/kJtT +ND4HFe0DIZ7TN+R3d9U/Q/QtGuznXi33p5/7D58lMvXU4EW9VP9s4e1Uv7fw +OcI7CvcRPld4lwbfW0O4h77lL1oHa/EtKvfXtZ7wfioPqnktHahyZ+Rj0TJ9 +j5qf3b3m76d+n3q/g3Z61vsdg4V7ocPnbOMje+Anu+e9R2hrl6J9RMQ3Lil6 +DzJ26wj3Fp5cczt7q5xaM31KzTwEPoFNB5+Bx+wTvAg+hJ34P/T31O0NlVAd +IL54mNpcX3g14UOYR+GuVdtNA4VXrdruGCu8jvBbjJNw96ptkDHCawu/Ifo3 +av/L1N89SvRBor8q/J3o36Qem9GiDxb9NeFxwusKvyM8Xng94feEv1X9r1KP +2TDRB4p+OLab6N+L/qPoq4u+StU25trCfYR3Eh4k3Et4O+HBwr2FdxD+GVtH +z/6kZ1d2sYw4WOW6qtNPdQ5SnQHC3aq2DdcT7i98sPBawj2rtstWE65Vbbf2 +F86qtlvnq/2f1P48tT9P+Efhn4XXVJ0eVdtx6wj3FT5Q+EfV+U51fsB2xtZJ +vaeGq84aqjNNdQrCK0R/UnPYSbit6EvrrBAtx06QnrkS2xr7QXiF8FJscuEl +wr8KNwsvF/4du124j57tXLUtvAhbUPSFem9P0dOq7aMewpWq7aZVhctV69UL +VH+e6v+i+t1F71S1jVkRbifcILxMdZZgI+ldjaKvFJ6pPhfLVmRfEf4a+zL1 +nhsh+pqiH6FnRwqvVTU/GSK8uvChyCDV/zYNfiJ6l6r9A72FW6q2eRdjj6pO +k977m/BC4UQ4UZ286ryND0W4Qfh7+KV4ysx21hN+Vf0Fqr9IuLnsOBkxsib8 +CcJz0MWE2wgvwPcjXK2G3V30moJvzE5ty2HH3Sz6ggbLnVuKHmNkDbFQ5mds +veOrzOGGwt3Ei3ZCZtZ7XbI+D1H5k+gtunbHN1L02MNbri96fcFbiLUyt6OF +N8OGTS1j8f/0DB/Rvl39zQeqvFHPzm8wP7mh6DULXyIGy7yNFO7c6PHYTbgl +bztBVVvjmYtF37TecdHfhbfEPhJeLrx9vX3nS4W3Fu4ovAy7tt7x0t+EJ9U7 +Dv+r8IR6x1qX4E8SvhWdrsHyC//X+7r0s9Un9l7YAsgl5NNU1fldc/ebvrek +flf1ru9VeVfRy8IrhHesd4y0rPvD6x07pe7Qesd+2R/rC/+m+r8VzAd+FV5Q +8D79ILWfCx/XYr6rYJ6wRHhlwTyzvfrzP+EZ9Ef0+kav2y313BapdZZd1c9t +UusLu5R8Dzq0rYO+Qs91avReQK6OCNm6Rd7jwPcv0/1Co/nhUpXtGs3Ddy55 +7pl31nWatz78udbQFvp9mOb9F9aS8H71jjmzV9atd7yLvbJ2vePY8JLx8Af0 +cF0HCO8EX0+tL8xJ7RfDJ7ab3rt9ap3lw9T+C3wX0LYL+nK10dRonvZRal8b +frY99OyuqfWU3Ut+B+1D2yXov+C7Sr1eu2nyS1WvjVWEm6ue30TftAzfA2OC +vyr1fM8oWlZ0Zy5Uf3zVa/Qd1XlTda4R/dLw0eBDeVv0N4SvFv0bjdt2avdb +lXPU948azHuJL3ULH/KF4T/CF/C+6nzQYN4CLxyfmh9emdgfhB/n3UbLty/C +1zwhZxt0C/VtXNX75D314W3Vn47vTvjl1L6L14RfSe0/eV34v8KXs4aFXxW+ +grUq/K7wdcyv8Eup/RjvCr8lfK3wm8KvCV8p/Irwi6n9Hu8Lv5N6DW+u/oyt +eg9vJbxB1XvpLdV5XXWuwpfC2Bb8rpdFn5Xal/JKo2U+MmuSaBNT6+k7lfwb +fGHN+uSTNfPj9VOP2xMyDl7Ws3eo3LuL/VRTu5j3zM45P+LyxH40/FkP615n +zdEjKqcXLUtXVR8+Vh/mNnj86zqK/3d0DGS38FvgU7g4sR8QP8XbjdZB5kRM +oGvEBQ7SnnlBzzXpxa83WsdBfr3ZaD0ImbJ9YjsQO2e26B82WEa8n9pXjp98 +R337xql1dsqNAr+X2p+ILxHZMjz1s682Wj9CbqLXfhDfPqvBtu6HOfvxt895 +HTW0eA/cq3GYXXK7tHkttgL7RuNwROiZ6N+H5M1PGYsdE9v56Mqbaa7HVM3T +NxYeVvU4ThAeXjVvfU7tz0wts54XfoZ9iv0i/FhqvvqE8H9S89XHhR9NzWee +FX46NW95WPiB1DLoGeGnUsvEB4T/mVqe/lP43tT9/7fw/an38gvCzwqvJ/y0 +8BOpZdZTwo+n5vMzhZ9MLRMfFP5Xaln5kPC/U8u7R4QfTC1Pu+gbG6uWZZ2F +C1XLoxbhjlXLu6pwh6rlV024qWp511W4WLW8S4XbVy3XFqr9+an1gEz0pGo5 ++Jjoj6Tmt48KP5RaT7hC+HbhF8k3En44tc7wlfDnqW2lDdTO+lXzmi9F/yy1 +3fRxap8g/kD8W/hh8XFhdzaG7TmnZHmGLNtU7YyuWu5uIjyqarn+Ucl6DDrM +JyXza3j1pyW/g/Y/LpnXw+cn6dmRVcv1L/DHp7bLPix5D7D+N1KdoVXz0A2F +h1S9Tz5Tnbmp/ZafC3+S2rc5UXVGVK0fzC1Z3iBrXhJ+IbVP+EXh51P7ZvGj +4xPHH36l6HekjpleLnxb6nwMbKmOYU/hGyiEf4A8RPzm+Mynq/4/0IcbbZeX +wza/VvR7mEfRZwk/l9oXfbXwXcLfNNq/iI8YH+NVot8p+kuNtvVLYe9fI/rd +on8r+r+E70vNr/BrbR6+rT1E2z21T+V01blC+OiC4+fE0bEdr6lZtl2rcnrN +OuiM8F3gt0BXv6VmffFWlTfUrOfdWLOfk7wX/FrX1axHXl9zbLYl4rPXq50T +Iq/lyLx5B/FyYsvEmIlX4mftG75W/ED4hvAF3VSzfnmzyml5x+O74J+rWSe+ +XeUdNevEd9bsV+4evmV8wD3DD4yPCh8Wfir8u73Dx8sY9Q/7Fp/YwLB7iVeS +r4lP46qa5cHVNfs58YGOC/2xIXRI/KXkPM0L/zV0qQy5u2rWQe+u2R9CbhO+ +UHzVXcNffRw6oK591OYNKk+KOP11BccuiMcXdS/R9TD+nLx/k9eDvxafLz7b +GQXHPYjxkqdDXg45Oegd6Pvk5pEnVIx2RgefxreBb5x+43+/p2r5NKhmnzz+ +fuJwV1QtjweKvlXeMhRZMifGADmI/ES/e6LO/vLVw2eOHxF/In5FfO39w99O +jid6E7KeuATxCeIt5DOig8CTyaVFN0EuHJq3vCFm0BJ1icPsnXefsC3ICUXn +Yl9rubfGLWgXnzd+cPzeB+atB5NvcEXNsu1Klafq2UMLXpeVmEOeJ3cSPQX+ +QO4k+g579saq5euaNcciahGPwA/dO3wlg2Mtk39C7IA9jY1JzA4eg+1MLhg8 +Azt0jVinp+QcU6O/5Lfg34N/4B/AV4Yuj4+iFDo+fomtwpfLHuoQej1+hm0j +RsB6KYbujE9j64gRMD/bREyBcdoyfLzsG3yM8Bt8OPge4f3Y9exv/ND4y+AD ++Gv7x17A/9c3/FHslRHh98bn3ZrH1Wi7gdg9MRRkC/bv/qzXvNc4ukpj2In4 +7zrmHAf7Pmwj9NifQ2dEj+0a93kGfxe8GX8C/lt4M/6HLWPe63Pmy/BUeBK8 +GDkJj1kv1im5Q5tHfAQ+sTzsM/xXm0UMgnnGh4mvBVmzJOw5fD74LfExII8W +hS2If2l+2IL4fIhlERvFj0/+Mjo1+nPnWNd8M3m+6O/o3sQ/ibPAh4iPtcY4 +ivaX4g9DnuLPRGais40K3kDeXTW+Hb51strct+B9cFDsHT6nJTD7+hTd37/g +PcdzW4bd2CZsRHxQW0QcAd6ZDzsVPx5+WvyCTeGPRadAdtPX7rEO8NmigxTC +j4qfrxh+VHx1yGh8rfh10B8erlpXXrvm3AD2dq+ccwDgBcQD/iYZd5Zu7Kd+ +Hy58mvBhwtOE/546l+MI4dOFDxI+UviM1Pkyk4WngPUtRwmfmTofCtr9iel7 +if6X1HGYY4XPFT5EdY4WPlv4gIJ1kD1DD0EH+WvoITy3Vzw7t8Vx3af1Lefr +2etS8/0pwiem1qPnMSbtnB+PrCQXKgsZyDpFDzmwYNwlLu59HP4N+KSaa/3+ +v8Wz+4hwfGo7A7kLnVwvvuHIkMvw4eUxvuRZkafVN+4dETr/7oHRiyiPDPz3 +ovtJnOI8vWtG6ucuEL4+9bo7V3h6ap3gBOELUq/F44TPS50De7zw+alz1k4U +vjD1WjxF+JLU33qq8KWp+fVJwhel/t7T9Oey1N8F83gp5MffRb88dZ5Anehv +Bh8/o+S8AWTnmcJXpd4rxG2IHaID5YVfDZl0supcnFpmn1VyngFy+mzha1LL +pouEb0wtTy4UviH1fmqjdj4OmXeO6Nemlv8N2Hshty4W/abU8vwy4VtT6wXt +VOer4AVtiQUFvzhGdc5JvRYea3CuWPsGy2XWAbL5EtW5ObVOcUjYodijl4p+ +S2odrV5tvhty7rBYS6yxzrGWaO+A4AfQ3s8sez7InJtKLjWxttczy5g3VL4l +BvamrsGUmf16b6l8KbMv7+XM+a7kahP/mpVZbr2YWQ7cH3rPwsx8ZBHnJDLz +jt84f5OZ3y3gDE2cJ5nHuZPMMuYHlbMz++8+VLk4M09ZwlmKzHxnqcplmfnO +8swxI2QJsqwUNjMyrqFmXt9GZV3N/L2+ZmMa/puved+wf3rnHKOEjyMHiTch +w4hFPVO1j2Bd1V+RmVeu5PxK1Tb/cNE/ySzjP1X5U9U+o5Gif1C1b2io8KtV ++4DWhx9W7acYLbxnyXo/Ov9nmf2Yn2fW97sEf/hjDyOXiS3iy2jV3zo6Pkds +7svw9eHzuz/k8vM554LuHvt9cNDRKfcLefKHnDkw5Cxr59DgRbybtUXMjrzZ +w2KNkZN4cNTZKmQS+uXk6Bt7mZxq8vaJV77SYN8OPgz6skd8C/bMXvGNB4VO +PSDa3DtkHPr05GiTtifH2qbuXlGfcp8YryOD906Jb90/xoH4PO/9PMZyauCv +Mvu7v86sx0+NsaLcN+qcXDSuxfdNif7g98H/Qx3iM6NT+wk7hX6Gbta+SeNb +sU7fTniziv3qc5ulUwifrjbair5Jxb5rYhGbV+x//0h1Nqj4vFVH1dm64pjs +x6JvWLEP/GT4ccn5OvhpNq3YV/Oe6oyouI9Ptjjnq2+Lc7zOzznf+4gW856D +tYHeUf1hFX8rudjkZKMDDxDtgE6Od96nPjzXyXyC50/KOZ93oOo82+z4P/ng +5IifIvoY0UdXfF7hw2bngKJDzm72PehzhMdXLIu6aT9sobmoqTxc9IZOtk1m +1pw79RT7WPQrxST/rXb6CV9R9jhspr49Lbyt9sDtou+gZ+c3Wo/YqZN1iX+L +vl8n5+PfEf7Gp1S+IPo6FecubKF2ni07xnCK6j7f7Dj0mzXrAOgC/xBtm4pj +EfR9XPSfcxOcs0D/J1ePnL1Vas4PY49eRKxYdR9odqwX+44cOnLpponWppP9 +2Ne3WDZ81OI5GRrzQi40OcnTYtwPyzmfdz02YmobAF/Uyor9UcQeySVF9xtM +rKTivBLiuuSVohuvKfovFfsh8Hstqtj3RYyXfFP0Q+7fkbjOuqq/rOJcEtq7 +M3Gb+M9+r9iHxv27Etc5O3HuJrYWsbjVU/tOz0+cc4n9T0x+rYjLw5D7pva1 +nps4FxOde6ze25w67wmf3LyK/XLE9teI+P7aJefaouMypuQpst7XKjnftzV3 +Sm3cnTiHhVhxu9S2VVuV9yTOqRle8m9wqclrjvV2beJ8UHJBn2v2umfN75F4 +XplTdHjWAblb01ocY1whnjy05Hxf7D3i1aXU9iB+xA6pfYkjSs4PxsYbJVxI +zUuIYzemthmJRZMrjJ3I/X8krjNa9ZtS24T4CfDrkv8wpORv5nvvjHXF+mIs +7008nvgmG1L7J8kJJR8Uewp+s08n8xx0MXI30cfwTV5csX8S/+UFFfswT02c +a0g+2aXsicS5Uaclzjskv+rExPnT5LLgiz29Yn/sSYlzrMmDOSVxfi35N/hu +T63Yf4u/9tyKfbbEpcn7xN+Fn/ioin3F+ImPr9hXfHzi/GxyjJY3u0/0Bx/z +SRX7mU9InF9ITs9xiXOIyfXBP3dMxT66Jq2BHSr2lTQL71Txejg2ce4veT+X +qzwjcW4jvu2zKvZvV4THl2zPvyYZ00iMhHOfmWN5r2S2z4jlsWfxAUBnLp7L +TH9W5ZeZY8FfZJYlYOTFt5njdN9k9vfXGi0vXtDv9sLPqzw5cV47OUD4jqGz +fvDvVxq9DvHPNjd6jbGOxpS8ltgfdU3eI+9lrvNuZp8EcT3W7TuZ8duZfRvE +MYnNzc3c/secxctMn5PZ/8s40CYx9jVTx18aeU/FNhR5KOTx48cg3k6+Oz4H +8hTI58anca3K8xLn0+VL/g2eofKCxDlufTo4p5Z82itFPytxDuDKZv8Gzwr9 +hHxBYiyzApPjQD49fglycmkHOfpBR/8mFrNjJ8sbZM11Kifq9xd8Z8hWZOy/ +Ep9V2CTkwyO5P/Onwfj3Xgz9iDYTjcP2FftciBXcUXG8AD3qxehDG2yEivNh +ydcg3x2fydUqz0mcI3mj8CWJc2NvFb4icW4seiP5RpxXIR+EMxL4teqx+yrO +l2xb8jPUJ+eCsxn4u3jnZYnf21DyO2ifXAzOIeArQzGkH/SBHBnOeOAHw8fJ +eTzyXVc0e8+wX/imVxr+nIdX4hvrSp5L5pF+XZS4b9hM8DHOym0XNgc6LToK +PPiPbyOXinMBnJ18Icaa3LF+RftcyEHj3AF+DXLQViva90Es7ovE8Th0ui8T +63Wcn/4scQyXGO9XieOMnKVu02SfLTbuyibbucQBpjfbbzVB8z9D+HPho1gP +ZcfpiX9+njgGim29rMn2NXvi08T7oqfwx4ljgpyD2b/sdco5mAPKPgtzhvDk +svPK/6m6+5Rtx32dWLdAr0B3269s/Q0ZOzexnEUmf5JYLiMH2pXNf7oJf5Q4 +nrtI7R9b9pmmIxibJucYTBXtV+FPcl6nt5e8Vl8Qvqfk2NzTwneXHJv7r/A/ +So7NvSV8b8mxP3SHNmXrD+gvbcvmh31Dd53cxbpJQ9n6yX/QMUqOOeL3xf+L +T/xedJWSY47I1fZl8yh8Esub7JcgznZts32IR+pbFjZ5392X+Dv5RnKJe3Vw +bjH2TjV8cfB+dAL4f0O8E5t9o4p1evT5B9CLSo6BoqfUl62r8J5jyn4Xfqzv +m+zL6i+8S9l+z4HCu5bttx0kvFvZ/tbewjuX7SddlzhR2b7pkfivyvZHj8Vn +Vbb/d0Phv5Ttgx4qvEfZ/mvsjw+abYN0Rwcp22cysmJbBdlybtk2Bnr1tqL/ +tRyyJfTzN2o+l8r/kvhB3zKpYrnImIyqWF4iK88pm5fBxzrpXR3Lzt/YrpN5 +PXz+bNF2LDv3CRvo/eawg3T/6LLXWKJnO5QtU/CdHFCy/2Rm2fo6unqxyfYA +fT6wbHsAWwC+wL5n/8N74AX4V7fUu/YuO98I3+EPTfYfzklse2B3sK6PK3tt +4+s6tGR/F/7IA0u2WfF7HVay7+uQks+hYWvgyzy4ZH8efseDSvbb4Xfcv2Tf +zOll+7nQqVr9oCXb5ZxnOrFs3oXtQru0yXm4E8o+E7dUfVui6y840ZvdFu0w +7ugDzO/3+sa6smPWc4XvLzl2nxJDr/j/H1wc+RjkZRDDZ1+xp7j/TNS5PvG5 +LM5kEWNnP7OXib2zz9njNyQ+V0a+OHFazvAQ0+msd71UcY45Z2TIneUMzD/p +T8X/O4EcAfYte5b4Kmd+iNc8rPKhiv+vAzkF7Cv2VFPJ96DvE7ki5IyQF/Cv +iuNQ0xOfE+OMWAdirxX/7wpyFu6pOD7VWHI/6MOMxOffOPtGbJnzP8SPnhGv +nNnRZ4PJfSZvnPgBuUisadYzuc/k/eLTJ2cTvgnPHFey/ofuR040+cPEGPaP +fDzy8rDf9s45p4NznJzNJHeX3GRyffGtPxGyDJl2ZuIze8Qjya0mBxjf/XWJ +z+m1ntHraB1lakePDXoLtii6ELn54DK5ExX/PwzKxwOfnvjcHecuBpZ8ppHY +CeN3V4wheZ3IJOTRB6LdV3JeB7k2yGb4J3P+Ysx7N91/t+KzKeQlcc6K+Ag2 +UEOT9U9yQ2iLduao/LDiMzc3Jz5zyJkc2ngn2ulRcj3qkCfFWS9iTGW1d17Z +OWHklSBjkC/4Cc4NXwG6+c0l6+fYE7eUbFNg09xWsl3ztXC+7FwO7JtbS7Zx +sAmuK9kuwOaYUbLdgT1xQ8k2BfbKjSXbLNgi15dsj2Dr3FSyvcMevi90mBsT +n9XkjM1Nic9qcu6ot+p+VvHZGvK/OEdH7IwcE/pH37j/adTpW/KZW2JOX9Dn +xOd+yM/izBtx2z4l34NOLjNncYltfcu3Jz7TQ+4MchoZTb4PvKM1T7XqM7TE +yzK183rF55/II+McHbEwaK8F/ZbE50g5C0S+NmeDian1L/l9vGu1ks8PExv7 +Ef0h8dkgcm3gX/CuASXfgw6/7tpoPxI5gMgG5MJPmW2fH/HF6toIX37VOa0b +FxyfWl/0p4XXw5bSNUH4YtWpZq5zUeS9UQd9uIvok4QvrTqnkDaJeZG3u0nB +cSLyJalD/Kgz/4tH+JKqc3Jpn5jayZljASepPFXX18RG8GEX7QdGh1wl8s84 +k9XqF2+0fOxdtD8Z/RMf+S8RiyVPjfxBfLPwffJQiBntVLMeu2PNua4bFhyP +I15F7gk+TM4e8Cw5iOQbkGeM3EemLoi4Kjmh4wqOS3KGCnvo8Rafy+BMBjon +uWJPFqzz4weBt3AP2XZKxB5afWqNvodsOzn8zvh1icN0Dt8zOi+mA8+go+HS +gnZ00Pn/Gcg6ZCJy97jwF5OnQmyKuBX+W76TbyxrfMcLn4evJfO3nMu8ZB6T +C6rOgaUOsc5O/M8X5HnVecFgYp38H47ZwUvJg3yhYFuGnLtRBfMZ/l8H34eN +2TXz2ris6nOYjBdjBf+eGv0nD3diO+vkxGeXRoy29bxt0Xr4aLXznOqPyhzX +qhUtU8hd6la03k5O0ypF82FyW6mPvTy25mfG1KyToQdhm9A2MVnaJ+azPHIL +mmvmQ+dUfZaX3CfWJD6n+ib7BFhzLdFnbCdsKPgecVbOi5Kfwjclf9SpObdq +c5UPdfGzD6rcur3zTtCvtqn5XVuTo1JzrtSWNefCPlOwvYk9xnqG32KnYa/B +SznfTH32xfjM8zIu89iQD8P48D89iIlw/pyYPnnexPV7FR27wb7rWXSMBvuL +WD/538T7iZWtiFwN+ks+NLoVOQPkgpM3QOxrWeRtkG9AXjg5B8TWf4/4Ojrf +wshb+LGL8/wvr1rf3SnGgbklV4f57VF0nAgbExnB/yNB/+Q7wMzT8MzjMywz +jyDujI+OfYtNQ4yG9ci+a/VBF533wjrpXnQ8a07kd2GbrhG8gHzS7XX90MVt +ft/F89Mn1gO5SsRdsYWIRWPjEgchVjA9YgrkYxA/4JwgCRHoOfrZakuRm44+ +T3zggvBhk3f4n4L9OdRfGfW+y8zn/0fMTdcjqtNH5eqZ66+W+ezFWwXrithR +xGDpI3mNjxfsLyL+Cu9FB+CcFDoW5y7Z1+xb9izzwLpkLvjfSNjN5GKNiXU9 +KPb3fvE/edDRDg+djd+0xR4nD5J+4oeZHf/D5/bgIVOjzt7hs8d3T+yuc/zf +EGLVxKzRgQ/oar8x/uNDM8egD1G5b+a489TMMWno6N6H6/dc4cMyx6Spg37+ +V/1+D76Z+ezI5wXLaPLpqY8+QEya2DSy/ujM+G8qj81c/5jMZ0Q+LFif3z8z +3i/zGRTaR0/eKXOMfkeVh3b1OoWvELsm/5r/P0M+/msF6+cnxXo5P67p4a8n +xk876PnEtolxY4/slRnvmfn8P22iZ5LjzTvwte2SeT3srHJWo+UE8UHOwUyO +9T04YtzML2uTNcd6WzuzLBuc+TfrEP/MykjsqYs9hQ59e8Tt0Xd5L30B0x/O +7vQOv0E3tfWA2lwl8/26qL9N5nHYOrNuTpvsU2wMeBb8ihwIciHwpWyVeW1s +mVmGTwsZh/wjr4G4J/nvLxds16ALYHeiD2ySmT4pM40cB/Yu/OS0+H9HfC/7 +kzU3MfN7J2S2IWbHGsZH90Hg7WPt7x3r+OSIBRKbOjnW95qZ9+AamXN5HyrY +j8pc1UVOPnYg65/Y2NSwWfCNYG89E/vi6bC/wJxt5FzTytg7z4Rdxn3qwSf/ ++A2+uqvnbb+urssztEOOH3FKzkSTv0dcjXPQ2PDkbqBHYOeTZ4F+wdj0jvFh +vHgH7eMvIEcDXQYbukeHP//XCeUXXRyLZQ0Qp2BN0Na70f/uUb9n5vHpoXL7 +mmXrdjWfFUOfJE8MWdc75B0xG3IEyQ+8J/O5pLszx9vIBewQcSzyBckVPCvz +GaUzM/OzXSNGRF4edGwu7HLsc2Kc95JjIfo/VCY1792N4zwk78KX9UDmM1D/ +Rp+qWS/ZoOaz4x1DJ0HWcq4KHX7jmvWbjWo+l8pZGs7gc55mh9BHkbucvcKu +IW8ePRk7kf9B0hh60W3khYh+a+ZzGPSTOOYlyAP0eZXnEAsRPps9ratB++GJ +zPl5rf+TI+d4GPmX5F4ipzm3he+Rs3o8iy35eGb6Y5l9yzvH+OBj+CUxH7so +81mYCzPnSXVstj5Kjlih2foo+UcrmrxXOUdC/7Gh8EPMT7xnORtEP4nVEvMv +NDmOw1mQhQXbTSPCf4I/4LrM9BmZ/3dIIXRC8i3bx9ySa0nfsN02qzlPftOa +cwsYK2xJ8hjJT0IObFJzHvsk8mNrnsdx5GtnnsebM+c3ktuEXCV3l1woZA65 +nZwL4p3kAJPLBQ8bGeuKvpM/TE4VsoucYfK0kHvk6JLjBe/nfz+sDF2Iczkk +iBKDpu/oauhp/I8Zzjigw6BvsQ7xCdN39Cd0pyuQW6JfzrxkXlfXss8yt/lg +5ja6RzucW6I+tjDxbHIlyZMkl5hcK2QR/18Hnbb1HGji9/EuaL2CPrHmdifU +/H96mqLP/wc4h+pO + "]], PolygonBox[CompressedData[" +1:eJwtm2eYVMUShmfZRZCZOWwPuzswZwBBQBEUkCw5iiAggqAoyjUjwZwVs15z +jkgG4zXnAAoKBiQpKAKCBFGygoHMfT+//VHPVJ3qru7Tp7tS19Q5++KTx1RI +JBLNCxOJIn5rliYS9UMisTedSHQpSCRa5BOJ71KJxGHQzcFfKkkkKsFfCb0K +6Mizn+DXB+8A3h5YAV0Puh144ziR+CiZSDRC/hs5ZNL/7SiRuArZt9OmFW2W +0r4OeEvwI2n/Ae2Pov3rtL82k0iMq5pIXFAlkVjO/AYwvz+KE4mPad8UOa8j +rwrzWQ29BriO9icDq2i7EqiHvPeQ1xB5ryGvI+0X0K8bL30b7Rsi7xj6F/Gs +O3OaCP4LMIDFOIw+G+Cvhq4KPazIc38T6F3B7zCYsRLM5zLGiKGvhz4FaAm+ +GtY14IOA5tBLodvwjj/wvnUZuzX4RdUSibfofxr0x8hfGFmmZGmMpmWJRBJ6 +Jvh8+H2Yz1bav0/7Y2j7EvRlzO9Sxv8Vucch80d+D4ffFvwkeG1oM413qU/7 +FsirirwVyFuCvGNoM5/2NWl/NPg+2nSEvwBeL/r8Db0DGX9Ad4D+C/oP6N+h +20H/Cf079HbottB7oTtkPNee0H21X/h+Z6gvz+ZkE4lMxURiGfM9j29zJfwV +xd4La1ifh6DrIO9v6D+h19VIJIawFv0qJRLrwXcifzv8bchqjcwB4G15v160 +aQDvZOj20NPhHQHdq8zvonecDH4X8qvTZivytyF/O23fg65X6Hf8hz47oXeA +d9Iz+B9ANwDfybP76V8Leif9d9B/B/wPoY/QWsAfA/1o5LkcD9xO+1L4m2i/ +hfa3QGegf4XepP0BfWjwWVoPvYn+b0LXRt4W5I0HXwf0A6/Fs1dZg4i16AW8 +Ar6R9mvhZ+CfD/wK/TN0MfhwoCnfdCHvXgv5TcAvhv848zpSawO0Y/zzaH8K ++C20+Q3+GuhA33OAY+mzmP614TXLe0yNnQXeBW/Ms3nw8/Abgd9C//PpPwR5 +t/KsDvSR0AfAu/KNNkO/FXy2tiJ/G/S70IcXek9dD72f/fAV7QchYwv02/Dr +FPqbX898U8FnfQPrtRX+O9B1C70Hb4SuB70b/mD6v1PDc93BHBux98bSvyr8 +9XpX6T32RMR+/Y7z8C39m0GnoGdV8L5pB10KfbzOAvQ65K+kfwp8EDAF/Ddg +aJHf4UjaN6J9b/AxwHe0/wZ+F/BngefAtwR/K+2ZBrRvmPFZGaU9C31Uxmdv +NLCU/gto3wN8AvAL8z/A+sxj/nuZ/1R4G4N1k/bwieBN6TMFvA7vvwR8Ps+6 +QY8HbuDMrUt6b89BHzZkvMaMdyL0xcCXyC+j/ea0z8hR8I+G3w/eJcBY+q+n +f2fwufRfG1nHSLdsZs0qos/uof0I+GmgEf2PgT4J/FLgW+YzL3j8cUBj+E2k +s8EvA6bprATv3frQDyB3FH168Psd87mP35HQ3fldDP088x1C+8bQrdlf5yCr +FnAafQ8i43aeX0D7zpH3VFfGy0tHw98P/zmeXwa/T+Q9mgH/sdi2oSryXuD5 +FTzrG9lGXBi8x7W3T5f90T6HPoPfTkBl8Iq0+RH+ofTvxng1GW8I4x1gvDT8 +Q+CvgJ+E/0hknSFd8QPPHuJ3NHRPfpfq/fi9HPpEfguAxyKfYZ1djfEEv5dA +nxBZ5nR+L4XuHdmG36k5Q3eJvGf+y+8I6K78zoe+h9+LoLvxu1A2iPUslg1M +W0et5/kg6IaSx/c9l/M0mHlfdgh6A/xU3q02cCTv9xgwmO8/gfVbx3n7AzhF +e1/zoc9RyJigswf0L7KO+wXeKuioyGfoGfpeAT2aPfYF/W9D9hKe3cxc8si4 +Ghl3Yk+a4g80gB7DflxJ2/bIms1+HAW9ImnbNAv64+y/5jnxNbJngB9fZtsk +nfUEeC/muwd5/0l6zsfyLM2Y83jXRdqDzK9R8Np3Y7z10D9Bp+ENAe6hfS3k +fwT+IvK7s36vMGAn5ntBob/Nk5HfXd/oXfhp+q9NWwe9DP9y6MsZ/zfGv4+x +N0Q+O/ukE+G/H3wWZJPaM14ZbU6A/gd6Afwvgm3hk8AZ8A4HGhdaB5wf29Ye +B/4p63EavMMy9ocmAkPB62Tsb00C3uebVkdfDqjM3MGHwasHHA1vKnAmeH3g +mEL7FGeBNwCaFNrmDgc/AmgqXQecDl43Y/9vMvAf7RWgGfjzwDfMf06w//m4 +5gC+IVi3SufPhz8XuiX4E4Xei51LLVt7ciB0B+3/Atu0z/kGAf9iCe88jHdf +CO/LYN/kKWAx9NfBvswzwCLor4L3y9PAufT5Ien2n7Be06ULg22hfIB7+H6x +/B++3e9892zW32UK9DTs3y7m8GewryCdX5F3bZ2x7uwPbIbfB3p3kb/RNMa/ +l/Y3MuZEoBK8thnrwoFAT/bnDdDD4a2VnWWvJqCzFW3zx9P/OvpfDD/HGhwC +r03GunYAENP+IPyyirbphfJNM7ZNfYAq7NX7gvtqDi8yvyuR2Y/fSsAU8Dvh +XwtvPFCZ9ndJXoGf9YC/kWdvp62DP0N2uqr3/mD2URP267E8OxX6SqAf67eU +9kPBhwGHgt+NvOrIuw55o8DvAa5PWgeMpe+ryPuU896KNoPov5I+52lvK2aB +3ypj29UXuBH8tci+v3zwNeD95F/wu44znc/63PyN7Ml868Og90IfwtrOgq4D +vQ+6CvRX0DWhd0Hv0dpA9wO+AW/BWB+yP2rD3wO/Au0/gFcr6297gDZvQN/M +9/uc+Y5ifXaxHhWYX4uMbbvOcGfazEn6vLyLvCtYr1VFjql2gx+etd3IQP8Y ++11alPos6p1yrM0BnpVWtM83kj4rixyDbQOvm7Wdi6AX078NMCvp8/s249Wg +/376l1R0jFMva7s5nfm+xH6+lbnuLdePFwCnsP7LeZ8zC23jf5a9pP+hRfZR +K9P+OODyQtvYV+AtDbb1HaWzkPUM8z4/6T39P3hLgs+idPgmxVYZr7l0xkTk +3wj/QtrerDnUsO15Uf4u+IhqnqPmphjqJdp+G3zW20gm7/tZ0vrpHd53H+Pf +Af+apGVuYbwTM/6G0nG9GG8z7/eu4iF4B2l/m/xx9tMl2jOy/cH4rcAB+LdA +15AtStqW3JTxXtWa7Rctf5r+F0GPo//NwW21x1+AvgF6LPjRtJkEPTa47S3A +c9DXQ98A3hj+y+DfBesq6fQXwRcH6/5WwGvgPwT7el2BCsW2obKdsjGXwnsM +mJT0mEWs393wL6TtDM7HSK19VX+bFvSZzvj30/6mpPu04fu/JZ+iwDZ5IO2v +iBzblvKsCnT7jM+6fLCp9P9v8NmeABwKr536FNoneh3esmDftjvwKvj3wb6y +fMznwRcG24ZjgTHgDwWvvWLeizRW5NyAYuwX4C0KthU6oxeBPxi8liOBEeAP +BO+lEfr+vOsjwXPrDFwC/miwLtaab4b/cLDu6wRUh94HXa2ifZYCxfYZ++6K +Ecrg7wm2QYoRNsruZ6xzZGNzWcfB1TmPv7A3d8DfFhwLycb9Ab01OPaTTTya +M9xUOYRCn6kaWceZ01j7Fzife2j/d7BMxQgbOBMD0TOf0ud7+HOznqt8pNGM +Vz1r2zSV/s/B/0X5Bvo3kn9L/18Vt9J3c5F9ugPQnTOOjRQjJHi/rpJdZJ/+ +lxrW5RpTYxfA7wZ/WZF9+oP075JxrkExxAjtNWAx+vxb4CH2x5XBa6szIl1/ +Qca5E+n8Y3j/ZtCDC71n9svPztg3U4z1mfw73m+RdJP0OfBO0nN/lfPeu8xt +FQP/T7EM4zULtm092C9teFYtY99WelO+RAd938g+RWv4Gfg74S+Hfzb4G8Gx ++Cbped75EH6fRycdBO/D+TiEdzi90Gu4WfkL1uZ3xj+KuT6OvFOha8k/jp27 +OE7xeuQcRkvo1vIv9R0K7Dt3lr2N7EP3D24jXj2efaKcm/JAjDWasZoic0bS +vsWbvP9g5Vei8rPNs980TsaxrHzAtsynJONvL7vTEro4Y1upb9yMsVowZhX6 +9WTMVvBDxrGevvFj8K8KPjvSkbtp91fwHlXMqVzbG0CzKs65ZbLe6+PZf88w +91nQEd/vS/kSzP2cMq+zcljr9G1Yy3+C28jGnFHmcZVDW6bYHP7u4D2QLHLs +9HDktVEMVQJ/F/yq8KvAXwN/eTCuGORc3uXc4NhNMcWJzGFe0mfvA9ZvQJn3 +rnKgs8F/V7ybsU2WD7sdun/GNlY2fHbWY8lH6KtYuzwnpVyU9lDfMp8l5VTe +Ax9c5nVWDnQ++Db5Kxn7ILJZG/mm5xZ6D21RLoP32RucQ1MMspX2fTP2YWTT +n+L9rg7WbfLR1kKvCF4b5TQL6d8j472uM/VF1rb/Z9pfyXyrZr2vxym25Pt8 +nbWvuQX+/fAr0L97xt9IOilkrauepf1TtC/Oet+X8T5raF+adV5nEvxJ8Euy +ztNMhJ6Qd273/IxtjXK8LejzSdK2+C3W/6usfdffeHYHvC+z9nWUg7gRuoj+ +PTPeu/Ixn5QuzlgfvSWbQpsvkv5W7yGvLOs832TGn8L4PWPvPdmW9+HHWZ+N +HTx7Gt4jrN+1rN+opG28dGX3Uscu0pnPgF8TbFvkw1bLOk81AfnPKl/G+Ts1 +2JdoA//M2LGJfJOZjPcX/T8OtlXaN9uKneNSbusDZLwZ25eUb/sd7R9kj/RI ++vsrlyofTt/9U561ir1mWruZeifoZrFx+TfyVbcj/0bm8hGyPwQm5ryPJLM0 +dm75hshjK8f8Os/2J637v805F/Mg/LqRczIvwN+dtC5elHPMqNhROm4r+APM +t3vS9lCx2X3QXZN+V52VcTmf6y5qg6zxOe/VbtDVYusw6bKP5bNC319mns67 +dL/uIsYxj5/SvpN4KbavrthmMX1HALrfmM18LgIfA1RG/lzoi8GfzVkXaE4Z ++h4deyz58PLlp8SOFeSrL6Tt78XOISp3qDV8iPn0TNrGytZOytkv0LMy+j4M +//ikz5jO2tSc47ATtJ/gT87Z71abLPS0nOO63ornYt+ByG94H7pB7DsM6e13 +oesqXomNa89q724qdk5dufR3mF/92H3lfyj2ubfMay19Kt37iHIgSZ8pna1H +yzw3nTmdvS3FzlGvR957ynkXO4et3PWMtO9ixkbGdSezmT0/DH5f+i8Gf6zM +7yIdIl3yYexYSbHwUr0L9IdJ+/uKtabkHMdoTtVjx5bXRX4XxZi6Q1JcoD5H +6d2AgpR9iyXwxjJeh6Rz5EXIW5l1bkbffAX4hJz9Mu3JEsUGyJ8LjEk7RhuZ +d5zfGnx0+bs0Ak5P+50Uu9yCzzw67RimcnAOUrlH7cE5xY75FOupzQzpqJR1 +vHS9fOfvi51rlw99KPqrf4ljLsVUFaFPKLHukl/1drHviHQ3NJQ+46F7wL8j +7XzAZcyxnfYh0Jn3uzRvv1vPLge/lvPaUfGd7JB8p+AcpHKPejaCNi1pe7/u +9+j/UN6+xBDoh+VbBOc0lcsMyj3yrC28B3VfR/sxeeex9ewS8FF5r90DQAv4 +belfSP9K9I/ofzV4m2D8JOAa6HbBsgdEjr2uj7zXFIMtg+5QYt9Fd0gjWYsz +I6+FvoliOtnJ2cpxsdY9S5wz0dpojU7W/WBV21Dl5AqQ93TwXZnu7EYr1pC/ +knIOZbdi3ci5QMVv5yFrUDXnGiTjk6xzicqBzgS/uIZ9P+UY79ZdHf0HltiG +KkeRhPFMcG5PMdQP0O1LnPuQj6ixhlRzrlRjKvY6vnz+/8bHrM8T9P8SeifQ +Mraul71X7mJTDedZzi33FcYh//HgWFF9Rko/BveVDXsW/pPBseZXPGvOXOrz +rF/KZ+AVxnsqmKc1WS8fLeMxNNZvwKBK3pvy/S/N+W5OOdBLcs6VN6F/xcg5 +85rM9+2kfQL5Bt/nHDfoTMyUfgS2JR2/KDZ6UDZIcSJzOQv6y5zj2I08+6/s +A/Bnsvx+kvUeB71T+g95rWm/IOe7E7WZAO9x4Pekc77K/S6DDin7PitpOz/n +uE0ynoV3V+yxKjP+mcj7Kmc/dhPP7oF3d2xc/q1isbax9578NeWOpIOkixKM +8a5ikdi4fEj5ksrxyE/8nD4dZa+Bg9p3urul/zc53wVpzk/Etjn/5nqhp0Hf +DvyadG7xC3jzco77tIaPwPs65zhaa/gQ9J2xfSetodZSPo58na941gve8ti5 +JcXiP2ksyUjap5NvJx9YvrCe9YZXkf3QMGUbJVt1kGcNUrZhsmUF0gcp63Dp +8kLd6ads82T79tO+fso2UrZybWxfUWdhNfTs2Lk45S5/gN4CHaesG9fI/ion +l/LZWgu9IXYsLd3wM/ROxYAp+xTyLeQzyXfSGr8N7y/ZzJRtvmz/bujDU7YJ +sg1PQf+R9DfQt3gmti+oPaK98m3sXJpyWyugF0GnU/aFl0P/A103ZR9GvsyX +0IemHAsv016LvfYJ3U8q9whdL2UfTL7Yz/KZU/ZlV0E/Br096W+sb/117Nyk +csM/Qn8EXQi9B2iXtU2VbdWzj+F1AeYmHa8ol6g7P929reXZdfCujY0rh61c +9iStUdJnSGfpaug10Icw3zM0X+WTONdfQM8F9hX7zl539Xr2qfZIymdcZ30A +9IKkYz7Ffh/nnKdazLNT4d0HbE76jOmsXQD9o/JSyBpK+wdixx7a09rbn+ec +R9Scrol9B6k80S/QN8e+A1Ie8SflcmTfc871r4K+DPri2LyKsh/KhTD/mxRH +Q88EbootqxL4sKzvkHQ3sFy5Jnh9g2NixcLygXfT/1Z+59D+c2BPsWsEVBug +Z5fGHlsxh2KPEbFlKSZSbKQchXIV0pG14H2Ucx5Ia3Zy7ByzYoP50CfF9mnl +2+6VbdC3kr/B+LO09mn76PLV98F/NXbMo9hHe6Ar9Mux++7iG7VVrFPsmoht +CcuQDy9ffhdtnqPtP/JVlNeHN1v2IbZsxbCKZafHbvtvPgZ6amxd9Q/y22R9 +56Q8pb7phfBuATYknYNSLurPYtdIqDZC32BGzndZ39JmKG2HxN4rFeCdSvv+ +sdeiAHoI9Gmx2yrmUuwlnSjdqDFu1dyKfWejuxq9w3949n3SMahiUcVgisWW +8mw4vLNi44W0PS3rOyDdBanP2fA6xNbdiveVW28q3wH5BQW2ec2hd0MXQleG +npm3L6Ualhng5wPNdY8NHKu7A/bSrOA9rRjhHPjN4N2regv4F+Z99ycf7SLw +8/K+55eMC8AHyUYkvWe0d6rmHdvU5H0j8NrInqqcDO3/BA5Tfpj5dSrws7Pz +rlvQmOeq1gPembRpTp+OtNnN/D4NPlOKcebJd4E+Fn4H+J/INw6uxWoHvYv2 +nwR/c8WoA5CZUa5H/q7uXuDPDF5zxYT9Sh2TKhZtgoyz8q7laKJvBX5G3veA +R8seg89hvDN0BmnbvsDvcpbi58jvNCzvtndLHuMNz1vWPUBT6KHQjXQPDhwD +PUj2Svfkur+CrousacjaBf0PsIL1rcZePgB0ytpGylbq2Up4NWg/mfbbabst +bZ0t3V0Cf1VsmybblpUvJd0Tl/OKfNfzq2RA/wW0Qv5G6FzK8YDuYg5H/k+8 +Y+cCz0k2ULZQbTbFtnmyfZLxW+waHNXiHITuLJz+U5jfDsVqwLrYc9mmmj3k +n6f7sqrOxSpHNzh2LlU6Wrp6YN65Tq3RKYot8q7d0RqeDl4zeM9or2iMXPAe +0d7QmgzO+56/oc6vvifyv0v6jOus64zprOnO9ZzYOlm6eTX05Tr/efe9S/cx +WdeoqVatCtA175om1TYlge551yipVikF9MyXn83gWhGd0U6seY2MbaRyIh2h +q2fsIyjm7wydy9j/kI/dBTrO2N7Kx9PZrhBci6IzrhpH1ToG4CTwK2LPXTZH +tucD2g8N3tvH0f4t6NOCa/faQs+Grqb4IO0asati5+KkD2TrNik2LHatxn7l +x+l3HWdmYOScsGpPbi51LYpqUA5I9wTXjlQscOxVFFxbohhsO3wl2lXrcRD0 +hlLXXKnWSjVgY0tdQ6XaKdVwvQRcBd0/cg64A+uRzdgGKWZ/JXKMqdhSOfOX +y2M8xXbKYf+vPMZTbKcct2ptGjL+wbRrbvZDfx5s35UjWF5inSVd9Xe5DZYt +ls97W2wfRL6Iapiuj11DqVrKqsCJefvs8t3lU9wbO4ZQLCEf6lHoE2gTQT8h +fQevr3KW4E8pnpd9yftbPi39mnVNqmpT1ad33jWwqoVNA73A++Q99pPAeVmf +1eHK0Uc+s93y3puPSp+p/iTvvo8D50D/XGKdI12jmrUFJdYp0iWqMVhS4jOs +s6uaw79ZrxnB51M5sC55n4VHgOG6u4b/WbC/rxyOanJVmysdfDJ4j7zPxmPS +/Vn7WPK1VDMzMnbNqGpHtSb9wPcib3awj6Uc0VHBe1J7Ud9wK33yKce7yh3L +J5dvrmfbYtce3aV76sg1SE/nnSuWTpBuUG1TY2RWiFzj1B38sFLXEtWAHp93 +LlU2QLZgZXkb8VQTewpjPpz2nU/t2GugtVDN7+HSt7oHoH0cuaavR3BNomoR +Nacn8851S8dJ13ULroFW7XN1+Ivyjo0VI29S27zvLqQDpQuV41CuQzFOBegX +876bU05EuZHJeee+ZWNla5VjUa5FMVIi77M/kXE2pq0DssE2TrZtS9q1eJMi +46rJm5h37lw2UrayJNgGy/ZKxst5390rB6RckGyabJtioh2xc0TKFSnGWB1b +l3RBRjayTlGt3B2R3101c6t0X6Q1iVwTpTOis6I79Xaxz4jOimoYOsWuJbuX +trUi15TJ5sv2KwffLbasI0tdaySZXYNr7lRrly3XNS11XxFZ57QK1mnSZXqm +2pRjg30r1aicEFzDrdptjflp3nk63YnNyvtM6myq5qF17Nq3u+HlI9fAqZbw +fn4Pi1xTeHxwzZdqvfLle6deqWultId6K7dS6lqm2tCry58JVw2pzrTOtu7g +msQ+8zr7qmk/Qro9co2majNVgy0dJF2kO4/m8PsE31HqblJz0hnVWf23hl65 +D3gfBcfwyuEqB6dcnGLyorx9RvmOirH3ydYCVcH3Ax0VH0IXp3z/82+tSM65 +ED37PnZMq9hWfZbI1wZSKd/36G5uVM65dN15jsw556Lci2LmJ2P7FPItlCP6 +tYZrblV7qxh+c+w7UN2FKobfHtvnke+jmrP3arh2sQHvty/tGsbhpY45FWtK +pyqGVixdmT5z6T+o1DGcYjf5hENKHRMpFpKPOrTUMYxiF/m0iiEUS8gHOT12 +zK7YXe+4IHZMLVufhP4GelipYzzFdvIxP+NZJXh7gfZZ5yjkK+jZ5/DmxJ7b +svK7ynmxZe0DOmTt88v3V87kQOwYSbGSYu6JsXNAygXpzuU19Q2+Q9Ld0c9p +1w6OV34y7RrCmnnXwkhH1crbx5Wvq5zCntj/jXg2ct/V5T6xfGPlPHbF9qnk +Wykn8if01LzvxhRjKNaYnndtm2IQxSLymeU7K8fxN+2fz7uWQDlz5c4VUyq2 +1J3Q88qVBPs88nU05xDsE8kX2pB2zkK5C+Xw34sd0ym2U0wzMHaORLkS3cn2 +ge6Ut28rnS/dr1rVCZFlqWZVPrp8deX4foi95lp75WC+0PsG+0DyfWRzjgiu +qd6b8J7TN9W3VQ7jk9hnRmdHOZ6F0JOVOw6u/ZQO/j/9/+kr + "]]}]}, + {RGBColor[0.2515966825, 0.2762395025, 0.2985102425], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNnHeYVdXVxu+MM3OLg0zAzGHOvqhYEo2AgIIoYgEVFLEh2AtgiRILoPRi +QcGGjd4RYwMLYosaNcbYW4wtqLEgohJjypcviWnf+5t38fj9cZ697j777LPr +Wu961z6304gLj72gtlAo7NZQKGyldEWpUBhVLhTGKvOamkKhUb+vVvqw0rKu +PVWmqLSkq4fkx0ous5fkmTUuc1U81yby2ypt0tWz4LxtIv/6Gt+7TumTJcuU +uans8tdHfZV4L+nWId9Q9m/e+a7SLrqWS75Z+e0l3yj5ferTdavkG+N+ra4H +U6GwXr9/kxcK75X8/ArlP6O0na5eBT+PfEON2/K9aNvSukJhgK5lyl+mdKCu +lZIvqRQKF1f8vlvinXW8t+w+M5Zv8U5dSyUvURtek/yq2pCU5roOV/0vK+2g +a57KzIz0X8q/W/Nzl665+v0TvadF94bX+D7lT1T6htLXdS2SfJvqf5Pfqv8a +pQuV9x/V81Kjn91P8hcq87+SP1aZTGmzrjk1HifGkz4u0bWz5MVKX9Ozu0g+ +Qc+u0bPvSP61nr2w4vwza53uHGVeaXTf6Bfvp48LlL5Scj/nSx6jZ0dX/L6u +MY9nq3xe8bMjai23VPw877qg4nc8oTb8TunbueeqfcxdT93fS9cY/f5PsVD4 +t67JetfeyuvFPNG+aqGwa5tCYZjSk3X9SPKJSv9b9DNTVL5B5Y7T+6+o8Zrn +9wzJBaVHK3+q5JqSf0+TfLTWwtORX1vyvemST1O9nVX/KUqHqczQOte5TG1Z +qutylbtI93qrzAVK39O4DWT8VfWxSofo2ij5uJCf0jueqPdv5K2UHqv0UtVZ +L7lO1+WSb1Dds3VNYI8pvVbXuLjPM5epzBC15dg6PztPeT+l37qGqx1d1Z7T +q96vrOFrlT+77LFgHM7UvW4qM6Lqfcl+nKX8XrHvLi5YD5xQax3yRqPnmPld +rncepus25T+refyUfah5/Ii1Ge34oOQ9vEryBLV9fMX3blZ6k65J8c5y6Tvd +M6zW+qcp9MkWHXNSrfXM6XrnaXWW56qOObqmxLgyniOkBB/V/A8teS7Zx/SF +PX6injuhzvWfoz73UN/PqloXMiZX1nicGmO/n6KyJ9e57+yt76Mb2FPKO7TO +e+r6kvdYQdd+W0vP6t2rdK8PY6OrnfL7aa6/lLxaVy+VWVa0HhrZ7DXyqsav +U53z2LMd6/wO6r9IbfwH60vXLnXWWfRlL9UzT/Us1u+ekhcV/cwpqvNG1fkr +1XmMyj2qvL/p9yjlr1H6tvKfq3P+t/r9N9X7J8YtynLv4Gjrc1FmcLPn/B7q +bPa6eEjyMMmXS/655IslPyb5Q8lXVtyuBbE+P401yt7ZEPvn7sz5C/Xc4c3W +Nz/Vs9tprA5Q/jf63Vv9ur3otXaN7v1K7XxRa2yS5J9L/pXkyyX/QvLzku9N +tgdvSr5Z8kvoKckPJ6/FtyRfqfU/XGvkBLXtd8r/o/J/p/zPW9RGvWuj0q+U +/3flf6L8JyV/LPkdybcn24A3JM9L1oOvSF6WrLtfk9xTbb1V1z2qv4/a/0DR +v3vXeV2sVf6+yr9X+Sv1u3ud07uVv1ud+8qe6qJ0ha47JD9e9Njtr2tvPXtr +0evgiaLXNOO1j/LvLvqZ1ZnHeVGz7Uke9mNAs+3GXLV3lvbyDD1znuaqb53n +CR1yYKOf5X0HSf6sLt7R6PkaEu0YFjrw+ornc7PqvaXi/cLcHazymySP0NUv +UmxxP+VvrPPeOiDqZj/eWPHe/LpgLHFyrfc88/wE9rHWa+qQWFfYnVZdVGub +vHPsQ2zItmFHWsIW02f2LzZyb9pZ9m/28gSNxeOSn9XcLVSdw1X/X1Tmudjv +lP9+2NbWZ2v8+2alA5ttG5eqjoPqrJvQS9dUvN6/LHj+DpdcqvEcD5JcqfH6 +OEJyY43nG12K3qZv9BFbzz4Hn4BD0AXoHPRMf6Vn1bkNh2g8v4jf6A6wDRhp +/0brwaNjrx8cemDHej+P/GTRbabtS9TmM5X+VfnzKtaxf5J8YMwVOnC/OteH +fVyuMoMlN0nuVO855tmnit/N+c+LfpY6+qs9n8cYbV/vPOp/uui206Yd6t0W +xv8djenvNc4f5B7vM2rd320DJ9xEG5TeW+MxPC637h2Se58h077NKjMoyrWO +RTHsQp3Hn3n4TPc36LqrxntxUOzHaerjVF0D2D+67qzxPL6itn2u37/Vu47P +XeeCZtfJfqfeo3LLRypdqTpWVKxnv9F1pK4HatzOwaET/hj31kkeK5u0r/T+ +aKUf6F1/UP6Hqufw3HrjMKWH5N7vByvdVHIbV9dYf6AzDwu9QvlBoUsoz1qc +obZcUXE7wBBgCfY+ZQ4PnfNFyfWukXyZyl5a8Theo73zT9UzAV2R+10HKH1L +7fwKe58bq4HZJtUYV4GvWDM89y9dXZV1bdk4jbKk4LY9wMmBx7opWRJ9Yr/w +vm+L1tu3lixTD1gIzNS9YEwDxkMvTQZf6OoHhii73Ja+1kV58F1tvAsdD3a5 +Pd7zz6ifddEv5p521UT5ewODUc91ZefT19tL7jt9Yf2y/u5T/pqSsRu4s2Nb +jXF7YVbtiVmSb5e8r9raqUk2UPL2yt9Tc/+m0r2U9tT1luReSu9I9j/2kY7/ +ucb6HtV5ivLm6N6ZWjNvKn1c+XeBh5R/Rcm4FL8AO8c6+zjZntHnpyV3rxrb +9VA6XW34fXvbh/dy740XVGZsyXgbXH2F7j+vche28f6kn++pzD6BffdVureu +dyT3VrpH1b5HN6X3q79f6/m31d+n9OxaPXumnt29at+ms9JHttGaV5krZJ+6 +VO2HdFXaRfoh1Vu3/rnkPcJ+OSBsCHbncbVrnJ49S/emlozxwL0H6b1P6N7q +BmN2sHur/lfZx5pi7FT+17p2QyeX7H+cSxnNb2fN6Z3CDfNLxtk/0TzeWbIv +cmStsSeYHvw5XfJeqm92jd85vr3fO7lkvA3GBrtg26ao75dhr9pYpx0Yuhbd +2C9sJnr1lyr/M94XtgY7g578tmR8eLp+36syV0neAUwk+SHaKXliyb4A+PYO +9eOH9dYPP1OZn+reEck6+MywKf8OH4o13Cc33thX6W56bnzRGGd3yZOLxrnb +6t40ye2V/kj5E4vGO8wV+diN7+Uu35R7j4K34R/QLUeAb2uto9Ex6OT1jc4H +szIe+CCMSabnL1M9zUqr9ZbBL21zv3eb3P0bWzSG2lq/L5FcUZrrmiG5RWk5 +d5mS0h+o/Oii8Vcxt9ygdNd6PwtGa5O774252zUo2gYOY3yw0/X40pLrlO5S +bxnM3rHe7wU3YbvwdbfwE6fUeo7xl/CNwAL9Q+eA49n3fUvG2XAU+GY/rrU/ +Rf55tdYT5IPL0VM8iw4fGHYBHwN92D/WLfuyf9RPHftF/ehaym+xfTwPuTSv +bD8WfX5U2C+wPpwKfhrrHJs/PNYrvjvl8XkvajH38ajSBcqfr2sa7a56j/wY +G9foeqlzse4vwt6EjeRd2EdsFmXGqD3nV71fRil9oOT1xFrqqHGfqXGu5vYj +kNENNfo9qggpoflWW46hjPZpg+SjJaetbJ/QzV+GDTqm1r/bqMz+Rfvp+JSd +Az+wFx/VdXz4q/it6J+HI4/flO0SemMT/oXK7SK9PUL9HVr0nsWejtYzE5kv +7cNV1Bv7Eh00WPXco2fbqPy9LbYvR9Va5xyt8ncwbqHv74x7M8u+v0ntWRTY +hXmE6wNHs5cODH2L3m0ERyjvhYL1x5W6WvS7e26/spvSi/SuR5T/jOQfS16H +7ZC8A/yUymyfG9chHxhY7vqiddVOueUd0SG6bpG8a24sigz2A9vjz4J98WN5 +L3i3V25/uWce/nHRGLdz7vK7s3913chey41FkdGdO0s+v2jfGju5Jub1BLV/ +Nfo6N1aAI/o6bPqQ2u+4GFL8mjNU/j7de1Llm1lTup6Bt8ldf23o2gd1DVX+ +TvVeb/jxD0Qe78DW3R/vGJO8htDrzyXbWezta8nYa31uHnV67K/zK64PP+Cq +in3siWXzk9g5bNyUWJM71phfxd5ga+BUsTHYl2uVXhc27u2S+YsfgQ0qlvEv +4IiwGdiLo8LOsZ7oH5zNcZHHmttOZZ4tmQNDl3Wv9zrAf3i65H2MH9ej3msC +HcEcrAks1K3eexW/cY9660r8QOaHfQjW6l12u+En6R/9ZH8Vogz1kK6O+cVf +RMewzsF+40vm035bMo+8e43Hg7btXOP2If8l9M9loZ/BAtfEWKFvLovyf1E6 +A7ur8l1V/6ySeU74XuRda3z/yihD3tWRv2vZ+XC/jBfjhn0frfrXV/wc2ATc +Bj4BW15SMg85SPJNof/px03Rl48r/o3fN1vpDTGnzOfskPuVLeMvgwepf5ca +43CwXSuui3kkn35fG33/oOLf+KRb+gmnfXHonO0CM9we6wT/mrrmxBpr5ctj +POG24SLOKFs3oZdeLZlLbuXKA3ujD9FblOkq+cuSfZHVMY/w/fDccOpDasx1 +bQxdR/m/lsy1k8+eg0NlP79Qch7+L7qTNoNz0Lv4FV3D71hKfrQJbp7+woet +Dl8aH4Hy5wZWRF93lHzx1l4f6PqvS8b+4Bqw5G1RBp1+WzxLHbybPNpCm9hz +c8rGuOui70uiPXCkD8f6R7esC/2CDXwg9ib30dXHxz5D921f4zzuEX9hH7Of +O9XYL1kTZV4seYzwt4fGnj8u0oeiPH7PvTGe94XcPfQnv9FvzNvimIsvKm5/ +JeYIPxuc8knJ/hbY5/OK5w7/unO9bQPjvGe9dTrYlDlkLndQmQ9L5pXhd9dF +38EAvPv+aBvp2ih/VtlzelGst5mxH1mLcC6s7dZ4TuRfXbFdxu8ktnBJrPOZ +UYZ1gT80NuaUeAh8IFwTnNPLIcO/wQ3CE/Hca7HW4eRej/z58Tx1orvwC3aq +sQ57IuSnSubFiGGdG+sJfPXLkuNe8F0PCmd03MrrlbI8A4/WNp5Fz8FtgwPQ +jcRZaD8++ImhN8lnj9I2xoay8GPcZwwujnFgnyODMdpFG9BnjBlc9QblD6/1 +emItwafCNY9CN5bdB9oPPw73DI+EbscmYr/er1gfwk8yF7MqrncMeKlszPJw +4CLw0ePRL+KS2APWNFju1thbvA+98m1wF+hh+EFwzg/auN20mX4wpqfW+no2 ++kUK/4xuREc+G/LzJXOFcIPsG/r7wxpzVs9F34lbMXbTYn+9FGXOCH2ELvpr +7DvyeY56GT9sBZgMO0Lb6QccCDHEURWvtYsqxjjwf8SpxsdeRueCF7DpYyv2 +ReAU8WEX6OoSOpTnamMvcR++cVzF/hD+SI/wpZmXTyuOj1LmpLLrwqfAJ54f +dRKrog3wLTw3JZ4lngWumBH7l3o619iO3VyyLcNPnRh7lnRCyOxnZPAY+gj9 +BWYjlgTOIX40R+ncqBP9yHvB5PjclEF3kU4KmbU/JvYvfCb+xtrQ1/ig8Ir4 +LGAw4lDHB/5orbtivxBfib6OizFHp82LcfhMWO5/JH+UGwsRpwA/wPXsU3Ec +AtzxdOSzV5+OfYqNwq4Rf5lYsS97R+hN0lLoTeYH3hj8zj5iPw0peyzwDRnj +OTEm+OrtYq8RO2NuiHNNr9inb+VCK25/Q9ha+ofevrxin57xQUegm/DH8eGm +h44inRbyVxXzs4whendZyfYLm0h+N8kbKl5PrLUjgi+CN1oQa+l8vefw4L7g +wH6ofv2gHHH06NcoldlYcbsZJ2wOtudC/J+K7QpzxVrtH3WCPQZGGTAC9THe +1I+v2rtgjL+2wTg/S46hrtQ8dkj2e2+V3JLMR6+S3D6ZS1wKX50cU1yOv5Ac +W12RO9ZBPAV8O7dsTog18FluP3N+s3Su8tdIPk/5azKXX9xsHp24CTg5T45l +3Kbn5pf9LP4pvmxjg/3ZR1rct16q48EW+y3rlE4uW6Zf8FXfL5qzYv+xD8+t +NaYldj+y1rrqxdBFz0W6hYsnRXfdmKyvXsrtk4ARwUusw74xR5srXhOso2PD +5+9b9doAG2CX4ewYE/qAz4yvjp++u8pObLB9W1nyGRfOt2DT4WJG47dXjDNY +y0cGDwkfia+/TdTDuZij4tmjq+aY+lS9NpdGPfBq7D98Afy4jhGLaZfMUS9R +H/dNXmcPSd4/+fmHJfdLbt8jkkckYw84zsOT8SF8W4/ktbsu99jDQTD+cE3d +I040bmvP0ciw56SMZ6/kvfGgnj022f+C6+2aPH8PwL8l4/+1kk9Kxn7wxOcl +4zd4QWLlvBP7u12yfYE7BDd0jHftmOyz3Jd7Lhg/bP0Pkv3H+5W/scExA3QT +6/bqsseaulPUzzq/quw53TaZq18GD93wXfwT/m23iHMRk3wwMAxzXol5/1mD +eQHmA06lFGsEH79TxMXGl4NrgZtK9iUW5/Yp4d6wFwtif7Fn/pDMn36qMrPK +3nNwXM82mGvoFDxnn4hz1UdsHz0IF4rORDeub3DchT683mBOEFv7zwbHhCgH +L8pz6EN4SzhLbNljRcdU+Q1nyHPYYjhMxhU9/L2izxL0CU4VPhVs87OI7/H7 +0mS891xuO4MdwZ6AZ8AxYBjOIAwKXE3M8PDA1cRpDwvfHK4LvYA+Id57cPDt +XwePB5/HOI8rmwfDL8SvAysOrLf/j++PnplU9tplvcEHUifv6RHv4v17RhuI +OR9S71hy28xY7Gv1qX1mu3oiujYzFhiODs5stw+T3C4zJj0m2Q8FmzKPL2XG +ZXOaHXscGG1Dr8M3oQPRr4cG53BsjC9ji64dELzE9zPjhXOT87pFPu3tGm2G +T2fOmK8BMZfM46BYK6wTYmvsc/b4EbEmWA/o8Hmx/oZWjUeHVK3nVoatRHfx +G/5zeehA8tkb7BH27eBYr6xV5rlzzDVz2CXmcXhwc+g3xh3fCv6Bcvhc6HPG +CA4H+04/4WfAUXBz6ET0IX1mHbOGB8YeZv8ylnvEeB4aHBx784TgwdmDKwID +0JfmzNhwNDYtM3aYKLkpM+btmIzxwfsvFIxzkME6+ALcw6eA3+A8wDm6X5e5 +7DTN+8EReyIGNSI4X3RTp8y+6T7ozqr10xcdCoWPO7jMR0o/rJj7gHtD58GH +nKX6P6qYLwN3b+hgXfRpB/sHz8Z+6xdxK+JXcOLsP8Z5VrJ/8UJu/Tor7Cwc +1y5RP/p7dvTl0IjNEaPbITOu7Kk6BkZ8kDghvFCvsN2fVMwHgfd3zIy5+qr8 +9pkxYHfJHTNzQrtF3AddwFq4P7O8XOPWITMmvQzuM7OOWNZsnn9TrKN7M++r +pc3mRb4MbmRtZnmF8lsy+0lXq54XM/uptyj/nsx7bEmzzwRQD+vu5Sbt2ybz +YXlmf+gmPftMZp7mOpXfKfPaP4jzQpn9hi6Sq5n5ql0k7yy5h+QviYVlEXPW +sy9k9qFvlvx8Zn/xJskps9/fifnJzDter/xnM3MbsyU/l5k7uVHyrzLzDTc0 +27eDI5gevgA+GHzjle21BtSXMcEdwsPCK+6djEPPyoLnK5vrax9l4Gk5CwAH +BP+zU/IaOSOzjV0YuoILvYGuw8bOjbNNeyZjrjOzOOdSNhe3R/IaGZmZW6J+ +fJ6Rjeat4Kzoy95xxpK68FPwN7duMC5Bn/8weZ0Oz1yOM5nYXOKQ47d2XAMb +uzDwAHHct8PnwefqGWc7eY534Rdzr3e8C324IHAt9SyI/uLL4C/g1xDb3xiY +H94InA+XSLopZM7zfhJ7YWzsC3Ty+bGv0WPscc6jwi2T92HIU8J3KIVPxLvw +cyeGr4Gex0/6LPJp4/zyd3OCjL3D7s0LGWw7N7DQ7sn7e0TmcwD7hj+IP49f +f2L44PS3LvzuDdH38SGPCw7gvCg/rdE8CeOIfe4VY7t9Ms8xNDPPcXVwKZwn +5awS9g7bgEzcg5R7+O/johxlSK+LfNY5Mvc5o8o5sM1hF5CJq1wReB+fEeyD +jL0DsxP3JYZK7JH+4McSt2Re8W8nxdzeEX7i+P8375NjzGcFNwSfg29HPnVM +DZ8P3xUMNTHmC1+EuOmWd06IOsGgU2Kup7TxuYYt4zgr6m89D1sxP8LaJcYJ +vj02ZDi01nPgFXN7reedK/aFwEgfxLpintkPrHfsCffIp46eUQ8+VEs8i08G +tw/nzzyDj5nrC2KtspbhyeDLiCmAa4gNgW2InV4R44//hYzNJZ0RMv4QMmXx +34k5wXVM1RjMbHTd9JvYM22g7qui/k/iHvlgPfJpOxfl4FWJQWAriTtcFHYT +PECfPo5niV/Cex+ZHF+Ep75Acp1051ZN1k2cz4PjG5dsO7GhVyV/A8C3AA8k +n8WHX12UfG6e8xy3Jp9x56z73ckxP+JEw5LjefDVpyXHMuGRz8Znara/MZGz +oB2swzZ3sA7c4pNxpu6Y4Gc4N4hex87jA+MLz04+R8dY4lP+stm+wcwWx/aI +8b2hMo8229+4VPm/bbZPNbfFZynhZjj7AKYH209Ljg0TLzg0+aw5sZy7ODNT +NPYDA3IGi7NYbyafUeOs2kuS5xeN38BxnNXmzPYzyWeOdmzyuaMvWxyb/qrF +5884Y7O6ag4LLuvT5O8N+O7gc8kz2hUKxSbrfc4QYsfgBs7d1ud4WOsj4pz5 +SqXrisa94N+F7XwWCv03KmL6d1SNfcHA86s+vw4nuLzqs/5w7gurPouPnV1a +9fcDfEfwWPJ5bvjKVVWfLYCf+mnV3wZgoxdXfcZhauiH15rtv81usd5Dt6ED +mQfO1OLf4qtyZhd/Fc4Y7hU9zXOcUV4efh9nc/H9wLZfxf5C530Veg9+Ap4C +ruPSkKeHDv9J7N/34zcyvu75YacuiL0On8u++ST2Dvvpo9hfo0Nmn9G/TaEH +R4V+QH/AtXwRbcCv3H9r+5acn70g6sdv5ewyvis+L+fa8XtpK89Wgt/bHH3E +B6qGH8Ra5ow7/nN95nfcr7H9PPbPJqUbO9hnuUVz8W2z33GXyryc2Wd5Remr +LT4/8ZrSb5rdplUtPicM18uZC+wMXDK2BnuHreMcBzoZPQou+qzZ87dEz76a +2Q96TemvM/spb2bWh5u32KoGn61Hj6IDOFsP73BXMmYGO7+euc9vKP1tZh92 +vdK3M/u/74B/Oxi/wO0d0cE+9WClv8nsP76l9N3MvvB7mfE7OhY7synm74Lg +tS6N+WK/wi/jA3BWkfN7lxeMQ8iHDwYLEWODJyZl7xNvI4aITiCGyhrgN/wu +Npgzipxlmp8ci9o7c328j/jc51Fn17DRnIm8Mc5GfhYy+h+fH7swJDmGeXxm +X4t4D7YSTmtycAJfRRvwT4Ym421wN5wuvCH4lXZviL5gB/Fzzg2+d1JgAOri +3XBWnFdFr3LeiT2+KeSFydgejA+GJPZArON3IXcOe0RcmXgI36zwvQDnqfi2 +jG8KWr95SY6N9VY9K5N9DXwOnsMGrQic8H48uz7qxD9ZFfXyXmI4jAlYl/gw +40/MgTg5Z9mJ24BRPor5vT3mm/ll/jbF3NF2+rAqnuPbBL6jIOaOvaM+2vRu +9Is9/psow33KbTkn8Ha8l++33o3+9o25ACOBWfExtsznldF+zglyhoDzA2B7 +ZPYesTbONhHHnxXcINiYlN/widjVq0PG77gu9vDMKMP+hcuZGTLYlTrBY3AA +xAHhAVoCd4A3wDNwJeglOH64fvbRqOR49kmar/OT/Tj8uZHJMeMTJR+S7Cfi +L56a7Pfh/8ENwzXDDx8RcitfnewD4gsuincRUyB2QbwBH68m+oVvyLdOnMvh +TM4ByfWdkxmno7/woeDUkKeGThsf+cRO6S9cB3kTguskb0zkTwrsxV4Ai02K +/dg/2sN+OTnFGajM3MmYiKVeFXPK/KJ3JwS/NzjZ78b/5swmZ4M4FzQ5+oIu +Jo7EOSTwysQog16eEO2nHvwFzuJgX+tCbvWRgx8eHhzzzOjvoOS47TC9t38y +Z//jzOfgOQ+/Ps7FE0+CC5ia7Nfj3xNT4wwhHBc8BfjshmgbMUjiiJzH51w+ +/u+f4je8GXHAFZEPB8PewLaC198OnwDfmWd5Dpw2J7AaKb/hysDFY8NfgNNF +xvckJjknytDGhdFO8uZGPXBu1AP24zzQ+sAD2L6bwv6R8hs+jbkgDkpck/yb +o8yW35SBf6P8VeE7XFj57ntPZHQD2HF5+As9w95Xws7ODlvL2CG38n4lnxMd +EHk3RBls17SwX9gX7BexRfhxfFb8WfIuC7uGL0b+bZE/PcpzVnRBYGh4Es5F +EXsHZy4NrAlHf1H4FMzb8phHxnVR4HK4F851sS7guXgejApWGh3YCb2HTCyc +d1B/67mswFPkk7ck8ql7cdTfJtY/Z/DwoWgzcVAu+gCPOq2NMTIcCRiS8wfM +Kfwf8baREetvPZcg+ZJkbgqOKkUZ/EHWHusObgud8PeQ8eepG96cOYVPZH7H +JsetT87sb5IPd9Mr7GmrT5fMy8HPXZEcNzhV8uTkcx+nZK7726gfn+DP8V7s +NTYVG0Fslhgq8VP2DpwsHEfXkBlnYgiUuSu+h+YZ4ty3JMcWT8+s0+kj8wgP +xjcLnA3uk6xfz87sf3BmAn6Q81b4JvBXW3xvbMELUQY/jXPK+LazY13Ni3kh +nR9rjHbyXRlrAZ3GfmS/wktSDj+O9TAm1sz1yfEF4gzoYeaDtq8MHYEOWR46 +CvsO3/ZN6btzzd9Ev2gj/SFeS1n0GriAPtE3ePBrk3nl0zKPzd9i/Ke3Mb9I +OXAE32KA5T6RX3V8k79pvLXZuPbiFsewiWX/N5mPwvdC99ZVzRH2VP21VXOQ +e0kuVD1me0r+V7Lt6p7ZVyQuS/xhY/I8wNduTrZFu0v+T/Ke6CH522S70U3y +N8kc4Y+Yx2Tb2FXyM/FtKd+Y8i0l56ZW6P4nyWNATOB/krFGl8xcyPbRhj8n +Y43Oyv97sm3Zg7FKXo9z8emTsR5c+CPJuKmP5LXJGA0ueU18i8o3qXxfyTeQ +xO35BpNvI/nukZgd30MSt9sY341+gY+j8T5tW8ctlxcdAyIWxHek7NPfJ68x ++PxzAh+Dk4+Co0jGwnD2ryfjvP0l/yIZ78P9P5WMBfeTfF8ytttX8ovJ2JyY +xvPJuLkvuDTZNsKXf5TMJR+I35G8vg7IHEPkW0HiiOgNYiVnBT4AJxyfjI3A +SKcnYwnOaYBtXo3vf/kOGKzIOQ1wOzFyYuV/Vfn34ntkvkv+Q3yDzLfI+Bj4 +GouTMRWx+NHBR3E2AHvPuXD0NDEp1gprZrPG+R/xrTHfHKM/OZOHbuS8Becu +/pl8DoPzGH9LPnvBGYx/J5+/R09sSI5DE4/+R/J6Zd0+1OIzE+zFTck2jrME +6J0N8b02323jA+ALrEoeR8bz/eSzIJwJ2arqMyKcFamp+qwGZzbqq55X5vc3 +yXPJnP4yec6Yu5eTcQ/4Z0DyGmWtPp6MX8Gx5yTrdHT7hcnfIXP+cEFyPBbu +a1GsD9bJuuRvxvAJVtPOomN2xO7QuejeG5L1Pvp/erKuQefMlLxNe9mwJnOC +2APswvjk2Dl24Y+SH4nvxPleHPtCfAp/7c6qY0DEggZJLz3Tzt9APKX0yXaO +PyypOs5LvHewygxrMg91e9VxKOJRi4uOJxJXvLtq/Uech7LvtHP5ZVXHiIkV +r6g6bkv8Fl2GTvtJ1WcjiLF1Tt6rfPsFH4HPMTP8EfQg+vBC5q7quCTxSfYP ++2gM81t17JIYJrr23XbWBZfAWTaZj19QdZyaeDVxF8ZjQNXxfngmcBTxe/A+ +HDv+QOs+qNrOse4GV31+AZ4DLNc3zs/sX7VPBFeG7usTZ1r2U/qi3v9Ck/8/ +gHMhnA/plvxtX9v4vg88zT47purYEhjkoKrjOuiA/lXHJ9BVh0heVHWcnXg7 +sQRwygFVx7HQB4OqjjmhAw6TPK9qvEA8/xu9s7uuuxttS7Ap51Z9DobzMHsl +n2vhfEvv5HW2utGcFXip9X9PVO/K+Oaab6/nxffsfNcONqdu8Dnf/+Oz35/8 +rT5+8Z3JPPL0sJX8FwA+/qPJYzQt/meBd86K91LftKgT7MaaRQeBx4jtMl6c +L+GcyV+ScfrMeJbvmvk2m/gq31nz/TNxTr6P5tt44qisFdY++ohvpfk2nnNe +22n9L2hn+0ocdGp8G0C7sfX4BKuLPkvAmQJ8qBnhu4EhuQ+25L8SiElfl/z/ +CJwLmZF8pofY887J/4/AGa855Bd9VoEzC5zvIea9a/IYTImYCGeeOPu0X/I5 +J84nHJxsj7HLx1dtg1mPx1X9DPEU8ClnpDgrdWAyJgAbnF01JgAbnFE1tgBj +jKwaE4ANTqralmPTT5V8YFvbWvbu74OvhrcekXusRyo9IbdtO1HpKbnt96lK +j87NQR+j9Ozc83SO0qG5OfRhnNHKrWv2VHpQ7m8m+ykdlHuMjlB6Zu65PEvp +frn1aV+lZ+Sey+FKD809TwOUnpYbT5ye+3vfmW0dCzopN544Ofc6g9uAV+mS +m6/vqnTv3Hiid+5vZ9e29Xr/P0kLl/w= + "]], PolygonBox[CompressedData[" +1:eJwtmHm8l9MWxt/q1Dk659Th5PzO791vI2meTqOkeZ4kUkTS5EZppkiRE5lJ +aaJRRXNCJUTci1SSJN1MTRLicwfXdC/fx3P/2J/fs/Zae71779/eaz9rVR0y +pu8tJaMoGlsiijL4PRyi6NusKNqI/DG4WYUoKj4vim7LjqJpuVE0Lh1F68pE +UTnamcIouiaJounY1kY3EPw8Y44wvg59m8FraIeQayM/B76Qdj/yUD56ATgj +jqIxmVFUvTR+UlHUgr756Eejbw4ug34c+ovQ34X+Xr5fPcNjSqPrQlsL7k5f +B3AWbQJyDezvxn4f9nWR++FzPHgg+peRL8X+fHBP2kbkHshdwe1pq5G7IbcG +TyqIolasvTR9v4Dnsxdty0fRFNZfJ4d+1pzC9xztH/gqxmzFthfj+4Kvpm1H +boV8HvhZ1nQQ+6exXw0uq2+gr8l8ZzDfRcyxUYb7stH1pj0PvoQ5jOL7mxhz +mPFLGb8RPBH7zcylDTYTwJdjvwXcEx+9wFWwuRf7NPtZGfwy7TPkuozfDt5G +O4q8Ankr+DrG7GB8a8YXgm9lTglzq097H1yKNVbA/nHsS4If5pu1MvwfZWL/ +qb7BOfoBm8/Ac9DXy/B/cg766ayhNWs5V/8f/hriYx/7OIAx6wq8Bq2lgPYC ++J/4+A08he/9Q2eT9hO+b0b+BlyAz7szPUfNVXPW3Ivpi8FVae2QH0a+AFyZ +9gC4MvZTsK8WW1cF+XbkL4LnvgX/n4OvpD2HfBn7dwX437TfsZ+K/l/gy5j/ +OHRHWEMfcIK/+9BXwt9k/H1Oa42cy3/0NfclHXtuFdHfhu4IPs7ivyH+PgFf +RVsrmf3oB26CzwP4noi8i/0ZyZh6mT7Te9mfkegfYWwT7t9N4JqMeYjxw5lT +Dd03nWnW/5juEPgH+n5Bfz1jvgfXZcxu/LfC/5P4H4H8ILoi/N0IbojNbOxH +4q9B8JnS2dKZvAxci/ncyv+ZzfpOsb65+GiBrzXI3zG/A/gYhq+X8/jvwNcz +5hXGtsFHiL0H2osGtA/A3ejbgL4lPofhq3rsuVdFfwf62sidGPuk9gBcJzZu +gn037P/DHEtmOSb9CJ5X4L1XzFLsysd+GvYBf5PwVwO5A/6eoK8WuGZsXA39 +VPR18fEo/m5k/XXAP9NKI8/A/0/6Fvajsb8Q+2nYN6Fvrs4n9o3BD/L9+pHP +8LnIS2n70S9k/BLwU+hP8v32/Adl2Z/T7GEOc+2D/WfgaexbUT5nAv19tIcY +81fGX4f/B3U2GdOC/a2Ov2fBxdi+x5hx9BUrztBXF1wZ/VPgRXzvBN9rh69z +kBciH0dui5yFPBGf2xnXH/8TgmOOYs+vzOl78GHWWMRau9FW6vzSGoO701aB +l2LztdaD/KnOBvNpR7xcy/jhzGMt32jJbxHzWQOezzf28L15yPPACxh/jPFt +mE+m5kffPvQ10S9QLKO9idyMPZ2p+ELbjXwD830C/AjtbeTm6B/W/4+Pi/je +cZ1v8P6UY1kn2jLwgZTPXmfacv1/vHf3MOcxjJlKe5u9nIE8Nst9h7BphG1X +2jOK14nfvkrMbyF4ge4gckXk+Yptuq/YdqQtBW9mL77H3xrW91FZfIEn8Y1p +Oe5ryvfL5fu/vhM/e/L8n+q/HI/8NPtzSm8d+mz8L0b+Crkjcg5yc8bPzLft +9FyfcZ11zWEveAn2p7HvhH0u9gcVg9F1oa0AH6LvS+bYl/N3ivuynz08zbfX +sZ739V/pTmDbg7YaPJW+V9Ffzf7fAX6WMS3wP4Xx5bkbu+g7hr4e498A30jf +65m+c7p7r9P3BfpV6HeCh9L3WqZjtmL3bvpOoa+P/l29V+XoZ08qM/9izuVw +bHZmOsYp1uUopuguM797mN9y5tM0w3256B5i/Q0ix/Dz8HcDfa+C22JTSbEG +fWP02XyzQO9h4ruuOzQI/E2huc/ljPkS/Cj2RdhnYX++zh9yo8gxogLy5YyZ +wN4cZb599V4WOLYrRuWjP0A7A27ANz7Q99BfzLpO8o1PxDdo2/QeM74M4+cm +vkeKEbPBtzJmB+Ob4HMSuHy+90h7M0t3iL3qwf85JOf/HA6bndg3xf5O/bf4 +2JFnn/K9hFYfXIX5LAZ/DN/ZSRua4zOxmr5m6C9Evwq8kf29hL27Q/GN/Vum +NwN9VfRLwYM4j5Pz/QaIM12BzUuZ5lTiVsu1B8ynFvbLwNWYS6Xy5lb6j9+h +7wT659C/DS6mvYE8kD29J5hjiWvJ55XgFYnfrmrYLweXi30Wa3MeijkPKxO/ +lRegfwb8YtpcIhebl8Cn8Pkj/mvQdxJ8qXyi68o3LhaXSMxd9zC39uDerKEZ +a3mLtW0D96U1R34f+U1wf72HyEeQ94F70Joib0deDz7DN/vh/xB7fCLxG6a3 +TJxuOfjD4LunM3IQ/JHkyBz9ELhNYm6nN7xt4jdDb0cZxn9R6DOqs5qFfBx8 +dfBbsJ7x1+j8B//Xm5GHgK+nXYG/jciDwZ0Sv3378d8Z/HVw7BYHOwN+gr6y +Zfz/zgF/FxxrxTHOgjsk5iLieB3Bt3EWFrDW2jl+E/rrjpQ05xkA3ktbHDnm +7AO3Tnx3xCl/Zj/+G3w3ZzGH38Al0J+bZQ4UgVsl5mLao7PYr8dmRGTOvAH8 +XvBZUkzZo7eU9ljkM/Y38JZgbq0c5gXwr8F3eyZ9v4C/KjTXqViKMeI7ad9V +cVxx3ZXBXFYcfxW4JfM5nOM1HddZQD6U428eRl4RzAV0B54R9wvODZQzrQN3 +Scy9xAG7Kv6kzd10Zr4FP41N98icYjG4R+LcSd/oqfOUmIscRO6u9z/4rdWb ++pTe0uDYqxj9Frhb8Nu1Erm7+G0w912N3Ef3IThWLUZurb1MOzdSzFfsvzg4 +Vi9C3xLcNDj2K6drJr6DzQ9lnOMo16kVnBuKY9UGr0ibayhmK3ZXDX77lTNW +A1cPjhXiuBdpruJkkXOcSuBGwbmNOFgReFPauYZilGLVccUMcXf0J8CvcRYz +iDkTsx3j5gZzYXGSJzX34FxWHLi+/n/xuxKOEafBjwfHCnGQ2cFc4V38jc01 +Z7g/mJuJsz0gLhnMVcRRHtPZD+YOyjH6glczfhbxr2VZ35Hp2oMMc8xSxJ9R +iXMvxeDR4PuCuaA40Szw3cGxWTFyBnh6cKxUzL8LPC44NorjjQePCeZ6W5HH +gscnzn3E0Sbo7tPXD/0W9H8BjwyO7S8i3wTekHbsfIc9yyC+TgmOreIEt4N3 +sb+9yvu86g2KWMPNysWIx3di3y4491mGfXvNJ3EuLU47VvEimFvojZsMnsz3 +KmbYRwl8zSkw11MOHgfn+Mr19Wb2V32Avl6MX0FfV8WrAnNH5bBpxbLEsU0x +Yiu6V/UfRuYkr4FfDM69lCO/FMzxxfUX4b8o9hq0lnnI9ZCvTJyrinP2S5wD +KhcUx/ow5RqHah1LsG8eu6ah2obemFbIw4JjsWLwUN01+jqz3oXoG4FPp/0O +6wx/BR4UHKvFOa4LzmmV24qjfpRyTqvcVpz945Q5uri6OOCmlDmcuJw4+2Zw +R76xJtMcRFykf+JcV5x2QGLOK+4rDroh5ZqLai8a0wncKvjuj2H+lwTnbMrd +lCN8knJOpdxKHPI95ceFfqvOVw0EeSatTmnXUPrFfrP1dqum0Qf5WPDd1Z3/ +Enxt8FumN2QgeHDiWC0Oc0Nin/L9Cj56FprjieupBlBFuTpnc6Q4f7bvXO/g +WCeO2Etnp9BjlcMrl/97cG1MOftR8LFCv63KyZWbD038NokDDQOPCr4rukM3 +B3NScdM/a06xa1SqVanm1C52DUi1INW0OquWk3YtRDm2cu3HC8z1yuEzFfwG +6S3SG3wSfEvwXRaHHR2cYyvXVk2iInhE8F0WZx0O3hFc+1FN6JXgnE65nXKK +jSnXxFQbU07eHdww9lkUhxGXUY6mXE01tWtic1RxVdW8BiA3S/z26E7txf6u +tLmSYppim2piqo0pJ6+g/yNt7qQan2p9ylGUqyhnGIH+9+C1q0bxP701se+e +agKqDeTF5qI6QzpL4mzibsv1BoBL5TlHUm6kmD+7wFxYHKIwONeenmfurJx7 +Yp5zQuWCytHeyXNNVLVQxfhH0uZ2qoGpFrY7zzmccjfl4E355uJMc0RxRdU0 +VNvQG3iiwDmXci/VANbr/gXHQuUMHYJzPOV6yomGxM5ZlbsqZ18L7hn8VivG +9RDfiL1WcVBxUeX4yvVVcxkkrpz4boqT9E5c41Stc5VyoNg5qnJV5eBrUs6J +lRurZrAO3Ca2rTituK1yTuWeysGGxa5hqJahnGpw7Bqraq2q0aXA29KuDekN +3QqekjYXVkxXbG8cO7Yq5in21U/MtcVxlvG9tsHcQzW3NsE1C9UuVLO8FvsW +sWNrF8Y3id2E//wPFEuD3wLVZDqBz/J/byrvXFwx4A9iOP7W + "]]}]}, + {RGBColor[0.2900108775, 0.3192062175, 0.3421045975], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmneYFeUVxofdvfcytF0B584dbmxpdowaO4KoGANqNPYOFmJLQ3RXY7Ar +JmJsiVIsWBdFUJAialREQQMYI4n6BGwgWCgqNgg+eX++x4c/7n5nvvnqKe8p +s1sO+c0Rv25IkmSJ/jSqfbGUJPuWk2S6HtrUt02aJE90SJKFLUnyYI8kGd41 +Sf5QSZLt1b+vxk8sm56gsaNifJ/E7bZBL9fcU3omyZSu7tsu+g8t+Zl9HtE6 +O6Rer117dyh5zRWaO0xzT9PcyXq3k8ZMUrt3J8/jbDvq/eMad6rGzFB7vs45 +RPSF1STZtClJakWS/Ed0Lvoitdd1TpLeWueEDm53Cpp77BD34qwDY9zHda2p +PV5VO1t7H6C+59R+pn3W6NemsdP1vKf6Z3bw/bgX93tD+9W078VqF+lXFd2m +dlud6VbxcUe1Y7onyebN2r9LknTqlSRzNO+UPEn6q+8A3ecxrb2r6ANFL9T8 +1pruqb42tY+pv5vONlFzp4j+ROdZKd6cp/3P1a9Re0xrMY/gD/s81MN7XaBz +9NR6mc4wXHQP0T1EX6cxEzSmj9Zp1tx20RPEi1e7Jcmnou/u7LvupV9dc26p ++Bmac9EPPxZona7at6fGX6H1d9X7Llr/StG7i+4m+irRe4luEX2F1rlcv37i +/1itMUa/VunCY3r/TmpZ0r4b9LRGj5/T4LHMaWv0Oozh3aX6jdCvr9bcpOwx +rDk61kd/Hm/0mOe1znvqW6pfpvWvVd8y0S+qf4naSyrm0dQm9yNL9mE/zoP+ +j441GYudoEvoMfQNaqc0eQ/Wv6pi+oWGjWeaoblXV3wG3v9KevCS9OEstSPF ++wXoNzYovhVaY2vxbWHIEXnun1o/t9DzZXreXm1HjZkf8kXOl+u3k+hO6v9n +2Ai28nKsydpdJLfjtF8P7fWvqs/bqva2ivdgfezjYenRx9KTks51DfigvqE6 +73zd57+61yVV60VSWO/h2eaF7QG7+KHoP1a9XoPo+0U/L/pNtSP0+4HoJvVf +Knpr0WXRY5F5rN8aZ6sXtm1sfKvC9sk5X9OYQWoPSb3WFtLJ62VvO+jcC2U/ +O2qtV9Terfauivc4pqNsoNGyqKmvpeznVOsuFX2LxlcL69amansWlnd3taPU +PqGxB+jKAzT2QP1m6blZ75r07sGasQkMSvXuT+qbqff7a/x9ou+tWGYT1T5c +sc2UNHeBxl6tubdXLAP41VgYj0aov521K5ZrZ/WvVv8Y9Y+rmF/cvav616l/ +PP1hL5vE3VrjvmPChtDhGys++4E629Pqn6axB+m3Ouz7Kb37XPTroheJvqlu +jLlV7SXqWxJ6sDT3XZervbnJ+I4tDKkY53neEFi1VvRfNXZDyXSz+jaonacz +fKYx88te82K1r5esB/1E99VvRqNtBt+1n8YfgA6ULY9PArMZf5HaV0s+f3/R ++5Utg+fCttFR8ABcADfAAdbun9g39gn/CL6AQeDVPviksp/3UturyfOZx3ww +ZAvxf6TozdR+r7Cd91LbqrG76TwXacx2sqPR0s/DpZ/3SZ9n693rah/JkuRJ +rXuxZLdYzwO0512ZfePMFvtH9II7ofOnBG+gh8kup2vMYI15PzV2caZ7q77z +v9WuUN/y1PoIpr0T+Hl2T+M+mP+Axs3R+H9UrY+HhDw+VvtRan3Bdo7Wb7b2 +/VB9H6S2ibfVvpWar/iE+c32C6tq1oPVNWPee4F7rIvdYuPo76CwX3zguO72 +g+DEtCbjCLxBrpuJfklj5+l3TpP593iTceFp/SY3GQeL8De52mea7GPAwe/r ++c/q31Lt3/X8aJOxFV+NnwPLOhT2c/jhF7TPnNTy/pH6b8DW1I6vet1X1d6j +37OiX6van4/tbp++LOwC++A9vgEsm1u3/DdXe3fV53hF7TZa9yat/+PCcpje +ZLz+IHes8ZbG3FX1PReovVJrf6j+xY3WO2SODsODxan5AF/hL3z+NLWd8AwN +dgxNzMu5Edtg99DoGfydF/3gBPJ/qcFnhAY3TpeO3qn2YJ15fUfjCBhykvpv +xEYL4wr9TzY65kDX9ulk3r6YGjPAcvQbfUZXkREyBb9fDP7TvhD0mtRYeVxi +HoO3xHj4p5H6HS9658I4iv/p0dkxTnuD5ck6N4QOI1N0jBZdBtsHFsZm4hr8 +/vUNxk9inz0DH9elxnHuf3JhTEol0zNTY/v/NOfMwnzqCnYWlk+nuud+HeNY +D92Dz8eIb1doTN/CsSk+mHh4VWodHah352rMROLrwraJPNATcJDzz2swf1YH +T4dr/CyN/6XGFxXbD7LdobC+48Pv6WRZbxYyfylo9l0Z59umah5PqTk2Hx58 +Rt/mBD9fLllX0BPiGs7EecB+fADneBTeiJ4cPhA+LGv0vpxjbuQJ4Aw8B2ug +ibPmlYzlcxusR8TC6BLvj4nx+Df68HGryl4fGXWpW7Z3ZI6P0UXGfqn3X6XW +V/wsNL52apwZP7U+9ZnhOznS0i7OUdhn79jrcY3/Jt0475u4L+c6NmKOY+Oc +3On3NedFC2qO6fYPH4aPHh1xLHYPr+EzurYu3cizdXGvowrH2MTavUIW+KbO +dccd4zLjM/EMWEcOiH8jLv267LtxrxdK9m/E2/hs+I1Mwd3xnawPyAYafMA/ +DAofMbXm/G2Y2tML8xl+M/aemPtUyffn7uRAnJGYfG7JfhQfik5wnpV6flu4 +VyLOUDuk8F2404mFfXLHumWyPnSpUrc/vz3zO8aMzmyT2OaYzPEXMc2i8OP1 +juYZtoLNgCfIAJwEG8FKaHwtcRBzsc9y3bH/bZlxaE3YGnqDPoHJxHtfpN4T +P4avrEX7YdDg3Irwy9gu77AXbH1V2N30iMk423tlr4+u3lf4/Pdm3nt1ujFm ++yLOydk/jbuMC9wfG/6XeGt4Yl+xJPwFcS40+QzxC74a3hErEDOgGwdnxqHt +Co9bHLY/MPMZdwofy52Q2aGZ9/9pYb9IbPpdrgaNDU6P2A6dvDTiiRERs38b +Fza6XRtnJp6Hviv2IbYBE2jhJ74Dn0g8dG3kW9wni9iPWAXdw/9D94z27aCJ +oZhLrEjLWtWINZbH+uRO+BR8y5FxlqUNPhfnGx51klFRx6D/sxi3e+F4hxwI +Gc/qYPwHa8F7nvsEvsAfbGh8YCM+jFiSMfsUzmnIn7AtbAycGVA4VyAXPLaw +rqKz54atlDTmRNEnpNYpsAr8Aq+GBYZ1a3T/hng+vrB9VcLuwHFw4xeF833y +frATDEU/ieEWVBz/oo+fhy20Ee9U7IO4O3eeFXdH59Et7r0ysBV+kIMyhjgU +n1dEfPRR0LxHDozBj2NfoyJOYQz+CL+BrqAnyI0cEV4O0fvBqX0FvpT1mbdf +4VztsrjXl+EXBke7tsH8404fN7hGQ8zLWbgv9n9F+Hv8/tjMd1kZd8QXn1sx +NmIX+CRkfURm3dmLHJT4sWS8quj5DT1fXzP+c178JvEOsT9YyV3IDZH9/Jrj +lrOqzgvBeuTFe+biO2ZmziXWVL0W/WsDh9EV5LpHzTHdR+T4ussA7dVad04D +jTzBa9Yn5gHrZoXfb9E656fO89AhdAtfdVHErfAN/i0Kmhya2hbxwsMl54bo +4dKIM4k3Odd5cbZ1EdsQ4zTH+ozfrebc/MPCd+F86Py43PwcmxtTyGGx2Rtz +039R25Y7f2zNfS7GczawlX5i1PbcsfeDai+kRoOeq30/d4xErHRV7hz2yjz8 +R8lx+PjAT3CUe3Bn7tIYPOecu9ac235QOP5oDJuFh2uDJ0NTy5U4Fbmhl8hu +dcSHxIms3Rh2fUfk3KwDn84PWWxddXzxVm58eyLiK+oIrH9PzbkHscghcRd8 +JHxYpj2uUn+m/kMKY8LhastVy69P7poI52hXe0RhnDm6cMxGnEecQZ2DNfET +a8gdNHcrzf1Z4bhnEDVMzZ/CeTLXFaCJJYjJyde+q0/iL/FDYCU0uDos4pPz +1a7PzIveuW1hSNjSobnx87DcNV/iPPCH3IKaHPE4OQ64Qy5DHIbNoPPMo5YE +9oIN6DaygMfYAHwuVV3nGJEZJ/AfYBa56fSIu6hPzIxYiBi8CHx4omZ6Zs3+ +49u6S4P3QQ/XRl4zOeoSO9Zcx3i/sI+bFrHWbwNLmIvclsU5OSP2w/k2RF2m +W8TG+Af2wc7BbHzPzjXXVVbgZ2quzywHL2uukyxDzuLjGu0xNfc+0PAKvAKr +0DkwBWx5KItaVNm4sW9h/OxfGO/AvVE12wN20Z45dkZ/wLj3tEdF9DtqN9W4 +7UT3rDmOHhW5G3U96nu3qt2zsI/uU1hP7yj73ugIGI19/q7m7xh/y/zdgP3w +owMD4ydFDQ4dGou9FvZ9BxX2C/hX/Ad7nhh8BOtOiH7yXs5JrI3NcS/sDlnB +Q+TFnTg/5yD36R+1LGLmflETQwbI4sHMz8iCOGpJxM8rcsuG/gcy6wS6cX/m +msSMyAVYl3XQPfSRMXMi94XP8JC4nbgZHUPXqZ2SpxD/HJU6FiGP2CdqZcdV +HOsxBr09MsZQ/8Dn8Q7ZMpf4elXuNVeq7dDL71eDtbl5gEzQLfhzX+b4kXXw +m8iIbzycFV7DZ3D7gsJxyHPyWedRe2v28/YR54I/g3LrI1i4Sw/hT4tr33wn +GdnsWIxvL1ObHZeAP2APc/m+1Dvitn4VYwHv3gmd/Ejtwtw1zwW55VkJvX1W +z1+o/5nc9fVyi/Pq3oXzil0K13/Bx0trjs0Xx7nxacwFz8F11sdmqZNQN0G/ +4CUygP9852lpcezD3SZ22Rg3tUc8ib/EBidkxjpsk9iJ2jQ1wWtqzvGpfWOv +zAEPwFi+iRHvkq/uWjjf2KNwrsyd6MdPEjcQE+K/qJUQN1AroJ6LHRCPUP/F +z+AHbij7rmfmtoGham+puyZ6cz2+mTX5DugQOga+EWNcGdjFNwtq1uAmcTQ5 +Lf4cDBwZcRTYSLwFPuIfqFPD19Nz29sZuc+zMjD/u1iQWAv9PTJ0eGLUA6kL +PhI1WGqx1JyQCblS74ptn+eHo5ZITXH7+G7I98NHox5LXfbp8D34nb0Du/aM +/K8hdQ4LX9sCnzcpjOmTava3U8MH4btYB5n+JHQMXWMO2I4cJ0Vdmvr05Phe +w3ebTeObyAnYU9SpqFd1j+8jx8X3E2yP+J+9OcPkmvlOzkn8g99E7sQtD0X9 +kzooOts79PbNzPLrnDtXKCJfaO/q57bgOdgBnvSMPAx9PqYwVlNfWZhZrh1y +60dr8Add5jzE2ROipkpt9bCIYYhl0G9iWep35OXQ+CbwEtwkpgcn8d/kyI/U +fb5JdeeIxFLgOToNTU2EvBIfD8aSTzMXjEXHvwjdQh/XhG8mJ8V/4wvWh60w +BqxmHfJrauqcBwzn7JMjniT2GBaxN3hNbNA38v3JoYfs/0ycnzWejXuxJ3Kh +hnJg+DX8225h19j3zyM2I0brF/4av31kxHjEepzxuTjnt9/kwk7xDY/G+ug0 +ejkgMZ9mB6/I2+hHVznv03F++ubEeGTyfMhoUdRosH3qrfTdKfk/n9n+v5J8 +J0aNgloFtjsk7PfU3H5rcO58CWx+N7ffRqfx1+B+W8SEveL7zimF6/XkjUML +1/HAaurO+AXiCfKBGVEDoRYCHmEj+KYhuetxp+X+bkSdYXDh7xPUUE4r/A2D +bxknxfe9oaEHb0SNnVr72blx+Zzc3yfIgc9Qe3Jun83/HTAHuwO7GsJHgBv0 +DQ17xJ7gIbY9O/JQ8lHuDI6D4dT9sB/qF1PC5+HvyGX5TkO8+n9SOf/o + "]], PolygonBox[CompressedData[" +1:eJwllneMVFUUxu8OO7PA7rIDs8y8uY4RazQUUWlBVpFmFASxgoWmiGKN0o0J +iXWJiGgsINgQZelVwa6oFGUXuxCDbRFFEKJGjSXx9/n9cfK+c++555537mlH +j7v5gptSIYQtUDl0ZgzhTr6LK0LoC+6ShJBuEcLv6RDeAgeomQN74OeC19eE +8GsuhOnVIRxsHcKwfAi3Z0IYzf4m8AvQmfB9oVOKIUxA50PoHoiqa8BL0LEf +2bvYH4XsE9BZ7L2JMcsLIfRCZiHyx8H3BE8tcRd4EPdNB/dmbTLyzyBzOvhe +7mjMeG0zusazNoe9AfBXg5eyNpD9QVBPZIeytoK9NcgMA09hLdUqhFJLfAA/ +reS7emDjvdhTh73LwW3wSR/w/HYh9MMHa9E3vMo6pft9ZCayP0T60d0NmweD +u0IjuW8ea6fIv9Aj4BL7ncHz5C/2X4dfyn3HoGMuuv7B50eDL0TmFfY3cOYi +8A7urqoNIYeNtZUhdGdtQrDPeoBvx55XsecG+Bng9uj4LWWfN4AHIDMX+Qa9 +CfgQa22RHwl/AJyH7k77jM7eylu/mA1hDPelkTuZtSfTjhHFynzs74u+N7B/ +Gfafg86ngn1wLvjNxLE0h7M3IruzYNlaqAm8RO/PXj/otKJJeBtnruHsMOg1 +cF/0fY38Kt6nodoxodhoZm1LyjpO5Wwzd3bkPYdy5kfOPpf32/ZmvyP7I+Bn +gm9hvwl8IXQH/AT4d8D1+Hci/n0G39a1dgwrlreyfzX6NuGLyfikFWtXYccy +zpwNfhGaiuxXyFxWZl99Da5lraP8hv0TsXUftD3lM73Y6w4NAG9H/7XIfwvN +Zr+Cte/AB6EsuMj5/pydjvzGjGNqBXe/3CaE27BnLLbUY/NLWb+Z7tfaH5z5 +En1foP9udH0H/17KOdpVuVNw7OWgHeBpyHyE7Az2h6C/EX33oe9kfDoJfY2c +WZmxjTvARfzdnrN3Yl8E51hraOF/bq/3jI79DsicCv6MO94GF6BPwa9gf33O +umdV+k7drRheCf4EmbeQzUMfgz8quFbozg/BO7mjS4VzWLl8VMl5qZguO8I5 +q9z9V+8N/oW71tW4dumNP0DHu+iK0PvgxsSyj3J+CvcfQue4Cv/T///GWv+M +30xv9wVnNnM2gT4H74W2pizTjf1D8J+k7NPp6N4N/w6yRWgX+DD2NCmmql1T +S9H/eg93HgnOQr3hs/BtwW/zf43g4fzDXvBI1u6AP4N4GAE+L3HsKwaHgNdy +R1na//Az9vxZcKwrJhQbhwuu3bJRti5QvU87R5Qr6+EPw9fDj4dvDX8gZZmF +4AZ0lle4Rv3F/iJoXcZ36u517F+OLatZWw9eBP2VcQ0+hOzjeduumLpUtQlf +rOXfVvCGy6EF1NsnoE5Vrrnl0b1BNT8NPkexLv/xls3ITCr6rsHofBbd32PD +tpR7QA+9JfF2Ws66B3Pmh8S5ovr2EP4M0bVZOVYGTkXH7mb4FuBJOcesYnVc +tWusam2EXgZnss5J5aJsUs1S7ZJPJrP/SMl3bUDuh5JrrmqvcvxnYfTXsLe0 +0jV+dHQsqEeOiq4hqiWK+aaie4R6hd5oA3gsMvXs9UN+DPjK6NxUjb4CvIc7 +O2adI1vBD6BjV8YzQGPeb6y3Vg/YC34MqguuqaqtZYlrp2YCzQYPl1wHVQ/3 +wj+N/KDgnFqDrauLjt1trKXhn8p7FlAOrFbs1fpN9Bbr0LNQ+RVcI1ayn8XW +DsRD5yr75K7EtUwzh2aPhcTGje2cE02cWaCcy7gHNbP/ZN6zgHJ0Ffry0b1n +JvKF6BlEs8gMdO4GL8k5phRLysnW6uHl1lkJ/kb5y7+fDt+Ju46Jzv370Xes +ZhPNEOW2Zwp4ePSs0ZO188Ft+N/GGvduxXhd9CxzIvt9wN+qHqG/Dv1d0P98 +3vgM9RD42fxrtxr/q3yyDFtn1bhXKUckI9ktynl8dVR0rVVMdAAfH117NCOd +AK5M/O/KaeV2LroXqKbUyt5o25XjNdEzkWajJvip8J25rw/3vcfamMS9Yl/W +b6meURU9Cynnq8EnRtdazYQngS+Jnm1U4y5W747OXc1IncAPJp491aPVq2fq +TTOeyTLYcnn0W2qGuiy6N2/MOjf/79GJfaGep943PnEv18yg2WFC4llDNVu1 +e2zif9Eb6C1Gw7+b9pvr7a9L3KtVU1Rbrk88+6mnq7cPUE+q8IyysuSZR7OP +ZrrD4KuiY0UxPg68qejaoTM6O7PoWqOZbiPy/aJn80745yzwgrxzWz1xRcEz +gWYDzUhDsWVf4v9Wzf0e3DL6bDNrrcBnR89+iulB4J8SzxrK8f3gadFvqxhW +LGeiY1M1okKza9G6NEPuynum0mwlH43i/OK8c0MxodhQD1Uv1cz4N/g/+amr +3A== + "]], PolygonBox[{{7378, 5236, 4328, 3427, 7316}}]}]}, + {RGBColor[0.3284250725, 0.36217293250000004`, 0.3856989525], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmHuQlmUZxl922e/j+1j9lt3l3fdd1hAqZtIEUZEmTS2tTIFdWMLTDOEB +UzkV5YKyk9poTC7TIDbTP8pioaXYggY4cj6axWEBnSZrEg8t/cG5Ipsi6Ppx +3Y5/vPM87/M+z/089+m6r+cddtecSbOrkiTp65ck1WrHlJJk2IAkmVyTJC3l +JLlAz3iNb9L7HRrfrck7yv7GeFslSRY1JMn02iQZMTBJPqvnjL6tLiTJbZq/ +QXI/V5ckT2pOW63Hbo/xNVmSLJbcYZnl8u1ltc/q/SGNl9VeI1njJHOBxmdp +ry7JKWpsTcFnY587QiYyztf5x2v+Oo3vk4xtUmq/xl9SW1Vj+R06T0FyHtF5 +7q3xef+i8U49M/snyUad7e2idCz6fbdk7tHzU/UXNiXJPLXzW7wne3dJdqVR +75LZeF6S7Cp5zRLJ65X8rfq+T/1Li5YztL8f5m2q9tjuGH9ROj+uNYPVptJj +sJ5jOt8CfRtb4zPin20h8yHNm6rx4zrXPtmnrtHrOCs6c4a/6lu75kzX3DWa +M0hzVkn3u4u2CfM+1JxJ6t+tOYPzJLlI9mtQe7/G9lbbPu9rTpvev5XZzlfp +OShbPauxguZsUDx8oDkT9X6n5hxS/5vq369+X5Nj6tvq/039KerPUP8pPXPU +T9QOl17bw18XDrDdetXfKbsO0vOkzvym2gY9i9R/sFm2kw7z1Z7W/E/r2aE1 +8+Sbr8oPK1usA7ocV7tX+2wJmcQrcYQviYkhZduKeCK2GfuX9hmjZ6Xm7tHa +zVq7V+MXDLDvmM+ZumTvHq15KPZl/yll+4VYQlfOdqDKfrmkYJsT06x7V3M6 +csf0vtw6MH9yYntgl/bE9sP3+B1fDR3g86AT/bbEfsZ26EiMMH9SYlsyPlH9 +EWqrI97wD/Kx+dmyc+G+xOc/G/1X5a9xan+RWh4YgUz2vLzkfZ/InEsfNXmf +K0re650aY8IbodPYkvXaXLLPdoR+V5as454q58QE9W+SPb5RsN0/pTmXaU5r +4nONCJxB9oiQj19Gl7z2xoL1QxZ9dOYd34Jf+Pv5Ztsc26+Sz16S715RO7po +H+GrN/X+Xr18pPZarTleNiatkF4Vyf699lpR5fwkN3cHThAbfD8Tcyol5wz5 +skjnXVn22KY4N2cmD/q07nH1O2qNY6whpiqxtiNinthfX3AOgnU84MRmzfmZ ++mck61S18Wt4YBr2Px1xiP7by87nzv6ex/m3h33A9heabbdVqW0DJjL3t5Lf +WbDcj32DX8aGLOSAB6cCE/6n92Pq96i/WOs+qvE7e6M7tgIzkIP/R2bGlFGZ +awM1Yrjax+qMBeTc+tD59sQY9YOCcWp84CXfqBs/rnWOPaxvS0uuO5WwKbl/ +XDq2au5q6dgpH9+o8QUtrh1tBedQMXzF/Ab2LFre2Nwx+5LWnpScdn1bm7pW +Dim6LvS02G83KC+eqvIZNum9q9Z6cDbqAjFH3HRK5ibJWZm6DpzSmmWJ85V5 +xPBcjT+mOX+Q/HGpbTBf9nlPe7TqW2vYDLtjc/YDa8hh4gP/EA8PaP5i9Ru1 +58W5fb48td04F2s25K6D69XOLtr3+B08vClysyO1n/dSx2ucb8T1CskZVev8 +IL6Qw9pjstV4zfmN1l2eGyd+ldp3PbX2H3VzQsG4NSY33ryoOety+/5htce0 +X0X9I2qP5dYPrAIzJxaMabNS22BLZrt+uWieABe5p9brsRm6gsPtmt9BnGb2 +PbEB3m5UO1LzF1RbZ3CJWH2r6Lgn/080e981qceIJfLhSJzzuNr9Gp9U8Bmz +3DjTlDsviR9yc1mNc5j8OSqZN6v/amqd0X2B2qdrnEvkEfjPHGoBMUa9w69H +mn3OV9JPsJI6Ts3HFtihJ+KHONoRmAA2gGO7okaA6WD7v5sc08Q+eYQu6MGZ +qSPY++Nag3+pQcsk47mS7dZd8jv99lrbtDHyiRa5U3WOJcRD5u+s5VsSPKFf +5rFlMd4d8ojxteI2/2wwRuPbQtl2HyTceLnB8ThMc3oa7Mtn1H+jwVg8OHhX +qnaRxn+t8evKjl3yhbzBBtiP+Nh4vnKhwVj+lvqn1P/5QHPCrrAPGABe8A4/ +gw+caDKvhd8OVHt15lrypcyYxT74A93QEZtcEHyX/ITbwTHhhdc3OWaPau2o +3Bj8Qmo+gt58qxpiWf/QnNG5a/UvNefvmc92MjOXot5Qa3pzxw7YcGvqWvSM +5rSm5gKPq7+8bPyn5rJXW+QRtYj4BO/A3a7AN/yFL/ETtQvuBZbOy80FVqTW +sSX4PHp3lz7B7O7AzMXBz7AtNm2ImOmU/Z5A32rjx6rAEPy6KPRaqDlPas6h +auPQ7MCiHo13F1yn4YfjCs6n6alxd3XmeIIDUvcvyV2rn0+db2BBa9R39mMv +sLmvxvh8MnWufkZyntZzUP0lah/IXDuoIcQNe8AvFmbmTD/KnK/vRMzdlzm3 +wMJDqfXJMsf7axWvn5DZ58TFvZlxFXy9J7Pf8f/cOBc8Y2vBPAwOdkvZnI+6 +MFzyflJv7B6p3Fla73wdo/Gv631/f/M++B88FF5G7aaG74k6RS27XvO/Vmff +0y6rd588mBLcEnnP1Vvm/txrD+Qhq8q2Bhs5Z3vgN/UV7CKHyVHi6q7MfiAP +vpPZl9/NfMejnuG72Znr1pzMcQVWEkvExMmol0OCE8FJrg2ud65+Vvud/muZ +569Vu6DZNaBT7dzMdet7aotNjq1ryW89h7lnZeancB72AKefirrcllmviYEN +R6uMg3Cag8ELefAdOTkts22Ix6mZseHiuEOsDvw/nbqWjKbuZOaE+9TOjDo9 +cEjEQuy3PTM325a59pwJjkuN+SjueODbbXHXfjp4HHbbGpwN7sY5wWpwkjjF +vvCYd6NFr5HhY+6LD+auwfCXz+e2DXfNHVGLqcncG+Cv3KVeDywCk07kvsee +zF3jwGi+oRs6zsoc08QcuHpp7pjlvsudg7sHtWtGo3GcXJzWaHwH26/Ife/i +/npl7rnca7Hb0eDqYDG15VytqLGefOMOxF2IO9lluVvu4tzReyvG8t7AWLD2 +UNgS3PlA3++sM15eE1yM2Pt+Zm76YOYx7Eb8XBX3C2pInzjnTuXUthafHf4C +FrRK5vv1ro3TJPuDetdIfF0Jrr4uNcf7YW5bU9vBqRkVr2E+OYedyIdbNfbH +eteP7nrXV/KSuCgE54c/Y0sw8gshl38AuyIX4Iro+mG99cVv5/6LxD0XnCW3 +iTtim7s5NWFp1Aju0oyRs+TcmdBnWdyBOAdYf0vg2+9ajGcXttgn8BTwcUe9 +/2dNj7pFbQNPk4FeS73rCA43L3NNeCTqQnfmPFqa2d5wIGwOrsENVwTvIm84 +a0vwLPongqPCVblztMa9g1iAxxMP3B+oq6/n5sXjgxvfkBsXuX9coVqwpM41 +EDzeHDa8LrdM7jpX5+aK8Mov5uaH8MSv5OaucFjuUgfjvw91nhqE7vzrAqOo +veh1oGjdqJk3R92EZ9XXOR/+nDofzsvMeScG7+2NfxbYnP+CF9WZQ8BrVsQ/ +L2p4Gnc56syW+PcyWz6aXPHeDze73S4/9kW9pm7Dud+Of3e9wa/gWchCNhwL +3F0c+D84cpdxat7+8Nf++IdC3Z3XbM7C/7//xn2Hew+xBe7hv32p62t15rxB +1/b410GtbY87al9wSOLqbNRdMONw3Pd4wAL0oQ8vBTP59zmz4nyC7xwOrOHc +G4M39hviHB3a4v8iZyNu4WzEMHkA5322Yr7CGOfgDHUaf7TO3O1PwcPh4ztT +37H/E3dYcAjMAeOoVeAX3OpkYD0xszz2uiZ3rHLnKzT5X8ijqfMTv2yI/zlJ +/MM5GnWCveHgXRXjDRwI22E3zrw89LoueBP1+f8Kwin7 + "]], PolygonBox[CompressedData[" +1:eJwtlllslVUQx08L91ZK8V5ovZwLfVA0JhJlk8WNTcSgAi2lGu0DIJsoUBSF +UqhoDYpCYyo8+MImCkKbtCAWwiIRwbhEbEEfXKLEmCKLlKLBXePvnz8Pk2/m +zHJmOzPfdTMXlVXmhhC2Al2BOTGEqYkQSsFng3cBFkO3I5QLviIbwsFkCBXw +mzIhXOQsBZ3MDyGnbwgj4U+E/hydJ+Gd6xPC8G4hPAg9HN5Z6GHQ5dBDoc/1 +RhbbD6BzF3QBOheg2+FvBn+jVwiVwMm8EE7g4IJUCDOKQqjrHkIed/ZPh1DC +2ewCfAZ6FoZw6OoQ1sJfA90PG/XYasLfTvyt4f4vsLUCW9XgGfir4G+B3w7/ +sWjfpkDPBb+ET7OQb+iCLPj1nP2Lf5eQ2QfejM5hfM+F3kMsL3H2NXgNZ6Xw +znDH0G7O6RD0ry0Gx68i6ZCvbchM5q7ByLQj+yOxHgPmIHOcezuxV8G3EPlf +5E803pez8dz3MjAicSUm9LdjrwR7Q7B3GnpHxrHIB/mygvsn9LCOdM9zNgLe +Q9C34V8v8lebdu7WAnXQC1POtXxqwN7U4JqqtrejMwF/PkN/Ab69k3Et1QPq +hRzOFsFbhU4rvK+IbTb1mUR9lmLvL3x4HP535PRP4dG9Uob8vOgYFMsUzgZg +L4k/s9CfiP5zBc6ZclcK/2b4b2fcu7dy9hO8ZuIdT7yncugB8E7umIbsPGT2 +I7sz47vUk+rNP+DPhb+Us2PwzkIfx7f7iOcO7N8J3A9+HJnK6Dt0Vxn0oKzf +iN7KKej14Juie7kWnUewt5Zczqd/t+L/GHJ6Bvtj89xDNeivi9ZdCV2O/C7g +xqucY+W6Ebo8uGaqnXpOvace7YQ/PToXR7GdT39d5Ky/6oFOB/huctBAPmro +/+XgFeSzJ/VuxJ+iHj4TTz1SA74749gVs2KfH90r6oEnwCOwGvoyMfcGX4ZO +VVfnvBp8VXSuldMXo9+E3sZHwAHwveon8CPAyqxjVuzqiQ/Bx3FWBn1CNUG/ +CX/rUs7dAOr/Kv00LOXZMBC6Cp3Xkd+C/D/ge4BJ0JOB0VnnRLmZhE/Tomui +2mjGtYGP1h3gKd77KPCfyW8bsZUgMyZrG7LVisxi+O9mzCsFxsLrQP5krmO6 +B7pF7y/pGBRLLVBJrYqBQ1nPIM0izbfl4K3EkipyLTLU5Dz2WnMdwyjkLxP/ +XmQu5ruHXsg6l7Ip2z3RbUtZdxf5qOX+zUnHlKdZi8+HiL0RuhX8+bTfvN76 +K8D+rN+KZvwB2Ya3AXvN+Z65DeicVy3hT8f2vdj8Ms89tYt674C/Lnim7gR/ +K+NctyC/jfjWcV9Lyr41Ffgtpwt9t970MPClab/tZqAQ+uG0Z0Ud8Gv07Ky4 +MhsrsV8PvZ77LmXcg+pF+dgIPpezNUn36Gnw7pxVJ+zjN+q/6FkuGckqJsVW +w9m3Gc+qoYX2VTPrAvLf53jndaj+0btDO6ZFu4t8nMh1ze8mf1voz8293Kvv +cdaWdS7qkWnVe0J+MLEM0n6Dro+ePZqZr4EPju7lJP04CHxkdO0+RSaJ7ily +PiDtnfJJsXffTWnvQu3AgchvTLjmf2e8M7Q7DmvHw5sVPbu0M2Yqt1n7pplx +jfYBtvql/LY0I0qQKUk4B5PBD2bdy+oB9cLRYvdyOTqnwTcR+7iUY5eP2qHa +pbdAR/BngS7dPOO20x+PRs967cQZ0TtBu0E7dTX0D9ibn/L/hnb+mxnPNvm0 +BFtLkGlLuAaqxbLofxXN/GrNpz7eq5pRVeC9s/ZFNVAtPkDm94R7Sr2lGaBZ +8J9sgveI7g39o+hfZUp0LjXDNcvbomU1gzSLno6eFZohmiWqoWqpO46C3xDd +u/qn0L/Foujdon8i/RstjN6t2kHaRU9F/1tpJmg2bCQXHxf6beiNbojeterx +jeBV0bNTM0mz6f3ofyH1xJHomaXZpZw9A30y615UTVSbfdj/rdBvUTPnf4L2 +bRE= + "]], + PolygonBox[{{7362, 4805, 4066, 1997, 6774}, {7199, 2566, 4834, + 4832, 7368}}]}]}, + {RGBColor[0.3896422375, 0.42122897000000004`, 0.43963299499999997`], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmHuQV2UZxw+/5bcXdmnXXTy/9ywb4OAIFY0aM3ZTELxkTkOGEiwsmNRQ +TnKxqJ1gWW4T5RhYAjP9JcqlZgLkVuYNAZG7A3IRsJrRpoIuRoCJ2qT0/ez3 +cfrjzPue97yX5/J9vs/znqumzhw7o5Rl2Z5eWVal9v3aLNtZl2WTq7PsscYs +O9iSZVv6ZNlEvbfrOahJy1OWPVjOspLaHR/JskOas6w+yxY3ZdkB+g1Z9jHt +M0L73Ks9a7Tmkp7t6v9ce1wu+32v+nv03K/x2ypZ9oZkuKA9f6axdzXnX5pT +6p9ltTp/UFuWDdGeNyKb5m/W+x81/3atu6LOMjapXSaZN0uGW/Q+WP0t6l8n +edZr3yXas6K2RXJu0vgGyTy4d5Yd1rp9OqtJz2U9h7T/ByWfv0n9Y9qnpV+W +Jc2fp/HNfSzr+SLLJun7NskwSGM7JXeH3rs1PlXtU3mWPa21/bR2GzJovye1 +fqWeNTpztZ4ujd1WZ9mxxYu9fAb7XpKsucbeVttP8i6S3Eu1z5clxxa15/vY +P6sarf/qsCv2rpLdKlr7jtYelRyz9a2s/g9a9V6jc1u95qcNPnuO7PmFvhpT +O6beOiLHfNnntOZP7237YyvkX6m93tCeK9TO03mj+1j2oZpzk+ZMkfxLtc9Y +7d8sOZ6RjO9I1guad7xse5/UPieEn3c1vqbe9t9YNk6w50A9O7T227Lvcs2t +FF6/VXuO6uMxvu/Uuccl30nJ2Y2c9ZbtjL7XVOzPhbLB2jrbvSuwd1vYHP3p +gydsi10Zx99XyiYVtVtll/Xqb1N7rXTsXWfsPBjn/FBnDKt1/PxO759Qe7Pm +3Bfjo+qMiSNqX8GGWntO814nnjT+qRqPs2e7zl+n50iVx47E+Pxqj1+j/rzC +eDumdrjWXlvtPVlbJXknqC3Vu88+Q+v9Th/cXy8bbixZ/l711oE4AgNzev9/ +fWfmWMK/+PlIyA4G8FVTxAv2wm67ZcMDstGfm6Vbm9fhM/z1B/mgW2sahZnN +ah+vdrwNA9ctxgq2O1Rlu8FDL1ebizr0TKr2txek8wDpvL0wLuljE/C+Nvz7 +W53xqM4YnGw38IDuO9R+VPN/UmXblMJWqzRvrr41JNviVJV9ukhrz5T9vkT9 +N8v2WbNielKL8dGZG7OvaO3H5euRkuFreu/Q3NdK7k8uWzf0WlFy7BMvyEof +DBO/8CMxDK+Bx+ek492KnUd01jcjVsEo9p6l8WUarwv7jgl+uqTnrPZ4IvPe +a+KsJ5J1eTxZB3Rh7qtqD+j9tPqTJf+UWtuHlvdXNf5Q2XsyH/kuh+/nJMdz +Q3/P66g1x3XEWvR6PdaB8z9J5q83mYNWBsd/EPLSIjM+mhLnHk8+65jaC7n5 +eEZuncErWH2+cDwvjJiAE+CGpPdh6ueF8fXJJmNsnJ791cYL9pvZ6P3g+KON +jnv0h3vxD74/FzH+Su62Xe1eeELPgD6OIWKJeBlfth/IEbUVY31UsiwrgtuR +sSPsc1NhvtyqPbs07wTrk21GzsJuZ3LbZlpufl9Vti2QcVKN5byY26bXgHnx ++ymNL1B7PpmD30q2d03kte7A8rmw/8WyfdCdjIn5av8b2Abj8O6C4F70GBZ2 +Zk/ydc++sme/JnPMxTiX8y9Kx29InrfUfr5wDt+S+zziFN3mttqfP5bNPls4 +l27O7T/OuqB2T/JZL6kdm4yVu5Nzy7ON5pr3c8fScI3foPHlTc6XxHqv4LS7 +kv1D3fH95Li8pbCvLkctgK7EFPqeKpt7iOHZwQfwBFjH//Dh6IhDYo08/UiD +8+jt2nec5L8o/WYk644NqFOWNga/1lgXMP+tsjkJOcmLF4J/8RMcBf7g8yGh +D5gfFLnyZNk1GryzIPl9odr+hXNEq9qNybG/Qe3Z3LHdmpyv8Rd2WZSs8+Jk +vmft+ogFOARZjibngBHJuRoZ8NneyN0dgXP62Gl2MheOKsy97ZHjZipXjG90 +/ibfkQs5E7tOKNu2S4KrwAm+3Bb1z3eSa8yR2nNWchwRT/htadifOPhM2bUB +sVKJuMY/y2IOPAmmiUdyWLf6u9Q+kxwXT6t9IFknsEm9wX7k0Krw25Phn3PB +ddSdt0TevENrxhODrc5V6M7+v889997cYxNi/FJgkNjrbrVtXlI+/VLhPPh2 +q+sSzkfegcFDyDCmcM68pDl3Fq7b/91qzkMm5Hm42noR9+gNZuElanZq94ll +8/o91a7VqLup//AH+Y08N6nsGodah1x3tDAfUK+RY+EmePRGZND3v1dcG1Ij +8t47fE1t87nCe/+t4rzBOnxB3UT9RP5c0+yaHh3+WjHPfiWZa+kj//4qxxq1 +JbUYdviwpsBuxAW2o78zN/fAQZsCl+Dz17l9QBzeH9gCY9tycwRc8Rv1D1Q7 +bvE9+Q97zZU8e3LH7j25429i3JtGFLbrPyT7zYXt96b6u5P5/Lrk+wlYT8m1 +C/JdnVyXgK2+yfOYf73adXWuecA0eR7f4kvyGXcyciQYhEfgkOvFhaubnQPB +PTFPvN8qu97RZIzcoP4Xm4zx44V9dELt1dQhza4dwX5PTJV8/ro4+4wwuk9z +dreZ74kNeIN47mlLrmHbo469K7eNl0iXvc2udahz3qvY/v+pWK+1sX8p7p5V +yTKua7acyL622fLDWx1RKz7Qz3cM9Id/wcb2qEOp58h/3FmvjHsrdQnnk4fe +09inW5z3iAPqfrCKD0+VzDVwJ7FEHJ2rGKedku1lrau0+H41LXL3Uxr/Zav3 +eT53DIBT8sE/K46h70X+B8ecMVb2+Iv0mtbg+ow6DSzyjTnIMFW6n2n2PXlG +o9/pt0et8lgyv8Azv0rGJfh8VP0J1eYl9sUv1Mpw8sE2Y+QqtbcW1gv92rX3 +azqrs8F13Nlm2wwsIx+yEcPE8vRk/eAPdESvr1Zbbs7jXPTARp1R28JpG4LX +qEEmhGzEDzzGGXAoa1/I7Suwjr9GRD4amcx3zN+RmwfhgV257YhtyHNwLRgj +1uGbruCc+/r5vwbxA/aHRz5C9nEhf6d0r2lxjUAMo/93kzkOv85MjnOw8qD6 +owv7Fz+DJXDUY5da14FwCLXptLgvz4ha90XiQv1jGnuocH3H/xFqLuoQ7ifk +ZO5JPfelKsfAuuCEAVGj4g94/UDgalTc7+EKfDss7q3cp4jLXXGX3x/3dGqn +oVFvIAs4YR7cfyjqDc5mH+65cMOdff3/YHFhrnwu9z1sSNxDsQfrWdsr6hlq +Kmp/aiF8wt1uVtzvuH/zL4I9f5TsO3gCveF6zh8Sch6JvLY8cnpn/Dfp+UdU +738fcCNysh88xt33ivgPgJ2wF3jGt+S703FHboo5YJJxcgb2JT+ujLjEdsTm +xLA7NucfA/cU1sKhx6N+OBy5dV/sdzDuYtzxyO3wI5hizw/z2rDQF9tjQ3IS +c3fFfDBF7UU9gP2Ohb/4V0We3CRf/KLVtSP/EqinUvz76Ip/QfwTgrPhcPbh +rktsEqNz4j8S/5PA196o9+DQpfH/aGCMg8H5bcZDd5v/IRyOfxpdhXM3+Zy6 +nzie2+YzwQxxAT6wCXY+HP9DsHMKWZAZO3ZHLbQw7oOLCo9NDzzj5+nh6575 +0V8VdxdqLfA1IP53sS/7sye+wUfw2LORs8hdxBnxRm76H0Ms/bY= + "]], PolygonBox[CompressedData[" +1:eJwllmtM1nUUx0/gwyMC8gwe//wefGpzs17ZDN2sNfOWhVlZUYZcLHWltZFY +WTRRMEzKNbAkt1557bKlTi5maoZW6ip9IWCQ1Qt7kbwxE1Sy1u3z3Xnx2875 +nfv5nctvwrLaspUZZraVM4pTm2+2NGnWmmOWPcYsM5i9GDPbCO1sZLa22Kwn +brYG5nrgsdAvo+AiPDuBP0+Z/XKT2akss6PAv8MzM9usCvos8JzxZifRW42+ +GvGj81t4M6EfKDJrj5x2nLuPkN1cYDYNn/qwV5JrdgiZYXjfhr4C3hfAF8Vc +p3SfBf8C+X3c9QDfyvk3w2UOA2/Cxl3AA8TQiP5LnOnZruNu/LsCPgu8GnwO +eAc2FpvziHeIu0nYruLuCvA89P2Arj15Zp1ps2LZQHYEmyngg5yd8G7h7jPg +YmQmIz8VmRpkmxJmUSFxElsLJwV9T6bzjAdug36I+LugdXCmomMXuuLwTAH+ +FP+Wmvss3zvBnwK/B/w38C7wp8FngF8GD8g0x9yni9CughdgazT5yyB/N/Dl +MPaGwHdTAyXQt8c8p39HnnPlXjEOAh/kLIM2G/1D6I/BvxraReIfBfwa9Pez +3Od/gDvQ34r+e9F/B/HcBs/WmL+R3ko1oFp4hvwME38c/mfHmi3Al/Xwn6ce +loM/Al6X6zZk6wIyW4GbUl57z+PTkch9km+Loc+FVsvdu1lucxj4D2SK9J7Y +uxZc97RCz7VsNMGzA3o7/KPxrYM3Ls3zGm9Pu2/JQn87+bgZeFW+984K7t4L +7lsjOhZG/tYbeNPWXH/zA9wtMe8R9UqS3utFPuT4m39IvLWc/rj3wMTgtbQf +maHI31RvW8ndDOLbEbwXm7BXCX1/5LVazt1a6LODx5KgfmYFrxHVSgV306Ef +hX/yaLMnkL8PfC88l6A1gy+Btgtf5uLfN4oH/9YXey814Nu6YpeRbB8ya5Dt +SntvNIoO3I2OcuiLOA/Aezu5KEPfcnSVcTYgM4Dsj7zpCPl+C55V6L+F0w38 +IKcS2X541ge3KdvKTwPwJui9WS4j2WvqT3RVcDcffBD/TxX422iOXYU+kOE+ +zUu5T/Lte/Q3oP8DeHcXeK0q5uvwn4e/CvgheEs5TwKfU37h70357GqDpwf4 +OncR+M3YKkX2CLH+SQ105nqPnYB+I+Y1qdq8QI5KEp7b74BPpD22cuQGgSek +naaazaRfz2FjCvRRvOEbwF9qXkE7w9kIvh25M9h7R/NjjNe4al0+jWhWwr8w +y2NQLJpJmk3S2Qd+Gtlt+S6rnXA88tirOQ9Dnxl81p6mxuLIbgu+K+q5265Z +zV1/htu4P+VvqreVjwtSrkO69OZN8I/DXjc91ZLjPaIaVa3+B71P+Q0Oa6Zo +tuSDN8R8B2kXqUZVq7r7OfIeUC9oJvUAPxa8Fy7Qv48C/4U/z4HX4fPJyG1P +SngtyocG8j0/z3eGdkdz8NkimTeD17RqWzyNwEPwzIn7TttAbFdTPss00zXb +h4Lb1swdBm4htzVJn7WaifXBe0c5U+60Q7RL1IP7gF8PXvuqQdXiuuC1pxpW +LVeRv0L834u+cfIpeC2rB9QLxyLvBfWQeqk+7btcM21t2meUZpV66BRwEl0T +8333Sqd2jnaPavZk8JpWbR8DL1M9pbxXtRO1Gx8PTlNOlJuilPeGdmgA/gR6 +m/lO2gP8K722Mt/3kWbCluBvoz9IG/DLwf8S2mkvAffAW5D0WDUz84LXnnT+ +FHlPqDc00z5mPtQGn3Xa6Sv1twk+O7UzV2kXkL+KhO8W9cyd4HUJ3z3q2brg +u0Q791Xgr4LPYu3Ir4FfCf530ExfDfw/T6JYlw== + "]], + PolygonBox[{{7200, 2568, 4838, 4836, 7369}, {7363, 4807, 4067, + 2001, 6778}}]}]}, + {RGBColor[0.4543818125, 0.48277035000000007`, 0.495164225], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmFuM1VcVxjdzOZy5wEznlDP//2G8AKEKD9pCm9q3mpZra9PiUBNshOES +tVJQ+kJUbgMo9CIDxaJvpSKXBIRwMSqFQgIMhaoMM6NNWyxeElDTFBkoQpX6 +/fgWiQ8ne//3ba291vq+tfYZMXvhtAVVKaWfD0qpWu2KxpQeb0jp4Xq3e9Uu +04ITg9w+rTXvDE7pgVqtrUnpZEtKTzal9E3tO96W0tua66yk1F/j+d3a87La +nTr8J+rP03xNrb/XqL2msVd15lit+apkHZecORo/r/Fnktf+Sf09+q0vpbRI +shq0bqR+I+o9/qzWzFD/B1q/t5ZNKd2h8+c1p/RP6dcvmdO17+/qf0N6dmr+ +XY0tUHu5NaUO7fleltKA+rPVX6L+lVbrsUz9e4spTa1L6dvJOs4IPa9qzVzs +oDVzJesfOr9ec6dlh69Izii1fyykdFR7+6RPocH731L/hmw0T3NvllM6pXam +ZBzTmZPylOZLziGNb9e+bfot1fohw2VbyVorWf+S3Fnqf1n9Pu19aLBtNFlr +xxWt99+afH/uXr4zpV59Vxp8D+4zT2ta1H9Mv79K7hS144u+z7Vq2++w9KgU +rAc6HJe8zZofp3aC9PyW5l+Tnpske2udY+Rm0ff6S5X3MH4sYgediZ+JGru7 +aLtPUv+eou3OXZG1TPs2yn6LG63jlNyxcFiyruSOoau5z94Wcg80OnaJ2xm6 +99st3v9hq++6Ujqv0/2HoZvWd0jmEY2/KFnLNbdA5z+iM7sH2beL9b1NPjqt +9aty+662wb4ndj4d8bNEPp4yJKV9andIl96C9Z8ge09t9vdl6b1H5y0se2x7 +i8fxDbhZonM6pcNCrfmSZD2X26/dWn9Z8vIG6/UzrbkgnV9V+47anmrjpCz5 +uxq87pz2rSwYT79stM8540TZd5oe/sJmTwe+kEX8TNS6CfXWn7uO1a9Gv631 +jlvO/E6TY70+sAcGwfV82flltRXp/jvhdLPW7dNcpv4qrV/faF9xNrJHBkbA +yqyi/UCcfEo2yQv+3ijdPq6y7YgrcERsndS53YF/7LK8yj7j/vANY9Pjvhtl +qyUV23p5xecuDVn3S8dHms1VnIE/OWefdF7XZHv05r4X94MLiSHipxYc6czP +1Li9b7B5rj/39x/UDkW27tCUmbO6tLdU5zghzsFWTWb+qlV7l2R2KTbGyy7v +auys9PyzZOc663NaO5CbJ2YFV4BXcEvc/Ec6P1AyDn6d2XajM/MBvEB8g7H3 +qswv2Gl52OpC2Rz8dbVfK/hOZ6rNzXD0xmQbwe1wOrjBT9gSbMEn4L290fwK +xrAlGCFmFkb8H5M+k3PrAddyP/RDt8mt5qFDmp+YmxvgZvRFF3S+pLZY7bPQ +gxzEHXp17m71H1R7JLfc19Vu0tiGgvetbTXOlrY5/rEnfoUr0QEcwUlwE7Lg +nSfkrzPBZb3VtjM+vqfg/LVYsVMsmXfOqB1eMm9tV5zdr7NO6t4rK7YbufGT +ufd+Ahuo7SjYBj0F8zCy8Ddj2AQ/42+wOVdzcwrWAx9xPn6a1Op4vJoZH+Qb +MPJb6ZLrt4FYKtuHs8rGMzFJrgRnTw02Hlbm5mdyy+3cf4uzY+9Ond+l8+5u +tp93ZY6NXO2Mss97Rf3lGvuhzj1fbd6Ai8h33IG7wBnwPbwPp5MXiR9y64Ph +xy+q3SYcjBYexjUah1sazE09IQuZ2KcjuIOY7AhbdQRG6M9W7js61NgbF/lr +fGaux8avl80bu4I7iF+4jRiGm8EtcTM6MHVX5jxMTBKbcNrWyI9gdnb4FD/N +CX/+u2Jfnyp7jj7xdr3iNac1fk39meq/of65WvubM/KwcyVzzGE/+Bb+n1Vw +DuDHXvQhf8MLyP0C8Sh/7W80r8EzcCK6E+vzA/Ng/1c6f3HZOf9sZvyxBllb +1P9pwXXBsortsTZqJXz5XuADuWDkeY2/oPUXq63jzNDzSma7Xst8f8aIgRvS +85B8PVDvPR9HTcg857OGfLkjOBOstARe8AV44E7PyNf9Qx0r5FF0ORJ11I7I +PWfLzpFdwQ+XQt6WqHvgl2E656mS8+oF4fYNxeKxNsvrjtoADoE/4GFyyI4W +c+SYyJvEPLFMHfVmMl7JGWD2lM66qPXn1XbLFte17kTmOoN6o0/tQNn6fTZy +B3kDu6PD5ch71CL4FN/u11k7pe+BNt+JM7kLmMGuYJo4oCZg/wdVxijYHh75 +hTyD7QaiDmD/tagDeyPfwX+rc+P1qHR8LmqR5zPnY+KGmHksd26g/oITkIVM +xuBTfIOvPipZJvc+FZwMFsmB4BHc7ov7U4MUogaD66gJ4I+xUZu9FXVLIfqs +4xu+OJybZ9fkxgj4AP9LozagRihFXJGHkLkx6k9yO7zN3an1SrEGHoVPuddB +3g/6/k3mGB6I2uWlRnMwtQM10EvRJz+OjXqjNuos9MRO78e76GLZWGqLN8jN +yLNgAV4kntfEvdaq3Z157y8y+3NTvNewz5jbtVydx4nb/wbewf3mqFWoWfqa +/GagdjwZby1q/WGK870l+wdu3l+yHtzzUuRl4runzngk914PjPEu21zw24zz +RsWZ0zLnL/IY/h8ZdSXxdjbwsizimLqRMebwxY8yc+W6zLHZG+u7mlzDkTfQ +t9xsnc9HTUPM98T5xOqEwAfnE/PkiD3BYxdjD1zYE+uJVfQ/FW+vI/FGXRO5 +gbcab+INJeeQFzLnhhcz56LflxzXU3PXH7w1n23y+xasv9LkGpoYvJ3/sAF5 +9f3AEljYGm/JRyOmeY/eiptq8+fqZtcBxN/nm52/2+N9vz7i8LUm8y+Yh7MH +4s7Vw50HR4hPiq3msM6y+QxeI27o40/myA/pdo6INxFvI2IIHiXHUju3R31I +XbA13hS806i1wBqxRJ5Ff+oFbEw8kOOpV8iz8BxvsM6oATujfq9rdZw9JDvf +yLz+euZ3Bpghd4AVOBQOB8e39NT+H0cdTj2OLQ7EWxI9eXNhZ+QsCFnIfXSI +x1ZV/J/I6orrqUro+US8vZD3/cz5lvc9Oa0n6gdqLPwABr6bGRO8rdEN/7fE +m/5svPXgR2wCfve2mYeoncHuBxHb1Am867AbnHFv8OSowDL723PXHtQgT+au +GflP4lzZfH1HZg7uj/9wyO298R6BSy6EPO64P3LK0sy5mvc6ORpbo19N8A/r +0QH8cE/ecCeDBw4qDlvvdH56+P/+cxoRbz3ySntmrE3PHFd52HfRYOd0Yqlm +uO3/UWZ89wQnPJ67DqHOAg/r4r+tabnrMWq0kaEPMrnfmMgjvCcWxVvmcm5O +3d9qnihGfrxZdg1xX+Y6Gv3xKXgAF2Dlw6h/qIP6M4/3BYdhW7i9J/4bgT87 +2xxjK9p8FzgP/kE2Ohws2zcrIib/B40g0rw= + "]], PolygonBox[CompressedData[" +1:eJwtlW1M1XUUx0/ivaFQ9wpx+f0vt7LarFc9qTNflouEuVKE2qqVoCx7QE3f +0APypIVIQUS13om5zA2zKbYKIdpKLN1KgdwQVtoLa621iWiGD32+O734bd/z +O+d3ns/53Va1vmzdDDNr4czkXApmUdzs1uvNSgrN1qbM2qC3x8x+Bz8Ifx/4 +GLLZ8F/h7kP4u7i7Ct7A6YT+AHoSfDpj9nGe2RO5ZreDr/HmDAarkXk8Qv+N +Zg/km/XCX5HDG+7uhvcC+s+BuxNmP8Hvgn9gtlka+y3o3gn/LPo/Qfduzv3w +h3l3Pm22dJbZamRKeX8s5bZOctqgG+CPElsdwdaDW/FnMbKnuNsC3YiPy27w +O/HuCh7LNXy+E3wOmWL0V3JXjL6DyMwEV/P+PPQw/hbcZJZCR5p4LiBfinw1 +Mo9KHv098Jqw3wCeh84ueJ8pXnzNLTIbIs4XoV+F18+b364zO47/A+BJ9D2C +vireLIWej0w3eAD5K7zfmvZYGtHfCN6SxA/y9y75eYfTjvxEzGugWgzxZiTu +MSiWHfDfQFcddDf4KfjN8Cc4J8CHUu7bUejd6H+O+oV8172cePuJ/zL0QehJ +4viD2rzM3WzwWu4ywXvpIvaLFDv+9cH/PNd7YAqdJcS3BpllxFeJvTex1QA9 +Ab4j472Uls/kqi/lvbIKfjPyXeishd4E/R54I7qrqEcHvuXgw3buTsH7FftX +iPct6HHo09BXoduRr0F+F/LFyG+DPwb/F/iXC72XH054r8mPRPBcdWFzHF+m +Iu+FnixiBXeSi00Jt/088tsir6V8PIx8B/oWwR+lXvPhTweP7Wl0/AP+ijMZ +8xnULG7OeO+W0EP14LE8nyHNTi3vs/O9JqpFY67rkC7N9L/gQmIbSXhvKufN +wXtzPf40qTb4FyP/i7KZLWrxRfBZU49+Gbyn1Ftj6GwGN6Udb8CPk/gTYX8Q +++3o70T/a8FnRT2t3u4JnivN8F7wnjx/Kx3KgWZMs6aY+4LnULm8D/9vATcG +74116GgAX+QUxL2/stD/J7qO5HmuNefq/a1J90UzMJjyWNVj6rVe+B0Jr7V2 +SBob78/wHVQErqHmC9GzQP5Bf6MdZz7Tmu1+6JfMd4J2wwB0jfmMalZXBu/N +M8xwGTjJ+Rv9Z7n7SLkNjjVjmrVvg+8CzfR34HvxvSLhs1POqQs++7L5Org+ ++K6Tzc3gr1OeG+1A7cJY8FnQTB+HV0S8Tya9V7RTb448t4pRsR7IeG9p5+wH +TwX3XTm+AF7C2Y++OdTkIfCc4LOpmBRbMza64y4zC31HUt5Lz3D3GLYWBv8r +snm/APw9/GfhreKsgH+Yu0sx/0P0lyzG39qk97J2ygh8i/ufo79Hf5T+qkHe +lCt+dMyFHueUwquAXhP3nfc2/IrgskvgT8P/FPqvmO8Y7ZqOyHfdRvjtke8E +7YbV3JVH/8ec5T6Mgo+mnCcbsrWSUxX3ndIW3IZsace2wksRy7yEz/reHJ+V +e5JeW82McqLcKAdD4B+Jf0fC/z7tsBPBd73+4OHgMSpW/Sm9GfdZvisHg5Hv +WO1axbhPuwB9BUm3rT9qJPJdrp4fjnwnajdWclcG/UPKsWJSbD9HPgvaEdoV +0+g7lPBdr52pP01/m/7QpozXXLXXDm0JXmPVWju4NfhO1W5VDyyH9x+5UkER + + "]], + PolygonBox[{{7201, 2570, 4842, 4840, 7370}, {7364, 4809, 4068, + 2005, 6782}}]}]}, + {RGBColor[0.520089995, 0.54506703, 0.5512831924999999], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmG2QlWUZx+8F9uyew6677dKe5zkcLAjECcdpEqNwpg+9GaWpi65v7IeA +AYXEPpgzW1a7KxuIoqEtyPINpixhLZpFtDfUZpRd7UO6LwmGreXENpOOExaB +sP1//S+nPjxz3+fe677er/913Tt/9Z3tm2aklPpqUpqp9TNZSgdrU/qs1j9r +Pa7Dv4lgUvt1hZRe1e9ufY8XUzqqOxN5Sp+oS+kPWq/T9y3xGG5L6QXd36c7 +S7VeJ9rl9Sndod/t2l+h/Sbt585O6Ql9B8X/4qaUdrSkdHlDSp/U/upm8Z6V +0jHJWi+5J0VzwVzrsUs8PyUe14rXPZJ3l+jXib6h5PWtFu+Xt6bUr9+HG0zL +na/p/n79fbHuLEWWzq4pWu9zon9G5+/q7srcvEdkywr9/qH0/KLWG3T+bZ2/ +qPO9on1Zdw6VzANeG8V/05yUxi/wnXZ9/ZIzVLLu+A9b+mTbn+S3O7V26O4c +fcdl55fKKb0pvx6RnBOScVJnu7S/VXYcl95d4rW/aP8Th126f5loBmfaX5tn +2Z8jor1Z+m0U/Q+k4ze0byyZ7uf6+x59/xTfddLhX1qv0fdN2XVUMnPpPyb6 +qnR/U+t6yX5VdGt0/lvZ9bDOz1YclzHRvyG7bis4Vs9Xpbdot1QcX3R5Ufa8 +p9+3i2Zc9DeJ59+l3wbp9nX9Pii5zyum0/XOjdfEZ59+f1d8m7Xe3WQb0P/j +0uUR7Tt0l4TdKZp9ybb2t9reIZ3tlawa+aI403mIDPJ0XH5bovOxovf477x0 +OKK/d2ndJv9366ynarvfbrHt+HW5+PTKnltFt0X0e6XbS6K7WTIXaX1DMp8r +Wv+tFfsBf8zPHaMP55aJHsjdXLEsZP5eus/Tt1O8uiS3qH2v9l+VrH7JekKy +HpP9W8VnUvwHpMfHtN+t9WHZ/mSr83RLs3nBp6z9oVbX2JUl52LPDOfaytnO +t3+E/4kDtFmz6XfL1kf093cka7ViMlZw3pDjo0XnDzlM/uIT6husmJrhv0NH +riMXmSM1/th3Sd4vM8dusdaf6tsGHmS2aSBoyHH24AwxJJbEido93Or6zZST +ndqXG1NaWHL97QkdxkLPH+lsQHxPz3SM4TGaOQ+gQ8/xoOdsQjG7RTJ6K66p +ExF/9CXn8Bc1QN1/UHe+3OiVusUP4B0YcYlo6mc7XqtK3hNLbK3T/vQMnxWD +Bl+fCTs5rwt6amhz+Lm3anndWu+tODd7KpY/J3QYi7zG9inxOhV6/zrz/lda +l9U5J6Ebziz3aOacOFVyzYJ3YCExJPe/0uiYDzYau/qiJvpCN7CJvEKPi3Rn +Ucl5Q02D+99J7i0t0uV3ySu/j0SswTVy5DfyfUVxfbrBfrgkfNEpmfMKxr0j +TcZr9DtUdr680GZ8q611rj6ofTXoi2XLvFc0403GOPCN/Ho85ILZ51uN2xPy +RQ14pfXJqm0+rPU++fp16bGt4nyCBjs6S44jceYDu4bFc0noT3w/p3vP6vyv +kjlUdazA++sl4y/aryi7PjbU2p6XA2fAG3rEawXfwb7XC+YDHr/S6nyk/sBY +avALsvEq1fKJgvveseg71An1DTbjX3xAvB/MnLP0twtz12FV64GIS3f4FZn4 +Ft4HWsyfXj3Y4loBh3Y0GYuq2n+v2f2PPrmvyTVzTr7bqHsTsmth4Cc4ih7o +Re6RT2ALPqQvQM8cQk5R5+hAT90x276jN+AD6oC5ZUPB/iBfDoT+d9W5n146 +yznaEfUChpKn4Mz5zDlzTutbtY4fscPOwaL5EQfqhNjUzvXZtOi3Zu6h9FJo +udOjuztyx+uVNtcHdnIf3bOC9aeHHgv8JNeXBD5QR+MF82U2moj+/kDm+WRl +xAh5yDoYev9M6wO5a+6lNvPjHJ7E80DQb8s8+zC7Laizj/DPQ7nt/H6sHTGf +EAt6HPFAr7HoQdjFnIVtPYFLfRXjFHh1qGrcQz79mhqjdsEY6odeTX3OmuvZ +7SNVz4hgB3FndgRbpwLPqT1wck2965zYza9z7Pj9TOiNHacz+/lsZrwDI/YE +T/jhR2YR5EK3tt58yfV3Qg6Yj1+oc3Ly+tz3z5fd79ETX7fnnjHPle1f7ANb +wAbuTsbZlXFOjmIXtcc9apU6pfe3R98mLzhHz87AF3Sg19FnsQW84Zx+QT/j +nLiiH3puB/tz4wp4OV22fx/S+Xtl87pP+2tz7zljBsB+egf2oN/9orkp9+zH +DNgTdUgOU3vUN7VFbJ9qsP7MY8SXOINt3IGeGLZETyd3no78IXeY4/47G+W+ +c7bsmY84ESPmVvCIWEJL/UNPPi4KfADbwLv33xnUD7UDziL/35l/98aMeqrN +Nn80MIB+A26QB8xA8GT+Yg4jF3gPMS/g74F4L+3JHKPHSv/DDeYUcqEauPpu +bkzcFe8C6uii6JX35/49rvVM5C35+2nJL8R8gi/wyQ2ZY0h9kD8j5EXgI7WK +TWAUMXm0ITAvcw+6UWtf1T19c9X4RH/CVmalmpiXyEXsI5eWxpvu8sx1zGxB +Le/M/LbhfYbvsQW82l7wvAHdVOQR9I9mxrvdmW3Gt9RvNfoSOTAS8wN8mGXB +yqH/m7eINfnVGzlGXMC3ycBQauaemMGWxPzAG2V9vFPwR1f4ZHvoiE3TbcaX +ZZlxjpkerKOf3B49pRhz3arIM/xNDZbKzvXPZ44JtMQF/DgdeU6vIyfoGbwD +lsVb4LY2++YXmWM4ErYzn+yOGfiW3Drwlnou8PrZ3PEE+8A99msDu8Ck6cDP +wcB85OILsLg/MIcYE98/xluDNwe2T8db7CcV599omzFpKGZ6MHJt4C+1AA35 +yRl6cL4qt//o+cylo5HD+6P/gIELI2/BnR9XnP/UwcnwCb4Zi/9L8P+Jsdw+ +uaPsNwO2VDPL645eMNXmuF6YOb/WRI5xRl4S78XxBrk4899Xh9/ItY7AGWaQ +S2MOWRRxQd8U8zp9oRBvOuwaiLcOOLtAdbVU889k1fPygnjv8y2IPtsc79wP +aB3VjPShVucmb9zLmq0HM8vWmFvAjJ2BGyuif+JH3mpnAq+ndfeKVtcHsyoz +Ou8HMKkzsAtMWhF38SP+nJcbM4YDN1jRjf37M9lwzFrUITXYkRuD6Cf/ATf8 +oZA= + "]], PolygonBox[CompressedData[" +1:eJwllV1M1nUUxw8qf3zkocce3MPvT38wXW3aVcvUZls3WVuzlZH5Wje2lUDR +3LSN7JVQULMCB4jdwWr2gsWWWlqhbuULdZPwYKuwsDZsWRdhKhX0+Xoufts5 +v3N+5/18f3PWP1NVN8XMXuBM4ywMZt2FZn3QEzmzRk5XZPYxdzPKzA4kZstK +zH4t4A66P+dvH0qZXS03m+R9BfqPFZn9C53i/IaDWu4ejc0uZs02ZczSM8xq +0maLkb+D7dRUs0XQlaVmTTPN2pF1cNqgv0D/U+hD4pE/C1/C+1r4Cmx2Yv9W +7FdC30+MP+G7hxgPEl/NdWZLSv3tw8Vm48RYRax1+FyJfoLPHdDd5DBKLs9x +9kYe0yT0GnQ2wI/A70H3UOK2t1KsV6EruduF7AoxVEBfz3kJvg17P/J+kFjD +LLMy3iTFXiPV6ml0VmC7CP1R3j6Jj9Xwl2LPpZ73Y9B3I+9F9xv4FLl9Bj8G +vwudaux3Y3+A/PaQ3wFq8h71vZe7YeRruDvIm0L0n6Amf2NvgDd3TYdHvgr+ +nuC9zVL/pcHvJPuZu3b4Vvgo5W/eJfZq6pngrw3bVeSzDnkN+ufR34t+C/7v +wP8Q9VmIzlbefIfvl+EboU+qxuSS580++K/hXzTviXqzjdOI7jBvmqH7qfHv +2LydOZgL3VTuso3cnYV/JXHbmsmGxGui2qgnF6APB+9tO/wR6I3c7UbeCT8G +vW2mz9y1WePMC67by5u/kB8ll0nknyC7RH3z3FVHnrNyH8x57zQjmpXpvL8w +xXXWwg/lfPZHOLvh3+T8AN2E/W+R3Zx4n7QzhTeYncFXV8Z72Up9l9G/OeR7 +TPOK7f3BZ0sz+6Fml3qcK/KaqXbt2N8EP5dzHPoMPs5FPgOahdnYX0fO9Wmf +mRM5n7Ua5DvQ/webIfL9nEY8H1Dn91X/tM/UFXwsp1dPoV+F/rHYfWnntHt3 +Yr8e+w1pr9l/2Esiz0G5HGd+bkO+ElkL+a0KnttS5BF0HTqLoRdxhrB9GX8P +4q8WneXw32d9p7XLyqEn67OgmdDMCXOEPfI5Ifwp9ZnVrCom+ZAv1aQFexWl +HpNiEeZ8hPwPfDUjX09tdgbPdYtqrl0PvrvPw78mX7wvI5/9xb7jbwTHFmHi +69A7yWdJofdoO7ksQHd1xrFPNfiT2E9nHcu0Jx3ENBp5D9XL2ZwednOBagg9 +kviOa2Zugr6Kj18KvGfj0F3BZ0sY1B0ck4RNyqlX+4nvOvDobeK9jx7P586m +OqZ8Hjxn5a4YhqFP5zxX9Vy9z8e+u8LcQehTOa+NeqRenY29d8IMYceNsceu +nqq3DeisJYZ+cviS+AeC/zXCuEHocmLLZxwrr2E+9W3NeKyawVuC765iVuwT +yPsyvpvKaTP047N8d/RH5NEpiBzThe2dwbFcO6pd3R58tk6hW8K8vxUcy/Rn +6e8K9GtexrFMPRbmC/sf0B8A/VVwrNCfeQK6Izh2CtOF7frT9LeNy0dwjBXW +KqYh6JPBZcIkYdPl2LFaPVfv+2L/a4UZR2OPUbEKQ5t525h4LJoxzdojwXdZ +M7EC+n+VdCS/ + "]], + PolygonBox[{{7203, 2572, 4846, 4844, 7371}, {7365, 4811, 4069, + 2009, 6787}}]}]}, + {RGBColor[0.604478465, 0.62193021, 0.6187370974999999], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFl12MVeUVhr+Z6TlnZs7IIeeQM3ufGRQCOo6pNCERJG1jm2hMCq1NowIK +2JgiNZGfXvhTLjtUBlRMhcDooDcFi70YZopBxX/QqHWwF63MTNMfHAmWSUx0 +LFKilb4P7zK92Pm+vffa61s/73rX2nPv3PiTDc0ppbVNKbVo/UQ3a1tTelZr +f3dKP74kpa1av13wvv8bKd1XSumzYkoLtV+i/TXaD2j/REdKO8spHW5PaYu+ +36Rnx6X3lGTml3w/3mbZp/S+U/sfSmef7o9pn3SdkhGHdFZN63t6tFS6zun6 +Qbvl67o+ks5dOue5eHa97C1p/Zb0PC9bh6TzhW7r7gz5zbLtlrK/PyN7F+m+ +T2ec1v5z6fmTZA7q/WI9PyTbLtV+dtnv+hsp/V32P6j116G3L87BN2KCf8SF +mPTqmyt1nZTunXlKD8uPsXpKe5v9bLTJMh9ov03vnml4/5hkB3RNaf/PuuO1 +MGJYli3tuvZJfrdkPpLMntzf8O14bluxGV84f1RXj67vKT4r5PdDyXnEXvKD +n1tj//1Wx39a+4GCz2pSfF7qcCzQ/W7oxGbyOBYxzy5x7Di7J+Tuk4796JGO +10J+InJPDlZHXrDtQ8l8qnN7KykdqTk3nD2t6w/J51wnuckW24it4ARM9Om7 +95r8HjlwxToee+zjnm8Pd/vMZZ0pjWTKi+ybrXVc53bPsp/Dkj2o61eSP6v3 +V+vZVIvjvyBycHXsef654t4vsw5L55DuiwXXztdy+PG69M+e5ViCR3BLDHYp +b18U7Cd+UDenm6wDDFCL+Hhz2e/J26bI1yrpHFCs1kvnPUX7iY/U3wo969Kz +a2YKKzXfb9D9+qJjTY5ZwcNhnfVbPW+OGvxY+426fin9e/RtRefv0v4F7Ze1 +O/Yr24zpXPqfrzn3HWXHaI1kDkjnoHScb7Gf1B111qUYrKkZL5vrxsWJzLEj +hn/Ws2tLxgn+kA9kwdWOovMxFVjB1+3JdQCW0D82Q/HWGU9L/o5224Q9XOWo +nUWZcbk4sz/IwjHXZ+adG7Q+ULCf03EO2OKsTVHn1CRxOhZ8RXzviZivKzl/ +YGHjLNvEGfgFV4L/g1VjHZz/vmH+Oinf3wnbsPHJwDVxIb/IEBN4Dl3sezPX +6lWZcQyeL9U6kVvmr7ntwxfydVz4v11n9mg9Ktl5knm0xdwGjuDhN3L7eCw3 +N8AX4G2qbs5/Ss9Lmet7j9alncbsf7Vv1XW/nj+u9S2dMSk9D8u/hzqtewvn +y+9Pq47X/dr/XBiaofiv0vq3qnmafIMp+Kkt8jGYWXa6avnN2rcLS30d5gRy +sTH6ELGn9u+uO+cvUeOSnadrr+SblZfvav+i9ndKZrdkhiVzt3R+VnU83tf7 +uTX3tAPtxh/Y43tsBNfkCE6Hz8EfvIuuizVTdq1T09QkMYJX6DnklfqD+6jB +sdx6NihOVykmj1Xdh27P/f6EbLwickcOV+bG4/t15w+uwoYl+vYm+TChGIy0 +mcvmyK7BgrkGnhmJ/ocd5HNH9PFy1DA+XuTmormSFd/w6x8RK2I2X3Ys1lmT +3baVM8nXLdEr+OblwCc4XRD8gH6wQ02RowsN522y7jhTt9jzM+XozRmOI5gi +VtQ9MT4ecV7XahwTA/AELqhB7NgSstQ49Y2/YJzcgMXlufvYX3TuvwquMWqd +HJCLOXr/i7r7z9uZa+Wyos+6q9XraPSd5W3ORwoMwhtnCuZc8kxORqqO0VcN +8/AHdb9jj18/ksxw1bm5seJ79ke1T7M8A01EX6P2yduBiBV6t0b8+2I+ea7b +dXQo4nBrZgxSr9iOL+CGOaE3ejo2f90f4HD4m/4NTy2LGJY73TNuzIzn4cA0 +/XOsYs6mrqhLetd3VEO75cuRDveKxkzX9tGYYZhl+J4cURdw5bnI2b0F9z3s +BsfD0ZfJ12T0gQ9L5ij8x0/yfjwwAh+Ck8HosfTiBdGX6c+rY54Eq8Uun9Ei +e8aiF9ATzgSHwCV8A565x9aLPTk5P8cqtvvmmH95Bz8sLBpP48rHaslsbbiO +yS3n0Z8XzXQP6Ym5ibp4InPtwwG7M+cHzA4F74C96cgPGB3IjEG4gdyuKTlW +/8ndk87HXHlDyXNF6nSOl+i7E7Jhf8VzSUf0zqmYZZBlnpkjmX7Z+XiH77EV +OzmfnoUNy2NOwwdyNRLYYOYFZ8/G/Mv/xWjMqD3xnFzRp4kt7+8KGeI0EjwG +HpuL/jeoxOxPLd8RPZ6cL4x79qMxh28LrkDnJzFHnYr/kaGY98jnZbnzdU7r +joax9ajW0xX3BvrC0vgXQX5FZv5ZmXkG742ZHwwQJ3Aw2OEewr6YGdPLM78f +jOdfZeatLzPjBhlwtSJ3LOm3E5l9H9d6IWYnZihytjf6EbasCx9r8R+F3G9y +6+R8YrAu+Ku90/9YW+rmlmtL/++f5IT8jlY9a66PmsY3/D9bd119M/NsuLNi +jliVu1/Ttx+M/6btDeeU2KCXM/hnHIoZ/4v4T4Dvx2rmfPIJJsgj/MYsQY2P +xv8FuLktd29g7ng3s54/ap2fW/+8sAU+o5aoB/INrsjXyajNuZF38k8Nvxjc +9dPcfE6Pou6bota2NYw75ppXM8+lr2hdk5vP4Xj4jnmfXsgc/UDFmIV7zoYu +znwyOIR1KHAIzmvx34R/8Nz2mNWZ03lHfc8JDud/hl79us7fV3E9gwtyvTbw +wP8fPRR9XwbeLgSHDwWvMqfwHL5dGf9ZxA/OOBpcUOhyn71cfPZIw3lh1mPe +b44aZQY4Er5jKzaDM+ryQHBLpcs8vj9z7s+Hv09n7kO/07ovswyyzcFrTVr/ +HX2Z/rxtpmc1aux/CQpdkQ== + "]], PolygonBox[CompressedData[" +1:eJwllVtM1nUYxx9e46XgjZfxMvr9X8hEWG3WVZsiq+4yb7K1Volp1FpbW6G0 +ttTs0gxQspUMOVg3gR0uUGuTMjuIrnWwbiqB1kltFW5tlZU1M/t89714tuf5 +Pcf/9zn8Wx7ouWNDLiIehS6BHmuMGMxHjFVG/Al/ElqPvAG6L4so10UsKUa0 +FyL21UQcqMcHOlUVMUeAF7DZCN8GHYO/NkVULCAW8d6DP4vtcWg9/t9gU+Lt +t5xzdGF/BPqpAkKehu+5IqIDu+WKjxxQF/xV6HPwC6BFeb9Jd6EcseayiM3k +W4e8jHrXUm83+Tqhd5Nr2YnPw3zbAPFvQD6N/058b0Ffot4c+jn4D6HXCT2B +zUfwvc0Rt19uH/nOJtuOQU8Sbxv0EvxB9DXoJ8g9W4rYQ+6p6ogh6jnC22Hk +Q1B3bcSNJfN3gedRdLmGiLeRz2E/g9yEnMi5EP2/1NjJ920i/j18Xx/xFuM/ +hv0I9Bb1TWLbRy+ehr9AfT+CZxM1/Qc/g+140bUMEq8LOatzL5XjeXrTUXQv +1eOvMmNfRc6RzDOgWZgn/17iXUOOtQX3IN8U8Qjfs6jkWu4k5inw6EH3CzSK +bwM+v+f8dj/yi9DZvGdGs7Mf/RB4DxD/QHKP1CvZnIH/DjqjXOinwPcL5H7s +T/L2KtjcS4xu+J/Rjyf3RL15BTmw31723G3l+/rhny27973IO+CfarZuFVhs +gz+B/44w5sJ+RjMTnjHN2srkXmtmNDsXk7GuBd/KJmMm7G6+NOI17Csyz24r +OVdRz+7Ms65v/pbYk+C/Evzn88Z1N/E2Ev8T4tUSbxhsn0BfrPYOfYnPdnxX +k+M88T9H7kN+HJ/niN0rTLD/lLgf8D3neLs+b5u/4I/z9iu6dmagDX5hMvbj +6OcbnVO5hfFQMubC/iHq/1u7B+3JOWYLfCu0NO+d1e4uwWe40jv0B/Gmmo2t +dvwg/ERyr3QDdAtmM/dSMWfgr0u+RbohuiWHk2tTzHekS9519WgUfhff2sO+ +7GX2bqXu26jhhyrvxJvk+ydz7ZPEWwy/GfsHG7wLwlQ9UW+midlJvFbwXgc2 +Wwre4RW8vYHuM/JVY3u62T1Tr66G3w+/D1pWcA/XJMdaQcz65JzKLYzaMr9J +p5keRn45ebe0I9qV6pJ3Sru0teBd76ee0YJ3/ut63xDdDtXYgv4Y8q4a23zf +6NnTTmg3Bsq+1brZc9S7XDmo57xmTLeY901Fz69u5pVgM1v07dHN+jjZVv8I +/SuUa2mdb6tytiffyvfB5yL6o5n/BeqBenGI+gaL7o0wqiD+dNG3Tj27Cf2W +On+rbqBmWrOtHejMvKPaVX3DM/AjybdQOzAMfyI5t3o0A786eRd0A+9Ovom6 +jbrhffAdybdBGAiL/wGN7gP9 + "]], + PolygonBox[{{7205, 2574, 4850, 4848, 7372}, {7366, 4813, 4070, + 2013, 6792}}]}]}, + {RGBColor[0.688866935, 0.69879339, 0.6861910025], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFl1lsVVUUhncpvbfc23JrL+k9p23ACUiABBMNMhiND6I8gMODY6SAMQFM +GHwi1heVojKJGsCqTIlC1AcJUGcwBsTEgckX2mIUfRAFYxAHQGP8P/9lfDg5 ++66z9xr/9a99L5u3+I5FQ1JKN9alVK/3xTyl+cWU/tR71IiU+ispXVpO6Z2G +lF4paM/QlF4rpbRe63M6sEq/T2n/Ur3HSz5BzwvS87r2v6w9F7Vnqr6fGJbS +1dozOMzrXq2/l+6HWlI6qe8/a/9p7b0oZ9bVrPfpzpS65Eev9J1sS+n+3Lq/ +afP5a6X/zXrrGwz9D+vbbu35NJPPOv+D4polfd2SfyT5ccm3yMZpnT1SZ3/x +m98DoWebvi9qSqlF8pGSj9CZJ+TfDr3f0rdxJe85pPcXJf+u07kDepZq/02N +1rUt7KCfc+Rokp6jsvt3wTmcFDkZCP8X6OxCPevqnZMlBeflfMH6z2jdp/ce +PVdIVpVPj2vfq5nrVmxwThbL/0tkd4V0jpb88oJ1kje+49uCsEMesI0P2EK2 +POS7JevR+pjW+xvs24UhjpdYqdf11ZQ2qo57ZfN9rTu13ll2nC/im/L+hfz7 +S+vP9Z49zDnC7y6tpzc6vwfAmjD3IbnvcPy7tX97ZgyAhd+ivtT5bslPycZM +1TfVXF/q3COfHtPZjcn4q6eGERd5ILZXMmMJTA1m3jOgd7+ePp2drvfEsn0u +a3+z1jsabHt60bkgD1v1XFMwpsbmxuQYvT/LvH8yeMNv6ojvrcKD4pysGJcV +jQMwMEGy5/VtiuRLlIPjw3W+7PfQEV5T918Lrke9ZAd15oJqvLDNOd4nW6nD +dflJsqn6frtqMTjUuMAHfH5Aen4puDd+jLPoeFA6P5G9DbI1p+Ta/VtD+f+i +9nyrPXfp23l9O1uwDt6cp4/OFJzTXPpvbTb2Niue9fBHydhZEPiBM8YEb4AD +8AAmwTd4wB7Yn9FobIIP5OBtWtF5BsvYele6s+hdZOihhtT8sPRUZH9uyXy1 +XP7cqd8zS64PtQU3Kzrt87ud1kWOyA+8B+eha1bJ5+gFYmfP2cjp/Eb3+FVl +46Y5bL4Wdss1+9LT5h4jXjD9ds04/brNfUmd0AMOqFuf1mvazZGr2s2JcOOz +OrdOv1dqvVbrgYr5Gq6Gc/DnSPQftQS31zX47Ioh5q1DwdX0yIjIw/iQw2lP +RU7ITU/ET+xg99aSZXAYMYLhccGH1JPYsQt++DY31uAYzKLrjXbX90z0LBih +n8kNHEF+qDkcAR5WRR6eaXdfUb8peo/PHOeEzPW8GLEwf+pjBtE3fcGZL+Tm +h1a4KLe/8ChYyqLua2rO13OyNSc3/pgDYHxCzAtwNTx6hbyPit54vd37enPn +emlwPrmCT85FvsHV4cA5GP9v/vEmdvge3qefD8Wcol5dRccBj1GfPHymb+mF +POYD3M2ey3Nz1IXcfLVrmOu4K/YcC57fE1zPuy/W2NkTeng4A66mB0/enLmn +50dfM/fJN3Wgto0x1+bljgN+6m4yj5Br8krMxDs/+AH9TTX33ozMGGDesI+c +1MUcrKvZ3rTMuSbnA3CVZlB3xfOP/lkZmB+QfEfFOdokH7Y0GXP83tpkf+4X +X37Vah+ZFeSauImDewyxwKl9re7P/tzcv1i+3Cb5nlZjrV+2Rlf/5797m3yX +6NaectU8hGxRyE9INrZqP4q5817ssC76jVqcz80VcAbzFY4gvoO5ufTj3Fhj +Tc/dUrFP6ID7mVvUiNnFnYB5COfAN3Am55bFWWbU3qptM48vDWw3iGNukHyf +ZIcUa1fFdw3wsytw8kD0EdxIzuBreHlTbt7cnLv36MF7Mt8bsIF+uAHd8Owj +0r2wxfewlDtP9bmxszf2U8PNUUf2/t7q/bN19rdW55e5Q8zEeyB8wBdwD++Q +08E87qm5uW1W8Fuhw/rGdprn5gbXgbXTMfdPBDZ6g6/B2pd1njP41RO/kcMD +44IjyfmV0Zv06G01z8X3Ot2n+Idv5JXf9AV7t4bPxA/noJtc82YW/97me8Wr +0nlv5tjvy+zPpshV3mwMcZ58L4+cw6/Uk9nN3fyPVsvAZXf0CPa3hD/0wMqI +G119ESvP0fBnSNQuBe+SD3h+fMwZ8FeM+xTrS4LD8GGMcjFVfnyn967Md0Lu +hqta3GPUnt7Dnytyz13mbzn+myyN3v8wZgSzgvoyh6gx/w3gzv06+0zNsfw7 +VzvN/8wB+hf/8ZmepDcbc+erJ+oEn8OHzJ3VNfv+ZKf1oQcfCrk5pSF3HsHx +2ZjVYInYexXTlBZzA/dabNbl7j9qRo77pXeO8L263b93Rt43SPZB1fGNVJ92 +VX1mIO7bzJXJLbaB/rq4e8OlYII4sUf+mSXU4NGK+RTZ2nbHRXxXSrayxXgi +BrBIzck9dyBmHLNuYqzpm0rMyu0VczG8y31zsGp7H1d8r70QdwdmK/cW5nxz +1LSjxf8xdoad4aGfdyXWs4JHZsYD7qkTuVlfcX6Gx/nm0NEctuCzl6rugX8A +rGseKg== + "]], PolygonBox[CompressedData[" +1:eJwllElI1XEQx8flvWc97f/yyfP/TzHLrYPHIJeoW9nJ6NBipCYEXVKjS6SX +FiwsNAvLbLHABepQZIIGKuESVOahS/qMspOVEUSWWlifaQ4DM7+Z3yzfWTZU +1eypjhWRcigeanVEalNEeoIipatFilyRYJzIH5/IBPwr1/hWv8iJiMgu5H7k +FGxK4Iuh+z77o383pYv8wDYLCngih6Fa+G/YPEbflCrSSOAo1LJOZAT9pxiR +79iMwmdis0yCx5GrkCfUXzK+QyK58F/IYUF9468fX+NrRArQlSWSIzXs5H8f +uklqC6K/GRapp8a11FaDTQw+54iXgY9Y+K8Ri7UI3UPOxf4i/u5g2wHNor+h +eK0SWSHfp+QwF8CG/C/j30kjR3y3YdNJ7Hh8VKDfiD8/fA70EGy2IOepf8/4 +Ymxq+V/Inx7yfcZ/Qc4j/iHi1xH7LpRJb6bJP5PahpHryeeW3zCPwX4KXQY2 +XpLZTOMvzm82aqsYK9Z9YBgl9/XodwQMww7Peqq9XYF+wr/BpsSxHmovs7Dp +oB+bkbPhD/D/tM8w3A9fh+0R4l8LGsZXiLfVZz1uJr95nZkEmwGdhUHqu+bY +rBVQzwJ5nUIOIVcjf4gYlvNaI75eEKNXDKOX8KX4zCH/EeQy5GP0Pxuft/m7 +lxwaQ9ZD7Z2+pSPn478Q/hH668ijjmE5CDUTYxZ/DeTbBD9AzaVJNpP98DPk +XIQ+gf7fha8m3raw/d2Hv9+8HQ1Yj7XXFejSQhZLe3LHs9nuoobP1LYdfR36 +c/wfgp5Qf2+yYaGY/4J/nWyzqnn1kOtM2GZhAIzGkX0p9ncJORg2DLR29RmP +bswxne50IbHKHcNWd2TaM2y1p1PwLak2y/97Rr0HXcNWZ0Rn5V2y1ay16kz+ +BaMKsDiLTaXOd9h2UHdPd+Z8umGpGF6A73HNVneo2zUMFUudiQf4+ggm7WI+ +1fdV3XXHZlZ71oC+0283J5Fc4zzbXZ0XP7s3pjsVsJ3cjb7Ls1k+idwJ7/Ns +F3VmdHYSPLtNuqO6q0uezfZ1clj0bCd1N7XnUc9unN463akofD7U7rOZXIhY +DI2lOYzDv4+YL92RNs9uht6OM8jlyF2u8Xoz9Ha8dW339WZNuXbT9LbpTC1j +3+va7dSbqLcxCt7djs2C7twl/FciT4Lbc/Aecm3WNMdh+H/0Ytkw + "]], + PolygonBox[{{7367, 4815, 4071, 2017, 6797}, {7207, 2576, 4854, + 4852, 7373}}]}]}, + {RGBColor[0.7671863750000001, 0.77125569, 0.7498462775], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJw1l1ls1UUUxofuy8W2F+y9/1LRYoCiAQIPJAJN9AnQGKG+uICBYgyGRZY3 +UuqT1IVFNuFBFMoiiIkWDW0hUWhUINFQE5Uoi764RPAVkEL0++U7Pkxm/nNn +zpzzne98M7el45X2VSUppbEjUipV31md0ga1g5psGZ3S4lEpNY1M6VY+pbb6 +lBblUuqoS+k9za/R+FWN92o8qialWfr9XY0Xan5iZUrjK1LaJqMrqtx/rzOO +aP1VrTml9fdp/eca99amNFnzpzWeqb17NP5C43at+UT7+kvszyzNP609V8rU +spRm64yr6vvy3s/ezfyuvT0aT9HcTv02S+M1iuWne3S+zjqr+Qf1PZjzXOVo +z5/TfIXGwzp3vOzOkP/D6l+Qzauy05mz7Ulh/4FiSlvLU/pU/bdqRzWeqf4l +2Tgvu3tq3f8yyuM/ZX+lbP0mv3tLHRtxvazvqnJ/0xgTM3nojTWXtXec7I6r +dX+pzuNfZfthtYPy516tLRM2Q8rjFMUwpDZZbYLi6Jetjfp9qr5v6vsDrdmv +2I6o/7sxpbuau6P2mb7X44/aI7L1r+YGqm2DHBPHmGr/tlTfPyinfdW23y37 +bzYrb+LLtoLzB64LauwrPGpRf0DxnND6H0e474txf4zx86T27NbavzS/RWet +VXtd+w7L5yTfbjb6PGyzFy7i3xtad6PRcaxTv60ppd+1fkvBcRAP+5ZVO+Zr +2rtae/Pa26Lvjsw5JbfP6vzbNcblj0rnDfucOT/OrcxcE63N5h8xY/+pgn0v +1+/n1Fq192zm3OJ/SamxgWvYWzDSuGEfDE4EDgOBLfh3K/4t2n9YJiYGP+Ep ++byh1qPf87LZoNYhmyPlw0mtf6Jo/FsinhGaH6TWhc8l/danNXOL5jSYg31b +uXEH8+0Ff+8Slnt1Thl1UeqcwAM48KJ8fLzK2PFNLZAD6ntsvWscneiqc56O +NdnvfREHnCCuau0rJW59t8HBCtfAlOAydUGNnq8zdo9SW7J/Oud6Qb/YT/xH +wxfqH83oKzEG9BeDe5yLLmEb36m1rmprC+eiVUfrrFfo2PIq5w57m8MmOS0J +nVqqtd/lzTlqCLzAqFV2NsnP/TnnhDqlXts11583L+fV+ZsxWns8b25Nl8/T +1OprrX8DeZ+Ppm4MXYXPTdXm6gbZWVFvTneqz+ns13LWnuG8eQx/4RMcnhna +Navofbfz3rtEdv7Juz7mBk/mqX8/Mw/vL5qr8B07ncEBcgdv1gY3uBNm1/te +WJc3RuADdpuDY+j97jrXz/VK1wv732o2D98RB3c0ef0OjfsL5ss1cXhTs/kJ +T4fyvp/QA3JFXZCXO5l19i41KP48pvPOaE1JwXk6ltk2dvAHjVvwfz2WO1fo +KvoJF7E7JjBHQ64UXReXi64htIT6Jz/wjByBDXWC5s7RmV8Gb8gZdQkn0YLh +0JfniraBluyLOr+s/m19fyzfTjb7/GXhAxy+EDy+EPqPzucK9n1jozlEPNQ/ ++p0PragaY40ZmVkXlwWXFhbt5yL1Hwn/JxXDrUZr0kDkHhvYQhOobXABN2Ki +3ohra8Eaur3JXAYrMGXfh7G3veDcn1Jc8wuO6avMuHXGm4Q7pDe0jPyMidip +M+xQa9xRp8IP1lL/cK0haojY4T46B77wlTOOxJ2Bbn1TdH3xhiGHiyuND2P8 +pybx+ZnQy+7QFLgD58kL9wcYokf4PxD11h1ah/7iy886a0nmXF1vdBx7Q2Pr +o/bBCt04VGHtgB+c3R1cJV7OJPfEAlYPZdbPSeqPF22fc8h/fdicHvcFZ9Hn +Y8xbB/+xCT8aArfazJjUqM9lxgTuoL1d8V5pCHw4oyvek2DAb/jDG4f8T4uz +0OAZcX+hu12xnrsAvjFGE7lf4RvvtnFxl6FDYEAe0TgwAZtLme2tLjgO7gfW +ownoOPU4FPVC3XwdvD+YuTE+lHntyni/YgubEzLX//KwcztzPtEkOED+4RD7 +qB32Eldb3Cnkivca2K6q8m/E2Be6iY0DwRXslmXWk6rMNlfEHcRdciBn/nHO +ypin4Ru6x+89sQYuXgzf0NbWeOOB2f5Ys6tgvUV30UcwnR913Bt3J9pD7VF3 +cIHaoC7Ydz10G63n3sBvsB8M/HcWQsObjEFn4IC2TQ1drYh4iRstPBM+gD2/ +gzl3D7l/vmiOrAqeoCcd8S5FhxeGD7y55sS7i/paGlqBvSnxrgCP9YEJePIf +htxxN2JzMN7VU0NXuUe5Z9C6obgXmCd3PfGuaI/3XXe8D+Aatfkfv3fUBQ== + + "]], PolygonBox[CompressedData[" +1:eJwllEtIlFEUx4+mzqgzfTIzOd9nU2CRr6hlUKNQq7AIclZWGiYRtPFBu9Ba +RRg+S9NNRZavDCoLLNtYVBoUGbVqRmvTg7JtmSb1O5zFgXPvef3v/5xzC+sb +Ew3pIlKNZCBbwyJH80RaAiI3EV9EZNYRWckRGc0VGfJEVrNEHuD7K1/kBzKM +3pkpcg3bLeS0T6QEmUXvLRCZJ/GjkEgqJvIeqSTfP3KUoo/g0+AXOYDcxjfF ++Te2QUAl0YNIEec68mWj9+FTQa0OcvZGyYv4OZ/E/hf7FDnvBMGVJnIQWz+1 +miOGPcEbPvK+Ue4eow9wdwb9RMT0MHcr5NiRZW9aRvetFwlxX6tccM5BtmAv +pl4V+e+7Il3Uf4NPHr6Z2L9TuxCfLPQ49jHsT8mXhn8H0gb2BBgvgPWIa9xp +zGH0PeBrgf9z1HsSMI6UK+UgQL6eqMVWIW3Y/sBrq2MYm9Qfn534VoCvGd+L +8PXVZzW1di/+ccd6Ese/nVpl1LyBfh1ZyrdeZINpCv/GtfQybLZqOFr1jOu7 +a7j3DINiUc678V8kfkSsh+PUPs95CH2KfEHstbzxGfpecmxDv8xdZ4b1tJ1c +09QacKxXu6hZEjPuJ8D9LmacK/eao4b4Gc9mbRFJYAuEDbNiVQ7rOG/gjfc4 +FwRthnSWtIe56ElyniL3F+56wJukdmHEfDcRs4CtiXyHcm0n9lFzHW/PIH7e +tTfoWwQZJt9L4v0R653uzCyxcerXcO4nR2fUan1Guqk3hv+nsO2azuSlqM22 +9kd35yq2s47NZjM+KddqX0Fa4XaBmuU+2yHdJcW6m5jpgGEup/Yxx2ZDMeiM +6qxqjybINYB9BvvTgMWUhg2zYh1UTDHjVnvUB7Yiz3ZTd6QY/YNrsz1JP5Lo ++13rtXKkXPk92wWdT92lt/D5zbH3Kw+vXPtLdEdeuzZTOls6w2X6F+Qbt7rj +uuvKmcbqTHdxfu7Zruuf9AK90jUsc4QFsC9TbylkM6QYVtDnQsal5hEwHc+2 +Ha73bBc68uztuhPj3Pl99qfp37aZ3qYcmw3lTHugvVCfdOo9JPdkyGZX91Z3 +UHdRezRP/EZyb3ds93QmfxI/KoZBsfwHhVXHpw== + "]]}]}, + {RGBColor[0.825459625, 0.82918175, 0.8009545625000001], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNlktsVVUUhndb2st9lFvvLT095TZqqKZFCQYmDhCNjsQJQpngg2B8RAcQ +0WlDcQBiEJFSpGiiDloUNDEkktDHQKtRgYnSgag8fEzwkTDTQav+n/8yOjg5 +9+699lr/+v+11j43P7Zj4/bmlNJVPS167ulI6XQtpa2VlD5oT2mTnt+aUhou +prRLT0VGg7KZlk2xkNKzWUrjcjCQp9RUsM3XTX7zf0p7vUX72b9I/3VuVTWl +tfLf0Pr2ov03y/aZOLOplNI+nftG6zNFx9nXYh+D4eeHekon5WdGtpOyfUnP +t7I/LDy/yH60J6W2gtdmlddm2Q2W7Gd/w36OZI5LTHKYVKyJZuO/Xf4PKM9x +4dym/YG2lF7U2VcVe6TF8e5ss/2H8r+zU3iXpPRuOaVCwXkRv7/N5zl7r3yO +yeesfBZlf174F4RpTs8FPatLxgEeMEyI0zdaU1rZbX/4hatjmXG8rDx2yN9f +4vSa9nYXrRMa3SL/l+S/r2zeeoPnicBNnObM3Ax1yWfZXGL3lM6eW+K1++W3 +U09Xi/PmfbHJfpfJ73K93+sxj8eF91rVmMCDr0bEHVLOD5X9f1Bxr2t/Wviv +KI+Di6xhqdXYqRn8Toam8PWpnvmS8yPPQ7Jrl58vhX9vl3miZn4lR9mO6fx0 +yTFn42xZ+PqUezE3759UXGtwMh66U4NPRx3iA3t8ssbe6eQ9/oMTLAMF4wEr +dQE/W8XBlZrz/jy3didy98Vw9Ai8Xl1kTgdCP/K/rWDeWaf+jlecC3VAno90 +225XYFgautEXaPhO9NZmYZipmeMlmeOdEobX9Hud/ByVbsPSa7vsOnXucepR +9jt1/iPV6k1aP1U2P/Qidf6m1u/W+qOy2VI2PrDt1bOmZMzgnYh1NAEzZ+Hl +TKtrrj93HS7o/aTiXlDcn4Xv4W7z/WDmmPuiv9ZWnQ+5bCn/5/v5ms9zdjTz +zJpqWNs9oe9bwry7ap6KUQPtufP+s+bc0a8/evxj+rTqmbEicIK3I7dNNbfW +F2O2FJd5PtS0fiYz3t+73Ffsf9ft2qFHqB84vavi+j7cY+wjmTVEP7Sbz+0H +f+RJvvAyJMztded2Q+64xF/fbW4f6HbvPVdxPUxmjvlHl/VhxoAbndbE7/ma +5/7W6Bu0hSNmJTMTHdZ1WHv2iDldNFfvC/+Gxbo7Ms9q1tmHT/ap80uBDYzf +y8fKuuuDml8RvbMmamhauV6uen4xYw40XKvU7J6oOTQFx87AeVb2t3Z6RoxE +/5DfF7ljnM09X+fCP3O61OlZXdb7vrrrhTlELHr4Uu6ZwP32k/ZX1d1X3C3w +C7frq74LuZ/mov7xvzrmObOJOka3Uu79udCAWUk9XM7NzeqwZx7sjT6C1x2L +3eu8yYXfxOP+RB/OcR4dz1V9rzDbzufm4Vzuu6MR91Elt84DDc8j5tLJ3DPp +UOiF5ptC9xNV37XU5VTRMVlnPp+KGc2MZb7iH03oJ3QhD/KBk42Z74HPctfF +ZMxA7gFwolufsG+r+15hn3jEopbpXTgnBrH+nbUjcR/RH9QuXNNbV+JOQbOh +mIfT4ZP43DUbglvu0uuBYSrsyBNuiEcPE5/7sDf2Z8IGLWai5scy19CRHs8O +6mswvjsWgtM7xOdozRhv7PCchUfqDhzkdKzqGfTP/IlvCLSZiG8UOHlCNm/X +zQ1+6QvmxAtVz7ulMUfQhhxe6XDv0XfgWghcfIvN1l1PX9XsF598W4Dn9czf +Aj/WnT/agHd5aM4bLTi/Ob6v4P1g5EJP9oUtvLB+NDPPk6FF3//8/Q3e5WrA + + "]], PolygonBox[CompressedData[" +1:eJwlk0lI1HEUx1+TNTbbf5qZmsWBCiRyWo8dyqAgqC6hdmlRjKBbknUVqkME +iS1mOdalg7YZlJAQo6cpKvPSdnM0qIst0K0OWn0e38OD9/u99ft976073tVy +KmRme5E6ZCJlVkF2xMxWhM1SebOm5Wad6An0qYRZc9KsHXs5ajbLXwjbMElq +6I+QMO8quUJZs1sFszkST5KzVjR7i30j9l9IG/a//C8gHeTLRMz+ob9HzvCe +x2cttbYFZjt5j1HvJjFtcbNW5DL5KsgT9J9LzFqwNeXVy3Z6Lnk/xH5Nm90n +fpL8kQw98LeI/oB8M8Sfpd43at0oCKNj3UB8En0xr1zPwLOA/hTZFxaGafTb +1LwGvuZlZn3k2pwWR87NCDXjvE/zPsz7Iu/+gnB993rEdmJfkxS2BnBMOd/Y +uurNRtEHCvLtpcZ1/Pvw3ULMPXINIxF8foC9kR6j6GWwdWeE7RAYy/hP8fcS +3yrSTS+709KP4FPfIN6d/xjxQV7YS9RspV6N2MaMemvEf6Ko2TnmIexj+GfC +4sS5cayb0urNMZ8n/iTxQ+irIsrpuR3jG/y/4Psw0Gzcx2fqs/WZDuA7WBC3 +V6lXzgr7laS4dQ5KRe2p7+hK8n1glvOBOPaZLiXmIFxGyFFB/71as7zDewT/ +reTrIF9PTDvSVBQX4+T5WNQMfBae4zG97ML3hHMc0w38Id+46QZGsb/Kaxf9 +Bl6j7yF/T1Kzf4Hc5X0hEBe+4/G8Zucz8FksUvdcoLfXmMnplp7Tbw39EvU+ +14nzBHjmUpqpz9IxDGbFld+c357vjO+O30wveD4h+wNx5txV6Wco0K74zQ/4 +7QeK95vrz4pH59N391hO3PnOHUU/kFNv7+gxju96Zj0baFd856bRoxlh95v7 +D/V8nes= + "]]}]}, + {RGBColor[0.9129594355950474, 0.916160239761895, 0.8776958675986122], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFkztP1FEQxWfBuFl2l//63w2bJcSNlYmNfgW1NRYolD6gEBvB6AqJpWKs +1M5nBcTEBAos1Uhj44PE+PgI6wOQVT+B58e5xOJm5s6de86cuXMPTEyPXuqL +iLNa/VqT5YixQkRDKy8qXrY/lUUs1SM6lYgJxc5o1Qs+n0w5S7WIk8rZUs6J +gvPI6ZQi9peM97IZ8QYu2U3lfteaq0bMC39RfnMg4qhwFuSfE866/Fvyryhn +tSU8YTyXnc0j/mbmf6x1cG/EtrgeCrennAfDxuUe3J+Fc7gRcb3qfLC5c037 +Wa3X4v0pnhVhrsnvyv9Y8zn7uYTTrThG/kDRFt52yXnk7FN955V3aCTivurY +pp6mOa8m3l9F9/LuHtfLHv+C+At1543KPlUNPfkzsn3aD4njh+wRrWeKX1a8 +v+77p9GuWt6Lf0HxRa3Nivt6M3Nv0co96v6Q+klflzPrRwNn9Ahd92rm4876 +YMSG/Cc6KxetnxxwidGDL7lnBW3EiaGr1rLuQdkbmfWg5aL8r7l7xJsfq7lP +G5m17fQpdx459Jd56qX5ZO4+aZ4eSfuqtL0aMQdcuey0cmdKnjkse+rGRwNx +ahyruk4w8MGfalgz2rqV/29Oz+CGl3dCB3y7msFpp5kHB7x28ukjvQVrK/0l +/gq41MZ/Ab+T/styy3W+k10Ztr8bm0laqG8t9Zp5/1YxN/+S2eE/8193ak8+ +etjfUb/G+RNN1zme+jDYtL7bQxFvW37nU4qF3uh4zfMNB1zUyRk5WcvnL3Ln +cM4fzZMmtNGHP3rP35lr+QdkNZZf + "]], PolygonBox[CompressedData[" +1:eJwtkUsvQ3EQxacqhNv2Xr2iuWVjJbHyFVgKEoKl54IVi3olNhKPncdKS+2I +RKILliKxsfFKBF1aqqSlxSfwm0wXk5z5z5kzZ+bfPjU/NFcjIp1ELfEYE+n2 +RCYiIllHJJ0Q2aUwGhXZaRPpoTbjiixEjJOPixTJv+tFysR+0nCFOKB3m54R +ei+IQ/J38sW4cdNwswnTVo5y+32RE2Z8od0XApNvop9opI+3TNK01ZN626Le +SxSopdDIJEz7u+qlQG0PvTPqy9QHyV/JV3Um+iHydfRbGm2nH3CKG3yAx9j/ +2DNP6qXEWxj8FjcvOuPUM03Vqqg/eod8w9OOeVuGP+5UPao2b0tRmzEAXqM+ +5djOYfzf8g8O2jn8d/n2J/oXusNlIOJTe4ETg9vJzSZ5v0IjD372bGfdVWd8 +gp88u80KscF+s80iR47dNEde8q12Q37dZn9VYZ9h9F3mlcEddSIeuKHVbqUz +m8gfAuOqp8fAdvl17Xa6UxHtc9e0dWY8MC3VUK37wHbVGXfgGvjim75y/ly7 +qd5Sb/gPMeZlYQ== + "]]}]}}, {{}, {}, + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{5768, 5902, 6578, 6577, 6604, 6603, 5972, 7356, 6042, + 7309, 6043, 7310, 6039, 6808, 6041, 6806, 6040, 6807, 7389}], + LineBox[{6075, 5891, 6829, 6572, 6602, 6601, 5971, 6415, 6416, + 6414, 6418, 6921, 6417, 7210, 7381}]}, + "0.923`"], + Annotation[#, 0.923, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{5767, 5901, 6219, 6218, 6365, 6364, 5757, 5890, 6571, + 6570, 6600, 6599, 5970, 7355, 6037, 7307, 6038, 7308, 6034, 6805, + 6036, 6803, 6035, 6804, 7388}], + LineBox[{6074, 5880, 6828, 6567, 6622, 6621, 6001, 6441, 6442, + 6440, 6653, 6652, 6073, 5879, 6566, 6189, 6237, 6236, 5969, 6410, + 6411, 6409, 6413, 6920, 6412, 7209, 7380}]}, + "0.8520000000000001`"], + Annotation[#, 0.8520000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{5766, 5900, 6217, 6216, 6363, 6362, 5756, 5889, 6203, + 6202, 6349, 6348, 5747, 5878, 6565, 6564, 6598, 6597, 5968, 7354, + 6032, 7305, 6033, 7306, 6029, 6802, 6031, 6800, 6030, 6801, + 7387}], LineBox[{6561, 5869, 6912, 6498, 6176, 6323, 6928, 6322, + 6497, 5868, 6827, 6560, 6620, 6619, 6000, 6438, 6439, 6437, 6651, + 6650, 6072, 5867, 6559, 6175, 6235, 6234, 5967, 6405, 6406, 6404, + 6408, 6919, 6407, 7208, 7379}]}, + "0.7810000000000001`"], + Annotation[#, 0.7810000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{5765, 5899, 6215, 6214, 6361, 6360, 5755, 5888, 6201, + 6200, 6347, 6346, 5746, 5877, 6188, 6187, 6335, 6334, 5738, 5866, + 6558, 6557, 6596, 6595, 5966, 7352, 7353, 7302, 7304, 7303, 6028, + 6798, 6799, 6795, 6797, 7367, 6796, 7385}], + LineBox[{6554, 5858, 6911, 6496, 6164, 6311, 6310, 6495, 5857, + 6910, 6494, 6163, 6309, 6927, 6308, 6493, 5856, 6826, 6553, 6618, + 6617, 5999, 6435, 6436, 6434, 6649, 6648, 6071, 5855, 6552, 6162, + 6233, 6232, 5965, 6401, 6402, 6400, 6403, 6918, 7207, 7373, 7206, + 7395}]}, + "0.7100000000000001`"], + Annotation[#, 0.7100000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{5764, 5898, 6213, 6212, 6359, 6358, 5754, 5887, 6199, + 6198, 6345, 6344, 5745, 5876, 6186, 6185, 6333, 6332, 5737, 5865, + 6174, 6173, 6321, 6320, 5730, 5854, 6551, 6550, 6594, 6593, 5964, + 7350, 7351, 7299, 7301, 7300, 6027, 6793, 6794, 6790, 6792, 7366, + 6791, 7384}], + LineBox[{6547, 5847, 6909, 6492, 6153, 6299, 6298, 6491, 5846, + 6908, 6490, 6152, 6297, 6296, 6489, 5845, 6907, 6488, 6151, 6295, + 6926, 6294, 6487, 5844, 6825, 6546, 6616, 6615, 5998, 6432, 6433, + 6431, 6647, 6646, 6070, 5843, 6545, 6150, 6231, 6230, 5963, 6397, + 6398, 6396, 6399, 6917, 7205, 7372, 7204, 7394}]}, + "0.639`"], + Annotation[#, 0.639, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{5763, 5897, 6211, 6210, 6357, 6356, 5753, 5886, 6197, + 6196, 6343, 6342, 5744, 5875, 6184, 6183, 6331, 6330, 5736, 5864, + 6172, 6171, 6319, 6318, 5729, 5853, 6161, 6160, 6307, 6306, 5723, + 5842, 6544, 6543, 6592, 6591, 5962, 7348, 7349, 7296, 7298, 7297, + 6026, 6788, 6789, 6785, 6787, 7365, 6786, 7383}], + LineBox[{6540, 5836, 6906, 6486, 6143, 6287, 6286, 6485, 5835, + 6905, 6484, 6142, 6285, 6284, 6483, 5834, 6904, 6482, 6141, 6283, + 6282, 6481, 5833, 6903, 6480, 6140, 6281, 6925, 6280, 6479, 5832, + 6824, 6539, 6614, 6613, 5997, 6429, 6430, 6428, 6645, 6644, 6069, + 5831, 6538, 6139, 6229, 6228, 5961, 6393, 6394, 6392, 6395, 6916, + 7203, 7371, 7202, 7393}]}, + "0.5680000000000001`"], + Annotation[#, 0.5680000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{5762, 5896, 6209, 6208, 6355, 6354, 5752, 5885, 6195, + 6194, 6341, 6340, 5743, 5874, 6182, 6181, 6329, 6328, 5735, 5863, + 6170, 6169, 6317, 6316, 5728, 5852, 6159, 6158, 6305, 6304, 5722, + 5841, 6149, 6148, 6293, 6292, 5717, 5830, 6537, 6536, 6590, 6589, + 5960, 7346, 7347, 7293, 7295, 7294, 6025, 6783, 6784, 6781, 6782, + 7364, 7399}], + LineBox[{6533, 5825, 6902, 6478, 6134, 6275, 6274, 6477, 5824, + 6901, 6476, 6133, 6273, 6272, 6475, 5823, 6900, 6474, 6132, 6271, + 6270, 6473, 5822, 6899, 6472, 6131, 6269, 6268, 6471, 5821, 6898, + 6470, 6130, 6267, 6924, 6266, 6469, 5820, 6823, 6532, 6612, 6611, + 5996, 6426, 6427, 6425, 6643, 6642, 6068, 5819, 6531, 6129, 6227, + 6226, 5959, 6389, 6390, 6388, 6391, 6915, 7201, 7370, 7392}]}, + "0.49700000000000005`"], + Annotation[#, 0.49700000000000005`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{5761, 5895, 6207, 6206, 6353, 6352, 5751, 5884, 6193, + 6192, 6339, 6338, 5742, 5873, 6180, 6179, 6327, 6326, 5734, 5862, + 6168, 6167, 6315, 6314, 5727, 5851, 6157, 6156, 6303, 6302, 5721, + 5840, 6147, 6146, 6291, 6290, 5716, 5829, 6138, 6137, 6279, 6278, + 5712, 5818, 6530, 6529, 6588, 6587, 5958, 7344, 7345, 7290, 7292, + 7291, 6024, 6779, 6780, 6777, 6778, 7363, 7398}], + LineBox[{6526, 5814, 6897, 6468, 6126, 6263, 6262, 6467, 5813, + 6896, 6466, 6125, 6261, 6260, 6465, 5812, 6895, 6464, 6124, 6259, + 6258, 6463, 5811, 6894, 6462, 6123, 6257, 6256, 6461, 5810, 6893, + 6460, 6122, 6255, 6254, 6459, 5809, 6892, 6458, 6121, 6253, 6923, + 6252, 6457, 5808, 6822, 6525, 6610, 6609, 5995, 6423, 6424, 6422, + 6641, 6640, 6067, 5807, 6524, 6120, 6225, 6224, 5957, 6385, 6386, + 6384, 6387, 6914, 7200, 7369, 7391}]}, + "0.42600000000000005`"], + Annotation[#, 0.42600000000000005`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{5760, 5894, 6205, 6204, 6351, 6350, 5750, 5883, 6191, + 6190, 6337, 6336, 5741, 5872, 6178, 6177, 6325, 6324, 5733, 5861, + 6166, 6165, 6313, 6312, 5726, 5850, 6155, 6154, 6301, 6300, 5720, + 5839, 6145, 6144, 6289, 6288, 5715, 5828, 6136, 6135, 6277, 6276, + 5711, 5817, 6128, 6127, 6265, 6264, 5708, 5806, 6523, 6522, 6586, + 6585, 5956, 7342, 7343, 7287, 7289, 7288, 6023, 6775, 6776, 6773, + 6774, 7362, 7397}], LineBox[CompressedData[" +1:eJwNzckug3EYhfHTra2xSMTaVLO9NRIXYKi5Ela4IIqycxV2XIGY2hqqvQW/ +xZP3nPP8832j5dP1k0KSFVwUk/u+5HcwWZKb/cnxQFLBon7H/XALcoM7sh9i +Xq9x39ycXOcO7PuY1W+5L25G/uT27LuY1m+4JleSP7gdexlT+jXX4Cbld27b +voUJvcrVuXH5jdu0dw0lG+6Y7Yqv8ufyM55Q8a7H7UU3OmjjwX7p/Zn8Kq/5 +xiqW5T+3jRY6KPjHyHDyiBf8A4VVMh4= + "]]}, + "0.35500000000000004`"], + Annotation[#, 0.35500000000000004`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV0DksHmAcx/HnLeq+FlcsRqWuqrqPotR9m7qIUXSgCRFet4kFk06vhUFI +GOx2g627Y5HYTf28wye/5J/v8jwlM7/H5iMhhBWieSEk5YdwVRjCJblFIeSw +4zZppxhjgnH+6N85156R7ZbFtn7EjjLIMEPMad841cbIdMtgS99vB+ilj5/M +ah/5qz0h3S2NTf0P20Mn3XTxS/uPY+0RqW4pbOg77HdaaaeNae09B9p9kt0+ +sq5vti000ERj/O3aO/a0uyS5JRLVf7P11FLH1/ibtbesa6MkuH1gTV9jv1BJ +NVX0ay9Y1i4RcQus6j/bCj5RTln8j7QxFrUL3HBNqf65IIQXHnnisNif8MAr +/wF1Pzza + "]], LineBox[CompressedData[" +1:eJwV0EkvnVEAx+FjY7ZBXfM8XN+FjY2ZupTYVCoxtNenkIh5nhK0+Bx1zTUl +irYL5Ut4LJ6c8+b/y7s4FbGhps9JIYQ495EQVvJCOHRuc8RPJogWhlBPHQP0 +k1UcwrL+wL7FHbfEqbHXUs0n+sjUL+n37ZvccM03Ku1VVNBLjAz9ov6HfYMr +fvGVMns5pfTwkXT9gv67fZ1LLhin2F5CEd10kaaf1+/Z1zjnjDEK7IXk00kH +qfo5/a59lVNOGCXPHuED7bSRop/V77y/K8ckGCHHnks2rbSQrJ/RN7sPF+hJ +MKj/kx/CX5545YUvtmn9P/1/3w+6RmcDUfcH5yO/eWbS/6d45g3PY0oh + "]]}, + "0.28400000000000003`"], + Annotation[#, 0.28400000000000003`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV00dPFWEUBuAxceHSlUZRULAD0qQjSFEQKya6cqFgS0w0lrX/QuwFu1RR +ir1gr4giiAVE7Br37ny+xcObvN/hzJ2Ze6dWb1+1bVQURWP82TMuikaPj6Lm +CVHURAftJOp+x0TRH4YnRtEv+ZNp+vpJUdTADnaxkwX6IeefGDQ/KD+y2/5/ +FJqZzyqq2GK+1HkZneZLZDEJ+gH5Lvy//oN8T5G+X77lg75PvmGr3X8psDOf +laxgs/ki5wvoMF8o5xOv75Gvwl59r3xNob5bvgzX1r+Qz6mxe4Q8O3NZzjI2 +mc93XkC7+TyZy1T9Y/mEAf0z+TRcW/9QPgr3oH8g77PW7rfk2JnNUpaw0Xy2 +8xzazGfJTKbo78gu+vX35N3wOfS35G369DflDdbY/ZwsOzOpZDEbzGc4n8cl +8+kyjTj9FXk1PF/9dXmNfH2nvEyvviPcN1V2dzHPzgwqKKfGfIrzVC6anyuT +idW3hi48d31buD55+hZ5IbwbfbNsYpndnaTbmcYiFlJtPtF5Eq3m58jZTNaf +l/X06BtlQ3g3+rPyXHjH+jPyNJV2N5JqZwpllLLe/Ezns8JnMj9DTmeSvk6e +oFt/Sp4M70l/TB7nhf6oPEKF3XXMtTOZEopZZz4h/J5oMR8fvjvE6A/Ig+H7 +pz8sD5Gt3yf380xfK/dSbnctSXYmht8hRaw2Hxe+LzSbjw3PhrH6YfmZIf0X +ORLuTf/d7/4HX/lGnz3/AaObonU= + "]], LineBox[CompressedData[" +1:eJwV09VSV1EYhvGFMeOZI0rqiaeOXXdgNwqCIiBISNvdHSB2i4B5BWJ334Tj +2Ird/VsHD+83z/rm/e+99tCzsCajOiGE0MmfD91D2JscQltaCLVoxTkMTQnh +ubMXeJQewjP5FOn8TrkLD/k9cjfy+R2yAQ/4elkXZ36P/nTzCb5jjxA6YAhf +I2tRjbM4gzR+i92tuG9/u9yGPH6T3Ix7/Ea5Ie7wu/WnmVv49jraYTBfKatQ +gdM4hVR+jd21uGt/vVyHGfwquRp3+JVyRfwtfpf+VHMzn6AjYBA/W5ajDCdx +Ain8ErtLcdv+crkMufwiuRi3+IVyQXyGeJ/6U8xN/D/5FwP5En2lKEYLmpHM +z3E+Fzftz5fzMD3ep6zFDb5aVsV34Rv0J5uP83/kbwzgi/TNQiGacBxJ8b2c +l+O6/UpZgWl8qSzDNb5EFsd3jN9df5K5kf8lf6I/X6BvJvLRiGPoxs90Xoir +9mfJIuTw+bIAV/i8+E3iXfH1+ruZj/E/5Hf042foy0MujuIIuvI58Xlx2X5u +vBtk81Nj4hKfJTPjHfJ1+ruaj/Lf5Ff05afpm44cHMYhJPKTnGfgov0pcjKm +8hPkRFzgx8tx8Vvw2/Unmo/wX+Rn9InPoy8bWTiIA+jCj3I+Guftj5VjkMWP +kCPRyg+Xw+I34rfp72I+zH+SH9Gbn6IvE5OxH/vQmW9z/haP7b+X79CLf+3/ +/g1e4hWe2P8PJlmgWA== + "]]}, + "0.21300000000000002`"], + Annotation[#, 0.21300000000000002`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{5702, 7182, 7183, 6765, 6767, 6766, 6004, 6107, 6108, + 6047, 6057, 5770, 7184, 6768, 6769, 6626, 6628, 6627, 5927, 7357, + 7358, 7311, 7313, 7312, 6046, 6509, 7359, 7361, 7360, 6110, 7377, + 7403}], LineBox[{6809, 6761, 6762, 6760, 6764, 6763, 6003, 6654, + 6655, 6510, 6511, 5769, 5701, 6076, 6077, 6056, 6079, 6078, 5926, + 6500, 6501, 6499, 6503, 6502, 6045, 7197, 7198, 7196, 7376, + 7402}]}, + "0.14200000000000002`"], + Annotation[#, 0.14200000000000002`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{5700, 6939, 6940, 6623, 6625, 6624, 5954, 7340, 7341, + 7284, 7286, 7285, 6002, 7194, 7195, 6810, 7375, 7386}], + LineBox[{6080, 7185, 7186, 6883, 7188, 7187, 6022, 6771, 6772, + 6770, 7190, 7189, 5953, 6505, 6506, 6504, 6508, 6507, 6044, 7192, + 7193, 7191, 7374, 7401}]}, + "0.07100000000000001`"], + Annotation[#, 0.07100000000000001, "Tooltip"]& ], {}, {}}}], {}}, + AspectRatio->1, + Axes->True, + AxesLabel->{ + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + AxesOrigin->{0., 0.}, + DisplayFunction->Identity, + FrameLabel->{{None, None}, {None, None}}, + FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines->{None, None}, + GridLinesStyle->Directive[ + GrayLevel[0.5, 0.4]], + Method->{ + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, + PlotRange->{All, All}, + PlotRangeClipping->True, + PlotRangePadding->{{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, + Ticks->{Automatic, Automatic}], ",", + GraphicsBox[{GraphicsComplexBox[CompressedData[" +1:eJzVvQd4lcXyP469YO+9Y7uI2Bv66rXXK4q9c+0XsWDvoqJiQbGLIKJSFeld +SoAACSUJECAJSU5OTk7KyQmWa0X9J7vvZ+Y7n5f3l+u99+v3+efheZbZ9u7O +zs7Mzszu2bfr3Zfcsn6bNm3G7dKmTUva94Bzm/+NCdqEfx7OEbh0wl3N//Kp +vEhgV1xaLHCJzxD4t99b/ioEfsO1rxJ4/xawb7XA413zGoHPdh+sE3iV679B +4H+4ATYK7P/WEKzzxPwAY362vEhgzA8w5gcY8wOM+QHG/ABjfoAxP8CYH2DM +z67TGoJ13Xiedn45NL8cml8OzS+H5pdD88uh+eXQ/HJofjk0vxyaXw7NL0qH +6143nmeRwJgfYMwPMOYHGPMDjPkBxvwAY36AMT/AmJ/dR2sI1n21bjrMicwL +sF2/Ilq/Ilq/Ilq/Ilq/Ilq/Ilq/Ilq/Ilq/Ilq/KJ9Y977KiawTzwsw5gcY +8wOM+QHG/ABjfoAxP8CYH2DMz/K5NQQr31s3n8iJ0B2vE88LMOYHGPMDjPkB +xvwAY36AMT/AmJ/l22uCOD6+br6XE9lHTHe8TjwvwJgfYMwPMOYHGPMDjPkB +xvysHFoTxMmldfPxnAhf4H3EdMfrxPMCjPkBxvwAY36AMT/AmJ+Vq2uCODmL ++THfZj7HfIH3EdMdrxPPCzDmBxjzA4z5Acb8rJ6wJojTGzA/lkPMt5nPMV/g +fcR0x+vE8wKM+QHG/ABjflbvWRPE6UGYH8tVlkPMt5nPMV/gfcR0x+vE8wKM ++QHG/KwetyaI0+swP9YTWK6yHGK+zXyO+QLvI6Y7XieeF2DMz+qla4I4PRXz +Y72H9QSWqyyHmG8zn2O+wPuI6Y7Xiedl9ew1QZzejfmtW49jvYf1BJarLIeY +bzOfY77A+4jpjteJ54XxDYo5TwwKznH/WSX1urn2qyMw2vnpZKlf/Q7683ia +Ku0Bo9z3kyvlgFHu+y2g7xdIuftc32VSzjDq+TQh5YBR7tcnKeWAUe77S1H/ +KSn365mWcsAof90V1Es5YJTv5/IzUg7Y4ikr5YB53eLWEevG6xK3TrwOvE68 +DrxOFs+rZD/ErRv2h12vVVK+7noJyk9S/ZTAWA/AwD9g4NvOb00E/4xPi6/i +yDi5v3XjJxGhU0u/iVi65HkzHTOdMl6YrpluGW9M50zHjFeme6Zrxjtg0C/w +znwnbh9wOeOd63M5YMvHszSONdSez03Rcdtz01Q6J+WSfCgQOG4fMd2BTgCD +Dmz9FJ1b0gJjnQBjHViOMd5Rjnn/p/NkPsD7HTDmZ/dZis5haYExP8CYnx1f +NnJ+5e/G4ZnHxXjncfI68Lh5XXgevE48L5bLqL/uebIcGUNwDsmJfCov+rfb +WT5TITD0IcDQhwBDHwIMfQgw9CHA0IdYvvxZ3/X9loR4GCGwX5+ZAvt2CwR2 +nz+g8N9uB9iPu1xgT4cJgT0ekgJ7OqsR2NNVrcDjXH/1Ap/lvqfz/LO/a/XZ +vlLu6XuCwL54jsDdXfEiWp+lMm43vN9XhO0qBcY8uNx+t0rKMU/AKLfrl5Jy +4AEwylHf79+0lANPgFFu8V4n5cCjnU8drUuDlAPPdj4NtG5ZGn/2P14HwOg3 +bl1sv/HrxHhvbZ0Y762tE+O9tXVivLe2Toz31taJ1wEw5ILHc1OAfYN9xPm8 +r1CO76Ac+VwPKcsj32wZ6RVqV2X93/LrhMCcj3GBjpAi35Pj8gjM9MawlRPR +elZulEk+YDuuKJ7QnutZOartGO9YP5THzZO/EzevuHlYellD5/++kXGgHP0y +nXE96I++v0GS2vwxkXLkTwj1TdRHinxfLydSjnzop6iPFPnQZ7gc+aBn1EeK +fP+dokg58u05LyEp8q2eouXIt3pnUlLkW7u3llv7d5rOiynJhx7E5ciHnor6 +SJFv7bRajnzosaiPFPnQs7jc2k+zUt+eZ7Kil3G5tV8ynY2JpSOkcXSCNI4O +kCKf19n6YaLriDRunazdP7oOSOPwjDQOj9aum6X5DYqcEy1/GyH1LX6LBUZ9 +6BGWj8wk+ZFL551cqX9AqHdYvreAzrkFUg69BLBr3qxXYx5x88S80A58kfkf +l7M9Lg4vcXiweMqNxUscHmx/BVI/Dg9xcgVygu0sLF84vzW8MBz3Xdt+kKyH +lZcjBI/AH8PAE/DDMPACfDAMvQN6qG9fKfCEUP+E3skw9E3omQxDv4ReyTD0 +SeiRDEN/hN7IMPRF0B/WB3gCPi2d5su8gQ/wLes/rxJ8WH46iOAxgne7PgU0 +rgLhw/gu2lk7aEJgK0dThP80jTtNcjNN61Ev/QK2crKO1icj/QK2crFB2oGv +WvtPluRgVtpZOdSmDdaHYeCX+ZLVz6YSn8uhdYnrNydCF4Dt+aiUzjMVpMes +Jvm2mvC6WvAGGHgBDPkE2Nopqii/SvYn+/2tnlUSGZfVn5IRP7qV6yWReVj9 +qSbil7Z0WxKZt9WfaiN+XtAb2jOeAIM/sN8U9Ae+DRj9MZ4Bg5+wX5L1L+Tb +/TxI+Dz4NmDwaeYbVi4sIHtolG+gvuXb0e9wv9wOMOgH9grQA2CkqIdyC6eF +3qyfJUF+lITwA1u/Rvq1duQk2Y2T0p7PHaA30BP6tX6blLRnPhvHR0Ff6Bft +4+aN9nF8FvSFfv36NQnMeGM82HlG+TL6w3cY74xHxou160f5OPrFd1rTU1rT +Q+x+UfsH7yPwbebDzCchp0G3kJPrtu+ulny0Y77JfJD5GvMp5jNYF2vHyxJf +L/nTvmvllsoVlhPM95mPM19mvsp2HchTpMi38V3lggfmP8gHPYBPIrV0MjNi +L0G+PUepPYT5JOgUKfNP8GOkyAe9sVwGDD2M5S5g6F0sVwFDz2K5CRh6FctF +wNC/WM4B9vgskvnac7zyWYzXntNr6FxeK3SI7zMfQYp8fBd8xcIqX8FnLJ+Y +SvQ2h+rnkpws+NO+w/i0dJ0S/GL9rZytIznZQHIuG8EvYKsfjyC6xV+B6MlI +MQ/U4Hn5/vR+wP+735wIHkBnVu+oIL9lgvyWCfJbJshfmqC4B7U3chwl1sHG +LSYpzi9JcXFJ4k81tJ41pKemSM9MURxHKjJP9Md6NMcJYt+hP9ZHeF48Ltaz +4/DKeOF5oT3r3XHrwnhlvPC8WI+3/J/vFw0i/j+C6HSQ8Pl1y5Ec0tNzyE4w +VdrbekVSbuUDy6F8+j7fK8mV9iynUA/ltl2x7CvLh4qJX1cIfgFb+3cF6ZUV +Eb3ByiH1azFfW/c5IUlySu0s1i5fHnMuqCE5VhOZF9qv+xxQK/LGjqOC7CDl +Eb3f2qEUT6jPer21UykeUd+vf5Pwf+SD/9tzVx3htYHwFO2X9Sf//aqI3PlP +vws7po07QryX2k1QD/m+v1KB0c7uK/Xnrlt/myAp8rE/IJeR2n2DeKnlkiLf +ysmZJN9mRsYBPgGYx4F9DtjK+STtkxTRdZrouJ7oMkN8EHgaFcI9Bfbj6Bfi +azDVy4mc29CvH/escF6TQ334K8nH/IBnxotP80K+NDdw0/p9nuSDj63bHp0f +5hcGE10Hi8PvFEi+vQcEeyjs1wr7cSXJPgZ8455NtcB+fVIk57Ee0E8U9uuX +JrkN+zXs3Qr7cbG9C/ZsyGmF/bgyJGezwUrXHnymUWA/zyzRLeKqFwi9AN9Y +f+snVbsI22fYvgI6BV347scRPYyRdffrO5v2ZY6sq2+/UPgN5D/GyXoAYNAh +y3HAoDOWwxZeGpGzgDEe8DPLP0sFbyi3+71U8Ihye+4rFbyi3PpPSgXPKLf+ +lFLhDygHjHLIJZQDtvGwTVIOmPk4z9vKGfD9CjrHqlxmOctylNed8c54tX6q +Etn3cXi2fqwS2fdxeAeM+tj3cetg7YUlsu/j1sWe30pk38etkz03l9C+j64b +YNT3+6ApnBevm+LR4zVJeE0R3moJL/U074zAtt3//nc9P6gUvAC2ccWVNL4q +0leqSL/RcUGOWD+yxlFDjth5pklvShMdpwkPdUT3dUTHdYSnBqL7BqLjDOEx +S3Sfpf2elfpxeASMep5vMl4rY/EKGPUhvy2ek7F4tn5RfK+a8J6KxTtg+z1e +h3TsOlj/J77H61IXuy7WH1oi8t+uUyZ2nQDb7zXSumVpfk0xeniUTwCG3ujh +wSLvPTxBYOiJkPeQy4ChB0LeW3troeh5nm9F5fq65fhSkTsWDwnCo9IF+Ljl +G8pXwIcBg88CBl8F/QO296fmkL6SIzDwBbxiXtZ+kE/6TB7p30tJzyoSGPhE +O6yThweJnob15HHa8U8VvQ3ry+PE+H1/uaLHYb15nBi/7wdxPEWy/vZ+e5ms +L+jW+r3LZL1RbuPOymT9UW7vkZcJPaDc3sMuI/29lO4xlwm9oNzeAy4jfV3v +2aIc+82Ov0zoCfmQn6A3xpP1a5aKfLV4TEo55K39XkrKIX8tntM0nlrCc72U +Qz5bPGekHPLayoeslIMvsd5i7btoV0nzZrnB82a5wPNmvs/zrie81NG8mW9n +iO+q/AWf5vW3dq5Ska827rlKyiE/bb/V9F3dFzbuslTkH8ptvE+pyDeU23Ns +qcgvlFt7MfCq8avgS+Ar4EvgL5ZP5QpfAl8BX7LyYLbwFRtnVSB8yfNRPW9a +Psv24ql0Xs6V8bJ9BPPB+Dyo9g+MH+NZt31jEcnXwSRH+xI8SOaN+uD7GJfl +zxMExvyAB1u/kPC8lOTCUvKnFkl9yBGMF+PzaT+KT58g3wc+ISfwPfQPfAI/ +vt4Y8i/pe10sPzEuW1/tD1butmmDepD7Vm/VeDDA9p2SctqfCbJbqd/dnnOr +6VyqeouNly4XGPLLvq9SQu+HlAsMeWbfKymh9zjKBYZ8s/HrJfS+RbnAkHc2 +7lrvT9h7cWtED8K62vXNI3ouFHkAvcDeN9bzJt9Tt+uYpHopWlc9B9h4GI2z +sN/LRr7/Z30XcgH5kAO2XjWNK03jqqNxNdC4eB1HCf/BeoGfYL3AH7Bu4MvW +rqf3Q3nfAV73Ps+J+KUB8z7kfcb7iPcJ7wOmcxtXmSA5mqT7CjV0P6FW+rP+ ++jUR2O6TUZF4qNb4EPMZ5iPMJ5gP8D4H7PE9QsbFcYxIwX+R2v1dSOcL9bPa +/pSO0A6pPedE/aHIZz8j+w3ZD8h+Puwz9q+x//O/9R3oveBv7Eez61pG/LIn +7cd+dB4fJ7DVXwrpnFco8tZ/b3DsOR9y3+7zUSL/7Xm8SuQb7DeQX7DHQD7B +vmLPVw0iX2D/wLis3B8Vc96eSfPX8zLoiu3a67Yzsx2Z7cRsB2Y7b9SewOvL +9nC2c/xZ4/LLGLWXAmY7HNvV2E7Gdi+2YyH9s75r98sIoQ/QC+iD40j+VboC +HrF+dr/2JT43gexhc0QftvJW48B9u2Iaf7HsQ5TbcRbTOAaRXl5MfLiY9LFB +Mi7wb8Boj3GivcXHiMi4+LvcD2Dg0dpRE2QX1XcTLX8pJf9sqfAXwOAvgK2+ +qX4nez5Pkr6fFtjG6VZRnC7oOUv1a+g8UC+wtS9US3t+D5L9uhwXY88PGdIL +sgLzvNCf9UvqvVyO+wGfsXpGNvL+oY2fT5Bfs5rsS0nyI2ocKscNga/xe4Q2 +vj5BftJqslclyU+peMP3UM73hDkOidcd3wef4HXF91HO64Tvo5zxjO+jnO8h +870E2A3t+Sop+wx2Qewz2AGxz2D3wz6DnQ/7DPzAf38w8YevBLb2hGKxk/y7 +7SzfKyT+G8c/NS6J+WFrcRXM/wBDTtn46jriKw20b7OR+jaerkFge99O4/Fs +HHqD0A3qc5wfxyXbOHWlq7hxcRxz3Dx5HnFxz3F44XnzvOLipq3eUSx2LUuf +RUQPy8j+pfmW3ipFPvh6laS/6TvFsE9bP0cF+VvxzjP3UxmTr/ei7bgWCgz7 +o7UPar7Fg97zt/b0uLgrfsehtbgrfrehtbirOrJPtxZ31UD3UTOtxF1lyY8T +H3fF51CmG+CV+Y1PexL/6Sf1wUfs+o0j/jNZ6vvyOdTfbDofz5VxWLrvR+Od +QPrYZBrHHCm3/RbL+tt3IVJCHzYeolrWG/Rg41BrZH2tn66B7CwZWW+sn/XT +ZWV9wYdxUgTf57i1dev7hVJu+5lJ5Tl0nqyJ6E2Abfyg6j2AbRy/6imAbZy+ +6hHcP+tNgK0fJ0lxzEny46gewu1ZDwJs4xdVT+Fy1lM4vtDjFeeOPDl3YP95 +eswlOtX7Z8jndbTnBvgXca5YLbAfj8a/QU9Cuad3hT3dcbxaksoV9nTC8Wop +KlfYryvHq9VSucJ+nTherZ7KFfbrwvFqGSpX+Fc33gzJu9JQH6uUep5fKGzl +H/CoePHtqwQGP7HxSilaB4XBX2zcYprWIU3rzu+219M61AkM/oP6Ho8ZWocM +fS9LdJGl+TGs/l+LN4X9fuD4LMZbFa0Dx2NVE96qaR30XA25bPFWQ+vA8VaM +tzrCC8dXNUi5p9cGWgeOp2qUck+vjbQOWRp/E81P8e7xDftXE+WPkXOI5yej +w3qfCuzrDyM/I/yriJeeJrDXu6aLHcaPZ174nbxw3Ar79vPJXwr/CvQPhX07 +vItdQXhMEJ503T0967r6fa98xe973R993HcbCV85gi87/08FBr4wf+tXzxN8 +AQa+MH/gC/MFvgADX5D7fJ7Dd1Fu5QT//o/q6Tb+O94vxHoAy2X2G7FewHKa +5S77mVhvYDnOcpnlMPupWM+AXRr9AUZ/gNEfYPZz2XgEvb8H2OM9T+yZPn8p +nc+LIvZav36zyB/Bdk+2a+o6A/bzrSC+y3yV+WYN8cVa4nvM13S/eLpuoval +QneWn1bQd5UuLZ0mCE7SOVXv5WH9UM737rCeKOd7dVhflPM9OuiHKOd7czZe +iO9RJCLrgH7YLmvtGIoHjsuw8YFqJ/WfVXss2oFu7feidmfr51I6icO7tbNU +0HlZ392y409G5sFxJDg3WRj0mIrYcXlf27g2vpdSE6H7OLqx9ysqqL3eg7Pj +53HXkP21Rs59Fobemo7YiZlP2XhEvldTG9nHcXRv74NUUH96r8+On8ddG4nT +wbnVwo1yTma7M/NdzI/9HICZL8XtW4vXCrKf1EXs/IB5HhxXBDsKYM/fcb5s +iNitMR/20wBmvhrHZ+z9mgqy7zRE/Ab2/YqGSJwTYIwXdgjAqIfx2HlWkP29 +guJeo/0AtnYoyI0EyQukfA81ISnOp/ZeajXxR32/09r7a+T8ae+t1tL+1Hus +wKOlb5yTmijuXu1vdp2bSG4PIn1uqsC+H7UP+H1S8B+2Kxa8WTyzPTdFeE4R +364lPKeJ79UTnuuJb2QIzxniX02CZ+DT7rc4v0fUD+y6/x96MctZ6zdKxMip +qDxi/s38jvcd6N+Poy/ZS2FnHSP2TesPn0B2zAlyToG9089zltTjdxt9v/lk +/8wjfXYp2eGLyO6u73ACn+APwKOHqwheSPQZtb+zfZ3t52wfZ/s38Oy/05PG +N472y2waTzWNJ03jqaPxNNB4GslfmEfnx0I5H/6//ZTRfWj5Wg3pW+zHrCV9 +hflaPcl75msqX6y9ISXrbP1y2D8p2k9pogt9z8PatypkfVHf+uWAhzrCSwPp +pfo7fta+VSH0gfrWD1dB9i31Y1k6VT9YHJ3DLhiHJ8DW71VNeEvF4g2w/R7j +MR2LR3sfsELo2uK1LhavgO33GgjPmVg82/uAFbJvbNyg2rugN1l9vZT0vzKq +x79rpvZwn63v7YMvWv6bI/wX/BT8lu8lgJ9af1Me8dul9B29F2DjpsZRXNds +6m9hpD7GyXLD9zM6HOc7FN86Svq341Y5AvuWQ+vvE+leySwZD+bBcsV/F3Fl +c0kfAV8sIr+twtYeuFj0F35PA/sP52prL64Se7E9lycpXgX7D3Ywhf38VZ+0 +8bLq58U5EvZkwLAnWz9gmt7Rwv6EPqUw7MvWT1hPdrIGOQfB3gwY9mbwd36X +H/sP5w7YnwHD/sx6rdUP+sr6232UR3I4T+gT+wL7COtv95nSuY1nnEz2FJWT +LBdZDrLcY3vU/5ZdGecYaxdTOxH8bpbPRe89Wn+Q+pusvl5K+FC/m+Wbes62 ++FK/mz2XRu9Joj78btaPEb03ifrwu7G90BdH3z1gP5zl90ni91E/nMV79N0D +9sNZvEffPWA/nMV79N0D9sNZvCteALMfDvVZPgJmP5ydb7zctPuoifCq8aN+ +f6p91+7bMbJPrd16jNRDflw9Kx/HiHyy7eaQfJ5NdnG9B85ylOtZ/pUj8sy2 +GxF5XxV8DvUtX8unfvNi64H/AYY8tPVGSD2cb227pcQ3iyiup4jOc4Wx9fw+ +we9cIF4Zv/eg8UCoh/y4evbcpHbTddsZK8jOV0F2sgqSnxqP4r9XRfcCquhe +QBXdV6gieVpN71qn6F3qlLS35Q0yLntuSpNdLC3zwXdRDn0cdjD0C5jfy7F2 +bo3z9nS2TOjEj3O5nDf9NlQY9WEnQX2/vvOkPmDU9/ujUOr7/AJ6Z5bfw1gm +52C0A4x2GDfq2/vK0Xlg3KiPccbNA+NGfYwzbh42PnS1yGvE2wDmdyTZXwW7 +ppXfbLdM0Lk+KfLb6gH6nrGNx0qRPFeY48qtHbSe7Af6jqSNh6oX+W3tCfpe +MuiZ7eFs9wI+7P5I0n7Q/WbtitH9z/uX96O9l7Va9hHOhXHnRvA50Av4nKXf +YqKfZdIO+Whn5SB+12Mc6cdjCB4k7bBf0M7jZ6rIO+yP0lDe+fq5Io/sPl4o +5ynIB9A/5AP4JNbHl1eRfqW/U+brV5N+pb9DZs9JaeF7oC97DtLfa7H3HTQO +1sZBQ9/RuFfgweI5R2DgAfV8mk/4KyL5rTD4gNXjNM4OeAUftPJ4hMhf1otQ +bsc1gvSKQTIO0AXqWz66MEZvmEp6wFf0XdVvwGdRHzDPi+MaUB98l/UMzB/7 +w+onqleAHwPP9t6qnv9wnvfjrhS+4L9bKed1lINPoBzncZSDb6Ac522UWztv +ZcRPZu3QlXSeSMj4cd5EO/BHtIO8AL+D3cP+bq/qO4DBP/m9FcgPfB/nW3wf ++x3fh/zB/gfM95z4HhK+z++52HsVep7G98FPLN6UvwDme034Hr8PY+Wkntfx +PfAnfM/Go6YFRv/8voyNe9bzv6XDeunfnpvrBLZ6nep/4HvWH94o34N9wdJ1 +Rr4HOW39FRmKJ8jK98BH8T3MG/2D36J/e25spHMjfv9Kf4cWMNK4er5/6Gka +Fw2+w3qkpevVQqfgy4At/1hN+ldUrwMMPGA9MU8bj9wU0YewHrZcYfs7Nf1E +DsDOBb7u+eBc4cuwk4LPgr8DT5ZfLxcY/NTut9VE/+XENxFfXin8dkKoH4Bf +gT8AX5ZfwM5VRfY1/T1V7G+sk93vWNdq4VfQL8AvsF/BH+z+Vbss+I31i6Rl +P1o7WB3pmXXCP7BP7f3PBqEHu9/qxS4L/mDveWVk/1i7WSPpsY2y3609dLnA +WF/Yz32K/aOwvR+cIH6TJH6QorgOPVdg/a29UWF7j4/9m9FzEGDrx0zKd+2+ +1vf5LR9Okb0yReedGoqrSQve0a897+g5y8pJllPsd2O5Uk9yp47kAvvNlI+D +76Icei7KkQ95b/OrqF019avyH/LT8nedF+QfyrFPUA49CeXYByiHnmTxpvLG +vl/H/jrovXOEX4I/+nSq6Mngn+CXvp9c4ZPgp8wXIY/Ah/134d8YK/40yCHU +wzh8Oc5rOaG+O5H08NkyLszHl0Pfnkv2jYWkry+S/ezHt5ju8RbJurOfDHwb +685+MPBlrDv7uaz/uS7ix7L3ZRsifirrT26M+KGsPrKIzss4h/Uk++cYmve4 +SJwr/CugKxvfo/4UlHOcJfwnKOc4RfhLUG7tLeofQbnlP+oPseMrJX4S9X9g +PVHu6U31fXtOj/o3rByN+jPsekb9F1hPe55QfwXWE+XwT/j1U3+DX8cmqQd9 +0Ofn0XrnSTnHI1m/4UqxS3u8sN06Lfiz7xNUyfkQ+wZ4AD7t7z2l6D3easEL +vmN/5yhNcaxpwlMd3VuoI3t4nch9v+9nCcz2X+ALMNt7WY8AH8H4sU6QT4BZ +j7Z+13KB+Xc5rR6QIH0hQfs2SfK/muS/6of2XJkif4HCqGf3b5r8ARz/qXFT +kOPW/l9P8aD6fgfwZu3/GYofVj8F24GtnpWK6CNWT0pH7Lz8O9Vs17V+juWy +b6wdHfKwQPYdYOw70A3kNOQx5CTkMexdkJMWzpX6kM/s/+P6oHfUx35AfcCw +d6I+zk8o53dMUR/7xcap5JE9Lk/2AfYH7MnQm/ndZPAh4M+PV8/Dvhz+mRVk +b0zQuTYhdMV6vfXD8e/iJiP7hPcB07m154+QdfbrMVjWGbBd55mybtafM5f8 +Uvr7PFgHT4fzZB0A8++hYx8hhb3anhM1hR5vz4FpkotpOuepngM93p7jVM+B +Hu/HkxU+jxR6vLV/DiZ515fgQaLvoD7Ga9+7SEfkl33foi4ir+x9v6h8svav +RtL/ca5cKv1ZO5PSJ9OJtXeMiLzjB5jLmY54f6PcxpXNjNARYCsfETeo+xn7 +2+oTRbJvsS6AsW7gD/weo72/r/LP2k2iv8PF+9j6AWtIf+X7D7Vk14j+bpe1 +W/D9B7ZLZGS/xelV2Id8fypOr8K+5PtIcXoV9inf74nTq7BvrZ2+SPYb1tGv +X7+IXgOY7YSs17Bdg/UYu55RvcWuZ22EP9v1jOoldj2jeoiNW9D3kqyfT+1s +Nn44Jfsf9GXPA2nhI6AvGw+sfARy1Kdj5HeZAdt4lRwqV9ivVz6VF9HvS+t7 +fOBP0Gug99h9uVpS5Pt+Kmmdk4S3JK1zivCWonWuJbylaZ3rCW91tM4Z4bNI +kQ+5Afq26SDBi8Vjk8gtpMi3+B1E7aYSvnMFhjy3v4O+7L/WD9PNv0snVk5p +inzwBd+up6TI9+NZKXLA2pVWCr/3sN6bQT7s7Hi/xc9/guDF2rfGSWrz5wje +rPycLamVo4sEr/ad/4WS2nx9V8z6b9T/a/P13S+kyMd+OSDUV/y4qkI5q+8x ++foalw17ho3LTEvctbVnqJ0KcdWwZ2C/gF8hbhr2DPt7F430LkdW/BqwM8FP +AbsS/A6wI8GPALsR/AKwE8HOD7uQ3Qf6ji7kjT0H6z0hvhfE94D43g/fn7Ln +rRIZh5V7+n6bb4e4GNivSiS18c0VQudIbb76i6zfCPSg/iDrF4J8VX+P9ftA +vtbKOli/DuSr+mus3wbyVf0xSJEPOrX7Wu/pgA4B8z0aq1/re9rWbhe912Lj +ebUe1tN18z9+99Ln6+9cWvsZ4jnVD+v709+tQH/gr7Y//V1UX290WH6fwL7e +ywJ7ehso9098/Slyn8TDueLfKnMFS6S+72+swJ6PjJf2Ps0R2PczR/qDHR6w +H9cimS/2A8brv/OFpHaeOWRfAN5nSmrHnS/4w/j8+BdIavGgcbwWH4WSIh/r +52FNke/pKvpumI2L53fC+B0wfueL3/Hid7oyEXr1fL2Svsvvj/H7Ymn6Lr8P +liG+kw2/k6X9o34S+KvBb3A+wb7me0JWb4a8UX5j9WbIG73nY/Xm6D0eqzdH +7+kgnh/2c+vHKKN3szS1clbnhdTKWZ0XUitndV5IrZzVeSG1cjYr80KKfOgH +9pySonNJms4hdXTuyMg51trPNF5k3fG3HF/L8bMcH5uRfvg8ADoDXUO/QYp8 +fJfPC6BD7APoP0iRj3HyeQJ0in0D/Qgp8jEvPm+AjrHPoD8hRb7Fs6agc+xL +6FdIkQ99y57f9fwF/gS+hdTyLT2Hg3/Z9w31fAY9DXwNqfUL6nkNehz4HlLk +27hl1fPAF5EiH/gGXUEPBN9Einz7XkJG9ETwVaTIb2P+9PfUAUMOWbmcT/df +80gu630VyBnUQxysPUfpO1G+eLCcl5AiH+cYtu/5fTIv8jtk1v+1TNbd96dx +aqAre28K41sl5yzAvv85Atv4glVkv6+kfqoEtnbnVSQvVpEdbJXsE8DYB//p +OO14Vv3p4/bjGCEw7LH2ewsE9vRX+G+3A2zj2FbJ+cmOO0njrhHYvj+1iu4L +rSI/2qo//bvY2X4/9iS7RF85b1t7SRWdK6sFtudo/b0twNBTAEMvsfaZNbL/ +rd2kicbVU/JRz+9ztpesEhgp6lm+XyF83p4fk3Re5PMhnwfr6fyXkXOe337w +p+v9D8BIUQ/0C/7m5z1IYMsPRwh92/j8qQIjtftggfBH31+uwEhRD/sD/BN2 +H8BI7T7Sey84B/p6/LsIeId6GJ2T+B2Fr0QO4V1MW0/fUcD4IZd8/nw6x3F8 +VIHIKV9P3xXld+Gh50MP43fgoedDz+J336HnQ4/id96h50NP4nfdoedDD+J3 +3KHnw95k7StNgjecQy3+Zsq8PfoXRO5Bgb4gd61/boLQE+QwUqwP2w35nX7Q +A8aH9cb4sJ4YH9bLnmOV7pAiH/3iO+gX30G/+A76xXfAH/066fsvyEeKfNRD +vrVbVUqKfN9unOwP4BX5Hv9j6V3ecVIP7ZCPemjn09myn7AuyPf95JC9YbbU +Qzvk232o96Ox/+w+Wyh2E0t3C6We3bcLad9qfCP2K/QV5Pt2RaRnaj27z4vI +7sH+WY0Hs/f6Vgg/Qz7qWb6n9dAO5xP2F/HvJft+NI7Xw5UROzrO7b68TPRZ +nGvQD/qFXQP8ASnyIQ9xDoLchd4AuWvltsodP95pYo9jOeO/N0/scyxXfH6B +2OugJ+A8Z/WMBOkZSdIzUtS+VmCcnwBb/3SZ4NXPC/t4Fb0TsyqcX7XA1v6x +SuwagGHHAAy7BeADSI+x/Sao3yT1m6J+awXGuRCwtaupXjKB9A7Lf6cJX8Q6 +Wr6Ie6F8H+dT4lf6LrjtJ0/6wb6EvIW9A/IV9gvIU9gjID9hX4C8hL0A8hH0 +jv2HfYl9hv2DfQb8WD24kvTgJNFniugzTfRZR/SZIT1tsuhhkKMej4UUhzKM +3skYHpaPlPXz7WaF+2pGOH6Vp74d7Ml4RzxP1tfajwuDdq6dvpPI8hb5vn/E +i8J+rH4I8E3r51xJ67BKYMuPk7Rf9HwEGPXtvYyVZCdbJTDq23saK8lvuEpg +1Lf3NlbK+tp9XCf17T2OlfSeyyqBrVzJSn1rl1hFfkfwpUriH0niHyniH2ni +H/XEPzL0Lv0Uop9coRfwb6w76MD3C/tzGa1HgtYzQfhPUv0k4TtF9VOE31qq +r+sLeWDrKwz5YOtnaLxNRL9Z0cd63bTeQ4fljxX9aYvTP9vwkM31Pvllyxdc +OLWD3h9fctRD+YOHFYXfLQ6+eXyzNU0nrQj+8e1Tj3w3dWAw6bLtRnQp/iQ4 +d6/Nluw1ZEpwz9+K0hcdPS24c99ho/Z9ODdYO3nLryaf0sxXxy76aeyHS4J2 +B+66weAjCoLf93tk309ubD5/3j3ioKbZzfxsvYJ7nqldHZw9vv+dxzyvKfKP +/f3ds2e0TQRXtxt93i0nJ4LMuT+XvdQrGczfP7Eq2UVT5D/Z/fS7Ry5JBVee +c2i3TQdoivxt3nxlvaW71Ab13Xr81j6dlhT5gyYuf/OHm+qDJ9+Y9nrnjpoi +/+iyvQ7cY0Qm2GbCRvs/+IimyJ/b5vZJp36XDQaWXDT+g5xs8Nn4ks1O6tLM +PzZ775Xy/IEC33PI2yu3/3KKwL8fePcxezyeG3wawudOfvPJkQOXCDy/Xdnf +B3ZdJvbKWz8f3tj10lVSvt2kNl8c+cJq0YtQjhT6E84DyPfrXSUwzpOA/frX +COzprE5g74dvENjTfaPA9Vsev3JsWfM410ttfsTmQ4PaEN672/cjOhWOFLjL +Z1N3Pvmi6UFdCF942H73J1bOlPLszesvH3X+fIEHzDjrqx6/LhD4w8e277Pv +pAKBvxt6zAYbvFEo361v5bu19N26//C7gLe4Im/t2u7lAt/8XOae8rMrgnQI +73LxyG0+eToh5TNvnZG3fWNCvj/s/h8GzVuQlPLLXt70uuOPrRb4pPdPPSaz +XY3Ur/2yc9O1T9VI+aKvXpq3zbW1Aj+w7INnnplfK/joWlV01TGf1Qu88U/J +7Qdv2yBw08Z7ZK7KZmS8H+552OC8qxulvzTNqy5mHl1o3Bhnfcy4MI5a+q7f +703hfm8KynuVzn7u728HvZ+7a9aL170WfFP7UDN/KQsuG/Z5M38pk/bbbf/u +4uGHjJfxLN39nlG3TZ6tdDHyrZ9+Wr1Q6h8+8Np9z1pvaXCA41vN/H5Vzdqr +Fq+QFPnot5b6raN+66lfwUOYLnHrVCnw3926VAn8jVsHxd8Lf7nlySePSweZ +EN7D0VGdfOdzRzcNQUMI/9XRSTYo6HF31REbvhD5/hF/ffD4pk+agtlzPht7 +53nLJf/yuuyZfd5cITD0Aezvqot7nllQoXZk6JMof/TIZ+5c2U7X4Tk37iaB +PT9rivAr5KPejt/MO+iC/Yul3OptOg6UW/tumzab7r/+WS3lSMEnPzqpsFnO +LA86PfZhs9zRFPmpRf+cvP2WFcEzW84aO29YeXDOxqfO3mjQxGDf5Q8OX77D +hKD723MOffufc4LStTfs9WuHOcHEg+p6HLTb4uCAPs/d1ufSRcF6q3uVX/vR +0mDS611WbtNJU+Qf6+RGZbCdkyOaIn++kydVwSAnT6qCD0/26eL+Pt/LxVQo +J1NBx64+7Zrj8/0+SYf7Jh3k9Kp06Xc1Pv9RJxfrgsudnKwLLh5xiEufaXuG +y9/WycVMkHFysiFILbnPpTt1fNXle7mYDeVkNnjou6kuHdal2OV7+dJX1sWf +I5YL7IvLIuv/r7ZrwULNz58HFzZjpVflMEmRf/PMoze+4O8zgxOfeufb206Y +ISnyP7/kqr+Vv7AgqCls+utZs+ZLivzHvjnlguMvLwx2OnLzszLfFEiK/Ocd +nhJBF4e3RLCLw0t1UOPwlAyGOjzUhHipCU58ZO/mda0NNt21ZZ1rg4VuHeuD +D9y61gc3uHVrDDq4dWwUeoXcBww5DhhyHPABoRwHDDkOGHIcMOQ44O6hHO8e +nkt5/yAferIdZ1Jg6MF23GmB3wj1XDvuDI07G/k+8p9z+7IkSLt9WhpsvvOL +zfuqIhh6+aXN+0xT5Hu6rQrpOCEp8v16VYfrpSnyT3LrVxNs5tZPU+QvcutZ +G/Rz66kp8q9x69sQHOrWV1Pkf+32ZWMw0+1TTZE/7+k7tngvd1TQMuol942U +FPkjHN3OClKOjmdKivwN7x+aM29gXrBsvym/blC+QFLke75XGPJBTZGf0yxs +8x4tDm6Y06HPkztrinxPpiXBt+68oL8r9OEm7+5xWseq0C9VHXRoXznylkf0 +d2dmXXzIab1z9HdaLnngvqUj29YFZzr6agiS70+9ZWkX/X2Ch6Zv+OMP/fX3 +SfoPCQYdvWWpnPsv23H3qwY18+/ZHcs/nX/vyPA8OELsFLv26nNs9pfPg0f3 +uva+DWfNFLsH7BRLeswvfrWZP8wc9fTUd1ILxA4CO8WrFX3yZj+7IOj18SU9 +d3i+UOwisFMcsfDFo6+6HO9GVQQ75/bb4YTF+vtR09cU5j7xEe5nVAXf7DHm +geQu6s957rRfNtm0a7X4b3a69YwP2o+okX07rPer7Tt/h/smDcFJXxZPf6CZ +fu4I923+0r07f9BMLx1u3K1ZTykLFn6UatZbSiVF/vjOLfujeZ12b9kfpcHJ +jo6rgi0cXWuK/KfdfqgKPnb7oSpY4ui6Oujv6FxT5G/v2lcHR7n21cFNjs7T +weGO7jVF/meufU0w17WvCb51dF8XzHL7QFPkj7+hpX1dsGpOS/u64DnHjxuC +Sx0/1hT55zzX0r4h6FbX0r4h2NHt+2xQ7fhAo6TIv9q1bwwede31Hvwst36K +N+AR9PVdp0nVm/YcLfQ029HRLKGfk95YcOMVG2jc6Yj66sHX7ay/i7bYnb/V +XnXi1h1O6Hkj7BVVwfOOPqqCXRxd6D1ClOe4/aTvJ+zs6jXzMUc3+n4Cyi91 ++03fU/D0VRN0cnSl8Vgor3H7Ud9X8PRXFyx0dKfxVyh/2O1XfW9hkavXENz4 +4+3J6Uv0HiLKN09e2HuPtL6/4Os1hvtE461Q7vlLNrRT4N1Wjfv2/KEi7Jfv +byfC/sGn9L72ayG/WuO+Wx0c5vhWTcjHNG69p1uPmmCmwzvfx64N929t0Nnh +uSEY4/I1rn2ww3d9UO3w2hiJcz/R4VfvX3dx/SSD4a5d9L1Dvz6pcF04Pi8d +rkc6WOzWIfreocdTXYiX6HuHHk+ZcD04fi4b4ikbPOvwov6f6528KA9mOXlR +Luv04PVfPNHQDC90dK/3Df1+T4T7XdfNjzsRziMR4ikR7vdkqJfpvTU/j2Q4 +L42n83paKtjZ7XfEiTbzHTevmnCees/tQcf/aoMhjv/pOnt+XRvKNb335vW8 ++lDv03tunh7qQ7mn8XRev8+E+oLeexvi1jkTykW9Fwe8AY/AG/AIPAFvwBPw +BrwAT8AL8AQ8AC/AA/CCefM9TeAB8+R7mpg35sX3NDFPq9+OITiH9M58Ki8i +fbFY9AUvj0tF/nZ041X568en8tfzx7TIX7+/ND7C6yMqfzd1+GsMGvq9dtI5 +nd+T88yCwgsea9d7QOSeG+rhvPv5TttOuafbSoEX3/BJ+eTfyoLu77dbNrJt +k+i/peE5ee+X92/e55oi3+JjEOFrKuEnl87HBaSXL/uv9QMY9sun3py421an +lAaPfrHtNTcuu03ykV6a/fSjv9Tqu7yv3Vryl87fVQYV95c1r5PGOzzd7ZzU +17OWSbtt33jjoZ3arhAYdgN8/7iS/T+8oX+plP/9qWN3/uu3WYHLCI9IkY96 +15zX7vs5I4qlHN/Z4Ko9vv6iYbLgyeNnQtA7v/3HD143KVgwfcxpd+yWK3jz +85gTbP3jlPcvvHRusGPnFb1/OWUJ/a7IouDK3hVVFQ/p/baRX/9al3vEsuDi +rdbf6YTF+u569/DcjHG1C8/N6z7PRetZe0xp8MPDJ3V87GG935U96ud5vX9c +FSx9u/aLslq97wU5C7kKOQs+Azn7TShX+T5Yh1DOQq7y/TDIWchVvi92SShn +Pwvl6hmhnAWfgZyFXIWcxTwwL8wT8wafhZ4BvYLvlz3i+LLqcdDr9gvxmjrh +5obcZv37pFCvg54HPjcg/foXu89TPdL6V3OCXTZu3HufF1WvhJ4JPnjje9ve +MebzvOCUHX977ajf8oJ91u7522aB3sfp4s5HqndCD73d2TVKg4OdnaNEUuRD +/4DeCT0Teuew8FzwcHhOgD4CvbNLqGdC7+wUngs2D88J0E+gd0LPhN65MDwX +9AvPCXeG+kp+qHdCz4TeeWOOPxd4e4rqL9A7oWdC7/Tn7IZgRi9/ToA+A70T +eib0zp7huaBzeE640n2vKjjefU9T5Ne7/quDPNe/psj/bcuW/mqCVUNb+tMU ++Vs4PaUuyDi9pVZS5A90+G8Iz2maIv8Ih+/GYFuHb02R//qpLef80uCsB1vO +/ZoiH3qmXxfcF02FeNf7LR6ver/F403vt/j9nQnnXRXiQVPk+3lXh3jQFPlb +uXmng6zDQ42kyN/vipZ5N6/71y140BT5/lzaEGzn8KAp8s8e2EJvjcH+J7XQ +m6bIh77l95Pez/F6l97P8fSWCs8TtUGToye9L+/1KL2f4/laRvDM93Og9wPv +WAfo+Z1CvR/rwPdroPdjXax+r3o/1onvx0Dvh17/XKjnAw/Aix+H3m8BXoAn +4AV4Al6AJ+AFeAJegCfoRyf2ufqojtu8L/JqfChnrb14jsCQo4DLQnkJPQL5 +4HfW/5kiuZgW+B8hPwIMfmP9EtnYcV43f++POr46SeZ12o5HH3TIbxOD3huU +l258WXQejz047r1D/zFX6mc+nF42eP+5wcthfZ7nrE1XJab1WSz1jzk82e6E +cxZL/8AD6r+w6Mm3DypRf9X0ymcn3jJhqdRnu7TF9/8eHsGXnbq4c6XoYacd +++k3P95YJXDR1Y3P7Tm8mvS7GoG//+SpYbd2qhM//Avz55/08vMNUr5H47aL +v1zcKLAd7whpt/e79/R5pvdo8rfPlPKS1WXbLK2bRfNfIP3ud896V9+yVb6U +w56I8mPXe7PwsV2L5Luo90Dw87t35n4i3/lxo72nHTb2C1kfjEO+e8ZZ5Ve1 +nyb1517aftJ1b8yU+hgX6t857uzjZ5w4T8axTc3F660Zv0DqY5yof83+E2YO +PbxA6refdmK70+4qlPrQn1A//7duHZ6rWS3133/36757HFAh9aFPov4/3Xol +VO9eM6v0yNKE0Dv0S6Fft55Jqf/NDm27X3FAtfQPfRP1d3frnZL6PU/o0ubx +u2qkf+ifqP+5o79awedO1/fvO3BCLc23XuoHjj7rpf+hPWsOmPt7vdSHfor6 +ix39ZqT/44ccPrHunEapb+M0yqXfT8rODa4o0DgP4BHlie2yR1x8RBXtL8XT +Q8cdN+f+R6tpv9XIODa99unL35+teANe0P6DpxfUfrVFHY1P593+s+0eq7pM +9zPmjfLpC67ZcpOPGoPlecsf/Hy/d096YHJhh1WXPBw8l160xdSCrsGrR321 +7OE9nwlO/rjbJtnap4N2i6tPffm8VwQvh+b2PGvMpPECX/fPW7o1tJkj6zj8 +hd7jn2i3SMp/eOWK3zdptzS4qudbh557amWwae/C8aXlq4I1g1dPu+ulKoGf +zD/wb32LqgXeZs3diQm7pwX+dIfJPUpvrhP4qBPW37jNyAaB8647/70DfmgU +uM2Yfd+et8lYwev5/xi//YNDcwQPr/+66tpNF+VLedPZv1+y6OEiKcf4jzr6 +hQlf31Up8NwrC87ZaWKVwJc/sWvpiW1SAtd+3PWuG85NB6+E8OO5I35/tm+d +4Gerhu/eGFraELwUwv23PuWARQdkxW/e1cntpmALp1/ofSikBU7ON8m6YJ2Q +j3ppdw7Se1I3XTnzuvxvFN6n96tfHXreqmC3Fz4/7ct+mo92sJ/weRb5lr7/ +9+Oe4Be17RIkN5LULkXjTNO+q6d9lqFxqj4BOV3n4muykXp3hef8js4/tTx4 +zvmv9B5Y22e/33qbOXo/DPXQDvloB7/ad51+3fazO4YGH6bPf/qpimGhXjM4 +WPjtnY3XrPhEYNRDO+SjHeTVFrPP3v2HJ6YHN+5y9yXVx8+QOP9HB/z2YtHR +0wRGPbRDPtpBni12/rz5ob8P8cXzg16JT1795ZR5AqMe2iEf7SDvtnB4Kgjp +Ve+hebpUGPXQDvloh3sXNzq4LKyv9506LSk7rN/gKZH7Tl0u63bzS4MmBjU/ +bVdZ8VAuvY80N/hu2tW/FP9zTnD4K8cdct+HS0L9a7Gknf721Bl37LY4GOD0 +/+g9IW/3rQztotH7RchHPeSXO/9iRbC1O39VhvEQlcGiMP8Nd46sCM5258oK +ikvVe0MdtygJTt1mbLBLr/M2u2QHvX90xWdjBkzbemyQ90nF86/01PtHqId2 +yEecK+wm3i42O7jJ2UdywrhXvX/0z+on3runOb/DzTu8sjKl949QD+1s/sLI +vaHhhx475ozC/GDAbdl3LrxU7x8FDw1KrN+c/8j3xy+/c3Otj3poh3zE4cJu +49evKLQvFYV+dr1/5P3wRaFfXuujHtohH3G91j6+Ihjg7ForQju53j+qcXEW +K4JnXdyF1kc9tEO+94/rPSPQOexgyAfd7xeeJ739PRvamfT+0Rznd9X7RzhX +4pyJdugHegL0BtjVQG+wo4E+YDeDHQ12MuAfdj3Y+SDHIAcXf9tu5oymaZF7 +sOBbHdx+nBfyvdwIHzrZ2QOj91zBV8Df+ZzI50A+5+Ec978tl/6suCTA0Ffm +3zbt5+DgYaLf3HXlkD5nrJ4u8OOn/Pj60W/Ol/q33b7VXcnSAtHDDqisyLnr +uHIaV7mUD3J6ncY5QZ9G+dFOz0uS30P1xAVO79M4KOjTKL/a6Z21Ug59GuVZ +p4fW0/jqpfwJp5dq3NTZoT696K+bTLqwmU//dMbzC15pzr/2tovPuy+nKvgx +hJtefr/snbYpgXuOquo+tUta4O2W/2W9yv51Ag/+6f43N0w3CHz8XtPbHdIx +KzD0NOhtrNdZ+8vq4IGRp291RnO7qe9/O7VH8/4FfN70The91ysp8Oqq5yun +LUkJfO8mS+5L7FIr8Abtd9lo4671Ar918U3vHjoiE9FrWC8B/wGfurck2WXE +IZ8H3cte6tX2jC+D1IvX7fVrh5nBzZvNO/Ttf84MNtu95219Ll0QLOnX0OOg +3fKCqS6+rDD4ZaeWOJDC4MBbWuJqioOyD1rk3XJJkQ+5BzkIvubt4nrfy/OB +ZcFdM1r4eFkw4aUWvl4m+wtye5Nw/TNbv77XudV6bnn66FWj7josKfB2V+13 +et8HU0rPT/xj+YQZem45ZtC420o3VXrKzf31p987Z4K1e89ou+tGI4IL7rvl +5Ef2Hhl8Mv/gXUbnzwgKnZycGfTNtMixBcGBz7TItQVBDyd3CoOxTg41881N +W+REMx6KWuRGcfDquz36Pda8/7pe1C7RO1EZvBbCX9/XvceXhyaDPiH87LsT +N1rWIyXlO0xr896P09LS/rPKcw/dc+N6KT9xozennfa3jLRffEjZRbe+lxV6 +WN77suJRbZW+bvtywO3LuySDB0P4p6Xpn3/qr/T18o8dX90rnRZ49z0f3fv0 +jkpfn582e/Rtj2RkXpinjwMqC353cUFlIlf/W35snL/WHc/cpg3u2z/v6Bn2 ++qrQjqzvEXq7sb4/6O3E+t6gtwvXyf1FbwduCPXVxlDONoo/GH7t9EddLvpw +9crg9+O3/WBsMx1t2mNomx9LyoQPv/TlA8tTd68OpndNHzauXM8l8Gs/ctEN +3Ze+USL1EeePuH/E+SPuH/MGX0G/n22wtmftb1npp86ddzXOHHjc8IGl005Z +tSyYEbZbftoHez38VrHAl2y06Nzevy+Xft57f4+//X2/FVK+Z3Hd/p0nrpBy +9tujHtqhHtoBT8DbyJ+PnPBAmxKRU1vfWXHU82VNMq/F+Q+fu1Xfpsi8ACOO +H99HPtpxHD76LfrxvG1u/epeqb9wi0Uf3/X4yzJ+4AnlvUcPfKN99+URvGHc +lYfsVDbynJWRewQoxzzRH9Yd/U2tGtnj83GlUh7s/fg5H5xbJuPEuJECT4jL +R5w+4vIRp4+4fMTpYx74Du4ZYNz4ruAxjMNg/IJOkI97FCjHPkA57kVg/Gt7 +tz991oEah4C4hN6FLw0adlJJ8NDLJ17Y++0SqYd2yEc9xEEjLtrr1fqeqY/r +0/dJfXyYvg/o4/L0PcAbnJ1H3xv1cXD63p+P79L3/fAdfBdxwPCjI04XfoPD +nX1B31NFinzwLYwXKeaBuGLEFyCOFnE94HP2/cNqmTfikBGXjLhb2IPAF+37 +iDWCJ8QtIz4BcbqIGwIfBf6QAq+Ic0b8AuJ6oQeD79r3FRtkHRAXjThpxAEj +Lhh8Gnwb64R1Qxw14h8QN4w4JrzPOMzFCZSF66LvNuJ9xkdcP1XhOUzfbcT7 +jB6P1aH/T99t9PgAntIhXvTdRrzP6PFQF66vvtuI9xl9PAjoUd9txPuMHs/Z +cH303UbMA/PCPJFv5ajGjYF+JQ44jN/w89f3Gf189X1G7+/U9x/9fPR9Rk9/ +/D6j4hV4Rj7i1kDviAv2erfiH3jHOiAfcW6gd8QJ++np+mBdsE7IR1wc6B1x +w4jXwDph3bCOyEccHegdccSI38A6Yl2xzshH3B3i8BBXjHgOrDPWHXSAfMTp +gd4RZ4z4Dk8P+v6m5ye6vh6fur4eP/r+pp+vrq8ff/T9TdAN4nonhP5SHxef +DOPkNUU+vgs6Q9wv/Ks+bjYVxtFqinyME3SJuGD4Y3u5+JZ0eL9JU+RjXqDj +TcO4YcTl+Lja+jDOtk5S5AMPoHvEFcPf6+/dZMK4W02R3yGMM+b3N7FuiDNG +3DHsHh5P+r4m1hVxw4gjBn6xzogTRtww8Id1R1ww4oSBH9AB4oARF4z5gy4Q +94s4YNyzx7173JvHPXrci8c9edw7xz106AkPzA0KHtp2YLCj809Wih529doN +nth5vYTUG+L8kVVSntnnwq07nZcUvexE539MSfkTZ77z8Y1vpqR9ntMz01K+ +udPL0sFXYfn1zl9bJ3pRv9cOzh3Wrl7af+v8sxnxOx0+9t4rF3fPSPvnnD82 +K/3nr5hS/83EbDAzLP8qZ8Sl2y17R/rHvNH/pZvc8Whl5ykCf7PjVb16Xpgr +8zt+6BNLdrhviZSfsWfnVy49f5nAiFOFngY9Fe0Rp8rxq4hrtee8EdLveg+c +ccRFh42m89xMKc9fmHvTCVNnkZ1sgZTvdEPD8PyKPCk/L/Q3oHzkj5v83GF9 +jR9Avf7PXtKl8OlPZfwYB9phHBLfcet9nV59aVpkXIAxLtR/fO516SvvmCfr +h3GiPsaJ+pV/Oe29f55VEBm3PS+qnW6fZdNv23xyhZSLXQ7zc/RVJd+Hnxvl +Rzv6qpb2YpcLy3MdfdUIfsQuF5Zf7vZPHY1P7XR1bv80SHvY5VDu90+jlO+T +O+iJ21/qEXz/zjmvrlnzfHBa5tehnTq9KP5M1Nt12YXf/nzzWPnuFY/n52y9 +IkfgQVutaTvol3zd/xf3PnS314sifuJH3b17vXfOfuO27h6+vj/AfuSP3L38 +lN4nD/3K9jyalncCHgv9zCif5t4J0Hvr8Dtjf/v3DvT9gY9CPzT4Q23o58T3 +EV8N/AJPwJtH4xwpZ7whXgrljEdv118q5cAryvGd7Nv7LHx0/0rJ7znljus/ +6lYl5dtXjFkze7zS3RBnr1A6O+HgM3fc8hylq7wLXhtyxBsNQsc33rvihMtL +GoNn3P3tpuBad3+7KXjUybEmiU8HHYGuQEegK7RDP2iHfrZx7ymsDI4b3vKe +wsrAbZ/fVwSdnH1S81EP9/EvDk6tDZrzUQ/tcI8e9+phZwA9II6Pz9fg68jH +Owa4d4172Lh3jXvYuHeNe9i4d4172Lh3jXvYuHeNe9jAP/gM+DnizrAe4DMc +h4b24DMcl4b1Bp/hODW0B59BHAji1tAefAbtEceGcvAZjmvrvMmPGxX+qvY4 +vCPD8SVFp88tmd63PDje0WVC+u3n4nw0rmiho9Ok4MXH+Whc0fWOblVfmOXi +fDTe6mu3b2qlvLOTp2mZ97NuH6m+UOXimOqlfFu3rzIyvgdcHFNG+oddEO03 +d3FM+k6P9VOpnuT5lsoV6OfAz5aObyVJPqueNNDxLZUrpaF+jfZHOr6scuX2 +UH9Ge8+XVa5AP0b7yxxfVrkCfRh6EfQkvufSfdLJFxx/+fLggG5tz8p8s0xS +yXd4WBb6b5YFJQM+XdL/9qHBq522G3DyRZ9JinzYgx8ZMPmaYy9szv/rJTed +vmZasP79uz/a44np4heFn9S/DzUvOOeCIze+4O/zxS8KP6nXcwuCc53eq35R ++En9eJvP6268q4NxP83o9PN1k4LSQ1+67NCGyZJKfvj99CPjv2+5lzN0+Jv9 +Wu7hQG54++DcYJKzD+ZKinyM7yQXP5Eb+u31fVn//tXi4Df3/tUSSZGP8Xt/ +75Kg1sVv6PuzeB92hBsXfk92ZvidWaF+syDInd/+uPsewe/XFAa7OLtEYchv +o7+fgnz03+umsz5dMGZ4sDb0c7WcClv8Xvgu6uH7l7l4kxlBr9APNjP0i2Fc +qHdXOL5vXPzJfPGTbRL6zTBuzKMkHL+PGygMttzZ+9GGh341zAvz/MS9N1IZ +vjei9756ufOjpshHPbTz9gp97xb38u3vG1VIvQmJ7zsmrhwfvD7qsF1G54+V +eO1ZHfcvuvmq8ZIiH/XQDnEqiFt5dtupzXQ4Kth6+9ea6XJ0MHz4yvnbnfml +vE+5/wYDE+sXzg5ev/Ok5Xduru/e+riQ2ZIiH/XQDnEriGPZ3OF9VlDg1iEn +jAvS3/Pp5uziC4MSZyfXd3B9vYWSyu/XhvXQDnEsiGu59IvBzXSeF+zWYZtm +us8P8nbcr2mLnfR3gkrf/K5Z7i8N3jg7p1kP0Hdx/fprinypF7ZDXAviXApc +XFFhcJR7z6AomO3scfp7Qr+XtbyzsyIY797d0Xdyc1w9TZEv9cJ2iHNB3It/ +X6o4fF+qOIzL0N8nAh8SvhTaI7x9cXVoh8LvsGXD932a6dOd2zVFPujY37Oq +DN/RWxaUuneolkoq+SHe/L5ZGto/ykL7R1lwqYtn0d/becHpTVXBZU6P0hT5 +3q6kv7/j30lJhe8kVEuKfG8nhN2wOrwPlg71ME2R7+1G+jt4/j5YXXgfTFPk +ezsR7IJ1ob2kIbSXaIp8j2/9/R5/Hywb6nmaIt/fR8b9+2ywi7v/Vh6+91Mh +KfJ9HKT+LhzsSrAz+XtqiVC/1BT53t6HdxoS4Xiqw/Foinzfv/6OnL+nVhOs +cfY8TZH/oNPj9fcD/D212uBZt76aIn8zZ+eqDe13teH7OPWh3atBUuR/4Oxe ++vtzD7j1bQztYJoi378L0Bje72kMdnX9JYO0669KUuR7u6S+d4/Uxz8kg+Gu +/1R431BT5Hv60t8d6hum3m6eCukqHdKZpsj39IbfUdLU283T4TtcdSHdaYp8 +T3/6u0MTwtSve31wvVvfTNDera+myPf3JnFvNSNpytFBRvgI+Ip/hygbvkuk +KfL9/cZsSB+aIt/fh42+z+3t7NngUsf3yoM1jg+WB9c7vVB/5wipv99aLu82 +4B0Hj9dE0NaNKxHyNf29I6Qe79gvyXC/wD6uv1c5Lkz9/JPhfqkJ90tNuF/0 +9yzPClOPV9jBa8N3lmrDeervHZWEqccL9kt9uF/qQ7uw/t4RUv8OSn2wg6Pj +xiDh6DoT9HN02xisdXSckfQ6R+cZwR/wCjwD78Ar6gFfwCPwCjwDj/Z3RhSP +wCvwDDwCr8Ab8Ai8As/AI/AKvAGPwCvwDDwCr8AX8Ai8As/AI+oBX8Aj8Ao8 +A4+oh3sjK8J7JNCzTnZx1WOCj49bkb7o6HHBDsduuGSvIWMkRT70JK+n54R6 +zeygi9NzciRFPvScju78kh90de/MLQw+DPKbzzn5kiIfeorXz4uCy906FwXf +uXXXFPnQM/x5rDh4yMmjFcGOTh4VS4p87yeqDP1GlXJvA/Ev0EOhlwIvwBP0 +RuiRwAPwAj0Peh/mDTxAL4Oehnli3tCjoFdhXpjnILcO08J1mRLs4r43L7jE +fS83ONL1XxD0d3hVuz3s/DZecoLYBWD3t+f9OdIefgAbd7oo4hew5/mlcr7m +e2p8Dw33zGB3wD0ylOOeGMpxDwz3ulAPdkbMC/e65P5aaHeUeJHwXhfKYYdE +e9zrwndhl0R73OtCe9gpZxh7j9qhYLeUeJ3wXhfKYceEvQj9wC+BdvA7oB78 +CihnvwHsWrCP4F4hv8sL+wruEaIc7/Ki/Ovw3iDKh4bv8qIc9wTx7ive5cX3 +cS+Q3+VFOe4B8ru8KMe9P9jB8S4v3rnFu7c4L4AuX91/6ZyWd2X/viqvqKUd +7FYo3/ucPa5oeWf25rAcdiuUf9ntlrqWd2fRHnYrlJ/+xsjHWt6hRTnej0L5 +8vE/bNnyLi3KYbcSf1LJqQNb3qlFed/QboXyn3576ciWd2u7huWIKwPeYWeG +3dmf5/T3dmDngD0DdgzYK2CngN0CdgjYJUBPiFsE3eLeaoetd8juV7IquP/O +O4ae1jlB9r+ElG/cZ8yJt36g9kH4nQ8Ly98b+8vC3knFO/zOKG+/8owbvmxf +S/a/tJRPX/vq10sfUPsg3tXE9y/ad8WzP07PEL/LiF0Pdj7Y7WDHO+bafZzd +bsjVFzo7npdb80M5Ni/o4uivIPja0V+BnHNx7sU7i3i/BO8qevkyS95R9N/L +k3cT8R7JcOfHL5b7Z3jX0dcvlncUERft30XQ38/w53OdX0347gruXeFc29bp +H1XhOFNBf6df4PdU08Hh7rygvx/r/fWI22oI7UUZOTd6fSkr50Iff14uv/Pm +9Sz9/XWvR+nvr5/g9CT9/XWvB+nvr1/v5DjiShqDr905p1HkPOS+v7+iv/dU +6+wYq4PnnV2jTFLkP+zut+jv+fj3U5cHbZ1dTlPke/uZ/u4GUuS3nMa6vjsk +aDmN5YweLinyO27x9nafHvx5SA/DJEV+NnPv8OU7TA8ey54xe6PmfYsU+f7+ +1cxwvNMlRf4sZ6ecH7zo7JaaIr+/s1/q720hRb6PoywI8VMoKfJ9fKP+PhdS +5Eu8J/lZ2a8KPyr4O/ymNeY99Toph18U9yjxzin89XjXFP54vGN6buhvx7ul +2FfYZ+Bv7NdhPw78NtAT2E8Dvwzqww+DcvhdOob8aY8pFXVVP1QKv/qy/ODH +NzktKfBpG9y3VfveKYELD5o68OKl6aB9CHe9YMOjHthD+d3391w49/1bMiIH +IBdg91rk7tWVyXhwDxvjxT1slOMeNsr5HjbeGcM7YOJvwvzpnQa8w4B6/M4C +v6OAd83+1d+RABz3OxKA8W4Fv1MBGO9S8DsUgMFX7Xsm+k57XD7kC/QbvFth +y8foffbwnQpbniPleJfC3mfLl3K8Q2HbF8m9MegTGJe8O073yPCOG8pxrwzl +8A+hHPfM0D/8Pyjndwowb3kPJny3wJbnSDneMXjZjE/fEcG7BrZ9Ucx7+1Ol +Ht6dseuXq3Fh4Tsz9j5FgbTHuzL2PRi9P4B3ZOBX7k1+Vnxni9Cvyn7Ul8lv +2pv8pC+TXxTlyOc4OI574zg3xLUh7uTaMI4NMOLW8B3EqeF+ylu7bHj5VoeN +CXyaI+tcfsDGz7x9er7AvrxI4Ml7Pd/QeVKxwLa/HGqfQ+1zqH2OtEc71C8N +6Qb1AdvvFVF/RVKOfN9vqehjgPE7phv85YWdVrXcAw9hlCP+GOWA/Xf1XU7U +R7wx6gNGfcCD+83ZZ9R9+o4n2uN3T9EeMNoDRnvAfp41AqM/xB+jP8DoDzD6 +A4z+AC/8+MwJ3/5aKzD6x++son/A6B8w+geM/gGjf8C+/waCS8U+hO8BxvcA +43uA8T3A+B5gfA/wmiG55x/3UiP1nxO8s8WMXX/cRvfHe20eXZ34brTQ6wff +Hf1x/srRQo8DaptuHj9ttLTj/fF238RxG+yt+8PX0/3xXq8Pf8msnyPf4Xa8 +XyoGJLv2Pkb3S2KXWWc8dVC+jIu/w+14P729/JvcTQ8sknnwuPg73A7w+t3f ++6x8ue67N6/ZMbX90brP2j19/UPHP6H7aOKnQza7Llf3xbkL1vR7Zmul69LG +EzoMvlLp8K7tnp2Z97HSyfrHLbykqb5JYMkPx7H9lFf2fKOj7vvmzC/HP6L7 +vBm5fy3J0X284KDbl/3WVvflNReMvnX/y3RfNd7z849nD9B90PPt01/ulm4S +mOeNfIzjwJMvrD3yQeUrk25659ErZijfOK9XxRaPb6p8oGz4wR8N7Kz7uPuS +e4+Y+4Huuw2+mzK7LtkkMOOZ5416GMfxM7ccu2yq8qm86svP/GlD5TvXbjZw +xZ4XKd/IHlZ3x1/f1X3+7CVHrr21sklgXlfGM88b7TCO809f/MSD6ymfW33b +ztv0O0/51N2v3DhoxpvKVzYcPezo6rImgZmOeF0Zzzxv9INxXJ/72jm7nK18 +cU39ipJOrysfe37rfe+6aVWTwEy3TEe8roxnnjf6xTjuOfdvzaSkfHNjR+dN +AvM+YbplOuJ1ZTzzvPEdjKPXwq3LrylqEj7K+5L3CdMt0xGvK+MZ398onDe+ +i3HA7sP8wP7ucELyYQez9VKkR6QFxn0KwLg/AXhC6A/l7/9Z3wUfhr6LFPkY +B9YFKfKhJ+IcgpT1R8SxIWV5NyHU15Gy/IK+jhT5wAvoBCnygSfQDVLkA2+g +I6TIBx5BV0iRb/HaICnygWfQHVLGP/Bm9dmpAgMvgIGHf7cdYOAJ6wq8AI/A +A/CGeQNPmCfwYum5IRzPiAg9YNz2PMD0kyP2IaYXS0dFEfpCPdiTmJ6Y3pAP +exPrO7A7IUU+8AX8AV+AgS/AwBdg4Iv3V9y6/KffgR2Z+Q3y7X7uK3ifEPoj +gUf4H4En+BtBN/DbgG7gpwHd4L4e6AZ+GMA5PTco63i+wl87eaLwjkff+fvz +++m+TOe/3awJ1wndwW8DeNk5y49Z+a7CGzh5oPBBEw/NO+h23cc/vXHb1fse +mpH9ivhkwDVbDenzVLXu5x2/vvKep3fX8hNPbHhrwRcKb3HlCePmP5gV/Np9 +oXTOdMt06c+F5SQHEiQHkiQHakgOqN6B+z+A8a6l6CVunFF9+f9qHPAXWjmm +eizozMrNNI2zjsbZQOOMyuM/67tWXo4QerB8sEjo44/SEfAIvmD5cV+SxxOk +Hfb70ppnmjUn/d6vbp/o984YPnLW9Gv1e1fte+jF5/XS7/06/6gvttlR8Xig +O3co3Kfx8eCY6xWvk9y5QOF9t8stvGqInhvOc3q74n3ssVvf/OQapbMyp1fr +Opx5zZXfDzpB16G703sVXvHUxy/O66nr0sbppQrf8Wn9bpl8pcu+7tym9GLt +BqW0fmp3Arxuu1kOyXM9P7Ndiu1QbGdiuxHbfdhOw3YstkuxXYntQGynac2O +An4IfMTZ4djuxnY1tpOxnYvtUoCPXvnuX9b7TuXvde7cFd0fbX5re2annS4Q +eFALOm5/Q2BvR/lY4J7P3Xt/8SFvyvq/0nwau62/2oemnbvF+n95QeVpou+A +A+/fVfWWUW8M/8eowyfKPnqt09LNOz+jdpmDj9j08z2uVvk75bLOp5z2ieox ++9y0R/8H8uYEvbtc9+wTk1WfSva6qv66X4cLvLxZqv40S7+7cbPU/WrEDIHH +PH/L4R9sP0/6veDRDwpuycwX2PId/K0h/BXF6KkjBJ7TYZ9j3+71OempMwX+ +uf/n7xx31syI3mjPKQsE/mvHwooFdy4gfbIoojeiPuQr4LMSj+4w8uzCyDh5 +XPxd7gf3NCzfVzmJ35GxclHpGe+sWLmo9Ix3UISfuQGrvIZctnqjnpegRwKG +HgkYeqTV67JUvyZyPgCM9oDRHjD64XPHHelfhn1dlBI9gc8bgO05qiZ2Xr+0 +bN89auW7fK557ItFG7y/t/4eD59nAMfh6dWOry0+8Zb6WDxsWbTTO1/drucm +Pke90uOj607tVk96T0PsOux92YobbxiZicXzR9/fcHDV6Ews3vZ6r8Vwq+c2 +Psf1P+HeielJ8es+9pF9vn32h2zsuh61+7ApG/+SjV2nMdOO6PnSb9lYPB9x +/ZRmDqn2Gz5Xjv79r9v22agpyF1b+VW7k5W+s85upfCKnDE7L3pJ6X09Z0dS +uO7FFkat9oHtH3rstZcPUXr++aLL83ffX+nvwJ9PuuqwuxXefMeD282+W+nl +xCfW7r9knMJ7lP705J3T9FxxQZuvmoeoMPjEYy1m866fCPzNKVOfXtlluMAF +LWbzn/Vcv8WcwUWv95gh8Ki2L1742b7zBL7ou4fGXF0+X+Bf3Tz03H+Bs1cW +/p99F7DYd5x8vVZgL18/Du75rUVhvEz4/QBnCP1Y9aqYdoC9/FM/pZd/UwQe +4+i4huhD+cYZA+54fuipagd+06W674sdfek+befs5Lpvbnd8TO2ok50dW/fR +nOCbC/5yRh3Rn/KNy28+qeJvr6rd9zOX6j6vdfSrdtkTnF08yl/3cfxC4bud +PTcVLN+oZUEbiL6VT9x26JYn/LBK7bxTXBrlt3F4xDiOdPxA99Uzzn6bDmrc +uV3txie5/RPlt3HrgP7i8Ihxnu7kueqtbzk/VOvr2No6oL84PGIeXYZc0P2y +t1RPHnLl2GYNr3U6aW2dW1snfC8Oz+BDt9611/y1lSp3ppb2uPaC0Wqf9HrQ +UoH7OHml+lO58z9o+UFu/ssi7VY6PCmMczX4dZ7zuyj/HjT2ovfLhleSHUvP +P9c6fV3tZF6fr4rY0/g7g51/q/Xvcj2MG/YuwMu77HZfdqzqo/efvPmKT+7R +8o27XnrH/MlLBL79kb9vuP2viyL9xNWz9ly1c692fqEkyeUqoiOFYacAHTU5 +P47Cc90+Ujjf+bkUhl0DdLa+87soXOzWV2FPFwqznW8nsuPVhHa8ODvgN2QH +ZDvfwWTH+zG048XZATckOyDb+U4iO17b0I4XZwfcieyAOEf8q/vG2gH6Kvzk +QSNSr94k8MxmrN+28+sCD2s5HnX8WOCbm7+aePQtopsJAvdqcdctV7tDTos6 +dpGW17QMOzFF4OEty3zbRNq3cwR+JeefB1/bR+0WhzaPdtsLtHzakpYDnvoh +9kq3KBpzIvP8o/P4o+OMG4c9z6UichLwmU4OKYz9wHIN8BVObigM+mc5BPh2 +x8e1HPQNeh8ayg3AD68p7zvgwAz5pbIRPg745QmjMmf2yNL5QuOienVrEUTs +l1G7hbdrfBKJ+wLs7YNTqVztFhz3hHMZxzHxuQowxynhHASY44xwTuH++VzG +cU58juI4JT7nxMVJ4ZwFmOOccA7icj4HcbwAfq8Q8O1Ofqsf+y0XB6Tlkxwd +KPyKowOF8bsUYmdwdlKFvR1VYW83VXils5smyO6QpPIktVfY21kVvtPZWRX2 ++yBF5Slqr7C3y6odZa2zO9cQ/mqpvJbaK3yAs1Mr/JqzUyuM33u05fXUXuEJ +zq6t8D7Orq0wfi/SlmeovcLnODu42oHGODs4/M9qX/f2cl2nca6elu/nvqOw +t78rjN/ztHShsKebJPVfRd/Xcvz+p6ULhT3dpKj/FH1fYfxeqKULhT3dpKn/ +NH1fYU93ak/2dKHr5Ommnvqvo+8rjN8jtXShsKebDPWfoe8rjN8zBezjqBT2 +/hKFvX9FYR/3FfV3eb6t685+Gx+vFu/Hed19R2Evh6toHBx/Fu/38XSpsKfr +aponx5PF+4k8XWo53v8FzH4kHx+m5exX8nSpMN4DBsx+Jx/vFe+H8nSpMN4H +Bsx+Kh+/Fe+38nSpMN4LBsx+rd+PbWkf7+fydJkl/DURfrOEfy1f7eav8NkO +P03BKjcvzb/bzUth+Iv8+g8W2PtHNO7I+0O03MexahyK92sMEf8FfvcI8IrF +P1ya/EzjlO6b3f6fI5/U8g1rH3hh6bwZAt/57ak1mzR9JXqSf/djnsBjnb1S +YR9vqvD5zi44X+C17tyifha/fzTuyZm99lDYx2cqfL6LV9Q4lv2cnlQQjHHj +UH+ETyuIThJERwla92qiC4U9/9J94/mbwl6Oqdz0ckxhL7eUn3q5pnR7hqMT +pcsSR0eNRB85RB85ET/Y9JPnzd3hH1peRX6xkf2bmk9wQ2Q9QB+A2W92/8T0 +pPe6ajn70W5vPuXu1Xa6rAfoQ+yQ5GfbwNFXvN/tl517P9z+eKUXjhdY4gjk +c9LvNX5grWs/M+J3g5+N/Wj2XKrn12J3nlb68XKC+TzzaaUHz2d1/T2fZD6n +69vN0Wc0HoX9bBhX/Zk9qrovifq/bNxUDcVN1QoMfxBg+Gc4fpv9esCDjd/S +cWBc/vyjdlmMBzDfY7B6RHUEz3HzfPzOafe/uYt+h/2AGIc/D6mdFvjgexMc +v81+S6xzHJ636rPRJpNuYr9hDZ3LcH5SfwvWAzDf47D6c22EzuLWeaCz97Gf +sZbOcbVBB3ce0/M46IHvjfB5jf22oPM4OjvS2THVLsZ+SYzj1ANe+WTsRWq3 +tfFa8X5i7Ks4up7j/GraL/sl8V18D/YutOc4I8QBoR63u7yZ+17dT+vH+fVA +r3F+PdBPnF8P6xnn1wN+4/x6mH+cX6/jx/krt91M53Vjs9TZ7tSmSPxvXL0r +HZ503z7t4uAVhl/c+kGUX8CPbf0UCsPPjHlPcqnCH4Z+XxvvrPCo0O+KeVe6 +VGEbNzomvE+kepmXw1pu48xyQj1N9S4vFycKDHse5NxkZ9fQePF93bpouY1L +LQr1tiUCe71Ny7d2fEn59vHuHorCrdn5W7PTtmZ3bc2Oyn48r+cpPbCf7Tp3 +T0Ttj+wHu8fd21CY/VTPuXsUCrOf6B1nZ8oSv8kP2I6YdhdIhguel5GdcNOC +hq2G9JkheG5tH3j5qfHQ27n7UjUk75S/f+r8OLUkf5TfHuvWuZ7kgcZPz3f+ +IeVvcXFjsB9bvpUivqYw7Md2nmnCg8KwH9t51xNetBz2Y4uHDOFJYdiPLf1n +CW/ReHX2y7W2j1rz2zEeP3brofqN99f9+3g+yn2vhsbz76/DXPe9OhrPv79O +V7jvNdB4/v11rHPfa6TxtL7OVr9VfdufXxU+0Pnd9F7Bz+78qjB+t1TOgY5P +a7mXn2WRewdxcZX2nNd6HCVgvrcQFzdp4y713oqvr/Kqj7Oj670Uf49A5Y+3 +I+i9E29HUHkDOej1oX6xctLHrXwg38XvqsfJSX9enCTj8GiaGysn/f28uTKu +ia7B4lg5OdXhYbHIHdj3rN9GYW+fiPdL7+vkmt4XgX0P8EDnh1HY3/+sjvVT +e79Mtcg12PcAj3Z+F9UH/f3NeL/1GU5u6n0V2PfsfUuFL3NyVO+jWPsd7kMq +fJuTqw2iD8I+B7inu6+o8CNHrdn308Oysn4cv/8cxU0Nf6tFEXtdYI6jenRc +CwG9KevL8f8cR+XtJ1peRXFV3n4yUfZ3nN3p/1qO///d7sV+uz/ql/ujfrc/ +6lf7o36zP+oXi/N7sX2I/WB/1M/1R/1Yf9RP9Uf9UH/Uz/RH/UhxfqL/jh7Q +uh9A5uX+Rokc9PH1s0TOeb6XR+c9tXv7co2rgR2M7VBsB2I7DNtFAHs5p+dv +Hy+g5+1RTs7o+Xqmi2dSe5G3U+r5GXYQ8HnWm2ycynLBi59nTzonjyP78Gzy +JyyMxBGg3N4rKwoWtpjjLvo8Ymfmemxnxnpg3LCrAV+wawGGnQkw7ERcH/hF +fcCoz+XAP8oZxnrYex7LJOW4RhvfrDDrQazHsB7CegTrCawHAK/PUhxOfYv6 +8+pwOefg+zin2HsPGp+CcwLPn+M0N3BxfktpX/UN4687CR16ff0Nga3foLjV +c1xr57LWzlmtnZtaOwd5vUz32xnOztn6uYXlTVw/rd0ja+2eWGv3wIDvfZ29 +WunS67d6b93bfRQ+0+m3yymeK0fit+x+1/MM1pnpwM/rmVi68Oe4Z2PthD6O +rJ+Mg+2C/p7p5Fg74J1On9bzDNv9xrrz0hLpj895Hq/jYs99/pyo/JXPgT6d +HXsuXOn4vvJjPif67y+MPTf67y9U/JOc9P2pv9vP/8vYfMCYH8tZ72/Wdxi8 +3XFWbD5gzPfYQbdeeemZKqfPdPtB32Xw71blxeYDZrkC+GwXl6nwPS5uszA2 +n/fLnS7uUveDf6cqPl/is//DuLvW4uxai5trLQ6utbi21uLUWos7s/pwfFxZ +a3FircV9tRbH1VpcVmtxVnFxU63FsbRm52jNbtGaHYLtCmw3YLsA9p3lBzmh +v3+U7CPsb8BnuX03S/YF9GprB8vT9eJ7pqFfHnppa3LGxnP/q3E6YyJxOnFx +OIA5DicuzgYwx9nExdFY+Vcl50XAfA/D96P+SZwX4+5deL+NvpeC82LcPQuP +5zTdi1C6edb5cdQeZc+HDSGf1fdOcB4EPHTHQet/drPug7g4LeB9Gb0T4f07 +Xwqe+d0Ir0fpuYHfkfD6QZ7EJbL/gfN3cHpdpaTIb00vai2OrLW4sNbivFqL +2wK98L0ef+9A6Yfv7fh7BkovfC/H3ytQ+njE3RtQf7a/F6DrP+Dxnmc1ztD1 +9vRXKuPx9Kv2Wl+u9lZPfzXSztpJdF+gnT2fKD8E3j3eRknK+spZDj+zJGX9 +w+tneZIi3/qbKmUd1h7bZ7MgT8+t9155/iWnXd6sDwwrKzq6g+6rx9v371/c +Q/nxa19ed/vDk5kfVwXb1197QufrFV/Tz3zvqhc/UXx1+3jpIzNqa4J7u+13 +5Y6D/4dcHbjfnqOG6HznTH+yz7jbdX5/P6zbNm88ofPBuDBOjAvjxLgwzr3D +cWGcueG4MM7u4bg4vgbjHP3l2LVb7ar7C3gDHoE34BHzsPPKkXlhHpgX+u19 ++t0FbZu/8/8B8Pmnhg== + "], {{ + {RGBColor[ + 0.10372206117797761`, 0.10436141743811188`, 0.10500994850363238`], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFUztIHFEUve5mZ3Vndjc7kZmRVKKClZ2FxiAxdSCYFMHCQns1oIIfhLAB +LbRL0gQ0hZCkU9ZUaqqQdIpkURsFi23dqESw0nM4Dyze3PvePe+c+3nTOjI+ +OJYys0GsNNY3fP7j4DnWcGC26Gu/E5r1Fs0OsZ8qmZXzZm8yZr9w9ikUtgN7 +D/Gv4BjF/jRr9h1+I84KmXtucpJ/FpgZLC9Q/MUDxV86LDHkmMG6ducnWcW+ +eNLnnUrO7EeD2V+TNnG8u428+pDfsS/N1ZzOeZ961GJ+p45/CHU9Af4I2I+J +2TL267DtsXTbYNfAsYT4Xkq6f3xp12PVfh4rTg5y5gtmQUH3bmEN/DuIHSC3 +3/C7kMcAelkO1Ye38Feg2wzMXKI+zsNmfdXF+poRf1yUdiNij2CzsK+xavBf +JdJm35jnDbB+QfVXU+JgH9gX1k/sWEna1OVMai5GDPOivwt/CxzvUO9mJP4N +2DL425B/P3BniC8A15nWbA7d+6m6N8UZMSfGq/CTSLNsiTTPINC9p0XNj/ox +YmvARJH02UveJR9rIucz5L4b6j7PKu68KVFNOdi9WPntw04AP11S7/gWyE9d +1rbl+Dtcv5k7Z/U51Lwa4Ncfqh8/Q83Pc7WzLta35OZPfxPa3cB9gO0p6l9i +X2qu112ubp4xh3+x5n3h3hs5mM9kSXUSexnrv7qCfZ/XP8n+kW/WcXru/+Ls +7gBxxIoP + "]], PolygonBox[CompressedData[" +1:eJwtkrtPFGEUxc+uuivMsIO7684YK1AqEqgoRIl/AcEgBVpYaI8JMSQ+QkKW +BApKtCERK3w0aISEQqxM7CA0YqOJhS0IRhM7fifX4s7c+93HOd89X8/d++NT +ZUmD2GnssJsPttEpbSdS45zUzqTrqbRZkvob0iznP8jv5NIM+fkuafIMtZwf +cFbh30c83ZRaLWm1ItWId+hNalKJ+vf0P8fWqH95KnoO8Xfz/7MhtU7vAVxK +WXCZA3+Z/Bv6l8B9WlBD/l8Wsxao2cffq0sD4D1KY4ZnPaxK7/DftsL/ju3C +5wLxC/iNcvnz+Cv0TjG7mcSMNlgPiNM07jgO5mv4/iQ/UUSPe33HHL8Xfq/I +f2P+ZfxLefg36E2asQPv4iz9x+S2wbsC5y9JYGxht8HbJ17ErpK7Rfy3HGe/ +GsHL/DqK2GWT/OckdmoMY1Vdy/xlaobAGGPvFfyLWWhqLd3jHXgX98B9XIT2 +XdSudsYbGKZ+kvo/5eB4jfgj8yrUfyW+WcQuzMnclIVm1upDEtxHsqj1HZ4U +geUdepee/Yn8nTQw0lrswHc3h2f10NjauqZdD42trTkc5XFXvyG/pWoR79Ba +9bCL33ns2ppYG585Z80L9DoBOsFlPA== + "]], + PolygonBox[{{6150, 3663, 3440, 2835, 6152}, {6154, 2836, 4493, + 3498, 6036}}]}]}, + {RGBColor[0.16675207, 0.1782183925, 0.1898492575], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJw1lk1slFUUhi9MO9N2Zph0KPN9/JkgBRe40I2iJiq/7QYxKBYTBW1wAQsx +mBRMSzVEDcgKWnUBMUQjGzVq2yAUQtWQyIpGE0kVI5YY40pRNBJE4/vwHhc3 +9879zj0/73nPObOod8eGZ2emlK5rFbSKbSmVtL7Wj8ullAa0rkmg1pzS+qaU +/tL5uTylG+WUdmg/o7tUSWlEe3+z73t1PiUdme5XtaS0usU6OXe32Qb6+c25 +KJ1TIXdB9z1azbr/fkZKF6WvJD0f6O5x6a9W7AfvmuPtUd2tqNiXbslsLMq+ +zos6rK+U+/vKkCnr/pjuF2cpbdL7npm2tVb250lmjfaG9rxin7aEfmL/sJHS +bmEyqbd7m21vSLq6JDe/Yh17pL9L9wPaB7Wv0zosmXMF3w9FfMSJ/3P17nSb +7X5el82qY96v2L8tG/8RxXC3vr2RO/5vyvanqN91nYe1H6il9FrNvk40OVby +8pTu7qo7nnHZmdS7ktaofi+tO+be9pSWzfL3XYqvj5wn4wAG5Gpc60fZ2ii/ +pyRzpGBdVd39pPVQk2MkPjDt19ufy85dT+7zY9qHM+PVpnNVq6H7ivYLel/R +eVLyrbntXJlt+8RILv/OLHNd+ye6P97iHILr3sD2eeE3rHgyyW1r8nfy+7ve +/KD9vHQub03pZItjfViBPiP5GfJ3q/b1NXOat9ub/AZuw2tyBgfBnzxsrbhO +iBF88RN/ByqOnzy+VHZsvF+QGbuFmfVfLNm/Sfk0LTsfiV+zcvtey633ctTg +WMP1OKr9kPz/rmQeg/u0zu8XXHc360ryb+r9kOJ5N7edbRHLbt29UnU97dN5 +S8212tVmGbBCN2+Qn5av/+rb5cy5wd4a6W8J7sHB2zL7sDRzrYMBNX4jMz/+ +0b55trHolvyOducpC+7wFr30ATDnLf50R68oxpm6mRBnV9TcG94pOg5yAUbg +AyeHWs1XOFSKngMucJZahP+3zzLv4fyY3o9qvVdw3aELPdjril4ENl3hz8fR +B+gHBclfbbJuav2OqHfW4jbbgmudOl+aYb1Hwgd4iB5yT02sDZ+RXQKOMx0H +Z3R8qtgfqJl/Z6Pnwsn+3DrgEW8Xhy32ztDzhGJ9sOaesln7krrr+0pmHtEX +wYL48ZHe0FtzfyD/U7I3XHBvPRu1gF/4h35qkZqU2TRHuLyl3MxtuBdQl2AI +xhPRl5gpbxedO2TJOzXeHZiD/VDY4y2YgTO40uPx4VTUN7axQz2D06WwNRZc +7at4TtAT13VYT6+wWtCwD/O17+yw779krle4Dh/u0bcRySzXfrDVMWITH0bC +D3L+Zcn4VKMX8h7ZE4HJrZnr6mpmf86Eb/SFC8G9nrBJ/SJLnVOHpegn9IOL +0VOvxezri9lEr4Q7j+SeS2ADficiL+SYHkePAH94B160O/ylf+AP9ohzU/AW +jk7HfKSusDEeZ/JOzHCDmdFadl7RxbxNEeeczPh0ZP49EbE/mnumbIgZfTRi +IVZ66J2hixiRRxbb+IP/+EYMzJb+kO9p9jw4F36eDPnR4B3YMgPobY2GOTIZ +sS+JeuEN9fFkzTXylc5f1KyfXBMzHOvU/YF2z/7Xc9cw8w2OIofMSPwfwi6z +/eW688kcoHfAa7BdE3W0SjKf1T1n7q+55ql38F4bMjsl80K7Zyd+Hanbt1er +7u/0RPSdjv7zR+bc/JnZ13nxX4Wa2xb9dmXNvRV+9UUt4T86xkMPdTMY/S2L +GqfWd7Xbb3yGa/AHvp3PzK9ls40Zem/WZtG962zMxf+5nzfcA/jvRk7G4ht9 +7HBgDh/gGDzZ1+Geu1/7r5m5fizzm9HIdWfUHfU32OHaeFH7ntzzezA3v9CL +zomYBfDhVPQ5+g+1eDDq8VjY+i1zbrYEb59WsPvb/Z/u3objvK9hnMEKzi1s +eG7d0jDv4fRA7hhXx38zdvLHGZuHAk/m6lTM1u0xL8HrP5y6iEc= + "]], PolygonBox[CompressedData[" +1:eJwllElsTWEUx0+19aq97dX3nnsvLYkaE13UxpigFSqSmqsRQ3lqq3ZIByKG +IrFRuhELhAUSbS1MG2KNWjSmhTYiEgmqJEKJ3z9n8SX/c77z/c/8Tc+1bto/ +zsyaOAWcgYzZcMqsJTDrSMxmxWa38s2G0M0Bb0bXiPyhxGwLuJuTBq8rM+sF +L4zMnkLUN95sMXhR5LiRMwL3ZzjysX8FXyV4X7nZ3FKzh8VmefgshqO+yH1M +AJ/mvmqi2SPuJ3Of4U03dwO8nwTOxo5rCs1G4R9Ffof8Ps/sO3gecd3n3Wl8 +PoBjBrrr+W4zE/yccwgckvsz8Hb81SG8xf4XhbmA7ibxnUffQzytnDHu2vC3 +Mmt2GP1J7rchR+ijyH1fJt8Y/IX3iHaPnL6CV/OmU7FSo4asc4irH/sl2E+O +/O0gMSbgqqxzX0U3FbkduR65iXMOvJZzrNB1HeCdxL6bk5BzxBnG579ir5lq +V8vdk7RZKvAcm5FPkcNK4ovR5ZDPIK9CnoJ8FtwfOK4IvFdd5W6rno3Enptq ++g18Ce5W3cM9n5iWRp6bZkKzMS3yXNYjTwH/yLid7MuobWfis3cbvkZwBTZX +sA+xeYHtRc0YPjbS15LEe67eN3C6yL8G+VWB5zxEPNXIg8hH4d+V8dz2hD5L +ylGzVV3ms6EZ28v9htBnsa/Afcr3BN7/iD1mxa6YKsG5jPdSM63Z1oxr1tfw +ppN4TlCvg3CWBt7H5XD3EH8z8mvtAfLLtNegHd0dOIfyfCZ7wbNj372P2AZZ +r4lq8wm5CXw87Rx6q55uTfxOfKrtb94HJV4D1eKGZj7fdX/A/ZqplO+8dv+a +OEPfwQvgqbHv6nN2oQ/benS5At+BA+AFad99/QGaOdnIVpx3I49ZsZdyxhRL +4nuiWmi2VYuz+KsNvCapxGdffEXgv7G/VcyKXbO6K/TZ1sz+jL03+qP0V53h +bjmcdYFzrkm894pZsbcn/nepxm36X7I+O9pJ7abetuDDAud4jLws9F6ph0ey +3lvtnHZvReh/hv6KN9isD32GNDvi0N+zo9zv9AeptjPTvkuq8X+FpLUJ + "]], + PolygonBox[{{6159, 2839, 4500, 3499, 6037}, {6155, 3665, 3442, + 2838, 6157}}]}]}, + {RGBColor[0.21125345, 0.2303639875, 0.2497487625], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFl2mIlVUYx19n5s7cbeY6c1/v+1Y6atFoe1BQtoM2q0paGRpqmy20RxGU +OpVENrYRjm0Y+KGCIFodoayMsuVDOkNFBe0r4afIivb+v/6P9OFwznvuc571 +/yx35gVXL76qKUmSMyclSbP2j9uS5FEdxnV5VCFJluq8XOexliR5TWur1o3V +JNmitUPnuXH+TTRrtK/VOlbv3tJvHxeT5HztL2mfU0qSbyWjO7OM6ZlpeVPU +Wi45T2sVxWeVvr8TzbP6vkLvr9T6Rm+n6M247uvahytJMiC+k6XzzW3mf1Ob +F/K+Fv1U8RnSeVDrg1a9bbY9vEO388S3XPY35z0V64P+xdANHbYXzRP9+7W/ +G3K3683bLdYdftgMn0+K1vlD3R9eN+3v0vlN3e1ssT85Q79ENKvwVYvth/eu +4I/u8ILP5fr9LK1lOo+kSbJQOm7QPlS2j76a5HgQoz7xnyfdmyJGvON9d+LY +7Qia2/R+UHzWaR+v28cHNJLkGcmYXHBM0XdcC4xcGbZ9pN8/b7Nc3izU+706 +XyIeF2rdJj8O5kmyTbyGRTemvbc9SW7vsl/f0/52zX6erfOFNceKGBJL/HxY +s2NJHK/pTJIb9H5/8d2T2Y4LJOdLnafpfLTOReJYtm/RC7/gt8XifZneN4t/ +u+6qZeNhW4sxjc9L3JXNg7jAhzhCO1+rErwH455v+OPzoaBB1kSL3xPT35ts +O3l0k+SfLv07qqYZDxyAu/6I9Yhs+7Tid+tTx/kn2bWyyTQrmpyX+Hmz9jNa +HCfiWK44XnyDo4nIpXsld5Xsnya5r0rHl7VKTc7hV8rOteul12rR7Sce9dw+ +TnPn/mib8+Vm/X6H6JYVHLfNXY7dIdov1fcM8R9vmH639sP1ZrfOW8R/ftGy +S6E/unMeCF/vy4WJ8AnYwQZy4kDxelx5e5D2Z1udL9QTeI+UzB+b8DE8ZwkP +X+i3gzNjHpr/8kX7hjiDA2zHB9fkriN92o8LGSc2jDvwB8721/cW3XdrX1l3 +HenTeXXBOpL7g4EP8DPa7LoANtamxsKPencSvFvNty/k9uf2xzEF43xdwfkI +j3eaHQP884loz4saOxY1mNjtilr0ZLNtxvafM9fjG4P+VukwID63pK6d+AH/ +gZFtgX9wAz1Y+qzimgcO+W0sZLFvi7oBLvFlKlktFWOS2C5IXWd6U9ehsaD/ +tGBMEK+9enuuzktyx+3RwAO1eSBsfyKzbX9pv67JvsAP9aj/X2k/VTEYkz9P +azie5DR6fl9xvaaGbJhinz8l+oW6W1C07HNy052dO4bYSRznBAbAwt7Uev+c +Orce0/0i0c5s+Dwj5IMDekBde6FoXZfofmur7+HxYqvtHw+cg4nZZevZK51P +aZj+ZO0bS44peQ/e0Qf6TSXrD/0JDefB3NT+2Rn1eWbVuQgdtW4oegdyeM/b +s8P2tdo3NRuPYA+5oyVjidrONzqAFXSnzi4IPvhwQD5tpbdm7n0D0et7I+eJ +6ZrUNg9q/6fsHEDmtIZ7yIGpewr5RR/ZHvlE7pATm0K3btk0pWJ78M3G0HNJ ++Jh31MfReEseYAt2TI/ah07r213LqGNgAmxcXLcf0f1q+eQhrYdF83huW7cH +Zl5ouDc9FzUJHuBhom6sPd+wTGSjG7j4q2J8YR92YjM0G0M3/Ive+3TmDj/0 +lF0XsJ28nxu5DIZnRnzxUyV6UDV6FPgnD6px5m55zFTMC/gUvvRZ5hnq3KHy +w7faD8ns3/by/zzao6/Nj77JmZloT9SIZbnPS3PHmFgPR71ZF7kMNsEo+cus +Ra+ln9GjV4btNfH4oeKeRn0aiRr1Z2ZfVlPbDLaJ49eZ8fRNZt2Gwn5mk6GY +T+i11E1idF3uWFybe66kL1PftoRvmYfIA/BAjQJ3J0Wtnhxxxv/UHvQiF3qj +1t2ZGpP9kbPMMd0xd8J7XvAHp2CCeBzZIdx1uncRj57oj8RkVtlx544z+TQ1 +ehC9iLueoKFXkAPg/1LxW1TzzAfN7Hj7unp0b811fQVzSM1zBn7GHuo4vgcD ++H8kZhBq82jUzVrufnFG1HNyAv7om4vmfb3NMuOLM/57Q3Ln1RwDYr0P71Nj +fmOOQ6dizNj4CN3pbX9E/acPMH/QG8gT+ii18PiG8+mKmLHBC/2e2A0XjPXN +UV/AQlX635O6Rq5OncPk8rTMdascmKSPMCuB//Vl43g85kN6OzqQ92BrUfTD +iZjBwMpZMWO/FXMgsyK2fRd4w3/4mX6LvFLwHIy8gJ69HGdsL8ZMix6j4Yc1 +uWsOtYdZqaNiPciR+dEjwBaxJI4X1Txng81a5NlE9KBZEccXqp7nZsTsgI5g +nnkHXyB/b+b6xH+FXzLPnb/yv6bL8z2xpO/viBmFHKBufxQ5TC73ZPY9tQdf +gWHwi213S8+7as4bMEafovauiP9Q/JfqyH3HHNETGCd3unLPsJ25c+uIDvsA +/y0Nvw3n/m95S+7exXxFv75YMo/vct4+r9/m6Pxg7hiDX/wATpjZzo9ezzvq +2gO5c2Q0Zs7DYs7pqzn3wDiz/84u44ZZaTjwyf9g5idmoCR3bCZpn1tz/iC7 +PbcPK7n/Az3S6Rn9EtHc1+n+9k9mDPydmQ76Tdr7M88kfdpnid/9ne4f/wJM +jgoH + "]], PolygonBox[CompressedData[" +1:eJwllU9slFUUxS+dP22Y6QzDTL/vU/uH2kTEBI2RBQgqCZXSqo1ggoIRESzF +GAVdaukghFABQU2oaOKCBcYYF6IUExJ1pdGNVtFEEjH+AY3RlSliUMTfyVm8 +zHnffe/c++49907vpm1rnmyJiCdYedbOLGKkHHE8F/EAeBWrWYqYg21DPeII ++yVzI+6r8A28II043xrxG2faGxF72yOeqUVU4FhfiFiWRHwK8VQx4nbwymrE +J9xvw/49dxbCOTE74hvsD4Mn4XsbjtfgeBX+hfg5xdl9nP2Ac0N82wUegXMQ +PM76lf35WRE7wHvgPoOP8bJ97CemYeJosgbAA/AX2iLq7DeyX8n+s5y/rQIv +Jsa17I8Tz5LEPuTrMj6eBq+Ge5TYpvjWUrav0/hcVLDPj8Er+PZdyTm4Bo5z +xHYUvk7wEewvYF+BbSPrdfbb4bu6ZI4aPq4qOXd9xHc9Mb2Tc45vAG/D/kje +NdkOPqY3wzdM/K+AD8L1KPtOuIf4do47V8jbJBwJuMyZb8Edqhf4Ts4+xJ1L +iOAs3/7gTJ7fM/jrBnexnhWm/p3g09Tol1ZrpMn9//hW0XliuhnbU5lzNUb8 +/cTfw5tXYzvG+3vBo5yZyduHfKm2G2r2rRrv5s4Qd3ez7gK/yZkvc/ZxBTxS +9Rv1ti69kW/FNtdQtWyw1oOnibEj9Zv19q/ZZ+CXuDsKRw937+be0sS1Vk5v +BS9nnSxas9LuZe58zrm34PgXvLVqDt2dB8efvOemgmMYxP5Tat9d5OtH8EXs +txSswX28Zwv7pfAvYx3oiDjMt6Mt/raf/fPsH8/7DRPgi3DMLlkD0oJ6TL1W +ZQW5vsD+bMEc4pI21xBjrmyNLqCXDtWcqw/RwUDiXlunfIHT1LlRjIpVNVPt +lIM7sO9kP1hwj6pXpUlp8w3s12JfjH7vrVhP3fjYjO8tVWNpUDNEs+R3aVrx +wrG26BrvguvvunUv/dexv0ysJ8rObS+rmlnbD0oD4K84P6fgnPxF7Osyc4tD +XNelrtUPvGl+6hwr1+qBn9mfJOZmqzUsLR8g1uW8ob/snlzEt1NF53Sm4Rwp +V4c5Pw2el1jLikGxjHFG83OaXO8ANxvGmiHj4E11945qek/DvTZQ9exTz6ln +1DuaaZvBszLXVpqX9sc4P9HunGsu3JZ4liqHymV/1TNFs0Qzp49BfWPFs/Ij +1heJY5dGpdUXaz4jm3pAM1GzUT05DJ7MXEvV9N3MPahelAaeA0/BN93iHL6v +WZm5NprB94O7E886zZgu8IXUtdAMnAG/l3hWa6acAD9Ws0alTWlWs2z+XNde +db+U+r9HPfgPuCf1bFIMiqUvsRY1YzRrVMutNc9m1fR/aFPhZg== + "]], + PolygonBox[{{6164, 2842, 4507, 3500, 6038}, {6160, 3667, 3444, + 2841, 6162}}]}]}, + {RGBColor[0.2515966825, 0.2762395025, 0.2985102425], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmF1wlHcVxt+wuyHZ3WSz2WX39ZNS2kISKK2jjtOR0tGWr9CEhqJYcUga +piKl0Kqj3lACVhz5aK9kYZxpHexFcbS9EJQw4iiMH6R10iadUZPpFIaKtsP0 +okqhF0WfX57T6cXO+b//9/9xPp7znPPuvAd3DGyflSTJvqYkyUgOZJPkuAar +NPmxepL8bXaSfFRysKJxS5L8QuPP5Dx/WOsOtibJpMaDGr8heVG/f+usNE2S +TxSS5COSu/V7qJgkeyQb2v/LtiR5QeM1Oue07mto7yc1v1j3X5bM655P6d2Y +5m/Vb0JnPit9stpT1pk5ydNac4fufrPJ96MH6x6f7fmdknurvuOHkpul/9+b +ZVfNZx/S+006+5ruK+jM9yQnap5/RfKfek40f6nu8zl7kabua7FOP5M+66X7 +bRnr1pVPkpWSBf2O6P71LX5eILtvKfq5Q2vWSg5n/e7+Fq+vaH6dxv/QWX/Q +eEDjvOZvLHqe5/0538293M8YfXYXfOZcjR/Uu36Nh2Z5rj/mb5ANU9J/nuR1 +vduDjZKnah6P1uwzfIc/sQn//avJNh5odXy/VzQ23tfeLfLnE7p7jWJxuNWx +f17vdmSNAXQ5UfOZc+uWnEmM8SVn4rcDik2/bDso+aj2XpDOUzqnR374Xfjw +P3o3pTV/1TmvS/5WcVyS8XtwgM7dep7U/NNa/2qzx2Xd1Wi1fuj2VsF7WI8u +7MXG6Rbv2aA1myret1hygfQ/pvmFkhe090TG/ntqTpIs0/wL0ueadDsvnd6T +HNc5L4fPD2rNUq15Xmvmav+zGs+v2UbG5Mi7VdtzVTJXdOxP6v0tWvec1tws +Wc55vE7zN9bsm/laf5PWpwXjA99j48XIP2zG/9tKimun176o/a9p7eaI58GI +KTh5LTCJD/AFvptq8RifcMeFwGemxe82ZD5ch8/vlm6jer5HshY584bkc3X7 +pEk4WV7zHStqjgN5QnxXpcbxasnP691xrbmr5pxhzVDGvm1EHDekjuVIan2O +ab5L88t1V1bPq0P+vPXD9zNjxWVh3f66Kvll3XNSv5dk++/zzgnyEV+NZe0T +5vcX/O6ZjPOcNeRTTvM/Dax2542nrhhjF7InxvAQ98F3nfCAfuX4DWec78QC +PxCjy8GHXxcOhyvG1O2SZ/XuTNY44Qdm2Psnrf+cxn+sGwuNwEM27/m9OfuI +PCJeZ/K2DVuw9d687SUuPWELfFXKm0fgXWrDZMbvsG2GH1rMYx/Y2xXz79aN +8QnpvFJ8v1c4bC2ag/dpzYTOqSt+H9e5NckfV81xVyTb8+ZmeOxi3Tx3YI45 +irvJ3TXC9p87nZfk6FdzzpFXNXdO7z6bs019YRdn8jyoM69Ip406f6kwdi5r +7hgM3sZ+8EZ8iBOYh5+oecSfuUrME7t+/S41mff6Y74U97YHl3dGjMijSsz9 +V3b2yK5PV7yXfOWc8eBtnuH488HzxO+BZusKh7CHu/BTe9h1c9FxJR5wOBwF +x2bk3w75aVZqrrqz2TXkN8HP8DRnt7a45t5b93hN3TWes4gpe2+NegcW3pzt +egAvvjXb3EieHYu8m6yYa3+t86ez1gH8TAeHwB+sJ1fJTbhwSdTWvugD+iVX +1c037+i8xXXfu6juMzLBP/AsfLu1Yh0Zcw5YeLrTeFghHJ7TuFR0rnUEtsEW +Pn4IrGr9X7Tm9YLzshzx7YxcJY7EZijiBY4bgdVKYIb4npK9o/r9CsNS81Zb +1djoCExSz8jHdzRfSY27axXjBG6H64nlmchTuAYMzvBPzrmN7aXAGjoQr7ua +HTNsK8V8X+Qy91K3wMbDuuuLNXPgF2quedS+Eenzv+Bt+Hs68h5byN3enO0G +exNhOz7FZ+Qgucgz41Oxl36S/gHuYrxbd0xo3Ft1DsMN4Gg47sHPrM0WzXPg +E2yC/11p9H3S945m+wJuW1Yzd96tM1dGDaAm/KBqnZ+QvKL3I5HLk5FP2PxK ++Bff0g9Sd8E2PSD+xK/YN1R0/9OZOkYdklsizui+Vfjp6XTvtkhye8n93+3B +4dfroUvOuCHexP0rOmd71v0WdZlaujPn2vRA1DvqHjUHG9C1W+cfKbvHfFzy +R232fW/49vuSu/RupGj8H9H+L8knh6TD8qJ9eyb6fezFrkekb6NsLjkRNqA/ +Nk6HnTvLziVijP/Ggj/PBuaJ79sF3829j2n9d9v8PcBa+m/Wrw3+JK+uVmx3 +XbpdLjjHB6JXgu+mQkcwhZ7Uo8tRk74tu65r/K3UPLQnuAj/MY/ucAccMl6z +Xm9HP0fvszb6oq+lnt+YusaQQ9Rg+lxs3xJYHggbjxaNafQ5Hv0x8/Oi36Pv +A9e7Att9UYPIVfbeE/4fijHn0BvDX/ARuFsWubyn6ppF7dpXta/wGfV/ftGc +g73oOBwcCpdSY+jd1kVfTW9Ff7M5vl3A24yNOfcojcjp3hiD45viOwTsLIhv +GfRdHvrzDEbgKnrTmVilrjNLo9bQc3IXteOb0e/R95GL/ZGPP9Hz+vYkmZMa +Z2AJHjgdNsG3cChc2iWcrKg6Z/ZLTmaNeer5WKd7DnwPNzVi753RW9JjbhUm +l7S7BwLD7IMH+E4FQ8SrI3L8sOT9yotHyu7TyR98UU1t/9nAw6Der9a689rT +HX3mwuBR6jp69wcHbau4tt8X33b04wfiG5Zn4kfsBquujSvqxtfR8Dk1alXJ +nDQWdg/Gd+gzUa+f0vsnS45Vf/Sc9Ax94Tf8R2+Lvtfj23E8vl9Gwy64l15y +PHoSsIMPwSI8942SMUJ/dDjuhZuwET3IV3R8P/pM9rP35fgW4JuAnBgL/W9r +d2yISzbqO3kLBl4KHGzT+3Ul89dk9OobI5dfjL6d3rC35NqCHuiHbvR3cOlQ +fMtQN6ih9FPwDD3rvjbzKVz6HY13ld2n4kPWXYq+lrU31Nxn74i9YHx75BSc +d7Rs3gObk6HnucAqeINPTgWv0uN1hz4jwRtgmPx9NPq9RvgCHcbiTM7LRo/P +Xvh1U3AyPoMX8Fsa32V8n1Ej4YDHUuPjaPAP3zXEj3q4P3DBmP9+qMF74zuG +c08H35+MPD0kgx4umY/Ij/XRS++fY0zT449GT0C+8C3wQR/xf7hQZP0= + "]], PolygonBox[CompressedData[" +1:eJwtlUtsVVUUhldp76W0tZdLr+ccn1AooAXUkKCGhJeK9CVNCvEBmBYlqBRq +UIeibcUaW3lMhHbiRGIkPiaCFnWgJppITETAaOqAGtEIUQcqhWqCfn9+Bivn +X3utvd57nfpHnuzomRIRz0IVUHch4tViREdlxJyaiIPghukRn1VFzIW/UIoY +ykUsQPdvcCfyNu78WB1xGUMD4MYZEfPRvR8bF9E5g/7ryIbBk9A4/CH4EfAT +6G+HGtCfDe3AXuNVEZ/iLwc/DL+jYN/rsTcGPo3927HRy9nzyAfR3wh/PTHs +Rb4K+b3IVkPdyNcXbGuUBHuziPPonSvjbmZfB4rOVT5bOOtDPpP8Hq2L6Ck4 +Bvmeh04z/Aj2N4PPoJdDv8j3VHnE4ZRawO+GfxxfreCl6HbURmTVznEEW0dr +bEs1+oU7gWyY+9eAJ6Fq+CPwC8DbiGFZPmI5tPfqiDWclatXxNME/hL7TQXH +UsBeLzXFRZzEfx/4Me4vgu+BX1ty7PsKro1yaCm4h+rdODZWo7OLWh7D3z1J +xEfodBUtG4LakO9G3gq9CG7l/nFsTqvxDCzB3w8VV2oA3oNOu3oFNYEHZriH +6p3uNJTcu8P4m5949rYVPAuawdPYKOZck0vk+0bmGdNsjYBfKDnXTRSlH/w2 +Ot8hG+DOW+CXOGvLOWbFvh17F9DPYe935O9A45We6SHq+xrx7SSGG6o9Yy8z +H7uKrq3iHCq5ll34GwTv587KvHv4M7b+5GwMvaWcDSJbV/AMavYqsHFT4lzX +wTck7ql6qzdxibsrOTsCvwX5isRvRm9HM7AH3TmcHQKP4X82eHXiXn2F/ipw +GTU5QT7vakjA3eS7Iu8YFavenN6ezvbBz+LOr2W2WZ/47WwvOla9oTWcnc57 +pjqxNQk9kHdNB7DVjPx7+E78NYGXJe6FclieOCbFNgp/d+Kclfub8PPAcxNj +9Vi9viuxrnzI1y3Qhrx72gVeSI3PTY34jXrX4v8fzpbkPGOvwP9b576pfxn5 +j2LvG/Lt586H4PcTv/3n4D9IHLNiPwB/UrqJ8WJsTGDrWOK756Fv4fuxuZW6 +HOXORvBD0OZy75QN4CTzHtKsaLZ3Zu6ldspT4DT17JzCXga+VvM61TkoF+0A +7QKdXZd6B2gXKOdFqWNQLIqhD3utnB1HPo363Kf9kxqrZqpdS+pd8SA6zeCb +U8/GWWw0gkuZ35JyqAO3c1ZVaZuyfTG1rmZkAjwzde20U25M3QP1QjuwgvvD +mXeddt574Kehy9XeKdott9Z6p2iXfMK+nYJ8erV3hnaHdqh2qc7KkZ1NXauF ++Psp9ZvV2x3jbBb468S5aUZPgBdjY7DKM7mlzj1UL5XTWvTvgP8473/ShHZZ +ybtMd3T3c3TuBFdA+5HVp/alGdIsbSKmP67sBs2aZkCzoLOHM+987X7l/Ixy +T/0v0Zv8D7y1zrlo52j3aEdpV8nnF6l9yrd2yF/a5Znfumo6I/MO1S7VDmsv ++d98W61rqX/0/6gPA9Q= + "]], + PolygonBox[{{6169, 2845, 4514, 3501, 6039}, {6165, 3669, 3446, + 2844, 6167}}]}]}, + {RGBColor[0.2900108775, 0.3192062175, 0.3421045975], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmHuMlOUVxj9m2d0ZdpGwM7MzXCzQCgXWXQIp5U6rYkKF1rZpynWpEsAq +CCxLqiAo95uwbJs2KthKJaIE0hj+qBeK0KJNBAoVWFBBQC6CKK20iZVC0z6/ +noe0f3zznnm/93Lec57znPN+3SbP+v7MVJIk1fopUVtokyT/Kk2Sw/r/anWS +LC5Pkm6FJOmil1/S00/9h9V/vCxJRqpNp5OkXM8kvWtpnSRH9fxJz9p0zGF8 +vdboUxb/10uuLo211mtMV7WftEqSTmo76ump8beq7aynTvLqdPxHnqi5tWXx +f472GK++y5q7Vfod1rjSYuiEbt9SO6oQ+t2rNqc9v6z+bEnoh55dk2jRe7L6 +l2r9rhpzROsedD9jH8onSXf1P6h2RTp0Rc/31Dddc7ZIvk37vaj/PdV20H7H +1P+R2ho9lyRfUztK+i2tSJLRaifouSJ5ido7NOcVzb27Os75qJ7B0u05tce1 +/1y1TVojXxp26eT12WcbsnTarvbTnMZrzBW1D2eT5KeSN0q+rOeY5E/U3qcz +dNFeL2v8/RqzSv0/U/+DktdJfkryVMlrJP9ccp984GGnxveV/G/Jv5P8Tclt +tM4dav+ice+q/69q78+HDSerXScdT7YOv7borBvUXtVZ2lTKxvr/jP4vz4UP +Rqv9ICP/qm+cxpyW3FdypeRn9G691r+mdqfWzpTFuElav7IsMLRL7Y3SmDNB +/TVl4aenNadJ/f9Q26B9fqhnivqnS78eGjND7TQ9X5H8gNrZenpJblD7I3Ct +Z6rG19tf+G2x9E9JHqB1x+j9O3rqkvAVOMlr/KHW4VNwRSysczyMlo9PqH92 +Nny1Rv0v6ozL04EtcEXfavdfy8Yad2reJNnkpOZWlIT/8GOD3r+kcU9q/GOp +OB9yP8fOGscPfWvdj6/Qh3lbvDeYG5cOGR1WWh/eg52VlkvED3sk35MKeyBf +aRW8McLccaAQ8n5jc4jklnTgET/ho3XWBx0WyV+708EDcMP7ZXF29l/peFtl +mxAfvOP/fLXj0yHTP6o65s6STe6pjvicKXmp3i/T80Iq9BgsfTqmAu87jSXi +/ZB5gLg/aHlDJvwL14CX6pLw7yP54KKfqD2bjrnTWsdZOfPy0vjPOt0095FU +cAmcMzUfXDRFbaP6B2mOXiUjpPMDEu4WVu8yJ8AN6DvIOh80J7HmZxr3nva5 +mgsbgXlibX4++HZePnThzFVav3cmZNZ5X2v01JiCxs/KhzxT7Ve130n13aY1 ++2cD16liYIjzdjZPE9fztM6JTKzF+cA3+8Ltx9SeAnvqvy8b+9dlI0bBCvll +bj50bsQOrYM/PxUGJmYC21s1ZrJibVxZcMc44eSo5hcln9OC3dsGlyxRu69d +xGNzm+AYOHyt8LnXexE7wzPBTY9q/Jz20lPvX9c6PfS/Qus0ao1fqb9Gckkx +cgq5pdYcXuM8Ax52lEQ7xtio0zqzNL+n5o4tC277TP3r88FdcBgYBIsdwH8+ +eAl+up6KPnLZs5mIKTgHm+IffD1W+x8pDfyNkXxYcq4kbAMnc+ZfSvcG6dBL +OtRXxvnRgTh70rFGzm1Kh23BP9h/PhWxSVy+4Lhb7nhf7fgi5mp1xk3ao7Yy +YgBd8C8xzz6HHZfjHZvziuG/+Wqflu1+Izu/XIwYGWxOaNR689TfpSLyCXbA +HoccO9OcP8AavPT3XMRWcy4wQx1wQu9PpwNv4A4uxzbk+nvN+yPVLgUrleHr +b7s2oEboXIz9b1V7IxU8CheBY84BZy5Jxz74CJyyN3HSRzaZK5vfrjUvaMzE +dPRjb7j4MfPrOHNsk7mzLb7Vfp20b74YccV7eGyYMDA0ExjeXR15dI/aXXpW +SH5D7e+royb4g9q91VFXvan240LkpsuFwE7R+HndtRw13cZM8NpF/T8o3TeD +Xem/X/ImyQNl34GSX6mKvN33FvmtfcTSDrWL9G6gxm8zn8x1nQImkPEB2IXr +4IaCsVxr35LfW6piP/Yi/pZUhV+o0/AbvPg1vX+1KmoFMLK1ffiJ+HxLutSn +gysmZCInllsXMPkD6TykKuwL71FL8W6O1hyq/t6Vwans09HcjI7Yap/Gv52J +2IZjXqsKnjmZCb5bkI5YAe/UJzWZwBt7HJC8H500Zna74AU44beVgRVwcioT +tc4Tri/qjQlya6pN5ELqMmzKmvi8UBrYpNa5YXyOkT2+rj2OVgRmsAG4qned +AIdyPuzJGbFl/3ZhT3xw3fUz73Me05yOnMI+4+0rxpzJRE1GHAzJhI7kbWya +Nw+AlwHtAjPj9a6lNOJ5MWPTgcXH1S5MB3fA2c9VBW/DhcT3oCRyPjXHzTp7 +nvupf7e4PoZT61wnU6uCs02unairyFfrpWcTGLX9XnJsozft0CTeEeNDkqhJ +qI3IY9QhcB7v9krPX1QFpzaYu+Ag+P+waz84e7drIXj6ZGnog13havx4Lhfy +2Vz4fprzOPamlsXmXxQiBx5VruxUjBzVUe3nubDBgGzEL/mIHMT54Bk4ansm +YpI4GGneW5cLjiTW8Sf7n7A+LdnQ9zVxwpVC2GNGNmzAnQ07FIuRi65nI6cd +cU4hz4I78g6ces71/XnzP/55VnNHKQ7/XHAeqoiY+bA08g25BozOLI989L1i +rPNdtWPTcVeiHvq1cL6yXdTjP3ZN0t/1M3dCfE3dN6M8fEZ9/XB5+JvcyL0O +LiUvt/K9A1ulXRf90XUqd6kevsdxn8P34APbsvZxY4I73zFjcbTvLyvVdrUN +sSXY447GXYPYWer6c5jrEGKVWmS4eZ52mGXiZpnrBHDLeTgL2JvtWvBmrc9+ +7IOeYPhCLvB3PhcYwe/gCTyuMSa/yEXcNOUjZ5a7TmPfD+0X7PeuYwb/gFF8 +9HEuxl1yPdPi8U8Vwj8d5LuLuajTPspFvB/xvvAA/dQbxNAQxxF4XGVMti4G +rm/R3FOlUaMwnrwKl5NbOROY5lxvm0fhKXiF/diLXNzo2oCxjR4PB8FFxB16 +PW4uog/9nncthr/gvf3mPHieviXu5xyLzWn4pMFnGWQfUc+TM/vdEnkTzl/k +9anvwXVjMezQYJ9+pxDfUT4Xti8VAqsXCxEzrFHpWgscE0/koBv+VnOhEP5v +lk9H5ONefFc+cgu5krxQl4/xtfnQ5QnbAd5hPHmlXzby9jLfucf7bnXVsXTE +urxpfW7aF5uQHxfa/sTuWHMj9yNkzozdTtmnc/09hO8i1JTkRvIhOXSi6y1q +FvganJOzwQDvqPGog+FX7mXUx/iR3MQceO2c6y5yC/HKdwFyCvd77hL4jpqT +XIXPb+YGcivnm2C/k5uxIzakPp/kfE38NTgGx/ouwHnh2THG5M17NfFGXTHW +vP+NfHzHGJ6PugiZfIyujO+Z+t/9Fr9SD8K52J9zLnTMDjVvtHXdRW1CHUPN +gZ04A/dI6mnsz7wFngsuhnouNsEe1Gpr8oHfvzlPEWPoPMbyOMfjAdc58Oh2 +5x3Ot8+1E++IH2zIvH1eZ20uePGf2dCFmgqdacEQ+KnznXF0IewNNvAB5+rt +s+Ej7joTjOUPrBt7otsJ2+mka7YNvi9d9dmpYTk/d114pboY8YO9p2ejHiW3 +MY98DH90V17YXBnfgKhb/vv9oyJyJDY+a5xjh7P2NTUyNehc14rI1FrkOtan +BqZdahk+X++6hfyOjL3ekC16Sd5ViLsJNQoY4e5AbQTWqOOb7VfimfwBrjk3 +c4lheLrWsUbddMI2p3bAj9i93Pcp+Ij2tGVq7SbHAt9ZT/vOBRdRH5ILaM9Y +Zg9iBvswj/sn8dVsmZxCzdvkfvp419Vn4hvOFtdIzR7PnuyNPlPMV/38neeM ++Zr36MW7BdYRzO+xPsQv404bn+Qb8s7thdCHWpwx1HT8R7cmy/STg7hDEetg +gfsBdUWz76dvFcKG2+z3FsvYlvGbPWdxMbiKWox6kjV3OB+dcm5bkYtvUXwL +hCvAOfxJe8oyuX6j73ScscT3CGrxCmOYtTd6fTjmnHlpieOUeKmwj/Ev98jF +Phf1Hz6cWAxOOm9eooZgjYeyceeod21zE7vUTuC9xncw6pxJHkOew4fvVMfc +Sf4+Ay+A946FsDn64HfuevX+NkT8X/i/HAHvL3I+qHF8kfMZQ2zD1U2OI+zC +eOzO2hO9fr1ldPsP/cg8rg== + "]], PolygonBox[CompressedData[" +1:eJwtlllsVVUUhjctl0JbvbY9556rEAYNCJaCOECROkF9UMGqUVGxCKWVuS20 +DvCkIGAMBXFCmQ0xvhhRHjQyOQA+iJrIVIXGRFqgRVDQRDFC9Pv5fdi5/9pr +PGuv4Q6oaXiwPieE8BanO6e+JIQfe4QQp0KoiUL4GvpR6IvQw+MQvk1CaMwP +YQn0H/A3cObmhXAUmfGZEL7nTM4NoRV6P7gqG8Ia6PaCEB4Av1EcwodXhLAc +urowhI1FITSlQygFV/cMoRx/O9Fdhf254CZ0phPYYuSbwbO5G0OcHchuIZaB ++DjdLYT30BkEPg7/ceLJh76DeDugH4MeAt0IfWds3j989K3gY/Anwr+Gu6eg +2/W90IOgZ0OfgJ4EfZh4TvGt92f9LeXQF+Gd5DwBvxX6NPx1nNl5zuE9xDMS +/nZwC/yZ4LHc1ZCPT7gbB27g7gg4A38aul3Qk6UPfRa6E7oa+gfoX6HXc+bk +Wede9DdC10P3g55CvHOQryA/88hZFbx3ydHb+OtGzJ3gemQGI3sE/o3IzuLc +gnw7+fwA/lz4Sa5lGsCvY+NlfLdxXgM/x11f+MPhLwT/Fjk21YBq4VXOS9BH +OavAM5CJkR+I/CzwVeSvL7GMgn8B3+PxSUmEnvifAB7K2Yp8J/bKwL9Ezr1y +qtzenXFt9UenFv0zkXOvnCg3Tfgo7eE309s9Dd0He2XcPQuerxhyLdMMfiY2 +T2946S2Jrw7+GdUneGbs2FvJ13D4tdBXQ0f4nIq/T4nnDPX3AvrbwHsT98Zh +vucrfY/ySb9c4G4YeHviXqrk7hvwvsRYMpL9PXIfqsfUaycTv516UL1YQbIe +ujyE3txdR89MQ6ck1zHVgXOIeRj6+/GfC96J/pBe9AD8fejvgP435btd4Efo +v3L67xD2zuVYRrI12F6A/oLYb60aVC1eD704zzZGKJfYqMX/Ye56azaUeBYk +8Gv5lvnYX3SZ31vvfi5ybatmVbsZfLTl+nsS8ARy2Kb35UzF/vuJc6kamYLt +TYAmbPb7vwdVw6pl1WhdiX3K91Ls71SvxbalmBV7VeJa04y6L/EsGkE+d+d7 +Jo0iF9vwUVDonKhGFXsOuCtxz8uv/Pch3tHQbfhvwf5n+FtHbI3YGIz+JPx8 +njFPNafa+xJ6RZ5rUrV5V8azQDOuMuOZq9krmS8yngmaDSuhd0Mf1VsVO4bF ++NiV8bde4O3GYm9PxrLqUfXq9NizTTWiWtmM7g70XuF7G/i9gW8v5X325DsH +mgGaBSuw3xK75lX76ump4Bcj995B7pZEnsGaxSsVI/JDsbVVNYXtvdh7nng/ +gq7o5bvxWc9y1egM7HXBbyemfHibOXHWtTCGu7VZ636XdqyysSyyb83QpeBF +WffqpR4EbyhyDPKtnbKx2D5kW++4DFzGXRn0k8R9KvHbakZqVs4r8SxVDaoW +b0b+YWyeJb8HCpy7idAHC5zDTeCPuRtaaJvHiGl/yjtFu2VwxrtJNX4t+Mqs +/WrGZMEnEveOdtpxcAP+5qfd26qhDuwdSHknaTe1RJ7t6rnl4L8Tz0rtwPOK +P+0aVO0NQf+E8pXyDtQu3ILPd4ocw+rEb7++yLKqgU7kD6W8Q7VL58TehZrh +muULs54N2una7X9FrpXRxP8nuDntna5drpyoJlWbhdio1KyNPQu147Xr16Dz +c8o+uyLvDO0O5bBd85W3uint3KtGRqY9szSr9AaLit0T6gX17NrI/x1kU7bf +5PyUcg5OKl+Ra1U77zx4deTdLBnJjosdq3awdvG82P8dtBO1G1ULu9P+76Ka +0E7UbtQbHQensp692mHds/6Pof8avbBxO/i22Fj/CfTfYEDi3aGd3R/8H+Eu +T/E= + "]], + PolygonBox[{{6096, 3659, 3448, 2846, 6171}, {6173, 2847, 4521, + 3502, 6040}}]}]}, + {RGBColor[0.3284250725, 0.36217293250000004`, 0.3856989525], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNnAeYVEX29m8PM8Mwfaf79u3p6VFRAZGMgCBiwrCuOSPmhJh2VYyYNhl2 +DSsK5hzWHBCVNee0rophg1lRQaI5rQnQ7/35nvn4Pw/3qdM1detWOHXCe07R +e/8jdprUkCTJ281J0k3lXm1JMraSJO+pclxHksxV/fHVJBnQpDrRuzUmyVDR +H4reW3Quep7obUTv3OH6E9R+mB79S35TS5LtVD9b9UerYlvRW6v+KNEXFpJk +LT076fenekYH/XHi+h1VLtYzSvQOKs8rmKZ+fIe/e6L6OVd1I6PNkCaPeS+N +Z7DoOaL3FP2jJjdX5Zma1wNqO0bPzmq/TPXzVT9F9acwRr0zUL8TPYv0TFP9 +54nbj0tMrx3vXlLwmKkfqPfe1/u7653tO7xWx2hsO3S4/ljRO4r+QPRk0YOa +TO+h9jt1eJzHqX5h4rlsr/JslWsGPUfPcNHbqLxLbfdv8vp/rvH/QWM8SX+7 +Uc9Bev6sNme1JsmhottFr6fyKD27if5O7f+s9r/T7zvVz4Qmr9UM0fs1ea3W +19+O1rO72k9X/T5Nntft7HmTeeA21lj0rqLvEL1vk+dyt977rZ5H9O4Mlb/R +M0P07SoP0XOt6FtUHqznfNH9m8wb9DM/8Xy3U3mmyhFBf5iY3lbl6QWvA3RZ +5RYx3z+qj6PUVz/1c33UHwdPwYsqx4oPz9aaHKb6Pvo9RfTh9CX6HNGTRI8V +va7KI/XsKnodlUfo2UX0RPV/sPqvNnoN32/0OrL+7zV6Dxaon9mify/6TtFX +xZrfJfrqWM/T0yT5i55r9XszPdfFOM+AR9T/ML3fQ3XXsF6qv7do+ifRBxT8 +HvUXcM7UfkO1PwfeEb12o/f/plgT1v7OWP+b9c37i+aRv8KDaj+y0et0YxfP +qM2ZqdfvRpX3FT2+n9T26YLP7dVF0z+yJi3iQz3P6PcGev6hZw/VX6v5Phv0 +eNGr90iSJerjfPV5np7p7G3N/Q5XubPajNPzlOoPLPj7rMkdavtQ0XyU6Yxc +oXGXVe6k3w/qWUXP3S1+7wO1n6bv3KvfB3fzeees/77gvTqr2fP9qmb6S5X/ +i/1mr68omGavv4q9h76/YHo8ZyfOEnt6gvo4QuPvpT676flYz4WcK9UfqfrV +GpfvMfu1n+oPUn2u+jTqmeOfkROqH6L6keLV3qqbpLFdWfC3GBt8tH58d7La +T1L7lRu9xmNjnW/VWj1Q9NnaquCS87VNwWePc3e72jxYXH4Wp0c9Z/HWaL9d +wesNz0xV+3NT/22KyrNT89bRGsPhGsOKGsPSxHvPGH5IPE74/OrgCejmJu/d +lshT9Il+r9do3jow1uEylRNDlq6ELA8ZMiDkzUda2/u0Lgfq/XtVFlS/f7PP +I/3T96IGyxNkyWLRA4tuNyrOKvt/Q8HnbLjov4nupTbfiW5ttDyjPEb1p6v+ +S86inm0177rKk1V/WJPrHipY5iMXP26wPEf+fdJgvYMc/VT0WPFjP/3eCh3U +6H17V/U/NHr93hE9TN/6WfTWrGejeQf9u6zR8ux90UsazWuzRY/pniSfMW89 +jeq7Q+UC1Tc0eX3aYy22jHH+Or7/QsH6EXn/WYP1+C86RHRTk+e4sMGyYVSs +1U+N1ocfqP7QJn+TdfhNk3XkH0WvVvTcUj0TmzyPF1Xfr+g5lPWsXvTcSo3W +M5THq025u/UverjQ3Tqas3uQ9nglfXOuzsSEmmUPtsNY1fXWHPn8AU2Wv+i+ +hc2Ww/ye0+DzdHnBeqlN9HGi+xa9jvxG7zGuE1Tfv+h5Znr6FL03ReyH7j7X +nO/fNrn8U8H7xz5OEb1yd9sJSewNezS14H1lf88qWGfS37GiNxcvVRo9ZnQ4 +3zwR2ar6Wqznlqn5Gtm1RWqZgb7eJvVeMwZ0Mus9WfQirc9pmv/CmnmA/Z/X +YN6nnw9F/5V3Qp8uaLEM30vPBXomFGxTTVO5X8F21MWMr2B7bG29vydyRXQv +0bsULKf6it61YP36smTvS3r2U99XNvucwH+j1GYP5oT9Inp35pRY3vfX7930 +e4z2eAPVDdX4z2HPCrZ5eurv4wu2I2ciG0ImILe2C9l1RLP5Et59M/TCTqH3 +dgg5dliz94+164x3qb9PY/in6CXoymbzNHtwU8hQdCK694CQ4b1iDC8klonb +hMysBc14DlI/h8Qe5NEPbbpF3/M1pw81z5PVbq7KoUWfvU2xnWqWaXfVrM/H +qO5mvQ+z79tsPlimMX+v8nzx+fSa629XOajovR8T9sd5+vsbeve3+ltfxlSz +jOFccD6S0EVzsR1FbyH672q/odq1qP0GyNqaz9rEmr+5V7N5F726doxtUV3v +ac9vVLlZk8fFd0+MOd1VsLxfX/RtyJ+iZdZGjbatsV/uKNiW2SjoHTs1LrXb +vtM69VfRzxEaR390j8o1ipb7jPt1tZnazfINO369+Nbgotedb1+m+s1jjox3 +pp6D9M4BLbZjsBkKWttEzz0tXivO1JDQAbMLlqWzM+mi1PZxd9Hry19aR30f +ncueyHzebylpvURfrO8fq/rvMsuKt1UuSm2L36Q23+j3hcge0QPLtpu3ku9V +bvPabiG61GY5vJnotjbrrFf13rzUtukbohektlmP07d+yCx/sDGx4dCxJ6h+ +ierPL7juJj1tomeqvFvPJXou0nOxnp600ZguTX3mePj7uGhPfe+CbQFsDuyM +bTS2rM1rfrvm8pO+dVnRtiR2J/YltuSN8d3TYwyM8SSNbZnaX1Rw21v0ZAXb +qjcHfZv6XKo2l6ru92r/M7TqV1W5kb67sdY/Fd1L9Kvwj8qBFev8caKHVswX +fbXGgyq2OVYXPaRie3kntRlcMV/vLHpYxbzZT23WqNg+Gq/6ERXz4w6i+1ds +8/dRm16i/4UeFD2gYnkxQPSaFdvg/UUPr9jmuktzulPPhallFCVy6oai9+DO +aHNR7MVOeq/aZr7dQXTe5rOwnehKm8/L5lqTJtF/Zg21Vt+ynurvI5XfptZx +W6pNs9r8RfQnqv8+td5ZJPqb1Lp4rujPUuupD0R/ktoW+knjX1HvPi96nuq/ +SK13Foj+KrVuzUSvrDYvsS+01/he0BimazyJ6MuDpy4L/sHeow6b70K13yo3 +b6AjrihaT4wQfbvobxLrkSuL1iUXlD0f5lJX/1uIvlnndqTofpn9EPQa/IJu +Q69dUrRuW1X9TBP9tvrsUPvN9O5Nevf8steRNRykNrdh/+H3i75D9PdgEqKn +i/42/NAZoufiP6a2j/+m339N7UddK3paahv6uqJ12U1F67PL4hzdGL4UPhW6 +GJ3LuUHvnpH6nFxTtM69uWi9i869pWi9C+5xt+hFgRXcJXpB+M53ip6XWMfe +WrSeRY9fVbQu/6PmWqjYRkLnIqvQu2cULJP2VvlrtWnUnp4m+uGi+Rae/JXq +u6n+1ILr7or6Dq39WNVv2BDyI2TLKwXLmd5Rzgz6rDjvZ4bvgjypqv5W7cuP +mffskpBRLxd8Ju6Ks3NhnCPwBt67Ld7FX8HPwceZEvXIKmz4vVLbt+BOf1ff +nyT2HS8o2n/sp7+dL/o90auhQ0W/m9hWXRo2OXYUZwtbaqh4ZoOK1x8/FX91 +hYK/Px1brRD+VtBTo54x4gvPCH/4jqB59///5izXrHNvUrme1nVlfWtog9d4 +1YrXeUTs2baBD8GX8CR7SD08wDngPDBfeIv5Y9ftHe15d0jB+ww2gs17UbP1 +blE296WiWzts+6NHsf8HF7z/4EvNHW7fpHJowWcIXGWtOIfYlk9qDK1N9o/A +8MDyPoo2F8bYRsVZxf58TO27N9mPAxNi3bcLHOjMmBf8Ct9jK8Ir06JPfAnk +/R8KPv/nxRg4W5yxz9h30cUm+2ij4+yxJk+rPm2yfzQm5BQ+KW0uiXcnBk39 +PjEexpaETYMNj3/GumFzXBrnAF2KjqfEjn27YHwBbGGQyvv0vCn6nYIxSjBG +eJyzB5/j35zebIzo05rpT1S+W7Dd+4/EZ6RLt4yJfr5IrGPuju9e3Gz7jP29 +rNn2H+N8K8aAyJ7RagwC/OGOVuMj4CFrFCx3wcoGyN7v38M4zjCN4xHVv1C1 +P3R+s207ZPxlMYbH6n7nkbp9KXQpvgz4D/gQPgC+4NRm23DP6N22JvunhQ73 +maj8Tt+aIvrbmv1FaOzRpTW/u0Tli/pGP33rYZW9dE5X0nmZVfTZhZeQk0+I +7tFk//0K7LLUvhI29NGpbTD8YOqxwbAjj0lt51yZug1+Vqf6XlnfeF793aTy +gNz+HTpwlbL1IDpgamAplNNCJsyI8865v75ouYB/Mz1kAb7KVam/i++ATT05 +tQ1wNbo6te+P7QyNPbC75MOYin3Qa1K3R+5hY46qmAd3UZuRFZ/n3qpfpWJe +HCR6dMUyZHroL8Y5WPXrVHzu9tC761bsB1+O7ZnajwBTgcZG3VVt1qrYNj9R +dvyjqpsl3thT9etX7CsPUZ/rVbwXa8ZZXhC+FTLyF/9K5QUhG9GHZ4QNeUvY +lmeGrkWXXB865a9hN94Suhiav9EWvBM8sl9gkhtpHP8tWP5jH5wb8mdk0Mh2 +dOM5QT8uuqXJeBRtzgn5g+5H3+A78qBz8P3QP7eGDropdDrj/0xz714xTvyp +6KaKz1wPrU9DxeftE9V3q/j8taq+seIzWRTdXDEuOCN0Cevzudr3qBhvnh56 +8NywIfgueCQPdjf4I+PBJv9L6MkpoUMpzwk61bdaKsbz8A+QL9iqA4r2Idlz +9pX9fVRn7UFV3wbWiE6McrqeB9jX+BuyBpmDTYtddEaTsR54fP3wkdl7/Gp8 +52vAJvScp+cUPUfrOUbPqVEeq+dkPUfF35gbGCs+O/w4PPzch2Msd+iZjK+u +5+CQjWCOYAJgyoz12Wh7lZ6r452rYyzM6cr4G2duo8DfmNsV8TfOLVgDmMCB +geuC72Jbnt9kDAT5iN/LmeWMbhr4G3IZ+cwZnxBxNOJp2IFnqX6V8HHxq5FF +zP/AmA/rcUD8Bq/eLerBI8Al0Ilbpf4NfUnYVvh38CuYBbgHsm1M4EilsH3w +ETZNHJ/7VehuaPRmW+Bf+ALg3+h6/E10OjG8LnxpVOho7ALe/yT2lb08Lfb5 +lPg9NfaV34vkky/Uc1GT2x0be8h+T4w5gz281WD8gRgK2HQXLr177DXnn7gR +mPPhgTuBPyHjRwVWht9xQZMxK2z+C5uMfREX2CW+dXWMb1rwwbnxm70/J37z +/CnmgN0+Rf30UfmbiEkRm8I+n6b61RuMIxBLAY8ixkiscbPEftdzepaJnlm0 +PYNdg/+B/YYdh78yKPA1fKYRgbvhr6wV+N0m8KCeUbF/lGsl3lPK0bG3m8ae +4vfg/+CbYC9jp2E/4nMgG5GX+BnYP9hB+B/IcOyyBZrbQM60dPH8que3SMbi +vKrXYEG743obJbadiP1tnFiWMue12Rc9N7TazsTexMfD9sAGWaR+RqJbao4d +/zqxPbY45rZj1I2OvoirMn9k+0LWH17Vu4tFj+bM1fze4miHHfRWYnts9eQX +syOpx5rxu5+eQXpW0tMzvtNfz4D4HuVAPfcUbStiM97YahsbW3u2/raanhF6 +1gy6b+KY1K5xfvGlsd+aC8Yen08sw9aK7/eP/ewbY9o4+hoZ69rV9/tBb5jY +18U+x06/vtW4xUA9KyS/QF8JYn3FKNOYH2VbfKcWa/G6nu7x+50oV4u/Ua+j +mkjtJz2i3zGxHoOiXDH6Zp1WiN/9450VYn71+F2P/ugLfTsydDH4PbER8A32 ++tMu3i1Yjj8bY2Kt8Wvw7foFZj2hPWIINfsqs2ONkP28e39iPYcdDYaDj4iv +iB89ItaU95A5YKPInbFRzzoT08N2xb/m95zEfwdL/DLwRPa0T+wrWECXf8D3 +V40xIMN6hC4jPgl/dMUoWwr2HcBGOAvgEugQ8GT0yOshB/cIvkHHYf+DscD/ +4CrEH4h9EN/hb4yJtn1ifGDd2K7YZOBg+JT4YNiBXdg38vvWVmOQjPGA4GN4 +eEZ8F/15TbS/NvjnjeAVfJ83g8cmtlvuHlF1HWeQ84Xv+Vn4n/DNm1HfHn3B +f8RDiENhl8Iby4I/+B66mO9jY2NbHxJj6gy9f3m75fAVKvdvt36eVF3O33wH +3GjViEkc0G6dcGTV3+cM4Z78u2DZwZzWb7Bu7VswlrBaxE6IBRFjwj4/NM4f +/RN7/C7w7MNC5sG3h4fMGB5rxveag6ffCR4HCyA2NiBky5B4d1Kc9bHRdnB8 +a07wKb7/3s2OpYHtY8uAz2PPzCoYU8AX2CixvOYd5CPyFHmD3Yu9e1DwAfYD +fIE9j0xHnuNv8XtB7BH7Mzn4iD6R/8VYD7DHi9utKy9p9zfmx/dbY23AJIkx +/hyxjD/Hd7ELGO+cmBf+3r2txoTRKehT5ARxe/w+cHJ8U/xk/FPi6tj2U6KO +9vjgYAP4//j+5AeBD4A/Z3FuTozxMBbintgW2BjYJ6cFzRjxU/BDwJ/JVQF/ +uCjkGeuJbuI7yDF02RD1N1jP14lL9CmYJHYKsT1sldtaHU8gVwA7H/v+gPiN +/YcuIUZCrISYcJddiE3I+NIY7yFBYyMR2wd7+SWW0eo4AzkQ2IPEmLAJJ4YM +4qzzN2hkEfY7MRds+E/aLWfQtx+1e/zYBZ+1W16hwzcOOUUeA2PCVmMM01uN +424QY1oaY+Q3NPbciNQxPHJQwCHuibgm9j7CHZv/9lbHashLAP9E14PlXtBu +W/pClee12wc5X+UX7W6DXbC01bFzYkucBeyvbRL3xTixrT+s2h6f1+5Y9S8x +a9H/TKxL8IfAL4izwyfgX+QJYCfvV7M9e43ab91hm/Mq0dt02Oa8ut0yb/OQ +ey+o/VE6q8+rfELPoaIfV/kPPZNEP1OzX0q+BOcI7IxcCM4LOqoSeorzzbvE +Q7fqsD9yZbtj48c3O4b9as30f2uWqcc2O+Y9q7vjfMQX0S3sHblJY4NG12Cz +gGFht4BLvRv6DJoYLTjVGjX730NqYWsVLOvB/oeHbnql5u++XDNOR04FPgjY +HDkM6P1hYa/THnsXGv2xWLwwIWJ8H8b+ss/IV/YTOYKeZN2IHZO3xZx+H3J0 +cshS7KMNGixvwbU2DIyPvEdyHtdrMC4HJkc8CDwKLIpYEnlH5JwQh9ok+n0t +cd/Q2B8942/Ujw0aHoJXi83mRXhv3QbzH3Y89jy6h3jIqND7azSbZu5g/GsH +n4On4SuCh4Lr/ipwt4e1pofonYdq1kXwFfkKfHPt6B9cjPwWZDW+F3kDY+IM +jYn+4dO1wv44qeZxnFDz77W6bJKa+90k+L2rDwxDfJ4fY+4bxjrMj7PJGb0p +YifUY7sRm8Z32qhmn6LLt+Bv4PbYdtC0oS00f18c+v3y0C19o83C+H1x/B1/ +DJ8QPY2+7p3YX4EmFkD8GZo64jB9ox6Zx3rWgifgDXQBthWxfnJoDq1ZViAz +yAUjj5C8DmwKYvT4+fjo4Nf45ugW3kPXgKuCry6s26YhLwjdQWynf8z922bz +HP3ir5NHhA+O7hjUbPl7ZM1jxw9jHsyHOXLmhjT7PMFH7CN7SM4j+TjkojBG +xsocjq25z6Nrllucu2HBo/iqyElyjl5rcFz+PbX7g9rPVnlVs/OEWKN1g7/n +hu6eFe9iu9GeeSIfsKvApclHGBtnhDMNb7Bu5MK9FnrkXPHVf6If5sTcsOew +xV4Je2xgnG3ONfEl6vk7suulsAeGhv79MvQv+njzoIeGXiYudFKz1/qtmuk3 +a5apg0JnH1/zOCbX7J8PivGwfoOjz3Hxfezt8cETzIu1hiZeyZnoFTx5c8QF +qecbg2KcyCBkERgs+Tjgm8Oib+xR+r8w4mZduBf2/h2hq55LlusuSnwocLzn +429gYg9H3XkRpwLrYq/Jc2O/T01sC4KNdGFnvNeFCXZhhA8my3FBSvydB0NX +4ANhm3f5DVf9nz6wmwZH7ObciPWBF14R/dIffsY1MY6pMY6rYkzXxO9zow7M +BptuSMR9zok6+sOupI/Tou72+AZ24oDAgbElB0YcAZy3KwcTDGxQxLywp/pH +PAveXCP485QYE2NE1pLXhbwFqyZvArzq2Pj+qbEPD8Ue4F8OjfjIn2I+jD0N +2xO7CWyXHBAwUfDRkxO3fS7Wn77QV+QbEe/AVuVbvN+FsTLGo6Pk/aVV69UV +O/17anx7WdV5NDt0LrcvGTt6m5w/dDe2Dzl52D/oW2wJ8Dp0MrYWsgKbhVxM +7Bb0PLl66HrsGnLpsG3Ia0M2IZewa/BfiLkcGN/swkGPSZZjhJSsAbYYuXfY +Y8ggZBGymnwo5PLvwpbBNsW2QaaTG0ZcD/8JP6pPYjvpiPAj0J2Hh82MnTQp +/AjwJOz6TRLb9eBqYBTYHOStEUslT458OfKLkCNHBnb6v5gD/n5L2NjMA78E +/wBfZmnsM/YwuWo9wh4DYwFz6cK+8MM2TowNbZIsx4ooN4p2m0Wf5EaRV01c +BDwD/xHfE98frBHfak5iHh4bJb/hZ3wL9gC/A79tu+h/dPTN3EdE3YbRN9+g +n/6hq9FlXRglY+3CKPmNv7htvIv9Sl4fMUTscXgOm7wLg+Obq0dfXTjZyGQ5 +3rZmjKULj2OOfUO3o9PBGf4vXjUwWY5XUXbhVZRdeFW/+CZ666jw79DhR4fP +2BF/78LS+sZYeoVefTv6Gx3zfjPGATbShccxltYYB99viW/Td49kOWbWL/pg +/l24Hu+A8e4Y69k93mMs5LodE5gVdmjP0LPoE3Km0SnYs+QHEw/Fr8SnJI6D +/gIvAkNCt4JRgDNcEPEpcBdiBPgYxAl2b7cc36PdmC53MOCB50J/w0trdDrO +NEzl8E7nc49QWcuk68q2yz9MnQ+Hj7pmp/MgR6osk6dUti3WIMPhv5m/0Sn6 +tcx+Lf4ldxXwWYh9UocvS+wNPAssi3gbPjb+NDgMGC788qP67t1mm6NT/W3Y +Zl0LtsrdEngJbAeMlfWYq3H+JzMew52IneO+AzE8fFR8yk80tmFlx0QWlJxf +As75ZIftBXCp9+vOAf1A5Qclx2XB4pCjL3c3HvlhybFV8JYvU+dpIW/5Hnm3 +YJj/S50fhlxdqLZzcseTf6fyfv0eJzqvu8+KygbVXVcyBvZ16rwx5Pki1c/N +HWfuJvr6krGuxSrXKDvWg2/1QnfL+89T55Ch49CDYPrIj3dV/2LmNbsnc34k +OSz3Zc5pI27/QObcSuKxAzqdUz5Q5QqqezPznvXrdJ53/07HecfHOg/pdJ73 +0E6v/fjIOejb6fz11TsdZ+DeFHy7bUUypeT8ne1FLyk5x2dH0ctKzsnYUvT/ +Ss5VXFv0lyXf13kkc84ieTd9Op1TvprKzdXm65JzIQsq/52ZV4oV5yziJ7ZV +nLOIvwYGSPwDnfMP5pg67vMeMbvMf/+T1v5BrfP41LwFvo9M/YPqH1D9zqr/ +mby8zHP7p/p5O3U8Iq049xFf9VnVv5U6vlOuON8RP7FUcU4kPm9rxbmP2JiD +Op3fP1jlKup7+zb7zsQ3uGeFfhwXfI4/9YH6/lfmM4Qh/0rmdlurz+9Kzv+a +XTfm8p7KT1PnI6LrX88cCycO/qzolUo+M/8U3bNkrOiZzHwAD/xD9Ioln9sR +ojcTPbfV+3ZE7r17OrMs4Mzfpb4n5dYj72eOoxNDfytzbJ64PGP8Te5xwheH +5uaNGfr7Ybltg5mij8yt039K3e8v9wUyx/uJ9T+td19PHSN7RvQbqeNo4D74 +UZ+2m9cOz81vNa3rgJJtgy8zrx3rdgv5qmXnL3+ReY/Z35NU7lrymQMXAx8j +nlhUm24ly9aVtGfziP1onSfkzoOEb3bTu2fkxoi+ziw3kZn7qa5WsuxbWeXa +JftZq6gsZPaD2tucR4IcXVd1a+qZH9gh+/ZLzCIz38Pz9cy5m5z/VVU2ZvbL +nu4whkEcgLNyYO7zwjk7OPdZ+y51Div226MdxirA4x/vsC+1juzQb0rO9wVr +/SF1Xg724eeqH142lvtVyTm74KULVH6QO9dmvuj3c+f4/Ig9X7ZNuCz1frPX +q3T67tCqnbZbxgWfLyV/p2z/fXjccdtf5bcl5xyDk/9Yck4wMYjvS84zJray +hDyMsm1avnlQ7u/OE/1e7hylUZ3Oa19L5eLU+ejgm4+ozZm5bb/ZJefx4FN/ +nDqXF1uavg/J3T9n6L3M52hh6tx0cGTOzTuZz86Haj87d47Pw6JPEb1LarwS +HOfLdueFcP7AZZHf76SW4Zz191Of956i+4SuBNMEM/pc5eK6/Qj8CXTjnJBh +yLbZqeUb33yo7O8+lDk3lFy/Jej/NuMH+Ba9W5yncKz67Cv6GJVH1V1/ZN0+ +BPXlsP37txi/nxy++VPinePrrj9O5Ul6Bok+se67E2Afh9WMd+C3P9FhfY+P +jZ2ML1JpMVZyeNxTOKpmDPLluBdziPrq5K5B3e+9HO9uEvjYYx2+dwFutXHN +79AO/31fvZPr9z4qJ+lZRfThddvq3GcAG8q1Jg+XHGf4DN6uOv68p9plarOH +yna1ebTkmB53JQtx36Gi+odKjiF8rLJP1TF/DE3akJdwQuB7z4BVq69N9N75 +dd/T4L7GSZ2+B8J4PmKurf4G/ePzMea28OFYB2I+h6rdSqJ/W/c9E/Cdg2vO +D1q/xTYmPjFtuu6X8V3iLWBlrAl4Gb5UrcVxwlk131F8UeVaHb4vPbrDmPDM +8GtGdvj+86gO+zozYw3ZkwnRZkSH70Wv2eHftPsgsV1xd7RnXZCzyNjXar4X ++jr4p/h1zdR3Sxo6fF+3m8rhqWUv31hW833In1jX1HXs+ds13yN9R+W/ar7z ++e+aY1n8HX6YoPWq0r7umAdrDI76dc33e7+p2ScutvhO3JS61/NslQM7fH97 +UIf9Wvohd3Ui/MGdXpWDO3zfe4jKA+te2wPq9rdoQ/5m2uH80Tbyfjt8V3wN +ldUOY3ztKrt3ON+0ReWwDt8VH67y+5rvLf+g8v2a729/oLLS4ftjOftV8/3Y +j1R+VvMd6c9Vzqv5rv58lY9lvnNCbu98lb2qzk/5tGQ+hofxXTjLxIX+WvU9 +w4PU/6lVY6b7EgOp+i7iEaL3bje2sk+7fZ2hLY65nVT1PcNd1ebyqu/+nSB6 +z3bjR3up/EPd7X+v8sma7549RW5szXfMHlU5s+b75H9XeV3V9wxPUT/P1nyf +7Z818w33mcFT7qj5/vCMms8T9fBdIc4X9P013z17QOWO7cabdlK5a7txqN1U +lrCR4h7HwpLXi7Wq6uw/UnIsd8e6eWYHlSdL9na2+Y7c/NR3jYjxd1O5Spsx +06cy56aDh45vNxa2i8onMt/9IP+XfMYZJftV49qNne3c7jPEWcI+5x7V6pnj +AdjRE3Pb0rfUHJ++teb8x7tL9snISby/ZP1DLuQ9JftSH6lcVHKe1G1V35U9 +q8NnhPjF1om/kYRMewJdWXX+xWOiB1Ttq3ZoTR4vOQekXnY72kzTumyofqbW +LS/7Vi0zaTuw6vasZb+q1xM8CdkLJl8r+xv0zxh7Vz3OL0qW18jq91WuUnVe +1VzRq1adV/Wu6JWrzvnau25ds1fd5565cPbBzxgbWCwxFuZL7hbyvn/VMp+8 +V9Yc2bVCq/Oxyd0k33CdFuePzA3dQD1xn0Wxbifre8NF/0llqe5YYLnu7yyM +NtgFCyNOhC5avRr5uXX3f2bdWCP9EE9G7i6OON2EoJG1p6vdaNF/qTtHEprc +BHIeR7Y4znxa3fSpddtZxICfjnmhe/hd1hhGl4wxYpf9Nrdttq/K9pL9K3iW +XHBwPPBs7G5yfsBxsfexzcCYsfex2cBTsUmxLeFlcoLB+o5T/yNyy3KwW2xV +7D3OH/cfwPQ4l9xtACe8Hx2RW0/8K/f9LnI+3xF9Wdl3aiZJpy5R+8NVrln2 +fTDwlnfVZmQ57tQU7NOQO7SfztG4inEZ/r5zxW1e0jfqVeNayCruOYBHnaA2 +Y3PrpZfJI64af3tbdZeWnVe8j/rcpOJ4FGPfPvX4mfcOqef+Su47aeSyziuZ +d+HbOSXzNPzMem+Se81f1Hu1qvGuTN9pr5pXt1KbDXLrSPAh7mmAoU0r+94R +Pjo+Dbn2yCX8kk1z+ybgEx1VYxTnlX1/CX8UWc5dAnAt9nnH1HsN5srakpMF +btFZNXbxIn5N1fG9WQSdqo4HclZWCL76QX1/k/vcvaA2P+eOybwkuqHqOOSH +kmdXlB0jmCP68rLx//miryw7XpCq7de5Y6nwwkll80OL6r/MHdee1un/R+Dc +un279TP7d38r+f4hcaxWtf8qd7z1Bu3D8aofpn6+UnlRm/GXtrrLKZ3m08ll +8+rz6uen3HEn8gCIXX2s8kT9/caK8yxWU5sfc9s5+6isloxtDWfeFds7A1W3 +JLd98nNqfxhfGFmCTEGX3YtOLjlG/ZzKZbljvH1KXlPWs6S5/C93rCwX/V3u +uPenmve1Zcc7Foq+quzYymLRV5cdD/pY9DVlx3GWlnwPk7M8S+NZmjuOnKH3 +c+cL3Kq1OTjz+r5XspxFxoL5cyefPJa/lT1Wxvm6yh5V59XOhMdLjsO/UfIe +sP5vl7yv7Omdou8oOa+hVPa3+e5bqitWnWP7Tsm/oXtrb3oT2+t03+Wq+7+u +bD6Dxy4RvW3uexltZa8Xa8V53S73mUV+bJ9bhlxfNk/Dz8RV6J9cqhtU/3LJ +MWTG2Fb1OMtlrztr/qrWYIfcuD+8PC43P4Mh7ZUbRwLD2CU3jgFGtVtunIr9 +2TX3HoF57Jwb92Cvds+9X2BOe+TGnd4seX1ZW87H+NxnhD3fO/e+v6b2O+XO +N26CP0vOzWwUfUPJOZ7wV6VqHntN9H9LzomGL/bMzRucxR3ziMfp7/8qOYea +uAx3Bcmf7NlpniWudbHab5P7TgT/P8NuqfOvyKXfPXVOFDIGHA45w//bsGvq +HCTiU/y/D+Aq8NQewVf7ivc2rThvDEziVxXjEsypZzVyTovGYpGBYMMbV4wP +E/vg/4MgT49Y2JYxHvL6t4rxEM/aIsaA/tkptQ7aG6y64jwC+tgz+kEngBei +Fy7St7bOfXfmpdz30okPvqK/r1S1H/RqyXIKGXWf6GrVd1ln5b6vTryAmBR2 +HBgLePCGFWPCr+e+98tdGPLZsYOoJ1caO4h1eDP3urPm+D7IM/yfEcj2imP0 +L+e+f849iLdynw3OBbywYtX88GLuu/TELN7IPTfmhewbHn4XONrI8Nd4kMH4 +dci5v2eWddjdE8PeRgd0hu98gfp8quz7pWAo4HzEodbt9P9TsJ7KMZ3+vx7W +UXmO2j9eNt9gT4MvEi/DNm/LbJ83ZNbl6PGP1bYlc6ziPL37ZNl71heZkzn3 +4SzVP1o2z3FXuxT9YL/3yKwrV+VOVsm4+1S1f6JsXvyvnlmZ852IYwzMjG2s +o7bDRL/dauxwhcz44eYl46pgqmCBa2TGA0chbzPHcMGkwFCJS3JHf3DmeCqY +Tf/MuA122ZDMttnoTv/fEGt3eoyDMo9zkOiVMseF6m2eM/M9W+N/rOxzeH/m +O2nklT6e2V7BVtk/N6bJuWMO/P9cYNT3Zr4jR74pem9+6D74ALsDW/REcMey +z8wu+uZ6mfMbJnBvLnNfD2a+z0Y869HM54oz9XDm/0ePHBwwUNaJvIjhqn+w +ZJq78pXMuSbgu+2ZMd4nM8sFZEJP1qrk2PRKbV5f1nZ15FXqXJt+JZ8HzgLj +mx/fele6fonod8DUy76PR85bVvHdP/IJyYWjDbF3/LlqZp+Ob+aZv3uM1uHv +Zdt8YPxDM6/hKW1eF76JzfhZbrsRm+6T3HYd9uanuW3O/+j9FzLnBDL25zKP +/9/qo7nq3BXkyue5ZQt6qVvVuok1ez7zvPqCM2fOn8fOWpjb1lpN9b0y36kl +JtCUGZecWfX/5bRdp/VA96p1wSuiG6uOhT1QsvxCdv07NZYKjsr/J7Fi5vxh +9ENT1TqiVDJfwpMdbf5/B4glvtolpwq2NT4Oe4P5fZF7jut3+v972qDTmOjK +mXFR7KbFYTshV7Az8b+eKlnn7RN2VGfUX1q3zFpZ/TxZsp5GR09WH/eUbZdz +dseUzPvY19/ntrGPx7cu2w7Gtl2Q277FvvsobDximz1jbEMiV3NW3Wu2KPe6 +NWeWTcil/wfUaWkg + "]], PolygonBox[CompressedData[" +1:eJwtmmegU8UWhU9C7gVukpPc5J4ECwhK70VRKYLlWcCGBQsggoIiSO/28lQU +FUF99mdHUQRFREVQBAtiVyxU6b1ZUGm+b73Fj7nsNXvPnjkzk5m911Cr96Dz +BsaDIDiRPwn+TWaC4IZcEFyQCoL5ySCYBR4LfigWBOdTNzgfBJ2we7AkCM4s +BMHGiiCoQ9sJ4E3IZdhfl7Pth7QfiP3p2E9E3wn7yuhHoD8X/fvoH6TNOHS1 +sOmD7Tvob0T/GP1diM0vxSDYX0b7SkGQRa6Kfgz689DNo/0Q2nSm7cYqQTAd +/QrKPuzvx/555Lexvx77R2L+pufprxsfuqoUH4znZkolcAXtr8B+Pfoj+Z7x +jGkD8su0v4f2F9P2DMpb4NHgiTGPYSI2d2LLMIJe/OmLjyT+quHvauTq1YLg +SuSrGM/hyFVoP4r2XWj7AeN/EzwcPD7mOTm3mm1Xo+uCPA39A+i7oTuTUo7P +LysHwan0WUbfVRn/afT3CN+TRL4O/dHgJvR5A/IM2g+l/Tj8n0P7G6k7Dn1z +9Dcjj6E0RB6Ov3b4K8V+WM62cxnDRfjcgO8djKkrclnBfW3Hxzl8bwg+A/lx +6rLImYLlUvwtRH990WMZAW6P/x0V3jutmOPtyNsok8DNwFuRJ9P/OPq/iP5P +p5Tg7yH8baGPM/A3iHJG4Dad0Y3Efz389wY3ov0HtJ9A+3X4u5T245nDz5iv +h9JBMBV5GO1X4K8+9sOxf4D2nfF9Ej4mIb9O+0m0707bsyjvgm8Gf8L8ddWe +Bj8I3hC3zZW0iWjbX9+Ev3noJ6JfH/eaTSza9xXoG6OfiX4k+vtj3gO7qHsI +XWvsdyLPQX83+tVxz0EKfFPOv4UFrMcz2Fyc8Deco+/Pey83wscodC9QuqNf +Td356EflLTdGPxpdgrqTE57TUuQ7Gd8p4OMZ4zjk+ykdkP+FfVXsn6ZchH45 +9mdjf1XRe7sH+rroFoH3Sq4aBJ8j34VNacJz0gc8l/GPZ/xr4v4NjYm89k3x +NxZ5DONbi5zDR0/8XUubGrTtCa4PHgQO8VeLuiHIL9KmO/Z/UTebtpOxOTNh +HxfS9xxs5jC39RnPXORX6P9e+r+EvjvpzAHfB14bd92/sWmN79H01xFfr+C/ +J74C8Hz8343+dPy3w2Y88lJ9L+fLn9S9m/cZo7NGdcuQR0bey43xMQr5Wvbc +XtZtAP6Oxv+h4L7Yr8X+MOTBRX/b5egboB9Gmwa0b0j74chTKLmEx/Qq8l1F +r9UY7E/UelNXnvCcTEYezZjWIDdBPwb9i5QeCdddwPx0p325ziP95tD1pG43 +uj8Z02XI3zM/XzI/U5jDYcxPTcZYi/F3x74O9j+g/xr9dPQj0F+Dv8Pwdxn6 +eugHgNMJr+HAos8MnR1JcBfwd7T/gvaTaT+U9n3Rx/h97sGmD/Ji9F+hn4p+ +OPreRZ/N1+C/Jf6n8Y15/PdmzK8jf4P9IuyfwX4w9pdjn8e+H/YtsL8UnAX3 +BTcFZ8CL6O8B+kshD6PURt8LfUP0I2Sf8JkyCvlb/H+O/+fxPyTlMWqsmsMe +Rc+Z5k59dAP3o6QSnpP+yOcW/e1X4r8J/kdhr4tWY+yl9pSc7gr0zdEPRL+/ +kut6opvPNxaxH8j3foT8PqU/cgL7T1jrBZF1JeBPdRYw3qWM93DG+zDj3VLh +u1d7ajPy7fjsmPCevwN5LXU14r6D1yGvphwW9522BnkZ/n7AXxp/d+JvOfhH +cBZ8N/gY/WaxHcoYFjGWm4q+W0ZSdwK6Y/Ub1tmDfjH61vpG8Ajw1+DjwIPB +14GXgNuAh4JvAa/VfmY+qlf2nGnubsF/O+RW9HEb8hRKWcJ7tJbu2uj/P92g +Fu37IG9A/x5jnYH9RuTVjH8Z469F3aOM/17qOiV85k1Avqfo3/pYnJzEWE6O +fDYn8XcK8q1F9z0KfYcK7yHtJd0xaeSzGEPVhH/zA5Gb0KZ94DOyaeQYRrGM +7vAc8gk6L9BXwX+HyGeEzoonwOV87/HgIeAbwSvRv0mpwH8f8FvI71Ai8NXg +2cgzI+vitPmI/fAL37uE7z2E753E906P/NuJoV+A/t3IbSuBPwbPBRcS3mMf +IH9KORQ8BPyZ9lrkWK0eeBDyIN35lb1ntXen0t/9Od+9nSm3UNeosmMsxVq6 +I3VXDqL9x7R/vMKxo+bo2rxjBMUKd6P/Df19mqMqXiOtVVudkehvR78J/X8q +HKtpDvvlfYbrLJ+kOSh4DbWWj4JT4BWM7yfGl2c+7k35DNVZ+jD6ygXvWe3d +e3XH4L9f5NiuNviayDGSYqU7FQNF3gPaCxPA+8Er8f8z/gv4n4D/oYw5k/AZ +Mxz5WPZE46R/g/otPkv7S5BX0v5c+n89ZN2y7GvuhyfwsQtf06h7nDa/M47X +kBegfxn94+gzisHo81LkJ7D5DfuZ2DyJ/Bf2DQ6eCToLnqeuYd6/Ae39F8Dl +4Ay4W8xt6h/cM9orz4Hr5f1N+pZnwb/i/43Qfe3Gf7rguVUMqlh0EWMrUDrw +m6mPz5rl7E9we/DX4N8jr20r7HciVyl47hWTKDbpTd2BEsf0vZArFbyWHdD/ +I13kuW4L3oP8Gb6zlC/wXUrJIWcobenvc3CdvM8snVVPaw4Z/9uM/ynkPfSR +R59F3z3munLixJAxT4j7DmqJXMh47vrJP/oMdQ/GfQdWo/0X+F6Grwewaa7v +zXjurtb3MpZ59NcD+UHqmqKvyHgur6KuMTgPfgbcV+uJ/xR1d8V9R15F+1uo +q1vi38Gh9Pcl/a1QTkWbw8FfKU9STAxuT9u3afMw8kbq6ua957XX1cebjOVj +9K+wf57E/9HYFzPeC9eAZ6H/BP2r6J8C1877DtDZ/19sdjJ/H6Jvwvh24b8G +7eeDX8J+FvZp7NPYXxLznv078m/pWNbrD51/fEuaNuPjjjE2468y7Y8H78Xf +YchJyn34+xR9VWxTaY9lOnWVwcm0xz4NvFFzn7U8hLq/8LeUb5ia9Jp2yTmn +US6ziT4q0b5q2r+dqbQpAZel/Vt7DVyV8f8Yem+/Spvv8L2aPgbqvEC/G3+L +0b+S9G+uuvYXeLV+m9T9if6n0G31m1pK+w0pj02/6Z/A65RHx/wbXgHepHMi +5jXZjLwy629V3WLkNdQNinmOL8w5h1TuuEU5Qs45sXLhrbqnGM+S0L99zcH5 +OefcyrU3o/8Gf7/g71r8jcdfG75/B3gEeBn6T9EfwH4heD8+TqB9p9DxanPs +mqI/Imu+4ARs6iKXUp5G/xG4Nf720r5N3HPSGF0NyvXgH9Gfiq/m4MXS63sj +n+WN2R/rkRuiK1Imo/sW+x30Xw3cMe49viPy2dsM+y3IZej20N9ibD9W3A/e +p5gF+8/A6yLHEg2U8yveoP9erPd6/C+h5Aq+a5XDKpetoH2cspH274oz4Hsq +gb+KOWZ4AVyF9m/RtoXOSPBI+muq2JPfZztsf804HliuOBB9ZexnYr9Ie5Dv +SWHzPb6aUf5AnklZGneOfjz2b2Z9Vqzle3cjf8iYL0P3EHWdaH8aNm8lHZNd +nTNHIW7ievCAnO9g3b03gs8Cn4X9O0nfSX1zzrGVW18Xc668HvxkyjmzcqN1 +4CdSzpGU624E/zflnFe57QbwUynnuEdwn9VMOgZTLHYm+s46g5K+Y6/JOQdT +7nUDeCHfc1jaa6M9UIr8W9a/rX9rvbCP676h/YXgzuAz8Dcr6ZizivZH2mut +PfcFeBm++4PHgWuBo7TXbjnlEO3XtPeSzpQmOmtCr732ZBPGXy/pmF+xfzNw +fZ3j4NHgFuAGSXMq4lZWap0Z0wtl/g0tBV8Gfq7MY9iiXITxv0ibxazfcvQ9 +lT+gH4B+FbgX+MUynykvYNsb/DNjOQ3dNvmi7qWk75Rj6L9R0jGvYt/t8oX+ +5aTvgK3gZ8GTwUsCcwdrwI+lzCG0on3DpDkfcT8NwHWSzqmVW9cD1046Z1Pu +1ghcN+mYRbFLe3CzpDkScSVtwU2TzomVGx8FPjJpzkvcVx3wUUnnQMqFzgbf +kXRMrNhYXMBaxvd4ypxAJdZmZ9ZrdyvzsRF9ScZ32cXgBPpd6O9Bfxu4BPxr +1mfX7eCAvfEJ63kF8mO0ORk8F/2jyNtR70P+SL959I9QdyL697KWt6L/B/l9 +nYlxc4T/Qv9B1r52oo+B54FXxc1J/o38DmV53BzOHuQF+L8c+T+02Q+eQ1kZ +N2eaZ7xZfDwKngEOwUnw7XHnlM8xJy+nfbdPQE4jl6G/Ie6ctsB5/nnKa6vf +REN0uYxjmT7o2+osyPpsWI/Nn8izsj7LxSkeQP6Y8fWOeU7qY1+e8V1+pe5L +9PPR94w5ZuiA/t2sv2Wz9h94C/0Pi/lM3YtuNmVF3BzolTnvYe3dseC7kJtT +1ypl3vNscYnymXQOco64T/DspHPUwTlzbuLabla8iO+KtGOJJZSv1FfKvx3t +gYE5c6LiQm+ibj24UsaxV1fwBnAi49joIvDYauZSxQmNQZ5OeancY3tEXBO2 +h5T7PP4MuxHidzMH7zrdu/g7EDo20pjvAh+L/UzkA4HP9ufBzVI+40dlfCfo +LlDdZJ1d/Nsy5TnR3VGNuoVJ3yHVsS+Wm19U3VidHeDeVdymLd/fRjFDmWPA +lsinhb47VXdJzpy7uPZtrEmPnDlDcYU7wCdGzi3F0XeMzNGIq3lVHFHBnJO4 +p9fALQrmSMSVXA6eGpmDExc3VXduwZyfuL9XxDkWzAmJG5qiO7ZgzkncU5rS +A/nDgrkwvQHMQ/6gYG7rNPD7BXMe4j76UjcrMkcirqQH+KXIHLe4bnE2oXL5 +ork95QgtInOU4irF+S8vmtMSt3UF7d9AvzQyt3AU58+PkTliccXTqTum4DcD +vR2Ig708MgckLmiacpSCOVtxt0+C8wVzqOJSU5RuFeZcxb0mKZcgz+X3ujfh +M7WuuPzIXIQ4lb7IXdHvSvhMfCNvDl1c+nF835S8OU1xm3rzWFk05y3uWzn0 +s3nn9Mrtdaa3xH975XMJc2h3Iw+InKuK0+kfmSMSV6ScszX2p4A3JsypPJY3 +hykuU3d4DfTvgf9O+Ew/EjwHvCfhM702+H3wvoTvkPrgBQVzueLk52t90e9P ++A5piP5D8D8J3yHtqplTFUGjO7ZpNXMQ4iJ0xzYHD4nMLegNZjDyPPQHEr6j +G6OfWzAXozeoOcizi+aexfE0w74j9usS5iQmIrdV/powx3lr3jGgYsGbwWuQ +l1NuKPWYNfaFkbkOzYHm4gtwdeTh1H0VOYdRLjNenCny7siy1kBrsQs8rtR9 +qu+94PtLPSaNTTmrclfV7UPeXDQ3JU54k952IvelOdfcLwPXTXiMK5BHKD9H +bsicjRQXkTd30ECcmt7SCt5L4uDFxQeUiaVec629cmjl0qqLofsWXFPcGvj7 +yL8R/VbGgn9G/imyrDXX2n8X2VZ7XHtdObxyeX3zr8jDGEM9xlKZ0gV5K3V3 +aOzYtMk7xlesf5vGhHwBNlVKzAmKGzyvwm3FKYpbVBu11RvUWORvInOHWhOt +zcV6cywxhygusavexErMOYp7vLTCv01xaOLSxCGLSx6Aj3m0/yUyt6Y51lwP +zfutQ9+gb/khMnepOdJcda/wb18cpbhKcczimvth8574xsjfpj2vva8cRbmK +5mCbfo+RuS9xuuJ2vy46t2rPuf2Efi+RxyYOTlzcZRU+S8V5ifv6PDLXKk5O +3NycyH2LAxQXuDry3tZvRr+d5zQHCe+ZLgXvEe0VzdGFFX4D01uY1uB8nW0F +n+16Y9Jb0wWK17hvpicdIxyh94XQsYbqtiuOyzq3HI5+p/KIrHNT5ZS7xUGD +t4NHg5sWfPeI8xL3VVHw2ao3HL3lHIX/HaFjtzfFudD/X6G5EuUU54FXgacl +nRMdif3W0LHcDMW53J3bUh6Lcqp24F3gkTHHbCeAfwOPijmGqak9GZoreV0c +MnhT6NjnDfFdynuyzq3lo6vyn9C2ivl+R78p67tXPi9Gvzl0W8WcDQu+G/WG +pre05gXfpVoTrU3Lgu9evUnrbboF4ztwMLYRx9QMvP9gLidOqgl438FcShzK +VuRVWXMbitFaof/nYCylmLMe+O+DsZliykbKzw/miuKYuuX85q+3fq1RA/R7 +DuaGilHPRb8iNLchDquGzp/QuanWoA/630PHospJLwVvC70WijmvBe8LzZ0p +BuwP3hOaG1NOehV4d2juSzneX8qBso5dxoifKvgu1pum3javwP7X0LGrYrDu +4J2h94pygNYF3+1689LbVx18HRma6xPHVJ3vqwH+LTCHVQ99ndBchziLRuBv +Uo7txHHMiBxL6M1Jb08l4jfT5jrEkVUFHxWau1IMdz7+W2Yc64tD6Aj+I+W9 +r5xgPfLPWXNN4oBOQv9nyt+qHOTtyLGQOH5x/SfxfRMyzo2UQ6ZpG4bmxsTR +KHacnfHbtPpfnfMbnd7mlLPrTUhvQ0302+B8Ob6aZb356u1XnL+4f+WYR1fz +m73e7pXjtQGvyPkNTG9fytlW5vyGp7c7cQTLc36D09ubcs5VOb/h6e1OHMEv +Ob8p6i1RHINi2zEZcyeKcXWH6S7TGX4R8unYT8qYCxAHdAr4gYxzP+Xchyqf +zzhWV8y+Fj8/ZM3liSP7Q+NlfqYkzUFW5nu+D82di7Orjm310NyVOKMS3Smh +uUy1mYH+mdBctXL6BuAGobkacVBHMP5FKef24rjvpL9MaG5LOXwl8bGhc1fl +6PvRLwzNZYgTKMdf3dC5pTjrU/B3eNpctXLMU/V/SzLObcUR5PW92NeOmYN6 +LXJsrjdhvQ23Qj82ba5JnNbLkWNnvQnrbfgf/C0KnRuJI4gppgmdG4ljUO5T +M2NuSvMpzkPch/5PyFjk/wElKt75 + "]]}]}, + {RGBColor[0.3896422375, 0.42122897000000004`, 0.43963299499999997`], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFm3m4VMW1xftC39vdF7gg3X1OK06oCIKgIKBMCsS8F748B1DBOKEmzmNE +uAjIjDIqCGrEkIigKLPijIqKCr6Yl5eI8xzA2SgIiMODt36szZc/zle769Sp +U2fXrr3XXlXd8sJrBlzdIJPJ7J/NZBqq/KCcyYyqyWTeU7mpeSbToEkm061x +JjNW99vqmqDGB1RnMt81tHy/6rZLniT5Ack7JU+R/JXk6ZJvlzxMcgtdoyU/ +oj5HNc1kuqjPlrr/luqqqjKZd1Ru01UneU38Rv5Iz02O/pfsk8mM1LOd9ex3 ++v0mA1ebSblMplLtvh5V/yerze5GmcwTtZlMv5z73ah+psTYRkk+TNc4yXP0 +fY+o315q/191mcwqyT/quRWq/5v6mVzIZC6U/IrqP1X9+5J3Sh4kea3k9ZI3 +q82v9Ow6yRtVv1R979K7Zqn/TyRPlTxD8nDJB+oaI3l/jXer6sdLHq261lnL ++6n+W9WPlTxCdS2zlher/Cn6aaE2Wxp6/K01hh/03if13l/pW6tqrJvb8i7R +z5Oay0tU/4zK+kTvVrvhKp/V78tV/4LKkyrSo3Rwsso63Zur+uYqV+jeBZJX +qTxPv7dLHqzyIl0Z9XOxyqt11Um+RuXHajdGbTar/ETXeMlfqJyse8eqzRSV +l6X6To2vld61WPIGyQdJfkTtfqf2T6i8WPWp6g9VfW/pd6u+5Vl9y1rdu0pt +1qkcqL4+kTxI5TfSzwzpZK7arZSczVq+Sbo5S/NYks3UV1zOVdlXffbRldPz +7VUeqWtJ6G2WrsWSO6ru6ILt52z1MVF9lfX8YzFOxovd0RbbHqtxtNU3jlO5 +b7X7Y67P0bOT9OxnemZ6E/9G/qHG9r1Ubb5UX5P0+xuVn6tuWtjPVrVvKpse +ovmdnvV7fy09JPo9UuPMZT1vyH/JuBwRMrY7RddM9fWQ2t2JDTBtGl9f/e5T +ymQe1vt+0P2jJK9Q3Ry1WaE2y/Tccl0f6V6S9+8PJXeX/JLkX6ptA/VzvMre +evb/1E93ySdIrs+6Pc8ukzxLfc5Xn1nN6Vrpp2Hq9TY5xnaN6l4NPdYVbJ+7 +Vb+yYDv5Z0OPBXugzz+oz30lf9zQ95F7Sydfazwr9exXKntVW75JbebpfZep +zdii1pburVL9N4n749tOqLJdfy95W8wJbfA7d2Tdhm/Hhzyesx/ZkXf7HZK3 +J67fpvI9zVczzdeV+r6/8l26atV/TY39EbZ0S9br8STVX1drn9EJH6f6L9Tn +vyRvrrH8dUOXX0Y9dr4uZ1t/WTqv1u9jpPOny9ZZR8mF1G3yKpfrflXWfniC +ynnSy4UZ+2fmAh89tOJ10FN93Jb1+uqvsc3M2j+cIvl53Wug353U/wEay8PM +U97rj7Ex3jt1/9oa6/MGySsKnjv0zPyhx5Gqf0jypob2m/itTQXXPRz1zCfP +Mr+UK6Mf3ke7jTHv1NP2QdaL3jspY11+FvrcqTF31b3jS15v+G/8SF1qu6tV +/RLdv0X3ZuvZx9X+Z9Ufrfo3Jd+g+ndVDlf7I/SeoyqOi8THj8pen6zT/fS9 +g9XPzZJzVba9m0L+odbxkt/dVU5Q2bDK84HuD5A8Tc92UP9dso5z2N0+VY5V +2FpJ8vF69pqoP0HykKj/vtbxYKJ+Z3O2Udp1U914lQ3UZket4wrv3l5r38S9 +3irrmR+16bG3D8k9JU+SXC353NR+Hn+P78EHoSNiwtSsfQcx6acYT05zUqOr +iZ4ZnDou7IkP1OlqkbPtswaw1+ObOb4yN/eo7vN4b72ePVw6GapyZ63jJWP6 +o8pxrBPGkNpXENOYi13xLdj5eF1fMia9s6jrCLWr07rcX374Va3Ng3P2s3z/ +FRGPiEvYJ3EXG/uTyk9DJ2OyjtP8vl7tDlX761S+p2ul5IUqx+neBl2t1H6o +2l6v6339bqJ7r+h9jVXeWW3/uNePYePgH75pbHz/HdV+/gPJzVP7kWYqW1Yc +K4mZs6ST5Xn33zxnnIFN3F3tsX5GLJR8o+RPJPeRPDJsta/k0WF7v6j2uA/F +BnL2L9w7Medv4V6HnP3FyIivM6L9TPy4xjAjdLBC1y3MkdpuDjufG7rEDv9Q +bb/AWv69njlY7a9JPcZR8cxd1Z4D/MDVqX3NlanXC36M8YNN5kjO67o6cAv4 +ZX7J+j1S9nBfybroLHlByf0eLXlhyXrplNj/bApscX/JttVV9feWPNYOku8p +eT7aJp5jvvMDledpDJOz9v/Xhb8Bt4IZFzZ3bDufWFdjnNs4bKBp6rlkTj9K +jT1ahg3siScRg15VP/PVz7OSb2xq3AxmHhrron3FukOHR1Rsi9hku4r1hd5a +S/6H/NQw9fGGyr/qGiL57yrXl+2rX1W5uOzvWa7yPl1nS34QTNjUeBosTR7w +WHPnAi+pfq7kqxrbxitZYzN0AG5HD4tKjjUl9JZ1HKP+AfUzrM52M1vyxVr/ +PdX/RWq7Q+22qd1FqbEimBEfuDP8HrqorvF7duv5Xbp26/fZqeM3+BT7BPth +2y3AD7q65hzHiGfEsN+mxmngtSXNjaGJQ0tDD+gDbL0lbHhR6ATdtCwYY+Uj +ThIvicED9Hx/XaVa4/Vvw+bB9FvDh5AvfRf+7bd6Z69mjlVHFZxDke/USzeX +NbOtTGtiO+C7l2kuz1T99Ir1d2kz63BQM+cw4Km5ReOsE1VOUZubde+URo7P +X0SM/lH+b4Hqr2jkbwJzgCuYK/zmV5Jv05gG1nrO+qeO8WDt2ZL7gI9V3hv+ +NRexfnj4skMqjv9Pawx/VLtL1X5M0XnYtTljXXIZ4gMxg/iATPz9vMZYEBxI +vO4b+Bz7OqFgGyPnQyav+VDz0Ur3usnWFmSda/xS9fOzzkFOlPznrOP1L6r8 +XO/o5x09e4juHVeyLRHjiGVTi8YRvVTOyxoD9FX7TWrfRr+7l5w39A2/0Tvy +COTP1aad2vRQmznqc3DOOQB6Ib9gjVO2D5l7/CZH6BD11PFch5Cp6xA+AhvB +VsAI6IX3oo/7ss4dLsu4rnfUk4+zPlg/5IUTc64np6GfuojXzAExfVvco54c +olzrWPaW5v5unk0cS4mprCPWUCliK/aErW0seJ0Vow33kPHd4Ja7co5Tx6n/ +Y/PGmawd3kUuw7j2q/U3gnnuzBnPLIIH0DfU6xufU5tOeecbL0vuIfk/JH8n +/XdS2atkDE8/2BuxgnXLmv1A3zBffb6fuI+OeePwGVnL3bL2JdviXbfqd2fV +98qa66CeecCn4FvwNfgAZPzAG4m/8XWVL6iuS945EphqWc4YhrYtov17avdn +1b+bOC4jj454PS/nmPtOYvntxJiNuQC34CNbhH/jPYwTrI5/Ij9kDlvUek7R +A2u3d95rpGvFbdfJzj9Vv4vBEOik4vzypaIxIfXgws4V6+nlYvjdvNcLXAeY +Dux1XMXzub7o9bQ7/PPhqu+D/y4a4xObiO/EsVZ5r1NwAvgerHC02vdT3YtF +Y8xd8S76Qsae21S8LtcUjRvpB+z0VMFYvUPWeBPcCc6E0yHOgE/wrfjLmYGT +F+aMh3muja7/rDJevjhvPz5FfbXDVlQembfM+D5O/OxHKp8u+B72d3PW/bTP +2s5fLNjWwap1gYHvkm+8SHWjisbjyKz3o/LOBZgD5q1jzF2Hise1Vu3bVuzP +nisav2HP4DTwA7YLJgGDs7Z/Dh+bC0xOrnBJ3rGtHPGKNc7zyOA6/A/YBZ+D +LYGvWDsPF80rDCza/2NLxIC5qXV1o+rXF2xne+JI0X69d/j/jsGl7LGNyNeO +rHj+ny86t6iJMTNWZGLELTGXzOMjBWMeMG3Pim35haLrDsrbJrqr/nSVrxSN +iQ7JW1/oH90TI8H21IPnqaP/XYFd6QcsSs5B/CJ+351ab6PV57MFzxO55SbN +/SLyLpWPFfy+zyLXo35C6DkJ/4YN9gqc/K+y7bRnyW0GxHygP/SIfrFJbLpN +rO/nC/ZF+C78ID7rcZVPFJwTkUc8HjK+GR+NH763aF6nn8rX8s4dduv3yY2D +78w7F15TsF/lOXw3zywPP14V64z+WWtPFjw2vmF54H/6pI/noh/4H8aMD8RP +46/hkMAa6wq2E9bT6oLXF3Xro/6ZgnXdNWyNe9gb+f4zUc880KZDvH9ljAF/ +iP9FZ2sLXoN9w8czvm4xrhdibMdGuz5Z82Broz28GXwX8YUYxDhZ4w+UjZva +l5xPwjtcF1zGxsAY76ee54La/G/ZHHtXcpGscTic1d1Z43P8I7EF/E98ITdd +kzO/AEYDq8Ej7U5cvysxrwCvBaYEl4PT4Zt+1L3V4JkkcpS8fQLxmbyR8aEr +5p3xva6xHYQOSuathgT+A9Nsim/5MPX7V4dPJv/HB4I9ngwb6B82jJ3Pjt/I +pcDG+BbsmPb4Rvw/dotNDQz9kSMwZnA4/o68lm+BQ4cj2BxY6y8a876616Vk +7D4odN848Vz1Vf2ysr+7g+TDKtb3M0Xj2oHxLub25Zhf5vbpmF/8Cb4GXzCi +aGzVvWi+F5wKRiX2EoOJ4+D4ZyM3WVXws/gofMyjBfuZMxM/O7LoOvwFvmJ2 +3rwzfYK1NweWI49/NNrgV2hPf7OiPRiY8fE+/BXPcw8uGr5yVrQBq4Kn0Rux +lziLvaGzKwKzgfkvb2S9EHda1P4bi7UIHEUsAEcxp7NizfSJuWZNwwlvSIzZ +Xkvc35XRJ/kuXDT2+UViLPQ5uKNoTvoUleOLxlw9ivYV9IkfZ+0SR1mP5BDw +5owH3YN9eJ4cB92xJsk30SHzDK/Mvgh7IR0Tz8kRJX8zawH+BE4f/YCpJ2at +C57Fp+ErabMhZHzLUYnxSxv10z4xn9G6ZPsbFOsLLIAt4duOSTyHbUv2U/gu +uD7mkLlnbIxzdtgAWGBO4AF4mFtrzcWA3xnjm7E30S/yqSMSc0Wt1H+7xNzS +4SWPl3FzD90zB2Ae+JZVYZ/slaBDcGyXxHGjnZ49sOJvfUpzcWzZPEbXsjEB +MnttjLsqxrNPYozQueQ1QJ4OF9C57DbHqJyTeMyzySMS+/gjS8bncDrM9aWx +78P+D7wi6x5ODx4em8aeWfdwzeSFWyLWkqdjm/SFfd6gfi9Q8+FF2yf19A9u +IVcEN+A3weXk49MCc8MvwSnDzeEv4GLJQ+Af4Hfhdsl54SluV5tG4KWSOfUb +ih4vGJ0xgyfIK5Dhccl/SsEV8yz98Q18G9/1beBReANsDm4F34utkMvBhTCX +cIPcBzfgd29I3d/gGA96Ys8VP0C8pJ4xswfLd5F70jf9nJ3xGK4P+Y7QLTk8 +fP0dIbNuiS+sD/AQuQGcBvO9hwup2P+xv8bcL43YD9bivYznnIzX9OyYC2IC +MnGBdQEP/uvgw6eHDAZEBgcO1bvOVR/XS8/Xl9zfkKL3csFzjId4jA84NTU3 +QP7PfWIAseCs1D6U9mBCfAD7yax15gqsSZ7DGmAtDEv9bsbE3P0p+uRZbHcP +zk2NH3mWOR+m+vM0tqFF+0nyQ/KiSYEp4YRYjxMbW6/sDRDL4YfIQ8gH4ATI +u8DrcFHkjPTDOgVTkp/AMw3Xu87Xu+qLzrPJvcFpCxu7/8mRe8yKMXSM7+Qb +s+HH4crq1c9g9TOs6OfJe1kLrHNiHrY0pGQbua7o/WryLtYOc1sf88t+Nfw5 +398u1lrbiNOs2wEl+2Z8NDEOzAH2GFgyFwMnc2bJOAm8dHrJWIH2xOtzY12z +vqm7L/oBUyC3jzgOVgNP7oz8jfVbH3bI+hgUc8Rc/Sa+HR2Ql7DWyE3w3TwL +zqGcGjJ8E7Z1VslxnX0B5hSdIDMf+Ff8LHH5tLBVbBYMC/b9MvgcckX4Fn6P +j/ULDoRrIBbS35joE8zNHgF2Ag8FH3WOyjNiXbA+wAu0Z1zgPrDU9niO3ADd +gd+R6Y+5GRv15N7MHXaF7hjDpDgvwbego9MS8+rw6/C146rtx05OzJPDl4Ov +ySXA2Kck5uTh5uFlwFajUu/jwfPzztMTc+9w8HBlcIlj4vzDyLAl9gHhGbl/ +RmK+Eo6ZttTz/fBu2Nx5Je8/18dcc+ZieLTpHzaMLa+OcxGcjyAHXBr+iv1s +coJJGuepifcC2BPon3gfgf0E9rnJb8annmN0xDrF14wKXWFHD4YtoctFMafo +BQ6U+AYWoA0+nnwVv9g0MX4Fk05LvX9JrjMm9Z49OGhy6tyGdQqPMyDxvgb7 +G/SN/sm9wdvYGFiaPX54lHNS51PEQuIguQ45D1juszizwdkN8j7qyQGJFcwv +uqMd99iTgdMBS75Wtt1hG9gqttk67LY+8hn26J6LMyecPdm7Zqojj1gY6xcc +CS6By+8XeWt1YpxCPXiPMeJbmO+b47m64BHgE/5ZNqakba2e/VvsfezdAyEH +w79wlueDJsZtN6bGbSNT+zviVlXEI+YH/5+tM0f/SnBzX4UeOAf0QhPnJ3vt +gHi0KNYR66kq8VmI3ZFvHRg2SR2xEpsDb4G73tUYtpbNeX4bJX11irXBsw2C +a8Ovv1i2v8fv79mjKTh3RZezozw0+D7sZY3aT0mNq29OHQeYV2IB/OM3of+X +4rwN526+jjMqnFVhHh6KucB+HwgdwbUTH1uF7SyPfvE3rHH8TKPEZ1EKiftj +7sEx1NEndg/nu+fMVoM4k5K13U9PnRtMTZ2/ozf4EHhAuJ+3yt7/YB1nEttH +2/Bv7AmwN4BtwmcsD9vGn9Imt5dTA3+pn2ZxDorzUPCexMynVF+TeEzZxONd +GfodEecEOC8Ax/1JrPHewYP9VPYZsX515gvwT/hGYgM5MPEU20V3h4UPYf+B +fQjiIrke/BTfSQ4Dfr82dd28qIdHhVNgTbJfCL9Drk+uQs5yVepchZzl8tQ5 +A5jy4Ipt8u6wS/hf8NejZfOwxL2VZZ+ZIIfYJzVHtzj8DHGfcYDDyT3IQS5J +PTdLY+2z3lh3e3EoMhib/WR4TOwTfpc4S9zmHAZc4HmpdTM/9NMm5NYxt/fG +3HEOhlz8d6nPqcB7XRj7y/hG9Mn5GHjE81PnY+RlQ1J/89xYU+THc0OHE2M9 +gdOIdSdGvDskdM53c44D7p61A9cDp3Jr6j0kfP+OsjkVeCI4Djhc/PGSsvkU +eJX7Jd/bTO+tc94MT4Fu/kf1Y1PzXKNV/nfs27J/uyH2dvfu8TJ3B4VfQ8fY +FdwoPv7Tss+RbWnisbwd51s458L5F+IF8YzY3zLmkdyffRQwwCHxrcRi9vbI +CV7RsxNSc5HjUuNKYlsaORp5BfHi1L1Yoejcnhi4pezYTjylz+/LPsOzPb6P +HIQ+ugf38lXcx9cQC8m/6JO5YF+Pd5FDLQt7w+5+jm/7sezvWxzjmxL+GEwI +diC+44dvSs0bTkwdV+kDDMyZ0JPqzJcRa8BUzN/Zgb3B4OQoxAlyBTitx4PX +grN5NHgbOKFVwSmxDwIGwtY4xwS+Ie8cUbKNjSz5/awbxsD5KTDNnjNUDR1z +qB8dtnGM1u+LOdsh9ng661P1Z6hcn/P6Yp29FWcViWvsE6I78vcBatdY7U9L +vVcM5wgHMlP9XiS7XFBx3cSoh9Njz4C9gyT270YEB0TcYC1nw0/mE+sU3R5b +MTe8JrhruNtngr+FL1kdnAkxkrjYMDE/91LwxnBBayOn+THmd1fZ9ocddqk4 +nhHXulXMJa8LLp24xthYp8Sk20M+U+2b6v5vUvPZTwbfPiv2u3tVfMZlD2+f +Om4Rq5okjkPEox4Vc8nPB+c8kLNPKgcFPgQTsKYWJN5fWci5lKLP1kyQPK3o +81uXss9e9Jme34O1iz6rNIJzi0XzQTMT54Bjo8+pYdP4zInxLrDHkqLP9ExT ++5/Yo2KfN/k3nthWNtYB83SseO2xxn5QuUXtHlH7rSqrU9tWjcoJRfNvF6h+ +h64nVP89Z4F17zn2CFKvD9YJecfqxOezn06c/4L5wHvse4PlxwRnCU7HLjfG +d+GHeT/cy+TgMMiRyI/g1+A/4EbIYSZEn5yxZH8J3olxwbfAu7yd+hzeOyrf +jPNkb6XOtcfEu2pjnTRKnY/TJzHl0xgz+vx76vNz/1D5euqzd2+ofC31GbsN +oQN4JPgk9A0XBCf0Rskc35sl+we47y8i5yMfhD+aE1gN/op4w1ojNrCOu8eZ +b9Zotzgj3q1srmVYxf4MP41PeyjObHN2Gz96R/jijXE2mzPanN2B55wYMX9u +xH04SMYJt9clsAPcyO3hc/G38BDgxT2cYWA0sPFrwTUyN6ynnvE/gbsi3hOT +upc9Tz3KjuH3RBzH38JdgE3hm/cL/hlOhbgCrzIk9ggGxrgnhX5YZz3iPD2+ +s1fE6AWBDdpG37wDboPzFINjf7NbYDRi1rzAMMQ58OeU0CcYAL4GLgVsCwcE +PiOvmRXPgvdmhB7IReAqyEf+H3uWVKA= + "]], PolygonBox[CompressedData[" +1:eJwtl3mUVsURxXv4mJmPbWaYb957o8GIGo0sgg47M6AgRknCDrIMu7IatqAg +m8rAEBAiCh4TQU4OyokEIhIlagKocYkhYhLDpsgWNoEgCMiqQn7Xmz/6vFtd +1dX1uqurb183dFz3sVVCCOmsEKry7VMUwvWAgeDe4Iu1Q9hdC1w9hD/RPsqE +8AbfnJwQWkchvFAQwry8ELrUCOEB2oTCEH6KfAmbzjVDOB9jn4tNKoQz4I7o +7sPfEfQHaOkkhA/Qn2TOrvjuTVtIfwf6XgXXYf578my7Gf89iakOtv2Jrwd4 +Az4rsf2En2hGPOdolejmE9958Gf4v4K8Nh3CLnDd4hD2EMtW5OvAS/C9i3h+ +hu/RtBxs3sPfAmyqgE/KH74aMecJcEvaTubKpq8V+BitAtwA/VHwo8Q8Et91 +skMYRXzlxHcKXyPoW4q/QchnsZ9MTBXYPpKx7nvYj8T+VvTPgg8ypjG4Ee3X +yPuRbwG3IOZm2Hdhv5qDZ7M+C7Se+IxY743EMAJ8BfsN4BuxuRr7O7D/AXgf +fdPR30i8e8GTiv0vRYydDB7AHGcYO4oxy4h3OHLI9Zo+rn9Droo8Tv8Efixj +22uIcTTx96fvdMpr8Bzj76XvWuYawPhe4L7on0Y3jPYs+nHIefhbjH4Rvi5G +3rvmjLkAPqQ1Rb4Z+SB4DDGmwZXs1VjwZ/RNyXHO7gRfpj2h3ET+FryEfHyT +f1tE/ozhW0LfbObLwqYpeJvWG/l24q9KfIORxyN3pD0N3kur4H9WIP8HfII2 +F/lV5C/B+2LrWjH+MvHvRl6OfCdyGn9D2J/38z33bGI6GXvsPnAZ9sM5PyvZ +vzasRxn/lGJN3kV/HP2P0X+L/Xzme4u+KzpLxHw/sX9D3+vgXOx/mfIZqga+ +HNv2KOPvyjiHlcvyWRV8C2t2E3N1IB8aav2w/w269sSbS7wLkWem/A97wPtp +s5BfRD4IbkO884n3zRyf4U/pW4auHeNzGF8L+VfofsT8NcFp7Tdye+RccGPm +rMf8dzN/I/Bh+lYxvpTxgfE/pO8a9O3Q3wQ+ovPN/C9hcwzcUP6x3UdfA/CB +2LG1pu8K/3sIeXbKPj8HH6etBbdBXwX//0Wek3LfF+CjsX2Xoc9CfxtzNmT+ +jsx/a7FrlmrX69icBT9c7HOWyz89BP4qtu4A/9eW+Y/RBiMPor2AbnDis1gH +eQj4BsYk+L8d/9eDT2OzLtc5pdwamHhvdSYGgVcS0zjtJ/P1QT+UvirMVZ++ ++8BN8NEYfz/BXwl4i9YHXVv+J8XYzsU+Kx+yvK9kfGZ1dmWzFTyFNhl5qWoo +uD7tmWzXyHrg0Ylrj2rIA+Dx9E1M+cxsVz7gvx26u5i/DNwXm/y0a4hqyf3I +2cTbAvth4Idjr8Vy4llCPAOLXDuHIA/QfYN+PfrD9LVDX8D5PU2+TazuGn0B +/eMp21wSpj2Scg7vAtcjhrrM3554bgZX0Dct5RzdCd7EeXwXf4eqkR/4bIDN +DdjfiX198OLYZ/+N/991zZGfYz2O4aMZeDN996DfTN924t0Re+3uQM5W/Sty +rRrM/5SDRyTOVe35SK0f7XDKMU4Aj0lc65XzY2VL+wh/1YlnL/jJ2HehzqTO +ptZEa1Oomplxzin3VJPnZ1xTVFsuki+zwPmM6YmvJcgFuov497xC36Va0+Xg +ObVd/3WmQ+y9eQqcFbuGqJbUxf9S8NeRa7Vq7DfgNaxZeb7PhM5GNmNeDj7z +Oap12AwBXyT+V8DV6dsYXCNqgPcQz6Xa5g7iGKWRuYXuWN21v428FuX0vQj+ +OTGUB+doZ8ZPQh6kXELujtwkcm3/bo/QPZQxl9Gd2k25mzF3UA3pgvyB7pQc +5+hfwR3Zs5nozomPFJlTiFuksGkB/pg2Mccc5F/gfuzRuZTv9HKdXXxuyHWO +Klc3si6r+b+mfJ/i/64tNvcQJ/m++Eex174fa7gOXBh7r3TH1Y5d01TbajGm +J/4fzPguFSfoGvuO0F3RSPUmYw4lLlWKvBo8M3at0J48j7wpcu0Zzxx/B/8j +MjfQP/0T/HnksyxOcwS8P/JdoTv4APg9Wrcsr9n74N2Rz444xR7w2si1U3v+ +B/AfI9cm3VmvgU9F5j5zkU+Dj9NGBXOsL8B/pnXKModZD96TmLs9wXruBr8V +mfuMRv82eHXku2Qg8u+1V5HPvjjBp+BZsddGNUC1YEvku2US+q3iSuzx1dpv +9mZLYs4m7nYBeQfymsi+tccvReZo4mrn0W9LzHnEfS7qLkSemXHuDKNvIbpp +GdfuYuRhyF2xOYGvw/R1E7+i7yp0Zxn/MfIU7IeyHsvo60W8nfPNIcQdrnBG +piGvQl6Tdk69xvntlG9dK3G4jGvPUsb3iD2n5hZHXq/7K+Naq5rWMzY3er7A +3FccaXvktRFn2xb5DtFdojvqFPbTM+Zuilmx1yDmv+Wag4iLLKIdT/lOWAzu +x5gvkYcjL0GelLiWioNMBn8VORdKmO+MzhZ9R1KuyQ+C5yfmEqXIC8Blke9e +cThxuSmJubk4xVTwvxOvpTibuNvCxLkjfvUkeEjs2iiOJ643jX/okO0zr7M/ +I+NYlRPKjUcTc1HdsY+BtybOFXEicaPNkc/SVdh8CG7GGS5JO4ebgqfGrp26 +Y3XXduK9sbiWuZ7eSJXsZdsC30Xi8NsT55Y4jLjMLwpcQ1Q79MYqLfZaqKa3 +Bn+SOFfFkcSV+hWZ26sm9gXX1h2S8p1SCG4aOze0xk3A3Yscu2pqN/Ao5utN +a8Ncm3RnJs5tcSZxp5LYtVZ32G3g5pFroziPuM/0xHspDjUjca7OID+b1XTO +Ts/3G1FvQ/WJc4p76s2VrdxAf7DQubyC1itx7dMbSm+pothnQzmWic05xT3f +ZnxQvsSufeIE4ga6k3U3qyZ/HZtjimvm4fNe7OfF5ia6k1bp/Rn7bKomTUXu +gU3NtHNYuaw3gt4KetOei80pxS2VQ1OLzCHFJcWB+jC2FXvUMu2a2RL8TuTa +JQ73F/DvIt9tqgkrwStic0e9kfRWmpuYO8vHPPA61vNl8mduNe9RReK3jnJu +FnhCbG4gjiautqPIXEUcUlwyP/G+KifywJW0tlX9ppwDfgffqwv91hdH0htG +bxmd8eqJ3zh662hNuiP3T3y36404ANw78drqDai3YFbivdEbRm+ZFYXeY+2t +/iEVm2sohirg/wEMMD6G + "]], + PolygonBox[{{6284, 4184, 3588, 1993, 5901}, {6030, 2109, 4200, + 4197, 6288}}]}]}, + {RGBColor[0.4543818125, 0.48277035000000007`, 0.495164225], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmXuUVWUZxvecYc45e3BunHP2nlVCCf/aKhUv4KUEBi/0h1kKpOUFuTgK +IqIICHJzLM2lxSVTa60QXVooKnhPvAVWSqvyrpV3UMQBBhQEhZ7fPC/L/tjz +fefb3+X93svzPu+eQ86/5PQphSRJDteferWPlZJkfpokj6pdlyXJTWrXq71c +Y3eqf6EmnVRLkuZikoxUm+r5qCFJymqPqXf/Ie11UL3n7Fd/VjVJLtbvgtpb +K0myXOd0qP28nCS79ezSvLLezdOc/+iso9X+tE+STNW8y3Tu7Tp3ksZa1f+G ++leoP1DPtdp7nJ4RGh+e+izmtOgZoHkl7TlH897MfCfutkR7HqGxO9S/V/Mf +LFluZL5Xsg9T/zH1d0imTyVbj9qdZfcv0dp7S/5N/4/q96g/JXG7I/rbi+5v +U3tEvyQ5o0VyHWT9ce7FmjMr9R3v11mH9U2SPZrboudhnf8DyfF9jd/MHfRM +1dgY7bGgLUn6aZ+RqedjsAPyHaX+C3r/56Yk+VDvi7r7LI29rrufoDVD9WzU ++NhG/94Yel2u5yJt9ZzGjz7I9hij/nQ92+uSZINkezN+oxv0in5urNo+8yse +3yqZ12r83QbrF922yCe26Hez2tdz66xT6/ZmtmGD+gslxwI9T2jfWs37VNUe +X++1nMU85r+a2ebIjN2nSLbLGy1vLfZAhhWt8rPmJJnc1/6CzPjcF9LPO03W +wd0au0vPZI1nqdcfqt/l1D6BP5ymu63V+7Jkf0Tn/77edlmv9W3SVSLdv5x7 +j0mS8dXc9r8w7rU2zj1V+9yHufR+VMl2xab9NedgPUNKjrfjw/fwG/zpyHrf +Cf1yryHSSx+9O0bt/RpPtHaK3m2WXlbq94dqP9GzSv2P1Xb1sY8Re+s0Nkrt +Xwrud6X+TXtt6nsOiXH6s1P7KP7+G8n9sc4dqz0v0Ng4PZPxSf3+nWx0l+77 +jOZdo/GnS/YhYvtp+c/6kvfnzJlqr0wdNy9pbb3aiZljDT++SHu+ot9t6Eft +QyXbYprG/6vfw9W/MfOe7AdenFb1PU+pOlaeLFq3k3TOxNQ226qx7qKx6/3M +cfhu5jhF150a/6vazxqskwdK1i+63ZTZVz5Q+07mmHkLPWv+lqJxqVN3/UPZ +OpmhM69I7Vtg5vTUMb9M75fquafgd9vK9hva7dFHRn4P1j7dareWjRWcRZ/z +0O9Jev+s9nk85KXPGd0xfzOylR0raxo8H/9BD5zFOXc32N/wc/ZlLXHLuk/K +xgTibEv0sT/j7D1Fvr+40XZ+VvucFn61SvF1dYtxBH+el/oMWvAX7G2NcfrE +26LUsUF7TfR3F+0/u+K+vOMO6AXdrSrYN66OWN2s+DpLY0cpLr6puL9Hcjzc +6NgBW4ifuanndyUeIz6JzQExZ3lg4O7wW2J3YWAK6ziPtZeq3dBgO5KDBjRY +z8RZV+SsvUXPYw4xPrTkPLRGcXSy3v1c8p6b+Z7nZbYhvocO8fFhel4gvwT+ +gEML2+XP0uuidsdTV8TU13XnHq39mto7y96fnNKQ+0xyIFh/g7BwVMGxSsy+ +GuOMbauzftkHX5qhMyo664p23/XUkvM5c9HrU5r/AX5VdN7Bxq2BmeD/iUX7 +EnY4pNlrNlSs18WZ/YU7ct+hNY/zHt3jV9j9bL0rFG1X8Bas5dwnc+fJk7Vu +WWY8Xap2dcU6G612UGo9gg8vVLzuCM2/PXAYPD4lcGO22hMqtu1O7fPP3P4+ +QePPa/1hRdu5I3jLPs15MXecTawat9DBfZCo3DmX3NuY+3x4DbmTHNpVcL6a +HjlracRTL49JHYfobU7N515Vs63Bu7WBD4MjtxIrYC73OU6yXal2a+bc/5L2 +3pQa28ghxAv4dF7JGLVZ79/pY3kGhh9hC3Jcd8mY+bj26tSe46s+a1Fg++E1 +2+K44IDXlsy7wOzW4FfcdXPc98SKxz7PfP75Jev19sy2JXbhO9v6+nzk2lIy +Dzo4zsQn4TsfNZrznNvu+efQZsbr7sy6ha+g3wla27/R3A4ZW4KLkqfB2rkV +509wfmudfW5McB5sjw9cVbGNsfWcinVJ7sLWY3Lnqzq971N1jnqZnFZ13nhR +/fcbvIb5c1LLiZ3ITaOCA5AvyC/koDQ1/0CP7zXY1tiOWMPHiOtNweGI3Veq +9m18nNwKB0AmOBZca57Gv1UyzuInyHBV3Lku9f0LJfMF8jxr7gg73Zn5TMY5 +F3w4NPjV84rrY5ttZ/wDP5ldMU7ODUzenlkP6AM+BC+6umJewXlwEngX8s2K +2oCxLZn5+6PBM9Evd/oo5BlZtD5X5+7/THsepv4n+GZuLB0SPgNegXXIhy06 +Ih7u17xh6ndp7XO5MWuvzhlUMw4PrNkWbcE9FocP48sPaP4I/L5ifjHg/3yN +/tTIU+xPnMJH+sc4Nh0eMQyPI9+AfeDj+sBVMJxcQg30ndyxcIP8fF/FXOPt +4Hr4ITolr84Lff2iYg7UqTmfZZYd3+ynGmRHk+Pj9Nz7sF9Std9tzKwX7oW/ +ka+GBOacmXsOc+HTcG7i5Ee5+dT+ih/672XG78kxB3x6OnIfmAzWgPvk1ifC +7mdl5iVnaL8fB6/6ofpnBz8bnTu2iZ0etT8JvjhW4zubfDfu9Zb6lX6W79+Z +73BdZr4AH1sVvJo+9zmzxbUZdRnxNyM4W28dklo2uAG+iB8+Gn3qENrW6GMr +eDK+Czb14m6dcQ4MB+vgXNuCd8EHu8M34HTcF3xh3cZYC+eCe5EX4NvsQb1z +W8U16iNVnzk7zqXGaY2al9iaHbz90+DQOzLfe0bcHX/Cr76d24/g5MTUxODk +kzLnNcaJvXeDM7+Umwejr1fUH9psLAAH5kuff2tznYmt5gTOvBWc+V+5sWZu +cLAbg8/flHkeuAT2Tg3+f6naU2TTL9ucz3bEXXap3aexvW2uY8Ft1oKrtHOi +v6Ji7ru2ajziXHLBBdpzQ5tzCTpCj+DbkTXzjT9lxqQs6kF8IQt/WBk1zAGd +zQz9rGty7U3uHRDcENuB5eDItOBH/IYjfRw12hu5azb2fS33vdPA/wdjPmvf +bnLtCu7PzGzvWWp/mzsWiAl4+N+L5lbXB5+B1/DdYmd8x0hzc4mS2svb7ftX +qv1eq/WCTvZUjYfg4hdVY9aXVfvPtsCH16rmha/DJXPXP9dU/M2DmAWX9lWN +ufvVJjXnsLqa5/TEtxH4LHyDvD9e5w9u/Yo3PBy1Nk9vDVdnnC1EvsZPC8HJ +Z2vtRc3mDn1y404ht416Il8g76+j/iL3sZ78tD8zHn2ZmYc8EudSrzEf3guf +7Yz67pft/l7z3XbHNdjVW7uVnNORdWHwMXhZp+Q6sdX8hXjvjjpuTcU221B1 +zMDPif/bcusQ/MMe+BS4sjg4466ow6nHVmTxDa3oPHJCyIaMKyuuD9dp/1/V +nI/Ie9xpWeiBZ2nUiUtjvLvOnHRp9PEffAxuQByODW75gLBzbIvrBM5HLu6M +/1P/sPf5mfuLJMu04Lfg2C25ca8X78vGO868Nbc+yQnz5e+jW/ydBdsOa7V9 +l1Rcu67WvW6uud6hrrqhybreE3Uq+oHDLak5r5G3l9XMGeAOvdyz6DuWIi76 +5l/FPDwHm5CbR0WNzB3InWA4tT05D5xmfFz4DP7CnuRP+Cs8hJxH7oNjH8gB +rIWPjAhOsi7mUDNQyzOHHEGsgDfMAUf5HnrgzMtCHuqwkVGHkPeoOQ+cT5/8 +OyL8iPzSkfobYhLjHdHHN4gT7rBGPrRaNr6l3Tn84NhnZT/jMr5A/MEhiUe4 +D3wInoMN2B/OzZwJgb3UdOgd/UyPOAfzOW9/jINV4DJ3wX/5LgOnOzrwGZx+ +quhvg9SdhagVO+Nb8bTQD9+Dz449yQPriuaw8wJfWbsn8zfh3eQc3euQNtcP +cwNnkBn+xjdt+udofF/RPse9wREwBLsNCtuNT82fydmLIoecFHofFXKCE9QA +YMV1wVWuz/xdD154bM18FjwCB8mTg4I7oeNJoWfWTwz94++bo15Gp2AY488U +/U2VbyALgiPQHxx1HPUce0yIff7R4tgmrrsCf9kPHjI+uMjI8Bns2xW+ho16 +4ztiAd7NfeG0rBkYHAbdsM/k0NUF0YcDcA4yYLsRwYXAXt5TFy+JbyZ8O8G2 +w2MOeIBPYNNxsSdnTY7frO2IPfGzDbrj8n7+joU9sSt8e0Hk/oWZx+DijL8W +OXdm+AtcEO5XiFxTzJ0/yCN1uf2JeV8En6oLfwK/sCd65Ts+/B97Y1fyNt8v +9se98Fu4JTLAT94I2RYEFwN/wAneIys+iT064o7wRGyPrck5zEUP1B/Dogah +LsG/8W34Kfx3cMQpesVXiev+UeMQQz3xPRGuBeZjM3LUpsAQvhXxXYCY5n9H +5ANs/z/6+bfD + "]], PolygonBox[CompressedData[" +1:eJwllmlslFUUhm+ndArUdpjOzDeNJir4G7VKJBZDBQSJ/hEUKDFRQY2yFTGB +EKBCLYIGSdAWREFCoJIAlSIQIKAFWeoSaqJA2VxAcKmALEVECsXnzfvjZN57 +z/qd7U7PsZOHV8ZCCEugLtD+dAg780LYy+U+8PxUCI/FQxgMLc6EsIm7rfDa +kOnGeT3nxphl6jhP4HwnvEX52IpCOAm9mhvCas6nwP2Q6YLslzkhlIHfwf5Q +zp3QS/AvQNOJYxPyF8GnoXHor+F8RragXPA8ZBage47zRPiN3J0Hx7Mh7AFX +cZcH3k48G4hnBzFuA8/CZym+xiJzFv3myLH2Qn4mvJncjcf2CnQq4A3oEcKj +UFv3EK6jdy82tyF7Dp37wQPhtSd8PkUCP0cnFreNneAEPodh6zz8UuTfw8cA ++L9ydx3equIQdt0WQi32K/m9L2tbsrmyJIRRnC/JHj5HgtuwOQHcgMxf4LeJ +dwj8x6EPsN0149rs4lwOrwCdZmTnoNMdXAt/ELzTyNzAf1fumoJluoGL4J+D +txuZgej3Kwrh5UJ8Ed8J6Glkzsdd0+Hg6cTYg7hHEO8G8BfYbCLXF7CRyTin +yq1yXgV+IOtcKIfKpXpKvXUG+U50R3B3Ie6aPwP+lLvPYu6RpRl/o771N+QD +uJoYXwPOI/dPIdsAbYw5J0vg9yT+3sTfTOzboEe4C3HHPJV456E/MO6cKDdv +JokL+a+QLUZmnfonZpn39T1p+1LPzQD3RL6syLlpKXCPqdeUwwTyv0eu3Vq+ ++Q/wZvhr8zxDmqUW9Pfj789u7rEFyJTluybrie0Y5xno9+buOLgmMt4IfzX8 +nIxzoRwpVzexdxJ7o7F1CDqe9WxMRv4Y+FDWszSR80HwMGx8E/fMN4BvYH8H +/Gn47Ig8I5qVMdAnnMvp94WFnoVSvncUdZ+TdE6T5KsV+SeQbcHeUeJpRzZZ +7NxMJZ6jWfduJSpHwEci+7qLu6Pgfcg3FDt25US2RyZcL/kYDa5JeoekuLsc +eVdUYuMSeDH0JOe/oSMp17466djUA7O4m4Cps+h/iP8TkXeFcv6jdOHvh7eF ++OvB5SX+zgR3u5CfETnWVdhYBn9aieNQPA9Tiw58VRNjGXf9ofHI5yO/FBoH +HoLOnrh30nLwrbR7Xz2r3tXMafbUI3Wqr+Yz3z0QwD9FnuVB3P0M7kM9ZhZ6 +92hGBxPDfHhF2gngU/A6k45FPXEz7dnXztbuHprxt0lHutoZ2h2K+V1wilpc +KXTtKsnDD1nvcuXw+6y/Sd+mnC8BzyUfr+BrOzE+B67AxnfY24vPLeBFkWM/ +gP5mzlUp96J2ykfYm5Nyr7Zz/phzbta9rp3eBTwG/WtxvxE1yM7W3uH7rnUN +oS9+m9KunXaQdtGDfNPuHPdOn4xnuzFpWc24ekS9ophriPd2ZC7nuQfUC52R +a60a3AIfS7u3p3Beq91E/u8u8m5ZWODerEh4d6gnpqCTRLYOG7XYuxL57drK +3T/gh/D3bMxvRl/wf5FlNYPXI+dQubyI7RfA3ybtU77UY8+XmKc3Rm/NuhLP +qHq2P7g+cq/Lx2rwG8QwKXjHLtP8pf3WKUet4H8jx/Y6Pq+CO9J+q7QDtQuH +ZNxbmnHNut6uevxNKvAbtoxc/FLoXtFdL+Sv5nnHaNe0Zr0LFcPhrGvXkvDb +pxrOTnk36M1bDv9FYljH/XhoBed0xm+LZkizpBqoFh1605E9HDl25bw18n8Y +/ZdRTe9A92DkXaH/EIfAayLvNvmQr7dS9qU3Wm91beT/Kuq5OnBL2r38NTYP +pE3C+sZ7kJ+bciz6D6T/QqOz7mW92RXg/wHKVWsn + "]], PolygonBox[{{6298, 4787, 4048, 3091, 6263}}]}]}, + {RGBColor[0.520089995, 0.54506703, 0.5512831924999999], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmGtwldUVhndyPCc3TyA533eS6WWYSvvP2rTWdqAx6U0MgTDFGS3iTOtA +QhuiAtaxF6GVqSi1FcESiBlEq0UsygyChA4MjdJy6yiXH/ZKL9N2ehGcUijV +ItS+j+9y/HFm7+xv77XX5V3vWjvvm7fouttqU0oralIqaPxAntJrxZTerzFv +TelcOaWvNqb0UHtKVzal9CmN32xO6faJKZ2sS6mkfX/X/jqNuzX+TMLGJedo +Q0qdOveY1r6m/Qu1v1fnL9G+v2mtmPv71fp9Q/uXac8S7XlE5441eB0Z+7T3 +sGS+pD3byt7HnpLuLup3n9aHtXduo/9+Xd+e0pmzsmeqDOotpbRD51/R+j/0 ++3eNZXMH917U9+OaX9C4TvIXS4cu6Vkj25/UfLHmC7T/v9rTVfC543G22Gxf +4IcbtO+Q9l2u3yr56LTWPtqW0nTJXVQv23T20TbPV1VSukXnrpH8eu17Qvre +pvWd0vNWrU/T+l8usf63aH2p7rpf6yu1/jnds0njBv29SPM3W7RXet+ke6do +/5D235Xsd+YLJPOOgvXHJ1t19159O5ilNKBvHdKvX+ONkrlecrqbfMfaRvur +tmDf4beTWjsZa/sk+4P6+wWNLzf6fvaNtzk+3fLBTt21X3cd1V2/0e+I5r/V +2FdrPzVrrBUO/qr1Qzq3Q+O41p5N1vf10Hk4tw/uk7zR3DHdqf0bNJ+p+Zjm +GzWfpfkuzbdKzh7JeUJn+quKkcbvVBw34k3ssJmYn5H87+f22b3asyb39xWa +H5VvD5Rt8y8q1neavr8o+ycX7NuyxpqC5eCPOU32yeLwIz5syI3J7bJ9c71j +3akzv5f842Wfu1Vrn9Dac5J5vc59vsk+Ig7Xx/yu3PE6UPX3G2L9xcx58pLG +TdJzTPPnNe+JWBG7u3X2Sp39lsbHFJsR3fuhNvsATH9X9+6UPjcKVx2Se1Wb +MQyW34qh9s2WrE3Kiw6dPdzoGBCLB3XnesldJr+trNhWYjecHFtyAGwO61su +mV+R/kvLxjo4525yHX/CNXdGPuNndJ4c+J3U6Bx8oeQ5uP5k8BL8RF53Bm8c +Dx7Bvkd07zbpsVs+Wdhgudz1JelwlXB/SmfGZPuz+nujvj+gtQeb7fc92vu4 +frO0/7NaX1B2HjxedMyI14D+7m+0vStlX2vJmACHrIPF2gbjAo5CFjLB9vJG +n+8KG+EafMfaglg/ozN9dT7z9jfugm/KJeNyY5uxPb9qjJEL8Anch+/B9806 +e2ndO9/AGzHLFNPLZP+RJvuyPmyYVnEOZbntuDtsIZ7wGXLJN+StqVjfgdCf ++BAn9J+h8y2a92o8onuulm9PBF8T53M11m1z5AUY4SzxJVc2Bzdi/x3htxGt +PVzvvBuN+Xbt+fKl9hdx62gzN1+h8Wbh45+y7QsaD8pHa7R+qGpOGo2zfSXz +CX7hb+4Am5u1b772P1V1vrdEfJ9vs59myq4hfWvQngcqrofIQOf79dsd+CEf +r23wWTCNbHCI7uiAbPIFvxI36uTU4AS49abg5B8UXRfYwzf2wI+vFh0jfF4b +NXJCrfnggPTsIRYV8+u7pPOHpf+Y1iZkjutnCo737Ipr+GW56/nMgv9e0uT8 +JGbkLfyAbT+V7NNFn6e2/LzkM70NxhIcxP1ni9bhd8LAqonmL/xEHoHDP2p9 +9URz6GidcUC890QOEP/OwAScfl3R3/AtdQPZ2PbLiu0eVky2Ctu9Zdeo/jrz +Cfk/qeh4EWdyhtx5smrd6X/Qn3wdDpx+r+Jeo7ti7HCeGD4ccQOHn644L5up +S3XGCd+oT+BqdcXxWR4xGog5uQWfUgeoq8QY3qdOziiZY4kxeJgRc3qp4ai/ +c4MzySN4jngQC/L5RHyj73g6+pDusKU+d28Fr9NfkXNgqCvqO7LxI3jui7wg +h/bFOtw6EjlIzaBvgo9Wld3fEPs/aV5tNXaeCVyBL2QgC/wti7pGfSPX4QI4 +ZWvm3qhG61sy9zRvaHw6cw5cjB6G+vb1ZG7jLBiZrzw/I/nzNHbpN1f6bGl3 +LX8l6uI1ufXt0fhMZk5/M7OfyPcl0U8NRm36YeQOOcR38ASWwM6F6KOIAXiE +o7AJ/dBtqMFn2E99whZkwgfswYfkGj00d0yKnhP8IxN5xAyegLPA1fl66/eW +X+rNCfgFmT3Rs4GhR4vWYUW7+fHedmP/9sD/hXrnIPbDTZxHn7WBZ3B9MfoW +4vGjzDJ/rXFC7jq3K/qN6eFbYk/+t4YP+sPGDVFTqC3k1bmwixxADvfBmbPC +l8jrDZnUZnADZqaHjegLJ4F1cH5txJTYrquaAwer1hdfUCsHwu/4hxgT3ymF +d/yFr7jrcOQjXHA43jWTc/da9Fz0Xoeij4UHRqKOLI9a2R+5Rw5iE/lBb4x+ +9NncgS1g8uXon1P0UfRTI1XX/fUa1+aOLdgnt8ejv/1fZu6nRx7JHR/yZl3u +eIJr9H8t3lFjwcGc3xs8B+56I3bE61eZbaLnfSg3vrZE/w6vgb2eOAdWPyZ+ ++5fWP04/mbnXoKc+FXUC29/99vswcw91rMV9FJwCN1LHyBH6M2KCrdQ3ZJE3 +Q7F+smIsLc3NkZcHTw7GWXJqU9V72MvaUPR86Hw23qhtuWtWNbc/T8fboyU3 +B07MHbdTEbvzmd8FvA+I7avxxtgWdY85ffLswAq5hb/AAzGhFyCu+Im6Rd0k +PthN/N6bW7f35M4dfFMbceJdRKyJzfTAPHYNhk+oA7wFqQOdze6xTsQb92j0 +9tSUvuBKcoL+gPyjp1gc75TByJeFVctbEjLBeEdw+xXRU31E48Gy30jg99vt +rgnU3v3V4LzMdmIv+UyfAd6/2O4+DP6/p921FD+hJzx0IfqB5yquS3Mq5p6L +Ufe3l92vkz9zmv1uQT/er7tanFvEgDwdDz3Q5x7J+XPZb2bshjvPx3sZ7nwj +3tpgFr2J+50Rf7hocvQN6ElejkZ/Qn+RWp3Dee547c1cP/Ezflnd7L6Hnocc +IBf2Z+Z13ktwIPxBHUH+vOAsuJZ3I3t2ZNZzavSHcC6c+ePMWMCeKdGf8g4B +J/8p+/84cCTvtj+0mNeIYXfUX+JzJt46x8p+l9KL0G/1hY30ZL3xtuWtTp9a +yG0n9v5E4/8BOMWKyA== + "]], PolygonBox[CompressedData[" +1:eJwllVtsVVUQhodCz2k57NPdnr3POUGMEfTRgFb0BREDAnIxpolK8UEtJBpE +i/igaEETuUnoBdPWim0RtUiC1ZYW1BJtUduCCQUfTEBNJEjUpBC5eEmACt+f +eVjJzPpn/WvWWjP/urWquuKFAjNbz5jAqA/NGtJmj6XMHmdMjs26me8rNLsJ ++/NSs/2BWXux2f3gn0VmPRAsSpjtBP8Uf23SrJjxXNasjbmlYH+yPoH9EGMr +WClzi7F/he8EfHdMNDvKaGXvM/gvwl3NuArf+6ydBTacM4tY8yH59DAXY/9D +bFRmNkLsy8SkmWsC7wQvwT4LPg58DfgT4OVw9I03u0AOM7F3ZMweJpdJ+M+T +bx/7dbH2EGf6EnsJHGUJz1m5r+F+uuBs4/yz4Rwh5iix/7HmdvC7c879d4nZ +7rzZETh34E9jzw3ge/FX4O8rMluNfZL9l+CPsP4nuGqIWQnfDPZcj72HmLGE +z3Vg72H/bdzRIyk/07u6U/DfWV+APZ3cloHPADvCeSvhPw4+CH4Au5CYP7B7 +4evS+ZgbAj/IXAf2QvAg4efr5yynmLtEfs9OMtvEeRqUb8LfVG87Pva9VQOq +BXGKWzGtYPUZr43FjPfwN+Kv4312saaK8yRjr40DrOlmbciowL/InvewfxH4 +FuL3MleM/Q5rliY9J+VWwfge7q/AOzO+h/bSGSdgn2NuZdLv/GPW3gXnKPZB +3uNO7Drw6iK/Q93lz5G/hWpYtZxl7gL+t+ALiP0i8tpSDbbij+Hvxn8N/1rk +MYpVDbVhP8h7zWOM8hZFcM5l7jB4jN2U8RpTrZ0nvpS9Nuf9rg+R39PY/eD9 +BZ5DTr2T8V69Rs495P8W/gb8Mfxe/B94/9P01LKU99QDcJSnvIYHwA/D3RF6 +bzWB7wOfG3rMHOz6tGuAev9Rxhb4a+C/Cv9+1g9lvTb1hoPYpyJ/yzQ5nsQe +YnyHfZm5m8m3Er7mwHtFNdkT+VuqRxvhXhV6TsplEfj80HtHPXQWQZoSO5dq +VLW6FXyA+MaJ3gNTwfvh+oaYadIq9uoocy2RRo2TXhT6nRn2/NhzVY0vwL5O +Ph8U+hn/l3bBXxm6tqlOwtjfRm+mt5MGSYteJf4K8cZevwWuLT/qDLFrm3pa +vb0p47Hq4fac514b+t3qDJszXjtXuN9u8JlgNYGf/Rz4YOTaqzN+Qux93Ocz +gWO/MI5H3tvSIGmROMQlzXw79jfT26lGG2OvEdWK7qQldk2SNpWT3xvYQ3B3 +lvlZRrm/utA1RVqiP2Egcq1QTao2q6iZSynvWfVubca1/xb81fjHIn+bY+Tf +C/Zk3nvvL9Y8hd1EDZXAlWBNc9ZrXrUvzhXYJ6jl4cBzUQ9lye3fwLVef8Ra +1uxMuia0SGtZU03Oy7mn2XnPQblIg4ezrrnSXvX8Lu7ipaz3ojjEtSrruUhz +tpPv15H/NfoDP8JvgPuVtNeqemw6HC3ks5z5WvZ7Pfa7lOZIe4Yj1yb1hHpD +Giet05/TTuxUzjcr7W+pP0y9WBe4Vqgn1ePqddVos/Qz73enO3sT+96ca6X+ +NP1tt8X+F0kTpY03APYPKJk= + "]], + PolygonBox[{{6207, 2461, 4209, 4207, 6289}, {6285, 4186, 3589, + 2027, 5936}}]}]}, + {RGBColor[0.604478465, 0.62193021, 0.6187370974999999], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNl1uMXVUZx9ec6Zkzc4YzOdO99zkH46UEkDdJqsV4CdMREi0znWnrU2n7 +UEwvE4aiM8XQRIEwUcELY6u2tNOBKtBWxeKF6gwBW6VYWiKV1hBv8+CVRCmG +BEvBF/+/+X+T+rCz1l77W+u7/b//t/YVt9y+ZlsppbSpLaV2jTd3p3S6mtL7 +9FyopDSs5xF9+FQrpdf1baPG23tSuqme0iuLUjovude6UlokmWXNlP4t+fdr +/Ektpbsl97C+/a03pW9Kfr32/1nzXXXr2SzZZR0p/Vp7d0j2Vq0PaH3R4pQO +az6u+Tatr9C8IdmXpWuDnvNdfl7Vc7HNus/H/ERnStdK5lmN67Rvn+zo1zmf +LKf0c8mtkrOr9b676v0P6P2ZWB+5zD4jNyk/39D8Q01/IwZv6vx/6ZzVsnm5 +3r8i2+6v+7xvSH6Zxhs07i20rlg+kKU0WwpZvU9p/csaJ7W+UbrfofPX6KyD +8nep7HxBNg3r/Q7J9+nZpe9LpO+qdseIWDFvSv5KxfFMt21ZFfbMlLwPHR8L +e7BrsuY4EkNyckfdeemTvuv1nNX8Hq1/tu787ZX8ds2Xa//b+rZVMo/qzNu6 +bMdIyXvPddlPxt/GvLviebXih2+TJT/oYe9wyfiqazwq/7Zoflzziap13Sgd +Jfn4Ss35Jn8HtHdW6yv1nJbscek6JBunZfeYvpci5sQev/G1UFwGdEb7YmNn +u9Z3aFyvp0fn5PrernGnztmpc9bq+z9q1o3evyjG52rG05D0r+zymR09jhex +Gqr4HM7b3+nxQpv97ovYtnTemzXr5p2YP1a2bHvID0YNgWG+sxd/yAG5qnfY +7jv1vNXm3M/FO/G7N2KYVSyHzOFO4wsMbpX+c72uV2plQ+B/a+wnv2dr9hl/ +d/W4VqnT/5K3qrEATv/aa6z+oul4rCrMGdhITl/S974e23d9j9/noib3VG0j +9k5Erl8v+/3GyO/FsnOMbSOxfk3h9fdq/LtsuHyx83lK87O95qCLNcd6R+Bo +InzDT+od3I3Et7cDy1cFnk/I9iXEU+/P6f1p6fqxYtIuuU93Ol+LNP+M5gc1 +/0FmDK7JzDlwI/jcDG9ovqllDA4FZsAo9pIbuAgZeKas72Paf6hsfA0FDk4p +tv/UWrf8fSyzLYMaB8hZyZj5gnT0av77zLjCRnz5Q+48/C5zLuFdYk/O4VTi +QVyoPfJOvMATWJrOvPbxzPF6VDL3JeMU3ehF/0DwLfkcC79eq7onwKmM8Cpz +ckuOwedcyLF+eeH1VmHdrIFbOO9nwRkdhblzunA8wS/xQX4u9lBrZ4NnRrvM +U8RhW8zh08GoX/aSD+YLPg2GLytjzvrSDvuJ7+PSeyZsmm26pvYqPpsq1sH5 +4O/lqC10bgt87Y5eSizhl3Xdfu8Oftyi9XsK67urMD6pNzC/Qs8bZePx8zX3 +XeIKLugTcP3JDssgS3wZwQp7qCUwOtN0j3gwc12t0fqLWh/RmdfVnQ90UhP0 +uCfKnoODKyuuDeoCmSVRjxOF+9G9heOE/VuijsgpMp+om3fI2XTk8euZe+md +0U8fbjoWow3HbTTiuaAPmSOLzePE92TZ9uPHCx3mBPwcLszDQxrruWvxlpbz +Ohx5pA4Gohbgq6Xd5izOOlF2rOAD8DcZ+CHH5PFo5pit1Tia+7yvZa6n1VFT +9HP6en/kfW3kmpzfHPP/VFz/1Abvp6MP0t/gVLiEGuDOge/vKZzfdxfmodHA +NrYvD/vhefSCS3pSf3AROtDFWcSUvWAGvny+Fve2uJNwNwFb3HmeCTyfj3q5 +runziCu9/Vz093HpfbzTZz+Rm3/adU6zMLccy82P83HV2q9y8+pJjQ8q37nO +GGvYdnwgbksCi+T//ujh1CP4ACeHG+bNC3Evvbpw7l7MzYPw4R7JnGr4/nRa +47e0vls23JDZLuqEGnk6agv7pjrtE3l/KDPuP9ewD/N7cnMA/X7h7oB92Paj +3PxdkS0rCudkUGO1cK3C5XdFjT/fcA7IJXG/rPCdslbYB3w5k/vevb/iOIxF +rMY1/insmMvdK+BEcgT+wDl4P1Z2bVAXM2VzBLwArsAUsTiY+dsvc/c0ehv1 +eaDpvO7JXAvEA7xVu1w39G5spy9iP3w5EJzZrJgr4Un87os7KfZOd3qdh1hz +7rsK5wBcEAPusNxVfpi7x5YLy3Kvou98t+F6/F7D5+2PMzfGv8kXW/73oAY+ +2LTMmbhnUVvXVi/1asZ5rMR9EL9YezbW8ZeYMx+M/vvOwvyxJ+4yH2m6nj/a +dL+ELxuFMQwPwoHw1W86zFlHcvfTP+bu+fT+ryb7MR13R9aphdm4y73Vdgm7 +jPXCfR3OuCmwD3/BTbO5ufup3GeMRU3By2CbGO6IOyM+9xaWZx819Uj8B1Hj +1Br3T3iJuFD/tzVs707pX65Yb1A/+r7G7Q3nfndmLC38i2wNPMKVRzLj8lTu +nr0qev1A1At1g/7hwDwc3AwsETOwXY/+Dv7A1vGm78b9rUt9ax7bZesHn9/W +tylx3QckOyPeW99j7uS/8Klec+VRzWd77eu6Hsshc2vDusnbh5vmRv4L9xXm +Ojhvf2F9YPahwjywwAfkkJri7CdrPn8i7urcv2b+r2+DganAM/GjX89EP38u ++OpY9Drev1PE3b7p3E5FjXyp5f/Y+1qO/5a4Kx5qeP5qZlyDb/AFf1NTcPjJ +hnNFf2Ntc/Q+7hrjwfM/zYzpl3KfwxnEnHrgTOqFuwO5ICfEiXyNhF/gg5js +azjXexu2CdvujviNBf77ox7ma6RiTgYbxJtziM+BImKlOPwPQJ9LSw== + "]], PolygonBox[CompressedData[" +1:eJwllFtsVGUUhXeYzgzMMHXK9MwpxmtAfTQQwWsQ9UEEoYBP0vKCAiHES5xK +QtR4ixdEwVZtAYFWAi0axESZCkahIKYXEoqS+ADy5IVEA4YElEe/5XrYOWuf +/e/978va/80rnln69ISIeBZpQGrViOZ8RDf4o0rEmy0Rl4oRTRx6A9zUHPFY +NuIKZ+5NIw6UIvqnRJwoRPRNihjG/i32Ifw/x/9tfNZMjjiciXgSPIr9CPYf +iDcCPoWMga/y77Yk4tbE+ESOe/DfgiwGL0E+wTbO+ePYTxK/XnFMxb5MjqvA +I+Szn3x+Jp+L5PMj54ezvkN3DSF19C/x34N/npgD6BvRc+CXkdWcncl9r4Dn +I2X0MvoC8CD+h9CXou9CP4Z+UPXy7yj4LLI7a58z4K0Vn72Wfq2jt4vwaUZf +hH4G26vo08l/Fv9eB5eQv7K+Q3cV0f9EP4heR99LjGLeOQ6A72AGH1Nzezli +E/V3ITXw8saIueDXEsdehc+FimMolnrah60Xac35jgL4G+xfgHfTjx0V91y9 +V06TwStb3GtxQFzI8q8f/I74A16B/VDGnHkC/CG5rCeXBejtyEP8m8U3IeZR +cp+N/SXyPw/5LjKzhdw5nHNP+8Ed2L/C3sss5+K3ueK7Muh1/E9j+63JsW/H +/0V6Mo1atyMvVM0hcUmc2w9+T5wMz2gt9mXop3LmyCC4hRougY/zbx56O7lv +LfnumchUuHUVfT13dRQ9c81ePlPxXUu+38P3noJrnp54F8TZW8Aj5DwH2wb+ +TUBfx/k25AHO/k3OD4M3E7+ad5+uS8xV7dT1mg+11kveNflkyOcP9OUFc/5X +7D+V3Avt5F7ibaSGJZytIfPRr1zDDPPu+XnONkyxTTHKiXdfHGgCP5qY++r/ +ELl/gH8X8ZZxvg05zX2jJe/ahYJ7pt5pBjvB/2JLiT9edM8yxNuTdQ/Ui07O +vMt9Wfy/Rq8m5p52NAW/X/FuNmAfxD7GzLry3hntzmfoK9H3TYx4HnyOeYzj +W+PfAXAP/rWJ5ri4fj+5rymZa+eQs9j/yfuNegtu3p26N+rRLvS70L/L+N89 +qXNQLuL8duJNo/45jY6lGlWDatGbsjMxR8VV1bwt8c5r95XjL3ofyLk17xyU +y0LObMj7jWhNXINqSZEOzvZU/Rbrjd4C3lQxl/Qm9Kbece26evIp9u6KfW/i +vqeIdV/qt1s1qbY7U/NOOzs7NXcHmPFzRXO4s9Ez16wfR45h7ywbd2Pf12LO +iqsPgh8BzyubC+LwDdRwOeud1m7rzdfbr383ah+qfmu1k8PgHdz3e8m7pRyU +s3LXzEc1e2LPwD5WMAcXJ35L1LP/e1d2jspNnNfZtkbvrnzEEXFFnOhL/Ubo +rdAMtoH/Ayx4Afk= + "]], + PolygonBox[{{6286, 4188, 3590, 2031, 5941}, {6209, 2463, 4213, + 4211, 6290}}]}]}, + {RGBColor[0.688866935, 0.69879339, 0.6861910025], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFl1lslFUYho/F6TAdpk77zz8zLlFrwOVOEhL3CBKNMWxt8caElhgVQlE0 +oaiAJqh1ixdGXFrFsgQ1IOqFCkbBWBOJbIqRQuKCV66JiiFegJj4Prxf4sWf +88/5v/Mt73m/ZbpuX9ZzT0tKacYZKU3Q+nlrSl1tKa3WjxUTU3pLz4N6X651 +WSmlpRLe0Ejp7GJKg3V/Y/9Grbv1bY7WMenZIPn1ena2WA75rVr36XevZL6U +zH7ZOlHwmUHJbtGzq8X67g1b6EDXWZK5o5nS8XJKTza9z95J+b1VOrol26ln +SSWlwx0p/akY7gs9+Lio6N+8Xyn/j+v3tVoPFqwfP6e3p3RIZ4/q7Hc16/sm +S2kAvS22hSxnzgpMytI5olgOSn639r+qGcO/9X6LZKbJn5+l84B0NmVzdKL1 +4Bf+fDHBttlfq3Vq0efBH5ll4fPtJeNzk97vChzA45D0/yT9U9v8Hbn5Oj8m +P3bIh09r1r0+7F4dsYPB84r3R53tKxv/STr7smLpkR+bZecfyXfq/HzpuV7y +J3Wuu+hvlxZtC3+Im3vlTmuS/0R710n+8TylK+TLkNZh+bdAdi7X2l+2Td6X +F40nGKwSPy7S79V1Yz6t1bgvlOwsPZ/Jx39L5ifYrtBej54/tTegvaWxD6bY +naL1iL4dLhn7a+TTTu111IzBzLJ/75O9tfq9v+5YxyYYAziFj/BgmmRv0JNJ +7+6Jxht/wGO06Pu6JDcWcGFcNqdL5s2CY8A++Bc6U/pNd9avbyvqxntEHPtW +Tya5Ee0VdS+PtNtHfJ/RZn3EQh4NJ/MC/pF3q/R9pZ6+NttEHhkw3t/mGOAA +PsCxc+XDiYrPEevJuNOPC85h8ndLVWfkw2DZmIPtqZKxBpdTimVx03jBEb7B +NzgDH8crxgguIAOe4A7ed+rcC9K/tt2c+Lxm23tqtjMQtn6tGC+w+u1M63qu +xXnBHVMfmrqPbv0u6Pcf0tHbakw+bDgPNmbOC96pLdwHuHF2cdE8QReYgTW4 +NQN3sLox8pwc//cMx0GM58ivyYrzYNlcBY+XkvVMj/siB/A5U1zzSvazFb4p +rnGd/StsjEetg08dJfOAb8dCflPJnNsZ8X8S/CRXkO/SOks6W+XTkTbbmReY +8N4TevBzbsm+whd0ERNy7MPPuXEWmTW5c3CvOLmx4X6wITPGK6IvdEXuEgfc +PFL6H7/xiG9y0T5wV7/Iz/Pk5/1lyxwJzG+KHkA+nKyYo/BzDzW11T1jW8Ey +u6I+rY4axf1NCT4sr7sfvFezze6wS+5uLDl/36+ZB+XcPuMvOUpNL0RPAVOw +eS0ZD/ADE2o2vQSb1A/uhnshVnTiA7VqJOrD9pr9ruTuc/siv+gH5Af3+qri +3dVhfY8G5mBP7L1xhj3uD45R+zkHT8aif5K37H0W+zdn9r2Z+04Hon9x5z1x +7/gFlnB7V3Cdd3TSm9H7gXzb2eE4Z0vnu/p+fu56yd2DO/WYGsF9bMqtl7g3 +5MYEvOdJvtFqjOkb9A9yEi7BI2zTo0ajFw9J52N6luhZ1HSdqktPb2b8Ls59 +H92BCfH8E/c1HDWPb/hGP6Uv9KnefNThWj4UdYb9l6Pv0H/urlnfi5n1UdPQ ++U6nc4z8orc/FmfhNrMG/GBWoFfMAfPcXJud25f90UfulQ+zqz63JGLk7qgj +R6OOg9PTRXMRTMEWX+7T2TlV10L2TsX+sxXrRefssDtP6zuZ73KfYlqp70ur +5ub63Dn3Uua44Toxvlk3t7fV7Rs1mfumxiB3uj9Fn+HMnrqxAjPqeH/09Dc6 +PffAcXKY2IhrQdVch+fEPRQYDsQ7NsHgWNSmY1H3n4t6CPbUxJUhx/7rwUm4 +2Rf4wYXvM/e1p5rmATUBX7fL/pp214J1en+g6tqwt+H+keWeecEBXlJnuqO/ +jzV8bmbT/v8d/fKy3HPspZHjJ2IeIhdHAiv65nBwktqEP99rXVe3/le0/p65 +Dj0iPUdrnot+iJX8IXemFD0zkSNLI+/AkFqyMGYkfF8cNWpL3TrR/Yzifrrq +mYn5YmXVM0ZX7lgu1PqL8mO4al0bc9eDYZ0djXpCXenMjRWY7chcp76uGdcH +q8aoHPMJ+Z/XnL/k8RNN84h5Z3PuGkCvLoozW6ue6ZhDqfPUkQHd0RVVc+EG +nV0oG9u0PlxxPsCPC3JzlTkCrPuCA8zyM9qDUzG7UDPOzp3XzMhvZJ65h+qW +YdZAbnvmefa2zLlIDyEfmYfoXdhgXRX58HbUJerTpw3L35pHfSy4D44Fn6i/ +1KH+dtciZvAXq57X2iI3yVFqyrHw+fS8GLMu8+bU4OTpGhx82CRcRoXLVQ1z +pRE+9+Z+79H6UN3y6zNzczBioT5RN6hR8GM4cJifOxZiAjNqDvkGv5l1iZm+ +czxmaeaavRXn66yq/49RH8EBDOiP9GVqFfHRW3ZU3F+oM/CXO8SfaTFvn4r5 +HrvIHYi+yVw3GP+J6NFzY+aZFLyFvwNRVzhL/egPLsCXJVF74TL9hx6Ir39F +v/8PlzcY6w== + "]], PolygonBox[CompressedData[" +1:eJwtlElIlVEUxw/l1NMnz/e97/mMqAwrW0qCRFFmLc2cWkUqQSUVtjELm6C0 +QYICyyl7qQ3iUC4CNdLIKMkh0saN2jJzYYm00FW/w2lx4H/uOfdM939u8uFT ++WUrRKQIiUAuuyLHOUiPErkCHg+K1EaLbFwpUoU+EBAZxF6I/RF6bUjkjE+k +JF4kK2Q+6puB/Sr4IVIAno8U8YMPICH0GmLmgauJnwYOI1VgL2fd+DZSSxx4 +VyK50F8TM0DuVsdyp+J/Cf98fBLRc9GnsIWpY9ZLTbEip5Gt4CLO0sHjHpGU +BJFM9BnwBGeD6P34tK0S2YP+Lk6kw2d3G/GpB9/Bvwi9GLlBj8vkGqIel3rq +yFlPrZ3UWE4917Ev4ucwo2vgOWJH+0Uq9L7HetRe85BmcIj6H3O/j/tJ4N3k +OsGdPx6rcQm82m+1nkOvdm22pdyfd2yGOkudQQG4wbHZxdJPP7ObpMZhYn/k +rFdtSJPOFvsL7Gfpr5ccrehZ5Igi1y+v1fod+cl8vqCngT8ge+kpJdresJB8 +B4k3CR4hRx84B3kfZW/aDn5J/nLlD3KBfjvJd5Me82NtJp2cJUUb5zqC1pP2 +dgzpQv8csNhj2D+Bc8jpBzvk2A++F7RZ6ptMO8YB5cIEd2bwH0OGwMPcGQXX +kP8tb9zgsRoy0C/S31yEzbye+w1iNbUwn1zXcul8htBP+owjyo1s7u/gbBHf +AfiwHey4xnXdEd2V0aDtknJkBHyf+d322gx1lt+Y7xj6AvF/E/OBY7NKJkYZ +9xuDxqUNnDWB1/A+y17jgnJ8Z6LVnkNd7cQbQc/0WA8e5QPnlfFWawkyyt0e +v73twn+OKFe6yNfiGieUG7qDbeh1Ptsh3R3dgRFqeoVtiPjPqPVIyHpXzh8N +Wc1au/4ZY/p3xNsO6e4cQn4E7G2UE8qN6YDtjr7pFHiTa7GVs5vBwYDtmv4B +pSF7u7s+i6VvuI16w7rjnN3CXkhN41H25j3gfZxn+2y2OvM3Adu15+R4gv18 +0GarOxhG7w4a957GwAtwC2cVMfaH6V/mBOwv0pnr7NVHfdWnFX2ta7F1RuvA +xfTf7LXd0j+oUmv32V+jvPmKbTbB3kZ3TDmuXF/i/hbup7qGtSftbT3630jb +Md015bRyW8+SsfURr91vu6p/Wqxrb6ucUG78A7wW2l8= + "]], + PolygonBox[{{6287, 4190, 3591, 2035, 5946}, {6211, 2465, 4217, + 4215, 6291}}]}]}, + {RGBColor[0.7671863750000001, 0.77125569, 0.7498462775], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJwtl1ls1FUUxi+tpZ0Zp047M/9WiAsY9wdNS6q+oAF9Mm6d1vXBFn0Q4rSJ +xrhA4UEoovHBREHrAi0gGHEjJi4YWTTRSFHBqIWo1UfXRNzRVL+f33n45y5z +7j3nfOc759yZt2S4d6ghpXTyrJQaNf6/0PeshqXNKS3IpbRP63taUtrS4vmc +SkrvSnhpZ0o/51P6VTItWr+v338rpLRb8+6cz56p+ZRkBvX9ovUX5ZQquqO3 +mtIdrSldU0qpS3pm9NX0bZX8JR0pvaOxU3rulEyvZH48LqV2nb9bOnY2pbRZ +40GNpbADe+ZKfn2Dz/ZpvEE65s7WWvd15WzTsPZrsnFM9hzN2SZGfF4QMvhY +L6Z0ofQezVvXhL692l+uvVtk0wUF+4rP1QaP78X8YNiH/Ec6353378uO9xlk +rtD4ZN5nuBt5fAHHX8KeM4THuPZnZvl8d8jX9FtX3jheKTxflfip8vWk9pRO +b5N+3X2fvhHJDOQt+2HI89u05iv0LdK3WN82nT9b59+X3YeE4RXyPdfuuP2g +eUu74/e57l7c6vPLZNtFsx1fMCI+YA9/erRfDx7VgkvX6P5M+/0aX5bNC3X+ +4cz2YcssybXo7tX6/mj2fcSRO3tk86UFn+e3y4Jj44rrmVqvzBxvuPOvsHqk +aG51BZ9WxT7Y/x5nb+v0PKs4npeXHFN8/bFof7EL/djW32SOoQfbD8z2vR0V +/7aowxj3hJ3wtCv4Nkfrh3SmudHxnIiYPi+dG6X7noJzi3yDe4zgC7YbZcuK +kv3Hn2tz5vT9Ojei/c1a1wJbMH6lyZgT64cl81DJfN+g9VTY06+xL2d7nhJ2 +5+ve1Zn1ndFomTeK1sH9i4MrnIeTh3O+b3/m2A5VHLeVJccH3uPnhsAO7OFo +d9QD7ofH8P88yf+r/fmaX9VoXJmD7VhwF3/ABTwfh1NhP/xClvPIk8djIT8S +8YNfSwqODXfBT7gJ/hORc8yxcU+T7RyX7wPy5c/ABXzWaLy14LzF9tfF4f2S +/1S+D2rvloLvJ0dvDRlwAyvyq1px/q/rtA/wY7v2e5vND+ygrrEPPm9VvC5X +XRc3NdvHm2XXpqJz4Afl41Ml60P/krDhW+2PlbwGj8HYhzf9EXfw64+6zXht +zPHpkOT6NF+umNZL9vnegnkExltyrkfk0fOZ8fxJeHxdce37RuNEh3vGc9qf +bPB9H8vfR+XH/CbzDG70BT/yyrsdJetZVXTdpwaA35HAkFw/EhxEH3rXCJ/T +mqxrX/ABDsGl9qrPba6aawPBtynhM1l039pVcc5MV1xvyGVsohZiNzafq/PH +tD6natzxH9/pF0sjT+HkUPAKDPF3MnKOOBLTbsneFfnxhHx9rNWxeSZzjJ/O +nOfkHPm8VvaO6qvnzX24AXdeK9uum8rOqa7oWdSseyNGnDsWPhDrWsQdLoMB +PF/WaX+pYR05c5bf+qquhZd2mncLg3vkOfm+UXrnVZ0vH1R8jvP0NXCmnoH1 +6qp7wWTmeFMPwGEob9/q8YH1vmRs4M/e6BvEBX0vlf17X9k1eGvU4eurzp3r +NG4Xf3qK7rfwBI7AD7gBNuA2Gnrhxj+SPbnddQK8atGv6oE5uI1ktgGOEGP6 +HX6AEdwFQ/IWG8CWGj835mA/GrpmcsYKnv8abw5y7W3xcEmrewax5X1DTdhS +NWeoAdSo8XhL7Jb8m0Xz7zvNPy+63nyv8ZR293zqHNyh/pM7U1Gr8ZPeT02c +Hxiz//sJrnfUunVV+/hA1W8mfLmx6trQH30HW8CWs19VrIc3XXPkAPwn5kPR +99dHjoPXcN6xBw/eEEejv44GT+DL/706Z6yoc3vanHPwgloJ3nANHsM3ZIfj +Tt4ucOmTirnwfZv5APb8Doemy35rPtjpOkGciNGX5eBvZhuHI3bD0V+Yv9zu +txHvor6IYYp+Aib4DrbdkeOjmefbdfdgq+NNrMGTXt4S+Yg/50Vtg7vbglfN +0Zt2FR174n44+jFx5d2D/A6NqzJzZ7zs/LsvcnBbvA95Jx6J89h6terP7UW/ +3+HEdMQCnPAfrLBpIN5mcHYwcmVRq9+C05G79cgX7jvc5jsPFF1n4Tv5Wosa +0he5fFbV+fd30dw8kLk3fJiZO7Xo7ws7zM2yYvpXs98Xu4MjM8ETcPko3tjg +in6wrcSZizvcA8B1k/SfGLWe/xlrg5PE97Oi86o79uqBAz5Mxf8X6s9MvCuJ +Ae+indHPiD15sb7VPZj++0LmHvFi5loJF/dr/A9Xj9Pl + "]], PolygonBox[CompressedData[" +1:eJwllF1MznEUx8/IUz35Px7P8///pWbEvN+YJlzIpK7MRomYjWJDW3Jjy0tc +VZIubNj0Hk1ZXmI2bxdaGaYX8u5CcV3NGHmd+ZzOxW/7nt95+X3P+Z1zUgqK +s/dPEJE8Tgyn1xdJC4hcAveAm6MibeBIvMi9aSIV3LXEiZRwLiAXhUUeTxap +DYqsT8DGwT4i8gy5BZ+5U0UyQiJDyAPoi12R2ZNEzsSK9BHLRx7j/jtnT6JI +FfEeEa8G+xzuKrkrRPYg+QEuNeiX8UY/+gL0Pfh3Eq8LjtfRR5AfTLSYe/Ed +Qr6B3sV/ELwWLkX4fw0ap1ZsxqaI/IRPOvmcRP4HfkiMJOwzuMvFvxt5OvJb +fEfIaTfxU/GvJod07Js4p8C96DvI/x26b+Tfjc9BdKmccvSf4VgI3se5irya ++L9ijbNyj7rG5QdnFbp6bHJijdMQvleQ54OLyKcdvM0TSea/qrjbDC7jbgn4 +FvVoxT6TfJbDdR11qwc3cdcqFqOZ+KPwDcL3EDb5cB5En41ugJw/wqUWv3Mh +q/WuBHtD30rizTzwe2rR51iuX4LWI9orN/FvQb8T/7iQ5aN51SEfCVmvaA1f +80YPtr3k8wr8h1gzItYrpcQbJv4bx2qtPbUC/+PIozH2h7nw7QvYH3SAP7nG +XWuutZ9JrL+OxTpMzE7i3XesN7OQt+PzImAc7oBf4vME/Jwa3dZ68151yHpR +a5TsWm9oTxRSz6fkmxG0mkbIt4G708RfyvtZ4KP430W+yHuZ+M/y7G+0Z1PA +Z0NWY61tPqcAudEx27QE6/X8kGHt+Qp85vH+SjhXejYr58PmqzOTy50fsPe6 +4LbAs9nQnBaCG4k17FgtSjiXozbLc9AfILdS/Z+w9YzGOAbeEbZa6R82Rm03 +6EyV+jb77WGLpTug37fZVo7KNdG12dH/WgOfE55x1xnQWYh61itaQ61lW9Rm +RXeE7oprvs2K7hzdPbW+7QLt8TrfdobujvEd4drMKE+dKde1mdTZ1BlqAJd5 +Nju648rB8fTHiGO9rzOrNdO8Nf9N6DeS24aw9bb+qeaguWRz15ZoPau9+xu+ +i7Ff5BnWntTe3OLZrOhMjc+WZ7tI/yjHsx7RuDrDW5H/AwwBzzY= + "]]}]}, + {RGBColor[0.825459625, 0.82918175, 0.8009545625000001], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFVktonFUYvUwyTWamEyfz+GeiSWxFXOg2r4JFfCTZVZBMkglVMZpYrCQN +qCC2aRVsfUQX3Sg0U2NqxC5a7MJiQQUbaTCQ2oiCUdHUvU2wjwha8RzPCS4u +9879v8f5zve4s314/JGxWAhhFasGa7E+hI1UCOfx4xg+9GPFsT5IhzCcCeHv +uhCeawihjPN9ON9bp+/z0B0shNC0BTrYn4dMP2TWa2EvEcINrCRsTkC2FusT +yO8thbCAu235EDrxvQ+2GvG7ORnCb/i9ZN81tl/Oab8b9p+A7RPA1AusDxZD +uAC9FtiZq5edBei8Cwy/N4YwmtJd2fbpMwa5LPbWvHRp42hasTGuH3C+At12 +YLm/qLhLefn7MCF+buLurzqdB3E3gJXA+VfgLMJ/NQrhIPS/hc4k9keBuwX8 +7MY+Cj8PI4YdKfFMDOR6HH534P4a5A9mJEeZt7FP4Xcfzq3w83W9uGe+eKY/ +5m3R5104V5P6tpxUHPx2ArG8iP0MMCZg83CDYpjCat0i/OSoxec745Inn2vQ +2Yf9tYL0XslIt8f5qrJe4uKXsaSzIZyGzH5g2Q/5sYxwrYPXGZz34Nycl053 +UfmmnRrvl33+DJy8Cv05/F6M634ZdTCL+0Ow0wM7t8LO3q0hvFFSzo9nlPdD +adUi65D57q+Tn9lI5/cj5XklLY6q0HsH8iPQ7cX3P2olT5/dSfmlP2Jhrc/D +7zliwt6Bu/aEuDqXk/5R2P8J9i+m1QdfFcXz4wXZI3fkjTt/0w9xLrnuyT/t +TWNdSspnFFM8F9yjx+FjJ3MYqc6OuW82blHfsna/BIYRxNXF3sb587TqmDXz +p/v9qQbJUeaZku5vc3zlmPyy5+Yb1QdfpGWLdvidcuzrLtyvNarumMcexzWL +2NuB5Uik2hxOqoZZz8TPuv0lJz8D4OcIVhfivej4KMv+/xG2u4F11fq0w3g5 +Y57E+Tr2oYT6mDNnDHh+hs5VfHuoQfrU/Sat3DAvH+f+nzG7cL8VtbsCmTWc +U1nZJeaXUvLXBJ0SVht8vBdpvsxgPxyJB9YFeWHPnXfdveDaYw9RLxbTbCCW +SdskP2eB40BKs2PYa9Ix0v8BYyAm9tZmvJWEaou98nJGNUrs62nJko8hy7D3 +2IucD/xd8ex63ZyT+6a8ZtwDRfnpsy9ibHLsbUnVJXNGPnhP/Kfgf6ZBeCvG +x1wwjlXXKN+Bst8C+ub8JCfsoQ6fF/x72jt98sy50+u6ZZ9wLjB/VxDrHVlx +dDmnOf9mSbOBtc4aY16WPQ//gfz2rLjutF/6/I+XhOT7/a4NFZTnTstwzmU9 +68gB+4ZyfL84N6qbcz0uGfJG/Mz/syXdc/6Rj2vmhN/bHftjBeWGM4O5Y/2S +w3sKivc7zxzi4cz+NKf5tDunb5T5Pq+clc133G86Odvp3mMPEXuP8U+5396K +9K5VnDu+CXwnmCvWyIRzR+ycR8S/mlctsI+ZT8owllOR4uYbMp1U3RBTh7FT +hu/MnN+aFdf3DWNvc41NuH8oTz42jI2LsrWeA9d9pvyAz0uR8I7nlft2v4/8 +PmgZYkkYz768avlkTjrU/SinWUZuyWGloPe5u6QamnS/csYx36cj+ah6VrHW +bqYlS4zT5mHQcRAD361L5oj1UHL98016OqV7xr1ifvoymnFXPW+b/aawBnnm +zOF/H+aP8dHGqO2wp6eNZRuw3dWomURu9ng+cG71enbdnlfd878buWUdMB+0 +MWKb7DnOu83eyLpHT2b1NrD3zmQ1ZxlDxfyT938BcUVXXA== + "]], PolygonBox[CompressedData[" +1:eJwllMtLlGEUxg9ajc742etcvk8LzSJa1FrSRXTB0V1BjHa1yLI7WpsgMrQW +0cWE3NSiuTRhNAslF0VCtUjoBlkGQULQ+A/kUIFBGf0OZ3HweM5zLs/znm9W +d/ft7C0TkTZsCTbuRIarRVIRkX7seq3IqSqRANC3mEhrIFIC2AmuQO5gQqRh +mchQSGQffpb4HeqPUnsMa4yLvC4Hv1TkNPhu8pXk/4D/iw37IqMVIuex+/TO +ghnxRDaTa8PfEhh2Eauj13yNyBfyTWGRGWwiZrVr6X+W/CK5xqjIJ2YPkC+Q +fwKvJurz9Bpk/jMwo5X0B5P2jdsm8hn8OXpM0ssnVsRPskMLuB3UZfBz/O1n +/+3EjmM5alIh46BcntO7ELXdHjDjK/t+ILaA/5PYOv5vpb4Yth2votkZZjWj +4TX829WmoWrXg71B+7Qz/y41D+HzWGzHK8zLgf9O/4vkL2BvwY8589PgdyWM +Sx39d+PfgENZhb3JKvitJzZFv3f024B/idoBZ5xVoxPgFyJ2AyvA9zqbob1V +A30jfSu9gQPUV8F9nn0Ok5/VfbV+ub31VvQfcsZJueiNraTn74jN0FlJ+PRR +/ytsGgXkX5Yb5iT5Lvj/4P7a6TeJPxXYnrrvHuWCvi88076d2H5i9ezWAb4I +fto3rVXD9/hr2PefZ7eiGiYDu9VXzGxg9j0wnSHTbI762rhx0ZvU25yltlRj +t6A3edO3W1JNH4Evkfei9i2pJuO+3aK++Rj+3oS9jXJQLrqj7qo3lfXtm9Jv +Szl04beg36Bn36BqdJn/Dznjqjt14Kec3Zq+y0awR9C0mfxHYj34ec9uX2PT ++BNReyu90RHftD2H3cL/HLfbmIHP05jFNKea5PG3BfZt6hvpW2WczdRZ+htQ +HzctdV/97fgPMg2kRg== + "]]}]}, + {RGBColor[0.9129594355950474, 0.916160239761895, 0.8776958675986122], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJwtk81LlWEQxecmdL2fvq/3er2GpUHUPxBXUIOCitrW0kyooAJJ+gda9B2B +UbtWpVFGtDHaRIsKvBLkyna1qT8h+jQIOz/Osxhm3ud55syZM/PuPDV37MKW +iJiR9chODkRMVCIOt2XFiF2liEPyO5oRhV7FgxEL5Yj9OttdiOgoXpe1BXKr +L2Jvv+6qEU+V91Hna8qZFdZfYY4KY1J35yvOeyF7LYw9BeONlIyJH5WtiM+H +XnMYEv7Fps+WGxGns4gntYijwvqRi1Nm3LY4DMm6irfJ9+tuVfFGxRy6PcY+ +UDTWfMvxw+S5g8ts1TnUvQJ23brgj2eON4uuD+a4/BHZ8NaIfcrtVM39lbiu +q850w9gjCf+gdAzdb2+6P7SmFj2t5sZdLltrNGEGi2VrdafimLP5pCWYYHBG +vZcF55O7JMwzmeu9U9zNPZ/f8t9z82WG44n/SNP9324bf6LqGvjJFLML9E/v +Y2Vj0O9imis8x1XrV+49+KT4Z+639+ueGfP6x4zqzmvpbFjf73X+rN/55N7Q +/TXxXyo5B66dtFvURDdmtZZitEcj7tClk/aT+YBBj7yFC2/g9bnmb3RHG/qi +Dm/JvSkO1zP3nCvO6p4NswMD3eE6lnhhG2k32Ct4gDM9YMypAetEr/wDYKE1 +76hPPrlnVWcl92yoQ1/U+tIw3gnhfG247wXt8N2W9+Ce/IOW3/B2MZ1zP5U4 +zMhfkt7Pc2tWrrvPzbRHzJBd+tPnHWJ/Hg26H/4beJ2rm9tq2lf27pvOL/d5 +Xx4r72pm7d/UPEtmwA6+rbnX/21GkyE= + "]], PolygonBox[CompressedData[" +1:eJwlkksr7WEUxh+XDva2//+999kX5Dr1AYh9FGHH9Ji61KEQ8Q0M3EqKMjsj +Z5NcMiETGaCQzpAZIx8B5VxK/FZrsHrX5Vnrfdbzvk0/Zr/PFEtqxkqxx5j0 +JyF1VEqtEemC+CAp3ePvVUiFuNRG7o54Miq9gP0ZuP+NnupQSpA7KZKuyd3g +X8a8t5+4NysVlVMrkWpT0ofh6S8w7yjiOav9BztdJaXpXwHTyewzZv7KSF1l +UhWkN/EbU479h02B3yCXp37HLqdfmYldyXu2uXuCu3bg0we+HVtmn9G4c/sA +c8h9x8TrxC3cKbAZcrfEx8YvdE7GxXLzoWtgu+ewN/yHmGtnmu3D6S8YsXMP +979Snwt9tmlcgG91sXPewl8FP13puSe4j8ElEjg3m1GX8tPi7qyb+aZpfco1 +MC1sRgPxb87nhHNbI5+nnuMcYO4m/hX9uxWeG077244Hro298RK4hbjXDbeI +fx5z3zQcoaf2i8c2Kxm4ZqbVVsT/Qg373kT9TyQT/ub21pYzrd9Dx5rmg2l/ +W5s5hB8PfAfjbn/kEyzzXNk= + "]]}]}}, {{}, {}, + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4957, 5049, 5778, 5777, 5794, 5793, 5089, 6283, 5151, + 6251, 5152, 6252, 5148, 5957, 5150, 5955, 5149, 5956, 6313}], + LineBox[{5233, 5041, 6051, 5774, 5792, 5791, 5088, 5468, 5469, + 5467, 5471, 6084, 5470, 6214, 6303}]}, + "0.923`"], + Annotation[#, 0.923, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4956, 5048, 5333, 5332, 5419, 5418, 4949, 5040, 5773, + 5772, 5790, 5789, 5087, 6282, 5146, 6249, 5147, 6250, 5143, 5954, + 5145, 5952, 5144, 5953, 6312}], + LineBox[{5232, 5033, 6050, 5767, 5806, 5805, 5103, 5512, 5513, + 5511, 5838, 5837, 5231, 5032, 5766, 5315, 5345, 5344, 5086, 5463, + 5464, 5462, 5466, 6083, 5465, 6213, 6302}]}, + "0.8520000000000001`"], + Annotation[#, 0.8520000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4955, 5047, 5331, 5330, 5417, 5416, 4948, 5039, 5323, + 5322, 5409, 5408, 4942, 5031, 5765, 5764, 5788, 5787, 5085, 6281, + 5141, 6247, 5142, 6248, 5138, 5951, 5140, 5949, 5139, 5950, + 6311}], LineBox[{5759, 5025, 6074, 5540, 5308, 5395, 6090, 5394, + 5539, 5024, 6049, 5758, 5804, 5803, 5102, 5509, 5510, 5508, 5836, + 5835, 5230, 5023, 5757, 5307, 5343, 5342, 5084, 5458, 5459, 5457, + 5461, 6082, 5460, 6212, 6301}]}, + "0.7810000000000001`"], + Annotation[#, 0.7810000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4954, 5046, 5329, 5328, 5415, 5414, 4947, 5038, 5321, + 5320, 5407, 5406, 4941, 5030, 5314, 5313, 5401, 5400, 4936, 5022, + 5756, 5755, 5786, 5785, 5083, 6279, 6280, 6244, 6246, 6245, 5137, + 5947, 5948, 5944, 5946, 6287, 5945, 6306}], + LineBox[{5750, 5017, 6073, 5538, 5302, 5389, 5388, 5537, 5016, + 6072, 5536, 5301, 5387, 6089, 5386, 5535, 5015, 6048, 5749, 5802, + 5801, 5101, 5506, 5507, 5505, 5834, 5833, 5229, 5014, 5748, 5300, + 5341, 5340, 5082, 5454, 5455, 5453, 5456, 6081, 6211, 6291, 6210, + 6316}]}, + "0.7100000000000001`"], + Annotation[#, 0.7100000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4953, 5045, 5327, 5326, 5413, 5412, 4946, 5037, 5319, + 5318, 5405, 5404, 4940, 5029, 5312, 5311, 5399, 5398, 4935, 5021, + 5306, 5305, 5393, 5392, 4931, 5013, 5747, 5746, 5784, 5783, 5081, + 6277, 6278, 6241, 6243, 6242, 5136, 5942, 5943, 5939, 5941, 6286, + 5940, 6305}], + LineBox[{5741, 5009, 6071, 5534, 5297, 5383, 5382, 5533, 5008, + 6070, 5532, 5296, 5381, 5380, 5531, 5007, 6069, 5530, 5295, 5379, + 6088, 5378, 5529, 5006, 6047, 5740, 5800, 5799, 5100, 5503, 5504, + 5502, 5832, 5831, 5228, 5005, 5739, 5294, 5339, 5338, 5080, 5450, + 5451, 5449, 5452, 6080, 6209, 6290, 6208, 6315}]}, + "0.639`"], + Annotation[#, 0.639, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4952, 5044, 5325, 5324, 5411, 5410, 4945, 5036, 5317, + 5316, 5403, 5402, 4939, 5028, 5310, 5309, 5397, 5396, 4934, 5020, + 5304, 5303, 5391, 5390, 4930, 5012, 5299, 5298, 5385, 5384, 4927, + 5004, 5738, 5737, 5782, 5781, 5079, 6275, 6276, 6238, 6240, 6239, + 5135, 5937, 5938, 5934, 5936, 6285, 5935, 6304}], + LineBox[{5732, 5001, 6068, 5528, 5293, 5377, 5376, 5527, 5000, + 6067, 5526, 5292, 5375, 5374, 5525, 4999, 6066, 5524, 5291, 5373, + 5372, 5523, 4998, 6065, 5522, 5290, 5371, 6087, 5370, 5521, 4997, + 6046, 5731, 5798, 5797, 5099, 5500, 5501, 5499, 5830, 5829, 5227, + 4996, 5730, 5289, 5337, 5336, 5078, 5446, 5447, 5445, 5448, 6079, + 6207, 6289, 6206, 6314}]}, + "0.5680000000000001`"], + Annotation[#, 0.5680000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVzrkyw1EUwOETWVHa0uYtbGNGoVEZjTY0VBINQ0mXFMxERalUxmuo7CEe +wU7sfP/im3Puvb/ilhYqs8upiJhL9EU02RmM2OaWNoX+iJ6hiF7ydFNgRntI +XVPjhmvy+qz3HF1kSDOtPWBLs0mLK3L68J7ix/mPX6a0+2zY17nkgqz+y/zm +nU8+mNQ2WLFXOeeMjP7N7PDMKy9MJH9nyb7IKSek9Y/mE3c8cM948nfm7WV2 +aXDsbnQgYoxhRlgtRqyxxxH/0Cg3Gg== + "]], LineBox[CompressedData[" +1:eJwV0Dkyg2EYwPHncwVr6wqS0LiAziREQjSZsRZUZkzsJ1DbKgqVC3AEjS1B +E0us4Qrhl+I37/P+36f45usvL2eXkojIs9sVsdMZMeocYY0KHfz0RPzS5LE3 +4oFFfdv+kXlaLzoLJPqX+zef3Gs1FvQt+4fmkj7hzBP6u/sHb1S1O+b1TfsH +5il93DnGn/bq3uCFW+2GOfsb3vbNk3rOmaWlPbk/U+dau2LW/rq3PXNRP+G4 +/d3aYHfEEBkutHNm2v/EW8F8aq5R5VJL2UszwDArfRGrnPEPzRU6uw== + "]]}, + "0.49700000000000005`"], + Annotation[#, 0.49700000000000005`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV0slXTnEYwPFfZGouxNYf0BxRohwbC6FFnSOKBjtvS8lUodHK0tI5hqIQ +iowZor+i9hESShk+d/E593fO873Pfc+975b65spYXAhhnKr1IQxTsTmE/cQ4 +SeGGENIzQ8gghTRSmdQWm5fQuymEK/SxR59knsw6EknggH6AHudumrSNFOgn +Nobwgbe85x0ftdvt3kGXroduyvVr3L+WeFazin3667Q7t9GgrSdfP27fG17y +mlfR87Tb7C7ikq6Ty5TpV7h/Jf90ca6BvfprtDif4rj2GHn657oXPOUZY0xo +C+3eSrvuIh3s1v8x/8tvllmiTH+VZrtj1GlrydWPmj/hESM8jt6TNt/uAs7r +2rjALv2C+SI/+MVPSvW9nIjePUe1R8jRD5s/5B4PuB99A22u3Xmc0Z3jLKX6 +7+bzfGWOb5ToO6izu5Ya7WGy9YPmQwxwlzvRt9Zm251Di66V0+zUz5p/YYbP +fKJY30q13VUc0h4kS3/bvJ8b3OJm9B20U+bTpJFBOgn6FNdUkkiO/rt+wyD/ +AUfhbjM= + "]], LineBox[CompressedData[" +1:eJwV0cdOFFAYhuHjkjUIrFSUOgyKBUTAW6AMRQXUxIWAUqQJXoRIuQER1MR4 +BUZAXVlogoWOXeQqfM7iyfkn+fJmMpNzozfVcyiE8JzrGSHcSw+hKTOEp+4M +bzpJ90RWCJOMczE7hGre2P49HMI+fzjgH1X217gae4zYNeo8cZd7yyh239Ua +ZogSvSSvbX9o/OQ7v/lFpX0brbHHsF2DzmP3Oe9ZEu4BrUH6KdZL8Mp2R2OX +bb6xxwX7Fq7EXvw+dimdGfcZ72mK3He0+uilSK+Qedt1jQ2+ssUmFfaXuRR7 +DNnV60y7S72nKHR3a/XQRYFePnO2axqfWOULnzlv30xT7DFoV6fzyH3SW0KB ++5bWbTrJ08tl1nZJY5lFPrJCuX0jDbEXfze7Wp0pdzL+P+S727U6uMkJveO8 +tH2n8Z63LPCBMvsU9bFHv12NzkN3Iv6W5LmPaeTwTPOo9wgvbLd83maGXXZI +s3/gHeM+o/G2n+Y/Yp1iIg== + "]]}, + "0.42600000000000005`"], + Annotation[#, 0.42600000000000005`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4921, 5823, 5824, 5490, 5492, 5491, 5094, 5354, 5355, + 5276, 5706, 4974, 5218, 5825, 5826, 5493, 5495, 5494, 5095, 5356, + 5357, 5277, 5707, 4975, 5219, 5827, 5828, 5496, 5498, 5497, 5096, + 5358, 5359, 5278, 5708, 4976, 5220, 5821, 5822, 5442, 5444, 5443, + 5097, 5360, 5361, 5279, 5472, 6064, 4977, 5709, 5473, 5474, 5424, + 5425, 6076, 6078, 6077, 5067, 6265, 6266, 6223, 6225, 6224, 5117, + 6172, 6173, 6040, 6320}], + LineBox[{5217, 5476, 5477, 5475, 5479, 5478, 5090, 5346, 5347, + 5265, 5266, 4961, 4911, 5481, 5482, 5480, 5484, 5483, 5091, 5348, + 5349, 5267, 5268, 4965, 4915, 5486, 5487, 5485, 5489, 5488, 5092, + 5350, 5351, 5270, 5271, 4969, 4918, 5438, 5439, 5437, 5441, 5440, + 5093, 5352, 5353, 5274, 5275, 4973, 4920, 5421, 5422, 5420, 6091, + 6092, 6075, 5423, 5066, 6119, 6120, 6053, 6122, 6121, 5116, 6170, + 6171, 6096, 6300}]}, + "0.35500000000000004`"], + Annotation[#, 0.35500000000000004`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4919, 5366, 5367, 5272, 5517, 6062, 4970, 5518, 5368, + 5369, 5273, 5519, 6063, 4971, 5520, 6117, 6118, 5913, 5915, 5914, + 5114, 5260, 5261, 5192, 5199, 4972, 6125, 5920, 5921, 5816, 5818, + 5817, 5077, 6273, 6274, 6235, 6237, 6236, 5115, 6168, 6169, 6039, + 6319}], LineBox[{5514, 5362, 6093, 5363, 5264, 6085, 6086, 6059, + 6060, 4960, 4910, 5964, 5965, 5963, 5967, 5966, 5110, 5841, 5842, + 5704, 5705, 4964, 4914, 5252, 5253, 5196, 5255, 5254, 5113, 5698, + 5699, 5697, 5701, 5700, 5189, 6259, 6260, 6219, 6220, 4968, 4917, + 6146, 6147, 6057, 6149, 6148, 5134, 5932, 5933, 5931, 6137, 6136, + 5076, 5669, 5670, 5668, 5672, 5671, 5156, 6166, 6167, 6165, + 6299}]}, + "0.28400000000000003`"], + Annotation[#, 0.28400000000000003`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4916, 5364, 5365, 5269, 5515, 6061, 4966, 5516, 6115, + 6116, 5910, 5912, 5911, 5111, 5258, 5259, 5191, 5198, 4967, 6124, + 5918, 5919, 5813, 5815, 5814, 5075, 6271, 6272, 6232, 6234, 6233, + 5112, 6163, 6164, 6038, 6297, 6310}], + LineBox[{5216, 5959, 5960, 5958, 5962, 5961, 5106, 5839, 5840, + 5702, 5703, 4959, 4909, 5248, 5249, 5195, 5251, 5250, 5109, 5693, + 5694, 5692, 5696, 5695, 5188, 6257, 6258, 6217, 6218, 4963, 4913, + 6142, 6143, 6056, 6145, 6144, 5133, 5929, 5930, 5928, 6135, 6134, + 5074, 5664, 5665, 5663, 5667, 5666, 5155, 6161, 6162, 6160, 6296, + 6323}]}, + "0.21300000000000002`"], + Annotation[#, 0.21300000000000002`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4912, 6113, 6114, 5907, 5909, 5908, 5107, 5256, 5257, + 5190, 5197, 4962, 6123, 5916, 5917, 5810, 5812, 5811, 5073, 6269, + 6270, 6229, 6231, 6230, 5108, 6158, 6159, 6037, 6295, 6309}], + LineBox[{5262, 5244, 5245, 5194, 5247, 5246, 5105, 5688, 5689, + 5687, 5691, 5690, 5187, 6255, 6256, 6215, 6216, 4958, 4908, 6138, + 6139, 6055, 6141, 6140, 5132, 5926, 5927, 5925, 6133, 6132, 5072, + 5659, 5660, 5658, 5662, 5661, 5154, 6156, 6157, 6155, 6294, + 6322}]}, + "0.14200000000000002`"], + Annotation[#, 0.14200000000000002`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4907, 6094, 6095, 5807, 5809, 5808, 5071, 6267, 6268, + 6226, 6228, 6227, 5104, 6153, 6154, 6036, 6293, 6308}], + LineBox[{5234, 6126, 6127, 6054, 6129, 6128, 5131, 5923, 5924, + 5922, 6131, 6130, 5070, 5654, 5655, 5653, 5657, 5656, 5153, 6151, + 6152, 6150, 6292, 6321}]}, + "0.07100000000000001`"], + Annotation[#, 0.07100000000000001, "Tooltip"]& ], {}, {}}}], {}}, + AspectRatio->1, + Axes->True, + AxesLabel->{ + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + AxesOrigin->{0., 0.}, + DisplayFunction->Identity, + FrameLabel->{{None, None}, {None, None}}, + FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines->{None, None}, + GridLinesStyle->Directive[ + GrayLevel[0.5, 0.4]], + Method->{ + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, + PlotRange->{All, All}, + PlotRangeClipping->True, + PlotRangePadding->{{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, + Ticks->{Automatic, Automatic}], ",", + GraphicsBox[{GraphicsComplexBox[CompressedData[" +1:eJzdvQeYV0Wy8I0554Druua8inFN6B51zavumsOaV9ew6ppzxBxRXHNCVBQw +kEQJCgwwhCEMMzAMM8DknDCu2Xem+/yqbtXhf0fvu3ff5/vm4Xma6u5zTnd1 +pa6q7v9WF/zjxIuW79Gjx/Gb9OjRVfbb9ujOf8OTHulfhPMELh91Ree/Atde +JHBoLi8RuCxWCPzjT11/FQI/GZ6vFnibLrBfrcAfhMfrBT4yfLBJ4IXh/S0C +/z0MsE3g+LfUwTpP5gfM/Gx7kcDMD5j5ATM/YOYHzPyAmR8w8wNmfsDMz67T +Ugfruvl52vnlufnlufnlufnlufnlufnlufnlufnlufnlufnlufnlufll6XDZ +6+bnWSQw8wNmfsDMD5j5ATM/YOYHzPyAmR8w87N8tNTBylfLpsO8zLyA7foV +ufUrcutX5NavyK1fkVu/Ird+RW79itz6Fbn1y8qJZfNVXmad/LyAmR8w8wNm +fsDMD5j5ATM/YOYHzPysnFvqYJV7y5YTeRm68+vk5wXM/ICZHzDzA2Z+wMwP +mPkBMz8rt5cmueT4suVeXoaPPN35dfLzAmZ+wMwPmPkBMz9g5gfM/KweWprk +0kvLluN5Gbng+cjTnV8nPy9g5gfM/ICZHzDzA2Z+Vq8uTXLpWebn5baXc14u +eD7ydOfXyc8LmPkBMz9g5gfM/KydsDTJZTcwP6+HvNz2cs7LBc9Hnu78Ovl5 +ATM/YOYHzPys3bM0yWUHMT+vV70e8nLbyzkvFzwfebrz6+TnBcz8gJmfteOW +JrnsOubn7QSvV70e8nLbyzkvFzwfebrz6+TnBcz8rF26NMllpzI/b/d4O8Hr +Va+HvNz2cs7LBc9Hnu78Ovl5WTt7aZLL7mZ+y7bjvN3j7QSvV70e8nLbyzkv +Fzwfebrz6+TnxfgG5NhPDEiOCv+pkn5xvDUZmOcuD++vk3Zg2uN02913dRx8 +L+JxrLwfmPcB0z++N1/6A9MfmP7xu4Vu/IVuvIXSPwyv3zzpD0x/YPrHcqH0 +B6Y/MP1j/WLpD0x/4O7WBTx7PObCq8eLx6PHg8ebn7fHk5+nxwvzyoUH+54q +Ke3zde75OmmP/NQg7cC0PxEG3CztwLRvHebTKu3AFn/tDn/tGT7xfJCLrj3d +err0dOfpytONtdNqMniydk5NBq9WTmX5nPf7dfB49uvg8ezXweMZGHyCZy9X +cq2Db1/2vJY6Od3uvrPUPe/t6gHOrsyO09rZY51dOtbZ2fnOLs13+qDQ6YNC +aYdOaAemHbqhHdiu52Jp9/LHz8OP24/Tj8uPw38X2PZT/vd2t5cLni7t/qRB +YOgOGDrzetfTVa519+vq19Gvm18nvy5+HRiH51u/H/m582T8zNOuo5djwx2c +l1g5VuDaixz/lTg5U+7kQ8V/7DvAdh9U4/YNNc7OrnF2ac3/9XvieJjXEIHj +ekwQOK77dIHD8m07V+Dw+VHzBY7rWCZwHN+S/9h37PuxJ/ul61Mt4wCO5Sh5 +Dph2xgkcXzdZ+gPTzjyArwyvmyX9gWlnnnZ8xW59iqUdPACHbj8tkP7AtIMn +4Mivi6Q/MO1+vTyecuHF47E7vHg8docXj8fu8OLx2B1ePB5z4SUXHu28Kh0e +KqXM1S/KyXppj/zaIHCUm40CR/ncJPDIUDYLHN/bIvARAZ9tAsfvtbv1q/5/ +Ng70QFy3jgS+tXZWtdT7fpSWPjqSXM9R8l3ks7VjF7t6tVutnqzLrKO1Ryuk +tPU1Mi6rV3Q+fvzWTq5y61CVoUcPW32U7WftdZ0XsKeXZeMTv3bucVq9mXtc +ucZh6WOp9O9h/pZm6Mjqh+xzdj5jxU6htPXDM+3Ux/fmS39K6rEvfDv12Gv0 +p6Q+9i/ItFOPfUd/SuqxX3w79diD9KekPn6vJNNOvd1fL3T7xcViH/l26uEj +1gu70vJbg/AhdibtwLRjd9IO7P3Kdj9bl/mu90fTzjiRj3zftjdIvfULazv1 +ueZh31sj8pb50E5JPXagb6c+F16A+Z6V3+3STkk9dqZvt/5Yz0fDc/IJZS4+ +oMxF55S56JgyF51SWr3QIPRg4xjZdabMtS6UufBo/dTtGTsXPW3lbpPjnxYn +X9ud/6c9E//JJbeRw3Z/1JF4+er1sZfzP3fcucbp8eHtmu7G4eFc8/Tzis8N +cXYF9vIoZx8rvG1q92IPexg7F/vXw/E7xWLvejgMs9OOxb71MHYrcsrLEc/n +3q5hvXjew6wf7/Mw62nfrzDrhxywdDhK8O3lJN9nvbxc4/u0w0+0833a4VOr +F5pkvjzHOHiOfrQzDktHGhexcYUO9x4dpx2X8q21Y/LFDrHwcLcfG+Xk51in +//OE7njO6vd8ga38LZbnkKO8Fxg5DF3yHHKV9wIjl6FbnrN6qUFgq1dbZD2Q +E6wrsNWL7fIc+GZdrN7ROAf4tfajxj3Ap42DFLj2IoGtHqoSvcN3/t3v9fsR +a9eofwn+t3pO/U3wn4/jevuIevjRx0FZH+ja2zv0g199XNHbG9Rb+h7g7IMB +jj4HCP1ZuErkvKX/sfI8MM9buEr0gOdTa4/kO/rPl+fREzyfi4953sJVokc8 +Hng+F5/zPHrG483jwc/LywHeh17yePd49Hjx8/Ryg/d7f5ZfB49Xjyc/bz9u +/x1guw+oF3oHpqSfteMbnV3TIPROP+SS1asqB2m3erYhpxykH8+hZ8Gb1RtZ +O6Y7O8XbIeALuU7p8Ri/o/4zz4fIXeoZt/U7jHLvmyww47bvLRaYcQMzzv/U +d4CtfsrKaUvXHh9efo114853zxe6ecxzfKL8+9/LyX//dyyscTkbX67Kqae8 +HvJ6xccTvD/Q1te5fUqNq69w+BgieKK0dDwh4w+i3vrP8518nS58B14pqYcP +wTMl9fCl98dQj91r/TLZfZuVb6q3vR/B2xXL9vNk7Qq/b7HfydoVfl9j/STt +GTvCy0svr/3+nvHwXuv/1vd7v4mV797v2e78BfXOb1Mv87V6pj3zfWBrnw5x +dMJfodsvzJN2ay8Nd3ode3ihtFs9jTxanHl/hPOc/ZXn5Iqev4Duea/lg4Vi +B1s7osDZ6bnmnZexK2J90c/ES15mX/TL8JaXmYffN/0yPOdl8ODn5fdZXs7a +vEDVK1ZeNjg/i/oz/T7A2/m53uP3AVZ++vNGA5z8HOLWfYDIyWXL4Tx5Hpjn +kcM8b/sVSbuVv16OF7jv+3Mm+fK8lfMl0o6c9nqA9/C8fW+J0DPP08/mfxaK +nPd6hPfwPDDPQ988Tz/ohnb0ptdDNo+/TGAbL1soz3s9RT+bd6N2gM07aRS7 +CbkIjHy2+TQdGT+4zWdvF5jn+Y7Vb82ZfYC3++lv9VN9xu7PNc7Yvza1Mzsy +4+R99I94ww+gJfX4P2y+T518x+YFaX38Xq3APGf5RuOb1Fu6HiWlt2/iY5Ol +pB66ws6m9PZNnH+xlH4/gh1OafNKWjL2gLd76Gf17ASnfyZk5m3l//TMvJEb +wH7e8D2wnzd8C+znbc9jLMnEsZYdZ1K6iuPN0qGnF4sv6EPhiL8mt79pkfb4 +vMKxbHXr0u7iZe3u/W1uXNrOPKyegU6HpnAfgeO6vJjid6Drl5fZN/PeuH4T +0++NTvH1sdRb+2Fyhk5iOSNd5ykpvU6Veuhh2fvygrR+bvJheMHs9DuFUg+9 +wCeezmKJfiGeNl/qoSf4yNNhLMvS75am67pQ6uN6NMq6RLprFjjSY6vANg8O +Pwh0qXD8jo+zEp9oFHoEhh6tHUO8okXoERh6tHZOe1Ianm8T+gOG/qxc0HM7 +Xg8A2/fXOz1Q7+iln8unGuX08GRZH+jF+s2KnV+1Ueg0Pj/SfW+40GF8fpKz +T/KEzuLzM108q0DoKI63yPkJi4RO4notcPlZJRm5Bl78vsrj2eK11tmjet4F +PCLnmTcwePV2JbCNk0zPYScWZ+w6YPgKvDFvYPxH3q4CjuOrFDxRUo9d5dup +t3RWJ7C1r5R/LX/UCv0vG8/erqh38rzeyYX6zDrxvLf7rF7TcdLf24XWb6vz +oL+3xyyfZucZ8VeXw04Cr0ukpJ7nrN6j7F5OIhdt3L7B6eUGeQ656OOaVi97 +vZ2Nc9p1a82srx+H9TPVivy242oQPYveRR7Bl8DoVeQRfAmM3kQeWftxruhF +5BF8CYzeQx7Bl8DotVxyYdlyoDgnn3u+hl/hA0unbYJP9IOH8VcyLivP8gQG +n+Cdcdv9boGTdzOcPVPs9ESRwODbrssCp7dKnDwskefAC3hC3ln5WOb0CvkE +A0SPQU8eDxY/Y0WvQV8eDzafOV/0HPTm8QB+7L67SOjP4wH8xPZ5ogehR48H +8GP3zeVCnzafvsLt3ytFDsXxVoq9ZeVsvcg15DHt7AdoB/b7SJvno/ISerbn +zTsy47BxLpWPPq+DduSlnUertCM/ea8dp/9OsxtHk/tOqxtHawYf8b01AuMX +jnZ6R2q/KL7sPl/lJXQKnUOn0Dn0auk+X+gcOoXOrXyaJHRq80QKhc6hV2Do +1MqB+ULnlk/VzwmdQ6fQubVrFjh81QndQvfA1v9ZKXrWyi3vLxzr+E/9cd5/ +xjzBt9/fsR7gN4K6fwP/4HPZ+7NZgj+//wK/4Cs+p/srK1cniryzerGfgwfI +utMfOc28rLwbJTD4gw5s/7mOzoqdnC0WfEMX9EeOgxfmxXeBWR/ohP7oA/AG +nfBdSzfzRF7SH/lo48GVabuPW/QT/MXyRZe/PUrwA72gF8CH5ZMpogeYL/OD +XpD7zIfxQy+sf/zOcPGXAvcwf6rPmZftr/s55mXjnrqfY172ed3PMS8bN1bY +7udqnX1Z6/yo9c4Pq/drYPfb/aDeT4Gdb/eHer8Ddr2PG6L3sJPAs8X3DMc/ +c539U+LslDIp0cPogwjrPoN5Iw+t3yO7f7B5hEOF3xkv/Mt44UfGC39Zfpzn ++Guh6E/7/Wa3b2nNjO/nPuf3Cd6vuGy/oeYP2/iO3mvn6dzTtafj7ugW2OZ7 +Nwod2Xjt0gxs7foK4Wtg5A/ryXxy8YnnC88HwHG+Q+S9Pg+NEnlBael/rrOf +Na5m3zfD2QOa78B7KKFD9C/0SMl7KKFT6+/QfAjvH4eO6e/zI6xfRONONn7q +88Fy+RXaHL47cvBHNq6TK0/A85V9b72j/6x8oN7Krz5OPrzo9tcjBbb2z1y3 +b5or+szKj5kCo8+sHFR9gT4bldoljMvv+/0+P35H5Zbfx1t7k32QylvvJ/F+ +EIvHdidf+4lcZj+OPuJ96B/eZ/1I7W4/3qMH+xTr9+5w/rGhwsf2+QluvXQ/ +Dp+BJ8uXZc4Oz/oLrV9L5Q3yzOPT+1m9X+Pn8pH3I/28dVL/k6XvIYIf8AV+ +rNwqcfuEMufX/t/DO/oefNp4tO6XLd2p/Wr5u5/T96Mc30yWcVm7X+Or/VJ9 +iF6w8n+I6EfaPZ5s3vsAF78dIvY37T7P194TMkTkMHzA99FDfJ91sfbzWKdf +Jsj3aef7tNt7PCbI9y2eB4gdwffQczbPYbp8j3arj6a7+0qmy/dYR77HujBu +YJvnUyjvZ914PzDvt3brgAxega0e13scwbsdr9KFXwePJ5/HYuMc1c6vVSV0 +yvv9Ono8e7z4vBZga49pPoq3D+jn6dTTjV9Xvw7gzc/Tf9fmv9Rn4iDYgchR +e5+h5iEiT/x9fT4uSD//HtqRQ/ZewfZMXrtdr4GO3j4WGL0OjF63eSxKX+h1 +YPw//6nveDrAH4WfknXCL4ldgH7HLrD6oZ+zb/u5eGk/oQdgxgEdWv0yytm/ +o1x8dVRi5anm9Vi6LRN9Ye3tyQ5vuePUwDxv7wHx51n6ZeYBzHe9vMmFN48H +nvdxci9fcuHd49HjJVfc3csPYOxAm39MvkLuvGBgey9WZWLlb6XjPz1/Ye9p +qnTzrs7QV4T7OHp70b1nlOOrkY4+RrvxTnbvm+TWc4r09/QSn58pMPsLay8U +u/kXOXrXe8SiXFjg+HqB+16puzdskbSzf7fzXezosVrwZsc1yumL0e67k52+ +mOLk2yxpBw8Wr8VOP82TduZt16VU2m2cslrmZeet51Ws/szSIXa5PY/r83r0 +3lziL/99HlCTOxfSXR6Q9we2dpMH1O7uh82dB8R3rH2u4+f71k/T6vIs2t19 +u+0ZfQG+kXvA1r7l3uclAqMnfJ6Pz6u28ni4++4E156X2RdYeTw8Y5fb9rxM +XjRwfF9BZl9h5fPwxM57gmvPE9jrNd7v86Z9npLft1g9PDyzb7DteRk73+qH +goydbp8vEhg85MqTsvd1NLr9YmNm3xLLGWI327zBfLHjsZtjfZmzm7Pnt5at +14dn1t2vg5+3zVOpk31x7Kdw5Ce9fxw7LfIz8mixwBEfS1zcodG9T+HIjz7/ +qNm1KxzXwecftbp2hX8I42sVeWjvs2mQfrFeYZ9nG8fd7PDU5Pwzei9MHHer +m3er+57Go+136wWO69gg6xzpBD/esJRe3hA4vm+QizsRTyQfcZzAUa99InQS +9dbU9Dsz0nEoHJ+f5uJv+JPxZygcn9NzEuwD4nPse+cJHL+neRnsE+Jz+PEV +jvgCrhA6jPhXPIIP8Gfx8YbA4A982Lj0DMEfMPgDH+CP+YM/YPAHPsAf8wd/ +Fj+6bwd/zB/8Wfx4f/7wjFz3ctbLdS9n0XO55Czt/1M9au2eioxdjJztLi7k +5XT8SjZOZOPveh4KGPkd+w8Ve8/u54oEtn7JiWL/+fNK3h/Kd6yfUc8fAaMf +rJ+xMnOeCNjmI5W4/YnmMXk/Kd9h3t4v5/1m3s/l/VTer+TX2foDlF9j/9oc +fhntx3M+rm39L+q/sfEEPVfk7+mx72t072nMxMmxIy3c5uIV2d+j8PcE+XHZ +cyX1zp5uyvilgP24fNweuxo40neH2NHA9n7chkyemfejW/u9JeMXs+d9WzJ5 +AsB8H7sd2N7zq3maPu/Nx/lzvQeY79o8Kb0fwO77xjq6zhcYe87uM709t9DR +/eL/2Hcs/zU4f1q92GvESa1/rVHsM/yarKOlf/INFK9x/Lq/o7RxuGY3jmbH +d61uHArzHsbB9yx9+zjHBIev6U7eqTyzcrYq49fyeszLDVs25uDTLF9An5E+ ++olfAxj9Hfu96OI3o8TPYZ/LE38Icp1+/l4r9GJ8fIrIfas/9V4r9CL+EhvX +Lha9CIxejOOeJ3qDfv5eK3uutlT0is9jtH4kzfuw8Wrv1+vn+Gmk48dJrn2m +40/1g3k/l/djIY9sXoGey/Pn7vCH+Dis99d42PtnvP8FOsM/Y/srPbLucZ4D +ZV1tHgHrNtXtZwsF79iv1r+/sBu/flYOWLmj+gc5YO8/rHX2gsJxvL5f9lyv +3Y/p/brwieXHPOFH+Av+83mg8JfNa5zh+K/YfUfzHP25DPjEfkfzRFgn3uvz +Om28cJ5bx0p5P3xl+bJC6N7yWan0y/Ue+lk/p9odwDYvq9XZgw0ZP6fni2X7 +DZtyfsfGC+qFT6yeahV5wXojL+x6znR+ID0nCt7AN/LC5oe0yziB7X277TIu +9J/N48t1flj9GPg16O/9GsDL9mtkx2XjMPUiV6xd3y74g2+8Xot4HZaO6xmX +TzdU8G35SPUc+/tIdx+6vPWJsj7wldd78bvkoUwRe8zKxSLHZwpb/8hssd+g +B9bf8p3qxTg+8kmKxd6DfqAXy0cK4x+I/UvFPoTesPvsujc6f5b67ZDT9Ae2 +v/Om/jLkNv2B6Y+fztKhxiXY5+EfA8Y/ZulLzy/D77Eeu1bh+P0mFyfw9z6j +L+F7heM4Va/6e5wtveOnUDiOsz1jJ9v3ZeWO5yNrf/UT+rV6iTyXPs4//aKz +x0YJ/Vq9NVf41OZ3jXbyfbLQr9VbJU4ulgh/oYdsvn55Jn8KPgW25z8qXXyy +wum1CuFTYPjL+pv1vJA9/5m1G6xdsdh9pzbjdwb2fmeL9+GCZ+Qb9fSjPlc/ +i/fhgnf73GRnr0xycQw91+f1mu9n6S9P1sk+NyRz/wh0Sn9LlwXuvTNy9mOd +gVln22+I9GP/Z58rdnRfJHROPf28Hvf94Adgew5L43n0YzzA7EeBKeEr3gcf +UW+/m7uf/f0W1R+WT4dIP8Znz0lOz/gt/X2V8DHvh2/9uUvqc/VjPPA54wFm +PMCMBziyzXyBKa2/udLxb7WL31fL/s3mZ2h9rn7+Hmz0jdWHXt/6c/Qt0h/Y +/64q/a0+qXX3aWjeus1D03H4uHvEf4fY0zxv89R0XPjR/H0A9p7+2ozfzfqF +/P3deg6UeCjrGtdN88zs/Zfzpb/1d2semj2XoL+LafO0q1z8U2Hok+fieAfK +c8D2fs8J0p99NP2B7TymS//I51OlPzD9oX/6R7oslP7A9AePNt6cG6827q94 +y4VXG6dXvOXCq70vv07sUeLV1k+Z9ZMv+97fZnnO+hvV/2b9nq3OH6H3V8IP +3n/u/XZ8395Tpr8PZdenWvCB3LD4198Jsuvof+cTf4WeE/d+jViv/if8JvS3 +zzU5f0iTs29anH2j8gA71e43lb8ZB/3ZDwJ7f44d5yiJI0Y8jHT27XAHD5Dn +4Eeei+s1Vuwd+C/Wc6433/lZpoo9wn4u9i8W/hqV2gcRnuf0+3zRz+zH7L3G +C50fQO+NtPsi9XtAv3bf0+T8GK1uX6P3lbEedt3aBQ8Wz3kCgwf6xbLA4a/I +2W8KW/+H3s8IbPGgfmBg7G/0OvIEvY7csHSp/MC6IccZH7A9zzk0Y7cxXhsf +LhH719tNNp5PfLjM2bmVLg5R4eLDFZl9GeO16zDE2dEDBO/wAf2tXTUzh508 +VtbF8onG0Xnezk/vM7H2bL6sI3zl18HiVe1zi48FGTvUxsnKhS95v183YB+3 +5/3oSd4HzHrB59CdvXdAz+3wPU8HPu7v7Wd/rw1yg+/5+3SgGxvvqpDvebry +eQTePvb3XI0y+qjC6bGKjP1sz//qeTb21+y/rf+mwcX5FMZPtOw4dYv053vo +e3seWu3bZdvDmjdg7zFRu8L6lTXPBLlr7y/x9rLGs/15bewOG5/R3+1Abtu4 +tdrXzIv3I995P/rU6uUOWa/YP5vXTpmrX+Rj6FPz6KFL7Blg2r1dnGufZ+1U +hS3fqJ1rf2+pTtYJPWDtw3rXL7fd6enH0ofGtYG9/WjXuyMTP7e/O/GiyHn8 +bsjtyK9TRO7ac8FFzs+Fn65U5IrNq690+K5y++MqJ2+qMnabjQf58zzsDzgP +yzpWCmzjOXVCr6yD5V+N89Df2j8K0x8/MvKG57GvbP9Gx9/qR477WY2vsv7W +X9vs+LdZ/MjR763nTqAH+NHer9Tm9hFtSd/wXJuL29Y5fzbzbZT5Mn5gmyej ++yHwYe8TbXT7o0bXL/c+y+KjyskPf8+Vj7cOEPscfoD+YzlW7Bz4A34YldoZ +sV+xi+vo73xil9h7YvQeMWtXzHN2RaXYC5Zf1L6nH/xHP9bd6hnVA9RbP5LS +Ke3Wb9Tg9I3GD+FX+iGPWAdKy1fZ+CB0T7uPB1q/VENGP0H3yLWID+IXIyTe +Z/XESLevYD+Xl67fh85unSR0AP3EduzTKc5/ONPZt+TDaPwOPUM/1hn6iu9b +IPG6OEzd70E30FvEn8bnbH5RufAPeCMeB97t71po/I12+/saPi9e89B93I11 +hM58XM3SR0smbgZ9sO4+Lmbtl1luPz9T9u/gNcLDBe/QA3iM7XluPSa5PIcC +x7czhS/j80XCl3zH5kNXOj3XIHi08Rz1J/N+71+2+UJ1zs71crxd8G1/n7FJ +/E5WHuh5fuBItxOdHp/h4BKBLd1qHq/1Uyns9b6/Hx45g7wDhu/tOvRz9kcf +5y/0dlq9s+eyvyNm9VSj02d6TtTqsWYXj212+Y7NLg+p1fnPW12+bTYv2H6n +zeG7WuxB6ATY5o8tEboDBp/IK/Qo6xrxr/c3jEr1pD13pb+fhxxGv0JfyGEL +50t/9C3tVg5rf+Q2/aFX+gMzLvqjr2m397prf+S8zdOYkSPOOE/6o+9pt/JI ++4Nn+vv8Rxs3X+jiVKXu3r8Fmf6sm7UfsnE//GH0t/a9xv98f+vXXyz87uN0 +8J3dH9dl4j02X73O0XddJt5j8xHr3P61zsV/6ty+tyqzb4mw7kfje6ozdrKV +G2rfLtsubnFyo1nkgh+/zduqc3ZXnfOvDhE+i3geKHwGbPlsgvANfjj4xt5n +OtnRMXbuVOEDYP97CNB1LAuFroGha0tnxM+UToGhU/v7kJwfXCh0B2zzeL09 +ov5vu+9qcvu5JrevanH7Nf09cdbL5uO2Cx+yDpb/+zl4gNgN9IfPWBfwwHoC +s/42X+Bj4TvWyeY7T3b8me/sy6nODikUPrH2baXQRxxvpfQHH/Y8uNob+Hni +dNR/wPyA43uHi56y+qBS5mP750l/qw8qxZ6jHXnM+lo/mfKztTMrxb7gPZ7v +rL9liNs/DnR5g0MyfGj13wSXH/+xyxOckOFLYK+PaAf27Z5vvb6x9FCaafd8 +7PWJja9n9Y3na2sv1jn/aVaf2PO9Wf3h7SL0RVwX5Lz6pS1dq1/Symv/e4Z6 +b7a/T2TZ52X87wH58zLej9Mq8iqXnY8cQ7/EeRSJ/EHexPnzezt6j7v1Q4x2 ++aGTRV5Ap+DN2kWVjg71ng34Jr5vpNO/k6U9jm9Sxk63/tX6jF1u/UmNGTvc +xumbM3a3PTeg9jb4tnHSNpEjyCub35Un8tzKH73XwO7zSty+qFzkjz1/Mlzo +1sq9avedavkOsF3vavkOsI37V8s+H9jGPapdXk+1y9vR+7L8OUt7PrfencfV +ewvxR5IHST4tMPTCPsj6cbX0fnkbD29wdNPs1rnJ0U2r6Al7f0ir6HX4zZYD +BC/ebo31Glf38sk/j/6365ovMPoZOA5jnsA2r7ta7Kv/1Hc8HoCRn8Dwn6Wn +Vjeedgdn6fj/9r3/23z3P+Uzey9njZTU232QltSjB7BrKKm38lntNOjC+s9H +Ork+2sn1fGf/TJKSeuvf8/f2z5SS+vi8nnPAfonf0/i/tYO8n71U9J6Pe0Gv +Pl+VeuwVe25P42SjUvmEXqSkHvmDH5VzCvgH7bkb8quaxL+O/MGPyjkD/Ovs +S9BXnCOI72t3cfR6iVPhNybuhJ+YOBJ+4fhepTfrR/PnWBudH0zP5Vl7RX8X +0J5rrMnQPXFk6x8lvqClzb/XeJ6N62n8CzzYuF2j6B/wYuNy6DONt1FSz/4n +jrtK4LhO+nuhkT7wE2fPFQLb8wF1gr8A/pfflcNOgd9sPpDeE235pszxRYXI +Qd6PHLTvL3B2UJF7f4l7f7mze6CjJje/Jre+em6IOCkwfADs79khLmrf1y5w +lBMKx/F3yPmyCF8jcJz3IwJH+u0v58li/zHpvLEX8WMWJYtCw5x0PYgL6n0t +8bnSHPci+XuPWl17bjuL8cXxjxA4yuMPZLyxzBM4jnuyjD+WMwWOeJgl84ll +kcBxXsUyP+JgwJEfFwi9IQ/Abxznu1Ladclz/l34YIKUdt4FQr/ML85/upR2 +3fQch12/uVJSD71D/8w/tmtJvbULygQfsb1MSurZf8E/yBPyI2zeRLXIM+gD ++QWMvLJ8lL3ny8sf7skiXyN+j3GpfvPn8ti/2jwKPXdn48bZc3V2X5Y9Nxf5 +WM9lUVKPvmVclFYP67gorR7WcVFaPdwu46KkHv2PfYq+t/vOVueXrHN+CI1X +2fwkn5+uv7/l9z+sE+uI/UFJPe/1+yN7D2Sz2CeU1DMOv39inZHT2C+U1Nv7 +DtoFD+AF+oRuKe39dLrfw85BrlJSb+8XUTsIuUtJvb1vpFXsJOQyJfU9zJ/+ +3jEwcsrqmQKRb8glq2f0PJuVQzNEHln9XyL9kD/IKyt/SoSvrF7W80DU23Oz +et7H7+Npt3HpWvkO7f5efn63Jw53oOxXKKlnH+L9q5H/p2Z+F8z6R+e7fcBC +iZdav+Ziqbfx2ErZb0G3Nq7DfGpc3m+N88fVuDzgGtlXAdu84BrZRwFHepnr +vlcscPzcfIHZJwFbf2yNO7dXk/ndgP+vzwPYjlPjFdSz37H9GwS293bVOH1X +4/zYNSIHga0fu0bknh/f/6txILmivOjj/Aj9xF8R4Urx68HP1g+h+R28h3ob +v1U/h52PlvRD7tv9nt/fNbv9XKvYQeQfwtf4Q2wei/5Okb1XfIn4CYApPb8g +r+K8Bwhs5dsQ4R97nmKswJT0s+copoofBpiSfvCXlYeFAlPSD36z8lLlJyX9 +bDxXf//JngNc6Pi0Nn1vh+Db3gOu9q2Vt7pv8/oKOWzt2Ha3DtzLPMjtO/w9 +PR+L3uaeT9tP7+kB33HdOP8yze2rfD5hoej12E/vTUUvIwfBd+yn96TSD32O +XLTnMf09qeWZe8Kx27EL/b3f6H3sPn/PN3ofu87f623tC12fn7tvgb/YF3HP +MPsS1oV9o12fCYLXuLzTBW/s68AL+zbkGnrBn4Ox+yHsAY1LwL/YKTaePEr4 +NYJTXP7+5Iyf1MaLZwk/YtdQWnpRPygl9AH9gy/oG3xBv+AL+gRf0B/4gr7i +c2WyP4WPKannu4yD7zIOu07T5LuWTzwflDk6VzqhpD72HynygHWhPuJxhLtn +eaT04znq6cdzsZwk8oN1pT6+J8/5KyZJP56j3sodvV8DeWPpYqb4bSwfzJR+ +Vk7NdHJK85+RT9AV9fG5IrcP0X5WrhU5uab50sgza89BnwuET6mnn5WDC5wc +1Pxq5J/NI8IPVS58T32ueyus/6pc5IDNL9A4AHIBORHbqzP3RlAfv1ct+o56 ++vlzdPTjOXvuRUufZxbf1y7jjTD3sakfmn48F9/f7uS31sd59xG7Efnt7UIL +q50TxzNO/Kneronv43eN+R1utWNifaH4W73dEt9D/ua8jJ0S3088s9StS/ac +YxxftcgT4DifSsEjePV2rbc7vV0Zv6d2o5XP40QughfkInhALjJv5CLz9HGK +OE5vN9XK+sbvveHkod4jb8cxQ8Zh5YO/532h46t68Udhb+Bfwr7AX4Q9wfhi +f/0dAujfxqE1L5SS/YS192tkPXmftbvR59NdnvJc0dOxXn9/3J7bLRW9hz8o +4mtw+vx7st7xvRNTuh6fzkP1c3wO/8+09H0zhB6sP3tusl14TvV3fB4/9fz0 +e6rP43vwS/N7jXrvrdfv1If+b6T7qDY9F+D1MfURz/wem/qZrX3lfz+O84N6 +3xZ8x7oiN+3+sUr4EBj6oB+w9RNoPlnEg9KH/R2AMW598mU9kE8W//McvksF +b+CR+YKn2J7y5z51gkfwRf9QrF/p4qk6b7u/rnJ4qhE+sfIr13Ma57TnQv25 +Pq0HtvFgpSMbf66V79vfTapz66i/28160Q+9B2zPlwxP7j9/uRt3LRgh9tea +f3hzxZ1W1/ssTpk//bixvfT+ijl73VgwcFBR6mcpST67bbWlHb31foqe+S9u +uP/s8uT0Yc+feOcPFcml1ct/NqWXrsfuu1S+d9HN1cnfP7/z5i/G9k8+OmX9 +ISeXvJ4cvflqczZ/a0xy1Z+KGo7fe1xy2VaDhm51U37y/ei1Ph79+045O2LW +NyNempNst/2vVhi4R2Hy09Y3b/X6eZ37838M2aFjUqecvXyNI1o/K02u+Oig +Y/c7dWFy5AcvX/a7+xYnTy5XeNXdjYuTfX569sjxa1QlZ2437JiLDqpK7rjy +D/94b05dcvpRO1++6itaUr/uU48uV7xJY9J8+bU/7tLQICX1Az6c/9S/zm9O +7nhy3BMn7K4l9Xsv2nz7zYa0JuuOWmmbG27WkvopPS756OAv2pP+Zcd/8EJe +e9LrzfVvrT6lJpm82nOPLinoL/B5ybfPXpb/usDX7fR06Qbvj0l2TeHksCOW +nLHLOGlfYYd//G6z2/IFvnDkkfuNP2CqwMeOfuqO9/rPkefP2GbUhLd3KxR4 +xnaL/tr/gnnS/+7Lj6r7dKLC7Vde+WDTF6UCv/pB2Wq9T14oz2/wUY9393xg +sbRP/PHyXvfWL/7Z8+rl5rXrL5xXr27mtesvnFcvN69d3bxop/7L1+8c9LcD +q5Lx0/+y1iqv1kl7z7b1Zr8/u076ndj+xqu/bWwQeNB6fzlvXs9GgWvXb9/j +z3s0C3zQPm989vV5Cl+/776Tr7ulVd4/88y2e38zuFXaVzvrrlOfn9Qu8Pl3 +7tPz0M8Vxm6dNWjnh44/tUbew7h3/TePu5cb966/cNyME3saGLkCjPy7b43D +Ovm4Kjl5yE6dfK0l9ZGPa5PWwNc1UlI/bZuqhTUndyStR3+76KH7O5Il95dP +uvevTycP33vFxAfPfjxZ85uaDQauV5OstcGzswfv9IHAM3591dCLR08SeJP3 +/vnNN4tnCtyr/1lbHbFcscAnN7Uf3vepBQLftOfdl5Vutyg58PKvhhw49z3t +t+vW11WVThD4+fFHfHztD9MF/vrt362wwpNzk7VSeMPPpu5w7DYl0n5A7zOP +ffqDMoHPubf1qiVHVghc//4JHWfdWS/P3zDvhbvvntYo7auHskXgl36z68AZ +Z7ZJf8p7f3vRHXfs25CskcIb//m9dV+/q0meG3TdvwZMna7v6f38wb9rXb9d +4NJr/1G9x4oPJHscesN+Ha93SP3uF3TJ77rkgrwu+V0n6x31kuanUj/+b+Nn +bNBpT/A8+xnaT3lk1bP326dWxo3+p33JQc+f/sDfa5I1Hnnv6S3W1Xr/Hp7j +O5+tvFnrGe21yW3tPy7qua7yGXRLfd2sL0dvsFZFcvdaE0dMHbRESuqPWvng +SSsN+DDZav4Ng+dvOCq58unJOz/95eSk/PtzN/+h1+Tkwx2art1h09nJtn3v +vbjvSbOS5Rbfv+SsV4uTj544uXTdA4uTbYOe7LSrFtZ/f8bsBcmRQU8uSn4I +enNRsk/QQ5XJ+kEvaUl9pPuGlA8akrz7K0P5RX2svyXoyabk1KA3m5I/B/5q +Su4O/NWUrBf4qDXlq5akbs41odx498dCfdST7anebE9u/GJsKAedXBLqsZPA +M/YLcLQ3OgTOVZ/rPV3at/7bd5LjOrXv/ZWDpKT+wgl7r3zsXyckB9z5zOcX +7z9eSurfOfGMPy15YHpSP7fj0CMmTpOS+ls/+32nHTI32XjP1TvtkkIpqX+1 +99xOu2R+cuCtL3XaKVpS3yVsZtxSlpw3uVffO3pqSf3bAU/1Kd7qkwNu3qJz +3RqTVX/VtY6NycyXu2bSnLxwUJd90ZycG/imLekV+Kgtfa42fU9t0js8X5+s +Fp7XkvpZ4X2NyYvhfVpS/5fw/pZk5/B+Lan/NNBNWzIh0JGW1E+969I1n8sf +mnRRyZxr3pOS+iEBrxOTuoDnCVJSv+J1b+dN7T8jmbf1mB9WWDJdSuojXuem +eNaS+ryA15Lk3IBnLalvCHxZntwb+LRMSuojXVendF4lJfWr93ywkz8rkrdP +PamTPytSP39t0ivYw/o7TxP/vNMhD+fp7y6deP01xe+t0ZQcHui2Jal5fuxF +xSfr76Xc+MmKX//rZc0vuPeQ71ZZ9QLdV5z39SU1n3Tqu0m7L3lj2tXvpfux +IbIP/9X9ffdp/+6d5JbNz7pmxYkTZN/PPnzOtdNKHuuk9wlD7xr7TN108QOw +D3+sou+MSfdMT+5/7cQ+G943V/wC7MP3mPng3md00vvg5tqBZ/csET8B+/BT +Nvr1GQM66T3uKzhPUpbOvyy56Zx3b2+5RX+v6+W3kgF7r1Uh8ZyN/3bYC7sM +4f6GpmTQw4/tcsIXxFdakt7vl3xyfSf9XRq+25YUFG9xwgud9DYn0G1t8nKg +Yy2p3yDQf22yV6D/2uT8QMcNyW6BrrWk/s3wfH0yJTxfn3we6LopmRjoXEvq +Pzi36/mmZOHkruebknuD3GxJTgpyVEvqj7q36/mW5PKmrudbko0CXbUntYHO +2qSk/szwfFtyS3he78HoGfCl82Ke0MMXB35Uu2qfYbL+k8K6T5T17v3k9PNO +W0HzYoeEddW82NlhHTUv9vOwPywXOw39B32+tMqzmx2yu9Z7f5XtXyEw8zkp +8IfejxTXvz45MKy75oPRXh/4R+/3iPTRlMwMdKH5X7TfFPhL7/uYFfq1pHyl +52ppX73muIc3a9D7P2K/tuSzzYZfX7NJeybPL86/PfnugJ7b9euc154DRl5c +vmp1smuQC/WpnNA89D6Bv+uTCUFO+PsbGlN+aExOCHhpSYaHes1THxjw05zU +Bjy0ZfLWDwj4aEve2HD0teUXViU/pOMCjxEfDcnsgIfsfZxx/k3pvLP3ccb5 +tqb48Plz7em825N7wjzVH18f6Lsu6Rnom7zGTj4L76lP36vn6m4I+q0xeSvo +N8VTlI+NqdzVc3ZRbzanelTP1UV8NqdyWfPnXgr83prqPz1n91bAb2sqt/Uc +HuNk3IyTcTMuf86ScTIOf86ScfFdf86SceDvgX/w9wCXpf4e214kMP4e279c +YPSP7V8vMPF14NJUPgNflspn/744P/19jMjvDSLvIz9rfD7qQ5X3qwZ6bEta +Xny891EnPCf7hOlzj711u4dfyZxzox/2fM+wf6lKxmz+0Vk9169Jvtjk+Idn +Ta5x465Lrnx+u3nvrcF9dnrubYtHtunkJy2pt3ge4PA61uEx3+0nCgWOw57n +5OdCN77F/7HveLxY+d0gMPmowOSb2vG0C/x/+x7rj6gWf8TG73Q5MC5O/Rod +Uo/+efxvZb894YvKpOK6RZ10qPkR1cHPUZ3x/9wY/Bu1yWvHr9n0Zuf39x5x +9emzr6yVevqxb2Scc4IfRNs3rBi+dNIH+h47f/0ez61wxmafvtsyWtY1zntU +8nDBLq/dcPZHyfRPhh9y6ab5ss5xHpOTdb4e8/xxJ01JNjphwcPf/X6O+52e +WcnpD1dUV9w4O3nv0x+a8veYJ3QQ6bg4+fPay2+8/+zipPiAJ9Zed7L+zk6M +Jy1Irj/tnwf0Oa80eb7/9ucWfKbnzr66Z+u9zjh1scT/qKcf+za//tRH/VHr +/OX1qbxUPenPb6E30ZP+PNeJqd58M9WTh6V6E7mK3kRPojcZhx1XdQpXi51j +4kWd+9C3w3dqk5NTOwa7Bnn9SsMT7/56qtplNn6Wl2yyctsWWz6odhp2G/L8 +vOfWu3T4OzOS32/04+N7/Tgj2fL73/y4WqLnP04O9rfacfbej5Lk5mB/q12H +nYf8j/Z4udh52H3Ya58snZt/e+e+Z5MQF9DzHc3BDq5NZgS7WEvqsTew47Db +sONmpnb2i6ndfVlqfxSkdhx2G3bceXnRzo77X7VHsOOw27Dj4r60JRl/f7S7 +sU+w47DbsOP6pHb2Cand/eNaXXB9svDtLlhL6tcMdkxT0hrsmkYpqe8f7JaW +5K5gx2hJ/R7BTmlL1gt2i5bUZ/yi4bu16Ti0pB47LuJBz2/Eeer5jchfrcna +YZwNSXsYd72U1G99Wtc4O/H8ade4taQ+7j9akvXDuLWk/sj+Xevbua/t3bW+ +WlKP/RTXry55PLWXOsL66Pn3aFfp+ZHI960yT39+BLuWefvzIdi14MGf/8Cu +xW69N7VjGSfjZpyMm3EybsbJuNEDd0xJCm9cr7+sK/t54A9SuU//E1e59JbK +E8Y4//kEgdED9P9qozPu73NcvvOXTRcYvUD/3m/fPmfDa+ZIO/t/YPQE/Q// +zQmPnvTHee598wVGbwxI+1/8t5qhLy0udf7+MoG3TvUG/R98//r5df9YLO0R +f0uSC/ueudfu6z4vdp3H2xv3nHjy3LvekPeAx1x4u+xv1xz42EPjZF7gMRfe +rp1ydsPpl06V/uAxF94qf3vIc18eUSj9wWMuvK14ffG43y+cJ+MHj7nwtuMn +F1U98PeF0h88erwBH7PK1yvN/WGxjMfSj9pF1L8c4gN1gm/0M+1nXb1g/1PL +6uR9yHu7ro0Ctz295cxbtmmU/pem8t6Ot1nge8Zces6rlzfL/JD3tKPPgTcI +9pbyGfJe6GOF7/s0/tgu7bz35sOfee28p9Qv7efJvHhu7csq9rpvUe55Mi/6 +v/z4jvmDtmvOOU/mxXh2D/Zma855Mi/eP3XBmObPPtT4S4zf6P4EPYK9Gczl +npXJ/Bnzb3hn62d7Xz96bq+FJ96U3Nswa82xhRckj+318bybfnN3ctBrl6/S +3nhXst3s2oMfOeZRsZN3evaqvnc/PEy+v871h+1x/K7D5P2fDdvq6amrjJD+ +VYsXrVvcNFH6z5mZf/7+YydK+2F//2CDG97OE3jnq5Y786K1CwQfm5zbMrig +Yoa09/1h4VmrzioQ+IDlnpp766+K5P3Dvl7l217LF8l4mo786cRZNxVJ/78c +s91Xk4eUSP+iQ17Y/KZ/lmic+Mknb9x4jQUaP3/qw03X/n259P/u4V3+MHH7 +cmnfu2ybl859uVzw0svhgXFsPu+4z7+9cIS8B7zkwsMptxXkrbMgT/AAXnLh +4bW1l64x4LsCeT946eXwwHiu+/PDO2/6hOINvOTCwwvPb/anv26tch28eDwA +j6l+79p3Rire3lh0dHJaYYV8H7/UX/r8c+ejD65MVg9x43ppPy/EjevlfZF/ +6+X7L941vfHjNZsU3yFur/Dvdjx8o7WOUj6M722R9983bVrvR+5TePqxj7+1 +x5Mt0n9CiKO3SfsmIY7eJu8/J8i/Nvf+GpkH45wc+FPn4efFPHjPqd+vcHvP +5bLz4v3Mg/6NWx63zoHH5J4X85B9aJB3Og/mRXzzgmDndCRrBvuqI3M+qjDY +Vx0iF5AT1NPP+kc0vkt9tN/0nNQ3D03rfc99Crctd8DtV55ckwz+/MDv//qu +1vMc+y/rD+nI7Dd9vc/rivZiVbrf0HNUcd+iMP38OSyeQ9/eEPZbS9L9lp6z +ivs0PX9FP56jnuewb7448If13rz07eSlhj/edWfFoNSuGZjM/Pyytr8seF1g ++vEc9TyH/bPmpCN//a/bP0nO2+QfJ9buN17ymm955ccHi/YeJzD9eI56nsM+ +mh3iS9PS+BP5nNOS+6tef+y7308VmH72vj99DvtpzXu+WmfdyYXJ+adPOLvg +Mz3n1bD/hS35eyhMP56jnueIU+0e4lfzk3tDfEvPga0RntfzYfTjOep5rl9q +f8V418JkYNhvl6X71oXJLuH5hQLTj+eo57lYX5nm01Wm/mWfj1+X7pvrUnrU +PPkD5yza9cWBYzLndU4+5fILHxrwYVL/zfqVFTfmu/uMpiRfjDvzu5IvJye7 +PbrvTte8NCfd78+W8sA/3XnYpZvOTg5ap9f+fc7LnteZHPwBxSme9ZwOZVyn +UpeXqOdOdl+zLDl43RHJJvcfs9qJG+r5ldPeHP7KuHVGJDNer7jv0T56foV+ +PEc9eY74UaJ9PSk5P/hL8tK8Rz2/8mXt7c9d1Vnf68INHy2t0/Mr9OM5Wz8z +c+5k8M77DD9sbkHyysXtzxx3kp5fSW4cULV8Z/3NX+03/7LVtT/9eI568jDx +40T8F6X+mqLUH6PnV2IcuyiNa2t/+vEc9eR14vfn3Mkrwd+zIM3z1PMr9SEO +viC5J8TFtT/9eM7W63kVzp3kBfooT3oH+tHzKzF+Xp68FeLn2p9+PEc9eafk +ocIX8Al8Q/3U90d+dm+nXbvetjM36z2zQvJU/TmU+8I+vTrJC35ErX9ipzk7 +Pf19dTJv0KVP5j1aneaxVCc3Bb+N1tOP53gP76Xe7iOrkptDPlal2OnU0y/q +EX6fVPnen9NDDmyd+idifKVd/HW8b5Pgf9DzMvTjOex87H78lPArfkn4Cz8k +fkn8jtAvfkb8jvgVoQ/8qPhVsROwM2Z/vt2E8R3jMueI0Uu9gryamuq1/Iye +ifIqe04YvRHllfq/vR6Icl7P13i5zrpdu1zd6nus/rbAZ7w5tudBx38icNOF +y88f+sdpAr966wZ9t/qoUOC8yW+OuOyY+QLXrbVf6YhF+v5VTpvx/fdXLkn+ +Om2LV3d/7COpv/6Gkc/t/PcpAk9adWHVuL6zBX541h1P71BWLPlw72683pir +Li8VePa5ry8Z/eMi6b9byM9r0PeFfLumZO0UPjHk17W6/ELdZ/Le/UL+n+Yd +Fnz80NR1z2oU+JzqojN+92azPPdpyK/z8Z0lyffpfuDo70oGX3FnRXLP2Qe9 +uH8nfOEtn/a9cC2FZx26ykfHdfI9diF2orcjvR3n7bCMHXVCzOv56dcxzwc+ +hC+vLqs5echO7yRXLnro/jUOez+pe/DszX/oNSG5cLWpOz/95YRktV/3ubjv +SdOTOS+2XLvDpjOSsUHOzU2+27jrfXOTRS/UfX/G7PnJ9hdtusLAPUqSH2tu +3Or188qSo957Z4eOSZ1l8ItWpX5SLam/OOSdVSQ7hDy0JVJSf+QNXflQFcmT +B3flQ1UI38e4RFXSEfy7tck6wb9bl+TvuOTrszvx2fPT8zc9aHZF8v0W49f4 +1UpDkmOvueigm7d4L3l92o6bDCsYn8wNenNC0q+1S69NT7a/u0vPTU+uDXpo +bjIi6KVOObBql96Ynywq6tIjJen8y9L5lyV3dsnRoVXJq11ytaoqKQ34WJJs +HfDRifeAj4oUHxXJ/nsfseehXfu+yqN3/s3K1cm5x29X9XBVpdTzHt7Le3jv +ExuvtM0N39QmI2/dYvvNflvn9iP//jj6wfO326jvT9VJydVPvtT/FN1//Lvi +6mSg+v0N+zb2my8Ef1N1cmv+kJ/u6VeVHPDjuv1u6xzPfmE/XOX8dbUpfet9 +hHF/pfcPRj96k5xni35z7stpS/VKm8Snicuvuu2V/ZsfrUlmDPzVr6v/SxyX +ODt52eRpk5dNnvaU0wuP2vjDahm/9eNqPi71v/36mHX/9vHVMr+mNWe9dsVt +j8jzvdPy0w3XuPK0bWtlXIxz63SdeB/9eI68AfIITr/9V+UH9KiTdr67QfAP +dsh3ZxbcdPTa/Tqk39t96red8pPOi3ne9u4hP53fCV+zzm1v31yq8pU8Z+tv +1Lgy8+a71JN3TB4yecfkIZN3TB4yecfkIZN3TB4ycV7ivuQhk5d81tKJ5XuW +V8k8ybuQ/PW0Hrqknjxv4uKR3mqlpJ48V/JeY96XnvuMeV16n9u5wY+h92Uu +DfaH3tcW85PaMvdI8V7yOsnzJC8TfoZP7P1x9TIO8kCJX5PnSB4MfGXvl2uU +cZM3SnybvEjyZuBDe/9ci8yTPFPyTsmjJK8SvoWPwQN4IS+V+Dh5l+TlcH9d +xENt6h/Re+24vy7OsyGdl95rx/11cR5NqX2o99pxf12M97Neeq8d99dFPLWn ++NV77RgH42Kc1CP3WHfkJnKUPBM5L5TmMbH+5GFG8V+bxgf1/rw4H73/LtKP +v/+uXvACnqgnTwp6IS+S+Dl4Am/gkXryqqAX8iSJp4NH8AqeqScPi7ws8iaJ +r4Nn8M46UE/eFvRCHiXx9rgeet45zl/vD4zzUfzF8WXvDwTv5DUSr7k/xPMb +0nNDWlLPe1mnVdO8R/IQYp5ic5q32CQl9YyDdSUvknhOlFetaR6jltT3SvMk +/f2B4IU8SfImmS94Ii+SPEnmA97IgyQvkvGCR/IeyYPkHCfnOjl3yTlMzl1y +DpNzj5yDRO73zxty0vrznhF5v/9Ge++w048fClz/0ieLBm4zRfrvu1vNdvsf +NVvgjyvv+fCiUcXSv3KnjRe9d1SpwMtd+3aPr8sWib2BXqy4eNy3yY6D5D03 +nf5W38MWfyLP3f77r5/Y+6lp0n7RJWtfUVNeKPDjw/o/ucuV86X/+9/uOer6 +HmXSPvsPU8o+6bdEYMqNznm5X/9RlaJ3zwj++ypZT8b3yjq/33bWtvXy3F57 +PzDq0ysaBY52QLPApwT7ok3G0/zaBVece7TaEeS94cenfv+3dvuw6Si1S6YH ++6NB4Kinm+S9HcHOaRX4zv1P7nHbFRo3/SC12/iOz7Mjj07yG0Lctlq+99yz +n/bbbNuKZMv8Abdf8tC1yVfPHPXY0qX3JYe0/vD2gQc+KHEB+i9aaYtxu454 +V+Ad8vscMfyjD9x5seHSnnfSLh+d/eQEgf/65UWXt/SY7PrnyfxWq//zcks/ +mC7wkAce/uD27TSOvyi1/3nfLuMO2O6QK+ZK/+8ePe2nVbYrdu8vkv5/XmnW +0Q//NF/gzUqatjnhwwUOnyXSfu3x515Z/KTSWbLFbUe9cPQiF38uz+AFPNAP +POXCC3igP3jqnQMv4IH+4OkAhxf7/iLpD54OyIEX8EB/8JQLL+CB/uDJ0xkw +39078Jn63fDDtYd8BOVb+vFcn8AHyq/s2/h+5Eflqw2DHFB+Ru/S/+Zg9yrf +vRH2AcrvomfT/mu3fPHk2+Ut0n+fwNcqD9gXSr5GkC8qh3vnmAfjtvkI9Zl5 +8B3Gbf2ZTdKfedCfcdOfefl58DzjlrycdF53h/OJHclZ4XxiR3JL0O8dKV12 +iBxBriBHkCs8x3t4jvcwHvaJ0Ad5Rugxxsm5Vvp9FeyImqRmcJddoXm90R7R +evrNOuzQ5fa5pHM9ttvxhnFPaz+e83Kbc6h8j30k4ybPQ87hOj1BPedwaWff +Sjt5PpxD5Fwi5xA5l8g5RM4lcg6Rc4lxP1+V7ue1pB5/d7RLq5IPjrng6Rm3 +LEn+/uNufe/oqSX17DcHhXjZkqTslTfmvHzJ28ljB67/ykHHvykl9dgDN78y ++i/7HNdZf+iJ5/9h6bhk+et+fcu1t38ifmX8zPE+iqnJUcfuufKxf50mfmX8 +zPF+isLk6LC/Vb8yfuZ4X8W85MpwX4Xe24Sf+bBgNy1MHgt2lPqV8TPfH+xG +zbuK52grk9fDuVqNYxDXyA/4rEuaAz7rkpHfjD/w27M/Ssp3fuiUnVtGSyn1 +6Xwbbv7gq6688rcHP/ViVx45eeVx/z8l+Sjs//OlpB589A7xwPw0jqX3/cX7 +PWYnP4b7PeZIST34iv75OUljiEfqfYDlwb9QnN4HMk9K6sFn9N/PS/OPiyWP +Lq5PaXp/iJZSn+I7+vdLkwPDuul9gtznNyTghd/zm5DOc2JKf9OT/Gm77HvN +zfyexNx0HNxPVJK+l/uIytL1L0v9rtyHViUl9Xz//vOPeGP68MHJ96lfuStb +ucvPzLjox/hOCfHd8cn9qd95QuqHZtz0uyId/2ch3jtN/NKrpH5q5sU8y9L5 +xTjf3GStntFvPTj1YzNv8MD8Y9xufrLHedGvPevV6OcGL/QDP3E9O/EzKPq9 +P22MfnDwRr/IJ/5epQqpH1X11e5Vp3+QPDF0102GFYyQfM+Ju29TdOEZH0hJ +Pf14jjgzced71hvbyTdDk3U2eLyTj4YlgweXTlv/8Pfl/rBtVuhftfzcSckT +l/Wef9nqeu9hjOtOkpJ6+vEccWfi0KuHdZiYFIZ1yUvj8vp7EJcHP93MpCz4 +7fQexNhvppRyL3Xaj+eIQxOXPundgZ18OSPZtNe6nXxakMzYaOuONTfW35ko +f+qL0RusVZw8eWTeiKmD9F7ESA9aUi/90ueISxOnLgx0MDfZK9BFUTIp0In+ +HsVPi7r8jAuSD4LfUe9JjPSkJfXSL32OODVx688CHZUkpwS6KknpTH/PYusg +XxYlC4N8KZd82brQT0vqpV/6HHFr4tjxPoCy5JYQfylP81H09zCQ48h15Dxy +/8CgV6uT1YOe1XsT3y1vnL/h4GrZR2GfUk8/nuM9xKmJW+8a9HN1qp+rU/+R +3p/He4kL4Od6KeSjVcm+FruBfS3PcU8Oz6GX0FPsf6P/rS71E7XLfnKLeZ9c +vProCvG3kZfK+6YFv0KnPgx+Bi2pB58x/l6ZntOvS89R16Z+NfyQtSleGlI7 +R0vqox9If/cq4rUpxbOW1Ee/D360ptSf0pL6U7SkPs5ff48jnmdpT+0oLamP +50E539uenmOpT5aGcy1aUn9DsGv1fvF4jqUxuSfYn1pSv1rwMzWm9nZjet9B +c+p3apGS+heC30l/b+r6gL+21A+lJfXxHHBbej6iLcVbQ4pHLamP+OR3Q7SM +fteGZHbAY1OKVy2pj/jV3/kYlZZR3zYn5wS8tia7BDxrSX08x8U5sVYp64K9 +2ip0Cx3HezXa03s2tKQ+nj9i3bSkPp4/y95PGv2u0EF9Shf1qd2sv492RFrG +cdel9xI0pvdyNKbv0d8PKUvL+F3ooTmlh+bU76i/H0IZz9U3JxsGemhLqgI9 +tCYvBnpoS74P9NAq5dmB71plnIybeTAvxs08GCfjZh7Mi3EzD8bHuJkH82Lc +9GN8jJt5MC/GTT/y4hekefLYAQeFvLvhyWv7Lmg4fu+RyYb7rDhn87eGS0k9 +ejzavXmp3p2UnBz0cJ6U1KOHdw/7j4LkgnBPzczkpaSgc59SICX16NFoZxUl +pwa9V5R8EfSgltSjB6OdVZLcGPTWgmSjoMdKpKQePXZfsLfKk5fCPSvlyf7h +3hUtqe/12L79P8irSF5/4K8/zFi/Mr1XozK9Z0NL6tFDkT6q03WuTu/Z0JJ6 +8pKJ+2KnYbexLqwTdhV2FuvAumAHYReBd9YBuwU7BjyDd+wM7A7wCp6xC7AT +wCN4fbl3zNOIeKxI5ZTev4zeRo+DJ/A2INDZuJTuxiSbhPlMTU4M88lP9gzj +L0xeDnQzJx3vvNTenpfeY7Qw2SSMr9T5MweI3sevbv2jY8UPgZ/d+jfz5Xn8 +7jZ+r353/PD2PNI8eT9+eet/WijP46e390UtlnFS7+MQjJN24hK0M07afZyC +cdJO3ML6/xbqeTAXx2CctBPXoJ14D+3ej0+8R85jpX592on30O79/Ogz2vH7 ++3wL7DjeSxzDnl/ScRHXsOeV1M9JnMPmM+i4iHtgB3JuBLsTv23Uw3o/v4/T +/PmpFzbu8m81fnTGDV335Nl7ECqTP6XtD29TPHndsyrlXjruqSMPg7wM/Hb4 +8aJfQe/nZx/Pfp19Ovtx9uHsy9lns+9mH81+mX0y+2H8ZvjR8ItBR/i94N/f +nbVl8Hu9deZxwQ8W9ca0VI9MTfffhak8KExuDvJgfiqv5qVyfWEqnxYmu4U8 +yAqRT9j10Af3UHG+nXunojyeKPdMxfHNkHulOK/OPVKxvUTujeIeqajn9fwF +92JxHj/mO1dIPiH3THFefa2Vph1w3lMVydNPPPq7az6vSAYH+0Pv1+YcP/m2 +T6T7gN2CHau/vxfjp+RltKRx+lax0+M66e/Z7h/sFv0922iX6O/ZnhPmQZy7 +Lfk07EPakjWCPVmV2sdaUh/3Pdn7rKm/9OsvH2xfvyYZ+KcbDnltYIW7f6Jz +/sFer0v3jVpSH/dDdXI/9dJAJ0uSkwLdaEn9OUH/6T3ZlNR3vf2CZ99Kut6e +N2ywlNTvvubT67+x4zspvQySkvr21qsHz9/wk+TW9sMmrdTJV5TUx3z9Can+ +/kRK6icGP9m05MHgN9OS+peD/0x/v4OS+nhfXGHSGPwNc6WkPubh6+99UFIf +742bn6wR/AdaUh/z6fm9MC2pj361hcnuQa+XSUl9tE/090QoqedcEPfIca6H +e+M4l8M9cRH/c+VeuCi35ss9cJFPy+TeN/gSPoUP4Uv4sGd6j4SNR1eJ3wG5 +j1xHziNnkbtx/HXJy8Ge13jGz713lfw67l2lPde9q/9b98QCzw1505Vy7yr1 +PzcPnPnkygOnP3ng/6k8dmDuPfD34RCPoJ5zslZfTxY/Eediaff3GXAOlvZF +qb+Sds69Wnmo51o552rvI1okz3OutSzlJ/pxDpp+8JfcD5See6YdfqOdc86M +A/6jnXPNPH95yo+0c47Znn8vk3bOLdMOf3q7CJhxcK+CzXceIu/hHgWbjzxB +2rk3wZ6/nC7t3JNAO/Pm+9yLYO8Pmi/t3INg75Mqk/dz7wH3aNj5j5LnuDfD +3wdBO/dk+PsfaOdeDNqhO9q5B8PeZ6B0xr0X/j4H2j9+7Ym9l3xWnczt89HZ +R5yq9xpzzzH3NsP33NuMPOnu3uafe44DmHMcPM89WcyfexUGGHrUvHfORdv5 +Nko756Dteuk9YZx7pp17EiQ/Pj3n7O9t8PdV0J97Gmi/JM0DpJ17Gfx9FLRz +D4O/f4J28MY93eAt1z3d9Oeebn9uh3M6nNuhPde5Hcbl7yXjXgzL3w3K/+m5 +e9rBC89zzt7KU10XztVb/tTx+HP03Cti+9dLO/eIWPncKOPl3hCrX3RduSeE +duiGEwX/3GTFU9fedXgSyzzJs1qy7cp3P/2HAoFje5HAoze/r+WEj0pc/3KB +V/jtAxsvnF3hnq8W2H4/z30vz30vz30vz30vz30vz30vT77Hd3h/eZr3xfuB +eT8w7wfm/cB2PkVuvEVuvEVuvEVuvEXyPt7D86PSPDKeB+Z5YDvfculPXhn9 +gelPP9rZP9n5VScDX5y85dBr9J5LYM73xHHXC0w7+VG0A8987fBRn//QKDD9 ++Z1K+gPTHzjOs0Vgnsd/yvPAPA/M88BL38r/474P6T0R0Okza47/1dfrKn88 +1+OWxVVfDBN6euGLvV8rKB0m6/9KY8eFH4wbJus3YNHgHV/tP0zWY2DhRa0P +3jtM8P1O17AvGSbf8fzxdL+qfVfYQvkj9lP+eO7+l75rXV7544UwvonyvZdu +OW18Sf1E+d6rYbwTZR7+O55fKl6pueDh3ym/VG0y8bA7d1B+qen3yvbX/Ur5 +pW7N21a9dA3ll8b7z2g++4cZgic/D/8dz09Pz/8sf9XtlZ+eCeNUfnr2T4Vv +/9BT+en58N4iWQePJz8P/x3Pf2PKrz3r2GHKf2Ofu2DWEYOV/z4+5YTfH/J6 +iayzXwePJz8P/x3PvxVVX3za90Dl36qAp3KhI7/Ofh08nvw8/He8PFip8foH +iqdWCJ16OvLr7NfB48nPw38HeL8Ja42YN1blzIzaUw//ZkWVK2et1n/Bb45X +udG+a9Olhz6rcuCeE/f8/m+VHQJT8t4//mH27Tcsp3Jr8cU9133xGJVT/3j0 +vAHjn1I5tOKwQXvXLuoQ2I+Let57Tv7jR21ypMq5pc0Lyg58QuXYfetsdcX5 +CzsE9vPy46If773q6D9tMOZRlYMrX/ncm0vmdwjs8eLn5cfFc7z3/pnrLPlL +UYfIRY9Xjxc/L963Ujou3sN7rf4b4PTrWKff8gUmbgFMnAKYuAQw/uP/1HeA +bT/1a1MPn/Ecpa2vy9Av9dhxzMvOT/UI87TzVTnPvCm9/AcPFh8qJ8ELpZef +4ImSeuIqzIs4CjBxEz//n/sc/aBTSup5DrqlpJ73QMeU1I9K40vQNSX1lH78 +1PMdxsV7GQf9+G556pdYtv0+wNnTnh7yxG/h19/SRVGGXuiHX8PTB3TDunt6 +oh9+D08/0BV04emNfvhnPX1Bd/CNp0f6cb+k16+ePr3+87+nSD37MtaVfRgw ++y7giM+ODJ2y/qy3p9dcdOLf699DnMfTn6/ndxEsf7U4/mp38qaf0NGo1M8E +XeBXYp3xI9n9VrGsA/mPjJ/9OXzA+IDz+qywaPc/Kvxp0F8Kb7T3ZT/dt7Xy +dUPB052WWJPwEfMDnnfU/N+VPqvwCkFfKbzDhzvP2OESlQPfPHnxmVvt3Cr8 +Dn6A69d+q++dtSoPNvr09Kvu+rW2H3BAyz+nv6vwmqfvP3LaDYpfy+fKt54P +PV95PvF0D11/kPpFKanHD+Hpxdf/XLpnHX8unVHynNVfQ2T+Vo4VCT6YP/hg +/uDjfxuv3Pfj8QBdez7lOe6Vt/K8n9PPo2Rc8Bfjgr+s/6I4Ka6/u9PS0vn+ +EOhW53vY4PcmfnKWzveIqls2fO9Ine+lV2w+7ftKne+j30y89Y+36HxbHrz3 +6utKdL6Hhud1vgtWmjyw6Amd756/HjRm5e+Ujs4Odq7Sx+Tks2N/e5jSR0ew +WxU+9cLeFX96TOnl7mCHKmzpo0ePZfuh1E/k/TreL+P9LN6P4v0Y3i/RnZ8B +PM5/pH7y4ldUH+143a96b33+IoGvXvn39468T+3CzTdfY+2rJi0SecF8c/ll +vB8GWPjgxzUOP3DjYwUeEPZ5Twoc9+2vCdyna9l3ekrw/WjnbuTil9U/Mu7o +NZf/7QOqD6rCvlftiKFPDv770N0+FLp7/MDi1U+4W/0AO+6x6jubnan6Y0zY +N6odseX5m718/Qyl//knb3pN+wjdx1930OoLXr9K9c3KF5x06bTRcwS+5Oa/ +rrjBD8ovj48a2nr4tboPrwil6qcdg/xXO2JB0BfFycMnn33P7aPVvqoJ+9/B +As/v1ErfTNR5r9yptT4eMl7g4fddtNsLG0yVeR17ywudO/ppAv9w/KkFv95G +7Z9jw75S+XPL8m/uuGycjuvqsG9Tfv3DxS/vOfoUtWeeCft/5d/TAz8p/y4N +/NaRpY/0b/Pnuhwqaq8cE8aj/D583B59HvpR7ZeKsG9V/of+c/nprP93gPOn +KnxLlxvngtedf3WAwNeM7ELs687fOkDgy8L+83UnB4YI/NYNn7y66W7vOntl +rJOvChcE/hnn/MVjBZ7aSd0n7jnO7SsnCPz5bht2WggTMna89f/mO/+vwu/0 +nPXQ2IOmyvusHqtOeuft12VxuP1AUcbu531+32vt9urkD0FvzM2sC+/z+wBg +nkePAl/8+cH1q3TMz6yjx7Pdn5Zn9g28D70M/EiQL2UZOvDr5PHK+/2+wvrV +KzL7Bewq4PcDn1dk6MzTgV83j3ePNz9P/13u5fF2G/yG3eb3m8DYL+gv6v0+ +9eX9r/6w4aPsvhV4j3PGdGoE9Qf5fe2wnw5dr+9K6g86u/b5Ux9c/Q2B1/nX +Zj1PemeQwBM3fubjS45Xftq0y4zYYrzAg17u6NSwyg+nXLBul4Ut8Dc9H75p +l/2Uvv8U5K7Cvwn6Rf08107a5cv37lC8HxLoX/0+zwY/p67DRYGe1Q80Nuiv +Jf+/nRfwt0FfKX1t/23vM3b9h8Krb7TjdpP+ofR2wO3fbzNnpMKbBX2m+6xj +e3zcftW3Cos/KsjbswSO9sprImfuumOHIXWPnS/w4Hee2feI3V8TObHij9P2 +enfdiwQe/s+uifYXPr739svGXffUJQKPua3PEW3j+8v77u9yn87XeGhDl9lb +NUbe1+fyhu8Gfarx0ZYr51y9x5Qx8r47OldpwlojBO644OHfdZrGyVVhXKeI +/H8lxBNey+iDh4O9pfGeT4K9pXLrwdkHXHTNEI2PTpjUVLPFzfk58QYc7RmN ++0Z7ZkxGP8w979z3VizUuMLqXVboy3Ny4r07vAE/mvfljmf11fjMuDm9ttzn +adUfudatO7x3hzfg4mCvKZ5XDfbaHIFz0UV369rdunSHV+DHwv5L12GnsE9Q +fVQf/Bzq1+8d+Ks94988+a1jrzzlnyrP3zp9RKdFrvI713vgw7+FfaHqhbEh +btUucmDbNM8K+PsusttM4R0OOq5xzxsU/uP9FWvetmpV5rmtTlnQiRGF7T6t +n8AfhQ9cLvBXwQ5+TOD8C7+eNeGB/gLv9Ebzpq0FT7t93iiBbwr7mxECF3aF +i779QOAvu8I9j40R+KVZKzy/xbgP3fwnC3xf4Cvdd+7xqzv2WrqVtk86aOqU +Df+ucYeeNw/caMDyUwRmfw88O+zrdd9665ABnZSo7WsVtqz9Vt85Ap+/RsE5 +e+8w29m7xc4+0n1vjMtp+2/Dfkz1xvzZ/zqp5k1tx39n7R2FY1xP4aiXSp3e +Utj6Q6qT4vA9te92CuPR9qjHVC9FPbcoQye/lA5+6Tr/0nX8pev0S9fhl+I5 +Fx49/7EfxK79uXyOXw97YPkQN1S4JPiLFMZfKPvDEJ9XP/glO6+1/78WavuS +sN/MPo8c29j5hetTv3Auv/Jnzq/s/cY7Or/w16lfOJdfeUXnV/Z+497OL7xG +6hfO5Vfe2PmV4/5c7a0/BH+c4ueqEPdVmPkwv7edHrhp6ZJ+r2zf6uJi7Rm5 +D/xI8KO0Z+219M/GezRPCdjuu3r0uD/ocx/XUj9T9EO9Lt+x/r6i1P851rWr +nwk/gs9rA57TRW7fjnXtap8MXePB497camomjwwYP4TPk/N+A5/XBvxe8JNN +zeSlAX8f6K3QPa9+LPwcPi/P+yV8Hp33K/g8OODv5t3UtP0ehe55tU+2CH5K +tU/wpwL7vC72iT4fgt8jBG4Kfuc65wdWeIMbb338kZ1033vru12CW/3t3JMO +fPHQ3U5bvlH9q08HP5m2jw55Mgo/EuywJS4+0ui+1+jGo/CboVR4raKujV+j +26c3u/Zm97zC+4Z8FoVf/ercHauHKczvM9r2Vve8wtNDPovGLfcIfvtW+f1J +i/cGty4Knxb8iwpHf36DW9cmh6dmh8dm9/4m9/0mtw6tDk+tDo+t7v2t7vvZ +fAPuowX2cYyY/6PtPq4xJcQ1iGcNT/lgoMDR/615G9Hfre0xL07j/tFv/FYK +58nvSAAvCHaB5nlcE/S6tq8Y7LHxAl8W9vUfi1yNdsRUgUcE/4zCywc9pvAf +wz59msBRLqkfO9pJmjcSxN5mCm8f7ASF435A8wS2DvsA9YPzuxbAWwW9p3kn +Mf9K26PeU/jwoBfVTx7pWvNSDtv20ddHHK9wzIdS+J8hb0/zCC4J+6GFybBD +T+7/zzXVHxjz6RSO9Ffv6FNh1sPSR14mzvBJsDO1vdrFHd4LfqK3ZD2gD2Af +l7juw4aPnrtA232c4pJOq2nzNT6R9YA+gH0cY4VAX7njGt8FO3Sayx/S9fVx +jx2CHyl3HCSuv+pB6APYx0miX2meW9/5bv3nd7uvtPkzGp+eEwj8HWf/aLz6 ++zD/CY6eNX596O5zK6ZfNl3G4+PZh4fxzRW6wi8MfEnQZwr7ODVxXOIczIc4 +BDBxA2D8/sD47e0+Uv2F5JED9w96J5tf4P3U9PN55firfX6M92tjB/cK9kRL +xp/t88CBc31naIhr6b7B+835zsFhXdQvQrwfmPf5vADi5vTzfnfey/uw93Pl +FRB3p59/7tROaXHmi9o/l9+W+eXy2zK+XH7b3V8rKF1vNf3ueZ1SbP2DOzL5 +crn6PXrtq2cffLmuw0ehVPglF3eIpcJD07gC46oMpcLWPzA8zUdXPRzlrrZb +/0BeqpdVz0Y5+KHA+AeQC6PDfknzK7cKeJvs5PQskRNRT88ROOppbcc/YOWk +6sHSQAfajn/AysFSgb8Lelth/APd5SEAd+c3684P1p1fqzs/VXd+p+78SOxv +kUP7B7u43dmPCjcGe7TN2Y/a7v2s94a8aIW9HzWeB9D9M3Th98ENwa89WOhg +ntvnrhr8SuNz7lOP/+LG4WcumSbr7PeRxwW6KMy5j7sm0IHql1x5BvBpd3z8 +P80rsPm0tU5/+Hx/hQuCva77xb2CPe/zz+qc/V7n7Pu6TB5krjwZa9d1nxcD +7PMoc+XBAPs8y1x5L7nyMHPluQCzvsgR4Gj3KrxiKBU+7uMh5/7981KBvw1+ +g9LMe3L1A8ZfZfVUq9NjrRn7wPsRu/OLdedn9OOYH+SswtGv2f04475P87jj ++qp+6Rv8aZqnHfNQVV/EfZ7mYcd9nuqHvoHv/st5psA3qg+GB/2o+iDmvSrc +XV4a8pJ5jQllu+N7hXPt+3/pvj7Xvt3mS+t3Lw7r1+bWt/txo/cjn7yY0y6I +cdIXZN34ndpcdkHcD30k6xjFwpScdkHcn0yRdf0wPDBbYG8XxLj8bFnnaOfm +tgtWCPSqfB7lTqnTD6VOTpRm/F6/1K/1S/1WufxSwKwf/hrgYUF/qDyI/gFt +93GDw4J80Pxzfk/Inr9S+JSg5zW/nN8PAo7rp/DFQe+3iL3L7wUB9wl+W4Vv +7rSS3ti1XfYhP1fudEf31q+u+cb3ujyEwSHO/kTOvIRbgp/7KaE/n6/s8wqi +/0Lbq12eQfRffOj8A5rv6fMEdh5S99h6x2q7zxvYvOH3Y+8qnSz06/Olfdz/ ++uAP0XafB/C34A+Z7fzixTnj9JXBD6TtPm5fEuRsseObrJ/o323n2Lz87v22 +UY4MFbkX/RITRa5FOprh9jPqx4vtJS4/UP1o/A6czZ/XfGV+pw14QojX6X6+ +JNgrur9jnwsf2ThkVcbOs/Zfk8NPi9NfOo4obzoEL3Gefdw+cKTzF01y/tGZ +Di8ax+H3qH0cxO4Dhwg8M+SRvePkv/qbvn25KzFngrzfnusqTw7pxOa8m6YL +feJ/Aj4s2PtzM34vPw7v96I917i8H8y+v9yd18iO2/vJeN7GFSe4c1+55+n9 +auR7QkfQq/fDQI82r0B/p5p68l6AR9y85ef3/EvbvR7zesjrGa9HwPs9Lk7a +HPIaBgueC12cc80utXLteMGjj0P+uVPb/alwWs444PHBji8UO8zjw+f1jD7/ +mVtOG1/p5EQ/xw+jnH0y2Z27mZXGZVR+xPMkyrcx/+1A4dO4X3tSYH+PBOM7 +/JVL73v7YF2nxV3q7wSF/9G1HX9B4QV5w3vOeqgqlZt1Tq52v6/08ijXe7o7 +t9HduYzuzl10d66iu3MT3e0Lbbw+z8W/C9z5nCKJL1u6KHFyUvcruc4VxfP1 +uc8ZRfz+/LikP5cUz9vnPqcU9zsKdxen9H6mu8L7cvud4vgUjnpf4WgXqP/k +nIAPhfMDvlSfeb6JdHZ3Tj6Kfo97cvpVY17Gi7Lu3o8az6WNzuk3vSzYz7of +8n7SEWG/pX4P7xeN8SUfD9L9TYwXlXYbx+8uLt9dnN3fi+PvvQEf3k8Q+XRk +Tr9B9AupveH9CLGclNOvUBrsKLVPvJ8hfn9mTr9D/L7aM94PEcvcfokRYZ+j +csX7KWKp8PLObxHtwAVKv85ujfPReHqkn/dz1gODX2/3xni2nquPen1iznpg +8L3PgL+dftLhajfH+J6es4/38szIWQ9s/YBqdx8Z9JfCVwV9NTdnPbDNe1K7 +/bKwr9R4erw3J3e9rHO6Pt7uj3pE4XgPTlnOeu+P9HbZpV3u8iLVx8t9MWZS +U01VznrgyK+Njl8Vjv4G5e/oj1A5PinITZXLfwlytc3J/V+et+TtgVx5N9Yf +m81D6M4P4v0a3m/h/RLQseWvvDS+PVToEn4BPiLQ8UShM/aNwFHezRC6gZ6B +/x7oTO186NPSU0mql9sy+PP7TG83+n2ntyP9PtR/x58D9+ekc527ZF/anV1p +9wfd63E//xjXU3tgbRfXimV7Jk/pv89DGp7JQ8qVZwTs84xy5RHZeEj3eULA +Pk8oVx4QsM8DypXnA2zjC7nzmON3G1wesfLZPSEuqP5D/N3AUc7rfROsH/Db +Gw1Y/s0Ldf3+t+SYz5vMlRdpz0PmpfFJvYcgxiffl3X19xJEe0z9Bv6egmhP +qnzw9xZcHfCt8uEyd49BjLOWdLuv685utn437Rf9cu3d5vV1l6fXXd5dd3l0 +3eXFdZfnZv3KSs8xHqb0fHPIE9d8kJgHrvT6Sjgn1d5tni33n1s/U0VmPxf5 +Tf39kZ/qpd766eqdPT08xdtQKb19d0Sgi4lSenst2tMzpKT+q3Wv2H/W90o/ +rMP3+/RdLZnxX+jz9D+eeMipqq9qb17lxT9U/5dz+S9Oqjn8yorkskGLivbu +pXLitl1efrnkWtXHj79/9iU3jW7L3M/2yeHPnfHg64qfy18rvnl8Y31yTP+t +fzP0LZ3v5E/u6DvyEp3fX3e9fN0nb9f58F3GwXcZB99lHMz7gZXPu/ulTjxc +mX6XcTAuxrllOk/mDZ7AG3gCb+BJ5HM6DzuvPJkX82Be/wd1ls73 + "], {{ + {RGBColor[ + 0.10372206117797761`, 0.10436141743811188`, 0.10500994850363238`], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJw1Ur1PFHEQnbvlPti9Zbk1tz87oKWBRo5AIsmVBmNyR2nFZyCK0UQSe6n5 +TAAxBv8BDgobTbxrLagwIUgJlVLR2Rjey/tZzM7s/GbevPkYmn3VXM2bWRMS +QDr45CFTcB7UzN4Wzfahb3tk16HTzCwrmVWhX4Zm85HZGeIbBbP3JWF8D/RP +HMoLxJ0Dvwv/OmIC6P1Q+T/h382Uu5Mpn/XIg3GsRfx3OeUwntgdz/N5RZjE +7oX/d6j6t6Fw/vc0Fyl+zilmFnoTkod/A/oirzzGdPH+DP7hQNz3PP9//WYz +MXjhLYe67Ugz4fsR7C85ccl8j68R8wbSVxCXuu/rR6Q3+lsVcaP/r/ezl+yh +enPQW041t6EXnXpbcsJr+9x5/P+Bf8EJgzWIcxoJlzZ3RV6cJ2fFftk3/Sf+ +jb0P+5gr9Por1p5KVbNl2E8KEvbP+oxjPPdynphdxprZjROHa+hvmNtdn2bE +eZAfOV34++Bs14rCJeYJYteQ8xExj1KzKFEfI078Rp04sTbrruL9CPweA3cU +8xqAPQU9DfkKewS6kgiLOFfADhP1fOpnw97H8T4Zixt1kMomD94eb/Az8h6k +2t2Hmngf1nQD3D97OQb/NuQw0m45D/bJ/TT83MvAGUu1vyI4TsSaKXU9lb0S +a+6cy9NUtVmXeb2JcnmPg1Xdxyf4olQ31YK/XNV93wPIqHul + "]], PolygonBox[CompressedData[" +1:eJwtkr9L1WEUxh/vVa/e7/3l1fv9OgTR0HzddHJoFCTItUmtKFIhUAhq0ylI +/AGaV8T/4JbgopCCk4OTg6hDUE3lFDQ0JH0eTsML73POec45z/O+9ybnHs3m +JDU5nZyrsrRXkqYTaaYoHdSk2ao0Smy/Q3oIPge/JDdFzTz4Y0Xa5v6afFKP +Gucm4BSpvQLn89QRuwBfl6P3JudbKr0D3+2Thgal5UzKUTfWJV32kwefgivg +FrhdiZme1SLeakgL3dIwy29w72f+ref95zyndze9O0rR09qua7GLNWbMfEzs +mP2+MuuS+r/gjWJo/GI91B1zbzoPd6ca2nJwnhD7Se4z999oSciNwPkD51MS +Pd3bGr5zf8a5of6I2Cr1C7XwxF7YwxM0PuiKntNZaLYO61kBvwHfdEaPp+A2 +3PF61LwqhQf2Yh5PPjTCQ+u2R1vgJnoP8OM+Pr6Hn69HD3O982YjuJ7hWUNZ +aD/jk9TS8OaQnXeT8GgYfg/8dhIe+61L1dDuN/9ViT/kv2NOD7NflGMnv7M9 +s3c//J+Y1VsNj+2te3qmZ6cFqc59MovaXvh3BqS37LhUiDdM0bZGzWIhPLSX +9theO7bOvS+NXuaY+w9+6ml7 + "]], + PolygonBox[{{6030, 3621, 3411, 2818, 6032}, {6034, 2819, 4384, + 3467, 5859}}]}]}, + {RGBColor[0.16675207, 0.1782183925, 0.1898492575], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJw1ll2I1FUYxo87s18zszu7szPzH0kiCwoKXAut3VJwVegi2ihyEFpvLD+W +FrtISEsh7KZ1wWo1Lb/K6S7vyqvUGzWINC/cNSgwS8UgWuqiKLzInp/P68Xh +Pf/zP+f9eN73fc5ZuP61F7a0pZRuaeQ07ulP6fFySoVSSi3Nl2jerfl/Ayn9 +kk9pvuRkp6RGuw7syVKaV0xpsJFSv/YOV1I6oe9WzvuPSa5rT+mm1kb1PdEj +3dL7jNam9L1b44z27JDeq/NS+qjms5yryrGSbB8upDQre4t0ZkJjWv+a0vOQ +9HRI7xrNi5q3az4kHxb0+9xJ6ZrsSOkryYtt1ovOZfJ5VjqXSxYlSxq3c/b7 +lsY5zQ93+98V+fRS3nP2fJjZzj7JHwuOEb2HJdfmvP9St/3/SfPOhmPvkLyh +M99ofk3ye8VzWaOpfWN520D/7g7jdVzfox32n/nihs9cr0u34rtXo1cxdksu +U/xtmv/VldJmjar21Tr9zbypmNe02Tfiws8BfQ/JTl+7fV2l9ZUau7T/iOTR +bvuDPvT8rLM/KEdJvrwn/w8I063y7ZDkwqpzc5/kWe05rXN75edq6Rjvcozb +O5zzYZ2v1O1fX912sHcp7OIfvs3G2RWab5TcpCEX7uA3Hv6MR7zMiZM5mC+p +OralkstUj8t7nNe5vO3nc875kYjxrm3sro3cg9W/2jOk/X/kjAE+Y4u8UY/4 +dr9sDMrWA5J7te877X87/J/ptk8t1WRVfvSDNfrky6TkB5mxOTTg3JJPdNNv +RY0ZzbdKvl6y/19ovFiy/+tK7kNq9VDB/Uocb0nnP/p+U/KocrNNuB+RHNH/ +lSXbJw/UC1iAK/iSM/qZvqZXsDMStuoNx71zwP71lBz/VGAzov0vZ9b1d904 +Yxf9cwV/n9W+Wt36q5LfKpZ3O41vo+F45kvuyIz7TsnzeceCDfwl/uHoszNR +w/QOdQh3DIUd/Nmc2fa45D7Ze0e2puvWxT72nA//0UUO6WG4ZX9mXjkg+XHU +OfW+v8s5oQeIH16CT8glOcAf1g7GOnEQ51DUHf6DJ/83FI0z8suisSfPF4J/ +NmaOCV7EJhyL3W2KYYu+t9dds9Qx9UrN0QPU/2hwKjj9mlnnTcnHhO+D4osV +DfcOvdSM2OEa4ocnpoPHnm53X9/ImdOo9zucXDAfYhdsyMEdTAquf/oAXtkb +HPhK5vqCGw7WvBcuGdS6WiNdrZjzRiO39Bmx8G+i5JyCG/qIE51gAP+2As+L +4VtFep9XXF9Ldyvveic/cORTFdcRHAffgu+pmjn3dM3402/06Z6of843hfVz +OrOmbn/2xDo6xkLPSKzj55U++V52XuEAsMPnE5Fbcv1n0TWDb9TVWPA/uKIX +/LlL+8o+B574AAZwAb6ei7zMRG7gmpmwtSH6Gs48FvvAp0f6nqy4Fjk/Gfc4 +9wocNJ25NmaDu4hpIuICV3qGPHGHv9pjLsHfXXHPYH82/LkQfoInNnvLtgvn +U9PES57JKbkG01b05m/CsLPXub3d5/uenuS9MBV7puPeBSvqnX/0YHdwJ3wI +xkjWd4f+yXh3TMb+zxTLcNm8hr7jUYdwMH2HLnhiKvpqNO5k9r4f7x/eQfAr +3E4cnDka91pXr+Mhlt8lHy57H/fj5bhH4P6e4H9wJH/0IrwFttQYfUjMrD8i +HXN9rqNWxAMmE1GbzOmbubjvsAFnUQPkqxnvAWoEW3zDU3Ay5xjoGgkfVsXb +gNyfDxx4+6yP9wN+Ew98sqDquluf+U3BWfp/Onh4U2Zd/GsGB1KD9DBrG8Of +a/FeysRXz2qcUp4ebfi+xM71zLbpDWp+LHopRQ7hFPL4hLA62e98btP8jbL7 +lbuKO2uD9Cwt+717t3bQQ33SC6ujnj+p+R3zqeTnJdcNOeN9ka+4L/vibbM4 +81t1MN6r3J3cof114wEOYHKgbsz3143lUOAJBisDN7iuFfiMVvye6A9eXhT6 +/wd/QoIf + "]], PolygonBox[CompressedData[" +1:eJwtlElszVEUxk+r7z3te33/N/9fTVEaEhItMUZFdENCKoRadVOqhLSbJlrj +wgaRGEpNNW3ZiNpQVioR00Iai4aoKBI0tTIt8PtyLG7y3Xum7wz3VLd0bGwv +NbMtnDLOtbxZd9RsGZc+8HjWrCVi9o77H3AsadafMGuNm12sMMsVzKpiZkc5 +h5B/5jSjfwwf97HfG5r9QO8p9iMZsxXch7j3TDDbhG2aM1Jilsc+A/6AfBDZ +M/x/Ak/Pmc3D32pOA3hOYPYlRTz8jaPzJG32NeW4AV5J5AnibALf5m0MWU2l +2SVifuN+IvRES8AnwVNkj00f8gQ284vw5m02efYgn0nMWmLv5vwitwO8/UR3 +HI7f4bsI+dKI10i10ptkynkfuh34vo6/JL5fkeMlatIZdQ4XwQPIapLOJ47O +x9BzT+PvatZrpFqtx7YJPMo5Tj6zsFsA1ypOc8JrptqJo7iqZtVwy6L/otR7 +lAevLDoncakD3wI3ZjxeJ37W4GMY7u3Iu9DfXPDYKeRX8B0n7m7ir+Uegedy +bCsDr3Up9o+w3wBuJL9B8FT0lwZe2yH8vKYfae530InAeSF4SeC5l3POEu8h +70fQPVfwGdQsdlGzK+DLecdjvB2ET13os4MLqwWnAPVw+h33GO95a8LfY/Bo +6LPRhc6qhM+IOIrrR+Qx6lFb9F6oJ+vAvQXn8oS3QeJVZf0vqEaqlWZrMjlW +JHzGzsPvbYn3+AK4D/3GqM/QjJz/Af0F1SiT9RyUyxi2O/DXxjkccx/bQ/9T ++lvqcRE+u4hXnvZaqwef8Pe8zP9UPfqnQ++tcj4FnobuDXQrEz6D0aLnqj+q +vzoJ+aLAa/8Suxz+/tKj6P8ZLMv4jGg2VFPNpN4l78V/EHhP1cv+uO+GNynH +2hF7Av+j+puq+XDWeWvHXKU+iwPnoNiqYVj0XmknFMBnQp8z2ci2hTsia5to +thXcXfBZ1Yxr1ltDlz2AzzbwssBnULOnGvQUXKYanxHO+666SQ3v5n23zA18 +V2jH7Ay9N5pJzeY9dI5Gvafqrf6E/oZ2wMKcz4hmRTtif+g+5Vs2A3nfNROT +vju1c/4Bwpe3dQ== + "]], + PolygonBox[{{6035, 3623, 3413, 2821, 6037}, {6039, 2822, 4391, + 3468, 5860}}]}]}, + {RGBColor[0.21125345, 0.2303639875, 0.2497487625], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNl1uQVNUVhrczPdPTMz3T03O6+7SaWIJgXhQlGiyHmwFRK4KIirfoUJVU +WTAW8KRRbsYX9YHLAyAlAQbtIS/enryAITqERKssLy+TSSSpJEal8IGAVVCF +WDH/V/+aIg+n9j777L322v9a/7/XmfKLtXetaUsp3X1RSu1qD1RTGqykVCmn +dLOe0z0ptQp+RvUs1ORdXSm9pv5iPS93pnR7d0qntHhLzNmsZ3XZa5jPHL4/ +qKfS4XYlm2qv+3tTKmmPUjOl42q71E7V+Bz50C8bvbL9asHzN+l5RX2WMvZK +jN/bSOmOYkr3NDyOb/dpjyMFv0/2x2LNb2V/vuxnsv9OPaXn5N9BtZ/Jxmgp +pb+q7de+FT0v6f0f/SnVNP9N+fdIj9uibA5obN5ASm/o/TvZfVvrTrBXw/0x +tQ3Nmas5b2nOFo39oOi1g+Ck/vvqf9Dub4xjBxucda/6Q+r/S7H5u77/Tc9D +em+V7OdFBduuV2z/VzrHCvAp2K+sYt+W6f1P7bb1sPoL9PycPTV/SPF4veC9 +Xo/9jucpfah1X+bGoRV7Mfd42DsmX0b0rdFmjI8Etru7jGNb4H0k8N8vGy+W +nDPM43wrI55jEVP2Ae+6XkZKzpNV6vd1ez1rJ4ruM75T/hXkz3a17WWfdXac +j3NeJpuz2v1On7NhfxLPWtmY8pALnImYDxU8B1vY7NS6hfq+rez+X4o+C74w +d7jN8zd0eYx3sNkb+FytOJxWDn0jW1/L10/UnlD7aJdxfijwGYlzwZ993cYB +DBgHq8fKXku+fKvvH/U4j/AFn8CH3G2VLqw9FRie0v5XVcxnxnbEOGv3x1ng +8bUd/t7dl9LJfp/haKYYaex55fM/lVcaTuvyyJcO43qTxueLy+d7zP1twf87 +e+wba2gnog9fl+j5ofrTS34nJ29o93hLvmWZtWO8bt2YU/SZZjfcH1S7U+/X +dDrOZ4RnU+NfKBa/ya0re3LzCt59gk3ZuavodXAFzvxb8w8WvQfc+3VufJ9W +u057rNW39WqH9X5S44+qbcmn9Vr7ktqTBffJl5G6c/8z+T5P88Y1f35uTUJn +4EKzYX/yhv3Ni87Ps3rfqDNszM09cuPipm1hc4fGFtTMlctr5hl8g5tZ2HpS +7X8y5/9PNGeeYjJ/wPzYqW/Pas6q8AcdX1KwboL/XI3vqRuT/XVjOqPTsaCP +n58Lq0Lu8csz+0vejwUvsEkefp3Zdqf8/1ztL4VtKzDHZ87zh4ZxP9pwnhEf ++HK91lwtjf5p0zrHOTnjopL3gl/kEX1y6VxmDbmi5vxd3eH8hkPwAS4czZ2L +f8yt9cTicN2cZB6cG9X7Bo0fqJvXzwSXdzes1S80fC/iD3YPar9Ptdehmn3Z +GP48lTkHaw3rMnwlB59oOM63yYdbSo4FuNGyF3lYLVvT2IP4oxHY+lndmIM9 +e8IT4vJa3HFg/p7mbNacd9Uu7XQfjv6u7lgQE9bu6fR6OEBcienMDq/hHtiT +OU8P1S9gjVYQO3AhFmN13x9H1C5os3YSOzQ1C129teSW7w80zLv71U6UfC7G +yanhLvvA2HCcd5YwvZFzqr2yZv9+VDNO+ABWW9WebneNwT0KD9FneIAWYJt4 +Lu4wN09E/YGWolncieTGreEPOrxOGvlkxXpPDIgFufqxnnPd3u/53HNHMj/0 +v8qd3+gLZ5ldcS1FvsAtNA5de7ns+gOM6sFZuIuu4D/n2JdZC5dr/Knc+27K +7cPp8HtZ+ER/X3AW7m7KjM3eujEYDhzGS/YP3+DZaLvjdazb/ByNu3EoMAH7 +LDhLDqyKO+6/oS1ozGSMOT913IyqNZc9z0QcidGW8BMut6K+Yr9W+AAX4Dax +XZnbf85xifg/JJwuVbsrtAsNG9U+06vOtR83fZd/0XAM8Ye8mlYy5uB4h+b8 +XvOva9rnY5GT63Nz9mzoD7Ud2IyHDXy7RH7crfH3Nfc+nbFPdrp6fD8MRjxa +inVdGlvrcG7/uWQMptbMI/j0fWacp2Q+O33OP6Vm7ULDwHhH1Htgv/P/uAkv ++YZ2oCEXZ76XiB/2uGe4B1lzfc3nJo9Go3afrMnJLzgyUHaNAhbz5P8VVY+R +o2CHtlA3TQsMiQM16geh82gpmjIYOQsH58rO4ao1bHpo8TS1c3Lf88cHXFtc +G/pcrvp+4m6iHjwR/wXsOyv07fGy6x7qioHM+koNskbreqvm9tIBx6AW2j8z +7FOPdAx4LblzS+QYd9GNkdtoCTUfmgb/ZoeGjEbecq5m07mMrjO2NcaJ/dbI +bWo0/lXwH79W99o36qCFUQvRXx01JJrNfHR7PHKGnKPmKvU5H6l7mYPtYtOY +c49xd6H74E+esZY8oVZdHvapE8GtFljsjZoWjnNe+ks7L9T+jPUHDvhNTMCC +3EdnlkWc8X/y7IOBA/tPhP/wuz/+m6gr+8J/uDgtNPB8+EYuwXviMha6Br7o +T2+cf3HkL3Xr5ojJ5pizNnQEzlKHLov/F+qLFXFPEd8VcV8sj1iAz/b4d5jZ +dB3N/T4Y+U7+kXv4yj1J7qKh5CTcg2czoubkfj8fdzx1BP+s6Nsj8Y+Ib9wB +1bhPFsZ/NWdCs9CuXfEvMBG6QQ0Fx5aERpAfaBG5C17o8YbcmFGb786tSS/k +rkMWBZ7EZTxyA7wfj3z4H3CdBvQ= + "]], PolygonBox[CompressedData[" +1:eJwtlUtsVXUQxkfu7W17e9vT+zj3HPERChRjIiqKGmmhJLpRRBSDiA8Wmhgf +KbhSoaCw0kW7k5daQAorFsbEFyhIUcSEKCxgYRo1PkGNlboxolF/n5+Lyf3m +eWbmPzO35+G1y9dMi4hBqAgNZBFnyhFbChErmxE74Ns6Iu5oiZioR+xLIzaU +Ivowfg3cwOa7iyLy1ogUfBv2E/ivhV8PX08iOmsRKyoRbxHnhkbEQ/g+QPz5 +4DfQL0PfIP7T2BzH/x7s7sbmY3CKfjH6P5G9AzWJeZKELyV+Dh7sjKhUIwoV +5ziO7F10f+HfSfx+/HvQf46sG5uXiDkNXZFYW8CbqWkE3Wp00/OI2dguwqcG +P4H8PuIt57dO7D3YzsvtO6crYil4B/ph9J8iO4b+e/gRcppLnPnot8KPU+sL +2GwDl5At5ft3Yd+au0bVeha+HX4WOY/Dr8RnZsNvoLdQDqvA65ru9eW81bPg +FU338k5k94Jvwudmcn0EOk8+WdO9Uo2qdQF8PzhBPwp/BP7Hgnt2FDxJr1/l +fU+hP0Cs07zx/QX79KH/hd6UqX2UN94FteXOfTX2PxPvWObausmvBr8wc26X +wfeDryDmPGwHoQvoL8nd+0/4xjn0P0APgk8Q4yz4UNW9Vs+r2G0nh+MF9/xl +5Y7NyQ7PzxjxriK/X/n4MD2cQr4b2bKSvzmHb3+Jrpl4llqJczB1r1/E5j3w +B9BwyT7yHWp6ljVzmr3D6F8v2uYIeA80BJ5Etgn7Ufhv2YdnkO1MLZNukl49 +Qa6PZ54F2TwG7kH/TdE7o93RTmm3FHMMvIBcFyauPYF66cd+futQA1pFTWPk +djX2t2P/ZOZvqUfqVcp7Bj7t//foI2QHWv3mevsT6M53u1e3VvwGegv19Cfw +m8i+Qv82/KOKkbiH6p1kA8SvJd5t7eDBhmdHOSm3gcQ7pV1Szi0177x2XTs9 +o+7cr4GWpCZh3aBFmW/HeuxvqfiGaGY1u6rhQ/I/lPrttFPvgzfis7HNO7cB +fA7/z4q+KdPxfYpYe6vu3Re6UZlnVT5D4KPEGCn5jfXW1zOfh7G/khncjn5x +7hjyvQ58Bpv9Je+IduXi3LP7303MfRN0Gy5Qzyb8n4P+KDsn5fY7NUwVLHse +3e7Us6MbtQv8NTZLyv5GnVi93JaZVd+ynWXvnHZPOY+nvlG6VboBN9L/LmzX +dPo26o7rhgvrhu9VvnXfEt3kv8FT3f6GYv/W4dvZl3j2dENnEFP/F7pRPeDN +mWtTDaplNrJrW5yzctdOau40f69guy1z77TjWzPfKN0q7cA/4PYuz5xmTTdG +uzw3cS7a6XWJZ1azqpnQDdEt0Td7+fasqm+UbpNu+L/RteeD + "]], + PolygonBox[{{6040, 3625, 3415, 2824, 6042}, {6044, 2825, 4398, + 3469, 5861}}]}]}, + {RGBColor[0.2515966825, 0.2762395025, 0.2985102425], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmH2MlFcVxi/s7OzO7tLpzjvzvtNdFWsUCosfBa26gpYCpmDVtQEVP1J2 +bWJigTb+Y9NWaK3+Q40s/9SFli1Qd5dFYywmKkTlG6w2ZmNabdG0pdi6YrWm +VEwUo8+P5zT4x5t7536ce+45z3nOuXP10O03b5yZUtoyI6UWtRu7UvqVOu36 +nq6kNKb2Jc1NdKe0QF+P5t/dTOnFNn15Sq9q/kF96yVkeS2lpbNSutiZ0h1q +r9T6j7am9J1qSrnmCvU36lvU6j1rtaZbazq1/gellI7p089L7XF9n9ea79VT +OqX184qUHotx1k5It3F9z0qPfWpfUNtSsn5X6fujfi+XTmfVNtVer/2/7ZB+ +atfre0X9DWrHtHdd6P8HjZ2VjHH9/m+mcfX/nvmOC0Nnzl6g9jatr0rZ63WH +ks7r1R2X6o4HdZfN7Slt0ndC6wqN36Dxn2j8tM7a0G69mL+x4jXIWFazHMaY +2zDT/ZWxBhuMqL8j9nLGbNlqtfSZ0vdLrfmmxtaUU/oyNm9InsZ/n1mvnqp1 ++5HsMSQ5fVr/Y/W/UPHY/bLFv3X/rxWWR/+81txb+PwTkjOk8bsk/08zbBfs +89665SEH/GC/W1uNG+zIb/qp7v487dvS5rtxR/y3Ke6yqnLZb58Stj6h/od0 +/vy6MdNXt64jWr+2xe326P9C63+mucfVTpY9h63AaU/goVdzs/mtdkq2GFZ/ +sXTao7vu6jBO5kiHZRrbO9P+wG9LSrYFa1doPNf+Xu29W+2jDdtkt9rdkpFr +zxnN9Wv9QJvlcA/6C3THimLnZsk8qXs9JB2fY65k/cAteK1JTneHsQlefq31 +Q5LX0HzRZaxvLfm8YqbtCH5flF8ekC77S5YJXsACduAen+xyXGMz7IOdkNXW +aaxMxT3B0p1a+5Uux/Je3W2T1k40HDevlMwRtIxjn1tjH/r8UL9vafXYXmKk +at25M3c/pfZ98mW/1rxf7eIW2/ztyTZGNna+RXu2Sb8n9Puv2vMb7X25sF70 +GV+h/of1jWlfpcX+ndLerisUt1far9x7Rdx9uXSZL52a+v2a5t+h3+cl6y+Z +bdYu/7xTY//Q3GudlgWOwcasujF+RH6frhmzmwr7Bz9Nz/A9wNCgFv68YX8c +VfulwnFzb2Yb4Hf2j5ZsL2wFTzSr9tX9ss3zWjOhc2/S/ndJTmthn4Mv7Pwx +jS/UeLmwffElc3Aj8j8euswNfV6PN7ByQHfp0/l/05kDkrG1bD3ADjzL3hMN +jx9vGMPIAcdwzE/VnoOfde5kt7HLmc/GvZZW7Xv0eqQwx4+qnaexG6qOk2Vq +D3Ub08TL8xEjZ2T7qzR3oNO67I9csDDyBzwMx/QHzxzSXZ5U/7DalYVxdLXs +fES/n9L40brlwN3w9uHwC/5BNn3kE3OPxZoFwfXko3l1n32N2iMN4wS83NHm +nDEesY6tifeHCsfro5lzC3GMTOJ9f9gWm62o2m7Hw+bo8ECbOR+OBFNwInzY +FzmAWIbnaq22P3mR8e9Kt70V4whsYCOwBSeQJ9EBv39GueY9Orur05yDfHQl +h05WjJ/r6sbLHum/ozA/jKjdJnnDkWvgFWyEPsQfMUQM8o0HT2KXsYgdeLsv +1g/HGjgM3yMf7P4zd167r/Dd10dMkTefqfj3eJzB3pHc9rqtcA4Be2B8OmKy +V7E82m5cEU89bZZBPbMj9iIDO5yNvHOxwxx0Kfdljtk98vlgybKx5+7g/DG1 +Xy+85xuFzyBeiStsiT/wBTadjD7cjj/AwEs6+1vyx0rpmWvvt6PWGohYHP0/ +noW7uN94+JFYnBPxSF2zqOz9qxrWY23dayfirBnd9j1+P5U7fk/mrvfGwl/r +Azfc8VjuvLozM1eSI7HRvzLXZ3Prwe8Vr38ueAcd31b3GtbOqRvXuzLrDI+A +LXLTy5GfhrusB3fMMsfcmZrvwF0O1l2L4h+wREy9GjXbufD1dODzfOQO8j5+ +BdvDZecjbErNytzDheuZR9qd+/DvlsAPeAE3cBH4xTf4ZXPZ9Sz57tqyObk/ +ctBw6A+mkANuNsY49iWWuPenc/MCev25cI6B08HzQNQNnPuRhts3a+3ntGeN +5j6buw6jHtueWxdqFPQhh4Jv9JxfNicQb9RlQ1HjwdtwBnFL7qfF1tQy7IU3 +qQ32le17ctm6yMvMcwZ97kO8o/M9uXnwq7mx/4EW4x88kpvYg42Jb+wMT4+W +vW408h744RzOw0bwH3bknvdl5oBC8q9TnPQpr+8s/La4fZZtQB1AnVCJ+1LX +kqc/WFy2ZT1zffyf3LUP9oCLJhv26z7WdDhOeUcMBSboH80t83BunJO/B4IH +4bIiOG1r9Hsy50BqBOqPL75eRwR/gk9qk84rPM/YthjfmbsufTh3bKwJP70Q +7xy4hN/n4g2CbO6N/F2F43u32nuUW+6uGpt35fYbuRH+g0vBCbGNn/ujnr3Q +bj/f1OF8R4yNBP8vaprnqJvhRzAChsAP8k5HfMLbp4Orn2x43VMNY2Q89ER3 +8hf6H4w6jjtg+31hf2Q+HXoeDvsfzz32TJw1Fm9UOGFZxAD5l3glXuBD/EXe +hQM3F84v5BnOXxc2/H7Zd10XOoADeA17YBfwx1gW47xxyzXXxtxve9TSb5E9 +12js8cJ+nQq+WhtvGd405HnqDPQhJ9NHBzgDvMEbvZl1+l3UJ+gP3jgfPbAP +evCb2CGmiCfij3qnP+yA7FqcNRw1MLHLW4rYg+ub4XveNKvivTEUfA1vH5IO +PU3bgFjErxciL2PDJW22G3kKvgPDcPC2iI8ludcszl2v5VGzzS7M/29SO1Dz +fwT8PwBXDEXcDUYcYhPesfDH9sL8cGPUSMT97Ih98uSSyJUXon7oidy+J953 +YGJx5FnWUmu3x9uOuOMe2J4YABO8M3hvoBs5H33Q42KMPxHvaPiEWMIng1F3 +kcOIj7fWL3MunEMsc0/uiD6LgifBDm8w3vTE9YGIbXLX6uBKcnot3oa8B8hB +czPrcmfoebLhnHeq4bcBPHxN5jPogw1kTndaLpi5NnIZ8XgxYrKz6TUdTefE +/sAY+KFGAUPUrseitl4dPkfPwcArd2Qfel7KD7ljBm54Q9NvvDeq/R+vp2it + + "]], PolygonBox[CompressedData[" +1:eJwllVtsVFUUhned3mdgmM7pOdMZtWIUSos3arygVSqXRAJYiTXiJa3ExMQL +oE8GKlWqT5qATwpoI4gUkfigMQrRlLa0hUhMYwRfeBCJEbDamNbEhBr9/vwP +O/nXfe2111p7/sbN6zddFULo4ZRzuqMQDsFYUhnCuvoQ2gshvJQN4deqEG4H +n4F3GFkO3Xw+hE/RH68IoRneKmRTdSFM4KgzHcL1yJtQbMe+PhPCeXyMwZtA +NlsbwhtJCEVkK7CZhXeMcx3yxfjuryYf5CfwuRPfHZwDyB4k3ns1jnkkcm4D +xChmnOND6Leiexb/y7DfzmnEXy/+esHT80K4BZsZYu0kzxZsV0AXsL+AfT86 +aWRr8X+OeJPQP0An0APQr8YhbEFvgho1gE9xvoW+nAphFDxC/C/KnfMouJqa +dUCvx0cNeAf+rtS6RqrVODq7Km0j2z/JJTM3hA/R2c/5Hf3TKefwB7iAfC52 +j5Lv1/AGsNmO/RT2O8jvTmrSDX4amzvA/5DTdMox+7AfRP8p6LewOQ5OE+tL +fD2bdsz5+Lgp2Md/4PbEtXwXm8dj10S16cX+E+wfyPqN9bYxfg7XW9aG/UHw +EDaYhq+QD4NfxN8U/r6DuRd6En9dFa7BGPp90O+g24Wvq6nXJfQ3ovs9+V1O +3BPqjT5sVqO/mNhH0G3IuAfeT9wHstmbOGfl3gnvSfAV/G/CdglnEfVpzrnm +qrV64C/kzyC7oGFA/ljsWj6M/YbYtTpPDx1Nu2YN2P4MXZMyb7dyxLYKvAe8 +nLdKsn6rcmxXZt1z6jXlvBufo3oP6D3gBXPIK+da7iOnpfA2pDxz94DPcudu +6Db026BbC47VxDuuA4/B+wZZJ/q/EHuG0w/+kTsNRu5R9ap0xsH3J76bZu4+ +8DUF1149p967N3asOuz3UZsE+mJZCCV4BfDn3KejzvPxiuoPb1eVZ1yzfpq7 +zFCfaehVyJehv5yTZLwTbs56JjWL0vl7nmugu2tGt8WOpZ7cCi5yGqvcI+oV +zaBmUbwS+Cfq81mla6RanUq8ix7B/0nwLDovk+skO6QR+trEWDtFu+VY5N5q +Id7RyDOvu2U0H4lroFpo5k/G7nH1umbwEPgg8hj5Us5d2H8Mb2ule+JAvXul +lPWuU8/kqM+WOZ4p7Z3BnN9Sb6oadSkH7ncrPtZgfzzyW4on2cK8Zbdx1iL/ +l5zervYdddfxxLtHO7CI7n50fitzTh+BT8SeTfXYSOyZ1GzqDT8AN+X9F2in +arcqhmKdwf8Q8YcjY/0Z+jsWckbKvWMWgFcT/1ytd2YP/p5P3OvK4bnEO0u7 +SzvhBeg3E/8N2lnaXduy7iH1zkpOqeBdoB4sgjdTu2zOs6UaPhF71vUGeoum +yLO+Bp+X6NNabC6mvXO0e9QT6g3x0sjujvx22gHaBcP13pXa4UPgGyL/fbrj +jeAWTmuFd4p2S2WdZ0KzoD9NMRVbPVnKeyY1m3qjSL0CXZZzf6nP9Mfpr5PP +Zny/nvjv0o54LfHu78m6FvoDFuW9q1Rj1fp/CtsMpQ== + "]], + PolygonBox[{{6049, 2828, 4405, 3470, 5862}, {6045, 3627, 3417, + 2827, 6047}}]}]}, + {RGBColor[0.2900108775, 0.3192062175, 0.3421045975], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmGuMVVcVx0+5986de2eG6cw9957hTesHgQqF8Cql8mgrUB7V0qYY2wiR +h41RpjR+0ZQq1CdNaHgYJZQOLQwzFgZqLG20NYLKAKXSgqm10n5RUxyGx5ig +rVHU/y//RfxwZu97zt5rrb3Wf/3X2nPTF9qXrh2UJMnPbkiSnMZZ+jOlLkn2 +6+WKNEmeKiTJrzQu17NJ8yMaDwzyutu1fkQxSeZqfofmXfkk+XtDkmzVOEMy +bqvzt6l1lsmeVfr2qPb3Sd90vZumZ07O+mZrnCE59xf9bqbmQ2pJMlK/12v8 +WCVJfqL171aT5D9lyUOf1m1pTJJ2PWXN57XKpuYkeVV2fLM+ST4oWt/wtiS5 +KJ1PSsantGaU1vxCa/58o+Rr/prmb+YsZ77Wv19Kkvf0rJWM7rzPxrkuSd5F +PfO05qDs2Ch7DmlcIJl3NSXJNcn5mmR8Xc9Q+etePQXNZ+et7y3paNDTkcle +/d6lcUpLkjwmGy5Lbr9+n9H7EbJ3kN4/LJnN+r1T539a37+i733hH+Jwd94+ +7tF8otYvkJzh0ndA80Waj9K8ovm6Jtvy16LjgL+x51rY9EOd4w19n4BczSdr +HC3/36L5Cb0fr9/DJGuEnn7J2Fu2ngtF2z260b7hQSc+OiW/bEOuxlXy5aZ6 +y39Q7/pz1vGPBsvCt7/Xuh59e0fjBOFsqvTeqvGYzv6q5J3U+G89T0nONY0v +5S0DAPdI/oGS471MMs/q2zI9Kwoev5RzPIkrsWuv95z48vDtgvAxVuMDkvFF +rd+t9+c1v1/7l0vfZzX/vMYGxeYB6TihWNRke1XPfu3bLNtfznv9ucAPuliD +bUvzHntijk0HS86Frpz3DNX6QyW/H6L54pLjflLf1+Ssh/Pulh3b9b6j5jxg +Dn6xtyf8MKRgm3fk/Bvd7YM87o85+UBeDJWcq1r3o5zf76vYBw/p/eai87Zf +6+YrtgsanQ/LGv2bvOsU1rJWY/4j7dkg3307cx4uizU/kJybi8b/ltiLHGxZ +E3rfjvxBzvVcAp8DeecQcgYPFm6Ut3vk18/VHK+50vWR3k1sNgdlZduMbztl +y2rNC3m/Wx1nYR9cA88sKtnX+Pk5nX05nCbZj9fMbQsl/zw5qDxa2Gb8VguO +xSdrxi34JR9X5r2HuOE7dIGFc4Gxc4ELYv3zonOiQ/NhwXVwHrZgE/vhgDta +zANLSsbuI9pzRfPLkVfbpXObntM55wpyOUOTbO3TvkaNjzWZC+CBXq09lncO +fRg5AJfj00e0/ozseUK+XN/sOOF7Yon/x6be+y/5abiep7X3v7J5ZsGY6woc +kiPkws1aM0H+uNLqGIMx4vJiyViHQ/5QMP/DS8ObzePoe0H2Tm4xv5Bbh/PO +ndURS2L6Ttn1BpyPbja/w20P6byp9g7WvDtnu/A5teN3Dc4b+Bt/cL6R0tFZ +Nnfd12pMg8O9mWXs0dgqeXc2mdMHMuP1Smacvh1ciu+6Q1eSGg9/qzju2AAG +qBXFVmMcjiJG8NR3JeuabPiOxnHC+ZEW14lvZcZmr+R8OTOmNlbMc6ynDj6h +GKyT7d+o2cb5rbYTvkZGndau1d4BrW/XuDszjrok53uZ/fJ9jXdm9uldGr8a +NWHnINfR9qjd4yrm2VOZa+aWyOWTOu8fted1jcf1vKv5idQY2hI8sE95sl5+ +f0FjtWIdi1LzKZg5qXFp1b1BPe+q7iVKmk8XjsfLL89rfiw1bno13qNYHW1x +faJudOSNs5dS17VxWn97aozO1Li46n6GvubxgusIOdiZOc/2abxUct3j7PdW +3QvRE8E9TYOdK5wd3uVcn6m6zylmlg2W6WeoKWNK5hpkULfpnXYpb56pd739 +ddX143jV+dcQOFoWOU2toJaClVfyrrnUWuLXEbWEuOD7OdEP7Jc/5jW7blNP +WENNIUd3BA7R9VroI1azoq+Y3+z97L0UPQm9CZy3JmouvdjVqEsLtX5Si3Po +t8LfUdl2OvDYHWeBt5CDzfjuTHAga5HbH/gG589o78PB7XD8BzWf+TnZ0BP9 +DX0G55gbZyHP4F/q1kjhZIW+j9I4Sbb980b3GvANvFMILoFTVuaMbWok+Ia7 +mMNZB1P3Pz2pscAcPMC13dETMod/6RuJFb/xM3F5JWLTHetYQ65uj7iuLrk3 +gq+3hTz2kgfnwwZiQt8GZuh94HuldnIsMAN2wC9cTs9Gf3WkaH+Su6zfGb0i +OMQ/b9S85lTNeOmLOkjvgF44dlP0i+C4N/y1Mvqil4OHqVcfRu04mtrGJbLn +l6mxf1WG/gW+jrowRWN7wbk5KvN56OngR+I3I7U/8AtnxC/8vn6OVfEe7FML +wdI0YWlq2fkK1tCHLuoTdeqW1DVxdfgZjoAP4cVhwY8Xog7DFfBAe/AZ8aLf +oafoCk7piL6CfS9G/SKPkc1e8hw/k4NdgRPkkPv4mfyidnP2dfBjzbWavuO+ +OmMGHXAW9vw0te2cgbPTbxILcvBw1HDmbWX3PeQ6dYwcI7/IwffL9s1tqeNP +f0d+0JNRs+BMdKP3ePTb9N29VdfwixXHcGbEkfsNNY/6BX9zf8B/r2v9Vs1P +apyTGVOfrrp/oicaWzFW+4NDwBEYBlfgBvx8vGLc7an3b3hpatwf4VY4dkLF +OJoaWPpTq33TG33slHjPmbaGT6nrneETbMK2MRXnHHcQ8o5coO4Qo70V2/Wb +qmstNber6vwgB8A/tePBuC/Bg1ejjyXnTwffno17Kr+XlG3b1ehpN9S596Cf +oSaiY3zqNZ9I3UMujj7wycx9Nf319pAJrn5cdW1/Tzb2VC3zQNVruQPDp7vi +/sg9Es6cEXfzyXHfA7fjUp+Xc1NXO+rck9EnvRm66B0G4jexww/gg1pGDwyO +h1XMQ32t1kHtJhf4ji6+Uaemx92fus6aiRXXe/x/a8U6BqLnTyuOL3GmjiyJ +Hpr+hj5xdvhjVuTaDn0fKDk+s7kjce+tuc4wJ1b4C789m5nb4Q/9TEbWfE8Z +obE7ehV6Fnpt1sCl5Dd8yrk4493R87OG3Cavye8r0Z/flNme0Zn7YHh9Y+Q3 +tuJ/at3Y6BOo+2ejRqBrbPA2dRrbqJ3ca+CguvgfABxMHYQPL4cNb8W9qyH4 +83LYD2fD3dz9GNmL/fTF3CXxI7GC1zrinsKc+HJ/rMWdF9xiR1304/DP9doK +Ty2NsRZzuIP+AzvZz7e1kXecuyd47FDUaHpTOP5iZp49FPdi7iucAfvRuzn+ +z3NP6nOPzIy3XfX/P8eusJ9agY9Yhz+mRe3g4RsYOBBykIfOtuDVeVV/358a +F5yfs4N1cD0m9Tr8QI2gRyLnyXfetYV/qAN7681BxBAfFoKHOCdnhLOpZfA2 +/Eueldt8Vu6GnJd+qj38QK3rjRp9Q+q9kyrW0xe9547ICWLKvQ3u4vfh2Est +aY/7IDLJs0vx/y74GF6mL0A/3PJo/K+MPfOih+I9+IZz6VfhQt5tiPfUTM5c +CH3Hom8Bg+gFG9z3RsX/lNi7KO7m6IDH4fD/AbhkxBc= + "]], PolygonBox[CompressedData[" +1:eJwtlmtolmUYx291e5c7PW7v877PcnNT+6CbNbdy5pxpB2jqStq0FnRQMs0P +pSh9CjU07TRIsCLEPMQc2eaMMOqDRS6abh4qi1ADv2QE6cwRrBKa9fvz98MN +131f1/W/Ds91eKY8s65t7dgQQgcnh3M1HcKK3BDeToVwKhNCbhJC5y0hvMnb +Q9zf4H4jP4SRcSFcz4awviiE0hLkCkNYgsz7vA3C25EXwh7oevB+BfgiOi3o +/st9HXKzOHfEIfzJfVWuZcbExhT2KPKvIX+ct/Pwe3DyWeg2zq7xIZzm7VPo +UeQ78K8U32OwGnlbCdZzYMyBXlSGLfz7A39+Q3ZTFMIZ7gvxt5lTD32Nty7s +VXLfis1asLaA+Qr0y4oR3bPYr4DOw9AR5F9CdrQAXGS+x9ZP0MPQ1ZwGsNbj +3yHsnyNnveRyMpjl+Ded0wR9APwUstcS605UjGm/idfBfQm6e7jnwz+Gn7OJ +5T7uy/KMcS/0Xnz6Dvvv8LYf+ht0VnJ/C5v90Cfx4WewevF/NfSjvDXCO4eP +96M/E9xm4iknnstgnMhYdyk5PA59POvcHhUPehs+DsMbRn8t+sMwH4b+BJ3b +4PXEriPlQLmYhM5UdN/lbIefX2bsZcRUUOacKreSqYT+j7OD+Dfi8w3o7Ym/ +hWpqm/DwNcJmO/4eLTCmsFdwrwTvhcS1d2VMCM8nrjnVnr7hZvAeSBz7LvCe +4v5B4tpYw30/9HliXg09n7cF8J/mPA59K/50Y2tf1rn+Edsn0sYQlmSWq/bR +30kuWjkHVeuJc6VvpG81P2vsDHhd8PvIf02xv/EkYqgivoWlrq0vORcyzq18 +km8t5PdFdHeTs8XQT2Rd66qJJ6FfTdw7P5DjEXC60dmEfor7Rxn7JN8awKhF +vxP54gL37kV4v0ygViPbLgA3xr8NReZLTrnfHLl39A0Ogbkl5ZpQbZwErx36 +d2SL+B4D2LigXsDfVdDVyMwL7tEQOwbFMoDMYeje2PQMMJvBnsG9P8c1XQN9 +ihiPEetj8C/jSxG5+ww/1mCvk7hvjz1bVJPDN3u1tdT9pZ49Ent2vIf+Jd4H +sPF5jr/ZyYy/qb6tZtzrxDKUuDbO8nYV+m/yUw/mX9x35jgmxTYb/Tb0l3Lu +TrnnBuHNTJunN/HquM9JuQfVi62chpRzdAL5WvizUn4TTz2r3pXOMvUz8V8Z +5xycznomajZK55GMZ1lxsXOhmXYn329x5Nk2hM702LNIOa2GbiYHFZF7STO8 +qsy9pJmm2VYZuSZUC18gkyA/Fszo5sxS7i9NME/fQDWn2muHriGWu5DtFS5n +MmciPg/Rm5X4Ug49M3YtaidoN/QQw4Ic11Qv9OmMd5G+kb7VZPXTeO8A7YLr +2NuX8o7oj10Tqg3NkIq0Z4hmiXSmoPt17Nk6lxz0qZ4S+6qaVe0OJp5N2gFT +0f8Ym1tT9km+fZjxbFFPHYRuAqMp1ztMu6wuco2oNkbAmZa2Le1Q7dLKxLtB +O6sqcc+pt2TjcMY1qdpUj2fSnjmaPbIxV/GCPY1+PJDvGpxU5tpUTiugN2C/ +u8S51lwrLHMvaqdrt2/KOvfqwY3QLZFrRLWhbzSPt+XjvLPuyXpGaVb1wT/D +fW/iWaJ5tQ96YeQdot1RUejd+s8Ex64dK1/rSsyTz8di/0s0Yv8r6G+zxlZN +q7a1A1VXqq8u8B8Ef1Hk2agdNZj1LpKPA9D/A/WGMb8= + "]], + PolygonBox[{{6050, 3629, 3419, 2830, 6052}, {6054, 2831, 4412, + 3471, 5863}}]}]}, + {RGBColor[0.3284250725, 0.36217293250000004`, 0.3856989525], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmGuMVtUVho8zfPPNlXHmO5fRDpYR6A+xgkiBchFQRgUUkApYW20wOkhi +cZCmf2yUWulVG51GUNpYxIoMKMjNgDZq2lq5KAKSBtMWTBrTxqDcFLCx2veZ +dxl/nOx99tl77bXXete71j4dt941e1FVkiTvnJMk1Wp7apNkXk2SLCslyfHW +JBmmsYvTJBndkiQzmpPkwsYk6dbT2y9Jpmrhs5r/cTlJavW+UXOu15wh+j5a +61dpbKWELtacgw1Jskj9as25pSlJWvV+QZv20L7LKkkyqEiSj+okX+159Uly +vp45Wr9Az1fUL6udrOdlrWuUnD9oXpP6q9We0LrhGlslfe7VviOj317vtVv1 +fbnONF/fXpKMs9L3TNn63KnntJ67Nf9nkvUT6fpJbt27Nf6B9JshGaNKntej +s02N80/UvOcl91CWJNM0dqbB42c0b1LYZ5j6v1Or5X22QC4yZ9dYF96Xqn9H +P9vwddniTc37vWSfiDNz3m7pdUTn+FBrV9bZVvjoxtCHOTWNtg9rLtL3TrWb +q/x9Wuj8XOb91meee2OsxSZfa7RdHtczRE+Txh/T3DdLtu+rmv+ZnoNxJsak +bp9eh0O3k3X2x6r4Tp85HZI9qNFYuUl6HKi2fdkPvJxW+1Ct17O2t9oy26ts +8+7QEyy9W/elPehfozm/1vupOstg3ZEYv6radpieWPd7Gq1/k7A3V++75fMx +9d73npLbU9EHg2Bxk97XSO5x6ThXst6utj749xHZ58V+Hr9Y/V0l+3yhZL/S +YBseL4z/D9XeILv3aE6XYuphtRsl42rpNlvjj+j9do3/MOyNjWdlnndbaluO +rrc9l2u/R4kNzTkluYck/6Ta/56bJM39pW+98TGGWKnyuTgnMrD98liLPQ6F +T7Hp2VrH5Gup9fqk1T7CP9hzl8anavxbmTH+WNn2eCp3f7XagbLtfMntUHtv +bttPl25btGaZbLQ1c4zuL1k34mVFYGJo4fGXtM8LqbG3Te3zqW27MbWujwc+ +9+v9iMYPqH1Lz2H196ldoHN26Xm5bFsiB1xhP+yAf9f1sx3wI+2K6Ceyx98a +fD64Aw4hZjfXGQtwxbGy3+mP0TmHyebPSPetNeaL08EtzF+sOd+THeZpzc1q +20r+xvgrZet4e7Xjc13osBMu0LNdT1c/Y/j74bd14Xv2+mKfFcE7rEXeyPB7 +Lr5dIr6dqT0/0vi2Ovuddmv0h9aZL+aWjc1NVfYxeHxe/WsScylr4OFxyGw2 +ZzD2QowTz8jEVsQO9oHDabdEnxiifyzWttd/aeP24Hk4Apno+0y9cw59zgDH +TQ6Z50dsHpCO66rNFVOF18HN5qrO4EHs9vXU9vxUwTNYMtbWG9MHNfZ5vW33 +nmJnULPjFruPCR9dp7ENLeYw1hFb7AV3vxTnnqZ9L2w2p/6qsMxfFtarN3Qj +BoiFSysef6+fv90s/xSS36K19yv+ZtQ5B/SU3V9SZXtsC5s8oPXHZONnM/Ph +rOA65s6MtRsanY/h1t+UPY68u/Ucrvf+J9WfUm0fz5LuY1psmyuk5zTpOUfy +q1Lr+c2Ksb4yciL2uLbZNtkeWKVWoAW7CzVvR/T5js3gRHx1rWzV2WQ+Pre/ +OYvvW1PH5Wy1n2psRLNzKn44Gr7YEfLoEwPgAwyPkH7f1tw3pfsbueNqd+5Y +nhSx8W7kBXjuMsn+n/Y42+B46o2YIgbADHkTXjsR+RcdtscZd2fm/Z2Z/QWW +8RE5gTXMp25hDFuh84thE/B6Z9Qbh8NvYIM8syPOtaiwf/EzGCaHoc/PC/uW +GgG77giZxNPmiCn4YGXIJ2exL3H3YGFbPESu0F6Tpf9vNe9Hjc4B+KK95DHy +ODVDT+RcvjNvQMln7IlaoivyLVzzWtm8djTybVfk3HHaZ6yeK6od4wui/qHG +PBp27Sg77wwsu56kFoIHVtY4FyCf2u2miLW+GqvB/tpYYxn4BXwjH9shC7uh +A2vfb/B68A/2weEErR1f4xiA82jhPXAELzD/UNQMnH2i5l6up7Pa9ptU4z3I +4VdWO18SS5wVzmxu87791f47N1+uKey386K+BQ/08TvYQzaxtzBqB/R8NfJz +U+DqjjgjOYqcC77BUm/4bkXkNfLpD5qcA+BOcD00+BDuWxs8xjkPxnzsTX1J +7pgd8ThQOq/KzSNPqO0tzFVrC9cG8A+19MeK6wnS/aeFOQbewNbnpMbDyYrr +a2IGHJ8o21bYj9w4NHLQ04Xlra/Y3+hFjB+MOOadHAf+wAYt+b5De58KG26K +3LogagByCvcFauwT9Y5rYhX8dsXaiyrWn3P01XoNrusy2W9Kk3MPdQ21B/54 +TuNjW1w3Twp55F84BV4Cn6+nxsL14opbZbvvaO383O+MX6I9R6S+L11GvaPn +n+rvTc2JB4IfiMurwr+DKsY797OluTH949zrrgg+R9/prdaZWg1cD6u4VuoM +Prk6873kudS1KTXqV9ucF9bVeg0+7CoZW/gPP45LzSvwy9zI18QtMcs9qbtk +DqJ+XVLyHsQWsYZu2Ja14P/mqIuuLOy79bXG/wcVy25sM056a20v8i3xDC64 +p4GnXxTO6305SLo1FN5rlMZW1/qOdntwDXwBtrEBsbwp7gjwBbZFX/Smxh5c +8X34nMJ3gpPBd2DngRrXIVOCTzsLcxhcRv3cXRhniwvbinwBV2/OvHZT5rns +C0dRt04ILtqQWo9pqf0JfxIjzPmCq8jN2Gm4dKwvPOcb6v+jZC5iPngYF9wL +N08sO/cQZ9gcHujIfdcbqHZy7jmTcnMN4+BvX+b78361QyuuO/+emYe4S8JF +xCoxe6xwfOMXYomcS41CnsM+3cHz1OCj4z6yMu6y+OWJ4Jm7JGeNcnRbq7n3 +ktT2W1tx7VDb6pxF7dgd/LA78v5etZemxuJwte0Vx/f7WtNR+K74meY8XTEu +Ls+dq++OfD0rdOY83FfgTnxNfCyO+9HRsCm8nVWMl3+1+l8AeHtH7Uzp/+cW +33s5M2cHY+NLzrW9cZ/tDpkXqxb6U4t56oLc+GjPXbvNiPptZ9Qeb2Q+B3js +4706v8PXS7Xvfc1x7w8sTU9956S+3526Vrg/fPQf7fEwfNFmnxLL8CR7Mgfb +cE+GD/cU5oPxof+6inF0S+5/CuBhYxY1b8nnHZt6DnPb41z3wVcV7/MUdXLh +f0LrC8fok7XGA1wyOvhkdqsxMSD+xYyK8ZHB49zvbot79V/VdjS7Lqcm517N +fWan2iHNvieQV/EVHMGe5An2BRO0q6O/IbOe6Mu/qytbrCs4ORP3YvIM2MMX ++BsfwouNhXlmtNZ+N3PN0EQdl1s2GMQncB9xTRzMi5pmv+b8ReP7cv/Xoh7i +rGAXX3+e+z/So/EvqQ/f2n9P7jqhJ+pSzvFknJG8xB2CeMGurF8V9emOqBXn +ZuYTeGVPak55Q+2NmXkVfh1QsU43pOZS8jY55Y+pawju8eCWWCbX809kV3Ar +3MP8afFfCDuhE7FNjO/KHEvE1BbJuymzDbEle52KtcjmjPAPviVvkV/4f8J/ +K+79YIH8AR9yjlU15kfyzKm47x7IXb++nZsrmU+uAe/kKmKE+xd6lqOuJ37g +C/Ik+7I/OKCuIl+DfXI9eXt86niZkLpWGBL/2chp7IWOb2X2497g1QVRA7P/ +sdAhr/hs16XOA+xLjj4StWln4BYcEzvgCPzAVWAO7I2p+L6A3Dlxt2Ac3xEL +YITagn+ycNKA3GeYHLXunsx5mfz8f3QaBMA= + "]], PolygonBox[CompressedData[" +1:eJwtlllslWUQhj8o55xCW07bc87/94KtC8YgskbKKuASgZbFSgoUN0gkQRFQ +jDcawCjgHsFgEE1EUASEUqHqBUaMiixtgQIxuOENxESNtEKAoIjP6+vF5Mx8 +s3wz873/zCmfv6RucdcQwgaoG3StOIQbi0L4oEcIVwpCGJ4NoToRwlLoWiaE +2nQI06HKwhDKoUfQf0SAW5MhNORCuB6F8Go+OmL1yjhWdUkIFYWOOQ3fEcgX +Uz6bi894fH8mfjux7oxDOI3dW3khPEisFdgfxX4KtpOhkfAdnG3Dpgp5NHIj +v/2hG6BmdHWlIfQm3tPIA4hXje1TyM3EfxH5OvIpir2KXc+yEH6lznno/yDf +ZfjvKnGsK+RYnXFtylG5HiXGT9g2UfPD8MehMwn3QL0oI2Ye/qUFzmEnPue7 +hLAS/13wW7g/n7uL0L8HfwvxR6MbA81Cfx80Meke3IF+NfpO7DuRlyI/Fps/ +SX/epT8LuXN3V8eox7dJ/tg/h7wHfiD6wbzFQc5uhh9GfX/xxuuRL5NDI/F7 +kedYUda9/rvYOvV8O/oydAfoxQnum4rNk8hvc2et7s64TtW7g9yGItdw3wLi +dxE2cs5FNaiWZ4jxuGLh3xe+hn6Vk9Pn+Ce5byY+y4m3Cf09Wb+R3moO+mH4 +j8s61wXQBeSdUF3SGB2G7lNinCP//dgvhBZxtodYE7C5l1xaybGhm988zduP +zFinnqv3rdj/mHBP1dtKcjtLvKI8xyzEpx7/evgi+BNZY1d36K4uxF8H/ldx +FuAr8C+mhtmFrlFvrLcWhtqw70Q3K2mfKnJZgs/rKWNmMfzgrN9uIfcPgh+B +zVjsx0FzcsagsKiz2cij0J/D/gwYqcW/Bv0y7uI45DL2ka8wewxdBTYXu4ew +EWpA3ge1o9uIzW/kdgaf6cirkPcK/9D6pHuu3vfmDTvItZyc+8BPgManjBlh +537kR8l9FmcPwH+P/6I820xEbkPe180xj8H346w/ujehNfgfR/465R6pVysi +3yWMLYc/y9mGpDEZZfxW/en5FwV+s0OcfQsfoJep9QfuaE46B+UyjxhzU/4G +9C1o5mj26Gw+fCc+p5BP438hdk/UG2G0t2YDNg+hb9KMgG8n5htJ16TaVuMz +juuf5X3XxMa8sK8ay+G/4nsb2NPzQDNVb6a30zeyEv1V6HKeZ9ZL6M5Di5FP +Yd8Bf4l8pvVwTTeRz96s31ozT7NPGBQW9caV8LtznkWaQY3qd+zZ+N/Mhj+c +M9bWYnMEvhyMzyt0D9SLlsizfT/5tUbGjLAjzHwG35wzVjSDNIuGkMwU7D8k +fnfhGXky8g7kfORByJOQtyOnkI8R8/c8v3k7fN+y/2sFY33gW3POTd9gC/w3 +3Pkad99FjAPwQ/SNJNwT9ea7nN9GM7CSuz5G35YwZoQdzRjNGp19An8y8qxT +DsplGfsrV+LZpO9gCjmMKfFu+CXyDNQsPKydoPkZuTfCRFvkXTc17V2pnaca +VatynkFubbFnm2aSZtMRYqxLuEeH4e/GdxQxLqW841pizx5hagD1vBAbW23c +9zz8NqikwLnq290cG1tfEqOa3F+J/S0IU8LW1ti1CFPvwx/izrUJv8nBrGfX +yrR3r2ZYfql3rHbrP8TZnXXtA+nnJOp5J3IummGbIuc+I+1drRq0u4vB+9Ye +3uHaRcPT/q+hnXR77FkhzNwGPybrXaIZMho+Jt4TRa5Pdf4Z+9vUDtIuEsaE +NfVwZs47UrtyAzG3RJ4pmi3CdD/6UcXdtaWuRTNDmBQ21YO6nP8T6L+Bvunj +yJsjx9JM0WzZRU4a9ZqxjVn/R9J/JWFwaNY7SrtKM7mr9Ny1Kekd04Kc7umd +pV2lnvwLItRQvw== + "]], + PolygonBox[{{6059, 2834, 4419, 3472, 5864}, {6055, 3631, 3421, + 2833, 6057}}]}]}, + {RGBColor[0.3896422375, 0.42122897000000004`, 0.43963299499999997`], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmGmsVdUVxw9vuvcN8nj3nHvus8hjTrFCI1DbPiOjzNBYRoEqRWKhj9dU +ZUq/mKBSTdqS2MShjZCGNo0CzzIPyvCh2kStgAgCalsDqGnS2ASpyKPF9v/j +v4j9cLLX2Wfvtdf4X2uf/ksemPXjqiRJTvdIkmqNU+uSZIqe6XqZrHGSnmmi +t+rpW5skn2rdBtFtoi+IXtqUJEcLSTK4JklWlJNkkdav1FjQfFdjkgzS/LP6 +/oyei1p/tj5JzumZpkP/nCXJXJ15teQ5vsGfs6DbtGa2xpXFJFmluWqNQ8W3 +SmP/XLzFs6/GoZUkOSV5XhG/5TU+a432zqr32ceRtyFJ+ujZp7mfaO0IzW3U +mlG11oszb9PztujfV/mMW3RWj6JlOx8yD499UjPp1rcVegbqjJf1fY2+9aky +700aJc617+dCryOamKe5u2Wf9lbx6ikbSfbOGstdr2eE1jyg/V1pktwheqXo +P4ieqvE/OufuxP64Knp+YnvcEjZpFs/5svmb4rm2yb74rvR5Ud+uaP2CGuuA +Ttdtyz7m5mvta1rzCec12p9faH58i2zfbNsf1twhPfP1PCr+j+gpNtk/2Add +2Uc8sHdZre2LbfFHt+ZXV1kW6BmS/2l9/7fo3Zq/UWf9Rmc9Llleqvc6zkKn +K7F+crXXY8dnam2TPdo7Q/OTtHah5i+IR4tsu1n+/qO+Py+5Oqs9vhD0zjq/ +b66y/LPDv3MUi1u0f6Z4D7xB9ilZR+KIeCK21mn9zHrHFeOsoDdqX4PWz2ry +Or6h90H5cZ34LdS4WWt6l+wXzrmp5LMKooeXbPsBOndkyTlUrfkRJefSN0qW +CXlW32Be8HlS8vxQZ90q3e/TfKvseFPYDN9jQ+zaUrJtq0Jfcmp9rX0/SvSC +ks/m3FT2K+nZ0mD7YndsPjqzT8do3Kk4fkx7t2vsEL9XCpZhaL19sV/72qud +m9j5VO4Ye0fj27n9sFmxfUK8zmrNycx80AW/vaP3c5o/ldmOxA6Yg9/4Ds8r +JcfFzyrmMaXasdRPufAvrX0idR6QD2DR++L1kdb9JXP8EsfYn+9PNYXN9e1j +rR2nve+K/lDf39N4Ws950Wfg0ej97CWmkImYWgWmSaYprfYTa8gJeHMG/kIm +ZOsnGxyUrknRub9Vtv5vwRjybK1zfK/ohWW/d4p3EZzjm+aH6bw3ao1J92jN +r0T/SGte177etc7ljYFHYBGYBMYNEL2xzn5pj1zA/6MTxwL7eP+16KOBlcQJ +c9gc27cHzTfWwLuAjHpOiD6WGasWlG3LZYEDV6X763ofqe/7M+/dp3GXbPBF +wTo8EXKBw+ANuAMmEhfEenvotbrWOPxZvfVifZ5a1w/lg+fqjOd8m182XiwH +g8vGnQ7RN7c6J/Zq7vHUNWqH6L4NxmTi7Z+psbOn1q4NfuiLHm+EbMi9r8qY +fCjmD9Y4P8D3hhrjxMzAEL6xH5uTKx2BXccz8/ieZOjXYDmoLbuLjhP4HM6s +1yGNfVL78x/S9/sF12Xq87B65+GCgvVABnQj38i7sbnlWB7zYOrkyB10e7jW +dqRmos8qzXVV25f48WJqmUdlrk/UqfvEc1tqXPm0Yhxc3uhY3VhtjKYOkn/0 +F+ADuUU9w3Zgzckq1ybyHnnAHvQmT8iNA/WmyRdq+v564xt5SY3cGzWavCBG +sOGBWM/al2I99Yd3MGVn5vU7NC6W3SfIZ82S/6tNPptzkZf4XKCpmzXfq9Hf +8DvzyL+i2v0FtoL3vuB/p/iNr7M+i8qme4r/33PX1a2il5Tda/USfX/ZPViL +6KWip4kuib5QMr6+pX2V1H3MXZK5LXVczsssy/SwJ3E1I+x8NupbW+TUwfAp +OX0w4nB70XHwdNTVqWH/nUVjERhEbR8S9R2cAGfgw/dpYf9jkvkpyXyk7BqE +zbE3uAUGEw/FwDCwAv8Q4+DedR9D008xTw6+mhmv6PUGp8aIewhQvf9S8vXA +X63uR4e0uu4djl5lR9H6kP9/S51DL1SsKzpT15CX9eQ5eqIH+PXTous99X1X +nbEevMTe4AtY0KlYeLHRNjmeuw4ey52T5OaBqG+b6lyfXqYvU1x2i75dY3uD +Mey11Of8NndPie/AhEv1Xsca9oGz7MWWXZFf5A5ykD+8k3fYtqvB3/A7+zlr +QOALOPOt1HqhEzHAHvom7I/twR/sj07gPtiB7akf4PA+jXdpzWXRp3PXnjO5 +eWwNPpyJ/PRAl0o+59bM8UuNoYaA17hzT2a/d0cv/Vy9aw+15k7xHSv+4zWO +TH32X6XH7alt+kHZuHsoMHlQ7lgdqHFCxbl7L7lVdt3YFj3AR//X77IeG+Jn +7NIZtRD7IAM9P/cO6jd9PLFzW2ocxVbgDP11V9h8S8V4CC4uiNxEjpWiP2gw +psIPf+PrGRWP7Vo/VM/T4lVdsdzs+7bmptcZE4iPwxX3eocqfocPGEtegkfk +5ltlxzV1bGnuOrEsd958HjUV/JxY55ynhowr2A/kNLhEPlyTvWA8oU4Qy9zf +wCzWjE5dZ6h51BQwDqy7IzVWgpnkHj1uMfqiByteS+2dmPvcCbljZ0iT8WCw +1lyWnIM0jsvtl/fKjo3LER/IDW6DV8TiooLrIDiIDsT6woLlx467ypYFPCCH +yQ3ygrpzZ2A1NQCeo1LXU/ZT5/aU3TPQO7wRdRwMxUbIAW6AYf2iduML4hZ/ +wBebYL/aVsdejcZHc8fEY7nvI6cbHTfE3ifhx59XjEdXtOYHuXW8X+OI1D0w +vTC5yDw24DxGahCx2S/ik54MGb+ZOi/Bl3Vxj4Cmj2L8LOi10ReDN2vzL+N0 +ueglOqtD4yS9vytekyuu6ZPjvwHxS0+5Pu7ZrKcXgP/nce4vKsY98I8YnBBx +ODCwHYxn78boHzoDa8nTM71kx2bj707de+5u9n2YO1NNs/GRunNvneWnjpI7 +Y1Pzmx55RGxTc4mXHeIzq9n1n/pcFf8fwD96UHCP2sz6MeIzWuvnNDte6W2m +xv8T+HIW+fKV6N17Z64n3fGPAv9sCB/dmBnbWzPjXyF6abBlTdx9vtZkbAFj +jkSdPV523u2O/hBMoUcDf87H/xNqP/8FuEsfqbgWkivg15Lcsb04d09H30Cc +z262LbAD8iALmEz/dSD6MfKJPhMdHyrbzg9Gf02Mz428Gxa9KDWW2gwegXvd +8f/kd7nv2Jtynw9PZGAcFjTxcinwaluT/Y2vv6576qstxpeLFefOhYoxZ3fc +reZJlzEtth/4BrZhT/ol7h5gAj0CvQK5QT9D3wNubNe+cS3+1zJXfP7U4h6Q +uOgRtqX+YKM18e+G+nO0bH3xEe/IhS+oHSvj3xE0vt8Q8jDXHfP0j/Tf5D4+ +uDn60eGZMYe71OLw3cSKMRFsfL/sGAMrwIWT0bu3xX0c+5HX5BY0PeWx6FtO +5PYBvnioYkxi78noKajrxMEtqes49Zy8J4/Ip2v/bBrt34fjXgiu7s38Pjtz +b9zW8KV+0PRp1MOPI36p4X1ifnX08vQHVZljlPsHPe3WwARiCNtBX4gY6N/q +PFsXdlgY/2EGxP9C6gc1fUbmM76T+X8icflIbkwfFdhL3nfEPxb+09Q1u47R +2+6P/nZ78IHf5orj8fmKc/Bc/B8Du/HL+optgU3mZI5t/LEu7tDFyP1Bqc+k +998e/1t2l937XMd47pToCEZg0xWBJ/wvoJd9K/O9l5w/mvkfAfeWtzPfgcnV +NzPnSmf8hyQWOuI/zP8A/Uzsbg== + "]], PolygonBox[CompressedData[" +1:eJwtllls1VUQxk+Xe4vthdv2/u//XgSRQgmrBsEFDDsUREQQaSmIIGWpQCK7 +wQcTBJdE5cEERIN9qMYoIELZSkR8ARNR2aEFQXHD+KAPAokkRvT3+Zl00m/O +zJkzM2fO979VDcumPVMYQmhCipHZUQivJEJ4n8UnwKuyIcxJhlCNcRl4HlKD +/hM+7dgHI8dkKwphEHhURQh16RD6pUIo6BDCSNaG49uI3MiEsDEXwkusn8b/ +dXAB8gb6QM6uxt4F/w74LkVuos+LyQHfWSUhNIDHIaPB3bDvxv4d+Txb5LUa +bD2Qc+TeB70afAX7J0n7yPdVznskOIfXwEXIZvBG4hWC57PnHXznsH8h+DJ7 +VqKPQh+r+Pi8mHDOPcFjYtu6sLaTfD5grbwshKP0YUg+hM/5f3cnr/WlJ6Px ++YV+XSkNYTK+xfSqrTyEv8n5I3xKK0OYir4EPA3/BPZ29FvYd7JWSayDrC8F +bydGC/HuTLjHI+jdAfynE+Mx9PX4DcU+i3oXc2Yh9uOcWV/mHgzKONaFcsdW +zIH4jAi+03vAeaSEWFM56xZxP2R/abHr2QYezFpR2rmXpHwnupu59GRR7J6o +N8fQ29FH0o9r8i/1jFRQT9+OIexA34ZMxzYcn3/w74P9W/rfmvQd6C4eIF49 ++e2h/ynO38fahqRz2guuZu3mbSFsReZFzlm5awYeZO9f6FNKHXMw+iF8ehBv +KGv9c74T3c0qzl8feyY0G4rZC3wi61nfxP6T4MbYtWpmNDvXiN+U9BvqRfwN +sWNpJjWbV7G/jX0t9hz2mpxneyY5jAO3EPN6gWvaA/4N/63gdfh3y7gm1daG +fhTcM/asn0Cew/5u7Le1Bf098GKkocQzolmZwBkXqa8Jn6exvYBUl3hG1oHv +w6cOvJv+luJ7P/oM9Bb0MvQhGee6F70jenf23ChwjCq9BWQpsfeS82jlknWv +ZnI/p7LOUbku4m578z6qkPYyx+ie9x3oLvTGPo2co3JVDUvA55EvwPXE/JPe +XMr6LM1sf2Kfw/57kX3awKdic8sR9NPgBbHftmZAszA88tsQxwwDT2P+atN+ +q71TrlG1vkU+sznrCmdMTZgTV6LvEIdgX83+7eBdxMAU1oifwGvxP5Iwp92O +/ijSxCx8ib4nMseJ6/TGOqMXVvoN6+12QL7P+C2/TND9Wb+Nx9POTW9kOXv2 +E28c9qdkzxiLo8XVrdhPJDxzmr25rI0F/8ja+cgcL64/g/5ZZI4WV4ujitAv +xH676ql6K65qSpubxFm1+DQX+oyD4JbItd3FGRM5qy7y7Db/73sZuSpf9FXg +KZHfgnqi3nyD/Izeir4S3BY5V9WoWqcjzyf8Zu8g1wuRv0UHsK8Qd7E2nrMn +IPM5/0zkuxNnnAafQrYkPNMnwddyvjvN4HXwftb4+++MA4DJke9SazGx+zGj +rZoRermaxXPID9j3cf4y8NfIZvRa/L9S75E3E35TxyP7yHcM+c0hv2EZY92J +7kY1qBbV0IDelXM6V/j+NQdJzr630rPxMTl3AR9ibVPKc6lvxx9pc6m+IeLa +TCd/K8S5h6mxa5l9NcvaO7PS3K0Yq9F3c96AlOd6EvWOqTD+NTYHiAtUU33W +HCwuVk9nZc3lIyrM3eJ0cYi4RD2pw94pby7QNygNnpH2bwb9Vuiv7yN4V8pY +OeTR13R0vsq7T97c0UvzmbcIX8WWyPvOdfeaoYv0shF9UtKcNz7nmdJsPcTa +gqx/0+i3zZPoK8DLs8Z6s3q7K3LmUnHy8pw5R9yj3wwDsI/MONZEZGHWIqwZ +vxR5xjXrD7O2CNvhyG9NnC5u17e9JO271De+OO9adNd6+wFpTnrGzrL3SGTu +1zdG35pRGcdWjar1bGyuEwefAf8LyhRJ1Q== + "]], + PolygonBox[{{5558, 1670, 4625, 4023, 6186}, {6060, 3633, 3425, + 2844, 6078}}]}]}, + {RGBColor[0.4543818125, 0.48277035000000007`, 0.495164225], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmnu0lNV5xr8z58ycOXMOKMw3czBpTTVylWvEJMpVE2Pzh+myabpsNBeD +UYxUNFltEhtlFRRDtLWJVgoYk5KutDURTVOQOyR2mT/aVVer4DUBEZDKTRDk +Dn1+PE9W/vjOfmfP/vblvTzv8+45F3xp9h/fXimKYp/+dKr953OK4rzBRfEH +VX3Qs079C/R8R88Xu4vimLrH9RTF5yRfI/nGbvfPlHxzuyj+QpM83SyKjlZR +nGIOtcvrRbGi7u+qaifoOaCvDuv5tua9ufCYGzTPrsLffyhjznQVxdqKx73Q +5Tlfl7xV339d8iaNOVJ4j7eo7VDf+uy3InmD2gf0DOt2e2vh/fI9e57Q4zN8 +XXu7alBRfFbnH9un/UgeLnlPr887tsf7+4DONlfzXlcWxWh9Pq09vaG5Dlbc +vqs5R2hv39L4+1hX8l9JHqp2ntp79bxT+Pu79fxcY+7q8Zhlkjd1+TPyDr3z +TclzJf9Pl+UfVzwXY+6V/KlOz7lF8kTt7RHtbab2Nl9jHlX/icLtQj19mmOY +xizQmM9rTKVf4zWuU+0Y9T+k/hnqHyL5LsnXlj7P/Zr7y4XXZx/sZ3rmZ877 +655/fvbFGdjbE7HZPLU3aq4HNedF/dbZmornZWxRK4pfozs9fZK3qf2G9rC2 +oyjukP+8JL+6U+d8Un0N6Xx91T6xXO1/6nlc8gq1z+tZWrGv4U8rNVdVdvzi +ALmh7Phnsue/6/MY2ffp2Bj7LtEeFuvp7fK5/6vLc/5fxS0+dpvO9SutPU3y +Z/XeLM11WZ/nu+4cz7lLYw/o/ZfVPqX1l7EP7WG9ztzUOj/t9zxf0fOc5urT +szH+ylj6dmj+gWp/qf6N6h8g+Rfx417JGxKTm7vsQ/jPM+p7oWrfuF57+ZX2 +NE77Oa9lfQ5R26unU3KDuNS7qzV2vp4L9Xmw+i9o2SbEHnb5gD6fq/7z1f6e +noGS36/2UMXym2oPVzxme8Wxynw3Fd4ba/2G7/VOTfI5LcdIo+Y4OSl/OK49 +n1C7Su1rVfv8+IHSwyDrC19jzGvqX6n2pap9apv2OAcc0FrvVDw//t9uef6W +2gP6XJe8VW2zZXkwe2nZ36pq95a21x61I+uOxxGJ07l69hXeK/6KTrAlOADu +gQVjE4P4KzgFRqEXcBM8mtIoilcq3ufDddt9WmIfHYEPb4Bj+jynYkwdF5xh +7G0Zzzrjsu6O4BpY9rb2vV9yv/xql+S9ktuSr5P+TsnnFzWMbWAcmHe11hzf +Y6ybpu9e1RxbNGe3dNGhs9XVvq903BF/FX0+rTk7W36fd8H/57I/4pqYuC3+ +3NBZ7pDco3aR5lmndxervbjbPocteAf8xs+/X9qfH1e7pHRcP6b2B6Xj4oel +7bg1/nVJ8gJ++o+l42Jp6e+ZH//DHmAJeQT94oO74yf4CDad3eN99ga7ZgXH +rtSZl2rOv2TPdY/rjc4mRG896f+FdDSvz+8O1Jgf1YzFrAE+4rPbtNZC9Kk5 +/0HtRdJjqXFN2WifPh9U/361p/SckHxa7VEeycewZ6/x6fYu7+/P9fyyw3ac +1eVcxt74jF3eq9g/wPw9NWPi2xX74Nvxw7u154f1nOm1/XfHB+5V38I+n4nn +0T6vyx6Qf1h1uzDykqpjZEZhXd0TnXD+eYmdSdLnYo27XWfZXTNeg6mjid8e +v3dNp99dVTEGb9SzqMsxAQ4TF9+Q/Lzkv6547JyMbzS8Fvn05eA1WN2sOa7B +40OJSTjCuG7zg+3BLlr0NrbbMftmchDxDDdhTdYmp7yrMxzWmEOl98X+yA1v +1j2GvY3pNg7w/h6NfY5cCKZ1O2axDfp/vmF+1Zu8g39uyNmJPXzqtzZfHH0w +hpi/OnbnbJx5WIfHLMm7+Dzjry/cboi8tu4xvVlnccbvrTl/4AcHdbZDkg+o +3a7x86v2DfIouMjcYCRYSd4Bjx8KJtOS65H5nvG7witHRl6tMaPq7kPXC2IX +vh+VOeEm4D657C317QmPID88khyBLy+NP78RHgFPwS/wLXwD3jW87vHkF+S9 +se23Y1/Gjsn4NWrren6gsV1qx9btw2uqHrNfY3ZWjQ+M3x8/3h08wZfx/zmy +7z16ij772oaa8/v2luWrFRNdNb8PNr2p/vX6/ImmfRCZ/L5N/eskXwUOE1uS +OxQrO9S/UfIfNu1TyHADcHp/zWcES/bVrDtw/Z2adQ4OHawZCz+i/XbXbYOn ++s2Pnlb7Tc27Tuf4oDjXRH1fq1tfe6PTHeHn1fAEMIzYJvY414GcDQzDt/Ar +4gY8wm7oFf2C1XBwdA4Pf7zq/RwOl0eGz8O1icOlsfuKcLytVWMLPvNg6f4H +Sq/3TLjQd0pjzoL0/zhY971wju+q/bvS3OKh0mdYHj75t6Xn+RvGRg/fjy+s +iQ/gU6vik5xrXHym3m1dw7HGpx/50dLv/n1ywvj0k7/mJ8etzlx8fqR0zDxc +Oj5W57zMx7vvxL77kvOoA+alFsCP0e1Z3Oszn2okJoYlFjgP5yJ2nmw4t+HD +cFnG9iSfI4Mb7GFk4ndlfOCxxCU8flnyzwPJQSf1/Qk9m3M+7A4/ZP2h8aXt +8QNweHV8El8gti5OfFEbDUss49Mrgzn4JfunfsQX4FToB57G/HCBJYnnfalj +2DO1DPuupsYEz8G9VxJH6AaOwpnO6rViPAMHwTHqi1U117PwjjU12+3Gluee +ohia0fK+pkpeXxpLr1d7S8v+Pr1pvvZpvXsk8YKPkpMvbxqzT6sOf1Br/InG +HK14TfbAd9QXK2qui8D1G2rG8y+I93WJ/5Wy97lDVPPIloPUbm15nx/T3EcG +m1dualtP6AtbfKFl+0zWmE9KJi3+rPQ6jIF/XtJ0e0Jz7Bh8trwvntGYPZI/ +KHlduAx2ggO9UJojFHrvhOx4vMdc+OQA81Q4Kn69Nb5NzkQv5E3ODL/Ff8CA +I1Xr50hp+T21c9vOh9cIuzaV3j/neKm0LbDJK6VtgU3gG3syP1i+tOa+/0h9 +Sp06qtt8jjg6qHNN0LvPwgklHwu2f7llfJqmc71WWqbvrdLz7yxdd14zyNhK +3O8MbvR0mxvDY/E9/A6e0yFdFA3fbXSp7Wy41rk8uYk4Ae+pCcF8uCS1InXi +lLq5AbFH7Xi0Zj6ILvEvzovvkMPxH+r3vvBJePSRmjnRxH7zk0v7XVehiy2x +w8hu24J5qRmJdfj74Zp5E/z9UM11Hud7t2b+Dpd/r2YuRg6k7l1f+d29DFhR +9Pg8nOU4ONXtPMSarZrXhTcz5pNNf8+7t6Y+wj+JU3ImdwTcD6ytWdfoeXnL +PH1r076EH8HZajprtWG+83PZate55rz/Vvp+6VNqr5Pdj4YzzxzgOzL428Hw +2bM8TH079e5ujdmkttDnJyR/VesO0HpbtO5IzXNG9e2/qn+E5A6N+UmvOSP7 +Zs/EKPkDPAHP4Ahn68SWz/PxpjkCdwHwBGpT+jkj/AvcosaCQxF/1CIrS9fL +nyldtxF/85KXf1sfbG67lnuxbUyGu+Bv23tdI2GLo03zyfeXxtRngufg6Mrg +Khi1IlgJF0eH4Aj+ObWe+8PwK844Lf34M344LTK4Be6Bf9TD3OeAt8y7PHwS +XHoq+AUHh4vDDW5uOf99rbRfnambO3EvyRwf1xl/1nQ9d2vbXJ46nLyP/ZY1 +XGuRW1Ylv2xIjOGzcIDR4YST1U6q259p+XwoeWlicivtpZE/HPmsf1b8HXmM +9y9PjBM71LrYlHoXmTjiPd4/mFj7cOYZ2XbtMartOSYl7xN3k7M3dEDME+/c +2yETd+genRP79F2R/jFt10tjaduuYcarvTJjNgZnroxMHzLYAA5Nia2nN3zX +UGn4/pA7TXjY1IbvR85Qe7fMHQeo/WjdWAIPBFf6gi2TolfO9aPSa/9T6bgi +vtYJG0Y3ndfIb+Qa7jbBdGKe2O8aYhwaGCyamnOzT3CrEey6s+V8Ortl7kx+ +gvMQi9gcTgJGUss90Jm76vC3S2MfbH1F9IE+wddzg7Fg8+Dg886643Gbxvxv +y3nnhZbrOuKH2AEjiAPy4dk6r+4zw81m576FHAbGw9/gUHApchLcbW34GzmE +Ogf+cVPLPOur0uGXWuaCd5KzWuZGd5S+kyS+4BjMSc2AXYi3ZeFv5MPjg5wT +H8lZsMHU0vFFnD0mnOuRTa7t8z3Rssx5qOl7jGmlMWZ+cIa75PuTn8jP5FPO +B97Pj39+WvP9i+a9oGocZG/UDfXkS/wEX7os/gSHvCv38NSVO6PzRbmHw6Zw +lrfSfzz7YU3wh9wC5lD/fiv3hKcHGtPBc/LDqMHOEZwRfEU/O7MefJX69J7U +iqfqruvAJeIGf8Yf2C85lT1T8zGG/Iet0D1YxD04+ruy7TsYOC78lpqAuoK6 +ANzrSE6d1WuehX8wF2uTT4e2/HlYy+vQz2fw70Sw4mzdmX3SdzL9P5Huf3+w +74Jm6uwz8k7lHOc2fJZ3zmQ8+fp49Ekf+wM3sOH7BtuOYBWYdShYdCbY8lON +OX+w1yEuyLebch8IVhJ7+Czxd1PqjlPBfPZF3GwOlk4IroKdYCixeirnYsyx +/N6CD3DuImenroXD7U/OIlcRy9wLjs/96tD8nsLvKtzHL0gdOrRpDgmXBAep +BeDKkyVPanjNh+OT88JL8Xe4IjmJ3MR5abdG/nzLdp+t2Bna9h3rMLXnNz03 +fJyY+Ghi9rLI68LZLot8cdv3X6PVDm/7N60Ravub5vZwfDAa/sBnfmOZmxqc +317uSr1MnmdvjCFvb6mbM8Jp2Tf8Fl2A/9Tg4A0YCWc4rzSvgF+AyeSODcHG +J8JnLmrbhy5sG1enxzeI0ePBDbgc88/NOtuz1qzgCTkAXgA2gI0bcz8GBkwK +bpArORtcgvslbMU82A9OTj+8EX3AzdE1fdsy/rx+n31Iv/X9keiZu8qehuN1 +lPLQffLlFS3ni4nJ4/Dlejgz3AqOhY3hS8Q0MX5v7mc5CzUYtdhNbdeK8Poh +pc87L/e31BDsmz3DB/fEt7kfWpk6Dc64N3jF/UEj+5zR9m8St7S9d/q5a+Ws +zMvZyS2N5CPun1alfqZu3hfMnJ5ahj082+v7MeKdXHdtw/fmYA6/p4EhI/iN +UOsP77f+iRnseHvuwMkL+FRHaqXO8Av2Q/14OjUkOZx8yd6uapub/qbluw5+ +4z17l59c/7WWY5D6dFtiExn+QHsi8sXJpeSLamIX3+DOZFzuTRh/LPNQz7HP +OfGprtR0+BTv8+5r/dbLq/2+n6vljg5uQW6hfqO+pda5oumahHj7o9K6fDb8 +4MVw+JfbfgfcB/Phwfj966XzE3MyN9iBf71IrRxbY/PPpF7409KcgFh9uTRX +IA+9WpofgLmbS+dwOB/5/itt/+Y0s21dcO+E/vHb+/LbAb8h3BuZ2mNK9IPP +4WczolvieW4wudr4XVzXUq+93nIN8OuW55iaeS4MVsxT+4l+8x3uXT6XXE4N +UGQ82Las3/clT/b7jgafu0FtZ84GTyGPUM8dDXctshZ4fyL4fXdqRHTLbyV7 +89vN8CHGJ+5WTyYvkRPBSTCSObkH+u+G34UjgP9wOTjTrPgAORWeha0v6ff4 +D6n9WNt6QB/YH/4BP2Btfj8iZpifuZlnZmx0db/jgbjY0rKeJ8UneYeYZJ/E +JOcnP8IjiB/2RuyhBzCf94iZB3O3sihjiIXJiZOO3GPDSfgNCn1RR3NvCQaA +LdgDW4Kl8MBH838F+CPf0U/tPi14UsSG7IG+6emvpO4ANzrTT1/nENe0I4ZY +l/dEn+QH+sFV+uYEoxbmtzDwtJp3meP/ATmFDm4= + "]], PolygonBox[CompressedData[" +1:eJwtl1eQVUUQhmfD3YUNd3fvmXPvgoKBnDE9mMAE6gOlqKWCmYwCJoKxrDJV +mRNmBAVfzKnIyVT6oCWlSw5KXFRYkbxKWL+f34eu2z3d02emp/vvvicNu/2K +CcUhhFVQKdQ+F8L8qhCGV4Qwht9/YwjrMPg3E8Jh+GwaQvfyEMrKQqiFv5+1 +KuSlyFuRPy2EkFaGMKguhDPqQ7gBfQN750LPwt8DtcZ+EfabsN+BvBr/u9E3 +wV8DLYOfAz0Nfx9Uif0S7Ldgfy9yBfJi5M3Ia5GnYzuKs6+BPxR91p+5zF7u +0qUmhO21IYxH3sm5cuiL0PfBR698CDWp77IHuj3hHOj3of8R+0b2T0R+G/kx +YtGd+0xHXprxmXS2d6GvkbPID8K/AS3O+I66q77dmTPsqPQZGlnbiX4m3yvi +ezuj754gd+Asa4jf0yUhfIP9OvjL0f+Afjb0JPwkqBF+IfQK/EfYRGxPRP4c +f2sL3nsS8hfIddgE+N6cpwf3Hcx5DleH8DrvOw673nnHYitv0I7vL+Cs13Lv +FnQvcef17J/B/tG4WQdfwGYztlWctw38aOUH+vnQi4o97z4bHw+xN0BF8D1y +5j/A52TOdCV7m7D/Hfs/oG58fxfyn/BzUsf6Uagb8W7gvNPwMRj5IN89Dn2W +/QeguxOfWWevRT4Bvn1q/iA0Ef1L+FyA77+Rxyc+25U5x0dnHI9+Y8Y2U+Gf +is69ndiPxb6R7/cgXh9X+A2fic7lJvS3op8CXQU/BF+1nPc59PPQ/8Xabehe +iI7NLuRxyE9Ev+UO5DHIR/DdHfqowm/ycvTb7kY/Af2J3Gcb98shnww/gvca +RDhvIGYj4cdCU8iXW5BvhZ/J/q/YX438gGqNPb+yv4T9lfD1qd9uP3QX/ldj +8xb2I4UBynXoy4xrWrXdAq1n/xHWitibgQJ7V5DLh4ljKfKGYq+VwU/DfknG +NXqsVlN/eyX2LdgvZ+1N9MPZ0qDcTO27AX2z3iX1XZuhSZzvUijCfwU1olvJ +nmnYj2DrCvg7WFtUFML16O+EP4P8X0YcnyImu4jHMGxWZfwmz8NHbDZx3grs +8/Bpan6f9vOttshbip1jx8Mvxl81Z0t4+yXwB/BxEF/LWGtSXpNPy8mRZva8 +j80jfLMLdx+L6mH4BPti7Puy1gd5ADlyU7Vr9mP8tcPHF9RMU6VxRpgj7LkP +vj4xRggrZiJfAH9RYuw8ik2NsAbqwLceR78kGvOEfU8gd5Y935xELOazZwB8 +PTbXYb8UmzbwF7B2J/o56C+EnxuPPUl4SDGD/56z9c36/n2qfGfd/WH0JyS+ +e3GNa1sxKMV+TLXxSHdU7Qxl7cwq19DFiXuFMFhY3CZnzBHWaM8u1vZk3BPU +G8ahG8L+Q63sY2DiXiBME7ZdgvxlmWOsWCtHlCsp1Cl1janW5PMv9AMS944W +7lAbXeOq9f3o90bXtGq7GblZvYmYfF/uGK2Cz+GzFfq90B3YXobNlIxjVkic +w8rl51jrhXwhtBDbI6xlsa2rN1YI44X1Fxdcu2PYP1DYjc0p8GcTq57IXaCj +rUP4DtqGLl8wdmqta8Fr0qmnbIfvqP4hLCNeneD7Je6N85Frkc9JXDtzkbPy +rZ6Z+b/Hw5+bGAvmoa9B3z8x9i9ArkM+L/FZFyLnkD8sODe+0xtzt9F5Y5Ny +blTeNaha/In7nIZtHYHaWOwYJvDVUGmZMUpY9Tv59GmVe7VqQhgjrJnKGU9P +jCHCkjeQz0Y+P3GtjWOthPO3wkdRmTFJ2NQ6556nXqceUsLa0YwxTdimGCvW +itm3qlX8DUaehY9fhJfof2tljBfWFwruVVprA19ScKz7c4ae6Dtw38VFxoCO +8EPJ34uITWtsevP9f6Jzay3f3x/do9SrhNnvKJd0h3LnzMbUGCgs1IwxK7rn +qfcJo2cgXx1dq8KA9okxXdiuGeUt2afGRmHYXfDXRteuZizNWi1Z91j11vcU +o2js0cyh2aM78TuatU4zgWbDFbXGOs2In2HDcY/VwOfRGCosVQ94M7pGVCua +iV6P7onqjcq5I/JPjHqVe6bQbNEZuUe5c0S50hW5Z7kxW9itGUuzlnpCx9Q9 +Tr1OGLAN+W/kNcWe4fbAvwYtyjimiu310VipGuuUuCerNysnilPPCJoVlEPl +qXuwerFytCr1jKhZUT5fjX5DvaV6wkH446KxVT2pbfTbDyEHelU5By6hRj6o +MdZrtrwxGqs1I2tWVo2p1jTTjkhdY6o1zWCj9H7sva7GWCyfPfOe7dSz1Lv6 +5t1rNDNodhB2fljjWV4YuiLvXBWmrcy7h6iXKMZdkPdFY6FiqFgKs4RdepNO +ec8qA+qcy5pZhKHCUr1hN/SnFlzrmvE06wlzhD2aMYalxhRhi3r4zakxSFik +meBG4XV0rWum1Gw5IbrWNaNpVhseja3q6ertmnE1y+k/xyf46pwa+zVTarac +HN07NTNrdm5LPmfqbK99G1L3Ps1Up+GrlPfJcp+t6DP1nkE1i2ptNra/pe6l +6qFnYd8/Gns0g/WLnsHVxzSDnM55GlJjif4z6b9T13r7PoYR8P8Bhx7bjw== + + "]]}]}, + {RGBColor[0.520089995, 0.54506703, 0.5512831924999999], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNnHe8VNX19mcu1blzz5w5d+4dS2JXwBopapJfEo0xNmyAXWlWQEHpYgMV +6QiCCtIELGBvsWGv2LsoTbCA3cSOjff58iw+vn9s9rr77LPPrms961l72KZn +v059a3K53NjmuVwT5Wk+l5uifKRSreQRyi9XKkq+WPkkpbzks5Sfp5RIvlT5 +FUrrlc5UGqa0icqHK5+o1ERyX+XnK3VTOkLpSKV5OX9rqtL+qtNC6WzJzZT3 +U36B0oxiLjdXf/9DaVB9Lvd/yrdpUD3Je0nOJA+t5HLXNcvlrlF+rtL1kmcq +P0/pRsnXKh+mdIPk2cq7x/c7KZXyHiv9qJN8ifLJSueo/b31d4PaH628ndIn +Ku+v8j9L3lTlAyX/VfKWkgdI/ovkLSTfp3yZ6i5VGq6/T9PcXqT8h6aW2yj/ +WqmX5F2Uf6N0puTdlb+jdwpKmypV9M8JGn+D8tb6ezOlzSOnTi3r1uB3xyjf +T3+3V+qg9KT60Frpbcmfqd3jVWfbpn6f99Rsrk20t0Ws+2WxFu+oXn/V76D8 +W6V+ktsqP191dlZaoTrf6++TVd66qd+nvTqlVtF3+jhYfequOoOUf9fUcivl +K6POjuytBrc/UfnUBn93ivKRDZ6fS5Wf1+BvDVOe6cXj9bF65R/GeP/J3tK6 +LtD6zlM+RGm+5GnKt1Z/X9TzR5Tu0/uj1M79fFOT0EfPjlJ6OOc6LyjdqUOw +g979kw7FaE3yK3reRWmg5EuU7xZ7kz3UI+f9St5TaVFVc6F2H1K+e97921ep +XmPeXm0eqjYfUvs7Sf4LcnzzeaWy6myr8kNqPDfMUTXn/fBurHemOtupTkfV +mah2dpH8kr7zgJ4tVnqW86nyXVX+tsoXRdvPMXY1tpn6dr/yB6OMd+6P955R +elDvbMV+jvPaLcb5H72zqd69V/mdSo2S71LeT3t+T9UtaT77Sm4v+UrN+VmS +26JHJM8O/YHemBX6gL9nKk2IvyejeJq4z3NDl3Aej1M7XfWt1/Wta+Nc8my2 +1r/K2VeaE23z7AJ9b6HGfp3yk/VuT737tt7tIvlEya9K7iV5J703TnV6S95F +8gTJfeq9tpdLPkNyK8ljJN+td6p6956qdV7XmJcvQkbfnan6f1L9yarfVXJ3 +1X+z6n2BjumsNE7POyh9HnuFsi6xtqzxJkprNY9PaH8erDbWoNdUdlC9z9Se +ca7HN2qcLdSe8n2aWb5Pc7en9kZFebsa64q94p1FKtteaW+VH6nvb640X+X3 +qKyq1F7lR6ivq7XBjlR+R85rgG5eojYPbOE9dZ7e+0bfawy9sXd84x8qG9bC +7XXWw46SOykfpLmYq2eDlX9Z8Xwyr99UPP+sw67KV6uNdkoD9P3hea/HHWpr +iNrZTvmYRrc/Wnkn9e991etcte7oEOcf/bPT/6fPyFvH3l6odFPOe/5mpVvo +u95/Xe38Wfkn9E/93FHzvZ1SSz3/XGUn6tla1TlJeaLyZlqXN5Rfw35vbr0/ +S6nc3DaJNdhcqUON9QV651G1tUOsI+v5bPSJ83q1ntc1t83gvN0fZ/AsfXu6 ++tNX+bH69kfqw3HKb8/5DMyN92+K8SyKMd2q9BfVe0P1/6r8aKUPJR9T9XPO +3ux4Z2b8TRsz4u/bcj5LfKM786J3e1Td7ux41l9/f63yAcoHKn0jeZDy2mbe +twdqv5yufk/R32cob63nn0nurXfz9c7XVLzmO8bandlg29RH+etK56ispt7r +ybr+IdaZ+hvPQatY3yOww+gcnuvb6zX33+W9N9vEntgr6vL3ELX7d95RnwdL +/pvktpIvynsvrlKdf8c7tLF/fI+//xX92DPO7f5Rt3M84++L89b7H8S53y+e +fZoz5kFfDNb3vtW8DKkag/wz6q0NmXoj1cYeSmtytuHoB2zBOXpvWN5nCXuA +jcVWtGiwvkXv/ljxGUK3jVK+XvN/mOqMlVyjeT5RcrHBuhqdfaHy71Vn+2iv +dczvxxXPD/P0dN77H11/r9J/m/mcrNQ/K1r6/GxW9d9V5a2VlktuVD4RXNfc +WG2qUm1z46elsb5ghtrc77jm14r1MPp4hPJ1arttjLNV7AMwCPZxB/akJuKC +vHXKZKVNmhu3YQPRRdiWmgbrZ/R0Mb7L9y5V2S+qt0/O9h8c8Ejud7vLN+/W +O+eqjaUqHJ+3TmPu/lrvuVyf2YbNinPE+nWLte6rvt2St61irbvHs54a40S1 +c7LyI8Csko8Es1SsS8C5cyvWMWBM9lKPeH9CfIdz2146sb3G2KHR+By7Cl7n +TKC/wXIj1Yfb8j4rM+LMoxOxo3PjvD+mteqk9Dr9DJm1X9bSf/8tbC3tgRGP +Ud9GqM/HVoyfaQsf4HD14yD154hG+wXYZPD0Sao3WvW7VnxeesZ4wNScjZOY +v4r3Bfiac3BkzCW4aZ7aXKI1mFHx2oLNl+obz6v8XeXT8sb5g5mXvHHgEM5T +/e+6h/PEGTucseftIwyU/KjG90hL44Yr8/YRBsUc3xzztV+c5yPjPHeOv/eM +c0/ZQvVjjvqzQPlgzfmYvM9kh3i+EZvvF+ccrDdT9d9qYkzHu283cXtd4htz +KrYP+Ba3NHoebm60Pvp3fHuQvnVZ3vt7Qt64t3/sx1tiDJNjndHhI3TYrlK9 +rkqXSJ6uvBtYNdE5L2kPqb2LVD5FZScpHZdqPHo2TGUXKE1S2YlKIyXPVN5d +6Xml57CFSqNUPkd5j7z9OXw48PIz2Dj0ltKxanOA2hyqusdIPlvyYMlHSz5L +8kDJXSSfLvlsyYN1xs7IjEGGKu+VWW/dpDqrVec09rvyb8paQ9X/rw75t5K3 +YJ1V/p3kq1X+msqP1ztfsQf095oav3uCyoap3vkqO0pyb8n9JZ/Lu4n13yT9 +vZPqnyp5ouQ2kk+RPF5ya8kn573m2G7WfRsBukT76ln2q+RinC98avTF8Jz9 +TbArfjVnd3as2xTVPyrenRTrxrMO6n/7otvljHaOs/lEretj256Nd7u0NIae +F+e8MW+fHP2xUG1cW7RPja+NXw7eH6t25uvvntixGvsW9Xn77/j64F98f/x7 +cO+u9dadP2beg9h99mFbtf1kwWPuFDqEsf+p6LJapfb1tku/ZPar0Ifo/TZh +G7ALl+ft1w+QPKRg/Yvuxec8RuUtauxPHi05V2P/tovkx/LWcWCq+9BZeveO +vPEvvvexqpPU+HyAn8CGt4fuxwb8IW8ZLPygzuS+zYyf0QUPRLtgnU7NjDfO +0bydqfzovG0Stgk7dWPRfsKZYQ++CF13nuqfw75T2k7tFNTOWrX/Y1NjqXWS +B+jZgUpfq35/5QfkvW9vaLTeuL7RmI3+4keu07tFvfuT3h1a8J7FXv+k8jqV +/1xjLPdQjPnmGDfjgYM4rpn38cOhD8Gs6ETk2WrnDMl/b2b/eF7e9ahzl9Zx +qMpurbruo1HOOj8W6469ZU3Bcnc3sc+A30HZsijvFPVpq1WN+YslMV+fxvzd +28Q+Dxh7bVP3if7gN2BfwD1b1RvLfJGZTzm+mc/qjvXGEd9k9oHuiLMBdsCW +gR82rbd/syYz93FiM/tTh4OBhCs+gT/Q3N6lup3yxmLYbvAY/MgJzawjOKu3 +hv4dorXuhx7N2/asDbuGLYAfwPcZonZ7qP2hygepfl90ZN4Yalmc8bmxH9mn +izcx1uK8I3PmwWHn6/1T1M4FDT5zvHtt2HHaAouD1ajLGl4b7W3E/rdFv6+u +eO/g33OesLNVje89Tc5Lklc2BvfQwvsXv5a93SfW6azY891Cr/D3+3rnNdVf +3eh5RcZnvRLuTH2+Svn0inEi3B744Ozc71xLv2iL+Vod87djyJy5SXCCamey +8n3z5iLRUwMlH6T0reTrNLdTtX5v6u9eOpuLlR+W93x0iTlZUPS55f2bpPt/ +rDMPdK7ePVvPj1e6SH+/nPd3joj9ydoOKxiDglHOLRj7Mp5/xrrvi35X26OV +/k/75MKCfUgw31nq9wnqf1/lI5ROl3yx8nFKZ0ker/wypd6SRzW4LfYPbV9Q +sF8KXhysdIjSj+wr5R3RAZKHKj9U6Rf0T8FYHLx1fsG+KDhjkNLBSt+ju2QH +Vya2d+x1dOKdOfNGD4YOwaaig3vFsz/EuXok5Edjz24ez/9aY95rO+xkrXVw +b8md8/aB8X95Z+vQv9vmLb+Us03DLrJO0zV/02L9eE498Dt6E72MTsauYF+a +NfjMc/Z/rthW7SM512Adga74vmKfBt+Gs8yav5x53eEI8cHwCS5T2yOV9tB3 +SqrziurcGn2HN8PW4DdQHz6n0tTvUH9kyOgr7MeWUf/SaBO+EXsNDzs19ju2 +mT2fVYxtD6j3PIAtwAb/CvsNxkoqxn371RtfgDPAFOx9fIMRud95fDBFEu3g +22BnqD88Zz/60/Cl8Z3gjuHmxoafgr+yPvjHDfigYqx9ILg9b3wAVihVbLf/ +VW//AD+B8Y3QnN4oeb9IYIuN+AMZXQEmLjUxF1quGI//W+2s1X58Rhh1UsFY +udzEXOhw/X193t9PK8b1+6t+04rtxGH11uno9v9V7BtODr6RvX9Uwd/gDB1d +8FxzLo8peGyclS4Ft8u5PxZ9kPM3jytYzzCm4wseO1wCnAJ66aoaYwf2+c1K +Jxa8XvDOfWJftQ4Zrh4b3qNgPrhZrDHzcwxzk7f+w573LJgP3q1quSN8WtXv +HlJvHgI7AheB74MNgk94K2+/tBo2hjrokitqbFd7ha3qF/ZqtObpV6W/69nY +gnE3Z+byGtvwM/LGyox3lcoXKj+h4D5/qvV6Vus1uWA9iw+5McaADG+zhcaw +tKnb+0L1F6v+FWC9GvOOrBE+Nr52ocHcJfoE272l3lve1H0Hb4CzwZZPF8xd +0gZ2i3jGBMlPqe2X1Naler4NcYimXh/6sWmcuyaxL1lHcNlTBWOzBVHOuKbU +GmOenvfZvTTO+OOqOyXqg7XB3Bfl3Ffap+/XF70GzD++Si7mMNtYljOHx7lj +j8J1gC1XhD5ZGzoEnw4fm7MFlsQGY3/T4CrhLK8jdqb0Wt48B3wH+Hyb8BE4 ++5n02Fuak7vzXqs3M6/X1OAh4SPZC3vEflip+ksy7yHW6u3M6/WHBvOZmyv/ +NDhVuNWtGsyX/pH+5G0zOS/5OK/IN4TMnOOXUIfzNUryC5L3UXpQe3tzzdcD +VeNuZHQVvj4+P7YPrgvOC/9r2wZzs1srb1MwBgL/gGnBs9hceC/2M7hxbZyT +DWchOEy4THziVzP7xazDznGuU83Dayq/PW+8v3OcZfTT65l1FLigXczbVcGH +w4vDo+PLgjknBjcCR3Kl3l2ZGV/C1cHZ4e+AO2gHLLwg/DbWuqw+vKH6d7J3 +9e7yzH7OpOCX4Jl+UJ0VmXHrFarzTmZOanXoKcYCxwbXtlvog93zv+OL3UPn +fKd23s3MJ6GHdo3y71W+LLOPNUXtL83MN4EHO0SfwSDofzgi9gg6F317Q3Au +4BA4f/h+7CBcD3HHTPm/8+YRLswZL34XcQ6wIeXYyUsK1q3UhYcnzgoXv77i +fd9Ee+DVvOOy+Jdta3xm+RZxC2KZxELAR9hf4sH4Q/hj+ETEUH5u6jgK+Ai/ +fWMsHJmzCObiPMJ34WNz/ieGLSPWiz3Dh9skdAL2i7gvNgy/AT8N36Fpg/dx +S+UXF6xPsQHMCfNBDBGfBn8Pv+anitfvNzBM7K1vlX9X8f5ep3yzBvOu1Qbz +NTNjLRgvXA2YsL7BPG25wXaPM4Xt+yyw0VcV80TTY4zwTPBN+Ak9oh3mbY+Y +24a854T6YFF0APYV2wpXB2cH5sRnfDh8zI7Rt58C7+HX4ONgk6fFu5s0+GzU +NZjDg8sDbzc2mPutNJgzgDsAe+MnLQ7/aJ+Kfdh9K9YNs2KMH1WsG1pV/c3F +8d0V0QcwJ3FafGf87aNDJ3N2wPudC8Y63fT+x5K7Vq1ziH/gf5G3iVgIdu7u +iLthMzdyBnBtcG4jct4ru8Teu71qPQ0PXVvxPilWvG92jz3AnoTTA7cTgzgm +ziZxhGPjLBNz4Eyxj4jbsPfYg9xt2OibEqM8Ps4s/ORbgcEmSOeMVzqk6DsA +R4Wuw2YQ6wKzo1/bxHg3qXh/Fip+j/HDw8Jzvh2YbUne8WawP/F84n3ogK4x +Fs5Xi4rPYMuK48DY+i2D7wE3YDuJt6MT0A3guCtDt4wMO8kZhyviPXwVzjf7 +/rLAxsw5viG8JjgYDAxuAHccnve5Af+B/Yghg1X4NmvOHhsQWPvAWDtwBtwB +vAHntW2ca3D3QTEuxndwyHCiB4ROeCB02IWh25AvCHn/KMd33jPaB/PAsw2N +Owt3xHhvCp1xQeihA2Jcc4qOnYPFOjczlgBT/FLjOwrolq3Dbv6p0TgLzgzf +bUr0nzH+MWz6bqozoNb2gD13e9SfH7j3wYg7wxdPij6gQ7kDgR+Ij9gp9s+B +UQe+ayPPCIeATWjXwlwt5w9+Ap4C/xDuAv+SOw6L4nxypwFOCx9110brDPyn +nRu9L/An2jR6PfEVWjV6DfFXHo62aRfOb1H0v12j+9BW+Q6N9rPwt3ZvtP7A +B+KeDjaCd+BMwJ1gxM0DF+3SaC6ia6w7/N5JMZ9bxznCz6UNdAhzxL0nOEJs +PRzgiTGH+OndQg+vi5gn/POdMZ+sF3wf/gFnDU6ge+j8IaGv0dVwAj3jLBBX +xw5uuBcQ9mKnRuvUybHPwdn3RowbPgxczTjxja6IMwK3d0/oNzDvEbEfiGNj +l7HPt0Y5WLccdmfHRutuvte60XFm7OZbwfndF98Fd7DfVuXMVR8W/efOBXge +XH9xrecIfcg5GxRzdWGt5/3rOPsDYy3g/Zlf+NXhtS5HJ3Bu+secf9Vovr1D +1TwBsVi4AnAcMcidQgcMiDUFh4GjWQvW8JxYR3wDfAR4dXhH+Ef8qXer5vHL +m9rneDz8CGzikFivy2ot/xR4Y3Cs6aW1lrGzcFtwXOgu4ivod+6tgR/PDrlD +9Ie7KMdH+UlRh/rYArA/8Qz8LmJwSwJ7jCsYK8KnwDXjp2Ij2G8dIz6CDkQ/ +4R8RNxoX3zpKY/xA73epWpcjs5/gyToVfK5YwzUF6w5w8fD4FrYH/Dw+6oI9 +qL+oYH8PnX1C1e8eX/UYx8W4wPLEJ+CDJhTsIyBPLBhjM0biT9hLfGQwL3YU +G0osChk/GkxNrGKfnO3AqoJtOfrz0IglHV51+WHEiwv2uaiPb0H7++Ycf2Cf +wn8Rv32i4DbwIbCv2Na99M9rKt+z6nMNfudsc1YmxtjRt+BudC5rcUjEpIjF +4eOOUp32VdsHeHrWkzEzXrjrMQVzIthxuC50EGcTjM/5BLN3jL0Hvjs0ZPyv +HYNnA/MeEvsQzN0mxgVntG3owOlRhzMIXj445JnRPu+Cv1uHjeaeGhwU32Dd +WDPWC84ZvhneCR+gVWCAF1vYV+cZ68O8M+fsHfYr+4dzBn/BWQNLwnuCP8G5 +8Kf4j2BQOFl8Q/QZfC7YEn8Gfw49hm+Gv4vNgg9jHplD5vK8kPFz4Yj3jTkb +GjqKc7ko9uroWpeDvYlxsu74+PjC8Fn4w+ALeGRwLDYdfwC7Dk7A5wEfME/s +E/g4OAr4NXgK9jUxM/xH9jsxafxi9iMxY3gA/ED8WvQwuAleGF+Ms0UMCWzP +WefuI74hvjL3tPCXT0w1b4l16vi4D8C9gC91Tr8uaw1VZ7HkN8rW1Qcp7yH/ +sF3Rtv/vwQODjYitNpfcS+29XnY8Df4APp5Y0pbB8bA32NfwJ+ztx9TeBZnX +e0yt7eWvOWNiYrRN846HgP9ahy28vNY6ap381u+L5hY4u5NrfX4515xpcPq0 +WtucP+Zt6zoEj8RepS/El8G5nL0NvlhT60HGNLboGAM2ijsRcI7wWdjb+bEf +NlUfKom53Cs1jpMy79mrVPZZ2WPAF8APqFH5ZD0/IfOee051JqXGE1Mkf1J2 +LHpWrfF2K6X39f2Py353Chxa5nMwXPUvT23rOJ/wWRXlH6r+p2XPG7gbbMG3 +weng9adzjtEVI04HN/NG3nOIP8Ic8C78BGuBvXtPbZ5S8rpsE3xbEvE94nzw +5MQ60InojrXhi+GToU+SmH/mm3gDcw62uKrWvBm2HXsPHvpM8zkn87nd4KfW +2iaCt7n3AB4Yo75cmxnTfKmxfqL+tZT8ud6dm/kMoNfG1RpTcf98ZtH9f1f5 ++2W3OVrtzM6siz/Vu7Myn1Xm+4Oi55y5Y02QN9jqWuOwz1VnbdF7nvn+qOh5 +G6c2r8vMj4yVPC+z7/GF2p+fWWddrLVbXfZ4doFrUb0+RcfQ8A3Yo1+Ez47v +zr1OMBl7+uvgB+AJuBsIrsL+okPhIjmzZ6r9N8vG9R+o7eeV/lzjOpcHVzlD +ZXl9+4ii7fzUWtt67gxyt/mh4Co4B4wR7M59C+YZ3c3dglzecZzdanxvhPVs +H2dqg89Za1tG23yDvsErwN3ALeDH7xDxX2Ldu9b47uBl4dPcGXiRMwynfVLq +fc+epw38JPrzPHxs2fZ9tJ5/VPbdlnGS15Z9n6W95v+bkvs6Q+PuntmWcna/ +Lfn8DpX8c9mx/XlFc5fwrsQHsAfwnOyjGVH+UYO5S+6to+uvjzp761vflRwf +vF/tnVzynQ/uouKTgIsG6VtLy45Jvqpny8rGVw0q/77kmPslkq9IfTZGqeyq +krHTG6q/vGwMPEZ1pqXGla9Lnp7aN2Bf94i9zTngPLBe3J3H9hNj277BXCp3 +rolJwpfBWbRNcKxsj4nHwm3hAxPfxm/HZp+kvtxX9n0QYpvwWXAZl+qb/TLb +vcV6vk1i/xaOAB1EzOzOoueFOYHnZu1Z96dV97k6Y0N40GeDC22n8nzqeEDP +Ov+NfLDkn0rGjqfXud/0+cMG81P8duT94Jj4TckHDeYr+R0J+rtX+NHosafy +vqvQO3T+bznvld4hH6D+dtW39tDfLyu9WzYOnxpYAKz+hL4/OjUef0byhNT+ +4QLJP5QdL+Ue1qjUmBrdcHLoh12Vrytb53OPaUxqn2aJvrWqbL33nr7fJLHf +8YPKfyzbL3lT5X+osx4fq/eeSuxnfq0635ete6eo/KXEOpZ+PZu4b9if5xPb +oB+Cb4R3XKF315SNbW5S31aWfEcM3XZK6Df22huJ99tVkl9NrBsvUv5e2XfQ +TuF+V9F7rwa9V7LNAXeMT409rlZ7XeMOUX+Vv1P2nYtpqvuL5EP1/nQ97xZ3 +lH7TWA9MrHOwfRPCT+mnsrfLvn/B/sBWszYv6v0lZfsFy9TmcyXrmicTzxdz +db7kFWXfj9tC7a9SnRexf3r+Z/39N9XfvM5joP+/BGcLd5tvMEcNVz1X9d9J +bHeaBw8MH4y96hk2qzb4T3jQfOJ1ZU3fUj9Xlu23Lo/zgr3+WN+dmRkLrpV8 +TWYsODPuIGDXKir/OTGu3Ezywszr9WTJ64f8vp6/Uef4JdzY32Lf/kRcoOT9 +P011vq4zBr1S8v/qjGV/kfxi6t/S3Kf888TxUGKe/A6HuOerqntvZn0JFjs0 +bAe/O8H/hJ+qVZ3/ZNanV6iN/9YZZ2MrDgmMxG814BnhPsB6HQOT8JsVOE38 +1Vf03t2Z47j1kr9N7NMzf28XYw4lv1m0nmypOmMz+w0zuGdYZyyOPltdaz7w +t6rlX6s+c+8Ufe64RPy+ytervEbyB5Lzyt8D69Y5VjoLO1JnTF9V/ljq+5I8 +fzBzHe4hPp5a3zWq/JHUeoc5uCfzPIC1ny0ab2MTXinaLsA3zKv1nuT+4+tF +cx3YveeKtn2vSX66aB+E/f5C0XseXfVS0foK7LO0aPzzoeTlRXMR7PGXUu+J +e5R/ktjmXpc4PoSPmkscfwW/z00cT8LPJIb2fMTR2lXNscC18Nsd4s7En29M +HMfCBybe9ULEvGYnjkcSi+QuxnNxH2OivvNIZpt6p/qzJjFuIba2OOJrxMGe +jljYZNV/KnMMCe4HjIBOm6TyJzLHYNjXj2be26z/45n3wOWq81jm+D9r+GTm +dQQHjQ6e82WN63j2dL1jrS9GvBW/n3L2NjwTOht9AoeEbkPH/qq+v5za54Ef +RcewJ4kdEHffGIvAZ2LtiurDfZn9yNck35/5XgL+JX4m3D28CDYEW1OnOg9k +9h3heNG77H84IfAF656ozqLMPig64KHMeoDz/XDmM06MGL3LnoFDgnsirgDn +AbdCHALeDlzJ/iTOiK5l78GvwLPAIcNLgaHYt/htnB38P+zJyqJtyvLEY2Nc +2MzHEo9lvNbihsxxJrDSs7XmY1dXLa+qep1vi7VeFpzbu7HvOoVfg465PfRM +qaXvypwbHPvTtebZV1Ytr1B+m/rwQWI7so47KqnvmnVQH59NjXd/5B6x5Pnw +ScofTDwne6nOC6nvRo1U/nDieftK5Tdm5iMmaFwLMserWNs7Yn2/VJ3rM/MX ++NxfFI2T8yo/P7Ovjy+IT0hcZlzRfin3fD9QnSsyc5cfSp6a2bc/lTvgmX1v +uEawITb64pJ9yA33JUv2RfFDn1Sfv0+sX95XO5Myc6OM9YfE4/2Jex2p786s +UZ1pmTmIS0u239hu/DwwDngDzv2aWtuIT1RnfZ1tzUfKr8rMR8CdwKHgT8NN +gdN/CU4J/I5ewgeFFwDnXFKyj41/PbJkTAAeYF/fFXubO+NfFe2D7KlvPZfa +V3hc9S/KzEPVqPzCzJwKXD2+zvYRdyFW0TL6T9k2ece12sVv2f6r9j8r2tf+ +LLGuRE++gG7LzKM3wWZm5m9Gqs4HZfuxzdGjmXmp59GdmWNQP0teWrJPhB17 +NLUtw5/G1uBzv5vYvh4XeunxWuumd6qWl1SNnS/JjJ+fUHsjMnOFTbF1mTmh +ZnXG6ODzy0r2hfCD0H+3hA58Rf19smibfq76cmdinQOW/F/R63u2yr8pen4u +knxf4rOPrr019O35Kr8nsX4DmzyfGp+gq+4MfdU0sS3HjheUT8zM4aFzOU+0 +/7LKJ2SOab8keVzmePLouNNE3WVF2zP2zIuqMyZzLHH70N+004J7oJl5MmLT +6A10wpeJMQ17dSE4IvXexf7cHDZoE707PjPXyO8O4THh65jXvjG3rO3Zsb7c +neAOKvzJ+pCJhRG/uyFieNgD7hLBg10f5cjcLZ0VPibvLYh2eId63DHijs3C +uOM6K/gN6v9H/X+kZJ70fvZSyfwpfDL3LcHM1xTtt3P3crzqzEh9DqdFeTmw +IRiRfY4PdE3UJ/7TJu5mDEvN92G3FkY/6c+C6BscEv4V/eZu1MwYF5j1hhjL +7LjfxHi4L7RvjI12iHW3jTskfRLrOPTbvHiH+rQzJ+aN/s0Jnw6foWMxfu9V +9D0q+jMjZOZqiPp/WmL8OiHq43+tSvy7FLjEayQvTI1naXt+fIu6hxR//z0Z +cu+ceQ54bXT4osT8Jtwm702Ld/mtzIjUNvWBxOeHs/NQYruCTZku+YuyedXV +cR+C/yPh1sS+H/pwDvi8bO7vstScAvb+ktR+FLb8N/xO9eEwMHHR55azQMyC +eAW8zjaa189UZ5nKv1Odc1Lzujcnxv1g/o+L5trQjWOK3qNwhjP1/KuyuaGt +1c6n3E8C46TmocAK/E7o0tR44tHENhL7yG+DhqbGNHcn1jXomeuCY2G9Xkns +W26IfSbm+OD3pseexEe/VuW3puaZHkms69Hz/AbovNQY697E+ghdhG4+K/Tz +p6xb6t80bam215Ycf+M3TBemxjSPJ9an6FJ8v1Gx9/6o+mtK9ruxJ2eGTRkd +3BHzMzf2HD7a50Xbj0qcxflxpuar/TtS82cPq70hmWMR+ENwx/hESxL7lviV +3CskLkN8htgBeoj7vGAE1hmc8Jbq9ynZtsL9rA++jjPNe/SB2Owuca9pfdG/ +yyI+0Dm1f4Jv8lvRv90iLvJaYv2L7kXHnJtZz/RLrTfRmb9qfLNS9+GM1OeH +s/NyYr2MTp4oeWZqu/5CYtuJ3URXnZdZX72ZWO+j889KPUfMz1Ll16XBK4JN +UvuOpybGLuAWeM1rSuY2D407HPihZyTGTOAl7s7sHne3rlb5DenvviZl+Jv8 +gGlY5vjJ8jpzc/ByixPbb2w391ZaxX22ySq/NjXflm7q+0f8XvnM1HuU/dlX +8g2JOc0Vie/onxp7al7sqxdL5ivZ258oH5Q5lvNxYl8IP2hUYk4ZPhk/6x9F ++1oflbwv2ZOnpu4T/QED89szcPCIxDw7HPvpqcfP2C9MzIPDgQ9JzDvAOcDx +8XswYgZzo5/oT7hZ7AB4gDHdnXpc14Z+5vwOT83L4CeMTYx3wbofJcbc4G1w +bp/AuuclHjPjPS31GrO+9Bu+sK6lcfRpgaV7pcZ5YDww7+mBe9tHjAccODAx +bwJngi6DC+eeBhzJk8FrnZMY14Jp8T9ODR+kb2LMCl5dobxZYlvKPYvWceew +G/xr4thAz9T7m73NPl2WeK92Tc3nwuX2SG13sbndU3O4YPS7Ep9/zv6ExP4D +vgO4c01w3fB8H4XOWVN0HIK9jR+FP8H9W+5IcldSTWyIBzNmxksbv0SMm/5e +mbrP8LgnlrzO2F8wPvuwW8m8J5wn8cgbo/2eJccCiQPi/9bH/SPikPjuxCKJ +cW7AgOAf1V9X8p2IneKeAXseTmRB1MEXBb9z3wl8c0u0A+8B5wE/Rqz05qhz +r75/SNl7Gt1GTAL9Nlnzs1XqfYL+O6ZsHdgr/Ca43PmBGdC9U1X/yLLvBxIT +xqcnLoxt6R32hffGxbvE7++KOtwt4e4XPAxxyP6pdT57tS5++3kl+rLs+5Hc +W2Vt+M3cuyGzRsS818YYsJ1gf36bj41gr4EZTtNYOpXdB+w0OJq7ZEujD9w9 +I95PnJsY91Zq+MdS3GdXHw4r+/dk+GjE78C6YO2BgbfBtgMC34KRzwmcDGfW +P3gz+Eh4SX4n0x0etWy9wG8f4NCJAz5VtP+A70C/6B+29aWS55p55n4IMRD6 +0RG+tmT9dGDZ68fc9Yr5Z41e0PNbEv8u4OTU42Ess1PPL3PLXDKn/BYRTPdq +2bjuijp/g/bBbH0C4z0VfaaflYifgdnqgndkj9ZGnGTdxthw3M2AK7w84mnY +Ujho7Cmc9Nap8TNjfyb2RjViztRb3ui7DrvKPmydOEay4Xe2wWvyjRcT8/Vw +9Yc1+v9v2XlT37ch1rcxjk6O78lvzrivtm3cN6W/4IRVDb7jy/+l9EzR/CD8 +0gbcGniVu97PZN43R2eOXYHPr08dwyZ+zdwPSD3/kxJzAeiId0rmmtGfc7Cf +iXmJ90vmTeBMrk4dk8Ofx5b2DnsKRhoTvsDU1H7yBh85MV8AV3BN6hgevMDy +knlV5vSW1NgX3Ms4JsSa/id1rAUOYkFqDA1+Rmd/XPJZujk1ZgWvflgyd4Of +eVfq35kTnx4V+BYbd3vq36UTW+0Y32L+VpSMF8GKxMYPLxvjDUwdR4T/Gpc6 +rgDfNy91jJ9Y8rGBI9GxrCvre6jW+Qe105j4fgl3VW6Ps3xM5vPP2Z+YOr4C +x5fLHKtAP7Kf2FcrGq1H0CfoTNYD/UW8a6s6c5H4nWC1vcMv5u4RcTbuucE1 +jY/53HD3LcpXFR3L2aBjU8ewiV+z5keU/Z3/B82QRn0= + "]], PolygonBox[CompressedData[" +1:eJwtmXecVdW1x8+dwsDMvedemFswJhKNEWPEgmBijIm+9xKNUVRAekcEUUF6 +EwSpw1CHKoiFYgWlCViRLlU6CAy9YwWkquT7y+/9cT5n/fYqu6+99trXtmhf +s11WEAQ7I0GQw/9CPAguRYNgTH4QLOGrnwmCI/wXZgfB0HQQPFkhCLaGQVCX +sinotAa/kgiCT8sGwVTwicIgaJQbBJ3KBMG4VBCkKgZBQ+x9jP4+bP0Dfmfq +mYHMQfg/JIMAs8EZ8GnogLJ7+f0EjkAXot8A/dno70H/M/RvhreZ+v8MLovO +BRpen7Kj8HbStqm0Z1hBELSkPUspuw/eMeQbIf9/4E7Yn07ZAex/hHxf5Lsg +Xw/5r7FHV4Lv4X8DXbd8ELwKfyj8FvBHU3Yb/zHwS6Dfpf9fYaM+9mdQHsfm +nfxz6X8COp+vEfaywAXQP1J/G7WHNuegvxHdCdgfiP1m6B2AXxP+YOQXIn8c +3BD8HHgUeCb17UGnAfW9ifxB+LXhN4T/LPzL2KxKfRcp+wl6JbYvM35jkZ9e +4DHSWLVFfhDyh8F1wU+AnwfvxvYMdEYg+wT2z2HjeuydQ+Y89BHk60G3Rr4f +8tfw3a1+gytB5/LVQP4KMmWgDyFfB7o5/G7gq/n+gnwM/GvoWszJQdo2n/kd +zEJIUfZn+OXgp6Er8P0JnAcuhP4n9rpg/w1sHgJX5LsLfgH8q6DrYu8w9hZg +7zT2HkC+G/JvIX8E/rV8f0W+PPLXQa9jPN+hz0PQmUf5J8jfhOwJcDNs3Q/u +iv6blB1G/gxj2Z7xmcT4XCt5ZK6GvpP53E99LbG3Fnu10R8LP58xuwivgeYc +WwvQ/RZ+24htzEJ+H7gh8m+rXaz3pZT/DToB/Tm8Qej0oKwBZcvBxeDe4Ebg +4di/mf8Q7I+Avpv2bMHWaPr/GO1phP0P0BlKWW/k9kK/hf4o9FuBl9Cme3M9 +ZnXQXQ9/LPz+8JvC3wKeBB4Mbg7OBh/ER9yK0ygEf47+37WX0H8U/UPwZyI/ +BvnW8N+j/oOUNYL/LrgF+AtwLbURfBxbAXgAeDV4JH24hf8IbI6CPgDvXeyV +YO9JyueDe4I7gOuAr8SCoBQbW6Ef4VsH7xD4Ltr3JXgF9R1GZyT2Z4JXQY9A +5gX0G4ObwV+iMvhF4C/g5YDrgTeAi2hDZf49aM9Q6P+lvx1p8jTwftbDOMqq +wX8dPB56IfzfQ/+N715wMd9N8PuBh0F3wP5h2nc37fsd5Y9lPHbzmK8fmK9W +tGcT9dehbBL8J8AbwI+DJ4AXIX8Vbb+BNXUZ+Qv4p87Y7EVZQ/gLke0N7gSu +C15Me6pQ97/yGB/kx8g/UP4SZWOhm2L/M3SGY38Q5Z9C90e/G/r1wT9hfwLt +fYh1/zBfE+Q/RmYY8v3hR7FxKcc+Sr6qMfxFWqPw+8JfQHsrYqsQmVPUPx+c +AVcAnwQvQOf6XMt8AK85+ivQr4n+CPQbgueCi8A9wUeh36d945BvA/4A/d/l +2uY89OeDrwOnwXPAJ5Cfi/wE8FPIrwGPBvcDNwHPAXcDtwc/Dl5JfccoG0V9 +72m9gE9KBzxb9dPftsz/Ke1n6DupYxO8k/SnJ3VvBjfB1jXgTdBTk/Y98pGv +Q6/B3nTtaXTep2wedZ8K3baJ6P3IeH/POF8dcZtnwT8Sei+NBX8H71nKxhdY +5gzy31J2VcRjshr7ryM/EPuzKJuN7PHQYyWd6bTh7Vz7wGnQryXt2+STX4V+ +OemzWT54MvQ32D+K/TIR+4zx8qd5PpMr4J8mJr0XdOZNgJ5D/ROprx/1v0XZ +N8g9k3Db1cYfsPc1ZcmIfcQrSfty+fAp0JOSPpvl81/S+coamZrnNaK18g54 +R7bLZkI/LB8PvYE1eg/teQg8KttlNaD3Uldz6h9CXT8xb5Oht4U+y1W2lfZ8 +gcz+wHtGPlO+8yH0a0H3Qf7D0Hups9YQ/Xsa3In+9aHsDfiloX3pSPg109bV +ntPek8+X73+W86YYf/EW/FfzvGa1dt8Eb8922dvQM/hezvMa1lqeDt6W7bI3 +oLsm7Wu0Bv8H/hHa3jrhunNow+3IHMW33IH8HdBV06Y1Z5q7Y8i3QX50gedU +Z67O3p7wi9KO8RTr9QYPU/9p8x9Yy0/S/r7Q6+l/JXzutoh9djfwL9jsFfEe +7YTtpszF7ZQVEEjNg/8r5NdG7FNfSNnWeWwOpz0Z9she5L6lTyfp2yl0k8h/ +iPxu+V30r0Q91jrDStCvjm5HbIyFHgy/DPIlEZ+5/Sm7Gf5T8AdCP8L8tqBN +RfT3Z8ZsOGVV4beHPxJ6RMr0WcqG0p6XkZ0V2pdKZ0zKde2Enw2/iPryqG9c +xD65GFwWPDFin52mP3vozz062+hPL/gB/H4R+8Se2GuJvXPYG4a972jfcfpX +NuIzbg31T5EPzvcYnIL3NGX3ZHnPbIB+BX67fM9BKXO0TusJe7uhi9OeO53p +OtvfRn5/6LNTcz6X9kwGv4j+O4rXsf8UMlWz3IYhaa8Fnek6219APov2D474 +jBgIzgWPjPgM70F/bsxxn3pB94YfgT8g4jOiLbgd9XXO9xh0QaYZsj+iU4z9 +/vBzkB8esc/vDL9yjmW6QveDnw1/aMRn9EXGazv2ptCXyoo5wB+yZoqjjtFX +86+T8F49xNBXZz5qMR/dWdPVoJdhb3TcsYjGuAT8YtyxUUfwc+B+ijHyvaZ2 +gEvijh005hvB8Zh9q2KKIupaFjoWe546j9Ce3bThUuCYfjPyiZh9vc6Uichv +Dh1LDYK/AtnalD0HXYpOG+TbhG6L9tQu7G1A5kTgGPAyeCP468Bn/jPId0a+ +a77n6FlwN51p+R6z7tieF/psUx2b0W2YcFu/w8YU5IfEfdb2QOdl8GDwsIht +fIl8feR7FrjOT+CHMa8dxXTHaE9p1L5VMeJX8MfEfXbqDHodPDTuWLgXeDu4 +Qsyxdgl4F7pNsT8A3QvYGAf9Zei7kMpGaT7iPvs7aP6hK4W+my7nO0T9X0Wt +q5h1K/LlsT8n4jO7A3hA6Lq1Z3cqhqGOF5E9h04p/HHYnCtfKP+l9iqGgp5M +2R7kmyU8V5rTj+DHYj7bFLN31Hgh/3y+fcAB2rMjatuKMUrQXRc6lladu5Ef +G3csoRhgMPyloWN7jXE7+L3A3fO9J0qxtwV7pwPH/AOQXxw6Nusu+aRjOd0x +79Z5gv7wuO/mfbDRJum7qu5k1eCvxVZdbHTVXZCylknH2rpzV4H/NPodsN8l +33t4J/Wvi1pWMWEvdBeEjr076ryE3yruu39t9tl6ZOsl3Dat2Qflf+HfQXkM +/mLsj4z77qoY4VPwiLjvzn3Bq5B7PGHbOpP7QX8S+m6uNk9DvjjuWFhjPps9 +HcduD/b3+9Az4A+LO3bWHC4Bj4r7biWft5n2rIx6r+kOsQy6FnUsh7+dsonI +D4w7FtYYbER+edQ8xYjboRsj3xf6LGVjke8fd6yrmGC81lvcsbF83mJkW4Ve +uwvkE8ErQ989+mBjJHh16FhUNrdiv1HCPM15e+z1Cb035XMngQfFfVfRnu8C +7gF/RcRr5nN0N0W9t1dS9hn4Eut1R/D/faQ/a6L2jcp57MVWacx3rzV8y5G/ +GDpXoDtVDmtiF/64Ebg29D70t0Xdd92hXqX+orjvcvKZA1I+e0+jMwT5IeBb +oZ+hbCh0Ucr0GcqKCn3n0d1nP7qPMH8vYetn6ngNezWi9vW/lDctn/8j/H1R +n+V/5cyapPsjbViH/KOU18jYltqstlfN+CzWGXCH7lrUtynPOSrlqtbS37NR +3+V1J/se/ohsx/R/Qr627rTQe7BXBvlb0s51KCdQBboJ/OPwL8OfAP8sZZ9k +u6wpvAZ8R6H3wi8H/wz8j7Jd1jDjHIVyFarjcfAPtKVdwneB39CmtfTtzdC+ +ST7ttrRzF8pp3Aq9Htkyoe++ihG+omxNnnNCyg3dlHZuRDm3P0AvYrzqVPDY +FVHXjWnnWpQTq5z2WVpXMV3gMzU75Vyccl5Z0Jfgt9B6oj8rdGdXfgmcijiG +UK7pPDIf5zvndDbp3J7uwGegb0g7l6M79O+hy6acK9KdNA96r/qU5xyfcn2K +aRTbqGxf2jkW5Vo0hwehv0s6V6c7+reyn3Is2V32obeknIvrAN4MHUs5F6c7 +exT6YtK5LeVQLiiXknZuSjmmP0KfY2yXJry+pjInj6Z9l9YdQ3cNrWGt5TOK +XTKOaRTbKCf0MbgSNmO5viMXQF/DF811Tqgc9G/4CnKdw8yDrlHo3GAtyu5P +OkZUrKgcWc2MY2bFzsrJ1st4zWntKcea5P7zW9q6M+69XF5nLvxTOc4J/QX5 +rXzNlLtSGfRdGedStea19reDW8AfAt4GvTHjvX818l9CN844l6o1rLWsO6/u +vspJLMx4z2vvn9bZmHFMrdj6LLgreG7Gd/PylJ1Afwnt3U17q2TZh7UF74nb +d+VHnItelvDYKyetnIFyBy2gb8HWQ4WmNcYaa9mU7eaUVYF/O99S6GrMWTV4 +1dOmdUfSXenfhZbVnGhuZmUcKy7T/T/jmF+x/wrWxCPKHWfcN93JdDfrkvHc +6w6nu9wX7J1vQsc2iimaZ5xLlE+QbziPLzsd9d5+iT79knSuVjmvn6G/RveD +hHnKEcpnyHdozpro7p3xWOoOrLvw+dA+W756WoF9lHyVchD1oStmnEvUHesq +6MoZ5y50R7kR+l+F3iuLwYXgmezl9XGf5WPKUVfcZaJXRSwjWeUQrmf/PJZ0 +bkw5/IrY6gN+gPqXMl7HlPtGvxlfVfp8m2KvpHOVylHfoFxy0rkx5ZgrgR8s +tK72hPZGc3QfKO/YQTHEv6Hn8K/GV50vTf8fjNkXyedor06O+yzQnv2Q9v6q +wDl15daVM1PuTGUfyXfTxkyOfeYu+XN0/1ned1fdYVvGHcOoftW5Gvq3odeH ++lSdPVcScwyiWKSm4iV0bsmyD70f/jUJ39H2YL8O/HzkX4n4zWQB66UAPD3i +N4Th4HIxx57/fWNBtyXfY2V9Jralvdcpn8wYPQO9CPko8m9E/CbQWfFf6NhP +dTydsqx8gHzBa9jaEfptpJgxqASuGPPcqo+zFQ+HjsVk8wB9bJWwbAA+Sd8K +Y45l9Ga0HxwJnQvWeGvPaGyupewf9P0E/T2IjayI32SmYWtX6LeF4eD3db8C +v5DvMTiF/OGocxl6gzgE/WTCsrJxX9K5Vb2h6C1FucmblZOJOkepNya9Na1C +/gB0JOHckPJBOrNOpLyXNeea+/HwJsad29Sd5wz0LzH7Ts1hu5TfVjTmGvtj +8C+E3mvac4NTfktRzkG5h1W6b0c9VsqRD0s596MYSLGQfKh86QHtfegNtP3d +0LlqvUFEGLNDBX5j0VvLzxnL6g1Fbyny2fLdkslC9oreTwr8hqO3nKO07yLt +vxd7WyLOQSoXKZkA+fmKh0PntjXmNRjvPchvjniNjU75rUk5EuVKxqf8lqec +i3IvL6b89qOckHJDyukqt9sA+xuo6+FC0/K58r06Q3SWLKFsJ/SOjGm9seit +ZVfGsbvePHZnvPcax+0rtAf3ZzyXesPTW57eAPUWuEKxK/R7OjsqOBegNaC9 +1pr+5Od6z3WBv6C8fYX2aEzvFVGfcS2he6f89qUchnIZ3VN+q1IOQrmI0ozr +Uk5fuf1FKb/NycfJ13VMOKZSLKUxPwc9jfo7lPOYil4bd19UFiB/Je67q9p4 +QG8Xcc+VcmT/Ac1TSoU= + "]]}]}, + {RGBColor[0.604478465, 0.62193021, 0.6187370974999999], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmXm0V1UVx3+88Xff4w1wf/fehytQJgcQEjMsTQtRUDEcGR6DyJSiAoo4 +MCoa8MCxEmrVCmkt0LLBMhEqYnIosxVYlmlmaqng0CpLUknq++G7We+P+87+ +nbvPueecvc93f/d+vafNvWhOValUeld/qtUe7FIqjZb8kdpLklKpW7lUGq/f +e+pLpd16/qf+QTWlUqv6V0m/f2Op9LT679Tg1/T8WPIu6f8st3xhWioNUZtL +//aSx3WLsS3qf7y2VNpZ5W/wbpzaazT/g+rvkM6cxN8+SX031XgNn1D7eF2p +9Jietcypvl/zW2N7SP8XkvtrLTdmpdIR0v2r1jBe/YXmnySdBeqbUue9XC+5 +XfJ2yRO1lyOks0Fz9pX+KM17t+Y5pWup9He9O1e/Z2vOXGNe1ZyJdJ7U2LTa +c7fFHi9jHZKnqD1G+7hB4x6Szmekv0Dyw5IXsp966y6WvEjyNMkH9O5qyevV +Hq2xMyWvk3x97v75aj/U7ysk36f2mtzy3NxzM2ed5lmr9R2v9kT1r8i9huVq +Z+ee8+rcdugetuBcsNHEaIvYS0Vtpmd1yWfTI85ngvRSye3RVkLnee1lg+Z/ +Xmt7Qc/9knupHZtYh3En1HgM+ovrvfcm9Z+f2p7ValfW2L6Z2g/rbGPse0Sh +R78HyQ5D1defd5q/S269ktp3ypbRHyG5KnzyOI0p1H+s2n519j98j/fVeo7G +jonf0d+z2vrNao/XmB6SB2bW6xHfZT979Y335T/T1T6nZ6X6+4W8pMrf3htn +dWK97wNni717qn+q2pc03381brmeXo32K/b5yXq3rKFSeG0X6HyuS8IeOp9d +Zd8H/PIc7f9MjTlb7UD5zwjJqzV2sdbdU+//prHL1F4l/Q+05hXqH6jfr6v/ +dsmDJb8huUPttXG/7lH/EP3eq/5FaqfV2cc2q79Vv19R/21q56j/gOZcInlm +nW26TDpH6fdr0rlZ7RXq/08X3/sP6nzGx9V6zeydO8c94z6en/v+bdfYY6Vz +hvpvRSf3vs7N7a+c50C1B8s+X/we++AfrWFDzpEzPCn32Q/RWY7MPeeI3Gt+ +puy1tutsv6X+xdIfJ3kdPip5qt73b7BNd+Inkneo7dtg+UiN3abffST/PPHT +W3Kt9N8KW4GrY7SXfZLb9EyMOwUOgAnof6ymc96ugQ99Y37e9wmdxxKvZ2iV +8QxcA++uzoxpV6qtatM7+dPvtN8bMuvNj/dgHz5TrXkGqN2vtd2S2XZL1R4s +jIm71T6tNfYq24cWZfaBBeE7jAWrWVfv2PsLuX1yb+az5sw/Dw6D8WXHi58V +xuDb1b9Z8jbJCyW/oXEHq+23j9Q7roCB7Xr3sOapS32/pjb6rl2q3zvUn6jt +XfZ+seOmwjZ8VP0/LmzDTZL3NDhusYa/5I5ff+LeqO9EPcsT49LpibFpq/R/ +oecunfPABuuhM1PygAZj1HD1ndXo3xfn9uML1Y4EVxrtx+gPD52TC5/FP6Qz +OvTOy+1r36z33SzJdpOl/0xh3+wd/kmsm9zgOMA3z4h1bGz0WofpeVY6lzY4 +nhBP5+pp0fNTzbVK8xwgLiTeD3sh3qLHfeb8L2uwDQbEfPCCGWrHlj3PaYnP +Z5N0Jpf9G/mWGq8fXLxV8vp6xxbuEzL4MEa635C8sNrYtbNsrD89zp15wMJb +JG+ptg2YH7xcqjm/Xm++wBzI4MndufXvyu2b4BS++pvCcfkt9Q8qHO/25T4b +4umBwFy+N5N71OB5+A3W8B58xsYD4hy4c0cHDnDv+wYOcG/AEWwEfj/ZYG6A +H3OWl1fZbsRrbDe/xj7B3E8l7oMzPJ54fu43tuHcOXNiBOtjbaPA42rj3uDC +MfpN7Wu/3u/FhtW229bwW/gHfeDluuBqxCN+vy75Q+1rpb61ucF+QbzaF3EN +v8P/wJ83o5+YRnzrF/Hu/tz22JD7jOEW2Jd99I+9PJSbGxwvvz5T74eXHWdv +aCqVPtfsM9teOP4Nls7J4l3ndzVenKbfi6X3+dy6Na3Wn9hN59/sO71fY1/Q +2PcKr5E4zfrrE/NBuOWKruZzxJhhGlfbas5C/CdmMOZezbm71fdpWJwfdj9P +3z/QYiyY3uTxjD30VFtveK3XAPeBQ66Ib3FnsS+chN/wSew/rey4cnKVzwn5 +EJ4TE8rGtScbrYfOM4nlL0jel5oXv6IzmaXvnl1rWxKPucc/0TkMSzwX+sw9 +PebpKBsH0Hsu+vFn2hmhg52w1w80/2qdydmtxj7Odm/4AHwcXg6Ow7veLpvv +EdO5V8Qv/HFWrA386AgMWRUyuP8enEZ9wyqOjVfW2r85V86UnGRNV59nH+2p +u9ayqMnYyrh5epZI91n1ndtsPK2Wzqgm30PuzJa447sSx++jysYuOBjYkgWP +JU58J7D4AbVXau8bmnw/XtKZPq5vvhi4Ak8mxnDGR8U59+suTtHkuwQOHwgs +2Z6YH/C9Mxo6/WtC2XOyfmI9a+Hc4DyMq428YH1gET6wJ7E9O7S2zU3G8e/l +xtkH1a5R/84mf4czWxN+v0bj7tXTXvaZXatnRpV9Cj/7SbXxZmhX22qsznJo +q+MiXA0OBU+otNlHviq7dW8z51obOVFtYs5akxj//tvFeVk5MV+fpbW1NRub +2iJfg9eu0nrPaXY8Jm+Aw+NL3MnWuMtPJMbHvlrbSK1rarNjKv6BLvzqa8Gt +8B9wpmesGb/o02rfgHsWwT8X6rs9W80J+H7vVq8BDAKLdsjWu1KfzcuSd6aO +UbfrnHekzuc6cvsivkmszxPnEuAbfX2jvy36wSP23RYyfW2Re/SsmE+dm1qn +R5wb59cj9PGZUxLbjryP3JLc79TEMmuCW54a8oDgedgCGyJzJvBleDMcmr6a +0Dmy4vzsvNQ4m4RNe1WcL45KO78Hd8WXWM+S4PDsF5wD4/M4B3yOb+Er3EXy +E7CO2A8HIA6Si70Z2IL93wk8IZ4/HfwTjIFPY+t5ieUpYf+3ox+MejNiAH3M +A/b+KvHvx6IO8MuyOfPrkW8TB/Eb8nZiKzk295A7CJ/dVe5cLzL8GR69M2Ry +sl8G14drgiXflm88kjoebszNo9kLHH59YCX3fWvqWPqcfGxz6rP8c2H+CsZ8 +N/fdwkbYsH/4GXEN29RGP7nVWRFbac8MeXjI++Me9QvMp+U+/abkms2IOH/w +qlesEx6KDP8GP3sHH+D7zDsuajjDY364eb+Yk/wN378odw5JLtlVfjRSzx16 +Pzo13p8TmE9thbN8Pg/OG3GQvJT8tKHifBKe1aXN76eEDrUe7PlR4VwXf/lf +4fyWXKVcMUYz5hDfa/Q3GMvZnBV40SviAvvdljpXeAnuUbFdsE9NYF0a97E9 +fJv6WF3YhTsL/2gNDKP/MCcpx10+fLcPv6+PsdNTn19T1NCYH5+EE8F34EXk +jtxzajLEsktjzcTVsRFbeT8pdBgzPvp7RvxDn3uMHneZWDQh9sIc40Kf2EE/ +mAMfnxxxk7PCP3oevk9xp8ijqbvB+8mjqQGRGxBHV8S5zY38EcyhrgfP4v4S +P1d1cwzd1eR4Rix7tMkxj3i3NXd++PPc9QfyDWpL2/R7EzWE3PsBG7i/5KW3 +RgwFI08NzGQPUyPmFs2OT8SmTfrW2m7OscAqeDx4Bc86OvgMePJUYBA1qyz2 +ABccHbxxZdTmLpYf/jO3LS6U/G5ue42TPKveOAPe/KVwLM7anEOCp6eqb3Xu +/Khd8r9y88PJhXOP5cFtXgx+kraZB8AHbixcR52dmK/NrjfmgD0bgrdfJ51l +9d4n2PxA8J/r1b878Z1h/mHBP4mFSyvOG7dk5verI8d5OXfNdqvGfjmLOlLm ++gY4Tu2Ic18YMlhIPzhDDQGOhIxfbQ++xP7YJzbi/fbQIfeCM9FPnohM3Yk6 +BPNjd7D5+rAN9scPamMe5KlRh9sWMrU14gp3i/wFvgFOYmfsTezAz4kf4Dzv +n0g6sfSJ4Cf4BGPwvzWZuTqcfbD44RUtzm8mSM6azM3gs5O6mUeslfz9FnMH +MCaJ+7KxyXyUO9Sn2fkPWEDuzJ1cFLnlfZFLgm27guvS/1Ssn/Wx7ssj33ws +ZGyIPDQwEp48M+pdzAPmk/PuDJl2R+hcGXWlOWrvzFwP/FJmXD8msP3j2u9x +Lc5/iBXEDLBuSG4u8snc+Tk55MPyn0u0v8tbzEfJb+HojxTmS3ngJxz/qm7m ++edFLeWC3Dkv+S2YSe1xaWANGE+MBOevzX335uX2kfnhJ2BwXWAyOXhLYNS6 +yJvhCeB/dcRc8iFqHrx7kXxJaxrZ5jo3mEQ/+ffrsabfF46Rf1C7sd45DrkO +dQryikfV/+/cudjUwjV5YgBj+2jeaTqPvm3OM+E9YA11XeovxB/yEsZQe5kU +eT5rJu/fFevkPDh/4jX5emu58/8wzIFdyIfScmc9Z1LMMyryhulV/ibv34/a +Dv83oi5zT25M+RL/f8iNOzfmrmcRL35buC5JDH62cM2RGsqtan+Y+1x+lLtG +Rsz6dOFaJDXJPYUxY2HgxpjUOfY71DhT10rez1yjpB60JHMtEg63T+0nwt/w +u4MRuzlf6mLkpVs0f0fmOvkdam/LXLtembl+Sh31psx1Q3KFP+fmv8RH+AG4 +QF78UfxfYGpwrQmpc8J3NXZjxX54v9rT4n8S1PjJ1+DP3H3ieGvU7sCDI7u7 +/9gW3yXuETy3Kv5/Mbzi+HRmxbUo8JB7enpmnvHZzHhzQndjzoyot36UOb4O +i1riglg/+2jIPX9jbswaF9xiVouxjL6zKr7nI9SuV3939V/e1XMsiPoAtros +YjH56+7AmUHht/gP/ACZ+iftspBPiPiO78Hjbo67PDh0BsX9pp96IPkfeSD+ +Cf9gLLVH2ttCro7/N30lc068JvIpsJ8YwN6xJ/3twWuui7gwKubfG/nFr4ID +EPfmHI6ziWVwn3fzYs4eIYPP6PC/FrgP/AGZNR3+DX8g3g6LGFwfuSE5Invc +F2u4M3XcuzkzF0afGN0YeRz5HLk6Oful8rG6qLNcTM4eOR25HbX4Q/8XzVyL +h/cN5a6l/p/MVVnn3ljjkDhP7ENetDLWT42Muhg8CBwdFPa9I3XMX6h5OlLb +6ouSV6W28yrJq1Pb567MPHF55KTYADuB55z/vWEvcH9lxMdXgjvBoS4onPuS +o48tnLOTu08szJ3gUKzv+cDPUwrvkb1+qjDnh/sfqumFznsNzpHA0SmF8Rmc +vqxw7kYON6nw2VMzwGcO/V9Z6/1jYP7vYxy4wJhLUnPzGrU/Kpwnki/CMddF +bXZ8Yfti54sKnyFnyV0k/rNWYgJ1E9ZaW3Hd7aLUe50SnG1K5LTcQfCM+8J9 +GlOYi74b3Jk6MvEKfs2e2e/ywECwkHrQjPjfweC4f/gQfH1gQye/XxG2u6Gw +TbHt/CJsnfqb5BHYpqbiWh61wFXBmeHO5xfmzHBneARxHR9gnazxoeD066Pe +OK+wX+FfdwRnXh28mxwHnwB7tgSfr4nzH134/s2OOwt+UZ+HExDPlga2gF3P +xH0cELizP7CLHIdYeHfwH3gQ/HpMxETiLPERG9OOCfmmwADiBVg/N/gGPo6v +s19q8EsCz18Njg3XZn1wF3z3jcycHG7eERjCvPcGD4ePc2euDWwktlwT8YX4 +NS/iOi22ID9nHHOdFOtCHwxijnmhQ3zbE3g+IPTQ2RJnDT8kF2mPfJCzYP/w +DWLsssBy8kV0qHdQP5of+xoSGAOWwV1OiFiwOmI0sRrOMz7GJvE/wQmF/19I +jntJ5DJ7wnasA304DVg+Ks5kXeSr2BP+g02p42DP2wLziKvYgjvJ+3Ghgz9y +7+B54DZ+wtn8H9IDUnU= + "]], PolygonBox[CompressedData[" +1:eJwtlmdslVUYx09pey8UOri373mvRBxlWyCKDMWISqGMAoUWkF1mKBaKrLJK +GJHRAYUIjYkJYkKJGxmljDI0BGI0QIxRIYriF8SVaAREVPz9ffxw8v6f95nn +POOch2cuLCpv4Zzbz0ph7ct27myqc5lR59aCewTOtYs41we6C7hDhnOr0p3r +1Nq5S2nOjY471xH+edYP8LtlOncjy7mlGPsFmeK2zs3jX782zo1v6dzXoXNr +kvEB7yr4C9Zm6BnQX4Jz0I2xOkMPwedJ7OcSz3rwdu/cQWRi2FmFzgHwI/js +C+8+/HcPLEbFGkJ3A99mbUR2EP+Gob8ZuhReLvFtAteyyqB7QteADyDTgOxl +dN4FtyCWCvZ7DpkHiOlXZDbAG4jMEPj53nBXYjxOrEO9+eoGfQJ6PvQc6M7Q +R6GHSydqe9LeOiScm8nZXMHm7+ynCH4duACZYvAG/M3B90PEtx78F6s62WwU +ePMhXwugK7zFoFjmQS+CPgbdBXoYazD5LOPf7mSLaQE4Ff5U8vgJPsaBvyWG +Y/DPsddr4KSE+S6BbgFurTNBN58c/EgsK5C5if5h/jXDS1AfIziv8/xrZt2E +fwXdPPx/hP1UzvMi9bBXZ4zdZ7DRKWI5VC4vIT8Z+b3U4ljkfw4stiz4P4Ev +oh9mmO0G5Mr5NxG+x9YC8FD44+H3gjeI9XlotXUBe7Ow9yn0VOiD0BOhB3Em +Q3VerFvQI9lDJfHHsZPLflcifwtfjfg/pdxl21m+wLqN/Ap8luC/Hf6XqxbR +O04+Z6dZDEHCzrIfTZadsBwr1zqTW+Ap9Ec9/nJaWc2vwcZM7LXHXiX4TGh1 +px5sBy5DvgH5zcifw8e90GS1J4f9enQWIdubf7vAadlW21WwW4H/Di1WnfE/ +4NPe9rafmF4Cn/SWS9WIaqUefx/ibyC+BqNzl9zNSrfcKcfxhPVyd/YXA7fB +x2PwqvHXGjyDXDSmm24e69EY9Zlps6E/5xSDPsF3Drbm8r1BzGeJvx79Qs53 +B3R5xGxuBx9lvcXZZ0E3gZvZwyXivZeEHXAV8R7BXy72mnQ+0DkZNqsKsf8b +Op9FrIfVy0+F1mun0e+vWmHNbmkzaTq4nDN4DVyKzIveZpxmnWp2APiyt9pT +zFfApZnmU740857HxjTsNWJjPPhJ1gTordBPhDZjNGvUD/vBBXHLlWZcD+mG +VjuKqQRczFqJbIR/ReBJrDPIT4c/GXzNW+51Jt+Bx6jG4B3Ex+jQZrpmu2b2 +04HVsGr5BjoReNug70TsDmiAvuot1o/R+cZbj6hXvkc+Ndt6Ur35JzpJ8J/j +35IUm/HPgh8kv82cya42VuM9qJH76ZFqcvQV8s6b7j5s1GF7ubdZtgf9JeDc +wGZ7Mv9egb+EPbwKvk2+FoOj/JuWZjmdBM5gTYe+Dj1b9pB5Hfm7yFeAR8St +NgPOpGdoM0yz7BAyJ/CXBr8E/avol4Df85YbzawBxL7D2110lPi2ar6GVotV +2DgO/oB97Wxrs0k9s4x/u5G/g/+l4MXeZrNqSrXVl3+nkqwm+oFH4rNGrQx9 +AboJe9VtbZappkeFNhuV00LwRFYl9tKphwngsaHNNtXcOPCYuO1NM1qzWmes +s9adk5OwmazZrDvvfW+zayz++v4/ww6HdlarifcQeKG3XtCdobtDZ6CzWKf8 +gfuwekVtD73BS1nzo5Yj5Uo5VW71bxn4SGh7reRfY2h3pO5KzeQ81aM328qJ +cqNZMSTLZolmht4aezJtdujN8bY3W8r5O+D28KvSrX71ZslP2J2umXoaf38E +lmu9Ef57K6BTEbU7U3dnCrLJWTZr9QZo8Pb2UA3uA7/h7WyU4zfBxXHrpXHa +A/EXxa1XdIfoLlENq5Z1h6Z5m7mavfK5CbzFW6+qx6vAZYHNJt1x88FTQ+t1 +3dFTwF0De+uoZ9W7qwKbDbpDVoOXBTYbdUdVgOdm2ptMbzHleBQ6tc56NkX3 +Q2C9ozeG3hprA6stvUHWBdbLk2I2u9XTNd5mm2qwFjza27tNb5hC8HDsb3E2 +s69rfofWK6r5JnAvb3eHauZxnUdgva032kbwtsB6V3dAHbgqsF7Sm60avJfc +dozZrNed2DLb3nbyGQW/HNhdojtxp2Z/aG8ZzcxpxPYvawlw+A== + "]], + PolygonBox[{{5853, 1995, 4129, 4124, 6189}, {6187, 4115, 3540, + 1863, 5710}}]}]}, + {RGBColor[0.688866935, 0.69879339, 0.6861910025], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmGtwlVcVhj9Ocr7knJMTk57zfUFCSGzV0AqDAk1onZbaRBKolBQvdcqU +OhXDKC31Qkj9IeCIFapt6S/Avxbo6NDS1h+0NVaHSwklVWEcYQRvI14rMzq1 +dKY44/vkXR1+fLN39tl77XV517vWzvvuf2j1xkKSJN+ZkSQNGk+nSXKqOUkK +WryplCRjTUmyVT883J4kt7RprZIkf6onyd+LSfJHjae190vac0L7+7W/r+S/ +v5InyTd17qVakqzSuElrx7Rns9a36++Xa96/Qesv6N67tPa3ouXs0p6d+ntC +e1Y3+K6TWr9N+7dq/8+1f281SdZKpzVaW9yaJPdq3iXd6tJxi36bW/F4X7vn +2IEOe3W2VzKflLxxfZPSf5O+k6nlL9W3RfvONnvk3k7NR/Rt07mKfi/ryzT/ +a9G2Ydcf6tb/9xpnSP/XJO+NTPaUk+RR7c+5U/b8UDLfPzNJDmnPWa1Nam1U +a40F+/xmzRuK1pH7sR8dLkrepzT/hfS/3JEkFzR/XWff1Pyc7LtOMp/Q3z0E +U7JPaX5ee57XfEw++Kj80q99P0Jn7enW99Pc/vi6ZLQTH/12VOt3y5/92r9I ++/fVvffxmn091my9j2k82mx5P5GcPZLzsORcL5tz6dqbWUfsPajxss6PNybJ +Msn7YId99zvN36u7HpB+E2XLJhbYgE1jMSdG+JN5l3RolMxLkjml9TOpcfZp +yd8nHYoaq9ozldrn+PL11HZdyjz/jPZ8V3e+JHzM171zSsY9/r+nZjw2aXxF +evZJv2Xy7X01466s8YzuvZAax9jxidQ4OCU5T6XGcqazKzX/LPhv9hycYAdY +Q9e/pI4rMV0vPeaV/duA7PuNxm81+J7zqe8GC8zJkVclczK138lXMIT+N0qH +9U2WP6T1YX0zCtaxMzD8Ru753dLtG/JBr2LdK3+vaLSu6Hmn7J6r9Xskb1bJ +6yM6u6BiXYlTS+5YVDUekJwH2431lZpvbDf2D5ft451aP6h9P9D+5zSukvzr +2/z3Lt03UnAO/DOzXRXtOZHaBvQnfszJ2+VhF2tHNK7V2FDwGr91S8++3LnU +r3FxyX5F/u6qbcOuOzRe12abwP7ykLlIvy3U93n8mJp/8D3+AcPfl2/vyB2/ +K5njNlC2/H9nxuR/MnPFNAYL1gnOwBY4jNyG45ZUnJd/Lhm3Lfq6UvsLv+0o ++U7uhoe/lpszxzU+qG+d5hs0PpKb47ZrHNS5/RXrdLFkziZe5Nhk2f4GI2CG +3OnRnu6S8/Tamc4zuORyZvy9nTlHZ7Vaxmzt7SwZS30V24D+4GJZ5SqO54VP +sGG0bN4pRx49nlu/idBnqGK+2REcg97oTF4tbzRPbW70fAtritv9rb6PWLEO +n2PrgrAXDgCDxICaRF6SO+iBvvBaMXjjIelzKOLMHvTtC7seyx2zJ3PzAvyw +Kfcd68NWcAAe/pcZ09QcePIdrc1OHX9y+qnI65HAE1iibpF/8OaSktfJwQ0R +3wmNQ7lxBb6weTj8jDzqDraNBTbAyC2ZuXlr3blFbOEH9sNT6PBE2IV9rE3F +Ov4/F/rDjfyGfPJ7f9U5Plg0vyOb+J2P+bNl24MtcDR1jLhQq/dUXUOeDR6A +D4jb5ohvd+gwJ+owXEc8NuvsM1Vj4uXc/ABPkO9DkbM3w1Wtjhk1D31eU6zS +uvOH+kOd457VUcsORc05WbM9P87Ndb9KzdfDwSXkLDYfDh7ri3qBTz6SOV87 +JXtj7rz6au78mwheIFaDwe/k9FDgnP6KeNOXfDnOIuP5oms9df+tqO/UebCI +f6dxW7ff3qq57lIH7qq5D7qx1TGg9l5JHXv4n3wln4pa7434bA/eeCV3Xl+K +eN0qHtgqnz+TWz/O4bt5snemzt4QPIcfyAfW4OHdif1Db8c6edcX+GFvX6yD +0/7oFZGPH44FL1HD4Cbw0BOYJCfYAwcuCd8xx76e4K6p4DH2H282f1MvqF3E +dWX4AO7CHs6wn7zoDtwVgp9viz6Q2oE+cASYZB3+AptLYw6GkYnfLtTdE9Dj +gCPuHYlejv3T/VxqufuiF6VHQU/0XRhy6AvoQU8G9nZGLflCzfh4pH61T6WO +DCjmJeXAbxu9di7Wicm9BWN4XdX72DMVeY3N1D3qH1iHwzh7MWI7J2IHP1Ez +yevbJaO5zfwKPy0qXdWd+Zbg7IUxHw0/UgvGqz7PWd4O9FL0UXdq/cp7XJ/o +r9eGzvAouTrdK5etO3zT1OY+A37H97PDb4xdgWN6k66oU5+rmd+3180f9E/0 +F+gNVsgfxldjzm/Ho99YFX0GdZxaTQ6Siwer5iZ46cWa8fjtyKebIq+Pas+e +duf/fM3H2807hzXf225uWBvyyR1yir4W3/+66j4JrqRvnIx3Cv6k56N2w/H0 +4eg4GHwzL/qzyeifv5gZ+/Sk7D0Wdx2JHn539JBTIRN9iAH2UpNHow8Bfztj +nbcZ+FqRO4bEkpx4sereGp6Dg+FV6sLhmrHwQO43D/H8b4fz/3RgoCviuC36 +3jMhE65gH3ve7rBMOHtNq982xATMng3c4u8jVfsDfoQnBxX34brr7SdrtmNH +2LKm5tr8Zub3Kj5YJj0/XndMie1A3fpjx5Bkf6/d9YB3LHoN59YVW+gf8OWp +iCNYr0ZfN1Vz3Xz3DXcw6uZA9EHkyLtcAJ574z01PzNuLkZ/hL3kKjG4ITh5 +aeY8fif6jYbc/FjI3YP0N7kHXZ7bv/R3vGvJk23RB16J/oS8RgdyoTP6KziT +Ny1Y/Ffm2kueoO+6mt8xrTXL4A2DHHIF/alZ3FOMt1tDvDU5S06DlV3RJ6Mr +et6aGZv/yMwr6EQMeMPxXj0a71Jkz80cz1XxFoDzqRlwL3Z3hUywja/gxD01 +jx/K3CeRS/vr5vvFUYNaoi8H+6OR99zxgWuMAzAw3eek5vKea5znxIr7yCN4 +bFaH+fNnHb4Tv7FO34BuCzPbib0jNeflkchrZFQCqy0xR/btme/9WLyZToRd +lXhHoDN9BDlBHeGeljj7mPC7os29yIG6cfO0xnJ+1TfUmQPxf4fd2v/LNvc1 +H84cowWZOXVf9GmN8Y4rxPv0eODj/3FkSxI= + "]], PolygonBox[CompressedData[" +1:eJwllFlsVVUUhpe9vfeWXk5pOecerhUiyFAIk6KCFBCBUqAMYYhA2hAIAdGo +oEa4vkhtGBKNCjyV+iptCUSm8sDQQgiQMMgUHoBABU0YTBANKGliTfxW/oeV +/Guvf69pr7UHrFy3cG2Bmb2HFCLPsmbT0mbdKbNEbJYJzZrBB5JmK8DHArPv +ysxmZMxGFpuNgj8Ofl84r4JXlpgdgTMTezUynzuN+D1bZBb1MeuF3gr3EP5W +gzuIsYr7O+G0g9/BR0UCgTMVvAjOD9jyJJeKzGrgfI39AfbZ4MNIFb7ucPYz +3FE5syGlZmPJ4yTx9mGvJ58sZyOw/cPZTbi3yO05+CkxruOrjRi13O9C70Q/ +hb48VM6e+15iTML2LbUfDVT7ESSD//Pwl9HEYvBpbI1wWvBfhT0i5wR3K6lx +LPbPkDXgBnL4FGxIf+5exMcL4D+yws2Y3iX+TM42J5TTLPDf2G+k9Eb+Vgvh +NMHdQH+SxJrMWS6lnr8NXhCqt57jce4Xoe9KyUcdeDFyOaUcPdc2OLfx1YN+ +TaVf+6jnC+oZTz33e/DWsWrxN/K3qo5Vi/dwBngkZzG4Fm45vVsXqxav+RPw +R8jGhN78Y/DFUG/nMT32BH8nYu6nd+OI2UBOZ+nPXHx+gO8/kfm8x0vIY/hL +Q9muIX/5LHK/vSfzzP3XuT8QvQN9Dfpo9Enos0uEvaaqSL3znKaBtyAXiPc7 +/fgNXB1p9uqxTwf/GsnmO+G7sSRULnPQ3yf+Dp+3tGZ0e6wztz3kTmek3Cp9 +PjPKcXOk3TpHzE3gXyJxvWavfWukXfGcPLfRWe3av8j2UL16g3r6ZdSzg8T8 +Ma0ZPwD+PtYse07bwEO5/3KB3mgYOM/Zh2nN2AbwVXJ7EX8dxZrh4VnNts/U +CPBJOOvTmrkT4Fq4E7nzVkY1ea9nlWr3vectkXbHYzZ7f2P10n1sBZdzfx41 +nC9WzClZ7X7SY4QSx4VIT/hjsPdL6c/xv2dgTrvsO/QK+C4xHiU14z7r3lPv +rZ/dA+/2eQKXcf8r8E5i9+9Nr4hdx8w2MetnAu2u/2H/ZfXXXKHeVfhrwTa4 +t3b/G/hr4bcGwuc4qySHPPol/0OY/yBW7j6zPrv+Zv52nkNrJI5zvabXsH8e +6y/yN1kPvgy/M6E/rquPel1Xot3wni8nflOg3Iei59F/CrSrXlMN/CUl2gX/ +swti/e178L8D34Nywh7jUqieeG/8T3hCPt29qDvQfvobVeCvMdB+V+CvCD1d +qtq9jmHgqFS5+By+SewvA3F9Rv8HSwnWRg== + "]], + PolygonBox[{{6080, 2394, 4136, 4134, 6190}, {6188, 4117, 3541, + 1955, 5807}}]}]}, + {RGBColor[0.7671863750000001, 0.77125569, 0.7498462775], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNV21MlWUYfgI9nA/ewwvveV90sgBnTqnAgBS1D23i4hxcSqvcgs2P2eBP +1iYo1g/tg7WppVI/Un9zoFVG0Vqr2HKLNijEWq6WhlbLrRW6VVu5aF0X1+3q +x7vnOffzPPfndV/Pc6p37G57vMA5d/NNzhViHE06N4GvH8JnM86dnu/ccxjf +LHLunxhGbBrG+iLMq7HnRKlz53zn8innnse+Yezvw3gU8lbIs5BXlDtXhf2r +QudykO1MO9cC+RRkPQnnzmL8EWd+xtkfMDZC/3HIH4StDox74859i3lh5Nx5 +7P0NelqS2j8BH743u7R/LCGfE5DfiX2V2N+I8QDWXod8MKPz1PN7qJiaEVsf +9B/G2TroPYTxksXOHAzEZIv+vIi4PvK0r6pQ+hdgvFSo3LTB7gz8rcD3Cubf +YL0M+scKtMY99K2pSDnhWdrbAlkSXzaufLyM+c5ixI08Lcb8a8jGYXMh9tfB +/lPw4238HoKefJHy04nfP5muKxjvxtmeuHTtwe/9GGPYW4RveaHy3JBUzhg/ +c07f/ipXPF8Gzl3HvBmxnw3kV3dC+vYV6Hcc412wszYl2xtQ22Jf/q5JaY1y +xka/BoCxXoxLY9LxNOJY78vXd1HfadidCoS/actnL/bc68sGfblkctaTOonD +i6hTHro7UdMVofBZGyqmYxbXZFz5+AprV+PKAXMyl4+Yfs9i798J5Wst5PNg +YxnkfyIPF2B/MtC+ZXZ2XahYVsH3k/DzE9RmI3JagvPphOpLjHcbzuewnFK9 +as3P+lB2iBHmlj5PGv4ZH/PHGHmWdWUMrAdz8R7szsf4aYHwxriuWWzE7aTV +lngkLunzbvhZkVavp5DXBzxhazVkMfyuSknfjGG4GXIP8ovznHsCZwex/wj0 +3gNZe1p1bjbOSOHzsVaaEFaZB9/m3ZZXxkgf6esNO1fNN9pg3fstlhnbQzxR +J3tmM+zPloinupC7NxD/QdS/xlcM9H8mFD7Y97RfYrVI2zxpvXDN9FOvb3v2 +I8a3POV6aZlz92P+flLjS6Waj3mqN2u9xzBDP74IhE/2EHM+jm/QKSbWi7j9 +AGdP4WwOfo5A9lCheGw7ZCc9cd4NX9lfpz35RH/IN+QOrq+M1E8Z4z328hkn +fNcmVYuOtPqHvZNNijfr8W2DrAlrlZCfh/4tafEI9w0bj1SXiWvIM7s84YD1 +YcysN20MGwdPwe4+T/3PWn3oiSvJk6z7rNWefUOsEwP0m/4/HCh/3MMeZn9c +sB4hV6StXsQ9e5h8SP6etF6eAhaegb3BIt03jSlx6qa4asz6ksuZozOmf6/p +2WucwDnvsNH/xdZsOVwOeXtCvcpcXLE7ifhjPojV7YjhMtavh6oDuZX9y/ww +38wR673RdKcj+VYSqd8bjYfZi0+Wqh+zxs/UswJnu5LydQh5G4Pe1zLqw8PW +X/SVPDeCGFvj2lNlOSTXEku8I9YYJ/NjrcktrP/tvjCwGfPbfMV8AP7c6isH +xHeF9SnzXe4r5/SJvrEWQ544gn4xhiPmG3mkwnqhxGSs6QlP9miLvhLX9LPU +eIN9yVrSb3Jhv92jjJX2UhYvazVqHHQuUL/xPsnFpZc68xnFehTr2wJhIYVx +K+w3+cLN3F1tXNwf6N1zywLZJp8Qr+N2vzMfjI98cNjuGOKM/uwK1BMlxgfU +w7v/s0B39kgkXBAf9IM66kzPQeRkB3JYA39OeeIFckLka41yfpSxR+qtr4mx +RWnx+6i9j1oMPw2GJ+5lnJ32zmkwGX1YlRYvkBN67T3CeHmHHLd7pMX0UOev +iKESeehATFdDvee8SH6xT9gjrdC5xBd+2ce9hkNyQo/1+x7jzv12L8TsfUJs +0hf23azdodzPt8IKe9uwlqxpHezPj/SemxfpTu41/3k/VhrPswbcw1iKI/XF +q4E+zteHqv9sTLi5FgqzWwP5yxjzhhvm7HJGPZ23O/CXSHuYD8bAdwU5rznU +fEOoXuH7lzxAzhgwf+hbn70PPw/0/luyQBhvs97muZydZV14lrW4I9S993G5 +7pTBmO6VeCA8Tmf0NqLvjwTCWtZ4kncn8/9dRhjiOWKX/EqeXWxvPb5NWbtj +gWQFkfJUablaGapf+d4njg8Zby+0tzXnjwXy74WM8sJ7gHUfs7cvfzdFenut +jlSLOS6D/J1IfDMRqJ6brKZcz8X/05EzPzm2Wv+T12rsTqE8a/uJr+WGsS7j +ZvIK4+bI3P0R6h3fHoiXeL8xpvvs7bfO3m/cQ52s/1l73z5q+Wcd+D/jstX6 +XyfiqsA= + "]], PolygonBox[CompressedData[" +1:eJwllEtIVGEUxw/OK5u54+TMvQYGaphkL61MJ+2lZlAaRIsSUijFyE3RTqhF +RFSb6LUz141GZZoUURkJudCKsUAKM7WCIKpVT8nodzqLw/1/97z/3zlfQcuR +3YczRKQR8SN74iJX+V4PiHx1RaoWinQ4Iq+CIkM5Io+R/LBIMCZSie4WuuML +RDby72OmSAz/bmwH8D8InkqAidfLeRq8Bb/mKHGx34DM8G8IfR/6d+AI+jAy +Mt9yFpKjNSKymCIvEq+EmgrAuehKwUlsB9Efwr6MeLnU15RpNa5GX4N/Ooua +QiK3PZFF5N5FzaPYDyJ7iZkif5p4n9FHtH/wDHIAfAXbgmyRfmybidudMG60 +hhR4FfoKYuaRrw+b5/i8AU8gP6mlgphFQeO0HOx4lqsD/wj4JfbTPpE6Ys5i +P8J5wmcxfnG+65luin9j6AY494TMRm2X0N/NkMV4wXmNa9woB/+5iBrnynUl +0qj3Qy0j80RcrQ/7fOyTxFgLbkL/mrOfnC79XUOGwdnoT4KzyB8E78T/B/bf +kPGg3fG+uPWsveudPYubj/pqzO/Ynk7YXaexb0M/Gre7SSH9xD6VsFnRmdiP +7mzCZmkUvs6Ak/RzAs6Lw8b5rGt3VYf/b/BKevWQZWGLeYkYc0HroSdhOfS/ +cvg0bj7q+xebgGccKBd5nNeBV2ismM2TctqJTyhkHESx93vmq3dwWXuhtiLm +5R6zcA77QnwfwUU751JiNGOTB3cB6vGo5wn2nexPCt02bLrAw47hev7NMbtt +nCf9NrMPwRew2YGuhHMD8RujNvv67yi6Hsdy6w6Noc+N2qxrjhb0XY7NsnJU +5lqvypFytZVzcdB61F6rXZtVneEa8HLidTrGhd5BLf+W+synDrw5Zjuhu6A7 +fox8vY69DbpDGZ7tss6MD1yNfUPUuNE3pBV837HetyNv4egGXP3BvyjH3iB9 +F3Rmy13jtj5mtsqxvgWbYjbr+iasJ0dVyGrUWnVmdXb1Dr6gu+MZtw4+tezS +e/J9CtgboG9BDv/HHZsZnVPdCd0NjZn0rCatTd+QyYTtlO6W1tzu2szq7GrM +D+B03HZZc2ru8/DzwLG71Jn5B7Q8vaU= + "]]}]}, + {RGBColor[0.825459625, 0.82918175, 0.8009545625000001], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNVk1sVGUUvQ7t/D1m5s28ea8Ypcm0oiYS7USrFgiCFYqJncSWjYnagBUT +SDRRFzSg1r/oqkWIqZoAWwUlsSgaFtboQk0hpViFYICmuFATTaDRRDTiOZzb +6OLl++b7uffce88939Q2P9X3ZMrMZvEtwvdrYvZD2uyP2Oz+gtnustnRvNl4 +xuwafG049Dv2DjWbvVQ1uzU0W1XEemAW58yq+Npx/znc68bePViv4c51+Epw +VIT9HRjficw+xXwO699h/gFsH8R3Dr8j2LgeYxnn/moxu4D5aZzZABw9+Drw +vQps18L++47pGM6G+F7E3Sz2hzHuxZk+YHsU8wnM3wCmOvZ6sbYMd+uB8B3G +2k84k0ZMbVmzb2BnCfZfwZ3l2J92fJ8A7y+IbbZJ/n5LdH4z9t+MlKMbl5hV +YGtnSvESS8bxLG1RblYhfw3cu5KWr/NNysMY5vNYv+QYiIfjWynFzf0KvsXw +9SVqdQH570Es5VA2GEcrbLbjTIy9j3HmYZzdh7i/Kih/kznliPgHsb4P6wP4 +fQb3LmaF+ea08PP+Tv+9UDOO98VaL/sZ8uWMnxmCjZ9hbzvG/pTySjzrYtnp +jlUvcokYconmWYyngKW/KB58XRBuYmYOiI15oK8TWfk7nxYXmJPRnGo7ktNa +j68vhb2nYWcCv98NNHLviUi1vAI8f6Mu65HrGax9lBd+xnEQGJ7B3V34/SDm +z2J+DPtDmK+H3TncPxvo7A3w1QiEt8NxbM0rBytw9jHcrQXi1ONl8Yo8J1fY +G/sLqseA525bXvHNZPWb81OReoE98V5Ved0dCUsYCg/52HD+sIeZr1IijNsd +J2OlnY0p9QB9LdSLfc2asm86QvXOy8B2G+a34OxUVvk/YuI1+f12ShqQD6UD +s46bmNmTh5vF1y3AOo0xjMTxi46TvmccG+s65bUmF+qh+EAekd+MuQ48L5RV +q3SiPsoksllznfkQZ54vq5YDRekRe519SDzERV60FsUJrjMe4qONtrTqYhnN +uUYeUAvJNdaJ/oc8jkveO0lVuXkkEq8j5/m89zvt7IHfBuLqDcSfc4F0rw+Y +/ymZHc/LJnPBPPwZK6eXMe6JlKcmxNsLG4PA/0AgHpFP7ElirDtO1nncNfJy +i3x9GwkTdYB52OC9wb54rar8vO4j88KcMAddGeWEOjTn/Lk7EV+oN9TXzwvy +fSSRNp+IpBUVx8b7nDNXg4sVP+Ppdn3owr0tBekaNe1Hx0Fc30fyy3ej6vHS +3lbXb/L3ZCS7y6DDw8CzDjlaCx/NiXLIXDIvI47n9liaeRfGzkC2Rvwdi/0d +GnA9WHibqr7OuHa4zjN3E//TaOb1qkYvUu6ZK2p/1TGzb5h/9g5tjTqeq+9T +IAzsS9a2w8eGz3lv0u+yJu3OVb5Lk67t1ILY32La7XetZhxnnW8jnrOy9z3n +7C/2OfueeaFOMX6eZ48yh6wXe2u8oP5aGcsP3zf6Jw5iY98ud1/UPtpt9XeC +3GbeOj3/rAN1Zcp5/xls7y8r5m2uqdSTTf728Q2cLul/AHnG/yKM4UBVfTbv +2rIXNk6G4jdzQv1mvqnHK4vCxfPsc/Ym+3jedYR13Oi1nPX3hr5Lod4D2uKb +QT09mgg/9Zb9z7MV58CdsXTxixbVhDiIgbyk/lL/yJ3jzp97qbvAtjoQFzqd +D9QSvlmsL8+yP8a8j4e9l4mXfON8Rex9i/Gmiv7PURuIe5dzuK0iPaWW8a07 +UNDeQ/DfFco33xjy4o5Ye6N+l7Vf6/jH3HfFtYE54W/GsCb4T79rzgH22Wpf +X+P/wzj/F0l+Ut8= + "]], PolygonBox[CompressedData[" +1:eJwlk09IVHEQx6dtfa67vd33fOvbDSpwywqKciHLdaV/rtKh3YO3oJTEDArq +0iU6FHTpGFlH81paQZpGHtLqUIei1iiDyES7FNStQxbaZ5jDwPzmO3+/M7/G +vvPd5yIi0oVEka1ZkbFakaW1InOBSLMr0pYUaUyIjMdFHoci98Hnwd+ClzyR +XvAD4AeRd9jugY8iE/j28c7FRJwakUxa5G+DSCVmtl/gM+tEDpNjP7FnyL8C +HhC7BqkD/xRYL13E/8uIzOK7kXrT+N4hZomcL+h7HPwbegX8GHgLWBmpJceq +YzW1dor3Z96XGDqJftkXeciM3+tEHpGzk/gy8XliDyG7eQ+B94Dv4L2e95xr +8+mcy+RccKyHk/Ta4RlnypVy0g6+GbyAbyt6qcFqb8fWiX6D+tP45/GfQm6j +5+qtl15q9iSNY+VWOVol5odjHClX7ezrIjGL2gP8TIXG1SKcfQzMppj2UMR/ +BN9t9VbrOvn3Ydvk2HwbMiaq56i1F2yP9h8xnxb0Z+yrTD9Hwc+So5/+npKz +kjBbAZ8cvkJ/N6lf8GzHulvdyXFsE8AP6PG31ia+m/g3cdtpLLTd6w3ewvcE +Mim2s59gY/he8W03urNT6MOucbUzYTW1tu7cwX8kbbV0hrvoUWxbIrazGnQf +/4WocXoavUg/V13btd68R/8p5HXcePwDP1+w9zPTLP4fAuP6KzmehLZj3bVy +0IbelDVfrTkY2J/Q29E/VOV9LW23W6XtgcD+lP6teWosU6vJM86Va73JQmi3 +oxy2oneQv5qyW5zk/T6wWO1Re33JLEO+/ZUj5Hiesd3GyVsk9gLYqGu3oDOu +kGvAtXl0JzPog779Jb3RPHFZz7jWOZrRd3mWU+9mGN9XrtXSm1BONJePT4l6 +/wGrMZdX + "]]}]}, + {RGBColor[0.9129594355950474, 0.916160239761895, 0.8776958675986122], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFlMtOk1EUhbeStED719ba1uiIgMxg4CWplqpx4AMYGYskijEBHDEoI6OC +DyAOVXwBNaIJGkf6BCZF4gQIDFQSL3GoUdeXdRIHJ+ecffZlrbX3/w9Mzl6Y +2RsRl7R6tMaKEecKEV/6Il70RwzkIo7Iodsbsab1Tj7jpYgT5Ygn+YjtnN+G +9kR0tH/UGpb/55zPn7Sv1iOeyrdbjXi/L+Ju5vtX2Xf0/qsWcbUScVp5B1X7 +T83xf7U3DrjmpGIv6v246k4I27O862/1/McKzinlWVb+y7Ldq9p2UnkeZY4n +dkHnY8ozUrDfS8XOJ6w3yCMub/T+U/7L8vmhfVX3hzp/0/m71gOdc3Xnp84d +1V1R3l3lW6pag169T8FZ+CtVc6IG95mCa3FHb/DDYzppj67ojT7w54zO2PFF +J3qzIqxL/dZ/cL94ZebTEuch+bxt+H02+axVrd2rujmDl77Rk8Nl96VZc+6x +mnvYSdpwhgPcrquP4+LcLJrH/aQb+MCPLjf1Pi2/lnwOKfeiaowK06b2jcyY +4DGSuNBP3ulpV3FbmXOfkd6lsvk8z6w1uImnHrzaRWMBK32CM9rQX3iSkzd0 +hwu6bqfZ7qubF3OH70bCcCrp0Ez2Tppt6pCH+6Kw3Kq4PnnRgP6Optkiz5y4 +rMrnrHyOls0HLvRqoeJ+oR+z9lrxt2U7X/ZcrGf+3tDmg3p3RTmGD1ozZhl8 +xBJHbb4luOXr1od5giecNhOvnTRb2H83bF+vGsdu0muiZBxgoCbxcH+c+RuD +G7b5pAlx7aQ//eY/why0S/626TNYWsnOLFyrWKd/tN6l9g== + "]], PolygonBox[CompressedData[" +1:eJwtkr1KXHEQxU9UdtW9d10V3UVJISYWghZGwY81BAl5AMHeCEER1FTpVdAn +MGXUvICGqPjZaJ5AotlOBZsQCBHLCMlvOBbDnZn/nDNnZm7H1ML4fJWkbqwG +qzRL1znpCvtblJ5ik3XSM+KRFuk+Lx0XpKMn0ia5Afw2rBd/K2tMYN8l0g+4 +vmM31eZ84K2f2r6C+YJ3pVH6mkq/8PfqpX/0+JmRztEyDfZN1PO+y9sYmB38 +VTCjiTGbxJ1Nxr4lHgL/nIE64BjGf6DupGCtH6nJtkq3Gddk8Guxrir3rMPf +p/aOGdejFzOOE180SO/BzpM7hW+R/iN854gv0Lid9ez7rdY6Cr4zZ81XqTFR +u0D8J+8ewf2JXLnFWmMXsetDOL5kvbPY3TK9Zuk/mHjmOfwlcuXEGtrhqqTu +v/2oIfzguAT/gveN1Pw99Jto9EwxS3B2lXyr2MFas2/7gR6vEt/4Ev86tfY1 +7KDgXPixo5fMs5KaO2Y+K/q2eerKJWudzPt2oXmG+HPqW8U/M0XPb/JNfqP9 +NZjzBs9yQHyT+oZxu7jBf73jYf0= + "]]}]}}, {{}, {}, + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4881, 4967, 5631, 5630, 5641, 5640, 5013, 6182, 5079, + 6139, 5080, 6140, 5076, 5818, 5078, 5816, 5077, 5817, 6212}], + LineBox[{5143, 4962, 5870, 5627, 5639, 5638, 5012, 5433, 5434, + 5432, 5436, 5917, 5435, 6083, 6204}]}, + "0.923`"], + Annotation[#, 0.923, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4880, 4966, 5256, 5255, 5348, 5347, 4876, 4961, 5626, + 5625, 5637, 5636, 5011, 6181, 5074, 6137, 5075, 6138, 5071, 5815, + 5073, 5813, 5072, 5814, 6211}], + LineBox[{5142, 4957, 5869, 5622, 5647, 5646, 5018, 5444, 5445, + 5443, 5689, 5688, 5141, 4956, 5621, 5250, 5290, 5289, 5010, 5428, + 5429, 5427, 5431, 5916, 5430, 6082, 6203}]}, + "0.8520000000000001`"], + Annotation[#, 0.8520000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4879, 4965, 5254, 5253, 5346, 5345, 4875, 4960, 5252, + 5251, 5344, 5343, 4872, 4955, 5620, 5619, 5635, 5634, 5009, 6180, + 5069, 6135, 5070, 6136, 5066, 5812, 5068, 5810, 5067, 5811, + 6210}], LineBox[{5616, 4952, 5909, 5481, 5249, 5342, 5926, 5341, + 5480, 4951, 5868, 5615, 5645, 5644, 5017, 5441, 5442, 5440, 5687, + 5686, 5140, 4950, 5614, 5248, 5288, 5287, 5008, 5423, 5424, 5422, + 5426, 5915, 5425, 6081, 6202}]}, + "0.7810000000000001`"], + Annotation[#, 0.7810000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4878, 4964, 5629, 5628, 5707, 5706, 5053, 5776, 5777, + 5773, 5775, 5774, 4874, 4959, 5624, 5623, 5705, 5704, 5051, 5750, + 5751, 5747, 5749, 5748, 4871, 4954, 5618, 5617, 5703, 5702, 5050, + 5745, 5746, 5742, 5744, 5743, 4869, 4949, 5613, 5612, 5633, 5632, + 5007, 6178, 6179, 6132, 6134, 6133, 5065, 5808, 5809, 5805, 5807, + 6188, 5806, 6206}], + LineBox[{5192, 4947, 5126, 5111, 5190, 5189, 5049, 5765, 5766, + 5764, 5823, 5822, 6009, 4946, 5125, 5110, 5188, 5187, 5048, 5740, + 5741, 5739, 5821, 5820, 6008, 4945, 5819, 5611, 5643, 5642, 5016, + 5419, 5420, 5418, 5439, 5438, 5610, 4944, 5908, 5437, 5247, 5286, + 5285, 5006, 5416, 5417, 5415, 5421, 5914, 6080, 6190, 6079, + 6214}]}, + "0.7100000000000001`"], + Annotation[#, 0.7100000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV0LVOBFEYBtC7QEgoqNCWmjeA8AboLu7SIUuDLk6DN+jDQIK8AK4NnkCJ +tMiZ4uS795s7f2ZuUfdgPBkLIaTIzgmhh6uCEC654Zo9Xafs4js/hA7Zzo4+ +tzCEPO7tH3ngSN8q2/hyvkU2k6Vv58L6nDTvxXjVzeWFMM80s8ywpm90roll +c1ZZ4VBfr2vg075O1pKpb+LM+pRg9p980U2aN8U4E6RY1cc9T7BgzhKLHOir +dTV82FfJSjL0tZxYH/PLD8+6UfPGGGKEYVb0u9H9RfdizhOPvOu3PN9mnU02 +SNdX8W79xp2zt9F7ugH7JL300xf9h77E7NLoW51LEGc/miOrKaeSYndRIcvk +P4xhTFM= + "]], LineBox[CompressedData[" +1:eJwV0LkuRGEYBuBfIrFWxtYgLmAkdjqqSWyFS9BKSKyJQmObGXvjCuw0GDND +4RLcgJkRjbE0GpXGM8WT9//e85/vJKd9anZypiyEME2sPoSJSAjl8lcOyyEy +zvmmEArkiDSHUMeRvqsxhG466aWndHZn3LNn+W1Oy3vSuivzNZcs65ZI6vca +Qthnl0MO+NDX+n4NbYyZO9z/8m5K3pX26s7NF5yxqFsgoU/YkSTODtsU9dV2 +VdHKqDnq/qd3b+UNKd2J+ZRj5nVzxPXrdmywxhabvOsr7aqghRFzUb/qnJUZ +3nQPdjzyZ2dWZljR98l+fvSDcoAnfcH8ygt5ov55TsbkP73TQrQ= + "]]}, + "0.639`"], + Annotation[#, 0.639, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV0EcyA3AYxuGPA6Q3XYxELxsn0LeOYGMn6kQ9h97tmXETVtjoM5zCk8Uz ++fze/yJSXqwtLDdFxBLN2YjHfMQTCVIkqekHuYhD6rxpk1rCXSlEVElrWTKs +2I5sx2zxrk1pSXeft/3ktAJ5Vm0ntlO2+dCmtZR7wNtBiloLJdZsZ7ZzdvjU +ZrS0e8jbYVq1dtpYt13YLtnlS5vVMu4Rb0fp0LroZMN2Zbtmj29tTsu6x7wd +p1vrocym7cZ2yz69jd+iGDGv/7grVPm1/VG0tVCi3vg/S747z/5+5YUH/c7n +PRO2f7bML7A= + "]], LineBox[CompressedData[" +1:eJwV0Lkyg2EUBuAT+9pYIp0xZtBoLJXOjB4NDUXM2BMV92Df3QWFe7LMEEEs +QYgnxTPn/O97mu/vSW9MZxMRsUhvZ8RjR0SOB/I8sdwesW3uMMkUKdltW8SL +/ZVn3iiwots195hhlm5Zzv2H/ZN3viiyqts3D5hjnj5Zwf2PvcQ3f/yypjs0 +j0izwKCs6D68IUFZVm1Wsa479n3CUuU9jMhK7mv1ddTQQD0Z3ambMzJkGZOV +3Tfpm2mklRayunM3F2yyxbgsUflH9jtu6O+KGCDJfeVOP2QfJp+MGDVHuJZf +mldMpCL+AeAGPmA= + "]]}, + "0.5680000000000001`"], + Annotation[#, 0.5680000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4864, 5331, 5332, 5231, 5470, 5902, 4924, 5471, 5333, + 5334, 5232, 5472, 5903, 4925, 5473, 5335, 5336, 5233, 5474, 5904, + 4926, 5475, 5337, 5338, 5234, 5476, 5905, 4927, 5477, 5339, 5340, + 5235, 5478, 5906, 4928, 5479, 5958, 5959, 5736, 5738, 5737, 5041, + 5182, 5183, 5108, 5123, 4929, 5965, 5762, 5763, 5666, 5668, 5667, + 4985, 6183, 6184, 6147, 6149, 6148, 5088, 5557, 6185, 5558, 6186, + 5236, 6216}], + LineBox[{5449, 5297, 5298, 5198, 5199, 4887, 4837, 5303, 5304, + 5205, 5206, 4894, 4844, 5309, 5310, 5211, 5212, 4901, 4850, 5315, + 5932, 5316, 5217, 5924, 5925, 5890, 5891, 4908, 4855, 5845, 5846, + 5844, 5848, 5847, 5037, 5698, 5699, 5596, 5597, 4915, 4859, 5732, + 5733, 5731, 5735, 5734, 5040, 5700, 5701, 5598, 5599, 4922, 4862, + 5144, 5145, 5112, 5147, 5146, 4984, 5488, 5489, 5487, 5491, 5490, + 5087, 6077, 6078, 6060, 6201}]}, + "0.49700000000000005`"], + Annotation[#, 0.49700000000000005`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4861, 5323, 5324, 5225, 5462, 5898, 4917, 5463, 5325, + 5326, 5226, 5464, 5899, 4918, 5465, 5327, 5328, 5227, 5466, 5900, + 4919, 5467, 5329, 5330, 5228, 5468, 5901, 4920, 5469, 5956, 5957, + 5728, 5730, 5729, 5038, 5180, 5181, 5107, 5122, 4921, 5964, 5760, + 5761, 5663, 5665, 5664, 4999, 6176, 6177, 6129, 6131, 6130, 5039, + 6058, 6059, 5864, 6219}], + LineBox[{5448, 5295, 5296, 5196, 5197, 4886, 4836, 5301, 5302, + 5203, 5204, 4893, 4843, 5307, 5931, 5308, 5210, 5922, 5923, 5888, + 5889, 4900, 4849, 5840, 5841, 5839, 5843, 5842, 5033, 5696, 5697, + 5594, 5595, 4907, 4854, 5168, 5169, 5117, 5171, 5170, 5036, 5582, + 5583, 5581, 5585, 5584, 5102, 6158, 6159, 6092, 6093, 4914, 4858, + 6026, 6027, 5882, 6029, 6028, 5064, 5794, 5795, 5793, 6001, 6000, + 4998, 5553, 5554, 5552, 5556, 5555, 5086, 6056, 6057, 6055, + 6200}]}, + "0.42600000000000005`"], + Annotation[#, 0.42600000000000005`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4857, 5317, 5318, 5220, 5456, 5895, 4910, 5457, 5319, + 5320, 5221, 5458, 5896, 4911, 5459, 5321, 5322, 5222, 5460, 5897, + 4912, 5461, 5954, 5955, 5725, 5727, 5726, 5034, 5178, 5179, 5106, + 5121, 4913, 5963, 5758, 5759, 5660, 5662, 5661, 4997, 6174, 6175, + 6126, 6128, 6127, 5035, 6053, 6054, 5863, 6218}], + LineBox[{5447, 5293, 5294, 5194, 5195, 4885, 4835, 5299, 5930, + 5300, 5202, 5920, 5921, 5886, 5887, 4892, 4842, 5835, 5836, 5834, + 5838, 5837, 5029, 5694, 5695, 5592, 5593, 4899, 4848, 5164, 5165, + 5116, 5167, 5166, 5032, 5577, 5578, 5576, 5580, 5579, 5101, 6156, + 6157, 6090, 6091, 4906, 4853, 6022, 6023, 5881, 6025, 6024, 5063, + 5791, 5792, 5790, 5999, 5998, 4996, 5548, 5549, 5547, 5551, 5550, + 5085, 6051, 6052, 6050, 6199}]}, + "0.35500000000000004`"], + Annotation[#, 0.35500000000000004`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4852, 5311, 5312, 5215, 5452, 5893, 4903, 5453, 5313, + 5314, 5216, 5454, 5894, 4904, 5455, 5952, 5953, 5722, 5724, 5723, + 5030, 5176, 5177, 5105, 5120, 4905, 5962, 5756, 5757, 5657, 5659, + 5658, 4995, 6172, 6173, 6123, 6125, 6124, 5031, 6048, 6049, 5862, + 6217}], LineBox[{5446, 5291, 5929, 5292, 5193, 5918, 5919, 5884, + 5885, 4884, 4834, 5830, 5831, 5829, 5833, 5832, 5025, 5692, 5693, + 5590, 5591, 4891, 4841, 5160, 5161, 5115, 5163, 5162, 5028, 5572, + 5573, 5571, 5575, 5574, 5100, 6154, 6155, 6088, 6089, 4898, 4847, + 6018, 6019, 5880, 6021, 6020, 5062, 5788, 5789, 5787, 5997, 5996, + 4994, 5543, 5544, 5542, 5546, 5545, 5084, 6046, 6047, 6045, + 6198}]}, + "0.28400000000000003`"], + Annotation[#, 0.28400000000000003`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4846, 5305, 5306, 5209, 5450, 5892, 4896, 5451, 5950, + 5951, 5719, 5721, 5720, 5026, 5174, 5175, 5104, 5119, 4897, 5961, + 5754, 5755, 5654, 5656, 5655, 4993, 6170, 6171, 6120, 6122, 6121, + 5027, 6043, 6044, 5861, 6196, 6209}], + LineBox[{5133, 5825, 5826, 5824, 5828, 5827, 5021, 5690, 5691, + 5588, 5589, 4883, 4833, 5156, 5157, 5114, 5159, 5158, 5024, 5567, + 5568, 5566, 5570, 5569, 5099, 6152, 6153, 6086, 6087, 4890, 4840, + 6014, 6015, 5879, 6017, 6016, 5061, 5785, 5786, 5784, 5995, 5994, + 4992, 5538, 5539, 5537, 5541, 5540, 5083, 6041, 6042, 6040, 6195, + 6222}]}, + "0.21300000000000002`"], + Annotation[#, 0.21300000000000002`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4839, 5948, 5949, 5716, 5718, 5717, 5022, 5172, 5173, + 5103, 5118, 4889, 5960, 5752, 5753, 5651, 5653, 5652, 4991, 6168, + 6169, 6117, 6119, 6118, 5023, 6038, 6039, 5860, 6194, 6208}], + LineBox[{5186, 5152, 5153, 5113, 5155, 5154, 5020, 5562, 5563, + 5561, 5565, 5564, 5098, 6150, 6151, 6084, 6085, 4882, 4832, 6010, + 6011, 5878, 6013, 6012, 5060, 5782, 5783, 5781, 5993, 5992, 4990, + 5533, 5534, 5532, 5536, 5535, 5082, 6036, 6037, 6035, 6193, + 6221}]}, + "0.14200000000000002`"], + Annotation[#, 0.14200000000000002`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4831, 5935, 5936, 5648, 5650, 5649, 4989, 6166, 6167, + 6114, 6116, 6115, 5019, 6033, 6034, 5859, 6192, 6207}], + LineBox[{5148, 5986, 5987, 5877, 5989, 5988, 5059, 5779, 5780, + 5778, 5991, 5990, 4988, 5528, 5529, 5527, 5531, 5530, 5081, 6031, + 6032, 6030, 6191, 6220}]}, + "0.07100000000000001`"], + Annotation[#, 0.07100000000000001, "Tooltip"]& ], {}, {}}}], {}}, + AspectRatio->1, + Axes->True, + AxesLabel->{ + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + AxesOrigin->{0., 0.}, + DisplayFunction->Identity, + FrameLabel->{{None, None}, {None, None}}, + FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines->{None, None}, + GridLinesStyle->Directive[ + GrayLevel[0.5, 0.4]], + Method->{ + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, + PlotRange->{All, All}, + PlotRangeClipping->True, + PlotRangePadding->{{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, + Ticks->{Automatic, Automatic}], ",", + GraphicsBox[{GraphicsComplexBox[CompressedData[" +1:eJzsvQeUVUW2BoyKjgpmEcw5MYqYA+Bx1DGNYVR01DEyOoYxjRlmTKiYMOEY +EcRWQWgDNElo4m1ooLuB7tuBDnS8nROImEX/vlXn2/vt73AH33v//57/Wq9X +r1VrVzpVu3aqXbvq7j/krktu2rxbt2777NutWzIdddC5Xf8ZQbfwz8MxgStm +3NH1n0vlcYFdcUWJwOU+Q+Cffk7+VQv8imtfJ/CBSXBUvcDTXfNGgc92H2wR +uMz13ybw39wAOwT2f2sJ1nlifoAxP1seFxjzA4z5Acb8AGN+gDE/wJgfYMwP +MOYHGPOz67SWYF03nqedX4zmF6P5xWh+MZpfjOYXo/nFaH4xml+M5hej+cVo +flE63Pi68TzjAmN+gDE/wJgfYMwPMOYHGPMDjPkBxvwAY36Wj9YSrHy1cTqM +ReYF2K5fnNYvTusXp/WL0/rFaf3itH5xWr84rV+c1i8qJzbOV7HIOvG8AGN+ +gDE/wJgfYMwPMOYHGPMDjPkBxvysnFtLsMq9jcuJWITueJ14XoAxP8CYH2DM +DzDmBxjzA4z5Acb8rNxeG6SS4xuXe7EIHzHd8TrxvABjfoAxP8CYH2DMDzDm +Bxjzs3pobZBKL21cjscicoH5iOmO14nnBRjzA4z5Acb8AGN+gDE/q1fXBqn0 +LObHcpvlHMsF5iOmO14nnhdgzA8w5gcY8wOM+Vk7YW2Qym7A/FgPsdxmOcdy +gfmI6Y7XiecFGPMDjPkBxvys3bM2SGUHYX6sV1kPsdxmOcdygfmI6Y7XiecF +GPMDjPlZO25tkMquw/zYTmC9ynqI5TbLOZYLzEdMd7xOPC/AmJ+1S9cGqexU +zI/tHrYTWK+yHmK5zXKO5QLzEdMdrxPPy9rZa4NUdjfmt3E7ju0ethNYr7Ie +YrnNco7lAvMR0x2vE88L40tLsZ9IC8fTJPVedmlrBEY7P51O6le/g/48njKl +PWCU+36ypRwwyn2/+fT9fCl32aOKpBwwys9xAyqTcsAov90NqFLKAdv2tdS+ +Vsr9uiakHLDtv4H6b4jgKRWeGY+p8Mp4Y7wy3hivjDfGK+ON8cp4Y7wy3hiv +jDfGK/CWCq9IUY6Uy8E3B7j5tUs9wBafnYTPzsj6cL+2fG1kXPwdwFh/fIf5 +LNU4uJy/C9jKpU76zlpqz3o6Oi6rpzNJL2eTfMoXGHQFGHQEGHRjy2tJzyeo +vvLTr21cgK1dovTJ9Mhynded+2P6Yf3A9AK9ZuEYyedcKo8TvZUQ31YQnVcL +DL0GGHoNMNu7v7ZxAYZ+ZXnCdgWXs33hxz2K7Ig1gc3v1s2va7Pkcz2kqIfy +VO24HlKMA/MF3SK1+4UmgTkfdAh8IOV81J/m2mOdlB9QD+UYt5WXzZJuqh7w +aeer+PX1G0l+Nwr+Ns5vzTJuhi2ft9E41kbWh/kV47TydxTZV6PIbsiQfj3Z +zyD+n0H1Y1Lfd7eI5OAisjNypf6dLmO51Ads+48TvRXS/ApJrpVIfZf98yqp +D9jaBRVS3/PtatrXrSY5W03zraH51kh9yAWLzzrCZ53Uh9xAfa8XGkhPNMg6 +WbymE57SI/tJSy8x0tMLiL4WRPbP1t5aRuNcFtlfo76rdlCB1AfM+2/U92RW +LPUB8/7c4rlc6gPm/buVO1VSHzDv7619WCv1AfP+39JJQuoDZrmQSm6kkgMs +J3jfzXIM5We5FHKwmfbFTWF5h7QHnEqO2Hm1ReQUy0l8B9+18+4kvHRG5Bzs +L09XaZLa/IxIuZVnatdYP0ma4At8A/sO/SNFPviHy608bJd866fJlO+Bz2A/ +on+kyAf/cbmVp+2Sb/0+2fI98KmXU0XSP1Lkg3+53Mrjdsm3/oJ8+R74HPYv ++keKfPA/l1t53i75+B5gfA9yAvY1+keKfMgPLrf6oF3y8T3A+B7kDOx39G+/ +Xyvyh8utPmmXfHwPML4HOYX9AfpHinzILy63+qhd8u38auV7kHOw39A/UuRb +v7eWW33WLvnWD5mQ71m52S79W3w0SH1rX6Wl5HPwXSq+BJ+k4iPQdSq6Bx2m +olPQTSq6wjqnogOsS6p1Ax5T4Rl4S4VXP99OKbd46CS5reXWP8tyOCOl3ESa +Ss4hTSWXkKaSI0hT8T3SVHyKNBVf2XOsKB8gRT7j0fqtO4We/bxGkX5QvxCX ++/YzBPbFiwSGPW31W6HAsIcBw961/dXQ9+pInzT8asbB+8BUeAXM/jbe//lx +ppMdlE72yQKys9WOZruY7WboR5QDTmX3Ak5l57IdzHYt271sx7Kdy3YrYKx3 +qn0i1j/VvhD0kGofCPpIte8DvaTa54F+Uu3rQE+p9nGgr1T7NtBbqn0a28Vs +17Ldm8ruZrvc6rFm0lvNpKeaSS81kx5qJr3TTHqmmfRKs8gz7Cd8eQuNp1P4 +BHwGGHQCPmEYdGLtVIVBJ+AThkEn4BOGQSfgE4ZBJ+AThkEn4BOGQSeWTxQG +nQAfvA9gO53taLZz2Q5lO5HtOLaz2I4CDLoDHQMG3UK+Yj7WLwB/n+43PR3w +PiuTziVmkB+yXcoxDi73cIaM08qldvJztJFcaie/RhvJpXbyY7SRXGoXOwPl +Vi61k5+ijeRSO9kbbSSX2skP0UZyqZ38Dm2Cf+DFzjM9sHiMEZ4X0Dx1Xwl6 +tO11Hwj6tOPUfRvoFeW8zwL9opz3RaBnlPM+BvRt8VxPeE5IOfzN9vyskcbf +SX76zkh7u99pIn5X2Pqhm8keTiM4Q+jUysd84pt8WUfQLdpB7qNfwFhX0DHa +QS+gX8BYZ9A12kFvoF/AWHfQOdrZfWgZ2dUVQvdoZ+3qSoFtvFwdyd8G2oc3 +0D64QdqhHPi0cVCZtJ4zyI7PpriobKkP/KM+8GnjLfKlPvCP+sAn6gNGfYv/ +BsEn6ls/RpPg357DVNL5TKXUt/qukdapKYJv8InFh+oH1hfgQ8BYV+AR8t76 +qTPIn5hJ57R6/gDYrm8u2U+51D5O7eM0vxKyb0rIH1JB9lKFlPN5AcN8PsD+ +f453Y/3McTm8P0e+lRdptJ9OI35PE7qw5bUCY91s/QbS87BHJ5P8yZTv2fWs +pPJa4scExak0kt2E/dTCiFy1/oFsklfZ8j3Lz0qX+J61y0AvOXReHpXT+J6V +r7UkDxIUR9NIdh/2SQWRdcT3Usl9fM/KkwTF5TSSXYn5lUTohNeR8cx6xPor +y+R71m4Ff5VH6JDphNeR8cx6Cd+zdjH4tTpC50yHTCe8joxn1nP4vrXDIQ+i +fMV0z3TJdMPrynhnPWrtnYSMx+fXR/ia5a7FfwPhv4Hwr3qK9VAqvY3xeDnW +KPLO7h/WCMxyEeWAOd/PL/W+FHo81b7Tt0u9r9zUvtF/T/eFVr40SIp8jJP3 +Q3b/1kn7ybUR/HAcAdYZ6a/NzwDY6k+N70A+x3lAL9r5g741Rb6Vd8MF9ngY +nTLf9huNd7Fyp5Hm0x5ZH5vfTHof82+IfBf0zPOx+G6SfD++JpKDTSnwof16 +cJrAvt9ZJL9nEJ6yBPbFi6m/RQTnCTzTpStI/y2n78UJX0X0/UKa5yr6XqnA +4GOL7wqab6XA1k8NfNXQ+GroewzXUf8Jal9HcD3Np4Ha8/4f7cbTONVu9nid +S3hTu9njZQm1jxP/59M4S4j+imncFcTvZYR3tZM9naveZrvZ91dL61JP/Seo +f8Wbxd+m+cTGWeg5ActTK7cXROIFkA89AzmLFPnQO5C7SJEPPQQ5jBT59pxa +z7uRDz3F59M2v5bsm1rJhxxivcbnwVbfdUb2MYB9P50R/Y18S2fjI+tg5YXS +Ne8XmK7Zvme6Br5tfaVr4NvSTxnRrdq7TNcbt09rqT+Gma4T/yen/38ip219 +td/AT2yvY1wWXkT8p/tVrIPdL+eTXVlI/el+EHi29qnu34BXa/9UUv1a8t+k +kxzDX77oLYwDJYBRbveZ3bpZ/0UG7Qu7dbP+jIzIuKx/I4P2WbjHnKD+G6j/ +hsj4oWft+GKBHU8ssN+PkX9F3y/A+uK7Vk+Uid62++Zc2tfm0j5T3w/49+sS +i+yzYQfY8cdp/PFfuK6xiJ8asN2Hl9C+uOQX0kUsgif2c/O+me+v/3u6ikXw +znhiP/l/ji5jkXVkvDOe2M/O/gi+3/3v6T4WoRteZ14XxiP78Vm+8X3sf89n +UT8v+3XZj8t+W/bT8rkBf9/ai60UX5Yu47Z8m0b2XzrxXZrYHbafNOK7BRR3 +mit2JNrbenEph91ix5FJdLSMxhUXeYP21k4tkXJvLxRH7Fj0g/a23xKRJ2iP +evZ+a77YTXYe+dIP2lu6qxD5gfaoh/VGOewulCPfvlNQHnmXwZ6/VEk9e+5U +JnYb2+Hox55vVhP9VUp7G5dQL+Ww+9iOt/1o/Cfa27i3RMTOt+fLiUicpz2f +mBzxw7OfnP3Y7GdmPzD7adlvyn5L9hsC5jjHVH5E60dTP5gdV7bAoENrJxaR +naf2v43nVT+YnWeC6nO8SHQfw/sW8EmqfQnvQ3jfsXE/NfuJGyPj8euo98mQ +b+XCDEl5f+ubLZIU+Rg/7FmkyMd8PJ4KJeX9LexZpLy/hT2L1MYVJMT+Rspx +Phv31y4QvQCY8WL1+7IIXiCXATNeIFcBM14gF618UrzY9zyqInix+rE2ghcb +p8L7fNXr1l+ZQXQyWfysgP28R8s+39aLCR0xniF/sO+FHwD5wCfojNcB8sp3 +v1j8BMgHvjd+LpAr8g37Yv+dfMnHeoBOeR0hD/28YP8WSz7WC3TM6wz56b9b +Kn4I5GM9+ZzC2mnQb5Xip0A+1ht8wHQC+ey7qxE/BvLtuzl1ETqCPMc+G34O +5Nv7sZ1BqesI8WodAvvvdBLfwa5eJvSH9QM9YT1AH8Av1hv4wvph/lgPqy9X +0/58BsmJTKFL/71pRI8ZQne+fhbZUzGhK98+j+Ifc4Vu/PfjMh/QG+gCfhfM +D/SEdYefBfO19hD2ITUkB6pl3fz4NG6bz2n86qwVPEGOAg+AsS5sFwO2cU3L +Uti5hRG7FDDWEXgEHgBjXdkuBAy+YLvO4jVql1n7qyFid3H8DOjI+ov0XjWX +23MonP82SIp8yFnIXdAn1gUw5CroE+sCGHIT9Gn1d4HIRdAn1gUw5B7oE+sC +GHIN9Gnjx6pFboE+rd6uFbkE+rR6vF7kTiq62zidFaakI6YbphOmC6YDjjOz +/BETGOuDdcQ47f4vl/gnh/RjIcmhuMA2DiVH5mnlaAnxV4m0Ax6AF/CP5bdy +aQc82TjRauK/amkHPNp9WR3xYy3puQayA+sFBj1YvYZ45TSR2+AXXhe7Xpki +x8E/vC5YL99ftsh18BOvC9bL7ovjwl+8LlgvX14kch/8xuuC9bL71grhP14X +axdUil4AP/K6YL1sPE2d8CevC9bL+puUX+1+WOWijTdpErnH9SAHUQ/rhnXH +umHdsX6WDrJl3bFuWHcrL7Jk3Wwcb76sO9YPMNbN8mmxrLvlI/VrYt2t3FxF +fLRK1s3aL1Wy7paPKmjd1N7DumP9ANt1q5N1w7rb/VYdySn2l2USfas/iv1H +wBvGz/4Z9qdgXlhv3k+AHrC+HtT9AtYf67nx/cByWT+297G+WC/fTu15rCfW +h+11qw+j9rjl00TE3sb6WP0/nvT8KILThK5RH3oCeLPybYbAWE/Qua1fIHgF +XqxcLaTz87jUt3okX/CG7wIGvYAPUB96BesCvOK7gEFfli+KRc/YdawhOVxD +5xE1Uh96B+uKdcF3LR9VCt+gPvQX1h3y035X4/AgTy0fx2S9sb4+HS16C+uJ +9QO/QE9hvaycWix6CesB/INfoIeAb+AX/AK9A3wCf+AX6/dcLfgBv0CvAB+Y +P/gF9O/7zSC/pcansz0FvFm/RywShwP6Bh7t/jA3EpcDegZebf9x6j9OdlEJ +7UfZ76r7PeDd7i8qyF+p+z+739N3YTmuB/SIdeG4Ho7jsX7KRtnfc9wI9o+w +e7Fudv1ySB4VkD1bIqnFWznhpZrmrXYiUvZDQz4i/bX5mTkeiuMt7XgmyzyA +X8wD+MU8gF/Mw8rjIpKvZSQvKwW/9vxSzyHs+Rf+1hJdTJZy0BHzMfMl8x3z +FfMN8wXT/S+lc/+9dBm3tfeVfiBvkFp6L6D9hp4T2v5yyF7U+DP0gxTrCHsK +64kU/SDFOts4aI1PY3806MDufzVejf3Tlg81zp3Pzax/Uulo4/5qpSu+F+vH +10nyZDjR/2jBq5/nNIGt/VhA+8AC0YeWP/IEhj60cknlO/ShlVOrBIY+tHKr +gvBSKXiAHrX+kRqx6zBv9gPB7krl52G/Dvtx2G/DfhrYp+yvGhXaJ9AP8A9j +nFY+TBY+s+ULaL3U3wE+wDws35RH/BHsb9i4P0Hnwf465Fv6SpfxYbwYn+Xr +EtoXldO+vpr27Xq+bPFc+6vDk+W/UaRvZhDdLZJx2H2HnhdiHLAf7TnFahmH +76+GzmnSSN6miz5AOeaPchtXlEbnl+miL1BuzxvSKW4nLbJONo4mTfCHcvtO +ahrZmzp+6A2MH+tu7fFM0gcLZPwox/hRbn83IlPGj3L7uwuZMn5Ld2milzEe +6C0bZ7FMxoNyu/9fRn6obNI/y+i8KlvGs3G9HCc7SH/nA3oS3wfd2Pfa8+X7 +KLfvt+fL9y2fpUXWDTDGDdie3xXJ97DOdj9UJN+zej0tQge8DhzHY/2J9aLX +7flfOdFtNdFBNa1DNeGlmsZdTXxWR3RbR3Sj68B44rge5kOmW6YbXkfGM+OF +43z4dzQ2rj/qSW40Eh82Eh80El1qHDDfK+d743xPnM+XAMMOt/e02uUdGdSH +Xrd0PYrobhTRySjhJ8DW3zhK8ASY701Z/TSD7NEZdD4zQ/oHbONA9B0TK1/K +RR9Ze3iR9AfY+j/Vz2b1+QyB0Z99T6BWYPQHONW8AeO7gK1+KSR9UhhZF8Yj ++uNzdGt/JET/8rryOjAeU53Lp6ILXkdeB8Yj+uNz/lR0xnTB68rrwni1dojG +ETC/p6JrfD/VPQG+F4Dvp4r75ziGg0I7iM+V4UfE+Pw41A+CexC4h2rfV1F5 +ALvd/v5Mp5Tb97/bJN+vRxv10x7Jx/4AMOJGAFs5WSfj9/Ouo/Mhvc9kf08m +dVyKlbM10p9fxxrCXw3VXyTlft2yBPbLvljq2/eMGmU/CRj7SasnCun7cdpn +qV4Andj1XUXfK6XfgVpN9FtB+KykON9u3SCHAFt7E/6cKoGtPYn70hrXbu/D +6L0UjrvhuGyrlzJonAuoPBbZF1g9lhGxq215LBJXDdj3lxvZV1i9mBGxy215 +LGIn231IrsCYB8cN8b7FytuMiN1vy2MRO9zK71yBWc/h+xy3zXFLvG+y8joj +su+w5bHIPsDqg9yInW7bxyN2tdU/JQIDjxxXxfs6K+8zAkvXC6g8JrDdB+n9 +Dd5H2PZxgTF+q99KBGY9bs8FNC6d48J4X8rxofzOC5+j8LssfG7C76jwOQm/ +e8LnIvxOCZ+D8LsifO7B737wvRs7Pn23xqc5YrfbuFHcq9D7Ez5fz7dtXIue +H9r7eRr/z3KN5RDLBeZDpmumA6tPZ0TW2cr/WbS/aaD9AeJ08F6+9uP7h19y +SoiPDwT2/U+kczecLyP+co7AXj/Ok3l7fbck/E5OOD+FffuldN4J/zj8RQr7 +dnqPBX5R3w779iKB/feKST7AP464XYU9/sqIHhHXDf6rFNjjWeNy7Hkx3j1W +2OtzjpfCuuMdZIX9uuJd6kZZR6wH1s+uxwcCY/2wHjYOI0fWDzDWD+uB9QP+ +sX6AsX5YD6wf8I/1s+ujfg2sH/CP9bPro/ePsH7AP9bPrk8ZyYsqwT/WDzDW +z97TqRX8Y/3s+tRG7BK2I1ivsx5lvWTtv2kRu4PtANa7rMdgp6WyE1gvs55D ++1R6mvUe252s9/67dijww7/XCrnI+xwbH6P3BwFDX/heJosdD71p57WA/PQL +Je7N2mmqd9nvDruf7wPy+QPGhf7t+qnetvufHNknYL3AX4Ch7zAP9I9y9A8Y +/dtzgZrIfUDA0J+YB/pHOfoHbMdfIvtGvg/I5y2YB/q393LU7rD7sXLZZ/N9 +QD6/seeA+rs39ne3qmj/pvXtvUO1Y+z+DfKkJRI/gHz7vrqW8+/XgO5tXAfu +1+J3ZBTeuB+gg/rriOz70T9g9Id9PGD7OznR7wJG/56+UvcDGN9FfehBj2f9 +nQb0a3+/B+/Z4nd8NEW+pw/9jqcb9UcgRT2k+A7qs38W5+KWn+YKDP1q5X8+ +2XfFZM+VCQz9Zr9XS/6HBdTfMpJPyu/Mn8xPTP+gb6Ybm0bpxvP9qIj/F/rQ +1xtN9ypmiD/HtouJHQx5i3r8zi/0gG++WOSn1ReF5PeNi9/HxiEUilwHbPVd +kcg31ON3fu2961KRVzburob8mXrPzMYp1IgcBWzPa2pIjkbf+bXnKQna9zSQ +XuI48AaSc+xX7IzwPb+L7/E1nH4XbbjwqYfvEdjj/Xmpl6of1EM7pNaOUH4H +XXi8jJd1t3EbWNclsm7gX7ufLA7sfrJM8Ar+BR4gV4A/9usyHtkPCz8q+Al0 +b/krJvwFfgE/cZwx+MXGpeYQPxXSdzROle8xge7tdzROB3hFvxw3bM9HNQ4O +/YLuAdvzzdLIvSdL96uFX8BfWDf0y3HA9ryS437qhF8AWzsuEbH7sR5+vlmE +7zzya8TJ3tJ7XvATW7ushuZTR+Otj4wHdMJy2Y9zStjudfHDWHs6i+hG5TT2 +p36dZqa415kndMRy238XcTSAs4lv40RXClv/wgrxC1n7eBXRmcp1Pz7Ex4D+ +Vd4D/5buFMb+1tcHrPeNsV6WDlXuY7/r668WP5XVByr3WQ9g/+vxCbiW9IPq +AdYL2A/79dPfdeL7xpBPnq5wb1VhL587I3YXn7ti/a0cyxE5Dxj0afXxDFl/ +K+cKhM5tPNgskieLZP2tnCshPi0R+oQ8sfH5FZF4KtA5YHvfpYbOOatJDlYL +nQO29Fon88D6W7lYK3Ru5UKpyDn7vkM9nWvWC51bO6GS9l8zxF6HfxJ+Sa4H +OYN1gTxBPuohP1U9u04Zsk6oBzvB9rOI9GMW+Zn1XiLLaa5n6Tcm64x6+L7t +Jz3yXgfoHu0tnefSd3JS1gPdALb6I4fsphwZD9phH2H7KSS+igsfIR/1WG9x +PdAlYNCllcctZH+nSzuMDzD2OYCRgo/RP/gW+XYcqetZ+0HlvW3XQnIiXdph +vPae6LKIH4ffV7HnRBUiN/jeKfJT1YN8sXGVNVSvRWCMH+0wfsAYP2CMH7Bn +22KBkdp4sxqRY9Zuq4nYMVwP8s62q5N6mA9gzAftMB/A1k9XR360OooDUj8V +YJtfJ+OBnOV7vGyXcT3IY9uunuR4i8CYH9phfvbe2jKBMT/AmJ/9btSPZvtr +IHtY7/XwPWS2O7ke5oN8zIf9ruwnZb8m+yHZb8h+PvbjAbb19J6z9bu0kN8l +qmfs7xZG9YDd90blsv09wKhctO2jcsj+Xl+Uz+3vZkf5xv5eX5Tu7O/3RdfR +/n5fFG92fuqPs+8OJsiOSNC5cYJ+f61V/ID+Owrzu2bsP8X37TyaaZ76Pr7F +VwvZo6Mj+RbfLTIvi2e9f496gO3vUGo5YO7fy5dp9LuO06jfWTTOLPKjZEm5 +56vF1H8e9Z8n5fZ+aovYA5Yu48Q3RYTXVTSvVfT9UsJnBeGzguZbSXxSQ3xU +Q+Otoe/V0XzrqP8Eta+n+dbT/BpofvDPjad+xhO/zJVyb8csoXHm07iKiV7K +BLbvV2EctVQ/QXhuoPpROmU6ZjplOuZ5Mh4w703hwf4OahQvdv2ieLLjj+LN +jj+KRysvoni16x3Fs+0/EeFb5mvmY8Cp+Jj5nPkacCq+Zr5nPgecis9ZDjDf +A07F9ywXWA4ATiUHWE6wXACcSi6w3GA5ATiVnGA5wnIDcCq5wXIFciOVXPH1 +Z4j/G/Tj5zFc9s0WTpN24EO08/SDdygWCR+Crnz9bPIDLxG6gf/N1y8UPgRd +eLiI9nfFsu72/sdq4UOsq33nQd/VwbrZdxw0jseuk/4erX3vo1788h7G715q +XDPwYPEcExh4QD2f5hL+4lLPt48TH66Sej7V9+ssveu5k93f1kg9G29YIXhA +PXuPR99/QD17T0ffhYYdzXYN1t2n6eQ/SBf71trVTVJu47HTI3Y46Mbu80oE +9t8rETuc9+XAl90XlotdDrry7QsEf4BhP1s/iO4jgU/AsKcxLt6HAb82zrJe +xmX5Mp3oKp38RmlCR+Brqxe0vd3356XwC2UK3Vl9rO9CYd1ZX9v+NG4H37P4 +1/fVsL6QM6Brq++bpBzfZ3uA49dBh5ZO1N9l13dVxG8DuWb5SH/PFOUYjy3X +37fHeJhuAXNcEcZj6akihR+miOSg7pNRjvGx/YP+MD7wid2fV0T4yOJN/Vk2 +7q0m4leBnLdyRX+/FeUYL9tjqe4NY7z2nGVZhI857on9V/a+VV3ETwI9ZPUG ++x0qZfxsL6a614zxW3+R3tPF+FnOcJwV+6tsnHJ9xC8CvWnterZfo/esrf+z +XsYL2PJRfeSeLctBjuvCeG1cdYvArDcwHo6z47g4jmPjuDOOE+M4MPYf2fj4 +lghsf8+rheKXNM7K+kkURtyAn99aqW/jqDQezP4+uMZPoT3sHLSHnYP2Hu+d +0t7GM3D8FOglGkcCe8HG/zUIP1t/j/5Opr030SD8Y9+JqJL69p2TBqFfuw6g +3zXiT8I84E8CbN/F19/XTOV3Aoz+7e/Hr5FyG2/WIfXQLlU9wL7eaLELsB/0 ++Vmyv4Oete+mxGk/hnPRUpHb2B9BDvp2NSJHsH8BX2KdQQc23qVV6Ad4s/So +vzuA+vacWWHU9/ltwQaX3yr8gfqAbf0OqY9za8D2d/RayH5BPBH2hffQPlHf ++7d21vPC53ZfN4P2iYvI/7Gc+ikUGHYRYHuO1CJ2gP1eHenvFtLfLaS/W8i/ +3kL+9Rbyr7eQHmmJyOmNy8VOoXu7vgrb373tCF5y7VQ+QW5auddBdvAi4Rfw +h08zBd/gH/CLx1u24B/8ZPlH31G0/hF9V9bajfwuYhnZbaXCb9au0Pgly3/6 +jiH40/KjvpcMfrV26TShWz/PqRL/UxHqU9QD3kC/Po2F859Jdn6W4BH49+Ww +9xfT+WIe7S8Q36nxPKBP1AOesT6+P5wvFxL9rhK8Y708fjVex+olPT+1+0bg +V38vAPWwLpb/NB7H3rPX8z6sry/X+Bt736Je6JrjcKz+Xk7+nzzx9wBPHs4Q +PGJ9gRdfHiP8ZlHcXq7gya4zvwtUI9/BPH1aIniw/h79XSo7b71nyHYG9tVo +b8+x9FySzyk3fk6jdhmfs8K+AMznrihPdQ6LcsB8LotywNbeqRcYdLFxu0T1 +q42XRz3EybZICrnIdojVn+30XkAHyZ0ZMn7AGC/oy94LbZD7b4j3B14gt+39 +SH4/KpP2kfqeEeSy5Td9vwdyF/1AzkH+w7+EeVg4W+pDH6DcyrnJsi6oD3xz +f6An9OfxoPHugDEv1Ie+Qbn9HZaF8n27D26J9Ad6tXGVOSnikIqkPvQZyq18 +ySG7epl8n/vDuqM/jse3cXxlFIdSSu8ia3wRvo/6+D73B7pCf3580bgh6GPU +t/axxg8BxvctP7dE+rNxGND35ZG4H+h7S/ca3wP5Cxjft3qtJdKffS9A43Cs +HtPfKbT+j4SUQ74Dxvft/o3jEPj31hIiv9EfYLuPqCU5Vkv7hoSUW/mp+3Oc +S9q4BYXRn5VbGtdg79/o74eAvwCD3gGD/mx5icBYH8C8Xwb+APP+GPiw++va +yL7I6gmV8/AD8D4W+LDyXc8hUQ65hXLINZTbd3/0HNHKy0KSl0VSDr5EOfgW +5fZejZ7z2fHVED/U0PzqqL2+L2HnMZfqLaNxLiG5W0DjyCc8FZPcVLlhzwVa +xU+CcnvvEXSrfGffX2gVP4jlowT1z3zUSHzWIOXQc9CrHo/jhT4AW726QPQg +8Al6sb8vsYj0DvZdS4R+APPvkUHPAN+gJ8CgNyvXywT/oC/AoD/7XkmlrAfo +DTD/vhjkLtbH0l+V0KfdTydkvazcZTmZID9YQuxgwNZug79FU5xvWrnXRPKk +ieRRE52DjSd7YBTBabQvGE9x4+OlX7S3MH7/oknqQ46CbrBOoDfAoE/sO+z7 +CeVCR/a+3iLSx3h3sULqW72ZL+to97M1Qr9+vDUkB2qFzrCuwBtgS891Uh96 +ztJhg8zb7ldwL0XrYx9k41LgB28guikRugLemc+tPzKd/Cfj6R5QOsnj8RG5 +wnIBMNvDKLf3gtT+ZbnN7VmusL2LcsBs37Lc5/Ysh6ycKiX6KY3Yr6w3uD3L +LSvXKqUcMMrteIsjeonlGmC2R1EOmO1P1lvcnuUi25v2/Q9+V6klovc2bq+q +HGV7kvUil7NetHI3KifZfmS9af2iTXR+1iR8as9rlR+tfmwg/43aoyi3/k79 +3XDLzzlUXkj9x6U+77fsOUir2Jn2Pj/7ddvJbzRK9IP//mh6r3mU4APlkEuQ +99avNEv8SsCXPT9fLOe+dt9bI3LAvptbKPIXfIx1s3qnXvgQehnfB/58f1lS +bv3/qJ8n5fg+yoEn9vvY86nWiB/Hvj+r96N9mkH3eWIi50Ev0JeWHqplHawf +Tu+TAc/2PYI6+a49V4kJbOm0hb7bQnqpRb5r/Xsa/27fd2qJ3FOw55ctKd/l +8Ou/Vu7Pwo+I+7CA/XByBPbt4gL7dS4R2NNthcD2PSSU1wnsx1lP9RsFtudo +6v9Dvl+fduLHNOE3m6bJvtDPS+PkkG/XKY3WMZPWLVtg2Ef2PEvjRmG/2HMn +juusJTpIUP2GX+24+PzR2t8aR41zS0+PrbJvt+fxayQfctLPe7ikyAcdoH++ +JwG6sOeUa2h+a2jcLSnm00Lz1vciQIe2vo4D+xOLD02Rb88V20guav/8XgXj +4d/Pk+Pe//PzYPxsCu/MX1ZPp0f6wzihB+y8O1L2a8fN8+oU/z3eH/T8MkP4 +yJ6nTpPU5i8SPvPNF4s+RIp8e77FvyOYJynyfXu9xw897b+n8X7Wrte4Y+ht +2BH2XLeU4pIrxR6GXWHPeTVOGXLAf79G7AykyPcpxynr70EitXZsQ8Q+tHKl +QewSpNY/0ER2ZhPZsRpHhBT5li/1HQDfP35/vFs3pi+mS+hT0JOVt//fx0kw +X22KD3g+4CvEKXg53S72DvjD+juyKb5Z34sC/Vp/s74XBfqz5bWRd5og733/ +kwXP9t0Z3IPT93Q8n0ff6fHtx5F987rA9vxS7RCc99nvoVzrefusidop7Nez +ib6H94OmCuzJaDqNM0bzWERwnsDerlsusF8Ptds8vgsJXiWwXx+G1a7z+FlN +7WtoPgp7Oquj+dVR/2oHej6oJ7w1EJ6xz/iAxjExgt//7jpt6ju+fI7AeL/U +zn8J1V8qsKfTfFpvhouov2KCy2i+DFcKjPdGLT5qaf4MJwhfiU3SrZ/XbFrX +mb+Yrn37bML7Yqqfmu5Xuw+spP5W/GK+8PUV74jT+aV84+dXSv2VUv3UfOXX +tZL6++V85/FdQ+vzy/nS00WC+vvv8y1g6FH7HtsntD4LaHzLaH0LiB5KqH05 +4Uv3o56Olc69XNfxw16066Pxm0iRj3hN6FGkyIc+83S6UOxLn58j9qN9F0h/ +R9DageVk5+k9KZ/q73bDjwH7y757miHj8XCMxpNLfpU4jaeExlNB49HfW7Xv +Ies7C/YdyCmitwH7cTwvMPQ4/BWQM/7zOSI34K+AHPDzLxG+hr8CfGrfc9b3 +mcFH8FeAL/B9yEHAkIMYD+QcYMg5jA9yDDDkGMYLOQUYcgrjhxwCDDmE+UDO +AIacwfwgRwBDjmC+kBOAISdAP7DPsD7gY6R2XWMU/7NQ+BypxWuu0CPwBzmA +1K67vutj179AUuSDfkHPwC/kCFLkg75B78A35AxS6wfT3x0G/iGHkCIf/AF+ +wXpATiFFPvjHvnNRL3IMKfL5d77gb4Ocw/4A+yF+Jw1xhlZedko9pHYf1SJ0 +8mvzk1o/YiudI2tcP+rBb+XxpSny4aeB/8Pnt8t+qpv50981tvpG92vY7zDe +0B58Av6y99Ynk100RfAM/gPfoB9+F8baPQtJ/ucQH+XQvXT1G1s5WEL6rUT6 +4XdlrF6Py7qDXy3/ldD32Q4oEToB/1p+rKB76Ww3VBBdVQsfoh9+t8baSdVC +h+Bv8CX64Xdt7Pe13J5LNBPfa7yX/b7GKXg60PdgkA8/F59Xe/23hPxXeh7M +57d83srno368fJ6p7+nAv4PU7subxb9j/TzNwnfw78DvCb5GinwbV6T+EBsv +pL+zDj6H3Qf+9fSm/mmfjhL+hT/W+rX1/Wm0Q759jzx6/sHjg/xGf7z/tfeE +ov4H9sdyOdrB78F28a/Fbvf0NYP6WUTj1P2hn6/u5zyd6/7NxuU1i//NyrW6 +CB4BQ+7b+z/NKeSzyluWnywPWb6xvGL5w/KE5YeND9V3pHy58hdSrmd/D6CZ +1kXj9e144XdTf699X6tB7pmiX35Xhv0K/G4M+w34XRj2C/C7L7zv53ddeF/P +77bwvp3fZeF9Ob+7wvtufmeI/Uy+3hIa51Ki33waRz7hqZj0mPqZ+J0hn19G +dFVFeqiK6FLfGWI/E78zBD+TpWN9P8b6YZVOQDeQZ9Bvfp3SBLb6MF3iquy7 +MZkCI0U9xEkB776/bIGRop7n8wLSn/kCI0U9TxfFpF9V3yJFPRvfCf1bJjBS +e0+8StYNfnl7X7lK6tn4TuhvhZHa+CPV7zgXAmz1foLWCb/jOJH2lfxO/Fyx +i8EPtp6+E4/18OuaK/yBerAzbfxjvti94BfUOyi0K6FHbByk/u4X6sGO9ONY +JesBuxb8ZPfx+k68jRPT3/2ydizf51O/C/gN9WA3Qo9hPex7BvrONv9OKvaF +OC8Df2J/Bf6E/Yl1gb1g12eB4BX2AvAGewF4gb2AecNesP6Mahm33TenfkfT +xp80Rs6FbbzoDOF36BukoDfwN/SNjfdcLvwMfYPU0pOe6yK19KPnuEjt/U89 +t0Vq6UPPaZGCHsB/WC/wF9YL/IP1An9gvUD/1r4rk/UC/WK9QJ/W35EQ+w7j +wLgwDozL0s1SGYflW+bLcuI75SuMA+PCODAunCfz7xnxeTPyUc+eQ8NvrCny +/fimiTwE3SHf08lU+t3EaVIP7ZCPemjn0yyRn6Bb5Pt+YuSPy5J6aId8K3f1 +vXHIW0v38HfmkRzIk3pWTueRnNb715DP4Bvk+3Zx8lNoPSvX4yTX9b425Dn4 +Dvnwu0JOIR/1rB5YRXpA73dD/tv9BuR/hcg95Kd6h9vqDb0PDn0Bvkc+/L6Q +o8hHPbRDvtUzen+c35FGPvzGVi+lfpfa6iW9b87vNiMf509Wj2k9focH9dAO +ct/GTWocCfQA9AL0nu+vU/ia4xDhB4T+Q/wAUht/pH4J/x2NP0GKfOwn4Vf0 +6zJc/BDwG1i/g9qxHs9z5LyE7VacU/vy7Iid6vPz5TyF7VLfD+7XFkXsUJxT ++3qlEbvT4xPxh5UROxPn1H7cNRG7EufUfG6J+dp9fyaV6zkz8GH9FXqODHzY +9rpfBD5sf7pfBD7svkj3ixYf0XNc4AMwzxf4gL8I8h8w5LUtzxMY8hAw5Jf1 +Q1UIbOWMviPq9c1CqpcjsPVrsN+W/bDsV2U/KftF2Q/aQt8ZLr9niHwbV6T1 +uR78HujH4nU0tce+WPepvp366aCv/6f9VtjHWrpSP51fP/U7+WGqP8Dek2mm +ey3NtA8E/hIp8QK/kq3fHPFL/m+Nm/1iHHdmxzeOxjeLxqP+KfZHsf/Jrx/L +D/YvsXxIiLy3ckHjkCDPbT8cZ5Q6jmjjcUMcJ9RA/asfxu4n5ojdjnH6+qp3 +YLfbcapesf6mSrHbMU7Y7Rin/94HZD/r74jbceTIOKw9yb/zzb/jrb+TtfHf +4db9NfbT0PfAH+wPe97ZLHYH7A17D1vva8H+sXJU/f323Y3J1G48wTOkPusV +S+ca/2rvyavesXyg8bG2f9VLlk80ftbeg1e9ZflI42vtuU/0Xj5g63fBeUsF +zbeS2uu9fNaLlk81ftfON3qP38INNN/oulo91Sp2re1HYZyjoZ6lo2g9wPC3 +Gv34aEiXy5rJTzpL5DTWHXIa6wo5jXWDnMa62HuRlSKnLV7ZnzFR6Nqvx6Tw +e5+K/IGd4u28+WF/6t+A3eLzl4b95Yh8svEmBcHBrp36P2DX+P6Kw++pPwR2 +jh9veYgH9Y/Y+JGqEC/V5D8P5coHoR+2Q+WdiQ/pCP0WJ9TTOV4jvW8U5j8a +xoUsUzvKzwe/L98i/gRbHpNyP78Y8W2ulGM/b9vHpdzjLU58UyLldj+t8SEo +t3GWGi9i2ytfYl+KcrsfnRGZp5VfC2nciyLztvPIkfr8zgjwYOVZnPBeGMGL +lUeKJ8g/xpOVC4o3fpcEeLPyoJrmG8Wj7b+O6ELLbXxEi+hFu04q3wyd/qz3 +/+26NdH49X1M1PN4vofOtVTPop7Nb5J82IGwa+x3xkk9e36q562AIY98P7NJ +/mSTf3UlyRe1h3y9UpIfag95OqgR+YD9o/VXtpBfs0X8khYfTWRH6Pk25mft +Cv3dLNSH/EV9wKgPvWH3XTlSHzDqQ6+gPuQz6tt9p/4ul+2/hPovkfr2XRs9 +f0d9wJZOqqQ+5LmNy6iW+vbdGz2/t/ujWqnP+xPIe3tOXy/nouAT1Ie+RH3A +qA/6sPtp1Q9er+i7K5CTtv9ZUg65iHJrBzaRHcj7oyay+3i/hPf0V0m5teua +yK7j/VQT2XG6v4J/nvkZdhJgyCXYR4xv+OXs/bVZRO+zpL6fzxKpz/gCbOeb +L/UZf/b9Kj33R33GJ2Abf1Um9Rm/gC09VtF8K2m+lcQftVIf+Lf0VUPjSVD7 +hODf0q+ul41X0fXx9JVJ659N9JZP+C4ifJbR+CqpXPkZ48d4sC/0cicjGHHD +Zg8emTtV7I2eZ3zY/fBt9fdZLitedkFmP/09lpXHPpg7fmI8tMtLgnX/3Gbt +mgH6eyu9s0fvevKKiuCKKW9d8uiG6uDWus3XLe6nv6fS/4iaT28aqvHFsT8e +/rvnYvVhf43BJfffU/hpj6bgb18+OnR95rjg88t2Th9c8n5w7j7brNxnwuzg +7oviTRceNye4bf+Jk/d/KDv4cdZ2c2ed2rWPnrr8u6nvrAwOPmT3LcYfnR/8 +fMDQ/d+/vig45670Q9dkde2jb+9xVvu60uCOzwedf9LlZcHZ08fcdvxTlcEr +m+Xf/XhzZXDCz2+cPb9HbXDVwVPOu2lQbbD0wNqyxOBE0H7u96ufHZEIrjin +7+1bj20IHrnzjLs+XdkQtN5+709HNDUFO746crPCPs3B4CeKX/3mhtYgb/Gc +ly/urynyd5yx5YEPDG0Pjlu9zyF7pbcHi7vd8vlp6zuDceUXTn87pvdBp333 +wpppc1qCf/UYWntOVzp1RPrN596yJkA+/O+AS0M9Cvg2t3AdwSlD9+36TnOw +9e7J72qK/Lwxye+3Bm8PSn6/NZzvmnC+a4KqERVZT/7lteC5J+9Y+Mw1Lwa9 +d/DjueuLl3u/uCg96BXCt+Uv67P55BlS/sGKrVdO77VAyh8d9uxlr/5zUbBb +CHdef2Sfc05ZJvDSnp+OPfi95VJ/9Hcf9b/jqAKBn72o5cuKIYVSf/7pAy6b +sbBYyj958x99Dv5qlcBNzy8f+vOl5QIX1G436M6nV0v73xRfN/acxiqBh/XK +n1wxskZg365W4O1P2f2MbiV1Ak84NnbvHVvWCzzm2iHFB+3bIPBJV/TYatSF +jYKn3oSnXoSn3oSnXpvA026bwFMvwtNu/0k89fofxhNgpEc/kaT3JkmRL3j8 +bPM9Hhj9SpD7z8FvznijWcqveW9M34qaVoHBD9YObpb8jwaXdPFlY/Dg+swu +PtUU+edsdVrWlmkzg/2LH5hUvOuM4M7XFvV97atFQcWP1+2zod+iYOahLfce +useK4KCXnrz5pUuXB5tVjqi6+t3C4POXB5fuOLAwOMjJodKgvKzxxytXrArO +dnJodbDByaXVwQlODtQEOzu5UBMsdfKgLkhz8qAulEMNoVxqCPmyKeTTpmAn +J3fag3Ynh9okRX7azKTc6QweeSUphzrD+XUGE938OgUPXq7reybIh33++Fce +fuL1ma1N/dqCPpndHu75UEuQHG3j9x8HF3SNdkTNREmRf+OC47Y6/y8LglMe +ff3Lm0+eLynyP77kyouqnl4WNBasOf2shUslRf4/1p3aJacLgt2O2bZLbudL +ivx3BxR0ye3iYOA/3umS45oiPym8coaVB9cv6vfSI701RX7D8q9m7bJddfD4 +dgunLplYJSnyn+pxZpecrw0Gpx/eJfc1RX6f/i904bk+aFx5TxfeE5Ii/7pY +cv06gn5DkuvXIX6s3f565ttHdMnfP7vytqCvK9cU+V80Jte7I1gwoqZrvTVF +/pLHbu35ZvbkIPnVlfd8Kiny0x0eFwYNDq8LJEV+9/s+ii0ZlxMUHTB7wxZV +yyRFvsdjQYhXTZEfc3gsCa5zeNUU+U0OjxXBkw6v5ZIif9vez3TxS3Xw0eWX +dvGLpsjfzeGxLmhweK2VFPmeT+tDutYU+T/sNWnt0R81BlOeufPnxx5slHv/ +D87r/u03YzqCrP5VHyz9+6fhfjdd9pG7j3jphM4fPg6G7XP1Pd0XLpD9JPaN +K+9dWvJCF/0umPxY5usNy2T/iH3iC9Uv5WQ9sSwY8d4lw3ftwhf2i9gXHp33 +zHFXdtHvpNb68dd04Qv7Q+wDL+u155VpXfTr7Sy8J1Ue0k958NC1nzzc1kW/ +3u6qDvPVjzdmQpB2XBf9bpu44Lm9mjhesja4/ttbEvO66Ped37yx1+/66+8H +vRju49bulXF/oot+j3R2WmMYX673umq+eX/d2us1H/WQj3q/dwNvCxJvZd5U +OLgt6Pj7nVdkNTQHvUL54fHWEkx87oUjLl6vfl5v/8G/0hac/FnJvPu7+OHW +0K7JLdz34re76H+3sJ8/H7Hjnx+6+dGgl6OLzqDe0UmHpMi/yvFvRzDM8W+H +rPf6gZ/Xbz18iqxvllvXhbKeA15Zdv2fttB7qulu3fSe6gq3TnpP9Uu3LnpP +1dvDek/V470uxF990M/hrz447v27VzZfsFDm9eTxr/X5xz05AlcmVk8ekVsg ++Nv6yLuKV15TIvBvH9js+z5ry6X+BfNf3WfI8GopP6n7q+9dtm2dlC85bPWx +wy6tl/IbLjg4e+w7jUHvEJb36EJ9sEuYf8V+M9auOLU5OPPUFdv97fN3pD+k +WT/cfu2krxqCbV98ZcLAPZoi5ecd+n3vd4JpArd8uP9l15+ZJfApJ501dt0t +eQKfetP0e2PZcYFv+PTsN3tcuUrG+cQ3ZXMGt1VI+eVufDUyr7Yzfx7+5dN1 +NI6GYMPh6WN2OWF8ZHwfVZ+7w9ELddw/hPXQ3yuz9rmh341zpXy7NVOHTixZ +IvCnp91eO+bhfIHjz/60ZdMOxYK/DfGX+/ZPK5P+9t/rwIuGHlcl9cdklJ98 +w19qBT5q1YF5T32cCE4jvK37L+IN8IgUeAPcRHh76NZzevUpqBe8TzvlwzMe +eQB8mi4w5CVgyEcLFwgM+QdY5F0Iw78FGPIMMOQXYJz7A4bd5/ezuo9CCjr3 +/eg+yvNnZ8SORL92vl37NjP+/2BPUf3pof8KMPxVgOGfsvgtFBj+Jzu/1dRf +jcDwg//a1sWXd4T6qCNY5/SO3o9FuZeXneE6/Qc8Xpe0l7rs1EVJe6lrn+zG +0yr26sVOj7QFGWE+4m/GO33TGu5PmiP7j59aDr78gnXvBfVOb3VE3g06xemj +jtCf0Rh86cbdGI5Tf88D/V3+9InrP987Q/ZVHZedlnXnsTEpP6H5xp6bXZEr +5cHcRZPOPTUu5UO2+tPKUfklAj/t9nkVAqe7fV21wC1rR+wz84w62S897PZt +ug/r4fZpjULX8Kei/qjdrx70h9MzpRz0ifId3o03zVycLeWgV4z/z0d/0/+8 +1pVSDvq1+8wiKQc9Y3xf9R13w8zdy6Qc/lR8f6/7jhnR7eNKGp/uS8e5fWYt +zU/3pf3dvlLfr0e9/Qc/OvSAtzKl3tngj7D8ioH1Tx34RbaUw65D+aU3P9lU +vm2+lAv/hOUPTt6t50FjiqT8ZfBTWO7382VSLvwVlvv9fKWUC7+F5V8sbpzz +8+G6Hxf+C8uHtx510UH3Juj7Sgc+v4HKO0P7rjN44nc//GbrIRpPiniRTw7+ +x/fXDNT9+SX/PO/d6t3SpZ9Drrt9xQ/vpgmcOaTzhn8VzReY8Z6Wteew1dur +3wN4B/184+ijQMqBd5T3dvShfg/G+yDHX+XkR1G83+D4Tf0ejPesCeu/u2OK +4pnxfnneoJGjvlc8M96bHH+y36NB5BbkmPfXtYb+On231u8fW4OFzm+q7we8 +4/x47cFy59fTd2wnOHnXHtrV+s4t+uF3idEv2vG7xOjn3FAeb/52Uk6q3xH0 +BHt9a7cP6Qj9Pa007xbJbxv94oBzLn5T9OaygvP/cfBzYyPvrqLenW8dXPRp +D/wuh76zuu/zB3bJZ01F7xs9lkb6NZP0Wjbp93zSr0WkN8tID1ZSeS19D3Fi +7SSnOiP2Sap6Yk/PWdn44VWfCXzH3SMHNhR8LvClj5fGBvywQO24nNuannxh +scATd9nQY8W+OWKPLr76pf69M1ZI+ZfOXi0Q+HlnNxYKvLezX0sEnuTs31Kx +Ewc4O1T3JSucPVwp8E3OLq0WeJizM9UOXej2E7XSXw+3r0jo/JzdqnZpg7Nb +G4M/bLhw2DPbzJN5te94/ojLD18q8NsXf37z+vFqp897+7yRg04uFrjO7bfK +BN7c7beqpL33g6mdnu72DQkZx/Fuv9UY7Er7i0+P2m7i5ge+HeS4/Vez1E+4 +cbcKPNThoV3abe3mvUbKg+09/+zh5I+myMc4T3DjaJV+8tx326X8Wrfv6wz+ +VTfz22/GaJzWGUXT6+at5Hd2m6Qe4gJv3vucLr3QHnz+2/P2/l1/fV8WfkL4 +DfG9Dx2e1gT93b6mTcYVc+us+3rU38ml+i7rhV97Ptjiyr2++KRtlvJvaMc8 +l3vEew9c83mwbF7G727dIzvMzxY7ZodvZ791waWLg14Xr3ruh1NXCn/Djrni +ueq66gdXBJ9+saEl++gi4XecC/9x+813O3lFYVB4ysvb77ioVPgfdsz9f/rX +KcOvLw2+fuKAY6+8vFLkAeyYt8Ydcl3uutXBi38t/+3F6/X9U9gx1fet7pK/ +NaH80vsHsGPudnIvEWwx786/Fg7Wd00zPrv9j2+P0HvuyEc9yHHYtbBjYdee +My6pN5qDAwck9YimyF8X2rk2rrpB7F7okUtCu/vD0M4+M7S7cd44tunlT/Zc +on4XGz8XC/ps1bHvfs+oHwZ+mfLwPPL6N3e6NePjnODUXj+9eOxPOcF+P+79 +0zaBvs802PnP1E9jf4elJBjq/Gfqt4EfB+eX3n9WIX4c+HUQnzRvbUH2w+9W +B31Cvw78PC+H55seT3Xi54HfB+edTzo7Sv0+iJ/Aub7Xy43BgKfmJ0bObwy2 +ePTpR2Mv6ftJ2CdhX4R90vDQr3Vx6Oe6Pub3Rd7/3BIc7eyIjmAnZ1doivy9 +c655q+eDLcELt3x59p97Zyh81j4dQf9YsFcIl5SefkJ8cK6WT58aZAyMCzzj +p9/f+MOKEoHLzi595swbKqT99y/f9skLX1ZL+Y53/HRL2+l1Aqe9cvYPO3Tt +VwAfN+PlF44rbgx6Oj9elxx3fr1mSZH/yMzzDj95q2b5Dto/8vGYDa80vCdw +/Pver3QMyBR46kuTd3o2li3wt/sXX7Vn00qB9y//saDkqSKBf3/gS1/v26dM +4Ftu33/PWydVCpxdXrbvlfvUCnzFzwdkPHxzImi4J+vgx97V7876w1ZXX7Je +v7v5Xa9dck/PfIEP+fzQBzPH6nfP2Wz26O5H63fvOu/8BRdk6XeXnnvXPbl9 +9btX3fl597Vddifg9lGbvbHr3AaBz3Z83RHyuabIhz3o6bU19A9H/R+e/keT +vTSZ7J+FZH/lkL+jgMpLyH9RTt+rJj9CLfkZ6sk/0kjjmUV+jsX0vRU0nyKy +/0qpv0pqX0PlCYnLsX6cJdRvPrVT/8ttYVyMnWcV4aWW7NAE4alBYOzjngz3 +dZPcuUmXfejOUTRFPugAdOHllN5LlLiEsP/inOIHPj7gjQH3zyroV3bJQ8GT +Tct7ZuYPCV44dm7RQ3s/Hgx67/bfdDY/Fhy8ov60588bKe2HOH/QmqCn2zfo +e0VI853/f420Qz/IRz0vH6PvGyEf/jw/r+Zwn9sc+v2agzVOzjYL3aMe2qEe +2gG/3p+lKfJxzrR+4IadPrz1o+Cdpj889mj1xFDujw/yvryt48+r3hcY9dAO ++WgH/0XPrLP3/ObhecH1fe66pP6k+UJnw8b+9Ez8uDkCox7aIR/t4A9c4c63 +lobnX4hHXxqMqH3/hR9OXSIw6qEd8tEO/pGeT3y9w46L8oMbrlhwTe46fYek +6eQb27KPVhj10A75aAd/Sn93flYcPOnO1/Sdkh6uvb5fgnpoh3y0gz/Tn7eV +BeOdvVAufHaEa18mMOqhHfLRDudwDzj7oiq0L/SdE2+X6PsnqId2yEc7+HdW +OLquDR5y55b6DspAZ78pjHr8jgrawR/k6TIRng/qOym+vcKoh3bIRzvEuTU6 +e7IpPMfT9y4Grlx95OjxsyPvWwy+7PYbn02bGTR+t3NN9YP6vsWdYbp+zlU/ +lHy1KDhq5ImH3/POSpHHSAde9OiZt+6xIhi0Q7+Th18ffd9ikbPPCkO60Xct +kHq6Kw3PZ6PvW3g6XB0MdnZs9H2LPk7u1YTzjr5vMcnhoS54wOG9TeKzEP+8 +3OG5LcRj9D0H5KMe8s95Mnn+3wW3JM//ER/QFswf4fPHOTndFjzm5HYbxfXp +Ow39e5YHp+04Negz4rxtLtlV33v404cZY+fsMDXIeb/6qZHD9b0H1EM75CNO +EHa73x9lBTc4+zwWxg3qew9f1T/85t1d+f1u3HVkaYO+94B6aGfz8yLvNEzq +e0LGmQW5wdibO1+/4FJ97yF4MK128678oV+fVHzbtlof9dAO+YhjxL7Br288 +3B/EQ/tf33vwcQ3xMM5B66Me2iEfcZGIk8R9sLFuf7EqPBfW9x4aXVzEquAJ +Fyeh9VEP7Wy+vu+A+2MxR/8VwQDHH/reg4+rqAgmuDgLrY96aId8xG0ijtPj +qSY876gJ4zj1vYcln01b92TvmmCng/L2GpCn9VEP7Wx+9J2Gp5yerQvjQjXf +xy3VhXaJ5qMe2tn8+sg7Db0d/9aH/K3vPQx0+6D6YFu3L9L6qId2yEecKuJW +IfcgByEXke/jLRuD0c5P2xj80+3XmoOr3X5NU+QfENpn3h+LfZ++P2n9uO1S +D+1gZ8Huwr4b8gD7bPAv9tXYZ2MfDf7Avhn7aOyTQX/bbbn0lOtfrQ5ee3nk +8fd07e+wD8a+GPterAfsNNh5K748eMH8NXMi76LBjunn9MES8c+yXeL1QfTd +M9gZXh+oP4ftBm8X6HsSbAdMdHo++o4Z9Lpf7+i7ZdDTXg9H3ymD3j3u4ENq +xte2yv7Mxk220Dm8nlsOded7ui/DOelXLsD093Iu8vUx234zsupJ8at9/tZL +2xZ+PUr6gZ0Lu5ft0vrrdj74xWGNwXXH7HxQ90mNwd/LE4PTD/84uLNLC/U4 +87Og4Zlr9tnQb0Fw4zZL+r721YJgmz2H3/zSpcuClaPb7j10j5wg08mdguCH +3ZJyqCBY/XbDj1euKA4OuWmPLcYfXRL8lHhw//evLw/O+fTjQ9dklQeHuni/ +quBmF+9XHe5Pa0N/VG1wkvNr1AdXOD9HfVD2UZJ/GoOftkvyT9d+78vO57/t +wkfucQvWPbeZ7lcRZwQ9Cb355y2r+n5Yf47gH3zm/TTtEg/5YKjX4Y+Hnw14 +zHNxqXreusidF6n9j3Y4F051Tlax8Kr+L9+XIedq3Xt0DC7baqaU45wW5Sd+ +efEN5dfGBM7pPfrLnyZo3DXObVH+yFMPTLr9CT133nnS/IGv5EXPcQE3uHjh +uLTvt8+62CsPaVw2znVRf1sXP1wi9S9253SlAuOcF+2PdP3pufb97txO47Zx +7ov2H7nzez33Xe7wHj0HBjzAnTPpOfB1Ll44ei6cah39OV9DZF053hh+chuX +rOd9l7rzwaZI/uPunLBJ5od6KD8+Se/PNweXJ+l9bnPw477ze+y+ZXpw/j03 +DRq676fB+0sP6zMld35Q4OysBcGo9qQdtCw45PGkXbQsuNfZLQXBVGfHdMn1 +rZN2RnGwOp60O0pC/iwP+bM8KHX8WRUc4PizOng0yS+Ta4N3k/xSWxvsnNST +3yWCY5J687f1wZzL5+zVfWRjEF8+8v795jYG7dv6cR++/LERlX+dJnD5t8l4 +h6xgTi8PV12XjHvPk/KZ2yfPX+NSfvLpyXiHVQJf+Xwy3qFC6u/yVfI8tUbg +D3dPysO64Iw/JuPnF0r+qLokf+QIvOMfk+e6BdLvsW8l6btE4Gl5Sfotl/qP +/DZJn9VS/uhRSfqrk/Laa5P0VS/laQ8l6UfxgPzDXp793pKOx4KtPkquf7Pk +zwvToDU5n+agaPzUS2/a8x1p/1pekv7apH5HepL+2qQccr3TxVnWB0PCc0Hk +P0Lngk+E54B87geYz/lwrpfqHI/P7XBOh/OqD1xcW4PEwaHecHc+1BT0dedB +TXJuZP2BGQTHyO+VS+VxOs8tofoV5BerJr9aXVD6Rsk1O3fpge3OX3VMcW69 +wOPu3m/xd7s2BZdtt/9+i/45WfL7bJj9xb3ZTQKvnXrY8r7HKVwWpke9duuf +9rm2IRj0zN7ffFU0QfJfePf3t17+3iyBdxiy5OFBXy0W+E/r27JX7r5S4MFn +bL310fsWSf9DR759xLAppQK/U3zExVlnVEr9O16qPmWrtpqgNoTXufElpP5L +pX+/7qKHG6Qc+VmzMlpOn9AU3H351DO322G69PfIoEfa+nycJfDylWnHpefn +CbztlMS8sd/HBT7y+/sTTSNXSb8Xu/GvFviUsy7Ybe4VNVJ/5W2vf1T7Xp3A +17nx1wv8r5qxqzuGZYi//5XN7ztxmyF6TlH1rzcfGz1CzylefbWq/vXL9Jxi +5uq7t6lp0nOK1Qdv0e/wYRUCP+rOE2oE3mX1q5nXXKTnFO93q7xg+Jt6TnG8 +s98aBUbaduDtZ6ZNbghGvbP+kJkfp0XK/3nO9JLs75pCf31TpNyfJzQELf12 +v/vcgvTI+caV7nyhKZh++NGbnbjdTCk/8NC5y45MXyTwHbNqd16wcrnAFW6+ +hdLPFu78oVTgg935w2qBx7v5Kj5OcvOto/OHBul/rON3Pc89zvH3GoG/f+jY +e09a16V32/P7/twFX+jO8duF/5vdebjGORzk+GuN0OeE/bs/+eYOrUIPjzv6 +7RDY01O7wHmOnjoFznVwq9DfNY6+tP7aptaTfjOhPRi53dNvP9cFf+H4ZY3U +H9HzuNzfru0Mng/Le7nxtUn5dDe+ThnvgGE7DH8rt0PqZzt86bnb1W791+i5 +laO/dj0nc/TXSec7bVSu+4fvdj3j+MFdadEn697ru1bl7UR3/t4mcQk+PkDx +fI2LB2gVPfC4k89rNI7C6Zd2medDh744bvJwxWMPJy+1/F0nL9eQPFE8XVr1 +wz9uXtshcOPmv99+5MmK98GTTt7x+Ye1v3+673VKedOK4WmfZeu6vu2+1ybl +3fv0WvLtFW1Svth9X8fTz8njDqk/ZuC1V+6d1iF0fLXjrzUCe35VvPd055e6 +Lv3deaWuw6Ouvq5rluNnXfftXfvWyL3O18L7nyUrk3Zgm9wHvXV90j7olPLN +m5J24xp5T+I657dtDvevzcE2bn/dHNwVS9oPHdIP2qEf5O89JGk3dwSH9E/a +N+1S/vngpH2j38W+08YLNkscG/Kxz0Q+zgsB47wQMM77AeO8EDDOC215icA4 +L7TfqxYY54WAcV4IGOeFGD/2XSiHH3s32mfZ8S2O7KtQjvvxu9E+yuKjKLJv +Qjn82LxPsuOrjOyLLH5qIvsg2z4RidOEPwb1OE4T55koR5wm8AB/DMoRp4ly ++GNQznGaeBcA5RynCX8MyjlOE/4YlHOcJvwxKOc4TZzjodzen0wjetN9/urQ +n2XXdwHF82UT/jXuGP4syx8FFP9cRPSnccdnh/4slON9EZTDn4VyjjuGPwvl +HHcMf5blrwT130D8pu8y+vNYlWuQQ95P2BH6NTvCuPVo/CjysQ6IG0VcKOJE +Idf4Xj1gyLVNyb2KMf6eMdpBruLePO7R49487tEv++o/roe+b4M4O9wzxr1j +3DPGvWPcM8a9Y9wzxr1j3DPGvWPcM8a9Y9wzxr1j3DPGvWOsE+LIcO8Y95Bx +7xj3kKFXoGegd7CuPl5cf9/N3yvU98ex7qiPfNTDuoMO0A/6xT1OxK/hXiDi +jvF7cd5P3xn6yTlf/YG4h4h7iaiHdugH+YhrxvdwjwXxWN4eVjvd+8NB/y2h +X1F/Hw736nh/jHt2sL8q93+z5yeXTFa7OsW9Qamf4t4g6uPeIMpxbxDluDeI +ctwbxL4e9wZRv/e0OZcFD86S+n9u33z90TXqZxj7yKGDFnVfKfB9Wx9yRvqu +RdL+LReXq36GBS4ut5L8GzVivz7i7NOE3MtDvV96Lw8w7uUB/7iXh/5S3cvj +e4+A+4X3Juzv/SkdIG7+3JDecI+CfycMdIJ7ALgXgPjbBY5P2uWdFLybgndK +8G4J3inBuyV4hwTvkuAdErxLgndB8E7IftlpD9/y7L3B16+f88LatU8Fv2vf +8NHAgc9IXL61L8aLvVx8auysg7ZNJ/00V/ii+5mTpp+wYr6Uw45A+VnTvnv/ +kx7LyP7ROLlzXDxeAenPYim/1cXnFZP+0jg6H79YTvqpSv0ELp6xivR7rcyv +1e3vWT8maH/P+lHj8Ho4+78xeNyt15rgardea4JhTr6tCe2HNYJ3rAPwjnVA +O/SDdugH9GTn2RrSY+p8ocPwHQO8azDWvS/RHAxz70toinzoNy/nm8O4hujv +cSEf74HlOTneHJSP/WDlmFs+Cl4YuPPYQRd+KCnyoe+Hjp315xMu6Mo//ZIb +zlg7J9j8vj2H3fvwPDlHxLmifx9oSXDO+cdsdf5flso5Is4V/XtB+cG5Tl/q +OSLOFf37QUXBne79IH2XHueKZ7r3hMqCF9x7QnqOiHPFv/101EuP9K4Kpp83 +5LWcYXqOiHNFr19rQ/2q54g4V7zKrW8i5Gs9R8S5oj9n1Dh9r7+bQv3dJOfO +OIee9t38gd9f83lQ0ffZy/q2zZJU8kP8NQ2d/nUyzv6jSa+OTsbVI87e2yOL +g8+dPZItKfKB3wEuXic7jMPQ36/x7zetCH5y7zetlBT5wL8/310ZNLt4If19 +mwpn7xSG7z0VSYp8rI8//y0K47ULJY7fr3dp+D6UppIfrp8/Hy4NBjo6KJU4 +f08Pq4PbHT1USir54foe5c6PK4PrHZ2slvu67zt5i3dfNEU+1t/HE9WE8Qz6 ++xl+fRPh+mqKfNCHp4tEGMeg9wjwezfpbl0ny+/d+HVaGI5/WZC99IgT7xmK +3+suCPGI92hLQrzg/dnykB/w3mx1SP/4XdTacBx18ns3nr7193dG3HDWB8sy +JgU/hufKyeim5Dkzxol6GO9lLp5sfjAiPHdeEJ5DYx6od0c4n3UuvmypnEv/ +Jjynxjwx7/Jwvj7upiDYrrc/t54UnmMDD8AL8OHjaIqDo6/359rL3/Xn3MAT +6gFfnj7Lg8ET/bn3F83+HBx4RD3g09NjVfgOTnXQJzwnB55RD78v5O3X2pDv +a0M5oOuAdcF6fOToLRHeH6gP5b6uE+qtdfFnjWH8WWNwzDG5L1w9Vt/5RT7q ++Xc8tBwp2nm51hZc6eSc/q6Rt6s1RT7qoZ2Pw9X9Bd4dwTskyEe9GbVf96+9 +Ynrw8uQj+0zJnSr38hf2PzB+45XTJUU+6qEd4uQQN/fETpldcnNysMMuL3bJ +0SnBpEmlS3f+/Wfy/vuBW4yr3bwgK3j5tgHFt22rv3Pk49KyJEU+6qEd4uYQ +R7eto9uFQb6j41gYN6m/b3672zfmBeVuH6m/e+Tr5UmKfNRDO8TRIa7u0k/G +d8nlnGCPfjt2yencIKfXAWt67qa/m17x6vpZu2xXGLxydmzqkon6O0iefzRF +vtQL2yGuDnF2+Y5vCoJjHR/FgyzHV/r76j+vTu57VwXT3T5YfxfJ85+myJd6 +YTvE2SHubp3ju5LgMseHJSFf6u+zH+D0y+qgzOmXCpHjDa6epsiXemE7xN0h +Ds+/Z1UeDHN8XBHGnervu7/v7Kia8P0ulfsj3P5XU+SjHtohDg9xeSe795uq +gzHu/abqUC/p78N7v0BdsJPbD+jvKPl4V02Rj3poh7g8xOkd6eRGXWgv1oX7 +a/19Aq/v6oMPnL7T31Xy+q5eUuSjHtohTg9xe1lO3tQHXzl5Ux8McPJGf5cJ +dhDsIthJsJv8Pkrj+2GHwi7Fu132HS/8joL6/zvDczrAWyXDivosEPiiuy/q +fGDQMoH/4O71FNC9Ht2/jHLnluUCz3bnlro/8fd6dD/ymDs30nPJnd25UGNI +F+0hnWiKfMhVb6+3h/K/M5T/miLf3w/H+xid4ftcrUFvdx+rTVLkv+36bZPf +t8a+FfvY+x39dAQTHP1oinwvtzvCOLWOsP/G8N21BkmR78fbGI5XU+R7faa/ +I3lWmHr91yDrinUe4OisM9jG0Z2myPfx2J2h3tMU+f6+ZfT3t7wfqzN4wsV9 +tob391rDfVGr/C44Uk+XrXLPH/f+d3Xz7ghqHR7ag9EO3x3Bjw7f7ZJe4/Ro +u/SH7+C7GAe+g3poj37xHXwX/aIe7v2sCu8BQQ8OcvcCMoL3TlzVdOFx04Jd +T+i+cp8JGZIiH3rM2/2xUO9kBYOdHopJinzoof5uP5cbDHHvDOYF7wS5Xfu+ +XEmRDz3i7bJ4cLmT+/FgvdMDmiIfesDbZSXBg05urwp6OTleIinyIcefcnZZ +RfCOk7sVoRzWFPn9Xjhx3PRYdfD+03/ZkLNzTXCDo9ea4ChHr5oiH3LU03Fd +8KWjs7pgoaM7TZEPOej3i/XBCLfO9eG7hpoiH+9Ke/poDN81bAr5rFFS5Hs+ +aAv5ok3uceFcE3YR7CTQAegCdgzsGqw76AB2B+wQrDPWHXYC7AasK9YZeh16 +HuuIdYUehl7GumEdoTehR739rL9bCD0HvYd1wTpBL0FPYR2wLk/28HGrl6T7 +OFbgHeuQ5vhiTsgns4M+Dh9LgkscPrKDY9z884Mxjs5XhvMtCvcTReF+oSzc +L5SG86kM51MZ0lVt0H+Ifwd5faN/99jTUYL8b9NEv6RPeer2DybOkHJv32WJ +Ptrvbzc/euPQRdQ+T8pv2vD80q/HLCf/ocbprHL3hwvJ/7ZK2v/o7hOvIv+a +xvEc6O7v6vmo9xtpHMt77r5xDY1P41qOd+f5dZFzadbrfE7Nep7PrVnv8zk2 +2wF8rs12AZ9zs53A596wG2y8s56Dw44AnnEujnLYFWhv8Ttc8m8/bt0tPz/+ +ithNcn7s4oma1c8b7tM4fgDv/Mq5K/WDuAP0M86tp8I4h8G7wfLOVTjOVHEJ +s3cdl3nujq9KP/BLwP8AvwP8C/ArwM8AvwH8CPALYP+PfT/299jXY/+OfTv2 +8diXY/8Nvyr8rPCDwi96/NX7OT/ohKsucH5Rr/eWhnpwSehvyA/lQ34w1MmH +4lD+FYV6qSyUD2XBQrcvqwqudfu0qlCv1IbyAe/iJoJLnfxKBHc/tXTAE0+p +/MK7qoj3wDuq4Cu8mwo+wjup4Bu8iwo+wTuoeBcV756CD/DOKege75rinVP4 +H+CXwLsLeIcBdO/j7zS+Fu+Y4l1SvFMq7xeEdO3vu6h9y3SJlO8dgO7AN1x/ +DsX59U0R54f6/2/F+eGchs9l+ByGz134nIXPVQDjHMXGWek5Cs5JrLzoDPVs +p6wT2mOfca2jA5xjdARfODroEDsFdos/V9bfyfbvLTeHdK4p8r3d3iy/q4AU ++fb9pnrSb9F7BVYONWjcs4kD0TgpvLMGeYZzN9bTgBGHYuM6ZkX0th0nv/O3 +OKLHbVxLvtRHnBPrddu+iOZXFNHzgBHHYuNeSiN6357DVdJ8K0lPqd6Xd7pM +XE7ULrDjS1D/icg62/E0UNxMNJ4I9wntuPReCO6J2H71nqHFRxPF4Wh5clc9 +5I0JQXKXHZsySVLk9+/52s4fHPZxKJ8nSor8zva/TyredV7wj84zs7bs0oNI +ke/v7y4I8TBPUuQvdH76pcEzzm+vKfLHOP/9MvmdKqTI9++J5wfNzn9XICny +/b1cvPuTLyny/XvjxUEP54/TFPn+fm2x/A4WUuR7v35Z0N/Z3eWSIt/vP/Bu +UJmkyF/r9G5VcKnTw5oi/1q3P6mS39lCivweTn7Vhv4vTZHvz4tq5Xe5kCLf +nwMkwnMBTZHv9zf18jteSJEPPxn8ZrjfhnfVEeeGd9QR14Z30z09Fcg76d5u +KpZ30T1/lss76HgnAe+eIw4N75wj7gzvmsNe/cONx5QWL2gkvs+QezMvjvP3 +7Gx5TMpfqfP36izf58o9nP3H+Xt0tr3eXzrhLX9vzsoFvWd0RZ2/J2f71/tN +Fb38vTjL19V6L+kofw/OxvfVSf+Ja/29txnhOQbPU/YrA/y7tGiHcwieN+Cy +b/27tRgHzhEYD4DXfubftUX/OAdgvIg83N6/e4v+4cdnPAGu/JN/Fxf18d4a +4w3w1c/7d3PtfKN4BOzvmel9L/jBUc56Pr69f3d3bq//GN+q8n46yfnjT/Xv +8so9udA/jXKrZ7t1w7g/OKvF3fNF3BrqZQ/x94bRH+sFtL/oFP8OMvYNqDfi +Uf8OMsZ/WZ6PQ4fdcuXTyfhJvX+GdyrQ/orGpJ7ScrzTH7nHTO/94Z4yv1uJ +dypTvUvJ71Di3UnEqfE7k3hXkt+RBIx3JNEeKd5txDuOqI94NLz7iPzvbut7 +9Nf102R+y5bMumG7N/Td9p5XVU16NzNPyg9z8Xj6bvslLh5P322/18XLrZb6 +uW48eu/uOhePp++2XzWlR/6SxyZI/VTvYqL+L30XE+3xLibK8S4m8IV3Mf+3 +3lm19Rvo3l9Tynfc7fth9TRufsdc47nwzpqtP179POE9MPv+mcbD4Z04fieM +343jd8P4HTl+R4zfleN3xfidOX5njN+d43fH+B06foeM36WD/4Xv5TP+UY/f +kcO7hOx/QzneKcR+kN+Z43cL4VeQd9zoHUP431COdw3Z/4ZyvHOI7/M7dfzu +Ib9bx+8g8jt2eBcR5cjHOw74Lt5F5Hf6+F1ES0/q3x0d3rO0650l5a+F9y5t ++zwpxz1M+z6e4h33Mm3/qyL3NC2/Kd5xb9PSi/ovcI/Tjk/xvnN4r9OOr57G +0xB51xB8zXhL9c4g8Jbq3UHgLdU7hMBbqncJgbdU7xQCb6neLQTeUr1jCLzx +u4abwhvzM/apVj40pcwHDH2C3yGBvsHvzCwP4+Khl/h3XHDPHDDivHEvHXpS +7Ikwjh3wn8I4dsCp4tgBp4pjB4w4dtR/Moxj59+psXq1Re7Jb/83b1dI/DnZ +FTuEdoXEq/9CuwIw7AqMj+0KvDOAcvFX/Q/f0/+leprtANi7XM7vXW+cfhsi +v3tjx930v/Y7LzxO0TeOT9qCnfG+gqvfSvPWeeDdZsCXunuwbcE+ONcJ7X35 +3tf/cV+m73zzO+T8rjdgvEsO+sK75CjHvWSU4x4yyuFnnzVsvBsP31v2+OmU +ctyD3s2Mr1PseB/30CH15XcQzHqtIfy1EX12qr0QnhPY8tYU9NcSNO7/2RNz +u+CXlu00bXp7S+SdeIwb78SjHO/EozzVO+uQJ7h3j3kCj6iPe/goBx5BR6Ar +lOM8JNW9f7wLgPrA838Vr0zHco/avIfVEcE77P1/9el++fZHZgQ+jYkcqzpo +q8dfOyNXYF8eF3jWPk+1Xfx5CdWvEHiL3z69W9mKampfJ/D40Yv2m3xPPfXX +KHDee7+f8eWGZoHteGM0vhiNL0bji9H4YjS+GI0vRuOL0fhiNL6YjA/jwngq +QrmP8QDGeABjPIAxHsAYj+2vUWCMB7DFV5zwESd8xAkfccJHnPARJ3zECR9x ++T6+i+/Bz4XvAcb3AON7gPE9wPgeYIv/CukfehT9A0b/gNE/YPQPGP2jX/QH +vYz+AKM/wOgPsF2fOmkPvxvaA0Z7wGiPdqgPPxzqA7br0SjlsBM83tpEHgGG +PFk7IfsPJz7bITD48PWe83f/dkeVF292G1ZZu36K0P/b6497L7d0itDf2OY1 +N06fM0XoIW31pMPeHTdF1mt8/k3tzzw5RfCbnpzeLVMEP+mfV9x79flTZL7T +P379xLP6T5FxsHx4bVTtiVvsq/LB11P58OaId35o31zlw9tu/AtlPO8M+9P8 +ksaFMp6xbj4LZTxj79z5iQU5C2U877v5LRQ88DhYPlSPTQx57niVD7V9Fp75 +6KEqHxKjxh5y3+4qHxp6/nPrW3uofGgacWXrNRtyZDxN3U7Mu2RNjoynfdiu +n55dmyPrwHjgcbC8eK14XfbWh6i8eN3NQ+XFGxflf7Sht8qLN12/Ki/eXPbJ +c+u2UXkx2uE7LnTA68B44HGwPJntyEHlSeabQ5afNUnlydzLLj71d++rPJmz +82mfDXhH5cn8lf32O+G1EqFDpgNeB8YDj4PlT3Xt+i9eGqjyp9bhWeVP7Z/j +hU/2U/mTcPOuED5gOmQ64HVgPPA4WH51b77/6cIlKr+2/PDGb5cvUPn1myGX +3rp0VrXwIfMB0yHTAeA54ToArgnxAHjLcBwsD3d98B8vPn+4ykNPB3UiB5gP +mQ+YDpkOANeE6wC4e4gHHgfL20O/H3DlkXfVB1NDOYT8tFAOAG4L+RDw2yEf +AJ4X0iHgupAOAG8VrgPjgccB+O5zL9pl9kiV41vd+eaHVcVrBEaKeiPydqj6 +c3yNyHluh3zUs/o+TVJrh2SSns4WGP5uwPB3A4a/GzD83ba8lvR0guo3CGz1 +r/6uE/KBN76fi3zsCxh/yIcdzfhg+xp4Qcr6CnhCyvoCeEPK8hp4RMryEnhF +yvIKeEbK8gJ4R8r8inVAau24TqEjpMhHCrxaeyxB9m4m2YPZAgMvgC0eGmXe +dr0rqVzp6oV5V28zbtUnArcv/Mcfhr29QODjB4/7V8/5ywQ+7d66O1f+vUDg +G+fc92qf7mqvPrPlbz6/4fVygT++8K0uzaP2YVPua0nNI/DQtVVdmkftuR69 +Djs4665GKlf6nnDF1Fcm/S11PvPDyEEP3XXuRfcKfG3fkts/aH1O4NjJ05Y+ +MO9dgdcfe2jn13u98V9ux9+HXWrnr3zb67jbfn7qgMag/7Wzz+25ufLrddkv +ntPnbIWf2GH/O24oU/iyCeffedm/miLf+9tHpx2++yNTBa5sSew7dPx0gTc/ +9oEzYyfNFvilL+IXDNnxc4EfaVxUOTah+7+TkuzxTZbAOenX/e3L01TO7dhj ++7uzjlgs8NKHWg45eus8gR/ffcABN+y1XOBdT31y2lM3rRT4qjHHzLrs4hVE +P7rfqi/+bPrQ/QoF7ndL0U89fq9yNP7GbzdbP1vLPb2tEnjrfU8vj2UofMmU +vx542apSgb+umXvwoAsUznf96f7oCPe91QI/8P23Z4+9VeX0Hn3/eN6Iai0f +5uiyRuCJji4VXu5Shd89+e8zmz5XuKejf90PDXj4xwNXTlPY04XqgaMd3Sg8 +1vVXT99T+IvWVeUDX1b6yxq+xer+f2gIzjjipAXbTf1A8g//7JFPlm8xUeBp +p9x0T3raHIEPdebZPIHTjvrT5s33LxH46qS59txSwnM+rUM+4bGI8Fws8KlO +7qi+fPuM529v+kHhIU4OVQk8b+Ter/R/sYrmWUt4UNjzk+LR85vCqfiW+e+/ +y8f/tw4bX4f/k2v/J9f+K3INcEV4nrNxf3Aa+VvZvo1JvCPbs9bOjUfsX9RD +fCTbu9a+K4nYx6iHeEq2h2EPws5l+xn1EH/J9jLsR9jBbF+jHt4VZHsa9qa1 +n9X+Rj28O8j2NuxT2NFsn9t6UXuc7XXrp0xE7HbYwb92uxf7BOwb7P5rlNDh +jPAcEnSFc0jQCc4hrX++UNYR55BYF8RVAs84h7T7nDrZ3+C8BnDj9hNeerRe +9z+9vrji7sf21PJTTmn717JPFO55RdKQ1vlZPlW+Yz5ivmA6Z7plOmS6YroB +neA9S6TIt/vddBmflRNxGS/Gh/FifBgvxofxYnwYr+WP2l8dnqw8HUX7/Rky +DtAnxgH6tOdFhTIO0CfGAfrEOECfhY2P5+1QpfjY8MrNV+3fV/Fx5qRPF867 +WvFxVm3SYaX4uPWOfZb+WKP4GPldUiAoPj576qaj3t5F5VbLM0/+/b4Sxcf3 +F16eu+eB6p+y9IA/PWcAvaME5xTg/42fE8ZIn+VSudoXfI7E5z58bsPnMHzO +InTWZTUM3O18gdOc3/QVgb0f/j2BhyfRdPirgo+RXVr+5jF6njKnS8v/9mmV +X7XOD616c3KXlTH5qJmybi8OLNz24sfVr3/Y0Vt/vNdVKu9mOz+s6s39bthr +zP05Sm/Fg/e4p3Oq+t3vG7TtqvfvVvno/ZArBb5l6F+677JB6fPFGZPbf3+v ++sWrXary9LCZfXMOvUX15qpzio8vfUPpecrpScWi8ra7SxW+YG7SEC0V+Pui +pOFZKnRXuOKbSxMfql/5cDd/ldf3Zh3x1aePqN7c281f+eWfXbuJt/ZVeT7B +pQrn1l/++++6K12/9/V1h9VNqQmeG3zNEw/PUnso4fzhkwQu7rK+vluo67ZV +l/U1N32+wBmOf5bIupw/7O38m9qXCrzB8Y/aK+efseLhBzZT/tyv4rtHbpuj +eP278+sqv55xc9LgVnvjdXdeoPx705enNf5mjeIl09GJyrfFwbrzf3umznvN +kS23nv6GwiVbLhoff1nl3eZTJh5Xvzoq//hcGnakPZ9WeFjSTT7kfTqvThP4 +nmlJxL1P59dpAt/m/NXv03l2msDX1791+TPbfkDn22kCX580w0//gM6708he +yCT5rHCukwdz6Hw/U+AlXdx6yTFz6Lw/U+DYbq/PveXCOXT+nylw7AC38BE7 +3Z63Z9N5u8If917+bOagJfI9a1fXBZPGrOmSyEvIvskWeNKBO2cXXLmE8BqP +2P34nvVb10Xg73s/99ARJ+VL/ygXPXLV6N8cE+SnXAfeJwC29loR6UeF9/ng +yCP+UVAUoTNeV+ufr4jsM6z9XRahS6YDXhf0x/sOpvNUdMPryHhGf7wvYT5J +RXdMB7xOjFf0z/sYPk9juwl2g13v/7lzAMCIo8K+Yy/HdnoedH63uZ13f68w +2qWSi3Ke4+TD1QJ7e+E9odvHHjk0veGFGwSe5M4Z3xM66/7T0mM/2fEmgTP+ +lTx4HSd08uTDt3XtxG4RePY/h5/VMX+crHPzj8nv3y7wouSx59PjZF2anUK8 +S+BFSffTReNkPuseTo7v7wIXdc3u5t7jZLwjrk+b/2qxxos1uXPQ2TLe4bc3 +/TDxC40fa+vaRR69eLaM95GHnMNP4DVDnjt+z4mzZbxDnf00VeD1SfX8wmwZ +79CXkwbJVIHXn5dcqNnB3Q5vl4m8HOvO/9+LyM/nnD2m8SHznD2mfPrMiqTD +UePJFmQlHW/KdyOcXaDxZbFBSxbv+jflmxHlj773zBKNN4vN/GDCNtdkp6QL +wN7e0Lg8b2/Mjsjbguuv+7R7vsYJbJu0qseslPGsdPsCjSfpmd/WtUNdKeNZ +efsHrXu0a/xZz/OWrR39+MqUdLmpdQc8MvbVYVe/pPEec9z5d1Rej3T2rMYR +9HX2nMqVkY8mFbie6/ft/Hqv3pcWpeSLTdHdptYdcKGz55ROtnb23MqI/J+c +PAXbY5XAF5747O+ubyhNyZebovtN0d2m1h3wC27/pnRy+H1Jh63ql1RyYVN8 +tym63xTdbWrdAU929rLuey909rLuA1LJrU3JhU3x5ab4YlN0uSm6AFy00zaJ +5o+Vju55bM+/TnxQ9eW/l7uN/09z1x6kZVXGZ0QQQhrQoibu1ICZTJZFg1Qf +LKAzEohmCs4wQwELkoWIFFiWgCK6IKmECKKkIjeFdRdFWIVlWQKW2+6yNxbc +y7fcKgVmYkRhzfZ9nn3Oz/N7O77MODn+9c7vO9/lfc95znme5/dcvtQUsZtz +HW78ad6DVbdtdniW7E/ktf79e7Me/c9w6M89UXrJeeSZto/U2NQDDj8m+xf5 +K9c03U2Hn0G/rms7d9iKHpUOjzj7+5w7a6ocLhU/E/kt6mdC/14QvV/nsPo7 +0Me+nkaeRrfFUeLNUfocxu+ZFz34MZdXbfpa/VLo7w+EHwE2Hs9wnqQfAWeJ +3wtsV/6dMvF3gS+V/Jrk+0j63IBvzXsxdzjsk0zha4A1Xy2eX2F8peN9pz4/ +esDdwJvlClwz4Wvtl94EeybnrUhw0jGesz/xmG2becwQD9qReFDfbqsLysVV +kvcUlpPuIg919H2FDs+kffDDdv3OHWqJ8Z20L66MLl13OOzzx8dTRbRv/hxN +59UY70D7aHQ0nYP2k1170OFHaZ9pfiDG+9C+Oyj7CuPGDxp+lfal5vcB30L7 +9NyySLEDG79ouIT28XfkfjA+jfZ1pxPRQXQE9q+XlxzP4zbs+0XImzbs+yHI +czY8R/Q9x7HAsykP96K7Lxs3rPxpHo2DZzOewucxYP8cELnIo3HYP9myLjvJ +nwUPZzwH11kwz8B1DobXCU+4M1Z3YLhRzpli+jx4PONRuK6DeQyuq2Cegesc +DF8QHq+YPg/7pFvXKOBcRv4y8luNx/H9V9SdGI/ij8M+MZ7D96dhnxgv4X8e +9klX4RFhn9j9Gc4Qfh3+NdclGM/EdTHM83BdCvMwXCfCvAnXcTDvwXUXhjPe +2zqicCz8d66jyOx767R278M+4bqIEZH5fz/zaKj72RyZ/3PeonGcyy9HbvOE +nXRO4pz9QM6pYvo8zs3Ocu7gnLTnMzzg2pLa3ZPAB3BdyDjhuXGOcZ3HYImX +QO9wHYf/u284/BHZZU9Fx+fZjfQ7sF8WSt4vvk/5EeNXc1wfNMMaD0AeqvL/ +GNe8f8T9lYde6fha689guFL4deSt3it8OsY1n3yrw5OEV37bnbPWz8Fw7scZ +HRa0BL5E7BrgocKr7HJYzynw4qrPkQcrx2Bn4F4/GXby+78DHjqn9vI/tkae +QM9fVDZ5SuDVrV+E4R5iPyCPdqjYFxhXexJ4iMgBeHf7vyXDg8VOA9b8a+CF +Yqchj2Ci2HHg7a0fheEJ2VFCE/J0/yq8PsY3SR0AcJb4fTV0DiFvYMhzdz28 +agDwOxEtcgvw5MhNXgJcWZDTdLIjDmD9LgzfMa5/7c3zgTVuANykNBoz64A1 +btiQmid2KOS8l9h58fiyL+8FsTjMFvE7MZ6muMw6OfdXOvkyeTfMcZv7Np54 +c/GvMM5xnIkfP9yza9stTr5M3g1znKeF7Jdw3OeC6J1dTr5M3g1zXEjrAMJx +IpVn6HmTd8McR1Jes4zktZzkGfF5k3fDHHea0ipKBDtE8lpN8gw9afJuOJPi +VFrHhPHNFLd6TM6/GtJbkFeOa41us7yyy/BwnEvlGef8ZPKzDwmt9TrlPyH/ +4YAcUK+Q/Yt8iEZZ73zisYFPR8s7L5/OK+RPZIge2+3e748fT/0oEofXdrv1 +43yLIbKeJe79fl7E8dRA+f4St16cnzFR1q/cvd/PqzqeGi96tNytD+dzZMl6 +VZMeBVZ/qNqtB+d/rBdeBXrZxn3/B+OWt2F44tWRA1gfq4PUdYzXz3BcwPxw +ez/X0/D3VIhfj/fx525vOq3uXHqa7g/2gMYTjiXGJSxPoZ/kFeLq8nL/tqeq +Qxv87pimU/SKAadj9Rqh92WLHsdz1ckV2NlBZOd9M1qOE1scXkF23qjoeFu8 +y+FzZOepvwrciew89T8hfymy856ROizI11iy894WXhryw3ae6v96yjvLaT6X +YHepXsK4n/dT0GyHwa5SPbHRYeMt7BzZJPwT6oN6yLoXkh7b584VtcsOOKx2 +GcZ93sH0COyeKoljYdx4BV9PVDl8Qew0YOMNfD0Au6Wr+HcYN97HzgW122B3 +9BC7DePGY/nnOOyK6zqt3tzqAudFxnlBf52BbZ+aPPt5RbMcXtz2G69/nDHF +4ZGDWt60+0xW7H32up/PuCfFPMUJiUuscetURjxEa+HNtwZ5hOGyP3a5dWA/ +f5isW3HQz75X1gnn9UDyY58WOcd5PJ78wDyps6xx85Z0TjDPmsRjhnhYfz+G +8658OzI5z8ow55GG8qoMc55pKI/K53+S86YMc55qKE8qlMcayovy8wWS86A4 +DzaJNzasfiryznU+cT4ukHVFXnlvmQ+cd+qXIm9c/VKcbwvEn/hE/bjcD86z +HJFLnGctxA8FLs+KCiSQ132VxMtwXkm4rDPOo97idwJ/uTQioHD+9Mtvl1uW +B5wUtzC9oXKxNKhXNA68xM2b9WEL6RX1N95086jbYEdQr6j9v8PNq/U5D+kV +zSPb7+ZZ7dmwXmkh9gzkWuWuis6vKtoXkGvr6+afZ0doXxwhvVEX1Cubfrno +/ju21pHeCOsV3RcNzj6y/0M3PEt4VOAZ153p8VKfU25+7dwy/BDlKayROPZf +gnkL9wtP/JSbf84v5rwB9Y8xnqY8AvWPN7r14fxkjuNfLfw/xjmu31Xss0K3 +fpzfzHH1aeJvY5zj7Jnib+8nXhn5pBznrpM+CBjnuHeF7PODbv05v3o9xZ21 +bwHwzRSH/lD8OcR1OT/7IMV5vy1xYoxPpbhvF+Fpj7h+jLbv1U/b5va1ylER +2YPgvXS8wq2Lygl4J+vn6cddsp29Yr/n20FFDtvv+ePct6ea8q+5Tw7qQaw/ +qGHrB2rY/CTbV/7nTrpzk+sRjV+1/ov2uvVf5Per/G+gPPPtNL6XnrOUnrOS +fv8wzVMdfV+avu8ofd8xx4Px/SY9F3/O+C/Dxl/591NM319O33+I5r+G7ree +3t8Qm1fTW6F5Nj0VmnfTS6F1MD0UWhfTO6F1Mj0TWjfTK6F1ND2StK5+fUGO +8yN8v3AD8U3biR/fS/u8lPY57EZ7Tj/OBf1nz+H7jWsd3itxtlcoTrPW4UVR ++Pv5V8keAJ91Xvz7fHd/fl3g4dTAptkom77b3a/xU4YHC99Y4u7f+CfDE8Q+ +Kad+W/BfsiRvpzrG2/FzMm/nP2f8uZin87//MNUnxZ+beTr7vH8+55MdFJ4n +5u3850vT86WpXipN9ZbxeWZez77fj9Pnk12122H7fsP2/aF1Yx6Q5Y55VOZF +medk3pJ5SOYVmUeskt+H3+rHFY/F7EKTo9mUh/BPyatbA7+A4qjdd7budb7/ +aidXxZRncLnkm2x1csN5ACOitLjiXcE4/HCxlxH37kJxbvUbsS4DKU78tPRd +wrwxr6J+2DGyS56kOO6TdH69Qf5Bobtfn/dKO3vQ7sflwyy/5cJ3v/KaO18P +zT636OwPgF+OwmbrYN/0lXpX4FNiRsLe0fp54Gel7p/rYaF/8qXun+tjgbX+ +HfpG62WBtb4d9pLWrwN3lP4L0Ddanw68SurToW+0/hz4euGHYV9pfTmw5if/ +2Okl5VeecFj325kYX6Z9IWCfaF1vnDfr1rCiacWWOzw9Shd7ZlHMvtH+B9CT +Wjds94n71Xp32D1abwys9fFxe2/ojiXzbxuNvgof7Y3SWF4nOUDdofZBKHRY ++yigDrGD9E3YR3JQSut8kOSgktaZ+xxALs5KX4MjJAewQ9rJfNeRHEAutC9B +muQAcqF9BzDf2o8CWPsUHEu1zHx37kNT0KdjwrSiJs94dWx+P+s6Jf3Owqht +3kz0A7kxSov+F/qBXCF9KWDfap07+oFo3wnu/8H9QWBHav8P2MPaN4L7f8Dv +0f4gsCPnyDlQQ/PJ/T+4Pwj3YWlIlNueHTvXzRmFfiCTo/Tw0xsvWq61fwf6 +gTwo/T5gjyfJ/UvShwX9QLS/COz1pH2h/Tsw71+SfXDx+0bXsYrWGThpX+k6 +v0NycPH7TvcR1lH7fVz8vtR9gnXXfh+ffd8avvmD9qUdF6H/g/bJQf+HFaIf +0f9husg59J3qv3Jaz2paH+grPccxH6oncP/av4z1T7jOOqmOOqlOOqkOOqnO +OamOOalOOakOOSlP289/LKB80D2U31hK+XIVLj/O9xMPk59YS/Z+mngu8NnO +LiC7QddtZtCO0DjN7GBcVfNyl7rn5Diq9jXYFIybTpL4EvhsjpPmCt+HOA3H +RTX/hvNlwE9rPg34aY57an4M4i4c58yd0f3fs89h3TmuqfkrDe55OY6icr0h +GFfROBX4A46z6HV7MO5SJXEo8A0ch9Hf3xuMy+jvg5/gOI1ew3GbXIkjYR9y +HEevwJdQXEfjutiXHOfRK3Bvivt8KP4S9i3HgfQajgstuPbx/dePx/pynEiv +4biRxt3S2F/EC+t6IL9T5Xt98HXDJh/MK2t+Jfo8qbxuC75u2OSl7wuZI38+ +BLy05huh75P2yS4Kvm7Yj6uC175R8heB75F8xZLg64ZNnpgXnyT5Nsjv1L67 +4dednDbLF/PqqjeAtW90dfB1F4/0+tmDl1c9A6x9nsOvc3+pu6J0g1KcN01G +0vZ/NNQHXzds8vcH0VNHHb5S+iSHX+d671CeJ8fJrI7D50MLSN4LmvPnEKcI ++fkmRybfhm8QuYOfH+IBfL1Z5LCev+ABQjyByYnJr+Ffi1yxHRXnEfw6jQqS +rwqyu+I8g19HUU3ydJjstDgPYXJg8mi4TM4V2HUhnsKvE0Aegdo9sGP/3zwG +94k2O9N4J/ZX7X9/7X+OeNzyiox/5HH+3BfFzjZezV43Xs2w8WqGjVczbLya +YYtz+t/H8RGOh8T7dX9R444WV7TXjcfi++e4I/NY7HezH81+Mfu57LeyH8p+ +pfmJHOdjXoTjfsyLcByQeRGOCzIvwnFC5kU4bsi8CMcRmRexuKJh40X8dQ7x +hidjdTSfXieTE6uTCdXBGOY6mFCdi59vllzHYpjrWEJ1Koa5TiVUh2KY61BC +dSa+3ZJcR2KY60hCdSKGzU7Qcwd1xKu++sIlK8aduug6Kq4vKaO+eZpvud6t +C/fRU/8PcUHuq6f+K/Q/99mbIuuEON8k6run+Y/Q3/OpD5/+7wfibtnUl0// +d6OW5rGe5rne/b8d57vz65oPhivz/cwz6nmI/4VgHlH3HTDzhNbXJ8QD6j4p +o3Opis6lQ3QuvUPnBjDzdPz/AMzD8f9QWF9MXx89Sc/7+etdi4f6zwU7w+Kh +hi0eatjioYYtHurPI+bJ+jqF5sXsqv+tP9fS+n/+981xK7tynIrzVjhPhfNS +OA+F8044z4TzSiyPhOMcHNfgOAbHLThOwXEJjkNw3IHjcEl1p0l1pEl1oUl1 +nkl1m0l1mEl1lUl1kkl1j6afnpO+P6eCdT2urkwWHnKnGPrKXte6JVxZXpeJ +/4OrvW7rovOa7a7MB90gz73NXZnfUf6wyF3t9ffb/6bfvkbMz2UL+1w6OQN8 +gK1bY98FbVJFn9CHI4feOvB2+LdHZ1y2dFAa+m7k0u0NQ35bm7pz2+jsyx7B +fDxwzbJlFVOhjx5fP3ri9E3vxfIDz7xbN+a+fSdTNy3v2SV7JZ63cMufFmyY +iOcb2+fu9k88gOex73Hf2/w9/nymU4+0GjPz2Ubo1+svnVTSOgP8R/bXZ/ce +MBf/v2f3bfNg82LzYPNi82DzMqp5Hnx+J4eeq8A9lz2HPdd/Ae8SCL0= + "], {{ + {RGBColor[ + 0.10372206117797761`, 0.10436141743811188`, 0.10500994850363238`], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJwtUz1PVFEUHAUXin3L8pb30CzvGbQyNmhiIygJEBtjQ4tCIFYUGg2YSAEV +fjQKzXaoSPzuwETt1wZLlkSJLg0mklD4D3SGucXNOXv23Dkzc8/rnbo9euso +gFGeFp4frUCdySyL04zfW533VYCzKTDWASzGwFPmQyVgIgIqBd9b438veWqs +32RcbQd2WG9mwBz7dhnXy8AS7z5nz/VwT/iPifmE9RHW84Lnav55zr3A+pmC +/xPeV9abRSBlPsF8i9iTRePsM19gfvUIMB55hrAake+pHyeB4QToYHzWxhp7 +zh0DLlf9e5BxnhjXiLHF9jeZsd4yvsus+T3jRmp+4iZfxEPe1QMn8dnL7cXv +3Jw/ROYtPsMlcxLfKZ4GzHsh5PJyPGgWljSKz93c9Tu5PamFnkOMyBp/kd99 +5j8z65Pf0lgJWuvBi0Mu8FtdaTcf9ay0uW867ILmaqY4Sa/8OYjskXjNB261 +0CM+imuhX1jaF83d4A70pu49ldmX04xjXcCnTuNtsudEYg2XquYzwPiN9ZHE ++6Q9uRH5fbWPD2LPkNahoPc4e5tle1BKfF93v3DO5057tsm5c7H1FPmeH9n3 +t2Rc7Y/0L6fmLc7bVXvVqNov5fJSuyzvpFG4qsnbHeI/jP3e2vFHsd9tt2x+ +4tad+NsQ9/4e4AUxLzK+zqzxVWYuqmuO/F0N79XDPd7m/X/chxliz/L84Z17 +jOtd/ib+A4hqjaw= + "]], PolygonBox[CompressedData[" +1:eJw1krtPVGEQxQ8gsMXu8thl8Wa5S8DKUIAFBe9EjY2hoSJB2UCoIJFHoglb +YMWrg2joeIWAKJVaCD0U2CIJoFkaTCSh4C8AfsPE4sudx7kzZ85M3eBoz5tC +SY28B7yRQHpVIvXHpE+h9OGhlMDP4n/Gf1spfU1KLwukf8SaU1K8SsphPwbX +FfjX/Dz4trT0pFhaLpU6sL+EXuuUZi010hGxbJH0IiIdY89S/5T6B8SexaW/ +GWmoTDoDP4ad45+bcnL0VK20HTrXE/J75HYrpF7yv4gNRqVH5PNR72G9WsGs +RXxGm7UB/jv0OwLfR59JYllyK/DtBL9AfhpOT+GyypvBPgG/X+Qx63WWdK7W +0zgYl9fYW/T+iH7rEZ/hAv5daa9tmpg2Oeod8n83el7F3I4mpOu4x0zrd2Au +Y665aTOP/zzuGgXocF7unCfB/GD+MfwpZh7gfQM/xHsf9RqboXPLgN8OHPsz +6b3tn/a078p2bru3WZsSro3NXIcew/gb+Es2c9p3ZzParKZlX9J7m6ZzcF1M +OdY456vBxHwn9aHX+p7ym7GaefhUV7nWNpNx36vwXdoMdgN2C/3kJ7DHM27/ +v71b/GP+T9H3N/X/hK7LvT6B35zdnt1AG/Ydn61u/A== + "]], + PolygonBox[{{7643, 4630, 4298, 3449, 7645}, {7647, 3450, 5444, + 4350, 7290}}]}]}, + {RGBColor[0.16675207, 0.1782183925, 0.1898492575], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNlllsVVUUhjd4e3ux9LYUWnq5PW3EB00gkSExUQSUQYOmPqiPDiC1UVFU +4gy+UIIG1KhAIDghthWHKEKLYfKN+gIOAcSEUgZb0AeMwxvG4f/6r0YfTvY+ +++y19lr/+te/zxX3P3bH8tEppUt6LtPzcD6llcWUWitSmluf0td1KX2m9y80 +/07zXZq/U0jp9OUpbZHhqTGen8h5PBPzNtlP0nySxt9lc7EmpT4d8KbWFsr+ +4KiUFuBH9vs1766SreZPy2dZZ52pTWlx3mvsYX//GJ+n6fBZzEdiGIj1e4q2 +YX+N/ByRnxeq7YOzWd9R8t6uLKUNjSkd0MsN5ZSmKYYhPdfoOaUcJuQdM/H/ +oWe7cumR7Xyt79a4tcZ5sT5X722yeaLZ+ZGbPg3POZf3XyYI53EpdY5N6XzB ++JRke0pxPKsYT2rs0PtqPROU1yH5m5I3Pidjzz/y/3xTSj+DndbOysdPBePW +Jb9DBdvO0Z5OzWdr/LTo8/gGNtiwf0D+u7T2lXLcWbR/9r1bcB2p84wK+wEP +7MEI/9MCJ+acj0/yxw57OLC0wj6oEWvMwXpjo+twrGy88QUO5LpKe3pzPg98 +n5Ht9CrHxR7w3hpc2qyYO2ucB/lc0J56jbuL5ilxLYk9U/Meu2KOP/yO5DQ9 +Ypis2HYKhyrh/IPiW0QuGv/Oue49OePF+mKNGxpSWq++WKhzik2Ov1pjv2r9 +stZv1np7zljtU84r5OPOvGv7V4Xfme8RVw/XuVYLtPZSpfLU93k6e5vmN5XN +4a4q82FO2b31nHjXK9t59c6b7/QSeHwrfzdq/XOtP6L9e+VnmcZerf+m+F4s ++hzWd8nXJuXSW2tcB5tdI2p1abT5y7n0BPHM1P4/x5nT8Hl0S0q36qzaFnOM +GIiXWmKP7UHx9SFh+6XGdXpu03y9xvM66wHV5UKzcydvcMYvGFNT9OStSvPn +x8w9PZh5HZ5Ruw8y826ZMPlY88Xa80nmPOkN+uqWovlCDTsDJ/zDKTgHr35V +Tj3CaG3Rdb07+Aa2nYE/erB2RBNyjpn60r9rKsxbeI9mbdZYiPX+nDEHb2yw +fz/2bw0tYX6kzpyADyvzxoVzsEOj2yNP8r1efBsM7SoFJ+BGv3K/vdbaTT90 +xFmr42x84eftkrk4pdH5dQUuk2TXI/ttRXOUb2B1WGtN+rZK+J6ttV6j1anF +uoQ+UZPBiAcNvq3eNYMPgxXmRF/0AL7BGJ0FZ3plMPrlG+Hwfb31if5bGThw +P50LPDOde0J7RrX4vSP08w3x+ZU617xxfEoTx/sMdIY4qONA3Cng2J35fW+T +8yFveI4Gwg3qQi05n9jgF/3AN7hMXvid1WS9u07jvXnHjX6gPWgQ/QXf0V64 +CMfBAmzvqjYmfYH3oYiTXAuRLzVjHNFeaov2oStTQk/eq3QOxI8205Mj+nw6 +tB0NRPPhCncU/Uqfg397+N8SOZPvAeHzoPbv1zhTWF7bYC2lt/hHQEup29Lo +Bbi7M+4eeNcR3CYX/JDP8Wr3IhjA69bgJBrMvta4Q/BJ718MnmwPHnM2ca5o +9t3/uMbJme/egYnmIxiROxh1jzXO1GFJ8b87cFHcg+vqrOn0/at15hD8OVr2 +XX5l5pqDK1zFX2f4fL3Z/06vaXyq2f6fbHasaAXxHg8/+KO3NjaYZ/sqnf+u +qPOMwGpbaNDM+J9qC60Dj7bA5L6i72hs0O/JDeYYue+Oe3BN+MVnT4PrNzW0 +tj34TJ6bA5PW/3EN3R3+n9Mzu+z3WWXHM/wfU2HtGYx/gulxpw9FD9ALH2Xu +K/prR2Y+jNTwaMncPVZyngtDB+AG9yd1ebRsjJaXzVH0gxpzn8yI3Ojj/vgn +pN/oU7jbHZoGv89loVuZMemIPAcyc4T/OPC6EP9UvSVr756S71HqzTdqTnzw +lt6Ce9jTt4eil6nRluid+WX35IKyOcr+IY2bCu557MiFWpLPVU3+drXGDzPX +mX9V1vpCM2ZFLeZq/BflcMbh + "]], PolygonBox[CompressedData[" +1:eJwtlElszXEQx4cuHvr66rWvfe17/4o6kLQ3iQNa1VqCcEAiEksJQVtEkYhy +EUFqCYlyqajETixdJKp1dbFGqxK6oRon241Ifb4Zh0nmNzO/me/vOzO/KZt2 +rdg51sxWI6nIiahZSa7Z2ojZgkyz5iyzuTGze+hXM8zWcP6QY7aQc08YX8Ks +aZxZQZpZGfr0pFljyKwqxewt5wruLudOC/GtyDPyv0Tuo99FXqPPI2Yk5DEv +OJdxHg55za3U+jPJ7Aq1ryEn8b/H9jTFMfzIcYzCdkwYA7MxvKN/PPHoB/LB +km52GYyV4LmF7RK5Owm6id4B3hDYt/GWTs4nia8j/i+2i+i1yAbybsffhb+R +cz3+SqQNvQnbqrC/eRq5jmCrxtdBvR3UGy00248/Bu7kZLNu/CvTvYZqzU84 +thnUK0cfIt/BsGMW9r3c30j9EtXk/DhwrB+JH8gz24O/P9Vj9qHXZIMr1+Ov +0sOJ2O4Tv4z4CeinwNGI/wLxi5B6MI/C3xI4Hwu+h8KU7m/UW3dzZzP51xFb +h/4h8F7rTX2B51Tuevxn0VvznZv1yDD6TGpFyH0o7JhGiNkScczC/iRwbtUD +9SKMHITLYmIruH8C/1L87cRnJJ0jcdUMZxXocxLeS81gKXo30sV5ATl60CO8 +KQwnXzkbejW2Fu4/Ir424b72mM+mYmZRozfVZ2Q2+u9JPvOadc3gQOBx4qQf +/W3Meys+NNM1Cc99HCkHf3nMZ1iz+wD/1MCxQYEVoc+hRh+5rmArQy9Nuq6Z +0+wph3KpJ+3o5+P0NeQcfoG/eQnnIkf9ivuMiGfx/SnwXXoe9V3TTt3BVhX2 +mqr9DWztUd+dw/CyM+GzK47E1SBvLyBHc6bP5HChz4I4/lzoPVKvNNNv0PPE +NfG/iPmJnKP/DdH/fwkyhh704o9jGww89jsYjmb6nbaoYxIW2fQmvU2YbxNf +HPfd1M5p976yA5/TfEYaAt8J7YZmvijuM6PZ0Uxlqre8aXHIORSXNwL/K9Tz +64H/Ra+i3iv9SWcKfba109pt/T2no747+oOSxA9lOTfa26Jc30HtnnZMf6D+ +QtV8l/C/NZ7t3OiP/QfPVc11 + "]], + PolygonBox[{{7648, 4632, 4300, 3452, 7650}, {7652, 3453, 5451, + 4351, 7291}}]}]}, + {RGBColor[0.21125345, 0.2303639875, 0.2497487625], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFl1uM1dUVxjcwZxgOzGE4dYY5/M//TJQHKzRtwoxBk9qMWLlJRCkmbY2J +EBgQKNqi0QqJfVC8NvUSqAZto6ID0eoDzAzgFdqE4QHaMIpWkxYGuQ2itg7R +B2/fj28Rk9nZe/Ze/7XX5Vvf2ufCxbcuWD0ypfSLESmN0txZSWlpXUors5Re +z1MaHpPSrmpKX0roW+3v1bx1bEpbNI7o7LOGlD7VuEv7y3U+ppBSv9ZZMaXT +2p+n//drPUNzrgtO6LvjGtM0ptR5v6Z7d4xOqadg+ZWNKXVoLmq8oLFZ4z6N +vqaUJrek9GQppe7xKb043usuzVt116D09ei84wcp/aQ+pWOh43Cd/fhc40Ot +V9V5r0V2LpJN/VpP1Ppn8vN56fmp5pX6/rqCZR+Tga/KpqLm+bJhV7Ps1b1n +JHvZWOtBN3fo+Nze9NhnfTr+x6/FJfv2ib5tU1yygn3AF+xvl1yHxjXav0v3 +LdHZnZo36fyIzvtHOa7EFxn0Xz7WejrHpXR1vXOA39zze9nwrHTM1rhU/98f +Z+xjy5YGy2ELNlULtncobJ4hHPxVuemMeVnBMnyDPejBHmwe0rxIPjbX+4zc +Lo38FuNu4n6DZL4pOO7d+m6v5j3C3zMVyz+iuVd7m7TePcK+bw6bH5QNvQWf +gY31sX9WvjxQshx3sE/8V2TG1urM+SOPY2vOMbl+OTe+yd2bWo/Teq32H9b6 +XdmxUL4c0rxG39ws/Sc0b2yw7WDnfFx+rnmn5GZKfpfmQ7pn3yjLrA/8Ys+1 +k4RLyczX/Jz0dGn/7yNcE9sLri/mbbFmPqhBjbI/EGerwi/8AwvUzjVxjhw1 +zNwTa+LVG3jGduJP3N8tp/S+8Nwr32ptKf1b61GaJ6mGKhrDJdu4LOzcHHEn +5mCGfbAHXroiX+tDBp+poWORk/9OdH28lptPtp33q9EyyC6JWqB+sRUMohM/ +8BN+gHfgHzDzdG58TW31HtwEF11SdZ6maD4hmXt0x3HNRzVWSO9VytH/L0jp +qwnCoOpmpvx+R7HoKbkO1jYa503a/6eM/oP+f0jf6i+dkh//k8zOkvnv7gZz +HPyGz1vGOdd1iuP1+n6C5sExtg3b4ZZ1JfsLtj8JfBNr1tT4EzXLPK556zjb +CEe9jf2y5a3csptC/o08uE1+1XTnoGxeVG88nst9nWsSeXJ3UatzQU6IEzUJ +LuCJm0Ln2qr9/Ei6D+eOyYg21zt1RC6mBZ+D1cnS+bEwuSEz9o4Hj8GX75XN +mS/lxtGGVuccX+CGwdDPPcfl8z8ks1Ey+8hhvXsP+k6ETnLdHRjojn5E3ulF +WyNW7dFn6Ed7g2smRp+aFjaDNTAH98J7lwWXEkfieYVicLLmHnOqZh3cgx5y +j0/cCWbgYXrCUHA+euBA+hzYmB68Cp67omaQgZeJOzEHJ/AMGIVPP4+eMlj0 +et9InyNHjJiPxHpWg9fEpD1iNS1qAjnshpfmlMxNnLdHPP+Wm7tfyX1ve8SN +fNJX6Cncjx3EBe5ijT3w6NHi93tHQwbMch8cOFtnTxdt44x4E9xS5/h3R71j +OzLn/fqoaJu3l8xPxJja6oneC08fKLr+qJ2zwf/gdzjiObfk/kp+OaNH3Bf3 +HwgbyCN3EXNq5tnolb+uGn83Vs1z8B2cMCbqifisj75GTZF/bCSnxIC4EAdm +YgPusYO3CvG/uGrugsOII/rAxq+03y+ZX1aNE77lnJ5Lv6aOr6x63Vl1nRCz +91R3GyruF70VvwXW1Yetda4BcHt/9E04ua/kegHDYGV5+NWnej0rfnyw5JyQ +P+44X2Pogf92lL6P32fxDqRn/rje930om+Zp/4PMPrMGDxv1Tnu87PygG1yc +i0XROOD/Yd3fW3bOvp5gvgZT9K41oZ+aWhVvOTgJbqJewAt8Qj5m6+7NwvGc +zPgBO8jzZkEe/FfrHXN4Zntg7UzEnXroj3fOUOi/PLgCGfrDgmb3CHrsyuhd +vFVej/fKbzLz5b3Kyyytn9f+zMxvJdbg7beZ5W/LjDfeFWCmj3yPNo/QB+n7 +9PR/KfedWnco/z9qdR8dX7P8lHhTwf/YQQ842uTeAMYPaN3W7L6Y0/+bjPur +MmP87orfKVODu4g7eSPv7H8w2mfY2RVvgJ3Sc7Ds+FEjVwf2iCkcDt9iFzaj +k1gQk0drfvPx9ntH8w7pmdNsfNGnqcvbJXNIumc1G7Mj29yb6FE7Aut9FdcG +MaX2Z1Rc342S6YnfNfy+WRd9EdvA0cLA0rGK3yPbNA/Et+igV5GHKzPLgW1i +S4yI1ZHcfoFZ9n8nuTfk4xrNfxbOHy0Hv4/0ndR4Kd6ZvDeXRp/gPviW2C2P +mC2P31wD8Q7cFvHeF1yBr2AHf/+j+nisbH6f12jMgIW/VFwzl7Zax0C8CU/m +xuwpzduDN+AP+PRc3pPfGMPBq3fEG5i3cDV6Mu+4Q5lr+IdVc9u84Dd0oItc +7879+2dPbh/4Dr/mBjcjTz7hkBURS2IKJ2yKdyv+4lNn1AL8TQyJ20DZ+AN7 +cBZ1Ds//qewcEH9+F05vca+hlw1Ffb8f9uMHOvdHTyGH1DL1+0TZnIW9ZybZ +BuoP3qNXYXNH9NOh6IeD0RPBS1/U41Mt/h1LT+qJtzr8szbekcScvK9ucO6p +yydbXJtfZt7/IrPOexqsd0LV6ybNj+TO/R9zvy8Px+9d+G9RYOU7LZ5cAw== + + "]], PolygonBox[CompressedData[" +1:eJwllVlsVVUUhhcUoYLcthdaOD33nAb7oOL0IuFJpUon0wgSjIoxsUQMMhSU +QZM2wRcSQIkMivUBDcEIBIQH6CTg/CCvDGWKRoogEtEQSjQR1O/P/7Dv/ffa +ew37X8OZMn/ZnI6REbGUNYrVVeKnKuKZavZ1ER1pRP+YiLY7uANuRT6rElkh +YoDVzH7hxIg9d0X0sd+fRbSPj7iAscextTaJWDw64ig23kD/K84XcX4Je1cn +RdxEdwf2dqO/Hv1KfBYmRFwvjxgJLmOdxUdtER10N7La0O/DfkXJNmTrELIH +JkfMQLYb3fnYWorv3/KIVysihri/GnwQmd57XDrgQdZc4lvB2gieXkMM+Hsb +ew8jqwNfJL528BpkK1K/pRf9ZeAv0GnirIu1DVzAx2zOuvC/FXyD+M5x/xLn +T9dGdCa29SmyFvQ35eb2ALY3g2ci+4SzErInwUP4zohhR8F69cS3BH528aZu +ZH3Ya0Q+A/5+xtf9cICZWID+ds5+hN+tcPcUd4+VRdwit/OwOYi/Xeg8iL1a +7A1z/hI2v4XfxZyNRf8wXN5Av6/o3KxFdoZYJrHv5E4vsg/xVz3aOf8c3Wns +/+Xes+y3s38UG+fhfic5eQzcmvrt07jTmLpGVCvKWQO4G/095c7Zldwci+sj +6LwOrsida3Esrht441T8H0NnHvofcOd37i7E5vvgcbm55clxN7Ybif8E8R8i +9mvoLE9tez1rJrZOc9bCnT/LXeNb2H9UY67F4S+Za3MR9i+Cx+PzNXAnsgL4 +ncyYv9iQuTduV5lr9UgT/naOMWfi7k3ie6XgWmtOXKOqVcneAp9MnEv5OAF+ +seS3/sf+OfBU1jb27eT2LLZ/RedldL8fEXE5dw+oF5TTbzLnRLmRzn3orsz9 +Fumsys2BuFBND4C7eft74qTgGlSNqdbEcT3x34uNlnLX3D3g3qJrRrWyjvtX +4XJ4ovFN1r7MtfAd8e3N/Ga9Xf12JXNPq7fXcKcK/CWy4TtdQ0czz4b+as8e +5UG1/BP2Wwuu6c1F17xqXbLKkm09hI+mxLkdLHpWKceqQdWictKcurd6ahyT +euwRzRTOGlh/0L/JBL9Jb1HPHM5cW4rxSOY7uqsZ9S77f/CZldnGNc42Fd1z +6jVxqhpVrXYQy9/gLblnh2amZmdDaq40E54An06dW3F+JnXOlfs29ufBFzLP +DvXnEPhc6jP1lHrrr9S+1DPqnZNF94R6oQe/vYln4wJi6gE/D38/cFbi/meJ +ORSXmpmnEtegalF3Xih5hmqWagZ8rNmf2pa+IUtSz0jNSs2sfvCsWs9GcSSu +9C1oqnYs+iYcJ75TRc8a9eyIOr9NMygDX848lzUbNVs1szS79I35mrP/AYy6 +AcQ= + "]], + PolygonBox[{{7657, 3456, 5458, 4352, 7292}, {7653, 4634, 4302, + 3455, 7655}}]}]}, + {RGBColor[0.2515966825, 0.2762395025, 0.2985102425], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmH9sleUVx1+g9JZeeoEi5d6+73vRjf1EkkFm2Q+2WqniVMCMzIlmbOli +GE4pY06NrP7hXKLd3JYNrE7YEv4oG9RtyZLZUhA3mVN0UReZgtOZrEUsVFBD +W9ic+378HpL98eZ57nnP8zznOed7vue894KOzi9umJwkSfekJJmicf3UJLlR +z0H9/mwxST6j52kpbKjx/KDmhxuTZO+cJNlTSpLRovVWas3bdZ6jv1q/j+kZ +0rp3JF9a9PuXtfaI1u4tWXdprL16ZpLsk/xRyXvKPv+yVKPWv6f3T2m8Uuu3 +1yfJFRo/liXJQtm7PU+So5LtlOyf0rlTY5eeC/Vu7Lwk+e+sJNk13ffqlfyZ +ydZlzhlX6YzegvbW2FTr+RLpXiBbhmRTh2S/rNiGVtnVW7GfrtX5XXp3uZ5+ +nVvU++UxP1aVD7T3A+hLvlPPZp17b8zv0TMsvW0zLD85w/OD2nhc9+8ueR2y +3v9b2x3zK/V+bei/INkhPd/Ufpv0tMqfT+rszbKzKvlR+ecyzTv1bqZsvkU2 +fqnW/jys8aPSL2mfQ6GDLrbhC/b/RI39+SHN91Z8x0GNbXrW6d24/LZc842a +36Z7JzpzYa1xMlCxXe0Vn7eIc2Xbc/WOE+cV5iVJJkyM5H5/l+QDkpf1jBRs +Wyb9vN7ngaXz642Z4wXL0fugfK1QJ6/NtYx36L+r+V/qHDPs6qwzls+mnp/R +uL1JZyrWD5a8F+dx7hN1nrMP+/GOMwam2oZVxESy/Xr2aH5r6vl3NJ7W2g/X +G4crhKUjuuNgyWsHC/bLuHQ+wt0kG5Ftr0q+qMb5B17zyEV0iOW/phn/YGt6 +4IH8ui6zjcQEe7Eb+3cL92OalxWL1yU/o/kdk517dzb4/P0l5xzv2oqWcS56 +E5pXNA7n1p+iWJ2XOUazNX5Xz1nN38jNBazlvJ/oHs/UGQvkG3kPJ/y+wfHT +Nsks+eR5+fx7Dc4T7nQkdbz+E3do1/59Gpdl5oZXGm1ry1TLwenazGd9JfPe +b8f+D9U6BvMDw6eDE16Pu3Cn7ojbtqnOW0Zypz9y6hHytWAOgBN+pDUrtPbH +Glc2J8kC7feO8LZQ9p+UXo/s31cxJzyq8cWKc+0ljddJ/7jm12u8TXqPSf92 +jW/pd7vmf8vMS3AZ3DRc7zmcNjdylZjiszVz7Dc46ZbI5V+JD36tZ7F+318x +L+zReJ+eb2j+d43XNhtnazQOTTMmiPOg9rt6jrFQM88xJbbgF7/hy3/I9yul +s086hdz2tDTbfzfVmnvmyw8FrXk8s+/IYXjgq/r9V+3ztcz81xscCH7vDQzf +3OC4gutixAPMLI36QlypBdwVTPZJtrvonDg9ze/B2orUMVupcYHO6yHumfE9 +EfjnDn3T/fvl1HXlcGp/4Be4bEmz71iI+jIccTkp+SXa//nMsV0U/qc2bgib +yVHsuiJsQgau4Gb8RD6uj9xAvik1l3y/Yq56N/CPzdiEPbxD56dV8xTxPlpj +3+FD9gRfywrGO/Zh5+cUk8U1xhgcTi3smGIfgjnkny+bcy8tWBfs90dNYRyI ++YmifxNTcoXYcx9y/uKibSDmxB6e/FZqrusE50XrwC3Yh23kJrLWWDseHMR+ +/ZF/nAXXYgOcj35b7MP7F+Is6lJX1N83m53rnyy7dj1b77ufL/z2K392yH/D +M13jyW38hk3orAvfkkf0OC81mtvANbx2d635iRhRU4gTv8lRaundkafPaf8P +aP1dDfYtfqX2kX9wPHeHJ+AgfImN1EVq4rL43Rn9DHLuAc6HgxPOcQQYao86 +uzF1vdhRcG9D/3AyeojLU9cQ+oKxkuXUd+zlXsRtQHc9o57pByVj62F4Wzov +NngEN63BU79RXlya+qwvaDyR+67HNf45dz4/ofFYbvzSI4wIu+t07vGq97yq +5H07AyffTs0T1GlqB5xLr4OdhyNPP54Zw6zHnlu119el84bGC8vm/pG5zkV4 +hNyDP0ajl22bbqwUo6fcVXQuDGrfMfn3T7L3sdxzZA/IJz9Xf7BCZ8zIHI/7 +ctca6hk5yR5PRXzhK96B1S9nzufrNW5J3UNsTe37sejxiO2zEd/fat8O7fm7 +3JwLRqgxTVF/8MMfc8f/5orjsypiBAd3ldx3b616vqXqM+gn4duLZifJp5qM +7X9XfMYq5coB7XmTzn08d8/OHB7uCc7tiF4IjINt8EFvwZ6lqv0wo2ofgZun +A1fl0P9h7nwkL+nX6dsvKjvfqcXg8kTECL+NNts2bMSGaxpsx8O5cc33wRbF +5aEm44M6QD2A23dFXWC+KfgRbuEOB6N2ZPJDOtsxOBY1Bz2wiU+PRg5SN7F1 +QvE7QG+UmcdOBWeBffIN+6kbfVGPyM318Q1F78Y90YHP6V+oO2ej90JG7wAu +weRY1DNiTC8Ltz1Ssb/pH+FG7vc+5iaZm/ZG70X9h7uoD+AI3NAjtcT3Bt8O +2HNj9JZtkcvkNPkHx4Ln/gb7ZXXU9tXB82sCz+AaHn7rHHfXOF/hanw6Htju +Dt9yLj5bH/3VH5qMRXCI7FTweWv4Fp21kSNg/lSchQ45fCK+Q+nZ5zf5vsuD +i+Ak6gU5yF1GQ591PwusgllqANhZElxLvOH/xRF74t4fuASTcPuB4HdivDv8 +z/1a4o43lNyX8rtLPpqk4JXn2X9D8X3WFnXw/Ron+7c12ZZrop8Do2CJM+iJ +R4KbwcFEcAhcMiu4CE4Cp9jcGWvhQzgXXk+iD/t0wf0MOUzebG30/an57VH3 +6VcYuTt8RE0kb+kpLom+YkL1ob/RnEIPBReTU69Jfn+jOZ26dq6npheCt7kL +OAfjcDMcvyH6Q/IGu8lZbB+Ku7MOm7CnpWxczq661yNH4Pqd0UPif+ohcmri +QPQwxA4epeYuiNrAuv25dcdiH7iMHIMrDkVfQX9BHbshvjnAPjzIt9bmqnuF +O6o+/57owci/dcGD5Hlf+Of2qFPUK7ib/L44vp/ggI3hf+IOrvjOIDYD8d08 +EPWFeoZfyRG+c7P4/u2Pnp/ef1vk65PRA5D75NEv4luAbwL6nh2B/9MRa/wE +jhZHL/Rq6vrySmpOZw6Pjub+/ngzd23saTT37wre5b7vzfL/L+DjHLawn+8e +OIXekTUPhq/+B6OMuD0= + "]], PolygonBox[CompressedData[" +1:eJwllVls1WUQxUfbgkvX2/X2/u/FpRqVYqJR0Ac3dqEL0WhYFE2NqUZoUVFQ +gQc0xqCiUUrFBZM+SFRQExPtBkVATUQTH1SgLGoitdAQ1BhaiBF/x/Pw5Z75 +Zr75z3Jm7sUt7Xe0nRsRqzj5nMczEX3jI5oLIh4Dd3JOIreh3AhelY5oGRex +hbtG5JWcneBe7JeDh9BfcWHEAWym1EY8XBFxtizig8KIrZw56K9BdxdnH3gu +51rws0URJ7IRVyXcnRcxiViuBE+uta8b+cYQeDM2d2Pbic1E9DfVRExFN43z +B/pd6E+dH/Ez8X4BXkZMj+Q7p0fBedjU5fnNSfBh7prxtY3zJr5uTfx2C/Jt +ie+kay2JOJ6LGMR+7zmO8SC4gzOCL1KMS7EdqeZdoWs2CbmP/GaN85103+Pz +8gsi3uLuBN9/gvcD2K7jzMZ2N/rx6J9Dvwt8Gn276oE8A/0GYlhdHLEE+Xnk +jSnipcZ7yamB+5v55nR8zeD8hf+p+DhKPlvxMT2xT/neQ4/GwDdUEXul668+ +vJZz7z9Ffh08Hxtcx9e8XwC+l/Mt+FX8/1rtmP+Pnbfb1U/ifQ+5CnkTseQT +w2V5julP8D28jwL7WJw4RsXayPfW069MOXUinlFyOcWZljj2B8Ft+B/AZkK4 +xzvBh/heS557eCTjmqg24uSKjDkr7qqGZ8ApcrqzwDXsAC8qjfilwrXbRwwp +vteD/VrsK8D/kOMRfB3H53xinYOPKQXOsQH8NvXbQA/m8r6LU574rTgurs/E +5hv40oX9rIw5Kq6OoF8IXo/NcvBZfL4LPoyvZvIfw8cO/I3ypjXfHBvLuAaq +xVJi/ZL8e5F/KDDHe8ANvD2Aj17VDx/1iWdFNVKtniLnIWxb0T8DfjpnrN5r +Fm+pcSyaMc2aejFGfdYVuyeXIB8t9Q5YW2TuvcH3GovNwTrqsZQevs+8bOLu +NPou7D+E/y8iN1V6J2gXbEdewfeXEc8D4JXg3XxzCX6HieHvanNe3P+OHO4j +lzKaX4L/M8j54H/L3EP1TjvmE963FJnz4v4Qcg5fa7j7HZw3wThNzDlwB79X +E/PiEvfw87RnWTXtBo9knafy1e67vsa76SH0m5FfyZq74oy4o5gVezd3k7H9 +KuteFXLXj34k512iHqgXyqWPmgwUOyfNjGZHOXyc9U7VbtWOeDJjH/KlGu1B +vyPt2VvN6QTvJ5+DnP5ic+BY1n5V42HwPL41r9Tc0jdL8deObg02ZeIKb9+p +cu/U00W15qpmWLO8oNazoB2qXTqaeJdo52v3KwbFop3XDx6l1z0p9/4F4r6O +/OrDO1C7UDtEu0Q7rw7dosS7RpxfCB5MmdPicp/mK+faaoY1y/cn5oZ2inZL +c61360SumsC3Zzx74sBscEnOu007pL7Gs3YoZS5q5l7OuhaK8SXw/rT/qzSj +mlVx+7Mqz4s4/lPaXFANfwQfy5nL+o8YBn+U9X+JdsC2rGehsdK5aCZ+Q76o +0rtDHBMXk3LvPnGyKeP/Wu0c7Z7BSnNXHFaPu1OusWqrGf0Pxocnng== + "]], + PolygonBox[{{7662, 3459, 5465, 4353, 7293}, {7658, 4636, 4304, + 3458, 7660}}]}]}, + {RGBColor[0.2900108775, 0.3192062175, 0.3421045975], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmG2QlWUZxx/25exyll1oYXfPOc85BzGZIRXyQ8Fir4Mb7C65ARVaWTqg +5hRgzgCRAoPT6BfApClJDLQpZwIGF/vixG6IvFkCClhiZgY6Ei8iK6QLQtD/ +x/9i6MMz9/3cz/1yvf3/13U/I2bcO21ORZIkfxyQJJVqH84nybTqJPlFOUnO +NiTJMj2/1/u7A5Pkmbok2at5G+rcX1jhb2v1LFJ/V5W/pern1d+hvprksNZ2 +113ZozvWTlB7Ss8e9ZfFPkv1tOkZr4WjJdDSmiTZrPfVejZVuX1lgNed1jOV +b4MtBzJcq7Hden6ekT46b7vkr1A7U++/VX+85j2sfkF7Ddb+Vfq2o8FzkWF5 +7JPJJsmL2qdabbvafj2T4n1nndeeL/qsc0V/+6jOsvGdtT/VOZ8a5Hf6tDti +bW+1dUD+m0IX7DGr2vsMV3u+Nkmeq7c/ykOTpKTnjGT9cylJ5mj8RbX36H2j +5rVqzvFqjzdUW9eu0Hdf1jbFnmNzSTJGPvlPi896pcIyY2/mfF7fnpbNZ6t/ +lZ4dOuMdfZuT976tYZ8PNP6QzupTO0C2e7De80/ofb7mT9b8i8il/vU694L6 +Y9W/rtL7YOcjej9ZSJLf4Su1H+h5Wv0qtfuzlntJrcfY48bENhmVtd3wOfFJ +zHRmrsQIMbYhYpW9OXN8Yrv2h23RHR33ac6vtOctkn+31t6Q9Thz8FU+4uRC +1r4nbm6Ufd7I+Nte9Q9GPHVpn5trbcOjmntEzzq9X8x6/Uvqby06trapXZM1 +JlhDn/X7B9hWY7LW91jW+MGm03XOZzLGGf5iHTquq3F842vkQJ5m4nOY7NFo +GyErMqPL+IL7rWqfbE6SVY2OlS8rNnplhxZh/22tfULjX9P4Gs35tfpT1B+Z +M36OyL+Pytddmr+CGND3j7VmwyDH/s7AyiTJNrHGvh9YsmxtBfuTMXRcoe8D +JPtIvZ+ocXuVxg+lin3peDA1nhlHL+xYiP6y4IxCheNpWfTx3ahB5h9kAYeM +HW/x3j2S/075YJ/2ukvtFum2tcGxjM9mRWw8o3UvaDwZaHz8MDDyUWAV7MBb +ywIXz8lWY4XTz2Z8PueC/fel19VZ6/enascwuN5TaR1nqt00JEmeajZ2X1X/ +jibZut6YPxs8fKds16f97lL7Pcm9S2tvU3s3+NH49wu2E/aEVxfrW8Un5P/h +SXL7YO+1W2fN0LyTmj9T7YeSaYLkrNeaful5rta80FZnbuIdbpqrfV+u8Bxi +G17ge1vw2Hz5abP2mqv273nH6xtqn5XfZ0qPP6jtTM0vXamx3Bb7H9VeLRnL +Bv7AIXzCmRMiR8CXvaHXPdLlWa07pu/r1V+nZ5V065HdRja7/4MGj+OLw3n7 +ob9oPIErchCYTwJTT+Xd78gZr+BWYX0pNzAfDK6KPTmXOLwQnLC+1pgnduBW +OHZbyRi4EPu8Xm9/42vsdzRsCP8gB+PwK7YglohF7AAXYT/swzf821PtON4Q +uZScu6DKeYiY/Ip0ma33s6nzF+Pggjhujz627Al7MtYR3Mi59JkLX7bHOBxB +DOEjuP3Tku1ziWOqL8YbZd8H9e1nJeejhuB5cnTf4Cu1BHwH1zG2OtZ2BQ/C +a6OLtssYtcfKnrsqZ/2Zj33ge2oD9ObhnMt6gbH79H6g2u/3hc1eC7s9njO+ +J6fGIvOJ4X7hoVPx+TedOz1yKvvOjdheoPaQnPlmk/litnyyuMFzF5cdc4vU +rix7/LGy44VxYgZ+ZU/mb5eNzsgWvUXnw4bgkDGSrZ76o2hO7wrM3lvvfN8a +/AF+4JDTUUeBk1+WXTM0lo3pjoxxDY5owS8yTw+7jSsYF+Cju2SbYJs1JfPc +l3Jet+ky9qPOIZ4eKdn/p7THVwPX4JscQKwTz92D/E58Uod1Rx/OhlvxF3ll +VdiHeCf+wD57kH/AzOONzlXYYkrMZRz+viFjvsPPByKmfyL979a842X7/EDE +wOngNHwN79BHL3yAL3aGT+A4sPlC3rXF1ry59mLk8baiMT9BbSrZ/tHkGoj8 +Rg1KboILwDlcelP4h7MmxNqNOutfWvt8k/PP8gbbZGnUJrOiDnmvbL47UTZ3 +odf8qMkucXDRMbY+uI6aidqJeq8t6r95mneq5HxyWu1U8eSWJtfH4HV/1FqN +ET9Dy163P9ZujrxFvOH7BYG1t1Lj9s3UfIZeyESd0lPl+gSdiR946b2S7XRM +7YG89+7Mu46YXOM1jU3Of8jam7f/VqpdmHdcHNfaeRnnF3h7V5y3N/jkTOTK +wwXn/7EFczRcTP1DDh6RtY+o++D83XF32RUy42PmwKF/KRl7L5Uc08wlhq/J +mdcPtbimq/6/fEGsw8vUQnwDY0/mXT88krft32m0/b+h/sFG1xmLir6TvF+y +vXuDl4iRtxodJ4zjD+L5bY19U9+2afzHqf3DHY4ajdoUvak90Bneu7XgWvi8 +ZP52wfVXX8G1yYioT6gLDqkdF3UE+CJHbNY5tzT5vvSAztqqOfenXnd12KpW +dUZZMp1E/rxlbM87PoiT64u+022Ne92t2m/IUOt8jfqHh7iWHRE4w0fwDzxG +DFFjYmQ4ZXHG2GQcvIJb8i6Y4x3cdUaMDS06hoilzWrPRB1OPU6NNirqQ85Z +HHvC78QqfESNurfW9oAD4AJ8Ta03vtm4m5a6Fv+62plFz5+h9kPZt13jf1X/ +9qLtRH5eHnUj+YX6ojJi5pGIk9ejHpkXcU69Q60I7+GD7Q1X1hBvxCQ1YGvc +nXvinnDpzj7Iscsc7E4OAMO7Az+ME0PwM3v1SLn/DjMndUQNQD3AfYr7CXeq +26L+vKNoLu0P+3O/Pxxydce/AnI+GGqNPAeHMYe8Tr7nO3I+ljpeV6a+Q8Jz +94uLxuVcpz6Ret27sRZdqUXIQ2vjTgh/tsR9iLy5Jep65IdfaeEu7pWsvXwX +QS/w0BN3kT1RA5NnweBCnb1NMixKbRP2HB53aPSH55hLHzvAo+ejj474gpy6 +Je84ez5vOdfWWNYHImeRu/49xHgAC+2Bo3mpcVIZ90FkwY+X/48sCI7lfjA2 +7t37qYebfFefHrHGPPIL+Zp8vyTu6djw5tQcC9d+ssl3Eu4jw6Kuo75jb+50 +xAC5n3VfzJkn5obdXi16zsSc4xBuR3/ucSvijgdvgqHvFh3v5KpL+SBjjkCn +vuCoL2ifjhrjCFmpPS/Gv4Fr438PXHEscLInaumNcbegnuJc5uGvl+O/x+mC +5URe6kti6p+pc++6uAeR0+hjq0lF7zmxaP3hSPgUmbAjuMNOSyImryva59RT +lfGv41sF56uHam2bqvjv8R21LUWPNxede9kLm6xu9D2c2gc7/6jWtj6fun8u +9T8DYpgz4PBx8b+FehkbgAXkxIbEBv6g1kVmsHW5ToTLwSA8Bb7h4UucVXB9 +wz0enukIX1Ars0977sodHl+MzjnncOfG/50RA/AgMkzS9980+85G/Tc1NRam +pK7XXotajnieFP8QPg5+gCf+B/zM6MA= + "]], PolygonBox[CompressedData[" +1:eJwlllts1FUQxqew7dZets223fuuGG1ihBYfFKz3KLYUtUDRgle0BSQYWk0s +XqBNjAEfUBGjghQDRn1QooAvJBYQWy5eE8qDIirQklhty1UrxZbE39d5ONnv +/M+cmTPfzHfOXtXYUt88wczWMgKMxQmzczlmUyaa5YOfYpxnXsG8APxS0qwr +iD3jvrjZurTZy7lmt7D3DfCLrO/NdpuV4KqIWbjMbE2h2Y34uSdl9heBdrCn +JuU+5GsWa1+D/yVGbdBjLgFvDpt9gI9NIbM5jJPM5+HPrsCe+YfFZg+UOf68 +wOxVfCxnbzc+VhF/KGq2HlyYZ1YZMxvQeTnLr+wJXmn2HfMW5iHOvCflOSrX +Wey5CI5hswDbAPHaWL+Jb8fwfzPr/eDjnKeX0UX8fYwXlD9r9fh7HvwINh/L +niM/DG4uMdsVcS62FXEmfG6EiyZinsB+lPEM8+tZryWXecw/xV8V/maDNzGe +C7jNGHgjNu2yZewDd/BtOOg2sr3At+vy4U3cq34ZsxWsLeGsK8Gt2Dwb8DOv +ALdgvzTknHwLN8Pwd1eB+5wOf4N8m5TtHA6BN/NtJ2dZSi5D+Oshn0q4/oh4 +Z4l3Ju3cKeZp8KPUq6+UXIhxFB8d4o/5jxP9Wxs+loWcn9lx70H14kziD4OP +4H9qnnN6nvlWuHwPH3XqBUYx/O6lXgdCHrcJm7PYTsZHHngV/gcCHqMd3EaM +phznuF61Y/5TtnOyB/wnYw3rRezvB3cyJpnb7AZP4Tx15H8r3yaDI/hsYK0d +/xvADyWciyrWF4At7Bwo98/g9e2M98ou5u+Aq1OujfEa4H8DZzoT9JgVcH06 +41wrB+WinlBvfILNXPCX+B+Fz7V8ew0fi/HXg78s5k+Ca2LOpTQmrd3Lnp4s ++JSe1V/snwqnC4uc0zR8DsHnJfAI4xI2ywN+pv/A72Y8V2lO2pM2T4RdC9Lo +IWreTG6DxL8cdY1Ja/r2Tdo5FbfSVBXneZD9yzj/drjpDvke7d2N/Z2cfZT9 +P+R7T6u3b4u5ttRz6r0O5lF8NWG/E/9HsXma/a2c+WfwYMZ7/wg5D4B/I14y +7P0sDZdHXKPSpu4caVBaFIeL8L8Fn/MLXbMVzNex3sq6MbaC6xg3gBsYv4AP +YvNWjp95DHx7zO9K9bB6eUbCtXkYPvvItZzz9Bd7T64mznri1fHbyfnLUt7D +6uVq7P9OuHbeD/vdKA2pdpkSr5Vq+A82NUG/0xeBA8TvDbomGhOuMWlN9/MF +YtXGPBflqFyfIOb3uV7zheBuvlViMkJt94Mvl/odrLv39ZDnoFykmXJ8NZBP +X9hrOYE9I+q5oOf0Jvsv4vMVbHPgYwR8N+MUsbYRcwb4jphrSzXcwll/T3rt +pLnj4CA+ri1wH9PxfSrsMRVrPzFnxvwuV0zFjuBzda7XSLX6Iu29ojdJb1M0 +470mDUvLh1L+dqiGquUf5Hp1md81qlF1zGshjsX1Y6lxiY9z9ji4JOPaFmfT +sG1L+tukN1Jv5Xx8zS32s+rOUu9nhf1ukAbmJF3b6mn19o60cyPNbk/7m6G3 +o55vveBpCX/HxYm4kXbHSv0ukIZPJt1Wd7bu7rqka193+v1Jvzs6w15L3SHd +Ka+Ncrom5j2oXhSHUeWXcm3pP0Ap+Fza+1bc6G49mPZeUU0PgLvi/tbrzdLb +pTtJd9NhvYHgY3HXjjQlbTWmfE1vuN7yr+L+1o2/Scz/B2DPRQc= + "]], + PolygonBox[{{7663, 4638, 4306, 3461, 7665}, {7667, 3462, 5472, + 4354, 7294}}]}]}, + {RGBColor[0.3284250725, 0.36217293250000004`, 0.3856989525], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmH2Ql1UVx++yL7L72/2xLu3u7+X5LeJMVIhaWSOioE0BAhvsLpE6NZWI +kRVvOVOTL6BlE800gOaUSoFazTQoJmQzzSQDiwkqsSQislGZSYIJGPIurPX9 +7Pcw/vHMOc99zr333PPyPec+I2cv6Jk/JKXUX5VSteiQ2pQuq0vpLxr8V3tK +wzX2mVJKvRrvPS+l79Sk9GPRZ/Vs1tgd5ZRmif6wmNJdZY8vEe2ss9wqfbtf +/G7xozT3mOhRPZdq3R7JXajvd2ruUsm8qPFMMgs19hvxe6TTQekwUrKzs5R+ +IZn7ND5GMp1F63Kb1hjVmtLTzSn9Kp/Sccl8VjJX6dsGPTPFXyN6tZ4u8Z/Q +Id+U7Ic0Z45k+7Vuj8Z7Cint0viHNb60KaUT+jZD4xM07xXJTBffJZljssW1 +0mdSwd8Yv0xr7pZMp/gZBe8N/3GNn5L8VMlfq/ET4qeInyx+dENKH2mwLQra +63HRK3Xuz5fNzyrb5pv0fE7P+lxKB+pTWiy/rGtMKSc+E18relrP+OTv++vt +y1vyfoevH5HSBS3SvaL50nOYxo+KL4lfOjSlouhUPU+JnyJ6WPr/XvwO6X+B +AmCEnnfztmFDvc+zRe+N9daja6j3fUV77cls526d8VN6zohfrbM8I7u+KR1e +0Lzh4l+WrX8kO7/3AcWcxp/UmY5Ip3s09rboLtnmHq17u/a8vM564s+7tdYW +rfk90S9onTc0d6vWfC7vuej0ZY2fP9znPKR18mG3bXnvf+69SbQi2p3zvJG1 +josDzY4N4obY+KTscFLv3efZBsfEvy5+fI3t8FzY4had/WXp+fXM84lHfIq/ +0BFb8Z38Is/W6Fmm8WW11gnd0GmJ5lefL/+M8Bm2hc590vNirbVddEyj+Xvr +3n8nV78yzL7qqzY9k/c++OHTkhkmvkvyA3pmcG7ZZ4doTnSBvp3N2Q6nRE/n +HHvTgp+aczyeinHe4cGKi6A55yg5jE7og87w7dLnvcwyA5n3Zq/dVZZBB87C +mfqCR6e+mHs2dEa3KtGkp0+2PN5uLNkoPFirsz+uZ6XOvLrBMUls7gOjRF8v +O6a+P9QxjA6La5xH+JVxfP2a5LrFvyp6UOu8pecJvV9X51jcXmMMInc7qr0X +8uQaOcNec6odP+xPXvAdflqy/xeJv63Guftu5O97ZY8PiO6UTi8OsX32KUce +Vpz36FzVLc4Z8iWBey2OobXnOeaIt0fbUnpE4zPzxhkw91byqGBbYbNfS2ZD +s21FjoAVd0jmB1qjudq+wyd9ERsbtF6V9lsu+V9q7mq9d4ufqjU3Ke/KHd6P +9cCPnxdsj3/qLBdnPvdq5fXeou34N9GJGv+tzrte48eFjWvxuehRPY+LbxD9 +g/a6XMqMBY/LrgszwYDMsbs1s0/ABuzMGuAxGM0aYPDkZFs+XWN7zmhyXWDO +77T3HL0/VbE9RrX5DODfrMDAQtiVnJoZ52McHJpf5zqIXcjzZVE/8S15Qd6R +c7yTy/mw8+IOY/Qdoiv0vVnPEskfifxdE5jQFFi1IXOcvCA95+vbxFpjY3vm +mG7NnL87I2ZOl1yDqEvkKftjg0U667jYr1syb2DnivVAn0Oik8Mv+AccfqnB +ufFu1Jr9Nc6bg5E7h2M93i8tuN4fk3+fqHO9peax56EanxF7Y1Pec+H3m0v2 +Nz67SbSx5PlzRfs1d4+ejbWOhXFtjoeBkmsNNeexc3iq52TMZY3/lYzh1Hli +h97iwlhrTPhof9Fxf0B0U9F7PVD0Wamv2JT6uy5nTBnXYLxnnc6c8RE5/Px0 +2PlMyb0BvcNAYN2MwEf2BTfAr1HBl2ucd1piENvIOb49W3QvtUX0u2X3YHeK +Vmns24FFbfLZH2XTdtEHtWZfjfFnVYtzlTztb3LMMn40eiiwYLBvanOtorca +EnY5WzZuPFR270acoM91ZWPN9aI7hvoMYAtzdw31fGxPn4DvwWrk6OHmZJad +UnR8gan0ePRBrIMdiGHGsfnO6G+wJ+erC5zE5vDUIHqw+nrHGHEET/7Xhe/G +Bw4MrTcW0JvBgw9fy6zz3Mw4j07Edmvk1L3Kiyt1rr119g+Y0RP9JL3h9OgP +wXXGBrE99mB9zs93dCN/qDHUHeohNZK6dn/YFX5p1E7igL55ceDVDZFbvNPb +dkZ/Sz/SFT3JQ+GvlWX30a/FWpyZPgUMvCmzL27MvAffwflHW1wzwLZBnKq1 +zZ+rOOfBHnqHaXX+tr1iHOmrOJ6IN/qo65scl7yPKvg8/yk6nogLcu3VqK2X +aM2Hi8ay5aJP5hzLYPiNoefNmfF1Sd42oA6fjnw8DF4JK9/ucE7QK3MPQe5w +2Auf7Y169rPIEXIFvCOeu0q2PTyxd2XJ8uNKxld0w6dzouen96dvndvq3rW/ +aAyeLnpFg2Oe2D8dfRG4O7tk29fIHr1xZ+HusqTOeQ1ecMYbwt/Yd1qMP69z +r290DQC3yI2R0aPBExv4EF8TP38qeu4zohX59O+t7oknlywzSXSg3TmxteK6 +fThstl/y/2h1L8va7EdukosLgueeBub9V3Pn5d1rgcMrg6curhpmXKdWng5s +PNdDYo8XI6enBf9O0b3emcxjnSF/aWYs+2hm/9Bf4qOuwFHqDnuuDR3I987A +YfB5YdiKeJ4aPSr+IVfIS7DzusDP+yruCX4i2isbfKnVPffHGrzurKgX1AUw +k1ilJhPz9CBgNfhGb9wfssQPmEA/uSfG8f3+kjF+bMk1a3nUfeoj969Dcb+m +pwADbg/MB/uJiVXhd9aeGPFJfYY/d0+5OvY9WXGcnhJdWbAPu8q+204IO9BH +ksOc5atxP+WeujxqKXamT7omcpP9N0esIvNYyJHzVWHPg/GNuZyHWk88gPvg +/5my5ejbWLOn2fdD7j/TI6fauCMU3SvdqZzdrO/7Wnzf+neL37fEfR8sBHe7 +oz+kT+SONj7w75GidZtZcJ3rjnsZPcu4sP838rY/7+TlqqjlxEBv3MH74z6O +Hz9YMHbyjwR8oX/Ar+TfksjfNWEf1n8g+orNRd/JlkWPdzb6WPrZTRE7xCqY +uTHijTvRmLj3YdcVseZF0U+QF98q2fe3il7e4BpH3SMf14T8qbi/sT7+2h64 +jT/BoEGfBib/tWjZ3jjv2AbXVmpsc+iAn5sbXPvRY2HJsbWo5P9B5M1P5btv +luyPeSXPWx5z55fsvwUl38HJbe7I+Id7LDFzQL7+YquxkP6L3CNmnox+jDzM +xz2fWCEX6Z9GRl7QvxJPB0IGeeoPdzbqNr32kdiLGs0ccod8einm0gvsih4Y +ex4Jm9IvHIy7IbUJfn/c6d4KflTo1B79Hr0OOQAdHfyOuIeDg5cUrDv/vcAr +6go9Az0bc/D1uf2og/Sj68Im8JyLe1dj4ODIwHJ4sBvZ9WE3bLI+etqxBfvy ++cz3NHBlSsEYTF0nXq4oOc7plx/scF1+QPT5is+6oOh6srDJMQJ2UnOJgz9X +PL5NdEXFZ+LfGHpSo9DtRMX/3o6LvlOxP8EA+prR8a9sXcU4Bp5NLNlm1BBw +jB4XLCO3u+MfCGPcm+l90Q89J2Wuq8wh/sEv7m5Z/BNaH+P0OOACmHBNwXWT ++ondBu9uNa5B8+JOeHeH+bs6nCvkDHhKn8J9EhlsAqaAJ8hMCOwiNohb4uVg +h33IHZr8Qx4bDkSO4FPy+6rAN/J2RvxLGfwfF/WR/CZPKoHDxC44wD5VkSOs +A17Q3+CL7tz7a3THXsT7qsgR+rKq+Pfyf/njBv0= + "]], PolygonBox[CompressedData[" +1:eJwtlmtolmUYx68532069+71Wdve48ygEVQqWWwqQVHpnJrbu0w7WDGnZuYp +ocDDpmGwIEwtyiFODYM+uEozCMoyS+ehskhDsyKb6Yym1Wajnez359qHG/73 +c1/n4zO6dll66RAz28oZymlImB3ONnuFUxUzS5SYHcwzeyRkFgdfTZlt4P5z +oVnOKLN5cbM9WWZT4K0FFyXNViNoQ45ZMXgBZwi8p7g/DZ4IzTnoJyG/HVzL +t9HwnuR9Hvg15M9E/gFkRLl3YkNxptl56YB+Dva1wDsJmQ+B12LTGmgXhc3q +wQuTrmsLNP8Wm22C/3l4Mzi7wB0lTns2w+xPcJpvZbzN5pwDx+BvzPFvemvF +nruxr2eY2VHw5KhZBfey4WbfQ9uBjh/Q9Tr0Y3lbiI3vgqdCswD8KHH6PTA7 +gs5cZHQiI3+Y2/wPuBkfVoFXoHMAvJNvc/C/iftY5K/l2+fIn4W/a8AV6KhE +9gT0n+Z9PjpastymOvAw+G8bYbaZbw/EPYaKpXyKg0cWIA+bToTdjv3Q16Gv +A5oK3vvw+dZcs4vwV8PfxL0BPI3zJfgXeFOB18BRZPRBM1Ox5n05+Ag007Oc +R7xp7E3zXsMx7C+A5q5M/3YdPMCpBndD/xx4Rdxl3QlNAD6KTdu5f4tNA+Cp +nP34shjdy5G/BJou3u+APgJexrnGfTz3keBm9H8I/aJ8syvk+xv8XYHtEeL5 +KbJWxl23bJJtioFiIR2V4IuB51C5a0Xn7ojZY4WO945wndI9HR/+Uyyijmdw +euJ+hGXTUvDVkkFb0NEAbqN+vuO9kfdSeDMKXYdkv4qOyXGvfdGItj/htTKe +bzPw/zInkjnYU9AeT3mtXkL+MfAO7B9XZPYUOqvDngPlQj22hffH0bf4BrN9 +6DvGew3v7/B+E/FJJzwHykUV3/qVq6hj5Uy5U4wV6we594Kroo5VE6qNyUm3 +5T1snpJ0m2X7aeWEezEx+DjPe+weeGui3qvqAfVCDfTl3F/m3s19LrG5gL1p +9TDfpkS918rph1PIa+e9VDHkvQ6+UdR7B/de7j2cRuQt5fsR7FuPf7M4e8BR +vm1H1iruLwz1nlsNXod9S8Jug2zZyr0h7DIkSzlULkWzHrw55bNPPbop5TNC +s0IzspN47CIfb5OPbYo15xZsuxxxWxvxZwz01fBPg/92cBu+vhU47UnifBk8 +F548cnycb1/EvDfvI38D1McTvKUj/qYeb5OPOd4D6oVnkh57zWTN5qq497pm +mGaZZqZmZwSby6Gfn/TZvBIf68CH0HcmNBijmMdcsdcMuoasC9h3KfDZoJkn +m2RbLzLvjfrM0uzSjOyOew+rl9WTXxOvfSmvlTPM573gVuhHDPcdMQb+IYHX +gHL/PnLr8e9QyHfWOnCMnfRkoc+2+qTvCO0K5fhhcFXCZavGq8E/qh5CvrPO +go8l3XfNHM2ez/g21tzng6pFbAbaS7xP0KxJed6Uv/qY91Jm4Lapp3Yk3HfN +eM36n2K+a7STtJvEI17ttNm8h/DxSsh3biX4xYTXqnyUr3/EfFao59X7qm3j +bAx7jbfH3DbK3m6O+s7W7lbNNoF7k74bFNM+8HXsPRD4rNkI3bik75465P+m +fRR4Dar21HOfBM4jWuncTS03Bz5b1HNdMd+F2tna3RN5Lyj0/lUPTY16bSvm +O3k/QfyW57nP8l3/HPr30A45HPMZrVktmq9SbpNsU01fAOfC05btO+BZ8rGN +b13ZnrOyqM++Gwu89zUDexNey6LpS3jPq/e1Az9A/l8pn33ab3+D3yjx3asZ +9Sb414T/O6hHz4P7k76btDO1O5eh66Mi97Ul33u1PfDZqp69P+650Y7Wri4t +ch7Raib8D6hlZlI= + "]], + PolygonBox[{{7672, 3465, 5479, 4355, 7295}, {7668, 4640, 4308, + 3464, 7670}}]}]}, + {RGBColor[0.3896422375, 0.42122897000000004`, 0.43963299499999997`], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmG2QllUZxw/7yu6DC7uwy/PczwsjNjKVCslMo7A2IyK+BIW7C7sIfNAG +K0d5ncmslMVMmqwZBWvCSChDaqJoWnDyi34QCFJ5FS3wbdSRROQts4Bl6f/b +/+XYh3vOuc99znVf57r+1/+6zrn49kUdC6tSSmeGpFSt9v5iStvqU3pA7Yej +UxqrsZlZSlfr43U1Kc3S+yx979IzRe+1LSlVtabUNyyl59SvVf/RJsnT9ysb +U7pU62o09qy+PaLxn9Wl9Kq+jdPazqEp3aD2VsnMl1JaqffVZa+bqOdefWtu +SGmy+t21KZ2t9ziy9w/1POask8zDGrtc/ZMaO6o1D6j/rvbQpXlvq12t79WS +MVHjv2uTriNSWit9zmluv57p0uEO6XBA8+9Uu1oy89Xe/5+0doHer9H6a/Mp +fUljA6OtD7rwjlz67Bcd+YZuW3PWp1dGXq/x9xu87x9J3n7NqWjOCY0f1/Nn +jY9osE7owxj9g1rbo/mT9OzR/CeKlr9O7TvSY5TmTpOPrpJuE9T/WGPf0fs5 +zf+u2u/p6Vf/PrX36zmv/vLMft6uPfXoeV7PoVrvZZG+98o282LssJ779N81 +FdntopQytf36fl7Pplo/+PZRtQtlu39oH4vU3jbc8/bKJj/Rv3bo+zo9z9a4 +fV2YOylZd2reKbXb4l/osk3/OVVrHX5RsT6PV+zjJtlljGRO1jNV793SuVvy +Z9f7fY7aHj3Xqz+80fOxS3u1x3rUn6vvt+qZpvcDOc9bq33P19i8euMSO/D/ +B9V/rsZjb0jnMxp/t97xAO4XSO4Y+WhStWNituQ/NNSy5yTbmL2BYfrgGZtj +k51hF+aiDzqCEbDy1hDrtj/nPYBlxsHPXU3GFXNo34/+Msn6veS8OcTzGEfn +bmHlM/p2fyGljXWOBzA7V+ObsUXRuMFOX5fv1uGTGvsOH54e7v4qyfhDrX3N +HMbx/2nNfUb/26c57Xr/y1Cvn1Fyf7rapbXGOHi+XZxwTJzwkmTvUP+E+nvV +HyFc9km/u9WOL5kb1pcdI31a+4Fk7ta8lcJHXnubk3N7iWRvkS9Gq1+R/Cfy +tsc7RXNCFjFYqPN+ieV9Tf4n315sshzWP605bQ32xeCaBvt3pNprG+3fFUX7 +8IeF8G+9YwS/H9Sca6rdvqJnhcan1fqd/lbtZ4H0f1rtGyXjbZ70vbHkPW7R ++PKKfXyiYl5EDrL7ctYJfdAR3KBna4OxTUyA1fmB4VENjgmwif7gEy5HH76j +52fhZ/HhhiZzxtSQw3d0Yw6cMTfihX9d1+g4QoepjcY59ru+0b4Ah/TBHDpM +aXSczizYTstlvx8Ujf8H1b5eMMe9oXaP9Ng6zHbHN/gPPsc2J4Inj8Y4tugq +GvM9RXMmc8AJ3Hk8+qyhD/bQE/ygG7kK3IBnOPL6sOcN4TPwV100txyWf24O +H+Er7NXVZCz1au1X6sxtj+v7HMnfq/7hgn3eoXZhk2OhPTiO+DtQ5VwGrw3m +jhp/g4ex+bTwUQd+V//lKnMJc1jbHHw6OF4wX69RO5DzPObAtTuCx1rUrtZz +ssY+IiYvCV8ti/7S8B8csirmr5CcqmH+Bm8j/0LOnPZr/a8K7hSGb8nMo/0F +89z24D04Z2LssTdqDGoN9J8RdiPOsXdn3nlgW+SdbcGb9PvK1uuXmjOk6Drk +kHwxdmRKF480V03Rt5H69wsl2w1dscPigrFwk8arh3k/3TnXBV+s8xzyK3kW +zuS/A7HHfTnXLOSdnQXr/FdiP/AMrrEvdoV/Zl7kGCQWZwc+wSmYHBE5vbNg +XPcqxv8oHl3cZB6FX1eFzSfLniv1r/cLtj3rsH+X9OnMWRZ5+JHIxfi3Pdb2 +Ry3Bnu+pc3yxv03B4cyhdro89kVMwTnotOwi4xVZq8qO71S0bZ6LPAjm8Bv6 +sD8wQ0x1BOYLsvODFe/r+xXni03xX2KImMSXtXnXOy+UnW9PBT4fDU6vBAfD +CfAecQBu+P+LZe/zWf1rr/pLpfeesjHbEv9CHuO8I6Mv5JC3idFBmVpf06wt +jnHNSZ0Dv5+TrIfVP6t2dpNrRnzUGfgHX1OHGQ/ohLyqsPNLZdse3MEHjPMd +Dt8TNtw83L5Hbk/OuOwO2QMh/z9l+wS8/ErPEuqtgvHLfGKWGor8i274jNw7 +iJ9G74e9IJc1+Ku26BrpNe17RsG16vmiMVYVMslXcCD8Q74idyKX2hd+er7g +Wui6yCnUstTM1KPMY/7e4LTq4KJDkjOryXUCvNkV9eEV+uf4YeaOMaoF3mw1 +R39b+D+rsXvVfivz/+7JHP9gZ1bRsQJWwAl1+obgZGIWudTw4GlVzGFPS4Lb +qa34L3PB49LgPTCCrmDkG3Eu4HyALlMinxYbXEOQozpHuI6hnqC2xxbNmlOO +VkODZ59xYaN++fTHkn++7PWsA+MNRedc6oKbIy6Ijw9lk7daXfsMGWrMgbcb +Mp9V/iVf1BddQ76utR9o/vZW1zXEEHXW6KhzdketMzJzrbMsc+6iHiVXtOh9 +q96XZLYNNsIvl6l9OWcuP6dvW8A8PomajdqNOOgNPqdmZS3ckspee6HksQMh +M6fxY9TZWvuFknPnlWrnZx7nO7p9cm6gTj8Q9fCayHc7CuYw5pNfkL8v/kvM +3RPxSK1IjGGH1cGxJ4Pr2oMvqOeIlZ9XnDM5A8DrxO2e4Ar8VYh68hmdJa9S +3plc55gEV68VfL4c1+a4flX9ha32N+fBLTnX5dTi8OW/y8YFOoNV4rUruJ36 +el3U3sQUfeKamqstalVqMWoyfHa84rqX+hcMvh3nWOLstpBDDUstiM+oy6jP +8OU26big1Zj+pLbGVmD4tTrj+KbMMm9Ue03m8fbM9eNv2xx72Ji1cAhnQXIr +8b8wc+18Vu3izPVgf+a9H6mzv+DVrsi5nZnHOzLLhL+IX/xBHx6Dv+CxW/PO +aZuCC9C7J+ZjR+SSL+7KfIeRyzuPdERtsDRzPTuQmVN7Qv/O4GDWXoici26D +Pm+z37Ej/Idc4uWK4JN9ZWNrv9pXZJ/PtzqXUBuB/fMlY5a4Arf9YZOZed8h +XBl3HRPy5o6PC7YdNvxq3nmV3IEOa6N/OupP8Ap37So4fv5W8PfNMX9d1IPY +EMzCieTsFXHu4PxBDXYoak182Bv1KvwD9/DOeaE7zt1Z3A8UK87jxBb/mB05 +E86HU2kXfHIWr//0HE+NDa/uLDnOd5VcczM+R/vN4o6Iu6Jd9Y5NYhROnhX3 +UcU4M5AvnxQHbmwz9uGLqpzPt3A5NTc5j1gkH5OLHyu7bvtp2bHOOPF+ad45 +jbuWC8GZcOdlwYX4jvPZwTijUXtyvuYbMcn+8OtA7Iv9EW/sFV8ijzMH+CPG +qPfIF33BFfDM+eBkuJl4hvPRaXzenMFd3UBg+Ja898d+4cV/ZpY3KfNY9f/Z +gT5zqe2o8Tq0diDul7hnujrvGnGA2lkY/lyrcyz8tSXsRrs19KSG3Br8xpkC +HoHjqNGp1Xvy9hN9YoYcdbTFeelUcDC42aixp9qMnYeK9vfKonECX2FP5MBj +2JAYpI9MMNgcd2hHqHO0v/eKxh19sIf9kYMP1sfdCrx5Ju5FqG8+LrsG+ahs +nzRHbZO4y9D8C5LZqHpxrHQ9U/Z93tuR+0e1mvfhfO5Ha1pcU2Dvqtyn95e0 +4Adcgx18MC3uEai7wO9vWozhcXnXFsfki/ekyIYW11Lozl0P9UxZuj2sfqlk +nMCt4GN5ybHx37Kxyv+Id+5ij0RdwpkXOYP3RTnHLvxZFfkWLB3XP7/W6jM6 +ZwH+xXmA+9djcZagFgGfHxV8XoF/4U94Hb/An9SqPXFf9OW8OeXJomtGajfy +1Om4P4TTwcJTLcZDc5yhpke8DNo7GZtHRxif8BU+gqPQ4eU4N80r+j53vtq7 +ZZO/c5dW8vmBc8TusmOXcXLWN0vmCWpk/ELOxUdded9Rjqn4bAY+jqptr3dO +JGfeIX1aRtru+J14I+64Z5gT95PNUUctynxPjS8nlBzr5PTJwZP0iW1qO2q8 +ufr//wDAmDWi + "]], PolygonBox[CompressedData[" +1:eJwlllls1FUUxi90pqWFFhhoO/OfmTYQIzEaAR+MbCYiUdmUpXSB1gQUFywt +SyKiYguoRNFERI0iCQIiGh8wKRB5sQ9WZN80sipEWSIgiGERaMHf5/dwk+/e +c+7Zz7m3z7TGCQ2dQwjrWDHWslQI83JD6MxaA05FIQzLCaE2L4T8NOesSeAb +0F+CNo7Vl3v3dguhIBvCOe70hP8Y9GHQ6uD/Bv5h8RBqdJd1vFMIX3NWCf4l +E8JDBSG0wH8d/hhnVdBusn+ZfSv0BHfnFIawD/mH2D8M/yboHdAvo295rm3o +nwTDs6QLuti/D+7J2UnkXYfnRfifYF8ZrFO6b5dyB3ov9sOhdUH/FPYd8L8G +/xh4vkVeQ1EIs9F1BZl3YM8S7LkKvsrZR/Am8fkK+CD8w5G1kbOb3N+bte2X +uNMN+YuQ34b8avYLwWn4Wwn8UnRkwSnWwph9iMD3sVaApyP/FPxJZA4FT0ZG +HvvPkLkF+ozuIfxdFsJizrYiexv0N8C1SeeujlXA/i1sbMS27ezfZH+RO/X4 +doKcXACvgj8FfTo2b8L2KviHsH+HfTv70dhzKeaYjAV/yNm4QvsgXx7Bvt7B +OXkUPIOzn+CdD/158NkeIdxVTL2hczo8i9E5q8g6pEs1olrZgH1TwJPTxrJJ +tq2Av7nIPsiXJugLYo5pM7hPL/xAfgc87axm+BfF7ONCYdY/Met8HRxLhPAk +Nh3BhxZqOBcZNchqR/6r2N+IzYexPwebXgDHObunawjnodeBN+J/SxfXdAv4 +X1Y63zqvgYvhGUS+KpDZCdlrWM3Q5nAnIG8yPlXnWad0T0k6t6pB1WJ10nfV +c+q9GtVvnntEvVKC/ME5Psth/yMxGYttI+QLvLfT1nU/Z+OhdaBzJbg7NXoL +vBobawpdYwPZlyJvSI5tikt/2r2qmq8Cb866NlQDqoWRrHMxx2AU+BY6ViG/ +HBkd4POst3M9EzQb+pUQe3K0gXpdSQ4moO8M9IPouFDqGCvWh5A3E1yfMVaP +qlfnR5498lm+z4vc24qxYi0ZkqWeHJB0LcRY7xW5JppSrjvNpFr8+Y7850Bf +FjfPRMWf1Mxmvzrlnlfvz8Xn/fh+IGusmaTZNDTyrBuKvD/Be6C35zsmu7OO +gWIhHydCv4Z9R/Mco0HoeiXyrFPMFfsFkWtPPa5er+T+YPbVrF9Tzqly24mY +jAZv5exI3D3wA3gH63F4m1krwEvS7nXNBM2GL/D3qxLHvlI9iO8Tqf994P2s +i9Cf5iyV77MyeqQ27p77FPxbyrbojdBbcR7+qfCXwr8bnnXImlZsvBE7z0L/ +i7WH/S7Wzoxn7Xru7wA3Rp6VmskN4O0Z1+YA9g/g38dlnpWtxPwT8Fx4Nise +0OeAL5V59qmn1duy5VzCumTTSeJ9IM812A95syO/HVXcnwXeSY7GBOdsFzgq +D+GZYvdwE7bMjPw2TYKnHpzJeFYrJ8rNKmJ6A/kP6k1B/mHoIwps4+3IOVAu +1JPbNEuJfe9iz1PNvHJsbit0jBXru2V/D9foUs5PMUzXJ5yr/dTEWeU01zP2 +TvTdyJpP/KptvRF6K6qx8Uzas+00zJOKPOP+SHvWV0A/Ce5IezbLh1tpzwjN +Cs28Br2PrJ+7euZp9p1OW7beHL09x1LuFb1ZR8ED8a9vL8/eqeRlMHcQ97/N +Q8AJaG3FrjXFWDWgWpCOkPUfQn8Jzajx8H+fcmxV423gy1m/vceRkU+uBmTs +i3q2vzA87+a5B7aDxyddK/oz6O/wbMa1pTfpOfDatHtJM1mz+Snk1hOvTdiw +V29E2m+pZEr2hKT/Fsqxcl2X9F9JM1SzNF7sHlDtL+P+Y/jwe65rULWo2bel +xLnXDDwBf3nCPqlHPk84hopdRZH/FPpbSMbIyLOqNWHZmlnpMveGangUtoxL +urb1B9Ff5EtkrU1Ylt5c/QH0F9Cb/QH21kZ+yzSTNJv0R9FfRTVZAV6XcA2q +9lRDTZH/RvoT6m+oWXEh4VhpZih28YTfUsXwP6+Xeb0= + "]], + PolygonBox[{{7677, 3468, 5486, 4356, 7296}, {7673, 4642, 4310, + 3467, 7675}}]}]}, + {RGBColor[0.4543818125, 0.48277035000000007`, 0.495164225], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmWuUllUVx5+ZeS9zgUFnHHjf533eAQKBD8mS8gsuBkqzVEDUEIRBQMRR +8kIGmF1RUBR06aqAWpoGupblJaBaDWS60tWHGUArQWBaQd5viSY3u8L0//Hf +rD48c857nvPss8/e/733/5wZvmDx5TfXJkkyRH/q1D5a0Z/6JHlM7WNljRWS +5LqSxtqT5IGBSVKjdvppSbK9LUn2NifJoZYk6VV/l/q7cp7/stqtA5Jkt8ZG +NiTJ6AbPHaV2jJ59zR7bp3X26lmu+dvzkqNntp6ler6k526NF7T2VC3fI12G +6XdZSmq5k+u9oudMyUky64zud0q/xRpfoXa8dFmlb/Zqbz9otk5rJbeouReo +36p+vdoGPWeqf0Jz+vVsyntPH7d4naNqv6Lfe9R/Xnt/enCSPK7+zzT+lPoz +1V8wyN/vkn5V6bNGa1TUzm+y/Hlqz1Y7Ts/jBevA+ujXLl1/L9sOVTtWvz/U ++9GSs1L76SnKDmoP1Hs/OX2zt8ly9qg9oN/79fToeVr6PCl9ZjXbztj4Hsmb +p3dH1a7J+RvWQP7okm351pAkadHv1eil39PU3qHnec17sGz5O9R+r2zf/FXt +E3p/TsgZ35okE7TuRI3tq/V3b9VIt7J9OKNsPzN/bJ33PS3kn97o/SCHNS+N +8ctkj0VS5oWc3++JOWNjD+MSY+22wNuLZcvcqfa2NEkW6n2t7PZN9a9VP6f+ +t9XvUr+g/q3qX6P+6bLBi1rnq/p2h/TakLed0B99Dxes84Cq+9fru+/quQ7I +Sc4R+X3DIPt9c97YAWO9YTfsdyznOStlm+36vVK/p6u9RHsfLh/9VnLvKxjf ++GGqxodp/BmNvap5s9S+pvZZtefXeQ+Xas4IzXlOY63So0t7eDOzvS7R87b0 +/5vGO2X399XurnO/S+1NcnprqzHSp+/ek4wx+ua/VeNlptbqV/9++eBE1bho +ibgj3tZofJT2Niz8gS/ywmNOz2z55qbMsX1DFtgL/J2bC/zKDvuLxjnfPxT4 +Jw6+qH1VtUan5tXq+yWSU6P2sN7dIBseabev5oWf3tbeZmrOZzSnd6DX4t02 +6XFQclbUOh/Qf1c2OV3zF2rtNzR/Y6O/Zbx7gG0zXPPP0kYPKs67Co45dCBO +kb1Ua5yhtkMyDujdUHKU5hdaLIN4JZeh/9ySdRohnV+p+tvdaus0Z6q+u6DO +vppRb3+hC/1FidfDltiqs8l9YgsdybPomTX4HeNXpPbj9NT5hrxDTps90HHC +N/iYOfiN91fHnGWRB+lPk00+1WCsncprYBu/M39kYO4LdY4B8hrfEi8ft9uW +G7TvPsnZp2d1vdd+OXTecyoPJsb7mwXndGIkLXgtcgBxSB4AC3OavNc2+e56 +2e4t+e72zPg9XjU2kQU+dxctk98/ClwjHzshh/rC3tF7mPSZnHr+xWp/Ir3f +kf6zK8YWc9gX2O6Mbyel9vvE1LaYH3LAwYGIk75a+4RvyU+zIkdtKTgGyCfU +OnBCLnip7D3/Qe2XJfcR9Y+r3y3bHWq0PDB/R7OxTZz1noqjvGsAcnqj3xNt +b4wP0L46ZZs/ylYPhT/A0cPtlvljtRdrbL5s93mNz9L+N6l/VcX4xOZg9bXM +cxaULLsndNgijCyRnE9y9tuOiM1FqXMmuZP4O9LoeCRvgp3OkvN/TjaclLhG +0Cfvrq+6Bvyw6rF8zPnLQOcy9Cenk9tnlVzzWJ93d7dbn1XtrgHUgitL1hd7 +wSeWSc4tmjMxb/1/Mcj1i++2RJ9ctD04CZjDDl2Sk09dw/vJc02uT+yDmt8X +mMef9xdtD7gMsUAt/PA05xdyy2T9XqA559X5fV/MoX7AVcAVBfnqov2DXObh +C/b7cOx5RXCeQ2p/J51OyNa7ZLcpOec6akYjsSNxc0r+jj3yLTWD2nFtyXwB +H1EDXs+s2zUl56vrImehN9xnknR8VXPmol/J9Qys3Vmxr9EHOSe/KTpfwP+2 +DXAeuDDnbz9X51yMngsl56qwLTbuJ88XPbdPdhvb5po0WfO3yhbdVe/1uJ6/ +R60+q8nxxTrdsVYt+yvaHlPjW2R8us18jv1Qr8AYGHw/NQ+akJpnnR1cKyHX +yD47Mq+zJbgBvxnfqfY3Be8JbtFQca4sS85gvV9b9DePBo+CT03R+NAGf0eO +J7aJqd6Ic7B3ruyyUe+T1GP5GIcfEK/g+8/ax7I2c3T4BJgiNj6bOebPyewX +6uIHans098Y2c3HGtsY4++qLvcF3seOoyP3zI/+v19rroqYvL5sL/Fu26dBe +Jujp1z67m5zzqGvPDDZHJKawJ/GCj2n3Rb+26nVr1L6gvYwZbJySS8h95BNs +vC9ijfgldqnFq8uutw+2O0/ng4fsqXreXnJJ2eeM/opzcE/kAbBwuNG59q7g +2/DuGrBfdIwODV4GJsaXXLv+Ic48LzWHmZu6ppK3RyTmgN9vdhyPK7kO/VPr +DxdHeL3N/OmI+m+0+QyzJDO/X5oZy+R88AxPhevNLpnXwYfJx7w/HHOI2VHB +c84vmZcXpU9NxZhqS+1bfMycjcG50Bd/8w4fjYkx9GesO8bxIX3i6OyS3380 +xDwObgRWuwM/yC9WzB1KqXkkOWCl/JKvGJdDUtfjdQXX646C98ZaM+K8kGVe +l3eM11WM9cGpsYX/8B1y0BudwPYHwfGwN7yWd+jK+8tT84tfFp275lSMW/A7 +v+LxeZwL8q598AD4NTybvInd4KzYDt+DgTmpY5sYX556z+z9O6nPhU+0mEOB +owWBpTWp8+m9qdeCe8G74FeXNbpPTJPziGv8+WrRNfH5qK/wCmKBOKAmnhPn +KM5H55U81i8dT2A/fXtRzvWNnE9MPRIckD3AOeHB8E5q65XNrqHk3bmRe6kJ +B+MsSb7YG+d37M232LxroO0Lj4OnP1fv+kKMMsbZZ2vV87ZVjRVwC67ABNj4 +ltqXq8b1LWVzIHQ9ofY/VcfNv9S2tTnfkeuoudRFfDQ1aiT18U9RG6iHfVGb +wRbnfs6JnEHB1/31xt+wzP2hmWOMmg0PX6S1Drf4LoPayzjy4efIgOeNyzx3 +Y9UxRz6nBqAPGEI34hz9T/FoWnwNpsH2N1LHKt9/PfX9yrEW2xouQN6FD8AD +OBuS29dH/sO2yGAc7IBBODx1H2yiA/UXP46OXLEr7k5GxvmTcyg1A85LrmUt +6iVy4GrggH2BSXjNqbMyGAa3xBJ3MMQnsUltoEYgZ3PUC/RcF+djxslhhyL3 +cj7mLE3uvCHOj4vVTo77H+6BiHvkU3PRhdqJPvekrvGrU8f2zLiHgbN0BW95 +N86JnBepU0ncO7E+OReODU/vCK6eBa+AN/98sGsSsYO910ftg18QM3DRi1Ln +tGNl73F97Jc4JB5vzFxT10b+QvaJkM+90ZE4Zw2smGPDtacHb4e/V+JOaZ0w +NqjifAJHWxfnJ3IcsUhMEstNFccvHO1XRfM2bANGuF8AP3BbOC61c43m78SG +Fftg8yn9m13LNsV55WR9zBlb5LOuuD8il1+YukZdH3VqQ/gTOWDqaOCKGk7+ +ou7fnjpP3ZH6DoTzG2e3VRXrRW2fUjJ/eimz/+EYYIBYx7fEF/7sCO7B/lmf +mCQOyX/wMbDM+RY835maW9+ldkVwzZWpY4AYwz6rUvOAu1Nz8PnBw4kV7m7Y ++9GIQfYGd0Q3cEXbEX3OsNgZzkYcElfosC7sTDwQUzsjruCqC4OvnuS59a5H +k2Nt1k1CF/Tl7qQaWOqLewHyErn32XrnX94zD5tyDuY3+nBWJ3+/U3GewJ7o +SGyyNrmYPE4+py7URB3D/9SuvjjnEo/kCOyN7Cz0qYdjtxhDJ2NDdv6k7DjY +X28egf8vim+vrhivCypeszPWPRL3q+ApDSwTL/iNdcl7l2be7zS1v67aZpzp +ydmXxH3L8dANvd87I0mebHHNY87SyPngFpshnzqEDaZkvlt9qsVnL+Lo4liX +/Hdr/v93KfRZG78ti/69Fd8z3lcxXiZGXHTGWZszN+dR9J8Y9zHLotavrRrj +nOHwXWfch4DnKeELZLAuebg7uBi1FR5MrQIPrXGnQp8zz8w4x3WkvuP7oGxe +TH6C13GPVB931+BucuCNecw/WPbZgjsm7hSKLb4LIy9SC7HlVSWf3+En8JSv +Zfb7LWpvzhwfcHPOXrk4f43UWWFEq/0NTnKhEzHFe2J/TMn54qP4lnpBnq2N +uAHD8KbDcU/9gnRraPP/AU7yrAbbilxBzoRnYm98BjauKPmO/qey+f8AqzpM +Jw== + "]], PolygonBox[CompressedData[" +1:eJwllllslFUYhk87tMPWUgdaO//MtCAEuFAD6A2GRUESlVWEsBQoFChU9k1x +B4EChWCCoEbEBEhQFI0rIEIi8QIUcGGPtLiFRQKyI26tz+t7cTLvP996vvW0 +qZgxeHp2COETTiPOylQIB+IhfJ0TwjLw2VYhbE2EMCI/hMOxEO4uDOFiQQiV +uSGsygtheHEIE5Dr1zSEH9LIJUOoRXYRyr4C50YhdEDuIvzl4CslIcxA19ms +EC6Da5EZgOzn0HOwV4a+SegbyH910N7iv3jjEKrRtxk8QfbwbyInwffp2/EL +vBL5jtDy+W8c34GzGHvdikIoxOeX8LUHPEXwnIZWD14APQ5tD/d7GZ/W4PcG +6BG0Svi3Z0I4xR3m8v9S7NeB93MGQu/TPIQ8eC8QizvRsTnfMXmDOy0EzwTX +wFuKjT7cfzI2C/GtC3caxn2qcLEzuFv0v6thOfzdwVPQdR1/jqKjfRNigY0Y +tJH4sxF/xkSOZS1Ct7j7n/xXA+1n5JqWOmaK3S544th7BP5fcx0jxWoa+Yyj +fxv+7+AUwVMF7VF0vIKuBnxujb/nkBmKbGWxfRePeC+h4wT4NeidoY2CpzP+ +d0JXM+QL4BkPPYtTDa0t8diH7nJieAd4sP6D/03kHwO/zn9l0L6EZx04gc7r +OZYZAx7HGYOuck5z6ea7Im4bsqUYKBYb0HcftEvEoTFnNfFr4EwlHj2xd5yY +TwNH2Lw/Zp3NkG+i3JHD7c1dAxPRUQltEqdVykc4xqmJXHOqvWzOMr7TnF4x ++9QCWgnfD8asoyXfGb57x1yzt/F9jBjN426tuOMX+FOBvbFx16xqdxMn4Gt/ +fvpCO8d3JfJl/HcePBl9V7nrjyqaYveceu8z/suCfgj99dTNJer1+4xjptg1 +QH8xsk3ZnosPR6D/lrLu3ZyN6OtCv7RriQ5iUdEC/oR7RL2hmB7OWFY5Uq5G +Kl7BPaxengzvFWQOwdsOP86k3Ouq+bPg0hLnugyZIch2xN4s7H2IrfXIPISP +qAhr8ffhyD2kXtJMWoH8CGQmQu+PvZNpH+Gd8MQUf773cPdV2GsNfrzQNa9a +V08NiVzbqmHV8oWke082O6A7nXav1yCfAedyl3Lq42See2Y2/LPyncOjxGIA +PDfg3wX/IOUi7dhvVw7B93LWNXYOlcsl3P8m9DnoWAr+A33JmHu0r2YBPqxR +r3GnfsXOiXIzhfhchT8LfXP47qr+RPZffOhInJeh8x/w1YRzoNgfzndtVxUa +q8bnIl+HfCPyNxM8Bp96gj/C5ljwjoxnn+6kuw1M+266s+4+Ep4z5PN9+MvA +LcndXvQfz7cfyuXOIs9a5XQdMgtzPTMPgFPMqGmF5l2A7i0J15xqbRg6StPO +XXfNPPhnpN27L+DPdHB1iWMn/WXQh3NW4csgvg+CL3ISxLOO757Es0dk3B2e +8+DnIs9G1eyz4NXwz8/1jN0EXpzy7toL/xLw0sizTD2sXi5POVbaEdoVyyPP +AvW8en9J5N2jmaDZ8At3bZPwjD6C3/UZ703tigVJ7zTtNuU0W71JfE4UmKcB +3jx03NXMPV8FXptxbU7GzBrwosi9/QD2UuCFkXebZpxmXduWnomaherpFZFn +mXaSdtPvSe9OxUyx007TbtPOHVrsHCgXIzRzwKOLvbu0EzcmXYOqRdXUHPwP +kWexdoh2yXLutz/uHClX2hHaFZvhGQ3vzaR7XTuhE7r/gt4+x/H6O+Odp92n +HroH/beS3j3qGfXOOwm/UfQ2Gc79Xs14l2kGaBbs5ySaegf0Qv9Wau3thGtN +O1s9oF6oRf9s8Ky0sXpQvagZq1m7BZu9te+KHftB6DwFb0PKtamZHdLOgXKh +mZ4HrT7pXacd2bXYs+RcK/uqmbKoxL2rN9FicAUyH8fdk+rNpSnXonZkNfjb +jGenZvx3Gb/R9FZTjGvkC/Z35/oN9Tz4YNqz5AP1H3h0yr2rGI8C30j4zaG3 +xjF8+CnpXKsn1BtToQ0pME09rppV7crHcSn3oHpR76uA/5fRdy3hWtcO+Cbp +3tQM0Cx4JvJbTzP8afVWiWXnYSeH2o9HjrXejHo7PhV5tuuNOR/8LrrfK/Ku +0Ju0Ie1aUo4D8Xgy8i4cz+cTkXOkXCkmTfD3WolnqWawZvG2jGe1Ztqn4L1J +7169YfclHTPF7gQ9mA09K2OsnlRv6k2jt43efOvB/wH0aIy8 + "]]}]}, + {RGBColor[0.520089995, 0.54506703, 0.5512831924999999], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmX1wVdUVxS/Jy3v5IIlGEt67971nAVvBaUVB7Iy2CtNOS/2qRkAFjRpQ +EBH5iAFn+oe1ovKpWBVorW20U51xqminrcBMq/BHZwS1rWglQVGrVrHETgVB +OlO7flmbqX/cnPPOPXefc/ZZe+11TkZ139y5sCZJkq/rT63KfH2STG1MkjqV +v25Lkqc6kmRmS5LsrEuSN/VcqT5Pq/1JtV+p9ik5v6N9V53re2Srcbh/Ux9X +TJJ1+ST5VylJ9tW5faW+W5UlyQuFJLlb5cfHJclp7UkyV/3uS5OkoPYfpx5z +X/Rfp991ar9H5b168qqvV7lR75/Ws0HPGv3OqX2tys3RvqLGY74YdjobXb9K +z9n6fURjnqnFn615Pqp6jb6tqSRJu/rtKifJRK1lgp49TUnymdb+rubZr7V3 +6f2tsnGynv0j5Cu9m6X25XVuPzDM/qkLPyyRrQH5dZHKrfXuR5/miufQo3En +qf8nqo/XfMbI3t811tpmz4P5vKhyqr5bpme5fP6gvmnQejeobBlumx/J5o2p +7cxXOUvfjW9Ikuf1e4LW+BOVR7UXG/WuUd9uUnmc9qBH9mbrfZvqt6g+R/UW +1Zeq3q16n2y/pOdezXGankX69nzN84Oy6zepzwj171X/61SvV9vigvt2qH2Z +2q9X+3vqP1/t81V/X/UFqt+o+qXqt1D182Tz4pz7TFV9WGuS3N/i/QQXNxfc +FyzcWHDff5T97QLZ+Uj1XtUXqf6s1vpAwftQ0O+LNIfFer9fTw+21DZcc1ui +9mtVn5Fz+4Uad7swuVk4f0xj3596PQ+kxtK+wPovZH+U+k5IvA9L9UyXjVtS +7yl7+6HGWqL2hbLfqbZ7Cvbl5SXjcaXGv1DvntG7Vn23Q23L1OeynB/WcpHG +2M8cNM45sW+3FDxfxsP+BbWO1yfbHLMzte+nat+fk91Tm+wLcL4xYmW0MHmm +3k/Ss042Xma/8t7ju6qyKRsrVI7Tuw9jneAO/K1lbqnbZ6icrLbPco61L2m9 +azXRatl+ejN8tUP+HKf5PSy7zXrfTrzqm2/kXRIj18rWoH5fo3K//DJT/T5Q +eSTneTPn8Tn3Gav55LWuEY2O43cK9jn1uYqZLO85TYFHVJ+sclTO9RNqjQti +E2yAacbA/g75r1lx94DmeVjvO+r8Dk6kL1y3QTZS2TgJPuzw2ljXAmH1efU7 +qn7DZWN7m7HboLJRv7coRq/SfE+Xz3fIxlsFxylxz3ooJ8vmkZHGVJfm/BvZ +fKbV9uHdzW3m3tHq+27M4xHZPCCbV2jsuU1eD2s5p+D1su49Be8X+7m74G+x +gY/5Dj7BDr8Hhxl7tP9T9QPagy7qmTHSHTxwetE++Hik54FfNMWk1Gj/grnL +Vf+q5vYH1a9Q/Wuq/1H1bxW91qTotT+e95qxwxyx+229e0LtDan3jPlivzNn +3vie2t4oGA/gYlez94z5XZh6jRektoGv8W9fzB2eJFe8r+cS/KA+5+p5RfUB ++a6/xn3ICYyB/e7AAt8f0loONprLk1jLPI21OvDFPMkDyyNH7BEXLNP8+iuO +JbiDNZ5V9LrZc9oZh9/wAZgGz1dqnNPkt+15572bCvbBa7Xel7kq+1rNkcQg +vn+r3vheqjhcAU+UzFHwBfz2dMHzG1tnboOn4ZDW4c4l4GhZ2XZ6y853Exvc +vzG4B17CD9vU5xP9rqTOM3elxs/UyFN9Ree6qzP7A5/h40tl9znVO1U+UjTu +PszMJ7QTv+iR74Ym+coJSfJlPYnWWmhyPoXTs9SY+pHKNDXWfqiynJr/Vqgc +UMxs07rO0BpeDO6Fg/+s5xL1eVnl7pz3f0yNx+yvN2fmAiPkI8aFd3iXj30g +Z9VFLgKTW5psh9gZk5nDyUuFyF3kzWrq/VyZev92x7izhJFc3r9PTM0Tq1P7 +GL/hxxz5S/ValWOLxtp7I83dxCf4vK3kvfqv8PYz8fifZHe0yp3ioU/FIa/L +H2fJl9/Ux5P1zSr171L/h6rG+eHAOlgG08AcvYZ2ot+2Dn/Pt/jvdj3b1f++ +kvPEWyoH8FNwNGu6NeJrm9q2Npmzflpyjnip5FzE/tyBZot23qPZTmnwuMTQ +5OBlnsmB+R2RL/H5bq050TfPlY0hcsGrtc4z5B1iG46Gq4mhazLHQxc6qMXY +wy65n1w6RfXvDPc6+X5kZn2ClplXNO+cLL/9suR1Li56rTNjvY+GT/BN03Dr +426tf1OsgfmTG8ABGJhedJ5pVjlduWWX9myv5nFU+7a43VhGR7DffaFtd4Wm +3R4cN8RvmtN9mltd1VyOf4jH3xWstVnX45FL4S9wDJ7RfP0a93SNtb7ZeqQ3 +NAkxB/bhlJqyzwy/yryOTYEZ/P3bgu2jU3qCL9bUu0QLXpe5z5zMfLYgYunu +1PoTHcq5gVw1OmKPGFycWPfN/0K8UaLhVmfGCFj+VPs/GNoGLHzeYI7CV+CY ++L9H/V9SfZ3KO1KvG817e2p7aEPiivg6T22rUutbdO6dqTUz2plzxsbYR/Q1 +uZYcdm3mGCQWb0s9946i8yXcPy01B4M94hptuzA4Ao6GqxkPPYXv8Bs5an29 +8b6vZC02U+WYsttHq9zTaO6FnyeWI7crJuqO15zbrftuEP7m6Zmg+qjMe4Qu +PjGznkS3gvVLIq6J786ob4r1Du115jmjwUuZ9xFdf2y/mUMl8xmBswJ6D+4i +Fg+3mY/gogHh7QftxusLKpfqeaPF42wK38Kb+Aa/t8mP81W+UvE5Y1HksIvL +5sqLytbjSyLnkdt4D7bIi8wDzUleBMvDyuaF7aEN8POO4JPOiAF+b6z49yaV +/Y3em7WRN/hmiH9y5oFXYm94f6LszyoZj3dWndfyEUfgZ3Po8imhNck76Hd0 +POs9N7TFgZKxjPYAz5ztOOOxLnQWegvsor2whR00F9praegKNAVnTLh5Ypxt +2du+4A84Ez2Bz4lt5vlY5jmiZ5knnE4eJP+SY+EO7HNWxuZTedvlN9yyLvQm ++YT2STEHNAXaAo1EPiAv4EP4Ht6H02gjZ5AXtkTuoE4s06crztzYGRv9t4Qd +dBP6iTh6NHQiOmtJyf77ftl6HF1OfMFtZ4ffxkVfYhUu2RY56/cVxyu6Bm7+ +T5v5+e164wp8odfR7UN5Jm/s9sQeXRx8xj7CTeD46tRcnE+9dvI16xoVPiP/ +ErfExKQ4tzEm+XIre9jiWIbXH4ucdTB4D601rsF1xmLfCrF35J29zc49R+Ks +yNo5o5Hz4ICuiDVirjn13g6TD64uut8TmbUMMQYOiWfuSCbGOQcuw/+1VeeT +GpVJ1bFATCyKu5EelRfEOb0QdxXsAWcCtAR3IE8FjtLQ2MQgfLcm9g1cjo/Y +uTS0GRg4xgHYoM/QXQC6pcV6B/1ILiF2iKlpodN+XnWfh6v2KXoALQEeOCOz +BuIITDPu9Vnk18x7tTf2i3w0KbRNe8QZfNOUWa+iW/EZ9z34bWdwARzFN+wz +2oC9Zp8538Hh9CV2Xg9/T4jzFTF/LDeCOdZ1sOoz6qGqYxhb2EEXgwPsk4P5 +llhmXnx7DKvjAktolzUx/0nas4fgq7Ixe0pgjPluC5voVrDIt8ewyLddobu6 +yQ+KoyNtxjHaG36EG+dorNlN/oY69uGEU2I+jHW45LPnEZU3BD7BKVoRPYeW +g1OxC7b7o4795sz+yuLswt4fyzNgqCf4jTpYAs/wBZgmVvbG3crbJeu9d9CA +FbfXVpyHyEfPVsyLYGWIGxsjf+R8zwKWPqk6b++JdrA6EPqZ7wbiW+4m2Dv2 +kLxOfp9b9D5wfiD/cEdwNM6IcC34HDpva/8PthrD6GP457WK44dxydfktP6I +qQcr5kXu8Mhn8Cp7SrwTV8QU9pI4f06LnAQPoAHwFd9z7huIMzWxyLdwQhY6 +lPmgx7tCk5PnyHeDJfMo9yCcNXqDV6nDxdxZcG6E18fGXdwTX7hTQffSj1zA +3Qb9aesLPzDn81PjBxyB/c7QlegjYoz4AoNNoduPz4wVzrv8Rs8Tp3DD7PDt +B3F/dUbZ7/kW3M4o+n7k5bLPaZyz8Qn6vTH6cBc+eJy5vKPd2ghdhHYbcYLz +APHH2IzLmX1ezHNV1T5aWfUayeXMB5/1BibA46G4u+CO+aQ28w7xTqyjU6tx +j7dB+z899X3F5yXvP3wEBvAJMcmcl5ed/24tOzbnRMxODK0JLw0GD/L9MU6E +P8EGdw5DPKbxejWXv6l8teIcvSTOTbNjrL+UrFf+WnK8XBZ3EYxHH7iFnMZ9 +PFjKR24tcI8UuYrzd3vmeOaczfzw4ehYV3fY4RzMfDjfzA6c40/yVSHuARiL +ceYGt5BfyUWsqTXWRTw+HP4nTolR+t8d/wdZk/0/zskj+BqfJ6nP7XDrmGqc +++Lshz/BNvhnXsMCz3DJYLRvqfg+dKvKf1fdxl3L+HbfcaMV0HfwI2dOYqIv +1og/5oZPqLfGvRA6aDByWXOcVXeWHOsz4uxyb+Y75fUqWzNzKPcxfI9fwDzY +AHdjQ6scCk3LXWl9m3PS/wByTHMd + "]], PolygonBox[CompressedData[" +1:eJwtlllslFUUx2+XmWmBtjDtlJlvvhkoLQgvEhZ5cGGJxiibUgWllAJlKRYo +dIfEB0EBoRQoW8EgmpQEI1FAo7IkyvJggiwuiOwUJCSAAhEVion6++fwcJL/ +vffcs91zzj0F5fOLq1Kdc4egdGhG3LkvQs7Fg861RZ076TsX6+TcXtYnwIGk +c+uynHsz4lywh3N17J3PcG4pl2vBWxLOFXN+hHUB6+Gec5e4OxSZt8AdMee8 +NOeusTeG9Tn4G+HPD2AD/KM9OzsF//Xuzt2BPzfNZIzgbAX2rUD2Uc5XgqdD +IwJm80xwTa5zB/LRC//nOTjEnQ/BA4FP4s827F+S7Vw1e03InsKd31Oc28P9 +qeBa/Brf1bkL8FyEZnN/OHcHdnGuC7ZWc16Vhw7W5zlP5bwNWQXYmALOgPqC +b7M3zTOf5FsDPp7h/jL0r8b+Gu4uBw/VHeQ3wT8MnMpeC7wVrBdjXxN7R8AN +8KwEV+DDQnAjMts4z2B9Fds/UzzB86E61vVQL/y5HTPZhMT15WwHvi3Ah7Po +348PD8LcYT0w0/amemb7Re53EP+t3F/Cehz0PfhT+AchbDqxLYF/K/aWYcu3 +2Pw+eGbUbC0lZ37F97vI7gJtgDclx95Ub7saef3gzUZff+J1j/Uc8E5sziIg +q4jRx3pf+YO8EuRdQd7f6O+AziHvDLQbvAd7toFLocOsO6OvNWA676LvLPre +Uw4g6xl48yOWw8qRfvmWM8oVyShCZ2PIcngz7zWDO/Xon4T+q+hPwcchmfaG +Lmk1odq40Jn6gX8q8b1JfkxC1gVk9M61GMh3BwWomUA3kyFZV4lpCfcXQevB +tVBdttXEWeQtQv4V4hHAn3pwHjF6HF0P4K8HN7DXzvlGbM7G1hSoHbyT8+fA +GWGzSbbs471Pxuwtnwfncr4fHRWcdeDPON/etk+u2ao3ngVPI8vJ+H/Nt5xS +bnWCNqO/DzSW92tgXRi3nFHuqCaekj3I3wWOcD8V/CP6i4OWU8ot+Szf06Ht +4L3wHMiwmvwKnIctRyNWi4pZb/SNSbMcL0DfLwmrrfvEpzv6/sHfGvgHZ1oN +lyJzTch0/gDe4pntslm2b1T9sR7Nugi8XDUbtJxb5llt3A9brqlGxCPeGu70 +QP+quPUi1UATuJXzzJDZKFsHcP9OV6tn1XU5NtYieyLxaCeeO7gTxN9S9sZH +rceo1yhmb3C/EBqFrAXITMCbhKpDZvMGzqqiZkst1FO9kb3DQcvZd8HTdA5+ +HX2XfXtjvfVBdL4C3s17fxK2Wt6RbbF7GLbephiqh6uXt8BfCF6PzFDIbJJt +25F/iLO55Mqf5HOmZ7mnHqheWOybLuW0cnte1HyRD/JFNst2xWwT/C1QEDyS ++73AN6ilPWGr7dOPeqx67Q10vAaOcn8O/AH1FNY9oRc4r2TdnbMT6LwUsD/j +OHgO+udyNg/y1B95m/4R811vVBazvqD+kJ60P1B/oWpkH29TGTXZ0indPfCv +GdnN+NgTXID+F9NMR4zzNPbqOHsaGRNjlqPK1WPImw0+jUzH29xDxs/gx5J2 +Vg5PH3CzfACfQN4acI5nvV49U73zuG+1NRYxo6PWI9Qr1BMawavjj+6GrBY8 +eK6D06FV3G+P2V8iHy6DC5PWyyuRVwbvBM9irR6qXqqerN4sn9LVD337+5XD +qb79WYrjl/DPUq76ZptmhBrwrrC9qd5SPbIFnpMh81G+3oIqOCtTDwD/Fjes +HFOuReif57paLaVh6w29Ib2ihPOb4JGe/XWt2DAKXOnZ36KeqN6oHqZepj81 +Av9k7B0WtB58BfySb2+hHvQy+Bq5UYjNzVn25/yXMFzEXh62tCbs7dUjN4G/ +i1ktK+eOge8l7a+XjX+A34UeIr+BvZX6Oz2bTT5C/xRwWsL+EvV49fqHMfu7 +NDNpdvopYW+jnDkFHoKNWzMsZoqd/gD9BZrZJoAH+xYbzQyDwA9iFpsi1gM4 +vxuzv1gzlmatFUmzbfijWlDPUO/4mnVn5JfHbVbqi3/TwH8lrfblk3zr5Vuv +UEwVWx+e+SHrGevwpzpqvX4SMWzD/sWeya7Gnrc8q3nVfpVmUO7OjRqWDMlS +zap21SPWwrsUOhi0nvoOeI1nvUA1qFrMitjMo1lnY7bNBkfChjUjaJbLDNvf +qJmu2bPaUA9RL9Efqb9SM8kU8KuexU4z5XjPalS1qpnyA3BF3HJfM6lmU81A +moXUk3NZhzx7a82Uz0ZtptBsoT+nW9x6hHqF/vyFvv0R+iu+YS8rbjOQZiH5 +nBO3GCqWyoEnOPs3YW+jHFWuvu3ZXf0BSzybeTX7qubWcr/Os1lCM6RmyQVR ++8s1A2kW+h9FAZ2M + "]]}]}, + {RGBColor[0.604478465, 0.62193021, 0.6187370974999999], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmXmQVNUVxt8wS/d0NwPMMEz3ez2jzLCIJnFhB/clqVTFWIpxAxfcAE00 +iSIwYFxAXFlcEhUUE5ckaqxUqlJlaSnGlPsGGEVUGDZRIyq4FWqi5vvxHYr8 +8fre9/q+e8899zvnfOe8gWdeeNwFvZIkeU8/tWr300+5mCTv6/7H9UkyuS5J +TtKzM9Quyrs/Uf3xjUlyhcY/1ZAk49Q/Vs9rdPXTf1v17pulJBml8X11X5Mm +yd0a10vtgFySzNO4qbr61Pl/1nq6wXMep+fPqH+g+hPUn1Tn/pVa61T1D1J/ +rvojq0lytdp72pPk2QY/P17jezTXaPXXqR3T6P4sjRui8bdInsFqT66zzJfr +eanocWdory/2dp/xj+n5fM0xWNcK/Vevudeqv0r9lfUeP67kPSD/c1mSjND8 +z2bW2ST1P6uRfAXJrf4X6p+n/hy9N0zXsZLjCT1/VPJ3SScHqN+o9/ZMrdMF +ao8qJ8m3+u8PmvMZXcM15mm1o7RuUWM3sa7GHiyZf1brZ6V4/kbJ8nDfW1eT +ri16vjjvc5yvPa7RmJF5/4fMnDc6fa3Wsnwqmb+qJMntWuPrinVQqLMekHdN +g8e9XfC7YGNMyeux1nfNSfJua5JsaEqSzbo26TpSsn5VcIt+SxpT1PW43pur +9vX+SVJt8rxTGy1DWnT/GM2fl14eYF21vfV8ip4P6uX/p8R4zpYzBpNNGvc3 +je+TWt5pjZ774AFJsqyvzqdk/Z1WZx2+pfvR2ltzrD8t1h2i91/Q+7enxnhz +4PzQRtvGiRpziPqnq39CrfEIXsEkuMZmwDZYBtNge7X2Ok97btd+D5Cetkue +qVpjlPr7tyTJwzr77eBJ8mzLvA7rcXbIQp91e/T+4eofpuv5BsuBDMhC/yqN +X17y/+hqbcE4uBFcFP0umOScFvf2PfpAL/MSn9MRjbaFwxpsR0/p/0v17hxd +N2i+OyXzWf2kJ91fVWuZp6ndmhn/o4T3Wt236L2PNc9sjW/VHo9q9LP+8Rx8 +tQbG1krmsXnfv63+mLzH3aF3+0lvW/SsRmv3Kthml0hfe2nMvtrLT2U7derf +p/UbdJ/TtV5zDir6nj77ZL97636G5Fuv8dPVDte7n2qu2/VurkP71ZgGtcNy +lgUZsePZYcurS7ZN1qjTuJv0/2kV4+hgXaO174u1brOujHMp2M9Mrrdu8BXY +HX4AbGJ/d3XYHw1Ru0X7HdJsWfFXxaL9Gnvp0jWozro5hPXAoeZZr3Pq0vNX +MsvxcmZ/fFDePh67P1DXsFrLPi5v2er1Xreu1/Vue2bf2iXMvyIZ/ttsrGET +U8OO+uWMFfDWFz9Xbxnw4WCcGMEc2AE+fN+c/Q0+oiszjrGtEZr/M+F/mu4H +ZsbxYD1PhJGZ+m+j1r2+4H0y/zUF7wvd4ufG6+pUf2XmMSvUvpoZP6vUXihb +K0j+x/AzkuHKnO3jyarx85b88MKCx/9Q8+yR2bcOkgydqfdzY2qs4/vBZ/9a +674tsY7Y581qH82Mw0fULs8bJ5/XGCv08VFvar0deveiivfJfm9VO7VsLLeV +fZ59Y7+n6/581KF2rOZdKvnHZZ5vTsw/XVjoX7QeLlE7oOjzBZfD43wHpo61 +i9SOLdlfdxCrNddtmnN05pgxIvQ5uuR4k5Xs47sjRryQGUPPqz1eOimpf73e +u1b9Yt62vKNg+9wVk2vCTo8JjBOjB0vGW3O2yZcCoy+qfTnnWIuNLGiwrtEz +53NonBH7/nvOe2du1mAtdEKLnsHayMA5XGNU4P9A6fFLvXsnZyQZtkc8OqNs +nT+U2XYLgTH2x744A9ZvCRmw3W2NjvXMQZ9Yf2LZ796f2daxZfYyvcnjGAO2 +wNhv1S7RVZI8S9XeQWxDNrXt0ntVV7/Q0+uhq2lly/BXzX+C+qdKrqaysYwu +wBZ6AH/o4t026+8nqXkHz9HbzZnnvCnzeXAuO+O+Bg/X+DM0Pq95j1H/YvXX +S46y5n9Ycm/XmMF6fkJqTreut3ndA5n19WDmuN7T27Hgy4LXRjZ89371jhU1 +mv8wzXOe5pmvMW0Fx9Zy9NnbDPmAb2W/66W/e8vW34eaf2DVsex22dO2irGy +Xe2H9eZm32menrxjD5jEz+HbsYU78b2SbTW+SPJ06motWh+b8tbzicFd4bBb +myw3Mj+Z2l//U+05mXF4Vub4QRyZpXZNu88DH7NC8te0mAMtzoyF6yXnhOCB +8EHwDu4Xwa9L5pcDdc0ompOD28NS75G9PtLuM7xH+tihOHFBH+m4w1iBsxHj +kHdHb+t6kf7r1voL1b6k/9/TWidprR+x95ztcqhk61b/o6p9KjaCHyBu1O2y +nbx5KTb167Ln2kty7a935+n5p3p3sPoz1f+QeKr+fPU/U39igzkE8QXuwJrg +7rZ285pBGvtBkzngvMAMfmR52N+Egs/xo+AV8IueeI7/2Tezb/9Ea31f/cvh +UFXj8fjC7jmOj/FgE/7FmcLVsd9JYTPreu3mn5Xgmken1i28mPMilnOW+E78 +LJiB451TcLzD9k+PmLGP5PmNxm2TPMPUn6P+x1Xz1bMKzkfgimcXHDc5N+Ih +ZwefPLfg3Ac/8b6uU9Bd0XkX9jJL/ZlF2xC8b2rB3A/ZOWe4H9wb/3NT8Lsp +BXM8uOS0gs8AXkSuQrxCTxNCb+DrnbzlATutgR/8MOPhUfzHGPRJDNwcfOyV +qu15hdq98Y3qP101/4Yz7hu+nLmYhzV7Io7M1v/dRccW1kE+xkwJ3soZjcmZ +I8IPGzU2X/T73F8XmBmZM7+Hux+Qc45KTLi6YJ2hQ84RPsdZwlXIkYghbTEG +PwLvgH80x9zXxvzon7mIF80xL3PSXhPP4ZDwWngkuSux9FfSx9TMfP/rDuua +Ocm3GLegYL4B36ZP3FkmHDZp/F2p+SC8BLzy/w0xHh4EZ0IHb6Xe89upYyhc +Z9fcC2NO9sJ4+AY6xI/he3+vd/qQh6Y+28lxvuicueHvd+u/vrq/J/V5XRfz +gDVi3k3BdfD9x+nc/6hxzRr/J7VDi+buYKClaH9LDosPIKbgB+5NzTXvU/u9 +nPNbeMrMqu345IptFxsmNmBzqyJPJ1+nj1/9s95v0fv3p7Yt/CGYBadLQwZq +FEuiTkFOSB6H3ZHzXJ1zrryt3nkgtvduvXPv/0jmy3K2cd7ZGGuzLu2K4I3/ +rjf//Ub9h6Im8kXVuR/2gAx7qt2jZH2AA96FeywKbrQgM5clr8Ounyg51pKj +EYMfi+e79s+6N2ityzRHWjYfJw/FR12Rs588LXJm/ArjFjeYc8BxZ+Xsz8mr +Z+ccIyZGHkuLv5pU8V4Xhm/mLPCl5I5PhGycHeeGvpqCt1yivV+asz9Eps0V +x4l3Ko7DtwXnIf8lvpDzcgbEFGoOxBX63WVjam5we+IQ42eVfeZX5TzHZul0 +k6628BNtYdfkMOgAf0iuzl7xycQ3/Bx1gHMz+54rJNvLiundra5trE/tXzao +PSJ1/pVvdx2JWAc/xKfAO4jL91bMpW+ueMzjUW8iHqCH6WXzvtHBvUdFH4zh +OzkXzodaDnvCbxPLsEu4FvgckTNGiREjSuZwyMJ6nAVr0kc2/h9ZMq9rbnaO +DXe4S+2SVsdk+BJcaWderz02EjdS86l3Y2+bdT8a/pTa510dfvLTevsJ9Izf +mh344Uzm5XbXF6klcab4ksvCjvA9lwY2uMe+wC9xlP4lZZ8V+AS/cA76F5XN +o2cFbuEB4HxG2XOh5wlRJ4EzcP4nxj1xE/nAOViA9/YEVvAB88MPwJMYc3HZ +MeqLqBXCSamzsCcwxbr4EnIo9kjthXZt9PFtV4QN4hvIy/APrMm5cIbYzKjA +AHjEzrHxYs4YBZ8rwz+uSh3Pievk2Bvq7Y+wT/IGeBc+HxyD514djgMLIi7A +X+Ax5L1N/2frxEJ4H/W9PnEmnAUcFczhD8nVsXfsHryAOfBGbCPGTcvMYU4J +f7MyZNvp46JeR92O9+CK4JNaxvrIA7Er+odHnsTZckZpZj90vs7ixdSx9qXU +NS5qhdS/zuznWhWcA979ZXBLaoHLWu1/d9UoiVnbo49t4ss4c2L2LpskTpUz ++4nzypYPfo5tDCvaRnlGTAcX+PBhZedi5GQ1wW+Ji3AxOBk5ITk6e2LeqcHn +qBGAL+pPzAUfhBdSd/hHag7/ROr5vow54TdwdmrU+JP2wA973hG5OVgbG3jb +I/odkXuQg/AuOQC1BfbLvp6LveFHwSa+Bd4BFyHmMLYlxhPLuGd+sENdAvzQ +tkafmi598sDXU3Ov1alzeuaE27yg+730/PnUY3lnS9TnN0R8bIv6yRvtzlfA +JPvvjP0wP75qn5zt6S6d+8hWc210y/zod0XqMa+EL2fPnCPYHBg6YX30hAzI +WIq9k0uyN3JP4gtc6tTg4eQS2Cn2W4k+PJVx+EbqamnkGuSw++ecx5YjXrEu ++R5539mZY1k5cgDeYc5B8e2jFHVCZG6LM3oz9ZxrUttD7xhPi53Ap8lvyCHJ +7afEGJ5Tv+Q58Qtf31zcXUdtCvuCu3Hu1A7AGmPAG1yycRcnLxoTLYERMMd4 +2j0Dh+COHBgdYoPUaOB3xKzlESs7M/vpC6WPntTxbl3qWEMMIt580te1dbjV +WvWHt7qe+3XVGP6q6pyJd2qjhgF32ulbM8fVX5aNn/GBIc5jXMhGjWfnehrf +kZkn/qJsXIwJbJwV9YEpaquZOdfPNeaaDnPjLzp27w1ft2dmDnKBxkyO7x18 +93hN1w80z7/YY1/XTOGw8DPqwPgUuDS+De66PHgFc4PHrqhvwG2HxhjGDo38 +a2xwTvTfPzUXqG23Pzwi6mN3VGxrr1bsk7EJfB366QqdHFA2dqgPES/zgX/q +1dT74HI769aBH/DWFX14DWPY08j4ZjMijWfxfHzUalirK2odbcFXB4VMcGx0 +RSxlz51h+9RFsSvepV7KOPZ7XZwFZ9Ic/BEuQK17TcRW+P/k4HItwVngKvdV +XDefXXY8fzviPu8Rm3m3Jeq3KzT2ttS4Bb9tmb/38d2PuEwththMzGZ9xg2J +bwFD+baQGj/g6JbUeAN3xNn6qKtQo98Q34QWp46JxEZyu+siH/xdaoyBNXII +6mrYL7WQrVEPgafj9/HhYBw7AefUftAhvpy6BfUL9vBNs78TsP6qyAXICagT +XFS0TeEPLg6fgO45g87IoXieRZyZHvGiK+p71Pk+73BuR/0Pf4Zfwx8iC+eK +PPjCGeEP8f3094uYc0n4ZPL4meFvybO7I8fi2azYI/UjOOHMsjksz3kPGZEV ++bGdD6JOhY1Q28NO6qLeRB0Uv9cTtfElsqUJOsel7ea3cFk44c2RC2zim1HV +PHtM1T4E28c3Hhk1Umql76TOvbekng8+CjZXhm1io3x/gr9cK51VMvMJav9Z +Zk7XGd+Z4V/keqdWzEM7q8YfXIJaMHk1stdW7fvQOXJsjJhL7D2hr+ub7J/v +eZvjOy/c7amwFzgNe50bfr4jfD5xEHyADfIncgVylunhf/BDYKY9auDwLmIM +/mV01MY5iwWRF98Y30bw9/i0hak5FBwNDA6IteBS8H1sgBowtoMNVSPfYv6G +fv5OyZ7+klrOB6MenAX3I+cmH4Lfji97T9TOkbUa8/D/6uDAG0PP6JtvvCMG +mBODQeomBweGN0e8r2t33Yz62aZ4Drbh6dSD4Fzsa2Ps7eio1efDRjZF3Kem +SG0RHKyL58xDfRc7xAZ7gsttjbyDnIczYI05wcHgSN0hJzjhOXkEOcqIyFMa +2i1Pfbv9DfvCztgHc7bFfJfGu3xvnBi+C10fGfVJxvWEPIOb/R2Ub6Cs1ROy +UUOn/rqswzZEfoV+qXXBfYnV/wOjWj/Q + "]], PolygonBox[CompressedData[" +1:eJwll2eMlVUQho/LZe9l2YXlLot3z3f3EkGQBUSEpSgWLMQ/lggKJkoQUWFF +wUbZtSFYYgEWRKUoWFABQWNiYjQqakB6VRAQpYNdQIlKbM+b98ck75yZM2e+ +M+XMd9pNYweOKQoh7IZS0KZ8CLmSEIaCB+dC6JGE8Gg6hApoUQxhNGsPI7sZ +ncPorkTeMxPC9tIQFiO7HZqM/BbkR5AXt4VahTCgWQhNCyG8j34n9Odibzq6 +i3QGfHv4T7E/B/lx8LmszQYvYK0F/KAmIXQBvwqVw18Lfyb4RagMfiB8Z/AL +7OnH3lpodWIbsiUfPwevgXqBd+Dvm5y9Bf4c+N3wb8N/UB3CcvjfT8FXcFNo +X/MQ7oGWYP9lqCXnXcN5XcGrEp/1FfuXsH8dfG/4nfBL4cdXhvBPNoRvW4Rw +EXdQy54dxf5mfftL6J+XsU9rwctY28XeXpyxB90J8JPAD0PdkK/kTku420Zs +rMj7DJ3VA/ku9Jtz1vByzisL4SPWm3DnjeCOrFcSi22t2QN9w1q+he9Qd6kz +zsT+XPydkrXsB2hYFX5z1vXQAfBbnPc1dvuif5C9RdAryHoS837ItsOfhayM +ZNoKnonNbfDPQ0dODeHGaN0l7BkuXWgI5z+C/Gx0D1b5rAZoFvhObD6Gfh3f +/CPf+yI6f6YdY8X6Nfa3gh+MjW7gk+yZw94O7OnB3mPwNcRuD2uXRMdYsa5h +zzr4GdDnxc7pRvBIbL6LrHPTEG4Fb4D6ZBwTxaY+Z19VE6oN+STf1mKjPfz3 +8CPhV8O3hb8D/SnYvpW175D9m3VOKBf2cL/14FBBjoEvaeaYKrar8fkkuKhg +XxRDxTLB3hHOXo/O3eBm0Xd5EWYuhW+F/QXE/w/0D+FzNWvfoV8KzUV3EbIJ +lT77Y+Q/cMYofFuDjdPw9wt0uqH7PWeeJF6Do+9SMR4CPqXCPsvX/dg4hs7h +pq7Znpy1A52zwT+xVgT/N/78B+1t4RqYjnwltiZhc1q0jnT/Zc+AnHNGuSMf +vlStQe+gfxX6V+TcQ9RLZqKTAu9H3gfd49hoiXw+a8PB6/j+BeA7yfXSrGth +OXQXOo9jqwGdheTGG+zPpp2DykXVsGq5K2ub4ddH50oJ560Gz+Pbs1nf7Y98 +zyburG/GNaHa2IdORco+HYjuMeo1qolt0T1TvVN3UMXeOfSXxoxzfDb4EPIR +yFcgPxX5b8SrN2e+x/461lpj7wS+l7PnRvBY6NHgGCqWyjHl2ip0q5W76oHs +3a8eA27A1uByx+4A1Fc1hayO7/9FvRz5MeSjVH/c4SbuaDT293LmZvDWKuPp +fOMW8Dx8HoTeCvjT8+756v2qqSRxz1LvUo0u5PvHqH6Ca0S1Mg7+fmQPqObQ +7Y8O4Q1TldPgb6BaZL9yZrOcY6BYdGJtLfhX9gzH/4NQI/KF+HNDmb+pD/Z3 +qz+kbONb8Ab1SPgu8JvAe6N7rXSk+xX76zm/CP92gN/GfgW2+kNvgTdG71XO +K/frOWMPsqfYPzFvH+VrirUrwWuifVXMFDvFQLFQT3xGuQMdyPhN/ABclzjW +tW3ws62/Sd82piU1TT53iq795uicIX9VIynX3E7wssS5cSG0FDwtcaw26L0F +j+AtXlDp3t6xuXuyerPelM6ctb/KtTGDPfvANyd+C9UTbwF/Fv1Wf0m+fBzd +I9Qr1JPPY/+h6LdBNaBaWMSeCzLuoRvBC6HzM34j1yeeGTQ7KEd7J/ZZvqum +NifOKeXWLPiO4CcKrv1x+P9kwTFRbPSGbwUfrXLu4FaowXYZMazF/nusjVMv +y9uW3jS9bb3hh2bcE3qBD3M3HbLut+pZz0b3cvXwWeATBZ99gjv5veAYKBZ6 +03uB2xCz3eWunTTye6N7l3yQL0eRXUBsXy11janmVHvK4aPgy6N91xt2BbhJ +tX3XTJYCP5J1D1LvqYamRveKh9jzNPg+9chi14BqobhgX3TWZL736+hZQTmj +3Mmhf1mpc7wOvDh61rsOn7qDp7K/O/FtUO8GPx/9VqiGn9O8Fv32qQfNVi3h +2/Fy9yq9QXqT9TZPxuZZfN9A7viPlGesQeCfEt+lYvBz4h6uXl4CPwR8RsG9 +XDU5Cv7PgmtBPsm3i6Pf9gv15qjfQpVpv5F6K7tjc0raPf519e/ot/BqfKoB +Tyv42+TvlCrntHK7HTqfRM8gmkV0p69VuUepV2kGfCl6JtVsqh5Wg2xG4lrT +G9QI3hL9lqjnqPcsj7atO9fdT8z5buSjfB0P/yD4Iair5pvEvUQ1o9rRzKnZ +UzpdEutIVzPxK8j+ynt20Myj2Wd83rO8etQE8Lnoz0u756j3aGbW7NygfpL4 +DnQX6kGj4Euynhk0K3yomZm10ozfhGE555RySzbPSZwzyp3HNA8knjXHtvZe +zZwNOcseV49T7PGpTdozdjH5OrHSb7beas1Et0XPNpoBRoPnI7+plXuXaqhd +3r1Kb2j7vP8p9G8hm8uiZ+HtrV0rmomfiX4b9Y8yM3qm12yvnFkK7ohP9Wn/ +U7wAf2/Od3Mf1Clxzih3JsJ3gL8nZ6w92tsk77dAd5TKe4/26h9mvv4fEs86 +mvk1+++q9lujmthZ7TvR3ehNnQu/OHEtqIeql1Yyf22o9NutOei2nGcpzQya +Hf4HoqTrhw== + "]]}]}, + {RGBColor[0.688866935, 0.69879339, 0.6861910025], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmwe4VcUVhe999xV4Au9SHpxbziiKjSYo2HsXGylqjIliibGgqBhroihi +7CCoUbFEBZGO2KLGhprYWzQmsfeGBQsIgmb9rM2n38dh9pk7Z86cmT17r732 +vN6HjPr5sQ2FQmHXpkKhpPIs/TdK117FQmFIa6EwVNf7arCbymG6Fkr+oMG/ +Ud+xg+s7qPw02tHmidUKhSd1jW8uFLrot31U/676X97iZ1+XvERyf8mLVX6h +ay3J/1P9u3q+n+R3ouwf8iK16dP6Y1vkN1X/VoPvkRkHY3hb/fTNCgX9K3zQ +y2Pp2Orx8D76fVW/ba1yG10f6dmGDr5/U/XHaw5+obrPJX8qeXbc71kuFPbQ +ta2ubrqGq76DrmbJg1U26Boi+RjmQtcmkpng3XW1Sd5Fv7fo2krycarbmzmU +vKnqGnV93OAxMJ5SB4+tIeZvX12fq/7bNr1T8ksa28P6rkbmSOu3osXrxRxv +rj5HMV5dnSRvwxh1Tav7e+oVzaPKubr2UZsTolykPk+S/FvJSyXvrGfruo7m +XvV36DpA8o2NhcIbJdcPrWp+Na/rqjxfenOZ6s5TuYueS7pG6v4P8dwS9Tm3 +7r76awyzJS+WvJ7kWyUvlzyo4vKuGMdM1X8luY/qR6vcT3VfFVx3a9xPavB7 +P1b9iarbX/I3Bfd9W9z31rw8ovJhXeOKlk9DDxssfyh5et3zsobeNVXf+F7J +63ez5A9KntNbJH8i+XjJ2+v7ttPVQ9duutaM9R6msk+swTS1/6jk9S6pri8b +TddNqn+r5PmZIvmdkvXmHzXr+pUqz9U4H/3JeB+NcZ7R5G/meyudpOedfL+r ++l8j9I+1OCHaTFf/F5R8f4Pk1yQfJfkg6VZJOvOD2pzaxbq0b9Hr06fZ6z1f +V8dm68ghueVx2ljz0P1m75U56LXk41jL3PJYtRkmuVny2ZLv1G+rNXt9Dld9 +q+RzVX97yTJr26b7AzWWt6veE181eV9snlsu6/dtJS+VXJfcXd+6THJHtTkw +93jOyWzHeC+2bOfcbZLqe+gaqf4fp3/Vf6H6VtXVJK+j9vO07rfot8vUZsOa +9xm2jL02RfUTVQ5U/Zeau3Vb3NdDVevULZnXCD1Dr55U/SLdz1X98epnj46F +wgt6x42qv1S/91c/J6h+T9X/S/XXqP4S1a+j+uskj5e8nuS/Sp6APZN8teSL +JeeZ9xv7bj2VFY1/bclzNf5+nTxmbN1o9b+X+n+x2TZgcZPtwJa55fbMNoz5 +xI6dofqy2l6k+od031Xyaaxvo9fvKunG2rnrL1ab0yS3Sb5Q8v0ly6eofKDk +fk6NfY8eXVm03p+m8lRd/crWwR0avE7bNXiesdPMO7Z7mWxdO+PTbysk1yUv +lzw47Mou2C6NobPedb4eGBi2aiecmuS11P57yX9X2UVtTlZ5Um75ArU/U/fd +JJ/Ot6q+t+SZmsPekleXPF3ysZI7ST5P7f9Wsow9Oyq3Pv85s01do9l+YmvV +f6v5rGS298jYfPZWKfZXW+72M9R/d8lrSp4l+Z6SvwUbPDD32C5RP5eUPJ5z +Vbarfi3eVbF9Q8bGYbcYPzYd20if2MdeuffyHLX/Qfd36zqowWtzaIP3/l2y +e01a4y3V5i+qv0LXiUXP9eUhU/4l5P5l+1x87xUtLvG/RyXPdUH9HFd0Peu4 +X/Kzd6mcWHdfz+uHSyVPlPy05L2lp6Okt/sVvWZXqv5kyZPqll/K3PYybG/R +5aSQd9Wz44v21/sm/3Zncn/HRp9Xo7/R5w26btT1XcE2cIrkKwq+v67o/U95 +fdF+sL2T++qntXxI8kW6flV03XFRf47mY5yuHi22z9xjkw9P1pvlmeeePumb +trTZp+j3T9W1Anui/qYVvS4jk/dVg+ZzN33jxKJ99MQO/obLJd9X8rP0cW/J +38VvzzR7PrApk1V/bey9/ZPlu1Verrm9TvJrGtuEkvXsCLWZoPrxkp9UfQet +dUvZGGZA7nYbJu+Z8dF+A91fKPn25LoJUT9W5UW6hkteXLM8SG3uk3yx5MGS +u6jvzmVjIeYFe8j8YxORmX/sF3aM9fkrc6jrT0X7NN57WNHY67qoxwaVpM8H +N9jnXRBtLqlb/ie6V7KfAOvuk3x/R7KtmbhKx+qeu/+q/a+Sdehvyfp4dejS +YzVj2WtqntdrYp6xdZNDPiJ5b3+vfi6ue14eyTxH7Gl0qUlz0Fg2bjxE92Ni +bMtl975rs52k7tKoZy7PjrnFNlzb6L6+0jjOV/mPzP54bLQ5NtkuN0qX3uis +eZMOT4+9c0yr/c0hyf7428w2G3uP3X5cOtletH3mnnrwFfZsSti0ER0ss5+W +RDv8JbbpCnQ1nqG8NErqwXJgpbV0jdF9pWy7gf3A91N3ZtHYqnfZ69tV7xhB +DKJnRyRjlMWZ/d7j4a/R/QuL1v9eXWzr0Vns44Si7QXzcomuz9SmodH7B525 +rW5bOaRin4G9RPdOid/Zp3fU/cymYOkGY3Tw+U4aYzV8Gzb1vrCzxCZ8B/im +rYPxPLERNnpS0Xt7ct1Y6svM+5wxjo/vuEjXwqibELbuwGQc9nVmG39lo9eN +OaW/CVFOCrsxs+T9ADb8d2Y9xr42xL75I3Mt23WixjZA5c+T5+0+td1denJc +q9f02rrxQQd9+2Q9c03Ra84eBXNgl4Z3dD/YxvXK1jfs8DDsfKt1gDbYT2w/ +fp84Dd+PrTu21ePfRfLIVq8j8oUxD2AwdACMhZ0AS2E3umlOD279UUcOjjbg +L3DYJLVZvexYCxyytM0xFfhjHdWvrWts0fqOLumRlZiJurOLXjNKsB+xGXM2 +XPLmFducO+v29cRm7A/wOO/DDoAPWMcLI05iHcDnYC/k88LfMKeMkxiIueX+ +sGQMtiwzniA2GBd7gRLMeXXda/xF5phgccRixCfEDjzTnNv3fFN37IC/Ok/P +zq7aF43P/D7mizGAWZFZ3+ebrQfs4401nlf1rseS8dsrJc/h9XXHF6tVXPdq +1GMPeBb9ebrZa7kwdBuZ9X222Wu/KOwDuoKePNdseZVe0wbdwMdhv9gLD1aN +ve8H22tMb+q9TyTvl5X4AJ9e95g6Vrw/GSd2lViW9jsFzwDHsI7ab1bzPji7 +YhtMPRzFEaofqPqxqv++zZwCfAJzxxzerd9rmed1psaT1O4z9X9L3b6C9kP0 +20aZ37Ool3HrGzGGv9Ytd654jK/HOG8sOabEJhJHLSk5tt0kuc3jybwI3wAe +OxIsqvrtVf8LXQ/j+1TOqfvZ9Su2beASfO9v1f5zydskx3WMGd5jrYoxJbE4 +MevbJWPvG+K+Tb+vqWuR5Bl1Y/O3os2XJWNT+AX6+zz6ZC64zyuOLRdFG55H +7l0xXqMv/OzWGtNC3T+XHH8j/0y/zW80RgIDbZY8tieT3/NpvGuTim01Nvu2 +RvtBMNY1un9QcpN+n9tonMZ+203zsEDy0OS48OpGzxFcw8TwWfgB/AVYi9jr +qkbv13mN9vXgvHVVPzn8ytSSOQDsCLwGbdlnjO/CsOc7lD0e/DLlgpApHwp5 +ePgr9g5+Bf8C9mPuxoedv7XROBwsuB6xZfihLTPr3bJexhrYL/gueCb4Jngn +/Dg+HDw8T/OzTM8N0Pwcrzn5XvKOmpNjJH+HTibHQrQhzqNuacjUfRcy46NP +MG3PirmUKXXjBd4HfiDmWVHy3MyvWx5MPF4zzzhd5ayafedslXNqtvVza9bl +b2MvHBQ48rtYoxsCV+9etn1nDW5X/wXNyVD1PyI4AbiBlkb7bOb1D/rGouSd +ktsi0zd4oBAy9r4xcOaRmW1wlrmuIep57ofAEHzT9/GN+CXGj2/im/ArI8N/ +YdPpC1yMDM4BL9AOjAHHh+/aXvWtZT8Lv4rvYUyb6bv2Cy4FTgWOljmEm2Vv +fRl7jbEsj/FcGbzTVTXHN2BTcOmhsX6s3RtV9zFbff6van2ZlZkTHhA27aWq +ueGZmX3soBaPE354oxb7yo1rtk/TM+ONq1psN9FBdJI2O2V+riEzrwm/Sb+U +y6PPYtkyfPIB4WPwU3DG2Fl4455q067rlpJx2sYtnpd3q57LOep/YdV+fnuV +g2r2e6dknjNwG+2JgZDfLni+Joevvibw/7U1czr4q5P07JSav2cqHE7N476h +Zp4IvmhI1ZwOfuwPmXklfOPJmTkg/OHozDq9CjuvirdX8dqUE9V2SM2Y67TM +nBG+7sTMHBaY6FTJe2We146Z9wRYjWcOzq0P20rPN65Yt9kfL1a9pi+o/G/V +6/hy1XYLW4edfL3qNX1V5RNVc2KPqfxT7r20i/p8lu9U/dMqz6372Sy3PcWu +YieH5+ZDpyevFxwr/Oq+ubnXucm+Dxn/98vc/Oxs1f88N386kzhb/TdL3qri +GJE28LFTctuz04njcnOytyZzIM2x39+pWjfeUnmW+rlM9V1yxwuXNxpzg9+o +B8OB269oNLbum5tjHZj8+4xoAxajHsx9dt39lNV2bN3PdpP869zfe1tyPHdI +o2OSddRmkvSnj8o/aY8Mg/PVb+fo/i8qe+TBqzU6HuM7WuJbiLloQ3w1ru42 +PXP7IL4dG0icyrzBFeNnmX98LXYLv4XPuqzid7+rMs9df6vkZXXj9Ufqxung +MbAbXDqYE/2Gh+zbyRga+4cfZc1Xz+2T5ldsa5HxTTdXve/Yf9WKffzNdccc +4Eaw5zsVz8FBFWMysFlzcjwBPgQnHhRt1q4bn4HTLknWB3SBOAebh89Gl4l9 +wYfPBL9GHA02OL9uv5lyzwV+HH96Xt1yPfe4aQP2uKDuZ9dQ/Z/r1u2q5L1y +50umaQw9OpkbAvPDsVEP7oPHgpcHkxLrgIfByMwlHC/zeULgyVrYTPohtiLv +BI9NDLdH7n6mspclf0peL/OeZ++/VjXnxLPYW8ozQ0a/WGv2CfpBzmLv8J/w +TfjQqXXX96q4/DjasCfx6eSb0FnaY1tqFWMw8k5bakwfSn5G5SZ1v4d9+Xqr +n2HNjk7GLo8kz+v8mFvm9bZYF/KDfQOfP1e1jZ+RGU8whvbAFx/GeOBS9op4 +jnzO+yVzWeRb3i2Zbzkm7pG/KRnrgvUeyMy5fFnzfqEdcdwsvetrdChyUl9H +e3KDnwQuBY8sDkzC799EG3Tn1tAl9Jv2FfWzRfLYnsbW1T2erqrfPHmcT6m8 +qe5v6K76CZlx0+c16/V78V1bJa/Lsyo3rdm3bq5yaM2+YxOVv8s9nu3Acsnz +/GhyzLog4lbyVOgPPBY8+sdN5mUbwi//hxxFct7o4mRu/oMmc8Zw9u80mUsD +a4IL/qX2Q3L3853qWvWes5qcuxynPs7p4vvVIzdJLu61Vuslupdpbnvpul3x +1j3xXXzflNBd9GlQ7vd+2Mv9jmkyhoGHODP2C7EWuvOMxrNh7jF/2cv90Qab +8vvkeGBB8j6eF37qyGT5YZWTYj6ZV/qHy+BZ/Nvc8I9Tw35iR+GQ2f/w0aOS +9fkfKg/SNZMYRuVOuX3HkOS5GBPzc6juZ6v+wWRbPids/u+S5YeS7f3ssPn4 +mZnhs/Azs8JPHZwsP4BOdfGY4V7gBshdwSM82Ml1cDU9KtYr9A69gJsGB+LP +Dgvu4rHw+09VzTuyX9hzzRXHMMRYb4Vvfa/qnN1CreH+7Imafd7D5ODK3tuj +i9YzYr6TdD2VBaesflqDUyCOHxNcPOsLt/Rg8EstFcdKcFSLKs6DLZU8qGoe +eXrV8Td9o5dw3tj9I0KP0Dls0f3BJyyo+rv7hy5tUDU3Pa3q9lMivkAv0Wn8 +DfxPazzzQuZ8B3mPpwMLPV81ZgI7vVk1rgJfvVL1+1+PMWBHuaf/8XWP9YnI +zZ0W8SC2k/a0fbOzOU6+5YXAb/9W+UzkTsi3dApOAZ6mS8U8A3xDueKYnZie +OGmb4MK2DpkYBG4OXhbcuV2cgyAf3SPy4B9GPXlx8Fs52mAPu1Vs07Bt4H7w +/6Na/18m8/APqS5X2w3LP54xQQbbU24UMnHrkODJdw2ZGHbPGAPv5QzF0KhP +8Sx9wwduHd+y6tvgEYmztoocxOORb2O+D+8h+9rV+pWiD/TyhXbt3262WZyP +QHfJi8EBb1F2LHav+jlD/Vykfh7LnHcg/3CGnm3srr3Qxbz3lsF9bxHyuxGr +bhXjxIaSi2DeySUTLz5fs53lnewXYkDOfODvFmTeU+ytVf0S98DBwi+gM4x5 +UIx7YNUc31SVH2hs6+m7JkmP/puMFz8k1kuOnxZK/neyL3xV8ldxDgAeeknk +8skhfJOZk4ebXxq5f/jLlwOHvam6/wSmfzczh0buFu5ro8hTwsG/TawCzq6b +o9g6zsOg76+Fzm9YcVwNZ/BSMpb9T+YzPhuUzcsR/+4W55TgRYjhV+b/IqdL +ju7BODeAPv6QuR35zGLF/BK5uBWZuR3yOR9Lngb+rhubEp9dGn7qDn3PS822 +AdgFbDm5KXJX4M9nw0fvn5vPgss6QPIZmvuDe8pXSDfOljyip3MXTwc22Edt +Rqr/Q1SfupgvfyI48xeTMeWLjD1y2/D3zwTu2i/3d5DDAFPBJ+wTOQjec1Y3 +vwvbRlwLFsdewqMQQ74PxiKuqJtjXCvOYrG2cJH4o0WZ8xfkMRZp33zR1VwC +8fuQOJvE/MH14E+J0/vFGbAtIh4gF50FvgRvflYzR7Qp9mr1QqFN41yhb+pb +Me8Dl7lu5MI5T9SvYg6Kc0aPaq6auzvXiI7DDRBjs+bwVvjogRVzVXBd/auO +IW5Q+b3eUda7uq9urmZE5BRYnzO7eY1elH0YI7lnF3OKxJNg1LViz5HvWa3s +/cneHFC1rtxUNfdVinxZ36rjj2ur1tlBobeH6l3HYNfU/8s9vPas+wZxRooz +U+TE4FbIQ/SrOg67XuX6VccQk1W+nln/yPeim3eGfnJGa3DYVXIUQyMvwtkI +zki8pTloKJtngcvljAXnE95M5pTBuEfnPovDGZJ+zFlgwd2S8SU48/e5z5Rw +JuSd5PMinBV5O/kcCedJds19HoizQK8ln6vgfMXryWcvOHfxRvJ5CM5FPB/x +8iXBifZIxqnDknlJuMdRuc9wkB/tL3nriuNkeALiT2LPP+aOaYltT8kdJxAv +kEOsJ8dXeySfleHMzNqS1+1mW4mdJIeNfq2TOy9O7nsDznckn2HaM/ksCOdA +1k8+w8RZpt7JZ4+I3XLJWTLm3l1lk3T2Q/X/vta6YzInsG5uvMY7wZkltXm+ +3TiuUzLm3lXlfmX7J3wTsR8YvpKMScDq4BPOb3GO69XkHDHzB5/MGSnOSg1Q +/Rex79h//8ucyyYfvnfyuZa7VPezZBx3d/g69gS4ZHjyuaK/Zcb6YP72ZH1f +EBhyRMVcCVzLo5nz1OTG+Z73A5uC6fCT4NEjK44DibPhrm4IjhfMw/4D94BJ +wdfg0sMrxu7E4nsln3+6M7ON2y7ywawb+4mxc/6GMzOH5XEGSPKI3Gd0OKvz +m9xnyzhj9kry+TbOue2YW9fR+VszY8UFgf0OrhiLw/1sBPYm5sqto+jq/Mxr +xtrNy3ymh/M8R+TWG/Tnjsw6gW7clpl/h7cdnZubhl8+ObeOoqu3Z+bd4ILO +VP3OyXz06bn38eDYy8QYxBpjcp/J4DzB+rltOpiCGAlMwVnGUcHzwvc+WTNu +GRZYBay4e2AV8MWOZZ/H4+wrZyKPDb4Y3vjpmvECuSVikx2qxufg9MMqjm3g +q/BjRwe+OaTiGAbObMfAMGCZc8PWgsm3ijHAWxxacSwETza2i2MEYoU1Yzzw +t8TcewRWBDPuGTiVvD3nD8BbwwJT8Y2bqtwsnl0zZOwuvAP8wz9rtp0bB+Zc +I2RsKrhj03iWZzYNe81YNon6PWIMjIdx7BGYGW4ajvrZmmOpHWJu2wNjg7vh +2eHFH6+Zo6ZPeIA+wR9Ozo2RwcrwF2uEzDj/Lv+yRXf7gv6xl9nTnBXjPMHI +3Gci4e5OzH2+EN7sOMk/tBm3gdnQ94dD5znrydnLF9DZsAPDI57FJrEWfWI/ +si/hneGfD82ddyRvd1BuLhXudPvcGIJ9TlyDfeH8Cjg2j1iBWA5uYFxwCOuF +jcJWVTuZ8yLP3RrnpbGBR1TMMcHzwb8dFTgbHeAMB3nefiHzG5h55/DLv6s4 +zofP/n3FnA684HOyu5/28DjQTWwB+kkekRzeLvqW9WOPoMOcfRgV5x/IsU+O +/AVc5uWRZyTu2CV89MAYA3sDTvTKyAvMlz/6pIf1fXC0h8vlXMR1kafALn7S +5hj5X8nf/FxmfMIZ8ebAxGBj7Cp+fkVgNfzzGRFzXh+5OvrEFn72k/1MSR4T +X70sMBa+mvj99IiF6OcebFSb15E+0Rfies4RwJvjk/BHYATyWaswKyWxMNiE +PAVjXXnWuORnwBf491U4jBJfgz+nb3w6PMjKfHPBPpB8GPfwE2C2zwO3IR9Y +MK5ivw4vOJYCM/MbnAexI/HYC5GLJCfJ2RDqR4bdYP/z/HORuySHSa4ef0FO +H7wDPzg68Chzhg6AfZb8BFtTstbwO7RFNz7PnGPg3AfnF/Ap7Ed8Wnv4NWIL +9iD2hDiAfQcWnR/fzXxwxo+/Q+C8FfEAeJXv4Ewaf9vQEM91ChzL76tFm80D +32InO0U9bfBdHcMWEXdhm5jXlXm0kBlXt7B1lF1DJh7nXOCq8y2dQ8bOdw5f +g36QB+c8dMfok3f1LZtfwk6yt9qDc7s6NydNrqxfzTgfvM8ZTc7KcE4GnhUf +CrfAWMoxHs4U4H/xm8RhfNvuketY+WzB8dxKm9PgnAe5D3KKcDysP/5vVtV2 +aAbcT83xFbzU+jXjdvD7ujXHAsQEA2qOF4gbNqg5hiFeH1xznAYXtXbNOB+8 +z1nI/QMHzYk9wX6C5yB+QS+fiXw6eXVyyOB9+FxibGLtt6RTv06OVe9J1gnq +OXMCZ0IfrDt1N0U9toPYkLMN1N0Y9TPie5ty/35ztAEHobeceZpeMrfA2STi +6ekh/zZZvi85p04+/IGqz0rNiGeJRen3Pf3+m+T+/w4HUHebT1V/QPKY7o3f +p8YY+H1W9EMM3S9yVeTFyflxlgIMCH7jHqw0J+YTfAoOB6PuH/k27DVnOcgR +cp4D287vcM5wBHzbR5l1ER4YjArWA6vw/A65xwNOBG+CjemLnAG5Rs6dgE/B +QtzD784LuwvvC/eCbYDfnR/7Gh3ku8BY6DN7jPnj/Ni0mGdyG3C292fWd3Qa +Ho9ySchPRi4KPSeOmRZ9EA8x/6x/1+ibfcTe5Xf2LLgI3gY9g8eDB8BnPxX5 +cfLkxLzwAKv4X0rwJ1wpMhjricihk0uH16QPcA9xJ2vJu+FQec9HgQlW8ogF +2wT8Lv6PnBfzz7pwNg3szfk0YhTOQ8I9N4XNW2n7mxz7kAchFqZk36zEP6ve +02SOF07uKtVf2eYYAxuDnZ5Q8PqMjjX6LPOY0dNHYp7J8RF7gfOwXauFT2av +ES+y39iLHcJOr/RRwSsxVs4JL4/540wjvCGcIfkQuN+lwceyTqzRqbnjAuKD +bcPWsdb3Rz7irNx7jz24TW77tPJMasF7jL20VW7uifOTvItyacj3hA3ZLPff +cSyNM5b3xn7cIvf5PPzW3pI3EA7t29O44IHIU5ydOzfD/HZNPnvNueuhuc/3 +c85/cO6z7Jy93iT33xjwtwYb5c4D8f2dkzmVeuC3owPPEV9Qj/7VfoKPyfGB +Gavxd1UDIjYAE4K9e5Z//Puv9pDBjsQOfDtnO3mOeYZ7ToHf6JeYAP3h3bxz +dLRhb+QRNwyN2OHkwLjoGGc1q3Fec3GsJf2D81K0xY4yHvb1g5EzGpv7zB9n +/+6v+YwFuf5bknPS5KBvVvlJ5ufheudrHVq6+xn4pzHt1mfWjzUGR3HGDr/4 +s9xtz2p3+1cy88PwxOyz9thrnM/gvMEMle9k9hFwwJzD4EzCvORzHpzxmKPy +g8y2Gh4anqOhu7kBzjiCn/bMnT8jj3Z+bp7vzHbH9PjDhYEN2IvsScZGXpnc +659z58zInZ2TO/dJDvS83OdZsQu7557vSugAcdI2PR0rrVMxZiMPTI6QfN+4 +3H8/wPn8r/HPWfCxyfl48vJTknOH5BDPZU9lxuHgcc5/cA5kfvLfUeDL+6nN +y5k5bbjtNzLz5y9H25VnZUqON4h/GBv5EewXtguuvHGVXPbfH2K/iAcbIwYE +M/K3UuBGcBM28rCwb9Rj4yh/iFgPHEQ/YCHKhpCxXeT2wB/00z1iVfhGOHBi +rmK0R//hgoshE7MUY49kMefnxV7rEfpMrMkYTgr7tixsXC32L34C7AZeBb/x +92LL4+8miInBncTaYDT+Fhec1hY4E5myLfwWcR/nfdnv9LEibCs89fcxBvzG +srBpcCa0Zy8To9EGO9Mca8F4Vs0Lcwv2XxFj+y7GybPME+tIDEsuqE/g6kfi +vM2jdfuxvjG3PMtYd4i16xs+DjvE32it+tvo/mG7iB0Hhg1kP7M34MGwbdg4 +niPe7RftOXMAJv5F7t/7RxvWlDwH4yWf0Tt0jLFnoYfYsTVCx+BLiIVoRyzN ++7CXnBuAk/w2ue8B8d4xwaHj4+CemAfqyEOCZcGh5Kx7hM+iHh7q/Ti7ggzG +GxuYFR+6JPm8BOcm4KTgcRg7Z8g4JzYLfrJiHp+/lWHMa4bOMKfgNtaO+Sd2 +J47eMXAFa8F6ER8ybvKFtIGj4Nn1o/3/AW7OirM= + "]], PolygonBox[CompressedData[" +1:eJwll3d8VtUZxy/c8CbEzBcS3vu+uRcihIRAGAIJm4pVO5VqAbcQZKQyBFxA +mUqrdaBGqSyVvRGDUrW0rNKKyAo4EQKEvZLInvb7fH5/PMnzfZ9zzj333POs +7OLh9w2r7ThOg1qOE8f/Xr7jHHUd5whS33OcUfBN9BvIbfDjcBX6WSSAm8Gv +or+AbI44zr3wAfQKJAV7Apyf5DhTQ45zR9RxhsPXsF1FWmLvD/+EXoPcCv8e +3o++D0mC28Mz0N9FvmH9tvDf0d9ByuEH4ZPoJ5AI49vAb6O/hWzH/hxcy14M +KcQ+CL6A7TzSFH4Svox+CcmHm8OvoP8N+YL552OO8yb6RGQdPAF7PGuFkG6M +bwq/hm088k/sf4APoR9E0rD/y+bY/lMd50rgOPdjPwxXImHsY+E41nKRTnAr ++A1sU5GvmNsHPo5+DMnE/lv4R/S9SCL8MHwa/RQShTvCH6C/h+xn/vNwLmdf +m/WLsB/gt/ddjXmI/RyG56LPQx6Gj8ML0Bcij8DV8DL05cgdrPUJ3MHVHemM +fQ3c3dUeu8D/gO929U26wl/Cr7t6pwLbOzwLfTbyIPYyuLGrO9MB/hhu4+qM +OsGr4XxXZ9oR/g6e7upOPADvgae5uhN94A3wJFffrBd8E/4cfRXvXwLHcQbr +4NXwcPg69k/hD+FB8EW4zN4X7gdfhdfAK+EB8Co4w9U3KIRrs96/0cuwD4XP +Y18FL4Mfh3fCpa7uZG/YYfxa9I+wPwmfxr4YXoI8Cidg34C+Efm1+Qb2lehL +GX+n3VX4Y3gF3J/xH8FZrnymCM5i/hlXPvoo489gX4p+pY7j/AI+AS+CL8Pd +4CPwfPgi3AU+CM+Bz8Gd4PL63Ml6fFPu7xjzy4juVjX2Dth3ReSLx+Db4M/w +l17EkunxnDv6toh8sRJ7a+wTM/gOrDed9W5PcZyvI/Ltk9jbYf8engmfgQvh +rRH5Qpg73BL+X0S+uYT3z4f/E1HsiceeB+fx/hdd+XQJ3AK+4irmDIU7ePIF +87nRcCO42lUM6gc3gc+5ihED4E9Zv6crH+vG+bbGft1VTByB/ZaGxEjeZw3v +U8L7juP9XPgw73ZvXc6U8XXiFDPGMX4F5zkQeYWYWJHM3YkotrxsZ878zyOK +Jem8T475NmPLwrwj603kTOqw3nqLn+h3YU9D3mHtbMano29i/mRXMfki620n +5jbl2uXzPXagb0GGwLnwl+iHkMfgQrgSfStzTpAQ3ATiD3obT7E/mfVHsn57 +T7E0BX4WzvEUSxPhgfBu1mjHkALW24PezFNsvQX7n7BvYc2jrH/Dno9e4CkX +JGEfhv1KlnJF3UR+R7/MmY/m3Xtzpy6hr2PNMayfzfz16KMsvsBDGH+a8XVY +oz62KXAI/TvG9MDemt++t70hm3j+Vp7RHv05u5/Yn2J8NfM7eorFqdjHMH+M +3W/so7Cfwz4afhseCf8EL2ONlxw9czn68+bv8AjsNdi7ZxIDuBNT7K6z5tN2 +n7EPxX4G+7Pwm/BwuAru6im3pDF2PM/fxhmdZr91+R7b0XcgVXAqvBM9izEz +4xTjffSo5Uu4KRxDD5BZcB7cEL2up9wRgn9j9x+Zjb0hnG3+xZqVrH+J9/kC +PcJv07HnYPfM3/mtBnuY55ejp1i+xd4Ieyr6db5REnc2jTt7Ez2T397F3gR7 +A/QwMg2+Fa5n38ryOdwYzkB/y57JeUzj+aXo2Z5qg7rYi7GPYO2adO43/rMB +aeAp9y9ijQewe55y4WL4ITjDU+5cCPe2eMj8PmmO82KKvsnqsHzMfMt+8z3V +Ngk87zHGb2YPB3jfGvbzX/R0T7l7PuvdZ/eduZNZowFzx/J7PU+10wLsf8Se +6qkWmAf3tHjhqbaZA/8OTvZUK82F74H/7OtbWczobL7HGaay/kiec83yMe9e +zP4PJOsMlnDn9oR0JxejL0J2h3QHF6JvzpIv2Znm8+erqHzfvuFW9I1R+ZL5 +xAb0BUh5SD4xH30esiukOzoXfSayDX4NnoE+yVeusxjUj/2+z287Qrrj76Hn +ReVr5iMjLbfAO+E34A/QJ/vKtXYnipn/oq9ca3fmCfgFX7nO7kh/Tz5lvmV7 +bBWTD5ov2ju3icmHzZdtzwUxxQSLDbbnnJh8zHzN9tAcns0etocUQ2ZF5ePm +63ambbHf7qv2sRx61mK1r1xsd74v++nuK3dbTj2JvbOvWspy6CG4q69aynLs +UbjIV+1jOe4H+DBrjOPulbJeJfquqGK1+eBO9G+iiqUWM79G3xtVLLMY/QN6 +UUy+Yne00O4qv7WNV8yoQO8UUy4u4Bkd0Y9EFesthhxGnxNTLLYYeSf7WRJT +rLGc0MdqPc6jLzwNLkL/MCbftxhcgv0pX7HBcmIr9r8ipthkOaYv9iG+fN9y +cHPsT/uKTT/DbT3FQIuF9g1ymbsgptzTk/n3WK0Xk+9ZDmsLP+Ir1liNE2N+ +X1+5z3J4Q3iwr1hiNUAuPBMuTVAMn4H+hK/YYzm+MfbZMcU6y1ldWL8yUOy1 +GtHF/itfudhqsnh4f6BcZjXhFcYfCpQrrAasZfV1oFxpNecN7AcD5Uqr+X6G +KwLlOqs5r1ltm6mawGoBq7HOch7DEuVDzdjbhSzlMqupVvC9PrOex1WP0oq1 +4pFS5uYRIzKpRcZG9K3sTi1gPzlZult2Bk2z1INYL7KJ+fejV8WUW+0bV6OH +At0VW9PWrk0tUwc5mqKapiBQ7WF7aGH1dD3VPFbrHElRDWS10CfIVexLiFXj +M2RbT7xq5+nbW0/2DGfbPFBtajVWPnoP3jHRUc9oveMk3qt/pmpFi7Gn6isH +WOy3mmgCa38LBynqwyw27oEzUxQjrTZbm6nca/uqSteebC9Wg9keba8t2cNg +9j4xrJhusdzWeD2QzWqQqej7orqb5mP70SeEVSNbbZzBmGKeNT4s3fZ0nP3l +hnWedoZW+5Zl6vytBr7bV61vNV3I+ulAtbn1UHnofqBa23qiLPSlgXKP9VB7 +rXcIlFusJ/oWzmW94jjVgBvhFr5yu/VgW+DyQLnfeqT18PJAucp6wgrrBQLl +JutZdsB/9dWrWI0xiP39xVcvZTXGQHhhoNxlPdhuxk/x1UtZzTAA+0u+eiOr +QQbDL/vqvazmKIG9QLW+9XgR9F/6quWt56mxXixQLrce6RScHKiXsB4sCT09 +UO9hPVAaekagXsJ6yvro2YF6GetZG6HnBOp1rGdtgr4rUG9hPfpa1n8motxk +Pmi+uDJQ7WA9ciW2vYFqA+vxzlmvF6j2sJ75GNzDV29iPXMV/GOg2sV6ygvw +vkC1svVwl+D/A6bJjIM= + "]], + PolygonBox[{{7931, 5234, 4293, 909, 7101}, {7102, 963, 5505, 5132, + 7932}}]}]}, + {RGBColor[0.7671863750000001, 0.77125569, 0.7498462775], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNnXeYVEXWxrsbhemZ7um50z19u4FucyAYMIAomHPOASMqqKCy5ohZSeYs +qGDOgGLOESPmHFZRV0V3DWvO3/vjPTz7/XGfOl1Tt27dulWn3vOeUzWL7T1m +24NzmUzmjHwm003pCW2ZzIm6dtOPp4qZzJ+6NleB1ZuZzB+S76xlMrcr/UXX +uspfWOlPum7OZjKPFV1mU+Wv0fS9d6n8wKbLz5ScVfqjrrNU/i6lv+paX+Uv +1vP/LmQyE5XfUF6uPZPZUflr6t6M5Ht177PK/0vXlsp/qej8bSWv1/C936rM +pXk/g/rrSrMqs73KfMa9KrOo8heT3E35Oyt/SNN13q17BzXdntslD5b8u+RZ +kmdVMpkLk0zmC/XLPZIvlfyD5LskXyz5a8n3SZ4s+TfJD0i+XHJGzzuqmsls +V85kTillMo8of5ryC8p/TPLVkjsk36fn/KZrQ7XnWJXfUeVPV/nDJW8t+UTJ +DxXdno1VZrWmy99Rc7p2yffS9+uW3P8H695Nde8x+v2EnnWtntWpZx2i/C2U +f7zyn1L+9cqvKn+o6vxb99+jOucULW+dc7/+UPR36aN0YfXbbsrfMO9vQP9/ +VnD/0rdnSP6X5LzkV5R+q2uE5OWUdte9e6j8UJX5XL+HKD1J16d8D5VZoeny +96kNJ6n+xVT+COXvpPzFJb+u/NX0rX/QPR9I7q53WEL5PVVmRck/Kv8EyWN1 +7yLKPzTrdNGQqW/xqHOhkn/XJe/YdJmXVecmDY/plnom068lk/mv5P1U5hrV +mZN8iT7rTZJbJNeUv6bq6RFzYfOG89t07y0q01p0/WupTD7G+aYq053+UZkN +Gh6r/9Vz56nt30s+QOW3bPjeosrcpnoKRb8j37ktxslote07ySOznn/dYg5u +2HA7F9a9D+n7Xqnv2111X5f3e1FmKaUL6X2HqZ4b8m5PVfnb5P3N+F6vFi3z +vmM1ZnbRmBmv558keTfJkyT3lny+6v9IY36i7p2ka0+VX051n883UD1/6tkX +5j1+1lD+VMnLSl5V8uWSl2JcST5TckPyIMlXSF5a8sqSp0hekrEh+TLJi0v+ +ueBnnSx5atHP5rn9VOYcyU3l/64y50keJ/lXyWdLPk3yuXnnH6fyZ+Wdf5Dk +ZXTvBMm9VeZq1XmB5AnKn1Z0Ocpc0JXJVDo1bpU3QOUnK38Jlb8kb72Dzpmi +v50geRmV/0bPPTHv8Xa58k+WvKryv1P+KZKPVv73kk+nPXyXduvhXpKvUPnT +JK+XcXp6yNR9YtTP+GWeMMauVPlxkrfJWJdelPd8ROddHDLvdGG811VF9wX9 +QNmL4xvxHrzPYpIzRf9GZm6Nz3t+8Zzx8axcyXOMubCayr+j/GuVP15jY1+N +kwv09yN074u0WWVeUDonbz2wgsq/FDJ5/O2qjMu+FOWXVZlnJU9T/nNKn4+x +0b/oeyi/ImNV8tUZl30myp+qNuypNpytNgzTXLhbY3VPteUlyWP1Hb/RfSXJ +z6CTVWci+WnJPSTv36G60M+Sz1I9+6ueS1TPGZL3lnye5A6Vn60yC6vMrDST ++VLy6aq/X9HtRE/SrpejbS0qP0r1bqzyRcmzVH4TyYcX/G68V175o1VmU8kP +9bIO+l36qV35PXS1Kv8AtWFDteEItWGE5PUkHyr5SNXzasyvldWG1yTvlXPe +a5F/lMq8KblP1v30bLSTNr4S5WcrfTrm5utK39C1d84pv6/RuwxS/W9F/ipF +/4186n4r6v9L7e6v9v/R9HhBbzNm0NlLtnv8byt91a77E+mrGXnLjP9m3vgD +7DG7aJk5fo/yq0XrlnX0zsVYE2cpv7NoHbKB8rti/RrWcPm66h+c99pGfo+8 +11Tufbhomfl1u/I7itYDzxWNOZj72zecX657jS0Fznmx6DqZR/3yLg8+WU9l +kmj/hpLTWCt3Vj0Vyanq6cwbM1HPCcpfXfJQ5R8peSXJq9b93ZD5dj3a/V33 +im+xatH9f0zD8moqn1eZNSTvq/z38q6zr+59vOhn0f/HqvxAyYPr/lbIfK+7 +8m4b+nPHhvuzS2XWV/vL8V6s++jHCfG+06J/xqr8YNb0unXA4GhDS7vHCu0E +0y1SNK7bW+WbkhdT+X+3GFOyht6rezfWOLlcdd5YNFZYcgFeCMzQrWS9g87p +rbVnKeX1Uvqg7t1E8hW6dzfGnp73Rc33cx/zjvWBdeK00EVbFKxDmAubF6w3 +iqq7UPJYOkj1lpV/oNIeJWMO1mLW54VL1r2kC4XM+t8t2vao6txU916pOp+U +vJnkqRnjOMYuY++HFuNgsMHdRcvo9huUXlv0ez2WN2YFr7JGXxPr8vVF9xHv +d6Gu2yRfn3F/3BD33lF036qbM4/k3eesWejB6+Ne5sVVMYYfyht/840ekNyz +6DUXHN2raCy9R8P5jbrn6dSYm8MbvndR5f/ZYlwLVrkvbyzOvfcXnc86uHvD ++b1VfggYlvcBJ0jegHeRXFM9G0k+vpvXrj8KHnuMd8YW42pA0XODebFyyWs/ +6/7aDZf/T80Y9s+wL+iTtnb3C+OUOcNYXalkrHBazJdSu+fMxnxPyf2V/zI6 +oN3YF4xUaTdOGqJn/QL2rblsXdctYI+m5Ydq1mMd7dZl4JefCu63Q/K+h/L0 +T7HdfYReam+3bgKz/FbwN9pBdfaibTVjp77txkK7Ni1/WjOe6hP5w5S/rOSP +asY5yKzjOzeth9+uebxTnjHfWnI5dGBLybgEnQw+Wibu3YR50G7cyLgttHvs +rtlwO+fVjK3oE/TDoXmXPzhwztLtxjzk9Yp8sM9Skb9L02XeVz2n5r1msF6s +3nC/zVX+gJKxIO/I2jUgdCO23RIxX0aq/OKSl9IYG9HwPFpS8lN542Aw8BEN +37uK8seozkv4rhp3T+R9L/gT2wW8AlYZqDJrMwfBsZLXknyh5MGS15M8LWtd +tbGufRZSm5W/vuRrwEiS15V8RdY6aUiUGaT8dSRPzto+Hlo0nlxF+Wvy/bNe +s66IdYq148rQ58y1y2NOgTv6Fo0lWNux2VjfD2pY7q933Lphm6JU93h+KfT5 +wQ3fu1zd61pnu9e29pJ1JusC9l+/qPNQlV9e8oC67Ylloj8PaLhvl61bv00J +nYaenxy6iLU1afd6CdZYumi8cUjDtuKKKjSq4fw+deNBngUmBPctF98CvYxd +Oy9jfH1KYOzBqvvKwJDntQrr6tpVOmQpvctPujbK2m54oNXj531dO6iuufSt +/n6PrpVZL+JeMGGq9neoTJfSsv5+n65VlN+Ffa5rYNbP4B5wGvfx7BZ93wuU +XthqXgV+5YKQ+7Y4f7zkquSjWj32Ruv3da3Gliu2uB7q5r7zW41Xx8dv5CNb +fS+2KuvGHrEmVuEddA3CrtTvLdrczhfBSZI/yLjtW0b+hm3OXzXr91uzze/4 +QMl/I38gaZv7B93caLN+rpRcjjJvZP2sD1X/cQWvSb2jHCn9f7TKPq3rKHSJ +rmd4nvLrcBO6VqfPlT6ma7Ws7bAHW62fqaNX1FOD49A1WPKYvPuCfjhC8hGt +tmdvZL63ep29WekMXWO7eSz8GOOB8XNvq/UMdtY9rbbdsL/ua7VequtbTI97 +sYPub7U+HMU6LvkApccp/+5Wcw486yZdB6r8jSGD+W9Qekur+4P6bos6We/I +b/Zw2Zsjn79TbhHlL9rD+dR5favrop4Fz2Cs3tnq9oyMNvO+3He70jt0qesy +M8Ekrcaot4IDW41J6A/GHn3ybt44EgwJrkRmraTflulw2ZuZj61e668HY7Qa +y02XvHar8e3dkke3GgPfIXmnVuPJw/JuK+0c2eK2jWjxHJvZ6jXx0azH25sZ +/21Wq9cL3pv3Z67QXzeEfCd2Satx/nVRhndhTg+Mccu4Hhpj++ms5fdU/49g +Ml2PSf4+5JewSeM38oK/PQqmIsX+AM+onras5UdbzV2wRpSiTHvOf38kyu9P +v8Q9B3Xz/EZvDMA+1DVbZe7NWL5H6TZKV2At0jU54/QypWuqnlbd25K1boHD +RUesrfy9subi0B/oEXQR7Xgk3rGI/aOrEO17iO+DTmg1hwOOOhCbrrtkPWOm +fi+na6F4NumlGevhXxgjuqYUzCmAtW6K8cuYZ/wyFhnDlxfMM7DGPdxqboc1 +jvkNRmeOT6cPcsa0j7Sab2GdfSjafEd8L/qwpOuinMvfmvU8Bjcwl5m7YAvm +L/MVHMOcRfeDk9D/t8YcHNbN8x5ehblP3T9GX22fd1tpJ9wJfUT/7Jh3+2jb +MGy6Vq/jO+c9DhgDvTX2XgQ3SF5C6Se63lKdSyr9V8nf6GKlH+u6SNduuvfx +VuOEZfT7c11ZyccpfU7Xsbp66Xoe/IG+UjpH11hd++re2a3G0ntjR7caS+8l ++clW45A9JD/RaqzSR/fM0/UfuCalr+k6VVdT1+vgFZVpKH0FjBJjsz3GJP2e +ZD0vpmpsdWbNmWwX+fyd+Qr+Y84elGodT2x7oSPhatGT++jaCn2va2v9ffuq ++/EAle+f2H46S89/X9eZusbpehM+RtfJul6Gm9S1uK6PWKuynrt8O9qwCP0N +PpO8qNJ3wWRgAKXv6JqgazFdH2B78H2VfqjrnJKxJ2MJu4+xfGvo8KML1o/o +xv0L1qGUgZOAt9049OptkY9d/Hbe/BjpO6FLDyhYV4KxT473YJzgP4FHQD+/ +GO9JPtwDXAl6dbT6Z7nE9ut+Beti7FB4YjhodDJ6Hl4DPA8ngUydowvWxWB+ +nj8j2oCtD5+Cfqa+W6JO1lC4b2zbQTm386eMxxw+ih8kH6n08BhL43KWh6r8 +ISVzVOgHxtqRUWblnP9GPrgb/A2fvErOuODbjOs4IupZLeex+YvyB+b8bJ5L +3umRT7tOibadFmN5nZgjY2O+jIuxw9h+PcYTMvPphCjDeD8t7h2cc/nfMubS +r4VHQA8W/Rv56rz9BNjmtaLtXngM0ntDxr6Gp4CjIOU3tvZaGmNXxVhirYTn +guPCTmHswxssWfTvqcEnIIO3Dyr4Hsr3LrpO6h+qOqflze0sEzib8v9Q+fvz +tutpF+3DNse+fyBk+CrawHpN2Qei/AFa81srnufYWNhI2FmHFcwbguEfzzsf +u2lkweOGMUOf0Vf4IPCHMJbAYyMKxg3YkozHWTEm8avgnwBLwHlcHX2Lr+Oa +qIf7boh7Dyx47cdOgf+DzwIDPJw39wHvcUjBv5EPLbittBN9ik/svxlzVI/E +d4HDeSzekZTf8Dk856541qJF/43840I3g2PBs8eFvGrO+dR/juRpbdYzZ0m+ +vM16aarSK3X9Ebz6piVz62fnnI++Olfy1W3WbxMkX9jmsXpVm+v8S/dOUDo+ +bBl8pPCPfEd8enCj9EmH0m1K9tVg321dso03UX+7uM16Bq5r89B/8Fublexz +wF8KJ4h+uKbN7cnQn0oP0TUEjMB8CXth+Zzbg33RX/JpgbvGSz6/zf1zjtKz +dX2uqlZS/rltxv/ntVmep/wBOZcB51/Q5nvRDzu22XbDxvlE1+6SP8EvoPJn +toXt0Gb5X8pfQfkTo/zpbW4PdtC4NrcZm2VSm8tQzyVt7hP0zEVt7nO+IxgL +rAVXny5sebewyU4MDHaq0lMCW47Ke+0AY1zR5u+OPpmk9lzaZj3zna5R0Q+s +VxNjzcIG2iPehXT3kL/UNSLeC5tpdPTbyDbn01fYRiNDvjjwBeOHdfLikMnD +v5HL2i47KvQt6TGhh9F/40MHrp7zmslYnRjrJ+3k+aOiDeDBA+PbwaMio+eH +5vw8ngWuuTCwzVmxtjPOf896LH2Vsf26Y3yvKUont1nPw1NtWTInBU+1Rcn8 +0WElrynce2bO5dHtcFxblcxzsa7jw2Hc8vzzow27ZS0PifSCkNfIuW3ML7DD +WdHOy9r87Vhr6INJ0SdDcn4G9XPf2XEv+OLc/4cxzgmZPuPb02+lkuckugW/ +zJYF+49OkO79s8v27tmS81VjtL5l4YuqceJk5XdVjSunSE6r5jyOl/x7l+3p +Pio/tGyeoa6/13Qtrfxly/6NfKzK/9pl/uAkyX932S7fT38fWXUfn9Jh/xPr +er+y/cGs3WcoP1u1TT9ecreqserRkn/uMl9ypuQeVePKiZIXrhojr1/2M6j/ +MuWXq8bL50puqxrHHasyz0l+Ev0q+QXJs3lHyS9JfhZMoHRi2TbqBKX/1e+f +GcuSn5H8uOS9hJ0aiW2VvSU3E9sk5+ueYtU4cazKvyr5BfpB8nuS32DeqExS +Nd68UHKpavx4qNIJHcYQW5b9G/lEyW9LflXyyZL/KfltsIbkNyS/RH9Kniv5 +Pcm7qC27Si6pP7eTvFPV2H17yTtXjek3kbxF1TbNppK3rNqm2ULyNlXbKptL +3rpqW2UzyVtVbWNtLHnzqm2jIZLXq5o3WVfyhlXzBNggu+ftH9lI+ZtVbVet +I3mDqu3zR4UFVktsz/fLWddhX+/Tqe9XsS3He6LL+HYb4POsGvuvJ3mjqu2D +9SVvXDUXsKHkTau2w5ZXnyxStY3SX3JT8rIlp42QNyk73gU9NUbpuA6vu5uV +/Rt587JjX1jjRysdVTUG3ajs38g76Lm7VG07ndZhPyu4c1vl71i1vXSg0tM7 +rCM3Lvs3MrqfNYC1YFvN16Nb/BubqLaw8dKRGmOLJMZBa+redXXvPNnCWypv +26ptSOblOlXPzW2Uv0PVduBWkrer2p7cT/X0S4xFRkjumxhL7iO5T2JMt7v6 +/4KK7avtJU+smIvdTvKEirnYbSWPr9g220byuIp9EXtIvrBiG3gYPu2Kec+t +lX9GxfziDUpPq3h87qn8iyq2kXaVfF7FfsKdJJ9VMVe9s+SzK/YX7Sj5zIr5 +7OGSL6nYJt9B8qSK+ezdJJ9fsb9rmORzK/ZT7SL5nIp9j3tJvrhi235vyZdW +bM/DZ/P8CXAsyr+y4liTkZIvr5hHGCF5SsW8w76SJ1fMd+wn+YqKuRtiW8Z0 +WqeNUjqtYk75AMlTK45T4e/XV1zmH53uF/oEHw/vin8HDp2247uBGzw+bw78 +JunCmyr21R0Jl9ZlDhVdxlqOvkXHsX6j8+HKeW/8KegvMMF8frToPsYX8Dj9 +lJj/mqTxcmmH1/gRGlcTq17rdi47poe1/DSlF3V4Ldq17Pge1rCTlV7Q4XVu +97J/Iw+TfELVa/5xSs/psO20U9m/kbchNqFqe5Wy53W4/NHKn80Ylvy90u+q +5g/HK/9byV9KPlXyp5L/Sdskfy55ruRxkr+W/AXYRPKT6DfJZ0j+t+TPJJ8u ++UvJn5b8/EkdbsNWZcfSYaNuW3ZMHvbhEZIfRX9KXrLF85T5yhyetpB5jP3K +jv8AG13S4bgWMMGRyn8cXVpyv06Ivh1edowI2OJwyQ+jM0v2BcC9wc2u293P +of7tVeboqu1M0rM6LO9QdiwgNu3Isr8l33GPsuNawBP4j/Ad4dfeq+xvyXdE +p/Tu4b8N0Hv17OFnH6TxeU3FdubDSgcl5n97Vb0GoP/xwY7Imzs6VvUfk7ff +E75oz7xxCD4uZLgjsMkekQ/vxL3XST5L9a1VsV1CumbI/yl4/MP5fIGejPJD +9fchFdtAR+WdTywcfuB98uavGAdgVtbczxLrrEMCU4Ot4WQmJa6LerYpuE3X +BfYenbc/BR5seN7xKvijjov5+JXKHxvP/SNiVx7upTGo/CPz9iM8Ix3777Lj +HCfoWWtUjOXhR+FJwfbEBO1e8bPwQXAv8VfnKH+dim0m/IHz25C1z+IfeXMI +X6nMr4nrp++Pjf7fquB202bwARgUfHJgvBfPpc+Oivc9puB6qXNuwfXjE+H5 +a0cbmGPgUXALPCH9DDe1dcG/kfHPHhr2NT7qQ6I9g1n3K8bjxE/tWbEfipip +vSoe2+8mXg/QxcQ07V3x3CIGanjF43Y3jb2DO+wjej+xXkYnfyx5dKfjBf+Z +WC+jkz9MrNPR5+MSt4M29FPat2I776PEOhr9/InkAzvNg8xNrMfR4Xy31ePb +PZd4XWRNfD7x2sm6+ULitZN188XE6xNr00uJ1zzWu1cSr0OsQWtXjYNZC15N +vP6hl19OvOax3v2sd129077ETxPPSebja4nXQtbB1xOvl6wfbyRe21jX5iRe +m1mX30y8FrIevJUYb4G19lW9B+XtSzhd+YMqtlHeSbzOsca9nXhNZU16L/Fa +yzr7r8SY4NAYU4wtOH90LnYa9gXxcXtUrMfQ13B5YLO7aE/Ffsc7la6U2A9E +jNtOFc/NH7qM7cB1Ywr2/RBb+FOX8SXY8pcuY1Nw6X+7jBfBikcp7VOxXX4j +OKXT8Su9wTgdtm8bkk/sCBs08d/IP0Byr4rtZtLjOizfLXnlxH7BG/SsmxP7 +KfdX2rNim/OPLmNrcPWiVeNUMGqlavwKdj1V6aoV8wT098Do8xm6d3riGKYH +yU/sD7tX8iqJfWb3S141se9ttuQ1EvssqW+VqPOOxNgCXFGtGn+DvU9WunLF +nET3qjEi+PCvLmN9cP5vXbYTsBF4p2M6/F7ct1Lcu1DVGBT82VI1/w73nqva +lsCOyFRtS2BHPMncSezPq0s+qsP+41TyYR32rbVWjV/Bru1V2zDYL4Wq8TRY +urNqzA3e7qjatsGuGat0hYq5H8bI4TFOBihvxYq5n08LzsdvuIfKl8GWYFHJ +XZIXaTM+xY6i33asGMuCYynbGeUvVP/sltiHzTOXj+dSRyXqOY5vVTFHdXDB +Oh19fmLiNtGeYxLrIPQPZftH+QOZBxXzH6MTj1HGZ5Ux3GF/ZE3yER32r49M +/Bv5EMlLVMxR7Ze4r+nnEYn7mn5eSumSFXNXlF08yh+W+G/kL6Z00Yq5qEVI +O8zVHZT4N/K+idtEe8YkvofyyyhdumJOkfc4ucPvckTiv5HPvFw25iYxg8TP +wd+id6+uWPcSw4T+I3aFGI1vC47TWKVh+Y2a+eo1273WH9S0nKv7/qGRv1zJ +cdX45nYpOR9+e/mS46rx9w0rmU+HS1+u4dj652peH5FZ34mh/rrguBTi7r+K +/JUazn+lZpzy74KxwfLK/1Ly8zWvycisg31Lxgdgg9Fq8xA9lxtWbPjeOTXr +d9oDphqjMmvDp6pM35y5DfyAxDLA0+Cnhk+CF4EPZD8EzxgRvCax/HCScIfY +03Bue2atm7PBDfYouCzPXDueOzxrTgg/I3wtGArej7jy/xb8XQY2LL+jNq9Q +cmw6PlPWDHwM+BdYh/Ab8X3hpMEg8GBwz+AIuCx45P4RY9m/ZMwH3iP+n/4B +87CurxEyewEGtttnOqJp+bea1/hVI5+1fP7eAMk7lJyPr4E1D94froy/rxZl +diz594J9BKu02w8LFvss9gGx74R4bfaegLUuiDHQEF4+u+D4mnv1e6LklZTe +CWctecWsfbZgNPpzWfXbJ5KfVJvv0O/TCvbTT1f9p+L/iHik1duNmQ9oWv6r +ZiwyOPK3L7mt+CPYX7BSu33Kw5uWf6rZdh0Q+Xsqf0XJP9S8PwIZ3/TOJfct +McPblVwef8e2JZfDjwP/D/fPNwVvrRD37tN0X/2iOncquW3EUO3XdN/+ofy1 +cl7z8d+ByVaOvqW+5dvtE+/bcD8/XfP4WS7yd2+6zL9r5mXhL+Fm4dfh//A7 +EIMMB8o3bbaYT4FLKanO7SW3K0107SC5Q+l2eefjX6vr9y6Saw3bdNsVbNeh +c5OCedZe+tswyT0bxnD4bvHPwnXtEvHAO8FTROwu97BPC04efDaqYF/qLpJ3 +ipjeroblitJU186Sq7Qx73bij9s17/xpkssN19/ZMJ7Dd4uP9b6ejmWZ1jQO +wzcG9iZej/hj2pkvme/uFRw5+7fguttK5sRpGzo9LfjvxOxjP2A7EMPeFmWI +tc9HPfijwf1gfmwIbCfsCGyC3SIf2273yAcf49vDrwf2xYdNPUnJY4txhY04 +LLjrht5zV/qtYbtn12jPYg3XuajSRRp+VlPp7br/lIJjTYhpJdaTOA30CnG6 +6Bb8M/DT+AXw7cCF4BMhnrRfyfEGYJ1swf4h9nihj9BF+JHgVPCJoG+Iv0TP +MPaJ72Q8M+eI72Su4WuCz8ZXhf8HPhu/G3sLknhfuE9iB+E/8b2wzw+/DD4l +eB18YeDRYsF/x68FxwPnj38MXhwfGf4o4gvxkaEniCtFPxADxR7ENzOei8SS +ouvABL+3Od6OOCb2I+JvYq8b6yVrJbG06HT0OdjixzbH+XEPexbxefGbfY34 +wogRZk8dcTLECLO+srYyd4mxZi6DFea1uV3s72QvHL5a+pq9j3Mz1vfEv6Ln +wSvfRBvZZ8m+OPy/rPPEfLO+Eys9tOS4L/QZ8a/oJdYxYsRZy7ALr6p4DTlI +v8/Ts17OeN/huaGTsd2xsahnpuZUTXNqhtJ1WmyrYy/znP5RZkZivA5WJ46S +WEzsZWzTG7tsn8IJwd1g294IBu9y/D2YEoxJzBoxDNwLf/uL7n2+0zF9xALP +C05m3RbrNXyFtKVPi+2sB3s5HvSBXo4B5D7i+mZE3BSxJ8SK9o17qXtIl8sd +qmd91+Xxd1NiewZbBpw+qctYHV5wYpe5QdrYL94Re5HYMGxG4s6xccFm2CJn +dtkeeVH9fbye9zWxy4n3FoJFDtdzv+/yeMUPMKHLvgC4pfFd5pdmq8xFXY4V +3T0x5gZvYw+N67JNhD10epdtImyy07psl5U7ve+OOGnspDO6bCthX57aZRsT +bguOi/jHWT0t39HTfcp3JyaQfSHEb6GHid1GdzPHidFCRofjmyHmA+zFniv6 +58+m/Un48pn/7BfBL8IaQRw3awZz8KiK35N33DbvNenyiBnbIZ5LnBjrCmsK +MePI6BZ8P8T3sP6x92XbuJf9IjtH24gBpx7mAr4o4lTQQewv2THqZP8K8Wes +L8SSs96g08jbNfKJcSP+jvG/d4vXGvrnh97OP77mtYf8+9WH+7Q4bpS+hW8l +Vhg9dVXTHONdPT2mkQ/uZm4Xfy16ub++3ZEVz4mn1TdHVDwP2C8B30AsB3Hu +9BVxgPjViMUBE0xJvI8aPQJfcmLF8/mHDvtOmEuDlX9CxWP5uoqfx7N+6vDf +yJ+aeN81uviqxPuuWcuvS7z/mbXzVt3zsdIpetxlSl8HB+ZsX4LrsD3hzz4q +mE+7ROlruvZTmaUazr+/5n12LxW8B4H9fHMKjpNnP+OLBcers58YPo55R7zM +CwXH5BCH8nzBcSbzv3/BfcKeTeIpiaUk/uWKguNeTgZ3FLxOsg8YexhbmNiW +5wqOXTmMuBHJt2W9L+/lgvfLXKT0VdagnOPXXik4Dg0/6MGBjcGExAmBFcF4 +xMqAS8GfxNDMj6XJmyPGDsJvOib6iuedFLiaeY7uJF6b57FPiXhOsD0xQ2B4 +MDB7ROfjTOJPJN+Q8Te4VPLjxFoonVywvgdTTysYa2MbsqcRGxA7i5i8vmFf +sB8SDIy/7Zj4dtgR7LfELiA+9hzJd4LrwCkF4/1xjJWC8T46b07Feg8dOSBi +aIlTJl6ZpW7/FsvgDdL9Iv+ixGcEsB5T/vaIbf6+l8s8rDHzXS9zdmMlX5D4 +rAHW+OnSbTMr3vd2TeI9/OxzuCzxWQOs2fgViGlG5+PDIF4fPcw+HDhLbNtL +Ep9ZwLrOfic4TuxZ/BbE6oNLiD3eN/Q/upM5z3xHH7Beoit+6uU950/U3PYD +4x3BwsQXgieJVQIXgglZh58uuI+JjefekbFWPxPrNbHys2PedZf+OUK/F+7t +uPVRUZ71lnz8JWC6/aOf0et7xz4J1sN1Y00kVu3ZgmPYqINnUH++t32yLb09 +10dFPnYF+azt7Al+ueJ9waOD+4TD/yCx75Cxf2UqvJV6rMMNYcODxxbEeN0S +eI/4JzDVe1nHP62fMcZDBhdlcy5PHNHrWZcfSGxbznGNP0i+u6f1KrqWGHJi +SognwW4fGjHkxG8Tm0JsCbb3kIiLxiYn/3bsgpzjdYhLAVsSgwXGm5O1vCx4 +L+d3gYsASxM7BXb9Nuu4q4MzxszI2EE/Zx2ndTw2Qt1r6qkNY1ry52Ucg0N8 +J7bJb1nLEyX/nXV8JzFFs7OOG+iZMX5GBrsOr3vNO1l1fpx1zNa2yp+Xddv2 +yjg+iXpuztgWoAzcyD09bcPf29McCjGj05W/cM5xqz9lHF9Em4hdn668P7Ou +h7b9FTKx98j3Kb1fV07lHsj4nl+zjn+/lW+e829k6pwY78szePcZfLec67kz +5298W8bfGfnWjJ//h66bMo7n/zPkIVEPzyTemjK0a7rWwHGp9fodOY8n6lk1 +ZMbhgz29dj+kNJ9zDCuxW9jbyDMk98i5f4inwvYeFG2DV2LMzMzYzhkY9e9d +N3Y5peH9DozDXHyHv6PfZoZ8S4znXNybjX4g/5Gsx1whxl6fkOkjytDft3IO +Sur18xb8m6nX1ZvxgaZePzs1N7dIzRNX8Qmm3rtzqcpsndq/16X8rVL7+S5T +/rap96Sdz32pbd/xSg9PvR4eq/SI1Ovtw+z7T42t7mXff2p7+gHJF6bGlSn+ +o9T7hx5U/kWpcdmjki9L7SN9RPKlqfHjQ5IvTo3v7iu7HbRhsuTtU+/lmyJ5 +x9T7/Z5T+l3Z2ORypTun3vt3heRhqfffMhYOjfFwZuoYEeJDNgCD6toudNG7 +Wc+jQbo2zPjvHU3v4UyU1vBzpd7zhF2CnkUP1vHjpN7zNJX+SL2mJsrfLLWv +8W3V1Ssz/9iITE/8Qan32KFXlg09eT9nQqTGufdIPjd1jNv1nHOTGkccr/To +1JzcWKVHpeYkJqSOoWE9n8bZNqnx0Q3ELaTW/TcSq5AaB93EuTupsdXtxD+k +jo25Df9tarw2o+xvz3e/quxvz3fft24MfZrG+ayy+5T+vANffOp4m5llt4n2 +PCZ5cmqe5WpiIVLjuGvL8Q6SP685rm9m03rvqax171c1cyZ3NL0WvJb1evG4 +7p2SmpcpNL1vudh0H/fV1Sd0+AtZrx38Xi2+7TVl9yN9eCcxDKljxq8jfiM1 +1ruLszFS7x24LWddh25hzw77yMAAd6vMOan3a6A/Fwr9gJ5YOGTWmWKsNcQn +sz6xNhEzzjdhLWbPATiBfQfYeNiY7E0g3hi9Qz1gxQV7BLEpsCfm79nPeW1j +XSNeGt00M2yZW2N/EXuyiXV+KfZGsJ+B/RHEsBMbT/wzsaDoPvQeMdWskbSZ +WG/GC5g5ifhmYm3mx7TlHefM/mY4i7tibwf7OtjfgS3aI2T2arO3H18He7g5 +m+m+2IfBPgrelz3lnNNEzM6PwbdsEBxVJngqbOZm9BX71OFWwG7wRoXgjuD4 +sb/h+YmBg5NtCdwF5oIDIb6e2Hs4lr0C74J1sbc7o3+wscGKlCHu/o54X/wF +3INux082PGQw3TnxjN2jDHU+UjM2+6GXeT9iQqbF+rB7jAfKUg9tI7aWWFt8 +FuB49rbBk9+X9d4h8OGade85PFFz8PCc89nLcxc6jPmjMrtmXQ/r44DIZ3/S +N8GDwTXNyroNd0b5PeK57G8mJn5O7BUgpp/YeDDhtIgDgl8AM8NrzQv+Db6L +ffzszyHOa6+67diTGsZFxD2Df0h/DjwAp0R8DbzQ9LCRaAf8KrEWcF/gXnzL +YFY40vnxHlFuz2gzsbnI2FbM3dExf38PHg8+j70X6DxsSbAEYwOunj2C/AZX +rBHtpG1gGub1g0of0tUi+eGMsRhcJtiMc0jQl9i2YMZVQneBW1cN/QO2HRi6 +66D4jisF1sgH3uC8EdYo7FDsrYlhc63U01zYykof6GnbA06Cfd+s/9jO90c9 +zP17c8Yu1PloxnsXH8t4X2AxMPCDOWPf2wMnF0J+JGOZ+8DV7VGePZr8ZqwO +CZn81aMenrtaPBc8eXfoQGTa1fL/MFX3yOe+1riXPkXm+fQ1Zehv4v/BqZQH +ww6KNZr9U0MDU81QOjJnu/iy4CfwQ2EHnxa2MLYzZfA9jdG4WCHx2npR2Ppw +6eyRRMYGXyHq7B7pflH/xTFuGDM8Z/94Fv77qTEm+U1+W6SUezxjbmS/aMPd +8Tfy2XsEXoPrwN+PrQ6XC5/B+nlz4Hr4+70ytiHgxbEvsBvWiLHKXB8S8539 +I2sGzsQugcvHTuEMBHAi3MuBoRPQDeyXAcuCRUeHzlk+ax7llOBSiD+YFvOR +fhqVdb+x7xmMAE8CNzA++AHiMOBB4JDBpKMCl7LeHhBrLrj1wMCu3WRfvpta +j+6qtDX1vvYftM4+n5rn2FPppLKxze6S21LvN11I976X2n5eWPL7qbkq9ret +FmOIvW+DYk1lv8bgWPPAp90Do/5IzHxqngO8vHBgZvBaPjAbexlWj7UW3NcS +2I+9DGvE2vkE8Q+p/cHLSl4l9VqbJ+YlNXf5OLEcqXmCJST3Tb12PkI8T2q/ +189qz4up+3Rp5a+Yeh1aRvJKqfVyD8mDU/Op4O7VA3s/SQxMah/wcqpnYGr9 ++RQxOan91j92qE9S8/O/SV4tNQ/TojJrpOZPf9K9c1LzQN+XjbmZZ2DhHoGH +u6vPP0jtZ1gr5ghrLvg3GxiY9/6t6nenvb9U3eYxGnMn6Bqbsb2SC5uF32ei +A3RtorxM6pjFjZT+XfXasKzk9tQYgvb+WnWbWVt+inmxnvL/rHrdXUvy71Xz +vhtI/qvqtWQdyX9UzV9jDy2U2iYarvTMsvEq9tCAxPYIe1OGBPZiv87QwHZL +qkwh9d479tazxx4eBpvp4rLxM/ssB8Z8Y9/bqjFX2U+0Sui1pVW+mBqjHKJ0 +xcS2Fd/wx6q/I9i/khg/8w1/qvo7Li65W+pYHGyFS8rGunzbn6v+voy1Uoy3 +R4nPSe3rfYx4ntQ+y3U6PUYZn7+z1yM1vlm30+Obsf2H8l9LjR/W7/TYYlz9 +xd6N1Bzl2p2ulzqHSn44sX90zU6Pdcb5GsT0peZMNyIGMDWvul6nxzFjeAPJ +Xam5179V/5up9eefkl9PzZ+t1en34V22kNxIzXu+ozJ3puZHHyL+J7X/uJy4 +v+irlTptW2JXrthpexhbeC32WaTm41botP2M7XyF8pZIgxdO/O357qupzGKp +92UOkrxo6nPBimFDcHbBgE7btNiz7CPEj8hewlWJwSz77LCVO23TYs8OJN6z +7LOoVum0fYttu5Seu3wa9oPye6fmfDfGt5aaRy4lnj/MHezsdVPb2m2Jxz1j +Hjt+7dS2fCHxnGG+tCaeM8yXy5Vumtr//WDNZz+9Ipvrv2rLs6nx9ZIq3z+1 +jYGtPyS1vY+tv35qex/7fs3UNv6jNZ+X9GrTsb3EEBM7whhZJvU42Uzv0is1 +Z0188dNRBvtv49Q24K/Kfzk1ZhrS6W/M990QX0dqXn5TyT1T8+mbSK6n5rtz +0l3vpMZcWclvp17HMpLfSs2t/6b6X0mN2doT6yD0D3bthqlt22JinYI+WTyx +bkIvLZZ4PjOXf2EfVmqMAF91T8aYE38EuBfsQf91RB/+Q+kFZeNLeDvibrD9 +wFd35YxN4bhuz5kbgl+CU8Ne7dv0GUb9lD6lem5PfQ7aw6whqf0NswKvgFXA +eI8E5rtPf/88sa8CXm5WzlzVXcqfkTo2CAz5QGA4MOc9ge3AmQ8FpgSX3hf4 +bxm9x/TUfpfbtdbMTP3ecIzY2PTHE2WPM8bYk2XPMebX3Kx5muGBA+E9Pwn+ +ZoPga5Zt+mymPk3/HhQ2P9gbfmduxhzPBsH5gG8WnBcChlxwbgc4atewKe7X +879IjIE+rDmG5NamsT18BDz2a2rnral9RfATg6JNvN9t8Y7090+J+7x3YuwC +bmGu75Z6vsPZgG/ANvAQ7MGDi4AvYR1iDUIH7JFaD8C1sMcJvqVXYswEXoLj +GZnaboef4FwJOAr4woNT2wxwQvum5iDg7VhjWF/gnMDHYGP4of1T20twQoxF +xuEjrCOJfVHwRuytgjuCt3w4bKK7qa9sX1yl6bPbupQe02K/BTZk/6bPiVtO +6YMqPy8xXufb7B3f+l7lv102dr5H8ltlY/anM9alcKKfxBlt05vm5L8JbAxn +xt5FeDO48S8CA7MOvFH2WsBYfrPs8czz/pExHoGj/jWw9GrBH8ErwSf1ibFF +35xTdv+Axcqp8RgYrTM1TkM3J6GfwYCV1DgQLHxu2XgY/o++gwOE9+r1/56H +3Dvjfi3Gb84CeSdjTpFveFbZ37F302fzNZr+zueX/a271R33+QkcZtNn59Wb +5g3uCTv0xbD9sPsYO2eXPX5GxVxgbvxccxzeB+jqmmMN/yn5+5rj595rGqsx +n5hHP9YcY/d+0/zrhWXbt7/XHIP4YdO21YyYh0s2ffbZUkqzdcewfsz5002f +D7gY53DXHMM3t2lO+qKybY85YUPyDn9GfN5HTdtNfHv8NdgZ55Vta2C/wzPi +T3ma9TZ1jOPzkq9N7Sd7TvI1qe2wZ8FuqX3PL0i+LrUv+VXJt6T2Hz9Vtg8M +/9feoWPQTy8Ed0D73qs5Pu1mte2tOKf7RslzdO/1qf3cz2f+xzfAJ8Bj4pN6 +qeazD65V+ddqPnfg+qbPcvk+bPwXVc8NqX3nL0u+KbV/HZvx5+BesBkZ318F +vh4b+Bu8PDbwNnNiVuj5E2JOMDeYW2PiHubT8P/3t+Exb1/SvTem9vE/A2ZJ +7ad/RfLNqeMAJsdzeD7zbFKMGWxV5jB+tNll8+lw6cuHTco44UwLcBa8E+cZ +wRnBA8FJnBscBXr+mpy5gvlnBeUdi/JxzecirtFwrBp2L35G/C/I2L/4Z7Cf +sZ1H1r2n64yG4zDhZPE/so4eFlzBfnXvWRrX8D5qzv8iXpkxhF6E4yVOiLgO +YpVPDnsaPoHzU/Fds/+fOCT2A8HHEo9JLAbxlcQkDQ7+jT6Az4BDODW4DbhB +9vgRd0scM/sHrgyOETucNR58Tpwe74VvER8aHAr8yTc1n4W9bsM+Kd4Rznn/ +uveYjW847houBv8gvM6k4HC+070opvUbjp2m//HDsj7PDb4CfgmeGr7o65rP +Gl2nYf31Tug3zrEZF7zKZzWfNTq0YX33dpR5t+a460HKf7PmmPZVG9Zh6DL4 +z+1CRqfBb3J+GXzcAXXv35ug8v+s+czuwQ3zy5z3B0+3XZxHyrmku0e/gYs4 +N+ui+Nazok/BTOgLbC/ioq/S36/Omd8Dn/47MUYFI0zLGRe8FuUoM6LuGKnT +Gz63iT2L8AdTcy4PZwieeDt4lXfjXnDFFUqvzJlj5MyxGTGWOPOJfatwG+iR +R4PnZKzNjDKcX8W+SXiRFeo+K/wfDesycAQ8P2scz2ANQne8EBzjjKiHtYBz +ttgvjv3KWVDs6cQmRlddGXWgE18PPvOZzP98xXBO8NTt0Se8M+spfQ0vhh4b +FxwS4xYOlG+MrUd6b6xZE4IfJZ/vDj+eRB2UYzx01H3m1DYxTu6O8sT/Et9E +DDDnLLI/Hvu7e/Qnuoizr9jvC9+Dzno5ON5n4z3ghuGK/lN2ezmf621Ph/n9 +RL/Dj31QNo4Bw0zJeS3vFVhianzrQt3n/mzRMAa4Ir4vHCn+GLhZ9hQgE6uA +brs29FsmMP8tobtmBv5fpO4zj/biPOm6zzDas2GsPX3B3Gdc5KzDbyIvZ+zE +/dTJN+sR+B5s/4Xe5YnUMVLY3D8mtrtXrvus+cMbLoctsIAvB/+z9s0/eyZr +HhP9Mz0wf0uUhx+GM/glMW+wUt3nyh6mOh+oOTZs6YbL3hvlH685ZmWZhv1D +nFU6KN7pxpzx3hJ1n0O0r8p8Dl5LzQ2jo+hD9NR1zO+c9dW7Zds5rH1L132W +036N/5XbK/rtpuirLyKf9Q+e8tuyucqedZ8VtWvDaxrt4T7wCM/iPni1r8se +y/OUPpk6fu7Lsm021pnF6z53aZ+G77kh3qtX3Wdp7ab8r8CSqfdtfCb5sdTc +LXb5N2Xb5rW6z37aReX/pbxHU+sE/CKcSYp/gu/B+ABbP1Vz7FyfWBfuDBtw +VsisEZ+UbU9i1/yzbLsRmxG7FPsUHAPuYFyBLxbcz9z5SOUfSOPMxMi/LXAI +cSMTY13Gvl0wxmfGOOfvt0YZxueZMR7YN4FMzMbcsu0KbAr2BOEfJcYDfwQy +focvaz4Te62G7dUHYq7NDfywIDbg6tDBv0bbwCv96v4fDAc23D5scPRC37rP +FBvd8Dy6LeZaa8wFnvtCzfuqVlCZ98q2l04OHbJV6BHK3h/ll6/7bOExKv9M +zfuq+kl+seY9RAMkP1vzvvH+DeM7+of2LlP3+Wj7N9wG3hGc/GnZthx2XC7a +D/75WPkPpcYYt0f/k88+JtZx4qm6x/cFA7xa876zlRv2v3LuEv6GfLSf+Q1m +gLNYMC7ujnvnY8TwR3BGI+cQwI9+WLbtjd3NXDoodD74Z3RgHr5zj/jW6CPG +IH6J7nWfg7ZRwzGHIyIublK0AwzTo+7z6TZuGO8wvsF1jIt8jJP5+1zyjkOG +s2Bcw9EQEw2HTYw06wcxSPhd4Hvxz7NPDT8ReAY9x76qIwL7EWsMl0bsMTG0 +8NzE8q1R9/8IOb7hc9O/jVhg9H1b6HzWOPoB/y/foRjfAkyH3gfXPRfrEvOO ++AC4okLMP+Yh+ooYTeIX2Kf8YSH2RXfz2RCcvcm+O+LqOUeXGCnO3eSMB3hu +zpLkfAh8KfhX0NP4t4gJ5BwB4iFZ3/Et4YPGrw2Wwj9OLDMcBrG76DjGHf4w +fLbgd/y2+Dr+k9jfAR5n/oPPie/GVzD/fNGcsX4m1tdRgUnAR+AJMBJ47db4 +G/vViIOEOxsT84uQCPbswIneGOUoj60Lj/h1Yi6RGPbdwnao1H1G5A4N17FP +1MN59fiF2IPDOXDsLeEsOM7TYn8OZ2rBnf+QmD9P4wxf/GKtvc2JtPV2H9wW +/fB+2XwHXAf4c3q0b2Dd/+fiqIZ/7xFt5sw/fAv4CgfV/X9Hjm64X/g7PAb7 +OvFlseeFM+3YL8R+RPZy4utg7w9c53kx3zhXH46K/SytdZ85uBn/M6TuczB3 +in6gT8HxxIHj5yF+m/9HAI81Mcbg+BiHnXWf0bmd7n2il+OGn+zlvZb4kdiD +w1ll7MnhvDLO+WNvEvGznMnHHhv2y3F+PlwXe51Wr/v/aBzX8P9SwRfH3hzO +P2OvDmegsa8W/97886tr3mMyS889qea9cHf38t7VYwLPg8GnxnjifBLOLScG +GDsBewHMhh4thC5FV7cGzrkndB74567ATfPt+Zy51Ucz3kvDGSX8jwlwwQ2B +DZDBCqzv6NAvQ4aXBR8/lrFOzsVaMyt0KnOe/S+cr0dfX6a8yTnHDdI++B04 +Es5R+zb0wE3xzLGBzcHoTwc+B5sv8FeQh88C3Eq94FtiEuGt3spY5zLfmEP4 +pb+L+tF/6EFsOjAf2A/sBPa5Lvc/LEMK/mSNZa3FPmIeMOaxuTjjGn4MXhHO +5vKcMTIcBz7kYfGutI02rhnPRfe2133e61YRK0sb4I1JP472oBtvyv0Pd5Cy +vn8b7wIXMS++xb+i/fPiXvLmxTcCd4I/weTgSvDDAsxIOjzyP44ycDZ8l0cD +Y3Dv3Iz5HGyXlzK2X3lnbIEr4r2xy+gP+gXOkPveizrpm9nRV9hh3IOdwZkF +l8e6w7h9MPe/+OcHY+yuHHX2jHqmxPOmRh3YaIz9OTH+sW3BjXDgpK/Ht5sT +cwTOinn0+oL5EuvTs/GtrwpMxX4uzidnXw1tnhPvS2zl6IgzHxjPov5mnB9G +TPuCM8opz1x8KOYX8+35eB7z8IX4PTvKw/vxfrxnz+jPyTF+SPnN3CGeiT6h +bx6OOURd9Av3Y8cxXhg/zKP74/2eifkyJeq/Jt4VPPl/kEycdA== + "]], PolygonBox[CompressedData[" +1:eJwtm3fczeUbx78yj+cczznnezzO8/D9osjeI8koSgjZhCgpUlqipSU7EZKm +WUbDLNmVpCnaew9pL9r1e39+n/64X8/9+V7XPc89rutz3U/NkRf3veioIAh6 +lg6CMvytWCUI/qkcBDsqBsEtiSAoD/4NvBU8BTw5EwSz0kFQrTAIbi8IgqvB +14Hz4Dng7rkgmMC3meQ/pr6TwReDbwK/Cz6tKAj2C1PXFursRf1Z8Hjwxckg +6Ir+ePB09D9E/8l8EFStFAQlpP5xEPxO+TKkxyk7kDJ/kq9AehI8BHyYsmWo +41nqmkc6gqyItB555QpB8GMYBGWRv4bsTlIB7QfIdyK/lfKP0N5fqSAopL0e +tPcY+F9wFnw6uBu6L9DGtehupsy35H+jzqalgmAG9X2P/FTwRObjEKkB9R+D +zkPoj0H+B/JypCcoO5hvCeR/Mb/bwbPAU9CdzXxGlL2DObgSPAlcBTwbXAH9 +P9Dfhv509E+iT6XpW036eG5Eu+hfjX4R+rPQnwS+AVwMvlW/D23v0zfKPkYd +H4M/Ir2D/F3SX+QrknYjG4bOd+S/JR1E9iXpG/Jfkz4n/wXpVfKnM97rye8j +pak7xfx2Yz7GUr4H/c3w7WLyVzH+r9A/RPoU3c9ICyj7Mmk/slfQ6UTZEehX +p69v8NMcRPcL9RHdj0k/6bdkPEfI/1ro/C98q/Pft1PVN8pfRl2bGMMPRf5N +9Ft8pTlF70vwJ1q/pIXgz8Efan7UJ/WN9D75D0i30bdXSAfo3xsJz8W54NsK +PScfgoeCbyb/Nmkn66WY3yNP6stvM19lSS9R/iXKz9NYSfvAz4M/ofxw8BzK +vkeqw3zVpP+rkZ2HTh/qyFHXK/y+Dclvov4/yVfi22ng9yg/mPIzKPsG6RTN +F+UvTXjNL0T2quaYut7hW23qr4F8Jflz+TZb7YNj5vsofrNjkIfgCcgvQj5M +vy06fwUe473M112kWuTPRv8bdMvxm31On6ahvxfdp7U/kT9B+od8JdIe+nIW +dc5G/zbK10S2lDbngG8HHw1eDv4X3bTqQH8k+r1pfzz4l8BrbBb689GvQX4x ++m8he5P0MvgV0gzktyKvTv4e5IHOF+R7qW8U9f1KPlfktXEu58FQ9O9Gvzb6 +VdF/GP06tLmYsYznYLwHWX1wHeQjGO9a8J2kY8D1kf9NXUnSU9Q3nPpnofsz ++HCh1+TNpDfAB8A3ao9pr5FeI/86aSryfeBnyF9Jmg4+AH6e/DWk/eRfIj1L +/jnS99Rfmvl+hv7dSlqQ9hrS2rlFc6C50BlF/kV9Q/42+FXyU0jPqi2dl+R3 +S0e6mm/ye0lz015TWkvTSfPSXuNa27O0J7Q3NOfk39IYNBb1UX0lzUz7TNBZ +cB3pefLPaX7I79E35nsaOiXk5zPf3zGeoxjPcsYyk9SF/KXoTEX2Pj/fzGpB +cA7zegrra0wxawc8Ffyz1jN7oT26lShTkd9mLr/BEuRrdK6in0T/FvDl4M/Q +fxr9q2j7NPRLgQfSxq3Ir0b+NfhF5D9VZd+xLsaQHgcvRf4g8gLtOeqbDb4E +/DH62/Ou6276ECRd5z0Z34G6+/StH/kVfMuSD0kdyBfyLUl/59Pf68kPJKXp +SxXaXIy8B/hTipdDfyHtzdC9Rv4D2rsdfLPWMfgTcEf00+iXpb77qe9G5P2Q +t6e/Z9HfyeAB4A7gs8E90b0347rLk2YhPxd5F+TnIx/P/JyCzvf0pwNpBvKz +kZ+MfDTyO8DzdO/qLKf9O8G3gf8GfwdeBJ4D/h38Bfg+2upLfYcCz8H11N8H +nCF/AfUvRd5L54emi28tSlhb5bjXmItm5E9FtgidX9A9TOoGvhP8B/k/SaeD +l2RcNkWakHYZ6XYh3ZWxTSFbQmWasb+P5dtG+ngB+tekPSeai+HI15DvnaXf +jHcVqSVn7GH+liKdwv06FflG/YYF/s1uTPs31m87TucZ459I3QfBzzL+eeBJ +ujd0/oPvAa8Al6a+csznYvAq2VngiuDl1N2b+g7S3zRlrk17jBrbeQWeu2UZ +yzSHCyg/mfI/6n6i/pXI+qPztcwavg0gf3/G+SqkOzLeY9pbmtOb0taR7DJw +K8Z7hL6UJXVjvPOp/3rq/173M/W30PlIHY/w7UK+3YR8EPmO6I+k/yvBj4Gr +gEvAvXV26MxO2Mbqo7MKfCd4F3gc+HrwAtr+gT5dAr4RvBD8E3g19W1Htyr1 +xdS3CtkQ2Qi0XYvUC/3XZTMlbEN1RrYA/CXlDxV47V0LnlfgNTibMdRnr7Sl +vusY3wrq30DZDDhH/QfQH5V2/d/zbQTn02Ta+CfwHa3f5hrqm1vg3+h0nYXC +CdvM66nvBfINKNuY+tqQWpF/nW+PIltOWke+UDYlsuNJrcm/KXsS2VrSM+Tr +8K0+stXYemuov7bWKulm+l+vlMtcTf8fQP9x9KuDj1Zb/D510d/Mt3HoL0P+ +MPkU8jTyh8BPgY8BHws+Ed2M1j91rqb/V6S9x7S3epFuy9gmky2mOe2r859v +dyVsg08CzwTfi+wPdK4CT9edCv4tsO1wM3hJgW2IadR1Dm0MT3qPDZBtp/IJ +25w6C64C31LgM+E++rsJWYhuEf29H/wouDI4D+4v2w39exL2AaYjH0G+M/Lz +kLfTHJN/W/YusmmkM2Vnyl5G1r7Ya+Fd+SPau9Q3VeuT9o/Q/iDZiup/wjbM +7Rn7NPJlvkPn0rTXnNZaa1I/9D/Q+BO28bV2bgEvK/AaGiz7Erw0YRtHZ+3C +jOvSmXsG8s+kn7DNItvnJvCiAttAA8EfgxcnbHNMpc9D5QcwhlGMZQr4DPCJ +4HPAU9Gfi/4K2UL8xtPIz6HPMWv5Lr69yno5zBqfzu/xCCrtwBUy9q26860b +50ESW3Oz1g/5rqQC8Ebdr+S7k1Lgbdo/5GexXt+i/PGUH0n/viJ/LmMsTdtT +qa8e9R/NtweQjwb/xXpuQ/njSOfF9rHka71EfXXJv4W8lnwx2Rrg3qQQfED7 +g/w/yNuCjyeNAf8Bbk2+FWkUeD34t5T7rL4Pp/1qGft6y/j+GvKjZUtT/2vI +Z9L/N5A3QD5IPhD6VTP2hZeiPx35K7rPNcfI30b+O/M3K2kb5jvdTeDmpfzt +Peo/lvp7yj6n/lNI5cHNqGsC+/dNyv8d2le9K2lb7IKM70bZZCejXw79Ruhf +Gtk27IH+pELbiD1Dn5k6K/VNttbYjO8K2VyB9gDlTyCNpa4u6I9Bpz39m6Dy +sg3lryfsU56IzlHoRrIXaK8J/auNfD3ysfTvffBPoW1P2fw9ZG/KpkuYI2iE +vBZ4Lfh8dE5C3g79i2krx51+A7IZrL+q8q10RoD/Rb6brt6B/m/oH1Xku6E/ +dZTS/IMnVrQPuZn5/Id2M/SxV+yk/PN8q0X+APIa4O7yTWPbUlfQxs0Ftql6 +8i2NfC/6NTRW5qcDuD3pQvAwdIcV+ayNCuxjydfapfOGfBmdmeCOpIvAnXQ/ +MJ7LaO9S+V/gKWnP7eWkjuiUQreY8mcyn1voX1DJa1hruTP6o2jvhFKuYwPy +31Pec9p7G8F/pLzHtNc6k8qSr8e3cdT3DvPzJ3XMTdonaI78Z2SHyDdCPp26 +x2V8t7ejjZfR/wX9+UmvUflO/UP7BvKh3hP/E/q3EEfSCVyQMRfQE3wyOJmx +r9Mrad/8vNC+tHz0/ch/Ds2tiBMRhyIuZTd9qkb+On6PAlID1kIR6UvG11Bz +If9Z65NUoZLvzKvof3fqK8zYd+uj+4/9945sGNlvrIk3kB8J7TtoDckX6RPa +15JPIl+oV2hfRD6RfKnTQvtW8ql+IB/kvPc0J+v47RrzrZ5+O/y7b8mXks2V +9Bl5Iu1VzJhr6iH/mf68C+4DnlDRv+WFGduC+k2117qG9u205zpQPpEx93Ma +5duCy2e81ruBB4OLM+Z2FqfMRZwVmpsQJyHfa0hoX0w+2BD0SzLmjpagP4P+ +vCZ/XvXTn2+Y38bMZx9032FuTyUlKvlOvJb5/Uz2kLgt+XPIPgLX1d5S/Tp/ +qf/X0NyW5qAF336h7L/kO1O+GfinlH/PnfhOv9D2X6Hvkv+vSfp7fsa2tXxO ++brdkF9VaJ/3CO0113lIOou6mpJ+pL4LqO8I9XUPbSPKNlSZLvQnlTGXcDr1 +HyU+A/kjFc0hHibfkTJ7kZ1fwdzWmaF9Y3Fcv9FeS9pqQRqpsYCbkm9CGh7b +Nx8U2veVj95Jex5ZbflHjHcr+j+kzMmIm2lM+gL8Be3Vj3zWnSibpsBnXlf6 +VynzH5chn11cEOlFcSV8W8d5soyxnQEupvwtyF4gPQfeJj+T9o4k7fPJ96uD +zifgh2gzQdsVkfeRLc+3Nsgujmx76ozQWfEn7bdC/gPylsguiGxbakwa26DI +ttXJ2hvgAZFt4c76rcDv5123fFD5oj/k/dvfDr5LtkZkW+wU7X30qyGfSXt/ +aa8gm8De+YU9dag8cyE7TD520j68fPnS4M6Bv7VG/xrScSmfAToLPtf9nbRP +Kd9SNrRs6ZboHMfcbWB8G9Lmah7m2xWUb5HyHau7tl9kW7uTuA7weN1pKd+p +uls3UN8+6mvItybUdz3yE1LeI9orm5C/jLwp31ogT9OfEYF/k7YaO3hc4D62 +i2xjytZsg/4J6I+mbw35PevSfgX2/9DIvlEX8AHq/zbvuZIPLV96A2VWUN9Q +3T/oVouclw8uX7wEPCRpG1e2bgweljRHIq5kI+XvC/ytOrLVsh9oqzxpDfkH +dL6ST5AeJD8lsu14HPhJ8Eqtd/JlSavI3xTZlmwtPg/8kNYc+QLSw+QnR/b9 +WoEfB9+nO5V8adL95POR17Zsbtne6+XjBh5DVWTFjP8a+ebiRsAPovMkujWo +8xh0D+UtE+cg7mF0ZN9FnLe474f59jSyWnyrI/8QvBWcB1cFnxPZN5JNI9tm +DfKdyKvxrTryn+TPypbXfYjuiMi+pu5s3d2v57135GPL115Heo58XZ15lO8T +2bc6SfcL+jvZ+6My9gUe0/4HNwp9FumMSlZnrSheAl6BflTkO0d3jdbIj0Xm +dMTliEMU1/51xtyqOPdQ/klo7lwcZEX21xjKp1lbWdLZOfvI8o27gkfmzDmJ +a+oOLpQ/EZrbFgdbA/lFyCcXOEZTGfm00Ny+ON58kTlQcZ/Hggfl7DPKVxTH +3wX5H2lzqRv4ls2ZIxY3LE75jJw5VnGr8vnOAidy7ov6PIJ8hZz7Kk5sPPlf +0+bCGpI2cgd04m990g7y7XLmgMX9yqfM0P6U0LEBccjDc+YExQXKp+2QM+cs +rlk+WC5nDlfcrWIMJ+bMQYt7lo8kzkncU3XOq+3kz8w5pqFYhji2mbR3juyn +QscAUuDJoWMn4qQLxF+E5kbFQVeRfxw6ViGO+XHFDzLm1raC+7P+qoBvpP57 +WEdPyp7KmLvaLs6W+/xF8V/0qTZj6ot+Efg69O9Gf6i45rRjW+KkngKPzth3 +3yl+mfIvgf9G3ojyvSlfGXyNzm/KDwTnM47t3QueyHiPpG2bLQLfRPnnkX8D +jsWvUH+90La8bPIbI3OLLWlrl2xd5JNCc9XieP+m/NWhuV/FCBPIbwjNfcsH +LS/+JzR3r5jXevTX0V571spq6v0RfDnyLciypIXgMzO2zU+VHQK+JjR3rRhX +Weq7LjQXrRjl78ivDB2LUEzsT/BVoblvxdR+BV8B3kW+Muln8ATwNu010mHw +RPAO+S8616j/2tDcunyYGyJzrYf/4wo7gf9J2iaQbbBW/rPWCWkd+dMic30d +ZH/q/OR8KWJdleNbd2SJYufFCYob7BmZy+4o3y62jSRbqZ/6Jt8yMhctG0y2 +mGwY2TJ9NRbkrSJzg43BW3T2F5vbu1+/t85j9lQxv2UN1vsOrf3IXK5sPNl6 +LSJzf40o/xg4FsfLeXmU7jBkBdRXIWXOXdz7rqret+1l36H/CemMQnNW4q7k +M8l3GqK5LLbPJd9LOqXAc6njSur6kjafQ//T2Lri7MTdNYvMpTbk2+bYY9BY +yujOLzaHIC5hoH5r9E+NzLWK0xS3KR9YvvBg5P/mzRGIKxigtZI3hyAuYZDW +bt42omzF/lorsoWqOjbQAPwossq0mU2ZoxJX1SRyLEE+mHyxB5Hfy3wNEF+L +LB05L05e3HwlcP+kOXtx91nwwKQ5VXGrOfCgpDkdcTsPU9+SwN8qi/8D3xO4 +jkLddfSxL/mYPl5H/iFxzIHrDJHX4Fs/cafyxWWrReb+2zGevfS3CDw4aU5J +3NJayi8N/K2K1lrsuasrfoPyY5F3Kseeor6KilVEjtWcgM7T4oaQV0w5hqJY +imxG2Y7aI98rfhE5ltAC/Z367SLHdpqAt8q3p3yllDlTcaetwM3Br4IfAbeP +HGtojv4O/XaRYyVNwdvA0yPHLtqC98gXpXwyZU5U3Oi0yFzh8cif0tqIHFtp +Bt4OvhudO9ANdBbR3+rs/xmhY8nyEetFji3JZ5Hv8kHstVSb+ZmOftli7xVx +/uL+f8o7lqA6VffUyFxkG8rspmyNYnMvslFkq0wRP0VdJXwbjm5N5HHKnK+4 +36nIjynlbyORvxt776uMys4nzZEtyf5+jP1drdhchGwk2UqbqnqtdPrvro2K +3ZY4d3Hve7QHk46hKZZ2E7hmKX+rK38F3AD8Ebi21hfpzKRjSootzZF/j/wr +nUHI1ojDDaxTE7xe/Ar9LSRtEN8hfoZ8hrSJ/GH6NLaCfZ7d1PVC3nUpZqfY +3ZdV/k9xBd/oN6e+bXn3RTE6xeqez5sL0Zmis+WZvH01xWgUq9mXd1nFaBSr +eTlvW1AxD8U+qlB5LmXOWdyz3qDoLUo32cOK9SMvSjnmodhH3WL7irJJZZsq +FnOyYtiFjsnUQ35syhy/uH5xzuKe5XN0QLaH8TZlvOP4toH8RuT7E/ZZmhd7 +TWltqY6xjLcR3+qnHHNQ7OH0yLHKE2nvefo6Q3dEKetchGya+FTw0eLHwR/G +PiulI92GxeaWZOPK1v0o9llYR7ZP3kn5xuhcJv+/2Hn1UX2tVey3KLLhZcs3 +iBwLq08dj8g+LvFdc47sxRK/kdBbia7av9S9jW8x8pHI15J/P/bZqz6r77WL +3XfFMBTL0Bmgs0A+X2tk78W+G7UntDdejl231qDW4iuxfzvdubp7mxabW5UP +KF9QMRjFYuSDtkV2RugYh2IbemNRovhG6LcwehOwj9/30Yxt2++0z1mP65Hf +p/tVZyZ4jewN8GU6s8GrQvv2lyTtA8gX0Ji3Mt4tJd6rF5VmbMqjvy70240r +0a8GXhv6LcoV4BLwQ6HflkwAX0ZfJqZtq0zDRipG/mDotyaXy+cCPxz6rc1E +cB78QGguYrw4bPBK8CKdV+IdGF+zrG1T2ZCzwc2zthXLi5OQP5A11ysOeB74 +OPDylDm6ReCTsuaOxTEvBHfM+i2U3oDdAe6UdSxWMbwi2l8te4z8peJLkLfO +mqtXTKGd7LWcbT/N2y3kW2TNlYmTnwtulTVXLw5/Frhp1raybOiZ4CZZ276y +aeeAW2bNnYkzu03+UtaxCb2RqkF/ltKfBQmPqSZ4GXg5eEXKnJm4M9l4n7Ke +QuS7c459KEb6EHir/IGE3+DkwHty5i4Vo2vE77UrNJf4LLgQ+TaNuaLfjDVG +/nho7vVFcAPwjtCxmSfAWfSfyDlWoZh2Q+Q7Q3OLe8CVkG/J2fZXzKUJ8idC +c7cHwGnkO3KOZYizz4B35cwdivMXZyjuUGfy14zvAcqvqezYuGKS8h0vS9s2 +lw+5lPL3Uf8V8peRLwAvB/cFdwWvVWyA8gdTtvE3V7UtsqQM+0h3EforxA+i +fzXysuKrK/utmnweccTiinVnHKQ/ZRSPqOy3ePJpHtR4Kf9awm+2LqG9y9O2 +5afQvweQPxZ67HpztkD+YtZvrfSmbwa4XdZvo/SGbD64Tda/tTjeMaHfTOmt +1KJCvyUbHTqvN2WjQnPu4toXgC+n/SvT9i1m0H458dWV/fZRPl+M/OnQbx+1 +52bLdwq99zRnS/SWLuu9qxip3qqdrXhRod+sLdNvlfVeVoyyOvXtDf3WTmfQ +IvLPhP4tNKfyXRel3Tf5sBH6e0K/9VqI/Gbyz5LuTnrN9wsdE1UsdHKh3xIN +4NvUQr8pmqu3bOIskz7j5sg30nmT9B7W26e+ocvqDdRi+fpZnzWK2Q4MHTNW +rFh1jgwds1SsUmO8XXWFPku15/YU2ceVbyufbXeRfWb5yvLRdhWZgxH3Ip/x +iSL73PK15dPdq7Mj67NYMdql4iKyPjsVU10O7pH12aoY7Xq97QC3S3nNhtXN +UcjH+Sd2TFKxSXFsb+Ydc1LsSRzY/rxjiootilN7FXyX7IGsY/N6E5Ej/0za +3KjaaMbvsTs0V6wzYxnr5f7Qv41+kxzyp0LHQrTHplPfCVnvFb35a4r8ydDc +uPbAncg7Z/1WQ28U6iPfHjrWsENnPPIuWZ+1iumLAxYXrBhbu9hvIVajszLl +NxGyKWRbKCbVhvyllF2dsa8unRXo9sz6rlIM+27wKVnfdXrzsVLvUXLmFsSR +y6eVb6uY13GxOTRxaXrjeHxsTlncst7gto/tM8t3Vky3dWwOVVyqYmodYnO8 +4nr1hrdtbA5bXPbf8klixzQU2xCH+WHeMVnFZsWJvqu3FYxlW+izagv9nRSZ +yxWnKm61XuzYtDhLcZdR7NiWOHhx8VdG5qbF4YrLvTwydyzOU9znmMhcpXw4 ++XKXROaeFQNQLOCpvGMfsnll+xbHjj2KIxdXvpd0IbLRpJ+RXxiZi5SPJl9N +NqNsx1F660y+ZuxYpzhrcde1Y8dKxVmLux4WmSuVDylfciM2Rwn2RzPKr8rb +BpEtUo1vm8mvI+XJ10M+T/edOPGU39DoLU3LYse2xZmLO+8a2TeXjyBf4dES +16V4wHLxGZG5WPnI8pVHReZ+5bPKd83EfnsgjlZcbSr22wPZ/LL9J+XN1YnD +EJdROfZbBMU8FPuQDSlbUn1eX2KbU7anxriJ/K6851Jv/v7/9q/IMV3FcmWz +N875DbXeTusNUcuc38Dr7bveZLTJ+U2F3lLozUvrnN9w6+223pA0zznmrVi3 +3jTVytlGk22mN+7H5nxH6G7Qm/m2Ob9h1dtVvak5Ouc7THeX3kTWzfmNt952 +K6bdMOc3+Hp7rzdJ9XN+M6634npDIx9dvrp85onM7dgix6gVm9Yb9e1Vza3K +R5SvWEH8SwVzCOISdCfrbp7At3LIGsV+iywOSFzQtXmvtQ/FKSj2FPttxszA +saCmOb/51FtPvfEqTx1Ly7iNBPmTI/vW8inlW07jbjyQsW0pG6hsNbctjkFc +w9+xY42KIVeq7jWqtSqf6amqXpNam3pD2LzEb0/qhuau9QZFnIS4CcX8x8Xm +kMQl6c3AwNgxEcVGxDn0jRwDUSxEHEavyDENxTbEefWIHFNRbEWcQu/Ia1pr +uxPzXIX+vUXbh0iv6n4nHWFsX4WOVd0mG441+q7i1eRXBeYoxFXozcYFul+Q +HSQtlb1MOkj5r8X/U/4G8JvyRWTP6/5OmsMRl6M3ChfHfos9JuO3rnqTvZr2 +Hg1ta+oN+v3gjaHvAt3ZK8GbQtuWutNLg/fmHNvWm/AUeHPOXLTeqCfBj+TM +DetN+Xbwe6H70qiU33q9lLNvJB9plfRD26aKga5RfaFtW72Rv0/xvNBnr2Kg +4hDFJepNfT/yBdXMNWkNaS1tZmz7c/+91UN/J+XfDz3XTRRP4O55O/TcrUVn +L/J3Qr9F0hyKcxH3ojdIo2PHwBQL0xuic2NzQuKG9Mbo/NgxLsW6FLM+O3ZM +TLExxZTPic2BiwtXTHlEbA5LXJbeAJ0Rm9MQtyHOYEhkTlXcqt4gDYrNgYgL +EecwODJnK+5Wb6AGx/ah5UsrBt0kNgcpLlL/IzMgNucl7ksx/CGxOSxxWYrx +D43NsYlr05uAM8nvYT4+Yz5uT3qN/sp8fh56Lerbl+CPQv+WkzWH6H8Qeu3p +jfxrihWRliS9hsXBiYvTm45hmj/0Pw291rVGD1HfJ6F/mylJc+LixsWhDmS8 +u9H/OLRMa14xRsUadcf0R/4k8g9D90VtNozMFYtTErf0aN53vd746K3P/wCA +KEUi + "]]}]}, + {RGBColor[0.825459625, 0.82918175, 0.8009545625000001], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNlktslFUYho8UShmmY2fK1Ok/03KTsgKDbjRG0OhGl8aYaFKtLlyYiMZg +W4Fi2y0SU5K21AULTVTKxbYIomCUXugFNsTghYSFO10RNSEx1sT34f0ILE7O +5T/nu7zvd/k3vv7287tXpJRuaNRpNJZSGi1rn0/p/XUpLTSl9GxjSpdzKV3R +mNGdce136XuHxjbd36t76xtS+qfJe9bTEjqv+yXNPQ1+26251mBZyOmOdbPu +dLakNKv31/LWt2ltSr/Ueb9VY2PsmZE5WU2pqvezmn+us64mnS+vSqlfd16J +s4WwYUnzokbHag/WvNsue/fJ/n/1bqAiXZJ5TjLH9H1Aco5oPqP9Zp2frVoe +diATPQOh69c6y8MG3vCtUfvVNfu/VvNnkj+n9a32lL6XrG1a/6D5jTUp7dbo +1P1FYbBH9jwnDL7K5KNsPaf5zdaUjq5MaZXk9En+AY2X70uprcFrcN2kMaB1 +UTb8VC/+tB7SOlfzW2Sg/yGN69J1XDyfLBrf3pzvnxEvuYL53xkcM8MR2HN3 +g+YbTcYO3D6XXxf1fSozJ/slJ9N8oWr7pjQfrNnPD3S3rd5r/J3Qmwfk4ynN +49I7k7fP+3KWczbZF/x4Sf5ul7wtq433pOy/us72juR8Bv7o5n1e+8Mr7CuY +4N/e8BG8OsKvxYgT+GO9FBwTC8QT/E5U/W6/7F+S34+DnfTOa/1Y2bZPyodW +2fad5id0tqhvJ3T+cGbbhyrWjx34BG/gA4+nAodvM/u9LzBcX3GuNATvXXnb +/laD4xibP1Q8dUrenlbj93vBd8HsUN66P86Zd3yZqZoveNsccXNVOqarvnNR +84+yf1b2f1FwbBKr8HW4YnvPx92nQybf4QYOpvP2Bb3UATC5HR8RD6cjjxYD +57nMnM5GvOMDOpC9NeTfqtnfed25KZv+KDgOz8YbcqUt6gt4UT+uRd24kJk7 +OGS/IWpIj/D6T3lxsN3cYO+XmevXUtQKbOmLXCP2b4bersgN9JHvYEiMPdjm +mO2rWAay8HEwZ6zJw0/aHRdnMmN1rGC8DgTXcE4MkEvI6q+Ynw0V+/1bo20g +L8nTtVF/tkQ8fJ3ZXriC/+mIgYuRG+QId4kh7r9zv/3Bz4Go0/hyOuL5TlzD +JTiO5sw3OvGbOod99I1CyTZdyowfvCH7WKPxAg/qO5iA/fXIUWpkd+DD3fHG +u/nJd+xBLnURf7nbHOfU4P6o1ZejFt7uKfXWwfunmhVH6jHHC8YVHMDjiGzu +KjpedgaWvKW/UVc4o3f13BNXd3oRNRNMiCXq4PJKv+cM2U1Rc3ojF+ENPljX +1xwP9Ja5kvONXCMv5qMW4Stykfln9Dv63qTsnSqHjfJrpOy4OJ+5ruzQfJKa +VHa80ldPlJ0Pg8ExvO26p8bT58fK5uZE0b2BeD+u9emy+fhL60Nl+0C9Hc65 +JnD2d9Hnw1G3qL1rovfRA4nXocCKuvhqi3Pgm8x19NN29wXk8fa1orkBb+oa +XL4oOR/pbE2zaxycU5+JP2ppX3A/H7yA/47A5JHMOBIL8Puo5FwqOfeIkbno +id2t5vGFmv8BqJvUH76NRW/FxuHoL8wjubt9ZzjWxORYvIXnwcCcGFwoOQ55 +Nxp9i1qKrutRS0cD29GQz3pcve7dkvMD/ieK5hB7wQff0Hkk7LwS+dAd/2O9 +0fuGYg0XTwrLZ1pcA7rj/+Fo1ERw6W213cgEZ3BB33uttncsbIZf4hvZ4Lwc +eYe8wZD5P0iAX5Q= + "]], PolygonBox[CompressedData[" +1:eJwlk0tszFEUxj/STjvtzJiZdrTz/0/blNAVEhZeEaQ2LCUkJI2SsFMiqFc9 +1l47iY14xKPzoDU6La3QN3ZdsOvCjpV4RCIq8Ts5i5t8957Xd75zbvuhY7t7 +Fkvq5FRxngfSOA/ZGqkMvtQsHYlKLRHpcVbak5P+VkvnG6V0m3SKt4UqfzNb +tEG6kZH66qQvCel14LmGyD0GPpyU8sT2x6XumLRjqb8ZPr5EOoltPun5duFT +JtdgStqKPc/9RSj1RJ3TVerNpKX1+DRRo5969bz11kp34FQHvtDstc/B5xf3 +dXD4RC/7FklrwSVyl4j/RmwHNQrUvplx7pPch/Apgguce63SAfhub/C7vU9R +/wOnBH7CGSDfIPF1CedsNa221RwlV578GzLOdQL7O2I3cQ9rPOdI4Hg//IbB +rwLvzXLfpf6zwLnb2wD4NrEHqbmsXtqJPnmrDb+vCe9pEp+j6LEC/2nwU/T9 +gf91an/G/0Grc99MXIx59qFXBb1CYr6j9caMa2Ja5PGrxb8N20ryzZDvZ8p7 +sl4sZ3XOtV+OT8R6p97ZRudmcd34d6Hhx5hz/k2+ad7/EdPLLs3hG0eT+Zhr +OAKHDuydnGFwO/wWqv3tCjiB7/uk74rF2O5ta/Bdsh20GItdw5kAPyRmNXgV +5w332cB7MY1MK9PYtDZNXnKfClw7i7FY2wGbk82ogq0Seq9zaHa52Wc5m3at +zKeMvcVyY7+IvTbn2HY0Cn4bOhfbadvtIvHFlO+iabQXn66I/7HT6NPEjLZk +fPfuwyXO/U/StbXZ2F+YTnsPtiO3Mj5zm7XtxFTos7U/Pgk+gW8h5X/L/uSZ +rM/Cal4j33jo2tmMHsF/NPTdtJ7GwP8B7RiduQ== + "]]}]}, + {RGBColor[0.9129594355950474, 0.916160239761895, 0.8776958675986122], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJw1U8FqU1EUnGjBNMmLeclLSZpQDGjF+iuiIFqLCIJ1a11pIjZE26UuWkGp +O9GmrtwVFBVa66u6cCV+gS4EbQtx4cIqOOPcLi7v3nPumTMz577WpaunZ/YB +uMi1n2swDHyNgCNZYLMArOeBn4xtNIBxxp7zuzkKHD4AvOW3XXT+KEFazB/i +Gud+uuB9JQN8KxpT2LdrwCf2adWMJcwXDWMMAs474j7g/ewYsFgFzsXAbs5L +93aHgC1ibnOt5d3rS+R+Wr2c+94oAx8S4EfkNct7JxjfKZqT+onzrZzrpPky +7yQZ694Jd/o1a0rJa63hvWLqo9qUerqs22aPMxn7In/ej7p+Pmdd8kD46rNK +TafIb4P7j+R4s+z6s03WM3atTp0l+sXcEuNp1nelXT3FW32lWx7s8Rd3+btS +c883wWPlFBcXnZV7Qm+Xid8nxkgF+MzzoGiP5JU8FN9u8ER1qhfWBda9jp1v +k3uH63tkbr3g5yvmX8aez/W6NUw2rXs+sR7dE395qtnKd3mm/tOBgzRuhVm3 +iXPlIPBrzPPvB/1pwZ4L5/wI8Kzk9/swCm9HvrHn8bLf1kzZ+lX/l3e7iX1f +ZmwxNo+F2GftZ5n/UzKevveq3mfp21zV7+kYMRe4v8/4VGJcYSo2UXb8TtOz +W+VcHjGer1jb07rn2at53r9z1nOSdXOJz9IoDMWlSfrkmbT2qz7veSEf5O9/ +/UOem3zV7ORBJ7EPwlsKmHfpaYdcOnXj6t9Wrb6dsJ+MzUl8NAfl9JamYv+r +4qX3ov9Ab0Y6pXe9Ya/TwHGFdx9X/Y/9A1N7sVc= + "]], PolygonBox[CompressedData[" +1:eJwlkksrxGEUxh9SJsyfGTMyMyIl4rNYiSFZITszG5cRcluyQBE7hJWysRDK +bRjFykdgodzKxsJs/E5nceq8z3Ouz3mbB7NdmVJJHVgZthuXMlHpICx9BdJv +ozRaLbURdFgvpRukfEgqEjyWkC4iUrZGmq2ShrF18vvAihXSNjXO8EfgX/CH +4A/gV8GuKqU73nu8Q7XSG72+sUXexzHpNezYVUpqpl8r/S/xo03Uh78F62GW +U7BW/GdmX2C+B7ghbIbaH9TopVd/nfeymWbhTsBuQl7jlxp/4JvE3ifpDz8f +87fhBbCWcvctNp/0WQy7S/puO8z8GfiOpsUT+V9h12QaLR95d5c4toyek4Fr +OpnwXQdirp3tXFnrNzDtrWaO/AJ8J/nv8N0NPrvdYIL8DvgiPbfgNrA5NMjL +NVsmNkdMLvCe1tu0OY/4LUwjqz0Vda2sh93Ubms5K8Tvwx9RP1/lf8J2qWPG +n8B3Mq496r0t5jrlf8VucoM/nnCdbWabfY3eh3G/tf2BBeqlI66v7bBkt4v5 +37GcUKPfIgcW5vb/PzBvVQ== + "]]}]}}, {{}, {}, + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{6177, 6273, 7096, 7095, 7106, 7105, 6310, 7926, 6519, + 7819, 6520, 7820, 6516, 7254, 6518, 7252, 6517, 7253, 7954}], + LineBox[{6567, 6271, 7307, 7092, 7104, 7103, 6309, 6852, 6853, + 6851, 6855, 7414, 6854, 7688, 7949}]}, + "0.923`"], + Annotation[#, 0.923, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{6176, 6272, 7094, 7093, 7174, 7173, 6506, 7178, 7179, + 7175, 7177, 7176, 6175, 6270, 7091, 7090, 7100, 7099, 6290, 6839, + 6840, 6836, 6838, 7841, 6837, 7842, 7959}], + LineBox[{7460, 6269, 7153, 7089, 7108, 7107, 6311, 6834, 6835, + 6833, 6845, 6844, 7088, 6268, 7412, 6843, 6705, 6707, 6706, 6289, + 6831, 6832, 6830, 6842, 7840, 6841, 7843, 7948}]}, + "0.8520000000000001`"], + Annotation[#, 0.8520000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV09lTzXEcxvGvMbZkiaIQmsEgWyihss1QthYliRt/AP+Da8zYl7HLvoVQ +st7YKVuLfd+3ibvGjNfv4jnveT7Pcz5zzvn8TsqyFUXL24QQOni5nhjCn74h +XMYWvIJ/8Wz/EEroGl+MV/EhrsTZySF0SgphZ78QYnAOf1OWQZXyXIylLvS5 +dwhj5PfM1+rfxzT+nGwh1fOPsA4rcD/NlXe2d5d+LM7jb5lPoFN6edid4qjF +/rHyB+br9B/iOP68rJQe84/xER7AgzRf3sXe3fpdMZ+/bZ5Jp6Pvh/GUQK32 +j5c/MV+v34DpfLVsETXxT7ARD+FhKpB3s3ePfncs5O+YT6QzenMwkZKoLZ8h +b8YN+k9xAl8jK6PnfAM+wyN4lIrkcfbu1e+BC/i75pOoSm8u9qNkiuEz5S9w +o/5LnMhfkC2m13wjvsJjeJyK5T3t3acfjyXR/cwn01m9eTiQUqI78JPkb3CT +/luczNfKyuk934Tv8ASejO4uT7C3Qr8XlvL3zbPonN58HESDoxvwWfIPuFn/ +I2bzF2VLoueLb8ZPWBk9H9Fd5L3t3a+fiGV8nXk2ndfLx6E0LLoBnyP/glv0 +v+IU/pJsKX3nn+I3PB3dL/rd5En2HtDvg+V8vXkOVesV4HBKje7AT5X/wK36 +P3EaP042A3/z28x/4XR+VPRevMGvMb+JqXyV+Wiq4QtxBI2k/vxMeTufY7t+ +e5zFp8vysCO/w7wD5vKr9QdH98dV5rU4hE/Tv+R/34r/qOuAEP4DiYic6Q== + + "]], LineBox[CompressedData[" +1:eJwV00VbVVEYhuGFOtCJHaCEWICB3a2oc5wqcWhQsLuQxpz7A1RAyhyYCHoZ +E8e2/gK7496D7zzreb/3rME++6TGqrIr40IIA30MSg4hLSmEnvgQvowL4T5+ +xVnyDHkfP5UYQi+m8xrMwg94Tv4R1/F5+scwLyGEavlg5yGmhW/CcXhenoib ++Ur9XEzmF+RJmMNr3ffc7hPm4GfMxdum2j5f77j+UOdhppXnYQpelI/HfL5K +vwAn8BZ5KsZ4nfte2H3BPPyK+XjHHLeP6dXoD3ceYdp4IU7EVvkkLOKr9Utw +Cm+TT8ZiXu++l3bfMIbfsQDvmhr7Ar1a/ZHOo8wlXoppeEmejmV8jX4FTuXt +8gws5w3ue2X3AwvxJxbhPVNrX6hXpz/aeYxp51twGnbIp+NWvla/CjN5p3wG +VvJG9722+4XF+BtLsMfU2Rfp1evHOyeYDr4NZ2KXfBZu51n6O3EO75bPxh28 +yX1v7P5gKf7FMrxv6u2L9Rr0x0bvjOnku3AuXpbPw918nf5eXMCvyOfjHt7s +vrd2/7Acg7wCe02DfQlvjN5D5yTTxffhQrwqX4T7+Xr9g7iEX5MvxgP8hHvf +2cVFzxX7Rc8T+0yjfSlv0k+O3knTzQ/hUrwuX4aH+Qb9o7iC35AvxyP8pPvf +2/WPfg8cgFX4wDTZl/Hm6D13TjUX+XR85Htn5I9xRvTc9WfiU35W/gQz+Wl8 +ZncTs/EW/sCN5mH0P/Pf/x39LmZESgj/AXHOl9w= + "]]}, + "0.7810000000000001`"], + Annotation[#, 0.7810000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVz7lOQlEYReGf2hcQBY2JIOIVcUj0OUysTaiw0cIRLK0dCiucFRyeS0vF +qdBY+Z1i5e691znJuWONjeX1XESsoDgY0RmKOMMkSsMRr4WITXtZPrddoIoJ +/Y3b4irype0KU+mu3ue2uap8bbtBlrz+zu1wmXxru8N0Qv/gdrma3LX1UMOM +/sntcXX53vaQdszqX1yLm5MfbU+oY17/5trcgtwp+j+M28ooYTUf8YwXnKKH +fee7zi3yS+int6W344T7GYn4xSGOcYQD95r8n7zmOzAa8Q+gaDRV + "]], LineBox[CompressedData[" +1:eJwV0bsvnXEcBvAvidtkadyr6USsqmhMxGqwWKWbhcRs8g80YSEhIanE7TDX +4BbqcjicgxZ1v6SLxWBg8jnDJ7+c53ny5n3P7/P3vs7enIgY4KkiopXCjxFt +zufyiNeqiDc22KSuLOJ/acRQZcQwDTTylRndpvM3I4xSL3u2T3neAfukOWRW +t2WzzRjjtMje7I/0x2T4wwlzuh2bXSaYpF2Wy6n+jL/845x5edJmj59M0SEr +4lJ/xQU3XJOQ79ukmM5+D12yYu7099zyyAML8gObQ+ZJ0C37kH1P/S7b7JFk +UZ62ybDAIj2yMlb0qyyzzhrT8i/OBmqopV9WyVz2+7L/IXnuK58X95Pw+4f+ +l2cv0cQ3mhl0n/nVEQWUfIp4BxUvWoQ= + "]]}, + "0.7100000000000001`"], + Annotation[#, 0.7100000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVzUkyAwEUx+G/KlxB0hm7E27ALWzsWVgaEm6BMse4lotRZQw79r5efJX3 +3q+7U26PN0ZzSdYpGslpkZzRZ6mVvLaTHfeG+dztgpKm/U3b1QrzpdsVFS37 +u7antc3XbhMGdOwf2r7WNd+43TKkZ//URlrffOd2z3L9n/YvbaxV5ge3R1bq +79pn2oE2rFtHo3QbULHZTJ55YcKUQ88/eW5VX2Pm3R++mWq/3eSPI044Zst7 +834XWOwl/6a4K9Q= + "]], LineBox[CompressedData[" +1:eJwVzrsuRFEUBuB15kwxCqNAxl00RKvVkChHYSQjkkncLyGhYFxKtbj1QqHj +Cei8gEHj8gAahWlH5VN82ev858/ae2Bxu7SVRESF766IMcb56YyoM9wR8VWI +KMomach+GZHX5WXZDAkZRuUN+bx5gRxNTMgTNsyb5Gn53ynLsWtu7o2oOttI +zVmeeiJqlHXy7Jn3qXLIAbPekzqz3HZH3DGn20rNv2cueeWFCqc6Z5xwwTnH +8qu+iGsGGWLdjgJv3vLOozs+nR/s6Jd8TzPFg+yeG/1l+1ZYYo1VjvQzdqa0 +90f8ATIYMzg= + "]]}, + "0.639`"], + Annotation[#, 0.639, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{6166, 6784, 6785, 6682, 6923, 7391, 6241, 6924, 6786, + 6787, 6683, 6925, 7392, 6242, 6926, 6788, 6789, 6684, 6927, 7393, + 6243, 6928, 6790, 6791, 6685, 6929, 7394, 6244, 6930, 6792, 6793, + 6686, 6931, 7395, 6245, 6932, 6794, 6795, 6687, 6933, 7396, 6246, + 6934, 7574, 7575, 7198, 7200, 7199, 6490, 6623, 6624, 6546, 6563, + 6247, 7586, 7219, 7220, 7144, 7146, 7145, 6306, 7922, 7923, 7813, + 7815, 7814, 6491, 7680, 7681, 7941}], LineBox[CompressedData[" +1:eJwVzrsuhFEUBeA1CtOYRiTuBI1Wq6DQIYgYUc2gonEZHkDp9gYoNDwCpd6M +xuUNNBKUpjI+xZe9z/pXzvlHNneXdwpJVvnoS6aY5rM3+WK8J3nvTmZlc/zI +mkzIv+UrsjItWcxJeVNesVdpp8iMPGzZOwaTbbNEwd5GfSBpMK9TZN9eY49D +Dih7o2C2cdOf3FLWLfHoW50LnmiwxonOKcecc/Z/ll8OJVeMMkbFHZ08+5cX +HrzxZr5S0190XmKBe9kd1/pV961TYZMNjvR/fW/RNZz8AUTKMyc= + "]]}, + "0.5680000000000001`"], + Annotation[#, 0.5680000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{6161, 6774, 6775, 6677, 6913, 7386, 6232, 6914, 6776, + 6777, 6678, 6915, 7387, 6233, 6916, 6778, 6779, 6679, 6917, 7388, + 6234, 6918, 6780, 6781, 6680, 6919, 7389, 6235, 6920, 6782, 6783, + 6681, 6921, 7390, 6236, 6922, 7572, 7573, 7195, 7197, 7196, 6486, + 6621, 6622, 6545, 6562, 6237, 7585, 7217, 7218, 7141, 7143, 7142, + 6304, 7920, 7921, 7810, 7812, 7811, 6487, 7676, 7677, 7296, + 7963}], LineBox[CompressedData[" +1:eJwVzr0uw1EYB+DXwIDdV7UxWbtKWDqR1tCPBe1iLW1cgUERt1CDpK6hViOt +obgGi2hsJSr8PYYn7zm/88s5Z2W/WWpMRESR18WIdTZ4W4gYsjof8TIXsSnb +YiT7ICt/l5dkZX5kv6zJP+VV2cxyRM2cJEl5wL5vPpDTS/QOrA+p06RB0T3J +kr51x7wmrz/FnbN72vTpUaGlc8oJ55xx8d9LR1ySJkPFHbMM/OWRW288m08c +6Rfst8lzI+typb/rvj12qFHlWH/s/JsvpjMRf8FBNWM= + "]]}, + "0.49700000000000005`"], + Annotation[#, 0.49700000000000005`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{6155, 6764, 6765, 6672, 6905, 7382, 6223, 6906, 6766, + 6767, 6673, 6907, 7383, 6224, 6908, 6768, 6769, 6674, 6909, 7384, + 6225, 6910, 6770, 6771, 6675, 6911, 7385, 6226, 6912, 7570, 7571, + 7192, 7194, 7193, 6482, 6619, 6620, 6544, 6561, 6227, 7584, 7215, + 7216, 7138, 7140, 7139, 6302, 7918, 7919, 7807, 7809, 7808, 6483, + 7671, 7672, 7295, 7962}], + LineBox[{6888, 6714, 6715, 6633, 6634, 6182, 6115, 6726, 6727, + 6643, 6644, 6191, 6125, 6736, 7434, 6737, 6652, 7421, 7422, 7368, + 7369, 6200, 6134, 7271, 7272, 7270, 7274, 7273, 6477, 7165, 7166, + 7070, 7071, 6209, 6142, 6595, 6596, 6553, 6598, 6597, 6480, 7039, + 7040, 7038, 7042, 7041, 6536, 7832, 7833, 7706, 7707, 6218, 6149, + 7627, 7628, 7358, 7630, 7629, 6512, 7241, 7242, 7240, 7604, 7603, + 6301, 6997, 6998, 6996, 7000, 6999, 6526, 7669, 7670, 7668, + 7945}]}, + "0.42600000000000005`"], + Annotation[#, 0.42600000000000005`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{6148, 6754, 6755, 6666, 6899, 7379, 6214, 6900, 6756, + 6757, 6667, 6901, 7380, 6215, 6902, 6758, 6759, 6668, 6903, 7381, + 6216, 6904, 7568, 7569, 7189, 7191, 7190, 6478, 6617, 6618, 6543, + 6560, 6217, 7583, 7213, 7214, 7135, 7137, 7136, 6300, 7916, 7917, + 7804, 7806, 7805, 6479, 7666, 7667, 7294, 7961}], + LineBox[{6887, 6712, 6713, 6631, 6632, 6181, 6114, 6724, 7433, + 6725, 6642, 7419, 7420, 7366, 7367, 6190, 6124, 7266, 7267, 7265, + 7269, 7268, 6473, 7163, 7164, 7066, 7067, 6199, 6133, 6591, 6592, + 6552, 6594, 6593, 6476, 7034, 7035, 7033, 7037, 7036, 6535, 7830, + 7831, 7702, 7703, 6208, 6141, 7623, 7624, 7357, 7626, 7625, 6511, + 7238, 7239, 7237, 7602, 7601, 6299, 6992, 6993, 6991, 6995, 6994, + 6525, 7664, 7665, 7663, 7944}]}, + "0.35500000000000004`"], + Annotation[#, 0.35500000000000004`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{6140, 6744, 6745, 6659, 6895, 7377, 6205, 6896, 6746, + 6747, 6660, 6897, 7378, 6206, 6898, 7566, 7567, 7186, 7188, 7187, + 6474, 6615, 6616, 6542, 6559, 6207, 7582, 7211, 7212, 7132, 7134, + 7133, 6298, 7914, 7915, 7801, 7803, 7802, 6475, 7661, 7662, 7293, + 7960}], LineBox[{6886, 6710, 7431, 6711, 6630, 7415, 7416, 7362, + 7363, 6180, 6113, 7261, 7262, 7260, 7264, 7263, 6469, 7161, 7162, + 7062, 7063, 6189, 6123, 6587, 6588, 6551, 6590, 6589, 6472, 7029, + 7030, 7028, 7032, 7031, 6534, 7828, 7829, 7698, 7699, 6198, 6132, + 7619, 7620, 7356, 7622, 7621, 6510, 7235, 7236, 7234, 7600, 7599, + 6297, 6987, 6988, 6986, 6990, 6989, 6524, 7659, 7660, 7658, + 7943}]}, + "0.28400000000000003`"], + Annotation[#, 0.28400000000000003`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{6131, 6734, 6735, 6651, 6893, 7376, 6196, 6894, 7564, + 7565, 7183, 7185, 7184, 6470, 6613, 6614, 6541, 6558, 6197, 7581, + 7209, 7210, 7129, 7131, 7130, 6296, 7912, 7913, 7798, 7800, 7799, + 6471, 7656, 7657, 7292, 7940, 7953}], + LineBox[{6566, 7256, 7257, 7255, 7259, 7258, 6465, 7159, 7160, + 7060, 7061, 6179, 6112, 6583, 6584, 6550, 6586, 6585, 6468, 7024, + 7025, 7023, 7027, 7026, 6533, 7826, 7827, 7694, 7695, 6188, 6122, + 7615, 7616, 7355, 7618, 7617, 6509, 7232, 7233, 7231, 7598, 7597, + 6295, 6982, 6983, 6981, 6985, 6984, 6523, 7654, 7655, 7653, 7939, + 7966}]}, + "0.21300000000000002`"], + Annotation[#, 0.21300000000000002`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{6121, 7562, 7563, 7180, 7182, 7181, 6466, 6611, 6612, + 6540, 6557, 6187, 7580, 7207, 7208, 7126, 7128, 7127, 6294, 7910, + 7911, 7795, 7797, 7796, 6467, 7651, 7652, 7291, 7938, 7952}], + LineBox[{6629, 6579, 6580, 6549, 6582, 6581, 6464, 7019, 7020, + 7018, 7022, 7021, 6532, 7824, 7825, 7690, 7691, 6178, 6111, 7611, + 7612, 7354, 7614, 7613, 6508, 7229, 7230, 7228, 7596, 7595, 6293, + 6977, 6978, 6976, 6980, 6979, 6522, 7649, 7650, 7648, 7937, + 7965}]}, + "0.14200000000000002`"], + Annotation[#, 0.14200000000000002`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{6110, 7458, 7459, 7123, 7125, 7124, 6292, 7908, 7909, + 7792, 7794, 7793, 6463, 7646, 7647, 7290, 7936, 7951}], + LineBox[{6568, 7589, 7590, 7353, 7592, 7591, 6507, 7226, 7227, + 7225, 7594, 7593, 6291, 6972, 6973, 6971, 6975, 6974, 6521, 7644, + 7645, 7643, 7935, 7964}]}, + "0.07100000000000001`"], + Annotation[#, 0.07100000000000001, "Tooltip"]& ], {}, {}}}], {}}, + AspectRatio->1, + Axes->True, + AxesLabel->{ + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + AxesOrigin->{0., 0.}, + DisplayFunction->Identity, + FrameLabel->{{None, None}, {None, None}}, + FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines->{None, None}, + GridLinesStyle->Directive[ + GrayLevel[0.5, 0.4]], + Method->{ + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, + PlotRange->{All, All}, + PlotRangeClipping->True, + PlotRangePadding->{{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, + Ticks->{Automatic, Automatic}]}], "}"}]], "Output", + CellChangeTimes->{{3.888047202190917*^9, 3.8880472452265263`*^9}, + 3.8880472882723913`*^9, 3.888047331007161*^9, {3.888047393762148*^9, + 3.888047403864863*^9}, 3.888047487144175*^9, {3.88804848544202*^9, + 3.8880485004700203`*^9}, 3.8880485418056173`*^9, {3.8880485721284847`*^9, + 3.888048592183983*^9}, 3.888048723144269*^9, 3.888057142762373*^9, { + 3.888057215793676*^9, 3.888057223113933*^9}, 3.8880572566330757`*^9, + 3.888057339383724*^9, 3.888057376142086*^9, 3.8880606519064713`*^9, { + 3.888060704145084*^9, 3.8880607338589697`*^9}}, + CellLabel-> + "Out[1053]=",ExpressionUUID->"fdd520b4-54d2-47db-a3bb-60a0345fce65"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData["legend"], "Input", + CellChangeTimes->{{3.888048728316663*^9, 3.8880487284975977`*^9}, { + 3.888057180596838*^9, 3.888057181098896*^9}}, + CellLabel-> + "In[1047]:=",ExpressionUUID->"402f6e45-15c7-493b-bdc6-858b5fc3059f"], + +Cell[BoxData[ + TemplateBox[{ + StyleBox[ + StyleBox[ + PaneBox[ + GraphicsBox[{ + RasterBox[ + SparseArray[ + Automatic, {11, 1}, 0., { + 1, {{0, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, {{1}, {1}, {1}, {1}, { + 1}, {1}, {1}, {1}, {1}, {1}}}, {0.135, 0.225, + 0.31500000000000006`, 0.40499999999999997`, 0.495, + 0.5850000000000001, 0.6750000000000002, 0.765, 0.855, 1.}}], {{ + Rational[-15, 2], + Rational[-225, 2]}, { + Rational[15, 2], + Rational[225, 2]}}], {Antialiasing -> False, + AbsoluteThickness[0.1], + Directive[ + Opacity[0.3], + GrayLevel[0]], + LineBox[ + NCache[{{ + Rational[15, 2], + Rational[-225, 2]}, { + Rational[-15, 2], + Rational[-225, 2]}, { + Rational[-15, 2], + Rational[225, 2]}, { + Rational[15, 2], + Rational[225, 2]}, { + Rational[15, 2], + Rational[-225, 2]}}, {{7.5, -112.5}, {-7.5, -112.5}, {-7.5, + 112.5}, {7.5, 112.5}, {7.5, -112.5}}]]}, { + CapForm[None], {}}, + StyleBox[{Antialiasing -> False, + StyleBox[ + LineBox[{{7.5, -112.5}, {7.5, 112.5}}], { + Directive[ + AbsoluteThickness[0.2], + Opacity[0.3], + GrayLevel[0]]}, StripOnInput -> False], + StyleBox[ + StyleBox[{{ + StyleBox[ + LineBox[{{{7.5, -92.04545454545455}, + Offset[{4., 0}, {7.5, -92.04545454545455}]}, {{ + 7.5, -71.5909090909091}, + Offset[{4., 0}, {7.5, -71.5909090909091}]}, {{ + 7.5, -51.13636363636364}, + Offset[{4., 0}, {7.5, -51.13636363636364}]}, {{ + 7.5, -30.681818181818173`}, + Offset[{4., 0}, {7.5, -30.681818181818173`}]}, {{ + 7.5, -10.227272727272734`}, + Offset[{4., 0}, {7.5, -10.227272727272734`}]}, {{7.5, + 10.22727272727272}, + Offset[{4., 0}, {7.5, 10.22727272727272}]}, {{7.5, + 30.681818181818187`}, + Offset[{4., 0}, {7.5, 30.681818181818187`}]}, {{7.5, + 51.136363636363654`}, + Offset[{4., 0}, {7.5, 51.136363636363654`}]}, {{7.5, + 71.5909090909091}, + Offset[{4., 0}, {7.5, 71.5909090909091}]}, {{7.5, + 92.04545454545453}, + Offset[{4., 0}, {7.5, 92.04545454545453}]}}], { + Directive[ + AbsoluteThickness[0.2], + GrayLevel[0.4]]}, StripOnInput -> False]}, + StyleBox[ + StyleBox[{{ + StyleBox[{ + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.09\"", ShowStringCharacters -> False], 0.09, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, -92.04545454545455}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.18\"", ShowStringCharacters -> False], 0.18, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, -71.5909090909091}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.27\"", ShowStringCharacters -> False], 0.27, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, -51.13636363636364}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.36\"", ShowStringCharacters -> False], 0.36, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, -30.681818181818173`}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.45\"", ShowStringCharacters -> False], + 0.44999999999999996`, AutoDelete -> True], + NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, -10.227272727272734`}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.54\"", ShowStringCharacters -> False], 0.54, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, 10.22727272727272}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.63\"", ShowStringCharacters -> False], 0.63, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, 30.681818181818187`}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.72\"", ShowStringCharacters -> False], 0.72, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, 51.136363636363654`}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.81\"", ShowStringCharacters -> False], 0.81, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, 71.5909090909091}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.90\"", ShowStringCharacters -> False], + 0.8999999999999999, AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, 92.04545454545453}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}]}, { + Directive[ + AbsoluteThickness[0.2], + GrayLevel[0.4]], { + Directive[ + Opacity[1]]}}, StripOnInput -> False]}, {}}, {{ + Directive[ + Opacity[1]]}}, StripOnInput -> False], {"GraphicsLabel"}, + StripOnInput -> False]}, {"GraphicsTicks"}, StripOnInput -> + False], {{ + Directive[ + AbsoluteThickness[0.2], + GrayLevel[0.4]]}}, StripOnInput -> False]}, {"GraphicsAxes"}, + StripOnInput -> False]}, PlotRangePadding -> Scaled[0.02], PlotRange -> + All, Frame -> True, FrameTicks -> {{False, False}, {True, False}}, + FrameStyle -> Opacity[0], FrameTicksStyle -> Opacity[0], + ImageSize -> {Automatic, 225}, BaseStyle -> {}], Alignment -> Left, + AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, + ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> + False], {FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> + False]}, + "BarLegend", + DisplayFunction->(#& ), + InterpretationFunction:>(RowBox[{"BarLegend", "[", + RowBox[{ + RowBox[{"{", + RowBox[{ + RowBox[{ + RowBox[{"GrayLevel", "[", "#1", "]"}], "&"}], ",", + RowBox[{"{", + RowBox[{"0", ",", "1"}], "}"}]}], "}"}], ",", "10", ",", + RowBox[{"LabelStyle", "\[Rule]", + RowBox[{"{", "}"}]}], ",", + RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}], ",", + RowBox[{"LegendMarkerSize", "\[Rule]", "225"}], ",", + RowBox[{"ScalingFunctions", "\[Rule]", + RowBox[{"{", + RowBox[{"Identity", ",", "Identity"}], "}"}]}], ",", + RowBox[{"Charting`AxisLabel", "\[Rule]", "None"}], ",", + RowBox[{"Charting`TickSide", "\[Rule]", "Right"}], ",", + RowBox[{"ColorFunctionScaling", "\[Rule]", "False"}]}], + "]"}]& )]], "Output", + CellChangeTimes->{ + 3.88805718172127*^9, {3.8880573449984913`*^9, 3.888057363849419*^9}, + 3.8880606566402693`*^9}, + CellLabel-> + "Out[1047]=",ExpressionUUID->"551956ee-31cb-4e27-bfe8-22dd059f98a1"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"majp2", "=", + RowBox[{"Map", "[", + RowBox[{ + RowBox[{ + RowBox[{"ContourPlot", "[", + RowBox[{ + RowBox[{"DMajority", "[", + RowBox[{"{", + RowBox[{"x", ",", "y", ",", "#"}], "}"}], "]"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"{", + RowBox[{"y", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"Contours", "->", + RowBox[{"numContours", "+", "3"}]}], " ", ",", + RowBox[{"ContourShading", "->", "Automatic"}], ",", + RowBox[{"ColorFunction", "->", "colorFunction"}], ",", + RowBox[{"ColorFunctionScaling", "->", "False"}], ",", + RowBox[{"Frame", "->", "False"}], ",", + RowBox[{"Axes", "->", "True"}], ",", + RowBox[{"AxesLabel", "->", + RowBox[{"{", + RowBox[{"x", ",", "y"}], "}"}]}], ",", + RowBox[{"PlotRange", "->", "All"}]}], "]"}], "&"}], ",", + RowBox[{"{", + RowBox[{"0.2", ",", "0.4", ",", "0.6", ",", "0.8"}], "}"}]}], + "]"}]}]], "Input", + CellChangeTimes->{{3.8880459125859833`*^9, 3.888045987048978*^9}, { + 3.8880469422018223`*^9, 3.888046944565338*^9}, {3.888048511034553*^9, + 3.888048546191875*^9}, {3.888048581966566*^9, 3.888048599357606*^9}, { + 3.8880487319230022`*^9, 3.888048741072805*^9}, {3.888057380021154*^9, + 3.888057400564996*^9}, {3.8880574477735977`*^9, 3.8880574583849077`*^9}, { + 3.888060440794601*^9, 3.888060465378006*^9}, {3.888060550798527*^9, + 3.8880605536325903`*^9}, {3.888060694025069*^9, 3.8880607386282253`*^9}}, + CellLabel-> + "In[1054]:=",ExpressionUUID->"966cfbde-64c9-4792-87b8-9118c5bc822a"], + +Cell[BoxData[ + RowBox[{"{", + RowBox[{ + GraphicsBox[{GraphicsComplexBox[CompressedData[" +1:eJzMvQWUlEfQNopLkAQITnCHQHASIAXBPTgElwR3h+AuwV2Cuy8uQZZllWV3 +Z11Zm3UDggS9k33nqf66hrn5/nvPPefu4Zym+m2tri7r6p4KIyb3/DVblixZ +xhfOkuXfVP5tqdzR8s+BdNiR4dBrEy3/PMR3E8OZn0MDGA4xMhjenFk+muFK +/4JbYhm+mlk8juH2mR0kMhyc2V4yw+MzB5TKsPGXIWA1r8+njgxjfvp3E8OY +H2DMDzDmBxjzA4z5Acb8AGN+gDE/fV0yBKzW6fPzUqk+P0cxP0cxP0cxP0cx +P0cxP0cxP0cxP0cxP0cxP0cxP1u6+/w6qXnJFPMDjPkBxvwAY36AMT/AmB9g +zA8w5gcY89P3TYaA1T76PN052sxD/65Sff1MYv1MYv1MYv1MYv1MYv1MYv1M +Yv1MYv1s+cLn95GjzbrIeQCWKeYHGPMDjPkBxvwAY36AMT/AmJ/O1zIErPjc +5/mCow2dyXWR8wAsU8wPMOYHGPMDjPkBxvwAY346n84gybc/fvr37ynPT4cd +Gcb89O8mhjE/wOgHMOYHGPMDjPkBxvwAY36AMT/AmJ8OK7mE+Uk+J/mC3EeS +7uQ6AZYp5gcY8wOM+QHG/ABjfrpczSB7chbzk3xb8jnJF+Q+knQn5wFYppgf +YMwPMOYHGPPT9YQMsqc3YH5SDkm+Lfmc5AtyH8l1kfMALFPMDzDmBxjz0/We +DLKnB2F+Uq5KOST5tuRzki9IOpPrIucBWKaYH2DMT9fjMsieXof5ST1BylUp +hyTflnxO7htJZ3Jd5DwAyxTz0/XSDLKnp2J+Uu+ReoKUq1IOSb4t+YDcN5LO +5LrIeQCWKeZnT+/G/D6vx0m9R+oJUq5KOST5muQDct9IOpPrIueRYZMa4zvM +qTH+25waw3Pm1KjnzWlmtS1+nHbIbCiY0wmZDYVzauRHcWrMP4ZTo5yZU0OO +xXO6KbOjJE4rZvabwqkxzjROMa8s4g/5mJdeztsGRr3Pt6vwiPaAP9QH/F/9 +6v0426yDbBfpf60T6BLrhHKAUQ7rhu+A8R3riO+A9fpRon4Uf8c64ztgvX2z +aN/M30EH+A4Y30EX+A4Y33U6cWZYx2OawGeazfpIvMp1kHiVeJd4lXiXeJV4 +l3iVeJd4lXiXeJV4l3iVeJd4lXiXeAWs03+azb6yh3cdzhDrJPOduV2sj71+ +8V3uT5mvwx42+03uL8BYV8BYR/17lLCbYkR5s7A74hkG3gEDz/o402zG//+X +cUo+Kset80kHATvazddhk1ivALFPQm3W8/+0nm4fpnNqtLOFUyNx4nRSZkFP +TkGXKK/jRbWHcsa6uHE+2pGwTu+qHdQ35nHN2s8Zku0CNlq5zzBSzEfmI8U4 +MotV9uF8o1t/hg39J4RhQ9+JYBj0gfb0fF+GM5fjUyDDhh4VJsYbyfOT6wa8 +g550PnBb0J9JyAdvzsc+Ayzz5TwA63xri0054NEeXiV9YF31+anvWFcdHx5M +FxL/9tZdrgNgjPN/uy6Sfv63dPL5feNhk6/D3sxHME59Pyg8oBzqAa/6up3h +ep/fp46CXu6LfXrfRq9APZQD3nV+LtfBwy6d6PMK4H6AZ5QHrPP9UC6PdUB5 +wCiPdcF3wPiu+5Wgl0SJdY7m/vAd7QFGe7ofB3w5RtBbLLeH72gPsD7+OG7P +kGNxgu7iuD18R3uA0Z7up4CelMDt6facN39He4DRnu4XcKYrmWkSt6fbg978 +He0BlnwV+xb5gNEO6Ebua5QHjPKgG5THvtfXLUysy1NB75GC3iN53pJOAOv7 +OVrIu2ixDxQdSjoBrPNhs+BTZsEflT4t6QQw2jPwE8/tAdb3ndK/JZ0A1vdF +IrcHGO0BBn8K1eSf0oOR6vkONt91vnifU/AbXT4F2/UbgK7kd+TrfgRbPwPo +TH7X86Ps+iUA6/77GP4u/RagM/kd+dCL7fk5dD+z+q6fC8Tb9YuAjuR35EPv +tudH0c8X1HfkQ0+353cBf5Hfdb6UZtdPA/+U/K77CyXdOXD+NatcRqrzLV8b +ukKKfPAppJKOkCIffErXW6KYXsCXkEo60c9NYgTfibahC6TI1/mOLR3o50fx +zDeQynVHinzwBaRynZEi3+gnmVO5rrpfN83aj0rBf6TeK/UWI/+MkEdn/kNv +us90YU+v0/OdbewyqWehnD05CTqyJxdBN/bkIOjGntwDnUg5JuUcytuTU1KO +STkj5ZCUU1KOSDkj5ZDEt7EMSq8EbE+PlHqm1COlnfhfeqLUM/9LD5R65H/p +eVJP/C89DjDoS+ptgNGePT1OX7cYgQ+zmG+8mE8S7yuDz24R+06l2Ef6Ovoy +LFPsA6yjhGWKfYF1lbBMsU+wrhKWKfYJ1lXCMsU+0ddVwTLFPsG6Slim2CdY +RwnLFPy2XeY4Um1gmYLfgt4k/ejrf5v5MtYZ9AC5acAmwd98BX0ls9yEHqf7 +sQN4XdGOrkcFC30rlNcV9XR9KpxhPR4jWtCDmdsFrOtxZkEP8aLdeKG3xQt6 +SOJ2Aet6WqKghxRuF7CulyVzPWNcacLfnib0sDSuJ+1ArC/mY6yjI8OQd7oc +uc3zQXnAKK/Lkds8H5QHjPK6HLnN80F5wCiP+YOO9PImhqE3gL4By/r6ePxE +fIGvkFtnWO/Efvi8X8dB2FO3hR9V+Qt1eR0g5GuokFvhNufkuv8ow8Yuxzz0 +fePHsL7f3Hi/6HZLOH/X86Ns4mD084HbNnEjoA/gGfQD/ifjELA+WEd5bq+f +P2XYnEehHPifPAeX51Ofz88QdH9Y0PVhcQ6i9glgyCfQob7P/MQ+sqVLfR/4 +8fgAY//r6xsj+LS7Nf+pDR/W7cZw7h+wzs/CuX+dj6cJOnW3tmPLxyFPQUe6 +HhLF/QFGf/r5Zpo4/7zP7drDgz05gXWU6yDxYk9u6PgwC3zY0o3Es44XRe+6 +Pphmd10k3qTcAf2jXUlHcl0l3uU8pZySdCjpQq6bxJN+rmwr16Qdp/Pf+zZ6 +p9Qrpd4o9TajfrqNXYp88AfdLkhmGPjV9ag0YR+m2znn+3/frm5HZwh5c1ic +B9y2m6+fv8hzqWAbeaTbk8qOwvrpdk6KkHdpNviw169uv9j2+1/9GKmy6yGn +pVyW51moZ9CTixVPD63zi2A+h9SoHy7yIxk22osUdHtb6NvqHAjyHngBnSPV +8x/yOI1+UO+xtV0/hv+345Tz0+cdINrzZxj7ELDRXgjDxjoGM4x9qsPKv2Hw +6Sgeh96u/XkCT1LPwnej3UCGjTSIYfARqZfhu7FfQ8W41HmEkUbzuhjf5TkW +4le3iPPFwwwb/f/Fqe4X8WW+hvFCroLvYRxSbwOsnz+ZeVxSLwMMPiX1Mv0c +KV3YH8E8Pl3vVH576VeVclq33239oFLu6fZ1Co9PlzMqRb6+v/73dCLpQi8f +aUO//1/tI/Sjn4e72+wj6R/T/fXHre1e4XUCXnR/pS+vk76uUcI/braj70k9 +QMUnYx/oepQD14edpcf129q1mJfub4210RPBH9A/voP+AaM9wLArAEMOA9b7 +CRX8TflRgMfM4hY7QddXgm3ui6C87lcIF/ZVOI8XMMarxxdmCPkabGMHynsB +WGf0B1j3U0Zxf7q+nsEw8C7tIjlPaWfK+x5S35brKPEk5yHj4tGeji+zjV0I +OpT6ucSLtHtlXLpO1xk2dqBcR4lnOW5pR9ujW0kXct0kHtCetMPt7QNJZ5IO +JF4lHqSdr+en8T7Huuv61RnORznYweCDsFN1Phkj9qWZYd3+N3F9pLArwO9Q +Du1if3/eDrbtF+XRrhwHvkt/svQXw54w5MojTq9n/ucJp2gPeoqxnt78Hfko +B30SKfiWbqdG8HcDD2ZOdXzhPFN9N/Z5GqfQZ4xxKT+lPh6z8LfE28Qh/G/r +Yd7GuFS8BfCK74Z88eEU+VIOo18jdRZ04s50gHGAz0k60OVEnA0d6Ouo4vqQ +Srsa+wWwvm9MNnqA1EMh/8HPpV4g9VTdfx9qozdIPdYYdiTPD3xB95ek2MQd +QK8wxqnsZXkuIs+zZb7uFzgj8Oog8BnA89T1xyCely7vlJ0AujHGl8z8CvtH +j5eLZr6DdnS/W4x1/HG8n3Q9Hv4m4FPxDd1/hPN+xUdknAbygzL7gb8phVOj +v1SeH9oDrPP5+yxXgV/QrZFcsa7DXhE3E8p4Ad1gP+l0pfRRzEOPm0jm/Y95 +6fFXaSJuAn6tRKYz/bzBSfgnnYTeec2G/+h6J+LnEm3oTreTQwUfUfexAdvj +K/J+qU7nFznFPjXG5ccw+IS9fMDoTz9/D2Z6xP4BbKDHX9ipwcJPGMAwykv+ +DDwC/6An8GHA2IegL13OXBP2/TUub4zrpk2cv+wH7aIe2rHXD9pFefBBKc+Q +D7mO/Y96xjiWCniLaPcKrzvGo8sFZ7YPUQ90Ya8f0Cva0/mkM/s1UN6YzwMx +LttxAJbjsNcPYNkP5q23kyULYNAp8Az+q8vjJKG3JdqcO0JvwP7U5doVYXf7 +sfyAfJXyF3SPfHmOLuWvPD//fNwE/PaRLG/08/tIYddHCT77lPmkjIPQ+W68 +0ANtz9Wln0Ces0u/lX5fHX4dJc91fUDJJ+AT6wUY62kvX18HE6fGOvvZzcd6 +gE8BxnpCX5B6A2Ddjkxk+Q39VLf7kll+Ax+6vuXGcsGe3MD64jvGDbwABl6M +NIDnDb8WYOiNqAcY8zfSEJ4v/Fw6XuJt9BhdL0xgvMg4ms/rjUrPkXE00A/0 +c7QU1nOwf3W+F8j4AQz8YB7AB9YXMPAN/Oh+3ABeH7Sj21XK/4by2Lc6X4gS +44oUdly8sM+SeJ8C1v0zibwP9Tg0FS8C/QfzQj3AWFfJR2FPQf8B35ftYj/q +53q+Is5OnZvo9/V8RTyhL+NNxpEAlvwc6y/jUPTxKr+Ujtd4nq/uR0q0icPW +y6m4a8Aor9v/CUzn4A96fFiyDT8E3rAeevyiD7cLeQi86nGWvjZ+DenHkP1A +nmEeOt2q+wqQ88A79B4DdmA9APsT36XcNr57M36wroD1c8KlNueIaFfqH6BP +vd8HXA7yHvwK/Bt4Bb1LPoZxgZ9j/YzvyTZ8DPSly414m3Z1uZFo047u71P8 +D+ss+ZauX/jZ+LP1c5xg3he6vqLi1kHPMo4d4wc963hKEXJCyoEU4Y+L5/lA +7wG9Y53wXY9f8xX2i0mUv83tgS50vcpJyFmTsDdNvG6g5yyf/bsv+P5jofc9 +5nXU4xAybM5J0S/q6/NW8gf8D/xUx+dTEScWZqNHw18h3+WB/AA9yXdOdH6Q +IfhhnI39iv0HfgR8GeVjeZ2lnEKqy5kz3A/oyp5fIyyzvJd1fyVZ6dtF8DF5 +Pq/O9WRclW5Xq/NEe+2g3P99Ow48LtAnYKM9V+u814l4HxOXAz8DDLsO64Z1 +B1/R7fIrLB+hhxjtRfI+hV4P+oW80uO7AnnfyRT8FOsjU/BP6bfS8aLiO43x +XbPBm64XqXMlXZ+S5+pJNueUcp729i3oHrCuR23hfYTxGin8jeo8Hvmoh3Yg +D+U5AfL1+R9mGHzPXj5g8HGdHh7b5WNGv9gX6l6Wbq+q8wOUQz3Jx8BvIZ9k +HJ6MowPfwLyQIl+e88hzHHlug9RePdCLpFfQBcrbO8fR5W64sMvNXF6/dxDD +/FCPF4oU+0ruoxTmA+C32JegM/B70Nvn7TZpl6l9AH5q7IckwT+2MB4hbzAu +6b/V/bUPed7Gd8Q7KT+HXC/k6/JB+SuBH50/qnsUMl/yW6PcNDt+LuXH0veV +bTnwPaNdb7Zr5Lkd8nW9y/aeIfYP+D9S5GOddX4cxngFflAP9r/k3/p5prz/ +ouxxnX+ZxLmSsodRTo+bNTPeQK9oB+eW0o+M8Ul9XL8HqfYP6BXl9PVdanMu +gHrge+BPgKEnYT5YZ2l/Yx31dwLjbfRk/Zxfvbco8QI9Sp5r6/b5U56Prt/F +Mwz86/f179u8vwn+p++nOBGXos5x5HfdjlZxbnr8R4TgsyoeGHzCwGu6OH9W +8cHy3gz87sa4H/G6QF5iX2E/Sjmr6/nqPZnPtxPP4zLWIZ37BV8zxuvMsH5O +7cn+HvSn+5PUuSP0eV2+xgs5q2B57oh+pJ8D+rPU03S7WN4vT7HR26RdDD+v +fq6L+BZfTo36gSKNYTll4O22wD/8wp6s5xp4jhX38+LFObM6r5J8ST8XVnQL +fOnfQ23knLRbdL95KK8byss4FVle98eHif2jxqnjXd1X0P1cacJeThf0Eyr8 +imE2/B79oF0p14Fn/b0W237191dsz23B/65Z5TL4H/QMwDiXQznUQz7KYV9i +n2J/gl8Y44Me4Mh83p4c0OPmVRyLHleo6Neor+xszFfuL93fZRu3o8fj2sbp +yPhbXY6r9QPeZVyPPT4LutTfTTDzfLB/Klv1F8DS7wA86XGAUi7IOL0ooRfb +xrXq+obaL8Az8qU/TsYNyH1iz8+BFHjS9ZbjNu8Qga+DH+M75o3v8AeCj0n5 +BBipLAf+jn7RD+hEjkOHE8S4bccFGPvMSLfw/A14KcPGft4r4p4cOV/HW4BN +fJJ+nhnI+wHrq+szKj5I8gk9TiRBvJ+BuEn4G1KFvqXeVZbrIOND5Hvf2A/g +E0Z+pOAb6r4C+gU/Msop2GjvPs8P9Qx8XuZyBn+7yjDiznX/WpQYlwPTr34u +HC/scfhNwLcUbOBJ8Rv4p4FfI1/BGzP7VfiGHxD0oOvDAayXAIbegvIYL+Sv +vh4BQj+KF/G68cKPL+OCE8V5o62eCPrS8XmN9XasG2CU0/ePA+sR2C/yXEyP +ZzSJc8pYwSdjRbvxbFfocvmMDb50fVH50aSfC3oq6EmeKwDGOulxBbZxR7p9 +aBtnpN+TDBZ+jwAht4IZxnfp9zbKRXMKOsR3Xc+JYViPA0zj74D133OwPYeT +dqpO/+odDH28Sq9AefBL/b5qAMNYT/1cS50jS7tQyl17eAYM+tPj9GzxpJ+f +RnF5e+sEGO0beEy3i2fA+vknyodzauwLM6eQjzIF3Rp0r8rLOGkDTuNUl9tK +7ur3CbyZr+hyOpH9FQZfTWI9A/sOfMFox4ntSgNPtnYn+LpRz51h/R7nKfaL +6PzJXcQd4n3UczZ+FJQHjPLGeNaJ8jiX8bHbj843Xblfo/w0ztfbecJ8Sspp +/R6hOi/S4zrVfWDUs1cOsM4fIxjW9fUo1uPtldPtQFVP98/GCX1Z+af18w3b +cvo7OLb1dL1c+QWknwDyHvSp+w/kO3UpfO5mpCm8L7H/Aet8PZ3r2ysHGOVQ +T5fb8Aeqc3PplzDW088mBd826EH5K5CPcshHOYPugmxS8GmDThGHrvzyKId8 +lNPj89Q9F/hJoLfIFPz7Q2b5JPbX6/dRkjkf5SB/QKeA9XOeGKZTyCX9/CZG +0HWMsGMTmU51/4qZ6Um3M5OZfvV1jed11fW4VC6vv88Uz/4MlIfdoJ83qXcQ +wH8xLtCdvG+r6y3povwZ1v+AF9CRPGeXeqyM08L8AWO8ennlR5J2MvCu+62U +H0ja0cCjXj+Jy2N80m/0+fOfUB4/vmN9dD9BGpfH/PR7r+kMY//Anyf1JPSn ++6mVniDfsZL3FDB+PS42mfGq6zHqPi3Koz/9vCPdZl2kv0/qYzqeYwW9qXvj +8hxC0g3wqs8rzO66oH/9e6zg12a7eNH9lCk2dIvx6HgLs7vuch31cwuFZ3t4 +t3cOCdhIld/RSG3jbAEb5e3H3aKcjLOV525Gvm3crdQbpJwHf8L8DD7jJPRB +9U4r/OXwkwJGOf08S/lX8d1ePdku2jHq496nC8/TwJc7w0Y7eC9TxQsY8wlh +GPqY7h9Q7yQCNlIH1kfBf41yexnGOmCd9Xv8Jh4f1hXrAhjrgnXW5Sb8ErZ+ +LMC6HRrO8hb5ut1mZn825J49PAIG3uzh1ah/mPEh48RkXBzin3U6DxewnE+s +4MfqnAr7TpfjKm5ZP/e5L/bzbdYvDPgh8wOdz8TZ+IUAQ74Bht4PWPJR+I0A +6/d6/Vn/BIx9CVjXm+S98SgbvqufD0fZ8EH9/onyB0AOApbyTb7boJ/bXGO8 +AdbX5bCNnqDf/wiziSPUf+8vTNyfV/fl8V2/D6/uv6Nf/ffnwtg+1uklQ/il +pF4QI+xxed9b+b1BJzJOSr9/7Gk3X8YjGnh8IuxhL+Hnf8yw/i6RN9cz8Aq8 +q3czjXX1ZRj7F/q7jI8w1i+R+aWUf5Iv6vLMPp9EfdAh6gNGeV0OqnsZyAcf +xT6S9zJk3Im9exq6HRLFfEfnq2mCvzrYxFPp/k2MG/ZeNKd6fL7yMxrtKNiY +l+L7up9O2WnwQ8s4cP2cz9bPDhjrrd/3vSjOaxwYNtLL1nIHGTbmu0PMS70T +ouvRys+O8ep+BuVnxzoABr0b401kfoRxQm5JP7sxzjOsl8n4cfkenz0+b28f +AsY+NMblLfa1up8CfOp+sb3sx9Lx6SrwvdduOyiHekYayfMEjH1n9BMpzrdd +WW8y5v+I8WiUd2YYehzoQJ47GeWOcrvGvrlk4y/Uvz+wuaeBfu2dg+mw6sdo +X84vWsgB5dfDPDBuwPCL6vxN3g8MFXwlivUa/V6/+r0FnDNiPxrjVX4knf+p +fJQDnwHf0eNoEWcO/UzBxrw8hP7mznwFfEb3x6t3kTBv0BP2CWDgB/jX+Xmk +sGuihL9C3ZfT+R/mJ2HlH5J6BPY79AT4KyHf4I808lPs6rm6fPkvvddbnIvG +2+hVgKVepb+rFGyjt2FddTtZravxXenJ+v6JZT6g48fEsH4eHcv6nX6v+rD4 +PeenzBcBg7709zRty4Gu5fnY5+P1YwS+ohmW7xSCXxh4c2F+gnwJox7y7dWD +vYYU+0GPz0nnFPscsDFfJ15/tK/b1+qdAZRDPeTbqwe5j3WFHwZ0rd9P8Gb7 +At/1uHr1u3lo1147sh/Zju63l79bZWL+C1i/V+En7jmod0nBN/TxBnB5wHp8 +pT9/ByzfgcU47Y1LjluOCzD2I+xV7Ef4R5AvYdRDvr16oC/db5rGfm3A8n1t +4M0eniQeJZ6kPwv7GPX0+QcIvuMvzkvU71XovyMIuYN3FoMYBj+EXYHvgPEd +KcYHuYH+AaN/nKPr9yzkOptYr9PfS420OZfQz+tszxWMeld4XfXfWUpnfVja +I4D13/NxFn5ON4bBj2EHozz60fXQdC6Pcrr9bdsuYJTX7W/bdgGDf+rvKkew +nJDvHCNf2m8yH/0gH+3q41X3XzFO0A/kLGDU0+VLgJDH6neFdLvQjftBedCr +Ps4g1kd1+Wp7D1nSme43ShbxS+r8D+PGuDBOe/PAuOyN2x6edDzi9+rwXsxx +ts8AG+VUXBJgGZdkTw8BrMe5qN9Hwf7U5xMpzrOVXQq86efX6twP+xJ845pV +HwG/AKz7J231LshL3b705vXT5Wcyt6vfc1BxxnqcN87949ifBRj+O53O5D10 +BetxWv48HvAt6CN6/L16FyiL9od4kqW8zoCxXsAL1ku334IYf/p9mhgR7x8j +zh/V78MY48M9r0ChVwYwDPkFvGE+8jwZ5WXcO/wbejxuGpcHrL93psp/Pm4s +ivUPwMCH/o5qMPeDeep+2GCeB77r9lMw4w/fdTkQbHPvS+f7wczndTn82CaO +EfayTo8xPD7QPWDgRedrCsZ33U8cw+NFeYwX3zFefDfG6yT84w9ZT8D49Tg0 +E/uXsT8BAw/6uYe6Z4d29HsR0SwXgFesk96e2gf6u4vR/B31gRed/lXcoq5X +RNvQLfgJ/M2Ii5N2gm7/xYvzOvv3rPTzPG+214Fv6XeHXJRxXfo7yRG8XyD/ +9XjwOMHvzNyOHi+s4qDgh4S9D3rSfy8infVxY7x+Qj+G3eAr5BX0XfC7IJ63 +wb7U+SL0UP1cOJTtbPgr9PdmIN+SOd5Hj6dXv9eh+yNCeXy6/hXEclbqxbpf +KpLb0ePKYxjW/SDg17GMX/330hAHpvg++gUM/oJ9CD+SvbgmwPJ3SvS4J7PA +d7zwj8WL+D71Dri8dyftAdh39tZVp2e1zrp+quwA4E1/B+Yxp/o637TxPwA2 +1s+d+QbwBPyC3wG/Ov+D3w54VfdEMV/oJYBBd/q4g8R8w7kf4Etfd+VHQ7v6 +/VLlhwM+wJcMPubJ5yTIRznwJ5QDX9HXJUbIOSUndP1WvWMDea6f8/swf9TP +K+Tv2KoU37FORruHeR2N+Ry08hP1Oy4Yj1Evksdr1FvK+p0BT2P/O2CDPly4 +PvABPqrv54usr4M/Ag/QN8EHwPcA63589Y6D3g/kh8KzHidk4vEY43Bgvd8o +f8Ym7g70jPHq5/EPhd/WReDD1i8p9WjQJfgB1gvjA2zM95Kd9bvNsFHeUYzb +yW45fT87cT2jvwecSr+WbofKd6sShdxR94XxXdpd8JtCfoKv6fI0yOY9R8Dg +q9Ab9d+3ThDnp+p9KHkfXu4f7Gush67/XRP3NcCPngq7WPmL9N+LTGA8YJ/r +405iOwH96vaD8pPr8YHyfrGKHwa/1uOJo3hdPv9+ozrP+vx7jWodYfnJOC3d +vrkt9PL7duW4Hlcs+YBZ8FMz73Oshy6PQsV8QxkPGBf4gB7PdpHXGzD6BR4A +678f7CfwZav3fD7uV703AHmo30d4KvTfpzbvZOjv56vf/wSe9dTJ5p066Lvg +p3qc9lMbvUiPB4/jfMwD8lIfZ4SNPx76ie6PDhf+aHVPQr+3Jd+RixfyzCT0 +SfUuFuSJ/v57jNB7YoRcl/e+5e+9K/8K9j/wg30F+ab7/eKF/MY71sdZLoNO +dTkdIN41CuR5gl9KWNdzgljvAIz2IJ8xH8D6eHGOa+b2QSeA9Tj1QC4PeQk6 +gnzE+oJOdfgK670GPi4L+aj0eN2vp+JPpDyA3IF8BKz3n8b1dH/ZTV4nXa8+ +w/qDfp7mx/xf7gv5Oxa6HJXv36j3FbGPdTpOFH5iZQfL91jk+9TAI2Bdn4rk +9QA+QM/6O9HxjBcDH3sFPW9h+kV/+rm/mekBdh1g0Iv+HkaS0HeChb4TzOsJ +usT8pNzU5Ye6F637j23zMR7dr69gKYf1+Fmz0MdjxbqpddfvYal8nY8n2IwT +8wUfA6zfq4zk8aFdSXe6/qbeF0N9o111fg89CuuGdTfWC+cJocwnZVypjCOV +caMyLhQw+B7oV8aZ6v5M9b6RfJdCxgHLOF0ZB4x28V3vJ4r5fIsmb04H33xK +A6oMqTcuyl3481HOmVPdDrvFKfKhr+nvzKXYvFdnr5xOH4hT8GX7F34swEb/ +eAdEvrOJuLYALm+M059h9CftcXv9GuO9y6mB3zS+b4j29HiUSIF30OdjhvVz +8kimS/Rvbx7Ix3iRD9joB/oo5J6KI0WK8pAf4H/6+JVdIX+nR/dvqHflAOvv +j0QyXwGsv7ui5BLsJ12vTGX8If4AMPx1gPW4GHmfw7YflPt/2g/805Le9biZ +SNYfjPomQc9+Yp3hL8S9C/W+3ojYZTWLVIok/0oNX0RcdON8Y/yqntE/5Kui +I+O76g/8Q+8/mO9xgH4A6/vI/jwMevblesb8AxkGHQI2xhXEsNFeEO87o787 +nCIf/ej7+P+8n8/P77/xhnr28Ga0Yxv3CViP3ztjo5dDXzL6vybe01G/S2iU +38JyB/Yu5Ihu16lzI8gJzMfoR8VlSrkCOQq5Cjkr+YF+Tz5SnBM+FXRrtpE/ +RrlHnOpySd1rMNpRcdH24nKlnxT8TY8bDWe/LM4vjHx1/8HAp4KNcdu+UwNY +n6f6faZrVn0L+DPwjPcJ/IVeB3/fdZs4buTrchryxpv3C75j38jyGBf0Mv3d +RynvlPzBvtDlSSjvO+wLwKB7o99pDBvpOt6/evtBzG+wX3VYxWGAPyYX2jN3 +clCYiHOIZbzq+FfvisUP/LtP6Ury93zRvh+3/9XA2n/eGCffXfIU8jBGyD8l +X6V+LPVb7G9dj1C/k6b/DuAlTqFHwF8D+jP6x+9imng/y3ebjPJK7iFFvtF+ +JNu/8H+B7yEFPoEfo77CM8rpcdDunK/f/3FnvgE+psdpPOV2sM/QD/w4gCFP +dXqMFPlmYS+p3yUyxoU4CjOPT48/juTzWsBGP+lsd2OdIKfRDvIxbuRjfFh/ +ST+w93V6SmMYfBz96/gK5/axL2TcNviDfr8n2eZdQiPF+7WSjyh9GPgCjHGB +TvTfm1DrY7Qr10utj1FPrQ/8ioBh9+n8KZxhjAfywMBPHNcHf9DjOYFfP0Hv +ij9h3+mwus8Avq/XDxBwiBhfsMBnqIDNor7id7q8jbRZH6ynzl+jmS/pcTTK +HgMMfRfrB36hn4+7C73CmceF9vT3kF3EfTcnHpfR/iOG0R7mhfqAMT6DXqJ4 +fBiXbu84cb/2+gGsr28kt6ef+z9l+jXoPkzoqfKd+QfsjzLadbSBjfZw7vGQ +1w+w7mdWv0sLvNjDO/CE7/o6ynMfxX/09xuibPgR5Im0W3R+Cr6t6Efny5A/ +alxYH+ADeo5+fq3aA6zHS0ayfwXzRHmdX6t3R9Gvfv/IjfVxnQ+qcYFfGvOw +fWca+i/4KehBxqVIfmOsuy/LN6OcifWXhY1j8m2rEMjwoUUzvwu/rH5vwah3 +W7R/TcgTdZ4GOpTnNDp/jxX8S44/VvAfxb+AR5SX+w3rAFj3LzpzPdC33o8b +w/b4GGC5b+zxFcDAP+hZ57fqXX79vDHcBp+gC/SHethf+r7FObsr73/gS/JN +yGHIX9BDvaN3HbN+COfxG+ttEvzbmekE6424A6wv6ASw5Kt6HL4Tp7If/f1W +Fx43+gN9Adb3hxP757BPUf/OsUG93W4+ZbkGeHlmRYtdlj/Hg/cWeId1PaZO +rJb5/apVPgMOsspflEd/gDdZ6RFwZSs9A76cWT2OYUN/TKQfy5TY0/LOUyo0 +eK7zsQcP6N1S99mbbjylcxnH6nzcGsCw3/dNe7WvGsrlvefHZ99wM47h4Qe/ +2+GQTbX32mlu9cDOyQyvTHS89W5bKsPlCubvWj4indt3HN3Opcs4C7/qmJKp +/xjY8qa31u9/59yeXn6qF+OD/QdTDH2J49ys9UG3qL/0bimn65Z89Ofqm3dF +SJYoUT6YspQvntl+RSsdoX3QFernWNBo9eT23jyf6yeHb9ixUc23q+fp8reD +Url8y6Lp9yuGB1G9xgNO/OsfT6wy7e2//jW0b9BdII/HWD8/Hv++QwtLbdtk +4vYqPB60L7iTH31nba/kII9D/9qL+O7xMxXo1EHNv7azy9kbwX7c//ImS7/8 +lz8Drp2ZKtiz/dg7G2p6cv2fv/zFJ+uEYP5+avHXDf/l5+i/56Jkj4pdwnj8 +0AcwniIxI/uGTYhmuP+bnsU/WeQRysMuQn/Hc59LyHItlssnltl3qtJWM8Pz +W5mbdQiL5/Jf/FbnyYQqSbTMus4ny145nD3IkeFD06cc39DFmWKfvXB4WiGS +mj57Mzc4fQrDM7efelv1h0sUP6pX7Ux59TFgZ9tdrjw+7Dd8X9Lp9vrsbz0o +wQq7WvGF70Un5yhXvfUTXt+ITHx40HLreF7s9qm3NcTM42tc+9W8KhY7ADDm +B3hxZprAsHvm+iYynF/Mv1gmvpN4PHNcF2SMj/Dm8fq4He9ftV0QwwXOm38e +dDWS6x/LxH8Kj7dJ5vjSGB48c/WBSZuTufyfa2cP2zwpheG0zPmlMlzvwv3n +V6+nMT4Nek/n8a3OpMenPJ6oIw2HtN8ewd/PZtKbL8Oj0tKTOm00MfxFqvPS +TdV8Gd/bKhv2ENpreWywc9YP/gzvKvRV0atTFPxrZnshDN/75fD3H7MpuP7r +2TOPtTdzfwa+Yvn70G99yizKqr73afnFnrTgKIaXzxrZynWrgg+Y6sQs/hjN +8Nw1++42maBgrzyr1/5yQ8HNY39802hyJPOXXZcTalTsf5nxe9tx56033W8x +/PZ06/cz1t3h/WGsVwy3F5eZxjL89d6zvilhMVz+iHX/YL+dsO4f7PfmmfgM +Z35gtq6X9/vTZ/+FnYu/bLPuu0tcH+1C/oA/g59z3K/2PZjhIKv+DHicVX8G +DHrC+PZnrm84t98psz0f5u+G/uMu5KUflwf9oD2nTHpQ/Ldg5n6L5vLg34Dh +r0P9RVZ+gf7BD9A/+CVgjp/S5H089w9+ocv/JMYz+APGA3mK/XfFqvdg/X/J +WmPMrdEuTM+DJzh0uzzdS+xfxZ+cMuVnIvODnpn8PJn3H9YT+l5P63mw3n8c +w9BH0L9vJn/yZnxBf0X7Ha3rifIzM/lbEH/nOCuNf8czDHxlf7vgQFbWN7Jk +AbzCqp8Bf6wPa/I5kvFn7P8oXg/Yp8BPXKb8ShX6mOKnczP5fTrPF/6f5tbz +9Dirv1nHn+KPtax0BnwfK3yhxP+k/zCrvQZ89ciU14reDb3Vn9sHjPLRmfs7 +gOFXhb9fMDnIj/ENfRXj53vL1u+AMb4mmfNS+8VYjxCxPiE8v9yZ/D2U+zf0 +nWDRfij3Dz8tvgNG/4MWr/X6V1/R+Y/i30sz+bVZ6JtRQl9R/Pz4vZe/Fqqq ++HW9THmh+BvsR4w/o0epC0c6KX6MFO2zf0NbbyU/wQ8BMz+0zhf2ub4ffHj+ +ngNbtfiXn4EeYWdhf58uUe5y9G+XeX/gO+h1Wc2IJW1vPeD+t1vtF/Cng5n6 +QCzPn+Nhtf2o5t8sU74pefqw9IPc7ptiBD8xM8z2jRUGfgHDHtL3r5PYv078 +HfsJ9AN7VW8vQthnznRjxs0HWb6z/T3dql1HxbpOUb8PQqEeU9+vUb9D2WJK +vOuWRep++9mgkQffzFbfX9Wr+PrnNSb2M7j0HZBz+ZeBdP5Yvf55R6vfyw3r +UbL0lVImhnEO6jTm0cZG/yO+6GP2GVmajlPxRYdyvSk99kcVX/Su3IWkRgXD +KOQdfRN1TJ3TPUn85kCFpuq+xtG00AP1bwewv+Scd93zw8tEMzy/n6n8guEB +fD7bv864Lt2yq9/NwXiGX/b/6JpXvYtXcPmFlaVC1H2pX03nRpnOxVL28bci +b2UJ4HkN/GNA6xkpKp4J5S+dahgbNjqezAed8q0LVPFNax6eSO/jpOKZxuZd +/oOj4yVOt2bOK46yZx78nKGsme3F0hdWv0LRf45UGrUslvZ4frxy5K8A6hYw +olCLI3GU+GPS+PzjA2jzqvmXS91PoE7916xbWDiA6j5yHXGvrIn2Hlzkvcf/ +KTWsuPGnvy34Qzqw3Yn3u0fHkluFIeNmlo2mWrfftLm4K45yT/ut/Ohc0VRz ++P6H4e4JNOPFg/xT0qPI+ffwhD8/JdHCpBsH8odGUaUOU0++b5RKHTdn92zr +GkVThlx/5jIxnbIuy7I8xcKPME6MG/2gX8wT8y629tj+L8cFUOz8lqfvHo6j +iqsztp/IGU3tfJbeytgZx+PAuDAOjAvjwLgwDozrWPaxpedsdeZ05scKD+pv +M3Pq1j9m37T1ZvpyyNof20SZqX/VRxR4L43TfyblWZSeLZ2mTziflnw5jVPk +O9fd8X6EWzxNPuib64eJ3tSm9tkjrg2SyKfs+rabTntRuTonD8SNSqJHwcvc +X2/y4nKol7fXio9NLeV6zk3ycbDUe2gth3rQQ4fXSH1wJZf6PWXT5rlvur90 +53yUQ770s/mnF9s8rrAL5fxphdOYMFead7jbxKDcmzhFvt+R9hvLtnAnx+V5 +i1TtEkl+w17l7RbjRi53nL9+88ACnx2Q0e6hJ71/O/ML15o+NLtj4/j48a60 +a+uVXgXWnaQk1wEtajb3pT8+bajn2MuTprkHbK9zxpd+uhL7JrmZJ/Op93/4 +eH1f2I3bQbs4F02Z3sZ57kMP3vfuVn63Q/g9x1jlYD+rvod9WXfvIueGJb15 +HBgXxoFx+e4btsb9Bw9xTqv6yXuz64NuL3AurX4vF/kTK90Ompv9Hqe54nzK +3Juufg9g7p5iz941SqKia+sfql4kgb62pvOs+Rhv/QyP+hcaJVDX6LUPv56Y +Qr+u+/lF/0lJ5BAd7HrDOY3K3d3UeNuCFIr+o1CXv1+n0avqgzY6zrTI5zxb +Zi6z5IfWDs190lnloxz4zua9v0xefCqFNq7KsTGCfDn98fsf1rw84ktzGh76 +dk4TlSJ/9w+P+neOCOS00pihS19VCaLQnQcX5A0J5BT5sCN2dzOVLVAzmlPk +A8/Au77OIdTVuo7jres6Nz28tVNuL3V/O9Kt2+1cITTxzuI7O/4KpPUfQm5X +6JHAaUiRvEc7XkziFPviQ/feXf/5y8R2zcWKf7hHfxlNJbeMCXo1PIVedgi4 +fM4rnp4vfB9CXilUx317x7wP4yl38ILtp8+nUdTG5CnDyyRR6aL+29sXS6da +C7pf7lQwiffXU+v8jlth/R7jGXKn6Tma9nSggTMvvsxeAu/4OfA+3bF5SfkV +PU2s51S3yrOYHb+6Pduqfl/7WMl5ZcImq99jXN+26f4AN/V72wNnL4xI65zC +cik8s148RRsKB3W26jHu1vOOYSdf73Irl0Kn17o06zDbn757V6PF6pNpVLfO +y+Jfv/Gj3zctrfhiqzuZs/TY2r2DRa/6ITzXodZm8tud/eBv3mGUkvefAmvq +xdH4hfW/XfwgjHpNunV20/x4Knqjlsv7c2E0oWKt4iP+SKCNO4ZR8X1hNOP1 +kqiKGWEU0abX9l++iKGvZ1864BMTRrnGTnFsFhjD7aIftIt+MA/MC/2gX/SD +fsvuWXX00qQ0GlP7bGrrrfE0N3p04TUj0qn5uulHY+fEU1K9nKOf1DFTwfk7 +1xV/kMh4AF7CY3O/7Gqhi6x19pTcaaGTula6eGalE+AJeEM/6Bf9oN9spxeu +KGyho2ovvjo90EJXoKMyVrpyau68qUqe+/Tt3922V/S4RmOWjR4wINd9WjHj +9NjyCdc4H+WQj3LnM/YHd8zqS3sOrZzcoVIAbbnVfeKhwr5U+emuT48G+lPr +EZ07FbgaSF0dP7Qvvi2E1g8f2jLYso/Krjxp+mDZVz/ldNn5Talw8qvxVc2f +Riq7vUSkt2u3rE+o3MYRs6/+kEreT85XHfPlE1q/pbUvNUujQVsPTu2wyJMa +Hi140GVgGj0NO9i4+wRP6lvHqVQ9h3Ra+WHQlOdHH1ONas19/v4hnU7ty2jj +m/yY20U/aBf9oF30g3bRD9pFP2gX/ZjLnzh8YYerDf9GPuycmflf910w/gmn +yB8XcmxFbi9nm/Mb5Hf7/YtHtVZG0Jd+Hq/rP3SnwjlafZWjlTtNK+MytUz7 +SBqZ+sWqgg5utOTd6e8bWOzzst0GZt099564J3eb85vn6HKz1yrEm5ro9Dd7 +aWgbP5q73PVI7tKe1KHqPN+/LO1OqFVg55rW7jRy0N3xxZ9HUtjYv+4uSHPj +cWBc30z6tPRjrwD6Iexjzg8nHpPLr/V2lX/hR9UOz1lZ++VjtrNrH/jwbJX7 +Y9rTr+ybvzpH0eYT+XK2euDG/WIcWbbt7bpjokXfGPR88uCBgfTo4rMQGvWY +vsj+4+LbywPpTr+CfXOUekxBrfzWjX8SRL82Guy5uf5janvv9ZyJI4Jo4cEr +v57IreLOKnbosbZFohfHT1+rPO7V694Wu+f6Blo7N5CO9flmyj2Lvr2zxdAa +hT6G0eICyUsuXUmg430XHH/bTt1LWl27z4uSlVXK5zHWcWLcGCfGjXFi3Bgn +xo1xtm5TN2VlWXfGI/AKPAKvwCPwGnXUpeSi5W6U1rfrgj+aR1EXq3yT92M2 +T7zeKU+ecPYTDXTqEvmkn9Ijoq10e8sKg44hz25Z5Un2zH1kGz/7dSbk1Bx2 +kqGHKzkDOgyxI8c2H3J46GcOYDn0OmbmtLO71L2Nh5fNPefUUPc0yg9b0GPr +RT+m41krTrasUTKCzuw+cmB+TxV/u2FoQOnz/4SJ+8MZlPosreJ6BxWPe3vt +87ylrqpxYFz+XoFXs4Wo99ghV6cKvABPWwQen8ybHHzkunp/HXgC3l6UiW7v +3ly9+/RVisvvzinq9w/NAyofLntSvaf+eNGQxjlI3T+GnIbcPlP2r+OT0mx/ +D7W+a9Sk31alUaMP44bciL7P4/Ro33b+tAsWvr6zf1rKhZOcj3KQy5DTwMv6 +5LwOa8f4cIr8BRVSYxp09aFRN/bWv5AcQzl79+/s4e1Nk3KOLNKqXBxlSRvZ +2/2WN12ZdWp9noVxNMLhTduyXSNoVo6Z23eVD6cTb+/vH9w2goaO2dfbo3w4 +x0W/98vZL89SMy31XBH1Tck4GrL8xR2/lWYq1Htq21VHo2nboze1hm7xocWJ +SZUK54mh8DWtK4Uu8KH+U08U+LaEmcb+XNPkks+Hxpz+3XVMlXgaOfenSq+2 +enM9tIN6aAf10A7qoZ15H9ds6tjbi+9jYN7AA+hmcI0yNUvV8KF1TYfujDuu +4gGBF+AJeAGevj29+3advA/o7cxik/ds2cMp8qF3Qg89dqnA93/HmMjt7YHB +LWYFMp8D32s9Z/eD5vsCafSDWnEr6oRRwO3s7W9vCKQuf2wI/yN7OPNB8EXz +mWJPOxYOp4fFf3bp0FPFRTar9Fdxt80pnCIfdAS6wn5Z1yc26d3P9ykpV5+T +6yp70dY3Sx8FN06m8xeiqnT5wYvcso48F5I/mQrcONnWec5TKro5MWJpyXCa +XvRLxyz11HsZHbo2yNbmTwt+bhe8eWmumRqeXPbDyWVx5Nrv90f9fle/oxbo +22PWmQ4JFLmicXJkXAL9mj9t8KUWCZTrh46ltpoSKDrj2suOLRMouVHViMV1 +k8klZevNJvuTOO40fH+OfzY9SKFKfefU+a5rKn3KH5c3/lYKze3VsvC50V60 +Zen4d/2vJtGOn59+2rAF8dhb6Kc2axfuOR1N+fc13J7+Ioy2tzx34mHVWOrp +njLd+2kY7fPKWafBmFT67u9u9/tdiqdZl4P2N7mYTrmCKnw36J9Eajb0Qb+f +Bqt3oEEnoJvne/qNbXtM/p6tAzVok7OTW4ayA2AXgP9X7T+ybvMoH06Rf71e +nSNf1Fe/+1mt2t2YlxUCqO2RDYm3ByVQUEBKtame/sxn1swvPWL0ZX9y/KvA +pcvBSdTtxx6/nnew6H3NCzZbHp5E+bf98+p2oAvHO63Z07jP1rsuNNhl84sb +h25wPsohH+Uu/lq/4uU3LrTy69djLiy7QmNK5f/p6SsX6vn1vINrj16hR5uy +bb3/6Cg1b/Kqw/gVrvS6ZpOMhFEXaf720nNm1HfleJm8ZVZOz9XHhZ7+UOz1 +pLt36MaFC05uy1y4HOqhHOqhX4wD/WIckCMv/tjrMuCYeq8cekaNdnmdpj1T +75HfXdD+9esT6h3wfBnty7b2iqQXOz4Ub5H/3/i8NdtbJvzr33VZl/JFOMtp +rE/ZqsOaVT8VT+uzFj+VfZiZErr0eDHYJZ6GtPXt03CwmbI8Mg3ZPcFC98vv +Pbpg4UfQW6DHFBzRa6zrTdv3xUFn3232TSw4NoB6h/xasP87E20amzX/bzF+ +NGnHxxe7y/jS+SJpb4+UCiXToMXlUs8G8r7CPsO+wj7DvsI+w77CPsO+4nfq +rPsK++zZh/bTBry6TBnbUz919Z1Hta7+XWrDo8v0i1Ojp+/Pr+ZzSNfftt0z +BZroeKLpjwMjAynph1k5VphN9FvwsgGTjgbRjPDEJR3cTLRz4LyvKi0LohqL +Hx5u/9hEWTq3u3zcI5SCxler/tXhQCrR9MAWp1bhdHpQQuXEtep3yrr9PO27 +O00CaV//VYdmt4ykwW8Pjm5aJJz21VsdcKxSPNXp6zPGfYL6PffEe9vX5qpk +piJdShSceDqRDlV4eDJLPTOZkzL/qHjRf//MdOqvA106PkmiFtEJEROLmym1 +x42yK5It+nH5xttX7kskvxwT3QfH+FO5jEL7yngmUi3f489++TGAbjj8un/W +pXiWM5A7le7+WTdvJfUOSIan69sWC5M4nrTOytUFb8314nsbf+5v03rLC/XO +//aR8V5zZydRdvqzRZ86KTQ/y4m/wq8G8L0F6BnwA5yZE+HeKyiVzx9B56B7 +0Dnofov1HPps1/4dhjVXcYXQy6D3QA+CviL1GPgdpg0N79tpyzmqmhQaUXnN +fWqd7cWj3zZdomqFasUNGXSfCu8/0m3WV7E07fH4uIVtfSim18gL9zfGktvv +SxscscjfYhXeZBn1VyL1S3zrEG624O/imGe/W/j4nbyNkpqP8SKX0D6vC67x +oq/vj45ePyOJnP6ZmqVVYTfWd3GOvnhB6w3jv/Bketm64Ma5+B1unI9yyJf3 +UOCnGdbNZ/Ogj5c5Ls910am8D1JdaUeXt2uaXlvB7QRnuzV0dyVf5nsPrXww +ZMG7hpWXu1DlwHOBle7dIZ9HtcrQKBdy6z600eC0u7Rq4/0zKRY5e2tE51aB +FrnrapWzkLtZ809+P8DCh7aeXryph9e/55wGHwJfWtOtyfuLFvleo9zRW3c6 +qt9tPtPjz1zfeQTS6dEzqiyvm0B//7NrUrHeiZS99ZINjaon0OhdjZ4e25BI +Lom/LPh+bRIV+n2Rs8f5ZGpWvtnzBauSqFeOggePP0imAeNM8055pXC67/y+ +Jl7JKfS4dqnG+T1UinzgCXjDuuQZ2L/FyHpX2A8Nv5k8x4HchB81pU3N6yVL +qd+7gp8UdIl902fo2brmOclM99gH8Htin+CcC3TrUSZX1PHh0VRzSJ/e0/IH +UnOX96eqj4mh513+Krk2LoDzUQ75KFf4U7rZfYeLjT2PfPCfMT6JIZMOePE5 +HPYl9jH2Nc7lsE/b+dWc57DAgza2fXz6ysxQ2vk4x9KFh+Xv8FjwkuPHRvs3 +mbkc6uEcD+3til2c27GxScQxx1OXNa2Gmb2T6Ow0/1UOHxUfW38n5pNHryTx +u1pmSrq/uuD6BPW7zN4Tfnp0b5g356Pc+HezqvsWTKAP5e7fet0viXIm3ivt +OSqJdhbIe/7ZuRQas6Nsxuk+STSpfPfkfCXUu/ofLsx6sNXJk1PkY9y7e+V8 +2P6bcPpq4LERQ9fH0LWQrf1ihvvQd4tWvutskQO5Ss8bv8QiF249r1f1+lcJ +vA75XzWo93RMEvt3wpb1zFJt8jEy9Vu6d7HbfYrpOX/u4DD1DvrNK73WnN2A ++gmMl8grFzP8TyVRWPeozaG/elGtlyVbmm4ksZ2Va93QYzWS1O93npteoVuo +m/rdxHHTHy8rUSyJ9ln3Qbi1Xu2RJeZ939KDuhyIn752fhjFty/ZM+9AD5rT +5LRT37xh7FdwOnoi72DnJNZrj5Xe/yjYz5Xm5rlaveBXbrTaa83k8svb0Nhi +He+0feNKTT0rrrmeZxHrnT0CHZ/d7efKKfIXfH1h/6O6iTQ+R9FTvxXzZv+H +4zep0fRlOKfIx33eM8Mebz/9q5mo79YJf/QzM10gDmDjgBUdvmmuUuQDz8A7 +5g08YN7AA+afLb7RzmtfqPfvC90oMefmTfUuLNYN64R1W9cqT6WAAPU7WTiP ++MZ9//7E7YH03Yf9Z3c0Ub8LCrzsnvA88fnu+1Sl8sKvr/Qw0aeQ5PRx99Tv +93au0CHP8w7q/tjCRkPHbj+VxP4P+PUGmrv3njEomRbXiZ7zV5ryI8Cv4NK6 +nyntXCqlrE981aRlko1f4dCqPgXG7rnP44KchdyFnIXc5fc3uvstf/zQhzb8 +nnvYyYYmuln0m8TEdHWPYXTztvnbVormdWuasv3AhVdRvG+CxiVPPBIZxX4j +eQ87u/XcesSYQkm1Nwbw/r9T4KdVIQWjGS7eYtWHcQWiyew4J9v252buB/0m +vbpY+v7fUXTs212zRvVOYL+C/v5kOl0afq2W58E0ercy+/EPzdIpoMXUJVdO +pdH8PO/OZjmkfs/zttUuhd/2phWuY4Wxzq1XnetXKK8PDWt4KH+NhmYq2a2W +46icPrSmXfVU371mWjYmd4dlad5M781rbIjKvsybcsyp8fXAk/HUe+nsqR1m +enM7aPfJDxkvty9T9e5+PF40YWsa5d3sMWTejXQKrJy2c++2NLr16Ze3q6+k +k+n7Y7P6eTtTy6KDYuuvcuLzyHUZEVv+rOpEQ+p+WuOe4cz3Hv7pP2Vx6d/U +u8GIs4k4tskt23FPCujfKesKiz6c5067KyO3ebPdDju+55TiN3oXC+f4jZWL +Ssx4MdRMJY4Oz1XCYtcMtdox8Va7JiT1zfojFru+4uJvAhr9qex62Pnv3i7o +5mbRu8cGNLxztFI8673Qg/e9yl83zj+R6pTu++CLcglUI7VPz+8seknkL/Xy +/llX6SXQU6AnQ29uWeFxuxYWPdjUtmjw8NlKb4EeA70FeszivuX2hlj0o7R6 +AXmudVC/61FjTNU7BdulUcjbt8X27Fe/a352TvaaTTbE0N0Rl1sfrR5NF7/t +4nQ+NIZ+6rm9r2/laIqw2sdY3zsXtzY81MBED150dvBb50lrFk5o1eW+DzXd +3tn5nyOelG7VB6pa9wvkLOgdfAlyF3IWchd2DvTT9jW8z3wsbLGvnJ8UH/Rt +NH3IdeLpiPqBlDxkbXj+n6NowvaMw64WvIe8b3DcLUs0Rbrkj65usUumpfSZ +0fVtFM3u3D992vJEGj6+aErrxCiqXMxraW5zojWNovdH3Adsjwyj8d/uK1W1 +WizdtFg/PW4E0KEpLb4IPBJLK8rEFy2wPYD8HJp/c2armRJXD7q2/l4YTW9T +Z6Dz0Dgq/fb0oQulomn39O+K3r0fS3GpO3KtKhRND47miG6xyExeG84UOLM3 +jN4kly35dkcCjxPjxjgxbugN0CMgP5tl77Nz4cp4SlvVN2ZXyTT6vdewtT/t +j6evu+Z5vXVWOhXJTOMpW89KbicXqt+DLpn9on/V6WF0c1OXiI8Wu6/hgcpp +/jPD6K9dR0s39FR6CfQU6CXQUy41L+DhezGeypZwanphdCr3g36/DQ1ZlfAm +kfZd2/zy4YV0yjd1yazque+zXyWiw9PbJTrcp27Xcn/RN9iB+QD4AvgA+MKw +UUFBd/K7UPPS7a5Mn+dIv5dYu27hC2cqmv9eruN9HlKTTWeGvbbQ3auFD9c5 +NFC/twO+AD6g33eOZr/d6QFlWid1j6FhLq//6VcrmjZ/u3fYub+j6dqoNQmx +daOparGmjZ//Ek3v6/+S1rdJNBVZMjuiq1M0pTUx38xRP5r9wvATV/E6c8nL +Ak8c7v12eNsI1lOht3ZvOf/etZVmmr6mQOynEnGst0I+YJ2gt2G/Qm/D+n8s +UbFl9K005vuQA8hHOezTWsXcXkcXjaaM1LHdnlro8Osm76dVLxxNnv3ib9wd +YKb8Q1dWfFMkmsJSh+Yv3i+QCrd0PO3XIpJ+qvMki1uLQMpWv9bRUS8iOQ4O +djL8iPAryrgzyDHINRlHlnGh48YPl5Oo3u4O2ztHRNHQEmFbcvqG0enTnwo1 +zGEZd8GedRtdCKO+fgUCWg6Np8f95r97sTqM7o+oFfydQyKt/X2Ja3ELfLPV +vdJ/307kfYB9gbg02DuQQzV8Sm8zu6VT7ujJSzwfpPN7QNCDoRcXcX7feI6L +N8vf9g1u19rv4E0N71atPv2wZf18VzTK1UL9vuuovZV9V5Txpu1ttgztXswy +z1ZFX61s7E1eifsOrD+XQKGnVoctrq3erYdcgpxCP+g3rmA5z6QgM/Wt1Xvt +9EjVL8aBfi/VCJnR2TKO11kbtC9SK4GeZ/9tQ9W+FjuECkw8NjmBxhf5YnL7 +tmpcGCfGhXF+sWfSwNo1H7Be3Str5aItez6gmNFHj24MW0j+y7pv39LhAfVp +8aZ3jTXLadbsue1+y/qAZv3hnFFs1T6uh3aQj3JdTmfrOn9qINsx63a0vLJp +SCDLX58iFVvlnx9Iu1221fZqFsF8AnwD+iLiQmD3wg7uV7Tbz62Pp9DBE9N2 ++7un0peHWgwOPJBChU72dpn6PJVOR3f+ucqUB2yXQ7/EOVZ8y935SpT0Zjpd +uHtUsQYffVjfH/Os4bsBRU20reTazuaSkRT//c+5nHOYyMt3e0TJKZHUJkux +O+OSfKhClnxDGr2MpGND9zf5/aUP7a2V0OObO5G0f8ZPDr4NXPie75nOfiMG +lHSh/e1+jmuaz5GOVbox7GZNF/q+Q9YX4dMfkN/lymXXdnChsu06ji4z0WKf +dTt3Mu1HFyp9qWe/Qg9wP/cKnUiYOifutQudbfPPTxFbrtG85ILtboS6ULWL +a978OSSK/BIWNsjn70O3spz0Kjsvir6dXKvvGS8f8rtSfn7wxygq1fbNyA1X +fOjXxWN/mpA1mg6FxCRks8DbRu258vGwA7+zCDsH++ibax1GV6QEfne0UoGC +65KbWOTavMRWA4okkluXI6m7OyRQYvmmbr4WOm215O/uC66q353d59Hk7jfn +U+hZ/0J+ufamUvgPjQttuphC204Wcv2wLpUG5K+zfvmdFDr0wmf6/NapHBeK +ONGVHT5U7hfvz3rWVw4+92699afdH+o9X9IukUyN9mUb6+VPQ2YHuIQ3T6Ib +nQYN6Pw/ft8xvYJHwd7NA+ivsJkXWv8VT0NKV8t4arFLvjdt89hhsVPcjpRr +s8qilyS63Z4WF5ZEBWd4PmlvsUsSazY7/dFip0DvhR6MfYd9iH2HfZgya2KY +w4IztDeH25aKPdS5CPxuBlVepHOBL1+OzKrOpfAdcVbwH8F++dqKl80zP/w9 +z2KXXb+7saRTD3XuDDsM+w5+kFvW89Qb4pxdvlu13cqX3l2a61i1bwBt7Zy/ +XqGyFnv+8oJR3Xpb8Bn8Y/1qNRVfBX5hZ8HugpyrdG5Qn8iN6lyn4/OWY042 +CGD5t/jwFwFlvf1Z/q3y3TVg4Ch/lmsxY58e6pruZxMnXePsyNmbLXrbr3PM +pbZWiOb60amb10x9rN6/eTpr7pbIm1F0M6zS9yU7+jAe4ZeFnxZ+WfhpdTsx +hvtBvz0Lt6p+sGQA8+Wqp5yvnS1kmWfdUm6X7iXQ5tMTPHLnDqArpzuW+v19 +AtuVmDfkIOQi5o15XG3yMv3Cz/407n7rtb8/S6Fmfbb0qvK9Pw31b9x34shU +nifKD+//60IntyjqUXRW01OFUhlvwMOwW7l+bBXnR72Pb384Nmc6lboWXCPi +sh+t6DhoQaP0dMYTysdvyZWSarGnh336ZvBRi31ZMV/T9AnVwjnFe19DktrV +7rhGxRUjzvhm8cabDweYqdqLlI8L/lDlUA92J+xQ2J2wQ3OaTBN6DVN+ty3H +Y6ctdvLid0RPHp+04/BtL+rdd9QvxQslcVwB5D/kPOQ+7EzYnbAzYXfCzoTd +CT74VUyTfj/PdqWtDyNnB645SbP7tJqyZ7wrfb2k0MPi5lM0tUBx52ojXHk/ +780W88/bJq706c+mpvE5LxAFTc137EdXOmDRNquePktTkrrnKtNdnXvgHAR+ +dvjd0Q7aRTtoF+2gXfjB4BeDHwx+MexznNsGNood7nMpkc6NveodmOxFr044 +d26yJpHj0/Du7B9BVX6KyeXN5VAP5VAP5fTfxYmicz26DGucNZx+vxRbvPPC +KMqxv7H32Ozh9CLL6S8LWeTV/Kr7L7XLGc75KId8lMM+qz3xfpYvOplpZS6X +y1fHJFCsX/rNKt3MdPSrBwtd6iRQ2mGzy4BeZi6HeiiHeiiHevC7ww9f7kVn +L/+SCUxvt6enPv1QLMGaJtH9JxNOLZuO94NVHDPimkNKvB5Y1wIbaQr7aRyn +tNoUOSKFJg+dNzW0TTpdf/bnrYljUzgf5ZCPcrDrYefDrsf+53f/rXa+sT5+ +1OdSgYLxdX1pbWDzDtHOvjRqw+lKuxv6cj7KIR/lDH0jiLq1cXD28g2kJuG3 +ri0aE0SFt1Xf0jggkPNRDvkoB78C/AzwK8DPgPfc3ldrvj3ozyQ6+LZpmbtF +k8k1ckGPbw4lUfy547WT0i1635rBex4dT+JyqIdyqIdyqAf7b/HBLNs/PQuj +a58ahcTljaHKE9uPb5YeRvVuz90W2TKGZrac5/AyOYz5/LNS+0rVilZxuojb +nfG6fsiQXTHU371Mxd3xYayHNAyq0elxXTPF13lgrvMgkR6a//2Pmf058a9y +l6wZGk/Duq/9bUWNFNp3cebueQHK/5H/485yQTfiafWmWt9mM6dQy4+5Yiff +V7/78+vQxXV/rZlEkwNWNj88wWLnTMuXcLxKEtPJuJPXOpbJlkRjAz7UG1I3 +ncq1CU7w+CKJ/Rjwa8CPAb8G5Ppbq5yvlvjN0K8c4ilPy+IzN1AAnwOnWc+F +h15v8M/PnonUa+vF5c4x/nR+xuMOBeOS6YlT90+vl/rTn+d6V3n5LpXWpHpu +/b2M+l2CQ98+OX/EQ9l5sPvgR4FfBXw+e8NlE9ufVHYg7EL4UeBX4fPubQtO +3F6i7ETYjbAT2W60+kHgF4EfBH4R3kdOE1+u7xdGdXJc3uwRn0xLe7xpHzk8 +jIrMPld2XakUevtLk/j6g8OoW+TieYc7pVKRc8EPqrcLo+WNrz9Pz5pKf26+ +PjtH1zCWoyHlQovWqxFGca8bd9pdOo280yduq98kjBpFdFvTfX4aBfuvbPzi +2zAakaPIh/1n06nY+fZR874Oo/ONd8fcbZhObh0SGw4oH0ZDL2XJXiAmmfLV +vDbuiW8Umf553mu/ZTwt/U89mOMTRc2O558eTGn0YMCL9VXvR1HlrzNaX+9h +kYceg8tNuhfF5zQ4tynq0bJ8XTf1Th7mX3ju5Rl7M2LpSp/HC6+FJtPH+AyX +DlnMdOCnmkd/qplCJ7q/Pdr9bSydbUY5Vo6x6CEJeTf8GRlLBwsmWf6l0OHM +NJbn/3a1f9WyD2PprmPe19X/SaVZ35nP7fCLpRnT1058dMxC361jJj5ziaVN +bdt/+DI6nbZm71zt+4uxVObohVvv8qTTmkW/VQ+8F0tFVwc97X1M0Qn8evDz +wa8HP9/FVd8uOlBB+VkQB4G4CMRBIC5i/7SF+7sXN1Pebo3y1XqSxHQNOgdd +AE+gC9AJ6AJ0AroAnYAuQCdYR6wr1hHrinVgurSuA9YF64B1wTpgXbAOWBec +y6E97FPsW9Ap1g10CroFnYJuQaegW9Ap6BZ0CLoEHYIuQRfoD3QBOgFdgE5A +F6AT0AXo5HhiuaFLVtmeOwKGX/Js5JrkirnvU4se47MXy+fL52yNK/99asY7 +ExUOHb6i1tgAmmiNO9psjUNaUiUxLfutQD6H2zM+Ma32uUCaVbGfe0ypUJrZ +au+HKy6BZPp5TefwQcF8bgs7rGa5vOULrblHOQNmvXN5dYvPkx7uT7doUNep +frPqHt843eN3vFEO9VAO9VAO9eA3hR8VflP4UY35h1DZW4dK3zrkQc/+LrLt +yMhQOvtDhXHhSzzom8qPGl57HkKnKrUKbL/Pg95VXdLoz8khdP52eIXTtzxo +aIWDg0reDaE13WM3Dj3pwf6fmYsrNF289TJNmfdkxPrgefR9/ln9/3p1mYZZ +46RqWuOm8ixfUcHl3kEK/Pt0J98Clyn/z03v5PPdQVPSnQb9Of4y43VK7p7L +ixw1UWiJB20WVQulzY4vqw/aaCK/QQWX99oXYk1NFFw967jUjcFU6XaVy4uu +mCjv+YCI6+ZgKrX3dtvNZ5X9Cz9Ul4Mnykyc8ZTGeDbYk2V0oNVf+NSaKj8U +/FLzLnaLGPN1NPWot2r9/XdhtGh/nsCbeRPpy1Utb48jM3WdXiJ/94fpNPnO +6e929UmhVI8eHhePpVOhhucbdv8lhfEMvAPPwDvwDLwDz8A78Ay84/y2d/rY +QRUnmajf7pPFhp8MpS9zL/d8ssxEk/aUeOIyNoza+zomHJtqolNd3UK2nQ2n +Pg6Nq4zvZaL3nq+bfH0ljMafOn8sfZyJzy1wjpFnX/2dp1/EUo86/SKbl4jm +fXP1rVdJmpfC5zo454G/GedEONfHOT/OTXGPeXybgukzIs10Y2/tKz+sVveW +cY8ZcZ7VrXGf8MvhXvKloX3OXw9OotH3Tg+afFnFeSLuE3Yy7GbYybCbYffC +DobdCzsY64x157h36z1n2NWws+FPxL1n2Mmwm1dVeFajkTmAHm56s23PNNwz +cKDJVnkLftTVisf6VYz9BH8K7pXL37HYO6jLpd8qJfI9c3nPGzDunct734Bx +Dx32Mu6BA0acCeJO4JeGnxrv91a4eezRwHIqRf7JrpOXNzvnRc5/tE88kPcJ +dXF8E132By/K9p3f7vVFn3A+yiEf5eA3bzlqbZf8MZ60Y1Kb/jcqeNOeG1S2 +y1tPcrvqOvzaXG+qkq3TiywJnhQd3fjDkvpxtPrNoikDlptZ/x+R94151iof +Gr/pl1rP28dQ9aedTpWe4sNxd4jD67X78upyHl7UK652tMvzRPaDwy8OPzj8 +4uBT4FvgU+Bb4FPgW+BT4FvgU+Bb5V2Chw4JMnGcCOJIEVeKOFLElebbmdi4 +z2MTzZ128Oh3y4KYr4HPga+Bz1UNrZ08cEcg0xHiThGHavYNLJZ7XSD1vLBh +eXSrcFqeN2fq2SzhbMeDz4Hvgc+B7yEOD3F5lSadOVPoSSBNzOL995HnQdTg +ZLElid6BlH5w/pGhD4Jo7fAXE9c1VL9DiXM3nMNVuVP9+epG0XQjcurycwuj +adTdZ8Wq14+mNbmXN5vqFE2Xc2c/uLNBNGX7LahYwIloKtfwQdSD8ckU5vFj +2R+3JbHfGX5o+J3hh4bfGX5o+J3hh/7qrEODJge8WH8cVfHbujVa433zvSzH +INc8/kht87byZXow8NOxAuF/UqXuhZ7EjLtMQU/GLqngvYPqXNw87uPYyzRu +ded53ZN2UJGivzYcNN8y35ruY268Uvd6cM+nrcvkbWOWJdOW9A/tuiVZ7LJe +6YnVniZb03gKa+PsvGdGKo3pOmTp6wvxdPtf8nNMpZYWq29KiyQqUaHG24Z1 +0qxpEk33ce2z9F46/ZM3rfiA14n0/Fizl92LWfbXr46tb9VNpLalvx/nn9ub +mtToUfXx2ET2W8OPHfvh4arG1QPo+825/jjXNIH+6TlwegkLH8a5Pu5Jgf9g +32IfR1zoXLOcsycVqh4yLqOMDxVo+vzy0whPmv76QvvOx9W+xj7HvsY+T978 +plP4VVfGf88d79o28XCln3JsPvO+yHYy9cmaMPK+K1X27WVq3WUXbRxp8m58 +1JXOjM1y6Vr7g9SnX6fmU0660pwN9JNLtwPcDtpFOdRDOdTDuVCLwqZE8wd1 +7oNzIJz74Bwo39p5HW/5ubKehHMbnOPg3AbnOAvezfKIHXOUbs3sXDBjlSud +3jzh6tAiDjS946RJ0aVc+RwJ50o4R8K5Es6RcK6EcyScK+EcCedKaBf9LFj9 +wmXjsmgq/8vcK2N2+1DBLuvnXYtwoDXTvUZ0mHGEDm2sUCffJQfatbPmooP5 +jlOD5muWHu3lQHtWpb691v8M/VDo2r3iuxwoV/urhXrPPcF6EvQm6BHQK3Bu +h3M8nNvhHG9OxO/ZTF39qE6X/jephi/VDmty+0BrPzof0qh88Zq+HIdc2RqX +jHKoh3KoBz4EvgQ+BL5UbEynv469CaUvVmXrm22o+l2pNaG9L/82yYP5CvgM +7vWV7/Z6+vpl6vfAqp0P/qtH50C6kTqwQMcWkVS941afT30CKSFPcPmrfSOp +blrXu9t7qnN2nLufDepTfodzJD1aP+J87jaBzHeXNl1417OSioNBXEz3JXfS +jgVF0YKbcTeylbPw9fdN5l/qbtFLWmUrfbaeZX671s9vtymKLj6vu3dn9UD6 +9uof8/1+SKQ6mSnuBwbQ2ocvnI5OiidTlkPf1CyXQC3D+q3LGZBI/2QsnXro +mwTK/uWCDUOiE6l6TdfBYfOS6E1Zd+cJxVNYD4U8gR4KvRR6KPRS6KHQS6GH +Qi+FXgQ9CXoT9CisC9apakpEjzPVfajwrPSTfbbhdzGfUkTB4kWzrnPn8/Wv +yh47/EveaDJNPl/hu3PO/G4sUuR7LaxXMO4c4ijSqW6lO3sGX3dhOwsp8uHf ++6vC6rTet5+wP+9S9siXgaWfcD7KIR/lrlnjMkt0LHdi4hhP5a8t1rDG2xqe +vD7n//DM8etpvHviT06DX2w5kvSY66Ed1EM7J/yvzjxY5x6/o4sU+Tgf6en6 +bd5/VqRwP+gX/ejv2QdQ1YJdnpf/aOL8Ufdu/tOguC/bOVtjsjSMvgj6DaZx +7cM/LXDEvaNAiosf5XQm1kSXrq++dHZiLOWecOyLpfx+ehotvbSz7bzZnuzf +bNzzXdrDJ485H+WQj3KIv5n8seOn70t4UFLi4COVTO78nhTGs2rfm9GdzB6U +/0Chs8vHPuZxBfQaPS+q2mP2ZyMf5ZCPcmgH7eK8COfoOGfFuatxjp1gPb+9 +0hx+YdAH5DzkPuQ85D78wJg/5DzkPuQ85D70XujBH24MXd6gjhf7z/F7cTkn +jxoXMs/M5/o455/85sTBWnv96Ze2cX9HDE1m+sk2ucGA7LMs8mNzmfpLoi7z +ORbw07HdgLPP3dXvpp47N3JWh2JmOuoR7rxuTgDvy00h79pOmxxAldJudKq4 +KI7PaU5u2rf9n2dRXD/l2Na2e8KiaNfg1x/uTkW8fTyfM3076qsNPWonUEri +i9k+Fv6W/HjuSHP9BOX3t87/46dctS74hLHduj/X5P3bz4exvbXvzLu3Z3cq +vzvkdOPB51Nq1b7Pehr0Nuit0GPxu2Tt7/qNKbgmie1c2L1dh83wnrwogEL3 +Fz1QpXQcjwPjQr8YR6F8LVZcX+DP9DHku2kbRx5Tv3eJe9+IFwBea1nfncI9 +cmP+6neevlrbLnGft/r9RNzLg5yTv6eIe+OwO8HvcY8YeivuxcO+xL142JO4 +5w6Yfxe9Ytl8Baek05wqP53Ms+4pPcn6vJbrMnc6v3Pngp/WxdH0S2+P58pt +0ffPDir78rgzTdnXKFfv5EecIv/Cv+7I8y6UmC1zQtT/wN0XrQ+50IaXSY4/ +XrzF+SiHfJSbFNt97Q/fp1Cdia92PNr7hHaV+LCrypAU2rE/376xq57QuMbT +yyzPnUpPO/1e/utaT+jlhH3bytxKoTvjnn5bo+8Trod2UA/toB7aQT208zE2 +I21cbl8KT1n3IXKIJ61u0mZil/u+tLATdZjRxJNuHml260izAArsdM6v07nH +FHRmaaUfvP3pbWKNTbkePf6/urr2sJqyNk4xVIjQjSgmfSKZpykhXkqoNDU1 +TXoUNbmWeZwYlzC+mlCKpzBCQk2E+CoqhaYLXXQupaM63U6dTh1F6UgqE/Ed +7N8+8/hrPXvttd71rnfvtd/Lfi80xTPgvc+aauIJDaIkLXyyD74ucDlbTbvG +pm30reSzcLEO4GKddt/z16008yl8v0HxlWt5bIt+KwcjvY6EbtJ0UJ2fEtbF +4gG8gAfwAh7AC3gAL+RtQR6XxjeblnlLq8k4PPJY9zdPyT1t/ugz66qpMLJ9 +N0frKbkZx1etDqumJzP7XYZpPqU1TF6XFUyelzd5H5fejqknmx+/jbBTXGen +6xfseFtHmabx/wvME9GKOs4dyz0iMoxpOtHVKmTzAiFP0JdzJCFd92mx5Vpi +ar1gUGiX1Un1gcu28VvK6ar+U2PtnE6KD1hzdq2knEzmH1rvf/slHYw4n/KA +L6BS6ahflj/opqy0rfqmVgKKsq8xWXtfTrE9mmNtEvi0NSTWLesbOSXHcD/k +qglYuFgHcLEO4GIdwMU6gIt1ABfrYD/+xj6FQcQl18bxTlx/IfUEmryPDhXQ +gbxWnZ5sIQ0cLDWX7hBQQpRlymSXKjIrctJL1xXQKPsD+SNDxTQhsv+QhopC +7sorMVzkISbaMHvuljE8GmmWE2SR1kjacqPlUgseJc60s/T40EjH61IybIx4 +dKr4kurZNi6N/+mSV+A7MQ3L3vfzVSmXkq6UV1xQbaKYQa8MTi6XslTck0sT +m8ha/HpVwOMqcg5yD4z6wKedW/ecn7Gtjsz9JxwU9fPoDi+85vdddeRSw1Pb ++YZHe6OMLmbr1pPm89zimHIepRo/7NreVUe+Tofr6mp57D6xb+wT+8Y+se+o +tMKkaQ7KeofjVeN6X0TwqSDGs2KqpIa4KrJdc135VOl941pPk4hkf8+VFE/i +0w1+T/ITWS01xO1KWE0KOcFT0zZkdi3ZhwVnhmzKp1iLN7OsRudSpE1XhOPK +fBrQSeo3Hspl+zEO/RgHPIAX8ABewAN4AQ/gBTyAF+gKOoOuoDPoCjqDrqAz +6Ao6Qy+Engi9EHoi9ELoidALoSfCzwx+Z+DDsIPCLgo7aTNzH/o04nDwPwR2 +B+RRA18BnwHfAx8EnwTf7NRbO/va6GYaOmi792wSl9qYuB1dJo4nod6v02rM +M6aV0ket174+ghJqSDqw3yuhiJa8Wzlt8HYJvdk6o3rLiWK2H+PQj3ECm5fR +ifPL2fZ03Xr3NVvK6eQOi8r3psoW/bCbwI4CuwnsKNDbocfDzgm7J/RU6K1x +Gu7cpSsryMzj3juj/hf0t46Fd3bVMxKO0bb69TcZpXnr6N9Y94z+6V7svzhE +xvp5wu8Tfp7w+0ycquE6UU9ZZwx+jfBf0p1VWxMnLKXDRnPUrK2yWbsN7Diw +28COg3GYF5A3sWP6ulxa8P5WsNOxUuIyccVPmDjj8G8jW9bz88hWq5hjvrmU +jRNG3LCO9WO/tPBu0v7cdpFBbIH1pkc15GLf//2eXiHlOOXsvVdVRY6c4epN +Bk/pnKfdnCrzBpqqfS7q/E3lfz3854tIPCnNPlhHU0rqf2ssFtHC7getYYaZ +dP1+rKVrkDfdm22QWZaeQY+dnyc4Hz1BnSHfCW7Ja5hWoa+JOzaHqtXRo5zL +Vd4FQvKTiwQDqrXkcUj1+W6RkNSnfywc56F4nwezzF9oyEiLc7er0vEFlazM +7m6bIWPj2L+cBy6ZyXRS9GdKaMkUl+prHlxWz4De8SFlQvrFvtv0Z/AC6VH3 +dLZF/1sHrmGJQu464ZD61yiFHBa3dI+FQSCXBnduS1OVN7NxdThP8COGXzH8 +iOFXDDvP1pGvzlvPFLAt+tOK5PavHSVkeCX10cvlXKrvfXRHGCGhgApNnuNM +Lj00uhaQtlpZfxAt+nFOcW6h/z+cn7xFqAf/xAbqc4s7PHhJWT/wrm27SvFx +ZZ4Z5J05VyDz085pJJd5hbqHT4uoiMkzg7wzY1+F2DSHS0hfMjw4TxNxye1U +5jT8WMa/8l4gD4b+Bdf9Gza3M62M3AdckloilfUFoZdCTwUfBF+EHgu8wWfB +d8FnwXfxXcR3EvDjR0jaMw3FdLV83nee2WLSvHzriLYCHuwmsKPg3OIcL1Pz +uLtqXAUNuESvG+bXScXlqzaGminrA2YxcTOnmDgat5vWoZXzpKSmN8ma1FtZ +P3T4pcMPHX7pX9aT0A9np//3uoaYCk6n+dpelJDm0PMnl8eJqWPVcf5f2i0U +PtTrkjFazOp9C/y+52aslxGHE1h7ck87rRja0dSwUUbzTsW0fexsJ3WHD/l3 +vWTUPfxqy5ErDUwrIrXdpJd0WUxLDGTm8sPK+oAbUnYO2I1R1tvaG2gbtfsn +ERs3gDxjwPdMfXN2cEUZreVM4teVSWiKuVl7lQqXeIOL1gdfklCfT/JNf11l +nbiFcb69YalcRv9X0Odz+5jhX8p6eCaMPrmXsUtBvwxlrlGHyuaVz8JXPmVU +nLA9nhPWQn0LDZ2DD5Sx80y+mgc4wAN4nZoU2Gn5Ke/hKyOvCfpiyhlq63op +bSJ7lSkTtQzE1NLSn//zvE9+UhsvjI0X0VDHHdPoLY00TMe5mnNORO6MPfqL +3a6VfJhr1IeSfcb3ESNfK+vXOTPXoAPogry3X9cJBJ1Q5yCI+f5MZOajjtwP +zP1fwe8ZuRNyKOROyKGQayHnQq6FnKu7j+RC9RaqfJBpaiJVrvt1HT3gMZgs +v8+3byFu5VTeoqIysv5M9yLW/gB742zmeRQw+/2T2S/wxj6uJzumO1c10WLe +adudBmIWDuACDuDiu+zKzAdcrDPObbvKkTlS8myLcdJxbaWOXlnE0rlS6nkY +7rZvubK+FuKI5czzwnlHHDHiihGHAHkK/yeCmOf/rsMyZNEcCTmeM7k1QkvI +6iE4ZzhHOFd4r/Ge+6ZaF/2zQ0Lq8jOVR0Z8ijv9z6K3ARKyOHrM9veRQvqD +sUd9ya/dRrITfX7l95opZMTU6KX7uLSBV3lRqLiOnnwkarGRkExX3zLRU/DH +nLYMjY1eIpqWmj+Kr7jvYNfo/05HTPsDJ9/nfcqf73vPN/wXEfXlm+lNVozf +9uP0u2cmCklSzLn8ab7kj1mJFyaJ6f+d/W5j + "], {{ + {RGBColor[0.12089266666666668`, 0.1244815, 0.12812183333333332`], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFk71OQkEQhQe9USAgex+AQqjpsDDxrzVBTAxWdjZa6Tv4IHZW/lU2RhDp +qEk0AiZCidHEQq6NifNlxpiw2WF29sw5Z/Yu7h/vHM2IyJauWV2DeZFuJNLQ +5KHGB7qeUiIfschLVuQtL/KVESlp3NP6puY7aZFKbPlNrR1p/jQn8qk1iebP +g8hQca51f9b8o9ZcaHymPR707q7u7bT1AnOs8UgXvJKMxfBZC8ZpJVgtd+AG +Rsdj7sKzGFkN9QUwxf4Tg/fq+BPVM9T699h6TTN2tqyFe3PqR7B9Ehnvqu5L +kXHGp4nHt8HOWorXzFtMDl7wQyu1XcfBP2L0tmI7/8mZNjhvBLvXdn9qKfMW +Hd+xeYvH+MrM0FvxWdwzK+eNjkv3nzm0nQ9e1QvWd7tgHozdE/SRpy/96Ntz +3xL3p+589CfrwfD6yqecNW28ha5783f3JGNzxGPOeSdophdcwJ16nlnRm7tg +Tv0uHqILf8klnodLzfngB73whDy9wIEXWA2fXclj6vGHubR8dsNgNQPPow2N +d+rtVTDsm7xxKLteuFVdM/25C34/GAZvHz51/0bwBM/BOvF3Xoz+vwc4Vxbs +za4qxi+aFpUP + "]], + PolygonBox[{{4315, 1627, 470, 4314}, {4412, 2274, 2780, 3562}, { + 4271, 2012, 1053, 4270}, {4589, 2780, 2, 3203}, {4268, 470, 2012, + 4269}, {3509, 1053, 2781, 4590}, {4540, 471, 2242, 4541}, {3920, + 1077, 2801, 4600}, {4599, 2801, 1077, 4574}, {4316, 1076, 1627, + 4317}, {4574, 1077, 1076, 3517}, {4157, 15, 1896, 4158}, {4160, + 1896, 471, 4159}, {3563, 2781, 2274, 4412}, {3919, 677, 1077, + 3920}, {4543, 2242, 677, 4542}}]}]}, + {RGBColor[0.19245004999999998`, 0.20833063750000003`, 0.2244391125], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJw1lbtPVFEQxo8r7gJy957b+UAjUtj57nxgZcMaXwmGx2JiIVESRQIFUqBg +JZ2tJlqBiQha2IHyByAVNCJbKtFogppoA/j9mKE4Oa+Z73zzzcy9DTfuXrmT +CyGMamzXmC6EkO4I4Zc2nVqXNRaCzezXZXxe97e0bpbN2WjrM5ovaH/d7Te2 +mc+65sNVIazJb03r+ZoQPmp80V1B5/kqszklzGWd7df+a8HuBbmJ1+mYI3Uh +FGX3IxNGrdlFfwv7LXzOf4vLSDGEWc3Dmn/KZ0i+75IQJuSbyaZPd33itap5 +Qb71qcX9TDZJ0fiNa/2i1ngQHzGXNBZl/zJne9Yno/E8Hs0H3wbhPam2NTEy +iBd74oRPvzAy4UeNOXEv5UNo0qjXfZfnAXvu/zhPtMKf/ZI06dLdgOIb9Jjg +9zqanhPRtEEjtHqTWTxvNTfp4LbuzmFbtBwdEPeBovGs03woWs4bdf44Wn2M +ap7UqGg9FY0jWsCTeMteJ+8z0/qD5gfyvynee1PjiP4tsvkk/53yWYq2RyNw +ZhLLcUW+3R4rOb2cWj09ErcO6dWu0Vow7q1eA08Ty+ku2fZIy3t5i31Patru +Tk2PHj8/mBhfYgWv7HrBB5t1t93wHJIbcHij0X1PyPdoNB4NOmsTRrvXLXvO +l51zm59fEo9e4VxMTQ948iZzr3NDs1nP+3BiNXGtaDlGxxavH3oKfdD/ao3V +HH0w770Gl+e1VsMz0vSV1tOavwlzXLanM9OPGNFwKjP7ycyw5x0fGzTa6jnu +sOeM2IiL+Do8L8Pegw8Ts828zsknNQ0mNVjy3kJ7YkDnFa3rqi3/1NqQ133F ++/9vZv1DD6MPuLwFnyPReByLds5bC95Hmb9b9ljgvBztrc/R9NvkkDPOcx4j +eFu1Rq+hITnIe68uem2s+nelUrRapWb5ZjZ7nxAPPYwG9A7fW873pYZDnscS +w6UXqYcerw2wqQliqU5tTW+RP/L43fPJd3IsZ2+gGTr9y6yuqDt6Dg7dXicr +/s0seU0RC3kZ9NygKzrw7v3Mvjl8e8jJuOO3+zcSPdmPeW7A5h3w4dPv+cIP +G/bgb/4ndP4f8W/vUw== + "]], PolygonBox[CompressedData[" +1:eJwtkjsvhFEQhidYu9Z++52vcScodO4acVmVwjWhkJCQKAgSQjQoRKj4CQQV +xboWGnH7A36Aa0sICQ0N8UxGMck7Z955zztzTsnwVM9kiohUEmlEViDSmSqy +FRU5BB8EhgfCIs2eSI4v8kE9kS6S59uZ1vqJSidyQf4MfiJOyV/JdxFeDIm8 +o9XC2Ti1djQawfVoTFCPRUQeyLvIp9EO4PzERE48630kP6Ce/e9vFE/z4E04 +HMsMPd/k3b5h1VCte2fa6km9lcOZpT9J/zk4H85IyGZa98yzer/WOvkdeWbE +PKrXs8B6F+Dccneub7voIMrAJUQYbm+GSBvcWFwkPc3OPHAter8sfJD+OvAl +nL2oeVJvX4HdrTPpbNXOdvtDTxV4LrDZdQf6VsfE9n+uu1nC81WqzRTByxtn +8ZC9wQu1Q2e7LCJPOvOoXtVTKfUN4lP3S0+hb2+gb6EeL+DWOPM+RCTgFnvm +rQK9R+ZbiRtWD8vgPfgPcBvQu4lZj/aq56PAPKgX5ew726nuVv9Iwtkf0b8y +pv/PmYZq6Zvckq8RZ2HzXIDfJmfcVjjl6ge+HzLOKrW+uM2mb7KDlz8cPGGt + + "]]}]}, + {RGBColor[0.2288727925, 0.2508225725, 0.2727220325], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFlktsVmUQhg/0/P/fNj3/+c8GAbm6cIGm5e6CCIhgymXTUtpiLBTl4krB +YqIm2BhZaAGJoG5UEiVx4cJLAsIKQiIQ5FbAC6uWgkIxuNLEBQK+T+ZNWJx8 +35kz33zvzLwzc6a/+Gr7K2OTJMnHJEmd1itZknSXk2RuniTb6pPkNT0z9GG7 +1j49m6X3hN/Zr01DPjWJfYflrGv0rExj5f2vJM69rueqdDp1T5eeRdrvb0iS +dslHpXOxMUlWa/9cGvdvs/4sYdog2SVj5PwqvW8p9K4zL2sdSUOOzV7tt+rs +Ju4yHjBstU3kx+XLEundkPx0FncPy841PYPajxTx/Vnr1Onc82n4Ol/6a0vC +U5NtfE/jXvxYbV+mjYnzxHZY65Ce1jTwdhrP5w2BiRh2OGbEELzo4GOX7nmq +FBh4x0/0fi8Cz4UsMHIXdxI7cCxL42mzv4sVm4Xl8BssYLojm/WKbYvk72SB +7xntT0hnsuRLtP9M8sNNwiPcL+nOAfk8Wed2StZKHipJUtF6WWe6tV+hu8bq +zlOSdcvegLCf8P62ntXgkM63ReR4nNaFWXDtG+2nS/+87EzRHQcaIkbwDFxL +jI3v3I3O43nEeEIeOOrLEcNUa0mPTCZD1dhPyyJ2Fetgo1J+eNd28+2GDl2R +vxez4Oe+hojjSDWwN2sd0vuw8/hxHv5+ovVQKeJJnMnpkHUGJW8sR3zIS2ps +5BAdeFUuh5x8fZhH3E4rznt1dr2+r9PzXyVyjI1blj0t/d+Ul1R2rmh9W3g3 +Or+t5h45GzYe7pyZRy6atR4sRdyPpcHnTj1/Sn++bB2Vzvv4JxzzpDOxGjVE +vsD5hs+Rl5ZayMlnl21RF+SE3kHMv9T5SzpzvRr3w4kN9mO9fdmXx35/HrV1 +zXaumf/sV1pO7r7KAkeXbC43t/H7ggJ8nDxqnVMKTJw92xQ1NakasdrREPzk +rmO2OeTetda9hJ5CnXJunXsCue5JI4/Ieiz/oRzn0Ic7+NdrTMSJ2N4XhmU6 +f1Uxe6SI3vh9Ed87HH/qeqltrnE/wG96zwrrUOttrvcOxxw5vZBYrXKcOuxX +G/3Bfe2FSnCOnLVZRg+hh7W7D9801/CR/HMW3bs6+3cl3meUQsZZ6rTVfFtu +n8ED3uXeN5t7s/PgK7z9Res/leh3+DzO/eFNrW85PsSJHkavo77GVyOvE6qR +tw7Hd0URtT1d9iflgWlXLWp9peNAjx9wHBcUURt/FMGFYWNtdF+jZrmf/gCP +J+aBY7zWRVnIZtcCF3L6Eba7beeW4wg/smrUWpMxswfPnjz4eV72zgvHMeE7 +VwRvRs2ldbbV4146al5tlq09srM3jxkJ36ZI9rMwLRb2k00hu50+tMeeXkZf +GvX+uyJ8wSfmz6XG4M/1IvZnsogTvZGexp2d5ty7uu+w3ndq/cI1Tq0v9QyD +w+3mMzyDY12NMSs3F7HfpHVjEbOGmXO5Fvklzz2OITwkL8SH3FBf9Gjs3HR8 +6CEj5j35PlKOmiSP9M+b1ml2P2/x/8U+24H7+93z6XVbPRfozdQCfe/TLGbq +o3nMwHrPEmpht+uh07UK5z/Ko49vqcY8oz/QD7HNjMP+pmqc3VgNXsIh+NNn +nan+Zzhgffh4wPMRrsFd9HfnkRt40d8Qs4l5QK/r92zgv4E58GsteIf+GnMD +ThArsHxtX+h7e937yDO9j1zQdw96BnA/d9zxP88O7+ECNok1WPrdb4kvMYeT +j2VRs9RuXznuwD555y7qvd/2OQuuecY2kEesd+XBdTg/T3594JqitsjDv5WI +60+12J/Req8SnIAP8JOeBkexfdf9jf7E/x926dn3rT+o8w+0P5uFnQeVhz0T +m8u83rOceT7WueJ/pM//ANiGn9gn7uzJNf9TR8xbdFLP7pO1wPljLXSP+Cz/ +1NQLMw7ZUcuZ3+zfy0O/zvwbzGLOMm/vGyd+ncsingP+r9nQGJx5smr/m4Lv +vZXoF8xYsFKP2EMHO5OrUU8LXL/kkD4wtxZn59SCA72uqZm1mEmzasFD/CYO +zKey/4tOeU6c1vo/xNmNtw== + "]], PolygonBox[CompressedData[" +1:eJwtlElI1VEUxm/63vPx8v0H2qRp9GoRWOBslCEWFRFuSni+ImhQs1VBEWSr +sqBQy6JhU4siKGjRAEWtEqmch6c2QZRpBW1aFbSIht/HaXHgu+ece4bvnHtT +ew9uO5DjnMsgEWSx59wewFdwMbjHd+5s1LkmdOfAw0nn/uQ5txHdSuzPAuc2 +YPuO7gV4LGm+ldinOM/hMwmum+fcLPgE9tKYcw/RdXCekj/nNFJJ/FLffBs5 +l4HLibGT2CW52MCjoXNPE84lsK/m7it0kbhz9dx5Ca5WPGL/4E4/57uh3T2E +zz1whW+x1WM5+DySg60P3QXwce735lqNcc6vibEjYjnegIuoeVXUcijXNWQ9 +vuuQIvwH8dmC/0/yD4OfB8bNL2QcfAafJ/g+Rk6Db3N/DFuKeEliF6AjvavD +XggeCizWduw1+F7HJxs1Tm+Aaz2bVROc7KO/8Xx6A/dz/zL389BN5RpnY+BK +4u0mXhz7sqTVpNqqidfP3UXcqY8ZB+KiK7DeisnRCR5B9xf/38gE5ybyH+Vu +H/4d2N4R4y2zOAJfx0LTySaOiol9xbfaxLm4bw2t9kbOCXB1YLMURzXgKnwy +4AY4HSTWBDKN/wz+tfivJf83Z7pPnL+EZtPMPoP78d8UsZqzxGvGv5N6s/h/ +xD6B9CaMo3hoOZRrEt0c57eB7foudFlszejS//3F7X4kk7AaVEs7cjNqnNzC +33G+A+5GWsEpdLGY7XQZsZdwjnKOIO89m4lm04B9OfahpNWSpqf55GoPbZfF +sbjeCj+HYxbjA/dn1FPCelbvs6H1qp3Ubj4IbTYrqP9+aD2rF/XUElpO5d5M +vKXcz/dsN9WTetPMNXv9AfoLCjx763rDestrkEyecTpOvC7qS0fsD+n2rUf1 +Kg7ExULfdl07d5XzRd+47sH/km9/hP6KR8hJz96M3o5yKFfKt1r1hvSWCj3b +ZXEu7ls8474EWQBu8yy23vAI/A0E9lfoD9NfNpBvf4F2RLsizsW9ZtwW2h+l +v0o7OU2+U57VphloFtph7bJmMKDZBfZ2xcFo0v4s/V16w3rLFYHNQm+yCvwP +Zt66VQ== + "]]}]}, + {RGBColor[0.2607944475, 0.2865273075, 0.3089483275], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmgeQlVWWx7/XTdPNS/2+B8rqjo5IGgVtUBEBQXITlKDkoBLUKTGQRJwV +xQGRINASRpKCoOOqJNOOIiZQwZxnpzbozAhT5U4pajmW6zpVe378/11OVd+6 +593vxnNP+J9zu9XUGy+9oSJJktWVSRJ/yS3NkuTZpknSJpMkvXNJsjF+t0lU +bzBNze/vgz4Ugw8EfWKi+qD73NtMv6Gvj/qGKFWxwNPVop+KekbU10XJRvvu +avWjz+PVat9brf38Kkq5Uvu6xfRej6+OfS6s1LrsZXPU/xGlmFHN76tiD7ui +3h1lYaK2LVHmJPq2Kejprje7fUdO4/m+pkJjZwf9p2KS5GIff456cjZJ/tN8 +4Psezz+tSewrvp0e+1rXTPRNsZ+NOfVhvi+8/+Nnr4m5gr4y+jxu+pmgnwj6 +vhh7btBXRb0pSu/oP7iQJBdFfUIa80WfLVn1fywVPTS+d65NktGxz3OiLkS9 +Idp7xZgB8e38qCti/ztTzX9xtA2M0jXam0fbg1E2xHzv5ZOkPtoviPa50fZw +qnl+m+pMNT7j0NjDPbHnIVE3NBP9cfDh+Vj3N0Hvj3p9M9H0vyX4MD8nOfqb +7xh5+65ad03bzfH9WFZyVO95P7bs3Wu5alxvXEbzw+uO0X56hWh43rg27ex3 +vffwWDPdN3dNG98YMyon2UB+djZTP/q0qtC8bTPqB82c4+P35RnJ4Tfxu0/U +raKeEXXr6HMs6KeDviLKhUEPdf+zg24RpTX7jfK1xxzz/lt5/m1xT61iv93i +HrbF3p6M9vqMZHFaIrmdkNG6dUGv8rrtop4Uctg6xo4Jum3Uj0T72IxkfJNl ++2Dw59RoLwc9ICMZzEaZE+W0aD8t2r/j7mP8/ILk9mcVOu9lMf/DQV8WdH+f +sSYj+UWmkcmfV2ie1hmtc4rXWpQRfcTnvs48+SHu4X7L87yMvtE+Jkp9lEFR +Xoi5e8bY2+JbQ/BkSZRFOfFitPu2j/2eEmUK56lKkmZRxibSv2cqpKfNzXvu +i3vead283faCPk/ZLn1t+/CY7cDInPojG7Pdf1bUAzNaM5+RrqKn3P8NGfEN +GRgcpXuUHj5PN/9eHHu8NnjaqYnsITxh3aZRXx/lr4l4fI75XO15v0rE/xss +Y32DwaNjf73LGvfPsW4H1ot6gcdjZ/bW6L7PDH6fkdW+5not+q/0/X0e9KS4 +++viLLeHLDyTyiYdDPuwKuzLCyFDq2t1Ly/6bp6Pen+UM6Lfvqifi9IJu5oV +fUaFCt9+ldFeGM+dPuqxtCNHu6IMSTQ3fVgbu7fb7fR93nM+mDWd0VkZ2yjX +rIFsb85qPGORtScsq6z3bNB9o55omj2vintpWiN9mhr30jLozpbDvd4PMv94 +zU82/Am37/I+r/R8+zwnbXu8LnM87v5rm2j+NVF3ifr8GslD/6zocchMjWwi +9vBw3MuK2N95wf9pQS+IO8rE/bSxXb45I3vcYPvMb+r2bh/qedb4bJOwLXGv ++bxs9KdRPolyWayfi7aZednmF0pJ8mX0PxD1jdG2J9rmRcnm9RuauS/2/JN8 +r9+ia1Hv9B3dXK1z1sX6G+McJ9eIB5y1i887uEZnZh5sPWfHvv1PrH1S0J8W +xLN/8r2cbJp5GMd4bCg+jbXZCzLzqPdA/Zjpeq+FnQSHgDMabTY0Ogc24Ru+ ++7aSMMsZsYfvg0crotyKjMUdrMJnRz09vl8edKdK6Ri6Nsh2Cnqs6zNNn1Wl +secwf4yfEfXJUc9J5bvLUS+N0iHOt6+oNa/0uvOj/eqgf5+X/YHGBnXw/INt +5zuYpg0avbgi6gey2i86uj0rWf0xK71Fv/4t5n8o6HEF6dlDbn8yVf/R0d4/ +SpeYo120dY6z3JPV7245YSbw0qxUPHkr9nlN0JfEWXKpfD6yBp7cmmrs/VFP +iTlvjTnODnpC0NcGfVLQX8c9fBNleOz/jox+Q79VwOEnyfslyfW0at0/tgmZ +w85MLgk7XlorWaN9nPEq9hfbe0FJMrUkL3u82/KwJiPfQJ95+OaYZ2ytvu9x +H7Aufe7JCPPyG1kZWdI+juW15nyv+05Je3+lJD+Lft0Yv1+L36UY16UgH/KF +218uSQbrCsKSX1g+seFgKDBVQ+zpJXBYrfAV7aMzwln8Bku/UZAvf7ckzJap +EUb6oCT67fj+7yXZwN97L/C5Vczzx7jTurzkD3+Oj6cdPLzLvrLRnn5jP4l/ +nWV/OtsYZouxN7hrvfsje/B5grHN5PBnw2O9C6PeHvUDOWHqsvUCbHtpTr55 +XYXw0Wyvtcf4H//+mGu+TfR6vzCGmmAMtiQjDPYlMULo2NHgTxJ12wrZ0PbG +M7MyOi+yN8I0fADfgHPaxb5OjDI5Iz9KO7gjrRRuAhc9YfuPL7grytKMsN/t +lYppWgZ9AjggSrD9OJ6a47ENGdlEMBI2arzpBuNmvm2NeT4z5vnW9wHuubGk +bzcF39qAGSuEJTgf5zwrkR3YZ9+Kj8B29ouyJaca/Lohp/N9F/TyjOb6ylh0 +dUYY8u6Qj11VsoFj3d7OfVkLfnaOb+0rdBeco53bl7JWlJ5R+uQUl35Sqe/j +jX+4//WWmftzwnxgsIvjEnoho2X5HOw8dqBHSTaha9TzM1q3zvhxurE1PFuZ +SF7XxRxro9RHKZV1rz0KslUx5XF7NTPa3gc/+nyrfEZ0Dp1E7+DPiox4C57f +mlP/evsc+hMXVPm+vzRPwYqLo77TctXW8/Adv8TdY3NY/0nvAVsBJsQmtKuS +jeJMixzbEkeADcF7YExkc7Hnb20amcW+ou/ofV/rMfJzmfdD35U+L3cNL+db +p3o6h7A5o7hklfUL2UEWG+MfdIJzf266VSJ9PGZ6v2UQjHbE/KEfsWlX3/3w +2PigWK9LWTafe57kOdgf8xATwBtkY551p531aLz1+m7zFh63lBtJ4gjJ5ph7 +U5RhOek6Oo9ZOOCYFBlYah1uY94sNn+I6W7ynAstW8jVirApnwbdt1a8aGFd +h9932J7g916NPtlE+7rb8oPfxpdnvR7rEiOA2Vf6LogLaiw/Yzy2rfVuuecB +Jw9wP3IsSz1frkrxDLzCXw70Wn+1fSRmwUYusb1a4j1AE38QS/d2/Pdzx5Lj +zGv4jPw8/A/x4BHfKfVR3/EjtnWMbd4Yy2YUM7EP9kCMe7PPwr0c9Rz44d32 +ufua6mz4u+t9PsaTI2mIhabGRb7SVPEwe7qgSjZ6jmX78+SnuH6eZQb5nm99 +eLGpdJy4ifnneo37crKVq3Kyc21sV4c5flxbIZzciM27W+d7mLdtreN9vBY2 +CqwEL5Cn1eQ0mggrksOodh5jnPd5tu3GIp8BbNfJdha7/qzjLLAy9v1fMrKr +bWx7T68SRsIP4RvBO+gTPo2+39nOr7Sedc8J57WM76dVKR5BdofYFzEnckwb +OnUo1pxpPULXWAc9wm4hu9h24tUFlk/iKegh9t2/MP/BZjO8P/S42mPBX2AI +MFi+qWwi2AncRcyBXO913IlsY4u+8V2ja8vNf+R6iWUmTeWr+hTkTx51TNHa +/pU5HjVf+Z217oDtdzkWbNQ3anD4ycb5EwuS+xbWhVOMp5Dnpl6/m3XtS8v/ +cp8VmQEzfuHYZGRG+gBvkZ0+5hV2eIZlmD329T4POmfLHUwsCX9cU5Dutrb8 +NLV9auE7bGnb2MprHTH/GxplryTc++uod1bpLpDheutcY07qEdsHZGyN75Gc +Db6YOKkxx9HD9ph1kRNksJ/lkNgAWzm1IDw62TERMj7R5yQube0zMG6Sz97L +eRryJ3WVip/RxzdKwsmHS8LR6PmyaP8oq7zAxCaSR3IryCQ5EmITftc7l/ii +7RUxHzms5dG+LMqplZLBKZYP7nKw+z2YUw4aLLPfNnmUZWaw75qYccw/zAsN +frnTthW7emeMX+y8Ifcz0vYRvcO/EG+gO0N9X3eUFNsuKCk2zFpuBzmG5q6u +sG7Cqxk+Kzr6XKocTcdUfmaMbTLxDfpGzAMuGmt7zjzwnLENsdZ5ecWyxO4n +OZYHM/6lSrKDTR5nu9wjFe/fjbu+OlV7j6JiSOzj6+S5C7L3r5eUI6Edm0kc +BZb5WfTPRv/6aL8qlQ3gPriLLs671NnWshbn+Yz4M+a6MMYeSSUHR1PZFvLs +8ORIUTbmjThPVXw7QB7SsolNRG8GxuVMBk9G3Sl8/6gYWxf1x3nl+m9OFY8R +l70Z+x2dauzW+H5urd4YPnA8mPe6YL+WVbrr6qLo5dF/eqo8TE2qPDL3+FYq +PnJ2ZOXNvGKZa2JcVfQ9r0r5LnIHdVW6I/QVX4lPJL9KbA+egq/wBD71LiqW +HR57Pz/KFPI7JfEPfYGHLYuS/Z4F+S7yPvgfzsQ9cUe/S7XuidF3VlF9Zkb9 +kvNO5J/gI/4FWzCkoLzeo+QMHPMS+5KXwf8viv7LqsRPzkvMjI1cWNK+Jvl+ +GyxnnLFjUf2JjydFv5HkAYN+OdYYEXRV0CfE/Y0KuuzcG33YD1ibduKHSwrK +M+5Cxio1Fh8Ibu1QJR9Gzo7xo6IeFHNeHrIxOOrLyop1fhN7GV9WXDuxrAI9 +jFxvlC3odtRjysLaH+QV34CD0SPkAHn4IeZ/vqgc+PKi3lPI8x1/r4t1Pnes +yv1zd9jC/UXp4HNFvXfd4rebBtuWqV6bPQwtC/eB/7B7y4wDiev7lYUHB0Td +P9qmGCcMcPvlwadzyorxOpdlO0d5nh7k93Oy58g36xK/XFLWPIMKimkWeS2+ +3+m9Lfb7QL39DHLM/eLfwDf4u6QgnsAb8mrExQvtE8E/vDc1KSvG6xp1Whav +zi7r+yfug9ElD5gpC+MjB8gAuSHocVH3i7WuiP0MiT5v55V3mx338n4qzHpr +SbLzsMciU7dbzpEd7Ajy88uC1iaPhXywh/VF+U/sJZgnce7i5KJwH/YU//uA +35V4X9pl+0o75yZWZO/wA17Ah42pZLUFOlErvm0jH1xSH/KR42s1dne0Ny8K +102P+qKy8jK9oh5R1n32Kcu2drL/I54m7wmu5A0S3bgpVVwHjY6MS5UHHx/1 +vFSxH++T2F38NzaQPMAFjgd3pIr526fyUfhlfPRVfkftZduGD8O+XVRUH/KL +7Ota741+vY0PeIO92uPRUWwgtrB7QZjhrlrl1m7xO+bfs7Jd6+17sJFg+gnG +Ds2dx2TdW1Ph+PXG4bzZgZOQWWw99vGkovwGvIJnH7odnwBGACsQf7HXi3wu +crqXO6+7IBVG4T2Hc19n/81Y4qNRxiI5v5e9npcODYv+d8caz0WfFbXiDeeG +PwCyfY6tyLvknHvBN3RxvM29nuOY4QrvBQxN7FZnrIV8dfZdE58gr8gk/Fhr +ngyMs9fmtD7rZL1P9sc+D+eVq8Xm9S+Kf/hWdJ65pzv2IU6a5jsh57nfZycO +Jx6fVBb2BIPyTgpv9rkP9XOmeXfAxhI7jXX/Ma6zHvtyXm8L21Odgb5gT3BO +S79TEHMSe4LZwA3gh5FF8W+meXiq++Cnlxg/YuuwQ+1stycX1I6PXRdneTX6 +r426zr5nenyvrlGsy5pvp3ofqU419yueH1uMTf4K+1RUnPpj0K+WlA86GHUf ++3p8/khjnhfJqxWV6zoU/e9NlfvbEPWfU/l33qxY51WvNaIoW/Vu9H8tL0xK +LhyfjB9CRt6z/34txr6Z1VspOrolVQx8n3HccR+fkVwif8ghOgof+b2+Vvj9 +nbzsIji48e0AmljpPfPoD7HmRyXhoY9L8hlgptbeK3veURT2ZG2+8TY0w/+7 +MtlyT2xC/v96/9/Lmri7e5zT5Pxg0VZe/6jjYfQbfWE8PKizrowoCU8PK+n/ +UJBv7AS2vK3xOTYIW7Q06rEFvYk+ner/L9b7/zHAOswHPqcdHSDnD2+Icchj +zDXNXfLG+7xlHixJzoI1xhT0NvRUqr4vuf9dfpdHJ8EMG/x/MuRQ1zk//4e8 +fAE+gbZBbifHtt25fXz6Dvvujo4vnk2FAbY5d4osDLRN6GofvS1VbnWbx67O +KRezymP4hmx8mBduAUM96Hws/fFh+LLDqfJ+vDtgF8jZkLvh/QB8QozH/wAM +cm6Y85AT/tJ54SuL2t+UqA8VJCfEHOBafM+/pnrrRKaR52rr47RU7xvbvS5y +j2x/Gu1/TMVj9OyssrBRx7IwRXdjqm6mwUu9/f8A/cvCrGCIg6n4yxr4+eHO +a6LnyGd/z4MNIwbFjoFxwSWzQvYeirYWeb1HtLeffShVrgs+H88LOfdFvH1K +Ubj61KivKsgWYZN+7fzAR6ly8WDWbqWf3hiY51zjxfPKikuJTz9IhemWGO/V +OMZ5N+rPioqJjhZ1nw86ju7t9wPwMViJ343/20aeGvm833E3593qccgJbwg9 +Pba/dRe5gcc9zOezjQlfTyUnI81P3i96uf+C4Fmalzz+Dh7nZSc+TGVPsIXv +57UOWH6H949Mss/e3kNP74E9v+P3fjBInd87OkX9Gj4iL1wPn+6yzyjltY/V +nmOp98a3ZeZnL7ezDue41GfpZ9vFumBz+uMnqJebBheCD19JlYtHN84vC9PD +/1FlYUHmnFCWL8GnHIr66oKwLvkn9txgG9LN6yKTyOkm6+Ag25N6l7XWx5Gm +sSdgVrDFA6niZ+Lol1Kdf4NljLnXeP7Dzvn8KRUWB5PfXlLMD277ZSq93GTd +7O+x/dy22e28OW60fm2yPWPPF/ods2dZsQlnRJb/O8ptednL2rLi+WbBj/9N +RdPGmzF5lH1+h//R7+/4wL87F3xmWbED/7fVoiy81Lws+wgNbptbENbnDXBR +QTJCruJvUf4S83ybKiY85rd4+NPN904c9r1za/yPIO8s3UvKt3WzLhAnE7cc +iHn+Ly/ZOY4jLE/cEWf9r5zOO9x8427n2U5jN7Alq31H/G/jD/7fsGH2g5dG +/f9udcz7 + "]], PolygonBox[CompressedData[" +1:eJwtl3eMVVUQxs/y9rHw3rvv3XuFIEaJEkUR6YjoCogSQYrUVUBWpRs1yloQ +Eym2KKAUFUWKdLBgiAVBUClSpUhVEgugQqJ/oDHG2OPv4+OPSb45M3dmzjlz +ZuZeNPz+/vfVCiHshsqhxUkIzbIhXJUJ4cYohGHwW8CNCiGMSkMYVAphEXwT +dAaDj6NzXp0QXoWvKYYwjbUNtUNYD00FL+H7pmUhrEJnKXhrHEIf+F8rQtgG +7o/OZOw15vsB4HOx0Ri+DP2DyL+AaoOnI9+Hry3E0RxcnSc+4vkR+bl1HINi +eQwfd/P9vdAE8EBoAvhCvqkCH4TewXdPYtgPfh9amgvhHyiDvQx8e2x1hR8E +bkg8I8odk2J7nbWW2OoMfxP+1sN35AA38s0G8N7IsX/M/p9nP8fgG9ZxjIq1 +DB9/YHsk8Q9G1hWbrYN1fkJ+CBpa7j1/CR6JfCyxnmRtFLgT1CN4j53B66Fm +yNbpErHXCL4D8c2EDsBPwsZq9ptFfyJ4K+fXGtnt+O9OLJMSn9U9koPH8H0N +/rYR/0vE/zT6rTC9hJjfQ57APwHN4fsZ0C/g6/A9FTwMe82ga8B3QDfgvwZ5 +HnoE/pW67Af5YvAxvpmGr8+x2Yu9Xoz/feDuyjnkXaG26L7L2mJ83wHtxc5u +5APY7xT2sJ/9VEWObQM2Lke3ULBP+RqPjVr4aJ/xHrSXlazFBcc+HarBxsCs +c3octr5lrTPy09gcAL3AGWzlLCqwvx95JdQE3R+hhPgeRPeBgn09Co3VeUA/ +57znluAWUDX8nVB94mmQ8R578/0eYr5IuYT9vYlzQrlRCTVHvpNvh3MfT+tM +4T9MnGttWVsHrsTeoKzv/IKifR/LO3bFUA9+BXx99k8anHmTepsBG3vwtQN5 +FbY2sTYL2V/YbKDc4X7+BK9BfiT4jkbCv1hybuhMdDYxa62I/3Z81ST2leOb +cWd9KlfWgqvLnDOzifHbjN/8XfgfkXjv8iFfyxPXijnoLwM/BHXI+A4fTHyW +32Dnq7o+03bwx/M+22lQA/jtedcs+dxTcGzKIeVSG2KuIvbh5FALcEe9GXSf +kQ3O93P425AN4Qy+R78dOtOyrgGHIr9pve1PoOkl1yTVpsPY/wH979hfHtkl +2FwC7oLNjcRRhf3rU79JvU3F0Jrv27PWPW+do8RaP3FtGY298eCxRdfWf+FP +I9+UuJY9phzC1j+svchd9VfeYmsZ+quQn4I+An9RsK250Bt8ezJxrNpjpWo7 +1C/rGjkCe+fzTZxxDdjNtyfhC8R6P/wP4AcSv8XWyn/wAmgGfBv4S8BzoOdy +zgnlxl2Jz7I3/saoHhNjl7xzYAB4AjbfzvqbV5RLrHVCPg9/B/D/G2unkM2E +rie+NfDLcu4pm5F3RL9P3mfwN/zg5GztJp+6YLtd6loyH/1DyLcm7jWTdMbY +exN+Xs41VbV1Z+LethD5Q8ivg6LaPoPvi84R5Yre5K6Ca55qn3KoGt0hqe/i +JeIZLN+p71418gbwIt0puldCXdGfWnTtVk1UbdQb11t/j7Vr1VuLrv3qmdvx +d1Pq2n0p36fgHqlrrWqKaku31L1RNSoGX5G6lqgmqzafA5XUO6EvC7YhW1qr +l/pN6G0MZL+tSu6J6o3LoQ+IvRb8X+D50FvwG4rONd2h7vJT1vqCJ2JzFPEv +ZW1WmXNSuXlz6rNRzvdJHYNieQr5ncgPFnz3ypE2yIem7hW64+rUb0BvQTk3 +H1+r867pquWqOT1T37VyqBd4RslvdSBro7G/Qjma853qbrtEzmXNPK8im0w/ +yGU8IzwOfjJ271wD/5TmFWh8hXt+v9gzhGYJ9dgD4BPQ7xWuqcfBw4re2258 +rsfXgdi1N1VNg98V+W2oxnyH/sORc089fSy6c1mbnvPMo9mnKfy7fP8aa70j +vzm9PenMA9eNXLuVY+Xs/z/1vFrumVcU3SPVKzXz3ILuxthv+zQxbwK/XHIv +mMLabPDhxHvXHR5KXNNU29SzFqv3RM6Nj7HZDPkoqFu5e9Jo8NXYHFHhGacD ++O3EsSuHlEstlLNZ18wT4F2xz0Zn+Bl4V+Jeq3r+ZGQf8qUacCt8PfhOGd/p +StmGZuU842jWaZL4rWltoWa3knNbPuVbOaHc0Mz6HLJnS55FWkJTwI9oTzn7 +kK+ekXN/NTFcBn9b5NlJM+Fa+PHwKzOeKeqzv08L7tUL+GYV8h2xZ1/V2O3g +XpFlulPd7Tb02/FtFv5w7Jqt2q0YjiC7JnZv1JlW6r4S9z3NlAF/V7I2rMI2 +ZGt45F6hN7k5ccyK/UzNi1xjVGvU8ys4iyOxfWsG1SyqmjvzbG+Vr2OJZy/d +8Y7IZ6Szks/26D+c+N9BPXtc4pxX7mum1my9JXau6Y1tBo+JXIvVg4bq3yB2 +7dYb6ws+Gnv2Ug4rl7/Oe+Z69OwM8D/iM5s6 + "]]}]}, + {RGBColor[0.2927161025, 0.32223204250000004`, 0.3451746225], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNm3e01dWdxe+9r/Levffd31UythljVhQFNYBIUzQgYBcjNqLJBEEQQbDF +scYKmNgbTbGjIJo4mmgQNQIqYBtji86aWUlULJkxmmRMYp/9YW+X+eO3znnn +nn6+ZX/3OW+bY2YdMrNSKpX+q7VUalG6f3epdHVXqbSnCld1lEofqrC7XCqN +rrn85qJUukZpo61UWq46kztLpW17lUpnqM6z7aVSH+WfUfqEyh9Tvqo+j0md +iUoHqZ+L1f469fOayrbR11ttr1XZ8fp9U413k/5eo3Sg2r6g/Haq83zZdb+R ++nMapdJvVedy9TdVc/5Bt9tM63Q/16rO/YXnOVuTGKbfCuXvrnh+9Hmj+j9M +ZS/rt1eUn9Tpud6lOq+p/Usqn6r0bX7Xd5zyqzTPWWnTrJdKOyj/WNX1X0k/ +M9XHdH29VFZvd/sd9f1E8zlH7S8pPH6frGup6pZ7ec/p96X001D/fdT/w+r/ +cKUvpnzLVo+7hdKdtP7z1efl6nN2q+c4ouR9ZC/+ovxUpcd1+ry+rnFe1bef +8kcoXazy3dXm98q/rm9h2f0wf/o6pstt2c+91ef2+h5VfmC7++EsSF9Lfpvk +Gecx/f06+650cOH8VZrvrZ0e62+a23FtPsdPlF+hcWsqP1/5+ZpfVfnH1ba9 +y+U7tLrd79N2N/02Sd8W+kaqz9+o/NtKV+vvX6j9qSX//YrKH1bZo5LnRyLT +nNfU7NWPNLdZGuNcpVM6vV/XlL3uqVk75dOSv1ayt1r9XNVw3y+n/8sbHuNS +pW9rXSv1/Uxf7y7X26PidVSzxktb3LZW9u+/SZ3ePVqb9ncTpYvUfqHWPV/f +c23e36eZu357Su3naD9nq/wg/f6R+lyv3xapjytKHou9Y7y2LufZwz5d/ps8 +aWuX9/l6zX2B2l5echvOgHkO6XR+nr5Z0rNj9B3c6roL9S1WnRtI9X2t7L0Y +p997ym5D26by03r5b+Z2Q8ntafuOxn9ZX6fGea7sfii/vuJ+lys/BR1iL5We +orSq/sfpt0O0T3PaPN4G7Xtv9fGW0gObpdLO1JcOPS79GaR+b9T5rla+L3uk +fN9Wr6Ohv2doTaP0devvN9THp5rrhyWvj/3ctPwPc1K6e4vr7qy/70o587xd +/T+ocedo3DfVz2e93N/irIU+FmXfrih9dTaPx36MbLWOI+dvRB83a7EdGFqx +nJcjJxs6PcZpFaf8vazV+TdSzvj8vVTlv+1yHcqXqL/t9d1Xtp1epU/LL+0o +eTpP9S7T/kxvs4yhv6/FbqDXF6mvC/VNK1sWKRuq9MlO94Ptfws7hQziU3os +u4u1J9M7PDf29u/IQ6t1rUXjDVD+ITWY1WkbumWL9Q+7RZ1W1RmoOkcrnV+2 +LZ+ndIDqvKuvf6fnS50nyvY9zGGLkm3/cS1uc6jmc4/Sw5Q+rDm9oN9ur1uO +hkdu16TPzdR2r4p1BDnBnxzb4jmdo7Wc3eG+LlPdS/W9o982k+y9p3RBzXZ0 +RmzpoHaX36r87pwVcoMs1WxX/1XtbtPa5mmsW5Ue3nDfX2ght6j+zbHVl/Sy +vCF3m+nv4foeUv6AHtvgC5Teq/Rn2F2V7626Q5TfRN9QjbW1xppZWJ8Ya3iL +ZRPdRYa7W9zn3cqfUrGeDSvbh+Mf8fWNwv5ygdJKxtq+5JSxS/pq+n2N9mf/ +ktPVyS9Tm58j71rXcqU/1bdz2ftH/9jlG1X3TO3Xu8h23X50Q92/T8ocJmid +Z6n8yB7XJY/tuid97qr8efER+IoZ8cuMzZ7eE1k4Q2UHarwHVP497c9JWv9E +ncXimn3FNTqHhv6uSkH2plx1fwiGCf45Nrhlx7Ltwccat7/Sb1WMYe7U73fo +61exv72h0+e1o/7eSV8/tTtB/e3S4r+xLTun7bdrxg53FNavtZ3W03/vcv5J +bJN+O0H5f1M6V/I7p9V+baTmPUNz3Uvpu/quxQaovw+Q5W7v7YVttoP4gk/V +5mbOOZhtYs5iepfnxXx7N9329JrXPTlnsV77uYPm+QP9fq1+G6Kz6NHejlab +wWXbEPznlGCSpurV1c++TY8zOeWTuzwOvuyXmvN/IFfq5xr1OVh9/nfhvQRD +9FW9ovA8Tlb61y7brgHx19gW+mTf70j9BUrPVZ0hJdvdPvF/q3L+yOcZ7ZYn +ZAk7NzFzw1fjs/Fvbyr/kNIVZfsBfMcf9NtBGuPkinWH819c9jliV8BD2JZH +4iPJj0v9YcEbYOsvcRoYDbv6YNlzA4cPbHqsF6rGPb9U30+CXZHHLuOTXbVf +EzT/wUq3LSx/i5Wur1jmwU6c9UVa83ZKR+F3WjzOkMK+dZn2++ftxpobgl/f +Dgae0uEysOuL0a8n1M80zWtdm/fhlMLY8dTCvu5L/zlCv/1PMH5P3fZwvsZa +2247/E7w7zvB3tjK/w0+XK06J7Z5HugH46Brx3c7BqDfflrrJS3GVJzjgvjr +HXuMFXbqsa7MiB2ogY/0rSgZr01qN+ah//7RwQEqG6fvqcgiMllVOrZivAW2 +AeM8njy6vGvV+sz4Z0SWiGXYM84a2ZwSnLlI6x+uOk31uVxzOLXdOrhJcOA/ +KR3f4/JDlP5Gfa/Enjfd3ymRn/c6PRbrxQ8+Eb3bTH1+p90YaaHO4zLNb2T0 +lzy2a1HWwjmtKltWaYtu7JW1gZ1XRA5r2u/d9S1SflTNa/0/9b1vxRiOfuYX +jqXO0Tn36/Ec+ip9VvN5suz5IY/4UGTyhsK6+seq/Trle6r8e6p/hvIntLjs +nJSz7i2CA5eAOaQztyvtqNuf4lf/WDPu+UB9/wlAoDlvoX37qJfxB7hoYKcx +xLr0893oNvYCO8PcPlL7v6ifjwv7gds6jSPHxMZia/F/mwdvHNxt20pMM7bF +fXJmfYNJtsL3q49F+oaWHMNdn/w88HanbdQeSif08j7jO4jZtip7/AnBhwuV +b03fy9RPf407s8U44dJelgfwwiXJf646dxHHxs/h7z6o+m/a7a66O2QdzHVM +i/eecuQTH4He3Zz5gEnAmZ8G696lvz/X731Knuet2SvqH6k6N3X6zE5psZ0E +t22e+q9iD1U+quKzurDL9SYpfzj+Qvm5HdYF5jI1PmVjvA+WUdn5LY4R18fW +HVuzv1xT2D/gA/AR7P3C7HlNv3WoXV/VbW9xH2CnWf9gk+YVlnPkndjqisSk +a+KHWcNhDcvn+IbPnzrIANhpcnzqJHBUL9tf1sn+71p23H182bwBPnm7xGgT +Nd49yj9W2B6Ab+4u+8yRFc7qbKW7qs/hFdswxsSODVV+qerdqe/M1AHv3A6G +Vp9LCvsQsCh4cpLG+pnKVxfW/e2Ce/dV+ULllwbvzYt8TlH5fcQvhW3zxvil +xe36ZP6/LCyXKwrv96LI64hOyydYeEnZPgl/BPY8PT50fdYLlnuq3X8TB4Hv +lqccPIVubBWMh33HX22N/dH4c5UeUHGf4OXpiS+w//g99uWB7M8ZyV+g7xB9 +9fA5s1IfnMp8vig5PuE3zou9mZWY5RtpSwwErjwjdTgDzmJQyXpzc+Z8ZPLr +Sp7jVVk7ZbekfLb6vzG4kbXemFiA9ujT2pLPljUgAytynuD5O1Rnmb6d2K+K +58Ecdsp8Psu47PtmKVuWOuB49BndXJ48e35X9h89Pzpx2TTZ9l9VjRsuUv7I +xHTEdsRdxF/Y1IltxqL8vZPszzSlE2qOq6bCMVWsN7XozkHZE85wZrgH9IO5 +cvas9YHCbVualids3V2xpcgrOoLuTgvGpu6UjAXeOjZ54hfWjC0n/sZ+YWP7 +Fq5zWM22cFbs4aZd9jngDfAs/gOuAZ8yqsvx42GF84cWxjiXJU4k3iGPj/zy +bzAPMTxyu0dw+KWpg3+jf3wTHOotkQHO/KycO3bgnMghnNY5KcffLUufd3S5 +PrKPbJ4d+aTv2zP/c1JOW/zSBcHVyPXJ0Yvbgs/AZvCa2ExsJ9wbdhz+bXaH +7R22jt/hG7Cr4GhwCTi4n85sEBhT6U3YCo23XWFceV6wJWdGHWIlfDX2E399 +UuJQ4tGLq8YFhzY8HnWwJ6STUv/64GFw8SHR87dV50W1HaPzG9Q0vwl+mFIy +n7Spvh8TI6nNXio/QDIwusW4Gcy8VYvLyZOOTn554Xyl6TPDj4KfLlV5U2tv +0SaOrZn7vkVl7+jbVOVtKn9V89lX8xncNC/AfNap7NesUeX9VXZkt30lez0j +Ng98juzQD2c9sM1xGf7ljbrrEFPOb/OaiBUP6rCdwvdA2GzQbw/V7c8/C0YC +r4KX6BOMAMZg3cQBxAhgse/oW1s21wDvCddHjIxefdLLWHeVzuYDuICGY0Xm +NqJmudsQLhQMT3zFXlH2ZsrvLjzumqr1Ev28Ne3eCmbDl7Jm1ku7DSlnnL3D +XYORwcrvZl6fZo34I8rBSCcU5kHqSj/uZf1ZGm7t4+QPrphrJr7l94+jY9OD +JcAUyCw8JHK7NHvIPvw9fbKf+Mq+4SH7xOfie+9MXE98v1VkCuyN7p4Z/WXu +n4Sr/M8O3wtwHvBjYGjKwZ5gUPYBLI39GhP7Rb/0CfcLPwsnCX9XDf5jP0Zk +r+CL4Ip65/yRddpzzrS9LvYH24M9oez4lGM75sfvH6/1bK46Q3Tub2ug93Qe +D/bYNsB1fqvs/aNOf2w8/KHqLFZ6VJu5UOrtJfk5QjowummcWrX4lm7o8Lis +iVjw0sSDz2vcx7SvLxTmaLE//FaCC9PcPpVMnqoOVqjOOpVdqPzDyq9X/say +Y3l4iR5iAOyr0hcL3wm9VFhfwaf7tNi2YFfAAMg/e8ZZ8Bt1kJtPqo4TRjSN +ia4PLmXu0zJ/MCPxGfzDiYW5Ozi8CU37wu82va8LgsdOL4xDehe2Z8TExNx7 +htvePfI4IrYUX8qckD3knf7BAdylUZf4Fz7v/rLP5SOt9VjNa7cWywIpsgan +gk1jDg8GV4Gjts9Z3Zc+7o39p92wtJ3cYX52WGRreMq/32Z5HRs5aA8mPw6+ +QOXXyUa9rHVuofyV2ssrVf6i8vWer8ajPvqwRWwU9uKOxCPjm+YsDm1ad9Ft +9Pe+Dt8Lvpi94KzBXRv5tmD9auH5TCvM7TAHYuYFmtNT3NnUvR/IMXtCuycS +5xDPdCf2wRYeHtx8RWE/u3PN/NMZ4T/hHoaEf0AnwTLgk3lt5vvg4zdPWZ/E +bH1TDwx5U3AmfNGW+h4M3gcngZGw1dzxoMdDKsZ2YCD0njpw1CfUrEtn1n1f +uSw44TvSmTO1hkOUDu02t0h97PnS1KEfylnLezX7J7B5vcv4bSNu5/dwfy9V +Hd8cVzd2XRIsil/AJ0wo+QzvzDki48grnNLrNd+XbVUYbwzPHceYuttd1vAd +yO+6fNbbF/bj+9eMK4hFwQzL47ew1fQ3uM33HX8q3Pb92lc2lDmdXPdd3fn6 +/et1j7u10kEVzx+c/IeGse/ouuV9Yu4kngFXhSPbQ78drfK7CvtSfCqc0si6 +9WFCYblEPrknAhuPD/+zpX5boLn+vmYe5pDwh2Dw70ePwNEHJb7ABuHDGtHT +o760qxWX49f2zHyY1/i05Z6AvtDNMcFB1EHn9+w0ZwFf8euy22ysH3wANuAe +mLsl+CV4M2TvfM3nzIbLZ9c8z9OD+cHklS/tRuQYzhOeEl2CS0B/Ds+e7F93 +fLZpjzm9oZ2WcWIQ4g/8IrYQ/nDnjD80cxhQMb9BLArvyP00+JY1MBfiqbkN +l1+keQ7SWAeA5Wq2E+SxFdi+A3Pfwf0vcQL8MXKxJDLJPR73edz749Nndhlv +oxPENvRDjI7NxV7in/BTnzf81gIeFv4PnUQ3Z9ZsD8B2c4JP9sr5YptGVsw5 +L4tu7hmcPipYHV/K3+D3l6uOd7mrGZk6YCp4QPq8oOR3FdyHVerGsti71rr1 +eHp0udR03AV3Arc/I+X0MSb9IBdjI+efBFuhd6NTBzkEzy5I/ML5cE67KH9V +YY7oSt5WFN7Ds6MH6CP35uBp2r9P3cLl6CuxCzEM/Qys+G/yvbQPX6ifP3f5 +zcuy7NWnsfWfFJ7X6Mx/B53HOJ3FN2uOFQ4OliY9KPlnq74nua+wLRwRu0qc +fUfs23U1320fVfdbAGSDe17uC3jH8HBk6qDIFb9TTpwCTtkzeodcIp/j6+YI +90gMC9cyIvh2ScZFzo9Pv2C2J7Lv6CbrH5n+0Ul085XCbw04S7AQsTf8ORwS +Phg/+BmxWKv9E74J2RkZGXtJ/UxR2Wvas88atsnYZtY0LutC1sEY4IHdGs4P +b9jmjAmOfSvY/vbEpn9NfLpp7pW4XwL/9+v8KqZAd9ATUv5mbPg47niIu7mH +GRfbiPyekHsv+Gh46RPr5p6GVYyFNspg5HBy07bmJ3XbEvLYkwPCOS2P3MJZ +wu3jM/AdYO/1bZY/eBh8KdwCGB2MQ324VvR5du71dsrYnN3ZGm+Z6nxR81wG +Zj7EAZSDe+jz8/C9yBIxEGfKWyrek3A3jxw9knKwBmXgDXSecuwGXAX8BVzE +C7HvvKEiBgRbPR+MCIYAP8BHEQ/AMWyWNxrIMH3zboD+T6v5rvekRvx8xbrA +O4LH8pZgh8RtzOV3NXNH3GcOzP6zH+gLb2hYx3nRf/whb0p4W4LMcg/B3FfW +fU+1NnuLX78wd4VDcr5wXHBlT7eZL0MW8R/g0pVV+xf8DD4Inho/NDX9cEa8 +9+AeBL/R2rQ96aW5v6F5b6I5vd4wX/p+h30XukYd7MxjDZf/Smmtx2+tunvs +ew+IPx0Ze8y5oE/Htjo+4Y6U+xX0eGbiM+SMWB/bhK7DkcF//bwwrmE+6OvS +LnNG+CA4AHwmsduHVb8ZGd2wbA+JP+UOh7F4V4AvXZf95FyQaezpLfpuL/tu +HA778U5zYmBk6iDzc8PTnlY3B4X+rsxeXpT93DG2Gl+Mn+Cuilj1meSvLHk+ +68q2yZzbizk79gr/h/1BZp+L3GJveKOAzeE93gspBwOuCVZfUnc/xBY31vyO +4eqG34ugC7fVjZeHRGYYZ1XG2idxHv4XWRpcMX/MGxgwCFwV9hI8RLt9w53R +hm9N2b5vTf6mT871yawR+/p6YoDFiZFXNPz+cVriRvgg3rqxh9j1J9K2PW/A +eH+0Nn6d8qXhAPcIVmMszrdo+s5vt5rvQja+dyx5v9em7ePJcz5wM6+Hn4Ev +JB6GF4fT4854y+zTmqwLHX0hegpfBm92T+H1Uw9/dFnNbwV5+8k5cl7g3p1j +N8DY7PGusSFwRNXcUWJrno6cPFu23JC/NG/2rsw93vTcLdKulraDcnb0eXFk +EpvBu5qn0g/yxrjYhd6JX4n30aO3o0u8GdkQnXou9hNdvqzbdoq185bv4w7n +uW8Ei/w5erMmusM6ns24vCFFdnnTit0aGjlcG13gDOFLujr9G5hzac6X/h5P +PHtb9BTf8XnwAXHQsw3P55mGZZb9+TB6xxyILxibtwrci28a/eKuf332mbJt +8naMufNO4Zi8VZij9G9d5rF5XzYwfe3SNEexT83cxYzwF7xrYI+wd8gT/Aqc +z/LIAXMHX8JtgE+w8dwX4kd5Z8B7A95nHa31zFH51JrvLFkXNu7X4YjgiibB +rfDesWlM/X677Sh2Ab9ELA7Hcnx4lhU9rvOO7OW2NeO/vg3v75OxJ7PDuWKH +waYLI0vEq+QvUHp1zTaBN7PwrvNThzdQq/OemHsMuEXwCTxZezgSPmIlOAc4 ++fvDyy9IP3uEF6AOfME3NdcV3caH3FeO7zYXyb0nbzK4l9iz6fJPq+bz4da3 +TWzyJQ80JdwNMfO8zBd/yhuYHWO3t6zb37xb+L6HNZSb5ubpF36efZyat9zj +mn5relDTPBV5bCpxFPEUuA7ObVJ4NzACWAW/eGDN/CScPfMFK20bXoK2yP+x +6vdQ5ScW5g7g+JCbKxp+98X7LzAy+IL2zIl35vBiY5vmHnhPOiLcA21Zx5ys +BR4G+eSunzvZE7t9nwVvNyv3WIxJW3i27zVd5+imdfGW6CP6h43AJuxVyz1I +uM8jE7MxztsZa2AwEb61T/QZXeaednbO7oCm17K/0n2a5ml4J8t9Ahw6mB0O +Cb4WeYEXGBrcOy+xGv73msI6PLDm+6i5Xb6v5B0nvMPEujkOMBsYmntCMAp+ +6KS6y8F0W8Phaj7/0vQ7TPLEWtgcYnbu8cFYxHpwZ8SJyBq2aGnNOIy3S5fU +jb3B4/0Tk8PXjmrYrnNHtFx70L/dfm1lzXPibSl8NLo0Q/l17X6TA364tvC6 +dqnZVl0ce4UfmBt8wp0wd/PY/0J2YJjyC2u+S+UOnrOgv6Hpk3RYyrkvhbuH +pxyf9wNHKD244Xcv4xqWhZsjD+xnv3AZX+sxVwZn1q+wHh5Zs2/qH86Qu+I5 +mfOiun3V9XXL1Pz4nl2DTb5InMJ4HweHY7u642vgHcD53KFjy3oFt/A2A+wy +qun8yKbfBxGX4kNnhj/8omE8tS77gF96Knf67CH3+6wHOw3/AoZ8JXgDLDMh +d7KLUvep1Kc9f+P7FmlPnmb/e2zz5sXudfX4LdfFNfsYfA0+i30akL3avOl3 +ulfUjE/JMwd4He7g4WQWhadHN1blXSv2gnRVYljm9XTmBueN3hATPZA2xH3g +tWczB+aDHwV/Ypepi+7y+zOp82Ribe76OZ8dc0aU8RsxOBhgSPSUeP+SvK/4 +UcO89rlKz+d9sPo8r8dvhXkz/GjVWP7e6MXi2EPsEjz6fVnDysJvhx4qXAf7 +jm0f2jCPP6zh+9YB4VGxr9tVzU2sqvoO6ReF2/WPb8D3zoj/BTvAXbIP8Jfk +wQ/wOksTm/TL3PDvvAO5J74fLmVp7PWGbr/BI4ZfpfF+Cuao2a7elr3jnog7 +Ft7mgYOog6/mTSCcNPtMzMx6iaXO19ruV/3zlD7IPbLKj6r5rpw8917gW7At +HCXYfH7wOe+reYMFLoITBfuBXd/QPF/vNt/Ae/MBwXhg+EnBSJQNTDl3PfNy +j8b/CuGnweOcPWPC7YORF8fnwksiu1fnLQYcysrs8f7ZZziePyf23C/l4LpX +C/NR8FL75zfqg9MnB6tvvFdpM29yWuE5/zBvPnn7iI+YV7Mun1X3+z1sOvb8 +L+HY4BzANMTDr6Qe9et1yxDxGLqA3+4d34192ycxyiNV89dF3f/vwf3WftLj +uTXb+rMaftPEHq6LXaQ9cr5P+royeHVs8nAJvcPZjs1YlP+g7v3jDSZvVMBM +OyT+Bpcik8Tx/B8d+wnngT8jTn83GJ71IPs7R/6xz7zpwbbAD8ITPlM1p85b +DXj1juC7IYlfwNGcEf87M7zq+AlOiTea8FqkjyYPT7wyb3b3j07Rdib6UbX9 +/3HDdS5u+G7hgQ7L19Ae8wvwdqu1pn+u+l0d943zYwfR02cyH2RvSrgI7FIt +9mp23Xs0RP0dnrc+vKk5Lv/HxP8zEa8Qb3KmcHHwHegIfDh3RXCN3eFDDuyx +zX0ktvSImn0fPpA1sS+daVdLW3D3j4O9v5u3NJzl8U3vxfeVXtTw2i9Uuq3K +nu82f7pfzfcc3Bf1V/mb3eayubsmDicuxJ7wvwHEd9zh3pA8MS4xLLEsfNWA +4DP2iD1BZpCvsZHnwekPDD1MY22j79x230vfEHuFbmG70C/uJe/tso/mDgQb +xR3Rxpg1fp17vhXxESc28j8MNd8DUobdYJ/qsX3cA1dz/0msgOxx/wKXST/w +me9pwKFV24Onuz1X5gk3Dr/Pev8fdTMXOA== + "]], PolygonBox[CompressedData[" +1:eJwlmHfQVeURxg98fB+X+91z7j0HUIFJUANK702KSEd6L1IivTcFohQBkSIE +CEU6qLFQFGPEUIRQxESKWCAwJjMZIkXFkYCTYEYFye+Z54+du/vuvrv7lrP7 +vPe+oZN6TCwaBEHTIkFQjN8NYRA8VBAEjaBcNghuIb+WHwSNoXujIJibC4Ld +xYOgD3JNdPuweZ6J17HfDz8I/SL0H6Ifjf5dqCz6HcizmN8Q/UN5QTACmybw +X2c8dx36ieifZewc+j3on4OfDZ3Nc8x58Afx1xX72lCaeBugU/AnofXwjXP2 +/UM6CD7F92LkA8gjoa7MvRM6l8pQQrzfxEEwIUWerP8c9p9AH+JrEvpu6E8i +v48cQZeRu+BvAvk8jb9u8OuIeRzdWexfQ78Ff9vwV5VN3Qw/P+e19FZM5Z7z +3EHIj2Bfmfld2Z/u+KgK3xr9dOaOx6YNfAFzjiMvRB6IvBq6Sfz3kdfAzyPG +Rnytx8dc+CpZ+7qHsaXkPpoYbxbxHm1E92fkr9BdgQJ8T4O24GszNAl/pbC5 +g6oJ9qXhl2B/IN9zNPdLfF6EXwtNQF7B/HrYnkBeh7yeHIax/p3kvA6+gtaM +7y5QJfy/gs2ZfO+x9noZY/2Jdwj9cvgO6G8HvoMx8UeFXvsCaAD6+YxdyfOZ +Po+8OPRdqAWVQJeBPmG9dZBD+CfIYQT5PM3YaeKtxf9x4o8pDIKeCX4i56qc +DsL3wmdz4s/WmcE3xMcI9nYk1Ah+uux1n6Fvid0Un5fwNY77dhX6gHjv8FsR +Hy+hawxdQ3+GsXPQY8SciFyF+Q/DV9f9Qj5BDl+UwI75R9K+87r7v0B/Cv2c +Ats0Y0435P3Mbwp/DPs/Yv9XdPnk8zfko2l/Q/qWhmKzDvtl0Cnk4+j3o19O +fm/huzX6vuj+xPxH4AcrP8ZT7Fkl+L2s+RqxFxNvD3yvxHv3Df5rw5fE31hs +1+CzLfGLINdB/gPyMOTf5Xy2urMr4KdAW5GvEi9Bvxy6gG40+78I3Q7kDLGe +RP4cXzWhD1Ne4wh0M7F5g/klOc9OnEXPyHO/xcda9A3I6VHya49cH34O9u8U +937Ogt+Fv9bwraDO2F8u9Bnq7MZD+7H5uMB3aB/8c6z53QLfOd29zlnfrdKK +Lx3+RqmeQX3w1wyqDF+HnO4mtyr46Eb8UqzhMnx72aCvgb4z+f2K+VvRLSB2 +bXS98bmrqM+6D/xy9PPQNeK8FpHnEmgkfCV8FMf/C+gXo/8fdAf+Pmg9/uYi +V1PtyNi2HdQFuR80Ms8578F2WWzb76Gf4YviM0duq5HbYDuGsQJsy0Bj4ZdC +s9Mey8BPgjLw5aHJsWMolvbgBLE3sYbTBd7TzfCdQu99LWK8qXqFXBw5Qf4t +8t1Z1x7VrLvgE8ZGs56hxHwSfmps/gWoHXOrsYf1mD8Gqg5/P/pNKe9ZdfTF +Ivueg1xVsXOurfrGW8L3Dn12WvNu5l6JXOurMXYJ/ovQtbUU+q/1bUK78HUP +81/Utxv7rqtGq1bvL/Q3rW95A2toR04Zfe/wbeFXYnMR32Xxdy52zVLt0p1e +hO4EYwfx15Q5NbB/IXIvVc1S7Yoi3/VrUDZyzVXtPakeELmGq5brG5+Kv0fx +EeGrHvHbw3+P/xu6T8oJOUv8hgXuqeqtK3PuLcegrcg1sP8g5TUPQU7UYwvc +89T7mmnP0F9A/2/VanLYq7Mkv7bwgxl7Ar4f8doQ7wZ7MyXPY9JtiJy7ar5q +/yboVL570AHtL/ncIJcWnMEh+LK6f8SbRLxn4OfE5rdDA/H3EvIq+I7Ea0i8 +Z5E3FHOPnA//JT5Kp4xZhF0mR+7Va5CnwF8IzQ/B/htsV+W8FyFzzqP7Jz4a +sPY62BwI3ZPUm1TzRyK/F7m3TkNejO2AyLVMGEhY6FjGd38H+n06a+QHkQdA +zSLXDNUO7dEg7H/E5j9pf/P69stHxmK7GfsLuihr7KE924juSMbY5h/ktJPc +9seONRF/1eAbod/H3gxPuyeJr5Vx7dPYReQr0IS0e9qn8BUyvssPswcPwFfM +mG+eMsYQ1tCZvwpfgRgvp1yT6uk+MBajG04+jYT9cuaFAYUFhYmEjVSjn9FZ +x75LwkA3M8aYwpq6A0dzxkzCToOhFpH3THtXSfgE+yOKCd9D33DWGEVYRT3s +q4wxprCmMIywjDCesJ565llid0eenG/MJ+zXOvJd0Bq0ll8jz893D/4J+TDx +FiD3x74+8X4mx2opY5rb8AvRn2St47CZgVyPO9mm0D2gbmJMJGykHlFRa2Vs +PPrm0Gf47448Cn4s1Bt+ADSp0Biif2IMICwwGXkQfBdoaKFtZKserl4uDDAs +sQ/5Ug5n8d8hcS9SDW1F/FuM9Sz0GrVWfbP6doURWiXGLMIusmmeGDMIO/RB +bgnfIjE/DOqWGHMIe/zI+k7DD0yc6zD2q2XWNrJVz/6c2Ds5g4HEbkk+Hcjn +l+jLFfpMdbY/oW9czGPlE2MQYZGWyHUS10zVzhCKE2MMYY0ccmnkp0LzqoGq +haoRqhV3kIslxgzCDtrDrjqL2L1PPWoc/MTYva4QmgDfEZvHC31GOquaip/n +sU6JMYewhzDdZ7FromrjUs0P/Q3rW1ZPXQL/GGOvp70HzbEtKYxaxDW8lPYa +m2r57uF9sW0Seq3qMbnEGEBYYCG0Gj7LWIlC15AfkHuw51ML/EbTW21Q1tjy +PuGKxJhQ2HAmY/3RzYXehj9NzM2RMZewl8bmZY1RhFXkQ776ZT13BtQ3awws +LKyYPbPGzMLO/yKf78jnTMZnpzuvu389tE49Rb1Fbzi95dZBr8bu+er9w1Qj +kB/UfRD2Q34ldg9QL5ioPVX9Rd6Wds9Q77iL/MvleWwv8u9jz9WeHs0YQwtL +v8XYUXTDkd9OG4MKi5YIfVe0p9rb68z5GXkG+9md/XwPm51pj0mnmqvaq7ED +wi6hfaunqrcKcwl7PQutiP1N6NvQm2spuV5Vv8l3D7vI3HNQOuWekUM/LfZe +CIMLi/8957eKMPUybB9Q/U+5J7ZGrpW4tuiO6q42yLp26Y2zAH9lsJ+Z8h3U +XRyC3CvtWp8vXjmmjfGF9RvoPSVsytia2JhI2Eg2vZHrhtapJ6g3zIp9Noqh +WHVC31VhYGHhjqG/fWH0N5DjyLVd/0Hov4i+Ob/NhJH7wG9B/3G+Mcya0Dkq +V2Go+aHvoO6i3hzT9V9G7LukO6O7ozutu62evjr0fwj6L0F7rL3eLvyQ9p3R +3SktvJHy2KPoX4799imFvhT66ln3Hr3p9bbvkfPd0H8G+u9gfWjspjdzmcT/ +sei/FmGqjaHfAHoLdFJNxt+q2Lwwdi29p/SfAvqAM/yOvW6FfH8J70FHfG2N +jfV05i/Cvx4by+o/jm3wd3KuPepRAfJF5JIp37Fykd8oeqsII12BP5/xfyNa +81P6ryE2ltV/HJvgD2Nzvbh7pnrn+di9Thh3Fflej42d9Wa+FhpDCUvpP4HK +zP0o596gHqpeKownrCefR3J+c+rtqRwvIRdJjPXrQgH8Rxm/7fWfw5TYbxa9 +XfRm0Nshil2rtWcrY2MyYTP95zE55zPT2S1jbAO6/8b2XR+/N+FbhNbpP4QY +uUbob1VvDL01xmSNBdXjR2f9xtBbQ28wvcX6x8YqtbHpBz8kMq+a/nhkjCas +pjfmYWLejv02UI+7BX8o47emzlhnXTbx2euNvD30f1r6b0tvLL21/g+zloOI + + "]]}]}, + {RGBColor[0.3246377575, 0.3579367775, 0.38140091750000005`], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmguUVtV1xy/z+r5vmPvde8f4SiokQhLl1UYTBK0rqSOmtYpRE+UlGmwr +KCAPlWpcyNuZQTCoSXgpGm0erYppu6wErDxHUIRqETWGrqrEIBBAigomOv3/ +5r9ZrjV3nfOde84+++yzH/+973xpzM1XTKxJkmRgbZLoLxldTpJr9JzaLUm2 +l5Jkm55KXZK8nSbJG41J8l6RJG+q/WZ9kjyo8T9o/H/0+6DG98W7/Wq/nWtt +9yQZ15wkZ6jfqU16a+5ZlST5mp59DR4boE1f075Xa89t+n2h+t/P3P97rbtI +v7erP0Ttn0T3A9H/RO1H2rtNa1/Ru0HVJJmt/jjRP1/jj2rsp3rGZF57g+js +6ub92Ouw2n/V/NXqt+ndv4mX2Zp7q8aG6vmN5v5CtE4R/58X/8dE86ie9Xom +SB4n1nvel8RHWW1fzT1BfDXr2V4x7Y9qTP89/d6jZ4qeG7T+JY23aPy6zP3r +tf807X9INJdr3QaNVdWeJh6G1rvPWJvWL2rwnLnqz9EzVr+/qLN3iO6fxENF +71Zqbr3W7lb7iH4v0l6n5ObpGvHbuzDNs1Pz/vlaz98m+V+g539rPFaJ8Sdr +PI8+674YvNGm0X+23nux55fjHND5etVzvqa97i1M91O19xde36l2cNnzWXuX ++tP1XF1j+T2j8S2J5X2b+r/S2G54r/O5VjZJ1zT/W6Lz52of193cLJmcrv5T +mjMQeevsxzT+otqnRed1jZ2jZ6Hkt6DiMzdmprlGfN6psR/oOao1qeY36WnQ +U6/nVc3Zrv13qu0Xfda9FHLeXrYct+j3mxpfp6cDfVK7Vs8m9TtEe6qet9Qf +UbZ80e1bNPYy8tf4G5r7nJ6N6s/Q2SZJr2YW3mdr7PUX4nWOxu/T+Llly5F3 +zwZvKzTndzrDUMmjv373qrh9RPvdo7as5xLN2atzDVJ/rPofSJ5/JjqHCr/H +7ms0/xPJrr/GP819R09p7Le692Vxz7dp7dI638+l6p8hm+kr2xmtdrzovxN8 +L0BHtf4N0WmWbuzWmk6NDa/xfuwFv2c3xBn0+zE9D+npKVpHdN4/ireNYYuD +wtaZw3nRUfQfn3Ga9v11vP9Og9cM1nN3vX0E/mF85v568fBMbnmtUvtQbt+3 +Qu3BWt/VBaLZUbLPGaF+a619C3uVQze21Vr3XlN/aGI9eTXugnZn6Ey/6DN+ +e73lzPln6V1v/X6hxv4Gv4N/Wx/+hzs6IvrPlLwHevp66PmB0DN0DN1Bh/4q +sS8fFf58rMY219kPwc+O4GFyZp94Suo7xYa5100xv1s3y3FHyO2WetNHPz8o +m6fXQ8fhAVldktkWL1X7bJNpnK87v7rwGR9pMo1e9eZzQ5yXs16Y+f6WaM4h +7TG43j7zad3/AO1Vp99fEK3+evd2brvHPpFtKewVPrFffnMv0Gcd8uTs9TGO +32I+NjVW+94vnsepnSr6yzQ+V/yuS60339b43+qZqDktGs+q5r+qdpqeh7lL +6elq8b1V/WVVx0hiZTft+0LVfv7KwnrHGZHrj1PL9Eq9/3f1p6s/Uv0N6req +P0R77ld/BX5Q4/NqHTuIlYfC1+BnVmjOEGJCZhkTE9Gln1Uc24hr2PfEkn9P +1vikivXpGq25TWuvUtta8nr0kTjMfuzFnnNrfRdjc9vAeO25Ws9W3c2uwj4A +X3272s2i/bye/9KeY0Tvw1rbz91BF7/XKDpP4LfUvsxcPXtL9p3stVXz/iH3 +mptSx1324CzEnrURZ+/Tuw3iYWdh/Z8VZ0cvXwsbQT/naPzFGtsuNOHh73Kf +8UbRuEd7zy95b+7zSa15Ip7H9dwBdpCc3lb/ZO1/l+Y2l3zmh2s8jt/6ecVy +by3bd3J+MAs8wy9x7bbMce4LqXXzo7D3k/BL2uPkzHLgfpE5tN+JfdER/Oe7 +cU7uGp8DzpgT/gq5Iwfsq6bwnKsKx1v0kJjbjk8rec3sim0Bm7i14r04E+3u +2Pc01sNHan/w6HHfq3W1YVPo/o319pvcN/f+pta2NZnHc7BdxYff6756iMfD +kn8v/EhuO/hF+JcdFWML+CyHLbPnmVo7pbtj9P4GY8lEc/pobHKMc+fIhf0e +j9iETnIf7XWOX2AmsFMhfg6nxgwfiIcG/T5Je31Ftvxh2T4O7HC9nsfq7UvA +CewFtjiv2bqCD3i/sJ1ir7c0uj8NXdPZT1B/od7/QXv0FM331a6s81r0C3pT +g+Zy3f3FktsytcNqjF/BruCcXzVY1uBWdJF7QTfoE9+nhV6hX70rnget55o8 +95+176Xqv6C9bm3wXeFH8CGXafwpjd9cMg30FH29QWe8ReMHtHat3k2o871e +VLVc5ql9J/d9PJ0Z13Mv8Nw3zsX9vBh4bEyzcwHm48d/kjnWNhMv9BzhXsXL +75t8txOqpncg7hq/e1N36zYxlPnE0XH1joXEQWLXpoh3i6vGVj9Re2LYN/7s +zqptCb+7SO24OsdJMBJ0icurc/t/4gCYAp8MJhlTdR8/vTTz+rEam1g1j3ua +zDf9d9Ufrrsbxv3pDp5LjUO35saAYBd80acV70X8OjMzdumfeT10oI0O1oUe +gmHBcGAw4iUxZaLmLwZ31fsc5DbowBy1a1PjoB7NlhW4E7nMrVrHB2aOT/iH +LRp7vMl44PnCcbjrjHWWI+vuFb1XIme8VPwVmeleXDVt+tzFgjrzNL/OGBid +Q9++0WB/ga9Ab9CH/1B7Qsm+C1/9mHi4QeebH3ifvAe/8LnwW8SIvOq7e1X8 +zMyMOy+p2qfie/FDg6uW08dV5xnDIh/EnxHrlwUOA4+CjcHb0AG7Yn/DYnxC +ap1H98E0YJs14m2WaM4sW58fKJy/DdT78UETH4jdfBT+sGfFOQC5L3kt+PZW +dEB6fUWTfeTlaj9R20/PS91tn9jmM5lt4V3pz8ehly2Z/dUIjX9LdO6uGKuQ +MyEv5IZvH5R5zjmZbfpK0RyATw0cCB6cENgYjHxxo3HRbNHsl1l/0KOjVWPS +npllimzXq/2jaH0c9k6ueqfWrq4zjfuCDu2i6H8jsy1gE2DVwxHTiVPMAYtm +Fa8htwIfrIi8YGRm+iMyYzLO+586z3ll50XkHrsjbhIrwfBHax1nl1f9fkbm +mNMr4g453+7IsyaI5kidf6LalgbjcNb/OPfvHlp7k96N0JzxhWP1ocBI8FyN +vP2fqvZv+Dn808GI0WAHfDCx6arAYN/LbHPTIt9vKuw75hfWo5rQpSci3wX3 +wtPRwA957LEkNR4/EHthD+jzD3LbJ7a5RG1L2brHvdZU/Jv+xNz5wBTReb/J +9v1D8XC59r2i5Dzou9GHp3Kz41mp2b75pPDPpdR4j7rOkMjTyJvATJyfs5dT +YzJqNtC7Muj3y93/Supa1HdjL+z58pizLGLlZalrCtQWflS41kDNYUFhPPPf +ZetAJbNtt+LzC9e8qmq/nLpGRL3qgPr/orOcXxijgFUGRo7Kvsj/Oo1fWzYG +JZ5jo8wlj+fs+MdTJYuT1V+c+n7QGWyGHPDsuLs0c78pM37v0rNa56z4f3wf +ufvQyIuxN2j8iPqYnkni56/Vbmr0+qORb4Ob0GHqGtQpMq3bUHW8WFc1n/ho +/PMDqXX+QXKU1Li3odlxu29gEs50cpxrXdA5pnZpah1D75DTmYHBtnQ3zjiO +Mf6ywbZxYub+59QO1ftj3T/DdH1i7dKqY0M1s7+74zh+qxj/YOdgRvJtMN6h +3PgNHDcl8thzq457YCCwEXGTHJLYiY6j64MiP4AO9wvGoD5JXBgQfrdn7NMr +6kobw06wEXzSL0v2S23hX7DBh1L7+UXia5XGfl1yvkxcBddyN/gGfARrmUMe +ht+GH/rgV+qK5ETkSDtFcyJ7iua+kvMlfCExB56JO8x9OeZTa1kVNMn1VgUP +1Gvbo45DzZS8gPyAfIW8ZVrkONSMwJNTtO60su8A/ELcImYdrythezsbvR97 +fbXZ8/fntiFyTvJN/HF7xbUq4jTxenFmOug1ey3Rmi3a7xG9f77kPvpMXa0a +siKPez70tgtHRD2trexzwf+mwjirZ9XjP49cDH57B8/cZY+499ML1zwHaN/N +Je+Nb6FWB32wCvkU+4JJOmIOvFXLXsP8ESGf2m7WjSz8P3yRD3TlArn1YWHq +/PRI1IywpwWhk0nhWkdn7rGFMY7eLoy6JTpyJGSOTjMfvHNt7pzup02ex3pi +M3ipPTATNRNyCfIIfjOfc4GN7wl8fCRyH+hTf+buiNesmVdxrkcLzsB3kBPh +J84JzPVcyTkCuIN6NdiDdnb08RXYOvKfGrkb9g/2aw38R2yfG7Xuzqh7gyVo +50Z/Ye69FuTmm/wdTPj93P1HmxwnOTP+9u7U/p848Lvcucru3Dksczgf/viJ +mL9H704iBuS2ty57TByXuHvuHV3oCB3gvtFVcMs83eNUnfOweLgjt6+Ylzq/ +Hxx5F/Uh6C8Ivd4cuj0KO2107Q79bQvdxv9xd5wJzDm50TXz2YX7swr79s1R +e5kTOTu5O/iKbxRgrAfEz0bxc3/uM22Pc4GF4ZnaFXiVOfiy/vGN4fTAAG2B +Y3eUHVvBBzOoBTbatxAfRwX/yGNbfF8AC+A/wALYCj4Fe6GefV3EU/Kgzrhf +9IXf5ET4Nnwf/o2ac7eoBeFn8DHIh9iHj8HHfk9nmw5uyF0f2h71efgFE1Df +2Bt+lLODi/Fl6Dx4nzoBmJ/5r8QZ28O3bAo8tivmlAL/vJ8ab0IfvLGt0TyD +V7FZam74dnxCW/hhZI68yUGYuzfmY3Nt4TNHBd44NXJ4cvm1Tb433sH/O+Fn +kQG1nNkht2tj/erwUSPj2wP3MCLuApw7OujzzWV61LVGxhzuCJw7MvqjIu9j +X3LWT+O+GBsdsnpVMlqvNYtS22xn2D/8XBd7rQ3+4G245rY1mv74yJWQLzEz +aXQeg74MDx64z/WRNyEHvsGh29QoNjZaf7+e+tsV374uK0xnaHx7QrZg7EmF +dfXmwvdDvCRW4p+ps+PT8FX08Vf3aN50ze+DD1e/Q/1fqn+u+rtEd1Pqe6SP +rmIjzEEfuFPuCF+KP8dHw/+wyAWptRL3wHPEF76f8R2tV+F6A/rUlfuUzQP3 +iF1BBz8PDia+tVKPCdyLnl8TOsx9URdBh9mL75w74r6YuyNwcr/4Rsh3zhsL +3824yEWGxx0tjHyB2NQ35tdVnU+0xLmox04KeQ7JXX++MLe90qemOyviKzEI +30Wf3AGfsT3ogD9fjvHN8b0MP0mMpu5JjkN9oT38AnGNcWIB2Gdy1LrfijXM +PxD1Q2IA32qnRqwHc04K3Anm6gw731PYv72V+v2UmEP9m5zzuP2dF/eLvtwZ ++kN8o48e/U3utd9Jre8jQp7cM/ZAnZj73BZn3xBj1OOICSPDr3KHw0JniDtt +EaN3R1zro/b6+B7Hd7mHA98szh2bsQ98ODVSapB8v1sZfc5F+2SM9416FHUp +bGtj1AGZx3rwOfVOfHFXnIpx1pJLQOdcta9nxiJvZJ6DH8eHr6mLb3l6vpo6 +1+uf2z8/XPPZ98BHI/ffGXWi19T+JjN2eTOzD10a+56Z+/7AzquiZkLtBMwC +diHW832VuNX13bnW87lrvnXOCP9MbXFb5J7EBHTskogR1JIYw/eA17H3C3L/ +r0BLbnzOHHIK2rtiPrklsjqYujZGrQ79vT+1HlGfIBe+PPadH3VJ9m2PufRn +BE34XxDj6D//d/Be6PPyiC3IhNr28uiDuZH7cdl29RPLmJoScibGjQ+ZgNOf +DazeGXEZf34watrUtj+Mej51/b2KT4ep/2SuT0HzWOoxzgy/1GmpKVJHIx8g +L1iS+S7Gh37ynjpuS3yHoo/OMz4u1n4z6HF2ap+3h0w594Mxvib454z3Ri37 +h7l9BXkFPgEMRh9fBJ5cF/tyvh6RA5LfrAzdR87M2Rq6vCz2ejvkhGzxb/hB +fBe+kD4YAP+8r2K/jA/l++fYxN9Cqe8e//5LzkkdAFwBXeyBHJTxQXGmNbHf +hqDD/OujTkz/qM55hva5KDN/7WF3YPwPA+eDA0+I/2Mh3uCPzkodF/YHn9TH +0vjWg27PCt0rxTi4g2+s5fheQ246M/Sf+i51f3zu/+XO3fkuRDzqiJjEevag +dkHORl4Kn8h4T+gzuKk17Aj7bIs+Nt0UvIFV+ebC/wTge9B7dH5v4T7feVoj +f8EPzI86c5/MGLs1xjlXOWg2Re5DvsM65lCL4JylqNtz3rMiH6emjnzBEaML +/0/LP2aOD9RV8dV81+Rb5K7M/2OFPFnL/+vwfztTo8bJ3a0OO9gU+k/sBKvh +RydH3YO6HXeLfJAbMXBPxMHBUb9vCV80M+7uqtzfMq/OrY97IxfYG/qJvhGv +fxb1Ab6V8s30t/GNibyamgH6sa/yGZZGr5ABY/uDTkfwj81ODR81JTA4+2Ev +/w+/cVVc + "]], PolygonBox[CompressedData[" +1:eJwtl3mwzmUUxx+997rXe9/f+/v9XoVSaKIF1zSpLNW0SE3bTShFSVflUi5R +WkeS5ZL1oiwhpZmaNtVMi6VMaVGWf4TWqVSEuEQS0ufb1x9n3u95znnOeX7P +c7b31Moh3auPCyFsh4qgUXEIWzIh3FscwhPg46EL64cwCP6afAiTkhD+Qv5h +SQhTwD2hkeATkNfkQngG/jP4z6HnohDGQS+Da7ExAFvjkL8P36A0hMnI5mFz +DXvPQz4X3CENYQOyJmUhvIR8N/wP2RCWcMhi5OfDr0f+MWu1yFtjcwDn7sb+ +NrKPTv9iry3mPI/CvwR/P/Q0+pX4n6TzQt+g3xL5xci+xd4ObBdBF2B/Dfwy +9H+H/xpczjc3RXdnat35XFYz8Af4qMb3m9Bo7DUphNCIs98DPcP+mcirkO3E +5hvgOaztwtZAfKboL4P2Ip+MvaXgQ9jch/390GFwX9a+5NsncN7bOXs/aCL4 +eGgzst/gd7G/HTZ/BY/F/uqM7/wR+GbodEHeFVqIrAz+NWTt4SNwB6g3+B3O +M5bvawhfl/GbnwC+HVqD/6fYcwf2zoSvQPYr/HvwXdlTyd5yvu8I/FOc+Rbw +m/U4J/iFnPfqznX3B9Hfjn4V7/M3uEfeb7MKn2M437vY34n9gM+t7P0I+Yjg +PR+Dj6LzC3c1Ev4x+Fp8jOGuVqKfQdYDHyMyjskbwb2gx0u8JpliULE4A6oC +L8JHS8UuOn2RN8XeKM4/FJujwJ15z9fx9xw6F4BnoLMK3VWKAfx1R6cAfg37 +WWTToQMZ68xMbFO2G0Ib8XczZ34YW1ug3xUPrA3E/nT4ueCvE+fGRmxuwP7l +8NXsPZm1/ei3iP2WnyDfhO/ZiXMtj3wT+pfCV2S8pyt4OXvq1bOPBN956LRi +54Ry4/zYb98B+Xng75RD7F/HfZZg73v48fDr4Uvhn885FhWDisUa6Grkb3Om +CeDV2KzD3oPwtej2yfutfkNnFvub5x0bn+KvBfgga0vBp6BzOb6GsDa72Dmx +Pec70l1pTbIrdR7wMvYcYu9yfO7gLOu4j1Xw18lGfce4Yn0EexYq/5GP575m +JY495cTT4EeQLy52zRjM/pX4a1zPMVZANh/6JeMcvwZ7G5B3Qvci+EbwN8oH ++AGoZ+waqFo4GP+XJY5pxfZS+PGJ70R30wqdV8G92fNYfdcI1QrVENUSfcO1 +4Kq8Y0M+5Xtj6tqnHFeuT05ci5WDysXWiWvBUd6rFfJu0DDkQ6ErkH0bu/at +Rd4PnOb9FoqRFdgfgv1bsd+PeIrBU9n/I/YaU89OJP6bQZ2KXKOaFxyjilXV +kI7Y+wl+c9Y5pFzKxa41qhmqHZXsOYj/NtjrD54d2bZqpmpnE/i9xzmnlFuT +ON+GBo6pL1SrWVsBDsivB1ekxtKR7q3wV2ddw1XL1TPUO3SmbfDDOcNbGfsY +Bp7GnawscU9Tb1PNVu1WjsSqT9zJDVBb1tpBR6Bu8M1KvfYQNt5j7wHsPQje +hY37j+mexfcshF+vfsedLY8dI4qVAmtHsTNQ9TLrmpkDN41sS2dskrjnqveq +Ry5Dvw1r3dnbEzoD3RpoLbrtsZ/V98D/BL8bepG958BH4BbQDOxPgRpiqwF8 +ObK+Bb/FYWgQ+J9jWGutofnYLC9yjj8L3of/0zhrBdf+J3ga9q7jvH1Zmw6+ +JHWv0xvprXaic0qpY/Aq8L+Je8UBbB4Gb4UalboHqxcfVfzCv8OdVHO+ItZK +8f266rvyEfm6Et/pgsQ2ZEt7Av4Wqf+VeAbRLKIaoVpxJvK/4a+IjZVzfcD7 +WVtS5G/6C/yJal6pa4pqy4rEtV1rnbG/JnGtVAyvTdyz1bv1DdvgO7J/YtY5 +NBT90zUPFLuH1CGLY7+VasrMyN+kbxuJ/iT05+Q9GyjnZmseQmdC1jEyCHmt ++kGRe8yCyDVftb8H52mbuMap1k1krTm4dWTbfeCj1DOLZpfhrI0DD8NHL/zf +B/8k/OjUeDT6J4P35qw7jzMNR/fRxLOhYm48tg8SI/eiM0zxXuaaodqhnnw2 +8naRY+0kaCqyl+E/zXrG06ynnqDeoLXNqWu4ankNPirx16Dg3vsGZy4tuOeq +9ypnpybOMeVac+zt1t3E7iUXoT9Y/TT2rKQZRrPM5+hW5HzWrdgZm/rbnkV/ +DPikgmdPxfQe9J5IPQvojnRXm2L3cs1kms3Ug9WLFXNzNNsmno2UM8qdbTnP +MprR3lespL4LxXRbvmVW6tzMQ+dqnsj5jDpbub4Lfi2/Q7D5MHa+Tz2bakaf +gf6UyL1FM7Vma73FoWO5qzfpGvsu1WP/QXeJ5uoy9wPZ/OKYD9lWXTqSevZ8 +gGNPY/3nxLOvZrIt4C6Je5tmDM0ad3NfLXLugbfFxqvLbEtrqpX/lvlbVDOV +08pt9Vz13unwH2U902u2l0/51tpX8PnUtaUP/ODUNVO1UzPdTYljWrHdG/k9 +4AGJZ5Uazlel+0gtUw4pl+pSz1KvcB+74NtHvvsKzjMTWXns/xLqcW1j54By +Qf8Bfka3ELu2aoafC7+D8+yr75lOs51qvGq91laA9ySOTdWYOnDLyL1ZOXyW +5oPYs5Nmjg+xdVfi2Usz192qNXnX2ifhO4J3Rz67Zpo9nO2z1LPEPOT3ITs9 +ci1Qj1CvaBx7VtFMr9k+H/u/lnqEeoVqhGqF/mP9obeInDv/z1js75y3bc3g +ncBbIueKatp29t6U+myaoXuB90TOVdX8M4iN6tRvp5qo2lieuHephquWa2bX +7K4eda5qX+zZXD1cvbx/4llFM+md4P8AvNb40Q== + "]], PolygonBox[{{4168, 1904, 2984, 3022, 4167}}]}]}, + {RGBColor[0.3723175625, 0.40476015, 0.42477252499999996`], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmHmM1dUVx38zb3jzlvktb+oCqMBY0DbaxWCqMirWBbWtZXHQyi4VAZs6 +VatDom0oDIvGXVrARBC1NWkaBNMtFZNqa2VJWtumAlYqaK0KyKZWYVD7/fA9 +xv7xe/f8zju/e88995zvOed2TO8ed31zkiTH66ekcWQ1SW6pJclteh8g+qFy +kjydeBzRanql6BV61oke10iSs8TvnybJSeKdKnp/vyTZpedk0Vs1T4f4p4je +I94xmvPomLdd4zKNZ7eYz5yrNedijUMlf7XoR0VfIHqT6P5Fkpwv+jit9VjZ +NDq0if+Exu9rPFn84eK/q7VG16wrMgML636Lxt255767TbqKni76HtH/yJKk +T9+VxFtYSZJFeiZI/+FVv2+R3BDpOkAyk0TPr5iPzHqNd1e8368VlqkwX8n8 +2ZK/UfosCPldGnfquV/8A5JdKZ0fSGwD7IkdNsb+2fvAqs+D95+WvX/+H1vz +O/St0nuz1jtf6+7VnA9qngXx7WNhB9bsa/G6yE7SU5Y+Lc0eJyYe+wX9smSX +6ttOjddoX3dpzm8XnpvzZv55Go/T+xTRF0mfgUHfq/FYPZeLnq5vxrIf2XlB +2fOM0/u14t8jeobGbayh/x4W/0LtZYbogzrrKfpvtHir9O21ZcuMlOw08ceI +/4j4Y+SHAzRPLfXcd8f8R9WTpFv7n6z9rNScY7TfFRr7t1p+smROaLX+U0Xv +09zv6ClJfkLJ75z7zjbzumXb/WXzeX8xt27ouCW3Pui1UXSHdNyg8fSqv7lK +872U2w7YY3nZ/s9+Wf/4sNuruek27eUN0dPEu0vrL5RsR6vfe0UPCp2xd//4 +ln0fE3ufWzafPXLmh1rsY5xlX9AN6Xa4xTxi5j09qxLLEscPRFwRXy9mPnP4 +nPumzL7bSD/9nm/5/0B8+wLxU7EOjKdXbK+5/RxLg/Wc22I/41vO5wfNji9w +aG2LsWiV5J8MeqjmWB3v68PXc+nwVe3lPD0/xHdlt5nSdVTu+W6LOcGgvaH/ +Dfoe0NvRJB9FH8kv0fuosjGrJ/AC3Mg0/kTPc7LnjzU+rPUOSXap6D9ntttR +4l1YtszBkvFvcNmYMKdwHB9feK+dsd9m+ec50vlJ9Gu2LsTdzKp1Rc9Bkpmr +9zkl49u7YVt0RAY9v5XZH3fJT1YU9t2HCscu6+Fj2AZ8xx7wtgW/X6zNukMz +++kbRegSfEbwbnuTMW9+4GGH5D+U/HUaf6G1e8W7X+Mvaz5rzn95q+27Q/Qd +kh3Xz3x88HBgUW/F2IgdGHsDJ/Hh4eEz84OPDt0t1vmVJuM0OqE3MuiKbk3S +YWmrfXkUGKL/x+iMzpUNztZza+ybudjrcsl8T/Tmhs8PmvnXVo3vd5V8nusD +59dJ/jzJPJcaj7aFLy9sWKdBDWPVjIhx/KU75oS+IdbtqNi/8XVseUuL88YV +WrenxbmjKzP9eGYf21CxLqcWnmezdHgk97cvpdZxQ+j89YZ9ulv8RWXjLZjM +eG/QZ2itMwMnv1L1OzkBO2GvfzUZw8AysI84nVP6NLY4V+KLcyBfchalur/F +ztdUbVP2Tsyw/1Wp8xl57ZMaA5o8dZq+/VLdPgufmgEMYqRWWB1YzVpbIm8e +E7LohJ9/UsMMjDnBDHwPXTnTNVXnZs7s6JgTPAKXJkUeJD8SHzfXrRMY0xt+ +ih/2iT5cMd6S16DB5qu1x/kap+pMpor+kegpondnnrNLe59R9Vlil0sl06Nx +t8abCuMJuML+Tg97glXENfvFrshzLuS3iSWfF7LD44zezpzjqQv4f3PkevTu +rDqux1ftZ7MDc2ZVHafE3fsV5xRwlDilTru44RyQ5LYZtuNc8E3maSp5T+wN +3/tTbns+n9vXk9B/VMP41ZfZvl1V+wZ+MiN8ZXer44tzIY7RDzyENzL44N/M +0Plw5DWw9ZKGsbJJ6y5r9b6YA/3YM2vOjXyBv3Ce4DC2wefPCb+lbhoYddc5 +gRvIMN/MmBO7d0aMdIYMNPn6w4prTXILNTH5Bb/rCpufUtgmJ6XGj5cDQ7DB +NWHDrqCxz/TM+/9januPD5uDM9vCLl3BZ37moqZ9Iupq9CHeP9aYoIeGLxae +Y5fmPjm1PujVHTgAJowPnbEb391e9rfUd9DM+U7URfhoZ+AHPkbNgi2wA/XO +0sBD4oPakZrpg4pj5AittWfjG6lzCTllQ+ZaBr/EJz+qGMtYl5H5iUHmQIZ8 +QX1ELFIvURMtChl6C2xB3U/djZ+QTzlTfAVfas6dn28szFsefGjOvDdqpKVR +Y/+25v+O6FpxDHB2s/T9ffhuYTtBY7clbc57E8CH1Fj6cG4fJt74DxvMjP7o +EckclsyDMc/i2PumqrGdGmBl6rgZlBuL2Du15qGKbT026kxsPjVqyIMV8+cF +DZ/xUPCxJ2eDTdk//staG6qmyYPog08sDsxAnnO8PPyd7+bFf2PCD/G/6XF2 +nOXCOMO+wNLeoKeFn6APc1Cv0jdik46oHydHnTk4cBsbNkIGjBwdOLksek78 +jzxLjp0dNtxYtX17IgfDL9Xcp63TPs7MnDvO0Pif3L7179x4vyD8Cuyhv8Iv +iLOPItZ25Y6BtzTuy+1/e3L3iGMib6I7e2Av1B2HIlf21JxzqGmXxv7Bt6dz +x9u63P62PuoB9sHZ9IWvsKdVuWtB4vILhc8ELOLsaoX7Tfp46srO6Asupq4Q +/5LCuqLzgdx7YC9v594/dniTvjN6Z3rokYFh4PNZmf1gRGabLA4cWBf6ryxc +J15Qc8zSrx1dd746tt30HfLrWXX/BxYRK3MDt9PU/dtrueuNYXWf+ciGz+48 +8kC7+fsle2XDa12hsZ66d9qub38u+lLF5CzJ1vT0k3xdY0vd85ILKvFebXf+ +LcVa4ORRoTN6Ua9zXvRB+AL4QO4nljZr/F3uWuqp3Pcl9ErI0vPRP0+JGOyN +OB0mXnPNfoh/QTMvYyn4R3JbzfhTCnlkv1x3H0U9BK8pvuUuh1qJvNAX8Ues +3dnmNV/Pfb/CHQq108bM69yZua6lvt3dcN31UNwtUEv1BSbkhdeoF66BiOGt +ufM1eACG0NOy5k7xe3LfY8zJnT87I89+N3effH3u+xp8Z6/oG3Pf7dyU296D +w+ZD6n7HR8iR5ErqdDDp/cCxz2qe5+rGBXxvePQpneLvEX+H9twl+i91xwBx +Tz+DzCTx/153rYw9h4VN6UWpK6k5Tyh8ZzWgcP1A7cD9DPdBxPyawrl0TeR3 +7LYm8jXj2uBTyx8OnDpLPvcN1m03HpwWtfENqXPP8w1jxZQ2/z80dOPMOvXN +ZZIf0e5+87LwZzBjbdTATXXPT3z1Rn9H/0VMnxu9Knd49M6cIT0SODUk9/6H +hu99kBmHDlLnZu7zN0nm9ojhcdLhO3pelfw7qW39evT5+OmOoKm1mkNPYpsY +n0hMN1wL06d2tPvct6TuGV+quY7DLnMDM3c2zH8t9TpXyD5DKsaGUsTI0LrX +4tt9qd9Paneu/lXN+fozqesE6kqwAVsfuWf4v/uzidG/U99WUtdG26R7lrrW +peYt4p6UOnpran89UWu9WRgTwAZ8qynOgr3QBxG/ranrmJdz33HSI4DZ0yLf +/1Pj9lbnRfLIirjvGptat+1xtzAg/PM4jX/InAuezdxD0ksui5ywO+4hRzRM +P124N2Sv5NOn9P6W+M/qu95G3G82XKt2hQ+zDv5Pf0edsiny7JU6h7V1zzcs +/Ac/eivu2bjPIJchD1Y8Hv3vzzL3t8TGiaI/l7p2pYatB+akkfc2Rh7cEPm9 +J+pPdKY2+GvdeqDD83X7Bj5yKPU940WyXyLehDbj6L7Cvfr+wrUp9dnF5LHC +d1LvFr7vw/6/0f9X6buPo4+lf5zY5rh9pu447Ql/HB8+SX+OjWYXrru7w9ZL +Yg/o/8l+wNgnooaklrwz8Pmbsv/f6sYp/Ih1JgcmTIp7XeqK0ZEfyZPcPQyr +GMO6o/bAj6+Lu51Hpdfewjp+vt01T1/kJ+a+OfriX6fu9ej5Xsl9v8q97O/r +zq34NDXRh5FvqMUaUY8Nadh312qd/xbW573Cc2yPO0zWRoc9hevNjyuf1pzz +oi8AV56J+OQskQdP2Nvq6P2HRx6YHLXxwfievrwp+n3kXog7Q77HRmA7Zwum +Ua+tz02Dc91x/4b/3pQZOw+I/h/esEid + "]], PolygonBox[CompressedData[" +1:eJwtlmlsVVUQx0/7+trS9+479z0Rylb6sLQmYtRohFYTCEsRt5a2LlARqGxV +rLZNWhITo9FKMG6YaFo/sBQ10RgR4pZgo0AICB+MmrCpCBgEu9AFUVo0+vsz +fJjcmTPbOWdm/uem656qash0znVCWdDawLnP8pzbmOPcmtC5dqgRxUjEuS3o +Hkw6Nwf9bbnOZcLPgnrg38R3e9y59xPOtWKfgf312P/snRtDrNegx5E3YPNx +1LkifC4Quwr7JWzg3phzpSnnZiMfwbcWqsZ+GFqZ7dwKaA6x6tE/i/1k7NPY +30/+r6K2hwp4h00xtu+QrxnfCdBs+HdZa0G3FfqH2C3ssRO+EHoafpi1zdg2 +I2/GtoIzLiHePtZmoe8lRhnyIPJUckegHPJnYF+C/Wb0regmcqZDbGMO8iT4 +Sfi0sbcm4r0I38taa8RilOBfj8+n6Ko4wwzdHfQM57sP/R3ofyH+WGK9AT2B +7RdQmv2cRC4k3mHst5PvMv5H4Eejvwh/K/oIucYQYzSx1kAb0I1gU8h+q7Ep +ha8mRlGe3eFB5CQ2Q/DT8L9E7j2s9UTNR75VKYulmql2TeTY6ixnM3w+9f0e +/e2jnDuR4VwN8R6JWE37sP8ztNrv5AxD8INQGnkHch/8WnK2k6sDehJ+X8xi +KlYFMR6Gd9DNrM8kx1l8FrE+iP05+Bkp66UMKAq/n/N9qbvH7SP8DhHzuajd +4UFvZ9RZ1TMhe93NHkty7Mx74YdY2xq1PQ4QfzHx5hFvIjan8e0hZoS7uIB/ +l/oTm/Js67FOfD3Uj/8N2P+N/tuE7UV3rrtfx9p72C9EfhQ5H/tSbDex1ogu +Qbwu7MtY8/D1nKmGnI3I83X38BXOZvKhpNVctVdPXkOsspT1UiaUDb8S/evo +16NfTvzHkF9FbkNehlwHbci2nsvVvBKzldhR/PPwP893P3SGtVPQ6tCwQj7y +1QxoFtRDh9QfyB3I7VBDaDOp2dSdHEB/o+6Uu3JQCbqv1fdxi90CzSPmKmLP +pF57A9uz9i5MyUHeA/2RYz2j3tGMa9Z1p63w3xHvurj1ju7sBGv5fMdDscDu +WHetmW/yhmnCNs2kZrMyMF/N7ILQZlCzqDtchRzxNnuagUz4XvzX51pP9sDv +CG1Wx0G/ou8KDUtU4zz4Am/Ysw/5beQf2e83V/t3Bv3d4G0WthC/g3MUB3ZX +wuRp2J+HCsn3ALrVKet5+S5A/hDbPvzTxF6OWy98J+uV8M8Tcym+27D5N2KY +XUM9JoSGXeq58fBD+BQh1yEPChtD63XVbBN8EFpvCoPi8B+Q+4ere58O1XIH +k9AvRf8Kuc8RowB5GfJZ+MVxq7lqrZkWxgvrVfORwGqu2guD64RdnK8Au0Lo +GLodMcupXMKcXd6wQDPZHbeeV+8XQQPYvxXaXc/FZrI3jBfW643IR7cbmzuz +rKd2IbclDbsXE685YW+Y3jLNzAr0U1K2l3Xcx1J028i5kLO9oPnSXbF2Os9m +SLMkDBAWpNEn0E1J2FukGqThP8FnnPCWtc/RF6ds7zvJn42+31stVZMB+C3e +clfq/dJ9enuLVxO/1puPfI+TvztpPaRe0ps619tMajaFkY3kO+ltNoRxwrrL +CdurMO2epGG0sFo91x8ahgvLpyL/Bf9bYLn05untuxiaThgqLD0a2Nt9pYac +rdtbL6hHe+DLve29HrqE738xw3xh/U3wQ3GrhWbspaTV8EotZa+3KmH/Hnpz +euGHE6YTpgvbpyfsrdU/iP5F7goNFzTj5fCniDchx3o2EH4m7K0UhgnL9nur +jd6QA97+AfQvkAXlwi8MrBaq4d3E+8kbtqonjsPHUoal+ofRv8zL2F8bszda +b/Uxb72jGT0KX8seF8Xt7LfE7J9I/0byGYv9qJTl1j+D/h3yAsOa/KtYFw/s +rdKZdLb53u5WPa5eP+INC/SGHIY/421WNaO/638psH8//SN1cJ7/AbJxREM= + + "]]}]}, + {RGBColor[0.4261152375, 0.45590017000000005`, 0.470918195], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJw1mGmQVdURxy8zzHu8d+97982gSZUOoLgUGPkQgSwFVKlRAUUiRCsKxhmI +IQUENSwloMjAN4VSljBZKouCpaKVxIVAYEqtGFxKTIHsi0BClEGWuBCWlCD5 +//w3H071uWfp06dP97+776Xj7x99X12SJOe6JEm96Dh99CsnyW71P8uT5Mpi +knwu+oomB6t/XPN3pUkyRP3/qn9RLUluUP9i0caax2ui+0pJMl/zk8Un0/cg +jVdET4jXVeqfFP1bQ5LcqrNWivdxffeFp+g87WtT+0gy9dKemzTeUzSvWYZq +zWuXqv1Ke+8peQ/rl2jsXbUtBVHx6qL+BtGtOusO9d8Q3aA9b2rPQa0/qrnL +NH4s99j6GB+b+tz/iW+ta5KU1caHXJw1Sfd6R3x6d/U9h5Y8x33hcbhsPr3K +5vt7rZ2p/hHG68wLnqwZXU2Sn0uu0U3iq/kv1LppfpPGT2p8o+hRtQt0pyOi +7aIzC75He73lmB/8GIPnAs1frL1v63uJ2g7N3y/ZRpb9Rn/W2LOiN6qtVb+7 +7puqrVP/trLvvkr9p4vWOe8/QfPl1OMdJfPGXnZIpjM6a7von+rd/4/GW0p+ +m1Ea+5FareD+iEbZivqHtf5Q1eOdVcuBPKe1d5b6a+p8L+zl1/reV+d35833 +qr869HhI9x2YWndXqx1tsF72aG560Wdx7jGN/1L0A413lvwu6GtFvfV8ROMf +NljW3eoPEa/BwfOs5LtMfK6T7OfUv0L969XvU7FtPaOxLTprtvp5V+sG/SPj +ctnrZs09JTqsZFvhbi9l9oFF2jtYdIb2/Vt3eVHjr+v7cY0XdK+eBdsZ/OAD +/634UMFv3lLnvR92sa0yx/hbVd/5bdG8m8+APzLlYc8NsrmK+t8R/ZraLsn9 +mO7Us2zbxW55b94df5+Smj/nYCvYDD6yvmq9vyk6UW2J+qn4/bVqna6tWiec +jc1cW/b52Oo08ZqudkD9heK3QO1KtUuaPL5T8jwqXb+i/vGKfXuz2jLerma9 +Py36atl6wh/u1v6mkG0pug39orPni373cpN5wvu6smUapPaC9N+uNW812s7X +qY3W+mk6+3eAZGBUZxfjwEbxLNZZfjDgjL7nij6BDYjfFvXHSJbG0CFy8q7I +eqfknqez7hKtVzus+Qt0zmq1/Rp/sWad9S9bbz1EBwSGtGhNm9b01j1+W7Bv +49fgN+vxi+UVY+LEmmWcGnqGTot+p+5zidYcyu27A4r235HdjDm7dMefSN6H +g3+z6P6S73VQe3pp/UeiZwu++6o629HOeu9dVO812zR+ROt6q39YdHG9+9vj +rFu7GZ+3NdinsGfoG9EHU7+V+o3miX47+ofj3bAl5EPOT8TzH7K549r7nmgp +ZH683o0+WN1DurtIfJqbjJFLNfdAYvnBZO7w3abA56p1D8+v9N/gddxxWIMx +A7/ukVq3UyM2rIm4AA98bWdgAz54/m1XB449or39U78z2DMgNf4slF77FH0G +8fbpwOT28BXOJMYuLxqDiTM9wk76aO+TGn9O4wPL9m38eqJoc2o5T+s9PtLa +xorj4bCy4wZ4hn7w910V+yN+eUrrD4AjFcd67PxnuuO0ms+aKvqg5paLRxet +nSseD6U+m7XN4Rd9SrYZ/GhGvD1vzV0/DJ1u0vy0ou1qecF4hB8NCp/l3cFU +sJUcYLz89g6NPys/7l1wH0yYE7pFhjURs3mXtuizty3sCt1j+xeG/ZMHLY04 +2iN0zhvjw+Az8epU1f2TVb8DvsRbEKuxGXROzCB2rMx8F2It93k4tR2TO5AT +DSw6L1pXdt5AjDpWtTy3V4y13I04t6FqPaPvasXvwvsQJzmLeNe9YmwBY/Bv +bAIff75imyQOvFM1voFzxFpiLjlDj5rjcrPoMtFfRDwm/4I/59Qqth/siNjM +2H2JzybmTkkcT3rGHS8vOJ4yh26Hl61fYjZ3wpaIXZfHGuIu65/L/E2ftTfX +bBujKsZXcAoMuDRiau+qfX1fvPXtVdvZiopjzYjMMeAHFfvz9ZrvW7Jdguvk +JuQQ5A+8MX6O7Xy9yevZt7IQWJA4xswIGyYP3VpwvAKTjgUuLdSZN6k/ttEx +Ymud70vcI25iV2AmeIne5hScn2ADYCZ4iW4vbfJ64u2n0vsVOu+TwPLFsR8c +uCbwBCxCD5yFbpZGTMTP2bsj8gJ8ntgMDiyJ89aWHH+oC7DlAYEhjLdGLBxe +cu6EH50I3fHNm+P7vDv4PS9wm7lRsR57HFWyTeKjc0JmZH8k+i0RhzkLHJsT +voyvDol4x965Mf5YwTkHe/DptjiXfHJZ2PBtJZ8LNo4reQ/reX/sAMwZFJhK +7cNbLQp7/mGT86E7RZv0pm1qy1LXR41hh8TcjYFv2AJ5GDkY5ywI+cCZkRH7 +7s2N9c+I12l0lRlvyE/aApfAQ3gSu0dKxu+X7P/zU8cL1hxVm1V2TgtmrAwc +a5XNPQeGZtZZv9DbeV/lXldrbk9q3fRX/2jEfs5EL9xlBDhVMl4Qt4lp99RZ +FmQCa35T7zzqPJaAG2DDpKhvsCXu0jd8bUXUSAejBh0SufdVkmF3ar6Ta+bz +fOZ3uy1s5hp9f6w1s8vW1eC4Fxg6O/SA/z0UPgiu7Q0/+qb2Hkx9dov6u1Lf +jzxgX6x9t9F52wbRA7n9dkzokjyYPJO49kRg15KoQclR+4ee8Z/lue3gqag3 +ewUespZxbIM4NjziEXoqhq7IW9uj7iMuDos6At1jd+i/VfJ3yew32BNjYBE4 +tzDi1jZwUt83a/+DotXM/jlDdLrabPUniBYy+yvvsynyOt4c3YD13TRfzOxb +nIUdcF5JYz+Fv8bfL3gvtgpWgXHgLWffUrJ+2If9fxVnI/8HA+E7P+y5klk+ +ZCPnfT94co/tqfn9WP2umX2gQfTezHXhuYJzPvB/f+7+SzXXBxOinqUeJE6D +aTdEbkUdSh02J2xzaNn5KthKfnRF4CNYTn67KLByScTNfmG/vB1YvDhiIvdG +XuL02KhTVkWNzLvvjjr0ROBnve5RlxnbctGZmfOF99TGZa6F0NnC0O3miDnY +0pnwWd6O2AW2wD+tOP/al7tWPBl2RS3COmLdoxXnt9SFr+de81runId54snO +1D6DTXCPsVFzzQ4Mwu+oEe+Oceom/gmA4R1lr8NHXwXjMteyxIR7wv6/p7FP +Uv8T+bvoDZlxmNyHnI5cgfq+Nf4zQMdFnOA9O6PGr8sdY+pzx5HWWNMe98Bn +wWT2wo+6HLmQHx8kV8YPj5CnpcYRsHJP7J0ruS7MbP8Do0YjZl0ijFgg215T +cVzGhrADfL8z/gshS0vID2avi3xvSs34+UJgHfITpzi7I/SGPW0PjMLfJga2 +YmMTwr9uaXT/C+UJf8yMIZP5pxc56IzcvMg5wUawok/YUqXimPev3G/SEm/H +/QZGDkAcHhj3JXeonf+3UDPPrlF7tgaOzYh/FtgnvBgnpnxcte75P/Ry5pr2 +gdw4C67+M3futyfiFDnmB4Hh1CXgApiAz00Kv0uK1j8+T8wDr2fnjkd7Q2/E +KXAevP9Dbmx5Mrdc5DfwwY/aQk5wbHrUz+dinHp/eNQg+Bc5JzUO+daseE9s +6dqIT8QmYn9H2OHOwMFdIfO5+IfwjuT4kjwhd/y/LmrdtfFfgpgC7Yg+OUj3 +yEOwBWq7YtxzR9xxfMiBDLdo7anUdWBj5C7UVvw3RQ5kAGN6B87wX3Bs4NU3 +NLYqdfzFL/+S2jfRB/KDt8i2NmwG7CZfAPf6aP3LqeMI/5bGxLnDNN6cuSbh +P+VdkUfdpLHVqTGZ/wxfhn7AjNdS2xP2wlpsGJ2ui3MfCl9hfH1qXvBpjlp0 +X9SgZ4PnIa3pTP1u4CM4WZYfHNfY56En/AG/yDTeEXUEsasv9UTq/AcdoMPH +I7dsDWyhZu+IWNwa8R27ulF7P02tj9cj3ycXOoFuIk4M1ZrPUmMq/4fORlzG +3kpRU4NHW8NHpkTswUfIJdvjXwH/wsk7idv/B2oTP1Y= + "]], PolygonBox[CompressedData[" +1:eJwtl2uUllMUx5+ZqXea93ne93nmLSxdVJMYtFhULot8QBcl0qoll6VWNLpI +1EhNCF/QneSDJWpKV6xuotyWJZWKQveQS7rMRTE1ZZX4/fvPh72e/T9nn332 +OXufvffTdvCovo/lB0GwFWoE9SgOgruKgqCKwaaZIOgO7g3+A5yA7wd3SwfB +jIIg+D0OglqoXWEQ7GT+CPxmKA88EfxANgjmJ0HwAzhG+Rz4zaz/lPUbWZ+C +7wMVgaeB97O2BTK3IX+K9RfC/83YJeBd4D/hj0OXgX8CD4Ffhsx+8CpwE/Yb +Bn4VPAt9o7C3G/p7Yf9vzGfBh1nThvkd4APwGeRvBNeBQ/h7oefB41l/An3z +WPNk4yCYCQ0Hz46wGXsrU0GwEv5kGAQ9+Y7mfC3hh+a4Q3AGvIS19Yx1B4d8 +m0K/Qr0iyw5Dz4XwX4be/332vA58DVTB3MfQCPiuUBqZMqg5/LrQ97MS+WvB +V0PjkF0LlcO/y/xs5ir4roDegyoL7MMPGnRorfZcDW4BXlNgnS3h1zK2u8Bn +GA7uCD2N7iGMrwpts2z9E/lh8CcYy0EPQCuh96FFBY6hEuaXhvbH99zZWHAs +fYytwy913NFK9ikFj+DuDoU+k84yHhoHv52xqrTXnMEHJeipwR/r4Bcx3w58 +MXQW/BK0L99j/8K/DP0Ibg/+D74aagbfHx9fmdjH8vVFjJ2E74c956UsUwOe +qbuFfx16D74+a9kUttSDh0J18MXQfaFtkC212Lceviq0T+XLCVALzphw3uaM +t4I/wrcL8zVp+/wgeBdUnbZPF0e2fSb2DsfeljmvrUD/Umz9BP5WZE4jOxx6 +MnZsHufM5fA1zN/MfG3aPjwKvgXcJN9rNFcd2jbJXKrYjRw7ejOD4RtDncEd +mB/A/iNDn0FnWcMZD2BLKfa9CL+ePf9N+U2uxr4SZJ6DL0d+DzjOWK/icyPy +hYoF6AXdk+4x4zhVvG5mvilzE6EHGZvFfLOM40rx9W3WsZqLPKeYTcFPgJ5X +HDXc5SC9qYY7zUaOQcXehNCxVRZZVjFWAf9U5LmJUB78eOjZ0Dr+Dv0mhjT4 +/FjoGJDv9Ub/Cv0m9Bb05nW2h6BOoc/YKPKd6i41NoH7WpxyzNVynvzINmjv +jg2xcTj0W1CM7IO/IvLb61Pkt9YhMq870VvboZxU5Dcn2wsi69IZKthvEXv9 +w/rx8J8xdj7zv+cFwUDGdoaOAflIOpaAPw09dyDPsVME9QwdQ3oDegvK6ZuK +ffdNIvtSPng4cowqNjs37LUldC7Qnsqdp/QWQufQx7HpTeaOonsU/CORc6Zy +pfZUbtsN3VHkGNoDXxo5ZjR2XmSbZatiRrnvcsbuLHJM7QVfFjmGNFbPHpcT +nz+Dy+AP4YOE/U/o/ct3jE2CL4aOMDeQM64t8B0Ogj/NWFmRa4xqjWqO7v3c +GDgv9r6qqaqtaeZ/yHfNU+2LwNvB05H5Ddmp7Nk97Rp1CDwN3CPtGlsDXs+a +1+HfQP5x1hYwVootnVTTsGUO+LuU39zAjO9Qd9kZ3DixjGTP8GZ3wWcZuwk8 +HxqbuKartsumDOsbJV7bGxvewJa3mN+W8h5vx66ZqiPSEcNPYs0e1g9E/wW8 +/aqs766c+YPwr6CjBXOTGXsHfjp0e9o1/i/0fcj6yU1oRMBfg7/KOtcrpyu3 +l0A3gWNk9iK7O+Pc8ipjbdlvBvNfwFfrTuHflO/TjqkVkXsO9R79GRsMvzAy +r5qi2qI9tbd6mE3w1+dcB59A5w0551Tl1i7MF3PeX2L7Tj4NsWUBOrYjuwNa +CL88cW+jM7VhvyB23KqnUm91FTI9GrvnGIDshqxrh2qWatc06HPwQfBU+Fuy +vlvlDOUO+US+0ZmXw/fN2Vb54GXsGRG7di1R/YjdU6nOdwW3gk8Sn+XcHUXO +4crlU1jzcOwaqVqpM5Wir1b1uNA14B72CnO+e9XwdM5n1tnVM/WDv5s1Ywod +M4odxYBiQW/scNY9m3o3yfRkr9HQnELHdH7smqfap56vDlwOrix0zxYljgHF +wnbkK2Pfke6qjv2/gd+ZdaxrjdYuiHw23bnuXjGoWNQb11vfkvVa1XzV/q3g +evAz4FmRe0D1gorBtlnHmGJNMtvg58a2ZZPeaOIarVqtHnheYh3SJZ8ui/zm +9PbU8zZP7CP5ql4ysXte9b7tGTsWu2dV79pa7wm+CiopdM5Q7lAPrl5cY9Wx +e3D14mfRt1H5PrZu+VC+VI5TrlMN/wjZo7H3Us5R7tkQe61qumq7zqSzqceu +VK2ObYv+CaZErimqLd0Ya43sEsZeUz8OPZr4H0D/At9rfeIarroln49Rf5M4 +NhdC4xL3+Or1pWNE4hytXK0cODKxTulWDj/B3EWJ91aPrl59buK9lHOUe46H +7qnLGnrW/wHzPs5s + "]]}]}, + {RGBColor[0.4799129124999999, 0.50704019, 0.5170638649999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNl0mMlFUUhR9FdXUVXf9QDdIYcQA1roy6QePChaDGuDGYOGzUQNsL5xiH +bmggRCbH1ghqUBMQZdRENNK0C3DhkChEhWiUbo2JpgFlSETAET2f56Iu/rz3 +v3rv/vede869t6bMumfm3ZWU0rVjUhqrcUpHSgsbKc3Ry756St+PS2lLNaWJ +tZSub0+povVpGlfqfY32v1KkdJ3W1mh8vZnSEq09o/EtPds0f0nj8Syl72Tn +p1ZKR1q2+YvWSn1nheyMkwMTy5Quk91Ojau1tqrm8xO0Z3zD3ztTv63T2Kdv +bdAzrPmI7F+lc2s13679t7altEf+3KynQ+ee0vp8rX/Z5v0Lqv7m8pp9Pag9 +Hfp+Q89q2bm43fdinBbzfXlKhfaPajynM6WpwmhY/h+RD/36/Xb5dVh2Dun5 +XJjtF5ZN2Vuq3y7X2nQ9yzRv17nz9Azpt56K97C+MPYsqfjhzOKK73GLnrzi +uPDdpZqf3eF3YtQKvO4vjBkYggMj75uTbc/4nw/MsTOj7m+d9GFK2B9f+twD +GrsCe97/0v3fEY6P5MYVfAc0vqgYvKHfy9L3J67E9APtm6v1Exrv1LNCZzfk +PjNOex4nXuLDTPHhFo11rTX0zNP6EzW/P5Yc29MavtdQm7GZo/kqfe8z3fOV +0n7VtOdtxXe07jmx2Zo7tgeaXmuPdTgL1o9ofppieqrufmOn1xbHOrhdHnH5 +tN0cgCs/Kr6LKo7zQPiJz3fIjyf1fptiManhuIDLzRFD4t2NLzo3nByH9uDD +XaUx7dHZY/L1Ya0dk+/1Du8hLlNKY/BQaV28oP0v6/3NwJ84ZNo3qN9+0Df2 +1q1dMMEvsAXXl0KbZ8jOYj33CbvHxOeuzLxvL433qtAU+KOxncn36orfejV+ +oW/ksr+9sK5u17hUfm+VzaHc+WJrw37dK/uDivUHivUNnebIQfnyoH5/SE+v +7PfL1vyqddeq2reeiB9x3Js7FpwhHt82fN8VyePWmKPzeVXP4R02sf2u5nOr +xu1G3bNP4wWyuVN+D2q9V/NbM2vrVa1taXj/8uSxP3zb3bB93sfHHtbxZ1fD +53aETWwfl93T5e9R+Fg6t9Q0zi5871d1vyuF5RV1x76r5pyL/rk/HII/57c7 +hugCTvE72GIbTnIfYs2e/uDwwtA7nJ9zkveh5Q81Lsutq/dzRJzShfrGicJY +Dkbs4DR2fy7MUbh6rLDf+P+0xt8L+/erxrbS/LxH86pstDWcC+Al2IAn3+Bb +ldI5BkzIMzuCc/Btcpv9Ro/ztH9E836N55Tm5FmlNYgdMDlaWIt3Rq3ADvYm +N8xp3v+M+3Jv1tdFrYGzs6MWgG0WObwZ70sjL3HHR5O/ybfJY92Fz8P9rNO6 +zTWOKf3788JnJHPuPlfrawtzcl1hDZF/0NEfhe/xnPa/nlkDl7SMKd/9s3Ad +gvs/5MZ4ZeQZahy8R3M8C4L/5AB4CIbkAOIIRny3N+ofeRQNoq1Pc+tkIDcH +sIUd8hZ1k9xF/AfCDjV3Y831ilyzJb6FLexzrxVNx/yT3P0BtXdHbq2gIfRD +vtoXOeu93Dn+j9izO/YdjpzTEZrYE7mV2BJL4gjnwOXewnWGOkUPQJwnBwfg +I7yEB6uivmwL3MH/r8J9BmfmFK5p1LbloUm0WQkuwsnHM/cu1N0JpWNG7F7L +fIaz4Eac8Z/cx/h5zD9qRc5vmtNwe2ppjqyOPoQcTT7c03LNwH5P5PtvI+fQ +Z4Eh/HwjMAf7uZH7eN/cdP5byRg1lFpK3RvbcOx2hU3iTt8Ht7jv+tx571Ld ++/Som9TPr+TT1dpzYe4ehzk+oid0QV6i9lKDyTvkXNbWNp0TtrWZE9jeHd/F +LzgEf77JjAW6IUfOiD6Lc5znXnChK+JDLnw4anRfZgy/0R33585X5N3BwIzz ++AueQ1GnOUdf1B31Hu0vinlfaIFz+Ex8D8T8idw+PZm7FlIT7yjcn9EPPFBY +V8Tiqdw9wFD0gcR2JPI9+ILF15nvU4k8D+/RPjnqtugl8A39dYUG0dFocIA8 +iEY3Nq0lNLVO81kt15tay/0Edf6U0nmCnAsH+krn4LNL94Lk5nrpM5z9OHq2 +gahHh3LrYkFhHr0deYAeinjBr0VRq4jN01E7VpfuoalXG5o+j51Bza8p7U9D +tjfm5uGm3PcjFz8a/SW1ZX3T8dkfmKDvsY3/eF2NGkQNXBh9HT6OjXW0SA+P +TrEzO+opOj0c+l9fuJ+gnz0YPT8xoQegJ3s5/lNwdjh4QpzgCrwFN2IwPXfe +nF84f3MejZ/8bwAf1sR/q5mZNYOv+AmPJkUPBi7gc7w0pleELsgBe4MDozHn +fG/keHwm3z8Y73Ojj/k3L4Bf6T3osDf61enRS8wOLQyHZsHkn96otF43Zcbm +cOBDnq1GLOj5yHnbQh/kVjTE/oOB/0j8h+uJ73QHntSvevSx5PVxwb+doTv0 +R44ZjfviB/5MVo56tmk8fit8nj1wLgstwRmwg6vLInbdsQ7W9L1ogNoyIf4X +ke/IHRfl9pmY4vfK2E9d3hI9IRgfy6wxekMw5L4ntZwFT45Gr3hT6Vy4K/Lh +jOgP4Q+2J4X9xfFfjvW/AT1GFLU= + "]], PolygonBox[CompressedData[" +1:eJwllEtIVWEUhXd67/Vx7z3nXCslyMI0GgU1qZlQQREFgUHZTKSZ9CAo1NIG +UUGJGGSTRprlG7TCRwNtUAalVLNKc1KQNSjIV1Ri324Nflj7sdb+/733OSXV +ZypOZ5nZEU6MM5Mym06YvYub9QRms5FZW45ZI8HZtFkH9lvsAPse+HxInPwx +uI/g9sG5HJNGN7EhfD3gKvT2EdubMcvJM3uCvYq9jMZG8DCcJfS7yb9kyvHc +9cTHscupWQjuIydD7kE474l3kX+ReJz8Pdjf0AypdwH7MHZjqNoz2WYN4I/w +G2K6o981geYutHdzitLiOLcWza/ES4lPgQ8QLwN342uNS6ML3BuoV8eI3wJP +wB/Opy6cXu72mDMJrsBXRewEGsXcrw5fJbiCmkez1YNDkd7gbxnFXkEvF9+g +6Y554A/Ez8XVg364S7ypBb0GchbBqQJ6l4THSYPv46vPVo0O8PNA2vXkPwNn +obkD7SbsNeAXgWbjPZ0A18PpTOgN/pZNkWbtvs3grdQoTapGFfcZhTMCP4+l +GgE3c8awb8MZgN+ZUu39uWbVvCVCY8C0QxlwbaBdGOIsotcWaRa+c+3gX/g+ +08s5+OXwf3I+Yd8g5w7aLfCfUq8de9Drhdpdn1lXKE3Xdo15uGP48rlrK/XH +Q2m6tmsukxuLpHWXeBy8gG9bUj32XvuMfdY+g1PEa6h/Hb0txMuInw3F9Tc+ +JPdBSrP3Hp0k9iVQr3xn5wLtkO9SIfZ38JZIu+ffQAl4Cd+VLO3QMniSc83U +4ynwD05RQt+cf3vDKWm5z2M7A307/gZ/S06k3fdvvA77daBZeQ/fgJvS+nZ8 +566SGxRot/yN/taelHavGf0a4qXES5LaiRm4v0PNZjv6f8DrIn3LvtNrwa8y +2gV/00twJfwNSc3kOHglFPcm+X/BC6Fq+T9iHrwaKuY7bP4vKdC/yTWKwdNp +zeL/nbBrQs3ae9bP3f8Bnjatkw== + "]]}]}, + {RGBColor[0.539107115, 0.56238831, 0.5664840724999999], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNl0ls1VUUxm9f2/dem/6HVsVoxFgLEgq2wEqJA8YYwWGhiQsTp7gRJdGN +JkAiCSYmYNyYGKcFJgoKlFFxiCZq4sIBoxIHOpK4UNxYXvuKYBX0+/U7BBf/ +3PPuPffM5zv39T78xN2PV1JKK1tSatU6Xk3pbFtKh/U1OlLq1mFR8f6Evmnx +TdZT6tP5ce2v6U6pX/ttRUofS8Cs9r6VnN2ih7W/XfR7ok9q/zPRq2v+Dd+N +og/E2TOij4r/jxavPwf9neTWdHaqK6VSekeqlr253fsL2qyH/UnxlxX/hl7S +YTkfaW9a9E+iX07e+ynkT+YpfS5ZL+S2pSHed8SzVWtF8rdo7ShTukZ0XWvW +k9Ih6ezqMT/73FkseTeJPttu/1bV7Nf7sntc8k7kPv+33TzzSvNcpDXpW86Z +fN3Ravp33b04s+yqzq+S7601+8LaFradbjfva8l5G48cYXtr8JCXNTXHvL/D +Z8ThNq0t4k9Vx+ARnTd095uQQw0Q19GI587C9NuFfcN/YnW/9h7QNyOe6wrT +v2bWXwmbH6ya73XJnG4zDf8h+Xan6EW6t0H76/WdaHF8ifOM5Iyoxr7oTGlP +5jxh65DWCflytb6m+Pfq7EvxjIr3lOgPdfcG0c265b8a8Tmj72t9t+hsQHf3 +5/YXX7EH26b0bdO3VOejuv+c7N8jGUNV53Kd1seqljVSt23YPNDpe9TgAckd +lZ17td5HfYr+ud3xHI4a3lFzDVAvG9vcA9TkgtL56ivdW+QpRc3Si/CQ87da +nXfswB5y0VS9rZKee3PXDnrowe2t7tdXRB9tt03Ys0j2D9R8Piz6aN11QN2w +B/9U3XWJzts7XZ/83q84f6XfY4rl3qpjRHx6tXdFp3uOHn8z+pz9pvYerVjX +fNFjrV4vD5oY8xsbwIodEZ+G/JmS30e03pO7xo/J1w2ZfawpVjtrjhv1Tp+9 +VTPm0MsH2n2fepnLq34fbPc+Pk50+Rw94x2uLerqr9L1cUZ67pKff4n/osxy +JkLWCfmysM2YiE5yhl5+g0/If1ZyPtDZ85lzSd+Bk501Yxn3wav+wKm9UT/7 +tI7l5p+fue/AD+QTb2QSN/b+jX36PIX8/ujvc/zEeSjqd3HUTLWwfPTsLozz +s7L3h9z+4jf4RW4/UJx+qTl2+DaaW++lYFX0Gr7Qd9N13z+WGbuPSWZTst7Q +3kntLVM9TBHHZJ+pF+qb+8SE+PW0mYeaoaYawYOP1AV+UVPcBdMWCDde1N11 +smuw0z3JDMPnfVGfxIBYEDfwBZxZjn+Z+7CvxziEnpeSz5EJPiGrjH3Ou4Oe +w6Sq6/bvwj01W7iHoI/HXOIu/Yjvg+HPkajtT7T+mRnrTylWe3LjxkRm24cC +p4n7wajbsbrrlVotIp49Ua/U7VW5a3Q8sOxo4BB4vrZiGsyfw6agf9SdWTCi +8MqMAWfIJ1jAb2Q1I+b41hd1/lKXMWW62xgMTQx255Y93uXZRQ2AMfTRQNgP +TlwTWAGughHn8GE4cGlXYTuJzQ2h43Rmv/GfWmIOjMTdm6NumcPkFHwDq7cX +fmfsKJxv8j4mOStqxlWwDl7ukF/wDt+ZI72lsenK0jbBB88K2XNY9HKtdwZG +gVX0Gvv0G/kejJr8LfNcvF42fJobizYFbjOj6E36+mTl/JxlPjFDH8o8Lxb2 +GO/Zw3fiSky2hF3D4S/66AXqb2fuOtildaX2ro0+wfc7Ou0/dtJvj8b7jzgw +d+iBjUGDe43APmwg/j0xS8/GnGU+jNed33/k56B0nCl8diZ8HAgbmJ3o7A29 +c7Vdt8y10XfU7feFdX6YmYdz+InBtVEDrCuDnukwHzyDsT8Q8wl9+IddzDby +jM6xsHkqcOzVwJneuHc4/KOX52XuE/pmc/Qn/UAeqH1yQX02/jf7RiIvvC3o +pZdjjhM36ubWqB/q6JLMtbNMdXVZZkzn3Q1O806be6+Fj8haXfiNsibek7zX +j4fvyyIm5HND5BH/muEj+N0M3J6Muc8++qnFc29j7Mbmqcg3cSA/24I+3eXZ +dqRwLl6PNxUY8EhgJjOAel2fOz7LAg+ZgczCj6IGZgK7BuPdgS+84Z+KtyWz +oz+wiBzNRJzJ49ed5+sH3eilZk/8z99G0OPd5j+Q2T/8BJfRtSTm8kRg6dJ4 +R/eHnczq54IfmnN+317azrsz65wMXU8XfjNtKjyP5sdcfjJ3L/GOG4pZzEw+ +FPmiZqi7RsyRltJ9Wylt75Z4462M+UKu6UtkQi/M/c5dkXtGMtfyHvuyNXLK +3sbQRx1MB+aDT1tD/rZ4J2PDBaXfeReWjn0z8sW7Yzb+901GzPvifbw2auBw +yJmJGbQ2evyd0u+Md0vrpg/B5Kn4/wD/uf8S2PIf8JRKRQ== + "]], PolygonBox[CompressedData[" +1:eJwtlElI11EQx5/b/6/ib9FSKQqy1CjI1JNtZFSkLRdvgVp0rKhLUlopBZ3q +GBV1CDLNXStB6VCHDm22Q+IaQdvJLCuXMvt8GQ8D33kzb968me9M1oGjZUdi +nXOVSDxSHzj3LuJcP3ITfNh3bizGuUH0JvRm9P4EO5PtVmC2AaQR/ALJJlA0 +6txLsJ/m3EX8uznzwJMpZjvDWQX3R9F/EGuE+634b0AqwPuQzx62VOdWJjrX +y/1J9HLsM9y9Sq7XuNuDDIM78K/DVkvMLuy3kTpwBzII/q438B0iRk285ZRN +Piew3wDHk9Nz7reiP0Qfx79F+YXOhbzfEudcNXfPI0PgHvzPYcvFp494P/HP +8S2GYsUhfeAC3/7+DXs+OJ//rCLXZ8QsBCdxdo8GVOG/i3hXyHF3Mjb0GPQ0 +5Bf2YvQM8H3f/qI/PgBncrYlajEXkVspbx4Cz/JmCfY55aDYxLycYjVRbT5w +doe7x5EGcAmSBZ7BPy9qNb+E/ydiVkasJ+rNSfRG7HPEGCTWes7KI8aJJvQa +7AcjlkMJtgue1aoN/RT6P+RrrOXkeC+CjKMXoSeBP+J/ndyLiXeMeImh2eqR +qtBqqFo+4j8D1G8IeQKe4Ow9+ebQ07NR6/EwsTqQNPBTfIbx7fLmMf9bhz7l +GbfEgQn0Qt96qT9vFLc5e5xsPVfv27z5t7lfJG7iswffae6/9a3n6n0u9t+e +5azcNyMLwJsC47b+qL82BDZrynm/ZzOkWRLnRtFnQpsNcWwaPI39S6z16A84 +Gho3VcNMz2qgWuQlObc91TggLmjGdoBz8N/J3dXEXOIZJ8SNtZz9Jd5e32qv +mql2y8QJYpdizwavCA03IdXgydD+Kg6Ly6qpaquedHpWI9VKNWz3jAPiQjty +WrMSWC7ilLjVi+TEW027iX03NK5qp2i3dPr2tzXINmIXpNosiXPiXm1gsbUT +tuK72DOuakY0K7GhzZY4KC4Op9isD+DTjD7iGRanxW3tKO2qZO5M4Zse2ixq +ZjQ7s4HVTj1Rb7SDtIu0Q8a4uzy02VINVcuFoXFBM63ZXsp7MRHriXqToB3q +7CwS2B/1V+2wLuKle8a1KeQN+uvAclPNXoHLPNsl2uHa5fKRr3ZmBrb/Y9za +Uw== + "]]}]}, + {RGBColor[0.609232745, 0.62626053, 0.6225373175], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNlllslVUQx7/e9rb3ln73uy2lpY1i1LC4JVKUJS4EopEl0YSIiUYTY+BF +qb4oD6KY+CpQ39XQloAIytIFNRQFlxeTliKaqCAFVwztg6FSlgT8/zp/og8n +55w5c2bmzPxnztz83EurXswlSTKjIkkqNQ9XJUmXRq/WPeUkGdDhG6UkOazx +Vz5JcqkONF8Tz6DGSa0bqpPkcV3eoLMDmquyJOkvxBn0h+pjvVcyevIh5x/p +21ZMkm6Nn7X/XGdnNX+muViTJL9o7NbdmdovEX2W5uEszo5p7isHzyfSOZqL +u9h6ui5k/y3+dtHWa1yVnGrduVN25jVXar5L46ie8rL43hXPb5KzvxS29Gg+ +oXm6eJ7V3c6q4Hle8p/R2VuaJ6RnjuhvYpvmP3V/m+YvJX+5eNaK/lgp7MCe +HzQvFe09jW7xbZf9KyT/FvE/LP8s13pEMs/pbId4XpCOCslcqfU58U4T/TWt +GzV/nYWcVyTzpO5u0HqPeNdJxh0aR5KweyIfvrmqs6O6N0f8MyXrimg3pmHH +g7VJciqJOGzV2KyzGWnImSfZzTpv0lgn+vza4AcfzZJzQbTWNGiLLYd7KxWX +XHVgZJ3tIYYHc/Guw1m8Z38a+jblwkfjop03/hZYJjqJDf5/IIs951Nz8aYh +jYsVIZv4bJeu2eBX/O8ngV1wsbEUtB7T8UHOGGCu9Br7c7b5ZCnoN0l/k8aY +7nxbCnt7jOE1+cDZsPx9WyFiRwz7jCUw9ajGBfE+Aa0usLVH64/lwxla12o9 +pjujGls09pUiX8ibG9Kwlbi1pOFzfN8qP7TURszmam5zjPB9pd9ALh+zrzqL +gR14jtj/xKHFd6drjOjO6eqwlT1yG3Lh40HXBN5eqAkfVvitxBQ96MMPHYXg +x9a8eKtrImduL4R84kYeF0wHYwuNM3RRXwbti8Zc2N9RFfrQdUhvGdDoLcQd +sAJfozEK/9uF8AG+a/NbeNM5y6EmNJmOT9AHXon7YuN8vmXPt3zuYQd3F/sM +zC+w/ayv2X58uNZ1kjW2Nhqf541b/LlHMTgjOz/K4t6I/Q8WxuxbsD3q9QXb +ip3UC+rGCeHkuO6n8uelusiPYcd9wDHYkUStgof82GQ6/icmZ6z3Yl3QqHPf +FCKW6KROUa9uzcJvvKXBcRlzrLALft5FfaIeUmOIP7qwhf24c5x6OKc2cIkN +I8bGbuk4pfWpuqjfrIkbZ/AMecZfQ47HMWNvcti34GqO4/KOZG3UnaezsBV/ +Eosu15xe1wFwg293FQOj/EFD5qHOrCoGD7j6Los/4NM0zsfNM0U6azV2FqNm +L3XdXib+/ZL3ahr2YjcxQtcHxcgHfNnhWFNvPhTPTtnTq/OeYvj315qoZcSx +rxD5AL7WOx+Ri+27LJN9R9V/ebTFa+QhF5tW5OOfu461g8YqGOi1XnSQdw3O +tS324ahxBsbgm5TrPwh+eoD26vgLyAdqTqvzrs11jDV+ww/4nH+B2obMFufu +Duua7rrEeYvp2IitvAUZuywHnYOFqOvHS0GbnYWNYAU7210P2BMzYofv762P +u/fUxzsO+S3EDz1z60PXFMe6qxh1dqIiZPXYt9SGZuOQeg9miGm5JnKSPX/4 +1Kr4w+ihyDlwOFAZWONv4j8/6z+d+HSan/8EX2Mb+9WVEZdF9SFzXxp50Oxc +63Ms4UH3LNvDDKao7fRv8CHraBY5PKS5rT78fLfm+7Kw4fc03jHbsi7Xxdu+ +z+If67ecpe59JvuNqqgP5At+RRf2k1vkGD4Yd/2ABzo0fEKPxd2vXJP4y/A5 +/mfd6H+DN4ITbCKevBHsjBqr/OXQp8n+H93f0udiS7/t6S9Hvh0ox5/Q7drF +e/rsw59KYRv9L9gBD+AMn/Nm3jvVd4jPGvcLYGPS98Wwgx5sm/FD3oItYkF/ +fcK9NLSdpr+exh9zvd9sd37NK0XfSP9YUYp/90o5/rom5w44bXX/sKwUNi3P +Yt9tG7CZ/2W18xiMcZe+eMKYw99d5l/oP7HJ+TDLWIJv1P/F3jTkLnLPCz6Q +T9+0xP/7kPHWW44earP7Q/6szY7dH2lgDwxyb4X7S3DB28HM/VnQ20rx3q3/ +8y2y+OeQ3+2+F3/ARy16qhS1+4ssemvy80nRHrGv8Bk4a3btulSO/u9yOXpD +5PP2TtcFePPWi/3/AkXj2gg= + "]], PolygonBox[CompressedData[" +1:eJwlk91rzXEcx7/n7OzYWef3/f0OTYhJ4sxTsXHHBSU7WyMrypILcSPjBjfm +hFv/AqUWF2ZPZzPUIuJGaWZTOGdryFNLKezsIfJ697n41Pvz/Ty9Pw/fNcfP +tp6JO+cakQTyN3DudqVzG6qcm4ucG0CSi5wbxqkALqeduxa3t5HQuSseH/w/ +od/DnuWtq8K5j+iD6A8CwynkFbZJ4ieTzl0g5hCxq7AvkG+YmCJ6MeNcDvsS +yPRiy3ur/Q3/x+A4b9/BBeQy+k9kGf5F9Alyv0X/EzOfd+BH3mLLyCi4BWkH +n0D2eaup2pvJkYTfCvLPUG+It/feOIqrYhTbFxi3i+gluL4mJose0N8Y+A4y +nbAeu8CHiZmBzwf0HvS5tPleJf6YN07iph7USzeyGFzirQ98HrkB3oP8JvYp +OTrANdR4Aq7H3oS+G1knzFs78SfRL8E1F1qv/fTTCD4I5+pq29EY/tPsqBl7 +J/m+4r8aqSC+GY7rsTXgvwn9JfewAzwa2i51A7Pw6fE2e3EW9+0Z8z2N3kGu +Xfhfx36T/F/Qt2J/UWUzXo7+EKnDVovPfeoVyDFRaTucIv9a4pvIVUYfwDYf +2W1qxpp1lrfZmPXQAF7AvhH7CPZ/gd2IbkU3qlvtDm0XU8jd0Gaq2WqmbdiP +eNvtKfj9SpsIq4dz3mai2WgmteTflrHZqqd68AFvs9fO98vf2270p/S3cvi0 +puzmV6IfhUNeXMgxjm+vt93rD+zN2Aw1S+1Uu9XN6HYiOMzDrc5br5qBZjEU +2V/UTeo2Pwc2e93IztB6Vu+aUQz/RGi3Lk7i1oJ0pmwHg9hriP8Rt5vR7Yij +uOptKbY3oXHRDsfBz0K7Jd3sc3B/YLeqHd6KbIfapWqoVh77lqTdXAnbf/En +qXQ= + "]]}]}, + {RGBColor[0.679358375, 0.69013275, 0.6785905624999999], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJw1lU9oXFUUxm9mJpNOnXnvDdIEESxS/6HL2kUE/1GqINaCi1RciHblpslK +u4iWDt3XmbUuE6ugommS0UUSDLpRF5pYY0HaxEaTKGgDWtuk2n4/v5PF49x3 +7rnnnnO+75x797GR54dLKaWv9JX1fborpUu9KQ3p5/4spYNaPyD5loza+qZk +82clpSv6OHi5ntKjstknm5LkH6H/IPf6Q8l2xWcmdXZR//W+lBYkZ0rWYz8m ++be+edm82Uipq/ufkc0e7Y3ouyR9J+7F31Y1pX+q9rFetQ2xTSuOFcXRlTyX +OZd98tOjM0e0/lY2/8n/Wa23C8UUNoebKb1Qdp7Tsrmtz2t8dlSTpPM39L+s +fC/KfkLnlnsd840ey6uxflt+v9b5dyS/0dmpmn3gD79nJN+IHB/WvauK/7T0 +o2Xv18NmNuyJYbJmP5x5SjKXfq5kn1mfY+b+l6uOgdphyz1Xov7UrVJxLtR5 +QXJRX798dBXf9C5jRD3gwdGy9azhw3jkOBb139Z3XGeXditPxXBK+rmaz2A/ +ULJPMDyQOa7HFddg2HDXc9IP674jmfOjXsTdk5k/OzyCWzel/z537uclpwrX +qBW2YAqXbq8aI2J4UHv92ptoGKNK5E4N4AR8gL+t2OsGf+7NzQlqAY9+rhun +j6U/lfneUsO4vbrbuY82vV6R7RO5sXhMckN2x7R+Mnce8JhcXsqM83XZf1c2 +Hju4jMV6veG6P5RZtxB4/dDnvOD9eNjTI9wJRujgHLzBz+e6+7r25nPXi/jJ +g5xbwYlfFMe2MFouzEVyouc7UX9qu6K93+RnKje+7ehr8ulEbE9XXVN8Z9FH +Z8JPO2zgZCd6f0053qlYf5fvpuRa1TGB58G4F46cCA7gG7tW5N8fucOL1eiL +/TG7mGHdwvrPGuYXdaGX/6qbv6/J5qPc/oe0fjGznv0UdZwP/1n05rvyuaT1 +e4V7CFzAkLpQn8nccwmcRgKvpcAMyT+1PltYUnv0F8JmXPrzWn+imDeq9okd +fITfcPsVff/qf1P+9/Z6fjEHZmvuQ2yYJcyQ2cAKzKg/84l5SA+QFzOF3PCJ +P3qWHrqjat1W3XnDWewO1XwX93AffT4S55hX1GIy5tXpmA1w6kDTGOyXnCkb +B3qQ+UGe8I25vhWzhf0UfUr/Lgev4MtWzP/3C9ftXMO9iw2zZiZ8wU+4fy18 +DgePiPHL3HPsi9zxogNr8qMmcOlEvGucWQzZH+/ORuByITMWP2bmJRymttRj +M2rySM0xMFfbcR49OrA+Gj1HLdi/Fm/c8eDPetw1kdv/at2Yj8a7tRMfOXCW ++zjPvGWN/8Oq1evy9WxhzrDGx9V4f5kj5LQeWIA/ecGBX5ue9WtNY46O/O4r +jNPeht91ODddGAdmQSV4tyfe8Xty48ObsBnvHHXgTZgLLjEvmWXMMXA4FPzE +ZjByuavhe7mfM8T0P/9qxpK+/Skzz042HO9s9AXvIfyAGzs1Yt2KdwHO4XMg +bMZibhH/xajHUNS+He8w7wP/1JN6D0b9eT+78Z7iYyD8MJ+Igfl2Cy4QceY= + + "]], PolygonBox[CompressedData[" +1:eJwlk7trVGEQxWfXfRF3772LIIpg0Cj4KKON4AsLEdSAhUoqSWVjrNRCBMHe +f0BL12jhY/PEIhpflWlEQwyIm9Xg+gAhnWaj+DucYuDMnZlz5jvfd7cMXTw1 +nI+IfUSB2J5GtIsRq7mIbeA/1YibNFTLEe/I99QjptZEzFYi9oKXk4iNpYhP +zCzS+4ies9Qv038i4xvRhesHPW3weGr8nRgD52sRT+FfJmbg2km02GM9y+wC +v9AO9F6gPkg+mXkXzUyAc8xPg4+g3099N9EomENcxzPv0kt9LfmOxL0jxD9m +nxBL1FPiPVoHU5/9HJqHwHOpa/JghfMNMD/M7FvOeCzxztr9L98WwBPEYtEe +ToL7iP3go/A10PrJPpsq3lm7N+HPsW+H+ij4Q2IueSpvW/TXK+b4gn4P357l +vfNUZg/l5Sz5HZ2lai7NaFaa0tZO2q1N/XxPxA36B6mPJr67dfQ0wf113+0q +GpuZ3UB+veCZq+DH6C2VfMe6a2lKe57617o9kTd6I9eodTN7/QuOHLXTxJWi +PTyZWFPaLfJx8D3658t+MyPgV2h0qa8QL8EFOAfofUPPLeqXEr8N9bymPkZ9 +oWyOuzpfzW9J3+6Tz9Dzu+Q39RzcW/NZp9n3I1xb+XYGPEd/I7OmtHVnnZo9 +k3fy4DNeNmvuFae4O3V7Ic/k3e3Mu+qOddd9qc8qDWk9SO2NPHkIPpD67Q3p +H4H7cGqsN/2N/D88FZPd + "]]}]}, + {RGBColor[0.7494840049999999, 0.7540049699999999, 0.7346438074999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNlDtvE1EQhQfvOraF7bVpsg5pEFAABfkFASQ6SEODRIfpwRYSiYTSpOAP +xK5AprENVIZAkKCIFAg1SkeD8oIANRVUnI8ZJIqre3ce586cOXtPtO9cu10w +s7taiVZLH12t9zpPpsxmtT7LsdcwO1Y229W+WzeryL6jfZKZHej8XPtYvjw1 +e1kz20g8JtG+I/vvI2ZfqmZD+RJiFL8v//mK2ZbueqDvj0WzgTAXtN+Ub6y4 +h8rdUj2p8p7o/Klk9lT7SHmLqueXcK+XPDfVXdPKKaRe/xlhXZb9nPZW6rib +Bbcta3V0non+2lqDovuwg32v7Fj4iJmRfansPnpYU82Hyn+Rec503Js3Pe5b +0/sk9pX216qjqPN63W2Lgc/irlwYFzPv/ULmd96Ke1mtmEse35zPRo/0elB1 +nuEbbDgCl77hkt7nKs453P+ouX0+85lvBiYz4w7msqr8r1N+N3XmEQMGWO8K +PjP4f6z9sOm9Mec3queD7Kuy/9Q6LpyK/N9rzvWlzLmDw0ehnfmi83i07thX +G66vYcVnTd9wQj3Y56IX/KOIYR9G76xhxKBlaiCfe1ZSv2tU87mc1J3PGq6N +NdluNBxvr+paR88ldFt1O/52zCcP/jrBD7qahLbQJTxSM73CJ5pmx76t+Puh +GbSTR11gMZ9BaLInf18rS7xv+oejYZz3/8MFE+6p7988//rN/dSBVloRzxk+ +ktBjK/TSDb7T4Hwj8MDpRS3bcaYX4qgRPWTRdy965N+Fd/o7JR6v6N7ToT2w +qQE/7wy19CMXzOXI6wTP4zgzt27kgofWqZ2amTW58MA82mHjvcCONuAkj393 +JXpfCM3xtqFXct5W/Z9aijeH/vpRWxLvRx71tKKm9fjf0Rc6mA3t/QEMpKxQ + + "]], PolygonBox[CompressedData[" +1:eJwlkb8vBHEQxR+7e0eyt7t3lV+JCBpqrSO5Do1GzR9AKxGRSPgD0BG6Q0XO +b4VCqLXKO8ehRUPlM5niJW/fm/nOzNuBhaXZxXZJ/SAEZwWpC7IaSceZVCs4 +r4CRRBpPpSr+fE6agE+C/ci1T2rLqXszaGPUv8bSX5vUQqvh/aD1wU/ANd4B +30/UzuWlHXidmaUO5qC94V/Qsx661sBroP3y3jLfK0XpHD8IvcZqrcd6n3nv +MPMdbJcp5g3h50En/C6Q1th3OHWvm/4rakcTv9Vu+sDfy3z3B0LahQ/iR6Hf +1Iy9x3pNu4RPU3NPbdMygL8XfVfbsQU/Td2zG17ovwW9Oc/EstkGj8wO2G8r +cRi3nevwo8xvs39UzTxDy7IHfCUO4/bGTeyZWrY24xu+wfw08Mw34f/Cc0dK + + "]]}]}, + {RGBColor[0.8083606666666666, 0.8121846666666667, 0.785958], EdgeForm[ + None], GraphicsGroupBox[{ + PolygonBox[{{333, 328, 286}, {2127, 2128, 224}, {3826, 224, + 3256}, {3974, 1717, 3973}, {2128, 2127, 1478}, {1478, 328, 287}, { + 328, 356, 287}, {3730, 1476, 3731}, {328, 1476, 286}, {3257, 224, + 3826}, {3256, 224, 3828}, {3827, 1478, 3732}, {3808, 1476, + 3730}, {356, 328, 210}, {3828, 224, 3258}, {1476, 2127, 224}, { + 1478, 2127, 328}, {328, 333, 210}, {3732, 1478, 3743}, {2127, + 1476, 328}, {3455, 1582, 3847}}], + PolygonBox[{{3731, 1476, 224, 3257}, {3258, 224, 2128, 4361}, { + 3847, 1582, 286, 3807}, {3743, 1478, 287, 3742}, {4361, 2128, + 1478, 3827}, {3807, 286, 1476, 3808}, {3742, 287, 1717, + 3974}}]}]}}, {{}, {}, + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3455, 3847, 3807, 3808, 3730, 3731, 3257, 3826, 3256, + 3828, 3258, 4361, 3827, 3732, 3743, 3742, 3974, 3973}]}, + "0.8260000000000001`"], + Annotation[#, 0.8260000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3332, 4251, 4252, 4017, 4018, 3300, 4319, 3299, 3619, + 3493, 3765, 3766, 3767, 3877, 3876, 3637, 3903, 3904, 3902, 3561, + 3905, 3560, 3627, 3625, 3626, 3506, 4265, 3507, 4262, 4264, 4263, + 3301, 4320, 4321, 4021, 4020, 4019, 3492, 4582, 4583, 4376, 4475, + 3297, 4186, 3298, 4016, 4015, 4173, 4172, 3595}]}, + "0.767`"], + Annotation[#, 0.767, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3454, 3804, 3359, 4134, 3358, 4403, 4405, 4404, 3452, + 3914, 3453, 3657, 3663, 3662, 3670, 4014, 4013, 4012, 3585, 4347, + 3582, 3624, 3623, 3635, 3329, 4331, 3559, 4035, 4036, 4037, 3701, + 3316, 3674, 4034, 4033, 4032, 3505, 4261, 3874, 3875, 3763, 4429, + 3764, 3761, 3762, 3296, 3825, 3800, 3801, 3776, 3330, 3712, 3713, + 4277, 4278, 4050, 4051, 3321, 3678, 3322, 4053, 4052, 3513, 4279, + 3594}]}, + "0.7080000000000001`"], + Annotation[#, 0.7080000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVzr8ug3EUh/EjwdT6MyAVBkNZ6dZg07QdDJUYJCwugMXUJlyIO9C0Gjp0 +4g5QTFq6YG5iUBJJP4Ynz++c7znveZcOj3eORiKihPNExP5kxPNExGwy4pFn +uDQd8eS9ImtORbT0HrzbGNg5kH3zvfoO12aucKZ/ilvcoI0+Xs3WuYYGtnz/ +knPck3X+azey3OAu13nPzJf8hN/Vm2598jp/8AZnZGks40/vx3/84kJWxZv9 +Xdk28iigqF9A2fyaWxmsIqWeszvPL+YqPGquKFvwTssWuSMb1x/DEGStMPg= + + "]]}, + "0.649`"], + Annotation[#, 0.649, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVz7syQ1EUgOEVhctMEoTQikRPZxQaZbq8gIyWoTKYcalUNBr0bgnR8hI8 +ACKPwIxb3PlSfPPvvc7OPjm5mYXSfCIiptlPRiR6Itr47TbQP90z/9YfPvji +k13zp96IZipiUt/1WV91OR1x7cwVb/ZNd3WZFbVkf2B+yBFl+5FMRF3zeqcF +nXU+rSmSvJiPmY1y4z01+3E911vd0k33b+uqe9dYZ8r5C//1US91w+zBeocz +TqmbV81r1vd+P2Fdsa4yR8X+hGManje8Z0U7dFDbW99HJ4v00U+GAbIskWOY +IQrkW/fwD+RxOGQ= + "]]}, + "0.5900000000000001`"], + Annotation[#, 0.5900000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVz7kuBUAUBuAjQWVvbfEEnoFapXFVxBaxXQUFL4DCFtEIiX2NxFbQ0HAl +lvAUtlBxr8b2Kb7Mmf/MnMlUtSTr+7IiopP+/IhUccROXkRvUURHYUSGND32 +2/Jua7v9B+902W/Ja937LYgY45IUP2zq1eh9q0e54JwvNvRa9HK55oqMLKP3 +SZpG8xNUq9f12rw5oj7hmFfZo/WJB16oM+fZ2ursmv40S2Yss8gqK+z4b1lJ +RDmlJGjgzflTd8/+/0c3u7IZbsy9ZZwJ9mSz3KnvmWSKfdkc2d7JIWlGPwey +eYpkxQzIBjmULVAhq2RINsyRrNl/mvgDMRNFDg== + "]]}, + "0.531`"], + Annotation[#, 0.531, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3215, 4081, 4082, 4078, 4080, 4079, 3214, 4076, 4077, + 4073, 4075, 4074, 3213, 4071, 4072, 4068, 4070, 4069, 3212, 4443, + 4067, 3341, 4065, 3340, 4066, 4442, 4064, 3339, 4062, 3338, 4432, + 4063, 4273, 4384, 3511, 4041, 4042, 4043, 3676, 4040, 4039, 4038, + 3510, 4272, 3592, 4170, 3409, 3998, 3999, 4000, 3423, 4642, 3545, + 4640, 3544, 4641, 3689, 4619, 4618, 4489, 3571, 4715}], + LineBox[{4216, 4124, 4125, 4121, 4123, 4122, 4214, 4110, 4111, + 4107, 4109, 4108, 4212, 3798, 3799, 3797, 3843, 3842, 4210, 4211, + 3790, 3348, 4099, 3347, 4424, 3841, 3447, 3787, 3345, 4088, 3344, + 4423, 3840, 3443, 3784, 3343, 4087, 3342, 4422, 3835, 4427, 3439, + 4201, 3490, 4250, 4001, 4002, 3546, 3618, 3617, 3690, 3491, 3668, + 3751, 3750, 3368, 4142, 3819, 3820, 3412, 3821, 3963, 3650, 3411, + 4631, 3466, 4630, 3465, 4690, 3666, 4665, 4664, 4613, 3498, + 4712}]}, + "0.47200000000000003`"], + Annotation[#, 0.47200000000000003`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3436, 4200, 4199, 3938, 3336, 4061, 3435, 4198, 4197, + 3937, 3335, 4060, 3434, 4196, 4195, 3936, 4059, 4058, 4194, 3235, + 4193, 3935, 4057, 4056, 4192, 3234, 4191, 3934, 4055, 4054, 4190, + 3233, 4439, 4438, 4354, 3433, 3640, 3639, 3209, 4339, 4340, 4338, + 4342, 4341, 3570, 4336, 4337, 4333, 4335, 4649, 4334, 4711}], + LineBox[CompressedData[" +1:eJwVzrkuBVAQh/HR2GKvJGJLhAIP4CpI7A1CI4RCJ+EKEjQ6VCqxFrZeonfd +whbhBTyAwlqgsjR+ii/fzP/MOXOqx6cHkhkRsYSx4ojFwogFzKMsP6K0KGJU +PqefxQxK5QOyXGdpJNTXsjP1FY8XRFxyh9kfbuNvbufdvIgkT2ESF/KUe+fc +pf/lL32negTD2HDnBK32tKAPvViz5w6D6lteN3OMG/2Md5LemeWEsyb84OL/ +bzjHN75Qacem2S1UqA/cqeJ77+zKjvTbfMg7fM8NXMv1XMeNvId9HODM/TRe +/WfIjmee5hdOyU/xZO4RNfJXu95QgVV8mpuTr6iXUY4He144U15bEvGuz+QE +mrEgz+FsZOHDeR2/2dGDfn0nd6MLE87+AAObSKM= + "]]}, + "0.41300000000000003`"], + Annotation[#, 0.41300000000000003`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV0Lsyg1EUhuFlKHP4E+eKqIxTR9K4gehojSIawnABWmQGEZUc1K4Ck0qF +Lgr3YoxnF++8+1tr7bVndqVxvns2FhH7aOUi7ksR6/mIJd7gDv+hjTW5wqs8 +UYgYx528Iuf5BKeoyk0+Rg63uME7FtxZxK+ZEr95c5tfOeNv9V4xoo8BjtRG +ejPOs5jENKawo/ei98QDFNQe3H927jqX0w45S/vSe1zX66OXZtBRny/LPMdd +LqZduMCjvMeX3Mr8D19zm394xDV7q7gyt8WbGKp/6n/hAw27D7GMAzTxD5He +LPw= + "]], LineBox[CompressedData[" +1:eJwV0rtP1EEQwPExaqG8lFKIxIgJD0lQCdhYKGojxkQEC7GxECnuIBQUYoGg +gPEFHFSKlYVaG3xG+SckNBSiIiYCUlghHp8tvvnuzM7O7G/vDlzrvpjdFhHv +0VgcMbk34lhRRCU38BTnkcNR8UE+wg1qt/OEuJ5LuBs9OC7OcgbFGMcY1gsj +9pVGvLDfJH7J8zzFV/R7zbc4z6U8q/7VnojPfKckYgj3xKO4oOaJ+Cmm8U7u +LaqsC1GEApxHCwbxSZ9m886lM+lb072tP/JuHuVdPML9erWouS0eSHOsc/IL +zn/gHdyBLns30Ilh+ZvO3eU5exPcmL6fv6Q3MH+T/2EDFd5iP2btH3a+DtWo +RQ3uq3+OYbPPIpP6c5bz5kTqxf+xiTP2HvIjPMAYHmNafY4nMY5n6XfjOa7m +Sq7iQ1zD3/EDS+lN09ti2T2y+i9xhn/yG/kZfFO3iDL5X+60qE85D2IIvekd +eQBl+Gp/mXfKr/GKuIJH0Cf3W7xuvcYneJX/8F8zT6fvxEk041T6P8hf4ja0 +4jLakU9592tDO67iuvfeAkiWaZY= + "]]}, + "0.35400000000000004`"], + Annotation[#, 0.35400000000000004`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3428, 4399, 3429, 4547, 3333, 4545, 3426, 4398, 3425, + 4544, 3231, 4437, 4436, 4353, 3427, 4546, 3334, 4188, 3431, 4187, + 3430, 4548, 3232, 3923, 3922, 4189, 3432, 3733, 3734, 4691, 4692, + 4657, 4658, 3282, 4694, 3281, 4656, 4655, 4684, 4683, 4689, 4693, + 3283, 4660, 4659, 3400, 4685, 3605, 4682, 3395, 4651, 4652, 4653, + 3417, 4609, 4608, 4502, 3394, 4596, 4597}], + LineBox[CompressedData[" +1:eJwV08dvz2EcB/BHS0SCToSbg9ESThTVqUONrqQ60QpXbWnLQVsUEf4Ae7b2 +ONhaq+VQQuxxI8GBA+IgMQ5e38Mr7+/n83ye5zt+7cRVjeVrh4QQfpKaGMKv +hBA2jgphjOtE2RwfQpusjAuhimoujgxh0FyLfqP1Vtkkd+r1jnaQ+rbcxWrn +7Ja59tW5Xs58MvjrnJXW/sksdSY1VFNLMSXMYjbvzJXKHHLJJo8F5LPCfX+Y +aYju43qcszNkvfqhfrHrweie0TO4Hh49o/qP5/5NnP4I/aEyjaN6eerJ8giH +eWB+obWi6PuQTBJv9eud10CvPbFmq6gmRy+bEt+olGLKKeO7fb1m+pjOTW5w +X/+8XOKsFLlUXpAx7nVOLlZPlYvkWZnp/Cxq1OPVm2inTt0pO5hArfq6HGv2 +tCyKfuvoN+eNe56Rr+UGmcwpTpJt7qM9n/nEIzNl8q53uMcdBuhnptnNcgvt +vLD/Gc+j51J30kGKuS65ja28sv6SUuc+dX637OEWfbSzx/pe4mnmsblL8olc +JxOi7+3cfdHzmz8mC9RJspU2CtUtcj2J5KtjzG53xmV1hTpVLpNXZKxvfi36 +PdXTZKW8KvvNH5fdTOEEPdG76s/zPumkMZc57NDPc5+vrt8744v8EP2P6TXx +zfpB+w8xiQPsZ0C/wDMUEk+6PQlyRvR3bb1LPUw2sEbvP9UkffU= + "]]}, + "0.29500000000000004`"], + Annotation[#, 0.29500000000000004`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV0EkuRFEYBeBrRPRigiAxl9KWhLIKS6AaI2IV+r4ZYw9WgGpUX6WbobAN +8b3Bl5N7/5P/NROrmysbbSGELSrdIVz2hXDFCafk3K31hvA5EMIX+f4Qniiw +0BNCXZbknu4+B6T1j+URh5TNG3pD7odpOM+5b8p5mZctuwuyS2ZYZ1n3W1bd +J+QvP1ScX+17o8kLzzx613j0Xuzau8M2S/qVaA8dJLmLvku2U6bEot61Z95w +S4svYkzZM02MWWao64+bjZEgbUeKTnJmHzIra96nKKvRv5OTun+e/+5ccz6z +65wLMmZFs1EZN8vq5LiPvo8HKmR1RnQCKZIM8g/2NUeZ + "]]}, + "0.23600000000000002`"], + Annotation[#, 0.23600000000000002`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3204, 4234, 4235, 3868, 3484, 3869, 3458, 3671, 3494, + 3705, 3596, 3597, 3495, 3873, 4426, 3362, 4135, 3363, 4147, 4148, + 4146, 3391, 4528, 4529, 4375, 4474, 3291, 4473, 4374, 4527, 4526, + 3390, 4143, 4145, 4144, 3361, 3805, 3360, 3806, 3921, 3716, 3715, + 3714, 3457, 3848, 3456, 3867, 3483, 3864, 3866, 3865, 3878}]}, + "0.17700000000000002`"], + Annotation[#, 0.17700000000000002`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3203, 4589, 3562, 4412, 3563, 4590, 3509, 4270, 4271, + 4267, 4269, 4268, 3289, 4314, 4315, 3897, 4317, 4316, 3518, 4282, + 3517, 4574, 4599, 3230, 4600, 3920, 3919, 3918, 3325, 4542, 4543, + 4397, 4541, 4540, 3290, 4159, 4160, 4156, 4158, 4157, 3629}]}, + "0.11800000000000001`"], + Annotation[#, 0.11800000000000001`, "Tooltip"]& ], {}, {}}}], {}}, + AspectRatio->1, + Axes->True, + AxesLabel->{ + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + AxesOrigin->{0., 0.}, + DisplayFunction->Identity, + FrameLabel->{{None, None}, {None, None}}, + FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines->{None, None}, + GridLinesStyle->Directive[ + GrayLevel[0.5, 0.4]], + Method->{ + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, + PlotRange->{All, All}, + PlotRangeClipping->True, + PlotRangePadding->{{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, + Ticks->{Automatic, Automatic}], ",", + GraphicsBox[{GraphicsComplexBox[CompressedData[" +1:eJzFfQdUlEnTLmvOYc1xzWFNmLNlzjnnnMOuWTGLOSOmNWdFERVEFEEJEkTy +oAzIIAwMDMOQzO6a7iwvT/fXPTv//ue795zL8Zy2+u1Q1VVdVV3d01175u8j +5+SzsrKqVsrK6u9U/rOvN8D0z4VE2JfBcW5LTP+Cpe8qBud+jotm8Cslg8GH +c8snMbju36C9jsH3c4unMrhfbgcGBsfmtmdk8KJchDIZrPzlSDCn659TXwaD +PvG7isGgDzDoAwz6AIM+wKAPMOgDDPoAgz6RLzkSzPn0z3TxVKTPV6LPV6LP +V6LPV6LPV6LPV6LPV6LPV6LPV6LPV6LPXO7+mU+cLjkFfYBBH2DQBxj0AQZ9 +gEEfYNAHGPQBBn3ivMmRYD6P/lnufM3oEL/zVOSfSuKfSuKfSuKfSuKfSuKf +SuKfSuKfSuKfuV7453nka8YXmQ7Acgr6AIM+wKAPMOgDDPoAgz7AoE/UazkS +zPXcP+sFXzM5k/ki0wFYTkEfYNAHGPQBBn2AQR9g0Cfq6RyS9fb3H3//JTD6 +RNiXwaBP/K5iMOgDjH4Agz7AoA8w6AMM+gCDPsCgDzDoE2Ful0CfrOdkvSDP +I1nuZD4BllPQBxj0AQZ9gEEfYNAn2tUcsmRnQZ+st2U9J+sFeR7JcifTAVhO +QR9g0AcY9AEGfaKfkEOW/AbQJ9shWW/Lek7WC/I8kvki0wFYTkEfYNAHGPSJ +fk8OWfKDQJ9sV2U7JOttWc/JekGWM5kvMh2A5RT0AQZ9oh+XQ5b8OtAn+wmy +XZXtkKy3ZT0nzxtZzmS+yHQAllPQJ/qlOWTJTwV9st8j+wmyXZXtkKy3ZT0g +zxtZzmS+yHQAllPQZ8nvBn3/7MfJfo/sJ8h2VbZDsl6T9YA8b2Q5k/ki05Fj +lir4XWKpgr8HSxX0Aliq1ItgaW41+xcsXZxbMZ6l/XMb1rJUoTeZpUq5FJYq +dkvPUrvchtNZWie3nwyWKnhlsRR0WEl/yFfwiGXlgKcMo94/t8vHDe1hvFAf +ML5j/PAdML5jPMX+I9h3eXwB/xtdoEPG0xLeMl4y3jJeMt7AyxLeyEf6b/nA +X+YT+CLzSZxnWSTni3jLfq15u6Jf6yH5sQHS/I1gsMyf/9t2ZD9ZHi+ZDple +6C0R9pXkIFj6rpLkIPr/WTuAFX33Kq+eI4MV/L0ZrJQPYnDusNSLZHBus24v +/5+1A1hOlfazWarQZ89SUd/Ys3oK3W4MVj77Mfi33M+hUj9R/3U9Ge9cdfpD +zVJxfHIYPeI4xZrxSabT0jjI5eVxE+dptJkdQT7mvSz/yFfso4aloA/jAFiU +D/N8wKIejDbDwxJdGA/ggXIyXkgtlRPHV7bTfNxF/nE+QL9ADyAV813MviMf ++siSH4D5Ln9HPvQXyiNFPvSD/B354D/KIxX1qcrsO/LBT6Si/xGb5z+9tiDn +vBzWz8i35NcAFtf7yRb9Hvh38nfkww+y5CeJ61L+XYwj6C36VfAf5e/Ih59l +yQ8T4xH8O/Lhl1ny2+Cfyt/F9U2WRT8P/qz8XVxfyHLuIsmxm5RyuUaKfOhb +pLIcI0U+9DFSWW6RIh/6CCnkAfKklEtkqSxHYhwmOQ/vJJbKcoMU+Up/PJXl +RIxH6fP64aksF0iRr/RjYKksB0iRr/RjZKnMd3GdmJXXD0/F8b4k+S2XJPvg +KPHBg5UHjPKQF8DwK0R7FSDZjQBWHvIDGH4IykN+8B3yAxh+CuiwRCfoQj3Y +DRFvKyv5u7wesDQulsZBHKcAi+NiaRzE9iJYeUvjABj6XLavsp7/N7oBww7L +/o9sx0W76ij5A45mKcYN4yXDcopxwvjIsJxinDA+Miyn0DcYH4wXUtAr5yOF +PlLmtdYMllPoI2VeJ5vBcgp9pMzrVDNYTqGPFD2SZgbLKfSRay4e6WawnEIf +9c3FI9MMllPoI8wfyB/4DnkR51kw4wv4J673tNI6IFHyL+JYPvgn2rdLEuzC +5EqUxwgJ7whmF0W75sf6Bx2AxfmeyOaN6M/EM1jcP0mS5ClF8rdSJD8qRZIn +vdSuXvKb9JI8pbN2AYt+kkGSpwzWLmDRLzKyeqKdSmew6AdlSfYugMkLxlWG +wT9ZryNf5CfWBx6S3eD+DvgJOZT1h1JOJcmNJbx8zeTaEt4oDxjlxe8qBot+ +cjzTL/K+DOQFfAS/wSfwW9wn0Ev7axwGP+F/gJ8K9TkMFvfjeBxW9lPBd+Sj +nDjfLlmYt5cszlPIlxhHS5HWKXoGi/Ifz/AR18FZUv1kNu5oD+ON9gCjPVEv +ZEnzmesB1AeM+qJ/m2WmRyzpCRF/83EQ/W09K29pnGQ6ZbxlPaLwJ1uyM/Fm +4yLTaUnPoD3YGTGulmXGN3nc5XGUx0keB1lvoV/gATumwI5mfoNst2W7LNtd +2a6iXVHPxOTlnzbz+0S98d/rGdgvwNBfSJFvKQ4l8sHNzE/85/xLLF+e/5bK +QW/LfiP0AvS47CdCnwBWykdJeiWKzXOZPthnwLL9lvUyYPAdcgG+Qy7Ad9F+ +upn5K+CngudTlor0wO6EsFTUG1pJb/BUjpvI6145LiKvc+W4h7yuRT7oxfwS +5VNef/L1pGwnRDm2JXGe/Hs7opzHmLUjyu01lirZsDsqisn9D/Zluf4R11Up +FuxHiqRX9ZI9Mkj+jCPD30r4i2DyghR0i34494P/53bkuGa0NH45ZnpYPjcC +fSD6lfGSPxIv+RvxzF+Q44/yOQ2MM9oDjPYAoz3AIv5aSZ/pJP7ppHMH3O7J ++/D4jvZley3jLe9ry3bJ0rjJdMt+neiP6aXzUdzOWeKDPI6gU7b/lvxG2Elx +XRBvxgd53GS8Zb9TPh8BOsT9zRwzPst8Ec8FcX8A38VzNVlm4yjHbWW/WCmv +ZSn8ADk+AL9StHv2TH/BDij0xLMUfobop71m35V8PUthf0T9nca+K/kGlsI+ +ifo8nX0X42aOkh5wY/pTyXeX+OPN/BhRX8vtXGPfZT9IHBfeLmDFHj4msXw0 +2x9R5AF2I5rBSn2+j4J6yEc5kU7udwBG+m9+R26x/4hLQd+K/pTWbJ8CdkL2 +I2Av5H0J5Mt+hmyf5XW5OF/d8+hyZXjJ+zBiXAJxhxRJT0AfoL8M1q8cR5Lj +3mIciqcKH1WS3xjF5EqUo7usPPgmjr83Kw96ASv88pHOLwew+vA3xfmskuY1 +x0vs966Z3yHODw+pXzczvAFbwlucDwGsPVGOOR1iezFm8xJ0Il+BbRk+8CMw +H5X2nkrtYz0SKPmrCUyfiedwk5heVcpzWCmfnDcvuH5T5MbI9JfIB37uXpyv +KnqQm4ZJfpxWiiNdksbPUfLX+e8awEf0g3ECjHZRXtQnIXl6yV9a12vZfBb9 +ySyWL9oxbp/l85bQRwo+PAV/obchf8BflEcPSe+7M3mBHMj50LfgC/QuYFHv +qhis9M/3Ey21Y6ne/2wHghhdmC+AwQfQgfYVerBvn2hh3wDr40Qm35bitvI6 +QY7jyutKed9SjuPK9kPet5TjuLL9gLxAv4h8TmH+DGDxfLnOzC4ARr9yPERc +F5jbDcDgt6xnZT2J+QQ5AQw5AQw5gL4CDL6jvryfCViUq+cMhp5DfVHfREv7 +H2pJH6qZPkJ9zFfUB4zymL9iexH/Og6W6Jbnh6VxsES3iFeoxXGwRDdg0Glp +HCzRLdb3YXQCX/QLPwPyCBjyiPU+5E8px+VRtH/2DIYfCz2J76L+CMnL5/pB +tCf2jB+Yh+L4ubF2RD4mM/9YPEcTx+yqGNdKlvxQg7SO4b8bUNqB/dFL6wQ5 +npHCYFFfGZlewniLcSejtI4xSutXI8MD+kGEs6R1TZbkl3J+Io4DGHZetM+O +jK+QP/jv4rgks3HDuAKW9+fwHbD4+5tXDA8FL75OktdN8DtE/yKSzQPgL/st +sv+B/kR/zVHyc3l8UpTvKAbL5cR+nkr+TojkN0VJ5aMkf4rDot7l9l7cJ9Mw +f1H+XQzslhjv0UvxKIME87g91v8KPvxcqWjXktl3yAFgUb6TWT35HK6leoBR +DzDkQl5HY5xFPcnj/aK+d5f8P34eUZzfRlZPKRfAYJS3lA9YaS9V8g+4vwC9 +Ahh+PmBRblyYnynLJ+Tqn/N5PTGeyeNKGGfAkAPRn7eX1v18PwTzAfoI8glY +9vcgf5bKyX6/+F1tlv7bvIE9Fc9/xkt65pLkb+olf9JgYR17ySwfsDh+LpLc ++rHxls9zy+dm5N8Jif5ytuRXGqR4wzXGJ9HPd5P2+eKlfT29NN9l+nk8QrTX +MdI6/t/LARb9tJdmcS5x3qQwumFHYe/g14jzQI6n8HgJ5vH/tpxoF7yZ/hfP +e4Uw/azUS2L6Rj6Hg37F+eXB2kE5jB/4qPijD1gqzgd+LlX2f0U+cP9MPkcq +x8HkuJeob/0kPcvXD/J6AH7Gf1sPsBgHNLJ1uTKetlJcj/t/sj8n+2eyvyX7 +T6K+4/od7QAW5/8lKV7Cf2cixh/4+l2M7+uYHZTtOWB8B51Kf9ksbmRJz8h6 +xZJdgD0XfwevZzD0JWCMrxj3yjL7Lq6vsyR/kZ+Dht0C3jIe8j61jBe+/7O9 +M5rhhfKQM5kOfMe4y3TIfhL4LeqZ00xPi/trr6XzI2mMDuCP9kQ95chgtAt9 +gfblea+Uk+M4PG6p9JMo2QVuJzBfFDiZ6T1xH1CXp6d4qtBpZKnCj7sMX8xn +zBdR/zoyfYZ6gGFvRT7x32+jfZEPwRb9HFkvozz0qKU4qLifweOb4r6ZUZLr +LLPv4nqLyxXKyfvy/22/cj/Qo5Aj+AGYL5CPf963k3/vyeOu8viLsK+ZXVX0 +Po9ziHH4YDO7q7TD4yCI24hxiERml8XzqFx+lXI8Lo/+gSfaBx4K3iEsFf1I +eZ+SxxfkfUnMc6X9KywFn8XfjaQw/MR5wtdJkEdxH14r+XvyPrxWOvemleKY +Wsn+aqX1pFayR1opTpEs7YPJ++Zcb4rnzrMkO8vXCbIdtFROxMvyvoL8OxbR +3vD9E9GfC7GwLyX/fo7HtyD/VsKfN9NXoh+hYn6duK+hYjDKwb5hPoIu+EPi +OMUxPsnnRaDHIQ/y+S95XSneZ5JtJnfifSDZZnIn34MAPsCfEf29bDO5lOVQ +9l9E/0fH+Cn6c0lmfoY4nua/ixDlI1lqV2eGhxIPRhyEj7PsF4nn0JLNznGK +v1fINjunLOcDxjoJ4yiv2+IEe+corR+vSesR830mlFey/dl8QTnoUzEu81Ty +X9xYPUvlAIvy91qyf/BrtMwOWCon2lXzejgvCX0uxt3czfwYzGNxf0wr+UnJ +TJ/Lqaj3U5j/JO6n8XyUE88l8FSMO2cw/0s8P8HzUQ56UIzzQG/yc4PieQsu +Z6gPGCnKKex+afb7GsDKuL5gfgTKQz5RHjDKQ17RjqV+0K7Yj6PFftAuyovx +ZHvJDvD9DhF/f8k/eiqde/BjsNI+9u3us3ii7G+L9snWgh/txr6LcmrL5pXi +d3H7Ar6DjzLfAYt6h8fZAWNcQDfGAfhjHwCw+DuqFClumCrFw/Wsvnj+N475 +AygP/0dsL53VF/eZ45i/gPKi/dMwPY36Ynwhjs0vlIcel/erxHMg5vtcclwD +dkhux9I4ApbP9crjamkcxf19jcVxtTSO4rlTjcVxtTSOon3UWBxXcTz5/Vn/ +c9yH79uJccRsC3aDr88t7bPKcSpL+66ifXOU5iWPO4nrY/PfjSrlVZI/ys8B +ARblLF7yZ7TSPmMqgzGO4jpQz9YxgEE3xgcw7CXGAfEDjANgRVuZn0+H/hHv +EePn1UV6uH+HevLvIeR9NfmcsDw/xPv1NNJ9dBozv1k8j2zuR8vnWcTzyhqz +OJ98rhx+pezXi/ohy8wvl/3wfz73LJ/vjWap0i6HFXoQD+awgl80s2PQ9+L5 +KT9JvvnvphV8giX7GCKdHwhhfJf9eVluxfHXW5RjS+cE5DiypXMDluRePBdg +eR5YOicgx6ktnRuwdE5Ajmv/27kBeZ9YPPeA8038/Cvag18Efxh6SlzfqhiM +ea6U85HWtY9ZfdHPUjEY5ZX85wxW/OJA6Vwnx0v0E90kv8dN0qeurF353Bzo +sESnJboAQ95RHzDqQ/5RHvIv4hNkcZwsjQtgtzy/DPMJ8wj+BsphPiLeALuC +fgAr7ahIk1s+nMFKuTBp30kr+cfcbxTXpcEMBp4YV8DiufkQtn4Uf7ebxmBx +XvF5iHkAGHrxn8/rqSS+RkryHGmmNy3pScDw9xU+PZDGL4LBSnsRzD4AX8ir +OB6u0rr5Xl57j9i6ArBCP19XYp6L8foXbF5ZmjeARTk3n0eW5B6wKH/m8wDy +LaeQG6X8cxafVeoFMVicr5ekOPNpadxOS/uN9hIetox/GGfII+gX7/WR1x96 +aT2eaubHQg5RHnr/n/c3DUzfAU/Qq8AvzfYhMa+wHwl7Ivu7ol3jdgjnX2R/ +Umk/Sfr9ZBKbXzIMP0ncn+bxP9hPzF/EE7AvgVT+nRHi8kjl3xXBDxD9AQ6L ++tJP0l9PJf/lqSTHASzfUj3wAfpQPGd0N29eqqV4U6zkT8WwdlFe7CeG9Y/v +gNGe6I/FsHmF8oDxHXYF3wGjPTFeHsPmBcqL8ySG2RN8B4z2RL0Rw/Qvyovn +BtGf/LvZCCk+Ec3G1dK4Y96jPOa9eA7JVurHj+Et80HmE/hgiU/gC9qT+SDz +CXywxCfx9+axZnyQ+STaeXM+gS8i3y3zCXywxCdxnO0tjjNgJXVh5cE/fAe/ +AWNdL8ZZEvL0AoflOAP0LPQQ9LCol/g6X/TPeTwW613ICcYTciHuQz+V7EO6 +5M/zdYF4ji6DfRd/fyDf88bvdxDjPwYW94B+FtcvcdL5BfNxAwy/Ujw/bX6u +WLx/Qs3sL/gN2JIdAyyfmwe+yngnMnwVeeD3IwAW75tJltZnyVI8Ucf4Keqn +CGke8PsvMZ5oX953E/cltJJ/Lu8naCW/QSuNfxzzv0E3YLmcGGczLyefA0A5 +wHLcRDwPys9biucWzH8HCrmFHIpybpD2ES2Xk/fdRX+F3wcBubIkd8rwXJPO +J16T9Olj6TzbY/Yd8qrIwQu2PlDGxfx3uyiHesi3VE/0Z10srgMAY50v/z5V +9q/kcoAtlRPXVebjBNgtzy+CXVO+B0p2LFA6r8N/xwC9CD0PPSr6R0GsH7Qr ++l/B0n6Egc1vMU6tY+1CLkQ8TlvkO2DwEfMffFTwk98V4t/FeEW0tA7j9+jK +9eR2xXrm7Vr6HYe4zkyW5qe5HpTv75PXDeLvv/k6AnoTfBH1ZgijF7B4jieW +rSPEe7zN3ycS9zmSWXmR/jgpDpYi/c47lcHyOxbiOepMRh9g+R4GcV8pi5UH +LJ6P8GZyLcdJYOcwPhh/jIN8TlL8nUaS2blH2Cf5d8yQA6UfnNfk5xSwbhP3 +u/h5VvmdDMRlsL7DOCn8viTRedriOl3Uc4gX8HMHlvQKYMQFFPoCpfuRM1g8 +BPvjov+BdxteMv9SnJdu0vx2k85T89+9y+svcV44SnrVzWI/aFc+t4125XWZ +6F/L55QDmHxBX4p6zd/MDxTjbqkMFuPyacwvqJfnl8n3ZmI+KnglSn5JEBt/ +0X7YSn4Aj68gH/MLqXzOAXZU7OcukxfoC+Ap7sPK5zz4+Thx3zhb2g/MNltn +oJ6lcoDRv3jvhvm4i/u1/Hwv6IWcQX5AN+RLhPn96NAHoFfUD/BbcQ+SVjrf +xcdR9nvF+rIfrJfWC/K96dzvRJxH3MfhvxODXcR8Etd3WaycOE/47/2V8eDy +Kd5HECrdF8L3nzGO4vn/JBZPwziK5V4zvSzOOy3zwzEvkWL+Awa/RT12V/I/ +E834DBh0ynSL9bA/lMDkGN8Bo13QgXz5HCP4j1SWC0vzUDwXEMdSeZ0Df0Rc +93IY44IU4yb769DX8K8gB5ATwLKfqYzXNSnOzOPS4v4k4qL8PJh47iNF0p/J +TH9g3gGW+SLa+0QmV2K/CQwf1BPPkXC+4DykaE+zpHiI+ToE44lxE9c75n4v +xlP8/VyEZOcimH8EPgEGXuJ5lSy2TgQs318k+qF6s/kq/g4jic1P9CfPF8CQ +H+ANGHjDzxL1JocxviLeGZI+e8naBYzxRr9i3E8ez0SGh3geI8VMLmQ8Ffn2 +Zfr0f3vOQj4nIZ+Dkt8rEOMCyWb3uWGeAVbo95D0XQCDxbgd6Md9Xn4sFfVR +glQe/cIPc8obFzWrDxj7SoAVuQ9isNLuMwYr8hHKYKWfMAYr+7ORDFboi2B4 +AC9lHPYx+P8XXmJ5jpfS/w0Jxr2mGjqUWz6T7V9+y+UD388EPqAL+Yo8GZif +D1gp75Pn/6mZPyrLq/w7KfGcGY/PivMjy8wuKnTomB8AGHof46HkH5f4dEHy +U/h9uqADfh/ahX8EGOOiwL4sRb7S7nLWr5jK+fgdnPk+NmCFTqy3+XjI76GI ++jfOzH5hXanIA/c3IRdIlfrxFvMVfF6zfGXceXkFH/ibSA0sVeQh3WK+oof4 +d0VfcdgSXwFD/gEr9F+RyuN3p9iveSKV95Taw7x7wWBlPF5azBfPL8j3NfH7 +mJR+Hlk8h6DwNZOlyjhlWcwH3oo8O7P0n+Uu5l/HTcxfzuIAiAtAnwFGqpQP +YDD0IugX5y2HlXr8/Aj6B98By3y3xEfxPJ5K4ksUg5V6nI9K/1H/dT1Rbv79 +not/0zvy/Tzyvf6iHlUzvSTaiQDp+3MGg6+ivQ2R7FC49F0ltR/x/61fwNCX +sFuKPuH2DfwU5VfF7N5M3bZfy9VNJGPZUza/x2hYPuhSyvN1nsJXvo4Sf0+F +c+b8u/h7D70Uv8B5FW5vEV8DjPmOcpj3gGEnACvjy2HYA4Uefl4YelH0w1wk +v8yXwYq+Cpa+qxh/kCr56C9Rkv8UZn8VvFyl+evN8lEOelEuJ+szJb0kxX/9 +WHnYa3E/yI/NQ/gnin/E7Y9CdyKzdxhPBS85PhDN6FfyY9g+MsYBfFXWS/zc +rBi34d/RPuJVgGH/AWPdCBjtAZb9LcQBAcu/H8R6F34D/Ah53xL2X/YDAEOv +obwiv2nsO/gsxp9imF1UvmPcuL8H+ynaUW4HwG+FDt4f+kG/SvrArF8Rxngm +MBjrV8g5/F9FLri8KO1zWJE/H8l/5PdLwi8C//WT3o+pVpffUyDOr1dS/VgJ +XzlerJW+83gR7A2+i2kMm4ewu8DfUpwTMORHqc/jotCjYpwzmZVXxg3vpnP+ +AV+F71ESPWqmn2T5F38npbWw/uDvpcjzQ3zXMZHpb3zHugew+H49n0dKPqcH +4ws5RDk5TqzIQzKzVxc3r7KOv8fPnSh4JUn6h8Pi+L5mcQBRnnWSPPHvcpwV +8Q1RHnUSP1JYecQ/8B3rOVE+efxEvCctka1HxPb5vR2Yjxifllee+P70jd/z +gf7EuCnflxB/X8bHW/ydLP+upMnkeXXy6CD3BNpeT7GfgPfVU+wn4Bd59hPw +gXp59rNEAZ+vJvhenv1YtqRh7veYvPmL74ifALbL4wdgrAu7Va98qrtnAmXv +eTf89olo+mL7fI3dQ1P/HTuM6tcgjn2fccH6uEs+A4M/+dk0Ug8yMni3wffR +l6OZDLZ+89kmNnsp6w/+A77/cS+tcZ3x91j58hmVp16O8GXw5E1dr7f9EMzg +kUVafk7eb/KzB2T8h36Lpb/y8B1eemLkT4tj2Xiw3/0sVfQhYLG+ltHrnl6G +4uuoGdy9QrZ3nfgY1r7tk6p+D0z18P1ZVNEdr6xMflGtSrn91cnT5+gP+h34 +H5kWvmDIt1QGN95e+euyvnw8HzjMOHj8EB/PYaE3a3nEZLL+godTyYH9tdSy +3YTrsab+bmwp3+bv+WydB4/cbAyuM1jD6IN8Av92TT+uq/8ji32Hf6V7884l +oXYidcjjF+BVx2781aCTM4NP5vELcMEpNgFXfXwYXDGPf4D7Z58t3SH1OYOn +5PETcFD3GU3nFOT8hLxuyxvnnJORLY+8ymRwyzveb+8/yKLteXB7iZ56efIM +WNGP2ZQ2e1TTv+d3ydspwyffT2TtNQsIvPUw9gX7Hhl0bXyDvjHs+5bcNI3B +FZNnjdUsTmfw1cJOaVamdQNgZXxTGby+R0rn/ho9g5/n8s/A4BJzm4ctrp/O +6Jmyavf53w4b2fdze9dMP/xbBunz8Nvd3rb00doJDF/t5TZT+x17zeA5Wdnp +Aw+9YrDXxEsdv+d7xeqP6V7sVFaslsHbV8/q8eyIlo2Xa549x/cuum6f2/7O +x6tGyOQzsQNfsO/Nc+WOz5dyueOTxODxn0dW+mHShyhvs+fMk/am74DDi+ze +O/Ehh8+rmidv+Z7E5FUZj2RGj1JOx8qXP30rKkPD5Vvhh471b6h+5kbdIyms +/rRmkdU3/8ThVp/WrLraL4WVV+SNf1fw5ePh4PVhTtkGqWy+dbk6JeBve4H5 +mJLHD8zfNXnzB3DhvPkCuF/e/AD8LG8+QF9CvwE/0Cl+10r2IJXBffP8C8Ax +ef4F4MV5/jvoOVu2TIX7S+NZf6Vy5ZPbC8wnsb8shtfaXHnPZvJskwdDP8If +7dL+882/+0vNWz+L8pdF+f/aeP6nuonMXgDekWcvAe/Ps5eAX+bZS8Cwl7AH +8LNEfZHI+KvIBx9P5fsL1h5gzAfHnKvNvx+JlvDn9pitUwR9pGbyterZxpxF +r2Mke831hV+ufTFI9pvri5G584vzE/4mvqflyn+mpO8zJXxfM/qb5MkB/KGr +P9+p/Lc8gB6l/1esPmDUL5wZYGvXMI7RV2Vy8MWHC2OZPcT6AvKAeAe+A0b/ +k7fsDf/bnon2XCvRw/XZtdz5yfVJy9z5zb8jxfieurip6lE7Fcvfmatf1ZI9 +0kv0pjOYnUfJgzHfAMvzDfYY9MD/RnnAGL+cEVXvXB6YzObj+Vx7oGP12X69 +gC/Xtx1z9beOtfe0mk/h53bJbLxlfxD+ANqHv472iufaT53kP/Hvtrn2hOvT +1rn2OlWSn1RpPLl+fZ5rDzg8OtdecXwgr5Af+O8iPa9ZHCozeM78a0/4vWM9 +K53aWMUN52Fd6ODV5I2T5vF7gdf379i3QiF+v/ShqkWyfM7x9+wLXpq2rcp/ +3JN7v/3Kwja/qGlRnz8LHHjF74eCXx2SL3311uX8PPfaXfczt/Tj+12PZiR7 +dK7M92d9Bn5zLaTj5ycTizd4V+ZmHK1aZJXvWBy/b+rW96Fjg6vxd7qMz38r +UfIZv08K7X/c2GHTYjd+P1Vgq7Qy99rx38XvqGuve/A1lSqvi9e+f8N/577y +nYPj1v28HsoHra3gVGq+gY6veWrzYjZ/Bw1p9VJvev96x0gnG23ftnZBHNtP +iuzS9Zwf8XOLo9bWupPjz+/THF/YcDm7Dr+3d7xHlcUHpvB7rWoOcvipyXp+ +37Zjh6lbm7VWsdS21CnvAt+z6XXUxcnepn6vHfTs+eBYGuXU0u4b8EhLJd8e +nttnvpHGbXe7ozbRdbrEs4Mf9mXSqHWX+8yap6M6X5x/+eKcTX16//2no+LO +nXemBWupxV+hN1tOTaVpf4z82DIjm8oXau50PjCVtYt+VkwZfminqf9H2Stj +Ktc1sH7Qb88XfVUvTeNbbZ+r0/5pRtYv8Ahokh41MySbrAtf7NFtWyajA3QB +L+AJPIAX+gUe1faHnFhk6qfny6merm94u+jHbm5cxoe+5vd/I/+89W792roe +VLXyppsOrhcpafPGQS2Le9B2+8YuLUpdZvkoh3yUm+CTGOrYmd/vhhT5tbZE +Ptwxn98njhT5c7/bLuij4vdB/ZgwspFP0RSW3uzR26lH7xRKTSqQYvrHUuRf +bWFw/eWNkaVXYl+9syqfQeMb1C/xw2hkKfLd8vyOXu/uvAl1yGQp8nNarIxU +mdYFk9uVnjfkihNNX3jT2qdZDLX1a/l+fj03sitaZMnmYjFUu1yZV9/Le1Pv +po2GVzaq6c7FJD+b+X7k+eupojZparrxbkrZcT5+tC/8zhErPzVZv/OrffhM +EF1+1rVh8HM12de9cKLRo2esH/SLftAv+kG/6Af9oh/0i37QL/pBv2fOB7Tr +ON2bdt8Izizdyo9Udo3LX1zkRQfKXr9dpb8f9Wvi2PlRqQS6X2jmjWP+GjLO +8Nn/xjaVMkffGuqfrqOfj/w1K65SKj23iq464J2OXJyyy3lfS6OF1YKfN7PV +06/PEhP66dMpqa3n8fu+Bmq9ouuXlhM8mX+3JzSne80tiTSx+0vjOTcNNZ4y +ZZVfiD898rtY+Uf1M3Rm9/rzGzR+FJBVxKdQPzdml41DFxT3CtHR3cJqdXQD +PdVMPtDHJV5HtWb1PvT0toEOdvvy9dwcPSXty3/nlbeBZheqferBLD1dDnR8 +diLdSGUvz2y34qKB/F3LLzlcLYOuNrhkNfA0v+ewxEOXn7U7jLTBt9ry2DV8 +Xzh3utSLJPdCzw2Zg1Usf8XnIW1H+/H75LvedcnfpHMMtXQIGNR+Dz//AD3r +3qTAj3Ur9eSz8H6zzbN4PL9j68WzuvYyv6d8w3LHSxtss8jH6Xtcuhc/XxmV +kmzdeEoYPVnj7Gi//gT5JVyr3PZrKG296tRi+PibtHbrqClnG58hn6Pvuo4P +82flUA/lUK/epU6+nV8kU9+OGxzPJ2mpwcbR3et6GsilY5XTR5y19PnsrePt +K2bQ8q7F1JcvaGmnlVNmwd+zaPWPkT//Zadl5VAP5VAP5VAvpO/69ePH76U+ +Hxs6d0pwoHO62z1iTHJmXfRz1FeT3EHOIHeQM8jdL4mZDaua5Gze8p+X3TLJ +Xc6rFr87muSsw5LRD7ua5M5jVObOWo+MtKdbe99lCzNp5GxNhEOwkU59tKra +OSeDUm4us9HMiqEs1azGGTv/oJYHvUO9psZQ4bl7+g++do48y+4bePwv8/Mg +4OviO/aLW7nx+/URZ3o6a1G72+EaliK/j5ux3K6K19n+E1Lk78mbh6fz5mW9 +VLXVSNM8tOq072HZxV5sH2rfydpVhyU8ondnNGebeGmpZUj8dsMlDU3Im0eY +V6+Ti63feCWJes/ZZWpZS8N/1EqiUslUaMnXP5wM/F0Mv4Vx+hZvtPSuyL4G +LoWNdLrak0XLe+gpY8NapzEP0unngGKqcwP0NP2ys83tBaZxfN64q9cyAwXN +8Z65MyuDsm+P3BW+xUCF2qwYn/8dv/+15697nDWvntLKXiMLHrbiKfIxnxcG +ZTc7dpSn4u/M02lRp5/GjVUbWIr86Atd+0yrZv7eQJ2cYof+mhBDN4st8929 +fQP96le07s/LeTnUQz7KLdk0u9S7+fwcRKXdBac3X3GNpVh3u/bveOT0LQ1N +8Si2cX3+FBrnEtHxrVpL+dptHNy/Vwo12Fx62eGXfN+0w8XirllxN2ib1eM/ +xjw0f+/AuDDnW76O/P3eEQtvHwq8Hsb0UaGI0fbn98bRiA2Jkz+c5PcxsfNT +unqri//HvaDDP3lOr3KV3/NZvJRqycJj/J5Ph9e7wuJ28nfep2hKbal/kd/L +7fQ4ZcnPWv5uasno44t+6mNg5VAPeKEc/NCaUwIO9q+cbbEdVr5lUEjwDv67 +nts9dkaufK9l6aCwXdUWl0gi55ZrdUfeaVmK/OZD6yX3bpVKYc5x1T1CtUxv +QY+1CSmy1q8Jf88hek/F35af17O026HrbRq+0NOphgHXDp3kKfLdJw+fd1Nn +YOlPLW5tulY3nb5EjNo6QWNgKfKhR6BXoEegV+76Durf8bMD7eg22+XO0Biq +7jGvx633VyhSlfxh6RhuZ+ZM/rgtxGR3tlTdHzCrNf8dZMGZc3bfa6amx+Hd +qXbRaBrntnF6q+5q8j/cJqzkpxfkXKVu2aMd1bSsxe/l7o/n563RDsqhHsqh +XmCenT2dZ3ehZ6B33ud8bvtszVPquq3G5olnQpjegR6C3oAegd6AHvmz1ZcO +J0x2ed+43sEet7ldhp2GXoGegV6BnqnctWHCdJPdvjlj6bIdJjt+Jc9uB+TZ +cdWtOc2tDrrTqeYjKK6RK/VeMmHmuxXuVKteYNebWlcqHLSWtn/XUZOfi88O +tePvJ8KuDmztv/jJxigaearx3HeZjtSp87TZy9rzdy66Pzng0bRSFLV540Xl +nbzJt+74gzn1oujcvRvBqZondN3lfN12UfyeoHTjD6uAj/vIf8De9/YuvF30 +Az0DvYN+0O/DdylHMha50eTxd+2jR0TRmATD1dvTHtCKqjfPXxvM8QBewAN4 +AQ/gdTR8wu1FV55SuXUjaj37qKKATJ8knZM/7dWN+ZqWoGJyCTmFXEJO8bse +18JdV0z9M5hyjngvmXU0kCrEj7S/1SCExrZt6NZz1zMKK7fot0LFQ6j34B6e +ZbO1tPBYVOLErUlk5/lhSP00Lbm9bP5lcZdkGr3Jsdudbfy9D+hV6NnV16PH +aob4Uz3rzVfyT75NN0/OO9G5K79nvmq/gAvJqSE06mhOyKdwb2p/5ENwqTKh +dOT3jZ5zXZ5Q6Kr2l58+5vcbDSsU86rQRv5eSOzSad6bx4SQ+z1D5JV3/hT3 +1yjrmBmm7wfW2izc6c9/V9GtTN0by/j7mTcexq2YPJj7gfALB1ef9n7Lu+t0 +e8Lc6XZdT9LkLo7TE29cp4ajS7Y4U+ws00PQS2HexiJe2ocs/dhqhV/Lifx9 +kvH9P9cbNFtNbX7MscqnMvmbvvOy3s5Uk91M7eWWqSpKuHLYbeVQNX0pq6nX +85cXVNB91KDZI9XUJF/q7046/r4J2kU7aBftoF20g3bRDtqF3oEeGj6zyNV1 +Ifz9Svjh8Mtr+RRf7pAsn0/jfm+HBe++z3A2P68GPxjzGPMa8xjzGvMY8xrz +DPMO8wbzCPMG8wjzAPMC8wDzYmyfo5/7OaupadM+6Q1M8mzT2m791T/U9HFu +rU8DW4ZT0emai3+uUtPZ7fXb1PSKpNp92z5V7VVTvPvzLs1WRbB6aAf10A7q +oR3UQzuPu6T9aLg0k0bMaGk/2N1Io9+czV7ilUEh4963iVMZ2Txot67NthVv +TtGFMoOtX7nz9wav3tjYtu0JFeXzia4dUzSESsdsKRmzJZQ+z/3949zf3cjz +g5fnwxWhVLVjUOV7Mx5QyP3yJQLPhVDrgcZ3HWbw9wQjm9dqd2ynhu749nZe +/SqJyr+bXWWSnYbs1znZrNUk0aIWWedam+CVVQpmjyiuo3YVd/e9ul5DM8a8 +qb3nQzIZ3q2cP2kjv//1siapOlXR0xf3d/m9vY2kXjojYXVzPZW4px++e3GG +abxKnKp6mL8vs6zNirfTTxnpSVmvevVzMqlp5ip7q+sm+n/U+atUhSw6FHdk +RchFI5V/v37ouKVZNGXnhROGo/z3YtVmaUfVidExPQK9IvtdWMcBhp/mu+Su +99vq/H5u+LmDh7/TTS/pzOYZWwfkrQtKd5icto/M36eDH2f9MWWg1WN+ryb8 +cJRbtubE2y5b+b2C8COBH9aZwBPj26fnl+fTY420q/hAr3cx/H0225d23r3s +zd9nQznko1yP0IHTe5xPpZdvjrydk6ajpn/8yPJITqHdL+MCnT/pKOpb4h+6 +2qZ1fr5f5lV7raOnHkfLnPDW09QD38q5ROpo8MtiA1bf1tPxeS3si0TppLgr +f/cP44g4LMYZcU7EQeW4YPmBbZbu2xJGnlM9vvb/tIvmaqx1Sdmh5PFozP0X +I25RxTDfZ0frr6E+446V6VEngAYFGjJeRmXSyYNRsY7X4+h1/Zi6Y0KyaE/f +lT+l7Yuj9NWdt5d5mUltik4PvfRnKvXrmni14cssqncuOvCeyY+dcXTh24f3 +dLQj/mvFfH1NeqvBwNVLLunoVd/D3a06prN20Q/aRT9oF/2gXfQTVLr4jl3T +DZQ5/uyNiLeZ9LlV8+fHBhioQGhk24VuJrmeVvhx12pqliIuDbsEOYPcIU6N +uLWSXqOJdS9WqvL8MrO7D60PhnWa48LGV47jIm6LuLL83hriuKmOYa1O5mRR +0Q/TxyXZGinn8pZFvyzIJr+giYOGLjeyODLWJZNrvB08cb0D01c4b3e9VE26 +VfIBOw+092LbCy0C+b3JDRZUjZyznb+/lnjLeLWLn2kdpPWxdx7I319b4hy3 +cE4T/q7atffT8lcqbv7+GuqhHOqhHOrNdrFutLIwv2etVJH91dOy+L3w7WsU +7dAzPIsy9uqy7tzMJLcvY5uuOx5ltt5HPtofteb0kavd/Ojs3h3VHYz896IB +KW8XqG/5s3rKMIXQyHmu2tqqp2ycMG53Ty6ePy6Kv4OGfc6toYnB1+/ze6xB +B/AGHYUKtfmuN/DfvdsWbaN6EMjv0Zpx66LrjCv8HqyHXi+ORW82f68M7aAe +2kE9tIN6aAfnUm9EljrTwM9IWwdlF1zb1ZNcj7YaXv/zAnp2eqLnDX8Pem13 +rNQEgx3zF8Iyktt4z+a/V/eM17VxO2dg44ZxxL7Tl5ONXk/J1tGWTfFhul78 +vO0Wt5ab3FqGsXpYh0Pfwo+BX/N0u/+eg4lZ5JubplLy06dXBn7OopVpJdr/ +3oPfC9UkdEH3tY/5eruxY8qBsre0TF8fnZQV/Odpfv9y+qGV9iUO8O+lV2d8 +qLyWr8+r+Lcts3yEjh4ktl0zPoL/zhTrYKyL0S/wKNh09CL7R1ra8/l9A/uD +aQwP4DUuu2IJmxtaOr+185jiYemUkvxoT46DljrPUZ8ab+Dvgan6Zp48PcXI +8AaejysUVPmf1NKJkOVOGwpnkufjwfsd/tDSxzsHf/XvmcnoAh1flkY7WO8z +rQ8GH6hYomc2vZjm0OjoHi2taLWh1vdT2YxOlC/dK+LblyE6er7ibPyjX/h7 +YTVf71p8aqMD3c3zuwfl+eFRdg8K3i1+llwmWg1eePM6nXDd5dbCj9+nAr9J +jB/ZU9cxy7pXesTf9dha/cq1lWseUelb775qPG/QKmfrjAHHHtH8LStXP3bV +UMDsbUO2XU4kVdCFbWOcNPRmxNkqJSppqb7vX3+5emno684TjY+qEig9xWvg +jMcamhVWsdz+Comkf1vTffQqPXUcu2LR++oGOrhhcL7QFSa/aFz+pQ6/Gqi3 +k67ChNPJFB3ZzGGjjvPZPrFU6qAvOnrSItjuQ+JdKuybHbur4CNa43f6fiMn +Jyp5d2zWtyGPqOi0oN/8W/jTs8+vvjUp5Uz9q6YP2Fid/44dqbjvcomGJbcZ +mtyG21XYWdhV2FmMW+MWA05s7R5Kr2tkdym/1I1s73nfbb6V+5XwM7FOw7pt +7quJ57e7PqGL/Wc/rlE2lKp4GmzOT9dTs+hO4W+faqnAzFELntmY/IedZ75k ++Gop/9+wab2gpFpq27xg53N/xwGKejrYXNRS0ZZzDl+ql0UpetXiCfZa6vjA +70bCCiM97d95bK39OqofblMv3CaDGuSmOgpscDCzpT6TAr89uvJ2ho6urjjd +1vlcFpUbNvLy/jE6FtdDnO+X98X29Xippb9urp37uWcKwxN4A0/gDTyBN/AE +3sATeAMP4AU8gJfLmcUTy55aQmUyA/wrHL1Bb1rNHHvymYb024rvqHH1NfUd +2vp+3TANHUoc9/3+23hm52H3wd9lqpOaolU8qNqXG3Uzu/kxOzTnQN/h+wr6 +UdT8b4/nevpQz7N+QzN3+dGFUkV3/WbrQad8d09O/JO/J/Z5/W97RnkF05M3 +i5tVrR5MD/oucu1rDKZ6dUx/l4JYXABxgtC8uADiBLBLsFOICyBOgLgB4gjY +x4ef/dPvhwy7b/O0tH3dU3136SlziWaO+9o0smq+9vQ5Oz3VW1PMW18njZ7t +mX2mf4CBxns1220VYtJvpyPCtkYZqGjKzHfP5/D75v+a03rQvmgtZRebsynr +VAoZHItMeabi++zYd4cehV6d7/ngyvWi/J0m6FHoVehR6FXoSehN6EnoTehF +6EnoRehJrJuxb98owWtehlMG1bg3W3t1Nd+nx7499Cb0KOwW7BjsFuzY5/f3 +/X1MftxLx7oX15r8un2fe/kFTuTvdQ2MnH639Xr+Hv3hJZUKh/cPpTpxzUud +O/yI2c0TUXY3Mid4Mn2DODj8TvgFE226ni3WKJIuF5+ZemYwj7PAv8Xv/qZ4 +WM8rYfJvz5xN6jrIkEXXKm4wLNvDf9dafsGheR3XxVFrw9hWhrHpFFDygl/J +C/x3sL8FHV8cdFzH4tTyvf/ek176LotKZXF1+f0t8BnlK5/wLK5pbWBxd/BF +O232rabLsikhNzVS1IY2sVv28ncEcK9E9h99CpydZ2RxevANcXrYXWPBA7UO +NtLRBG2vgwsStFTw+EBD+iId7T343aFjvJbloxzyUQ7t4FzGoqfXmuofZ5Mm +bGN1x7lG5mfAnkOOIFegd9SUYT2yD2eyFPlHpvzh2GlfJt1rs//suJOmdl8e +3XV79SNmR2E3YUchN3PLlvn5kMlv1YZHzO417AF1/Gv/l9YhftTqU0jVYXv9 +6PPPyYG+UzyoemzxyD57/JjdQT7KIR/lwK8KG7YZV17WkGM/7bryt7V0denf +G5MaSq9eYs6sllqaN3XGZKOjhpVDPZRDPZRDvT3vlw3d9kTDzi9jXxfyArsM +Ow27DDuN+MoXJ881lKpldh52H7+LGJw56ur4n1Io/4NzV3sOSaFl9mPK1SzA +81EO+SiHe7hexdH9qjrT+kub8fCVdQa1f3y5gZveyPJRDvkot3pfetyb4Vk0 +ouf4Bw5P+D60/K7Iw4tHB050zaQqR4xnS2ZkUWG3azs7X8ukIxpN6v0h2VT3 +pwY2r45nsnyUQz7KdXHKUB924nHx2KjO/mqHKFrw/tcWrb8co4YdLi53ORlF +Las6xfQzXKA76+cNK745isnXLeeMXYu3RNHwxFVrisbcpKOF29ssPRJFE24e +2fJm9WXWLvpBu+gH7aIftIt+0C76Qbvo5+yXjHwz3/mzfopdL3X1gsqfPky4 +U+vAoVNUuPrJsuFb/Wn4opENz9+5TjvHaqcdPOBPlSfu2Nyx3TX6VqjE70U/ +8/eslr5/OOByhh89Pp/w27e+90nlWSI0OCIlL+X+4LanXV29I7VsnYR1E9ZJ +WDcpeNnS0bCdx/yLejK+gs+gt8HkbUemzuF4Am/gCbzR/92Yfb8Pma6h8Tvq +NF1QJoV6tTiY/nGBhgzLyg+40SmFtHtc6lWbq6E/H50N2rUwlYZXN9y3Haah +ht1TNnv+mkojtjz/sXYMf59qwpKQx1GtNLTx+vFSf/TW04JfdXuLd9fQ+pgD +Fz6d0lNiwZGnAttryGOuU7ECIWmUU3Ly+KiaJr866ucV76ak0ZUpR3zONub3 +xde+OibhhpWGlpY5sM5/tYGa3uvWrcbPGrqaYb3K/ZuB7jY4V+FAAQ1V+b3C +9frWRprYt2bv2LQ4UkdMKl7gUDotKH0kdNWf/F2lle3S6pcIiqO1bz4VvnLN +SJWb2rY5nBBHyy4vejNuVgZ1zefR42RwHOkffJw340QmJX3LTL15K45WqTc3 +O/k4g7ZE9c8c6xfHzm1+79T8w/tELSWsWuz8YI+G6YVNNKn3dDsN6dK8+tq8 +4nFWxF0RZ12VF3ft2bzStaMbNXRgua/31Q/JjC/gE/gCPoEv4BP4Aj6BL+AT ++AI+gS/gE/gCPoEv4BP4Aj6BL+AT+AI+gS/gE/gCPoEv4BP4Aj6BL+AT+AI+ +gS/gE/gCPmHdgHUE1g1YRxRttdzgU5m/IzBqqUdjq+Z6WuM+ZOgAbyMVfR6z +Yk4tPYVlHJ03YkgG7Wu6aeQWKz0dq15e9cxkN989sD2/tJyeph/pWHLw8wwW +50LcC3EuxL0idxSMyHnK38vS+q12HOhupCEXmlVpsDSTgvP2Bcbk7RPAz4ff +H7Vv9fG5t83fx8oMGfnZsE1FPSZeHz+6WAj1+ZgyfMUJFe1N25zYsV0oFTin +G79qj4pKO8ya/+NROO0dXun1lUUqSo8JPz+oThgNvzzGUbNJRZWKeA7s0CeJ +Ktveulf7FH93DXEt+F+xLW4tC+qjpwoOyZPfdDZSpdxUT5+PHtr22+x0Wt63 +Yfrikfx9rBobXVf8aWOgwTlJ6TEmOofmpgbaWnJyt1DfDCpZKXPUuJ0GZodg +l7zWDKv3+r6OChdbuWTpK36/M+LuOKeLODPO6cIfxDld2HOc04X/Br8SfibO +2eI7zvHK524Bw2+FHwu/E/4U+sU5XfiZ+I5+VHl+5YKOvneuLvuP96ny9Ar0 +zJsbu8/bNOb38NVP7t1qaD019fu8rPMB+2hKqBbWcJwJ9lB1zl/KBC/s5/Tx +W3M1vR64ZuTRDy/JIaz1iLl0j1qcK1xgYUn+PhXkCvG/K7WWnP+xke8jYV/p +Yd4+K/Zde1fyH2m/05++bL9Q1GpmCJMbyBHkBHIDOYHcQE4gN/4l5zi5zeb3 +YrfzLT9zyzg9ZbTIqZzVKp3JEeQKcgS5ghxBrkbVrBR/7hx/T2rozXrnTt41 +0Cf9j5ufTfpgne2F9V/tDGSds77VwsUZ9Pnzp4kdT/H3o+Ldchq8N+md3+M6 +ulfOyWT7VNi3yqm0Zqtmj5HOl1CV6e+VRS0nRjYOP2qktMBbiV2WZrFz1fL7 +UtgXwj4P9M/nroVmTXptpOq7/th1ZWkGtehwPXJagpGmZVz09luQQUNK+p5/ +W5PHnTflq7ChYKkoivU4EeWzx4dKlFhvW7tVFFWc2YFKTPakGQ97qFu483eT +On2KLeh3zaQXyg5+v8blOXkOb1TK+Y6KzqYndXd8E0QjHuf4nAhUUdvzv1Yc +HRNIDcO3Nzv6VEU1ujr9fK/FM4p/eHzA49Iryavs0YgPj6OY/2984+V4ZFgU +jYve87aAaT24cO+Up0/mRlHVnkPsC199RI4n6xfd15njDTqAN+gA3qAD8rji +UGgLdYaKTg0/0KNws6ekvhC8zf+Linq+3Wyz5Ik/1f7Ty7NdAqcTdINO0A06 +QTfoBN2gE3TDr4c9v31vUfEl5/j7UGUPzKvWaDV/Dwp6tQz07IRj+wYsV9F1 +9YobD5qF0/7ZH487mvTsrEll1xhqh9GxOcl7z65T0V3jNf/1a8Ooy8SOObdm +8/ehPnx8uHjWd/5uT5vXsVFHokNofMPFnzXzfehtHTt7TbNQimrocdh1syeT +29In7jScN9Y0f7zmFW/3LpN+Xv0yNWO6gbINT+a0L5NFhpDbqzZPMVDBvH0p +7FOVrlqs7pNVWRSwKyW2yQgDW8djXQ+9Az0EvQM9BL0DPQS9Az3UefScekVM +68KUbVvdjEMfUGO7mG5TXfyoW4E/ys/XPaSuccXdIuaoyNHNt+6t6hG02Dla +t3eyigZ6FlAlbYqgPwwHWgwboqJeoQmO82pFUr787dTdJ6joaMPNC+ZciqDC +F9/8dmax+ftQl4rMOdh/szt1c8sX0FrrQh/qvt5w0dOdSn902Vc6yo2yiw5Z +mdPUnfy2XNxe+GgKTX2Wc77Hdx2bh5iXmIeYl5gHmBeYB5gXmAeYF5gHmBeQ +a8g55BpyDrmGnCvj/5wOt2nSM04dTF55cbtPeXG87Z0ctnVyeE5hIX//BZPu +xtZo94tBtCbs+fzX6cF0eVBdv52RQfT80JEbo1OC6XXp8MPRdz3ozO6wRZfH +HKFDfsuXrFrA33/CvmvdvH3YzZ37N3EvHkAP609bZHViF63aeW5ySZMdaXN+ +Rj6nbvdIk+o4fUAhf3ItOe1W/5v3mF/Y4OLQvh3H8P2dMqonz1411FN2H5X3 +9ZtG8m9Y9KO/tZ4i8vysInl+V63wzaH3+mRQTJdJ22vX/g8/bfiB8BH7DSwu +jjh5WMCSKtndfKnGCPteKX+pydBkS7fY+UbaMDwo4puzgcpt+DVp3tRUym71 +x+OaIVpasnf/8c1BqXTvScGDQc+0LO6BOMh0104x4SF4h5unyK983rP8x57Y +Z7xLE/S7Avu95e8Pna298uFqLX/nZryfy6LvT/h7QheLRLyaGsHfrZkTV/Pk +KCf+PlDS0mlbJ5/m79BEbU932Lqav/ezqs2UVpX28HdlgAfwwnqxitvo22uW +8vd3gCfwAp7AC3gCL+AJvIAn8AKewAt4Ai/gCTyA1/fLNnWbNL3BYNzvsCnU +o0+Cr4bdpzRzxcacq+78fZk2jtaNH4UZqWxs6G+/nw1hdMG+6nqtKJffgb// +smffyBbrjxnYvgz2adAP+g3b4aypkc3fYymyscn83TNi2HyAXEHOjsS12Vft +EX8/BX7++mZTfkzw0TH6EXfFvSyLTh6I+PGO33sR9lPk3JQQ/q5rn5rXgjVR +GpbK748YXhTZvzJYQ3O1I6oFnuHvieB+oR7hlYb9SOSp/B5I2buJ1t6h/P0P +0Il9hhy3XremjIxh9ydt3z50a69yMTSroHNg+67YF+b3ACMfehZ6F/falgse +7LU3mKfIRz/oF/K28njzJ5erhtC3uluP3+vuz+SanH0GrpkcYvZ+xYYtjfzu +OuroyfXQpzZB1xldwBt0tOs1vcDdWThPoSL1h+ubzg3HuZkXLB/lkI9yxz7a +xYar+fsQ4DP4Dj0DvdPF4c8V1Q7L7xQnUdiDlsaBdvz+1g2f8xd02MDfW8os +Webs62J6Nk5+1/1Ge17h7yMstb2aUcmOv48APwF+AfwE4LVm4Jddix9pWfvt +ilUdvek3/j5Bv/lf1oX21zE7ALuAcYRdAF/ApyzdlvAF1iGUEZlRfEjXQHYP +TXq7qyXmZ2nJ736dqjbjkyj4twZrHXP4ffAZs/rUn7uX39tjqPjzkYVP+T1k ++N0G1kc4ZxjdouZrN5+nLB25qmqzg31N/B3T9MTBYCeqnjxIN/uNmi7kvPw5 +c+9TE92d31VPVtPUpc1GV9joT08/NJp8yFdNVcucHtgrLIjGeRyc3jVUTUP3 +JHXbMecZvS843MH+htqkH8c+sSoWSgkLV50Kvq6mWSuuZzv3DKXzJ5JtOp5T +U9Nb2Tbz14XRpAIbLtS7qKalq6M+udUIo8u7Jy8su0ZNV4s+e73FKZI+X1cN +9dqkpnnb9nieahtJa4aMKLJil5p8ElaNKHjL5M+cOGz/bYua9jlb2Q8qG8no +AF1p7vm6n/XeSTYb6k078FsMNb0/dHaywyHa3tTu47eFMYxO0A06QTfoBN2g +E3SDTtANOkE36ATdoBN0g07QDTpBN+gE3aATdIMu0Am6QKdfxqVnungHel5r +XqzVqL305dP2rzv9HKhMrYySusz9NDrU5pGqcwLdbLWzTzM/DfudEH43FN4i +fGsr60z6sHbGtfW+Rhowae3yQTkZ9FPQqMbuwUb62vL6i6/lM8mtc5ukpQFG +en+2kvXIMyHkWPxdqteap+QSeDEiItBIDbKDi6VeNZDb2WNV9jbJIPvR+T90 +P8nvx029uu5EbD5+fxjsAvxQ+KW4x7HQoSZbgh8Z2Lk8nNPDuTyc0/O08wq9 +PTeGSjqu/BGU7xiVW/HnDqfJMVRspe3ZfmcusH6BR3iPGi96fEuj0ydNf+46 +SmryxPQvjXS5qY4uuf0Y26ldGj37cXj9tmc6unv0q6bYtDQ69q3h4l3+OtK1 +uZJ/a/JTOnVp86OsJ74sRX6nA4ef/545iU48CHSdtDqGpciH3w4/Hn47/Hj4 +7fDj4bfDj9+f+j3o4c1MUq+tW25QeBZZvz28UXcvk6a2elC++7Ess99RYx9Q +vh8Xv+vGPiL0zvK5n2roOiVRQo/b+7zeaGnTzJ8Ssl5qWLqoTscRfbQa+sl9 +Y/XjL3mK/FMdH1up18TTx/R9h4dEamjXtHzDW86Op5kVlzZJM8HIRznkoxz2 ++bHv3+/A0gYntrymOGf3hx5BGjp3q+SqBW/jaWxVQxN1qIa+NlwwbmWp1/Sw +z/Jpf4Zo6OUgl5fl/tDTvKVf5nXQ6ilhRfM1feun05BhKbraGgNLkY99cuyb ++7T7defBa+lUPGhoeK1gA10rm/EkeU462T6bcOpUlIFOxm83JKxJpw99/Rx6 +RxqY3EEOIXeQQ1fvB0GXBt+gaXsnXWowNIaKXykxaXH9K9Q21qaJ99gYun68 +fV/rSC8aU3V51r3iMbS60ZCWET8eU48jKdZdf46hWpUX35r70oNG/EHvjVVi +6EsNV/dDcx7T5DtWmSPLx1CfNTfjy/RWk/vuMXWyPV5QsU1r7n5tp6Yzl7x7 +1t7ykuWjHPJRDusOrEOwbsA6AutArAuxDsS60NdY/WaIKpOl0a+vjB2pzyT7 +r2Ur7QnnKfJtHl+pPK5bFtn2nKR38Mmk0QPX+74qm0U+9VtZuz3LZPkoh3yU +u7l99JxJ3WLIUPbTV7dhzlT7Sp8T6yiGdtlVnJL+7S7LRznkoxz4AL6AD+AL +zp1cyjuHcrbFq7t11tygLqU/hl+PX8nsOOz6uwrT3lQ4/YzC/15OFgmhUsXi +nt6/kEA7Zm042cdHQ2dq5kuc2DuEmvcatHzzgQDqMvWK9YB1IVSizZbKA276 +Uc+LNwMH9DVQzfGVL1u56ijDJ8S962kDXZm5ISbViZ+7xTnc63WS0u3DDDTV +7vFFq5s6dk4A64ovWfqs/r0dqFrDmfniqh6jXrer3/1R6zoV1BU+aZ//EpMz +yB3kDHIHOYPcQc4gd7ueeP1ZcomaUqp/WhE6QEW9W9X/Nn2SmvrkplE01nf5 +y9EDTP7F6BM19UteUFLz9e+9xqspqtt0XyfbKFYP7aAe2kE9tIN6aAfnsHEu +G+ewcS4b57BxLht6Hnofeh56H3oeeh96Hnofdgh2qfZwl0ZdTX7XkO267jdH ++1JE9QeFC7xT04acuPQno56Sl9dc37Jxamqf6dD58OEAajai9zibBDWV6djc +K+2TP3m0uPKl5yM1ja7opuqS9Jz6Vqj9+rYJzv9XoeiAqOf0fn/o3jnRagoe +1f3ipeaB9GbfvIMfVWpKrhRePfNqIPW5tz8g21lNznccnRt9DKaYOTcGHT6q +pgKXdv8yyCWcLjXoVLCCnZqe/R7SeGqdCIYn8AaewBt4Am/gCbyBJ/AGnsAb +eAJv4Am8gSfwBp7AG3gC7w6/FHi//G4G2To36lrwpZESm6Tca/qHinZ3mqjt +8D6Y7dNg32bjh8UVP+1V0Zf02KZZFUJpvvXdG8mtEqma1dfqgzw0lLJrkPY3 +9xAaOSvfsIFLfck1to2+xPxkUh+s1eXDTg31drqyK91WR3PLPkjft0JDn4aO +yB+9IpkMlYNfFDN9xz4W9rU8I10bpQ7LpCZOi477FNKTv23lBa7PM2jC9Rlf +YsrpacqH1jWcszPofLGQpKFl9CyOjrj6wdmNt927YcxLDeR6yCG00+8Z1H/p +uFb+dgYaW2Zp0VCvTNp67VukwclI+b6HNG9vnUXxrp2KZZ010rm8ODri6iEr +B+5Yf9ekT5PqdzHsM9K2Q+qk9guzyGZpoxrPjhmpvpPr4DddVRQ3ctC9Ur6R +LEU+zlmyfXafudbDW8ew9emFQ0Uq5csfQ4VWlKt2sKYPy0e5+XZdwp6Nvk8R +hxemn7fm5VBv4JNBJ15PML+PeE+Z8kU/VPYj/6aZw3489KaLyRObuDXg9xHf +3tLrfIXZ/D7ifYHF3s7boKfN93Y6FallpNaPRhed42GgnbU2VF42OZGK9/hs +nfRQQ9YBgT/e/Gag7dfLPVi/mK/3DzetcPD9ZD3l/Ol6W5NjoJC7dfYemapn +cQbEHeD3wA9C3ABxBPgV8DNwn++PLudVK/frqc6Wo+eL1k2j7+3yrfe209Oh +NR0mrm+QRnGzNpWbboL/ejLcdmHdGLav1L3Ko2EJ1WModsSOMx3/ekQD3+5K +2lc7hlZM6h3lc9OdxVkRd/1zuvO48h1iyMah1JtVje/R1uLJdSu1i6Ea1Qod +y3C/x/JRDvkoh3OOOPe49vyZuq9nP6bGTXZsHrjAjzrlndPFuV1n47l+d9PS +KLpNy8V/ruP3BYOO5fFWI5I2P6CsSXsa1GgcQ+cnOn1veughpYeeHTmhPqcL +dIIu0Km4o4m0zmdgQkNnDQ0pnH5i8eVEWu3fo7idq2m9UrVF+uHgRNqUnf7Y +yoWfO8Y55M1Vr0yZmZ5I9y/VXd7qrobuPIrO+svDh3ok/LL1l4J+tOzq7uSO +d33oW9vmey8WMslToYNN87dOp+9/uKw6Nk5Pv6x/4Xv753Ry73yycpFJeibH +kOuQp+4/qtV+Qh9e2MU1muLH1u1Yx/fKu3cgIe8eggNf7HovytBSnwWLv8QE +JlFr39gP2Wn8Pt9pbY8XCjFo6Ubgo2FTSyXTqJm7R75P19KM4qNm2+QkUakd +n65pn6fRlvMjjD036al5pbjdt535/bx7o1uGlLnI7+PFOVCcC/26aV5Y/Ow0 +6lt2f6Wle/SML+AT+AI+Ie6AOEQ9zwxda72WrFZM9E4fnUzXZv1kezyZ3/ea +YH15WcW6iVR9+Ye+Az01NKNxQMUX7glkO/F6+HpvDf0fHFIVtA== + "], {{ + {RGBColor[0.14178533333333332`, 0.148963, 0.15624366666666667`], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNTzEKwkAQHE0g5pIr7bUytZE8wQf4AtE+6fUDptfCwkcE/IjYWqjYprVS +cMddQbhlh7lhZme4qGZlF8BAJpAZdYAyBG6CMyEu8nk1nvgs+OGASDSvGOjL +npqOQx31rdO/iVe/vXmOE6ASnMvOvWacUuWoo/9bfA+Cl4nuyvh7oHr6P1PN +XTnNzGTkfW8gT/080dw2Vm/qyDeh+hKzA7vs7Bbe/OtRWJetV56d1k79mc9M +6tiLXGSehfG8h/lH616LT9wDNl61zV8v8sz/AP4AM3Y= + "]], + PolygonBox[{{2867, 1135, 1181, 2557}, {3477, 1031, 838, 2683}, { + 2541, 1177, 1134, 2865}, {3281, 808, 2057, 3465}, {2865, 1134, + 1135, 2866}, {2583, 1201, 1031, 2788}, {2682, 838, 1045, 3476}, { + 2915, 1181, 1201, 2583}, {3380, 1045, 808, 3379}, {2587, 1204, + 1177, 2912}, {3464, 2057, 994, 2752}}]}]}, + {RGBColor[0.19245004999999998`, 0.20833063750000003`, 0.2244391125], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNVMFqU0EUncQkbWZeaOrCLlz5CTaapu1KwR9IFl0JopiQGLUiLqwGpIui +uNCFVkVI0YVaEX9AFy4EW5KNv6AiNGA/QBA8x3MKLoZ738ydc+8998w7dv5q +80o+hNDHOoQ1LIRwHauHzVsxhMPTITyuhPAchz+xJrkQnmQhdOA/xPknrLOI +vYuYLuziVAjNnOwSVhWYO/6mT7xxKYRLiN0HTgk4TWCMStr/gtg27EX7tKP/ +9jsl5Rt7nzjXiiH8Rs19+DXYeax1xN9ETRWcvS+H8C4p5jX8y3nV1MrpDvdZ ++w1YkrGb0zmx2UtWFM4A3yt53efdV2Vx8jYTL33HbxXEI7FWi7pP/KHvz4CH +qvOQk828cjEn+Tji+plv3THku+pv1rtqzBp6/AxuT8DOoMc9nI9dF+uZGIe4 +vMuaeq6feWrO9SwTb7cxi/3os6i9ju+2onA4N852eUrYnBHzsPcVY7NHzmh2 +WrNrmVP28qii/bUoDGJ1zUfLMdzPzDntsmO2M2nxZZRl3j3Pino40N6O6yFe +z5wzjvHUe9s6ov/CWMQ+Aw430PPTTLx2rL17FflfM/Ha9ayPJ/X8qyweiEvM ++9ifhfMNNlWkhzeI+WP91ZLw2sYnB4vu8aC3apImt6ylid8D8RfASb2o3uZd +A2uJFb3fk/C/J/l12EZRd/j9I0pzc1G93ilIW5zzhn0u7nMmI7/HpvUz9P/h +nzbzmtfppPhTSf1tWs9zznUhqQ7mj36X1NLAemQvnNGuc7TMycD4dddPTh9E +1cr/EPEWzEPNul0D/rmk93Y0StPUcS7pXfB/wRnyXsOYH5J09hF2uyzeG/D/ +Avwwk4Y= + "]], PolygonBox[CompressedData[" +1:eJwlkU8rRVEUxde7vMu95954BsbkG7xHTClf4BkYKaHeQP4lA0/KSIwYIFJP +Jv7nCzBUUia+Ai9lwNBAlN9uD1btfdY6a+2zT+/UQnU+ktQDWkE9l7op4hZp +LJUGgrRM3wAB7pOzx4JUapf2rE+kcQwaYBLtYSZtoq1xfwftFpoJuFosbVNX +0MxFfqdMXU09Ky9Kq/AFzsrcr4B1uHv6DG4RXFPvpu5tmiOyBjl7Yp4N+pHg +GtP+0N9QDwfnbKZR6n0yuph9lvxfZr9NPNsy7uCbYKjob36j/ibjOfY7a2Sf +J+69hKYPrp76LkxjWpvZZrcdflG/4lGK3NO8r9C8M/8xOIWf4ewE7Qq4TNzT +vE1zlviMNusBaKJ/yXyXD23k8Jb+3Gv7E/ubi8T/yjzNezr4Xdv5H1xn8OwP +9B321uDZtkPb5T86FURG + "]]}]}, + {RGBColor[0.2288727925, 0.2508225725, 0.2727220325], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJw1VktsTVEUPa/3vtvezyvCFBEmKvEZNGqI0mLgl9RchBnRMCARn6mBioka +1GfgU20Hon0SJk1fRV4TJMz8EgQjE+lHmvRZq2sZ3Jx99tln/9be+9w1R08d +OtkUQniCL8L3ogjhIhgrKiHsykO4XAphO9ZOfNsgsBPrqSyEDtBXIHu2BffK +IbRhfw38WdA3wZ/CvTtxCKuh8xjuHMT+YRpCNQlhDN8n2NgLG4OQyXAvaQ6h +jK+E+8OQn8X5CNY9kWTfQ89+yI5hvxL0DpydwX4r1tPNoqs4+4L9Fuj4jHUj +1k3gD4D/KtLKGCdgf453sakl2jOeOnzsKcnWvVj+c1/D2UQk29RHWd4NZclR +5lGqGBlri/UfKOneXvudg98Juj/SehnfrUh+03/mOkIsTc2KlTk8Yn9+5tL1 +Ixd/faSzG5Fo5plrm/l3kdMM9gYLxXHXWBzPRS/A33nItsbK54VMuS7hvAnf +H+h4k0r/hli6Bxw/Y/+Ui25k0jdo/ZO404Oa+FJRnLec85mKamW2IqybysJ4 +c1l40R7ri/tlkA/Q2wt6Hfz/DlvtoL9ifY7vEmRHYKcrUr2sgniRqW5Zv6xH +6mceFmLppP63sfQwtzwvWYZ2GrFkGqkwPQE7o8aR/tSti1hT34L5r1PV2Ydc +OlgTPZZtWJ46/roepnHeHcl3+jtl7O6nOl8L/0fx1VkXmWqP9cEYeXc8Up2M +Wwf5A65H5plrv+kfrpmnmTAhjsSTNm/YLmu13/dZo/PuL/bFZCJM3mXif0uV +L9plTdKvcftAOzXT7OO66bp7Z5Xla7bDHOyxnprtMJ9dPiP/t2uStXk4o7Mh +nK8Yv2bpIab7XcOf3fsjhfAiftTJecO5c8m8MdOcK6Qp2+leZC6W5NovzYUb +8aP8Vs+cDqzLc/X1r1w5qBoX+lj1fGO+r7aoJ6mDuV7EB/7Nwc8+xDRTFs2Y +GVPV+WH90C/6zxqa8hxIE+lZnC2JckcZ2qtbhn7NWw/r/LZ7jbXFew9SxcG5 +yZlFu6dtm2uv+fR5wvqf+13IM/U6adYP881+IH7ngE0Ddw9lygFp5o191uW5 +FFk/be7O5Newe2fBPci8tXmuPTYGL/gWFIqlC/e+eSZwNhDDUeN4x3Pzf9+N +Gmu+Z/SZcVAvZeg/7USeA6xV1i594pqYZt/NGKMcemLw23O9AxPGlJik7qVe +55MxPsvUb/sqqpNp52LIcTE+5of2Fnskkx/dhd5X2viYqxdrfqeIaeK3cta+ +sfb4xhWJ5kFmf4g37V9sUc+XW0XHWIcKyT8uNGc5B68Xwih2DaStquGXqeKK +/vMTvWeMd7gQ/vxHoC/T9qevEJ58T/4BpaoNBw== + "]], PolygonBox[CompressedData[" +1:eJwlk81vTWEQxufec+7lnPfcW4m1hS0JESHY+W5rgUr8ARLsNBEWRELXXah0 +gQ3aBUrVRwgJO6kIgsQOVdEFq26a9BLh9vfkWUzyzDwz887Xu/rI4MCJekRs +Q3LkdhFxsAZeFpFaEcdTxLiIRsQD8KZkLkNK+Bfof+AvEPMcPEf83yyiH9vK +5BjFdtHvg2/BH6g5ZhL9EZLBn14esUi+VWVEO3eOT+AfehP+I7Zh8F5s19Hr +yEP0Lvp6uHXo78n9JRlfI/4zuIS/Az+GHEO/UkV04IeoYTf6FNKpO2cf3Gb0 +/bnfnAOfpaagthl8NpLrH7IW/jC26cI9qbeT+Afcpcp4gfwj4Bp8H7X0Iufg +/xeu5QZyFG4Bn+lmxBb4Qfhe9DeZa9qDvhOfrZl95Ps12Vc9zwgjp3LvbILc +8/g8bbrmQ+odvWx65jfhE7bzdc+kn97yNjq+b8n5DO47tjXgYWwF3KvCWD2r +907Lu5KPfPe1HKucFfwI8pv+F5HLvL2C+nYRm6hhvPQMNAv5XK28Q+1SN6Bb +kI98C2Si8ow0K91gl1q+8d5o5pobbe9Eu9GM50u/qbe144vo25N3rRntAD/G +9jLzjJ/gO4VsaHjG98AfCu9OttnkG9ItVdQzCT/b8u5Vg2p5h/9Q7h57dE+F +/0KX/3EG/lfyX9CbP5N7Um/ayRi13K2c+7XqQR8oHasdapf6Y/pruknd5hJY +rYB9 + "]]}]}, + {RGBColor[0.2607944475, 0.2865273075, 0.3089483275], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFVktvlVUU/Xof39fv1UFJHNiaaCITbu+9DQMHTaoDE3mUOjC2N8GZCVrQ +WJDokAEtAasY/QPWVkETBMHYxOGFpPc6gBI0TACl9BGZ1vrgUcS1XMt08HXv +u885+6y99uP0mdfHX3mnEATBEr4ivgb+jOJ7tSMI5iH7ykFQgv1AGgRfQBmD +zDuD4McwCAaxvoj1Or6jWOuCbQGyG/sr0K/Ax3XoJegV7F3A77FE+ldZEHyN +r4y1LyFXYc9xtheyFWovz36L+w4C4HnI8YJ0YvsOv+9BvwA5DX+TOPs77Lvg +6xH0c7BvlKSPdGh9wnsoj/6v47sD/E/jrus4OwNfpxPx8FxJXFwCnouOIe3U +b+r0s+jYB4ryQ2xt6CNF+ScHjIexRJH0vbAdBL4abPtT8UNu+fsa5Af4+qDP +Ac8TWPve3JBfcnvIZ+ljCt9VrJ1KxCV9cY3+SubxBPQ5fJVAuBaM9yHklO+i +vmGuaHtovR0q13sdR9s6eRt3LuIu8AVeFnPVRNu534p4n41UQ+RmyTw/jnV2 +H7A/Au7L9A3bPM6vYs9h2KpYP27M2yLhIc71TLy/iLNN5+W1DuXjouNljAOu +4THX7duQv+F7Af7vujboc6agc02fveC62gEMb0GPcXcOXLMFYSKeT4BhDX4+ +hdyDPX/ibIg9L+HMZ7DvZB1Bfl4Wtl2pOB2G3O21YchfcWYEvN3O1QPM32nI +j1LVwUnIvlC9dAx+Mvi/CTxD2D+M9QdF9eh6KP/MF7mmbQ36gUT1+mGu3DBH +f0PegN8q9t1MVZPkh7G/n6i3P8aes8CRw+85yPFEnJP7Lal4WEa+WkXVPu9i +3plz5ve8e/ZNyG8y3cU7ubflvrhfVAzzztsl5/GvXPyzv8lf03bia7qPyl3i +jfydylTvh4GnJ5J9C85PYS2Bvh/Ya6F8TcJHbyQeLrvvWceskzuxMF1L5OfJ +SHs4A6Y9E1nXLdf2fKx11i+x8y7iZK9kneqRk7n097BnNVZf73S/lz1D9nmu +/ROr9jl/yCGxEnMVej/21kPFxVxzjfYjBZ2d8JyZMP/EvL0s3EEqnwO5ctJw +X7CnKpHqn7H2Ot7ny5o5tDPmaecrSHSe8/h2Kv9XY/XoYFm9yd7iedbHz4l6 +5qlEtkHbeSd/0z/jOhupthuQo5FyRazEzHnM3vojVLxVyBuR4qYfxkC/u3PZ +00T573Es6z7L3vgl1Tt1K1XvkiNysSdT3s7EmoucHd2ek6OOnXOMNZwVxBP5 +Yq9xNnRGyjXvop25iWxnX1FG0eb8pM5a/ilR/y7F6oEHvveNVPElWH+5pJrk ++zsEnLOcLYnu4X3EQL3H9zLWdXPFuXHEtTHq94h5J6+DrrGFWL37OFF8nB1r +ruG23/clz27O06b7iD34Ls6sQD/mOTHpPmE9nPDcJi7WLLERT9WY2H/kkX3O +95mSsSyX1QP/YSvpXeO9nBlt54J90O95OO81YiZ/uf/34Izsd7+w54777WAs +y/bPuqGdNcmYap4trMGKdd5Vc7+xTqvhZq3Wrbc8g7tdn322V6yT/8lM9x4C +ZztS8bMSKydtn73iMxOe4Xw3mfd7rjnyQyzER2zEPOP5QDlr/b7x8OyK31xy +SLyNaNNHw33H92rD7yDfw22eCZynNf+vwdrY6necnNbNyZDfNb5v7OmK+3Eu +Ua+cyRRfyzEyJvrhWsU4iOGHRH5LXXoj6q5D+iIe5u5fcoZVHA== + "]], PolygonBox[CompressedData[" +1:eJwllM1vTGEUxl/T3unc9723m0ptRCKxYxALCwkWpB0zHQuJNGFngZaYqo+l +BRUMFf4BMqUlaqw0JKwkFQtpU3a+Stuh20p9BvV7chZPcs57vp9z7l19oLLn +WMY5VwTN4G1wLh85t7DMuYnYuefgJXJ3zrm4FR/QRsBe9Aj5A/43m5zbRMw0 +8pK32A3o79EfgL8k/gPqyE8T5zZmqdPiXILvCdDAdxYMYBsFScZ6uI983Jtt +BpxDn4yt1mbyZci3CvsY8kXQGayGat3ApwNbmtI3tfbR0z1iB7FPYV+nmZHP +kvOjcvNWwd+DM9R/Q0yR2D70Lcw3ib2qefBPszazZi9gHyK+BorYOni7gO8l +0KBeQo5ci/VwBNssb3nyD4HXxJ4nZi6yGqo17K3WhHIEg+RWat7G9i4Yt+pZ +vQdvveaxP0Hv0Qzs5hn6V/Tl1K+3GOfiPkJfRP4Gusi1I9jsA2An8gz9/aaX +Mno7+kpx2Gxvr5BPgq3INeCwz8XGvWbW7IvUeEHulB5O49vD23pcb2HvDVZD +tcRhHd9D6H1wUQFL5Coktrsa+iPiy4lxu5/9dSHP4789Mg7bkNfw1t1kOZy3 +G9GtiNN+9FJqt6abfYx+GT3Q21piDnvjSFzprdfbTeg2qvRYQp5O7db1DYzT +X7/252znJWJHvHGhGx7H92pqs4sjcTUFfiHvJt+KYDvSrrQT7UYci2v5fCL3 +v9i40A0exHYd/4XIZtSsn3nbFhkHX5A7yf8zY9/YLuyFYLenG7+CfDQY97pB +3eKdxGaP6OFuYhyL63b0MfRT6EnOdqhd6pvRt6O3QeKzqd2OOBAXP1L7N6iH +78jlYNzpxnRrulndrm6o4e2b1berma6R/6G32ppJs43GtmvdcJX4kcR61Q0N +I/8H0V6cpw== + "]]}]}, + {RGBColor[0.2927161025, 0.32223204250000004`, 0.3451746225], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFV1tvlUUUnZ7Tc+r5vjkJTVECGhJCUEwa0cSYQAlPoISblweCYkRRlBaE +nlIQjJc2XjgCLQaKDxADsS0awVdTX5BLTMC2tIUWSyQxUPkDppKIFVyLtRoe +JjOzZ8+ePXuvveb7Zq3f+tKWTAihuiKELPqvYwgXMPgxCWE3ZGW0K5DfyGNc +FcJ19E9gQyfaAsh3Q/Y5G/SOVGk+WKG+7HF/LoQ+tDroL0tD2FsZQhv6Jtia +/0AIC3He71jvyUq/FraPokEULsGPYxg/ksgGbc3Myo/dPvc52OqCzsxE/tIf ++twBvT60qVgbwr5BtNmYz0AbR5sPnbm47zrs+aEQwvPFEPbD7h+Q7cB8IdYf +jbLNO1N/oEJxeRltBdY6YXMl+pPQfw2yj7gXfiziGVH3WgV/nsb8fcxHMN8R +5Ut3Rna25WSTPp/PKbbzMpJxjX40wGYtbPwV1ddWypfvMK+Cz99GyTjmvWmD +thbY5gWPGTvOaf9D7LmGcWuUT/RtZ9Re5og6h3BuBja/gfwfzG/bZ9r71TZ7 +bZ+234vyl/Fb7lwz58wh81qDtS1Re9fB9hyMmzF+HH0O8d8H/ZWp7J23TeKk +hHYL576bKJZnrdvtWHURJ5B/gb0TOZ3Hsy4aM8TezYLy+Cx0pmc1pv+cc/wn +1t+BH+egvwl9A9o06L1i7NEXnnUWfT/OXpxVrIkv5uLNRPjahX1teeWOOT1c +pdogtr/EGSuA+ZGi8Htksn6qpEf9yRzXJ8oPMcQ7N2L+JM79LKpW6McQbPZW +KjeMRZ9xxfvSR+oQl53Y+wzOPYNzW7Beyqh2aOewffvYeCAueA7jOQ75TceW +MT5iP+kvsUA/efdG9HOwZ0pWeCdf0Ofbjg0xczmVzr+wE/KK7ZoKzSkfxPoS +yB7M6F7DrgviqRk6T0GnvahaZc2uwrgbsibfp8fxYAwnoD8Xa1dT+bLKd6Tv +1KMOMdVoXNHvWnNO2TxGjmkqKL55nJXPi0+Y8+8h74O8WFT+y+aF6wXZeQjn +tmYU67LruNm1/BvWHoaNV+HjxVSxO4DxzkSY2hvv55J4ox71f0pU4x2OOXma +e+nz2kS8Ngx7A7ZJ24zZ+Srd8QTGXZXyabSgOLen8r/VfrK1GBvETo/x80JR ++txH+WLHmrVWY5yczWnfGueOtcC8j/q+vDdjwFgwf+RO4oPY5Z1pcxfucQ5n +jSHWdyG7kiqPzCfjyjyxrvsxr8Z4tbH0N+zNCspnyXPyOPn8xaI4YMA1/DP6 +U/ab2Llln5uidNbD5mPmJfIT87woex9n7KnPu5Y8Jn9M95sSjCv68EYiDiqZ +Sxgj6vN+xOW8IBmxRnuUXbeccSKPMFaMH+Mw3RzHeuyG7asFvWWbYX9fKu5e +mup+PJ954f3oD899PRFfb43CRZPxz5hxzLeYrS6r/TyHXEo79Iu+0rehVPG/ +hL7enEnu5Dt7yXwbjL9mv4cc86zmKJ23Ep1Drhn33cfMG6wzYpLY/KWo74Tj +iepi0PanpfpOGDLvUk68sR+yDv2iz4z9nlRnkUdZP1P9xnL9nO/F+mEdjaBv +zws/jP+9WskL88xJu+WTc/IJa26K65H1T7zeKEhWbdwyj8zhAvMM70xe2m+b +kzXJfn8qzh4zHi77XrNtY4bxtgHxPE1c4V57EKtRjE/g3GV+s5cm4sk+cyWx +wRpgvZB3q+03813nWq7AmVlz9KdRmNiWqGa4f9w8QT5hDewyd3VA91DU21NO +VeOjrvOGVPr16KO5e3MqbuYbxzh0Rp37le0tMc+sSPXe8xuh25xxj1tyeoPu +fZdgzxnM3+b3WKX4jhjqjuLu4+STot5fvsNnHIcaf6sRo9v93TtsLHH9tGPF +2FGHGD4IvTuQH43SHXFe2A+b50uuJ8aVfpww9zYZ959E1fQM57MlCvv8xmHs +GMODkB1DuwubHYnyQn6hP8uj3ia+UY2Ws8Zpl/ZLifj5P9+xrSgM8O26MykP ++r6rsM3g8TTX/YRzTWy2Gf+rzb3kgE2p8sh8bkiE0e1Rtidsn3nr9bcaY3HK +8aTOXfv2QRTGN6Lf6Hdub1E8cNJ5PBD1FvFbu8f/DJyzv+Yxv0vK5ub/AbvS +tIE= + "]], PolygonBox[CompressedData[" +1:eJwllElL1VEYxo93Mv//cxchEVQEEpWBZEEEpbQqGtQmgiZIswyn1HvVsogG +qI1DhkO70rpagX2BVg0SZE6pXDFo0+A3aNOi7PfwLh543uG85z3vcAqqm082 +RZxzp0AMNHjnxuPOrY06Vw+vBcXOdHXw90nndq8y3S3kfuQD+O4HHYFzM6AA +2zv8a7Bf0Rl4PvbT2CqQM8h/uPQI/B74hrwL+114M5hE3oh8Af8fec4V4TsM +5pE3BMaHsS/Da0PnUsgjJF8PrwDd8GJ0h+HV+MwSbxq0eIup2NKlkVfAz4S9 +KYPtMpjHNgdasT0DOdgjYBBbO/mUOPNpw5bk/VPcNwoauK8xNK6clNtoYLnu +QNeJPIWcz/nV6KZ1HzHexq1GZ5ETxJuM2RvK8X+K/S+2f6Af+w3kTZzNIt+E +j5HPUtxqWo485M1Xd+iu595yV0/Um0bk35xfB84jvwHr4XuxtxHrQ9J6oZqM +w7+SQ2HMfJbgvWBNxHr+CN7H+Rb4BHhC7CxIc/ZTLjE5fwL0JuzMcXgrd0zh +m0A3iu9t9STHZuAOvB0sxO2Nl4g9AFbiVgPV4oG3WpZgT2P7Rbzt6j84SD6V +6D7jOwGuenuT3iZdk7eclXs5/V4kn/nQerGZmAvwQ4HNpnpQhv82xeBsJTkW +wreAUme6rfAzgc26eqhepsBM3GZEs9JDzC5iZYjZDR/wtivT6Aa9zahmVT5l +mmXwOmY1Uq26yLEIuUj7yF11oc36GGiBt6IrxbaH93zE90VgXD1QL+QjX8VU +7If47ITv48w1fL+E9nb1cFbvDy1X1XQ5z3qoXuqMC62mqq12tIrzj0E0YTui +XTkX2N8hXUb/g7e3qsd98JcgN2FvqsV3BHkgarpX3v4I/RXq+TDy0aTVXjN0 +DD6HfShif8J38qsLrDbagU7s2dBmWzO7GNrOa/fVk4v4dnjbHfXwurcd165r +5mqwpwKbLdX0vuYxsFppx3tUX2+zq5yVezZps6SZ0l/4H6S3rzI= + "]]}]}, + {RGBColor[0.3246377575, 0.3579367775, 0.38140091750000005`], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmXmQVdURxt/MY+bOu9wzEh1gUBNBdty1rFSCGGM0imDUVCrBBA0BNQsI +KosoRmAYFhkUBRcQd0yijopsoqwRkPwRWWR3jZX8YSUQo6AYxSzfj/4sq7ic +fn379O1zTi9fn+kydNQPR1aXSqUf67+yxq41pVI3PY9VlUpTakulJj3rRW/W +OFXPk6KHmv+46GbzTyzFOM0075m/STIfZ6XSs6JfEN2o8Tk9y0W31gZ/tr69 +Mwt5vvWk9S7UuETjUj3niP48lUo315VK/9X4SXXwh1TFuMwyX2RB8/7o6tCD +Pc/7uyuqYuT3PXo/PItv7JHMxbVh0yLJHBT/Gdv2oPZjgZ6BkhmWl0p92pRK +Y4tS6Seie4i+TvTVonuLHiX6I23kGsnXa+4HNTGfub/Wu42if6XxSsk3SO6a +Ivag1fvTPwt51lVpWyqdK51dtN49Wezt76vCpqdt54DaoBdXxfiM6fuk/ybp +f1z6H7b9BzSvTjr7Sedx0jlXMjdK5hHJjNP7yXrGSGYxtujpKz3z9N1F3h++ +NVDPRaIvNc23hmm8xmf3gfTeoDPqUF8qdcri3XrbNsA2r8xiPnOPqg4Z/Tui +D/4S8XvXxHkg37826Islc1Y59rBR48v4qMaXNPYQr6ee5y1/ifcT/gDbfKbG +s/AZffPYausV/5gsaORZ9yKvvXNN+Dp+zjzmP2Ef7mRfWlPEu/Za9ztZ7ANr +Qg/7yJ5/lgWNzseymNtf391TG76H347IYs4Q7+dQ78m+Inz1hhTzGj33DNvT +IHptbfzGzgvtK29obNS3OxIbVTE2Ou6I8TM8F15H63xTc67Q2b2VIqaW2J6t +2uOxmjNa+vbKf04S/YbGfRpH6lt3SOZ6jXP0DK6Kca6ew5IfI12fiz5fvvZF +dbyDv066s7rYzwPi1daFPxC7h7PYk+YU5/RmpVT6kd7X1UU+2a/vjsri+1M0 +NusZKBu31Qa9tTaeKbZtfhY0MoxN5rdUBY1vlxUTv9X700VPS2HbdXns01qf ++9gUtl2Qx7qvtx5yCOc3xP4zwjHDM9z6l5hGpo/svjILH59YDj2D7fODsvDJ +7cQXcVKOvRzpfdtmPmuZJ3tmife1PL41z3xs6O9vkUug8cOj0J1FfiVGoX9X +FXlwQBa+8brmdqiL77bPgv+i+EP0jROwtYgzWGt/e0i8N2siLlnXn/R0kL5f +SL6zeDeQf/QcFn+OeHcWkQvHV+Ic/1kT69oqfzpR9La2cbb7zcd+cij5fLbm +fih6hvQ8oN/fEr1dNiTNOV/nd2oK3+zjPMAe97E95I8jOUXf3i35XqJ3tY2c +0cvyhX5/V3pOlp6eRfh8jyJ09LbMp/q9Rbrmp7ARH+wnne3q4jc0sf6593ys +1rlF+3Cj5l0ru7uJHi36fY3vSP5sjROLoG/X+Foe9ePRIurMHvG76/etRdC3 +FOG3fBffGyP9m8mFmrdSzzZqT4o9+9D7NjeFfbs0dqmJs0ji3yddB0XfW8Q5 +QA8iv0rPPzQulfwW0QdFPyGZWUXovauIOvO06yM1GT/Bjzbr3V2SfygP38Av +9ldF7DMOtk9i1xDXuxecJ+uzqJnkJdbHOtnP0eWo5dRxbGnwb853kONopuOZ +WOMM75TMLH+fWrFP7yZ4JMabnRPIEztZRzl0bG8TeqC3aC33iP9wHv41R/Td +5cjxw5znybHUIPIn50CM4G/k9itEX16OOoy9f5DOm20DdF/pHKffY/ScJ3qm +xhl6zhF9i8bxfpjzVFXU/6nGAJPKkTta8X+to8iiXuFr+Bh2sf4WPatdX4Y7 +L3EO+3wW72URR8TTuxpPbRM+OdvzrtLzHfGm6nezcxXfxffGGS9QFz503af+ +w9vuuaOcu/Y51vEv4npZFuu8tRx2k0vAnLvFH1uOs37K+8VebdRZTBb9jRS6 +Z1r/dufZgd7Hcd4r9gf5c+0/T3nPyfG3Oc8z3u49xN+bTE/wyP7Am+TfE02j +88vfyOBDE81vMuZlPWNtE2vp2Sb8ABtu9bliE+Mttufv5XgHf3EW/oGOM13f +qUH1zt9g4x1twl/ZjwM1kVPY39H+LnpY4wTrn+C1Y/sYy2EbvjnatpFrOlUH +ptrn/WduZ/sUWALMC25cWPVVXA227HjLXyZfaJcF1qLOHOVawzq6+rwbsoiV +ZcYY+FEny1PXWGf3utgXzrXV+QZM+GoRZ/NgHnie3LPceLDR9p+mufvKEVf4 +/FmOPfJqd+NG6jIxSt74wv0FfcZuPTsld3fbyNfE1DXGMGdbH3Vvo2vf7ppY +Q3d/v5v173J+4RuTHWdjvE7Wiw9f7tyDDS3e/6uMhZa6l1ngPoI8+YlxGniN +M8ce7JqSAouCScE15DHidLS/eZWxGbKc1/eL0HuBxr/mES/zNXbIAndRK0+u +C8w61X44xPm5R11gJnx3rrEfuQHM32T8yjcfcC7YURuxCq4Aj80zDgPLbDOf +/ML5geufM15dYezK2S4zRuL8qcXg+h7+Pd3z2HOwP3ieNYDtW90/DHQPAs68 +KQWuBl+DcxqMf+h9u7p3w8cZ8XP6yKNNk4P5jX/SS93uuGLf2hsv0bdNdr5Y +X0TeeSAPG+hv6EeOYPLqqB3Tfe6XlCKGOSPy5Ks1kTuoYeAO+vBZxs9rnWvo +O4lP9odeDrvvBSOlmANmeVv0n2VbvxQ9JzV0UB5ranAs19VH3O5N0TeSr+6X +zIkp9nSTeLtrw6epbQ2uv8QwcdXoHAKm4lw6Vgf+w7ahecidYDvBkdA/z0PH +ldZDrRhlrNtkPyEu+ubRk4+QLefkcadwvegNwj9rRPcUvV70atE9RM8pIifO +1Xh5ijp3hcaGPHLFjaIP5pGTXqoEhmZf/5UidskR+NKhPM7zsPgrK5GXO3D/ +kEe/uFa87+bR440W/8I87iDGif44j1p9P/KVuOP4nujbisgdr6TAweDh9yS7 +phJ1sVOKvWMP8ZOuKXrmbinwCFgEHHJ6Chr8C+YC91Dz+6SgwbPTylG/iS1q +CTWF3H9CCh/ljoE8Co2vTioCB0zWeEc5cAmY5OspfJ37A2oUtZtcj1/Dv815 +CPxAbrypCL+82n0DNOe+QXq+KR9br3GhMeL/JPtIHvhqaxE5+5S6sL3etYNY +eykFf0UKTMZerNK4IA+895rmrtS7UyXzssZWzlL0M/iznuNFT89DH3rJY9Dt +XJuwHduwCRyNHvagnW1Avt44lXgBc4G9wNLg6mQMNtL9L/nw0zxy2B91tv+u +RG9Oj07MUUcXOm6IcWJnYRH0TzWvfR53CpdK/m95+MmFev9YEXO5f9qkZ7/m +r0vxbWzi3mC+8zm4ifzYw/3LvDzy1QbxF9PnaI0vaNzk+xP8jnoLn3MGj7GH +Y322D7n24X+cFxjxlTzqQpP0NIlulPzDKc6EfSSnTRX/WPEfFX+a6OOoK2DF +IjArfdLzKerKIo3Ppqj9z6XoKcHW5IeJ7Iv4D4q/LAVuo1/ZbuxOHSV/vu8c +Su7Z4ppMbd7qPDuyCJ30T+Pz6I/ok36Wx16M0PvfFJF/hxeBV7r6XnSHYqA7 +vWfbqBfdzad/7WIaX+jiPgufYS7+s8b3q/DOy+Nu7qIisBx4g36HeZ2tp5fv +5noXgUWQmd02MPsOYz9qLfKce4v3AT2MO0z/Mo/7k+kpaja1+3TnHfwK/yJ3 +kiuIO2JwmmsquYP6T52a5joNn9iY4fNlT6cb83Dmd5g/3TLIM043n9jFhwaU +YpxtmlxOzmH+qhQYbnWKc0UGDLM8BS55MQXvbvsh8Y/P9U4RE3eZP8MYEBvw +2f3mr7UcMbTZfTf990yvH3lqID0ndRIMSmyAq4khfA8sTc5C72kp7qrAHR+n +qMMfGUOQl+/02rFrlm24tgj99Nkt5n+5ny2ml6Q4r88qMafF+7C3NnIatfjm +IjDo+CLqM3Wa/WR/dpoGV9OjUefAKmBIbAWX7fD9JHhsu/upXVncu20yrm62 +D4A71rkf4d6O2rTYfeIqY8XuKehXZPOCFHdKk8j31DbRk50ndhj79RJ/reQ3 +Sn5dJWruIeeM3cYb4BLwycEU/fVe88El4JOpKXx8nXHRf1LUemo+GPN1f2uR +sWhfY2/2Z6b3c4/vY9G7q/ar97u8hy9XoqZT26kL2EPtICehnx6wfX3wwBf4 +MuvCp05KcfbckdAL/CULfLxB47tZ3JNzxwtOo2aMSjFSQ94W71AW2PGCFGdz +qBJ/M4FmvejYaT3sK/t85ExTzD8mj/v1t62H+wTyOz3gZSns+UGKv0d8kkWv +dYoxB3chI1Pw+0nP8BT3tt/O47zpEfAN7lTmG9uvqPh+VzJnpljnGdSpFJiD +Hu7YFBgCjNxR9BLJrKoEToEm5voZu75VibuXDV7jPH9roPHI0ixyW2MKenUl +7qkO2D+b3WsMdP0jho9P0bvTw9MrERubje3pIegf6B0GuUegJ1ru3hU8Q6/T +yfa0Wh5cOMz8ocbsW3xvQ93bax9bYn/Dx+gbOlg/cdnBfcRUz2fuI/wNQO+a +XW/bGZM0uO9gLvdw9LDMJW6Qx2/xzW32T8atpgd4Lms6kEIv9fz/PxWllg== + + "]], PolygonBox[CompressedData[" +1:eJwllmeMlVUQhj/YvXvv/fY7atClK0WWpShYYozSmyYKIsYYbBERQaUjPdKr +SpEmCAgo4g8FpEnvRVRCky5N/WNAUFhAaZbn9f0xycx5Z+a0aVXad3+mW8ko +itZAudDHIYrKZqKoVU4UDY5Zh3bD70xF0UvwjyfowBdj1Ah5JXK5vCial46i +UtgOY60M9gdYuwbWFbkOjk9hMxS5CJ0N6L6Lz++RVyLfg/4o5G8T76m9S7M2 +C6wctAL9gaxtAS8G/7REFKXBR4PtZK0Ve61F527kXcjvobsRuQZyXn4U1WP/ +pchrs/i9JYp6YLsAHwXwzdGflfKdGuN7B/Qb9nXRWYf9efAV+L+JfQuwc8hL +dTfkJsgL8fkr+sXYTwY7Cy0EvwxeH7wv+F7ww+D9wLaxdga5EP8LdXeoCeeb +wFpt+J/BG/IPw5B/ga/L2mT4pujcB/8dPkYj34v9auQlUFHGPuW7OvL6tHWk +OzT2W+7nTFeR+yc+SyF4X/i24HfAX4JeR66J/fgcn6kWfE3W+qL/Nv9dCD8s +8V8+hM4g+Nmxz35Ob45+6eC37iM5MYmvxhm+DP5D/aXOvDTYp3z3wWcR/Ez8 +DQc/C60An8vaRfie0BSwRbznsJTPVAPsEDq34asBb/YB2BusbQf7EXoHvhNU +Nsdrb8IfRecR+J8449PYzoQKMn5zvX31xGfRn+nvvgKvDj4AebNiDfkktrdy +5iPgFZAb8FaDwMvDLwr+277ImxLnjHKnFnSEWNwHVYWfR/zdADuOzgj+5iA+ +r+DvGPZH4D8HX4P8HDobUn6D3fDTY++Vw57L0H0f+3Mpv0F//QX+D+T6jrpr +C/CWkWP8Mfgvgv/iMHv8BX4Q/SKwb6AXFa/BsX6F+zVDHgG1Yb+K2HwCdi3r +vfUmi5FPKB7zfOarYGe0B/Il5HrY9kBnMfIq7tMd/kPWeun/8TEf3TT71891 +jm/A/jOoXgnXkNnoj4m991F83Egcs4rdI5x3oGInOBdlI9v1wbmrGqBa0CX4 +LBO5Tyl8dQ3OzSXoX1EtSRz7OtM03TU4NqajfxpsJGvl9F7sfx25H3s8GXlt +DrpdEr9dGfSPgW1l7eGMa55q3+qsa01r1jLUm/3ct1rKf6q/3RScO8rxOaqn +UMDXDdUkfE+OzVeB9uQ7ZhQ7hcgHFE/odMhzTBaAbc+69jVm/3zwp/B/Ou2c +Ue48ik5x2n+kv9oAvi/HOT8LbCw2bVUP0J8GPhy8Hed5EP0RwTmmXDuI/8PI +7bGpjH5N5F7oD0j8N7WQXwObmG9dxaRic2pi3+ehAbF7hnqHesDX8Buz/psn +2K8qck9oUknHUC/FT3Bu7EGeHnxH3VU9ZVvWMavYvYD/iexVGvmUMOgB9D8K +th2HzgzFOvhi/NVA/zC+CoLvqh6zCn8X8bEJOcP5OqE7NXYtqs6e88COYVM7 +ZR/ydRybXWn3RPXGzVnHvtZO4LtZcK7rTDrbP8j9Mr7j3/BNWbuedo9RrxkV +/BblwUfCH8r3WZWzyt0YapTrmr+VvRpi/6f2glqqNuk90u5J6k0/5Dt2FIOK +xQXY1FctUs1GvwrUMNc1uHJwzih35KNbcM9X79cZeyM3j22rHqleqZz5P3dY +aw2+PLiWD4ZmxO4Z6h0n2X+I+n1iXj1UvbQz8o6Ua7Zqd53g3jdJPQ9+XWxe +OahcfCF2LZHNW+gfR6cN77mSO20C/yP4r9XzLwTnsHK5vGaO2DOKZhXNPMN1 +l2Bb/clN9avgXjKbPeeDn0R+FuwQ92seXJNUmypoHgH/N7GuasA28PuDY085 +qlztkzg3qqnfxs5p5bZ6wl74NejXyTgn14JfDv573elK8Myk2Uk6a5FXBc8C +mlk0u3RPnIuVkNshd4w9KymGFcsvI+dlXAM6B88Emg3UA4codrK+m3qSepN6 +hHqFarxqfbXgWUs+5OtScG1TjSiGn4DO7yn3nPGJZzrNduuwKdT/4W9Z2jOZ +ZjPVANUC9TD1srGxc1c+xiHfHjuWNeNp1lMPVS9Vzh2Fvyt4VlLMVoJ/Jfbd +NbN2Q39u8F+rh6mXTUk8q6nGqdZVDI5N9fA74TvE/ps9UG90xwTnvv5cf98x +ce5rZnoe3fXcZ3naPUy9TD1fvV93LBM8M2h2kE5Z1bPEvlUzX8V+S9ZvoxxW +Ls8LjiXlpHLzP2mWqBY= + "]]}]}, + {RGBColor[0.3723175625, 0.40476015, 0.42477252499999996`], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmgmYltV1x9/vm5lvfV9QBGTXAQVBo0hAdmWZkU0GWRUYwAEUbRtTo4Sm +dUei7ROXYKqiuCVtIogxrVFkx7hb05rUNE9i0qdREVBZRFEQNf3/OP95yPPM +ee797nuXc88995z/OXfqF35z2pX5JEler0kS/SV1uSTpJtqp+nY1bBPtVIfP +9Psy0cWijmp7X23t1K9SmyS789Gfce+7/kgpSbr62yK1f1ttl4uWJFFfKlok ++pboKs9N2zWixaKr/e2wx8wWXervfOurOXdp7uNVfqOqOVXPV8ST+aV9ufqt +FH1fdLtotegB0Z2ih0QPim7297tEd7iNftdrroHi/8FM86g+SPWHVS+mSTKr +TrJKY2+7vN9ztO6Xqu/JxX5uFN3gPdzk3zPrgp9bkIX6Xiw6Nxff7zJf2/W7 +UfSF6l8XnSI6VfRf6jtFtEX110SbRJtF/6t1Z4m3N/TtRP3u7f4dXTK+k6iP +v70q2ujxT1gOD4t+6vIR0TrLgW9rLTNkMl/8zxM9qvrjbqNfZ9FpXgP92aWy +l6irqB9nJaq4H7xINY7yCo9lt/Fbx5h0cb/U4/n9b5L7yEKSPKfGGdrvhdrv +j7XfrlprK3qbi359zccQ11n7fPd5W/UdnlPTHR3zjsoOoj2a91PN11CJc7rT +urDUZ7Xcerfc+vJZMUlOEg8fcd6iD0X71F6vOfdzDiqr2swmlS+U42wftjx/ +oO8HxE+eO6Y9jUKmah+vcoHKqcihNuZlzga1z1d5oejjJO7GLFF/fW9ROV30 +pWh/EveJ8WNEY0X71GeS1jqgejeVB0Udte6l6JLqo1Sf5r4NosNptN9UifVG +e64X9XulxqzPYj36NoqeV/vtav+Z2r+ZhVz+VmWuTZJcq0P+cxb2YGJN3JH7 +9Lu92lepPKS1mtR+o+9Zk/k5mMQ9v0h0gfrt5Y6oz9dysR/2Ul8TdfYCHzOS +Y3xRsqen9G2I6CPVmyTnM3NxLoxjLsaenIuzo07/Dyzzy/KhD2NzYWs4c+7o +7jT6DBM/U+tCN7BlebVP0++vqnHn0Z3bLddpPpNnRWt8n/pr3s6iQ6oPQHdF +n6Nrks06ybBe9ILaxovaiHaI/3dFP6wJndtvORwphx2ZLzk9IJ76a/wW1T8U +P5+ofYzaUuvpAZ/lVOvS93yXblOftcWwEwNEJ9fG2NFad7HKj12/WOufpbKT +6BX125CEHfnKe3tJ9LLrfHs+F3ePezdY5Tj2ovpezkn1yehXJdaC3+Xiu1b8 +36zyvULs+Ufib4n69Gbf6jPSMjmisfPU3l3tp2Rxl1lL2zgqL/rMVX2ibemc +JPwIdXwQMjlUDLns8jrIdqXO77f69h3J9UX1nWQ7PFTlBaIXrRtjfXbXaez1 +omX5kOWP/a2xEvqDXVlViHngB31ssk6+UxP7xV8x/xTRny2ryaL3VG+biz3M +Me8Tzc9tmvMfC+HzqN8qugKZFOM37cv8jfZpKqeKNubCb9bZvze5/RPVe6pt +eiHOd1Yh6rQ3qmwQLdJ8vxKv00TdVb8DvVD7B+pzHnZMtDAffceK2muecwvR +Z10uyjGu9y1FnTlYH/6wL8flQhbo1BS1XWieu+bjN/f3p1msc1hndIXa/kr0 +Zi7uywTrxt5cyARf3OB29A0b0OR9MV+T5+xejLmYZ4bKbvmQQ8+aWJs+g30m ++JC6UthSbCr+JLVPObEY88LzLDW8q98Xqby5EnYV+4pvwxfi6/BR+KrBSfgt +ynOSuBOX+t49Uw1csV5lKRf3h72wN9qXJeF3GTcoCZ8/MAnscF8lZP1UFr5/ +kL+xzvm24Serz62yXU1pzNFoOzoKGaEjnruPeWSO3v4N/gBDgB3AE+v8e6Hm +axE9aVuAzQMv3K419qn9jjRsx+MeUwA3qjzb/J3qNUbbVk35Cxkhs73lwE49 +NM9QYz8w4Cne9wDz2WAbPNDlGH8f47kHuGSvTfYXM1Wv9Xlz1pNdx3ahJ6t1 +vpeLbqiEz8KPYcMH5eK+lj0PfmRdFv4RPwnGKfvs7ymEjcKerajEnfpc83xX +9emqH1H9VM+JX8BXjLHNmeI7gi36b5XX+o5jh7BHyAW+uK/4U+YZaD+yAD+h +Pu9o/iK+j7srGiHGDkpP5oku1x6XFIPH+wthv85T33s19gR9vyeLNa/zuh1y +oad7ktDZUa7TB/7At91qYyw4AP74RvvTxbAb2ARwMvgFfIO/xe+CucB8YL/O +WegSvgc/sxV9VXtHsGEa+Liv5Hef2u4VLdHvV9OwLb2z8EuMe8l6t9G6uc66 +y++htsHYn2XlsHebNOdm0a9V36LyX9T+rupXZzHmVfPEHK/5Nzj9Nd+PIdaJ +mbY/1VxgG/Aa7WA58EjFdTAT2KlGCrdd/A8X/0+q7ZU07OEzWcRiaS5iotfU +PlPtfbLQHfwTuvKu2h9Ue0sWmIp1id3w4anr5+rb6zqDd7LAlhXz9oR5Z0/c +482+49wHbGC3JOzeDtfBeMR+xIMPSUZfF//bNOdJudAP9OFky2Gf7xdjsZnE +iB1qIo5Cbm9Ydu8mgc/x6UO1j+4acwJ3QvWBojW5sK/EP5w9mJF9Ekf28h4/ +tZyQ18XWLfZ5qfdKHZnXW/5gpH/OB0YHv/xcNmWp6k+p7JcLO7U7ifiS2IMY +c5HPcrHXZq0lljf8IM+ePnf8zrNZ6CS6iTwYi250TMNutksDH2Y+X3BLZgxw +qu8xWCJLIx5rm8YYxrZPA2dhr5Dxkz4/zm6t9Z178CedUa3kfn8Wuo7Or09i +T2ApYqJuxgm9fA60cxZgXLAuTq8kmqN6JY14mLi4Lo2YcF1yLEZ83OvProv4 +khh4jXlh3YNgOfHzDfHz23LER5OziDXhnTHHe7/s+7xK4NRxacRUT3i9sWqv +V/u3NXZOFrbgbfVJzSf8PmBeWL9dJWKtv1Hf39UE9nssH76o4L1397njm4hr +6yyf53KBOYnjfp0GDvleFlivrc+on+8Jd4S7UDIOucA2/Dj7c9qxwwM8lrOe +4LOm/+nWfXhgP+xrXha2YZhxVz/fP3jua92ET2x80WOxze19H3vkop11sdOL +c4Et0TV0Dt3bUA0cObwaOk07+Bm+0Rts6b/qvHZIdo/Yxn7lMz3FOozPwt/g +d+Zmoe9fWucX2gce8X4bXB9kv4UsFuTDhuAHweQT3Q7G7OH9gD/PtR95WWvd +pTEn6GxXZ2GrsdlgKur4qKVZ8AzvT/mO5+x7d9iGTrLvQibYJ/A6Mr0lC/y3 +IgusCE4mzic/xHhsL7oMNiS2vKAuYtIW0bBS+JFm24xZths/yUc8TxwLDgAP +3FKJ8d0csz9eDLwyyvrA2YG92StxEPHrhaXwteTn/jqLduKk5mLkp8CMV2ah +8+j+x7ZP2ENsKLYUG3zQ9hJ71mh9mGPbNtv2rV8ae8E3PpSFr8RnDihFnRgB +rEeuhtjoau+1NYd3qednz2BO8OjvK5HfGp5GXL3E+rbUffkNtsF2gW9uTCLX +BnZozdG05mwomeMmf2d98Af5SmKfvMq62ohxiReQDXlKcDr5CO7K27aT2Evi +fuTWmpMhjl7gs8N2cH7kcIj3LxFtrEQcsSGLXBGxBHH7fO6uaGsucj/gW/I7 +Ox3fg3XBf+jSrZWQ4zTrFbFlF98pMN3ZthHkBlpygdWJQdkb9+bzcuCgheKh +JR96gY0YnYQugYXvTMNmjnXMerSeC7tNDoNcBjaWnBh5rAfdxu9rsrDD2GNy +qDf7HPh2o2U/xTo72uNvcr/Pcsbd6LPm2S4dPUPl10TPqX6mygZRH/H8R5WD +srCx2FpyEqx7FHfm475xV9Zrvz/T2A5Z+CLyrSuSuIOcCWcDn48kkY9DHtwX +8Au5XLAIOIS8d2/nDMkRcH6cHXmnHrWRQ1rpvaJrxPBdagMXfDeL+gHJ5Nlq +3LsrK+EzyRkts/xusIz2VSLufFm8P5qFHVnumIA65w4v253X3uqcPLzxmzp+ +m1iHmIdYrTXOGeh93uV9t8ZC9GM/6CSx7bRS7KveOcL6mmO5NeYj9kKu7Iu9 +PpDFHSFHjl1sZ9tYqUbs+1w5eO7TKsM0fl+m/mfYD+KDumQRA3RFj/Af5L6y +yFmSozngs4L3lbYR8ELMvM0yYf5CNfDgpnL4eXDG3WqvUft+tRO8ca4dzGdR +7WtVbi6HDxnrPMa3ssgLXZWFDxpgvzPdOoT+cM/BCNjztrVx939iOz/ZejY/ +HzgSDAl2BoNtcbnQ9RPSwGdDeEcQP6PVvkdlmzTy64PTiHXJa4MhiHWJnVqq +YVPzzoH/h9ovEv+bs7i3tGEjtql9iNqfyAJ7c574G3iE1xbfh/G2Zaw/yrnm +kuQyU/SDUtiYDsYhi52T4Dd2i/7c74/F0wTVP1O5V9So+oFqnHV7Y4xD1Vj7 +C/cdb1mB7+Y5V0B839l75vxm+72Eco7fHR7xb+rc71k+69o07vqgNPKZE0qR +D1ij+vhSvDWA4/oZI5XTGHdOGrZoUinsUVtjD/AbPndiKWzlSq/HmO6OsYjL +T7FNxj+CI1bh9/T79xrXVI74qqhyhuhutf1INEn1Ff4+WdRLff5Pvy9wTgt5 +zLdMsBfYDXzZCvOAzXnUckMeR6pxnteXo+80271bPJY6+g8uxPd9VA3fda36 +f1qNc7iuHLKjb07lb8TPMLVty4WM2HdB5UmV0P/va9zANHJH5JDIRd1q+zbV ++TzinXGa46VSYL1OlZDP09WY+39KMf9atY9Q/WXp6vmac7XmaVQ5QX1youWl +uEvEZeDtX5ViXuYk5ge7vKXyPbXvED1WjHuF/I5LA09w5zqQJ9D3c8qBuylf +LEV9jcYPV/0l8bBL5c5S6M5g38eqyrna1935iCuHgCnVZ67ofdHuUujdhyo/ +KIXuoOMT/K7zn2rrXg48/ktwWjniDLBEo+/dVP/mbg3IwoZ0rMT3Bs9DDoAc +I3lJ4krylGC1D6sxxz+UI/5FN8Fqb6Qht7OzuK+j/d5EzIvtB//N0XyznffM +a/zEcrxFkIPjXY7cFe82YCcwFLiJM8IPL3LOl3uO/v6pFDr8msou5YgdX+ct +uBzx02hjdezt+c4BU/9OKWw+tn9EIfJmxNqjKrFOA/pgPSMn2sd8YS+4Q9wr +7hHxWV/HPujBuFK8N75CnohzQdcc1xDfYC8X2GZyp8H+rbl9+pDjIiYAG/GN +vPtt/kZ+jPcX4gSwMPcfbI+NJM7YY/uD7cEWrXZeiphnYTXG8obTxXEOviZv +TMpv/Ce+BB+3rRx++q0ssClyb419iP9acyPgPDAesc4UxzsbyhEb/C6Ls0Oe +rHHQthj7DUYBqwyrxtqLHXchh2udV/xDGvN/pvmuLoXvx6fut83H9re+PaM3 +xBNvOK/zue0/fqBnMe4071zw2s02GVvZZHtYks/+J/V5Vr9/Y5uD7eEbtpM5 +wGv0gQdk0cO+hrzKyfZ3+Puu1gcww1bjpXybsEXYpC8kl7/TPEeysBPwi9/e +r99XqX1fFpjlJOMW7gHtYMbJxcjX7bdfPMm+st5xDz4Zv0MeAX0GX11TOoYl +WXeSY0V4Jr44mEWfT7KI83o41jvB8xDLg0mnlwLD/X057vT71YgHzjYPf8ii +z/Zy5J962lYQs1LHPmf2YfivPxpv35pFjIIdwdZ1cR/uxQfGKmCWGcZD4CPy +Z+QxwWzk3HrZ/nAuZ1huvG2SYz6cC2pW/VAuCDuKH8Y2nO79kufrZ7mVPA/n +u7sQd5l3O+RzumUyuBCYByzIGyLxNvexo3lDH35ZjrMCGw60r+feHcX35p+9 +1Ns2gu8ec3wOL/CEzmKfWG+3+RzsdTdl4ft4M0cOZ1mG2NozPedW9TlbvK1W +nwWFiJnBFM2FaMfHYL/7W4ZdjEU5ow4+X3j+ueY5Xf3vr8Q59vcZjStEO7b1 +6Sx8Rbss5IR80aOq+UEHOplPdIN80lD3wa4MKxzTu6HeL3bmHNsaykHeO7Fy +v1LYJvqOcP+RroO5Bzt/SzttI23rB3oeZHt8MdalP+Vw14mdu1s2/F8AuQ/e +Uvtrb7/QmLOywF7YFeJhfFqnYrxdD/EZsRZ2mLcc4q5u9mnEgI9nsZ+t9vWM +3ZILe7PcNufULHww+fgrPA/vQcRGvR2jgX94CyQWWmUbAV+Mp47+bcwib0/+ +Hn/C2y1vluTBeMvkHpMPAx+REyMfRf4LfIq/IWdHbmqx6/gp8jzMw3sYuUly +lEX32e7+tIOlwFGNbifHMt/xCr7mrTR+f1qOd6oXzMNE88A87KOn94XvXWH/ +y3lxfq3nT52z6+R8JW8a7Yrh+4m7KPn9RC7ehEcbEyzK4v2Cd4wRlYjz33de +iDzNMmMdMM++amBZ8NEn1djTYu9rr+tX2L/0svwbvC48MC/zj6zEuXF+vA2j +X+TV0DHeqc5zjnGKz5c+p2URfxGHsdcRvj+cJedBXunELPTvaEyWizmx8/jb +Zp/XM2nc07fKkbf7wGv3MCba59if8yMX36L5LjEeRdfJAWHr/l1rnaazuLcS +92WB7ww2Y6DtBnuhD/cbDI3+gknIuyxwbopyvuvcI+4QdgLbxv8HYDfIf840 +buSu0G9Lqy0phN2jL/IhR4rfmeX6PPPP/AeywBMfZ2G70An0gfNpcJ3cwDjX +W/WmFUOOs84gi0u8LnaI/13AFrHuDPPP9xavy9yNnpOYkzd53vJnuj988pbV +Yjmzz9meh3KO9zvPssIuEcfgn/DHvKPynsr7Kf9nQjs+i7Pa4fOibZf78412 +8oC8vzKeOJT3zMv9JvtDjydvtsp9mL9Dm/ify45t4izm+swussw5N+Z+z+sS +67xnflh/p3kgD9fsffH/RHN8vshtnmXL3M2WSS/vv7PPfK77NLvOPOQI4Bue +29kfoe87vXe+EZvwm77n+q7hd77MIjb4Kot7vMj3ujkLLE2Os/X/F3kHIl4i +bhpr+4Gtf9M6vtp6jsyQHbLlXQIcjwyxnc22w7TxDYy+yr+xu+Ba4gne8onn +Jxm3YJ9Xuc9w54v5fzHO7V7P/4ty+ATyZPB+b+HY/zTdY37A1vjVtVl8v89j +4Wmv7Rhy2GtZcD7b7KeId0rG30udh+CsL8lCBuQa8Y3r7B8nOMYlNtlSDjtN +bow8Qova3qxE/mOt3x7GO7ZmfvIFl6g8XA2b2tN2dZJj31H61isLG8qbDLb9 +mWLYT/jeYxvePYv2buTJRetV75HFfPX2L+R3NxTjLYT7ut7+YmM5cAf5P2R1 +j+V5sBz+Cz/WM4uxW8uBMzkr9JA7DWbADnSoRIx8NFYuBS5txaiMQVYv+K2c +N/MWtzNPs3MA/CYOwC+25oBaLP9DPlPiJ3QQveT8ny+HjeF/RftlcY59szif +wx7//zKiPm4= + "]], PolygonBox[CompressedData[" +1:eJwtl2m0lVMYx/c5997OOe85O9KAJl0ZiyYydGtl6EplaF0UmnStZZ4yZ1mG +BmEpEprD8kEqc2lym6QsGgyFMiyUNNB8u5Lw+/vfD896n2k/e+9nP9NbWnln +xR3pEMJXQDGwIxtC+1wIPfnOzIRwLvg5QD/o/sBfMYReRSE8CP43+AFkAzFw +Mrxu0F2A48GvQP49eDXfMnQOpkIYAD4U/Bs22oDOWPCx+RCmp817HvxC1ryY +ts1q5I8lIVyG7pnIJyO7AHo/shbQ90JfiU4HoBe2xwHl8BqhPxidP+FfVghh +VEkIh6F7sPYH6KfqhPAAdGf2exLeleiXYu9ZZFflfGfd9QVgKfgCzt6bNSdi ++3H0L0d/MzAFeg1rBiFbiq9Oh34JqM+6ptjbj+5q5P2RL0HeGtnF2EsDI9Ap +hfcb37bQF/N9A/pjvkuAbuy5k/doE217EXTkvB9jrzv25sFrgawTe+zgLs04 +z63Re2rv3tiYj90x6O8q8R2fAV+S89sch04NuqvgXYu9dvAmQ08B2md9Zp19 +G3g71vTgO4M9l8MrR9YKeiK6NdA9i3zn8dFv8Xtt7OhN6qPzHOfbCVyCfCPy +avRLkI2AvguoQXcP8h3YOi3aV1Xct8B997K+MWd9B95c1j4I9C72nUaj/z76 +p2JrDOuXo3soOjabo3MAOgXch+xL9myF/kLoL8A7oDMVvFHdEF4B36YzsnYd +vMHBMblesQbv3qzPrLPfE/32isHzkY+MvktTeCuwX4S9h+Ub5GnwTeiUcJY0 +8BP4RvRLi2ptgj+NzT7IfoQ3DXwXvCHIEnj1dBZ8cDW2bgIqwfchvwd5Q/S/ +BW/MHhuhV+ltoP8Bhmado8rVTdGy3fhzNfYbYLNQbJ3DyHrC+xx8VsYx+SvQ +Bl53vtMzPrPOLp/L9x+ypi/v/zznWah4Q+9s+DUp14h96Dcptk8bcraT0Kmo +4xxahl5j2ZAMH28CbkfeDP0/lI+snQ50Qr6FNQHZB9G51wT5HNUexSIwHJ2R +QCrnnFIuiae7dM651uhO7VnzQto1pQP4ycBV2FvIeT7KOfe21N5VOSify/cN +wCegu4w3PQ/9OcgbR+fM/7kDfSf0nLzfWjE2G7wTcBa+vx/6XPCm2F+kmsp1 +tgfHmGJNb7w7OkYVqxXQi9HtktgXeXh3ROfe1traoBxsAl3FtyW2tgKXorO3 +yHdsmNhn8l2Z1kCvAMalndOLkDWVT7F1ATofcbcsZ5yVMq+ZbEGXk1uDMLUH +PAe8iXwu8uOQJ6oXyMchz4E3j5apJqg21KDfA/l1yA+ApxP7QjVXtXcl51+H +vVugO7K2LO9a/Aj0BuQBqGD9A6D/IluE/vyMY6QaWwNYMwHdG1nTH7xOwWfp +w5oM+JHA29ADoeuBdwP2oTsF+qKCbcq2esKZ0M2wvxjfdIX3O3AqNhdnXBNV +G1WDVIvEaxWd48p1nel46Dz0q8E+KYBfA69ryme8VrWh4LONVH8tuBdmc+4t +6omf8f0061zYDAxjTbFo9liauKaptrWGNxvZpMS4eoB6QQOgssR3rg8+BJ0/ +M85x5fofnP985AN1P90FnaOKvMfw6BhQLKiGTkD/Q842g3OVwTsG+ULoN6DP +gT5abx2d+8rpeeBHFOxr+aAueF/VR/Zfi04X6LXAYHTPwP407M+I7s1nwZsZ +tci1STUzVdc9QL1Ad7gbeWX0W09F/3rwV4BfNV8AT2Dvb+50aYlr9iHwgdG1 +cjL6g8BTBfteMZUGn68cSLsGLABfnnMtUE07Bfpg3rErm3+BbwcGBPtwB/h4 +9jwl65qg2qAeqF5YjL9/Ad+Vt6+VQ7vB9+edS8qJavBnomN/g3KZ+w6Ovpty +4jrtz3kq097jPehR0bPVScCN2H87+m2k85bup3oC3Vn9GfkIoKLIPW5adK1d +lXWtUM09VjNaHb9xFXvNA57OumardrdVzcv4zfR2VYl7p2qyanNp9OyhmqDa +oFq0OuvappqkXFqb9eyinGoU/daKoQU59yz1Lu2Z5f6Lo2NDNUq1alK0LzXz +PZp4Flqv2pjyTPS1ejt2DgXzhH8BrzJl3v3Rs9wB7JWzfmr07KiZbRh0w+hZ +QjmgXKiKnn0UEwsS1+o1WdcC1WzloHJRPXdv9Myq2fUIbG5J3LPVuxXzfaJn +Cs0Wmgk1G87Ne/ZUT5iX9wynWU4+bof+d9G1XzOBZoNRiWO7I/ZflTzn3qeZ +WrP1UnR/Am7G/k3Az1nHkmJKvA3Rs59mYM3CK6J7wWvQr+v+unNwzWgEviJr +m7IlH76D/ui0Y+Rd8H7RuaSaptq2MjrWlBMPcbaJ0b1SM6Bmwe8S57722Ah+ +QvRsqhmwZfSskMl5VtfM8GZ0bdGes8Bfjr67Yngk67slfkvl/H3RPUK9QjPR +Tvkmujerh6mXdS/430A1/7zE/zLba2dX/dPIB/JFF/BPWDszMa4cUi7dFt17 +NVOXIbshce5pBn0CWXnBvUQznWa7/wCmOcCd + "]]}]}, + {RGBColor[0.4261152375, 0.45590017000000005`, 0.470918195], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFWGlwldUZ/pLcm+/77ndvkLqgttVqhZa1lUVA2TPgVKeyxQIJGkggQFCg +fwJJABnHodYmQCAsAoGCoGyyI1BG+0eLrdNpOxYJguAyRQSrdsMqUPo88zwZ +f5z7nnO+s7zr877n3lUxe8ys/CAIsvgpAN0H2g9tFvpbwiC4ismXMe6dLzob +8/dmguBd9D/IBkG7wiAYlg6C7RgvT4LgnVQQNIG+ktKaPWh9TZ/A3g/wbTDO +fB/06zztm4n5nqA70Z5EfxPuHYEzd+Srsc/v93rMczZjzUNp7XkB/UfQ34X+ +0igIyjA+hbP3Ynw4pfuPZsXTPNx7KRHPF0Hvzkjm0ej3wL7uaPdh3BFynQM9 +gXOqcOZ6tN9iPBDfB6DNy9e4AvPFoGvRvod2Deu/jzP3oz8GZ9bgznd4BloD +2km0U4HkJg+U6YtEMn4OWu011VjTmBLP1N0U3FmJthx83ZWRbKOwPsxJxuVx +EPTKlw5oO+qF+uHcXHx/MSVe5ieSl3LTznut8/75mufeg6Al2PsA6G/QxqM/ +GPQZ0EK0qeAvzGq+ELQ32lj0ryfSw+UC6WIs+L1iWc6j3wzeazHfgLWT0F7P +13f6AX1gIva/QV2C9gWvZTinFK2bz+Ea0qs+cxV0P9X6fw1tIs4cBvp1In/4 +CrQT7lyHs1qxvn1W996QFY/32Wb8vt5rinHXnfTJPPHH9cNBH8V8CVoK42uJ +9v46kU0nFEgnt+DcKfh+c1Z2IA+Mm4KM/KUr5v+QrzUPgWaz4jkBrUjEx2TQ +5lB8Ud7/JLLjv62bSsg7gmcn8o/2sP80zLVE+l6IuUvY/z76w+ET1zFfF0m+ +TzB/FvP/w/hapH3lOc0/DvpzrD+EuXq0OejfhnYQ/YHgrxk8jMOaypzOr8hJ +F5Sfsl/AuBprf5yRnVfY1lcxdyVSDOUXBcFC0ALQETj7APqL0CKcE6Ltxvpz +GI+MNV6Ie6rQTmN+A+ZnoLXirvWY+xDtEOZT4G0c1qZBh2Lf7yPpdiD6xyP5 +A/2S/hlgzWDMvxnJpn9EvxT9j8D7FawZiTVXQd+OxB95+xTjYsz/HfQy2sPo +fwn6M+x5C0du4Bnofwx+JoD+A98exJp/JtLl25Zxu/GLNl2KtUtCxUc3rBuN ++U9j4Skx8wjoaIwL0BZHwiHagVjUB3P/Qv+naJ3JD75dwtzpSDIPM073MVbv +MnYzrveE2teIcz4H/Qztz6Ewtadxda39gueeiaQv6uot+q3n19ie9MNB+H45 +Eg7yrOmR1r4XyR60xRDQLyP5bmPqm5xATKo1LhGvehmLOiY6+2Ism9OvGJPP +gr6CdowxDvpVW/yHWsc1xAZixPQ85YHSULF8Cjqdh3seSJQjjtCfMD8Md/w3 +kmzd0O+K1h3xfBLjXrGwe5/v3YCzvl2kdQ2w9S8i6XQoWl2sXHg8J589HMlv +ec9h37U50VwxeDmRUW79K+irmH8a84MT+SOxrwXf3sRZw9F/CWtaQvk9fb4s +LVymrclbRUo6Ycx3SMlfthRoL7GVOY25jTrZHWkv8byb8x3nGW+MQ+Yp8kc+ +e2aEc92NR+SxR/gNbnJ/GyZ38zmMxYM+n5ixEm0U+i9FmmdOGetYZ3+/5SXO +z3Yeoq/eAV3cj/5ToN9NNL8AdEpKeZeYX54W7tM/1+GclfaH7o4pxlYT+FpG +fAt1bj/72NYC2YtxWR8qNun/30m0pj7RuKfXc29vxxTHfb2e/V7mebXjgvyN +x/4V4HUcaGVaOY/5hD44B21annIT6wyO0/g+F+0OrDlq/6Sf0u48Z0i+4qTW +e2lj7mXOIu3kfkUovY9y3uce2pRzK9LCLGIwc3lbfi1z/mJ+Yp5KZeT3Nb6r +S1a85WE+k5YMnOe+Z1wPMHd1sixnnYfIz/lY/sKcSX+k3umTtFVzSnZ8Lyu5 +8nH+dXxvSitP0r6/so1LE62fkMj/n3MMzHU9ybqSd1MXxMlPYvkP/ehCLP+h +HzHmFqeFj7dlVK/UJPLbZ+27H8fyAfoC8Zjns65jXqS+mO8ZB4wH+nwn4xVx +a73lp+yMx3Pun0mJf8bpxVBxyu+Ub6JlZM5kfccasNDfubfW3zhPHHrWWLQw +UZ3JevMY49pYQ92Mt35aU/If4gZz5lRjyCLsPQB6T0bxsd++TR2UWA/rjev0 +Z9af5IH5d7rxkjjP/M86gPUYfThlf2CdmHZ/i7Flt+Vo9jktzgmsW1hTXzVu +0xfoZ/Qx1l1px8XKULUR4/WxRPdvAP0bxn9hI95iHGP9YdBNieq8P2XkU1Ps +V+QlNtbVuGa9PaPanrqmnheEsj3tvjHR2T1An3d+JM+vsf7G+fVZxTjjm/mO +NRnz3MhENc5+1wDVacUJ/ZR+Tl4Yp+TlnPm5EMr29KEuzu+dnR/m2d/WGAfX +wE/zcoqpneB/ltcxn7C+2OJYC3Lqb8Oa82gVmGqKpTvqsGsi3JgcCiPo72st +O+sbYsZzsepyyv2DRDnnjP2ZGE95KAtxlrE1J1AdwnjjmG8a+jbfPqwTeC8x +uiyRf61OFFelxqL8rPwwz3mbuqPeyDf5rwU9kdJ7k2PGNPu8i43fyANryFb7 +P/2A/tArK33PNTaWOz9wfRCrDmasN6Eti/SWZC2x1Hn8qOdp+72gG0PF46Sc +YntyTnFW5Vh72G9T5gnWmG3vafJ7wjwzBy6IhKm3xqq/WfPV4IwXI9UxU53j +iJl5RVofFAlXVrouqg1VMw51jbwtEi8NfhezFtqK/o5Ia+vtm9Q7a96nI9Ue +B1wDs0//Yp6kL5EPnkM9ECN2Rsr1D/otznxZ7Lc7c+qqWL5ydyI9sYZhLiNt +cZ9+TH++xzmzxXqrTfS25Rv3RqyZhrYL993oeLsJtCirPNEOdFCoGGaccN2H +vu+zWD7EGpBvi05+X9Au/O9gl3ne5Fq4LpRuqMPttsFU41O1356090bzT9n5 +fwTl32dsHmJb8z8U2rvGtSj11j+R792fqN7s6JpzkbGCtqB9FttGS/32JAYu +c11An+T/AcNCxRRxepV9o8RvC/JJrHredTvrNM7TjnXeS38gLXafftLo81lP +czzT/t/g+RmuuYnhm7yea1n7rG57F+D7YOMpc8Va88Dctc512gDbq9o8DLUs +zA9877W6Tlhn357nPEEMZN5Y47va5XTXbOhzQKL8wZqC9hrg84ltxDhiFGuh +CmMdManS99LGNbYRZVpieSf4fVcGOjMjmTsg7ibmhNeP+S1cYp1vtd1KbbdH +bTvmPuZR3sk8XeW7mN+4hmdU2ddm2L5TrOdskfhJiuQDm40/xK5JoWod1hT0 +I9YcrHvLPc88X258u7VIe5/ISOeVPr+PsZs1AHMd8ynxmTl7S6RafZ1rD9qi +A3x2Viz8mwF6E9rLkew5yHaPMTcx1n7GCr8zHqsw961Y2NEF9ItI980PlePb +6nFSvi/IZ53942asnxnrHfOTjGqLR2DrjzDuHMvOT4LegrYHc2fRfhjL7j/K +6H+o8TnxlTFvOzLCOObSxzGXi4W5lHWP43l7RjmUubR9LBnI/zbPv5pR/XXM +diHmEQuIA3wjNvp/v1rLwpgqcWwzJvkmpvx8U/Dd2RqpBt8d6v8b5kbmMeYz +vs1+Gekbz33XdfPpjM6o9zmzcc6dserhUmMa7z1kzK+3Dy403q60Da75Xt7J ++i7OqubOEG+LlBfb2Q+PGo+WWBb6Oe1TbRud9P+ejAuevcDns7ZaYLmZ+/Y7 +7zD/9HM/izOSWPFUCDo2ltyv57Tm9iLpfonvnWSfP2Dfabb/9MH6N9A/HitG +2GecHPM7i/ZibUE9seZ8KpauX0jE43zzydp7n/2f9XJ/18w3YH1lrFzBtzLf +wnwf879VvhP5RuQbnu+f34GXg4nq40OJ5D5geYkLJ51jDruep6353y7zYB3W +p9AfE+u/hxGRainGKe9rtm5Zzzc59hkze4xvRdg3KdZb/IhtR9kbbW/aid/L +vYYyLvM59NElzh3EiWXGigr+7xGrzih2TiGeNNruvLfc/HAfcbXB+eKI44Wy +Njv2yT+xgLJRrv8DE2Ei1g== + "]], PolygonBox[CompressedData[" +1:eJwtl3eMVUUUxu/ue2/fnXfv26UjmgAqiqKg6CIoigiWiJFqKAsILGtDhf+k +LGCJwW5EEBQrVQG7WCCKiaKgRCPGjgpxVXqzIE3w9/m9P77MmTlnzpmZe9o9 +sXbCwPHlURR9DrJgcxpFsyui6Pd8FJ1ViKIhRea5KFoPbzB0D/B0Joq6xVG0 +BrplZRTNh26DktXILweL4V+GsnXwjzL/viyKHkYmRXYj82PwH0Pn6dD12Msz +XwD/OPi/MP8ZXVuwX8P+hUkUfYeujawtgP4HuSEhih5nHAv+BTXMn2a8ARwA +Q5nPY6wD7dnzEXsvB6dCnwHWQ18FOkB/ib2O2P8Ie12wd5A9Ofbfy3gdWBvM +a8kZ9nDe/awNZm0OYy3oy/5F3OVl9LWFv4a1xvCXM65gbZ/kmL/A+At6umNz +EroK7FkJ/QbIQVeAFdDtQB383uw9GboT2AA9AHSEboKu68DF5bZRjs3JyC8B +t8Kv4g1nxn5zvX2CbB1YxtpikFT6WzwECtD92PMQe7ui7wTotbxBVYW/4TL2 +N2PvjeApzv4Se3YEv90T0E3YX2Q+EtTAX6I7gmuD6dtY+5XxpuC9zzI/zDhM ++hivB8djYx76LsbeROwX4A0H3VlbBP9DEIJpvfH24G85V++M/SrmY/Qmeb/x +Seio5T49kTkx8RvrrfVGF0JvTmzrB/idsT2NvQvZexUy++G1Queq2D65mvkt +8FuCV1l7Ju+7psFvqTvLdiOwNPYZpuusjP3Qd5j9EfqmweuK/QzzDPz+4BJk +ZrA+hvfeDr2Z8/yKL+1i7TL4U3Rf1ncz9tY3YPyCeYxML2RHoD+FHhv85npr +neEY+oZnbLMM28cYL0VmWMY6R8LfmneMKdaS1LoeAF2h2yK7Sfdnfn2Zv31T +8GJsH7iAO0zkLpvgjy/YtwYE30U+Jh+SL72NzGTo28EFzEeztxG2bwiOCcWC +dCoHKBcox1yE/e5gZs454gd4e5HpqG/OuIE9p0E36N2g+6M3J/+X/zCvQv9U ++Augr0DHPmwXeYNHYsdEZaVjVH40CH41tuqRn498b+Y75RvgLvjngd/hTWL+ +VtYx0hd6QmJbPUAl9sYH+7h8Wz7yB+gQfNbfwCHoiqzffATy76T2PelcCV0B +hmL7fnAe9J3I/5i1D8+BPoi9vjn7qHw1kzr2tSefOhcdKuUq5aSTtF8+pHwM +trG/M2Mv5HdAb09MK8anBOfKo6XcqZx5NHHsXYNMOfpPhv8T631YW6OYYr4x +tg+uAmWpZe8FXVLnSOVK+fToonP1kVKsK2dPZl5LWHyDzKPYehsE9sbgLei5 +4P1y58DHoc9G3zjlELAFfbtZO0f5HPm9iWMpC+6JHVNtoD/QffDdr8F3sX1a +vvxNmWMhAvWxY0I6pfsZ0Alb53KH/RnnpFbMhxddixQvDalzUyV4PvY7DS26 +Vk4u+eKfnOlc6D6c72/oPYnPKh+Tr7UDP8f23U9BtfwD3KecXOazfxv7rLrD +X4l1yaenlnJ/c/BybD84AL+63D5yCHoMeJK3G8e8NeftBh6EHguaQh9W7s1a +phbZFsE5TrntFXROSRy7r+pbF1wLbw3mqSb+kTi29A30LRpK9Xob+0fxFu+x +ZxHv15q1d6GvLZonm7KtN9Zbq8dQr/Fc4ljTm89P7APyBdXUK5H9Un0B+1Yw +bkKuFn078o4pxVYWmUnljtnx7N2VOJY7l3w/Q8xPj50TlRtvKbjXUE5QblDO +Ve6VzrHwzym411ANUC2oR0c35q+BqdBfwT+ScY5Xrp/G2vnwXgfToT8uuvfR +GyxFNkqda+Qrii3VLNUu+fhw5jMTx8IMZNoUXFNVW9WzjIC3M7j2q2cZybxZ +6m+peGySuoarlqsHu7ngGqNaU8P8M/ZWITMq53xQhG7F2oTg2NCb5lgbkrMv +KbccSVy7qku+pZyt3P0G8ztUSxUDOce/atE/iWunfF6+/2biXuZucFzBPiBf +mMi8A/JlBdPqedT7DOQsX3GOV/KO4UHBNVC1TzGhO+qudci3SF0L9pRqoWqC +7qS7jYbfOLWuLshcXdKp2tkruBdUDW2UWlYx8X9scL8zg3tA9YKqaaptyknv +cL5Tg3sQ1Yx8KaYUW+rhdgf3XOq9VBPPhx4V3AOq91OOGBecM5UrFbPNU99F +NU61TjVXtVffqBK6f+LYk89tCe6p1VsrB27lrGtLOV65Xd9gGPKzs64Zqh2f +xM4xyi19Sj2keknJ1EAPAbOy7qlvD+6R1CtpbSj0KcExp1jTmzQU7Uvq+dX7 +65vq2yqmyvG9P2PnMOUuvfmAxLGimNga3Ov1CO6V1fOti11TVEv03eTz8n3F +1NfQp8NrD2blXONVU1Rb5KPZ1DVXtVcxnym4Zqp2yidD6n+BnsH/BvonGJg4 +NtWDbGP9Pwjrn2k= + "]]}]}, + {RGBColor[0.4799129124999999, 0.50704019, 0.5170638649999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNl1lsVVUUhk/tuZfec+69qNE4hck5GguKPpgoDg8O0WhbcQKqUYMpBalv +oiAtRgQr0BYtgzFRQUXeUBKlZXB4EIs+KD4obTUkDlRRUBNnRP/P9TfxYWev +s/faa6+9hn+tM+netqb5xyRJcn9NktRqbigkyYE0SWZo9Gi8oc3LNVaL3qZ5 +mkZdJUne0vczpViDhufsXHJEn6P5WPHsFN2eh5xdlvWNziwSfYXW/ywGz2Ld +OyC6U+My8XRrfieNu7j3bd/9eB7rJcneo3mzxgKdna/1V0WnWZJsSoNepff8 +o/G66KOaW/S4+ZrnaSwtxPrDOrtYZ7eLflTzY3m8hfextoN18fxRNI/o2izu +rYpnkuhtoh/RufM05og+X/MFGnNF12v+VHw31SXJT5rrpUO37u+qCT2h0X+u +1udo9Fjno9Zzk840a/1J3bNEOuwdkyS94r+qEvThUtjsV42FWv+rGDIHRZ+O +nXS2TuNS0a2+g3OT6kLOadJvpvZu1vy8ZD0georoHeLrIxhk8zv0fY/WJ2k+ +Uow7Dqbhp07f+57oByV3YxJ6dmislh43iO+Q5Gz33S1+41Ax+K/VufXyxViN +78Xbp9GvsUhyFuXxvVDz/nKS7BNvvewwO41zW8TzaBq2Q2a79H9Ca7eL/0fR +n0j+1bLTi3nE8wv4Nje/5EzX3pfiuVVzk+ZGjRHxDWp/SPObuuOT2rgXH/VK +53Ea32rvPo1Z2tug9c+yePeI5vd17w9a3y16rXi+Iu61t0bz/jR03qO9Gsn8 +SLwtWrvxmOC5tBx2PFf7RzUu0N7Yaty/x3E+1nFfyMJX32js1f4ByVolukHv +G9DeYenwsdZe1ptmy7a7xfOQ9raK59Qs8oc86i2Fbx+Q/Z5JIie2Ol9uzSP3 +btN8i3N4uubfi+EXfDSi812iG7X+rehu0U2OE/xJnLeypvs/FP8Paazjp7aa +iCNiFRt8aDtsks7r0vgeqgk+eMCjA85Z5O21TOJ9lXnAku+MJ9xz0HdNLYTf +eBe+hn5E63/L5p9L11dlj11Z+PukauQr8UMME7v9GsuTWFvi2CbGocmjpzSv +KIZfyZ2d5h/9Tpwr8EGvlJwVGg1jIs+YWSf+Gr2Gzr2OtxU++6TYeioRm2dl +4Qf8MSuN/U7zDGreZ93aTROvw8V4L/GKz9nD7+xzBqwZVxc0Z8lZcGOZ6KVj +ImeHzDdsmQzWNphn2PKReYnx6vhCYBC51+F17uat+ANfzDf2gXt95ci1beXI +p+22J7Zocp5iox3/W4cfOWAe/sNHE4tRS6Y53/DHdZVYu3JM5AAxz73E1ahf +sQ378PXpzKE0vqGfsp/xF+/osK12Wp8ar/N+3rg4DSzGjiuNM+iJz8Fe5Fxf +CR9/UQ6MnGObUy/HFyPXFhSirlE3qEXUpOY0sP834/BMfyc+97vPkhfU2rs0 +TyjGWWrZ57WBEeAD+TXoXOpxvcQX1Ipxrhf99kWPbYtMco08oy6Qg82+g34A +e000zzWViM3HSsELRnTZ3u22OTl7xPUFXSfad+T4X+bH1yPOZeJ+vHsG+oMJ +fle/dZxn/BiuCfngCXGGbQ9UAlunGGsn10Z9Zn/Q8dDgPMWuzCvtu0bTDY73 +pc6LNt8D5pArS10TycsB5ya5O2Cd+4wt84yFbT77cxo4CAa2We9lzpEhY90/ +fgt6UuOHzYPsPb5r2O9fZp1H8WaV3zhomS2Ot37XfXKqVzp8kUZeU0uoKScK +2ydnYTdqMrW41zy78qjjpwg/j69GzTuocxvywP2Nrj8XF8J3zFNNY3uwlxpH +vVjrujkzD/nHSd7dedSFuzQ358HzfSlkr3f/sNn5gRxqJLXyDvl5Vh76oFe3 +ey9s8FzJts6jFq9xjX6lEjhJfTiZGiz5C8tR4/Hny5XoZ+kVyNFTsugpp5YD +48A6cvhdyT1B66/5Hvw5WuvWuS6OVOLt1B/6XPpPYrkzi7zbUIlek7e15ZFX +3Ele19sXxDL4BE6BaXOzsGlWjVggJog73jGlNvIIm2Lb79z3UU+b3N9zP3mE +b8g14pOea7f7Lnpe+g0w56Y8cmJBHjWJe57OA/N4e8k2wlbEPHmCLGKmWg19 +Kpo78sAp/hsuzCI29ufRd9KjnJ5HfwRmcf6MPPqwM/PQ60brRv/Y5f6E/p2e +hLd0V8IWv5Tjna2Osa/T6NXpJZhbTVcL8Z9CnNCTcfe+LHzX5F6F3pYeFKwB +18i5rkr8B7RYPj3gHNPgOzh/rXga06hty93/tDj2tpSiXr6dRxwtdu14thx3 +XZmHDXgzdiBOh12TyT98jH/B5onG/G7jKXZo9T/BMv/XTHAd4a0z/F7qDO+H +3ppFbfsgix72fus5xXjJXcie5pgBV2a4T4MHbK13LBKTueaH/d/B/wf15JDx +Gl22+X8THL3H/duaUvQpS0qB98QTsUR9G+/+Z9B4OGjc443Uc3ALWy83Tpa8 +Tt9C/CD35HL0ySeVw6azjWnEUbNjqd39DvzYYLbtgN34Z+bNYB8+uCgLndCR +HBntV8gj8KfeWPd+Fm8f0LumZ6HbO3nceblzHFwba59226fU1XV54PPaPP4P +8f9GxdVLlejfjugtM5wj5Mo+x8h/b8jjH6ejFHXqPcfSEtv5zjxyEv/NyyJn +yJ3VlYg7bEXMEndDtgv/UsQlsn7zP+loP9LpngQMeNO+I6YOO/6xx+RR/K8N +7MBX//3fF4zXadgUe5arEVf8J5FD/Gdudw1c7Rr8Lx1CWaY= + "]], PolygonBox[CompressedData[" +1:eJwllUlsllUUhq/8t8L/3f9vo4FQjQVaQaIMreKGhRMkDNEgljIJxQiBIEW6 +U0AQUCEKBChQqA0RLUNhxbRgksmFQlmQwAJagoHIJAqoG1lI4vPmXbzJe+65 +37ln/ipnNtYu6BZCaAQRvJFCWAIpLQnhBHxiMYTfuofwM5eGF0L4hLOD6Fei +fyYLoRfywxx3wSHk08hPo2tAPgUfCOZw/zpohQ8As6PPXoCv4ZvKHiFc5I23 +eKuWsw3ofgTPo5vCWQe8k/erkbvwYcWTIVzi/l/5EIYV7MsifL+Avinz20v1 +Hrrx2FsHPwIq0Q1C/gh+E3wH34P9a9ir55t2+FDOGtDdAtvhL4K50d+8BB8M +5kXfGQJ/im/W4sti3h+H/B5Yj+4YqOK90dJj/xv0o+CN6PdGx1SG/DcYR/x5 +3q/j/vnMuXyCeDvgz3F/enQMd4h3N/I76GYTcznx9UGeEZ2z39EvTo71M97b +iHyEOxW83wxuwBcm+6qzo8h/cGdLdIyKVd/o23/Rd8e3e8jN0TVT7WRDtobx +/sv49yf6rdE5UW5mgBZ4Ozn5WraQj0bHoFh0Jt0/yNvgERt74AuxNwjbY4qO +XTkbC6/mm9putvkBvKyUvMNryFEpfBd3dgTXcHfROVfu9eYS7j+LfCi6Z9W7 +K8BJeBOYAN9RdO27+H6nbHF2H90qbC6T//jUiW9l4CS6R9irQv852Ie+P2ez +4G3cb0E+Bx5g723Oeib3sHr5uL5BXprM60EFfBk4EV1D1fJ6cm5fBTfgiRir +c465AB+JP9+W2Mc29G34XNHDM6RZak/OrXpEvfJfwbHpzmr0q/BvF/m/hs1W ++Pqie7ODOxvgkW+GR8/wfvTzM+daOSjn/Sr0H6LfzDdb0E9OzpXOpiTPuGZd +PTUdXq6ZiN4R57B1gG96ljiHymVdci1ew9++8Fcy51oxKtbeBfe6fJbvm0BX +zjVULWvAx9E9ol55DMaXeIfdzjuHyqV64NPknabdpp5bAD+TPHvy6Sf4u2Ba +9ExrtjcWnZvD2G+C9yYHl3KuSQO+jih6F2mGL8NrMu8q3blbdE+rtzXzucwz +pdnSG4t46xfO7uecI+VqkmYQ/jo2+iVD/AxnX8E3E9Mp+GnwZXKPqddk4yy6 +NeB2dE62592T6s1fkVu4uyk5lquqoXZ33rtXO1W7dWpybdXT7yfvSO1KzXg9 +fGuyLe2Eack9rF7Wzrub9w7WLr6D/AO6/sj3ont8eXKNVWvF8AW8Oe/YHoCd +yTEpNuVgInx53r6q5qp9Z+Z/kWb+Cvz75LdUc9VeM6nZVA+rl99M/hdoJs9m +7nn1vv5pddTif1K27aU= + "]]}]}, + {RGBColor[0.539107115, 0.56238831, 0.5664840724999999], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFV0lslVUY/fv6hv5T7aMYwaEtkLjAOGyEapSgwRYVExVwWrROYQMi9OmC +6kKkEKEMYgcUjDRKJ8Aw7QhEdCODboQIZdTEuGgxtjtIpHhOzyEs/nz3/f93 +v/vdc8893/emvf3+y8szQRDMLAuCctiGNAjOFYKgEXY27Cw8Xfg2NQ6Co3Ds +gl1aEQTL8HTjfSvencHE6bDH8AzmgmA+7FnMb4N9OtW73XjG8fsDxPsQzxqM +F0VB0II4Y6nm9yHOtkC23+Os35dn5DPXY8ZgrAvwWYyc2mHXwB6DXYjvP8BW +5eRHn8vItYRxC+xIPgiu4tmDWFfwnMlozh7nuQv+TySKdS/sVvj24v0mPDOR +82n4rsVaGzF+B/PnxNp7M8Yry/Sb7w/HirfXe6/PBkGTfYpZ+XNedWUQ/IF3 +o4hXXxDub2Q0d9D5lPD99Yz2cj7R+N9Q6+yxT22ieS1Y9wZiDHjdAfjMyAjP +QWNLXEvG8FKZbMlYFbHfIeS3G37DGD8F3698LjwD4v8azq2uoLjzjOsKPA8Y +n0uw/+Bcl8NvBPYbxLmC793ey2WPT2MPb8Hnb/h8FurcmmLlQ44wtzU+3058 +X4fnAMZ3Ya+r8X4Dxh14dwjrLUDOd8ba34D58yjev4f4w6nWZQ4rzQHujfu6 +PxK3yfGxUBgSS3JiWVY5NcPeyAuTnfD5Fe/aYVPMXQu/q4i/M6998l6syygO +7w7X4Vzu4UXE7ce5PId5+zC/A9+vYVydE195Z84lwvVSKOyHPZd2xDlc9Zj5 +NwKr2oI4tNCYEJu+nHhLDjxT0Dl1luk9czgY6Fuv7yz50mf/j5lPXjz5NNb+ +a2HvAJbrc7qH25HndYy3RrpLRedG/PvMsQPwqcb77+EzindNmL8D7yfl9f7L +QFwretzAe1Gh89vsO8fz/gi2NSefP1Px7zrsm1lh1G7eTnKctljf6mAvlOt8 +6UfOci6x4v5WV+hO/JVq3d9C6VllhfbINYkF90KOZzLiOTVhs3GrymqNIxiv +sm+5x63+XajUWnnYg4nw2gtMrqU664tYtxO5nkesjli5HvW94zpbvNZoVpjw +7M6at+QvMeR6XJdrrsrdxnPAZ3IiVby2UHwcN68aCtJ08nYM/tPzWod8XmcO +8x5OMwYnIo2nME+eAWK3410fxrWI05tKx6hN1CVqHn14/0qxYlZG0kD6Uwdr +CtIW3tlN5i33SLx3GPNe83OCt9ZOYtKP9erImVQaW1OhNXkveDfJeebHHL5N +db5zrWW7Uvl/57rHb6xpxyPpz9xYWCzJqR7UmVevwBZz4j/9yOuhgnKlNrdZ +q5kDNZB5PJSIS4VI66/P3a5lVY6zIVLu/yXCgWdB/jNuq3Hg+tOsy+Qcxxvh +szXV/fwi1V3lnV0Ee3cizB6npiWqRy9EwoWasMK1kZrMnMmDCR0LxDtiTZz3 +J7pfhxLlS82ifrGGV1u7+PAb42RS6dRJ2OOhODQ51vei97vfGpiNtVfumXhT +e1mXqbPUdWoHubAoFR7bQ2FCzInLiGvNZNyv+xKd11TYZ1P5zIf92vXlVp3h +OjzTorW3w/WBe++yPgxax8ivetds+pRcv3iXeKd+j4QTOU1eLohUl7sT9Riv +ZrUf9g2sj6yTo6G4wnpOblNTiPMSY8AzYy47nc9m+xCjXbHOvIt7MRePxap1 +S803asoM15NlxpR48t7y/v6MHB5LFHdxKvx5/4nvxUjYsA/6xefI8+T3UddE +9obcK+spuUztIp9ZA6hHrEN9seb0w54zRkO+i9x7ybqSsbY0WScYc6rP8Z5E ++tDpHqMnFKZzEmHJ8ULXlKL7OnK5xWf0cKz9PwL7LvfCvjbS3aFu8x6NeB5z +J34N1g72uT2u6T0+C44Pu8d7MnZv6bvD7z3WTVquxTHvHHuycffIxI3aeNJ1 +8VQkThN79jjN7r9u9Te0n4TC9byxpcbzN3W+23Vum/sp6j65y9g7jO/zkWr8 +S8Dt81Q1bovrD+sitXfcvQrXZx9KHWeede4x6FPjMc/jtHtncoX9zmz/Xxh0 +H0E+Mw/mwxrEHpe192SonoQ4E8+beekYtY3zyS1yYEoi/pBH1A5qyIlQvjet +e8RylvOc5f55oh8uKG+ux7NscM573a+cSqU7vPf7nE+3OUNdnPgdCO8hc7vB +7xmn2bwiv1r9/2SFNaTLHGaeR9x7sM/jWgdCaVWjc/spln7+GIuz87wu868x +5oxdY60m7+r9H6GqUv0Me6J8pD7pwURnOOx+rOQen7EZs/FW/uXSNOb5P32i +2m0= + "]], PolygonBox[CompressedData[" +1:eJwllFtMz2EYx18/9e/////+v5QYc25mM8NcYNgQFzllqBxyUTnMjWTLhQ0X +VGzSJB0cZtMcKmJK11bc6MCGjEK4kNMydWFjc/p891w82/c5vN/neZ/ned/U +nfszCz3nXA4Sh4xJdK4w7Nz7Ec6lgJ9EnMtFHxrpXFcUiZhvG7Yk/F8C5/aC +9yEL8G9GPx3vXAtc2eAa4svB/0LORdBbY86NBjfBdxf8EdsOzt5AHwhMhI9h +S4D/HOdfoydR3Cf45/nOFYAfw3lZtaG3ObPlgR8Sk8qF+qmxA38Yvr/ky8Nf +jH81el+C3Ul3K0aew9+LLR3fWWQUvjRsP6jvDpLE+SPcaS74LXLIM441xF5B +8onNRcrIfRtJCdkdm4ldjr8RXx6cH8Dl5NtKLe+w1YErif8FdzLSRn0HifkD +9y30LM73EzPdMw5xDSNFcJViewl+it/z7M6dcH0NbBbH0QP07qjNLoOcrcoV +2OzE+RP8LGK1peNPJn8aUuJZTRfJP58zBWGbsWbdh/4Xvgr8M8HfOZ/jWQ9W +4J/ImT347jKTCeCVgdWqmCFijyJl+F6Rr5pcg4HVqp37Bu5CBundBWI6wTPI +cTLeZlKJ/iJqvnu6P3i25oH/MBJCb4G/SruL/gD+SfjbndU0GbwFWz65T2Hb +DN6ErTHeeq7eVyCJYdsJ7cZ937jU82z4E6K2C8qp3OujNqubSCZ6Z8R2Tz3s +wDfWt95rRppVKNF2Wzul3dKOadeU8wy5l8Ssdw3wbQSPi9lbGoZjPDjbt11W +D7PAa6MWW49swF/lW2/VM/Wu3bfdUk+ayd9IjmnkyiPnn5jNULPUm10csx3Q +LuhN9hDfHdhb1Uwega8jU/ElE/NZuX2rTW/wEvFL0XcRv537DkcsRrHamV7N +ElkUZzU0wDUnZrM7z/kS4qsjNhu9Wb3dAfx1IdtB7eKqwN6q3qDe4kJsgwkW +o9hE9BOe2XYTW4utKd5qKsdX5FttijkArvFtl/TH1Pr2R+mv0o6Uovdzpsez +HXoTtRlr1uLMQL9K/JSw3Ul3Wxazt60zs9B/x+xvUMy1wHqu3quH9YHNTLPT +Dq6LWg/UC/0hLfj+A31VxfA= + "]]}]}, + {RGBColor[0.609232745, 0.62626053, 0.6225373175], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFVltvVFUUPp32nOmcOaeiYmJKfVAbaAwaSdB4pTyYaNQKFDQYXoSopTWR +qFzbCCRGioYY0sQWDIkWyi3pDJ2WP9ACSQFbEhV96XUQUAMajA/64OX7+n2G +h5m9ztprr+u31t73b9jU/G4mCIJcRRBUYv0bfyNVQfAcmHVREFzKBsEV7GXx +XcRehLUd/HHwQ9CNqejJXBC0pJK9FUv2FH7HoHMJ1jHIbMVeB85cxnc91j15 +0FgXQ344I9u0exV63qgOgmtYn4cvBdvl+e2wfRQ6e0xvrpCuom1trZYt2nwa +58+D/g6+LQN/tXW1Y30nDIL3sN6XBMFG0HVYB/Drx34hVow7Itn8KCefH8Z+ +N3yexLnPsU6ANw36DOyPZaSnKSN/+u3zwbxkPraOfsdO3bTBHNLfdtu6B2up +Uvnebh8YY22kc4yxuUo+fAH6bcT4G84/CZ9fqFK8Azh/DnSA3xqceQh73fBt +WaLYGfc26LwD/E7st0LHVezNgn4cvOuxdPfA56Owuxf8A5Dfkhc9D/uXsXcB +tp7B2eOR9LAmzdBDIDVBpozv9ZWy1RspHsr8C9kN4G8B/TrkT8O3VZBfnYi/ +LZWO9Zb5IRY2vo9la0EknFHvbIXwQPxcg57jgeJmPRj7DM+Z/jMVPv7CujwV +tqcQRwP0LYqUlxms0/itg/zSvNbNeeGl4Nx9kqjmi+BPG3S0ZhUfz01FylU1 +9nbhzKOWpW/Edi2+W0AvSMS7bp9XJMrLizh3IlKcjLGE/VHwhyAzP1I/EENj +jAGxjGOdiBXzpPuOOCH22H8D7osdzj8xNsV+A+9GLB+YO/qW4rsaen5JVZN/ +EFcFzvdFqiXzfLZK+RwHPZJRD/Ds4kS9nYWOhVnZI7Y/DIVl+nM+VR9eSMWn +Xca+M9Q3adahnFFd76qSftrpzGm/M9HMYF1ZU+aPMTDHw7ZHW8zNMfcCMbvO +GOYMIJYoW2s8sr94bqd9fQQ2DjF/iWIhTRnikvhcBX4UK17GzflFn6ax7g9V +R9as5BlInT+n6q+lsfwmPlmDrlBzg9/stWPuN67sa9LsrcP29Qmc/xX8t1LJ +8MxB8G9m9U16gfFD+T7LMPayv0nTr6J9I377PFep+4j7mdg+bJ1cj5guVimW +iUA82iafvfNAtbDaE6pGzEu2RvOcc509TT/Y16VEM5HztS0V7n9KNFc4y5g/ +YrbXvpE34JwyvhP2c08iHHyayM9ex94B+XyoOcG+nfXM2OVaE0+0Rz0bU8Vy +2DpZP9aRfjJ/fY79j1B6OZ+YR/b73IxK5G8R9Xk51j5nIfVQhjkhrolv5o14 +nHYtPshrtryfF2/G8vR3q/uOM4oyPMu1wfOq7Jgo82C1zlI389zhOU+bDbbL +M/ym7sFQfc4eXwGfB0C/Bp93h7qHsu7vM54P7Ce+CThPCsYs77uSdZC+ldMd +86zv9jXGOd8UzX5XMJetxsxe1441JF7Wer6shD9D4K9NdGezb9mznAXNvvu+ +Rs0aEfNFvxNIU5azsMv+zeExVD5Zh1HX9Pfc7RnP/UHLlEwzHt6ZnHecdeSV +LEPeOd+tnJEDli9iPRUq3iXOYy7WPcEc1uYlW7R8wTTlX0109pVY/Vvn+c9c +nLUtYna3Z9SbqfqwxjP7SuY2NorGCe+Z/b4/5u6BrGr3Uixs885hjgr24Uvk +6l7r4q9snaOuMeu7MpHOpxLlc9pY/T+eJs/ust9rP/p9yHci7wTOU87Sr3LK +6z6s+2L1VXciPB/wfOA9x7pGnqXsf/b+nXndLd/g7GexcH8ylU2++2j3Jr43 +gX8j1RznDI9qhI9h30ecxZxjfPswh5Rn3I+Zz5k9mOjeHUr0rmVNLuY0++t9 +L7DP2G/seeK6zdjuNc7Zm5xD7e5H+tLhs9/mFAtj4uxp81uCuCgYJ/SJdSn7 +3RT4XUQe4527LzOKgfVqTDR/l/v+4uw95L4ZcS/X+h3FOXkpVb+fhvzdNcLB +fKxlv5H4VqqzPPFDfQv9/p8HuS7e6Tnt11qm3jYYY4sx2OQ4KE+//wPUPrnP + + "]], PolygonBox[CompressedData[" +1:eJwllElIlWEUhr+uXvX+9/9N1CDNiApaFA0umk3dFZVl2mC0CWmwgoQmwqBa +ZFpkhJBiBBWBFaQ5QdCuaaGmQqW2UNMMpdImWtQi63k5iwPnfO+ZvjPNLS4t +OBpyzu2BYqHLvnPjYeee83gJvgK65+ytEn7QM8WX0CL4Nt5mxDl3HjwT/kHg +3PwE/GH/M+Lce3R64Z9iNgS/GJ3eGOfO8BaHPIhOd7xzZfh4B3Ya+ynkNvzt +Rp4FHYTPQz8NvhGb5hiL2YNuXKJzN8H2EjMe/jE6GWD1+EgBD0EN6OeAv4K/ +Q7xh5Fp85qC7An8j2Dfyn33gn6GEWHtbDvYFeRS+FPtJ+M7AfK1H5yH4AP66 +iHWKt99g2/BZjP9/2GwCz47yV3R/Ee8KcrlqgjyATh18H/pN8O34WIv9dfQH +wQugNPj0qPVCNnXwW/DxCF+N0HZsa/Fxw5lNDfhr5HDIavoRfxOe1V42O3yL +qdjJ6H8Cq/EtN8fbZuTv0EywW/wnhXpOBPZ31SQAe0KMaNj+pL9lYV8dtpkY +AF+KfBb5HJSA/DZif9sAnoz+iajNRiV0En4K/eE4m5mr6I8h30X+is0q5AvY +FyoWeDu5rAG/FraZSPetBqpFE7TVs56oN6n4aAEbwr4n3mZCs6GZ1ey+gMqJ +vwD5Gfxf/t8PX0KM++iOTiNGYDkr9w589OKrCp15CZazcm9QzBib6WbkXVAL +ubRC+WBzkI/Al+HjB/Zjgc2qevQGeZlvtdKOVSBnBRZLM94PNoKcCV+NTRL9 +OEY+DbHmU74TPZtdvR0H2+jZ7KlG+eCrkb/hr558x5E7IuZLPVavi3zLVX/S +3zKQS8LWU/U24tluq6fqrWqm2tUgLwQ7RH4VIavZYeUeWK+0c9q9JM96rRwO +IOd5NmvakULfZlyzrh6oF9m++e5G7Ta5pibaLGoHtYudEeuNevoBuc+z3mlG +NCu6Ibol2kntZrxnt0Y3YglYrm+7r5t0MWo1UW0m0V+J7rqo9Uozrlnf6dts +6SbpNlXhsyjWbohuiW6Mbk0uOXZp/z27XZoBzcKfwG6Deqhetvo2m5qZJt9u +mm6baj4bvjswX7oJug37A9sF1Xi6ZzkqV+2IduU/korNZA== + "]]}]}, + {RGBColor[0.679358375, 0.69013275, 0.6785905624999999], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNlktsF1UUxm/772vmP6NGTQzukACxiVFZyEMTLY0LNlZNq9Z3sC1q+kig +tRVNXGmFBndCaTHqwkQ3WqHVBBYaNLgwgkotbtRgKNRHaUETExfG75fvNLqY +3Dvnnvudc77zmFm9feD+/tqU0lk9FT0PFyl9VJ/So1ovNaQ01pjSstbJmpR6 +JX9e68la748nn+2VTibZOZ3Na92t9S+BbdN+vZ4zwhqW3h1lSkeylK7T3c+r +KdXp/bLkp0vbwd5h3duh92W9P611T6PxkbOOxZ7zVXUpnRf+Tq03Ntg+63z4 +8kKN1+lkGWc/JNvEVi7Zx/JtrdYfM/vY0pTSG3of1fuc7Nyi8yzscPdUaZ33 +85SOKY6jeqrSa6nY13W19nNPcHKb9A/o7LRwjuvOgvafluavLzgciD0cD4mX +D2RvsGoMYgWzucFyfOjR/Sntr8ody93y54j0/syMdYNszdQ7T+BzbyruXpbO +hPbvCWOX7vZWnK+v9b5VOFO5uQEXTO6di9jhYD72xD0QPq+WvX7t/8gcJ/G+ +KZwNFXML/lxwRCz/SKdH+33SWWqw3RlhLmr/euicL2x3Y27ZhDBGauw7+Sa3 +b+lsXGezhWUrOacmqT3yy9pa8f7b0uuc/JysWn6oap5qK67tttz7dmGOK6az +2p+hPiSvkY2ftOaSzUddoYf+PZJv0flLevorjuticLhDso4698RY1PNynC9G +zV9bZxx8eTL4hNcPhdsqfr4pjbMUWO9UvZ/MzFMW+f2qNOfXlI6TeH8Vxi/C ++6zOOaC+X6w1nyck+wJMvT8evc8MQP69ZKeEeQVc6X1j6fvgUNvkcCJyQa1y +hrxLa6Vi+U25+XussJ2asNWU24ebC9c2vbkzbJ4Ine7AIS+sPYE5JN3BBsdJ +zndHLqg5au+T3PGvjf6+Mjc/3dF3cAzmcw3mAh7okebwYT7qCEz8ao658WBh +P+4T3p2FuXlbHM+W7sHDuWPnPvj00XLMGfq7P/odf+k78NsaXQfUAA/1QP3v +KZyzvTGH22IWtMWcpK7gb134/0rVvN3FrM1d29R4S9TxVq0H5eu7svlyzLaF +eudsMWqRHoQ/cr2/4tonH+SC2QhfTdpvLq1DXZBPahdOmW0D0au/hQ/DMfP+ +rvcZ3NA/zI2R0jl+QL71Vdw3cHKosP6k1o7C+L/nrhViznL7x1zAZ2p2Jrh9 +pPD6BDUs/1ZJPp05/5caPcOY10djdsEfOHBITTETyQ+ziXp7qLBfa+rs96bc +/cZ8Iofocxd/xiP2muAD3p4tbfeZ0nb2h85B+dYuveu1vlo4F6OF5x34F7R/ +LXxgXo5W3Uf004WYjZvp69w5JbcHAh9O4ANeuEPNdkUfzRXun5PyZ32jc0oM +5GUy6pYZtibmGN/YzibPcnI+HjaYuew3lc4rs48cwiG4u6Je2FMz2wt/L58q +PD/aY4bQF72RC/4LwAHvu8z3rq4atzd4wx984TuEj+SSvHQWrqWR8j/b5AX7 +g1G3YPRFjSEbCjn/KPgDjxPRm9ydCf46wtaq+NYzp7uDz4HAnIj/Iu6gD59d +Ma/wZThmzZbglTu3FpZNF7ZDv3GX7wQzflt8bzfEN5oeXYo+/bl0Xr7MXFeL +Ib+9dFzkmZiILQseiXVW+vfmrgnmGd+WpZgnzDJm2r7MuV2IuPCDOQYOM3Uw +egQfW//3n7ctbJGPavQ4MXXGXL8Yc2xlds2tfOtrnVdi7Y98kqN/AerIag0= + + "]], PolygonBox[CompressedData[" +1:eJwllEtsTVEUhpd7z6179t0nDCRSI48IAwNEaJHog6lXVDTelSoSvYloTCRG +etWgU69KRCJhoqUYMCAtNRDqUTqrEJHrkVTLhJHvzxr8yb/2Wv9ae6+1zlnQ +Vt7emTOzjSABTzKzat7sIrgWzN5gNxfNBrH7sQ9Fs0cFsxL2s5LZPeyrJGgk +ZpTYW+AyiQ7j7yV+D/4HxA+Re7di0bTgnwQ34LeDa0/VmI3j3xVdmwdb8b0j +3zS+QI238HaQov2CXYf/d2rWSf7jYD7a/dFr6ewA/ErqtTrAUt0XuxbfIuy/ +6JeAYfg3znqI78F/H30Td3pNrW3B79IOWvF3g0Z4lfhz8AniF3OXlZw1ED9M +jTL8H/4+1Y/O1dOh4HfUXcvgD9qnxM8tuEba+uBvG1APybcweuxDcBBeiV77 +A/GV1M/k00za4B/Rz0D7HCyDbwY5Yudgt+A/Qs5fM82+UqMaHeJTnB3Dt0bz +JvYCmtXwvfjHcz7DffAxahaxu5jJOvxHM9dqJrOoNY837Ei8p+ptCk7nfEdW +oD8fvdfqoXr5OHgt9Vy9X5/5LqjGe+xXmddSj1/Cr3P2SfupHOhXUe9E4js3 +ja8u893VG+rheTBZ4zt8h1p9xDfnfQe1i9+D75bOfsAHgs9eGmnvYm8q+g4m +2Duj74J6uiX4N6FvQzFjiucOZ8i9FhTI/zN47zWTieA7ol1pJf4z/EXqvBb/ +FP7ZwWffD7rQnyw51xv1Vs1Usx0B3dhN0XuhGVWwl0ffDfW8SOxZ8t80n8kl +/L2ql3gP1UvdUXfVDg5iN0TPPYpmQ/RvRN+K3qS36Y66q3aoI/N/gP4F+qZG +4P8BpKaS0A== + "]]}]}, + {RGBColor[0.7494840049999999, 0.7540049699999999, 0.7346438074999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFVTtsFUcUHd7ue8+7s0NjBdEQIFAAKfjYEChj0cQFBYg0ISQhFbKxSyOB +sY2EECClNEgYKQKloQGMDbYhSsTf+UgkQYKKX8RHUAQJpHyqnONzLBejuXv3 +zp2555w7s3RX79aeWghhHCPDeF2G0JqH8ArzcDOE4xgv54VwrKZv2itgR4wD +sCcaIbyYJ3ugqZh+2Ffh/x5jFeKuOOY68k/CnmrITpm+q0x5Ju0fQo7BptYx +Z47/A1i/qB7C+xjz8d0J/4na3NnavO+gz8x144jryHTWXuTqwTgCe21TuZin +y2d7iH33wt+HsQ7jegxhAWJuRJ2H9XAvxs6cy3sNGRPmY94tyL8a8xqM/fAv +z1Una+QZ2zE+Rcziumyenfu22d/m/VkLczDn/GwOI+K81vm51+x+K2vC+6ox +ZL234X9uLq7Y/yyKk8dFCJuSYjYmxQwZ83v4/gTnPgcNTDs/a/k16ty/RJ2H +Z6H/KWL/xLgUxFXdfO1rCBeecY3rYPz+JA38VSEWuUbgGy30n3gx9+0o3O5E +cU4//18sFM9178G/sK7vKeuHa2JT3JHrO7nw/BD20ZrWkOvuhrgnPmOZ6qVO +bkXlvIn5TSVM+5N0RCx4/sNReTsq1cC9B5JweJIrbjdy/J2LU55rwjqf5ZJ5 +PsPay4jbgXlFFH4nUd+runIxD/8TT+I6nWvutw4HrNvvovA/FTVojxDXSjhQ +y6PG7d9SvLLe35KwYS3MeQQx95H/h1Kcc3/qin12zL1GH2tc6fmpeWevHcqF +05lCtZ/Fvj9FaeBnYzadz90Pne4d5qdNXbLWHbW5/mIf0+4xX6yXuovmgrpa +7V74J9PMsw0lcUcO17eoH2b1QC3cRZ498LW36D5b1pBeuZ78UyfUC/fttU5u +NbWGNudu2zP3ZV3YED/qiTm7HMPzcuYa+sldl/1lU3uwri7fUczZ7juBuHd7 +HeOnKp31FDDeihqfIGYb5rtJe5ND3mEPMtWZJ3EzWoqbVutqc4v44r/fk77/ +SMK1w/rk/1ZzSpzuu65vS2H6I+I3JOHyEebpqD79rxQXy4znhVKYZEnrx3wn +XyvFyclKehy3n3GMOY//pwtx9Y01xbrYUweSen17KQwO1qWjncg1AftzzF9i +TML+opLu6Gf/fFWJ2w/cf5PusV328/+SSjp8W0h/tMkR+4d9NFbonRm2Rjv9 +RqwyvxO+b6kjcsy17EXeTfTxnh20tmfeN9/5x/32sS8YWzqeWtjrt4EY9Pm9 +oF4YQxw5R9vr/JZRA31ey3jilXy/LrDOR1zfUddI7fGeZ/zHlfAnD48K1cc3 +5LHtwaTY3Y4nD/ymbm/6Lv26EjcH7X9XaD9iPGyNs/b/AYCsEiI= + "]], PolygonBox[CompressedData[" +1:eJwtkj1IlmEUho9+72t+7/c+LoG0qGhNgRDh71i0uH5uqRk6OaSjg2UqiOjS +KmgkiGBO/qSWIEqKaRqYSrqJBQ06FhRNXTfH4cB9fu/z3Oep7OjJdxea2T0s +wipTszhj9iE2ewpuTx2vYi3g2ZxZX5HZbWwNvy+YbdG3hv8cPIDdZeA6/iB4 +gvrvDL6kvzcxe4vfBa7AvoAXiS3D10TNCfXz+O/wT7FD/K/Bc4otkNulJ4Dv +ENsDH7PDM7h2bpjVBecQ103yV+AGYp/I9VBzQm0VNsZ+rdjvrNkbamqKfYZm +qUa1tcSmtAs1kwVmt5i5A9+vrPdKI2lVQuxngXM0wrWPXxa7RtJqGyuNfcYS +vSvYEP4F9XnqLxPfdRj7Ru5lcC31xn7pB8do4fUMcHPw3nFi9/FfBNdaN9At +JuH7Ebnm0v4hNbvgQ/IPUu9Rr250Dl81/HuR14xQP6EdzWfM5Hwn7fYIPY6Y +v5H4baSZtFsmXx77mz9TXx/8FtJE2rTB9z52DnHNEfsT+R/QX3id9b/0V/cm +/y/x22qmZrem/vci8o/Bm8FvI00+Jh5TThxPwK/oOcs4xzT4OPju+mMRuDP1 +W+oPdIAPcv4XdRPd5j/RtG8O + "]]}]}, + {RGBColor[0.8357189999999999, 0.8393799999999999, 0.8099525], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJw1UTtOw1AQHCcOxjwiekKDhFDSQmdyinADDgAH4C8OwAlMChpCDwVKScFX +Ai6QQ4ApqNhhhuJp17uzM7Pr1Z290W4LQBWvHe+mBOoM+FkABgWw1QHG8X3W +UX6RKVbOm1z5LGbX5oDvXPX9LpDNA4cRl6P/mQvD2aE5j6LXCsxxxCq+1+N9 +BAbOiX9K8kNf5Kbee9Q3FuVpO2YvS9XOIx5Yl/qn8dqRn3TFl5lz1JXH21K1 +xt7oi/ilOESvI99je6k8fxe6X4G/StqXuzf+Zv05Cb/pXd7ijvcR61K8U3P2 +C/FTl3O8D/d8TdpzktQnjnjqUI++Z6V25w14P3KSm7flP6t8b3jfrJAGffzV +C/WGniM/+8SxT82BdRn75uQcMf889Fd7V+4M35J34v/gfen3JWmePPQz8Y7X +SXdeMQ9r3LExd8/1qXP6oT7s8zFp9iHiLz/UVoM= + "]], + PolygonBox[{{2810, 413, 1308, 3017}, {2986, 1270, 209, 2467}, { + 3019, 1268, 413, 3018}, {3456, 2051, 1340, 2528}, {3453, 2049, + 783, 3312}, {3455, 2050, 783, 3311}, {2528, 1340, 1339, 3045}, { + 3016, 1308, 1307, 3015}, {3020, 414, 1270, 3021}, {3411, 1411, + 414, 3410}, {3311, 783, 2049, 3452}, {3312, 783, 2051, 3457}, { + 3045, 1339, 1411, 2527}, {3015, 1307, 1468, 2645}, {2461, 196, + 1268, 3258}, {2645, 1468, 2050, 3454}}]}]}}, {{}, {}, + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{2447, 2467, 2986, 2985, 3021, 3020, 2486, 3410, 3411, + 3122, 2527, 3045, 2528, 3456, 3457, 3312, 3453, 3451, 3452, 3311, + 3455, 3454, 2645, 3015, 3016, 3017, 2810, 2485, 3018, 3019, 2984, + 3258, 2461, 2768}]}, + "0.8260000000000001`"], + Annotation[#, 0.8260000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{2446, 2466, 3137, 3138, 2951, 2605, 3165, 3166, 3162, + 3164, 3163, 3167, 3168, 3105, 2547, 3104, 2548, 3106, 3169, 3170, + 3171, 3013, 3014, 2484, 2809, 2482, 2821, 2483, 3012, 3011, 3228, + 3227, 2754, 3520, 2720, 3284, 3384, 3385, 2830, 3383, 3382, 3283, + 2719, 2751, 2441, 3536, 2736, 3331, 2737, 3537, 2735, 3540, 2738, + 3332, 3539, 3538, 2518, 2794, 2795, 2679, 2971, 2972, 2973, 2981, + 2459, 2856}]}, + "0.767`"], + Annotation[#, 0.767, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV0L1KwnEUh/HTplkYtbU1tQglBBkFegWWYmlr0JtDLQXeQFmB7Y6NLU5B +FxHZUrkZOPQCLXkB4cfh4Tnne87v/OG/sHdaPpmIiCJayYg75KciCrhMRWQm +Iz7Qxy+25UWu8CbvcGM6YpdL+ipvcY1b/M+3fG9n6PaKm2c4x4z8QL7GX/ZW ++ZNzvC9P8zHX8S0/4kP8yZ/cGqgL6KsfzefUz+jiXb/Or2azvvXGG/qevOP9 +i/pBnUVSv8QJXuam3SZfjf8BbnCNRfN5t9q4sNPGj2wEJPwrzA== + "]]}, + "0.7080000000000001`"], + Annotation[#, 0.7080000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwNzTsvA2AUh/HD0IZqQ1haRCwGtwlDQ+0uKTVbxEzC4ANg66pWH4AoNt9A +mUgwtINEiVvCxuY3PHnO+Z/znndwbbO00RIRqyi3RRyh0BEx3B6xn4oY4Qbq +mJb3oR9Z9CKHPJYwZ6fI87zMO+mIFV7Ul3iBK1zmgtuXmMGPPwfkW+ptZMzX +vZ3ipnyC3/ST/M5p/uQvfKAnE9GNb3nNrU71k/wPv6jLHt1p8Kz+GbfqLn/d +8Yu+iaR3CZzaHUfSvVFO8Bjv2j3jE32VL3COY/219zdoRQ1X2LN/b/aAIWT9 +d4AKDs1eZf8orTN6 + "]]}, + "0.649`"], + Annotation[#, 0.649, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVzTsvgwEUBuAjMajLRnTDILGx2jC4rHztSPgB/AVKBB2o1tJIJFRrQ/wA +l4WyMLkMZhsGiYHEY3jynvOe79IztzA53xARs+RTEXsMtET0M8M0a7pdauYq +6daITlZ1ZZK2iAyDur7miGeeeONQX+XX7UjWWNcfyAo/+g37vjkvh+W7b77o +P+SI/ZFPEvdL/7/i1O3bfiwb7SfyQp5T0Je9P2S+Mdfd2v9neW1Pm+vywd5h +PjPfccu9bty/Jnj1jTE5Sk6/Kbf40m/LAr3eKfpGiUXPFFkyT5HQRY4mz5bc +ls0ZsnSzQsptx61i/gOznTpy + "]]}, + "0.5900000000000001`"], + Annotation[#, 0.5900000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV0EkuRFEYhuEjiKgWE70EhehKtwADc01NlG5iShhI9BRbMKBioN0EA7UF +W1ATpdsC8dzBm/d833/vf29O9/p2bqsqhLCDTCyEs3gIDckQCtyFz/oQctxr +dson6MSHfoF79Md8hA5U9PPcrT/kC7nOvgPndsyhUZ7lfTwnQnhCGRPeedOV +sYc2eZdbecr8le/lO/zi3e5pfsEWasyHPVfNKd/Y1qW5Vs7zWLTfPMsVeZw/ +uMTNqRA2OMZxJPAnpzmFJDblFj6yoxT9l/OkbkZ+kB9R8E+LnI/uILofXOrO +seS8HN0lMijqinyFlehe7PvS9Tn3YwDXWEWT2bfZoPMQhnGDNfzoR3gUWdzi +H3XVM3M= + "]]}, + "0.531`"], + Annotation[#, 0.531, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVz7syQ1EUBuCVRMgdCRozRkq9iCQ8QBozUjBuwUkt3iPjGTyGyxOk12E0 +oaaPGXyKb/79r7P37LPryXVvmIqIfUb5iFsOyhGH7JYiNgoRr7zQ0ZdZocoS +NbZZYJEy81RoUqREjgJ5tphljgxZZmiQIs1P0Q/JX7kp192/J7vyzuyeB4Z6 +W7a4Iq2/2bdj/UiHZ/3Tu9bkpZ7wrfe98Zx38xN5xDET/UyeMrUvkQM+/s/L +C77cM/atYf1kfiNXKxF/7xQi0w== + "]], + LineBox[{2790, 2449, 2425, 2962, 2961, 2591, 2773, 2772, 2430, + 3067, 3068, 3064, 3066, 3065, 2429, 3062, 3063, 3059, 3061, 3060, + 2428, 3057, 3058, 3054, 3056, 3055, 2427, 3052, 3053, 3049, 3051, + 3050, 2426, 3527, 2730, 3329, 2731, 3528, 2727, 3526, 2729, 3328, + 2728, 2749, 2748, 3114, 2561, 2995, 2996, 2997, 2584, 3586, 3587, + 3583, 3585, 3584, 2819, 2509, 3555, 3390, 3524, 3610}]}, + "0.47200000000000003`"], + Annotation[#, 0.47200000000000003`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV00dwTmEYhuHPBmlmlEQv0XtbIloSNmzsbSxYINFZaYnEQtkhRTDDRq8R +0iQSve2UxIyy0kmkiDKub3HP/T7P9/4n55z8f/qK3GU53UIIrXieEMLSlBBS +E0N4lhzCDPNMpMmZ3Oa8Sd/OWfJrFGKV8x/6lVwgt/B1O6nman0e70advoVb +8QI9e4VQYa9Vn2pOw1f9d3xDb/0RLkKH6xzmQ/ipv+FzL83Z6DQ3O+/g0/IZ +1MhpfFPXPSmESu4v1+rP8Vncdp2LfCnem35gvF97PexX8QD5lv4Cn8cv3WU+ +7HP1+kHmwfE57A/lIfGa+iPOr5gb+CoXc6N+hDkdCfaH87C4oy9y/g5vUazb +wZ36nVwib+ej8R3yL/0uLpVPup+NvED+rF/Im+R5vFiez1m8CNl4L7/BNp/b +Lx/APuzVHeRM3hLfKX+Rs3izfMr+cS6Qf+sL+YScx8d4D3fp87lM3mq/Mt4z +nuin6KYixXNP52l4qi9zXmu+wzVcyo/1k8yTkWx/Ik/AI32J8+r4P43//2g8 +0I+L793fTLLfwOPlh/oqrkRj/D5yBe7rx3K9vUT7dTxGvqcv52vog3K5yVmG +uTl+D8wdrpNrXodPzjfwevTT/+V/6MIf/EZ7fL74mzG/ir+f+N2Nsy4/vrf4 +7K4zMn5fdW3215rn8Ed9BufE++E1PJs/6Gfxank5j+ZRuKvvKy8xz+X/B/2V +Dw== + "]]}, + "0.41300000000000003`"], + Annotation[#, 0.41300000000000003`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVzrdOglEYgOHjaLsIB9vN2AZ7LAh2QBRrrJuJiRJANyurriaO6qpYUZy8 +EE30YXjznO/wkf80RJJdiaoQQkpf1SHM1oUwUBPCe20IJX3o1/zFsj41aL5R +2n7C/rBznCNMcojzjHCOo0xx0X6aUfMCY1zkGFe5piWtaLlytt/EZjWqVS26 +ct9WH0K7vs2d7FDZ/b73HShTebu7jLsSc1rxnT37q8zzULv2cszq0u4mt7Sh +HW0rbv/O/+/1Zy6Yb53XnSc1pQnNaFr9fi/wiOeV7/CCRcbYyyj7OM4enjHP +E+Z4ygc+qlsv3vmqN/2Yn/mkorLmY/vX/AckTETm + "]]}, + "0.35400000000000004`"], + Annotation[#, 0.35400000000000004`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{2590, 2887, 2532, 2886, 2533, 2888, 2956, 2957, 2890, + 2891, 2889, 2893, 3333, 2892, 3334, 2418, 3147, 2632, 3146, 3149, + 3148, 2475, 3466, 2665, 3314, 2666, 3467, 2664, 3239, 3240, 3236, + 3238, 3237, 2419, 2929, 2928, 2921, 2922, 2920, 2924, 3340, 2923, + 3341, 2474, 3469, 2677, 3316, 2678, 3470, 2676, 2816, 3386, 3285, + 2726, 3525, 2675, 3204, 2673, 3203, 2674, 3205, 2672, 2954, 2725, + 2953, 2724, 2789, 2588, 2770, 2530, 2838, 2529, 2769, 2839}]}, + "0.29500000000000004`"], + Annotation[#, 0.29500000000000004`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{2589, 2771, 2531, 2835, 3048, 3047, 3046, 2740, 3253, + 2743, 3144, 2630, 2989, 2990, 3145, 2631, 2993, 2994, 3574, 3575, + 3552, 3593, 2502, 2813, 2501, 3551, 3550, 3589, 3588, 2744, 3403, + 2572, 3260, 3348, 3259, 2571, 3402, 2570, 2918, 2558, 2917, 2559, + 2919, 2992, 2991, 2560, 3108, 3217, 3216, 2818, 2511, 3039, 3038, + 3246, 3245, 2884, 2883, 3315, 2671, 3202, 3036, 3037, 2815, 2510, + 3035, 3034, 3244, 3243, 2741}]}, + "0.23600000000000002`"], + Annotation[#, 0.23600000000000002`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{2508, 2831, 2832, 2722, 3241, 2721, 3242, 2470, 3107, + 2471, 2988, 2987, 3004, 3003, 2478, 3449, 2642, 3310, 2643, 3450, + 2611, 2798, 2685, 2817, 2684, 3225, 2704, 3223, 2703, 3224, 2885, + 2881, 2882, 2871, 2872, 2473, 2916, 2472, 3339, 2869, 3338, 2870, + 3043, 3044, 3042, 2955}]}, + "0.17700000000000002`"], + Annotation[#, 0.17700000000000002`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{2587, 2912, 2541, 2865, 2866, 2867, 2557, 2915, 2583, + 2788, 2556, 3477, 2683, 3318, 2682, 3476, 2797, 3380, 3379, 3281, + 3465, 3464, 2752}]}, + "0.11800000000000001`"], + Annotation[#, 0.11800000000000001`, "Tooltip"]& ], {}, {}}}], {}}, + AspectRatio->1, + Axes->True, + AxesLabel->{ + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + AxesOrigin->{0., 0.}, + DisplayFunction->Identity, + FrameLabel->{{None, None}, {None, None}}, + FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines->{None, None}, + GridLinesStyle->Directive[ + GrayLevel[0.5, 0.4]], + Method->{ + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, + PlotRange->{All, All}, + PlotRangeClipping->True, + PlotRangePadding->{{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, + Ticks->{Automatic, Automatic}], ",", + GraphicsBox[{GraphicsComplexBox[CompressedData[" +1:eJzNfXV0lTnXb3F3d3d3K2xscHdmgA7u7g5FBpfiXopTtBQoXoFCW6QtdaF2 +emqnpwUGGfSe6XN+yZd96H3f7/51u7pW1s7Jk2Qn27Kzk1QZN3vQxKxWVlYD +ClpZ/ZvyP7vqPU3/TqTC7gIOvzXT9O/DfvcXcMbP4UECDtMyBLw7o3ysgKv9 +C9rpBHwzo7hewN0zGkgScGhGfSkCnp7RoVQBa3/pDJZ4/Tp1FzDwU3/3FzDw +Awz8AAM/wMAPMPADDPwAAz/AwE+dl3QGy3n6NV4yVfFzZ/i5M/zcGX7uDD93 +hp87w8+d4efO8HNn+Lkz/Czp7tfzJPHiKfADDPwAAz/AwA8w8AMM/AADP8DA +DzDwU/kmncGSj35Nd+4WeKi/y1SdP382f/5s/vzZ/Pmz+fNn8+fP5s+fzZ8/ +mz9LufBrPnK3mBeOB2CeAj/AwA8w8AMM/AADP8DADzDwU+VaOoOlnPu1XHC3 +oDM+LxwPwDwFfoCBH2DgBxj4AQZ+gIGfKqfTicvtHz///YsS+Kmwu4CBn/q7 +v4CBH2C0Axj4AQZ+gIEfYOAHGPgBBn6AgZ8KS70E/Lic43KB8xGnOz5PgHkK +/AADP8DADzDwAwz8VL2aTpnpWeDH5TaXc1wucD7idMfxAMxT4AcY+AEGfoCB +n2onpFNmdgPw43qIy20u57hc4HzE54XjAZinwA8w8AMM/FS7J50ys4OAH9er +XA9xuc3lHJcLnM74vHA8APMU+AEGfqodl06Z2XXAj9sJXK9yPcTlNpdznG84 +nfF54XgA5inwU+3SdMrMTgV+3O7hdgLXq1wPcbnN5QDnG05nfF44HoB5Cvwy +s7uB36/tOG73cDuB61Wuh7hc43KA8w2nMz4vHI90i1Trn4NItf7fE6nWPU+R +at/5ijTjM7sAkfbIqChUpDMyKooUqZYfI1ItP16kmt5KEOmujIqTRVo1ox2D +SLV+GUUKPKzYH/J/XU6OgzYfcaJ/gJGin7z/+B39xu+A8TvwwO+A8Tvwwu+A +8Tv6j98BZ9ZvVU/HMbqLyxQPjifHg+PJ8eB4cjwA83nBfP0nPPnvHC9O55xO +eD7a5eOGcVDttgQBA0/AwIvzMceD20n/r+1wOlbtNCOzYyQdc72OfFVvxjE9 +E8fksqzv/7UeTc6kiVTDx06kKv/amfGKFak2TnGZ5mvjHi/ytXHUC1jrT4KA +tXFNFLA2L0kCds5Ik1k7KQLultFeKmvPaNE/lY5j/7/pp6rH0iz6yeeFzxtg +Xp7PM6dXrhc4X3A7W9UXcWK8MI5IUV6tP57RRwyrN4aNa4wonxld/Ro/rCvj +Mq1XHU+ul+2YnIq1GHfo6cz0OOwV/jvyb5n1OsojRT7sG/478mEHoDxS5Gvl +fSx+Rz7shszsCjvFfpK/Ix92RmZ2iNZekMXvyFftEku7BfYZ/13Nj8nUzgGM +9TjmHSnoVqWvBAt7CPQJPYDfAeN36AX8DpjL+8zsLsB8/afaZXFC/qD9zOw2 +1X8hf0d+Znio9cYJeQZ8MrMLoWf478jPbFwAoz1VPhoztTuhx/jvqn7jfOjE ++OwWSyXfIUW+Rr+PRcr5DCnyZ2VkvBAp5yukyNe+fy1SzkdIkZ8xXD+DRcr5 +BinytfGOEKlqX0aZ+xEtUtAL9zuo9qhMOd0hVfkmSaScbpCq9JDC9KfRYt2I +fOhRpKo9Hcns5ygh11V84wQMvFQ9ksTkRQqpdpBR0DlgVb/JfqCdzPoBOYXy +0Dv4HfoJMH5X8Yz7r/HIrN+AVX1vZHox835wmOt11e5xZHaLo0UKftW+c7WA +eQp+1ejdywLmKfg1o1h1PwuYp+BXrRuBFjBPwa+anRVmAfMU/Krx3xsLmKeg +I+gJLse5nOV2HE9BP6iPwzwFfaE9DvMU9Kf2R8I8Bf1BjsMuAx2AfrieQ/9g +P3K9hP7gd8gX/I728TvkmqrXk8T44Dv0A9+pclD2Q7WPpR8J5cBHaj2yn2q/ +pBxS7VhPtu73FHoRfKHyky8bZ1+hF1W99pjZd55Mr/kIvsB30GOoFzD0IvgC +30F+ol7A0IvgC3ynrjtCBQy9CD7Bd6reSRCwakeliPlT9U6ygFU7yCi+w/xg +HlV558TGne+7OzD7Xv5hfjAOGE91/ySCrcfkOkzV63EWfmluf3L/Nedv7ufF ++IAOuX2JcuAv7jfl9h3yId8xjip9OjB7y4HRl4OgH8DQT7w8xhflAYOeAKv6 +7p7FvKn2nCejX09RH+fTzPgQ+gR6CPWp/BST6bjg98zGScUz1AKPX/Otg8U4 +cTx5PzPjaz7OfJw4nhwvzvd8nvm8qesqvaBnrg9RTl0XJTI7KUHQM8qB71W9 +J+UMflf1YEKmcgbl8J0qPyztHm7HQK6CjmCXQS4iRT7a4XY2z+d2Ivg1MznD +5QqXC9we/vU+hvQvZeanUuuBnasTqUYH0J86kSLfzmxXYJxV/r7F5NE9xq+u +Yh5Axyo9e4l5AV0jRT7mCXSOFPmQ89xuBB9wOQ65rdK3lMt8Xc79JOo8SzuO +6wFud6p+BKOF3AeM/qtxHDxNYPaogflfjRb+BN4uzwes8jP8jmnmcYsz85OE +wQeAf70u/N/Xo9pvZ83z7my2c56KVMv3Fam6/pbzCxjyAXSN+VPloNFiPAGD +rrXvedycg6Brrp9V+8bfQs+hPtA3yqt6R8Ior+oVKytVvzsJOY/fVX3P/bTu +TK+5M3uBx+3cY3rGndl1Up9jnNAPrlfxu6oHfZi9IeMVuX7HuFopf9Ju5/YD +yqv4+TN8ZH3qvPgKu1PV0zIe7/8+b+4WeP/v5tXdYpw4HnydwL/ndhyPx+Lj +wPHk6wq1fOZ0Bz7jcROQa+B77r/ldjm3szOrh9vhar6R8akr428eB3tP8DfK +qXpPxpGCvqHHuL4DHSLFuKr7UJFCz8PPgfxf7+dKu0Ddt00U9gHkGGBV70i/ +tBq/ZRQwyvN55HKW24mAte9TRIrvVf2ot7AjAfN+oTz0h4aHUaSYb+gVNV7A +KOwY0AFgLs+Rj5TPJ/SKppeCLewQwJgf7pdW/YPgK5kiH/qK2+fcrkE5VV66 +WthlqjzwEvQLulTpLiZTvxj3myNfqxd+oQTRT+43435z7l9T4z2SRPrrfRpJ +F6pdnMTsWwlr/U9i+08p4nft+xRmJxvYPBiZHSTj0UA3Gr24CXsGsDZOd8x2 +0QORD7kC+uLzpqXe5vl6Iubv1+seH3O+H93O+OClkDva76/N32PfxV/AGt1g +nRko8mF3q/suocJe1cYlUYybNk/JAtbmz8DGNVHQjfZ7opgfVQ9IOYL5AYz5 +UeWVgUIyvk8V7YI/tNROzIs2HkeYX0vP/LF6pof0bF2oF/IA86H64QIE/4Pf +AGNeVD9QIpt/JzH/WrseYn61+p8zuRIl+sXtZI4nxwtyFO2qevOaSIEnflf1 +p6PoL8qDrrneBQw+UPkmQOhd0Dtg0Du+hx7Gd4DxHeaH62HAoHOkahxbKIsn +CWX6N4zJbbn/rvqt9Uw/S35R6Vkn6BdwZvWocgl8p2f2j+wHtxNUuSv7hfLc +jlD9RrLfKM/tDJWPJF6Qn9DfqnyOF/ypzdNZQT+Yd5Tj/oz/Vg5xvQ76Baza +K1L/8X0jlIMc43oQsKon4wWs6q0E0U/oMb6vouotrtcs91lUOjFY0BPvh4qn +TvRf7VeC4FPoMfA75gnyCXICfAW9os1rGPN3pFjIcdU+lHId9KHVayvmDfoX +8hX6DvwKOQC5gf7B/tG+jxV8pNJ5qhgfyH8VdhT2JOpDe7DnAatx90Zmhxgt +7By0B/8e+q2uT3yYfPVm9sVrC/tP9Z/6Wcwj5K2qdx4wv7qTqB/jz/ul2jcB +ol18h3HB79q4Bgt6wXjycySqXMN6Qcf4RvpDITf4OgPjy+tV/dTcbpH7pPgd +8kbtl0H8DjqGXoR8U+Oe4wWfqe0ms34lsXYNrF8Gi/FQ11WSv1X9ifXNUzHv +6nx5WMQBad/5CnsE/AgY9K3aG5Kf4SfE/Kh0asdgB0GnGD9Vztgx2EH0A+XV +OJUAAcMugBwAXaL/oBMet6OOzz0mjzzFeGrs8UTAGG+MH+x1wCoe3oL/kA9+ +U+2xewJftbwfm1cfZg8/F/awyt/ugk9VufBa4If60B/Uh/UO5LXqZ3ssYFWe +wX/qLdrHeAIGPmhXXbeGW/jVIcdVP4aO2cfyPBPsGsCqneAo2lPlnCOzK9yY +3e5oYbeq/Y4S9iPsMMg18AlgpCjH9+HU+Ecd09/xTH86MD1xT+hrVV5jHzOE +xWNK+aTaXXy9p/uvv4OchH2oyscEC7uEr/P5Ol4jS/jzHlNERnnEOb0Q7fEU +63vY06p8ihR6CnQL+lfj/RKF3FP3F9JZvJCB+TdlnAzfRwX/gX8hr9C+yteP +M5GLdqIe5EPeoR7Uq9r9RmZHp/3XfAUYcgjyA3wD+Qj5Bz0DvoF8RPuQv1hP +ANbwcxL1/rdyB+PB16XgC7Wfct2o+mUjWSrXhdx/i/xfr8P4Ois1E/6y9JNm +ti+W2XcYP8wv5JYqJ7wt/FfI1757I/BR+VP6eVQ/YpLFOpj778AHmAeVvqU/ +S12Hhwv5zdcVoBsVLzuRD7kKuga/Yz0BeQh5ovXHXcgTjW6eZyL33Vj8gkxV +/SLPSah6T/ortHqCRKrGCYSa+TFGpNxPoKbcf/Cf6ZD7ffm6MbN5/HX8QYIY +fzUOUa6Xfr1Pa7k+wnxh/NV1nh+TB3KdhPUF6Fddh+rFfGvteIj51uaPz/cR +lm8r7F3Yudrvz8y/I17C11zvK7Zu4vXZCTrTvtvP7OFbAoYcVOlIrtdUueco +9AXoTLUzgwSM+eDn7XicBPQX6tfat9yHwLoO/AV6Rj8wD9wPpZ7PNwoY88fj ++biflZdT43FThN3F28H3qj5OY+sBuU+FfJQD3arnJo0WfjHQC/cL4Hdup6h6 +We7XYF2qyttkZj8aLPbtkA/61+p9Iuhfm7+XbF3gyOwOBya3fMU4qOvjIFEe +fI/61HtfHJh/x1F8D/mJ78Hn6j0y98T3+B3fQ+7ie9Cpes+MJ9v3k78DP/wO +vlPjzF4LPFS87SzwVu0xT1Ee48v7CRj1q+NmZzFuKnyP4XnLYpzUfQtPts/x +2GJc1O9l3C7kCB8nrmfVeXud6T6Kyh9yP1H1i6YxPS/jgFT5Ey30gDZuEta6 +I+MH1XPRshz4Vl2/SL+3er+NtFu0bAljnw36VI0zTBJyEXiqdrbhP+ybcfkR +zubfaGFn8333zOQcUhVfy/6q6wSDkEeq/nIQ8w+65XzE1y0qncp9fs43nG5V +ucX9TnZCL6M+znf4HfVxOoe+Q35mehb8ospNKytVruF+ogh2XjCRyddEoYcx +Txhf8L0q9+W5EFWvxwu6Bh4YL9UfI/cntf4/sTjHoK4TZIp8rb/XmB8lmtln +8jydur42iHW51r/nov/qOEh/sFYe/iEJa/Qp70fS8DjL9lUSWXkJa/yYaKaP +pxZ+dsDw96rnaRNEPVo+h3XM/gY+egFr8iVB6G/MF/Q3pzv427Vy0IcBAtbq +lXF14C91P9qZ2dt3hJwE/UIfol3Mq/Z9iHncJB7gK4y/lmJ9elrAWnsXRPvQ +U+r83RL0hf4CRjlVj9ox/rUT/QWdoX/qd07sO3emb30s5AJg9Z4LGR/B4yX4 +PiW+w++Qu2p9Mi6H3+ekxtXohN4CzOUMP8/C42yRD/whv8HXGHfIc3Vd5m+x +fsN3qr/ek+lhT7Yeln756ma7AjDawbzBDgFdAtbKBYl+qHGPvuxeFl/Rvlpf +bCb7WG8YPUUx+8oST9WesuwH8OT7HDyOIbM4B63/kv+09nUW6zDAKIfvsD5T +6TeZxRemCDpV9Y5cv/F7qPh+PK9XjRPTM/snyWLdqPpfEy38/qq9JFOsC/E7 ++sP3FbkfQY1/MIqUxzHCDgNdwj6DfASszqOMI1T3FaQfSGvHshzyUU7df5Bx +d6pfTca/ad/h3IuR7Ts9YHz8QPi9NH/uQ4tyyEc5jBtPMb47Mwqm0veM/kg/ +EsohH+VUvKSfVN1XMbBxMLD1s5H5ueQ5Jswn2oHcg77RYA+hz1CvGicJP0cq +0ysOTG84CPsJsHrPpoOQP9BfgNEv1X69x/SUXE9DDvF1oHq+Sp6z5fJT+12u +j7m85PuYkMOoT7V/XS3seF4PX3fzOBDA/904Wo4b4F/LESkftPJpYn4Bq/v6 +aYJeYGcDBv58fKFXYWdBP6IcP8estevD4ki92bjL/SDoR+y7qHaetMdB78AL ++gLny9T4oni2npL3Imgp4h1tLeI0Aavj4Gmxr458wPidnxcE/fF9d+QDxu+g +Z3W9GMLineX6FvMPekL/VX+kntk9dmJe1XHyEOMCGOOC9b0aR5vK6EfKI8wr +53+MvypfnJj84Paxu4Wdq54/chffq/622EzkjTz/g/HGd6o8sYwL4Hafyv8+ +FnaZyv/+AtboJdBincLjPnncgRoXgP1geT5D9ctiX+YN29fnfllLvaTuQ8vz +sTwuBHhDPoDfoec1PGSKfNCvul+XwvZ5Dcz+k3H//N4ItRznk6RM21HXE3pB +56relvt5kH8qv3gzfpProszWSaq9CH2fxFKj6Ddg9X4ro8X48HKq31LP+FbW +A7zAF8BPnVepBzQ6cDPz6W0Wl+Qm9DHoXo1jkPeYAdbGF+uf18LvATkPWL0X +WPpB+L6Dhp+0y9R14BGG5xFzesNczl7AWvv7mT/Ikk74uKr6VcLYD9XwTRP+ +H1XfOln4DVQ95cjiXx8wf5Dcb1X9w3LfB/a09p2EsV4A/lq7pwUM/4eW/5yt +VxPYfS2WfgX1vL+M9+VxytwvpbWH/ez7Yl4xz5B30BuaPk2z8K9VN+t1lR48 +2O8BYpy19LWF3uF65tfnvOOY30Ouc1X7x0mMJ/qFetFf8BHWY9AvwBcw+Ar9 +VP3tsUKv8Ht1ME/oH2B+74m6TynLqedhpH9YbSeN6RMjy8d5nyiB13+Kc+b3 +QKn7RXIdi/FQ71WKE/pQPV8v7wNW/QZxTD9KGP1S96ciRfuqXzpcyH/1vrEk +0Q5glZ7kPbTQS2pcjewXxl+dvzRBh2r8SRyTTzoB43f1/jHZT+g1tdx/woPj +nSLKQ66iPODM8AQMPIF3ZnjyceB4Alb9evC7PhX6HjA/5wE+1ejPl61nZJyZ +6r+SdJcZXapxMZzuLOkS+ljrjx3T47ZM39gKPoO8U8+Fvxa/a58Fit8Bq+sL +B8GXaB8w2gUM+fZrO5Tf85Is7ADVvyLXw2rcgYHZu/J+C+AFuQEY8vPXcSep +jE8s4yfU+Hh5D6C6HxTH7BoZN6uem4nPdJ2L+tV4TumPAoxxwbxAr2n1nrU4 +JwB9pOIt4/dVv8hTYX+o694HLB5O3ves3rMiYTWuOo75f2KF/aDG4eoZfeiF +/aCuDxKYHpX2bXWzXQX9Dhh0AX6G/ar1h797JO8hxXfY58J3alyyntGxhPm6 +BvSsytkk5neOs/Cb8nNwKl3EZfodr5d/B1gdrwDm/3kt1o+gXzXOkcfJ65l9 +KGFeTt2PsizHz8dlRhegX00euzE57iboDvIN9ApYjd8IYuXCBKzGx2AfMpzR +Rbiw/8CfGEfIcdAZ92Or5XyYveotvgMMegadqvs8wUJPgQ9RL8ZDXf/LfR7A +0AtaPbif/Y2oR90P8hLfqXwWZ7GvBX7D7xhf/K7ql1gmXzH/cn2k3uufIOhe +Pa8k41XV+yyTBB+o9wjIe3xVepb8q8Ly3iV1vcT1ejLjV3m/E7/XFOOv7t9E +WthFqr3F7bUUds+ktIPUeBVpB4HuuB0EmNtBmC91vzJM9F8b/zDRf8QpqbC8 +VxLjrvpzkoX9qNoPMp5DPfci93mgPyFvVblwVoyX+n5PnNhPAV9o42An8AQM +PAGrfHSLnRe9xcblligPuaveX/uY8aH8Xd23iLSIt4Udotqf8Wz89EIuoX7Y +l1q+h7AX1DikJ2yd6yvoRr1HAvo0mu2X4F5pCav7i0aLdbZ63hHxKpb3yKr6 +NT4TO0PSGacr1T8OuzTF7KdIZnaijNdR/Qj+FvdvAMbv+E6V46gH8vOpGF/w +K/gO5fk9iWq8eyKznxNZucztcHU8kizscvXexXtMztwR9KHSu3w3RpWzBmYX +JrD7gBPEvGj1SH+qGl8ov1fvA04QckCla5xbcjeP520Wp4Nz0MHCn8n9XvBf +gi7VdTOPR9ALfxb0F/gL7XE/MNpR/ebcn+Yr5DjmV7U7E5nekjDmBfwJfa/l +RwsY/Kq+5yTj8VAP8jOrBzCPL4Fc4+fa1PstDEzOy3h21Z/Af5fxf+p5PwPj +dwO7r9HA7C1vC72p+m/9LPQk6BXyS41/5edmkpl/OpnFv8h4AXVcjGxckgUM +/tRSR8Gf6nqRx7nJcx2AtTSArdNA9wlsf0TCkP+wU0EvgNV4FLnPjvZU/eIo +9Av6q+7PXmN6D/2JZ/5rCat2sKeQW9weQj9UvSbj1FU9HybsZTU+9h7zb90T +6zHoD9W+eizaU/sn9QP4W40/kvuB2ndBYrw1ug0S44155jD4Uo3zDBEw6lP1 +qFzXqn5QDsv7RNT9yQSLdaQa/xso8EN9gLkdgP6rftNQMd7qPVWoP07AkGfq ++juFraNlvDz3d6p8BX//E4s4IMCq3Eti7UYKvFT/tE7ws9beWWa/OQr+VMeJ +39cWJ+wQ4A26Bwx+VO27swJGe8Bf5e94pofimR6V7xFDT8AuBAw5osYpRot5 +g15BfVzPqO1I/aTKm1gLvaHaUwY2z1KPqPqH5ycze1KmPB/jruHvLvhfy/dg +8keuB1S/vLwXRLWDE5g9KFMVv3jhZ1RhJyE/Qd/quWEj4/9U0T/Vfo8X9AQY +cgrlQD9cD/JxQznEUajxYrhnNcYCBj6gC/yuxnnIOBFt/Pm9ZTIOBDDqVeWt +u4BBf6B3yH3+Pjb6hf7y97Bume0H/M7jhNT9uhh2z4Ce2dcxLF5b3vemnkOA +30vu16t8GC9gdX88WvRb1SORTC7L9yj4Oy6Qe4h31PqXLGDsI6M8xlerR8ZJ +aqlBwFyuaHimCT+A9ruE8Z2Gj6yXt6PBKRbtop7M2skML8Aa29000+FWMY6I +v1DHNVDgp+7TRAu7Rd1fk/MH/gYMOgUM+aPOv5eA1XjCaHbPT7SQc4Bhd0C+ +gd6AF2DQPd/PVv1hMtXKyXM68BsAVuMTLMtp9cIfhzhrGWeB9RxgDS8JI/1v +v9PGwzJOAzDsPq0czoXDLuXnC+R8QQ6p4y/Pp/H5gDxT6UGem4V80ubNi8Vh ++7L5S2d0Lu+JgN0JuoV84Oe/IB9Ue1Dea67Rl5vAE/WrchnyC/sPCQLGehp8 +hvgtlX8lX8IvBFiTpzi37ybmCzD4FrDWn7siDkZLMV+If/YXsIbvawFr3wdk +co4smclJA8MjUeAN/4UKp1joAXWfJlKMJ8Yf6y+tvOwP/GbquMpxg59W7d// +/jv4fTM7l6fCmY8T+AJ6Tz0vIscJKc7NZZafGZ0B5nQFOgKMfqMe0JE27vPE +fKh2YbTQq+BP0BdglS69BB2O062rW6xaNL141PagMTSGyQM7Jj8cmT4IYOUd +WPl7TJ54Chjra8CwCzW+vi5SzI/qv/AWv6v3oMv7VrVyYUJvqP4KnbBrgIcq +L2Tcj5YfLdYXgLEOAQx9BBj7DJCDkIvquWAp15GqelPKeTWV75xo5cKY3pL3 +jav7AynM/2RgfGdg9BXE8I0Udj4/B6juT4eL/gAv6DHgodXry+LhnlrEGajt +Sr8A+odzp5CTGhwq2lff20kS8w77Dfhzvz/4EvSm8c9l0Q+Ms3pvoZRLnJ8h +J7V+yrhAjR+fsHOxcvwwPlp5b3E+F/0CjPHFfGntyHU1xjPhj7+HlqtmeY8B +36/Rvg8Rdjj8gOBXrC8Bq/7BSLFOVPk7ScAqXUaKdSl+x7oasBrPB/o0svWH +kcmfNCZv0sW4IgW+Kt6W4wf7R+uXpC/QC+x/lIccwb4i6EG9H+iZhZ2jtSPj +qkGv0BsaXvIcPeqDXNd+x3zGClibr1g23xKGXaau3+W5U9VvGyXkIWCsi+EH +Vc8XStgqf3a3b3eipB1hhrdmwO4CDobcN8O7zPwC+IaZ/wFr/rNwAX/LGLco +AVc364H7Z0YN8RLf6wUMOQEYdhFg8HmH8qUPd7wfRbb7Lnyp2fa6gHONXup5 +xs1NwL3SjhVqrfcW8POOY+tPzOEv4OKvNyz8VCecevQ0ZPAj6HruzFoZ7Qk/ +xhyNXwGjPNavX229F+9yiaI3zU6Nr3kzXMATx6yNnz47UsALRxg+9Poh4bUP +yz6+baoH4wN/yBfz7yXixg+LmBEryo/4PKjUz55xon3YG/j9TnJhiqwaLOCO +JdJcq0aGUJOWI8+Fmuof1jHv4X/tC/xe5fmoo6G9Agjt1fd8esklNEC2Z31s +wPkC9gJ+6H7g7uf+dwV8dv6cszv6eAr4XY59aZXnvqKECYPr/2vPNPm0eOGZ +7jECXr9ofKdne2JEe6MXbjoxa7ccv6TyRy9U2xNP2b6sPJGlWrSgT8CgF8Cg +F8CgF8Cgl3XmcT6b63KilWl9CjjR3N56M/z+kF+TPWHxYnxBryi/xDx/gAcX ++t0vy4xQAd8xjw/g7xe7fFuw9b6A7Ss6O2QLcRewg3n8AD+e3O1pn2lPBWy4 +FpKy75uPgN+bxxdw7pUtNs3u7ivgoydXld27y1/AFc3zC7iBeX4BDzDPL+DA +/B9e268/TYnm+SpwJX7AqJvRYv5O+DeMW/MjVsD6jFQn4OJHLr02RMSJ7z8U +bbNydkiE+H355qMPW82Q37/IvWnL7y6xgr/szPoR3/t5nR1Rs1uI4Nc9Nq+m +9v2uF/1d3im+XY+IBAGvyUgTRfm660t/m9stSfyef1LDlzNqJAu4ZAZ/JYvy +LufH7ti/M0X8fnzL4j93zzII+EwG/RhE+X4vLla+FyLpq8lV13c3bxsFPbWq +/3FZjZ9GQU+afZUm8O+g6/C5xexoge+A1Sk+VfvI8WqYwbfB1NjMv43N/AQY +/AQY8wV5ifYgXyDfwG+fzSl+F+czzDDkC+Qh5gfy5OKjDxOL1DTNX+VSGb9D +f6ryXsqXg2b6RPuX0880/LEniOkjB/H70042BWLD54rfsZ7B71dLV7oRO+kG +00eeor1DZn5T5auv+D7BzF+gP+hPzK/v8oRsO+7oRXn7DHrQsfGMF+1BvkD+ +QJ6r9CHp96P5O9AH9CV+92vTenD3mlI/Qb/idycz/oIf6r5Z+9tdNwF73c/q +E/zGW8B/nSuW92YWKR8czeOP+reZ9b/ano+Ad5v1P2Bns/5HfeU7a/MFeG7j ++XMn1bvO5GmAgDHfgDG/av2eAhZxOYq+jhf0CbtRbS9a/A77EfyWPrDs1VO9 +4sTv4pyD+XvA4Md2GfyqE997lHPL5b1Lfi/OryjtR4jyB4oULnFzTqRY7zfo ++GTyv/yD7zV+DWbyIlh8v/DZyvTpb6Q8HGffeL9T1iRBj1gfYPxbZsgfqS/x +O+STx+s8G8KskkR9nx8vrR3cO4XZe1Je+gygAr16SH2L31HfkAz7JEXU91eS ++92ve1NFfVhfoPyYDP0v9TV+R3sJGfpZ2nuVCubvW/lNGuN3oyiflqG/U5m9 +IOXx0gx9kcb0V7Tgf9AHfndcU7x55I1wAW9sZVtob5VgIe+EPW3+HjDksU0D +v/Krs8SI8rDX1faiBT3oL9tX/J/lIY/sXcLnj+pzXdhDhaoMKZh0S543LVA1 +6oHNV3chb9ILNglpEirvF23Q/e/o+Qb57uOMarcKj+0u982WjuqeM+2GfGex +/Jk915Y/lvt7HY8+S3q4Qe7XbfauuGd9oDzX/XFaRLW4LrECLv9jRVC5WvId +w7VX2x3t8OO6WG/Db3Dm0/6/m5/0oVnbYjd4bpDnXYd+zNeiQAEZ13xqcSHd +iA+W7zvmLbS/8+UVcr+v0PpdWV82kvc9NTvc5nr/yCB6VMUr8FqUPAc+9qXr +X7tuWe7/dXt/oWCl8bHCX9X7YGLahJs6ooAC027OkHH3AeVun3vsK/f7ltq3 +HzH0qPTjXvhjbOqNVHl/07VLMcuXXpFx0Mebtb++oKaTSAPHHb3cycuNSp9M +ezam53Uq96JMu7eJ3lRs4MmBh+g6XR5ePGqLab5+pC988qCzkyiH76zfnEry +iPKj+AM/Oo5f5Eap7RJDSnSNpay2Ty4lNXenarvTJrfsfJ2qpXb0pGRvym2T +tGpI7VhysTduX2SCUS/aOfH77y+Ni93o0KOB1zZH+9HOmiOPltgWRNMjPRc/ +/8ePtt6Nz12+UCxtHGC7upiJDpCPcmgX/UA7aBffoR6Xjg1WDG4TREULvltQ +6nMMPTy34PLMk2GU7Vifrz9jY+jnxG+1OrnoaWanG/vKm+QvUuQX+zxg7rOy +SbT2da6oU356umL9ovipZim05X3b9JEn9SIf5X5m33VyvnUKzYzuVqj/+0RR +Dt8hH+W2njyVZHcnka4mtygY0TuVNk3YkD+ldBrFLWoyNv2YUaTIh17aVGB5 +/glrdCJF/vkK1l5Z99wQ+g8p8jvtKbJu/XB5vz9S5C+umLah28MYGntw1dA5 +V2WKfMj5nRNira6N1IkU+e+/v9afzqejgXsHjEstnUpDK5c4UO66kWz3j+h6 +5L5BpMhv/mBr+p9zI0SKemokLN5XyqAXqXpOJ5mC2hhPexRMEqnQF3eWz1+3 +IIn0Vdp9Gd5ZRzUfxtZ7GJtCQZ0qBHSqoCP/A6ud85U1mFMdNfj0KcvPkWk0 +oOOWmj0McWQXfyr//nVp1N3P62Xl5DgKNH9Xy1wPvkM98+d41Kn5NY5y7Mt/ +v1dXo6gH9aIe1Puu57wpJ+Kkv3jH3zaj2i72oij9sCIn6TFZHX1iu3aCF4UP +ajamtf9jOrN36HrbyGcirdm9+faC5Ec35x6Ij137gq74ZL+f1saPWvVbPHh/ +zAt6UdQm7NtPX5GG5nvbZd7wMAofmzzv67oIOl0nuVhwuzBq2a/Z2a/rI8Q8 +Yd4+X3S6ffyLQaTiXqPD9Y/WvKWn3rt+xNY5GEHBLns6Vfoi76v9HvtuQpFw +JyEva1WYU/5jh9Pkeb5EyKnf3QUdnlly4MwGJ3nP5XiPQkdWbpH7vpMKDMmy +o5KMM4NcK9uvt2ODAHmvdGKzvTkWbJPnMOsMcqm4ISWVLlScev5FlDxHcFQ/ +07qyTt43XKBIidOLdxhEPchHufFWY2NKNIukbQeb26QPPUpDZwQePVcvknoe +G1LGw+Es/Xa54vaTpSOpw4/8I1/97UK73D/UHlUoknqVnWe8ke8hFeiW97ea +3yLoc2fbidkmPaF31vlfeaRH0MWLjf8+OvkZOZ2bnXVSZISp/rl1SvR9Sfbb +0532vIqg530973ZP8BXtoh9oF/1Au+gH2kU/0C76gXbRD7SLfqBd9GOP4Xud +jQdeU/iqqvNL34+gv+yvh147Fkh51h9wme8YQbbT1to+KpVKS/atWtkxMZl2 +VwwoWLxVGk0P7JTsfTqZXtbPWaHzjTRy/9R5Yey+ZDrTM8uZ+Q+T6USPaqcr +TjIKOgfd/+jROW62ic6r2gXkumOie2czXYPON3Yd+P6Ria4DPd9uzd7Wj0q2 +bHjt1dMYWmYsGztkbTT98fXIlZOeMVRs6uKJhRyiRT7KIR/lqnVJXlnwUhqF +XHvSfMVfRpEi//WrspW6mfi4k6Pftipf44QedplVaFX37vI9i+JDw3T/VJP3 +IhpeDXOOzqoTdKiea44XdB6TUmJHybu2VDA234TJ9s4UXrJ1Tr/KXmL/DPtH +LhVGWK1/6CnyUQ75KHd9We/rPcr7CX7CfsK7Kz3rTp7ySuSjHPJRDnIBcqJw +kc4xBTZE0CrD535J7eQ+lH2ln8+aXQ4xrR++li35LIWmVY8+MrxYCm1u8z70 +S10D0bmXu6bklPfnDbu+7kelSia4nm2K7TJ5jhR+/cMrE+K/v4sTKfL7jgk5 +Wrirgeaem+Y2MiiR5tRrPGJ+UyPtXeC+4v5jeZ/Ryoj6H75dTaZ7bRKCqk2Q +cQ/rcyWeXLVKvr8+bNPLxAJVZVwB8iGX3HUlZ1/IId/NPrGsdPe6g+X9RJ5d +Xq5clOWkRXzF7/nbu9c3tVsh+4LPX/X8/iLZj8T729LuPZH3fGI+VDloZeUT +P2XqFOtI0S76gX2XN8FFDo1+I993nDH4zsdW8+Q9m+e+/e7ju8xI0TZNfyvS +S97vi7R35TXl6/T2pmPllp7YFijfK/lrQ78FHn4xtLrMpQvHzsj3p1FOtH9o +ToVpA+T7I8lFOqW/t5XviKT0rN0yZJCeXnm9azzrvYEOFXlsPdMjkQZXK1gs +6y15zx6+Qz29s/7VsPhyPW111l9yeGcQcgVyBvWinafem42juuup6OgrrdKm +p1GN5Ctvi5jgbm9zrfCanUZt050DH17woxw5brR3OPpE6CnoLdAx6Hr0TpPg +jIihTjHLil/pHkFTm+f+tCA0hip8bd5qRXCEyEc55KPckC1hd9I7Gkh/pVqf +Elv0IkX+CJ8H/1zL9ZCOXfrt+Z3K8l2rbh7n/rp820uMO+ahy9Thkbm/yPMi +zsUWL9+x1fJ+IujJ7/kfl7BvYpJf1i8LXvhTT/fH1G+dY7TRnOrJp1YBqwpd +dFTibpOeVycn0fp23foFtNZR3qSsXQcUThbfoR58h3reFuvVZcp4+f6KvV/2 +1tOPu9Eib79uB47foBtjQ4pUXuNGnxP+uTmh5026N8l5/KGWblS/XddV9j3u +0MA3vXIes3aj1l+CX64w6a1HSQEP7nZ7QHMPNXu71uBKG3o/nhk5S77nsjqn +fvKfq4LIa2uHmCZn/elz18+T7y0KovI7tmzLnuc13Sm1bV6fsUFU633n6Fql +A2i/V7WcEyYG0bffa2xzjXtNA9puSnldJZC2rIhPi+0dRKcWOFkl1wyk1JzB +PVeY4GfVm0dNsk6kEdXH/BY7VEeJP5zWDBmSaE519DKs1u7ly5PJ+tabH8Oa +6qjirrNePUulUNfQ1ka7CymU/sebsmeWpdLzon0+/pFooANpv7Xd1kO+J2Nv +Z+gx7tUNStmVvdegpcep/ky/mGzZnelLt2m+J5sfEnQOuof+GPItfojjNEnX +oHPQNej8xapehapejKBSRWaPcH4ZSOV3uQy/1E7KBdhhsMsqxvnfbFBJxrmW +iG439chJV5HqrI90+aOQP4sD8yTnTf1yeB7yo8+VrP9Y2CJIpKf3HnLsnizf +m8nnEv0jV0IMDZr+YbZPYqiIEzXkaJR78SIdfdvsZbM1JJF65P4jKWcfHe3e +viXILkcKhVe6WqlGXR0dyPbnzhndU6jjjQJ9etXUie9Qjyp3ZD2oF/WgXtSD +eiEHIBcw76ADzDvoAPMOOkisaB/TdsIz+sdH/+3BevnuXL/21rE+f8h4olsf +bWrHXpdymt9XK/j6y/20btkTZGr+PcfCN6UqjtdR1u9/TA/0TqBa3Yw7K47W +kUNkhwfF7RPo96punVNsJN+Cj/Ed6lka37lKtWk6svGre3dPtgRa/THPwfyT +dNRyQny/ZZ1kvWgH9aId8CX4FHwEvgIfga/AB+CL+O5jWsw440xbGybly39t +LT1a8cYn4UEE0boqzUt3fk0zx44rPvVdDH17f95JtymYzrZzO5SYGkMLXIuP +KDsrhHLkTdlbwUe+7zOnXd5XzoleVOtC/Iaqj13pbZ+lJW4996LkqX8/sTrp +Rt9b7F26aJ4fXQnNdvF3Vy/akT5/SgM7+V5Pf9sbu7L3ke/1XKs4p6J7HW9y +fJV9Y8klDyh2Q2Hrnjv8KGHIjaPhV57SrFnPy/11Xr6POCbk2Z917eT7Ot// +mdJl2jf5niHkOOQ66AJ0ArsHdhDsSP5O2qMW5S7czZkk7EoLO8oMI27+3f5+ +E0Z2NaW9arW5tsCBujS49fb1OBOfB0+osdA0TtWnbZ6VK8mLkszjhHHLtun7 +o+kFomhPYvd5Ya9i6K9GtXtc6pdKfm59dneYr6d/umTZYG2XSlnu/1jmMVNP +rgvqTVlqsusTHjzY5t4yjdzMdv0rs53fdlu1RVEF5Ttpml3pRnNW7Z46qNNd +8n9gPTT0QARdWXCx8a4cIcIOmBUdcmlYC2lP1MkRU7ZuMZ3IRznko1xU9VP5 +iz02UF+r35cZTfYO6Bx0P+bFktBRJjo/a3OsatpEHd31eGZ9waT35jQ5/b6k +SQ+m5MgadWpnChXqvzdbahUdFZ25/o+XG7zozO4Xqe9eepDL4wblW/fwo6xX +TnvvDX1OxvA6m+sFGaj1rH7+D76kUovXp1KWBhho5eFWPu9zynubIYcr1My2 +suTJCLrWq0+hdsnSvgub0+jjP9+dLfx4x2xKBIxfKd8HxHmO8tm3XPIONM3L +mZCPkx3k+3+po5dU2u3oT4HDXvaudmQJ9U24M3zzOn+6V9Bj0o+F9rRhfYMB +K8fGUtPqM9Ym57tBTZctmRdpsiNf53kfmlbqHr13+GzfwXk+XUwa8Jen3p3K +PD3ybtHnk5S+vPmX/qPdafPJ1F4Ju2bQ2JmHlnyJ8hHtoF20g3bX14oJ7jjX +h/LWLHGzaWSQaBf9QLvoxx/LKlgfNtnxrZpsLTXQZNcXez2sbwMnA537dCJq +4Fcjnesz0Lv4GQMNu3GlRcrv8n1B+EnBJ+Ab/fLVV992k+8Hftltva1/ffle +YNPuqxzP35LvmGAdcLQE0cNQbzE/3M/N/dqqH9uVZtmsPLPvjquIcy+ydf/m +VxREM1P7pl/tIt8H/Nlq3fxsDy3f/0M+5n2Wrnq7/fXlO2v5B1y1+pBXRz4X +5+x1HCrvJ0SK/D93HO8b+0W+39erfnS/1Y+96UabCY57jtyg9dl3zux40Zty +56kYvmbITVo4rFqu7tO8qcDHkKbBk+6Qtf2G8v3ne9P7w47N2/u6kI/Hlbe9 +TXLRtfRvAREmOXl/dU6f399F0t7LY8ofCYihwoH/DD6arKeRkysea1gokfpt ++7vZFZO+21x36bncOxPp/MlFpza0SCabQoN+f184idqNfVHM9n4SLclf8FRK +xSTq8vhdResO8p24vkX7P19TTr4ThzjPA3cvZNmyPoJqFclmlyu/5Xt+/rMT +Bpz9W97/2dH30IkaezfQAH2OmXefGuih2/2wfav09N61+bq8zvJdofKON9/H +nPWiie3DrBf4uFO1g72Cajl4kdX17v2qpLuTf7kW/0wY5kcpXjvajfLzocP7 +9nx3GeBH6zs73/va5rmYd9BBrtMlT4WcdaVOxgJn76yUKfIFXZjpBHQBOonO +821IWocgqvwxm2Nht0CRIr/C4M/HXzyIESnoBHQDOuH36GOcMW4YZ4wbyge+ +3LzGyrQuwn5g/hI1N4RcletsyJ37Z+J7tjXZnysXLVkzPYt8X2/0XZ+Nz5dZ +vq+HcogPm5P3wvsnvvJ9vV6/L8sWsEhPp+0fL6030Ydu+ZzO96mmA9nfGfGs +nUnutL7u2rbd2Bn0udOieXmu+dAln+xhO1vuoltpm6em7jDQ3rOfup7+lkYH +A4+uoypelPP64LdlQzypVLdbPmUq+NHRydVyFHor39N7al7Hl1sTsGfGRvm+ +3uQxJ3fbOPhQ+p/6LtOMeygta6vdBzb7UIdh1Rpc33GYnob/Of/tRgeyKbrT ++8AId3IvMvriyZtBVLpHtoTJzq+oflLF5FLP5Pt48FPyd18h53PXzbb5hKnf +9ebvu5xowgN+TOgR+E1hT8BuX9hs2p9L88j387KPndm09nI/2ngz5h+DlTzP +eXX+1a1Df8SQ/uKTJgm15Pt5t+60fLNrrqSb531yn2n5I1HMs+tQ961VTfwb +Xf5M3twv5L33WMdjXb9sR8Hcg+JNdHdj+OFFDVPFd6jnY8DhnnttE+lq50VW +WcekUemJA7ysVydS/OGrLT3WyPfyYm7G+z3bZaRW86e1L90gjYrWDSn96rBR +yLEmVf3qRZrkWlzXwG6b+hnJMWp+76MmePe5u+3zvTJSaJuojcfex1HeIzfv +Oa0z0l+b9wTNfSLve4MdCTsBdgP0OPQ69Dj0+uZ1dfpeHZtMfZt13ZErfxL9 +WaFVR51LMr3rtMY/d9YkmjKkl9uJSwb6smTP4McfkkWK/OrzHCcZenvR7q+N +Bqzd+YRsXk6a0qaBH235MGxJJe+XAn/o9ZEfV81qeFLe77+nx/gT+o3B1H7e +4Oi1La/SsK9fQ9ruD6Y9u/ue2l7pPA1d0KxQmZqR1HJTu9Llcl6jfBPm100c +Ju/vfxCavcQfLYJpfZ+PgT33udHXuUl/hvQPpvSnZ9aNpQf0bXi2OefzRtL1 +CrH7H6a7klPIwBl9csn7/TvkDT41x6THfUzccn2qDzmVzDnPOXswXXnUuMHX +Bk9pxtLx2YulRlD4O8/cNcO8aL1t2agSLyLoos+lbDY2fpSvw9zTwXlj6fjb +zzMfPvGnv3J9+zI8WywVLvT5w9WcAQLPfZVHZAlzCKaL/fZkr791K9XLbVXq +6e1guv/n/HJN5h4g61EzW62+LMcB44JxwLig359zb63pZMJD37jWmhKJ7hQ9 +37uBvq5Jnh3pZeJ8T8pnQqt93mCBF/AEXsAT/etbPd3DqXEkFd93bfGphaup +dJmQqOxt5LhjHjDuZZyP1zlfIpJap15oufCyM3W5cLzr0wpynDHu6G/VhA73 +1nyOoLtvA2dXuuVBIQvSf4y2ihTjinGGv/BHienrv4REUMVDfdMnln1BvZO7 +xa2LluOOeYAc2L7ky7hnt+S6C+uwflbVs394GUjZZ/28O+5iBAWXdJp4oq1J +zg+rM/ClfSJ965vo6DXESDvmNelgPJZIzbPtmVYzIZEMv/28U9Uxha7XX9Yk +JTCRtsUl5HfoIu022HGw22DHoV60g3rRzseHuV5VeCrPpdT48FfLpj4x5FLG +79mw4tFk29mq+Q/3GGpaL9x2dmmZIh98Dzmw9oXtkmPrI4Qd4Tlv5sKpyyNo +ZXSP+sHDwik1YlSbxjsiaNWPkc0da8v39Rr/Hjf3Dw89FRz3V9GomsnU1LFM +q9p39NT/fK/WXfySyN++uyGHm57WxHTMW2KOCc/A+n4nvycLvxD8RJCD3O6s +FxC/Y9A5o5BzkHvIR7lDl/a36tY4icYPnvrsziu9aR3Swf6BfRL16jg+qf8T +ed+RoW7PfTsjE6mm7bM9M/obqGLhUTdrmOalcjevUp2W+VPOJr0e5vY/Rc2X +ui04PD+YtgyK2Rx8wZk2zbOZFTMmmHafGv09weaOoFPQLfgGfAS+AR+BTkG3 +d1udvNWolgOdubfudJuJct08Nk9gn4fnZZwE9DDoFnQMPQq9irgNxGNAr0LP +8jgS6FnEQUDvQA9B70APaf3zpsq5RkUcWXGPKjYpEHRQL+8/iknzW9u6u17I +6fb9m40+bq2ny3WTvZe+T6MixT907H1b3ueRkn90kYSnfhQzuMreE709KL3t +rZDwx34UtXDG9dubPcjm2shyJ8+a5H+TuUUHBMv38GbELYq0M60TPT7UHrXT +3fI9POSPWjvs1t0Dl+jd2x1HTv1wo9vbW/Zo/I98lwf4Y98T60asIzcd6R3a +0DT+q4r2q9zGtE4rv3hLvinL5b2PI9/mv199tY5aNrMO+ukVT3eCGtWIW6Gj +vduPWR1Ojic/uzK1Oi/RUYdZvnsrNNJT9ZNXLvst1dH3c3GLFpfW06SlT0OG +t8J97GfpxcGw0rmHynvhfcqElLw5QkdtPuxYv8u0Xlg45+5H4wBTfd8ru67a +kkjPhqTG1b76lPw3XI6avcOP5ugnJ0e6etFoa88yLvP8qOmYvl5T3nnT8YfN +B7UZJ9/L62q88GHsGB21HVl+fxdjAg3xqf8t+ncdHRn024BqGxNooGvlXLvH +6qjAinubdJPle3kpHjfH7J6mo0IFeqwL+6anG0VndcoyUUcuz3rUDxuYQI9e +/BXlOEO+l+e/ZlDWNtbyvbxt/a9VuNxbvpdn3f3R5TnDgujl9Nwd950IIPuV +a+L315Pv4z1y/ubWoLs/RcUte/1zgBPNzUExNRv6U9O3Tu8Wzb5FdnGbOk0u +7k+hTjMOuh2+Sy5De+1tVtufKl4IutLE5jYZfybfPmeIoa497zv/4xJC1ZrN +2xI7ybQObDu1/tYFOtJVc3S8OF9P8RmpjrbPfF3Fq5N8Lw9+IfiJ2lao6jWx +mw81zXV5Zp0OZylLw96z59fyoYV74upeGHKResXW2vGgnQ99fvQuZdCpc3TW +ttbfvQ7J9/QW7nHK2n7aJYqySzkz+ak8J9q817XoBquchB6HXoceh16HHoVe +tToW+Xef9zH0Jr32kwFD5Dsk6r6d3KeDHMG+G/bVsM/m07jwuY97E2nM0JFt +yr2Rfll+7rPKs2k9tgfr6WXnPYcLVU6i91trPBrhJPdZsO8ywndh8+y15ft5 +2Ofl798hroDvy8Fuhx0PPgZf3/XaMsvxnXznZO/gSWX3JvrR95NP0iq7uVLl +TbEPoprL9+2i7x9eMswEL8m/r8LZhk+F/TGlxf0+voX8aX9KzlXbj8r36048 +W10yYn8QjW21JqnaVD/6a9/qyo3KyHfk8va3OvulVCwVdNwdMnicLz2IPNbx +lK881wM/IfyGm4as8r33PIY8C8xtSwHyvTr0E/WiHdgjjddE/yxuJe8Hc81f +z6F1Ugyd/l68faebenLYWyj/wNk6sU7BugX5KIf1S4+ixT5Wv6CnlpeG63fk +TKHHg8+XmftPIumuLirw93lZ7nue+wtHntbTdL8vn9YWTRHrHvyO71AP/Krw +s36xb/GlU22ZYt2DddDxIZvizi+S773Bjwq/Kvyo8Kvq123o3PuKUaT9fm55 +t87dSFtuxyY2dZQp8rGvC3rqtz9vllUm+2V+1NEaTyub7JdeW46O2BEhxjX3 +6T8WdHOV77w1Pt+9y89HMXR83Y9rYYtkPsohH+Ww7sE6COserIOgd6CHVjza +Nzb6h3wPbtSO1W99TbD93DUFG2UxknVAndpjdfL9twc2YUkNQ11pY8fe9R36 +PqQ5Y9b8Wf+pK/U7eLth898eiXL4DuXwHcrhO9yrZGNfc0+TZAPZbbv8Zu6o +VPpy4MgNJ4OBnh4Zueps21RqsbiwYe1bgyiH71AO36Ecvps0sGaPLPOSKarj +D6vdTnqyCpkTXu9ysjnV08LxBaJ+PDWYU7lutmk762LYC/lenHXTrNN1bjIO +BnExA7Nfi3J0NtKAjDSZPIyx+1aPcKfhfa/Z79roQG6FbTfdNcmbhobWH/fd +SaUJDvUCljSKFOuUmrWeO7ZZKd9766EvHXh/bSzNDY+eXKXPCvIvtHx3pcWx +lCVmSIck/+N0pPx8/28TYqnThH92jZt2ndxGpl1tOjeWti2+NCOn92lKr2Y8 +Wbm4XNc4dCpYy/6jfO8t5dWePpe6xFL9xRUv5LBxpzVdj5Z+0yKW5qfW8h28 +w1PoOei9ErptL7sfvWuyqwq/embSc0lVpieHXQmiF73nPLer70vTh+T2iLIP +ou9LBg7NnuxL5V6tGnEjSK57XAbbZPGpEUv0pXilCl996OaDiKAZ5Uz4TuhX +tErPV6KfLlUqL/82XNq5sHth58LuxboY62Ssi7FOBl7AE3gBT/QD/UI/0C+s +e7EOxroX62Dse2EfLMfdNi1SZ4TQbJfBuQelxljMK+YR84p5xLxiHjGvmEfM +K+QS7FzYtXsCTQvN48l0JnDz30H50+hJjgZLs19Mpqm3vIo63kmjCtXPeJXe +J9+f+1G/5+OWE9yo1qWxJR/0uEOtK3lcPddS7utjnx92UwfHEblLzpTvrX3V +e4+ysZb3xby687N9M9O6783UK04/d0k/o3hPrnjTnD0mplGf1QGNpm+wfD/u +U6W8bm16OdM28z4j9h2Tzfvu2Ie3zpbi2qHlIbI++rbC9OzO1G1SjVcVQkzr +mC2zxnauIvcNsI9QM3+WxRXevqJRpc9kr1JB7iNgX+Hv3Vt8G+yR779hPQY/ +NewHxHEnHNn92y5H+Z5bh/5/b/OPd6fNQycOfbRvPnV+MuzF0rvuVLGDy/wP +K7aLfRjsy7Su/6HMgRPu9HjshVcu3/ZSqnkd3sy8Lh98Myy0qWsKHen+s+oT +XSId7vVuRqlHqbThx4nbTV7L994QJ1+oYJ5S1cfL99/UOHcZpw4Yce+wwxa/ +dym8fZDJXmhoePnF5Z4oh7j/HIWrfDow+z716Deq96Xc/uK7zOL6YcfAroF9 +hzh/2CWwU4AP4viTzH7OK2a/J9ZXiOsfao5LyGuOU8B+LOL2sZ7EOQTsc2Df +A3IfegByH3oA+wzYdwC/FKgcseSrndxnwb4L9lmw71Ln2aOFLU3rvByrGwxM +bRRD/Se3bXzCpJc/1U0u/X68zEc55KMc6M9qy8Yys3bqqV/VOW38BhloQu/p +K49u0tORpk6OXTzkuwXwK8DPAL8C/Azwe8APAr8H/CBoB+2+rBTlOXq/nlyz +T/PxdEqhfFmP7bu+T09D97q96XI3RfQD/ULcEOKIPu23zv2h501qeueftlPW +uNHjXtccdD7utNxl68hB57yEXQ47HXY47PJdUzqe6dJIprHdlrq/mJpElLXM +uOW1ZYp86OONnd5lOzpGT6tLLDz/0tdIniuu2nsM1ot8lMs1J/Z4wSl6iq05 +YNkT07oa5fDdudq9lrdsg3cK7tDHpXudl/7hRoXa39tu3VO+v4Z9cuyLY5+8 +XNeLNWi8vBfLxzU2udCMICoxOFdzh13yvTWsq7FuxjraY4Ff64fXTXZXgGvK +lmgDRaXVfljMeEO+n9Z/7YSWN2/Qzya1iv7cYU+r5vit92vrTPX+6lMk27k9 +wi6GnYx5xLxiHjGvGAeMC+7PntT33ZeZnfSUNKlmrltX0yjfNZd6P00w1olY +N0IuQE7sqFn0a7cvfmTMVf3U5scPxboW61ysa7HOfeb6W33DR/leGvYFsE/Q +ZdHsqhM+xdGUR1m6X95spB7Lz9W/8D6OrJJs40q+MtKBf1wXzTF9v6W/3+WQ +I0ZKXXkvxGrSDeoe3KBSpO1pis2xI1v58TeopOPAgFXnTtOzfTvrf/vgRDMD +os/mKn6R2tqG5nMteYNy1vl24fSi83RyR+Pd9/18qP6PHNX3DfMT606sQ+Gn +gN8Cfgn4KZp333K4bD43ytHXofVZ+3tiHjGvR01SsWi6vF83tk3Bpevfp9G8 +McPzXbDWU6NsZaKaPUqjV9/0lZ931Au/H/yAkNOQ29c+b7n6eYvOfK4hXqwT +sW7E+nhyTN60wN46snK8vqRcn1SKGFtpiP+dRPpeW9exzoFU2vl1wsCvpnX1 +uNfl9lc5Kt8LQz89a28/mPugXKdg3XLUdVbs28Y6eQ/kz6OT8xXSCX9VFt/w +g1MXRrB7M5Lo+Jf2tx+3gV/JQM71wpoNLCXfkeo+oP34UmnynajDJ2/0HZsQ +R9ZLnmV50Fne4416UG+RLnN+uFTSyftzzPWiHdSLdlAv2tHwfUptKrz4fv4L +7vnxpU8JlVIa5fcTeAJv4Am88xurhG5yQPygLb3+/qnl1/sRIh6yYf6FvyVe +jBD7x/i+0ZGN5yPS5P2i52xK5/5zdhCtP7TIM2qDfP8I84x5hx0Fuwp+Ivjx +YIe96ep8scjaRFpWstHv0TW8xboM9uT6CsWOlX2YSF0+dYzYFRYj4mlHbqrX +Ls97+a7Llk5/NO633U3s0z+5d8PNZpl8nwfybUHbpe7N4uW77SHlDh7uUlsn +1mlFvlR8oc+pE/koJ/LN5eDXhJ8Tfr/69yafLZlFpvw9GvS7TujoOtci5Hsz +vdvEZSv6Vb4L++TlhWevPsdQZfej1R63DaLztmd+62uCqdKPnFtGBNGw6+2p +dRF3Sk6inTl2XKQlkS+GpZnWw1qaSj1W9Dv+s4V8X6LOuBk5a5eT70d8P2ZS +zD8ihB19z6ZYsOFNBHuXMJoW1U+dvMMrRtDt7muxO7aWSKF30ddGfpyfQg2m +xHgPqphCQU3dXiXGptHn5YP/brJQvh+Q/UVVu/dP5HvBvi8nvpgTaKB2r7oe ++h6QTG+tKw+Yfk3eF7o/fmDDl4cfk23IkLLzTHbWgH/306sE0vkCC8I63vaj +g5fz/yi257FY50J/Iq4ddhbsTtihPT4cC0nzsbw/9d6wcyGresfSDed+C47s +lPejIk4W/jf4teDnWtCz4+2PkYk0wOqK3WWT/ELcGeLQ4CeB3+TCqCKeyxrp +KE8R7/R3jslUt3mbfG0b6qjfSp9G61yTaeLKAkc7FdRRuZTEQVeTDLQ21c1n +/dskKlY035gLbXWUffvbJrPdk+jzvIIvd7XX0f1DF3uNaGwg/y3Huz8vraPm +858stGmZRkUr2bxuaoyjnRPzjV55Io0qbRmSdjIxTpxTw7m1ke26f3nTQUct +3jkH7rsk20G7aAft2pS5njNPRR29+HvyAl1AimgX/UC76AfaRT+AN8YBeGMc +gDfGIbBY1oqj7Z2p5LKnox/fsaWzk9rvvHgvgsYElO5W+sBr+hJqdfipcwT1 +dal21Xt2gDg3hHNEP8aXOfDdKYJ+ZqQBIs4bcd/PR/ntaJXnNZ0vRtOMi4Jo +Urc+1buUDqDP0/bdmjxWxnkj7hvnaPk9uqCbpdmK5dy/93+kLR7kr3w2nhqf +Ouixfa2OFi//9y+eNq7/909n0qderZPrx5N1SGrzt5t19MePocFXx8bT6V3L +KnfeqBPfoR58h3rwHerBd6gnokzBFZuXRlAV/dt1izaGk+OSji1GLTKNT6Mr +hYvpwmlcXFGbyklGGrTl2fC+7+Ioudn1lX8VTyP7k9uafzDpoY/tEpZnjU+j +vzPSOPot9Ev7x75pVCvr/Ual9PLe0bkj/w3sjRP1oF7Ug3pRD+pFPagX9aBe +2Emwm2AnwW6CnQS7CXYS7KZPM7cM9IjypFx2C69YV/aidRXrVjeEPaUX1/rN +XPXzGdWvsnPoyDy+VH7uvvety/nRP3fXjxqwwpcqZC+19lBBP3GuGuesIScg +N46az1mMNJ+7aBV/dcjwPN7Ua+2L9RPXPBJ+J/ih4HeCHwp+VpzTRBwd4uoQ +R4e4OsR5Iu4TfgH4CZqk2j+f8iaGJoZ1OuR3P5yqdQ9dnxBkknfZ5pHHInku +ST137y/Orbt5+YfrUvX07lTu8E2pCRS+ru69LG/1ZPc2x7zZzxNoiOuYtAmf +9LQ0z9tiVzYnUNkpK3cd+qCnXDHF9149mkBpY/J8qtNdR4nDJ+i21UyiqX7T +i65oqTOnyRRQtG21glV1dNXr3I/HO1No7ug2ld2q6OjzypV9y+5LIc+v9f/4 +s7iOfu870StxpYFKlfz3T0cX2tqcb2tjoLE3r2XbftqN3KaNzVW25w3Ke8Rl +ye2ZbtR81I3h1XreEnYt7Nzefxxq039tkDn1J5vAddvezQ2iAjmbxSR2fU1P +jg8Y7GzSo29fbhl/xzZA7BtiH1F/rfeLmmOSqe3BbsOrNtdRUoOXbeaeNtAT +XbsStYvqaM7Eck9n+xioc27XtO8m+6r184IrrE3fp7VJbnoxWU8XzjSoPrBD +Ih01fKzeSS/jFhHHuClfvaIlBiXS5SEPWo7RyXP3OId/zvbE9GTTPDdt/nL2 +cx95XwDuUcA+GPbFomPy/FblkKn+B65O3/rraLouxtf5n2QKvdx5SWRdHfVd +9GHmxV4plF3nW710TR0NXFXpzd8NUymP4cvecXl1VGdRzjtjJ6XS5Y6Tqw7N +pRPfoR58h3rwHerBd6in2MFP6wtm09GwLo8Sn99IpbhOnslbTPbTg8/NPDst +SBX7wNgXxj4w9oWxD4x9YewDY18Y84J5wrxgnjAvmCfsw2HdMabU+JJPeidQ +kwL65Tbf9bR7fE3bz90S6EeHyLTXJhj5KId8lAOfgG/AJ+Ab8An4BnwCvgFf +gE9A9+AD0D34APvO2IduED7Cp5vRmRranr4+9ecwSipWcXzdxxE0Ii3AN8dy +fzrhMnuo/qMXvZ8eat1hkCtdWtv9e+hTL7qckbpR2j0XlxzNo6nCrfZ1BnrH +kF3F0eEDvnkLeurhdaXvXoM31QhfWe63rNfJp6f9glRdjIh3mf+w2JzFcTF0 +IjnrgVEOYfS91ZUnm2JiyOX7qnqjSoeLdR3GG3YS7Casu7AOw7oG65wBDdon +1Pn7GX2akDB2SmOZinzzugfrIJeizXblz+NHN5+ti3x52VekyNf0dRjpmww6 +vX11BK14PyCpr1cYJb3MNbzOGnnf6eAJGzou2Rwh7FzYvW8XX4rck1W+z7Bi +o+vE1TlNcqt0/JUi9Qx0vNyK3PNyp9DZRec7Vi5voMO9R9mtPBkh/ISwf7GP +Bb0MPQ29DD0NvQU9Br0FPQa9BT0GvQU9dvxJnG+5LZb3oWIdBb0APYE4A8Qd +IG4JcUxb+k3MNfhKKHW63/Ghq2l8bL8MKFqllLwPFXHXiMN+M29hyw2lk2hf +9IDUd++TxDoB64bh5rim1eY4px9Dq82t+yOZwvLv7hMz3UDfzo4eNbi4Dw39 +eDm46+tLVLavo1uf3D70bcTHg8OnXaEaufs/OJkYQ3dShiRW3BQq5AzkDuQM +5A7kIuQk1j17r633jLst42YQR/Nl8dgBt4eFU5e8Gw/1XB5BNarfOGIwhpGz +3V3yXhVBq9sOuTpqurxP9YQ5bqSJOY7EO76Pw6IJfrTH51DX1Gfe1Gbl/EUe ++/yoUt1xZ45VeEoVOq+Oab0ggrLnKtalcEWZIj/6kq5VLtdQurp4wu8VTOON +c9A4F53wPl/rNwVT6MTYBGPv5BSxb4d9PJwjSzKfK6t5OU/zmWv86E4L78Cb +t58JOwF2A+JKEGdyNejY1mxFTOuAKe4B+1okU4srYzxnl0iiwrontlULJYs4 +JMQlIQ4JcUn1O72vvGu+H73wdIyt7egl7vcMyNHjwvCXMVSgTyXn13eiaHFB +77QaL2JonHWxKyX/vf+wQuT6EJM8+j88opEE + "], {{ + {RGBColor[0.162678, 0.1734445, 0.1843655], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFUrtOQlEQ3OsNRC/naKKWoPAJUlw0ISY2lqiUlia2+imG0pY/8EHho5ML +JCY2RmxRP0E/wBlniQknZ++c3ZnZXRon592zBTPbw0lx8rJZH8EwMWtEs3rJ +bDWYHVfMLoH3gKXLZj+IE2CDRbNd5BymwphDPtaT5xVxkSo+AnaQKrdAfLGo +mNh61P2ciaM958H3DjzFKB76YV4zSPdlyewabxPkdKL4iK+huJnp3kLuCO9v +JflpId4uy88U2DvOCvAH5HWBhUz6nMXQv4lfgX8/yt93Ji+F93UfxHOaqTfq +UYuaU+cnX8t1Q5SHJ++PeNvnlHvORtRdyTQX9l0H9uG85GTf47L6JEZdeiVf +7pzcH71uem01kTdqFb6Lvt/EZ74/xpwnuflGnYnzj1yXcdv/L9zXTfyffeG7 +ne964Pumfp5Ih3ENB7+/ObEHcvZ8zpz3XdDbY1Bd1fM7vvfbqDr2Rs/0RX+F +584cH3pMnzV/Yw39jj3/M8rrF+5fN8NiYQ== + "]], + PolygonBox[{{3341, 1593, 828, 2754}, {2510, 1342, 2229, 2539}, { + 2754, 828, 921, 2906}, {3505, 338, 1736, 3506}, {3555, 2191, 847, + 3348}, {2539, 2229, 2191, 3554}, {3339, 1591, 1593, 2756}, {2852, + 15, 1495, 3258}, {2661, 1495, 1494, 3257}, {3260, 1494, 338, + 3259}, {3360, 847, 1312, 3361}, {3508, 1736, 531, 3507}, {2571, + 337, 1592, 3340}, {2755, 1592, 1591, 3339}, {3359, 1312, 337, + 3358}, {2803, 921, 1012, 3587}, {3121, 531, 1342, 3122}}]}]}, + {RGBColor[0.2288727925, 0.2508225725, 0.2727220325], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFVTtoVFEQvbvr27f73rsiGAkIfmKCSaPgp5JEVFDQJhIUgmATTZtNCn+F +IFiIpkyyljZJxOwWbhILP5XG3SD4QbewSKXBfaCQQrRKwHM4Iyked+7szLkz +Zz7bMVQaGMk65ybw5fDNR851QrjgnZsOnOvDV8841w2jR/juQ+7Jy4b387hX +ce6Cb6/Zb4N8J5b+Hs4jwNxBOXFuA2crdG4d507g3Cg4FwHrFORzvEM+A91j +yCmwfwBvBnIro3PWZOLw9/6MbGfNfnCLc13AaEDejRzOQr/HC4d+zPFioNiZ +0/ZY9guIcTyj/JqweY37ZWB5+E7AfhLfMn4rB7pTJkanvcXcmONR+Hn49eUU +I3mkTQ36gbxwRqG/DvspyNdwnoT+RF68MYZe47AEu3JW/D+NlNsX4D0MFAdj +IN6UyXXzfZDRG4yTuUyY/Rg5C8X/k1Cckbs26Kt5ccQcWMNeq/ufRHX6a3Gy +Tqxdu9WedZ80TvhmJZQdbQazioUxHLR+uB2p3iv2G99hzpTpOxeKC3LbsHos +ReIz9ro3DJMxHwtVx5uJeLmFcwF2w+ihRa9+Yh3WLUfa9tt744bD9yiT833g +eMTyO5yIi0M4X+L7CvlVIgzyR5wOr77d68UnuWSfpdavtCEfFcurBv93wAm8 +ciUOc1qGvgX9UqKcGCtrQZuKzQvrUzXM1LiivmQ9wnqsWZ/t93pvzvCXDL+O +8z1shpHnEGrS5hXfd69+5+wxdvLGPiZ3nCHK1LGX2YesAWtCn/T/DBaUf87L +hj2b2yr970i9Q4x1469lHK4irqsF9Xri9VYcaU57rBeYRxpu+qWWO+UNq+ln +L/uPRdVvxHr0eSJ5ONJZMn0T9nfx7rNIuN2231jnkvmzpjO2WzhDtOccXYqV +O/cEdwd3SNarr6uGzx7kDmVe9GHdORNXYvHPOnzz6rufRc0Q7Zp2p/5DUfyU +Le7jsWbuAM556yX2VMNmnr5jNnuU5724rXnxxJoxF8Y7ajNWt3lgzL+K4v20 +zT1nlVgF3NuhXyvqTj19uL+pjyx/4i5Ginc62MReMU5oR/sV2wXkiv8VnG3G +9ibSDmXvNxLNJfuYdXmRaD67YtVo1eo0Y7uLPfA20Y7/VLSdbzuNJ+/87R/L +l+o2 + "]], PolygonBox[CompressedData[" +1:eJwtkr1LXFEQxcf98u3b+yQYJRBQsyomjYKmC1gYEiEWFoIggoVutvUDTDbW +FtoKifkHgjYpdKOFSbokRhQU1MLCSgM2goVond9xLAbO3Dln7sy5tzgxNTSZ +MrNuIkM8ScwGcmYvib3YrD6YVdJ+VqS2QZQjs2VEg+AeOF+yfvaN/CBv9gzu +MGeX4L6C2U4NdZqXwN306826RtprYgXtKpp+9NtEhfwx+Q3cEvmLWrNG7nsO +d4EeX8GnxCL4nHof3AfMfpb4mWqP6B+h7yRvMtd0gSucLVP7THwAt6B5k/Md +tes6d7SlfYdDar/Ie8kT5g/kWWIX7Qz9MuCEGMs45zfcn/Q4oS5Tt8BXeZ9F +O2k3eSpvNXMD+VzwWeSRvHpH/on8IzELLsR+t2ZsTtxzef+WflVwPZpp8nbu +fwgO8P9lfYYf6P8G9+5Cd4A3qc9H7oG8WKJHf+Q7jKK/De79CJq14DtqV2mO +wft591pv2EP9iLORjHtWjV0jrTyqBn/Tu7eN/C7tpN2GOLuCvxH77OqRpj5+ +/1/kwXu4NeQNKf8j6TqziYL/JXHEfQXnacr/iP5KOXbvW+F8p/Y6+F8UR9z1 +xL2TR/KqI/FZ5KG83A7uFSPZH/B/9PRdBw== + "]]}]}, + {RGBColor[0.2607944475, 0.2865273075, 0.3089483275], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNll1olmUYx+/33fu+bs/zvAMNPFQUdPmNhUIWWFB44GqS7yYdVOSi6CSh +Ly2zbBBKmwMh6KAjqR1UB5tb1kERBWVukybrY5t9wZhQYAiFbTXL/j+uf9TB +zX0913193f/r435W7T9w7+PllNJlrSatX1pSer85pZbWlCr1lDbWUqpqn6+k +NCOBaa3tol/WmhP9UJ7Sw6L353GGzCkZvJ7JluhD4r+QBw2vT+t2yXeINyz6 +Jfn6UvYP6lvsNCn/HSJe0fpbdu4Qf6foZ4uU7ha9R/Q92ruawm+n9meKoImF +mC5pjZVSypvCV0P0mqaw83054tul78VS6De0Vqaw2Wm6txJxIEcsexxPex78 +3drfzMLHk3nIdVgGH122M+F4vtAasv3OUuigm2sfkfwG6W7VvjkPepP2K7J/ +UjJP6X7DWqNV2dDer/Mu5eW05Be0vy0M2yR3rhr8FfJbaw3+H1nEMyqfXVqH +l6T0nNY6ydUl/45kZqV7rRR47NV6UOfzOh+rBa4nHXe7+LuXhB/0sYNet/LX +EO9Oxfaq5PfVIsYbdIdW7cu0P691TPQR10KP6KmmyNc20V8r5puzsIO9RdEX +dPZAHv6xA27H8/BxLA/95eWoG+69z3dHtqc55M+LN16LOxI7ODSc95POxZTO +v6nFXT7THX5SDGeLwB2Zp4vI4YTr6nolcka+MsVR1vevqtuDRdTZmSzy3S/Z +vlLoXbDu4L91gJ1y5JB4kEUHHMCGfqOfduTRb2/kkR/qixxRI9dcMxOuL3yR +tzbT9C7xkHew6XJewB/swA0b/bZDXIPuh4ZpfJHrQcdMDnsq/+Vw2rama4Hj +aucE3p+lyD35WFu3nPmbhdUO4bxF+8c6e0L5+qQesU84fni3VgKn7Z43YNgt +eq/nzP156JTz4PW6Z7s9N5gfj2ahD5bMtl7r76TXhMEW7SvyyNGiczfnXID3 +rHEgDuIhZ/RGw/z79F2IPiF6mNqoxB2LPPgDrmvOlqbQLxvzI+6LF/OYVddd +DwvSeUuxVtXHA9Wwif7rOr9qjNuywGNlEb6ZJ+jOVCOmE+7pYcdzRvg+Ipvv +1aP+h5xnZjaYguegZ8Fe1wy9Rk+BKVhgj5lx3j1Fnd5SDRv4oY+4422VqNER +Y0VdklNmBFjcVYQf5LFJjzJ3kOU+3GttFudTtgn2ZePP7Jlyz1LXzCT4Q56T +vxfhE5s/luOdmXZ9kpPc+Tpbj/tdaQnc6EPy3m8/5OiCa7LNPY0es73PfQs9 +5XmIfehpx3zKmIH/piKw2ljEvcCLM+bfpOJ7zfOcuIkZTM6bZuakatTrb3nQ +R7N4l2adG+46bnnyOmbMR1w3xMBso374pgd2uY/GPe/JO33Z7fee2IgLTC63 +xJ0mWkJ/uW3if9y607YHn1nLzGX+NNzTYEWu4FOrf+XxDvVmMWPnPMvQ5d1C +vtnvynG/lWABDqVq0OSIXufNRWeNd/xSL8ghg892x0ONtPstA+8Fz016bsEY +gi2xzbpWRh0/eHxbDUzoJ2h41M9F9x7/R9s8s/CFH+qMd2l9LWbp6tbI+yrt +y7Q+FX1jFvYu2v7VIvSoU97u9a5h9g3/o9fZ5qjrs+G3Zp175Cv/y1X8Vg94 +HjXVw8678jtSROxdWdQ+MWPnQ8kcUGwfaJ/UOir6dBa1CR+sDvnt4w2k3n6u +Ro30ex4RU2cW9vHDrCtqMe+463fGjb7BPnV2qQiZuSLueNj/LWAEVktbQ3fG +WJFPsCa/N+nsB8lsbY2+POzeZBbT//Oyea6IOD8vot6Rpyc+KiKexyT7Dyzc +iKo= + "]], PolygonBox[CompressedData[" +1:eJwtlElIVmEUhj//ift/97s/WXtBIYWcaITmCFo1KGU/tKhAxWqTFGQWDSqE +kBEEQYuW1aLapGYtGihoxsisRRO1qKAgEYzSILHn5bQ48J7vnPPeM97y5vbN +e1POuQYkg/wOzj3NOlcG/gX+4527Ejk3lXNuZ+JctuDcZfRPBO2LnXuOvZh2 +bjXBLehD6HPRa/B/nZiPfNuJuY3ehLzB1o0+gO8dvvGO771HdqNH8G8h/iP2 +BeCRPHmgf8P+EN9+fLoi4xDXOt6asJWS7w98a/leNbmsQFaB2/BfDD6BHEbv +RMbSVutBcD/xxRKreQBcCWcB4xl8xoktJ4fRyDjElUe/GVmOyrWemGXEvkWv +BjfAuQbfGP0i/hPklEJfjqzEdiuxXgyTfyO4l5hLWathIf7zC1Z7C/7D6DuI +GYGrCtkO7kJOY/uLHMV+KFjv1fNOcCnxD4g/R89ngSfwn8FeAn+3tzfZVFMF ++Dj23oz15Bj4Bjm1/Y9fm5gIi3N2wTjEpZp8bDPT7BQzhO99ZD94hpjP5FOv +edBrh89P8KNgszwvTnCXN5tyVK7rkQZwH/KS3g1i74lsJnOwvUpsdyrI9xq2 +Zt5aM7aD2kXNQLNYCmcteBIJ6Nv43lZvM9AslOO9xHqsXmuGdfjWBIud1L54 +67F6rZ2qi+1Nth6kA30P+oes7bB2eRNvjdhOasHARW/fls/dYDWr9u/oT8CP +g+FB/BfhO41cJbeEt2niDwTbRdXYEYxT3OrRBnAl/s9KbEfK0C8gSzL2VuXt +ZnW7utkpbzPRbAJvX8FfgmHt7ClvN6JbEccubzWqVu3IEXAKvnk5m4lmo5yV +u3ZYu5xN7PZ1U7qtVGy7q39Ijv25rhnljENcmqFmqbc0+ou83bJufDSxG9Gt +qCfqzXje/k1n+WYEf5+3XqnnG7XLsdl0I7qVOLZb1A6E2HZKu6UbHgP/A+lL +pCQ= + "]]}]}, + {RGBColor[0.2927161025, 0.32223204250000004`, 0.3451746225], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNl1uIlVUUx78z5zhn5vvOHErSgsLUbNSZ8RqpYUYUXUDHUigvUFrQWERp +RiWaZgheSDCthxpRQn1RX0TTMbUwil4ciRmlB2+Zlo2KGiM5Gqn9f7P+Yg97 +1p79rb32uvzX5fR7dfbktyuSJBmXS5K86FH9uah1ROvbUpK8q49vpEmyUuuk +9r/r7AvRX3skyS/iPy56Qmt6RdDjPm/M9L/OPtG91bk4/1S0qZAk0yT7ei5k +nDD/yHKS7KpKkirRWn1/Vquvzu+XnEPa/ys5Y8R7TPvJWq1p0BHib9X5Aa0h +4r9UlP5aO7Vm6G6dePKileLr0r5C+6nivZoPPV5Pw0ZsrdedH6TDXP3fS/w/ +aV+v7xeqk6SnZLeJHtZZXvSUeE7rTlaZJN/XJMnMytAfnebo/x8la67oAMk5 +pPMHREcXYo//moohCzmj9W2e7h3TW3nJ7Cn9KkTP6mxTRfiqSm+eMX9HVdw9 +re/N+fApPE+XQ7enRJcVgx/7F+v7K4Xw6Z6K8NVU8SfF0Budm9Kwu5/ufiPa +IP6HRWf5fL78NlhLV5PDeqOoda1H6H2PdF0k+pt4x4mnQTyd6JsPm4nv5Sxk +DhPto3Wf9rXiXyieWYXQZ4fkdWm1VISeV7UfJXqoFPu/q+M93uU7mONdcEUc +0sp4e00+5GPvHeWI6Z3lwAH+eLQc37qMMWJMrO/S+ePieURnw0X/ScPvjTqf +WAycTddb30mfg9q/qO/3VsY52IMeNM9Gkko6DBItSVZe+0x0Rz728K/Iwv67 +S2Ez+mMv9nCOT+ZVxRvwzymGneQh2AXDN3Jxt3ArXoXwEXefEP7WgkvRq9J1 +q85n1AQuwWdO727S+STdeU66vJQFTl4WfZN8036s9j+nIbe3+HfpXovWJMma +XQyd0Gew6F6tKXr3Hd1ZIP4e8tsH2i9BJ9GBkrNN+43at0rWBfyF7dJnluzc +LfqCfdql87Z81I5VubCjuTJytbEY8cDPiyRrhWR+JHozFzpMM5bwC/5szcUd ++IkRd8mBGZVhDzlG3dhlu+pE18Ej/teKkaunHB9sHmV7+YZu5GGTbW/yOXv0 +Xa/9l5WxkDk0ibxcZpnwLrMc8ELdAjPr7F98u8v1DD2JPz5HF3KXWMyw7PXW +eUw54kXc5jnnwUOtfPqQ7B5YCr+CM/RB/iW/gR6rfQ6m+hAX3d9ZE76nXuK/ +RvvwvZrgOVIdNZ675Ds+3Fe8jYt9jgu1DezRbLp7jX1+0Tqw3+kaPsh+XmV9 +ltm3p5z3C5379If2fOT2cfcizsED+UEsrkvvDn1/XvqeFz2ntTkf/QQ9ePd8 +Fnm7QLyflQJDn5dC9722hdpInlEj/qqOXvJMKfoW9b9atL4UvWpYKfKHPNqU +RX+pc4zAA7gEk0vS8HG9dNtfEzVsnGsG+U/uU1uxuX9N9Edsw59fl8Leqfq+ +rybyjvzbr/OT0uGtNPTdbZ33WQfukl/UaOIF3qhNQ7zf49wh5uC4O3esN7EY +YhuxdZ1lck6trf9f7gx2LoAX7oPD9c4vZK1xr8em/q7V1GziQn+iN8GPDsjk +nXrr/6f1bzMOWo0TeNeav9m51+1n+eaKZ5tprp30zc3e0wuuZ4ET8AIGwQY4 +PGqsfFURWLhpXN0wzrhLPU4sC92PGVf0NHKJekTOkq/ME/R39uR1i3sx/OBo +pnnAI+/Td+Fr9uzUYhw2eGY7Yj3r7HP80Oocx+d832BZ+AzfHcxFLZntetLQ +I/omMaFXb/cbvYWrJ/W9l+j4cvT+CeXw2znrMyUNHIJHzsgx5j9s7MyHLdDL +Pt9iHmQMysebtZZ31jLx2W7rAH+H75LD7Pd67kpcN9ptV5tnInQmzlv8DjFq +93dqCn0PzFNjVzsfumuXZa0yxtrtK+gh75kdtlrmeb+BbjeMJ/S/bHs4p6ZR +34lhmoVvP04j/mftnz88T562Dy/bF1stn7eoJWeswx73CXIW3NGHbmEy8R5s +1vru8FLwFEQnZBGPJAvcUpe5c9H1EJzzLvWEt096VuueWQpRm/Adczk+manz +G2nMpo8JG8sLkW/gjnxlhiRnmY+oKeTj0kLMh9iDL/BJp2fDxZ7fPsxCl/ez +WOznpzGPIrPJc8pSy2GO4HcFMzazBpgGW+PK0XfHig4t3f4N8aD2I8UzoBQ5 +0OKcOuAZE98yb171/52O3WJm3ULkCT2hLo2Y9C0FXrdbDjWAOoneKwvxVrNj +2+n44sd1xiHzGX6/load3GsoRRw6jAP6E3WhLovfAcwcxJW30WFwGjlF3KcZ +5wsdL+yiFlMT0AddwCS9tc6YZ0Zo8rcWz0XgFH8PskzqyAbXJX7DnXTfTYyr +iVlgabkxMCKLXKbX8f8V16M2/7Yan0Udwg/0HebQLveGnuWo58yzzIzk0a35 +eqVzapvrFvoxD/Iu74MvsEBe/weJ6wHv + "]], PolygonBox[CompressedData[" +1:eJwllEtIVlEQx4/f/fzUe68XsrKgUHw/+spHUPawFpJBaZHQS+i5SHqHEgmm +BUEUuatF5CaoVm2iyIKijKJN2kKFIMKkF0Io0Ustevz+zGLgP/OfmTNnzszJ +23u06UjMOdeMxJG8yLlWDE/TncsH3wmd6091bl7Cuc2+cy+RfTguxlYM9wa9 +3XOuBVsN/lVIE3ov8dXgoQznuuOWfAJcETiXBNciq8HFxM8HJ8mXS77HyAj4 +LXIIbj0+WYR/JWcD+AC2pfifRToCE+Ea5CDcP+Qc+DzSBVdEDcPUMob8hduJ +bQ/caeQ3el2mc5e573P42ZHZxKmmHHzbkE7wJuQ63HL0Us961IJ+Q/cn1oMP +4RrJkc4938G3opeE1qsrxBSAG+DTMqxnS8GrIqvtPXol/KzIalFNM8EV2GpS +raeLwJ3knABfhT8JHsA2Dn8N/TP6hsB6NYLeCC7QG6Rbz9S7/Ugb3AAxj4iN +h3a2Q3rgJkN7a91Jd/tKrUno28T45HtCv4KE2frAD5AxYjvI/xBcic8yuPv4 +V4GvIbfi1jP17npgbzWQ4ly5eu1bbs3EN7h25Ezc3lBvmRHZLGkGxqllBfqn +dOvxL/hkaL1QjxaCNwb2VqPYuuHLA+sNtCsLrKfqrXpSCN6NbYjaypFd4MPE +jKbaDGoWNYOaxRb873G/FGzP0qgHmwfeBt8cs5i+0HqoXsrnGP5bfOu1dki7 +pJnQbHjUX8/5+fh0eZZjK77Zoe1SJ7ZR9LU6g9jt6PXglZHVqh7Ugu9nWm26 +k2b5VGCzrxnRrPRi60nYm98Fr4nsbO2EduMSOe+Qfwn8OvBruBy4ODm+gxdk +2lvKdhycGtlb3yT/lG8+8p0kxyDxQWC7oJ3R7mjntfua0X74V+hTnt3pCziG +z6RnO7kDPIjtp2czcAJ92rez5JPg7Dmh9UY9mwu+4Nusawb/4B8L7W10hs7S +n6K/RTNY4tsOahersRWBZ3OnuoT9afrbCkPj9Gfp7yrF9iLFepgV2R11V/Xs +IviH7gOeRoZD66F6KdtQaG+mt9MZ2Zz1IbTZ1A59DC1GsfoT1pO/zLfd0Ezm +cp8Zkf3FqkG1/AesTbi8 + "]]}]}, + {RGBColor[0.3246377575, 0.3579367775, 0.38140091750000005`], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJw1l1uMXlUZhvd/nvn33r8hw8EbYlpadSh/W4QE0wI3RFoOCjHUtrTVofUQ +BZQYqPFwU7k2JsyAB1rohQeiM9WSoS09jN4M8UI7hYpNgESaknhRpNMEscMF +8X18317srLXX/ta3vsP7vd/ay3Z+54vfbhZF8YVGUbQ0NvTy03ZRbNP7RK8o +uiNFsagPB8qimNP6osZ93aJ4Ts9JyXRGLHNFpygmq6JYJx2vadyu98N6Nur9 +pN6v1Phb7Z2Vjlmt36JzTml9udZ/r/VnKq8/rfGfo973rOa1zh5K/znJb9b3 +pmz6ksYl6Rnn0foOvbd6PvNt7b1Le49J52rt3c05svMHtfVc0veX9G1ee1/W ++HedsV7y/9H67/R+VOv/1rhN+ya174y+vSQ9s3oebNk3fHxf8hM6b6g4HJPs +ce35i/YeLR2PTuK2t3IcfllZz5Oyc1vL39qSudCyP8yXSe+fJPeE9D3aL4p3 +u5bn3O9pbdOI7Tpd2ee7K8eTWJKv3+jsQ3q/Wet/1TMmfe/Jzl/U3vvz2jrP +jdiGduzkXOKxrum4k9+9er7csI/4xxmHEzfit9CwzG2S/4TeryUXsvl817kg +pvjV0HyzzrpzUBQ/ksx3JXug5flMy3EhPs9pvF77D2r9V5IZ17e79KwBP1rf +ovlVsv9hzR+XLT+UzB7J7mxb7m2tr5Ceq6XnG/r2Ta2f0tqzesaIr9avro2h +OyvHHbvA341ae7HlM8B40fT6023njFjxHV+Q6UnPVn071Pf6wegatrwO3iZb +jgm2fSs2X6cYzEnHCT036Ol0jKvtkp/R+3TP8Vsu+z6mvXXfGGYOjuf0DJMn +bGnGns/I37tl73817tTaRa1N67mxtPxajWvBuc67fWC/Oj37Bj7AyelR60f3 +Br1v6bqeNgb/7Z5tXam1bs86Tna8fmvhsZM5tUGNvDFq/5eSxz+GQ+ASML4v +GDsuP9dI5g6tv167pt4aNS6wgXpGx79GjB3wBf7B2LHs/fTAMSW21MKO7MWO +h7Vva9e+DXvOAbLNpuV3NBx34s9ZJyLDOjEGM8R5cdS1ckbjvNZf0XNWOnZl +TuzPjjoX5ITzieO6xHNr5tjBO7GFY+ejZ2fm5I/aosaIz2fl2zvy4a2+bZwJ +J1zmDrCHjcyxb6ph7qI27xk4TvAc3IYsXPxh37FcPzDHngvf3SQ5HV28Pmp+ +IY5TGj+Cj8j/wHJT4canMucsYvpU5rcNnK9bNe7VeE/X2IAjp2P/VQP3kTtq +cwx1w344aia1QG3B8dgM3/+66ff9PeOHHvQQ8eu5B4GF4yPmywc0fn/E/j2Q +Ef7kGyP2g4FG+BPO4Z28Pyb5XsdxWd0zbjgLHsRG5L+mHE9pz0XF5n59v6/n +mnikb3zD5Qt6P9VxHg/XXuf7vspYo1/Bx++Ek4kTe4jVoG9fNg58/vOxYSH5 +hTc4dyH6/1z5rC19x4YYgSPqFru2h7PRQ47A45bUxZG++WtTbc6gZlh/ORzU +rV375BLbuCMQt7Wpl2Zi2ErewD7fWaf24aNG5oxF9mL7yfiL7cQHX4j548kF +8/kRv4OR3ckdvDiVHo9P+xOfxdQGZ7zacL6RJ5abgg1wCAapVXosmNsWrIEx +agA+64bT3i2NQe4y8D48/4/afQi74Hg46P/4S63AC/S4r5TuUxMaW5Vx2tB4 +y8C5v3dgTqF2m5Uxfyl3GzBFjokJuuAIYnld5b71qcr1hD/gaU3uCvhNL6UP +rUr+yOPRvrlqVzgHbNCHiMOF0n2Pexl9mh79+fRt/JlJf0MPeaCPwjsbKp/B +WdQQuVqdXODHUnzhXjSROqVmJ2LD+6Wx8IfSPZve/fXSPIgM+Xwl3Ij/Y9l/ +NpxFjW7PffWh6CfeS7lDgLH7U5sn0ivh6fOl7ftbeiN6L/P5V6Mf/I6nf1Hn +4G1Z5ZzjM/gcG9jnKzVeKh3PD0rfra4IJ1eVfcTXI6W5n3su53IW8X2stg3c +WT5eud6uqYzBlakRcjrsONYzwS04Pp0+vkLyn6zcr7g3oXt9/IJr4QVq7Gxi +xXncM6ilMzp/qXT/P1Q6XuCP2MKFnXAI8e5lPl6al68vjWXsod/Qw+ETeP1o +7sZzpbkeO47U5tJj4dMnavPRKo23t81B3Ee4X4FzfNtTmnd+XDoH5GKx7/pn +DubRNww+n8wd58HwPvwPXqjrdr6BkQPJbzsYoSZO1O4Bc7X3z4YruHe9mPse +2KFWsW1z7oFwBLzDPYd8P1O79/ysDrdK5nDffWmYnrQ/3A437wrGqbW59B0w +Rox/kv4Hf06H37q5d3Ef4765J3fOmdwB16RH35B70fPRCf/D0XA1vMHdGR1w +4Oa++9By2bsi2Abjb47aJ7A8mdoaT/xmchb5Px8MHMy9eSz9Yjb/lVPp83Ay ++FpIL5tMb8M27l2N/Ouxdl84cD68ATdQB9eG44a507H30GW+0XxleBK+RGZ1 +4rk7HHn5DnMq8+n8A/IvuCr+If9B/vfurVxTu1KznMN55P2F/H/xH0ZuLuT/ +gv8s/OAdTmjn35C7FDo+N3CuLianjIuZ04P559oQjGEbOv8HPrnfsg== + "]], PolygonBox[CompressedData[" +1:eJwtlElIVXEUxo/v3edwp4jU2kRpWujjmVJh9ErCKE1rY4WKRCENhFQSuWjY +WLRoES1KKzJXQUHRAOJzpo3UorJogmqRGLTIyE32jIh+h+PiwHeG/xm+c+4t +aD3ecCwiIrsQB7ntiTwGxKMiSfCMK3IVvABboS9SgzTGRAqInckROYq/gwSv +sD3BV4K+lNgE+nL0WXLEwFnIBXzxQKQ5U6QtW+Q8+g5i9uOrJEc9+ADxrzOs +5kFwIfH1xPcQP6m9ELOX+A3UvwL+EFhvZcQP4q8NRUaIXY0+7NobfVvMmyXE +l5MzQXwVshnsYFuEL4mUg39gG8KXS/5pnR8Z09nRf4LXEtOPTkuyBryVetPU +OottG3iLZ7V1hmpwFJlDb8W/D3wOuQwu5/0n+BtDf4Zehz7qGefK/Un4aKP3 +naHlfoDtD/o6pM+xHJ3E3vGsV+3prmecKrc6YwV6Hfy0kGsPthvg64Fh5Sgk +9jM9JDJtB7PgIuWDfBXoxeB7ns2unNwHL/aNyy70i+hd6H0x60l7053r7vWG +StF/kTMptrM3+B56Nrty+gj8Mcd2qTfRQW9neDOHL418x78iNC7G6bcInEGO +heSazBI5QXxa+8d3CnmKXoZMRcx2Ghzx7Vb1TdS3G9RbbMc/iv8QNY44ti+9 +vTj+l+Be+smjXh4xTVG7+Xzwb892pTedBg8j28V2OALuo8ZEzG620bWb1ttW +jrrB+UgRuIWcE/g3UuNbtt2I3koytF2rbRP4hW9c6E6eg8cC611n1Fk1h+b6 +im098aXkKHGMQ+VyyLVvoxk9i/jc0LjUGXXW6vnvTTk4DF7l2+515pX6bXp2 +u53IX70X12pNIZXkuklMLb2leNPj2w50F7uRbvAg78cdixkAV4X2rek3849c +A4Fxrf+QFPh9YL0m8A/gvxZYLr1hveVe32op57fATa79e5Rz5V571F71H7SM +einXcumNvwvmb9axHXzR/09os+iN1oPfck+XHOOwxLMb01vTf0Q7uB9bjdhM +KfB/Qm2m9w== + "]]}]}, + {RGBColor[0.3723175625, 0.40476015, 0.42477252499999996`], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFl12MVWcVhjdnzp4zc/acuaotiTG29kpSDgzYC40MMIDFQtWYqC0MLfLb +K9qkcGPohaY/emfUAQ2td/YnSmlNZQaBlmFIKcxACwNlKNOLJqI3Sluj2BSG ++j68b9OLnW/ttde3vvWtn3etfceGR76/rVYUxaOziqJD65LeorjWVRS3Noui +7C6KC6I36Nu8zqJ4vFEUba3vdZr/t5rXqdDsYe9i6ThSL4pRPX3SuaDmd+gX +q6I4IHqJZEfqpr/AuaXfdURxo275O0XPqZmPzCuVdS7X3lNax/X8UPyDWl/S +/rk163kxuo7q/Q2t39T6Z+0dE/0t7R3T+wnR/Vo79BwVvbjwOhaaPej/gehD +leUPah3W+kJpuzpK7+Fef6psxx+1Pl+z3Gcyf4ncRfntXT39kn9Zcq+Lt0/r +Xj2HRQ/Ithv6fovkL+r9UN18/IB/H1SAVot+SPFYJvo+0Stb8ofo37TMWx7+ +ng6/c5eGnDrQ4bvi21dK+7es2aZ6zb47lLPulh2z9T7UUxQ7G7YZ2Wf0PqK9 +e7S+EF88r/WIngnR92jf3pr9gL5ruQOx464vl86F4cpx2a/11Zq/LYj8vtJ7 +HixtG776ouha6Ts8qfy6JP5dokdrtmdRzXmJrdh5r3wxovfdWn9Z9372Liud +N+TMXbL1Tem6rddxnkisz2vPE+IP6/ug7Fsv/q/Fm5G+63rWSGZA/KXiL6ts +C/LYeaJp/xOTd2MPdq6R7KeS6RN9tXROkDPf0NmXxf+61rZkOsV/veYcrJeO +3S7FereeKdH1XvOfaPrOp3OXVYrHQ+Kv1vpp8gc7Of/x2PBxZf3/q+ybYT2r +JLMh9Hqd8SXpXyHZ98kl7dvX+XntQpMbS8R/qdPx5Zwb8Qkxg0+s8RV8cnh7 +p21CBnnoWR3Wxxnky0zdNGfhY/ZfEG8R3ztdR5e6Hcufyf7Neh4WvanyA72l +MhaBTeAV63To0w2/nxXd2zTvt7rjl3XfM9pze699MB0/bJOuLp3Z13QcLyUP +wRTsuYlRsZN7UZfYsE7rtQ7HdEjrnZX9iV93JUbECnwC99CHP7bHJwtbXndq +vSgdC5Mz5D41Qq18VLq+8NuVMjVYM9aBWeTwgdIYR44QE74TF3zOPuI4lLwC +T7jTczXfazx4SV5dCl6RP+ckO1/rllnGEWwhh+FvSX5e0d6nxF9bWPdQ+OfA +VPEfKJzn5DjvZ4LB9xfW3Rf9+I73tbETvAPTppOrxI86B7f4xr2OBEOojz3B +PXJ/Z3rW5bpt3aznRMP2UVs/rYx1YB5xeKzTNuCTkWA49dsXm34u/U+Xzo/x +5BXYDJYgh+379Qzr+fEs58NQ7jIZn3CX3wWjwKrryff1wXXuhP3wsXFNelNH +fM599kf/8bpxkJhtEn9jp/07GDvQtS72DOYZStzBqhXpF+wfTdw3pA4eiP8n +E0fuPRn7qalTDccEn56LTLv0WZx5smFfU3fgJXWCr7a23Ic+om/kO/fEds4m +NyYTq6nkBvrXptbWpQ+S13OS21ta7h9XKtc0ficXwQywnxiDMTOpHe41GP+Q +ywvi273phdQI+LO4dG2Ae5+k1ja3PGfc3WNbBmNPPfMEscOv5Ai+4vxX8+2x +xJR7MReA9cS2q+E+Td/Db/gJndQwtfyjwn7dn/Nu73LvG03cFiV2yPZH/ict +50S75T62PDNBV+n+C2YwC4xm3rqjy3MOOjinTH2BARczA9zTcn39p2ke9n5W +h/Xc/aR0HIsdD7fc7/5b+f1Y6v1YMAB6oDQuHEtPWxT7mQUOZ4Z4sum8vloZ +0w5lxvigckw/rFyLp5OT5NX15PF3tPcdyZysnMPUMLnFPDIT3KCO8Cm+3B2M +wP8jTc8c77Scp/CJ38Ie58bXtH6113g9p9cx5wzizvfbupw/t6Sn0FvAZ3yN +n8EVcB7MeT+2Ife9pvvnqcq8X8Tmf5euHfLzXsm8jd8kszIz8ajo4y339o/V +Mw9XjsdrlfsP8epPrkLfzNem85m8bidnXtO6tOmaorZWi54UfbzyrP1J/D+U ++YYa/aC0PPV4tdvnTHc7tzl7dur66dzlgHQ+pbtfaNmvJ+Nz/ifAC2oADJ+X +HkRcwRxiSq2gF53U+bVg7Hj0ECtiS7+kph9t2r+jPc6zdnrSRHDsbGaG8dCc +OT/n8v10+OgeT31eT56RD9yvK/XbaHnvX3Xmsz2O9++17kivJ9bU3NXMgcwC ++A6/4Q/OBtt3JY7EEwxp5L6/Sg1Si8QBbJqbeCJDTNHRjh5qiLwhZ6jrdmq5 +7PFMdjR6mCfAt+f0vk52/KHlu0/E51sz9zL/0h/BR3Kbvo88cSDn4c9JfYPn +9BFqFjvR/4j88g/tea8yHm7PHDVSuQ4PaH2r7nkdTDsLdpXGBOas+aVxd2mv +5+q50jfFv13ps8h3MIU4UzecRb7xHRxAhvtcCD2TWZX3icq6viudzzQ/n8sG +MoeB48hNZe95rStK4xh1vCPx5R9xcf4T6YnzSscCDG+H5h7t3IX/j+7S89uK +pjET7MQ3OzIfDgXH+S/5So91fijZg/lXX9nrs/Ep/YVZaSTz0q7w8TN9dlPm +/9ldrn1mv2VNY8vW5Bdn0S9u5m2XbRhrmX62aax+K/8gxJo57/7Me+dD4+9z +8RVYxR7iSDzfDt2fWRCa9WzoNyrTq5r28WR0DmdOwH54Z8I/Ufnc+yR/uOV+ +Qd8YSz59u+l9G7OXvLic3GD9e90Ywr6NmUPgXQl/uvL7Nun5Z+Wa+Vfl2eRy +ZP4Py9xG/w== + "]], PolygonBox[CompressedData[" +1:eJwtlUtsVVUUhjftPbX37HMvEyJNHEhlokZegkEIUEpbREAhJMaEBEWiog6A +QU2MARIJEBhBwIIoOBPwxcMEaCmllMqjCFgepZBilAEwUV6BijaA3+/PYCXr +P+ux917rX+tUzls4a0FJCOETJId05UMYWB5CVRLCyCyEw4UQBqD3Kw1hcxrC +F+B5/UJoLAthE/r+GMIEEnQQfAB9Gj5n0c8gR8Dr8ZmL/hXx69APIu8S20pM +C/oOfHaRvxWfXehrOHMnuA9cTa5v8JnDfW6A68GvICfRf0Fa8Z8BvojerW/g +tcTvJv4huAZbRTGEEZz9iBzV6GOxT04ccxL/JeQfie0S8hz2PXwbx92OYt+H +vjdaLyfmH/QF5LwGvor0RN9Jd9O3y+AG8lcQ/zb+G9B/p56DyH0MeyP20Zy3 +ssRv2oq+hfh69I+pySjwa+AufM8jx/EfQ466xN86wH+QrxL/Jr5twdYcXXt9 +k+1lvtUm7sFRbIsL7p3OaEdfTv4c9nbsP2F/Ffwr+mnkMPgl4idir8C/Hv9O +8G3wA+w3sX8JHs/9G/m2GX0gNTuObwNnPImew6cP/QzfngY/X3Rt1QP1Ypl6 +lHONPkP/OvNblFO5b0f37g7flnK3e+BS9F5kWeozdNZVco5F34Z9H/43sJ/W +3fFpAn8LXg2+m5p7enMO/895U22pOdmA3r/ofvSRbyL6kNRcmY39TXJ/jzTn +XAPVYlTm2diObMW2M5q7JeC76JOIb8mZw+Jyt/pNvneYmQK2v/D5F/sO7N+p +v0W/RTVT7cRpcfsUMgX/W9G114xoVsQJceMC8npqzov7l5CZqTkpbl5HFqbu +qXrbiUwF14Cr0S9y5gHwh9xxFbmvIIvAJ6Jza0Y0K5phzfI5ZDr236Jzr8b+ +UeYaqVbiwAvYXwQPBU9STvh4gfevkI337cU+OTX39mDfSPwU3p/kvVOK2KqK +7oV6olnZWPCumcZu2oA+Ap9ybHXkG8xZTdGzpZnV7GqGNEuaac32qejaaIcl +nHeL+GHoQ5HKzD1Rb/TtGfEPPBz9A2LeI/ZvpCzxm/S2ldjziXfQoeg36q0n +wC3g+3nfVTvu04LfrLcPBz8BzjjjqcQz0INvb/Qu1Bn3xWX8l3P3HvzfwP9K +wW8VZztSc0bcESd/iK6haqkZqcM+GlyTeKbbo2dAs6CZrtIsZJ5d7STtJnFY +XNYMbY/uqXorTogb70fX4i3O7yR+f+q3DEPKCp5Rzao4/yO+bdHc1R10l4PR +tdE/Qv8K5VAucXA+eFDRu0L91iz+HM1V7TDtsumZd+kEatrLfY9Fc1E7Ubvx +WWK6y82hZnK3ZeayODIgusfqtXqq3qqmqq042ajdHf2vuYl9cWqR/v8Oid4p +2i2a2T+jd5B2URt4N/hy3ndTz7oKrolqo5lvwrc2feyb+N+kmdPs6c66u3aG +doc4IW78B+0nFTI= + "]]}]}, + {RGBColor[0.4261152375, 0.45590017000000005`, 0.470918195], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNWHts1eUZ/p3DaXt+twOahQnRICs4FLZyKXIxGbQU2iKU0rosTkzmZcAp +d2TDbRQ3d8tgBaUzgKLiVCx2Yi1iMicXhQKlFHTJKjJ12SVuS7Yly+aWdDD3 +PDyPcX98eb/f973f+73fe3ne95zRd69pWp0NguBQJgiGgC7Dx50YFzHfGwVB +Dos3FIIgDYPgKozlGdGrMQrYu5DRHtdbQadifKEsCNalQfAy6JY4CDryQfBX +jJfw3YzRVKY7rsiwnDk5yeWc+38B/+IyyZqF0QH+atAqjM9nRfm9H/Op4D2H +EWM+EvQAxvMlQdAF+oLno/CGEdjPQZ8bMc/inlboWAMZczEOYK8WdB7G9Kzu +5N3js9JxmHUjL89MyYqXZw6Zh++hLaj7WdAjec2P+C18Myltewz0KEYFxlrw +nsEYatrreWcpdMcoo26QsR/zUsy/j3E/xi7YvKNU66/hex3oWozlge7vsw4z +QU+Hsuu2vORSJmV3WmYz1l/EuAXzG0Kdp+4V1rMYiFLv3bi3u0z+PAb+3eC9 +LZTd74KNIqyFGPPxXZ/X90SfpbxB8AwxX7nlUybjjPH2VCSf0p/LMnpfh/XM +hJLLvfqs3kvdcjj7HNb/GelOxlzoeydZ/uQyfd+bEeX3rzLSa6J5KK/C792K +u+ZhVEJWMaNYZ5xXYu1boez3TdApofTbhDGA/Xdwtg1rtaF0OZWXDryLcTf5 +/3So8JyxOdY6jAF91HL2IUY3Q+60VPtjzFPuOXmK/ub8Jtx5H8bbWLuEe6dj +7MG8N697ef98jCW477GM9vk+zumHcr+9nfESKi5mFvSG4aA/w9okjKchYxHW +unmecQ16EGMG5hMivfVLyLWFzHvGEdYTnFtlHGAeUC/mQofX6C/6mn5kPNM2 +7bbPaOBDf15xS95u85MepKwhir8u5zvfyjdTjxM5YRFjexN0GBUqr78NOjpU +Lp8CXWM82oxxfSiceRD0M6EwoQP0xlA+/hpoOcY9mLfkFPfUJy44BwryOe02 +wnl/xL6gHw/n5eMzzlvm7NQSvYU5VZnKV4/DlidS5czvQuEX5c2A/D7QEtw9 +F/RF5kZOdn4vwVnIrAVPVUF2uMb6THQc8izPfRX39hPLMJZifo5Yw7zDfA/u +vg9n38D9DZjPwfrpWHnL/GVuHs7KvrTtAvBUg/aAZz7mVZi/gXkd5rMxP4r5 +M0MUO7RbUyo5T2B/JXTeivevSLRPPvqadYGYwLx7Enuvgmcv6Mux7j0Iug3f +nVjfAjo5L7sxZiiDcUM5vZGw77e4szzW+iSsLce8Bbw1oGsi4eqvY8Uu7fQ5 +rH2QVc4wR2hn2nh4IB/T17+MFH+MA8bA+6F8eTfu2hepbmyAvEbMa7DfF0tf +xilUCt5KJPcB7A/LSW/aZ0pBMt/C+j8g8w7w14P3K5C7E+tbIecI1u6FjPUY +38jqPM8+C77D2NsH+nPwL8dFr4I+je/XsP4M6FMYv8D8p6BfjoQJA5C5IVKN +eRb8/2aMg6ch0VsHjdvMp532+9XuDVj7zuO7Lqt43pGqbrWninXiIzFqwHPW +rxX2+x9BV4fKQ+bgrcR5jAacrwPdjrEgrzo2w7WsAXQhRmNe2LDN+PAQcTcU +9txlW9FmD2Dt5lC9w3dAp4Wq5RtzigfanVjbWip9iT3MTcbSk5FilTE7tKD8 +vb6gmKMvfww6LlUcfBjp3HqfZQ5xzly/xvl4U0E2aLUdnsP5o5DTmShPmePE +ee5TJ/qDeD/WteFh2iMUBn+X+BSqH/kNzlfjLW2RfML8Ye5Qd64vc6wz5oeC +57MF8WzHfK7XmROMV8ZtGgtj9xjfGF8bbas3XYNZL8bHyonziXoXxgLr5Q7q +GKo+HHadYI1oxtqu0P0Z6O2heriJoWoMMWAxfUtfY31cKPxl7BwAvTNUT7kK +9GSo2rISoydUj8De54vuf6hnplS6jsfaXutGH461rVdg7Xiomtn+cV9WKj+2 +e/52LBz4eqqayR6F9szZFrQzca4nq5xsNYYTy4kdlebf47rLtWOQeRL8P4iU +i/3GX+bueduXOHrKWH0y1nx6ojrR7J6tx3y8txc8p1kjEuHxaWP7GNd3xhVx +Yx3W7gmEB+ect2dxthd0ZiKsOuNc5p3V1uGOSL3soUS8Na4XvGeO7zoeS6dp +xuw+1xjWHGIV9WTv0OD+gf1K0T3PokSYuy1SzH7gPrCL9b5E/K9kFfucs4et +y6s/pPyzvoP+eNPx+Ugqnp+AVkWq7dsT6dtr/Sl/oXsVYly9e0jqSnvRVqU4 +sxRrF/C+skS/l/4EOliiWsx37kik58OUH6m/eChRf91kf20p0Vn2P+xl57tP +Zg3vco1h37TA+lwC/38cH+sdl/TNSPc7zL21jnH6a5r7xlkF+WOO38i9Os9b +3bMST95PFA8diXRkrt5ivlr7lHWA68zfC+C7TJ2Mv694nTWeOVAbqfYzJusj +9Q3UYWGkOkZ++q7onrroWJxtezOn2MPQf4yRLvNzr8pxGNtPjA1+V1tP9h+c +3+razTwjD+vAMb+LvWqjsYjx/1/nQDFRHW1JJGue76Idamxb9gjkYZ0lZjM2 +GG/E8fu9Ptw986dBfxgpJiek6l3ZA1MP2nmlbc2eg2dXg3dror5gINTdc/1u +9n+svwlkXgTPR7j3Uqiesdt9IzGD63XGkKBUa9TxqHOe76Tv6Ff2InzXokjx +e9Y5tAry28CzmrnomGfsv5sISy+HimnGdg1rR6QeeWcim/XZbi/F+n38YKT+ +hn3OBKzdnKhHYq/0L/dPrJ/EVmLsYuxXxtKH9qOdPq4h1zHeHEPsWZY6jzZF ++j/gb7FsQvlX+rK8sIL8TWWf/BbfHOl3/99jYdSgcYo5xlzjO1pde+lb4ikx +7lQs7CCGVEeKoxbL3+86znpekihH+2PFHvWhjwYSyR/E27tj/db5XqS4aHZs +MKdH5BUH+2O9i+9bGyn2GKcVzn/m/rV5YQ7zpJgXjnHOOkHsPgEZL8R6L9/N +fpBYQ3/MivR76EfgLSvoP5piKuwmhr8eKweLlkkcGGVfMGbK8/IT19iTc505 +fp1t0mYc70l157WWw3p3yZi2IdV/PFMT5esS+5T9KOe3R4ohxtKHsXpGYih9 +T4wcaZx8PlEu/sG9xQjjI/sb9jmNODssUp/Dfmd3oljalej9tMPsSPlzzvhH +vOXvCvZyLcaH93D2nVgYzjrAOzqNw9SrzfhOPajPlFi6cu+iefgG6kEbUQdi +0fFUd21K1fez/x8H+Y2uiayNG1PZ/PeQ/WfnKfN1puvxmVi1mTG+JNL+Ft9F +PPjIvQX7kMf8G/zdWHHO3p/9CHGYeExcvFzyye/CfmMs85z5Pi9Sz8d3t4HO +dm/MHrneeETMJJZnjOdX/mMw5n8qVk/5Os7+D4lWdvo= + "]], PolygonBox[CompressedData[" +1:eJwtlllsVVUUhk8vtPfucwebiCBGAogDQx2wgECiDGInaSktPCDwAEQmoUwx +iANO+KCFKiAyWCYRpBBABk1EUJHJEjDRhKEKMcYENVETomhkUL/fvw9/zr/O +Xnvtdda0T9eJs2rqElEU7QJtQXU6ih6G5NpE0ZY4iurAUyi8As6zdg5Mho8D +j7H2TiaKPs6PolLkWnhRNopOwrulomg+fBXvPmS9E3JLiKIb2DM9L4rqeTeD +tZ/AFPSXIP8Mz+Si6ApnTwBpeCdwir1d8ambzsfGrch5yJfgb3JGGfL2Ap7w +Rdg/gL33eNeWvXcjn+a8ZuQhyH/EXmtCvxT9Ss4ckLCPq+HtWV+D/kF0BqM/ +jjMLEj5jBfrfg4aUfZJvA0BH1o8jD4Rfx6c8bCfABextB59iey6x3QZ/FxxA +LmPPKPg19P9FjtD/NmOf/vcNe8vgZ6WT7xhvhF9F/zr8H9CCfAG5M7qTkP+C +9+XdVmwPSkbR41mfobN0xjcZ79Fe+bAJXgNKWL+KfAb+Q3Du8onv3/CJ2OjL +2krkCfArwbrySb51B9NZayRffxK714jXPs4+wrt98N9AE/aH8m5y1jWgWhjL +/t/hz/LufuS5fHMx/Dj6X0gfDMfeEeTj8CGgAvkoOkOx3Ybz1iNv5fw5kWPc +lHENqhYVo3Pwy+z/ALmU86eydwPv9uf7m/Xtl1jfCX+E9SlZ15Rqayo+fYR8 +Ofa3KQb90N8CDsLL2TMafhpcybfN9fBD2DvK2mDVDHtPIDfDHwZVyEvR2ZPv +GlYty4ZsqWbOy/eca6ctZ25Av4x3fRLeswx+CnsnkIeBatabsXEHyKq3wKOx +Y6eYHUO3DsznewpBO8kZ95p6sBDdHzPuRfX0RfjetHOnmlJtKSaKTbG+Af2q +jGtNPaPeKY+dG33zYfZ2yLkX1HNFrPXMufcSfE8P+GL1BPt5FdVrf8a1oG/U +typHylV/5YT9F7C5IOEZNCt2DamW7lFNIA8GvRKusSZ0Z+HzKVAIcmBYbN9V +A7tZHxp7r3K+A/lQxrHRGbNZK2LPc+ChpPuoPu3aV03Pybqn1Fs6cxD6XXKe +FZoBneHLs+5dzQzNjpHYr+DbLypf8Gms17J/PPJY9pfE/lbNrD3oz+XsnuAs +8WshRl3g7YL9ld/d4DeDVaxPAh3hvcA5+DSwP+va3YXuV5w3L1hHa7K5AN4H +bCuwjxvgs1trRzYW8RwIapL2syhtW+3xpVfaZ3cHZ/LsQ49gn+Wr3m2EPwGu +4UMjchN8hnoKpLHTm+eTwb5vIi4d4PcF8yTr6+BVoJr9ezX34TcF50957Ay/ +MTjfysFt8PbB8VMc18BHyn/FADwTfIZs65sb4WVgOGu7wdvwWrAD/j7oHfuu +Uc+od2T7abC1wGesVY/JR3T3gOLgmCqW0vmc+M9LuUfzif/G2L2sO/Uu6uPr +2HebZmYx8jH2rgQz2ZPhWQru1XnI5aAa/pZimPI3jQ6OsWL7CXKF7kDlN2Wf ++mqmBsdGNSxbO8GvKdscAL8T/JJyjm9XLYAvtReMCc6ZcqV34xUbsDtpG5Xw +FWB6yjkaEXsWacadJF41wTlQ7GvB5qz/HRYSmy1Z33G66zRDN8MrY89Gzfxm +9o+J/W+hnjmLvCTj2tPMaIBn0/43UX9XEb/y4Jwql5XyJ7iGVDsjU47t8mBf +FOMH4asVE/gtYFRwDSj3ejc8OMfK7QjQELt3ded8l3EulgXbVk76w18Krr2S +pH0qbJ1BI3KezXWts0gzWnec7jrVSKNmU9r/Bvpn6gNfjE69elS2wbrYd53+ +iY5kfSfrbtado7tnUM6x1T+L/l3GxZ4t+qdqSfufSP9G+mdpZm1t7FmsO/cw +a68Hx0SxUE+sgr+qmZFyT5QE14hqQz71gy8MrfM36V58PpirJx+AvxDcq8OS +7t2Xg2OjHq7OecZotiRzrt03gnOnGlatzQzuBdXc4eCYKBaaKZqFLwbb1kxs +gC8J7pWKlGtzaXDuVKNHg3W0phlUGvtuPgY+Iz7/ARRcV6o= + "]]}]}, + {RGBColor[0.4799129124999999, 0.50704019, 0.5170638649999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmnm0VcWVxs998O695957rkxREERBEFAEFcUY6RgQHCMxaBxQpoeYMKpJ +K4gTiFMrw+OpvTSJIqAmIki61W5HFLvtmKE1ZrXKgzh0yzwo+gBl0PT3Y39v +wR+1qk6dqn2qdu3h27tOl7prhk2pSZKka8skaaH603ySLFD5Ti5JntaLZbVJ +0lv1y3q3VGWZyksqT/v5Ffc9ozK3EuPnqH7VfctVqqK1W/XvVBpE+3bR26P2 +Uxr3usb/VvWN+vh49U/U2Izvq79WfWu1rnHqP1T9y1Wuqom1tS6p6N2qLEl6 +6fmJljGmi0qtygbRv0d0j9b4gapf1PMSr7tJY59U+TyJ+gm32cejKgtUGkVj +uuZuUvterWeOytdqLxStf1T9geolKiu1zqcrQffXKo+YL4+Y1rta3/2ae4bq +F9iz1wG922qCZjt9f7r2equeF4vW9Xxf9RMqN6i9RvUzWs9YvW+neplKndpt +Vf+1Jnh4nuoriklSEa3JNcHLSSqDNOb8YvSdpfYk0VuvMjGJ5wnq36F2m1Ks +o6aaJOWWMRcaXTX3atGfoDGfqb1Q9f2ctffInud5rzzXm388z1d5zM+/8r7Z +f0MSdHjHem9oEeu4UjxpozWtU/8pqjurtFSZrOeNSaw9n4v2TSonae6CFsGL +k1rEeXFuR+diHGeHLLDf6SppqvPQXv5X836l83hN3/uh6v9D7lU6qbyh8ef6 +u0u8bva4WGNvEf1tarfIxZwsCXmFT8jbroLkgHkqHZMYA805pgGtTO++Ur2I +/YvmzZq7Re1BKj9WuVDlTJVhfh6scpGfi1nsc4XOao++tUlzp3F2OpcfqR4I +f1pE/wB951TOWGWISn/XzfTqVMaovKM1vK2yTnN2iW5/8aen5G2b6O9W/z+L +V730fKr6j1V9immwxu4qJ6v0Qx40fo7KRtF5QWt4VGWD2j2TWEd/jxvkdV6h +b7UXzfHaU53qMSo/gLf5kGfk+pgkvsc3WunbR6q/dSX4MlpllPlFPZI9tYjv +T/OcM/29stZ1teiO1vtGtVepjFB/D6/rFPN3zEF0pyQhdzxf4+ePSqGnbbWG +w/XcK4n9dXANPc79WL/Dhn0i/p2OvGCfauNc6PvI/dg4xtH+oJwkH6v/8lK8 +p43eLdD3fqH6vUrYvLss689Yt9CjTHsaVxvniL6Os87uKAQt2ti5tbaTU8X3 +K8ST3qqHa+zlKieZB9d6z+hm59rQzxHWP+zGG6K5shDnP9J84l3natAfpfVf +WIl1/Fj1xlKsuYPah1SCZlV1Yzn4cqXeNxSiDX+We0/YiPbmK7LAmPmF0F/2 +W1G5SrTKaej2ZulBN5W+ev+u+NBHtCoqu6x/2Gh0ep7p8K1vitF+1mfUYPr0 +NXjMYo2Z2ayrai8thuz+Te/rVQZrzEfa34ctQg+3F+L5R9bhQQfp9JnWn+sK +oSP/6rkfqwxNQuc+cnurxmwpBF1kmDGjrN/1XhvrZj/bNb6k9ndz4cuGqj5N +5U21D3F7r9ovau0vqFyZhE7QRi+Qw7nWX2jPM310mn7kk3c8n5cLmZrtfur7 +3OYd7bWif4HXc6vaXxdi3NN+P8fjL9YaBoqXJyMTWktWDNnCBg9UuRGd0nfn +aX0v6jmphh0+VLKzqRRn83fJ8PVaT73HbCtFu5v6O1Vi7hbbzN0+L94x5jP1 +/xBbmdtPOimlIRObinFG7+bDjhX0vL4Q54VsMAY5eU31t8U4h1mieYfGn6b6 +Y9H9pfqbsvAPg4xJ8Dkr8vGM/rBXZLtJ+/8P69SOLDBSe+3xeY0bkovznaTv +PVwMrMTYNzwevtE+zLrJuxNqws4Ptt3HB8JP9Pdi9+EbsCPoJpjiRNF5TvWZ +Kk1J1HclIedrLBOfa20Padz2LGwPNgjchG2efJAvPyMXuAK525eE7FHAQP+l +crj21kHjO5ZD15ebVlt9Y1Jt4B7G/t7jp0Df/b/3OzBdvfh8FnYtC1z6B5W3 +VI4T3WPV31v12VpDK5Vv1f9FMb610PPfMr23/AyNrzTmT0lg2DuS+O6dSeCN +a2oDczTjPGzKo+YBz5tLIYudJXfr1f45e1R7ldpT1P6O2rdr3HjRmaW6XSH2 +NlXtSypB/1vJ4CHq/1ltYE3GTayNtcAb2mDE1hozwW3G/rQ2/MTMJNp8h/fj +TQeszr7+mASe/6P59b1S4GTw8unFkOlnLQ+vWyaw3cjJBo19H3uNPojnZ6ie +K3l+CUyKHKo8WBM47ihjueHqu7QYmHKn7QD2Y7XoPICuic4JfKcYcleVIk7R +tzLVe21jsXlgN2w0eje4ZdgsbNJc43PW8Cfv89WD9vmKz+kln/FS9/N8Ui7i +kz2Wv1eTAzHNKx63xPOa8Tv1v6uckAs8B4YfWYy4Ym5NyNo36luRxDpnO5aZ +0CJsGbrxB38f+k+KD8M07kLJ6o5irAEZnVSJuYeUAk98NwksBdbHv83AR5TC +vmHnkHdiNnQfDEx8AO79vvg7X/x5J4uYY6pjGepp4FpiBPUPz4fsfOAYZ08a +tgTbBM06x2fQ/SwJf3OL6hH5iCWaz7yN7Qa2v2T7z7mW1X4gibmp+xdpbs9c +YBL8HXjzB9ZP4gRiDezDfD+ja8QbxBkfa521mj9XPJiVD9tLjNi3eMCGrXEM +tS+NmApd2ZsG79jzTMvA4bk4L860Qy5i1feMu3Zr/N8qoac/UX2bzwAa2OYv +ktgvPK5X6VwT+gc/mT8yHzy6O4kYZ4TjHOKAzN86pxI47FzVx+WCV9C8oBL4 +eKjq47OgNU11t1zEgsQ4k8qx7yPEh+ONeeDziZZt6Hf1ueGD8D+so7We+9k2 +svfu9qObLVO08ac7k6BJzDJUfWdr7vXIchbtw7PIGRyTi9ic2BAewR94cIX5 +gIzf2jLiA2K4vOVzhNdzt892hm0Ye2QMsd5mlYLbfIf2zUnE+62NE5CjomXy +OMshPoj30McWvWBM8iW6k8R46EwpxjqRCWIgcAmYpLttEvwEO3T2ed+m9zPy +EZdv0tlU1d5Yib6Z7m+oDX51Aa+r7yZkFL+fi/mc35ei36MYsnCGcwX32f8z +B7v0eTHWwTmQR6n6vHq4b5Fl+MZ8yDFrgD5xJTEHayMuxD5srw0bcYPGtc8F +Nj69EGtkLtgKXSLOBTMTu3Ke9N3u/tWV8EMXq36/Er5nmOouorNBY25Q6eU9 +IXvMm2XdJJfS199GVg/zGroWYr/wh/pG7x3MPcN76ZELWsjYqkr4totUDxG/ +Hkf3nAvC5oCBieE5L+LBvv42dq+75WeLZeNIyw+ygEwgP9dYPoj7dug7O20D +78sHHda/vhK5qg2VwEL1tlMfVsKff5MGT6baxs7Ox/xONYEf5lre77V9xk4P +Mf7abnlH7m/2OmgTa91cDFrQmW9chr8+w/xE5uudT0J/jzUf1tlmY3/32+Ta +2Bv7Iv7jubv3S7ub9X6n5Z+1z7af7VGIZ9rEmrXOIXQyj+DPGp8L53Ot7f41 +Pkd4jSxdpnfrNeaUasjhpnxgEbAG2Alciswus9zKNO2Pt4kLiYfQUWIlci3E +3uRkWmnQXPVPqUTsgu8l1uhaCp38hfo/KQQ9MDM2cG9N4MPR4u0Alfqa4NtR +1veVxcBGYKG/5CMOABNep75RKntqQoeggx79g2nMU5F53p8vYN0Vr5PnNoXA +luC6VoXAdbOss+jrAJ//TT53bGfe9nPrQXLR3/ETcVy1EHgP7AdGON9+argY +s1nr3ppFPneJSpoEn4a0jO99dpDsk3/Bx91mG44/wyY/VI6c6cPl2Bt7xKae +ozHfaxl+gT00WBdud41uLLMP2mT7+Yx92O22Deg1vLjf8wc6f7tNax6LT1d5 +QM8rNe5+ktaq/65N/Fxru0xje9tvIv+8f9Bj1hWCJufVUHOAxiDTa/A+59re +jcmH/F/uPddbT9kn+A7bssdnix+5T99eqrGzVTelkUdpTIMfDZarQfZT+F/0 +5SrnZ8gV0n4Ku6V1poXIhc3wN1kTfayF/BnnPNAyzzqHW0+ZW+cczldpYKgP +08gfQG8gclKJuTulB8NLkYdapXOsFEMPkAd88Ujjua7WR2wxOQTiN2KxjrYr +2JrerrEPfWzX8UfY4UPti4mXiF3BjvPygUvAWOTSiInwRcSNxI/YMGLewdY7 +YjtynuR1p9q3YMOR2YktI+d3Ti7id/Kyr+Ui3uPc92hfu8kPYC8kQ4M197As +sDmY58+qz89FjMr+sAe9bRNYC+PB7JztEr9DFmZarsGKrIe9IEf3W67erYQN +fSkLnhH/Ei/0r8Z+iQW/1rqOK8ZaWB8168F+YI+wIcQZez0XHelhm9k/Cyyx +MwsaYALwAPmccfnI7Yx1Lhz9Ivc/wfl/8gC19ndgQtpgsAnl8L1ttba1+bgH +4q4FuYQm+T9qvjHK+I155P0Gmi405zgXRB4IGcEH4d/Rmybfs5Bzutrr7O41 +YuOOtI7gp9BjcBcYeF+LwKPIHb5iXT7uhBjf0ns5z218/c5i4A/4gmzhk9rb +P0IDee1he3OzbQ02q9n23GFb0SkLu3ZEFvghs2w32zXmYCfQQ3RwuNvo6gbH +AcgGuZPn7dNbWFbxV6c7zqZ/LvKp53mq9+QjD4iOH10KOzU7C7rYAnS8UI08 +5IXV0G/6+9nmk//E7pNHhA75w3w5Ympi6735+Ab0ySG0ss/Y7X5iMPIwbeyT +sCsl2xHOjVwkMsA3S17PmFLIyxH6zuhSyF+ncpwVZ7bGurLB+rLI50g/eSBy +K8SX3LOAGcCh3I8QV6zOBf4Cv4JVTpKhmpaGL6Se6jZy1Gj/Ap1Fpo/OsXdk +IXNuoVFrPLkcvOpXDuw/3Pj/Z6L3eho6Wqf639LA6eQwyN9hy8ep7+U0ZI3n +FY6nxqjv+TTyTC+oHqvSRF5E9fg07BE4gbgAXU+zsHHksbba92IzX9PYFWnk +on6axjPtV1VfrbKrGLmTjcaWfP+1g2LMFW6P0th/SSOG2Ggcga49q77RKtvV +P1L179K436Ne7vZ66zd6fqX6nnaOHUwC7kB3XlLfi2nkLdj3c977FaqHp5FH +Pbsc57BBe12aC3tBfviqNOYzF7nYaJ3ZaDlhX/ieTY5ryGVyV8OdDXn0k/08 +xH3kRh52vEzcTN69n8eRc/ratukrt5tz0V85X73Lbfq5/9rq3Dv1Nucm0JFt +7ifvdEsxcipj7J/xs7Txu/hgcjbkbrgT+u8sxi/TWZerkYuvVCMPe2pyIL/T +03P4BvS4R3g7C94UypEP2+s89h63yY9R73E/93rXO8+/2/3YRuKA3W4Pdhs/ ++59ZjH+0FDpBPIwukKcBF17r9bAv1sQ9GvccrO0eneEAldaac6/qwWnk84hj +nrN9A6Ptcw7sbr2/Mw1cxtluNubf7LPGDy2wD0L3sfXYCvAEfWvdf2QpcPad +WeQj19pnUT51nHiJ+PWy6qNKsfatPhf8O2vBJ5BrBTeDcZFP5KAZlzUVAqch +F7ssJ9jV7baBz5VDLu4tx13bzsKBu5GdliXqHW7f45zpP2WBgfF/xKHNd5nc +FzGuyWto8lzWcKZ4NiiN/NZE50DBP/yD8K7xOs/0kxd9Jouc7HLVv8kiR/lb +1QvzYVvhITXPxNn4n4Xub1eJ/wH4L2BBFjncx7LIgbVz3ILPwHfgB+EdPMQv +Yr8X2/bSB3/JJ473GNoLs/hfYVEWeJj7PPi9znabs0avuavgHuM0363kpC9D +q2Hvs3Lk5sgtfZpGTDrH8XnPQvxrAt4Ee3JnAv7k7qLsZ+5xwaAflmJPxHWT +jcXBO9yVQIOcDPkYsMx0+5E6r4v19bQ/A5uRWyJOAOdwP8m+iIsnmlfkH+u9 +vnn2b5zBFuOyLsYzDR6D7GKDWc9I+4fRSdzTHmM9YS56A15Hd4ibOzh2BjOT +g2j2vbSxq9M9Hvt6renV2a6P8jfI6xxivSCmh7/wdrLXwrhFPmv2Du/ADORb +yQ+1NX6Ar/CXnAjv23oM/Ghtnkz0XLAXeZ3WxiTcgcH7v2QRO3Y1Xm1tXhFP +dSxFLDlRYzuVIpYkJzrHayZHcZ3mv4f9L4cdrTcOqbeM0Oauj7WyztWFwLuj +fDf7ke9eec844v/3itFmPHEZ40Z7PBiJNjKNHDxlHM6dOlgc+UMOuRu8yLms +RZXIqcG7xyuRw0EHkbvJ5iO49CfORT9JbrsYth4Ze1I6cGkadzYbnVchv0JM +TixKHHq83i9K4+6ZmJ84Ct+xybYDvwB2G+eYq28W7Ztcg1UaHRO8bQzP/miz +x9NF+/E07ksvU/2bNHIni1VfksbdEmPf8dx5zh8QR5/t+I04aKhzCWAk9A99 +QBcOc1xBTME/Qkc6XiBG5N8I7jPHZIFx67I4W+busd7NN50v0sDsq9KIR+c1 +j6mJWIU1jbY9bv43ZJh1Hr2sN51hzn8+Rg6gFLm5P2fB4z7m8+H+b4N/1haU +4szezEIObrAPGlCI/Bd+kHqAc7LoNc/gH2KcNxznwCtiTeLcc92Pb2pwDMpZ +c0cOjl6dhY8nl0U8Bf8rtkt1vq8jdoXX8Jy5jZpzD3i3FOd5l8+0nUrbYvxD +s8o8nF+JXAN+9Vl9s8F3Gdxp3OpcM+dFHN2xGLH0MtEfw78UWcRpxGvkiskZ +k9cmzsK3j3YeDR/Hvx34uXVpYNtfZ5GbJDdO/oGcDLk4ZAp5hz78GOacGff4 +jc7PPESu3nE08TR5zj6O706uBuaoK8X58R8Ac782PgQzovf0Ywe4ZzjOvIXO +8d7vYW7vv/Ny/o083JdZ3ON/kUWcy1xyVrR7e3xzboV+4pVO5iP/8PSyf+H/ +IP7Pm2CMS+72mCQwMXWPJPIS5M043yVZ8OepLM6Q/8bAHOBk2uA67mgvdUzT +pRQyDoa6W3O+r/67nD8h70DOoU8p/DwYf04W3+pWirPhjH6ZRc6YudjhNpYf +cOPlzjeDm5Gntl4P/1mAJcGH/A9Cfop8L/+g4cvJJ5EHpj91nTmHtdJzGA+W +QYbBNi9mIavo/RDjJmwesfVY5wHBtO0s2/xHwX8VzfSqpo8Pmmi/09b6wF56 +O5/KGHLsnBFxHDKELA2uBmZsNG48ohJ4eH0a37vQPpUYq+w4a7DlcGwpnvnH +ibvvWvtB1sD92NH2idwXgCeJ78C2+5wzaesxxMVgYnADsRv+kRiG+AX6Jcdr +0Ozm8anXw/9O33gMa0Bfm4oH9JU4El0sO05kPLS+cY4D7DbLcT35rt3FA3K0 +y7kaMF9P863gdYJtuCvo4TVzP0IuBXuGrV/mdXLnNsM4lv8EUq+haJrgk3be +F/wpmcfsBV3Gl6PjLdNo49Op33c/d27cse2/d6tG/8JS5JX6WN/Ja31cDL/f +rxrtv5bC7h5rP9XBeQ7W3dn97IWYmNgDzEmcsdT2HLvfz9+Fr/x/xr7AbawH +n9XKY761bR9nX8za+tqmkbsiX4mNxWeeYj+SeQw5VeKNp7wG8NCJHk/80eT4 +hX+dNvlMqx7DGsCXJ5hOk7H8Eu9piWl29nfhw2Ol4PXZ1fhPaprlkH+VrywG +ViLOOdFxJGe+xrEtNhcbARZiXv9iYFpibO5WOrl/qmkSC+E7p9m/c7+Dj4dP +4Dyw9Tru4NT/ntZ1RxZjOpfinxTWQS7y1VLgDP7DJdZkPLESdhZ7w/3O/5QC +J4GbsHXYVnSbOzrWv93+6gTTJF64wPjntiz2cmt24L9S7onIF/KP2qdqP0oe +UGMeyQI/0sZmv2F8gMyQH+CfLb7ZyzTgy+NZ8HZxFvxbZx5i49rbZzTjvNPA +3WqfpvEzs8iR80/hPusa/WBu4nvymOxrjb/LGZFL546NfB1zybO/aTk/1+sk +z/NgMfA4OrHAMVor4xtw4Ce2xdBZbfs5wjwh788/e/3t65p5hm/gzo15zMcm +I0ND7KPx12fZt55qvpKPxZY3OqcBLpjuuG9zFutcU4r3q23DR9hvYbe5M0F2 +z7JesccbzXvWwr3fSu/rW/uskuWGnCuxCXmEjh7LPeaWLOI5cvP/D0SOOJ8= + + "]], PolygonBox[CompressedData[" +1:eJwtl3mUl2MUx99mftP83vf3PkNHRE1DlJKyhEGFIjuhg9R0apqKSo1TmcmW +tU1NE2WLQ6U9JbsSisNf1tBooRxq2shSWSJ8vn3745733ucuz32e525vi4rb +elTmRVG0C8gAHUMU1bLQORtFY8GXxVFUDMyGt5u1jUkUPc53e8Mo6gX/XXgj +gI/g/8H6a+DNgWXQv0KXgN8Sm/cOa0vRHwNei/556K+ILSPeXtaPzEXRPew/ +EXw9/AZF+IHsGDkJPg7ZZsB0yK2FUdQE+fvybPOTYF7f2L5KZngaRQ3zUcXG +DvCzkLkD/Gn4m/HlB2RHIVfG2mh421gbj3wjLqMp8udifxD0APYoh/ck9Dx4 +84GnwEuQqQKfisyP8DtjowZb92B/CfQ6ZL6Df2QBfiA7Gf50+CsbRFEL+GuB +R5HdwlpPeJcgv6GB17ZCB+iG6N8L3J7zW/SPfbd6k+2pz3YU9gvB+2FvS8Y+ +yteXkT0faIX8z8Bn2HwU+RLO8yn4OcAD0HPg7Uj8dgNjv4XecAj8o7G9BLqQ ++9+V+Kz/AM3Zry1wNvyZ0DXsNwf5PsheCZQi2wP6M+xXQ8+Enoftm4D3FCuc +80RsrgXPsDYL/gd8y4AdrP0rn9B/jO8YZIfkHDOKnQtYmwh+DfsPYv+bgWvB +F7HWD94IYBX466ytKfAZyrD/YbAvWzn/FOgy6DvxfQZrv8lX5H9Bti33dzL7 +1bM2Dd5A5Psj/2uw7DD4X0Jvg96Ib/X4tB18H3A3+IPI7wW/mbO8DfzFXf6O +3jbsB/gF7Hkr+KrEsT6btW7IT2FtaYF9OOgLa09l7aN8vQ/5ffD2AmvgT4Cu +hH8q/pyJvyNZa4FsZ3JjIPI/ASfgy07s7wZfFxzbHZB5B9087r8x9CPQP+n9 +cz7rMs5UDF2cc+y/CN0Mugb7S9i7HWuTwP8Ljh3lrHK3FTLvQ1cAL8LrovvT +3UEv1VnQ6cBdVGBjhmIXKAFP8SFBd0mwbEfo6sRr4pXpjuC9AJSDnwccC28h ++qvRz+d8m8AbAcdCV3OeAP5xcC4W40MB/p3CW9wOvMJ5nkPmJfgD4F8InIC9 +a7iPDrFzrjv4cmwMz3NMz1XuQLfE/97sMQ38ALKjoSuhv4FOpIPsCiAHXoXN +PdjqC70A/beC3042VoD/jX4V+FDW1qWOgYOxoBoJvl/+wh8Mvw7+v9C3gXfA +5jmc59Ii5458+Bb+dalz4Xj0q9HvBEzNc04sBv8H2WpkhyGzAdlq6Pax72I5 +EONvLuOY+xn5PcG1UjVWtVZ3qrvVmx0G3hTdiUAjZOqJubTIZ+/DHt+zvgCZ +K/L8RovAt6jGZVxTv2Kvual90R3MAV+veIZXiUwptmbkXGt1h7rLLthcDuxh +j5OA+anvXmeaB95VvSR2rp0MvJs41rVnzN67E8e6anYr6AuQfRX4BdnWwMLg +t1IPVC8coloFHMD+X6yPjn1nuivFSE1w7CjGFeuD8fdW1i8WgDdl7VLeszv0 +FdBNoLtBD4f+Gl+6sdYtYx3pSke6tZzp8MQ5oFy4DJ1idC9PHXvKoT348Xxw +bihGFas9gaH53uNoeN1T51oX9efYOavcVY2pBd8Q3FvnIr8R/BigKt8+N1M/ +RWZkxj1xO74MwMab6ueR36AZ/h6TsUw9/GXBuT8dm13BeyPbB9iZdU0fF5y7 +iknFpnqEekVf9msfXBNVG2vwbxj4s6z1yjomFZuT2W8tcbYf+XJ4VwPD8izz +HPhhiXV1p7pb1WjVavWok1Lfue5eNeLw1D1VvbWHejq8NqyVwivHhzXQk+A/ +kfGeI4LPpLNdxH5TwFsmxlVDVEsqlNN6b+5nU+wZSbOSetgGZBew1hrolHUP +fCQcunvq0SnwewGb2W8TUMfeDwf3urfg3wB9Y+weqd646lCOK9el8zX8Walr +hWaamco3ZFtqL9YWQ5er9gH7Isf886lrj2rMbPBXc44Vnfm1nO9Yd60z9Qcv +STwbqgarFk8NrlWaWTS7DMX2+7FzZT9wk+KnwDGp2Hwjds4p134DnkZ/Avut +wv4z4GcVuZcO4o7PLHKPVq8uYG0z+p3RnRB79lPN+Rb+XfnuYY3hNw/OFcWw +Ylk9UL1QPbBj4jfV225G9wzst8u516unqrfWJt5LM4Vmi9nQdVnPKJpVvkis +qxqvWq+77Bd7ttKdzgS/CDhV843WkO+Kreux2QZfPg+eDTQDrgmuLYOBP7Ou +MeNj11TV0sKsZzrNdt/j43p8XR27xqm2SUcxpljTHqXIroxdI1Ub92Xd6zrF +tnWw5+FPVdYzmWYz+STfFPO/J54VJwGnZT0zFuY8K2rm3xncQ9VLVaMb5lzj +Vetl8wPNfol91cyl2esI6LENPBPdHzwDaxbWDFSfeubV7KsZqy7xjKdZr1Q9 +B96PwbOLbOwKnjE1a6oH3oj+C6ljWz1GvWYUMK3AM5BmoauCY6unZjjs18ee +XRWT/8WuyarN0jles61mujy/eesi91j1WtW4pqrtOc9C58J/ENv3Bvuqfwr9 +W9Tp/yTrGWky+z8QLKsZW7N2u+B/Dc1smt3OyHl2U44qV3vGnpE1G69mrXni +WUz/QA+hezG8+bF5p+t/KXWvVA5sSnxGnbW35m3kZwXjqpGqlZWpe4v+ifRv +pFpeETsXVdM1qw6KHTuaWS+Mvaf2Ukwfl/jfRf8Qk/QvFVy7lcNbD9W2ObFr +k2rctTnXVt2p7lY1TLXsfJ1fs1fiXNc/Swn3PT6Yp38o/UupBqoW6h+qt/pl +7BxTbilG/weEbuv6 + "]]}]}, + {RGBColor[0.539107115, 0.56238831, 0.5664840724999999], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmXmQVcUVxt9j5t335r7XoEFRhkXQSIRUrFLQGFdSFY2iuEUWSxOMUAqi +sppKAgUu7IuRGBa1IAFNYVzhHyMgimiMazQOahRZJG6AgDMMqEnAnB/fZyV/ +3Olz+/U9ffr0Od/5uqf7taMuv7lNoVC4Pf7URXt2/Okf8s5ioTA85DXxbIz+ +YdGujmeo+56K5+wYc2RZMmObSvqN/mejXR/PxJBH1el9Qsij3U/f9HhejOfm +6D8pKxReCPmmkJtD5zMhjyuqXRfPLSG/Fu2r8cytU/9cj+lZ0m93xtOxrPE3 +xjMjnpc8T/eS+m+K57Oi5h0V7SWZdKG/xXZjM7b81fZMtTzFD7/dGP2Xhs7x +2BL+eTcVCt+qD39UC4WZdZLRPyfk9iGPCXlBJdZfr2+OyguFxdH3fnz3POuI +5454H1SWvfikd4xtjGdm6J8YfR3qNWZCyEfWy87XkuSjYt6x0f9cPLcXpQ+9 +Y71nq5Cjv7WoMXe4fd4yvpppnzSGrhkx52lVzX/ot4J8OcNjZtdpbayrT4zp +FM+sGPNKnX6j/7QknbdF2y509cV3se63o/11jH8w2nKdYo54mxP+OT3T+654 +Pyfa0dEeHd8sYc9CzxfRdiP+iorHRfWy9eua+h+LsYtirmsihhdGe0tVetpG +e27oPz/G9yEWY+8uirY5xl0b3+6LdkF8e1G9ZHzY3mNZS2O0neK5P+bqWKe1 +YCO+7+yY2RT2bQ37BzoWettXx0TbxX7G/8grQ88Pw55B9fp9f1H+WBHty3Xy +I/Pu9jvyrDrJ+OScTD7ElwNr8sOcquL6pf/bI75hX3b6+9Huf8W/jS4pp+YX +lE/I44vae/x6sEH2drXNHWwvayHXRmbKqZay8vbJeLrZrn1FtQ9anlpWnn4z +z2uel9iZbTsvrNeegBVj6oQXzDvamIE8Kfx20DYx/w2Z9oV5B2Sac3lJ+XlJ +PJNi3uHRv6OodkSmeL6rInlHG+Xc9e6nHW6Zb3jfHu0/Iz4mx7jLwzeXZsIO +cKNX0rw92ffQ9RV5WRCeYFtztJ3jt3nx2y9Cx7Syvgevjo/+y0LenavvMveD +SejHV3+s6Dfm6hHyyNDTGM8D8e2GWN+TNeXNikzYfVE8mzNh1IZo38qUP6zp +evvhttD7eci3RnuPv2GN66JvVybM2G35rOjfkim2F9sf+Gu7Y5MYJa5Wx7pW +lbXmC6O/Uqe1g5fMiT0j7Ft8vjbevywql180LoN7xCoy8TDL2IC8y/kwO+Sn +Mr0jk4vnOB9XOybB/72uPcTSguibH8+6ovbod5nmBxOnGM+nGt8PxX34dn+M ++VmSn/bYV+DfdONhFnFwIORStD1KqhHoIEYaIhYvjnnOir0ph1zIFcMTjBWb +rY95G3L5eHFSbRjnmkKMj3HMr3cu8G1zJpvYQ/BwrDG/U3x/XvR3TNIx1nry +XDW5bdjSLp4uYWuqad+xjb0/Jcm2SUk4d8BYt7oifyLPICfi+TO+yvQ+J/qn +ZXpfGf0LM/mW+EdeZJ8/59/oZx/Yj3neh4Ueg8zeMKZdSTKxsd/zMRfrmmj8 +If8P2j87kuRyVbi7s40w8F7iOtY4oY3snB7PE9E/1+/Y3KMsmf6ZXtcTtme+ +42Rfpj0j/g/UVAMezhWnzEV8ktdgHHnL3oOF44wB5AW50BJyU1kYuzfkKSFv +sn72k5h4v6h4W1CQLnSCAxs8/nBjJ/1gRUNFOtFDu8HyFdGuzVQLW5yb5AXt +asuMf9P24GN8vdK2oafFGPSm1zI42ivLip0rk+JzYy5bptkesGqa/XByPJPL +4ndg0/ll5TM5BNcBQ+Y7ZtY57xlzs9sLLC+OeOhXlo5+7ke+uCQMYY/o4zf2 +HN2Drf9Ky8RAa73ekfHNsrKwBEyiToBLtJMtk8vs5RLjxCrjw9KyvsVXfM/7 +CsfqUvef9I3OonJotbGRmoTdTxfFByc651e5fhIn8IK+FcU4nOV68DHsmJHE +N86Kdkn83uo4IX72O4Zo9zlWN1smrsA6Ygs+PytJf7fYux+H/uucM+w3Y9BJ +XFUq2ntigZjY5Nj83PPSNlue4jHEJ3btdf8xufLp4aS+Vo+5I95PD/1dcvW3 +eDzcrFdF/GxMyB3K4inUjhMrwt47k/L8R9HeGs/3o7996BlfL51w0+NyxdSK +JDw+oaK6xFqaHNtwGzgZeMJ+LnU80Ef9uN0+Y+x47xdzsWecezj/jDCfGW7u +xDkDbnST+UlH59qvwo7+0Q6rKY6meE/Yc2KMfUdfB+tkzbwPd/7NtX746Re2 +bUdNHHpZrPXRJFztm4Rh4Bp+B++xFZ3scx9zdXzZ2+eLo5N8PSj0DUoa91bo +bKgTJ2auliROcFW0Q6KvX71ifp35AnF1sKb+3+aydbj7ia3rzPEuCIzuH2MW +xZimXGfL5iQ+O8TnAnxwpPd9W002zM/Fc+H9fMPZZJzPJ/Aq6skjSXlCvsAN +4CBwSjjAztBzQcjzcvEFZHgL9oLnrIXcanSdhb81ug6+lMSjfpK0TxXzijNd +L6dFe0amswv70cf5+g2HR8aefyXF/0+T4qvBtfu4JKyBY36UlJPnVbVWYmWo +dYIF6CL2GYNfb0/yw8iquPR482ns3eBcY63YxXq3VlUTt1QVdxeap5ETDc73 +d3LFy1HG+FH15i/GVjAZ7jmwrHM/nHRAWbwUn+E7fEjfQPfDaZu/qTsl/dbX +HPAL88CB9fInOsBA8I8c5UyAv/A5tkwwH1pk/gC/AKuwH4ya5vinpmFLs79l +bYyjloG3Lcbcpkz9m5yPza53zR5z6D7B3AceAn+gvlJbmWeGORB2glt7naf9 +zdGW59qHr+D7VdUTzrWcWckF1g73A1+oBWDVEebRH+filZ3iuw9zYfyB0NOv +qhrSGPL0JN8NqCqGkfEhtZA9Y7+oAWA3mEPtu8J1Co5PXpNT4O7RmdbwF+cJ +Z+hjvB/sRcE4Bp6Rq0OMA5OT9mZEVXVni2vQHtcU5m3nPDks2n8n/c5dyO9D +Hh52Dgv5i6Q1staPGnTm+WX01eeqDVfXpIP7AvKN3IX7YwNxiJ6+Xtcw505f +Y+OcaHcm3cV8hi1JnG9qUpwOcDxvjvcm6m2uOwvOGIdH39u5cAyMXJ4UB7fk +OnNzhoHXUG+oO9/OVRup09S1T6P/7pA/Sf+rx/B/sHmN6wc8ZZD5yfeS8ubU +XOsaWNHauJeYWREebEyS37O9+Bw+z3mBuyzOP/iU7y6KMWsq4vRgGmeFc83D +T8x1P3JXjHkx1/1C+5D/Di5F/xvYXBMPu60mLAaTW0Penuueh/sesGq1OdIH +8d3WirC4T1u9n9JW+AUmgo1tYn/fiP7XK/I/mMKa1xgj2EfuHLCBGCzE9w+E +XIx2V66zcZu25lcV1dxnkvL0T0nnmDVe7ydV8b9Pq/LTZvuKc9sLrsfM29cc +iTgmnrfDU6gvYc+wpPoOloEJrfF+X+jfF233XHc6s0NemnTm4uxFTpKPM5Pm +/6gk/gzHnGRuDK7fbV/9PFeN/jiJAx86Y+CrXDxmf/SfGmveFuPfzbXubV47 +3+Nzak3yWe/wmu4luZP6Or69Jlfd/0FV9Yw68UpSXQcHPk+6S6LW9opv/5Z0 +5/J60nkYfvmfaK9Oiu8vk3gYNemZXPO/bhvAGWRwkrpLHbqqqpwcaz/DFajB +51c19g2PXxv900P+R9KdGvcPW5Jih3ynloE/cG7ul+ATYGkxxnRtKz1Dc9VR +auVvfD+z1rUGrgPnGRxt51y1s0tV3BoMfTT6doe8MPTsAvPiWR82/CHpbol+ +MHtDrrukD6N/T9JZnjM9d6vcsXIOfy9XHeXMBJ4N9j3ONt8pUf+35KprnMWp +1Tu9xs3RfxxcsKazPXnbJcnP5A8+49xDboL3z2biZMQx98LcUe5Nug/Fr0NC +39ia4nkcsZGJI8FpOuXiVZ1j7B7/9nlNd0zk5jJyIekc/WDS3Qc59moSxo/3 +nsJHwIRD9yWZ6jFYCR9p8jniIWMvGAwf2VYS7nFe2m5sxN+sB/yCE7Jf8JL7 +kvDw3iTuDU8EP6fYNmz8LNby3ejvGrYP9R0vd73UPWyh9v0wiUM8nnQOnef4 +6FlT7YCfgpGc19b6/HuP78rm+lt08D+IXiXdZ37doPbjBnEbvuUeBttHewzn +956WWXer7yjOqAnHz4z2kVxcCI55WE3rfsdr4lvO2uwJOAnWdKnJhp25cyWT +LmKe+xTuJcEv9p39p+508bf8fpjHFGqS783VdnZ/Q6Zx5A7xyP9UwJyLfc/K +Gi/w+Ru+0ddng42+u+NcRY0mXsEF8GGZ7yhWmgPiL/TscgyTS2PNoehf53ig +/+UkTgW34uy5wXH1WBIfPD6X7qc8F5ylm3UNd55gI+1665zntcCrmsyf4Wo3 +mEdSR1gvMcEY4gWZ2ADXuU8jPi7x/TM2Lykpvu/12PP8LWfN/eYt8EXOnNxl +gWX7zTPhpNgBF4WrN9meZ82xD/Fh802+hbc1+B3safU5kfvJ75T0/yz4CvF/ +T+Ru26S742KuGkgtIv/gnfBPMIE5mRsb2N/zffdCLWIcv3HPw7fop67xzv3J +EmMm2Mm9S6v9c7/Pls01nVc4r3Nm2V3TvLui/SCeLOStNa0LXso3+LjJd9Z7 +a+pvMTdZYgwkP/kdDIHDNTm3qA/EMTEM5mXm7I+bi/N/pMaafPVJ9B2ba6/g +2qypt9dFnCx3rMBH2nsNJ5Tka/g6vKCD73c4p1HHuZOEb/TwXlAHBroWUOtO +tg+5y2c9h/ycNO/TuXLu2JL+F/BQLu7LfSR3K5z1u+b63w738tydf5rLpk41 +8Zbu/haeO9I8GX4J57o/iU8TD8x7RE1zbYrf/wvbNxxp + "]], PolygonBox[CompressedData[" +1:eJwllmlsVVUUhU/L4/F63z1lRujAUBABIxpBDCiDiagoJEBiRcGAYJwVCJgY +MQwqAsoYFRksKmBQZPCXJhrRSIyIE0YgAgKlkZkWCgVHit/K+rGTtc7eZ7j7 +7L3O7TJx8uhnCkMI67AM1pCGMBxQ1ISxJIRXYgil4ErG5oFvwz+yaQgbsPng +fcTU5EL4DIvFIayFNyN+GPGn8S9lzlB8fRkbCv4ZmwnvCB8EfoP4e4htmw3h +LPFVjA0sCOFr+BrwnfkQ7sp4jd7EXs/Y4/iWwnfDW2JPE38N5ylJfSadbRk2 +AN864kv4wN3w9eCbOOMR5j7K/mPgxxPP7Y51YO4qeAtwc+wKe0+EV+c8py9z +/2JOPfvPYf6f4GLmDGL/cs0BnygKoRexM+AZ5v5HzCXiq4j5FzwD653zN+hb +jhPfA17ENxYS/xxj3XM+83XgY/jf5F56sV45699AzBpwFTYb/hG8A2e5m/mN +8GLO+DnzLzOW5fw78Zc19TcF/K3gz3KWCngb+JzUa33Mee4Hj8c/gb136Y5Y +a2zedzmY9b7Btxy7WOgaqSF+UuLYQs55O/GXo3Ojb24En0589p5YGfGvqYaI +70TMYHB71m/HWqsZa4C3g7eGr4cH1qtn7GFi61jvPPg33XcT11y/Yt+R7qoI +/0p8BxN/WxesNftdpXohfiq8PfgA/qnwRuwU/DDzT2acU+X2b8Za4mtgvX/A +v0ffXTX8YHSOlKsBWDF8B7YG/x74d+Dvo7HW2AnehC0jX8sZ2wxeyh6n4H3g +RfAn2X8a+5dgpfgK+ab3c74j3VUJMdvAdxBfCn6C+CnELifmNLyg2LlayH79 +4U/hn661sLLEOVAuumKH4FPwP6/7ZL0d8ALmjIB3Zv5WeGdsCOvdx1hl3j2q +XtXYq+Cjqr+ce2Cc9k+ci4WMVcMXRGtFGXPmq76x13PuYfVyL86zIuM77Qne +nDi2LWM/Ers2ulfVU++BH8Cm43+LNerAtdFYGiQt+pb54zP+Jn2belq9rT1P +RH+DvkU114XY4Yw9Rv4r4avVX1hf/I8wZy/+lcQvKnQPrABfiD7bDPyH8S+M +vsuvOF9X+Fb4Cvh2+BZw6+jc7iW+FXhM6tpTD1+hRz5gbF7We2wAj0utFfXw +seCO2LXwxapP1j8cXXu/4j8EfjdaG/UN74B/iO51afQm4suja0U1VwZeIg3l +/H3wL1Ztp9Yq9UQL8Lno3pLmngWfxCZn3CP7pYXwW7LW9FPEX4G3wr8AfhL/ +udTanYOfAc9VDcA/Yb1O+Kel1mLVcAV8NDmd1cQ9Mwpcir8H/rmMHcPfNnWt +qsfV65eitVFzauClecfOJ58l4LeV45w18yj57Zh4b+X4ZXx/RL8V6jn1njRI +WqQcn0n8ZuntkmZKO/ckrgXl7KhyT3w26zdKb1V/9uyTsYZLy4PeO8Wy3nZi +m+WtLXrjftL7kLd2DsGa6y3LW6tVs6pdaaC0cBbxv4B3RWNporRRNaHa0BmO +SK+jcy/NeDH6TdXbuoA5B8D7o7E0VFq6LbHW3Kg7wndr6lrSmQemPrPO3gA/ +nncPq5d1583BD0ZroXpevS+NldZKM4YRPzO6N1Qzs6LfUL2lutMTxG5JrC0j +sID/PP72Wb+ReisPsUZNU2twNbg+9b+HYi6AG4t819KMytQ9od4Yhf/q6B5T +r92rNfVWpN5Lb9QkcF3i2JFYN/z9sBfw38z+s/WeqB9z/ofQv4Q0VFo6gLGX +wB9inxa4pjeCuyXuffX8IvV74rWkydLm8sRzpcHS4pbRd683eiO+LxP3onpo +X/SZdDZpfm3iO9Jd6UxfwGv5hjZZ/yPoX0E9pl7TWJ3+N/K+O+VQuVwVrW3q +CfVGed5vgTTuIdbrGZ2rzvAKfBej317lRLkpy/stUo1PIP5M9FsjDZYW643X +W69/Iv0b/Q8iBUUm + "]]}]}, + {RGBColor[0.609232745, 0.62626053, 0.6225373175], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFl1uMX1UVxs/M/zacc/4z7TTWMZmxtgWMBBNMhCdQiAm2pQWHlgcu9kFN +Cp0GKG0dpiYgUxPbGi8Ro0JK2qISYmV64bmEYAxtTQBJaYNAO5AYyijtiMS2 +tKLfL99HfNjZ6+yzztrr8q3LWfit+269t7coitGeomhoH+oUxcZWUfxa9DbR +x7W2ah0LPd3z/+cHRQ81i2J7X1FcrY+/0i6K67RuEP1cw/TjkrNM8k6K93ei +B6qi6NM3/donO/5mTLw/loxrRT8mnglka12q5/kN38W9b3V915vaC63L9X6q +FH+P5b9ZWOYjHd99Wds8z+v883k+22v5l+X847ooFoveU/odd96mfY7ufU98 +A9oHuvbHtPZFlfX9guj3RO8Q77i+HRbviNasnje3TE9oP6rnXQ3bdUCyn9X6 +VMP7H5qm2Xm+RbyzsuOM1niPvx+On7lnsfhGtD/Qscxa9Gtauxv282HptFn+ +OaT9Gp19Of7b0nCcfije73bM/w3RC0R/TutD0ZMtP68UPb9tmvN3LymK30r2 ++/LTlpb54b2gO3brrovapzr2Ff5H9uG25T8lvjf6rAt2zmvYLnw7qLVT9J6m +ac6+qjuW65vrtd+htUl0o7Td0PgH32xoWQ4yb2taLljdHpyM6P7hts+/2G8d +ruz380R8i074Bv7jsR/bod9qGgMrm9YLDDzT9F3ceSAxRE5b+j2h859Vxiky +idfqjv1AfMibbdGN/Pp0xzZgO/HC/n06W9H2XfhyJtibp7NXtQa1DjacO2Dp +iPz+PX37Z+29pWNErJBxc+Rc0XV+DXaNhZ+2rN+h0jl6v3Tem7umcv/ytmWB +L3D2vvS/oFh8VufntT/RZz54BsO/ucfYOpEcXKJ7vt7y8/LoD/+o9Dgjvqu6 +xvuBYJ61v21sb+j43oG2dVjTMc6pL822ZXJ2d86RxzN5Rt3Cr2Bkrc5epE71 +2u6Ovv0gsTiWmoYvqTv4c5HeL0z9IR6rmsbnjGyeo/M5XeciNhPfU03n6q8K +Y2o2uDpTuwb8Qj6+s3YtuEv7TyrnxIXKOfJccna845zkbr7h2+naPpsXv02n +/vTo/R9r31mIfkzrnPj/W9nWQx3beH3y6GJtn+JLfLWqMoZXVs4RYkpNfkd8 +faJ/KXkrWpaFHHBNPqxMXYQmL5CxIPnFPhK6v+sY3F67li+KP7ER+nSvfYk+ +2EPMFqZWUFvQgZpD3Vub2J0P9p6Wbvck7sR8unIMTlTG0f5g6R+1/TZbu25w +NhIf4avHS+ffwCd4a/kZml5xZZ/7wtbEGmyfUl4d0NkHkvlO6Rz4d9f+xlfo +Sr2hB4GFE3r3I/GcjD+Gku8s9AQnyB5Ov9ifXOAcvdAH/+BHvn9E+1nJ2imZ +57r25eL4E96h8N+ld5OKw99K1xNym/wDy5Opt+TlbPSkTlDjqBX4Ff/eKHos +WMKuT3o5d2HfcDBDvKGRMxZe8mIT80PHPWQ42ID/77JhrugnS2N7eWoa+Q4m +qDPrm+5V6Lk9NZPZgT4zlHejLddnsPhgetHx4Gpu5CzI/eD2M/gzuEI3aGIJ +3viWWL/Qcg++Jb3vWDCPb/akB2xMP+cduuNbsEEuk7+ng2Vo8Lw3NRUefL8+ +9QQfTqVXosum6AoGwAc4HEzdnheMjSUfqWPr0mMK+fNm7Ufkz4uV+826rt+N +JRYzleO5pXYtPZg5hPfrIvPF9IIllWeW4diJHeOxC9vRE79h1770pjWZQ8hj +8uYH8eefJHO17L2zci4SZ3BOv+Eu7nw7tZEa+TWt16mZlXvR3sgH5+OpjfT/ +FzID4Msn+4wHfLcxteLhpmv6weD5xsxIH3fN/5+ue9e+5AVy0R2fIIsetjPx +IU7Ejho4GoyRR7v6HM/VuQe8fUlyS/F8VBkrO9MHydf1yb2/Ns1zNLMG2MVX +e0vPpj2S8Wjl+vpz7e9WrvPUe2bViczD9PxVmZmoMfREeuPZ1OaX9M1VpXvg +Scl4tHS9pPeCA3wyWdtWvqOf8t3r+famluc2ZpX2JZ4bmJXQdyI6MwMuSO6B +I3AJlugdbzQdC+rYA+nR1CN88M2u53LqyQ2ZLzZkxuDOazKPfdS1n893jcWN +wR4+fzh+n00PPpN/kKsTv9HKeXtrZdsmEov7a+t5X/r5hvSA35fuVXN1129K +14sPa8cQeXyL37EfDHy/9p34GIytST8ituzEl7w8F39+u3ZefKc2BnhPfVib +PCNPm6Xto8/g/+2peyfS405VzhX44duRnoZvueds7iIu1DVqHfXsmcyrxHxH ++Kk581MPZ1rukbw7XPv5SG2/0Sfw3UMtx5X4Ms9S75hpX6tch49WxuCSzHvs +S1vG7nW16WvxZ2WddlWWvSQ85Bm2kmvUH+ykVjC/4At6x7rUQGrb0n7jclm/ +3y8Lz2x0RuZLlX39svZWaRtW18bd7vQy5sGHYte2zIPowOxNDhN3cAye6QX8 +U/Jvyb/f0swSzF8z+feZyiywIj3idOYQ5pG/VJbzSmXs7krdIM43JdeokVtT +t7FpW/QhX7ibWZGegA6c/at2LP8ZfG1J7aVWgFcw8T/Z/gg6 + "]], PolygonBox[CompressedData[" +1:eJwllNlLVlEUxY9+g1/fvffT8kENKkosmqCg4SEreomsrJx6KBUaXqLBgiIy +aNAeGmiykSgym2foTwgKNWiAeigzzYLUMG0gzaH6LfbD5q591z57n33OOnvs +2orCLcnOuTVYGDsY5xt17kjMuQ+Bc0WecyUQ97EsuF38mwI3nhgHvsm/Yrjd +/GvE/+47lwGXhV2Fm8a/bgrEI85NB6+FrwYfwNb5llO572GXqXUXP5u147Ah ++HJsD7Ep+GXg4eTIBR+l3lNiO4c5VwB/ifVR/BOe4SJqHgcvwhaEnPuGXwOf +S4484hdhc8D9nu3tHWueg3OwbHAn/xrgR7JmBvWi1MlLOLcDfi98OfYE7gcx +j5z1/BOcyb+7qo8VEPsZf5t6Y7+97P02/pionWkxfBr/0vDPkyMV3EqOHvZa +Sf2Pvp2BzkI932HtfvztcN1Jzu0Dt3iG28nXCj6KPYbfga2CfxC3u8rB/qlf +7Dq1RuMPgDdTc0OK3dEpYjOwTHJdYb8DcA7/nLMzm0t8qW97U89huHbPaivm +C/hW3HKPwvqI7eDc8iN2hxG4Hv6lR63HbvAAa1aAG/i3nHonienCH47/FX4e +toS1S7H54JfEN4Utp3L/YU1tzDQoLdbjV8bsDnQX0oC0oDWvwO/hD8esR/V6 +AeuDX4ZGHPlrPdOizlBnWejZXS5jP5+I/c36S6y/Rngy/mv45rBpUFpM4MfC +phFppYKcxyOmIWlp0LdedAe6i3TyzYuaRuvhV+LPDNkem8Hn+debbHvMI99O +/IvghcR04pcTUw2uI/4veCgwLM1Jey8807bO+JhnPaiXfCw7sDegt6A3r7ef +xL8JUaup2rOxGxG7A93FYGDaUE3V7vLtLHSn33zLqdw6ozbWhuKmRb0pva2J +8BtD1vMkcKNvb009dXimGWlHb0RvZb1vs0IzR7PnNDFviS2RXsFniPkFjhHf +RuzZuGHNGM0aaV7aV08P4eripi29uU7fZopmi+5oK7jKt7PVm9Db+OXbLFMN +1XoW2KwbQUwReHHCZsMs/MkJM+EmYqaCV3s2K6RpaXtKwjidqc62jBxVIdNw +f2A5lVsabgDXeNarNPbGszeit1LO/gbxk+I2OzQTEoHNRM1GaTAVflNgsW/I +cQiuJbDZLo1Ja32BzSbtoTSwGalZqRn8l97/A2sHzr0= + "]]}]}, + {RGBColor[0.679358375, 0.69013275, 0.6785905624999999], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFlktMXVUUhve99N4L5xxOMRGqYLSY6MRXTaGmE010pBPT0nRQxNdUWqwD +6MBH66PRgY9aE6MxKRdQMTE6sO1YDW0jVYFEE4M6uMCk6qyRGNo0/p/rJw52 +9j57r70e//rX2qf/6bG9h6oppV812jRmGprbU5rW/HCZUrOSUm+W0oEipQ+2 +pPRmnlJF58/XUvpd8sOSO6BxVErukPyyzh7RPK85daS0qvsPlbF+UPMl3f9b +eual72bde6EWNq7oe3s9pY0idD6mcUw6P5Pt6+XYP9p/W3c/0t138riHD19J +9aWOmBe1/6TkLuveE5rLqn2T/gHNuzRe0vpie6zxbUI6RmX3U91/pjOlEe2v +SE8t+1/3U9K1R7puzyNOdL5YiXnY+sGIOMaK8H3YmBBjqx6+HpT+U5pflkxL +ul7X+WHLjzhevtlv6jznju5+qJjv7Qw/d2jervNB5GVvSjJ/avRrr1NjvBa+ +9em8txHfrImTGOesczaFL+xz76TsNWXnPc3fyYdPdH6b1iuSPar7U9K5rS3W +t0h+UrL7NS9I7rx0/KWxVd8Xi/DniPA42Ih8gflIETl7XPNVx/aoYjlTj3jx ++S7zBx59WwR+z2URx+5GxNil860aK/r+Q7n5RvZ/kr7JWsRDLGCCfLMW8Z+u +h35yyLrf8xnvH2qEr/iJvzu9BvemcQNr9uHEWiPu/FKNvQHLX5DsOY1bq8GJ +ViVwxJ+m8YGb5G9FZ9+3BxfhITVXdd3h+5Rzul4NW+gH42nr+aII3PcKn/Ut +ET+xY/+8Ze7LIld3luHjoDm/0AjfqN9B+3/MsYMDmGJnynrgLzyG39QNPt/Q +FvlkH26/lQdeC5rvL8Iu9ofNa/AAA3K5ycNz1s+9Oa8nzFfy1lGEnXvk/wPW +ie4e2e9ujz6E//PGkHoszaWzzi85xy42NvWPGyv6EPLkCNmz5uLnrnfq/rf2 +0E/O8L3P/u8ybtiFs9QJ+JB7YqG+xh0veYSbP9TD/oLraVJjqRF3+WZuWc+1 +PHL/fhY+HXVcYI0MuaN+qKMredR0brvMR7zutu/kF5k5YzFv7DijzsGgLQt+ +fuycHdf+subr8ngX2Ie3YHXa2OIPuqmLehbcoS6pT3oE329k4c+o/O3IwwZ9 +Gg7ypmD75zzk380Dk0X3TXoO/R98+sqomZvK6FXI03/oB/QF6pH6oY7AZ0cZ +XO0to4bWXOc73ZfweagWutBDfJddm9TjjOMl1nHX46k88nZjFraIAW7D5TnX +Pn4R/37jA0/BiD18Zb/H9Y7+14qot+NF6EX/UB69Fk7Ae7gzav6Qmxm/O3uy +yAOcHXBs2Jp1j4JD2GmzLXBade9aNSasl/y28sZyb9b7xEec4In8ivsD+Vnw +/tdZ1MndZWA4Y/6QM3JHPPvyWPOeD2XRK78sIsZtzi81Rb3T6zb8P3DV73in ++d9y/0In3O5xXPCo5ZqC093er1qGHDzrN4i3aLffR3rDq661E3nYZ40PJ7x/ +ze8gdU4u+AfC3mQefFo1JoezqFPeLjCYdo7g8aKxqrh3/fd2216HY6QfEedg +Hti/kgdXlv3OYqdr8+3Lo+9PZBFjxZw/mUWv4V9jzPf3ZYHZovtO6X5M3f2Y +Rz/byON8yTL8b5Gv2SxiX3I94uO6/Vxz7GDQZVvY/Bc0yV+C + "]], PolygonBox[CompressedData[" +1:eJwtkz1IVnEUxo/Xrq/e/+1aIJgVpA1OaTYENhk52fb6ikT0AY0lvX4M1hBU +mjiFaCBF4PsqlIs1BM05VKSVBgkiLdWUtUlC6dDv4TQ88Jx7znnO1/82XSl2 +X4/MrB3sAd+C2cWc2QVwda/Z4czsfbXZ9wqzc8EhbjVmnfiep2ZvY7OjiJxK +zI7z7UCl2TI5bfAi/jLxt4jph/cQ00tsLf4h9MvojWO/rDLrwj5GzhHsDfwt +8CVyftPYE0q+gw+SfzvynK/BNaS1jn1SNv47kc9wDd8YOXPU/gVu4lvAfh17 +zwXsM5nPsoRGA/xs5rXVcxd8mpjtyGeaRX8/2Ih8hn3wu+jNoFUCI/AHfCvT +bwG7E7uAXUKrjvwe+B++1cMbmXcH3o3+m9h7Um+n//u1gw54kRnmc97DKPnV +oBG+BWrgq+AFIzym5if4Z7CIXcJeg1cmvruH2OdTn1GzfgGvEu9ZvW/j3yS+ +GeTRbgLt+Fszj1VN1b6cem3tWLueT3w29azZ2ui3j9k+gDx8Inhv6qkq8Rvr +1qqRx17B/wj/U/wf4SPBb6mZNXsfuEF/AewG15S2dj5F/k5wnzTuB7+xbq2d +PqOfg5m/Rb3hQ/BS8F3oJjPwUWJmY38j9+C7qd9G8+gW+gf0L+jNDaB9KfW3 +rJ3H2JPBd62bT8H/Bp9FOzih3on5GXsN1dJOtVt9W8YeTnz3euM/yP0HTeV6 +Vg== + "]]}]}, + {RGBColor[0.7494840049999999, 0.7540049699999999, 0.7346438074999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNlT1MlFkUhq8wk2G/72MCiVugxsREhWql2QVXY7FbWTpaaDQxsdQoURPj +z64/cXQtdxUHBIT4M2ijNmqtWNqQXSwBWa3UysYGwffxvCYWN/d+d849P+/7 +njPrDgzUjrSklJ5qtWqdLlLaosPzLKWxSkqPSindXZHS+XJK57Qey+Zv7Q91 +f0f367XflIMnur+dh/2Q3h5qD/vjOndpn21LabP8rtT3Jb17I9vl1vCLz2HF +GtK6r/ejlYhN3KbWO8ea0F6V/Tg2ediOaW/I9rrWX7Z9b3vifyiFf34ftM2g +Y3FeyMP+WBa272y/W/d7dV5TVSztF8pR4x7d79P3H8LpYHu8+V93/VlgsVHn +Zzr3q7YuvT2pu16tpr6zUnxz/iibYe1/yk+mtUr+c+11/d6t9Vq/3VCOy1pz +ituU3ye636p3vdXAc5P2q6W4B9M2Y/pTNer9Vee3uq8XwdHJLGrhDnzAEr7A +c0n2I1p9erMjC363q7435cAHXOYrscNJZ0vgCCbUSlxwmzMXxIAfcMZ2m3z2 +6LsnDz99tu9oiRrIf0Dx/tH5Yh7xR80j7+rGBC2hI7QB72iVOjPh8dk1n7GG +0fJCa7wD80vGoW68sUED8EPcqRS6Q39gAn/U9ls18u13zhPGDPstqmsjnCn3 +jjw47tReK0dd9BX59jlnfMNrQ9/j1jBapk/Q637nON4S2MDPmPM5ao2iu3H3 +CX7gh54Eq4Z1g2aor2Gd029g/G8ev4+6v1Jb8A6nI86Ne/CYcI0Pi8jnlOLP +VoIXeKemke/8LPs9nA87LvnDGTZZe+CO3ldXA5dV1mrD3OXmkfw3K94GvX9U +RJwl5/lzHpwdbw/80Be1vdL7Ia0rOq8txRk/7MO+54wdOJEv8bD57PNiJbSC +ZqZ9n9kGzHk3ZZ8N+ycWNuSP/aL1D2Y183jTO7h1Kf97sv3kniDW5RUxV/CF +n3nXC8Yzzpn8J/19xVzPOB/6btYzDt0RC+0xX6j9bBFvF9wLaGOfY+3MIs8H +hev3fCA/8lynfOt5aIIeHXIccKdPX5RDE1vzqOPHLPKdMUboBiwuF/Gmw3zx +7oLfnihFnuBKzEnXeK6I3w7L97VS9Ne050bNNb52XcT+z3OSeUk92NSywPWE +NUEPMdeYZWiQOQ/Ov1fjvNt93LQGuOt3D4PxnPl9WcTMZ/Z/m4/MB2YcvPbl +oalla4Ja17t3qHnWflj8DubU0u0a0RR5ozG0MG9uBs01fsix133KvIaPW3n0 +1Jx5+sW8wM+k+cee/uHtLv8XMcfAHMw2eHYt+j+oae3dM870Iz1Pvy+YL+5n +fMb/t36gvu48/DMv4a7TvfCD/7O+/nfZJ7G+AOKUMgY= + "]], PolygonBox[CompressedData[" +1:eJwlkrsvhFEQxWftt2G/+9mQUOwSIcGqrMYrHsX6CyyNkHi0glAIIR5hl9JS +2MIjNBSyW+k9Sh21AiWVPwC/McVJzsw5d+6dmds0s5CZLxORduCBAV8kCdkF +q06kGvjwI5CDJytFWuGFsMg33lqQC4lcEcfRG8F+yDxJeDom0oM2TjwEPyW3 +h14oF5mnVju537B57qhVCkRa8GZ41AjxCjiFN5N7Qmt1xrcjItPE62CCuI/z +a/D6mN3VS1wHz+I/1Hr40+gp6jV4dmYMLePbXWegiD4JNvFugSn4RmC9LuPf +hOcC8+qbsvB3anx5dmaWfpqczUJnoLN4wPMRMc8id12QK8IPyC2iRUEcXiJ3 +iXYCruFZztfgT9HDa4V51LuAvuLZTqqc1dBan8RvxHPO3qo9aq8/xDH0c+I8 +PBGz2WjNDvgong7Pampt3YnuRt9w5mwGOgvdUZT43rdZJ8j5lfZH9K+0gUG0 +HeK8ZzU74S4wr+5cd7/k21t1Jjqbbmdn9Q91wZ+d9X5L7gV+g+cxYjMb5my/ +b5ruVHerf0D/gnrUe+zbLLVn7V17/u9d/zT8Dw60WQU= + "]]}]}, + {RGBColor[0.799195625, 0.80307423, 0.7779198425], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJw1VLFuU0EQvDxsP3T33IEQFYkUkhKBBE4kQsEnAFJEgaNQBBpCbYGgMBQx +aUFOYmiQ8ggfAEpSodgfAHRAid2hBHfpmGEmxenWe7uzO7P7PHX/8a3VLISw +gnMK5w5+XMTpw36F+1wlhNFECGPcf3HW4XtShLBZDeEp7vNJMWdjCNsTymdu +rIdwtRbCF/gXM2GVeN+oyv8Cvw9wf4DvAPF3gTOEfSkqljUZ/xb+j8BPqNXJ +FM86O/Ct4Xc70/ufiuxhUp9XUL8Fewa+hai80rX2UXcPZylTb7uwvwbde7Zf +I7eJt3tRcXxj/o0oTGKz/+1c/dyGvQVu05lOt6pa1ImcyW0WORfQ2yTuh+Cz +jLhN2O/McbUu/ox9lMSP+G3rQVxitirCoW9QUy5jJo0/lYRFP/VrmsMn1Jyv +aF7U+EyUjr2kfrfcJ+tyjuQ1Spr9A+TO5eLC2R1n2gXqeoj3X54H37vG4Ux2 +3Bvj1r0D5LRm/DLXb2rJ9yXHzHg2nAXxGrm4cyYd5/Zr8rOfHFzeo9Yb9Psz +Uxz3kNilNbxs3sR9Dj494D4r1DO5ndSZMyb16JkL57/o3pon9YP2Zde79LnQ +7g09h2nPjXXnXftmoe/rZRKPY2vD3jvu+1pSTiOpl4Z7Y61la0JdD605Mcb+ +Njnblnfjh7XoRHHpej+pW2nNafOmtt+T5vjNu0ebe8C6+659VFE99jqO2vvZ +umqTO3Xgt0f7dNQODvy9rxTK/53k69vPXmi3re/I3yk1olbXozTou8///xk1 +zYC6HVk7vg+M8w+ZOrI6 + "]], PolygonBox[CompressedData[" +1:eJwlkb0uxFEQxcc/u0vu/LcjotpsgtUqELHxAtshEYUVElSofTdegYTdaETB +A1CovAIdOh+dYBvR+Z1McZJz5tx7Zu6d6srWzGZmZhVQAFPJbJBCBVFzs/3c +rFU0my2ZdfA2qL13mbWpHeK9or84ewV68X/BNrwfDOCNgHnyhsE03iV6Dv6C +/wi/IWMJ/YO+hfek4B3wgX+PHqP3Kf128B887qqnelc9ZlVP9X5Df8MvQDe6 +hf6EX4Nz+Hoe2X/0XIX3pZh1EtTx6+ihLGbUrJ7H3SN0gjfKZnelmLnJ2QnO +jBbijXqrMpSl2rhHD/XSTGvwE4/ZmtSOPTKVrTcmsvfQZ8X44wWPN+vtqu3K +o7acxQyaZTFF1jN4wquVY1faoXbZ9tiN/kB/cZDH7rRT7fYf959Cmg== + "]]}]}, + {RGBColor[0.8630773333333334, 0.8665753333333333, 0.833947], EdgeForm[ + None], GraphicsGroupBox[{ + PolygonBox[{{1191, 1188, 258}, {314, 283, 210}, {1646, 1186, + 283}, {3255, 1490, 3254}, {1646, 1647, 223}, {1414, 1191, 258}, { + 2965, 1186, 2966}, {3034, 1251, 2653}, {1191, 1490, 1188}, {283, + 308, 210}, {1186, 1646, 223}, {283, 314, 258}, {1188, 283, 258}, { + 2654, 1191, 3403}, {3173, 1413, 3175}, {3046, 223, 2568}, {283, + 1186, 257}, {1251, 1292, 257}, {3403, 1191, 2970}, {308, 283, + 257}, {2567, 223, 3044}, {1188, 1646, 283}, {1647, 1646, 1188}, { + 3174, 1413, 3173}, {1186, 1251, 257}}], + PolygonBox[{{2698, 1292, 1251, 3034}, {2970, 1191, 1414, 3176}, { + 3378, 1647, 1188, 3045}, {3254, 1490, 1191, 2654}, {3175, 1413, + 223, 3046}, {3045, 1188, 1490, 3255}, {3044, 223, 1413, 3174}, { + 2568, 223, 1647, 3378}, {2966, 1186, 223, 2567}, {2653, 1251, + 1186, 2965}}]}]}}, {{}, {}, + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{2698, 3034, 2653, 2965, 2966, 2567, 3044, 3174, 3173, + 3175, 3046, 2568, 3378, 3045, 3255, 3254, 2654, 3403, 2970, + 3176}]}, + "0.885`"], + Annotation[#, 0.885, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{2621, 2937, 2622, 2856, 2871, 2870, 2876, 2581, 2841, + 2807, 2849, 2848, 2855, 2619, 3367, 2802, 3197, 3198, 3199, 2925, + 2607, 2905, 3196, 3195, 3194, 2753, 3338, 3082, 3083, 2973, 3438, + 2974, 2971, 2972, 2580, 3043, 3026, 3027, 2981, 2620, 2949, + 3138}]}, + "0.8260000000000001`"], + Annotation[#, 0.8260000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{2617, 3247, 2643, 3245, 2642, 3246, 2681, 3206, 3205, + 3204, 2680, 3275, 2616, 2854, 3169, 3244, 2641, 3401, 2977, 3185, + 3041, 2674, 3266, 2673, 3434, 3042, 3435, 2675, 3167, 3168, 2825, + 2824, 3630, 2752, 3609, 3650, 3651, 2904, 3612, 3611, 3610, 3632, + 3631, 3081, 2978, 2711, 3070, 2961, 2948, 3439, 2947, 2869, 3443, + 2644, 2927, 2832, 2833, 2950}]}, + "0.767`"], + Annotation[#, 0.767, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{2697, 3436, 3068, 3407, 3067, 2958, 3023, 3022, 3066, + 3377, 3376, 3409, 2707, 3437, 3202, 3203, 3050, 2679, 3049, 3274, + 3273, 2853, 2563, 3162, 2957, 2976, 2975, 2585, 2899, 2900, 2729, + 3320, 2728, 3321, 3323, 3322, 3324, 3136, 3135, 3134, 2615, 3628, + 3629, 3627, 3658, 3657, 2586, 3183, 3184, 3165, 3166, 2565, 2537, + 3024, 3025, 2959, 2960, 2566, 2538, 3028, 3029, 2962, 2963, 2964, + 3139}]}, + "0.7080000000000001`"], + Annotation[#, 0.7080000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVzjkvRFEYgOEzorHNWApaVFR69JRIJDIohhqJKHR0WoKgpJCQ8CPE/heY +GYOY2LfYDc8tnvve851zc099arR7JBZCGOeo1KM8hBX9KwthWTt1SWMVIWxH +c/tb0TnrSYath0ixaJ7TBX3VNX3SF57Jl4RQbNbvPckZWebNHvSRW+6548r5 +Intv/pPTRj3Xbnfqos77gdkhPRxzxLr5p34xwGX0T/3gnQvrXy0wyA/f1Jqf +6Cm9ZEgzY97qPm20E6x3ovu5Q540WTK02JuyN00fcd/HzLKaoJJr81WzG53V +pO92dULjJNizrnJ2I7qrc5ta0DntsL+vY3qgNc5V00wTDeb/MhdK3A== + "]]}, + "0.649`"], + Annotation[#, 0.649, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV0slvjVEYx/FTieGWew1VOt1S2gUJNjQ1a2JIhI1EWyxQ3RhCQohEYh6K +GnbmWWJWSxv8A8aY2goi0dvZbKs+Z/HN9zy/57nnfc+5b0ntpiUbs0IIX1CW +HcL9ZAiNqMQxlMoe8Fhu4Dm4h7vYJiviNPJRiAIsHBjCGL0tg0LYjDrZNHW9 +dSV61N+wHN3owjq/yTGz27ocf/EHefKX/AqzcRQl5qrko/mIehZe4Dn6yzv5 +g94ybuEOXivfxTsxBZ/lv3mk/Fk8k3om1+MwlsoP8UHMiOfVf8p95f2QSoWQ +RLO8nJs419k+cQ5/5OE8jPvo93BpPDeXcScX63fHO+QuTnMmEUIvaqyrkRff +Ee/1h6iHIonBSCFbfkX/Kh6qr/O1eIfyCbwdrfY7z2dxDotQp3+JL2MxLuIC +EvLv/AMr8As/8Vo+zv7j0eD8VfzPvhXWBShExkyhvJ3zuY0L4jtzkz0e8QB+ +zAk+yV/5DU/iHZhqn1XxTuKevJ73yvegAh2yXs6VN/MT9Vw+jhOYL2/lt/Jq +fscZXh3vV6+IN3Ca98XnIcv/EzBC3hK/HcyL74eJ5hbI26zbURO/H7OTURuf +zWvif8kr+ZTZ0ziDreob5m/G7x/7USy7w6P4AE/HbdyKZ8F/dld0Pg== + "]]}, + "0.5900000000000001`"], + Annotation[#, 0.5900000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVzz0vQ2EYBuCni0ZbH3/BJtFN0l9AwoDqItUOdKqgYrHaW5UwsdSPwKAz +s9TQjwGJgRpFsLo6XLnP83He95yZykGhloiIDbrjEY1MxAl1TmnyyFw6Istx +KqKjbk9E3PHlnT5neucsscy33oALz5essMqf3jPXzrqhzqFzGnJLblPhxU7O +/o/7ZtW/o1R35PxkxJNMyTQZ3uzf22vpF+SVfJBN+Tr6F7km86xzZNZzZ1G/ +KzdlX46ZvfPBLntMmS2YVVlkWl3T3+eTIUkGZmWzW88lueOOpG/L8w/xXTOv + + "]], + LineBox[{3294, 3240, 3241, 3239, 3243, 3242, 2532, 2867, 2868, + 2695, 3372, 3447, 2531, 2553, 3285, 3231, 3232, 3154, 3286, 2554, + 3287, 3233, 3234, 3155, 3288, 2555, 3289, 3235, 3236, 3156, 3290, + 2556, 3291, 3237, 3238, 3157, 3292, 2557, 3293, 3655, 2720, 3622, + 2721, 3623, 2703, 2896, 2726, 2932, 2829, 3662, 3663}]}, + "0.531`"], + Annotation[#, 0.531, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVz7kuhFEYBuAjGY21ETSCqAiFIIyGsY2daDQqibUwElMOhYhERSzRUJIo +FNwAxjqWK0DhBiQSes8Ub57zfe/5T2aqpxMTSzkhhBXZzAvhOj+EOK/Yzxu2 +FoRwywFzmoO8Y5v9A4fM9xzmI6P2GY6YnzjKZ7bbv3LM/MJxvjHXPl0YwpG5 +iSm5lWNzM1eltiiEOimXmDToJn1bzzJzqbRLVCL2laySYunM9u51sNVbp3Ii +SbsPd5f4zgQ/uej3LMhy9v+zJHtHGs01rPDOl+8z5n7uy4FM6fa4K3H51Ufc +3eClro+H3uvlvP7Pbt35gj3c0XVzTvdjt+Z8zi5u62Kc1X3bpZzP2MktXQdn +dC3OSf4DSlg6sA== + "]]}, + "0.47200000000000003`"], + Annotation[#, 0.47200000000000003`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVzj0vQ1EYwPHHQtD2O9RkMlBfgEUwSYwWUd3Yu5H4COrdiCBY9FW72sRS +BhLsRCVStfXX4Zf/Pefc+9yTXl5fWOuLiCWagxETiYgMJ8MRZ5zyYP2pX5xz +yQWP9r+1xRU3XPNLwtmLeZueN5gciti2V2COedrOX2kmI0rOF7WsT1rUAa1q +v1b0WZM64tuWpvVHs+avsNq7k3VOp5jmzno0FVHTGU3prjl7zLJDgXs67pLX +MRrU2fJ+25wOf4zz4b26Nqj2/kGNd/tH7nTMPocc8Ga/7LzCLSWK/NMFAW8+ ++w== + "]]}, + "0.41300000000000003`"], + Annotation[#, 0.41300000000000003`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV0Dsvw1EYB+C3anFdUDaXtqTtUlMlRSSiEpfFwuYyuqeJqaPJzGb1ESRs +fACXhCYSMTBLxMAiIp4OT37nPe857//kP7ixt7SbiIh16i0RubaIPLXWiHd5 +2x5xw4feIxnrLGlGGObO2Z6OiBQV9Syfzj7RZJ0kQVV/n1Pnm9VFJjsj/tRZ +OUOFqu8uyh/7ZTnBOEn7q6zxq9cvc3LAnLw8U5fZsq7JTZl2L0MX3RQab5XT +3nHJBdv2rszYkddyRZ7LZTmk/yb71L0cmfuqTlnfyzGzXmRJLjBPXe+78b/k +HCcc88CX/WcOzC1w6O6omUWm+AdT+C7o + "]]}, + "0.35400000000000004`"], + Annotation[#, 0.35400000000000004`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwNz8sqhGEYwPGHInMgXACNxVAOE0s1Tdk6NjWzUExZOGxICk2Oa+6CuQKx +cYi9DbeApc1YIE3mt/j1n/f5vvf5mszKVnGzJSIWeU1E7KUi9vlPRhzpMYcc +sEvVfCQdMcowOcZ4Nh/vipiggwSf9r0w7d4MwRyznHm/oQ1d6Iy45Y5tszZ3 +f8wrzr/a7txqvsQyf2Z9mtV+3x7UC+dJ1vyu6qpm3Bugmx6GzHp1yt4brlk3 +u7djQx+0rFda0m+tadq+FDtcOs/rub57/sEbT3Y9kves7j8n9dQ7dT3RL81R +oAlp5C6X + "]]}, + "0.29500000000000004`"], + Annotation[#, 0.29500000000000004`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{2512, 3269, 3270, 3268, 3272, 3271, 2612, 3207, 2611, + 3427, 3140, 3141, 2540, 2511, 3538, 2737, 3412, 2738, 3539, 2736, + 3331, 2740, 3330, 2739, 2835, 2834, 3366, 2799, 3188, 3189, 3190, + 2913, 2914, 2765, 2915, 2881, 3193, 3192, 3191, 2741, 3540, 3332, + 3333, 3249, 3250, 3248, 3318, 3317, 3526, 2543, 3080, 2952, 2951, + 2944, 2685, 2862, 2861, 2878}]}, + "0.23600000000000002`"], + Annotation[#, 0.23600000000000002`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{2817, 3587, 2803, 3398, 3473, 2906, 2754, 3341, 2756, + 3339, 2755, 3340, 2571, 3358, 3359, 3090, 3361, 3360, 2763, 3348, + 3555, 3554, 2539, 2510, 3122, 3121, 2610, 3507, 3508, 3406, 3506, + 3505, 2572, 3259, 3260, 3257, 2661, 3258, 2852}]}, + "0.17700000000000002`"], + Annotation[#, 0.17700000000000002`, "Tooltip"]& ], {}, {}}}], {}}, + AspectRatio->1, + Axes->True, + AxesLabel->{ + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + AxesOrigin->{0., 0.}, + DisplayFunction->Identity, + FrameLabel->{{None, None}, {None, None}}, + FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines->{None, None}, + GridLinesStyle->Directive[ + GrayLevel[0.5, 0.4]], + Method->{ + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, + PlotRange->{All, All}, + PlotRangeClipping->True, + PlotRangePadding->{{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, + Ticks->{Automatic, Automatic}], ",", + GraphicsBox[{GraphicsComplexBox[CompressedData[" +1:eJzMvXV8VEfUP4xTKFCKu7uG4npwt1AoXqxQ3N29uAR3CE7QBAtBYgRCkBAj +nmx2N7txoMXtXXL3O/PM2e6vz/Pfm/L5TM+9syNnzhyfuRVHT+s3NluWLFka +FM6S5XvJ/5yqdLP8cyUV9hZw1PUpln8B7H2QgDNfR4UJOFJ7IODtmfUTBFz5 +O+hkEPC1zOqJAu6S2UGSgCMy20sR8KTMAaUJWPt7yWA5r38vvQWM+anvgwSM ++QHG/ABjfoAxP8CYH2DMDzDmBxjzU9flJYPlOv37vGSpzs+bzc+bzc+bzc+b +zc+bzc+bzc+bzc+bzc+bzc+bzc+W7v59neS8eIn5Acb8AGN+gDE/wJgfYMwP +MOYHGPMDjPmp++Ylg+U++ne687aZh/pelur6BbH1C2LrF8TWL4itXxBbvyC2 +fkFs/YLY+tnyhX/fR94268LnAZiXmB9gzA8w5gcY8wOM+QHG/ABjfipfe8lg +yef+nS9429AZXxc+D8C8xPwAY36AMT/AmB9gzA8w5qfy6ZfE+fbXb9//4sT8 +VNhbwJif+j5IwJgfYPQDGPMDjPkBxvwAY36AMT/AmB9gzE+FpVzC/Dif43yB +7yNOd3ydAPMS8wOM+QHG/ABjfoAxP1WuviR7chbz43yb8znOF/g+4nTH5wGY +l5gfYMwPMOYHGPNT9YSXZE9vwPy4HOJ8m/M5zhf4PuLrwucBmJeYH2DMDzDm +p+o9L8meHoT5cbnK5RDn25zPcb7A6YyvC58HYF5ifoAxP1WPe0n29DrMj+sJ +XK5yOcT5NudzfN9wOuPrwucBmJeYn6qXviR7eirmx/UeridwucrlEOfbnA/w +fcPpjK8LnwdgXmJ+9vRuzO/f9Tiu93A9gctVLoc4X+N8gO8bTmd8Xfg8XtqU +2vicRamN30OU2vD8RKn9LlCUmT9zChFl18yGIkQ5ObOhGFFqz3Wi1OavF6VW +zyhKTY6ZRLkts6NkUVbK7DdVlNo400WJeWVhf3iOdgGjXcD/3o7EG34PfOH3 +gPEe+MN7wHgPfOI9YLwHfvEeMN4D33gPGO+Bf7wHrP5ex36vE++xPngPWG3f +yNo32uCJ45njieOR44njkeOJ45HjieOR44njkeOJ45HjieOR44njkdM5xyPK +/9oH4APYB6gHWMVnOsNnuk07Kn5f2oyDtwuY7xvst//ql7/n/XK+xfc554f2 +xqHqER5Mb/Bj/DRQwKAbwKATwKAL9b2O6SF6Vl/uj/+/jYvrPZz+OL1xOcTX +mbfH6YWvH6cP2DOAIScBQ04C5vrsf9UDDPnJ9xfXG/h7PNfmZRbl1cz2k0Wp +rW+GKLX5O4lSlU9OAi+8Purx59r6gS7iBazhM0HAGh0YrfOPFc+1UidgDe96 +AWvzTWT1QUcmMW88x7wBd87sN03AGD9+B5i3jxL44M+1caYIPPB2tHGn2/SD +Eu2CHrgeotrlJhs7iPNFrkfjOcbD8aTuP1u8/ft4s2TB+//tOqJfvo6A/7d0 +w8eNdjkdAObrxNdTHVe6zfqCbvi+UPlmBtPPnJje4c30O2+2X3zFOACrfNaX +6SkBTI8JEO1NzSyfiPYAoz3A6viC2PiC2PoHM/oNZvMPZnw3jMnXMNFeZrVv +L0R7gNEeYFVviWJ6TZRoT+Or0aI9wKqdHc3kSBzDdzzDd7yoDz6O+qBLVV4k +iPrg86gPulXloJH586C/+TM8y3XGe3U/+Nv4I9BeZjNVnov2+DrjPdoDzP0Z +aC8TvB7K8CDXGe/RHmDuD1HxGsn2axSTs5GiPcCqvyRW/B4w97eo+q2O8T8d +oxMDoxPJtwCremqiDV+zx5dUPEg+xf0g6B98mMtz7ldAffAp1AfM+RTXh1T+ +aGJywyz4pqqPpdjoAfg910fAV1W8SXmo6hkedv0CGuxq8x7PNfLxs+tHAN/l +7/Ec+i3qo8Rz7Ef+Hs81vhFi10+B/cff4zn0Z9RHiefYb/y9yl9j7PpBsL/4 +e/W5TtTnfhPVHo0T+rs9vwr2H3+P59Bv7PlhVD+4fK/q0Ymi1KaRLvQd7pdR +6VK+V/2DnM5cGR1dZ6WkK5R4rq2Pryg5HaHEc8hllJxuUOI55C5KTico8Rxy +FSWnC1Wuxgi5iVL1N8QJOYmSr7sap9ELOYmSrzNKPIecRAm+iRJ8CCVfZ9Wv +my74jlpK/mqPz3I+rPpPbPXI/5LTXM7/lxwGjPr/JWe5nP4vOcrlMJejXM5y +ucnlKpeT9uQm9ovqH/Nl+orUm/H+v/Rc/p7rqVyP5Xou10O5nsr1WK5ncj2U +66lcz7Snh2Kf2NM7sS/s6Zlc78A+sSfXuVzmctueXsH1DvA/Vb4HsnmGsHFH +MPqKYe8lfYGfqPWNbB+nsvGkW9fXhdnpLjYl+Ls2bk8bmJegS+xrDvMSdIl9 +zWFegi6xrznMS9Al9jWHeQm6xD7nMC9Bp9j3HOYl6BZ8gMO8BB2DrkCngHkJ +OgXdcb8Q2lPtLKOQ69Bjsc6gD9CN6pdLF+NR49h60Z86PxOTe35Cb1VhV0E3 +Kr0FsnEGCr6o6gm+TB/0Y3pCgKAb/A77Du0C1toPEnSj8skY0S5g6BmgG/xO +1fsimH4YJegGv1P1vxgBq/ktCYzejEw/NTK902ijbwA/al6Cn1g/Vc4YBX7U ++GegqK/KHaPAD+oDRn0Vn0aBH9RX9XITkztGgR/VXxgj6qv7N5Hh3WSDP/BL +1AfM9SwVf+kMf+miPt+Pqh7ux/IHpJ2t6nd6wS+hf6lyJFXQNWDUV+3TQNGf +6vdKEePB/lfjPxLG/lTtXWk3cnpRx2W20fc5vWC/qfgNEzDXz1W93GAjL7nd +pK6rWcCYl715q3aa9DdwWMX3SyZ/U1n8LFDwP+wLwCr/cRbzUt/r2HsZx1Lx +7cL4n4doDzDaU99LuaDqL542fFvlf36iPc7n7fFx/F7lvzrmh0i3ize0Z4/v +oz3AWA+1frrddVD3le26cLxyvPB5crmBfQ+9gq8zXyeOZ443Pm8ud7hcgR2C +cWh8BnqvwYbOOJ2o8zWy+RrZfCWf53xcjcPLcWE82jokCrrmdPnvenWqzTpq +v88QehOnM04XqIffafjgerPUQ1W5Yqv3YV7crlfXIYX16yL4kmoXOjH9/rqQ +H5mPLXozYIwPMPRewKA/NV6ks9sPt8e4P/ff+ZGH4JvquifZ8DX+O3txIVW+ +mu22q+rD/2U3mYU8UOOK0q5S43O28bL/qgd9TvVH2MoZjS7MotTGjzhHvIC1 +9iWs4QnrEieea+3EClgbh07AWqlj9W3jsXjO5aqa/5LC7O1U1s//fVzgB9p7 +4/8RD6AHk2hHm4+JtSv1WeBda+exoHOt3yABa/2GCVjVV2S8TR1XPNuPCWIc +2jglP9aaMwhY+52R1bfVu9R9Lf1UgHmcTnuvt8EzYLU/+3hU9XwXsa9R4rnK +N6U/H8+h53E7XZUjOibvpN2t6tWyxHPwddAp+A34nGqXIW4nS+6HB17t4V3F +F8czl7/SP8j9Yyo9/9/phK+T+vtTotTqh4pS5Q86wdeAP7TH7UOsq+qPiBDj +UfEs8/zU+jpmf7iIfrIof4FCr8e+BN1hHHiv2v/I54ixgdX6chyq3HJlehB+ +bxTv1f69SW3fm8lBb1J/783kqzebp7TjAKt6agDTK+V5t/83Hr1t9FjwP3W8 +QTZ2DugD7/8dD85snbyZfh9go9eiPuQk3qt2dhhbpwhhBwOGXQ3+oq6jPTrw +tsErxwv3C/3f6MjbZp04njkeuF+J6/ucT2nVEpj/IkG85+d5/t90LelUxcf/ +3q7n9gHWCeuj+ivCbOw4NX6ZIfwv6B90qNL5S7aPnIU9Af6i7hPYZf525Bo/ +J+oh6qNdjAfvM4dv0dPVfj1Yv0Fif6M+2sVztV6YmCfkKH6n6pkxQi6p+Wsx +Nues1Lin3ka+qvRlsLHbAGOfYV1V/DmJ+WigjBfzeLCGn2AxLshFrf9UUapx +mVRrv/I9j7tBj7mRWe8pyzcLFu+1ccm8dtU/ifbCbfymmIc9Ow3zU8+TBdu1 +47jfFOOwZ+dxvymXu9wOVPN/oc8nCfypeoSe6TdG8Tu+j9EunvN8XjznfEBb +T9gTtvWgr2t487HJ87OnZwFW9ynPC/Zk+07mQeA51hP0hBLPsX4YF9aL67Vq +3FRnk4fA9x/oXz2nls702gyG/3TmX7CN8wEGX1L3pYz7gf9h/+I9x5vW3H2b +9eFxQfA/7B8ePwQ+sU+1cTxmfEzqpzzvgcsJ1FPtbuAP59zSRT/cLse8tHZO +WfGxktGTq3V+d6ztXGV4Bn/3Eu2p8gP62CMxb9CTqheEWtsLYvsfcjZC2C8q +HcUJvV5rL17w9etW/QD0pub1Qz5ALujF8/DMH6YJfqHSRZYsqt2EeIdJ2O2Y +P/Yh1h10qcbRQsT+AF4AQy6iPvYd8AB+Df4N/AHWfveCjcdVjAf0r8Zx4wQe +MB+s0//WbwB+hxJ0++/3dngK/gF6QvuAgRdOVzwOqo5LL96rcUVpf4POeBwS +sKpHGG30BtU/KvUIVQ4lMjtbngPg71W99pQVbwes/buLEvyL5y2o+LovSnt5 +C8Ab9iVK7EfoC6rdHC/wo8ZJ45m81jE8pAo5DP1GlY9pTI6mMrmdzuSuzAMD +n0N90Bs/P6PmY2eI+vbGoeYxJIlx2RuHyn+TxLjsjUOVb0k249LWKYPF16X/ +hPtT1LwuqW/gd2p+cLKoh/4Aq3lysj4vsb/BL/m4AcNuAayWaTbrxp+jRD/c +L87xoPpVEwS9g4+AXtU8ccQxjKLEc/XcotRPIH8Bq3b9VSE3oTdgP0IeY79h +X3K5CJjrTWp+vN6uHcnzbNS4ryzV/ZPG9HTE5SUM/QFyHXhW/eLIu3tgfR8p +5Bb4JH4HWJXD6SyvPk3QI8YLWF1XXyE/NXwEi34hD4FPyFM1z9WP6Q9+gv+r +fNco8IHfg5+q5+8DRX1VbzQyO0rP9AED8x8Zmf1oZPqCQcg3vMf8AEPeqf6S +aBu7CvoM8AZYK2OY3nxd6H+ge8hhjFerHyb0EzXOFCPWGTD4pepHT2D7Vup7 +Kp1IvQP0oY3DxUbv534OrsdjfVT/STCLC0WJfoFf6POgb5WPyLwlVX762uQx +qfafzAPFPgOfVenQdt+qeSa2eAd+tNJDrCf2L/a5Nq5AZifHCXrC+nC9APNB +P8A/YPSnrcNlQbfAP+gJMOhJm/9zgRdVb04Q66DeTxPL4nRxYn+odqtBwOBP ++B2fh+oHCxD4Bx9Hif2Jefw7/wkT48d7Pg9+DkONJ/G8e7Qr+auqpxnZfpfn +VtX4eKKop9oBfsLegHwD3QGG3MG+hhyHHgH9AO9B19xfop4DSWbySuovalxb +wmgX+FTz0y4Lea3GAQPE/LAP+LkI4FWjcymXAWPdsb/UvBxvsc7qvk8Rz9V4 +to7JI5kPCFi1352FnIA8Qjs8n0eNR0o7CPQDOwDjU+0p+BMfMHtU5v2o+Yqx +oh3gj9vjwK+af6IT/EJ7f4rxdScGOwv9C/XBP8DPsK8Rz1ftOOmPwXxBh4Ch +Z6n2ZISgH6wj959hPVQ9NkrMm/MzrBf6QzuqPNKzPE29oHO0AzyinipX5f1S +wCfwp5UHBD7Ar6Cv8fHwdVf11hQmH83ML4A/T5Y/HyDoF/jC/Hi+Jdc3eb4C ++Dxgfr+Yeg5H5gupMLdvUlie1ks2fhehp0MO4Dnq4feA1f2it6mntpMh+Cv4 +Hege8wJfhp7O7TTVnuLnA5MYXUm/OWBuZ6J99b4t5JNkMDs+mp2T0Qu+wu0O +1Z8p82ZBR+DnqI/9Bnrm/lCVX5mEfglYex/P9EZJJ4Cxf4Bnnuei+vtlfrHq +fzEyvUHGIVX5Lu/XxDhUO0+uKz+XgefYt9jvqr85WDxHPdVOkHaG6rcPtskn +x7zVfCuZZ8btfXv11HwrmZ/E7yFU43k8foZ9rbfhA6qcQPxU5vtALmBfoB20 +C7xiX6J/le9nyQJYvYcvkulbkIvSL6LqlzI/CfxStVc8xP7BflD5hQfTS/yZ +3u0n5CTawXPU43FZ7hdV8enE/CC+gu5V+1ielwK+IadUv0aqoCu0B/0Dv1f1 +Ey537ef52MvrUc+VJtvoqYDVuNYpgX/MH3oMngO/wAf4Fp6r+kqaDV2o5/6Q +NyXjMfi9Np5HFJ35P88E3an5YdECL3gO/EH+gA6ATzxX9VSZx83pArA2XoMo +Qf/cP47nWGeVv8oSdKTyU+mP5n5d7reFHOX8yN7vIM+0/jKseILeCr8r6ALn +NnGPVIqop/4una2rPJ+s3neTwuSD9Fdx/xPWU9XvI4R8U8/BJot1V+0o5Lkk +ihLr8e/jlOc6VPoH/woU/WN/q/5AncAv9BnOR7EukI9qnEaetwEMvgU+DTkL +PqryRxfRLvgk6JzbWZDj6r3Hfmw/cL4t82oAq/d5SnsN41L9YSHivaoXgu9E +ivf8Xl7u/wbegWfokeDb6jwPCL4GPovxaOMOYXJTxo2gR4GvQz6q55Oh58l7 +HDF/1b8QyuInMWLfg+/z34EPcjnx7+2axDy4HMF7NS9Dljw/W9VHbOur+cwm +4d9S/Q9BDA5j9naYjZ4Juud+VTUO5SHWGXSrlfI8K/a5Gh+NFnKYx83Bv8Cn +tfa9xfpgnFo/Mg9AqxdvY3/zuAWeq/IIcWrEi4MF/aNdbdzw48k4kBpHMwh+ +rNoRK8V+Uf0UfgJ/ar5ZjLBz7eUxwm7Be9Ar2lP1fGcW33Bh85f5BVhX1Ff5 +lRPzG0eJeaj6vb/AH9Yfv8c40S9gtAe64XwX7annKXXMbkCeZLiYt4oHJxs8 +qPMMFPXRDx8H13NUvAXbzctQ44V6QRecH3L+B3pWz/caWVxA6j/Ig1fPC+uE +vITfSvXL6pjfUcZtwCfBXzU70SzwzfMMVbvJLPYtYFVftz0PAr6H9QN+gG/g +B3jneijkl6qH8PPoOqGvqXnSGUJvUeN/aEeW2nhOiFLNh5RyQpXHtnIB88I6 +ol/oKZg/6A/PVT/fdUaXMm7C83gAo74av3JhfMSV9etpkwfE9wXkDfRN7APA +mO+/z8NPjEPjow+Yn/05k1v25Zoat5V+Zq3/q2KdtP58hBwEPtCeVu+xgEHP +qK/mlerE+qnxWKmfQp6odm48i6tJOoRepertGTb3VPA4N/x/oHv13JmMYwHW +1tFLrIPWr5fQpyDf4LcAPsHHON2oceAIVt/VRi8BPgGregHsoDRhB23NfC5h +NX9XPtf4ioS1Mp3JYyPb99LfBRjzA/2CfrCfQZ8qf7KNA6qwjA+Bv2p4kLC2 +f2RcFnjEe20cD8X6aPUTBHzdqjdct+o9mCfwDX6BfYp9DXrXnt8XfBp6rJp3 +GibmV8Uqf9Xx32d5LQeYP0ye2+B4U/m2QehhkDvY55yvqPNxEuMErL53ZfzL +Scwf/AHtcv1Gey+/PwU6UfVHeV4I48Q+h9wHjPpqvPmFeK7qz/LeadXPkcDi +6fK9et7Fmd0P4STahdxT4zCRYl8A5nEjtKt+18eZ4ctF1NdgD/ZdIA9RH3IH +dAf8Yz1V+RYm9hPa4XFU/A58Du8Bq+3Ke6tVO5jH++LEPO3hAf3bmzf653lF +3K7neUPcrud5QTyP1V6eK/RS+LsA8+/3qHHBSOE3AH+CfNR+ZxL+Quh/sPNR +HzDqa3iT/gB+zgSwmv+TxPi3bV6iVt8sSjVPMonJWRln4n46wNBXwR/Uc/w+ +oh9tHr5CHsJPpvIleQ8V6AJ8kvt5kc+L34F/A1bp2p3pPYE2fnR+r5Tql70v +fqfql/HM3pN8XNWDZF4k+Apg+AE1OZFoUw/PUQ/2Bc8HV/FwVcwbMPAJvgx+ +jXmBX2DegMFvIc9Vf2G60E+gj6nxfdCRzEtQ7XvpL9DoybYenqMe6AByRrX3 +pD6m0s0TG3+Miq9AgS81H0vebwQYdiXoQs2v8Bf1Vf+AUYxLtSt1Qm9V43W2 +fiCep8XlCfYNl2tqPNRJwJA/qh/Ag+kz10V7qhwxiveqv9yTuB3D/Qr4HfQO +4BWwKh+i2Dii7fajngvxtfHDqPqCQdgBwAufN/fb/JffhefFquvizNbFdh1U +2EPUt4dnHrdQ7SzbPFse10B9e3m1PO6h0oFtHi2Pi6C+qq8YWZ6PUex31Y9j +e4+dmqerZ3qxvCdX1VekH0j100t/Ofdzq/l4oUy/jBTtqvMwCT0AMPwt6vmU +WPF71S41Cf0JMOhT1bOSxXNVvkv/FN5DfsNPBTtEjdPze1dhjyOeJmENH/Hs +/Cf/ro1O1NfwI2HYK2p84inTax6zOMNjUV+jWwlr6/WE4U/mWyO/QVt36K1J +gt7UvEd5/gPyBvkI3O8Auvt/+x1t21XlGuIKElb7led4gR/Qk+o/43H2CGbP +OTN54Sr4EuSnavc4C3oFnwKM+pBvnI+hfbU/b/bem8mbAKFHgK+gHcwD/YIP +oV91ntyu5XmbnjZ2vcq3/Jn8CRAw9Bn1vQvj7xyvnuy9t4Dt2c08TsntZh6n +5H4HwCrdyDw/DkNfUr8TYhv35XmunE8D/6reEyH0Fawb7H6ss1ZKux90AHkH +PEMeAlb1P+S7I6/mlJBnWAfIO8DaeAKFnw/9A+8YryoHpV9Lex9v41dUz9Fz +v6JB8EOVj8h7swBr/ALfM0oV9qDWf7DNORQul+zJIZ6nYO8ci71zKypflfal +avdKWJVXKSKP40tmvWQBY31gN/I4Cb+Xgd/ThXXU6HAlizfKc/x4r7V317ru +G21+p/3sKrMjfFgel+090+q+sj1nDFiNp0h6AP2r9JHO9D95fhX7Qnst/Ypa +fT+WL3Lfhv55XhPkLdYDMPwWkL+AIX9h/8Hfrn4nNl34nbV5SVibfzpbL/nd +CcyTz4PPU+XvsNOx3n5i/4KPIr6t1Qti/CqK2e1xQm/R6snvPUAPUO8PwH6G +HpDA8HtV0A34OOgGMMahjTeM7Uf5Hnwf7UPOgI6g38IOt2engw+r+Sphgv4B +ww+lytUQgU/wJ8Da7+DfknkrqtyS+QRauxKG/on6/ByHyq9s47gqv5N5r+r5 +xyRBh/BngU4BA19qXrf0j2njlPXt9aPGo2Q/9toFjPoaPiWMfpEXB35qjw8D +Rj17fFk955MkStAJ/BH8HJF6/tw2zgQYv+NxLcBqPds4F/xg2rjk/ZTqfbFu +1n1xW/Bvzs/BP7TSW/AL+CkBgw/a45P2+CJgrb48p4t5Ap+gC3t81B7fVPEM +e0yeF+alah/x+H2kgOFng32C/Q9+DP6ljT9YtAtY5U9BAga/wH5V5aZRrAtg +rd9HNuc2oJcC1voxiHECVvmlXvTH/RKoD7kNWJXbejFv/B4w6qv4NtjoXdCj +obdCngOG3NPo54qgX20/XmDwHaHvas9DbPK/+X0UoF/gDe9Vuz3WJs4Fuab6 +M1Jt9Hy8h76r8uEIpt+HCRjj4fdBQB8AP9Tw48LsgCfseTA7TxrM1kn6ldR4 +k4xLq/zaIPizmrfgyvL/XGzGyb+vh/dqvEzC6vd85b1wWG/QC55zWPULutv9 +nUZfz5meJ+8xwXMO43fq/Uu29dR7PmQelJofZRa/53mlah60bR6p2l6yoEfI +FfVcQzIbRzIbBz93YL8d3s+/tyPPEarnaqAvynuQIacBgz5UvQbyTco74EPN +75f39qr3WUu/qIpHE8Mz/46wfA9YPc8XyfAiv8erxq/sjUueg7Y3Dj5OPg41 +X+a62Jc87oXnWukk+K0Gr2Tn0VcyuRLG7AcJo57qd0lg9oPMs0M96OWI26r3 +svD7YGQeE+hPvW9ExpvVe+Lk/RPq+keJ92qcUsIqH5bfRwH/QH3wGzV+7Sn0 +MchNlY5lnq4Ky3sj1XvFZb/q+VJPu+MAXlX/vi1euf6ZxfqHfQh6Ub8zK7/3 +DbpT/efXRTuqHLP9nb12MC88x7wAq/vFXfAvHidQz73KuADasdePGgc1s31s +EvF86J0qP5LPUY+fA0b8QEOL/K4bYP7dYewjNS9Wxh3gf0N97Dd7cQp77XA7 +1V6cBOO0Nw/sL/XezyShZ6j0IvUC7Bv1nLCR6ae27ah5e/J3vB0VX/IcPvRg +1V8g9VI1bma7T7Gf1DzMVLHvuJ8TchLv1fvKUhgd28bNMA41ridhxLs0fmgU +/j5tH85keVK4P8LWLgSslQHsvONju3Er9Tx+kBiv1m4Q289BzN6QcU7AWhlv +c98eYNV+OMD04QMs79b2nhnVjpf+APV8nbwHjZ9LV/WlZKbn2q8HGPgFXfJ7 +HjBeNR4t76kEHavnC9MYv0+zqQfYXj3Aap5agJBr6rkIA9vverH+qJ9ZTeSH +G9i5Kr2wV/49zi7vH8FzrDP6AYw4hUoXwUxPChKwGte4KupDbmmFjLthXSB3 +tXbCmJ89jOVRJwh9CfwdMPgufqfWs/WToh70GcxbjVvKOCbGC71GzRvEuQIe +x0oS7ajr6SrmA/yp+03eVwI+Ar+Cymfkuql4CxJ8CfsB79Eu+JcKy+8qgZ+o ++S2ujI5dSJ23N8OLp3iv8j/5fTr190HiPehaxZO8VxTrqb432OjRmJcql6Wd +zu1zNX7J7xE12NgToHPoK/BfA4/Qq6AXg1+perKt3aj6oW3zULjdp+pZkj+j +f5V/Q5+MF+1oeIlk/NVso9+BnlV/wAGhXwNW98V1YRfhd6AnbVy+gm9o1eU5 +RdU/48P8BvGMXuMFXnkeJehcpZswFs+XdhnoitMTYG6XcTsB+gb6xTjV/RYj +9jVgbV7hNnyH39Ou0oe8n0zlPzECVu/Du87wdp19n9ZXvAeM92reWgxbH2nX +YV9gvKr8CBPrBzwD5t89V/PB+D1q/LvmRrY/5TlO4A8w6kFuoT7oAfUBoz7o +BPtAzW++KvaNqvfj/AB+/1TwG5U/SX8P8nhUf4+890fNh9IL+lf3czzTo+Dv +iBD6I8/30dYpw+ZchXqOy5vdm+rF5H2Q8NPzfAfEQzE+8C+sK56reYvy/h/s +D62Ufj7oNTyeDz6k1Yd8nMnOq+F7GTIOAz4FfgT6BqyNS8bdNDpPF/lhqp0l +nyMOg3WCvaOeu5Ln1MCvkS+PeoDRDuaP/ab6JdIFfaEeYKwX9hPoFf4WDU8J +TK7I89jqOSQPlv8g/cLcTwy6VP140u5V/dpmYXcCVs+Z6uzKOZWvyHvhIO/U +eIM834r3oDc1Lzjc5ruQsD8Rb+Vxc5Vv2JM7EWJ/8HtMIW/U+IKO6TXynmv4 +9xCvBczP5+I9YNX+ln4yVS/2FvQBuaz6aw0CVukuRMxX5Vc6sa6gL/W7ZQl2 ++Jq8X1aNH6XY+AUAq/cfpoj8KJU/GoXfCfY/+lf9YNIuBX/EuvHvhKv+CVs7 +E/wT8hb8FzD0EuAbdK3qAzweKs+7YV9z+1KV38Fin2K9VH1Lwip9RzA8y++m +AobchdxU5QXOpcOePMXeu4r3kLOqvJLnDTBO1Z+lY3qzjsldHrdMFvqNer8U +//6quxivqtc6C/6hxg3jRT8qHceIelhXld/EMzte3msLGHJWe/5I0AHwoeqZ +0i5W5bG8lxL7DnSEdtAu6ENtV363FvNDO9r4XYS+hnVV/WFXWdzIwPAhvx+l +5l/z7zXqBD6wPuA7kE8qHUh9H3gGrO7DBFEf/A16KWD8DvQPegBfBax+j8CF +fedIz/iLnvEd6L/I25R+W/BrHgeGPgq9CPjR1vOB2L/QOwBDvqn5nbGMj0n5 +gv3Cv7uAedvDC+L92r6OF/RVRdEfQgR/At8BHYEuNfxfFzD4gzoOJ8EPVD5p +ZPSVxOxu+R1YVR+XcUj1fIlJ6LVqHqy8p1ONr0ewvOsIUfLnKp36Cf6I9QT/ +UP3gUh/Ac/BR1T4Ms6FLlV9KfV3DZ7yAsV/Vcwpyv3J7WpV7CWKdQSfQ3yHf +sX7qfbPye2NqnFLqk2pehYdYP+BflVdGdh7WaAcPkh643sjXDf2q9O/K9EgX +ocfgufqdmxRGPzJursbvEm38SOhfvQ/xumhXPReH+KXtuQQNlt8P5ec0+LkM +fl4O9GOvH8wP77neifdoXz0X8t/3tP47LM9pwW+v9X6Zxf8wfjOTd/he5C1R +Im8PJfRM2G9aP6ksvzHZbj30CzmIfBA1Hhcn7Ext/C9F3qV6fgtyw8TiXBLG +PoZ9ht/hPUp77YDeINe18Z0V+fLqfSOYb7rQy9V82hQbvQj9avQRLWDtdbTg +S6p/Jp7FI+LFvgOMfQFYtX8kv+Z+BtTXSl8Bq/nx8ex8eDw7LxLP+GE8o0uz +yFsFDD1AG/cpG7nCxwkY+OFxce35SnYe/wCLU19l34V2t/uc38un8kFZT+XX +MWLdoC/jdzxvQb3HD/JY3vup4S+BWjd9fy7CPY5+fPdLh4c7sF9kPY3O/vvc +IWCU9trB+iDfSpPLtucg/2vcgHEeQG1X7jvwBw1vkk9p/cp7NsAf/v3coNFm +f/9Xv2rej7xHAXILdpN6z1mi3XECVu1us9BzVT4ox6H1K88RYP2wbur+d2Ww +N9sX3mw/BrD6QYxfhNnYKXhu7zsBWv0QoZehXa2/DKH3Yh8jnxrzt8cHVD5v +ew4MsJanL2FVHiH/0PYcMWBVbqWycUj/iYYHb7HuqKfN97/y5uW5Dfhl+bld +9Z7ls8y/i7x9N0Hv6v3GUv6ArrXfBQlYazdYyH/sU9VekXay6k/UCX0Q49Pg +3QLW5nVU6A0andwQJZ5Dj9Dgp6JUn9u7J9/E8Gli9JHM6AF2kjy/weup51Tw +XQ4944/JzM8mv2cHGKVGF8l2n2P8av60tDMwX7wHP8M+4d8dxbkH9fxDut3n ++B3WWz3fk8Lsn8cCVu+3MzC/hEHsc8BaKfN5YA9Bv8H5CsAa/mMEn9Dw4szo +MUbwJ9UPIb8XCRj+BtTHfgYMO1Xlh86MX3ow/ujH9KlApi+FsPfyu/bqPTA6 +oddC79X6cxF6BvR21W6S951BXqvxBAOTK7bfIVDz4qSejXsBtHHEi+fYB9rv +ZdxYledS/gL/Kh0nid+hHvjXv8uteKbHxdu8V/MGE5geI+WrRueIe4YKuYpS +9atKOauWuMcReTPIK5bfr9DWPZzxL5lPjN+r+qiLGKfKD5wYXUi9VY2/xdFo +w6pahSvH07m5Z2ad7JIkfqf6iaXegd9zO0v1o8j1B6z6iUKFngI8QU9R/aDh +wo7S6ocL/qvma0s9SZ2nUeAbv0d72vjld5CuW/UU9XsHYeL3qI99Af0W+xX6 +DWDVvwH6SyXT0H8GlK4s8aGut06sx/nM9dCJ+hFW+lL5VRxrP1bA0DdVfmYU +sHpPRbzwh6m/5/ImWYzv2b0We9Mj+Pj1AtbwkCBgXmJ91X0qvx+i5hUnMTkn +YdAZ+I7qlzCy38Ww/mV91d8Muzmc4S9K0A/2r/Z+pc3+0vqX4wU/4/sCMMYD +usB7lR/zfM0kMR6Mt4pV7oJ+1flLfyf8cXh/3aqfqfUj2L0MRlbfwOjRyNbF +IOgX64jxc/oAHwas3vMo8yXU/l4IvKq/i2T2c4Tgp4BVvhwn6B30/fcPT243 +nSzjmuhfPccs56XmVUv+iPUHrOZ5xDP9QeohKn832fhn0C/oXtVXJazmhVwW +7an0LuWH6kcw2Kwb5gf6xPwA4z30AfXccyzTs1yFHo7xYT7qOWk53yz5cnh9 +do+jv6y/B7wxE/YW8IvM3wUIGP4ywJ+t6wm4kpVeZ0yp3t/fAl+18kfAGn+U +/UN/vH1yWOb7yVb9rE2ZEvvb3o6jhbvOfqzW4oqAcw9f4HfSy0vA3TMO/dQs +8ZGAH7cdVWdsziD6tPLRvG034+jCy5P1vu4IE3CBcfWeTq6aIOCGlzxfX7uR +KGDf4DxrIrMkifGKczjTtf0HuGu31P+xH03i9yvulvK9Udksfi/0TOvvAX+0 +1o9reHxMtWtR4vdjf19hnDQtRsBzBqW+6f41hrUfL+Y74IcG7/WbgkT74610 +1KDJ4NPf/VP1382b810fAb6FPmwdP/wLaH9RO2PLrtEm0R70MrwvrB/zW/Rk +ib9B7/sV/9ZNL/ABeY35DZ+z7sjU7Smi/pEN80Zun8rf68nBOl6HzPHqBLx6 +7ph2D3dI2LFt3v3f5SX6gz2B9l/ue95gR6RRvId9gffuyQUpptILAbctmuFZ +KSZczqfVob5n8h8V8F3vPbfe97kl4FOzpp/a0tNPwK9z7sqoMOOZmE8dvwfn +b0aEkPHV365xFeOpz5NzFTzC00hvhcsVyNerQmwGqfiPolXWdS3TfkT+hKgZ +Au5rHQ/gkHxvgo+uPiHgcyXKuyWMcxOwh3W8gL+c6/B59sbbAj5a7qpz9nBv +ATtb5wPY98/OD3pOfCDg1MvhKbs+Bwj4b+t8Af+wpPG6aV0CBXzw2NJSO7cF +Cbjc42EHI7qHCLiuFT+mP36t810+DMhcT7m+rxxLXTre3STeHwiqp1/+NZHM +VjiDvfcp7ZX70TaTeK89N4j3RQ6cD06NlvQJfpP945IjWQX9pAlY85NkiPby +XzT2HXYtXrT3YyZsFu+bGdq8bzxNwm8KNV8yLTxazPdk7gvmLNdTxe+NmaWE +1zVd+dPOinECppPD/bJ+iRHt6Y43+r3LrlgBL1h/8G7TyYmi/pl7b8b+XE3i +52AmvpLF+0c/rNsw5KaEj2S+TxCw1p6En2XWl3CiglcL38mcb7zo77n/qUHV +OocLuO+ylIBKPaMFrOE/ReyPvj8NeZ51coR4/2d6RnL3rZECvjfEufnXbJFi +f2n4Mwg4qczBs5V3GNl6GMTvf6/7vMyyrEYB/5LJT2T9epl09kLwx4WZ808W +9PfUii/AWH/IJ9BH4Odz57+/n7h0QFhqdIbgr9CXMN731hLvNfkRJGBxTlWR +r3rB39cled/6tDNNyBPoc8Bn/0z+m8LkbyplqVA8sz70YIzncCb/lfIZ+gtg +4R9Vfq8T+NLoLVm8n2iVN+hfnA+xwrBD0P+Ddhp/w3tNL/EQ749b+Rneu1n9 +PZjvPiv/UuVZoPi9ycqv8F7Tt0LE/K5Z7VPszwkOs2aMq31FwItqxa7odMtL +wP63swW8iH0k4L9OF857Lavkby5W/QL0dSoTPwlC/82D+JCV/6yz6luAN1n1 +LcDhVn0L8HYrvQC+ah0/5gM9EPR6iPFLbf9JfqnxK7lfNP6pF/JenF+e/j/t +Db2Yzw+Z89GJ8WB9AWM91fH6CVjk21hhrI/6PksWzA/6MmAR51P0Dcl/h2fu +/yTGv8xiPtA/0Z64j1cZj+Rfe34uWPTa9BhabV1vcyb/SWP7J4XpgylMPqQy +fTiW4SdWjLemdR1V/TNR1Aes8ncJ98+Up0YxX/FdIqU/KQ80eZoi9jPsA/QP +exLzeZlZX/ILjR++EO0DRv05D5e8nBQbLuinTtv7f2byD0W/jBEw1hvjO7+8 +SKMYtygm76U+Gdq82a9dqkUxfEUyfEWK3+dO81u5rXqUGF/JYQHHbk6MYPzb +yPR3rk9KebIyUz+V+Ib9Axj4U+0HCcN+QntrM/WBF4xeJL+Ffa32J+XViEz6 +l/wb9rE6nnixHokXjpb7Xh9+u/svk19EttpGOTZeq19mb5iwL+8/f5Cle3qY +2J/N/hg5pmChBPH++eFWnmlu8nvf89e/aHWhJX7vTXvK5OyX/EHm+7QNKPpD +zAt5r+ljl8tfY/W23+toU3Dbp/ezn1O2xSfSzj2T945e3N20s8Nz+T2OKWsf +zS56R86jzMx0tx/Xye9Hbuh1sqKpTYrQt9HPmZM5lx1fKb+LpPc7+Kre4Gjx +u9vzK2+4Ujta/K7rjCFDz76PImfzqkLLZ9vmH0Xk69vEuU4CxTbxLLSzt/w+ +Ofbh4G0fvBb1SKAN1QcW2n7qf3zvo1PZpekf5ffLMZ4n77qf6vLWIMbTeeb2 +N1keGsR4LuQ+VvjTQYPof8g/bzY+zCO/m9zFwVz6pKXfJoboP4sXjGLfJU6g +vmuGvmjcJokKHeje4emSMJav9JJet8i6odztFEp3vFluTYr8vualVtPMfbbL +et3nrd7Z5VAY6bun/bCp7xXqVsL75rvCCdTPu6DfnSOXaXCv36av+6wj1wdL +8l4t5kXFxl6YXNiko1c3v3acafSnCX37OAwN1lH7xQOebh/+nAYFlK6815xB +7TyWh/cvFSTaRT87lk7ek7eyF10vNcV9ZNcw2pTU1un37f70U+5OTu3SQsnn +VNC2WUfSaGyOwl8OnQ+jBivXf+39WwptzKSDKMrxY3S23nMN5LVqx+08D+PE +ODFujBPjxjgxbowT4+61N6HB4oBQinZ//Ky2l458No1xG58ngQZcOd9pcz8D ++aUt7R1wLpEa+Te+fWqUQZR4jnFhnBg35vH6S4Mc7yx247AI84ygXWkCL8AT +nqPehjeH23UccEuUSUFOqZ3emOhijx6uxUOf0euNVe8Nem2iEuarK3qXDiRT +xh/XbjdIplKZ+yaGMuJrdvX3uk8OY86XntDZTPm/Pr6ZGvKMVlDDei3fyN+h +nekbcu8pnjWEThxt0fzPGybRDtot0H7mnyeXpdLisjVDlzex8C+nu5+OnE0l +16gyHk8s7/Ec9fAc9YIiFwwYGSv92y5R/tkdRsl7NqqUjW7VoIw8z4Z6+B3q +4Xeo57esybC6ZeS5qRY7R1XzGJBM87Y6dXhUOFnsh0ZLpnbet9ksypAZS3Z6 +l4uj4RHGrw67ksjTJaOF771YmvHR81KuszJfrlOT3Fl9Q5JEPfwO9fC7vKOG +bFzgaKLXh0/OXnvRTB+dHufatNpE7au+6lPurJniHX6c9TpQfi+05p3hwWXr +yrgb+Fm3/udaZC0h/fCPnkWaFv6YJNpFP2gX/cxsnffF8el3KKBehSa71h4U +JZ53rlmsrku8H92i9+ktx3iIEs/rPny6MrVOIA2NaX1l5wo/UeI59ELTz3n0 +5vNuQk6UyHv+4/PT8jnqbYvfP+NCYz8hL65/3ftr2TvPbO7nDsmd42J7d3k/ +Qk/LoD+lyueoBzwAL/vbGuLvnfGhLA9OBScOlOcqgVfHk3mnrPaOIL3/r9/O +/BhNujaBpy7u1dG+8y7Dy8y22L3OIcPzNk+j9QUvF5lfJJUK5s6IjGuVTksT +Tnb1+DuFnPv8XFM3KJ1SQ5pO6PAyhdq/GVHBzVN+D+S8Q81bBZabaGi+9e37 +Rr2gbuNurGnxLlHQaVjOD5PL3n8o+HoL08nZ5WvIPNUznveeT1gn78FGu1sc +Lvju9UwU+Nh21fhgc45UGjzSGFgpSt4z9C2qAt3VR1O/fr+0nDtyD4W3Op5n +elg0NSmZ6Lqs51mq9/VepTzXjHS1b1TCt9rONC/Mqcapq0ZKnLXeMH+yM+nb +nPP7I8hMT4aku3+edJrc+89y/eAdTfkPjkivf/gG/fH1fZN012j6XGvs9UlL +7tG2qlWv9l1qpA+54wuMOutO9Qd2Ox4500je4RH17my+Qz2ufugyfqGZug1u +WfpD23uU622pvqVmmWlGzxhHj8WelPd8s4Bkp700+FiulYOHPqQmq1xLjj0S +Td3uBBVYcd6X3KdMTX7V6SZ1DaJWr/wDKX/zdxE5fdMpOM5/4oIxIbSgyMUu +uoWp9LbGsK3eb8LFvIEHzBt4wDwwL8wD80K/GAfwBLwBT8Ab5g08YN7Aw7HR +YS/q1btPp/e+ubaxh5EO1JkQkR71kNwmFa7q0cRIrk0bLm9630wVCienFVqc +SMvHDZubfM9MA/v+PPbxhUSxDlgX4BF4BR6B13dWPCy04gV4At4K+da5e/Pl +X7R7QIhXv05naM+FH9ckFAymmkH9i+ceEkqX+s9z+DArnt4lHliw0bIvpn79 +edOzMnq6vq1J6Kh2BkqaU6fiRMu+aPCD48TPzdLo1Yq+528eM1Or00nzX424 +TlUSnjeIOmQm38bhFb42vUFu2dpumrbPRBVmDX3Ws0AYDX+7tabPMBNtPJnj +7Y+TIqls8ugc6SMscmdjQ4NT3Ui67KR3rVDTRKOqPhjbrl+saBf9oF30c67j +5Q5tN9rmiy5f0aDcHy/kPYSoh+eoBz5Sb1JSfOrfSaLE86nHDAtPbpfxrQp+ +PT1/WppEPYpOvBDQLJ48f+/Y7sCEJAq8n8NxfVw8Ne/6tsqSiUlU9NuYLI3C +42nw9IG1Zp2Oo307ErLt2pBEMTOv7fs1Rkc3a1aek7dHEh0Iif/97BCdtUyi +CmtfrstYo6MdpuS6SwfIcyVJYff++XjLLPxAO2o0LfGgpizx3O/S1By7Lf1c +OTOt7hxLv+gH/aIf9It+0K9HTceVS4LNlPP2nICf3hvFPDFvzBPzxjwx7z+X +73jZIYuJQoZ2/738DXlf14hBza8+nPuU7pe8vTo+p/we7arkS8uL9pHf0wjY +1m95nlkynqbRs5lmuQ6JLeFloPh1PfPOfmkmXWZpoG6G9edMOkt7dcs8c5ht +pKwDqgeu1Ztp87OK3ofGGsU8MC+MC+P852bVr782CmX5RSHiOeQE5MaqGT5H +Cu3UCX6OEs8L+Xw8/NepDHr498xW9R+kUBdTctY67TJoksOSanOCU2jh6dJn +LppvifzXlr4lfjj3OkqUQSNytb7xyPZ+DuAFeABegAfgBXgAXoAH4CUx6e5P +H9eeFKXT+3qOr6qG0tfapdo1rCxLPB86/8jy/Jfk93K35Ougqz/V9nsgr1o+ +9/qjboSQa+/qmHt/632WtpXbsfCZj7wH4es3j/f7H8vvgxT5fVu3/CHyHEfD +G+Xjhu2W3/dwbjh0fYGz8txI4FqX/T8Ml9/32NhjVY89Y2Q+Ln73upb5z8dr +5XdPn/1NhY+8kfeWtwp77e81NVCMC+PEODZ3bRLcN03ah0Mm3na74aKj4DHf +FXjb71VAbne75Ovz81P5vYqWSVVPdDkaSI+G5pwcmn6HCu3U95+4KZTSuzs6 +VPwYSNVXjc8xclUobU2e6Zp/0HNy/7o/rvxRHfW5enz/2wuxNDlns6AcR3R0 +rWREWqkf4yih9JFszUbJ73NCbkCOQG5Ajlxf3W3H4lj53blWV350WDnzmTzf +69S5lFfjVFH2K7rmS/vRqfS0Yf7quRxkieelvFK+DL5hkbfzBkcUrJpK9ZO3 +rNDfk/d4RIUY0jdZ7ITK+U98Ofg1WPB9yIEhVr0IehLkAOQC5ADkAvC75njO +3R4OJro06fXa0hRNFR4eyleho4neX/ytc8v30fRy1cZHd1pIuQE5sq9dyaXf +Osp8qH4jGvgeipT5x8hLGXI659jpl4yi3gufUU+/dJT3tc6PmPzXmXGyxPMa +VUt9WzPMTAuu1qzRoIKP4HPge8Az+B72NfZ5ror/1Jp7Zg19bvH46P1Kdy18 +e81euhtKiW1Llih85gn556rYu9idUKr2y8Z6jj5PqEaDhacmbX9BPRfmC7ha +OZrqXGlX+8D8cHq7p++HCyWjyXN1Ducvp3X06EDdzZtnR4sSz8GXwKfAl8Cn +Vt/Llupq0XOLGXosfdFK6rnQe8G3wMdKRl9xnL9RfhfhcYHbS/8q4UeLV41/ +lDefD72N6+n/+7f79IdH9qYtrlvgOXlKtMguvwcBOgfdg85B94m7gm9MfCLv +p6j9W8NGP3QxU8SxEW8mXLxP+56Zj0ZHnaEfW1QPeb5lthgHxoV+0O/BnPdK +mSbL7zOU+25l/xFK8d/dKAeCaOv8YX90ORdBUaOH5NmZL5q63swXc/6A/D5D +0a61J01payCfqe2nd6urp6MrnFa5ndKT76MqZz43M1Cvswu2r9n4kCa7688u +ybqR9C8GrbodHUjlV58/Uuz2NfJb0n/Tx/byO/aNWtXz0f8STcPMpZ61LRZG +2QckZzi3iKZepgLNG48IpQqDvJ4WrC39VqcLt591qXg0PRkWsuf92XAa8cf2 +Pb6PTPRsaLUxB9yCaOfJYiHb/EyUM9uBVeEfg2jSkAcHCne38KXCRUoP2Z5A +s33+ufW2m4Fym1v3Kr1D3pfl+5PXssJbTOJcQdiu2rtbnkyjfP2+VL+XV363 +9cnGX3/d+zaU1jVIWVLi5EN63XDS1xqXdXQw9IrbvZaR5NC7XMugSzr6gRa+ +azJQ3h/4c+fIK9ksfOtx8eHhlx1kWe2d79pZKafo8/H9LV16HaB303YaLiae +ouEecU2arz4g+Bb4mENU8I0PrrLE/gJfO+Zdamu94c/oSYmDsecHPxUlntep ++HeRJ51CqcyMBo3uxwbTrPAPDp8plGp3DjVNKB0ixus27P6Fcha7DXmLl50N +BT9XThZ0OG2WMSYgezItX3th44Yt6TSkdek/231OolszG7qn7U6nP8N+nzT0 +UxI1OJ52JLpFBhXLaHL2WlISTci/LH17oQwqv2jIyW9pSaJd9IN20Q/aRT9o +F/2gXfSDdtEP8g4jch3bdbyK5XcH3HyG9JL59clHNzumzUwW5dtvY9YEr02j +Mt3eni1TMpmqTjjv3bd3Gl3p5VViXPlkyh95albb/MmUXnXwpnuv02jX+1lZ +D+VNtpbpVCngkqmjQX6/AfXwO9TD79AP+kU/6Bd8EHwRfBB8ceftvw4//SuR +ps96s2DNG6Mo8Rz8HHYy+BL4lOBLVj4FuQw5DbkMOY19gflhncCnSk46MXJH +tCwzDuzbPbuWWfChkKOb592paibnokOrr/PwJ+elk0u0a2KmTuM3l5h59QEV +cf/46Z6DmV5daD7YadRDynnlYWDP6Ei6dLtQYoVvUdRrxaZw58hI2lX4SsXG +FrhAlTk95nWS3xsHHwJfquc34oNTnTA6bsF+5CkfClq0+NPtUmGUvr5s23xD +7tPavBuj1/aNpjbzx+34p3Yw9e/y+7Go7tF07uax36tcs8Ajv1acWS2aVv82 +zb1jlxdU/PDsNndv6ujswtW/t/j8giq3rHrpkAWefC965ers4fRP2NlRFfsb +aVaTJd75QnzofOTeYicbGinC7c3SmJH+dO75vNFeBeR3IZ1q7rhWvIyR9jab +Uf7Vzic04cvG+U6ljJRUr+TlyNgndGJ5wQs7vhlo+7WeK7ZOfU4tllWdUSqn +kepOrrbP2RhIGwL9x1+PNQh+6nC42jxzuoFcns5oOiZbMA3r7exy3migq21m +FluZEkxHN31YXtrVIPTXmg2MH/Y0MdGPgSfPHeoaY7WTkykk026OpgGZftgU +oky/bCT1vVmkzSiLvoUS64p11ujChbpXnluy/Njb5D0s/dOgnCahx+9755k3 +aKC8f7DFw4TPxl8NNGDYuF1t3uho3dic1Rofl/dvumx2uLv9uDyfMb2Uv6dx +uIE+eaadfzNIR33/quM2eKiB9pV0/JyyTEdHhredXCu/hV9lxlFeSH22Sd1L +67feFXos9FroMWvmZr1ytlG0sDNhd95cUu3+Na8wWn7iZXlDseOixPNyJSeO +MAbEUPdzN2v7/mWgyIkvy6xwTqPJ1RvV+XllBsEOwDgq1lvUc5RFbrdu/jFP +LoscLxjQrevNEOlXhV5WY3LWcd/1NOhl0NP6zI8akRiXRHd/dXritTuDJl9O +KfkxPomm5FrpdXuTvAfr4Q/VPrYcHEOjM/3tySIejPz9fhcKFq1RVU+BhU5v +Pi7OReupSKexzapa9mHonNHxdS378qV1H2Jf3l0cMnH/t0e0pne1Mn+VNlOh +fyIbfrjlT9P3Xri1z7KvS7+6fHRGK4Pw270P6jW64CB/m+8c6zOGtEjRPaNF +Vr0RemT5uNCgVq3NQt4mlh6we3cBEzlcXBBXo2E8/VXrjfvfeUzUb9P8ij5j +4ulTsRPT2n1MpOxJQ7fdzamjyv0rbXbKaiKn+hEfp9yMJ8SNgH/YP/DDIu4Z +WN3FuPnnx8LPDH+k8Mta/bSIW0F/QtwKegTiVur9qTKOCP8l/PA87oS4FJ7H +tfU8UjMtjF7UCDaYPRxFied5+1Qet36FxX4umjbhl4MGgTfgEX6RbY5taXSj +ZFHiOeJkiJsVmp/qkK9sEp082NjHYZzeJo43OrvXiD9KnRJ2o9bfKTp+bN2D +ldkPit+hHcwDcTb0e+LejtDXfhZ+mWnHp4r4OtYJcVnELxDnO5+5r1NEHrf7 +3Cs/xXonUuy9Do2qD9CT28GfEn0eW/Ztm9N/FU9OoKgp29esj0mnbVGTW727 +mUZnmzTfMr3GQ5vzBBXPBOeginfobZGUrX/H+Qm/WU7Xh99GWuD51HXKoTke +FO7QYPNgN+n3R4nf1Vi+KNvN6oFiHW4lzMrZt3Ig1Wzo45W/0gN6t7DGWReL +Hj7kYPDbFmX9RT38DnyuVs3+bxYcl/f1/PiD5+kdDQ2Up1vrT9HXT4tzPJo5 +cp/GnLpcpcK++/S+7YJp5r6hwh7t++vV82F7bM+h3Go93j9/8VRyubr+RI++ +ZqFnIt+7Qq6Vg4xT7lOO9GHe35aY2PoE0jjXgbnNf0u/yKM8Z1f4XZR+kYAq +RUZ/95O8tPpF4CdBHArr6r10/65CTU/SP2OKxVww3KZ2+880v1vxLNXo1LeO +247bFOWQ+3nrHn50wzT7/D83vajzBeOWDUv8aLrnm+r64Z5iXbBO0zduc3ns ++4x6tP+6dtUvAQLvWAfgHesAugCd6NyGtuli+V3uL2mjt1naaRjzofXlSY9o +RJc+/WfHPBN0Z4591vV8zmi6UfC7wYv7oaKoo9elH5PKRdvgK3VZGvW2yLU6 +fs8Hn+75VJ4bc2uStftV+d0eyMU+caGXri0IF+sOOqhb0XFBx18MNCr7+xLx +xWSJ5zMP3Fl3aXmisLNR4jnoBHRzKiTP+EqT5T2L0OvmUPf3zQ3yHjfU231R +H9crPInC6gRv3hybQUPS95c3WuBhmWUGjT37Ka6QPoHePuk4s2kdy+/Gt7m8 +1CJXkjzyJpy0yJlZZ5a3nd4/mW63OLk+24IUuvJtcE6zRR/vkeXUx+KuKfSm +3+H0iZ2SaUy9AcM6f04R7aBdtIN2oX92e9Mkf4PXKRT5oeGHAu3ld7prjJh2 +2Uzyex3F26Q6lV2WSAfqZ1TuO0yWeI59gH2BfYB9MVG/ZE7vWv60/UydYrHZ +AmmPLvvn5dFJ4j4onEs4vHlW/5xe8n7DUXWnbRrp/II23and6fM6A7XxTbrY +7kSM4K/wq825Ff3XFSeDGG+5wmE1PzaW98HFztuyaG7x57RWf3tqeA4X+lpx +X68PhZ+TQ3P/G0tfu9Bnd9Nan4lhgi/hd4aRbXwL1H5IBfpNTTuaphP4Sc3k +yzrq8r1wlHyx/4yN5bs1ey7aub6id2nz1UA6/fHCl8HhOkHXOaad/RwTqrPo ++1R7c2IgBfqU21TfT96D9iTHl6N5vXV0fl2t3EuO/o/vtzjvyrfDogfeqzzz +yDq3REHfhk7vW169lEjPqusXutc2CD0KehX4XvTRJb9UvnVa2M2wo1sdKdWm +u8VuTtQ1GH/DYkeXtdq5ta12b7VHt9pvtNi504bFbSzbNpTuNLrd70fXeArO +2EQlLXzyxIOEcU7ZdPSw4JyNUTt1Ik8AeQMVNjQse7CNmd5nX5PQ44of9Ww+ +oEqvBPk9c5R3+3XJXcfy/HHVcr+Nywike/6Lc000Sj/hg/kd6NA9eZ/Oyp4D +fmt22ETl3OoFJXQNpawBDWq6nTBRkXPLLy3IHUr9TIYKfc5IPtz91qfl6Uvk +d4Z8Ktee0/Sg/P7H+MWTt/wy0kyzTgUMPLNT3iuC5+o5HlnPJc2//YtQE6V8 +iy4e/M9zKtdqtWlYrInylCqzMPxPix1ofH2wkZOJyvz8vOFMJ+k3gf4DuwF2 +BOgYemh0/NeteRs9EH60oTlPNN/cI1Dsu3W/HNq+5bQ8Fzu5ztrLzXOm0peL +DneOXUmjRv9MypUnRyode1ZptuFWGumsfquyVj/W3ZWmhh9/x/nRIPqQeuWt +3+BQ+vPh+D+cCwbT2vLbm84ZEEqHamZNC24VTHnO9px/b588N+no8zUinwW+ +0Cprtb/HxdNvhwpeS29rEPrx41G9d0xoZ6DVz2p2f1FGTzs/VSzY0mJ/uu7O +1nxgXAI19/w9y4Nud2n258Ift45ZRBMqNvUqczeRqmUv9Dz3Rj3tXV2g9L3r +iaQr1vAPxyg97T75svHoeQ8FXS8sVnvTx/56GvBk759XvGVelfq94QRq8NdP +S3I8TaRXRTo1ajP0OTX4Z4VnwO3NdK/GqQ+tHZ/Tu42j98cV3kV/3juz7nJw +NH0cX/Hzq/kXaGfeCmezWNatzJUm/uFT3Si37/dEHIsdU/B7opQ7zV7+oPDW +K9F0fOrE2I1tPGn67ZfTKhTaSEsWRN7Zuukhvf20ZW6tTdF0rE7tk88c/Kmg +b0rZixa44roXLYeV9Kesk6/5l3mno6Bce6922O5DP3UafsfplY4uZdQeU23J +fTFOjBvjxLh/7HugW5e71yh2Q8iFrjGBNN7DYeOoqdGC3/RZUG/F+VHRVHb0 +utR6A57TjgXulV+OjSZ37x5dm78PpJbPF1ecFa+jBjmOHF5c8Am12+RfPXuM +jnwOZ/1tYZ+nNHtA2KE7ATp67F1v0esOwXQ5V3zfoo90NCa/57FaO+U9m3vS +2x5dHBdNG/RVX498v576nq86roRJ4hF4xbi6f9z8068zomlKyTYtb695QpXN +Aza6L4imhZ7Nx+5JfUKHwgJrTJonx415YNyYB/jm5oGF7m3oFE17Jv7Q60qd +YIr7XGd3B8f/4Zew+ingN4Uftfn6yxuajAyljLcb251oGS38wvATg/9AT4Re +CD1x8aNlvwbsk/d3unV1eLjuWCJVndq6cL3HBipUu+z9rEcS6WSfcQOrmQ00 +p1+Po6N2JFJdz2oDn0010tsjzwx7LXCukQ6l/5xspLHu/+zunCS/I7v+Y+fO +LhY6vrMnJpupawK9Gt1sfglzIp0JLFx/rY+O4s6UrH/3H4u+8mS0V0JrHa28 +FrUxJDmRjuy4vne2hS8416AuAy12it+M55OOWtp5X7flpCx5zFRm3pOt3Q6Y +qX+dclWWWPj17+3uOL208LNFnVYXW1gqlfx7Hv2lRN40Stj9pML7KqmUK35E +p3Y3Uinb2bv9vucRwv4BHwVfBT3A7oGdA7tHv2Hz+q25ooVeCD8V/FY1sj8e +3MQCx08/XfBEZKTwqws/u1Xfqjj5xKbkJyl0/8y4dy++pVOG7+x7u6JSRF4m +7Mle+n3eHS3wxuDgEjPnyBLPnzkVylnm5Ula8O3njnMbHRclnkMOCbl0cqzT +m79Ngo4hdyCHIHcgh3Aes9euYUfP5g2hm9UftOlisTtzzH7xk5vFDm1cq8yE +W9+/97l26YFx26MJea6w67qW++lMwfsWflHSfKZPwevkG7l4z6cj0aSveqeN +Ya4vHVsf0rOl7hR97Lx07KysD8n/xzuBP965TKUXHiu+8NgDsa+wz7CvsM+g +F0FPgl4EPWlGufupaa/vkDFigG+vY4EUETFucp0+XjS86qtCnxcHijxZ2Pfm +zDy/dGvebShlqmnn023uJfLP9LeE0s5T8yq3C5ffHSllHXeAdR7OE0Ockm4+ +oM3nHHuc0l8UchZyF3IWcjfQGtdAnKOb/wdf949B1DiP3+wVflIOQy6nuMQe +dir6gt4MmNbHf4OJJrXV1Rk/4wF99u+/tOQcNzry+KL723YPSH+p0ZWhBa7T +5B5/Tj07OpAmehSfNq+AD4UZQrYNGRBI85aZs+00+VBt98lZTt8JFXGGjg3v +OVcJDaX145Z26nYugCrHO29e6qKjKRd2HZi+OopmtGuT5cFEeb/lrJnf/wx0 +Kay8a1j5eAqpNiWo2hQDhWaW8dRvwNmEKn8YaP7hlrmnvo2nyyPSqxQZb6Dd +vzSpsvR2vNgX2Cf3nItX3+OTQl6ZZYbYJ9g3G97Pr7tUn0Ltx/U3pNxNF+eK +u5kXdV1wREfuAQcdR8XGUCe9z6ISFvta09e8aEhooeL3RvrR+tKOU2Za7MwL +f+i3e3T3o5K5Ip+5X/Ui04eqDp0tduj1oLdp9VobKMvY0k29Runp5iBDoSfX +HpJhTIFtva5MYnF2V8rtOvKXWYWihX1X4kORLuX/R1wedIY8SNxHv7NK2IXo +0sk0dau577ajafSpx9MyPYolU/m95dZ+7ZhGL3J+bDW5QjIVOV7ezfdH+V1o +mnPh0Iufk+l83z9+dHuYRvuLbH7VKUcy/fPT7aOxHdNpxPjTf9XZnCj8jLgH +osHfXsb9i4zkGLUmZuinFNEe9Nlgy5Jss9D/o5MnCt8sGkjHGxcaUvlYKO1b +6p3jbs4gmt3YIX72rFD6aPXLwk/r5lz4QMQyHU0omOHYZaj08za3+n3XT70+ +3aGiWfgF11r9ih5WP2N857eD1pY1U4m2ld62vveI8h0y3CpazUwDL18/9eSy +P63o3/qfJw1xL9oD+mlu7ddv65qpQ/iFh1E3HlJsif5Xzlv0sxyjE0PfvEgQ +eU264r7tcsanUIEBXb/F/hxGcxbe3DGuqh9d7VE8xruzWdjHNW5dePfj6jvk +1aBb9gXO++lM/tmRbS1y6LyheI+lFj2pTj3HX3Oe0FHK8pRm9bfH0McHSeXi +Bxkoe7NiuvKWerfmj/+y534YXVp8xW/u/mM0b9axpoUiwoS+B70CeobXm4Sk +sg3CqPngYxvOtvYRfBN5kw0z86gzrHn/wWJfNM30jwVTr8qlXibe1tGCL8c8 +VpssesG3J8VrPkukxpllAt0NXpc9NER+n2DRoSmbx1ScSHm6dXz+OdBIba1+ +/t+sfn/INfjdzi4JcVteLkHIRd9CY05NKptA49qd6+uW4yT9tDHMPSlHgrAb +05d1D+qQPYFeR42Oun3wDnU+5jtry6tQETf49dcaDX1SQ6nwytwho7b5U6u+ +O+vfigylNk9cB36oGiDa6dz8/o7ASTIO22Vgwee++cKo0L5+lXsvlff2Hd/s +8jXrEgtsOJPtc055Tg/jRnsYJ9qDXQw5CDsXfP5Z+8Qmob7ST+MyMi1rjKv0 +z2W/+WnnKLdEIadxLgNxBcQZFrSrtdP02STukdn05lvKYgu8bE9UroVJT6lK +jolh825AHodQq0srvb7nnR89ved0iawhIq8EeSYP1npu7Fo2nNp87FVx6GIT +XQ49mbaicgRVK1o3D001UdNv2Z07fE4h/8q9Go3vlEwdFj0/eNPmO3MpdGTU +hAKDeyWLuALiDIgrIM4Avw/8QPD7wA/08FVAv8TB8J/7UMCwfqY3A830YI9T +/c9nfGhlvmZR4x3NNPRsWJZmM3zFPjiwJ6zIrQi5z7DvvCvOLWuq8YCehhZc +PXLuDWE3wo7Ec9TrumfAglYdAunavNbFvUvIvB/YmXiOerAzYXdiX2OfY19j +n48K+1LAvFZ+L9jzkmNZ/ZpEGrmvbe5x+RJpyTqH5EIrEylljGlgejNZD79D +PfwO9fA75DWLPOdGju+nTbhO15boy7h/uiXuD3X0dvAf09WDDpy+kEOXLZCW +6Jb1619LxlkQd0GcBfwV8gZ5IL1Dd6f1PZ1Gdy/3Glrn9wxqMmPy1uaX5Pc4 +cvrP+fSlKeJ1empWZVqH100M5Bu17XZ+fz2NSSx0NqiRgZ57+Re7mKIX9fA7 +1MPvUA+/K1tpSd2GW+4KPoc8aORF32mXbdubTg/pke+yoWMOHaKy0eWu+IYE +CjpAXvRNa5504yJx7+/cDaSNdwfuHxvmThdddesm9DEKOghxmbEzsYeRBlzy +c9xf/z517vT9z0i3jw3ys/yjDYODUt42Mgr+hDxl5C1vvF8y8CwZyavF5aCA +Lg+EHwJ+CchNyNECYz7W7hETLfhQpr+tdgK1Ovn9/MsUquFfYv+qCgn0NWpt +uVpLj9DNuGX6sKtGUb/bopFtq+8z0qLKu6uvGnqFsl3aPayxR7TkY01DY3IU +TKAT28yNKxW6Sld/dVzzOXcCvax/adbcP9wpNmP5qAXzjaL+LmP9wV+djNQn +eHmT/OPdyGuu4d7cP4yk3/4tcvs3T6rl+OxEyd3Rgi9if5w++cf7J54PhN8A +fgT4DeBHQJwdcffI4dMqhQ+9Tw/Hnkx1Li39kruKjCsYeUfaAbAL4HeAHwLj +eLh4i0PHfdJOgN0APwT8EvBDwC+BuCzitPuzvxp2YJmBjifsrV7oeqxYB6wL +1gHrArwCz8Ar8Aw/B/we8HPA7wE/BPwS8EPALwE/BPwS8EPAL4E8A+QdLEut +nLIoezidf951zL6bOkEnoBvQCegG+AYdYN1BB1h30AHwnZJ3w8DEtjKPAXkN +U39wPdN/pD89z8itW9lQ5jEkv6/22/b8Rqrs09rHeecTatxzbbkcZWQeA/Ia +tlnzGJDX8KzjYZ/CRst+nTQqV3AOo5C3u7PF7swWa6ALDd11s7IG05W+3R9P +TzfQFWsew3BrXsPIcd//wujp4+9/BvrkmHfRsPKhtLXX02dB4TLPIejgg67B +Vyx0UK/gHfc2L2jg2fPVM3wM5H1rWY2hceGUeNXw/T/quSXYY/FvUTRx+IhG +iYcMFnofVHXBiAjaPOi80+1LBuHHg18Pfjz49eCf635xw53anWSeHPLm4Fd5 +W3FKwU37pN8EfhT4TeBHQZwOcYSzQZ+eTz4s/caDW2VvP/N3k9DTljjvO5bq +aKIKW+7/WalJFKXVG+D+qaJJ6EcRTv06pJW06B/XfjZlWRVHGyzaZEBpEw3f +6v2mxrA46ve0+pv6tUy05Hz7FkmtY6lNpj4Ya80DkfdOa8+TrfGDGBEnymQH +S2Jt7qXW9Mck4aeB3wZ+GvhtioR+LVRiorwPLWHn2V2bRieR4/SR2ceX1FGh +SQ/uDhqUJO5v6Fq7d9qKEUkUUbZj0we/6Gh5zkIjgvslUeFaQ1+9O6CjbL/d +HNQqp5mWNtwb+DjgCR0e8exCYgHEOx+TR7Fi44YXNVPgz36z6vgEkEtwwtXC +P5tp2sdcjh97PaZi00aV8chlpoLlG3xOP/CE6k45GdAxv5kSvlT/ddiDx9Qj +YV3lK4VNIj8S8u/Utsan/AonUQtv1wKzk/S0qv+LgbkKJNGotxWdfCzysN88 +9yrnfk4SdizsWsQ9EAeB3w1+OPjd4IdDP+j3p6uHy5UrnUSFdv2ds/Y8PX2t +8nuBVUWTqPLUl788Pi3HgXFhHBjXmqGLvCtb9MbDUVR8ctUIChvq5eg4Tn63 +AeeAIa9hN8COgF15qm/hW5vKHqNC+cqX6+trFHoeziWLvAqrPbY8U08OofWZ +enOGzXeNcG4bdhTsKpzrRvwB/cDOGuecYCw55A4F/9Lmn/4j5bltnOP+y5rH ++dSa14lx4Rw39DCcI9boPl3sP9g9sIMwXpwjh90DOwj949w44m6Iw6F/nBtH +XA1xNuhvODeOuNpja5wNeMC58W914gcdbhlJx0dkcyxxWealIk8VcUjEJSHv +EYfEOmJdgV+sK/hrYGbcJ5XSMucRIfIOYafCbsU6Y92xzlj31lt9++cZd1v4 +z5J7LWkY5epBqzY3b5Elhys5Za3r1rXDberaM3VDZIkLFOPfb8t0i91ff1e1 +l/UjTlHn4xVd21ng/fH908fFnqIlf09MGLw9UORFD7P6+eD32/plbeS+FYFU +4VP+aw2zewk/B/we8GvAzwE/Evjp1pL+Xj0P6qjj4ipnEh7F0SCH1lsejjDQ +T4dLdGrSUkfpfQtsa94Q301LpYzYou3H1E2lFdlHhPw1N5Vuez6J++euiRat +OHAvaUmw4OPg6+Dj4OtYn8GVbr66SSb6Vrvey9dXoqjr4vzP9/YwUaXeL14u +6hpDjV9+KfNXE5O4t3OvY930Wr8n0811B71mjkihK/1KnR8/MJn+7nFh7NSm +KdQ69vnFLMOSqfaKp8ONb5Ipd7NWzQ+OSaYXMw+/8siXQt86PEv6ODKZfmq/ +MstNCx89FeFapamFr8KOhV07ukfvkOsv7gg6wX3Lkalbsj3ctIs6nntQoXtD +fB9+Jc3O8nj31Ep3ybPn68g7J9fQn4OyrrsQc4cuOZSvGX1hu4ijIa4GPyb8 +mvBjwq8JPyb8mvBjwq+J+OmyxvlTDpePpjXWvM5frXme4UlNfih7Lpxcj57Q +BxePFn5N+DnhNwL9Iu8AfuChcb95P97lR930b4vdnX1P6FOl0+fXqHjeg4ZU +PO0Qec1P4GXrnYquH/c8E/LIZeaFHJXdnlGDjp5hO24FUN46sRMOHn9G9eZM +32Js/Jiubvr90R8rn1HF8UWbtW3+hLbd+O3CqHXPaNf2lvNMeZ6Qx7qzjn18 +0sR3pXYUbHP8lHsabWnWf4VzeDql7vtr7lOvNDqRe0zdVofSqW7Bt3cuPUqj +foPXJbwflk71fkl799v9NBr5euj+J6vSxTlm8DXMC/PEvDBPzAvznGbN0+li +zdu5eS1L/UnunlRt+42Dnaf7UYDTlepLx4VS0aph0wtuDBL8BH7TjxX3d8xp +keMz3MvUDCsdT0PedSu8cb9FD24b3TSkjrznD3mH/bZ67vseF6rXud6c73Gi +KQP8GvfNCKRsJbzj6pRzo/Odc8QuaBot+Pe+Xgv79q4fTXVm+iTMnB9G+XvW ++zsnRVOLzm8HbDKG0OnwPx06T5XnpmAnw27GuWz1/m1pRxcydMr+JnsYZVn2 +QXd0zgP6MLJniyvtQ4V/J28Xc7lXPUPp0KQGV4ruDqbPzebfeNs4lKY7t7lu +WB5Ck1cmTHi9Syf0IeQpIG/hnVvJv8J266hd5zaB4z3iqfPWviezWepX6nx3 +uXs2Ha3teWNMLQt88HOkZ7kv8t5DxOUQh0NcDnE4xOUQh0NcDnE4xOVAZ3km +pRSO+JRETW9eqrQ+MJ2WdQ+ZVPpNksDHweiUJvlTk6jq+K5Z0szptDXnjuvL +XyeJ36Ed/A7t4Hdop7Cz7ktaYhK9HNQn4kT/DNEO2kVeEfKMkFeEPCPwQfBF +8EHwRfBB8EXwQfBF8EHwReT9IA8IeT/IA4I/AH56+OXhp4dfHn56+P0RB4Df +H3EA+P0RB6jqOzrk+qZEmjAy8c6U20Yhp+Hnh18ffv4/rszrXnyRK13ocHDH +2SMewk/X8blbr/Z5/Si1T8rTuTe86WGuwefqVvWjyds7hL8Y40tVd+S81dN4 +X/Ap8C3wKfAt8CnwLfAp8C3wKfAtnMvBOZ3n48YsLrUjgVq3L5X8pptB0AX4 +GvgY+Br4GPga+Bj4GvgY+FpS+ryea1uaqW/HCk8Tf0YeSiT9NuVQrTrfomhy +zlmNLo+Lom29cw7+8D6Kzt3qsO5cSwN5VphldFikp7F/vgpPrRQm/EmO68yl +mvSOFnpM4xub9/75WzQtv96rXK41QbR1YJ0frnWKpu2ZZQjVn/L72As35fdH +Xw5rljFskJF+6bO3Vp8SFjv7cOCo5TWMVGf1nflfhwfQh7bB79oGGwS/gp07 +ymr3pufr9eTJUwNlH1PnnqF+GJ1emddzaoSBat1eOXRnBQtfqZ4ttIwFXlju +Rb5GNUOpn9vpjH9uG0T/qfGe+Yb6Gv6/sq48nqrtixvipRS9aJBKL0LDVV6o +0CpFk5QnP6Ve86SB5pQy/EiaHpIyhiRKmWWMrtSTJ0O5KIp7neuec92SeiUi +v1vdtc/v9f7an7s+e++799n7rLPW+q4BbKJnnQ6GeshQu56ef58C/oEmoXZ8 +PdGLH8j0ZOt6roNmPgVW2hvWh61ogM+bNewPJlJEbkG9eblMj66YYeuleoOC +1g+Fi5L3vQD3/dd9Pkv16LeCxYpdUr16t0fx6CU3KVC4/yZRd8wLCPy1b1PP +dDbu8TufTIOwD5aTnioXEjkQ5cJiZuq7O75pEBEb8WRrZwGsjeto8Bp5B7Ru +c5wjrQphwdByM0FICuSnBhQ/nFhI/EzR7xT9TNHvNPVc5gPxdR74bexOHtdU +RXAuxL3wHExlfpwlF7s696fxiByEuCLijN/zxEhkeWNYORm/cygXfvfXZ+Vm +iUyO/q5vsPVhvdyLXM6uo4j+i7g04tQoN6vw8rTKy9g8zVeMF27SV5Tq3wZJ +f1sF5JM6RNgi3erZyGsZtlVkP9gifQ13ge/IdvT7rSbrDy70WHrTAuNCJRA9 +Wfu8wVQxoWM/pGO/AdH3S+N0W0HxW8vWjRg9etq6mzEM5Nh1rY95ShM7OtZp +KZ4z65xJJk38EXT07nU8i2f74Tjsh+OwH45Duzra2UNTW1Wu+SYR+RTrOjD6 +1yZU6/HIcx88IHCu2UU+4dN7K4+nPhoiIfzKctjC2RpMO5QPExkdXSQi/sF+ +RbNqXGahn/RLyFkp9h17lCb6ScPJAtvKEprwa6RjP/wf/F/v6IA/st7TRN7+ +nleJJvZxbJFu53aL1jhPwxya06thUUDsOmjnQTr2c67oomNMGIIXYp2QgSm8 +ukYb1g6Ddhmk/7Pedgux6+A8OG/Y3Z/+KH2H66VIi3TMG++3bIIwSkDL8qPV +w1VZnA8+J3xueM9Q78J75rci0HSLjoTobWgXk7xK7kt/QcN129NZ47/WQXaw +NRy3vwgq+1MOOC3eQb6L+J3E7x/akVYFH4rbVCYi/oY3uXP+VFxKkX0yg9U+ +fUjlE/4oiXqx9TaNdZsjiZ9EoLdWMkdJBLazB9SJbcVg8HZ/elx+O1tnQcLR +mOnGtkjH8cn+87Iid1FE3hh/aZx8aD3bIt306bU7a8YIiT9Hl0JIzHYFIdF3 +IxrTyjaLKfI9o7zSbu93qCP30G6hi6/Wojrg1myd4qnDhTkzcmtzbergk7tN +qYshF5ZX3c2+zOUTPjm48GaxtfT37aioYWl/8UCtERRX3+PDPtfH5w5VsvXd +US5HORzlcrxHRzP/GsdxoGR5bppkeW/YOCeSv1z2Xn3ns2J4pjKy7HhIG7lH +H/tGzG7zuEeev5HykNubhU3k/UlYn/1H/4Mm8t4YjTXMSIlpIt979espm+f2 +iUDuS+j8HdWV4LKjf0XPNorcc3yOdo73rUzNE2ExN/3GvJk14B+V4Xnl0TVi +h3KR2aXuKKS2Dvm9Dl442GV6KxdB0OmfS/If8mFP3JInP6XVwqxJCbeMw9tg +vZtZlccUIVzgjjrP3UmBTtumcW3pLTBVc3xmSzmfnBfmbfhnvFPGD3knSn7I +K5EBmHcCx2FeCuyPeSfQPoV5mzBu6sd6oZjXBM8X7WbyZ7NzN+5KgVWPtpcM +l76vOicP1o8Ykg7qXySN5Xk08J5OsRDtoaB7TNHG6f00+A9ztcp3lep1Cf1h +vV9o+LimlzfIOR84HaF2c2exLdJ1Or8I/aGKtE+W7d3JcZKAQ59uoZa5VM7/ +4jx+G1cCl7LLesYYiQkd+yEd+2GcHMbNYT1Ra1fJiZ06DKxsOeXy96Rm0H9b +MvN4CAMVD+PSLtXQ0JY4W/m5ShsMnLooZ1UFDZQg6+LgOdJ7uOHKhc1WIsga +oeQyOk3Kh8Njl5nGi2DVuSSbNwnsOJwHx+E8OA7nwXE4D+LCiBMnREdvWbAw +CZZT9tYektPQ+hXephLBrNpFMdo0CC6VzlnV9vtrsHpnfLpaTQLHfBKuLlV6 +A76ezpuye9ohXG7xQPHJN3AoJ7s1tr0dPitcaLNcKIKt/Oo5TlI9eenEYf4T +FohgvH7ercmObB6KLlleigL1CJ+tliIYZHMy9PUDtt5orYG9Sb4vAw2qfi2G +Z2mYHN78OS2lANabNRkOcKHB++VXh0kujO99l35XKsfoXZ5xpXFtG7SpjODq +FdEg+ta2wXTqsNFD1xugrbmNE1/LzoPz4jw47y8vNfWslBgI0M0eqrvSDayT +jx2b1kPDnwENszW7z4BSu8+kFSIalDZZVlNMFKi4r/lwtp0Gmz23B6vtCgen +U8LcmlQaLJRbZ7qYZJIW6fODw4asD2XrbiJOgvIs4iSImyBOgrgJ4iT/rCOY +R+Z1P5JWEWDOQMlAnuaYjQJQU/7pfqcZA2t5qXcYT+n3Jm3DnfkcBjRWxP5W +VCOATn5W8fNfGagM+yUyKE4A7qUfveWmCqR60RHnu/MZOHRBe1/GOAEUjp+f +t3ABA/7nJGcVnvOhWHlWUeAyFldBnAVxFcRZcB6cF+fBeXEenLcsySXJT/q9 +XR1rcKI0R0hwHcR5cF+4T9wX7hP3hfvEfeE+D85WSEjub4OPcVllRjk0hBwK +GiX4WwQXauVVd0TT0GLRmXL/kQgu36rYxrlGQ8R5Wl8qisDAnTGhiSkU3Em8 +siFSQsOK1Ttjtw4XEnlBrlN/2Lx4FldBnAVxFcRZcF+4T1wHrgvXgevCdeC6 +xF7dY88ks3U7MT4I86riOnHduE5cN8f6wglbYyFE6CwU6zPsPDjv0sjGy1dj +a8GV2lsgMubB4S+hPtMW8wHcrE3mhfBhDi9849ClfKjoFrwzDvl33lmMY0I8 +EuM4Ma4T9UqM60Q8F/1m0U/2x3qemPcW/di+f2c6IGHf10SN1bBHlq+xOcXw +4mJtCra39txdMpCBx2WvzAymUOBtmv8mVJkhfAL5BvIJ5Btod0c7fLnML/y4 +zE9ccU177dRPEljerjauWFsCk90DJ5ndlUDAh2VBpnoSyJXhpoijIm6KOCri +poijtiVZPnRfKIYkj8FPkgdIwFuROfjWUixrJcDLaY3z20hD0v7M6us3WLsL +2mHQ7oJ2GOSfGLeCuCXimIhbIo6JuCXimIhbIo65NyYn9FRnEuRf4H8sSttH +7EJoJ0K7B9pBMA4H43ImF68wen/sNawcKHCwUJVAseP8cvNKEcwavX6Z8OhT +cE81b9TmiuDB0K1yM9c8g2mGgS5WdhRwvrUC4DicCLTI4sPDa+FK1YbPoWed +wFHlNh+68kqTf17dCPaNFVd6QxOhrH/KKquiEKiK2DFTvjIfSs7wf5/okQOm +Fts5l5LyIX7k2Ci3DbmEjv2Qjv2KP5kKFDZVweHtP4fvs6gkLdInnknYYvFr +CzR89Na6NZSNM8e4c4wzx7hzjDPHuHM8Zzx3PGc893m77P2MFF/D2d7DT7j6 +YliwcnG2XK8E5K2aQoINxMSuiXZO7IfjsB+OQ7l3rsyvb92nvWOn/V890VNh +iWve54mhuPtEx9VdYqjPunR2R5YYrIOWfbLazdKxH9KxH/ppo982+mmj3zb6 +aafL/LbRDol2SYyrwLzRJ5mkPIrzBjxHONmMqXkNQS/rNLnab6Av94Jv1LPX +hI79kI790J5hX5VltSpWAObnspXuLWLrjfrLv53cX/QGqkI0DgW3tkN95oLz +26R8Z2moXVirsB2iVAf3eaoLwY4Jr8pIrQJ3xYYsupuCd8ppLjXva0Bbbpp8 +h6oQnHQ7Am2MqmGCf4G15ztKyp/HhNveeQpWd2MOjKIoGBUccNRxWC0skuFu +clO/43CHde4G6Eh/z3wW5PwsvxGOzJBbu9dYBOrR/Uv0Il+CMxM9M3E8W380 +nlre4zG5BZZ3xnRERvCJXIxyMsrFKCejHoR6kWXl1YLLv1GQfNPR8ICKAMSC +Tb92SZ+z2fbpnfYLBHBgcuoNU0W2fifK1Shno1yNcjbKUShXoR0G7TIpPjGv +Xjm2wMfhpfr7jzMwqUovyOS89H2Z/sKt/CBbhzNy8RGT2BUMaZGOfBv5OPJt +5OOob2BeO9QruGY8+zQxTewwaJcxeBy7NFOPbdEug3aJqnRz523BbJvnVO+j +rMfW29zy3JHnObEJIOhBmklwPZh8uBispdMEZYP2ugqb6+GY7nn13FFs/c0A +Y8dB8v5svU1e6cDCwY//XW9Ta5FBfM42tt4m2mlQrkQ5E+VKlDPVTNU9dgcw +ECpfcP9yeTP5juN3HfUM1DtQLkE5RceI2at0pQXqokp1Dx5gYMb99Gkv7v27 +buAln1LLYFeGyAEoF6AcgHIBygEoFzyJsNyvdoStv4l+xuh3bGo6/AUcFkHj +opcT1sY1wMqKy77Rr9h6m5p9ko4pw5tgRqjZmu3DnsOogC9uwrMiMFbvay7X +rIfhHjuLRpwRwQ6Ou2aXKVt/E+NQOCVjmWWGTdBm1B2TN6AeLjba/vX+PxS4 +Xsy/cauUD72jneaPnNgCWrfu7cz3ZutAXq849+CkqojkUdncM3pe2Pl40iId +9RIch/cc7z3ec7z3eC+JX5csDx3mpdvR7jwudmwT7PzWNsCjHEPHWF8RZOQK +K8+E1xM9BPUS1ENQL9m4b3Thif8ycCovueWhBnuueM54rnjOeK54zqfHpOvG +Clg7Gq/13HSXEyKpvmxxa6t0PZv3yVlpHxWBRt0eJ0+vBhLXg3E++Bw+T/Ix +uepGETv0kDiuupZqExzy8njaHcLWL1T9FvfLyOwvr+DQxABzXl4zxJv+Ijhw +hoHf8jQ6hbnN0F2rWv3uCEXqOwjph5UTR4ogsMXe72v/zSrrY5Kj+KR+hINj +yStzdRE8c2Gav/72StydOPsABbvn9j7RkP4WK9RNqZHyz/8BllyoHQ== + "], {{ + {RGBColor[0.18357066666666666`, 0.197926, 0.21248733333333333`], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJwtkCEOwkAQRX+hxbUNi0ZwA65AwEGaUE8FqcGUK6C4CEFjCCHBwRFI8IDC +IxHMzx8x2dmdN/P/7GC5LpsWgL5F22IfgCYBLhlQ5kCvA5ztvFlsLP+mwDQC +3gbfjX90gWEMjIyvrb61eEH1VSzmkymv7JxF6idzSvROljqhI553Mk/oDD6z +8jk/12Q/WdZrZ+iPPq/m9xDEwPK578Kddrn4Y6oamUmQFv1Frlu4h3GQHnel +Nj0sMr1Rnwz/jHfm9MN+7lL4vpz5B3khMB8= + "]], + PolygonBox[{{4023, 211, 1664, 4035}, {4024, 1555, 211, 4023}, { + 4676, 1462, 1072, 4675}, {3578, 1670, 1636, 4003}, {3816, 211, + 1129, 3817}, {3677, 1129, 1462, 4783}, {4034, 1664, 211, 3816}, { + 3508, 1636, 1554, 3920}, {3649, 1072, 1390, 4773}, {3920, 1554, + 1555, 3921}}]}]}, + {RGBColor[0.2288727925, 0.2508225725, 0.2727220325], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNkztPVVEQhTcX5XLBe849N5HeRBsVxQ4TLEQTKg1agWCUGytR1GhMeJTG +PyB/wBgtbHgaDA8L/QuijS2GV2GjhUHi+liTaLEz+8yeM2vNmpljjQfXx0op +pXGdZp2ZIqXp1pTmZF/I/jiU0rACViop3WtLaVl2SoEjOkPyf23y+7psd9n3 +WrJ/KO78e/CfvkfbnOez3k8Lo7clpYnctktnUjGP2lPqEPZdYc/X/b0ge05n +V//2V1Pa0ftRcYD7lu49itlvMg4YG2XjjAZnaqKeP8GTO1wzcfiu73eFMc+X +nYf36agfbpVW83suzExHlFNn8KeOn5k1qOauE8wv+h6UHahYr9s1578le6pw +zpOyC6E52me5Md8q3xXFnVD8VdkLyrHZ6rr6ysZFK+p+2G6t4Ac2/u1W3+EA +X/oBZ/KSf15YM9JzTP/elG9N+T9wSsbkflx2ru78s3XrSS/p3cvDKT1od13g +rkR/qZecN0ruE/3qqnsW4MI8DMfccAcDbLi9Udye/H2Fa92PmGu5a+iX3ZX/ +Trt7v1oxLviv6/ZfzFw/XJgN5gQt4IP23dHf8aqxwKzFDDAL8IEbvbykt33x +v1y3HmuhCbGjMcOLhe23urmshj6zhWdtQjhPW7wzjWZrQA+pC01Gmv/1qBF9 +2sqs72Zm31TsWuO/nSMv+Z8V7sNgzNin3HhLsq9yz+vvqt8GYiaxxKMJucHi +nbqYs43QCb3AQPOd0BA9duOObzf2cDti0JzekWcvsHgDdyrmkpjlwMFP/Fb0 +Gx/ftdhr7uTpjxlYrFp7uBK7Xjiut+65YrbpHTgDUeOTqn3sKH2iP4/lO6t/ +jyiuM/O+d0e9PbFP8EFres58shfcybUUOr/PPa9wzAvXDTe+N6OPH3PvOft+ +pnDujqiXnHBg75ixg90r+a075uRX4Z2/X3O/4Tgp/n8B9f7NpA== + "]], PolygonBox[CompressedData[" +1:eJwtkrlKQ2EQhU8Sl8R4s1xcakEriUunYGMUrBRMp+BCsLJIFEVwqX0CX0DE +2myCoFi4vIHxEYRACguxiuI3jMXPPeefmTNn/rkjxXKhFJU0yunivGalXUC7 +T5oOpZmUNBSX9pNSDd4hvpaQyvBNYrfwj17pLSI1wIvk/FK7bqJpaQD+QP5U +jzSc4Ru6tvV4Ib8RSKmYdM65Ir/K3QX9ftCrgNvE5+jV4q4JPyEnj9YSPb/h +9dC9mZ55D4g3qf2Ep8Bp7joR95gBf6F3Rq8jNJ6JHwTu3Tya11rWa81DHXwa +uJdZ6rfxn2PmfmJj8GX4u3mM+8wLoc9kXvbwVIXfpb1XkZ6FtB/DNvMquBJ6 +rs1os86jv5N0TdO+hw/G/O6a3Dr8MeoeJrP/b4p+Aj4Of0LzsttntFlXMu7V +3uQw8J3Ybkro3YS+Q9ul1bTA+dDf2t7smPyNlOfazm33E1nvZTvIgbcy/jb2 +j9i/8gcQalAS + "]]}]}, + {RGBColor[0.2607944475, 0.2865273075, 0.3089483275], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFlstPXVUUxjdwLxwu3HPuuZrQtFDQ1IbGoKUxxgB1UB1YfBUmxgFgTByY +NO3AR+JrotT+A1acqCMYNaYt3r4ctAMfA40dgIm2hIkmThyaS5to4ve73yIO +dvbe6+y9Ht/61trngVdPz5/qTiltafRoLOUp3ammdKBI6fN6Stv6+JTW5yX7 +XmNfJaW88LpeeN+j9S1dXslS+mQgpQntvy1TuqL94WZK61p/qvUlzZnmOX0f +1L29Wv+g9X6txzS/VLG+dtXnkR3RflJjQX680khpqi+l9+RXl2xf0ff75O87 +2v9bS+mYbO3o7F2Nn+TPk1Xvf+yxjLVcSOd6ZUPrD7sta4f8YJ/jrGu/HXHt +l/xo1brQs1qxDyPckQ+/daV0XJcfrNifrtDJefSOyufPdO9sYdnRkL8cdkak +f0r39yjeGc1FYUwahXXd0BjVmTOSPVbxfjP3/mOdH63YNmfBb7hin3siV6xH +4zt6tqrOL/vbXcYe+XXZv5Y5LuarmXUty9aa5jOlsSbGL5vmBNz4uXCeL2ts +Ss+iZK3MulshJ3fflbax3rSMOyeFy8OSbygfQ8LphMYhYTvX8JlW6IRb2AKr +24Xz1yyNE7ERw4u6Myn5SX0/oHt/9pk3a4EZ8U4GN8g13PogOAdf8QFOLndb +z6/y/wv5+rjW79dtizX2Jkv7ib8d3yr27x/Z/kjzHc07Gl/Bs8JxLATez3JX +++c0P1qaB+u5daxEnOSWu+QbvsxrzFStY6NiPUOZ42ZNLbYj38txhhjJ1Vb1 +/9g3o45u9Nse3Dhbmg/U/VzY2uX5SPAJ23yjP2yEHvQ/3zCHJ3T394gdDOA3 +OWJPrOOZYzmXGfOx8HcsfP66dO9oaZ6uOh/4cKH0nYul+wo5mogawifqtx0Y +sb6/6TNvKF/dufE8XPrs070+Mx/3O/p7Lf8manY65P0153dc42a/1+hq5+bF +W3XHfT76Xqc+quYZ+o732dbphtenGubWXOifkE8DiusRsO+yHXLxdt395F7u +OPGHPsYeOf1mJ3zAF/yeibzATfrAaPB5MPresGLZV3M902P2Bm/wdSl6wkHJ +Hsq8J7cbwRN66msD7sG9Wtd05ljFNbMa3PildB3/VbcN6p+Y4NRa9B1i5e5g +1Opo9Bx6Sge73HzeE75tRs+HYzvRW6dyc+f1zLY5yx2wgPND0XOeyM3bJWE+ +mzvH9wpj0Ar/LjV9hrOXow8thN+LgQkx00fwgzerWjPO2Kf/r0Y++YYcHUcC +t9nSmD5TGme4vxRcpSaIayv6GP2M7+OBf63mu+SbNVzczQ1zhy+ZzyADd2xf +aBoDsAAT7CyHLTgJT+BLo3RvLErHxhqOlaU5+7cwebPut/AFYTidG3/yMF1a +NxyED2BC/HAErIifPGeRa/K1Gnyhv1Ob1Oi+kMF5dKALXk02/UbwVhArsY/H +m8wdau1W4Vqkvi82/Y7wr0Gd0tc4jw+z/dbZLr1+t7C8N3xGN/iCMzzHd3AE +11pgfjd4CD7oRT8+w3P4tBhvBTiD92L0ePhD3V2L92v3TR2OmrkaeeSt4v4f +hWtuOe5zhu/YWgpeonM6/mfwB//wiW/z0Z/JMX0dP1fif2wiekgrfMYf3hj+ +SUbiP2E7sOX7cJzB3+vhP/puhs56nOXuoeiP+NGJL/oM8v7A9j+E6zN2 + "]], PolygonBox[CompressedData[" +1:eJwlk81LlFEUxo9pM5PT+9657yoCISMkK82BCBxbDUI5fbtrlQQtgtJFKmS5 +Kc1Ny8w21c5FiI5aBLWvTdQig8TBjUH/QCotAn8PZ3HgOV/Puefjtt8aGRze +Z2a9SAvyL5jVc2afMD5LzH6jl9GfoG+Bq5nZ/1azu81mP6NZA/150WyuYPYO +fQk5st/sBfoq+BLSCT4D+Tb526nZAv6OvNlo4jb5FqmxC55BXsK9Sb1X+HuJ +P0z+IaQC107w2Gk41vAtY5steE3VHsLWAH9AmoidRPpz3lMN3wViOog/jlTR +u5CE+jeIP41vCrmDbxJ9gvpjyK8mn8HVktk8/d4u+gweJB6jWL2hTu634G+f +o4fv4G5sRXwHqXECPAzHQN7fpLe9pf4O+Z+RFP0RfGfxfUEP6KfIaS04Rxf4 +HvlVuGoHyEO/jt4J3zpvHCf3IVLJew/q5Rr6Gnv9iF7m7W8yn81ROPqo3SO9 +4DGKncY2j2+DmBnyb8Lf1uKcQ+CA7Q/4GDnnwSvRd60e1MuVku9WM70Mrmd+ +K6qxDK6kXls9vkafCN6LelSv4hS3ZqxZbwS/vVniG+Cn0XevN06lvkPtUjd2 +Ed9A9FloxzVxBe9FN6HbyKJzPYYzglczn416XAGn2L42e48l8Lnot6cb6AOX +gu9GN6nbvM/MfuT8D+gv/E2dWzseof/30f+GOMXdE/02tLNy9JvQbYjjJDgJ +fgv6I/ore4+hdbM= + "]]}]}, + {RGBColor[0.2927161025, 0.32223204250000004`, 0.3451746225], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFlktsVmUQhj/a0/9vJT3nP6VqlEQh1jTRQrQNikBENF5oCwRq4k5b2NEW +iomXhS68QCvgZeWmVJYsDIRETdzaBWIMvWC7EvxB0Qg7EtFYNPo+vGNcnHxz +vjPfzDsz78x3Vu/ev2tfQ0rpip5GPU+UKd3bnNIWrb16OiVv1Xq2yXJPltLu +Wkr3ax3SOqy9UT0jeh8vLR/MU+orrfuk5LrW63qSHE3reQQbDX7qy1Jaq0+b +ctv8S+tw5v012u/V+9N6f7OQP+n/EPqft6X0pTC163ubvn0jeY/wzCmI3qow +SHek2fjw+7K+9Wv/gNa+quWD4b+ral+PVlK6R/qdgRv8zymO7mafmZDtzaV1 +Hi/tpy/sLBX+vkXrgtZLOvuj9r9qsYz9V1tTekD6O4Vhb2C7lbeIa1WyLmem +ZOM72ZrU2igs5xtsX2Hfsst+l+RByX0tPrtY+Fwm/dPKx+rMWC5L55jWB6mz +1v4Wn1suvZ3LU/pQRqdb7JdcjCsPW/WMS3dQ37e1/H8O+Z9lzhH5zxqMf0n7 +h2K9GfJQ8ITaHm817meFsbviM+jgjxpc1LMxt7/jwnO1alvEhQ7YyCFxnY3Y +2JuOXBWFcb0hP9eqxoAN4njxNuevLnlHxXkg7mtRuxdKY2kvvXc19qkV/orM +3APnos6OqW4T2j+h/Xb5Xaf1qdw1vC8zP8GXNTn/k/L5mZ7t2ttVc/yjhfuM +HJLLjfJ9l943af2p8JkrWo/q/YD2j2i92GQZv/CnHj31eqvz93dujPQPOMHS +EXiOSucdnf+zcE34dkG6y/Q+KnkwNxdH4yw2RkKmLzrDFvleU3XO8T8c3H5M +51dJrhX+Ts3AxBnOwhN6M8/M4SxqyFniPtXk8xcjr+ijuz30T5KnqvdK5eJX +yW1ah3Kf+UJKJyueM/TtgOTLFfN+qtV1Hy9ch4+jFhMxK7DfEzMKTA/Lbqsw +PaT1SMUyHIBT8AOu0Lt7Y7bUox7k4o/COG5o3VA6JnKDHWx0RY8TP7F/LZ0x +vXe3mdc9gQFejEUeeK9Hrs41eh5SeuYn3CPP5Bbe0i9HC8f/fuG5if4+8W5H +zTl8pdVYTgc/b+bmwlLu2k3HHAD7fKP7Cn7AjY6YtXCiI3CD80zpnmC2M+N/ +Lpwneos5Qv+BGXvUErzMrf6YJ1ncDXB1LHjAHpwmvhWyl1U8y+hf6v+pdGZi +LvXFTJuV3mHpzRTuMXrtl8L1GQm+XijMge8L9y05XB9zmxlFjT5qsR1kZhb7 +C1qfKYzhfGHOEst88Ggu5jNY2KMWZ6K+u+XnvdKz43Bp/s2EPrP8RLN9wYtL +Mbe3RX6YvfORL3LFfcCZD4Th7jbPt5VttklcM5FvuELOeT/3H7bc99lAaQ4s +xD2ykJvLvxfmEbEwA7lL6PXu0vONuQ1X4BTzBPv0DZxP4RPf+Ho39x18qDT+ +ucgJdSRe8giXOmIeXQ+ew/fJ6NE87kfqeCHmKziQP5GTlzTHN+S2Nxl3HXlj +/xZv425ljnFX98Y9zpykf+AWdT4StYa/6+L/hDpMBSeYSfAbjt6IHu8PbnPH +EDN24A3x0TunghtL0V+vqe96SvfYQM09eiwwg5+zYOAbOs/H/UmOiHtl1Hpz +4ZrCf/K9v2b5N/l5uzCet2Kuwx1iJwfcYYvBbfyBczr+w9aGDvmiRvXQZ5/Z +mcW9eSL6m97E9mDY5K4ej7PMyaW4f+kPajgXeOENmDtitmF/fdyh3wr/nZJn +pXeH1tvjPl4Rs2U25sue3D3F7PwXy5FY8Q== + "]], PolygonBox[CompressedData[" +1:eJwlk8tLlGEUxs+Mzjgl833zjlYUkQWFEASlVKCVShSlhqmts3SZt4Iui1p0 +USe12rUJc9kijKCC/oTCUDAjKCUsi2gdTlZQv4ezOHzPec/tfZ/zfNu6Bzr6 +k2bWjJViudhsK+BfwiwGV2CL4L2cVYJHsLa02SesKmc2HXlsH/YG3M/ZEfDj +lNkAOMnZGLmj2Cy1d7EHJWafGTqZNRskp6XMrCbDl9wPxGeI3yd/AbysfHBE +z17wfOy1E+S8Ax8PZtXUvmJewD9Fv11lfucr9G8lPkV9LfUt4DlylpJ+h7fg +X8wcwm+l5gK1o+QM0u8R+QXwTOx3L8UOiw/OfpDbXm5WTu3H2O/6DPsLHiJ+ +jvpe7BbxIv6JNWZnyK/H72HGa+66g/7d4PecFVI+8za5x4LfVW9qBp/P+d3E +kbg6xNkWYvuZd433DQefZbxhnl678bMZ51zcV2Iv6V/FWSOxdnrspFfMjJPg +7dy5T9xiXZGfKaYee4JzKm6fYqvEV7Ap8BOsCG4K3ruamoPgn5Hv/jszAv6L +PLvQ+4j3ELtDv8607+AouAE7vZY9cnYjdo7FtTQ2wfsa8eeSnrOJXnX06Cp3 +TsXtN+I15A6T8xV8NevaVc5D8u/lfVfasXY9mfddLLP/CvwD9NiYcc3XBX+T +3qazevyV2LmVhorgVexmyjXeTG4++FulWWlXHIrLPupHiI1phxnn4GzkmpK2 +dDYOrgx+d2lqXXANSUvS/Bfwemw25RqRVrQD7UI7vMRba4L/C9J8LXgo8tnS +oLR4mZyFhHPUkXPNSDvSYJ7eTVihxDkW1/rH9K9V06+N/ItZx9q5dq9/XP+6 +7rQhdg7FpTSUwO+OfNfS3HO47gz+b2vGb+Kb6beUdg2M41+Pffcj2HTsGpKW +pPEG8RH5v6I3/AH/B2d/mTQ= + "]]}]}, + {RGBColor[0.3246377575, 0.3579367775, 0.38140091750000005`], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmFuMldUVx7+ZM3Nu9nyXMzO1UTDxhQcvkOiD1DqgidKH1ghIIuKVuRCf +QGAiFx2sRigDAk01QZpG40ST9skgKBBAxgc13HxghAkNSWUMaGIxSKNtFJP+ +f/NfJ/bhy95nf2uvvS7/9d/rOzf2rVi4vD1JkmVtSVLSOL2eJDfoOaP5tGqS +VDT/TcVjVU+7hKdXPef9y1mS/BrZRpJskYLfl5PkrGTuij3Iz+5IkgOdSXJR +7y+UvK9f60c0fqBnud4/VlimXfru1/wmrd+bJsk3en4r/Z9r/LvWXq3JHv0e +l553JH9K4yWd9ZPW/6Xxm4r3dkr/qtwy/9XebbLrFclUNP6t6vmd0rOjbJ1V +jec7bMtdWq9o/9Wa9YxVbesKvVsqn9bU7OvvpHee1p7WOT3aP6inW88t+r1E +64v1fpf2PSP5zxXfc2XHh70fyc6nZNuo5rlkH9BzY+LY/bnk+UKddVLyh/Ru +vNM6N7c7jis1n5DMo4XnAzrrZc1X6LzNGrdr36KyfcSPn8KXScl2dtpH4sW7 +Xs2zriR5Xe/+kDrWxPzb3Dkkl2Bgt/bdXLG95B8ckF98fE1Ps8P+4NdFrX+Z +eW2m9M0tLN+rsSq9Y7Jtk9ZnSt8eyRcdjjm+4Rd6yBP2/6ns9+T9dMSL+Dwn +23frnUxP9hc+a5Z0LpFtD9dt0yA4I7dtPh/sgcEPy14v6/2I9pY0TqReGwv5 +1wrH/hWt70/tV2/D8ZsROPkHeEeP5oek+2DVtfPP1Gs9DceqEvXyvXw/KZ9n +dNlWbCZOw7JpTdm+313Yxm6931l33PGbGBCrCc2vl653NT9Tsq1vl2zPDbkx +8yud+5X0LpHMdZoPtNu2yTaPh6IGqU1iDjbAF/Ijms+pOEbEp1Uz5PTV1DEh +NtQMNfml1t8qeU6O/qr12VVjGl9PVGzfVyGHDLLM2XtB9o3q3McL1yo1u6Np +v8k1vv+Y2t+rqW0BH9jzUOra6MntBxjCl3mZ7d6WGfOt8+/W7zat35NZFv/A +Pzj5os1zaqIS6xcbzstLsueHzHh7UHY+mLnmF2m8QzLLZMO+1LElrsT5jYZr +cHtmnhuIM+A4uG5I4/Op6476uz43nqZp/LZpTFzWuLjuWkVnb9TRPRoHKo4h +fvVLz+prkuQ9yb8ovYBvbuZYwlHw5JPS80TwFzyFj+Ctv+J4kov3C9fzgcJc +gG3TpOePqfFQy10jgxE7cAbeak3zDvyzReMn0vlxxTn6hfb+Rev7CnPk7ODJ +1yMv4BeORAaevJAZQxc1Lg/ehZerOqOE3U3HaUPNtQef4tM4ue8yllqYGg4+ +6ZPfz9bMFWs1rqsZB8SE38RruGad6CFOwzE/G++kbipGxApeAuNfV4zz4xqP +RT7AyLo460ruWFzOvbb2/2xYE3Pk4TLyhI3PxTo2c9+srzl/jNwP8D2+4dfm +3PkbyV3n1O9MzbfkxsfW3JwBX8EbxBEMwhXcCVfj3rzS4fsPub06c4+eVcFZ +cD+YXpWZL+5LbQ+2wMNrG+bxRbkxOBY5a/mD7EThXIBreHlLu3kG7HDPcedh +1/mwrU+6ejk3tyzYn5W4hiajTuH5XYEZcIEu9MCpnIH+y1FH3zWMt5PBRdR0 +T/AtddAdXNcT2GQde8A5NpFX8kv+qd2VwZv/zr0+p2G9cB31SOyPBx7QMxB8 +gk3ElXucGBNr+I0eBE6EU+nBDlZ/9pXYz4r7hXuhP2pvMHR+l/vcuQ3XEP0Q +MYF7qtEDUIfUI70aI5jkjl9QN59jT3/dcSSvqyP/nDsjsEFejsZe9IF78E8v +hu+TIfN9I+qucJ8FX8PF3J9HY+9e5WWVsNInLB2uej7lW8W9ETW2MWqzLeqP +GqUGr2t6DS6HBw5UXKef6uV/Oo3lddEbIDdd8pvActPcw91G/MAV3EqM6cvw +/2zouRK1QP1Rh9QjWO6LesQf/CCecDs5I1/U9NKQB9cLAtvkAeyQi4MhT5+w +PuThMGLMufQirZ6PvEwEx3NvUov0Y9z71C+55r67FL0v80cK7+VupG+ln8fG +awvLNLR+rNN+4iM1tCT6pd7QT193u+RTrd1WOA9Pxt2BP/Prrn16M2SmepO6 +17G5mVnHcMMxWBg4mx8xQWZU45t154Cz6dnIyYzoUfEb7joWdoJ7/AeT2AFH +k3f2YT+YZw07W3z+RMxHoydEZnXwGHzWnVl/V+b8b4oauCY1rrsK4wOOpNb4 +jtgeNcVdx/1Evrj/z8VdBOa3hQx+TAb3Ui/j0dufzvzt8Vnm2E1EX0SPszv6 +uo2ZcflSZoxzBv4uTc2vW2VbV8N9Jv3meOZzT2U+51ScRQ9JPaNzYe4efk3D +eG7dLSsz18Z7Wh+Kb74zkefToefW+K7h++Z45lp8IfwAB9jPtxexBYfX6t0G +CZ1IXZcboq7A45HokxnHYj71/RXfg/h3JOY84BceZe/0wDO60En84c8dYcNU +zxB3ELovRa31FOar7sJ37LNx5w6m5nO+peDYw8GzfA+g+5eZ47c3OLE7ephy +cPmewDNYHg2MUY9vxpxYDgWXPhwyYB47z0e9o2ckeJ7eB6zQ+y6ImqLmiD0y +mwNvYG08zuU8MIqdQ5Hr9fGd2uLznZFL8LUzZA7HtwDxWRz1iJ6J4HN4h9rf +GHU0FFjCzlLct+gnx+TieOo4rY6z6KeGo0/jO5l4r8ydk8NxLj1LM3wbCV5u +xWpxcAJ64Prx+G+B7x/sh1/gmTmF47Qnzv0f0IIxXA== + "]], PolygonBox[CompressedData[" +1:eJwtlEtszVEQxqePe3tb7v/+//f2kbitxMaCKGGhElrPdoGNNiH1SPoSG5oi +aoMQr5YiYUOERKxJUSUhWCBatVA2YmPRaiLeWkmR+H3GYpLvnG/OnDkz35wZ +ze3rduSa2SYsH3samT1MmO2aYtYSmBVjI3lmO1nfSpuVwn8sMLuAz1S4ptBs +MeslWDN4d8rsbsysimC7wJ/ZewzXgh0HN7BXEjfrxEaTZiuI8QL/AawYbhmW +A9eLTYIzKeduYn/wbQ48l/vc/4Rc5hFzjAc8J/64coHPJjwn5SYf+X4sMptP +/tXcOQA3iP2A78BqyfU68XeCT6cdD/PmKcTKRI4/4F8CnovP+1yP8R18gr12 +zrdzx0lwMfHfkvtWYiwEf8WnTnXF/xs4y3ve5VBjfBKsf3PHjdj/nAPPSbm1 +Yt3gVYHXchb8WuIfDfzsA6wAvpV1R77XfDP8OHfuI98rrGMZs5qk12YIm8A/ +hv8z8Db4O+BT5NNArFNYHutKLE28RvgxuELOPIKrVk6h11C1lEakFfVEvamE +35v0GIrVgw1z/mXKcQFWC94SeW7KuQ3f/si1tKfQ7Brr7fiEcLOJt477kux9 +KnDNSXuv4E+rdlgduDjy3lQRYz24M+lne7ljkrOH06411WQCLp+9M3GP8Vpa +5cz5hL/5TuRv1Fur4Dvgq9nLpd8V+NSAC4k3pFopB3AWO1Lkmp0Gro9cu9LU +atUz9Fo2sp4D7kl5LRahiZPgvrTPmjTUhP+yyO/SzC0Fz8x47y7BH4BvCL3W +Eet66S90rWgGNAvlKfeVxqS1rtBnT5qVdq+y1xb3GawH9weu1bv4/KI+GwLP +dZi9jdxfhc/PmM+oZvUga6AZ5w+BlyRdS5pxzXpJ6GfvEeMc/isD1656WEa8 +Uc5cjHuP1Wv1UL2UBi8Tq5zzb+L/wlsm6T1ULzUjv8CD2P6Y56TcSrG8XN8r +Ax/G1sR9BjWLqpFqFZDDAu6fHzmWBqQFzZBmSRo/FrgGpUVp4ja+ZwN/i3o+ +XbUM/a+TJtIpr5lqp5yzcF9Cn3XNmGatJuW1kkaklb6ka0s9UC+6I/879IYu +cDk+R/FtwZan3IT1piPSTtq1J5+KtGte2ldNR+D/AjzDujc= + "]]}]}, + {RGBColor[0.3723175625, 0.40476015, 0.42477252499999996`], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmGuMVWcVhjfDcOacA+fsc2ag1dKaSBMutQINbUmNgDUF6gxTiUovAzVe +oAUTNEYlAo0DSrkoyKWFsUWodkDljxESbUGj9o/0BzTVKGIq/aWtUWi9UBCm +Jr4P72v8cfJ9e+31rW9d3nXZ592f+txHPttRFMVTo4pitNbBWlFs0K+jUhTj +G/qJtqksijOdRfF+0WZrLatF8aN6UfxNZ36rw8N1800e4/0E7ZeI9xt6d5v2 +q7ROFv2s9nMqlvOIaOd0zzrR/yw5h7UeqlsGOhzOHhp79Lms33zRZhY+t16/ +13V2Yk9R/Eb0G6Tn2bHSSftl0rPa8n6i6Efr1hkd5kn/ufp9WgbP1vpz8fYX +tqvWYZ5B7ReK/qdRfo/8Xq0rO3w39z4mnpdFv0v0V2vWB5u+Ivqr0vVUxXYf +zb3oviD68w6eSdofCw+8a6uW9xndM0PP0/W7ULX/f9dpv1U77NOz8QM64UN0 +Z79I9JVdRfG25D+o/e/H2i/45EXpd3ysbcce5GD7eMnpkm5LRTuLHTorEcWb +uvuE+B+Fr+KYEN8r4ls4xjF+V8u2PNH0M3YS94WxFxorz2d172Hh6lEJ/6bO +dY6zfr3if6vbvr7YbR1fip5jerx/S+cW644+8VwWz4qaz2JXb8VYROdJDdv9 +dOl7Vuj3gJ5n6L4R8W3Tuky0+yq2CT8tr/nMdOn4TMV6vqN0fN+p9fq2sX9P +03gCVzeWjtWpuuOFPsjBlimJ519HGZfg55J0nqm7/0NutHzudM72iXaiy779 +vnj36HdEOjylsw/r3YHSeHij6ljcM9axWS6enS3He0/L798MD1gAO+ABPt6B +2/66dSXW+G9FdP6L7jiou6Y3zXsh/AcqpoPbqxX78/7C+XQqdWBHh/E5Fx6t +8xJr/Mn+D9pvkX6f1NnNWm9WjB4S7zO68491x4kYfVTPpXgPaf26+D4k2sWW +73wk927V871gU+tiMK77btbzjpZ5Dkn2qi7LRebR+Bl9t1WsA+fgfaVumfAc +Syyw40xsoU7w/Noox/RY4gpmVkbn3S1jB9xBWxU6de5McnZn6Zr469K6HM1d ++6vGG37a1fLZ70nORO23yQ8jDds3ZYxtpDayp27s035vzTEhdyvJX+JeS03Y +H/yAI2rU3NQu6gp4AifkwQtdlr9O+6nB7bTYSo1AD/R5TtiY0O36cJN0/GDp +2nyjaFv07ge6v6tl/L4omcM6U0/Nol6hVz377+jsJ8BW6VgS0zkN4/eNYBtZ +yNws2S+lpj7U6XfYAlamjjEdn/yz5Xv/oXUo+UisqBHI6RPPkU6fY1+Pr8gR +MPylumNNH6OekI/kBzmDLHLyvOhLkgtgB7335h7i/njNMgeoacl38p56Oy3+ +PJ3cAZMna44HsRjTtM/+3jLuwf/chmveLXXLWFO3nr+q+ceePnWdYrAVH5XG +AvEnxwYq1hldd1GPR9s2bFoUuz5f2i/LW8Y5GPhyxXifEqyChWnBxr9SS6mp +yMYHyJ8afnioH9iFb8Egd4FPetzqyIfWH/oVPf87dQZ8PdDluk4/uZw831Mz +DxigzlxJnm7v8P5/vWZ++g7+oNb3R/blyIef9/PSy3hGzsX0oKGmaTtCRz98 +ij9ZyTfwQy5OTm7i25H4l7llODMM/fN4euhN3Z6vurQONt3/JvcYq+CkNzKn +JseZJyq5a3fNdPxwKDMRc9fjyUFykblle+wCF+gPNkbiL2y5vtt18HTpvKwH +/88He2CQGK5O3Fclf5kT3ttynKa3jBviR+0jt44kv8BkNTJvk6xu6XRn2zk9 +I/PM+ZZnhK3S4VLLds9ruG4MJ8eGMxNi40/arpE/bNpP5Bq5QW+Znl5zJTay +B8foU9P6Xd2xRTo1u10zR3KWfj4Sn+CrNcn9q6HTs+Alz8E3ebomeUc/upp8 +J8+oY2CD/Lgl+P92aRq9jlpF/S0jc1/qNhikLxAv/DmUXoyNQ6kp17WtS6Np +HFOvwdvm0vtvNdyjiDX6706voecwc12JT/A7vYH6/3rDtf5npXMU2xbFRmZE +5IDd/twFfqGDYWoHeUlt3JoZakJqIHZd822+HfiGIJd7M08yN4EV6jG4aFU9 +P3yt9Az0hPgPNoxPcDrU8B3Utufb7pfH247P7MRodeZmsLpe6zr9lhZeH8s8 +DU6uhp95ZkEwU5XcjdRrrffJv3eK/37JP1axf4gjvAdSN5C5NvLX5i7kX5Ce +g+L5ZWk/nYyvyFVmDbCOTYvjz1lV5wi5yXfDunw7EMPtof+i9D0nSvcdcuN8 +cpHz/ek1YA8M4uO+xII6Sb2g3t0he9rin9l0DdwTeo90foXe3bIPp6Qmz0+N +QWdsYQYHD9y1OfcxF7+v07ZT26mPYJ26yLcE8QXfYIIceTt7sEH9Y46ZlFrH +HqzRZ8enF9A/uQ+7hqXnMnBe+n7oA/lm4cyyfJ/RI+mP2Ibt2LAx37OTUj+x +nd5BHd2d/aWG5+lN3Z4jeAe9K9+R1LQ9wTGzD/X4XHQ7mR5M7pDb5Hhf5hy+ +JwcyJ7Nn5uH9ufAQR84S61urzgdyYaQ0/sb1uN6cTD6uTw0hf8EesVqa79ZW +7mJtZ0/NYU66NvMLA+8RfX7Tcbs1d+GzY8H5k5mxJggPPy0t/3jpOZaz5Bvy +y5zdEjxwFz6bEtxs1PsNVde01xrW4WOl+3lfasGC6DFVNrZ6/B3+4abxBB35 +Xyj9f8EXS+N2TtVxOVNa9q70uw35Vh/XdH5TL1dof7foH2/7W4LY/Lhh3q+G +n1mFHMfO/W3T9zX9TbAss93tot2RXOP7bGvy64XS+U7ewzMrMpmjtyXHl2p9 +suJZERmzI4ecY1bYljmMeYHaSO25PXKGSp9/VvKXtKND07Pc0sicFX5k4kf8 +tqnxf7nU34OZsZ/VurPp+rivnW+1qr9NzqSWXptz2vbzg033MfABNtCJ+8Dq +y6Vrw/l8o2AL9/E/zWD+O2K2vStxvNbLR7uH4teB+Bb6QGzhG+hAvruZKagp +zBV856PDDbJvb9PYerpt3aZlHub/nA/EFmrnYPQEy/wXQ04/3DbP8qbnu978 +5wMeBoNV/DEvcu7OntrHzMGM8Vzbz/CRj/8FcVJpZA== + "]], PolygonBox[CompressedData[" +1:eJwllUlslWUUhk9qe3uv7f9//+2VgEyJCG5EhAQhMVY0wQEQJDJKwaAC6kaC +ujBgpCh2cKKUqVIBBUXZmii0GpWdCyVgjGBw2giuFDRtMNXI8+ZdnOSc78zj +d8NjGx96ui4iNgL1wKgi4lQp4mGIFXnE0hSx7pqIBCwBn8bbQfgHgIvQc6Fn +I3tzOWJhNeJW6EPw+qFPQJegd0O3AfuQH5tFTA/b+B16F/QC8BWNEVvwfbkl +YrAp4k/0z6Jf4e0Y9j8EOrHVg84c9JehsxP8TDI+g7fT4OOB7xoizmGjHfnj +QDexXwd/Nr4mA6vAq9i/DfsHkF+jfHl7G/xQMr6Wt3fAX8f/emJ7Angf3V3Y ++xnei+j3ob8XmVXQq4Ej8PdDrwzb7Ac/nGyroxKRkVsF2AY+CZkxyM8B5oP/ +h8wQvvZjc1vZOX6P7o3In782YgP+34A/CvkR8usBfiGWe3LX/g70n0F+eu7c +CmAmtpYDs8Dvo34PwGuuRXyE7ALoxdCHM/dGOSiXRvy1VxxjGfxXZHrx9QHw +R+4eqVc/Id+reiLzI/E9xVtP4ZgU23n4Nfg5/M6Ka67a9wGLVC/k25HvSu7d +Yt66k9/E69K8ZJ4BzcJc+jkMfScwD/kR+H8juxf+FvhtvE2BtxR6Ztk5LyKW +r5NtDWLzX/hfQm8tWf4L8AmFczlHDpOItQedF9DdDOzB1jrou9QPYDX0a4V7 +pRheBV8JvxXeFd6mFp45zd5ZINW8Q9olybShX4fPDXW2uQb6EeBu8MeZ0d+I +7zP4m0vu0Qj4JWIaaPJOaDc6cu+CZryMv+PoTwP/Af3m3DEqVtlcD/1e5tnR +DGuWO4BHwbuxfzBzjspVNdyB/IPaZ+0GsAzex5l3Xzu4KXnmNfu6EbuRvZ63 +0w2umWr3TbLtk/j4H91W4H5qdQQbJ+C/hX572TO+J/eMalZbgBnQWe5cdFNG +wxvA3vMl1+QitsZTg7qSZ3QCeC/5PNnondsJvh2Z2+sd0xh0h5H5Fvxz3obA +Z1Xta6rmA7y78Cwpxi7NE/5fKjtGxXqZt68avQPahX25balGBf0dW/Muycc4 +8CH8n2pyz9Q79VS91VtDzTuv3dcNmVg4BsWimO/F9sLctdcMa5YHqr6l6vEn +6jU6/5R8Q3VLLxWurWL8q3DNVXvtWAf534TP+mbfmOHCN0C3QDn2V70z2gXt +xMnkHdGu6Ca/nHzjdet103XbdWN0a1qBZ3VvC++6buy4wjugXVCMt4A/lyyr +mdfsaye0G4ppK/beLHxbdUN0SwaT41HPPwXf3uLd1x90IfON0K3QDHei25d8 +e3UjdSt1Y3VrdXPehXc0823SjOzQfCT/BZqhV8CvAtnH5Y4= + "]]}]}, + {RGBColor[0.4261152375, 0.45590017000000005`, 0.470918195], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNWGtwVdUVPrk33HNz7z5nn3OTUmmnOFr7o9OxkNqHtFg7U0EDilYhoQ/b +Eh72kQexrZShdfpQbDUC4ZGQB0l81OlYRYu8BBVaHr9KE1qIPOqEojMpU3mo +EGG00O/jWzP648xad5991l577fV9a+17VX3znU2ZIAj2lQVBFnJzeRDcPSYI +9mJwqwuCyXgOQv9kKQiewYS1Pgi6IKNiEBzD+O6KINiFZxX0dRhzNn4N5q/H +vGVJEIzmguBIIQhW4/fVGG+F/ATGl2D8o3yHdRvCIBjGnBfw7kfQX4P+HPRe +2IvxvAGb72DuYYwvx/gFjGWKWncbfLwBz5GM1qjA+NGM5oXQh6APwscd0FdA +vyPGnuhrpXzfaXZehjyMpwYxyENOLcoG5/LbBdBfKWoe7QxUSOf8bsicrXUC +vvwRT2NGdunnSsgRfF+J8Rj6uZJsjUL2FLUefR6GfB7PWIvNWIsPbdRWyM4T +URCcgmzHWSTQPZ7xsNuFOXchPm14dxy/p+NpgH5dTn7w2yedvuH84xifjacP +fk3Dt74o/RjG6nI65xLmppF8qinq3Dn+GL4vYrwE2Ya5tXh6s/re23lthS/7 +4PPyjOLHM2AMGa9byjVeBfkR2DhRJjkWz48xfhLzr4TuLSYl82FmQXt8Cnaq +nL7h/KRSZ9eBs60u6J3LKN60c5FnVS4fl2F8S0HrU6etFN+egN4HmZhO21Xm +G21Umj8h1hrgeUM+MUb6/bDxTknybcjrkd8XMDebKsbzCrI5H2d5BnIB5PJE ++lORfr8F/R7Il7HOfDyH4PNuyJ84xX0QdmbZ3ndhbKFTrr8IORfPAczfDjkP +zxD0uYHyZF6guPHbHYjBxIJ8+0Ggd6fNL6799ofGz2ZkYy/sLXaKURe+PYV4 +/BDjE0LpJ/E0432TUx4Tv8Qu99bA83HCxl+JCSdMrol1Hp2p/Jpp+6If58xn +xmTUfBtfUgynefl33mLF512L511mh/nfjXUyiGse8rGcMMD834bzurdcWDyI +d/+GL5NyksdMZ66eN4wXsK7D2HQvDIZOOOS8YcMp49JnOcPc77X85zvmLHPm +APQ10N8s01muM55kXPrxLMvKLjFM/1+HPFcUP328Uv58rFIxoD9ci/udXlTc +xhoWiKdiRrg/jJgcxfdH8LyO3+uxl0bM/xZiX1chnTEh55PviaM9FeJ0xmu0 +KBzSf/p1yviF+JhmXMH3qeGL3H9zURwcG1+QKxiDUbPDecehn0aO3IPvvuaE +xV34/Q2s2ZlVPq63XCB//N045OeYu8hp/YX4ZmtWeVxdqbN8rSQMHKxQjfkZ +xn7q5Ms3secGyGcxpxnfNhUUW9oeMPv3Ym6L0z4Y+50Wf8Zit9U4fkud5zgl +L/wzn37v5f/vIKcUVdvIBau8uHQl5IMlvVsK2ebFmSu8/L3sN+xvRxxmh8qH +DVlh8DIWsuLP/5TJZ+rMT/L407DDIk7Mv4rn0awkf7Mmzs/qe35btN/UWbsG +zA73tMf29Qh8uhM2H4acXC7MEC+bs8IaMdeaU24xr3j+PFOeLTFU44SNM9jH +pQqdNd9Rj42TL5o+zalWNRhG9li8mY9N7DMy4sHDjD/rDnyqx/sIMSwaNolR +zmvMan85J8k9DtgZc4/fIx6z4lna+HNWfMf3+yy2gzafOnORZzqMOZuy4iLy +zJas+Ic8xFxnrIjlW51qP+t+ldUl1iDWHJ41Y0UsMm60fRvm/Mvp7N6AfMgp +51hvH3DCDffN/dOHjVlxI3FB/JIvyBXM6zrTybvfzWmPxOds44qlXvG7FKkX +o8/0nbWS9YA1jtitMPx2Yv1LTrGkvGj6VSXZXO21BuPJfCDOmefkPfZod4fq +nX7rlY/vR+qnQuupOmDrfac+7r+QD1sOHUo/qKWtGHvEiQtZx9h/EguPJtLZ +k3bA/rPQc7HqDffPM1qRiEPYh5IjU+PJEfg4x/KAdYc1lTWx2ytuXZBrsOZq +J26bAznqlB/nIdudeLAM++lyqgfsVfkt1yYXkBPYsxEH7FuIBeYZ8405sx1r +LMb8bZCDiNNA+AHW2f+y5pLXttj8f+D9/lDn34/vKstli7mwwWJSnooPQ8Sh +paDazN/ECXP9cS+/GFv61u8Vhz6vWFCnj8ypOuszRy3nmG8HYO+foXDwruGB +cT6EsVdD+VofiheY5/Wp+HFuKt4fsXWJUe6dHDQSSb7oVRt78uIf+rjE+t7J +VqvJFb2RcLA0Ef42W+4NYd2DoX6zZ15gfXMcy+Y2+NARiQt/lYhX7s/JlxnE +nFMfyF6GWGQ/swNjC5zwujISNy+xvDttnEyuImfRZ/bB060+7h+j3oY2H8S3 +N2LOfV69CXOtzWzR5iq8nxGrH56Zql/psl6fmCF2/kasYX/X5hWHGanq/BdT +jX02rzixDvwpJ/+vtTHO5/rkcP4+6zXnBqz5FdgvQK9h/L1wTXzPStWj3445 +d6Syf3sqGzflleOdsfbSg/GrE+Hoykh8W2O9/XPGtcyT541reV7MXfINc5t8 +02N3H54Nz2htJL5kPjGXajFeDb0uEd9zLWKZfD5iWP5DpHNpxZw1qXqaFfDx +vUTYuQnvd3id+07IL+N3DvoUrxgct3vQnFR7/H6qXtdZH9UUCocbrS4Ts2ct +rxmPy7kdCs98/6lI9+h22LmQaP7XI3EfuZH7/U0i/deJ8ER8jVrvt8vqJvsA +9gNDhkXuhbj/X6L5UyLl7NN27sQfeynWF/bWzMN2ckIorG6xOk68EMcPJapx +7F8uJRqfCpsLQ+GKc8clyvMrEmFrkuFrob0nFlvMNnmLcWf8x3nFZINxVXUs +7vo8/JqI8cq8OIrfkUNoZ10iu72QZanGb4Y/X0o1/zrY6Eu0Xj9kN55m6D2Q +nYnOqYs5kOg/hXZ7f8C4q/lDHPa5WHeDE/CzI5GvayGvicSzcUn2NlrtZ8/I +nobnQl6hTuwzN7kfxp8cQu7l/WhSpP8+PgObbYnuRSutLp2xOv7LROf7C8hZ +XvxV68UF5ITb4OP1kf77+HQiXN1i3ML8PWb3dNbAU3Zf6/HCxjqv82+zu/kE +85MxZy9G/8kPlG+ZPi6V7mPhmVhzJZ0Zz25iLPxSJ4aX21kTc3/xynnmPteZ +YDHhObxg9W1qLO6aYfaqzA5rVL/1ZOxR2KvsM7wuNq7OW+9w1O5WrCvEHTFP +7D8Z6T8RxuHxSPeKrXbP532hxe4Mo9b70A5re73Vd/Zs1dYL0XfO5zkyVhcN +j+O9eI/8xx41sh6PMWR+vGn/FZy0fvjb0DfieQZrLirID/ZbPE/uhbi+wqtX +fCCS3Gs22Se22p2IcWXd4ruJZueC5QLrDfOhxcbpM/mD/tBn9vbNdt8pGM+x +T3PGo+wPu1PZuTVWrOdbLx3bHY7z+0vC/uZI99Zl5j/39x3bY2L3QtrcVFA8 +ne0nMi5dZOP0M2f5y/75Jdj4qlON59yizf9CqtwgLrm/RfYt7xrDdmcf9IrV +fq/7BXnZmw9dNp974x5rjds3mW/VpnPOK/j2Rqe6swfyPqc7/ZAXjrpS5QfP +gPWr0fqGyzWioDgzB97zunO95PWe63EO6yXzZ22s82y0Ow774m77/7Da9sg1 +nPXjjM//AR4LFrU= + "]], PolygonBox[CompressedData[" +1:eJw1l2lslUUUhqe3cEu5c+/33VtFkECi/nCLRq2Auyayo4IaFlekIiZSivsS +l0RFNIACxdKNpe4bqD+MYhGKe1yIoAItajBqIi6ACiKI2/PmrT/e3Pd8c2bm +zJlzzpx7WM3Mi+oyIYT3QQ+Qy4ewPoYwJhdCid+6JITqbAiPgZMKIbzJtylg +fWUIq3qHMAz9zypC+Bz8k4ZQKIXQhm6N5jD3THSrwaLyELay0eOJx36DL4Nf +zdgqsAn5c9Y8mPmbKi3Xs3Y1a+6Bf8L6++G3ofsxGI19KRjEt70Z2/A3/CTG +VoPNrPFwuW2SbTNBK3wpe05m/1+Z0wyvQ/cDMJy1eoE/0dmA7gzQCB8A5pXb +Jtn2ceJ1tyD3Qb6BuR+CEcyN4Cz4yaAZnW3scTP8IzCKsQLYAp8ZvdcScCH8 +9eiza5+z4c+BZfBvM95De8l3jfhjMPb8Ad+Eff/Cp6LbHj2uMw9FZyNjn4K/ +GJ8IToTvKMMX3N/wvOduBqEYwhHI32ftkyWcrT/y1/AsOA3+J2t/B9Zh6++g +CZ0V2LaT/Z5g/Fj5H90vkI+Bv8Ie9fAZ6L6I7XvAGvhazYdfw1pvRPumE3vP +iY4pxdJrYBp8bfTZtzI+gP0WwjsIzoHwBzWmeMrYpqaCxzZgw+Hs/xdj14EM +Y/vBHfINWA4vgkfQeRH7dzH/Kew/BJu6Km3PMuRb0e2S/9FNwE3wTrAUngd9 +0OnCzt3sdwr86NR8M/OPgldgzyrWr+oVwhD8uw6b72G8jm870O8Htva2z07N +OzfWRPtCOXI4375i/DruZyHrTWCNjT1DGMkZL2DthPGR6D/P/IHdsfsWqMg5 +hhV7HdG+UwzqjnXX14OlqWNCsVEHmuFDwD5s34JcVnSsvhN9VsVshm+djN0A +lqM7Im9dfdOYcvHdaF8pJzOMX4Xconzi90jkbZynFv0G5RPyN9jeG5zeXWve +i74b1Zzp8C9AGzwL+ip/s65BqkW3grPhZ+CPW+AzlOugNWcfVBfs+xPYbzxz +r4/OOeVaJfgD/lh0bbsYu84v2LejwHjOcxbyCta/nPHjq5wzyp0X+LaH/X5m +zbdZex7yBuRz865NqhmqHWcWrKv72c34pQXnwkTu4wDrv4TckPOZ+qW2UbYq +Ryek1pFuLTqXoDsscS5+zR0NhQf2a4327QT0ZqeO3QvReRA+mPkHcZYqcCLz +25GX9PKe2ruGea+B7WWu4f/AB4Eca2T5/RI8GR1behgO8NsAdjB/L/gRPk85 +CN+Fzc/CB4OdrDcD/THwZ5RDmFqL/JXqOfKp2NcGf5QzTMo6BhQLr+Y9Ng08 +xVgjNnblXDNUO9YnzgvlqHK1H/KrnG06a/eFL04dW3oj9FYcyrcF8H3M78/9 +NeVdG7XGbMYexZbefCt2n2lW3mv1QT4K/UOrPLdDscJ+bzBnGnOvAd+juxh/ +XtHTNszH1vl6z3R32L8wsW+bo30pH5fzrb2nY/YB5r+eeK07kFfD78LmScxf +DbbDt6PzBPrDuLOaomO7NjoXFOP3onNFhWuQalF96lrxC2eYn7oGqxZL5z74 +OuZeG11bH8m4djZG10bVUPlcvj8EjIdHzr8p5zMfQP6BPe5kbBjfHig5VkZH +361iJsEHv2p/0Lfot+uC6L30hikWzouODcXE3pLfAt2R7qo9sS9UIzvUDxR9 +9hvx72T4WHA88nFgRMFv7dvRuaw3V3emu1PMD2d8dsm23sPenUXXCNUKrTEO ++WR88nvGb+QB+KK8ew296fejWw8mZv0G6i1sQb4y65qs2qxYP787NxTzJxSc +a+p5BhVts2wfyn5T4L+VbMsnqk/YelXRY4oJxYbeBL0Niqk3Fc+st6aHa35r +0bX+suia9H9N0a9k1aozonse2a9zTEh8l7oz3d2y1LVfNV61Xneku1JNKBT8 +1t0S3ZvozVtZcu3Rm6u3V2/fjdG9jd5A9UzqneSTVvioxLX8O76NhLekflvU +k6k3a0rdS8nn8n22yr5QjCvWlWPKNcXcOOxZkrpXU4+jXkdv9+3RvZ7e8LEF +12rViJS1NiauxcpB5eLjefcmK/FHI/JDiWujarZq94KkO1f1Zsveorl83lBw +jVWtvYhvc+Gzomugat/LYG50T6ReSDVwcfSbordkZ84+kC8UQ4sS9yJl2FTR +3ZOoR1CvoJy/O/VbuS96rt7MMcpB5k5lvYEl16qfGP8m55rVEv0GqPZrzSfz +7mXUkz3Mek/nXQvU4yxALud8+zPuSXoUnUPKJeVsP+Q50TVdtVx7jE68t2p0 +A3w5mJJ1j6hecU5i36iHUS/Tlro30B6npO7p1dtrTpvOUnJvpjPl4D8k/i+h +HlG94n+2Rsaa + "]]}]}, + {RGBColor[0.4799129124999999, 0.50704019, 0.5170638649999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmXtw1dURx3+EJDf33tx7f7/rSMSOjq1SsU8nsVXbEVFAwXaqthXGR0Ht +TKvYAYGEh4pKElBBgy+U8kp4VXn5pDqjFlHrCNgZS6dQJWjRTjsqtBXQmaoF ++/3w3Qz94+Ts3d+ePXv27PnunpMvXzvxxxNqkiT5vv70py8lyVD1J6j/ZyVJ +VtUnycBqkuyqTZLzG5JkouQuLEtOvy/OzBsW/KvEf7MuSU7SuBPUdojeoLHX +Su6XUv6+dDaLv0/8tjRJasSfqrkuFL9Rv1/RXBXJ5/W9Qe1nmqNG/Vi1IbXW +wXz7+yXJYfEOIaPxI4N+UDZMl/7zpGeG+t25JHlbbbZkuhosh871svNT0cdr +zoLay5Ivqm+QPXskn2NdsikR3Sz+mfq9C77GHVbbqLFjxN8o+krRH2iusuhe +2XecZAeXbPN7Wss5Fds6RP1bOeuZJtVF9b1h25Sc592k8e/kbPdnWktjzmOQ +r8+8loayx+2Oscj1hsz4Oo+H16b5hmhdU9WP05rHql0lmYvwlehdmmtxPkkW +qfXTmLPFP0vtZLVrMu/puMyyF4VvOwvyLXP0N29U8Os0z2bJNSfe21dEv6Q2 +XnKZWm9iWcYw70Mas0Dt39rHVH2VfZPMZM25rtZjsuAzdpjsO1/tevHnyoa7 +1Npl97el79hYyxv1jhvWmRf9+1rHMXExMuKkt9ZxO170wMw0sfy7guMLW94R +vVLjL6m1bvYXv9GPCx9u1fdB+n1preNpZMiMDR66PstM/6Ts76P6ZGIMND4m +nonrx6qeg5jizJ0uuklyB2tsC/66TDE3QHRL2fE8v8HrWq+5/iD+KvE3Z96j +J0RPL9jX+Plj6RwrHw6S/OjQg75xOfObxH+fM6D+FvVPqnWK/qZieXPOck0R +t7Ny/sZ+sC/sEbxixGRj0JztW9XnQ35tg78Rq4Xgt4lu4GyptYq+OegO0cvz +/obMyrzHoJNxt4bM37TGm0S3J+6nB82aro71PqK1zBC9TmtZnHqew+oXqE0S +far4D4uezHlSP0K+uiFn369PPc83JHOD6AvE/1Vq3S+Hfuy9OeZ9JrUPviX5 +pZllkrLtwoZZ+vlfyUxRP7zk+Zh3mOgrc/Y1fh4RMT+lxv2woGc2mMb322Vn +R4Njf576uWoXa+yazLGxITOOwifmVuj3VvXLZc8c8e4Ieb4znhhaXPb5nSq7 +VmXm/0b9ManjfnvVcl2hE+xhX9nT7sw6V2bGO3BvW8Xx3xWxujrznG+VHQuM +JVawC5u21NrmOWFbbWYM7K/+Xq35CuJG/Mtz9he+elS+axW9Qjbelpq/QLz9 +9ZZDphWcl+4pqXVcHnrWSm6a6NWxtyPCz/h4eNBJ5hi8QLIjK8aXURXvC/Lg +3PqS4+/R1LFFjI0Qb1PB+NKudn1qndep/1DtRdF71R+UrsGy7Rz5ZKbkblH7 +a955aad8sbbWe4Rf8Ak9WPejxDjYEHS36GVqdTljJ1jO2TylzvjO76X6vkSt +f854D39yjfNhTWA7uPhF4OS5suU68Q70s/z1gedHcDby6ZyiczfYzToK4u+W +3J6qdW4oG9OPYLvmej1vzCOPD623Xmw4UO89G5AYOwdF3h+YGusfL3stg0J+ +aJ354P/hsJkcTH847AdDwVIwEPynjqFW2VlvnDw9fHBK6MwdkyTPaz0HZHuL +1t6s9lGD7UCGHMEaJkXOmhJ5+7bw88khc3LkU3x1KOzZFXg5PnzI3naL/5Fs +OzHqJeqmeRXn1OEVY39T4D862Vf0H4wcSv4Fy/H3tDgX+JDYZh/+Ht/w1eHw +z/TUebo5aoMdkTfRR77Ab5wVZMjjxB+2YidzbYz9/XLF9R5136jYB/JaTewb +sdS/Yn9fnfnsoXdR2bVER8H+X1917qRu+iJyNHZ+XPFc1Fz4fG346vnUPrw0 +8xniPIMNn2dezxVl+3xBrIV9/jRie1TUA/iNfAmWPaJxM1PH32B6aswGxz3r +p7YB56lfidt6xUh2jHVSS5JryK/gzIOpc8cD4Lo2YVLetcidBdPg2yWZazNq +tCVxXskLnN1c5JFqxBkxtjXvPYdeF/vBtxkF53i+zw385jw+l/q8PVvy+d3D +eP1ekTfWkot78s6j5Dbim3jmjHco9n9YdFz21WHEKueMGGJfdkftSp1JTA2N +vaeO5ByQUwfFmSIOFmidRa33oorrY3RU5LcHAkvBVPIB2NZDrV12rlibef8H +RwyDG9vUbqxx3QqG3S65AVrjRP1+VXITKq7bjkudx+ZofItkdpRN31OyrcdG +DQYeEPNgUWveeYg9ok4n1jlTxBFnEAz5pN57fUpinMZvxCR5rDfqHmzFN4wl +bogf5MnV/6h3vp6QN78lztpLEWPUCy/XHh33Usg8GrmYnAzvleD3y1wXnUlN +kXfMvRq5lLywJXI58tNSr4WzQfwvj3zdl7cZw/qpHbointZFLbEm7nr4C199 +Ll21mveM1LzewFvqtBURW8R4b+DtpIhnfIV/wCV8tC517bRG/Qepz/Ghkvdk +V+ikDuyJs/FF6prwu+oPqdWL/o76J1LXhI+p/5S7peiW1He4S6KOpq47GJg5 +Rns3uuB9IIYPxVy/TV3LPq3+1yXXvZ2i21Pv/dfgR/1GHUeOACuISfoDQa+J +dW1IjSNHvvVz/1HQDzQmyf1q+4oRRw0+45+Id5/a3qLXw7qeSj03Nnw99X6z +78vUn5W6lupJA78kc1rqNbCWZ9X3CGOvkb631b+Z2c45Vd/xuIf8POJoZewd +Pl4ePuc3ewpupLKrqWhMmRnYwlrADGoW9rcca9oT55VzS8y0B1Zxjsixr8dZ +RgY+ayemlsbZZk7smRr3jhVBEwvY1hZ3gZ6gc0F3BA2eUoc1FXwuzkscL92B +uXzvDhny/LawYUDIg9v0U2Istd4vis49rJ11skb8gW/BWHATX+CHvm/wZ1cd +Bx+UvK+VRvsLP6WhB7oc/EeqnmuUcGtgyfgxV9g2oOT6aFbqOwZ3jXfLzi8v +Fnzn5X68uWAe9zf2bWPq7/DBYrAOv7Au1siaX41cx5ngLs/6yVnopG+N/HW3 +7Loxb/yB1xa42RYy6JxftN/QeW/R3+CfEbixMPW5ZT8WpT7PxNyS1Lonhv4x +ge3YQn9j6Jwdd7BFWt+pysXtmuO1qtfUGnm3JXDgodRjWSN6ZsReE5N9cUDO +JRcTe5ztr6TG6oVl16iP17v2/U/F9Ejxv1Syn+6vGNORpw4/Id7QHoz3s51x +n59dMhZSE22r9zsVNSd14tDQf1nF8bK64r16MfbxybLrGO73x2fWmYq3omz/ +/qVqrAVzqZ96yt6DneJ/L+zEXt588MnkqCWo26kn2JP+wW8Lelbk8a1hJ/22 +oO8v+y76cGafMR6/8X6HzpGa657Mbzpd6ovid0qusWrcJe9j0+pY7zMlx15d +5NbJOdcT5PetFdcD1AWcH87R6IrlyMXkypqQp/bgzQesB+fna86uvOXw99A+ +n8c54jyBqfNDhnhYEjHAb8ZS11Fv4Dv80z9kZgW9KPjYsDje01hrR97xQB5u +j7MDrz34l+msf9zoXMg82IBN89TfnfdbDFgOvT/uRl0h0y/mxT+8iaG3GDKM +p/4n9/GeRf67XfP8qdH1HTUQtdCyzLqZg7m2R20yNuzZHzUtZ7Qu9hcbP4k7 +Gve/NyLmzw6MAqsGV/0uc5r6IWXXbwfjfrM99E8PnZy75rLrMWo33po5M/+q +2LZ5YQdr4F2OOgzMxiZwe1bB8vD3VSyzt+K3lvcK3iPO/oTAk6ni7ynYb9Sm +3M25F9BvCroj6L58RY1NzrpC/nuq0e+s29Xf1mjcAUtm/J8sNNhCDTM96E1x +30E/WNAROhnDPNT38DpD5t24O3OHfqHofEmuZP4nw4bX1N8U+ZhalJxELuau +1hk1/Naq6S3q/1j1vfqnZWN+U9xJFhYdF8iDMZ1xL6MmuSV0kpOg+/L7zHij +uCvw6Uhsh89Y10lV782HFcf46Ijzp9Wf1+iYIGbnxlvuiZK/Q/QPKtY5N/LU +5njvhW6P+bZEXroz8h35dm/UH+w/8xIP4AT3H/CF/E6thg/BntGFozllTNSB +1F/IUQPwfUzIsL/NhaM1Xku8CTAGOXCM/H1u+OqrVb8JDEq9xjvCfmquF2If +2+NdiH3/s+TvEX9Z2Tmzq+hc2Z263uH/JHXxtkk8k0vvKzrnEn8LY+94H+Ge +9pzkLy/7LsydmPetthi7KvUZWFNyLmVe8infpwbecm6m5Y7iW1vw36x63pXS +vTR1zcXb2I6qbe4uu67ZF3vBmym12OOp8wDvROQczl9r6ATHJse9sTVo+OAT +dUZL5IIpITM83kZGVFw/ci64kxPTxDbv7v8DyZpzrQ== + "]], PolygonBox[CompressedData[" +1:eJwtllls1FUUxi/MdKbtbP8ZIgoPLEYEolHBB1GEWKEoSkRQMEBkM5HNiAJl +U0AohURkB9lLoSy1FAFFjGDEQAwWfRADWBcIaDRh0QeQRDSAvy8fD2fmO/ec +e+65557l3370xIGvNw8hbIPiUNeIn2QIV1nsAi7OhnAG/heoKB9CDPoRnIa6 +IU8i/ynptTiyC7kQhhWFcAfGuiI7UQihMRHCAPjvwDvR+Ra8qDiEOvB6bCTY +O5lj1+ls9hyBHwlVwY9EZyK+9EJ/FLg1a9exXwbtQ7cDNs+VhjAV/W3IVmVC +GAo+DF2E36g7gKdgegN4fca2h0OV8Kvhh4GHQLPh10Jx8CT014A7Yv9X7M9g +bafuiw/n5K949h6EfxBffo7hOv70hV5NhVCOfDz6J9MhvANVsrYWGoD++Jh1 +dmL7KvQ5+Ar3a0J2LzbPlvoNngS3I55N2J9MDNqCO2Dzi5h9KEZ/LHxvcC9o +DLiGtf5sX4i9LeBa/FmO/YoS4sxZW+Ab415rgh+Mb7ugf7H/O+tXWDuUsk/y +rQzZbqgUHzohT3HGEd6zHtwPf56BUvAL8bkN+p2RX4FviQ/d8P9r1uZj6zT7 +h2Vta1DaZ8nmpchvtYw7XQA3Q39z3HsawWegUeAX2dOlBfvReUtvh/0G8LM5 +n13J/UrR/QZagP4k7r+Y+19EPhd5LT5dBn/Entnsn8/+feBN+PQe+gvw5RR4 +Kjo9E865KvzvC18C/wT63eE3YrMS2ydYW4d+Ap/GxByzJLge+cvoLkVnV95v +prfTG43jvPuga+y9B51HsXceG1XBNZZA/33kzcFvsrYa3IS8DLwE+6e4Wx/2 +VATn9C3kn0Jzk7ZxQPmfs6+HuXN79KvZv5i9bxCfOHw58iLO74rOY9h6CpoK +LsVGM84vQf+scpd4fAbeCH0Vt42TepusfZmMvSLVBjQc3ebQeXBa743sOWy2 +xfYBKIr5DWuQ7c5aVzWcJ149ss6r/fB/49tdkXuHaqoVeJrug79l0HTwbmyc +QjYCnSHsnRs51xTTeZFrWrU9AlrH2b0yrmXF9DqyH9i/LOWYKrZvqz8E5+ys +yDWr2u0DTQCvIO9KdAf+L6ccE8VmH/z9+L8VnSlJ9yD1ouq8c+ko/m1Qvued +C+p5DeCHWWsZd898RP1P/S7unrcJfn5k37+EbnLucs4p5j/H/yXO/4sYbEs4 +p9sV3JPVm/VmejvFXLH/A527sbWcteMJ9+AW8Leyzkf1lPY516RqUzVdirwz +Nn/D9jxs1MO/knfvVY6PBq/IOXdUEytzzjHlmnrAavh3c85t5dgi8NP4czTh +mlRtHue8cdjaw9o/yNdm7atqSrV1Gp2lKeeccq88496tGXEDfyL5m3AM/sy5 +5lX7yrlUwTWp2lSOtEF+KefaV09Vb+3PGd3jrvHnwb0znj3q+f9hfwl8ObIb +7H9c/mftq3JQuaiep96nO6Uj986haeeEemgdazOTjmEn/MllPRt0ZivO2x+5 +96hmP9H+jGfLdGgH/AcZz7IKqDby26+8nXvKAb2J3kY9cBf4AXLw47RrqCdn +vRY5d/XGemvl7jHkd6acw3si9071wL3g2rxnhWbCVvBx7nezyD2sMecZp1k3 +Cdqi+RJ59qtnbAZXR+4d6kmbwBXQ5SLn9BTwnLRnoGbfPGhm2r1c/UA+fQ8e +CPVLeUY+xH1OpK3bEbwSGxOSfhO9jb5J9G2itVXg7eoRSc9ozeodeX9baAZu +B6+BZhU755R7mvGa9fpG0LeCZqZmp3RWIJ8WuXZ1h+nqr+jkY57Zh+D3Zv3t +oRxsje2hWfciffN8WHDOKHcUwx7gwdDYmHvgIPCxgu+mGadZ91Lk3qeeMBg8 +I+dep5pV7arHqteqJmqyjtW1271AMdNM12xXT9uK/IWsv7XUkxuQLcl7FuoO +ByO/od5SPasu45xT7ilnGzLOOeWeYloPv6DgbxPdoargGaJZopmp2akepV6l +b6g57P0frG5dYA== + "]]}]}, + {RGBColor[0.539107115, 0.56238831, 0.5664840724999999], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmnu0VdV1xvd9nHvuuZdzzj77AgK+gAhVNFpe6YiVpI2jFo0PRIlGazQ+ +ADWtf9SOmNbKSzEqEEGtIKC8LpeXEdMYBEEREFCiAoqQSDRgFEGEACoQAvT7 +3W866Bhnj7X22nOtNdda8/HNuU6Xm+8a+G/VSZLcUJMk+iX/Xpsk1xWS5CaV +g0pJcpXK7eUk2aG2y0XwPdH0qEuSS2v9PlH1X+sZqPe/LSbJ4/q+UPRv671F +A8/Ws1R0mZ4m1W+udfmg6M7PJckXep+r991tNLaef9I87+jZqGeAaGo15lS1 +F/RsUNss0c7U01ZPOz1bRbMlTZLmfJK8q/KKGvenb0+Ve/TsVtuPxNNXKm9Q +eaH4vUXPEfU/vyFJ/l7PE/o2X9/uUPtzZY/dNvjcpTF26ukYa2gX7VeLt6Mq +t2ufXtLcD4qHRWq7S3S1Ne5/k97/3Kg+TaLRPDM0/p3q87nm+INoUvVdrbZV +en6lveiac310VZJ8SzRf6P3vVDZo/B/r+/WiX6px26vvR8xdSZKTVF9cNG/s +M3tyqsofq+9v1XasPkm+rbm3qv4d1hA0r2vcBzTXGyoX5s033y7Q+xrRjit6 +f+jbXfSX5f1OvY/GXhM8Ixuf6OlQ473iDNj/TDyvFc24kmnXBv099X7fKZqT +RN++4DV00xlfq3GXVXvO8+Ncrs3cfpL4OavOcsdc4zXuIo33M/F7iuqH1HaT +6q+I9lTR7df7GNV3a/zTVF+vc6jWmM0af436fa5vU1Wv07jTNHejnnczt0/R +eB1F37nGe71O9HvUPk30WzLXp5cs/8j+lzXeZ/a4A/uv8z6i/qepbNH8s/WU +Qu7SkL2d2p9l2tPPUuvTMo05A360hqWq51QeqPF69qnsovcXVD+ueW9sY51B +X8ap3Kvn40bL+HL0Cl3VuK+q3qB+f8m7flDte0Q7Vs+fRF9f67k+U/upFfPQ +UePny96nh7U3/1DreT8UzVkV7+0gtb+l9r056+MG1f+s+nqV7Rgjzpfz6hFn +9lLROrRcfI3J+xvneErBZ7Su2rKzK3TtLtHPlB5M135/GjqIXN1eNt1Qlauq +/Y12vu+KOv15n67v38/MW2/Rz8vMz79q7GvL5vMalVWSi6TBOjlf6/9S61iv +cq6ez1V/XWW/0Av0o2fO9GfnbKuQK2wTbVWh55ztUj2b1f6M9vtpPQ16rsCW +Fiyfa2J85unLeWu8Oey/vm/VU6dnldpHoD/a+63i+1L125xantrkbBeqCrat +B7Rff9L8wzhv0V2t9vmSy0ni4XWtfYjeq1TeXe3zxI5xvtS/Ut/zxN+5ejq3 +cduttaZBTpCREaIZXPCc+IiL6u0zWv1FwfP1U70kvm5BL6pc3hzjPKW5r5Pc +ddUah4jPwQ3mD9t5Xr15wJ88+f/0inK8+m4r2x8NCl2nPiGxvLUNGYbfW2Ku +Thq7o55PNdZFBc/7F9HcprYeop+oPWhW2+/1VOn9Xj3fDZ7PyflsD+j9EdGP +0bNEffvn7T8uVPulZZ9Bo86iQ4Pp2P/DFevzleLz/pztBza71YbV2L5h89oV +XKffhXF2o1LbkKd0zi2qvyL6v8ls5+5s9N6yT5wZe3Wq5jgsnk6vWMeYFxvS +P7NOvq/272icPfrWqeT19Ys1cnb/HOdHyTv+uzHnOme6sc46wh5fGHvBPpwi +u/aq+Dmkebpo3GPioavmylSOrLPP7Rm+9xnxc57o75VM/Ub0k9Q+Uc8xzlh9 +/lNzvlD2PnUOvwZmGFpnf/bLsjHCI0WfGz6aPneIl9uDJpe6Ple0K/X+mOhq +VL4p3oapPlJ955Q9ZovKF2t93uzDzlrT9NYcm3P+hgxhO7D3YJ4NgUnQccoN +YWfw/WCA1SrXa20Pa082ZF4PPC5Q+VHF/me5eHi62j6nj75dXLQvuFw0vfL2 +zVvDz05GBqpt35gLG9uUeY3zysZYnNWwstffL/q2ZJaPKzXn/Rqnf52xCGeO +DWC975WML0qpz4fzGq6yruJ921ayPcZ3YpM3acyHVN+i9jdqXV+p9jdVfzhn +HitN1qNnSx5rRNj2+ZrjXvExT+UovT8i+tdE/83M478v+u2aa5ueB/K2cfQd +WLT/BMOAZXrnvUes81DZZ/dGyTYKW4YuvKY5HhPNytQ2AxuC//yg7PofVD4b +GA+sh86yJ9iBM2o8z2HtYT+1X9Bgm7q2ZB+EL3pb9Z/o++80/h2pdfDikmWO +c+F8dtbZ7mBzmsPvj1afeep/DOya2lb11dOUszyDg5FvsDD1J1X/77DfgPIF +6nscLJ36DNj/zZqrVs9q9Xm6ZJ+B7+hTdj/sf5XKhanrz6lcXuOzaAX6DfZh ++DtsGHziS14Q3UjR/FrldD1HNW9L0d9YT2PwDf57vtY+Fd96cWZMRzt+f5Zo +e+Ej8WdFj8N4m0rmeWrJ8/cKHvrEntAXOwkW3FLt/WEvJ8b+nBM2eUy9ZQ8Z +3Bf7hI9gHc2xlraSyb2SoRuKxuLowRc6y09rreu/EP2HZWO4P5at8/gtfFUx +5zr6gswhe+gXmHBv4MKv6bDb+EPmxGburrVPxy70E+1zga3Bavgf7NKQess0 +Y1+nfemj+g9VfktlXz0Hqzxn76j3Dfmnjh1EXjaU/L1PtKO7i2P8e9ABtf9U +5ZV517EnvWJ8bM3e2D9sC3pQjPVOF2/7RbOpzjrZHDKMTqAbYNfqguvoyCzR +dMnZpoCbwc/vSR7qMtuLmSXb8wuiL9iZ9mlh39ZFnXPmvLGbo/PGBOg1c9CX ++ObNnH0S/mhznXmsClmEB+zq8Tr7FuIs2roGb8hGS6zl61iLftif0TFXz/D7 +6GCXNpZDfDQyx5jEs98reuzuRetrj6AnvlsSmLAlZD5fsb+DJ7Aj9uHT8F9g +Q3AW8QJ9zolxtmmMz0UzNrF+oEuscUWNdbNa5UMF0zAH9oZx8cstodeMsyT1 +usZVPM+5MdeCeo+JbvKdMx4dfp86OsLazwscuDLiJfzWfRp/NzEd2L7odeDD +t8R+4bvp1yX2bYVoTpcOXJd5LZwX+t4z9Z70Sk3bOfoiO6tjLnzjZ3WWHda6 +O/aEtf+84Hcw1Lkx17nBM3VwX6fAKs3hWxpjfvioCj9EnoIzRW/IMaA72Nod +tbYPXbS2o5yTZPjeyB38V8RnbwbmrCm4HdkmPscWrNV6J2vtDVr7ZarfUzb2 ++mnZvg6ZQ97Aq5sDK+PHtkX7pEbHo2Dt08um6Vz2nO1iXuI5cDAxHX66LvxX +26DBlr4buZH3VF6ed64DfAHm+TRs1PPis73muypzfNKmjeOE6wuOEckH7Qh6 +9gT7xvujqq+oeN5zMucLkPHHUttasAey9ANkQPXry6Y9I/gkL/Jao9+xPx0C +P4MpwZYl2e+TIw46gq0W33NzPtONkSciRgVTfVywzIwJzA8NJWNODNvSMeqt ++LbO+Glwyfh3SMVjkMcA792ees/Ze9ZxUawFOeKMqKM720O2tonn2eJ5e2bc +SEyKTWO8HTEmeIh3+F0ZPNM+pY3zXMgfGH5H5FIGlx0jDykbj8M3PHMOO8OH +fT91bHZJap1AN7AJ6Abv6Clnztk/EXr0UOgONgBbgC7MabDtIDYakLfPwF+Q +D8J34T8fqHf78mrHr7tDBninD7Z3WY3nhYfJ0c44B/OWU2wXNhJbeiD8OX4d +e8XZtsZXer8ib56fCr//ZeQJ7wzcBf7CfncJG8536MBn9Lvs6741xkHEiTvC +NyPz0B4IeviEvnvQoP+sq2/gnKbQN/RqStiM9ZHffD/i8XdS25O3ak/kQ6D5 +UeJYBx+Abnw3YjFisjl500FzRpNlmbwL/d6O9seLzh/cF/ZyUsRNfSPmRcfh +CR5ZB303Bm/kgdrnIzdVZz5mBwYFi84lt5Oa5pqi8fnE4JO8w7HASIzDGOwl +GJT9mS/6rRXPdYlk/geZsdE1mW0ctq6/dGtS0fEsce3ciCHRzeP1zpftSHw+ +K+KMWCfrfUL9nsgbz7eEPq2KeAx7BubAp08IGs6R85wQ9SuLjkX7abyPG+w3 +mQNfjYy3+vecxyE+nVDv+ZgLPLsxzg+5bY0nE+ck4bl7+G7yO6SNjsV+oWus +e1HE2PnI37CH2LN3IjeKrX8xYvAhqetDVR4WzyOxEal1fEfI6sbIR5GXYs6X +Y96Pgg/qTannJSfK/tGOrycvtTHsJPEScdOTFa+TvUIeRsUa0c1ik3kkx4Y8 +j8tbDsG2jYFvyRkTx40KXuH5UNF5hxE1tn/4MmwGdpIxfpE/oQv0Y154IydL +f+qUxNefNBjLwtP46Ev7Cs31KDm1omNEcojYSfKJ5PtWl62H6CN5suFx5shX +GjgCHw32fThv2/Zy6vqy1HPAK/rLnI8GzyODD77j68G+yPHiUuAGlbtCbtFX +9BCbhD0EXyO3jPlB6ljgErBhZt/318x3EuRtTy7Z1kJTG34SGuLSz8N2EYue +njn3MVv9DmfGXv8TMSIxHrYLWUPmOHdyHtCTJ4Bv+MfPgt+psyfET/uib2eN +OU3f9pSN3U6K/PzYinHiuszYmzhhU8TY+yL+qooc45rM2Iw8FzqO3rSLOvnR +aZEjnSG6AWo/FPcY7SMnxn0EsRP7sa9k27FfZX3BetU7YpCqWAtnNSfOC7xw +cuheOfV9SjFsHvk09PGY9mu86venPutxcb7Ye2IDzu+OiEfwO9hsZHtG+Fbw +C1j08mjDjzPGa3HWtE2P9kOh14Um48SawolzqIn9xw5h11plt9q8ob+bUts5 +cjbDUrfDO7EnaycmIodKLhU8/0BqP5+UnKfAFq5KjQ/ACWepfQHyA94r2Q6T +08Wmge3BkYcDM5wfWBGapGA68GwS50h5PGz4lPD3jMPZ5MPugZ13NNh+YmfQ +bfSaeAU8hy/gPqFQ63w4dw/cQczPjJU+Drx0KO87DDDEM4H50K9vpB7rDJWF +sn3VjSq7ZcYiM1LzPSV4I/eOvKFHxOJH8sb8lH/Nm09ytR85RdLK65Foh4eD +USfneijqB6MOb6z1cLRjf/A92CD2dljsL2MejDgOOaUd3wF+JB/9s4jRmiMv +zXlwj4e8kTOrC7wPLidOwCZ/0misDmY/M7MdmKO1L5BejddYz6ocE3eNaeSg +mgLP5Cq2Y/X6/suKfeH7mXNQ3CWQT/og7MzhyDmB+cDb5KbRqWaNOTzWeHLk +fYfHWX077vGQ64aILQbH2a6McbijIp5pLFvGsaXIP3JUH/iftdLvpsjX/m+j +Za17xOOflf2d8VvzMXFHQp6efM2WOFf8/jMhP4zRPsbpFnErdLNSy0+3yGGs +DOyBLekaNoL7JXAJeo6/5+6DOIb7DOqc49iS7zsfrzh/zx0JtNhQbGn/wF3Y +DXwi/QZF3+Flxx33lZ0vY9/J+XWqOD+zsGQffiBi2IYm+9P6Jq+P/UdP1pRt +uw4WLVdD4s6FvO+IyP3yPjjio8ERB1DHbh8PzAPOmhAYiTvJ/WH358Q9DvYH +G08fzo6cKPkt/A5ycV/I+RcV38dMyuw/WAs5AWKKK0I38Qfo6azM/hX5RE6x +E9Aw9/7og89Cd4+G3h0LXUa/Odv68BdvaKwHwBslxyic77jwF/mQMXJj0IAR +sPPwjP7NiNw3Oa3JJcdCT1eclwJXYIebK85Lzq44bzE0MMeIkvN9Iyo+G86o +W5P9+eWx3uaSMSeYelrJ+Zac5pqh94fUd2bFse0jEdP+Xt8maJzfZb4nJh9x +acQUtBNX8N8B9GRnjMWYz2js54q2IcTu9RXHhN3Ud0nRPpj/FMzMvNdni75R +4/VvtB19NfDU+Ij18KnsITbgeMQL2CBsE3E1digJXDG04numWyuWm/3RfiTw +J3b4tohDwecrApMSF9SFT2cu8lstIW/EkuTd0H/ytcXI364t22cTb2GXD8U4 +3GOTc+HeoGfkLvG5UzOvsarkOQ8Gfce4+2PP+W8B4/yjxryt4lic/7xw7z4p +8iT834RxGfOU4Bm5Whr3y2CeDRHLcH+EfoOrwclNEctOjrgb/EzOGfx1WqP9 +LDKCfUYHF2Xe66MV53LH1p+4k1kXuJO4b0nsT9vA5Q+qPqdi+paK47ov40y5 +v8JOLYqc7MrAMNiIDmFPnk/t236Vel0vRc4TO7487CrngC0Em71S9P0X92Do +5ZHQzbPj/LBfX0V8yZ7jr1gPsXRX8G/sITHHo/Vu5w5kTdhlvp8SNOjKnlg/ +eZq7Iwbhngnf+cPMtPSBp8cjriYfeVXwAQ/4Mujws1XBG/szv2Ie5lX8fxTu +Kj7UmM+XjIk7xd3TgaDH7naMmIgcGHaTbwPBx1rbwqJ1DF07s+I7Amwj+4Pd +goZ1kX/AV6ODtHWN9oEl3/ly58z/kppCZnbHnrDGD1Pj6T+mbhvecAJ3DA9M +gh4gt/iNM8PO9ij53o47o7My5yTwU2BsdPrVWCPxyW8DN6KXc0I3X44YfnXq +/C4xKf63f/zvhLUsi/hrVMX6sTRkabref659nlaxPFPnTKdyr6n6U+LtxdR3 +nIvT+A9R4NK7U+eP/iN1/mlyyOQgraGD5r46M3ZtDJuGv70jcNfusnV0V9l3 +99BzL03ea8DXua/MfadofS9mtnOD4/8M+FfWjk6im4sz/18Hu/MT8FhqXPVs +5GNZC9iInHTPuC9bVnS8uSO1X50T/vil2J/W/5bkbN+IM24Nuzq4Yh15K87p +N6kx96LU9qMhbMi/xD3TDSoncq46m2/KH92o+jdEs6p4AseAAVgTdfYHvYEG +uRoQ/hpZmVByHoN8Bnl4cAAYAAy7IPr+H5S9khg= + "]], PolygonBox[CompressedData[" +1:eJwtl3lwVeUZxk9yk9wkN+eec28qCjWEzdYwWDtt1XamWEqnNihig6AQUGoX +QLDtH3bBlhYJSwsSrIi1omyBmATC5lJAQYJCAnSwQItBKYQ4iIPKUpeKYLS/ +Z5788c083/eu5/ve7fT98S9H/iI3CIJLrDxWUyYIXgX8pTAI1oIvKw2C86kg +GJAIgqpsEPTm7EIyCD5hlaWD4K44CK4Hf5wTBP2jINgWIsv+YdZOaGvZf46B +Hcg3aI+O7flBMBwbI5Hfh8ycgiCYBf1G8Dp4/oBswL4J/Dj2psO/Bf5F8Fel +LTsQmTXo6gf9M/gvwl8ObRcy9yH+KGe7wSug/5lvmY+O16Efw8bjyD7H6gI3 +QK+Ffg76augB6zF0zeZsKbSD7Jvw/yNsHgIv5+wfeda5Etyb+7nE/ZQhcwl/ +lqQtOwL792O/lu9vQb4VmcPQliEzp9Bnol3Luie/Wwe6+kD/NOlv6gv/VnTM +Bueh/1vggZwVoasM/yvg3Yl8b2QvLwqCk+xnw/MIvP9B/xPQOvBpDPqPsD8O +7oN8V9I2ZKuds3nQ96GzDloF++nQWtBxNXgs+r7B/uusMeB+kd9aZ9Wx71B3 ++TdWB/gUOsvwpR8+vYL98oxj5e1ifEffHtY92JoEz17wLnj6pywj2RZ9T8Jn +E6CvZK3C3g+h12WtU7ovY43M+s30do9wp83Ij2f/U/Q/z1lf/Kni7Fpof8KH +F/F3BGcxvv6EdSt4EDoKsLcA/mvATej/jLvaztlq+NdknAsPQX8j7RjX93/A +/jrwSs7OgufBUwfvPOQrsdXE2X+h3YrO4pTfSG+1lf04vuV+fNwCXgjPHnxp +Y2Ww9zXW5+CphOJQ+CN4GuBPc1YC7SH4n8mzTFb8+LAEf0dicxr73tAvJp2j +ytVenLXDm4M/zWl/g75FObcX2dVZ361iahX4IjKj2U/F31HwvgNPHbwreL8+ +0M9Gxjmsnux7oP8Q9P3oHAL/Cc7qkX2a1QluVbzxLWfQ3wZ+W/GJbzXc7yd8 +XydnjyJ7Cn1fYf8M9Aeh50BfD/5t7G+rYv0G/Bo6z8Dfhr4VkuWsLdd3thjc +B//a8x0DioWFfM9cZOfiQ23GOaJcKce/l7F3J/p6gntgrxPaA8hvRvY7rGng +rfBcnnAOjYE3jY25vP8u7EXgFmRWFvqON2Hvzay//QHsXY1srJqD/Pv40Ave +VnT2ZD+T1QaeyNkPkF8M/8/AA9B5Gl2/Y1+BfCE8O7Bdztkd7O+LHdtD8G8q +eDUy+/NcwxrBjbFzVzW3Gf6NaduWj/L1Kuhn0NXJfX8JXwtVYxJ+gwLom6HP +gj+Xs2fBX6YmlZQEQRJdXwVvwJ8pBa6J68HfhecCvDuRHwo+D+9Z1knu4FTK +NVC18DbWr8BDoX2TdRNv8H1WPnqXsy9mTWTfS/mUcI8ow5/XkKlP+s4Pg1el +XauUc0cUC8gtZL2FrWrkz3L2LHgG9P3wJtHRletvLgT/Hp+/V+AcVa7WlliH +ZOVzZehYUc4p94pKHasHoBWDB0J/t8A1ZBi4AhuF+FMJfaniA56d4NuQCUud +E8qNbbpfbN/OfkrKOaZc+xSZ3Sn32B+F7iHqJTrrAv88dK+rYE1U7eIOWgtc +A1QLctK2nWKNyLpGq1ZP4r1nQluDzL3wT+G9y6GPDt07FFOKLdVA1ULdyXTw +F5H5H/ZvR39n5BhWLMvn5qx7unq7cnh76BqhWjGfdSDrGUGzgmrqBuiDuIMb +ShxjW+FtQOfkAt+h7rKYs46kY74/ulOxa516RDF4RuTcuImzB8HHkGlMesZ4 +Gfrk2LOBcv7e2DVUtXQa31+L7jB2rurOFqi3I9+e6x45Q/NBiWNQsZcC380q +CI2f4JuWdcd+SXeMTor8FguwPxY8LnJufoC+6sg1SrVKPf5J7C0J3Ys1U8yB +tk41OOUaqVr5ZuS7Vg5dCa0dnuEJx/wR8BWquUU+Oxq6hquWS0eGu+3i7CW9 +he4Q/rvYn0u5pt2BbFvWvVb+K5cnZdx7VHMmg1ORc1c9Q73jldiz02Osl9B1 +gv1GcCn2t4H/GPktKlkPh17CmlG2xH7rp1hF3W+umU6znWr04Mg9Q71DNfGM +5gXNJAn7/IVSzziadTag7zh4HOu6pGfM8eCZGcf2YHjyNJtE7sXqyZpNbmB9 +yP4037iN77k5tK7BqglZv5nebiY+7wIvxc8EPImEfV6X8SyhGViz8FWlzv16 +/B8AHgTvyWLPqM3Yv4b9W8XuWZtUq2LPupoh1kC7GZuH0HUen25Rb4ici8qB +RnBz5Fqvmroucs9T75uBvo3gwaws+D3Ovh27R6pXqkb/nf2wrHUfVA0C18We +XVTzGuHdm3bv1Qy1BzwBGy35zvG7wee6Y16xrhqqO9Xdqmbkx57ZNLtpZuyr +/hB6llJPfQF6DTrnpPxGeqvhsWudauItsWNGsTNf8QQ+kPYsrRn9n+BVGc9O +mqk1Wx/MupaoB5fCvzztXq8Z9TC0YWn3Ps10DewXZ5zrp9H3KrSPQ/dW9ZA9 +fN+JyLPpR+zHgyvT7u36p7jA/ig6FhX6jeqhtcaOfZ2tz/gfRP8imonXgt+N +PJtpJnoP/OvYvU0zmGaxDbHfTjGiWJFP8q0n/GMix6RiUzPRqNAxqdhUjnUg +ewybQZFnxic1n7B6JP1mRaoVmrlS7nHqdU/Dv6DQM4BmgZrQvU85cH3k2J5Q +4l6rGJ8cuTdpBnlRvSx27VBNfEezVujcqGHthrcDnYVFtrkJ2lOhe418lK/z +Q+eGet6V5Ec/vq865f7+Ycb/ZPo309kS/P1r6H8R5bxy/znFUNI5pFxSjCvW +VfNU+0pLPUdoZt7M/mjGsb6Iszey/qfTv53uoD7jGqxarH+84+Aazm5MOEb3 +ZT3TaLaRzefBd0Z+G82wmmVfz1q3eox6jWJGsaM3GAJ9bNb/CvpH2QF9Vsax +LRuytSztfz3NqP+GtzrrWVMz5Auax0L/u+hOdbfvp/2voB6oXjgK/iugz+bs +X2nPpJpNdTY66zfR26gmVKHr/xRMMu8= + "]], + PolygonBox[{{4761, 2374, 3128, 3279, 4760}, {4790, 3196, 3312, + 3046, 4883}}]}]}, + {RGBColor[0.609232745, 0.62626053, 0.6225373175], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNm3eYldW1xs85AwxnhlPmG9MsdKQJaIyVxO5Vk5gIWCNGY6Lo1WhiyUXN +teeqUTQq9gIYRSmCICBYkosioMaWgi0gFtAYa5qNxPv+5n15cv/Yz96zz9rr +22Xttd611p5+R5889qRKqVT6qFup1KL6xaJU+qRnqfRSR6m0Xn0vdC+VJqhe +pr5HVDbtUSqNapRKU8ql0km1Umm5+h5V2Uz9E0W7uerr9NtuddFp3OebpdLw +Hv79F+rfWR/rq3ZZ7YM1/jN9s6f4XaC+C1Xe0d9vqQxR2V5lD03qJvH9odpr +NLfb20ull1WPU/8Jot9c9dH8rnYftXcU3VCVYfDQ3yepf3d98w7N52qNfUlj +dwh/6A7QbxdqLgNUZqj0Fv1dqvt16sdepVJ/1XeJf039s8Svv+p+mf+cstt3 +q35T5JuG73Zaz4saM0D1veLfEM05qk/TfqxRf6vop3UzzXGq71V5S+2+ohmo +77Xou4NUj1ffByrXiv5M1X9XuV3t7cX3K6I9X/t3vvo+Upmpv49XvUHlLs3z +RNWfqTyu9n6iu5g9Ub2t+v4CvfqLpr97qfZmkMrvtT/t+u7dDe/tbNVjxPcU +tS/Rd88Q7RSVAzX2CvF6TL+d3fC+79PDf5/bcPuchveXPdlMZZT2farGvqHv +vC/6X6n9nuob1f+w2n3qPjNoN1cpaR6Paz5DVU9s8djDVXeoLtgTkeyCrLaV +Sruqfl7fnJ61s767ssYP6t77SzTfHZEf9b+lvlO7u/1fLR53mMYPVX23+E3o +4f1CLpHPgzS22vCZHxKZvyCyukLjr9G4B2hHjpernqb+K9W/t/of1d9/Vj1W +Y5epf7L65+jvjlbvLb9Rn5p9/rTFe9Jd7ZNZq8rgFp8Fvw9U2b9hufqW6nVa +z1nicbzW16fT92VFzd/mDiHvUzV+XcX3Yy/J22k9fIcWafxWqn+qsW+Hfq+S +78wo0SzQt2riuUpnUVc9XftzucrrorlIY/ZX/8Wq3824sSp3it9bFX9/rOrL +xWOQymLRnS76JYX1AvrhkIbP6f2MHd/isxmm+kCNvV7jBqu8rvXspLFnaewe +GvsF7d3uqhuqmyqvin4T1Z2tPpfPtfpv2rOraYvmfvHZTHy+U1jffC40A3qY +Z4u+9WvRbC6awwrPH56sYZzaV6vesux7OTF38+WGdcY/Va+o+64ur/vMzsyd +5Z4jt8eqfiz3s73F+uOG6JDTu1mXLVF7OfpN7Z6qx4rX8ZrPLM3nlYbpN6tb +vq7u4f1eqPrG8FkoPud2t247tOH2U3XrifOiK37WYt1BG71yVub5QsM8n1f9 +27ppnlU9pmY5RZYH833tyXYtlpEBrZaT7zRtL/qLZmXD+/uhxu0vuovUv1Tf ++p14aSmlA7WWwaJ/XzTbiGarHrYT2Iin9PcwER1X+Fyh4d5wP7fNvd6/m8dA +P0nyWIvu+J6+O0K/z1P9tYrPlTNlbwZkf47Rb0PU/oHqflW3GcMejFD7ULW/ +Lbr14rdO5VjRXaq/f1izfmEeyOpMjZ2hUmu1/mBu/PYz0fZV32DR9Gt1Gxtz +t8YXWte3ta65am+i9hi1+7earssOtVqmF4QH/dfqm/uKrkX0+xX+bl3914j/ +KvEZof4T0YFqj1T7h4V1PTrszob1MnOsiucR+q2faIZ1Wg+jg99jnjqLdVpD +b42biI0UzRmF7Qm6lXX/jnNS/wnqn9Dd9Oi5Sfr7APVfjo7vaf27bfQ758QZ +odvubLUs/Fbfuk3tP9SsA38ZPTi11f2jNN/V+u0A0b7Aupoe+5zql5te9znq +P0y/z1T/zi2W6xlqj8G2cMdVP9K03kf/n6V9OEZzaYjuw5LrpsoPyr6T2JUJ +ZWMd+qEd37SdPrxpvpNbzfdEdGer79Cx4v83yd9Oms+8qvnCc03DWOI7qtvE +4+5W6zbWOEVliGjG6u9b1b5Z7af1jVvUfkz8bm51G5pjhMP21Z4eq/qgiseO +VP0H0U9Xe1XT+gRdgg1aLdoXVVaXwjv8KTepfRPYo9XzgP+UtNnz/TT/fVUO +bvG3bgrNb5q2EdiKm8KTfvb9hlbjrCeabj+u+vc1f+PZpvUeOBJ7fVjD+HEC ++kF/L1G5v2Td/I/o535127++Wu/5Ksdha1X3Vv/HrFNjF2lud5e83i3S31s0 +W3SYz6bqWyya+1TmVWzjL9Mc/qNivYpOxf4ybn7Z+oH78WDZdwQ9jA4Gp4GP +0Kdgs1Wayx9UpurvJzvMcwed+wrxWpz1fLHs9nJ0ZdMys0z1U5KRWaH5VYfv +ya9VL276foKnLhHtxbnXYKyD1X9r2fOivx07WDXdMWq/prH3YvuCsSe1Gmc/ +JF6bavxS9T+j7z6tcqvKZy2mP0V1m/boAbCS6ns0l7kqn4Bd9c0Nqm9Rma5v +3KHyL7VnqZ6pUlK5R2WuSgXbp3ELy8EJWs/r4t+rw5iINrI5qe497NB8Vqpc +T7/q8+rey0PV3kHf7SZeI8VnqMb3UHuYfh+p31t7+vdJWvt0tfuWjSuHBm93 +09pa2jx+XewA9mCF+parTA5mwU4wDn7dw5OxtMF5H7cZo3PuyOyEyC06ADlm +zzn/ZnyiIcFWYCZ49AifzeJ/ML9+FfsW+DSvVa1rOEfw0dhgpmEVYwow0HFa ++37iM0H1Nj2N08Brz/W0TkJ38e1jMre3epgOmu+3e23sGWdL37ni3U+8DlR7 +GLirYl3HWNbRiK5bULGvgq4Ep3QEq6Dr0HP4WdiNPfGBWuzHME/uSlX8X9GZ +tql+R2e5TO13m/bz8PfARh9yB9T/UdP8j8v80W1gHviwXztmT5HDLrkDJ1ct +mzNKllPkc2bJsnCHypfU/mW7/6Y9M7KJjsAvg4ZzB7thk7BH+Fj4INjAOyLX +s+Hfbl2Nzn68sP5BD30sgVqs/jc0/30qvpOc40vRtxPLxg3sPXK1tsU8HuLO +aswCjV3XNCYD92LrmRdzBkvf1xp7XDKWmNLTNnS3inUUvgD4BUwDhhlcMaYG +d6/J/iG364K72cOF7ZbpPSuW0b0jbwMr9iHA+3tXrOvQe+jcLt2re/c3tTdw +1mr/pc16A/2xW851vPTwQx2e54Md1qXIGHNFd30W/YUfAx/mP0d0F6q9vGl9 +3aW36x7zaWgWtXov2IdLtf/f1houw29QOVK8husc7uhu/IFPMz9YDkxXk5z0 +qno/j8mdOVY8d6xYr3DGr/X0HaB/nGjHVm13/iT+P2H/a8ZvFyQmwB3hzmPT +Dw8eOL9u/Mt3wcALOaPI6/M9/V3uKfKOTw4+/1ZhHFeuG9fRBh+i/+DPne5d +NT9sN32r8l1s2JLchf4V2yLm9ueqdTd3AxzbN+Ppm6dyc8k+I3EbsPtw/XZG +i+UX7AnN8LL7zkz/P8Tjw6r3H7uB3Vqce3dPeA5BX0X+egZ3cNewt9hmbHoT +LKTSv2zbc1/u78+xZfFhB7GOyOKSNn+De91ZdZtvPax5zmj3/cav3b7FsSDw +F74JuukBbIbG3J96mMqXy/bZxqi9Z8n4ZnjV2AnfAhrGMWZI1XdnpX47SPym +qX2fyja5dyfr7LYWzduS2RFV08O/f9U88b2JnewX7ARG3qrqb36msYeo70vC +2yOrHs9Y7v2kyCr8hqYffluFJ3vD/C/NvQZrc4fxf2bFZwYLgAnAB4uDP9jr +0WW3wSEDkPGqsQSysCzygL0k5sXdAJfxG99k3JfCB/+X+B4+MvXytLnj8CQO +iG3gHP5aMv6ADvkoqpZR5LMrLpI4IXYFW9iFYaqeP23kC/rhwTv8ho4Fc6M3 +PhCfozI35liv+s6DB84rLMPvqf5Q+z9f5dSWYOHoZ+7H6mBj7ukLKqeAXar+ +m/bjmvfr0RvQrslY7DU+EDZ7TsN2cS7+vr6zSGWfFsvwlDavl7jFRxp7Tdkx +Enx5sCdxKc6OM+xWtl8LFh2kuhXZUd83C/N7s/B+FNkT7gW/Y//g/XH4Y4P+ +qLJri+f+Wua/i+jX9rRfw57TZj8XV43bwGwLg+GYy5PSTaeLx7uFYwt3Rt4m +Yj9URpQ9R2jAh/id7OEhFevU17K3xOReBd9mbsyLOTDHl7KfL6ZNP2NfTJs5 +vpJ5UsMHvbVvm88IvfpqaOBPDHZU2bG5oYkNcEaf9vQeITPEkvABsHXjouPQ +b3PF8xqV1RXHAsHz0OHP4Vvu1OKYI7YcO46veUP8zQd7WD+jv8G6j0UPLmw1 +/6EV7+urOWf0Nz7PRl9hRXwE/LaV8YNGtdsG7VWxHUQPL0x8ixgIvB7p8HxG +6oxOKjtO0a9sPo+H13p9942e9tnwy0/M/Ojjt6Wxg+tzXvgD3JWtsTNVyxA0 +kyOzyOeIimPx6N6X4rd/UXPYOTG40aoXl7036E1s/ynhCb914fmfhfXbW1rH +qjbLMnbtG03HQb7ZtA+KLkWuZmn+P2ox7iSeRoxqROzOiuw5cUH4c3f7b6QV +zS+I3+m3K6ODD45u31K8B0f/47sS62TOxNjGBQ9sUvV967JBTcciiEkMaBpb +4z+BHcZFP8+v2v/HXmOj8O3xuQcLZ27Zy/vQkbuMfkC/ETvC1wNrnB8f4aLU +4DViNGDu7xaObUxOfAPbyNw2BP/vFbxfC0+wKbqBOaMf+nZ6PmtqvhPcjbty +Lpw3stCtaZk+T+cyuuI7BYZGN78W+8J5c+5fFe3XCuvGZ0W/lehvLPuurQ/P +pcHf8OjytXs6r8ScPonuYg7EtD5JmxgzMT1iRuj7T3N/OU9kABmkb0Poz1Q5 +Q2Vq2bEQYozEl4g1UV8S3d6takw2KfYCm0t8d5OcL3v/ZnzJfyaWuzpx1oWJ +GRL36IqJqF3o7A/U+Ku1B78s7HfdXlhfgvewFdiiicFU+Mrdsg/IzKzI2Jd1 +Hrep7ySN7Z795xwW1p376VezrRifOPOGijEwOOWyuvNGNe6fyqMaW28aE3fF +5hKvgCcyyd5AwxhkZ5PYEvxjcBrrZ16zM7eCGKXaHYnZ42PgGw8N/gE3LWu3 +PN9UcmxrWPQk+SBiGvgUxJeRWeQD2ZwZmT+vYt/0FvW/12EM+peaY0HMoTOx +fOYEjmOOYEr8O+L3zWBLvt+RORATnZl4LHk/5k98mjMHK7THF2yED/oZW4he +JTeIXCF33GPu84Tk/Nh7sBY5qLWxCdg07Cs268qy/TDsDmsir8K6rspvjEVv +4R/eWjIGBAui53dvMz4Dm43MfoCjdlF768gNsVhyIuPjU47PPiODu1Y9l49j +77gXuxXWh7/rsP3AFqEHkEXmjn7Yp+r7My02l7VgTwdWPR/wJ/MB4zKnPlX7 +J9gU4v990sbf6MJVJf/eJz7IOx3G0i/XjBPBi7cGa7N+fFJ0MLr4tmDU/vku +Zz42506+EV+S8dAMDOZk3KCMHRQ+yCQ2nr/xafHP+mU+Y8Lz0uA65jwic++X +NvkcctecNzKxLLabvdk1+4OtJcZEfOmKNsvT68GTC6JnukfngCefaHceE/3F +b/SDzbCZyB4YjL4FoSfPPD4YkVxB9/QTU+K75EaRX77LnV3dYfxyc82/rw/N +5nXnPF5tOMaDTKMr+RY8sZXk8vCXZZ666lruCDGnE5IfRJ/3zvleVnbMgBgC +tJOCvYfWbIcGSv/s12b7je2mRs6QMfISyDw+DuczKmdHDAZ9T1zm3rJlnngs +sVpo9k69deix4fuG5/btxmRgNfwXfBfOF//yoswVGTwkdh/fA7+kK2dU9nq4 +t+A8eIBfyP8Qw+Gucj+YP5iT2CUxzMu1r39sOkb0UtP+yNNl+yTDI8MjYw+x +i+Al4nvDE+PjHnIfjyw5vwkNNg5MxHh8xqGhh4Z6WNrIJW30CbaI7/w19hHb +CObZssVYHXzOGohFoXO2C4b/V/AGMY7B8cexk9uVPJcRmTPn8km7z+b3HcaO +uxeOWzF2QDAeuObvot+i0zp4VM3vBLiv3NPvF76zb4jH7DbHGLHXnDVxn2kl +txfl7LkTjeRzF4UOGmJLxIgYs3mn5/bzmscsjJ4Exy0I/ZBetpfYSmI64OpK +pzEQWOiLag/otDy9qr5nOuyffLX4t18En52atitLmr63+CrELednbsgqsV98 +afaaWNNOiTfhT49JjINYB3G3PUv//nvP3Cn6kdV38zf3C301IDTIMnFkcCF1 +/8R/0GdjoifhwVjo3+ywbj2msC2dFXs6KHLPd4iFcg/GlCxP2CnsF3HFK9N/ +WejhuWXs2Ubaq0IzMPeN+ffN3JAl6n5pv501gGlPzlsG3q9siFyC/5HN7SK3 +xGPZx1LWfVHkc4fsLfK8U/aaNveSuGrf0F4cemKuHyYOsDS/0/9iYoDoNHy1 +cblzR9XsZ28ojB8Zw904PfNlbsRx0Cc/Ec0XOo31P99peVkUmSF2hC7ZJroO +u7Qkd5c7zF0GB28afH599AL9YE9i5lNKtkU3pJ/zmlz2OTxa9x3bumFstVnw +FbGIV3o5HsHbovXJWxygvnt6Wc9dH57oiuvJoYr2hsLvtvCdNtq/6/LdZzTu +bJWftPvMJ+fc0ddd8fSS+65OPz4rewru+B+NW9vLcehXOozBDinsW7BGfPYe +DcfDeS82vt0xBWzHvHbH0dCHc9ods8Nfeyf4BN2CPcFnBkc9V3PMhNgJ/sf6 +xEGwYZsHj20fnwz91qkzO43Yjehf1hx/prKg3fsIxkevkue8KflT+m7MWDDb +bm3W9fto3OpePvONdNA8WLes79Dwfl+f/QSj0Ubng1k2xiCJY8wre28o5Njw +neamPbXkOAw5OXQ48cuhGQ+2vLNsv3h62twLYnvIE7K0JN8hzkm+BYxOH1gQ +LAlWB59fnDwofjNYE7xLrGVt4i33ZJ5Tg+HBdOj/7+ddyJNNY8yHwvuOzKnr +nlb8N3mWlcGe2ILZZc91SubM3xvj9eRy8COpZ4UG/3Rm2iPTDy3xWXDCjwvn +J8hTrG3499mh37inc4Kx52Ytd2YfmSfvQA5NrGHHzJn+K8rWtehD/F7839MK +v+Hh/JBn8pDk/Wdkn+aEP/Xdaf+oML65oGZ+8EU3D9xoJ8qOvd6a2PsziSsS +G++KjbQZl0xJXndGyfEx+rk7xBempJ+8BLlwcghg1H1Dc1/6OQtyEde2GQ+s +SEwM3+qa5E7pJx7FnUZngT2vSC61j9ZyNXNr2Ge6Ou/nGHttYmvkpS/IG1By +0vB4sOZ3h+TXm+q7P3NiPvPSJiY2In4S/gIYbefgtIMK6xP0CnTkHYgFIQdL +wgfdvTQ6H3uxQ+wy95b7i05gH9kTMN4eFefb0Nvwgw+yR+74irx5ezi5ZDDz +FWmzDxTyy+B0xt2fOdzV8H5Mb9g+YCfALPeFhu/Ac2ny08QfkQ1w77U5C/Z/ +St5ogPluiH4eHNmZFPkZHjuGjWCfhiQWx13EN+eOY2fBiOiK6+MnD4l9o/+W +6POrYmuINS1JTJu1Ppx5zo9Mzcq6l+YNFrZ2Q3Dh0tCzVyOCdZkz7xnPDA7g +nSJ5nX8lvwdeRzds0e6YODEKGPCWBdzWledvc56dnMPMYGDiG8Q2OG8wJljz +4pLjrvMiS104Le8E0OXYTfQw8R/kHH9qbOHvPqJ5ndBw/KCpvgdqfmNxXMO4 +gnUS3+Td0ZjMgzu3JPcUHdCSebK3g7PnZ5ftM5CfYR7QoCs2JC5H/OHO6MwR +0Vuzog+/WrHdxD6Qbyc+i4/6Xt15hffr9u/w7cCq3Afiwqx9XvJ34BveSu+T +99ID8lb5CN3BfxaO6XyqenTDb7/61mwn+kR+1nd4f5bVjIuJtTwWHbkw/gUx +EN4TnBOZYv2shVwusXLitm/X/e72nbrfC/Ju8CsNY0LO/JboroX/7y7jq6Ab +eS9GjI83Y5w18VXsCLFWcP/KyB/92CbkcUivf/cNDj1v78iDfq7TOStyXVuG +dnDoH2w6x7a2aTu/Z2w9/gx+zfcK50PBzeAfMPWWaT8l2nG9nP++OPNHF32a +fe7d6XGMH5RxQzIWjM1vYPX7o4sWRbbZW9bFWu5N+4zIfJc9bfM7ZuSfHEe/ +FuvzNfFl8Gle7nAu556adQnYr+udbYfplxKL63Tudb3mOyc8+Q5vtcnr9++w +DgVfcQfnBR8gn7tW/FYBXQdOQN+CFah3Txsct3twFDkK8hfI67K8E+O92OCc +J+sihjEnc0A3YrewL7w3IV9FfpT35cTpzi2cc0PWyBX8K/KEvsLuzY9codOm +R0eBCaBF5zciW+whsZHp0f/IZmv05IR8c+O7amreXbB/c2P7pudNKLnDo4OR +wEqTorvBEuj4ubG5x4eWGPJ3G/5/gyMb3vs5sa3k5PgdP3FtzTqTeBsyUgpe +4g3Fs+1+U8KdWhW9RP1c2sO1R2+qvW3NuuuZ4Alih68nn4L/cGzePh1YM6YF +2yKD50b28DcWBIe/lzzs+bzrrzum9kjd7zHQSfjOvClYlfdwT2c+9B0V/fio ++m/R+CN4/1937G2XxDnbOr2uaqfPl/l3vcFvM3aZnDU8HezEmydiB33I3av9 +J/VvVfj3Z7IP+A2LMv9x5FvajXVHR1eTaz64cKzriJrfdKLfD8/b6lHxP8EP +xCCmlexr0oef/tO81efN/tmFcyM/rjmWSP6OuB12eFT+V4X8CnmWrzWd28GH +Ya8fSI1e5V0PPhkxed7CElP/unheUDi/eqLaE9QeKpona46Xb9ruuDffJHeo +re2Kx4Kt8Averzln8W6H57FHsBBxeeLzv9aAf+i7u7Q7Jsl+ce6M/2toiOUz +BhzF2wkw/pm5v8tzRsj5bZrb0Ro7LW8riPGBe+bVfL/QTzN5f8Ub6brXfV7k +jZwb/cT6PosdJhY1JTmaIbGn3dodD0fXHJyx17Xb72PfvlGY5uuF9RL80Wd7 +Zn/Zk654ZvA2ckFuG9kY3nC++NS69wyfh/j65xMTWFnzPhXZK94tgW/W6Vun +1CwDyAKx2M5237UDCrfn1Bz35t0V63uqw777EzW/B+deoPtuqlnHEAPGviPb +5LNW1u3DPKb6V7Ff2LHFuXtgInTJvOQ4yLWOj9/9dN2Y5pm67+XTuSPcq+XB +SPgtnNWwhmPRy3Om2PCpeTd5bmQbGeN/D7gnkzucHxicd1P4wcRAwWAn1Cy3 +yO9Vhe9hR93+9EHBeM9Fb7CG0YVlcWdsaeIhxEV4t0hsh7wMsVxkjHgu7xSg +5yzAoQcGi/LWgfjOuMIyu0fu76GF78uSmrEdeJE5vJL3CLxP4J0AMejDEsvB +PyKO0zvxB/Ij2ALyVezP0PxP0/HieSy4Qe3f1JyLA+9iW16pOSZJbHJNu2M6 +6CdsKTYV/3E8ukj9h/P/TyqPqP2a6qMK50/4fyD8Wvzbbql3jS0mzsNY7P0P +CsfUyUM+XPNcsf/gkLHBJIzh28Q5/7twHJh48H2F7xFxFP4n7+G80SJf/0Ty +Heg+Ys1vBWPTxpchNjkk8Rzo2BPeFoBtwbj46cQbsDucYxemzxvsjbzI1R5Z +eN/+t+b3PuzDhqx1l+wV8aEn866C2NSivC28O+uChnedi+Lbjs4cwDDdOj22 +pdN4iP3ZP29Cp8UmQjs6cyYXCa4DYxMPI67It/AlwMxgZ959sU/Ykt/WvO43 +CmNZYsW8yyIO/eV22zsw/rfa/Q6Dd4PE3i/M3eKOke+ZH32L3LJO5AXdjM+H +Hwlu75ezIVcAngPXXVuzDbku+hDfcGIw/NOxfdjiUwvnx/jfmuHRc8g/PtD8 +7Pk7hdtvF17fjKwRW4J+/KBmOz4utpXYCXk4+BKbRt54V8ZbcHTIYU3r1svy +1h6/lv3cMr7a+ZGlUckDss6u93IV+whnah47ci9qfi9Em7mTR8XHZm9uj8xi +E4l3zU3Mi/9rJb54dGGsif0iPvDzwmdxSWH/bGL8GrDZ7OBS9MzzeRN1SuFz +fLHmHNwZ4dMVu2t3Lgz5Rwbwj4lpIUvEqPg/mHmJf3JX5uS+/B+Oa4JU + "]], PolygonBox[CompressedData[" +1:eJwtmHeUVPUVx9+y7C4w+2bevMFDBJRdSihLU5SIqICeIwqKSkdpIr0aWlA0 +ASSxAJ4YDRHFCIjUUJUWBRSQKh2R5tJBQQwQCxCM+XzPN3/cM/f+bn2/cssU +9hjSenCJIAiaZAVBSX4PRkEwNy8IxuYEwc5kEHwJPRt6WG4QHAmDYB/0w9le +OwA+gbU24APhL0wFwSHWOsNfwNoR8M3pINhQKgjKw98Af1wcBM/Cfwb4N7pb +gHeQnQrsQP4rZOYQy83IF4PfnEEvEQRvE9tN4Icj217E2tPoboWeAj0P6APd +AchCvwD9ppHXxGuI/O/wfY5vmsm3DQN6wJsOdEJ2FvS38NoBy6CnAMfx3xV+ +jSzHuBN7m4Aa2fa5DXwD8Eae90x7txX5v4MH+UFQSLxXoFdALwfOwH+B/ejL +fvTC5mro48BQ7H0A/yT4icj45TJB0A3dL4AZ0NOAXfD2A7PyfAY6i1/hozV4 +Q6AceDPWysGvQvzdiX8a+q/xbRtYuwDvI/w3gH6XGFaDf5w2rj3QXhxA5/Vc +60i3DHR2lm3eq9hY+yu8R9jPCexnP2A0n1u7dBD0F418bfT3ww+Jpwk6N6A7 +nrXN8IagXwd8NDY2s9e9oCvAr85aD/h9iOdB4imG3xt+E2xeYy+6Yq82dA/o +d4mnKv6eAm+hePCfxEYxvsqgfxx8A/vxa+iW8CPoFHAndAugELwy0BK8AJv/ +QbYtl78Q3cXEMEix4L8+uoPxMQP79fE3BPy7yHs5HZ0CnT06Y5Bdhv4kbC1F +540cx1Aa3kDoUcRbzDfdjX5r6POB34TexllsrES2PPZWw5uP/4rgA4hhQcpv +Tm/vPWT26n7gYzL2hwBt4fVEpkau91B7mcbHImIdzFpH6N8Cn+L/NP6awvtH +yraHA8vAr2BzB7qz8fllyjrSfZO1zfDG6o5AT+P7xuJ7eOxvqYP8MPCDwKPg +11g7BH4XcKSUv3kAttpCJ3Q+xNQO/DmgNvJnkXkevAs+DvEt07HfOfI36lvT +wGH0ByJTBwOdgar4b8Da19yHAeg8BL4k5Vi0B0vB/wA0z/UZ6ix/D2wp4bUx +4KuwNwJbw/H3M9+2G3/T8/zG9dbbABWRHYX9dfibDVzWWyDeNchPQb8T+tfx ++T30w9CF4F/h4210++OjCvbqYWMA+Ez4TyFfF39XkD+DvXex94zeJHgOMuPx +XQ9+Lvhs4CX2qw/6c8BnIXMJ2c66Y+A9sTGipN9IX/A8ZNbAyybfVOW9RbF9 +6w7E4PP1JvF/gRhvRP+/0G8jfy/0Ht031q5AjwP2gM8FfgB/FtgEXoDMdfB+ +QFPww+i/jr3x6C/Ef7PYZ6k7NjT0m9Xb1R6vhFcXOIbsNNbqgc9TfuH8lhJf +BrpDyt+uN9QR/Bjn8XKe3/TRyHdUd/UWfLTG323QB5E9g84cfM1Kea9ksxL2 +DrM2Fd1voOtAf4rOpmzfmaLYOVW5VWegs7gd+hfwgUAr1aPId185Xrm+C/YL +sV8Z6Ap+JzZ+RP8g8ezE9j3IlM1zjlOuqx3b9xL46+BfBdqU9hm0xt+Y2Hsx +CvsX8bc9cu7Tm/gc/BbWLuY6Zyl3rU377ilnK3ePY+027toI5LdjbzTnviPf +91H38gr2H2ZvroFXzPiO664Ph14B75XQPN0Z3Z1B0BM4u76szYP/WNK4Ylbs +9VO+q8q59cB/UH6Gtw+ZasiORf8n8A+J9xTxL4/t63liqof/V5POjeewEcM/ +xvr9wFX2aBlyx1Ku1ar5R8E/wd5NrJfFx0l8nUu7ttRmbS+8l/R94Bu1f/B2 +Jd2r6A7rLj+Rcu/wC3egPfLfAfckfGaNlUsy3jPt1ZvQl0KfhXqSsdA1sJnD +fucBRdjrk3Lvoj3qDd4pci7UHXwcfH3SuUJvVG9Vd0J3QzlrP7ZHY7MR+FbO +bDn8NNAGugnfdAnZ6fB7JFwTVRuVI5QrtDYDXuWkz3Yd9t+CrkUM92NrIjJF +4ItS7r1UM1Q7tCfam1bov4L8y7Fx1STVpi1J1169cb31V5W/4W9BJ5F2z6De +4S3ZhD8xdq3XG9Jbek01LOE3vR76FPR14lnP2jXw38SOTT3WHeAb8Fkt22fa +TfyUa5fucEPdLa0l3DOqd7w7cu5XjXwM3a7Kr/Arwz+Nv3Ks3QivPGsd4ZXg +PEfqLUCXBC8FXITeDV0G/Enkb+XsakL3Qf5xoELCOXsdvOyMdesBB6G7pfzW +1UOWVv3gruwF/gZ/JPAE+gUJ1wjVCsWk2LTWGd7n6hfBq3O+X8PbHtp3Lehv +0gbhtVjbAe9s7Fy8VUWSWK5DF2W55/0ZfJByaMLfoG9JZPz22qNzHLpfaN1t +QBa8vWnXet25U/BKZ7wX6kHVi+rO6e61ZS1OWke684H+8BtH7pVUw1TLLiTd +Gx9QfU367e7K917oDaunVm/9PXhv9BcCGegcfBSnfed197X2KLLH0T0KfAi9 +HOjEWsWEc7Zyt2YAzQLqodVLN9A8gH5JZFoi+1Dk3k01U7VzVei7EOHvBP5a +xJa9zh4cgf4jvoqB+0rY59TQtXqy3giyqyL3juoRVoKfhH8HcifQ34P+GmIq +yvbas8ifCL33HYBfoKuic469+Qi6CvhO+E3Ab0V+aOw7pbtVl/jOp10TVBvK +srYI3qHQsuqZdqX9DfoW3dF/wmvFN6Zy3RM8GLoHUi+kHKxcXBO6S8I9rXrb +rKS/TWvvKN6U37JmGs02r8c+e8WoWG/WHYbXhzO+C7wwdK8RstZM/WPs3lc5 +52nwNuzlPCAny3lJPbZ6bdWs6pF7SPWSmiEOgm/DRiPoxegUcdfGJd3raQba +GruHVi+tGAoj13jVeu1pTXTzlWPyPHNo9lCOUq7SWph2zIr9feA8tjfi8wV0 +J8H/BHs/hZ49tLYJXqPYd1Ux7UD/Eeg44RqhWtEmdm3NA5ZAD4hde5YA55XL ++Y5H862/kj1Ym/Qsqzuiu3IUmZkJ5yjlqvvyrSPZFcDi0LaVE1vHfiN6K4ph +Qei7+qd810bdWc2Mmh01I1yFvx8fL+Z4BvwCXq/YuUYzSk/w0+pxcpyTlZt1 +hjrLOaz9S7lfPXIJ36nnUj7L5vmOLef/M6lmU/Vga8A/Dj2bqMdfB10p7Vnp +qnI69hIp45oRNSsqRyhXqGdsrHqUtG/10OqlN4eeVdWDVsr4jHRWRXpD8NZD +V8j2TP0Z+JOxZz3NmN1j9wTqDZQz1iJfOe3aqBmuEPsVkp7d1bOpd9MMp1nu +Ac3cafew6mU18/wU+T8E/ZegmvZn7H8LLE24p1Fvcznpt609uwR+Ff66hM+4 +GHwyMnMTXhNPtUK9j3og1Ywocu/zAXs2MekcoFygnH4A3S5AQZZtlGU/Tsau +pYrhAngS/c9yfeY6+91J9+r6z0X/vYyMnYvaAcdC97DqZVXTJ8WemTU7q+f4 +S+yZSbOTeqgXY/8Hov9CVINHxc6Zyp3q8d9P+s7r7us/iD3EEkb+FsWUAu8Q +e7bTN7RXv5Lxfx/6T6Ig4x5fvX5PfSPn0Tfls9Z/BPqv4Bz8hQnXzN7gGyPP +FroDa4gtxkYxvOaaTzV/pD1rZrP2gPohYswt5Z5NvVu70L2f1mpC90777DUz +aXZST6feTjPZe4o94/8q1DOrd74h49ysGtw99IyhWUMz6u0pf4O+RTNxDrGW +h/9jnmcAzQJ9Y9d2fZO+7Wjos9GbHBG7pqi26D+Ne6CrZTy7qWdR76IarFqs +nqdL7P989N+PZtR9oWc4zXLyeRO2vo69N+qBvgF/MPbeqGaqdm5MepbTfwb6 +7+B05F5d/znpv6f/AV2Mvg0= + "]]}]}, + {RGBColor[0.679358375, 0.69013275, 0.6785905624999999], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmnmUVdWVxu+roqTqvXrTLZeCAZk1iAPIPEQF1DYUAoogoMwmoqiAMoiA +JPknEY2tdq+oqFmJptVGBgU1Wa2ACMqMUmg7ZlAwKkRmO5io9Pdjf7XMWu+u +s9+5Z9hnn332/vY+t82kaVfeUpEkyfuVSaJfUq8/g/T0zCTJI02S5FE9V4g+ +XBM0dTP87v/U/i9VSfKw6Pmq+1j0YtELRO/QGP8peozob4tBzy4kyfMq79Yz +S/W3lZPktKZJcklJ70SPqU6SmSpv0rt71WaVxr9f5X16LlFdMRs078aq7enq +21JPRv0fVN3tGr9bZdATM8HvY+Z/kNrXVwefDXquEN1P5VCVw/Scp343lYO+ +SePsVPmMxl6k/ldWR3vGbFkVPIwXXZuN/vSlHKLnWsavjv6N62SMbCbmH2we +Ljc/9N2Sib69Vc7NxViMc3lF8E37Bar/tCrkUSM+a9RvZT5JKpCd6q8TvUpP +repr9f5VreGw5Ddcdd8X3UT9XkuTZJzGm6P2N2dir+iLzDaoTUfV/VXlcNU9 +cFKS7NP8Z+p/pdqdUY59/mVV7O1v8vH+3WLwAT93afzjxWjzofrNVfsHRZ+r +d2dovGl6Ouj5m959ob6/Vb8DoieIz/6iv1W7h9W+c2XweLr5RN7InX1vURU0 +8t+t/flYz2b176U+j6q+q8qvauIdshilcU9S27J4W1kMHp4rxtzw8LLWtU88 +XKox+uVj/chhvOhb1ecxjfmG6I8qg/6d2rXXGLP0dM/E2maLrztEN9OcieQ7 +WnSmOuiLRT8tfp5rGufmSE2cJf7/sDLOAzrye+3vJ1Xx/3rNN1x1W7S3h9R2 +qdquyUSJTna1TkGPEH1cZfOmwQNniTN1scq/6xkuNi7SeL8WL4/p2aN+7+jZ +zRlJgp+VTWPNe9S+i2TyU7V/S88l4u9N1b2rtu81iX2a77P9lOj9ajMT3Zec ++tYmyZN6Vqt+gf730Xrmq2ynui562ur5leZ5sGmsDX5P8JmJOt6xT5tKUbJv +e8wn837dJPiAblYT9C1JPKxnmtvs9vq2qH9P8bajFOerRdM4Uz9S/WUqryvG +fjU3D4VsnPMu6rNMvHfIhe34ohR6jr5fJnqc2k7Jh9053WPO89mYL935t1LU +X6ryznKcsTtVn8vGWeaMoy/HvV/oCLrCGWtfDl4m5+MM/My29M9VcZawpQey +cab4X1sMuzhL/W4Ufa50sm8pZPC1ZdV4ZrClOzJBc3bqNccK1XXJBw/NLIdG +PX5S1X1K0Ya273pMZDvO8nw6ibO51/aQ+Q80iT4Nkt81uXi3UO/2qXwjiff7 +3YbzTf3NHq+l5cnZQn/GV8Z72rXSHpzt9bJu9pX93Szezpc+HNDzOL5G/b7J +xTtsG74A+9Y+F/YBO7FK6z1YE2fqTNVPVn1f1R9V3Zd6Oop+sSb+V2fCxhwT +vSWJfofc94nqqMfObMtF35mZ2DPmXJeE78EmXZCJ+S+ujP/dzfOVqh+p+qv1 +zE+CHqFngejLXT+4KvSbevQd+3xVVZxt3o10+y/NMzyMcD1jotfDrdvYDNaA +3WDP0LM+Kk/T+Wyu51AuzkI+Gz6PudD/qzTOvFyMhR/8UPQwvetRFfbjiG0a +Ngr5MA/2clBl2Exk2k/PVZYHcpgu+vNy1G9HD+uSZAl+TnZjRmXYH9qcr/kv +FX2W6DfKQfdRm1vKsa7phfAbnBfWw5585X1pUhd7U6Fye0XYXOzt37W+eZXB +H/aps23UDaqfomeZ14PtxibiTxgTXRhTGfrCWjao7Wt6rjbewLZjS+kLDU4a +Kt5esC5Rd8RtWmi+7+lZpf8/1Bz1GrOH6pdXx7wzfKbghXMDb8trwj42d78f +iG5fG3b281zM86LnwocPt54MqLLeiB5o/aEuTWPMUhp2BxtwaznqmJf5OxXD +N51VDP8EDbbpr/lmgh+wG2nQawphfy6uCv9ytfVwsOccaH4mmqdJKq/Vuq7J +Rh/e17vNmZpvNzpfiHMMje6BocCd+KJJxbDn2PUnC+Gn1hcCT2D/2uQDM31q +3LY+ExiEPm2z4cvx4+CNfxhz7MwGv3djA4tR37sYGIa+7NGCcvAwRXP9pBzY +9+ZC6CA0NgDMi+3GbtcbA9H3qUL4toMq78vGOV/k8z7EZxa5XW56sNbwssqu +KucUYlwwdRU+1ecQfcSOoeP4e+TXWuWQfOCj7vnAN+Cc01WuLoRN/b7GuV57 +dyuyVf0w0RNEv6j34yqDflB95noPwNpv6Jmh+nH4xMro29Hnlfp2lYE7wZ/X +pGEjOAPPJmEHWSOxwzDX835SPnDN3oJtm/WzUSfQl5WF0I0vVP42F/3WJCED +9J6xVpcD67xUjnMMrmhVFfh0/0mBT3ar3HNSyAJfRD3+iPKAac5bz6p4j/2j +D2dnouYZpHH/JLqTbMoZmnureL9RvH9P7YqZ2Df2lTUOrggcD166MBP17PUD +Ku/Pfld3v9ujX+goerJU/ZbpOUX0ZrBRJsbZaLqk5xn1W2L70zob/6GXmH5V +9AqN8aye00Qvq465mRf5Izvk9pB06Zva0Cl4oQ325/nq8Jf4u7zW+YTen6pn +pP6/kgnbPqEydIW54G2w13uJ2n1lu/Tf5hNdAgchE7AQNhSd7a/ys3Lo8TbN +syETcSg4pHUp9mu/yvs0XkHvP9OYj9cGT/CD7mPbGWu8eeFcv5mJtb+icW7L +BB/wAEZ/PRPjv2a66PZDKsJ3b/J6WAvneWhF+Eravua+tB3q9tjtp3LhLx5N +A/88orJNXeARMGmn2sAow4xVjpvGFx3Lhp2Ymwl/gA5s8Fx5lxs876iKmPsU +6wL6QczeR/rZW89lere8IvZ+B+cwEzgYmY9xe9aF/2Mu9vFZt0dWPPRfq3Jr +NuR2EXsk/u/S80fxPUrlX2vjnJTM20Pwlgkd/i/RqWX4sOjtHhN+Dqvfv+v5 +NBc8oTOp9Za9Y49O8X7Ay1C13YR+qn1XyXS/2o2WPHuIPiT6WtE73Z69AA9Q +jz0mlsPffiz9eVz996l+m9rMLIRvOKcYfqXBfRmDsTgvP3YsNieNuP5INuxU +g9usM67engmMvSkb/gPf0crYgL3bpXJzNuQD1mUvwM/02+a+DW6DfUDuz3gv +Vpp+TuXTudCxu9yeuZgT2a/3+My5wfMWPD5jPGT+HvYebdVzcibarnf7sa5n +73qlsd6eaayVNZMzIf5A/sQxjI2NauRxqXlmHaz5mOi3TDM/5VvWJc53vc/4 +etfThvPdrDbOOOUltiEflgJfvl+KOKXeeaqeHgsdzDWJWB3bNNYl+GSsxjii +Z5f2cJfGyqBPuZjzbfMzQedmYS5sO3Jt8F4QM+3wHrFf0H0sV/6fYju5V+2f +MCbf6b6bPc4mn6Gtts/Y3y2WzwbzgAzOS2Occ1WuTyMuJAezzLJd6TG3ePwN +HhP+W+j96RWxp2C0+bnAacTw+Oa3JddJ6CJtM4F5OU/EC8v0rkpt/lQOW9o5 +F/Z0Whr0LSov0vNP/EI+bD40dv+CNGTdoL7vGhPsE/2/+cDqYPb3XF8pWzg5 +jfh6Ev30TNP8N+r9J+LnF3o+0Lvb0zhn4IJaPctrw49jb0bb5vwjjfOwJw0/ +09560s7077Wff9D/Abmwh3nV7c1F/VGV3XMRMxLnww+x4Q1qM6U2bAS2FIyL +/qA7L1h/8Pkvin6rOuwC9oGcTVe17+azyTxDLd9ZadT/2X4LHsHou/IRB+0l +flebTqq/IY196WL+vxYffXMhb/wF/uMbx7hniR6QjZL6YfYR4BDOMmccfcAG +7MnHXu0qR12Liu9sAzS6TdnSNDnYltYlYnCwIvH7T9EDzX0Im1obczMvcWNH +0/AE3SEb6+/stbSsjZiHGG+FyqW1ga8Y7w/eox35iAeJC2l7jmMkYmfkg7w+ +Fw9LRX+Wht6gP5m6yDuCjclP0edsPafVRMk4tHs9F/Ofr3F61sTczNvWMSBn +oZn1iL0CH31qfEnM+0fjbeLHgbnw2406x552cSzGeu9OIwYlL/vzNDA8WJ4Y +va3nIo4j9oafw7mgkSVrb2mez7HcoJf4HbEfD+tsXhNtzrasfpkG5gf7t3Nc +C29pIWzjIcn2vjQw3XSfe2JsfC65P/DL39LQqbNqv8unUILtkX2F+Se/A84h +dwu+YhzidHICxMCMxbq+tsxZG2smboX/5l47OP1Un/H24jPRuDeJh1Z10XcT ++do0fN9u1peLM8z5/UEa2Okm4hrRt6v+ZXxXLuZGJykPmd6bRgw/ReVnVZHv +wwZ0yUUelhgXvV1q20is8YHjDWJQ8iATLTtk+EEp7M1X3vd9zl9MTaPfh+57 +diH804VpnA34QQ7s+WHLhzHyHqeD5fBlOfzvaGN4MOMRr4V92GY+yf9AY2eJ +O5EDeULOBrpzQz7Gw/+xR5M8Jj6d+LjB+Tr84mbLFow5yrgXXzfKmJMxNnkc +bD1zYuPJa21y3+Pep4+xPY6bxtreYmvJjfWtidhstbHhdmOfbjWhT4y/2f4T +bDDVGAV8AsZanASeWWHZgC2ZhziNdmChVva56C+2CR0e5/dg/hGy41c5P7bE +fpr2a4xZwYrk+h6vjhwg2O0a47d8OXJDOZW9XA+ORe7cDYC1yWuC+cibElcT +U89LA2eN8lrG1wRPxCXYL/qBz8nFUgdG6uH22O2+jnWInxZprH7qe7AcMSw2 +FXluLUVufWMpYriV1ZH3G5iJ+K0xL8cY5It61UR9bSbyaAuMc7o5TwlWIS9F +nMO5JpYnP3c0CbuDrcUWkY8lzqQP9xTMyf3XI76LI87dJp4Wi7ftpcBu4NcT +8axjDrDus9YF9uElx/VrVQ4wj7Tp77FpO9CyASMttZ6CRXs558rcbawPxOvE +HBu9X+gLPu9k6/h2r51xnjHuWmuemBeZ9bfcwAS/8r0GsdRcy5Y7MHzSfN8D +dLNM4XOueSUXghzJ82DbsYnYAWLw+xyn/yUfWGV2GriPOrBfzrp3r+rn5OJO +AUyOHqAPv1B94ruF0cYCo7xGcl/IYk4mch7oDeewh/M0yBy/cdT5xC62i2BC +cPcd1skJaeTWJ6axzwO8H2+WI7Z8Px86NdB7dr/zCujARuvn5lLEBRdZxwY7 +n835vicJ+k6f63rnXoY4P8Y4U333wR3I+44R5qYhV3QT2aKXzZwv7Wgfiw2e +mg9f3o8cWD7wVn9id9EHRXfHV+Tj3qVbGjp0gfnfUQ4M2DsN/Zrud+2zMQ+5 +enLoxE34i9toh61WOT0Nmc5Q+U4+Ytu0Ls7MhZZD67rAfG3r4g4Fe42tvi6N +e4sfpRGLjLeuktOcY3uyz/cu3K38rjrsF1ikpbEfOrDVtvRk23ni3lNsw3r7 +XBB3bHM999WDfGeNv9jru/lT68IfNauLWGSD7Sf8Emdgl9eVg497xPMZpdC5 +bDlyDm+6zf9Yj19K455pYhL3HtOToMkVv2LbBSZ/z3eC5BnJdbV27uD6Qvi/ +RPO84JwwuWHyyPjvStWfVwzf31nl1ELcu69JI59LXrdDMXhqYZ+y2LkMfA12 +Hf0n7hzqPAzy5w4f38Ad1gjf2aC7B7W/F2r8n6SBF+udc1lve45dP5KPOOVn +aehPu2zo7p3/IgNyNmM8L/mzwc6hzfOe4X/IZ8+xLrA+fC33EvhNbB7+jvzV +aNMf5cOX5+pCL7bZLhFDvOY2c81jwevHTuOLufu91NhxgO8W2CPutbr7Pm6T ++aVPQz7w97dp5PN2+xsD7osO+s6Ie4B653zf9X0j5wjep1q3x5qGt4mWDTJC +t7HhxC/YWs7cuiQwziTr2OW+i8B+IuMRzrHzTQFxPvelxMrtfJ7bleN+tgMx +WiG+27ixHLbqNp/T7baX+IdJNfGtBXyscA4OHwR2OOGTk4gt1xhXEG+Dv5fn +Q46MCQ6f6e9hbi+HDt1jezi3HN++3KHyVvFztegZoo+XI3+xIQ29usyyAoM3 +frOzy2eSOG59OXIW96v9ujS+L3k1DQwJlgMX4Oew2fg+csT4umftA7HxvCfX +CG6Yrf9r1f8OjfNKGndHYHny6OQFyA/sJsYvB04YpzYflSJO+KQUeYpF/hZi +j+P6T9LQQ/Y+b9t2o9fFnu60PXylEPc36wqhNwN8X8D9BPcROzX+e8W4D3un +GHEdPo2YbprPGDLm7oo7rLWFuAvhXuPmNL6t4S55obHHbPsy9pHYYI1xyCz7 +PrAkmBLbO6cc+sA3OAv9jvqr3QbMyV3rVf4eibqRbkM5zjQxANid2KiH87vw +8W05cpjkMucV4juEeb4jpT34GT9GPpQYbXo5xp2htqVs6Bh36tB8XzXaOBG8 +SC6LM8m3TORi8HVgHXAOuaUGf+PE+wa3afzPXhJnEm+WC2G3P/JdMPJgHs4I +8kY3TuTosnEX+Jjnf948YBtWGbui42DlE3kxn03O6OvcX9ZgpGNNjM88fEvA +fQB3Afh28ij8xz+DB7At4JR5tsmcxZm2afgSciacx75p1PPNC/mYf3qshlLE +esR8u63P6DVxzaKaiPnxvdDYAOae4PsJ1sF6wDPcB7Ju7k7BOONdj60Dm+Kj +O6XhQ/GlZ9qH4ksfSCOuJL5cUPA3Jz5z1CN7bCnrPWwbNdl2inznZM/FPJOM +gyebpr6N71+4hyHnQayNvPoWw1ZzL0fbiW6Pfq703hEHEC9gf5BBX8uBez1s +/UCX7DvfY9X7PzR1Y00jG/7T76htN3Ybf9fWOJbv8fjOZojjOc5V4/kqmObb +ulq34aE9PpSSerANccZY6+EgtznPOQruFLl/536c+3jsHP66gzHfANPwSO6k +o3N07Cf7SoyHbxngNvgf1nKL19TedAfTtGEO5sWeUt5gHsDvrB3dJqassq7y +ncIxf6vwmGV94k6+MnT1RMxWEzYem04cxjlBluwVe0YOEywKDR79sXMme32+ +SrYV5OrGOIbkfLLv2EjyNMs9DvqP3nIW1pRD17kDR8bImv3dYh+Jf4T3Jxxr +LzJNX+wT82KvsM397KfAoEXXn/DZlSG3K6wD2FW+W0EHqAODcxdf7/gcPAdG +4V5jtuP2OZYv/oaz2tpybu34EfraNHwZPo121OddtnEbZARv4IpWxqhgY/xS +T+MMbNl4x/5gauw0mJ5z1NO2nnHuNa4AjxFPYUtp29ntwX9g1MX2zwPsoxf/ +SyyFjDmDq+27yXFje4mPTrN9YE7m5vyynz3s38GwPV2/0ZgOPIgO9Tc2eNv4 +H3xEHgU8A82c/ZzrYSwwAz50pGl4eMc++lgp8j3wzPhdnVMAT4Iv+L6Ce71V +zjdw7pBRb/NJ7r3KeX5yJLPMXz/bH3QJrN3HsgXDLzBWhH/uhLiLAWPzjQl5 +GL4TbOZv9nr5jrWbccBAYyRkNdtyJwcGBm7Msy1sxF3ZyHWgJ9xBbXYeDTmR +ZwFPogfYCfAt9/DLbD/B+GB98k58k8r3Vf+Rhl0ZZNtCfoB8GeMwfzfzgPyQ +I+fxYefI59sHNve+dzNu59wfsMwbbcD57otdXWjcRU6iq/fl/wFt4M4I + "]], PolygonBox[CompressedData[" +1:eJwtlmdsl1UUxi+0hdL/vk1ETRSQJaIMC6ItigMRFSORuBiKgEopUFqhUIYg +fFCcoMaJJm5jQKMRNcpGlLKUoaLgoiVFpBTBROOg/p48fjh5z3nPuPfs22lc +5Q1TW4cQdgL5wB2ZELq1CaEkEcI9EUiHMBf8YEEIPeHVp0IYkxfCdOjZ8LdB +l0GPBO6CPoZ8A4bGYqsZfCD//igK4Rr4X+ZCGAV9HN7p7UIYDX4IWI79AmAY +eBMyJfD6Q/+E7Rz/2rQK4W3+RfAj8K/GVh/4ldB7udOvOPA4d/4WvBydSuTP +SIbQoziEU4DjyJ4A2oM3on8h+l2hx6M/H7oGX57jzvO47wRsDEW/K/buBN8C +vxbeLORXI78qGv8RnbuRrwTmQNdDd0c+wRm7Ew5mV3jbuc9AzquWPLr3pn3W +AegF2P4u5di8AF0Nf0ravNnYWAs9BxgLfRsyDcguhm4HPpB4PAjeizMb4c9D +fj30YPx+GWgPPNU2hE3YW8Z5PfDpU/A6bAxAvwqdL7IhnJNxbj9EfxG8g/x7 +D72+xLQB/BXsJPnfocA2K7nzjYUh3AxUY29cdCxXAFOR+xHol3AOlcta5Rd7 +JZw/S7FD5+l8x7w19uci8wj4s/ybA68fMs1Fjrlifxx7l2GvFHvN0P1VY/BP +4sNW6OehR8HfBXRGf2J0LSrmO9B9Ijq2P0PHtHOq3FYC74GHrHP5JOfNhP9u +xjz1gHphEfpXJFzDFdg7ANRBtyIWncn1zqxjeSX298D7DbgU/gDue5T7dQVa +EavB+N8FvIEzni2wD6OQfRsoyHOOh3PWv9i9T7lTT/CdEl07Q5HZi+xc6FJ4 +M7jfBxnHQLFQDJbBy6XtawJ/Hle9AWXw/uG8avT3IH97nm3Mg3c9MD3Pd1gB +P6/YZ22Dn1/sM3TWc+RwG75+jsz58P+B3wF+X+h31OvIdIe/OWWeek691wzd +Ouke/yU6ZoqdeuRneD8ALeAngY7wHoP3G7CS+DUmHIvjSeOKySfYmMm3Bv/q +8OU0dH5POCct8PKy7kXVWG3aNanaPMS/3vhyNfwz8OU28jEUvAT+Ku7/Kjnq +if5XKeeyCtgFv5l/HyWc0/vAs9GzqBf+VmBvFXdooldeRH81eL3qu8A1PFL5 +Sru2f1KPwp8EXIdsb+xvSrlmVbvqYfWyelC92BeYptrjDqdx3xagG7Ll6F9b +aBuToB8gNjcD+5HfJzvovMX3M/WEeh36BHfZhfx2dCuifRsM7IZ/DvE7N+mZ +OQbe5OjZNQT+1/DXQNdiazT8buqdjH0Zhr1yzp+CzRsKPQM1Cx+Ink2K6f2y +h40/i9xD6iXdQXfRTtFuqYC+vtBnVEDXRM9+5VS5beLftQWO8RHw3TnPwr+x +eSmyM6Cv5G4jsVGT88zX7FcMAviG6Nm4FJ9Owq/Cxk2FnmGaZWvT3mWaMZo1 +8km+KcaK9Wj1dJF7Vr17arF3iWpWtXsyOtbqCfVGVcp3U8+p97ZhY2G+bVwA +fTjtWaicXAi9hfyOgH6a/G4F36n85jlmF8NfAAzC1iu404juZdG9rB5WL/+Z +9e4bAf8P8EHRva8dfQn4enRman/gz2zwW4nNO8BRZAbwvxT8lqTxZv41gj+T +9OwZzr+AjfHkc75mjmIV/TbQHXXXmrRnp2Z4C7WxMukdpN2zmzOromtZO1u7 +eyH05Qn3lHprPDpd2njnjgPvk3Gvamdpd3VM2TfVQBm8ddG7UTFVbMuy7kXN +oFLws5HpQK2ciXwP8ANZ7z7ttHrw87E3XrsaGxPUy0nHQL5rxx3k35vwFmOv +Z8oxU+xUM9M4bx821rTyTtsP/qn2M/HJQ38jeKeU3z7fQq9E9+Ho2ZLE/4dU +K/D7go/g31TsPcq/emzVofMIeDnQU7Ncd0F/cdI5US6+T9gn+faXcpexjGS7 +wBuL7kUZ85TzdfBaF3uWawZrFtdlXWt6U20GP5N/Qzi7gRh2gp6I3ELgJXR+ +pc7Oy7h31GPnZhwTxUY7fgbnbQLy810jn4HfEX0XvbH01jqc86yRT5PU/1nv +EuVcua/n3xsJx/yv6Deg3oKbucM3nDU1+q2nnCl3R6LfJtJpin4T6G2gmjqR +co2qVpWTFnhb+dcNeg/x3qHZEf321MzT7JOvB5OenfJ5Y9q50xt1Q9qz9VDS +sdeMLY2ejdqZZeB3RteS3sCHsH9R9Fnq6btS3lHaVUeJZQm8W1PGtSO0K9bm +vDv0Zl4DPivnWaaYzgQ/mnVu9MZtAp/NvzGF3mHaZZoJmg2Hsdk7eqdotwxH +ZnLOO0O7QzvzY/hFOe9qvSHbaR7m/JZTTao2p6Vdm5rpmu2T07alGa1Zrd28 +RDFJeEcvBy8DVgfPlMHc6fS23lnaXR/AG5P0LFBcqnN+C0nmHvAhqsG29qk2 +5x2jXaN/V6m3o317H/5G8XPuNb2puoMnc+4t9VAKfGm0rHp0CfhZxX5b6M3b +CXwRdylPurZf5v/r4K8BW8P/PuT8dtPMPUY8/gP1S881 + "]]}]}, + {RGBColor[0.7494840049999999, 0.7540049699999999, 0.7346438074999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFV0tsVGUUvtPemc60mTtzL48WqzFGAU3UjbSgK7HQ2q1JDUpVBHzwbMFA +obQUUp4xRAVBYusOBDbGRKzQWl6lvDoI6sqkLIiEhWzUwlLx+/w+wuLPf+bc +85//PL//zBOL215bXRYEQUMqCMqx30wHwf4wCDZj3c0GwT2sdRBoyAXBPKyX +IXQVvFbQo6Dfyon+p1w7f3+Cs6WczvPsXJ7D+hB3TGSlizT1kabMtTLJfw8b +LmK/gtUBPbWw5xGsXtB1lUEwgNUZ6vsY1gbQMXgJ1pSUePwWg55kPv15vEK/ +SZNH+kAof+banterguCV3EMe6Wr7Th5lcqArsc4Fspd+0qcq8yeXS75kv8jj +t0O4a0uo8zw7v1L0spRsu2d7jhdwN3T8nA+CJvAasSbwvSMKghMZHCwiDqCP +gP4LsiviIOjBuZWRfGMsmLt6/B6GTAbyqVDxP47jG8EfAr8c/H9j5etcojvG +Q/nL/JawqmHbtLR0MraXwLvs2JJfg9UdKk+MAeNzI5Qe1sabecn+Hil3X2HN +wmqF7Hmc3RcqxnMd34V53XkL8jvxbQfWYynZQpuokzHkb8ZtCfat4UPeNdtM +nS1V8oU1ybOsT36/bhnyfjKfOviNel5CTG/BtmcK+n7V8vsT5TME/9WictZc +VK3Sf/q+B3tZqHgzt9RHO9+BzKZQdct+Yt2w3pmTlM+yZyoct29zijVjV3KP +ML7UTT7PjCJWB2Hn8ljyrHna0mI9ze6vBVWK7WzHnvn6IhG/BnHegn0EevaG +qknWHmu4z712EvwLuOtLyKzBXdXYp6bl8x3sAc4Pgm5MRO/M61ydz9Y9uLdM +d5OeBNvqLUM+93rLt8Gm7dhXxaqXOvf7urTim2aMs/qdAf0H7vsGubhRVDwb +Kl3nsfqhEfxFWeWgMSXbSVPnu1l9I7/Funm2EzYcBH0W+1isOqhj/iPFKQA9 +Cj0Ls6rhKdiPoaeOZqR7kfPN3s89wISi8jcP+9lEdfc8amk5dHaxTnDPMtPT +we/KKGeMWTfoOZXiHc6oL2pC2bDP+R5xPJh3npvj2H4EvQtgz9pYsZ9tPv3b +FarP+hP5SF8vuY5YY0Oh8kJ55pg1S3xOu8YZqxWR8Ic4RGy45Do9naivVuH7 +vEr1OPtxfay4rYtlb9o2E4c2V6kPlmbV203g360QDhKfxuD7x1WyazDRPTMi +vQ9L3L/PIna38fu5gnLNOqbN72Wlt8m4sdTYQT8uGrtYz/STdViKhRVncM+V +WO/KLNC/JrLhl0RvCHHggN8j9mFsnCRNvUcTxe3TvGqatd0Omy8wPtAzmsiW +920P65fxYqzYR32u/37jJ2liJ8/udT/1u6dmFPR+n4LOy87HUKJa7PfZtZHy +3harh1gb7CvW7GLXbXcsuov4EMu2zZFySNvYZ+O2lXbyjWoydpAmjhD35vv9 +Ip/5azSfPcFv7IuJWDh1AHY+Fau3p8fCyAnPAwPI+w8Z9ekR9wDrn/vXWNch +82dB9KxI/XHY/MlZnalx3Pa63kYSYd957GdwZjf4L0LHb7Ew+hj48xPR5DF/ +zOPGot5Dvn98ZztivWcbYtUq/WRMJvwu0P4ez1PMUXtad/FdYz+zvwcC9XCL +eypjvGNvcO45avu5HzNNnTdtQ1NRNPP/QaSZ6EfYfiKvGJ8u6j3ju/Z0wdiQ +UV8PGcdZ881+1zrhy6mCZO5Ax/2C4r8+Ev4POBdlkB8EvQH8kxnR7C/ObCdN +b4qEs12x5g7yt4WaHRhDzhXDxk7ORZxxqJ8+/F2Qv7MjYSUx88lIb/tdx5l1 +yJizrtgr7PlOx4qxo876RL1c8pvS7zeJ2EEMITb3GlNrU7Kv13Sr51m+y+zd +bebPhK5y6JwRq/ZpD+ucujc518OJ51HIPMq6os2R3u0ey9BXxpT+EreI6byP ++u5ZJ7Gdd2U8p5SMdcS9LfaR7/N223bFc3GH35X/3xf3xU7LvJAIH4gTrEV+ +Y7/stgx5rK1u28nY7PDZ7kh42hPL1y7LEFOILWs8e/JdfFCz7EPquO45baux +v8X9yLpg3Wwzf4+xeWZBfrV5JtxlG0qeB5l3vhu3Hbcbfg/ZR6zfMdf5uL+R +vzpWvDjXcNbkfNea14w+7Dpkn7PfPwO/N9K39oLeDsa9yTPMkN8Lxmqa52HO +iJwVd+Q1AxxyjlbGyj1nN/pBG+jL/Vi4xPmCd1D+7aL6lv37XUFYO277+zwr +EVu4D5pmPCizzDVc6/9NxOwG43av64b2cK+1L6kq4cCQ80k7mdMKx426WRsH +XR/sM9Zto+fbqaYpv885ZQ1We1bkf67Y/7+63f/EvcT/e4gD7bH0c/6aGun/ +2OeJMPOWcXNXXrY2JbqHmN7s+Zm9w/uJEcSKvkT/Pfgmv+E5kZjLe+d4Fupy +jdBv1gnjzvi3FZSTEevvsM+M839NrN7z + "]], PolygonBox[CompressedData[" +1:eJwllElsjWEUhk9vr6t13f/e/0+rEhIRQy1YiLaGFaKttYQUlZiJoa1SHVRp +TBWxMJQGS1M3NsTQarWKRJpQ7AQhEQsWxi61ntdZnOSc733P+c53hm/qxuoV +VTEzW4PEkebAbGOO2XrkQGi2B7k0xqwNsBZsIXY+WE/CrER22uwk2Gc4i9Br +ODsWd58quA8jswbsQfmgt4BvRd+MtIBf5uxvttkL7Cvo28EPxD2Hg+D7se9x +111khPi7sA+BdxB/F3gfPkNwWzl7JP+U2fA4syljzZZnzIojj12QZbYWbBb+ +T/Ct5Kwe/wVIHnon8X8RvwB8GN8/yCSwTfjUwY/BmY7dRMwuFSppVhY5R9yV +2Pn4TsNOgGfDL0T/TsxrxL6BFIMXIgPEOwx/AP/x4E+xvyCz0WeG7iuOuLXY +FTmeg3K5DSePei1B7qBXpvxtqkEJ8bLJr5u7jpJDFf5NodeiHbsRfUfotWvG +3gF+Bv+XMX+T3tYQem3OYe9DfxJ5rmexR7GPqx7wh+GUgi3DJwZ2GilFf83Z +KfiD5JCHfUGcXPdpR3+KtCa9B+qFwbmf8BnZhv2WO7rjHuMN3MfIulyfkX70 +zsjvVs431XvyWQxWAf9i5DOiWVHMeuJlEf9BwmvSGHhOyu0g0gv3VcprqZ5P +5u5vKceakR7wsozX7hP5lqP/THsvNTOanQ/EHOIZ1zn7AfYOuyzLZ3YUuyhw +TDOgWfiITzLXe3ifuzYj5fC7wGMZ3wntxhbNP757At+9DqQm9J3Ubm7Qfgbe +Y/VaO1dI/IbAY+nNevtq4ofEfw5/HvU5j6xKes1UO4u8t+rJM/TeyN+qHdtJ +rPmB74Z2Xrs/I+2zox3VrjaHnoverLfPBf+Gfxbx2og/I/Td0U5oN+qQtTk+ +85r93YHvrv6Ew2DVnF2Ne41UK82UZks7sBe7P/Ba6M/pQy+P/C7NzP/Zifyt +msmuyHuoXt6iv1+1/2n/q2qQHvz3IS1Jn7ER/OekfRd1JuwXZ0tzvWYTsBMZ +//uU4xH9RaH3Sj1UL/UH6C+Qj3y1Q9olvXk/+vuM53KX0hfBL4r8b1SP1mBP +DHyWtTO/4Z9I+V+jmqq2/wCGusDs + "]]}]}, + {RGBColor[0.799195625, 0.80307423, 0.7779198425], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJw1lUloVEEQhjuTTJYJb2bew3E/mLMJKEyMCYEYl3jSATFuRzEaHcdE3MBD +IgguCO5bLh70oB70ogdRFNSrW/QmuBw1HtQEolFE6+MvD033667+66+/qvo1 +bR5YsysVQrhuo9rGxziEYm0IA7kQrtWEMNvGVFUIX+17lq2L2RDa60PYa+NW +jeZ9Nm7bekldCHtsHRnQyySESoNh2ry+MYQH6RDGqmXLnZnmdL+Nz7b3y/Dn +Z4SPr3l23mVYB+x8qfFpsu8em8sNuvPUeF5xvA+2flwvHM4mYu3PNJ7L/S4Y +p2P5HIpCWBwrtu852X52nB2Gf7RR+OMeP7YF47bTzprte9y+P5l9AR1i6dNm +67V10oNYwIMTmCW/SyyDpusTYq/VwAbOYFz12M/F0uhULD7bG6Tts0Tz8ax0 +uub2nPc3yHfZ/L4yvJ9VyhF7rOGPpnDYXSv+cENj9melNDf5mlx11yiOFbHi +7jK/LRnlmPz2GJ91tj6Yl123x868oF7rPzb3ms1QStj4AIv6OlEnDeBPnGiO +LTpylzO0+V0lvF7fH4sU50PLz6Tt/7AxXK3zde4LDM6IHc22uz7swQkbeGN/ +JtJd9rmXqZZ23N1ksXfYekOsXD3xnPZ7XuCMbYfX8/SstKVG0Bp9yVGrxdJW +p1gKbjMnVgzE8sU4DEfSvpBTLXB/yjWcdG70Tbv7Ig/gc4fYOIczmtEn+IrN +b2e9Yup0nqyxJwb0pDbLHsscr+0ZWflCO2wP2/cjw6rNC7/f7envnb5enRHv +345Z8X6Zlld+Xifq8cs2RlOqb+r8jM1vEuXxbSwMsP73C/WK5n1p3aX20POq +v03fTK9TdvY+K78Fv0utsYYDPV1xnq8ivR3nzefcWPijtjfi3OB4KZENtvci +1Svv4rZG1SI1jk7YwK2SFj+4dXiO0Jk4Ss6HvkXPs4bzKCdN0Kbf3zRyQX81 +Z5TXSa9rcnoyLTx6uy+v3G91Xctugx/8lT2frMnF3Zx0vJMTDjUBFprxjpAL +dCv5XTQYcZ2L/k6Bk0rUp88T9cFjf8cW5tRPRyNxH3ENSzn5WhWJd8Z5cnfQ +c/rDa5v73G1xv4e8F5bF6gfW7E1kVfsbY71H5PZFIs7oTyylSPm4n9U79jej +fFEvrR4Lb8+gx4Z+W9LieCwSF2Jq9XeW/x51CdeV5uuC/88u2rwiEf4Ru7co +q3ps9/8PvnkX6fui+wVvvtd/MZLfd3nFzj79PuI1gA78SyteV/Qf/Gf7f7bF +64T/GZqgzY1ENXoz0VmzY/4D6PADLw== + "]], PolygonBox[CompressedData[" +1:eJwlkbkvRGEUxW/GmzcPeWPeK2zRaEWhGCYRBWGoRCKxFgoxJMQWUWhMIWFC +woy102hoNBRCwj9gCSqFXmgshZLfzS1ucpdzznfud2tHZ3tnIiJSRzjEmi+y +TKM/JtIZihQR08X0S0XW4yIVxFuRyLwrUhOIjCREUmAbqefKRGaJpGs9nVWC +fwd/GBU5QKvgm3YfscS8HY0q3qv1RDrI98EMlBrnh7oJfAbuNNFD3sX81zOP +Oeo76kn8nWL+lvyD3hTcLHGNl6fQcuU8k3cG9lY9+HRgHtRLA708XAfOVdQ8 +7IG/Yb4Rs50umCfZpwruFphPsDnqBbitYDJg+6lbqAPwPWWmqdoT6B2j1+3b +bBP+K9iT0GZtaL7gZ5Bo9kxDtfTP9e91xwjY+9C8600eyFfR+ysxz+pdb6C3 +uCZW4qap2opJg7+M21+qZ/V+phzXdtRdd0O7ld64nPmjb7dWzDnYL+LIsT9o +ZD6esN31hlmwQ7xXGbEdhskLxKJnvTx5Ck61YxrfaL3CH4vazd7huwnzrpgm +sNuB3VY1dsj/ATkaViM= + "]]}]}, + {RGBColor[0.8904356666666666, 0.8937706666666665, 0.8579414999999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFUTtLw2AUPU0fBkpjv4wOEXVKQ1YHO4nVoRAKDkUdFR1109G1Ovn4FyLo +7OwgWBXdBdf+C+/hXHEI3835bs4rS/sn28cRgFV76vbkDeDFhh+bs5rmZ5sL +wxci4aMO8Mlv7Jw2gQe/O42BtRbw6O/k4v6kDcx877AL3Ns5SYCh8S/WtHNn +92PXJn7gdyuxNEq7uw3Amb3fBPH96ZCLnE+J9MlF7SiV5qXh63PAa1N734ky +Veb/Ksj3tZ3TVF7fUn1PHvqhFnWpx+/J0/OZJ7sg1m+pJ/rueXb6pn/6JFY0 +/rsdevZxouw7QbmJfxm+GZR/KwirHKcP5syd+6KtnPSaOedoXpzkpq/lWF6Y +qR/rbi9o3g3yVXqfg6D9DTs/UvG/p+qROvVUHnLfJzbzjOyh8F4qz5J5H+yF +XdEn9fkPzjv6N0dd+Sy9o18kIE8b + "]], PolygonBox[CompressedData[" +1:eJwlj71OAnEQxCfnnV5ixPtf8AGUmhfgCqKCnSGhIGhJAiV02KElV+HHWxgT +rK3pPCU+hjUvwG+zxSQzu7M7u+ejWX8aSaqDGHzVpA/IH7x3Iv3k0vJYWlOL +4L+gRFeJ1MZbgv/EPRW91yA9pF6z3gr9GXvtDf4C5qnXrLfD8463dSgtyLsF +G7IH9Hun0g2eBv4m+iq4x7y24xn9hC7Q3+w4wz/JpMsj/2Gc+YzNXuDvwK+D +c5ux2WHwrILaPfwg91/tx23uP9qvdkOX/l1wr91st1umZVvmI/v2XYgqbA== + + "]]}]}}, {{}, {}, + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3382, 3407, 3770, 3720, 4197, 4198, 3455, 3861, 3456, + 4419, 4420, 4418, 4422, 4421, 3647, 4814, 4815, 4611, 3722, 4610, + 4813, 4812, 3721, 4498, 4499, 4495, 4497, 4496, 3454, 3827, 4441, + 4442, 4440, 3670, 3919, 3405, 3805}]}, + "0.885`"], + Annotation[#, 0.885, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3380, 4317, 3562, 4029, 3563, 4030, 4116, 4818, 4819, + 4570, 4679, 3464, 3889, 3463, 4678, 4218, 3473, 4217, 3472, 4776, + 4777, 4569, 4677, 3462, 3844, 4757, 4758, 4595, 3608, 4759, 3536, + 4756, 3606, 4594, 3605, 4379, 3607, 4380, 3537, 4020, 4019, 4287, + 3512, 4576, 3951, 4190, 3952, 3715, 4102, 3638, 4409, 3639, 4082, + 4408, 4081, 3637, 4079, 3636, 4080, 3806}]}, + "0.8260000000000001`"], + Annotation[#, 0.8260000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVz8kyQ0EYhuEOW/MdqBBUYWOoYmve2hlWqJJERiJzcB9ciXlKqgyXYMd1 +4DmLt97+vv67T5/hvfxmLhZCqCHZG8L6QAgbqA/qsGq9hkR/CPdDIRz1QZ/h +DLedSXNaTnGKR80muSU3ucENbvIX/9kv8y9XOLj/kG/df4d3c7O87e5v/RbP +yG/6G75GQr/k3DJWcGLvGPtmR3gUcYwhEdn8i3Ov+JNPo+9ad9DGuFzRV1FC +OZpBjzdOYgql6M26Z/NPmNbFdZfWV/iwN8c73vCj3+V5+VP/yA/I6i/kMz7j +Fp/zgdku/1GVY1zjbs7xmO/kOWuuwDnumC9G/yznucgFrvMTHrHg3CImMI47 +3T9m3T/P + "]]}, + "0.767`"], + Annotation[#, 0.767, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3381, 3406, 4749, 4750, 4363, 4365, 4364, 3507, 4747, + 4748, 4545, 4651, 3379, 3404, 4743, 4744, 4592, 4746, 4745, 3506, + 4361, 4362, 4134, 4135, 3377, 3403, 4154, 4155, 3946, 3947, 4624, + 4626, 4625, 3416, 4296, 4297, 4295, 4299, 4298, 3431, 4727, 3430, + 4665, 4558, 3531, 4907}], LineBox[CompressedData[" +1:eJwV0klvjlEYh/FT7MTQSgwbWsNCKyo2RIt2LyEsUdoqOmirRcxR/QKGL8CG +FQkJG7SJEkM6t3QgpZPSvm/flgixwO8srlz3/T/3eZ7zDFklNXur00IICUwt +DCF/QQgrkbU4hExMI4lbsv5FIQygD79lv1Agz0Se7KH9SSRwW/Y0PYRneIJm +NOGutRmkUBjvg0fqO2jBc+yT7c8I4QDG7Sni7CUhHOQKa2nqcl7PARPybv1f +fsWrZK95KS/DcgzFc/JqZOGtvt3533AHF3EX93Inv+NunnLNSvToJ52lQl0e +z+Wch7kYE/JSLkG1uVzvYhNemnmBLzgkH3G9UQxjHGNokCfsS2IUfzAWr48c +a6f5Eyfd4zOf0a9w/n88ol+jHub5vM59fppby1XW38dn029T52Fav5vv8ZD8 +Pu/RPzZ/Id5X3yMvUJ9UX+Y6LuRe+SW+GOc9W6uzt6FUXYIyc0ei43+AByhG +vflT6LJ/O1eZa4zvlPO5Uz6orlN38E3OcJ5ZeTrf0G/gnbwjfmf5qLnz6iZ5 +M77rU/IffFWeQgNm9dPyGb4Sv5PZXN6IFvl1voZa6x88y0cM4pzsbPye8Zvb +s1W9BW321OtzPFc2Gq3XxneFhLWa+P2xOb4LLsNXeav+qHoSx9Gu/yZv42Px +H+IT3M9T8gGe63vOwxyk4ny8FnahT58h/w/1HpoI + "]]}, + "0.7080000000000001`"], + Annotation[#, 0.7080000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV0Msug1EUhuFl5hDnGNG//TtyjBnTcgdKiVPbuAC9B1eBmcPECHMJQRwG +rkAolRgaGUho4ungzbu+tfdee2enW7XidltElDHdHZEZjEjwOxDRxB+q+kN6 +C+pT9XV/xKR6Cs89Eat8qf+hf8UV+ZY/5Rsuymdcl895Uf7Ck7M78kxvxCwu +5CW5wXe4xwke8YCatQPnDvFj1jEfYcLaqDzOY1yyr928ZV7nNbziBU3U8YYN +FPoiVuzrUFdQxiaGzXrnEjd4hKs8Z/88OtVdSPQTd2Y423qD96Sck3Occp6z +vG8tz9/ynnq39Yf+9R8XzzOm + "]], LineBox[CompressedData[" +1:eJwV0rlP1EEUwPEhEQ+SXY41XtEYBQtsNFELE69SQEjYqCwojVHAQv0DNCJY +KR6NsVFLL1C0UUGFCAISCw/wwuVQY7DGRrcw8TPFN9/33sx7M7/ZXXPoRPp4 +XghhDOPJEPaWhLAP34tDqOP9aEyEsDgVwqz4qjjH05jBUnmGe/mHnqfcIB/k +n/IBrpZf4yn5da6R5znrBpdzZVEIVdiD/MIQ5mOX+hJ5nTiDN/Ir+i9ysfol +LuEOLuILnOBCJPFJ/jEaH/AFnzHp/HHO8jLnbxNvR6182DlpHnXOkLgezWjC +MfVO+2vNzVlPc5d8Oa+Sr+Ad5uzEqP1/7H/FI3ih9kzeIj6KhLdM4q/+lXze +2gL1MvE6LEQBFsU91mb15/gX9/EAP+dBnuIJc74i6x67uQKbzKviSkyq33S/ +rLhbPKKvX99LHsYQJvDWnnfxuzCG9+iwr9usB+jCfdzDo/hWZpVbL9NbigL7 +f2MO59RP2nMK1ahBhdp63BbfwS2sdqdOTvFdzjdnHtrMbjMnI65HA9Za3xx7 +1bdwKRrVD+IA2tVfm9Ou9yz64nfGt8I3zKA1vok7TIu3ohc9uKx22rwzaMVD +bFQ7Yk4TDqMFzTF3Tk/8z+Of/Amn/FaPeQP/B0dRegc= + "]]}, + "0.649`"], + Annotation[#, 0.649, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV0T1Mk1EUh/HbBB0AbUsnWYBFHZUZGJwgcRHZYHJR0eDgR2HBARltBDVG +QOiHgEpNdDKRhQ2riyZWChOw2YKzMUH93eHJ0/O/95z3vG+7rtwaHEuEEB7h +6EQIP1MhNFDHE/UkP+X7/Jcf8HOe4jme5nAyhBdpNd9W38FddCdDGOcs7mHe ++aJ7D/VVYw+a2mT8nRf4B+f5GC9xlWu8xUU+ziWucYGL5pWwhALy2JYv8wpe +4hVW4295md/iNdbwBjvyil0/ow+96EHOno/jd8D5+D64IDuNhvMD1NFpl198 +ig85ZV67ue94g9/HWm+Z0xnP511397CPs+aV+bL8j/tD/FX9DRl9M+qJ+C2R +Rb/6d9yXn7k/y1fdu4br6Ig7YUTexf/4pvwGRjGgXjX7kt519QfP/8i5+N/g +i7N+WZJb5RfNaOFmDOv9JK8ggU2c8U7n8B/Hklhc + "]], + LineBox[{4646, 4133, 4360, 4359, 3495, 4257, 3496, 4258, 4645, + 4260, 3497, 4259, 3498, 4261, 4647, 4263, 3499, 4262, 3500, 4264, + 4648, 4649, 4266, 4267, 4265, 4269, 4268, 3372, 4271, 4272, 4270, + 4274, 4273, 3373, 4276, 4277, 4275, 4279, 4278, 3374, 3809, 4358, + 3592, 4357, 3593, 3769, 4908}]}, + "0.5900000000000001`"], + Annotation[#, 0.5900000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3367, 4245, 4246, 4147, 4345, 3395, 4346, 4247, 4248, + 4148, 4347, 3396, 4348, 4249, 4250, 4149, 4349, 3397, 4350, 4251, + 4252, 4150, 4351, 3398, 4352, 4253, 4254, 4151, 4353, 3399, 4354, + 4255, 4256, 4152, 4355, 4356, 3591, 4407, 3635, 4181, 4182, 4183, + 3838, 4084, 3645, 4083, 3646, 4910}], LineBox[CompressedData[" +1:eJwNzTsvg2EYBuBHJJo4tFQi/SKt1OQw1eSwVpwGItGkFtReExNDJTWwaSWa +GCxGLGLwSyz2dq3R4hqu3M/pzVusne3XByKiQnc84pIr5phneSxiiob6mgUW +WTFLuM1E3FFmnVWzae7VLTbZYs0sT1tdzEY8yG0K6h05LEcYZcbdrD8e0xFP +ExEdWXCT59W+qv8zP5Rv+g/Zs1uSdZnzNuFd/+UuLXMyIxO5IXflHufuL2j6 +c1Aem51wxCk1unZDkxEp+v775dv8Rjbp2Ve8PeCFT/2z+Q8lb/4BrIwooQ== + + "]]}, + "0.531`"], + Annotation[#, 0.531, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV0LkuxGEUhvGjURkGsY0obImSBJegskVwAS7AXIBGQiwJxhIzZuzrPVgS +9CQ0bkFDZylI+P2LJ8857/m2fK1T2bHpsojIorwyolAVcZKKyPMp73B7TcRq +OuJMv8LnvMYd8nW+0Od4Exto05fs20UR+9hLzpEf8hEOknuQcsYxV3KHeV91 +RLd39HIP9/MwBtRdtRHz1jRa34R12bZZjvPcaXYvf+c7vsUVrnGJV/kN/6DC +WaP2fbs3o25GRv6l/8QHCuZp+QhPOH+Ix5P38CQP8i7nucjbXOKX5G3YQA7P +eMKbv1niZSyqF3DgTQ3uepT9qRd4h2fNClxv9iD7Vc/xFs8kf811Zi3Jf/M/ +b4dAEg== + "]]}, + "0.47200000000000003`"], + Annotation[#, 0.47200000000000003`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV0Dsvg2EYxvGbRNomqs6EklhMqM2ERBgtSEgcBikjcdgZnI0MPoDZRuuT +GFkcJlq0i8Wvwz//97re537e53kH1rfntuoiYhMd6Yjnpog2zjZH9OLPc0E3 +xu04ykQcYwrZ1og+JJBECt3W9Ju7MnPTEnHNHfIiL8tLPCQPYwQ91n/Ya0T/ +zjkuWveIB9zJBW7kTk5zF0/zLM/wrrk97KMeq/q8foU3eI1ffaehLaLCJecs +40lfrd3J8xsvmJ3HLe7lHc47Ywqn9knwCSdr/6Z2fxzKGfse8CBXvZs0W+FR +XOICv5jQ/3AO5zjDF8b1RfMNKMnfKONF/sQ/VRI0iw== + "]]}, + "0.41300000000000003`"], + Annotation[#, 0.41300000000000003`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVzztOQlEQBuAx2hlfcNVEbdwCNhQiEBMp7C4m1lxqFGywsdAKFXQJbAK3 +oIVWPuIKdA0ENfGj+PLPzJlzH9vZaXoyExEpWwsR/aWIAQe88sbsYsSdHDqv +yXc+mDMvrETsUF+OOOLczp953nnCvroon+UL6+o1PtXX7t3Qo88tDfOHXERT +PukL6keZ6UfqRFb0VUqU2ePCe3Oe2/QNGQ127f7yw4SundS8Ze+bL47dTVgl +z7y9e+8ZyzO7Hdoc6uvOJ+5UqbBhb5Oy+orL6X/yD1wdKwA= + "]]}, + "0.35400000000000004`"], + Annotation[#, 0.35400000000000004`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3468, 4089, 3658, 3965, 4206, 4207, 3828, 4369, 4370, + 4058, 4060, 4059, 4092, 4067, 4068, 3948, 4175, 3445, 3830, 3831, + 4411, 4412, 4410, 3641, 3856, 3855, 3452, 4766, 3642, 4599, 3643, + 4767, 3603, 3841, 3680, 3876, 3679, 4487, 3717, 4485, 3716, 4486, + 3796, 4086, 4087, 4085, 4428, 4427, 3650, 4424, 4426, 4425, 3857, + 3833, 3446, 4177, 4176, 4401, 4400, 3586, 4047, 4046, 3907, 3485, + 3975, 4127}]}, + "0.29500000000000004`"], + Annotation[#, 0.29500000000000004`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3763, 4399, 3629, 4173, 4174, 3444, 3829, 3853, 3854, + 3754, 4530, 4531, 4527, 4529, 4528, 3450, 4484, 3451, 4192, 4191, + 3640, 4786, 4787, 4549, 4657, 3408, 4656, 4548, 4785, 4784, 3564, + 4565, 4674, 3449, 4774, 4423, 4367, 4368, 4366, 4533, 4532, 4828, + 3443, 4628, 4119, 4395, 4394, 4398, 4397, 4396, 3962, 4598, + 4205}]}, + "0.23600000000000002`"], + Annotation[#, 0.23600000000000002`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3578, 4003, 3508, 3920, 3921, 3922, 4024, 4023, 4035, + 3572, 4034, 3816, 3817, 3678, 4604, 3677, 4783, 3840, 4676, 4675, + 4566, 3649, 4773, 3771}]}, + "0.17700000000000002`"], + Annotation[#, 0.17700000000000002`, "Tooltip"]& ], {}, {}}}], {}}, + AspectRatio->1, + Axes->True, + AxesLabel->{ + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + AxesOrigin->{0., 0.}, + DisplayFunction->Identity, + FrameLabel->{{None, None}, {None, None}}, + FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines->{None, None}, + GridLinesStyle->Directive[ + GrayLevel[0.5, 0.4]], + Method->{ + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, + PlotRange->{All, All}, + PlotRangeClipping->True, + PlotRangePadding->{{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, + Ticks->{Automatic, Automatic}]}], "}"}]], "Output", + CellChangeTimes->{{3.888048517363654*^9, 3.8880485475124197`*^9}, { + 3.888048582821979*^9, 3.888048600025955*^9}, 3.888048742085472*^9, { + 3.888057392899416*^9, 3.888057401737049*^9}, {3.888057449245781*^9, + 3.888057460532957*^9}, {3.8880604426656027`*^9, 3.888060466929647*^9}, + 3.8880605547577143`*^9, 3.888060660767536*^9, {3.8880607115399942`*^9, + 3.888060739729841*^9}}, + CellLabel-> + "Out[1054]=",ExpressionUUID->"f7cd6842-bfb4-4589-8325-4f6fe7366874"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"majorityGates", "=", + RowBox[{"Grid", "[", + RowBox[{"{", + RowBox[{"{", + RowBox[{ + RowBox[{"Grid", "[", + RowBox[{"{", + RowBox[{"{", "legend", "}"}], "}"}], "]"}], ",", + RowBox[{"Grid", "[", + RowBox[{ + RowBox[{"{", + RowBox[{ + RowBox[{ + RowBox[{ + RowBox[{"Style", "[", + RowBox[{"#", ",", "16", ",", + RowBox[{"FontFamily", "->", "\"\\""}]}], "]"}], + "&"}], "/@", + RowBox[{"{", + RowBox[{ + "\"\\"", ",", "\"\\"", ",", "\"\\"", ",", + "\"\\""}], "}"}]}], ",", "majp1", ",", + RowBox[{ + RowBox[{ + RowBox[{"Style", "[", + RowBox[{ + "\"\\"", ",", "11", ",", + RowBox[{"FontFamily", "->", "\"\\""}]}], "]"}], + "&"}], "/@", + RowBox[{"{", + RowBox[{"1", ",", "2", ",", "3", ",", "4"}], "}"}]}], ",", + "majp2", ",", + RowBox[{ + RowBox[{ + RowBox[{"Style", "[", + RowBox[{"\"\<\[PartialD]MAJORITY(x, y, z)\>\"", ",", "11", ",", + RowBox[{"FontFamily", "->", "\"\\""}]}], "]"}], + "&"}], "/@", + RowBox[{"{", + RowBox[{"1", ",", "2", ",", "3", ",", "4"}], "}"}]}]}], "}"}], + ",", + RowBox[{"Dividers", "->", + RowBox[{"{", + RowBox[{ + RowBox[{"{", + RowBox[{ + "LightGray", ",", "LightGray", ",", "LightGray", ",", "LightGray", + ",", "LightGray"}], "}"}], ",", + RowBox[{"{", + RowBox[{"False", ",", "LightGray"}], "}"}]}], "}"}]}]}], "]"}]}], + "}"}], "}"}], "]"}]}]], "Input", + CellChangeTimes->{{3.888046035331374*^9, 3.888046036242202*^9}, { + 3.8880460669428587`*^9, 3.8880461095254517`*^9}, {3.8880463640718307`*^9, + 3.888046547928076*^9}, {3.888046619766274*^9, 3.8880466490478477`*^9}, { + 3.8880466796644573`*^9, 3.88804668923892*^9}, {3.8880467279568653`*^9, + 3.888046920463436*^9}, {3.888046985742152*^9, 3.888047032661776*^9}, { + 3.888047092541583*^9, 3.888047137855057*^9}, {3.888047516597027*^9, + 3.888047561173037*^9}, {3.888047599556374*^9, 3.8880477314742126`*^9}, { + 3.888048355264422*^9, 3.888048428735816*^9}}, + CellLabel-> + "In[1055]:=",ExpressionUUID->"4bab5f58-da39-471f-9c77-42da382ab853"], + +Cell[BoxData[ + TagBox[GridBox[{ + { + TagBox[GridBox[{ + { + TemplateBox[{ + StyleBox[ + StyleBox[ + PaneBox[ + GraphicsBox[{ + RasterBox[ + SparseArray[ + Automatic, {11, 1}, 0., { + 1, {{0, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, {{1}, {1}, {1}, { + 1}, {1}, {1}, {1}, {1}, {1}, {1}}}, {0.135, 0.225, + 0.31500000000000006`, 0.40499999999999997`, 0.495, + 0.5850000000000001, 0.6750000000000002, 0.765, 0.855, + 1.}}], {{ + Rational[-15, 2], + Rational[-225, 2]}, { + Rational[15, 2], + Rational[225, 2]}}], {Antialiasing -> False, + AbsoluteThickness[0.1], + Directive[ + Opacity[0.3], + GrayLevel[0]], + LineBox[ + NCache[{{ + Rational[15, 2], + Rational[-225, 2]}, { + Rational[-15, 2], + Rational[-225, 2]}, { + Rational[-15, 2], + Rational[225, 2]}, { + Rational[15, 2], + Rational[225, 2]}, { + Rational[15, 2], + Rational[-225, 2]}}, {{ + 7.5, -112.5}, {-7.5, -112.5}, {-7.5, 112.5}, {7.5, + 112.5}, {7.5, -112.5}}]]}, { + CapForm[None], {}}, + StyleBox[{Antialiasing -> False, + StyleBox[ + LineBox[{{7.5, -112.5}, {7.5, 112.5}}], { + Directive[ + AbsoluteThickness[0.2], + Opacity[0.3], + GrayLevel[0]]}, StripOnInput -> False], + StyleBox[ + StyleBox[{{ + StyleBox[ + LineBox[{{{7.5, -92.04545454545455}, + Offset[{4., 0}, {7.5, -92.04545454545455}]}, {{ + 7.5, -71.5909090909091}, + Offset[{4., 0}, {7.5, -71.5909090909091}]}, {{ + 7.5, -51.13636363636364}, + Offset[{4., 0}, {7.5, -51.13636363636364}]}, {{ + 7.5, -30.681818181818173`}, + Offset[{4., 0}, {7.5, -30.681818181818173`}]}, {{ + 7.5, -10.227272727272734`}, + Offset[{4., 0}, {7.5, -10.227272727272734`}]}, {{7.5, + 10.22727272727272}, + Offset[{4., 0}, {7.5, 10.22727272727272}]}, {{7.5, + 30.681818181818187`}, + Offset[{4., 0}, {7.5, 30.681818181818187`}]}, {{7.5, + 51.136363636363654`}, + Offset[{4., 0}, {7.5, 51.136363636363654`}]}, {{7.5, + 71.5909090909091}, + Offset[{4., 0}, {7.5, 71.5909090909091}]}, {{7.5, + 92.04545454545453}, + Offset[{4., 0}, {7.5, 92.04545454545453}]}}], { + Directive[ + AbsoluteThickness[0.2], + GrayLevel[0.4]]}, StripOnInput -> False]}, + StyleBox[ + StyleBox[{{ + StyleBox[{ + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.09\"", ShowStringCharacters -> False], 0.09, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, -92.04545454545455}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.18\"", ShowStringCharacters -> False], 0.18, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, -71.5909090909091}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.27\"", ShowStringCharacters -> False], 0.27, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, -51.13636363636364}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.36\"", ShowStringCharacters -> False], 0.36, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, -30.681818181818173`}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.45\"", ShowStringCharacters -> False], + 0.44999999999999996`, AutoDelete -> True], + NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, -10.227272727272734`}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.54\"", ShowStringCharacters -> False], 0.54, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, 10.22727272727272}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.63\"", ShowStringCharacters -> False], 0.63, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, 30.681818181818187`}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.72\"", ShowStringCharacters -> False], 0.72, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, 51.136363636363654`}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.81\"", ShowStringCharacters -> False], 0.81, + AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, 71.5909090909091}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}], + InsetBox[ + FormBox[ + TagBox[ + InterpretationBox[ + StyleBox["\"0.90\"", ShowStringCharacters -> False], + 0.8999999999999999, AutoDelete -> True], NumberForm[#, { + DirectedInfinity[1], 2}]& ], TraditionalForm], + Offset[{7., 0.}, {7.5, 92.04545454545453}], + ImageScaled[{0, 0.5}], Automatic, {1, 0}]}, { + Directive[ + AbsoluteThickness[0.2], + GrayLevel[0.4]], { + Directive[ + Opacity[1]]}}, StripOnInput -> False]}, {}}, {{ + Directive[ + Opacity[1]]}}, StripOnInput -> False], {"GraphicsLabel"}, + StripOnInput -> False]}, {"GraphicsTicks"}, StripOnInput -> + False], {{ + Directive[ + AbsoluteThickness[0.2], + GrayLevel[0.4]]}}, StripOnInput -> False]}, { + "GraphicsAxes"}, StripOnInput -> False]}, PlotRangePadding -> + Scaled[0.02], PlotRange -> All, Frame -> True, + FrameTicks -> {{False, False}, {True, False}}, FrameStyle -> + Opacity[0], FrameTicksStyle -> Opacity[0], + ImageSize -> {Automatic, 225}, BaseStyle -> {}], Alignment -> + Left, AppearanceElements -> None, + ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> + "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { + FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> + False]}, + "BarLegend", + DisplayFunction->(#& ), + InterpretationFunction:>(RowBox[{"BarLegend", "[", + RowBox[{ + RowBox[{"{", + RowBox[{ + RowBox[{ + RowBox[{"GrayLevel", "[", "#1", "]"}], "&"}], ",", + RowBox[{"{", + RowBox[{"0", ",", "1"}], "}"}]}], "}"}], ",", "10", ",", + RowBox[{"LabelStyle", "\[Rule]", + RowBox[{"{", "}"}]}], ",", + RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}], ",", + RowBox[{"LegendMarkerSize", "\[Rule]", "225"}], ",", + RowBox[{"ScalingFunctions", "\[Rule]", + RowBox[{"{", + RowBox[{"Identity", ",", "Identity"}], "}"}]}], ",", + RowBox[{"Charting`AxisLabel", "\[Rule]", "None"}], ",", + RowBox[{"Charting`TickSide", "\[Rule]", "Right"}], ",", + RowBox[{"ColorFunctionScaling", "\[Rule]", "False"}]}], + "]"}]& )]} + }, + AutoDelete->False, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], + "Grid"], + TagBox[GridBox[{ + { + StyleBox["\<\"z=0.2\"\>", + StripOnInput->False, + FontFamily->"Helvetica", + FontSize->16], + StyleBox["\<\"z=0.4\"\>", + StripOnInput->False, + FontFamily->"Helvetica", + FontSize->16], + StyleBox["\<\"z=0.6\"\>", + StripOnInput->False, + FontFamily->"Helvetica", + FontSize->16], + StyleBox["\<\"z=0.8\"\>", + StripOnInput->False, + FontFamily->"Helvetica", + FontSize->16]}, + { + GraphicsBox[{GraphicsComplexBox[CompressedData[" +1:eJzsvQl0VUW2N45jO4DgjEOrKNqtTxHn2WM7azu0Cs7aams74fxaBWcUWm1H +bIcWRUUFIYqAiCIqEDBgwpCEzAlJbm7uvUnuzU2c2/kLVee3d+/f4by81f/1 +fc/1Xy8ra9XaVXXqVu2pdu3aVTXoshvOvGLtPn365Lbv02d1Om7wST3/M4M+ +4Z+HCwWun31dz38JlZcL7IrrqwSu8xkC//Tz6r8mgZ9037cIvMtqcFyrwO+6 +z9MCn+B+sF3gWtd+VuBrXQc7BfZ/3QTrODE+wBifLS8XGOMDjPEBxvgAY3yA +MT7AGB9gjA8wxgcY47N06iZY6cbjtOMrpPEV0vgKaXyFNL5CGl8hja+QxldI +4yuk8RXS+AppfFE+XDPdeJzlAmN8gDE+wBgfYIwPMMYHGOMDjPEBxvgAY3xW +jroJVrlaMx8WRsYF2NKvnOhXTvQrJ/qVE/3KiX7lRL9yol850a+c6BfVE2uW +q8IInXhcgDE+wBgfYIwPMMYHGOMDjPEBxvgAY3xWz3UTrHpvzXqiMMJ3TCce +F2CMDzDGBxjjA4zxAcb4AGN8gDE+q7e7gzg9vma9VxiRI+Y7phOPCzDGBxjj +A4zxAcb4AGN8gDE+Ow91B3Hz0pr1eGFEL7AcMd8xnXhcgDE+wBgfYIwPMMYH +GOOz82p3EDfPYnyst1nPsV5gOWK+YzrxuABjfIAxPsAYH2CMz9oJ3UGc3YDx +8TzEepv1HOsFliPmO6YTjwswxgcY4wOM8Vm7pzuIs4MwPp5XeR5ivc16jvUC +yxHzHdOJxwUY4wOM8Vk7rjuIs+swPrYTeF7leYj1Nus51gssR8x3TCceF2CM +z9ql3UGcnYrxsd3DdgLPqzwPsd5mPcd6geWI+Y7pxOOydnZ3EGd3Y3xrtuPY +7mE7gedVnodYb7OeY73AcsR8x3TicaF/E2PWExPD/hZRvdIIjO98/TyV6++g +PY+nufI94N5+1/6OthPXLlKUI+Vy0M393LgKqQcY9U50HaqVcsAoH+EaWiXl +gO33Cfo+IeWeH5JSDti2n6L2U1Lu+Scj5YBR/oQbUIeUA0b5zm68OSkHbPGY +J3zmI/RhvNry7ghdGM9MB8Yz04HxzHRgPDMdGM9MB8Yz04HxzHRgPDMdGM+A +rTzkI3IWRwcuZ7xbuJvq5ym/SH4X9IzrF8pZnjnfwiUR+WR5BAy6AwadbXmC +1iFJqp8iOz4jMOgCGHRgvc545/H8UvrNetjiW/kD85qFC2PzLVxO+Kgiuaon +OWkS2K4risgOLyK7tYjsvCKyi4rIjij6xfcTcuP7N47o1BXY/D59rncFyyQf +sJU//Q4w6oH+9rvugNvFd0hRD/S3cjyX+KWc9Eyp5EMuAHO+rV9I9hXmhUWB +SwaXRcbFeEG65vo8PsWvh+YTPhRv6AdS5IO+9ndWRvDL8mj7UxKpZ+FSkUv7 +u7NJvmeTvYr5uID6V0D6bX7AeODxY5xW30XpAtj2q0r647tZKfUBWz1YL/W9 +HNZJfcBWLzZJfS+XjVIfMOpb+xrzekLqA0Z9a39jnk9KfcCob+1zzPtpqQ8Y +9a39DjugTeoDRn1r35cGs9zvdUh9wKhv9U5pcLz7vU6pDziOL5mvbb2VZH9U +SX2Hlp+rpT5g1AedUd/juYHw3kB4byJ5bCZ+bCa+aSH+bSG+VD4AnVHfz886 +/wK2fKZ09ePJEB+rfQg6Wz5T/wZg1AedLZ9lie+zkXkA34Pulu/UbrGw2m3W +fpsr+oTLkQ87B/ocqbXXqyLlyIddhPpIkQ8+4XKbn5D6tr2E8A2XW39tUuoj +RT74iMuRDzsN9ZEi3/oVtdz6FzNSHynywWdcjnzYgaiPFPnWD6blyIfdiPpI +kQ8+5HJr3+Slvl1P5oUPudz6h5jPZko+8xHSOD5BGscHSOPobP3cUToijaOT +9atG6YA0Ds9I4/Bo7d28zLfWPqkQ/Fn7q1D0Nupj/gVs1y2Kf3wPPY76mI8B +23XOXIHxPfQ66mN+tr+foN9PyPfQ8/b3EgLbddRcgfE99D7qY/627aWo/yn5 +HvMA6mM+t+1l5HvA+B7zAupjfrftdcj3gPE95gnUx3xv28vJ93ZdWCjzBupj +/gcMvsL3gPE95g3UZzsa8wv4Mo4P7XywKJYv4/jQzjuLYvkyjg8Bo34cX8bx +IWArd1G+jONDwBbvUb6M40PAVm6ifBnHh4Ct3ET5Mo4PAdvxRvkyjg8B2/FG ++TKODwHb8eaJn7qIT7tpHdNF657u2HUSw1gn+fZmx67L/O8vDflzscC+2ifU +X7WrAYOv4+xq8G2cHQ2+jLObwXdxdjL4Ks4uBt/E2cHgizi7F3SPs3OZjoBB +R9A9zs6NW2cCjltX8rqT15G8zuR1I68reZ3I60heF/K6kdeBvE7kdR+vC3md +BxjrBeD3PffdcuFPljPIgZfDcQKD7y2eVwoMvgVeGQbfAq8Mg2/tfK8w+BZ4 +ZRh8C7wyDL4FXhkG3wKvDINvgVeGeb2FeRN4Az7tPFdO8r6S5q0K2veoErzh +O7tuqSW7t17wiO+s3btKYOsfbSH8p2gdlqJ1U4rokaF2M7ROyhB9OqRdwHZd +1E70ykm7gO06KCvfgb/t/kye1j35mPX2XJk3IB/gd9DD4rlC+J3jhEAf8DvH +1dj1ayISh2LXOclI3AbwDX7nOAfgF/zOcQHAJ/id99Htfle3wOB/3ofm9aCd +f+HPLpbU55cJft1nPfYl8AnYflcl+fgO9QFbO66C7LIKsrMqyG6qIDuoguya +CtKfFdI/n18n9LZ8kaT1bUpg/D5g/D5g/L5dN+dJrxSHv9MU0SPgL/TL+h1W +ye8DtvK5Sn7f6qU82d/FYTuK9zg9BX5Gv+z4EzT+BI0/QeNPyO/771ojdLf+ +pagehPygX/h9lOP37X5ynuz/4rBeOsJnTHdLl6iehbyiXxb/KcJ/Sn7fy3Fb +hK+Zz5juli5RPQ79gH7h9+36ozjUC9mIHDFfM58x3S1dovME9I+1j7oERn9q +XH5nRI5ZrpjPme+YDyydovMS+oN+Wn3XFdEjLNcsZ8z3zIfMFzZuIToPWruR +9xkLIusgpMi39TBvrhS9DDsFMFLU8z9XKnjx46sU2I+nluS6kfRcguonSQ+l +6Ps2ktMOkptcZH76pfbT06Nc8j0VKuh3q2kcNfS79TSuVTT+ZprXmqm9Fvo+ +SfVbqT8pqp8hvGSofjv1t53qZwlvOaqvcuftpnyEvv+Lx/9vePT9Xyow1pm+ +X3H23jLqfxfplbm0nsL+fTn5xSsi+gX5cf2K64f/vRLig+5I/6EvPV2qSK9F +xwt9Bxh60eKzgfDJ/ML8kSL6Mv2Z3kzfPK33eX+wQPoJexrjBYx+87rH7hs0 +R9Y9gDEuXvcAxjh53QMY4+Z1D2Dggdc9gIEXXvcABp54nQMY8zXwgfka48d8 +jfFau1PtPIzH7ivp/h/6C7sC/eN5HCnyQW/Ln788PmR5AT4BA5+AgU/7Own6 +nST9Tlpg4BMw24tMX+AP+EH/gB/0D/hB/4Af9A/4seuedlp3ZMnuz0foDdja +XQWkb0po3aznmqAfIW+AIV+AIU+AIT+AIS+AIR+Arf+kgtZj9eRHqiV/R638 +PmD8PmD8PmD8vo0v7o7EMbBfhs8BQY6tH2oV+VNWye8Dxu/b+OXuiF+Px81+ +ID6nAz1ix5+g8Sdo/AkafyJCZ8Y7fp/9TnyOBnrMnltJ0jmPpPw++12Yroxn +Hjf7uficC/SoxX+K8J+K8DHzFdOZ8Y7fZ78an0Ox8ePdArPcMB8zXzGdGe/4 +ffbjxcklywnzLfMR05XxjN9jP6E9D1Qc0QMslywnzLfMR0xXxjP7KQFbPcnn +6ydG1rXIRz34Ke18VUXzYx3Nh000L0X9VHZeStO81Ebzks6f8GsAtn64cvKL +lZOfqpz8RuWB9eOU075wOe3zlpOdUS7znp2/yyPzKPtpAVs7sI76uUq+Z7+q +tS+TZB8oHvD9mv2gCbIbo3jD92v2WybJroziGd+v2c+YJrszHaELvl+zX7BN +7BZr3ygd8T378az9o3RGffazWX+W8gHqe/npEnsJ+V7+mwWGvQQY9hJg2EuW +bu1EhyzhNdoPwEjZL/U/3U/IL9u9sJNYblAO/rW/0xSRE6sfEtReS0QurL5K +Ep5aI3KA+uBH+/vpCN+jPvgP5ZhHmc9RH/yHcsxzzNeoDz5FOeYl5mvUt36G +cZKu2d+JejMFBv2sXVdHdk2j6CO7LkiSXkmRnsiQ3HeQHOekP7bf00N4tMB+ +HONDvp4k+R6uonVhFfm/qsT/Zc/TN8j8B38YYPjD7PqjmeZHhf13zcKfkD+7 +r6Qw/GXWbk3J/Oq/bxUY/jNrV2Zk/oU/DTD8adbua5f5Gf41wPCvWbssK/M3 +/G2A4W+zdlRe5nf43wDD/wa+wzoQfGb5MBHZf1zz/p/u+/D+F+8/gQ9ZDqy+ +rCL9WB+rp1gPsZ5hPcJ6gvUAyznsP9+N2RE7ELDnq0WE1/mS7+sXRsptfjfN +NwtCu/EjSZFv5W5SpB82Lmml0AmwjTtaSXFGKymuaCXtk62k/Z+VMl8y7PtZ +Kvjz450Y9nNWpP/AB1KMB+P29RZG7DS2u9iOYruI7Ry2Y9hOwXgA2304jZPC +OAH77+ZKv0FHjM/y1cJQ7ubQ+en5Ms/g9wFDXqBfLax2APSpvY+nWOQJ+hMw +yu19LupnRTnkDfrR3qdSLPIHfWjvIykWeYT+s/d5FIt8Qt/Z+zCKRV6h39jP +CrmCvICPMF6syzA+wBgPYPQfMPoLGP0DjP4ABr8AhlxYuhZLvucf3UfiOA2O +m+A4Bo4r4H1+3ne367VisguKI35hpL/Uflr7ZaLwPeY3G0dVR36zRvJrqR8J +esWe10jT+Yw24UPrb+2OwNbOXCB6EbDVB9PpnHCcHiiOlXOWa5ZjlluWU5ZL +lkPA0Oe23/OFHkiRz+t0XnfzOprXxbzO5XUrr0vBJ4Dt79bS7/y/7xf2Na0+ +ahQYcQGAERdg9VmKvm8jfdZB+iwnMOZl8KGVJ6xv1N7H/GLjRdVeh3719VpE +v8Lehn6FPQ39CnsZ+hX2MPQr7F27Pimgfqu9ZfO7Zbz8nY3j1vWtxW+S8Jsm +/LYRfjtovuik31d6ox+wDwB7vBdG/GR2H6lK+BSwjfepEj4FbON9qijep4rO +nVUJnwK2+5T18nv23F1KYBsnVk9xW/UUN1Uvv2dhPScKfLBfzp7zTAls1ytN +dF6yieKymuT3Lax4xu/bdXl9ZB3Ffj9rX2UERn8Aoz92XZuP3McHvNt5Lhmh +C/pj94+bIus89jNae69DYPTP3oeRj9ynBzqgfzbOXvkE/bN+DKUj+odyPnfL +flnIo7VHc3RfRz5yPx7ogv7acwD1RLc68uMqn6G/KGe6o78o53PA7CeGPrH3 +i+Qj99+BTug/vmO5Q//tuQWVC/Qf5cyn6D/KmU/Qf5TzOWX2Y0M/8n13oBvG +g3qsNzAee+6iiejeKOUsZxgPypnPMR6UM19hPCjnc9Xsd2e9ivFhXmA9aM8l +dUX0lF3/d0X0hvUHdEXk1voHuiJyYv0FXRE+tP6Drsi5cI67xfzmYZyrrKT5 +t1bsDthDvr06sYdgd8Aegt0Bewh2B+wh2B2wh2B3wB6y8cjNFM/UQv4y1Wuw +Y+y80E56OUt6MB9p38YDpcgfl6F5pZ30epb0qPINfgf2Gtq383iG5tN2mhey +pIeV79A+8MZxXWjfxjO10/yYJT2ufBuHJ8BrjhNrp/kuS/Ob8j3TlekQF6dj +486yIidoHzDzCdOV6RAXB2Tj2FTumO+YT5iuTIe4OKM4Pma+Yz5hujId4uKY +4uSE+Zr5kPmG6cx0iYubsvGOK8Xe9uuHCtFPrnnZ9yiXfQ67718u7dh1Vjn5 +hSoi+dB7dv1XHfl9zCP4fXzH+zB2nVYv+yzQp7wPA7m180xv+zB6bwb2Wf7r +fRi+F6W3fRi+B6W3fZh2Ou/X2z5Mls775XrZh9H7OLDP8l/vwzQIvWzcdxXp +yXrBN+gB/Np4tKTg3+qtFsEn8A38WT9XRvBr9URa8AV8Aj/WD5YT/AEf9r7h +PK3jmyLrJsDot9UzSZq3WiPrCMDoN2DWi+g3YMg7YPQbMOw0wKAzYC/XXZH+ +8zrLnmtujaxzbFxKOrKuAGzvra4ju7yO7n2uIzu3ju5NriM7UfvH6yzA9l6b +RlpfNdK92Y1k9zfSvdONZEc30r3NjWSHNpLc67oJsN1v1XUJYBsHp3Y+YBu3 +pnYyt8/rGsB2/zZJ65AkxcElyY5Pkt7RdQRgu9+rdjiXsx1u970Ql4b9Rfif +PxTYn3v4WPY7vd6BX3BGWP81gb3emRLmz5d2eB6EnPTml2c9wXLFfnvWGyxn +zNfs52e9wnLIfM98yPsErIdYbllOmG+Zz3jfgfUYyz3LGfM98ynzHe9rsF5k +PcJyy3LEfM98zHzL+yisd+HHxe8Dxu8Dxu8Dxu8Dxu8DtnEK0X0bz99870Vh +jP95Ou0XLxXY19d3bqxdqPae1dMrI3GOyAdeWM7YjkT7Fq4TGPiDXWnXU3pv +vZ3/ov2y96WUye+gXfZb2++raH3P+9hNAlv5bYj4YZlP0F+OI2C/P36H7x1B +uxYv2q8176snCE6SXa1+WOZj9JfjHNa8LxG9B8X6T7kfuq8PGHaghdNid7Lf +leUM/eU4jDXvm7SSPct+8WSkXxx3ALvUwm20v6R+VdYD6C/Hiax5Xyd6T4zt +D/dD4x4Aw062cIfY5ewnZT2F/nIcy5r3naL31tj+cD/aInEZsNst3CnrBPZz +sh5FfznOZs37YnoPC/u5AXO/OE4E6yzA/vdhX2Ujfkn0j+N+eJ/OrueyET+1 +PU+XjcSlAMbvW/9CF52Dis4TgL284FxqNO7Kzgu6r4jv434XsI1f0fsGbDtl +4qdFf3y9LkmRb+NCdN6BXxf7eNCjSOHntfcTNVHKcbAJSeEHtnGxraTf9L5O +6w+GHHPcbBvJr8bRgu5WXnKynw+8+vGpfwAp6gEvFs+1pDcbCY+ryN+TEDza +/eA6wYvFY5LmhRThMUV6uI3wmCG910F47CA9kyM8Kgw8AI/AF2AH/otdw/cA +sR3B8/Sa50GeZ6LzCetr1oe2v3pfB8u979c4ioscJ+ssX288xXnOjsQZ+vq4 +d3IO7aOsjPgHbbyB3kOI/vrfU9i3t0zq4bu4eqyXAOP3QQ+O+4a9wv5D9g+y +/4/9e+y/Y/+c1d/1pI+aqT8t1J9W6k+G+tNO/clSf5Q/QCff7qTYfS62n3nf +a832Ku+DReOErJ6Mxg1ZPZmm3+d9s2hckdWT0Tgjqyc7Sc/p+R/wsT1fXi7+ +UnwH/kF9wKjv8dVM65AWqQ/Ytp+kfqWkvj2/Xi7+VUuHjNS359tht2eILu1k +57eT3dxOdMqSnZ0luzVHdMuTnavn7+CftfphJcmt3jsYtw/h8V4TSzd7L2mZ +yKHF86pYOgK261mma3MsXQHb/rbQ7ydj6QzY/l4r4SMVS3fA9veYDzKxfADY +/h7zRXssXwC2v5clPsnF8glg+3sqv+Aj6Kc4OjPdmA6MV8YTj5vHwf3CvGnn +2UKBoY89PJrm0fFSL64d1MN3vnhWBLbtzaTvZoTjfobiY/V8FeTNt4d9I4U9 +HnSetffW1QsdfD7irRT29G0gO0nPX4FuPh/7TAr78eg8buPfWoTOPh/zq8Lu +Z2frvA+71ManYL6F31Zhr5/UvrfxYrov6PPhp00L7PupdgXsWnuOH/5Y2L8K ++36qHQK71/pdYY/Ar6qw76faLbCLrd8U/lH4RRX2/cxH1hngQ8SPezrNjcSZ +gi/Brzbud6bUQ35cPSsnkI+FJGfwdy4jOV1K85C+F2TvXaqS+oBRH/yO+uBn +1AeM+uBv1Lfxy0sFRn1+R8b63ZYKjPr8jgz4E/UBoz6/I2PvhVwqMOrzOzL2 +HselAqM+vyNj45yWkt9E3wtCfXsv4lJa35QQncojdLV0idLRxhVUiR0L+wN2 +K2DYqYBhlwKGHQoYdidg3+8usm+WCR8x34C+Fk6KfWP9gg3kf2ygOMkGijNs +kP7wPe7gU+ZLuw5pkt/39Zrl9wHb9yGa6b2HZvl9wPh9q8eVz62+1P1Yj58W +uoeoheIeW+T3AOP37L1CKidWv7ZK+7DP7D1MKWnf2m/LRM5Yrqz+1f1Xa9d3 +kT23jO45UrmDfFg57CJ7bhndv6JyCD+ChZdF/IXst2PY47eY9s/wDiri9RT2 ++rossg618XwVsm7Fd4DxOzZerlbWsagHmOPkYX9gXYt6gDlO3Z6PT0o96wdU +/471G6Zofaz3q9n4gpSsg+16We/VsPEAGVkX2/Wz3qNh9/c7ZJ1s19N6fxv4 +h/3boDfoCj4BXcEnoBvKLf2Xkr9xmdAJ5aCLnc8a6fsE6dEE6a0ktZ+k9lOk +91KkdzL0+22kJzpo/uwgOc/RfJmjeWqZ4NHijd+JZjxXEB70fQkb17xM8GzH +ze/DMh1W0Tj1/QnAtn3GO78vy3RiOvD7s0w3pgu/T8t0zFD/26j/bURXphu/ +b8t0zpH+1Xd7+f5b1AOMeojDRDlgi7dqwms18UUN8U0N4aWe8FZPfLKK+Ejf +CXbgSc1SDhjlfjzNND5+F7GF+sfvuyTp95PUfiu130r4SRF++N3EDLXP78Nk +iA/5HcV2ap/fj2kn/PK7illqP0t8mCM+zVH7ndR+J+EnT3ZMXuoDtvSI8iHz +KfMh8ynzIfMp8yHzKfMh8ynzIfMp8yHzKfMh8ynzIfMp8yHzKfMh8ynzIfMp +8yHzKfMh8ynzIfMp8yHzKfMh8ynzIfMp86H1gy0TvmQ+BIx7jvE938ds8dQV +4V/OB4x24n7Hp7rPDBjzI2DMf7Zc4zMxf9n6av9j/rFxP7q+9PjR9Ryvp3h9 +w+sPXi/A3vftzhb/ix/nLPE3+nQmwRPlO59OEn8L1qnWv1ct8mzjoFaJHFt5 +bab7GJpFHn3aQvaAxvHbcy8pkTPIkz2nkhE5grzYcyUdIieQB3sOJCdyAH6H +Hxr8DD63ehXvC+Jd7o/EDwU8eljvzQHeUQ94B+ypN5/iAJfKfif2RZHvkn+5 +18i3s1L4DvodsE+xT1Av9cGXPB949tD4O8gP6tn1mJ4HB38DtvFdVbR+r6L1 +e1Xk3CLkCzD6x/F24Ff0D/Yt+Bewlb96Wq/VS/8A87lWPhdq9YPOZ2uOr1sl +/YM9DfkBbPVBk/QHMJ+j5XOoVh81kf5PEL4S0h/Y65BXwHyumM/p8jlX/P6a +/Tm6/wX5t/RSfQCYz/3yuVn83pr9OWnCf0p+D+sH6BfAfO4W7a/Zn6PxZ9BH +lr5top/seqQrxp+j92BBf6E9rEdsPEAHxRuqP4fnd75Xy967UC7rFxtfkKP4 +wLy0z3YqxmX1VBfpmTzpD20HsI23LiX/gMLQf6gHfYV67Gey6+UuwS9+F/gE +zP4Q4MuWK2zxO17mAcTPQM8DH+i31bsKo9+Yj1HfzscKoz5S1uOsN1lPsZ5g +uWW5YjlgPma+A2zbgX1YHjS4cZTR/kupwHZcVVIf+5SAga/B4XwF/ID+gIEX +fO/xq/FDmE+gn+38UU/+ROh9jTeycXPNFFfXTH5L2Esan2T9Ky2ij61+xD4m +zqloPJPVr62iT62+g98S96hr/BP0JfQX9KPVZ7rP6f3LGi8FfQh9Bf1n9Zfu +c3p/s8ZXQT6hjyCfVj/BLs4GP7rv9FytvU+hU+TVxkvpPufj7jv1Z1t/GsdN +dpE/rEvoY+snSV+m6Ps2kr8KaRe/D9jKsb7rGOcXt/GvCbLnE2Qf6T0yli9W +yTisX13vcQEfgF8xTrRr/d8Jsq+Sggf7O3pftT1flxI+QLvW/50meygjdEe7 +1v/dJuOEXrbnlfWebjuPNZPdxHE9bNdw3A7bIRyXw3ZEB9kZ7WQXcFyNzuuY +d1Fu42jKaVxVNK5q6nc99bue+tUk5dBzKLf3hJSLHrP9aqV+t0q5vSekXPQQ +yu09IeWiZ1Bu7wkpFz2Ccux32fHpO/U2vmFhZD2Ner58fGQ96OvhHbt3JB7H +wwVSD3gHPQBjXgPeOe7GxsPpeXrAmJeAd46bmR3OO8A7x8VgXgHeOe4F8wbw +znEtmBeAd45bgd4H3jkuBXod62Tg176fFRfH0Uz4axLYxqlXCx7sO1IK2/jW +esELfseuQzDvt9K6KiO/Y/m6Rfw8dp5vl9+x74CkyA/UKnjE79h3OjKyr2fn +8bz8jj1X2S77fjYuDvEMiyW181w2YjcDxnxl/X+VtO9TK+W8TwU70O5Dlom9 +CBj1eN4EX+B3AaOenVfhT6iTfgDmdx7sfnKTzJeA+f44O18maL7Ue9itvyIp +/GTnS7XnMA/a+TJN86W+R2b9CxmKf+DzKBp3jXnJxjMozPdtgQ9svEKOzlNp +3Azv69tz1XoO09opej6R9+2tX0rPGVq86vk73pe3dksmsg/P77TzvrtdH84V +vY/1IZ/HsHAR3ef/CcV/LqI4vFLhf8gRx0cBRn3wM+qDzznODfVBD9QHn3Oc +m13HJ6Q++Jzj3FAf9EJ98DnHuaE+6If64HOOc0N90BP17b3LGueG+qAv6nO8 +DGDUB71R38bLcJxbaWTdC31k70/Ve8HtvofGCdjz6aWihyweG0nfJsi/kCC6 +Mp2SRNck6esk0SlNdE0RH6SITm3U/zbqP9Opg+jaQXzQQXTqJLrmiA80fsP2 +Iy/17LkG3Ye15xZ1fWb9BbWReYLnAdbzrMdZT7MetnGTBaJ3fL8mid4BDL0D +fQs9jNTzWY3oW+hh6y9ZRX4LtTt9+82ib6GHkWLdZP0OmmLdZP0KmmLdZP0G +andi3WT9Amp32nVTXuiNlN+3gF7G/g/0MmDoZTv+KrID1d60+wctEfvSrq+i +9qS9DysTsR/t/VftEXvR3jcStQ/tfSFqD8L+g5/Y/+4S2bdC+yi354e6yK9X +GuFL6z8tiOAZMOjCehEwz4dsZ/L8x3pzzfNdgtpjOEl6juEU/V46ouesHmO4 +g/QWwzmar/QdTMwvSKGnIP/2HhzVW5B/e09No+DLxknye0LRd4Wsvyn6zpD1 +M/J56jbyI0bfIbJ+Qj5PzX7AHOm76LoRehD62543ja4boRdtHH9z7LoRehL6 +3+qH6LoRepPvj4hbN0KP8v0NcetG6FW+PyFu3Qg9a8+dV0bWXeA7XlcBtveX +NUbmS3tfSnQdZfkvum6y/BddJ1n+a4vMt5b/ousgy3/RdQ+/52vnyxrR73bf +WPkJ+h3yBjqDf6DfIW+gq42zUD8/6GjjLNSPD/6wcRbqpwc/2DiLTjqXM5PO +4fG9k3qOD/Jm48L1HJ8991JG51rK6NxKGZ1LKSN/n74HatdF+s461mOAMS6f +Xy7teLpUCYzzb4A93pqovEVgnDez9dMCe7y0CYzzXYBxXsuOqyKyTwA+Q4p8 +q8dXScrx8ZbPmknuksRnSZK7FPFZiuSujfgsQ3LXQXzWTnKXEzsDKfI9/SaK +P9amE8VP5celcUA2v4jsu0VkD8LPpSnyfTvjyX88WvK9XvyE9osXSj74z35f +TO2CD2cJzHbVf7cd2Fm2frH0CzD3D3YhUtsvjYMfHNojvj29VwL5tt5Skke8 +V1McGZft97he8fLfHZdNtV3/+7PpdxbJvrQvL6X1ehmty2ZLinz0D/1Gav1G +GpeFFPmQbxsHhXO8NWSf8DndBpHvceF85PuF+8qbRb4xH/n8lpDuej8s5iOf +j3sTUyLfmI9wTtbr94zIN+YjnIP1+l7vh8V8hHOuXv/nZN2G+QjnWH17eaJ7 +AfHX/Fi62nrYp4GfGfuoOLeEOK5G2af3/UrIvrvPT8o+us9Py764z2+TfW6f +3yH71j4/R/f06T0ffhx1ZDfpPR52X0PtJesnTpMfuI38vHrvhn0HWt/5xLzk +80sFhnxYuILmxUqCa2leZHgVzYuNAnu8JAQGPSycFBj0sXBKYNDLwjpPg34W +7hAY9LRwTmDQ1/OX2huev1YSXhVvXs+spPrVAkMfWLzXUHs1VF/tGasvQJdV +1F4D/X6zwNAngL1+UBh6xrbfQuUtRNcktddC/W+lcoU93VPUnsKId7HlGYE9 +X2SovQzhq53KFfZ800HtaTniXWy5wp6vctSewoh3seV5wk+e8J0nehb/Lx/+ +Lx/+X+VDbzetIPovD/GUp/wuonNxbL24dgFj3QfYDXOw3gNn7Tmd/61c1Als +4/qKZf63424lvCldMf8DxvwPGPO/7Y/GUyJFvu9flfQbKfKxXsU4kCIf61eM +C6nN13hEG5fYIutbjNvGHbbKehd4sHGFaVn/Ai82brBN1sPAk40LzMr6GHhD +ivz/KT+Evb9odMRvAtinM8L8mwX2+utvAnu6vizfw/5Cuf+9tyS17RbSO9HY +Z54fylW1rCegx8E/Nk4meg+Qr6frCehh6xfRuCToWfCP9XNF7+mxfq6M6Enw +j/VztYseBP9YP1f0Hh3r54rek+Pxhn3DpZIiH/Mc8IYU+ZjHgDekyMc8ZeOG +eV2meEOKfMwzwBtSuy5TvCG16zLFG1K7LlO8IbXrsrzgDSnyPd2xLq2V9an1 +g+r5Mqw/rZ9Tz49hfWn9mO3kt8zJvoD//dLI+QP0x8bB6v0Rdt9D+2PjX/l+ +B76/ge9nyEk/0C+kmJes/1j9eZBTj68asZ+sHaX7uezvs+/4AO/qF0C+PUek +/kDIOewoz3+aIh94Yn8h9ADsKNhPSJEPvLI/EXoCdhTsJ6TIBx3Y3wg9AjsK +9hNS5INu7I+EnoEdBfsJKfJBZ/ZXQg/BjoL9hBT58G/Yc4ulsr5GinxPF/UH ++/wKWV+Dn+x5h1pZbyNFPvgHcoF1NtbfSJEPfoHcYN2N9ThS5IM/bNx5Utbn +SJEPfoDcYV2O9TpS5IP+kEus07F+R4p80Btyi3U71vNIkW/vH87JOh7re6TI +72P++F3u+H0IwH4eKKF9FrULUe7rs92q95z5fLZj9fw+/Ecox/yNcviT7Pd6 +/t7ub+q+B8rhb7Lt671kNu5V90VQzvclY/5Gub3HjvdNJokfHCny4VeG/xUp +8r1+Wix+Y6TIh9zZfZkukWMbR9RF/uUiSS0/gD90P8Gn42hfi/ch9L5ofAd8 +wO+OevZ7vY8Z/cH4kI/vfBr1q1p+ja7ffL76C+x8Vkz77sUy39h2Woj/UsRv +GeKvduIn5R+so35p/bJ6X/H3S1mXYl5BfzBvoD92XmgSvW/Xj0laL/L6kNeD +HbT+y0XWyawfWR/OJv3H+o71G+sz1l+sr1g/cTyo1cOlRLdK0sOVxC+1pIdr +qZ+NpGcbaZx8v2SC2td7UtgvjnkX5ewXt+egSyJ+cb6Hif3ifO8S6Ity2++o +HxP6x97bMFdgpKiH9ZvVVwUyH/j8iQIjXXO9mSH9ptC9vFVkv1eJnQ5/hLXP +4fdsEP+Eh3Ud7cDZzRSHlJR5GHY0v4uJeRh2Mr+DiXkYdjC/e4l5GHYuv3OJ +eRh2LL9raf0wedrHLZR34+CX8HheSPtyei8s6nn8FAr+2f+BfN/OfPkdpMj3 +7eB8G5+f0/1X5KMe8q0fTlObP0v4xX83W/J9u+/QO3mzpB6+Qz7q4TvgBXgC +3pAPPAFvWH8ijtCeJ1gmMOpxvpVDPYdo7R89n4N6+A77EeAHpDZf1zGwY2AX +wW6BHeTLS8UPjBT5Pl0u/hqkyIed4/u7VGC+zwj51u7T+4q43Pe/iO510fs0 +Adv93GLZz7X6OUH6OEn6N036to30q+pbex9LMbWj+vWX2m/Q1faf95Xj943X +vE/c2z5wb/u8uQg+wc88L82mecbz3Wsk/7BbamR+gH8G84Hns2bR//CfQN/D +HwL9Dv8G9Dn8FdDf8D9AX6P/vj8fkv6oEPm2fFIk9o5dN1VKOfQDyi0fFYm9 +g3LLV0Vi76Dc8lmR2Dsot3xXJPYOyi0fFom9g3LLl0Vi76Dc8mmR2Dsot/JW +RHHJUT1h9VGplAOPVv8oXoFHi5daKbfvNC4WPFq8KN5sXGCR4NG2nyS8pKUc +eLR4aaPfbyO8KN6AR5Tb84SLyW5cKfV8Wi71wK+AfVpN/FIt5bDbANv1H/BQ +T3RYRd83S30v581S7vMZbiH5aaH2kwSnaLytUg67z8IZkr8M0ZHhdsKPnguB +XWjhLPFRluicIzhP+FS6wk6w+CkSOtv8KJ1RH3S2eIjSGfVBZzuuKJ0tnZSO +cXS2dGqh34/S2dIpRe1F6WzplKH2onS2dGqn9qJ0tnTKUntROlt9kKf24uls +90uL6f6fxbKeRzn8DxY/dVLu8av6EOt9lMM/YfuXkHL4K+z4WqUc/guUwz+A +cvgzUA5/Acrh30A5/Acoh78D5Tb+rpjut4niifHCeOBx8zh5XDwO7jf3EzDW +YdbPPTW0m6eJv5vXZ8j3fDAvHMd8WrcVCuzbLZR6/vcKxR+J/vj6OHe7RPJ5 +/uX5ludXnk95/uT5kudHng95/uP5jvWfT1Wfsf5i/cT6h/UL6w/WDyz/LN92 +X3MJxeVoPZ/mpR7oBTqD7qCvpTveYVL6gb6AffnMYOyla922V8k7whd9j3l9 +3d03Whhc+8U9I7+c+3Lw/vDNCoZVvRqctMOGK3aY/EFw4+nlmdP2/zCY9PmU +6YNuLwoWtvX9aM6RPf3deeSgVy/pWdfeUPCbroUVwXXvH3HKwWfXBoNHbHx8 +7vMaSZH/5FqlN97Xtio44d0XrzlgjKbIP3/XGSdfcUQiOPDnZ0+Yt7GmyM+d +9F3DQ2OTwZJdErXJYZoi/+7rj7lh2opUcO6Je4zYYIKmyB/w1CNrrRzYFnSM +uOWnPTMZSZE/8b3Kp765tCO4+8kPnzhjqKbI379hh922L8gFA2avt8utIzVF +/id9rnr/qC/zwct1p737fGE+eLtsu1ENm3wanLr74xut/HqcwC353LDa9d8L +9t1mye/27Pcp7YN1Sz7oZeFCgX/c4+VL39umLJi60Le7w3/uO7bPm5VBQQgf ++9GiqScdWSflV6x/zopxpY0CfzL5y2+vm5EQ+JylRzwy7rukfN/ePXaH945J +S/mdW5ZOr3+kTeB+h25zTJ+qDoFfvviyysE7dgqMFP1Eu//49o2h1+2tMPf7 +o6MPGz57QaV8j3GgvPlvy0b+fFZ0XG+G8DqVf5xwYjo6Tny/Rf+RiRM/VJjH +PXm/wluuW69Vvmc8HHjuxuuPOy0eL0vuHPbc7Gfj8XT+Ky/uUd8cxRt+P/9J ++sOfd+8M+bsr5O+uoHFs/cIH/vR08PAD1y148KLHguufXrTH018tCup/+OMO +Pw5ZFDxyevsX9ZetlHZnPHfHwF2/qha4ItHviOv/2iDwXa7fzQIPcP1sEfgV +16+UwPvdX3DlSVdlCK/twWSDx6yMo8PhLR/hh/9X/ZxM/Sygfk6lfo6adfJL +TVsViJyel9779MG3dAVnVnh4Slj/vg6fX9p32oRdX1km7UIu/fy4TFLkXz5/ +//VP+dP84NB7nvniykPmSYr8Oz4/skdPlgVb7btRj94sDfVnaXC9059lwYnr +H7VwvYnvBYMqb51aucXsYK1VYxsvfGll8P4Tw2oGHK4p8gfvts06k/apCepq +0z+ct7w6WPZSyqVDL9nW5Z/g9HZD8KPT4w3B5223uXT4lDdd/oFOrzUHmzk9 +1xz03canR47c0eUvcfquJZjo9F1L8MIRPl3+os/3ejsV6vFUMPQyn15W6PM9 +X2dCPs8EhWObXfpl2uePcnq7PTjb6fH24A8Fu7v0vo2PdfmbOr2dC3JOj2eD +1IqbXbrV0Eddvtfb+VCP54Pbvpzr0inDqlw+6IJ58rYxt04dcX+J8MXqUaS/ +ezM4tWdUY5unSIr8lw4r65m3KoPD73ihZx6rDFYLZ/GouuCSRUMev3vruiC1 +7Ks5m/drCu7rt+CdxVMagzGu34lgmBtHIhjo+tkapF2/k8Ebrl/psJ/p4FCH +57ZgA4f3tmCpw2tH8LzDc0fwR4fHzmCIw2tncHD1LkvHvNkVzNj8x42X71gc +vB2mP5c/scfQiWXBmyH86+13OX3k/lXBWyF8zBXv3lJYVCfwVdNOeG7j85qC +ghBe+P2Ii6d+lZDyc3aa3b38yFYpzxz78+gv/pqW8juuPnHLgWVtwQchvOlj +T04+fNus9GvizLpDLv1Tp/Tv9aaT+u+zoEv6N/2oEYkX7yqV9qoe+mm9TP/K +4J0Q/tGNp1bKd3LjaRT4Fde+9nc/h5ekwJ+48aSCWSF8rhtPWzA9hLNuPB1S +f5QbTy64foPdjinYokL6/ewZ71/55aQa6ffc509+5IhDVgmcv+n6cxemmqWd +u555ryMzJCl42Gxun7v63p6S+q86PGSk/QPWfeqV4Rt1SL9Kftuw36izcoL3 +C0/dtWjCC3mpj9851tGzXPKvdfSslu8e/Kb2w2HZevldP/5mKe9w428J3gjh +kW78rdJvT88e/RrCLzp8t8vv7+/wnRW4yOG7U/nt4OMnfH7VUvm9CXf/5ohF +664IBrh2u5RuW1772fq7aXwG8lFv7hHHuXb22OYH0w7axXdox687S4LPnt30 +6plvavt1ofwjRb4tL5H1Ze76zbd6cJMSKYfd1pBsmD62pEzotd5eN1SuuKhK +8Lz7rWt9N7C7TuCT5j21w2Wjm6T+QY7eLTLOxY7erULH8xy90wJ7/mqT+vc4 +/soGkwx/dcrveX1VFuorTZFf6PRXVfBHp780RX7G6bP64AGnz+okRf5GWz/Y +M+80BW+cfVbPPKQp8r1ebgn1dEJS5Hv91xrqP02Rf5jTh+lgQ6cPNUX+Mqcf +24LxTj9qivwLnL7MBns4fakp8j9z805nMN/NQ5oif/G9V/d9rmh6sLrXK26e +JinyC8487/TGvy4IUmVdRx+/YL74G5bvd1vJpClV4m/44s4Nu7sOqxd/w9ZF +47c4ZHmT+Bte+NWz2/9uaEvox2gNhuzZPO2Kka3ib1jwh91/93BhWvwNZ/7l +5pXTNm4Pjgv9Dcl/zL1i5bCs+Btu+3jdf37zYmewcGjja0tumhauJwvE77DN +2McPzH//pqwvV9yypOrRP80X/0lBR+uki7bWfeBhW2533sQ2vddg5MVv3ZUd +VSX79y9ODibu369e9usXdJcV3fUS7rNoCT7ffuZfkgN1P/6B333/qw0ua5X9 +963+fOzzexbgfo/2YMrDj+55xpe4vyMbHPZ21cd/6aHX1a5/nUHJyh3PeL6H +Pg9vuLjHHl4aFD54UY89vDR4/uuDK6/ZqCTY5raJibXL9H2Vgj0OnHlsmeaj +Xj/Hpz12qONbTZH/+Aar+b0qqC1fze/VwRBnRzUES51dVS8p8t89Y/X3PXjY +bvX39UGB4+PmYJTja02R3+i+bwr6O3loDo5wfN0S2l2aIv9e931L8Ir7viVY +4fi8NXjR8b2myN/cfd8a7Oe+bw0udXyfCfZ2cqAp8l9336eDT9z36eALJwft +wQInF5oi/90/rv6+PahdtPr79uABZ+9kg7OcvaMp8k98YPX32WBE++rvs8GW +btz5oNXphU5JkX+++74zGOW+7xT+/fLw91s3GD1D/Nie/6qDQsd3eq8Xyr28 +6f2ynj/rg/Qhl2eL9tF7vlB+aP8hh4y+RO+b/cLxb3Mw1vGtxn+jfKiTV71/ +doyr1xIMdHyt94ChvNDJs95Hu7Wr16P3HN+30r5Ga3CWk3e9n9bLRzo43MmF +xnOjPO30gd5X6+WnPVjq5Ebjt1F+u9MXen/tMlcvG1zyz6uSH6/Qe8RQvlHy +1Ie3z+h9tr5eZyjnGq+Ncq/feujp1mFdsn4a+8qZo7cYUxY5h7bP0gf3P69n +/TPV6aGqyLnv4U4fVQYrnJ6Fn7su1I91we1OP9UFnzu9i3dF9Fy455emcBx8 +H2kiHA/0st4/+lion7vdOFuDvRzd06He1nPkox3908F8R2e+X7Qt1HdtwRmO +rtlgZujvhP94kqNvR9Dq6NgZOXd+qKNnJ/mT4OetCQ53/FsT8reemwCfX3Lu +/ItKPm8INr7/6/4DFun9duBrz5/NIV9G3zca5vqdDKa6fkbfN/L8lwr5js8v +ZEJ+ywTLHZ9F3zfydGkP6RB938jTJRfyG58vyId0yQf3OzpE77cD3rDOz220 +2j+k97X1dXgpDS51eNJzKX6dXhGMdOt2vedpqOPXyuABx89639ghzt6qDV5w +9lat8Knn39pgsuNvvRfqYmd/NQYLnP3VKHx7q+PnxmCp43e9j8zr40Soj5WP +PV4TIZ4TId8kQn2cDNelek+Ux3MyxLueR/Dr1FSwtdPHOCeVDvVhOqSD3it1 +q5uf2oLJbn5SvvfzfVto1+g9U36d2xGue/VeKS8fHaHdo+cRvL8hF9p3es/U +ZMeHudAu0nuoQBfQCXQBnUAH0AV0AF2Ad9ABeAcdgGfgHXgG3oFXvgcOeAYe +gVfgEXgF3vgeOOAReOJ74IA34IXvgQOeevM7Yx00vPLTU+cOWSr2n9er1WL/ ++flV7b8Jrv/NYv/5+VHtP98/tf/8/JYR+8/rD42v9Pas2n8bOPx1BtOw7vtw +Rfr189+WddJV99UUHvb9/CA7/rHDTjzjOTkH8GnZKXfs+vCEyD1JqHf9P3at +mLYx3r/Re5F2/NsuPXpMU+RbfE0U2ONlbmw+4P7//OAfp571icQp/rS7zwf8 +6cczf3f1togHKYqth3aAj849B1xw+5X3CHzRb77b+oVgVvCrI5f3u/b9F2T9 +iPSb1wcNv+TYhcEPX1/ed61zS4Kry71eRPl2Xe+MnFK1WPJR78sPz/++6iu+ +72hpMOHK/DOnnqX3H0377Mf2on0qgj9ssvZWhyxfKft3tt5S9e/sUfDi5gdO +Enq+MWeHS4dc/lGw+awPhwe3zZH17R9ya3+5T/Mn8t3DJXu+cutF74f4mh2s +c972n72VnSN4Rz7qQS/Azjg7tCtgZ0AvLA/tjFGhXYF1HfQC7AzYFXz/DOwM +2BV8Hw3sjM9Du4LvpxkS2hmwK/i+GtgZsCv4/pozQzvj9dCuODa0M6AXYGfA +roCdgfkQdhrsMhufMDOYkHnire0Wq11u97cLg4Hrd+6404MLgoXT7537TGqB +rDu3HTLgozlHlgRnvTVp+qDbiyVFPux42PWw42HXp5f5ddn9/fw6befQvkmF +dv1hoR0Pu977JeqDyWf7dRrsHdj1sONh1w8M12XLwnUa7B/Y9bDjYddPCddl +t4frNNhDsOuHhXY87PrDw3XZRuE6DfYR7HrY8bDrl4brsvHhOu2a0F4qCe16 +2PGw6y8p9Osy7y9W+wl2Pex42PXe75EN5o316zTYU7DrYcfDrh8drsvOCNdp +x7p9hKpg3fbV+wqaIv8qZzfVB791dlSdpMh/8qjVdlJTcMKtq+0mTZF/rhtP +S3CwG4+myO9w/W8Nil3/NUX+T/1W9zcd1L6xur+aIr+vo3d7kHN2T5ukyH/Z +0TcbrsM1Rf4+jp6dwaaOnpoi/yi377M0WBCUfPvOCyWSIh92urc79f4yL396 +PtzzkZ4P93yC+7VSIR/o+XBPZz0f7umo58O9fskF13+zmg7VweC9VtOlSlLk +P+HoUB8c7+iiKfI9HZpDumiKfE+HlpAumiLf06E1pIumyN/E0SET5B1d0pIi +f+dzVtOhh88/W00XTZHv/SDZYDNHF02Rf8LLq+WrM9jlsNXypSnyEW/P/mLk +H+H0TSnFf5QGGaePSkN5rQ32dHpUz9t7/5qet/fyr+ftvZ2p5+29/KbC9Whb +0OXkU++P9Hajnrf380JO+oF+IcU6B3wHPkSKdST4kM/T9w3XkeBLu17UdST4 +lM/DYx0JvgUfY914eLiOBB/zeXasI8HXfF4d60jwOZ9HxzoS68QHwnWjXx/r +OQ7QDXQE3UBH0A10BN1AR9ANdATdQEfQDXQE3ex7lX36gO+KBj3X960zp4v9 +s8+rN65oO3WB7IdgX3Prl8oz731SJCnyK4srb31z52cP+8ucsiG1Z94ePJBZ +1ndu6WXBo/t9VHH7r+8LjnhlxK/ybfcGuy5vPepvJz8i+x6XuXF0BX0dPfj8 +bFdQ6sbdJd+hHeSj3tjEq49+fyTipZbI+rzvwhO2++auj4NLBt5wZuvB8+Tc +wKgJPz1Yvv+HAqMevkM+viva8+f9K74tCfbb59jSXw8uFj/4l4f/uOnrV78R +vJD5/b33NE0J1yGTgqVfXNN5QfWrAqMevkM+vvN27MJwfbQouPS51ftMej7L ++6fUj+7loTz0n5eH+wLR81XIRz3kj5i32j/QAz+02j9QHu7TlIf7NuXBrles +9kOXBw3Pr7ZXyijuS89NDe1bFxw14J1g4NiTNzxzCz1/dc7rMyd82P+doPjV +pjGPjNbzV6iH75CPODLYeRg38AC8IP+r1rueu7Enf8jlWzxS02MH7v3IQbvf +/ALi4pYHbd9u1tx023I6h708OPz0e469etvlIb+soPdFl0s7qIf8nUN59uvN +fLDI2ZHR81mQc9TDd5ADyAXsXOATfAw5gFwhrgByueH5jVNfmrtUyvtOnXf4 +k0uXyfqm/MLHh249c3lwt9vP65L9wQITP5SXfNS7bJ9vhp7csULqoR20i/W7 +3bdcInLHcsVysFG539d6KNznuqkuOaxg9zeD63tm642PfTu43O2/zA9Sbv9F +U+Tvvd3oKx8/a0EwbXz2lt9sWyh8CT4FHfy8WSFyArnB+gPr5dOvfCBTt1Gp +jHdEuH5D+c3Tt+o7+MUKwfMT4foN5c+6OLRaiRvD+g3lc1wc2ir5Hus3lPs4 +LY2fw/oN5fe6OKEk/X5ayjdzcWgat4T1G8pfd3FoGkeG9RvKfRyaxpFh/Yby +T10cWk7KgSfgDfnAE/AAvKCc8cDj5nHyuHgc3G/0E34A9D/h4vzKpV6Viwur +IHxXS/11XdxflYzjWxd3WEv4bZD6u+/weeGTt9cLXrZ3cYg6TqwHUX+SG0ez +1J/o4s4UD1gPov7BbpwtFJeWlDgyrAdR38cNtkp5kYtbUzxiPYj6Fzk9kJbx ++ri2DPFru9TvcnRrp/hOpcOP4XoQ9e9xdM1Kf3ycY06+x3rQ8rPGMfZ3cXrR ++D/QFfX2cHRYGaEzxgW6Wv6tkfqgM8pBV5Tf5Phb4wlBZ9QHXVFe7OigMNOZ +6Xqho0OL4InpDLqivqeD0hV0xnhBVytfSlfQucC01x5MC+HNHR3aKX61Q/oD +uqL8NTd+pSvTmel6iBu/0hV0RvkxLl63XOyso07t/Orla8rk96908bpVwf5h ++eXP3LNtxw8a7/uoiw+tl/IxTZsG+z2u8b5vu3jRJikv+O1rf7pzUBPFc7YE +B4TlrQdvt6ilVunnx9cq5bdfdPnZv9pF6dPXjSct5RuOfqvtP0akZXwvOX5o +l/Lxk74e9Yd324R++zr6Z6V/e5cE/f7yk8qZj0ft0dNh+YKuB1/6xwmdgrcC +wtMUwgvjgcfN4+RxTaVxFFC/36R+ov4PO87beJv1CoJTbr7iiJE7TgteXfLb +gTNK5gVlzo6bH4x3cRQLgm1dXMWCoKtg9fcaP9t/Sjh/nN06ZpfPlgfFl63+ +fS1HO2i3aMFqvtZy+K+L9+43Ze1dnhf4nhsfOTxV9n5w6oyNSxffO1nsrOp9 +N/rmkcYHBB7y42mjHtzwY/kO+Y8UX5N54NFPgtSAU8aevfsSye++Zo99vm6d +JfC8xXMu7ffsQoFfevn1B2fvUhysfdniu4746pPg6pFdXS8uWCz5u956386/ +KrpT4JfDdO9+g3ZadOf0YEIINw484LwvL1sg8N+zn12w+JIX5bv/fOm4q89+ +ZU5wwVn/uDWVeF3yg+VPn7r1oR8J/OVhN607ZstZAh8/9KKSYXsvlHaRrvfY +GU8dt/dYqTfs7HeO7df/3WDlp8mnKwcVB9tst8kBW3bNDHYd3X7+pFH/kHpj +D5p3yjE/viz1kH/TEXdnB765UPKrXipIbv9CoZQ/M3bAgMuOXBI8Xv3g88tW +92Otxj1ebz1Ryjd98NfffFUxOSgPv39105XV6z39qpQ/11b96Ev7fSzll721 +792TN/8wuHP/z6/6+b4npd2txqyz+/LJ78t3w+e/cXDR4g+0X8MmXTTy9k8E +D0+E303c4uW5Jw14SuA5u++z1kH93hN419989OleBYsEbhyyzY0nlRUI3Gf1 +cAbOD2bNGDPitSmzJX/na6+85/KR+t16Qx7o2u/VGTKOF1Mfzbtt/belv6dN +SR+159cLpL8zN97ikKHp+VKOcX7w+/UvPPPLomDW49M3faiwSNpffmTh8YM3 +0n59d8zUdw9cPk/g51y8ainFq1YKPze5+MXaYEoIr+viFxul/hYunjAh8Gsu +XlXjan28alrWJZ+6+MU2ae8CF7/YId/nXPxiTr7f1cVHatzqyS4+slrKr3Px +tw1SXuza1/ha334LxUdq/KSPj8xI/7Z042kX/8hkN56s9G9/N568xL3Wrvfw +9gNvKRX++eG07X936XqVQp+dnpt2xdRna6X8uMRRD3+xe6PA+z999Tk7XJyQ ++p/Mmdl+9OSklJ/b+P0dV3anBG5f+7hNHjmkLXghhO/6zWMvTx/dId9vckr1 +vpUlOYFH7LFy2uEfliu/3HLFyjGnVUt70z/85pvlzfUCd7r2mwX27bfI9/1d ++60Cv3LjTp98u0VG9Ni+bjztAi9248lKe+e48XQK/K77/ZUCe3zWSPsen6uk +fID7fe3fRPf7iq8D3O+nghcNPrV//vfbpX2Pz5x8f7cbb17guhNqHjz20pUi +Lz89cc1bj35RLXI3uO6HsqoxDao3njzh+/6PNEv5gbOfeHT/yhYpX1xXu+N5 +O6QEPv/nnWfedWVG4OwuI46dOL09+HsI33Xiu1VF32alvU2u++mq7NH54LEQ +HuT4q0z1u+OvKoGvdvSvI/o3EX8lBM46fLQKfIfDR1pgT/82ae8lh/+s4NvT +X+l74i6Pf73jwDIZ34gRg7a7emqlwI+/+04w8/A6Gd+7Px13+ffLG4MnQzjn +8JGQ+nc7fCQF7u/wkSb8twm8r8N/h+CryOG/U8p3cfSrEPh4199a6u8qgZe4 +77U/5zr6JaX/vr8p6m+G6Nch8Cuuvzmpf5Drbz54KoSfdPgpl3KPnyrBT43j +z3op/8HxZ5O0P8D9XovAr7rfa5X6+7vfS0t7nj/baXxZwV+HG5/iD3r2MXd+ +YKXAM915jRq1u9x5jVV67sGdH1A93d/F7+u88bI7P5ASPe3PD6ie9ucHVE8P +d+cV9BxEuzuvkBc+/WCHeX/pW6Vy0nTlGc8Pv0rlpM+M5McTvlM52fW7vyQz +jzQJ/PqgdR94rn+L6pnjT93qo3NVThZf88wbiVfSUv+8x5sOXT/bFrwCuXrn +t8v22D8r5ffU3PTH0+/qFPj3x2ywwT47Vkh7Nzzy/J6jZqgefKpyzzMWHqN6 +8ELXfrOU51z7SYHvc+3rvLHpjx98dktRRvWmG08HjUf14BI3HsXf9a4/pQKP +c/3Ree59h1+d5+odfnWe8+PVeW5z1x/t72uuP4o/3582wq/21+NX++vpp/Pc +YEe/aoFPdPhtEPgg134zjVfpe4FrX+nr8ZsRPXe3G0874Tcr88yrbjx5kbtV +u64zZPdRKwXuc8PTZ97ct0bkaPD7v7lt7gSdR17rs+rU0c81C3zgrrs1T0ro +PLLkpBtuLtnjX+aR699ft/uWTPC3EM6PW+vZLT5SOb77vZN3P2R91TMDGp6a +e9HpeYGfeqqx9Znh5SLn7zXcuGFzpor6r3rmHtee9m9T157271XX/9bgUdN/ +1TNFrv/t1H/VMznXf9UzHl+lhC/V2yeu9cH4dff5F7198inzT124ivCVkPFc +4H5P5xH/eynp311ufG2EL9Xbfny63wZ/V9mO62x76/gng2nheVGknH/EnCe2 +fmxRQTAm9+nAtafPlvOlDaE//sU9/jVutzuynwy/N2DEKQGGXxsw/NiA4bcG +DD+1/T4tMPzQtr0Ogfldce7v7DBeDvshiE9Dinzg55n5G6x4d8v5Qdnd+Uv/ +XjFP8IP6wAv8AKNLfdw46jFeH37woeFP3Yl3CouDoW4/COc/qsJ4Z33/Y4zb +x9b3Pvy+td4f5vep9T0Pvy+t73f4fWh9r8PvO+Pe/Wy4z5wN95M7w32lTokH +RBwi4gwRd4jx8Llk4CnuXgHAiBNE3CD4kPE+jfCG73HuHOfQce4c59Bx7hzn +0MHH4Gvs2yEu0I+3OCjbLZSf3f41XrJY4vIQp4dzzjj37O2rLpFLyOuFTr67 +gpqaow8sH1Yi5UjxnY930PdffJyCvveyt9vP1/dd/LkKfc/Fx6/r+xv+XIS+ +t/FHtw+u77P4cwH6noaPP9f3M3COEOPHuUScU1zo9if1PRukyAcfYzxIMU6c +O0P8Is5pIW4XfI/xIwVecE4N8Y0414U4X8gJ8IUUeMS5NsQ/4hwY4oIhV/a9 +kxbBO87BIT4S58YQRww5tO+htAqdcG4O5+hwzgxxx5Bb+15KWuiKc3aIr8S5 +NMQpQ87teyptwgc4l4f4S5xjQ1wz9IJ9byUrfINzfDjXh3NvOAcHPQK9Ar4C +n+HcH+I3cU4OcdM4J4dzc56/lgajdrjw5nUXLA33hUsi77sgH/WQDz0LvYv3 +Xnx8fXW4r14l+XjvZYqLt20I+Ybf0WkOMg4PzWF8TZPk472XkW6cLWG8jb4D +g/dePJ1bw/gbfQcG7714OmZCuuk7MHjvxdOpPeQ/fQcG7734eFvIt74Dg/de +PB/kQ/7Rd2AQR499eZxLRPyzx5e+D+Pxo+/D+DgpfR/Gj1/fY/Hj1fdYfLyR +vg/jx6PvsXj50PdYQCfQDXREPuL+oU9w7s6+v1ovdAWdkY9zAtAnOIeH+FzQ +GXQHHyAf5wqgT3AuD/G64APwBfgE+TiHAH2Cc3qI3wWfgG/AR8jHuQXoE5zb +mx3G84KPwFfgM+TjnAP0Cc7xIb4XfAa+Ax8iH+cioE9wrg/xvuBD8CX4FPk4 +R4FzFTjnh/hf8Cn4FnyMfJy7gD7BuT/EA+NeB6zr4UfFPRWen/S9Ic8f+t6Q +H5++N+T1vfK3p4fyt8evvjfk8aX87ccffW8IcZo45wV7G/2CHB4WnqNDHLq/ +J6Um6Hb3pmiKfIwDcotzdohDGOXinFeF58gaJEU+xg05xzk8xCX4e1aaw3O+ +miIfeIJewDk9xCn4c77J8NyvpsgHXqFHcI4PcQv+nFkqPHemKfJBB+gdnPND +HMNYFy+eCe9D0RT5oBv01AbhOUDEuftzaB3hubR2SZEPOkOv4Zwg4t79vQK5 +8JyapsgfEp4bRJzDMEfX0uAzR2dNke/pUhHGzVYI/4DPce4P5wDBH+B7nPPD +uT/QH3KAc3045wf6Qi5wjg/n+kA/yAnO7eEcH+gDucE5PZzbA/4hRziXh3N6 +wC/kCufwcC4P98jhXjncI4d75XCPHO6Vwz504dbjv/hp8iJJkY975nDvHO5Z +w71rOxVNvOuqh24Jvn7mxEe7u8cEv8v9+Mbhhz8o57ruc/cJdQUXuvuEuoJR +Dm94J7NLvkM7+A7t4Du0g+/QDuZtrFtH/Pi3JV+/uEzWIVgfe/2h97ei/rsh +PMTZUXpfOr7DPUO4dwj3DOHeIdwzhHuHcM8Q7h3CPUO4dwj3DOHeIdwzhHuH +cM8Q7h3CPUO4d2jt/9xu1C13fRzUHX3mpcd0fygp8uvD9dzyL3adP6/rw2Cj +MO4Rft+6Ca+tePGqN4JHD99swhGnvS4p8rE+HjlhzgUHnvp6MNXZR/r+wRPX +HFZ5zUYLg13WeTmxdk8+4kgRV4r3DgqmPjX+1oumCzz20uNf+3Tm1OCHMG5x +tTStjmPkev48mr4HiRT59U992YPnlcGTJxT24F3fQZjg7CBNkS/1wu/8uWxd +1+GeDZynQj7qzU58PTRx7rvBE9P3Gjij5J2QX2YHC4buUn75ee9KinzUw3eI +40Vc7/2bzj38u57x9t/8seF7ZGcEU6fWLNnsuLflvnXgFXgG3kGHn+b065Hf +FcE1g1bLr76LgLhc5KMe/AGI6/V2RT7sbz7Y1d1XVhHUu/vKVkoq+SEeBzq7 +sQe/Tg6qg8OcXGiKfD/v6nuTXr82hPpVU+Sf5exMfX/S69vm8F4yTZHv51V9 +j/KvTs5aguFO7jRFvp9H9X1Kf+9NKrznolVS5Hu7EXZka3ieLBPKrabI9/Nk +Rt6v9OfJ2sPzZJoi38+LsBPbQ/2dDfW3psj39NL3Lf15snyoFzRFvj9vjPsK +8uF9KmXhfSqaIt/TFe9Olck8innVn7urDPZx96tUSYp8Lyf6zq+fn+vC+VlT +5Pv29d3fgc7+agzv4WuSFPl+Htd3gP25u0SoHzVFvre3cK9HIsRPa4gfTZHv +53l9J9ifu0sH3Y7fNEX+rW7e0feh/Lm7tuB+x2+aIn9DZwe0hfZTW3j/Ukdo +F2QlRf7zzi7Q94X/4vitM7QTNEW+v2ehMzy/0hlMq5kw+HcDEBfbFZ5PqAnP +J2iKfL/Oq4683+n9WDVBm5vXVgVj3DzXICny/T0f+m4nUu/HWhXOg82hfaQp +8r18Rt/v9PH8zcE2Dj/JIOPw0yIp8r2dq+8NIfXr1GQw1eErFZ4H1RT5Xn71 +3c5xYerXqalQbjOhHGuKfC/PeGdVU79OzYTrgvZQrjVFvpdvfbdzdph6Pu4I +Lnb8mgv2dPyqKfL9uVacI85JmnJ8nRM9D73v7+3Kh/d4aYp8f/40H/K7psj3 +55Oj7+X4dW0+vJ+sNOSPMkmR7/kC91jpu6HeT1oq93rgno+Nnb6qDO81qwz9 +F5XyLg9S7wepDO/ZrAv1U22on+rknTKk853fozY4y+mnxnAd2bMOcPpJ3xlF +6s8zN4Z0TwQbO7wlwvWhvieK1PMF9FMy1E9YD7bKu2azwtTTJxnqp3Son9Kh +fkrLO2fHh6mnO9Z9beG9aW0hHfQ90bow9XSDfuoI9VNHuE7R90SR+nuKOoIt +nJx1Bgknd7lgvJOrzuAHh8ecpBc5OcwJPUAn0A10BJ1QD/QAnUA30BF0Qj3Q +A3QC3UBH0An1QA/QCXQDHUEn+y6g0gl0Ax1BJ9ANdAGdQDfQEXQC3UAX0Al0 +Ax1BJ9AN9ACdQDfQEXRCPdADdALdQEfQCfVw7rA6PIcIO/SIFQ17jZ80M3jl +oOqe9eOsYIsD1+1ZP86UFPl4h8fbl4XhvQELg2HuHoFCSZF/tqNTefClo1u5 +nGPEfiPsYtjJ6Af6VRqeY9ooPNeE30U/9nV8Uxq86M51r5AU+Svc98uDDd33 +yyRFPta9uGfY3vOxVNaFvO7Eu1vYH7tuTmKz+SuWBee5+J4u2Xe3cd+6T4v3 +u9A+YJxTQzw4fgffzQ5hfLfq78/dO35sicbTmXq6zsW6d/jwEZc/NHGerLOw +TsN6DO2gXbvfrOP9aVDl+dtlVkTG4eMSNJ4O63Ks0x8z8Qt5WbdiHct432Th +PrXLBi8Nxly69ZyzB+vvMt4Bo33QAfuWKMc6F+te9A/7mn4fdb7wF+5txP0a +fj9mvpx/xT2Onl8XyL0bvv1CucfRw+XhvqHa21g3ef9UjayLljl7rEHWPd7/ +0Szrmo2dfmgJ+5EKXnTyj/fgM8Hezp7B++Ltof8I+2TZ0C+ek3WD12eY38vC +dXWZ2Pn+PpBKseP9OOrETvf+20Z5t8TrzYTY2V4vJsWOPsTpvbS8Q+L1WpvY +wRc7PQG/cmfwmbPbOkWPQK/4fvC7h6VyXsrnl5Icl5KcV0h9nE+1cllJclsr +9X3/aykOpFbqXxv6H1Ef59ZtXEgjtZ+g+4sSdE9uQurDP4n6OPdu+5Ok/uh5 +OJyLt3ErKan/Q+i/RH2cm7f9b5P6j4X+TNTHuXob99Ih9QeF/k3Ux7l7GxeT +i8S39EbX3ug4guh2LdGtNzr1Rpfe6NAb3p8gPD9GeO4Nr3F4hB4Cvr1eLyc9 +Xy7t4Nwg5jGcH7ZxQxX0fRXxbzXhqVq+xzlDtO/pWEN0rqHv64l/6wmP9fI9 +n0vE/RmWT1bJ9z+E+5z2nrFmKQeM7/kco+9eM83D+j3ez7X6qYX4uEW+x7lH +2/8k9V/5DPuklr6tRJ9W+Z7PSeL+D8vnKeKjNOnLDMlZRr7nc5W4P8TKiX7v +56N24p92on+7fI9zmDiXKfeQGDnT732cRpb0ZZbkNCvf49ymPV+eIznNkR7p +JP7sJP7slO9xzhP8j/tQLP/n9fvd/2u5tXylchknt5bOUTm1dK4lPo3KqcV7 +VC7tvLmK+CYql4Dj5ND2L0H4iMqh7W9U7izfJal/Ubmz7UflzI43RfiNyplt +PypXaA/zsuXbqFzZ9qNyZOf1DqJXVI5s+1G5QXuY1+38GZUb235UTqweyxO9 +VE4gN/ncTVMrt/g4uCN/7ML1etY5SJHv44HwftvHkiJ/tbfwsmcnB6u9hYUz +pkqK/KF9n97std/iHvcpkiLfzhsqn9hvsvG5eo7n9y7euozGW0X8XkXyUCXf +X+/isyuJf+uJH+uIX+vk+3EuXr2O+KuJ+KWJ+KlJ1lvvu/h2vdcD85ylZ4Lo +naB4cbV7MY9Z/mkl/tF4+PtcfHkr2ZEcb50m+ylN8eg6r2EesvOe2l+A5ZyU +i1/Xe0Uwz+B73P+I73HvtJwbcuvhDtIXKg+IL8T3gPG9j//vjLz7Fcd3aBfv +gKF+HJ+hPt4FKzD2TpSvUB/vhL1p7IsoH6E+vxsWxzeoj3fE7H0ZUT4R/wS9 +KxbHF6jP74zF8QHq87tjxxPdwQeoj3fI0P84OqM+7sXCOxPwQ8AvAT8E7v30 +erIrmJb1+0Ro19dTvvB+BV0f4b1JS9dG0v9MlyThnfHKeOsgedBxe7/HSoH9 +Po+uG/y4Ggjm+V7taMRTWb7j+ZLnuyyNR+cb+BnOCM9LbHi0vxcK8xTqrfOG +v0cK9zIMDv1u8MM9dqf3C/ab8q/2fRf1sytYHMb9I64D9/DinmDk8z3E8j5Q +eG8dzvPh3jqU455inMvGvb+4Fxj1cC8w4g1xzzF+D/ca833HfE8E7n349ZZ/ +/pd10czIvRM+f6LU43si7PeFUo57Jqz926cPynGPhf1+ovwu7rFAub1fepy0 +i3sx8B3q4Tvce8HvLXE7nm9mk32ziObfAhrP/F6/A17RH9zbbfFbKOW4x/tt +6u/s0H+MtLd+AcY7Y+ArvDMGfOCdMbw79u++MwYY74zh3TG8M4ZzrnhnjN/x +Aox3vDB+vONVYNpvlvHgHS+U4x0vvOuFd7wQl4t3vPCuV2/veP3fOgds3xHT +99BwDhj4ijsHDBh62sbd6ToS719Y/mwmvlI7EXra8peuc64N9bS1K3U+hZ6W +/oTv8mF8O9K7fEH4Lh/Gg3f5UI53+ey56FahP97lQ/nd4bt89h23rLzTh3f5 +UI55+Jd27tDSq4Low/5uXsezX5T9oOz3zFB/2a+ZI35R+vI6i9dNvA7COQb2 +x7H/jP1d7J+y7WeJPxV/kCO8Wwe+iXu3DvXxbh34EO/WgY/j3q1Dfbxbh3fq +8G4dfg/v1uF7vLuI8rh3F237zcLHeHfRtq/3DeDdRYwP7y5CbvDuIurj3UW0 +h3t13jL9qZR7b3CvDurH3auD73Gvju1PWtrDvTr4Hvfq4Hvcq4P+4l4dlONe +HZTjXh2U416dt0370Xt1phv6ZQRfuFcH/cO9OqAH7tUBH/7S9fQvXY75HPYv +RS/Crv37wHXP3mSvmYFPC+W+XFteGDQOXv++p48pEXwDBr59vXKBUQ78oxzw +nB3GZM94X98lRH3QB/UBoz5gX7+e4BKhJ74HjO8B43vA6/zHX7eqXd5E5SXC +D2gPMNoDjPYAoz37fQvVL5HzZWgfMNoHjPYBo337fYvAk8Yv2mn6za30fUm4 +r94uvwcYvwcYvwcYv2e/bxEYv2fbS1N7JXKeDb8PGL8PGL8PGL9vv28RGL9v +20sLvPSV42Z/8WMbtV8i8or+AEZ/AKM/gNEf+32LwOiPbS8tMPpj288SXCLx +TugfYPQPMPoHGP2z37cIjP7Z9tICo3+2/azA3ZOLfn/QQ53UfmHwTN952/xz +wExJkf/3C7ZMbb6/6o33X5u84UVFqicaOg8ZMulc1QN9Dlp6ZleHyvVmR719 +2AtHqly+dvk/l83/q8rRgQ/97pJUqfL5krce/nzDbZXvzi9f+cCQPyndc19v +v/VZbyqe79vuz1Nu+6pLYKTo9/uXPjPqnHmq5xqm/vall89Qvdbnyw8WtidV +b42bsNt/bnOY6qHBC29Y/8gHVI/Mzrz/3GXLVO5P7Lt2D8VULuuG/v6jgj+q +nIwY/vfTS99QPl1r1KrEl591Ccx4RT76verKrQeMP1n17lozpuzf2qB6dbMf +X3zzmYNUT742KHPk3HtVzx14/NCypk9VLy25ZuSf1t1c9cb5jxd+9dsLVY5z +72z84KmvqxzdVzNs25vzXQIz3RmvqId+r339c683Vqref8rRRfX4rvdefNvB +d6kefs/hQfXmSZ92j7+vv+q1eve7qmeu2+z++cWvqJyv7fivS2DmS6Y741Xa +Cfu9+QeP/PrJoTrP9GS+/e5InScOWmfHo+sKVa9/+purKn7aWPXuBafM+PMu +w1UPdt743T9PmKB6aPTTx/xtRKZLYJYb5kumO+MV7aDfux1xatu+t+o85vlK +552Txzb1vXMDnRc8HVVPX7/ipn0+eV715DoOb10Cs1yz3DBfMt0Zr2gX/T54 +fr93KubqvFjcevZx366r89aFG75c/evTdB7J79V+9dHPqh6//8x9f/hzc5fA +rHdYrllumC+Z7oxX/A76/ftjlt9161o6r3q50HnuhkcumTjvKZ1n1nV82CUw +60XWOyzXLDfMl0x3xit+F/2+uOixEweeoPNwd0d13eFP6Dw4pv+g6y6t7RKY +9TbrRdY7LNcsN8yXTHfGK/qBft940uk9oqDz9PpOrrsE5nmF9TbrRdY7LNcs +N8yXTHfGK/qFfo9d2r/xgvIumbd53uN5hfU260XWOyzXLDfMl0x39He9EK/o +J/qNdRTPz8jHugr5WFcBxrrKlidonZKk+ilal2QExroKMNZVdl2Uj/T3l95P +nAOF3VYf7ksgRT7GAb4RfR3mox0ef324LwX/JfLhv7TruDpaJzXSuBM07iSN +O03jVr0C/yVg+C+5n2vu/0qB4Q+x68UGoncz4buF6Jsi+mZonO00ziyNMx9g +HT8u3I9CinzwGeQaKfIt39VLinzwIeQeKfLBl9ADSJEPPoVeQIp88C30BFLk +g4+hN5Ai3/J1VlLkg8+hV5Ay/4Mvf6l0Zn78pcgN+EjmvZBvLJ8lhK/AF+Aj +8AH4BnQHn4DO4AvQFXxg6ZgN6Vcg/G/9WywfhdJfsYvC/lq/VZLGlxIY/QWM +/gJGf62fLB/Rn3F4/J/p10zZbwYdrRzUixyAjpAD0BFyADpCDkBHyAHoCDkA +XDh6nYahv1f4M2ffKLzl/tf8PGZn1QuZkqf7jFrVLnxg5SgbVJxYeUDNswqv +4+wNhX/z3h7Fv7lK9ci3T155/qA9cqIvIIeA05tMfvyeVtUnW3527o33bqfl +hx6a/funbync99xDZi25VfFr+bRQ9sGR2nlY60GuLd0TRPck0T1NdG8TGHIN +GHINGPOh5ddCiSNYmb6vx1LT/r0zcqcv7v9G+3ftpbV/Sy/S/v04ZucdNt5E +13mPT712+t7naP8GrZh19LCXtX/vfPFjxe3t2r/jBp5w5Yv7av96mOLbBXd0 +kVyoH4H9xuz3ZT8t+1HZr8l+Rfbj9eY3A54eO3zlRmfcp/rpg+FnHPm7V2cL +3DQhednDB6jdNXPMFXs/v/l7wj/w08f55e18E/Wz23kj6ve280jUjww4zq8q +3zv6qb5rcOs4pdc1me+nfFaueu49tw5W/jnB0Vv55zq3rlK41tFf+f3nkavX +MUniP9WLTzo/SJr4UfltF+d3aCP+VP57163zO4hfVY+e4NbVyp8PD7vo/rvm +6HyTHHtex0U/TiW5Vz+vt0MWSDnmebuvUReZX+2+SlJgzAtWHjIC2/m1SuYF +wJgX7L5EY2Q+t3ZjSmC7LqmndUk92W/1NJ/X0zjUrrh6j36HfFO7SvQf2xOA +8fuA8fuA8fuA8fuA4/BcNGfFkJ0OVLuG7ZzjLzj364mHJEgft9C83ELzcgvN +yy00L7fE0vncxoELjr0nGUuXmnteeXDxaLW72A47Z9Aefzh5bFLmC7a/AKN/ +gNE/wHF817H2ZWddvSQVyyfXvNaxba4kFUvH9uNuabl+hdqJbDde7fRISuY3 +thcBW35Ox8rFnb8pSD26aVssH/+wZL+3BmzZFstnd1zz4X8+NbAtlu7fb3zc +4Vtt3yZ4Y7v3jreWrfOPHdtkfmZ7F3CcHG9yype3zTy/I1buHuu8Mzjg4o5Y +uej3+Hq/ev/Sjlg+fXToY8sPvaIjlk/6lW/1zEdXqd3Odvwjt7x00VEjOmj9 +nY3VQy/feMRG1a/mYvXGTpsVlZ03ORcr1y+9c9o/GqbmYuVsx+HVl/xxWi6W +z1/6+o+/bZmRi+WrHZ5r67r8XV2X8DrlxUNuei/zfrxePeDpsS98n8vH6sFZ +B/a//O7ufKye2r/m2f9Y68t8rN7wdlk+Vm73227KB+t/n4+Vk5kf7jP6oZ/y +sXy4z8UfnNR3bfXn8bpsxs9Hb/r4el3Bzg7P6j+6wfk5dX47LjFqi2knqL/i +75WfF22wm853V123w5IfmtVfMaf+lgtPmaHzUdEPzR/teoTOB3nnV1W4unDm +1sseUn28lvNbKtz+4AM3/WeV+is2v+2Ox/62u+rD7047u2S7XVS/7PbdYeft +dYPCG235210X3qDyeuhdP+yyYpbC29d/e/c1H+o645Q+H/V0UeG7nd5plvEW +O7+8zjsDnFzrPHCh84PrPDDRyYnq4bzzO6se3t/xmeq9e52fV/Wen9d0X8Dv +E6le8fOMyqnfl1G+9npe/d4HuX0Q5fPHnd7RfSe/D6jz1CAnx7rPc73zk+s8 +8Y6TA91X8ftyqpePc/Ou7mOMc/taqveq3Tyo+waD3T6S6pGr3Tykfnq/rxq1 +R6rXWzSp/AmFvT9+VfCK0zO6L9Xl+E/nsf2cnOo+0H3Oj67zxieOf3Xfxe/D +ddA8rfscft8rR/Ok7isc7PaZovZMHJ9hnD+6+a1Z4JPdflAimOn0SJrkR+e1 +YydcPeaNo3Sf6CmX6rxR5eRP92V2dft0qoevcvO47oPMceuBqP0TJwfobxyf +AQ/93fym68CL3H5RMlgUfH7KfxzbTvKv89rZlx/WdPqjuo/0ukt1nmhz+kP3 +bQ5x+3hR+yhOTnuTA/Q3js+Ap52cntV1rdezqaDS8W2W9JfOY1c6u1r3mT5w +adReitMjvclpb3KA/sbxGfC4r5uvVC/f5/abMkHa+YF0X+wwp3+j9lKcnutN +j/Qmp73JAfobx2fA8zFuHlS/g58He9fDvem53vRIb3Lamxygv3F8BjoMm3zK +9cP/rn6Uyee+8+TUa3ufR3rT073pwd70TG9y3JucYDxxfIh5/s/OjlG7d66z +Y/Ky/wB7yMcxqL1U6+ii5fDLAvb78upH/tGtM2oi/mb+nVVuf7z33+V61zo8 +qv02y8mtxiF5ua2O9Bd09XECau/94OyrGoHXdvvGWt/uv9SH+9xqD+7o7Cst +935dheGnBl8Uu7gGtQ8nOr2q5ZOcXDST3a37XB4faj96O7uF+Eph+MHBV11u +X1/hT5xeULjExVUoDL85+M7jR+EqJ3cKN7q4BoXZz74V+dHToR89zg//Ofnh +2c/+W/Kj/zP0o8f54dclPzz72Q8jP/rGoR89zg+/FfnhwS9spwHeya3btNzu +56ndI+tONy9rOfgB/HFhaEfYdZmWg/48LwM+zs0bCoPePM8BPsfpYYVB3zXP +G+ngKqe3tBz0Az3fCPUw4Nu7G8dN2C1H+675iN4C/LfZ03PH3aIwx3HDbwaY +47Thx7Ly3krzgq5nOG4afhvAHOcMvwhgjkOGnwEwxwVjnc79Zz+b3SdTOw5+ +LsAc5w2/EmCOy4bfBjDHTcMPApjjmOFH4P6xn43jzNmvxXHh7DfiuG32w3Ac +Nfsx4uLc4TcDzHHp8EsB5rhx+HkAcxw3/CTcPvu1OO6c/UQcB85+lri4dfiR +AHMcOfwwXM5+GMDYR/BxOR8JXL38m7OSr+v+0s0L9/xq2t1avm7bX/66cvE8 +ga/54qj0r7pQPjPUe5ME9vtZGnfi97O03O9n6b6838+aHPzk6Kn7nXH7nthn +xDuFvN/F+yNs7/A+CuyWx5wfso70SaPAHHcf9zuPO76rI72gMH7H+8F0P9LG +ZdRH4vpl34n2fbHPavWIwvidDifPat9gP4LPCQBG+7yvjH1c659XGL/j5VPX +nXb/uSVyLgHt87613Sduieyj4He8POo6EP5/PucAGO3zvjj2oa0/O01yD/lU +fx/884D5XAXa53137HNbf3Ib6YG2YIiTZ52f4S/ncxpW3qP7+thHRz3eV8Dv +HDX4kVffOU3XJdj/B4z2OE4A+/Kox359tIv2OB6V5bpz3h8W/WmB7hNzHAL2 +/dEOt3t2x0U/nj9e68f5nfF754//1b7B7fr7XS6etys2HzDkO85vDXmM81tD +fuL81uD3OL81+DPObw1+ivNbg/5xfmvQL85vPfSVkppNN1S8X3L/XXM2O6or +Em8XV+94Z+/qetX7SVSvYp8XeH3fpaqfsc9q/WQKnxvuawKv9zo/k8LYN7R+ +GtVX2Iezfg6FsY8FvPr+KfxCuO9j4xcVnh7uiwCvzS5VGHFYmDf9+SqdZ318 +gZYjLgfz5n8dR6LnO/3PLBXYr5sVvsmtszWud5Djh6X/9ncs54DZr+75VNdn +7Jfezfm1FGa/rvf7KMx+0d87f4nSn/2KF7lzArq+Yr/cjW49qTD7tR5wce4K +s9/nmXGJg9bZMU/6tbCXuJHyXuXm/+9xNXFxRVjvI9+fo1A8DHL013Ibt1ge +nOR+R/Gwi+uHllv/T8+85H43Sf3ScrveB55TRAeFsd63eM8QXRTGet/SoYPo +pOVY71u65IhuCts48x4+cnTKEx2j8azsl+zNL9ib35LpWuPmQ7WPvX/636f7 +T27cCu/q8PLv88UTDi8thLd/n292dr/XSv359/lqlvu9NPXn3+e7493vtVN/ +/n2+rHG/l6X+/Pt8e437vU7qT+98jXXdf5fveuOj3viiNzr3Rrfe6NAbXnvD +E+Yja5cUBn3cQv4UgSeuni6velLg57/cv8cCfEXg0avN1d2firQTVw9wb3Gz +sIP8emB8rJ3k59PnKZ5O9xn8eUCFeR/C2ykaD4/7igH7878K70b7EN85v7jG +z3s86D7DFm4/MX4fYoCzczTe3qNR9xm8H0xhv58Tvy/h9aPG63t9pud1XnZ+ +LYX9+dTW2H0K7+dqFbsI9xEDnuH8WLo+8ftA8fsWxzq7S88L4D5ie15T4eHO +DtPzALhvGLDfN1L4SmeXZWV9gvuEAY925xEVHrlf96DX9sor/5u/6cJnuD8V +9q2ns8ZnezzruR3cbwoY95cCxv2kgHH/KGDcLwoY94kCxv2ggL0/UddT3j+t +66c7nb9X/cOer3R95P2duh6a7trT9c98t3+k/ooqt/+j6xus09kf4PlZz33i +PQbAeI/B4qWR8Jig+knCa4q+byO8dhBecZ5M4+09vSvod6tpHDX0u/U0rlXE +H3yerJna4/NlSarfSv1JUX0+f5ah+nwerZ3q8/m0HNVXOuKebcC2n/+Lx/8u +HvGuE+57ZXwiH/WQDz3k8TFa9I+143Q/Dn5WG1es+2vWT1lF/s8q8fsBhl+O +24d+secO6+ncYT2dO6wnv2I9+Se1PRsHrPtVaA8w2gOM9vh76DvrV20hP2gL ++Sm1PvQj6gNGfS6H/rT4U9jOg9WEX7U72K5gO4HneZ6neZ7leZTnSayrbJyz +7o9iXWPPIWjcF9YVNi5e98dg10t/3Hyl8+sTbn9U51e/36nzq9+f1fn1rtZ/ +nP3gRqoH+m+YbHvzLJX7V/ba846yF3R+3e/Mv/T7OqXzxCe3fvzStnurHJ/j +/MX/co+Ts4sPFzn09u2TAou8O7+Wznfer6Wwj0PQcfo4hFKCK6i+zpfeL6qw +95syXEv1Ffbxb4pHbyfUEryK6ut8PNvFZyns97EVXuzwqPP1Be7+D4U7nd9d +4fMcnhlOUn2F73H3XSicdX5HhlNUX+FN3X06ygeebxhuo/oKv+rut1HY8xnD +HVRf4QPcfTMKe75kOEf1FV7s7n9RvvR8nAvlhe+RUtjHzep5eC9PWu75VPnO +8/G/zONO3vR7f48It8f3Qum87+NGFfbyq7Dnc+VDLwc11J8a6m8NtVdPv6ew +j5vU8/4+PkNhLyfK916OVlF/Gqi/Wn634xu1SzZ3fKPw644PFN7U8YnCnzq6 +qhwc4Oiq5a86vlD4IMcXCg9w7bX8n3aunjWKKIqC2FkohIAKooaAjVilsZoi +URat7BJILEQlaPADCw0GQQMiFkklRCGiET+bhGCjRZYESaOorGCzCu6aZN1s +siL+AeGduXOcM4wX0glbDTczeffuvPfuvHfOPU/8VeX5qrRHG/OU8wjz+LvE +U5V4eX8qtLck/pbk+WVpj/cxz3kfeWBZ4lmWeGl3hfZWxF9Nnq9Je7SRJ2gj +j9QknprES3sxtFcXf3V5vi7t0UaeYR5AHlqVeOoSL+3e0F5D/DXk+Ya0Rxt5 +inkGeWxN4lmTeGmvhvbWxd+6PN+U9mhjvNDGeGpKPLRxzlh2P9LKg6082MqD +rTz4v+ZBnGfygfkk1BXQPhvwTfLwr0P9yft4HDWl34kv9Id++Cn9nsUfNtrO +RuNO8lSqXu5tVAh5h/ukCyEv0cZ+kfsenPPKvIvvAPc5+A7QRp7mvgV5mvtJ +jIuK9GNF+m1J+pU2xg3nIcYVbazzuW/AOp821vUc91j3c5xiv8px1Rf6hbae +263ncus523pOtp5rredO6znQeg6zxyMBz5jN8D26z8b/Xc/dd4NXGk1sratB +vSn5I8X1UT/LelbUy07n/t1sizu8tr/O+dA6WNSlzGd5KOGVlCfyeB+Px/F4 +GeVZlEdRniRZHwgPoriN8iKK4yhPoriO8iaK8yiPoriP8iqKAynPoriQ8i6K +EykPo7iR8jKKI7Xy2sbymvJIHo6mPJOHmykP5eFkylN5uJjyWB4OpjyXh3sp +D+bhXMqTebiW8mgejmU8W7qfs7iVrj+UZ8rb96luIU+XYHZaF0ZdouoU94U6 +RdtPlYWPKkd7RJeI+lny/8ZP5ekQUcdIvt/4KrNVd4jvB+uDjb/K0xmizpHn +8xmflacrRN1jTXSA/C6MhrpH8u9pfqsR3Ql1j2ui06Nu71n71KbHJ5sZ3cq/ +dSkLCa+YrlcpZf6O87Z5TdY7Dg7v4eweju7h5B4O7uHcHo7t4dQeDu3hzHbN +w2U8nVCeLnhv0ENwfqnutyfoC77m6nqhK+P8Ud0udJecL6rLhc6S80N1t9BV +cj4MB90k6+ehi+R4vz9y4/B6senqsJB3sutCs6Fr4H17X8gPrE/CfC6LDpXv +A/mB9T94nvU7mN8rSbvmx9pN571vwu8xL1m7aX6P600bB1gPzyRXXT+j/nk+ +KsTX9H7A6jtL0ZnnX0pdB5iXRvZPTn6+xPXq2PTA4JVX2fVqb/eJ33c3v0vi +blvtP3jsON/P3KGJvluP+H6GHn4aLv5YiY486Ng185Txml+Lw/xaHObX4jja +c3pr206+3+Kpjt72J3y/97rPf9yyg+93dxyXxbkYx2Vxnovjsjjtd9nvND9X +C/Brfi4Owa/5uR37vby9MtA5rvl1Vn73QvRm7tr4y8H56Fd81f652flicdtY +KfoDvXPTDA== + "], {{ + {RGBColor[ + 0.10372206117797761`, 0.10436141743811188`, + 0.10500994850363238`], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFUjsvbGEU3Zi5CnPMuc4cnJnTqLRIUHlG4ZncaCQy03gk93oWGImCn4JC +KDzHf9AQj1DdwqsjwV+w1qwvUXxZ69vf/vZj7d00tTy+VGlm4zhVOGsJsyLI +OoxzEfgvs3/Afc/sMaU3S5odJ344fXg/rzG7gE8J9ig2GwVvBBZgfwJvgH0G +/AN8rEL/GZO5+L5eJR/yPk93D/FXETvLmpCnx+VmneXcsHfWmnXg5PGnH6eY +0N8CeK8nf8ZoTyrXVTVqq5bPUEp2vrOWfI183sFnwUcqXG7Y7k2xGLPoahtM +6W9dLP4beIOzGZj9B96irlyoWo59xAr1P4u3MfjngCXYo1C1h7gPw14PDGLV +lwEe4hzg/Qg4H0mLBWAuJ91j4CviTGageVI6U2PW/Az7REYzfInU+3Ok/smp ++WrW7BJ8JSs9yKkxc1Ivaspz5XSjLtTnAfHv0ONgRvrTVnB2ask6WAP1yzvO +fNwR+rD2kps7++ZMmZdzLrjZdafNlgLZFgNpyrdW2JcD7dkdemxGDRucTR12 +LK18nB3nU87vaU/Yx4Dj1Iqxu9KK/wX8TKuHNuBWoDn9Ae752t1t4A7OW0p+ +Da6XhUB/6D8dah6MzzydLle764/1/IX/qa9d516c+NoN7sKZr33YBY4G2kfG +GXD7/YY9aEG/17H88s4eh5pH+R7Lfw34DbjyeGI= + "]], PolygonBox[CompressedData[" +1:eJwlkrtOlFEUhZcwYCG/M8yFcZi/MbGHhliBQihQIBgbEgIheOPiAAnOJaEg +oeEdNBZaGCkAFV/AykYD4QUAYyUJ+Ap8K7s4yb6vvdY+d5+tP11rk9THy/Bq +FanVKR3gLGEfpVJ/UbqXk8rYoz3Szy7p+y2pWpUus9Lb29IL/FneHWomyD/o +kN6XsQvSdl56Se6C+DAxkXuMXaL2DIxyO3U3pT/Y3cTGyCXU/KB2hPeb3G4i +7Rmfec18YJ1S96ZX+kV+gPodat/hr7DTFnXH1J9XYrZneNZf8vVMYOTT4Giu +TTivYL+i7xyun8FrstcY3Be6pftwnCW2XIlaczAXczRXa/aaXJ2ZTeaNuj+N +3ucldOmIGRvlsCfB7yU/yK6rYM4lMWeD/RqZ4FTH/sAu4+THb0j/6PmEP4U/ +iX+Jn1bjFtbQWs6wb60Q840zD+YS/jDzz4hdZSNme46+njRuYUxjF/EfdYVG +1sq3fVIILN/4G/hpKbQY4U0X4ya+hTX7Sn4Rv9UemLYPc1HrWCMNbbybtagy +64D8wyQ0MNePufgr5uyb+rbeqUDvfhp/wRpb6y+5uJlv5Rn+a/+zwc1/bp3c +UDa09b+0dif0bCah4TUFeF8o + "]], + PolygonBox[{{7195, 3149, 4991, 3946, 6810}, {7191, 4132, + 3889, 3148, 7193}}]}]}, + {RGBColor[0.16675207, 0.1782183925, 0.1898492575], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJw1lktsVGUUx087HW46nWkLtL29t1cTXSk7hYUaURGjiZhgXNUo1JjpY6ZI +gRZDNMakCQ/Fhbps3Ipg242xkBZLi5r4CPGxARMx0BQ3uhJEd+r/l3NcfPnO +fN/5zuN//ufcuevlief2t5rZT1olrbU2s51ls4b2PZ1mW3rMmjWzuW6z3l6z +RySvSr5P52OSvy/M/k7MZnKz3yTfr/MftC/obSr9vdK5IP17dT4iuVNyTetY +h85Ts6p8rWhf1/uOdrMevT2t+z69fVj61yQ/q7enJK9LfkHyY3pzj/Y3NpuN +63xrl9kByburZv16d1a+h2ruc7nb/T7a5e95+2avx0ds1zKzXYq/GDC7qPvX +Zaeh8xuSX9T7HdI/qLM1/T6ywaze63ecg8dst2OCz6d63O/Pymeb7q+mjgv4 +DCivVGuXYvxO+2HZWhLGp7SuVMwua9W1PtH7m9Kf1/kf2r/Qel/ypsLxAafZ +itdnoUU+q16zZpvnA2Zzku+W7p+J2+ddRWtSclZy3V/0dkq2vpXOIe3HN6kW +yuWo6pLofkbraovLxPVpi+uh36dYprR2ytd84bU60+2+68LqY8nbJWeRL3kT +85FW9zuWef77tFcV11zFc9kq3x1l931LfoYrHsNrsrkim6M15+Pn3c7Jh4T5 +g1HrrxPHgtwGVEuV257oc56tVT1vcCHGoZLbrod97on3JZ2/pTenFduEYqu1 +e45lvZtTDuek+3jqPvENBy7qfLvkVe0PaB8MXlFzuPlX4vqDNa8pv4n9duK8 +pIeo05dameyNSmdM66NWx4T4iR3c6BVi7y85dxa1Pmxzv3uj7nBxKHy9V7jf +d7WPKJ8p5TWq/XiHYwnGr2TO65WIHx16hJ3f2CQnZM6xTT7YP9Hh8REbNZyN +OpLPSMXtI8MBeNgrH2d1vyN1nhEH+OeFY3wodVxOhE1qhB1y3Fw4f49J587C +e/0O7eO5Y7dP+4HceXAw954ajrfENRf8q0evwWewvF51PAcjL2pK3ecrzk0w +vhx22K+EzJujET+z4fkex7ER/v7HZD78Dsdb/MMvuD4T+ZDXZO61A1d4yB29 +gB84SEzngqvcwwlybUZPc18NHXzyG7/M8m0xz1flS9e2Ubg9nbj+QtSDujQy +x4O88Fuq+Nx4p9XnL3dgdr7svEBuq/hMIAfmFPw9Kf0f5eNX4fJ74Tbaww54 +soM/c253EvmUfdZwTu/QJ3Di1ZgzUxEzfUFvY5O5Rj4fpM6v/sL7Cb7Bu1w2 +v0q8nyZyl/dr/ybx3IiD2T/d7rbJgzuwwD46k9FnnKPPIhdyJF/mMzmj2xb6 +SzF/iQmbnPOempSDD3Cf/oA/IzED+N0es5q84D7n8K2Zu69G7jOIOl/P/B5f +6MCdm4Ens6cZ84c6Twc38E2PwU/0wB/+EBe63C8X/h26UDhX4WISs+t26MxH +T2F7JHrtVsSyFHPpRub21zPPHxzBdjEwQoabefATLjfi2wT3nwn+z0S/gdWT +qu2lmJF8p5kVxFQOzsMZ5uT5mJXYHotvJWeTG5y7nF2KOUssfI+Ihx5fDB7C +yWbiuRPbWsRHvblDh35O4lvJHf7wBU9OBs+nozfhGDOOGA8L22Z8B/kekms1 +8h3PnDvwejjzmOvaOwvPv6uI/qi4LTiMbfqCfJCJ4UzqMb+tb9py6ph+lnpc +o5HjWvz/4X/Qv5nn+0/mMXMOZ+BvKTj8HwW8UOk= + "]], PolygonBox[CompressedData[" +1:eJwllDlMFXEQxkflScyDx8J7sOyyFsYEbT0qIx4hQIEJxArjAeF6HHIFMJ6x +UtRGLS3UjoBCY6ExCoiaaIzxKtUoeBSWaoyd+vucYpJv5j87xzczu659aO/g +SjNrRgqQfGQ2ttpsBqUDvITcWWHWWGi2DP6MNIF/IBtCs3NlZpnA7GwajFRj +u5cyK0LmwXUVZluwTxHzPDhIzBqKzJ7y/XBsVoH+DHybHOWJ51TuUfy7wLPY +aou9hhnwJ2zRKq/hC3gQKcS/D/0vOKnyWkvopQrcG3nsceL1gQ9Hjif5ph88 +FHltiqFYOXKk15AfPQs+TI2PiZdH7wF3Rl6belSvU8gecBqZAw9nzXaSfBd6 +E312oM/Azw56aKPueWLeAs8S7yL4FO8HM9SGrR8pxUa5/2soAx/jfZ7vu3n7 +SR0NObP2UrNtfNOK7WrouTSzbmqrw3+CmZyB8yXyt6N/5PtJfFvJfyLrM9Os +erG9Jccb3n8T+yW4jbid+NTwtsz314i/m/hHiT+g3tGjlHPSDx9j6DH6VuRd +6LE25rwXxdwH7qDemozH2IS+Hp9GYvfgU89OPIeLevQM+SsTn43eI/DaxHlU +j+r1Av7LBb5D2qUiYt0l9kTae74f+iy0c9q95pxzIi7EwY3AZ6JZqMfpwDkS +N9vRiwPnQL1rp1+RYzMxqrEn4IXE+1A/i4nPULNs4dvL4EuJY3Em7gbgqIf3 +J3AxBB6MHYszcVeSeO/yka9uSrelHZnj7SS1LQY+q1/YqxLnNYV/nPhOajcf +YesDj8a+u7qpMfCfyG9DM9PsemP3/Y5cAY/Efou6Kd3WeOKxdXNHwNf5pjbl +nE+DFwLfSe1iHp+Hgdeo2rTDLxKfnWb8Dbwf7vLMvyXjM9TudpY7P9rhA7yP +ZJ1T2eR7mvdDxf7N+9B3SzWoFs36eNZza+YLof9rdIO6xTnyPgh8t3QzN8GV +5X4rusEP+HShf8X+mvpC8FTgs1fOf5mPp8I= + "]], + PolygonBox[{{7196, 4134, 3891, 3151, 7198}, {7360, 3645, + 4451, 5477, 6110}}]}]}, + {RGBColor[0.21125345, 0.2303639875, 0.2497487625], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNnHecFFXWhrtnhtjTNdNNVw9QLZJBQQUTORoAc85pVwRzQl1zXHPOCcxZ +V91d4xoxYVhzRBRzWCMIKEj63mfe48/vj5r79qlbt27dcPKdHn89ZJuD63K5 +3P7tcrl6lc8WcrmrirncrfrRqBsddfUTvUPgvjmXHYLeXmXboLcJ3Ed4RV5/ +hL/LmdYm6nSJtjoHned/Er46y+V+0buvUXmlrvn0Q+Wmul4R3kzl9+pXu6jP +s+3iXaPybof2L1W9n1X/MpV50ep09c75ffShRWVFZVnXajmXpcAL1X4n4YXC +Y/Ou90edStDB1Omfc9v56MPovMerX4xPIfrTEH3oE/Xroz/fFo1/EB6Zd70/ +6jQE/aei25knfC7fr+86T+X5un4QvkDl9boWCd+gcpXGXG6K5m0fXQvU5i+6 +vtSz03TvE9U5QuWRuj4VPkrlCbq+FD5R5QG65ggfqPI4XV8IH6/yIF0fCR+s +8jf1p0X9+VVtHqW2NxHOVPbTvUdVp7/KXroeFu6tMtX9muqurmtV/X5Q9O4q +9xC9Wmf62ERzo+vFoutXY8y3V703VH8HlffpWi58v8p/6loh/C/eqatO3/wf +3sl8Cz+i8kZdv6rOTSpP1/Wt8Bkqb9e1RPgOlXfq+l34LpWn6fpG+O8qt9X1 +uvB2KjfX9V/hLTJ/B/0TzO2tP++LPlnlrrreFt5N5e663hHeQ+U+uj4QnqJy +op6bpKtr3t+XxrfTFmuvq8r6ai63dqpx1+93m3O54ZVcbpeYx480NkOi/Djw +KNX7UHgT4d91LdHVS+3MLboe867mWulqKjdM5WJdPYUXqfxVV4+cy98CLw56 +z3ju98CfFF3n66i/OPCyqMN75xTdn4J+r6e+vSc8UXilrq+Eh7MWVX6u61vV +X5o3HhblF4G/Kbo+fOO7ovcJe4H304+h0d7X0SZ7iDojhGer/EBXB+FhdcaT +hD8r+tmv41s+jXYGq847whPybuN/0Q79oX/fBh9bGd8IP+M3+xc+wt7XtLU+ +k4t93UnXfP0uqzyCvcv7g8Z+7C48RmVz8BBo82P85+u9TaL/kvP9JOrATxqD +D0ArBp11A+4S9OZ4thjP9gt6U+CF0QfexRjyXYwzY7Ew6Mznsvj24YF7BX1p +rAfGYHmMA+WKqMPaWBR1KrHOOsU3LgxeNEaL/nnti7GZ1+mCoFNnQYxPKfgz +38hanxf0jfTMi3p2Y5Ub6JolvKHKEZnl1kj2ZdFrr52eOb7gfTcw53Ji4OEq +R+h6VPiR+A3mGl1n2sioc3fOa2hk4Beizqyc70NnzUMbE/TT9P4NGPe8y3GB +xwSmDuX4wHdHH+4KOs+UVH9stEm/Nonfj8Z7RwW+QNeawhfCY1X20LVj4O66 +lgu/rP6sIrwUnlNnPClwLej/LfpZ6rOPR8V3DVC5hq5TRO9W53Zp/5R478kq +3yq6Tr3q7xD1qDMp8MSc+7JqvHd83r/BfN/YGB94Y0vwf/Yue7hD7L/hscZm +ao7bis8/o/IpXW2En1a5Tp35zoyc8bp1XgOs2WGxJrm3vujTg58MjTW/s941 +VWvl8QbrFMhjZPFtbdUWe1V4c+lH6wl3E96vYy63r67F7cx/RsReYP0OibXK +Glwv+nBXvJd5HlLn7wKvpXKQrjZ548Exj/CkwUHn99p1nmeeHRpjsnHezzIP +06POjJiTtaKdQYGpAy8eGnUohwTeS/TOwgOij0Oib4zfOnV/vn+dqA+vXDfo +h+W9pz5l3ea9lkbkfHUVHq5yzzrL+766f3jez3ws+tNF62zobo8XzT9HRHvI +Sdp8oWi9C13stA4a1w6ehyeL1pGYp+eK5nvw1KPiXegngzr63bx3X11T6V/e +PHmKyt3y7t+n0d9niuax6HG0sWe085+ieSDrb1jOfee5E9FJ2Rs560KbRruT +dU0Q7sx+LRivqjp/izpZ9IVn6c/z+p65ur+KrgFax4/pmYGsZ9a38LoqHyia +B7K2Hiqal7J2HylaFrO+74hvR6/YSOXGuqqsKz3/hNoZlLmfR9ZZHrHPjopv +3CNwNfbz6rFmKAcEHhh4Gu3n/RsMbWDs/X4q++vKB14t6rxRNIbeU2UvXfvk +zBe6Bh+gzALXAjMv8BGega9MDsyz06J/h6vcMO/3Qu8d7fMcJb9Xst60Hu7Q +/l5fde9r8F7+KOdxZU3sFmNzRIwP5ZExp2MKHs+S6AfnPb7v5UzbKOh96/zN +9GuDvN9LH/oHnb4N0RzMVFtDM/etT9D3ief5vsMD085rRdeh/7e3NT+CF8Gj +sIVY/68Uzd/h4ZtI4as0SV/Q920unAoXhH+QMF5dnVyJjiO8TPr2ROmW3wj3 +E32Z6GOFO6j+HqJ/KbxUdTYWvk14nvBg4ZuEfxJeS3h7KThHJx7H7YQ/aTKv +nCL8qfC6wttK+L+e2E44Q/Q6dX6avv8WtfOz6IPUzg3CPwqvKfyT8HLqC/8q +PEh9a6PfO+tbuqjNJn3L2aL/qnZmqs87iN5Z9ET0M0RfKPpTop8m/IvwE8In +0GfhR4XnC6+hNuvUJsrx+sIF4aWiryPcXrij6COFS8JthIcJJ8J1wnm9axv1 +bTnKjfBW6OfCK3R/M+HFwiuFtxCeLvy98EDh64R/EF5D+Arhb4VXE35VuKva +/1l9e1t4FeFfhGcJtwj/INxL791IuKueeVD0pGRd+RPhXsKLhR8TLpWsE88W +7i68qGiZXku8Hpf8P71sechS7IMnZNjsyH5tsT6LHKuGzsA7kdW7qs4A/d5F +5Uw1UClZV15VDWxQsv3WT3hCye+7T3UKJevZJ2nej0m8745lHDQXD4t+lfD/ +RF9d43CN8HfCA4SHqJ0t9Wxv/V5HeHPhnqw54U2Fu1NPeJJwN+E79Wz7ku2i +CaJ30rx00Ho4T/TFetezov+N9oUfRC9Tne1Vf3U9O0J4a+G+wmOEtxXun3iP +Xqm6t6g/W4leVZuNanNb4RbhYoN1JNpAL5siBfxO0WZoDJvYs4mfRQegbWRv +s3C/xH6VEvxQ+LZ66zm8Ex3zJbVxuPb4DnnrCENC1iOX7wo5D0/gu+F5jcyB +8I315rGMDbz52pzr36mrLPoA0W9XnSI6nvBNwkuxHYV/xybT+PzOs+xr7dm8 +xupwxkDf2174GOGrhTsIHyv8nOovYvxU/xHhBcJDhLfRXG9dtjzLsyfYZ7ou +U51vVPZXnfY5206ssY9EX8L6FF2ivdVHw72X2eOij+K7hH9jfhhP5lR4nPCT +7HfhYcIJ+0T45nrroqwX9KODNC93aUyvU6O7iDZS1+ZttDZztp2wmzpLLowQ +/YkG3wfzDPrD6MR6QAH9WfiGes/Ri7puR1eM72Af/VV/alobZdF3E+4q3Cy8 +p3AmXBI+XmPzm/Be6kDbeI79eCHjr7F9Xu+5BP4sPAtbNmcfAepRY2D6vZv6 +smvi/r2pmxsmnn90D/SOOTnbXui22F8rdG9T1VletG7J3kKPe539kHhNvapr +fGKegUwZl5gHvK1ro8Tj+lLR/hp8NfNDz8XOPRkZoT4/VrQNPjHxun5X18aJ +34ldNiHxnsBXMCnxHkLHuaLouUNPubzo9YluMCx0rVafXNE6HuWiwNjL8Et0 +tl+LvoePDnt3ftDnFe1Hmxc6Dz6ssaEv1CfWScoqK4ntnVRlS2J7BLskDdyU +WCZ0CFuwHPU7JcbsX9prE21WEz8Lf8CHRx/QdRcUo9+h5/wespv9CEaPplwW +dPTb54t/+gSeC7yD2l5StP5G2z9H+602X9F2HPMOhodT97eoT7k4xoH9iTxc +GbpTLnA+9i6ygzZWRpsrtRC7sKfrvQ7g/fS5IfH3bxjrijVFO+gE6C3v0n4H +6zFtkeNV6zIbVb1OWCPYO6+G3OJd2JSsO/YytsCsmF9sghcCY8u+HN+4R959 +oj/bJV6vn+dcvhgYG5f2+a71ErfDOKBn0Wf6z55iPzGP6K3gP3Tetol13XaJ +MXTK9kFvTKwvYPc1J143f9heTbF+sMs6JP5eykLgjol/873sO76dNn8sWt/7 +Sf3vqDJTnevrTUNHGBk2WWO8t5gYt9pqidcM++VAlQfrWtLONtEpMSb4xfsE +710zsV0xLOwL9Cb8ZovjNxhbDZsN39HCsEnw4ayV2F7CVlojMR07BfsJOj4l +/MSXFs1L99Y6GIKMFD5UusUw4UNUTmkw7if6NP0eIXx4zf7ji4tee9hrz8a+ +5j0PRx94z2PxrkGJ+4ldiQ2F/P8sdP4HAmNvXVa0DMUvdXXRchnf0jVFy03s +TfRK/JCDE//+w2f/ZNB5zxMxJgMTt4+9hk35TPTzyHp/y84q10lMh0dhC8+M ++cUmfjrw2okx+7opbFP8eDto/saIPlnt9NCe2rFombWa9uaFRY9fKnxR0e/s +J3y+8F6i9xe+oOix7yt8nvDuDbbLPw1+21P0s0TfWvQewmcKb9lgv2K/kJtT +ND4HFe0DIZ7TN+R3d9U/Q/QtGuznXi33p5/7D58lMvXU4EW9VP9s4e1Uv7fw +OcI7CvcRPld4lwbfW0O4h77lL1oHa/EtKvfXtZ7wfioPqnktHahyZ+Rj0TJ9 +j5qf3b3m76d+n3q/g3Z61vsdg4V7ocPnbOMje+Anu+e9R2hrl6J9RMQ3Lil6 +DzJ26wj3Fp5cczt7q5xaM31KzTwEPoFNB5+Bx+wTvAg+hJ34P/T31O0NlVAd +IL54mNpcX3g14UOYR+GuVdtNA4VXrdruGCu8jvBbjJNw96ptkDHCawu/Ifo3 +av/L1N89SvRBor8q/J3o36Qem9GiDxb9NeFxwusKvyM8Xng94feEv1X9r1KP +2TDRB4p+OLab6N+L/qPoq4u+StU25trCfYR3Eh4k3Et4O+HBwr2FdxD+GVtH +z/6kZ1d2sYw4WOW6qtNPdQ5SnQHC3aq2DdcT7i98sPBawj2rtstWE65Vbbf2 +F86qtlvnq/2f1P48tT9P+Efhn4XXVJ0eVdtx6wj3FT5Q+EfV+U51fsB2xtZJ +vaeGq84aqjNNdQrCK0R/UnPYSbit6EvrrBAtx06QnrkS2xr7QXiF8FJscuEl +wr8KNwsvF/4du124j57tXLUtvAhbUPSFem9P0dOq7aMewpWq7aZVhctV69UL +VH+e6v+i+t1F71S1jVkRbifcILxMdZZgI+ldjaKvFJ6pPhfLVmRfEf4a+zL1 +nhsh+pqiH6FnRwqvVTU/GSK8uvChyCDV/zYNfiJ6l6r9A72FW6q2eRdjj6pO +k977m/BC4UQ4UZ286ryND0W4Qfh7+KV4ysx21hN+Vf0Fqr9IuLnsOBkxsib8 +CcJz0MWE2wgvwPcjXK2G3V30moJvzE5ty2HH3Sz6ggbLnVuKHmNkDbFQ5mds +veOrzOGGwt3Ei3ZCZtZ7XbI+D1H5k+gtunbHN1L02MNbri96fcFbiLUyt6OF +N8OGTS1j8f/0DB/Rvl39zQeqvFHPzm8wP7mh6DULXyIGy7yNFO7c6PHYTbgl +bztBVVvjmYtF37TecdHfhbfEPhJeLrx9vX3nS4W3Fu4ovAy7tt7x0t+EJ9U7 +Dv+r8IR6x1qX4E8SvhWdrsHyC//X+7r0s9Un9l7YAsgl5NNU1fldc/ebvrek +flf1ru9VeVfRy8IrhHesd4y0rPvD6x07pe7Qesd+2R/rC/+m+r8VzAd+FV5Q +8D79ILWfCx/XYr6rYJ6wRHhlwTyzvfrzP+EZ9Ef0+kav2y313BapdZZd1c9t +UusLu5R8Dzq0rYO+Qs91avReQK6OCNm6Rd7jwPcv0/1Co/nhUpXtGs3Ddy55 +7pl31nWatz78udbQFvp9mOb9F9aS8H71jjmzV9atd7yLvbJ2vePY8JLx8Af0 +cF0HCO8EX0+tL8xJ7RfDJ7ab3rt9ap3lw9T+C3wX0LYL+nK10dRonvZRal8b +frY99OyuqfWU3Ut+B+1D2yXov+C7Sr1eu2nyS1WvjVWEm6ue30TftAzfA2OC +vyr1fM8oWlZ0Zy5Uf3zVa/Qd1XlTda4R/dLw0eBDeVv0N4SvFv0bjdt2avdb +lXPU948azHuJL3ULH/KF4T/CF/C+6nzQYN4CLxyfmh9emdgfhB/n3UbLty/C +1zwhZxt0C/VtXNX75D314W3Vn47vTvjl1L6L14RfSe0/eV34v8KXs4aFXxW+ +grUq/K7wdcyv8Eup/RjvCr8lfK3wm8KvCV8p/Irwi6n9Hu8Lv5N6DW+u/oyt +eg9vJbxB1XvpLdV5XXWuwpfC2Bb8rpdFn5Xal/JKo2U+MmuSaBNT6+k7lfwb +fGHN+uSTNfPj9VOP2xMyDl7Ws3eo3LuL/VRTu5j3zM45P+LyxH40/FkP615n +zdEjKqcXLUtXVR8+Vh/mNnj86zqK/3d0DGS38FvgU7g4sR8QP8XbjdZB5kRM +oGvEBQ7SnnlBzzXpxa83WsdBfr3ZaD0ImbJ9YjsQO2e26B82WEa8n9pXjp98 +R337xql1dsqNAr+X2p+ILxHZMjz1s682Wj9CbqLXfhDfPqvBtu6HOfvxt895 +HTW0eA/cq3GYXXK7tHkttgL7RuNwROiZ6N+H5M1PGYsdE9v56Mqbaa7HVM3T +NxYeVvU4ThAeXjVvfU7tz0wts54XfoZ9iv0i/FhqvvqE8H9S89XHhR9NzWee +FX46NW95WPiB1DLoGeGnUsvEB4T/mVqe/lP43tT9/7fw/an38gvCzwqvJ/y0 +8BOpZdZTwo+n5vMzhZ9MLRMfFP5Xaln5kPC/U8u7R4QfTC1Pu+gbG6uWZZ2F +C1XLoxbhjlXLu6pwh6rlV024qWp511W4WLW8S4XbVy3XFqr9+an1gEz0pGo5 ++Jjoj6Tmt48KP5RaT7hC+HbhF8k3En44tc7wlfDnqW2lDdTO+lXzmi9F/yy1 +3fRxap8g/kD8W/hh8XFhdzaG7TmnZHmGLNtU7YyuWu5uIjyqarn+Ucl6DDrM +JyXza3j1pyW/g/Y/LpnXw+cn6dmRVcv1L/DHp7bLPix5D7D+N1KdoVXz0A2F +h1S9Tz5Tnbmp/ZafC3+S2rc5UXVGVK0fzC1Z3iBrXhJ+IbVP+EXh51P7ZvGj +4xPHH36l6HekjpleLnxb6nwMbKmOYU/hGyiEf4A8RPzm+Mynq/4/0IcbbZeX +wza/VvR7mEfRZwk/l9oXfbXwXcLfNNq/iI8YH+NVot8p+kuNtvVLYe9fI/rd +on8r+r+E70vNr/BrbR6+rT1E2z21T+V01blC+OiC4+fE0bEdr6lZtl2rcnrN +OuiM8F3gt0BXv6VmffFWlTfUrOfdWLOfk7wX/FrX1axHXl9zbLYl4rPXq50T +Iq/lyLx5B/FyYsvEmIlX4mftG75W/ED4hvAF3VSzfnmzyml5x+O74J+rWSe+ +XeUdNevEd9bsV+4evmV8wD3DD4yPCh8Wfir8u73Dx8sY9Q/7Fp/YwLB7iVeS +r4lP46qa5cHVNfs58YGOC/2xIXRI/KXkPM0L/zV0qQy5u2rWQe+u2R9CbhO+ +UHzVXcNffRw6oK591OYNKk+KOP11BccuiMcXdS/R9TD+nLx/k9eDvxafLz7b +GQXHPYjxkqdDXg45Oegd6Pvk5pEnVIx2RgefxreBb5x+43+/p2r5NKhmnzz+ +fuJwV1QtjweKvlXeMhRZMifGADmI/ES/e6LO/vLVw2eOHxF/In5FfO39w99O +jid6E7KeuATxCeIt5DOig8CTyaVFN0EuHJq3vCFm0BJ1icPsnXefsC3ICUXn +Yl9rubfGLWgXnzd+cPzeB+atB5NvcEXNsu1Klafq2UMLXpeVmEOeJ3cSPQX+ +QO4k+g579saq5euaNcciahGPwA/dO3wlg2Mtk39C7IA9jY1JzA4eg+1MLhg8 +Azt0jVinp+QcU6O/5Lfg34N/4B/AV4Yuj4+iFDo+fomtwpfLHuoQej1+hm0j +RsB6KYbujE9j64gRMD/bREyBcdoyfLzsG3yM8Bt8OPge4f3Y9exv/ND4y+AD ++Gv7x17A/9c3/FHslRHh98bn3ZrH1Wi7gdg9MRRkC/bv/qzXvNc4ukpj2In4 +7zrmHAf7Pmwj9NifQ2dEj+0a93kGfxe8GX8C/lt4M/6HLWPe63Pmy/BUeBK8 +GDkJj1kv1im5Q5tHfAQ+sTzsM/xXm0UMgnnGh4mvBVmzJOw5fD74LfExII8W +hS2If2l+2IL4fIhlERvFj0/+Mjo1+nPnWNd8M3m+6O/o3sQ/ibPAh4iPtcY4 +ivaX4g9DnuLPRGais40K3kDeXTW+Hb51strct+B9cFDsHT6nJTD7+hTd37/g +PcdzW4bd2CZsRHxQW0QcAd6ZDzsVPx5+WvyCTeGPRadAdtPX7rEO8NmigxTC +j4qfrxh+VHx1yGh8rfh10B8erlpXXrvm3AD2dq+ccwDgBcQD/iYZd5Zu7Kd+ +Hy58mvBhwtOE/546l+MI4dOFDxI+UviM1Pkyk4WngPUtRwmfmTofCtr9iel7 +if6X1HGYY4XPFT5EdY4WPlv4gIJ1kD1DD0EH+WvoITy3Vzw7t8Vx3af1Lefr +2etS8/0pwiem1qPnMSbtnB+PrCQXKgsZyDpFDzmwYNwlLu59HP4N+KSaa/3+ +v8Wz+4hwfGo7A7kLnVwvvuHIkMvw4eUxvuRZkafVN+4dETr/7oHRiyiPDPz3 +ovtJnOI8vWtG6ucuEL4+9bo7V3h6ap3gBOELUq/F44TPS50De7zw+alz1k4U +vjD1WjxF+JLU33qq8KWp+fVJwhel/t7T9Oey1N8F83gp5MffRb88dZ5Anehv +Bh8/o+S8AWTnmcJXpd4rxG2IHaID5YVfDZl0supcnFpmn1VyngFy+mzha1LL +pouEb0wtTy4UviH1fmqjdj4OmXeO6Nemlv8N2Hshty4W/abU8vwy4VtT6wXt +VOer4AVtiQUFvzhGdc5JvRYea3CuWPsGy2XWAbL5EtW5ObVOcUjYodijl4p+ +S2odrV5tvhty7rBYS6yxzrGWaO+A4AfQ3s8sez7InJtKLjWxttczy5g3VL4l +BvamrsGUmf16b6l8KbMv7+XM+a7kahP/mpVZbr2YWQ7cH3rPwsx8ZBHnJDLz +jt84f5OZ3y3gDE2cJ5nHuZPMMuYHlbMz++8+VLk4M09ZwlmKzHxnqcplmfnO +8swxI2QJsqwUNjMyrqFmXt9GZV3N/L2+ZmMa/puved+wf3rnHKOEjyMHiTch +w4hFPVO1j2Bd1V+RmVeu5PxK1Tb/cNE/ySzjP1X5U9U+o5Gif1C1b2io8KtV ++4DWhx9W7acYLbxnyXo/Ov9nmf2Yn2fW97sEf/hjDyOXiS3iy2jV3zo6Pkds +7svw9eHzuz/k8vM554LuHvt9cNDRKfcLefKHnDkw5Cxr59DgRbybtUXMjrzZ +w2KNkZN4cNTZKmQS+uXk6Bt7mZxq8vaJV77SYN8OPgz6skd8C/bMXvGNB4VO +PSDa3DtkHPr05GiTtifH2qbuXlGfcp8YryOD906Jb90/xoH4PO/9PMZyauCv +Mvu7v86sx0+NsaLcN+qcXDSuxfdNif7g98H/Qx3iM6NT+wk7hX6Gbta+SeNb +sU7fTniziv3qc5ulUwifrjbair5Jxb5rYhGbV+x//0h1Nqj4vFVH1dm64pjs +x6JvWLEP/GT4ccn5OvhpNq3YV/Oe6oyouI9Ptjjnq2+Lc7zOzznf+4gW856D +tYHeUf1hFX8rudjkZKMDDxDtgE6Od96nPjzXyXyC50/KOZ93oOo82+z4P/ng +5IifIvoY0UdXfF7hw2bngKJDzm72PehzhMdXLIu6aT9sobmoqTxc9IZOtk1m +1pw79RT7WPQrxST/rXb6CV9R9jhspr49Lbyt9sDtou+gZ+c3Wo/YqZN1iX+L +vl8n5+PfEf7Gp1S+IPo6FecubKF2ni07xnCK6j7f7Dj0mzXrAOgC/xBtm4pj +EfR9XPSfcxOcs0D/J1ePnL1Vas4PY49eRKxYdR9odqwX+44cOnLpponWppP9 +2Ne3WDZ81OI5GRrzQi40OcnTYtwPyzmfdz02YmobAF/Uyor9UcQeySVF9xtM +rKTivBLiuuSVohuvKfovFfsh8Hstqtj3RYyXfFP0Q+7fkbjOuqq/rOJcEtq7 +M3Gb+M9+r9iHxv27Etc5O3HuJrYWsbjVU/tOz0+cc4n9T0x+rYjLw5D7pva1 +nps4FxOde6ze25w67wmf3LyK/XLE9teI+P7aJefaouMypuQpst7XKjnftzV3 +Sm3cnTiHhVhxu9S2VVuV9yTOqRle8m9wqclrjvV2beJ8UHJBn2v2umfN75F4 +XplTdHjWAblb01ocY1whnjy05Hxf7D3i1aXU9iB+xA6pfYkjSs4PxsYbJVxI +zUuIYzemthmJRZMrjJ3I/X8krjNa9ZtS24T4CfDrkv8wpORv5nvvjHXF+mIs +7008nvgmG1L7J8kJJR8Uewp+s08n8xx0MXI30cfwTV5csX8S/+UFFfswT02c +a0g+2aXsicS5Uaclzjskv+rExPnT5LLgiz29Yn/sSYlzrMmDOSVxfi35N/hu +T63Yf4u/9tyKfbbEpcn7xN+Fn/ioin3F+ImPr9hXfHzi/GxyjJY3u0/0Bx/z +SRX7mU9InF9ITs9xiXOIyfXBP3dMxT66Jq2BHSr2lTQL71Txejg2ce4veT+X +qzwjcW4jvu2zKvZvV4THl2zPvyYZ00iMhHOfmWN5r2S2z4jlsWfxAUBnLp7L +TH9W5ZeZY8FfZJYlYOTFt5njdN9k9vfXGi0vXtDv9sLPqzw5cV47OUD4jqGz +fvDvVxq9DvHPNjd6jbGOxpS8ltgfdU3eI+9lrvNuZp8EcT3W7TuZ8duZfRvE +MYnNzc3c/secxctMn5PZ/8s40CYx9jVTx18aeU/FNhR5KOTx48cg3k6+Oz4H +8hTI58anca3K8xLn0+VL/g2eofKCxDlufTo4p5Z82itFPytxDuDKZv8Gzwr9 +hHxBYiyzApPjQD49fglycmkHOfpBR/8mFrNjJ8sbZM11Kifq9xd8Z8hWZOy/ +Ep9V2CTkwyO5P/Onwfj3Xgz9iDYTjcP2FftciBXcUXG8AD3qxehDG2yEivNh +ydcg3x2fydUqz0mcI3mj8CWJc2NvFb4icW4seiP5RpxXIR+EMxL4teqx+yrO +l2xb8jPUJ+eCsxn4u3jnZYnf21DyO2ifXAzOIeArQzGkH/SBHBnOeOAHw8fJ +eTzyXVc0e8+wX/imVxr+nIdX4hvrSp5L5pF+XZS4b9hM8DHOym0XNgc6LToK +PPiPbyOXinMBnJ18Icaa3LF+RftcyEHj3AF+DXLQViva90Es7ovE8Th0ui8T +63Wcn/4scQyXGO9XieOMnKVu02SfLTbuyibbucQBpjfbbzVB8z9D+HPho1gP +ZcfpiX9+njgGim29rMn2NXvi08T7oqfwx4ljgpyD2b/sdco5mAPKPgtzhvDk +svPK/6m6+5Rtx32dWLdAr0B3269s/Q0ZOzexnEUmf5JYLiMH2pXNf7oJf5Q4 +nrtI7R9b9pmmIxibJucYTBXtV+FPcl6nt5e8Vl8Qvqfk2NzTwneXHJv7r/A/ +So7NvSV8b8mxP3SHNmXrD+gvbcvmh31Dd53cxbpJQ9n6yX/QMUqOOeL3xf+L +T/xedJWSY47I1fZl8yh8Esub7JcgznZts32IR+pbFjZ5392X+Dv5RnKJe3Vw +bjH2TjV8cfB+dAL4f0O8E5t9o4p1evT5B9CLSo6BoqfUl62r8J5jyn4Xfqzv +m+zL6i+8S9l+z4HCu5bttx0kvFvZ/tbewjuX7SddlzhR2b7pkfivyvZHj8Vn +Vbb/d0Phv5Ttgx4qvEfZ/mvsjw+abYN0Rwcp22cysmJbBdlybtk2Bnr1tqL/ +tRyyJfTzN2o+l8r/kvhB3zKpYrnImIyqWF4iK88pm5fBxzrpXR3Lzt/YrpN5 +PXz+bNF2LDv3CRvo/eawg3T/6LLXWKJnO5QtU/CdHFCy/2Rm2fo6unqxyfYA +fT6wbHsAWwC+wL5n/8N74AX4V7fUu/YuO98I3+EPTfYfzklse2B3sK6PK3tt +4+s6tGR/F/7IA0u2WfF7HVay7+uQks+hYWvgyzy4ZH8efseDSvbb4Xfcv2Tf +zOll+7nQqVr9oCXb5ZxnOrFs3oXtQru0yXm4E8o+E7dUfVui6y840ZvdFu0w +7ugDzO/3+sa6smPWc4XvLzl2nxJDr/j/H1wc+RjkZRDDZ1+xp7j/TNS5PvG5 +LM5kEWNnP7OXib2zz9njNyQ+V0a+OHFazvAQ0+msd71UcY45Z2TIneUMzD/p +T8X/O4EcAfYte5b4Kmd+iNc8rPKhiv+vAzkF7Cv2VFPJ96DvE7ki5IyQF/Cv +iuNQ0xOfE+OMWAdirxX/7wpyFu6pOD7VWHI/6MOMxOffOPtGbJnzP8SPnhGv +nNnRZ4PJfSZvnPgBuUisadYzuc/k/eLTJ2cTvgnPHFey/ofuR040+cPEGPaP +fDzy8rDf9s45p4NznJzNJHeX3GRyffGtPxGyDJl2ZuIze8Qjya0mBxjf/XWJ +z+m1ntHraB1lakePDXoLtii6ELn54DK5ExX/PwzKxwOfnvjcHecuBpZ8ppHY +CeN3V4wheZ3IJOTRB6LdV3JeB7k2yGb4J3P+Ysx7N91/t+KzKeQlcc6K+Ag2 +UEOT9U9yQ2iLduao/LDiMzc3Jz5zyJkc2ngn2ulRcj3qkCfFWS9iTGW1d17Z +OWHklSBjkC/4Cc4NXwG6+c0l6+fYE7eUbFNg09xWsl3ztXC+7FwO7JtbS7Zx +sAmuK9kuwOaYUbLdgT1xQ8k2BfbKjSXbLNgi15dsj2Dr3FSyvcMevi90mBsT +n9XkjM1Nic9qcu6ot+p+VvHZGvK/OEdH7IwcE/pH37j/adTpW/KZW2JOX9Dn +xOd+yM/izBtx2z4l34NOLjNncYltfcu3Jz7TQ+4MchoZTb4PvKM1T7XqM7TE +yzK183rF55/II+McHbEwaK8F/ZbE50g5C0S+NmeDian1L/l9vGu1ks8PExv7 +Ef0h8dkgcm3gX/CuASXfgw6/7tpoPxI5gMgG5MJPmW2fH/HF6toIX37VOa0b +FxyfWl/0p4XXw5bSNUH4YtWpZq5zUeS9UQd9uIvok4QvrTqnkDaJeZG3u0nB +cSLyJalD/Kgz/4tH+JKqc3Jpn5jayZljASepPFXX18RG8GEX7QdGh1wl8s84 +k9XqF2+0fOxdtD8Z/RMf+S8RiyVPjfxBfLPwffJQiBntVLMeu2PNua4bFhyP +I15F7gk+TM4e8Cw5iOQbkGeM3EemLoi4Kjmh4wqOS3KGCnvo8Rafy+BMBjon +uWJPFqzz4weBt3AP2XZKxB5afWqNvodsOzn8zvh1icN0Dt8zOi+mA8+go+HS +gnZ00Pn/Gcg6ZCJy97jwF5OnQmyKuBX+W76TbyxrfMcLn4evJfO3nMu8ZB6T +C6rOgaUOsc5O/M8X5HnVecFgYp38H47ZwUvJg3yhYFuGnLtRBfMZ/l8H34eN +2TXz2ris6nOYjBdjBf+eGv0nD3diO+vkxGeXRoy29bxt0Xr4aLXznOqPyhzX +qhUtU8hd6la03k5O0ypF82FyW6mPvTy25mfG1KyToQdhm9A2MVnaJ+azPHIL +mmvmQ+dUfZaX3CfWJD6n+ib7BFhzLdFnbCdsKPgecVbOi5Kfwjclf9SpObdq +c5UPdfGzD6rcur3zTtCvtqn5XVuTo1JzrtSWNefCPlOwvYk9xnqG32KnYa/B +SznfTH32xfjM8zIu89iQD8P48D89iIlw/pyYPnnexPV7FR27wb7rWXSMBvuL +WD/538T7iZWtiFwN+ks+NLoVOQPkgpM3QOxrWeRtkG9AXjg5B8TWf4/4Ojrf +wshb+LGL8/wvr1rf3SnGgbklV4f57VF0nAgbExnB/yNB/+Q7wMzT8MzjMywz +jyDujI+OfYtNQ4yG9ci+a/VBF533wjrpXnQ8a07kd2GbrhG8gHzS7XX90MVt +ft/F89Mn1gO5SsRdsYWIRWPjEgchVjA9YgrkYxA/4JwgCRHoOfrZakuRm44+ +T3zggvBhk3f4n4L9OdRfGfW+y8zn/0fMTdcjqtNH5eqZ66+W+ezFWwXrithR +xGDpI3mNjxfsLyL+Cu9FB+CcFDoW5y7Z1+xb9izzwLpkLvjfSNjN5GKNiXU9 +KPb3fvE/edDRDg+djd+0xR4nD5J+4oeZHf/D5/bgIVOjzt7hs8d3T+yuc/zf +EGLVxKzRgQ/oar8x/uNDM8egD1G5b+a489TMMWno6N6H6/dc4cMyx6Spg37+ +V/1+D76Z+ezI5wXLaPLpqY8+QEya2DSy/ujM+G8qj81c/5jMZ0Q+LFif3z8z +3i/zGRTaR0/eKXOMfkeVh3b1OoWvELsm/5r/P0M+/msF6+cnxXo5P67p4a8n +xk876PnEtolxY4/slRnvmfn8P22iZ5LjzTvwte2SeT3srHJWo+UE8UHOwUyO +9T04YtzML2uTNcd6WzuzLBuc+TfrEP/MykjsqYs9hQ59e8Tt0Xd5L30B0x/O +7vQOv0E3tfWA2lwl8/26qL9N5nHYOrNuTpvsU2wMeBb8ihwIciHwpWyVeW1s +mVmGTwsZh/wjr4G4J/nvLxds16ALYHeiD2ySmT4pM40cB/Yu/OS0+H9HfC/7 +kzU3MfN7J2S2IWbHGsZH90Hg7WPt7x3r+OSIBRKbOjnW95qZ9+AamXN5HyrY +j8pc1UVOPnYg65/Y2NSwWfCNYG89E/vi6bC/wJxt5FzTytg7z4Rdxn3qwSf/ ++A2+uqvnbb+urssztEOOH3FKzkSTv0dcjXPQ2PDkbqBHYOeTZ4F+wdj0jvFh +vHgH7eMvIEcDXQYbukeHP//XCeUXXRyLZQ0Qp2BN0Na70f/uUb9n5vHpoXL7 +mmXrdjWfFUOfJE8MWdc75B0xG3IEyQ+8J/O5pLszx9vIBewQcSzyBckVPCvz +GaUzM/OzXSNGRF4edGwu7HLsc2Kc95JjIfo/VCY1792N4zwk78KX9UDmM1D/ +Rp+qWS/ZoOaz4x1DJ0HWcq4KHX7jmvWbjWo+l8pZGs7gc55mh9BHkbucvcKu +IW8ePRk7kf9B0hh60W3khYh+a+ZzGPSTOOYlyAP0eZXnEAsRPps9ratB++GJ +zPl5rf+TI+d4GPmX5F4ipzm3he+Rs3o8iy35eGb6Y5l9yzvH+OBj+CUxH7so +81mYCzPnSXVstj5Kjlih2foo+UcrmrxXOUdC/7Gh8EPMT7xnORtEP4nVEvMv +NDmOw1mQhQXbTSPCf4I/4LrM9BmZ/3dIIXRC8i3bx9ySa0nfsN02qzlPftOa +cwsYK2xJ8hjJT0IObFJzHvsk8mNrnsdx5GtnnsebM+c3ktuEXCV3l1woZA65 +nZwL4p3kAJPLBQ8bGeuKvpM/TE4VsoucYfK0kHvk6JLjBe/nfz+sDF2Iczkk +iBKDpu/oauhp/I8Zzjigw6BvsQ7xCdN39Cd0pyuQW6JfzrxkXlfXss8yt/lg +5ja6RzucW6I+tjDxbHIlyZMkl5hcK2QR/18Hnbb1HGji9/EuaL2CPrHmdifU +/H96mqLP/wc4h+pO + "]], PolygonBox[CompressedData[" +1:eJwtm2eYVMUShmfZRZCZOWwPuzswZwBBQBEUkCw5iiAggqAoyjUjwZwVs15z +jkgG4zXnAAoKBiQpKAKCBFGygoHMfT+//VHPVJ3qru7Tp7tS19Q5++KTx1RI +JBLNCxOJIn5rliYS9UMisTedSHQpSCRa5BOJ71KJxGHQzcFfKkkkKsFfCb0K +6Mizn+DXB+8A3h5YAV0Puh144ziR+CiZSDRC/hs5ZNL/7SiRuArZt9OmFW2W +0r4OeEvwI2n/Ae2Pov3rtL82k0iMq5pIXFAlkVjO/AYwvz+KE4mPad8UOa8j +rwrzWQ29BriO9icDq2i7EqiHvPeQ1xB5ryGvI+0X0K8bL30b7Rsi7xj6F/Gs +O3OaCP4LMIDFOIw+G+Cvhq4KPazIc38T6F3B7zCYsRLM5zLGiKGvhz4FaAm+ +GtY14IOA5tBLodvwjj/wvnUZuzX4RdUSibfofxr0x8hfGFmmZGmMpmWJRBJ6 +Jvh8+H2Yz1bav0/7Y2j7EvRlzO9Sxv8Vucch80d+D4ffFvwkeG1oM413qU/7 +FsirirwVyFuCvGNoM5/2NWl/NPg+2nSEvwBeL/r8Db0DGX9Ad4D+C/oP6N+h +20H/Cf079HbottB7oTtkPNee0H21X/h+Z6gvz+ZkE4lMxURiGfM9j29zJfwV +xd4La1ifh6DrIO9v6D+h19VIJIawFv0qJRLrwXcifzv8bchqjcwB4G15v160 +aQDvZOj20NPhHQHdq8zvonecDH4X8qvTZivytyF/O23fg65X6Hf8hz47oXeA +d9Iz+B9ANwDfybP76V8Leif9d9B/B/wPoY/QWsAfA/1o5LkcD9xO+1L4m2i/ +hfa3QGegf4XepP0BfWjwWVoPvYn+b0LXRt4W5I0HXwf0A6/Fs1dZg4i16AW8 +Ar6R9mvhZ+CfD/wK/TN0MfhwoCnfdCHvXgv5TcAvhv848zpSawO0Y/zzaH8K ++C20+Q3+GuhA33OAY+mzmP614TXLe0yNnQXeBW/Ms3nw8/Abgd9C//PpPwR5 +t/KsDvSR0AfAu/KNNkO/FXy2tiJ/G/S70IcXek9dD72f/fAV7QchYwv02/Dr +FPqbX898U8FnfQPrtRX+O9B1C70Hb4SuB70b/mD6v1PDc93BHBux98bSvyr8 +9XpX6T32RMR+/Y7z8C39m0GnoGdV8L5pB10KfbzOAvQ65K+kfwp8EDAF/Ddg +aJHf4UjaN6J9b/AxwHe0/wZ+F/BngefAtwR/K+2ZBrRvmPFZGaU9C31Uxmdv +NLCU/gto3wN8AvAL8z/A+sxj/nuZ/1R4G4N1k/bwieBN6TMFvA7vvwR8Ps+6 +QY8HbuDMrUt6b89BHzZkvMaMdyL0xcCXyC+j/ea0z8hR8I+G3w/eJcBY+q+n +f2fwufRfG1nHSLdsZs0qos/uof0I+GmgEf2PgT4J/FLgW+YzL3j8cUBj+E2k +s8EvA6bprATv3frQDyB3FH168Psd87mP35HQ3fldDP088x1C+8bQrdlf5yCr +FnAafQ8i43aeX0D7zpH3VFfGy0tHw98P/zmeXwa/T+Q9mgH/sdi2oSryXuD5 +FTzrG9lGXBi8x7W3T5f90T6HPoPfTkBl8Iq0+RH+ofTvxng1GW8I4x1gvDT8 +Q+CvgJ+E/0hknSFd8QPPHuJ3NHRPfpfq/fi9HPpEfguAxyKfYZ1djfEEv5dA +nxBZ5nR+L4XuHdmG36k5Q3eJvGf+y+8I6K78zoe+h9+LoLvxu1A2iPUslg1M +W0et5/kg6IaSx/c9l/M0mHlfdgh6A/xU3q02cCTv9xgwmO8/gfVbx3n7AzhF +e1/zoc9RyJigswf0L7KO+wXeKuioyGfoGfpeAT2aPfYF/W9D9hKe3cxc8si4 +Ghl3Yk+a4g80gB7DflxJ2/bIms1+HAW9ImnbNAv64+y/5jnxNbJngB9fZtsk +nfUEeC/muwd5/0l6zsfyLM2Y83jXRdqDzK9R8Np3Y7z10D9Bp+ENAe6hfS3k +fwT+IvK7s36vMGAn5ntBob/Nk5HfXd/oXfhp+q9NWwe9DP9y6MsZ/zfGv4+x +N0Q+O/ukE+G/H3wWZJPaM14ZbU6A/gd6Afwvgm3hk8AZ8A4HGhdaB5wf29Ye +B/4p63EavMMy9ocmAkPB62Tsb00C3uebVkdfDqjM3MGHwasHHA1vKnAmeH3g +mEL7FGeBNwCaFNrmDgc/AmgqXQecDl43Y/9vMvAf7RWgGfjzwDfMf06w//m4 +5gC+IVi3SufPhz8XuiX4E4Xei51LLVt7ciB0B+3/Atu0z/kGAf9iCe88jHdf +CO/LYN/kKWAx9NfBvswzwCLor4L3y9PAufT5Ien2n7Be06ULg22hfIB7+H6x +/B++3e9892zW32UK9DTs3y7m8GewryCdX5F3bZ2x7uwPbIbfB3p3kb/RNMa/ +l/Y3MuZEoBK8thnrwoFAT/bnDdDD4a2VnWWvJqCzFW3zx9P/OvpfDD/HGhwC +r03GunYAENP+IPyyirbphfJNM7ZNfYAq7NX7gvtqDi8yvyuR2Y/fSsAU8Dvh +XwtvPFCZ9ndJXoGf9YC/kWdvp62DP0N2uqr3/mD2URP267E8OxX6SqAf67eU +9kPBhwGHgt+NvOrIuw55o8DvAa5PWgeMpe+ryPuU896KNoPov5I+52lvK2aB +3ypj29UXuBH8tci+v3zwNeD95F/wu44znc/63PyN7Ml868Og90IfwtrOgq4D +vQ+6CvRX0DWhd0Hv0dpA9wO+AW/BWB+yP2rD3wO/Au0/gFcr6297gDZvQN/M +9/uc+Y5ifXaxHhWYX4uMbbvOcGfazEn6vLyLvCtYr1VFjql2gx+etd3IQP8Y ++11alPos6p1yrM0BnpVWtM83kj4rixyDbQOvm7Wdi6AX078NMCvp8/s249Wg +/376l1R0jFMva7s5nfm+xH6+lbnuLdePFwCnsP7LeZ8zC23jf5a9pP+hRfZR +K9P+OODyQtvYV+AtDbb1HaWzkPUM8z4/6T39P3hLgs+idPgmxVYZr7l0xkTk +3wj/QtrerDnUsO15Uf4u+IhqnqPmphjqJdp+G3zW20gm7/tZ0vrpHd53H+Pf +Af+apGVuYbwTM/6G0nG9GG8z7/eu4iF4B2l/m/xx9tMl2jOy/cH4rcAB+LdA +15AtStqW3JTxXtWa7Rctf5r+F0GPo//NwW21x1+AvgF6LPjRtJkEPTa47S3A +c9DXQ98A3hj+y+DfBesq6fQXwRcH6/5WwGvgPwT7el2BCsW2obKdsjGXwnsM +mJT0mEWs393wL6TtDM7HSK19VX+bFvSZzvj30/6mpPu04fu/JZ+iwDZ5IO2v +iBzblvKsCnT7jM+6fLCp9P9v8NmeABwKr536FNoneh3esmDftjvwKvj3wb6y +fMznwRcG24ZjgTHgDwWvvWLeizRW5NyAYuwX4C0KthU6oxeBPxi8liOBEeAP +BO+lEfr+vOsjwXPrDFwC/miwLtaab4b/cLDu6wRUh94HXa2ifZYCxfYZ++6K +Ecrg7wm2QYoRNsruZ6xzZGNzWcfB1TmPv7A3d8DfFhwLycb9Ab01OPaTTTya +M9xUOYRCn6kaWceZ01j7Fzife2j/d7BMxQgbOBMD0TOf0ud7+HOznqt8pNGM +Vz1r2zSV/s/B/0X5Bvo3kn9L/18Vt9J3c5F9ugPQnTOOjRQjJHi/rpJdZJ/+ +lxrW5RpTYxfA7wZ/WZF9+oP075JxrkExxAjtNWAx+vxb4CH2x5XBa6szIl1/ +Qca5E+n8Y3j/ZtCDC71n9svPztg3U4z1mfw73m+RdJP0OfBO0nN/lfPeu8xt +FQP/T7EM4zULtm092C9teFYtY99WelO+RAd938g+RWv4Gfg74S+Hfzb4G8Gx ++Cbped75EH6fRycdBO/D+TiEdzi90Gu4WfkL1uZ3xj+KuT6OvFOha8k/jp27 +OE7xeuQcRkvo1vIv9R0K7Dt3lr2N7EP3D24jXj2efaKcm/JAjDWasZoic0bS +vsWbvP9g5Vei8rPNs980TsaxrHzAtsynJONvL7vTEro4Y1upb9yMsVowZhX6 +9WTMVvBDxrGevvFj8K8KPjvSkbtp91fwHlXMqVzbG0CzKs65ZbLe6+PZf88w +91nQEd/vS/kSzP2cMq+zcljr9G1Yy3+C28jGnFHmcZVDW6bYHP7u4D2QLHLs +9HDktVEMVQJ/F/yq8KvAXwN/eTCuGORc3uXc4NhNMcWJzGFe0mfvA9ZvQJn3 +rnKgs8F/V7ybsU2WD7sdun/GNlY2fHbWY8lH6KtYuzwnpVyU9lDfMp8l5VTe +Ax9c5nVWDnQ++Db5Kxn7ILJZG/mm5xZ6D21RLoP32RucQ1MMspX2fTP2YWTT +n+L9rg7WbfLR1kKvCF4b5TQL6d8j472uM/VF1rb/Z9pfyXyrZr2vxym25Pt8 +nbWvuQX+/fAr0L97xt9IOilkrauepf1TtC/Oet+X8T5raF+adV5nEvxJ8Euy +ztNMhJ6Qd273/IxtjXK8LejzSdK2+C3W/6usfdffeHYHvC+z9nWUg7gRuoj+ +PTPeu/Ixn5QuzlgfvSWbQpsvkv5W7yGvLOs832TGn8L4PWPvPdmW9+HHWZ+N +HTx7Gt4jrN+1rN+opG28dGX3Uscu0pnPgF8TbFvkw1bLOk81AfnPKl/G+Ts1 +2JdoA//M2LGJfJOZjPcX/T8OtlXaN9uKneNSbusDZLwZ25eUb/sd7R9kj/RI ++vsrlyofTt/9U561ir1mWruZeifoZrFx+TfyVbcj/0bm8hGyPwQm5ryPJLM0 +dm75hshjK8f8Os/2J637v805F/Mg/LqRczIvwN+dtC5elHPMqNhROm4r+APM +t3vS9lCx2X3QXZN+V52VcTmf6y5qg6zxOe/VbtDVYusw6bKP5bNC319mns67 +dL/uIsYxj5/SvpN4KbavrthmMX1HALrfmM18LgIfA1RG/lzoi8GfzVkXaE4Z ++h4deyz58PLlp8SOFeSrL6Tt78XOISp3qDV8iPn0TNrGytZOytkv0LMy+j4M +//ikz5jO2tSc47ATtJ/gT87Z71abLPS0nOO63ornYt+ByG94H7pB7DsM6e13 +oesqXomNa89q724qdk5dufR3mF/92H3lfyj2ubfMay19Kt37iHIgSZ8pna1H +yzw3nTmdvS3FzlGvR957ynkXO4et3PWMtO9ixkbGdSezmT0/DH5f+i8Gf6zM +7yIdIl3yYexYSbHwUr0L9IdJ+/uKtabkHMdoTtVjx5bXRX4XxZi6Q1JcoD5H +6d2AgpR9iyXwxjJeh6Rz5EXIW5l1bkbffAX4hJz9Mu3JEsUGyJ8LjEk7RhuZ +d5zfGnx0+bs0Ak5P+50Uu9yCzzw67RimcnAOUrlH7cE5xY75FOupzQzpqJR1 +vHS9fOfvi51rlw99KPqrf4ljLsVUFaFPKLHukl/1drHviHQ3NJQ+46F7wL8j +7XzAZcyxnfYh0Jn3uzRvv1vPLge/lvPaUfGd7JB8p+AcpHKPejaCNi1pe7/u +9+j/UN6+xBDoh+VbBOc0lcsMyj3yrC28B3VfR/sxeeex9ewS8FF5r90DQAv4 +belfSP9K9I/ofzV4m2D8JOAa6HbBsgdEjr2uj7zXFIMtg+5QYt9Fd0gjWYsz +I6+FvoliOtnJ2cpxsdY9S5wz0dpojU7W/WBV21Dl5AqQ93TwXZnu7EYr1pC/ +knIOZbdi3ci5QMVv5yFrUDXnGiTjk6xzicqBzgS/uIZ9P+UY79ZdHf0HltiG +KkeRhPFMcG5PMdQP0O1LnPuQj6ixhlRzrlRjKvY6vnz+/8bHrM8T9P8SeifQ +Mraul71X7mJTDedZzi33FcYh//HgWFF9Rko/BveVDXsW/pPBseZXPGvOXOrz +rF/KZ+AVxnsqmKc1WS8fLeMxNNZvwKBK3pvy/S/N+W5OOdBLcs6VN6F/xcg5 +85rM9+2kfQL5Bt/nHDfoTMyUfgS2JR2/KDZ6UDZIcSJzOQv6y5zj2I08+6/s +A/Bnsvx+kvUeB71T+g95rWm/IOe7E7WZAO9x4Pekc77K/S6DDin7PitpOz/n +uE0ynoV3V+yxKjP+mcj7Kmc/dhPP7oF3d2xc/q1isbax9578NeWOpIOkixKM +8a5ikdi4fEj5ksrxyE/8nD4dZa+Bg9p3urul/zc53wVpzk/Etjn/5nqhp0Hf +DvyadG7xC3jzco77tIaPwPs65zhaa/gQ9J2xfSetodZSPo58na941gve8ti5 +JcXiP2ksyUjap5NvJx9YvrCe9YZXkf3QMGUbJVt1kGcNUrZhsmUF0gcp63Dp +8kLd6ads82T79tO+fso2UrZybWxfUWdhNfTs2Lk45S5/gN4CHaesG9fI/ion +l/LZWgu9IXYsLd3wM/ROxYAp+xTyLeQzyXfSGr8N7y/ZzJRtvmz/bujDU7YJ +sg1PQf+R9DfQt3gmti+oPaK98m3sXJpyWyugF0GnU/aFl0P/A103ZR9GvsyX +0IemHAsv016LvfYJ3U8q9whdL2UfTL7Yz/KZU/ZlV0E/Br096W+sb/117Nyk +csM/Qn8EXQi9B2iXtU2VbdWzj+F1AeYmHa8ol6g7P929reXZdfCujY0rh61c +9iStUdJnSGfpaug10Icw3zM0X+WTONdfQM8F9hX7zl539Xr2qfZIymdcZ30A +9IKkYz7Ffh/nnKdazLNT4d0HbE76jOmsXQD9o/JSyBpK+wdixx7a09rbn+ec +R9Scrol9B6k80S/QN8e+A1Ie8SflcmTfc871r4K+DPri2LyKsh/KhTD/mxRH +Q88EbootqxL4sKzvkHQ3sFy5Jnh9g2NixcLygXfT/1Z+59D+c2BPsWsEVBug +Z5fGHlsxh2KPEbFlKSZSbKQchXIV0pG14H2Ucx5Ia3Zy7ByzYoP50CfF9mnl +2+6VbdC3kr/B+LO09mn76PLV98F/NXbMo9hHe6Ar9Mux++7iG7VVrFPsmoht +CcuQDy9ffhdtnqPtP/JVlNeHN1v2IbZsxbCKZafHbvtvPgZ6amxd9Q/y22R9 +56Q8pb7phfBuATYknYNSLurPYtdIqDZC32BGzndZ39JmKG2HxN4rFeCdSvv+ +sdeiAHoI9Gmx2yrmUuwlnSjdqDFu1dyKfWejuxq9w3949n3SMahiUcVgisWW +8mw4vLNi44W0PS3rOyDdBanP2fA6xNbdiveVW28q3wH5BQW2ec2hd0MXQleG +npm3L6Ualhng5wPNdY8NHKu7A/bSrOA9rRjhHPjN4N2regv4F+Z99ycf7SLw +8/K+55eMC8AHyUYkvWe0d6rmHdvU5H0j8NrInqqcDO3/BA5Tfpj5dSrws7Pz +rlvQmOeq1gPembRpTp+OtNnN/D4NPlOKcebJd4E+Fn4H+J/INw6uxWoHvYv2 +nwR/c8WoA5CZUa5H/q7uXuDPDF5zxYT9Sh2TKhZtgoyz8q7laKJvBX5G3veA +R8seg89hvDN0BmnbvsDvcpbi58jvNCzvtndLHuMNz1vWPUBT6KHQjXQPDhwD +PUj2Svfkur+CrousacjaBf0PsIL1rcZePgB0ytpGylbq2Up4NWg/mfbbabst +bZ0t3V0Cf1VsmybblpUvJd0Tl/OKfNfzq2RA/wW0Qv5G6FzK8YDuYg5H/k+8 +Y+cCz0k2ULZQbTbFtnmyfZLxW+waHNXiHITuLJz+U5jfDsVqwLrYc9mmmj3k +n6f7sqrOxSpHNzh2LlU6Wrp6YN65Tq3RKYot8q7d0RqeDl4zeM9or2iMXPAe +0d7QmgzO+56/oc6vvifyv0v6jOus64zprOnO9ZzYOlm6eTX05Tr/efe9S/cx +WdeoqVatCtA175om1TYlge551yipVikF9MyXn83gWhGd0U6seY2MbaRyIh2h +q2fsIyjm7wydy9j/kI/dBTrO2N7Kx9PZrhBci6IzrhpH1ToG4CTwK2LPXTZH +tucD2g8N3tvH0f4t6NOCa/faQs+Grqb4IO0asati5+KkD2TrNik2LHatxn7l +x+l3HWdmYOScsGpPbi51LYpqUA5I9wTXjlQscOxVFFxbohhsO3wl2lXrcRD0 +hlLXXKnWSjVgY0tdQ6XaKdVwvQRcBd0/cg64A+uRzdgGKWZ/JXKMqdhSOfOX +y2M8xXbKYf+vPMZTbKcct2ptGjL+wbRrbvZDfx5s35UjWF5inSVd9Xe5DZYt +ls97W2wfRL6Iapiuj11DqVrKqsCJefvs8t3lU9wbO4ZQLCEf6lHoE2gTQT8h +fQevr3KW4E8pnpd9yftbPi39mnVNqmpT1ad33jWwqoVNA73A++Q99pPAeVmf +1eHK0Uc+s93y3puPSp+p/iTvvo8D50D/XGKdI12jmrUFJdYp0iWqMVhS4jOs +s6uaw79ZrxnB51M5sC55n4VHgOG6u4b/WbC/rxyOanJVmysdfDJ4j7zPxmPS +/Vn7WPK1VDMzMnbNqGpHtSb9wPcib3awj6Uc0VHBe1J7Ud9wK33yKce7yh3L +J5dvrmfbYtce3aV76sg1SE/nnSuWTpBuUG1TY2RWiFzj1B38sFLXEtWAHp93 +LlU2QLZgZXkb8VQTewpjPpz2nU/t2GugtVDN7+HSt7oHoH0cuaavR3BNomoR +Nacn8851S8dJ13ULroFW7XN1+Ivyjo0VI29S27zvLqQDpQuV41CuQzFOBegX +876bU05EuZHJeee+ZWNla5VjUa5FMVIi77M/kXE2pq0DssE2TrZtS9q1eJMi +46rJm5h37lw2UrayJNgGy/ZKxst5390rB6RckGyabJtioh2xc0TKFSnGWB1b +l3RBRjayTlGt3B2R3101c6t0X6Q1iVwTpTOis6I79Xaxz4jOimoYOsWuJbuX +trUi15TJ5sv2KwffLbasI0tdaySZXYNr7lRrly3XNS11XxFZ57QK1mnSZXqm +2pRjg30r1aicEFzDrdptjflp3nk63YnNyvtM6myq5qF17Nq3u+HlI9fAqZbw +fn4Pi1xTeHxwzZdqvfLle6deqWultId6K7dS6lqm2tCry58JVw2pzrTOtu7g +msQ+8zr7qmk/Qro9co2majNVgy0dJF2kO4/m8PsE31HqblJz0hnVWf23hl65 +D3gfBcfwyuEqB6dcnGLyorx9RvmOirH3ydYCVcH3Ax0VH0IXp3z/82+tSM65 +ED37PnZMq9hWfZbI1wZSKd/36G5uVM65dN15jsw556Lci2LmJ2P7FPItlCP6 +tYZrblV7qxh+c+w7UN2FKobfHtvnke+jmrP3arh2sQHvty/tGsbhpY45FWtK +pyqGVixdmT5z6T+o1DGcYjf5hENKHRMpFpKPOrTUMYxiF/m0iiEUS8gHOT12 +zK7YXe+4IHZMLVufhP4GelipYzzFdvIxP+NZJXh7gfZZ5yjkK+jZ5/DmxJ7b +svK7ynmxZe0DOmTt88v3V87kQOwYSbGSYu6JsXNAygXpzuU19Q2+Q9Ld0c9p +1w6OV34y7RrCmnnXwkhH1crbx5Wvq5zCntj/jXg2ct/V5T6xfGPlPHbF9qnk +Wykn8if01LzvxhRjKNaYnndtm2IQxSLymeU7K8fxN+2fz7uWQDlz5c4VUyq2 +1J3Q88qVBPs88nU05xDsE8kX2pB2zkK5C+Xw34sd0ym2U0wzMHaORLkS3cn2 +ge6Ut28rnS/dr1rVCZFlqWZVPrp8deX4foi95lp75WC+0PsG+0DyfWRzjgiu +qd6b8J7TN9W3VQ7jk9hnRmdHOZ6F0JOVOw6u/ZQO/j/9/+kr + "]]}]}, + {RGBColor[0.2515966825, 0.2762395025, 0.2985102425], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNnHeYVdXVxu+MM3OLg0zAzGHOvqhYEo2AgIIoYgEVFLEh2AtgiRILoPRi +QcGGjd4RYwMLYosaNcbYW4wtqLEgohJjypcviWnf+5t38fj9cZ697j777LPr +Wu961z6304gLj72gtlAo7NZQKGyldEWpUBhVLhTGKvOamkKhUb+vVvqw0rKu +PVWmqLSkq4fkx0ous5fkmTUuc1U81yby2ypt0tWz4LxtIv/6Gt+7TumTJcuU +uans8tdHfZV4L+nWId9Q9m/e+a7SLrqWS75Z+e0l3yj5ferTdavkG+N+ra4H +U6GwXr9/kxcK75X8/ArlP6O0na5eBT+PfEON2/K9aNvSukJhgK5lyl+mdKCu +lZIvqRQKF1f8vlvinXW8t+w+M5Zv8U5dSyUvURtek/yq2pCU5roOV/0vK+2g +a57KzIz0X8q/W/Nzl665+v0TvadF94bX+D7lT1T6htLXdS2SfJvqf5Pfqv8a +pQuV9x/V81Kjn91P8hcq87+SP1aZTGmzrjk1HifGkz4u0bWz5MVKX9Ozu0g+ +Qc+u0bPvSP61nr2w4vwza53uHGVeaXTf6Bfvp48LlL5Scj/nSx6jZ0dX/L6u +MY9nq3xe8bMjai23VPw877qg4nc8oTb8TunbueeqfcxdT93fS9cY/f5PsVD4 +t67JetfeyuvFPNG+aqGwa5tCYZjSk3X9SPKJSv9b9DNTVL5B5Y7T+6+o8Zrn +9wzJBaVHK3+q5JqSf0+TfLTWwtORX1vyvemST1O9nVX/KUqHqczQOte5TG1Z +qutylbtI93qrzAVK39O4DWT8VfWxSofo2ij5uJCf0jueqPdv5K2UHqv0UtVZ +L7lO1+WSb1Dds3VNYI8pvVbXuLjPM5epzBC15dg6PztPeT+l37qGqx1d1Z7T +q96vrOFrlT+77LFgHM7UvW4qM6Lqfcl+nKX8XrHvLi5YD5xQax3yRqPnmPld +rncepus25T+refyUfah5/Ii1Ge34oOQ9vEryBLV9fMX3blZ6k65J8c5y6Tvd +M6zW+qcp9MkWHXNSrfXM6XrnaXWW56qOObqmxLgyniOkBB/V/A8teS7Zx/SF +PX6injuhzvWfoz73UN/PqloXMiZX1nicGmO/n6KyJ9e57+yt76Mb2FPKO7TO +e+r6kvdYQdd+W0vP6t2rdK8PY6OrnfL7aa6/lLxaVy+VWVa0HhrZ7DXyqsav +U53z2LMd6/wO6r9IbfwH60vXLnXWWfRlL9UzT/Us1u+ekhcV/cwpqvNG1fkr +1XmMyj2qvL/p9yjlr1H6tvKfq3P+t/r9N9X7J8YtynLv4Gjrc1FmcLPn/B7q +bPa6eEjyMMmXS/655IslPyb5Q8lXVtyuBbE+P401yt7ZEPvn7sz5C/Xc4c3W +Nz/Vs9tprA5Q/jf63Vv9ur3otXaN7v1K7XxRa2yS5J9L/pXkyyX/QvLzku9N +tgdvSr5Z8kvoKckPJ6/FtyRfqfU/XGvkBLXtd8r/o/J/p/zPW9RGvWuj0q+U +/3flf6L8JyV/LPkdybcn24A3JM9L1oOvSF6WrLtfk9xTbb1V1z2qv4/a/0DR +v3vXeV2sVf6+yr9X+Sv1u3ud07uVv1ud+8qe6qJ0ha47JD9e9Njtr2tvPXtr +0evgiaLXNOO1j/LvLvqZ1ZnHeVGz7Uke9mNAs+3GXLV3lvbyDD1znuaqb53n +CR1yYKOf5X0HSf6sLt7R6PkaEu0YFjrw+ornc7PqvaXi/cLcHazymySP0NUv +UmxxP+VvrPPeOiDqZj/eWPHe/LpgLHFyrfc88/wE9rHWa+qQWFfYnVZdVGub +vHPsQ2zItmFHWsIW02f2LzZyb9pZ9m/28gSNxeOSn9XcLVSdw1X/X1Tmudjv +lP9+2NbWZ2v8+2alA5ttG5eqjoPqrJvQS9dUvN6/LHj+DpdcqvEcD5JcqfH6 +OEJyY43nG12K3qZv9BFbzz4Hn4BD0AXoHPRMf6Vn1bkNh2g8v4jf6A6wDRhp +/0brwaNjrx8cemDHej+P/GTRbabtS9TmM5X+VfnzKtaxf5J8YMwVOnC/OteH +fVyuMoMlN0nuVO855tmnit/N+c+LfpY6+qs9n8cYbV/vPOp/uui206Yd6t0W +xv8djenvNc4f5B7vM2rd320DJ9xEG5TeW+MxPC637h2Se58h077NKjMoyrWO +RTHsQp3Hn3n4TPc36LqrxntxUOzHaerjVF0D2D+67qzxPL6itn2u37/Vu47P +XeeCZtfJfqfeo3LLRypdqTpWVKxnv9F1pK4HatzOwaET/hj31kkeK5u0r/T+ +aKUf6F1/UP6Hqufw3HrjMKWH5N7vByvdVHIbV9dYf6AzDwu9QvlBoUsoz1qc +obZcUXE7wBBgCfY+ZQ4PnfNFyfWukXyZyl5a8Theo73zT9UzAV2R+10HKH1L +7fwKe58bq4HZJtUYV4GvWDM89y9dXZV1bdk4jbKk4LY9wMmBx7opWRJ9Yr/w +vm+L1tu3lixTD1gIzNS9YEwDxkMvTQZf6OoHhii73Ja+1kV58F1tvAsdD3a5 +Pd7zz6ifddEv5p521UT5ewODUc91ZefT19tL7jt9Yf2y/u5T/pqSsRu4s2Nb +jXF7YVbtiVmSb5e8r9raqUk2UPL2yt9Tc/+m0r2U9tT1luReSu9I9j/2kY7/ +ucb6HtV5ivLm6N6ZWjNvKn1c+XeBh5R/Rcm4FL8AO8c6+zjZntHnpyV3rxrb +9VA6XW34fXvbh/dy740XVGZsyXgbXH2F7j+vche28f6kn++pzD6BffdVureu +dyT3VrpH1b5HN6X3q79f6/m31d+n9OxaPXumnt29at+ms9JHttGaV5krZJ+6 +VO2HdFXaRfoh1Vu3/rnkPcJ+OSBsCHbncbVrnJ49S/emlozxwL0H6b1P6N7q +BmN2sHur/lfZx5pi7FT+17p2QyeX7H+cSxnNb2fN6Z3CDfNLxtk/0TzeWbIv +cmStsSeYHvw5XfJeqm92jd85vr3fO7lkvA3GBrtg26ao75dhr9pYpx0Yuhbd +2C9sJnr1lyr/M94XtgY7g578tmR8eLp+36syV0neAUwk+SHaKXliyb4A+PYO +9eOH9dYPP1OZn+reEck6+MywKf8OH4o13Cc33thX6W56bnzRGGd3yZOLxrnb +6t40ye2V/kj5E4vGO8wV+diN7+Uu35R7j4K34R/QLUeAb2uto9Ex6OT1jc4H +szIe+CCMSabnL1M9zUqr9ZbBL21zv3eb3P0bWzSG2lq/L5FcUZrrmiG5RWk5 +d5mS0h+o/Oii8Vcxt9ygdNd6PwtGa5O774252zUo2gYOY3yw0/X40pLrlO5S +bxnM3rHe7wU3YbvwdbfwE6fUeo7xl/CNwAL9Q+eA49n3fUvG2XAU+GY/rrU/ +Rf55tdYT5IPL0VM8iw4fGHYBHwN92D/WLfuyf9RPHftF/ehaym+xfTwPuTSv +bD8WfX5U2C+wPpwKfhrrHJs/PNYrvjvl8XkvajH38ajSBcqfr2sa7a56j/wY +G9foeqlzse4vwt6EjeRd2EdsFmXGqD3nV71fRil9oOT1xFrqqHGfqXGu5vYj +kNENNfo9qggpoflWW46hjPZpg+SjJaetbJ/QzV+GDTqm1r/bqMz+Rfvp+JSd +Az+wFx/VdXz4q/it6J+HI4/flO0SemMT/oXK7SK9PUL9HVr0nsWejtYzE5kv +7cNV1Bv7Eh00WPXco2fbqPy9LbYvR9Va5xyt8ncwbqHv74x7M8u+v0ntWRTY +hXmE6wNHs5cODH2L3m0ERyjvhYL1x5W6WvS7e26/spvSi/SuR5T/jOQfS16H +7ZC8A/yUymyfG9chHxhY7vqiddVOueUd0SG6bpG8a24sigz2A9vjz4J98WN5 +L3i3V25/uWce/nHRGLdz7vK7s3913chey41FkdGdO0s+v2jfGju5Jub1BLV/ +Nfo6N1aAI/o6bPqQ2u+4GFL8mjNU/j7de1Llm1lTup6Bt8ldf23o2gd1DVX+ +TvVeb/jxD0Qe78DW3R/vGJO8htDrzyXbWezta8nYa31uHnV67K/zK64PP+Cq +in3siWXzk9g5bNyUWJM71phfxd5ga+BUsTHYl2uVXhc27u2S+YsfgQ0qlvEv +4IiwGdiLo8LOsZ7oH5zNcZHHmttOZZ4tmQNDl3Wv9zrAf3i65H2MH9ej3msC +HcEcrAks1K3eexW/cY9660r8QOaHfQjW6l12u+En6R/9ZH8Vogz1kK6O+cVf +RMewzsF+40vm035bMo+8e43Hg7btXOP2If8l9M9loZ/BAtfEWKFvLovyf1E6 +A7ur8l1V/6ySeU74XuRda3z/yihD3tWRv2vZ+XC/jBfjhn0frfrXV/wc2ATc +Bj4BW15SMg85SPJNof/px03Rl48r/o3fN1vpDTGnzOfskPuVLeMvgwepf5ca +43CwXSuui3kkn35fG33/oOLf+KRb+gmnfXHonO0CM9we6wT/mrrmxBpr5ctj +POG24SLOKFs3oZdeLZlLbuXKA3ujD9FblOkq+cuSfZHVMY/w/fDccOpDasx1 +bQxdR/m/lsy1k8+eg0NlP79Qch7+L7qTNoNz0Lv4FV3D71hKfrQJbp7+woet +Dl8aH4Hy5wZWRF93lHzx1l4f6PqvS8b+4Bqw5G1RBp1+WzxLHbybPNpCm9hz +c8rGuOui70uiPXCkD8f6R7esC/2CDXwg9ib30dXHxz5D921f4zzuEX9hH7Of +O9XYL1kTZV4seYzwt4fGnj8u0oeiPH7PvTGe94XcPfQnv9FvzNvimIsvKm5/ +JeYIPxuc8knJ/hbY5/OK5w7/unO9bQPjvGe9dTrYlDlkLndQmQ9L5pXhd9dF +38EAvPv+aBvp2ih/VtlzelGst5mxH1mLcC6s7dZ4TuRfXbFdxu8ktnBJrPOZ +UYZ1gT80NuaUeAh8IFwTnNPLIcO/wQ3CE/Hca7HW4eRej/z58Tx1orvwC3aq +sQ57IuSnSubFiGGdG+sJfPXLkuNe8F0PCmd03MrrlbI8A4/WNp5Fz8FtgwPQ +jcRZaD8++ImhN8lnj9I2xoay8GPcZwwujnFgnyODMdpFG9BnjBlc9QblD6/1 +emItwafCNY9CN5bdB9oPPw73DI+EbscmYr/er1gfwk8yF7MqrncMeKlszPJw +4CLw0ePRL+KS2APWNFju1thbvA+98m1wF+hh+EFwzg/auN20mX4wpqfW+no2 ++kUK/4xuREc+G/LzJXOFcIPsG/r7wxpzVs9F34lbMXbTYn+9FGXOCH2ELvpr +7DvyeY56GT9sBZgMO0Lb6QccCDHEURWvtYsqxjjwf8SpxsdeRueCF7DpYyv2 +ReAU8WEX6OoSOpTnamMvcR++cVzF/hD+SI/wpZmXTyuOj1LmpLLrwqfAJ54f +dRKrog3wLTw3JZ4lngWumBH7l3o619iO3VyyLcNPnRh7lnRCyOxnZPAY+gj9 +BWYjlgTOIX40R+ncqBP9yHvB5PjclEF3kU4KmbU/JvYvfCb+xtrQ1/ig8Ir4 +LGAw4lDHB/5orbtivxBfib6OizFHp82LcfhMWO5/JH+UGwsRpwA/wPXsU3Ec +AtzxdOSzV5+OfYqNwq4Rf5lYsS97R+hN0lLoTeYH3hj8zj5iPw0peyzwDRnj +OTEm+OrtYq8RO2NuiHNNr9inb+VCK25/Q9ha+ofevrxin57xQUegm/DH8eGm +h44inRbyVxXzs4whendZyfYLm0h+N8kbKl5PrLUjgi+CN1oQa+l8vefw4L7g +wH6ofv2gHHH06NcoldlYcbsZJ2wOtudC/J+K7QpzxVrtH3WCPQZGGTAC9THe +1I+v2rtgjL+2wTg/S46hrtQ8dkj2e2+V3JLMR6+S3D6ZS1wKX50cU1yOv5Ac +W12RO9ZBPAV8O7dsTog18FluP3N+s3Su8tdIPk/5azKXX9xsHp24CTg5T45l +3Kbn5pf9LP4pvmxjg/3ZR1rct16q48EW+y3rlE4uW6Zf8FXfL5qzYv+xD8+t +NaYldj+y1rrqxdBFz0W6hYsnRXfdmKyvXsrtk4ARwUusw74xR5srXhOso2PD +5+9b9doAG2CX4ewYE/qAz4yvjp++u8pObLB9W1nyGRfOt2DT4WJG47dXjDNY +y0cGDwkfia+/TdTDuZij4tmjq+aY+lS9NpdGPfBq7D98Afy4jhGLaZfMUS9R +H/dNXmcPSd4/+fmHJfdLbt8jkkckYw84zsOT8SF8W4/ktbsu99jDQTD+cE3d +I040bmvP0ciw56SMZ6/kvfGgnj022f+C6+2aPH8PwL8l4/+1kk9Kxn7wxOcl +4zd4QWLlvBP7u12yfYE7BDd0jHftmOyz3Jd7Lhg/bP0Pkv3H+5W/scExA3QT +6/bqsseaulPUzzq/quw53TaZq18GD93wXfwT/m23iHMRk3wwMAxzXol5/1mD +eQHmA06lFGsEH79TxMXGl4NrgZtK9iUW5/Yp4d6wFwtif7Fn/pDMn36qMrPK +3nNwXM82mGvoFDxnn4hz1UdsHz0IF4rORDeub3DchT683mBOEFv7zwbHhCgH +L8pz6EN4SzhLbNljRcdU+Q1nyHPYYjhMxhU9/L2izxL0CU4VPhVs87OI7/H7 +0mS891xuO4MdwZ6AZ8AxYBjOIAwKXE3M8PDA1cRpDwvfHK4LvYA+Id57cPDt +XwePB5/HOI8rmwfDL8SvAysOrLf/j++PnplU9tplvcEHUifv6RHv4v17RhuI +OR9S71hy28xY7Gv1qX1mu3oiujYzFhiODs5stw+T3C4zJj0m2Q8FmzKPL2XG +ZXOaHXscGG1Dr8M3oQPRr4cG53BsjC9ji64dELzE9zPjhXOT87pFPu3tGm2G +T2fOmK8BMZfM46BYK6wTYmvsc/b4EbEmWA/o8Hmx/oZWjUeHVK3nVoatRHfx +G/5zeehA8tkb7BH27eBYr6xV5rlzzDVz2CXmcXhwc+g3xh3fCv6Bcvhc6HPG +CA4H+04/4WfAUXBz6ET0IX1mHbOGB8YeZv8ylnvEeB4aHBx784TgwdmDKwID +0JfmzNhwNDYtM3aYKLkpM+btmIzxwfsvFIxzkME6+ALcw6eA3+A8wDm6X5e5 +7DTN+8EReyIGNSI4X3RTp8y+6T7ozqr10xcdCoWPO7jMR0o/rJj7gHtD58GH +nKX6P6qYLwN3b+hgXfRpB/sHz8Z+6xdxK+JXcOLsP8Z5VrJ/8UJu/Tor7Cwc +1y5RP/p7dvTl0IjNEaPbITOu7Kk6BkZ8kDghvFCvsN2fVMwHgfd3zIy5+qr8 +9pkxYHfJHTNzQrtF3AddwFq4P7O8XOPWITMmvQzuM7OOWNZsnn9TrKN7M++r +pc3mRb4MbmRtZnmF8lsy+0lXq54XM/uptyj/nsx7bEmzzwRQD+vu5Sbt2ybz +YXlmf+gmPftMZp7mOpXfKfPaP4jzQpn9hi6Sq5n5ql0k7yy5h+QviYVlEXPW +sy9k9qFvlvx8Zn/xJskps9/fifnJzDter/xnM3MbsyU/l5k7uVHyrzLzDTc0 +27eDI5gevgA+GHzjle21BtSXMcEdwsPCK+6djEPPyoLnK5vrax9l4Gk5CwAH +BP+zU/IaOSOzjV0YuoILvYGuw8bOjbNNeyZjrjOzOOdSNhe3R/IaGZmZW6J+ +fJ6Rjeat4Kzoy95xxpK68FPwN7duMC5Bn/8weZ0Oz1yOM5nYXOKQ47d2XAMb +uzDwAHHct8PnwefqGWc7eY534Rdzr3e8C324IHAt9SyI/uLL4C/g1xDb3xiY +H94InA+XSLopZM7zfhJ7YWzsC3Ty+bGv0WPscc6jwi2T92HIU8J3KIVPxLvw +cyeGr4Gex0/6LPJp4/zyd3OCjL3D7s0LGWw7N7DQ7sn7e0TmcwD7hj+IP49f +f2L44PS3LvzuDdH38SGPCw7gvCg/rdE8CeOIfe4VY7t9Ms8xNDPPcXVwKZwn +5awS9g7bgEzcg5R7+O/johxlSK+LfNY5Mvc5o8o5sM1hF5CJq1wReB+fEeyD +jL0DsxP3JYZK7JH+4McSt2Re8W8nxdzeEX7i+P8375NjzGcFNwSfg29HPnVM +DZ8P3xUMNTHmC1+EuOmWd06IOsGgU2Kup7TxuYYt4zgr6m89D1sxP8LaJcYJ +vj02ZDi01nPgFXN7reedK/aFwEgfxLpintkPrHfsCffIp46eUQ8+VEs8i08G +tw/nzzyDj5nrC2KtspbhyeDLiCmAa4gNgW2InV4R44//hYzNJZ0RMv4QMmXx +34k5wXVM1RjMbHTd9JvYM22g7qui/k/iHvlgPfJpOxfl4FWJQWAriTtcFHYT +PECfPo5niV/Cex+ZHF+Ep75Acp1051ZN1k2cz4PjG5dsO7GhVyV/A8C3AA8k +n8WHX12UfG6e8xy3Jp9x56z73ckxP+JEw5LjefDVpyXHMuGRz8Znara/MZGz +oB2swzZ3sA7c4pNxpu6Y4Gc4N4hex87jA+MLz04+R8dY4lP+stm+wcwWx/aI +8b2hMo8229+4VPm/bbZPNbfFZynhZjj7AKYH209Ljg0TLzg0+aw5sZy7ODNT +NPYDA3IGi7NYbyafUeOs2kuS5xeN38BxnNXmzPYzyWeOdmzyuaMvWxyb/qrF +5884Y7O6ag4LLuvT5O8N+O7gc8kz2hUKxSbrfc4QYsfgBs7d1ud4WOsj4pz5 +SqXrisa94N+F7XwWCv03KmL6d1SNfcHA86s+vw4nuLzqs/5w7gurPouPnV1a +9fcDfEfwWPJ5bvjKVVWfLYCf+mnV3wZgoxdXfcZhauiH15rtv81usd5Dt6ED +mQfO1OLf4qtyZhd/Fc4Y7hU9zXOcUV4efh9nc/H9wLZfxf5C530Veg9+Ap4C +ruPSkKeHDv9J7N/34zcyvu75YacuiL0On8u++ST2Dvvpo9hfo0Nmn9G/TaEH +R4V+QH/AtXwRbcCv3H9r+5acn70g6sdv5ewyvis+L+fa8XtpK89Wgt/bHH3E +B6qGH8Ra5ow7/nN95nfcr7H9PPbPJqUbO9hnuUVz8W2z33GXyryc2Wd5Remr +LT4/8ZrSb5rdplUtPicM18uZC+wMXDK2BnuHreMcBzoZPQou+qzZ87dEz76a +2Q96TemvM/spb2bWh5u32KoGn61Hj6IDOFsP73BXMmYGO7+euc9vKP1tZh92 +vdK3M/u/74B/Oxi/wO0d0cE+9WClv8nsP76l9N3MvvB7mfE7OhY7synm74Lg +tS6N+WK/wi/jA3BWkfN7lxeMQ8iHDwYLEWODJyZl7xNvI4aITiCGyhrgN/wu +Npgzipxlmp8ci9o7c328j/jc51Fn17DRnIm8Mc5GfhYy+h+fH7swJDmGeXxm +X4t4D7YSTmtycAJfRRvwT4Ym421wN5wuvCH4lXZviL5gB/Fzzg2+d1JgAOri +3XBWnFdFr3LeiT2+KeSFydgejA+GJPZArON3IXcOe0RcmXgI36zwvQDnqfi2 +jG8KWr95SY6N9VY9K5N9DXwOnsMGrQic8H48uz7qxD9ZFfXyXmI4jAlYl/gw +40/MgTg5Z9mJ24BRPor5vT3mm/ll/jbF3NF2+rAqnuPbBL6jIOaOvaM+2vRu +9Is9/psow33KbTkn8Ha8l++33o3+9o25ACOBWfExtsznldF+zglyhoDzA2B7 +ZPYesTbONhHHnxXcINiYlN/widjVq0PG77gu9vDMKMP+hcuZGTLYlTrBY3AA +xAHhAVoCd4A3wDNwJeglOH64fvbRqOR49kmar/OT/Tj8uZHJMeMTJR+S7Cfi +L56a7Pfh/8ENwzXDDx8RcitfnewD4gsuincRUyB2QbwBH68m+oVvyLdOnMvh +TM4ByfWdkxmno7/woeDUkKeGThsf+cRO6S9cB3kTguskb0zkTwrsxV4Ai02K +/dg/2sN+OTnFGajM3MmYiKVeFXPK/KJ3JwS/NzjZ78b/5swmZ4M4FzQ5+oIu +Jo7EOSTwysQog16eEO2nHvwFzuJgX+tCbvWRgx8eHhzzzOjvoOS47TC9t38y +Z//jzOfgOQ+/Ps7FE0+CC5ia7Nfj3xNT4wwhHBc8BfjshmgbMUjiiJzH51w+ +/u+f4je8GXHAFZEPB8PewLaC198OnwDfmWd5Dpw2J7AaKb/hysDFY8NfgNNF +xvckJjknytDGhdFO8uZGPXBu1AP24zzQ+sAD2L6bwv6R8hs+jbkgDkpck/yb +o8yW35SBf6P8VeE7XFj57ntPZHQD2HF5+As9w95Xws7ODlvL2CG38n4lnxMd +EHk3RBls17SwX9gX7BexRfhxfFb8WfIuC7uGL0b+bZE/PcpzVnRBYGh4Es5F +EXsHZy4NrAlHf1H4FMzb8phHxnVR4HK4F851sS7guXgejApWGh3YCb2HTCyc +d1B/67mswFPkk7ck8ql7cdTfJtY/Z/DwoWgzcVAu+gCPOq2NMTIcCRiS8wfM +Kfwf8baREetvPZcg+ZJkbgqOKkUZ/EHWHusObgud8PeQ8eepG96cOYVPZH7H +JsetT87sb5IPd9Mr7GmrT5fMy8HPXZEcNzhV8uTkcx+nZK7726gfn+DP8V7s +NTYVG0Fslhgq8VP2DpwsHEfXkBlnYgiUuSu+h+YZ4ty3JMcWT8+s0+kj8wgP +xjcLnA3uk6xfz87sf3BmAn6Q81b4JvBXW3xvbMELUQY/jXPK+LazY13Ni3kh +nR9rjHbyXRlrAZ3GfmS/wktSDj+O9TAm1sz1yfEF4gzoYeaDtq8MHYEOWR46 +CvsO3/ZN6btzzd9Ev2gj/SFeS1n0GriAPtE3ePBrk3nl0zKPzd9i/Ke3Mb9I +OXAE32KA5T6RX3V8k79pvLXZuPbiFsewiWX/N5mPwvdC99ZVzRH2VP21VXOQ +e0kuVD1me0r+V7Lt6p7ZVyQuS/xhY/I8wNduTrZFu0v+T/Ke6CH522S70U3y +N8kc4Y+Yx2Tb2FXyM/FtKd+Y8i0l56ZW6P4nyWNATOB/krFGl8xcyPbRhj8n +Y43Oyv97sm3Zg7FKXo9z8emTsR5c+CPJuKmP5LXJGA0ueU18i8o3qXxfyTeQ +xO35BpNvI/nukZgd30MSt9sY341+gY+j8T5tW8ctlxcdAyIWxHek7NPfJ68x ++PxzAh+Dk4+Co0jGwnD2ryfjvP0l/yIZ78P9P5WMBfeTfF8ytttX8ovJ2JyY +xvPJuLkvuDTZNsKXf5TMJR+I35G8vg7IHEPkW0HiiOgNYiVnBT4AJxyfjI3A +SKcnYwnOaYBtXo3vf/kOGKzIOQ1wOzFyYuV/Vfn34ntkvkv+Q3yDzLfI+Bj4 +GouTMRWx+NHBR3E2AHvPuXD0NDEp1gprZrPG+R/xrTHfHKM/OZOHbuS8Becu +/pl8DoPzGH9LPnvBGYx/J5+/R09sSI5DE4/+R/J6Zd0+1OIzE+zFTck2jrME +6J0N8b02323jA+ALrEoeR8bz/eSzIJwJ2arqMyKcFamp+qwGZzbqq55X5vc3 +yXPJnP4yec6Yu5eTcQ/4Z0DyGmWtPp6MX8Gx5yTrdHT7hcnfIXP+cEFyPBbu +a1GsD9bJuuRvxvAJVtPOomN2xO7QuejeG5L1Pvp/erKuQefMlLxNe9mwJnOC +2APswvjk2Dl24Y+SH4nvxPleHPtCfAp/7c6qY0DEggZJLz3Tzt9APKX0yXaO +PyypOs5LvHewygxrMg91e9VxKOJRi4uOJxJXvLtq/Uech7LvtHP5ZVXHiIkV +r6g6bkv8Fl2GTvtJ1WcjiLF1Tt6rfPsFH4HPMTP8EfQg+vBC5q7quCTxSfYP ++2gM81t17JIYJrr23XbWBZfAWTaZj19QdZyaeDVxF8ZjQNXxfngmcBTxe/A+ +HDv+QOs+qNrOse4GV31+AZ4DLNc3zs/sX7VPBFeG7usTZ1r2U/qi3v9Ck/8/ +gHMhnA/plvxtX9v4vg88zT47purYEhjkoKrjOuiA/lXHJ9BVh0heVHWcnXg7 +sQRwygFVx7HQB4OqjjmhAw6TPK9qvEA8/xu9s7uuuxttS7Ap51Z9DobzMHsl +n2vhfEvv5HW2utGcFXip9X9PVO/K+Oaab6/nxffsfNcONqdu8Dnf/+Oz35/8 +rT5+8Z3JPPL0sJX8FwA+/qPJYzQt/meBd86K91LftKgT7MaaRQeBx4jtMl6c +L+GcyV+ScfrMeJbvmvk2m/gq31nz/TNxTr6P5tt44qisFdY++ohvpfk2nnNe +22n9L2hn+0ocdGp8G0C7sfX4BKuLPkvAmQJ8qBnhu4EhuQ+25L8SiElfl/z/ +CJwLmZF8pofY887J/4/AGa855Bd9VoEzC5zvIea9a/IYTImYCGeeOPu0X/I5 +J84nHJxsj7HLx1dtg1mPx1X9DPEU8ClnpDgrdWAyJgAbnF01JgAbnFE1tgBj +jKwaE4ANTqralmPTT5V8YFvbWvbu74OvhrcekXusRyo9IbdtO1HpKbnt96lK +j87NQR+j9Ozc83SO0qG5OfRhnNHKrWv2VHpQ7m8m+ykdlHuMjlB6Zu65PEvp +frn1aV+lZ+Sey+FKD809TwOUnpYbT5ye+3vfmW0dCzopN544Ofc6g9uAV+mS +m6/vqnTv3Hiid+5vZ9e29Xr/P0kLl/w= + "]], PolygonBox[CompressedData[" +1:eJwtmHm8l9MWxt/q1Dk659Th5PzO791vI2meTqOkeZ4kUkTS5EZppkiRE5lJ +aaJRRXNCJUTci1SSJN1MTRLicwfXdC/fx3P/2J/fs/Zae71779/eaz9rVR0y +pu8tJaMoGlsiijL4PRyi6NusKNqI/DG4WYUoKj4vim7LjqJpuVE0Lh1F68pE +UTnamcIouiaJounY1kY3EPw8Y44wvg59m8FraIeQayM/B76Qdj/yUD56ATgj +jqIxmVFUvTR+UlHUgr756Eejbw4ug34c+ovQ34X+Xr5fPcNjSqPrQlsL7k5f +B3AWbQJyDezvxn4f9nWR++FzPHgg+peRL8X+fHBP2kbkHshdwe1pq5G7IbcG +TyqIolasvTR9v4Dnsxdty0fRFNZfJ4d+1pzC9xztH/gqxmzFthfj+4Kvpm1H +boV8HvhZ1nQQ+6exXw0uq2+gr8l8ZzDfRcyxUYb7stH1pj0PvoQ5jOL7mxhz +mPFLGb8RPBH7zcylDTYTwJdjvwXcEx+9wFWwuRf7NPtZGfwy7TPkuozfDt5G +O4q8Ankr+DrG7GB8a8YXgm9lTglzq097H1yKNVbA/nHsS4If5pu1MvwfZWL/ +qb7BOfoBm8/Ac9DXy/B/cg766ayhNWs5V/8f/hriYx/7OIAx6wq8Bq2lgPYC ++J/4+A08he/9Q2eT9hO+b0b+BlyAz7szPUfNVXPW3Ivpi8FVae2QH0a+AFyZ +9gC4MvZTsK8WW1cF+XbkL4LnvgX/n4OvpD2HfBn7dwX437TfsZ+K/l/gy5j/ +OHRHWEMfcIK/+9BXwt9k/H1Oa42cy3/0NfclHXtuFdHfhu4IPs7ivyH+PgFf +RVsrmf3oB26CzwP4noi8i/0ZyZh6mT7Te9mfkegfYWwT7t9N4JqMeYjxw5lT +Dd03nWnW/5juEPgH+n5Bfz1jvgfXZcxu/LfC/5P4H4H8ILoi/N0IbojNbOxH +4q9B8JnS2dKZvAxci/ncyv+ZzfpOsb65+GiBrzXI3zG/A/gYhq+X8/jvwNcz +5hXGtsFHiL0H2osGtA/A3ejbgL4lPofhq3rsuVdFfwf62sidGPuk9gBcJzZu +gn037P/DHEtmOSb9CJ5X4L1XzFLsysd+GvYBf5PwVwO5A/6eoK8WuGZsXA39 +VPR18fEo/m5k/XXAP9NKI8/A/0/6Fvajsb8Q+2nYN6Fvrs4n9o3BD/L9+pHP +8LnIS2n70S9k/BLwU+hP8v32/Adl2Z/T7GEOc+2D/WfgaexbUT5nAv19tIcY +81fGX4f/B3U2GdOC/a2Ov2fBxdi+x5hx9BUrztBXF1wZ/VPgRXzvBN9rh69z +kBciH0dui5yFPBGf2xnXH/8TgmOOYs+vzOl78GHWWMRau9FW6vzSGoO701aB +l2LztdaD/KnOBvNpR7xcy/jhzGMt32jJbxHzWQOezzf28L15yPPACxh/jPFt +mE+m5kffPvQ10S9QLKO9idyMPZ2p+ELbjXwD830C/AjtbeTm6B/W/4+Pi/je +cZ1v8P6UY1kn2jLwgZTPXmfacv1/vHf3MOcxjJlKe5u9nIE8Nst9h7BphG1X +2jOK14nfvkrMbyF4ge4gckXk+Yptuq/YdqQtBW9mL77H3xrW91FZfIEn8Y1p +Oe5ryvfL5fu/vhM/e/L8n+q/HI/8NPtzSm8d+mz8L0b+Crkjcg5yc8bPzLft +9FyfcZ11zWEveAn2p7HvhH0u9gcVg9F1oa0AH6LvS+bYl/N3ivuynz08zbfX +sZ739V/pTmDbg7YaPJW+V9Ffzf7fAX6WMS3wP4Xx5bkbu+g7hr4e498A30jf +65m+c7p7r9P3BfpV6HeCh9L3WqZjtmL3bvpOoa+P/l29V+XoZ08qM/9izuVw +bHZmOsYp1uUopuguM797mN9y5tM0w3256B5i/Q0ix/Dz8HcDfa+C22JTSbEG +fWP02XyzQO9h4ruuOzQI/E2huc/ljPkS/Cj2RdhnYX++zh9yo8gxogLy5YyZ +wN4cZb599V4WOLYrRuWjP0A7A27ANz7Q99BfzLpO8o1PxDdo2/QeM74M4+cm +vkeKEbPBtzJmB+Ob4HMSuHy+90h7M0t3iL3qwf85JOf/HA6bndg3xf5O/bf4 +2JFnn/K9hFYfXIX5LAZ/DN/ZSRua4zOxmr5m6C9Evwq8kf29hL27Q/GN/Vum +NwN9VfRLwYM4j5Pz/QaIM12BzUuZ5lTiVsu1B8ynFvbLwNWYS6Xy5lb6j9+h +7wT659C/DS6mvYE8kD29J5hjiWvJ55XgFYnfrmrYLweXi30Wa3MeijkPKxO/ +lRegfwb8YtpcIhebl8Cn8Pkj/mvQdxJ8qXyi68o3LhaXSMxd9zC39uDerKEZ +a3mLtW0D96U1R34f+U1wf72HyEeQ94F70Joib0deDz7DN/vh/xB7fCLxG6a3 +TJxuOfjD4LunM3IQ/JHkyBz9ELhNYm6nN7xt4jdDb0cZxn9R6DOqs5qFfBx8 +dfBbsJ7x1+j8B//Xm5GHgK+nXYG/jciDwZ0Sv3378d8Z/HVw7BYHOwN+gr6y +Zfz/zgF/FxxrxTHOgjsk5iLieB3Bt3EWFrDW2jl+E/rrjpQ05xkA3ktbHDnm +7AO3Tnx3xCl/Zj/+G3w3ZzGH38Al0J+bZQ4UgVsl5mLao7PYr8dmRGTOvAH8 +XvBZUkzZo7eU9ljkM/Y38JZgbq0c5gXwr8F3eyZ9v4C/KjTXqViKMeI7ad9V +cVxx3ZXBXFYcfxW4JfM5nOM1HddZQD6U428eRl4RzAV0B54R9wvODZQzrQN3 +Scy9xAG7Kv6kzd10Zr4FP41N98icYjG4R+LcSd/oqfOUmIscRO6u9z/4rdWb ++pTe0uDYqxj9Frhb8Nu1Erm7+G0w912N3Ef3IThWLUZurb1MOzdSzFfsvzg4 +Vi9C3xLcNDj2K6drJr6DzQ9lnOMo16kVnBuKY9UGr0ibayhmK3ZXDX77lTNW +A1cPjhXiuBdpruJkkXOcSuBGwbmNOFgReFPauYZilGLVccUMcXf0J8CvcRYz +iDkTsx3j5gZzYXGSJzX34FxWHLi+/n/xuxKOEafBjwfHCnGQ2cFc4V38jc01 +Z7g/mJuJsz0gLhnMVcRRHtPZD+YOyjH6glczfhbxr2VZ35Hp2oMMc8xSxJ9R +iXMvxeDR4PuCuaA40Szw3cGxWTFyBnh6cKxUzL8LPC44NorjjQePCeZ6W5HH +gscnzn3E0Sbo7tPXD/0W9H8BjwyO7S8i3wTekHbsfIc9yyC+TgmOreIEt4N3 +sb+9yvu86g2KWMPNysWIx3di3y4491mGfXvNJ3EuLU47VvEimFvojZsMnsz3 +KmbYRwl8zSkw11MOHgfn+Mr19Wb2V32Avl6MX0FfV8WrAnNH5bBpxbLEsU0x +Yiu6V/UfRuYkr4FfDM69lCO/FMzxxfUX4b8o9hq0lnnI9ZCvTJyrinP2S5wD +KhcUx/ow5RqHah1LsG8eu6ah2obemFbIw4JjsWLwUN01+jqz3oXoG4FPp/0O +6wx/BR4UHKvFOa4LzmmV24qjfpRyTqvcVpz945Q5uri6OOCmlDmcuJw4+2Zw +R76xJtMcRFykf+JcV5x2QGLOK+4rDroh5ZqLai8a0wncKvjuj2H+lwTnbMrd +lCN8knJOpdxKHPI95ceFfqvOVw0EeSatTmnXUPrFfrP1dqum0Qf5WPDd1Z3/ +Enxt8FumN2QgeHDiWC0Oc0Nin/L9Cj56FprjieupBlBFuTpnc6Q4f7bvXO/g +WCeO2Etnp9BjlcMrl/97cG1MOftR8LFCv63KyZWbD038NokDDQOPCr4rukM3 +B3NScdM/a06xa1SqVanm1C52DUi1INW0OquWk3YtRDm2cu3HC8z1yuEzFfwG +6S3SG3wSfEvwXRaHHR2cYyvXVk2iInhE8F0WZx0O3hFc+1FN6JXgnE65nXKK +jSnXxFQbU07eHdww9lkUhxGXUY6mXE01tWtic1RxVdW8BiA3S/z26E7txf6u +tLmSYppim2piqo0pJ6+g/yNt7qQan2p9ylGUqyhnGIH+9+C1q0bxP701se+e +agKqDeTF5qI6QzpL4mzibsv1BoBL5TlHUm6kmD+7wFxYHKIwONeenmfurJx7 +Yp5zQuWCytHeyXNNVLVQxfhH0uZ2qoGpFrY7zzmccjfl4E355uJMc0RxRdU0 +VNvQG3iiwDmXci/VANbr/gXHQuUMHYJzPOV6yomGxM5ZlbsqZ18L7hn8VivG +9RDfiL1WcVBxUeX4yvVVcxkkrpz4boqT9E5c41Stc5VyoNg5qnJV5eBrUs6J +lRurZrAO3Ca2rTituK1yTuWeysGGxa5hqJahnGpw7Bqraq2q0aXA29KuDekN +3QqekjYXVkxXbG8cO7Yq5in21U/MtcVxlvG9tsHcQzW3NsE1C9UuVLO8FvsW +sWNrF8Y3id2E//wPFEuD3wLVZDqBz/J/byrvXFwx4A9iOP7W + "]]}]}, + {RGBColor[0.2900108775, 0.3192062175, 0.3421045975], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmneYFeUVxofdvfcytF0B584dbmxpdowaO4KoGANqNPYOFmJLQ3RXY7Ar +JmJsiVIsWBdFUJAialREQQMYI4n6BGwgWCgqNgg+eX++x4c/7n5nvvnqKe8p +s1sO+c0Rv25IkmSJ/jSqfbGUJPuWk2S6HtrUt02aJE90SJKFLUnyYI8kGd41 +Sf5QSZLt1b+vxk8sm56gsaNifJ/E7bZBL9fcU3omyZSu7tsu+g8t+Zl9HtE6 +O6Rer117dyh5zRWaO0xzT9PcyXq3k8ZMUrt3J8/jbDvq/eMad6rGzFB7vs45 +RPSF1STZtClJakWS/Ed0Lvoitdd1TpLeWueEDm53Cpp77BD34qwDY9zHda2p +PV5VO1t7H6C+59R+pn3W6NemsdP1vKf6Z3bw/bgX93tD+9W078VqF+lXFd2m +dlud6VbxcUe1Y7onyebN2r9LknTqlSRzNO+UPEn6q+8A3ecxrb2r6ANFL9T8 +1pruqb42tY+pv5vONlFzp4j+ROdZKd6cp/3P1a9Re0xrMY/gD/s81MN7XaBz +9NR6mc4wXHQP0T1EX6cxEzSmj9Zp1tx20RPEi1e7Jcmnou/u7LvupV9dc26p ++Bmac9EPPxZona7at6fGX6H1d9X7Llr/StG7i+4m+irRe4luEX2F1rlcv37i +/1itMUa/VunCY3r/TmpZ0r4b9LRGj5/T4LHMaWv0Oozh3aX6jdCvr9bcpOwx +rDk61kd/Hm/0mOe1znvqW6pfpvWvVd8y0S+qf4naSyrm0dQm9yNL9mE/zoP+ +j441GYudoEvoMfQNaqc0eQ/Wv6pi+oWGjWeaoblXV3wG3v9KevCS9OEstSPF ++wXoNzYovhVaY2vxbWHIEXnun1o/t9DzZXreXm1HjZkf8kXOl+u3k+hO6v9n +2Ai28nKsydpdJLfjtF8P7fWvqs/bqva2ivdgfezjYenRx9KTks51DfigvqE6 +73zd57+61yVV60VSWO/h2eaF7QG7+KHoP1a9XoPo+0U/L/pNtSP0+4HoJvVf +Knpr0WXRY5F5rN8aZ6sXtm1sfKvC9sk5X9OYQWoPSb3WFtLJ62VvO+jcC2U/ +O2qtV9Terfauivc4pqNsoNGyqKmvpeznVOsuFX2LxlcL69amansWlnd3taPU +PqGxB+jKAzT2QP1m6blZ75r07sGasQkMSvXuT+qbqff7a/x9ou+tWGYT1T5c +sc2UNHeBxl6tubdXLAP41VgYj0aov521K5ZrZ/WvVv8Y9Y+rmF/cvav616l/ +PP1hL5vE3VrjvmPChtDhGys++4E629Pqn6axB+m3Ouz7Kb37XPTroheJvqlu +jLlV7SXqWxJ6sDT3XZervbnJ+I4tDKkY53neEFi1VvRfNXZDyXSz+jaonacz +fKYx88te82K1r5esB/1E99VvRqNtBt+1n8YfgA6ULY9PArMZf5HaV0s+f3/R ++5Utg+fCttFR8ABcADfAAdbun9g39gn/CL6AQeDVPviksp/3UturyfOZx3ww +ZAvxf6TozdR+r7Cd91LbqrG76TwXacx2sqPR0s/DpZ/3SZ9n693rah/JkuRJ +rXuxZLdYzwO0512ZfePMFvtH9II7ofOnBG+gh8kup2vMYI15PzV2caZ7q77z +v9WuUN/y1PoIpr0T+Hl2T+M+mP+Axs3R+H9UrY+HhDw+VvtRan3Bdo7Wb7b2 +/VB9H6S2ibfVvpWar/iE+c32C6tq1oPVNWPee4F7rIvdYuPo76CwX3zguO72 +g+DEtCbjCLxBrpuJfklj5+l3TpP593iTceFp/SY3GQeL8De52mea7GPAwe/r ++c/q31Lt3/X8aJOxFV+NnwPLOhT2c/jhF7TPnNTy/pH6b8DW1I6vet1X1d6j +37OiX6van4/tbp++LOwC++A9vgEsm1u3/DdXe3fV53hF7TZa9yat/+PCcpje +ZLz+IHes8ZbG3FX1PReovVJrf6j+xY3WO2SODsODxan5AF/hL3z+NLWd8AwN +dgxNzMu5Edtg99DoGfydF/3gBPJ/qcFnhAY3TpeO3qn2YJ15fUfjCBhykvpv +xEYL4wr9TzY65kDX9ulk3r6YGjPAcvQbfUZXkREyBb9fDP7TvhD0mtRYeVxi +HoO3xHj4p5H6HS9658I4iv/p0dkxTnuD5ck6N4QOI1N0jBZdBtsHFsZm4hr8 +/vUNxk9inz0DH9elxnHuf3JhTEol0zNTY/v/NOfMwnzqCnYWlk+nuud+HeNY +D92Dz8eIb1doTN/CsSk+mHh4VWodHah352rMROLrwraJPNATcJDzz2swf1YH +T4dr/CyN/6XGFxXbD7LdobC+48Pv6WRZbxYyfylo9l0Z59umah5PqTk2Hx58 +Rt/mBD9fLllX0BPiGs7EecB+fADneBTeiJ4cPhA+LGv0vpxjbuQJ4Aw8B2ug +ibPmlYzlcxusR8TC6BLvj4nx+Df68HGryl4fGXWpW7Z3ZI6P0UXGfqn3X6XW +V/wsNL52apwZP7U+9ZnhOznS0i7OUdhn79jrcY3/Jt0475u4L+c6NmKOY+Oc +3On3NedFC2qO6fYPH4aPHh1xLHYPr+EzurYu3cizdXGvowrH2MTavUIW+KbO +dccd4zLjM/EMWEcOiH8jLv267LtxrxdK9m/E2/hs+I1Mwd3xnawPyAYafMA/ +DAofMbXm/G2Y2tML8xl+M/aemPtUyffn7uRAnJGYfG7JfhQfik5wnpV6flu4 +VyLOUDuk8F2404mFfXLHumWyPnSpUrc/vz3zO8aMzmyT2OaYzPEXMc2i8OP1 +juYZtoLNgCfIAJwEG8FKaHwtcRBzsc9y3bH/bZlxaE3YGnqDPoHJxHtfpN4T +P4avrEX7YdDg3Irwy9gu77AXbH1V2N30iMk423tlr4+u3lf4/Pdm3nt1ujFm ++yLOydk/jbuMC9wfG/6XeGt4Yl+xJPwFcS40+QzxC74a3hErEDOgGwdnxqHt +Co9bHLY/MPMZdwofy52Q2aGZ9/9pYb9IbPpdrgaNDU6P2A6dvDTiiRERs38b +Fza6XRtnJp6Hviv2IbYBE2jhJ74Dn0g8dG3kW9wni9iPWAXdw/9D94z27aCJ +oZhLrEjLWtWINZbH+uRO+BR8y5FxlqUNPhfnGx51klFRx6D/sxi3e+F4hxwI +Gc/qYPwHa8F7nvsEvsAfbGh8YCM+jFiSMfsUzmnIn7AtbAycGVA4VyAXPLaw +rqKz54atlDTmRNEnpNYpsAr8Aq+GBYZ1a3T/hng+vrB9VcLuwHFw4xeF833y +frATDEU/ieEWVBz/oo+fhy20Ee9U7IO4O3eeFXdH59Et7r0ysBV+kIMyhjgU +n1dEfPRR0LxHDozBj2NfoyJOYQz+CL+BrqAnyI0cEV4O0fvBqX0FvpT1mbdf +4VztsrjXl+EXBke7tsH8404fN7hGQ8zLWbgv9n9F+Hv8/tjMd1kZd8QXn1sx +NmIX+CRkfURm3dmLHJT4sWS8quj5DT1fXzP+c178JvEOsT9YyV3IDZH9/Jrj +lrOqzgvBeuTFe+biO2ZmziXWVL0W/WsDh9EV5LpHzTHdR+T4ussA7dVad04D +jTzBa9Yn5gHrZoXfb9E656fO89AhdAtfdVHErfAN/i0Kmhya2hbxwsMl54bo +4dKIM4k3Odd5cbZ1EdsQ4zTH+ozfrebc/MPCd+F86Py43PwcmxtTyGGx2Rtz +039R25Y7f2zNfS7GczawlX5i1PbcsfeDai+kRoOeq30/d4xErHRV7hz2yjz8 +R8lx+PjAT3CUe3Bn7tIYPOecu9ac235QOP5oDJuFh2uDJ0NTy5U4Fbmhl8hu +dcSHxIms3Rh2fUfk3KwDn84PWWxddXzxVm58eyLiK+oIrH9PzbkHscghcRd8 +JHxYpj2uUn+m/kMKY8LhastVy69P7poI52hXe0RhnDm6cMxGnEecQZ2DNfET +a8gdNHcrzf1Z4bhnEDVMzZ/CeTLXFaCJJYjJyde+q0/iL/FDYCU0uDos4pPz +1a7PzIveuW1hSNjSobnx87DcNV/iPPCH3IKaHPE4OQ64Qy5DHIbNoPPMo5YE +9oIN6DaygMfYAHwuVV3nGJEZJ/AfYBa56fSIu6hPzIxYiBi8CHx4omZ6Zs3+ +49u6S4P3QQ/XRl4zOeoSO9Zcx3i/sI+bFrHWbwNLmIvclsU5OSP2w/k2RF2m +W8TG+Af2wc7BbHzPzjXXVVbgZ2quzywHL2uukyxDzuLjGu0xNfc+0PAKvAKr +0DkwBWx5KItaVNm4sW9h/OxfGO/AvVE12wN20Z45dkZ/wLj3tEdF9DtqN9W4 +7UT3rDmOHhW5G3U96nu3qt2zsI/uU1hP7yj73ugIGI19/q7m7xh/y/zdgP3w +owMD4ydFDQ4dGou9FvZ9BxX2C/hX/Ad7nhh8BOtOiH7yXs5JrI3NcS/sDlnB +Q+TFnTg/5yD36R+1LGLmflETQwbI4sHMz8iCOGpJxM8rcsuG/gcy6wS6cX/m +msSMyAVYl3XQPfSRMXMi94XP8JC4nbgZHUPXqZ2SpxD/HJU6FiGP2CdqZcdV +HOsxBr09MsZQ/8Dn8Q7ZMpf4elXuNVeq7dDL71eDtbl5gEzQLfhzX+b4kXXw +m8iIbzycFV7DZ3D7gsJxyHPyWedRe2v28/YR54I/g3LrI1i4Sw/hT4tr33wn +GdnsWIxvL1ObHZeAP2APc/m+1Dvitn4VYwHv3gmd/Ejtwtw1zwW55VkJvX1W +z1+o/5nc9fVyi/Pq3oXzil0K13/Bx0trjs0Xx7nxacwFz8F11sdmqZNQN0G/ +4CUygP9852lpcezD3SZ22Rg3tUc8ib/EBidkxjpsk9iJ2jQ1wWtqzvGpfWOv +zAEPwFi+iRHvkq/uWjjf2KNwrsyd6MdPEjcQE+K/qJUQN1AroJ6LHRCPUP/F +z+AHbij7rmfmtoGham+puyZ6cz2+mTX5DugQOga+EWNcGdjFNwtq1uAmcTQ5 +Lf4cDBwZcRTYSLwFPuIfqFPD19Nz29sZuc+zMjD/u1iQWAv9PTJ0eGLUA6kL +PhI1WGqx1JyQCblS74ptn+eHo5ZITXH7+G7I98NHox5LXfbp8D34nb0Du/aM +/K8hdQ4LX9sCnzcpjOmTava3U8MH4btYB5n+JHQMXWMO2I4cJ0Vdmvr05Phe +w3ebTeObyAnYU9SpqFd1j+8jx8X3E2yP+J+9OcPkmvlOzkn8g99E7sQtD0X9 +kzooOts79PbNzPLrnDtXKCJfaO/q57bgOdgBnvSMPAx9PqYwVlNfWZhZrh1y +60dr8Add5jzE2ROipkpt9bCIYYhl0G9iWep35OXQ+CbwEtwkpgcn8d/kyI/U +fb5JdeeIxFLgOToNTU2EvBIfD8aSTzMXjEXHvwjdQh/XhG8mJ8V/4wvWh60w +BqxmHfJrauqcBwzn7JMjniT2GBaxN3hNbNA38v3JoYfs/0ycnzWejXuxJ3Kh +hnJg+DX8225h19j3zyM2I0brF/4av31kxHjEepzxuTjnt9/kwk7xDY/G+ug0 +ejkgMZ9mB6/I2+hHVznv03F++ubEeGTyfMhoUdRosH3qrfTdKfk/n9n+v5J8 +J0aNgloFtjsk7PfU3H5rcO58CWx+N7ffRqfx1+B+W8SEveL7zimF6/XkjUML +1/HAaurO+AXiCfKBGVEDoRYCHmEj+KYhuetxp+X+bkSdYXDh7xPUUE4r/A2D +bxknxfe9oaEHb0SNnVr72blx+Zzc3yfIgc9Qe3Jun83/HTAHuwO7GsJHgBv0 +DQ17xJ7gIbY9O/JQ8lHuDI6D4dT9sB/qF1PC5+HvyGX5TkO8+n9SOf/o + "]], PolygonBox[CompressedData[" +1:eJwllneMVFUUxu8OO7PA7rIDs8y8uY4RazQUUWlBVpFmFASxgoWmiGKN0o0J +iXWJiGgsINgQZelVwa6oFGUXuxCDbRFFEKJGjSXx9/n9cfK+c++555537mlH +j7v5gptSIYQtUDl0ZgzhTr6LK0LoC+6ShJBuEcLv6RDeAgeomQN74OeC19eE +8GsuhOnVIRxsHcKwfAi3Z0IYzf4m8AvQmfB9oVOKIUxA50PoHoiqa8BL0LEf +2bvYH4XsE9BZ7L2JMcsLIfRCZiHyx8H3BE8tcRd4EPdNB/dmbTLyzyBzOvhe +7mjMeG0zusazNoe9AfBXg5eyNpD9QVBPZIeytoK9NcgMA09hLdUqhFJLfAA/ +reS7emDjvdhTh73LwW3wSR/w/HYh9MMHa9E3vMo6pft9ZCayP0T60d0NmweD +u0IjuW8ea6fIv9Aj4BL7ncHz5C/2X4dfyn3HoGMuuv7B50eDL0TmFfY3cOYi +8A7urqoNIYeNtZUhdGdtQrDPeoBvx55XsecG+Bng9uj4LWWfN4AHIDMX+Qa9 +CfgQa22RHwl/AJyH7k77jM7eylu/mA1hDPelkTuZtSfTjhHFynzs74u+N7B/ +Gfafg86ngn1wLvjNxLE0h7M3IruzYNlaqAm8RO/PXj/otKJJeBtnruHsMOg1 +cF/0fY38Kt6nodoxodhoZm1LyjpO5Wwzd3bkPYdy5kfOPpf32/ZmvyP7I+Bn +gm9hvwl8IXQH/AT4d8D1+Hci/n0G39a1dgwrlreyfzX6NuGLyfikFWtXYccy +zpwNfhGaiuxXyFxWZl99Da5lraP8hv0TsXUftD3lM73Y6w4NAG9H/7XIfwvN +Zr+Cte/AB6EsuMj5/pydjvzGjGNqBXe/3CaE27BnLLbUY/NLWb+Z7tfaH5z5 +En1foP9udH0H/17KOdpVuVNw7OWgHeBpyHyE7Az2h6C/EX33oe9kfDoJfY2c +WZmxjTvARfzdnrN3Yl8E51hraOF/bq/3jI79DsicCv6MO94GF6BPwa9gf33O +umdV+k7drRheCf4EmbeQzUMfgz8quFbozg/BO7mjS4VzWLl8VMl5qZguO8I5 +q9z9V+8N/oW71tW4dumNP0DHu+iK0PvgxsSyj3J+CvcfQue4Cv/T///GWv+M +30xv9wVnNnM2gT4H74W2pizTjf1D8J+k7NPp6N4N/w6yRWgX+DD2NCmmql1T +S9H/eg93HgnOQr3hs/BtwW/zf43g4fzDXvBI1u6AP4N4GAE+L3HsKwaHgNdy +R1na//Az9vxZcKwrJhQbhwuu3bJRti5QvU87R5Qr6+EPw9fDj4dvDX8gZZmF +4AZ0lle4Rv3F/iJoXcZ36u517F+OLatZWw9eBP2VcQ0+hOzjeduumLpUtQlf +rOXfVvCGy6EF1NsnoE5Vrrnl0b1BNT8NPkexLv/xls3ITCr6rsHofBbd32PD +tpR7QA+9JfF2Ws66B3Pmh8S5ovr2EP4M0bVZOVYGTkXH7mb4FuBJOcesYnVc +tWusam2EXgZnss5J5aJsUs1S7ZJPJrP/SMl3bUDuh5JrrmqvcvxnYfTXsLe0 +0jV+dHQsqEeOiq4hqiWK+aaie4R6hd5oA3gsMvXs9UN+DPjK6NxUjb4CvIc7 +O2adI1vBD6BjV8YzQGPeb6y3Vg/YC34MqguuqaqtZYlrp2YCzQYPl1wHVQ/3 +wj+N/KDgnFqDrauLjt1trKXhn8p7FlAOrFbs1fpN9Bbr0LNQ+RVcI1ayn8XW +DsRD5yr75K7EtUwzh2aPhcTGje2cE02cWaCcy7gHNbP/ZN6zgHJ0Ffry0b1n +JvKF6BlEs8gMdO4GL8k5phRLysnW6uHl1lkJ/kb5y7+fDt+Ju46Jzv370Xes +ZhPNEOW2Zwp4ePSs0ZO188Ft+N/GGvduxXhd9CxzIvt9wN+qHqG/Dv1d0P98 +3vgM9RD42fxrtxr/q3yyDFtn1bhXKUckI9ktynl8dVR0rVVMdAAfH117NCOd +AK5M/O/KaeV2LroXqKbUyt5o25XjNdEzkWajJvip8J25rw/3vcfamMS9Yl/W +b6meURU9Cynnq8EnRtdazYQngS+Jnm1U4y5W747OXc1IncAPJp491aPVq2fq +TTOeyTLYcnn0W2qGuiy6N2/MOjf/79GJfaGep943PnEv18yg2WFC4llDNVu1 +e2zif9Eb6C1Gw7+b9pvr7a9L3KtVU1Rbrk88+6mnq7cPUE+q8IyysuSZR7OP +ZrrD4KuiY0UxPg68qejaoTM6O7PoWqOZbiPy/aJn80745yzwgrxzWz1xRcEz +gWYDzUhDsWVf4v9Wzf0e3DL6bDNrrcBnR89+iulB4J8SzxrK8f3gadFvqxhW +LGeiY1M1okKza9G6NEPuynum0mwlH43i/OK8c0MxodhQD1Uv1cz4N/g/+amr +3A== + "]], PolygonBox[{{7378, 5236, 4328, 3427, 7316}}]}]}, + {RGBColor[0.3284250725, 0.36217293250000004`, 0.3856989525], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmHuQlmUZxl922e/j+1j9lt3l3fdd1hAqZtIEUZEmTS2tTIFdWMLTDOEB +UzkV5YKyk9poTC7TIDbTP8pioaXYggY4cj6axWEBnSZrEg8t/cG5Ipsi6Ppx +3Y5/vPM87/M+z/089+m6r+cddtecSbOrkiTp65ck1WrHlJJk2IAkmVyTJC3l +JLlAz3iNb9L7HRrfrck7yv7GeFslSRY1JMn02iQZMTBJPqvnjL6tLiTJbZq/ +QXI/V5ckT2pOW63Hbo/xNVmSLJbcYZnl8u1ltc/q/SGNl9VeI1njJHOBxmdp +ry7JKWpsTcFnY587QiYyztf5x2v+Oo3vk4xtUmq/xl9SW1Vj+R06T0FyHtF5 +7q3xef+i8U49M/snyUad7e2idCz6fbdk7tHzU/UXNiXJPLXzW7wne3dJdqVR +75LZeF6S7Cp5zRLJ65X8rfq+T/1Li5YztL8f5m2q9tjuGH9ROj+uNYPVptJj +sJ5jOt8CfRtb4zPin20h8yHNm6rx4zrXPtmnrtHrOCs6c4a/6lu75kzX3DWa +M0hzVkn3u4u2CfM+1JxJ6t+tOYPzJLlI9mtQe7/G9lbbPu9rTpvev5XZzlfp +OShbPauxguZsUDx8oDkT9X6n5hxS/5vq369+X5Nj6tvq/039KerPUP8pPXPU +T9QOl17bw18XDrDdetXfKbsO0vOkzvym2gY9i9R/sFm2kw7z1Z7W/E/r2aE1 +8+Sbr8oPK1usA7ocV7tX+2wJmcQrcYQviYkhZduKeCK2GfuX9hmjZ6Xm7tHa +zVq7V+MXDLDvmM+ZumTvHq15KPZl/yll+4VYQlfOdqDKfrmkYJsT06x7V3M6 +csf0vtw6MH9yYntgl/bE9sP3+B1fDR3g86AT/bbEfsZ26EiMMH9SYlsyPlH9 +EWqrI97wD/Kx+dmyc+G+xOc/G/1X5a9xan+RWh4YgUz2vLzkfZ/InEsfNXmf +K0re650aY8IbodPYkvXaXLLPdoR+V5as454q58QE9W+SPb5RsN0/pTmXaU5r +4nONCJxB9oiQj19Gl7z2xoL1QxZ9dOYd34Jf+Pv5Ztsc26+Sz16S715RO7po +H+GrN/X+Xr18pPZarTleNiatkF4Vyf699lpR5fwkN3cHThAbfD8Tcyol5wz5 +skjnXVn22KY4N2cmD/q07nH1O2qNY6whpiqxtiNinthfX3AOgnU84MRmzfmZ ++mck61S18Wt4YBr2Px1xiP7by87nzv6ex/m3h33A9heabbdVqW0DJjL3t5Lf +WbDcj32DX8aGLOSAB6cCE/6n92Pq96i/WOs+qvE7e6M7tgIzkIP/R2bGlFGZ +awM1Yrjax+qMBeTc+tD59sQY9YOCcWp84CXfqBs/rnWOPaxvS0uuO5WwKbl/ +XDq2au5q6dgpH9+o8QUtrh1tBedQMXzF/Ab2LFre2Nwx+5LWnpScdn1bm7pW +Dim6LvS02G83KC+eqvIZNum9q9Z6cDbqAjFH3HRK5ibJWZm6DpzSmmWJ85V5 +xPBcjT+mOX+Q/HGpbTBf9nlPe7TqW2vYDLtjc/YDa8hh4gP/EA8PaP5i9Ru1 +58W5fb48td04F2s25K6D69XOLtr3+B08vClysyO1n/dSx2ucb8T1CskZVev8 +IL6Qw9pjstV4zfmN1l2eGyd+ldp3PbX2H3VzQsG4NSY33ryoOety+/5htce0 +X0X9I2qP5dYPrAIzJxaMabNS22BLZrt+uWieABe5p9brsRm6gsPtmt9BnGb2 +PbEB3m5UO1LzF1RbZ3CJWH2r6Lgn/080e981qceIJfLhSJzzuNr9Gp9U8Bmz +3DjTlDsviR9yc1mNc5j8OSqZN6v/amqd0X2B2qdrnEvkEfjPHGoBMUa9w69H +mn3OV9JPsJI6Ts3HFtihJ+KHONoRmAA2gGO7okaA6WD7v5sc08Q+eYQu6MGZ +qSPY++Nag3+pQcsk47mS7dZd8jv99lrbtDHyiRa5U3WOJcRD5u+s5VsSPKFf +5rFlMd4d8ojxteI2/2wwRuPbQtl2HyTceLnB8ThMc3oa7Mtn1H+jwVg8OHhX +qnaRxn+t8evKjl3yhbzBBtiP+Nh4vnKhwVj+lvqn1P/5QHPCrrAPGABe8A4/ +gw+caDKvhd8OVHt15lrypcyYxT74A93QEZtcEHyX/ITbwTHhhdc3OWaPau2o +3Bj8Qmo+gt58qxpiWf/QnNG5a/UvNefvmc92MjOXot5Qa3pzxw7YcGvqWvSM +5rSm5gKPq7+8bPyn5rJXW+QRtYj4BO/A3a7AN/yFL/ETtQvuBZbOy80FVqTW +sSX4PHp3lz7B7O7AzMXBz7AtNm2ImOmU/Z5A32rjx6rAEPy6KPRaqDlPas6h +auPQ7MCiHo13F1yn4YfjCs6n6alxd3XmeIIDUvcvyV2rn0+db2BBa9R39mMv +sLmvxvh8MnWufkZyntZzUP0lah/IXDuoIcQNe8AvFmbmTD/KnK/vRMzdlzm3 +wMJDqfXJMsf7axWvn5DZ58TFvZlxFXy9J7Pf8f/cOBc8Y2vBPAwOdkvZnI+6 +MFzyflJv7B6p3Fla73wdo/Gv631/f/M++B88FF5G7aaG74k6RS27XvO/Vmff +0y6rd588mBLcEnnP1Vvm/txrD+Qhq8q2Bhs5Z3vgN/UV7CKHyVHi6q7MfiAP +vpPZl9/NfMejnuG72Znr1pzMcQVWEkvExMmol0OCE8FJrg2ud65+Vvud/muZ +569Vu6DZNaBT7dzMdet7aotNjq1ryW89h7lnZeancB72AKefirrcllmviYEN +R6uMg3Cag8ELefAdOTkts22Ix6mZseHiuEOsDvw/nbqWjKbuZOaE+9TOjDo9 +cEjEQuy3PTM325a59pwJjkuN+SjueODbbXHXfjp4HHbbGpwN7sY5wWpwkjjF +vvCYd6NFr5HhY+6LD+auwfCXz+e2DXfNHVGLqcncG+Cv3KVeDywCk07kvsee +zF3jwGi+oRs6zsoc08QcuHpp7pjlvsudg7sHtWtGo3GcXJzWaHwH26/Ife/i +/npl7rnca7Hb0eDqYDG15VytqLGefOMOxF2IO9lluVvu4tzReyvG8t7AWLD2 +UNgS3PlA3++sM15eE1yM2Pt+Zm76YOYx7Eb8XBX3C2pInzjnTuXUthafHf4C +FrRK5vv1ro3TJPuDetdIfF0Jrr4uNcf7YW5bU9vBqRkVr2E+OYedyIdbNfbH +eteP7nrXV/KSuCgE54c/Y0sw8gshl38AuyIX4Iro+mG99cVv5/6LxD0XnCW3 +iTtim7s5NWFp1Aju0oyRs+TcmdBnWdyBOAdYf0vg2+9ajGcXttgn8BTwcUe9 +/2dNj7pFbQNPk4FeS73rCA43L3NNeCTqQnfmPFqa2d5wIGwOrsENVwTvIm84 +a0vwLPongqPCVblztMa9g1iAxxMP3B+oq6/n5sXjgxvfkBsXuX9coVqwpM41 +EDzeHDa8LrdM7jpX5+aK8Mov5uaH8MSv5OaucFjuUgfjvw91nhqE7vzrAqOo +veh1oGjdqJk3R92EZ9XXOR/+nDofzsvMeScG7+2NfxbYnP+CF9WZQ8BrVsQ/ +L2p4Gnc56syW+PcyWz6aXPHeDze73S4/9kW9pm7Dud+Of3e9wa/gWchCNhwL +3F0c+D84cpdxat7+8Nf++IdC3Z3XbM7C/7//xn2Hew+xBe7hv32p62t15rxB +1/b410GtbY87al9wSOLqbNRdMONw3Pd4wAL0oQ8vBTP59zmz4nyC7xwOrOHc +G4M39hviHB3a4v8iZyNu4WzEMHkA5322Yr7CGOfgDHUaf7TO3O1PwcPh4ztT +37H/E3dYcAjMAeOoVeAX3OpkYD0xszz2uiZ3rHLnKzT5X8ijqfMTv2yI/zlJ +/MM5GnWCveHgXRXjDRwI22E3zrw89LoueBP1+f8Kwin7 + "]], PolygonBox[CompressedData[" +1:eJwtlllslVUQx08L91ZK8V5ovZwLfVA0JhJlk8WNTcSgAi2lGu0DIJsoUBSF +UqhoDYpCYyo8+MImCkKbtCAWwiIRwbhEbEEfXKLEmCKLlKLBXePvnz8Pk2/m +zHJmOzPfdTMXlVXmhhC2Al2BOTGEqYkQSsFng3cBFkO3I5QLviIbwsFkCBXw +mzIhXOQsBZ3MDyGnbwgj4U+E/hydJ+Gd6xPC8G4hPAg9HN5Z6GHQ5dBDoc/1 +RhbbD6BzF3QBOheg2+FvBn+jVwiVwMm8EE7g4IJUCDOKQqjrHkIed/ZPh1DC +2ewCfAZ6FoZw6OoQ1sJfA90PG/XYasLfTvyt4f4vsLUCW9XgGfir4G+B3w7/ +sWjfpkDPBb+ET7OQb+iCLPj1nP2Lf5eQ2QfejM5hfM+F3kMsL3H2NXgNZ6Xw +znDH0G7O6RD0ry0Gx68i6ZCvbchM5q7ByLQj+yOxHgPmIHOcezuxV8G3EPlf +5E803pez8dz3MjAicSUm9LdjrwR7Q7B3GnpHxrHIB/mygvsn9LCOdM9zNgLe +Q9C34V8v8lebdu7WAnXQC1POtXxqwN7U4JqqtrejMwF/PkN/Ab69k3Et1QPq +hRzOFsFbhU4rvK+IbTb1mUR9lmLvL3x4HP535PRP4dG9Uob8vOgYFMsUzgZg +L4k/s9CfiP5zBc6ZclcK/2b4b2fcu7dy9hO8ZuIdT7yncugB8E7umIbsPGT2 +I7sz47vUk+rNP+DPhb+Us2PwzkIfx7f7iOcO7N8J3A9+HJnK6Dt0Vxn0oKzf +iN7KKej14Juie7kWnUewt5Zczqd/t+L/GHJ6Bvtj89xDNeivi9ZdCV2O/C7g +xqucY+W6Ebo8uGaqnXpOvace7YQ/PToXR7GdT39d5Ky/6oFOB/huctBAPmro +/+XgFeSzJ/VuxJ+iHj4TTz1SA74749gVs2KfH90r6oEnwCOwGvoyMfcGX4ZO +VVfnvBp8VXSuldMXo9+E3sZHwAHwveon8CPAyqxjVuzqiQ/Bx3FWBn1CNUG/ +CX/rUs7dAOr/Kv00LOXZMBC6Cp3Xkd+C/D/ge4BJ0JOB0VnnRLmZhE/Tomui +2mjGtYGP1h3gKd77KPCfyW8bsZUgMyZrG7LVisxi+O9mzCsFxsLrQP5krmO6 +B7pF7y/pGBRLLVBJrYqBQ1nPIM0izbfl4K3EkipyLTLU5Dz2WnMdwyjkLxP/ +XmQu5ruHXsg6l7Ip2z3RbUtZdxf5qOX+zUnHlKdZi8+HiL0RuhX8+bTfvN76 +K8D+rN+KZvwB2Ya3AXvN+Z65DeicVy3hT8f2vdj8Ms89tYt674C/Lnim7gR/ +K+NctyC/jfjWcV9Lyr41Ffgtpwt9t970MPClab/tZqAQ+uG0Z0Ud8Gv07Ky4 +MhsrsV8PvZ77LmXcg+pF+dgIPpezNUn36Gnw7pxVJ+zjN+q/6FkuGckqJsVW +w9m3Gc+qoYX2VTPrAvLf53jndaj+0btDO6ZFu4t8nMh1ze8mf1voz8293Kvv +cdaWdS7qkWnVe0J+MLEM0n6Dro+ePZqZr4EPju7lJP04CHxkdO0+RSaJ7ily +PiDtnfJJsXffTWnvQu3AgchvTLjmf2e8M7Q7DmvHw5sVPbu0M2Yqt1n7pplx +jfYBtvql/LY0I0qQKUk4B5PBD2bdy+oB9cLRYvdyOTqnwTcR+7iUY5eP2qHa +pbdAR/BngS7dPOO20x+PRs967cQZ0TtBu0E7dTX0D9ibn/L/hnb+mxnPNvm0 +BFtLkGlLuAaqxbLofxXN/GrNpz7eq5pRVeC9s/ZFNVAtPkDm94R7Sr2lGaBZ +8J9sgveI7g39o+hfZUp0LjXDNcvbomU1gzSLno6eFZohmiWqoWqpO46C3xDd +u/qn0L/Foujdon8i/RstjN6t2kHaRU9F/1tpJmg2bCQXHxf6beiNbojeterx +jeBV0bNTM0mz6f3ofyH1xJHomaXZpZw9A30y615UTVSbfdj/rdBvUTPnf4L2 +bRE= + "]], + PolygonBox[{{7362, 4805, 4066, 1997, 6774}, {7199, 2566, + 4834, 4832, 7368}}]}]}, + {RGBColor[ + 0.3896422375, 0.42122897000000004`, 0.43963299499999997`], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmHuQV2UZxw+/5bcXdmnXXTy/9ywb4OAIFY0aM3ZTELxkTkOGEiwsmNRQ +TnKxqJ1gWW4T5RhYAjP9JcqlZgLkVuYNAZG7A3IRsJrRpoIuRoCJ2qT0/ez3 +cfrjzPue97yX5/J9vs/znqumzhw7o5Rl2Z5eWVal9v3aLNtZl2WTq7PsscYs +O9iSZVv6ZNlEvbfrOahJy1OWPVjOspLaHR/JskOas6w+yxY3ZdkB+g1Z9jHt +M0L73Ks9a7Tmkp7t6v9ce1wu+32v+nv03K/x2ypZ9oZkuKA9f6axdzXnX5pT +6p9ltTp/UFuWDdGeNyKb5m/W+x81/3atu6LOMjapXSaZN0uGW/Q+WP0t6l8n +edZr3yXas6K2RXJu0vgGyTy4d5Yd1rp9OqtJz2U9h7T/ByWfv0n9Y9qnpV+W +Jc2fp/HNfSzr+SLLJun7NskwSGM7JXeH3rs1PlXtU3mWPa21/bR2GzJovye1 +fqWeNTpztZ4ujd1WZ9mxxYu9fAb7XpKsucbeVttP8i6S3Eu1z5clxxa15/vY +P6sarf/qsCv2rpLdKlr7jtYelRyz9a2s/g9a9V6jc1u95qcNPnuO7PmFvhpT +O6beOiLHfNnntOZP7237YyvkX6m93tCeK9TO03mj+1j2oZpzk+ZMkfxLtc9Y +7d8sOZ6RjO9I1guad7xse5/UPieEn3c1vqbe9t9YNk6w50A9O7T227Lvcs2t +FF6/VXuO6uMxvu/Uuccl30nJ2Y2c9ZbtjL7XVOzPhbLB2jrbvSuwd1vYHP3p +gydsi10Zx99XyiYVtVtll/Xqb1N7rXTsXWfsPBjn/FBnDKt1/PxO759Qe7Pm +3Bfjo+qMiSNqX8GGWntO814nnjT+qRqPs2e7zl+n50iVx47E+Pxqj1+j/rzC +eDumdrjWXlvtPVlbJXknqC3Vu88+Q+v9Th/cXy8bbixZ/l711oE4AgNzev9/ +fWfmWMK/+PlIyA4G8FVTxAv2wm67ZcMDstGfm6Vbm9fhM/z1B/mgW2sahZnN +ah+vdrwNA9ctxgq2O1Rlu8FDL1ebizr0TKr2txek8wDpvL0wLuljE/C+Nvz7 +W53xqM4YnGw38IDuO9R+VPN/UmXblMJWqzRvrr41JNviVJV9ukhrz5T9vkT9 +N8v2WbNielKL8dGZG7OvaO3H5euRkuFreu/Q3NdK7k8uWzf0WlFy7BMvyEof +DBO/8CMxDK+Bx+ek492KnUd01jcjVsEo9p6l8WUarwv7jgl+uqTnrPZ4IvPe +a+KsJ5J1eTxZB3Rh7qtqD+j9tPqTJf+UWtuHlvdXNf5Q2XsyH/kuh+/nJMdz +Q3/P66g1x3XEWvR6PdaB8z9J5q83mYNWBsd/EPLSIjM+mhLnHk8+65jaC7n5 +eEZuncErWH2+cDwvjJiAE+CGpPdh6ueF8fXJJmNsnJ791cYL9pvZ6P3g+KON +jnv0h3vxD74/FzH+Su62Xe1eeELPgD6OIWKJeBlfth/IEbUVY31UsiwrgtuR +sSPsc1NhvtyqPbs07wTrk21GzsJuZ3LbZlpufl9Vti2QcVKN5byY26bXgHnx ++ymNL1B7PpmD30q2d03kte7A8rmw/8WyfdCdjIn5av8b2Abj8O6C4F70GBZ2 +Zk/ydc++sme/JnPMxTiX8y9Kx29InrfUfr5wDt+S+zziFN3mttqfP5bNPls4 +l27O7T/OuqB2T/JZL6kdm4yVu5Nzy7ON5pr3c8fScI3foPHlTc6XxHqv4LS7 +kv1D3fH95Li8pbCvLkctgK7EFPqeKpt7iOHZwQfwBFjH//Dh6IhDYo08/UiD +8+jt2nec5L8o/WYk644NqFOWNga/1lgXMP+tsjkJOcmLF4J/8RMcBf7g8yGh +D5gfFLnyZNk1GryzIPl9odr+hXNEq9qNybG/Qe3Z3LHdmpyv8Rd2WZSs8+Jk +vmft+ogFOARZjibngBHJuRoZ8NneyN0dgXP62Gl2MheOKsy97ZHjZipXjG90 +/ibfkQs5E7tOKNu2S4KrwAm+3Bb1z3eSa8yR2nNWchwRT/htadifOPhM2bUB +sVKJuMY/y2IOPAmmiUdyWLf6u9Q+kxwXT6t9IFknsEm9wX7k0Krw25Phn3PB +ddSdt0TevENrxhODrc5V6M7+v889997cYxNi/FJgkNjrbrVtXlI+/VLhPPh2 +q+sSzkfegcFDyDCmcM68pDl3Fq7b/91qzkMm5Hm42noR9+gNZuElanZq94ll +8/o91a7VqLup//AH+Y08N6nsGodah1x3tDAfUK+RY+EmePRGZND3v1dcG1Ij +8t47fE1t87nCe/+t4rzBOnxB3UT9RP5c0+yaHh3+WjHPfiWZa+kj//4qxxq1 +JbUYdviwpsBuxAW2o78zN/fAQZsCl+Dz17l9QBzeH9gCY9tycwRc8Rv1D1Q7 +bvE9+Q97zZU8e3LH7j25429i3JtGFLbrPyT7zYXt96b6u5P5/Lrk+wlYT8m1 +C/JdnVyXgK2+yfOYf73adXWuecA0eR7f4kvyGXcyciQYhEfgkOvFhaubnQPB +PTFPvN8qu97RZIzcoP4Xm4zx44V9dELt1dQhza4dwX5PTJV8/ro4+4wwuk9z +dreZ74kNeIN47mlLrmHbo469K7eNl0iXvc2udahz3qvY/v+pWK+1sX8p7p5V +yTKua7acyL622fLDWx1RKz7Qz3cM9Id/wcb2qEOp58h/3FmvjHsrdQnnk4fe +09inW5z3iAPqfrCKD0+VzDVwJ7FEHJ2rGKedku1lrau0+H41LXL3Uxr/Zav3 +eT53DIBT8sE/K46h70X+B8ecMVb2+Iv0mtbg+ow6DSzyjTnIMFW6n2n2PXlG +o9/pt0et8lgyv8Azv0rGJfh8VP0J1eYl9sUv1Mpw8sE2Y+QqtbcW1gv92rX3 +azqrs8F13Nlm2wwsIx+yEcPE8vRk/eAPdESvr1Zbbs7jXPTARp1R28JpG4LX +qEEmhGzEDzzGGXAoa1/I7Suwjr9GRD4amcx3zN+RmwfhgV257YhtyHNwLRgj +1uGbruCc+/r5vwbxA/aHRz5C9nEhf6d0r2lxjUAMo/93kzkOv85MjnOw8qD6 +owv7Fz+DJXDUY5da14FwCLXptLgvz4ha90XiQv1jGnuocH3H/xFqLuoQ7ifk +ZO5JPfelKsfAuuCEAVGj4g94/UDgalTc7+EKfDss7q3cp4jLXXGX3x/3dGqn +oVFvIAs4YR7cfyjqDc5mH+65cMOdff3/YHFhrnwu9z1sSNxDsQfrWdsr6hlq +Kmp/aiF8wt1uVtzvuH/zL4I9f5TsO3gCveF6zh8Sch6JvLY8cnpn/Dfp+UdU +738fcCNysh88xt33ivgPgJ2wF3jGt+S703FHboo5YJJxcgb2JT+ujLjEdsTm +xLA7NucfA/cU1sKhx6N+OBy5dV/sdzDuYtzxyO3wI5hizw/z2rDQF9tjQ3IS +c3fFfDBF7UU9gP2Ohb/4V0We3CRf/KLVtSP/EqinUvz76Ip/QfwTgrPhcPbh +rktsEqNz4j8S/5PA196o9+DQpfH/aGCMg8H5bcZDd5v/IRyOfxpdhXM3+Zy6 +nzie2+YzwQxxAT6wCXY+HP9DsHMKWZAZO3ZHLbQw7oOLCo9NDzzj5+nh6575 +0V8VdxdqLfA1IP53sS/7sye+wUfw2LORs8hdxBnxRm76H0Ms/bY= + "]], PolygonBox[CompressedData[" +1:eJwllmtM1nUUx0/gwyMC8gwe//wefGpzs17ZDN2sNfOWhVlZUYZcLHWltZFY +WTRRMEzKNbAkt1557bKlTi5maoZW6ip9IWCQ1Qt7kbwxE1Sy1u3z3Xnx2875 +nfv5nctvwrLaspUZZraVM4pTm2+2NGnWmmOWPcYsM5i9GDPbCO1sZLa22Kwn +brYG5nrgsdAvo+AiPDuBP0+Z/XKT2akss6PAv8MzM9usCvos8JzxZifRW42+ +GvGj81t4M6EfKDJrj5x2nLuPkN1cYDYNn/qwV5JrdgiZYXjfhr4C3hfAF8Vc +p3SfBf8C+X3c9QDfyvk3w2UOA2/Cxl3AA8TQiP5LnOnZruNu/LsCPgu8GnwO +eAc2FpvziHeIu0nYruLuCvA89P2Arj15Zp1ps2LZQHYEmyngg5yd8G7h7jPg +YmQmIz8VmRpkmxJmUSFxElsLJwV9T6bzjAdug36I+LugdXCmomMXuuLwTAH+ +FP+Wmvss3zvBnwK/B/w38C7wp8FngF8GD8g0x9yni9CughdgazT5yyB/N/Dl +MPaGwHdTAyXQt8c8p39HnnPlXjEOAh/kLIM2G/1D6I/BvxraReIfBfwa9Pez +3Od/gDvQ34r+e9F/B/HcBs/WmL+R3ko1oFp4hvwME38c/mfHmi3Al/Xwn6ce +loM/Al6X6zZk6wIyW4GbUl57z+PTkch9km+Loc+FVsvdu1lucxj4D2SK9J7Y +uxZc97RCz7VsNMGzA3o7/KPxrYM3Ls3zGm9Pu2/JQn87+bgZeFW+984K7t4L +7lsjOhZG/tYbeNPWXH/zA9wtMe8R9UqS3utFPuT4m39IvLWc/rj3wMTgtbQf +maHI31RvW8ndDOLbEbwXm7BXCX1/5LVazt1a6LODx5KgfmYFrxHVSgV306Ef +hX/yaLMnkL8PfC88l6A1gy+Btgtf5uLfN4oH/9YXey814Nu6YpeRbB8ya5Dt +SntvNIoO3I2OcuiLOA/Aezu5KEPfcnSVcTYgM4Dsj7zpCPl+C55V6L+F0w38 +IKcS2X541ge3KdvKTwPwJui9WS4j2WvqT3RVcDcffBD/TxX422iOXYU+kOE+ +zUu5T/Lte/Q3oP8DeHcXeK0q5uvwn4e/CvgheEs5TwKfU37h70357GqDpwf4 +OncR+M3YKkX2CLH+SQ105nqPnYB+I+Y1qdq8QI5KEp7b74BPpD22cuQGgSek +naaazaRfz2FjCvRRvOEbwF9qXkE7w9kIvh25M9h7R/NjjNe4al0+jWhWwr8w +y2NQLJpJmk3S2Qd+Gtlt+S6rnXA88tirOQ9Dnxl81p6mxuLIbgu+K+q5265Z +zV1/htu4P+VvqreVjwtSrkO69OZN8I/DXjc91ZLjPaIaVa3+B71P+Q0Oa6Zo +tuSDN8R8B2kXqUZVq7r7OfIeUC9oJvUAPxa8Fy7Qv48C/4U/z4HX4fPJyG1P +SngtyocG8j0/z3eGdkdz8NkimTeD17RqWzyNwEPwzIn7TttAbFdTPss00zXb +h4Lb1swdBm4htzVJn7WaifXBe0c5U+60Q7RL1IP7gF8PXvuqQdXiuuC1pxpW +LVeRv0L834u+cfIpeC2rB9QLxyLvBfWQeqk+7btcM21t2meUZpV66BRwEl0T +8333Sqd2jnaPavZk8JpWbR8DL1M9pbxXtRO1Gx8PTlNOlJuilPeGdmgA/gR6 +m/lO2gP8K722Mt/3kWbCluBvoz9IG/DLwf8S2mkvAffAW5D0WDUz84LXnnT+ +FHlPqDc00z5mPtQGn3Xa6Sv1twk+O7UzV2kXkL+KhO8W9cyd4HUJ3z3q2brg +u0Q791Xgr4LPYu3Ir4FfCf530ExfDfw/T6JYlw== + "]], + PolygonBox[{{7200, 2568, 4838, 4836, 7369}, {7363, 4807, + 4067, 2001, 6778}}]}]}, + {RGBColor[0.4543818125, 0.48277035000000007`, 0.495164225], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmFuM1VcVxjdzOZy5wEznlDP//2G8AKEKD9pCm9q3mpZra9PiUBNshOES +tVJQ+kJUbgMo9CIDxaJvpSKXBIRwMSqFQgIMhaoMM6NNWyxeElDTFBkoQpX6 +/fgWiQ8ne//3ba291vq+tfYZMXvhtAVVKaWfD0qpWu2KxpQeb0jp4Xq3e9Uu +04ITg9w+rTXvDE7pgVqtrUnpZEtKTzal9E3tO96W0tua66yk1F/j+d3a87La +nTr8J+rP03xNrb/XqL2msVd15lit+apkHZecORo/r/Fnktf+Sf09+q0vpbRI +shq0bqR+I+o9/qzWzFD/B1q/t5ZNKd2h8+c1p/RP6dcvmdO17+/qf0N6dmr+ +XY0tUHu5NaUO7fleltKA+rPVX6L+lVbrsUz9e4spTa1L6dvJOs4IPa9qzVzs +oDVzJesfOr9ec6dlh69Izii1fyykdFR7+6RPocH731L/hmw0T3NvllM6pXam +ZBzTmZPylOZLziGNb9e+bfot1fohw2VbyVorWf+S3Fnqf1n9Pu19aLBtNFlr +xxWt99+afH/uXr4zpV59Vxp8D+4zT2ta1H9Mv79K7hS144u+z7Vq2++w9KgU +rAc6HJe8zZofp3aC9PyW5l+Tnpske2udY+Rm0ff6S5X3MH4sYgediZ+JGru7 +aLtPUv+eou3OXZG1TPs2yn6LG63jlNyxcFiyruSOoau5z94Wcg80OnaJ2xm6 +99st3v9hq++6Ujqv0/2HoZvWd0jmEY2/KFnLNbdA5z+iM7sH2beL9b1NPjqt +9aty+662wb4ndj4d8bNEPp4yJKV9andIl96C9Z8ge09t9vdl6b1H5y0se2x7 +i8fxDbhZonM6pcNCrfmSZD2X26/dWn9Z8vIG6/UzrbkgnV9V+47anmrjpCz5 +uxq87pz2rSwYT79stM8540TZd5oe/sJmTwe+kEX8TNS6CfXWn7uO1a9Gv631 +jlvO/E6TY70+sAcGwfV82flltRXp/jvhdLPW7dNcpv4qrV/faF9xNrJHBkbA +yqyi/UCcfEo2yQv+3ijdPq6y7YgrcERsndS53YF/7LK8yj7j/vANY9Pjvhtl +qyUV23p5xecuDVn3S8dHms1VnIE/OWefdF7XZHv05r4X94MLiSHipxYc6czP +1Li9b7B5rj/39x/UDkW27tCUmbO6tLdU5zghzsFWTWb+qlV7l2R2KTbGyy7v +auys9PyzZOc663NaO5CbJ2YFV4BXcEvc/Ec6P1AyDn6d2XajM/MBvEB8g7H3 +qswv2Gl52OpC2Rz8dbVfK/hOZ6rNzXD0xmQbwe1wOrjBT9gSbMEn4L290fwK +xrAlGCFmFkb8H5M+k3PrAddyP/RDt8mt5qFDmp+YmxvgZvRFF3S+pLZY7bPQ +gxzEHXp17m71H1R7JLfc19Vu0tiGgvetbTXOlrY5/rEnfoUr0QEcwUlwE7Lg +nSfkrzPBZb3VtjM+vqfg/LVYsVMsmXfOqB1eMm9tV5zdr7NO6t4rK7YbufGT +ufd+Ahuo7SjYBj0F8zCy8Ddj2AQ/42+wOVdzcwrWAx9xPn6a1Op4vJoZH+Qb +MPJb6ZLrt4FYKtuHs8rGMzFJrgRnTw02Hlbm5mdyy+3cf4uzY+9Ond+l8+5u +tp93ZY6NXO2Mss97Rf3lGvuhzj1fbd6Ai8h33IG7wBnwPbwPp5MXiR9y64Ph +xy+q3SYcjBYexjUah1sazE09IQuZ2KcjuIOY7AhbdQRG6M9W7js61NgbF/lr +fGaux8avl80bu4I7iF+4jRiGm8EtcTM6MHVX5jxMTBKbcNrWyI9gdnb4FD/N +CX/+u2Jfnyp7jj7xdr3iNac1fk39meq/of65WvubM/KwcyVzzGE/+Bb+n1Vw +DuDHXvQhf8MLyP0C8Sh/7W80r8EzcCK6E+vzA/Ng/1c6f3HZOf9sZvyxBllb +1P9pwXXBsortsTZqJXz5XuADuWDkeY2/oPUXq63jzNDzSma7Xst8f8aIgRvS +85B8PVDvPR9HTcg857OGfLkjOBOstARe8AV44E7PyNf9Qx0r5FF0ORJ11I7I +PWfLzpFdwQ+XQt6WqHvgl2E656mS8+oF4fYNxeKxNsvrjtoADoE/4GFyyI4W +c+SYyJvEPLFMHfVmMl7JGWD2lM66qPXn1XbLFte17kTmOoN6o0/tQNn6fTZy +B3kDu6PD5ch71CL4FN/u11k7pe+BNt+JM7kLmMGuYJo4oCZg/wdVxijYHh75 +hTyD7QaiDmD/tagDeyPfwX+rc+P1qHR8LmqR5zPnY+KGmHksd26g/oITkIVM +xuBTfIOvPipZJvc+FZwMFsmB4BHc7ov7U4MUogaD66gJ4I+xUZu9FXVLIfqs +4xu+OJybZ9fkxgj4AP9LozagRihFXJGHkLkx6k9yO7zN3an1SrEGHoVPuddB +3g/6/k3mGB6I2uWlRnMwtQM10EvRJz+OjXqjNuos9MRO78e76GLZWGqLN8jN +yLNgAV4kntfEvdaq3Z157y8y+3NTvNewz5jbtVydx4nb/wbewf3mqFWoWfqa +/GagdjwZby1q/WGK870l+wdu3l+yHtzzUuRl4runzngk914PjPEu21zw24zz +RsWZ0zLnL/IY/h8ZdSXxdjbwsizimLqRMebwxY8yc+W6zLHZG+u7mlzDkTfQ +t9xsnc9HTUPM98T5xOqEwAfnE/PkiD3BYxdjD1zYE+uJVfQ/FW+vI/FGXRO5 +gbcab+INJeeQFzLnhhcz56LflxzXU3PXH7w1n23y+xasv9LkGpoYvJ3/sAF5 +9f3AEljYGm/JRyOmeY/eiptq8+fqZtcBxN/nm52/2+N9vz7i8LUm8y+Yh7MH +4s7Vw50HR4hPiq3msM6y+QxeI27o40/myA/pdo6INxFvI2IIHiXHUju3R31I +XbA13hS806i1wBqxRJ5Ff+oFbEw8kOOpV8iz8BxvsM6oATujfq9rdZw9JDvf +yLz+euZ3Bpghd4AVOBQOB8e39NT+H0cdTj2OLQ7EWxI9eXNhZ+QsCFnIfXSI +x1ZV/J/I6orrqUro+US8vZD3/cz5lvc9Oa0n6gdqLPwABr6bGRO8rdEN/7fE +m/5svPXgR2wCfve2mYeoncHuBxHb1Am867AbnHFv8OSowDL723PXHtQgT+au +GflP4lzZfH1HZg7uj/9wyO298R6BSy6EPO64P3LK0sy5mvc6ORpbo19N8A/r +0QH8cE/ecCeDBw4qDlvvdH56+P/+cxoRbz3ySntmrE3PHFd52HfRYOd0Yqlm +uO3/UWZ89wQnPJ67DqHOAg/r4r+tabnrMWq0kaEPMrnfmMgjvCcWxVvmcm5O +3d9qnihGfrxZdg1xX+Y6Gv3xKXgAF2Dlw6h/qIP6M4/3BYdhW7i9J/4bgT87 +2xxjK9p8FzgP/kE2Ohws2zcrIib/B40g0rw= + "]], PolygonBox[CompressedData[" +1:eJwtlW1M1XUUx0/ivaFQ9wpx+f0vt7LarFc9qTNflouEuVKE2qqVoCx7QE3f +0APypIVIQUS13om5zA2zKbYKIdpKLN1KgdwQVtoLa621iWiGD32+O734bd/z +O+d3ns/53Va1vmzdDDNr4czkXApmUdzs1uvNSgrN1qbM2qC3x8x+Bz8Ifx/4 +GLLZ8F/h7kP4u7i7Ct7A6YT+AHoSfDpj9nGe2RO5ZreDr/HmDAarkXk8Qv+N +Zg/km/XCX5HDG+7uhvcC+s+BuxNmP8Hvgn9gtlka+y3o3gn/LPo/Qfduzv3w +h3l3Pm22dJbZamRKeX8s5bZOctqgG+CPElsdwdaDW/FnMbKnuNsC3YiPy27w +O/HuCh7LNXy+E3wOmWL0V3JXjL6DyMwEV/P+PPQw/hbcZJZCR5p4LiBfinw1 +Mo9KHv098Jqw3wCeh84ueJ8pXnzNLTIbIs4XoV+F18+b364zO47/A+BJ9D2C +vireLIWej0w3eAD5K7zfmvZYGtHfCN6SxA/y9y75eYfTjvxEzGugWgzxZiTu +MSiWHfDfQFcddDf4KfjN8Cc4J8CHUu7bUejd6H+O+oV8172cePuJ/zL0QehJ +4viD2rzM3WzwWu4ywXvpIvaLFDv+9cH/PNd7YAqdJcS3BpllxFeJvTex1QA9 +Ab4j472Uls/kqi/lvbIKfjPyXeishd4E/R54I7qrqEcHvuXgw3buTsH7FftX +iPct6HHo09BXoduRr0F+F/LFyG+DPwb/F/iXC72XH054r8mPRPBcdWFzHF+m +Iu+FnixiBXeSi00Jt/088tsir6V8PIx8B/oWwR+lXvPhTweP7Wl0/AP+ijMZ +8xnULG7OeO+W0EP14LE8nyHNTi3vs/O9JqpFY67rkC7N9L/gQmIbSXhvKufN +wXtzPf40qTb4FyP/i7KZLWrxRfBZU49+Gbyn1Ftj6GwGN6Udb8CPk/gTYX8Q +++3o70T/a8FnRT2t3u4JnivN8F7wnjx/Kx3KgWZMs6aY+4LnULm8D/9vATcG +74116GgAX+QUxL2/stD/J7qO5HmuNefq/a1J90UzMJjyWNVj6rVe+B0Jr7V2 +SBob78/wHVQErqHmC9GzQP5Bf6MdZz7Tmu1+6JfMd4J2wwB0jfmMalZXBu/N +M8xwGTjJ+Rv9Z7n7SLkNjjVjmrVvg+8CzfR34HvxvSLhs1POqQs++7L5Org+ ++K6Tzc3gr1OeG+1A7cJY8FnQTB+HV0S8Tya9V7RTb448t4pRsR7IeG9p5+wH +TwX3XTm+AF7C2Y++OdTkIfCc4LOpmBRbMza64y4zC31HUt5Lz3D3GLYWBv8r +snm/APw9/GfhreKsgH+Yu0sx/0P0lyzG39qk97J2ygh8i/ufo79Hf5T+qkHe +lCt+dMyFHueUwquAXhP3nfc2/IrgskvgT8P/FPqvmO8Y7ZqOyHfdRvjtke8E +7YbV3JVH/8ec5T6Mgo+mnCcbsrWSUxX3ndIW3IZsace2wksRy7yEz/reHJ+V +e5JeW82McqLcKAdD4B+Jf0fC/z7tsBPBd73+4OHgMSpW/Sm9GfdZvisHg5Hv +WO1axbhPuwB9BUm3rT9qJPJdrp4fjnwnajdWclcG/UPKsWJSbD9HPgvaEdoV +0+g7lPBdr52pP01/m/7QpozXXLXXDm0JXmPVWju4NfhO1W5VDyyH9x+5UkER + + "]], + PolygonBox[{{7201, 2570, 4842, 4840, 7370}, {7364, 4809, + 4068, 2005, 6782}}]}]}, + {RGBColor[0.520089995, 0.54506703, 0.5512831924999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmG2QlWUZx+8F9uyew6677dKe5zkcLAjECcdpEqNwpg+9GaWpi65v7IeA +AYXEPpgzW1a7KxuIoqEtyPINpixhLZpFtDfUZpRd7UO6LwmGreXENpOOExaB +sP1//S+nPjxz3+fe677er/913Tt/9Z3tm2aklPpqUpqp9TNZSgdrU/qs1j9r +Pa7Dv4lgUvt1hZRe1e9ufY8XUzqqOxN5Sp+oS+kPWq/T9y3xGG5L6QXd36c7 +S7VeJ9rl9Sndod/t2l+h/Sbt585O6Ql9B8X/4qaUdrSkdHlDSp/U/upm8Z6V +0jHJWi+5J0VzwVzrsUs8PyUe14rXPZJ3l+jXib6h5PWtFu+Xt6bUr9+HG0zL +na/p/n79fbHuLEWWzq4pWu9zon9G5+/q7srcvEdkywr9/qH0/KLWG3T+bZ2/ +qPO9on1Zdw6VzANeG8V/05yUxi/wnXZ9/ZIzVLLu+A9b+mTbn+S3O7V26O4c +fcdl55fKKb0pvx6RnBOScVJnu7S/VXYcl95d4rW/aP8Th126f5loBmfaX5tn +2Z8jor1Z+m0U/Q+k4ze0byyZ7uf6+x59/xTfddLhX1qv0fdN2XVUMnPpPyb6 +qnR/U+t6yX5VdGt0/lvZ9bDOz1YclzHRvyG7bis4Vs9Xpbdot1QcX3R5Ufa8 +p9+3i2Zc9DeJ59+l3wbp9nX9Pii5zyum0/XOjdfEZ59+f1d8m7Xe3WQb0P/j +0uUR7Tt0l4TdKZp9ybb2t9reIZ3tlawa+aI403mIDPJ0XH5bovOxovf477x0 +OKK/d2ndJv9366ynarvfbrHt+HW5+PTKnltFt0X0e6XbS6K7WTIXaX1DMp8r +Wv+tFfsBf8zPHaMP55aJHsjdXLEsZP5eus/Tt1O8uiS3qH2v9l+VrH7JekKy +HpP9W8VnUvwHpMfHtN+t9WHZ/mSr83RLs3nBp6z9oVbX2JUl52LPDOfaytnO +t3+E/4kDtFmz6XfL1kf093cka7ViMlZw3pDjo0XnDzlM/uIT6husmJrhv0NH +riMXmSM1/th3Sd4vM8dusdaf6tsGHmS2aSBoyHH24AwxJJbEido93Or6zZST +ndqXG1NaWHL97QkdxkLPH+lsQHxPz3SM4TGaOQ+gQ8/xoOdsQjG7RTJ6K66p +ExF/9CXn8Bc1QN1/UHe+3OiVusUP4B0YcYlo6mc7XqtK3hNLbK3T/vQMnxWD +Bl+fCTs5rwt6amhz+Lm3anndWu+tODd7KpY/J3QYi7zG9inxOhV6/zrz/lda +l9U5J6Ebziz3aOacOFVyzYJ3YCExJPe/0uiYDzYau/qiJvpCN7CJvEKPi3Rn +Ucl5Q02D+99J7i0t0uV3ySu/j0SswTVy5DfyfUVxfbrBfrgkfNEpmfMKxr0j +TcZr9DtUdr680GZ8q611rj6ofTXoi2XLvFc0403GOPCN/Ho85ILZ51uN2xPy +RQ14pfXJqm0+rPU++fp16bGt4nyCBjs6S44jceYDu4bFc0noT3w/p3vP6vyv +kjlUdazA++sl4y/aryi7PjbU2p6XA2fAG3rEawXfwb7XC+YDHr/S6nyk/sBY +avALsvEq1fKJgvveseg71An1DTbjX3xAvB/MnLP0twtz12FV64GIS3f4FZn4 +Ft4HWsyfXj3Y4loBh3Y0GYuq2n+v2f2PPrmvyTVzTr7bqHsTsmth4Cc4ih7o +Re6RT2ALPqQvQM8cQk5R5+hAT90x276jN+AD6oC5ZUPB/iBfDoT+d9W5n146 +yznaEfUChpKn4Mz5zDlzTutbtY4fscPOwaL5EQfqhNjUzvXZtOi3Zu6h9FJo +udOjuztyx+uVNtcHdnIf3bOC9aeHHgv8JNeXBD5QR+MF82U2moj+/kDm+WRl +xAh5yDoYev9M6wO5a+6lNvPjHJ7E80DQb8s8+zC7Laizj/DPQ7nt/H6sHTGf +EAt6HPFAr7HoQdjFnIVtPYFLfRXjFHh1qGrcQz79mhqjdsEY6odeTX3OmuvZ +7SNVz4hgB3FndgRbpwLPqT1wck2965zYza9z7Pj9TOiNHacz+/lsZrwDI/YE +T/jhR2YR5EK3tt58yfV3Qg6Yj1+oc3Ly+tz3z5fd79ETX7fnnjHPle1f7ANb +wAbuTsbZlXFOjmIXtcc9apU6pfe3R98mLzhHz87AF3Sg19FnsQW84Zx+QT/j +nLiiH3puB/tz4wp4OV22fx/S+Xtl87pP+2tz7zljBsB+egf2oN/9orkp9+zH +DNgTdUgOU3vUN7VFbJ9qsP7MY8SXOINt3IGeGLZETyd3no78IXeY4/47G+W+ +c7bsmY84ESPmVvCIWEJL/UNPPi4KfADbwLv33xnUD7UDziL/35l/98aMeqrN +Nn80MIB+A26QB8xA8GT+Yg4jF3gPMS/g74F4L+3JHKPHSv/DDeYUcqEauPpu +bkzcFe8C6uii6JX35/49rvVM5C35+2nJL8R8gi/wyQ2ZY0h9kD8j5EXgI7WK +TWAUMXm0ITAvcw+6UWtf1T19c9X4RH/CVmalmpiXyEXsI5eWxpvu8sx1zGxB +Le/M/LbhfYbvsQW82l7wvAHdVOQR9I9mxrvdmW3Gt9RvNfoSOTAS8wN8mGXB +yqH/m7eINfnVGzlGXMC3ycBQauaemMGWxPzAG2V9vFPwR1f4ZHvoiE3TbcaX +ZZlxjpkerKOf3B49pRhz3arIM/xNDZbKzvXPZ44JtMQF/DgdeU6vIyfoGbwD +lsVb4LY2++YXmWM4ErYzn+yOGfiW3Drwlnou8PrZ3PEE+8A99msDu8Ck6cDP +wcB85OILsLg/MIcYE98/xluDNwe2T8db7CcV599omzFpKGZ6MHJt4C+1AA35 +yRl6cL4qt//o+cylo5HD+6P/gIELI2/BnR9XnP/UwcnwCb4Zi/9L8P+Jsdw+ +uaPsNwO2VDPL645eMNXmuF6YOb/WRI5xRl4S78XxBrk4899Xh9/ItY7AGWaQ +S2MOWRRxQd8U8zp9oRBvOuwaiLcOOLtAdbVU889k1fPygnjv8y2IPtsc79wP +aB3VjPShVucmb9zLmq0HM8vWmFvAjJ2BGyuif+JH3mpnAq+ndfeKVtcHsyoz +Ou8HMKkzsAtMWhF38SP+nJcbM4YDN1jRjf37M9lwzFrUITXYkRuD6Cf/ATf8 +oZA= + "]], PolygonBox[CompressedData[" +1:eJwllV1M1nUUxw8qf3zkocce3MPvT38wXW3aVcvUZls3WVuzlZH5Wje2lUDR +3LSN7JVQULMCB4jdwWr2gsWWWlqhbuULdZPwYKuwsDZsWRdhKhX0+Xoufts5 +v3N+5/18f3PWP1NVN8XMXuBM4ywMZt2FZn3QEzmzRk5XZPYxdzPKzA4kZstK +zH4t4A66P+dvH0qZXS03m+R9BfqPFZn9C53i/IaDWu4ejc0uZs02ZczSM8xq +0maLkb+D7dRUs0XQlaVmTTPN2pF1cNqgv0D/U+hD4pE/C1/C+1r4Cmx2Yv9W +7FdC30+MP+G7hxgPEl/NdWZLSv3tw8Vm48RYRax1+FyJfoLPHdDd5DBKLs9x +9kYe0yT0GnQ2wI/A70H3UOK2t1KsV6EruduF7AoxVEBfz3kJvg17P/J+kFjD +LLMy3iTFXiPV6ml0VmC7CP1R3j6Jj9Xwl2LPpZ73Y9B3I+9F9xv4FLl9Bj8G +vwudaux3Y3+A/PaQ3wFq8h71vZe7YeRruDvIm0L0n6Amf2NvgDd3TYdHvgr+ +nuC9zVL/pcHvJPuZu3b4Vvgo5W/eJfZq6pngrw3bVeSzDnkN+ufR34t+C/7v +wP8Q9VmIzlbefIfvl+EboU+qxuSS580++K/hXzTviXqzjdOI7jBvmqH7qfHv +2LydOZgL3VTuso3cnYV/JXHbmsmGxGui2qgnF6APB+9tO/wR6I3c7UbeCT8G +vW2mz9y1WePMC67by5u/kB8ll0nknyC7RH3z3FVHnrNyH8x57zQjmpXpvL8w +xXXWwg/lfPZHOLvh3+T8AN2E/W+R3Zx4n7QzhTeYncFXV8Z72Up9l9G/OeR7 +TPOK7f3BZ0sz+6Fml3qcK/KaqXbt2N8EP5dzHPoMPs5FPgOahdnYX0fO9Wmf +mRM5n7Ua5DvQ/webIfL9nEY8H1Dn91X/tM/UFXwsp1dPoV+F/rHYfWnntHt3 +Yr8e+w1pr9l/2Esiz0G5HGd+bkO+ElkL+a0KnttS5BF0HTqLoRdxhrB9GX8P +4q8WneXw32d9p7XLyqEn67OgmdDMCXOEPfI5Ifwp9ZnVrCom+ZAv1aQFexWl +HpNiEeZ8hPwPfDUjX09tdgbPdYtqrl0PvrvPw78mX7wvI5/9xb7jbwTHFmHi +69A7yWdJofdoO7ksQHd1xrFPNfiT2E9nHcu0Jx3ENBp5D9XL2ZwednOBagg9 +kviOa2Zugr6Kj18KvGfj0F3BZ0sY1B0ck4RNyqlX+4nvOvDobeK9jx7P586m +OqZ8Hjxn5a4YhqFP5zxX9Vy9z8e+u8LcQehTOa+NeqRenY29d8IMYceNsceu +nqq3DeisJYZ+cviS+AeC/zXCuEHocmLLZxwrr2E+9W3NeKyawVuC765iVuwT +yPsyvpvKaTP047N8d/RH5NEpiBzThe2dwbFcO6pd3R58tk6hW8K8vxUcy/Rn +6e8K9GtexrFMPRbmC/sf0B8A/VVwrNCfeQK6Izh2CtOF7frT9LeNy0dwjBXW +KqYh6JPBZcIkYdPl2LFaPVfv+2L/a4UZR2OPUbEKQ5t525h4LJoxzdojwXdZ +M7EC+n+VdCS/ + "]], + PolygonBox[{{7203, 2572, 4846, 4844, 7371}, {7365, 4811, + 4069, 2009, 6787}}]}]}, + {RGBColor[0.604478465, 0.62193021, 0.6187370974999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFl12MVeUVhr+Z6TlnZs7IIeeQM3ufGRQCOo6pNCERJG1jm2hMCq1NowIK +2JgiNZGfXvhTLjtUBlRMhcDooDcFi70YZopBxX/QqHWwF63MTNMfHAmWSUx0 +LFKilb4P7zK92Pm+vffa61s/73rX2nPv3PiTDc0ppbVNKbVo/UQ3a1tTelZr +f3dKP74kpa1av13wvv8bKd1XSumzYkoLtV+i/TXaD2j/REdKO8spHW5PaYu+ +36Rnx6X3lGTml3w/3mbZp/S+U/sfSmef7o9pn3SdkhGHdFZN63t6tFS6zun6 +Qbvl67o+ks5dOue5eHa97C1p/Zb0PC9bh6TzhW7r7gz5zbLtlrK/PyN7F+m+ +T2ec1v5z6fmTZA7q/WI9PyTbLtV+dtnv+hsp/V32P6j116G3L87BN2KCf8SF +mPTqmyt1nZTunXlKD8uPsXpKe5v9bLTJMh9ov03vnml4/5hkB3RNaf/PuuO1 +MGJYli3tuvZJfrdkPpLMntzf8O14bluxGV84f1RXj67vKT4r5PdDyXnEXvKD +n1tj//1Wx39a+4GCz2pSfF7qcCzQ/W7oxGbyOBYxzy5x7Di7J+Tuk4796JGO +10J+InJPDlZHXrDtQ8l8qnN7KykdqTk3nD2t6w/J51wnuckW24it4ARM9Om7 +95r8HjlwxToee+zjnm8Pd/vMZZ0pjWTKi+ybrXVc53bPsp/Dkj2o61eSP6v3 +V+vZVIvjvyBycHXsef654t4vsw5L55DuiwXXztdy+PG69M+e5ViCR3BLDHYp +b18U7Cd+UDenm6wDDFCL+Hhz2e/J26bI1yrpHFCs1kvnPUX7iY/U3wo969Kz +a2YKKzXfb9D9+qJjTY5ZwcNhnfVbPW+OGvxY+426fin9e/RtRefv0v4F7Ze1 +O/Yr24zpXPqfrzn3HWXHaI1kDkjnoHScb7Gf1B111qUYrKkZL5vrxsWJzLEj +hn/Ws2tLxgn+kA9kwdWOovMxFVjB1+3JdQCW0D82Q/HWGU9L/o5224Q9XOWo +nUWZcbk4sz/IwjHXZ+adG7Q+ULCf03EO2OKsTVHn1CRxOhZ8RXzviZivKzl/ +YGHjLNvEGfgFV4L/g1VjHZz/vmH+Oinf3wnbsPHJwDVxIb/IEBN4Dl3sezPX +6lWZcQyeL9U6kVvmr7ntwxfydVz4v11n9mg9Ktl5knm0xdwGjuDhN3L7eCw3 +N8AX4G2qbs5/Ss9Lmet7j9alncbsf7Vv1XW/nj+u9S2dMSk9D8u/hzqtewvn +y+9Pq47X/dr/XBiaofiv0vq3qnmafIMp+Kkt8jGYWXa6avnN2rcLS30d5gRy +sTH6ELGn9u+uO+cvUeOSnadrr+SblZfvav+i9ndKZrdkhiVzt3R+VnU83tf7 +uTX3tAPtxh/Y43tsBNfkCE6Hz8EfvIuuizVTdq1T09QkMYJX6DnklfqD+6jB +sdx6NihOVykmj1Xdh27P/f6EbLwickcOV+bG4/t15w+uwoYl+vYm+TChGIy0 +mcvmyK7BgrkGnhmJ/ocd5HNH9PFy1DA+XuTmormSFd/w6x8RK2I2X3Ys1lmT +3baVM8nXLdEr+OblwCc4XRD8gH6wQ02RowsN522y7jhTt9jzM+XozRmOI5gi +VtQ9MT4ecV7XahwTA/AELqhB7NgSstQ49Y2/YJzcgMXlufvYX3TuvwquMWqd +HJCLOXr/i7r7z9uZa+Wyos+6q9XraPSd5W3ORwoMwhtnCuZc8kxORqqO0VcN +8/AHdb9jj18/ksxw1bm5seJ79ke1T7M8A01EX6P2yduBiBV6t0b8+2I+ea7b +dXQo4nBrZgxSr9iOL+CGOaE3ejo2f90f4HD4m/4NTy2LGJY73TNuzIzn4cA0 +/XOsYs6mrqhLetd3VEO75cuRDveKxkzX9tGYYZhl+J4cURdw5bnI2b0F9z3s +BsfD0ZfJ12T0gQ9L5ij8x0/yfjwwAh+Ck8HosfTiBdGX6c+rY54Eq8Uun9Ei +e8aiF9ATzgSHwCV8A565x9aLPTk5P8cqtvvmmH95Bz8sLBpP48rHaslsbbiO +yS3n0Z8XzXQP6Ym5ibp4InPtwwG7M+cHzA4F74C96cgPGB3IjEG4gdyuKTlW +/8ndk87HXHlDyXNF6nSOl+i7E7Jhf8VzSUf0zqmYZZBlnpkjmX7Z+XiH77EV +OzmfnoUNy2NOwwdyNRLYYOYFZ8/G/Mv/xWjMqD3xnFzRp4kt7+8KGeI0EjwG +HpuL/jeoxOxPLd8RPZ6cL4x79qMxh28LrkDnJzFHnYr/kaGY98jnZbnzdU7r +joax9ajW0xX3BvrC0vgXQX5FZv5ZmXkG742ZHwwQJ3Aw2OEewr6YGdPLM78f +jOdfZeatLzPjBhlwtSJ3LOm3E5l9H9d6IWYnZihytjf6EbasCx9r8R+F3G9y +6+R8YrAu+Ku90/9YW+rmlmtL/++f5IT8jlY9a66PmsY3/D9bd119M/NsuLNi +jliVu1/Ttx+M/6btDeeU2KCXM/hnHIoZ/4v4T4Dvx2rmfPIJJsgj/MYsQY2P +xv8FuLktd29g7ng3s54/ap2fW/+8sAU+o5aoB/INrsjXyajNuZF38k8Nvxjc +9dPcfE6Pou6bota2NYw75ppXM8+lr2hdk5vP4Xj4jnmfXsgc/UDFmIV7zoYu +znwyOIR1KHAIzmvx34R/8Nz2mNWZ03lHfc8JDud/hl79us7fV3E9gwtyvTbw +wP8fPRR9XwbeLgSHDwWvMqfwHL5dGf9ZxA/OOBpcUOhyn71cfPZIw3lh1mPe +b44aZQY4Er5jKzaDM+ryQHBLpcs8vj9z7s+Hv09n7kO/07ovswyyzcFrTVr/ +HX2Z/rxtpmc1aux/CQpdkQ== + "]], PolygonBox[CompressedData[" +1:eJwllVtM1nUYxx9e46XgjZfxMvr9X8hEWG3WVZsiq+4yb7K1Volp1FpbW6G0 +ttTs0gxQspUMOVg3gR0uUGuTMjuIrnWwbiqB1kltFW5tlZU1M/t89714tuf5 +Pcf/9zn8Wx7ouWNDLiIehS6BHmuMGMxHjFVG/Al/ElqPvAG6L4so10UsKUa0 +FyL21UQcqMcHOlUVMUeAF7DZCN8GHYO/NkVULCAW8d6DP4vtcWg9/t9gU+Lt +t5xzdGF/BPqpAkKehu+5IqIDu+WKjxxQF/xV6HPwC6BFeb9Jd6EcseayiM3k +W4e8jHrXUm83+Tqhd5Nr2YnPw3zbAPFvQD6N/058b0Ffot4c+jn4D6HXCT2B +zUfwvc0Rt19uH/nOJtuOQU8Sbxv0EvxB9DXoJ8g9W4rYQ+6p6ogh6jnC22Hk +Q1B3bcSNJfN3gedRdLmGiLeRz2E/g9yEnMi5EP2/1NjJ920i/j18Xx/xFuM/ +hv0I9Bb1TWLbRy+ehr9AfT+CZxM1/Qc/g+140bUMEq8LOatzL5XjeXrTUXQv +1eOvMmNfRc6RzDOgWZgn/17iXUOOtQX3IN8U8Qjfs6jkWu4k5inw6EH3CzSK +bwM+v+f8dj/yi9DZvGdGs7Mf/RB4DxD/QHKP1CvZnIH/DjqjXOinwPcL5H7s +T/L2KtjcS4xu+J/Rjyf3RL15BTmw31723G3l+/rhny27973IO+CfarZuFVhs +gz+B/44w5sJ+RjMTnjHN2srkXmtmNDsXk7GuBd/KJmMm7G6+NOI17Csyz24r +OVdRz+7Ms65v/pbYk+C/Evzn88Z1N/E2Ev8T4tUSbxhsn0BfrPYOfYnPdnxX +k+M88T9H7kN+HJ/niN0rTLD/lLgf8D3neLs+b5u/4I/z9iu6dmagDX5hMvbj +6OcbnVO5hfFQMubC/iHq/1u7B+3JOWYLfCu0NO+d1e4uwWe40jv0B/Gmmo2t +dvwg/ERyr3QDdAtmM/dSMWfgr0u+RbohuiWHk2tTzHekS9519WgUfhff2sO+ +7GX2bqXu26jhhyrvxJvk+ydz7ZPEWwy/GfsHG7wLwlQ9UW+midlJvFbwXgc2 +Wwre4RW8vYHuM/JVY3u62T1Tr66G3w+/D1pWcA/XJMdaQcz65JzKLYzaMr9J +p5keRn45ebe0I9qV6pJ3Sru0teBd76ee0YJ3/ut63xDdDtXYgv4Y8q4a23zf +6NnTTmg3Bsq+1brZc9S7XDmo57xmTLeY901Fz69u5pVgM1v07dHN+jjZVv8I +/SuUa2mdb6tytiffyvfB5yL6o5n/BeqBenGI+gaL7o0wqiD+dNG3Tj27Cf2W +On+rbqBmWrOtHejMvKPaVX3DM/AjybdQOzAMfyI5t3o0A786eRd0A+9Ovom6 +jbrhffAdybdBGAiL/wGN7gP9 + "]], + PolygonBox[{{7205, 2574, 4850, 4848, 7372}, {7366, 4813, + 4070, 2013, 6792}}]}]}, + {RGBColor[0.688866935, 0.69879339, 0.6861910025], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFl1lsVVUUhncpvbfc23JrL+k9p23ACUiABBMNMhiND6I8gMODY6SAMQFM +GHwi1heVojKJGsCqTIlC1AcJUGcwBsTEgckX2mIUfRAFYxAHQGP8P/9lfDg5 ++66z9xr/9a99L5u3+I5FQ1JKN9alVK/3xTyl+cWU/tR71IiU+ispXVpO6Z2G +lF4paM/QlF4rpbRe63M6sEq/T2n/Ur3HSz5BzwvS87r2v6w9F7Vnqr6fGJbS +1dozOMzrXq2/l+6HWlI6qe8/a/9p7b0oZ9bVrPfpzpS65Eev9J1sS+n+3Lq/ +afP5a6X/zXrrGwz9D+vbbu35NJPPOv+D4polfd2SfyT5ccm3yMZpnT1SZ3/x +m98DoWebvi9qSqlF8pGSj9CZJ+TfDr3f0rdxJe85pPcXJf+u07kDepZq/02N +1rUt7KCfc+Rokp6jsvt3wTmcFDkZCP8X6OxCPevqnZMlBeflfMH6z2jdp/ce +PVdIVpVPj2vfq5nrVmxwThbL/0tkd4V0jpb88oJ1kje+49uCsEMesI0P2EK2 +POS7JevR+pjW+xvs24UhjpdYqdf11ZQ2qo57ZfN9rTu13ll2nC/im/L+hfz7 +S+vP9Z49zDnC7y6tpzc6vwfAmjD3IbnvcPy7tX97ZgyAhd+ivtT5bslPycZM +1TfVXF/q3COfHtPZjcn4q6eGERd5ILZXMmMJTA1m3jOgd7+ePp2drvfEsn0u +a3+z1jsabHt60bkgD1v1XFMwpsbmxuQYvT/LvH8yeMNv6ojvrcKD4pysGJcV +jQMwMEGy5/VtiuRLlIPjw3W+7PfQEV5T918Lrke9ZAd15oJqvLDNOd4nW6nD +dflJsqn6frtqMTjUuMAHfH5Aen4puDd+jLPoeFA6P5G9DbI1p+Ta/VtD+f+i +9nyrPXfp23l9O1uwDt6cp4/OFJzTXPpvbTb2Niue9fBHydhZEPiBM8YEb4AD +8AAmwTd4wB7Yn9FobIIP5OBtWtF5BsvYele6s+hdZOihhtT8sPRUZH9uyXy1 +XP7cqd8zS64PtQU3Kzrt87ud1kWOyA+8B+eha1bJ5+gFYmfP2cjp/Eb3+FVl +46Y5bL4Wdss1+9LT5h4jXjD9ds04/brNfUmd0AMOqFuf1mvazZGr2s2JcOOz +OrdOv1dqvVbrgYr5Gq6Gc/DnSPQftQS31zX47Ioh5q1DwdX0yIjIw/iQw2lP +RU7ITU/ET+xg99aSZXAYMYLhccGH1JPYsQt++DY31uAYzKLrjXbX90z0LBih +n8kNHEF+qDkcAR5WRR6eaXdfUb8peo/PHOeEzPW8GLEwf+pjBtE3fcGZL+Tm +h1a4KLe/8ChYyqLua2rO13OyNSc3/pgDYHxCzAtwNTx6hbyPit54vd37enPn +emlwPrmCT85FvsHV4cA5GP9v/vEmdvge3qefD8Wcol5dRccBj1GfPHymb+mF +POYD3M2ey3Nz1IXcfLVrmOu4K/YcC57fE1zPuy/W2NkTeng4A66mB0/enLmn +50dfM/fJN3Wgto0x1+bljgN+6m4yj5Br8krMxDs/+AH9TTX33ozMGGDesI+c +1MUcrKvZ3rTMuSbnA3CVZlB3xfOP/lkZmB+QfEfFOdokH7Y0GXP83tpkf+4X +X37Vah+ZFeSauImDewyxwKl9re7P/tzcv1i+3Cb5nlZjrV+2Rlf/5797m3yX +6NaectU8hGxRyE9INrZqP4q5817ssC76jVqcz80VcAbzFY4gvoO5ufTj3Fhj +Tc/dUrFP6ID7mVvUiNnFnYB5COfAN3Am55bFWWbU3qptM48vDWw3iGNukHyf +ZIcUa1fFdw3wsytw8kD0EdxIzuBreHlTbt7cnLv36MF7Mt8bsIF+uAHd8Owj +0r2wxfewlDtP9bmxszf2U8PNUUf2/t7q/bN19rdW55e5Q8zEeyB8wBdwD++Q +08E87qm5uW1W8Fuhw/rGdprn5gbXgbXTMfdPBDZ6g6/B2pd1njP41RO/kcMD +44IjyfmV0Zv06G01z8X3Ot2n+Idv5JXf9AV7t4bPxA/noJtc82YW/97me8Wr +0nlv5tjvy+zPpshV3mwMcZ58L4+cw6/Uk9nN3fyPVsvAZXf0CPa3hD/0wMqI +G119ESvP0fBnSNQuBe+SD3h+fMwZ8FeM+xTrS4LD8GGMcjFVfnyn967Md0Lu +hqta3GPUnt7Dnytyz13mbzn+myyN3v8wZgSzgvoyh6gx/w3gzv06+0zNsfw7 +VzvN/8wB+hf/8ZmepDcbc+erJ+oEn8OHzJ3VNfv+ZKf1oQcfCrk5pSF3HsHx +2ZjVYInYexXTlBZzA/dabNbl7j9qRo77pXeO8L263b93Rt43SPZB1fGNVJ92 +VX1mIO7bzJXJLbaB/rq4e8OlYII4sUf+mSXU4NGK+RTZ2nbHRXxXSrayxXgi +BrBIzck9dyBmHLNuYqzpm0rMyu0VczG8y31zsGp7H1d8r70QdwdmK/cW5nxz +1LSjxf8xdoad4aGfdyXWs4JHZsYD7qkTuVlfcX6Gx/nm0NEctuCzl6rugX8A +rGseKg== + "]], PolygonBox[CompressedData[" +1:eJwllElI1XEQx8flvWc97f/yyfP/TzHLrYPHIJeoW9nJ6NBipCYEXVKjS6SX +FiwsNAvLbLHABepQZIIGKuESVOahS/qMspOVEUSWWlifaQ4DM7+Z3yzfWTZU +1eypjhWRcigeanVEalNEeoIipatFilyRYJzIH5/IBPwr1/hWv8iJiMgu5H7k +FGxK4Iuh+z77o383pYv8wDYLCngih6Fa+G/YPEbflCrSSOAo1LJOZAT9pxiR +79iMwmdis0yCx5GrkCfUXzK+QyK58F/IYUF9468fX+NrRArQlSWSIzXs5H8f +uklqC6K/GRapp8a11FaDTQw+54iXgY9Y+K8Ri7UI3UPOxf4i/u5g2wHNor+h +eK0SWSHfp+QwF8CG/C/j30kjR3y3YdNJ7Hh8VKDfiD8/fA70EGy2IOepf8/4 +Ymxq+V/Inx7yfcZ/Qc4j/iHi1xH7LpRJb6bJP5PahpHryeeW3zCPwX4KXQY2 +XpLZTOMvzm82aqsYK9Z9YBgl9/XodwQMww7Peqq9XYF+wr/BpsSxHmovs7Dp +oB+bkbPhD/D/tM8w3A9fh+0R4l8LGsZXiLfVZz1uJr95nZkEmwGdhUHqu+bY +rBVQzwJ5nUIOIVcjf4gYlvNaI75eEKNXDKOX8KX4zCH/EeQy5GP0Pxuft/m7 +lxwaQ9ZD7Z2+pSPn478Q/hH668ijjmE5CDUTYxZ/DeTbBD9AzaVJNpP98DPk +XIQ+gf7fha8m3raw/d2Hv9+8HQ1Yj7XXFejSQhZLe3LHs9nuoobP1LYdfR36 +c/wfgp5Qf2+yYaGY/4J/nWyzqnn1kOtM2GZhAIzGkX0p9ncJORg2DLR29RmP +bswxne50IbHKHcNWd2TaM2y1p1PwLak2y/97Rr0HXcNWZ0Rn5V2y1ay16kz+ +BaMKsDiLTaXOd9h2UHdPd+Z8umGpGF6A73HNVneo2zUMFUudiQf4+ggm7WI+ +1fdV3XXHZlZ71oC+0283J5Fc4zzbXZ0XP7s3pjsVsJ3cjb7Ls1k+idwJ7/Ns +F3VmdHYSPLtNuqO6q0uezfZ1clj0bCd1N7XnUc9unN463akofD7U7rOZXIhY +DI2lOYzDv4+YL92RNs9uht6OM8jlyF2u8Xoz9Ha8dW339WZNuXbT9LbpTC1j +3+va7dSbqLcxCt7djs2C7twl/FciT4Lbc/Aecm3WNMdh+H/0Ytkw + "]], + PolygonBox[{{7367, 4815, 4071, 2017, 6797}, {7207, 2576, + 4854, 4852, 7373}}]}]}, + {RGBColor[0.7671863750000001, 0.77125569, 0.7498462775], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJw1l1ls1UUUxofuy8W2F+y9/1LRYoCiAQIPJAJN9AnQGKG+uICBYgyGRZY3 +UuqT1IVFNuFBFMoiiIkWDW0hUWhUINFQE5Uoi764RPAVkEL0++U7Pkxm/nNn +zpzzne98M7el45X2VSUppbEjUipV31md0ga1g5psGZ3S4lEpNY1M6VY+pbb6 +lBblUuqoS+k9za/R+FWN92o8qialWfr9XY0Xan5iZUrjK1LaJqMrqtx/rzOO +aP1VrTml9fdp/eca99amNFnzpzWeqb17NP5C43at+UT7+kvszyzNP609V8rU +spRm64yr6vvy3s/ezfyuvT0aT9HcTv02S+M1iuWne3S+zjqr+Qf1PZjzXOVo +z5/TfIXGwzp3vOzOkP/D6l+Qzauy05mz7Ulh/4FiSlvLU/pU/bdqRzWeqf4l +2Tgvu3tq3f8yyuM/ZX+lbP0mv3tLHRtxvazvqnJ/0xgTM3nojTWXtXec7I6r +dX+pzuNfZfthtYPy516tLRM2Q8rjFMUwpDZZbYLi6Jetjfp9qr5v6vsDrdmv +2I6o/7sxpbuau6P2mb7X44/aI7L1r+YGqm2DHBPHmGr/tlTfPyinfdW23y37 +bzYrb+LLtoLzB64LauwrPGpRf0DxnND6H0e474txf4zx86T27NbavzS/RWet +VXtd+w7L5yTfbjb6PGyzFy7i3xtad6PRcaxTv60ppd+1fkvBcRAP+5ZVO+Zr +2rtae/Pa26Lvjsw5JbfP6vzbNcblj0rnDfucOT/OrcxcE63N5h8xY/+pgn0v +1+/n1Fq192zm3OJ/SamxgWvYWzDSuGEfDE4EDgOBLfh3K/4t2n9YJiYGP+Ep ++byh1qPf87LZoNYhmyPlw0mtf6Jo/FsinhGaH6TWhc8l/danNXOL5jSYg31b +uXEH8+0Ff+8Slnt1Thl1UeqcwAM48KJ8fLzK2PFNLZAD6ntsvWscneiqc56O +NdnvfREHnCCuau0rJW59t8HBCtfAlOAydUGNnq8zdo9SW7J/Oud6Qb/YT/xH +wxfqH83oKzEG9BeDe5yLLmEb36m1rmprC+eiVUfrrFfo2PIq5w57m8MmOS0J +nVqqtd/lzTlqCLzAqFV2NsnP/TnnhDqlXts11583L+fV+ZsxWns8b25Nl8/T +1OprrX8DeZ+Ppm4MXYXPTdXm6gbZWVFvTneqz+ns13LWnuG8eQx/4RMcnhna +Navofbfz3rtEdv7Juz7mBk/mqX8/Mw/vL5qr8B07ncEBcgdv1gY3uBNm1/te +WJc3RuADdpuDY+j97jrXz/VK1wv732o2D98RB3c0ef0OjfsL5ss1cXhTs/kJ +T4fyvp/QA3JFXZCXO5l19i41KP48pvPOaE1JwXk6ltk2dvAHjVvwfz2WO1fo +KvoJF7E7JjBHQ64UXReXi64htIT6Jz/wjByBDXWC5s7RmV8Gb8gZdQkn0YLh +0JfniraBluyLOr+s/m19fyzfTjb7/GXhAxy+EDy+EPqPzucK9n1jozlEPNQ/ ++p0PragaY40ZmVkXlwWXFhbt5yL1Hwn/JxXDrUZr0kDkHhvYQhOobXABN2Ki +3ohra8Eaur3JXAYrMGXfh7G3veDcn1Jc8wuO6avMuHXGm4Q7pDe0jPyMidip +M+xQa9xRp8IP1lL/cK0haojY4T46B77wlTOOxJ2Bbn1TdH3xhiGHiyuND2P8 +pybx+ZnQy+7QFLgD58kL9wcYokf4PxD11h1ah/7iy886a0nmXF1vdBx7Q2Pr +o/bBCt04VGHtgB+c3R1cJV7OJPfEAlYPZdbPSeqPF22fc8h/fdicHvcFZ9Hn +Y8xbB/+xCT8aArfazJjUqM9lxgTuoL1d8V5pCHw4oyvek2DAb/jDG4f8T4uz +0OAZcX+hu12xnrsAvjFGE7lf4RvvtnFxl6FDYEAe0TgwAZtLme2tLjgO7gfW +ownoOPU4FPVC3XwdvD+YuTE+lHntyni/YgubEzLX//KwcztzPtEkOED+4RD7 +qB32Eldb3Cnkivca2K6q8m/E2Be6iY0DwRXslmXWk6rMNlfEHcRdciBn/nHO +ypin4Ru6x+89sQYuXgzf0NbWeOOB2f5Ys6tgvUV30UcwnR913Bt3J9pD7VF3 +cIHaoC7Ydz10G63n3sBvsB8M/HcWQsObjEFn4IC2TQ1drYh4iRstPBM+gD2/ +gzl3D7l/vmiOrAqeoCcd8S5FhxeGD7y55sS7i/paGlqBvSnxrgCP9YEJePIf +htxxN2JzMN7VU0NXuUe5Z9C6obgXmCd3PfGuaI/3XXe8D+Aatfkfv3fUBQ== + + "]], PolygonBox[CompressedData[" +1:eJwllEtIlFEUx4+mzqgzfTIzOd9nU2CRr6hlUKNQq7AIclZWGiYRtPFBu9Ba +RRg+S9NNRZavDCoLLNtYVBoUGbVqRmvTg7JtmSb1O5zFgXPvef3v/5xzC+sb +Ew3pIlKNZCBbwyJH80RaAiI3EV9EZNYRWckRGc0VGfJEVrNEHuD7K1/kBzKM +3pkpcg3bLeS0T6QEmUXvLRCZJ/GjkEgqJvIeqSTfP3KUoo/g0+AXOYDcxjfF ++Te2QUAl0YNIEec68mWj9+FTQa0OcvZGyYv4OZ/E/hf7FDnvBMGVJnIQWz+1 +miOGPcEbPvK+Ue4eow9wdwb9RMT0MHcr5NiRZW9aRvetFwlxX6tccM5BtmAv +pl4V+e+7Il3Uf4NPHr6Z2L9TuxCfLPQ49jHsT8mXhn8H0gb2BBgvgPWIa9xp +zGH0PeBrgf9z1HsSMI6UK+UgQL6eqMVWIW3Y/sBrq2MYm9Qfn534VoCvGd+L +8PXVZzW1di/+ccd6Ese/nVpl1LyBfh1ZyrdeZINpCv/GtfQybLZqOFr1jOu7 +a7j3DINiUc678V8kfkSsh+PUPs95CH2KfEHstbzxGfpecmxDv8xdZ4b1tJ1c +09QacKxXu6hZEjPuJ8D9LmacK/eao4b4Gc9mbRFJYAuEDbNiVQ7rOG/gjfc4 +FwRthnSWtIe56ElyniL3F+56wJukdmHEfDcRs4CtiXyHcm0n9lFzHW/PIH7e +tTfoWwQZJt9L4v0R653uzCyxcerXcO4nR2fUan1Guqk3hv+nsO2azuSlqM22 +9kd35yq2s47NZjM+KddqX0Fa4XaBmuU+2yHdJcW6m5jpgGEup/Yxx2ZDMeiM +6qxqjybINYB9BvvTgMWUhg2zYh1UTDHjVnvUB7Yiz3ZTd6QY/YNrsz1JP5Lo ++13rtXKkXPk92wWdT92lt/D5zbH3Kw+vXPtLdEdeuzZTOls6w2X6F+Qbt7rj +uuvKmcbqTHdxfu7Zruuf9AK90jUsc4QFsC9TbylkM6QYVtDnQsal5hEwHc+2 +Ha73bBc68uztuhPj3Pl99qfp37aZ3qYcmw3lTHugvVCfdOo9JPdkyGZX91Z3 +UHdRezRP/EZyb3ds93QmfxI/KoZBsfwHhVXHpw== + "]]}]}, + {RGBColor[0.825459625, 0.82918175, 0.8009545625000001], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNlktsVVUUhndb2st9lFvvLT095TZqqKZFCQYmDhCNjsQJQpngg2B8RAcQ +0WlDcQBiEJFSpGiiDloUNDEkktDHQKtRgYnSgag8fEzwkTDTQav+n/8yOjg5 +9+699lr/+v+11j43P7Zj4/bmlNJVPS167ulI6XQtpa2VlD5oT2mTnt+aUhou +prRLT0VGg7KZlk2xkNKzWUrjcjCQp9RUsM3XTX7zf0p7vUX72b9I/3VuVTWl +tfLf0Pr2ov03y/aZOLOplNI+nftG6zNFx9nXYh+D4eeHekon5WdGtpOyfUnP +t7I/LDy/yH60J6W2gtdmlddm2Q2W7Gd/w36OZI5LTHKYVKyJZuO/Xf4PKM9x +4dym/YG2lF7U2VcVe6TF8e5ss/2H8r+zU3iXpPRuOaVCwXkRv7/N5zl7r3yO +yeesfBZlf174F4RpTs8FPatLxgEeMEyI0zdaU1rZbX/4hatjmXG8rDx2yN9f +4vSa9nYXrRMa3SL/l+S/r2zeeoPnicBNnObM3Ax1yWfZXGL3lM6eW+K1++W3 +U09Xi/PmfbHJfpfJ73K93+sxj8eF91rVmMCDr0bEHVLOD5X9f1Bxr2t/Wviv +KI+Di6xhqdXYqRn8Toam8PWpnvmS8yPPQ7Jrl58vhX9vl3miZn4lR9mO6fx0 +yTFn42xZ+PqUezE3759UXGtwMh66U4NPRx3iA3t8ssbe6eQ9/oMTLAMF4wEr +dQE/W8XBlZrz/jy3didy98Vw9Ai8Xl1kTgdCP/K/rWDeWaf+jlecC3VAno90 +225XYFgautEXaPhO9NZmYZipmeMlmeOdEobX9Hud/ByVbsPSa7vsOnXucepR +9jt1/iPV6k1aP1U2P/Qidf6m1u/W+qOy2VI2PrDt1bOmZMzgnYh1NAEzZ+Hl +TKtrrj93HS7o/aTiXlDcn4Xv4W7z/WDmmPuiv9ZWnQ+5bCn/5/v5ms9zdjTz +zJpqWNs9oe9bwry7ap6KUQPtufP+s+bc0a8/evxj+rTqmbEicIK3I7dNNbfW +F2O2FJd5PtS0fiYz3t+73Ffsf9ft2qFHqB84vavi+j7cY+wjmTVEP7Sbz+0H +f+RJvvAyJMztded2Q+64xF/fbW4f6HbvPVdxPUxmjvlHl/VhxoAbndbE7/ma +5/7W6Bu0hSNmJTMTHdZ1WHv2iDldNFfvC/+Gxbo7Ms9q1tmHT/ap80uBDYzf +y8fKuuuDml8RvbMmamhauV6uen4xYw40XKvU7J6oOTQFx87AeVb2t3Z6RoxE +/5DfF7ljnM09X+fCP3O61OlZXdb7vrrrhTlELHr4Uu6ZwP32k/ZX1d1X3C3w +C7frq74LuZ/mov7xvzrmObOJOka3Uu79udCAWUk9XM7NzeqwZx7sjT6C1x2L +3eu8yYXfxOP+RB/OcR4dz1V9rzDbzufm4Vzuu6MR91Elt84DDc8j5tLJ3DPp +UOiF5ptC9xNV37XU5VTRMVlnPp+KGc2MZb7iH03oJ3QhD/KBk42Z74HPctfF +ZMxA7gFwolufsG+r+15hn3jEopbpXTgnBrH+nbUjcR/RH9QuXNNbV+JOQbOh +mIfT4ZP43DUbglvu0uuBYSrsyBNuiEcPE5/7sDf2Z8IGLWai5scy19CRHs8O +6mswvjsWgtM7xOdozRhv7PCchUfqDhzkdKzqGfTP/IlvCLSZiG8UOHlCNm/X +zQ1+6QvmxAtVz7ulMUfQhhxe6XDv0XfgWghcfIvN1l1PX9XsF598W4Dn9czf +Aj/WnT/agHd5aM4bLTi/Ob6v4P1g5EJP9oUtvLB+NDPPk6FF3//8/Q3e5WrA + + "]], PolygonBox[CompressedData[" +1:eJwlk0lI1HEUx1+TNTbbf5qZmsWBCiRyWo8dyqAgqC6hdmlRjKBbknUVqkME +iS1mOdalg7YZlJAQo6cpKvPSdnM0qIst0K0OWn0e38OD9/u99ft976073tVy +KmRme5E6ZCJlVkF2xMxWhM1SebOm5Wad6An0qYRZc9KsHXs5ajbLXwjbMElq +6I+QMO8quUJZs1sFszkST5KzVjR7i30j9l9IG/a//C8gHeTLRMz+ob9HzvCe +x2cttbYFZjt5j1HvJjFtcbNW5DL5KsgT9J9LzFqwNeXVy3Z6Lnk/xH5Nm90n +fpL8kQw98LeI/oB8M8Sfpd43at0oCKNj3UB8En0xr1zPwLOA/hTZFxaGafTb +1LwGvuZlZn3k2pwWR87NCDXjvE/zPsz7Iu/+gnB993rEdmJfkxS2BnBMOd/Y +uurNRtEHCvLtpcZ1/Pvw3ULMPXINIxF8foC9kR6j6GWwdWeE7RAYy/hP8fcS +3yrSTS+709KP4FPfIN6d/xjxQV7YS9RspV6N2MaMemvEf6Ko2TnmIexj+GfC +4sS5cayb0urNMZ8n/iTxQ+irIsrpuR3jG/y/4Psw0Gzcx2fqs/WZDuA7WBC3 +V6lXzgr7laS4dQ5KRe2p7+hK8n1glvOBOPaZLiXmIFxGyFFB/71as7zDewT/ +reTrIF9PTDvSVBQX4+T5WNQMfBae4zG97ML3hHMc0w38Id+46QZGsb/Kaxf9 +Bl6j7yF/T1Kzf4Hc5X0hEBe+4/G8Zucz8FksUvdcoLfXmMnplp7Tbw39EvU+ +14nzBHjmUpqpz9IxDGbFld+c357vjO+O30wveD4h+wNx5txV6Wco0K74zQ/4 +7QeK95vrz4pH59N391hO3PnOHUU/kFNv7+gxju96Zj0baFd856bRoxlh95v7 +D/V8nes= + "]]}]}, + {RGBColor[ + 0.9129594355950474, 0.916160239761895, 0.8776958675986122], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFkztP1FEQxWfBuFl2l//63w2bJcSNlYmNfgW1NRYolD6gEBvB6AqJpWKs +1M5nBcTEBAos1Uhj44PE+PgI6wOQVT+B58e5xOJm5s6de86cuXMPTEyPXuqL +iLNa/VqT5YixQkRDKy8qXrY/lUUs1SM6lYgJxc5o1Qs+n0w5S7WIk8rZUs6J +gvPI6ZQi9peM97IZ8QYu2U3lfteaq0bMC39RfnMg4qhwFuSfE866/Fvyryhn +tSU8YTyXnc0j/mbmf6x1cG/EtrgeCrennAfDxuUe3J+Fc7gRcb3qfLC5c037 +Wa3X4v0pnhVhrsnvyv9Y8zn7uYTTrThG/kDRFt52yXnk7FN955V3aCTivurY +pp6mOa8m3l9F9/LuHtfLHv+C+At1543KPlUNPfkzsn3aD4njh+wRrWeKX1a8 +v+77p9GuWt6Lf0HxRa3Nivt6M3Nv0co96v6Q+klflzPrRwNn9Ahd92rm4876 +YMSG/Cc6KxetnxxwidGDL7lnBW3EiaGr1rLuQdkbmfWg5aL8r7l7xJsfq7lP +G5m17fQpdx459Jd56qX5ZO4+aZ4eSfuqtL0aMQdcuey0cmdKnjkse+rGRwNx +ahyruk4w8MGfalgz2rqV/29Oz+CGl3dCB3y7msFpp5kHB7x28ukjvQVrK/0l +/gq41MZ/Ab+T/styy3W+k10Ztr8bm0laqG8t9Zp5/1YxN/+S2eE/8193ak8+ +etjfUb/G+RNN1zme+jDYtL7bQxFvW37nU4qF3uh4zfMNB1zUyRk5WcvnL3Ln +cM4fzZMmtNGHP3rP35lr+QdkNZZf + "]], PolygonBox[CompressedData[" +1:eJwtkUsvQ3EQxacqhNv2Xr2iuWVjJbHyFVgKEoKl54IVi3olNhKPncdKS+2I +RKILliKxsfFKBF1aqqSlxSfwm0wXk5z5z5kzZ+bfPjU/NFcjIp1ELfEYE+n2 +RCYiIllHJJ0Q2aUwGhXZaRPpoTbjiixEjJOPixTJv+tFysR+0nCFOKB3m54R +ei+IQ/J38sW4cdNwswnTVo5y+32RE2Z8od0XApNvop9opI+3TNK01ZN626Le +SxSopdDIJEz7u+qlQG0PvTPqy9QHyV/JV3Um+iHydfRbGm2nH3CKG3yAx9j/ +2DNP6qXEWxj8FjcvOuPUM03Vqqg/eod8w9OOeVuGP+5UPao2b0tRmzEAXqM+ +5djOYfzf8g8O2jn8d/n2J/oXusNlIOJTe4ETg9vJzSZ5v0IjD372bGfdVWd8 +gp88u80KscF+s80iR47dNEde8q12Q37dZn9VYZ9h9F3mlcEddSIeuKHVbqUz +m8gfAuOqp8fAdvl17Xa6UxHtc9e0dWY8MC3VUK37wHbVGXfgGvjim75y/ly7 +qd5Sb/gPMeZlYQ== + "]]}]}}, {{}, {}, + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{5768, 5902, 6578, 6577, 6604, 6603, 5972, 7356, + 6042, 7309, 6043, 7310, 6039, 6808, 6041, 6806, 6040, 6807, + 7389}], + LineBox[{6075, 5891, 6829, 6572, 6602, 6601, 5971, 6415, + 6416, 6414, 6418, 6921, 6417, 7210, 7381}]}, + "0.923`"], + Annotation[#, 0.923, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{5767, 5901, 6219, 6218, 6365, 6364, 5757, 5890, + 6571, 6570, 6600, 6599, 5970, 7355, 6037, 7307, 6038, 7308, + 6034, 6805, 6036, 6803, 6035, 6804, 7388}], + LineBox[{6074, 5880, 6828, 6567, 6622, 6621, 6001, 6441, + 6442, 6440, 6653, 6652, 6073, 5879, 6566, 6189, 6237, 6236, + 5969, 6410, 6411, 6409, 6413, 6920, 6412, 7209, 7380}]}, + "0.8520000000000001`"], + Annotation[#, 0.8520000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{5766, 5900, 6217, 6216, 6363, 6362, 5756, 5889, + 6203, 6202, 6349, 6348, 5747, 5878, 6565, 6564, 6598, 6597, + 5968, 7354, 6032, 7305, 6033, 7306, 6029, 6802, 6031, 6800, + 6030, 6801, 7387}], + LineBox[{6561, 5869, 6912, 6498, 6176, 6323, 6928, 6322, + 6497, 5868, 6827, 6560, 6620, 6619, 6000, 6438, 6439, 6437, + 6651, 6650, 6072, 5867, 6559, 6175, 6235, 6234, 5967, 6405, + 6406, 6404, 6408, 6919, 6407, 7208, 7379}]}, + "0.7810000000000001`"], + Annotation[#, 0.7810000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{5765, 5899, 6215, 6214, 6361, 6360, 5755, 5888, + 6201, 6200, 6347, 6346, 5746, 5877, 6188, 6187, 6335, 6334, + 5738, 5866, 6558, 6557, 6596, 6595, 5966, 7352, 7353, 7302, + 7304, 7303, 6028, 6798, 6799, 6795, 6797, 7367, 6796, + 7385}], + LineBox[{6554, 5858, 6911, 6496, 6164, 6311, 6310, 6495, + 5857, 6910, 6494, 6163, 6309, 6927, 6308, 6493, 5856, 6826, + 6553, 6618, 6617, 5999, 6435, 6436, 6434, 6649, 6648, 6071, + 5855, 6552, 6162, 6233, 6232, 5965, 6401, 6402, 6400, 6403, + 6918, 7207, 7373, 7206, 7395}]}, + "0.7100000000000001`"], + Annotation[#, 0.7100000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{5764, 5898, 6213, 6212, 6359, 6358, 5754, 5887, + 6199, 6198, 6345, 6344, 5745, 5876, 6186, 6185, 6333, 6332, + 5737, 5865, 6174, 6173, 6321, 6320, 5730, 5854, 6551, 6550, + 6594, 6593, 5964, 7350, 7351, 7299, 7301, 7300, 6027, 6793, + 6794, 6790, 6792, 7366, 6791, 7384}], + LineBox[{6547, 5847, 6909, 6492, 6153, 6299, 6298, 6491, + 5846, 6908, 6490, 6152, 6297, 6296, 6489, 5845, 6907, 6488, + 6151, 6295, 6926, 6294, 6487, 5844, 6825, 6546, 6616, 6615, + 5998, 6432, 6433, 6431, 6647, 6646, 6070, 5843, 6545, 6150, + 6231, 6230, 5963, 6397, 6398, 6396, 6399, 6917, 7205, 7372, + 7204, 7394}]}, + "0.639`"], + Annotation[#, 0.639, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{5763, 5897, 6211, 6210, 6357, 6356, 5753, 5886, + 6197, 6196, 6343, 6342, 5744, 5875, 6184, 6183, 6331, 6330, + 5736, 5864, 6172, 6171, 6319, 6318, 5729, 5853, 6161, 6160, + 6307, 6306, 5723, 5842, 6544, 6543, 6592, 6591, 5962, 7348, + 7349, 7296, 7298, 7297, 6026, 6788, 6789, 6785, 6787, 7365, + 6786, 7383}], + LineBox[{6540, 5836, 6906, 6486, 6143, 6287, 6286, 6485, + 5835, 6905, 6484, 6142, 6285, 6284, 6483, 5834, 6904, 6482, + 6141, 6283, 6282, 6481, 5833, 6903, 6480, 6140, 6281, 6925, + 6280, 6479, 5832, 6824, 6539, 6614, 6613, 5997, 6429, 6430, + 6428, 6645, 6644, 6069, 5831, 6538, 6139, 6229, 6228, 5961, + 6393, 6394, 6392, 6395, 6916, 7203, 7371, 7202, 7393}]}, + "0.5680000000000001`"], + Annotation[#, 0.5680000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{5762, 5896, 6209, 6208, 6355, 6354, 5752, 5885, + 6195, 6194, 6341, 6340, 5743, 5874, 6182, 6181, 6329, 6328, + 5735, 5863, 6170, 6169, 6317, 6316, 5728, 5852, 6159, 6158, + 6305, 6304, 5722, 5841, 6149, 6148, 6293, 6292, 5717, 5830, + 6537, 6536, 6590, 6589, 5960, 7346, 7347, 7293, 7295, 7294, + 6025, 6783, 6784, 6781, 6782, 7364, 7399}], + LineBox[{6533, 5825, 6902, 6478, 6134, 6275, 6274, 6477, + 5824, 6901, 6476, 6133, 6273, 6272, 6475, 5823, 6900, 6474, + 6132, 6271, 6270, 6473, 5822, 6899, 6472, 6131, 6269, 6268, + 6471, 5821, 6898, 6470, 6130, 6267, 6924, 6266, 6469, 5820, + 6823, 6532, 6612, 6611, 5996, 6426, 6427, 6425, 6643, 6642, + 6068, 5819, 6531, 6129, 6227, 6226, 5959, 6389, 6390, 6388, + 6391, 6915, 7201, 7370, 7392}]}, + "0.49700000000000005`"], + Annotation[#, 0.49700000000000005`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{5761, 5895, 6207, 6206, 6353, 6352, 5751, 5884, + 6193, 6192, 6339, 6338, 5742, 5873, 6180, 6179, 6327, 6326, + 5734, 5862, 6168, 6167, 6315, 6314, 5727, 5851, 6157, 6156, + 6303, 6302, 5721, 5840, 6147, 6146, 6291, 6290, 5716, 5829, + 6138, 6137, 6279, 6278, 5712, 5818, 6530, 6529, 6588, 6587, + 5958, 7344, 7345, 7290, 7292, 7291, 6024, 6779, 6780, 6777, + 6778, 7363, 7398}], + LineBox[{6526, 5814, 6897, 6468, 6126, 6263, 6262, 6467, + 5813, 6896, 6466, 6125, 6261, 6260, 6465, 5812, 6895, 6464, + 6124, 6259, 6258, 6463, 5811, 6894, 6462, 6123, 6257, 6256, + 6461, 5810, 6893, 6460, 6122, 6255, 6254, 6459, 5809, 6892, + 6458, 6121, 6253, 6923, 6252, 6457, 5808, 6822, 6525, 6610, + 6609, 5995, 6423, 6424, 6422, 6641, 6640, 6067, 5807, 6524, + 6120, 6225, 6224, 5957, 6385, 6386, 6384, 6387, 6914, 7200, + 7369, 7391}]}, + "0.42600000000000005`"], + Annotation[#, 0.42600000000000005`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{5760, 5894, 6205, 6204, 6351, 6350, 5750, 5883, + 6191, 6190, 6337, 6336, 5741, 5872, 6178, 6177, 6325, 6324, + 5733, 5861, 6166, 6165, 6313, 6312, 5726, 5850, 6155, 6154, + 6301, 6300, 5720, 5839, 6145, 6144, 6289, 6288, 5715, 5828, + 6136, 6135, 6277, 6276, 5711, 5817, 6128, 6127, 6265, 6264, + 5708, 5806, 6523, 6522, 6586, 6585, 5956, 7342, 7343, 7287, + 7289, 7288, 6023, 6775, 6776, 6773, 6774, 7362, 7397}], + LineBox[CompressedData[" +1:eJwNzckug3EYhfHTra2xSMTaVLO9NRIXYKi5Ela4IIqycxV2XIGY2hqqvQW/ +xZP3nPP8832j5dP1k0KSFVwUk/u+5HcwWZKb/cnxQFLBon7H/XALcoM7sh9i +Xq9x39ycXOcO7PuY1W+5L25G/uT27LuY1m+4JleSP7gdexlT+jXX4Cbld27b +voUJvcrVuXH5jdu0dw0lG+6Y7Yqv8ufyM55Q8a7H7UU3OmjjwX7p/Zn8Kq/5 +xiqW5T+3jRY6KPjHyHDyiBf8A4VVMh4= + "]]}, + "0.35500000000000004`"], + Annotation[#, 0.35500000000000004`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV0DksHmAcx/HnLeq+FlcsRqWuqrqPotR9m7qIUXSgCRFet4kFk06vhUFI +GOx2g627Y5HYTf28wye/5J/v8jwlM7/H5iMhhBWieSEk5YdwVRjCJblFIeSw +4zZppxhjgnH+6N85156R7ZbFtn7EjjLIMEPMad841cbIdMtgS99vB+ilj5/M +ah/5qz0h3S2NTf0P20Mn3XTxS/uPY+0RqW4pbOg77HdaaaeNae09B9p9kt0+ +sq5vti000ERj/O3aO/a0uyS5JRLVf7P11FLH1/ibtbesa6MkuH1gTV9jv1BJ +NVX0ay9Y1i4RcQus6j/bCj5RTln8j7QxFrUL3HBNqf65IIQXHnnisNif8MAr +/wF1Pzza + "]], LineBox[CompressedData[" +1:eJwV0EkvnVEAx+FjY7ZBXfM8XN+FjY2ZupTYVCoxtNenkIh5nhK0+Bx1zTUl +irYL5Ut4LJ6c8+b/y7s4FbGhps9JIYQ495EQVvJCOHRuc8RPJogWhlBPHQP0 +k1UcwrL+wL7FHbfEqbHXUs0n+sjUL+n37ZvccM03Ku1VVNBLjAz9ov6HfYMr +fvGVMns5pfTwkXT9gv67fZ1LLhin2F5CEd10kaaf1+/Z1zjnjDEK7IXk00kH +qfo5/a59lVNOGCXPHuED7bSRop/V77y/K8ckGCHHnks2rbSQrJ/RN7sPF+hJ +MKj/kx/CX5545YUvtmn9P/1/3w+6RmcDUfcH5yO/eWbS/6d45g3PY0oh + "]]}, + "0.28400000000000003`"], + Annotation[#, 0.28400000000000003`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV00dPFWEUBuAxceHSlUZRULAD0qQjSFEQKya6cqFgS0w0lrX/QuwFu1RR +ir1gr4giiAVE7Br37ny+xcObvN/hzJ2Ze6dWb1+1bVQURWP82TMuikaPj6Lm +CVHURAftJOp+x0TRH4YnRtEv+ZNp+vpJUdTADnaxkwX6IeefGDQ/KD+y2/5/ +FJqZzyqq2GK+1HkZneZLZDEJ+gH5Lvy//oN8T5G+X77lg75PvmGr3X8psDOf +laxgs/ki5wvoMF8o5xOv75Gvwl59r3xNob5bvgzX1r+Qz6mxe4Q8O3NZzjI2 +mc93XkC7+TyZy1T9Y/mEAf0z+TRcW/9QPgr3oH8g77PW7rfk2JnNUpaw0Xy2 +8xzazGfJTKbo78gu+vX35N3wOfS35G369DflDdbY/ZwsOzOpZDEbzGc4n8cl +8+kyjTj9FXk1PF/9dXmNfH2nvEyvviPcN1V2dzHPzgwqKKfGfIrzVC6anyuT +idW3hi48d31buD55+hZ5IbwbfbNsYpndnaTbmcYiFlJtPtF5Eq3m58jZTNaf +l/X06BtlQ3g3+rPyXHjH+jPyNJV2N5JqZwpllLLe/Ezns8JnMj9DTmeSvk6e +oFt/Sp4M70l/TB7nhf6oPEKF3XXMtTOZEopZZz4h/J5oMR8fvjvE6A/Ig+H7 +pz8sD5Gt3yf380xfK/dSbnctSXYmht8hRaw2Hxe+LzSbjw3PhrH6YfmZIf0X +ORLuTf/d7/4HX/lGnz3/AaObonU= + "]], LineBox[CompressedData[" +1:eJwV09VSV1EYhvGFMeOZI0rqiaeOXXdgNwqCIiBISNvdHSB2i4B5BWJ334Tj +2Ird/VsHD+83z/rm/e+99tCzsCajOiGE0MmfD91D2JscQltaCLVoxTkMTQnh +ubMXeJQewjP5FOn8TrkLD/k9cjfy+R2yAQ/4elkXZ36P/nTzCb5jjxA6YAhf +I2tRjbM4gzR+i92tuG9/u9yGPH6T3Ix7/Ea5Ie7wu/WnmVv49jraYTBfKatQ +gdM4hVR+jd21uGt/vVyHGfwquRp3+JVyRfwtfpf+VHMzn6AjYBA/W5ajDCdx +Ain8ErtLcdv+crkMufwiuRi3+IVyQXyGeJ/6U8xN/D/5FwP5En2lKEYLmpHM +z3E+Fzftz5fzMD3ep6zFDb5aVsV34Rv0J5uP83/kbwzgi/TNQiGacBxJ8b2c +l+O6/UpZgWl8qSzDNb5EFsd3jN9df5K5kf8lf6I/X6BvJvLRiGPoxs90Xoir +9mfJIuTw+bIAV/i8+E3iXfH1+ruZj/E/5Hf042foy0MujuIIuvI58Xlx2X5u +vBtk81Nj4hKfJTPjHfJ1+ruaj/Lf5Ff05afpm44cHMYhJPKTnGfgov0pcjKm +8hPkRFzgx8tx8Vvw2/Unmo/wX+Rn9InPoy8bWTiIA+jCj3I+Guftj5VjkMWP +kCPRyg+Xw+I34rfp72I+zH+SH9Gbn6IvE5OxH/vQmW9z/haP7b+X79CLf+3/ +/g1e4hWe2P8PJlmgWA== + "]]}, + "0.21300000000000002`"], + Annotation[#, 0.21300000000000002`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{5702, 7182, 7183, 6765, 6767, 6766, 6004, 6107, + 6108, 6047, 6057, 5770, 7184, 6768, 6769, 6626, 6628, 6627, + 5927, 7357, 7358, 7311, 7313, 7312, 6046, 6509, 7359, 7361, + 7360, 6110, 7377, 7403}], + LineBox[{6809, 6761, 6762, 6760, 6764, 6763, 6003, 6654, + 6655, 6510, 6511, 5769, 5701, 6076, 6077, 6056, 6079, 6078, + 5926, 6500, 6501, 6499, 6503, 6502, 6045, 7197, 7198, 7196, + 7376, 7402}]}, + "0.14200000000000002`"], + Annotation[#, 0.14200000000000002`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{5700, 6939, 6940, 6623, 6625, 6624, 5954, 7340, + 7341, 7284, 7286, 7285, 6002, 7194, 7195, 6810, 7375, + 7386}], + LineBox[{6080, 7185, 7186, 6883, 7188, 7187, 6022, 6771, + 6772, 6770, 7190, 7189, 5953, 6505, 6506, 6504, 6508, 6507, + 6044, 7192, 7193, 7191, 7374, 7401}]}, + "0.07100000000000001`"], + + Annotation[#, 0.07100000000000001, + "Tooltip"]& ], {}, {}}}], {}}, + AspectRatio->1, + Axes->True, + AxesLabel->{ + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + AxesOrigin->{0., 0.}, + DisplayFunction->Identity, + FrameLabel->{{None, None}, {None, None}}, + FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines->{None, None}, + GridLinesStyle->Directive[ + GrayLevel[0.5, 0.4]], + + Method->{ + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, + "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, + PlotRange->{All, All}, + PlotRangeClipping->True, + PlotRangePadding->{{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, + Ticks->{Automatic, Automatic}], + GraphicsBox[{GraphicsComplexBox[CompressedData[" +1:eJzVvQd4lcXyP469YO+9Y7uI2Bv66rXXK4q9c+0XsWDvoqJiQbGLIKJSFeld +SoAACSUJECAJSU5OTk7KyQmWa0X9J7vvZ+Y7n5f3l+u99+v3+efheZbZ9u7O +zs7Mzszu2bfr3Zfcsn6bNm3G7dKmTUva94Bzm/+NCdqEfx7OEbh0wl3N//Kp +vEhgV1xaLHCJzxD4t99b/ioEfsO1rxJ4/xawb7XA413zGoHPdh+sE3iV679B +4H+4ATYK7P/WEKzzxPwAY362vEhgzA8w5gcY8wOM+QHG/ABjfoAxP8CYH2DM +z67TGoJ13Xiedn45NL8cml8OzS+H5pdD88uh+eXQ/HJofjk0vxyaXw7NL0qH +6143nmeRwJgfYMwPMOYHGPMDjPkBxvwAY36AMT/AmJ/dR2sI1n21bjrMicwL +sF2/Ilq/Ilq/Ilq/Ilq/Ilq/Ilq/Ilq/Ilq/Ilq/KJ9Y977KiawTzwsw5gcY +8wOM+QHG/ABjfoAxP8CYH2DMz/K5NQQr31s3n8iJ0B2vE88LMOYHGPMDjPkB +xvwAY36AMT/AmJ/l22uCOD6+br6XE9lHTHe8TjwvwJgfYMwPMOYHGPMDjPkB +xvysHFoTxMmldfPxnAhf4H3EdMfrxPMCjPkBxvwAY36AMT/AmJ+Vq2uCODmL ++THfZj7HfIH3EdMdrxPPCzDmBxjzA4z5Acb8rJ6wJojTGzA/lkPMt5nPMV/g +fcR0x+vE8wKM+QHG/ABjflbvWRPE6UGYH8tVlkPMt5nPMV/gfcR0x+vE8wKM ++QHG/KwetyaI0+swP9YTWK6yHGK+zXyO+QLvI6Y7XieeF2DMz+qla4I4PRXz +Y72H9QSWqyyHmG8zn2O+wPuI6Y7Xiedl9ew1QZzejfmtW49jvYf1BJarLIeY +bzOfY77A+4jpjteJ54XxDYo5TwwKznH/WSX1urn2qyMw2vnpZKlf/Q7683ia +Ku0Bo9z3kyvlgFHu+y2g7xdIuftc32VSzjDq+TQh5YBR7tcnKeWAUe77S1H/ +KSn365mWcsAof90V1Es5YJTv5/IzUg7Y4ikr5YB53eLWEevG6xK3TrwOvE68 +DrxOFs+rZD/ErRv2h12vVVK+7noJyk9S/ZTAWA/AwD9g4NvOb00E/4xPi6/i +yDi5v3XjJxGhU0u/iVi65HkzHTOdMl6YrpluGW9M50zHjFeme6Zrxjtg0C/w +znwnbh9wOeOd63M5YMvHszSONdSez03Rcdtz01Q6J+WSfCgQOG4fMd2BTgCD +Dmz9FJ1b0gJjnQBjHViOMd5Rjnn/p/NkPsD7HTDmZ/dZis5haYExP8CYnx1f +NnJ+5e/G4ZnHxXjncfI68Lh5XXgevE48L5bLqL/uebIcGUNwDsmJfCov+rfb +WT5TITD0IcDQhwBDHwIMfQgw9CHA0IdYvvxZ3/X9loR4GCGwX5+ZAvt2CwR2 +nz+g8N9uB9iPu1xgT4cJgT0ekgJ7OqsR2NNVrcDjXH/1Ap/lvqfz/LO/a/XZ +vlLu6XuCwL54jsDdXfEiWp+lMm43vN9XhO0qBcY8uNx+t0rKMU/AKLfrl5Jy +4AEwylHf79+0lANPgFFu8V4n5cCjnU8drUuDlAPPdj4NtG5ZGn/2P14HwOg3 +bl1sv/HrxHhvbZ0Y762tE+O9tXVivLe2Toz31taJ1wEw5ILHc1OAfYN9xPm8 +r1CO76Ac+VwPKcsj32wZ6RVqV2X93/LrhMCcj3GBjpAi35Pj8gjM9MawlRPR +elZulEk+YDuuKJ7QnutZOartGO9YP5THzZO/EzevuHlYellD5/++kXGgHP0y +nXE96I++v0GS2vwxkXLkTwj1TdRHinxfLydSjnzop6iPFPnQZ7gc+aBn1EeK +fP+dokg58u05LyEp8q2eouXIt3pnUlLkW7u3llv7d5rOiynJhx7E5ciHnor6 +SJFv7bRajnzosaiPFPnQs7jc2k+zUt+eZ7Kil3G5tV8ynY2JpSOkcXSCNI4O +kCKf19n6YaLriDRunazdP7oOSOPwjDQOj9aum6X5DYqcEy1/GyH1LX6LBUZ9 +6BGWj8wk+ZFL551cqX9AqHdYvreAzrkFUg69BLBr3qxXYx5x88S80A58kfkf +l7M9Lg4vcXiweMqNxUscHmx/BVI/Dg9xcgVygu0sLF84vzW8MBz3Xdt+kKyH +lZcjBI/AH8PAE/DDMPACfDAMvQN6qG9fKfCEUP+E3skw9E3omQxDv4ReyTD0 +SeiRDEN/hN7IMPRF0B/WB3gCPi2d5su8gQ/wLes/rxJ8WH46iOAxgne7PgU0 +rgLhw/gu2lk7aEJgK0dThP80jTtNcjNN61Ev/QK2crKO1icj/QK2crFB2oGv +WvtPluRgVtpZOdSmDdaHYeCX+ZLVz6YSn8uhdYnrNydCF4Dt+aiUzjMVpMes +Jvm2mvC6WvAGGHgBDPkE2Nopqii/SvYn+/2tnlUSGZfVn5IRP7qV6yWReVj9 +qSbil7Z0WxKZt9WfaiN+XtAb2jOeAIM/sN8U9Ae+DRj9MZ4Bg5+wX5L1L+Tb +/TxI+Dz4NmDwaeYbVi4sIHtolG+gvuXb0e9wv9wOMOgH9grQA2CkqIdyC6eF +3qyfJUF+lITwA1u/Rvq1duQk2Y2T0p7PHaA30BP6tX6blLRnPhvHR0Ff6Bft +4+aN9nF8FvSFfv36NQnMeGM82HlG+TL6w3cY74xHxou160f5OPrFd1rTU1rT +Q+x+UfsH7yPwbebDzCchp0G3kJPrtu+ulny0Y77JfJD5GvMp5jNYF2vHyxJf +L/nTvmvllsoVlhPM95mPM19mvsp2HchTpMi38V3lggfmP8gHPYBPIrV0MjNi +L0G+PUepPYT5JOgUKfNP8GOkyAe9sVwGDD2M5S5g6F0sVwFDz2K5CRh6FctF +wNC/WM4B9vgskvnac7zyWYzXntNr6FxeK3SI7zMfQYp8fBd8xcIqX8FnLJ+Y +SvQ2h+rnkpws+NO+w/i0dJ0S/GL9rZytIznZQHIuG8EvYKsfjyC6xV+B6MlI +MQ/U4Hn5/vR+wP+735wIHkBnVu+oIL9lgvyWCfJbJshfmqC4B7U3chwl1sHG +LSYpzi9JcXFJ4k81tJ41pKemSM9MURxHKjJP9Md6NMcJYt+hP9ZHeF48Ltaz +4/DKeOF5oT3r3XHrwnhlvPC8WI+3/J/vFw0i/j+C6HSQ8Pl1y5Ec0tNzyE4w +VdrbekVSbuUDy6F8+j7fK8mV9iynUA/ltl2x7CvLh4qJX1cIfgFb+3cF6ZUV +Eb3ByiH1azFfW/c5IUlySu0s1i5fHnMuqCE5VhOZF9qv+xxQK/LGjqOC7CDl +Eb3f2qEUT6jPer21UykeUd+vf5Pwf+SD/9tzVx3htYHwFO2X9Sf//aqI3PlP +vws7po07QryX2k1QD/m+v1KB0c7uK/Xnrlt/myAp8rE/IJeR2n2DeKnlkiLf +ysmZJN9mRsYBPgGYx4F9DtjK+STtkxTRdZrouJ7oMkN8EHgaFcI9Bfbj6Bfi +azDVy4mc29CvH/escF6TQ334K8nH/IBnxotP80K+NDdw0/p9nuSDj63bHp0f +5hcGE10Hi8PvFEi+vQcEeyjs1wr7cSXJPgZ8455NtcB+fVIk57Ee0E8U9uuX +JrkN+zXs3Qr7cbG9C/ZsyGmF/bgyJGezwUrXHnymUWA/zyzRLeKqFwi9AN9Y +f+snVbsI22fYvgI6BV347scRPYyRdffrO5v2ZY6sq2+/UPgN5D/GyXoAYNAh +y3HAoDOWwxZeGpGzgDEe8DPLP0sFbyi3+71U8Ihye+4rFbyi3PpPSgXPKLf+ +lFLhDygHjHLIJZQDtvGwTVIOmPk4z9vKGfD9CjrHqlxmOctylNed8c54tX6q +Etn3cXi2fqwS2fdxeAeM+tj3cetg7YUlsu/j1sWe30pk38etkz03l9C+j64b +YNT3+6ApnBevm+LR4zVJeE0R3moJL/U074zAtt3//nc9P6gUvAC2ccWVNL4q +0leqSL/RcUGOWD+yxlFDjth5pklvShMdpwkPdUT3dUTHdYSnBqL7BqLjDOEx +S3Sfpf2elfpxeASMep5vMl4rY/EKGPUhvy2ek7F4tn5RfK+a8J6KxTtg+z1e +h3TsOlj/J77H61IXuy7WH1oi8t+uUyZ2nQDb7zXSumVpfk0xeniUTwCG3ujh +wSLvPTxBYOiJkPeQy4ChB0LeW3troeh5nm9F5fq65fhSkTsWDwnCo9IF+Ljl +G8pXwIcBg88CBl8F/QO296fmkL6SIzDwBbxiXtZ+kE/6TB7p30tJzyoSGPhE +O6yThweJnob15HHa8U8VvQ3ry+PE+H1/uaLHYb15nBi/7wdxPEWy/vZ+e5ms +L+jW+r3LZL1RbuPOymT9UW7vkZcJPaDc3sMuI/29lO4xlwm9oNzeAy4jfV3v +2aIc+82Ov0zoCfmQn6A3xpP1a5aKfLV4TEo55K39XkrKIX8tntM0nlrCc72U +Qz5bPGekHPLayoeslIMvsd5i7btoV0nzZrnB82a5wPNmvs/zrie81NG8mW9n +iO+q/AWf5vW3dq5Ska827rlKyiE/bb/V9F3dFzbuslTkH8ptvE+pyDeU23Ns +qcgvlFt7MfCq8avgS+Ar4EvgL5ZP5QpfAl8BX7LyYLbwFRtnVSB8yfNRPW9a +Psv24ql0Xs6V8bJ9BPPB+Dyo9g+MH+NZt31jEcnXwSRH+xI8SOaN+uD7GJfl +zxMExvyAB1u/kPC8lOTCUvKnFkl9yBGMF+PzaT+KT58g3wc+ISfwPfQPfAI/ +vt4Y8i/pe10sPzEuW1/tD1butmmDepD7Vm/VeDDA9p2SctqfCbJbqd/dnnOr +6VyqeouNly4XGPLLvq9SQu+HlAsMeWbfKymh9zjKBYZ8s/HrJfS+RbnAkHc2 +7lrvT9h7cWtED8K62vXNI3ouFHkAvcDeN9bzJt9Tt+uYpHopWlc9B9h4GI2z +sN/LRr7/Z30XcgH5kAO2XjWNK03jqqNxNdC4eB1HCf/BeoGfYL3AH7Bu4MvW +rqf3Q3nfAV73Ps+J+KUB8z7kfcb7iPcJ7wOmcxtXmSA5mqT7CjV0P6FW+rP+ ++jUR2O6TUZF4qNb4EPMZ5iPMJ5gP8D4H7PE9QsbFcYxIwX+R2v1dSOcL9bPa +/pSO0A6pPedE/aHIZz8j+w3ZD8h+Puwz9q+x//O/9R3oveBv7Eez61pG/LIn +7cd+dB4fJ7DVXwrpnFco8tZ/b3DsOR9y3+7zUSL/7Xm8SuQb7DeQX7DHQD7B +vmLPVw0iX2D/wLis3B8Vc96eSfPX8zLoiu3a67Yzsx2Z7cRsB2Y7b9SewOvL +9nC2c/xZ4/LLGLWXAmY7HNvV2E7Gdi+2YyH9s75r98sIoQ/QC+iD40j+VboC +HrF+dr/2JT43gexhc0QftvJW48B9u2Iaf7HsQ5TbcRbTOAaRXl5MfLiY9LFB +Mi7wb8Boj3GivcXHiMi4+LvcD2Dg0dpRE2QX1XcTLX8pJf9sqfAXwOAvgK2+ +qX4nez5Pkr6fFtjG6VZRnC7oOUv1a+g8UC+wtS9US3t+D5L9uhwXY88PGdIL +sgLzvNCf9UvqvVyO+wGfsXpGNvL+oY2fT5Bfs5rsS0nyI2ocKscNga/xe4Q2 +vj5BftJqslclyU+peMP3UM73hDkOidcd3wef4HXF91HO64Tvo5zxjO+jnO8h +870E2A3t+Sop+wx2Qewz2AGxz2D3wz6DnQ/7DPzAf38w8YevBLb2hGKxk/y7 +7SzfKyT+G8c/NS6J+WFrcRXM/wBDTtn46jriKw20b7OR+jaerkFge99O4/Fs +HHqD0A3qc5wfxyXbOHWlq7hxcRxz3Dx5HnFxz3F44XnzvOLipq3eUSx2LUuf +RUQPy8j+pfmW3ipFPvh6laS/6TvFsE9bP0cF+VvxzjP3UxmTr/ei7bgWCgz7 +o7UPar7Fg97zt/b0uLgrfsehtbgrfrehtbirOrJPtxZ31UD3UTOtxF1lyY8T +H3fF51CmG+CV+Y1PexL/6Sf1wUfs+o0j/jNZ6vvyOdTfbDofz5VxWLrvR+Od +QPrYZBrHHCm3/RbL+tt3IVJCHzYeolrWG/Rg41BrZH2tn66B7CwZWW+sn/XT +ZWV9wYdxUgTf57i1dev7hVJu+5lJ5Tl0nqyJ6E2Abfyg6j2AbRy/6imAbZy+ +6hHcP+tNgK0fJ0lxzEny46gewu1ZDwJs4xdVT+Fy1lM4vtDjFeeOPDl3YP95 +eswlOtX7Z8jndbTnBvgXca5YLbAfj8a/QU9Cuad3hT3dcbxaksoV9nTC8Wop +KlfYryvHq9VSucJ+nTherZ7KFfbrwvFqGSpX+Fc33gzJu9JQH6uUep5fKGzl +H/CoePHtqwQGP7HxSilaB4XBX2zcYprWIU3rzu+219M61AkM/oP6Ho8ZWocM +fS9LdJGl+TGs/l+LN4X9fuD4LMZbFa0Dx2NVE96qaR30XA25bPFWQ+vA8VaM +tzrCC8dXNUi5p9cGWgeOp2qUck+vjbQOWRp/E81P8e7xDftXE+WPkXOI5yej +w3qfCuzrDyM/I/yriJeeJrDXu6aLHcaPZ174nbxw3Ar79vPJXwr/CvQPhX07 +vItdQXhMEJ503T0967r6fa98xe973R993HcbCV85gi87/08FBr4wf+tXzxN8 +AQa+MH/gC/MFvgADX5D7fJ7Dd1Fu5QT//o/q6Tb+O94vxHoAy2X2G7FewHKa +5S77mVhvYDnOcpnlMPupWM+AXRr9AUZ/gNEfYPZz2XgEvb8H2OM9T+yZPn8p +nc+LIvZav36zyB/Bdk+2a+o6A/bzrSC+y3yV+WYN8cVa4nvM13S/eLpuoval +QneWn1bQd5UuLZ0mCE7SOVXv5WH9UM737rCeKOd7dVhflPM9OuiHKOd7czZe +iO9RJCLrgH7YLmvtGIoHjsuw8YFqJ/WfVXss2oFu7feidmfr51I6icO7tbNU +0HlZ392y409G5sFxJDg3WRj0mIrYcXlf27g2vpdSE6H7OLqx9ysqqL3eg7Pj +53HXkP21Rs59Fobemo7YiZlP2XhEvldTG9nHcXRv74NUUH96r8+On8ddG4nT +wbnVwo1yTma7M/NdzI/9HICZL8XtW4vXCrKf1EXs/IB5HhxXBDsKYM/fcb5s +iNitMR/20wBmvhrHZ+z9mgqy7zRE/Ab2/YqGSJwTYIwXdgjAqIfx2HlWkP29 +guJeo/0AtnYoyI0EyQukfA81ISnOp/ZeajXxR32/09r7a+T8ae+t1tL+1Hus +wKOlb5yTmijuXu1vdp2bSG4PIn1uqsC+H7UP+H1S8B+2Kxa8WTyzPTdFeE4R +364lPKeJ79UTnuuJb2QIzxniX02CZ+DT7rc4v0fUD+y6/x96MctZ6zdKxMip +qDxi/s38jvcd6N+Poy/ZS2FnHSP2TesPn0B2zAlyToG9089zltTjdxt9v/lk +/8wjfXYp2eGLyO6u73ACn+APwKOHqwheSPQZtb+zfZ3t52wfZ/s38Oy/05PG +N472y2waTzWNJ03jqaPxNNB4GslfmEfnx0I5H/6//ZTRfWj5Wg3pW+zHrCV9 +hflaPcl75msqX6y9ISXrbP1y2D8p2k9pogt9z8PatypkfVHf+uWAhzrCSwPp +pfo7fta+VSH0gfrWD1dB9i31Y1k6VT9YHJ3DLhiHJ8DW71VNeEvF4g2w/R7j +MR2LR3sfsELo2uK1LhavgO33GgjPmVg82/uAFbJvbNyg2rugN1l9vZT0vzKq +x79rpvZwn63v7YMvWv6bI/wX/BT8lu8lgJ9af1Me8dul9B29F2DjpsZRXNds +6m9hpD7GyXLD9zM6HOc7FN86Svq341Y5AvuWQ+vvE+leySwZD+bBcsV/F3Fl +c0kfAV8sIr+twtYeuFj0F35PA/sP52prL64Se7E9lycpXgX7D3Ywhf38VZ+0 +8bLq58U5EvZkwLAnWz9gmt7Rwv6EPqUw7MvWT1hPdrIGOQfB3gwY9mbwd36X +H/sP5w7YnwHD/sx6rdUP+sr6232UR3I4T+gT+wL7COtv95nSuY1nnEz2FJWT +LBdZDrLcY3vU/5ZdGecYaxdTOxH8bpbPRe89Wn+Q+pusvl5K+FC/m+Wbes62 ++FK/mz2XRu9Joj78btaPEb03ifrwu7G90BdH3z1gP5zl90ni91E/nMV79N0D +9sNZvEffPWA/nMV79N0D9sNZvCteALMfDvVZPgJmP5ydb7zctPuoifCq8aN+ +f6p91+7bMbJPrd16jNRDflw9Kx/HiHyy7eaQfJ5NdnG9B85ylOtZ/pUj8sy2 +GxF5XxV8DvUtX8unfvNi64H/AYY8tPVGSD2cb227pcQ3iyiup4jOc4Wx9fw+ +we9cIF4Zv/eg8UCoh/y4evbcpHbTddsZK8jOV0F2sgqSnxqP4r9XRfcCquhe +QBXdV6gieVpN71qn6F3qlLS35Q0yLntuSpNdLC3zwXdRDn0cdjD0C5jfy7F2 +bo3z9nS2TOjEj3O5nDf9NlQY9WEnQX2/vvOkPmDU9/ujUOr7/AJ6Z5bfw1gm +52C0A4x2GDfq2/vK0Xlg3KiPccbNA+NGfYwzbh42PnS1yGvE2wDmdyTZXwW7 +ppXfbLdM0Lk+KfLb6gH6nrGNx0qRPFeY48qtHbSe7Af6jqSNh6oX+W3tCfpe +MuiZ7eFs9wI+7P5I0n7Q/WbtitH9z/uX96O9l7Va9hHOhXHnRvA50Av4nKXf +YqKfZdIO+Whn5SB+12Mc6cdjCB4k7bBf0M7jZ6rIO+yP0lDe+fq5Io/sPl4o +5ynIB9A/5AP4JNbHl1eRfqW/U+brV5N+pb9DZs9JaeF7oC97DtLfa7H3HTQO +1sZBQ9/RuFfgweI5R2DgAfV8mk/4KyL5rTD4gNXjNM4OeAUftPJ4hMhf1otQ +bsc1gvSKQTIO0AXqWz66MEZvmEp6wFf0XdVvwGdRHzDPi+MaUB98l/UMzB/7 +w+onqleAHwPP9t6qnv9wnvfjrhS+4L9bKed1lINPoBzncZSDb6Ac522UWztv +ZcRPZu3QlXSeSMj4cd5EO/BHtIO8AL+D3cP+bq/qO4DBP/m9FcgPfB/nW3wf ++x3fh/zB/gfM95z4HhK+z++52HsVep7G98FPLN6UvwDme034Hr8PY+Wkntfx +PfAnfM/Go6YFRv/8voyNe9bzv6XDeunfnpvrBLZ6nep/4HvWH94o34N9wdJ1 +Rr4HOW39FRmKJ8jK98BH8T3MG/2D36J/e25spHMjfv9Kf4cWMNK4er5/6Gka +Fw2+w3qkpevVQqfgy4At/1hN+ldUrwMMPGA9MU8bj9wU0YewHrZcYfs7Nf1E +DsDOBb7u+eBc4cuwk4LPgr8DT5ZfLxcY/NTut9VE/+XENxFfXin8dkKoH4Bf +gT8AX5ZfwM5VRfY1/T1V7G+sk93vWNdq4VfQL8AvsF/BH+z+Vbss+I31i6Rl +P1o7WB3pmXXCP7BP7f3PBqEHu9/qxS4L/mDveWVk/1i7WSPpsY2y3609dLnA +WF/Yz32K/aOwvR+cIH6TJH6QorgOPVdg/a29UWF7j4/9m9FzEGDrx0zKd+2+ +1vf5LR9Okb0yReedGoqrSQve0a897+g5y8pJllPsd2O5Uk9yp47kAvvNlI+D +76Icei7KkQ95b/OrqF019avyH/LT8nedF+QfyrFPUA49CeXYByiHnmTxpvLG +vl/H/jrovXOEX4I/+nSq6Mngn+CXvp9c4ZPgp8wXIY/Ah/134d8YK/40yCHU +wzh8Oc5rOaG+O5H08NkyLszHl0Pfnkv2jYWkry+S/ezHt5ju8RbJurOfDHwb +685+MPBlrDv7uaz/uS7ix7L3ZRsifirrT26M+KGsPrKIzss4h/Uk++cYmve4 +SJwr/CugKxvfo/4UlHOcJfwnKOc4RfhLUG7tLeofQbnlP+oPseMrJX4S9X9g +PVHu6U31fXtOj/o3rByN+jPsekb9F1hPe55QfwXWE+XwT/j1U3+DX8cmqQd9 +0Ofn0XrnSTnHI1m/4UqxS3u8sN06Lfiz7xNUyfkQ+wZ4AD7t7z2l6D3easEL +vmN/5yhNcaxpwlMd3VuoI3t4nch9v+9nCcz2X+ALMNt7WY8AH8H4sU6QT4BZ +j7Z+13KB+Xc5rR6QIH0hQfs2SfK/muS/6of2XJkif4HCqGf3b5r8ARz/qXFT +kOPW/l9P8aD6fgfwZu3/GYofVj8F24GtnpWK6CNWT0pH7Lz8O9Vs17V+juWy +b6wdHfKwQPYdYOw70A3kNOQx5CTkMexdkJMWzpX6kM/s/+P6oHfUx35AfcCw +d6I+zk8o53dMUR/7xcap5JE9Lk/2AfYH7MnQm/ndZPAh4M+PV8/Dvhz+mRVk +b0zQuTYhdMV6vfXD8e/iJiP7hPcB07m154+QdfbrMVjWGbBd55mybtafM5f8 +Uvr7PFgHT4fzZB0A8++hYx8hhb3anhM1hR5vz4FpkotpOuepngM93p7jVM+B +Hu/HkxU+jxR6vLV/DiZ515fgQaLvoD7Ga9+7SEfkl33foi4ir+x9v6h8svav +RtL/ca5cKv1ZO5PSJ9OJtXeMiLzjB5jLmY54f6PcxpXNjNARYCsfETeo+xn7 +2+oTRbJvsS6AsW7gD/weo72/r/LP2k2iv8PF+9j6AWtIf+X7D7Vk14j+bpe1 +W/D9B7ZLZGS/xelV2Id8fypOr8K+5PtIcXoV9inf74nTq7BvrZ2+SPYb1tGv +X7+IXgOY7YSs17Bdg/UYu55RvcWuZ22EP9v1jOoldj2jeoiNW9D3kqyfT+1s +Nn44Jfsf9GXPA2nhI6AvGw+sfARy1Kdj5HeZAdt4lRwqV9ivVz6VF9HvS+t7 +fOBP0Gug99h9uVpS5Pt+Kmmdk4S3JK1zivCWonWuJbylaZ3rCW91tM4Z4bNI +kQ+5Afq26SDBi8Vjk8gtpMi3+B1E7aYSvnMFhjy3v4O+7L/WD9PNv0snVk5p +inzwBd+up6TI9+NZKXLA2pVWCr/3sN6bQT7s7Hi/xc9/guDF2rfGSWrz5wje +rPycLamVo4sEr/ad/4WS2nx9V8z6b9T/a/P13S+kyMd+OSDUV/y4qkI5q+8x ++foalw17ho3LTEvctbVnqJ0KcdWwZ2C/gF8hbhr2DPt7F430LkdW/BqwM8FP +AbsS/A6wI8GPALsR/AKwE8HOD7uQ3Qf6ji7kjT0H6z0hvhfE94D43g/fn7Ln +rRIZh5V7+n6bb4e4GNivSiS18c0VQudIbb76i6zfCPSg/iDrF4J8VX+P9ftA +vtbKOli/DuSr+mus3wbyVf0xSJEPOrX7Wu/pgA4B8z0aq1/re9rWbhe912Lj +ebUe1tN18z9+99Ln6+9cWvsZ4jnVD+v709+tQH/gr7Y//V1UX290WH6fwL7e +ywJ7ehso9098/Slyn8TDueLfKnMFS6S+72+swJ6PjJf2Ps0R2PczR/qDHR6w +H9cimS/2A8brv/OFpHaeOWRfAN5nSmrHnS/4w/j8+BdIavGgcbwWH4WSIh/r +52FNke/pKvpumI2L53fC+B0wfueL3/Hid7oyEXr1fL2Svsvvj/H7Ymn6Lr8P +liG+kw2/k6X9o34S+KvBb3A+wb7me0JWb4a8UX5j9WbIG73nY/Xm6D0eqzdH +7+kgnh/2c+vHKKN3szS1clbnhdTKWZ0XUitndV5IrZzVeSG1cjYr80KKfOgH +9pySonNJms4hdXTuyMg51trPNF5k3fG3HF/L8bMcH5uRfvg8ADoDXUO/QYp8 +fJfPC6BD7APoP0iRj3HyeQJ0in0D/Qgp8jEvPm+AjrHPoD8hRb7Fs6agc+xL +6FdIkQ99y57f9fwF/gS+hdTyLT2Hg3/Z9w31fAY9DXwNqfUL6nkNehz4HlLk +27hl1fPAF5EiH/gGXUEPBN9Einz7XkJG9ETwVaTIb2P+9PfUAUMOWbmcT/df +80gu630VyBnUQxysPUfpO1G+eLCcl5AiH+cYtu/5fTIv8jtk1v+1TNbd96dx +aqAre28K41sl5yzAvv85Atv4glVkv6+kfqoEtnbnVSQvVpEdbJXsE8DYB//p +OO14Vv3p4/bjGCEw7LH2ewsE9vRX+G+3A2zj2FbJ+cmOO0njrhHYvj+1iu4L +rSI/2qo//bvY2X4/9iS7RF85b1t7SRWdK6sFtudo/b0twNBTAEMvsfaZNbL/ +rd2kicbVU/JRz+9ztpesEhgp6lm+XyF83p4fk3Re5PMhnwfr6fyXkXOe337w +p+v9D8BIUQ/0C/7m5z1IYMsPRwh92/j8qQIjtftggfBH31+uwEhRD/sD/BN2 +H8BI7T7Sey84B/p6/LsIeId6GJ2T+B2Fr0QO4V1MW0/fUcD4IZd8/nw6x3F8 +VIHIKV9P3xXld+Gh50MP43fgoedDz+J336HnQ4/id96h50NP4nfdoedDD+J3 +3KHnw95k7StNgjecQy3+Zsq8PfoXRO5Bgb4gd61/boLQE+QwUqwP2w35nX7Q +A8aH9cb4sJ4YH9bLnmOV7pAiH/3iO+gX30G/+A76xXfAH/066fsvyEeKfNRD +vrVbVUqKfN9unOwP4BX5Hv9j6V3ecVIP7ZCPemjn09myn7AuyPf95JC9YbbU +Qzvk232o96Ox/+w+Wyh2E0t3C6We3bcLad9qfCP2K/QV5Pt2RaRnaj27z4vI +7sH+WY0Hs/f6Vgg/Qz7qWb6n9dAO5xP2F/HvJft+NI7Xw5UROzrO7b68TPRZ +nGvQD/qFXQP8ASnyIQ9xDoLchd4AuWvltsodP95pYo9jOeO/N0/scyxXfH6B +2OugJ+A8Z/WMBOkZSdIzUtS+VmCcnwBb/3SZ4NXPC/t4Fb0TsyqcX7XA1v6x +SuwagGHHAAy7BeADSI+x/Sao3yT1m6J+awXGuRCwtaupXjKB9A7Lf6cJX8Q6 +Wr6Ie6F8H+dT4lf6LrjtJ0/6wb6EvIW9A/IV9gvIU9gjID9hX4C8hL0A8hH0 +jv2HfYl9hv2DfQb8WD24kvTgJNFniugzTfRZR/SZIT1tsuhhkKMej4UUhzKM +3skYHpaPlPXz7WaF+2pGOH6Vp74d7Ml4RzxP1tfajwuDdq6dvpPI8hb5vn/E +i8J+rH4I8E3r51xJ67BKYMuPk7Rf9HwEGPXtvYyVZCdbJTDq23saK8lvuEpg +1Lf3NlbK+tp9XCf17T2OlfSeyyqBrVzJSn1rl1hFfkfwpUriH0niHyniH2ni +H/XEPzL0Lv0Uop9coRfwb6w76MD3C/tzGa1HgtYzQfhPUv0k4TtF9VOE31qq +r+sLeWDrKwz5YOtnaLxNRL9Z0cd63bTeQ4fljxX9aYvTP9vwkM31Pvllyxdc +OLWD3h9fctRD+YOHFYXfLQ6+eXyzNU0nrQj+8e1Tj3w3dWAw6bLtRnQp/iQ4 +d6/Nluw1ZEpwz9+K0hcdPS24c99ho/Z9ODdYO3nLryaf0sxXxy76aeyHS4J2 +B+66weAjCoLf93tk309ubD5/3j3ioKbZzfxsvYJ7nqldHZw9vv+dxzyvKfKP +/f3ds2e0TQRXtxt93i0nJ4LMuT+XvdQrGczfP7Eq2UVT5D/Z/fS7Ry5JBVee +c2i3TQdoivxt3nxlvaW71Ab13Xr81j6dlhT5gyYuf/OHm+qDJ9+Y9nrnjpoi +/+iyvQ7cY0Qm2GbCRvs/+IimyJ/b5vZJp36XDQaWXDT+g5xs8Nn4ks1O6tLM +PzZ775Xy/IEC33PI2yu3/3KKwL8fePcxezyeG3wawudOfvPJkQOXCDy/Xdnf +B3ZdJvbKWz8f3tj10lVSvt2kNl8c+cJq0YtQjhT6E84DyPfrXSUwzpOA/frX +COzprE5g74dvENjTfaPA9Vsev3JsWfM410ttfsTmQ4PaEN672/cjOhWOFLjL +Z1N3Pvmi6UFdCF942H73J1bOlPLszesvH3X+fIEHzDjrqx6/LhD4w8e277Pv +pAKBvxt6zAYbvFEo361v5bu19N26//C7gLe4Im/t2u7lAt/8XOae8rMrgnQI +73LxyG0+eToh5TNvnZG3fWNCvj/s/h8GzVuQlPLLXt70uuOPrRb4pPdPPSaz +XY3Ur/2yc9O1T9VI+aKvXpq3zbW1Aj+w7INnnplfK/joWlV01TGf1Qu88U/J +7Qdv2yBw08Z7ZK7KZmS8H+552OC8qxulvzTNqy5mHl1o3Bhnfcy4MI5a+q7f +703hfm8KynuVzn7u728HvZ+7a9aL170WfFP7UDN/KQsuG/Z5M38pk/bbbf/u +4uGHjJfxLN39nlG3TZ6tdDHyrZ9+Wr1Q6h8+8Np9z1pvaXCA41vN/H5Vzdqr +Fq+QFPnot5b6raN+66lfwUOYLnHrVCnw3926VAn8jVsHxd8Lf7nlySePSweZ +EN7D0VGdfOdzRzcNQUMI/9XRSTYo6HF31REbvhD5/hF/ffD4pk+agtlzPht7 +53nLJf/yuuyZfd5cITD0Aezvqot7nllQoXZk6JMof/TIZ+5c2U7X4Tk37iaB +PT9rivAr5KPejt/MO+iC/Yul3OptOg6UW/tumzab7r/+WS3lSMEnPzqpsFnO +LA86PfZhs9zRFPmpRf+cvP2WFcEzW84aO29YeXDOxqfO3mjQxGDf5Q8OX77D +hKD723MOffufc4LStTfs9WuHOcHEg+p6HLTb4uCAPs/d1ufSRcF6q3uVX/vR +0mDS611WbtNJU+Qf6+RGZbCdkyOaIn++kydVwSAnT6qCD0/26eL+Pt/LxVQo +J1NBx64+7Zrj8/0+SYf7Jh3k9Kp06Xc1Pv9RJxfrgsudnKwLLh5xiEufaXuG +y9/WycVMkHFysiFILbnPpTt1fNXle7mYDeVkNnjou6kuHdal2OV7+dJX1sWf +I5YL7IvLIuv/r7ZrwULNz58HFzZjpVflMEmRf/PMoze+4O8zgxOfeufb206Y +ISnyP7/kqr+Vv7AgqCls+utZs+ZLivzHvjnlguMvLwx2OnLzszLfFEiK/Ocd +nhJBF4e3RLCLw0t1UOPwlAyGOjzUhHipCU58ZO/mda0NNt21ZZ1rg4VuHeuD +D9y61gc3uHVrDDq4dWwUeoXcBww5DhhyHPABoRwHDDkOGHIcMOQ44O6hHO8e +nkt5/yAferIdZ1Jg6MF23GmB3wj1XDvuDI07G/k+8p9z+7IkSLt9WhpsvvOL +zfuqIhh6+aXN+0xT5Hu6rQrpOCEp8v16VYfrpSnyT3LrVxNs5tZPU+QvcutZ +G/Rz66kp8q9x69sQHOrWV1Pkf+32ZWMw0+1TTZE/7+k7tngvd1TQMuol942U +FPkjHN3OClKOjmdKivwN7x+aM29gXrBsvym/blC+QFLke75XGPJBTZGf0yxs +8x4tDm6Y06HPkztrinxPpiXBt+68oL8r9OEm7+5xWseq0C9VHXRoXznylkf0 +d2dmXXzIab1z9HdaLnngvqUj29YFZzr6agiS70+9ZWkX/X2Ch6Zv+OMP/fX3 +SfoPCQYdvWWpnPsv23H3qwY18+/ZHcs/nX/vyPA8OELsFLv26nNs9pfPg0f3 +uva+DWfNFLsH7BRLeswvfrWZP8wc9fTUd1ILxA4CO8WrFX3yZj+7IOj18SU9 +d3i+UOwisFMcsfDFo6+6HO9GVQQ75/bb4YTF+vtR09cU5j7xEe5nVAXf7DHm +geQu6s957rRfNtm0a7X4b3a69YwP2o+okX07rPer7Tt/h/smDcFJXxZPf6CZ +fu4I923+0r07f9BMLx1u3K1ZTykLFn6UatZbSiVF/vjOLfujeZ12b9kfpcHJ +jo6rgi0cXWuK/KfdfqgKPnb7oSpY4ui6Oujv6FxT5G/v2lcHR7n21cFNjs7T +weGO7jVF/meufU0w17WvCb51dF8XzHL7QFPkj7+hpX1dsGpOS/u64DnHjxuC +Sx0/1hT55zzX0r4h6FbX0r4h2NHt+2xQ7fhAo6TIv9q1bwwede31Hvwst36K +N+AR9PVdp0nVm/YcLfQ029HRLKGfk95YcOMVG2jc6Yj66sHX7ay/i7bYnb/V +XnXi1h1O6Hkj7BVVwfOOPqqCXRxd6D1ClOe4/aTvJ+zs6jXzMUc3+n4Cyi91 ++03fU/D0VRN0cnSl8Vgor3H7Ud9X8PRXFyx0dKfxVyh/2O1XfW9hkavXENz4 +4+3J6Uv0HiLKN09e2HuPtL6/4Os1hvtE461Q7vlLNrRT4N1Wjfv2/KEi7Jfv +byfC/sGn9L72ayG/WuO+Wx0c5vhWTcjHNG69p1uPmmCmwzvfx64N929t0Nnh +uSEY4/I1rn2ww3d9UO3w2hiJcz/R4VfvX3dx/SSD4a5d9L1Dvz6pcF04Pi8d +rkc6WOzWIfreocdTXYiX6HuHHk+ZcD04fi4b4ikbPOvwov6f6528KA9mOXlR +Luv04PVfPNHQDC90dK/3Df1+T4T7XdfNjzsRziMR4ikR7vdkqJfpvTU/j2Q4 +L42n83paKtjZ7XfEiTbzHTevmnCees/tQcf/aoMhjv/pOnt+XRvKNb335vW8 ++lDv03tunh7qQ7mn8XRev8+E+oLeexvi1jkTykW9Fwe8AY/AG/AIPAFvwBPw +BrwAT8AL8AQ8AC/AA/CCefM9TeAB8+R7mpg35sX3NDFPq9+OITiH9M58Ki8i +fbFY9AUvj0tF/nZ041X568en8tfzx7TIX7+/ND7C6yMqfzd1+GsMGvq9dtI5 +nd+T88yCwgsea9d7QOSeG+rhvPv5TttOuafbSoEX3/BJ+eTfyoLu77dbNrJt +k+i/peE5ee+X92/e55oi3+JjEOFrKuEnl87HBaSXL/uv9QMY9sun3py421an +lAaPfrHtNTcuu03ykV6a/fSjv9Tqu7yv3Vryl87fVQYV95c1r5PGOzzd7ZzU +17OWSbtt33jjoZ3arhAYdgN8/7iS/T+8oX+plP/9qWN3/uu3WYHLCI9IkY96 +15zX7vs5I4qlHN/Z4Ko9vv6iYbLgyeNnQtA7v/3HD143KVgwfcxpd+yWK3jz +85gTbP3jlPcvvHRusGPnFb1/OWUJ/a7IouDK3hVVFQ/p/baRX/9al3vEsuDi +rdbf6YTF+u569/DcjHG1C8/N6z7PRetZe0xp8MPDJ3V87GG935U96ud5vX9c +FSx9u/aLslq97wU5C7kKOQs+Azn7TShX+T5Yh1DOQq7y/TDIWchVvi92SShn +Pwvl6hmhnAWfgZyFXIWcxTwwL8wT8wafhZ4BvYLvlz3i+LLqcdDr9gvxmjrh +5obcZv37pFCvg54HPjcg/foXu89TPdL6V3OCXTZu3HufF1WvhJ4JPnjje9ve +MebzvOCUHX977ajf8oJ91u7522aB3sfp4s5HqndCD73d2TVKg4OdnaNEUuRD +/4DeCT0Teuew8FzwcHhOgD4CvbNLqGdC7+wUngs2D88J0E+gd0LPhN65MDwX +9AvPCXeG+kp+qHdCz4TeeWOOPxd4e4rqL9A7oWdC7/Tn7IZgRi9/ToA+A70T +eib0zp7huaBzeE640n2vKjjefU9T5Ne7/quDPNe/psj/bcuW/mqCVUNb+tMU ++Vs4PaUuyDi9pVZS5A90+G8Iz2maIv8Ih+/GYFuHb02R//qpLef80uCsB1vO +/ZoiH3qmXxfcF02FeNf7LR6ver/F403vt/j9nQnnXRXiQVPk+3lXh3jQFPlb +uXmng6zDQ42kyN/vipZ5N6/71y140BT5/lzaEGzn8KAp8s8e2EJvjcH+J7XQ +m6bIh77l95Pez/F6l97P8fSWCs8TtUGToye9L+/1KL2f4/laRvDM93Og9wPv +WAfo+Z1CvR/rwPdroPdjXax+r3o/1onvx0Dvh17/XKjnAw/Aix+H3m8BXoAn +4AV4Al6AJ+AFeAJegCfoRyf2ufqojtu8L/JqfChnrb14jsCQo4DLQnkJPQL5 +4HfW/5kiuZgW+B8hPwIMfmP9EtnYcV43f++POr46SeZ12o5HH3TIbxOD3huU +l258WXQejz047r1D/zFX6mc+nF42eP+5wcthfZ7nrE1XJab1WSz1jzk82e6E +cxZL/8AD6r+w6Mm3DypRf9X0ymcn3jJhqdRnu7TF9/8eHsGXnbq4c6XoYacd +++k3P95YJXDR1Y3P7Tm8mvS7GoG//+SpYbd2qhM//Avz55/08vMNUr5H47aL +v1zcKLAd7whpt/e79/R5pvdo8rfPlPKS1WXbLK2bRfNfIP3ud896V9+yVb6U +w56I8mPXe7PwsV2L5Luo90Dw87t35n4i3/lxo72nHTb2C1kfjEO+e8ZZ5Ve1 +nyb1517aftJ1b8yU+hgX6t857uzjZ5w4T8axTc3F660Zv0DqY5yof83+E2YO +PbxA6refdmK70+4qlPrQn1A//7duHZ6rWS3133/36757HFAh9aFPov4/3Xol +VO9eM6v0yNKE0Dv0S6Fft55Jqf/NDm27X3FAtfQPfRP1d3frnZL6PU/o0ubx +u2qkf+ifqP+5o79awedO1/fvO3BCLc23XuoHjj7rpf+hPWsOmPt7vdSHfor6 +ix39ZqT/44ccPrHunEapb+M0yqXfT8rODa4o0DgP4BHlie2yR1x8RBXtL8XT +Q8cdN+f+R6tpv9XIODa99unL35+teANe0P6DpxfUfrVFHY1P593+s+0eq7pM +9zPmjfLpC67ZcpOPGoPlecsf/Hy/d096YHJhh1WXPBw8l160xdSCrsGrR321 +7OE9nwlO/rjbJtnap4N2i6tPffm8VwQvh+b2PGvMpPECX/fPW7o1tJkj6zj8 +hd7jn2i3SMp/eOWK3zdptzS4qudbh557amWwae/C8aXlq4I1g1dPu+ulKoGf +zD/wb32LqgXeZs3diQm7pwX+dIfJPUpvrhP4qBPW37jNyAaB8647/70DfmgU +uM2Yfd+et8lYwev5/xi//YNDcwQPr/+66tpNF+VLedPZv1+y6OEiKcf4jzr6 +hQlf31Up8NwrC87ZaWKVwJc/sWvpiW1SAtd+3PWuG85NB6+E8OO5I35/tm+d +4Gerhu/eGFraELwUwv23PuWARQdkxW/e1cntpmALp1/ofSikBU7ON8m6YJ2Q +j3ppdw7Se1I3XTnzuvxvFN6n96tfHXreqmC3Fz4/7ct+mo92sJ/weRb5lr7/ +9+Oe4Be17RIkN5LULkXjTNO+q6d9lqFxqj4BOV3n4muykXp3hef8js4/tTx4 +zvmv9B5Y22e/33qbOXo/DPXQDvloB7/ad51+3fazO4YGH6bPf/qpimGhXjM4 +WPjtnY3XrPhEYNRDO+SjHeTVFrPP3v2HJ6YHN+5y9yXVx8+QOP9HB/z2YtHR +0wRGPbRDPtpBni12/rz5ob8P8cXzg16JT1795ZR5AqMe2iEf7SDvtnB4Kgjp +Ve+hebpUGPXQDvloh3sXNzq4LKyv9506LSk7rN/gKZH7Tl0u63bzS4MmBjU/ +bVdZ8VAuvY80N/hu2tW/FP9zTnD4K8cdct+HS0L9a7Gknf721Bl37LY4GOD0 +/+g9IW/3rQztotH7RchHPeSXO/9iRbC1O39VhvEQlcGiMP8Nd46sCM5258oK +ikvVe0MdtygJTt1mbLBLr/M2u2QHvX90xWdjBkzbemyQ90nF86/01PtHqId2 +yEecK+wm3i42O7jJ2UdywrhXvX/0z+on3runOb/DzTu8sjKl949QD+1s/sLI +vaHhhx475ozC/GDAbdl3LrxU7x8FDw1KrN+c/8j3xy+/c3Otj3poh3zE4cJu +49evKLQvFYV+dr1/5P3wRaFfXuujHtohH3G91j6+Ihjg7ForQju53j+qcXEW +K4JnXdyF1kc9tEO+94/rPSPQOexgyAfd7xeeJ739PRvamfT+0Rznd9X7RzhX +4pyJdugHegL0BtjVQG+wo4E+YDeDHQ12MuAfdj3Y+SDHIAcXf9tu5oymaZF7 +sOBbHdx+nBfyvdwIHzrZ2QOj91zBV8Df+ZzI50A+5+Ec978tl/6suCTA0Ffm +3zbt5+DgYaLf3HXlkD5nrJ4u8OOn/Pj60W/Ol/q33b7VXcnSAtHDDqisyLnr +uHIaV7mUD3J6ncY5QZ9G+dFOz0uS30P1xAVO79M4KOjTKL/a6Z21Ug59GuVZ +p4fW0/jqpfwJp5dq3NTZoT696K+bTLqwmU//dMbzC15pzr/2tovPuy+nKvgx +hJtefr/snbYpgXuOquo+tUta4O2W/2W9yv51Ag/+6f43N0w3CHz8XtPbHdIx +KzD0NOhtrNdZ+8vq4IGRp291RnO7qe9/O7VH8/4FfN70The91ysp8Oqq5yun +LUkJfO8mS+5L7FIr8Abtd9lo4671Ar918U3vHjoiE9FrWC8B/wGfurck2WXE +IZ8H3cte6tX2jC+D1IvX7fVrh5nBzZvNO/Ttf84MNtu95219Ll0QLOnX0OOg +3fKCqS6+rDD4ZaeWOJDC4MBbWuJqioOyD1rk3XJJkQ+5BzkIvubt4nrfy/OB +ZcFdM1r4eFkw4aUWvl4m+wtye5Nw/TNbv77XudV6bnn66FWj7josKfB2V+13 +et8HU0rPT/xj+YQZem45ZtC420o3VXrKzf31p987Z4K1e89ou+tGI4IL7rvl +5Ef2Hhl8Mv/gXUbnzwgKnZycGfTNtMixBcGBz7TItQVBDyd3CoOxTg41881N +W+REMx6KWuRGcfDquz36Pda8/7pe1C7RO1EZvBbCX9/XvceXhyaDPiH87LsT +N1rWIyXlO0xr896P09LS/rPKcw/dc+N6KT9xozennfa3jLRffEjZRbe+lxV6 +WN77suJRbZW+bvtywO3LuySDB0P4p6Xpn3/qr/T18o8dX90rnRZ49z0f3fv0 +jkpfn582e/Rtj2RkXpinjwMqC353cUFlIlf/W35snL/WHc/cpg3u2z/v6Bn2 ++qrQjqzvEXq7sb4/6O3E+t6gtwvXyf1FbwduCPXVxlDONoo/GH7t9EddLvpw +9crg9+O3/WBsMx1t2mNomx9LyoQPv/TlA8tTd68OpndNHzauXM8l8Gs/ctEN +3Ze+USL1EeePuH/E+SPuH/MGX0G/n22wtmftb1npp86ddzXOHHjc8IGl005Z +tSyYEbZbftoHez38VrHAl2y06Nzevy+Xft57f4+//X2/FVK+Z3Hd/p0nrpBy +9tujHtqhHtoBT8DbyJ+PnPBAmxKRU1vfWXHU82VNMq/F+Q+fu1Xfpsi8ACOO +H99HPtpxHD76LfrxvG1u/epeqb9wi0Uf3/X4yzJ+4AnlvUcPfKN99+URvGHc +lYfsVDbynJWRewQoxzzRH9Yd/U2tGtnj83GlUh7s/fg5H5xbJuPEuJECT4jL +R5w+4vIRp4+4fMTpYx74Du4ZYNz4ruAxjMNg/IJOkI97FCjHPkA57kVg/Gt7 +tz991oEah4C4hN6FLw0adlJJ8NDLJ17Y++0SqYd2yEc9xEEjLtrr1fqeqY/r +0/dJfXyYvg/o4/L0PcAbnJ1H3xv1cXD63p+P79L3/fAdfBdxwPCjI04XfoPD +nX1B31NFinzwLYwXKeaBuGLEFyCOFnE94HP2/cNqmTfikBGXjLhb2IPAF+37 +iDWCJ8QtIz4BcbqIGwIfBf6QAq+Ic0b8AuJ6oQeD79r3FRtkHRAXjThpxAEj +Lhh8Gnwb64R1Qxw14h8QN4w4JrzPOMzFCZSF66LvNuJ9xkdcP1XhOUzfbcT7 +jB6P1aH/T99t9PgAntIhXvTdRrzP6PFQF66vvtuI9xl9PAjoUd9txPuMHs/Z +cH303UbMA/PCPJFv5ajGjYF+JQ44jN/w89f3Gf189X1G7+/U9x/9fPR9Rk9/ +/D6j4hV4Rj7i1kDviAv2erfiH3jHOiAfcW6gd8QJ++np+mBdsE7IR1wc6B1x +w4jXwDph3bCOyEccHegdccSI38A6Yl2xzshH3B3i8BBXjHgOrDPWHXSAfMTp +gd4RZ4z4Dk8P+v6m5ye6vh6fur4eP/r+pp+vrq8ff/T9TdAN4nonhP5SHxef +DOPkNUU+vgs6Q9wv/Ks+bjYVxtFqinyME3SJuGD4Y3u5+JZ0eL9JU+RjXqDj +TcO4YcTl+Lja+jDOtk5S5AMPoHvEFcPf6+/dZMK4W02R3yGMM+b3N7FuiDNG +3DHsHh5P+r4m1hVxw4gjBn6xzogTRtww8Id1R1ww4oSBH9AB4oARF4z5gy4Q +94s4YNyzx7173JvHPXrci8c9edw7xz106AkPzA0KHtp2YLCj809Wih529doN +nth5vYTUG+L8kVVSntnnwq07nZcUvexE539MSfkTZ77z8Y1vpqR9ntMz01K+ +udPL0sFXYfn1zl9bJ3pRv9cOzh3Wrl7af+v8sxnxOx0+9t4rF3fPSPvnnD82 +K/3nr5hS/83EbDAzLP8qZ8Sl2y17R/rHvNH/pZvc8Whl5ykCf7PjVb16Xpgr +8zt+6BNLdrhviZSfsWfnVy49f5nAiFOFngY9Fe0Rp8rxq4hrtee8EdLveg+c +ccRFh42m89xMKc9fmHvTCVNnkZ1sgZTvdEPD8PyKPCk/L/Q3oHzkj5v83GF9 +jR9Avf7PXtKl8OlPZfwYB9phHBLfcet9nV59aVpkXIAxLtR/fO516SvvmCfr +h3GiPsaJ+pV/Oe29f55VEBm3PS+qnW6fZdNv23xyhZSLXQ7zc/RVJd+Hnxvl +Rzv6qpb2YpcLy3MdfdUIfsQuF5Zf7vZPHY1P7XR1bv80SHvY5VDu90+jlO+T +O+iJ21/qEXz/zjmvrlnzfHBa5tehnTq9KP5M1Nt12YXf/nzzWPnuFY/n52y9 +IkfgQVutaTvol3zd/xf3PnS314sifuJH3b17vXfOfuO27h6+vj/AfuSP3L38 +lN4nD/3K9jyalncCHgv9zCif5t4J0Hvr8Dtjf/v3DvT9gY9CPzT4Q23o58T3 +EV8N/AJPwJtH4xwpZ7whXgrljEdv118q5cAryvGd7Nv7LHx0/0rJ7znljus/ +6lYl5dtXjFkze7zS3RBnr1A6O+HgM3fc8hylq7wLXhtyxBsNQsc33rvihMtL +GoNn3P3tpuBad3+7KXjUybEmiU8HHYGuQEegK7RDP2iHfrZx7ymsDI4b3vKe +wsrAbZ/fVwSdnH1S81EP9/EvDk6tDZrzUQ/tcI8e9+phZwA9II6Pz9fg68jH +Owa4d4172Lh3jXvYuHeNe9i4d4172Lh3jXvYuHeNe9jAP/gM+DnizrAe4DMc +h4b24DMcl4b1Bp/hODW0B59BHAji1tAefAbtEceGcvAZjmvrvMmPGxX+qvY4 +vCPD8SVFp88tmd63PDje0WVC+u3n4nw0rmiho9Ok4MXH+Whc0fWOblVfmOXi +fDTe6mu3b2qlvLOTp2mZ97NuH6m+UOXimOqlfFu3rzIyvgdcHFNG+oddEO03 +d3FM+k6P9VOpnuT5lsoV6OfAz5aObyVJPqueNNDxLZUrpaF+jfZHOr6scuX2 +UH9Ge8+XVa5AP0b7yxxfVrkCfRh6EfQkvufSfdLJFxx/+fLggG5tz8p8s0xS +yXd4WBb6b5YFJQM+XdL/9qHBq522G3DyRZ9JinzYgx8ZMPmaYy9szv/rJTed +vmZasP79uz/a44np4heFn9S/DzUvOOeCIze+4O/zxS8KP6nXcwuCc53eq35R ++En9eJvP6268q4NxP83o9PN1k4LSQ1+67NCGyZJKfvj99CPjv2+5lzN0+Jv9 +Wu7hQG54++DcYJKzD+ZKinyM7yQXP5Eb+u31fVn//tXi4Df3/tUSSZGP8Xt/ +75Kg1sVv6PuzeB92hBsXfk92ZvidWaF+syDInd/+uPsewe/XFAa7OLtEYchv +o7+fgnz03+umsz5dMGZ4sDb0c7WcClv8Xvgu6uH7l7l4kxlBr9APNjP0i2Fc +qHdXOL5vXPzJfPGTbRL6zTBuzKMkHL+PGygMttzZ+9GGh341zAvz/MS9N1IZ +vjei9756ufOjpshHPbTz9gp97xb38u3vG1VIvQmJ7zsmrhwfvD7qsF1G54+V +eO1ZHfcvuvmq8ZIiH/XQDnEqiFt5dtupzXQ4Kth6+9ea6XJ0MHz4yvnbnfml +vE+5/wYDE+sXzg5ev/Ok5Xduru/e+riQ2ZIiH/XQDnEriGPZ3OF9VlDg1iEn +jAvS3/Pp5uziC4MSZyfXd3B9vYWSyu/XhvXQDnEsiGu59IvBzXSeF+zWYZtm +us8P8nbcr2mLnfR3gkrf/K5Z7i8N3jg7p1kP0Hdx/fprinypF7ZDXAviXApc +XFFhcJR7z6AomO3scfp7Qr+XtbyzsyIY797d0Xdyc1w9TZEv9cJ2iHNB3It/ +X6o4fF+qOIzL0N8nAh8SvhTaI7x9cXVoh8LvsGXD932a6dOd2zVFPujY37Oq +DN/RWxaUuneolkoq+SHe/L5ZGto/ykL7R1lwqYtn0d/becHpTVXBZU6P0hT5 +3q6kv7/j30lJhe8kVEuKfG8nhN2wOrwPlg71ME2R7+1G+jt4/j5YXXgfTFPk +ezsR7IJ1ob2kIbSXaIp8j2/9/R5/Hywb6nmaIt/fR8b9+2ywi7v/Vh6+91Mh +KfJ9HKT+LhzsSrAz+XtqiVC/1BT53t6HdxoS4Xiqw/Foinzfv/6OnL+nVhOs +cfY8TZH/oNPj9fcD/D212uBZt76aIn8zZ+eqDe13teH7OPWh3atBUuR/4Oxe ++vtzD7j1bQztYJoi378L0Bje72kMdnX9JYO0669KUuR7u6S+d4/Uxz8kg+Gu +/1R431BT5Hv60t8d6hum3m6eCukqHdKZpsj39IbfUdLU283T4TtcdSHdaYp8 +T3/6u0MTwtSve31wvVvfTNDera+myPf3JnFvNSNpytFBRvgI+Ip/hygbvkuk +KfL9/cZsSB+aIt/fh42+z+3t7NngUsf3yoM1jg+WB9c7vVB/5wipv99aLu82 +4B0Hj9dE0NaNKxHyNf29I6Qe79gvyXC/wD6uv1c5Lkz9/JPhfqkJ90tNuF/0 +9yzPClOPV9jBa8N3lmrDeervHZWEqccL9kt9uF/qQ7uw/t4RUv8OSn2wg6Pj +xiDh6DoT9HN02xisdXSckfQ6R+cZwR/wCjwD78Ar6gFfwCPwCjwDj/Z3RhSP +wCvwDDwCr8Ab8Ai8As/AI/AKvAGPwCvwDDwCr8AX8Ai8As/AI+oBX8Aj8Ao8 +A4+oh3sjK8J7JNCzTnZx1WOCj49bkb7o6HHBDsduuGSvIWMkRT70JK+n54R6 +zeygi9NzciRFPvScju78kh90de/MLQw+DPKbzzn5kiIfeorXz4uCy906FwXf +uXXXFPnQM/x5rDh4yMmjFcGOTh4VS4p87yeqDP1GlXJvA/Ev0EOhlwIvwBP0 +RuiRwAPwAj0Peh/mDTxAL4Oehnli3tCjoFdhXpjnILcO08J1mRLs4r43L7jE +fS83ONL1XxD0d3hVuz3s/DZecoLYBWD3t+f9OdIefgAbd7oo4hew5/mlcr7m +e2p8Dw33zGB3wD0ylOOeGMpxDwz3ulAPdkbMC/e65P5aaHeUeJHwXhfKYYdE +e9zrwndhl0R73OtCe9gpZxh7j9qhYLeUeJ3wXhfKYceEvQj9wC+BdvA7oB78 +CihnvwHsWrCP4F4hv8sL+wruEaIc7/Ki/Ovw3iDKh4bv8qIc9wTx7ive5cX3 +cS+Q3+VFOe4B8ru8KMe9P9jB8S4v3rnFu7c4L4AuX91/6ZyWd2X/viqvqKUd +7FYo3/ucPa5oeWf25rAcdiuUf9ntlrqWd2fRHnYrlJ/+xsjHWt6hRTnej0L5 +8vE/bNnyLi3KYbcSf1LJqQNb3qlFed/QboXyn3576ciWd2u7huWIKwPeYWeG +3dmf5/T3dmDngD0DdgzYK2CngN0CdgjYJUBPiFsE3eLeaoetd8juV7IquP/O +O4ae1jlB9r+ElG/cZ8yJt36g9kH4nQ8Ly98b+8vC3knFO/zOKG+/8owbvmxf +S/a/tJRPX/vq10sfUPsg3tXE9y/ad8WzP07PEL/LiF0Pdj7Y7WDHO+bafZzd +bsjVFzo7npdb80M5Ni/o4uivIPja0V+BnHNx7sU7i3i/BO8qevkyS95R9N/L +k3cT8R7JcOfHL5b7Z3jX0dcvlncUERft30XQ38/w53OdX0347gruXeFc29bp +H1XhOFNBf6df4PdU08Hh7rygvx/r/fWI22oI7UUZOTd6fSkr50Iff14uv/Pm +9Sz9/XWvR+nvr5/g9CT9/XWvB+nvr1/v5DjiShqDr905p1HkPOS+v7+iv/dU +6+wYq4PnnV2jTFLkP+zut+jv+fj3U5cHbZ1dTlPke/uZ/u4GUuS3nMa6vjsk +aDmN5YweLinyO27x9nafHvx5SA/DJEV+NnPv8OU7TA8ey54xe6PmfYsU+f7+ +1cxwvNMlRf4sZ6ecH7zo7JaaIr+/s1/q720hRb6PoywI8VMoKfJ9fKP+PhdS +5Eu8J/lZ2a8KPyr4O/ymNeY99Toph18U9yjxzin89XjXFP54vGN6buhvx7ul +2FfYZ+Bv7NdhPw78NtAT2E8Dvwzqww+DcvhdOob8aY8pFXVVP1QKv/qy/ODH +NzktKfBpG9y3VfveKYELD5o68OKl6aB9CHe9YMOjHthD+d3391w49/1bMiIH +IBdg91rk7tWVyXhwDxvjxT1slOMeNsr5HjbeGcM7YOJvwvzpnQa8w4B6/M4C +v6OAd83+1d+RABz3OxKA8W4Fv1MBGO9S8DsUgMFX7Xsm+k57XD7kC/QbvFth +y8foffbwnQpbniPleJfC3mfLl3K8Q2HbF8m9MegTGJe8O073yPCOG8pxrwzl +8A+hHPfM0D/8Pyjndwowb3kPJny3wJbnSDneMXjZjE/fEcG7BrZ9Ucx7+1Ol +Ht6dseuXq3Fh4Tsz9j5FgbTHuzL2PRi9P4B3ZOBX7k1+Vnxni9Cvyn7Ul8lv +2pv8pC+TXxTlyOc4OI574zg3xLUh7uTaMI4NMOLW8B3EqeF+ylu7bHj5VoeN +CXyaI+tcfsDGz7x9er7AvrxI4Ml7Pd/QeVKxwLa/HGqfQ+1zqH2OtEc71C8N +6Qb1AdvvFVF/RVKOfN9vqehjgPE7phv85YWdVrXcAw9hlCP+GOWA/Xf1XU7U +R7wx6gNGfcCD+83ZZ9R9+o4n2uN3T9EeMNoDRnvAfp41AqM/xB+jP8DoDzD6 +A4z+AC/8+MwJ3/5aKzD6x++son/A6B8w+geM/gGjf8C+/waCS8U+hO8BxvcA +43uA8T3A+B5gfA/wmiG55x/3UiP1nxO8s8WMXX/cRvfHe20eXZ34brTQ6wff +Hf1x/srRQo8DaptuHj9ttLTj/fF238RxG+yt+8PX0/3xXq8Pf8msnyPf4Xa8 +XyoGJLv2Pkb3S2KXWWc8dVC+jIu/w+14P729/JvcTQ8sknnwuPg73A7w+t3f ++6x8ue67N6/ZMbX90brP2j19/UPHP6H7aOKnQza7Llf3xbkL1vR7Zmul69LG +EzoMvlLp8K7tnp2Z97HSyfrHLbykqb5JYMkPx7H9lFf2fKOj7vvmzC/HP6L7 +vBm5fy3J0X284KDbl/3WVvflNReMvnX/y3RfNd7z849nD9B90PPt01/ulm4S +mOeNfIzjwJMvrD3yQeUrk25659ErZijfOK9XxRaPb6p8oGz4wR8N7Kz7uPuS +e4+Y+4Huuw2+mzK7LtkkMOOZ5416GMfxM7ccu2yq8qm86svP/GlD5TvXbjZw +xZ4XKd/IHlZ3x1/f1X3+7CVHrr21sklgXlfGM88b7TCO809f/MSD6ymfW33b +ztv0O0/51N2v3DhoxpvKVzYcPezo6rImgZmOeF0Zzzxv9INxXJ/72jm7nK18 +cU39ipJOrysfe37rfe+6aVWTwEy3TEe8roxnnjf6xTjuOfdvzaSkfHNjR+dN +AvM+YbplOuJ1ZTzzvPEdjKPXwq3LrylqEj7K+5L3CdMt0xGvK+MZ398onDe+ +i3HA7sP8wP7ucELyYQez9VKkR6QFxn0KwLg/AXhC6A/l7/9Z3wUfhr6LFPkY +B9YFKfKhJ+IcgpT1R8SxIWV5NyHU15Gy/IK+jhT5wAvoBCnygSfQDVLkA2+g +I6TIBx5BV0iRb/HaICnygWfQHVLGP/Bm9dmpAgMvgIGHf7cdYOAJ6wq8AI/A +A/CGeQNPmCfwYum5IRzPiAg9YNz2PMD0kyP2IaYXS0dFEfpCPdiTmJ6Y3pAP +exPrO7A7IUU+8AX8AV+AgS/AwBdg4Iv3V9y6/KffgR2Z+Q3y7X7uK3ifEPoj +gUf4H4En+BtBN/DbgG7gpwHd4L4e6AZ+GMA5PTco63i+wl87eaLwjkff+fvz +++m+TOe/3awJ1wndwW8DeNk5y49Z+a7CGzh5oPBBEw/NO+h23cc/vXHb1fse +mpH9ivhkwDVbDenzVLXu5x2/vvKep3fX8hNPbHhrwRcKb3HlCePmP5gV/Np9 +oXTOdMt06c+F5SQHEiQHkiQHakgOqN6B+z+A8a6l6CVunFF9+f9qHPAXWjmm +eizozMrNNI2zjsbZQOOMyuM/67tWXo4QerB8sEjo44/SEfAIvmD5cV+SxxOk +Hfb70ppnmjUn/d6vbp/o984YPnLW9Gv1e1fte+jF5/XS7/06/6gvttlR8Xig +O3co3Kfx8eCY6xWvk9y5QOF9t8stvGqInhvOc3q74n3ssVvf/OQapbMyp1fr +Opx5zZXfDzpB16G703sVXvHUxy/O66nr0sbppQrf8Wn9bpl8pcu+7tym9GLt +BqW0fmp3Arxuu1kOyXM9P7Ndiu1QbGdiuxHbfdhOw3YstkuxXYntQGynac2O +An4IfMTZ4djuxnY1tpOxnYvtUoCPXvnuX9b7TuXvde7cFd0fbX5re2annS4Q +eFALOm5/Q2BvR/lY4J7P3Xt/8SFvyvq/0nwau62/2oemnbvF+n95QeVpou+A +A+/fVfWWUW8M/8eowyfKPnqt09LNOz+jdpmDj9j08z2uVvk75bLOp5z2ieox ++9y0R/8H8uYEvbtc9+wTk1WfSva6qv66X4cLvLxZqv40S7+7cbPU/WrEDIHH +PH/L4R9sP0/6veDRDwpuycwX2PId/K0h/BXF6KkjBJ7TYZ9j3+71OempMwX+ +uf/n7xx31syI3mjPKQsE/mvHwooFdy4gfbIoojeiPuQr4LMSj+4w8uzCyDh5 +XPxd7gf3NCzfVzmJ35GxclHpGe+sWLmo9Ix3UISfuQGrvIZctnqjnpegRwKG +HgkYeqTV67JUvyZyPgCM9oDRHjD64XPHHelfhn1dlBI9gc8bgO05qiZ2Xr+0 +bN89auW7fK557ItFG7y/t/4eD59nAMfh6dWOry0+8Zb6WDxsWbTTO1/drucm +Pke90uOj607tVk96T0PsOux92YobbxiZicXzR9/fcHDV6Ews3vZ6r8Vwq+c2 +Psf1P+HeielJ8es+9pF9vn32h2zsuh61+7ApG/+SjV2nMdOO6PnSb9lYPB9x +/ZRmDqn2Gz5Xjv79r9v22agpyF1b+VW7k5W+s85upfCKnDE7L3pJ6X09Z0dS +uO7FFkat9oHtH3rstZcPUXr++aLL83ffX+nvwJ9PuuqwuxXefMeD282+W+nl +xCfW7r9knMJ7lP705J3T9FxxQZuvmoeoMPjEYy1m866fCPzNKVOfXtlluMAF +LWbzn/Vcv8WcwUWv95gh8Ki2L1742b7zBL7ou4fGXF0+X+Bf3Tz03H+Bs1cW +/p99F7DYd5x8vVZgL18/Du75rUVhvEz4/QBnCP1Y9aqYdoC9/FM/pZd/UwQe +4+i4huhD+cYZA+54fuipagd+06W674sdfek+befs5Lpvbnd8TO2ok50dW/fR +nOCbC/5yRh3Rn/KNy28+qeJvr6rd9zOX6j6vdfSrdtkTnF08yl/3cfxC4bud +PTcVLN+oZUEbiL6VT9x26JYn/LBK7bxTXBrlt3F4xDiOdPxA99Uzzn6bDmrc +uV3txie5/RPlt3HrgP7i8Ihxnu7kueqtbzk/VOvr2No6oL84PGIeXYZc0P2y +t1RPHnLl2GYNr3U6aW2dW1snfC8Oz+BDt9611/y1lSp3ppb2uPaC0Wqf9HrQ +UoH7OHml+lO58z9o+UFu/ssi7VY6PCmMczX4dZ7zuyj/HjT2ovfLhleSHUvP +P9c6fV3tZF6fr4rY0/g7g51/q/Xvcj2MG/YuwMu77HZfdqzqo/efvPmKT+7R +8o27XnrH/MlLBL79kb9vuP2viyL9xNWz9ly1c692fqEkyeUqoiOFYacAHTU5 +P47Cc90+Ujjf+bkUhl0DdLa+87soXOzWV2FPFwqznW8nsuPVhHa8ODvgN2QH +ZDvfwWTH+zG048XZATckOyDb+U4iO17b0I4XZwfcieyAOEf8q/vG2gH6Kvzk +QSNSr94k8MxmrN+28+sCD2s5HnX8WOCbm7+aePQtopsJAvdqcdctV7tDTos6 +dpGW17QMOzFF4OEty3zbRNq3cwR+JeefB1/bR+0WhzaPdtsLtHzakpYDnvoh +9kq3KBpzIvP8o/P4o+OMG4c9z6UichLwmU4OKYz9wHIN8BVObigM+mc5BPh2 +x8e1HPQNeh8ayg3AD68p7zvgwAz5pbIRPg745QmjMmf2yNL5QuOienVrEUTs +l1G7hbdrfBKJ+wLs7YNTqVztFhz3hHMZxzHxuQowxynhHASY44xwTuH++VzG +cU58juI4JT7nxMVJ4ZwFmOOccA7icj4HcbwAfq8Q8O1Ofqsf+y0XB6Tlkxwd +KPyKowOF8bsUYmdwdlKFvR1VYW83VXils5smyO6QpPIktVfY21kVvtPZWRX2 ++yBF5Slqr7C3y6odZa2zO9cQ/mqpvJbaK3yAs1Mr/JqzUyuM33u05fXUXuEJ +zq6t8D7Orq0wfi/SlmeovcLnODu42oHGODs4/M9qX/f2cl2nca6elu/nvqOw +t78rjN/ztHShsKebJPVfRd/Xcvz+p6ULhT3dpKj/FH1fYfxeqKULhT3dpKn/ +NH1fYU93ak/2dKHr5Ommnvqvo+8rjN8jtXShsKebDPWfoe8rjN8zBezjqBT2 +/hKFvX9FYR/3FfV3eb6t685+Gx+vFu/Hed19R2Evh6toHBx/Fu/38XSpsKfr +aponx5PF+4k8XWo53v8FzH4kHx+m5exX8nSpMN4DBsx+Jx/vFe+H8nSpMN4H +Bsx+Kh+/Fe+38nSpMN4LBsx+rd+PbWkf7+fydJkl/DURfrOEfy1f7eav8NkO +P03BKjcvzb/bzUth+Iv8+g8W2PtHNO7I+0O03MexahyK92sMEf8FfvcI8IrF +P1ya/EzjlO6b3f6fI5/U8g1rH3hh6bwZAt/57ak1mzR9JXqSf/djnsBjnb1S +YR9vqvD5zi44X+C17tyifha/fzTuyZm99lDYx2cqfL6LV9Q4lv2cnlQQjHHj +UH+ETyuIThJERwla92qiC4U9/9J94/mbwl6Oqdz0ckxhL7eUn3q5pnR7hqMT +pcsSR0eNRB85RB85ET/Y9JPnzd3hH1peRX6xkf2bmk9wQ2Q9QB+A2W92/8T0 +pPe6ajn70W5vPuXu1Xa6rAfoQ+yQ5GfbwNFXvN/tl517P9z+eKUXjhdY4gjk +c9LvNX5grWs/M+J3g5+N/Wj2XKrn12J3nlb68XKC+TzzaaUHz2d1/T2fZD6n +69vN0Wc0HoX9bBhX/Zk9qrovifq/bNxUDcVN1QoMfxBg+Gc4fpv9esCDjd/S +cWBc/vyjdlmMBzDfY7B6RHUEz3HzfPzOafe/uYt+h/2AGIc/D6mdFvjgexMc +v81+S6xzHJ636rPRJpNuYr9hDZ3LcH5SfwvWAzDf47D6c22EzuLWeaCz97Gf +sZbOcbVBB3ce0/M46IHvjfB5jf22oPM4OjvS2THVLsZ+SYzj1ANe+WTsRWq3 +tfFa8X5i7Ks4up7j/GraL/sl8V18D/YutOc4I8QBoR63u7yZ+17dT+vH+fVA +r3F+PdBPnF8P6xnn1wN+4/x6mH+cX6/jx/krt91M53Vjs9TZ7tSmSPxvXL0r +HZ503z7t4uAVhl/c+kGUX8CPbf0UCsPPjHlPcqnCH4Z+XxvvrPCo0O+KeVe6 +VGEbNzomvE+kepmXw1pu48xyQj1N9S4vFycKDHse5NxkZ9fQePF93bpouY1L +LQr1tiUCe71Ny7d2fEn59vHuHorCrdn5W7PTtmZ3bc2Oyn48r+cpPbCf7Tp3 +T0Ttj+wHu8fd21CY/VTPuXsUCrOf6B1nZ8oSv8kP2I6YdhdIhguel5GdcNOC +hq2G9JkheG5tH3j5qfHQ27n7UjUk75S/f+r8OLUkf5TfHuvWuZ7kgcZPz3f+ +IeVvcXFjsB9bvpUivqYw7Md2nmnCg8KwH9t51xNetBz2Y4uHDOFJYdiPLf1n +CW/ReHX2y7W2j1rz2zEeP3brofqN99f9+3g+yn2vhsbz76/DXPe9OhrPv79O +V7jvNdB4/v11rHPfa6TxtL7OVr9VfdufXxU+0Pnd9F7Bz+78qjB+t1TOgY5P +a7mXn2WRewdxcZX2nNd6HCVgvrcQFzdp4y713oqvr/Kqj7Oj670Uf49A5Y+3 +I+i9E29HUHkDOej1oX6xctLHrXwg38XvqsfJSX9enCTj8GiaGysn/f28uTKu +ia7B4lg5OdXhYbHIHdj3rN9GYW+fiPdL7+vkmt4XgX0P8EDnh1HY3/+sjvVT +e79Mtcg12PcAj3Z+F9UH/f3NeL/1GU5u6n0V2PfsfUuFL3NyVO+jWPsd7kMq +fJuTqw2iD8I+B7inu6+o8CNHrdn308Oysn4cv/8cxU0Nf6tFEXtdYI6jenRc +CwG9KevL8f8cR+XtJ1peRXFV3n4yUfZ3nN3p/1qO///d7sV+uz/ql/ujfrc/ +6lf7o36zP+oXi/N7sX2I/WB/1M/1R/1Yf9RP9Uf9UH/Uz/RH/UhxfqL/jh7Q +uh9A5uX+Rokc9PH1s0TOeb6XR+c9tXv7co2rgR2M7VBsB2I7DNtFAHs5p+dv +Hy+g5+1RTs7o+Xqmi2dSe5G3U+r5GXYQ8HnWm2ycynLBi59nTzonjyP78Gzy +JyyMxBGg3N4rKwoWtpjjLvo8Ymfmemxnxnpg3LCrAV+wawGGnQkw7ERcH/hF +fcCoz+XAP8oZxnrYex7LJOW4RhvfrDDrQazHsB7CegTrCawHAK/PUhxOfYv6 +8+pwOefg+zin2HsPGp+CcwLPn+M0N3BxfktpX/UN4687CR16ff0Nga3foLjV +c1xr57LWzlmtnZtaOwd5vUz32xnOztn6uYXlTVw/rd0ja+2eWGv3wIDvfZ29 +WunS67d6b93bfRQ+0+m3yymeK0fit+x+1/MM1pnpwM/rmVi68Oe4Z2PthD6O +rJ+Mg+2C/p7p5Fg74J1On9bzDNv9xrrz0hLpj895Hq/jYs99/pyo/JXPgT6d +HXsuXOn4vvJjPif67y+MPTf67y9U/JOc9P2pv9vP/8vYfMCYH8tZ72/Wdxi8 +3XFWbD5gzPfYQbdeeemZKqfPdPtB32Xw71blxeYDZrkC+GwXl6nwPS5uszA2 +n/fLnS7uUveDf6cqPl/is//DuLvW4uxai5trLQ6utbi21uLUWos7s/pwfFxZ +a3FircV9tRbH1VpcVmtxVnFxU63FsbRm52jNbtGaHYLtCmw3YLsA9p3lBzmh +v3+U7CPsb8BnuX03S/YF9GprB8vT9eJ7pqFfHnppa3LGxnP/q3E6YyJxOnFx +OIA5DicuzgYwx9nExdFY+Vcl50XAfA/D96P+SZwX4+5deL+NvpeC82LcPQuP +5zTdi1C6edb5cdQeZc+HDSGf1fdOcB4EPHTHQet/drPug7g4LeB9Gb0T4f07 +Xwqe+d0Ir0fpuYHfkfD6QZ7EJbL/gfN3cHpdpaTIb00vai2OrLW4sNbivFqL +2wK98L0ef+9A6Yfv7fh7BkovfC/H3ytQ+njE3RtQf7a/F6DrP+Dxnmc1ztD1 +9vRXKuPx9Kv2Wl+u9lZPfzXSztpJdF+gnT2fKD8E3j3eRknK+spZDj+zJGX9 +w+tneZIi3/qbKmUd1h7bZ7MgT8+t9155/iWnXd6sDwwrKzq6g+6rx9v371/c +Q/nxa19ed/vDk5kfVwXb1197QufrFV/Tz3zvqhc/UXx1+3jpIzNqa4J7u+13 +5Y6D/4dcHbjfnqOG6HznTH+yz7jbdX5/P6zbNm88ofPBuDBOjAvjxLgwzr3D +cWGcueG4MM7u4bg4vgbjHP3l2LVb7ar7C3gDHoE34BHzsPPKkXlhHpgX+u19 ++t0FbZu/8/8B8Pmnhg== + "], {{ + {RGBColor[ + 0.10372206117797761`, 0.10436141743811188`, + 0.10500994850363238`], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFUztIHFEUve5mZ3Vndjc7kZmRVKKClZ2FxiAxdSCYFMHCQns1oIIfhLAB +LbRL0gQ0hZCkU9ZUaqqQdIpkURsFi23dqESw0nM4Dyze3PvePe+c+3nTOjI+ +OJYys0GsNNY3fP7j4DnWcGC26Gu/E5r1Fs0OsZ8qmZXzZm8yZr9w9ikUtgN7 +D/Gv4BjF/jRr9h1+I84KmXtucpJ/FpgZLC9Q/MUDxV86LDHkmMG6ducnWcW+ +eNLnnUrO7EeD2V+TNnG8u428+pDfsS/N1ZzOeZ961GJ+p45/CHU9Af4I2I+J +2TL267DtsXTbYNfAsYT4Xkq6f3xp12PVfh4rTg5y5gtmQUH3bmEN/DuIHSC3 +3/C7kMcAelkO1Ye38Feg2wzMXKI+zsNmfdXF+poRf1yUdiNij2CzsK+xavBf +JdJm35jnDbB+QfVXU+JgH9gX1k/sWEna1OVMai5GDPOivwt/CxzvUO9mJP4N +2DL425B/P3BniC8A15nWbA7d+6m6N8UZMSfGq/CTSLNsiTTPINC9p0XNj/ox +YmvARJH02UveJR9rIucz5L4b6j7PKu68KVFNOdi9WPntw04AP11S7/gWyE9d +1rbl+Dtcv5k7Z/U51Lwa4Ncfqh8/Q83Pc7WzLta35OZPfxPa3cB9gO0p6l9i +X2qu112ubp4xh3+x5n3h3hs5mM9kSXUSexnrv7qCfZ/XP8n+kW/WcXru/+Ls +7gBxxIoP + "]], PolygonBox[CompressedData[" +1:eJwtkrtPFGEUxc+uuivMsIO7684YK1AqEqgoRIl/AcEgBVpYaI8JMSQ+QkKW +BApKtCERK3w0aISEQqxM7CA0YqOJhS0IRhM7fifX4s7c+93HOd89X8/d++NT +ZUmD2GnssJsPttEpbSdS45zUzqTrqbRZkvob0iznP8jv5NIM+fkuafIMtZwf +cFbh30c83ZRaLWm1ItWId+hNalKJ+vf0P8fWqH95KnoO8Xfz/7MhtU7vAVxK +WXCZA3+Z/Bv6l8B9WlBD/l8Wsxao2cffq0sD4D1KY4ZnPaxK7/DftsL/ju3C +5wLxC/iNcvnz+Cv0TjG7mcSMNlgPiNM07jgO5mv4/iQ/UUSPe33HHL8Xfq/I +f2P+ZfxLefg36E2asQPv4iz9x+S2wbsC5y9JYGxht8HbJ17ErpK7Rfy3HGe/ +GsHL/DqK2GWT/OckdmoMY1Vdy/xlaobAGGPvFfyLWWhqLd3jHXgX98B9XIT2 +XdSudsYbGKZ+kvo/5eB4jfgj8yrUfyW+WcQuzMnclIVm1upDEtxHsqj1HZ4U +geUdepee/Yn8nTQw0lrswHc3h2f10NjauqZdD42trTkc5XFXvyG/pWoR79Ba +9bCL33ns2ppYG585Z80L9DoBOsFlPA== + "]], + PolygonBox[{{6150, 3663, 3440, 2835, 6152}, {6154, 2836, + 4493, 3498, 6036}}]}]}, + {RGBColor[0.16675207, 0.1782183925, 0.1898492575], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJw1lk1slFUUhi9MO9N2Zph0KPN9/JkgBRe40I2iJiq/7QYxKBYTBW1wAQsx +mBRMSzVEDcgKWnUBMUQjGzVq2yAUQtWQyIpGE0kVI5YY40pRNBJE4/vwHhc3 +9879zj0/73nPObOod8eGZ2emlK5rFbSKbSmVtL7Wj8ullAa0rkmg1pzS+qaU +/tL5uTylG+WUdmg/o7tUSWlEe3+z73t1PiUdme5XtaS0usU6OXe32Qb6+c25 +KJ1TIXdB9z1azbr/fkZKF6WvJD0f6O5x6a9W7AfvmuPtUd2tqNiXbslsLMq+ +zos6rK+U+/vKkCnr/pjuF2cpbdL7npm2tVb250lmjfaG9rxin7aEfmL/sJHS +bmEyqbd7m21vSLq6JDe/Yh17pL9L9wPaB7Wv0zosmXMF3w9FfMSJ/3P17nSb +7X5el82qY96v2L8tG/8RxXC3vr2RO/5vyvanqN91nYe1H6il9FrNvk40OVby +8pTu7qo7nnHZmdS7ktaofi+tO+be9pSWzfL3XYqvj5wn4wAG5Gpc60fZ2ii/ +pyRzpGBdVd39pPVQk2MkPjDt19ufy85dT+7zY9qHM+PVpnNVq6H7ivYLel/R +eVLyrbntXJlt+8RILv/OLHNd+ye6P97iHILr3sD2eeE3rHgyyW1r8nfy+7ve +/KD9vHQub03pZItjfViBPiP5GfJ3q/b1NXOat9ub/AZuw2tyBgfBnzxsrbhO +iBF88RN/ByqOnzy+VHZsvF+QGbuFmfVfLNm/Sfk0LTsfiV+zcvtey633ctTg +WMP1OKr9kPz/rmQeg/u0zu8XXHc360ryb+r9kOJ5N7edbRHLbt29UnU97dN5 +S8212tVmGbBCN2+Qn5av/+rb5cy5wd4a6W8J7sHB2zL7sDRzrYMBNX4jMz/+ +0b55trHolvyOducpC+7wFr30ATDnLf50R68oxpm6mRBnV9TcG94pOg5yAUbg +AyeHWs1XOFSKngMucJZahP+3zzLv4fyY3o9qvVdw3aELPdjril4ENl3hz8fR +B+gHBclfbbJuav2OqHfW4jbbgmudOl+aYb1Hwgd4iB5yT02sDZ+RXQKOMx0H +Z3R8qtgfqJl/Z6Pnwsn+3DrgEW8Xhy32ztDzhGJ9sOaesln7krrr+0pmHtEX +wYL48ZHe0FtzfyD/U7I3XHBvPRu1gF/4h35qkZqU2TRHuLyl3MxtuBdQl2AI +xhPRl5gpbxedO2TJOzXeHZiD/VDY4y2YgTO40uPx4VTUN7axQz2D06WwNRZc +7at4TtAT13VYT6+wWtCwD/O17+yw779krle4Dh/u0bcRySzXfrDVMWITH0bC +D3L+Zcn4VKMX8h7ZE4HJrZnr6mpmf86Eb/SFC8G9nrBJ/SJLnVOHpegn9IOL +0VOvxezri9lEr4Q7j+SeS2ADficiL+SYHkePAH94B160O/ylf+AP9ohzU/AW +jk7HfKSusDEeZ/JOzHCDmdFadl7RxbxNEeeczPh0ZP49EbE/mnumbIgZfTRi +IVZ66J2hixiRRxbb+IP/+EYMzJb+kO9p9jw4F36eDPnR4B3YMgPobY2GOTIZ +sS+JeuEN9fFkzTXylc5f1KyfXBMzHOvU/YF2z/7Xc9cw8w2OIofMSPwfwi6z +/eW688kcoHfAa7BdE3W0SjKf1T1n7q+55ql38F4bMjsl80K7Zyd+Hanbt1er +7u/0RPSdjv7zR+bc/JnZ13nxX4Wa2xb9dmXNvRV+9UUt4T86xkMPdTMY/S2L +GqfWd7Xbb3yGa/AHvp3PzK9ls40Zem/WZtG962zMxf+5nzfcA/jvRk7G4ht9 +7HBgDh/gGDzZ1+Geu1/7r5m5fizzm9HIdWfUHfU32OHaeFH7ntzzezA3v9CL +zomYBfDhVPQ5+g+1eDDq8VjY+i1zbrYEb59WsPvb/Z/u3objvK9hnMEKzi1s +eG7d0jDv4fRA7hhXx38zdvLHGZuHAk/m6lTM1u0xL8HrP5y6iEc= + "]], PolygonBox[CompressedData[" +1:eJwllElsTWEUx0+19aq97dX3nnsvLYkaE13UxpigFSqSmqsRQ3lqq3ZIByKG +IrFRuhELhAUSbS1MG2KNWjSmhTYiEgmqJEKJ3z9n8SX/c77z/c/8Tc+1bto/ +zsyaOAWcgYzZcMqsJTDrSMxmxWa38s2G0M0Bb0bXiPyhxGwLuJuTBq8rM+sF +L4zMnkLUN95sMXhR5LiRMwL3ZzjysX8FXyV4X7nZ3FKzh8VmefgshqO+yH1M +AJ/mvmqi2SPuJ3Of4U03dwO8nwTOxo5rCs1G4R9Ffof8Ps/sO3gecd3n3Wl8 +PoBjBrrr+W4zE/yccwgckvsz8Hb81SG8xf4XhbmA7ibxnUffQzytnDHu2vC3 +Mmt2GP1J7rchR+ijyH1fJt8Y/IX3iHaPnL6CV/OmU7FSo4asc4irH/sl2E+O +/O0gMSbgqqxzX0U3FbkduR65iXMOvJZzrNB1HeCdxL6bk5BzxBnG579ir5lq +V8vdk7RZKvAcm5FPkcNK4ovR5ZDPIK9CnoJ8FtwfOK4IvFdd5W6rno3Enptq ++g18Ce5W3cM9n5iWRp6bZkKzMS3yXNYjTwH/yLid7MuobWfis3cbvkZwBTZX +sA+xeYHtRc0YPjbS15LEe67eN3C6yL8G+VWB5zxEPNXIg8hH4d+V8dz2hD5L +ylGzVV3ms6EZ28v9htBnsa/Afcr3BN7/iD1mxa6YKsG5jPdSM63Z1oxr1tfw +ppN4TlCvg3CWBt7H5XD3EH8z8mvtAfLLtNegHd0dOIfyfCZ7wbNj372P2AZZ +r4lq8wm5CXw87Rx6q55uTfxOfKrtb94HJV4D1eKGZj7fdX/A/ZqplO+8dv+a +OEPfwQvgqbHv6nN2oQ/benS5At+BA+AFad99/QGaOdnIVpx3I49ZsZdyxhRL +4nuiWmi2VYuz+KsNvCapxGdffEXgv7G/VcyKXbO6K/TZ1sz+jL03+qP0V53h +bjmcdYFzrkm894pZsbcn/nepxm36X7I+O9pJ7abetuDDAud4jLws9F6ph0ey +3lvtnHZvReh/hv6KN9isD32GNDvi0N+zo9zv9AeptjPTvkuq8X+FpLUJ + "]], + PolygonBox[{{6159, 2839, 4500, 3499, 6037}, {6155, 3665, + 3442, 2838, 6157}}]}]}, + {RGBColor[0.21125345, 0.2303639875, 0.2497487625], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFl2mIlVUYx19n5s7cbeY6c1/v+1Y6atFoe1BQtoM2q0paGRpqmy20RxGU +OpVENrYRjm0Y+KGCIFodoayMsuVDOkNFBe0r4afIivb+v/6P9OFwznvuc571 +/yx35gVXL76qKUmSMyclSbP2j9uS5FEdxnV5VCFJluq8XOexliR5TWur1o3V +JNmitUPnuXH+TTRrtK/VOlbv3tJvHxeT5HztL2mfU0qSbyWjO7OM6ZlpeVPU +Wi45T2sVxWeVvr8TzbP6vkLvr9T6Rm+n6M247uvahytJMiC+k6XzzW3mf1Ob +F/K+Fv1U8RnSeVDrg1a9bbY9vEO388S3XPY35z0V64P+xdANHbYXzRP9+7W/ +G3K3683bLdYdftgMn0+K1vlD3R9eN+3v0vlN3e1ssT85Q79ENKvwVYvth/eu +4I/u8ILP5fr9LK1lOo+kSbJQOm7QPlS2j76a5HgQoz7xnyfdmyJGvON9d+LY +7Qia2/R+UHzWaR+v28cHNJLkGcmYXHBM0XdcC4xcGbZ9pN8/b7Nc3izU+706 +XyIeF2rdJj8O5kmyTbyGRTemvbc9SW7vsl/f0/52zX6erfOFNceKGBJL/HxY +s2NJHK/pTJIb9H5/8d2T2Y4LJOdLnafpfLTOReJYtm/RC7/gt8XifZneN4t/ +u+6qZeNhW4sxjc9L3JXNg7jAhzhCO1+rErwH455v+OPzoaBB1kSL3xPT35ts +O3l0k+SfLv07qqYZDxyAu/6I9Yhs+7Tid+tTx/kn2bWyyTQrmpyX+Hmz9jNa +HCfiWK44XnyDo4nIpXsld5Xsnya5r0rHl7VKTc7hV8rOteul12rR7Sce9dw+ +TnPn/mib8+Vm/X6H6JYVHLfNXY7dIdov1fcM8R9vmH639sP1ZrfOW8R/ftGy +S6E/unMeCF/vy4WJ8AnYwQZy4kDxelx5e5D2Z1udL9QTeI+UzB+b8DE8ZwkP +X+i3gzNjHpr/8kX7hjiDA2zHB9fkriN92o8LGSc2jDvwB8721/cW3XdrX1l3 +HenTeXXBOpL7g4EP8DPa7LoANtamxsKPencSvFvNty/k9uf2xzEF43xdwfkI +j3eaHQP884loz4saOxY1mNjtilr0ZLNtxvafM9fjG4P+VukwID63pK6d+AH/ +gZFtgX9wAz1Y+qzimgcO+W0sZLFvi7oBLvFlKlktFWOS2C5IXWd6U9ehsaD/ +tGBMEK+9enuuzktyx+3RwAO1eSBsfyKzbX9pv67JvsAP9aj/X2k/VTEYkz9P +azie5DR6fl9xvaaGbJhinz8l+oW6W1C07HNy052dO4bYSRznBAbAwt7Uev+c +Orce0/0i0c5s+Dwj5IMDekBde6FoXZfofmur7+HxYqvtHw+cg4nZZevZK51P +aZj+ZO0bS44peQ/e0Qf6TSXrD/0JDefB3NT+2Rn1eWbVuQgdtW4oegdyeM/b +s8P2tdo3NRuPYA+5oyVjidrONzqAFXSnzi4IPvhwQD5tpbdm7n0D0et7I+eJ +6ZrUNg9q/6fsHEDmtIZ7yIGpewr5RR/ZHvlE7pATm0K3btk0pWJ78M3G0HNJ ++Jh31MfReEseYAt2TI/ah07r213LqGNgAmxcXLcf0f1q+eQhrYdF83huW7cH +Zl5ouDc9FzUJHuBhom6sPd+wTGSjG7j4q2J8YR92YjM0G0M3/Ive+3TmDj/0 +lF0XsJ28nxu5DIZnRnzxUyV6UDV6FPgnD6px5m55zFTMC/gUvvRZ5hnq3KHy +w7faD8ns3/by/zzao6/Nj77JmZloT9SIZbnPS3PHmFgPR71ZF7kMNsEo+cus +Ra+ln9GjV4btNfH4oeKeRn0aiRr1Z2ZfVlPbDLaJ49eZ8fRNZt2Gwn5mk6GY +T+i11E1idF3uWFybe66kL1PftoRvmYfIA/BAjQJ3J0Wtnhxxxv/UHvQiF3qj +1t2ZGpP9kbPMMd0xd8J7XvAHp2CCeBzZIdx1uncRj57oj8RkVtlx544z+TQ1 +ehC9iLueoKFXkAPg/1LxW1TzzAfN7Hj7unp0b811fQVzSM1zBn7GHuo4vgcD ++H8kZhBq82jUzVrufnFG1HNyAv7om4vmfb3NMuOLM/57Q3Ln1RwDYr0P71Nj +fmOOQ6dizNj4CN3pbX9E/acPMH/QG8gT+ii18PiG8+mKmLHBC/2e2A0XjPXN +UV/AQlX635O6Rq5OncPk8rTMdascmKSPMCuB//Vl43g85kN6OzqQ92BrUfTD +iZjBwMpZMWO/FXMgsyK2fRd4w3/4mX6LvFLwHIy8gJ69HGdsL8ZMix6j4Yc1 +uWsOtYdZqaNiPciR+dEjwBaxJI4X1Txng81a5NlE9KBZEccXqp7nZsTsgI5g +nnkHXyB/b+b6xH+FXzLPnb/yv6bL8z2xpO/viBmFHKBufxQ5TC73ZPY9tQdf +gWHwi213S8+7as4bMEafovauiP9Q/JfqyH3HHNETGCd3unLPsJ25c+uIDvsA +/y0Nvw3n/m95S+7exXxFv75YMo/vct4+r9/m6Pxg7hiDX/wATpjZzo9ezzvq +2gO5c2Q0Zs7DYs7pqzn3wDiz/84u44ZZaTjwyf9g5idmoCR3bCZpn1tz/iC7 +PbcPK7n/Az3S6Rn9EtHc1+n+9k9mDPydmQ76Tdr7M88kfdpnid/9ne4f/wJM +jgoH + "]], PolygonBox[CompressedData[" +1:eJwllU9slFUUxS+dP22Y6QzDTL/vU/uH2kTEBI2RBQgqCZXSqo1ggoIRESzF +GAVdaukghFABQU2oaOKCBcYYF6IUExJ1pdGNVtFEEjH+AY3RlSliUMTfyVm8 +zHnffe/c++49907vpm1rnmyJiCdYedbOLGKkHHE8F/EAeBWrWYqYg21DPeII ++yVzI+6r8A28II043xrxG2faGxF72yOeqUVU4FhfiFiWRHwK8VQx4nbwymrE +J9xvw/49dxbCOTE74hvsD4Mn4XsbjtfgeBX+hfg5xdl9nP2Ac0N82wUegXMQ +PM76lf35WRE7wHvgPoOP8bJ97CemYeJosgbAA/AX2iLq7DeyX8n+s5y/rQIv +Jsa17I8Tz5LEPuTrMj6eBq+Ge5TYpvjWUrav0/hcVLDPj8Er+PZdyTm4Bo5z +xHYUvk7wEewvYF+BbSPrdfbb4bu6ZI4aPq4qOXd9xHc9Mb2Tc45vAG/D/kje +NdkOPqY3wzdM/K+AD8L1KPtOuIf4do47V8jbJBwJuMyZb8Edqhf4Ts4+xJ1L +iOAs3/7gTJ7fM/jrBnexnhWm/p3g09Tol1ZrpMn9//hW0XliuhnbU5lzNUb8 +/cTfw5tXYzvG+3vBo5yZyduHfKm2G2r2rRrv5s4Qd3ez7gK/yZkvc/ZxBTxS +9Rv1ti69kW/FNtdQtWyw1oOnibEj9Zv19q/ZZ+CXuDsKRw937+be0sS1Vk5v +BS9nnSxas9LuZe58zrm34PgXvLVqDt2dB8efvOemgmMYxP5Tat9d5OtH8EXs +txSswX28Zwv7pfAvYx3oiDjMt6Mt/raf/fPsH8/7DRPgi3DMLlkD0oJ6TL1W +ZQW5vsD+bMEc4pI21xBjrmyNLqCXDtWcqw/RwUDiXlunfIHT1LlRjIpVNVPt +lIM7sO9kP1hwj6pXpUlp8w3s12JfjH7vrVhP3fjYjO8tVWNpUDNEs+R3aVrx +wrG26BrvguvvunUv/dexv0ysJ8rObS+rmlnbD0oD4K84P6fgnPxF7Osyc4tD +XNelrtUPvGl+6hwr1+qBn9mfJOZmqzUsLR8g1uW8ob/snlzEt1NF53Sm4Rwp +V4c5Pw2el1jLikGxjHFG83OaXO8ANxvGmiHj4E11945qek/DvTZQ9exTz6ln +1DuaaZvBszLXVpqX9sc4P9HunGsu3JZ4liqHymV/1TNFs0Qzp49BfWPFs/Ij +1heJY5dGpdUXaz4jm3pAM1GzUT05DJ7MXEvV9N3MPahelAaeA0/BN93iHL6v +WZm5NprB94O7E886zZgu8IXUtdAMnAG/l3hWa6acAD9Ws0alTWlWs2z+XNde +db+U+r9HPfgPuCf1bFIMiqUvsRY1YzRrVMutNc9m1fR/aFPhZg== + "]], + PolygonBox[{{6164, 2842, 4507, 3500, 6038}, {6160, 3667, + 3444, 2841, 6162}}]}]}, + {RGBColor[0.2515966825, 0.2762395025, 0.2985102425], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmF1wlHcVxt+wuyHZ3WSz2WX39ZNS2kISKK2jjtOR0tGWr9CEhqJYcUga +piKl0Kqj3lACVhz5aK9kYZxpHexFcbS9EJQw4iiMH6R10iadUZPpFIaKtsP0 +okqhF0WfX57T6cXO+b//9/9xPp7znPPuvAd3DGyflSTJvqYkyUgOZJPkuAar +NPmxepL8bXaSfFRysKJxS5L8QuPP5Dx/WOsOtibJpMaDGr8heVG/f+usNE2S +TxSS5COSu/V7qJgkeyQb2v/LtiR5QeM1Oue07mto7yc1v1j3X5bM655P6d2Y +5m/Vb0JnPit9stpT1pk5ydNac4fufrPJ96MH6x6f7fmdknurvuOHkpul/9+b +ZVfNZx/S+006+5ruK+jM9yQnap5/RfKfek40f6nu8zl7kabua7FOP5M+66X7 +bRnr1pVPkpWSBf2O6P71LX5eILtvKfq5Q2vWSg5n/e7+Fq+vaH6dxv/QWX/Q +eEDjvOZvLHqe5/0538293M8YfXYXfOZcjR/Uu36Nh2Z5rj/mb5ANU9J/nuR1 +vduDjZKnah6P1uwzfIc/sQn//avJNh5odXy/VzQ23tfeLfLnE7p7jWJxuNWx +f17vdmSNAXQ5UfOZc+uWnEmM8SVn4rcDik2/bDso+aj2XpDOUzqnR374Xfjw +P3o3pTV/1TmvS/5WcVyS8XtwgM7dep7U/NNa/2qzx2Xd1Wi1fuj2VsF7WI8u +7MXG6Rbv2aA1myret1hygfQ/pvmFkhe090TG/ntqTpIs0/wL0ueadDsvnd6T +HNc5L4fPD2rNUq15Xmvmav+zGs+v2UbG5Mi7VdtzVTJXdOxP6v0tWvec1tws +Wc55vE7zN9bsm/laf5PWpwXjA99j48XIP2zG/9tKimun176o/a9p7eaI58GI +KTh5LTCJD/AFvptq8RifcMeFwGemxe82ZD5ch8/vlm6jer5HshY584bkc3X7 +pEk4WV7zHStqjgN5QnxXpcbxasnP691xrbmr5pxhzVDGvm1EHDekjuVIan2O +ab5L88t1V1bPq0P+vPXD9zNjxWVh3f66Kvll3XNSv5dk++/zzgnyEV+NZe0T +5vcX/O6ZjPOcNeRTTvM/Dax2542nrhhjF7InxvAQ98F3nfCAfuX4DWec78QC +PxCjy8GHXxcOhyvG1O2SZ/XuTNY44Qdm2Psnrf+cxn+sGwuNwEM27/m9OfuI +PCJeZ/K2DVuw9d687SUuPWELfFXKm0fgXWrDZMbvsG2GH1rMYx/Y2xXz79aN +8QnpvFJ8v1c4bC2ag/dpzYTOqSt+H9e5NckfV81xVyTb8+ZmeOxi3Tx3YI45 +irvJ3TXC9p87nZfk6FdzzpFXNXdO7z6bs019YRdn8jyoM69Ip406f6kwdi5r +7hgM3sZ+8EZ8iBOYh5+oecSfuUrME7t+/S41mff6Y74U97YHl3dGjMijSsz9 +V3b2yK5PV7yXfOWc8eBtnuH488HzxO+BZusKh7CHu/BTe9h1c9FxJR5wOBwF +x2bk3w75aVZqrrqz2TXkN8HP8DRnt7a45t5b93hN3TWes4gpe2+NegcW3pzt +egAvvjXb3EieHYu8m6yYa3+t86ez1gH8TAeHwB+sJ1fJTbhwSdTWvugD+iVX +1c037+i8xXXfu6juMzLBP/AsfLu1Yh0Zcw5YeLrTeFghHJ7TuFR0rnUEtsEW +Pn4IrGr9X7Tm9YLzshzx7YxcJY7EZijiBY4bgdVKYIb4npK9o/r9CsNS81Zb +1djoCExSz8jHdzRfSY27axXjBG6H64nlmchTuAYMzvBPzrmN7aXAGjoQr7ua +HTNsK8V8X+Qy91K3wMbDuuuLNXPgF2quedS+Eenzv+Bt+Hs68h5byN3enO0G +exNhOz7FZ+Qgucgz41Oxl36S/gHuYrxbd0xo3Ft1DsMN4Gg47sHPrM0WzXPg +E2yC/11p9H3S945m+wJuW1Yzd96tM1dGDaAm/KBqnZ+QvKL3I5HLk5FP2PxK ++Bff0g9Sd8E2PSD+xK/YN1R0/9OZOkYdklsizui+Vfjp6XTvtkhye8n93+3B +4dfroUvOuCHexP0rOmd71v0WdZlaujPn2vRA1DvqHjUHG9C1W+cfKbvHfFzy +R232fW/49vuSu/RupGj8H9H+L8knh6TD8qJ9eyb6fezFrkekb6NsLjkRNqA/ +Nk6HnTvLziVijP/Ggj/PBuaJ79sF3829j2n9d9v8PcBa+m/Wrw3+JK+uVmx3 +XbpdLjjHB6JXgu+mQkcwhZ7Uo8tRk74tu65r/K3UPLQnuAj/MY/ucAccMl6z +Xm9HP0fvszb6oq+lnt+YusaQQ9Rg+lxs3xJYHggbjxaNafQ5Hv0x8/Oi36Pv +A9e7Att9UYPIVfbeE/4fijHn0BvDX/ARuFsWubyn6ppF7dpXta/wGfV/ftGc +g73oOBwcCpdSY+jd1kVfTW9Ff7M5vl3A24yNOfcojcjp3hiD45viOwTsLIhv +GfRdHvrzDEbgKnrTmVilrjNLo9bQc3IXteOb0e/R95GL/ZGPP9Hz+vYkmZMa +Z2AJHjgdNsG3cChc2iWcrKg6Z/ZLTmaNeer5WKd7DnwPNzVi753RW9JjbhUm +l7S7BwLD7IMH+E4FQ8SrI3L8sOT9yotHyu7TyR98UU1t/9nAw6Der9a689rT +HX3mwuBR6jp69wcHbau4tt8X33b04wfiG5Zn4kfsBquujSvqxtfR8Dk1alXJ +nDQWdg/Gd+gzUa+f0vsnS45Vf/Sc9Ax94Tf8R2+Lvtfj23E8vl9Gwy64l15y +PHoSsIMPwSI8942SMUJ/dDjuhZuwET3IV3R8P/pM9rP35fgW4JuAnBgL/W9r +d2yISzbqO3kLBl4KHGzT+3Ul89dk9OobI5dfjL6d3rC35NqCHuiHbvR3cOlQ +fMtQN6ih9FPwDD3rvjbzKVz6HY13ld2n4kPWXYq+lrU31Nxn74i9YHx75BSc +d7Rs3gObk6HnucAqeINPTgWv0uN1hz4jwRtgmPx9NPq9RvgCHcbiTM7LRo/P +Xvh1U3AyPoMX8Fsa32V8n1Ej4YDHUuPjaPAP3zXEj3q4P3DBmP9+qMF74zuG +c08H35+MPD0kgx4umY/Ij/XRS++fY0zT449GT0C+8C3wQR/xf7hQZP0= + "]], PolygonBox[CompressedData[" +1:eJwtlUtsVVUUhldp76W0tZdLr+ccn1AooAXUkKCGhJeK9CVNCvEBmBYlqBRq +UIeibcUaW3lMhHbiRGIkPiaCFnWgJppITETAaOqAGtEIUQcqhWqCfn9+Bivn +X3utvd57nfpHnuzomRIRz0IVUHch4tViREdlxJyaiIPghukRn1VFzIW/UIoY +ykUsQPdvcCfyNu78WB1xGUMD4MYZEfPRvR8bF9E5g/7ryIbBk9A4/CH4EfAT +6G+HGtCfDe3AXuNVEZ/iLwc/DL+jYN/rsTcGPo3927HRy9nzyAfR3wh/PTHs +Rb4K+b3IVkPdyNcXbGuUBHuziPPonSvjbmZfB4rOVT5bOOtDPpP8Hq2L6Ck4 +Bvmeh04z/Aj2N4PPoJdDv8j3VHnE4ZRawO+GfxxfreCl6HbURmTVznEEW0dr +bEs1+oU7gWyY+9eAJ6Fq+CPwC8DbiGFZPmI5tPfqiDWclatXxNME/hL7TQXH +UsBeLzXFRZzEfx/4Me4vgu+BX1ty7PsKro1yaCm4h+rdODZWo7OLWh7D3z1J +xEfodBUtG4LakO9G3gq9CG7l/nFsTqvxDCzB3w8VV2oA3oNOu3oFNYEHZriH +6p3uNJTcu8P4m5949rYVPAuawdPYKOZck0vk+0bmGdNsjYBfKDnXTRSlH/w2 +Ot8hG+DOW+CXOGvLOWbFvh17F9DPYe935O9A45We6SHq+xrx7SSGG6o9Yy8z +H7uKrq3iHCq5ll34GwTv587KvHv4M7b+5GwMvaWcDSJbV/AMavYqsHFT4lzX +wTck7ql6qzdxibsrOTsCvwX5isRvRm9HM7AH3TmcHQKP4X82eHXiXn2F/ipw +GTU5QT7vakjA3eS7Iu8YFavenN6ezvbBz+LOr2W2WZ/47WwvOla9oTWcnc57 +pjqxNQk9kHdNB7DVjPx7+E78NYGXJe6FclieOCbFNgp/d+Kclfub8PPAcxNj +9Vi9viuxrnzI1y3Qhrx72gVeSI3PTY34jXrX4v8fzpbkPGOvwP9b576pfxn5 +j2LvG/Lt586H4PcTv/3n4D9IHLNiPwB/UrqJ8WJsTGDrWOK756Fv4fuxuZW6 +HOXORvBD0OZy75QN4CTzHtKsaLZ3Zu6ldspT4DT17JzCXga+VvM61TkoF+0A +7QKdXZd6B2gXKOdFqWNQLIqhD3utnB1HPo363Kf9kxqrZqpdS+pd8SA6zeCb +U8/GWWw0gkuZ35JyqAO3c1ZVaZuyfTG1rmZkAjwzde20U25M3QP1QjuwgvvD +mXeddt574Kehy9XeKdott9Z6p2iXfMK+nYJ8erV3hnaHdqh2qc7KkZ1NXauF ++Psp9ZvV2x3jbBb468S5aUZPgBdjY7DKM7mlzj1UL5XTWvTvgP8473/ShHZZ +ybtMd3T3c3TuBFdA+5HVp/alGdIsbSKmP67sBs2aZkCzoLOHM+987X7l/Ixy +T/0v0Zv8D7y1zrlo52j3aEdpV8nnF6l9yrd2yF/a5Znfumo6I/MO1S7VDmsv ++d98W61rqX/0/6gPA9Q= + "]], + PolygonBox[{{6169, 2845, 4514, 3501, 6039}, {6165, 3669, + 3446, 2844, 6167}}]}]}, + {RGBColor[0.2900108775, 0.3192062175, 0.3421045975], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmHuMlOUVxj9m2d0ZdpGwM7MzXCzQCgXWXQIp5U6rYkKF1rZpynWpEsAq +CCxLqiAo95uwbJs2KthKJaIE0hj+qBeK0KJNBAoVWFBBQC6CKK20iZVC0z6/ +noe0f3zznnm/93Lec57znPN+3SbP+v7MVJIk1fopUVtokyT/Kk2Sw/r/anWS +LC5Pkm6FJOmil1/S00/9h9V/vCxJRqpNp5OkXM8kvWtpnSRH9fxJz9p0zGF8 +vdboUxb/10uuLo211mtMV7WftEqSTmo76ump8beq7aynTvLqdPxHnqi5tWXx +f472GK++y5q7Vfod1rjSYuiEbt9SO6oQ+t2rNqc9v6z+bEnoh55dk2jRe7L6 +l2r9rhpzROsedD9jH8onSXf1P6h2RTp0Rc/31Dddc7ZIvk37vaj/PdV20H7H +1P+R2ho9lyRfUztK+i2tSJLRaifouSJ5ido7NOcVzb27Os75qJ7B0u05tce1 +/1y1TVojXxp26eT12WcbsnTarvbTnMZrzBW1D2eT5KeSN0q+rOeY5E/U3qcz +dNFeL2v8/RqzSv0/U/+DktdJfkryVMlrJP9ccp984GGnxveV/G/Jv5P8Tclt +tM4dav+ice+q/69q78+HDSerXScdT7YOv7borBvUXtVZ2lTKxvr/jP4vz4UP +Rqv9ICP/qm+cxpyW3FdypeRn9G691r+mdqfWzpTFuElav7IsMLRL7Y3SmDNB +/TVl4aenNadJ/f9Q26B9fqhnivqnS78eGjND7TQ9X5H8gNrZenpJblD7I3Ct +Z6rG19tf+G2x9E9JHqB1x+j9O3rqkvAVOMlr/KHW4VNwRSysczyMlo9PqH92 +Nny1Rv0v6ozL04EtcEXfavdfy8Yad2reJNnkpOZWlIT/8GOD3r+kcU9q/GOp +OB9yP8fOGscPfWvdj6/Qh3lbvDeYG5cOGR1WWh/eg52VlkvED3sk35MKeyBf +aRW8McLccaAQ8n5jc4jklnTgET/ho3XWBx0WyV+708EDcMP7ZXF29l/peFtl +mxAfvOP/fLXj0yHTP6o65s6STe6pjvicKXmp3i/T80Iq9BgsfTqmAu87jSXi +/ZB5gLg/aHlDJvwL14CX6pLw7yP54KKfqD2bjrnTWsdZOfPy0vjPOt0095FU +cAmcMzUfXDRFbaP6B2mOXiUjpPMDEu4WVu8yJ8AN6DvIOh80J7HmZxr3nva5 +mgsbgXlibX4++HZePnThzFVav3cmZNZ5X2v01JiCxs/KhzxT7Ve130n13aY1 ++2cD16liYIjzdjZPE9fztM6JTKzF+cA3+8Ltx9SeAnvqvy8b+9dlI0bBCvll +bj50bsQOrYM/PxUGJmYC21s1ZrJibVxZcMc44eSo5hcln9OC3dsGlyxRu69d +xGNzm+AYOHyt8LnXexE7wzPBTY9q/Jz20lPvX9c6PfS/Qus0ao1fqb9Gckkx +cgq5pdYcXuM8Ax52lEQ7xtio0zqzNL+n5o4tC277TP3r88FdcBgYBIsdwH8+ +eAl+up6KPnLZs5mIKTgHm+IffD1W+x8pDfyNkXxYcq4kbAMnc+ZfSvcG6dBL +OtRXxvnRgTh70rFGzm1Kh23BP9h/PhWxSVy+4Lhb7nhf7fgi5mp1xk3ao7Yy +YgBd8C8xzz6HHZfjHZvziuG/+Wqflu1+Izu/XIwYGWxOaNR689TfpSLyCXbA +HoccO9OcP8AavPT3XMRWcy4wQx1wQu9PpwNv4A4uxzbk+nvN+yPVLgUrleHr +b7s2oEboXIz9b1V7IxU8CheBY84BZy5Jxz74CJyyN3HSRzaZK5vfrjUvaMzE +dPRjb7j4MfPrOHNsk7mzLb7Vfp20b74YccV7eGyYMDA0ExjeXR15dI/aXXpW +SH5D7e+royb4g9q91VFXvan240LkpsuFwE7R+HndtRw13cZM8NpF/T8o3TeD +Xem/X/ImyQNl34GSX6mKvN33FvmtfcTSDrWL9G6gxm8zn8x1nQImkPEB2IXr +4IaCsVxr35LfW6piP/Yi/pZUhV+o0/AbvPg1vX+1KmoFMLK1ffiJ+HxLutSn +gysmZCInllsXMPkD6TykKuwL71FL8W6O1hyq/t6Vwans09HcjI7Yap/Gv52J +2IZjXqsKnjmZCb5bkI5YAe/UJzWZwBt7HJC8H500Zna74AU44beVgRVwcioT +tc4Tri/qjQlya6pN5ELqMmzKmvi8UBrYpNa5YXyOkT2+rj2OVgRmsAG4qned +AIdyPuzJGbFl/3ZhT3xw3fUz73Me05yOnMI+4+0rxpzJRE1GHAzJhI7kbWya +Nw+AlwHtAjPj9a6lNOJ5MWPTgcXH1S5MB3fA2c9VBW/DhcT3oCRyPjXHzTp7 +nvupf7e4PoZT61wnU6uCs02unairyFfrpWcTGLX9XnJsozft0CTeEeNDkqhJ +qI3IY9QhcB7v9krPX1QFpzaYu+Ag+P+waz84e7drIXj6ZGnog13havx4Lhfy +2Vz4fprzOPamlsXmXxQiBx5VruxUjBzVUe3nubDBgGzEL/mIHMT54Bk4ansm +YpI4GGneW5cLjiTW8Sf7n7A+LdnQ9zVxwpVC2GNGNmzAnQ07FIuRi65nI6cd +cU4hz4I78g6ces71/XnzP/55VnNHKQ7/XHAeqoiY+bA08g25BozOLI989L1i +rPNdtWPTcVeiHvq1cL6yXdTjP3ZN0t/1M3dCfE3dN6M8fEZ9/XB5+JvcyL0O +LiUvt/K9A1ulXRf90XUqd6kevsdxn8P34APbsvZxY4I73zFjcbTvLyvVdrUN +sSXY447GXYPYWer6c5jrEGKVWmS4eZ52mGXiZpnrBHDLeTgL2JvtWvBmrc9+ +7IOeYPhCLvB3PhcYwe/gCTyuMSa/yEXcNOUjZ5a7TmPfD+0X7PeuYwb/gFF8 +9HEuxl1yPdPi8U8Vwj8d5LuLuajTPspFvB/xvvAA/dQbxNAQxxF4XGVMti4G +rm/R3FOlUaMwnrwKl5NbOROY5lxvm0fhKXiF/diLXNzo2oCxjR4PB8FFxB16 +PW4uog/9nncthr/gvf3mPHieviXu5xyLzWn4pMFnGWQfUc+TM/vdEnkTzl/k +9anvwXVjMezQYJ9+pxDfUT4Xti8VAqsXCxEzrFHpWgscE0/koBv+VnOhEP5v +lk9H5ONefFc+cgu5krxQl4/xtfnQ5QnbAd5hPHmlXzby9jLfucf7bnXVsXTE +urxpfW7aF5uQHxfa/sTuWHMj9yNkzozdTtmnc/09hO8i1JTkRvIhOXSi6y1q +FvganJOzwQDvqPGog+FX7mXUx/iR3MQceO2c6y5yC/HKdwFyCvd77hL4jpqT +XIXPb+YGcivnm2C/k5uxIzakPp/kfE38NTgGx/ouwHnh2THG5M17NfFGXTHW +vP+NfHzHGJ6PugiZfIyujO+Z+t/9Fr9SD8K52J9zLnTMDjVvtHXdRW1CHUPN +gZ04A/dI6mnsz7wFngsuhnouNsEe1Gpr8oHfvzlPEWPoPMbyOMfjAdc58Oh2 +5x3Ot8+1E++IH2zIvH1eZ20uePGf2dCFmgqdacEQ+KnznXF0IewNNvAB5+rt +s+Ej7joTjOUPrBt7otsJ2+mka7YNvi9d9dmpYTk/d114pboY8YO9p2ejHiW3 +MY98DH90V17YXBnfgKhb/vv9oyJyJDY+a5xjh7P2NTUyNehc14rI1FrkOtan +BqZdahk+X++6hfyOjL3ekC16Sd5ViLsJNQoY4e5AbQTWqOOb7VfimfwBrjk3 +c4lheLrWsUbddMI2p3bAj9i93Pcp+Ij2tGVq7SbHAt9ZT/vOBRdRH5ILaM9Y +Zg9iBvswj/sn8dVsmZxCzdvkfvp419Vn4hvOFtdIzR7PnuyNPlPMV/38neeM ++Zr36MW7BdYRzO+xPsQv404bn+Qb8s7thdCHWpwx1HT8R7cmy/STg7hDEetg +gfsBdUWz76dvFcKG2+z3FsvYlvGbPWdxMbiKWox6kjV3OB+dcm5bkYtvUXwL +hCvAOfxJe8oyuX6j73ScscT3CGrxCmOYtTd6fTjmnHlpieOUeKmwj/Ev98jF +Phf1Hz6cWAxOOm9eooZgjYeyceeod21zE7vUTuC9xncw6pxJHkOew4fvVMfc +Sf4+Ay+A946FsDn64HfuevX+NkT8X/i/HAHvL3I+qHF8kfMZQ2zD1U2OI+zC +eOzO2hO9fr1ldPsP/cg8rg== + "]], PolygonBox[CompressedData[" +1:eJwtlllsVVUUhjctl0JbvbY9556rEAYNCJaCOECROkF9UMGqUVGxCKWVuS20 +DvCkIGAMBXFCmQ0xvhhRHjQyOQA+iJrIVIXGRFqgRVDQRDFC9Pv5fdi5/9pr +PGuv4Q6oaXiwPieE8BanO6e+JIQfe4QQp0KoiUL4GvpR6IvQw+MQvk1CaMwP +YQn0H/A3cObmhXAUmfGZEL7nTM4NoRV6P7gqG8Ia6PaCEB4Av1EcwodXhLAc +urowhI1FITSlQygFV/cMoRx/O9Fdhf254CZ0phPYYuSbwbO5G0OcHchuIZaB ++DjdLYT30BkEPg7/ceLJh76DeDugH4MeAt0IfWds3j989K3gY/Anwr+Gu6eg +2/W90IOgZ0OfgJ4EfZh4TvGt92f9LeXQF+Gd5DwBvxX6NPx1nNl5zuE9xDMS +/nZwC/yZ4LHc1ZCPT7gbB27g7gg4A38aul3Qk6UPfRa6E7oa+gfoX6HXc+bk +Wede9DdC10P3g55CvHOQryA/88hZFbx3ydHb+OtGzJ3gemQGI3sE/o3IzuLc +gnw7+fwA/lz4Sa5lGsCvY+NlfLdxXgM/x11f+MPhLwT/Fjk21YBq4VXOS9BH +OavAM5CJkR+I/CzwVeSvL7GMgn8B3+PxSUmEnvifAB7K2Yp8J/bKwL9Ezr1y +qtzenXFt9UenFv0zkXOvnCg3Tfgo7eE309s9Dd0He2XcPQuerxhyLdMMfiY2 +T2946S2Jrw7+GdUneGbs2FvJ13D4tdBXQ0f4nIq/T4nnDPX3AvrbwHsT98Zh +vucrfY/ySb9c4G4YeHviXqrk7hvwvsRYMpL9PXIfqsfUaycTv516UL1YQbIe +ujyE3txdR89MQ6ck1zHVgXOIeRj6+/GfC96J/pBe9AD8fejvgP435btd4Efo +v3L67xD2zuVYRrI12F6A/oLYb60aVC1eD704zzZGKJfYqMX/Ye56azaUeBYk +8Gv5lvnYX3SZ31vvfi5ybatmVbsZfLTl+nsS8ARy2Kb35UzF/vuJc6kamYLt +TYAmbPb7vwdVw6pl1WhdiX3K91Ls71SvxbalmBV7VeJa04y6L/EsGkE+d+d7 +Jo0iF9vwUVDonKhGFXsOuCtxz8uv/Pch3tHQbfhvwf5n+FtHbI3YGIz+JPx8 +njFPNafa+xJ6RZ5rUrV5V8azQDOuMuOZq9krmS8yngmaDSuhd0Mf1VsVO4bF ++NiV8bde4O3GYm9PxrLqUfXq9NizTTWiWtmM7g70XuF7G/i9gW8v5X325DsH +mgGaBSuw3xK75lX76ump4Bcj995B7pZEnsGaxSsVI/JDsbVVNYXtvdh7nng/ +gq7o5bvxWc9y1egM7HXBbyemfHibOXHWtTCGu7VZ636XdqyysSyyb83QpeBF +WffqpR4EbyhyDPKtnbKx2D5kW++4DFzGXRn0k8R9KvHbakZqVs4r8SxVDaoW +b0b+YWyeJb8HCpy7idAHC5zDTeCPuRtaaJvHiGl/yjtFu2VwxrtJNX4t+Mqs +/WrGZMEnEveOdtpxcAP+5qfd26qhDuwdSHknaTe1RJ7t6rnl4L8Tz0rtwPOK +P+0aVO0NQf+E8pXyDtQu3ILPd4ocw+rEb7++yLKqgU7kD6W8Q7VL58TehZrh +muULs54N2una7X9FrpXRxP8nuDntna5drpyoJlWbhdio1KyNPQu147Xr16Dz +c8o+uyLvDO0O5bBd85W3uint3KtGRqY9szSr9AaLit0T6gX17NrI/x1kU7bf +5PyUcg5OKl+Ra1U77zx4deTdLBnJjosdq3awdvG82P8dtBO1G1ULu9P+76Ka +0E7UbtQbHQensp692mHds/6Pof8avbBxO/i22Fj/CfTfYEDi3aGd3R/8H+Eu +T/E= + "]], + PolygonBox[{{6096, 3659, 3448, 2846, 6171}, {6173, 2847, + 4521, 3502, 6040}}]}]}, + {RGBColor[0.3284250725, 0.36217293250000004`, 0.3856989525], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNnAeYVEX29m8PM8Mwfaf79u3p6VFRAZGMgCBiwrCuOSPmhJh2VYyYNhl2 +DSsK5hzWHBCVNee0rophg1lRQaI5rQnQ7/35nvn4Pw/3qdM1detWOHXCe07R +e/8jdprUkCTJ281J0k3lXm1JMraSJO+pclxHksxV/fHVJBnQpDrRuzUmyVDR +H4reW3Quep7obUTv3OH6E9R+mB79S35TS5LtVD9b9UerYlvRW6v+KNEXFpJk +LT076fenekYH/XHi+h1VLtYzSvQOKs8rmKZ+fIe/e6L6OVd1I6PNkCaPeS+N +Z7DoOaL3FP2jJjdX5Zma1wNqO0bPzmq/TPXzVT9F9acwRr0zUL8TPYv0TFP9 +54nbj0tMrx3vXlLwmKkfqPfe1/u7653tO7xWx2hsO3S4/ljRO4r+QPRk0YOa +TO+h9jt1eJzHqX5h4rlsr/JslWsGPUfPcNHbqLxLbfdv8vp/rvH/QWM8SX+7 +Uc9Bev6sNme1JsmhottFr6fyKD27if5O7f+s9r/T7zvVz4Qmr9UM0fs1ea3W +19+O1rO72k9X/T5Nntft7HmTeeA21lj0rqLvEL1vk+dyt977rZ5H9O4Mlb/R +M0P07SoP0XOt6FtUHqznfNH9m8wb9DM/8Xy3U3mmyhFBf5iY3lbl6QWvA3RZ +5RYx3z+qj6PUVz/1c33UHwdPwYsqx4oPz9aaHKb6Pvo9RfTh9CX6HNGTRI8V +va7KI/XsKnodlUfo2UX0RPV/sPqvNnoN32/0OrL+7zV6Dxaon9mify/6TtFX +xZrfJfrqWM/T0yT5i55r9XszPdfFOM+AR9T/ML3fQ3XXsF6qv7do+ifRBxT8 +HvUXcM7UfkO1PwfeEb12o/f/plgT1v7OWP+b9c37i+aRv8KDaj+y0et0YxfP +qM2ZqdfvRpX3FT2+n9T26YLP7dVF0z+yJi3iQz3P6PcGev6hZw/VX6v5Phv0 +eNGr90iSJerjfPV5np7p7G3N/Q5XubPajNPzlOoPLPj7rMkdavtQ0XyU6Yxc +oXGXVe6k3w/qWUXP3S1+7wO1n6bv3KvfB3fzeees/77gvTqr2fP9qmb6S5X/ +i/1mr68omGavv4q9h76/YHo8ZyfOEnt6gvo4QuPvpT676flYz4WcK9UfqfrV +GpfvMfu1n+oPUn2u+jTqmeOfkROqH6L6keLV3qqbpLFdWfC3GBt8tH58d7La +T1L7lRu9xmNjnW/VWj1Q9NnaquCS87VNwWePc3e72jxYXH4Wp0c9Z/HWaL9d +wesNz0xV+3NT/22KyrNT89bRGsPhGsOKGsPSxHvPGH5IPE74/OrgCejmJu/d +lshT9Il+r9do3jow1uEylRNDlq6ELA8ZMiDkzUda2/u0Lgfq/XtVFlS/f7PP +I/3T96IGyxNkyWLRA4tuNyrOKvt/Q8HnbLjov4nupTbfiW5ttDyjPEb1p6v+ +S86inm0177rKk1V/WJPrHipY5iMXP26wPEf+fdJgvYMc/VT0WPFjP/3eCh3U +6H17V/U/NHr93hE9TN/6WfTWrGejeQf9u6zR8ux90UsazWuzRY/pniSfMW89 +jeq7Q+UC1Tc0eX3aYy22jHH+Or7/QsH6EXn/WYP1+C86RHRTk+e4sMGyYVSs +1U+N1ocfqP7QJn+TdfhNk3XkH0WvVvTcUj0TmzyPF1Xfr+g5lPWsXvTcSo3W +M5THq025u/UverjQ3Tqas3uQ9nglfXOuzsSEmmUPtsNY1fXWHPn8AU2Wv+i+ +hc2Ww/ye0+DzdHnBeqlN9HGi+xa9jvxG7zGuE1Tfv+h5Znr6FL03ReyH7j7X +nO/fNrn8U8H7xz5OEb1yd9sJSewNezS14H1lf88qWGfS37GiNxcvVRo9ZnQ4 +3zwR2ar6Wqznlqn5Gtm1RWqZgb7eJvVeMwZ0Mus9WfQirc9pmv/CmnmA/Z/X +YN6nnw9F/5V3Qp8uaLEM30vPBXomFGxTTVO5X8F21MWMr2B7bG29vydyRXQv +0bsULKf6it61YP36smTvS3r2U99XNvucwH+j1GYP5oT9Inp35pRY3vfX7930 +e4z2eAPVDdX4z2HPCrZ5eurv4wu2I2ciG0ImILe2C9l1RLP5Et59M/TCTqH3 +dgg5dliz94+164x3qb9PY/in6CXoymbzNHtwU8hQdCK694CQ4b1iDC8klonb +hMysBc14DlI/h8Qe5NEPbbpF3/M1pw81z5PVbq7KoUWfvU2xnWqWaXfVrM/H +qO5mvQ+z79tsPlimMX+v8nzx+fSa629XOajovR8T9sd5+vsbeve3+ltfxlSz +jOFccD6S0EVzsR1FbyH672q/odq1qP0GyNqaz9rEmr+5V7N5F726doxtUV3v +ac9vVLlZk8fFd0+MOd1VsLxfX/RtyJ+iZdZGjbatsV/uKNiW2SjoHTs1LrXb +vtM69VfRzxEaR390j8o1ipb7jPt1tZnazfINO369+Nbgotedb1+m+s1jjox3 +pp6D9M4BLbZjsBkKWttEzz0tXivO1JDQAbMLlqWzM+mi1PZxd9Hry19aR30f +ncueyHzebylpvURfrO8fq/rvMsuKt1UuSm2L36Q23+j3hcge0QPLtpu3ku9V +bvPabiG61GY5vJnotjbrrFf13rzUtukbohektlmP07d+yCx/sDGx4dCxJ6h+ +ierPL7juJj1tomeqvFvPJXou0nOxnp600ZguTX3mePj7uGhPfe+CbQFsDuyM +bTS2rM1rfrvm8pO+dVnRtiR2J/YltuSN8d3TYwyM8SSNbZnaX1Rw21v0ZAXb +qjcHfZv6XKo2l6ru92r/M7TqV1W5kb67sdY/Fd1L9Kvwj8qBFev8caKHVswX +fbXGgyq2OVYXPaRie3kntRlcMV/vLHpYxbzZT23WqNg+Gq/6ERXz4w6i+1ds +8/dRm16i/4UeFD2gYnkxQPSaFdvg/UUPr9jmuktzulPPhallFCVy6oai9+DO +aHNR7MVOeq/aZr7dQXTe5rOwnehKm8/L5lqTJtF/Zg21Vt+ynurvI5XfptZx +W6pNs9r8RfQnqv8+td5ZJPqb1Lp4rujPUuupD0R/ktoW+knjX1HvPi96nuq/ +SK13Foj+KrVuzUSvrDYvsS+01/he0BimazyJ6MuDpy4L/sHeow6b70K13yo3 +b6AjrihaT4wQfbvobxLrkSuL1iUXlD0f5lJX/1uIvlnndqTofpn9EPQa/IJu +Q69dUrRuW1X9TBP9tvrsUPvN9O5Nevf8steRNRykNrdh/+H3i75D9PdgEqKn +i/42/NAZoufiP6a2j/+m339N7UddK3paahv6uqJ12U1F67PL4hzdGL4UPhW6 +GJ3LuUHvnpH6nFxTtM69uWi9i869pWi9C+5xt+hFgRXcJXpB+M53ip6XWMfe +WrSeRY9fVbQu/6PmWqjYRkLnIqvQu2cULJP2VvlrtWnUnp4m+uGi+Rae/JXq +u6n+1ILr7or6Dq39WNVv2BDyI2TLKwXLmd5Rzgz6rDjvZ4bvgjypqv5W7cuP +mffskpBRLxd8Ju6Ks3NhnCPwBt67Ld7FX8HPwceZEvXIKmz4vVLbt+BOf1ff +nyT2HS8o2n/sp7+dL/o90auhQ0W/m9hWXRo2OXYUZwtbaqh4ZoOK1x8/FX91 +hYK/Px1brRD+VtBTo54x4gvPCH/4jqB59///5izXrHNvUrme1nVlfWtog9d4 +1YrXeUTs2baBD8GX8CR7SD08wDngPDBfeIv5Y9ftHe15d0jB+ww2gs17UbP1 +blE296WiWzts+6NHsf8HF7z/4EvNHW7fpHJowWcIXGWtOIfYlk9qDK1N9o/A +8MDyPoo2F8bYRsVZxf58TO27N9mPAxNi3bcLHOjMmBf8Ct9jK8Ir06JPfAnk +/R8KPv/nxRg4W5yxz9h30cUm+2ij4+yxJk+rPm2yfzQm5BQ+KW0uiXcnBk39 +PjEexpaETYMNj3/GumFzXBrnAF2KjqfEjn27YHwBbGGQyvv0vCn6nYIxSjBG +eJyzB5/j35zebIzo05rpT1S+W7Dd+4/EZ6RLt4yJfr5IrGPuju9e3Gz7jP29 +rNn2H+N8K8aAyJ7RagwC/OGOVuMj4CFrFCx3wcoGyN7v38M4zjCN4xHVv1C1 +P3R+s207ZPxlMYbH6n7nkbp9KXQpvgz4D/gQPgC+4NRm23DP6N22JvunhQ73 +maj8Tt+aIvrbmv1FaOzRpTW/u0Tli/pGP33rYZW9dE5X0nmZVfTZhZeQk0+I +7tFk//0K7LLUvhI29NGpbTD8YOqxwbAjj0lt51yZug1+Vqf6XlnfeF793aTy +gNz+HTpwlbL1IDpgamAplNNCJsyI8865v75ouYB/Mz1kAb7KVam/i++ATT05 +tQ1wNbo6te+P7QyNPbC75MOYin3Qa1K3R+5hY46qmAd3UZuRFZ/n3qpfpWJe +HCR6dMUyZHroL8Y5WPXrVHzu9tC761bsB1+O7ZnajwBTgcZG3VVt1qrYNj9R +dvyjqpsl3thT9etX7CsPUZ/rVbwXa8ZZXhC+FTLyF/9K5QUhG9GHZ4QNeUvY +lmeGrkWXXB865a9hN94Suhiav9EWvBM8sl9gkhtpHP8tWP5jH5wb8mdk0Mh2 +dOM5QT8uuqXJeBRtzgn5g+5H3+A78qBz8P3QP7eGDropdDrj/0xz714xTvyp +6KaKz1wPrU9DxeftE9V3q/j8taq+seIzWRTdXDEuOCN0Cevzudr3qBhvnh56 +8NywIfgueCQPdjf4I+PBJv9L6MkpoUMpzwk61bdaKsbz8A+QL9iqA4r2Idlz +9pX9fVRn7UFV3wbWiE6McrqeB9jX+BuyBpmDTYtddEaTsR54fP3wkdl7/Gp8 +52vAJvScp+cUPUfrOUbPqVEeq+dkPUfF35gbGCs+O/w4PPzch2Msd+iZjK+u +5+CQjWCOYAJgyoz12Wh7lZ6r452rYyzM6cr4G2duo8DfmNsV8TfOLVgDmMCB +geuC72Jbnt9kDAT5iN/LmeWMbhr4G3IZ+cwZnxBxNOJp2IFnqX6V8HHxq5FF +zP/AmA/rcUD8Bq/eLerBI8Al0Ilbpf4NfUnYVvh38CuYBbgHsm1M4EilsH3w +ETZNHJ/7VehuaPRmW+Bf+ALg3+h6/E10OjG8LnxpVOho7ALe/yT2lb08Lfb5 +lPg9NfaV34vkky/Uc1GT2x0be8h+T4w5gz281WD8gRgK2HQXLr177DXnn7gR +mPPhgTuBPyHjRwVWht9xQZMxK2z+C5uMfREX2CW+dXWMb1rwwbnxm70/J37z +/CnmgN0+Rf30UfmbiEkRm8I+n6b61RuMIxBLAY8ixkiscbPEftdzepaJnlm0 +PYNdg/+B/YYdh78yKPA1fKYRgbvhr6wV+N0m8KCeUbF/lGsl3lPK0bG3m8ae +4vfg/+CbYC9jp2E/4nMgG5GX+BnYP9hB+B/IcOyyBZrbQM60dPH8que3SMbi +vKrXYEG743obJbadiP1tnFiWMue12Rc9N7TazsTexMfD9sAGWaR+RqJbao4d +/zqxPbY45rZj1I2OvoirMn9k+0LWH17Vu4tFj+bM1fze4miHHfRWYnts9eQX +syOpx5rxu5+eQXpW0tMzvtNfz4D4HuVAPfcUbStiM97YahsbW3u2/raanhF6 +1gy6b+KY1K5xfvGlsd+aC8Yen08sw9aK7/eP/ewbY9o4+hoZ69rV9/tBb5jY +18U+x06/vtW4xUA9KyS/QF8JYn3FKNOYH2VbfKcWa/G6nu7x+50oV4u/Ua+j +mkjtJz2i3zGxHoOiXDH6Zp1WiN/9450VYn71+F2P/ugLfTsydDH4PbER8A32 ++tMu3i1Yjj8bY2Kt8Wvw7foFZj2hPWIINfsqs2ONkP28e39iPYcdDYaDj4iv +iB89ItaU95A5YKPInbFRzzoT08N2xb/m95zEfwdL/DLwRPa0T+wrWECXf8D3 +V40xIMN6hC4jPgl/dMUoWwr2HcBGOAvgEugQ8GT0yOshB/cIvkHHYf+DscD/ +4CrEH4h9EN/hb4yJtn1ifGDd2K7YZOBg+JT4YNiBXdg38vvWVmOQjPGA4GN4 +eEZ8F/15TbS/NvjnjeAVfJ83g8cmtlvuHlF1HWeQ84Xv+Vn4n/DNm1HfHn3B +f8RDiENhl8Iby4I/+B66mO9jY2NbHxJj6gy9f3m75fAVKvdvt36eVF3O33wH +3GjViEkc0G6dcGTV3+cM4Z78u2DZwZzWb7Bu7VswlrBaxE6IBRFjwj4/NM4f +/RN7/C7w7MNC5sG3h4fMGB5rxveag6ffCR4HCyA2NiBky5B4d1Kc9bHRdnB8 +a07wKb7/3s2OpYHtY8uAz2PPzCoYU8AX2CixvOYd5CPyFHmD3Yu9e1DwAfYD +fIE9j0xHnuNv8XtB7BH7Mzn4iD6R/8VYD7DHi9utKy9p9zfmx/dbY23AJIkx +/hyxjD/Hd7ELGO+cmBf+3r2txoTRKehT5ARxe/w+cHJ8U/xk/FPi6tj2U6KO +9vjgYAP4//j+5AeBD4A/Z3FuTozxMBbintgW2BjYJ6cFzRjxU/BDwJ/JVQF/ +uCjkGeuJbuI7yDF02RD1N1jP14lL9CmYJHYKsT1sldtaHU8gVwA7H/v+gPiN +/YcuIUZCrISYcJddiE3I+NIY7yFBYyMR2wd7+SWW0eo4AzkQ2IPEmLAJJ4YM +4qzzN2hkEfY7MRds+E/aLWfQtx+1e/zYBZ+1W16hwzcOOUUeA2PCVmMM01uN +424QY1oaY+Q3NPbciNQxPHJQwCHuibgm9j7CHZv/9lbHashLAP9E14PlXtBu +W/pClee12wc5X+UX7W6DXbC01bFzYkucBeyvbRL3xTixrT+s2h6f1+5Y9S8x +a9H/TKxL8IfAL4izwyfgX+QJYCfvV7M9e43ab91hm/Mq0dt02Oa8ut0yb/OQ +ey+o/VE6q8+rfELPoaIfV/kPPZNEP1OzX0q+BOcI7IxcCM4LOqoSeorzzbvE +Q7fqsD9yZbtj48c3O4b9as30f2uWqcc2O+Y9q7vjfMQX0S3sHblJY4NG12Cz +gGFht4BLvRv6DJoYLTjVGjX730NqYWsVLOvB/oeHbnql5u++XDNOR04FPgjY +HDkM6P1hYa/THnsXGv2xWLwwIWJ8H8b+ss/IV/YTOYKeZN2IHZO3xZx+H3J0 +cshS7KMNGixvwbU2DIyPvEdyHtdrMC4HJkc8CDwKLIpYEnlH5JwQh9ok+n0t +cd/Q2B8942/Ujw0aHoJXi83mRXhv3QbzH3Y89jy6h3jIqND7azSbZu5g/GsH +n4On4SuCh4Lr/ipwt4e1pofonYdq1kXwFfkKfHPt6B9cjPwWZDW+F3kDY+IM +jYn+4dO1wv44qeZxnFDz77W6bJKa+90k+L2rDwxDfJ4fY+4bxjrMj7PJGb0p +YifUY7sRm8Z32qhmn6LLt+Bv4PbYdtC0oS00f18c+v3y0C19o83C+H1x/B1/ +DJ8QPY2+7p3YX4EmFkD8GZo64jB9ox6Zx3rWgifgDXQBthWxfnJoDq1ZViAz +yAUjj5C8DmwKYvT4+fjo4Nf45ugW3kPXgKuCry6s26YhLwjdQWynf8z922bz +HP3ir5NHhA+O7hjUbPl7ZM1jxw9jHsyHOXLmhjT7PMFH7CN7SM4j+TjkojBG +xsocjq25z6Nrllucu2HBo/iqyElyjl5rcFz+PbX7g9rPVnlVs/OEWKN1g7/n +hu6eFe9iu9GeeSIfsKvApclHGBtnhDMNb7Bu5MK9FnrkXPHVf6If5sTcsOew +xV4Je2xgnG3ONfEl6vk7suulsAeGhv79MvQv+njzoIeGXiYudFKz1/qtmuk3 +a5apg0JnH1/zOCbX7J8PivGwfoOjz3Hxfezt8cETzIu1hiZeyZnoFTx5c8QF +qecbg2KcyCBkERgs+Tjgm8Oib+xR+r8w4mZduBf2/h2hq55LlusuSnwocLzn +429gYg9H3XkRpwLrYq/Jc2O/T01sC4KNdGFnvNeFCXZhhA8my3FBSvydB0NX +4ANhm3f5DVf9nz6wmwZH7ObciPWBF14R/dIffsY1MY6pMY6rYkzXxO9zow7M +BptuSMR9zok6+sOupI/Tou72+AZ24oDAgbElB0YcAZy3KwcTDGxQxLywp/pH +PAveXCP485QYE2NE1pLXhbwFqyZvArzq2Pj+qbEPD8Ue4F8OjfjIn2I+jD0N +2xO7CWyXHBAwUfDRkxO3fS7Wn77QV+QbEe/AVuVbvN+FsTLGo6Pk/aVV69UV +O/17anx7WdV5NDt0LrcvGTt6m5w/dDe2Dzl52D/oW2wJ8Dp0MrYWsgKbhVxM +7Bb0PLl66HrsGnLpsG3Ia0M2IZewa/BfiLkcGN/swkGPSZZjhJSsAbYYuXfY +Y8ggZBGymnwo5PLvwpbBNsW2QaaTG0ZcD/8JP6pPYjvpiPAj0J2Hh82MnTQp +/AjwJOz6TRLb9eBqYBTYHOStEUslT458OfKLkCNHBnb6v5gD/n5L2NjMA78E +/wBfZmnsM/YwuWo9wh4DYwFz6cK+8MM2TowNbZIsx4ooN4p2m0Wf5EaRV01c +BDwD/xHfE98frBHfak5iHh4bJb/hZ3wL9gC/A79tu+h/dPTN3EdE3YbRN9+g +n/6hq9FlXRglY+3CKPmNv7htvIv9Sl4fMUTscXgOm7wLg+Obq0dfXTjZyGQ5 +3rZmjKULj2OOfUO3o9PBGf4vXjUwWY5XUXbhVZRdeFW/+CZ666jw79DhR4fP +2BF/78LS+sZYeoVefTv6Gx3zfjPGATbShccxltYYB99viW/Td49kOWbWL/pg +/l24Hu+A8e4Y69k93mMs5LodE5gVdmjP0LPoE3Km0SnYs+QHEw/Fr8SnJI6D +/gIvAkNCt4JRgDNcEPEpcBdiBPgYxAl2b7cc36PdmC53MOCB50J/w0trdDrO +NEzl8E7nc49QWcuk68q2yz9MnQ+Hj7pmp/MgR6osk6dUti3WIMPhv5m/0Sn6 +tcx+Lf4ldxXwWYh9UocvS+wNPAssi3gbPjb+NDgMGC788qP67t1mm6NT/W3Y +Zl0LtsrdEngJbAeMlfWYq3H+JzMew52IneO+AzE8fFR8yk80tmFlx0QWlJxf +As75ZIftBXCp9+vOAf1A5Qclx2XB4pCjL3c3HvlhybFV8JYvU+dpIW/5Hnm3 +YJj/S50fhlxdqLZzcseTf6fyfv0eJzqvu8+KygbVXVcyBvZ16rwx5Pki1c/N +HWfuJvr6krGuxSrXKDvWg2/1QnfL+89T55Ch49CDYPrIj3dV/2LmNbsnc34k +OSz3Zc5pI27/QObcSuKxAzqdUz5Q5QqqezPznvXrdJ53/07HecfHOg/pdJ73 +0E6v/fjIOejb6fz11TsdZ+DeFHy7bUUypeT8ne1FLyk5x2dH0ctKzsnYUvT/ +Ss5VXFv0lyXf13kkc84ieTd9Op1TvprKzdXm65JzIQsq/52ZV4oV5yziJ7ZV +nLOIvwYGSPwDnfMP5pg67vMeMbvMf/+T1v5BrfP41LwFvo9M/YPqH1D9zqr/ +mby8zHP7p/p5O3U8Iq049xFf9VnVv5U6vlOuON8RP7FUcU4kPm9rxbmP2JiD +Op3fP1jlKup7+zb7zsQ3uGeFfhwXfI4/9YH6/lfmM4Qh/0rmdlurz+9Kzv+a +XTfm8p7KT1PnI6LrX88cCycO/qzolUo+M/8U3bNkrOiZzHwAD/xD9Ioln9sR +ojcTPbfV+3ZE7r17OrMs4Mzfpb4n5dYj72eOoxNDfytzbJ64PGP8Te5xwheH +5uaNGfr7Ybltg5mij8yt039K3e8v9wUyx/uJ9T+td19PHSN7RvQbqeNo4D74 +UZ+2m9cOz81vNa3rgJJtgy8zrx3rdgv5qmXnL3+ReY/Z35NU7lrymQMXAx8j +nlhUm24ly9aVtGfziP1onSfkzoOEb3bTu2fkxoi+ziw3kZn7qa5WsuxbWeXa +JftZq6gsZPaD2tucR4IcXVd1a+qZH9gh+/ZLzCIz38Pz9cy5m5z/VVU2ZvbL +nu4whkEcgLNyYO7zwjk7OPdZ+y51Div226MdxirA4x/vsC+1juzQb0rO9wVr +/SF1Xg724eeqH142lvtVyTm74KULVH6QO9dmvuj3c+f4/Ig9X7ZNuCz1frPX +q3T67tCqnbZbxgWfLyV/p2z/fXjccdtf5bcl5xyDk/9Yck4wMYjvS84zJray +hDyMsm1avnlQ7u/OE/1e7hylUZ3Oa19L5eLU+ejgm4+ozZm5bb/ZJefx4FN/ +nDqXF1uavg/J3T9n6L3M52hh6tx0cGTOzTuZz86Haj87d47Pw6JPEb1LarwS +HOfLdueFcP7AZZHf76SW4Zz191Of956i+4SuBNMEM/pc5eK6/Qj8CXTjnJBh +yLbZqeUb33yo7O8+lDk3lFy/Jej/NuMH+Ba9W5yncKz67Cv6GJVH1V1/ZN0+ +BPXlsP37txi/nxy++VPinePrrj9O5Ul6Bok+se67E2Afh9WMd+C3P9FhfY+P +jZ2ML1JpMVZyeNxTOKpmDPLluBdziPrq5K5B3e+9HO9uEvjYYx2+dwFutXHN +79AO/31fvZPr9z4qJ+lZRfThddvq3GcAG8q1Jg+XHGf4DN6uOv68p9plarOH +yna1ebTkmB53JQtx36Gi+odKjiF8rLJP1TF/DE3akJdwQuB7z4BVq69N9N75 +dd/T4L7GSZ2+B8J4PmKurf4G/ePzMea28OFYB2I+h6rdSqJ/W/c9E/Cdg2vO +D1q/xTYmPjFtuu6X8V3iLWBlrAl4Gb5UrcVxwlk131F8UeVaHb4vPbrDmPDM +8GtGdvj+86gO+zozYw3ZkwnRZkSH70Wv2eHftPsgsV1xd7RnXZCzyNjXar4X ++jr4p/h1zdR3Sxo6fF+3m8rhqWUv31hW833In1jX1HXs+ds13yN9R+W/ar7z ++e+aY1n8HX6YoPWq0r7umAdrDI76dc33e7+p2ScutvhO3JS61/NslQM7fH97 +UIf9Wvohd3Ui/MGdXpWDO3zfe4jKA+te2wPq9rdoQ/5m2uH80Tbyfjt8V3wN +ldUOY3ztKrt3ON+0ReWwDt8VH67y+5rvLf+g8v2a729/oLLS4ftjOftV8/3Y +j1R+VvMd6c9Vzqv5rv58lY9lvnNCbu98lb2qzk/5tGQ+hofxXTjLxIX+WvU9 +w4PU/6lVY6b7EgOp+i7iEaL3bje2sk+7fZ2hLY65nVT1PcNd1ebyqu/+nSB6 +z3bjR3up/EPd7X+v8sma7549RW5szXfMHlU5s+b75H9XeV3V9wxPUT/P1nyf +7Z818w33mcFT7qj5/vCMms8T9fBdIc4X9P013z17QOWO7cabdlK5a7txqN1U +lrCR4h7HwpLXi7Wq6uw/UnIsd8e6eWYHlSdL9na2+Y7c/NR3jYjxd1O5Spsx +06cy56aDh45vNxa2i8onMt/9IP+XfMYZJftV49qNne3c7jPEWcI+5x7V6pnj +AdjRE3Pb0rfUHJ++teb8x7tL9snISby/ZP1DLuQ9JftSH6lcVHKe1G1V35U9 +q8NnhPjF1om/kYRMewJdWXX+xWOiB1Ttq3ZoTR4vOQekXnY72kzTumyofqbW +LS/7Vi0zaTuw6vasZb+q1xM8CdkLJl8r+xv0zxh7Vz3OL0qW18jq91WuUnVe +1VzRq1adV/Wu6JWrzvnau25ds1fd5565cPbBzxgbWCwxFuZL7hbyvn/VMp+8 +V9Yc2bVCq/Oxyd0k33CdFuePzA3dQD1xn0Wxbifre8NF/0llqe5YYLnu7yyM +NtgFCyNOhC5avRr5uXX3f2bdWCP9EE9G7i6OON2EoJG1p6vdaNF/qTtHEprc +BHIeR7Y4znxa3fSpddtZxICfjnmhe/hd1hhGl4wxYpf9Nrdttq/K9pL9K3iW +XHBwPPBs7G5yfsBxsfexzcCYsfex2cBTsUmxLeFlcoLB+o5T/yNyy3KwW2xV +7D3OH/cfwPQ4l9xtACe8Hx2RW0/8K/f9LnI+3xF9Wdl3aiZJpy5R+8NVrln2 +fTDwlnfVZmQ57tQU7NOQO7SfztG4inEZ/r5zxW1e0jfqVeNayCruOYBHnaA2 +Y3PrpZfJI64af3tbdZeWnVe8j/rcpOJ4FGPfPvX4mfcOqef+Su47aeSyziuZ +d+HbOSXzNPzMem+Se81f1Hu1qvGuTN9pr5pXt1KbDXLrSPAh7mmAoU0r+94R +Pjo+Dbn2yCX8kk1z+ybgEx1VYxTnlX1/CX8UWc5dAnAt9nnH1HsN5srakpMF +btFZNXbxIn5N1fG9WQSdqo4HclZWCL76QX1/k/vcvaA2P+eOybwkuqHqOOSH +kmdXlB0jmCP68rLx//miryw7XpCq7de5Y6nwwkll80OL6r/MHdee1un/R+Dc +un279TP7d38r+f4hcaxWtf8qd7z1Bu3D8aofpn6+UnlRm/GXtrrLKZ3m08ll +8+rz6uen3HEn8gCIXX2s8kT9/caK8yxWU5sfc9s5+6isloxtDWfeFds7A1W3 +JLd98nNqfxhfGFmCTEGX3YtOLjlG/ZzKZbljvH1KXlPWs6S5/C93rCwX/V3u +uPenmve1Zcc7Foq+quzYymLRV5cdD/pY9DVlx3GWlnwPk7M8S+NZmjuOnKH3 +c+cL3Kq1OTjz+r5XspxFxoL5cyefPJa/lT1Wxvm6yh5V59XOhMdLjsO/UfIe +sP5vl7yv7Omdou8oOa+hVPa3+e5bqitWnWP7Tsm/oXtrb3oT2+t03+Wq+7+u +bD6Dxy4RvW3uexltZa8Xa8V53S73mUV+bJ9bhlxfNk/Dz8RV6J9cqhtU/3LJ +MWTG2Fb1OMtlrztr/qrWYIfcuD+8PC43P4Mh7ZUbRwLD2CU3jgFGtVtunIr9 +2TX3HoF57Jwb92Cvds+9X2BOe+TGnd4seX1ZW87H+NxnhD3fO/e+v6b2O+XO +N26CP0vOzWwUfUPJOZ7wV6VqHntN9H9LzomGL/bMzRucxR3ziMfp7/8qOYea +uAx3Bcmf7NlpniWudbHab5P7TgT/P8NuqfOvyKXfPXVOFDIGHA45w//bsGvq +HCTiU/y/D+Aq8NQewVf7ivc2rThvDEziVxXjEsypZzVyTovGYpGBYMMbV4wP +E/vg/4MgT49Y2JYxHvL6t4rxEM/aIsaA/tkptQ7aG6y64jwC+tgz+kEngBei +Fy7St7bOfXfmpdz30okPvqK/r1S1H/RqyXIKGXWf6GrVd1ln5b6vTryAmBR2 +HBgLePCGFWPCr+e+98tdGPLZsYOoJ1caO4h1eDP3urPm+D7IM/yfEcj2imP0 +L+e+f849iLdynw3OBbywYtX88GLuu/TELN7IPTfmhewbHn4XONrI8Nd4kMH4 +dci5v2eWddjdE8PeRgd0hu98gfp8quz7pWAo4HzEodbt9P9TsJ7KMZ3+vx7W +UXmO2j9eNt9gT4MvEi/DNm/LbJ83ZNbl6PGP1bYlc6ziPL37ZNl71heZkzn3 +4SzVP1o2z3FXuxT9YL/3yKwrV+VOVsm4+1S1f6JsXvyvnlmZ852IYwzMjG2s +o7bDRL/dauxwhcz44eYl46pgqmCBa2TGA0chbzPHcMGkwFCJS3JHf3DmeCqY +Tf/MuA122ZDMttnoTv/fEGt3eoyDMo9zkOiVMseF6m2eM/M9W+N/rOxzeH/m +O2nklT6e2V7BVtk/N6bJuWMO/P9cYNT3Zr4jR74pem9+6D74ALsDW/REcMey +z8wu+uZ6mfMbJnBvLnNfD2a+z0Y869HM54oz9XDm/0ePHBwwUNaJvIjhqn+w +ZJq78pXMuSbgu+2ZMd4nM8sFZEJP1qrk2PRKbV5f1nZ15FXqXJt+JZ8HzgLj +mx/fele6fonod8DUy76PR85bVvHdP/IJyYWjDbF3/LlqZp+Ob+aZv3uM1uHv +Zdt8YPxDM6/hKW1eF76JzfhZbrsRm+6T3HYd9uanuW3O/+j9FzLnBDL25zKP +/9/qo7nq3BXkyue5ZQt6qVvVuok1ez7zvPqCM2fOn8fOWpjb1lpN9b0y36kl +JtCUGZecWfX/5bRdp/VA96p1wSuiG6uOhT1QsvxCdv07NZYKjsr/J7Fi5vxh +9ENT1TqiVDJfwpMdbf5/B4glvtolpwq2NT4Oe4P5fZF7jut3+v972qDTmOjK +mXFR7KbFYTshV7Az8b+eKlnn7RN2VGfUX1q3zFpZ/TxZsp5GR09WH/eUbZdz +dseUzPvY19/ntrGPx7cu2w7Gtl2Q277FvvsobDximz1jbEMiV3NW3Wu2KPe6 +NWeWTcil/wfUaWkg + "]], PolygonBox[CompressedData[" +1:eJwtmmegU8UWhU9C7gVukpPc5J4ECwhK70VRKYLlWcCGBQsggoIiSO/28lQU +FUF99mdHUQRFREVQBAtiVyxU6b1ZUGm+b73Fj7nsNXvPnjkzk5m911Cr96Dz +BsaDIDiRPwn+TWaC4IZcEFyQCoL5ySCYBR4LfigWBOdTNzgfBJ2we7AkCM4s +BMHGiiCoQ9sJ4E3IZdhfl7Pth7QfiP3p2E9E3wn7yuhHoD8X/fvoH6TNOHS1 +sOmD7Tvob0T/GP1diM0vxSDYX0b7SkGQRa6Kfgz689DNo/0Q2nSm7cYqQTAd +/QrKPuzvx/555Lexvx77R2L+pufprxsfuqoUH4znZkolcAXtr8B+Pfoj+Z7x +jGkD8su0v4f2F9P2DMpb4NHgiTGPYSI2d2LLMIJe/OmLjyT+quHvauTq1YLg +SuSrGM/hyFVoP4r2XWj7AeN/EzwcPD7mOTm3mm1Xo+uCPA39A+i7oTuTUo7P +LysHwan0WUbfVRn/afT3CN+TRL4O/dHgJvR5A/IM2g+l/Tj8n0P7G6k7Dn1z +9Dcjj6E0RB6Ov3b4K8V+WM62cxnDRfjcgO8djKkrclnBfW3Hxzl8bwg+A/lx +6rLImYLlUvwtRH990WMZAW6P/x0V3jutmOPtyNsok8DNwFuRJ9P/OPq/iP5P +p5Tg7yH8baGPM/A3iHJG4Dad0Y3Efz389wY3ov0HtJ9A+3X4u5T245nDz5iv +h9JBMBV5GO1X4K8+9sOxf4D2nfF9Ej4mIb9O+0m0707bsyjvgm8Gf8L8ddWe +Bj8I3hC3zZW0iWjbX9+Ev3noJ6JfH/eaTSza9xXoG6OfiX4k+vtj3gO7qHsI +XWvsdyLPQX83+tVxz0EKfFPOv4UFrMcz2Fyc8Deco+/Pey83wscodC9QuqNf +Td356EflLTdGPxpdgrqTE57TUuQ7Gd8p4OMZ4zjk+ykdkP+FfVXsn6ZchH45 +9mdjf1XRe7sH+rroFoH3Sq4aBJ8j34VNacJz0gc8l/GPZ/xr4v4NjYm89k3x +NxZ5DONbi5zDR0/8XUubGrTtCa4PHgQO8VeLuiHIL9KmO/Z/UTebtpOxOTNh +HxfS9xxs5jC39RnPXORX6P9e+r+EvjvpzAHfB14bd92/sWmN79H01xFfr+C/ +J74C8Hz8343+dPy3w2Y88lJ9L+fLn9S9m/cZo7NGdcuQR0bey43xMQr5Wvbc +XtZtAP6Oxv+h4L7Yr8X+MOTBRX/b5egboB9Gmwa0b0j74chTKLmEx/Qq8l1F +r9UY7E/UelNXnvCcTEYezZjWIDdBPwb9i5QeCdddwPx0p325ziP95tD1pG43 +uj8Z02XI3zM/XzI/U5jDYcxPTcZYi/F3x74O9j+g/xr9dPQj0F+Dv8Pwdxn6 +eugHgNMJr+HAos8MnR1JcBfwd7T/gvaTaT+U9n3Rx/h97sGmD/Ji9F+hn4p+ +OPreRZ/N1+C/Jf6n8Y15/PdmzK8jf4P9IuyfwX4w9pdjn8e+H/YtsL8UnAX3 +BTcFZ8CL6O8B+kshD6PURt8LfUP0I2Sf8JkyCvlb/H+O/+fxPyTlMWqsmsMe +Rc+Z5k59dAP3o6QSnpP+yOcW/e1X4r8J/kdhr4tWY+yl9pSc7gr0zdEPRL+/ +kut6opvPNxaxH8j3foT8PqU/cgL7T1jrBZF1JeBPdRYw3qWM93DG+zDj3VLh +u1d7ajPy7fjsmPCevwN5LXU14r6D1yGvphwW9522BnkZ/n7AXxp/d+JvOfhH +cBZ8N/gY/WaxHcoYFjGWm4q+W0ZSdwK6Y/Ub1tmDfjH61vpG8Ajw1+DjwIPB +14GXgNuAh4JvAa/VfmY+qlf2nGnubsF/O+RW9HEb8hRKWcJ7tJbu2uj/P92g +Fu37IG9A/x5jnYH9RuTVjH8Z469F3aOM/17qOiV85k1Avqfo3/pYnJzEWE6O +fDYn8XcK8q1F9z0KfYcK7yHtJd0xaeSzGEPVhH/zA5Gb0KZ94DOyaeQYRrGM +7vAc8gk6L9BXwX+HyGeEzoonwOV87/HgIeAbwSvRv0mpwH8f8FvI71Ai8NXg +2cgzI+vitPmI/fAL37uE7z2E753E906P/NuJoV+A/t3IbSuBPwbPBRcS3mMf +IH9KORQ8BPyZ9lrkWK0eeBDyIN35lb1ntXen0t/9Od+9nSm3UNeosmMsxVq6 +I3VXDqL9x7R/vMKxo+bo2rxjBMUKd6P/Df19mqMqXiOtVVudkehvR78J/X8q +HKtpDvvlfYbrLJ+kOSh4DbWWj4JT4BWM7yfGl2c+7k35DNVZ+jD6ygXvWe3d +e3XH4L9f5NiuNviayDGSYqU7FQNF3gPaCxPA+8Er8f8z/gv4n4D/oYw5k/AZ +Mxz5WPZE46R/g/otPkv7S5BX0v5c+n89ZN2y7GvuhyfwsQtf06h7nDa/M47X +kBegfxn94+gzisHo81LkJ7D5DfuZ2DyJ/Bf2DQ6eCToLnqeuYd6/Ae39F8Dl +4Ay4W8xt6h/cM9orz4Hr5f1N+pZnwb/i/43Qfe3Gf7rguVUMqlh0EWMrUDrw +m6mPz5rl7E9we/DX4N8jr20r7HciVyl47hWTKDbpTd2BEsf0vZArFbyWHdD/ +I13kuW4L3oP8Gb6zlC/wXUrJIWcobenvc3CdvM8snVVPaw4Z/9uM/ynkPfSR +R59F3z3munLixJAxT4j7DmqJXMh47vrJP/oMdQ/GfQdWo/0X+F6Grwewaa7v +zXjurtb3MpZ59NcD+UHqmqKvyHgur6KuMTgPfgbcV+uJ/xR1d8V9R15F+1uo +q1vi38Gh9Pcl/a1QTkWbw8FfKU9STAxuT9u3afMw8kbq6ua957XX1cebjOVj +9K+wf57E/9HYFzPeC9eAZ6H/BP2r6J8C1877DtDZ/19sdjJ/H6Jvwvh24b8G +7eeDX8J+FvZp7NPYXxLznv078m/pWNbrD51/fEuaNuPjjjE2468y7Y8H78Xf +YchJyn34+xR9VWxTaY9lOnWVwcm0xz4NvFFzn7U8hLq/8LeUb5ia9Jp2yTmn +US6ziT4q0b5q2r+dqbQpAZel/Vt7DVyV8f8Yem+/Spvv8L2aPgbqvEC/G3+L +0b+S9G+uuvYXeLV+m9T9if6n0G31m1pK+w0pj02/6Z/A65RHx/wbXgHepHMi +5jXZjLwy629V3WLkNdQNinmOL8w5h1TuuEU5Qs45sXLhrbqnGM+S0L99zcH5 +OefcyrU3o/8Gf7/g71r8jcdfG75/B3gEeBn6T9EfwH4heD8+TqB9p9DxanPs +mqI/Imu+4ARs6iKXUp5G/xG4Nf720r5N3HPSGF0NyvXgH9Gfiq/m4MXS63sj +n+WN2R/rkRuiK1Imo/sW+x30Xw3cMe49viPy2dsM+y3IZej20N9ibD9W3A/e +p5gF+8/A6yLHEg2U8yveoP9erPd6/C+h5Aq+a5XDKpetoH2cspH274oz4Hsq +gb+KOWZ4AVyF9m/RtoXOSPBI+muq2JPfZztsf804HliuOBB9ZexnYr9Ie5Dv +SWHzPb6aUf5AnklZGneOfjz2b2Z9Vqzle3cjf8iYL0P3EHWdaH8aNm8lHZNd +nTNHIW7ievCAnO9g3b03gs8Cn4X9O0nfSX1zzrGVW18Xc668HvxkyjmzcqN1 +4CdSzpGU624E/zflnFe57QbwUynnuEdwn9VMOgZTLHYm+s46g5K+Y6/JOQdT +7nUDeCHfc1jaa6M9UIr8W9a/rX9rvbCP676h/YXgzuAz8Dcr6ZizivZH2mut +PfcFeBm++4PHgWuBo7TXbjnlEO3XtPeSzpQmOmtCr732ZBPGXy/pmF+xfzNw +fZ3j4NHgFuAGSXMq4lZWap0Z0wtl/g0tBV8Gfq7MY9iiXITxv0ibxazfcvQ9 +lT+gH4B+FbgX+MUynykvYNsb/DNjOQ3dNvmi7qWk75Rj6L9R0jGvYt/t8oX+ +5aTvgK3gZ8GTwUsCcwdrwI+lzCG0on3DpDkfcT8NwHWSzqmVW9cD1046Z1Pu +1ghcN+mYRbFLe3CzpDkScSVtwU2TzomVGx8FPjJpzkvcVx3wUUnnQMqFzgbf +kXRMrNhYXMBaxvd4ypxAJdZmZ9ZrdyvzsRF9ScZ32cXgBPpd6O9Bfxu4BPxr +1mfX7eCAvfEJ63kF8mO0ORk8F/2jyNtR70P+SL959I9QdyL697KWt6L/B/l9 +nYlxc4T/Qv9B1r52oo+B54FXxc1J/o38DmV53BzOHuQF+L8c+T+02Q+eQ1kZ +N2eaZ7xZfDwKngEOwUnw7XHnlM8xJy+nfbdPQE4jl6G/Ie6ctsB5/nnKa6vf +REN0uYxjmT7o2+osyPpsWI/Nn8izsj7LxSkeQP6Y8fWOeU7qY1+e8V1+pe5L +9PPR94w5ZuiA/t2sv2Wz9h94C/0Pi/lM3YtuNmVF3BzolTnvYe3dseC7kJtT +1ypl3vNscYnymXQOco64T/DspHPUwTlzbuLabla8iO+KtGOJJZSv1FfKvx3t +gYE5c6LiQm+ibj24UsaxV1fwBnAi49joIvDYauZSxQmNQZ5OeancY3tEXBO2 +h5T7PP4MuxHidzMH7zrdu/g7EDo20pjvAh+L/UzkA4HP9ufBzVI+40dlfCfo +LlDdZJ1d/Nsy5TnR3VGNuoVJ3yHVsS+Wm19U3VidHeDeVdymLd/fRjFDmWPA +lsinhb47VXdJzpy7uPZtrEmPnDlDcYU7wCdGzi3F0XeMzNGIq3lVHFHBnJO4 +p9fALQrmSMSVXA6eGpmDExc3VXduwZyfuL9XxDkWzAmJG5qiO7ZgzkncU5rS +A/nDgrkwvQHMQ/6gYG7rNPD7BXMe4j76UjcrMkcirqQH+KXIHLe4bnE2oXL5 +ork95QgtInOU4irF+S8vmtMSt3UF7d9AvzQyt3AU58+PkTliccXTqTum4DcD +vR2Ig708MgckLmiacpSCOVtxt0+C8wVzqOJSU5RuFeZcxb0mKZcgz+X3ujfh +M7WuuPzIXIQ4lb7IXdHvSvhMfCNvDl1c+nF835S8OU1xm3rzWFk05y3uWzn0 +s3nn9Mrtdaa3xH975XMJc2h3Iw+InKuK0+kfmSMSV6ScszX2p4A3JsypPJY3 +hykuU3d4DfTvgf9O+Ew/EjwHvCfhM702+H3wvoTvkPrgBQVzueLk52t90e9P ++A5piP5D8D8J3yHtqplTFUGjO7ZpNXMQ4iJ0xzYHD4nMLegNZjDyPPQHEr6j +G6OfWzAXozeoOcizi+aexfE0w74j9usS5iQmIrdV/powx3lr3jGgYsGbwWuQ +l1NuKPWYNfaFkbkOzYHm4gtwdeTh1H0VOYdRLjNenCny7siy1kBrsQs8rtR9 +qu+94PtLPSaNTTmrclfV7UPeXDQ3JU54k952IvelOdfcLwPXTXiMK5BHKD9H +bsicjRQXkTd30ECcmt7SCt5L4uDFxQeUiaVec629cmjl0qqLofsWXFPcGvj7 +yL8R/VbGgn9G/imyrDXX2n8X2VZ7XHtdObxyeX3zr8jDGEM9xlKZ0gV5K3V3 +aOzYtMk7xlesf5vGhHwBNlVKzAmKGzyvwm3FKYpbVBu11RvUWORvInOHWhOt +zcV6cywxhygusavexErMOYp7vLTCv01xaOLSxCGLSx6Aj3m0/yUyt6Y51lwP +zfutQ9+gb/khMnepOdJcda/wb18cpbhKcczimvth8574xsjfpj2vva8cRbmK +5mCbfo+RuS9xuuJ2vy46t2rPuf2Efi+RxyYOTlzcZRU+S8V5ifv6PDLXKk5O +3NycyH2LAxQXuDry3tZvRr+d5zQHCe+ZLgXvEe0VzdGFFX4D01uY1uB8nW0F +n+16Y9Jb0wWK17hvpicdIxyh94XQsYbqtiuOyzq3HI5+p/KIrHNT5ZS7xUGD +t4NHg5sWfPeI8xL3VVHw2ao3HL3lHIX/HaFjtzfFudD/X6G5EuUU54FXgacl +nRMdif3W0LHcDMW53J3bUh6Lcqp24F3gkTHHbCeAfwOPijmGqak9GZoreV0c +MnhT6NjnDfFdynuyzq3lo6vyn9C2ivl+R78p67tXPi9Gvzl0W8WcDQu+G/WG +pre05gXfpVoTrU3Lgu9evUnrbboF4ztwMLYRx9QMvP9gLidOqgl438FcShzK +VuRVWXMbitFaof/nYCylmLMe+O+DsZliykbKzw/miuKYuuX85q+3fq1RA/R7 +DuaGilHPRb8iNLchDquGzp/QuanWoA/630PHospJLwVvC70WijmvBe8LzZ0p +BuwP3hOaG1NOehV4d2juSzneX8qBso5dxoifKvgu1pum3javwP7X0LGrYrDu +4J2h94pygNYF3+1689LbVx18HRma6xPHVJ3vqwH+LTCHVQ99ndBchziLRuBv +Uo7txHHMiBxL6M1Jb08l4jfT5jrEkVUFHxWau1IMdz7+W2Yc64tD6Aj+I+W9 +r5xgPfLPWXNN4oBOQv9nyt+qHOTtyLGQOH5x/SfxfRMyzo2UQ6ZpG4bmxsTR +KHacnfHbtPpfnfMbnd7mlLPrTUhvQ0302+B8Ob6aZb356u1XnL+4f+WYR1fz +m73e7pXjtQGvyPkNTG9fytlW5vyGp7c7cQTLc36D09ubcs5VOb/h6e1OHMEv +Ob8p6i1RHINi2zEZcyeKcXWH6S7TGX4R8unYT8qYCxAHdAr4gYxzP+Xchyqf +zzhWV8y+Fj8/ZM3liSP7Q+NlfqYkzUFW5nu+D82di7Orjm310NyVOKMS3Smh +uUy1mYH+mdBctXL6BuAGobkacVBHMP5FKef24rjvpL9MaG5LOXwl8bGhc1fl +6PvRLwzNZYgTKMdf3dC5pTjrU/B3eNpctXLMU/V/SzLObcUR5PW92NeOmYN6 +LXJsrjdhvQ23Qj82ba5JnNbLkWNnvQnrbfgf/C0KnRuJI4gppgmdG4ljUO5T +M2NuSvMpzkPch/5PyFjk/wElKt75 + "]]}]}, + {RGBColor[ + 0.3896422375, 0.42122897000000004`, 0.43963299499999997`], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFm3m4VMW1xftC39vdF7gg3X1OK06oCIKgIKBMCsS8F748B1DBOKEmzmNE +uAjIjDIqCGrEkIigKLPijIqKCr6Yl5eI8xzA2SgIiMODt36szZc/zle769Sp +U2fXrr3XXlXd8sJrBlzdIJPJ7J/NZBqq/KCcyYyqyWTeU7mpeSbToEkm061x +JjNW99vqmqDGB1RnMt81tHy/6rZLniT5Ack7JU+R/JXk6ZJvlzxMcgtdoyU/ +oj5HNc1kuqjPlrr/luqqqjKZd1Ru01UneU38Rv5Iz02O/pfsk8mM1LOd9ex3 ++v0mA1ebSblMplLtvh5V/yerze5GmcwTtZlMv5z73ah+psTYRkk+TNc4yXP0 +fY+o315q/191mcwqyT/quRWq/5v6mVzIZC6U/IrqP1X9+5J3Sh4kea3k9ZI3 +q82v9Ow6yRtVv1R979K7Zqn/TyRPlTxD8nDJB+oaI3l/jXer6sdLHq261lnL ++6n+W9WPlTxCdS2zlher/Cn6aaE2Wxp6/K01hh/03if13l/pW6tqrJvb8i7R +z5Oay0tU/4zK+kTvVrvhKp/V78tV/4LKkyrSo3Rwsso63Zur+uYqV+jeBZJX +qTxPv7dLHqzyIl0Z9XOxyqt11Um+RuXHajdGbTar/ETXeMlfqJyse8eqzRSV +l6X6To2vld61WPIGyQdJfkTtfqf2T6i8WPWp6g9VfW/pd6u+5Vl9y1rdu0pt +1qkcqL4+kTxI5TfSzwzpZK7arZSczVq+Sbo5S/NYks3UV1zOVdlXffbRldPz +7VUeqWtJ6G2WrsWSO6ru6ILt52z1MVF9lfX8YzFOxovd0RbbHqtxtNU3jlO5 +b7X7Y67P0bOT9OxnemZ6E/9G/qHG9r1Ubb5UX5P0+xuVn6tuWtjPVrVvKpse +ovmdnvV7fy09JPo9UuPMZT1vyH/JuBwRMrY7RddM9fWQ2t2JDTBtGl9f/e5T +ymQe1vt+0P2jJK9Q3Ry1WaE2y/Tccl0f6V6S9+8PJXeX/JLkX6ptA/VzvMre +evb/1E93ySdIrs+6Pc8ukzxLfc5Xn1nN6Vrpp2Hq9TY5xnaN6l4NPdYVbJ+7 +Vb+yYDv5Z0OPBXugzz+oz30lf9zQ95F7Sydfazwr9exXKntVW75JbebpfZep +zdii1pburVL9N4n749tOqLJdfy95W8wJbfA7d2Tdhm/Hhzyesx/ZkXf7HZK3 +J67fpvI9zVczzdeV+r6/8l26atV/TY39EbZ0S9br8STVX1drn9EJH6f6L9Tn +vyRvrrH8dUOXX0Y9dr4uZ1t/WTqv1u9jpPOny9ZZR8mF1G3yKpfrflXWfniC +ynnSy4UZ+2fmAh89tOJ10FN93Jb1+uqvsc3M2j+cIvl53Wug353U/wEay8PM +U97rj7Ex3jt1/9oa6/MGySsKnjv0zPyhx5Gqf0jypob2m/itTQXXPRz1zCfP +Mr+UK6Mf3ke7jTHv1NP2QdaL3jspY11+FvrcqTF31b3jS15v+G/8SF1qu6tV +/RLdv0X3ZuvZx9X+Z9Ufrfo3Jd+g+ndVDlf7I/SeoyqOi8THj8pen6zT/fS9 +g9XPzZJzVba9m0L+odbxkt/dVU5Q2bDK84HuD5A8Tc92UP9dso5z2N0+VY5V +2FpJ8vF69pqoP0HykKj/vtbxYKJ+Z3O2Udp1U914lQ3UZket4wrv3l5r38S9 +3irrmR+16bG3D8k9JU+SXC353NR+Hn+P78EHoSNiwtSsfQcx6acYT05zUqOr +iZ4ZnDou7IkP1OlqkbPtswaw1+ObOb4yN/eo7vN4b72ePVw6GapyZ63jJWP6 +o8pxrBPGkNpXENOYi13xLdj5eF1fMia9s6jrCLWr07rcX374Va3Ng3P2s3z/ +FRGPiEvYJ3EXG/uTyk9DJ2OyjtP8vl7tDlX761S+p2ul5IUqx+neBl2t1H6o +2l6v6339bqJ7r+h9jVXeWW3/uNePYePgH75pbHz/HdV+/gPJzVP7kWYqW1Yc +K4mZs6ST5Xn33zxnnIFN3F3tsX5GLJR8o+RPJPeRPDJsta/k0WF7v6j2uA/F +BnL2L9w7Medv4V6HnP3FyIivM6L9TPy4xjAjdLBC1y3MkdpuDjufG7rEDv9Q +bb/AWv69njlY7a9JPcZR8cxd1Z4D/MDVqX3NlanXC36M8YNN5kjO67o6cAv4 +ZX7J+j1S9nBfybroLHlByf0eLXlhyXrplNj/bApscX/JttVV9feWPNYOku8p +eT7aJp5jvvMDledpDJOz9v/Xhb8Bt4IZFzZ3bDufWFdjnNs4bKBp6rlkTj9K +jT1ahg3siScRg15VP/PVz7OSb2xq3AxmHhrron3FukOHR1Rsi9hku4r1hd5a +S/6H/NQw9fGGyr/qGiL57yrXl+2rX1W5uOzvWa7yPl1nS34QTNjUeBosTR7w +WHPnAi+pfq7kqxrbxitZYzN0AG5HD4tKjjUl9JZ1HKP+AfUzrM52M1vyxVr/ +PdX/RWq7Q+22qd1FqbEimBEfuDP8HrqorvF7duv5Xbp26/fZqeM3+BT7BPth +2y3AD7q65hzHiGfEsN+mxmngtSXNjaGJQ0tDD+gDbL0lbHhR6ATdtCwYY+Uj +ThIvicED9Hx/XaVa4/Vvw+bB9FvDh5AvfRf+7bd6Z69mjlVHFZxDke/USzeX +NbOtTGtiO+C7l2kuz1T99Ir1d2kz63BQM+cw4Km5ReOsE1VOUZubde+URo7P +X0SM/lH+b4Hqr2jkbwJzgCuYK/zmV5Jv05gG1nrO+qeO8WDt2ZL7gI9V3hv+ +NRexfnj4skMqjv9Pawx/VLtL1X5M0XnYtTljXXIZ4gMxg/iATPz9vMZYEBxI +vO4b+Bz7OqFgGyPnQyav+VDz0Ur3usnWFmSda/xS9fOzzkFOlPznrOP1L6r8 +XO/o5x09e4juHVeyLRHjiGVTi8YRvVTOyxoD9FX7TWrfRr+7l5w39A2/0Tvy +COTP1aad2vRQmznqc3DOOQB6Ib9gjVO2D5l7/CZH6BD11PFch5Cp6xA+AhvB +VsAI6IX3oo/7ss4dLsu4rnfUk4+zPlg/5IUTc64np6GfuojXzAExfVvco54c +olzrWPaW5v5unk0cS4mprCPWUCliK/aErW0seJ0Vow33kPHd4Ja7co5Tx6n/ +Y/PGmawd3kUuw7j2q/U3gnnuzBnPLIIH0DfU6xufU5tOeecbL0vuIfk/JH8n +/XdS2atkDE8/2BuxgnXLmv1A3zBffb6fuI+OeePwGVnL3bL2JdviXbfqd2fV +98qa66CeecCn4FvwNfgAZPzAG4m/8XWVL6iuS945EphqWc4YhrYtov17avdn +1b+bOC4jj454PS/nmPtOYvntxJiNuQC34CNbhH/jPYwTrI5/Ij9kDlvUek7R +A2u3d95rpGvFbdfJzj9Vv4vBEOik4vzypaIxIfXgws4V6+nlYvjdvNcLXAeY +Dux1XMXzub7o9bQ7/PPhqu+D/y4a4xObiO/EsVZ5r1NwAvgerHC02vdT3YtF +Y8xd8S76Qsae21S8LtcUjRvpB+z0VMFYvUPWeBPcCc6E0yHOgE/wrfjLmYGT +F+aMh3muja7/rDJevjhvPz5FfbXDVlQembfM+D5O/OxHKp8u+B72d3PW/bTP +2s5fLNjWwap1gYHvkm+8SHWjisbjyKz3o/LOBZgD5q1jzF2Hise1Vu3bVuzP +nisav2HP4DTwA7YLJgGDs7Z/Dh+bC0xOrnBJ3rGtHPGKNc7zyOA6/A/YBZ+D +LYGvWDsPF80rDCza/2NLxIC5qXV1o+rXF2xne+JI0X69d/j/jsGl7LGNyNeO +rHj+ny86t6iJMTNWZGLELTGXzOMjBWMeMG3Pim35haLrDsrbJrqr/nSVrxSN +iQ7JW1/oH90TI8H21IPnqaP/XYFd6QcsSs5B/CJ+351ab6PV57MFzxO55SbN +/SLyLpWPFfy+zyLXo35C6DkJ/4YN9gqc/K+y7bRnyW0GxHygP/SIfrFJbLpN +rO/nC/ZF+C78ID7rcZVPFJwTkUc8HjK+GR+NH763aF6nn8rX8s4dduv3yY2D +78w7F15TsF/lOXw3zywPP14V64z+WWtPFjw2vmF54H/6pI/noh/4H8aMD8RP +46/hkMAa6wq2E9bT6oLXF3Xro/6ZgnXdNWyNe9gb+f4zUc880KZDvH9ljAF/ +iP9FZ2sLXoN9w8czvm4xrhdibMdGuz5Z82Broz28GXwX8YUYxDhZ4w+UjZva +l5xPwjtcF1zGxsAY76ee54La/G/ZHHtXcpGscTic1d1Z43P8I7EF/E98ITdd +kzO/AEYDq8Ej7U5cvysxrwCvBaYEl4PT4Zt+1L3V4JkkcpS8fQLxmbyR8aEr +5p3xva6xHYQOSuathgT+A9Nsim/5MPX7V4dPJv/HB4I9ngwb6B82jJ3Pjt/I +pcDG+BbsmPb4Rvw/dotNDQz9kSMwZnA4/o68lm+BQ4cj2BxY6y8a876616Vk +7D4odN848Vz1Vf2ysr+7g+TDKtb3M0Xj2oHxLub25Zhf5vbpmF/8Cb4GXzCi +aGzVvWi+F5wKRiX2EoOJ4+D4ZyM3WVXws/gofMyjBfuZMxM/O7LoOvwFvmJ2 +3rwzfYK1NweWI49/NNrgV2hPf7OiPRiY8fE+/BXPcw8uGr5yVrQBq4Kn0Rux +lziLvaGzKwKzgfkvb2S9EHda1P4bi7UIHEUsAEcxp7NizfSJuWZNwwlvSIzZ +Xkvc35XRJ/kuXDT2+UViLPQ5uKNoTvoUleOLxlw9ivYV9IkfZ+0SR1mP5BDw +5owH3YN9eJ4cB92xJsk30SHzDK/Mvgh7IR0Tz8kRJX8zawH+BE4f/YCpJ2at +C57Fp+ErabMhZHzLUYnxSxv10z4xn9G6ZPsbFOsLLIAt4duOSTyHbUv2U/gu +uD7mkLlnbIxzdtgAWGBO4AF4mFtrzcWA3xnjm7E30S/yqSMSc0Wt1H+7xNzS +4SWPl3FzD90zB2Ae+JZVYZ/slaBDcGyXxHGjnZ49sOJvfUpzcWzZPEbXsjEB +MnttjLsqxrNPYozQueQ1QJ4OF9C57DbHqJyTeMyzySMS+/gjS8bncDrM9aWx +78P+D7wi6x5ODx4em8aeWfdwzeSFWyLWkqdjm/SFfd6gfi9Q8+FF2yf19A9u +IVcEN+A3weXk49MCc8MvwSnDzeEv4GLJQ+Af4Hfhdsl54SluV5tG4KWSOfUb +ih4vGJ0xgyfIK5Dhccl/SsEV8yz98Q18G9/1beBReANsDm4F34utkMvBhTCX +cIPcBzfgd29I3d/gGA96Ys8VP0C8pJ4xswfLd5F70jf9nJ3xGK4P+Y7QLTk8 +fP0dIbNuiS+sD/AQuQGcBvO9hwup2P+xv8bcL43YD9bivYznnIzX9OyYC2IC +MnGBdQEP/uvgw6eHDAZEBgcO1bvOVR/XS8/Xl9zfkKL3csFzjId4jA84NTU3 +QP7PfWIAseCs1D6U9mBCfAD7yax15gqsSZ7DGmAtDEv9bsbE3P0p+uRZbHcP +zk2NH3mWOR+m+vM0tqFF+0nyQ/KiSYEp4YRYjxMbW6/sDRDL4YfIQ8gH4ATI +u8DrcFHkjPTDOgVTkp/AMw3Xu87Xu+qLzrPJvcFpCxu7/8mRe8yKMXSM7+Qb +s+HH4crq1c9g9TOs6OfJe1kLrHNiHrY0pGQbua7o/WryLtYOc1sf88t+Nfw5 +398u1lrbiNOs2wEl+2Z8NDEOzAH2GFgyFwMnc2bJOAm8dHrJWIH2xOtzY12z +vqm7L/oBUyC3jzgOVgNP7oz8jfVbH3bI+hgUc8Rc/Sa+HR2Ql7DWyE3w3TwL +zqGcGjJ8E7Z1VslxnX0B5hSdIDMf+Ff8LHH5tLBVbBYMC/b9MvgcckX4Fn6P +j/ULDoRrIBbS35joE8zNHgF2Ag8FH3WOyjNiXbA+wAu0Z1zgPrDU9niO3ADd +gd+R6Y+5GRv15N7MHXaF7hjDpDgvwbego9MS8+rw6/C146rtx05OzJPDl4Ov +ySXA2Kck5uTh5uFlwFajUu/jwfPzztMTc+9w8HBlcIlj4vzDyLAl9gHhGbl/ +RmK+Eo6ZttTz/fBu2Nx5Je8/18dcc+ZieLTpHzaMLa+OcxGcjyAHXBr+iv1s +coJJGuepifcC2BPon3gfgf0E9rnJb8annmN0xDrF14wKXWFHD4YtoctFMafo +BQ6U+AYWoA0+nnwVv9g0MX4Fk05LvX9JrjMm9Z49OGhy6tyGdQqPMyDxvgb7 +G/SN/sm9wdvYGFiaPX54lHNS51PEQuIguQ45D1juszizwdkN8j7qyQGJFcwv +uqMd99iTgdMBS75Wtt1hG9gqttk67LY+8hn26J6LMyecPdm7Zqojj1gY6xcc +CS6By+8XeWt1YpxCPXiPMeJbmO+b47m64BHgE/5ZNqakba2e/VvsfezdAyEH +w79wlueDJsZtN6bGbSNT+zviVlXEI+YH/5+tM0f/SnBzX4UeOAf0QhPnJ3vt +gHi0KNYR66kq8VmI3ZFvHRg2SR2xEpsDb4G73tUYtpbNeX4bJX11irXBsw2C +a8Ovv1i2v8fv79mjKTh3RZezozw0+D7sZY3aT0mNq29OHQeYV2IB/OM3of+X +4rwN526+jjMqnFVhHh6KucB+HwgdwbUTH1uF7SyPfvE3rHH8TKPEZ1EKiftj +7sEx1NEndg/nu+fMVoM4k5K13U9PnRtMTZ2/ozf4EHhAuJ+3yt7/YB1nEttH +2/Bv7AmwN4BtwmcsD9vGn9Imt5dTA3+pn2ZxDorzUPCexMynVF+TeEzZxONd +GfodEecEOC8Ax/1JrPHewYP9VPYZsX515gvwT/hGYgM5MPEU20V3h4UPYf+B +fQjiIrke/BTfSQ4Dfr82dd28qIdHhVNgTbJfCL9Drk+uQs5yVepchZzl8tQ5 +A5jy4Ipt8u6wS/hf8NejZfOwxL2VZZ+ZIIfYJzVHtzj8DHGfcYDDyT3IQS5J +PTdLY+2z3lh3e3EoMhib/WR4TOwTfpc4S9zmHAZc4HmpdTM/9NMm5NYxt/fG +3HEOhlz8d6nPqcB7XRj7y/hG9Mn5GHjE81PnY+RlQ1J/89xYU+THc0OHE2M9 +gdOIdSdGvDskdM53c44D7p61A9cDp3Jr6j0kfP+OsjkVeCI4Djhc/PGSsvkU +eJX7Jd/bTO+tc94MT4Fu/kf1Y1PzXKNV/nfs27J/uyH2dvfu8TJ3B4VfQ8fY +FdwoPv7Tss+RbWnisbwd51s458L5F+IF8YzY3zLmkdyffRQwwCHxrcRi9vbI +CV7RsxNSc5HjUuNKYlsaORp5BfHi1L1Yoejcnhi4pezYTjylz+/LPsOzPb6P +HIQ+ugf38lXcx9cQC8m/6JO5YF+Pd5FDLQt7w+5+jm/7sezvWxzjmxL+GEwI +diC+44dvSs0bTkwdV+kDDMyZ0JPqzJcRa8BUzN/Zgb3B4OQoxAlyBTitx4PX +grN5NHgbOKFVwSmxDwIGwtY4xwS+Ie8cUbKNjSz5/awbxsD5KTDNnjNUDR1z +qB8dtnGM1u+LOdsh9ng661P1Z6hcn/P6Yp29FWcViWvsE6I78vcBatdY7U9L +vVcM5wgHMlP9XiS7XFBx3cSoh9Njz4C9gyT270YEB0TcYC1nw0/mE+sU3R5b +MTe8JrhruNtngr+FL1kdnAkxkrjYMDE/91LwxnBBayOn+THmd1fZ9ocddqk4 +nhHXulXMJa8LLp24xthYp8Sk20M+U+2b6v5vUvPZTwbfPiv2u3tVfMZlD2+f +Om4Rq5okjkPEox4Vc8nPB+c8kLNPKgcFPgQTsKYWJN5fWci5lKLP1kyQPK3o +81uXss9e9Jme34O1iz6rNIJzi0XzQTMT54Bjo8+pYdP4zInxLrDHkqLP9ExT ++5/Yo2KfN/k3nthWNtYB83SseO2xxn5QuUXtHlH7rSqrU9tWjcoJRfNvF6h+ +h64nVP89Z4F17zn2CFKvD9YJecfqxOezn06c/4L5wHvse4PlxwRnCU7HLjfG +d+GHeT/cy+TgMMiRyI/g1+A/4EbIYSZEn5yxZH8J3olxwbfAu7yd+hzeOyrf +jPNkb6XOtcfEu2pjnTRKnY/TJzHl0xgz+vx76vNz/1D5euqzd2+ofC31GbsN +oQN4JPgk9A0XBCf0Rskc35sl+we47y8i5yMfhD+aE1gN/op4w1ojNrCOu8eZ +b9Zotzgj3q1srmVYxf4MP41PeyjObHN2Gz96R/jijXE2mzPanN2B55wYMX9u +xH04SMYJt9clsAPcyO3hc/G38BDgxT2cYWA0sPFrwTUyN6ynnvE/gbsi3hOT +upc9Tz3KjuH3RBzH38JdgE3hm/cL/hlOhbgCrzIk9ggGxrgnhX5YZz3iPD2+ +s1fE6AWBDdpG37wDboPzFINjf7NbYDRi1rzAMMQ58OeU0CcYAL4GLgVsCwcE +PiOvmRXPgvdmhB7IReAqyEf+H3uWVKA= + "]], PolygonBox[CompressedData[" +1:eJwtl3mUVsURxXv4mJmPbWaYb957o8GIGo0sgg47M6AgRknCDrIMu7IatqAg +m8rAEBAiCh4TQU4OyokEIhIlagKocYkhYhLDpsgWNoEgCMiqQn7Xmz/6vFtd +1dX1uqurb183dFz3sVVCCOmsEKry7VMUwvWAgeDe4Iu1Q9hdC1w9hD/RPsqE +8AbfnJwQWkchvFAQwry8ELrUCOEB2oTCEH6KfAmbzjVDOB9jn4tNKoQz4I7o +7sPfEfQHaOkkhA/Qn2TOrvjuTVtIfwf6XgXXYf578my7Gf89iakOtv2Jrwd4 +Az4rsf2En2hGPOdolejmE9958Gf4v4K8Nh3CLnDd4hD2EMtW5OvAS/C9i3h+ +hu/RtBxs3sPfAmyqgE/KH74aMecJcEvaTubKpq8V+BitAtwA/VHwo8Q8Et91 +skMYRXzlxHcKXyPoW4q/QchnsZ9MTBXYPpKx7nvYj8T+VvTPgg8ypjG4Ee3X +yPuRbwG3IOZm2Hdhv5qDZ7M+C7Se+IxY743EMAJ8BfsN4BuxuRr7O7D/AXgf +fdPR30i8e8GTiv0vRYydDB7AHGcYO4oxy4h3OHLI9Zo+rn9Droo8Tv8Efixj +22uIcTTx96fvdMpr8Bzj76XvWuYawPhe4L7on0Y3jPYs+nHIefhbjH4Rvi5G +3rvmjLkAPqQ1Rb4Z+SB4DDGmwZXs1VjwZ/RNyXHO7gRfpj2h3ET+FryEfHyT +f1tE/ozhW0LfbObLwqYpeJvWG/l24q9KfIORxyN3pD0N3kur4H9WIP8HfII2 +F/lV5C/B+2LrWjH+MvHvRl6OfCdyGn9D2J/38z33bGI6GXvsPnAZ9sM5PyvZ +vzasRxn/lGJN3kV/HP2P0X+L/Xzme4u+KzpLxHw/sX9D3+vgXOx/mfIZqga+ +HNv2KOPvyjiHlcvyWRV8C2t2E3N1IB8aav2w/w269sSbS7wLkWem/A97wPtp +s5BfRD4IbkO884n3zRyf4U/pW4auHeNzGF8L+VfofsT8NcFp7Tdye+RccGPm +rMf8dzN/I/Bh+lYxvpTxgfE/pO8a9O3Q3wQ+ovPN/C9hcwzcUP6x3UdfA/CB +2LG1pu8K/3sIeXbKPj8HH6etBbdBXwX//0Wek3LfF+CjsX2Xoc9CfxtzNmT+ +jsx/a7FrlmrX69icBT9c7HOWyz89BP4qtu4A/9eW+Y/RBiMPor2AbnDis1gH +eQj4BsYk+L8d/9eDT2OzLtc5pdwamHhvdSYGgVcS0zjtJ/P1QT+UvirMVZ++ ++8BN8NEYfz/BXwl4i9YHXVv+J8XYzsU+Kx+yvK9kfGZ1dmWzFTyFNhl5qWoo +uD7tmWzXyHrg0Ylrj2rIA+Dx9E1M+cxsVz7gvx26u5i/DNwXm/y0a4hqyf3I +2cTbAvth4Idjr8Vy4llCPAOLXDuHIA/QfYN+PfrD9LVDX8D5PU2+TazuGn0B +/eMp21wSpj2Scg7vAtcjhrrM3554bgZX0Dct5RzdCd7EeXwXf4eqkR/4bIDN +DdjfiX198OLYZ/+N/991zZGfYz2O4aMZeDN996DfTN924t0Re+3uQM5W/Sty +rRrM/5SDRyTOVe35SK0f7XDKMU4Aj0lc65XzY2VL+wh/1YlnL/jJ2HehzqTO +ptZEa1Oomplxzin3VJPnZ1xTVFsuki+zwPmM6YmvJcgFuov497xC36Va0+Xg +ObVd/3WmQ+y9eQqcFbuGqJbUxf9S8NeRa7Vq7DfgNaxZeb7PhM5GNmNeDj7z +Oap12AwBXyT+V8DV6dsYXCNqgPcQz6Xa5g7iGKWRuYXuWN21v428FuX0vQj+ +OTGUB+doZ8ZPQh6kXELujtwkcm3/bo/QPZQxl9Gd2k25mzF3UA3pgvyB7pQc +5+hfwR3Zs5nozomPFJlTiFuksGkB/pg2Mccc5F/gfuzRuZTv9HKdXXxuyHWO +Klc3si6r+b+mfJ/i/64tNvcQJ/m++Eex174fa7gOXBh7r3TH1Y5d01TbajGm +J/4fzPguFSfoGvuO0F3RSPUmYw4lLlWKvBo8M3at0J48j7wpcu0Zzxx/B/8j +MjfQP/0T/HnksyxOcwS8P/JdoTv4APg9Wrcsr9n74N2Rz444xR7w2si1U3v+ +B/AfI9cm3VmvgU9F5j5zkU+Dj9NGBXOsL8B/pnXKModZD96TmLs9wXruBr8V +mfuMRv82eHXku2Qg8u+1V5HPvjjBp+BZsddGNUC1YEvku2US+q3iSuzx1dpv +9mZLYs4m7nYBeQfymsi+tccvReZo4mrn0W9LzHnEfS7qLkSemXHuDKNvIbpp +GdfuYuRhyF2xOYGvw/R1E7+i7yp0Zxn/MfIU7IeyHsvo60W8nfPNIcQdrnBG +piGvQl6Tdk69xvntlG9dK3G4jGvPUsb3iD2n5hZHXq/7K+Naq5rWMzY3er7A +3FccaXvktRFn2xb5DtFdojvqFPbTM+Zuilmx1yDmv+Wag4iLLKIdT/lOWAzu +x5gvkYcjL0GelLiWioNMBn8VORdKmO+MzhZ9R1KuyQ+C5yfmEqXIC8Blke9e +cThxuSmJubk4xVTwvxOvpTibuNvCxLkjfvUkeEjs2iiOJ643jX/okO0zr7M/ +I+NYlRPKjUcTc1HdsY+BtybOFXEicaPNkc/SVdh8CG7GGS5JO4ebgqfGrp26 +Y3XXduK9sbiWuZ7eSJXsZdsC30Xi8NsT55Y4jLjMLwpcQ1Q79MYqLfZaqKa3 +Bn+SOFfFkcSV+hWZ26sm9gXX1h2S8p1SCG4aOze0xk3A3Yscu2pqN/Ao5utN +a8Ncm3RnJs5tcSZxp5LYtVZ32G3g5pFroziPuM/0xHspDjUjca7OID+b1XTO +Ts/3G1FvQ/WJc4p76s2VrdxAf7DQubyC1itx7dMbSm+pothnQzmWic05xT3f +ZnxQvsSufeIE4ga6k3U3qyZ/HZtjimvm4fNe7OfF5ia6k1bp/Rn7bKomTUXu +gU3NtHNYuaw3gt4KetOei80pxS2VQ1OLzCHFJcWB+jC2FXvUMu2a2RL8TuTa +JQ73F/DvIt9tqgkrwStic0e9kfRWmpuYO8vHPPA61vNl8mduNe9RReK3jnJu +FnhCbG4gjiautqPIXEUcUlwyP/G+KifywJW0tlX9ppwDfgffqwv91hdH0htG +bxmd8eqJ3zh662hNuiP3T3y36404ANw78drqDai3YFbivdEbRm+ZFYXeY+2t +/iEVm2sohirg/wEMMD6G + "]], + PolygonBox[{{6284, 4184, 3588, 1993, 5901}, {6030, 2109, + 4200, 4197, 6288}}]}]}, + {RGBColor[0.4543818125, 0.48277035000000007`, 0.495164225], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmXuUVWUZxvecYc45e3BunHP2nlVCCf/aKhUv4KUEBi/0h1kKpOUFuTgK +IqIICHJzLM2lxSVTa60QXVooKnhPvAVWSqvyrpV3UMQBBhQEhZ7fPC/L/tjz +fefb3+X93svzPu+eQ86/5PQphSRJDteferWPlZJkfpokj6pdlyXJTWrXq71c +Y3eqf6EmnVRLkuZikoxUm+r5qCFJymqPqXf/Ie11UL3n7Fd/VjVJLtbvgtpb +K0myXOd0qP28nCS79ezSvLLezdOc/+iso9X+tE+STNW8y3Tu7Tp3ksZa1f+G ++leoP1DPtdp7nJ4RGh+e+izmtOgZoHkl7TlH897MfCfutkR7HqGxO9S/V/Mf +LFluZL5Xsg9T/zH1d0imTyVbj9qdZfcv0dp7S/5N/4/q96g/JXG7I/rbi+5v +U3tEvyQ5o0VyHWT9ce7FmjMr9R3v11mH9U2SPZrboudhnf8DyfF9jd/MHfRM +1dgY7bGgLUn6aZ+RqedjsAPyHaX+C3r/56Yk+VDvi7r7LI29rrufoDVD9WzU ++NhG/94Yel2u5yJt9ZzGjz7I9hij/nQ92+uSZINkezN+oxv0in5urNo+8yse +3yqZ12r83QbrF922yCe26Hez2tdz66xT6/ZmtmGD+gslxwI9T2jfWs37VNUe +X++1nMU85r+a2ebIjN2nSLbLGy1vLfZAhhWt8rPmJJnc1/6CzPjcF9LPO03W +wd0au0vPZI1nqdcfqt/l1D6BP5ymu63V+7Jkf0Tn/77edlmv9W3SVSLdv5x7 +j0mS8dXc9r8w7rU2zj1V+9yHufR+VMl2xab9NedgPUNKjrfjw/fwG/zpyHrf +Cf1yryHSSx+9O0bt/RpPtHaK3m2WXlbq94dqP9GzSv2P1Xb1sY8Re+s0Nkrt +Xwrud6X+TXtt6nsOiXH6s1P7KP7+G8n9sc4dqz0v0Ng4PZPxSf3+nWx0l+77 +jOZdo/GnS/YhYvtp+c/6kvfnzJlqr0wdNy9pbb3aiZljDT++SHu+ot9t6Eft +QyXbYprG/6vfw9W/MfOe7AdenFb1PU+pOlaeLFq3k3TOxNQ226qx7qKx6/3M +cfhu5jhF150a/6vazxqskwdK1i+63ZTZVz5Q+07mmHkLPWv+lqJxqVN3/UPZ +OpmhM69I7Vtg5vTUMb9M75fquafgd9vK9hva7dFHRn4P1j7dareWjRWcRZ/z +0O9Jev+s9nk85KXPGd0xfzOylR0raxo8H/9BD5zFOXc32N/wc/ZlLXHLuk/K +xgTibEv0sT/j7D1Fvr+40XZ+VvucFn61SvF1dYtxBH+el/oMWvAX7G2NcfrE +26LUsUF7TfR3F+0/u+K+vOMO6AXdrSrYN66OWN2s+DpLY0cpLr6puL9Hcjzc +6NgBW4ifuanndyUeIz6JzQExZ3lg4O7wW2J3YWAK6ziPtZeq3dBgO5KDBjRY +z8RZV+SsvUXPYw4xPrTkPLRGcXSy3v1c8p6b+Z7nZbYhvocO8fFhel4gvwT+ +gEML2+XP0uuidsdTV8TU13XnHq39mto7y96fnNKQ+0xyIFh/g7BwVMGxSsy+ +GuOMbauzftkHX5qhMyo664p23/XUkvM5c9HrU5r/AX5VdN7Bxq2BmeD/iUX7 +EnY4pNlrNlSs18WZ/YU7ct+hNY/zHt3jV9j9bL0rFG1X8Bas5dwnc+fJk7Vu +WWY8Xap2dcU6G612UGo9gg8vVLzuCM2/PXAYPD4lcGO22hMqtu1O7fPP3P4+ +QePPa/1hRdu5I3jLPs15MXecTawat9DBfZCo3DmX3NuY+3x4DbmTHNpVcL6a +HjlracRTL49JHYfobU7N515Vs63Bu7WBD4MjtxIrYC73OU6yXal2a+bc/5L2 +3pQa28ghxAv4dF7JGLVZ79/pY3kGhh9hC3Jcd8mY+bj26tSe46s+a1Fg++E1 +2+K44IDXlsy7wOzW4FfcdXPc98SKxz7PfP75Jev19sy2JXbhO9v6+nzk2lIy +Dzo4zsQn4TsfNZrznNvu+efQZsbr7sy6ha+g3wla27/R3A4ZW4KLkqfB2rkV +509wfmudfW5McB5sjw9cVbGNsfWcinVJ7sLWY3Lnqzq971N1jnqZnFZ13nhR +/fcbvIb5c1LLiZ3ITaOCA5AvyC/koDQ1/0CP7zXY1tiOWMPHiOtNweGI3Veq +9m18nNwKB0AmOBZca57Gv1UyzuInyHBV3Lku9f0LJfMF8jxr7gg73Zn5TMY5 +F3w4NPjV84rrY5ttZ/wDP5ldMU7ODUzenlkP6AM+BC+6umJewXlwEngX8s2K +2oCxLZn5+6PBM9Evd/oo5BlZtD5X5+7/THsepv4n+GZuLB0SPgNegXXIhy06 +Ih7u17xh6ndp7XO5MWuvzhlUMw4PrNkWbcE9FocP48sPaP4I/L5ifjHg/3yN +/tTIU+xPnMJH+sc4Nh0eMQyPI9+AfeDj+sBVMJxcQg30ndyxcIP8fF/FXOPt +4Hr4ITolr84Lff2iYg7UqTmfZZYd3+ynGmRHk+Pj9Nz7sF9Std9tzKwX7oW/ +ka+GBOacmXsOc+HTcG7i5Ee5+dT+ih/672XG78kxB3x6OnIfmAzWgPvk1ifC +7mdl5iVnaL8fB6/6ofpnBz8bnTu2iZ0etT8JvjhW4zubfDfu9Zb6lX6W79+Z +73BdZr4AH1sVvJo+9zmzxbUZdRnxNyM4W28dklo2uAG+iB8+Gn3qENrW6GMr +eDK+Czb14m6dcQ4MB+vgXNuCd8EHu8M34HTcF3xh3cZYC+eCe5EX4NvsQb1z +W8U16iNVnzk7zqXGaY2al9iaHbz90+DQOzLfe0bcHX/Cr76d24/g5MTUxODk +kzLnNcaJvXeDM7+Umwejr1fUH9psLAAH5kuff2tznYmt5gTOvBWc+V+5sWZu +cLAbg8/flHkeuAT2Tg3+f6naU2TTL9ucz3bEXXap3aexvW2uY8Ft1oKrtHOi +v6Ji7ru2ajziXHLBBdpzQ5tzCTpCj+DbkTXzjT9lxqQs6kF8IQt/WBk1zAGd +zQz9rGty7U3uHRDcENuB5eDItOBH/IYjfRw12hu5azb2fS33vdPA/wdjPmvf +bnLtCu7PzGzvWWp/mzsWiAl4+N+L5lbXB5+B1/DdYmd8x0hzc4mS2svb7ftX +qv1eq/WCTvZUjYfg4hdVY9aXVfvPtsCH16rmha/DJXPXP9dU/M2DmAWX9lWN +ufvVJjXnsLqa5/TEtxH4LHyDvD9e5w9u/Yo3PBy1Nk9vDVdnnC1EvsZPC8HJ +Z2vtRc3mDn1y404ht416Il8g76+j/iL3sZ78tD8zHn2ZmYc8EudSrzEf3guf +7Yz67pft/l7z3XbHNdjVW7uVnNORdWHwMXhZp+Q6sdX8hXjvjjpuTcU221B1 +zMDPif/bcusQ/MMe+BS4sjg4466ow6nHVmTxDa3oPHJCyIaMKyuuD9dp/1/V +nI/Ie9xpWeiBZ2nUiUtjvLvOnHRp9PEffAxuQByODW75gLBzbIvrBM5HLu6M +/1P/sPf5mfuLJMu04Lfg2C25ca8X78vGO868Nbc+yQnz5e+jW/ydBdsOa7V9 +l1Rcu67WvW6uud6hrrqhybreE3Uq+oHDLak5r5G3l9XMGeAOvdyz6DuWIi76 +5l/FPDwHm5CbR0WNzB3InWA4tT05D5xmfFz4DP7CnuRP+Cs8hJxH7oNjH8gB +rIWPjAhOsi7mUDNQyzOHHEGsgDfMAUf5HnrgzMtCHuqwkVGHkPeoOQ+cT5/8 +OyL8iPzSkfobYhLjHdHHN4gT7rBGPrRaNr6l3Tn84NhnZT/jMr5A/MEhiUe4 +D3wInoMN2B/OzZwJgb3UdOgd/UyPOAfzOW9/jINV4DJ3wX/5LgOnOzrwGZx+ +quhvg9SdhagVO+Nb8bTQD9+Dz449yQPriuaw8wJfWbsn8zfh3eQc3euQNtcP +cwNnkBn+xjdt+udofF/RPse9wREwBLsNCtuNT82fydmLIoecFHofFXKCE9QA +YMV1wVWuz/xdD154bM18FjwCB8mTg4I7oeNJoWfWTwz94++bo15Gp2AY488U +/U2VbyALgiPQHxx1HPUce0yIff7R4tgmrrsCf9kPHjI+uMjI8Bns2xW+ho16 +4ztiAd7NfeG0rBkYHAbdsM/k0NUF0YcDcA4yYLsRwYXAXt5TFy+JbyZ8O8G2 +w2MOeIBPYNNxsSdnTY7frO2IPfGzDbrj8n7+joU9sSt8e0Hk/oWZx+DijL8W +OXdm+AtcEO5XiFxTzJ0/yCN1uf2JeV8En6oLfwK/sCd65Ts+/B97Y1fyNt8v +9se98Fu4JTLAT94I2RYEFwN/wAneIys+iT064o7wRGyPrck5zEUP1B/Dogah +LsG/8W34Kfx3cMQpesVXiev+UeMQQz3xPRGuBeZjM3LUpsAQvhXxXYCY5n9H +5ANs/z/6+bfD + "]], PolygonBox[CompressedData[" +1:eJwllmlslFUUhm+ndArUdpjOzDeNJir4G7VKJBZDBQSJ/hEUKDFRQY2yFTGB +EKBCLYIGSdAWREFCoJIAlSIQIKAFWeoSaqJA2VxAcKmALEVECsXnzfvjZN57 +z/qd7U7PsZOHV8ZCCEugLtD+dAg780LYy+U+8PxUCI/FQxgMLc6EsIm7rfDa +kOnGeT3nxphl6jhP4HwnvEX52IpCOAm9mhvCas6nwP2Q6YLslzkhlIHfwf5Q +zp3QS/AvQNOJYxPyF8GnoXHor+F8RragXPA8ZBage47zRPiN3J0Hx7Mh7AFX +cZcH3k48G4hnBzFuA8/CZym+xiJzFv3myLH2Qn4mvJncjcf2CnQq4A3oEcKj +UFv3EK6jdy82tyF7Dp37wQPhtSd8PkUCP0cnFreNneAEPodh6zz8UuTfw8cA ++L9ydx3equIQdt0WQi32K/m9L2tbsrmyJIRRnC/JHj5HgtuwOQHcgMxf4LeJ +dwj8x6EPsN0149rs4lwOrwCdZmTnoNMdXAt/ELzTyNzAf1fumoJluoGL4J+D +txuZgej3Kwrh5UJ8Ed8J6Glkzsdd0+Hg6cTYg7hHEO8G8BfYbCLXF7CRyTin +yq1yXgV+IOtcKIfKpXpKvXUG+U50R3B3Ie6aPwP+lLvPYu6RpRl/o771N+QD +uJoYXwPOI/dPIdsAbYw5J0vg9yT+3sTfTOzboEe4C3HHPJV456E/MO6cKDdv +JokL+a+QLUZmnfonZpn39T1p+1LPzQD3RL6syLlpKXCPqdeUwwTyv0eu3Vq+ ++Q/wZvhr8zxDmqUW9Pfj789u7rEFyJTluybrie0Y5xno9+buOLgmMt4IfzX8 +nIxzoRwpVzexdxJ7o7F1CDqe9WxMRv4Y+FDWszSR80HwMGx8E/fMN4BvYH8H +/Gn47Ig8I5qVMdAnnMvp94WFnoVSvncUdZ+TdE6T5KsV+SeQbcHeUeJpRzZZ +7NxMJZ6jWfduJSpHwEci+7qLu6Pgfcg3FDt25US2RyZcL/kYDa5JeoekuLsc +eVdUYuMSeDH0JOe/oSMp17466djUA7O4m4Cps+h/iP8TkXeFcv6jdOHvh7eF ++OvB5SX+zgR3u5CfETnWVdhYBn9aieNQPA9Tiw58VRNjGXf9ofHI5yO/FBoH +HoLOnrh30nLwrbR7Xz2r3tXMafbUI3Wqr+Yz3z0QwD9FnuVB3P0M7kM9ZhZ6 +92hGBxPDfHhF2gngU/A6k45FPXEz7dnXztbuHprxt0lHutoZ2h2K+V1wilpc +KXTtKsnDD1nvcuXw+6y/Sd+mnC8BzyUfr+BrOzE+B67AxnfY24vPLeBFkWM/ +gP5mzlUp96J2ykfYm5Nyr7Zz/phzbta9rp3eBTwG/WtxvxE1yM7W3uH7rnUN +oS9+m9KunXaQdtGDfNPuHPdOn4xnuzFpWc24ekS9ophriPd2ZC7nuQfUC52R +a60a3AIfS7u3p3Beq91E/u8u8m5ZWODerEh4d6gnpqCTRLYOG7XYuxL57drK +3T/gh/D3bMxvRl/wf5FlNYPXI+dQubyI7RfA3ybtU77UY8+XmKc3Rm/NuhLP +qHq2P7g+cq/Lx2rwG8QwKXjHLtP8pf3WKUet4H8jx/Y6Pq+CO9J+q7QDtQuH +ZNxbmnHNut6uevxNKvAbtoxc/FLoXtFdL+Sv5nnHaNe0Zr0LFcPhrGvXkvDb +pxrOTnk36M1bDv9FYljH/XhoBed0xm+LZkizpBqoFh1605E9HDl25bw18n8Y +/ZdRTe9A92DkXaH/EIfAayLvNvmQr7dS9qU3Wm91beT/Kuq5OnBL2r38NTYP +pE3C+sZ7kJ+bciz6D6T/QqOz7mW92RXg/wHKVWsn + "]], PolygonBox[{{6298, 4787, 4048, 3091, 6263}}]}]}, + {RGBColor[0.520089995, 0.54506703, 0.5512831924999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmGtwldUVhndyPCc3TyA533eS6WWYSvvP2rTWdqAx6U0MgTDFGS3iTOtA +QhuiAtaxF6GVqSi1FcESiBlEq0UsygyChA4MjdJy6yiXH/ZKL9N2ehGcUijV +ItS+j+9y/HFm7+xv77XX5V3vWjvvm7fouttqU0oralIqaPxAntJrxZTerzFv +TelcOaWvNqb0UHtKVzal9CmN32xO6faJKZ2sS6mkfX/X/jqNuzX+TMLGJedo +Q0qdOveY1r6m/Qu1v1fnL9G+v2mtmPv71fp9Q/uXac8S7XlE5441eB0Z+7T3 +sGS+pD3byt7HnpLuLup3n9aHtXduo/9+Xd+e0pmzsmeqDOotpbRD51/R+j/0 ++3eNZXMH917U9+OaX9C4TvIXS4cu6Vkj25/UfLHmC7T/v9rTVfC543G22Gxf +4IcbtO+Q9l2u3yr56LTWPtqW0nTJXVQv23T20TbPV1VSukXnrpH8eu17Qvre +pvWd0vNWrU/T+l8usf63aH2p7rpf6yu1/jnds0njBv29SPM3W7RXet+ke6do +/5D235Xsd+YLJPOOgvXHJ1t19159O5ilNKBvHdKvX+ONkrlecrqbfMfaRvur +tmDf4beTWjsZa/sk+4P6+wWNLzf6fvaNtzk+3fLBTt21X3cd1V2/0e+I5r/V +2FdrPzVrrBUO/qr1Qzq3Q+O41p5N1vf10Hk4tw/uk7zR3DHdqf0bNJ+p+Zjm +GzWfpfkuzbdKzh7JeUJn+quKkcbvVBw34k3ssJmYn5H87+f22b3asyb39xWa +H5VvD5Rt8y8q1neavr8o+ycX7NuyxpqC5eCPOU32yeLwIz5syI3J7bJ9c71j +3akzv5f842Wfu1Vrn9Dac5J5vc59vsk+Ig7Xx/yu3PE6UPX3G2L9xcx58pLG +TdJzTPPnNe+JWBG7u3X2Sp39lsbHFJsR3fuhNvsATH9X9+6UPjcKVx2Se1Wb +MQyW34qh9s2WrE3Kiw6dPdzoGBCLB3XnesldJr+trNhWYjecHFtyAGwO61su +mV+R/kvLxjo4525yHX/CNXdGPuNndJ4c+J3U6Bx8oeQ5uP5k8BL8RF53Bm8c +Dx7Bvkd07zbpsVs+Wdhgudz1JelwlXB/SmfGZPuz+nujvj+gtQeb7fc92vu4 +frO0/7NaX1B2HjxedMyI14D+7m+0vStlX2vJmACHrIPF2gbjAo5CFjLB9vJG +n+8KG+EafMfaglg/ozN9dT7z9jfugm/KJeNyY5uxPb9qjJEL8Anch+/B9806 +e2ndO9/AGzHLFNPLZP+RJvuyPmyYVnEOZbntuDtsIZ7wGXLJN+StqVjfgdCf ++BAn9J+h8y2a92o8onuulm9PBF8T53M11m1z5AUY4SzxJVc2Bzdi/x3htxGt +PVzvvBuN+Xbt+fKl9hdx62gzN1+h8Wbh45+y7QsaD8pHa7R+qGpOGo2zfSXz +CX7hb+4Am5u1b772P1V1vrdEfJ9vs59myq4hfWvQngcqrofIQOf79dsd+CEf +r23wWTCNbHCI7uiAbPIFvxI36uTU4AS49abg5B8UXRfYwzf2wI+vFh0jfF4b +NXJCrfnggPTsIRYV8+u7pPOHpf+Y1iZkjutnCo737Ipr+GW56/nMgv9e0uT8 +JGbkLfyAbT+V7NNFn6e2/LzkM70NxhIcxP1ni9bhd8LAqonmL/xEHoHDP2p9 +9URz6GidcUC890QOEP/OwAScfl3R3/AtdQPZ2PbLiu0eVky2Ctu9Zdeo/jrz +Cfk/qeh4EWdyhtx5smrd6X/Qn3wdDpx+r+Jeo7ti7HCeGD4ccQOHn644L5up +S3XGCd+oT+BqdcXxWR4xGog5uQWfUgeoq8QY3qdOziiZY4kxeJgRc3qp4ai/ +c4MzySN4jngQC/L5RHyj73g6+pDusKU+d28Fr9NfkXNgqCvqO7LxI3jui7wg +h/bFOtw6EjlIzaBvgo9Wld3fEPs/aV5tNXaeCVyBL2QgC/wti7pGfSPX4QI4 +ZWvm3qhG61sy9zRvaHw6cw5cjB6G+vb1ZG7jLBiZrzw/I/nzNHbpN1f6bGl3 +LX8l6uI1ufXt0fhMZk5/M7OfyPcl0U8NRm36YeQOOcR38ASWwM6F6KOIAXiE +o7AJ/dBtqMFn2E99whZkwgfswYfkGj00d0yKnhP8IxN5xAyegLPA1fl66/eW +X+rNCfgFmT3Rs4GhR4vWYUW7+fHedmP/9sD/hXrnIPbDTZxHn7WBZ3B9MfoW +4vGjzDJ/rXFC7jq3K/qN6eFbYk/+t4YP+sPGDVFTqC3k1bmwixxADvfBmbPC +l8jrDZnUZnADZqaHjegLJ4F1cH5txJTYrquaAwer1hdfUCsHwu/4hxgT3ymF +d/yFr7jrcOQjXHA43jWTc/da9Fz0Xoeij4UHRqKOLI9a2R+5Rw5iE/lBb4x+ +9NncgS1g8uXon1P0UfRTI1XX/fUa1+aOLdgnt8ejv/1fZu6nRx7JHR/yZl3u +eIJr9H8t3lFjwcGc3xs8B+56I3bE61eZbaLnfSg3vrZE/w6vgb2eOAdWPyZ+ ++5fWP04/mbnXoKc+FXUC29/99vswcw91rMV9FJwCN1LHyBH6M2KCrdQ3ZJE3 +Q7F+smIsLc3NkZcHTw7GWXJqU9V72MvaUPR86Hw23qhtuWtWNbc/T8fboyU3 +B07MHbdTEbvzmd8FvA+I7avxxtgWdY85ffLswAq5hb/AAzGhFyCu+Im6Rd0k +PthN/N6bW7f35M4dfFMbceJdRKyJzfTAPHYNhk+oA7wFqQOdze6xTsQb92j0 +9tSUvuBKcoL+gPyjp1gc75TByJeFVctbEjLBeEdw+xXRU31E48Gy30jg99vt +rgnU3v3V4LzMdmIv+UyfAd6/2O4+DP6/p921FD+hJzx0IfqB5yquS3Mq5p6L +Ufe3l92vkz9zmv1uQT/er7tanFvEgDwdDz3Q5x7J+XPZb2bshjvPx3sZ7nwj +3tpgFr2J+50Rf7hocvQN6ElejkZ/Qn+RWp3Dee547c1cP/Ezflnd7L6Hnocc +IBf2Z+Z13ktwIPxBHUH+vOAsuJZ3I3t2ZNZzavSHcC6c+ePMWMCeKdGf8g4B +J/8p+/84cCTvtj+0mNeIYXfUX+JzJt46x8p+l9KL0G/1hY30ZL3xtuWtTp9a +yG0n9v5E4/8BOMWKyA== + "]], PolygonBox[CompressedData[" +1:eJwllVtsVVUQhodCz2k57NPdnr3POUGMEfTRgFb0BREDAnIxpolK8UEtJBpE +i/igaEETuUnoBdPWim0RtUiC1ZYW1BJtUduCCQUfTEBNJEjUpBC5eEmACt+f +eVjJzPpn/WvWWjP/urWquuKFAjNbz5jAqA/NGtJmj6XMHmdMjs26me8rNLsJ ++/NSs/2BWXux2f3gn0VmPRAsSpjtBP8Uf23SrJjxXNasjbmlYH+yPoH9EGMr +WClzi7F/he8EfHdMNDvKaGXvM/gvwl3NuArf+6ydBTacM4tY8yH59DAXY/9D +bFRmNkLsy8SkmWsC7wQvwT4LPg58DfgT4OVw9I03u0AOM7F3ZMweJpdJ+M+T +bx/7dbH2EGf6EnsJHGUJz1m5r+F+uuBs4/yz4Rwh5iix/7HmdvC7c879d4nZ +7rzZETh34E9jzw3ge/FX4O8rMluNfZL9l+CPsP4nuGqIWQnfDPZcj72HmLGE +z3Vg72H/bdzRIyk/07u6U/DfWV+APZ3cloHPADvCeSvhPw4+CH4Au5CYP7B7 +4evS+ZgbAj/IXAf2QvAg4efr5yynmLtEfs9OMtvEeRqUb8LfVG87Pva9VQOq +BXGKWzGtYPUZr43FjPfwN+Kv4312saaK8yRjr40DrOlmbciowL/InvewfxH4 +FuL3MleM/Q5rliY9J+VWwfge7q/AOzO+h/bSGSdgn2NuZdLv/GPW3gXnKPZB +3uNO7Drw6iK/Q93lz5G/hWpYtZxl7gL+t+ALiP0i8tpSDbbij+Hvxn8N/1rk +MYpVDbVhP8h7zWOM8hZFcM5l7jB4jN2U8RpTrZ0nvpS9Nuf9rg+R39PY/eD9 +BZ5DTr2T8V69Rs495P8W/gb8Mfxe/B94/9P01LKU99QDcJSnvIYHwA/D3RF6 +bzWB7wOfG3rMHOz6tGuAev9Rxhb4a+C/Cv9+1g9lvTb1hoPYpyJ/yzQ5nsQe +YnyHfZm5m8m3Er7mwHtFNdkT+VuqRxvhXhV6TsplEfj80HtHPXQWQZoSO5dq +VLW6FXyA+MaJ3gNTwfvh+oaYadIq9uoocy2RRo2TXhT6nRn2/NhzVY0vwL5O +Ph8U+hn/l3bBXxm6tqlOwtjfRm+mt5MGSYteJf4K8cZevwWuLT/qDLFrm3pa +vb0p47Hq4fac514b+t3qDJszXjtXuN9u8JlgNYGf/Rz4YOTaqzN+Qux93Ocz +gWO/MI5H3tvSIGmROMQlzXw79jfT26lGG2OvEdWK7qQldk2SNpWT3xvYQ3B3 +lvlZRrm/utA1RVqiP2Egcq1QTao2q6iZSynvWfVubca1/xb81fjHIn+bY+Tf +C/Zk3nvvL9Y8hd1EDZXAlWBNc9ZrXrUvzhXYJ6jl4cBzUQ9lye3fwLVef8Ra +1uxMuia0SGtZU03Oy7mn2XnPQblIg4ezrrnSXvX8Lu7ipaz3ojjEtSrruUhz +tpPv15H/NfoDP8JvgPuVtNeqemw6HC3ks5z5WvZ7Pfa7lOZIe4Yj1yb1hHpD +Giet05/TTuxUzjcr7W+pP0y9WBe4Vqgn1ePqddVos/Qz73enO3sT+96ca6X+ +NP1tt8X+F0kTpY03APYPKJk= + "]], + PolygonBox[{{6207, 2461, 4209, 4207, 6289}, {6285, 4186, + 3589, 2027, 5936}}]}]}, + {RGBColor[0.604478465, 0.62193021, 0.6187370974999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNl1uMXVUZx9ec6Zkzc4YzOdO99zkH46UEkDdJqsV4CdMREi0znWnrU2n7 +UEwvE4aiM8XQRIEwUcELY6u2tNOBKtBWxeKF6gwBW6VYWiKV1hBv8+CVRCmG +BEvBF/+/+X+T+rCz1l77W+u7/b//t/YVt9y+ZlsppbSpLaV2jTd3p3S6mtL7 +9FyopDSs5xF9+FQrpdf1baPG23tSuqme0iuLUjovude6UlokmWXNlP4t+fdr +/Ektpbsl97C+/a03pW9Kfr32/1nzXXXr2SzZZR0p/Vp7d0j2Vq0PaH3R4pQO +az6u+Tatr9C8IdmXpWuDnvNdfl7Vc7HNus/H/ERnStdK5lmN67Rvn+zo1zmf +LKf0c8mtkrOr9b676v0P6P2ZWB+5zD4jNyk/39D8Q01/IwZv6vx/6ZzVsnm5 +3r8i2+6v+7xvSH6Zxhs07i20rlg+kKU0WwpZvU9p/csaJ7W+UbrfofPX6KyD +8nep7HxBNg3r/Q7J9+nZpe9LpO+qdseIWDFvSv5KxfFMt21ZFfbMlLwPHR8L +e7BrsuY4EkNyckfdeemTvuv1nNX8Hq1/tu787ZX8ds2Xa//b+rZVMo/qzNu6 +bMdIyXvPddlPxt/GvLviebXih2+TJT/oYe9wyfiqazwq/7Zoflzziap13Sgd +Jfn4Ss35Jn8HtHdW6yv1nJbscek6JBunZfeYvpci5sQev/G1UFwGdEb7YmNn +u9Z3aFyvp0fn5PrernGnztmpc9bq+z9q1o3evyjG52rG05D0r+zymR09jhex +Gqr4HM7b3+nxQpv97ovYtnTemzXr5p2YP1a2bHvID0YNgWG+sxd/yAG5qnfY +7jv1vNXm3M/FO/G7N2KYVSyHzOFO4wsMbpX+c72uV2plQ+B/a+wnv2dr9hl/ +d/W4VqnT/5K3qrEATv/aa6z+oul4rCrMGdhITl/S974e23d9j9/noib3VG0j +9k5Erl8v+/3GyO/FsnOMbSOxfk3h9fdq/LtsuHyx83lK87O95qCLNcd6R+Bo +InzDT+od3I3Et7cDy1cFnk/I9iXEU+/P6f1p6fqxYtIuuU93Ol+LNP+M5gc1 +/0FmDK7JzDlwI/jcDG9ovqllDA4FZsAo9pIbuAgZeKas72Paf6hsfA0FDk4p +tv/UWrf8fSyzLYMaB8hZyZj5gnT0av77zLjCRnz5Q+48/C5zLuFdYk/O4VTi +QVyoPfJOvMATWJrOvPbxzPF6VDL3JeMU3ehF/0DwLfkcC79eq7onwKmM8Cpz +ckuOwedcyLF+eeH1VmHdrIFbOO9nwRkdhblzunA8wS/xQX4u9lBrZ4NnRrvM +U8RhW8zh08GoX/aSD+YLPg2GLytjzvrSDvuJ7+PSeyZsmm26pvYqPpsq1sH5 +4O/lqC10bgt87Y5eSizhl3Xdfu8Oftyi9XsK67urMD6pNzC/Qs8bZePx8zX3 +XeIKLugTcP3JDssgS3wZwQp7qCUwOtN0j3gwc12t0fqLWh/RmdfVnQ90UhP0 +uCfKnoODKyuuDeoCmSVRjxOF+9G9heOE/VuijsgpMp+om3fI2XTk8euZe+md +0U8fbjoWow3HbTTiuaAPmSOLzePE92TZ9uPHCx3mBPwcLszDQxrruWvxlpbz +Ohx5pA4Gohbgq6Xd5izOOlF2rOAD8DcZ+CHH5PFo5pit1Tia+7yvZa6n1VFT +9HP6en/kfW3kmpzfHPP/VFz/1Abvp6MP0t/gVLiEGuDOge/vKZzfdxfmodHA +NrYvD/vhefSCS3pSf3AROtDFWcSUvWAGvny+Fve2uJNwNwFb3HmeCTyfj3q5 +runziCu9/Vz093HpfbzTZz+Rm3/adU6zMLccy82P83HV2q9y8+pJjQ8q37nO +GGvYdnwgbksCi+T//ujh1CP4ACeHG+bNC3Evvbpw7l7MzYPw4R7JnGr4/nRa +47e0vls23JDZLuqEGnk6agv7pjrtE3l/KDPuP9ewD/N7cnMA/X7h7oB92Paj +3PxdkS0rCudkUGO1cK3C5XdFjT/fcA7IJXG/rPCdslbYB3w5k/vevb/iOIxF +rMY1/insmMvdK+BEcgT+wDl4P1Z2bVAXM2VzBLwArsAUsTiY+dsvc/c0ehv1 +eaDpvO7JXAvEA7xVu1w39G5spy9iP3w5EJzZrJgr4Un87os7KfZOd3qdh1hz +7rsK5wBcEAPusNxVfpi7x5YLy3Kvou98t+F6/F7D5+2PMzfGv8kXW/73oAY+ +2LTMmbhnUVvXVi/1asZ5rMR9EL9YezbW8ZeYMx+M/vvOwvyxJ+4yH2m6nj/a +dL+ELxuFMQwPwoHw1W86zFlHcvfTP+bu+fT+ryb7MR13R9aphdm4y73Vdgm7 +jPXCfR3OuCmwD3/BTbO5ufup3GeMRU3By2CbGO6IOyM+9xaWZx819Uj8B1Hj +1Br3T3iJuFD/tzVs707pX65Yb1A/+r7G7Q3nfndmLC38i2wNPMKVRzLj8lTu +nr0qev1A1At1g/7hwDwc3AwsETOwXY/+Dv7A1vGm78b9rUt9ax7bZesHn9/W +tylx3QckOyPeW99j7uS/8Klec+VRzWd77eu6Hsshc2vDusnbh5vmRv4L9xXm +Ojhvf2F9YPahwjywwAfkkJri7CdrPn8i7urcv2b+r2+DganAM/GjX89EP38u ++OpY9Drev1PE3b7p3E5FjXyp5f/Y+1qO/5a4Kx5qeP5qZlyDb/AFf1NTcPjJ +hnNFf2Ntc/Q+7hrjwfM/zYzpl3KfwxnEnHrgTOqFuwO5ICfEiXyNhF/gg5js +azjXexu2CdvujviNBf77ox7ma6RiTgYbxJtziM+BImKlOPwPQJ9LSw== + "]], PolygonBox[CompressedData[" +1:eJwllFtsVGUUhXeYzgzMMHXK9MwpxmtAfTQQwWsQ9UEEoYBP0vKCAiHES5xK +QtR4ixdEwVZtAYFWAi0axESZCkahIKYXEoqS+ADy5IVEA4YElEe/5XrYOWuf +/e/978va/80rnln69ISIeBZpQGrViOZ8RDf4o0rEmy0Rl4oRTRx6A9zUHPFY +NuIKZ+5NIw6UIvqnRJwoRPRNihjG/i32Ifw/x/9tfNZMjjiciXgSPIr9CPYf +iDcCPoWMga/y77Yk4tbE+ESOe/DfgiwGL0E+wTbO+ePYTxK/XnFMxb5MjqvA +I+Szn3x+Jp+L5PMj54ezvkN3DSF19C/x34N/npgD6BvRc+CXkdWcncl9r4Dn +I2X0MvoC8CD+h9CXou9CP4Z+UPXy7yj4LLI7a58z4K0Vn72Wfq2jt4vwaUZf +hH4G26vo08l/Fv9eB5eQv7K+Q3cV0f9EP4heR99LjGLeOQ6A72AGH1Nzezli +E/V3ITXw8saIueDXEsdehc+FimMolnrah60Xac35jgL4G+xfgHfTjx0V91y9 +V06TwStb3GtxQFzI8q8f/I74A16B/VDGnHkC/CG5rCeXBejtyEP8m8U3IeZR +cp+N/SXyPw/5LjKzhdw5nHNP+8Ed2L/C3sss5+K3ueK7Muh1/E9j+63JsW/H +/0V6Mo1atyMvVM0hcUmc2w9+T5wMz2gt9mXop3LmyCC4hRougY/zbx56O7lv +LfnumchUuHUVfT13dRQ9c81ePlPxXUu+38P3noJrnp54F8TZW8Aj5DwH2wb+ +TUBfx/k25AHO/k3OD4M3E7+ad5+uS8xV7dT1mg+11kveNflkyOcP9OUFc/5X +7D+V3Avt5F7ibaSGJZytIfPRr1zDDPPu+XnONkyxTTHKiXdfHGgCP5qY++r/ +ELl/gH8X8ZZxvg05zX2jJe/ahYJ7pt5pBjvB/2JLiT9edM8yxNuTdQ/Ui07O +vMt9Wfy/Rq8m5p52NAW/X/FuNmAfxD7GzLry3hntzmfoK9H3TYx4HnyOeYzj +W+PfAXAP/rWJ5ri4fj+5rymZa+eQs9j/yfuNegtu3p26N+rRLvS70L/L+N89 +qXNQLuL8duJNo/45jY6lGlWDatGbsjMxR8VV1bwt8c5r95XjL3ofyLk17xyU +y0LObMj7jWhNXINqSZEOzvZU/Rbrjd4C3lQxl/Qm9Kbece26evIp9u6KfW/i +vqeIdV/qt1s1qbY7U/NOOzs7NXcHmPFzRXO4s9Ez16wfR45h7ywbd2Pf12LO +iqsPgh8BzyubC+LwDdRwOeud1m7rzdfbr383ah+qfmu1k8PgHdz3e8m7pRyU +s3LXzEc1e2LPwD5WMAcXJ35L1LP/e1d2jspNnNfZtkbvrnzEEXFFnOhL/Ubo +rdAMtoH/Ayx4Afk= + "]], + PolygonBox[{{6286, 4188, 3590, 2031, 5941}, {6209, 2463, + 4213, 4211, 6290}}]}]}, + {RGBColor[0.688866935, 0.69879339, 0.6861910025], EdgeForm[None] + , GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFl1lslFUYho/F6TAdpk77zz8zLlFrwOVOEhL3CBKNMWxt8caElhgVQlE0 +oaiAJqh1ixdGXFrFsgQ1IOqFCkbBWBOJbIqRQuKCV66JiiFegJj4Prxf4sWf +88/5v/Mt73m/ZbpuX9ZzT0tKacYZKU3Q+nlrSl1tKa3WjxUTU3pLz4N6X651 +WSmlpRLe0Ejp7GJKg3V/Y/9Grbv1bY7WMenZIPn1ena2WA75rVr36XevZL6U +zH7ZOlHwmUHJbtGzq8X67g1b6EDXWZK5o5nS8XJKTza9z95J+b1VOrol26ln +SSWlwx0p/akY7gs9+Lio6N+8Xyn/j+v3tVoPFqwfP6e3p3RIZ4/q7Hc16/sm +S2kAvS22hSxnzgpMytI5olgOSn639r+qGcO/9X6LZKbJn5+l84B0NmVzdKL1 +4Bf+fDHBttlfq3Vq0efBH5ll4fPtJeNzk97vChzA45D0/yT9U9v8Hbn5Oj8m +P3bIh09r1r0+7F4dsYPB84r3R53tKxv/STr7smLpkR+bZecfyXfq/HzpuV7y +J3Wuu+hvlxZtC3+Im3vlTmuS/0R710n+8TylK+TLkNZh+bdAdi7X2l+2Td6X +F40nGKwSPy7S79V1Yz6t1bgvlOwsPZ/Jx39L5ifYrtBej54/tTegvaWxD6bY +naL1iL4dLhn7a+TTTu111IzBzLJ/75O9tfq9v+5YxyYYAziFj/BgmmRv0JNJ +7+6Jxht/wGO06Pu6JDcWcGFcNqdL5s2CY8A++Bc6U/pNd9avbyvqxntEHPtW +Tya5Ee0VdS+PtNtHfJ/RZn3EQh4NJ/MC/pF3q/R9pZ6+NttEHhkw3t/mGOAA +PsCxc+XDiYrPEevJuNOPC85h8ndLVWfkw2DZmIPtqZKxBpdTimVx03jBEb7B +NzgDH8crxgguIAOe4A7ed+rcC9K/tt2c+Lxm23tqtjMQtn6tGC+w+u1M63qu +xXnBHVMfmrqPbv0u6Pcf0tHbakw+bDgPNmbOC96pLdwHuHF2cdE8QReYgTW4 +NQN3sLox8pwc//cMx0GM58ivyYrzYNlcBY+XkvVMj/siB/A5U1zzSvazFb4p +rnGd/StsjEetg08dJfOAb8dCflPJnNsZ8X8S/CRXkO/SOks6W+XTkTbbmReY +8N4TevBzbsm+whd0ERNy7MPPuXEWmTW5c3CvOLmx4X6wITPGK6IvdEXuEgfc +PFL6H7/xiG9y0T5wV7/Iz/Pk5/1lyxwJzG+KHkA+nKyYo/BzDzW11T1jW8Ey +u6I+rY4axf1NCT4sr7sfvFezze6wS+5uLDl/36+ZB+XcPuMvOUpNL0RPAVOw +eS0ZD/ADE2o2vQSb1A/uhnshVnTiA7VqJOrD9pr9ruTuc/siv+gH5Af3+qri +3dVhfY8G5mBP7L1xhj3uD45R+zkHT8aif5K37H0W+zdn9r2Z+04Hon9x5z1x +7/gFlnB7V3Cdd3TSm9H7gXzb2eE4Z0vnu/p+fu56yd2DO/WYGsF9bMqtl7g3 +5MYEvOdJvtFqjOkb9A9yEi7BI2zTo0ajFw9J52N6luhZ1HSdqktPb2b8Ls59 +H92BCfH8E/c1HDWPb/hGP6Uv9KnefNThWj4UdYb9l6Pv0H/urlnfi5n1UdPQ ++U6nc4z8orc/FmfhNrMG/GBWoFfMAfPcXJud25f90UfulQ+zqz63JGLk7qgj +R6OOg9PTRXMRTMEWX+7T2TlV10L2TsX+sxXrRefssDtP6zuZ73KfYlqp70ur +5ub63Dn3Uua44Toxvlk3t7fV7Rs1mfumxiB3uj9Fn+HMnrqxAjPqeH/09Dc6 +PffAcXKY2IhrQdVch+fEPRQYDsQ7NsHgWNSmY1H3n4t6CPbUxJUhx/7rwUm4 +2Rf4wYXvM/e1p5rmATUBX7fL/pp214J1en+g6tqwt+H+keWeecEBXlJnuqO/ +jzV8bmbT/v8d/fKy3HPspZHjJ2IeIhdHAiv65nBwktqEP99rXVe3/le0/p65 +Dj0iPUdrnot+iJX8IXemFD0zkSNLI+/AkFqyMGYkfF8cNWpL3TrR/Yzifrrq +mYn5YmXVM0ZX7lgu1PqL8mO4al0bc9eDYZ0djXpCXenMjRWY7chcp76uGdcH +q8aoHPMJ+Z/XnL/k8RNN84h5Z3PuGkCvLoozW6ue6ZhDqfPUkQHd0RVVc+EG +nV0oG9u0PlxxPsCPC3JzlTkCrPuCA8zyM9qDUzG7UDPOzp3XzMhvZJ65h+qW +YdZAbnvmefa2zLlIDyEfmYfoXdhgXRX58HbUJerTpw3L35pHfSy4D44Fn6i/ +1KH+dtciZvAXq57X2iI3yVFqyrHw+fS8GLMu8+bU4OTpGhx82CRcRoXLVQ1z +pRE+9+Z+79H6UN3y6zNzczBioT5RN6hR8GM4cJifOxZiAjNqDvkGv5l1iZm+ +czxmaeaavRXn66yq/49RH8EBDOiP9GVqFfHRW3ZU3F+oM/CXO8SfaTFvn4r5 +HrvIHYi+yVw3GP+J6NFzY+aZFLyFvwNRVzhL/egPLsCXJVF74TL9hx6Ir39F +v/8PlzcY6w== + "]], PolygonBox[CompressedData[" +1:eJwtlElIlVEUxw/l1NMnz/e97/mMqAwrW0qCRFFmLc2cWkUqQSUVtjELm6C0 +QYICyyl7qQ3iUC4CNdLIKMkh0saN2jJzYYm00FW/w2lx4H/uOfdM939u8uFT ++WUrRKQIiUAuuyLHOUiPErkCHg+K1EaLbFwpUoU+EBAZxF6I/RF6bUjkjE+k +JF4kK2Q+6puB/Sr4IVIAno8U8YMPICH0GmLmgauJnwYOI1VgL2fd+DZSSxx4 +VyK50F8TM0DuVsdyp+J/Cf98fBLRc9GnsIWpY9ZLTbEip5Gt4CLO0sHjHpGU +BJFM9BnwBGeD6P34tK0S2YP+Lk6kw2d3G/GpB9/Bvwi9GLlBj8vkGqIel3rq +yFlPrZ3UWE4917Ev4ucwo2vgOWJH+0Uq9L7HetRe85BmcIj6H3O/j/tJ4N3k +OsGdPx6rcQm82m+1nkOvdm22pdyfd2yGOkudQQG4wbHZxdJPP7ObpMZhYn/k +rFdtSJPOFvsL7Gfpr5ccrehZ5Igi1y+v1fod+cl8vqCngT8ge+kpJdresJB8 +B4k3CR4hRx84B3kfZW/aDn5J/nLlD3KBfjvJd5Me82NtJp2cJUUb5zqC1pP2 +dgzpQv8csNhj2D+Bc8jpBzvk2A++F7RZ6ptMO8YB5cIEd2bwH0OGwMPcGQXX +kP8tb9zgsRoy0C/S31yEzbye+w1iNbUwn1zXcul8htBP+owjyo1s7u/gbBHf +AfiwHey4xnXdEd2V0aDtknJkBHyf+d322gx1lt+Y7xj6AvF/E/OBY7NKJkYZ +9xuDxqUNnDWB1/A+y17jgnJ8Z6LVnkNd7cQbQc/0WA8e5QPnlfFWawkyyt0e +v73twn+OKFe6yNfiGieUG7qDbeh1Ptsh3R3dgRFqeoVtiPjPqPVIyHpXzh8N +Wc1au/4ZY/p3xNsO6e4cQn4E7G2UE8qN6YDtjr7pFHiTa7GVs5vBwYDtmv4B +pSF7u7s+i6VvuI16w7rjnN3CXkhN41H25j3gfZxn+2y2OvM3Adu15+R4gv18 +0GarOxhG7w4a957GwAtwC2cVMfaH6V/mBOwv0pnr7NVHfdWnFX2ta7F1RuvA +xfTf7LXd0j+oUmv32V+jvPmKbTbB3kZ3TDmuXF/i/hbup7qGtSftbT3630jb +Md015bRyW8+SsfURr91vu6p/Wqxrb6ucUG78A7wW2l8= + "]], + PolygonBox[{{6287, 4190, 3591, 2035, 5946}, {6211, 2465, + 4217, 4215, 6291}}]}]}, + {RGBColor[0.7671863750000001, 0.77125569, 0.7498462775], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJwtl1ls1FUUxi+tpZ0Zp047M/9WiAsY9wdNS6q+oAF9Mm6d1vXBFn0Q4rSJ +xrhA4UEoovHBREHrAi0gGHEjJi4YWTTRSFHBqIWo1UfXRNzRVL+f33n45y5z +7j3nfOc759yZt2S4d6ghpXTyrJQaNf6/0PeshqXNKS3IpbRP63taUtrS4vmc +SkrvSnhpZ0o/51P6VTItWr+v338rpLRb8+6cz56p+ZRkBvX9ovUX5ZQquqO3 +mtIdrSldU0qpS3pm9NX0bZX8JR0pvaOxU3rulEyvZH48LqV2nb9bOnY2pbRZ +40GNpbADe+ZKfn2Dz/ZpvEE65s7WWvd15WzTsPZrsnFM9hzN2SZGfF4QMvhY +L6Z0ofQezVvXhL692l+uvVtk0wUF+4rP1QaP78X8YNiH/Ec6353378uO9xlk +rtD4ZN5nuBt5fAHHX8KeM4THuPZnZvl8d8jX9FtX3jheKTxflfip8vWk9pRO +b5N+3X2fvhHJDOQt+2HI89u05iv0LdK3WN82nT9b59+X3YeE4RXyPdfuuP2g +eUu74/e57l7c6vPLZNtFsx1fMCI+YA9/erRfDx7VgkvX6P5M+/0aX5bNC3X+ +4cz2YcssybXo7tX6/mj2fcSRO3tk86UFn+e3y4Jj44rrmVqvzBxvuPOvsHqk +aG51BZ9WxT7Y/x5nb+v0PKs4npeXHFN8/bFof7EL/djW32SOoQfbD8z2vR0V +/7aowxj3hJ3wtCv4Nkfrh3SmudHxnIiYPi+dG6X7noJzi3yDe4zgC7YbZcuK +kv3Hn2tz5vT9Ojei/c1a1wJbMH6lyZgT64cl81DJfN+g9VTY06+xL2d7nhJ2 +5+ve1Zn1ndFomTeK1sH9i4MrnIeTh3O+b3/m2A5VHLeVJccH3uPnhsAO7OFo +d9QD7ofH8P88yf+r/fmaX9VoXJmD7VhwF3/ABTwfh1NhP/xClvPIk8djIT8S +8YNfSwqODXfBT7gJ/hORc8yxcU+T7RyX7wPy5c/ABXzWaLy14LzF9tfF4f2S +/1S+D2rvloLvJ0dvDRlwAyvyq1px/q/rtA/wY7v2e5vND+ygrrEPPm9VvC5X +XRc3NdvHm2XXpqJz4Afl41Ml60P/krDhW+2PlbwGj8HYhzf9EXfw64+6zXht +zPHpkOT6NF+umNZL9vnegnkExltyrkfk0fOZ8fxJeHxdce37RuNEh3vGc9qf +bPB9H8vfR+XH/CbzDG70BT/yyrsdJetZVXTdpwaA35HAkFw/EhxEH3rXCJ/T +mqxrX/ABDsGl9qrPba6aawPBtynhM1l039pVcc5MV1xvyGVsohZiNzafq/PH +tD6natzxH9/pF0sjT+HkUPAKDPF3MnKOOBLTbsneFfnxhHx9rNWxeSZzjJ/O +nOfkHPm8VvaO6qvnzX24AXdeK9uum8rOqa7oWdSseyNGnDsWPhDrWsQdLoMB +PF/WaX+pYR05c5bf+qquhZd2mncLg3vkOfm+UXrnVZ0vH1R8jvP0NXCmnoH1 +6qp7wWTmeFMPwGEob9/q8YH1vmRs4M/e6BvEBX0vlf17X9k1eGvU4eurzp3r +NG4Xf3qK7rfwBI7AD7gBNuA2Gnrhxj+SPbnddQK8atGv6oE5uI1ktgGOEGP6 +HX6AEdwFQ/IWG8CWGj835mA/GrpmcsYKnv8abw5y7W3xcEmrewax5X1DTdhS +NWeoAdSo8XhL7Jb8m0Xz7zvNPy+63nyv8ZR293zqHNyh/pM7U1Gr8ZPeT02c +Hxiz//sJrnfUunVV+/hA1W8mfLmx6trQH30HW8CWs19VrIc3XXPkAPwn5kPR +99dHjoPXcN6xBw/eEEejv44GT+DL/706Z6yoc3vanHPwgloJ3nANHsM3ZIfj +Tt4ucOmTirnwfZv5APb8Doemy35rPtjpOkGciNGX5eBvZhuHI3bD0V+Yv9zu +txHvor6IYYp+Aib4DrbdkeOjmefbdfdgq+NNrMGTXt4S+Yg/50Vtg7vbglfN +0Zt2FR174n44+jFx5d2D/A6NqzJzZ7zs/LsvcnBbvA95Jx6J89h6terP7UW/ +3+HEdMQCnPAfrLBpIN5mcHYwcmVRq9+C05G79cgX7jvc5jsPFF1n4Tv5Wosa +0he5fFbV+fd30dw8kLk3fJiZO7Xo7ws7zM2yYvpXs98Xu4MjM8ETcPko3tjg +in6wrcSZizvcA8B1k/SfGLWe/xlrg5PE97Oi86o79uqBAz5Mxf8X6s9MvCuJ +Ae+indHPiD15sb7VPZj++0LmHvFi5loJF/dr/A9Xj9Pl + "]], PolygonBox[CompressedData[" +1:eJwllF1MznEUx8/IUz35Px7P8///pWbEvN+YJlzIpK7MRomYjWJDW3Jjy0tc +VZIubNj0Hk1ZXmI2bxdaGaYX8u5CcV3NGHmd+ZzOxW/7nt95+X3P+Z1zUgqK +s/dPEJE8Tgyn1xdJC4hcAveAm6MibeBIvMi9aSIV3LXEiZRwLiAXhUUeTxap +DYqsT8DGwT4i8gy5BZ+5U0UyQiJDyAPoi12R2ZNEzsSK9BHLRx7j/jtnT6JI +FfEeEa8G+xzuKrkrRPYg+QEuNeiX8UY/+gL0Pfh3Eq8LjtfRR5AfTLSYe/Ed +Qr6B3sV/ELwWLkX4fw0ap1ZsxqaI/IRPOvmcRP4HfkiMJOwzuMvFvxt5OvJb +fEfIaTfxU/GvJod07Js4p8C96DvI/x26b+Tfjc9BdKmccvSf4VgI3se5irya ++L9ijbNyj7rG5QdnFbp6bHJijdMQvleQ54OLyKcdvM0TSea/qrjbDC7jbgn4 +FvVoxT6TfJbDdR11qwc3cdcqFqOZ+KPwDcL3EDb5cB5En41ugJw/wqUWv3Mh +q/WuBHtD30rizTzwe2rR51iuX4LWI9orN/FvQb8T/7iQ5aN51SEfCVmvaA1f +80YPtr3k8wr8h1gzItYrpcQbJv4bx2qtPbUC/+PIozH2h7nw7QvYH3SAP7nG +XWuutZ9JrL+OxTpMzE7i3XesN7OQt+PzImAc7oBf4vME/Jwa3dZ68151yHpR +a5TsWm9oTxRSz6fkmxG0mkbIt4G708RfyvtZ4KP430W+yHuZ+M/y7G+0Z1PA +Z0NWY61tPqcAudEx27QE6/X8kGHt+Qp85vH+SjhXejYr58PmqzOTy50fsPe6 +4LbAs9nQnBaCG4k17FgtSjiXozbLc9AfILdS/Z+w9YzGOAbeEbZa6R82Rm03 +6EyV+jb77WGLpTug37fZVo7KNdG12dH/WgOfE55x1xnQWYh61itaQ61lW9Rm +RXeE7oprvs2K7hzdPbW+7QLt8TrfdobujvEd4drMKE+dKde1mdTZ1BlqAJd5 +Nju648rB8fTHiGO9rzOrNdO8Nf9N6DeS24aw9bb+qeaguWRz15ZoPau9+xu+ +i7Ff5BnWntTe3OLZrOhMjc+WZ7tI/yjHsx7RuDrDW5H/AwwBzzY= + "]]}]}, + {RGBColor[0.825459625, 0.82918175, 0.8009545625000001], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFVktonFUYvUwyTWamEyfz+GeiSWxFXOg2r4JFfCTZVZBMkglVMZpYrCQN +qCC2aRVsfUQX3Sg0U2NqxC5a7MJiQQUbaTCQ2oiCUdHUvU2wjwha8RzPCS4u +9879v8f5zve4s314/JGxWAhhFasGa7E+hI1UCOfx4xg+9GPFsT5IhzCcCeHv +uhCeawihjPN9ON9bp+/z0B0shNC0BTrYn4dMP2TWa2EvEcINrCRsTkC2FusT +yO8thbCAu235EDrxvQ+2GvG7ORnCb/i9ZN81tl/Oab8b9p+A7RPA1AusDxZD +uAC9FtiZq5edBei8Cwy/N4YwmtJd2fbpMwa5LPbWvHRp42hasTGuH3C+At12 +YLm/qLhLefn7MCF+buLurzqdB3E3gJXA+VfgLMJ/NQrhIPS/hc4k9keBuwX8 +7MY+Cj8PI4YdKfFMDOR6HH534P4a5A9mJEeZt7FP4Xcfzq3w83W9uGe+eKY/ +5m3R5104V5P6tpxUHPx2ArG8iP0MMCZg83CDYpjCat0i/OSoxec745Inn2vQ +2Yf9tYL0XslIt8f5qrJe4uKXsaSzIZyGzH5g2Q/5sYxwrYPXGZz34Nycl053 +UfmmnRrvl33+DJy8Cv05/F6M634ZdTCL+0Ow0wM7t8LO3q0hvFFSzo9nlPdD +adUi65D57q+Tn9lI5/cj5XklLY6q0HsH8iPQ7cX3P2olT5/dSfmlP2Jhrc/D +7zliwt6Bu/aEuDqXk/5R2P8J9i+m1QdfFcXz4wXZI3fkjTt/0w9xLrnuyT/t +TWNdSspnFFM8F9yjx+FjJ3MYqc6OuW82blHfsna/BIYRxNXF3sb587TqmDXz +p/v9qQbJUeaZku5vc3zlmPyy5+Yb1QdfpGWLdvidcuzrLtyvNarumMcexzWL +2NuB5Uik2hxOqoZZz8TPuv0lJz8D4OcIVhfivej4KMv+/xG2u4F11fq0w3g5 +Y57E+Tr2oYT6mDNnDHh+hs5VfHuoQfrU/Sat3DAvH+f+nzG7cL8VtbsCmTWc +U1nZJeaXUvLXBJ0SVht8vBdpvsxgPxyJB9YFeWHPnXfdveDaYw9RLxbTbCCW +SdskP2eB40BKs2PYa9Ix0v8BYyAm9tZmvJWEaou98nJGNUrs62nJko8hy7D3 +2IucD/xd8ex63ZyT+6a8ZtwDRfnpsy9ibHLsbUnVJXNGPnhP/Kfgf6ZBeCvG +x1wwjlXXKN+Bst8C+ub8JCfsoQ6fF/x72jt98sy50+u6ZZ9wLjB/VxDrHVlx +dDmnOf9mSbOBtc4aY16WPQ//gfz2rLjutF/6/I+XhOT7/a4NFZTnTstwzmU9 +68gB+4ZyfL84N6qbcz0uGfJG/Mz/syXdc/6Rj2vmhN/bHftjBeWGM4O5Y/2S +w3sKivc7zxzi4cz+NKf5tDunb5T5Pq+clc133G86Odvp3mMPEXuP8U+5396K +9K5VnDu+CXwnmCvWyIRzR+ycR8S/mlctsI+ZT8owllOR4uYbMp1U3RBTh7FT +hu/MnN+aFdf3DWNvc41NuH8oTz42jI2LsrWeA9d9pvyAz0uR8I7nlft2v4/8 +PmgZYkkYz768avlkTjrU/SinWUZuyWGloPe5u6QamnS/csYx36cj+ah6VrHW +bqYlS4zT5mHQcRAD361L5oj1UHL98016OqV7xr1ifvoymnFXPW+b/aawBnnm +zOF/H+aP8dHGqO2wp6eNZRuw3dWomURu9ng+cG71enbdnlfd878buWUdMB+0 +MWKb7DnOu83eyLpHT2b1NrD3zmQ1ZxlDxfyT938BcUVXXA== + "]], PolygonBox[CompressedData[" +1:eJwllMtLlGEUxg9ajc742etcvk8LzSJa1FrSRXTB0V1BjHa1yLI7WpsgMrQW +0cWE3NSiuTRhNAslF0VCtUjoBlkGQULQ+A/kUIFBGf0OZ3HweM5zLs/znm9W +d/ft7C0TkTZsCTbuRIarRVIRkX7seq3IqSqRANC3mEhrIFIC2AmuQO5gQqRh +mchQSGQffpb4HeqPUnsMa4yLvC4Hv1TkNPhu8pXk/4D/iw37IqMVIuex+/TO +ghnxRDaTa8PfEhh2Eauj13yNyBfyTWGRGWwiZrVr6X+W/CK5xqjIJ2YPkC+Q +fwKvJurz9Bpk/jMwo5X0B5P2jdsm8hn8OXpM0ssnVsRPskMLuB3UZfBz/O1n +/+3EjmM5alIh46BcntO7ELXdHjDjK/t+ILaA/5PYOv5vpb4Yth2votkZZjWj +4TX829WmoWrXg71B+7Qz/y41D+HzWGzHK8zLgf9O/4vkL2BvwY8589PgdyWM +Sx39d+PfgENZhb3JKvitJzZFv3f024B/idoBZ5xVoxPgFyJ2AyvA9zqbob1V +A30jfSu9gQPUV8F9nn0Ok5/VfbV+ub31VvQfcsZJueiNraTn74jN0FlJ+PRR +/ytsGgXkX5Yb5iT5Lvj/4P7a6TeJPxXYnrrvHuWCvi88076d2H5i9ezWAb4I +fto3rVXD9/hr2PefZ7eiGiYDu9VXzGxg9j0wnSHTbI762rhx0ZvU25yltlRj +t6A3edO3W1JNH4Evkfei9i2pJuO+3aK++Rj+3oS9jXJQLrqj7qo3lfXtm9Jv +Szl04beg36Bn36BqdJn/Dznjqjt14Kec3Zq+y0awR9C0mfxHYj34ec9uX2PT ++BNReyu90RHftD2H3cL/HLfbmIHP05jFNKea5PG3BfZt6hvpW2WczdRZ+htQ +HzctdV/97fgPMg2kRg== + "]]}]}, + {RGBColor[ + 0.9129594355950474, 0.916160239761895, 0.8776958675986122], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJwtk81LlWEQxecmdL2fvq/3er2GpUHUPxBXUIOCitrW0kyooAJJ+gda9B2B +UbtWpVFGtDHaRIsKvBLkyna1qT8h+jQIOz/Osxhm3ud55syZM/PuPDV37MKW +iJiR9chODkRMVCIOt2XFiF2liEPyO5oRhV7FgxEL5Yj9OttdiOgoXpe1BXKr +L2Jvv+6qEU+V91Hna8qZFdZfYY4KY1J35yvOeyF7LYw9BeONlIyJH5WtiM+H +XnMYEv7Fps+WGxGns4gntYijwvqRi1Nm3LY4DMm6irfJ9+tuVfFGxRy6PcY+ +UDTWfMvxw+S5g8ts1TnUvQJ23brgj2eON4uuD+a4/BHZ8NaIfcrtVM39lbiu +q850w9gjCf+gdAzdb2+6P7SmFj2t5sZdLltrNGEGi2VrdafimLP5pCWYYHBG +vZcF55O7JMwzmeu9U9zNPZ/f8t9z82WG44n/SNP9324bf6LqGvjJFLML9E/v +Y2Vj0O9imis8x1XrV+49+KT4Z+639+ueGfP6x4zqzmvpbFjf73X+rN/55N7Q +/TXxXyo5B66dtFvURDdmtZZitEcj7tClk/aT+YBBj7yFC2/g9bnmb3RHG/qi +Dm/JvSkO1zP3nCvO6p4NswMD3eE6lnhhG2k32Ct4gDM9YMypAetEr/wDYKE1 +76hPPrlnVWcl92yoQ1/U+tIw3gnhfG247wXt8N2W9+Ce/IOW3/B2MZ1zP5U4 +zMhfkt7Pc2tWrrvPzbRHzJBd+tPnHWJ/Hg26H/4beJ2rm9tq2lf27pvOL/d5 +Xx4r72pm7d/UPEtmwA6+rbnX/21GkyE= + "]], PolygonBox[CompressedData[" +1:eJwlkksr7WEUxh+XDva2//+999kX5Dr1AYh9FGHH9Ji61KEQ8Q0M3EqKMjsj +Z5NcMiETGaCQzpAZIx8B5VxK/FZrsHrX5Vnrfdbzvk0/Zr/PFEtqxkqxx5j0 +JyF1VEqtEemC+CAp3ePvVUiFuNRG7o54Miq9gP0ZuP+NnupQSpA7KZKuyd3g +X8a8t5+4NysVlVMrkWpT0ofh6S8w7yjiOav9BztdJaXpXwHTyewzZv7KSF1l +UhWkN/EbU479h02B3yCXp37HLqdfmYldyXu2uXuCu3bg0we+HVtmn9G4c/sA +c8h9x8TrxC3cKbAZcrfEx8YvdE7GxXLzoWtgu+ewN/yHmGtnmu3D6S8YsXMP +979Snwt9tmlcgG91sXPewl8FP13puSe4j8ElEjg3m1GX8tPi7qyb+aZpfco1 +MC1sRgPxb87nhHNbI5+nnuMcYO4m/hX9uxWeG077244Hro298RK4hbjXDbeI +fx5z3zQcoaf2i8c2Kxm4ZqbVVsT/Qg373kT9TyQT/ub21pYzrd9Dx5rmg2l/ +W5s5hB8PfAfjbn/kEyzzXNk= + "]]}]}}, {{}, {}, + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4957, 5049, 5778, 5777, 5794, 5793, 5089, 6283, + 5151, 6251, 5152, 6252, 5148, 5957, 5150, 5955, 5149, 5956, + 6313}], + LineBox[{5233, 5041, 6051, 5774, 5792, 5791, 5088, 5468, + 5469, 5467, 5471, 6084, 5470, 6214, 6303}]}, + "0.923`"], + Annotation[#, 0.923, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4956, 5048, 5333, 5332, 5419, 5418, 4949, 5040, + 5773, 5772, 5790, 5789, 5087, 6282, 5146, 6249, 5147, 6250, + 5143, 5954, 5145, 5952, 5144, 5953, 6312}], + LineBox[{5232, 5033, 6050, 5767, 5806, 5805, 5103, 5512, + 5513, 5511, 5838, 5837, 5231, 5032, 5766, 5315, 5345, 5344, + 5086, 5463, 5464, 5462, 5466, 6083, 5465, 6213, 6302}]}, + "0.8520000000000001`"], + Annotation[#, 0.8520000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4955, 5047, 5331, 5330, 5417, 5416, 4948, 5039, + 5323, 5322, 5409, 5408, 4942, 5031, 5765, 5764, 5788, 5787, + 5085, 6281, 5141, 6247, 5142, 6248, 5138, 5951, 5140, 5949, + 5139, 5950, 6311}], + LineBox[{5759, 5025, 6074, 5540, 5308, 5395, 6090, 5394, + 5539, 5024, 6049, 5758, 5804, 5803, 5102, 5509, 5510, 5508, + 5836, 5835, 5230, 5023, 5757, 5307, 5343, 5342, 5084, 5458, + 5459, 5457, 5461, 6082, 5460, 6212, 6301}]}, + "0.7810000000000001`"], + Annotation[#, 0.7810000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4954, 5046, 5329, 5328, 5415, 5414, 4947, 5038, + 5321, 5320, 5407, 5406, 4941, 5030, 5314, 5313, 5401, 5400, + 4936, 5022, 5756, 5755, 5786, 5785, 5083, 6279, 6280, 6244, + 6246, 6245, 5137, 5947, 5948, 5944, 5946, 6287, 5945, + 6306}], + LineBox[{5750, 5017, 6073, 5538, 5302, 5389, 5388, 5537, + 5016, 6072, 5536, 5301, 5387, 6089, 5386, 5535, 5015, 6048, + 5749, 5802, 5801, 5101, 5506, 5507, 5505, 5834, 5833, 5229, + 5014, 5748, 5300, 5341, 5340, 5082, 5454, 5455, 5453, 5456, + 6081, 6211, 6291, 6210, 6316}]}, + "0.7100000000000001`"], + Annotation[#, 0.7100000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4953, 5045, 5327, 5326, 5413, 5412, 4946, 5037, + 5319, 5318, 5405, 5404, 4940, 5029, 5312, 5311, 5399, 5398, + 4935, 5021, 5306, 5305, 5393, 5392, 4931, 5013, 5747, 5746, + 5784, 5783, 5081, 6277, 6278, 6241, 6243, 6242, 5136, 5942, + 5943, 5939, 5941, 6286, 5940, 6305}], + LineBox[{5741, 5009, 6071, 5534, 5297, 5383, 5382, 5533, + 5008, 6070, 5532, 5296, 5381, 5380, 5531, 5007, 6069, 5530, + 5295, 5379, 6088, 5378, 5529, 5006, 6047, 5740, 5800, 5799, + 5100, 5503, 5504, 5502, 5832, 5831, 5228, 5005, 5739, 5294, + 5339, 5338, 5080, 5450, 5451, 5449, 5452, 6080, 6209, 6290, + 6208, 6315}]}, + "0.639`"], + Annotation[#, 0.639, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4952, 5044, 5325, 5324, 5411, 5410, 4945, 5036, + 5317, 5316, 5403, 5402, 4939, 5028, 5310, 5309, 5397, 5396, + 4934, 5020, 5304, 5303, 5391, 5390, 4930, 5012, 5299, 5298, + 5385, 5384, 4927, 5004, 5738, 5737, 5782, 5781, 5079, 6275, + 6276, 6238, 6240, 6239, 5135, 5937, 5938, 5934, 5936, 6285, + 5935, 6304}], + LineBox[{5732, 5001, 6068, 5528, 5293, 5377, 5376, 5527, + 5000, 6067, 5526, 5292, 5375, 5374, 5525, 4999, 6066, 5524, + 5291, 5373, 5372, 5523, 4998, 6065, 5522, 5290, 5371, 6087, + 5370, 5521, 4997, 6046, 5731, 5798, 5797, 5099, 5500, 5501, + 5499, 5830, 5829, 5227, 4996, 5730, 5289, 5337, 5336, 5078, + 5446, 5447, 5445, 5448, 6079, 6207, 6289, 6206, 6314}]}, + "0.5680000000000001`"], + Annotation[#, 0.5680000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVzrkyw1EUwOETWVHa0uYtbGNGoVEZjTY0VBINQ0mXFMxERalUxmuo7CEe +wU7sfP/im3Puvb/ilhYqs8upiJhL9EU02RmM2OaWNoX+iJ6hiF7ydFNgRntI +XVPjhmvy+qz3HF1kSDOtPWBLs0mLK3L68J7ix/mPX6a0+2zY17nkgqz+y/zm +nU8+mNQ2WLFXOeeMjP7N7PDMKy9MJH9nyb7IKSek9Y/mE3c8cM948nfm7WV2 +aXDsbnQgYoxhRlgtRqyxxxH/0Cg3Gg== + "]], LineBox[CompressedData[" +1:eJwV0Dkyg2EYwPHncwVr6wqS0LiAziREQjSZsRZUZkzsJ1DbKgqVC3AEjS1B +E0us4Qrhl+I37/P+36f45usvL2eXkojIs9sVsdMZMeocYY0KHfz0RPzS5LE3 +4oFFfdv+kXlaLzoLJPqX+zef3Gs1FvQt+4fmkj7hzBP6u/sHb1S1O+b1TfsH +5il93DnGn/bq3uCFW+2GOfsb3vbNk3rOmaWlPbk/U+dau2LW/rq3PXNRP+G4 +/d3aYHfEEBkutHNm2v/EW8F8aq5R5VJL2UszwDArfRGrnPEPzRU6uw== + "]]}, + "0.49700000000000005`"], + Annotation[#, 0.49700000000000005`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV0slXTnEYwPFfZGouxNYf0BxRohwbC6FFnSOKBjtvS8lUodHK0tI5hqIQ +iowZor+i9hESShk+d/E593fO873Pfc+975b65spYXAhhnKr1IQxTsTmE/cQ4 +SeGGENIzQ8gghTRSmdQWm5fQuymEK/SxR59knsw6EknggH6AHudumrSNFOgn +Nobwgbe85x0ftdvt3kGXroduyvVr3L+WeFazin3667Q7t9GgrSdfP27fG17y +mlfR87Tb7C7ikq6Ty5TpV7h/Jf90ca6BvfprtDif4rj2GHn657oXPOUZY0xo +C+3eSrvuIh3s1v8x/8tvllmiTH+VZrtj1GlrydWPmj/hESM8jt6TNt/uAs7r +2rjALv2C+SI/+MVPSvW9nIjePUe1R8jRD5s/5B4PuB99A22u3Xmc0Z3jLKX6 +7+bzfGWOb5ToO6izu5Ya7WGy9YPmQwxwlzvRt9Zm251Di66V0+zUz5p/YYbP +fKJY30q13VUc0h4kS3/bvJ8b3OJm9B20U+bTpJFBOgn6FNdUkkiO/rt+wyD/ +AUfhbjM= + "]], LineBox[CompressedData[" +1:eJwV0cdOFFAYhuHjkjUIrFSUOgyKBUTAW6AMRQXUxIWAUqQJXoRIuQER1MR4 +BUZAXVlogoWOXeQqfM7iyfkn+fJmMpNzozfVcyiE8JzrGSHcSw+hKTOEp+4M +bzpJ90RWCJOMczE7hGre2P49HMI+fzjgH1X217gae4zYNeo8cZd7yyh239Ua +ZogSvSSvbX9o/OQ7v/lFpX0brbHHsF2DzmP3Oe9ZEu4BrUH6KdZL8Mp2R2OX +bb6xxwX7Fq7EXvw+dimdGfcZ72mK3He0+uilSK+Qedt1jQ2+ssUmFfaXuRR7 +DNnV60y7S72nKHR3a/XQRYFePnO2axqfWOULnzlv30xT7DFoV6fzyH3SW0KB ++5bWbTrJ08tl1nZJY5lFPrJCuX0jDbEXfze7Wp0pdzL+P+S727U6uMkJveO8 +tH2n8Z63LPCBMvsU9bFHv12NzkN3Iv6W5LmPaeTwTPOo9wgvbLd83maGXXZI +s3/gHeM+o/G2n+Y/Yp1iIg== + "]]}, + "0.42600000000000005`"], + Annotation[#, 0.42600000000000005`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4921, 5823, 5824, 5490, 5492, 5491, 5094, 5354, + 5355, 5276, 5706, 4974, 5218, 5825, 5826, 5493, 5495, 5494, + 5095, 5356, 5357, 5277, 5707, 4975, 5219, 5827, 5828, 5496, + 5498, 5497, 5096, 5358, 5359, 5278, 5708, 4976, 5220, 5821, + 5822, 5442, 5444, 5443, 5097, 5360, 5361, 5279, 5472, 6064, + 4977, 5709, 5473, 5474, 5424, 5425, 6076, 6078, 6077, 5067, + 6265, 6266, 6223, 6225, 6224, 5117, 6172, 6173, 6040, + 6320}], + LineBox[{5217, 5476, 5477, 5475, 5479, 5478, 5090, 5346, + 5347, 5265, 5266, 4961, 4911, 5481, 5482, 5480, 5484, 5483, + 5091, 5348, 5349, 5267, 5268, 4965, 4915, 5486, 5487, 5485, + 5489, 5488, 5092, 5350, 5351, 5270, 5271, 4969, 4918, 5438, + 5439, 5437, 5441, 5440, 5093, 5352, 5353, 5274, 5275, 4973, + 4920, 5421, 5422, 5420, 6091, 6092, 6075, 5423, 5066, 6119, + 6120, 6053, 6122, 6121, 5116, 6170, 6171, 6096, 6300}]}, + "0.35500000000000004`"], + Annotation[#, 0.35500000000000004`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4919, 5366, 5367, 5272, 5517, 6062, 4970, 5518, + 5368, 5369, 5273, 5519, 6063, 4971, 5520, 6117, 6118, 5913, + 5915, 5914, 5114, 5260, 5261, 5192, 5199, 4972, 6125, 5920, + 5921, 5816, 5818, 5817, 5077, 6273, 6274, 6235, 6237, 6236, + 5115, 6168, 6169, 6039, 6319}], + LineBox[{5514, 5362, 6093, 5363, 5264, 6085, 6086, 6059, + 6060, 4960, 4910, 5964, 5965, 5963, 5967, 5966, 5110, 5841, + 5842, 5704, 5705, 4964, 4914, 5252, 5253, 5196, 5255, 5254, + 5113, 5698, 5699, 5697, 5701, 5700, 5189, 6259, 6260, 6219, + 6220, 4968, 4917, 6146, 6147, 6057, 6149, 6148, 5134, 5932, + 5933, 5931, 6137, 6136, 5076, 5669, 5670, 5668, 5672, 5671, + 5156, 6166, 6167, 6165, 6299}]}, + "0.28400000000000003`"], + Annotation[#, 0.28400000000000003`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4916, 5364, 5365, 5269, 5515, 6061, 4966, 5516, + 6115, 6116, 5910, 5912, 5911, 5111, 5258, 5259, 5191, 5198, + 4967, 6124, 5918, 5919, 5813, 5815, 5814, 5075, 6271, 6272, + 6232, 6234, 6233, 5112, 6163, 6164, 6038, 6297, 6310}], + LineBox[{5216, 5959, 5960, 5958, 5962, 5961, 5106, 5839, + 5840, 5702, 5703, 4959, 4909, 5248, 5249, 5195, 5251, 5250, + 5109, 5693, 5694, 5692, 5696, 5695, 5188, 6257, 6258, 6217, + 6218, 4963, 4913, 6142, 6143, 6056, 6145, 6144, 5133, 5929, + 5930, 5928, 6135, 6134, 5074, 5664, 5665, 5663, 5667, 5666, + 5155, 6161, 6162, 6160, 6296, 6323}]}, + "0.21300000000000002`"], + Annotation[#, 0.21300000000000002`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4912, 6113, 6114, 5907, 5909, 5908, 5107, 5256, + 5257, 5190, 5197, 4962, 6123, 5916, 5917, 5810, 5812, 5811, + 5073, 6269, 6270, 6229, 6231, 6230, 5108, 6158, 6159, 6037, + 6295, 6309}], + LineBox[{5262, 5244, 5245, 5194, 5247, 5246, 5105, 5688, + 5689, 5687, 5691, 5690, 5187, 6255, 6256, 6215, 6216, 4958, + 4908, 6138, 6139, 6055, 6141, 6140, 5132, 5926, 5927, 5925, + 6133, 6132, 5072, 5659, 5660, 5658, 5662, 5661, 5154, 6156, + 6157, 6155, 6294, 6322}]}, + "0.14200000000000002`"], + Annotation[#, 0.14200000000000002`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4907, 6094, 6095, 5807, 5809, 5808, 5071, 6267, + 6268, 6226, 6228, 6227, 5104, 6153, 6154, 6036, 6293, + 6308}], + LineBox[{5234, 6126, 6127, 6054, 6129, 6128, 5131, 5923, + 5924, 5922, 6131, 6130, 5070, 5654, 5655, 5653, 5657, 5656, + 5153, 6151, 6152, 6150, 6292, 6321}]}, + "0.07100000000000001`"], + + Annotation[#, 0.07100000000000001, + "Tooltip"]& ], {}, {}}}], {}}, + AspectRatio->1, + Axes->True, + AxesLabel->{ + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + AxesOrigin->{0., 0.}, + DisplayFunction->Identity, + FrameLabel->{{None, None}, {None, None}}, + FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines->{None, None}, + GridLinesStyle->Directive[ + GrayLevel[0.5, 0.4]], + + Method->{ + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, + "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, + PlotRange->{All, All}, + PlotRangeClipping->True, + PlotRangePadding->{{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, + Ticks->{Automatic, Automatic}], + GraphicsBox[{GraphicsComplexBox[CompressedData[" +1:eJzdvQeYV0Wy8I0554Druua8inFN6B51zavumsOaV9ew6ppzxBxRXHNCVBQw +kEQJCgwwhCEMMzAMM8DknDCu2Xem+/yqbtXhf0fvu3ff5/vm4Xma6u5zTnd1 +pa6q7v9WF/zjxIuW79Gjx/Gb9OjRVfbb9ujOf8OTHulfhPMELh91Ree/Atde +JHBoLi8RuCxWCPzjT11/FQI/GZ6vFnibLrBfrcAfhMfrBT4yfLBJ4IXh/S0C +/z0MsE3g+LfUwTpP5gfM/Gx7kcDMD5j5ATM/YOYHzPyAmR8w8wNmfsDMz67T +Ugfruvl52vnlufnlufnlufnlufnlufnlufnlufnlufnlufnlufnlufll6XDZ +6+bnWSQw8wNmfsDMD5j5ATM/YOYHzPyAmR8w87N8tNTBylfLpsO8zLyA7foV +ufUrcutX5NavyK1fkVu/Ird+RW79itz6Fbn1y8qJZfNVXmad/LyAmR8w8wNm +fsDMD5j5ATM/YOYHzPysnFvqYJV7y5YTeRm68+vk5wXM/ICZHzDzA2Z+wMwP +mPkBMz8rt5cmueT4suVeXoaPPN35dfLzAmZ+wMwPmPkBMz9g5gfM/KweWprk +0kvLluN5Gbng+cjTnV8nPy9g5gfM/ICZHzDzA2Z+Vq8uTXLpWebn5baXc14u +eD7ydOfXyc8LmPkBMz9g5gfM/KydsDTJZTcwP6+HvNz2cs7LBc9Hnu78Ovl5 +ATM/YOYHzPys3bM0yWUHMT+vV70e8nLbyzkvFzwfebrz6+TnBcz8gJmfteOW +JrnsOubn7QSvV70e8nLbyzkvFzwfebrz6+TnBcz8rF26NMllpzI/b/d4O8Hr +Va+HvNz2cs7LBc9Hnu78Ovl5WTt7aZLL7mZ+y7bjvN3j7QSvV70e8nLbyzkv +Fzwfebrz6+TnxfgG5NhPDEiOCv+pkn5xvDUZmOcuD++vk3Zg2uN02913dRx8 +L+JxrLwfmPcB0z++N1/6A9MfmP7xu4Vu/IVuvIXSPwyv3zzpD0x/YPrHcqH0 +B6Y/MP1j/WLpD0x/4O7WBTx7PObCq8eLx6PHg8ebn7fHk5+nxwvzyoUH+54q +Ke3zde75OmmP/NQg7cC0PxEG3CztwLRvHebTKu3AFn/tDn/tGT7xfJCLrj3d +err0dOfpytONtdNqMniydk5NBq9WTmX5nPf7dfB49uvg8ezXweMZGHyCZy9X +cq2Db1/2vJY6Od3uvrPUPe/t6gHOrsyO09rZY51dOtbZ2fnOLs13+qDQ6YNC +aYdOaAemHbqhHdiu52Jp9/LHz8OP24/Tj8uPw38X2PZT/vd2t5cLni7t/qRB +YOgOGDrzetfTVa519+vq19Gvm18nvy5+HRiH51u/H/m582T8zNOuo5djwx2c +l1g5VuDaixz/lTg5U+7kQ8V/7DvAdh9U4/YNNc7OrnF2ac3/9XvieJjXEIHj +ekwQOK77dIHD8m07V+Dw+VHzBY7rWCZwHN+S/9h37PuxJ/ul61Mt4wCO5Sh5 +Dph2xgkcXzdZ+gPTzjyArwyvmyX9gWlnnnZ8xW59iqUdPACHbj8tkP7AtIMn +4Mivi6Q/MO1+vTyecuHF47E7vHg8docXj8fu8OLx2B1ePB5z4SUXHu28Kh0e +KqXM1S/KyXppj/zaIHCUm40CR/ncJPDIUDYLHN/bIvARAZ9tAsfvtbv1q/5/ +Ng70QFy3jgS+tXZWtdT7fpSWPjqSXM9R8l3ks7VjF7t6tVutnqzLrKO1Ryuk +tPU1Mi6rV3Q+fvzWTq5y61CVoUcPW32U7WftdZ0XsKeXZeMTv3bucVq9mXtc +ucZh6WOp9O9h/pZm6Mjqh+xzdj5jxU6htPXDM+3Ux/fmS39K6rEvfDv12Gv0 +p6Q+9i/ItFOPfUd/SuqxX3w79diD9KekPn6vJNNOvd1fL3T7xcViH/l26uEj +1gu70vJbg/AhdibtwLRjd9IO7P3Kdj9bl/mu90fTzjiRj3zftjdIvfULazv1 +ueZh31sj8pb50E5JPXagb6c+F16A+Z6V3+3STkk9dqZvt/5Yz0fDc/IJZS4+ +oMxF55S56JgyF51SWr3QIPRg4xjZdabMtS6UufBo/dTtGTsXPW3lbpPjnxYn +X9ud/6c9E//JJbeRw3Z/1JF4+er1sZfzP3fcucbp8eHtmu7G4eFc8/Tzis8N +cXYF9vIoZx8rvG1q92IPexg7F/vXw/E7xWLvejgMs9OOxb71MHYrcsrLEc/n +3q5hvXjew6wf7/Mw62nfrzDrhxywdDhK8O3lJN9nvbxc4/u0w0+0833a4VOr +F5pkvjzHOHiOfrQzDktHGhexcYUO9x4dpx2X8q21Y/LFDrHwcLcfG+Xk51in +//OE7njO6vd8ga38LZbnkKO8Fxg5DF3yHHKV9wIjl6FbnrN6qUFgq1dbZD2Q +E6wrsNWL7fIc+GZdrN7ROAf4tfajxj3Ap42DFLj2IoGtHqoSvcN3/t3v9fsR +a9eofwn+t3pO/U3wn4/jevuIevjRx0FZH+ja2zv0g199XNHbG9Rb+h7g7IMB +jj4HCP1ZuErkvKX/sfI8MM9buEr0gOdTa4/kO/rPl+fREzyfi4953sJVokc8 +Hng+F5/zPHrG483jwc/LywHeh17yePd49Hjx8/Ryg/d7f5ZfB49Xjyc/bz9u +/x1guw+oF3oHpqSfteMbnV3TIPROP+SS1asqB2m3erYhpxykH8+hZ8Gb1RtZ +O6Y7O8XbIeALuU7p8Ri/o/4zz4fIXeoZt/U7jHLvmyww47bvLRaYcQMzzv/U +d4CtfsrKaUvXHh9efo114853zxe6ecxzfKL8+9/LyX//dyyscTkbX67Kqae8 +HvJ6xccTvD/Q1te5fUqNq69w+BgieKK0dDwh4w+i3vrP8518nS58B14pqYcP +wTMl9fCl98dQj91r/TLZfZuVb6q3vR/B2xXL9vNk7Qq/b7HfydoVfl9j/STt +GTvCy0svr/3+nvHwXuv/1vd7v4mV797v2e78BfXOb1Mv87V6pj3zfWBrnw5x +dMJfodsvzJN2ay8Nd3ode3ihtFs9jTxanHl/hPOc/ZXn5Iqev4Duea/lg4Vi +B1s7osDZ6bnmnZexK2J90c/ES15mX/TL8JaXmYffN/0yPOdl8ODn5fdZXs7a +vEDVK1ZeNjg/i/oz/T7A2/m53uP3AVZ++vNGA5z8HOLWfYDIyWXL4Tx5Hpjn +kcM8b/sVSbuVv16OF7jv+3Mm+fK8lfMl0o6c9nqA9/C8fW+J0DPP08/mfxaK +nPd6hPfwPDDPQ988Tz/ohnb0ptdDNo+/TGAbL1soz3s9RT+bd6N2gM07aRS7 +CbkIjHy2+TQdGT+4zWdvF5jn+Y7Vb82ZfYC3++lv9VN9xu7PNc7Yvza1Mzsy +4+R99I94ww+gJfX4P2y+T518x+YFaX38Xq3APGf5RuOb1Fu6HiWlt2/iY5Ol +pB66ws6m9PZNnH+xlH4/gh1OafNKWjL2gLd76Gf17ASnfyZk5m3l//TMvJEb +wH7e8D2wnzd8C+znbc9jLMnEsZYdZ1K6iuPN0qGnF4sv6EPhiL8mt79pkfb4 +vMKxbHXr0u7iZe3u/W1uXNrOPKyegU6HpnAfgeO6vJjid6Drl5fZN/PeuH4T +0++NTvH1sdRb+2Fyhk5iOSNd5ykpvU6Veuhh2fvygrR+bvJheMHs9DuFUg+9 +wCeezmKJfiGeNl/qoSf4yNNhLMvS75am67pQ6uN6NMq6RLprFjjSY6vANg8O +Pwh0qXD8jo+zEp9oFHoEhh6tHUO8okXoERh6tHZOe1Ianm8T+gOG/qxc0HM7 +Xg8A2/fXOz1Q7+iln8unGuX08GRZH+jF+s2KnV+1Ueg0Pj/SfW+40GF8fpKz +T/KEzuLzM108q0DoKI63yPkJi4RO4notcPlZJRm5Bl78vsrj2eK11tmjet4F +PCLnmTcwePV2JbCNk0zPYScWZ+w6YPgKvDFvYPxH3q4CjuOrFDxRUo9d5dup +t3RWJ7C1r5R/LX/UCv0vG8/erqh38rzeyYX6zDrxvLf7rF7TcdLf24XWb6vz +oL+3xyyfZucZ8VeXw04Cr0ukpJ7nrN6j7F5OIhdt3L7B6eUGeQ656OOaVi97 +vZ2Nc9p1a82srx+H9TPVivy242oQPYveRR7Bl8DoVeQRfAmM3kQeWftxruhF +5BF8CYzeQx7Bl8DotVxyYdlyoDgnn3u+hl/hA0unbYJP9IOH8VcyLivP8gQG +n+Cdcdv9boGTdzOcPVPs9ESRwODbrssCp7dKnDwskefAC3hC3ln5WOb0CvkE +A0SPQU8eDxY/Y0WvQV8eDzafOV/0HPTm8QB+7L67SOjP4wH8xPZ5ogehR48H +8GP3zeVCnzafvsLt3ytFDsXxVoq9ZeVsvcg15DHt7AdoB/b7SJvno/ISerbn +zTsy47BxLpWPPq+DduSlnUertCM/ea8dp/9OsxtHk/tOqxtHawYf8b01AuMX +jnZ6R2q/KL7sPl/lJXQKnUOn0Dn0auk+X+gcOoXOrXyaJHRq80QKhc6hV2Do +1MqB+ULnlk/VzwmdQ6fQubVrFjh81QndQvfA1v9ZKXrWyi3vLxzr+E/9cd5/ +xjzBt9/fsR7gN4K6fwP/4HPZ+7NZgj+//wK/4Cs+p/srK1cniryzerGfgwfI +utMfOc28rLwbJTD4gw5s/7mOzoqdnC0WfEMX9EeOgxfmxXeBWR/ohP7oA/AG +nfBdSzfzRF7SH/lo48GVabuPW/QT/MXyRZe/PUrwA72gF8CH5ZMpogeYL/OD +XpD7zIfxQy+sf/zOcPGXAvcwf6rPmZftr/s55mXjnrqfY172ed3PMS8bN1bY +7udqnX1Z6/yo9c4Pq/drYPfb/aDeT4Gdb/eHer8Ddr2PG6L3sJPAs8X3DMc/ +c539U+LslDIp0cPogwjrPoN5Iw+t3yO7f7B5hEOF3xkv/Mt44UfGC39Zfpzn ++Guh6E/7/Wa3b2nNjO/nPuf3Cd6vuGy/oeYP2/iO3mvn6dzTtafj7ugW2OZ7 +Nwod2Xjt0gxs7foK4Wtg5A/ryXxy8YnnC88HwHG+Q+S9Pg+NEnlBael/rrOf +Na5m3zfD2QOa78B7KKFD9C/0SMl7KKFT6+/QfAjvH4eO6e/zI6xfRONONn7q +88Fy+RXaHL47cvBHNq6TK0/A85V9b72j/6x8oN7Krz5OPrzo9tcjBbb2z1y3 +b5or+szKj5kCo8+sHFR9gT4bldoljMvv+/0+P35H5Zbfx1t7k32QylvvJ/F+ +EIvHdidf+4lcZj+OPuJ96B/eZ/1I7W4/3qMH+xTr9+5w/rGhwsf2+QluvXQ/ +Dp+BJ8uXZc4Oz/oLrV9L5Q3yzOPT+1m9X+Pn8pH3I/28dVL/k6XvIYIf8AV+ +rNwqcfuEMufX/t/DO/oefNp4tO6XLd2p/Wr5u5/T96Mc30yWcVm7X+Or/VJ9 +iF6w8n+I6EfaPZ5s3vsAF78dIvY37T7P194TMkTkMHzA99FDfJ91sfbzWKdf +Jsj3aef7tNt7PCbI9y2eB4gdwffQczbPYbp8j3arj6a7+0qmy/dYR77HujBu +YJvnUyjvZ914PzDvt3brgAxega0e13scwbsdr9KFXwePJ5/HYuMc1c6vVSV0 +yvv9Ono8e7z4vBZga49pPoq3D+jn6dTTjV9Xvw7gzc/Tf9fmv9Rn4iDYgchR +e5+h5iEiT/x9fT4uSD//HtqRQ/ZewfZMXrtdr4GO3j4WGL0OjF63eSxKX+h1 +YPw//6nveDrAH4WfknXCL4ldgH7HLrD6oZ+zb/u5eGk/oQdgxgEdWv0yytm/ +o1x8dVRi5anm9Vi6LRN9Ye3tyQ5vuePUwDxv7wHx51n6ZeYBzHe9vMmFN48H +nvdxci9fcuHd49HjJVfc3csPYOxAm39MvkLuvGBgey9WZWLlb6XjPz1/Ye9p +qnTzrs7QV4T7OHp70b1nlOOrkY4+RrvxTnbvm+TWc4r09/QSn58pMPsLay8U +u/kXOXrXe8SiXFjg+HqB+16puzdskbSzf7fzXezosVrwZsc1yumL0e67k52+ +mOLk2yxpBw8Wr8VOP82TduZt16VU2m2cslrmZeet51Ws/szSIXa5PY/r83r0 +3lziL/99HlCTOxfSXR6Q9we2dpMH1O7uh82dB8R3rH2u4+f71k/T6vIs2t19 +u+0ZfQG+kXvA1r7l3uclAqMnfJ6Pz6u28ni4++4E156X2RdYeTw8Y5fb9rxM +XjRwfF9BZl9h5fPwxM57gmvPE9jrNd7v86Z9npLft1g9PDyzb7DteRk73+qH +goydbp8vEhg85MqTsvd1NLr9YmNm3xLLGWI327zBfLHjsZtjfZmzm7Pnt5at +14dn1t2vg5+3zVOpk31x7Kdw5Ce9fxw7LfIz8mixwBEfS1zcodG9T+HIjz7/ +qNm1KxzXwecftbp2hX8I42sVeWjvs2mQfrFeYZ9nG8fd7PDU5Pwzei9MHHer +m3er+57Go+136wWO69gg6xzpBD/esJRe3hA4vm+QizsRTyQfcZzAUa99InQS +9dbU9Dsz0nEoHJ+f5uJv+JPxZygcn9NzEuwD4nPse+cJHL+neRnsE+Jz+PEV +jvgCrhA6jPhXPIIP8Gfx8YbA4A982Lj0DMEfMPgDH+CP+YM/YPAHPsAf8wd/ +Fj+6bwd/zB/8Wfx4f/7wjFz3ctbLdS9n0XO55Czt/1M9au2eioxdjJztLi7k +5XT8SjZOZOPveh4KGPkd+w8Ve8/u54oEtn7JiWL/+fNK3h/Kd6yfUc8fAaMf +rJ+xMnOeCNjmI5W4/YnmMXk/Kd9h3t4v5/1m3s/l/VTer+TX2foDlF9j/9oc +fhntx3M+rm39L+q/sfEEPVfk7+mx72t072nMxMmxIy3c5uIV2d+j8PcE+XHZ +cyX1zp5uyvilgP24fNweuxo40neH2NHA9n7chkyemfejW/u9JeMXs+d9WzJ5 +AsB8H7sd2N7zq3maPu/Nx/lzvQeY79o8Kb0fwO77xjq6zhcYe87uM709t9DR +/eL/2Hcs/zU4f1q92GvESa1/rVHsM/yarKOlf/INFK9x/Lq/o7RxuGY3jmbH +d61uHArzHsbB9yx9+zjHBIev6U7eqTyzcrYq49fyeszLDVs25uDTLF9An5E+ ++olfAxj9Hfu96OI3o8TPYZ/LE38Icp1+/l4r9GJ8fIrIfas/9V4r9CL+EhvX +Lha9CIxejOOeJ3qDfv5eK3uutlT0is9jtH4kzfuw8Wrv1+vn+Gmk48dJrn2m +40/1g3k/l/djIY9sXoGey/Pn7vCH+Dis99d42PtnvP8FOsM/Y/srPbLucZ4D +ZV1tHgHrNtXtZwsF79iv1r+/sBu/flYOWLmj+gc5YO8/rHX2gsJxvL5f9lyv +3Y/p/brwieXHPOFH+Av+83mg8JfNa5zh+K/YfUfzHP25DPjEfkfzRFgn3uvz +Om28cJ5bx0p5P3xl+bJC6N7yWan0y/Ue+lk/p9odwDYvq9XZgw0ZP6fni2X7 +DZtyfsfGC+qFT6yeahV5wXojL+x6znR+ID0nCt7AN/LC5oe0yziB7X277TIu +9J/N48t1flj9GPg16O/9GsDL9mtkx2XjMPUiV6xd3y74g2+8Xot4HZaO6xmX +TzdU8G35SPUc+/tIdx+6vPWJsj7wldd78bvkoUwRe8zKxSLHZwpb/8hssd+g +B9bf8p3qxTg+8kmKxd6DfqAXy0cK4x+I/UvFPoTesPvsujc6f5b67ZDT9Ae2 +v/Om/jLkNv2B6Y+fztKhxiXY5+EfA8Y/ZulLzy/D77Eeu1bh+P0mFyfw9z6j +L+F7heM4Va/6e5wtveOnUDiOsz1jJ9v3ZeWO5yNrf/UT+rV6iTyXPs4//aKz +x0YJ/Vq9NVf41OZ3jXbyfbLQr9VbJU4ulgh/oYdsvn55Jn8KPgW25z8qXXyy +wum1CuFTYPjL+pv1vJA9/5m1G6xdsdh9pzbjdwb2fmeL9+GCZ+Qb9fSjPlc/ +i/fhgnf73GRnr0xycQw91+f1mu9n6S9P1sk+NyRz/wh0Sn9LlwXuvTNy9mOd +gVln22+I9GP/Z58rdnRfJHROPf28Hvf94Adgew5L43n0YzzA7EeBKeEr3gcf +UW+/m7uf/f0W1R+WT4dIP8Znz0lOz/gt/X2V8DHvh2/9uUvqc/VjPPA54wFm +PMCMBziyzXyBKa2/udLxb7WL31fL/s3mZ2h9rn7+Hmz0jdWHXt/6c/Qt0h/Y +/64q/a0+qXX3aWjeus1D03H4uHvEf4fY0zxv89R0XPjR/H0A9p7+2ozfzfqF +/P3deg6UeCjrGtdN88zs/Zfzpb/1d2semj2XoL+LafO0q1z8U2Hok+fieAfK +c8D2fs8J0p99NP2B7TymS//I51OlPzD9oX/6R7oslP7A9AePNt6cG6827q94 +y4VXG6dXvOXCq70vv07sUeLV1k+Z9ZMv+97fZnnO+hvV/2b9nq3OH6H3V8IP +3n/u/XZ8395Tpr8PZdenWvCB3LD4198Jsuvof+cTf4WeE/d+jViv/if8JvS3 +zzU5f0iTs29anH2j8gA71e43lb8ZB/3ZDwJ7f44d5yiJI0Y8jHT27XAHD5Dn +4Eeei+s1Vuwd+C/Wc6433/lZpoo9wn4u9i8W/hqV2gcRnuf0+3zRz+zH7L3G +C50fQO+NtPsi9XtAv3bf0+T8GK1uX6P3lbEedt3aBQ8Wz3kCgwf6xbLA4a/I +2W8KW/+H3s8IbPGgfmBg7G/0OvIEvY7csHSp/MC6IccZH7A9zzk0Y7cxXhsf +LhH719tNNp5PfLjM2bmVLg5R4eLDFZl9GeO16zDE2dEDBO/wAf2tXTUzh508 +VtbF8onG0Xnezk/vM7H2bL6sI3zl18HiVe1zi48FGTvUxsnKhS95v183YB+3 +5/3oSd4HzHrB59CdvXdAz+3wPU8HPu7v7Wd/rw1yg+/5+3SgGxvvqpDvebry +eQTePvb3XI0y+qjC6bGKjP1sz//qeTb21+y/rf+mwcX5FMZPtOw4dYv053vo +e3seWu3bZdvDmjdg7zFRu8L6lTXPBLlr7y/x9rLGs/15bewOG5/R3+1Abtu4 +tdrXzIv3I995P/rU6uUOWa/YP5vXTpmrX+Rj6FPz6KFL7Blg2r1dnGufZ+1U +hS3fqJ1rf2+pTtYJPWDtw3rXL7fd6enH0ofGtYG9/WjXuyMTP7e/O/GiyHn8 +bsjtyK9TRO7ac8FFzs+Fn65U5IrNq690+K5y++MqJ2+qMnabjQf58zzsDzgP +yzpWCmzjOXVCr6yD5V+N89Df2j8K0x8/MvKG57GvbP9Gx9/qR477WY2vsv7W +X9vs+LdZ/MjR763nTqAH+NHer9Tm9hFtSd/wXJuL29Y5fzbzbZT5Mn5gmyej ++yHwYe8TbXT7o0bXL/c+y+KjyskPf8+Vj7cOEPscfoD+YzlW7Bz4A34YldoZ +sV+xi+vo73xil9h7YvQeMWtXzHN2RaXYC5Zf1L6nH/xHP9bd6hnVA9RbP5LS +Ke3Wb9Tg9I3GD+FX+iGPWAdKy1fZ+CB0T7uPB1q/VENGP0H3yLWID+IXIyTe +Z/XESLevYD+Xl67fh85unSR0AP3EduzTKc5/ONPZt+TDaPwOPUM/1hn6iu9b +IPG6OEzd70E30FvEn8bnbH5RufAPeCMeB97t71po/I12+/saPi9e89B93I11 +hM58XM3SR0smbgZ9sO4+Lmbtl1luPz9T9u/gNcLDBe/QA3iM7XluPSa5PIcC +x7czhS/j80XCl3zH5kNXOj3XIHi08Rz1J/N+71+2+UJ1zs71crxd8G1/n7FJ +/E5WHuh5fuBItxOdHp/h4BKBLd1qHq/1Uyns9b6/Hx45g7wDhu/tOvRz9kcf +5y/0dlq9s+eyvyNm9VSj02d6TtTqsWYXj212+Y7NLg+p1fnPW12+bTYv2H6n +zeG7WuxB6ATY5o8tEboDBp/IK/Qo6xrxr/c3jEr1pD13pb+fhxxGv0JfyGEL +50t/9C3tVg5rf+Q2/aFX+gMzLvqjr2m397prf+S8zdOYkSPOOE/6o+9pt/JI ++4Nn+vv8Rxs3X+jiVKXu3r8Fmf6sm7UfsnE//GH0t/a9xv98f+vXXyz87uN0 +8J3dH9dl4j02X73O0XddJt5j8xHr3P61zsV/6ty+tyqzb4mw7kfje6ozdrKV +G2rfLtsubnFyo1nkgh+/zduqc3ZXnfOvDhE+i3geKHwGbPlsgvANfjj4xt5n +OtnRMXbuVOEDYP97CNB1LAuFroGha0tnxM+UToGhU/v7kJwfXCh0B2zzeL09 +ov5vu+9qcvu5JrevanH7Nf09cdbL5uO2Cx+yDpb/+zl4gNgN9IfPWBfwwHoC +s/42X+Bj4TvWyeY7T3b8me/sy6nODikUPrH2baXQRxxvpfQHH/Y8uNob+Hni +dNR/wPyA43uHi56y+qBS5mP750l/qw8qxZ6jHXnM+lo/mfKztTMrxb7gPZ7v +rL9liNs/DnR5g0MyfGj13wSXH/+xyxOckOFLYK+PaAf27Z5vvb6x9FCaafd8 +7PWJja9n9Y3na2sv1jn/aVaf2PO9Wf3h7SL0RVwX5Lz6pS1dq1/Symv/e4Z6 +b7a/T2TZ52X87wH58zLej9Mq8iqXnY8cQ7/EeRSJ/EHexPnzezt6j7v1Q4x2 ++aGTRV5Ap+DN2kWVjg71ng34Jr5vpNO/k6U9jm9Sxk63/tX6jF1u/UmNGTvc +xumbM3a3PTeg9jb4tnHSNpEjyCub35Un8tzKH73XwO7zSty+qFzkjz1/Mlzo +1sq9avedavkOsF3vavkOsI37V8s+H9jGPapdXk+1y9vR+7L8OUt7PrfencfV +ewvxR5IHST4tMPTCPsj6cbX0fnkbD29wdNPs1rnJ0U2r6Al7f0ir6HX4zZYD +BC/ebo31Glf38sk/j/6365ovMPoZOA5jnsA2r7ta7Kv/1Hc8HoCRn8Dwn6Wn +Vjeedgdn6fj/9r3/23z3P+Uzey9njZTU232QltSjB7BrKKm38lntNOjC+s9H +Ork+2sn1fGf/TJKSeuvf8/f2z5SS+vi8nnPAfonf0/i/tYO8n71U9J6Pe0Gv +Pl+VeuwVe25P42SjUvmEXqSkHvmDH5VzCvgH7bkb8quaxL+O/MGPyjkD/Ovs +S9BXnCOI72t3cfR6iVPhNybuhJ+YOBJ+4fhepTfrR/PnWBudH0zP5Vl7RX8X +0J5rrMnQPXFk6x8lvqClzb/XeJ6N62n8CzzYuF2j6B/wYuNy6DONt1FSz/4n +jrtK4LhO+nuhkT7wE2fPFQLb8wF1gr8A/pfflcNOgd9sPpDeE235pszxRYXI +Qd6PHLTvL3B2UJF7f4l7f7mze6CjJje/Jre+em6IOCkwfADs79khLmrf1y5w +lBMKx/F3yPmyCF8jcJz3IwJH+u0v58li/zHpvLEX8WMWJYtCw5x0PYgL6n0t +8bnSHPci+XuPWl17bjuL8cXxjxA4yuMPZLyxzBM4jnuyjD+WMwWOeJgl84ll +kcBxXsUyP+JgwJEfFwi9IQ/Abxznu1Ladclz/l34YIKUdt4FQr/ML85/upR2 +3fQch12/uVJSD71D/8w/tmtJvbULygQfsb1MSurZf8E/yBPyI2zeRLXIM+gD ++QWMvLJ8lL3ny8sf7skiXyN+j3GpfvPn8ti/2jwKPXdn48bZc3V2X5Y9Nxf5 +WM9lUVKPvmVclFYP67gorR7WcVFaPdwu46KkHv2PfYq+t/vOVueXrHN+CI1X +2fwkn5+uv7/l9z+sE+uI/UFJPe/1+yN7D2Sz2CeU1DMOv39inZHT2C+U1Nv7 +DtoFD+AF+oRuKe39dLrfw85BrlJSb+8XUTsIuUtJvb1vpFXsJOQyJfU9zJ/+ +3jEwcsrqmQKRb8glq2f0PJuVQzNEHln9XyL9kD/IKyt/SoSvrF7W80DU23Oz +et7H7+Npt3HpWvkO7f5efn63Jw53oOxXKKlnH+L9q5H/p2Z+F8z6R+e7fcBC +iZdav+Ziqbfx2ErZb0G3Nq7DfGpc3m+N88fVuDzgGtlXAdu84BrZRwFHepnr +vlcscPzcfIHZJwFbf2yNO7dXk/ndgP+vzwPYjlPjFdSz37H9GwS293bVOH1X +4/zYNSIHga0fu0bknh/f/6txILmivOjj/Aj9xF8R4Urx68HP1g+h+R28h3ob +v1U/h52PlvRD7tv9nt/fNbv9XKvYQeQfwtf4Q2wei/5Okb1XfIn4CYApPb8g +r+K8Bwhs5dsQ4R97nmKswJT0s+copoofBpiSfvCXlYeFAlPSD36z8lLlJyX9 +bDxXf//JngNc6Pi0Nn1vh+Db3gOu9q2Vt7pv8/oKOWzt2Ha3DtzLPMjtO/w9 +PR+L3uaeT9tP7+kB33HdOP8yze2rfD5hoej12E/vTUUvIwfBd+yn96TSD32O +XLTnMf09qeWZe8Kx27EL/b3f6H3sPn/PN3ofu87f623tC12fn7tvgb/YF3HP +MPsS1oV9o12fCYLXuLzTBW/s68AL+zbkGnrBn4Ox+yHsAY1LwL/YKTaePEr4 +NYJTXP7+5Iyf1MaLZwk/YtdQWnpRPygl9AH9gy/oG3xBv+AL+gRf0B/4gr7i +c2WyP4WPKannu4yD7zIOu07T5LuWTzwflDk6VzqhpD72HynygHWhPuJxhLtn +eaT04znq6cdzsZwk8oN1pT6+J8/5KyZJP56j3sodvV8DeWPpYqb4bSwfzJR+ +Vk7NdHJK85+RT9AV9fG5IrcP0X5WrhU5uab50sgza89BnwuET6mnn5WDC5wc +1Pxq5J/NI8IPVS58T32ueyus/6pc5IDNL9A4AHIBORHbqzP3RlAfv1ct+o56 ++vlzdPTjOXvuRUufZxbf1y7jjTD3sakfmn48F9/f7uS31sd59xG7Efnt7UIL +q50TxzNO/Kneronv43eN+R1utWNifaH4W73dEt9D/ua8jJ0S3088s9StS/ac +YxxftcgT4DifSsEjePV2rbc7vV0Zv6d2o5XP40QughfkInhALjJv5CLz9HGK +OE5vN9XK+sbvveHkod4jb8cxQ8Zh5YO/532h46t68Udhb+Bfwr7AX4Q9wfhi +f/0dAujfxqE1L5SS/YS192tkPXmftbvR59NdnvJc0dOxXn9/3J7bLRW9hz8o +4mtw+vx7st7xvRNTuh6fzkP1c3wO/8+09H0zhB6sP3tusl14TvV3fB4/9fz0 +e6rP43vwS/N7jXrvrdfv1If+b6T7qDY9F+D1MfURz/wem/qZrX3lfz+O84N6 +3xZ8x7oiN+3+sUr4EBj6oB+w9RNoPlnEg9KH/R2AMW598mU9kE8W//McvksF +b+CR+YKn2J7y5z51gkfwRf9QrF/p4qk6b7u/rnJ4qhE+sfIr13Ma57TnQv25 +Pq0HtvFgpSMbf66V79vfTapz66i/28160Q+9B2zPlwxP7j9/uRt3LRgh9tea +f3hzxZ1W1/ssTpk//bixvfT+ijl73VgwcFBR6mcpST67bbWlHb31foqe+S9u +uP/s8uT0Yc+feOcPFcml1ct/NqWXrsfuu1S+d9HN1cnfP7/z5i/G9k8+OmX9 +ISeXvJ4cvflqczZ/a0xy1Z+KGo7fe1xy2VaDhm51U37y/ei1Ph79+045O2LW +NyNempNst/2vVhi4R2Hy09Y3b/X6eZ37838M2aFjUqecvXyNI1o/K02u+Oig +Y/c7dWFy5AcvX/a7+xYnTy5XeNXdjYuTfX569sjxa1QlZ2437JiLDqpK7rjy +D/94b05dcvpRO1++6itaUr/uU48uV7xJY9J8+bU/7tLQICX1Az6c/9S/zm9O +7nhy3BMn7K4l9Xsv2nz7zYa0JuuOWmmbG27WkvopPS756OAv2pP+Zcd/8EJe +e9LrzfVvrT6lJpm82nOPLinoL/B5ybfPXpb/usDX7fR06Qbvj0l2TeHksCOW +nLHLOGlfYYd//G6z2/IFvnDkkfuNP2CqwMeOfuqO9/rPkefP2GbUhLd3KxR4 +xnaL/tr/gnnS/+7Lj6r7dKLC7Vde+WDTF6UCv/pB2Wq9T14oz2/wUY9393xg +sbRP/PHyXvfWL/7Z8+rl5rXrL5xXr27mtesvnFcvN69d3bxop/7L1+8c9LcD +q5Lx0/+y1iqv1kl7z7b1Zr8/u076ndj+xqu/bWwQeNB6fzlvXs9GgWvXb9/j +z3s0C3zQPm989vV5Cl+/776Tr7ulVd4/88y2e38zuFXaVzvrrlOfn9Qu8Pl3 +7tPz0M8Vxm6dNWjnh44/tUbew7h3/TePu5cb966/cNyME3saGLkCjPy7b43D +Ovm4Kjl5yE6dfK0l9ZGPa5PWwNc1UlI/bZuqhTUndyStR3+76KH7O5Il95dP +uvevTycP33vFxAfPfjxZ85uaDQauV5OstcGzswfv9IHAM3591dCLR08SeJP3 +/vnNN4tnCtyr/1lbHbFcscAnN7Uf3vepBQLftOfdl5Vutyg58PKvhhw49z3t +t+vW11WVThD4+fFHfHztD9MF/vrt362wwpNzk7VSeMPPpu5w7DYl0n5A7zOP +ffqDMoHPubf1qiVHVghc//4JHWfdWS/P3zDvhbvvntYo7auHskXgl36z68AZ +Z7ZJf8p7f3vRHXfs25CskcIb//m9dV+/q0meG3TdvwZMna7v6f38wb9rXb9d +4NJr/1G9x4oPJHscesN+Ha93SP3uF3TJ77rkgrwu+V0n6x31kuanUj/+b+Nn +bNBpT/A8+xnaT3lk1bP326dWxo3+p33JQc+f/sDfa5I1Hnnv6S3W1Xr/Hp7j +O5+tvFnrGe21yW3tPy7qua7yGXRLfd2sL0dvsFZFcvdaE0dMHbRESuqPWvng +SSsN+DDZav4Ng+dvOCq58unJOz/95eSk/PtzN/+h1+Tkwx2art1h09nJtn3v +vbjvSbOS5Rbfv+SsV4uTj544uXTdA4uTbYOe7LSrFtZ/f8bsBcmRQU8uSn4I +enNRsk/QQ5XJ+kEvaUl9pPuGlA8akrz7K0P5RX2svyXoyabk1KA3m5I/B/5q +Su4O/NWUrBf4qDXlq5akbs41odx498dCfdST7anebE9u/GJsKAedXBLqsZPA +M/YLcLQ3OgTOVZ/rPV3at/7bd5LjOrXv/ZWDpKT+wgl7r3zsXyckB9z5zOcX +7z9eSurfOfGMPy15YHpSP7fj0CMmTpOS+ls/+32nHTI32XjP1TvtkkIpqX+1 +99xOu2R+cuCtL3XaKVpS3yVsZtxSlpw3uVffO3pqSf3bAU/1Kd7qkwNu3qJz +3RqTVX/VtY6NycyXu2bSnLxwUJd90ZycG/imLekV+Kgtfa42fU9t0js8X5+s +Fp7XkvpZ4X2NyYvhfVpS/5fw/pZk5/B+Lan/NNBNWzIh0JGW1E+969I1n8sf +mnRRyZxr3pOS+iEBrxOTuoDnCVJSv+J1b+dN7T8jmbf1mB9WWDJdSuojXuem +eNaS+ryA15Lk3IBnLalvCHxZntwb+LRMSuojXVendF4lJfWr93ywkz8rkrdP +PamTPytSP39t0ivYw/o7TxP/vNMhD+fp7y6deP01xe+t0ZQcHui2Jal5fuxF +xSfr76Xc+MmKX//rZc0vuPeQ71ZZ9QLdV5z39SU1n3Tqu0m7L3lj2tXvpfux +IbIP/9X9ffdp/+6d5JbNz7pmxYkTZN/PPnzOtdNKHuuk9wlD7xr7TN108QOw +D3+sou+MSfdMT+5/7cQ+G943V/wC7MP3mPng3md00vvg5tqBZ/csET8B+/BT +Nvr1GQM66T3uKzhPUpbOvyy56Zx3b2+5RX+v6+W3kgF7r1Uh8ZyN/3bYC7sM +4f6GpmTQw4/tcsIXxFdakt7vl3xyfSf9XRq+25YUFG9xwgud9DYn0G1t8nKg +Yy2p3yDQf22yV6D/2uT8QMcNyW6BrrWk/s3wfH0yJTxfn3we6LopmRjoXEvq +Pzi36/mmZOHkruebknuD3GxJTgpyVEvqj7q36/mW5PKmrudbko0CXbUntYHO +2qSk/szwfFtyS3he78HoGfCl82Ke0MMXB35Uu2qfYbL+k8K6T5T17v3k9PNO +W0HzYoeEddW82NlhHTUv9vOwPywXOw39B32+tMqzmx2yu9Z7f5XtXyEw8zkp +8IfejxTXvz45MKy75oPRXh/4R+/3iPTRlMwMdKH5X7TfFPhL7/uYFfq1pHyl +52ppX73muIc3a9D7P2K/tuSzzYZfX7NJeybPL86/PfnugJ7b9euc154DRl5c +vmp1smuQC/WpnNA89D6Bv+uTCUFO+PsbGlN+aExOCHhpSYaHes1THxjw05zU +Bjy0ZfLWDwj4aEve2HD0teUXViU/pOMCjxEfDcnsgIfsfZxx/k3pvLP3ccb5 +tqb48Plz7em825N7wjzVH18f6Lsu6Rnom7zGTj4L76lP36vn6m4I+q0xeSvo +N8VTlI+NqdzVc3ZRbzanelTP1UV8NqdyWfPnXgr83prqPz1n91bAb2sqt/Uc +HuNk3IyTcTMuf86ScTIOf86ScfFdf86SceDvgX/w9wCXpf4e214kMP4e279c +YPSP7V8vMPF14NJUPgNflspn/744P/19jMjvDSLvIz9rfD7qQ5X3qwZ6bEta +Xny891EnPCf7hOlzj711u4dfyZxzox/2fM+wf6lKxmz+0Vk9169Jvtjk+Idn +Ta5x465Lrnx+u3nvrcF9dnrubYtHtunkJy2pt3ge4PA61uEx3+0nCgWOw57n +5OdCN77F/7HveLxY+d0gMPmowOSb2vG0C/x/+x7rj6gWf8TG73Q5MC5O/Rod +Uo/+efxvZb894YvKpOK6RZ10qPkR1cHPUZ3x/9wY/Bu1yWvHr9n0Zuf39x5x +9emzr6yVevqxb2Scc4IfRNs3rBi+dNIH+h47f/0ez61wxmafvtsyWtY1zntU +8nDBLq/dcPZHyfRPhh9y6ab5ss5xHpOTdb4e8/xxJ01JNjphwcPf/X6O+52e +WcnpD1dUV9w4O3nv0x+a8veYJ3QQ6bg4+fPay2+8/+zipPiAJ9Zed7L+zk6M +Jy1Irj/tnwf0Oa80eb7/9ucWfKbnzr66Z+u9zjh1scT/qKcf+za//tRH/VHr +/OX1qbxUPenPb6E30ZP+PNeJqd58M9WTh6V6E7mK3kRPojcZhx1XdQpXi51j +4kWd+9C3w3dqk5NTOwa7Bnn9SsMT7/56qtplNn6Wl2yyctsWWz6odhp2G/L8 +vOfWu3T4OzOS32/04+N7/Tgj2fL73/y4WqLnP04O9rfacfbej5Lk5mB/q12H +nYf8j/Z4udh52H3Ya58snZt/e+e+Z5MQF9DzHc3BDq5NZgS7WEvqsTew47Db +sONmpnb2i6ndfVlqfxSkdhx2G3bceXnRzo77X7VHsOOw27Dj4r60JRl/f7S7 +sU+w47DbsOP6pHb2Cand/eNaXXB9svDtLlhL6tcMdkxT0hrsmkYpqe8f7JaW +5K5gx2hJ/R7BTmlL1gt2i5bUZ/yi4bu16Ti0pB47LuJBz2/Eeer5jchfrcna +YZwNSXsYd72U1G99Wtc4O/H8ade4taQ+7j9akvXDuLWk/sj+Xevbua/t3bW+ +WlKP/RTXry55PLWXOsL66Pn3aFfp+ZHI960yT39+BLuWefvzIdi14MGf/8Cu +xW69N7VjGSfjZpyMm3EybsbJuNEDd0xJCm9cr7+sK/t54A9SuU//E1e59JbK +E8Y4//kEgdED9P9qozPu73NcvvOXTRcYvUD/3m/fPmfDa+ZIO/t/YPQE/Q// +zQmPnvTHee598wVGbwxI+1/8t5qhLy0udf7+MoG3TvUG/R98//r5df9YLO0R +f0uSC/ueudfu6z4vdp3H2xv3nHjy3LvekPeAx1x4u+xv1xz42EPjZF7gMRfe +rp1ydsPpl06V/uAxF94qf3vIc18eUSj9wWMuvK14ffG43y+cJ+MHj7nwtuMn +F1U98PeF0h88erwBH7PK1yvN/WGxjMfSj9pF1L8c4gN1gm/0M+1nXb1g/1PL +6uR9yHu7ro0Ctz295cxbtmmU/pem8t6Ot1nge8Zces6rlzfL/JD3tKPPgTcI +9pbyGfJe6GOF7/s0/tgu7bz35sOfee28p9Qv7efJvHhu7csq9rpvUe55Mi/6 +v/z4jvmDtmvOOU/mxXh2D/Zma855Mi/eP3XBmObPPtT4S4zf6P4EPYK9Gczl +npXJ/Bnzb3hn62d7Xz96bq+FJ96U3Nswa82xhRckj+318bybfnN3ctBrl6/S +3nhXst3s2oMfOeZRsZN3evaqvnc/PEy+v871h+1x/K7D5P2fDdvq6amrjJD+ +VYsXrVvcNFH6z5mZf/7+YydK+2F//2CDG97OE3jnq5Y786K1CwQfm5zbMrig +Yoa09/1h4VmrzioQ+IDlnpp766+K5P3Dvl7l217LF8l4mo786cRZNxVJ/78c +s91Xk4eUSP+iQ17Y/KZ/lmic+Mknb9x4jQUaP3/qw03X/n259P/u4V3+MHH7 +cmnfu2ybl859uVzw0svhgXFsPu+4z7+9cIS8B7zkwsMptxXkrbMgT/AAXnLh +4bW1l64x4LsCeT946eXwwHiu+/PDO2/6hOINvOTCwwvPb/anv26tch28eDwA +j6l+79p3Rire3lh0dHJaYYV8H7/UX/r8c+ejD65MVg9x43ppPy/EjevlfZF/ +6+X7L941vfHjNZsU3yFur/Dvdjx8o7WOUj6M722R9983bVrvR+5TePqxj7+1 +x5Mt0n9CiKO3SfsmIY7eJu8/J8i/Nvf+GpkH45wc+FPn4efFPHjPqd+vcHvP +5bLz4v3Mg/6NWx63zoHH5J4X85B9aJB3Og/mRXzzgmDndCRrBvuqI3M+qjDY +Vx0iF5AT1NPP+kc0vkt9tN/0nNQ3D03rfc99Crctd8DtV55ckwz+/MDv//qu +1vMc+y/rD+nI7Dd9vc/rivZiVbrf0HNUcd+iMP38OSyeQ9/eEPZbS9L9lp6z +ivs0PX9FP56jnuewb7448If13rz07eSlhj/edWfFoNSuGZjM/Pyytr8seF1g ++vEc9TyH/bPmpCN//a/bP0nO2+QfJ9buN17ymm955ccHi/YeJzD9eI56nsM+ +mh3iS9PS+BP5nNOS+6tef+y7308VmH72vj99DvtpzXu+WmfdyYXJ+adPOLvg +Mz3n1bD/hS35eyhMP56jnueIU+0e4lfzk3tDfEvPga0RntfzYfTjOep5rl9q +f8V418JkYNhvl6X71oXJLuH5hQLTj+eo57lYX5nm01Wm/mWfj1+X7pvrUnrU +PPkD5yza9cWBYzLndU4+5fILHxrwYVL/zfqVFTfmu/uMpiRfjDvzu5IvJye7 +PbrvTte8NCfd78+W8sA/3XnYpZvOTg5ap9f+fc7LnteZHPwBxSme9ZwOZVyn +UpeXqOdOdl+zLDl43RHJJvcfs9qJG+r5ldPeHP7KuHVGJDNer7jv0T56foV+ +PEc9eY74UaJ9PSk5P/hL8tK8Rz2/8mXt7c9d1Vnf68INHy2t0/Mr9OM5Wz8z +c+5k8M77DD9sbkHyysXtzxx3kp5fSW4cULV8Z/3NX+03/7LVtT/9eI568jDx +40T8F6X+mqLUH6PnV2IcuyiNa2t/+vEc9eR14vfn3Mkrwd+zIM3z1PMr9SEO +viC5J8TFtT/9eM7W63kVzp3kBfooT3oH+tHzKzF+Xp68FeLn2p9+PEc9eafk +ocIX8Al8Q/3U90d+dm+nXbvetjM36z2zQvJU/TmU+8I+vTrJC35ErX9ipzk7 +Pf19dTJv0KVP5j1aneaxVCc3Bb+N1tOP53gP76Xe7iOrkptDPlal2OnU0y/q +EX6fVPnen9NDDmyd+idifKVd/HW8b5Pgf9DzMvTjOex87H78lPArfkn4Cz8k +fkn8jtAvfkb8jvgVoQ/8qPhVsROwM2Z/vt2E8R3jMueI0Uu9gryamuq1/Iye +ifIqe04YvRHllfq/vR6Icl7P13i5zrpdu1zd6nus/rbAZ7w5tudBx38icNOF +y88f+sdpAr966wZ9t/qoUOC8yW+OuOyY+QLXrbVf6YhF+v5VTpvx/fdXLkn+ +Om2LV3d/7COpv/6Gkc/t/PcpAk9adWHVuL6zBX541h1P71BWLPlw72683pir +Li8VePa5ry8Z/eMi6b9byM9r0PeFfLumZO0UPjHk17W6/ELdZ/Le/UL+n+Yd +Fnz80NR1z2oU+JzqojN+92azPPdpyK/z8Z0lyffpfuDo70oGX3FnRXLP2Qe9 +uH8nfOEtn/a9cC2FZx26ykfHdfI9diF2orcjvR3n7bCMHXVCzOv56dcxzwc+ +hC+vLqs5echO7yRXLnro/jUOez+pe/DszX/oNSG5cLWpOz/95YRktV/3ubjv +SdOTOS+2XLvDpjOSsUHOzU2+27jrfXOTRS/UfX/G7PnJ9hdtusLAPUqSH2tu +3Or188qSo957Z4eOSZ1l8ItWpX5SLam/OOSdVSQ7hDy0JVJSf+QNXflQFcmT +B3flQ1UI38e4RFXSEfy7tck6wb9bl+TvuOTrszvx2fPT8zc9aHZF8v0W49f4 +1UpDkmOvueigm7d4L3l92o6bDCsYn8wNenNC0q+1S69NT7a/u0vPTU+uDXpo +bjIi6KVOObBql96Ynywq6tIjJen8y9L5lyV3dsnRoVXJq11ytaoqKQ34WJJs +HfDRifeAj4oUHxXJ/nsfseehXfu+yqN3/s3K1cm5x29X9XBVpdTzHt7Le3jv +ExuvtM0N39QmI2/dYvvNflvn9iP//jj6wfO326jvT9VJydVPvtT/FN1//Lvi +6mSg+v0N+zb2my8Ef1N1cmv+kJ/u6VeVHPDjuv1u6xzPfmE/XOX8dbUpfet9 +hHF/pfcPRj96k5xni35z7stpS/VKm8Snicuvuu2V/ZsfrUlmDPzVr6v/SxyX +ODt52eRpk5dNnvaU0wuP2vjDahm/9eNqPi71v/36mHX/9vHVMr+mNWe9dsVt +j8jzvdPy0w3XuPK0bWtlXIxz63SdeB/9eI68AfIITr/9V+UH9KiTdr67QfAP +dsh3ZxbcdPTa/Tqk39t96red8pPOi3ne9u4hP53fCV+zzm1v31yq8pU8Z+tv +1Lgy8+a71JN3TB4yecfkIZN3TB4yecfkIZN3TB4ycV7ivuQhk5d81tKJ5XuW +V8k8ybuQ/PW0Hrqknjxv4uKR3mqlpJ48V/JeY96XnvuMeV16n9u5wY+h92Uu +DfaH3tcW85PaMvdI8V7yOsnzJC8TfoZP7P1x9TIO8kCJX5PnSB4MfGXvl2uU +cZM3SnybvEjyZuBDe/9ci8yTPFPyTsmjJK8SvoWPwQN4IS+V+Dh5l+TlcH9d +xENt6h/Re+24vy7OsyGdl95rx/11cR5NqX2o99pxf12M97Neeq8d99dFPLWn ++NV77RgH42Kc1CP3WHfkJnKUPBM5L5TmMbH+5GFG8V+bxgf1/rw4H73/LtKP +v/+uXvACnqgnTwp6IS+S+Dl4Am/gkXryqqAX8iSJp4NH8AqeqScPi7ws8iaJ +r4Nn8M46UE/eFvRCHiXx9rgeet45zl/vD4zzUfzF8WXvDwTv5DUSr7k/xPMb +0nNDWlLPe1mnVdO8R/IQYp5ic5q32CQl9YyDdSUvknhOlFetaR6jltT3SvMk +/f2B4IU8SfImmS94Ii+SPEnmA97IgyQvkvGCR/IeyYPkHCfnOjl3yTlMzl1y +DpNzj5yDRO73zxty0vrznhF5v/9Ge++w048fClz/0ieLBm4zRfrvu1vNdvsf +NVvgjyvv+fCiUcXSv3KnjRe9d1SpwMtd+3aPr8sWib2BXqy4eNy3yY6D5D03 +nf5W38MWfyLP3f77r5/Y+6lp0n7RJWtfUVNeKPDjw/o/ucuV86X/+9/uOer6 +HmXSPvsPU8o+6bdEYMqNznm5X/9RlaJ3zwj++ypZT8b3yjq/33bWtvXy3F57 +PzDq0ysaBY52QLPApwT7ok3G0/zaBVece7TaEeS94cenfv+3dvuw6Si1S6YH ++6NB4Kinm+S9HcHOaRX4zv1P7nHbFRo3/SC12/iOz7Mjj07yG0Lctlq+99yz +n/bbbNuKZMv8Abdf8tC1yVfPHPXY0qX3JYe0/vD2gQc+KHEB+i9aaYtxu454 +V+Ad8vscMfyjD9x5seHSnnfSLh+d/eQEgf/65UWXt/SY7PrnyfxWq//zcks/ +mC7wkAce/uD27TSOvyi1/3nfLuMO2O6QK+ZK/+8ePe2nVbYrdu8vkv5/XmnW +0Q//NF/gzUqatjnhwwUOnyXSfu3x515Z/KTSWbLFbUe9cPQiF38uz+AFPNAP +POXCC3igP3jqnQMv4IH+4OkAhxf7/iLpD54OyIEX8EB/8JQLL+CB/uDJ0xkw +39078Jn63fDDtYd8BOVb+vFcn8AHyq/s2/h+5Eflqw2DHFB+Ru/S/+Zg9yrf +vRH2AcrvomfT/mu3fPHk2+Ut0n+fwNcqD9gXSr5GkC8qh3vnmAfjtvkI9Zl5 +8B3Gbf2ZTdKfedCfcdOfefl58DzjlrycdF53h/OJHclZ4XxiR3JL0O8dKV12 +iBxBriBHkCs8x3t4jvcwHvaJ0Ad5Rugxxsm5Vvp9FeyImqRmcJddoXm90R7R +evrNOuzQ5fa5pHM9ttvxhnFPaz+e83Kbc6h8j30k4ybPQ87hOj1BPedwaWff +Sjt5PpxD5Fwi5xA5l8g5RM4lcg6Rc4lxP1+V7ue1pB5/d7RLq5IPjrng6Rm3 +LEn+/uNufe/oqSX17DcHhXjZkqTslTfmvHzJ28ljB67/ykHHvykl9dgDN78y ++i/7HNdZf+iJ5/9h6bhk+et+fcu1t38ifmX8zPE+iqnJUcfuufKxf50mfmX8 +zPF+isLk6LC/Vb8yfuZ4X8W85MpwX4Xe24Sf+bBgNy1MHgt2lPqV8TPfH+xG +zbuK52grk9fDuVqNYxDXyA/4rEuaAz7rkpHfjD/w27M/Ssp3fuiUnVtGSyn1 +6Xwbbv7gq6688rcHP/ViVx45eeVx/z8l+Sjs//OlpB589A7xwPw0jqX3/cX7 +PWYnP4b7PeZIST34iv75OUljiEfqfYDlwb9QnN4HMk9K6sFn9N/PS/OPiyWP +Lq5PaXp/iJZSn+I7+vdLkwPDuul9gtznNyTghd/zm5DOc2JKf9OT/Gm77HvN +zfyexNx0HNxPVJK+l/uIytL1L0v9rtyHViUl9Xz//vOPeGP68MHJ96lfuStb +ucvPzLjox/hOCfHd8cn9qd95QuqHZtz0uyId/2ch3jtN/NKrpH5q5sU8y9L5 +xTjf3GStntFvPTj1YzNv8MD8Y9xufrLHedGvPevV6OcGL/QDP3E9O/EzKPq9 +P22MfnDwRr/IJ/5epQqpH1X11e5Vp3+QPDF0102GFYyQfM+Ju29TdOEZH0hJ +Pf14jjgzced71hvbyTdDk3U2eLyTj4YlgweXTlv/8Pfl/rBtVuhftfzcSckT +l/Wef9nqeu9hjOtOkpJ6+vEccWfi0KuHdZiYFIZ1yUvj8vp7EJcHP93MpCz4 +7fQexNhvppRyL3Xaj+eIQxOXPundgZ18OSPZtNe6nXxakMzYaOuONTfW35ko +f+qL0RusVZw8eWTeiKmD9F7ESA9aUi/90ueISxOnLgx0MDfZK9BFUTIp0In+ +HsVPi7r8jAuSD4LfUe9JjPSkJfXSL32OODVx688CHZUkpwS6KknpTH/PYusg +XxYlC4N8KZd82brQT0vqpV/6HHFr4tjxPoCy5JYQfylP81H09zCQ48h15Dxy +/8CgV6uT1YOe1XsT3y1vnL/h4GrZR2GfUk8/nuM9xKmJW+8a9HN1qp+rU/+R +3p/He4kL4Od6KeSjVcm+FruBfS3PcU8Oz6GX0FPsf6P/rS71E7XLfnKLeZ9c +vProCvG3kZfK+6YFv0KnPgx+Bi2pB58x/l6ZntOvS89R16Z+NfyQtSleGlI7 +R0vqox9If/cq4rUpxbOW1Ee/D360ptSf0pL6U7SkPs5ff48jnmdpT+0oLamP +50E539uenmOpT5aGcy1aUn9DsGv1fvF4jqUxuSfYn1pSv1rwMzWm9nZjet9B +c+p3apGS+heC30l/b+r6gL+21A+lJfXxHHBbej6iLcVbQ4pHLamP+OR3Q7SM +fteGZHbAY1OKVy2pj/jV3/kYlZZR3zYn5wS8tia7BDxrSX08x8U5sVYp64K9 +2ip0Cx3HezXa03s2tKQ+nj9i3bSkPp4/y95PGv2u0EF9Shf1qd2sv492RFrG +cdel9xI0pvdyNKbv0d8PKUvL+F3ooTmlh+bU76i/H0IZz9U3JxsGemhLqgI9 +tCYvBnpoS74P9NAq5dmB71plnIybeTAvxs08GCfjZh7Mi3EzD8bHuJkH82Lc +9GN8jJt5MC/GTT/y4hekefLYAQeFvLvhyWv7Lmg4fu+RyYb7rDhn87eGS0k9 +ejzavXmp3p2UnBz0cJ6U1KOHdw/7j4LkgnBPzczkpaSgc59SICX16NFoZxUl +pwa9V5R8EfSgltSjB6OdVZLcGPTWgmSjoMdKpKQePXZfsLfKk5fCPSvlyf7h +3hUtqe/12L79P8irSF5/4K8/zFi/Mr1XozK9Z0NL6tFDkT6q03WuTu/Z0JJ6 +8pKJ+2KnYbexLqwTdhV2FuvAumAHYReBd9YBuwU7BjyDd+wM7A7wCp6xC7AT +wCN4fbl3zNOIeKxI5ZTev4zeRo+DJ/A2INDZuJTuxiSbhPlMTU4M88lP9gzj +L0xeDnQzJx3vvNTenpfeY7Qw2SSMr9T5MweI3sevbv2jY8UPgZ/d+jfz5Xn8 +7jZ+r353/PD2PNI8eT9+eet/WijP46e390UtlnFS7+MQjJN24hK0M07afZyC +cdJO3ML6/xbqeTAXx2CctBPXoJ14D+3ej0+8R85jpX592on30O79/Ogz2vH7 ++3wL7DjeSxzDnl/ScRHXsOeV1M9JnMPmM+i4iHtgB3JuBLsTv23Uw3o/v4/T +/PmpFzbu8m81fnTGDV335Nl7ECqTP6XtD29TPHndsyrlXjruqSMPg7wM/Hb4 +8aJfQe/nZx/Pfp19Ovtx9uHsy9lns+9mH81+mX0y+2H8ZvjR8ItBR/i94N/f +nbVl8Hu9deZxwQ8W9ca0VI9MTfffhak8KExuDvJgfiqv5qVyfWEqnxYmu4U8 +yAqRT9j10Af3UHG+nXunojyeKPdMxfHNkHulOK/OPVKxvUTujeIeqajn9fwF +92JxHj/mO1dIPiH3THFefa2Vph1w3lMVydNPPPq7az6vSAYH+0Pv1+YcP/m2 +T6T7gN2CHau/vxfjp+RltKRx+lax0+M66e/Z7h/sFv0922iX6O/ZnhPmQZy7 +Lfk07EPakjWCPVmV2sdaUh/3Pdn7rKm/9OsvH2xfvyYZ+KcbDnltYIW7f6Jz +/sFer0v3jVpSH/dDdXI/9dJAJ0uSkwLdaEn9OUH/6T3ZlNR3vf2CZ99Kut6e +N2ywlNTvvubT67+x4zspvQySkvr21qsHz9/wk+TW9sMmrdTJV5TUx3z9Can+ +/kRK6icGP9m05MHgN9OS+peD/0x/v4OS+nhfXGHSGPwNc6WkPubh6+99UFIf +742bn6wR/AdaUh/z6fm9MC2pj361hcnuQa+XSUl9tE/090QoqedcEPfIca6H +e+M4l8M9cRH/c+VeuCi35ss9cJFPy+TeN/gSPoUP4Uv4sGd6j4SNR1eJ3wG5 +j1xHziNnkbtx/HXJy8Ge13jGz713lfw67l2lPde9q/9b98QCzw1505Vy7yr1 +PzcPnPnkygOnP3ng/6k8dmDuPfD34RCPoJ5zslZfTxY/Eediaff3GXAOlvZF +qb+Sds69Wnmo51o552rvI1okz3OutSzlJ/pxDpp+8JfcD5See6YdfqOdc86M +A/6jnXPNPH95yo+0c47Znn8vk3bOLdMOf3q7CJhxcK+CzXceIu/hHgWbjzxB +2rk3wZ6/nC7t3JNAO/Pm+9yLYO8Pmi/t3INg75Mqk/dz7wH3aNj5j5LnuDfD +3wdBO/dk+PsfaOdeDNqhO9q5B8PeZ6B0xr0X/j4H2j9+7Ym9l3xWnczt89HZ +R5yq9xpzzzH3NsP33NuMPOnu3uafe44DmHMcPM89WcyfexUGGHrUvHfORdv5 +Nko756Dteuk9YZx7pp17EiQ/Pj3n7O9t8PdV0J97Gmi/JM0DpJ17Gfx9FLRz +D4O/f4J28MY93eAt1z3d9Oeebn9uh3M6nNuhPde5Hcbl7yXjXgzL3w3K/+m5 +e9rBC89zzt7KU10XztVb/tTx+HP03Cti+9dLO/eIWPncKOPl3hCrX3RduSeE +duiGEwX/3GTFU9fedXgSyzzJs1qy7cp3P/2HAoFje5HAoze/r+WEj0pc/3KB +V/jtAxsvnF3hnq8W2H4/z30vz30vz30vz30vz30vz30vT77Hd3h/eZr3xfuB +eT8w7wfm/cB2PkVuvEVuvEVuvEVuvEXyPt7D86PSPDKeB+Z5YDvfculPXhn9 +gelPP9rZP9n5VScDX5y85dBr9J5LYM73xHHXC0w7+VG0A8987fBRn//QKDD9 ++Z1K+gPTHzjOs0Vgnsd/yvPAPA/M88BL38r/474P6T0R0Okza47/1dfrKn88 +1+OWxVVfDBN6euGLvV8rKB0m6/9KY8eFH4wbJus3YNHgHV/tP0zWY2DhRa0P +3jtM8P1O17AvGSbf8fzxdL+qfVfYQvkj9lP+eO7+l75rXV7544UwvonyvZdu +OW18Sf1E+d6rYbwTZR7+O55fKl6pueDh3ym/VG0y8bA7d1B+qen3yvbX/Ur5 +pW7N21a9dA3ll8b7z2g++4cZgic/D/8dz09Pz/8sf9XtlZ+eCeNUfnr2T4Vv +/9BT+en58N4iWQePJz8P/x3Pf2PKrz3r2GHKf2Ofu2DWEYOV/z4+5YTfH/J6 +iayzXwePJz8P/x3PvxVVX3za90Dl36qAp3KhI7/Ofh08nvw8/He8PFip8foH +iqdWCJ16OvLr7NfB48nPw38HeL8Ja42YN1blzIzaUw//ZkWVK2et1n/Bb45X +udG+a9Olhz6rcuCeE/f8/m+VHQJT8t4//mH27Tcsp3Jr8cU9133xGJVT/3j0 +vAHjn1I5tOKwQXvXLuoQ2I+Let57Tv7jR21ypMq5pc0Lyg58QuXYfetsdcX5 +CzsE9vPy46If773q6D9tMOZRlYMrX/ncm0vmdwjs8eLn5cfFc7z3/pnrLPlL +UYfIRY9Xjxc/L963Ujou3sN7rf4b4PTrWKff8gUmbgFMnAKYuAQw/uP/1HeA +bT/1a1MPn/Ecpa2vy9Av9dhxzMvOT/UI87TzVTnPvCm9/AcPFh8qJ8ELpZef +4ImSeuIqzIs4CjBxEz//n/sc/aBTSup5DrqlpJ73QMeU1I9K40vQNSX1lH78 +1PMdxsV7GQf9+G556pdYtv0+wNnTnh7yxG/h19/SRVGGXuiHX8PTB3TDunt6 +oh9+D08/0BV04emNfvhnPX1Bd/CNp0f6cb+k16+ePr3+87+nSD37MtaVfRgw ++y7giM+ODJ2y/qy3p9dcdOLf699DnMfTn6/ndxEsf7U4/mp38qaf0NGo1M8E +XeBXYp3xI9n9VrGsA/mPjJ/9OXzA+IDz+qywaPc/Kvxp0F8Kb7T3ZT/dt7Xy +dUPB052WWJPwEfMDnnfU/N+VPqvwCkFfKbzDhzvP2OESlQPfPHnxmVvt3Cr8 +Dn6A69d+q++dtSoPNvr09Kvu+rW2H3BAyz+nv6vwmqfvP3LaDYpfy+fKt54P +PV95PvF0D11/kPpFKanHD+Hpxdf/XLpnHX8unVHynNVfQ2T+Vo4VCT6YP/hg +/uDjfxuv3Pfj8QBdez7lOe6Vt/K8n9PPo2Rc8Bfjgr+s/6I4Ka6/u9PS0vn+ +EOhW53vY4PcmfnKWzveIqls2fO9Ine+lV2w+7ftKne+j30y89Y+36HxbHrz3 +6utKdL6Hhud1vgtWmjyw6Amd756/HjRm5e+Ujs4Odq7Sx+Tks2N/e5jSR0ew +WxU+9cLeFX96TOnl7mCHKmzpo0ePZfuh1E/k/TreL+P9LN6P4v0Y3i/RnZ8B +PM5/pH7y4ldUH+143a96b33+IoGvXvn39468T+3CzTdfY+2rJi0SecF8c/ll +vB8GWPjgxzUOP3DjYwUeEPZ5Twoc9+2vCdyna9l3ekrw/WjnbuTil9U/Mu7o +NZf/7QOqD6rCvlftiKFPDv770N0+FLp7/MDi1U+4W/0AO+6x6jubnan6Y0zY +N6odseX5m718/Qyl//knb3pN+wjdx1930OoLXr9K9c3KF5x06bTRcwS+5Oa/ +rrjBD8ovj48a2nr4tboPrwil6qcdg/xXO2JB0BfFycMnn33P7aPVvqoJ+9/B +As/v1ErfTNR5r9yptT4eMl7g4fddtNsLG0yVeR17ywudO/ppAv9w/KkFv95G +7Z9jw75S+XPL8m/uuGycjuvqsG9Tfv3DxS/vOfoUtWeeCft/5d/TAz8p/y4N +/NaRpY/0b/Pnuhwqaq8cE8aj/D583B59HvpR7ZeKsG9V/of+c/nprP93gPOn +KnxLlxvngtedf3WAwNeM7ELs687fOkDgy8L+83UnB4YI/NYNn7y66W7vOntl +rJOvChcE/hnn/MVjBZ7aSd0n7jnO7SsnCPz5bht2WggTMna89f/mO/+vwu/0 +nPXQ2IOmyvusHqtOeuft12VxuP1AUcbu531+32vt9urkD0FvzM2sC+/z+wBg +nkePAl/8+cH1q3TMz6yjx7Pdn5Zn9g28D70M/EiQL2UZOvDr5PHK+/2+wvrV +KzL7Bewq4PcDn1dk6MzTgV83j3ePNz9P/13u5fF2G/yG3eb3m8DYL+gv6v0+ +9eX9r/6w4aPsvhV4j3PGdGoE9Qf5fe2wnw5dr+9K6g86u/b5Ux9c/Q2B1/nX +Zj1PemeQwBM3fubjS45Xftq0y4zYYrzAg17u6NSwyg+nXLBul4Ut8Dc9H75p +l/2Uvv8U5K7Cvwn6Rf08107a5cv37lC8HxLoX/0+zwY/p67DRYGe1Q80Nuiv +Jf+/nRfwt0FfKX1t/23vM3b9h8Krb7TjdpP+ofR2wO3fbzNnpMKbBX2m+6xj +e3zcftW3Cos/KsjbswSO9sprImfuumOHIXWPnS/w4Hee2feI3V8TObHij9P2 +enfdiwQe/s+uifYXPr739svGXffUJQKPua3PEW3j+8v77u9yn87XeGhDl9lb +NUbe1+fyhu8Gfarx0ZYr51y9x5Qx8r47OldpwlojBO644OHfdZrGyVVhXKeI +/H8lxBNey+iDh4O9pfGeT4K9pXLrwdkHXHTNEI2PTpjUVLPFzfk58QYc7RmN ++0Z7ZkxGP8w979z3VizUuMLqXVboy3Ny4r07vAE/mvfljmf11fjMuDm9ttzn +adUfudatO7x3hzfg4mCvKZ5XDfbaHIFz0UV369rdunSHV+DHwv5L12GnsE9Q +fVQf/Bzq1+8d+Ks94988+a1jrzzlnyrP3zp9RKdFrvI713vgw7+FfaHqhbEh +btUucmDbNM8K+PsusttM4R0OOq5xzxsU/uP9FWvetmpV5rmtTlnQiRGF7T6t +n8AfhQ9cLvBXwQ5+TOD8C7+eNeGB/gLv9Ebzpq0FT7t93iiBbwr7mxECF3aF +i779QOAvu8I9j40R+KVZKzy/xbgP3fwnC3xf4Cvdd+7xqzv2WrqVtk86aOqU +Df+ucYeeNw/caMDyUwRmfw88O+zrdd9665ABnZSo7WsVtqz9Vt85Ap+/RsE5 +e+8w29m7xc4+0n1vjMtp+2/Dfkz1xvzZ/zqp5k1tx39n7R2FY1xP4aiXSp3e +Utj6Q6qT4vA9te92CuPR9qjHVC9FPbcoQye/lA5+6Tr/0nX8pev0S9fhl+I5 +Fx49/7EfxK79uXyOXw97YPkQN1S4JPiLFMZfKPvDEJ9XP/glO6+1/78WavuS +sN/MPo8c29j5hetTv3Auv/Jnzq/s/cY7Or/w16lfOJdfeUXnV/Z+497OL7xG +6hfO5Vfe2PmV4/5c7a0/BH+c4ueqEPdVmPkwv7edHrhp6ZJ+r2zf6uJi7Rm5 +D/xI8KO0Z+219M/GezRPCdjuu3r0uD/ocx/XUj9T9EO9Lt+x/r6i1P851rWr +nwk/gs9rA57TRW7fjnXtap8MXePB497camomjwwYP4TPk/N+A5/XBvxe8JNN +zeSlAX8f6K3QPa9+LPwcPi/P+yV8Hp33K/g8OODv5t3UtP0ehe55tU+2CH5K +tU/wpwL7vC72iT4fgt8jBG4Kfuc65wdWeIMbb338kZ1033vru12CW/3t3JMO +fPHQ3U5bvlH9q08HP5m2jw55Mgo/EuywJS4+0ui+1+jGo/CboVR4raKujV+j +26c3u/Zm97zC+4Z8FoVf/ercHauHKczvM9r2Vve8wtNDPovGLfcIfvtW+f1J +i/cGty4Knxb8iwpHf36DW9cmh6dmh8dm9/4m9/0mtw6tDk+tDo+t7v2t7vvZ +fAPuowX2cYyY/6PtPq4xJcQ1iGcNT/lgoMDR/615G9Hfre0xL07j/tFv/FYK +58nvSAAvCHaB5nlcE/S6tq8Y7LHxAl8W9vUfi1yNdsRUgUcE/4zCywc9pvAf +wz59msBRLqkfO9pJmjcSxN5mCm8f7ASF435A8wS2DvsA9YPzuxbAWwW9p3kn +Mf9K26PeU/jwoBfVTx7pWvNSDtv20ddHHK9wzIdS+J8hb0/zCC4J+6GFybBD +T+7/zzXVHxjz6RSO9Ffv6FNh1sPSR14mzvBJsDO1vdrFHd4LfqK3ZD2gD2Af +l7juw4aPnrtA232c4pJOq2nzNT6R9YA+gH0cY4VAX7njGt8FO3Sayx/S9fVx +jx2CHyl3HCSuv+pB6APYx0miX2meW9/5bv3nd7uvtPkzGp+eEwj8HWf/aLz6 ++zD/CY6eNX596O5zK6ZfNl3G4+PZh4fxzRW6wi8MfEnQZwr7ODVxXOIczIc4 +BDBxA2D8/sD47e0+Uv2F5JED9w96J5tf4P3U9PN55firfX6M92tjB/cK9kRL +xp/t88CBc31naIhr6b7B+835zsFhXdQvQrwfmPf5vADi5vTzfnfey/uw93Pl +FRB3p59/7tROaXHmi9o/l9+W+eXy2zK+XH7b3V8rKF1vNf3ueZ1SbP2DOzL5 +crn6PXrtq2cffLmuw0ehVPglF3eIpcJD07gC46oMpcLWPzA8zUdXPRzlrrZb +/0BeqpdVz0Y5+KHA+AeQC6PDfknzK7cKeJvs5PQskRNRT88ROOppbcc/YOWk +6sHSQAfajn/AysFSgb8Lelth/APd5SEAd+c3684P1p1fqzs/VXd+p+78SOxv +kUP7B7u43dmPCjcGe7TN2Y/a7v2s94a8aIW9HzWeB9D9M3Th98ENwa89WOhg +ntvnrhr8SuNz7lOP/+LG4WcumSbr7PeRxwW6KMy5j7sm0IHql1x5BvBpd3z8 +P80rsPm0tU5/+Hx/hQuCva77xb2CPe/zz+qc/V7n7Pu6TB5krjwZa9d1nxcD +7PMoc+XBAPs8y1x5L7nyMHPluQCzvsgR4Gj3KrxiKBU+7uMh5/7981KBvw1+ +g9LMe3L1A8ZfZfVUq9NjrRn7wPsRu/OLdedn9OOYH+SswtGv2f04475P87jj ++qp+6Rv8aZqnHfNQVV/EfZ7mYcd9nuqHvoHv/st5psA3qg+GB/2o+iDmvSrc +XV4a8pJ5jQllu+N7hXPt+3/pvj7Xvt3mS+t3Lw7r1+bWt/txo/cjn7yY0y6I +cdIXZN34ndpcdkHcD30k6xjFwpScdkHcn0yRdf0wPDBbYG8XxLj8bFnnaOfm +tgtWCPSqfB7lTqnTD6VOTpRm/F6/1K/1S/1WufxSwKwf/hrgYUF/qDyI/gFt +93GDw4J80Pxzfk/Inr9S+JSg5zW/nN8PAo7rp/DFQe+3iL3L7wUB9wl+W4Vv +7rSS3ti1XfYhP1fudEf31q+u+cb3ujyEwSHO/kTOvIRbgp/7KaE/n6/s8wqi +/0Lbq12eQfRffOj8A5rv6fMEdh5S99h6x2q7zxvYvOH3Y+8qnSz06/Olfdz/ ++uAP0XafB/C34A+Z7fzixTnj9JXBD6TtPm5fEuRsseObrJ/o323n2Lz87v22 +UY4MFbkX/RITRa5FOprh9jPqx4vtJS4/UP1o/A6czZ/XfGV+pw14QojX6X6+ +JNgrur9jnwsf2ThkVcbOs/Zfk8NPi9NfOo4obzoEL3Gefdw+cKTzF01y/tGZ +Di8ax+H3qH0cxO4Dhwg8M+SRvePkv/qbvn25KzFngrzfnusqTw7pxOa8m6YL +feJ/Aj4s2PtzM34vPw7v96I917i8H8y+v9yd18iO2/vJeN7GFSe4c1+55+n9 +auR7QkfQq/fDQI82r0B/p5p68l6AR9y85ef3/EvbvR7zesjrGa9HwPs9Lk7a +HPIaBgueC12cc80utXLteMGjj0P+uVPb/alwWs444PHBji8UO8zjw+f1jD7/ +mVtOG1/p5EQ/xw+jnH0y2Z27mZXGZVR+xPMkyrcx/+1A4dO4X3tSYH+PBOM7 +/JVL73v7YF2nxV3q7wSF/9G1HX9B4QV5w3vOeqgqlZt1Tq52v6/08ijXe7o7 +t9HduYzuzl10d66iu3MT3e0Lbbw+z8W/C9z5nCKJL1u6KHFyUvcruc4VxfP1 +uc8ZRfz+/LikP5cUz9vnPqcU9zsKdxen9H6mu8L7cvud4vgUjnpf4WgXqP/k +nIAPhfMDvlSfeb6JdHZ3Tj6Kfo97cvpVY17Gi7Lu3o8az6WNzuk3vSzYz7of +8n7SEWG/pX4P7xeN8SUfD9L9TYwXlXYbx+8uLt9dnN3fi+PvvQEf3k8Q+XRk +Tr9B9AupveH9CLGclNOvUBrsKLVPvJ8hfn9mTr9D/L7aM94PEcvcfokRYZ+j +csX7KWKp8PLObxHtwAVKv85ujfPReHqkn/dz1gODX2/3xni2nquPen1iznpg +8L3PgL+dftLhajfH+J6es4/38szIWQ9s/YBqdx8Z9JfCVwV9NTdnPbDNe1K7 +/bKwr9R4erw3J3e9rHO6Pt7uj3pE4XgPTlnOeu+P9HbZpV3u8iLVx8t9MWZS +U01VznrgyK+Njl8Vjv4G5e/oj1A5PinITZXLfwlytc3J/V+et+TtgVx5N9Yf +m81D6M4P4v0a3m/h/RLQseWvvDS+PVToEn4BPiLQ8UShM/aNwFHezRC6gZ6B +/x7oTO186NPSU0mql9sy+PP7TG83+n2ntyP9PtR/x58D9+ekc527ZF/anV1p +9wfd63E//xjXU3tgbRfXimV7Jk/pv89DGp7JQ8qVZwTs84xy5RHZeEj3eULA +Pk8oVx4QsM8DypXnA2zjC7nzmON3G1wesfLZPSEuqP5D/N3AUc7rfROsH/Db +Gw1Y/s0Ldf3+t+SYz5vMlRdpz0PmpfFJvYcgxiffl3X19xJEe0z9Bv6egmhP +qnzw9xZcHfCt8uEyd49BjLOWdLuv685utn437Rf9cu3d5vV1l6fXXd5dd3l0 +3eXFdZfnZv3KSs8xHqb0fHPIE9d8kJgHrvT6Sjgn1d5tni33n1s/U0VmPxf5 +Tf39kZ/qpd766eqdPT08xdtQKb19d0Sgi4lSenst2tMzpKT+q3Wv2H/W90o/ +rMP3+/RdLZnxX+jz9D+eeMipqq9qb17lxT9U/5dz+S9Oqjn8yorkskGLivbu +pXLitl1efrnkWtXHj79/9iU3jW7L3M/2yeHPnfHg64qfy18rvnl8Y31yTP+t +fzP0LZ3v5E/u6DvyEp3fX3e9fN0nb9f58F3GwXcZB99lHMz7gZXPu/ulTjxc +mX6XcTAuxrllOk/mDZ7AG3gCb+BJ5HM6DzuvPJkX82Be/wd1ls73 + "], {{ + {RGBColor[ + 0.10372206117797761`, 0.10436141743811188`, + 0.10500994850363238`], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJw1Ur1PFHEQnbvlPti9Zbk1tz87oKWBRo5AIsmVBmNyR2nFZyCK0UQSe6n5 +TAAxBv8BDgobTbxrLagwIUgJlVLR2Rjey/tZzM7s/GbevPkYmn3VXM2bWRMS +QDr45CFTcB7UzN4Wzfahb3tk16HTzCwrmVWhX4Zm85HZGeIbBbP3JWF8D/RP +HMoLxJ0Dvwv/OmIC6P1Q+T/h382Uu5Mpn/XIg3GsRfx3OeUwntgdz/N5RZjE +7oX/d6j6t6Fw/vc0Fyl+zilmFnoTkod/A/oirzzGdPH+DP7hQNz3PP9//WYz +MXjhLYe67Ugz4fsR7C85ccl8j68R8wbSVxCXuu/rR6Q3+lsVcaP/r/ezl+yh +enPQW041t6EXnXpbcsJr+9x5/P+Bf8EJgzWIcxoJlzZ3RV6cJ2fFftk3/Sf+ +jb0P+5gr9Por1p5KVbNl2E8KEvbP+oxjPPdynphdxprZjROHa+hvmNtdn2bE +eZAfOV34++Bs14rCJeYJYteQ8xExj1KzKFEfI078Rp04sTbrruL9CPweA3cU +8xqAPQU9DfkKewS6kgiLOFfADhP1fOpnw97H8T4Zixt1kMomD94eb/Az8h6k +2t2Hmngf1nQD3D97OQb/NuQw0m45D/bJ/TT83MvAGUu1vyI4TsSaKXU9lb0S +a+6cy9NUtVmXeb2JcnmPg1Xdxyf4olQ31YK/XNV93wPIqHul + "]], PolygonBox[CompressedData[" +1:eJwtkr9L1WEUxh/vVa/e7/3l1fv9OgTR0HzddHJoFCTItUmtKFIhUAhq0ylI +/AGaV8T/4JbgopCCk4OTg6hDUE3lFDQ0JH0eTsML73POec45z/O+9ybnHs3m +JDU5nZyrsrRXkqYTaaYoHdSk2ao0Smy/Q3oIPge/JDdFzTz4Y0Xa5v6afFKP +Gucm4BSpvQLn89QRuwBfl6P3JudbKr0D3+2Thgal5UzKUTfWJV32kwefgivg +FrhdiZme1SLeakgL3dIwy29w72f+ref95zyndze9O0rR09qua7GLNWbMfEzs +mP2+MuuS+r/gjWJo/GI91B1zbzoPd6ca2nJwnhD7Se4z999oSciNwPkD51MS +Pd3bGr5zf8a5of6I2Cr1C7XwxF7YwxM0PuiKntNZaLYO61kBvwHfdEaPp+A2 +3PF61LwqhQf2Yh5PPjTCQ+u2R1vgJnoP8OM+Pr6Hn69HD3O982YjuJ7hWUNZ +aD/jk9TS8OaQnXeT8GgYfg/8dhIe+61L1dDuN/9ViT/kv2NOD7NflGMnv7M9 +s3c//J+Y1VsNj+2te3qmZ6cFqc59MovaXvh3BqS37LhUiDdM0bZGzWIhPLSX +9theO7bOvS+NXuaY+w9+6ml7 + "]], + PolygonBox[{{6030, 3621, 3411, 2818, 6032}, {6034, 2819, + 4384, 3467, 5859}}]}]}, + {RGBColor[0.16675207, 0.1782183925, 0.1898492575], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJw1ll2I1FUYxo87s18zszu7szPzH0kiCwoKXAut3VJwVegi2ihyEFpvLD+W +FrtISEsh7KZ1wWo1Lb/K6S7vyqvUGzWINC/cNSgwS8UgWuqiKLzInp/P68Xh +Pf/zP+f9eN73fc5ZuP61F7a0pZRuaeQ07ulP6fFySoVSSi3Nl2jerfl/Ayn9 +kk9pvuRkp6RGuw7syVKaV0xpsJFSv/YOV1I6oe9WzvuPSa5rT+mm1kb1PdEj +3dL7jNam9L1b44z27JDeq/NS+qjms5yryrGSbB8upDQre4t0ZkJjWv+a0vOQ +9HRI7xrNi5q3az4kHxb0+9xJ6ZrsSOkryYtt1ovOZfJ5VjqXSxYlSxq3c/b7 +lsY5zQ93+98V+fRS3nP2fJjZzj7JHwuOEb2HJdfmvP9St/3/SfPOhmPvkLyh +M99ofk3ye8VzWaOpfWN520D/7g7jdVzfox32n/nihs9cr0u34rtXo1cxdksu +U/xtmv/VldJmjar21Tr9zbypmNe02Tfiws8BfQ/JTl+7fV2l9ZUau7T/iOTR +bvuDPvT8rLM/KEdJvrwn/w8I063y7ZDkwqpzc5/kWe05rXN75edq6Rjvcozb +O5zzYZ2v1O1fX912sHcp7OIfvs3G2RWab5TcpCEX7uA3Hv6MR7zMiZM5mC+p +OralkstUj8t7nNe5vO3nc875kYjxrm3sro3cg9W/2jOk/X/kjAE+Y4u8UY/4 +dr9sDMrWA5J7te877X87/J/ptk8t1WRVfvSDNfrky6TkB5mxOTTg3JJPdNNv +RY0ZzbdKvl6y/19ovFiy/+tK7kNq9VDB/Uocb0nnP/p+U/KocrNNuB+RHNH/ +lSXbJw/UC1iAK/iSM/qZvqZXsDMStuoNx71zwP71lBz/VGAzov0vZ9b1d904 +Yxf9cwV/n9W+Wt36q5LfKpZ3O41vo+F45kvuyIz7TsnzeceCDfwl/uHoszNR +w/QOdQh3DIUd/Nmc2fa45D7Ze0e2puvWxT72nA//0UUO6WG4ZX9mXjkg+XHU +OfW+v8s5oQeIH16CT8glOcAf1g7GOnEQ51DUHf6DJ/83FI0z8suisSfPF4J/ +NmaOCV7EJhyL3W2KYYu+t9dds9Qx9UrN0QPU/2hwKjj9mlnnTcnHhO+D4osV +DfcOvdSM2OEa4ocnpoPHnm53X9/ImdOo9zucXDAfYhdsyMEdTAquf/oAXtkb +HPhK5vqCGw7WvBcuGdS6WiNdrZjzRiO39Bmx8G+i5JyCG/qIE51gAP+2As+L +4VtFep9XXF9Ldyvveic/cORTFdcRHAffgu+pmjn3dM3402/06Z6of843hfVz +OrOmbn/2xDo6xkLPSKzj55U++V52XuEAsMPnE5Fbcv1n0TWDb9TVWPA/uKIX +/LlL+8o+B574AAZwAb6ei7zMRG7gmpmwtSH6Gs48FvvAp0f6nqy4Fjk/Gfc4 +9wocNJ25NmaDu4hpIuICV3qGPHGHv9pjLsHfXXHPYH82/LkQfoInNnvLtgvn +U9PES57JKbkG01b05m/CsLPXub3d5/uenuS9MBV7puPeBSvqnX/0YHdwJ3wI +xkjWd4f+yXh3TMb+zxTLcNm8hr7jUYdwMH2HLnhiKvpqNO5k9r4f7x/eQfAr +3E4cnDka91pXr+Mhlt8lHy57H/fj5bhH4P6e4H9wJH/0IrwFttQYfUjMrD8i +HXN9rqNWxAMmE1GbzOmbubjvsAFnUQPkqxnvAWoEW3zDU3Ay5xjoGgkfVsXb +gNyfDxx4+6yP9wN+Ew98sqDquluf+U3BWfp/Onh4U2Zd/GsGB1KD9DBrG8Of +a/FeysRXz2qcUp4ebfi+xM71zLbpDWp+LHopRQ7hFPL4hLA62e98btP8jbL7 +lbuKO2uD9Cwt+717t3bQQ33SC6ujnj+p+R3zqeTnJdcNOeN9ka+4L/vibbM4 +81t1MN6r3J3cof114wEOYHKgbsz3143lUOAJBisDN7iuFfiMVvye6A9eXhT6 +/wd/QoIf + "]], PolygonBox[CompressedData[" +1:eJwtlElszVEUxk+r7z3te33/N/9fTVEaEhItMUZFdENCKoRadVOqhLSbJlrj +wgaRGEpNNW3ZiNpQVioR00Iai4aoKBI0tTIt8PtyLG7y3Xum7wz3VLd0bGwv +NbMtnDLOtbxZd9RsGZc+8HjWrCVi9o77H3AsadafMGuNm12sMMsVzKpiZkc5 +h5B/5jSjfwwf97HfG5r9QO8p9iMZsxXch7j3TDDbhG2aM1Jilsc+A/6AfBDZ +M/x/Ak/Pmc3D32pOA3hOYPYlRTz8jaPzJG32NeW4AV5J5AnibALf5m0MWU2l +2SVifuN+IvRES8AnwVNkj00f8gQ284vw5m02efYgn0nMWmLv5vwitwO8/UR3 +HI7f4bsI+dKI10i10ptkynkfuh34vo6/JL5fkeMlatIZdQ4XwQPIapLOJ47O +x9BzT+PvatZrpFqtx7YJPMo5Tj6zsFsA1ypOc8JrptqJo7iqZtVwy6L/otR7 +lAevLDoncakD3wI3ZjxeJ37W4GMY7u3Iu9DfXPDYKeRX8B0n7m7ir+Uegedy +bCsDr3Up9o+w3wBuJL9B8FT0lwZe2yH8vKYfae530InAeSF4SeC5l3POEu8h +70fQPVfwGdQsdlGzK+DLecdjvB2ET13os4MLqwWnAPVw+h33GO95a8LfY/Bo +6LPRhc6qhM+IOIrrR+Qx6lFb9F6oJ+vAvQXn8oS3QeJVZf0vqEaqlWZrMjlW +JHzGzsPvbYn3+AK4D/3GqM/QjJz/Af0F1SiT9RyUyxi2O/DXxjkccx/bQ/9T ++lvqcRE+u4hXnvZaqwef8Pe8zP9UPfqnQ++tcj4FnobuDXQrEz6D0aLnqj+q +vzoJ+aLAa/8Suxz+/tKj6P8ZLMv4jGg2VFPNpN4l78V/EHhP1cv+uO+GNynH +2hF7Av+j+puq+XDWeWvHXKU+iwPnoNiqYVj0XmknFMBnQp8z2ci2hTsia5to +thXcXfBZ1Yxr1ltDlz2AzzbwssBnULOnGvQUXKYanxHO+666SQ3v5n23zA18 +V2jH7Ay9N5pJzeY9dI5Gvafqrf6E/oZ2wMKcz4hmRTtif+g+5Vs2A3nfNROT +vju1c/4Bwpe3dQ== + "]], + PolygonBox[{{6035, 3623, 3413, 2821, 6037}, {6039, 2822, + 4391, 3468, 5860}}]}]}, + {RGBColor[0.21125345, 0.2303639875, 0.2497487625], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNl1uQVNUVhrczPdPTMz3T03O6+7SaWIJgXhQlGiyHmwFRK4KIirfoUJVU +WTAW8KRRbsYX9YHLAyAlAQbtIS/enryAITqERKssLy+TSSSpJEal8IGAVVCF +WDH/V/+aIg+n9j777L322v9a/7/XmfKLtXetaUsp3X1RSu1qD1RTGqykVCmn +dLOe0z0ptQp+RvUs1ORdXSm9pv5iPS93pnR7d0qntHhLzNmsZ3XZa5jPHL4/ +qKfS4XYlm2qv+3tTKmmPUjOl42q71E7V+Bz50C8bvbL9asHzN+l5RX2WMvZK +jN/bSOmOYkr3NDyOb/dpjyMFv0/2x2LNb2V/vuxnsv9OPaXn5N9BtZ/Jxmgp +pb+q7de+FT0v6f0f/SnVNP9N+fdIj9uibA5obN5ASm/o/TvZfVvrTrBXw/0x +tQ3Nmas5b2nOFo39oOi1g+Ck/vvqf9Dub4xjBxucda/6Q+r/S7H5u77/Tc9D +em+V7OdFBduuV2z/VzrHCvAp2K+sYt+W6f1P7bb1sPoL9PycPTV/SPF4veC9 +Xo/9jucpfah1X+bGoRV7Mfd42DsmX0b0rdFmjI8Etru7jGNb4H0k8N8vGy+W +nDPM43wrI55jEVP2Ae+6XkZKzpNV6vd1ez1rJ4ruM75T/hXkz3a17WWfdXac +j3NeJpuz2v1On7NhfxLPWtmY8pALnImYDxU8B1vY7NS6hfq+rez+X4o+C74w +d7jN8zd0eYx3sNkb+FytOJxWDn0jW1/L10/UnlD7aJdxfijwGYlzwZ993cYB +DBgHq8fKXku+fKvvH/U4j/AFn8CH3G2VLqw9FRie0v5XVcxnxnbEOGv3x1ng +8bUd/t7dl9LJfp/haKYYaex55fM/lVcaTuvyyJcO43qTxueLy+d7zP1twf87 +e+wba2gnog9fl+j5ofrTS34nJ29o93hLvmWZtWO8bt2YU/SZZjfcH1S7U+/X +dDrOZ4RnU+NfKBa/ya0re3LzCt59gk3ZuavodXAFzvxb8w8WvQfc+3VufJ9W +u057rNW39WqH9X5S44+qbcmn9Vr7ktqTBffJl5G6c/8z+T5P88Y1f35uTUJn +4EKzYX/yhv3Ni87Ps3rfqDNszM09cuPipm1hc4fGFtTMlctr5hl8g5tZ2HpS +7X8y5/9PNGeeYjJ/wPzYqW/Pas6q8AcdX1KwboL/XI3vqRuT/XVjOqPTsaCP +n58Lq0Lu8csz+0vejwUvsEkefp3Zdqf8/1ztL4VtKzDHZ87zh4ZxP9pwnhEf ++HK91lwtjf5p0zrHOTnjopL3gl/kEX1y6VxmDbmi5vxd3eH8hkPwAS4czZ2L +f8yt9cTicN2cZB6cG9X7Bo0fqJvXzwSXdzes1S80fC/iD3YPar9Ptdehmn3Z +GP48lTkHaw3rMnwlB59oOM63yYdbSo4FuNGyF3lYLVvT2IP4oxHY+lndmIM9 +e8IT4vJa3HFg/p7mbNacd9Uu7XQfjv6u7lgQE9bu6fR6OEBcienMDq/hHtiT +OU8P1S9gjVYQO3AhFmN13x9H1C5os3YSOzQ1C129teSW7w80zLv71U6UfC7G +yanhLvvA2HCcd5YwvZFzqr2yZv9+VDNO+ABWW9WebneNwT0KD9FneIAWYJt4 +Lu4wN09E/YGWolncieTGreEPOrxOGvlkxXpPDIgFufqxnnPd3u/53HNHMj/0 +v8qd3+gLZ5ldcS1FvsAtNA5de7ns+gOM6sFZuIuu4D/n2JdZC5dr/Knc+27K +7cPp8HtZ+ER/X3AW7m7KjM3eujEYDhzGS/YP3+DZaLvjdazb/ByNu3EoMAH7 +LDhLDqyKO+6/oS1ozGSMOT913IyqNZc9z0QcidGW8BMut6K+Yr9W+AAX4Dax +XZnbf85xifg/JJwuVbsrtAsNG9U+06vOtR83fZd/0XAM8Ye8mlYy5uB4h+b8 +XvOva9rnY5GT63Nz9mzoD7Ud2IyHDXy7RH7crfH3Nfc+nbFPdrp6fD8MRjxa +inVdGlvrcG7/uWQMptbMI/j0fWacp2Q+O33OP6Vm7ULDwHhH1Htgv/P/uAkv ++YZ2oCEXZ76XiB/2uGe4B1lzfc3nJo9Go3afrMnJLzgyUHaNAhbz5P8VVY+R +o2CHtlA3TQsMiQM16geh82gpmjIYOQsH58rO4ao1bHpo8TS1c3Lf88cHXFtc +G/pcrvp+4m6iHjwR/wXsOyv07fGy6x7qioHM+koNskbreqvm9tIBx6AW2j8z +7FOPdAx4LblzS+QYd9GNkdtoCTUfmgb/ZoeGjEbecq5m07mMrjO2NcaJ/dbI +bWo0/lXwH79W99o36qCFUQvRXx01JJrNfHR7PHKGnKPmKvU5H6l7mYPtYtOY +c49xd6H74E+esZY8oVZdHvapE8GtFljsjZoWjnNe+ks7L9T+jPUHDvhNTMCC +3EdnlkWc8X/y7IOBA/tPhP/wuz/+m6gr+8J/uDgtNPB8+EYuwXviMha6Br7o +T2+cf3HkL3Xr5ojJ5pizNnQEzlKHLov/F+qLFXFPEd8VcV8sj1iAz/b4d5jZ +dB3N/T4Y+U7+kXv4yj1J7qKh5CTcg2czoubkfj8fdzx1BP+s6Nsj8Y+Ib9wB +1bhPFsZ/NWdCs9CuXfEvMBG6QQ0Fx5aERpAfaBG5C17o8YbcmFGb786tSS/k +rkMWBZ7EZTxyA7wfj3z4H3CdBvQ= + "]], PolygonBox[CompressedData[" +1:eJwtlUtsVXUQxkfu7W17e9vT+zj3HPERChRjIiqKGmmhJLpRRBSDiA8Wmhgf +KbhSoaCw0kW7k5daQAorFsbEFyhIUcSEKCxgYRo1PkGNlboxolF/n5+Lyf3m +eWbmPzO35+G1y9dMi4hBqAgNZBFnyhFbChErmxE74Ns6Iu5oiZioR+xLIzaU +Ivowfg3cwOa7iyLy1ogUfBv2E/ivhV8PX08iOmsRKyoRbxHnhkbEQ/g+QPz5 +4DfQL0PfIP7T2BzH/x7s7sbmY3CKfjH6P5G9AzWJeZKELyV+Dh7sjKhUIwoV +5ziO7F10f+HfSfx+/HvQf46sG5uXiDkNXZFYW8CbqWkE3Wp00/OI2dguwqcG +P4H8PuIt57dO7D3YzsvtO6crYil4B/ph9J8iO4b+e/gRcppLnPnot8KPU+sL +2GwDl5At5ft3Yd+au0bVeha+HX4WOY/Dr8RnZsNvoLdQDqvA65ru9eW81bPg +FU338k5k94Jvwudmcn0EOk8+WdO9Uo2qdQF8PzhBPwp/BP7Hgnt2FDxJr1/l +fU+hP0Cs07zx/QX79KH/hd6UqX2UN94FteXOfTX2PxPvWObausmvBr8wc26X +wfeDryDmPGwHoQvoL8nd+0/4xjn0P0APgk8Q4yz4UNW9Vs+r2G0nh+MF9/xl +5Y7NyQ7PzxjxriK/X/n4MD2cQr4b2bKSvzmHb3+Jrpl4llqJczB1r1/E5j3w +B9BwyT7yHWp6ljVzmr3D6F8v2uYIeA80BJ5Etgn7Ufhv2YdnkO1MLZNukl49 +Qa6PZ54F2TwG7kH/TdE7o93RTmm3FHMMvIBcFyauPYF66cd+futQA1pFTWPk +djX2t2P/ZOZvqUfqVcp7Bj7t//foI2QHWv3mevsT6M53u1e3VvwGegv19Cfw +m8i+Qv82/KOKkbiH6p1kA8SvJd5t7eDBhmdHOSm3gcQ7pV1Szi0177x2XTs9 +o+7cr4GWpCZh3aBFmW/HeuxvqfiGaGY1u6rhQ/I/lPrttFPvgzfis7HNO7cB +fA7/z4q+KdPxfYpYe6vu3Re6UZlnVT5D4KPEGCn5jfXW1zOfh7G/khncjn5x +7hjyvQ58Bpv9Je+IduXi3LP7303MfRN0Gy5Qzyb8n4P+KDsn5fY7NUwVLHse +3e7Us6MbtQv8NTZLyv5GnVi93JaZVd+ynWXvnHZPOY+nvlG6VboBN9L/LmzX +dPo26o7rhgvrhu9VvnXfEt3kv8FT3f6GYv/W4dvZl3j2dENnEFP/F7pRPeDN +mWtTDaplNrJrW5yzctdOau40f69guy1z77TjWzPfKN0q7cA/4PYuz5xmTTdG +uzw3cS7a6XWJZ1azqpnQDdEt0Td7+fasqm+UbpNu+L/RteeD + "]], + PolygonBox[{{6040, 3625, 3415, 2824, 6042}, {6044, 2825, + 4398, 3469, 5861}}]}]}, + {RGBColor[0.2515966825, 0.2762395025, 0.2985102425], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmH2MlFcVxi/s7OzO7tLpzjvzvtNdFWsUCosfBa26gpYCpmDVtQEVP1J2 +bWJigTb+Y9NWaK3+Q40s/9SFli1Qd5dFYywmKkTlG6w2ZmNabdG0pdi6YrWm +VEwUo8+P5zT4x5t7536ce+45z3nOuXP10O03b5yZUtoyI6UWtRu7UvqVOu36 +nq6kNKb2Jc1NdKe0QF+P5t/dTOnFNn15Sq9q/kF96yVkeS2lpbNSutiZ0h1q +r9T6j7am9J1qSrnmCvU36lvU6j1rtaZbazq1/gellI7p089L7XF9n9ea79VT +OqX184qUHotx1k5It3F9z0qPfWpfUNtSsn5X6fujfi+XTmfVNtVer/2/7ZB+ +atfre0X9DWrHtHdd6P8HjZ2VjHH9/m+mcfX/nvmOC0Nnzl6g9jatr0rZ63WH +ks7r1R2X6o4HdZfN7Slt0ndC6wqN36Dxn2j8tM7a0G69mL+x4jXIWFazHMaY +2zDT/ZWxBhuMqL8j9nLGbNlqtfSZ0vdLrfmmxtaUU/oyNm9InsZ/n1mvnqp1 ++5HsMSQ5fVr/Y/W/UPHY/bLFv3X/rxWWR/+81txb+PwTkjOk8bsk/08zbBfs +89665SEH/GC/W1uNG+zIb/qp7v487dvS5rtxR/y3Ke6yqnLZb58Stj6h/od0 +/vy6MdNXt64jWr+2xe326P9C63+mucfVTpY9h63AaU/goVdzs/mtdkq2GFZ/ +sXTao7vu6jBO5kiHZRrbO9P+wG9LSrYFa1doPNf+Xu29W+2jDdtkt9rdkpFr +zxnN9Wv9QJvlcA/6C3THimLnZsk8qXs9JB2fY65k/cAteK1JTneHsQlefq31 +Q5LX0HzRZaxvLfm8YqbtCH5flF8ekC77S5YJXsACduAen+xyXGMz7IOdkNXW +aaxMxT3B0p1a+5Uux/Je3W2T1k40HDevlMwRtIxjn1tjH/r8UL9vafXYXmKk +at25M3c/pfZ98mW/1rxf7eIW2/ztyTZGNna+RXu2Sb8n9Puv2vMb7X25sF70 +GV+h/of1jWlfpcX+ndLerisUt1far9x7Rdx9uXSZL52a+v2a5t+h3+cl6y+Z +bdYu/7xTY//Q3GudlgWOwcasujF+RH6frhmzmwr7Bz9Nz/A9wNCgFv68YX8c +VfulwnFzb2Yb4Hf2j5ZsL2wFTzSr9tX9ss3zWjOhc2/S/ndJTmthn4Mv7Pwx +jS/UeLmwffElc3Aj8j8euswNfV6PN7ByQHfp0/l/05kDkrG1bD3ADjzL3hMN +jx9vGMPIAcdwzE/VnoOfde5kt7HLmc/GvZZW7Xv0eqQwx4+qnaexG6qOk2Vq +D3Ub08TL8xEjZ2T7qzR3oNO67I9csDDyBzwMx/QHzxzSXZ5U/7DalYVxdLXs +fES/n9L40brlwN3w9uHwC/5BNn3kE3OPxZoFwfXko3l1n32N2iMN4wS83NHm +nDEesY6tifeHCsfro5lzC3GMTOJ9f9gWm62o2m7Hw+bo8ECbOR+OBFNwInzY +FzmAWIbnaq22P3mR8e9Kt70V4whsYCOwBSeQJ9EBv39GueY9Orur05yDfHQl +h05WjJ/r6sbLHum/ozA/jKjdJnnDkWvgFWyEPsQfMUQM8o0HT2KXsYgdeLsv +1g/HGjgM3yMf7P4zd167r/Dd10dMkTefqfj3eJzB3pHc9rqtcA4Be2B8OmKy +V7E82m5cEU89bZZBPbMj9iIDO5yNvHOxwxx0Kfdljtk98vlgybKx5+7g/DG1 +Xy+85xuFzyBeiStsiT/wBTadjD7cjj/AwEs6+1vyx0rpmWvvt6PWGohYHP0/ +noW7uN94+JFYnBPxSF2zqOz9qxrWY23dayfirBnd9j1+P5U7fk/mrvfGwl/r +Azfc8VjuvLozM1eSI7HRvzLXZ3Prwe8Vr38ueAcd31b3GtbOqRvXuzLrDI+A +LXLTy5GfhrusB3fMMsfcmZrvwF0O1l2L4h+wREy9GjXbufD1dODzfOQO8j5+ +BdvDZecjbErNytzDheuZR9qd+/DvlsAPeAE3cBH4xTf4ZXPZ9Sz57tqyObk/ +ctBw6A+mkANuNsY49iWWuPenc/MCev25cI6B08HzQNQNnPuRhts3a+3ntGeN +5j6buw6jHtueWxdqFPQhh4Jv9JxfNicQb9RlQ1HjwdtwBnFL7qfF1tQy7IU3 +qQ32le17ctm6yMvMcwZ97kO8o/M9uXnwq7mx/4EW4x88kpvYg42Jb+wMT4+W +vW408h744RzOw0bwH3bknvdl5oBC8q9TnPQpr+8s/La4fZZtQB1AnVCJ+1LX +kqc/WFy2ZT1zffyf3LUP9oCLJhv26z7WdDhOeUcMBSboH80t83BunJO/B4IH +4bIiOG1r9Hsy50BqBOqPL75eRwR/gk9qk84rPM/YthjfmbsufTh3bKwJP70Q +7xy4hN/n4g2CbO6N/F2F43u32nuUW+6uGpt35fYbuRH+g0vBCbGNn/ujnr3Q +bj/f1OF8R4yNBP8vaprnqJvhRzAChsAP8k5HfMLbp4Orn2x43VMNY2Q89ER3 +8hf6H4w6jjtg+31hf2Q+HXoeDvsfzz32TJw1Fm9UOGFZxAD5l3glXuBD/EXe +hQM3F84v5BnOXxc2/H7Zd10XOoADeA17YBfwx1gW47xxyzXXxtxve9TSb5E9 +12js8cJ+nQq+WhtvGd405HnqDPQhJ9NHBzgDvMEbvZl1+l3UJ+gP3jgfPbAP +evCb2CGmiCfij3qnP+yA7FqcNRw1MLHLW4rYg+ub4XveNKvivTEUfA1vH5IO +PU3bgFjErxciL2PDJW22G3kKvgPDcPC2iI8ludcszl2v5VGzzS7M/29SO1Dz +fwT8PwBXDEXcDUYcYhPesfDH9sL8cGPUSMT97Ih98uSSyJUXon7oidy+J953 +YGJx5FnWUmu3x9uOuOMe2J4YABO8M3hvoBs5H33Q42KMPxHvaPiEWMIng1F3 +kcOIj7fWL3MunEMsc0/uiD6LgifBDm8w3vTE9YGIbXLX6uBKcnot3oa8B8hB +czPrcmfoebLhnHeq4bcBPHxN5jPogw1kTndaLpi5NnIZ8XgxYrKz6TUdTefE +/sAY+KFGAUPUrseitl4dPkfPwcArd2Qfel7KD7ljBm54Q9NvvDeq/R+vp2it + + "]], PolygonBox[CompressedData[" +1:eJwllVtsVFUUhned3mdgmM7pOdMZtWIUSos3arygVSqXRAJYiTXiJa3ExMQL +oE8GKlWqT5qATwpoI4gUkfigMQrRlLa0hUhMYwRfeBCJEbDamNbEhBr9/vwP +O/nXfe2111p7/sbN6zddFULo4ZRzuqMQDsFYUhnCuvoQ2gshvJQN4deqEG4H +n4F3GFkO3Xw+hE/RH68IoRneKmRTdSFM4KgzHcL1yJtQbMe+PhPCeXyMwZtA +NlsbwhtJCEVkK7CZhXeMcx3yxfjuryYf5CfwuRPfHZwDyB4k3ns1jnkkcm4D +xChmnOND6Leiexb/y7DfzmnEXy/+esHT80K4BZsZYu0kzxZsV0AXsL+AfT86 +aWRr8X+OeJPQP0An0APQr8YhbEFvgho1gE9xvoW+nAphFDxC/C/KnfMouJqa +dUCvx0cNeAf+rtS6RqrVODq7Km0j2z/JJTM3hA/R2c/5Hf3TKefwB7iAfC52 +j5Lv1/AGsNmO/RT2O8jvTmrSDX4amzvA/5DTdMox+7AfRP8p6LewOQ5OE+tL +fD2bdsz5+Lgp2Md/4PbEtXwXm8dj10S16cX+E+wfyPqN9bYxfg7XW9aG/UHw +EDaYhq+QD4NfxN8U/r6DuRd6En9dFa7BGPp90O+g24Wvq6nXJfQ3ovs9+V1O +3BPqjT5sVqO/mNhH0G3IuAfeT9wHstmbOGfl3gnvSfAV/G/CdglnEfVpzrnm +qrV64C/kzyC7oGFA/ljsWj6M/YbYtTpPDx1Nu2YN2P4MXZMyb7dyxLYKvAe8 +nLdKsn6rcmxXZt1z6jXlvBufo3oP6D3gBXPIK+da7iOnpfA2pDxz94DPcudu +6Db026BbC47VxDuuA4/B+wZZJ/q/EHuG0w/+kTsNRu5R9ap0xsH3J76bZu4+ +8DUF1149p967N3asOuz3UZsE+mJZCCV4BfDn3KejzvPxiuoPb1eVZ1yzfpq7 +zFCfaehVyJehv5yTZLwTbs56JjWL0vl7nmugu2tGt8WOpZ7cCi5yGqvcI+oV +zaBmUbwS+Cfq81mla6RanUq8ix7B/0nwLDovk+skO6QR+trEWDtFu+VY5N5q +Id7RyDOvu2U0H4lroFpo5k/G7nH1umbwEPgg8hj5Us5d2H8Mb2ule+JAvXul +lPWuU8/kqM+WOZ4p7Z3BnN9Sb6oadSkH7ncrPtZgfzzyW4on2cK8Zbdx1iL/ +l5zervYdddfxxLtHO7CI7n50fitzTh+BT8SeTfXYSOyZ1GzqDT8AN+X9F2in +arcqhmKdwf8Q8YcjY/0Z+jsWckbKvWMWgFcT/1ytd2YP/p5P3OvK4bnEO0u7 +SzvhBeg3E/8N2lnaXduy7iH1zkpOqeBdoB4sgjdTu2zOs6UaPhF71vUGeoum +yLO+Bp+X6NNabC6mvXO0e9QT6g3x0sjujvx22gHaBcP13pXa4UPgGyL/fbrj +jeAWTmuFd4p2S2WdZ0KzoD9NMRVbPVnKeyY1m3qjSL0CXZZzf6nP9Mfpr5PP +Zny/nvjv0o54LfHu78m6FvoDFuW9q1Rj1fp/CtsMpQ== + "]], + PolygonBox[{{6049, 2828, 4405, 3470, 5862}, {6045, 3627, + 3417, 2827, 6047}}]}]}, + {RGBColor[0.2900108775, 0.3192062175, 0.3421045975], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmGuMVVcVx0+5986de2eG6cw9957hTesHgQqF8Cql8mgrUB7V0qYY2wiR +h41RpjR+0ZQq1CdNaHgYJZQOLQwzFgZqLG20NYLKAKXSgqm10n5RUxyGx5ig +rVHU/y//RfxwZu97zt5rrb3Wf/3X2nPTF9qXrh2UJMnPbkiSnMZZ+jOlLkn2 +6+WKNEmeKiTJrzQu17NJ8yMaDwzyutu1fkQxSeZqfofmXfkk+XtDkmzVOEMy +bqvzt6l1lsmeVfr2qPb3Sd90vZumZ07O+mZrnCE59xf9bqbmQ2pJMlK/12v8 +WCVJfqL171aT5D9lyUOf1m1pTJJ2PWXN57XKpuYkeVV2fLM+ST4oWt/wtiS5 +KJ1PSsantGaU1vxCa/58o+Rr/prmb+YsZ77Wv19Kkvf0rJWM7rzPxrkuSd5F +PfO05qDs2Ch7DmlcIJl3NSXJNcn5mmR8Xc9Q+etePQXNZ+et7y3paNDTkcle +/d6lcUpLkjwmGy5Lbr9+n9H7EbJ3kN4/LJnN+r1T539a37+i733hH+Jwd94+ +7tF8otYvkJzh0ndA80Waj9K8ovm6Jtvy16LjgL+x51rY9EOd4w19n4BczSdr +HC3/36L5Cb0fr9/DJGuEnn7J2Fu2ngtF2z260b7hQSc+OiW/bEOuxlXy5aZ6 +y39Q7/pz1vGPBsvCt7/Xuh59e0fjBOFsqvTeqvGYzv6q5J3U+G89T0nONY0v +5S0DAPdI/oGS471MMs/q2zI9Kwoev5RzPIkrsWuv95z48vDtgvAxVuMDkvFF +rd+t9+c1v1/7l0vfZzX/vMYGxeYB6TihWNRke1XPfu3bLNtfznv9ucAPuliD +bUvzHntijk0HS86Frpz3DNX6QyW/H6L54pLjflLf1+Ssh/Pulh3b9b6j5jxg +Dn6xtyf8MKRgm3fk/Bvd7YM87o85+UBeDJWcq1r3o5zf76vYBw/p/eai87Zf +6+YrtgsanQ/LGv2bvOsU1rJWY/4j7dkg3307cx4uizU/kJybi8b/ltiLHGxZ +E3rfjvxBzvVcAp8DeecQcgYPFm6Ut3vk18/VHK+50vWR3k1sNgdlZduMbztl +y2rNC3m/Wx1nYR9cA88sKtnX+Pk5nX05nCbZj9fMbQsl/zw5qDxa2Gb8VguO +xSdrxi34JR9X5r2HuOE7dIGFc4Gxc4ELYv3zonOiQ/NhwXVwHrZgE/vhgDta +zANLSsbuI9pzRfPLkVfbpXObntM55wpyOUOTbO3TvkaNjzWZC+CBXq09lncO +fRg5AJfj00e0/ozseUK+XN/sOOF7Yon/x6be+y/5abiep7X3v7J5ZsGY6woc +kiPkws1aM0H+uNLqGIMx4vJiyViHQ/5QMP/DS8ObzePoe0H2Tm4xv5Bbh/PO +ndURS2L6Ttn1BpyPbja/w20P6byp9g7WvDtnu/A5teN3Dc4b+Bt/cL6R0tFZ +Nnfd12pMg8O9mWXs0dgqeXc2mdMHMuP1Smacvh1ciu+6Q1eSGg9/qzju2AAG +qBXFVmMcjiJG8NR3JeuabPiOxnHC+ZEW14lvZcZmr+R8OTOmNlbMc6ynDj6h +GKyT7d+o2cb5rbYTvkZGndau1d4BrW/XuDszjrok53uZ/fJ9jXdm9uldGr8a +NWHnINfR9qjd4yrm2VOZa+aWyOWTOu8fted1jcf1vKv5idQY2hI8sE95sl5+ +f0FjtWIdi1LzKZg5qXFp1b1BPe+q7iVKmk8XjsfLL89rfiw1bno13qNYHW1x +faJudOSNs5dS17VxWn97aozO1Li46n6GvubxgusIOdiZOc/2abxUct3j7PdW +3QvRE8E9TYOdK5wd3uVcn6m6zylmlg2W6WeoKWNK5hpkULfpnXYpb56pd739 +ddX143jV+dcQOFoWOU2toJaClVfyrrnUWuLXEbWEuOD7OdEP7Jc/5jW7blNP +WENNIUd3BA7R9VroI1azoq+Y3+z97L0UPQm9CZy3JmouvdjVqEsLtX5Si3Po +t8LfUdl2OvDYHWeBt5CDzfjuTHAga5HbH/gG589o78PB7XD8BzWf+TnZ0BP9 +DX0G55gbZyHP4F/q1kjhZIW+j9I4Sbb980b3GvANvFMILoFTVuaMbWok+Ia7 +mMNZB1P3Pz2pscAcPMC13dETMod/6RuJFb/xM3F5JWLTHetYQ65uj7iuLrk3 +gq+3hTz2kgfnwwZiQt8GZuh94HuldnIsMAN2wC9cTs9Gf3WkaH+Su6zfGb0i +OMQ/b9S85lTNeOmLOkjvgF44dlP0i+C4N/y1Mvqil4OHqVcfRu04mtrGJbLn +l6mxf1WG/gW+jrowRWN7wbk5KvN56OngR+I3I7U/8AtnxC/8vn6OVfEe7FML +wdI0YWlq2fkK1tCHLuoTdeqW1DVxdfgZjoAP4cVhwY8Xog7DFfBAe/AZ8aLf +oafoCk7piL6CfS9G/SKPkc1e8hw/k4NdgRPkkPv4mfyidnP2dfBjzbWavuO+ +OmMGHXAW9vw0te2cgbPTbxILcvBw1HDmbWX3PeQ6dYwcI7/IwffL9s1tqeNP +f0d+0JNRs+BMdKP3ePTb9N29VdfwixXHcGbEkfsNNY/6BX9zf8B/r2v9Vs1P +apyTGVOfrrp/oicaWzFW+4NDwBEYBlfgBvx8vGLc7an3b3hpatwf4VY4dkLF +OJoaWPpTq33TG33slHjPmbaGT6nrneETbMK2MRXnHHcQ8o5coO4Qo70V2/Wb +qmstNber6vwgB8A/tePBuC/Bg1ejjyXnTwffno17Kr+XlG3b1ehpN9S596Cf +oSaiY3zqNZ9I3UMujj7wycx9Nf319pAJrn5cdW1/Tzb2VC3zQNVruQPDp7vi +/sg9Es6cEXfzyXHfA7fjUp+Xc1NXO+rck9EnvRm66B0G4jexww/gg1pGDwyO +h1XMQ32t1kHtJhf4ji6+Uaemx92fus6aiRXXe/x/a8U6BqLnTyuOL3GmjiyJ +Hpr+hj5xdvhjVuTaDn0fKDk+s7kjce+tuc4wJ1b4C789m5nb4Q/9TEbWfE8Z +obE7ehV6Fnpt1sCl5Dd8yrk4493R87OG3Cavye8r0Z/flNme0Zn7YHh9Y+Q3 +tuJ/at3Y6BOo+2ejRqBrbPA2dRrbqJ3ca+CguvgfABxMHYQPL4cNb8W9qyH4 +83LYD2fD3dz9GNmL/fTF3CXxI7GC1zrinsKc+HJ/rMWdF9xiR1304/DP9doK +Ty2NsRZzuIP+AzvZz7e1kXecuyd47FDUaHpTOP5iZp49FPdi7iucAfvRuzn+ +z3NP6nOPzIy3XfX/P8eusJ9agY9Yhz+mRe3g4RsYOBBykIfOtuDVeVV/358a +F5yfs4N1cD0m9Tr8QI2gRyLnyXfetYV/qAN7681BxBAfFoKHOCdnhLOpZfA2 +/Eueldt8Vu6GnJd+qj38QK3rjRp9Q+q9kyrW0xe9547ICWLKvQ3u4vfh2Est +aY/7IDLJs0vx/y74GF6mL0A/3PJo/K+MPfOih+I9+IZz6VfhQt5tiPfUTM5c +CH3Hom8Bg+gFG9z3RsX/lNi7KO7m6IDH4fD/AbhkxBc= + "]], PolygonBox[CompressedData[" +1:eJwtlmtolmUYx291e5c7PW7v877PcnNT+6CbNbdy5pxpB2jqStq0FnRQMs0P +pSh9CjU07TRIsCLEPMQc2eaMMOqDRS6abh4qi1ADv2QE6cwRrBKa9fvz98MN +131f1/W/Ds91eKY8s65t7dgQQgcnh3M1HcKK3BDeToVwKhNCbhJC5y0hvMnb +Q9zf4H4jP4SRcSFcz4awviiE0hLkCkNYgsz7vA3C25EXwh7oevB+BfgiOi3o +/st9HXKzOHfEIfzJfVWuZcbExhT2KPKvIX+ct/Pwe3DyWeg2zq7xIZzm7VPo +UeQ78K8U32OwGnlbCdZzYMyBXlSGLfz7A39+Q3ZTFMIZ7gvxt5lTD32Nty7s +VXLfis1asLaA+Qr0y4oR3bPYr4DOw9AR5F9CdrQAXGS+x9ZP0MPQ1ZwGsNbj +3yHsnyNnveRyMpjl+Ded0wR9APwUstcS605UjGm/idfBfQm6e7jnwz+Gn7OJ +5T7uy/KMcS/0Xnz6Dvvv8LYf+ht0VnJ/C5v90Cfx4WewevF/NfSjvDXCO4eP +96M/E9xm4iknnstgnMhYdyk5PA59POvcHhUPehs+DsMbRn8t+sMwH4b+BJ3b +4PXEriPlQLmYhM5UdN/lbIefX2bsZcRUUOacKreSqYT+j7OD+Dfi8w3o7Ym/ +hWpqm/DwNcJmO/4eLTCmsFdwrwTvhcS1d2VMCM8nrjnVnr7hZvAeSBz7LvCe +4v5B4tpYw30/9HliXg09n7cF8J/mPA59K/50Y2tf1rn+Edsn0sYQlmSWq/bR +30kuWjkHVeuJc6VvpG81P2vsDHhd8PvIf02xv/EkYqgivoWlrq0vORcyzq18 +km8t5PdFdHeTs8XQT2Rd66qJJ6FfTdw7P5DjEXC60dmEfor7Rxn7JN8awKhF +vxP54gL37kV4v0ygViPbLgA3xr8NReZLTrnfHLl39A0Ogbkl5ZpQbZwErx36 +d2SL+B4D2LigXsDfVdDVyMwL7tEQOwbFMoDMYeje2PQMMJvBnsG9P8c1XQN9 +ihiPEetj8C/jSxG5+ww/1mCvk7hvjz1bVJPDN3u1tdT9pZ49Ent2vIf+Jd4H +sPF5jr/ZyYy/qb6tZtzrxDKUuDbO8nYV+m/yUw/mX9x35jgmxTYb/Tb0l3Lu +TrnnBuHNTJunN/HquM9JuQfVi62chpRzdAL5WvizUn4TTz2r3pXOMvUz8V8Z +5xycznomajZK55GMZ1lxsXOhmXYn329x5Nk2hM702LNIOa2GbiYHFZF7STO8 +qsy9pJmm2VYZuSZUC18gkyA/Fszo5sxS7i9NME/fQDWn2muHriGWu5DtFS5n +MmciPg/Rm5X4Ug49M3YtaidoN/QQw4Ic11Qv9OmMd5G+kb7VZPXTeO8A7YLr +2NuX8o7oj10Tqg3NkIq0Z4hmiXSmoPt17Nk6lxz0qZ4S+6qaVe0OJp5N2gFT +0f8Ym1tT9km+fZjxbFFPHYRuAqMp1ztMu6wuco2oNkbAmZa2Le1Q7dLKxLtB +O6sqcc+pt2TjcMY1qdpUj2fSnjmaPbIxV/GCPY1+PJDvGpxU5tpUTiugN2C/ +u8S51lwrLHMvaqdrt2/KOvfqwY3QLZFrRLWhbzSPt+XjvLPuyXpGaVb1wT/D +fW/iWaJ5tQ96YeQdot1RUejd+s8Ex64dK1/rSsyTz8di/0s0Yv8r6G+zxlZN +q7a1A1VXqq8u8B8Ef1Hk2agdNZj1LpKPA9D/A/WGMb8= + "]], + PolygonBox[{{6050, 3629, 3419, 2830, 6052}, {6054, 2831, + 4412, 3471, 5863}}]}]}, + {RGBColor[0.3284250725, 0.36217293250000004`, 0.3856989525], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmGuMVtUVho8zfPPNlXHmO5fRDpYR6A+xgkiBchFQRgUUkApYW20wOkhi +cZCmf2yUWulVG51GUNpYxIoMKMjNgDZq2lq5KAKSBtMWTBrTxqDcFLCx2veZ +dxl/nOx99tl77bXXete71j4dt941e1FVkiTvnJMk1Wp7apNkXk2SLCslyfHW +JBmmsYvTJBndkiQzmpPkwsYk6dbT2y9Jpmrhs5r/cTlJavW+UXOu15wh+j5a +61dpbKWELtacgw1Jskj9as25pSlJWvV+QZv20L7LKkkyqEiSj+okX+159Uly +vp45Wr9Az1fUL6udrOdlrWuUnD9oXpP6q9We0LrhGlslfe7VviOj317vtVv1 +fbnONF/fXpKMs9L3TNn63KnntJ67Nf9nkvUT6fpJbt27Nf6B9JshGaNKntej +s02N80/UvOcl91CWJNM0dqbB42c0b1LYZ5j6v1Or5X22QC4yZ9dYF96Xqn9H +P9vwddniTc37vWSfiDNz3m7pdUTn+FBrV9bZVvjoxtCHOTWNtg9rLtL3TrWb +q/x9Wuj8XOb91meee2OsxSZfa7RdHtczRE+Txh/T3DdLtu+rmv+ZnoNxJsak +bp9eh0O3k3X2x6r4Tp85HZI9qNFYuUl6HKi2fdkPvJxW+1Ct17O2t9oy26ts +8+7QEyy9W/elPehfozm/1vupOstg3ZEYv6radpieWPd7Gq1/k7A3V++75fMx +9d73npLbU9EHg2Bxk97XSO5x6ThXst6utj749xHZ58V+Hr9Y/V0l+3yhZL/S +YBseL4z/D9XeILv3aE6XYuphtRsl42rpNlvjj+j9do3/MOyNjWdlnndbaluO +rrc9l2u/R4kNzTkluYck/6Ta/56bJM39pW+98TGGWKnyuTgnMrD98liLPQ6F +T7Hp2VrH5Gup9fqk1T7CP9hzl8anavxbmTH+WNn2eCp3f7XagbLtfMntUHtv +bttPl25btGaZbLQ1c4zuL1k34mVFYGJo4fGXtM8LqbG3Te3zqW27MbWujwc+ +9+v9iMYPqH1Lz2H196ldoHN26Xm5bFsiB1xhP+yAf9f1sx3wI+2K6Ceyx98a +fD64Aw4hZjfXGQtwxbGy3+mP0TmHyebPSPetNeaL08EtzF+sOd+THeZpzc1q +20r+xvgrZet4e7Xjc13osBMu0LNdT1c/Y/j74bd14Xv2+mKfFcE7rEXeyPB7 +Lr5dIr6dqT0/0vi2Ovuddmv0h9aZL+aWjc1NVfYxeHxe/WsScylr4OFxyGw2 +ZzD2QowTz8jEVsQO9oHDabdEnxiifyzWttd/aeP24Hk4Apno+0y9cw59zgDH +TQ6Z50dsHpCO66rNFVOF18HN5qrO4EHs9vXU9vxUwTNYMtbWG9MHNfZ5vW33 +nmJnULPjFruPCR9dp7ENLeYw1hFb7AV3vxTnnqZ9L2w2p/6qsMxfFtarN3Qj +BoiFSysef6+fv90s/xSS36K19yv+ZtQ5B/SU3V9SZXtsC5s8oPXHZONnM/Ph +rOA65s6MtRsanY/h1t+UPY68u/Ucrvf+J9WfUm0fz5LuY1psmyuk5zTpOUfy +q1Lr+c2Ksb4yciL2uLbZNtkeWKVWoAW7CzVvR/T5js3gRHx1rWzV2WQ+Pre/ +OYvvW1PH5Wy1n2psRLNzKn44Gr7YEfLoEwPgAwyPkH7f1tw3pfsbueNqd+5Y +nhSx8W7kBXjuMsn+n/Y42+B46o2YIgbADHkTXjsR+RcdtscZd2fm/Z2Z/QWW +8RE5gTXMp25hDFuh84thE/B6Z9Qbh8NvYIM8syPOtaiwf/EzGCaHoc/PC/uW +GgG77giZxNPmiCn4YGXIJ2exL3H3YGFbPESu0F6Tpf9vNe9Hjc4B+KK95DHy +ODVDT+RcvjNvQMln7IlaoivyLVzzWtm8djTybVfk3HHaZ6yeK6od4wui/qHG +PBp27Sg77wwsu56kFoIHVtY4FyCf2u2miLW+GqvB/tpYYxn4BXwjH9shC7uh +A2vfb/B68A/2weEErR1f4xiA82jhPXAELzD/UNQMnH2i5l6up7Pa9ptU4z3I +4VdWO18SS5wVzmxu87791f47N1+uKey386K+BQ/08TvYQzaxtzBqB/R8NfJz +U+DqjjgjOYqcC77BUm/4bkXkNfLpD5qcA+BOcD00+BDuWxs8xjkPxnzsTX1J +7pgd8ThQOq/KzSNPqO0tzFVrC9cG8A+19MeK6wnS/aeFOQbewNbnpMbDyYrr +a2IGHJ8o21bYj9w4NHLQ04Xlra/Y3+hFjB+MOOadHAf+wAYt+b5De58KG26K +3LogagByCvcFauwT9Y5rYhX8dsXaiyrWn3P01XoNrusy2W9Kk3MPdQ21B/54 +TuNjW1w3Twp55F84BV4Cn6+nxsL14opbZbvvaO383O+MX6I9R6S+L11GvaPn +n+rvTc2JB4IfiMurwr+DKsY797OluTH949zrrgg+R9/prdaZWg1cD6u4VuoM +Prk6873kudS1KTXqV9ucF9bVeg0+7CoZW/gPP45LzSvwy9zI18QtMcs9qbtk +DqJ+XVLyHsQWsYZu2Ja14P/mqIuuLOy79bXG/wcVy25sM056a20v8i3xDC64 +p4GnXxTO6305SLo1FN5rlMZW1/qOdntwDXwBtrEBsbwp7gjwBbZFX/Smxh5c +8X34nMJ3gpPBd2DngRrXIVOCTzsLcxhcRv3cXRhniwvbinwBV2/OvHZT5rns +C0dRt04ILtqQWo9pqf0JfxIjzPmCq8jN2Gm4dKwvPOcb6v+jZC5iPngYF9wL +N08sO/cQZ9gcHujIfdcbqHZy7jmTcnMN4+BvX+b78361QyuuO/+emYe4S8JF +xCoxe6xwfOMXYomcS41CnsM+3cHz1OCj4z6yMu6y+OWJ4Jm7JGeNcnRbq7n3 +ktT2W1tx7VDb6pxF7dgd/LA78v5etZemxuJwte0Vx/f7WtNR+K74meY8XTEu +Ls+dq++OfD0rdOY83FfgTnxNfCyO+9HRsCm8nVWMl3+1+l8AeHtH7Uzp/+cW +33s5M2cHY+NLzrW9cZ/tDpkXqxb6U4t56oLc+GjPXbvNiPptZ9Qeb2Q+B3js +4706v8PXS7Xvfc1x7w8sTU9956S+3526Vrg/fPQf7fEwfNFmnxLL8CR7Mgfb +cE+GD/cU5oPxof+6inF0S+5/CuBhYxY1b8nnHZt6DnPb41z3wVcV7/MUdXLh +f0LrC8fok7XGA1wyOvhkdqsxMSD+xYyK8ZHB49zvbot79V/VdjS7Lqcm517N +fWan2iHNvieQV/EVHMGe5An2BRO0q6O/IbOe6Mu/qytbrCs4ORP3YvIM2MMX ++BsfwouNhXlmtNZ+N3PN0EQdl1s2GMQncB9xTRzMi5pmv+b8ReP7cv/Xoh7i +rGAXX3+e+z/So/EvqQ/f2n9P7jqhJ+pSzvFknJG8xB2CeMGurF8V9emOqBXn +ZuYTeGVPak55Q+2NmXkVfh1QsU43pOZS8jY55Y+pawju8eCWWCbX809kV3Ar +3MP8afFfCDuhE7FNjO/KHEvE1BbJuymzDbEle52KtcjmjPAPviVvkV/4f8J/ +K+79YIH8AR9yjlU15kfyzKm47x7IXb++nZsrmU+uAe/kKmKE+xd6lqOuJ37g +C/Ik+7I/OKCuIl+DfXI9eXt86niZkLpWGBL/2chp7IWOb2X2497g1QVRA7P/ +sdAhr/hs16XOA+xLjj4StWln4BYcEzvgCPzAVWAO7I2p+L6A3Dlxt2Ac3xEL +YITagn+ycNKA3GeYHLXunsx5mfz8f3QaBMA= + "]], PolygonBox[CompressedData[" +1:eJwtlllslWUQhj8o55xCW07bc87/94KtC8YgskbKKuASgZbFSgoUN0gkQRFQ +jDcawCjgHsFgEE1EUASEUqHqBUaMiixtgQIxuOENxESNtEKAoIjP6+vF5Mx8 +s3wz873/zCmfv6RucdcQwgaoG3StOIQbi0L4oEcIVwpCGJ4NoToRwlLoWiaE +2nQI06HKwhDKoUfQf0SAW5MhNORCuB6F8Go+OmL1yjhWdUkIFYWOOQ3fEcgX +Uz6bi894fH8mfjux7oxDOI3dW3khPEisFdgfxX4KtpOhkfAdnG3Dpgp5NHIj +v/2hG6BmdHWlIfQm3tPIA4hXje1TyM3EfxH5OvIpir2KXc+yEH6lznno/yDf +ZfjvKnGsK+RYnXFtylG5HiXGT9g2UfPD8MehMwn3QL0oI2Ye/qUFzmEnPue7 +hLAS/13wW7g/n7uL0L8HfwvxR6MbA81Cfx80Meke3IF+NfpO7DuRlyI/Fps/ +SX/epT8LuXN3V8eox7dJ/tg/h7wHfiD6wbzFQc5uhh9GfX/xxuuRL5NDI/F7 +kedYUda9/rvYOvV8O/oydAfoxQnum4rNk8hvc2et7s64TtW7g9yGItdw3wLi +dxE2cs5FNaiWZ4jxuGLh3xe+hn6Vk9Pn+Ce5byY+y4m3Cf09Wb+R3moO+mH4 +j8s61wXQBeSdUF3SGB2G7lNinCP//dgvhBZxtodYE7C5l1xaybGhm988zduP +zFinnqv3rdj/mHBP1dtKcjtLvKI8xyzEpx7/evgi+BNZY1d36K4uxF8H/ldx +FuAr8C+mhtmFrlFvrLcWhtqw70Q3K2mfKnJZgs/rKWNmMfzgrN9uIfcPgh+B +zVjsx0FzcsagsKiz2cij0J/D/gwYqcW/Bv0y7uI45DL2ka8wewxdBTYXu4ew +EWpA3ge1o9uIzW/kdgaf6cirkPcK/9D6pHuu3vfmDTvItZyc+8BPgManjBlh +537kR8l9FmcPwH+P/6I820xEbkPe180xj8H346w/ujehNfgfR/465R6pVysi +3yWMLYc/y9mGpDEZZfxW/en5FwV+s0OcfQsfoJep9QfuaE46B+UyjxhzU/4G +9C1o5mj26Gw+fCc+p5BP438hdk/UG2G0t2YDNg+hb9KMgG8n5htJ16TaVuMz +juuf5X3XxMa8sK8ay+G/4nsb2NPzQDNVb6a30zeyEv1V6HKeZ9ZL6M5Di5FP +Yd8Bf4l8pvVwTTeRz96s31ozT7NPGBQW9caV8LtznkWaQY3qd+zZ+N/Mhj+c +M9bWYnMEvhyMzyt0D9SLlsizfT/5tUbGjLAjzHwG35wzVjSDNIuGkMwU7D8k +fnfhGXky8g7kfORByJOQtyOnkI8R8/c8v3k7fN+y/2sFY33gW3POTd9gC/w3 +3Pkad99FjAPwQ/SNJNwT9ea7nN9GM7CSuz5G35YwZoQdzRjNGp19An8y8qxT +DsplGfsrV+LZpO9gCjmMKfFu+CXyDNQsPKydoPkZuTfCRFvkXTc17V2pnaca +VatynkFubbFnm2aSZtMRYqxLuEeH4e/GdxQxLqW841pizx5hagD1vBAbW23c +9zz8NqikwLnq290cG1tfEqOa3F+J/S0IU8LW1ti1CFPvwx/izrUJv8nBrGfX +yrR3r2ZYfql3rHbrP8TZnXXtA+nnJOp5J3IummGbIuc+I+1drRq0u4vB+9Ye +3uHaRcPT/q+hnXR77FkhzNwGPybrXaIZMho+Jt4TRa5Pdf4Z+9vUDtIuEsaE +NfVwZs47UrtyAzG3RJ4pmi3CdD/6UcXdtaWuRTNDmBQ21YO6nP8T6L+Bvunj +yJsjx9JM0WzZRU4a9ZqxjVn/R9J/JWFwaNY7SrtKM7mr9Ny1Kekd04Kc7umd +pV2lnvwLItRQvw== + "]], + PolygonBox[{{6059, 2834, 4419, 3472, 5864}, {6055, 3631, + 3421, 2833, 6057}}]}]}, + {RGBColor[ + 0.3896422375, 0.42122897000000004`, 0.43963299499999997`], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmGmsVdUVxw9vuvcN8nj3nHvus8hjTrFCI1DbPiOjzNBYRoEqRWKhj9dU +ZUq/mKBSTdqS2MShjZCGNo0CzzIPyvCh2kStgAgCalsDqGnS2ASpyKPF9v/j +v4j9cLLX2Wfvtdf4X2uf/ksemPXjqiRJTvdIkmqNU+uSZIqe6XqZrHGSnmmi +t+rpW5skn2rdBtFtoi+IXtqUJEcLSTK4JklWlJNkkdav1FjQfFdjkgzS/LP6 +/oyei1p/tj5JzumZpkP/nCXJXJ15teQ5vsGfs6DbtGa2xpXFJFmluWqNQ8W3 +SmP/XLzFs6/GoZUkOSV5XhG/5TU+a432zqr32ceRtyFJ+ujZp7mfaO0IzW3U +mlG11oszb9PztujfV/mMW3RWj6JlOx8yD499UjPp1rcVegbqjJf1fY2+9aky +700aJc617+dCryOamKe5u2Wf9lbx6ikbSfbOGstdr2eE1jyg/V1pktwheqXo +P4ieqvE/OufuxP64Knp+YnvcEjZpFs/5svmb4rm2yb74rvR5Ud+uaP2CGuuA +Ttdtyz7m5mvta1rzCec12p9faH58i2zfbNsf1twhPfP1PCr+j+gpNtk/2Add +2Uc8sHdZre2LbfFHt+ZXV1kW6BmS/2l9/7fo3Zq/UWf9Rmc9Llleqvc6zkKn +K7F+crXXY8dnam2TPdo7Q/OTtHah5i+IR4tsu1n+/qO+Py+5Oqs9vhD0zjq/ +b66y/LPDv3MUi1u0f6Z4D7xB9ilZR+KIeCK21mn9zHrHFeOsoDdqX4PWz2ry +Or6h90H5cZ34LdS4WWt6l+wXzrmp5LMKooeXbPsBOndkyTlUrfkRJefSN0qW +CXlW32Be8HlS8vxQZ90q3e/TfKvseFPYDN9jQ+zaUrJtq0Jfcmp9rX0/SvSC +ks/m3FT2K+nZ0mD7YndsPjqzT8do3Kk4fkx7t2vsEL9XCpZhaL19sV/72qud +m9j5VO4Ye0fj27n9sFmxfUK8zmrNycx80AW/vaP3c5o/ldmOxA6Yg9/4Ds8r +JcfFzyrmMaXasdRPufAvrX0idR6QD2DR++L1kdb9JXP8EsfYn+9PNYXN9e1j +rR2nve+K/lDf39N4Ws950Wfg0ej97CWmkImYWgWmSaYprfYTa8gJeHMG/kIm +ZOsnGxyUrknRub9Vtv5vwRjybK1zfK/ohWW/d4p3EZzjm+aH6bw3ao1J92jN +r0T/SGte177etc7ljYFHYBGYBMYNEL2xzn5pj1zA/6MTxwL7eP+16KOBlcQJ +c9gc27cHzTfWwLuAjHpOiD6WGasWlG3LZYEDV6X763ofqe/7M+/dp3GXbPBF +wTo8EXKBw+ANuAMmEhfEenvotbrWOPxZvfVifZ5a1w/lg+fqjOd8m182XiwH +g8vGnQ7RN7c6J/Zq7vHUNWqH6L4NxmTi7Z+psbOn1q4NfuiLHm+EbMi9r8qY +fCjmD9Y4P8D3hhrjxMzAEL6xH5uTKx2BXccz8/ieZOjXYDmoLbuLjhP4HM6s +1yGNfVL78x/S9/sF12Xq87B65+GCgvVABnQj38i7sbnlWB7zYOrkyB10e7jW +dqRmos8qzXVV25f48WJqmUdlrk/UqfvEc1tqXPm0Yhxc3uhY3VhtjKYOkn/0 +F+ADuUU9w3Zgzckq1ybyHnnAHvQmT8iNA/WmyRdq+v564xt5SY3cGzWavCBG +sOGBWM/al2I99Yd3MGVn5vU7NC6W3SfIZ82S/6tNPptzkZf4XKCpmzXfq9Hf +8DvzyL+i2v0FtoL3vuB/p/iNr7M+i8qme4r/33PX1a2il5Tda/USfX/ZPViL +6KWip4kuib5QMr6+pX2V1H3MXZK5LXVczsssy/SwJ3E1I+x8NupbW+TUwfAp +OX0w4nB70XHwdNTVqWH/nUVjERhEbR8S9R2cAGfgw/dpYf9jkvkpyXyk7BqE +zbE3uAUGEw/FwDCwAv8Q4+DedR9D008xTw6+mhmv6PUGp8aIewhQvf9S8vXA +X63uR4e0uu4djl5lR9H6kP9/S51DL1SsKzpT15CX9eQ5eqIH+PXTous99X1X +nbEevMTe4AtY0KlYeLHRNjmeuw4ey52T5OaBqG+b6lyfXqYvU1x2i75dY3uD +Mey11Of8NndPie/AhEv1Xsca9oGz7MWWXZFf5A5ykD+8k3fYtqvB3/A7+zlr +QOALOPOt1HqhEzHAHvom7I/twR/sj07gPtiB7akf4PA+jXdpzWXRp3PXnjO5 +eWwNPpyJ/PRAl0o+59bM8UuNoYaA17hzT2a/d0cv/Vy9aw+15k7xHSv+4zWO +TH32X6XH7alt+kHZuHsoMHlQ7lgdqHFCxbl7L7lVdt3YFj3AR//X77IeG+Jn +7NIZtRD7IAM9P/cO6jd9PLFzW2ocxVbgDP11V9h8S8V4CC4uiNxEjpWiP2gw +psIPf+PrGRWP7Vo/VM/T4lVdsdzs+7bmptcZE4iPwxX3eocqfocPGEtegkfk +5ltlxzV1bGnuOrEsd958HjUV/JxY55ynhowr2A/kNLhEPlyTvWA8oU4Qy9zf +wCzWjE5dZ6h51BQwDqy7IzVWgpnkHj1uMfqiByteS+2dmPvcCbljZ0iT8WCw +1lyWnIM0jsvtl/fKjo3LER/IDW6DV8TiooLrIDiIDsT6woLlx467ypYFPCCH +yQ3ygrpzZ2A1NQCeo1LXU/ZT5/aU3TPQO7wRdRwMxUbIAW6AYf2iduML4hZ/ +wBebYL/aVsdejcZHc8fEY7nvI6cbHTfE3ifhx59XjEdXtOYHuXW8X+OI1D0w +vTC5yDw24DxGahCx2S/ik54MGb+ZOi/Bl3Vxj4Cmj2L8LOi10ReDN2vzL+N0 +ueglOqtD4yS9vytekyuu6ZPjvwHxS0+5Pu7ZrKcXgP/nce4vKsY98I8YnBBx +ODCwHYxn78boHzoDa8nTM71kx2bj707de+5u9n2YO1NNs/GRunNvneWnjpI7 +Y1Pzmx55RGxTc4mXHeIzq9n1n/pcFf8fwD96UHCP2sz6MeIzWuvnNDte6W2m +xv8T+HIW+fKV6N17Z64n3fGPAv9sCB/dmBnbWzPjXyF6abBlTdx9vtZkbAFj +jkSdPV523u2O/hBMoUcDf87H/xNqP/8FuEsfqbgWkivg15Lcsb04d09H30Cc +z262LbAD8iALmEz/dSD6MfKJPhMdHyrbzg9Gf02Mz428Gxa9KDWW2gwegXvd +8f/kd7nv2Jtynw9PZGAcFjTxcinwaluT/Y2vv6576qstxpeLFefOhYoxZ3fc +reZJlzEtth/4BrZhT/ol7h5gAj0CvQK5QT9D3wNubNe+cS3+1zJXfP7U4h6Q +uOgRtqX+YKM18e+G+nO0bH3xEe/IhS+oHSvj3xE0vt8Q8jDXHfP0j/Tf5D4+ +uDn60eGZMYe71OLw3cSKMRFsfL/sGAMrwIWT0bu3xX0c+5HX5BY0PeWx6FtO +5PYBvnioYkxi78noKajrxMEtqes49Zy8J4/Ip2v/bBrt34fjXgiu7s38Pjtz +b9zW8KV+0PRp1MOPI36p4X1ifnX08vQHVZljlPsHPe3WwARiCNtBX4gY6N/q +PFsXdlgY/2EGxP9C6gc1fUbmM76T+X8icflIbkwfFdhL3nfEPxb+09Q1u47R +2+6P/nZ78IHf5orj8fmKc/Bc/B8Du/HL+optgU3mZI5t/LEu7tDFyP1Bqc+k +998e/1t2l937XMd47pToCEZg0xWBJ/wvoJd9K/O9l5w/mvkfAfeWtzPfgcnV +NzPnSmf8hyQWOuI/zP8A/Uzsbg== + "]], PolygonBox[CompressedData[" +1:eJwtllls1VUQxk+Xe4vthdv2/u//XgSRQgmrBsEFDDsUREQQaSmIIGWpQCK7 +wQcTBJdE5cEERIN9qMYoIELZSkR8ARNR2aEFQXHD+KAPAokkRvT3+Zl00m/O +zJkzM2fO979VDcumPVMYQmhCipHZUQivJEJ4n8UnwKuyIcxJhlCNcRl4HlKD +/hM+7dgHI8dkKwphEHhURQh16RD6pUIo6BDCSNaG49uI3MiEsDEXwkusn8b/ +dXAB8gb6QM6uxt4F/w74LkVuos+LyQHfWSUhNIDHIaPB3bDvxv4d+Txb5LUa +bD2Qc+TeB70afAX7J0n7yPdVznskOIfXwEXIZvBG4hWC57PnHXznsH8h+DJ7 +VqKPQh+r+Pi8mHDOPcFjYtu6sLaTfD5grbwshKP0YUg+hM/5f3cnr/WlJ6Px ++YV+XSkNYTK+xfSqrTyEv8n5I3xKK0OYir4EPA3/BPZ29FvYd7JWSayDrC8F +bydGC/HuTLjHI+jdAfynE+Mx9PX4DcU+i3oXc2Yh9uOcWV/mHgzKONaFcsdW +zIH4jAi+03vAeaSEWFM56xZxP2R/abHr2QYezFpR2rmXpHwnupu59GRR7J6o +N8fQ29FH0o9r8i/1jFRQT9+OIexA34ZMxzYcn3/w74P9W/rfmvQd6C4eIF49 ++e2h/ynO38fahqRz2guuZu3mbSFsReZFzlm5awYeZO9f6FNKHXMw+iF8ehBv +KGv9c74T3c0qzl8feyY0G4rZC3wi61nfxP6T4MbYtWpmNDvXiN+U9BvqRfwN +sWNpJjWbV7G/jX0t9hz2mpxneyY5jAO3EPN6gWvaA/4N/63gdfh3y7gm1daG +fhTcM/asn0Cew/5u7Le1Bf098GKkocQzolmZwBkXqa8Jn6exvYBUl3hG1oHv +w6cOvJv+luJ7P/oM9Bb0MvQhGee6F70jenf23ChwjCq9BWQpsfeS82jlknWv +ZnI/p7LOUbku4m578z6qkPYyx+ie9x3oLvTGPo2co3JVDUvA55EvwPXE/JPe +XMr6LM1sf2Kfw/57kX3awKdic8sR9NPgBbHftmZAszA88tsQxwwDT2P+atN+ +q71TrlG1vkU+sznrCmdMTZgTV6LvEIdgX83+7eBdxMAU1oifwGvxP5Iwp92O +/ijSxCx8ib4nMseJ6/TGOqMXVvoN6+12QL7P+C2/TND9Wb+Nx9POTW9kOXv2 +E28c9qdkzxiLo8XVrdhPJDxzmr25rI0F/8ja+cgcL64/g/5ZZI4WV4ujitAv +xH676ql6K65qSpubxFm1+DQX+oyD4JbItd3FGRM5qy7y7Db/73sZuSpf9FXg +KZHfgnqi3nyD/Izeir4S3BY5V9WoWqcjzyf8Zu8g1wuRv0UHsK8Qd7E2nrMn +IPM5/0zkuxNnnAafQrYkPNMnwddyvjvN4HXwftb4+++MA4DJke9SazGx+zGj +rZoRermaxXPID9j3cf4y8NfIZvRa/L9S75E3E35TxyP7yHcM+c0hv2EZY92J +7kY1qBbV0IDelXM6V/j+NQdJzr630rPxMTl3AR9ibVPKc6lvxx9pc6m+IeLa +TCd/K8S5h6mxa5l9NcvaO7PS3K0Yq9F3c96AlOd6EvWOqTD+NTYHiAtUU33W +HCwuVk9nZc3lIyrM3eJ0cYi4RD2pw94pby7QNygNnpH2bwb9Vuiv7yN4V8pY +OeTR13R0vsq7T97c0UvzmbcIX8WWyPvOdfeaoYv0shF9UtKcNz7nmdJsPcTa +gqx/0+i3zZPoK8DLs8Z6s3q7K3LmUnHy8pw5R9yj3wwDsI/MONZEZGHWIqwZ +vxR5xjXrD7O2CNvhyG9NnC5u17e9JO271De+OO9adNd6+wFpTnrGzrL3SGTu +1zdG35pRGcdWjar1bGyuEwefAf8LyhRJ1Q== + "]], + PolygonBox[{{5558, 1670, 4625, 4023, 6186}, {6060, 3633, + 3425, 2844, 6078}}]}]}, + {RGBColor[0.4543818125, 0.48277035000000007`, 0.495164225], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmnu0lNV5xr8z58ycOXMOKMw3czBpTTVylWvEJMpVE2Pzh+myabpsNBeD +UYxUNFltEhtlFRRDtLWJVgoYk5KutDURTVOQOyR2mT/aVVer4DUBEZDKTRDk +Dn1+PE9W/vjOfmfP/vblvTzv8+45F3xp9h/fXimKYp/+dKr953OK4rzBRfEH +VX3Qs079C/R8R88Xu4vimLrH9RTF5yRfI/nGbvfPlHxzuyj+QpM83SyKjlZR +nGIOtcvrRbGi7u+qaifoOaCvDuv5tua9ufCYGzTPrsLffyhjznQVxdqKx73Q +5Tlfl7xV339d8iaNOVJ4j7eo7VDf+uy3InmD2gf0DOt2e2vh/fI9e57Q4zN8 +XXu7alBRfFbnH9un/UgeLnlPr887tsf7+4DONlfzXlcWxWh9Pq09vaG5Dlbc +vqs5R2hv39L4+1hX8l9JHqp2ntp79bxT+Pu79fxcY+7q8Zhlkjd1+TPyDr3z +TclzJf9Pl+UfVzwXY+6V/KlOz7lF8kTt7RHtbab2Nl9jHlX/icLtQj19mmOY +xizQmM9rTKVf4zWuU+0Y9T+k/hnqHyL5LsnXlj7P/Zr7y4XXZx/sZ3rmZ877 +655/fvbFGdjbE7HZPLU3aq4HNedF/dbZmornZWxRK4pfozs9fZK3qf2G9rC2 +oyjukP+8JL+6U+d8Un0N6Xx91T6xXO1/6nlc8gq1z+tZWrGv4U8rNVdVdvzi +ALmh7Phnsue/6/MY2ffp2Bj7LtEeFuvp7fK5/6vLc/5fxS0+dpvO9SutPU3y +Z/XeLM11WZ/nu+4cz7lLYw/o/ZfVPqX1l7EP7WG9ztzUOj/t9zxf0fOc5urT +szH+ylj6dmj+gWp/qf6N6h8g+Rfx417JGxKTm7vsQ/jPM+p7oWrfuF57+ZX2 +NE77Oa9lfQ5R26unU3KDuNS7qzV2vp4L9Xmw+i9o2SbEHnb5gD6fq/7z1f6e +noGS36/2UMXym2oPVzxme8Wxynw3Fd4ba/2G7/VOTfI5LcdIo+Y4OSl/OK49 +n1C7Su1rVfv8+IHSwyDrC19jzGvqX6n2pap9apv2OAcc0FrvVDw//t9uef6W +2gP6XJe8VW2zZXkwe2nZ36pq95a21x61I+uOxxGJ07l69hXeK/6KTrAlOADu +gQVjE4P4KzgFRqEXcBM8mtIoilcq3ufDddt9WmIfHYEPb4Bj+jynYkwdF5xh +7G0Zzzrjsu6O4BpY9rb2vV9yv/xql+S9ktuSr5P+TsnnFzWMbWAcmHe11hzf +Y6ybpu9e1RxbNGe3dNGhs9XVvq903BF/FX0+rTk7W36fd8H/57I/4pqYuC3+ +3NBZ7pDco3aR5lmndxervbjbPocteAf8xs+/X9qfH1e7pHRcP6b2B6Xj4oel +7bg1/nVJ8gJ++o+l42Jp6e+ZH//DHmAJeQT94oO74yf4CDad3eN99ga7ZgXH +rtSZl2rOv2TPdY/rjc4mRG896f+FdDSvz+8O1Jgf1YzFrAE+4rPbtNZC9Kk5 +/0HtRdJjqXFN2WifPh9U/361p/SckHxa7VEeycewZ6/x6fYu7+/P9fyyw3ac +1eVcxt74jF3eq9g/wPw9NWPi2xX74Nvxw7u154f1nOm1/XfHB+5V38I+n4nn +0T6vyx6Qf1h1uzDykqpjZEZhXd0TnXD+eYmdSdLnYo27XWfZXTNeg6mjid8e +v3dNp99dVTEGb9SzqMsxAQ4TF9+Q/Lzkv6547JyMbzS8Fvn05eA1WN2sOa7B +40OJSTjCuG7zg+3BLlr0NrbbMftmchDxDDdhTdYmp7yrMxzWmEOl98X+yA1v +1j2GvY3pNg7w/h6NfY5cCKZ1O2axDfp/vmF+1Zu8g39uyNmJPXzqtzZfHH0w +hpi/OnbnbJx5WIfHLMm7+Dzjry/cboi8tu4xvVlnccbvrTl/4AcHdbZDkg+o +3a7x86v2DfIouMjcYCRYSd4Bjx8KJtOS65H5nvG7witHRl6tMaPq7kPXC2IX +vh+VOeEm4D657C317QmPID88khyBLy+NP78RHgFPwS/wLXwD3jW87vHkF+S9 +se23Y1/Gjsn4NWrren6gsV1qx9btw2uqHrNfY3ZWjQ+M3x8/3h08wZfx/zmy +7z16ij772oaa8/v2luWrFRNdNb8PNr2p/vX6/ImmfRCZ/L5N/eskXwUOE1uS +OxQrO9S/UfIfNu1TyHADcHp/zWcES/bVrDtw/Z2adQ4OHawZCz+i/XbXbYOn ++s2Pnlb7Tc27Tuf4oDjXRH1fq1tfe6PTHeHn1fAEMIzYJvY414GcDQzDt/Ar +4gY8wm7oFf2C1XBwdA4Pf7zq/RwOl0eGz8O1icOlsfuKcLytVWMLPvNg6f4H +Sq/3TLjQd0pjzoL0/zhY971wju+q/bvS3OKh0mdYHj75t6Xn+RvGRg/fjy+s +iQ/gU6vik5xrXHym3m1dw7HGpx/50dLv/n1ywvj0k7/mJ8etzlx8fqR0zDxc +Oj5W57zMx7vvxL77kvOoA+alFsCP0e1Z3Oszn2okJoYlFjgP5yJ2nmw4t+HD +cFnG9iSfI4Mb7GFk4ndlfOCxxCU8flnyzwPJQSf1/Qk9m3M+7A4/ZP2h8aXt +8QNweHV8El8gti5OfFEbDUss49Mrgzn4JfunfsQX4FToB57G/HCBJYnnfalj +2DO1DPuupsYEz8G9VxJH6AaOwpnO6rViPAMHwTHqi1U117PwjjU12+3Gluee +ohia0fK+pkpeXxpLr1d7S8v+Pr1pvvZpvXsk8YKPkpMvbxqzT6sOf1Br/InG +HK14TfbAd9QXK2qui8D1G2rG8y+I93WJ/5Wy97lDVPPIloPUbm15nx/T3EcG +m1dualtP6AtbfKFl+0zWmE9KJi3+rPQ6jIF/XtJ0e0Jz7Bh8trwvntGYPZI/ +KHlduAx2ggO9UJojFHrvhOx4vMdc+OQA81Q4Kn69Nb5NzkQv5E3ODL/Ff8CA +I1Xr50hp+T21c9vOh9cIuzaV3j/neKm0LbDJK6VtgU3gG3syP1i+tOa+/0h9 +Sp06qtt8jjg6qHNN0LvPwgklHwu2f7llfJqmc71WWqbvrdLz7yxdd14zyNhK +3O8MbvR0mxvDY/E9/A6e0yFdFA3fbXSp7Wy41rk8uYk4Ae+pCcF8uCS1InXi +lLq5AbFH7Xi0Zj6ILvEvzovvkMPxH+r3vvBJePSRmjnRxH7zk0v7XVehiy2x +w8hu24J5qRmJdfj74Zp5E/z9UM11Hud7t2b+Dpd/r2YuRg6k7l1f+d29DFhR +9Pg8nOU4ONXtPMSarZrXhTcz5pNNf8+7t6Y+wj+JU3ImdwTcD6ytWdfoeXnL +PH1r076EH8HZajprtWG+83PZate55rz/Vvp+6VNqr5Pdj4YzzxzgOzL428Hw +2bM8TH079e5ujdmkttDnJyR/VesO0HpbtO5IzXNG9e2/qn+E5A6N+UmvOSP7 +Zs/EKPkDPAHP4Ahn68SWz/PxpjkCdwHwBGpT+jkj/AvcosaCQxF/1CIrS9fL +nyldtxF/85KXf1sfbG67lnuxbUyGu+Bv23tdI2GLo03zyfeXxtRngufg6Mrg +Khi1IlgJF0eH4Aj+ObWe+8PwK844Lf34M344LTK4Be6Bf9TD3OeAt8y7PHwS +XHoq+AUHh4vDDW5uOf99rbRfnambO3EvyRwf1xl/1nQ9d2vbXJ46nLyP/ZY1 +XGuRW1Ylv2xIjOGzcIDR4YST1U6q259p+XwoeWlicivtpZE/HPmsf1b8HXmM +9y9PjBM71LrYlHoXmTjiPd4/mFj7cOYZ2XbtMartOSYl7xN3k7M3dEDME+/c +2yETd+genRP79F2R/jFt10tjaduuYcarvTJjNgZnroxMHzLYAA5Nia2nN3zX +UGn4/pA7TXjY1IbvR85Qe7fMHQeo/WjdWAIPBFf6gi2TolfO9aPSa/9T6bgi +vtYJG0Y3ndfIb+Qa7jbBdGKe2O8aYhwaGCyamnOzT3CrEey6s+V8Ortl7kx+ +gvMQi9gcTgJGUss90Jm76vC3S2MfbH1F9IE+wddzg7Fg8+Dg886643Gbxvxv +y3nnhZbrOuKH2AEjiAPy4dk6r+4zw81m576FHAbGw9/gUHApchLcbW34GzmE +Ogf+cVPLPOur0uGXWuaCd5KzWuZGd5S+kyS+4BjMSc2AXYi3ZeFv5MPjg5wT +H8lZsMHU0vFFnD0mnOuRTa7t8z3Rssx5qOl7jGmlMWZ+cIa75PuTn8jP5FPO +B97Pj39+WvP9i+a9oGocZG/UDfXkS/wEX7os/gSHvCv38NSVO6PzRbmHw6Zw +lrfSfzz7YU3wh9wC5lD/fiv3hKcHGtPBc/LDqMHOEZwRfEU/O7MefJX69J7U +iqfqruvAJeIGf8Yf2C85lT1T8zGG/Iet0D1YxD04+ruy7TsYOC78lpqAuoK6 +ANzrSE6d1WuehX8wF2uTT4e2/HlYy+vQz2fw70Sw4mzdmX3SdzL9P5Huf3+w +74Jm6uwz8k7lHOc2fJZ3zmQ8+fp49Ekf+wM3sOH7BtuOYBWYdShYdCbY8lON +OX+w1yEuyLebch8IVhJ7+Czxd1PqjlPBfPZF3GwOlk4IroKdYCixeirnYsyx +/N6CD3DuImenroXD7U/OIlcRy9wLjs/96tD8nsLvKtzHL0gdOrRpDgmXBAep +BeDKkyVPanjNh+OT88JL8Xe4IjmJ3MR5abdG/nzLdp+t2Bna9h3rMLXnNz03 +fJyY+Ghi9rLI68LZLot8cdv3X6PVDm/7N60Ravub5vZwfDAa/sBnfmOZmxqc +317uSr1MnmdvjCFvb6mbM8Jp2Tf8Fl2A/9Tg4A0YCWc4rzSvgF+AyeSODcHG +J8JnLmrbhy5sG1enxzeI0ePBDbgc88/NOtuz1qzgCTkAXgA2gI0bcz8GBkwK +bpArORtcgvslbMU82A9OTj+8EX3AzdE1fdsy/rx+n31Iv/X9keiZu8qehuN1 +lPLQffLlFS3ni4nJ4/Dlejgz3AqOhY3hS8Q0MX5v7mc5CzUYtdhNbdeK8Poh +pc87L/e31BDsmz3DB/fEt7kfWpk6Dc64N3jF/UEj+5zR9m8St7S9d/q5a+Ws +zMvZyS2N5CPun1alfqZu3hfMnJ5ahj082+v7MeKdXHdtw/fmYA6/p4EhI/iN +UOsP77f+iRnseHvuwMkL+FRHaqXO8Av2Q/14OjUkOZx8yd6uapub/qbluw5+ +4z17l59c/7WWY5D6dFtiExn+QHsi8sXJpeSLamIX3+DOZFzuTRh/LPNQz7HP +OfGprtR0+BTv8+5r/dbLq/2+n6vljg5uQW6hfqO+pda5oumahHj7o9K6fDb8 +4MVw+JfbfgfcB/Phwfj966XzE3MyN9iBf71IrRxbY/PPpF7409KcgFh9uTRX +IA+9WpofgLmbS+dwOB/5/itt/+Y0s21dcO+E/vHb+/LbAb8h3BuZ2mNK9IPP +4WczolvieW4wudr4XVzXUq+93nIN8OuW55iaeS4MVsxT+4l+8x3uXT6XXE4N +UGQ82Las3/clT/b7jgafu0FtZ84GTyGPUM8dDXctshZ4fyL4fXdqRHTLbyV7 +89vN8CHGJ+5WTyYvkRPBSTCSObkH+u+G34UjgP9wOTjTrPgAORWeha0v6ff4 +D6n9WNt6QB/YH/4BP2Btfj8iZpifuZlnZmx0db/jgbjY0rKeJ8UneYeYZJ/E +JOcnP8IjiB/2RuyhBzCf94iZB3O3sihjiIXJiZOO3GPDSfgNCn1RR3NvCQaA +LdgDW4Kl8MBH838F+CPf0U/tPi14UsSG7IG+6emvpO4ANzrTT1/nENe0I4ZY +l/dEn+QH+sFV+uYEoxbmtzDwtJp3meP/ATmFDm4= + "]], PolygonBox[CompressedData[" +1:eJwtl1eQVUUQhmfD3YUNd3fvmXPvgoKBnDE9mMAE6gOlqKWCmYwCJoKxrDJV +mRNmBAVfzKnIyVT6oCWlSw5KXFRYkbxKWL+f34eu2z3d02emp/vvvicNu/2K +CcUhhFVQKdQ+F8L8qhCGV4Qwht9/YwjrMPg3E8Jh+GwaQvfyEMrKQqiFv5+1 +KuSlyFuRPy2EkFaGMKguhDPqQ7gBfQN750LPwt8DtcZ+EfabsN+BvBr/u9E3 +wV8DLYOfAz0Nfx9Uif0S7Ldgfy9yBfJi5M3Ia5GnYzuKs6+BPxR91p+5zF7u +0qUmhO21IYxH3sm5cuiL0PfBR698CDWp77IHuj3hHOj3of8R+0b2T0R+G/kx +YtGd+0xHXprxmXS2d6GvkbPID8K/AS3O+I66q77dmTPsqPQZGlnbiX4m3yvi +ezuj754gd+Asa4jf0yUhfIP9OvjL0f+Afjb0JPwkqBF+IfQK/EfYRGxPRP4c +f2sL3nsS8hfIddgE+N6cpwf3Hcx5DleH8DrvOw673nnHYitv0I7vL+Cs13Lv +FnQvcef17J/B/tG4WQdfwGYztlWctw38aOUH+vnQi4o97z4bHw+xN0BF8D1y +5j/A52TOdCV7m7D/Hfs/oG58fxfyn/BzUsf6Uagb8W7gvNPwMRj5IN89Dn2W +/QeguxOfWWevRT4Bvn1q/iA0Ef1L+FyA77+Rxyc+25U5x0dnHI9+Y8Y2U+Gf +is69ndiPxb6R7/cgXh9X+A2fic7lJvS3op8CXQU/BF+1nPc59PPQ/8Xabehe +iI7NLuRxyE9Ev+UO5DHIR/DdHfqowm/ycvTb7kY/Af2J3Gcb98shnww/gvca +RDhvIGYj4cdCU8iXW5BvhZ/J/q/YX438gGqNPb+yv4T9lfD1qd9uP3QX/ldj +8xb2I4UBynXoy4xrWrXdAq1n/xHWitibgQJ7V5DLh4ljKfKGYq+VwU/DfknG +NXqsVlN/eyX2LdgvZ+1N9MPZ0qDcTO27AX2z3iX1XZuhSZzvUijCfwU1olvJ +nmnYj2DrCvg7WFtUFML16O+EP4P8X0YcnyImu4jHMGxWZfwmz8NHbDZx3grs +8/Bpan6f9vOttshbip1jx8Mvxl81Z0t4+yXwB/BxEF/LWGtSXpNPy8mRZva8 +j80jfLMLdx+L6mH4BPti7Puy1gd5ADlyU7Vr9mP8tcPHF9RMU6VxRpgj7LkP +vj4xRggrZiJfAH9RYuw8ik2NsAbqwLceR78kGvOEfU8gd5Y935xELOazZwB8 +PTbXYb8UmzbwF7B2J/o56C+EnxuPPUl4SDGD/56z9c36/n2qfGfd/WH0JyS+ +e3GNa1sxKMV+TLXxSHdU7Qxl7cwq19DFiXuFMFhY3CZnzBHWaM8u1vZk3BPU +G8ahG8L+Q63sY2DiXiBME7ZdgvxlmWOsWCtHlCsp1Cl1janW5PMv9AMS944W +7lAbXeOq9f3o90bXtGq7GblZvYmYfF/uGK2Cz+GzFfq90B3YXobNlIxjVkic +w8rl51jrhXwhtBDbI6xlsa2rN1YI44X1Fxdcu2PYP1DYjc0p8GcTq57IXaCj +rUP4DtqGLl8wdmqta8Fr0qmnbIfvqP4hLCNeneD7Je6N85Frkc9JXDtzkbPy +rZ6Z+b/Hw5+bGAvmoa9B3z8x9i9ArkM+L/FZFyLnkD8sODe+0xtzt9F5Y5Ny +blTeNaha/In7nIZtHYHaWOwYJvDVUGmZMUpY9Tv59GmVe7VqQhgjrJnKGU9P +jCHCkjeQz0Y+P3GtjWOthPO3wkdRmTFJ2NQ6556nXqceUsLa0YwxTdimGCvW +itm3qlX8DUaehY9fhJfof2tljBfWFwruVVprA19ScKz7c4ae6Dtw38VFxoCO +8EPJ34uITWtsevP9f6Jzay3f3x/do9SrhNnvKJd0h3LnzMbUGCgs1IwxK7rn +qfcJo2cgXx1dq8KA9okxXdiuGeUt2afGRmHYXfDXRteuZizNWi1Z91j11vcU +o2js0cyh2aM78TuatU4zgWbDFbXGOs2In2HDcY/VwOfRGCosVQ94M7pGVCua +iV6P7onqjcq5I/JPjHqVe6bQbNEZuUe5c0S50hW5Z7kxW9itGUuzlnpCx9Q9 +Tr1OGLAN+W/kNcWe4fbAvwYtyjimiu310VipGuuUuCerNysnilPPCJoVlEPl +qXuwerFytCr1jKhZUT5fjX5DvaV6wkH446KxVT2pbfTbDyEHelU5By6hRj6o +MdZrtrwxGqs1I2tWVo2p1jTTjkhdY6o1zWCj9H7sva7GWCyfPfOe7dSz1Lv6 +5t1rNDNodhB2fljjWV4YuiLvXBWmrcy7h6iXKMZdkPdFY6FiqFgKs4RdepNO +ec8qA+qcy5pZhKHCUr1hN/SnFlzrmvE06wlzhD2aMYalxhRhi3r4zakxSFik +meBG4XV0rWum1Gw5IbrWNaNpVhseja3q6ertmnE1y+k/xyf46pwa+zVTarac +HN07NTNrdm5LPmfqbK99G1L3Ps1Up+GrlPfJcp+t6DP1nkE1i2ptNra/pe6l +6qFnYd8/Gns0g/WLnsHVxzSDnM55GlJjif4z6b9T13r7PoYR8P8Bhx7bjw== + + "]]}]}, + {RGBColor[0.520089995, 0.54506703, 0.5512831924999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNnHe8VNX19mcu1blzz5w5d+4dS2JXwBopapJfEo0xNmyAXWlWQEHpYgMV +6QiCCtIELGBvsWGv2LsoTbCA3cSOjff58iw+vn9s9rr77LPPrms961l72KZn +v059a3K53NjmuVwT5Wk+l5uifKRSreQRyi9XKkq+WPkkpbzks5Sfp5RIvlT5 +FUrrlc5UGqa0icqHK5+o1ERyX+XnK3VTOkLpSKV5OX9rqtL+qtNC6WzJzZT3 +U36B0oxiLjdXf/9DaVB9Lvd/yrdpUD3Je0nOJA+t5HLXNcvlrlF+rtL1kmcq +P0/pRsnXKh+mdIPk2cq7x/c7KZXyHiv9qJN8ifLJSueo/b31d4PaH628ndIn +Ku+v8j9L3lTlAyX/VfKWkgdI/ovkLSTfp3yZ6i5VGq6/T9PcXqT8h6aW2yj/ +WqmX5F2Uf6N0puTdlb+jdwpKmypV9M8JGn+D8tb6ezOlzSOnTi3r1uB3xyjf +T3+3V+qg9KT60Frpbcmfqd3jVWfbpn6f99Rsrk20t0Ws+2WxFu+oXn/V76D8 +W6V+ktsqP191dlZaoTrf6++TVd66qd+nvTqlVtF3+jhYfequOoOUf9fUcivl +K6POjuytBrc/UfnUBn93ivKRDZ6fS5Wf1+BvDVOe6cXj9bF65R/GeP/J3tK6 +LtD6zlM+RGm+5GnKt1Z/X9TzR5Tu0/uj1M79fFOT0EfPjlJ6OOc6LyjdqUOw +g979kw7FaE3yK3reRWmg5EuU7xZ7kz3UI+f9St5TaVFVc6F2H1K+e97921ep +XmPeXm0eqjYfUvs7Sf4LcnzzeaWy6myr8kNqPDfMUTXn/fBurHemOtupTkfV +mah2dpH8kr7zgJ4tVnqW86nyXVX+tsoXRdvPMXY1tpn6dr/yB6OMd+6P955R +elDvbMV+jvPaLcb5H72zqd69V/mdSo2S71LeT3t+T9UtaT77Sm4v+UrN+VmS +26JHJM8O/YHemBX6gL9nKk2IvyejeJq4z3NDl3Aej1M7XfWt1/Wta+Nc8my2 +1r/K2VeaE23z7AJ9b6HGfp3yk/VuT737tt7tIvlEya9K7iV5J703TnV6S95F +8gTJfeq9tpdLPkNyK8ljJN+td6p6956qdV7XmJcvQkbfnan6f1L9yarfVXJ3 +1X+z6n2BjumsNE7POyh9HnuFsi6xtqzxJkprNY9PaH8erDbWoNdUdlC9z9Se +ca7HN2qcLdSe8n2aWb5Pc7en9kZFebsa64q94p1FKtteaW+VH6nvb640X+X3 +qKyq1F7lR6ivq7XBjlR+R85rgG5eojYPbOE9dZ7e+0bfawy9sXd84x8qG9bC +7XXWw46SOykfpLmYq2eDlX9Z8Xwyr99UPP+sw67KV6uNdkoD9P3hea/HHWpr +iNrZTvmYRrc/Wnkn9e991etcte7oEOcf/bPT/6fPyFvH3l6odFPOe/5mpVvo +u95/Xe38Wfkn9E/93FHzvZ1SSz3/XGUn6tla1TlJeaLyZlqXN5Rfw35vbr0/ +S6nc3DaJNdhcqUON9QV651G1tUOsI+v5bPSJ83q1ntc1t83gvN0fZ/AsfXu6 ++tNX+bH69kfqw3HKb8/5DMyN92+K8SyKMd2q9BfVe0P1/6r8aKUPJR9T9XPO +3ux4Z2b8TRsz4u/bcj5LfKM786J3e1Td7ux41l9/f63yAcoHKn0jeZDy2mbe +twdqv5yufk/R32cob63nn0nurXfz9c7XVLzmO8bandlg29RH+etK56ispt7r +ybr+IdaZ+hvPQatY3yOww+gcnuvb6zX33+W9N9vEntgr6vL3ELX7d95RnwdL +/pvktpIvynsvrlKdf8c7tLF/fI+//xX92DPO7f5Rt3M84++L89b7H8S53y+e +fZoz5kFfDNb3vtW8DKkag/wz6q0NmXoj1cYeSmtytuHoB2zBOXpvWN5nCXuA +jcVWtGiwvkXv/ljxGUK3jVK+XvN/mOqMlVyjeT5RcrHBuhqdfaHy71Vn+2iv +dczvxxXPD/P0dN77H11/r9J/m/mcrNQ/K1r6/GxW9d9V5a2VlktuVD4RXNfc +WG2qUm1z46elsb5ghtrc77jm14r1MPp4hPJ1arttjLNV7AMwCPZxB/akJuKC +vHXKZKVNmhu3YQPRRdiWmgbrZ/R0Mb7L9y5V2S+qt0/O9h8c8Ejud7vLN+/W +O+eqjaUqHJ+3TmPu/lrvuVyf2YbNinPE+nWLte6rvt2St61irbvHs54a40S1 +c7LyI8Csko8Es1SsS8C5cyvWMWBM9lKPeH9CfIdz2146sb3G2KHR+By7Cl7n +TKC/wXIj1Yfb8j4rM+LMoxOxo3PjvD+mteqk9Dr9DJm1X9bSf/8tbC3tgRGP +Ud9GqM/HVoyfaQsf4HD14yD154hG+wXYZPD0Sao3WvW7VnxeesZ4wNScjZOY +v4r3Bfiac3BkzCW4aZ7aXKI1mFHx2oLNl+obz6v8XeXT8sb5g5mXvHHgEM5T +/e+6h/PEGTucseftIwyU/KjG90hL44Yr8/YRBsUc3xzztV+c5yPjPHeOv/eM +c0/ZQvVjjvqzQPlgzfmYvM9kh3i+EZvvF+ccrDdT9d9qYkzHu283cXtd4htz +KrYP+Ba3NHoebm60Pvp3fHuQvnVZ3vt7Qt64t3/sx1tiDJNjndHhI3TYrlK9 +rkqXSJ6uvBtYNdE5L2kPqb2LVD5FZScpHZdqPHo2TGUXKE1S2YlKIyXPVN5d +6Xml57CFSqNUPkd5j7z9OXw48PIz2Dj0ltKxanOA2hyqusdIPlvyYMlHSz5L +8kDJXSSfLvlsyYN1xs7IjEGGKu+VWW/dpDqrVec09rvyb8paQ9X/rw75t5K3 +YJ1V/p3kq1X+msqP1ztfsQf095oav3uCyoap3vkqO0pyb8n9JZ/Lu4n13yT9 +vZPqnyp5ouQ2kk+RPF5ya8kn573m2G7WfRsBukT76ln2q+RinC98avTF8Jz9 +TbArfjVnd3as2xTVPyrenRTrxrMO6n/7otvljHaOs/lEretj256Nd7u0NIae +F+e8MW+fHP2xUG1cW7RPja+NXw7eH6t25uvvntixGvsW9Xn77/j64F98f/x7 +cO+u9dadP2beg9h99mFbtf1kwWPuFDqEsf+p6LJapfb1tku/ZPar0Ifo/TZh +G7ALl+ft1w+QPKRg/Yvuxec8RuUtauxPHi05V2P/tovkx/LWcWCq+9BZeveO +vPEvvvexqpPU+HyAn8CGt4fuxwb8IW8ZLPygzuS+zYyf0QUPRLtgnU7NjDfO +0bydqfzovG0Stgk7dWPRfsKZYQ++CF13nuqfw75T2k7tFNTOWrX/Y1NjqXWS +B+jZgUpfq35/5QfkvW9vaLTeuL7RmI3+4keu07tFvfuT3h1a8J7FXv+k8jqV +/1xjLPdQjPnmGDfjgYM4rpn38cOhD8Gs6ETk2WrnDMl/b2b/eF7e9ahzl9Zx +qMpurbruo1HOOj8W6469ZU3Bcnc3sc+A30HZsijvFPVpq1WN+YslMV+fxvzd +28Q+Dxh7bVP3if7gN2BfwD1b1RvLfJGZTzm+mc/qjvXGEd9k9oHuiLMBdsCW +gR82rbd/syYz93FiM/tTh4OBhCs+gT/Q3N6lup3yxmLYbvAY/MgJzawjOKu3 +hv4dorXuhx7N2/asDbuGLYAfwPcZonZ7qP2hygepfl90ZN4Yalmc8bmxH9mn +izcx1uK8I3PmwWHn6/1T1M4FDT5zvHtt2HHaAouD1ajLGl4b7W3E/rdFv6+u +eO/g33OesLNVje89Tc5Lklc2BvfQwvsXv5a93SfW6azY891Cr/D3+3rnNdVf +3eh5RcZnvRLuTH2+Svn0inEi3B744Ozc71xLv2iL+Vod87djyJy5SXCCamey +8n3z5iLRUwMlH6T0reTrNLdTtX5v6u9eOpuLlR+W93x0iTlZUPS55f2bpPt/ +rDMPdK7ePVvPj1e6SH+/nPd3joj9ydoOKxiDglHOLRj7Mp5/xrrvi35X26OV +/k/75MKCfUgw31nq9wnqf1/lI5ROl3yx8nFKZ0ker/wypd6SRzW4LfYPbV9Q +sF8KXhysdIjSj+wr5R3RAZKHKj9U6Rf0T8FYHLx1fsG+KDhjkNLBSt+ju2QH +Vya2d+x1dOKdOfNGD4YOwaaig3vFsz/EuXok5Edjz24ez/9aY95rO+xkrXVw +b8md8/aB8X95Z+vQv9vmLb+Us03DLrJO0zV/02L9eE498Dt6E72MTsauYF+a +NfjMc/Z/rthW7SM512Adga74vmKfBt+Gs8yav5x53eEI8cHwCS5T2yOV9tB3 +SqrziurcGn2HN8PW4DdQHz6n0tTvUH9kyOgr7MeWUf/SaBO+EXsNDzs19ju2 +mT2fVYxtD6j3PIAtwAb/CvsNxkoqxn371RtfgDPAFOx9fIMRud95fDBFEu3g +22BnqD88Zz/60/Cl8Z3gjuHmxoafgr+yPvjHDfigYqx9ILg9b3wAVihVbLf/ +VW//AD+B8Y3QnN4oeb9IYIuN+AMZXQEmLjUxF1quGI//W+2s1X58Rhh1UsFY +udzEXOhw/X193t9PK8b1+6t+04rtxGH11uno9v9V7BtODr6RvX9Uwd/gDB1d +8FxzLo8peGyclS4Ft8u5PxZ9kPM3jytYzzCm4wseO1wCnAJ66aoaYwf2+c1K +Jxa8XvDOfWJftQ4Zrh4b3qNgPrhZrDHzcwxzk7f+w573LJgP3q1quSN8WtXv +HlJvHgI7AheB74MNgk94K2+/tBo2hjrokitqbFd7ha3qF/ZqtObpV6W/69nY +gnE3Z+byGtvwM/LGyox3lcoXKj+h4D5/qvV6Vus1uWA9iw+5McaADG+zhcaw +tKnb+0L1F6v+FWC9GvOOrBE+Nr52ocHcJfoE272l3lve1H0Hb4CzwZZPF8xd +0gZ2i3jGBMlPqe2X1Naler4NcYimXh/6sWmcuyaxL1lHcNlTBWOzBVHOuKbU +GmOenvfZvTTO+OOqOyXqg7XB3Bfl3Ffap+/XF70GzD++Si7mMNtYljOHx7lj +j8J1gC1XhD5ZGzoEnw4fm7MFlsQGY3/T4CrhLK8jdqb0Wt48B3wH+Hyb8BE4 ++5n02Fuak7vzXqs3M6/X1OAh4SPZC3vEflip+ksy7yHW6u3M6/WHBvOZmyv/ +NDhVuNWtGsyX/pH+5G0zOS/5OK/IN4TMnOOXUIfzNUryC5L3UXpQe3tzzdcD +VeNuZHQVvj4+P7YPrgvOC/9r2wZzs1srb1MwBgL/gGnBs9hceC/2M7hxbZyT +DWchOEy4THziVzP7xazDznGuU83Dayq/PW+8v3OcZfTT65l1FLigXczbVcGH +w4vDo+PLgjknBjcCR3Kl3l2ZGV/C1cHZ4e+AO2gHLLwg/DbWuqw+vKH6d7J3 +9e7yzH7OpOCX4Jl+UJ0VmXHrFarzTmZOanXoKcYCxwbXtlvog93zv+OL3UPn +fKd23s3MJ6GHdo3y71W+LLOPNUXtL83MN4EHO0SfwSDofzgi9gg6F317Q3Au +4BA4f/h+7CBcD3HHTPm/8+YRLswZL34XcQ6wIeXYyUsK1q3UhYcnzgoXv77i +fd9Ee+DVvOOy+Jdta3xm+RZxC2KZxELAR9hf4sH4Q/hj+ETEUH5u6jgK+Ai/ +fWMsHJmzCObiPMJ34WNz/ieGLSPWiz3Dh9skdAL2i7gvNgy/AT8N36Fpg/dx +S+UXF6xPsQHMCfNBDBGfBn8Pv+anitfvNzBM7K1vlX9X8f5ep3yzBvOu1Qbz +NTNjLRgvXA2YsL7BPG25wXaPM4Xt+yyw0VcV80TTY4zwTPBN+Ak9oh3mbY+Y +24a854T6YFF0APYV2wpXB2cH5sRnfDh8zI7Rt58C7+HX4ONgk6fFu5s0+GzU +NZjDg8sDbzc2mPutNJgzgDsAe+MnLQ7/aJ+Kfdh9K9YNs2KMH1WsG1pV/c3F +8d0V0QcwJ3FafGf87aNDJ3N2wPudC8Y63fT+x5K7Vq1ziH/gf5G3iVgIdu7u +iLthMzdyBnBtcG4jct4ru8Teu71qPQ0PXVvxPilWvG92jz3AnoTTA7cTgzgm +ziZxhGPjLBNz4Eyxj4jbsPfYg9xt2OibEqM8Ps4s/ORbgcEmSOeMVzqk6DsA +R4Wuw2YQ6wKzo1/bxHg3qXh/Fip+j/HDw8Jzvh2YbUne8WawP/F84n3ogK4x +Fs5Xi4rPYMuK48DY+i2D7wE3YDuJt6MT0A3guCtDt4wMO8kZhyviPXwVzjf7 +/rLAxsw5viG8JjgYDAxuAHccnve5Af+B/Yghg1X4NmvOHhsQWPvAWDtwBtwB +vAHntW2ca3D3QTEuxndwyHCiB4ROeCB02IWh25AvCHn/KMd33jPaB/PAsw2N +Owt3xHhvCp1xQeihA2Jcc4qOnYPFOjczlgBT/FLjOwrolq3Dbv6p0TgLzgzf +bUr0nzH+MWz6bqozoNb2gD13e9SfH7j3wYg7wxdPij6gQ7kDgR+Ij9gp9s+B +UQe+ayPPCIeATWjXwlwt5w9+Ap4C/xDuAv+SOw6L4nxypwFOCx9110brDPyn +nRu9L/An2jR6PfEVWjV6DfFXHo62aRfOb1H0v12j+9BW+Q6N9rPwt3ZvtP7A +B+KeDjaCd+BMwJ1gxM0DF+3SaC6ia6w7/N5JMZ9bxznCz6UNdAhzxL0nOEJs +PRzgiTGH+OndQg+vi5gn/POdMZ+sF3wf/gFnDU6ge+j8IaGv0dVwAj3jLBBX +xw5uuBcQ9mKnRuvUybHPwdn3RowbPgxczTjxja6IMwK3d0/oNzDvEbEfiGNj +l7HPt0Y5WLccdmfHRutuvte60XFm7OZbwfndF98Fd7DfVuXMVR8W/efOBXge +XH9xrecIfcg5GxRzdWGt5/3rOPsDYy3g/Zlf+NXhtS5HJ3Bu+secf9Vovr1D +1TwBsVi4AnAcMcidQgcMiDUFh4GjWQvW8JxYR3wDfAR4dXhH+Ef8qXer5vHL +m9rneDz8CGzikFivy2ot/xR4Y3Cs6aW1lrGzcFtwXOgu4ivod+6tgR/PDrlD +9Ie7KMdH+UlRh/rYArA/8Qz8LmJwSwJ7jCsYK8KnwDXjp2Ij2G8dIz6CDkQ/ +4R8RNxoX3zpKY/xA73epWpcjs5/gyToVfK5YwzUF6w5w8fD4FrYH/Dw+6oI9 +qL+oYH8PnX1C1e8eX/UYx8W4wPLEJ+CDJhTsIyBPLBhjM0biT9hLfGQwL3YU +G0osChk/GkxNrGKfnO3AqoJtOfrz0IglHV51+WHEiwv2uaiPb0H7++Ycf2Cf +wn8Rv32i4DbwIbCv2Na99M9rKt+z6nMNfudsc1YmxtjRt+BudC5rcUjEpIjF +4eOOUp32VdsHeHrWkzEzXrjrMQVzIthxuC50EGcTjM/5BLN3jL0Hvjs0ZPyv +HYNnA/MeEvsQzN0mxgVntG3owOlRhzMIXj445JnRPu+Cv1uHjeaeGhwU32Dd +WDPWC84ZvhneCR+gVWCAF1vYV+cZ68O8M+fsHfYr+4dzBn/BWQNLwnuCP8G5 +8Kf4j2BQOFl8Q/QZfC7YEn8Gfw49hm+Gv4vNgg9jHplD5vK8kPFz4Yj3jTkb +GjqKc7ko9uroWpeDvYlxsu74+PjC8Fn4w+ALeGRwLDYdfwC7Dk7A5wEfME/s +E/g4OAr4NXgK9jUxM/xH9jsxafxi9iMxY3gA/ED8WvQwuAleGF+Ms0UMCWzP +WefuI74hvjL3tPCXT0w1b4l16vi4D8C9gC91Tr8uaw1VZ7HkN8rW1Qcp7yH/ +sF3Rtv/vwQODjYitNpfcS+29XnY8Df4APp5Y0pbB8bA32NfwJ+ztx9TeBZnX +e0yt7eWvOWNiYrRN846HgP9ahy28vNY6ap381u+L5hY4u5NrfX4515xpcPq0 +WtucP+Zt6zoEj8RepS/El8G5nL0NvlhT60HGNLboGAM2ijsRcI7wWdjb+bEf +NlUfKom53Cs1jpMy79mrVPZZ2WPAF8APqFH5ZD0/IfOee051JqXGE1Mkf1J2 +LHpWrfF2K6X39f2Py353Chxa5nMwXPUvT23rOJ/wWRXlH6r+p2XPG7gbbMG3 +weng9adzjtEVI04HN/NG3nOIP8Ic8C78BGuBvXtPbZ5S8rpsE3xbEvE94nzw +5MQ60InojrXhi+GToU+SmH/mm3gDcw62uKrWvBm2HXsPHvpM8zkn87nd4KfW +2iaCt7n3AB4Yo75cmxnTfKmxfqL+tZT8ud6dm/kMoNfG1RpTcf98ZtH9f1f5 ++2W3OVrtzM6siz/Vu7Myn1Xm+4Oi55y5Y02QN9jqWuOwz1VnbdF7nvn+qOh5 +G6c2r8vMj4yVPC+z7/GF2p+fWWddrLVbXfZ4doFrUb0+RcfQ8A3Yo1+Ez47v +zr1OMBl7+uvgB+AJuBsIrsL+okPhIjmzZ6r9N8vG9R+o7eeV/lzjOpcHVzlD +ZXl9+4ii7fzUWtt67gxyt/mh4Co4B4wR7M59C+YZ3c3dglzecZzdanxvhPVs +H2dqg89Za1tG23yDvsErwN3ALeDH7xDxX2Ldu9b47uBl4dPcGXiRMwynfVLq +fc+epw38JPrzPHxs2fZ9tJ5/VPbdlnGS15Z9n6W95v+bkvs6Q+PuntmWcna/ +Lfn8DpX8c9mx/XlFc5fwrsQHsAfwnOyjGVH+UYO5S+6to+uvjzp761vflRwf +vF/tnVzynQ/uouKTgIsG6VtLy45Jvqpny8rGVw0q/77kmPslkq9IfTZGqeyq +krHTG6q/vGwMPEZ1pqXGla9Lnp7aN2Bf94i9zTngPLBe3J3H9hNj277BXCp3 +rolJwpfBWbRNcKxsj4nHwm3hAxPfxm/HZp+kvtxX9n0QYpvwWXAZl+qb/TLb +vcV6vk1i/xaOAB1EzOzOoueFOYHnZu1Z96dV97k6Y0N40GeDC22n8nzqeEDP +Ov+NfLDkn0rGjqfXud/0+cMG81P8duT94Jj4TckHDeYr+R0J+rtX+NHosafy +vqvQO3T+bznvld4hH6D+dtW39tDfLyu9WzYOnxpYAKz+hL4/OjUef0byhNT+ +4QLJP5QdL+Ue1qjUmBrdcHLoh12Vrytb53OPaUxqn2aJvrWqbL33nr7fJLHf +8YPKfyzbL3lT5X+osx4fq/eeSuxnfq0635ete6eo/KXEOpZ+PZu4b9if5xPb +oB+Cb4R3XKF315SNbW5S31aWfEcM3XZK6Df22huJ99tVkl9NrBsvUv5e2XfQ +TuF+V9F7rwa9V7LNAXeMT409rlZ7XeMOUX+Vv1P2nYtpqvuL5EP1/nQ97xZ3 +lH7TWA9MrHOwfRPCT+mnsrfLvn/B/sBWszYv6v0lZfsFy9TmcyXrmicTzxdz +db7kFWXfj9tC7a9SnRexf3r+Z/39N9XfvM5joP+/BGcLd5tvMEcNVz1X9d9J +bHeaBw8MH4y96hk2qzb4T3jQfOJ1ZU3fUj9Xlu23Lo/zgr3+WN+dmRkLrpV8 +TWYsODPuIGDXKir/OTGu3Ezywszr9WTJ64f8vp6/Uef4JdzY32Lf/kRcoOT9 +P011vq4zBr1S8v/qjGV/kfxi6t/S3Kf888TxUGKe/A6HuOerqntvZn0JFjs0 +bAe/O8H/hJ+qVZ3/ZNanV6iN/9YZZ2MrDgmMxG814BnhPsB6HQOT8JsVOE38 +1Vf03t2Z47j1kr9N7NMzf28XYw4lv1m0nmypOmMz+w0zuGdYZyyOPltdaz7w +t6rlX6s+c+8Ufe64RPy+ytervEbyB5Lzyt8D69Y5VjoLO1JnTF9V/ljq+5I8 +fzBzHe4hPp5a3zWq/JHUeoc5uCfzPIC1ny0ab2MTXinaLsA3zKv1nuT+4+tF +cx3YveeKtn2vSX66aB+E/f5C0XseXfVS0foK7LO0aPzzoeTlRXMR7PGXUu+J +e5R/ktjmXpc4PoSPmkscfwW/z00cT8LPJIb2fMTR2lXNscC18Nsd4s7En29M +HMfCBybe9ULEvGYnjkcSi+QuxnNxH2OivvNIZpt6p/qzJjFuIba2OOJrxMGe +jljYZNV/KnMMCe4HjIBOm6TyJzLHYNjXj2be26z/45n3wOWq81jm+D9r+GTm +dQQHjQ6e82WN63j2dL1jrS9GvBW/n3L2NjwTOht9AoeEbkPH/qq+v5za54Ef +RcewJ4kdEHffGIvAZ2LtiurDfZn9yNck35/5XgL+JX4m3D28CDYEW1OnOg9k +9h3heNG77H84IfAF656ozqLMPig64KHMeoDz/XDmM06MGL3LnoFDgnsirgDn +AbdCHALeDlzJ/iTOiK5l78GvwLPAIcNLgaHYt/htnB38P+zJyqJtyvLEY2Nc +2MzHEo9lvNbihsxxJrDSs7XmY1dXLa+qep1vi7VeFpzbu7HvOoVfg465PfRM +qaXvypwbHPvTtebZV1Ytr1B+m/rwQWI7so47KqnvmnVQH59NjXd/5B6x5Pnw +ScofTDwne6nOC6nvRo1U/nDieftK5Tdm5iMmaFwLMserWNs7Yn2/VJ3rM/MX ++NxfFI2T8yo/P7Ovjy+IT0hcZlzRfin3fD9QnSsyc5cfSp6a2bc/lTvgmX1v +uEawITb64pJ9yA33JUv2RfFDn1Sfv0+sX95XO5Myc6OM9YfE4/2Jex2p786s +UZ1pmTmIS0u239hu/DwwDngDzv2aWtuIT1RnfZ1tzUfKr8rMR8CdwKHgT8NN +gdN/CU4J/I5ewgeFFwDnXFKyj41/PbJkTAAeYF/fFXubO+NfFe2D7KlvPZfa +V3hc9S/KzEPVqPzCzJwKXD2+zvYRdyFW0TL6T9k2ece12sVv2f6r9j8r2tf+ +LLGuRE++gG7LzKM3wWZm5m9Gqs4HZfuxzdGjmXmp59GdmWNQP0teWrJPhB17 +NLUtw5/G1uBzv5vYvh4XeunxWuumd6qWl1SNnS/JjJ+fUHsjMnOFTbF1mTmh +ZnXG6ODzy0r2hfCD0H+3hA58Rf19smibfq76cmdinQOW/F/R63u2yr8pen4u +knxf4rOPrr019O35Kr8nsX4DmzyfGp+gq+4MfdU0sS3HjheUT8zM4aFzOU+0 +/7LKJ2SOab8keVzmePLouNNE3WVF2zP2zIuqMyZzLHH70N+004J7oJl5MmLT +6A10wpeJMQ17dSE4IvXexf7cHDZoE707PjPXyO8O4THh65jXvjG3rO3Zsb7c +neAOKvzJ+pCJhRG/uyFieNgD7hLBg10f5cjcLZ0VPibvLYh2eId63DHijs3C +uOM6K/gN6v9H/X+kZJ70fvZSyfwpfDL3LcHM1xTtt3P3crzqzEh9DqdFeTmw +IRiRfY4PdE3UJ/7TJu5mDEvN92G3FkY/6c+C6BscEv4V/eZu1MwYF5j1hhjL +7LjfxHi4L7RvjI12iHW3jTskfRLrOPTbvHiH+rQzJ+aN/s0Jnw6foWMxfu9V +9D0q+jMjZOZqiPp/WmL8OiHq43+tSvy7FLjEayQvTI1naXt+fIu6hxR//z0Z +cu+ceQ54bXT4osT8Jtwm702Ld/mtzIjUNvWBxOeHs/NQYruCTZku+YuyedXV +cR+C/yPh1sS+H/pwDvi8bO7vstScAvb+ktR+FLb8N/xO9eEwMHHR55azQMyC +eAW8zjaa189UZ5nKv1Odc1Lzujcnxv1g/o+L5trQjWOK3qNwhjP1/KuyuaGt +1c6n3E8C46TmocAK/E7o0tR44tHENhL7yG+DhqbGNHcn1jXomeuCY2G9Xkns +W26IfSbm+OD3pseexEe/VuW3puaZHkms69Hz/AbovNQY697E+ghdhG4+K/Tz +p6xb6t80bam215Ycf+M3TBemxjSPJ9an6FJ8v1Gx9/6o+mtK9ruxJ2eGTRkd +3BHzMzf2HD7a50Xbj0qcxflxpuar/TtS82cPq70hmWMR+ENwx/hESxL7lviV +3CskLkN8htgBeoj7vGAE1hmc8Jbq9ynZtsL9rA++jjPNe/SB2Owuca9pfdG/ +yyI+0Dm1f4Jv8lvRv90iLvJaYv2L7kXHnJtZz/RLrTfRmb9qfLNS9+GM1OeH +s/NyYr2MTp4oeWZqu/5CYtuJ3URXnZdZX72ZWO+j889KPUfMz1Ll16XBK4JN +UvuOpybGLuAWeM1rSuY2D407HPihZyTGTOAl7s7sHne3rlb5DenvviZl+Jv8 +gGlY5vjJ8jpzc/ByixPbb2w391ZaxX22ySq/NjXflm7q+0f8XvnM1HuU/dlX +8g2JOc0Vie/onxp7al7sqxdL5ivZ258oH5Q5lvNxYl8IP2hUYk4ZPhk/6x9F ++1oflbwv2ZOnpu4T/QED89szcPCIxDw7HPvpqcfP2C9MzIPDgQ9JzDvAOcDx +8XswYgZzo5/oT7hZ7AB4gDHdnXpc14Z+5vwOT83L4CeMTYx3wbofJcbc4G1w +bp/AuuclHjPjPS31GrO+9Bu+sK6lcfRpgaV7pcZ5YDww7+mBe9tHjAccODAx +bwJngi6DC+eeBhzJk8FrnZMY14Jp8T9ODR+kb2LMCl5dobxZYlvKPYvWceew +G/xr4thAz9T7m73NPl2WeK92Tc3nwuX2SG13sbndU3O4YPS7Ep9/zv6ExP4D +vgO4c01w3fB8H4XOWVN0HIK9jR+FP8H9W+5IcldSTWyIBzNmxksbv0SMm/5e +mbrP8LgnlrzO2F8wPvuwW8m8J5wn8cgbo/2eJccCiQPi/9bH/SPikPjuxCKJ +cW7AgOAf1V9X8p2IneKeAXseTmRB1MEXBb9z3wl8c0u0A+8B5wE/Rqz05qhz +r75/SNl7Gt1GTAL9Nlnzs1XqfYL+O6ZsHdgr/Ca43PmBGdC9U1X/yLLvBxIT +xqcnLoxt6R32hffGxbvE7++KOtwt4e4XPAxxyP6pdT57tS5++3kl+rLs+5Hc +W2Vt+M3cuyGzRsS818YYsJ1gf36bj41gr4EZTtNYOpXdB+w0OJq7ZEujD9w9 +I95PnJsY91Zq+MdS3GdXHw4r+/dk+GjE78C6YO2BgbfBtgMC34KRzwmcDGfW +P3gz+Eh4SX4n0x0etWy9wG8f4NCJAz5VtP+A70C/6B+29aWS55p55n4IMRD6 +0RG+tmT9dGDZ68fc9Yr5Z41e0PNbEv8u4OTU42Ess1PPL3PLXDKn/BYRTPdq +2bjuijp/g/bBbH0C4z0VfaaflYifgdnqgndkj9ZGnGTdxthw3M2AK7w84mnY +Ujho7Cmc9Nap8TNjfyb2RjViztRb3ui7DrvKPmydOEay4Xe2wWvyjRcT8/Vw +9Yc1+v9v2XlT37ch1rcxjk6O78lvzrivtm3cN6W/4IRVDb7jy/+l9EzR/CD8 +0gbcGniVu97PZN43R2eOXYHPr08dwyZ+zdwPSD3/kxJzAeiId0rmmtGfc7Cf +iXmJ90vmTeBMrk4dk8Ofx5b2DnsKRhoTvsDU1H7yBh85MV8AV3BN6hgevMDy +knlV5vSW1NgX3Ms4JsSa/id1rAUOYkFqDA1+Rmd/XPJZujk1ZgWvflgyd4Of +eVfq35kTnx4V+BYbd3vq36UTW+0Y32L+VpSMF8GKxMYPLxvjDUwdR4T/Gpc6 +rgDfNy91jJ9Y8rGBI9GxrCvre6jW+Qe105j4fgl3VW6Ps3xM5vPP2Z+YOr4C +x5fLHKtAP7Kf2FcrGq1H0CfoTNYD/UW8a6s6c5H4nWC1vcMv5u4RcTbuucE1 +jY/53HD3LcpXFR3L2aBjU8ewiV+z5keU/Z3/B82QRn0= + "]], PolygonBox[CompressedData[" +1:eJwtmXecVdW1x8+dwsDMvedemFswJhKNEWPEgmBijIm+9xKNUVRAekcEUUF6 +EwSpw1CHKoiFYgWlCViRLlU6CAy9YwWkquT7y+/9cT5n/fYqu6+99trXtmhf +s11WEAQ7I0GQw/9CPAguRYNgTH4QLOGrnwmCI/wXZgfB0HQQPFkhCLaGQVCX +sinotAa/kgiCT8sGwVTwicIgaJQbBJ3KBMG4VBCkKgZBQ+x9jP4+bP0Dfmfq +mYHMQfg/JIMAs8EZ8GnogLJ7+f0EjkAXot8A/dno70H/M/RvhreZ+v8MLovO +BRpen7Kj8HbStqm0Z1hBELSkPUspuw/eMeQbIf9/4E7Yn07ZAex/hHxf5Lsg +Xw/5r7FHV4Lv4X8DXbd8ELwKfyj8FvBHU3Yb/zHwS6Dfpf9fYaM+9mdQHsfm +nfxz6X8COp+vEfaywAXQP1J/G7WHNuegvxHdCdgfiP1m6B2AXxP+YOQXIn8c +3BD8HHgUeCb17UGnAfW9ifxB+LXhN4T/LPzL2KxKfRcp+wl6JbYvM35jkZ9e +4DHSWLVFfhDyh8F1wU+AnwfvxvYMdEYg+wT2z2HjeuydQ+Y89BHk60G3Rr4f +8tfw3a1+gytB5/LVQP4KMmWgDyFfB7o5/G7gq/n+gnwM/GvoWszJQdo2n/kd +zEJIUfZn+OXgp6Er8P0JnAcuhP4n9rpg/w1sHgJX5LsLfgH8q6DrYu8w9hZg +7zT2HkC+G/JvIX8E/rV8f0W+PPLXQa9jPN+hz0PQmUf5J8jfhOwJcDNs3Q/u +iv6blB1G/gxj2Z7xmcT4XCt5ZK6GvpP53E99LbG3Fnu10R8LP58xuwivgeYc +WwvQ/RZ+24htzEJ+H7gh8m+rXaz3pZT/DToB/Tm8Qej0oKwBZcvBxeDe4Ebg +4di/mf8Q7I+Avpv2bMHWaPr/GO1phP0P0BlKWW/k9kK/hf4o9FuBl9Cme3M9 +ZnXQXQ9/LPz+8JvC3wKeBB4Mbg7OBh/ER9yK0ygEf47+37WX0H8U/UPwZyI/ +BvnW8N+j/oOUNYL/LrgF+AtwLbURfBxbAXgAeDV4JH24hf8IbI6CPgDvXeyV +YO9JyueDe4I7gOuAr8SCoBQbW6Ef4VsH7xD4Ltr3JXgF9R1GZyT2Z4JXQY9A +5gX0G4ObwV+iMvhF4C/g5YDrgTeAi2hDZf49aM9Q6P+lvx1p8jTwftbDOMqq +wX8dPB56IfzfQ/+N715wMd9N8PuBh0F3wP5h2nc37fsd5Y9lPHbzmK8fmK9W +tGcT9dehbBL8J8AbwI+DJ4AXIX8Vbb+BNXUZ+Qv4p87Y7EVZQ/gLke0N7gSu +C15Me6pQ97/yGB/kx8g/UP4SZWOhm2L/M3SGY38Q5Z9C90e/G/r1wT9hfwLt +fYh1/zBfE+Q/RmYY8v3hR7FxKcc+Sr6qMfxFWqPw+8JfQHsrYqsQmVPUPx+c +AVcAnwQvQOf6XMt8AK85+ivQr4n+CPQbgueCi8A9wUeh36d945BvA/4A/d/l +2uY89OeDrwOnwXPAJ5Cfi/wE8FPIrwGPBvcDNwHPAXcDtwc/Dl5JfccoG0V9 +72m9gE9KBzxb9dPftsz/Ke1n6DupYxO8k/SnJ3VvBjfB1jXgTdBTk/Y98pGv +Q6/B3nTtaXTep2wedZ8K3baJ6P3IeH/POF8dcZtnwT8Sei+NBX8H71nKxhdY +5gzy31J2VcRjshr7ryM/EPuzKJuN7PHQYyWd6bTh7Vz7wGnQryXt2+STX4V+ +OemzWT54MvQ32D+K/TIR+4zx8qd5PpMr4J8mJr0XdOZNgJ5D/ROprx/1v0XZ +N8g9k3Db1cYfsPc1ZcmIfcQrSfty+fAp0JOSPpvl81/S+coamZrnNaK18g54 +R7bLZkI/LB8PvYE1eg/teQg8KttlNaD3Uldz6h9CXT8xb5Oht4U+y1W2lfZ8 +gcz+wHtGPlO+8yH0a0H3Qf7D0Hups9YQ/Xsa3In+9aHsDfiloX3pSPg109bV +ntPek8+X73+W86YYf/EW/FfzvGa1dt8Eb8922dvQM/hezvMa1lqeDt6W7bI3 +oLsm7Wu0Bv8H/hHa3jrhunNow+3IHMW33IH8HdBV06Y1Z5q7Y8i3QX50gedU +Z67O3p7wi9KO8RTr9QYPU/9p8x9Yy0/S/r7Q6+l/JXzutoh9djfwL9jsFfEe +7YTtpszF7ZQVEEjNg/8r5NdG7FNfSNnWeWwOpz0Z9she5L6lTyfp2yl0k8h/ +iPxu+V30r0Q91jrDStCvjm5HbIyFHgy/DPIlEZ+5/Sm7Gf5T8AdCP8L8tqBN +RfT3Z8ZsOGVV4beHPxJ6RMr0WcqG0p6XkZ0V2pdKZ0zKde2Enw2/iPryqG9c +xD65GFwWPDFin52mP3vozz062+hPL/gB/H4R+8Se2GuJvXPYG4a972jfcfpX +NuIzbg31T5EPzvcYnIL3NGX3ZHnPbIB+BX67fM9BKXO0TusJe7uhi9OeO53p +OtvfRn5/6LNTcz6X9kwGv4j+O4rXsf8UMlWz3IYhaa8Fnek6219APov2D474 +jBgIzgWPjPgM70F/bsxxn3pB94YfgT8g4jOiLbgd9XXO9xh0QaYZsj+iU4z9 +/vBzkB8esc/vDL9yjmW6QveDnw1/aMRn9EXGazv2ptCXyoo5wB+yZoqjjtFX +86+T8F49xNBXZz5qMR/dWdPVoJdhb3TcsYjGuAT8YtyxUUfwc+B+ijHyvaZ2 +gEvijh005hvB8Zh9q2KKIupaFjoWe546j9Ce3bThUuCYfjPyiZh9vc6Uichv +Dh1LDYK/AtnalD0HXYpOG+TbhG6L9tQu7G1A5kTgGPAyeCP468Bn/jPId0a+ +a77n6FlwN51p+R6z7tieF/psUx2b0W2YcFu/w8YU5IfEfdb2QOdl8GDwsIht +fIl8feR7FrjOT+CHMa8dxXTHaE9p1L5VMeJX8MfEfXbqDHodPDTuWLgXeDu4 +Qsyxdgl4F7pNsT8A3QvYGAf9Zei7kMpGaT7iPvs7aP6hK4W+my7nO0T9X0Wt +q5h1K/LlsT8n4jO7A3hA6Lq1Z3cqhqGOF5E9h04p/HHYnCtfKP+l9iqGgp5M +2R7kmyU8V5rTj+DHYj7bFLN31Hgh/3y+fcAB2rMjatuKMUrQXRc6lladu5Ef +G3csoRhgMPyloWN7jXE7+L3A3fO9J0qxtwV7pwPH/AOQXxw6Nusu+aRjOd0x +79Z5gv7wuO/mfbDRJum7qu5k1eCvxVZdbHTVXZCylknH2rpzV4H/NPodsN8l +33t4J/Wvi1pWMWEvdBeEjr076ryE3yruu39t9tl6ZOsl3Dat2Qflf+HfQXkM +/mLsj4z77qoY4VPwiLjvzn3Bq5B7PGHbOpP7QX8S+m6uNk9DvjjuWFhjPps9 +HcduD/b3+9Az4A+LO3bWHC4Bj4r7biWft5n2rIx6r+kOsQy6FnUsh7+dsonI +D4w7FtYYbER+edQ8xYjboRsj3xf6LGVjke8fd6yrmGC81lvcsbF83mJkW4Ve +uwvkE8ErQ989+mBjJHh16FhUNrdiv1HCPM15e+z1Cb035XMngQfFfVfRnu8C +7gF/RcRr5nN0N0W9t1dS9hn4Eut1R/D/faQ/a6L2jcp57MVWacx3rzV8y5G/ +GDpXoDtVDmtiF/64Ebg29D70t0Xdd92hXqX+orjvcvKZA1I+e0+jMwT5IeBb +oZ+hbCh0Ucr0GcqKCn3n0d1nP7qPMH8vYetn6ngNezWi9vW/lDctn/8j/H1R +n+V/5cyapPsjbViH/KOU18jYltqstlfN+CzWGXCH7lrUtynPOSrlqtbS37NR +3+V1J/se/ohsx/R/Qr627rTQe7BXBvlb0s51KCdQBboJ/OPwL8OfAP8sZZ9k +u6wpvAZ8R6H3wi8H/wz8j7Jd1jDjHIVyFarjcfAPtKVdwneB39CmtfTtzdC+ +ST7ttrRzF8pp3Aq9Htkyoe++ihG+omxNnnNCyg3dlHZuRDm3P0AvYrzqVPDY +FVHXjWnnWpQTq5z2WVpXMV3gMzU75Vyccl5Z0Jfgt9B6oj8rdGdXfgmcijiG +UK7pPDIf5zvndDbp3J7uwGegb0g7l6M79O+hy6acK9KdNA96r/qU5xyfcn2K +aRTbqGxf2jkW5Vo0hwehv0s6V6c7+reyn3Is2V32obeknIvrAN4MHUs5F6c7 +exT6YtK5LeVQLiiXknZuSjmmP0KfY2yXJry+pjInj6Z9l9YdQ3cNrWGt5TOK +XTKOaRTbKCf0MbgSNmO5viMXQF/DF811Tqgc9G/4CnKdw8yDrlHo3GAtyu5P +OkZUrKgcWc2MY2bFzsrJ1st4zWntKcea5P7zW9q6M+69XF5nLvxTOc4J/QX5 +rXzNlLtSGfRdGedStea19reDW8AfAt4GvTHjvX818l9CN844l6o1rLWsO6/u +vspJLMx4z2vvn9bZmHFMrdj6LLgreG7Gd/PylJ1Afwnt3U17q2TZh7UF74nb +d+VHnItelvDYKyetnIFyBy2gb8HWQ4WmNcYaa9mU7eaUVYF/O99S6GrMWTV4 +1dOmdUfSXenfhZbVnGhuZmUcKy7T/T/jmF+x/wrWxCPKHWfcN93JdDfrkvHc +6w6nu9wX7J1vQsc2iimaZ5xLlE+QbziPLzsd9d5+iT79knSuVjmvn6G/RveD +hHnKEcpnyHdozpro7p3xWOoOrLvw+dA+W756WoF9lHyVchD1oStmnEvUHesq +6MoZ5y50R7kR+l+F3iuLwYXgmezl9XGf5WPKUVfcZaJXRSwjWeUQrmf/PJZ0 +bkw5/IrY6gN+gPqXMl7HlPtGvxlfVfp8m2KvpHOVylHfoFxy0rkx5ZgrgR8s +tK72hPZGc3QfKO/YQTHEv6Hn8K/GV50vTf8fjNkXyedor06O+yzQnv2Q9v6q +wDl15daVM1PuTGUfyXfTxkyOfeYu+XN0/1ned1fdYVvGHcOoftW5Gvq3odeH ++lSdPVcScwyiWKSm4iV0bsmyD70f/jUJ39H2YL8O/HzkX4n4zWQB66UAPD3i +N4Th4HIxx57/fWNBtyXfY2V9Jralvdcpn8wYPQO9CPko8m9E/CbQWfFf6NhP +dTydsqx8gHzBa9jaEfptpJgxqASuGPPcqo+zFQ+HjsVk8wB9bJWwbAA+Sd8K +Y45l9Ga0HxwJnQvWeGvPaGyupewf9P0E/T2IjayI32SmYWtX6LeF4eD3db8C +v5DvMTiF/OGocxl6gzgE/WTCsrJxX9K5Vb2h6C1FucmblZOJOkepNya9Na1C +/gB0JOHckPJBOrNOpLyXNeea+/HwJsad29Sd5wz0LzH7Ts1hu5TfVjTmGvtj +8C+E3mvac4NTfktRzkG5h1W6b0c9VsqRD0s596MYSLGQfKh86QHtfegNtP3d +0LlqvUFEGLNDBX5j0VvLzxnL6g1Fbyny2fLdkslC9oreTwr8hqO3nKO07yLt +vxd7WyLOQSoXKZkA+fmKh0PntjXmNRjvPchvjniNjU75rUk5EuVKxqf8lqec +i3IvL6b89qOckHJDyukqt9sA+xuo6+FC0/K58r06Q3SWLKFsJ/SOjGm9seit +ZVfGsbvePHZnvPcax+0rtAf3ZzyXesPTW57eAPUWuEKxK/R7OjsqOBegNaC9 +1pr+5Od6z3WBv6C8fYX2aEzvFVGfcS2he6f89qUchnIZ3VN+q1IOQrmI0ozr +Uk5fuf1FKb/NycfJ13VMOKZSLKUxPwc9jfo7lPOYil4bd19UFiB/Je67q9p4 +QG8Xcc+VcmT/Ac1TSoU= + "]]}]}, + {RGBColor[0.604478465, 0.62193021, 0.6187370974999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmXm0V1UVx3+88Xff4w1wf/fehytQJgcQEjMsTQtRUDEcGR6DyJSiAoo4 +MCoa8MCxEmrVCmkt0LLBMhEqYnIosxVYlmlmaqng0CpLUknq++G7We+P+87+ +nbvPueecvc93f/d+vafNvWhOValUeld/qtUe7FIqjZb8kdpLklKpW7lUGq/f +e+pLpd16/qf+QTWlUqv6V0m/f2Op9LT679Tg1/T8WPIu6f8st3xhWioNUZtL +//aSx3WLsS3qf7y2VNpZ5W/wbpzaazT/g+rvkM6cxN8+SX031XgNn1D7eF2p +9Jietcypvl/zW2N7SP8XkvtrLTdmpdIR0v2r1jBe/YXmnySdBeqbUue9XC+5 +XfJ2yRO1lyOks0Fz9pX+KM17t+Y5pWup9He9O1e/Z2vOXGNe1ZyJdJ7U2LTa +c7fFHi9jHZKnqD1G+7hB4x6Szmekv0Dyw5IXsp966y6WvEjyNMkH9O5qyevV +Hq2xMyWvk3x97v75aj/U7ysk36f2mtzy3NxzM2ed5lmr9R2v9kT1r8i9huVq +Z+ee8+rcdugetuBcsNHEaIvYS0Vtpmd1yWfTI85ngvRSye3RVkLnee1lg+Z/ +Xmt7Qc/9knupHZtYh3En1HgM+ovrvfcm9Z+f2p7ValfW2L6Z2g/rbGPse0Sh +R78HyQ5D1defd5q/S269ktp3ypbRHyG5KnzyOI0p1H+s2n519j98j/fVeo7G +jonf0d+z2vrNao/XmB6SB2bW6xHfZT979Y335T/T1T6nZ6X6+4W8pMrf3htn +dWK97wNni717qn+q2pc03381brmeXo32K/b5yXq3rKFSeG0X6HyuS8IeOp9d +Zd8H/PIc7f9MjTlb7UD5zwjJqzV2sdbdU+//prHL1F4l/Q+05hXqH6jfr6v/ +dsmDJb8huUPttXG/7lH/EP3eq/5FaqfV2cc2q79Vv19R/21q56j/gOZcInlm +nW26TDpH6fdr0rlZ7RXq/08X3/sP6nzGx9V6zeydO8c94z6en/v+bdfYY6Vz +hvpvRSf3vs7N7a+c50C1B8s+X/we++AfrWFDzpEzPCn32Q/RWY7MPeeI3Gt+ +puy1tutsv6X+xdIfJ3kdPip5qt73b7BNd+Inkneo7dtg+UiN3abffST/PPHT +W3Kt9N8KW4GrY7SXfZLb9EyMOwUOgAnof6ymc96ugQ99Y37e9wmdxxKvZ2iV +8QxcA++uzoxpV6qtatM7+dPvtN8bMuvNj/dgHz5TrXkGqN2vtd2S2XZL1R4s +jIm71T6tNfYq24cWZfaBBeE7jAWrWVfv2PsLuX1yb+az5sw/Dw6D8WXHi58V +xuDb1b9Z8jbJCyW/oXEHq+23j9Q7roCB7Xr3sOapS32/pjb6rl2q3zvUn6jt +XfZ+seOmwjZ8VP0/LmzDTZL3NDhusYa/5I5ff+LeqO9EPcsT49LpibFpq/R/ +oecunfPABuuhM1PygAZj1HD1ndXo3xfn9uML1Y4EVxrtx+gPD52TC5/FP6Qz +OvTOy+1r36z33SzJdpOl/0xh3+wd/kmsm9zgOMA3z4h1bGz0WofpeVY6lzY4 +nhBP5+pp0fNTzbVK8xwgLiTeD3sh3qLHfeb8L2uwDQbEfPCCGWrHlj3PaYnP +Z5N0Jpf9G/mWGq8fXLxV8vp6xxbuEzL4MEa635C8sNrYtbNsrD89zp15wMJb +JG+ptg2YH7xcqjm/Xm++wBzI4MndufXvyu2b4BS++pvCcfkt9Q8qHO/25T4b +4umBwFy+N5N71OB5+A3W8B58xsYD4hy4c0cHDnDv+wYOcG/AEWwEfj/ZYG6A +H3OWl1fZbsRrbDe/xj7B3E8l7oMzPJ54fu43tuHcOXNiBOtjbaPA42rj3uDC +MfpN7Wu/3u/FhtW229bwW/gHfeDluuBqxCN+vy75Q+1rpb61ucF+QbzaF3EN +v8P/wJ83o5+YRnzrF/Hu/tz22JD7jOEW2Jd99I+9PJSbGxwvvz5T74eXHWdv +aCqVPtfsM9teOP4Nls7J4l3ndzVenKbfi6X3+dy6Na3Wn9hN59/sO71fY1/Q +2PcKr5E4zfrrE/NBuOWKruZzxJhhGlfbas5C/CdmMOZezbm71fdpWJwfdj9P +3z/QYiyY3uTxjD30VFtveK3XAPeBQ66Ib3FnsS+chN/wSew/rey4cnKVzwn5 +EJ4TE8rGtScbrYfOM4nlL0jel5oXv6IzmaXvnl1rWxKPucc/0TkMSzwX+sw9 +PebpKBsH0Hsu+vFn2hmhg52w1w80/2qdydmtxj7Odm/4AHwcXg6Ow7veLpvv +EdO5V8Qv/HFWrA386AgMWRUyuP8enEZ9wyqOjVfW2r85V86UnGRNV59nH+2p +u9ayqMnYyrh5epZI91n1ndtsPK2Wzqgm30PuzJa447sSx++jysYuOBjYkgWP +JU58J7D4AbVXau8bmnw/XtKZPq5vvhi4Ak8mxnDGR8U59+suTtHkuwQOHwgs +2Z6YH/C9Mxo6/WtC2XOyfmI9a+Hc4DyMq428YH1gET6wJ7E9O7S2zU3G8e/l +xtkH1a5R/84mf4czWxN+v0bj7tXTXvaZXatnRpV9Cj/7SbXxZmhX22qsznJo +q+MiXA0OBU+otNlHviq7dW8z51obOVFtYs5akxj//tvFeVk5MV+fpbW1NRub +2iJfg9eu0nrPaXY8Jm+Aw+NL3MnWuMtPJMbHvlrbSK1rarNjKv6BLvzqa8Gt +8B9wpmesGb/o02rfgHsWwT8X6rs9W80J+H7vVq8BDAKLdsjWu1KfzcuSd6aO +UbfrnHekzuc6cvsivkmszxPnEuAbfX2jvy36wSP23RYyfW2Re/SsmE+dm1qn +R5wb59cj9PGZUxLbjryP3JLc79TEMmuCW54a8oDgedgCGyJzJvBleDMcmr6a +0Dmy4vzsvNQ4m4RNe1WcL45KO78Hd8WXWM+S4PDsF5wD4/M4B3yOb+Er3EXy +E7CO2A8HIA6Si70Z2IL93wk8IZ4/HfwTjIFPY+t5ieUpYf+3ox+MejNiAH3M +A/b+KvHvx6IO8MuyOfPrkW8TB/Eb8nZiKzk295A7CJ/dVe5cLzL8GR69M2Ry +sl8G14drgiXflm88kjoebszNo9kLHH59YCX3fWvqWPqcfGxz6rP8c2H+CsZ8 +N/fdwkbYsH/4GXEN29RGP7nVWRFbac8MeXjI++Me9QvMp+U+/abkms2IOH/w +qlesEx6KDP8GP3sHH+D7zDsuajjDY364eb+Yk/wN378odw5JLtlVfjRSzx16 +Pzo13p8TmE9thbN8Pg/OG3GQvJT8tKHifBKe1aXN76eEDrUe7PlR4VwXf/lf +4fyWXKVcMUYz5hDfa/Q3GMvZnBV40SviAvvdljpXeAnuUbFdsE9NYF0a97E9 +fJv6WF3YhTsL/2gNDKP/MCcpx10+fLcPv6+PsdNTn19T1NCYH5+EE8F34EXk +jtxzajLEsktjzcTVsRFbeT8pdBgzPvp7RvxDn3uMHneZWDQh9sIc40Kf2EE/ +mAMfnxxxk7PCP3oevk9xp8ijqbvB+8mjqQGRGxBHV8S5zY38EcyhrgfP4v4S +P1d1cwzd1eR4Rix7tMkxj3i3NXd++PPc9QfyDWpL2/R7EzWE3PsBG7i/5KW3 +RgwFI08NzGQPUyPmFs2OT8SmTfrW2m7OscAqeDx4Bc86OvgMePJUYBA1qyz2 +ABccHbxxZdTmLpYf/jO3LS6U/G5ue42TPKveOAPe/KVwLM7anEOCp6eqb3Xu +/Khd8r9y88PJhXOP5cFtXgx+kraZB8AHbixcR52dmK/NrjfmgD0bgrdfJ51l +9d4n2PxA8J/r1b878Z1h/mHBP4mFSyvOG7dk5verI8d5OXfNdqvGfjmLOlLm ++gY4Tu2Ic18YMlhIPzhDDQGOhIxfbQ++xP7YJzbi/fbQIfeCM9FPnohM3Yk6 +BPNjd7D5+rAN9scPamMe5KlRh9sWMrU14gp3i/wFvgFOYmfsTezAz4kf4Dzv +n0g6sfSJ4Cf4BGPwvzWZuTqcfbD44RUtzm8mSM6azM3gs5O6mUeslfz9FnMH +MCaJ+7KxyXyUO9Sn2fkPWEDuzJ1cFLnlfZFLgm27guvS/1Ssn/Wx7ssj33ws +ZGyIPDQwEp48M+pdzAPmk/PuDJl2R+hcGXWlOWrvzFwP/FJmXD8msP3j2u9x +Lc5/iBXEDLBuSG4u8snc+Tk55MPyn0u0v8tbzEfJb+HojxTmS3ngJxz/qm7m ++edFLeWC3Dkv+S2YSe1xaWANGE+MBOevzX335uX2kfnhJ2BwXWAyOXhLYNS6 +yJvhCeB/dcRc8iFqHrx7kXxJaxrZ5jo3mEQ/+ffrsabfF46Rf1C7sd45DrkO +dQryikfV/+/cudjUwjV5YgBj+2jeaTqPvm3OM+E9YA11XeovxB/yEsZQe5kU +eT5rJu/fFevkPDh/4jX5emu58/8wzIFdyIfScmc9Z1LMMyryhulV/ibv34/a +Dv83oi5zT25M+RL/f8iNOzfmrmcRL35buC5JDH62cM2RGsqtan+Y+1x+lLtG +Rsz6dOFaJDXJPYUxY2HgxpjUOfY71DhT10rez1yjpB60JHMtEg63T+0nwt/w +u4MRuzlf6mLkpVs0f0fmOvkdam/LXLtembl+Sh31psx1Q3KFP+fmv8RH+AG4 +QF78UfxfYGpwrQmpc8J3NXZjxX54v9rT4n8S1PjJ1+DP3H3ieGvU7sCDI7u7 +/9gW3yXuETy3Kv5/Mbzi+HRmxbUo8JB7enpmnvHZzHhzQndjzoyot36UOb4O +i1riglg/+2jIPX9jbswaF9xiVouxjL6zKr7nI9SuV3939V/e1XMsiPoAtros +YjH56+7AmUHht/gP/ACZ+iftspBPiPiO78Hjbo67PDh0BsX9pp96IPkfeSD+ +Cf9gLLVH2ttCro7/N30lc068JvIpsJ8YwN6xJ/3twWuui7gwKubfG/nFr4ID +EPfmHI6ziWVwn3fzYs4eIYPP6PC/FrgP/AGZNR3+DX8g3g6LGFwfuSE5Invc +F2u4M3XcuzkzF0afGN0YeRz5HLk6Oful8rG6qLNcTM4eOR25HbX4Q/8XzVyL +h/cN5a6l/p/MVVnn3ljjkDhP7ENetDLWT42Muhg8CBwdFPa9I3XMX6h5OlLb +6ouSV6W28yrJq1Pb567MPHF55KTYADuB55z/vWEvcH9lxMdXgjvBoS4onPuS +o48tnLOTu08szJ3gUKzv+cDPUwrvkb1+qjDnh/sfqumFznsNzpHA0SmF8Rmc +vqxw7kYON6nw2VMzwGcO/V9Z6/1jYP7vYxy4wJhLUnPzGrU/Kpwnki/CMddF +bXZ8Yfti54sKnyFnyV0k/rNWYgJ1E9ZaW3Hd7aLUe50SnG1K5LTcQfCM+8J9 +GlOYi74b3Jk6MvEKfs2e2e/ywECwkHrQjPjfweC4f/gQfH1gQye/XxG2u6Gw +TbHt/CJsnfqb5BHYpqbiWh61wFXBmeHO5xfmzHBneARxHR9gnazxoeD066Pe +OK+wX+FfdwRnXh28mxwHnwB7tgSfr4nzH134/s2OOwt+UZ+HExDPlga2gF3P +xH0cELizP7CLHIdYeHfwH3gQ/HpMxETiLPERG9OOCfmmwADiBVg/N/gGPo6v +s19q8EsCz18Njg3XZn1wF3z3jcycHG7eERjCvPcGD4ePc2euDWwktlwT8YX4 +NS/iOi22ID9nHHOdFOtCHwxijnmhQ3zbE3g+IPTQ2RJnDT8kF2mPfJCzYP/w +DWLsssBy8kV0qHdQP5of+xoSGAOWwV1OiFiwOmI0sRrOMz7GJvE/wQmF/19I +jntJ5DJ7wnasA304DVg+Ks5kXeSr2BP+g02p42DP2wLziKvYgjvJ+3Ghgz9y +7+B54DZ+wtn8H9IDUnU= + "]], PolygonBox[CompressedData[" +1:eJwtlmdslVUYx09pey8UOri373mvRBxlWyCKDMWISqGMAoUWkF1mKBaKrLJK +GJHRAYUIjYkJYkKJGxmljDI0BGI0QIxRIYriF8SVaAREVPz9ffxw8v6f95nn +POOch2cuLCpv4Zzbz0ph7ct27myqc5lR59aCewTOtYs41we6C7hDhnOr0p3r +1Nq5S2nOjY471xH+edYP8LtlOncjy7mlGPsFmeK2zs3jX782zo1v6dzXoXNr +kvEB7yr4C9Zm6BnQX4Jz0I2xOkMPwedJ7OcSz3rwdu/cQWRi2FmFzgHwI/js +C+8+/HcPLEbFGkJ3A99mbUR2EP+Gob8ZuhReLvFtAteyyqB7QteADyDTgOxl +dN4FtyCWCvZ7DpkHiOlXZDbAG4jMEPj53nBXYjxOrEO9+eoGfQJ6PvQc6M7Q +R6GHSydqe9LeOiScm8nZXMHm7+ynCH4duACZYvAG/M3B90PEtx78F6s62WwU +ePMhXwugK7zFoFjmQS+CPgbdBXoYazD5LOPf7mSLaQE4Ff5U8vgJPsaBvyWG +Y/DPsddr4KSE+S6BbgFurTNBN58c/EgsK5C5if5h/jXDS1AfIziv8/xrZt2E +fwXdPPx/hP1UzvMi9bBXZ4zdZ7DRKWI5VC4vIT8Z+b3U4ljkfw4stiz4P4Ev +oh9mmO0G5Mr5NxG+x9YC8FD44+H3gjeI9XlotXUBe7Ow9yn0VOiD0BOhB3Em +Q3VerFvQI9lDJfHHsZPLflcifwtfjfg/pdxl21m+wLqN/Ap8luC/Hf6XqxbR +O04+Z6dZDEHCzrIfTZadsBwr1zqTW+Ap9Ec9/nJaWc2vwcZM7LXHXiX4TGh1 +px5sBy5DvgH5zcifw8e90GS1J4f9enQWIdubf7vAadlW21WwW4H/Di1WnfE/ +4NPe9rafmF4Cn/SWS9WIaqUefx/ibyC+BqNzl9zNSrfcKcfxhPVyd/YXA7fB +x2PwqvHXGjyDXDSmm24e69EY9Zlps6E/5xSDPsF3Drbm8r1BzGeJvx79Qs53 +B3R5xGxuBx9lvcXZZ0E3gZvZwyXivZeEHXAV8R7BXy72mnQ+0DkZNqsKsf8b +Op9FrIfVy0+F1mun0e+vWmHNbmkzaTq4nDN4DVyKzIveZpxmnWp2APiyt9pT +zFfApZnmU740857HxjTsNWJjPPhJ1gTordBPhDZjNGvUD/vBBXHLlWZcD+mG +VjuKqQRczFqJbIR/ReBJrDPIT4c/GXzNW+51Jt+Bx6jG4B3Ex+jQZrpmu2b2 +04HVsGr5BjoReNug70TsDmiAvuot1o/R+cZbj6hXvkc+Ndt6Ur35JzpJ8J/j +35IUm/HPgh8kv82cya42VuM9qJH76ZFqcvQV8s6b7j5s1GF7ubdZtgf9JeDc +wGZ7Mv9egb+EPbwKvk2+FoOj/JuWZjmdBM5gTYe+Dj1b9pB5Hfm7yFeAR8St +NgPOpGdoM0yz7BAyJ/CXBr8E/avol4Df85YbzawBxL7D2110lPi2ar6GVotV +2DgO/oB97Wxrs0k9s4x/u5G/g/+l4MXeZrNqSrXVl3+nkqwm+oFH4rNGrQx9 +AboJe9VtbZappkeFNhuV00LwRFYl9tKphwngsaHNNtXcOPCYuO1NM1qzWmes +s9adk5OwmazZrDvvfW+zayz++v4/ww6HdlarifcQeKG3XtCdobtDZ6CzWKf8 +gfuwekVtD73BS1nzo5Yj5Uo5VW71bxn4SGh7reRfY2h3pO5KzeQ81aM328qJ +cqNZMSTLZolmht4aezJtdujN8bY3W8r5O+D28KvSrX71ZslP2J2umXoaf38E +lmu9Ef57K6BTEbU7U3dnCrLJWTZr9QZo8Pb2UA3uA7/h7WyU4zfBxXHrpXHa +A/EXxa1XdIfoLlENq5Z1h6Z5m7mavfK5CbzFW6+qx6vAZYHNJt1x88FTQ+t1 +3dFTwF0De+uoZ9W7qwKbDbpDVoOXBTYbdUdVgOdm2ptMbzHleBQ6tc56NkX3 +Q2C9ozeG3hprA6stvUHWBdbLk2I2u9XTNd5mm2qwFjza27tNb5hC8HDsb3E2 +s69rfofWK6r5JnAvb3eHauZxnUdgva032kbwtsB6V3dAHbgqsF7Sm60avJfc +dozZrNed2DLb3nbyGQW/HNhdojtxp2Z/aG8ZzcxpxPYvawlw+A== + "]], + PolygonBox[{{5853, 1995, 4129, 4124, 6189}, {6187, 4115, + 3540, 1863, 5710}}]}]}, + {RGBColor[0.688866935, 0.69879339, 0.6861910025], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmGtwlVcVhj9Ocr7knJMTk57zfUFCSGzV0AqDAk1onZbaRBKolBQvdcqU +OhXDKC31Qkj9IeCIFapt6S/Avxbo6NDS1h+0NVaHSwklVWEcYQRvI14rMzq1 +dKY44/vkXR1+fLN39tl77XV517vWzvvuf2j1xkKSJN+ZkSQNGk+nSXKqOUkK +WryplCRjTUmyVT883J4kt7RprZIkf6onyd+LSfJHjae190vac0L7+7W/r+S/ +v5InyTd17qVakqzSuElrx7Rns9a36++Xa96/Qesv6N67tPa3ouXs0p6d+ntC +e1Y3+K6TWr9N+7dq/8+1f281SdZKpzVaW9yaJPdq3iXd6tJxi36bW/F4X7vn +2IEOe3W2VzKflLxxfZPSf5O+k6nlL9W3RfvONnvk3k7NR/Rt07mKfi/ryzT/ +a9G2Ydcf6tb/9xpnSP/XJO+NTPaUk+RR7c+5U/b8UDLfPzNJDmnPWa1Nam1U +a40F+/xmzRuK1pH7sR8dLkrepzT/hfS/3JEkFzR/XWff1Pyc7LtOMp/Q3z0E +U7JPaX5ee57XfEw++Kj80q99P0Jn7enW99Pc/vi6ZLQTH/12VOt3y5/92r9I ++/fVvffxmn091my9j2k82mx5P5GcPZLzsORcL5tz6dqbWUfsPajxss6PNybJ +Msn7YId99zvN36u7HpB+E2XLJhbYgE1jMSdG+JN5l3RolMxLkjml9TOpcfZp +yd8nHYoaq9ozldrn+PL11HZdyjz/jPZ8V3e+JHzM171zSsY9/r+nZjw2aXxF +evZJv2Xy7X01466s8YzuvZAax9jxidQ4OCU5T6XGcqazKzX/LPhv9hycYAdY +Q9e/pI4rMV0vPeaV/duA7PuNxm81+J7zqe8GC8zJkVclczK138lXMIT+N0qH +9U2WP6T1YX0zCtaxMzD8Ru753dLtG/JBr2LdK3+vaLSu6Hmn7J6r9Xskb1bJ +6yM6u6BiXYlTS+5YVDUekJwH2431lZpvbDf2D5ft451aP6h9P9D+5zSukvzr +2/z3Lt03UnAO/DOzXRXtOZHaBvQnfszJ2+VhF2tHNK7V2FDwGr91S8++3LnU +r3FxyX5F/u6qbcOuOzRe12abwP7ykLlIvy3U93n8mJp/8D3+AcPfl2/vyB2/ +K5njNlC2/H9nxuR/MnPFNAYL1gnOwBY4jNyG45ZUnJd/Lhm3Lfq6UvsLv+0o ++U7uhoe/lpszxzU+qG+d5hs0PpKb47ZrHNS5/RXrdLFkziZe5Nhk2f4GI2CG +3OnRnu6S8/Tamc4zuORyZvy9nTlHZ7Vaxmzt7SwZS30V24D+4GJZ5SqO54VP +sGG0bN4pRx49nlu/idBnqGK+2REcg97oTF4tbzRPbW70fAtritv9rb6PWLEO +n2PrgrAXDgCDxICaRF6SO+iBvvBaMXjjIelzKOLMHvTtC7seyx2zJ3PzAvyw +Kfcd68NWcAAe/pcZ09QcePIdrc1OHX9y+qnI65HAE1iibpF/8OaSktfJwQ0R +3wmNQ7lxBb6weTj8jDzqDraNBTbAyC2ZuXlr3blFbOEH9sNT6PBE2IV9rE3F +Ov4/F/rDjfyGfPJ7f9U5Plg0vyOb+J2P+bNl24MtcDR1jLhQq/dUXUOeDR6A +D4jb5ohvd+gwJ+owXEc8NuvsM1Vj4uXc/ABPkO9DkbM3w1Wtjhk1D31eU6zS +uvOH+kOd457VUcsORc05WbM9P87Ndb9KzdfDwSXkLDYfDh7ri3qBTz6SOV87 +JXtj7rz6au78mwheIFaDwe/k9FDgnP6KeNOXfDnOIuP5oms9df+tqO/UebCI +f6dxW7ff3qq57lIH7qq5D7qx1TGg9l5JHXv4n3wln4pa7434bA/eeCV3Xl+K +eN0qHtgqnz+TWz/O4bt5snemzt4QPIcfyAfW4OHdif1Db8c6edcX+GFvX6yD +0/7oFZGPH44FL1HD4Cbw0BOYJCfYAwcuCd8xx76e4K6p4DH2H282f1MvqF3E +dWX4AO7CHs6wn7zoDtwVgp9viz6Q2oE+cASYZB3+AptLYw6GkYnfLtTdE9Dj +gCPuHYlejv3T/VxqufuiF6VHQU/0XRhy6AvoQU8G9nZGLflCzfh4pH61T6WO +DCjmJeXAbxu9di7Wicm9BWN4XdX72DMVeY3N1D3qH1iHwzh7MWI7J2IHP1Ez +yevbJaO5zfwKPy0qXdWd+Zbg7IUxHw0/UgvGqz7PWd4O9FL0UXdq/cp7XJ/o +r9eGzvAouTrdK5etO3zT1OY+A37H97PDb4xdgWN6k66oU5+rmd+3180f9E/0 +F+gNVsgfxldjzm/Ho99YFX0GdZxaTQ6Siwer5iZ46cWa8fjtyKebIq+Pas+e +duf/fM3H2807hzXf225uWBvyyR1yir4W3/+66j4JrqRvnIx3Cv6k56N2w/H0 +4eg4GHwzL/qzyeifv5gZ+/Sk7D0Wdx2JHn539JBTIRN9iAH2UpNHow8Bfztj +nbcZ+FqRO4bEkpx4sereGp6Dg+FV6sLhmrHwQO43D/H8b4fz/3RgoCviuC36 +3jMhE65gH3ve7rBMOHtNq982xATMng3c4u8jVfsDfoQnBxX34brr7SdrtmNH +2LKm5tr8Zub3Kj5YJj0/XndMie1A3fpjx5Bkf6/d9YB3LHoN59YVW+gf8OWp +iCNYr0ZfN1Vz3Xz3DXcw6uZA9EHkyLtcAJ574z01PzNuLkZ/hL3kKjG4ITh5 +aeY8fif6jYbc/FjI3YP0N7kHXZ7bv/R3vGvJk23RB16J/oS8RgdyoTP6KziT +Ny1Y/Ffm2kueoO+6mt8xrTXL4A2DHHIF/alZ3FOMt1tDvDU5S06DlV3RJ6Mr +et6aGZv/yMwr6EQMeMPxXj0a71Jkz80cz1XxFoDzqRlwL3Z3hUywja/gxD01 +jx/K3CeRS/vr5vvFUYNaoi8H+6OR99zxgWuMAzAw3eek5vKea5znxIr7yCN4 +bFaH+fNnHb4Tv7FO34BuCzPbib0jNeflkchrZFQCqy0xR/btme/9WLyZToRd +lXhHoDN9BDlBHeGeljj7mPC7os29yIG6cfO0xnJ+1TfUmQPxf4fd2v/LNvc1 +H84cowWZOXVf9GmN8Y4rxPv0eODj/3FkSxI= + "]], PolygonBox[CompressedData[" +1:eJwllFlsVVUUhpe9vfeWXk5pOecerhUiyFAIk6KCFBCBUqAMYYhA2hAIAdGo +oEa4vkhtGBKNCjyV+iptCUSm8sDQQgiQMMgUHoBABU0YTBANKGliTfxW/oeV +/Guvf69pr7UHrFy3cG2Bmb2HFCLPsmbT0mbdKbNEbJYJzZrBB5JmK8DHArPv +ysxmZMxGFpuNgj8Ofl84r4JXlpgdgTMTezUynzuN+D1bZBb1MeuF3gr3EP5W +gzuIsYr7O+G0g9/BR0UCgTMVvAjOD9jyJJeKzGrgfI39AfbZ4MNIFb7ucPYz +3FE5syGlZmPJ4yTx9mGvJ58sZyOw/cPZTbi3yO05+CkxruOrjRi13O9C70Q/ +hb48VM6e+15iTML2LbUfDVT7ESSD//Pwl9HEYvBpbI1wWvBfhT0i5wR3K6lx +LPbPkDXgBnL4FGxIf+5exMcL4D+yws2Y3iX+TM42J5TTLPDf2G+k9Eb+Vgvh +NMHdQH+SxJrMWS6lnr8NXhCqt57jce4Xoe9KyUcdeDFyOaUcPdc2OLfx1YN+ +TaVf+6jnC+oZTz33e/DWsWrxN/K3qo5Vi/dwBngkZzG4Fm45vVsXqxav+RPw +R8jGhN78Y/DFUG/nMT32BH8nYu6nd+OI2UBOZ+nPXHx+gO8/kfm8x0vIY/hL +Q9muIX/5LHK/vSfzzP3XuT8QvQN9Dfpo9Enos0uEvaaqSL3znKaBtyAXiPc7 +/fgNXB1p9uqxTwf/GsnmO+G7sSRULnPQ3yf+Dp+3tGZ0e6wztz3kTmek3Cp9 +PjPKcXOk3TpHzE3gXyJxvWavfWukXfGcPLfRWe3av8j2UL16g3r6ZdSzg8T8 +Ma0ZPwD+PtYse07bwEO5/3KB3mgYOM/Zh2nN2AbwVXJ7EX8dxZrh4VnNts/U +CPBJOOvTmrkT4Fq4E7nzVkY1ea9nlWr3vectkXbHYzZ7f2P10n1sBZdzfx41 +nC9WzClZ7X7SY4QSx4VIT/hjsPdL6c/xv2dgTrvsO/QK+C4xHiU14z7r3lPv +rZ/dA+/2eQKXcf8r8E5i9+9Nr4hdx8w2MetnAu2u/2H/ZfXXXKHeVfhrwTa4 +t3b/G/hr4bcGwuc4qySHPPol/0OY/yBW7j6zPrv+Zv52nkNrJI5zvabXsH8e +6y/yN1kPvgy/M6E/rquPel1Xot3wni8nflOg3Iei59F/CrSrXlMN/CUl2gX/ +swti/e178L8D34Nywh7jUqieeG/8T3hCPt29qDvQfvobVeCvMdB+V+CvCD1d +qtq9jmHgqFS5+By+SewvA3F9Rv8HSwnWRg== + "]], + PolygonBox[{{6080, 2394, 4136, 4134, 6190}, {6188, 4117, + 3541, 1955, 5807}}]}]}, + {RGBColor[0.7671863750000001, 0.77125569, 0.7498462775], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNV21MlWUYfgI9nA/ewwvveV90sgBnTqnAgBS1D23i4hxcSqvcgs2P2eBP +1iYo1g/tg7WppVI/Un9zoFVG0Vqr2HKLNijEWq6WhlbLrRW6VVu5aF0X1+3q +x7vnOffzPPfndV/Pc6p37G57vMA5d/NNzhViHE06N4GvH8JnM86dnu/ccxjf +LHLunxhGbBrG+iLMq7HnRKlz53zn8innnse+Yezvw3gU8lbIs5BXlDtXhf2r +QudykO1MO9cC+RRkPQnnzmL8EWd+xtkfMDZC/3HIH4StDox74859i3lh5Nx5 +7P0NelqS2j8BH743u7R/LCGfE5DfiX2V2N+I8QDWXod8MKPz1PN7qJiaEVsf +9B/G2TroPYTxksXOHAzEZIv+vIi4PvK0r6pQ+hdgvFSo3LTB7gz8rcD3Cubf +YL0M+scKtMY99K2pSDnhWdrbAlkSXzaufLyM+c5ixI08Lcb8a8jGYXMh9tfB +/lPw4238HoKefJHy04nfP5muKxjvxtmeuHTtwe/9GGPYW4RveaHy3JBUzhg/ +c07f/ipXPF8Gzl3HvBmxnw3kV3dC+vYV6Hcc412wszYl2xtQ22Jf/q5JaY1y +xka/BoCxXoxLY9LxNOJY78vXd1HfadidCoS/actnL/bc68sGfblkctaTOonD +i6hTHro7UdMVofBZGyqmYxbXZFz5+AprV+PKAXMyl4+Yfs9i798J5Wst5PNg +YxnkfyIPF2B/MtC+ZXZ2XahYVsH3k/DzE9RmI3JagvPphOpLjHcbzuewnFK9 +as3P+lB2iBHmlj5PGv4ZH/PHGHmWdWUMrAdz8R7szsf4aYHwxriuWWzE7aTV +lngkLunzbvhZkVavp5DXBzxhazVkMfyuSknfjGG4GXIP8ovznHsCZwex/wj0 +3gNZe1p1bjbOSOHzsVaaEFaZB9/m3ZZXxkgf6esNO1fNN9pg3fstlhnbQzxR +J3tmM+zPloinupC7NxD/QdS/xlcM9H8mFD7Y97RfYrVI2zxpvXDN9FOvb3v2 +I8a3POV6aZlz92P+flLjS6Waj3mqN2u9xzBDP74IhE/2EHM+jm/QKSbWi7j9 +AGdP4WwOfo5A9lCheGw7ZCc9cd4NX9lfpz35RH/IN+QOrq+M1E8Z4z328hkn +fNcmVYuOtPqHvZNNijfr8W2DrAlrlZCfh/4tafEI9w0bj1SXiWvIM7s84YD1 +YcysN20MGwdPwe4+T/3PWn3oiSvJk6z7rNWefUOsEwP0m/4/HCh/3MMeZn9c +sB4hV6StXsQ9e5h8SP6etF6eAhaegb3BIt03jSlx6qa4asz6ksuZozOmf6/p +2WucwDnvsNH/xdZsOVwOeXtCvcpcXLE7ifhjPojV7YjhMtavh6oDuZX9y/ww +38wR673RdKcj+VYSqd8bjYfZi0+Wqh+zxs/UswJnu5LydQh5G4Pe1zLqw8PW +X/SVPDeCGFvj2lNlOSTXEku8I9YYJ/NjrcktrP/tvjCwGfPbfMV8AP7c6isH +xHeF9SnzXe4r5/SJvrEWQ544gn4xhiPmG3mkwnqhxGSs6QlP9miLvhLX9LPU +eIN9yVrSb3Jhv92jjJX2UhYvazVqHHQuUL/xPsnFpZc68xnFehTr2wJhIYVx +K+w3+cLN3F1tXNwf6N1zywLZJp8Qr+N2vzMfjI98cNjuGOKM/uwK1BMlxgfU +w7v/s0B39kgkXBAf9IM66kzPQeRkB3JYA39OeeIFckLka41yfpSxR+qtr4mx +RWnx+6i9j1oMPw2GJ+5lnJ32zmkwGX1YlRYvkBN67T3CeHmHHLd7pMX0UOev +iKESeehATFdDvee8SH6xT9gjrdC5xBd+2ce9hkNyQo/1+x7jzv12L8TsfUJs +0hf23azdodzPt8IKe9uwlqxpHezPj/SemxfpTu41/3k/VhrPswbcw1iKI/XF +q4E+zteHqv9sTLi5FgqzWwP5yxjzhhvm7HJGPZ23O/CXSHuYD8bAdwU5rznU +fEOoXuH7lzxAzhgwf+hbn70PPw/0/luyQBhvs97muZydZV14lrW4I9S993G5 +7pTBmO6VeCA8Tmf0NqLvjwTCWtZ4kncn8/9dRhjiOWKX/EqeXWxvPb5NWbtj +gWQFkfJUablaGapf+d4njg8Zby+0tzXnjwXy74WM8sJ7gHUfs7cvfzdFenut +jlSLOS6D/J1IfDMRqJ6brKZcz8X/05EzPzm2Wv+T12rsTqE8a/uJr+WGsS7j +ZvIK4+bI3P0R6h3fHoiXeL8xpvvs7bfO3m/cQ52s/1l73z5q+Wcd+D/jstX6 +XyfiqsA= + "]], PolygonBox[CompressedData[" +1:eJwllEtIVGEUxw/OK5u54+TMvQYGaphkL61MJ+2lZlAaRIsSUijFyE3RTqhF +RFSb6LUz141GZZoUURkJudCKsUAKM7WCIKpVT8nodzqLw/1/97z/3zlfQcuR +3YczRKQR8SN74iJX+V4PiHx1RaoWinQ4Iq+CIkM5Io+R/LBIMCZSie4WuuML +RDby72OmSAz/bmwH8D8InkqAidfLeRq8Bb/mKHGx34DM8G8IfR/6d+AI+jAy +Mt9yFpKjNSKymCIvEq+EmgrAuehKwUlsB9Efwr6MeLnU15RpNa5GX4N/Ooua +QiK3PZFF5N5FzaPYDyJ7iZkif5p4n9FHtH/wDHIAfAXbgmyRfmybidudMG60 +hhR4FfoKYuaRrw+b5/i8AU8gP6mlgphFQeO0HOx4lqsD/wj4JfbTPpE6Ys5i +P8J5wmcxfnG+65luin9j6AY494TMRm2X0N/NkMV4wXmNa9woB/+5iBrnynUl +0qj3Qy0j80RcrQ/7fOyTxFgLbkL/mrOfnC79XUOGwdnoT4KzyB8E78T/B/bf +kPGg3fG+uPWsveudPYubj/pqzO/Ynk7YXaexb0M/Gre7SSH9xD6VsFnRmdiP +7mzCZmkUvs6Ak/RzAs6Lw8b5rGt3VYf/b/BKevWQZWGLeYkYc0HroSdhOfS/ +cvg0bj7q+xebgGccKBd5nNeBV2ismM2TctqJTyhkHESx93vmq3dwWXuhtiLm +5R6zcA77QnwfwUU751JiNGOTB3cB6vGo5wn2nexPCt02bLrAw47hev7NMbtt +nCf9NrMPwRew2YGuhHMD8RujNvv67yi6Hsdy6w6Noc+N2qxrjhb0XY7NsnJU +5lqvypFytZVzcdB61F6rXZtVneEa8HLidTrGhd5BLf+W+synDrw5Zjuhu6A7 +fox8vY69DbpDGZ7tss6MD1yNfUPUuNE3pBV837HetyNv4egGXP3BvyjH3iB9 +F3Rmy13jtj5mtsqxvgWbYjbr+iasJ0dVyGrUWnVmdXb1Dr6gu+MZtw4+tezS +e/J9CtgboG9BDv/HHZsZnVPdCd0NjZn0rCatTd+QyYTtlO6W1tzu2szq7GrM +D+B03HZZc2ru8/DzwLG71Jn5B7Q8vaU= + "]]}]}, + {RGBColor[0.825459625, 0.82918175, 0.8009545625000001], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNVk1sVGUUvQ7t/D1m5s28ea8Ypcm0oiYS7USrFgiCFYqJncSWjYnagBUT +SDRRFzSg1r/oqkWIqZoAWwUlsSgaFtboQk0hpViFYICmuFATTaDRRDTiOZzb +6OLl++b7uffce88939Q2P9X3ZMrMZvEtwvdrYvZD2uyP2Oz+gtnustnRvNl4 +xuwafG049Dv2DjWbvVQ1uzU0W1XEemAW58yq+Npx/znc68bePViv4c51+Epw +VIT9HRjficw+xXwO699h/gFsH8R3Dr8j2LgeYxnn/moxu4D5aZzZABw9+Drw +vQps18L++47pGM6G+F7E3Sz2hzHuxZk+YHsU8wnM3wCmOvZ6sbYMd+uB8B3G +2k84k0ZMbVmzb2BnCfZfwZ3l2J92fJ8A7y+IbbZJ/n5LdH4z9t+MlKMbl5hV +YGtnSvESS8bxLG1RblYhfw3cu5KWr/NNysMY5vNYv+QYiIfjWynFzf0KvsXw +9SVqdQH570Es5VA2GEcrbLbjTIy9j3HmYZzdh7i/Kih/kznliPgHsb4P6wP4 +fQb3LmaF+ea08PP+Tv+9UDOO98VaL/sZ8uWMnxmCjZ9hbzvG/pTySjzrYtnp +jlUvcokYconmWYyngKW/KB58XRBuYmYOiI15oK8TWfk7nxYXmJPRnGo7ktNa +j68vhb2nYWcCv98NNHLviUi1vAI8f6Mu65HrGax9lBd+xnEQGJ7B3V34/SDm +z2J+DPtDmK+H3TncPxvo7A3w1QiEt8NxbM0rBytw9jHcrQXi1ONl8Yo8J1fY +G/sLqseA525bXvHNZPWb81OReoE98V5Ved0dCUsYCg/52HD+sIeZr1IijNsd +J2OlnY0p9QB9LdSLfc2asm86QvXOy8B2G+a34OxUVvk/YuI1+f12ShqQD6UD +s46bmNmTh5vF1y3AOo0xjMTxi46TvmccG+s65bUmF+qh+EAekd+MuQ48L5RV +q3SiPsoksllznfkQZ54vq5YDRekRe519SDzERV60FsUJrjMe4qONtrTqYhnN +uUYeUAvJNdaJ/oc8jkveO0lVuXkkEq8j5/m89zvt7IHfBuLqDcSfc4F0rw+Y +/ymZHc/LJnPBPPwZK6eXMe6JlKcmxNsLG4PA/0AgHpFP7ElirDtO1nncNfJy +i3x9GwkTdYB52OC9wb54rar8vO4j88KcMAddGeWEOjTn/Lk7EV+oN9TXzwvy +fSSRNp+IpBUVx8b7nDNXg4sVP+Ppdn3owr0tBekaNe1Hx0Fc30fyy3ej6vHS +3lbXb/L3ZCS7y6DDw8CzDjlaCx/NiXLIXDIvI47n9liaeRfGzkC2Rvwdi/0d +GnA9WHibqr7OuHa4zjN3E//TaOb1qkYvUu6ZK2p/1TGzb5h/9g5tjTqeq+9T +IAzsS9a2w8eGz3lv0u+yJu3OVb5Lk67t1ILY32La7XetZhxnnW8jnrOy9z3n +7C/2OfueeaFOMX6eZ48yh6wXe2u8oP5aGcsP3zf6Jw5iY98ud1/UPtpt9XeC +3GbeOj3/rAN1Zcp5/xls7y8r5m2uqdSTTf728Q2cLul/AHnG/yKM4UBVfTbv +2rIXNk6G4jdzQv1mvqnHK4vCxfPsc/Ym+3jedYR13Oi1nPX3hr5Lod4D2uKb +QT09mgg/9Zb9z7MV58CdsXTxixbVhDiIgbyk/lL/yJ3jzp97qbvAtjoQFzqd +D9QSvlmsL8+yP8a8j4e9l4mXfON8Rex9i/Gmiv7PURuIe5dzuK0iPaWW8a07 +UNDeQ/DfFco33xjy4o5Ye6N+l7Vf6/jH3HfFtYE54W/GsCb4T79rzgH22Wpf +X+P/wzj/F0l+Ut8= + "]], PolygonBox[CompressedData[" +1:eJwlk09IVHEQx6dtfa67vd33fOvbDSpwywqKciHLdaV/rtKh3YO3oJTEDArq +0iU6FHTpGFlH81paQZpGHtLqUIei1iiDyES7FNStQxbaZ5jDwPzmO3+/M7/G +vvPd5yIi0oVEka1ZkbFakaW1InOBSLMr0pYUaUyIjMdFHoci98Hnwd+ClzyR +XvAD4AeRd9jugY8iE/j28c7FRJwakUxa5G+DSCVmtl/gM+tEDpNjP7FnyL8C +HhC7BqkD/xRYL13E/8uIzOK7kXrT+N4hZomcL+h7HPwbegX8GHgLWBmpJceq +YzW1dor3Z96XGDqJftkXeciM3+tEHpGzk/gy8XliDyG7eQ+B94Dv4L2e95xr +8+mcy+RccKyHk/Ta4RlnypVy0g6+GbyAbyt6qcFqb8fWiX6D+tP45/GfQm6j +5+qtl15q9iSNY+VWOVol5odjHClX7ezrIjGL2gP8TIXG1SKcfQzMppj2UMR/ +BN9t9VbrOvn3Ydvk2HwbMiaq56i1F2yP9h8xnxb0Z+yrTD9Hwc+So5/+npKz +kjBbAZ8cvkJ/N6lf8GzHulvdyXFsE8AP6PG31ia+m/g3cdtpLLTd6w3ewvcE +Mim2s59gY/he8W03urNT6MOucbUzYTW1tu7cwX8kbbV0hrvoUWxbIrazGnQf +/4WocXoavUg/V13btd68R/8p5HXcePwDP1+w9zPTLP4fAuP6KzmehLZj3bVy +0IbelDVfrTkY2J/Q29E/VOV9LW23W6XtgcD+lP6teWosU6vJM86Va73JQmi3 +oxy2oneQv5qyW5zk/T6wWO1Re33JLEO+/ZUj5Hiesd3GyVsk9gLYqGu3oDOu +kGvAtXl0JzPog779Jb3RPHFZz7jWOZrRd3mWU+9mGN9XrtXSm1BONJePT4l6 +/wGrMZdX + "]]}]}, + {RGBColor[ + 0.9129594355950474, 0.916160239761895, 0.8776958675986122], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFlMtOk1EUhbeStED719ba1uiIgMxg4CWplqpx4AMYGYskijEBHDEoI6OC +DyAOVXwBNaIJGkf6BCZF4gQIDFQSL3GoUdeXdRIHJ+ecffZlrbX3/w9Mzl6Y +2RsRl7R6tMaKEecKEV/6Il70RwzkIo7Iodsbsab1Tj7jpYgT5Ygn+YjtnN+G +9kR0tH/UGpb/55zPn7Sv1iOeyrdbjXi/L+Ju5vtX2Xf0/qsWcbUScVp5B1X7 +T83xf7U3DrjmpGIv6v246k4I27O862/1/McKzinlWVb+y7Ldq9p2UnkeZY4n +dkHnY8ozUrDfS8XOJ6w3yCMub/T+U/7L8vmhfVX3hzp/0/m71gOdc3Xnp84d +1V1R3l3lW6pag169T8FZ+CtVc6IG95mCa3FHb/DDYzppj67ojT7w54zO2PFF +J3qzIqxL/dZ/cL94ZebTEuch+bxt+H02+axVrd2rujmDl77Rk8Nl96VZc+6x +mnvYSdpwhgPcrquP4+LcLJrH/aQb+MCPLjf1Pi2/lnwOKfeiaowK06b2jcyY +4DGSuNBP3ulpV3FbmXOfkd6lsvk8z6w1uImnHrzaRWMBK32CM9rQX3iSkzd0 +hwu6bqfZ7qubF3OH70bCcCrp0Ez2Tppt6pCH+6Kw3Kq4PnnRgP6Optkiz5y4 +rMrnrHyOls0HLvRqoeJ+oR+z9lrxt2U7X/ZcrGf+3tDmg3p3RTmGD1ozZhl8 +xBJHbb4luOXr1od5giecNhOvnTRb2H83bF+vGsdu0muiZBxgoCbxcH+c+RuD +G7b5pAlx7aQ//eY/why0S/626TNYWsnOLFyrWKd/tN6l9g== + "]], PolygonBox[CompressedData[" +1:eJwtkr1KXHEQxU9UdtW9d10V3UVJISYWghZGwY81BAl5AMHeCEER1FTpVdAn +MGXUvICGqPjZaJ5AotlOBZsQCBHLCMlvOBbDnZn/nDNnZm7H1ML4fJWkbqwG +qzRL1znpCvtblJ5ik3XSM+KRFuk+Lx0XpKMn0ia5Afw2rBd/K2tMYN8l0g+4 +vmM31eZ84K2f2r6C+YJ3pVH6mkq/8PfqpX/0+JmRztEyDfZN1PO+y9sYmB38 +VTCjiTGbxJ1Nxr4lHgL/nIE64BjGf6DupGCtH6nJtkq3Gddk8Guxrir3rMPf +p/aOGdejFzOOE180SO/BzpM7hW+R/iN854gv0Lid9ez7rdY6Cr4zZ81XqTFR +u0D8J+8ewf2JXLnFWmMXsetDOL5kvbPY3TK9Zuk/mHjmOfwlcuXEGtrhqqTu +v/2oIfzguAT/gveN1Pw99Jto9EwxS3B2lXyr2MFas2/7gR6vEt/4Ev86tfY1 +7KDgXPixo5fMs5KaO2Y+K/q2eerKJWudzPt2oXmG+HPqW8U/M0XPb/JNfqP9 +NZjzBs9yQHyT+oZxu7jBf73jYf0= + "]]}]}}, {{}, {}, + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4881, 4967, 5631, 5630, 5641, 5640, 5013, 6182, + 5079, 6139, 5080, 6140, 5076, 5818, 5078, 5816, 5077, 5817, + 6212}], + LineBox[{5143, 4962, 5870, 5627, 5639, 5638, 5012, 5433, + 5434, 5432, 5436, 5917, 5435, 6083, 6204}]}, + "0.923`"], + Annotation[#, 0.923, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4880, 4966, 5256, 5255, 5348, 5347, 4876, 4961, + 5626, 5625, 5637, 5636, 5011, 6181, 5074, 6137, 5075, 6138, + 5071, 5815, 5073, 5813, 5072, 5814, 6211}], + LineBox[{5142, 4957, 5869, 5622, 5647, 5646, 5018, 5444, + 5445, 5443, 5689, 5688, 5141, 4956, 5621, 5250, 5290, 5289, + 5010, 5428, 5429, 5427, 5431, 5916, 5430, 6082, 6203}]}, + "0.8520000000000001`"], + Annotation[#, 0.8520000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4879, 4965, 5254, 5253, 5346, 5345, 4875, 4960, + 5252, 5251, 5344, 5343, 4872, 4955, 5620, 5619, 5635, 5634, + 5009, 6180, 5069, 6135, 5070, 6136, 5066, 5812, 5068, 5810, + 5067, 5811, 6210}], + LineBox[{5616, 4952, 5909, 5481, 5249, 5342, 5926, 5341, + 5480, 4951, 5868, 5615, 5645, 5644, 5017, 5441, 5442, 5440, + 5687, 5686, 5140, 4950, 5614, 5248, 5288, 5287, 5008, 5423, + 5424, 5422, 5426, 5915, 5425, 6081, 6202}]}, + "0.7810000000000001`"], + Annotation[#, 0.7810000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4878, 4964, 5629, 5628, 5707, 5706, 5053, 5776, + 5777, 5773, 5775, 5774, 4874, 4959, 5624, 5623, 5705, 5704, + 5051, 5750, 5751, 5747, 5749, 5748, 4871, 4954, 5618, 5617, + 5703, 5702, 5050, 5745, 5746, 5742, 5744, 5743, 4869, 4949, + 5613, 5612, 5633, 5632, 5007, 6178, 6179, 6132, 6134, 6133, + 5065, 5808, 5809, 5805, 5807, 6188, 5806, 6206}], + LineBox[{5192, 4947, 5126, 5111, 5190, 5189, 5049, 5765, + 5766, 5764, 5823, 5822, 6009, 4946, 5125, 5110, 5188, 5187, + 5048, 5740, 5741, 5739, 5821, 5820, 6008, 4945, 5819, 5611, + 5643, 5642, 5016, 5419, 5420, 5418, 5439, 5438, 5610, 4944, + 5908, 5437, 5247, 5286, 5285, 5006, 5416, 5417, 5415, 5421, + 5914, 6080, 6190, 6079, 6214}]}, + "0.7100000000000001`"], + Annotation[#, 0.7100000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV0LVOBFEYBtC7QEgoqNCWmjeA8AboLu7SIUuDLk6DN+jDQIK8AK4NnkCJ +tMiZ4uS795s7f2ZuUfdgPBkLIaTIzgmhh6uCEC654Zo9Xafs4js/hA7Zzo4+ +tzCEPO7tH3ngSN8q2/hyvkU2k6Vv58L6nDTvxXjVzeWFMM80s8ywpm90roll +c1ZZ4VBfr2vg075O1pKpb+LM+pRg9p980U2aN8U4E6RY1cc9T7BgzhKLHOir +dTV82FfJSjL0tZxYH/PLD8+6UfPGGGKEYVb0u9H9RfdizhOPvOu3PN9mnU02 +SNdX8W79xp2zt9F7ugH7JL300xf9h77E7NLoW51LEGc/miOrKaeSYndRIcvk +P4xhTFM= + "]], LineBox[CompressedData[" +1:eJwV0LkuRGEYBuBfIrFWxtYgLmAkdjqqSWyFS9BKSKyJQmObGXvjCuw0GDND +4RLcgJkRjbE0GpXGM8WT9//e85/vJKd9anZypiyEME2sPoSJSAjl8lcOyyEy +zvmmEArkiDSHUMeRvqsxhG466aWndHZn3LNn+W1Oy3vSuivzNZcs65ZI6vca +Qthnl0MO+NDX+n4NbYyZO9z/8m5K3pX26s7NF5yxqFsgoU/YkSTODtsU9dV2 +VdHKqDnq/qd3b+UNKd2J+ZRj5nVzxPXrdmywxhabvOsr7aqghRFzUb/qnJUZ +3nQPdjzyZ2dWZljR98l+fvSDcoAnfcH8ygt5ov55TsbkP73TQrQ= + "]]}, + "0.639`"], + Annotation[#, 0.639, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV0EcyA3AYxuGPA6Q3XYxELxsn0LeOYGMn6kQ9h97tmXETVtjoM5zCk8Uz ++fze/yJSXqwtLDdFxBLN2YjHfMQTCVIkqekHuYhD6rxpk1rCXSlEVElrWTKs +2I5sx2zxrk1pSXeft/3ktAJ5Vm0ntlO2+dCmtZR7wNtBiloLJdZsZ7ZzdvjU +ZrS0e8jbYVq1dtpYt13YLtnlS5vVMu4Rb0fp0LroZMN2Zbtmj29tTsu6x7wd +p1vrocym7cZ2yz69jd+iGDGv/7grVPm1/VG0tVCi3vg/S747z/5+5YUH/c7n +PRO2f7bML7A= + "]], LineBox[CompressedData[" +1:eJwV0Lkyg2EUBuAT+9pYIp0xZtBoLJXOjB4NDUXM2BMV92Df3QWFe7LMEEEs +QYgnxTPn/O97mu/vSW9MZxMRsUhvZ8RjR0SOB/I8sdwesW3uMMkUKdltW8SL +/ZVn3iiwots195hhlm5Zzv2H/ZN3viiyqts3D5hjnj5Zwf2PvcQ3f/yypjs0 +j0izwKCs6D68IUFZVm1Wsa479n3CUuU9jMhK7mv1ddTQQD0Z3ambMzJkGZOV +3Tfpm2mklRayunM3F2yyxbgsUflH9jtu6O+KGCDJfeVOP2QfJp+MGDVHuJZf +mldMpCL+AeAGPmA= + "]]}, + "0.5680000000000001`"], + Annotation[#, 0.5680000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4864, 5331, 5332, 5231, 5470, 5902, 4924, 5471, + 5333, 5334, 5232, 5472, 5903, 4925, 5473, 5335, 5336, 5233, + 5474, 5904, 4926, 5475, 5337, 5338, 5234, 5476, 5905, 4927, + 5477, 5339, 5340, 5235, 5478, 5906, 4928, 5479, 5958, 5959, + 5736, 5738, 5737, 5041, 5182, 5183, 5108, 5123, 4929, 5965, + 5762, 5763, 5666, 5668, 5667, 4985, 6183, 6184, 6147, 6149, + 6148, 5088, 5557, 6185, 5558, 6186, 5236, 6216}], + LineBox[{5449, 5297, 5298, 5198, 5199, 4887, 4837, 5303, + 5304, 5205, 5206, 4894, 4844, 5309, 5310, 5211, 5212, 4901, + 4850, 5315, 5932, 5316, 5217, 5924, 5925, 5890, 5891, 4908, + 4855, 5845, 5846, 5844, 5848, 5847, 5037, 5698, 5699, 5596, + 5597, 4915, 4859, 5732, 5733, 5731, 5735, 5734, 5040, 5700, + 5701, 5598, 5599, 4922, 4862, 5144, 5145, 5112, 5147, 5146, + 4984, 5488, 5489, 5487, 5491, 5490, 5087, 6077, 6078, 6060, + 6201}]}, + "0.49700000000000005`"], + Annotation[#, 0.49700000000000005`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4861, 5323, 5324, 5225, 5462, 5898, 4917, 5463, + 5325, 5326, 5226, 5464, 5899, 4918, 5465, 5327, 5328, 5227, + 5466, 5900, 4919, 5467, 5329, 5330, 5228, 5468, 5901, 4920, + 5469, 5956, 5957, 5728, 5730, 5729, 5038, 5180, 5181, 5107, + 5122, 4921, 5964, 5760, 5761, 5663, 5665, 5664, 4999, 6176, + 6177, 6129, 6131, 6130, 5039, 6058, 6059, 5864, 6219}], + LineBox[{5448, 5295, 5296, 5196, 5197, 4886, 4836, 5301, + 5302, 5203, 5204, 4893, 4843, 5307, 5931, 5308, 5210, 5922, + 5923, 5888, 5889, 4900, 4849, 5840, 5841, 5839, 5843, 5842, + 5033, 5696, 5697, 5594, 5595, 4907, 4854, 5168, 5169, 5117, + 5171, 5170, 5036, 5582, 5583, 5581, 5585, 5584, 5102, 6158, + 6159, 6092, 6093, 4914, 4858, 6026, 6027, 5882, 6029, 6028, + 5064, 5794, 5795, 5793, 6001, 6000, 4998, 5553, 5554, 5552, + 5556, 5555, 5086, 6056, 6057, 6055, 6200}]}, + "0.42600000000000005`"], + Annotation[#, 0.42600000000000005`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4857, 5317, 5318, 5220, 5456, 5895, 4910, 5457, + 5319, 5320, 5221, 5458, 5896, 4911, 5459, 5321, 5322, 5222, + 5460, 5897, 4912, 5461, 5954, 5955, 5725, 5727, 5726, 5034, + 5178, 5179, 5106, 5121, 4913, 5963, 5758, 5759, 5660, 5662, + 5661, 4997, 6174, 6175, 6126, 6128, 6127, 5035, 6053, 6054, + 5863, 6218}], + LineBox[{5447, 5293, 5294, 5194, 5195, 4885, 4835, 5299, + 5930, 5300, 5202, 5920, 5921, 5886, 5887, 4892, 4842, 5835, + 5836, 5834, 5838, 5837, 5029, 5694, 5695, 5592, 5593, 4899, + 4848, 5164, 5165, 5116, 5167, 5166, 5032, 5577, 5578, 5576, + 5580, 5579, 5101, 6156, 6157, 6090, 6091, 4906, 4853, 6022, + 6023, 5881, 6025, 6024, 5063, 5791, 5792, 5790, 5999, 5998, + 4996, 5548, 5549, 5547, 5551, 5550, 5085, 6051, 6052, 6050, + 6199}]}, + "0.35500000000000004`"], + Annotation[#, 0.35500000000000004`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4852, 5311, 5312, 5215, 5452, 5893, 4903, 5453, + 5313, 5314, 5216, 5454, 5894, 4904, 5455, 5952, 5953, 5722, + 5724, 5723, 5030, 5176, 5177, 5105, 5120, 4905, 5962, 5756, + 5757, 5657, 5659, 5658, 4995, 6172, 6173, 6123, 6125, 6124, + 5031, 6048, 6049, 5862, 6217}], + LineBox[{5446, 5291, 5929, 5292, 5193, 5918, 5919, 5884, + 5885, 4884, 4834, 5830, 5831, 5829, 5833, 5832, 5025, 5692, + 5693, 5590, 5591, 4891, 4841, 5160, 5161, 5115, 5163, 5162, + 5028, 5572, 5573, 5571, 5575, 5574, 5100, 6154, 6155, 6088, + 6089, 4898, 4847, 6018, 6019, 5880, 6021, 6020, 5062, 5788, + 5789, 5787, 5997, 5996, 4994, 5543, 5544, 5542, 5546, 5545, + 5084, 6046, 6047, 6045, 6198}]}, + "0.28400000000000003`"], + Annotation[#, 0.28400000000000003`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4846, 5305, 5306, 5209, 5450, 5892, 4896, 5451, + 5950, 5951, 5719, 5721, 5720, 5026, 5174, 5175, 5104, 5119, + 4897, 5961, 5754, 5755, 5654, 5656, 5655, 4993, 6170, 6171, + 6120, 6122, 6121, 5027, 6043, 6044, 5861, 6196, 6209}], + LineBox[{5133, 5825, 5826, 5824, 5828, 5827, 5021, 5690, + 5691, 5588, 5589, 4883, 4833, 5156, 5157, 5114, 5159, 5158, + 5024, 5567, 5568, 5566, 5570, 5569, 5099, 6152, 6153, 6086, + 6087, 4890, 4840, 6014, 6015, 5879, 6017, 6016, 5061, 5785, + 5786, 5784, 5995, 5994, 4992, 5538, 5539, 5537, 5541, 5540, + 5083, 6041, 6042, 6040, 6195, 6222}]}, + "0.21300000000000002`"], + Annotation[#, 0.21300000000000002`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4839, 5948, 5949, 5716, 5718, 5717, 5022, 5172, + 5173, 5103, 5118, 4889, 5960, 5752, 5753, 5651, 5653, 5652, + 4991, 6168, 6169, 6117, 6119, 6118, 5023, 6038, 6039, 5860, + 6194, 6208}], + LineBox[{5186, 5152, 5153, 5113, 5155, 5154, 5020, 5562, + 5563, 5561, 5565, 5564, 5098, 6150, 6151, 6084, 6085, 4882, + 4832, 6010, 6011, 5878, 6013, 6012, 5060, 5782, 5783, 5781, + 5993, 5992, 4990, 5533, 5534, 5532, 5536, 5535, 5082, 6036, + 6037, 6035, 6193, 6221}]}, + "0.14200000000000002`"], + Annotation[#, 0.14200000000000002`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{4831, 5935, 5936, 5648, 5650, 5649, 4989, 6166, + 6167, 6114, 6116, 6115, 5019, 6033, 6034, 5859, 6192, + 6207}], + LineBox[{5148, 5986, 5987, 5877, 5989, 5988, 5059, 5779, + 5780, 5778, 5991, 5990, 4988, 5528, 5529, 5527, 5531, 5530, + 5081, 6031, 6032, 6030, 6191, 6220}]}, + "0.07100000000000001`"], + + Annotation[#, 0.07100000000000001, + "Tooltip"]& ], {}, {}}}], {}}, + AspectRatio->1, + Axes->True, + AxesLabel->{ + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + AxesOrigin->{0., 0.}, + DisplayFunction->Identity, + FrameLabel->{{None, None}, {None, None}}, + FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines->{None, None}, + GridLinesStyle->Directive[ + GrayLevel[0.5, 0.4]], + + Method->{ + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, + "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, + PlotRange->{All, All}, + PlotRangeClipping->True, + PlotRangePadding->{{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, + Ticks->{Automatic, Automatic}], + GraphicsBox[{GraphicsComplexBox[CompressedData[" +1:eJzsvQeUVUW2BoyKjgpmEcw5MYqYA+Bx1DGNYVR01DEyOoYxjRlmTKiYMOEY +EcRWQWgDNElo4m1ooLuB7tuBDnS8nROImEX/vlXn2/vt73AH33v//57/Wq9X +r1VrVzpVu3aqXbvq7j/krktu2rxbt2777NutWzIdddC5Xf8ZQbfwz8MxgStm +3NH1n0vlcYFdcUWJwOU+Q+Cffk7+VQv8imtfJ/CBSXBUvcDTXfNGgc92H2wR +uMz13ybw39wAOwT2f2sJ1nlifoAxP1seFxjzA4z5Acb8AGN+gDE/wJgfYMwP +MOYHGPOz67SWYF03nqedX4zmF6P5xWh+MZpfjOYXo/nFaH4xml+M5hej+cVo +flE63Pi68TzjAmN+gDE/wJgfYMwPMOYHGPMDjPkBxvwAY36Wj9YSrHy1cTqM +ReYF2K5fnNYvTusXp/WL0/rFaf3itH5xWr84rV+c1i8qJzbOV7HIOvG8AGN+ +gDE/wJgfYMwPMOYHGPMDjPkBxvysnFtLsMq9jcuJWITueJ14XoAxP8CYH2DM +DzDmBxjzA4z5Acb8rNxeG6SS4xuXe7EIHzHd8TrxvABjfoAxP8CYH2DMDzDm +Bxjzs3pobZBKL21cjscicoH5iOmO14nnBRjzA4z5Acb8AGN+gDE/q1fXBqn0 +LObHcpvlHMsF5iOmO14nnhdgzA8w5gcY8wOM+Vk7YW2Qym7A/FgPsdxmOcdy +gfmI6Y7XiecFGPMDjPkBxvys3bM2SGUHYX6sV1kPsdxmOcdygfmI6Y7XiecF +GPMDjPlZO25tkMquw/zYTmC9ynqI5TbLOZYLzEdMd7xOPC/AmJ+1S9cGqexU +zI/tHrYTWK+yHmK5zXKO5QLzEdMdrxPPy9rZa4NUdjfmt3E7ju0ethNYr7Ie +YrnNco7lAvMR0x2vE88L40tLsZ9IC8fTJPVedmlrBEY7P51O6le/g/48njKl +PWCU+36ypRwwyn2/+fT9fCl32aOKpBwwys9xAyqTcsAov90NqFLKAdv2tdS+ +Vsr9uiakHLDtv4H6b4jgKRWeGY+p8Mp4Y7wy3hivjDfGK+ON8cp4Y7wy3hiv +jDfGK/CWCq9IUY6Uy8E3B7j5tUs9wBafnYTPzsj6cL+2fG1kXPwdwFh/fIf5 +LNU4uJy/C9jKpU76zlpqz3o6Oi6rpzNJL2eTfMoXGHQFGHQEGHRjy2tJzyeo +vvLTr21cgK1dovTJ9Mhynded+2P6Yf3A9AK9ZuEYyedcKo8TvZUQ31YQnVcL +DL0GGHoNMNu7v7ZxAYZ+ZXnCdgWXs33hxz2K7Ig1gc3v1s2va7Pkcz2kqIfy +VO24HlKMA/MF3SK1+4UmgTkfdAh8IOV81J/m2mOdlB9QD+UYt5WXzZJuqh7w +aeer+PX1G0l+Nwr+Ns5vzTJuhi2ft9E41kbWh/kV47TydxTZV6PIbsiQfj3Z +zyD+n0H1Y1Lfd7eI5OAisjNypf6dLmO51Ads+48TvRXS/ApJrpVIfZf98yqp +D9jaBRVS3/PtatrXrSY5W03zraH51kh9yAWLzzrCZ53Uh9xAfa8XGkhPNMg6 +WbymE57SI/tJSy8x0tMLiL4WRPbP1t5aRuNcFtlfo76rdlCB1AfM+2/U92RW +LPUB8/7c4rlc6gPm/buVO1VSHzDv7619WCv1AfP+39JJQuoDZrmQSm6kkgMs +J3jfzXIM5We5FHKwmfbFTWF5h7QHnEqO2Hm1ReQUy0l8B9+18+4kvHRG5Bzs +L09XaZLa/IxIuZVnatdYP0ma4At8A/sO/SNFPviHy608bJd866fJlO+Bz2A/ +on+kyAf/cbmVp+2Sb/0+2fI98KmXU0XSP1Lkg3+53Mrjdsm3/oJ8+R74HPYv ++keKfPA/l1t53i75+B5gfA9yAvY1+keKfMgPLrf6oF3y8T3A+B7kDOx39G+/ +Xyvyh8utPmmXfHwPML4HOYX9AfpHinzILy63+qhd8u38auV7kHOw39A/UuRb +v7eWW33WLvnWD5mQ71m52S79W3w0SH1rX6Wl5HPwXSq+BJ+k4iPQdSq6Bx2m +olPQTSq6wjqnogOsS6p1Ax5T4Rl4S4VXP99OKbd46CS5reXWP8tyOCOl3ESa +Ss4hTSWXkKaSI0hT8T3SVHyKNBVf2XOsKB8gRT7j0fqtO4We/bxGkX5QvxCX ++/YzBPbFiwSGPW31W6HAsIcBw961/dXQ9+pInzT8asbB+8BUeAXM/jbe//lx +ppMdlE72yQKys9WOZruY7WboR5QDTmX3Ak5l57IdzHYt271sx7Kdy3YrYKx3 +qn0i1j/VvhD0kGofCPpIte8DvaTa54F+Uu3rQE+p9nGgr1T7NtBbqn0a28Vs +17Ldm8ruZrvc6rFm0lvNpKeaSS81kx5qJr3TTHqmmfRKs8gz7Cd8eQuNp1P4 +BHwGGHQCPmEYdGLtVIVBJ+AThkEn4BOGQSfgE4ZBJ+AThkEn4BOGQSeWTxQG +nQAfvA9gO53taLZz2Q5lO5HtOLaz2I4CDLoDHQMG3UK+Yj7WLwB/n+43PR3w +PiuTziVmkB+yXcoxDi73cIaM08qldvJztJFcaie/RhvJpXbyY7SRXGoXOwPl +Vi61k5+ijeRSO9kbbSSX2skP0UZyqZ38Dm2Cf+DFzjM9sHiMEZ4X0Dx1Xwl6 +tO11Hwj6tOPUfRvoFeW8zwL9opz3RaBnlPM+BvRt8VxPeE5IOfzN9vyskcbf +SX76zkh7u99pIn5X2Pqhm8keTiM4Q+jUysd84pt8WUfQLdpB7qNfwFhX0DHa +QS+gX8BYZ9A12kFvoF/AWHfQOdrZfWgZ2dUVQvdoZ+3qSoFtvFwdyd8G2oc3 +0D64QdqhHPi0cVCZtJ4zyI7PpriobKkP/KM+8GnjLfKlPvCP+sAn6gNGfYv/ +BsEn6ls/RpPg357DVNL5TKXUt/qukdapKYJv8InFh+oH1hfgQ8BYV+AR8t76 +qTPIn5hJ57R6/gDYrm8u2U+51D5O7eM0vxKyb0rIH1JB9lKFlPN5AcN8PsD+ +f453Y/3McTm8P0e+lRdptJ9OI35PE7qw5bUCY91s/QbS87BHJ5P8yZTv2fWs +pPJa4scExak0kt2E/dTCiFy1/oFsklfZ8j3Lz0qX+J61y0AvOXReHpXT+J6V +r7UkDxIUR9NIdh/2SQWRdcT3Usl9fM/KkwTF5TSSXYn5lUTohNeR8cx6xPor +y+R71m4Ff5VH6JDphNeR8cx6Cd+zdjH4tTpC50yHTCe8joxn1nP4vrXDIQ+i +fMV0z3TJdMPrynhnPWrtnYSMx+fXR/ia5a7FfwPhv4Hwr3qK9VAqvY3xeDnW +KPLO7h/WCMxyEeWAOd/PL/W+FHo81b7Tt0u9r9zUvtF/T/eFVr40SIp8jJP3 +Q3b/1kn7ybUR/HAcAdYZ6a/NzwDY6k+N70A+x3lAL9r5g741Rb6Vd8MF9ngY +nTLf9huNd7Fyp5Hm0x5ZH5vfTHof82+IfBf0zPOx+G6SfD++JpKDTSnwof16 +cJrAvt9ZJL9nEJ6yBPbFi6m/RQTnCTzTpStI/y2n78UJX0X0/UKa5yr6XqnA +4GOL7wqab6XA1k8NfNXQ+GroewzXUf8Jal9HcD3Np4Ha8/4f7cbTONVu9nid +S3hTu9njZQm1jxP/59M4S4j+imncFcTvZYR3tZM9naveZrvZ91dL61JP/Seo +f8Wbxd+m+cTGWeg5ActTK7cXROIFkA89AzmLFPnQO5C7SJEPPQQ5jBT59pxa +z7uRDz3F59M2v5bsm1rJhxxivcbnwVbfdUb2MYB9P50R/Y18S2fjI+tg5YXS +Ne8XmK7Zvme6Br5tfaVr4NvSTxnRrdq7TNcbt09rqT+Gma4T/yen/38ip219 +td/AT2yvY1wWXkT8p/tVrIPdL+eTXVlI/el+EHi29qnu34BXa/9UUv1a8t+k +kxzDX77oLYwDJYBRbveZ3bpZ/0UG7Qu7dbP+jIzIuKx/I4P2WbjHnKD+G6j/ +hsj4oWft+GKBHU8ssN+PkX9F3y/A+uK7Vk+Uid62++Zc2tfm0j5T3w/49+sS +i+yzYQfY8cdp/PFfuK6xiJ8asN2Hl9C+uOQX0kUsgif2c/O+me+v/3u6ikXw +znhiP/l/ji5jkXVkvDOe2M/O/gi+3/3v6T4WoRteZ14XxiP78Vm+8X3sf89n +UT8v+3XZj8t+W/bT8rkBf9/ai60UX5Yu47Z8m0b2XzrxXZrYHbafNOK7BRR3 +mit2JNrbenEph91ix5FJdLSMxhUXeYP21k4tkXJvLxRH7Fj0g/a23xKRJ2iP +evZ+a77YTXYe+dIP2lu6qxD5gfaoh/VGOewulCPfvlNQHnmXwZ6/VEk9e+5U +JnYb2+Hox55vVhP9VUp7G5dQL+Ww+9iOt/1o/Cfa27i3RMTOt+fLiUicpz2f +mBzxw7OfnP3Y7GdmPzD7adlvyn5L9hsC5jjHVH5E60dTP5gdV7bAoENrJxaR +naf2v43nVT+YnWeC6nO8SHQfw/sW8EmqfQnvQ3jfsXE/NfuJGyPj8euo98mQ +b+XCDEl5f+ubLZIU+Rg/7FmkyMd8PJ4KJeX9LexZpLy/hT2L1MYVJMT+Rspx +Phv31y4QvQCY8WL1+7IIXiCXATNeIFcBM14gF618UrzY9zyqInix+rE2ghcb +p8L7fNXr1l+ZQXQyWfysgP28R8s+39aLCR0xniF/sO+FHwD5wCfojNcB8sp3 +v1j8BMgHvjd+LpAr8g37Yv+dfMnHeoBOeR0hD/28YP8WSz7WC3TM6wz56b9b +Kn4I5GM9+ZzC2mnQb5Xip0A+1ht8wHQC+ey7qxE/BvLtuzl1ETqCPMc+G34O +5Nv7sZ1BqesI8WodAvvvdBLfwa5eJvSH9QM9YT1AH8Av1hv4wvph/lgPqy9X +0/58BsmJTKFL/71pRI8ZQne+fhbZUzGhK98+j+Ifc4Vu/PfjMh/QG+gCfhfM +D/SEdYefBfO19hD2ITUkB6pl3fz4NG6bz2n86qwVPEGOAg+AsS5sFwO2cU3L +Uti5hRG7FDDWEXgEHgBjXdkuBAy+YLvO4jVql1n7qyFid3H8DOjI+ov0XjWX +23MonP82SIp8yFnIXdAn1gUw5CroE+sCGHIT9Gn1d4HIRdAn1gUw5B7oE+sC +GHIN9Gnjx6pFboE+rd6uFbkE+rR6vF7kTiq62zidFaakI6YbphOmC6YDjjOz +/BETGOuDdcQ47f4vl/gnh/RjIcmhuMA2DiVH5mnlaAnxV4m0Ax6AF/CP5bdy +aQc82TjRauK/amkHPNp9WR3xYy3puQayA+sFBj1YvYZ45TSR2+AXXhe7Xpki +x8E/vC5YL99ftsh18BOvC9bL7ovjwl+8LlgvX14kch/8xuuC9bL71grhP14X +axdUil4AP/K6YL1sPE2d8CevC9bL+puUX+1+WOWijTdpErnH9SAHUQ/rhnXH +umHdsX6WDrJl3bFuWHcrL7Jk3Wwcb76sO9YPMNbN8mmxrLvlI/VrYt2t3FxF +fLRK1s3aL1Wy7paPKmjd1N7DumP9ANt1q5N1w7rb/VYdySn2l2USfas/iv1H +wBvGz/4Z9qdgXlhv3k+AHrC+HtT9AtYf67nx/cByWT+297G+WC/fTu15rCfW +h+11qw+j9rjl00TE3sb6WP0/nvT8KILThK5RH3oCeLPybYbAWE/Qua1fIHgF +XqxcLaTz87jUt3okX/CG7wIGvYAPUB96BesCvOK7gEFfli+KRc/YdawhOVxD +5xE1Uh96B+uKdcF3LR9VCt+gPvQX1h3y035X4/AgTy0fx2S9sb4+HS16C+uJ +9QO/QE9hvaycWix6CesB/INfoIeAb+AX/AK9A3wCf+AX6/dcLfgBv0CvAB+Y +P/gF9O/7zSC/pcansz0FvFm/RywShwP6Bh7t/jA3EpcDegZebf9x6j9OdlEJ +7UfZ76r7PeDd7i8qyF+p+z+739N3YTmuB/SIdeG4Ho7jsX7KRtnfc9wI9o+w +e7Fudv1ySB4VkD1bIqnFWznhpZrmrXYiUvZDQz4i/bX5mTkeiuMt7XgmyzyA +X8wD+MU8gF/Mw8rjIpKvZSQvKwW/9vxSzyHs+Rf+1hJdTJZy0BHzMfMl8x3z +FfMN8wXT/S+lc/+9dBm3tfeVfiBvkFp6L6D9hp4T2v5yyF7U+DP0gxTrCHsK +64kU/SDFOts4aI1PY3806MDufzVejf3Tlg81zp3Pzax/Uulo4/5qpSu+F+vH +10nyZDjR/2jBq5/nNIGt/VhA+8AC0YeWP/IEhj60cknlO/ShlVOrBIY+tHKr +gvBSKXiAHrX+kRqx6zBv9gPB7krl52G/Dvtx2G/DfhrYp+yvGhXaJ9AP8A9j +nFY+TBY+s+ULaL3U3wE+wDws35RH/BHsb9i4P0Hnwf465Fv6SpfxYbwYn+Xr +EtoXldO+vpr27Xq+bPFc+6vDk+W/UaRvZhDdLZJx2H2HnhdiHLAf7TnFahmH +76+GzmnSSN6miz5AOeaPchtXlEbnl+miL1BuzxvSKW4nLbJONo4mTfCHcvtO +ahrZmzp+6A2MH+tu7fFM0gcLZPwox/hRbn83IlPGj3L7uwuZMn5Ld2milzEe +6C0bZ7FMxoNyu/9fRn6obNI/y+i8KlvGs3G9HCc7SH/nA3oS3wfd2Pfa8+X7 +KLfvt+fL9y2fpUXWDTDGDdie3xXJ97DOdj9UJN+zej0tQge8DhzHY/2J9aLX +7flfOdFtNdFBNa1DNeGlmsZdTXxWR3RbR3Sj68B44rge5kOmW6YbXkfGM+OF +43z4dzQ2rj/qSW40Eh82Eh80El1qHDDfK+d743xPnM+XAMMOt/e02uUdGdSH +Xrd0PYrobhTRySjhJ8DW3zhK8ASY701Z/TSD7NEZdD4zQ/oHbONA9B0TK1/K +RR9Ze3iR9AfY+j/Vz2b1+QyB0Z99T6BWYPQHONW8AeO7gK1+KSR9UhhZF8Yj ++uNzdGt/JET/8rryOjAeU53Lp6ILXkdeB8Yj+uNz/lR0xnTB68rrwni1dojG +ETC/p6JrfD/VPQG+F4Dvp4r75ziGg0I7iM+V4UfE+Pw41A+CexC4h2rfV1F5 +ALvd/v5Mp5Tb97/bJN+vRxv10x7Jx/4AMOJGAFs5WSfj9/Ouo/Mhvc9kf08m +dVyKlbM10p9fxxrCXw3VXyTlft2yBPbLvljq2/eMGmU/CRj7SasnCun7cdpn +qV4Andj1XUXfK6XfgVpN9FtB+KykON9u3SCHAFt7E/6cKoGtPYn70hrXbu/D +6L0UjrvhuGyrlzJonAuoPBbZF1g9lhGxq215LBJXDdj3lxvZV1i9mBGxy215 +LGIn231IrsCYB8cN8b7FytuMiN1vy2MRO9zK71yBWc/h+xy3zXFLvG+y8joj +su+w5bHIPsDqg9yInW7bxyN2tdU/JQIDjxxXxfs6K+8zAkvXC6g8JrDdB+n9 +Dd5H2PZxgTF+q99KBGY9bs8FNC6d48J4X8rxofzOC5+j8LssfG7C76jwOQm/ +e8LnIvxOCZ+D8LsifO7B737wvRs7Pn23xqc5YrfbuFHcq9D7Ez5fz7dtXIue +H9r7eRr/z3KN5RDLBeZDpmumA6tPZ0TW2cr/WbS/aaD9AeJ08F6+9uP7h19y +SoiPDwT2/U+kczecLyP+co7AXj/Ok3l7fbck/E5OOD+FffuldN4J/zj8RQr7 +dnqPBX5R3w779iKB/feKST7AP464XYU9/sqIHhHXDf6rFNjjWeNy7Hkx3j1W +2OtzjpfCuuMdZIX9uuJd6kZZR6wH1s+uxwcCY/2wHjYOI0fWDzDWD+uB9QP+ +sX6AsX5YD6wf8I/1s+ujfg2sH/CP9bPro/ePsH7AP9bPrk8ZyYsqwT/WDzDW +z97TqRX8Y/3s+tRG7BK2I1ivsx5lvWTtv2kRu4PtANa7rMdgp6WyE1gvs55D ++1R6mvUe252s9/67dijww7/XCrnI+xwbH6P3BwFDX/heJosdD71p57WA/PQL +Je7N2mmqd9nvDruf7wPy+QPGhf7t+qnetvufHNknYL3AX4Ch7zAP9I9y9A8Y +/dtzgZrIfUDA0J+YB/pHOfoHbMdfIvtGvg/I5y2YB/q393LU7rD7sXLZZ/N9 +QD6/seeA+rs39ne3qmj/pvXtvUO1Y+z+DfKkJRI/gHz7vrqW8+/XgO5tXAfu +1+J3ZBTeuB+gg/rriOz70T9g9Id9PGD7OznR7wJG/56+UvcDGN9FfehBj2f9 +nQb0a3+/B+/Z4nd8NEW+pw/9jqcb9UcgRT2k+A7qs38W5+KWn+YKDP1q5X8+ +2XfFZM+VCQz9Zr9XS/6HBdTfMpJPyu/Mn8xPTP+gb6Ybm0bpxvP9qIj/F/rQ +1xtN9ypmiD/HtouJHQx5i3r8zi/0gG++WOSn1ReF5PeNi9/HxiEUilwHbPVd +kcg31ON3fu2961KRVzburob8mXrPzMYp1IgcBWzPa2pIjkbf+bXnKQna9zSQ +XuI48AaSc+xX7IzwPb+L7/E1nH4XbbjwqYfvEdjj/Xmpl6of1EM7pNaOUH4H +XXi8jJd1t3EbWNclsm7gX7ufLA7sfrJM8Ar+BR4gV4A/9usyHtkPCz8q+Al0 +b/krJvwFfgE/cZwx+MXGpeYQPxXSdzROle8xge7tdzROB3hFvxw3bM9HNQ4O +/YLuAdvzzdLIvSdL96uFX8BfWDf0y3HA9ryS437qhF8AWzsuEbH7sR5+vlmE +7zzya8TJ3tJ7XvATW7ushuZTR+Otj4wHdMJy2Y9zStjudfHDWHs6i+hG5TT2 +p36dZqa415kndMRy238XcTSAs4lv40RXClv/wgrxC1n7eBXRmcp1Pz7Ex4D+ +Vd4D/5buFMb+1tcHrPeNsV6WDlXuY7/r668WP5XVByr3WQ9g/+vxCbiW9IPq +AdYL2A/79dPfdeL7xpBPnq5wb1VhL587I3YXn7ti/a0cyxE5Dxj0afXxDFl/ +K+cKhM5tPNgskieLZP2tnCshPi0R+oQ8sfH5FZF4KtA5YHvfpYbOOatJDlYL +nQO29Fon88D6W7lYK3Ru5UKpyDn7vkM9nWvWC51bO6GS9l8zxF6HfxJ+Sa4H +OYN1gTxBPuohP1U9u04Zsk6oBzvB9rOI9GMW+Zn1XiLLaa5n6Tcm64x6+L7t +Jz3yXgfoHu0tnefSd3JS1gPdALb6I4fsphwZD9phH2H7KSS+igsfIR/1WG9x +PdAlYNCllcctZH+nSzuMDzD2OYCRgo/RP/gW+XYcqetZ+0HlvW3XQnIiXdph +vPae6LKIH4ffV7HnRBUiN/jeKfJT1YN8sXGVNVSvRWCMH+0wfsAYP2CMH7Bn +22KBkdp4sxqRY9Zuq4nYMVwP8s62q5N6mA9gzAftMB/A1k9XR360OooDUj8V +YJtfJ+OBnOV7vGyXcT3IY9uunuR4i8CYH9phfvbe2jKBMT/AmJ/9btSPZvtr +IHtY7/XwPWS2O7ke5oN8zIf9ruwnZb8m+yHZb8h+PvbjAbb19J6z9bu0kN8l +qmfs7xZG9YDd90blsv09wKhctO2jcsj+Xl+Uz+3vZkf5xv5eX5Tu7O/3RdfR +/n5fFG92fuqPs+8OJsiOSNC5cYJ+f61V/ID+Owrzu2bsP8X37TyaaZ76Pr7F +VwvZo6Mj+RbfLTIvi2e9f496gO3vUGo5YO7fy5dp9LuO06jfWTTOLPKjZEm5 +56vF1H8e9Z8n5fZ+aovYA5Yu48Q3RYTXVTSvVfT9UsJnBeGzguZbSXxSQ3xU +Q+Otoe/V0XzrqP8Eta+n+dbT/BpofvDPjad+xhO/zJVyb8csoXHm07iKiV7K +BLbvV2EctVQ/QXhuoPpROmU6ZjplOuZ5Mh4w703hwf4OahQvdv2ieLLjj+LN +jj+KRysvoni16x3Fs+0/EeFb5mvmY8Cp+Jj5nPkacCq+Zr5nPgecis9ZDjDf +A07F9ywXWA4ATiUHWE6wXACcSi6w3GA5ATiVnGA5wnIDcCq5wXIFciOVXPH1 +Z4j/G/Tj5zFc9s0WTpN24EO08/SDdygWCR+Crnz9bPIDLxG6gf/N1y8UPgRd +eLiI9nfFsu72/sdq4UOsq33nQd/VwbrZdxw0jseuk/4erX3vo1788h7G715q +XDPwYPEcExh4QD2f5hL+4lLPt48TH66Sej7V9+ssveu5k93f1kg9G29YIXhA +PXuPR99/QD17T0ffhYYdzXYN1t2n6eQ/SBf71trVTVJu47HTI3Y46Mbu80oE +9t8rETuc9+XAl90XlotdDrry7QsEf4BhP1s/iO4jgU/AsKcxLt6HAb82zrJe +xmX5Mp3oKp38RmlCR+Brqxe0vd3356XwC2UK3Vl9rO9CYd1ZX9v+NG4H37P4 +1/fVsL6QM6Brq++bpBzfZ3uA49dBh5ZO1N9l13dVxG8DuWb5SH/PFOUYjy3X +37fHeJhuAXNcEcZj6akihR+miOSg7pNRjvGx/YP+MD7wid2fV0T4yOJN/Vk2 +7q0m4leBnLdyRX+/FeUYL9tjqe4NY7z2nGVZhI857on9V/a+VV3ETwI9ZPUG ++x0qZfxsL6a614zxW3+R3tPF+FnOcJwV+6tsnHJ9xC8CvWnterZfo/esrf+z +XsYL2PJRfeSeLctBjuvCeG1cdYvArDcwHo6z47g4jmPjuDOOE+M4MPYf2fj4 +lghsf8+rheKXNM7K+kkURtyAn99aqW/jqDQezP4+uMZPoT3sHLSHnYP2Hu+d +0t7GM3D8FOglGkcCe8HG/zUIP1t/j/5Opr030SD8Y9+JqJL69p2TBqFfuw6g +3zXiT8I84E8CbN/F19/XTOV3Aoz+7e/Hr5FyG2/WIfXQLlU9wL7eaLELsB/0 ++Vmyv4Oete+mxGk/hnPRUpHb2B9BDvp2NSJHsH8BX2KdQQc23qVV6Ad4s/So +vzuA+vacWWHU9/ltwQaX3yr8gfqAbf0OqY9za8D2d/RayH5BPBH2hffQPlHf ++7d21vPC53ZfN4P2iYvI/7Gc+ikUGHYRYHuO1CJ2gP1eHenvFtLfLaS/W8i/ +3kL+9Rbyr7eQHmmJyOmNy8VOoXu7vgrb373tCF5y7VQ+QW5auddBdvAi4Rfw +h08zBd/gH/CLx1u24B/8ZPlH31G0/hF9V9bajfwuYhnZbaXCb9au0Pgly3/6 +jiH40/KjvpcMfrV26TShWz/PqRL/UxHqU9QD3kC/Po2F859Jdn6W4BH49+Ww +9xfT+WIe7S8Q36nxPKBP1AOesT6+P5wvFxL9rhK8Y708fjVex+olPT+1+0bg +V38vAPWwLpb/NB7H3rPX8z6sry/X+Bt736Je6JrjcKz+Xk7+nzzx9wBPHs4Q +PGJ9gRdfHiP8ZlHcXq7gya4zvwtUI9/BPH1aIniw/h79XSo7b71nyHYG9tVo +b8+x9FySzyk3fk6jdhmfs8K+AMznrihPdQ6LcsB8LotywNbeqRcYdLFxu0T1 +q42XRz3EybZICrnIdojVn+30XkAHyZ0ZMn7AGC/oy94LbZD7b4j3B14gt+39 +SH4/KpP2kfqeEeSy5Td9vwdyF/1AzkH+w7+EeVg4W+pDH6DcyrnJsi6oD3xz +f6An9OfxoPHugDEv1Ie+Qbn9HZaF8n27D26J9Ad6tXGVOSnikIqkPvQZyq18 +ySG7epl8n/vDuqM/jse3cXxlFIdSSu8ia3wRvo/6+D73B7pCf3580bgh6GPU +t/axxg8BxvctP7dE+rNxGND35ZG4H+h7S/ca3wP5Cxjft3qtJdKffS9A43Cs +HtPfKbT+j4SUQ74Dxvft/o3jEPj31hIiv9EfYLuPqCU5Vkv7hoSUW/mp+3Oc +S9q4BYXRn5VbGtdg79/o74eAvwCD3gGD/mx5icBYH8C8Xwb+APP+GPiw++va +yL7I6gmV8/AD8D4W+LDyXc8hUQ65hXLINZTbd3/0HNHKy0KSl0VSDr5EOfgW +5fZejZ7z2fHVED/U0PzqqL2+L2HnMZfqLaNxLiG5W0DjyCc8FZPcVLlhzwVa +xU+CcnvvEXSrfGffX2gVP4jlowT1z3zUSHzWIOXQc9CrHo/jhT4AW726QPQg +8Al6sb8vsYj0DvZdS4R+APPvkUHPAN+gJ8CgNyvXywT/oC/AoD/7XkmlrAfo +DTD/vhjkLtbH0l+V0KfdTydkvazcZTmZID9YQuxgwNZug79FU5xvWrnXRPKk +ieRRE52DjSd7YBTBabQvGE9x4+OlX7S3MH7/oknqQ46CbrBOoDfAoE/sO+z7 +CeVCR/a+3iLSx3h3sULqW72ZL+to97M1Qr9+vDUkB2qFzrCuwBtgS891Uh96 +ztJhg8zb7ldwL0XrYx9k41LgB28guikRugLemc+tPzKd/Cfj6R5QOsnj8RG5 +wnIBMNvDKLf3gtT+ZbnN7VmusL2LcsBs37Lc5/Ysh6ycKiX6KY3Yr6w3uD3L +LSvXKqUcMMrteIsjeonlGmC2R1EOmO1P1lvcnuUi25v2/Q9+V6klovc2bq+q +HGV7kvUil7NetHI3KifZfmS9af2iTXR+1iR8as9rlR+tfmwg/43aoyi3/k79 +3XDLzzlUXkj9x6U+77fsOUir2Jn2Pj/7ddvJbzRK9IP//mh6r3mU4APlkEuQ +99avNEv8SsCXPT9fLOe+dt9bI3LAvptbKPIXfIx1s3qnXvgQehnfB/58f1lS +bv3/qJ8n5fg+yoEn9vvY86nWiB/Hvj+r96N9mkH3eWIi50Ev0JeWHqplHawf +Tu+TAc/2PYI6+a49V4kJbOm0hb7bQnqpRb5r/Xsa/27fd2qJ3FOw55ctKd/l +8Ou/Vu7Pwo+I+7CA/XByBPbt4gL7dS4R2NNthcD2PSSU1wnsx1lP9RsFtudo +6v9Dvl+fduLHNOE3m6bJvtDPS+PkkG/XKY3WMZPWLVtg2Ef2PEvjRmG/2HMn +juusJTpIUP2GX+24+PzR2t8aR41zS0+PrbJvt+fxayQfctLPe7ikyAcdoH++ +JwG6sOeUa2h+a2jcLSnm00Lz1vciQIe2vo4D+xOLD02Rb88V20guav/8XgXj +4d/Pk+Pe//PzYPxsCu/MX1ZPp0f6wzihB+y8O1L2a8fN8+oU/z3eH/T8MkP4 +yJ6nTpPU5i8SPvPNF4s+RIp8e77FvyOYJynyfXu9xw897b+n8X7Wrte4Y+ht +2BH2XLeU4pIrxR6GXWHPeTVOGXLAf79G7AykyPcpxynr70EitXZsQ8Q+tHKl +QewSpNY/0ER2ZhPZsRpHhBT5li/1HQDfP35/vFs3pi+mS+hT0JOVt//fx0kw +X22KD3g+4CvEKXg53S72DvjD+juyKb5Z34sC/Vp/s74XBfqz5bWRd5og733/ +kwXP9t0Z3IPT93Q8n0ff6fHtx5F987rA9vxS7RCc99nvoVzrefusidop7Nez +ib6H94OmCuzJaDqNM0bzWERwnsDerlsusF8Ptds8vgsJXiWwXx+G1a7z+FlN +7WtoPgp7Oquj+dVR/2oHej6oJ7w1EJ6xz/iAxjExgt//7jpt6ju+fI7AeL/U +zn8J1V8qsKfTfFpvhouov2KCy2i+DFcKjPdGLT5qaf4MJwhfiU3SrZ/XbFrX +mb+Yrn37bML7Yqqfmu5Xuw+spP5W/GK+8PUV74jT+aV84+dXSv2VUv3UfOXX +tZL6++V85/FdQ+vzy/nS00WC+vvv8y1g6FH7HtsntD4LaHzLaH0LiB5KqH05 +4Uv3o56Olc69XNfxw16066Pxm0iRj3hN6FGkyIc+83S6UOxLn58j9qN9F0h/ +R9DageVk5+k9KZ/q73bDjwH7y757miHj8XCMxpNLfpU4jaeExlNB49HfW7Xv +Ies7C/YdyCmitwH7cTwvMPQ4/BWQM/7zOSI34K+AHPDzLxG+hr8CfGrfc9b3 +mcFH8FeAL/B9yEHAkIMYD+QcYMg5jA9yDDDkGMYLOQUYcgrjhxwCDDmE+UDO +AIacwfwgRwBDjmC+kBOAISdAP7DPsD7gY6R2XWMU/7NQ+BypxWuu0CPwBzmA +1K67vutj179AUuSDfkHPwC/kCFLkg75B78A35AxS6wfT3x0G/iGHkCIf/AF+ +wXpATiFFPvjHvnNRL3IMKfL5d77gb4Ocw/4A+yF+Jw1xhlZedko9pHYf1SJ0 +8mvzk1o/YiudI2tcP+rBb+XxpSny4aeB/8Pnt8t+qpv50981tvpG92vY7zDe +0B58Av6y99Ynk100RfAM/gPfoB9+F8baPQtJ/ucQH+XQvXT1G1s5WEL6rUT6 +4XdlrF6Py7qDXy3/ldD32Q4oEToB/1p+rKB76Ww3VBBdVQsfoh9+t8baSdVC +h+Bv8CX64Xdt7Pe13J5LNBPfa7yX/b7GKXg60PdgkA8/F59Xe/23hPxXeh7M +57d83srno368fJ6p7+nAv4PU7subxb9j/TzNwnfw78DvCb5GinwbV6T+EBsv +pL+zDj6H3Qf+9fSm/mmfjhL+hT/W+rX1/Wm0Q759jzx6/sHjg/xGf7z/tfeE +ov4H9sdyOdrB78F28a/Fbvf0NYP6WUTj1P2hn6/u5zyd6/7NxuU1i//NyrW6 +CB4BQ+7b+z/NKeSzyluWnywPWb6xvGL5w/KE5YeND9V3pHy58hdSrmd/D6CZ +1kXj9e144XdTf699X6tB7pmiX35Xhv0K/G4M+w34XRj2C/C7L7zv53ddeF/P +77bwvp3fZeF9Ob+7wvtufmeI/Uy+3hIa51Ki33waRz7hqZj0mPqZ+J0hn19G +dFVFeqiK6FLfGWI/E78zBD+TpWN9P8b6YZVOQDeQZ9Bvfp3SBLb6MF3iquy7 +MZkCI0U9xEkB776/bIGRop7n8wLSn/kCI0U9TxfFpF9V3yJFPRvfCf1bJjBS +e0+8StYNfnl7X7lK6tn4TuhvhZHa+CPV7zgXAmz1foLWCb/jOJH2lfxO/Fyx +i8EPtp6+E4/18OuaK/yBerAzbfxjvti94BfUOyi0K6FHbByk/u4X6sGO9ONY +JesBuxb8ZPfx+k68jRPT3/2ydizf51O/C/gN9WA3Qo9hPex7BvrONv9OKvaF +OC8Df2J/Bf6E/Yl1gb1g12eB4BX2AvAGewF4gb2AecNesP6Mahm33TenfkfT +xp80Rs6FbbzoDOF36BukoDfwN/SNjfdcLvwMfYPU0pOe6yK19KPnuEjt/U89 +t0Vq6UPPaZGCHsB/WC/wF9YL/IP1An9gvUD/1r4rk/UC/WK9QJ/W35EQ+w7j +wLgwDozL0s1SGYflW+bLcuI75SuMA+PCODAunCfz7xnxeTPyUc+eQ8NvrCny +/fimiTwE3SHf08lU+t3EaVIP7ZCPemjn0yyRn6Bb5Pt+YuSPy5J6aId8K3f1 +vXHIW0v38HfmkRzIk3pWTueRnNb715DP4Bvk+3Zx8lNoPSvX4yTX9b425Dn4 +Dvnwu0JOIR/1rB5YRXpA73dD/tv9BuR/hcg95Kd6h9vqDb0PDn0Bvkc+/L6Q +o8hHPbRDvtUzen+c35FGPvzGVi+lfpfa6iW9b87vNiMf509Wj2k9focH9dAO +ct/GTWocCfQA9AL0nu+vU/ia4xDhB4T+Q/wAUht/pH4J/x2NP0GKfOwn4Vf0 +6zJc/BDwG1i/g9qxHs9z5LyE7VacU/vy7Iid6vPz5TyF7VLfD+7XFkXsUJxT ++3qlEbvT4xPxh5UROxPn1H7cNRG7EufUfG6J+dp9fyaV6zkz8GH9FXqODHzY +9rpfBD5sf7pfBD7svkj3ixYf0XNc4AMwzxf4gL8I8h8w5LUtzxMY8hAw5Jf1 +Q1UIbOWMviPq9c1CqpcjsPVrsN+W/bDsV2U/KftF2Q/aQt8ZLr9niHwbV6T1 +uR78HujH4nU0tce+WPepvp366aCv/6f9VtjHWrpSP51fP/U7+WGqP8Dek2mm +ey3NtA8E/hIp8QK/kq3fHPFL/m+Nm/1iHHdmxzeOxjeLxqP+KfZHsf/Jrx/L +D/YvsXxIiLy3ckHjkCDPbT8cZ5Q6jmjjcUMcJ9RA/asfxu4n5ojdjnH6+qp3 +YLfbcapesf6mSrHbMU7Y7Rin/94HZD/r74jbceTIOKw9yb/zzb/jrb+TtfHf +4db9NfbT0PfAH+wPe97ZLHYH7A17D1vva8H+sXJU/f323Y3J1G48wTOkPusV +S+ca/2rvyavesXyg8bG2f9VLlk80ftbeg1e9ZflI42vtuU/0Xj5g63fBeUsF +zbeS2uu9fNaLlk81ftfON3qP38INNN/oulo91Sp2re1HYZyjoZ6lo2g9wPC3 +Gv34aEiXy5rJTzpL5DTWHXIa6wo5jXWDnMa62HuRlSKnLV7ZnzFR6Nqvx6Tw +e5+K/IGd4u28+WF/6t+A3eLzl4b95Yh8svEmBcHBrp36P2DX+P6Kw++pPwR2 +jh9veYgH9Y/Y+JGqEC/V5D8P5coHoR+2Q+WdiQ/pCP0WJ9TTOV4jvW8U5j8a +xoUsUzvKzwe/L98i/gRbHpNyP78Y8W2ulGM/b9vHpdzjLU58UyLldj+t8SEo +t3GWGi9i2ytfYl+KcrsfnRGZp5VfC2nciyLztvPIkfr8zgjwYOVZnPBeGMGL +lUeKJ8g/xpOVC4o3fpcEeLPyoJrmG8Wj7b+O6ELLbXxEi+hFu04q3wyd/qz3 +/+26NdH49X1M1PN4vofOtVTPop7Nb5J82IGwa+x3xkk9e36q562AIY98P7NJ +/mSTf3UlyRe1h3y9UpIfag95OqgR+YD9o/VXtpBfs0X8khYfTWRH6Pk25mft +Cv3dLNSH/EV9wKgPvWH3XTlSHzDqQ6+gPuQz6tt9p/4ul+2/hPovkfr2XRs9 +f0d9wJZOqqQ+5LmNy6iW+vbdGz2/t/ujWqnP+xPIe3tOXy/nouAT1Ie+RH3A +qA/6sPtp1Q9er+i7K5CTtv9ZUg65iHJrBzaRHcj7oyay+3i/hPf0V0m5teua +yK7j/VQT2XG6v4J/nvkZdhJgyCXYR4xv+OXs/bVZRO+zpL6fzxKpz/gCbOeb +L/UZf/b9Kj33R33GJ2Abf1Um9Rm/gC09VtF8K2m+lcQftVIf+Lf0VUPjSVD7 +hODf0q+ul41X0fXx9JVJ659N9JZP+C4ifJbR+CqpXPkZ48d4sC/0cicjGHHD +Zg8emTtV7I2eZ3zY/fBt9fdZLitedkFmP/09lpXHPpg7fmI8tMtLgnX/3Gbt +mgH6eyu9s0fvevKKiuCKKW9d8uiG6uDWus3XLe6nv6fS/4iaT28aqvHFsT8e +/rvnYvVhf43BJfffU/hpj6bgb18+OnR95rjg88t2Th9c8n5w7j7brNxnwuzg +7oviTRceNye4bf+Jk/d/KDv4cdZ2c2ed2rWPnrr8u6nvrAwOPmT3LcYfnR/8 +fMDQ/d+/vig45670Q9dkde2jb+9xVvu60uCOzwedf9LlZcHZ08fcdvxTlcEr +m+Xf/XhzZXDCz2+cPb9HbXDVwVPOu2lQbbD0wNqyxOBE0H7u96ufHZEIrjin +7+1bj20IHrnzjLs+XdkQtN5+709HNDUFO746crPCPs3B4CeKX/3mhtYgb/Gc +ly/urynyd5yx5YEPDG0Pjlu9zyF7pbcHi7vd8vlp6zuDceUXTn87pvdBp333 +wpppc1qCf/UYWntOVzp1RPrN596yJkA+/O+AS0M9Cvg2t3AdwSlD9+36TnOw +9e7J72qK/Lwxye+3Bm8PSn6/NZzvmnC+a4KqERVZT/7lteC5J+9Y+Mw1Lwa9 +d/DjueuLl3u/uCg96BXCt+Uv67P55BlS/sGKrVdO77VAyh8d9uxlr/5zUbBb +CHdef2Sfc05ZJvDSnp+OPfi95VJ/9Hcf9b/jqAKBn72o5cuKIYVSf/7pAy6b +sbBYyj958x99Dv5qlcBNzy8f+vOl5QIX1G436M6nV0v73xRfN/acxiqBh/XK +n1wxskZg365W4O1P2f2MbiV1Ak84NnbvHVvWCzzm2iHFB+3bIPBJV/TYatSF +jYKn3oSnXoSn3oSnXpvA026bwFMvwtNu/0k89fofxhNgpEc/kaT3JkmRL3j8 +bPM9Hhj9SpD7z8FvznijWcqveW9M34qaVoHBD9YObpb8jwaXdPFlY/Dg+swu +PtUU+edsdVrWlmkzg/2LH5hUvOuM4M7XFvV97atFQcWP1+2zod+iYOahLfce +useK4KCXnrz5pUuXB5tVjqi6+t3C4POXB5fuOLAwOMjJodKgvKzxxytXrArO +dnJodbDByaXVwQlODtQEOzu5UBMsdfKgLkhz8qAulEMNoVxqCPmyKeTTpmAn +J3fag3Ynh9okRX7azKTc6QweeSUphzrD+XUGE938OgUPXq7reybIh33++Fce +fuL1ma1N/dqCPpndHu75UEuQHG3j9x8HF3SNdkTNREmRf+OC47Y6/y8LglMe +ff3Lm0+eLynyP77kyouqnl4WNBasOf2shUslRf4/1p3aJacLgt2O2bZLbudL +ivx3BxR0ye3iYOA/3umS45oiPym8coaVB9cv6vfSI701RX7D8q9m7bJddfD4 +dgunLplYJSnyn+pxZpecrw0Gpx/eJfc1RX6f/i904bk+aFx5TxfeE5Ii/7pY +cv06gn5DkuvXIX6s3f565ttHdMnfP7vytqCvK9cU+V80Jte7I1gwoqZrvTVF +/pLHbu35ZvbkIPnVlfd8Kiny0x0eFwYNDq8LJEV+9/s+ii0ZlxMUHTB7wxZV +yyRFvsdjQYhXTZEfc3gsCa5zeNUU+U0OjxXBkw6v5ZIif9vez3TxS3Xw0eWX +dvGLpsjfzeGxLmhweK2VFPmeT+tDutYU+T/sNWnt0R81BlOeufPnxx5slHv/ +D87r/u03YzqCrP5VHyz9+6fhfjdd9pG7j3jphM4fPg6G7XP1Pd0XLpD9JPaN +K+9dWvJCF/0umPxY5usNy2T/iH3iC9Uv5WQ9sSwY8d4lw3ftwhf2i9gXHp33 +zHFXdtHvpNb68dd04Qv7Q+wDL+u155VpXfTr7Sy8J1Ue0k958NC1nzzc1kW/ +3u6qDvPVjzdmQpB2XBf9bpu44Lm9mjhesja4/ttbEvO66Ped37yx1+/66+8H +vRju49bulXF/oot+j3R2WmMYX673umq+eX/d2us1H/WQj3q/dwNvCxJvZd5U +OLgt6Pj7nVdkNTQHvUL54fHWEkx87oUjLl6vfl5v/8G/0hac/FnJvPu7+OHW +0K7JLdz34re76H+3sJ8/H7Hjnx+6+dGgl6OLzqDe0UmHpMi/yvFvRzDM8W+H +rPf6gZ/Xbz18iqxvllvXhbKeA15Zdv2fttB7qulu3fSe6gq3TnpP9Uu3LnpP +1dvDek/V470uxF990M/hrz447v27VzZfsFDm9eTxr/X5xz05AlcmVk8ekVsg ++Nv6yLuKV15TIvBvH9js+z5ry6X+BfNf3WfI8GopP6n7q+9dtm2dlC85bPWx +wy6tl/IbLjg4e+w7jUHvEJb36EJ9sEuYf8V+M9auOLU5OPPUFdv97fN3pD+k +WT/cfu2krxqCbV98ZcLAPZoi5ecd+n3vd4JpArd8uP9l15+ZJfApJ501dt0t +eQKfetP0e2PZcYFv+PTsN3tcuUrG+cQ3ZXMGt1VI+eVufDUyr7Yzfx7+5dN1 +NI6GYMPh6WN2OWF8ZHwfVZ+7w9ELddw/hPXQ3yuz9rmh341zpXy7NVOHTixZ +IvCnp91eO+bhfIHjz/60ZdMOxYK/DfGX+/ZPK5P+9t/rwIuGHlcl9cdklJ98 +w19qBT5q1YF5T32cCE4jvK37L+IN8IgUeAPcRHh76NZzevUpqBe8TzvlwzMe +eQB8mi4w5CVgyEcLFwgM+QdY5F0Iw78FGPIMMOQXYJz7A4bd5/ezuo9CCjr3 +/eg+yvNnZ8SORL92vl37NjP+/2BPUf3pof8KMPxVgOGfsvgtFBj+Jzu/1dRf +jcDwg//a1sWXd4T6qCNY5/SO3o9FuZeXneE6/Qc8Xpe0l7rs1EVJe6lrn+zG +0yr26sVOj7QFGWE+4m/GO33TGu5PmiP7j59aDr78gnXvBfVOb3VE3g06xemj +jtCf0Rh86cbdGI5Tf88D/V3+9InrP987Q/ZVHZedlnXnsTEpP6H5xp6bXZEr +5cHcRZPOPTUu5UO2+tPKUfklAj/t9nkVAqe7fV21wC1rR+wz84w62S897PZt +ug/r4fZpjULX8Kei/qjdrx70h9MzpRz0ifId3o03zVycLeWgV4z/z0d/0/+8 +1pVSDvq1+8wiKQc9Y3xf9R13w8zdy6Qc/lR8f6/7jhnR7eNKGp/uS8e5fWYt +zU/3pf3dvlLfr0e9/Qc/OvSAtzKl3tngj7D8ioH1Tx34RbaUw65D+aU3P9lU +vm2+lAv/hOUPTt6t50FjiqT8ZfBTWO7382VSLvwVlvv9fKWUC7+F5V8sbpzz +8+G6Hxf+C8uHtx510UH3Juj7Sgc+v4HKO0P7rjN44nc//GbrIRpPiniRTw7+ +x/fXDNT9+SX/PO/d6t3SpZ9Drrt9xQ/vpgmcOaTzhn8VzReY8Z6Wteew1dur +3wN4B/184+ijQMqBd5T3dvShfg/G+yDHX+XkR1G83+D4Tf0ejPesCeu/u2OK +4pnxfnneoJGjvlc8M96bHH+y36NB5BbkmPfXtYb+On231u8fW4OFzm+q7we8 +4/x47cFy59fTd2wnOHnXHtrV+s4t+uF3idEv2vG7xOjn3FAeb/52Uk6q3xH0 +BHt9a7cP6Qj9Pa007xbJbxv94oBzLn5T9OaygvP/cfBzYyPvrqLenW8dXPRp +D/wuh76zuu/zB3bJZ01F7xs9lkb6NZP0Wjbp93zSr0WkN8tID1ZSeS19D3Fi +7SSnOiP2Sap6Yk/PWdn44VWfCXzH3SMHNhR8LvClj5fGBvywQO24nNuannxh +scATd9nQY8W+OWKPLr76pf69M1ZI+ZfOXi0Q+HlnNxYKvLezX0sEnuTs31Kx +Ewc4O1T3JSucPVwp8E3OLq0WeJizM9UOXej2E7XSXw+3r0jo/JzdqnZpg7Nb +G4M/bLhw2DPbzJN5te94/ojLD18q8NsXf37z+vFqp897+7yRg04uFrjO7bfK +BN7c7beqpL33g6mdnu72DQkZx/Fuv9UY7Er7i0+P2m7i5ge+HeS4/Vez1E+4 +cbcKPNThoV3abe3mvUbKg+09/+zh5I+myMc4T3DjaJV+8tx326X8Wrfv6wz+ +VTfz22/GaJzWGUXT6+at5Hd2m6Qe4gJv3vucLr3QHnz+2/P2/l1/fV8WfkL4 +DfG9Dx2e1gT93b6mTcYVc+us+3rU38ml+i7rhV97Ptjiyr2++KRtlvJvaMc8 +l3vEew9c83mwbF7G727dIzvMzxY7ZodvZ791waWLg14Xr3ruh1NXCn/Djrni +ueq66gdXBJ9+saEl++gi4XecC/9x+813O3lFYVB4ysvb77ioVPgfdsz9f/rX +KcOvLw2+fuKAY6+8vFLkAeyYt8Ydcl3uutXBi38t/+3F6/X9U9gx1fet7pK/ +NaH80vsHsGPudnIvEWwx786/Fg7Wd00zPrv9j2+P0HvuyEc9yHHYtbBjYdee +My6pN5qDAwck9YimyF8X2rk2rrpB7F7okUtCu/vD0M4+M7S7cd44tunlT/Zc +on4XGz8XC/ps1bHvfs+oHwZ+mfLwPPL6N3e6NePjnODUXj+9eOxPOcF+P+79 +0zaBvs802PnP1E9jf4elJBjq/Gfqt4EfB+eX3n9WIX4c+HUQnzRvbUH2w+9W +B31Cvw78PC+H55seT3Xi54HfB+edTzo7Sv0+iJ/Aub7Xy43BgKfmJ0bObwy2 +ePTpR2Mv6ftJ2CdhX4R90vDQr3Vx6Oe6Pub3Rd7/3BIc7eyIjmAnZ1doivy9 +c655q+eDLcELt3x59p97Zyh81j4dQf9YsFcIl5SefkJ8cK6WT58aZAyMCzzj +p9/f+MOKEoHLzi595swbKqT99y/f9skLX1ZL+Y53/HRL2+l1Aqe9cvYPO3Tt +VwAfN+PlF44rbgx6Oj9elxx3fr1mSZH/yMzzDj95q2b5Dto/8vGYDa80vCdw +/Pver3QMyBR46kuTd3o2li3wt/sXX7Vn00qB9y//saDkqSKBf3/gS1/v26dM +4Ftu33/PWydVCpxdXrbvlfvUCnzFzwdkPHxzImi4J+vgx97V7876w1ZXX7Je +v7v5Xa9dck/PfIEP+fzQBzPH6nfP2Wz26O5H63fvOu/8BRdk6XeXnnvXPbl9 +9btX3fl597Vddifg9lGbvbHr3AaBz3Z83RHyuabIhz3o6bU19A9H/R+e/keT +vTSZ7J+FZH/lkL+jgMpLyH9RTt+rJj9CLfkZ6sk/0kjjmUV+jsX0vRU0nyKy +/0qpv0pqX0PlCYnLsX6cJdRvPrVT/8ttYVyMnWcV4aWW7NAE4alBYOzjngz3 +dZPcuUmXfejOUTRFPugAdOHllN5LlLiEsP/inOIHPj7gjQH3zyroV3bJQ8GT +Tct7ZuYPCV44dm7RQ3s/Hgx67/bfdDY/Fhy8ov60588bKe2HOH/QmqCn2zfo +e0VI853/f420Qz/IRz0vH6PvGyEf/jw/r+Zwn9sc+v2agzVOzjYL3aMe2qEe +2gG/3p+lKfJxzrR+4IadPrz1o+Cdpj889mj1xFDujw/yvryt48+r3hcY9dAO ++WgH/0XPrLP3/ObhecH1fe66pP6k+UJnw8b+9Ez8uDkCox7aIR/t4A9c4c63 +lobnX4hHXxqMqH3/hR9OXSIw6qEd8tEO/pGeT3y9w46L8oMbrlhwTe46fYek +6eQb27KPVhj10A75aAd/Sn93flYcPOnO1/Sdkh6uvb5fgnpoh3y0gz/Tn7eV +BeOdvVAufHaEa18mMOqhHfLRDudwDzj7oiq0L/SdE2+X6PsnqId2yEc7+HdW +OLquDR5y55b6DspAZ78pjHr8jgrawR/k6TIRng/qOym+vcKoh3bIRzvEuTU6 +e7IpPMfT9y4Grlx95OjxsyPvWwy+7PYbn02bGTR+t3NN9YP6vsWdYbp+zlU/ +lHy1KDhq5ImH3/POSpHHSAde9OiZt+6xIhi0Q7+Th18ffd9ikbPPCkO60Xct +kHq6Kw3PZ6PvW3g6XB0MdnZs9H2LPk7u1YTzjr5vMcnhoS54wOG9TeKzEP+8 +3OG5LcRj9D0H5KMe8s95Mnn+3wW3JM//ER/QFswf4fPHOTndFjzm5HYbxfXp +Ow39e5YHp+04Negz4rxtLtlV33v404cZY+fsMDXIeb/6qZHD9b0H1EM75CNO +EHa73x9lBTc4+zwWxg3qew9f1T/85t1d+f1u3HVkaYO+94B6aGfz8yLvNEzq +e0LGmQW5wdibO1+/4FJ97yF4MK128678oV+fVHzbtlof9dAO+YhjxL7Br288 +3B/EQ/tf33vwcQ3xMM5B66Me2iEfcZGIk8R9sLFuf7EqPBfW9x4aXVzEquAJ +Fyeh9VEP7Wy+vu+A+2MxR/8VwQDHH/reg4+rqAgmuDgLrY96aId8xG0ijtPj +qSY876gJ4zj1vYcln01b92TvmmCng/L2GpCn9VEP7Wx+9J2Gp5yerQvjQjXf +xy3VhXaJ5qMe2tn8+sg7Db0d/9aH/K3vPQx0+6D6YFu3L9L6qId2yEecKuJW +IfcgByEXke/jLRuD0c5P2xj80+3XmoOr3X5NU+QfENpn3h+LfZ++P2n9uO1S +D+1gZ8Huwr4b8gD7bPAv9tXYZ2MfDf7Avhn7aOyTQX/bbbn0lOtfrQ5ee3nk +8fd07e+wD8a+GPterAfsNNh5K748eMH8NXMi76LBjunn9MES8c+yXeL1QfTd +M9gZXh+oP4ftBm8X6HsSbAdMdHo++o4Z9Lpf7+i7ZdDTXg9H3ymD3j3u4ENq +xte2yv7Mxk220Dm8nlsOded7ui/DOelXLsD093Iu8vUx234zsupJ8at9/tZL +2xZ+PUr6gZ0Lu5ft0vrrdj74xWGNwXXH7HxQ90mNwd/LE4PTD/84uLNLC/U4 +87Og4Zlr9tnQb0Fw4zZL+r721YJgmz2H3/zSpcuClaPb7j10j5wg08mdguCH +3ZJyqCBY/XbDj1euKA4OuWmPLcYfXRL8lHhw//evLw/O+fTjQ9dklQeHuni/ +quBmF+9XHe5Pa0N/VG1wkvNr1AdXOD9HfVD2UZJ/GoOftkvyT9d+78vO57/t +wkfucQvWPbeZ7lcRZwQ9Cb355y2r+n5Yf47gH3zm/TTtEg/5YKjX4Y+Hnw14 +zHNxqXreusidF6n9j3Y4F051Tlax8Kr+L9+XIedq3Xt0DC7baqaU45wW5Sd+ +efEN5dfGBM7pPfrLnyZo3DXObVH+yFMPTLr9CT133nnS/IGv5EXPcQE3uHjh +uLTvt8+62CsPaVw2znVRf1sXP1wi9S9253SlAuOcF+2PdP3pufb97txO47Zx +7ov2H7nzez33Xe7wHj0HBjzAnTPpOfB1Ll44ei6cah39OV9DZF053hh+chuX +rOd9l7rzwaZI/uPunLBJ5od6KD8+Se/PNweXJ+l9bnPw477ze+y+ZXpw/j03 +DRq676fB+0sP6zMld35Q4OysBcGo9qQdtCw45PGkXbQsuNfZLQXBVGfHdMn1 +rZN2RnGwOp60O0pC/iwP+bM8KHX8WRUc4PizOng0yS+Ta4N3k/xSWxvsnNST +3yWCY5J687f1wZzL5+zVfWRjEF8+8v795jYG7dv6cR++/LERlX+dJnD5t8l4 +h6xgTi8PV12XjHvPk/KZ2yfPX+NSfvLpyXiHVQJf+Xwy3qFC6u/yVfI8tUbg +D3dPysO64Iw/JuPnF0r+qLokf+QIvOMfk+e6BdLvsW8l6btE4Gl5Sfotl/qP +/DZJn9VS/uhRSfqrk/Laa5P0VS/laQ8l6UfxgPzDXp793pKOx4KtPkquf7Pk +zwvToDU5n+agaPzUS2/a8x1p/1pekv7apH5HepL+2qQccr3TxVnWB0PCc0Hk +P0Lngk+E54B87geYz/lwrpfqHI/P7XBOh/OqD1xcW4PEwaHecHc+1BT0dedB +TXJuZP2BGQTHyO+VS+VxOs8tofoV5BerJr9aXVD6Rsk1O3fpge3OX3VMcW69 +wOPu3m/xd7s2BZdtt/9+i/45WfL7bJj9xb3ZTQKvnXrY8r7HKVwWpke9duuf +9rm2IRj0zN7ffFU0QfJfePf3t17+3iyBdxiy5OFBXy0W+E/r27JX7r5S4MFn +bL310fsWSf9DR759xLAppQK/U3zExVlnVEr9O16qPmWrtpqgNoTXufElpP5L +pX+/7qKHG6Qc+VmzMlpOn9AU3H351DO322G69PfIoEfa+nycJfDylWnHpefn +CbztlMS8sd/HBT7y+/sTTSNXSb8Xu/GvFviUsy7Ybe4VNVJ/5W2vf1T7Xp3A +17nx1wv8r5qxqzuGZYi//5XN7ztxmyF6TlH1rzcfGz1CzylefbWq/vXL9Jxi +5uq7t6lp0nOK1Qdv0e/wYRUCP+rOE2oE3mX1q5nXXKTnFO93q7xg+Jt6TnG8 +s98aBUbaduDtZ6ZNbghGvbP+kJkfp0XK/3nO9JLs75pCf31TpNyfJzQELf12 +v/vcgvTI+caV7nyhKZh++NGbnbjdTCk/8NC5y45MXyTwHbNqd16wcrnAFW6+ +hdLPFu78oVTgg935w2qBx7v5Kj5OcvOto/OHBul/rON3Pc89zvH3GoG/f+jY +e09a16V32/P7/twFX+jO8duF/5vdebjGORzk+GuN0OeE/bs/+eYOrUIPjzv6 +7RDY01O7wHmOnjoFznVwq9DfNY6+tP7aptaTfjOhPRi53dNvP9cFf+H4ZY3U +H9HzuNzfru0Mng/Le7nxtUn5dDe+ThnvgGE7DH8rt0PqZzt86bnb1W791+i5 +laO/dj0nc/TXSec7bVSu+4fvdj3j+MFdadEn697ru1bl7UR3/t4mcQk+PkDx +fI2LB2gVPfC4k89rNI7C6Zd2medDh744bvJwxWMPJy+1/F0nL9eQPFE8XVr1 +wz9uXtshcOPmv99+5MmK98GTTt7x+Ye1v3+673VKedOK4WmfZeu6vu2+1ybl +3fv0WvLtFW1Svth9X8fTz8njDqk/ZuC1V+6d1iF0fLXjrzUCe35VvPd055e6 +Lv3deaWuw6Ouvq5rluNnXfftXfvWyL3O18L7nyUrk3Zgm9wHvXV90j7olPLN +m5J24xp5T+I657dtDvevzcE2bn/dHNwVS9oPHdIP2qEf5O89JGk3dwSH9E/a +N+1S/vngpH2j38W+08YLNkscG/Kxz0Q+zgsB47wQMM77AeO8EDDOC215icA4 +L7TfqxYY54WAcV4IGOeFGD/2XSiHH3s32mfZ8S2O7KtQjvvxu9E+yuKjKLJv +Qjn82LxPsuOrjOyLLH5qIvsg2z4RidOEPwb1OE4T55koR5wm8AB/DMoRp4ly ++GNQznGaeBcA5RynCX8MyjlOE/4YlHOcJvwxKOc4TZzjodzen0wjetN9/urQ +n2XXdwHF82UT/jXuGP4syx8FFP9cRPSnccdnh/4slON9EZTDn4VyjjuGPwvl +HHcMf5blrwT130D8pu8y+vNYlWuQQ95P2BH6NTvCuPVo/CjysQ6IG0VcKOJE +Idf4Xj1gyLVNyb2KMf6eMdpBruLePO7R49487tEv++o/roe+b4M4O9wzxr1j +3DPGvWPcM8a9Y9wzxr1j3DPGvWPcM8a9Y9wzxr1j3DPGvWOsE+LIcO8Y95Bx +7xj3kKFXoGegd7CuPl5cf9/N3yvU98ex7qiPfNTDuoMO0A/6xT1OxK/hXiDi +jvF7cd5P3xn6yTlf/YG4h4h7iaiHdugH+YhrxvdwjwXxWN4eVjvd+8NB/y2h +X1F/Hw736nh/jHt2sL8q93+z5yeXTFa7OsW9Qamf4t4g6uPeIMpxbxDluDeI +ctwbxL4e9wZRv/e0OZcFD86S+n9u33z90TXqZxj7yKGDFnVfKfB9Wx9yRvqu +RdL+LReXq36GBS4ut5L8GzVivz7i7NOE3MtDvV96Lw8w7uUB/7iXh/5S3cvj +e4+A+4X3Juzv/SkdIG7+3JDecI+CfycMdIJ7ALgXgPjbBY5P2uWdFLybgndK +8G4J3inBuyV4hwTvkuAdErxLgndB8E7IftlpD9/y7L3B16+f88LatU8Fv2vf +8NHAgc9IXL61L8aLvVx8auysg7ZNJ/00V/ii+5mTpp+wYr6Uw45A+VnTvnv/ +kx7LyP7ROLlzXDxeAenPYim/1cXnFZP+0jg6H79YTvqpSv0ELp6xivR7rcyv +1e3vWT8maH/P+lHj8Ho4+78xeNyt15rgardea4JhTr6tCe2HNYJ3rAPwjnVA +O/SDdugH9GTn2RrSY+p8ocPwHQO8azDWvS/RHAxz70toinzoNy/nm8O4hujv +cSEf74HlOTneHJSP/WDlmFs+Cl4YuPPYQRd+KCnyoe+Hjp315xMu6Mo//ZIb +zlg7J9j8vj2H3fvwPDlHxLmifx9oSXDO+cdsdf5flso5Is4V/XtB+cG5Tl/q +OSLOFf37QUXBne79IH2XHueKZ7r3hMqCF9x7QnqOiHPFv/101EuP9K4Kpp83 +5LWcYXqOiHNFr19rQ/2q54g4V7zKrW8i5Gs9R8S5oj9n1Dh9r7+bQv3dJOfO +OIee9t38gd9f83lQ0ffZy/q2zZJU8kP8NQ2d/nUyzv6jSa+OTsbVI87e2yOL +g8+dPZItKfKB3wEuXic7jMPQ36/x7zetCH5y7zetlBT5wL8/310ZNLt4If19 +mwpn7xSG7z0VSYp8rI8//y0K47ULJY7fr3dp+D6UppIfrp8/Hy4NBjo6KJU4 +f08Pq4PbHT1USir54foe5c6PK4PrHZ2slvu67zt5i3dfNEU+1t/HE9WE8Qz6 ++xl+fRPh+mqKfNCHp4tEGMeg9wjwezfpbl0ny+/d+HVaGI5/WZC99IgT7xmK +3+suCPGI92hLQrzg/dnykB/w3mx1SP/4XdTacBx18ns3nr7193dG3HDWB8sy +JgU/hufKyeim5Dkzxol6GO9lLp5sfjAiPHdeEJ5DYx6od0c4n3UuvmypnEv/ +Jjynxjwx7/Jwvj7upiDYrrc/t54UnmMDD8AL8OHjaIqDo6/359rL3/Xn3MAT +6gFfnj7Lg8ET/bn3F83+HBx4RD3g09NjVfgOTnXQJzwnB55RD78v5O3X2pDv +a0M5oOuAdcF6fOToLRHeH6gP5b6uE+qtdfFnjWH8WWNwzDG5L1w9Vt/5RT7q ++Xc8tBwp2nm51hZc6eSc/q6Rt6s1RT7qoZ2Pw9X9Bd4dwTskyEe9GbVf96+9 +Ynrw8uQj+0zJnSr38hf2PzB+45XTJUU+6qEd4uQQN/fETpldcnNysMMuL3bJ +0SnBpEmlS3f+/Wfy/vuBW4yr3bwgK3j5tgHFt22rv3Pk49KyJEU+6qEd4uYQ +R7eto9uFQb6j41gYN6m/b3672zfmBeVuH6m/e+Tr5UmKfNRDO8TRIa7u0k/G +d8nlnGCPfjt2yencIKfXAWt67qa/m17x6vpZu2xXGLxydmzqkon6O0iefzRF +vtQL2yGuDnF2+Y5vCoJjHR/FgyzHV/r76j+vTu57VwXT3T5YfxfJ85+myJd6 +YTvE2SHubp3ju5LgMseHJSFf6u+zH+D0y+qgzOmXCpHjDa6epsiXemE7xN0h +Ds+/Z1UeDHN8XBHGnervu7/v7Kia8P0ulfsj3P5XU+SjHtohDg9xeSe795uq +gzHu/abqUC/p78N7v0BdsJPbD+jvKPl4V02Rj3poh7g8xOkd6eRGXWgv1oX7 +a/19Aq/v6oMPnL7T31Xy+q5eUuSjHtohTg9xe1lO3tQHXzl5Ux8McPJGf5cJ +dhDsIthJsJv8Pkrj+2GHwi7Fu132HS/8joL6/zvDczrAWyXDivosEPiiuy/q +fGDQMoH/4O71FNC9Ht2/jHLnluUCz3bnlro/8fd6dD/ymDs30nPJnd25UGNI +F+0hnWiKfMhVb6+3h/K/M5T/miLf3w/H+xid4ftcrUFvdx+rTVLkv+36bZPf +t8a+FfvY+x39dAQTHP1oinwvtzvCOLWOsP/G8N21BkmR78fbGI5XU+R7faa/ +I3lWmHr91yDrinUe4OisM9jG0Z2myPfx2J2h3tMU+f6+ZfT3t7wfqzN4wsV9 +tob391rDfVGr/C44Uk+XrXLPH/f+d3Xz7ghqHR7ag9EO3x3Bjw7f7ZJe4/Ro +u/SH7+C7GAe+g3poj37xHXwX/aIe7v2sCu8BQQ8OcvcCMoL3TlzVdOFx04Jd +T+i+cp8JGZIiH3rM2/2xUO9kBYOdHopJinzoof5uP5cbDHHvDOYF7wS5Xfu+ +XEmRDz3i7bJ4cLmT+/FgvdMDmiIfesDbZSXBg05urwp6OTleIinyIcefcnZZ +RfCOk7sVoRzWFPn9Xjhx3PRYdfD+03/ZkLNzTXCDo9ea4ChHr5oiH3LU03Fd +8KWjs7pgoaM7TZEPOej3i/XBCLfO9eG7hpoiH+9Ke/poDN81bAr5rFFS5Hs+ +aAv5ok3uceFcE3YR7CTQAegCdgzsGqw76AB2B+wQrDPWHXYC7AasK9YZeh16 +HuuIdYUehl7GumEdoTehR739rL9bCD0HvYd1wTpBL0FPYR2wLk/28HGrl6T7 +OFbgHeuQ5vhiTsgns4M+Dh9LgkscPrKDY9z884Mxjs5XhvMtCvcTReF+oSzc +L5SG86kM51MZ0lVt0H+Ifwd5faN/99jTUYL8b9NEv6RPeer2DybOkHJv32WJ +Ptrvbzc/euPQRdQ+T8pv2vD80q/HLCf/ocbprHL3hwvJ/7ZK2v/o7hOvIv+a +xvEc6O7v6vmo9xtpHMt77r5xDY1P41qOd+f5dZFzadbrfE7Nep7PrVnv8zk2 +2wF8rs12AZ9zs53A596wG2y8s56Dw44AnnEujnLYFWhv8Ttc8m8/bt0tPz/+ +ithNcn7s4oma1c8b7tM4fgDv/Mq5K/WDuAP0M86tp8I4h8G7wfLOVTjOVHEJ +s3cdl3nujq9KP/BLwP8AvwP8C/ArwM8AvwH8CPALYP+PfT/299jXY/+OfTv2 +8diXY/8Nvyr8rPCDwi96/NX7OT/ohKsucH5Rr/eWhnpwSehvyA/lQ34w1MmH +4lD+FYV6qSyUD2XBQrcvqwqudfu0qlCv1IbyAe/iJoJLnfxKBHc/tXTAE0+p +/MK7qoj3wDuq4Cu8mwo+wjup4Bu8iwo+wTuoeBcV756CD/DOKege75rinVP4 +H+CXwLsLeIcBdO/j7zS+Fu+Y4l1SvFMq7xeEdO3vu6h9y3SJlO8dgO7AN1x/ +DsX59U0R54f6/2/F+eGchs9l+ByGz134nIXPVQDjHMXGWek5Cs5JrLzoDPVs +p6wT2mOfca2jA5xjdARfODroEDsFdos/V9bfyfbvLTeHdK4p8r3d3iy/q4AU ++fb9pnrSb9F7BVYONWjcs4kD0TgpvLMGeYZzN9bTgBGHYuM6ZkX0th0nv/O3 +OKLHbVxLvtRHnBPrddu+iOZXFNHzgBHHYuNeSiN6357DVdJ8K0lPqd6Xd7pM +XE7ULrDjS1D/icg62/E0UNxMNJ4I9wntuPReCO6J2H71nqHFRxPF4Wh5clc9 +5I0JQXKXHZsySVLk9+/52s4fHPZxKJ8nSor8zva/TyredV7wj84zs7bs0oNI +ke/v7y4I8TBPUuQvdH76pcEzzm+vKfLHOP/9MvmdKqTI9++J5wfNzn9XICny +/b1cvPuTLyny/XvjxUEP54/TFPn+fm2x/A4WUuR7v35Z0N/Z3eWSIt/vP/Bu +UJmkyF/r9G5VcKnTw5oi/1q3P6mS39lCivweTn7Vhv4vTZHvz4tq5Xe5kCLf +nwMkwnMBTZHv9zf18jteSJEPPxn8ZrjfhnfVEeeGd9QR14Z30z09Fcg76d5u +KpZ30T1/lss76HgnAe+eIw4N75wj7gzvmsNe/cONx5QWL2gkvs+QezMvjvP3 +7Gx5TMpfqfP36izf58o9nP3H+Xt0tr3eXzrhLX9vzsoFvWd0RZ2/J2f71/tN +Fb38vTjL19V6L+kofw/OxvfVSf+Ja/29txnhOQbPU/YrA/y7tGiHcwieN+Cy +b/27tRgHzhEYD4DXfubftUX/OAdgvIg83N6/e4v+4cdnPAGu/JN/Fxf18d4a +4w3w1c/7d3PtfKN4BOzvmel9L/jBUc56Pr69f3d3bq//GN+q8n46yfnjT/Xv +8so9udA/jXKrZ7t1w7g/OKvF3fNF3BrqZQ/x94bRH+sFtL/oFP8OMvYNqDfi +Uf8OMsZ/WZ6PQ4fdcuXTyfhJvX+GdyrQ/orGpJ7ScrzTH7nHTO/94Z4yv1uJ +dypTvUvJ71Di3UnEqfE7k3hXkt+RBIx3JNEeKd5txDuOqI94NLz7iPzvbut7 +9Nf102R+y5bMumG7N/Td9p5XVU16NzNPyg9z8Xj6bvslLh5P322/18XLrZb6 +uW48eu/uOhePp++2XzWlR/6SxyZI/VTvYqL+L30XE+3xLibK8S4m8IV3Mf+3 +3lm19Rvo3l9Tynfc7fth9TRufsdc47nwzpqtP179POE9MPv+mcbD4Z04fieM +343jd8P4HTl+R4zfleN3xfidOX5njN+d43fH+B06foeM36WD/4Xv5TP+UY/f +kcO7hOx/QzneKcR+kN+Z43cL4VeQd9zoHUP431COdw3Z/4ZyvHOI7/M7dfzu +Ib9bx+8g8jt2eBcR5cjHOw74Lt5F5Hf6+F1ES0/q3x0d3rO0650l5a+F9y5t ++zwpxz1M+z6e4h33Mm3/qyL3NC2/Kd5xb9PSi/ovcI/Tjk/xvnN4r9OOr57G +0xB51xB8zXhL9c4g8Jbq3UHgLdU7hMBbqncJgbdU7xQCb6neLQTeUr1jCLzx +u4abwhvzM/apVj40pcwHDH2C3yGBvsHvzCwP4+Khl/h3XHDPHDDivHEvHXpS +7Ikwjh3wn8I4dsCp4tgBp4pjB4w4dtR/Moxj59+psXq1Re7Jb/83b1dI/DnZ +FTuEdoXEq/9CuwIw7AqMj+0KvDOAcvFX/Q/f0/+leprtANi7XM7vXW+cfhsi +v3tjx930v/Y7LzxO0TeOT9qCnfG+gqvfSvPWeeDdZsCXunuwbcE+ONcJ7X35 +3tf/cV+m73zzO+T8rjdgvEsO+sK75CjHvWSU4x4yyuFnnzVsvBsP31v2+OmU +ctyD3s2Mr1PseB/30CH15XcQzHqtIfy1EX12qr0QnhPY8tYU9NcSNO7/2RNz +u+CXlu00bXp7S+SdeIwb78SjHO/EozzVO+uQJ7h3j3kCj6iPe/goBx5BR6Ar +lOM8JNW9f7wLgPrA838Vr0zHco/avIfVEcE77P1/9el++fZHZgQ+jYkcqzpo +q8dfOyNXYF8eF3jWPk+1Xfx5CdWvEHiL3z69W9mKampfJ/D40Yv2m3xPPfXX +KHDee7+f8eWGZoHteGM0vhiNL0bji9H4YjS+GI0vRuOL0fhiNL6YjA/jwngq +QrmP8QDGeABjPIAxHsAYj+2vUWCMB7DFV5zwESd8xAkfccJHnPARJ3zECR9x ++T6+i+/Bz4XvAcb3AON7gPE9wPgeYIv/CukfehT9A0b/gNE/YPQPGP2jX/QH +vYz+AKM/wOgPsF2fOmkPvxvaA0Z7wGiPdqgPPxzqA7br0SjlsBM83tpEHgGG +PFk7IfsPJz7bITD48PWe83f/dkeVF292G1ZZu36K0P/b6497L7d0itDf2OY1 +N06fM0XoIW31pMPeHTdF1mt8/k3tzzw5RfCbnpzeLVMEP+mfV9x79flTZL7T +P379xLP6T5FxsHx4bVTtiVvsq/LB11P58OaId35o31zlw9tu/AtlPO8M+9P8 +ksaFMp6xbj4LZTxj79z5iQU5C2U877v5LRQ88DhYPlSPTQx57niVD7V9Fp75 +6KEqHxKjxh5y3+4qHxp6/nPrW3uofGgacWXrNRtyZDxN3U7Mu2RNjoynfdiu +n55dmyPrwHjgcbC8eK14XfbWh6i8eN3NQ+XFGxflf7Sht8qLN12/Ki/eXPbJ +c+u2UXkx2uE7LnTA68B44HGwPJntyEHlSeabQ5afNUnlydzLLj71d++rPJmz +82mfDXhH5cn8lf32O+G1EqFDpgNeB8YDj4PlT3Xt+i9eGqjyp9bhWeVP7Z/j +hU/2U/mTcPOuED5gOmQ64HVgPPA4WH51b77/6cIlKr+2/PDGb5cvUPn1myGX +3rp0VrXwIfMB0yHTAeA54ToArgnxAHjLcBwsD3d98B8vPn+4ykNPB3UiB5gP +mQ+YDpkOANeE6wC4e4gHHgfL20O/H3DlkXfVB1NDOYT8tFAOAG4L+RDw2yEf +AJ4X0iHgupAOAG8VrgPjgccB+O5zL9pl9kiV41vd+eaHVcVrBEaKeiPydqj6 +c3yNyHluh3zUs/o+TVJrh2SSns4WGP5uwPB3A4a/GzD83ba8lvR0guo3CGz1 +r/6uE/KBN76fi3zsCxh/yIcdzfhg+xp4Qcr6CnhCyvoCeEPK8hp4RMryEnhF +yvIKeEbK8gJ4R8r8inVAau24TqEjpMhHCrxaeyxB9m4m2YPZAgMvgC0eGmXe +dr0rqVzp6oV5V28zbtUnArcv/Mcfhr29QODjB4/7V8/5ywQ+7d66O1f+vUDg +G+fc92qf7mqvPrPlbz6/4fVygT++8K0uzaP2YVPua0nNI/DQtVVdmkftuR69 +Djs4665GKlf6nnDF1Fcm/S11PvPDyEEP3XXuRfcKfG3fkts/aH1O4NjJ05Y+ +MO9dgdcfe2jn13u98V9ux9+HXWrnr3zb67jbfn7qgMag/7Wzz+25ufLrddkv +ntPnbIWf2GH/O24oU/iyCeffedm/miLf+9tHpx2++yNTBa5sSew7dPx0gTc/ +9oEzYyfNFvilL+IXDNnxc4EfaVxUOTah+7+TkuzxTZbAOenX/e3L01TO7dhj ++7uzjlgs8NKHWg45eus8gR/ffcABN+y1XOBdT31y2lM3rRT4qjHHzLrs4hVE +P7rfqi/+bPrQ/QoF7ndL0U89fq9yNP7GbzdbP1vLPb2tEnjrfU8vj2UofMmU +vx542apSgb+umXvwoAsUznf96f7oCPe91QI/8P23Z4+9VeX0Hn3/eN6Iai0f +5uiyRuCJji4VXu5Shd89+e8zmz5XuKejf90PDXj4xwNXTlPY04XqgaMd3Sg8 +1vVXT99T+IvWVeUDX1b6yxq+xer+f2gIzjjipAXbTf1A8g//7JFPlm8xUeBp +p9x0T3raHIEPdebZPIHTjvrT5s33LxH46qS59txSwnM+rUM+4bGI8Fws8KlO +7qi+fPuM529v+kHhIU4OVQk8b+Ter/R/sYrmWUt4UNjzk+LR85vCqfiW+e+/ +y8f/tw4bX4f/k2v/J9f+K3INcEV4nrNxf3Aa+VvZvo1JvCPbs9bOjUfsX9RD +fCTbu9a+K4nYx6iHeEq2h2EPws5l+xn1EH/J9jLsR9jBbF+jHt4VZHsa9qa1 +n9X+Rj28O8j2NuxT2NFsn9t6UXuc7XXrp0xE7HbYwb92uxf7BOwb7P5rlNDh +jPAcEnSFc0jQCc4hrX++UNYR55BYF8RVAs84h7T7nDrZ3+C8BnDj9hNeerRe +9z+9vrji7sf21PJTTmn717JPFO55RdKQ1vlZPlW+Yz5ivmA6Z7plOmS6YroB +neA9S6TIt/vddBmflRNxGS/Gh/FifBgvxofxYnwYr+WP2l8dnqw8HUX7/Rky +DtAnxgH6tOdFhTIO0CfGAfrEOECfhY2P5+1QpfjY8MrNV+3fV/Fx5qRPF867 +WvFxVm3SYaX4uPWOfZb+WKP4GPldUiAoPj576qaj3t5F5VbLM0/+/b4Sxcf3 +F16eu+eB6p+y9IA/PWcAvaME5xTg/42fE8ZIn+VSudoXfI7E5z58bsPnMHzO +InTWZTUM3O18gdOc3/QVgb0f/j2BhyfRdPirgo+RXVr+5jF6njKnS8v/9mmV +X7XOD616c3KXlTH5qJmybi8OLNz24sfVr3/Y0Vt/vNdVKu9mOz+s6s39bthr +zP05Sm/Fg/e4p3Oq+t3vG7TtqvfvVvno/ZArBb5l6F+677JB6fPFGZPbf3+v ++sWrXary9LCZfXMOvUX15qpzio8vfUPpecrpScWi8ra7SxW+YG7SEC0V+Pui +pOFZKnRXuOKbSxMfql/5cDd/ldf3Zh3x1aePqN7c281f+eWfXbuJt/ZVeT7B +pQrn1l/++++6K12/9/V1h9VNqQmeG3zNEw/PUnso4fzhkwQu7rK+vluo67ZV +l/U1N32+wBmOf5bIupw/7O38m9qXCrzB8Y/aK+efseLhBzZT/tyv4rtHbpuj +eP278+sqv55xc9LgVnvjdXdeoPx705enNf5mjeIl09GJyrfFwbrzf3umznvN +kS23nv6GwiVbLhoff1nl3eZTJh5Xvzoq//hcGnakPZ9WeFjSTT7kfTqvThP4 +nmlJxL1P59dpAt/m/NXv03l2msDX1791+TPbfkDn22kCX580w0//gM6708he +yCT5rHCukwdz6Hw/U+AlXdx6yTFz6Lw/U+DYbq/PveXCOXT+nylw7AC38BE7 +3Z63Z9N5u8If917+bOagJfI9a1fXBZPGrOmSyEvIvskWeNKBO2cXXLmE8BqP +2P34nvVb10Xg73s/99ARJ+VL/ygXPXLV6N8cE+SnXAfeJwC29loR6UeF9/ng +yCP+UVAUoTNeV+ufr4jsM6z9XRahS6YDXhf0x/sOpvNUdMPryHhGf7wvYT5J +RXdMB7xOjFf0z/sYPk9juwl2g13v/7lzAMCIo8K+Yy/HdnoedH63uZ13f68w +2qWSi3Ke4+TD1QJ7e+E9odvHHjk0veGFGwSe5M4Z3xM66/7T0mM/2fEmgTP+ +lTx4HSd08uTDt3XtxG4RePY/h5/VMX+crHPzj8nv3y7wouSx59PjZF2anUK8 +S+BFSffTReNkPuseTo7v7wIXdc3u5t7jZLwjrk+b/2qxxos1uXPQ2TLe4bc3 +/TDxC40fa+vaRR69eLaM95GHnMNP4DVDnjt+z4mzZbxDnf00VeD1SfX8wmwZ +79CXkwbJVIHXn5dcqNnB3Q5vl4m8HOvO/9+LyM/nnD2m8SHznD2mfPrMiqTD +UePJFmQlHW/KdyOcXaDxZbFBSxbv+jflmxHlj773zBKNN4vN/GDCNtdkp6QL +wN7e0Lg8b2/Mjsjbguuv+7R7vsYJbJu0qseslPGsdPsCjSfpmd/WtUNdKeNZ +efsHrXu0a/xZz/OWrR39+MqUdLmpdQc8MvbVYVe/pPEec9z5d1Rej3T2rMYR +9HX2nMqVkY8mFbie6/ft/Hqv3pcWpeSLTdHdptYdcKGz55ROtnb23MqI/J+c +PAXbY5XAF5747O+ubyhNyZebovtN0d2m1h3wC27/pnRy+H1Jh63ql1RyYVN8 +tym63xTdbWrdAU929rLuey909rLuA1LJrU3JhU3x5ab4YlN0uSm6AFy00zaJ +5o+Vju55bM+/TnxQ9eW/l7uN/09z1x6kZVXGZ0QQQhrQoibu1ICZTJZFg1Qf +LKAzEohmCs4wQwELkoWIFFiWgCK6IKmECKKkIjeFdRdFWIVlWQKW2+6yNxbc +y7fcKgVmYkRhzfZ9nn3Oz/N7O77MODn+9c7vO9/lfc95znme5/dcvtQUsZtz +HW78ad6DVbdtdniW7E/ktf79e7Me/c9w6M89UXrJeeSZto/U2NQDDj8m+xf5 +K9c03U2Hn0G/rms7d9iKHpUOjzj7+5w7a6ocLhU/E/kt6mdC/14QvV/nsPo7 +0Me+nkaeRrfFUeLNUfocxu+ZFz34MZdXbfpa/VLo7w+EHwE2Hs9wnqQfAWeJ +3wtsV/6dMvF3gS+V/Jrk+0j63IBvzXsxdzjsk0zha4A1Xy2eX2F8peN9pz4/ +esDdwJvlClwz4Wvtl94EeybnrUhw0jGesz/xmG2becwQD9qReFDfbqsLysVV +kvcUlpPuIg919H2FDs+kffDDdv3OHWqJ8Z20L66MLl13OOzzx8dTRbRv/hxN +59UY70D7aHQ0nYP2k1170OFHaZ9pfiDG+9C+Oyj7CuPGDxp+lfal5vcB30L7 +9NyySLEDG79ouIT28XfkfjA+jfZ1pxPRQXQE9q+XlxzP4zbs+0XImzbs+yHI +czY8R/Q9x7HAsykP96K7Lxs3rPxpHo2DZzOewucxYP8cELnIo3HYP9myLjvJ +nwUPZzwH11kwz8B1DobXCU+4M1Z3YLhRzpli+jx4PONRuK6DeQyuq2Cegesc +DF8QHq+YPg/7pFvXKOBcRv4y8luNx/H9V9SdGI/ij8M+MZ7D96dhnxgv4X8e +9klX4RFhn9j9Gc4Qfh3+NdclGM/EdTHM83BdCvMwXCfCvAnXcTDvwXUXhjPe +2zqicCz8d66jyOx767R278M+4bqIEZH5fz/zaKj72RyZ/3PeonGcyy9HbvOE +nXRO4pz9QM6pYvo8zs3Ocu7gnLTnMzzg2pLa3ZPAB3BdyDjhuXGOcZ3HYImX +QO9wHYf/u284/BHZZU9Fx+fZjfQ7sF8WSt4vvk/5EeNXc1wfNMMaD0AeqvL/ +GNe8f8T9lYde6fha689guFL4deSt3it8OsY1n3yrw5OEV37bnbPWz8Fw7scZ +HRa0BL5E7BrgocKr7HJYzynw4qrPkQcrx2Bn4F4/GXby+78DHjqn9vI/tkae +QM9fVDZ5SuDVrV+E4R5iPyCPdqjYFxhXexJ4iMgBeHf7vyXDg8VOA9b8a+CF +Yqchj2Ci2HHg7a0fheEJ2VFCE/J0/yq8PsY3SR0AcJb4fTV0DiFvYMhzdz28 +agDwOxEtcgvw5MhNXgJcWZDTdLIjDmD9LgzfMa5/7c3zgTVuANykNBoz64A1 +btiQmid2KOS8l9h58fiyL+8FsTjMFvE7MZ6muMw6OfdXOvkyeTfMcZv7Np54 +c/GvMM5xnIkfP9yza9stTr5M3g1znKeF7Jdw3OeC6J1dTr5M3g1zXEjrAMJx +IpVn6HmTd8McR1Jes4zktZzkGfF5k3fDHHea0ipKBDtE8lpN8gw9afJuOJPi +VFrHhPHNFLd6TM6/GtJbkFeOa41us7yyy/BwnEvlGef8ZPKzDwmt9TrlPyH/ +4YAcUK+Q/Yt8iEZZ73zisYFPR8s7L5/OK+RPZIge2+3e748fT/0oEofXdrv1 +43yLIbKeJe79fl7E8dRA+f4St16cnzFR1q/cvd/PqzqeGi96tNytD+dzZMl6 +VZMeBVZ/qNqtB+d/rBdeBXrZxn3/B+OWt2F44tWRA1gfq4PUdYzXz3BcwPxw +ez/X0/D3VIhfj/fx525vOq3uXHqa7g/2gMYTjiXGJSxPoZ/kFeLq8nL/tqeq +Qxv87pimU/SKAadj9Rqh92WLHsdz1ckV2NlBZOd9M1qOE1scXkF23qjoeFu8 +y+FzZOepvwrciew89T8hfymy856ROizI11iy894WXhryw3ae6v96yjvLaT6X +YHepXsK4n/dT0GyHwa5SPbHRYeMt7BzZJPwT6oN6yLoXkh7b584VtcsOOKx2 +GcZ93sH0COyeKoljYdx4BV9PVDl8Qew0YOMNfD0Au6Wr+HcYN97HzgW122B3 +9BC7DePGY/nnOOyK6zqt3tzqAudFxnlBf52BbZ+aPPt5RbMcXtz2G69/nDHF +4ZGDWt60+0xW7H32up/PuCfFPMUJiUuscetURjxEa+HNtwZ5hOGyP3a5dWA/ +f5isW3HQz75X1gnn9UDyY58WOcd5PJ78wDyps6xx85Z0TjDPmsRjhnhYfz+G +8658OzI5z8ow55GG8qoMc55pKI/K53+S86YMc55qKE8qlMcayovy8wWS86A4 +DzaJNzasfiryznU+cT4ukHVFXnlvmQ+cd+qXIm9c/VKcbwvEn/hE/bjcD86z +HJFLnGctxA8FLs+KCiSQ132VxMtwXkm4rDPOo97idwJ/uTQioHD+9Mtvl1uW +B5wUtzC9oXKxNKhXNA68xM2b9WEL6RX1N95086jbYEdQr6j9v8PNq/U5D+kV +zSPb7+ZZ7dmwXmkh9gzkWuWuis6vKtoXkGvr6+afZ0doXxwhvVEX1Cubfrno +/ju21pHeCOsV3RcNzj6y/0M3PEt4VOAZ153p8VKfU25+7dwy/BDlKayROPZf +gnkL9wtP/JSbf84v5rwB9Y8xnqY8AvWPN7r14fxkjuNfLfw/xjmu31Xss0K3 +fpzfzHH1aeJvY5zj7Jnib+8nXhn5pBznrpM+CBjnuHeF7PODbv05v3o9xZ21 +bwHwzRSH/lD8OcR1OT/7IMV5vy1xYoxPpbhvF+Fpj7h+jLbv1U/b5va1ylER +2YPgvXS8wq2Lygl4J+vn6cddsp29Yr/n20FFDtvv+ePct6ea8q+5Tw7qQaw/ +qGHrB2rY/CTbV/7nTrpzk+sRjV+1/ov2uvVf5Per/G+gPPPtNL6XnrOUnrOS +fv8wzVMdfV+avu8ofd8xx4Px/SY9F3/O+C/Dxl/591NM319O33+I5r+G7ree +3t8Qm1fTW6F5Nj0VmnfTS6F1MD0UWhfTO6F1Mj0TWjfTK6F1ND2StK5+fUGO +8yN8v3AD8U3biR/fS/u8lPY57EZ7Tj/OBf1nz+H7jWsd3itxtlcoTrPW4UVR ++Pv5V8keAJ91Xvz7fHd/fl3g4dTAptkom77b3a/xU4YHC99Y4u7f+CfDE8Q+ +Kad+W/BfsiRvpzrG2/FzMm/nP2f8uZin87//MNUnxZ+beTr7vH8+55MdFJ4n +5u3850vT86WpXipN9ZbxeWZez77fj9Pnk12122H7fsP2/aF1Yx6Q5Y55VOZF +medk3pJ5SOYVmUeskt+H3+rHFY/F7EKTo9mUh/BPyatbA7+A4qjdd7budb7/ +aidXxZRncLnkm2x1csN5ACOitLjiXcE4/HCxlxH37kJxbvUbsS4DKU78tPRd +wrwxr6J+2DGyS56kOO6TdH69Qf5Bobtfn/dKO3vQ7sflwyy/5cJ3v/KaO18P +zT636OwPgF+OwmbrYN/0lXpX4FNiRsLe0fp54Gel7p/rYaF/8qXun+tjgbX+ +HfpG62WBtb4d9pLWrwN3lP4L0Ddanw68SurToW+0/hz4euGHYV9pfTmw5if/ +2Okl5VeecFj325kYX6Z9IWCfaF1vnDfr1rCiacWWOzw9Shd7ZlHMvtH+B9CT +Wjds94n71Xp32D1abwys9fFxe2/ojiXzbxuNvgof7Y3SWF4nOUDdofZBKHRY ++yigDrGD9E3YR3JQSut8kOSgktaZ+xxALs5KX4MjJAewQ9rJfNeRHEAutC9B +muQAcqF9BzDf2o8CWPsUHEu1zHx37kNT0KdjwrSiJs94dWx+P+s6Jf3Owqht +3kz0A7kxSov+F/qBXCF9KWDfap07+oFo3wnu/8H9QWBHav8P2MPaN4L7f8Dv +0f4gsCPnyDlQQ/PJ/T+4Pwj3YWlIlNueHTvXzRmFfiCTo/Tw0xsvWq61fwf6 +gTwo/T5gjyfJ/UvShwX9QLS/COz1pH2h/Tsw71+SfXDx+0bXsYrWGThpX+k6 +v0NycPH7TvcR1lH7fVz8vtR9gnXXfh+ffd8avvmD9qUdF6H/g/bJQf+HFaIf +0f9husg59J3qv3Jaz2paH+grPccxH6oncP/av4z1T7jOOqmOOqlOOqkOOqnO +OamOOalOOakOOSlP289/LKB80D2U31hK+XIVLj/O9xMPk59YS/Z+mngu8NnO +LiC7QddtZtCO0DjN7GBcVfNyl7rn5Diq9jXYFIybTpL4EvhsjpPmCt+HOA3H +RTX/hvNlwE9rPg34aY57an4M4i4c58yd0f3fs89h3TmuqfkrDe55OY6icr0h +GFfROBX4A46z6HV7MO5SJXEo8A0ch9Hf3xuMy+jvg5/gOI1ew3GbXIkjYR9y +HEevwJdQXEfjutiXHOfRK3Bvivt8KP4S9i3HgfQajgstuPbx/dePx/pynEiv +4biRxt3S2F/EC+t6IL9T5Xt98HXDJh/MK2t+Jfo8qbxuC75u2OSl7wuZI38+ +BLy05huh75P2yS4Kvm7Yj6uC175R8heB75F8xZLg64ZNnpgXnyT5Nsjv1L67 +4dednDbLF/PqqjeAtW90dfB1F4/0+tmDl1c9A6x9nsOvc3+pu6J0g1KcN01G +0vZ/NNQHXzds8vcH0VNHHb5S+iSHX+d671CeJ8fJrI7D50MLSN4LmvPnEKcI ++fkmRybfhm8QuYOfH+IBfL1Z5LCev+ABQjyByYnJr+Ffi1yxHRXnEfw6jQqS +rwqyu+I8g19HUU3ydJjstDgPYXJg8mi4TM4V2HUhnsKvE0Aegdo9sGP/3zwG +94k2O9N4J/ZX7X9/7X+OeNzyiox/5HH+3BfFzjZezV43Xs2w8WqGjVczbLya +YYtz+t/H8RGOh8T7dX9R444WV7TXjcfi++e4I/NY7HezH81+Mfu57LeyH8p+ +pfmJHOdjXoTjfsyLcByQeRGOCzIvwnFC5kU4bsi8CMcRmRexuKJh40X8dQ7x +hidjdTSfXieTE6uTCdXBGOY6mFCdi59vllzHYpjrWEJ1Koa5TiVUh2KY61BC +dSa+3ZJcR2KY60hCdSKGzU7Qcwd1xKu++sIlK8aduug6Kq4vKaO+eZpvud6t +C/fRU/8PcUHuq6f+K/Q/99mbIuuEON8k6run+Y/Q3/OpD5/+7wfibtnUl0// +d6OW5rGe5rne/b8d57vz65oPhivz/cwz6nmI/4VgHlH3HTDzhNbXJ8QD6j4p +o3Opis6lQ3QuvUPnBjDzdPz/AMzD8f9QWF9MXx89Sc/7+etdi4f6zwU7w+Kh +hi0eatjioYYtHurPI+bJ+jqF5sXsqv+tP9fS+n/+981xK7tynIrzVjhPhfNS +OA+F8044z4TzSiyPhOMcHNfgOAbHLThOwXEJjkNw3IHjcEl1p0l1pEl1oUl1 +nkl1m0l1mEl1lUl1kkl1j6afnpO+P6eCdT2urkwWHnKnGPrKXte6JVxZXpeJ +/4OrvW7rovOa7a7MB90gz73NXZnfUf6wyF3t9ffb/6bfvkbMz2UL+1w6OQN8 +gK1bY98FbVJFn9CHI4feOvB2+LdHZ1y2dFAa+m7k0u0NQ35bm7pz2+jsyx7B +fDxwzbJlFVOhjx5fP3ri9E3vxfIDz7xbN+a+fSdTNy3v2SV7JZ63cMufFmyY +iOcb2+fu9k88gOex73Hf2/w9/nymU4+0GjPz2Ubo1+svnVTSOgP8R/bXZ/ce +MBf/v2f3bfNg82LzYPNi82DzMqp5Hnx+J4eeq8A9lz2HPdd/Ae8SCL0= + "], {{ + {RGBColor[ + 0.10372206117797761`, 0.10436141743811188`, + 0.10500994850363238`], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJwtUz1PVFEUHAUXin3L8pb30CzvGbQyNmhiIygJEBtjQ4tCIFYUGg2YSAEV +fjQKzXaoSPzuwETt1wZLlkSJLg0mklD4D3SGucXNOXv23Dkzc8/rnbo9euso +gFGeFp4frUCdySyL04zfW533VYCzKTDWASzGwFPmQyVgIgIqBd9b438veWqs +32RcbQd2WG9mwBz7dhnXy8AS7z5nz/VwT/iPifmE9RHW84Lnav55zr3A+pmC +/xPeV9abRSBlPsF8i9iTRePsM19gfvUIMB55hrAake+pHyeB4QToYHzWxhp7 +zh0DLlf9e5BxnhjXiLHF9jeZsd4yvsus+T3jRmp+4iZfxEPe1QMn8dnL7cXv +3Jw/ROYtPsMlcxLfKZ4GzHsh5PJyPGgWljSKz93c9Tu5PamFnkOMyBp/kd99 +5j8z65Pf0lgJWuvBi0Mu8FtdaTcf9ay0uW867ILmaqY4Sa/8OYjskXjNB261 +0CM+imuhX1jaF83d4A70pu49ldmX04xjXcCnTuNtsudEYg2XquYzwPiN9ZHE ++6Q9uRH5fbWPD2LPkNahoPc4e5tle1BKfF93v3DO5057tsm5c7H1FPmeH9n3 +t2Rc7Y/0L6fmLc7bVXvVqNov5fJSuyzvpFG4qsnbHeI/jP3e2vFHsd9tt2x+ +4tad+NsQ9/4e4AUxLzK+zqzxVWYuqmuO/F0N79XDPd7m/X/chxliz/L84Z17 +jOtd/ib+A4hqjaw= + "]], PolygonBox[CompressedData[" +1:eJw1krtPVGEQxQ8gsMXu8thl8Wa5S8DKUIAFBe9EjY2hoSJB2UCoIJFHoglb +YMWrg2joeIWAKJVaCD0U2CIJoFkaTCSh4C8AfsPE4sudx7kzZ85M3eBoz5tC +SY28B7yRQHpVIvXHpE+h9OGhlMDP4n/Gf1spfU1KLwukf8SaU1K8SsphPwbX +FfjX/Dz4trT0pFhaLpU6sL+EXuuUZi010hGxbJH0IiIdY89S/5T6B8SexaW/ +GWmoTDoDP4ad45+bcnL0VK20HTrXE/J75HYrpF7yv4gNRqVH5PNR72G9WsGs +RXxGm7UB/jv0OwLfR59JYllyK/DtBL9AfhpOT+GyypvBPgG/X+Qx63WWdK7W +0zgYl9fYW/T+iH7rEZ/hAv5daa9tmpg2Oeod8n83el7F3I4mpOu4x0zrd2Au +Y665aTOP/zzuGgXocF7unCfB/GD+MfwpZh7gfQM/xHsf9RqboXPLgN8OHPsz +6b3tn/a078p2bru3WZsSro3NXIcew/gb+Es2c9p3ZzParKZlX9J7m6ZzcF1M +OdY456vBxHwn9aHX+p7ym7GaefhUV7nWNpNx36vwXdoMdgN2C/3kJ7DHM27/ +v71b/GP+T9H3N/X/hK7LvT6B35zdnt1AG/Ydn61u/A== + "]], + PolygonBox[{{7643, 4630, 4298, 3449, 7645}, {7647, 3450, + 5444, 4350, 7290}}]}]}, + {RGBColor[0.16675207, 0.1782183925, 0.1898492575], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNlllsVVUUhjd4e3ux9LYUWnq5PW3EB00gkSExUQSUQYOmPqiPDiC1UVFU +4gy+UIIG1KhAIDghthWHKEKLYfKN+gIOAcSEUgZb0AeMwxvG4f/6r0YfTvY+ +++y19lr/+te/zxX3P3bH8tEppUt6LtPzcD6llcWUWitSmluf0td1KX2m9y80 +/07zXZq/U0jp9OUpbZHhqTGen8h5PBPzNtlP0nySxt9lc7EmpT4d8KbWFsr+ +4KiUFuBH9vs1766SreZPy2dZZ52pTWlx3mvsYX//GJ+n6fBZzEdiGIj1e4q2 +YX+N/ByRnxeq7YOzWd9R8t6uLKUNjSkd0MsN5ZSmKYYhPdfoOaUcJuQdM/H/ +oWe7cumR7Xyt79a4tcZ5sT5X722yeaLZ+ZGbPg3POZf3XyYI53EpdY5N6XzB ++JRke0pxPKsYT2rs0PtqPROU1yH5m5I3Pidjzz/y/3xTSj+DndbOysdPBePW +Jb9DBdvO0Z5OzWdr/LTo8/gGNtiwf0D+u7T2lXLcWbR/9r1bcB2p84wK+wEP +7MEI/9MCJ+acj0/yxw57OLC0wj6oEWvMwXpjo+twrGy88QUO5LpKe3pzPg98 +n5Ht9CrHxR7w3hpc2qyYO2ucB/lc0J56jbuL5ilxLYk9U/Meu2KOP/yO5DQ9 +Ypis2HYKhyrh/IPiW0QuGv/Oue49OePF+mKNGxpSWq++WKhzik2Ov1pjv2r9 +stZv1np7zljtU84r5OPOvGv7V4Xfme8RVw/XuVYLtPZSpfLU93k6e5vmN5XN +4a4q82FO2b31nHjXK9t59c6b7/QSeHwrfzdq/XOtP6L9e+VnmcZerf+m+F4s ++hzWd8nXJuXSW2tcB5tdI2p1abT5y7n0BPHM1P4/x5nT8Hl0S0q36qzaFnOM +GIiXWmKP7UHx9SFh+6XGdXpu03y9xvM66wHV5UKzcydvcMYvGFNT9OStSvPn +x8w9PZh5HZ5Ruw8y826ZMPlY88Xa80nmPOkN+uqWovlCDTsDJ/zDKTgHr35V +Tj3CaG3Rdb07+Aa2nYE/erB2RBNyjpn60r9rKsxbeI9mbdZYiPX+nDEHb2yw +fz/2bw0tYX6kzpyADyvzxoVzsEOj2yNP8r1efBsM7SoFJ+BGv3K/vdbaTT90 +xFmr42x84eftkrk4pdH5dQUuk2TXI/ttRXOUb2B1WGtN+rZK+J6ttV6j1anF +uoQ+UZPBiAcNvq3eNYMPgxXmRF/0AL7BGJ0FZ3plMPrlG+Hwfb31if5bGThw +P50LPDOde0J7RrX4vSP08w3x+ZU617xxfEoTx/sMdIY4qONA3Cng2J35fW+T +8yFveI4Gwg3qQi05n9jgF/3AN7hMXvid1WS9u07jvXnHjX6gPWgQ/QXf0V64 +CMfBAmzvqjYmfYH3oYiTXAuRLzVjHNFeaov2oStTQk/eq3QOxI8205Mj+nw6 +tB0NRPPhCncU/Uqfg397+N8SOZPvAeHzoPbv1zhTWF7bYC2lt/hHQEup29Lo +Bbi7M+4eeNcR3CYX/JDP8Wr3IhjA69bgJBrMvta4Q/BJ718MnmwPHnM2ca5o +9t3/uMbJme/egYnmIxiROxh1jzXO1GFJ8b87cFHcg+vqrOn0/at15hD8OVr2 +XX5l5pqDK1zFX2f4fL3Z/06vaXyq2f6fbHasaAXxHg8/+KO3NjaYZ/sqnf+u +qPOMwGpbaNDM+J9qC60Dj7bA5L6i72hs0O/JDeYYue+Oe3BN+MVnT4PrNzW0 +tj34TJ6bA5PW/3EN3R3+n9Mzu+z3WWXHM/wfU2HtGYx/gulxpw9FD9ALH2Xu +K/prR2Y+jNTwaMncPVZyngtDB+AG9yd1ebRsjJaXzVH0gxpzn8yI3Ojj/vgn +pN/oU7jbHZoGv89loVuZMemIPAcyc4T/OPC6EP9UvSVr756S71HqzTdqTnzw +lt6Ce9jTt4eil6nRluid+WX35IKyOcr+IY2bCu557MiFWpLPVU3+drXGDzPX +mX9V1vpCM2ZFLeZq/BflcMbh + "]], PolygonBox[CompressedData[" +1:eJwtlElszXEQx4cuHvr66rWvfe17/4o6kLQ3iQNa1VqCcEAiEksJQVtEkYhy +EUFqCYlyqajETixdJKp1dbFGqxK6oRon241Ifb4Zh0nmNzO/me/vOzO/KZt2 +rdg51sxWI6nIiahZSa7Z2ojZgkyz5iyzuTGze+hXM8zWcP6QY7aQc08YX8Ks +aZxZQZpZGfr0pFljyKwqxewt5wruLudOC/GtyDPyv0Tuo99FXqPPI2Yk5DEv +OJdxHg55za3U+jPJ7Aq1ryEn8b/H9jTFMfzIcYzCdkwYA7MxvKN/PPHoB/LB +km52GYyV4LmF7RK5Owm6id4B3hDYt/GWTs4nia8j/i+2i+i1yAbybsffhb+R +cz3+SqQNvQnbqrC/eRq5jmCrxtdBvR3UGy00248/Bu7kZLNu/CvTvYZqzU84 +thnUK0cfIt/BsGMW9r3c30j9EtXk/DhwrB+JH8gz24O/P9Vj9qHXZIMr1+Ov +0sOJ2O4Tv4z4CeinwNGI/wLxi5B6MI/C3xI4Hwu+h8KU7m/UW3dzZzP51xFb +h/4h8F7rTX2B51Tuevxn0VvznZv1yDD6TGpFyH0o7JhGiNkScczC/iRwbtUD +9SKMHITLYmIruH8C/1L87cRnJJ0jcdUMZxXocxLeS81gKXo30sV5ATl60CO8 +KQwnXzkbejW2Fu4/Ir424b72mM+mYmZRozfVZ2Q2+u9JPvOadc3gQOBx4qQf +/W3Meys+NNM1Cc99HCkHf3nMZ1iz+wD/1MCxQYEVoc+hRh+5rmArQy9Nuq6Z +0+wph3KpJ+3o5+P0NeQcfoG/eQnnIkf9ivuMiGfx/SnwXXoe9V3TTt3BVhX2 +mqr9DWztUd+dw/CyM+GzK47E1SBvLyBHc6bP5HChz4I4/lzoPVKvNNNv0PPE +NfG/iPmJnKP/DdH/fwkyhh704o9jGww89jsYjmb6nbaoYxIW2fQmvU2YbxNf +HPfd1M5p976yA5/TfEYaAt8J7YZmvijuM6PZ0Uxlqre8aXHIORSXNwL/K9Tz +64H/Ra+i3iv9SWcKfba109pt/T2no747+oOSxA9lOTfa26Jc30HtnnZMf6D+ +QtV8l/C/NZ7t3OiP/QfPVc11 + "]], + PolygonBox[{{7648, 4632, 4300, 3452, 7650}, {7652, 3453, + 5451, 4351, 7291}}]}]}, + {RGBColor[0.21125345, 0.2303639875, 0.2497487625], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFl1uM1dUVxjcwZxgOzGE4dYY5/M//TJQHKzRtwoxBk9qMWLlJRCkmbY2J +EBgQKNqi0QqJfVC8NvUSqAZto6ID0eoDzAzgFdqE4QHaMIpWkxYGuQ2itg7R +B2/fj28Rk9nZe/Ze/7XX5Vvf2ufCxbcuWD0ypfSLESmN0txZSWlpXUors5Re +z1MaHpPSrmpKX0roW+3v1bx1bEpbNI7o7LOGlD7VuEv7y3U+ppBSv9ZZMaXT +2p+n//drPUNzrgtO6LvjGtM0ptR5v6Z7d4xOqadg+ZWNKXVoLmq8oLFZ4z6N +vqaUJrek9GQppe7xKb043usuzVt116D09ei84wcp/aQ+pWOh43Cd/fhc40Ot +V9V5r0V2LpJN/VpP1Ppn8vN56fmp5pX6/rqCZR+Tga/KpqLm+bJhV7Ps1b1n +JHvZWOtBN3fo+Nze9NhnfTr+x6/FJfv2ib5tU1yygn3AF+xvl1yHxjXav0v3 +LdHZnZo36fyIzvtHOa7EFxn0Xz7WejrHpXR1vXOA39zze9nwrHTM1rhU/98f +Z+xjy5YGy2ELNlULtncobJ4hHPxVuemMeVnBMnyDPejBHmwe0rxIPjbX+4zc +Lo38FuNu4n6DZL4pOO7d+m6v5j3C3zMVyz+iuVd7m7TePcK+bw6bH5QNvQWf +gY31sX9WvjxQshx3sE/8V2TG1urM+SOPY2vOMbl+OTe+yd2bWo/Teq32H9b6 +XdmxUL4c0rxG39ws/Sc0b2yw7WDnfFx+rnmn5GZKfpfmQ7pn3yjLrA/8Ys+1 +k4RLyczX/Jz0dGn/7yNcE9sLri/mbbFmPqhBjbI/EGerwi/8AwvUzjVxjhw1 +zNwTa+LVG3jGduJP3N8tp/S+8Nwr32ptKf1b61GaJ6mGKhrDJdu4LOzcHHEn +5mCGfbAHXroiX+tDBp+poWORk/9OdH28lptPtp33q9EyyC6JWqB+sRUMohM/ +8BN+gHfgHzDzdG58TW31HtwEF11SdZ6maD4hmXt0x3HNRzVWSO9VytH/L0jp +qwnCoOpmpvx+R7HoKbkO1jYa503a/6eM/oP+f0jf6i+dkh//k8zOkvnv7gZz +HPyGz1vGOdd1iuP1+n6C5sExtg3b4ZZ1JfsLtj8JfBNr1tT4EzXLPK556zjb +CEe9jf2y5a3csptC/o08uE1+1XTnoGxeVG88nst9nWsSeXJ3UatzQU6IEzUJ +LuCJm0Ln2qr9/Ei6D+eOyYg21zt1RC6mBZ+D1cnS+bEwuSEz9o4Hj8GX75XN +mS/lxtGGVuccX+CGwdDPPcfl8z8ks1Ey+8hhvXsP+k6ETnLdHRjojn5E3ulF +WyNW7dFn6Ed7g2smRp+aFjaDNTAH98J7lwWXEkfieYVicLLmHnOqZh3cgx5y +j0/cCWbgYXrCUHA+euBA+hzYmB68Cp67omaQgZeJOzEHJ/AMGIVPP4+eMlj0 +et9InyNHjJiPxHpWg9fEpD1iNS1qAjnshpfmlMxNnLdHPP+Wm7tfyX1ve8SN +fNJX6Cncjx3EBe5ijT3w6NHi93tHQwbMch8cOFtnTxdt44x4E9xS5/h3R71j +OzLn/fqoaJu3l8xPxJja6oneC08fKLr+qJ2zwf/gdzjiObfk/kp+OaNH3Bf3 +HwgbyCN3EXNq5tnolb+uGn83Vs1z8B2cMCbqifisj75GTZF/bCSnxIC4EAdm +YgPusYO3CvG/uGrugsOII/rAxq+03y+ZX1aNE77lnJ5Lv6aOr6x63Vl1nRCz +91R3GyruF70VvwXW1Yetda4BcHt/9E04ua/kegHDYGV5+NWnej0rfnyw5JyQ +P+44X2Pogf92lL6P32fxDqRn/rje930om+Zp/4PMPrMGDxv1Tnu87PygG1yc +i0XROOD/Yd3fW3bOvp5gvgZT9K41oZ+aWhVvOTgJbqJewAt8Qj5m6+7NwvGc +zPgBO8jzZkEe/FfrHXN4Zntg7UzEnXroj3fOUOi/PLgCGfrDgmb3CHrsyuhd +vFVej/fKbzLz5b3Kyyytn9f+zMxvJdbg7beZ5W/LjDfeFWCmj3yPNo/QB+n7 +9PR/KfedWnco/z9qdR8dX7P8lHhTwf/YQQ842uTeAMYPaN3W7L6Y0/+bjPur +MmP87orfKVODu4g7eSPv7H8w2mfY2RVvgJ3Sc7Ds+FEjVwf2iCkcDt9iFzaj +k1gQk0drfvPx9ntH8w7pmdNsfNGnqcvbJXNIumc1G7Mj29yb6FE7Aut9FdcG +MaX2Z1Rc342S6YnfNfy+WRd9EdvA0cLA0rGK3yPbNA/Et+igV5GHKzPLgW1i +S4yI1ZHcfoFZ9n8nuTfk4xrNfxbOHy0Hv4/0ndR4Kd6ZvDeXRp/gPviW2C2P +mC2P31wD8Q7cFvHeF1yBr2AHf/+j+nisbH6f12jMgIW/VFwzl7Zax0C8CU/m +xuwpzduDN+AP+PRc3pPfGMPBq3fEG5i3cDV6Mu+4Q5lr+IdVc9u84Dd0oItc +7879+2dPbh/4Dr/mBjcjTz7hkBURS2IKJ2yKdyv+4lNn1AL8TQyJ20DZ+AN7 +cBZ1Ds//qewcEH9+F05vca+hlw1Ffb8f9uMHOvdHTyGH1DL1+0TZnIW9ZybZ +BuoP3qNXYXNH9NOh6IeD0RPBS1/U41Mt/h1LT+qJtzr8szbekcScvK9ucO6p +yydbXJtfZt7/IrPOexqsd0LV6ybNj+TO/R9zvy8Px+9d+G9RYOU7LZ5cAw== + + "]], PolygonBox[CompressedData[" +1:eJwllVlsVVUUhhcUoYLcthdaOD33nAb7oOL0IuFJpUon0wgSjIoxsUQMMhSU +QZM2wRcSQIkMivUBDcEIBIQH6CTg/CCvDGWKRoogEtEQSjQR1O/P/7Dv/ffa +ew37X8OZMn/ZnI6REbGUNYrVVeKnKuKZavZ1ER1pRP+YiLY7uANuRT6rElkh +YoDVzH7hxIg9d0X0sd+fRbSPj7iAscextTaJWDw64ig23kD/K84XcX4Je1cn +RdxEdwf2dqO/Hv1KfBYmRFwvjxgJLmOdxUdtER10N7La0O/DfkXJNmTrELIH +JkfMQLYb3fnYWorv3/KIVysihri/GnwQmd57XDrgQdZc4lvB2gieXkMM+Hsb +ew8jqwNfJL528BpkK1K/pRf9ZeAv0GnirIu1DVzAx2zOuvC/FXyD+M5x/xLn +T9dGdCa29SmyFvQ35eb2ALY3g2ci+4SzErInwUP4zohhR8F69cS3BH528aZu +ZH3Ya0Q+A/5+xtf9cICZWID+ds5+hN+tcPcUd4+VRdwit/OwOYi/Xeg8iL1a +7A1z/hI2v4XfxZyNRf8wXN5Av6/o3KxFdoZYJrHv5E4vsg/xVz3aOf8c3Wns +/+Xes+y3s38UG+fhfic5eQzcmvrt07jTmLpGVCvKWQO4G/095c7Zldwci+sj +6LwOrsida3Esrht441T8H0NnHvofcOd37i7E5vvgcbm55clxN7Ybif8E8R8i +9mvoLE9tez1rJrZOc9bCnT/LXeNb2H9UY67F4S+Za3MR9i+Cx+PzNXAnsgL4 +ncyYv9iQuTduV5lr9UgT/naOMWfi7k3ie6XgWmtOXKOqVcneAp9MnEv5OAF+ +seS3/sf+OfBU1jb27eT2LLZ/RedldL8fEXE5dw+oF5TTbzLnRLmRzn3orsz9 +Fumsys2BuFBND4C7eft74qTgGlSNqdbEcT3x34uNlnLX3D3g3qJrRrWyjvtX +4XJ4ovFN1r7MtfAd8e3N/Ga9Xf12JXNPq7fXcKcK/CWy4TtdQ0czz4b+as8e +5UG1/BP2Wwuu6c1F17xqXbLKkm09hI+mxLkdLHpWKceqQdWictKcurd6ahyT +euwRzRTOGlh/0L/JBL9Jb1HPHM5cW4rxSOY7uqsZ9S77f/CZldnGNc42Fd1z +6jVxqhpVrXYQy9/gLblnh2amZmdDaq40E54An06dW3F+JnXOlfs29ufBFzLP +DvXnEPhc6jP1lHrrr9S+1DPqnZNF94R6oQe/vYln4wJi6gE/D38/cFbi/meJ +ORSXmpmnEtegalF3Xih5hmqWagZ8rNmf2pa+IUtSz0jNSs2sfvCsWs9GcSSu +9C1oqnYs+iYcJ75TRc8a9eyIOr9NMygDX848lzUbNVs1szS79I35mrP/AYy6 +AcQ= + "]], + PolygonBox[{{7657, 3456, 5458, 4352, 7292}, {7653, 4634, + 4302, 3455, 7655}}]}]}, + {RGBColor[0.2515966825, 0.2762395025, 0.2985102425], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmH9sleUVx1+g9JZeeoEi5d6+73vRjf1EkkFm2Q+2WqniVMCMzIlmbOli +GE4pY06NrP7hXKLd3JYNrE7YEv4oG9RtyZLZUhA3mVN0UReZgtOZrEUsVFBD +W9ic+378HpL98eZ57nnP8zznOed7vue894KOzi9umJwkSfekJJmicf3UJLlR +z0H9/mwxST6j52kpbKjx/KDmhxuTZO+cJNlTSpLRovVWas3bdZ6jv1q/j+kZ +0rp3JF9a9PuXtfaI1u4tWXdprL16ZpLsk/xRyXvKPv+yVKPWv6f3T2m8Uuu3 +1yfJFRo/liXJQtm7PU+So5LtlOyf0rlTY5eeC/Vu7Lwk+e+sJNk13ffqlfyZ +ydZlzhlX6YzegvbW2FTr+RLpXiBbhmRTh2S/rNiGVtnVW7GfrtX5XXp3uZ5+ +nVvU++UxP1aVD7T3A+hLvlPPZp17b8zv0TMsvW0zLD85w/OD2nhc9+8ueR2y +3v9b2x3zK/V+bei/INkhPd/Ufpv0tMqfT+rszbKzKvlR+ecyzTv1bqZsvkU2 +fqnW/jys8aPSL2mfQ6GDLrbhC/b/RI39+SHN91Z8x0GNbXrW6d24/LZc842a +36Z7JzpzYa1xMlCxXe0Vn7eIc2Xbc/WOE+cV5iVJJkyM5H5/l+QDkpf1jBRs +Wyb9vN7ngaXz642Z4wXL0fugfK1QJ6/NtYx36L+r+V/qHDPs6qwzls+mnp/R +uL1JZyrWD5a8F+dx7hN1nrMP+/GOMwam2oZVxESy/Xr2aH5r6vl3NJ7W2g/X +G4crhKUjuuNgyWsHC/bLuHQ+wt0kG5Ftr0q+qMb5B17zyEV0iOW/phn/YGt6 +4IH8ui6zjcQEe7Eb+3cL92OalxWL1yU/o/kdk517dzb4/P0l5xzv2oqWcS56 +E5pXNA7n1p+iWJ2XOUazNX5Xz1nN38jNBazlvJ/oHs/UGQvkG3kPJ/y+wfHT +Nsks+eR5+fx7Dc4T7nQkdbz+E3do1/59Gpdl5oZXGm1ry1TLwenazGd9JfPe +b8f+D9U6BvMDw6eDE16Pu3Cn7ojbtqnOW0Zypz9y6hHytWAOgBN+pDUrtPbH +Glc2J8kC7feO8LZQ9p+UXo/s31cxJzyq8cWKc+0ljddJ/7jm12u8TXqPSf92 +jW/pd7vmf8vMS3AZ3DRc7zmcNjdylZjiszVz7Dc46ZbI5V+JD36tZ7F+318x +L+zReJ+eb2j+d43XNhtnazQOTTMmiPOg9rt6jrFQM88xJbbgF7/hy3/I9yul +s086hdz2tDTbfzfVmnvmyw8FrXk8s+/IYXjgq/r9V+3ztcz81xscCH7vDQzf +3OC4gutixAPMLI36QlypBdwVTPZJtrvonDg9ze/B2orUMVupcYHO6yHumfE9 +EfjnDn3T/fvl1HXlcGp/4Be4bEmz71iI+jIccTkp+SXa//nMsV0U/qc2bgib +yVHsuiJsQgau4Gb8RD6uj9xAvik1l3y/Yq56N/CPzdiEPbxD56dV8xTxPlpj +3+FD9gRfywrGO/Zh5+cUk8U1xhgcTi3smGIfgjnkny+bcy8tWBfs90dNYRyI ++YmifxNTcoXYcx9y/uKibSDmxB6e/FZqrusE50XrwC3Yh23kJrLWWDseHMR+ +/ZF/nAXXYgOcj35b7MP7F+Is6lJX1N83m53rnyy7dj1b77ufL/z2K392yH/D +M13jyW38hk3orAvfkkf0OC81mtvANbx2d635iRhRU4gTv8lRaundkafPaf8P +aP1dDfYtfqX2kX9wPHeHJ+AgfImN1EVq4rL43Rn9DHLuAc6HgxPOcQQYao86 +uzF1vdhRcG9D/3AyeojLU9cQ+oKxkuXUd+zlXsRtQHc9o57pByVj62F4Wzov +NngEN63BU79RXlya+qwvaDyR+67HNf45dz4/ofFYbvzSI4wIu+t07vGq97yq +5H07AyffTs0T1GlqB5xLr4OdhyNPP54Zw6zHnlu119el84bGC8vm/pG5zkV4 +hNyDP0ajl22bbqwUo6fcVXQuDGrfMfn3T7L3sdxzZA/IJz9Xf7BCZ8zIHI/7 +ctca6hk5yR5PRXzhK96B1S9nzufrNW5J3UNsTe37sejxiO2zEd/fat8O7fm7 +3JwLRqgxTVF/8MMfc8f/5orjsypiBAd3ldx3b616vqXqM+gn4duLZifJp5qM +7X9XfMYq5coB7XmTzn08d8/OHB7uCc7tiF4IjINt8EFvwZ6lqv0wo2ofgZun +A1fl0P9h7nwkL+nX6dsvKjvfqcXg8kTECL+NNts2bMSGaxpsx8O5cc33wRbF +5aEm44M6QD2A23dFXWC+KfgRbuEOB6N2ZPJDOtsxOBY1Bz2wiU+PRg5SN7F1 +QvE7QG+UmcdOBWeBffIN+6kbfVGPyM318Q1F78Y90YHP6V+oO2ej90JG7wAu +weRY1DNiTC8Ltz1Ssb/pH+FG7vc+5iaZm/ZG70X9h7uoD+AI3NAjtcT3Bt8O +2HNj9JZtkcvkNPkHx4Ln/gb7ZXXU9tXB82sCz+AaHn7rHHfXOF/hanw6Htju +Dt9yLj5bH/3VH5qMRXCI7FTweWv4Fp21kSNg/lSchQ45fCK+Q+nZ5zf5vsuD +i+Ak6gU5yF1GQ591PwusgllqANhZElxLvOH/xRF74t4fuASTcPuB4HdivDv8 +z/1a4o43lNyX8rtLPpqk4JXn2X9D8X3WFnXw/Ron+7c12ZZrop8Do2CJM+iJ +R4KbwcFEcAhcMiu4CE4Cp9jcGWvhQzgXXk+iD/t0wf0MOUzebG30/an57VH3 +6VcYuTt8RE0kb+kpLom+YkL1ob/RnEIPBReTU69Jfn+jOZ26dq6npheCt7kL +OAfjcDMcvyH6Q/IGu8lZbB+Ku7MOm7CnpWxczq661yNH4Pqd0UPif+ohcmri +QPQwxA4epeYuiNrAuv25dcdiH7iMHIMrDkVfQX9BHbshvjnAPjzIt9bmqnuF +O6o+/57owci/dcGD5Hlf+Of2qFPUK7ib/L44vp/ggI3hf+IOrvjOIDYD8d08 +EPWFeoZfyRG+c7P4/u2Pnp/ef1vk65PRA5D75NEv4luAbwL6nh2B/9MRa/wE +jhZHL/Rq6vrySmpOZw6Pjub+/ngzd23saTT37wre5b7vzfL/L+DjHLawn+8e +OIXekTUPhq/+B6OMuD0= + "]], PolygonBox[CompressedData[" +1:eJwllVls1WUQxUfbgkvX2/X2/u/FpRqVYqJR0Ac3dqEL0WhYFE2NqUZoUVFQ +gQc0xqCiUUrFBZM+SFRQExPtBkVATUQTH1SgLGoitdAQ1BhaiBF/x/Pw5Z75 +Zr75z3Jm7sUt7Xe0nRsRqzj5nMczEX3jI5oLIh4Dd3JOIreh3AhelY5oGRex +hbtG5JWcneBe7JeDh9BfcWHEAWym1EY8XBFxtizig8KIrZw56K9BdxdnH3gu +51rws0URJ7IRVyXcnRcxiViuBE+uta8b+cYQeDM2d2Pbic1E9DfVRExFN43z +B/pd6E+dH/Ez8X4BXkZMj+Q7p0fBedjU5fnNSfBh7prxtY3zJr5uTfx2C/Jt +ie+kay2JOJ6LGMR+7zmO8SC4gzOCL1KMS7EdqeZdoWs2CbmP/GaN85103+Pz +8gsi3uLuBN9/gvcD2K7jzMZ2N/rx6J9Dvwt8Gn276oE8A/0GYlhdHLEE+Xnk +jSnipcZ7yamB+5v55nR8zeD8hf+p+DhKPlvxMT2xT/neQ4/GwDdUEXul668+ +vJZz7z9Ffh08Hxtcx9e8XwC+l/Mt+FX8/1rtmP+Pnbfb1U/ifQ+5CnkTseQT +w2V5julP8D28jwL7WJw4RsXayPfW069MOXUinlFyOcWZljj2B8Ft+B/AZkK4 +xzvBh/heS557eCTjmqg24uSKjDkr7qqGZ8ApcrqzwDXsAC8qjfilwrXbRwwp +vteD/VrsK8D/kOMRfB3H53xinYOPKQXOsQH8NvXbQA/m8r6LU574rTgurs/E +5hv40oX9rIw5Kq6OoF8IXo/NcvBZfL4LPoyvZvIfw8cO/I3ypjXfHBvLuAaq +xVJi/ZL8e5F/KDDHe8ANvD2Aj17VDx/1iWdFNVKtniLnIWxb0T8DfjpnrN5r +Fm+pcSyaMc2aejFGfdYVuyeXIB8t9Q5YW2TuvcH3GovNwTrqsZQevs+8bOLu +NPou7D+E/y8iN1V6J2gXbEdewfeXEc8D4JXg3XxzCX6HieHvanNe3P+OHO4j +lzKaX4L/M8j54H/L3EP1TjvmE963FJnz4v4Qcg5fa7j7HZw3wThNzDlwB79X +E/PiEvfw87RnWTXtBo9knafy1e67vsa76SH0m5FfyZq74oy4o5gVezd3k7H9 +KuteFXLXj34k512iHqgXyqWPmgwUOyfNjGZHOXyc9U7VbtWOeDJjH/KlGu1B +vyPt2VvN6QTvJ5+DnP5ic+BY1n5V42HwPL41r9Tc0jdL8deObg02ZeIKb9+p +cu/U00W15qpmWLO8oNazoB2qXTqaeJdo52v3KwbFop3XDx6l1z0p9/4F4r6O +/OrDO1C7UDtEu0Q7rw7dosS7RpxfCB5MmdPicp/mK+faaoY1y/cn5oZ2inZL +c61360SumsC3Zzx74sBscEnOu007pL7Gs3YoZS5q5l7OuhaK8SXw/rT/qzSj +mlVx+7Mqz4s4/lPaXFANfwQfy5nL+o8YBn+U9X+JdsC2rGehsdK5aCZ+Q76o +0rtDHBMXk3LvPnGyKeP/Wu0c7Z7BSnNXHFaPu1OusWqrGf0Pxocnng== + "]], + PolygonBox[{{7662, 3459, 5465, 4353, 7293}, {7658, 4636, + 4304, 3458, 7660}}]}]}, + {RGBColor[0.2900108775, 0.3192062175, 0.3421045975], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmG2QlWUZxx/25exyll1oYXfPOc85BzGZIRXyQ8Fir4Mb7C65ARVaWTqg +5hRgzgCRAoPT6BfApClJDLQpZwIGF/vixG6IvFkCClhiZgY6Ei8iK6QLQtD/ +x/9i6MMz9/3cz/1yvf3/13U/I2bcO21ORZIkfxyQJJVqH84nybTqJPlFOUnO +NiTJMj2/1/u7A5Pkmbok2at5G+rcX1jhb2v1LFJ/V5W/pern1d+hvprksNZ2 +113ZozvWTlB7Ss8e9ZfFPkv1tOkZr4WjJdDSmiTZrPfVejZVuX1lgNed1jOV +b4MtBzJcq7Hden6ekT46b7vkr1A7U++/VX+85j2sfkF7Ddb+Vfq2o8FzkWF5 +7JPJJsmL2qdabbvafj2T4n1nndeeL/qsc0V/+6jOsvGdtT/VOZ8a5Hf6tDti +bW+1dUD+m0IX7DGr2vsMV3u+Nkmeq7c/ykOTpKTnjGT9cylJ5mj8RbX36H2j +5rVqzvFqjzdUW9eu0Hdf1jbFnmNzSTJGPvlPi896pcIyY2/mfF7fnpbNZ6t/ +lZ4dOuMdfZuT976tYZ8PNP6QzupTO0C2e7De80/ofb7mT9b8i8il/vU694L6 +Y9W/rtL7YOcjej9ZSJLf4Su1H+h5Wv0qtfuzlntJrcfY48bENhmVtd3wOfFJ +zHRmrsQIMbYhYpW9OXN8Yrv2h23RHR33ac6vtOctkn+31t6Q9Thz8FU+4uRC +1r4nbm6Ufd7I+Nte9Q9GPHVpn5trbcOjmntEzzq9X8x6/Uvqby06trapXZM1 +JlhDn/X7B9hWY7LW91jW+MGm03XOZzLGGf5iHTquq3F842vkQJ5m4nOY7NFo +GyErMqPL+IL7rWqfbE6SVY2OlS8rNnplhxZh/22tfULjX9P4Gs35tfpT1B+Z +M36OyL+Pytddmr+CGND3j7VmwyDH/s7AyiTJNrHGvh9YsmxtBfuTMXRcoe8D +JPtIvZ+ocXuVxg+lin3peDA1nhlHL+xYiP6y4IxCheNpWfTx3ahB5h9kAYeM +HW/x3j2S/075YJ/2ukvtFum2tcGxjM9mRWw8o3UvaDwZaHz8MDDyUWAV7MBb +ywIXz8lWY4XTz2Z8PueC/fel19VZ6/enascwuN5TaR1nqt00JEmeajZ2X1X/ +jibZut6YPxs8fKds16f97lL7Pcm9S2tvU3s3+NH49wu2E/aEVxfrW8Un5P/h +SXL7YO+1W2fN0LyTmj9T7YeSaYLkrNeaful5rta80FZnbuIdbpqrfV+u8Bxi +G17ge1vw2Hz5abP2mqv273nH6xtqn5XfZ0qPP6jtTM0vXamx3Bb7H9VeLRnL +Bv7AIXzCmRMiR8CXvaHXPdLlWa07pu/r1V+nZ5V065HdRja7/4MGj+OLw3n7 +ob9oPIErchCYTwJTT+Xd78gZr+BWYX0pNzAfDK6KPTmXOLwQnLC+1pgnduBW +OHZbyRi4EPu8Xm9/42vsdzRsCP8gB+PwK7YglohF7AAXYT/swzf821PtON4Q +uZScu6DKeYiY/Ip0ma33s6nzF+Pggjhujz627Al7MtYR3Mi59JkLX7bHOBxB +DOEjuP3Tku1ziWOqL8YbZd8H9e1nJeejhuB5cnTf4Cu1BHwH1zG2OtZ2BQ/C +a6OLtssYtcfKnrsqZ/2Zj33ge2oD9ObhnMt6gbH79H6g2u/3hc1eC7s9njO+ +J6fGIvOJ4X7hoVPx+TedOz1yKvvOjdheoPaQnPlmk/litnyyuMFzF5cdc4vU +rix7/LGy44VxYgZ+ZU/mb5eNzsgWvUXnw4bgkDGSrZ76o2hO7wrM3lvvfN8a +/AF+4JDTUUeBk1+WXTM0lo3pjoxxDY5owS8yTw+7jSsYF+Cju2SbYJs1JfPc +l3Jet+ky9qPOIZ4eKdn/p7THVwPX4JscQKwTz92D/E58Uod1Rx/OhlvxF3ll +VdiHeCf+wD57kH/AzOONzlXYYkrMZRz+viFjvsPPByKmfyL979a842X7/EDE +wOngNHwN79BHL3yAL3aGT+A4sPlC3rXF1ry59mLk8baiMT9BbSrZ/tHkGoj8 +Rg1KboILwDlcelP4h7MmxNqNOutfWvt8k/PP8gbbZGnUJrOiDnmvbL47UTZ3 +odf8qMkucXDRMbY+uI6aidqJeq8t6r95mneq5HxyWu1U8eSWJtfH4HV/1FqN +ET9Dy163P9ZujrxFvOH7BYG1t1Lj9s3UfIZeyESd0lPl+gSdiR946b2S7XRM +7YG89+7Mu46YXOM1jU3Of8jam7f/VqpdmHdcHNfaeRnnF3h7V5y3N/jkTOTK +wwXn/7EFczRcTP1DDh6RtY+o++D83XF32RUy42PmwKF/KRl7L5Uc08wlhq/J +mdcPtbimq/6/fEGsw8vUQnwDY0/mXT88krft32m0/b+h/sFG1xmLir6TvF+y +vXuDl4iRtxodJ4zjD+L5bY19U9+2afzHqf3DHY4ajdoUvak90Bneu7XgWvi8 +ZP52wfVXX8G1yYioT6gLDqkdF3UE+CJHbNY5tzT5vvSAztqqOfenXnd12KpW +dUZZMp1E/rxlbM87PoiT64u+022Ne92t2m/IUOt8jfqHh7iWHRE4w0fwDzxG +DFFjYmQ4ZXHG2GQcvIJb8i6Y4x3cdUaMDS06hoilzWrPRB1OPU6NNirqQ85Z +HHvC78QqfESNurfW9oAD4AJ8Ta03vtm4m5a6Fv+62plFz5+h9kPZt13jf1X/ +9qLtRH5eHnUj+YX6ojJi5pGIk9ejHpkXcU69Q60I7+GD7Q1X1hBvxCQ1YGvc +nXvinnDpzj7Iscsc7E4OAMO7Az+ME0PwM3v1SLn/DjMndUQNQD3AfYr7CXeq +26L+vKNoLu0P+3O/Pxxydce/AnI+GGqNPAeHMYe8Tr7nO3I+ljpeV6a+Q8Jz +94uLxuVcpz6Ret27sRZdqUXIQ2vjTgh/tsR9iLy5Jep65IdfaeEu7pWsvXwX +QS/w0BN3kT1RA5NnweBCnb1NMixKbRP2HB53aPSH55hLHzvAo+ejj474gpy6 +Je84ez5vOdfWWNYHImeRu/49xHgAC+2Bo3mpcVIZ90FkwY+X/48sCI7lfjA2 +7t37qYebfFefHrHGPPIL+Zp8vyTu6djw5tQcC9d+ssl3Eu4jw6Kuo75jb+50 +xAC5n3VfzJkn5obdXi16zsSc4xBuR3/ucSvijgdvgqHvFh3v5KpL+SBjjkCn +vuCoL2ifjhrjCFmpPS/Gv4Fr438PXHEscLInaumNcbegnuJc5uGvl+O/x+mC +5URe6kti6p+pc++6uAeR0+hjq0lF7zmxaP3hSPgUmbAjuMNOSyImryva59RT +lfGv41sF56uHam2bqvjv8R21LUWPNxede9kLm6xu9D2c2gc7/6jWtj6fun8u +9T8DYpgz4PBx8b+FehkbgAXkxIbEBv6g1kVmsHW5ToTLwSA8Bb7h4UucVXB9 +wz0enukIX1Ars0977sodHl+MzjnncOfG/50RA/AgMkzS9980+85G/Tc1NRam +pK7XXotajnieFP8QPg5+gCf+B/zM6MA= + "]], PolygonBox[CompressedData[" +1:eJwlllts1FUQxqew7dZets223fuuGG1ihBYfFKz3KLYUtUDRgle0BSQYWk0s +XqBNjAEfUBGjghQDRn1QooAvJBYQWy5eE8qDIirQklhty1UrxZbE39d5ONnv +/M+cmTPfzHfOXtXYUt88wczWMgKMxQmzczlmUyaa5YOfYpxnXsG8APxS0qwr +iD3jvrjZurTZy7lmt7D3DfCLrO/NdpuV4KqIWbjMbE2h2Y34uSdl9heBdrCn +JuU+5GsWa1+D/yVGbdBjLgFvDpt9gI9NIbM5jJPM5+HPrsCe+YfFZg+UOf68 +wOxVfCxnbzc+VhF/KGq2HlyYZ1YZMxvQeTnLr+wJXmn2HfMW5iHOvCflOSrX +Wey5CI5hswDbAPHaWL+Jb8fwfzPr/eDjnKeX0UX8fYwXlD9r9fh7HvwINh/L +niM/DG4uMdsVcS62FXEmfG6EiyZinsB+lPEM8+tZryWXecw/xV8V/maDNzGe +C7jNGHgjNu2yZewDd/BtOOg2sr3At+vy4U3cq34ZsxWsLeGsK8Gt2Dwb8DOv +ALdgvzTknHwLN8Pwd1eB+5wOf4N8m5TtHA6BN/NtJ2dZSi5D+Oshn0q4/oh4 +Z4l3Ju3cKeZp8KPUq6+UXIhxFB8d4o/5jxP9Wxs+loWcn9lx70H14kziD4OP +4H9qnnN6nvlWuHwPH3XqBUYx/O6lXgdCHrcJm7PYTsZHHngV/gcCHqMd3EaM +phznuF61Y/5TtnOyB/wnYw3rRezvB3cyJpnb7AZP4Tx15H8r3yaDI/hsYK0d +/xvADyWciyrWF4At7Bwo98/g9e2M98ou5u+Aq1OujfEa4H8DZzoT9JgVcH06 +41wrB+WinlBvfILNXPCX+B+Fz7V8ew0fi/HXg78s5k+Ca2LOpTQmrd3Lnp4s ++JSe1V/snwqnC4uc0zR8DsHnJfAI4xI2ywN+pv/A72Y8V2lO2pM2T4RdC9Lo +IWreTG6DxL8cdY1Ja/r2Tdo5FbfSVBXneZD9yzj/drjpDvke7d2N/Z2cfZT9 +P+R7T6u3b4u5ttRz6r0O5lF8NWG/E/9HsXma/a2c+WfwYMZ7/wg5D4B/I14y +7P0sDZdHXKPSpu4caVBaFIeL8L8Fn/MLXbMVzNex3sq6MbaC6xg3gBsYv4AP +YvNWjp95DHx7zO9K9bB6eUbCtXkYPvvItZzz9Bd7T64mznri1fHbyfnLUt7D +6uVq7P9OuHbeD/vdKA2pdpkSr5Vq+A82NUG/0xeBA8TvDbomGhOuMWlN9/MF +YtXGPBflqFyfIOb3uV7zheBuvlViMkJt94Mvl/odrLv39ZDnoFykmXJ8NZBP +X9hrOYE9I+q5oOf0Jvsv4vMVbHPgYwR8N+MUsbYRcwb4jphrSzXcwll/T3rt +pLnj4CA+ri1wH9PxfSrsMRVrPzFnxvwuV0zFjuBzda7XSLX6Iu29ojdJb1M0 +470mDUvLh1L+dqiGquUf5Hp1md81qlF1zGshjsX1Y6lxiY9z9ji4JOPaFmfT +sG1L+tukN1Jv5Xx8zS32s+rOUu9nhf1ukAbmJF3b6mn19o60cyPNbk/7m6G3 +o55vveBpCX/HxYm4kXbHSv0ukIZPJt1Wd7bu7rqka193+v1Jvzs6w15L3SHd +Ka+Ncrom5j2oXhSHUeWXcm3pP0Ap+Fza+1bc6G49mPZeUU0PgLvi/tbrzdLb +pTtJd9NhvYHgY3HXjjQlbTWmfE1vuN7yr+L+1o2/Scz/B2DPRQc= + "]], + PolygonBox[{{7663, 4638, 4306, 3461, 7665}, {7667, 3462, + 5472, 4354, 7294}}]}]}, + {RGBColor[0.3284250725, 0.36217293250000004`, 0.3856989525], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmH2Ql1UVx++yL7L72/2xLu3u7+X5LeJMVIhaWSOioE0BAhvsLpE6NZWI +kRVvOVOTL6BlE800gOaUSoFazTQoJmQzzSQDiwkqsSQislGZSYIJGPIurPX9 +7Pcw/vHMOc99zr333PPyPec+I2cv6Jk/JKXUX5VSteiQ2pQuq0vpLxr8V3tK +wzX2mVJKvRrvPS+l79Sk9GPRZ/Vs1tgd5ZRmif6wmNJdZY8vEe2ss9wqfbtf +/G7xozT3mOhRPZdq3R7JXajvd2ruUsm8qPFMMgs19hvxe6TTQekwUrKzs5R+ +IZn7ND5GMp1F63Kb1hjVmtLTzSn9Kp/Sccl8VjJX6dsGPTPFXyN6tZ4u8Z/Q +Id+U7Ic0Z45k+7Vuj8Z7Cint0viHNb60KaUT+jZD4xM07xXJTBffJZljssW1 +0mdSwd8Yv0xr7pZMp/gZBe8N/3GNn5L8VMlfq/ET4qeInyx+dENKH2mwLQra +63HRK3Xuz5fNzyrb5pv0fE7P+lxKB+pTWiy/rGtMKSc+E18relrP+OTv++vt +y1vyfoevH5HSBS3SvaL50nOYxo+KL4lfOjSlouhUPU+JnyJ6WPr/XvwO6X+B +AmCEnnfztmFDvc+zRe+N9daja6j3fUV77cls526d8VN6zohfrbM8I7u+KR1e +0Lzh4l+WrX8kO7/3AcWcxp/UmY5Ip3s09rboLtnmHq17u/a8vM564s+7tdYW +rfk90S9onTc0d6vWfC7vuej0ZY2fP9znPKR18mG3bXnvf+69SbQi2p3zvJG1 +josDzY4N4obY+KTscFLv3efZBsfEvy5+fI3t8FzY4had/WXp+fXM84lHfIq/ +0BFb8Z38Is/W6Fmm8WW11gnd0GmJ5lefL/+M8Bm2hc590vNirbVddEyj+Xvr +3n8nV78yzL7qqzY9k/c++OHTkhkmvkvyA3pmcG7ZZ4doTnSBvp3N2Q6nRE/n +HHvTgp+aczyeinHe4cGKi6A55yg5jE7og87w7dLnvcwyA5n3Zq/dVZZBB87C +mfqCR6e+mHs2dEa3KtGkp0+2PN5uLNkoPFirsz+uZ6XOvLrBMUls7gOjRF8v +O6a+P9QxjA6La5xH+JVxfP2a5LrFvyp6UOu8pecJvV9X51jcXmMMInc7qr0X +8uQaOcNec6odP+xPXvAdflqy/xeJv63Guftu5O97ZY8PiO6UTi8OsX32KUce +Vpz36FzVLc4Z8iWBey2OobXnOeaIt0fbUnpE4zPzxhkw91byqGBbYbNfS2ZD +s21FjoAVd0jmB1qjudq+wyd9ERsbtF6V9lsu+V9q7mq9d4ufqjU3Ke/KHd6P +9cCPnxdsj3/qLBdnPvdq5fXeou34N9GJGv+tzrte48eFjWvxuehRPY+LbxD9 +g/a6XMqMBY/LrgszwYDMsbs1s0/ABuzMGuAxGM0aYPDkZFs+XWN7zmhyXWDO +77T3HL0/VbE9RrX5DODfrMDAQtiVnJoZ52McHJpf5zqIXcjzZVE/8S15Qd6R +c7yTy/mw8+IOY/Qdoiv0vVnPEskfifxdE5jQFFi1IXOcvCA95+vbxFpjY3vm +mG7NnL87I2ZOl1yDqEvkKftjg0U667jYr1syb2DnivVAn0Oik8Mv+AccfqnB +ufFu1Jr9Nc6bg5E7h2M93i8tuN4fk3+fqHO9peax56EanxF7Y1Pec+H3m0v2 +Nz67SbSx5PlzRfs1d4+ejbWOhXFtjoeBkmsNNeexc3iq52TMZY3/lYzh1Hli +h97iwlhrTPhof9Fxf0B0U9F7PVD0Wamv2JT6uy5nTBnXYLxnnc6c8RE5/Px0 +2PlMyb0BvcNAYN2MwEf2BTfAr1HBl2ucd1piENvIOb49W3QvtUX0u2X3YHeK +Vmns24FFbfLZH2XTdtEHtWZfjfFnVYtzlTztb3LMMn40eiiwYLBvanOtorca +EnY5WzZuPFR270acoM91ZWPN9aI7hvoMYAtzdw31fGxPn4DvwWrk6OHmZJad +UnR8gan0ePRBrIMdiGHGsfnO6G+wJ+erC5zE5vDUIHqw+nrHGHEET/7Xhe/G +Bw4MrTcW0JvBgw9fy6zz3Mw4j07Edmvk1L3Kiyt1rr119g+Y0RP9JL3h9OgP +wXXGBrE99mB9zs93dCN/qDHUHeohNZK6dn/YFX5p1E7igL55ceDVDZFbvNPb +dkZ/Sz/SFT3JQ+GvlWX30a/FWpyZPgUMvCmzL27MvAffwflHW1wzwLZBnKq1 +zZ+rOOfBHnqHaXX+tr1iHOmrOJ6IN/qo65scl7yPKvg8/yk6nogLcu3VqK2X +aM2Hi8ay5aJP5hzLYPiNoefNmfF1Sd42oA6fjnw8DF4JK9/ucE7QK3MPQe5w +2Auf7Y169rPIEXIFvCOeu0q2PTyxd2XJ8uNKxld0w6dzouen96dvndvq3rW/ +aAyeLnpFg2Oe2D8dfRG4O7tk29fIHr1xZ+HusqTOeQ1ecMYbwt/Yd1qMP69z +r290DQC3yI2R0aPBExv4EF8TP38qeu4zohX59O+t7oknlywzSXSg3TmxteK6 +fThstl/y/2h1L8va7EdukosLgueeBub9V3Pn5d1rgcMrg6curhpmXKdWng5s +PNdDYo8XI6enBf9O0b3emcxjnSF/aWYs+2hm/9Bf4qOuwFHqDnuuDR3I987A +YfB5YdiKeJ4aPSr+IVfIS7DzusDP+yruCX4i2isbfKnVPffHGrzurKgX1AUw +k1ilJhPz9CBgNfhGb9wfssQPmEA/uSfG8f3+kjF+bMk1a3nUfeoj969Dcb+m +pwADbg/MB/uJiVXhd9aeGPFJfYY/d0+5OvY9WXGcnhJdWbAPu8q+204IO9BH +ksOc5atxP+WeujxqKXamT7omcpP9N0esIvNYyJHzVWHPg/GNuZyHWk88gPvg +/5my5ejbWLOn2fdD7j/TI6fauCMU3SvdqZzdrO/7Wnzf+neL37fEfR8sBHe7 +oz+kT+SONj7w75GidZtZcJ3rjnsZPcu4sP838rY/7+TlqqjlxEBv3MH74z6O +Hz9YMHbyjwR8oX/Ar+TfksjfNWEf1n8g+orNRd/JlkWPdzb6WPrZTRE7xCqY +uTHijTvRmLj3YdcVseZF0U+QF98q2fe3il7e4BpH3SMf14T8qbi/sT7+2h64 +jT/BoEGfBib/tWjZ3jjv2AbXVmpsc+iAn5sbXPvRY2HJsbWo5P9B5M1P5btv +luyPeSXPWx5z55fsvwUl38HJbe7I+Id7LDFzQL7+YquxkP6L3CNmnox+jDzM +xz2fWCEX6Z9GRl7QvxJPB0IGeeoPdzbqNr32kdiLGs0ccod8einm0gvsih4Y +ex4Jm9IvHIy7IbUJfn/c6d4KflTo1B79Hr0OOQAdHfyOuIeDg5cUrDv/vcAr +6go9Az0bc/D1uf2og/Sj68Im8JyLe1dj4ODIwHJ4sBvZ9WE3bLI+etqxBfvy ++cz3NHBlSsEYTF0nXq4oOc7plx/scF1+QPT5is+6oOh6srDJMQJ2UnOJgz9X +PL5NdEXFZ+LfGHpSo9DtRMX/3o6LvlOxP8EA+prR8a9sXcU4Bp5NLNlm1BBw +jB4XLCO3u+MfCGPcm+l90Q89J2Wuq8wh/sEv7m5Z/BNaH+P0OOACmHBNwXWT ++ondBu9uNa5B8+JOeHeH+bs6nCvkDHhKn8J9EhlsAqaAJ8hMCOwiNohb4uVg +h33IHZr8Qx4bDkSO4FPy+6rAN/J2RvxLGfwfF/WR/CZPKoHDxC44wD5VkSOs +A17Q3+CL7tz7a3THXsT7qsgR+rKq+Pfyf/njBv0= + "]], PolygonBox[CompressedData[" +1:eJwtlmtolmUYx68532069+71Wdve48ygEVQqWWwqQVHpnJrbu0w7WDGnZuYp +ocDDpmGwIEwtyiFODYM+uEozCMoyS+ehskhDsyKb6Yym1Wajnez359qHG/73 +c1/n4zO6dll66RAz28oZymlImB3ONnuFUxUzS5SYHcwzeyRkFgdfTZlt4P5z +oVnOKLN5cbM9WWZT4K0FFyXNViNoQ45ZMXgBZwi8p7g/DZ4IzTnoJyG/HVzL +t9HwnuR9Hvg15M9E/gFkRLl3YkNxptl56YB+Dva1wDsJmQ+B12LTGmgXhc3q +wQuTrmsLNP8Wm22C/3l4Mzi7wB0lTns2w+xPcJpvZbzN5pwDx+BvzPFvemvF +nruxr2eY2VHw5KhZBfey4WbfQ9uBjh/Q9Tr0Y3lbiI3vgqdCswD8KHH6PTA7 +gs5cZHQiI3+Y2/wPuBkfVoFXoHMAvJNvc/C/iftY5K/l2+fIn4W/a8AV6KhE +9gT0n+Z9PjpastymOvAw+G8bYbaZbw/EPYaKpXyKg0cWIA+bToTdjv3Q16Gv +A5oK3vvw+dZcs4vwV8PfxL0BPI3zJfgXeFOB18BRZPRBM1Ox5n05+Ag007Oc +R7xp7E3zXsMx7C+A5q5M/3YdPMCpBndD/xx4Rdxl3QlNAD6KTdu5f4tNA+Cp +nP34shjdy5G/BJou3u+APgJexrnGfTz3keBm9H8I/aJ8syvk+xv8XYHtEeL5 +KbJWxl23bJJtioFiIR2V4IuB51C5a0Xn7ojZY4WO945wndI9HR/+Uyyijmdw +euJ+hGXTUvDVkkFb0NEAbqN+vuO9kfdSeDMKXYdkv4qOyXGvfdGItj/htTKe +bzPw/zInkjnYU9AeT3mtXkL+MfAO7B9XZPYUOqvDngPlQj22hffH0bf4BrN9 +6DvGew3v7/B+E/FJJzwHykUV3/qVq6hj5Uy5U4wV6we594Kroo5VE6qNyUm3 +5T1snpJ0m2X7aeWEezEx+DjPe+weeGui3qvqAfVCDfTl3F/m3s19LrG5gL1p +9TDfpkS918rph1PIa+e9VDHkvQ6+UdR7B/de7j2cRuQt5fsR7FuPf7M4e8BR +vm1H1iruLwz1nlsNXod9S8Jug2zZyr0h7DIkSzlULkWzHrw55bNPPbop5TNC +s0IzspN47CIfb5OPbYo15xZsuxxxWxvxZwz01fBPg/92cBu+vhU47UnifBk8 +F548cnycb1/EvDfvI38D1McTvKUj/qYeb5OPOd4D6oVnkh57zWTN5qq497pm +mGaZZqZmZwSby6Gfn/TZvBIf68CH0HcmNBijmMdcsdcMuoasC9h3KfDZoJkn +m2RbLzLvjfrM0uzSjOyOew+rl9WTXxOvfSmvlTPM573gVuhHDPcdMQb+IYHX +gHL/PnLr8e9QyHfWOnCMnfRkoc+2+qTvCO0K5fhhcFXCZavGq8E/qh5CvrPO +go8l3XfNHM2ez/g21tzng6pFbAbaS7xP0KxJed6Uv/qY91Jm4Lapp3Yk3HfN +eM36n2K+a7STtJvEI17ttNm8h/DxSsh3biX4xYTXqnyUr3/EfFao59X7qm3j +bAx7jbfH3DbK3m6O+s7W7lbNNoF7k74bFNM+8HXsPRD4rNkI3bik75465P+m +fRR4Dar21HOfBM4jWuncTS03Bz5b1HNdMd+F2tna3RN5Lyj0/lUPTY16bSvm +O3k/QfyW57nP8l3/HPr30A45HPMZrVktmq9SbpNsU01fAOfC05btO+BZ8rGN +b13ZnrOyqM++Gwu89zUDexNey6LpS3jPq/e1Az9A/l8pn33ab3+D3yjx3asZ +9Sb414T/O6hHz4P7k76btDO1O5eh66Mi97Ul33u1PfDZqp69P+650Y7Wri4t +ch7Raib8D6hlZlI= + "]], + PolygonBox[{{7672, 3465, 5479, 4355, 7295}, {7668, 4640, + 4308, 3464, 7670}}]}]}, + {RGBColor[ + 0.3896422375, 0.42122897000000004`, 0.43963299499999997`], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmG2QllUZxw/7yu6DC7uwy/PczwsjNjKVCslMo7A2IyK+BIW7C7sIfNAG +K0d5ncmslMVMmqwZBWvCSChDaqJoWnDyi34QCFJ5FS3wbdSRROQts4Bl6f/b +/+XYh3vOuc99znVf57r+1/+6zrn49kUdC6tSSmeGpFSt9v5iStvqU3pA7Yej +UxqrsZlZSlfr43U1Kc3S+yx979IzRe+1LSlVtabUNyyl59SvVf/RJsnT9ysb +U7pU62o09qy+PaLxn9Wl9Kq+jdPazqEp3aD2VsnMl1JaqffVZa+bqOdefWtu +SGmy+t21KZ2t9ziy9w/1POask8zDGrtc/ZMaO6o1D6j/rvbQpXlvq12t79WS +MVHjv2uTriNSWit9zmluv57p0uEO6XBA8+9Uu1oy89Xe/5+0doHer9H6a/Mp +fUljA6OtD7rwjlz67Bcd+YZuW3PWp1dGXq/x9xu87x9J3n7NqWjOCY0f1/Nn +jY9osE7owxj9g1rbo/mT9OzR/CeKlr9O7TvSY5TmTpOPrpJuE9T/WGPf0fs5 +zf+u2u/p6Vf/PrX36zmv/vLMft6uPfXoeV7PoVrvZZG+98o282LssJ779N81 +FdntopQytf36fl7Pplo/+PZRtQtlu39oH4vU3jbc8/bKJj/Rv3bo+zo9z9a4 +fV2YOylZd2reKbXb4l/osk3/OVVrHX5RsT6PV+zjJtlljGRO1jNV793SuVvy +Z9f7fY7aHj3Xqz+80fOxS3u1x3rUn6vvt+qZpvcDOc9bq33P19i8euMSO/D/ +B9V/rsZjb0jnMxp/t97xAO4XSO4Y+WhStWNituQ/NNSy5yTbmL2BYfrgGZtj +k51hF+aiDzqCEbDy1hDrtj/nPYBlxsHPXU3GFXNo34/+Msn6veS8OcTzGEfn +bmHlM/p2fyGljXWOBzA7V+ObsUXRuMFOX5fv1uGTGvsOH54e7v4qyfhDrX3N +HMbx/2nNfUb/26c57Xr/y1Cvn1Fyf7rapbXGOHi+XZxwTJzwkmTvUP+E+nvV +HyFc9km/u9WOL5kb1pcdI31a+4Fk7ta8lcJHXnubk3N7iWRvkS9Gq1+R/Cfy +tsc7RXNCFjFYqPN+ieV9Tf4n315sshzWP605bQ32xeCaBvt3pNprG+3fFUX7 +8IeF8G+9YwS/H9Sca6rdvqJnhcan1fqd/lbtZ4H0f1rtGyXjbZ70vbHkPW7R ++PKKfXyiYl5EDrL7ctYJfdAR3KBna4OxTUyA1fmB4VENjgmwif7gEy5HH76j +52fhZ/HhhiZzxtSQw3d0Yw6cMTfihX9d1+g4QoepjcY59ru+0b4Ah/TBHDpM +aXSczizYTstlvx8Ujf8H1b5eMMe9oXaP9Ng6zHbHN/gPPsc2J4Inj8Y4tugq +GvM9RXMmc8AJ3Hk8+qyhD/bQE/ygG7kK3IBnOPL6sOcN4TPwV100txyWf24O +H+Er7NXVZCz1au1X6sxtj+v7HMnfq/7hgn3eoXZhk2OhPTiO+DtQ5VwGrw3m +jhp/g4ex+bTwUQd+V//lKnMJc1jbHHw6OF4wX69RO5DzPObAtTuCx1rUrtZz +ssY+IiYvCV8ti/7S8B8csirmr5CcqmH+Bm8j/0LOnPZr/a8K7hSGb8nMo/0F +89z24D04Z2LssTdqDGoN9J8RdiPOsXdn3nlgW+SdbcGb9PvK1uuXmjOk6Drk +kHwxdmRKF480V03Rt5H69wsl2w1dscPigrFwk8arh3k/3TnXBV+s8xzyK3kW +zuS/A7HHfTnXLOSdnQXr/FdiP/AMrrEvdoV/Zl7kGCQWZwc+wSmYHBE5vbNg +XPcqxv8oHl3cZB6FX1eFzSfLniv1r/cLtj3rsH+X9OnMWRZ5+JHIxfi3Pdb2 +Ry3Bnu+pc3yxv03B4cyhdro89kVMwTnotOwi4xVZq8qO71S0bZ6LPAjm8Bv6 +sD8wQ0x1BOYLsvODFe/r+xXni03xX2KImMSXtXnXOy+UnW9PBT4fDU6vBAfD +CfAecQBu+P+LZe/zWf1rr/pLpfeesjHbEv9CHuO8I6Mv5JC3idFBmVpf06wt +jnHNSZ0Dv5+TrIfVP6t2dpNrRnzUGfgHX1OHGQ/ohLyqsPNLZdse3MEHjPMd +Dt8TNtw83L5Hbk/OuOwO2QMh/z9l+wS8/ErPEuqtgvHLfGKWGor8i274jNw7 +iJ9G74e9IJc1+Ku26BrpNe17RsG16vmiMVYVMslXcCD8Q74idyKX2hd+er7g +Wui6yCnUstTM1KPMY/7e4LTq4KJDkjOryXUCvNkV9eEV+uf4YeaOMaoF3mw1 +R39b+D+rsXvVfivz/+7JHP9gZ1bRsQJWwAl1+obgZGIWudTw4GlVzGFPS4Lb +qa34L3PB49LgPTCCrmDkG3Eu4HyALlMinxYbXEOQozpHuI6hnqC2xxbNmlOO +VkODZ59xYaN++fTHkn++7PWsA+MNRedc6oKbIy6Ijw9lk7daXfsMGWrMgbcb +Mp9V/iVf1BddQ76utR9o/vZW1zXEEHXW6KhzdketMzJzrbMsc+6iHiVXtOh9 +q96XZLYNNsIvl6l9OWcuP6dvW8A8PomajdqNOOgNPqdmZS3ckspee6HksQMh +M6fxY9TZWvuFknPnlWrnZx7nO7p9cm6gTj8Q9fCayHc7CuYw5pNfkL8v/kvM +3RPxSK1IjGGH1cGxJ4Pr2oMvqOeIlZ9XnDM5A8DrxO2e4Ar8VYh68hmdJa9S +3plc55gEV68VfL4c1+a4flX9ha32N+fBLTnX5dTi8OW/y8YFOoNV4rUruJ36 +el3U3sQUfeKamqstalVqMWoyfHa84rqX+hcMvh3nWOLstpBDDUstiM+oy6jP +8OU26big1Zj+pLbGVmD4tTrj+KbMMm9Ue03m8fbM9eNv2xx72Ji1cAhnQXIr +8b8wc+18Vu3izPVgf+a9H6mzv+DVrsi5nZnHOzLLhL+IX/xBHx6Dv+CxW/PO +aZuCC9C7J+ZjR+SSL+7KfIeRyzuPdERtsDRzPTuQmVN7Qv/O4GDWXoici26D +Pm+z37Ej/Idc4uWK4JN9ZWNrv9pXZJ/PtzqXUBuB/fMlY5a4Arf9YZOZed8h +XBl3HRPy5o6PC7YdNvxq3nmV3IEOa6N/OupP8Ap37So4fv5W8PfNMX9d1IPY +EMzCieTsFXHu4PxBDXYoak182Bv1KvwD9/DOeaE7zt1Z3A8UK87jxBb/mB05 +E86HU2kXfHIWr//0HE+NDa/uLDnOd5VcczM+R/vN4o6Iu6Jd9Y5NYhROnhX3 +UcU4M5AvnxQHbmwz9uGLqpzPt3A5NTc5j1gkH5OLHyu7bvtp2bHOOPF+ad45 +jbuWC8GZcOdlwYX4jvPZwTijUXtyvuYbMcn+8OtA7Iv9EW/sFV8ijzMH+CPG +qPfIF33BFfDM+eBkuJl4hvPRaXzenMFd3UBg+Ja898d+4cV/ZpY3KfNY9f/Z +gT5zqe2o8Tq0diDul7hnujrvGnGA2lkY/lyrcyz8tSXsRrs19KSG3Br8xpkC +HoHjqNGp1Xvy9hN9YoYcdbTFeelUcDC42aixp9qMnYeK9vfKonECX2FP5MBj +2JAYpI9MMNgcd2hHqHO0v/eKxh19sIf9kYMP1sfdCrx5Ju5FqG8+LrsG+ahs +nzRHbZO4y9D8C5LZqHpxrHQ9U/Z93tuR+0e1mvfhfO5Ha1pcU2Dvqtyn95e0 +4Adcgx18MC3uEai7wO9vWozhcXnXFsfki/ekyIYW11Lozl0P9UxZuj2sfqlk +nMCt4GN5ybHx37Kxyv+Id+5ij0RdwpkXOYP3RTnHLvxZFfkWLB3XP7/W6jM6 +ZwH+xXmA+9djcZagFgGfHxV8XoF/4U94Hb/An9SqPXFf9OW8OeXJomtGajfy +1Om4P4TTwcJTLcZDc5yhpke8DNo7GZtHRxif8BU+gqPQ4eU4N80r+j53vtq7 +ZZO/c5dW8vmBc8TusmOXcXLWN0vmCWpk/ELOxUdded9Rjqn4bAY+jqptr3dO +JGfeIX1aRtru+J14I+64Z5gT95PNUUctynxPjS8nlBzr5PTJwZP0iW1qO2q8 +ufr//wDAmDWi + "]], PolygonBox[CompressedData[" +1:eJwlllls1FUUxi90pqWFFhhoO/OfmTYQIzEaAR+MbCYiUdmUpXSB1gQUFywt +SyKiYguoRNFERI0iCQIiGh8wKRB5sQ9WZN80sipEWSIgiGERaMHf5/dwk+/e +c+7Zz7m3z7TGCQ2dQwjrWDHWslQI83JD6MxaA05FIQzLCaE2L4T8NOesSeAb +0F+CNo7Vl3v3dguhIBvCOe70hP8Y9GHQ6uD/Bv5h8RBqdJd1vFMIX3NWCf4l +E8JDBSG0wH8d/hhnVdBusn+ZfSv0BHfnFIawD/mH2D8M/yboHdAvo295rm3o +nwTDs6QLuti/D+7J2UnkXYfnRfifYF8ZrFO6b5dyB3ov9sOhdUH/FPYd8L8G +/xh4vkVeQ1EIs9F1BZl3YM8S7LkKvsrZR/Am8fkK+CD8w5G1kbOb3N+bte2X +uNMN+YuQ34b8avYLwWn4Wwn8UnRkwSnWwph9iMD3sVaApyP/FPxJZA4FT0ZG +HvvPkLkF+ozuIfxdFsJizrYiexv0N8C1SeeujlXA/i1sbMS27ezfZH+RO/X4 +doKcXACvgj8FfTo2b8L2KviHsH+HfTv70dhzKeaYjAV/yNm4QvsgXx7Bvt7B +OXkUPIOzn+CdD/158NkeIdxVTL2hczo8i9E5q8g6pEs1olrZgH1TwJPTxrJJ +tq2Av7nIPsiXJugLYo5pM7hPL/xAfgc87axm+BfF7ONCYdY/Met8HRxLhPAk +Nh3BhxZqOBcZNchqR/6r2N+IzYexPwebXgDHObunawjnodeBN+J/SxfXdAv4 +X1Y63zqvgYvhGUS+KpDZCdlrWM3Q5nAnIG8yPlXnWad0T0k6t6pB1WJ10nfV +c+q9GtVvnntEvVKC/ME5Psth/yMxGYttI+QLvLfT1nU/Z+OhdaBzJbg7NXoL +vBobawpdYwPZlyJvSI5tikt/2r2qmq8Cb866NlQDqoWRrHMxx2AU+BY6ViG/ +HBkd4POst3M9EzQb+pUQe3K0gXpdSQ4moO8M9IPouFDqGCvWh5A3E1yfMVaP +qlfnR5498lm+z4vc24qxYi0ZkqWeHJB0LcRY7xW5JppSrjvNpFr8+Y7850Bf +FjfPRMWf1Mxmvzrlnlfvz8Xn/fh+IGusmaTZNDTyrBuKvD/Be6C35zsmu7OO +gWIhHydCv4Z9R/Mco0HoeiXyrFPMFfsFkWtPPa5er+T+YPbVrF9Tzqly24mY +jAZv5exI3D3wA3gH63F4m1krwEvS7nXNBM2GL/D3qxLHvlI9iO8Tqf994P2s +i9Cf5iyV77MyeqQ27p77FPxbyrbojdBbcR7+qfCXwr8bnnXImlZsvBE7z0L/ +i7WH/S7Wzoxn7Xru7wA3Rp6VmskN4O0Z1+YA9g/g38dlnpWtxPwT8Fx4Nise +0OeAL5V59qmn1duy5VzCumTTSeJ9IM812A95syO/HVXcnwXeSY7GBOdsFzgq +D+GZYvdwE7bMjPw2TYKnHpzJeFYrJ8rNKmJ6A/kP6k1B/mHoIwps4+3IOVAu +1JPbNEuJfe9iz1PNvHJsbit0jBXru2V/D9foUs5PMUzXJ5yr/dTEWeU01zP2 +TvTdyJpP/KptvRF6K6qx8Uzas+00zJOKPOP+SHvWV0A/Ce5IezbLh1tpzwjN +Cs28Br2PrJ+7euZp9p1OW7beHL09x1LuFb1ZR8ED8a9vL8/eqeRlMHcQ97/N +Q8AJaG3FrjXFWDWgWpCOkPUfQn8Jzajx8H+fcmxV423gy1m/vceRkU+uBmTs +i3q2vzA87+a5B7aDxyddK/oz6O/wbMa1pTfpOfDatHtJM1mz+Snk1hOvTdiw +V29E2m+pZEr2hKT/Fsqxcl2X9F9JM1SzNF7sHlDtL+P+Y/jwe65rULWo2bel +xLnXDDwBf3nCPqlHPk84hopdRZH/FPpbSMbIyLOqNWHZmlnpMveGangUtoxL +urb1B9Ff5EtkrU1Ylt5c/QH0F9Cb/QH21kZ+yzSTNJv0R9FfRTVZAV6XcA2q +9lRDTZH/RvoT6m+oWXEh4VhpZih28YTfUsXwP6+Xeb0= + "]], + PolygonBox[{{7677, 3468, 5486, 4356, 7296}, {7673, 4642, + 4310, 3467, 7675}}]}]}, + {RGBColor[0.4543818125, 0.48277035000000007`, 0.495164225], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmWuUllUVx5+ZeS9zgUFnHHjf533eAQKBD8mS8gsuBkqzVEDUEIRBQMRR +8kIGmF1RUBR06aqAWpoGupblJaBaDWS60tWHGUArQWBaQd5viSY3u8L0//Hf +rD48c857nvPss8/e/733/5wZvmDx5TfXJkkyRH/q1D5a0Z/6JHlM7WNljRWS +5LqSxtqT5IGBSVKjdvppSbK9LUn2NifJoZYk6VV/l/q7cp7/stqtA5Jkt8ZG +NiTJ6AbPHaV2jJ59zR7bp3X26lmu+dvzkqNntp6ler6k526NF7T2VC3fI12G +6XdZSmq5k+u9oudMyUky64zud0q/xRpfoXa8dFmlb/Zqbz9otk5rJbeouReo +36p+vdoGPWeqf0Jz+vVsyntPH7d4naNqv6Lfe9R/Xnt/enCSPK7+zzT+lPoz +1V8wyN/vkn5V6bNGa1TUzm+y/Hlqz1Y7Ts/jBevA+ujXLl1/L9sOVTtWvz/U ++9GSs1L76SnKDmoP1Hs/OX2zt8ly9qg9oN/79fToeVr6PCl9ZjXbztj4Hsmb +p3dH1a7J+RvWQP7okm351pAkadHv1eil39PU3qHnec17sGz5O9R+r2zf/FXt +E3p/TsgZ35okE7TuRI3tq/V3b9VIt7J9OKNsPzN/bJ33PS3kn97o/SCHNS+N +8ctkj0VS5oWc3++JOWNjD+MSY+22wNuLZcvcqfa2NEkW6n2t7PZN9a9VP6f+ +t9XvUr+g/q3qX6P+6bLBi1rnq/p2h/TakLed0B99Dxes84Cq+9fru+/quQ7I +Sc4R+X3DIPt9c97YAWO9YTfsdyznOStlm+36vVK/p6u9RHsfLh/9VnLvKxjf ++GGqxodp/BmNvap5s9S+pvZZtefXeQ+Xas4IzXlOY63So0t7eDOzvS7R87b0 +/5vGO2X399XurnO/S+1NcnprqzHSp+/ek4wx+ua/VeNlptbqV/9++eBE1bho +ibgj3tZofJT2Niz8gS/ywmNOz2z55qbMsX1DFtgL/J2bC/zKDvuLxjnfPxT4 +Jw6+qH1VtUan5tXq+yWSU6P2sN7dIBseabev5oWf3tbeZmrOZzSnd6DX4t02 +6XFQclbUOh/Qf1c2OV3zF2rtNzR/Y6O/Zbx7gG0zXPPP0kYPKs67Co45dCBO +kb1Ua5yhtkMyDujdUHKU5hdaLIN4JZeh/9ySdRohnV+p+tvdaus0Z6q+u6DO +vppRb3+hC/1FidfDltiqs8l9YgsdybPomTX4HeNXpPbj9NT5hrxDTps90HHC +N/iYOfiN91fHnGWRB+lPk00+1WCsncprYBu/M39kYO4LdY4B8hrfEi8ft9uW +G7TvPsnZp2d1vdd+OXTecyoPJsb7mwXndGIkLXgtcgBxSB4AC3OavNc2+e56 +2e4t+e72zPg9XjU2kQU+dxctk98/ClwjHzshh/rC3tF7mPSZnHr+xWp/Ir3f +kf6zK8YWc9gX2O6Mbyel9vvE1LaYH3LAwYGIk75a+4RvyU+zIkdtKTgGyCfU +OnBCLnip7D3/Qe2XJfcR9Y+r3y3bHWq0PDB/R7OxTZz1noqjvGsAcnqj3xNt +b4wP0L46ZZs/ylYPhT/A0cPtlvljtRdrbL5s93mNz9L+N6l/VcX4xOZg9bXM +cxaULLsndNgijCyRnE9y9tuOiM1FqXMmuZP4O9LoeCRvgp3OkvN/TjaclLhG +0Cfvrq+6Bvyw6rF8zPnLQOcy9Cenk9tnlVzzWJ93d7dbn1XtrgHUgitL1hd7 +wSeWSc4tmjMxb/1/Mcj1i++2RJ9ctD04CZjDDl2Sk09dw/vJc02uT+yDmt8X +mMef9xdtD7gMsUAt/PA05xdyy2T9XqA559X5fV/MoX7AVcAVBfnqov2DXObh +C/b7cOx5RXCeQ2p/J51OyNa7ZLcpOec6akYjsSNxc0r+jj3yLTWD2nFtyXwB +H1EDXs+s2zUl56vrImehN9xnknR8VXPmol/J9Qys3Vmxr9EHOSe/KTpfwP+2 +DXAeuDDnbz9X51yMngsl56qwLTbuJ88XPbdPdhvb5po0WfO3yhbdVe/1uJ6/ +R60+q8nxxTrdsVYt+yvaHlPjW2R8us18jv1Qr8AYGHw/NQ+akJpnnR1cKyHX +yD47Mq+zJbgBvxnfqfY3Be8JbtFQca4sS85gvV9b9DePBo+CT03R+NAGf0eO +J7aJqd6Ic7B3ruyyUe+T1GP5GIcfEK/g+8/ax7I2c3T4BJgiNj6bOebPyewX +6uIHans098Y2c3HGtsY4++qLvcF3seOoyP3zI/+v19rroqYvL5sL/Fu26dBe +Jujp1z67m5zzqGvPDDZHJKawJ/GCj2n3Rb+26nVr1L6gvYwZbJySS8h95BNs +vC9ijfgldqnFq8uutw+2O0/ng4fsqXreXnJJ2eeM/opzcE/kAbBwuNG59q7g +2/DuGrBfdIwODV4GJsaXXLv+Ic48LzWHmZu6ppK3RyTmgN9vdhyPK7kO/VPr +DxdHeL3N/OmI+m+0+QyzJDO/X5oZy+R88AxPhevNLpnXwYfJx7w/HHOI2VHB +c84vmZcXpU9NxZhqS+1bfMycjcG50Bd/8w4fjYkx9GesO8bxIX3i6OyS3380 +xDwObgRWuwM/yC9WzB1KqXkkOWCl/JKvGJdDUtfjdQXX646C98ZaM+K8kGVe +l3eM11WM9cGpsYX/8B1y0BudwPYHwfGwN7yWd+jK+8tT84tfFp275lSMW/A7 +v+LxeZwL8q598AD4NTybvInd4KzYDt+DgTmpY5sYX556z+z9O6nPhU+0mEOB +owWBpTWp8+m9qdeCe8G74FeXNbpPTJPziGv8+WrRNfH5qK/wCmKBOKAmnhPn +KM5H55U81i8dT2A/fXtRzvWNnE9MPRIckD3AOeHB8E5q65XNrqHk3bmRe6kJ +B+MsSb7YG+d37M232LxroO0Lj4OnP1fv+kKMMsbZZ2vV87ZVjRVwC67ABNj4 +ltqXq8b1LWVzIHQ9ofY/VcfNv9S2tTnfkeuoudRFfDQ1aiT18U9RG6iHfVGb +wRbnfs6JnEHB1/31xt+wzP2hmWOMmg0PX6S1Drf4LoPayzjy4efIgOeNyzx3 +Y9UxRz6nBqAPGEI34hz9T/FoWnwNpsH2N1LHKt9/PfX9yrEW2xouQN6FD8AD +OBuS29dH/sO2yGAc7IBBODx1H2yiA/UXP46OXLEr7k5GxvmTcyg1A85LrmUt +6iVy4GrggH2BSXjNqbMyGAa3xBJ3MMQnsUltoEYgZ3PUC/RcF+djxslhhyL3 +cj7mLE3uvCHOj4vVTo77H+6BiHvkU3PRhdqJPvekrvGrU8f2zLiHgbN0BW95 +N86JnBepU0ncO7E+OReODU/vCK6eBa+AN/98sGsSsYO910ftg18QM3DRi1Ln +tGNl73F97Jc4JB5vzFxT10b+QvaJkM+90ZE4Zw2smGPDtacHb4e/V+JOaZ0w +NqjifAJHWxfnJ3IcsUhMEstNFccvHO1XRfM2bANGuF8AP3BbOC61c43m78SG +Fftg8yn9m13LNsV55WR9zBlb5LOuuD8il1+YukZdH3VqQ/gTOWDqaOCKGk7+ +ou7fnjpP3ZH6DoTzG2e3VRXrRW2fUjJ/eimz/+EYYIBYx7fEF/7sCO7B/lmf +mCQOyX/wMbDM+RY835maW9+ldkVwzZWpY4AYwz6rUvOAu1Nz8PnBw4kV7m7Y ++9GIQfYGd0Q3cEXbEX3OsNgZzkYcElfosC7sTDwQUzsjruCqC4OvnuS59a5H +k2Nt1k1CF/Tl7qQaWOqLewHyErn32XrnX94zD5tyDuY3+nBWJ3+/U3GewJ7o +SGyyNrmYPE4+py7URB3D/9SuvjjnEo/kCOyN7Cz0qYdjtxhDJ2NDdv6k7DjY +X28egf8vim+vrhivCypeszPWPRL3q+ApDSwTL/iNdcl7l2be7zS1v67aZpzp +ydmXxH3L8dANvd87I0mebHHNY87SyPngFpshnzqEDaZkvlt9qsVnL+Lo4liX +/Hdr/v93KfRZG78ti/69Fd8z3lcxXiZGXHTGWZszN+dR9J8Y9zHLotavrRrj +nOHwXWfch4DnKeELZLAuebg7uBi1FR5MrQIPrXGnQp8zz8w4x3WkvuP7oGxe +TH6C13GPVB931+BucuCNecw/WPbZgjsm7hSKLb4LIy9SC7HlVSWf3+En8JSv +Zfb7LWpvzhwfcHPOXrk4f43UWWFEq/0NTnKhEzHFe2J/TMn54qP4lnpBnq2N +uAHD8KbDcU/9gnRraPP/AU7yrAbbilxBzoRnYm98BjauKPmO/qey+f8AqzpM +Jw== + "]], PolygonBox[CompressedData[" +1:eJwllllslFUYhk87tMPWUgdaO//MtCAEuFAD6A2GRUESlVWEsBQoFChU9k1x +B4EChWCCoEbEBEhQFI0rIEIi8QIUcGGPtLiFRQKyI26tz+t7cTLvP996vvW0 +qZgxeHp2COETTiPOylQIB+IhfJ0TwjLw2VYhbE2EMCI/hMOxEO4uDOFiQQiV +uSGsygtheHEIE5Dr1zSEH9LIJUOoRXYRyr4C50YhdEDuIvzl4CslIcxA19ms +EC6Da5EZgOzn0HOwV4a+SegbyH910N7iv3jjEKrRtxk8QfbwbyInwffp2/EL +vBL5jtDy+W8c34GzGHvdikIoxOeX8LUHPEXwnIZWD14APQ5tD/d7GZ/W4PcG +6BG0Svi3Z0I4xR3m8v9S7NeB93MGQu/TPIQ8eC8QizvRsTnfMXmDOy0EzwTX +wFuKjT7cfzI2C/GtC3caxn2qcLEzuFv0v6thOfzdwVPQdR1/jqKjfRNigY0Y +tJH4sxF/xkSOZS1Ct7j7n/xXA+1n5JqWOmaK3S544th7BP5fcx0jxWoa+Yyj +fxv+7+AUwVMF7VF0vIKuBnxujb/nkBmKbGWxfRePeC+h4wT4NeidoY2CpzP+ +d0JXM+QL4BkPPYtTDa0t8diH7nJieAd4sP6D/03kHwO/zn9l0L6EZx04gc7r +OZYZAx7HGYOuck5z6ea7Im4bsqUYKBYb0HcftEvEoTFnNfFr4EwlHj2xd5yY +TwNH2Lw/Zp3NkG+i3JHD7c1dAxPRUQltEqdVykc4xqmJXHOqvWzOMr7TnF4x ++9QCWgnfD8asoyXfGb57x1yzt/F9jBjN426tuOMX+FOBvbFx16xqdxMn4Gt/ +fvpCO8d3JfJl/HcePBl9V7nrjyqaYveceu8z/suCfgj99dTNJer1+4xjptg1 +QH8xsk3ZnosPR6D/lrLu3ZyN6OtCv7RriQ5iUdEC/oR7RL2hmB7OWFY5Uq5G +Kl7BPaxengzvFWQOwdsOP86k3Ouq+bPg0hLnugyZIch2xN4s7H2IrfXIPISP +qAhr8ffhyD2kXtJMWoH8CGQmQu+PvZNpH+Gd8MQUf773cPdV2GsNfrzQNa9a +V08NiVzbqmHV8oWke082O6A7nXav1yCfAedyl3Lq42See2Y2/LPyncOjxGIA +PDfg3wX/IOUi7dhvVw7B93LWNXYOlcsl3P8m9DnoWAr+A33JmHu0r2YBPqxR +r3GnfsXOiXIzhfhchT8LfXP47qr+RPZffOhInJeh8x/w1YRzoNgfzndtVxUa +q8bnIl+HfCPyNxM8Bp96gj/C5ljwjoxnn+6kuw1M+266s+4+Ep4z5PN9+MvA +LcndXvQfz7cfyuXOIs9a5XQdMgtzPTMPgFPMqGmF5l2A7i0J15xqbRg6StPO +XXfNPPhnpN27L+DPdHB1iWMn/WXQh3NW4csgvg+CL3ISxLOO757Es0dk3B2e +8+DnIs9G1eyz4NXwz8/1jN0EXpzy7toL/xLw0sizTD2sXi5POVbaEdoVyyPP +AvW8en9J5N2jmaDZ8At3bZPwjD6C3/UZ703tigVJ7zTtNuU0W71JfE4UmKcB +3jx03NXMPV8FXptxbU7GzBrwosi9/QD2UuCFkXebZpxmXduWnomaherpFZFn +mXaSdtPvSe9OxUyx007TbtPOHVrsHCgXIzRzwKOLvbu0EzcmXYOqRdXUHPwP +kWexdoh2yXLutz/uHClX2hHaFZvhGQ3vzaR7XTuhE7r/gt4+x/H6O+Odp92n +HroH/beS3j3qGfXOOwm/UfQ2Gc79Xs14l2kGaBbs5ySaegf0Qv9Wau3thGtN +O1s9oF6oRf9s8Ky0sXpQvagZq1m7BZu9te+KHftB6DwFb0PKtamZHdLOgXKh +mZ4HrT7pXacd2bXYs+RcK/uqmbKoxL2rN9FicAUyH8fdk+rNpSnXonZkNfjb +jGenZvx3Gb/R9FZTjGvkC/Z35/oN9Tz4YNqz5AP1H3h0yr2rGI8C30j4zaG3 +xjF8+CnpXKsn1BtToQ0pME09rppV7crHcSn3oHpR76uA/5fRdy3hWtcO+Cbp +3tQM0Cx4JvJbTzP8afVWiWXnYSeH2o9HjrXejHo7PhV5tuuNOR/8LrrfK/Ku +0Ju0Ie1aUo4D8Xgy8i4cz+cTkXOkXCkmTfD3WolnqWawZvG2jGe1Ztqn4L1J +7169YfclHTPF7gQ9mA09K2OsnlRv6k2jt43efOvB/wH0aIy8 + "]]}]}, + {RGBColor[0.520089995, 0.54506703, 0.5512831924999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmX1wVdUVxS/Jy3v5IIlGEt67971nAVvBaUVB7Iy2CtNOS/2qRkAFjRpQ +EBH5iAFn+oe1ovKpWBVorW20U51xqminrcBMq/BHZwS1rWglQVGrVrHETgVB +OlO7flmbqX/cnPPOPXefc/ZZe+11TkZ139y5sCZJkq/rT63KfH2STG1MkjqV +v25Lkqc6kmRmS5LsrEuSN/VcqT5Pq/1JtV+p9ik5v6N9V53re2Srcbh/Ux9X +TJJ1+ST5VylJ9tW5faW+W5UlyQuFJLlb5cfHJclp7UkyV/3uS5OkoPYfpx5z +X/Rfp991ar9H5b168qqvV7lR75/Ws0HPGv3OqX2tys3RvqLGY74YdjobXb9K +z9n6fURjnqnFn615Pqp6jb6tqSRJu/rtKifJRK1lgp49TUnymdb+rubZr7V3 +6f2tsnGynv0j5Cu9m6X25XVuPzDM/qkLPyyRrQH5dZHKrfXuR5/miufQo3En +qf8nqo/XfMbI3t811tpmz4P5vKhyqr5bpme5fP6gvmnQejeobBlumx/J5o2p +7cxXOUvfjW9Ikuf1e4LW+BOVR7UXG/WuUd9uUnmc9qBH9mbrfZvqt6g+R/UW +1Zeq3q16n2y/pOdezXGankX69nzN84Oy6zepzwj171X/61SvV9vigvt2qH2Z +2q9X+3vqP1/t81V/X/UFqt+o+qXqt1D182Tz4pz7TFV9WGuS3N/i/QQXNxfc +FyzcWHDff5T97QLZ+Uj1XtUXqf6s1vpAwftQ0O+LNIfFer9fTw+21DZcc1ui +9mtVn5Fz+4Uad7swuVk4f0xj3596PQ+kxtK+wPovZH+U+k5IvA9L9UyXjVtS +7yl7+6HGWqL2hbLfqbZ7Cvbl5SXjcaXGv1DvntG7Vn23Q23L1OeynB/WcpHG +2M8cNM45sW+3FDxfxsP+BbWO1yfbHLMzte+nat+fk91Tm+wLcL4xYmW0MHmm +3k/Ss042Xma/8t7ju6qyKRsrVI7Tuw9jneAO/K1lbqnbZ6icrLbPco61L2m9 +azXRatl+ejN8tUP+HKf5PSy7zXrfTrzqm2/kXRIj18rWoH5fo3K//DJT/T5Q +eSTneTPn8Tn3Gav55LWuEY2O43cK9jn1uYqZLO85TYFHVJ+sclTO9RNqjQti +E2yAacbA/g75r1lx94DmeVjvO+r8Dk6kL1y3QTZS2TgJPuzw2ljXAmH1efU7 +qn7DZWN7m7HboLJRv7coRq/SfE+Xz3fIxlsFxylxz3ooJ8vmkZHGVJfm/BvZ +fKbV9uHdzW3m3tHq+27M4xHZPCCbV2jsuU1eD2s5p+D1su49Be8X+7m74G+x +gY/5Dj7BDr8Hhxl7tP9T9QPagy7qmTHSHTxwetE++Hik54FfNMWk1Gj/grnL +Vf+q5vYH1a9Q/Wuq/1H1bxW91qTotT+e95qxwxyx+229e0LtDan3jPlivzNn +3vie2t4oGA/gYlez94z5XZh6jRektoGv8W9fzB2eJFe8r+cS/KA+5+p5RfUB ++a6/xn3ICYyB/e7AAt8f0loONprLk1jLPI21OvDFPMkDyyNH7BEXLNP8+iuO +JbiDNZ5V9LrZc9oZh9/wAZgGz1dqnNPkt+15572bCvbBa7Xel7kq+1rNkcQg +vn+r3vheqjhcAU+UzFHwBfz2dMHzG1tnboOn4ZDW4c4l4GhZ2XZ6y853Exvc +vzG4B17CD9vU5xP9rqTOM3elxs/UyFN9Ree6qzP7A5/h40tl9znVO1U+UjTu +PszMJ7QTv+iR74Ym+coJSfJlPYnWWmhyPoXTs9SY+pHKNDXWfqiynJr/Vqgc +UMxs07rO0BpeDO6Fg/+s5xL1eVnl7pz3f0yNx+yvN2fmAiPkI8aFd3iXj30g +Z9VFLgKTW5psh9gZk5nDyUuFyF3kzWrq/VyZev92x7izhJFc3r9PTM0Tq1P7 +GL/hxxz5S/ValWOLxtp7I83dxCf4vK3kvfqv8PYz8fifZHe0yp3ioU/FIa/L +H2fJl9/Ux5P1zSr171L/h6rG+eHAOlgG08AcvYZ2ot+2Dn/Pt/jvdj3b1f++ +kvPEWyoH8FNwNGu6NeJrm9q2Npmzflpyjnip5FzE/tyBZot23qPZTmnwuMTQ +5OBlnsmB+R2RL/H5bq050TfPlY0hcsGrtc4z5B1iG46Gq4mhazLHQxc6qMXY +wy65n1w6RfXvDPc6+X5kZn2ClplXNO+cLL/9suR1Li56rTNjvY+GT/BN03Dr +426tf1OsgfmTG8ABGJhedJ5pVjlduWWX9myv5nFU+7a43VhGR7DffaFtd4Wm +3R4cN8RvmtN9mltd1VyOf4jH3xWstVnX45FL4S9wDJ7RfP0a93SNtb7ZeqQ3 +NAkxB/bhlJqyzwy/yryOTYEZ/P3bgu2jU3qCL9bUu0QLXpe5z5zMfLYgYunu +1PoTHcq5gVw1OmKPGFycWPfN/0K8UaLhVmfGCFj+VPs/GNoGLHzeYI7CV+CY ++L9H/V9SfZ3KO1KvG817e2p7aEPiivg6T22rUutbdO6dqTUz2plzxsbYR/Q1 +uZYcdm3mGCQWb0s9946i8yXcPy01B4M94hptuzA4Ao6GqxkPPYXv8Bs5an29 +8b6vZC02U+WYsttHq9zTaO6FnyeWI7crJuqO15zbrftuEP7m6Zmg+qjMe4Qu +PjGznkS3gvVLIq6J786ob4r1Du115jmjwUuZ9xFdf2y/mUMl8xmBswJ6D+4i +Fg+3mY/gogHh7QftxusLKpfqeaPF42wK38Kb+Aa/t8mP81W+UvE5Y1HksIvL +5sqLytbjSyLnkdt4D7bIi8wDzUleBMvDyuaF7aEN8POO4JPOiAF+b6z49yaV +/Y3em7WRN/hmiH9y5oFXYm94f6LszyoZj3dWndfyEUfgZ3Po8imhNck76Hd0 +POs9N7TFgZKxjPYAz5ztOOOxLnQWegvsor2whR00F9praegKNAVnTLh5Ypxt +2du+4A84Ez2Bz4lt5vlY5jmiZ5knnE4eJP+SY+EO7HNWxuZTedvlN9yyLvQm ++YT2STEHNAXaAo1EPiAv4EP4Ht6H02gjZ5AXtkTuoE4s06crztzYGRv9t4Qd +dBP6iTh6NHQiOmtJyf77ftl6HF1OfMFtZ4ffxkVfYhUu2RY56/cVxyu6Bm7+ +T5v5+e164wp8odfR7UN5Jm/s9sQeXRx8xj7CTeD46tRcnE+9dvI16xoVPiP/ +ErfExKQ4tzEm+XIre9jiWIbXH4ucdTB4D601rsF1xmLfCrF35J29zc49R+Ks +yNo5o5Hz4ICuiDVirjn13g6TD64uut8TmbUMMQYOiWfuSCbGOQcuw/+1VeeT +GpVJ1bFATCyKu5EelRfEOb0QdxXsAWcCtAR3IE8FjtLQ2MQgfLcm9g1cjo/Y +uTS0GRg4xgHYoM/QXQC6pcV6B/1ILiF2iKlpodN+XnWfh6v2KXoALQEeOCOz +BuIITDPu9Vnk18x7tTf2i3w0KbRNe8QZfNOUWa+iW/EZ9z34bWdwARzFN+wz +2oC9Zp8538Hh9CV2Xg9/T4jzFTF/LDeCOdZ1sOoz6qGqYxhb2EEXgwPsk4P5 +llhmXnx7DKvjAktolzUx/0nas4fgq7Ixe0pgjPluC5voVrDIt8ewyLddobu6 +yQ+KoyNtxjHaG36EG+dorNlN/oY69uGEU2I+jHW45LPnEZU3BD7BKVoRPYeW +g1OxC7b7o4795sz+yuLswt4fyzNgqCf4jTpYAs/wBZgmVvbG3crbJeu9d9CA +FbfXVpyHyEfPVsyLYGWIGxsjf+R8zwKWPqk6b++JdrA6EPqZ7wbiW+4m2Dv2 +kLxOfp9b9D5wfiD/cEdwNM6IcC34HDpva/8PthrD6GP457WK44dxydfktP6I +qQcr5kXu8Mhn8Cp7SrwTV8QU9pI4f06LnAQPoAHwFd9z7huIMzWxyLdwQhY6 +lPmgx7tCk5PnyHeDJfMo9yCcNXqDV6nDxdxZcG6E18fGXdwTX7hTQffSj1zA +3Qb9aesLPzDn81PjBxyB/c7QlegjYoz4AoNNoduPz4wVzrv8Rs8Tp3DD7PDt +B3F/dUbZ7/kW3M4o+n7k5bLPaZyz8Qn6vTH6cBc+eJy5vKPd2ghdhHYbcYLz +APHH2IzLmX1ezHNV1T5aWfUayeXMB5/1BibA46G4u+CO+aQ28w7xTqyjU6tx +j7dB+z899X3F5yXvP3wEBvAJMcmcl5ed/24tOzbnRMxODK0JLw0GD/L9MU6E +P8EGdw5DPKbxejWXv6l8teIcvSTOTbNjrL+UrFf+WnK8XBZ3EYxHH7iFnMZ9 +PFjKR24tcI8UuYrzd3vmeOaczfzw4ehYV3fY4RzMfDjfzA6c40/yVSHuARiL +ceYGt5BfyUWsqTXWRTw+HP4nTolR+t8d/wdZk/0/zskj+BqfJ6nP7XDrmGqc +++Lshz/BNvhnXsMCz3DJYLRvqfg+dKvKf1fdxl3L+HbfcaMV0HfwI2dOYqIv +1og/5oZPqLfGvRA6aDByWXOcVXeWHOsz4uxyb+Y75fUqWzNzKPcxfI9fwDzY +AHdjQ6scCk3LXWl9m3PS/wByTHMd + "]], PolygonBox[CompressedData[" +1:eJwtlllslFUUx2+XmWmBtjDtlJlvvhkoLQgvEhZ5cGGJxiibUgWllAJlKRYo +dIfEB0EBoRQoW8EgmpQEI1FAo7IkyvJggiwuiOwUJCSAAhEVion6++fwcJL/ +vffcs91zzj0F5fOLq1Kdc4egdGhG3LkvQs7Fg861RZ076TsX6+TcXtYnwIGk +c+uynHsz4lywh3N17J3PcG4pl2vBWxLOFXN+hHUB6+Gec5e4OxSZt8AdMee8 +NOeusTeG9Tn4G+HPD2AD/KM9OzsF//Xuzt2BPzfNZIzgbAX2rUD2Uc5XgqdD +IwJm80xwTa5zB/LRC//nOTjEnQ/BA4FP4s827F+S7Vw1e03InsKd31Oc28P9 +qeBa/Brf1bkL8FyEZnN/OHcHdnGuC7ZWc16Vhw7W5zlP5bwNWQXYmALOgPqC +b7M3zTOf5FsDPp7h/jL0r8b+Gu4uBw/VHeQ3wT8MnMpeC7wVrBdjXxN7R8AN +8KwEV+DDQnAjMts4z2B9Fds/UzzB86E61vVQL/y5HTPZhMT15WwHvi3Ah7Po +348PD8LcYT0w0/amemb7Re53EP+t3F/Cehz0PfhT+AchbDqxLYF/K/aWYcu3 +2Pw+eGbUbC0lZ37F97vI7gJtgDclx95Ub7saef3gzUZff+J1j/Uc8E5sziIg +q4jRx3pf+YO8EuRdQd7f6O+AziHvDLQbvAd7toFLocOsO6OvNWA676LvLPre +Uw4g6xl48yOWw8qRfvmWM8oVyShCZ2PIcngz7zWDO/Xon4T+q+hPwcchmfaG +Lmk1odq40Jn6gX8q8b1JfkxC1gVk9M61GMh3BwWomUA3kyFZV4lpCfcXQevB +tVBdttXEWeQtQv4V4hHAn3pwHjF6HF0P4K8HN7DXzvlGbM7G1hSoHbyT8+fA +GWGzSbbs471Pxuwtnwfncr4fHRWcdeDPON/etk+u2ao3ngVPI8vJ+H/Nt5xS +bnWCNqO/DzSW92tgXRi3nFHuqCaekj3I3wWOcD8V/CP6i4OWU8ot+Szf06Ht +4L3wHMiwmvwKnIctRyNWi4pZb/SNSbMcL0DfLwmrrfvEpzv6/sHfGvgHZ1oN +lyJzTch0/gDe4pntslm2b1T9sR7Nugi8XDUbtJxb5llt3A9brqlGxCPeGu70 +QP+quPUi1UATuJXzzJDZKFsHcP9OV6tn1XU5NtYieyLxaCeeO7gTxN9S9sZH +rceo1yhmb3C/EBqFrAXITMCbhKpDZvMGzqqiZkst1FO9kb3DQcvZd8HTdA5+ +HX2XfXtjvfVBdL4C3s17fxK2Wt6RbbF7GLbephiqh6uXt8BfCF6PzFDIbJJt +25F/iLO55Mqf5HOmZ7mnHqheWOybLuW0cnte1HyRD/JFNst2xWwT/C1QEDyS ++73AN6ilPWGr7dOPeqx67Q10vAaOcn8O/AH1FNY9oRc4r2TdnbMT6LwUsD/j +OHgO+udyNg/y1B95m/4R811vVBazvqD+kJ60P1B/oWpkH29TGTXZ0indPfCv +GdnN+NgTXID+F9NMR4zzNPbqOHsaGRNjlqPK1WPImw0+jUzH29xDxs/gx5J2 +Vg5PH3CzfACfQN4acI5nvV49U73zuG+1NRYxo6PWI9Qr1BMawavjj+6GrBY8 +eK6D06FV3G+P2V8iHy6DC5PWyyuRVwbvBM9irR6qXqqerN4sn9LVD337+5XD +qb79WYrjl/DPUq76ZptmhBrwrrC9qd5SPbIFnpMh81G+3oIqOCtTDwD/Fjes +HFOuReif57paLaVh6w29Ib2ihPOb4JGe/XWt2DAKXOnZ36KeqN6oHqZepj81 +Av9k7B0WtB58BfySb2+hHvQy+Bq5UYjNzVn25/yXMFzEXh62tCbs7dUjN4G/ +i1ktK+eOge8l7a+XjX+A34UeIr+BvZX6Oz2bTT5C/xRwWsL+EvV49fqHMfu7 +NDNpdvopYW+jnDkFHoKNWzMsZoqd/gD9BZrZJoAH+xYbzQyDwA9iFpsi1gM4 +vxuzv1gzlmatFUmzbfijWlDPUO/4mnVn5JfHbVbqi3/TwH8lrfblk3zr5Vuv +UEwVWx+e+SHrGevwpzpqvX4SMWzD/sWeya7Gnrc8q3nVfpVmUO7OjRqWDMlS +zap21SPWwrsUOhi0nvoOeI1nvUA1qFrMitjMo1lnY7bNBkfChjUjaJbLDNvf +qJmu2bPaUA9RL9Efqb9SM8kU8KuexU4z5XjPalS1qpnyA3BF3HJfM6lmU81A +moXUk3NZhzx7a82Uz0ZtptBsoT+nW9x6hHqF/vyFvv0R+iu+YS8rbjOQZiH5 +nBO3GCqWyoEnOPs3YW+jHFWuvu3ZXf0BSzybeTX7qubWcr/Os1lCM6RmyQVR ++8s1A2kW+h9FAZ2M + "]]}]}, + {RGBColor[0.604478465, 0.62193021, 0.6187370974999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmXmQVNUVxt8wS/d0NwPMMEz3ez2jzLCIJnFhB/clqVTFWIpxAxfcAE00 +iSIwYFxAXFlcEhUUE5ckaqxUqlJlaSnGlPsGGEVUGDZRIyq4FWqi5vvxHYr8 +8fre9/q+e8899zvnfOe8gWdeeNwFvZIkeU8/tWr300+5mCTv6/7H9UkyuS5J +TtKzM9Quyrs/Uf3xjUlyhcY/1ZAk49Q/Vs9rdPXTf1v17pulJBml8X11X5Mm +yd0a10vtgFySzNO4qbr61Pl/1nq6wXMep+fPqH+g+hPUn1Tn/pVa61T1D1J/ +rvojq0lytdp72pPk2QY/P17jezTXaPXXqR3T6P4sjRui8bdInsFqT66zzJfr +eanocWdory/2dp/xj+n5fM0xWNcK/Vevudeqv0r9lfUeP67kPSD/c1mSjND8 +z2bW2ST1P6uRfAXJrf4X6p+n/hy9N0zXsZLjCT1/VPJ3SScHqN+o9/ZMrdMF +ao8qJ8m3+u8PmvMZXcM15mm1o7RuUWM3sa7GHiyZf1brZ6V4/kbJ8nDfW1eT +ri16vjjvc5yvPa7RmJF5/4fMnDc6fa3Wsnwqmb+qJMntWuPrinVQqLMekHdN +g8e9XfC7YGNMyeux1nfNSfJua5JsaEqSzbo26TpSsn5VcIt+SxpT1PW43pur +9vX+SVJt8rxTGy1DWnT/GM2fl14eYF21vfV8ip4P6uX/p8R4zpYzBpNNGvc3 +je+TWt5pjZ774AFJsqyvzqdk/Z1WZx2+pfvR2ltzrD8t1h2i91/Q+7enxnhz +4PzQRtvGiRpziPqnq39CrfEIXsEkuMZmwDZYBtNge7X2Ok97btd+D5Cetkue +qVpjlPr7tyTJwzr77eBJ8mzLvA7rcXbIQp91e/T+4eofpuv5BsuBDMhC/yqN +X17y/+hqbcE4uBFcFP0umOScFvf2PfpAL/MSn9MRjbaFwxpsR0/p/0v17hxd +N2i+OyXzWf2kJ91fVWuZp6ndmhn/o4T3Wt236L2PNc9sjW/VHo9q9LP+8Rx8 +tQbG1krmsXnfv63+mLzH3aF3+0lvW/SsRmv3Kthml0hfe2nMvtrLT2U7derf +p/UbdJ/TtV5zDir6nj77ZL97636G5Fuv8dPVDte7n2qu2/VurkP71ZgGtcNy +lgUZsePZYcurS7ZN1qjTuJv0/2kV4+hgXaO174u1brOujHMp2M9Mrrdu8BXY +HX4AbGJ/d3XYHw1Ru0X7HdJsWfFXxaL9Gnvp0jWozro5hPXAoeZZr3Pq0vNX +MsvxcmZ/fFDePh67P1DXsFrLPi5v2er1Xreu1/Vue2bf2iXMvyIZ/ttsrGET +U8OO+uWMFfDWFz9Xbxnw4WCcGMEc2AE+fN+c/Q0+oiszjrGtEZr/M+F/mu4H +ZsbxYD1PhJGZ+m+j1r2+4H0y/zUF7wvd4ufG6+pUf2XmMSvUvpoZP6vUXihb +K0j+x/AzkuHKnO3jyarx85b88MKCx/9Q8+yR2bcOkgydqfdzY2qs4/vBZ/9a +674tsY7Y581qH82Mw0fULs8bJ5/XGCv08VFvar0deveiivfJfm9VO7VsLLeV +fZ59Y7+n6/581KF2rOZdKvnHZZ5vTsw/XVjoX7QeLlE7oOjzBZfD43wHpo61 +i9SOLdlfdxCrNddtmnN05pgxIvQ5uuR4k5Xs47sjRryQGUPPqz1eOimpf73e +u1b9Yt62vKNg+9wVk2vCTo8JjBOjB0vGW3O2yZcCoy+qfTnnWIuNLGiwrtEz +53NonBH7/nvOe2du1mAtdEKLnsHayMA5XGNU4P9A6fFLvXsnZyQZtkc8OqNs +nT+U2XYLgTH2x744A9ZvCRmw3W2NjvXMQZ9Yf2LZ796f2daxZfYyvcnjGAO2 +wNhv1S7RVZI8S9XeQWxDNrXt0ntVV7/Q0+uhq2lly/BXzX+C+qdKrqaysYwu +wBZ6AH/o4t026+8nqXkHz9HbzZnnvCnzeXAuO+O+Bg/X+DM0Pq95j1H/YvXX +S46y5n9Ycm/XmMF6fkJqTreut3ndA5n19WDmuN7T27Hgy4LXRjZ89371jhU1 +mv8wzXOe5pmvMW0Fx9Zy9NnbDPmAb2W/66W/e8vW34eaf2DVsex22dO2irGy +Xe2H9eZm32menrxjD5jEz+HbsYU78b2SbTW+SPJ06motWh+b8tbzicFd4bBb +myw3Mj+Z2l//U+05mXF4Vub4QRyZpXZNu88DH7NC8te0mAMtzoyF6yXnhOCB +8EHwDu4Xwa9L5pcDdc0ompOD28NS75G9PtLuM7xH+tihOHFBH+m4w1iBsxHj +kHdHb+t6kf7r1voL1b6k/9/TWidprR+x95ztcqhk61b/o6p9KjaCHyBu1O2y +nbx5KTb167Ln2kty7a935+n5p3p3sPoz1f+QeKr+fPU/U39igzkE8QXuwJrg +7rZ285pBGvtBkzngvMAMfmR52N+Egs/xo+AV8IueeI7/2Tezb/9Ea31f/cvh +UFXj8fjC7jmOj/FgE/7FmcLVsd9JYTPreu3mn5Xgmken1i28mPMilnOW+E78 +LJiB451TcLzD9k+PmLGP5PmNxm2TPMPUn6P+x1Xz1bMKzkfgimcXHDc5N+Ih +ZwefPLfg3Ac/8b6uU9Bd0XkX9jJL/ZlF2xC8b2rB3A/ZOWe4H9wb/3NT8Lsp +BXM8uOS0gs8AXkSuQrxCTxNCb+DrnbzlATutgR/8MOPhUfzHGPRJDNwcfOyV +qu15hdq98Y3qP101/4Yz7hu+nLmYhzV7Io7M1v/dRccW1kE+xkwJ3soZjcmZ +I8IPGzU2X/T73F8XmBmZM7+Hux+Qc45KTLi6YJ2hQ84RPsdZwlXIkYghbTEG +PwLvgH80x9zXxvzon7mIF80xL3PSXhPP4ZDwWngkuSux9FfSx9TMfP/rDuua +Ocm3GLegYL4B36ZP3FkmHDZp/F2p+SC8BLzy/w0xHh4EZ0IHb6Xe89upYyhc +Z9fcC2NO9sJ4+AY6xI/he3+vd/qQh6Y+28lxvuicueHvd+u/vrq/J/V5XRfz +gDVi3k3BdfD9x+nc/6hxzRr/J7VDi+buYKClaH9LDosPIKbgB+5NzTXvU/u9 +nPNbeMrMqu345IptFxsmNmBzqyJPJ1+nj1/9s95v0fv3p7Yt/CGYBadLQwZq +FEuiTkFOSB6H3ZHzXJ1zrryt3nkgtvduvXPv/0jmy3K2cd7ZGGuzLu2K4I3/ +rjf//Ub9h6Im8kXVuR/2gAx7qt2jZH2AA96FeywKbrQgM5clr8Ounyg51pKj +EYMfi+e79s+6N2ityzRHWjYfJw/FR12Rs588LXJm/ArjFjeYc8BxZ+Xsz8mr +Z+ccIyZGHkuLv5pU8V4Xhm/mLPCl5I5PhGycHeeGvpqCt1yivV+asz9Eps0V +x4l3Ko7DtwXnIf8lvpDzcgbEFGoOxBX63WVjam5we+IQ42eVfeZX5TzHZul0 +k6628BNtYdfkMOgAf0iuzl7xycQ3/Bx1gHMz+54rJNvLiundra5trE/tXzao +PSJ1/pVvdx2JWAc/xKfAO4jL91bMpW+ueMzjUW8iHqCH6WXzvtHBvUdFH4zh +OzkXzodaDnvCbxPLsEu4FvgckTNGiREjSuZwyMJ6nAVr0kc2/h9ZMq9rbnaO +DXe4S+2SVsdk+BJcaWderz02EjdS86l3Y2+bdT8a/pTa510dfvLTevsJ9Izf +mh344Uzm5XbXF6klcab4ksvCjvA9lwY2uMe+wC9xlP4lZZ8V+AS/cA76F5XN +o2cFbuEB4HxG2XOh5wlRJ4EzcP4nxj1xE/nAOViA9/YEVvAB88MPwJMYc3HZ +MeqLqBXCSamzsCcwxbr4EnIo9kjthXZt9PFtV4QN4hvIy/APrMm5cIbYzKjA +AHjEzrHxYs4YBZ8rwz+uSh3Pievk2Bvq7Y+wT/IGeBc+HxyD514djgMLIi7A +X+Ax5L1N/2frxEJ4H/W9PnEmnAUcFczhD8nVsXfsHryAOfBGbCPGTcvMYU4J +f7MyZNvp46JeR92O9+CK4JNaxvrIA7Er+odHnsTZckZpZj90vs7ixdSx9qXU +NS5qhdS/zuznWhWcA979ZXBLaoHLWu1/d9UoiVnbo49t4ss4c2L2LpskTpUz ++4nzypYPfo5tDCvaRnlGTAcX+PBhZedi5GQ1wW+Ji3AxOBk5ITk6e2LeqcHn +qBGAL+pPzAUfhBdSd/hHag7/ROr5vow54TdwdmrU+JP2wA973hG5OVgbG3jb +I/odkXuQg/AuOQC1BfbLvp6LveFHwSa+Bd4BFyHmMLYlxhPLuGd+sENdAvzQ +tkafmi598sDXU3Ov1alzeuaE27yg+730/PnUY3lnS9TnN0R8bIv6yRvtzlfA +JPvvjP0wP75qn5zt6S6d+8hWc210y/zod0XqMa+EL2fPnCPYHBg6YX30hAzI +WIq9k0uyN3JP4gtc6tTg4eQS2Cn2W4k+PJVx+EbqamnkGuSw++ecx5YjXrEu ++R5539mZY1k5cgDeYc5B8e2jFHVCZG6LM3oz9ZxrUttD7xhPi53Ap8lvyCHJ +7afEGJ5Tv+Q58Qtf31zcXUdtCvuCu3Hu1A7AGmPAG1yycRcnLxoTLYERMMd4 +2j0Dh+COHBgdYoPUaOB3xKzlESs7M/vpC6WPntTxbl3qWEMMIt580te1dbjV +WvWHt7qe+3XVGP6q6pyJd2qjhgF32ulbM8fVX5aNn/GBIc5jXMhGjWfnehrf +kZkn/qJsXIwJbJwV9YEpaquZOdfPNeaaDnPjLzp27w1ft2dmDnKBxkyO7x18 +93hN1w80z7/YY1/XTOGw8DPqwPgUuDS+De66PHgFc4PHrqhvwG2HxhjGDo38 +a2xwTvTfPzUXqG23Pzwi6mN3VGxrr1bsk7EJfB366QqdHFA2dqgPES/zgX/q +1dT74HI769aBH/DWFX14DWPY08j4ZjMijWfxfHzUalirK2odbcFXB4VMcGx0 +RSxlz51h+9RFsSvepV7KOPZ7XZwFZ9Ic/BEuQK17TcRW+P/k4HItwVngKvdV +XDefXXY8fzviPu8Rm3m3Jeq3KzT2ttS4Bb9tmb/38d2PuEwththMzGZ9xg2J +bwFD+baQGj/g6JbUeAN3xNn6qKtQo98Q34QWp46JxEZyu+siH/xdaoyBNXII +6mrYL7WQrVEPgafj9/HhYBw7AefUftAhvpy6BfUL9vBNs78TsP6qyAXICagT +XFS0TeEPLg6fgO45g87IoXieRZyZHvGiK+p71Pk+73BuR/0Pf4Zfwx8iC+eK +PPjCGeEP8f3094uYc0n4ZPL4meFvybO7I8fi2azYI/UjOOHMsjksz3kPGZEV ++bGdD6JOhY1Q28NO6qLeRB0Uv9cTtfElsqUJOsel7ea3cFk44c2RC2zim1HV +PHtM1T4E28c3Hhk1Umql76TOvbekng8+CjZXhm1io3x/gr9cK51VMvMJav9Z +Zk7XGd+Z4V/keqdWzEM7q8YfXIJaMHk1stdW7fvQOXJsjJhL7D2hr+ub7J/v +eZvjOy/c7amwFzgNe50bfr4jfD5xEHyADfIncgVylunhf/BDYKY9auDwLmIM +/mV01MY5iwWRF98Y30bw9/i0hak5FBwNDA6IteBS8H1sgBowtoMNVSPfYv6G +fv5OyZ7+klrOB6MenAX3I+cmH4Lfji97T9TOkbUa8/D/6uDAG0PP6JtvvCMG +mBODQeomBweGN0e8r2t33Yz62aZ4Drbh6dSD4Fzsa2Ps7eio1efDRjZF3Kem +SG0RHKyL58xDfRc7xAZ7gsttjbyDnIczYI05wcHgSN0hJzjhOXkEOcqIyFMa +2i1Pfbv9DfvCztgHc7bFfJfGu3xvnBi+C10fGfVJxvWEPIOb/R2Ub6Cs1ROy +UUOn/rqswzZEfoV+qXXBfYnV/wOjWj/Q + "]], PolygonBox[CompressedData[" +1:eJwll2eMlVUQho/LZe9l2YXlLot3z3f3EkGQBUSEpSgWLMQ/lggKJkoQUWFF +wUbZtSFYYgEWRKUoWFABQWNiYjQqakB6VRAQpYNdQIlKbM+b98ck75yZM2e+ +M+XMd9pNYweOKQoh7IZS0KZ8CLmSEIaCB+dC6JGE8Gg6hApoUQxhNGsPI7sZ +ncPorkTeMxPC9tIQFiO7HZqM/BbkR5AXt4VahTCgWQhNCyG8j34n9Odibzq6 +i3QGfHv4T7E/B/lx8LmszQYvYK0F/KAmIXQBvwqVw18Lfyb4RagMfiB8Z/AL +7OnH3lpodWIbsiUfPwevgXqBd+Dvm5y9Bf4c+N3wb8N/UB3CcvjfT8FXcFNo +X/MQ7oGWYP9lqCXnXcN5XcGrEp/1FfuXsH8dfG/4nfBL4cdXhvBPNoRvW4Rw +EXdQy54dxf5mfftL6J+XsU9rwctY28XeXpyxB90J8JPAD0PdkK/kTku420Zs +rMj7DJ3VA/ku9Jtz1vByzisL4SPWm3DnjeCOrFcSi22t2QN9w1q+he9Qd6kz +zsT+XPydkrXsB2hYFX5z1vXQAfBbnPc1dvuif5C9RdAryHoS837ItsOfhayM +ZNoKnonNbfDPQ0dODeHGaN0l7BkuXWgI5z+C/Gx0D1b5rAZoFvhObD6Gfh3f +/CPf+yI6f6YdY8X6Nfa3gh+MjW7gk+yZw94O7OnB3mPwNcRuD2uXRMdYsa5h +zzr4GdDnxc7pRvBIbL6LrHPTEG4Fb4D6ZBwTxaY+Z19VE6oN+STf1mKjPfz3 +8CPhV8O3hb8D/SnYvpW175D9m3VOKBf2cL/14FBBjoEvaeaYKrar8fkkuKhg +XxRDxTLB3hHOXo/O3eBm0Xd5EWYuhW+F/QXE/w/0D+FzNWvfoV8KzUV3EbIJ +lT77Y+Q/cMYofFuDjdPw9wt0uqH7PWeeJF6Do+9SMR4CPqXCPsvX/dg4hs7h +pq7Znpy1A52zwT+xVgT/N/78B+1t4RqYjnwltiZhc1q0jnT/Zc+AnHNGuSMf +vlStQe+gfxX6V+TcQ9RLZqKTAu9H3gfd49hoiXw+a8PB6/j+BeA7yfXSrGth +OXQXOo9jqwGdheTGG+zPpp2DykXVsGq5K2ub4ddH50oJ560Gz+Pbs1nf7Y98 +zyburG/GNaHa2IdORco+HYjuMeo1qolt0T1TvVN3UMXeOfSXxoxzfDb4EPIR +yFcgPxX5b8SrN2e+x/461lpj7wS+l7PnRvBY6NHgGCqWyjHl2ip0q5W76oHs +3a8eA27A1uByx+4A1Fc1hayO7/9FvRz5MeSjVH/c4SbuaDT293LmZvDWKuPp +fOMW8Dx8HoTeCvjT8+756v2qqSRxz1LvUo0u5PvHqH6Ca0S1Mg7+fmQPqObQ +7Y8O4Q1TldPgb6BaZL9yZrOcY6BYdGJtLfhX9gzH/4NQI/KF+HNDmb+pD/Z3 +qz+kbONb8Ab1SPgu8JvAe6N7rXSk+xX76zm/CP92gN/GfgW2+kNvgTdG71XO +K/frOWMPsqfYPzFvH+VrirUrwWuifVXMFDvFQLFQT3xGuQMdyPhN/ABclzjW +tW3ws62/Sd82piU1TT53iq795uicIX9VIynX3E7wssS5cSG0FDwtcaw26L0F +j+AtXlDp3t6xuXuyerPelM6ctb/KtTGDPfvANyd+C9UTbwF/Fv1Wf0m+fBzd +I9Qr1JPPY/+h6LdBNaBaWMSeCzLuoRvBC6HzM34j1yeeGTQ7KEd7J/ZZvqum +NifOKeXWLPiO4CcKrv1x+P9kwTFRbPSGbwUfrXLu4FaowXYZMazF/nusjVMv +y9uW3jS9bb3hh2bcE3qBD3M3HbLut+pZz0b3cvXwWeATBZ99gjv5veAYKBZ6 +03uB2xCz3eWunTTye6N7l3yQL0eRXUBsXy11janmVHvK4aPgy6N91xt2BbhJ +tX3XTJYCP5J1D1LvqYamRveKh9jzNPg+9chi14BqobhgX3TWZL736+hZQTmj +3Mmhf1mpc7wOvDh61rsOn7qDp7K/O/FtUO8GPx/9VqiGn9O8Fv32qQfNVi3h +2/Fy9yq9QXqT9TZPxuZZfN9A7viPlGesQeCfEt+lYvBz4h6uXl4CPwR8RsG9 +XDU5Cv7PgmtBPsm3i6Pf9gv15qjfQpVpv5F6K7tjc0raPf519e/ot/BqfKoB +Tyv42+TvlCrntHK7HTqfRM8gmkV0p69VuUepV2kGfCl6JtVsqh5Wg2xG4lrT +G9QI3hL9lqjnqPcsj7atO9fdT8z5buSjfB0P/yD4Iair5pvEvUQ1o9rRzKnZ +UzpdEutIVzPxK8j+ynt20Myj2Wd83rO8etQE8Lnoz0u756j3aGbW7NygfpL4 +DnQX6kGj4Euynhk0K3yomZm10ozfhGE555RySzbPSZwzyp3HNA8knjXHtvZe +zZwNOcseV49T7PGpTdozdjH5OrHSb7beas1Et0XPNpoBRoPnI7+plXuXaqhd +3r1Kb2j7vP8p9G8hm8uiZ+HtrV0rmomfiX4b9Y8yM3qm12yvnFkK7ohP9Wn/ +U7wAf2/Od3Mf1Clxzih3JsJ3gL8nZ6w92tsk77dAd5TKe4/26h9mvv4fEs86 +mvk1+++q9lujmthZ7TvR3ehNnQu/OHEtqIeql1Yyf22o9NutOei2nGcpzQya +Hf4HoqTrhw== + "]]}]}, + {RGBColor[0.688866935, 0.69879339, 0.6861910025], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmwe4VcUVhe999xV4Au9SHpxbziiKjSYo2HsXGylqjIliibGgqBhroihi +7CCoUbFEBZGO2KLGhprYWzQmsfeGBQsIgmb9rM2n38dh9pk7Z86cmT17r732 +vN6HjPr5sQ2FQmHXpkKhpPIs/TdK117FQmFIa6EwVNf7arCbymG6Fkr+oMG/ +Ud+xg+s7qPw02tHmidUKhSd1jW8uFLrot31U/676X97iZ1+XvERyf8mLVX6h +ay3J/1P9u3q+n+R3ouwf8iK16dP6Y1vkN1X/VoPvkRkHY3hb/fTNCgX9K3zQ +y2Pp2Orx8D76fVW/ba1yG10f6dmGDr5/U/XHaw5+obrPJX8qeXbc71kuFPbQ +ta2ubrqGq76DrmbJg1U26Boi+RjmQtcmkpng3XW1Sd5Fv7fo2krycarbmzmU +vKnqGnV93OAxMJ5SB4+tIeZvX12fq/7bNr1T8ksa28P6rkbmSOu3osXrxRxv +rj5HMV5dnSRvwxh1Tav7e+oVzaPKubr2UZsTolykPk+S/FvJSyXvrGfruo7m +XvV36DpA8o2NhcIbJdcPrWp+Na/rqjxfenOZ6s5TuYueS7pG6v4P8dwS9Tm3 +7r76awyzJS+WvJ7kWyUvlzyo4vKuGMdM1X8luY/qR6vcT3VfFVx3a9xPavB7 +P1b9iarbX/I3Bfd9W9z31rw8ovJhXeOKlk9DDxssfyh5et3zsobeNVXf+F7J +63ez5A9KntNbJH8i+XjJ2+v7ttPVQ9duutaM9R6msk+swTS1/6jk9S6pri8b +TddNqn+r5PmZIvmdkvXmHzXr+pUqz9U4H/3JeB+NcZ7R5G/meyudpOedfL+r ++l8j9I+1OCHaTFf/F5R8f4Pk1yQfJfkg6VZJOvOD2pzaxbq0b9Hr06fZ6z1f +V8dm68ghueVx2ljz0P1m75U56LXk41jL3PJYtRkmuVny2ZLv1G+rNXt9Dld9 +q+RzVX97yTJr26b7AzWWt6veE181eV9snlsu6/dtJS+VXJfcXd+6THJHtTkw +93jOyWzHeC+2bOfcbZLqe+gaqf4fp3/Vf6H6VtXVJK+j9vO07rfot8vUZsOa +9xm2jL02RfUTVQ5U/Zeau3Vb3NdDVevULZnXCD1Dr55U/SLdz1X98epnj46F +wgt6x42qv1S/91c/J6h+T9X/S/XXqP4S1a+j+uskj5e8nuS/Sp6APZN8teSL +JeeZ9xv7bj2VFY1/bclzNf5+nTxmbN1o9b+X+n+x2TZgcZPtwJa55fbMNoz5 +xI6dofqy2l6k+od031Xyaaxvo9fvKunG2rnrL1ab0yS3Sb5Q8v0ly6eofKDk +fk6NfY8eXVm03p+m8lRd/crWwR0avE7bNXiesdPMO7Z7mWxdO+PTbysk1yUv +lzw47Mou2C6NobPedb4eGBi2aiecmuS11P57yX9X2UVtTlZ5Um75ArU/U/fd +JJ/Ot6q+t+SZmsPekleXPF3ysZI7ST5P7f9Wsow9Oyq3Pv85s01do9l+YmvV +f6v5rGS298jYfPZWKfZXW+72M9R/d8lrSp4l+Z6SvwUbPDD32C5RP5eUPJ5z +Vbarfi3eVbF9Q8bGYbcYPzYd20if2MdeuffyHLX/Qfd36zqowWtzaIP3/l2y +e01a4y3V5i+qv0LXiUXP9eUhU/4l5P5l+1x87xUtLvG/RyXPdUH9HFd0Peu4 +X/Kzd6mcWHdfz+uHSyVPlPy05L2lp6Okt/sVvWZXqv5kyZPqll/K3PYybG/R +5aSQd9Wz44v21/sm/3Zncn/HRp9Xo7/R5w26btT1XcE2cIrkKwq+v67o/U95 +fdF+sL2T++qntXxI8kW6flV03XFRf47mY5yuHi22z9xjkw9P1pvlmeeePumb +trTZp+j3T9W1Anui/qYVvS4jk/dVg+ZzN33jxKJ99MQO/obLJd9X8rP0cW/J +38VvzzR7PrApk1V/bey9/ZPlu1Verrm9TvJrGtuEkvXsCLWZoPrxkp9UfQet +dUvZGGZA7nYbJu+Z8dF+A91fKPn25LoJUT9W5UW6hkteXLM8SG3uk3yx5MGS +u6jvzmVjIeYFe8j8YxORmX/sF3aM9fkrc6jrT0X7NN57WNHY67qoxwaVpM8H +N9jnXRBtLqlb/ie6V7KfAOvuk3x/R7KtmbhKx+qeu/+q/a+Sdehvyfp4dejS +YzVj2WtqntdrYp6xdZNDPiJ5b3+vfi6ue14eyTxH7Gl0qUlz0Fg2bjxE92Ni +bMtl975rs52k7tKoZy7PjrnFNlzb6L6+0jjOV/mPzP54bLQ5NtkuN0qX3uis +eZMOT4+9c0yr/c0hyf7428w2G3uP3X5cOtletH3mnnrwFfZsSti0ER0ss5+W +RDv8JbbpCnQ1nqG8NErqwXJgpbV0jdF9pWy7gf3A91N3ZtHYqnfZ69tV7xhB +DKJnRyRjlMWZ/d7j4a/R/QuL1v9eXWzr0Vns44Si7QXzcomuz9SmodH7B525 +rW5bOaRin4G9RPdOid/Zp3fU/cymYOkGY3Tw+U4aYzV8Gzb1vrCzxCZ8B/im +rYPxPLERNnpS0Xt7ct1Y6svM+5wxjo/vuEjXwqibELbuwGQc9nVmG39lo9eN +OaW/CVFOCrsxs+T9ADb8d2Y9xr42xL75I3Mt23WixjZA5c+T5+0+td1denJc +q9f02rrxQQd9+2Q9c03Ra84eBXNgl4Z3dD/YxvXK1jfs8DDsfKt1gDbYT2w/ +fp84Dd+PrTu21ePfRfLIVq8j8oUxD2AwdACMhZ0AS2E3umlOD279UUcOjjbg +L3DYJLVZvexYCxyytM0xFfhjHdWvrWts0fqOLumRlZiJurOLXjNKsB+xGXM2 +XPLmFducO+v29cRm7A/wOO/DDoAPWMcLI05iHcDnYC/k88LfMKeMkxiIueX+ +sGQMtiwzniA2GBd7gRLMeXXda/xF5phgccRixCfEDjzTnNv3fFN37IC/Ok/P +zq7aF43P/D7mizGAWZFZ3+ebrQfs4401nlf1rseS8dsrJc/h9XXHF6tVXPdq +1GMPeBb9ebrZa7kwdBuZ9X222Wu/KOwDuoKePNdseZVe0wbdwMdhv9gLD1aN +ve8H22tMb+q9TyTvl5X4AJ9e95g6Vrw/GSd2lViW9jsFzwDHsI7ab1bzPji7 +YhtMPRzFEaofqPqxqv++zZwCfAJzxxzerd9rmed1psaT1O4z9X9L3b6C9kP0 +20aZ37Ool3HrGzGGv9Ytd654jK/HOG8sOabEJhJHLSk5tt0kuc3jybwI3wAe +OxIsqvrtVf8LXQ/j+1TOqfvZ9Su2beASfO9v1f5zydskx3WMGd5jrYoxJbE4 +MevbJWPvG+K+Tb+vqWuR5Bl1Y/O3os2XJWNT+AX6+zz6ZC64zyuOLRdFG55H +7l0xXqMv/OzWGtNC3T+XHH8j/0y/zW80RgIDbZY8tieT3/NpvGuTim01Nvu2 +RvtBMNY1un9QcpN+n9tonMZ+203zsEDy0OS48OpGzxFcw8TwWfgB/AVYi9jr +qkbv13mN9vXgvHVVPzn8ytSSOQDsCLwGbdlnjO/CsOc7lD0e/DLlgpApHwp5 +ePgr9g5+Bf8C9mPuxoedv7XROBwsuB6xZfihLTPr3bJexhrYL/gueCb4Jngn +/Dg+HDw8T/OzTM8N0Pwcrzn5XvKOmpNjJH+HTibHQrQhzqNuacjUfRcy46NP +MG3PirmUKXXjBd4HfiDmWVHy3MyvWx5MPF4zzzhd5ayafedslXNqtvVza9bl +b2MvHBQ48rtYoxsCV+9etn1nDW5X/wXNyVD1PyI4AbiBlkb7bOb1D/rGouSd +ktsi0zd4oBAy9r4xcOaRmW1wlrmuIep57ofAEHzT9/GN+CXGj2/im/ArI8N/ +YdPpC1yMDM4BL9AOjAHHh+/aXvWtZT8Lv4rvYUyb6bv2Cy4FTgWOljmEm2Vv +fRl7jbEsj/FcGbzTVTXHN2BTcOmhsX6s3RtV9zFbff6van2ZlZkTHhA27aWq +ueGZmX3soBaPE354oxb7yo1rtk/TM+ONq1psN9FBdJI2O2V+riEzrwm/Sb+U +y6PPYtkyfPIB4WPwU3DG2Fl4455q067rlpJx2sYtnpd3q57LOep/YdV+fnuV +g2r2e6dknjNwG+2JgZDfLni+Joevvibw/7U1czr4q5P07JSav2cqHE7N476h +Zp4IvmhI1ZwOfuwPmXklfOPJmTkg/OHozDq9CjuvirdX8dqUE9V2SM2Y67TM +nBG+7sTMHBaY6FTJe2We146Z9wRYjWcOzq0P20rPN65Yt9kfL1a9pi+o/G/V +6/hy1XYLW4edfL3qNX1V5RNVc2KPqfxT7r20i/p8lu9U/dMqz6372Sy3PcWu +YieH5+ZDpyevFxwr/Oq+ubnXucm+Dxn/98vc/Oxs1f88N386kzhb/TdL3qri +GJE28LFTctuz04njcnOytyZzIM2x39+pWjfeUnmW+rlM9V1yxwuXNxpzg9+o +B8OB269oNLbum5tjHZj8+4xoAxajHsx9dt39lNV2bN3PdpP869zfe1tyPHdI +o2OSddRmkvSnj8o/aY8Mg/PVb+fo/i8qe+TBqzU6HuM7WuJbiLloQ3w1ru42 +PXP7IL4dG0icyrzBFeNnmX98LXYLv4XPuqzid7+rMs9df6vkZXXj9Ufqxung +MbAbXDqYE/2Gh+zbyRga+4cfZc1Xz+2T5ldsa5HxTTdXve/Yf9WKffzNdccc +4Eaw5zsVz8FBFWMysFlzcjwBPgQnHhRt1q4bn4HTLknWB3SBOAebh89Gl4l9 +wYfPBL9GHA02OL9uv5lyzwV+HH96Xt1yPfe4aQP2uKDuZ9dQ/Z/r1u2q5L1y +50umaQw9OpkbAvPDsVEP7oPHgpcHkxLrgIfByMwlHC/zeULgyVrYTPohtiLv +BI9NDLdH7n6mspclf0peL/OeZ++/VjXnxLPYW8ozQ0a/WGv2CfpBzmLv8J/w +TfjQqXXX96q4/DjasCfx6eSb0FnaY1tqFWMw8k5bakwfSn5G5SZ1v4d9+Xqr +n2HNjk7GLo8kz+v8mFvm9bZYF/KDfQOfP1e1jZ+RGU8whvbAFx/GeOBS9op4 +jnzO+yVzWeRb3i2Zbzkm7pG/KRnrgvUeyMy5fFnzfqEdcdwsvetrdChyUl9H +e3KDnwQuBY8sDkzC799EG3Tn1tAl9Jv2FfWzRfLYnsbW1T2erqrfPHmcT6m8 +qe5v6K76CZlx0+c16/V78V1bJa/Lsyo3rdm3bq5yaM2+YxOVv8s9nu3Acsnz +/GhyzLog4lbyVOgPPBY8+sdN5mUbwi//hxxFct7o4mRu/oMmc8Zw9u80mUsD +a4IL/qX2Q3L3853qWvWes5qcuxynPs7p4vvVIzdJLu61Vuslupdpbnvpul3x +1j3xXXzflNBd9GlQ7vd+2Mv9jmkyhoGHODP2C7EWuvOMxrNh7jF/2cv90Qab +8vvkeGBB8j6eF37qyGT5YZWTYj6ZV/qHy+BZ/Nvc8I9Tw35iR+GQ2f/w0aOS +9fkfKg/SNZMYRuVOuX3HkOS5GBPzc6juZ6v+wWRbPids/u+S5YeS7f3ssPn4 +mZnhs/Azs8JPHZwsP4BOdfGY4V7gBshdwSM82Ml1cDU9KtYr9A69gJsGB+LP +Dgvu4rHw+09VzTuyX9hzzRXHMMRYb4Vvfa/qnN1CreH+7Imafd7D5ODK3tuj +i9YzYr6TdD2VBaesflqDUyCOHxNcPOsLt/Rg8EstFcdKcFSLKs6DLZU8qGoe +eXrV8Td9o5dw3tj9I0KP0Dls0f3BJyyo+rv7hy5tUDU3Pa3q9lMivkAv0Wn8 +DfxPazzzQuZ8B3mPpwMLPV81ZgI7vVk1rgJfvVL1+1+PMWBHuaf/8XWP9YnI +zZ0W8SC2k/a0fbOzOU6+5YXAb/9W+UzkTsi3dApOAZ6mS8U8A3xDueKYnZie +OGmb4MK2DpkYBG4OXhbcuV2cgyAf3SPy4B9GPXlx8Fs52mAPu1Vs07Bt4H7w +/6Na/18m8/APqS5X2w3LP54xQQbbU24UMnHrkODJdw2ZGHbPGAPv5QzF0KhP +8Sx9wwduHd+y6tvgEYmztoocxOORb2O+D+8h+9rV+pWiD/TyhXbt3262WZyP +QHfJi8EBb1F2LHav+jlD/Vykfh7LnHcg/3CGnm3srr3Qxbz3lsF9bxHyuxGr +bhXjxIaSi2DeySUTLz5fs53lnewXYkDOfODvFmTeU+ytVf0S98DBwi+gM4x5 +UIx7YNUc31SVH2hs6+m7JkmP/puMFz8k1kuOnxZK/neyL3xV8ldxDgAeeknk +8skhfJOZk4ebXxq5f/jLlwOHvam6/wSmfzczh0buFu5ro8hTwsG/TawCzq6b +o9g6zsOg76+Fzm9YcVwNZ/BSMpb9T+YzPhuUzcsR/+4W55TgRYjhV+b/IqdL +ju7BODeAPv6QuR35zGLF/BK5uBWZuR3yOR9Lngb+rhubEp9dGn7qDn3PS822 +AdgFbDm5KXJX4M9nw0fvn5vPgss6QPIZmvuDe8pXSDfOljyip3MXTwc22Edt +Rqr/Q1SfupgvfyI48xeTMeWLjD1y2/D3zwTu2i/3d5DDAFPBJ+wTOQjec1Y3 +vwvbRlwLFsdewqMQQ74PxiKuqJtjXCvOYrG2cJH4o0WZ8xfkMRZp33zR1VwC +8fuQOJvE/MH14E+J0/vFGbAtIh4gF50FvgRvflYzR7Qp9mr1QqFN41yhb+pb +Me8Dl7lu5MI5T9SvYg6Kc0aPaq6auzvXiI7DDRBjs+bwVvjogRVzVXBd/auO +IW5Q+b3eUda7uq9urmZE5BRYnzO7eY1elH0YI7lnF3OKxJNg1LViz5HvWa3s +/cneHFC1rtxUNfdVinxZ36rjj2ur1tlBobeH6l3HYNfU/8s9vPas+wZxRooz +U+TE4FbIQ/SrOg67XuX6VccQk1W+nln/yPeim3eGfnJGa3DYVXIUQyMvwtkI +zki8pTloKJtngcvljAXnE95M5pTBuEfnPovDGZJ+zFlgwd2S8SU48/e5z5Rw +JuSd5PMinBV5O/kcCedJds19HoizQK8ln6vgfMXryWcvOHfxRvJ5CM5FPB/x +8iXBifZIxqnDknlJuMdRuc9wkB/tL3nriuNkeALiT2LPP+aOaYltT8kdJxAv +kEOsJ8dXeySfleHMzNqS1+1mW4mdJIeNfq2TOy9O7nsDznckn2HaM/ksCOdA +1k8+w8RZpt7JZ4+I3XLJWTLm3l1lk3T2Q/X/vta6YzInsG5uvMY7wZkltXm+ +3TiuUzLm3lXlfmX7J3wTsR8YvpKMScDq4BPOb3GO69XkHDHzB5/MGSnOSg1Q +/Rex79h//8ucyyYfvnfyuZa7VPezZBx3d/g69gS4ZHjyuaK/Zcb6YP72ZH1f +EBhyRMVcCVzLo5nz1OTG+Z73A5uC6fCT4NEjK44DibPhrm4IjhfMw/4D94BJ +wdfg0sMrxu7E4nsln3+6M7ON2y7ywawb+4mxc/6GMzOH5XEGSPKI3Gd0OKvz +m9xnyzhj9kry+TbOue2YW9fR+VszY8UFgf0OrhiLw/1sBPYm5sqto+jq/Mxr +xtrNy3ymh/M8R+TWG/Tnjsw6gW7clpl/h7cdnZubhl8+ObeOoqu3Z+bd4ILO +VP3OyXz06bn38eDYy8QYxBpjcp/J4DzB+rltOpiCGAlMwVnGUcHzwvc+WTNu +GRZYBay4e2AV8MWOZZ/H4+wrZyKPDb4Y3vjpmvECuSVikx2qxufg9MMqjm3g +q/BjRwe+OaTiGAbObMfAMGCZc8PWgsm3ijHAWxxacSwETza2i2MEYoU1Yzzw +t8TcewRWBDPuGTiVvD3nD8BbwwJT8Y2bqtwsnl0zZOwuvAP8wz9rtp0bB+Zc +I2RsKrhj03iWZzYNe81YNon6PWIMjIdx7BGYGW4ajvrZmmOpHWJu2wNjg7vh +2eHFH6+Zo6ZPeIA+wR9Ozo2RwcrwF2uEzDj/Lv+yRXf7gv6xl9nTnBXjPMHI +3Gci4e5OzH2+EN7sOMk/tBm3gdnQ94dD5znrydnLF9DZsAPDI57FJrEWfWI/ +si/hneGfD82ddyRvd1BuLhXudPvcGIJ9TlyDfeH8Cjg2j1iBWA5uYFxwCOuF +jcJWVTuZ8yLP3RrnpbGBR1TMMcHzwb8dFTgbHeAMB3nefiHzG5h55/DLv6s4 +zofP/n3FnA684HOyu5/28DjQTWwB+kkekRzeLvqW9WOPoMOcfRgV5x/IsU+O +/AVc5uWRZyTu2CV89MAYA3sDTvTKyAvMlz/6pIf1fXC0h8vlXMR1kafALn7S +5hj5X8nf/FxmfMIZ8ebAxGBj7Cp+fkVgNfzzGRFzXh+5OvrEFn72k/1MSR4T +X70sMBa+mvj99IiF6OcebFSb15E+0Rfies4RwJvjk/BHYATyWaswKyWxMNiE +PAVjXXnWuORnwBf491U4jBJfgz+nb3w6PMjKfHPBPpB8GPfwE2C2zwO3IR9Y +MK5ivw4vOJYCM/MbnAexI/HYC5GLJCfJ2RDqR4bdYP/z/HORuySHSa4ef0FO +H7wDPzg68Chzhg6AfZb8BFtTstbwO7RFNz7PnGPg3AfnF/Ap7Ed8Wnv4NWIL +9iD2hDiAfQcWnR/fzXxwxo+/Q+C8FfEAeJXv4Ewaf9vQEM91ChzL76tFm80D +32InO0U9bfBdHcMWEXdhm5jXlXm0kBlXt7B1lF1DJh7nXOCq8y2dQ8bOdw5f +g36QB+c8dMfok3f1LZtfwk6yt9qDc7s6NydNrqxfzTgfvM8ZTc7KcE4GnhUf +CrfAWMoxHs4U4H/xm8RhfNvuketY+WzB8dxKm9PgnAe5D3KKcDysP/5vVtV2 +aAbcT83xFbzU+jXjdvD7ujXHAsQEA2qOF4gbNqg5hiFeH1xznAYXtXbNOB+8 +z1nI/QMHzYk9wX6C5yB+QS+fiXw6eXVyyOB9+FxibGLtt6RTv06OVe9J1gnq +OXMCZ0IfrDt1N0U9toPYkLMN1N0Y9TPie5ty/35ztAEHobeceZpeMrfA2STi +6ekh/zZZvi85p04+/IGqz0rNiGeJRen3Pf3+m+T+/w4HUHebT1V/QPKY7o3f +p8YY+H1W9EMM3S9yVeTFyflxlgIMCH7jHqw0J+YTfAoOB6PuH/k27DVnOcgR +cp4D287vcM5wBHzbR5l1ER4YjArWA6vw/A65xwNOBG+CjemLnAG5Rs6dgE/B +QtzD784LuwvvC/eCbYDfnR/7Gh3ku8BY6DN7jPnj/Ni0mGdyG3C292fWd3Qa +Ho9ySchPRi4KPSeOmRZ9EA8x/6x/1+ibfcTe5Xf2LLgI3gY9g8eDB8BnPxX5 +cfLkxLzwAKv4X0rwJ1wpMhjricihk0uH16QPcA9xJ2vJu+FQec9HgQlW8ogF +2wT8Lv6PnBfzz7pwNg3szfk0YhTOQ8I9N4XNW2n7mxz7kAchFqZk36zEP6ve +02SOF07uKtVf2eYYAxuDnZ5Q8PqMjjX6LPOY0dNHYp7J8RF7gfOwXauFT2av +ES+y39iLHcJOr/RRwSsxVs4JL4/540wjvCGcIfkQuN+lwceyTqzRqbnjAuKD +bcPWsdb3Rz7irNx7jz24TW77tPJMasF7jL20VW7uifOTvItyacj3hA3ZLPff +cSyNM5b3xn7cIvf5PPzW3pI3EA7t29O44IHIU5ydOzfD/HZNPnvNueuhuc/3 +c85/cO6z7Jy93iT33xjwtwYb5c4D8f2dkzmVeuC3owPPEV9Qj/7VfoKPyfGB +Gavxd1UDIjYAE4K9e5Z//Puv9pDBjsQOfDtnO3mOeYZ7ToHf6JeYAP3h3bxz +dLRhb+QRNwyN2OHkwLjoGGc1q3Fec3GsJf2D81K0xY4yHvb1g5EzGpv7zB9n +/+6v+YwFuf5bknPS5KBvVvlJ5ufheudrHVq6+xn4pzHt1mfWjzUGR3HGDr/4 +s9xtz2p3+1cy88PwxOyz9thrnM/gvMEMle9k9hFwwJzD4EzCvORzHpzxmKPy +g8y2Gh4anqOhu7kBzjiCn/bMnT8jj3Z+bp7vzHbH9PjDhYEN2IvsScZGXpnc +659z58zInZ2TO/dJDvS83OdZsQu7557vSugAcdI2PR0rrVMxZiMPTI6QfN+4 +3H8/wPn8r/HPWfCxyfl48vJTknOH5BDPZU9lxuHgcc5/cA5kfvLfUeDL+6nN +y5k5bbjtNzLz5y9H25VnZUqON4h/GBv5EewXtguuvHGVXPbfH2K/iAcbIwYE +M/K3UuBGcBM28rCwb9Rj4yh/iFgPHEQ/YCHKhpCxXeT2wB/00z1iVfhGOHBi +rmK0R//hgoshE7MUY49kMefnxV7rEfpMrMkYTgr7tixsXC32L34C7AZeBb/x +92LL4+8miInBncTaYDT+Fhec1hY4E5myLfwWcR/nfdnv9LEibCs89fcxBvzG +srBpcCa0Zy8To9EGO9Mca8F4Vs0Lcwv2XxFj+y7GybPME+tIDEsuqE/g6kfi +vM2jdfuxvjG3PMtYd4i16xs+DjvE32it+tvo/mG7iB0Hhg1kP7M34MGwbdg4 +niPe7RftOXMAJv5F7t/7RxvWlDwH4yWf0Tt0jLFnoYfYsTVCx+BLiIVoRyzN ++7CXnBuAk/w2ue8B8d4xwaHj4+CemAfqyEOCZcGh5Kx7hM+iHh7q/Ti7ggzG +GxuYFR+6JPm8BOcm4KTgcRg7Z8g4JzYLfrJiHp+/lWHMa4bOMKfgNtaO+Sd2 +J47eMXAFa8F6ER8ybvKFtIGj4Nn1o/3/AW7OirM= + "]], PolygonBox[CompressedData[" +1:eJwll3d8VtUZxy/c8CbEzBcS3vu+uRcihIRAGAIJm4pVO5VqAbcQZKQyBFxA +mUqrdaBGqSyVvRGDUrW0rNKKyAo4EQKEvZLInvb7fH5/PMnzfZ9zzj333POs +7OLh9w2r7ThOg1qOE8f/Xr7jHHUd5whS33OcUfBN9BvIbfDjcBX6WSSAm8Gv +or+AbI44zr3wAfQKJAV7Apyf5DhTQ45zR9RxhsPXsF1FWmLvD/+EXoPcCv8e +3o++D0mC28Mz0N9FvmH9tvDf0d9ByuEH4ZPoJ5AI49vAb6O/hWzH/hxcy14M +KcQ+CL6A7TzSFH4Svox+CcmHm8OvoP8N+YL552OO8yb6RGQdPAF7PGuFkG6M +bwq/hm088k/sf4APoR9E0rD/y+bY/lMd50rgOPdjPwxXImHsY+E41nKRTnAr ++A1sU5GvmNsHPo5+DMnE/lv4R/S9SCL8MHwa/RQShTvCH6C/h+xn/vNwLmdf +m/WLsB/gt/ddjXmI/RyG56LPQx6Gj8ML0Bcij8DV8DL05cgdrPUJ3MHVHemM +fQ3c3dUeu8D/gO929U26wl/Cr7t6pwLbOzwLfTbyIPYyuLGrO9MB/hhu4+qM +OsGr4XxXZ9oR/g6e7upOPADvgae5uhN94A3wJFffrBd8E/4cfRXvXwLHcQbr +4NXwcPg69k/hD+FB8EW4zN4X7gdfhdfAK+EB8Co4w9U3KIRrs96/0cuwD4XP +Y18FL4Mfh3fCpa7uZG/YYfxa9I+wPwmfxr4YXoI8Cidg34C+Efm1+Qb2lehL +GX+n3VX4Y3gF3J/xH8FZrnymCM5i/hlXPvoo489gX4p+pY7j/AI+AS+CL8Pd +4CPwfPgi3AU+CM+Bz8Gd4PL63Ml6fFPu7xjzy4juVjX2Dth3ReSLx+Db4M/w +l17EkunxnDv6toh8sRJ7a+wTM/gOrDed9W5PcZyvI/Ltk9jbYf8engmfgQvh +rRH5Qpg73BL+X0S+uYT3z4f/E1HsiceeB+fx/hdd+XQJ3AK+4irmDIU7ePIF +87nRcCO42lUM6gc3gc+5ihED4E9Zv6crH+vG+bbGft1VTByB/ZaGxEjeZw3v +U8L7juP9XPgw73ZvXc6U8XXiFDPGMX4F5zkQeYWYWJHM3YkotrxsZ878zyOK +Jem8T475NmPLwrwj603kTOqw3nqLn+h3YU9D3mHtbMano29i/mRXMfki620n +5jbl2uXzPXagb0GGwLnwl+iHkMfgQrgSfStzTpAQ3ATiD3obT7E/mfVHsn57 +T7E0BX4WzvEUSxPhgfBu1mjHkALW24PezFNsvQX7n7BvYc2jrH/Dno9e4CkX +JGEfhv1KlnJF3UR+R7/MmY/m3Xtzpy6hr2PNMayfzfz16KMsvsBDGH+a8XVY +oz62KXAI/TvG9MDemt++t70hm3j+Vp7RHv05u5/Yn2J8NfM7eorFqdjHMH+M +3W/so7Cfwz4afhseCf8EL2ONlxw9czn68+bv8AjsNdi7ZxIDuBNT7K6z5tN2 +n7EPxX4G+7Pwm/BwuAru6im3pDF2PM/fxhmdZr91+R7b0XcgVXAqvBM9izEz +4xTjffSo5Uu4KRxDD5BZcB7cEL2up9wRgn9j9x+Zjb0hnG3+xZqVrH+J9/kC +PcJv07HnYPfM3/mtBnuY55ejp1i+xd4Ieyr6db5REnc2jTt7Ez2T397F3gR7 +A/QwMg2+Fa5n38ryOdwYzkB/y57JeUzj+aXo2Z5qg7rYi7GPYO2adO43/rMB +aeAp9y9ijQewe55y4WL4ITjDU+5cCPe2eMj8PmmO82KKvsnqsHzMfMt+8z3V +Ngk87zHGb2YPB3jfGvbzX/R0T7l7PuvdZ/eduZNZowFzx/J7PU+10wLsf8Se +6qkWmAf3tHjhqbaZA/8OTvZUK82F74H/7OtbWczobL7HGaay/kiec83yMe9e +zP4PJOsMlnDn9oR0JxejL0J2h3QHF6JvzpIv2Znm8+erqHzfvuFW9I1R+ZL5 +xAb0BUh5SD4xH30esiukOzoXfSayDX4NnoE+yVeusxjUj/2+z287Qrrj76Hn +ReVr5iMjLbfAO+E34A/QJ/vKtXYnipn/oq9ca3fmCfgFX7nO7kh/Tz5lvmV7 +bBWTD5ov2ju3icmHzZdtzwUxxQSLDbbnnJh8zHzN9tAcns0etocUQ2ZF5ePm +63ambbHf7qv2sRx61mK1r1xsd74v++nuK3dbTj2JvbOvWspy6CG4q69aynLs +UbjIV+1jOe4H+DBrjOPulbJeJfquqGK1+eBO9G+iiqUWM79G3xtVLLMY/QN6 +UUy+Yne00O4qv7WNV8yoQO8UUy4u4Bkd0Y9EFesthhxGnxNTLLYYeSf7WRJT +rLGc0MdqPc6jLzwNLkL/MCbftxhcgv0pX7HBcmIr9r8ipthkOaYv9iG+fN9y +cHPsT/uKTT/DbT3FQIuF9g1ymbsgptzTk/n3WK0Xk+9ZDmsLP+Ir1liNE2N+ +X1+5z3J4Q3iwr1hiNUAuPBMuTVAMn4H+hK/YYzm+MfbZMcU6y1ldWL8yUOy1 +GtHF/itfudhqsnh4f6BcZjXhFcYfCpQrrAasZfV1oFxpNecN7AcD5Uqr+X6G +KwLlOqs5r1ltm6mawGoBq7HOch7DEuVDzdjbhSzlMqupVvC9PrOex1WP0oq1 +4pFS5uYRIzKpRcZG9K3sTi1gPzlZult2Bk2z1INYL7KJ+fejV8WUW+0bV6OH +At0VW9PWrk0tUwc5mqKapiBQ7WF7aGH1dD3VPFbrHElRDWS10CfIVexLiFXj +M2RbT7xq5+nbW0/2DGfbPFBtajVWPnoP3jHRUc9oveMk3qt/pmpFi7Gn6isH +WOy3mmgCa38LBynqwyw27oEzUxQjrTZbm6nca/uqSteebC9Wg9keba8t2cNg +9j4xrJhusdzWeD2QzWqQqej7orqb5mP70SeEVSNbbZzBmGKeNT4s3fZ0nP3l +hnWedoZW+5Zl6vytBr7bV61vNV3I+ulAtbn1UHnofqBa23qiLPSlgXKP9VB7 +rXcIlFusJ/oWzmW94jjVgBvhFr5yu/VgW+DyQLnfeqT18PJAucp6wgrrBQLl +JutZdsB/9dWrWI0xiP39xVcvZTXGQHhhoNxlPdhuxk/x1UtZzTAA+0u+eiOr +QQbDL/vqvazmKIG9QLW+9XgR9F/6quWt56mxXixQLrce6RScHKiXsB4sCT09 +UO9hPVAaekagXsJ6yvro2YF6GetZG6HnBOp1rGdtgr4rUG9hPfpa1n8motxk +Pmi+uDJQ7WA9ciW2vYFqA+vxzlmvF6j2sJ75GNzDV29iPXMV/GOg2sV6ygvw +vkC1svVwl+D/A6bJjIM= + "]], + PolygonBox[{{7931, 5234, 4293, 909, 7101}, {7102, 963, 5505, + 5132, 7932}}]}]}, + {RGBColor[0.7671863750000001, 0.77125569, 0.7498462775], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNnXeYVEXWxrsbhemZ7um50z19u4FucyAYMIAomHPOASMqqKCy5ohZSeYs +qGDOgGLOESPmHFZRV0V3DWvO3/vjPTz7/XGfOl1Tt27dulWn3vOeUzWL7T1m +24NzmUzmjHwm003pCW2ZzIm6dtOPp4qZzJ+6NleB1ZuZzB+S76xlMrcr/UXX +uspfWOlPum7OZjKPFV1mU+Wv0fS9d6n8wKbLz5ScVfqjrrNU/i6lv+paX+Uv +1vP/LmQyE5XfUF6uPZPZUflr6t6M5Ht177PK/0vXlsp/qej8bSWv1/C936rM +pXk/g/rrSrMqs73KfMa9KrOo8heT3E35Oyt/SNN13q17BzXdntslD5b8u+RZ +kmdVMpkLk0zmC/XLPZIvlfyD5LskXyz5a8n3SZ4s+TfJD0i+XHJGzzuqmsls +V85kTillMo8of5ryC8p/TPLVkjsk36fn/KZrQ7XnWJXfUeVPV/nDJW8t+UTJ +DxXdno1VZrWmy99Rc7p2yffS9+uW3P8H695Nde8x+v2EnnWtntWpZx2i/C2U +f7zyn1L+9cqvKn+o6vxb99+jOucULW+dc7/+UPR36aN0YfXbbsrfMO9vQP9/ +VnD/0rdnSP6X5LzkV5R+q2uE5OWUdte9e6j8UJX5XL+HKD1J16d8D5VZoeny +96kNJ6n+xVT+COXvpPzFJb+u/NX0rX/QPR9I7q53WEL5PVVmRck/Kv8EyWN1 +7yLKPzTrdNGQqW/xqHOhkn/XJe/YdJmXVecmDY/plnom068lk/mv5P1U5hrV +mZN8iT7rTZJbJNeUv6bq6RFzYfOG89t07y0q01p0/WupTD7G+aYq053+UZkN +Gh6r/9Vz56nt30s+QOW3bPjeosrcpnoKRb8j37ktxslote07ySOznn/dYg5u +2HA7F9a9D+n7Xqnv2111X5f3e1FmKaUL6X2HqZ4b8m5PVfnb5P3N+F6vFi3z +vmM1ZnbRmBmv558keTfJkyT3lny+6v9IY36i7p2ka0+VX051n883UD1/6tkX +5j1+1lD+VMnLSl5V8uWSl2JcST5TckPyIMlXSF5a8sqSp0hekrEh+TLJi0v+ +ueBnnSx5atHP5rn9VOYcyU3l/64y50keJ/lXyWdLPk3yuXnnH6fyZ+Wdf5Dk +ZXTvBMm9VeZq1XmB5AnKn1Z0Ocpc0JXJVDo1bpU3QOUnK38Jlb8kb72Dzpmi +v50geRmV/0bPPTHv8Xa58k+WvKryv1P+KZKPVv73kk+nPXyXduvhXpKvUPnT +JK+XcXp6yNR9YtTP+GWeMMauVPlxkrfJWJdelPd8ROddHDLvdGG811VF9wX9 +QNmL4xvxHrzPYpIzRf9GZm6Nz3t+8Zzx8axcyXOMubCayr+j/GuVP15jY1+N +kwv09yN074u0WWVeUDonbz2wgsq/FDJ5/O2qjMu+FOWXVZlnJU9T/nNKn4+x +0b/oeyi/ImNV8tUZl30myp+qNuypNpytNgzTXLhbY3VPteUlyWP1Hb/RfSXJ +z6CTVWci+WnJPSTv36G60M+Sz1I9+6ueS1TPGZL3lnye5A6Vn60yC6vMrDST ++VLy6aq/X9HtRE/SrpejbS0qP0r1bqzyRcmzVH4TyYcX/G68V175o1VmU8kP +9bIO+l36qV35PXS1Kv8AtWFDteEItWGE5PUkHyr5SNXzasyvldWG1yTvlXPe +a5F/lMq8KblP1v30bLSTNr4S5WcrfTrm5utK39C1d84pv6/RuwxS/W9F/ipF +/4186n4r6v9L7e6v9v/R9HhBbzNm0NlLtnv8byt91a77E+mrGXnLjP9m3vgD +7DG7aJk5fo/yq0XrlnX0zsVYE2cpv7NoHbKB8rti/RrWcPm66h+c99pGfo+8 +11Tufbhomfl1u/I7itYDzxWNOZj72zecX657jS0Fznmx6DqZR/3yLg8+WU9l +kmj/hpLTWCt3Vj0Vyanq6cwbM1HPCcpfXfJQ5R8peSXJq9b93ZD5dj3a/V33 +im+xatH9f0zD8moqn1eZNSTvq/z38q6zr+59vOhn0f/HqvxAyYPr/lbIfK+7 +8m4b+nPHhvuzS2XWV/vL8V6s++jHCfG+06J/xqr8YNb0unXA4GhDS7vHCu0E +0y1SNK7bW+WbkhdT+X+3GFOyht6rezfWOLlcdd5YNFZYcgFeCMzQrWS9g87p +rbVnKeX1Uvqg7t1E8hW6dzfGnp73Rc33cx/zjvWBdeK00EVbFKxDmAubF6w3 +iqq7UPJYOkj1lpV/oNIeJWMO1mLW54VL1r2kC4XM+t8t2vao6txU916pOp+U +vJnkqRnjOMYuY++HFuNgsMHdRcvo9huUXlv0ez2WN2YFr7JGXxPr8vVF9xHv +d6Gu2yRfn3F/3BD33lF036qbM4/k3eesWejB6+Ne5sVVMYYfyht/840ekNyz +6DUXHN2raCy9R8P5jbrn6dSYm8MbvndR5f/ZYlwLVrkvbyzOvfcXnc86uHvD ++b1VfggYlvcBJ0jegHeRXFM9G0k+vpvXrj8KHnuMd8YW42pA0XODebFyyWs/ +6/7aDZf/T80Y9s+wL+iTtnb3C+OUOcNYXalkrHBazJdSu+fMxnxPyf2V/zI6 +oN3YF4xUaTdOGqJn/QL2rblsXdctYI+m5Ydq1mMd7dZl4JefCu63Q/K+h/L0 +T7HdfYReam+3bgKz/FbwN9pBdfaibTVjp77txkK7Ni1/WjOe6hP5w5S/rOSP +asY5yKzjOzeth9+uebxTnjHfWnI5dGBLybgEnQw+Wibu3YR50G7cyLgttHvs +rtlwO+fVjK3oE/TDoXmXPzhwztLtxjzk9Yp8sM9Skb9L02XeVz2n5r1msF6s +3nC/zVX+gJKxIO/I2jUgdCO23RIxX0aq/OKSl9IYG9HwPFpS8lN542Aw8BEN +37uK8seozkv4rhp3T+R9L/gT2wW8AlYZqDJrMwfBsZLXknyh5MGS15M8LWtd +tbGufRZSm5W/vuRrwEiS15V8RdY6aUiUGaT8dSRPzto+Hlo0nlxF+Wvy/bNe +s66IdYq148rQ58y1y2NOgTv6Fo0lWNux2VjfD2pY7q933Lphm6JU93h+KfT5 +wQ3fu1zd61pnu9e29pJ1JusC9l+/qPNQlV9e8oC67Ylloj8PaLhvl61bv00J +nYaenxy6iLU1afd6CdZYumi8cUjDtuKKKjSq4fw+deNBngUmBPctF98CvYxd +Oy9jfH1KYOzBqvvKwJDntQrr6tpVOmQpvctPujbK2m54oNXj531dO6iuufSt +/n6PrpVZL+JeMGGq9neoTJfSsv5+n65VlN+Ffa5rYNbP4B5wGvfx7BZ93wuU +XthqXgV+5YKQ+7Y4f7zkquSjWj32Ruv3da3Gliu2uB7q5r7zW41Xx8dv5CNb +fS+2KuvGHrEmVuEddA3CrtTvLdrczhfBSZI/yLjtW0b+hm3OXzXr91uzze/4 +QMl/I38gaZv7B93caLN+rpRcjjJvZP2sD1X/cQWvSb2jHCn9f7TKPq3rKHSJ +rmd4nvLrcBO6VqfPlT6ma7Ws7bAHW62fqaNX1FOD49A1WPKYvPuCfjhC8hGt +tmdvZL63ep29WekMXWO7eSz8GOOB8XNvq/UMdtY9rbbdsL/ua7VequtbTI97 +sYPub7U+HMU6LvkApccp/+5Wcw486yZdB6r8jSGD+W9Qekur+4P6bos6We/I +b/Zw2Zsjn79TbhHlL9rD+dR5favrop4Fz2Cs3tnq9oyMNvO+3He70jt0qesy +M8Ekrcaot4IDW41J6A/GHn3ybt44EgwJrkRmraTflulw2ZuZj61e668HY7Qa +y02XvHar8e3dkke3GgPfIXmnVuPJw/JuK+0c2eK2jWjxHJvZ6jXx0azH25sZ +/21Wq9cL3pv3Z67QXzeEfCd2Satx/nVRhndhTg+Mccu4Hhpj++ms5fdU/49g +Ml2PSf4+5JewSeM38oK/PQqmIsX+AM+onras5UdbzV2wRpSiTHvOf38kyu9P +v8Q9B3Xz/EZvDMA+1DVbZe7NWL5H6TZKV2At0jU54/QypWuqnlbd25K1boHD +RUesrfy9subi0B/oEXQR7Xgk3rGI/aOrEO17iO+DTmg1hwOOOhCbrrtkPWOm +fi+na6F4NumlGevhXxgjuqYUzCmAtW6K8cuYZ/wyFhnDlxfMM7DGPdxqboc1 +jvkNRmeOT6cPcsa0j7Sab2GdfSjafEd8L/qwpOuinMvfmvU8Bjcwl5m7YAvm +L/MVHMOcRfeDk9D/t8YcHNbN8x5ehblP3T9GX22fd1tpJ9wJfUT/7Jh3+2jb +MGy6Vq/jO+c9DhgDvTX2XgQ3SF5C6Se63lKdSyr9V8nf6GKlH+u6SNduuvfx +VuOEZfT7c11ZyccpfU7Xsbp66Xoe/IG+UjpH11hd++re2a3G0ntjR7caS+8l ++clW45A9JD/RaqzSR/fM0/UfuCalr+k6VVdT1+vgFZVpKH0FjBJjsz3GJP2e +ZD0vpmpsdWbNmWwX+fyd+Qr+Y84elGodT2x7oSPhatGT++jaCn2va2v9ffuq ++/EAle+f2H46S89/X9eZusbpehM+RtfJul6Gm9S1uK6PWKuynrt8O9qwCP0N +PpO8qNJ3wWRgAKXv6JqgazFdH2B78H2VfqjrnJKxJ2MJu4+xfGvo8KML1o/o +xv0L1qGUgZOAt9049OptkY9d/Hbe/BjpO6FLDyhYV4KxT473YJzgP4FHQD+/ +GO9JPtwDXAl6dbT6Z7nE9ut+Beti7FB4YjhodDJ6Hl4DPA8ngUydowvWxWB+ +nj8j2oCtD5+Cfqa+W6JO1lC4b2zbQTm386eMxxw+ih8kH6n08BhL43KWh6r8 +ISVzVOgHxtqRUWblnP9GPrgb/A2fvErOuODbjOs4IupZLeex+YvyB+b8bJ5L +3umRT7tOibadFmN5nZgjY2O+jIuxw9h+PcYTMvPphCjDeD8t7h2cc/nfMubS +r4VHQA8W/Rv56rz9BNjmtaLtXngM0ntDxr6Gp4CjIOU3tvZaGmNXxVhirYTn +guPCTmHswxssWfTvqcEnIIO3Dyr4Hsr3LrpO6h+qOqflze0sEzib8v9Q+fvz +tutpF+3DNse+fyBk+CrawHpN2Qei/AFa81srnufYWNhI2FmHFcwbguEfzzsf +u2lkweOGMUOf0Vf4IPCHMJbAYyMKxg3YkozHWTEm8avgnwBLwHlcHX2Lr+Oa +qIf7boh7Dyx47cdOgf+DzwIDPJw39wHvcUjBv5EPLbittBN9ik/svxlzVI/E +d4HDeSzekZTf8Dk856541qJF/43840I3g2PBs8eFvGrO+dR/juRpbdYzZ0m+ +vM16aarSK3X9Ebz6piVz62fnnI++Olfy1W3WbxMkX9jmsXpVm+v8S/dOUDo+ +bBl8pPCPfEd8enCj9EmH0m1K9tVg321dso03UX+7uM16Bq5r89B/8Fublexz +wF8KJ4h+uKbN7cnQn0oP0TUEjMB8CXth+Zzbg33RX/JpgbvGSz6/zf1zjtKz +dX2uqlZS/rltxv/ntVmep/wBOZcB51/Q5nvRDzu22XbDxvlE1+6SP8EvoPJn +toXt0Gb5X8pfQfkTo/zpbW4PdtC4NrcZm2VSm8tQzyVt7hP0zEVt7nO+IxgL +rAVXny5sebewyU4MDHaq0lMCW47Ke+0AY1zR5u+OPpmk9lzaZj3zna5R0Q+s +VxNjzcIG2iPehXT3kL/UNSLeC5tpdPTbyDbn01fYRiNDvjjwBeOHdfLikMnD +v5HL2i47KvQt6TGhh9F/40MHrp7zmslYnRjrJ+3k+aOiDeDBA+PbwaMio+eH +5vw8ngWuuTCwzVmxtjPOf896LH2Vsf26Y3yvKUont1nPw1NtWTInBU+1Rcn8 +0WElrynce2bO5dHtcFxblcxzsa7jw2Hc8vzzow27ZS0PifSCkNfIuW3ML7DD +WdHOy9r87Vhr6INJ0SdDcn4G9XPf2XEv+OLc/4cxzgmZPuPb02+lkuckugW/ +zJYF+49OkO79s8v27tmS81VjtL5l4YuqceJk5XdVjSunSE6r5jyOl/x7l+3p +Pio/tGyeoa6/13Qtrfxly/6NfKzK/9pl/uAkyX932S7fT38fWXUfn9Jh/xPr +er+y/cGs3WcoP1u1TT9ecreqserRkn/uMl9ypuQeVePKiZIXrhojr1/2M6j/ +MuWXq8bL50puqxrHHasyz0l+Ev0q+QXJs3lHyS9JfhZMoHRi2TbqBKX/1e+f +GcuSn5H8uOS9hJ0aiW2VvSU3E9sk5+ueYtU4cazKvyr5BfpB8nuS32DeqExS +Nd68UHKpavx4qNIJHcYQW5b9G/lEyW9LflXyyZL/KfltsIbkNyS/RH9Kniv5 +Pcm7qC27Si6pP7eTvFPV2H17yTtXjek3kbxF1TbNppK3rNqm2ULyNlXbKptL +3rpqW2UzyVtVbWNtLHnzqm2jIZLXq5o3WVfyhlXzBNggu+ftH9lI+ZtVbVet +I3mDqu3zR4UFVktsz/fLWddhX+/Tqe9XsS3He6LL+HYb4POsGvuvJ3mjqu2D +9SVvXDUXsKHkTau2w5ZXnyxStY3SX3JT8rIlp42QNyk73gU9NUbpuA6vu5uV +/Rt587JjX1jjRysdVTUG3ajs38g76Lm7VG07ndZhPyu4c1vl71i1vXSg0tM7 +rCM3Lvs3MrqfNYC1YFvN16Nb/BubqLaw8dKRGmOLJMZBa+redXXvPNnCWypv +26ptSOblOlXPzW2Uv0PVduBWkrer2p7cT/X0S4xFRkjumxhL7iO5T2JMt7v6 +/4KK7avtJU+smIvdTvKEirnYbSWPr9g220byuIp9EXtIvrBiG3gYPu2Kec+t +lX9GxfziDUpPq3h87qn8iyq2kXaVfF7FfsKdJJ9VMVe9s+SzK/YX7Sj5zIr5 +7OGSL6nYJt9B8qSK+ezdJJ9fsb9rmORzK/ZT7SL5nIp9j3tJvrhi235vyZdW +bM/DZ/P8CXAsyr+y4liTkZIvr5hHGCF5SsW8w76SJ1fMd+wn+YqKuRtiW8Z0 +WqeNUjqtYk75AMlTK45T4e/XV1zmH53uF/oEHw/vin8HDp2247uBGzw+bw78 +JunCmyr21R0Jl9ZlDhVdxlqOvkXHsX6j8+HKeW/8KegvMMF8frToPsYX8Dj9 +lJj/mqTxcmmH1/gRGlcTq17rdi47poe1/DSlF3V4Ldq17Pge1rCTlV7Q4XVu +97J/Iw+TfELVa/5xSs/psO20U9m/kbchNqFqe5Wy53W4/NHKn80Ylvy90u+q +5g/HK/9byV9KPlXyp5L/Sdskfy55ruRxkr+W/AXYRPKT6DfJZ0j+t+TPJJ8u ++UvJn5b8/EkdbsNWZcfSYaNuW3ZMHvbhEZIfRX9KXrLF85T5yhyetpB5jP3K +jv8AG13S4bgWMMGRyn8cXVpyv06Ivh1edowI2OJwyQ+jM0v2BcC9wc2u293P +of7tVeboqu1M0rM6LO9QdiwgNu3Isr8l33GPsuNawBP4j/Ad4dfeq+xvyXdE +p/Tu4b8N0Hv17OFnH6TxeU3FdubDSgcl5n97Vb0GoP/xwY7Imzs6VvUfk7ff +E75oz7xxCD4uZLgjsMkekQ/vxL3XST5L9a1VsV1CumbI/yl4/MP5fIGejPJD +9fchFdtAR+WdTywcfuB98uavGAdgVtbczxLrrEMCU4Ot4WQmJa6LerYpuE3X +BfYenbc/BR5seN7xKvijjov5+JXKHxvP/SNiVx7upTGo/CPz9iM8Ix3777Lj +HCfoWWtUjOXhR+FJwfbEBO1e8bPwQXAv8VfnKH+dim0m/IHz25C1z+IfeXMI +X6nMr4nrp++Pjf7fquB202bwARgUfHJgvBfPpc+Oivc9puB6qXNuwfXjE+H5 +a0cbmGPgUXALPCH9DDe1dcG/kfHPHhr2NT7qQ6I9g1n3K8bjxE/tWbEfipip +vSoe2+8mXg/QxcQ07V3x3CIGanjF43Y3jb2DO+wjej+xXkYnfyx5dKfjBf+Z +WC+jkz9MrNPR5+MSt4M29FPat2I776PEOhr9/InkAzvNg8xNrMfR4Xy31ePb +PZd4XWRNfD7x2sm6+ULitZN188XE6xNr00uJ1zzWu1cSr0OsQWtXjYNZC15N +vP6hl19OvOax3v2sd129077ETxPPSebja4nXQtbB1xOvl6wfbyRe21jX5iRe +m1mX30y8FrIevJUYb4G19lW9B+XtSzhd+YMqtlHeSbzOsca9nXhNZU16L/Fa +yzr7r8SY4NAYU4wtOH90LnYa9gXxcXtUrMfQ13B5YLO7aE/Ffsc7la6U2A9E +jNtOFc/NH7qM7cB1Ywr2/RBb+FOX8SXY8pcuY1Nw6X+7jBfBikcp7VOxXX4j +OKXT8Su9wTgdtm8bkk/sCBs08d/IP0Byr4rtZtLjOizfLXnlxH7BG/SsmxP7 +KfdX2rNim/OPLmNrcPWiVeNUMGqlavwKdj1V6aoV8wT098Do8xm6d3riGKYH +yU/sD7tX8iqJfWb3S141se9ttuQ1EvssqW+VqPOOxNgCXFGtGn+DvU9WunLF +nET3qjEi+PCvLmN9cP5vXbYTsBF4p2M6/F7ct1Lcu1DVGBT82VI1/w73nqva +lsCOyFRtS2BHPMncSezPq0s+qsP+41TyYR32rbVWjV/Bru1V2zDYL4Wq8TRY +urNqzA3e7qjatsGuGat0hYq5H8bI4TFOBihvxYq5n08LzsdvuIfKl8GWYFHJ +XZIXaTM+xY6i33asGMuCYynbGeUvVP/sltiHzTOXj+dSRyXqOY5vVTFHdXDB +Oh19fmLiNtGeYxLrIPQPZftH+QOZBxXzH6MTj1HGZ5Ux3GF/ZE3yER32r49M +/Bv5EMlLVMxR7Ze4r+nnEYn7mn5eSumSFXNXlF08yh+W+G/kL6Z00Yq5qEVI +O8zVHZT4N/K+idtEe8YkvofyyyhdumJOkfc4ucPvckTiv5HPvFw25iYxg8TP +wd+id6+uWPcSw4T+I3aFGI1vC47TWKVh+Y2a+eo1273WH9S0nKv7/qGRv1zJ +cdX45nYpOR9+e/mS46rx9w0rmU+HS1+u4dj652peH5FZ34mh/rrguBTi7r+K +/JUazn+lZpzy74KxwfLK/1Ly8zWvycisg31Lxgdgg9Fq8xA9lxtWbPjeOTXr +d9oDphqjMmvDp6pM35y5DfyAxDLA0+Cnhk+CF4EPZD8EzxgRvCax/HCScIfY +03Bue2atm7PBDfYouCzPXDueOzxrTgg/I3wtGArej7jy/xb8XQY2LL+jNq9Q +cmw6PlPWDHwM+BdYh/Ab8X3hpMEg8GBwz+AIuCx45P4RY9m/ZMwH3iP+n/4B +87CurxEyewEGtttnOqJp+bea1/hVI5+1fP7eAMk7lJyPr4E1D94froy/rxZl +diz594J9BKu02w8LFvss9gGx74R4bfaegLUuiDHQEF4+u+D4mnv1e6LklZTe +CWctecWsfbZgNPpzWfXbJ5KfVJvv0O/TCvbTT1f9p+L/iHik1duNmQ9oWv6r +ZiwyOPK3L7mt+CPYX7BSu33Kw5uWf6rZdh0Q+Xsqf0XJP9S8PwIZ3/TOJfct +McPblVwef8e2JZfDjwP/D/fPNwVvrRD37tN0X/2iOncquW3EUO3XdN/+ofy1 +cl7z8d+ByVaOvqW+5dvtE+/bcD8/XfP4WS7yd2+6zL9r5mXhL+Fm4dfh//A7 +EIMMB8o3bbaYT4FLKanO7SW3K0107SC5Q+l2eefjX6vr9y6Saw3bdNsVbNeh +c5OCedZe+tswyT0bxnD4bvHPwnXtEvHAO8FTROwu97BPC04efDaqYF/qLpJ3 +ipjeroblitJU186Sq7Qx73bij9s17/xpkssN19/ZMJ7Dd4uP9b6ejmWZ1jQO +wzcG9iZej/hj2pkvme/uFRw5+7fguttK5sRpGzo9LfjvxOxjP2A7EMPeFmWI +tc9HPfijwf1gfmwIbCfsCGyC3SIf2273yAcf49vDrwf2xYdNPUnJY4txhY04 +LLjrht5zV/qtYbtn12jPYg3XuajSRRp+VlPp7br/lIJjTYhpJdaTOA30CnG6 +6Bb8M/DT+AXw7cCF4BMhnrRfyfEGYJ1swf4h9nihj9BF+JHgVPCJoG+Iv0TP +MPaJ72Q8M+eI72Su4WuCz8ZXhf8HPhu/G3sLknhfuE9iB+E/8b2wzw+/DD4l +eB18YeDRYsF/x68FxwPnj38MXhwfGf4o4gvxkaEniCtFPxADxR7ENzOei8SS +ouvABL+3Od6OOCb2I+JvYq8b6yVrJbG06HT0OdjixzbH+XEPexbxefGbfY34 +wogRZk8dcTLECLO+srYyd4mxZi6DFea1uV3s72QvHL5a+pq9j3Mz1vfEv6Ln +wSvfRBvZZ8m+OPy/rPPEfLO+Eys9tOS4L/QZ8a/oJdYxYsRZy7ALr6p4DTlI +v8/Ts17OeN/huaGTsd2xsahnpuZUTXNqhtJ1WmyrYy/znP5RZkZivA5WJ46S +WEzsZWzTG7tsn8IJwd1g294IBu9y/D2YEoxJzBoxDNwLf/uL7n2+0zF9xALP +C05m3RbrNXyFtKVPi+2sB3s5HvSBXo4B5D7i+mZE3BSxJ8SK9o17qXtIl8sd +qmd91+Xxd1NiewZbBpw+qctYHV5wYpe5QdrYL94Re5HYMGxG4s6xccFm2CJn +dtkeeVH9fbye9zWxy4n3FoJFDtdzv+/yeMUPMKHLvgC4pfFd5pdmq8xFXY4V +3T0x5gZvYw+N67JNhD10epdtImyy07psl5U7ve+OOGnspDO6bCthX57aZRsT +bguOi/jHWT0t39HTfcp3JyaQfSHEb6GHid1GdzPHidFCRofjmyHmA+zFniv6 +58+m/Un48pn/7BfBL8IaQRw3awZz8KiK35N33DbvNenyiBnbIZ5LnBjrCmsK +MePI6BZ8P8T3sP6x92XbuJf9IjtH24gBpx7mAr4o4lTQQewv2THqZP8K8Wes +L8SSs96g08jbNfKJcSP+jvG/d4vXGvrnh97OP77mtYf8+9WH+7Q4bpS+hW8l +Vhg9dVXTHONdPT2mkQ/uZm4Xfy16ub++3ZEVz4mn1TdHVDwP2C8B30AsB3Hu +9BVxgPjViMUBE0xJvI8aPQJfcmLF8/mHDvtOmEuDlX9CxWP5uoqfx7N+6vDf +yJ+aeN81uviqxPuuWcuvS7z/mbXzVt3zsdIpetxlSl8HB+ZsX4LrsD3hzz4q +mE+7ROlruvZTmaUazr+/5n12LxW8B4H9fHMKjpNnP+OLBcers58YPo55R7zM +CwXH5BCH8nzBcSbzv3/BfcKeTeIpiaUk/uWKguNeTgZ3FLxOsg8YexhbmNiW +5wqOXTmMuBHJt2W9L+/lgvfLXKT0VdagnOPXXik4Dg0/6MGBjcGExAmBFcF4 +xMqAS8GfxNDMj6XJmyPGDsJvOib6iuedFLiaeY7uJF6b57FPiXhOsD0xQ2B4 +MDB7ROfjTOJPJN+Q8Te4VPLjxFoonVywvgdTTysYa2MbsqcRGxA7i5i8vmFf +sB8SDIy/7Zj4dtgR7LfELiA+9hzJd4LrwCkF4/1xjJWC8T46b07Feg8dOSBi +aIlTJl6ZpW7/FsvgDdL9Iv+ixGcEsB5T/vaIbf6+l8s8rDHzXS9zdmMlX5D4 +rAHW+OnSbTMr3vd2TeI9/OxzuCzxWQOs2fgViGlG5+PDIF4fPcw+HDhLbNtL +Ep9ZwLrOfic4TuxZ/BbE6oNLiD3eN/Q/upM5z3xHH7Beoit+6uU950/U3PYD +4x3BwsQXgieJVQIXgglZh58uuI+JjefekbFWPxPrNbHys2PedZf+OUK/F+7t +uPVRUZ71lnz8JWC6/aOf0et7xz4J1sN1Y00kVu3ZgmPYqINnUH++t32yLb09 +10dFPnYF+azt7Al+ueJ9waOD+4TD/yCx75Cxf2UqvJV6rMMNYcODxxbEeN0S +eI/4JzDVe1nHP62fMcZDBhdlcy5PHNHrWZcfSGxbznGNP0i+u6f1KrqWGHJi +SognwW4fGjHkxG8Tm0JsCbb3kIiLxiYn/3bsgpzjdYhLAVsSgwXGm5O1vCx4 +L+d3gYsASxM7BXb9Nuu4q4MzxszI2EE/Zx2ndTw2Qt1r6qkNY1ry52Ucg0N8 +J7bJb1nLEyX/nXV8JzFFs7OOG+iZMX5GBrsOr3vNO1l1fpx1zNa2yp+Xddv2 +yjg+iXpuztgWoAzcyD09bcPf29McCjGj05W/cM5xqz9lHF9Em4hdn668P7Ou +h7b9FTKx98j3Kb1fV07lHsj4nl+zjn+/lW+e829k6pwY78szePcZfLec67kz +5298W8bfGfnWjJ//h66bMo7n/zPkIVEPzyTemjK0a7rWwHGp9fodOY8n6lk1 +ZMbhgz29dj+kNJ9zDCuxW9jbyDMk98i5f4inwvYeFG2DV2LMzMzYzhkY9e9d +N3Y5peH9DozDXHyHv6PfZoZ8S4znXNybjX4g/5Gsx1whxl6fkOkjytDft3IO +Sur18xb8m6nX1ZvxgaZePzs1N7dIzRNX8Qmm3rtzqcpsndq/16X8rVL7+S5T +/rap96Sdz32pbd/xSg9PvR4eq/SI1Ovtw+z7T42t7mXff2p7+gHJF6bGlSn+ +o9T7hx5U/kWpcdmjki9L7SN9RPKlqfHjQ5IvTo3v7iu7HbRhsuTtU+/lmyJ5 +x9T7/Z5T+l3Z2ORypTun3vt3heRhqfffMhYOjfFwZuoYEeJDNgCD6toudNG7 +Wc+jQbo2zPjvHU3v4UyU1vBzpd7zhF2CnkUP1vHjpN7zNJX+SL2mJsrfLLWv +8W3V1Ssz/9iITE/8Qan32KFXlg09eT9nQqTGufdIPjd1jNv1nHOTGkccr/To +1JzcWKVHpeYkJqSOoWE9n8bZNqnx0Q3ELaTW/TcSq5AaB93EuTupsdXtxD+k +jo25Df9tarw2o+xvz3e/quxvz3fft24MfZrG+ayy+5T+vANffOp4m5llt4n2 +PCZ5cmqe5WpiIVLjuGvL8Q6SP685rm9m03rvqax171c1cyZ3NL0WvJb1evG4 +7p2SmpcpNL1vudh0H/fV1Sd0+AtZrx38Xi2+7TVl9yN9eCcxDKljxq8jfiM1 +1ruLszFS7x24LWddh25hzw77yMAAd6vMOan3a6A/Fwr9gJ5YOGTWmWKsNcQn +sz6xNhEzzjdhLWbPATiBfQfYeNiY7E0g3hi9Qz1gxQV7BLEpsCfm79nPeW1j +XSNeGt00M2yZW2N/EXuyiXV+KfZGsJ+B/RHEsBMbT/wzsaDoPvQeMdWskbSZ +WG/GC5g5ifhmYm3mx7TlHefM/mY4i7tibwf7OtjfgS3aI2T2arO3H18He7g5 +m+m+2IfBPgrelz3lnNNEzM6PwbdsEBxVJngqbOZm9BX71OFWwG7wRoXgjuD4 +sb/h+YmBg5NtCdwF5oIDIb6e2Hs4lr0C74J1sbc7o3+wscGKlCHu/o54X/wF +3INux082PGQw3TnxjN2jDHU+UjM2+6GXeT9iQqbF+rB7jAfKUg9tI7aWWFt8 +FuB49rbBk9+X9d4h8OGade85PFFz8PCc89nLcxc6jPmjMrtmXQ/r44DIZ3/S +N8GDwTXNyroNd0b5PeK57G8mJn5O7BUgpp/YeDDhtIgDgl8AM8NrzQv+Db6L +ffzszyHOa6+67diTGsZFxD2Df0h/DjwAp0R8DbzQ9LCRaAf8KrEWcF/gXnzL +YFY40vnxHlFuz2gzsbnI2FbM3dExf38PHg8+j70X6DxsSbAEYwOunj2C/AZX +rBHtpG1gGub1g0of0tUi+eGMsRhcJtiMc0jQl9i2YMZVQneBW1cN/QO2HRi6 +66D4jisF1sgH3uC8EdYo7FDsrYlhc63U01zYykof6GnbA06Cfd+s/9jO90c9 +zP17c8Yu1PloxnsXH8t4X2AxMPCDOWPf2wMnF0J+JGOZ+8DV7VGePZr8ZqwO +CZn81aMenrtaPBc8eXfoQGTa1fL/MFX3yOe+1riXPkXm+fQ1Zehv4v/BqZQH +ww6KNZr9U0MDU81QOjJnu/iy4CfwQ2EHnxa2MLYzZfA9jdG4WCHx2npR2Ppw +6eyRRMYGXyHq7B7pflH/xTFuGDM8Z/94Fv77qTEm+U1+W6SUezxjbmS/aMPd +8Tfy2XsEXoPrwN+PrQ6XC5/B+nlz4Hr4+70ytiHgxbEvsBvWiLHKXB8S8539 +I2sGzsQugcvHTuEMBHAi3MuBoRPQDeyXAcuCRUeHzlk+ax7llOBSiD+YFvOR +fhqVdb+x7xmMAE8CNzA++AHiMOBB4JDBpKMCl7LeHhBrLrj1wMCu3WRfvpta +j+6qtDX1vvYftM4+n5rn2FPppLKxze6S21LvN11I976X2n5eWPL7qbkq9ret +FmOIvW+DYk1lv8bgWPPAp90Do/5IzHxqngO8vHBgZvBaPjAbexlWj7UW3NcS +2I+9DGvE2vkE8Q+p/cHLSl4l9VqbJ+YlNXf5OLEcqXmCJST3Tb12PkI8T2q/ +189qz4up+3Rp5a+Yeh1aRvJKqfVyD8mDU/Op4O7VA3s/SQxMah/wcqpnYGr9 ++RQxOan91j92qE9S8/O/SV4tNQ/TojJrpOZPf9K9c1LzQN+XjbmZZ2DhHoGH +u6vPP0jtZ1gr5ghrLvg3GxiY9/6t6nenvb9U3eYxGnMn6Bqbsb2SC5uF32ei +A3RtorxM6pjFjZT+XfXasKzk9tQYgvb+WnWbWVt+inmxnvL/rHrdXUvy71Xz +vhtI/qvqtWQdyX9UzV9jDy2U2iYarvTMsvEq9tCAxPYIe1OGBPZiv87QwHZL +qkwh9d479tazxx4eBpvp4rLxM/ssB8Z8Y9/bqjFX2U+0Sui1pVW+mBqjHKJ0 +xcS2Fd/wx6q/I9i/khg/8w1/qvo7Li65W+pYHGyFS8rGunzbn6v+voy1Uoy3 +R4nPSe3rfYx4ntQ+y3U6PUYZn7+z1yM1vlm30+Obsf2H8l9LjR/W7/TYYlz9 +xd6N1Bzl2p2ulzqHSn44sX90zU6Pdcb5GsT0peZMNyIGMDWvul6nxzFjeAPJ +Xam5179V/5up9eefkl9PzZ+t1en34V22kNxIzXu+ozJ3puZHHyL+J7X/uJy4 +v+irlTptW2JXrthpexhbeC32WaTm41botP2M7XyF8pZIgxdO/O357qupzGKp +92UOkrxo6nPBimFDcHbBgE7btNiz7CPEj8hewlWJwSz77LCVO23TYs8OJN6z +7LOoVum0fYttu5Seu3wa9oPye6fmfDfGt5aaRy4lnj/MHezsdVPb2m2Jxz1j +Hjt+7dS2fCHxnGG+tCaeM8yXy5Vumtr//WDNZz+9Ipvrv2rLs6nx9ZIq3z+1 +jYGtPyS1vY+tv35qex/7fs3UNv6jNZ+X9GrTsb3EEBM7whhZJvU42Uzv0is1 +Z0188dNRBvtv49Q24K/Kfzk1ZhrS6W/M990QX0dqXn5TyT1T8+mbSK6n5rtz +0l3vpMZcWclvp17HMpLfSs2t/6b6X0mN2doT6yD0D3bthqlt22JinYI+WTyx +bkIvLZZ4PjOXf2EfVmqMAF91T8aYE38EuBfsQf91RB/+Q+kFZeNLeDvibrD9 +wFd35YxN4bhuz5kbgl+CU8Ne7dv0GUb9lD6lem5PfQ7aw6whqf0NswKvgFXA +eI8E5rtPf/88sa8CXm5WzlzVXcqfkTo2CAz5QGA4MOc9ge3AmQ8FpgSX3hf4 +bxm9x/TUfpfbtdbMTP3ecIzY2PTHE2WPM8bYk2XPMebX3Kx5muGBA+E9Pwn+ +ZoPga5Zt+mymPk3/HhQ2P9gbfmduxhzPBsH5gG8WnBcChlxwbgc4atewKe7X +879IjIE+rDmG5NamsT18BDz2a2rnral9RfATg6JNvN9t8Y7090+J+7x3YuwC +bmGu75Z6vsPZgG/ANvAQ7MGDi4AvYR1iDUIH7JFaD8C1sMcJvqVXYswEXoLj +GZnaboef4FwJOAr4woNT2wxwQvum5iDg7VhjWF/gnMDHYGP4of1T20twQoxF +xuEjrCOJfVHwRuytgjuCt3w4bKK7qa9sX1yl6bPbupQe02K/BTZk/6bPiVtO +6YMqPy8xXufb7B3f+l7lv102dr5H8ltlY/anM9alcKKfxBlt05vm5L8JbAxn +xt5FeDO48S8CA7MOvFH2WsBYfrPs8czz/pExHoGj/jWw9GrBH8ErwSf1ibFF +35xTdv+Axcqp8RgYrTM1TkM3J6GfwYCV1DgQLHxu2XgY/o++gwOE9+r1/56H +3Dvjfi3Gb84CeSdjTpFveFbZ37F302fzNZr+zueX/a271R33+QkcZtNn59Wb +5g3uCTv0xbD9sPsYO2eXPX5GxVxgbvxccxzeB+jqmmMN/yn5+5rj595rGqsx +n5hHP9YcY/d+0/zrhWXbt7/XHIP4YdO21YyYh0s2ffbZUkqzdcewfsz5002f +D7gY53DXHMM3t2lO+qKybY85YUPyDn9GfN5HTdtNfHv8NdgZ55Vta2C/wzPi +T3ma9TZ1jOPzkq9N7Sd7TvI1qe2wZ8FuqX3PL0i+LrUv+VXJt6T2Hz9Vtg8M +/9feoWPQTy8Ed0D73qs5Pu1mte2tOKf7RslzdO/1qf3cz2f+xzfAJ8Bj4pN6 +qeazD65V+ddqPnfg+qbPcvk+bPwXVc8NqX3nL0u+KbV/HZvx5+BesBkZ318F +vh4b+Bu8PDbwNnNiVuj5E2JOMDeYW2PiHubT8P/3t+Exb1/SvTem9vE/A2ZJ +7ad/RfLNqeMAJsdzeD7zbFKMGWxV5jB+tNll8+lw6cuHTco44UwLcBa8E+cZ +wRnBA8FJnBscBXr+mpy5gvlnBeUdi/JxzecirtFwrBp2L35G/C/I2L/4Z7Cf +sZ1H1r2n64yG4zDhZPE/so4eFlzBfnXvWRrX8D5qzv8iXpkxhF6E4yVOiLgO +YpVPDnsaPoHzU/Fds/+fOCT2A8HHEo9JLAbxlcQkDQ7+jT6Az4BDODW4DbhB +9vgRd0scM/sHrgyOETucNR58Tpwe74VvER8aHAr8yTc1n4W9bsM+Kd4Rznn/ +uveYjW847houBv8gvM6k4HC+070opvUbjp2m//HDsj7PDb4CfgmeGr7o65rP +Gl2nYf31Tug3zrEZF7zKZzWfNTq0YX33dpR5t+a460HKf7PmmPZVG9Zh6DL4 +z+1CRqfBb3J+GXzcAXXv35ug8v+s+czuwQ3zy5z3B0+3XZxHyrmku0e/gYs4 +N+ui+Nazok/BTOgLbC/ioq/S36/Omd8Dn/47MUYFI0zLGRe8FuUoM6LuGKnT +Gz63iT2L8AdTcy4PZwieeDt4lXfjXnDFFUqvzJlj5MyxGTGWOPOJfatwG+iR +R4PnZKzNjDKcX8W+SXiRFeo+K/wfDesycAQ8P2scz2ANQne8EBzjjKiHtYBz +ttgvjv3KWVDs6cQmRlddGXWgE18PPvOZzP98xXBO8NTt0Se8M+spfQ0vhh4b +FxwS4xYOlG+MrUd6b6xZE4IfJZ/vDj+eRB2UYzx01H3m1DYxTu6O8sT/Et9E +DDDnLLI/Hvu7e/Qnuoizr9jvC9+Dzno5ON5n4z3ghuGK/lN2ezmf621Ph/n9 +RL/Dj31QNo4Bw0zJeS3vFVhianzrQt3n/mzRMAa4Ir4vHCn+GLhZ9hQgE6uA +brs29FsmMP8tobtmBv5fpO4zj/biPOm6zzDas2GsPX3B3Gdc5KzDbyIvZ+zE +/dTJN+sR+B5s/4Xe5YnUMVLY3D8mtrtXrvus+cMbLoctsIAvB/+z9s0/eyZr +HhP9Mz0wf0uUhx+GM/glMW+wUt3nyh6mOh+oOTZs6YbL3hvlH685ZmWZhv1D +nFU6KN7pxpzx3hJ1n0O0r8p8Dl5LzQ2jo+hD9NR1zO+c9dW7Zds5rH1L132W +036N/5XbK/rtpuirLyKf9Q+e8tuyucqedZ8VtWvDaxrt4T7wCM/iPni1r8se +y/OUPpk6fu7Lsm021pnF6z53aZ+G77kh3qtX3Wdp7ab8r8CSqfdtfCb5sdTc +LXb5N2Xb5rW6z37aReX/pbxHU+sE/CKcSYp/gu/B+ABbP1Vz7FyfWBfuDBtw +VsisEZ+UbU9i1/yzbLsRmxG7FPsUHAPuYFyBLxbcz9z5SOUfSOPMxMi/LXAI +cSMTY13Gvl0wxmfGOOfvt0YZxueZMR7YN4FMzMbcsu0KbAr2BOEfJcYDfwQy +focvaz4Te62G7dUHYq7NDfywIDbg6tDBv0bbwCv96v4fDAc23D5scPRC37rP +FBvd8Dy6LeZaa8wFnvtCzfuqVlCZ98q2l04OHbJV6BHK3h/ll6/7bOExKv9M +zfuq+kl+seY9RAMkP1vzvvH+DeM7+of2LlP3+Wj7N9wG3hGc/GnZthx2XC7a +D/75WPkPpcYYt0f/k88+JtZx4qm6x/cFA7xa876zlRv2v3LuEv6GfLSf+Q1m +gLNYMC7ujnvnY8TwR3BGI+cQwI9+WLbtjd3NXDoodD74Z3RgHr5zj/jW6CPG +IH6J7nWfg7ZRwzGHIyIublK0AwzTo+7z6TZuGO8wvsF1jIt8jJP5+1zyjkOG +s2Bcw9EQEw2HTYw06wcxSPhd4Hvxz7NPDT8ReAY9x76qIwL7EWsMl0bsMTG0 +8NzE8q1R9/8IOb7hc9O/jVhg9H1b6HzWOPoB/y/foRjfAkyH3gfXPRfrEvOO ++AC4okLMP+Yh+ooYTeIX2Kf8YSH2RXfz2RCcvcm+O+LqOUeXGCnO3eSMB3hu +zpLkfAh8KfhX0NP4t4gJ5BwB4iFZ3/Et4YPGrw2Wwj9OLDMcBrG76DjGHf4w +fLbgd/y2+Dr+k9jfAR5n/oPPie/GVzD/fNGcsX4m1tdRgUnAR+AJMBJ47db4 +G/vViIOEOxsT84uQCPbswIneGOUoj60Lj/h1Yi6RGPbdwnao1H1G5A4N17FP +1MN59fiF2IPDOXDsLeEsOM7TYn8OZ2rBnf+QmD9P4wxf/GKtvc2JtPV2H9wW +/fB+2XwHXAf4c3q0b2Dd/+fiqIZ/7xFt5sw/fAv4CgfV/X9Hjm64X/g7PAb7 +OvFlseeFM+3YL8R+RPZy4utg7w9c53kx3zhXH46K/SytdZ85uBn/M6TuczB3 +in6gT8HxxIHj5yF+m/9HAI81Mcbg+BiHnXWf0bmd7n2il+OGn+zlvZb4kdiD +w1ll7MnhvDLO+WNvEvGznMnHHhv2y3F+PlwXe51Wr/v/aBzX8P9SwRfH3hzO +P2OvDmegsa8W/97886tr3mMyS889qea9cHf38t7VYwLPg8GnxnjifBLOLScG +GDsBewHMhh4thC5FV7cGzrkndB74567ATfPt+Zy51Ucz3kvDGSX8jwlwwQ2B +DZDBCqzv6NAvQ4aXBR8/lrFOzsVaMyt0KnOe/S+cr0dfX6a8yTnHDdI++B04 +Es5R+zb0wE3xzLGBzcHoTwc+B5sv8FeQh88C3Eq94FtiEuGt3spY5zLfmEP4 +pb+L+tF/6EFsOjAf2A/sBPa5Lvc/LEMK/mSNZa3FPmIeMOaxuTjjGn4MXhHO +5vKcMTIcBz7kYfGutI02rhnPRfe2133e61YRK0sb4I1JP472oBtvyv0Pd5Cy +vn8b7wIXMS++xb+i/fPiXvLmxTcCd4I/weTgSvDDAsxIOjzyP44ycDZ8l0cD +Y3Dv3Iz5HGyXlzK2X3lnbIEr4r2xy+gP+gXOkPveizrpm9nRV9hh3IOdwZkF +l8e6w7h9MPe/+OcHY+yuHHX2jHqmxPOmRh3YaIz9OTH+sW3BjXDgpK/Ht5sT +cwTOinn0+oL5EuvTs/GtrwpMxX4uzidnXw1tnhPvS2zl6IgzHxjPov5mnB9G +TPuCM8opz1x8KOYX8+35eB7z8IX4PTvKw/vxfrxnz+jPyTF+SPnN3CGeiT6h +bx6OOURd9Av3Y8cxXhg/zKP74/2eifkyJeq/Jt4VPPl/kEycdA== + "]], PolygonBox[CompressedData[" +1:eJwtm3fczeUbx78yj+cczznnezzO8/D9osjeI8koSgjZhCgpUlqipSU7EZKm +WUbDLNmVpCnaew9pL9r1e39+n/64X8/9+V7XPc89rutz3U/NkRf3veioIAh6 +lg6CMvytWCUI/qkcBDsqBsEtiSAoD/4NvBU8BTw5EwSz0kFQrTAIbi8IgqvB +14Hz4Dng7rkgmMC3meQ/pr6TwReDbwK/Cz6tKAj2C1PXFursRf1Z8Hjwxckg +6Ir+ePB09D9E/8l8EFStFAQlpP5xEPxO+TKkxyk7kDJ/kq9AehI8BHyYsmWo +41nqmkc6gqyItB555QpB8GMYBGWRv4bsTlIB7QfIdyK/lfKP0N5fqSAopL0e +tPcY+F9wFnw6uBu6L9DGtehupsy35H+jzqalgmAG9X2P/FTwRObjEKkB9R+D +zkPoj0H+B/JypCcoO5hvCeR/Mb/bwbPAU9CdzXxGlL2DObgSPAlcBTwbXAH9 +P9Dfhv509E+iT6XpW036eG5Eu+hfjX4R+rPQnwS+AVwMvlW/D23v0zfKPkYd +H4M/Ir2D/F3SX+QrknYjG4bOd+S/JR1E9iXpG/Jfkz4n/wXpVfKnM97rye8j +pak7xfx2Yz7GUr4H/c3w7WLyVzH+r9A/RPoU3c9ICyj7Mmk/slfQ6UTZEehX +p69v8NMcRPcL9RHdj0k/6bdkPEfI/1ro/C98q/Pft1PVN8pfRl2bGMMPRf5N +9Ft8pTlF70vwJ1q/pIXgz8Efan7UJ/WN9D75D0i30bdXSAfo3xsJz8W54NsK +PScfgoeCbyb/Nmkn66WY3yNP6stvM19lSS9R/iXKz9NYSfvAz4M/ofxw8BzK +vkeqw3zVpP+rkZ2HTh/qyFHXK/y+Dclvov4/yVfi22ng9yg/mPIzKPsG6RTN +F+UvTXjNL0T2quaYut7hW23qr4F8Jflz+TZb7YNj5vsofrNjkIfgCcgvQj5M +vy06fwUe473M112kWuTPRv8bdMvxm31On6ahvxfdp7U/kT9B+od8JdIe+nIW +dc5G/zbK10S2lDbngG8HHw1eDv4X3bTqQH8k+r1pfzz4l8BrbBb689GvQX4x ++m8he5P0MvgV0gzktyKvTv4e5IHOF+R7qW8U9f1KPlfktXEu58FQ9O9Gvzb6 +VdF/GP06tLmYsYznYLwHWX1wHeQjGO9a8J2kY8D1kf9NXUnSU9Q3nPpnofsz ++HCh1+TNpDfAB8A3ao9pr5FeI/86aSryfeBnyF9Jmg4+AH6e/DWk/eRfIj1L +/jnS99Rfmvl+hv7dSlqQ9hrS2rlFc6C50BlF/kV9Q/42+FXyU0jPqi2dl+R3 +S0e6mm/ye0lz015TWkvTSfPSXuNa27O0J7Q3NOfk39IYNBb1UX0lzUz7TNBZ +cB3pefLPaX7I79E35nsaOiXk5zPf3zGeoxjPcsYyk9SF/KXoTEX2Pj/fzGpB +cA7zegrra0wxawc8Ffyz1jN7oT26lShTkd9mLr/BEuRrdK6in0T/FvDl4M/Q +fxr9q2j7NPRLgQfSxq3Ir0b+NfhF5D9VZd+xLsaQHgcvRf4g8gLtOeqbDb4E +/DH62/Ou6276ECRd5z0Z34G6+/StH/kVfMuSD0kdyBfyLUl/59Pf68kPJKXp +SxXaXIy8B/hTipdDfyHtzdC9Rv4D2rsdfLPWMfgTcEf00+iXpb77qe9G5P2Q +t6e/Z9HfyeAB4A7gs8E90b0347rLk2YhPxd5F+TnIx/P/JyCzvf0pwNpBvKz +kZ+MfDTyO8DzdO/qLKf9O8G3gf8GfwdeBJ4D/h38Bfg+2upLfYcCz8H11N8H +nCF/AfUvRd5L54emi28tSlhb5bjXmItm5E9FtgidX9A9TOoGvhP8B/k/SaeD +l2RcNkWakHYZ6XYh3ZWxTSFbQmWasb+P5dtG+ngB+tekPSeai+HI15DvnaXf +jHcVqSVn7GH+liKdwv06FflG/YYF/s1uTPs31m87TucZ459I3QfBzzL+eeBJ +ujd0/oPvAa8Al6a+csznYvAq2VngiuDl1N2b+g7S3zRlrk17jBrbeQWeu2UZ +yzSHCyg/mfI/6n6i/pXI+qPztcwavg0gf3/G+SqkOzLeY9pbmtOb0taR7DJw +K8Z7hL6UJXVjvPOp/3rq/173M/W30PlIHY/w7UK+3YR8EPmO6I+k/yvBj4Gr +gEvAvXV26MxO2Mbqo7MKfCd4F3gc+HrwAtr+gT5dAr4RvBD8E3g19W1Htyr1 +xdS3CtkQ2Qi0XYvUC/3XZTMlbEN1RrYA/CXlDxV47V0LnlfgNTibMdRnr7Sl +vusY3wrq30DZDDhH/QfQH5V2/d/zbQTn02Ta+CfwHa3f5hrqm1vg3+h0nYXC +CdvM66nvBfINKNuY+tqQWpF/nW+PIltOWke+UDYlsuNJrcm/KXsS2VrSM+Tr +8K0+stXYemuov7bWKulm+l+vlMtcTf8fQP9x9KuDj1Zb/D510d/Mt3HoL0P+ +MPkU8jTyh8BPgY8BHws+Ed2M1j91rqb/V6S9x7S3epFuy9gmky2mOe2r859v +dyVsg08CzwTfi+wPdK4CT9edCv4tsO1wM3hJgW2IadR1Dm0MT3qPDZBtp/IJ +25w6C64C31LgM+E++rsJWYhuEf29H/wouDI4D+4v2w39exL2AaYjH0G+M/Lz +kLfTHJN/W/YusmmkM2Vnyl5G1r7Ya+Fd+SPau9Q3VeuT9o/Q/iDZiup/wjbM +7Rn7NPJlvkPn0rTXnNZaa1I/9D/Q+BO28bV2bgEvK/AaGiz7Erw0YRtHZ+3C +jOvSmXsG8s+kn7DNItvnJvCiAttAA8EfgxcnbHNMpc9D5QcwhlGMZQr4DPCJ +4HPAU9Gfi/4K2UL8xtPIz6HPMWv5Lr69yno5zBqfzu/xCCrtwBUy9q26860b +50ESW3Oz1g/5rqQC8Ebdr+S7k1Lgbdo/5GexXt+i/PGUH0n/viJ/LmMsTdtT +qa8e9R/NtweQjwb/xXpuQ/njSOfF9rHka71EfXXJv4W8lnwx2Rrg3qQQfED7 +g/w/yNuCjyeNAf8Bbk2+FWkUeD34t5T7rL4Pp/1qGft6y/j+GvKjZUtT/2vI +Z9L/N5A3QD5IPhD6VTP2hZeiPx35K7rPNcfI30b+O/M3K2kb5jvdTeDmpfzt +Peo/lvp7yj6n/lNI5cHNqGsC+/dNyv8d2le9K2lb7IKM70bZZCejXw79Ruhf +Gtk27IH+pELbiD1Dn5k6K/VNttbYjO8K2VyB9gDlTyCNpa4u6I9Bpz39m6Dy +sg3lryfsU56IzlHoRrIXaK8J/auNfD3ysfTvffBPoW1P2fw9ZG/KpkuYI2iE +vBZ4Lfh8dE5C3g79i2krx51+A7IZrL+q8q10RoD/Rb6brt6B/m/oH1Xku6E/ +dZTS/IMnVrQPuZn5/Id2M/SxV+yk/PN8q0X+APIa4O7yTWPbUlfQxs0Ftql6 +8i2NfC/6NTRW5qcDuD3pQvAwdIcV+ayNCuxjydfapfOGfBmdmeCOpIvAnXQ/ +MJ7LaO9S+V/gKWnP7eWkjuiUQreY8mcyn1voX1DJa1hruTP6o2jvhFKuYwPy +31Pec9p7G8F/pLzHtNc6k8qSr8e3cdT3DvPzJ3XMTdonaI78Z2SHyDdCPp26 +x2V8t7ejjZfR/wX9+UmvUflO/UP7BvKh3hP/E/q3EEfSCVyQMRfQE3wyOJmx +r9Mrad/8vNC+tHz0/ch/Ds2tiBMRhyIuZTd9qkb+On6PAlID1kIR6UvG11Bz +If9Z65NUoZLvzKvof3fqK8zYd+uj+4/9945sGNlvrIk3kB8J7TtoDckX6RPa +15JPIl+oV2hfRD6RfKnTQvtW8ql+IB/kvPc0J+v47RrzrZ5+O/y7b8mXks2V +9Bl5Iu1VzJhr6iH/mf68C+4DnlDRv+WFGduC+k2117qG9u205zpQPpEx93Ma +5duCy2e81ruBB4OLM+Z2FqfMRZwVmpsQJyHfa0hoX0w+2BD0SzLmjpagP4P+ +vCZ/XvXTn2+Y38bMZx9032FuTyUlKvlOvJb5/Uz2kLgt+XPIPgLX1d5S/Tp/ +qf/X0NyW5qAF336h7L/kO1O+GfinlH/PnfhOv9D2X6Hvkv+vSfp7fsa2tXxO ++brdkF9VaJ/3CO0113lIOou6mpJ+pL4LqO8I9XUPbSPKNlSZLvQnlTGXcDr1 +HyU+A/kjFc0hHibfkTJ7kZ1fwdzWmaF9Y3Fcv9FeS9pqQRqpsYCbkm9CGh7b +Nx8U2veVj95Jex5ZbflHjHcr+j+kzMmIm2lM+gL8Be3Vj3zWnSibpsBnXlf6 +VynzH5chn11cEOlFcSV8W8d5soyxnQEupvwtyF4gPQfeJj+T9o4k7fPJ96uD +zifgh2gzQdsVkfeRLc+3Nsgujmx76ozQWfEn7bdC/gPylsguiGxbakwa26DI +ttXJ2hvgAZFt4c76rcDv5123fFD5oj/k/dvfDr5LtkZkW+wU7X30qyGfSXt/ +aa8gm8De+YU9dag8cyE7TD520j68fPnS4M6Bv7VG/xrScSmfAToLPtf9nbRP +Kd9SNrRs6ZboHMfcbWB8G9Lmah7m2xWUb5HyHau7tl9kW7uTuA7weN1pKd+p +uls3UN8+6mvItybUdz3yE1LeI9orm5C/jLwp31ogT9OfEYF/k7YaO3hc4D62 +i2xjytZsg/4J6I+mbw35PevSfgX2/9DIvlEX8AHq/zbvuZIPLV96A2VWUN9Q +3T/oVouclw8uX7wEPCRpG1e2bgweljRHIq5kI+XvC/ytOrLVsh9oqzxpDfkH +dL6ST5AeJD8lsu14HPhJ8Eqtd/JlSavI3xTZlmwtPg/8kNYc+QLSw+QnR/b9 +WoEfB9+nO5V8adL95POR17Zsbtne6+XjBh5DVWTFjP8a+ebiRsAPovMkujWo +8xh0D+UtE+cg7mF0ZN9FnLe474f59jSyWnyrI/8QvBWcB1cFnxPZN5JNI9tm +DfKdyKvxrTryn+TPypbXfYjuiMi+pu5s3d2v57135GPL115Heo58XZ15lO8T +2bc6SfcL+jvZ+6My9gUe0/4HNwp9FumMSlZnrSheAl6BflTkO0d3jdbIj0Xm +dMTliEMU1/51xtyqOPdQ/klo7lwcZEX21xjKp1lbWdLZOfvI8o27gkfmzDmJ +a+oOLpQ/EZrbFgdbA/lFyCcXOEZTGfm00Ny+ON58kTlQcZ/Hggfl7DPKVxTH +3wX5H2lzqRv4ls2ZIxY3LE75jJw5VnGr8vnOAidy7ov6PIJ8hZz7Kk5sPPlf +0+bCGpI2cgd04m990g7y7XLmgMX9yqfM0P6U0LEBccjDc+YExQXKp+2QM+cs +rlk+WC5nDlfcrWIMJ+bMQYt7lo8kzkncU3XOq+3kz8w5pqFYhji2mbR3juyn +QscAUuDJoWMn4qQLxF+E5kbFQVeRfxw6ViGO+XHFDzLm1raC+7P+qoBvpP57 +WEdPyp7KmLvaLs6W+/xF8V/0qTZj6ot+Efg69O9Gf6i45rRjW+KkngKPzth3 +3yl+mfIvgf9G3ojyvSlfGXyNzm/KDwTnM47t3QueyHiPpG2bLQLfRPnnkX8D +jsWvUH+90La8bPIbI3OLLWlrl2xd5JNCc9XieP+m/NWhuV/FCBPIbwjNfcsH +LS/+JzR3r5jXevTX0V571spq6v0RfDnyLciypIXgMzO2zU+VHQK+JjR3rRhX +Weq7LjQXrRjl78ivDB2LUEzsT/BVoblvxdR+BV8B3kW+Muln8ATwNu010mHw +RPAO+S8616j/2tDcunyYGyJzrYf/4wo7gf9J2iaQbbBW/rPWCWkd+dMic30d +ZH/q/OR8KWJdleNbd2SJYufFCYob7BmZy+4o3y62jSRbqZ/6Jt8yMhctG0y2 +mGwY2TJ9NRbkrSJzg43BW3T2F5vbu1+/t85j9lQxv2UN1vsOrf3IXK5sPNl6 +LSJzf40o/xg4FsfLeXmU7jBkBdRXIWXOXdz7rqret+1l36H/CemMQnNW4q7k +M8l3GqK5LLbPJd9LOqXAc6njSur6kjafQ//T2Lri7MTdNYvMpTbk2+bYY9BY +yujOLzaHIC5hoH5r9E+NzLWK0xS3KR9YvvBg5P/mzRGIKxigtZI3hyAuYZDW +bt42omzF/lorsoWqOjbQAPwossq0mU2ZoxJX1SRyLEE+mHyxB5Hfy3wNEF+L +LB05L05e3HwlcP+kOXtx91nwwKQ5VXGrOfCgpDkdcTsPU9+SwN8qi/8D3xO4 +jkLddfSxL/mYPl5H/iFxzIHrDJHX4Fs/cafyxWWrReb+2zGevfS3CDw4aU5J +3NJayi8N/K2K1lrsuasrfoPyY5F3Kseeor6KilVEjtWcgM7T4oaQV0w5hqJY +imxG2Y7aI98rfhE5ltAC/Z367SLHdpqAt8q3p3yllDlTcaetwM3Br4IfAbeP +HGtojv4O/XaRYyVNwdvA0yPHLtqC98gXpXwyZU5U3Oi0yFzh8cif0tqIHFtp +Bt4OvhudO9ANdBbR3+rs/xmhY8nyEetFji3JZ5Hv8kHstVSb+ZmOftli7xVx +/uL+f8o7lqA6VffUyFxkG8rspmyNYnMvslFkq0wRP0VdJXwbjm5N5HHKnK+4 +36nIjynlbyORvxt776uMys4nzZEtyf5+jP1drdhchGwk2UqbqnqtdPrvro2K +3ZY4d3Hve7QHk46hKZZ2E7hmKX+rK38F3AD8Ebi21hfpzKRjSootzZF/j/wr +nUHI1ojDDaxTE7xe/Ar9LSRtEN8hfoZ8hrSJ/GH6NLaCfZ7d1PVC3nUpZqfY +3ZdV/k9xBd/oN6e+bXn3RTE6xeqez5sL0Zmis+WZvH01xWgUq9mXd1nFaBSr +eTlvW1AxD8U+qlB5LmXOWdyz3qDoLUo32cOK9SMvSjnmodhH3WL7irJJZZsq +FnOyYtiFjsnUQ35syhy/uH5xzuKe5XN0QLaH8TZlvOP4toH8RuT7E/ZZmhd7 +TWltqY6xjLcR3+qnHHNQ7OH0yLHKE2nvefo6Q3dEKetchGya+FTw0eLHwR/G +PiulI92GxeaWZOPK1v0o9llYR7ZP3kn5xuhcJv+/2Hn1UX2tVey3KLLhZcs3 +iBwLq08dj8g+LvFdc47sxRK/kdBbia7av9S9jW8x8pHI15J/P/bZqz6r77WL +3XfFMBTL0Bmgs0A+X2tk78W+G7UntDdejl231qDW4iuxfzvdubp7mxabW5UP +KF9QMRjFYuSDtkV2RugYh2IbemNRovhG6LcwehOwj9/30Yxt2++0z1mP65Hf +p/tVZyZ4jewN8GU6s8GrQvv2lyTtA8gX0Ji3Mt4tJd6rF5VmbMqjvy70240r +0a8GXhv6LcoV4BLwQ6HflkwAX0ZfJqZtq0zDRipG/mDotyaXy+cCPxz6rc1E +cB78QGguYrw4bPBK8CKdV+IdGF+zrG1T2ZCzwc2zthXLi5OQP5A11ysOeB74 +OPDylDm6ReCTsuaOxTEvBHfM+i2U3oDdAe6UdSxWMbwi2l8te4z8peJLkLfO +mqtXTKGd7LWcbT/N2y3kW2TNlYmTnwtulTVXLw5/Frhp1raybOiZ4CZZ276y +aeeAW2bNnYkzu03+UtaxCb2RqkF/ltKfBQmPqSZ4GXg5eEXKnJm4M9l4n7Ke +QuS7c459KEb6EHir/IGE3+DkwHty5i4Vo2vE77UrNJf4LLgQ+TaNuaLfjDVG +/nho7vVFcAPwjtCxmSfAWfSfyDlWoZh2Q+Q7Q3OLe8CVkG/J2fZXzKUJ8idC +c7cHwGnkO3KOZYizz4B35cwdivMXZyjuUGfy14zvAcqvqezYuGKS8h0vS9s2 +lw+5lPL3Uf8V8peRLwAvB/cFdwWvVWyA8gdTtvE3V7UtsqQM+0h3EforxA+i +fzXysuKrK/utmnweccTiinVnHKQ/ZRSPqOy3ePJpHtR4Kf9awm+2LqG9y9O2 +5afQvweQPxZ67HpztkD+YtZvrfSmbwa4XdZvo/SGbD64Tda/tTjeMaHfTOmt +1KJCvyUbHTqvN2WjQnPu4toXgC+n/SvT9i1m0H458dWV/fZRPl+M/OnQbx+1 +52bLdwq99zRnS/SWLuu9qxip3qqdrXhRod+sLdNvlfVeVoyyOvXtDf3WTmfQ +IvLPhP4tNKfyXRel3Tf5sBH6e0K/9VqI/Gbyz5LuTnrN9wsdE1UsdHKh3xIN +4NvUQr8pmqu3bOIskz7j5sg30nmT9B7W26e+ocvqDdRi+fpZnzWK2Q4MHTNW +rFh1jgwds1SsUmO8XXWFPku15/YU2ceVbyufbXeRfWb5yvLRdhWZgxH3Ip/x +iSL73PK15dPdq7Mj67NYMdql4iKyPjsVU10O7pH12aoY7Xq97QC3S3nNhtXN +UcjH+Sd2TFKxSXFsb+Ydc1LsSRzY/rxjiootilN7FXyX7IGsY/N6E5Ej/0za +3KjaaMbvsTs0V6wzYxnr5f7Qv41+kxzyp0LHQrTHplPfCVnvFb35a4r8ydDc +uPbAncg7Z/1WQ28U6iPfHjrWsENnPPIuWZ+1iumLAxYXrBhbu9hvIVajszLl +NxGyKWRbKCbVhvyllF2dsa8unRXo9sz6rlIM+27wKVnfdXrzsVLvUXLmFsSR +y6eVb6uY13GxOTRxaXrjeHxsTlncst7gto/tM8t3Vky3dWwOVVyqYmodYnO8 +4nr1hrdtbA5bXPbf8klixzQU2xCH+WHeMVnFZsWJvqu3FYxlW+izagv9nRSZ +yxWnKm61XuzYtDhLcZdR7NiWOHhx8VdG5qbF4YrLvTwydyzOU9znmMhcpXw4 ++XKXROaeFQNQLOCpvGMfsnll+xbHjj2KIxdXvpd0IbLRpJ+RXxiZi5SPJl9N +NqNsx1F660y+ZuxYpzhrcde1Y8dKxVmLux4WmSuVDylfciM2Rwn2RzPKr8rb +BpEtUo1vm8mvI+XJ10M+T/edOPGU39DoLU3LYse2xZmLO+8a2TeXjyBf4dES +16V4wHLxGZG5WPnI8pVHReZ+5bPKd83EfnsgjlZcbSr22wPZ/LL9J+XN1YnD +EJdROfZbBMU8FPuQDSlbUn1eX2KbU7anxriJ/K6851Jv/v7/9q/IMV3FcmWz +N875DbXeTusNUcuc38Dr7bveZLTJ+U2F3lLozUvrnN9w6+223pA0zznmrVi3 +3jTVytlGk22mN+7H5nxH6G7Qm/m2Ob9h1dtVvak5Ouc7THeX3kTWzfmNt952 +K6bdMOc3+Hp7rzdJ9XN+M6634npDIx9dvrp85onM7dgix6gVm9Yb9e1Vza3K +R5SvWEH8SwVzCOISdCfrbp7At3LIGsV+iywOSFzQtXmvtQ/FKSj2FPttxszA +saCmOb/51FtPvfEqTx1Ly7iNBPmTI/vW8inlW07jbjyQsW0pG6hsNbctjkFc +w9+xY42KIVeq7jWqtSqf6amqXpNam3pD2LzEb0/qhuau9QZFnIS4CcX8x8Xm +kMQl6c3AwNgxEcVGxDn0jRwDUSxEHEavyDENxTbEefWIHFNRbEWcQu/Ia1pr +uxPzXIX+vUXbh0iv6n4nHWFsX4WOVd0mG441+q7i1eRXBeYoxFXozcYFul+Q +HSQtlb1MOkj5r8X/U/4G8JvyRWTP6/5OmsMRl6M3ChfHfos9JuO3rnqTvZr2 +Hg1ta+oN+v3gjaHvAt3ZK8GbQtuWutNLg/fmHNvWm/AUeHPOXLTeqCfBj+TM +DetN+Xbwe6H70qiU33q9lLNvJB9plfRD26aKga5RfaFtW72Rv0/xvNBnr2Kg +4hDFJepNfT/yBdXMNWkNaS1tZmz7c/+91UN/J+XfDz3XTRRP4O55O/TcrUVn +L/J3Qr9F0hyKcxH3ojdIo2PHwBQL0xuic2NzQuKG9Mbo/NgxLsW6FLM+O3ZM +TLExxZTPic2BiwtXTHlEbA5LXJbeAJ0Rm9MQtyHOYEhkTlXcqt4gDYrNgYgL +EecwODJnK+5Wb6AGx/ah5UsrBt0kNgcpLlL/IzMgNucl7ksx/CGxOSxxWYrx +D43NsYlr05uAM8nvYT4+Yz5uT3qN/sp8fh56Lerbl+CPQv+WkzWH6H8Qeu3p +jfxrihWRliS9hsXBiYvTm45hmj/0Pw291rVGD1HfJ6F/mylJc+LixsWhDmS8 +u9H/OLRMa14xRsUadcf0R/4k8g9D90VtNozMFYtTErf0aN53vd746K3P/wCA +KEUi + "]]}]}, + {RGBColor[0.825459625, 0.82918175, 0.8009545625000001], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNlktslFUYho8UShmmY2fK1Ok/03KTsgKDbjRG0OhGl8aYaFKtLlyYiMZg +W4Fi2y0SU5K21AULTVTKxbYIomCUXugFNsTghYSFO10RNSEx1sT34f0ILE7O +5T/nu7zvd/k3vv7287tXpJRuaNRpNJZSGi1rn0/p/XUpLTSl9GxjSpdzKV3R +mNGdce136XuHxjbd36t76xtS+qfJe9bTEjqv+yXNPQ1+26251mBZyOmOdbPu +dLakNKv31/LWt2ltSr/Ueb9VY2PsmZE5WU2pqvezmn+us64mnS+vSqlfd16J +s4WwYUnzokbHag/WvNsue/fJ/n/1bqAiXZJ5TjLH9H1Aco5oPqP9Zp2frVoe +diATPQOh69c6y8MG3vCtUfvVNfu/VvNnkj+n9a32lL6XrG1a/6D5jTUp7dbo +1P1FYbBH9jwnDL7K5KNsPaf5zdaUjq5MaZXk9En+AY2X70uprcFrcN2kMaB1 +UTb8VC/+tB7SOlfzW2Sg/yGN69J1XDyfLBrf3pzvnxEvuYL53xkcM8MR2HN3 +g+YbTcYO3D6XXxf1fSozJ/slJ9N8oWr7pjQfrNnPD3S3rd5r/J3Qmwfk4ynN +49I7k7fP+3KWczbZF/x4Sf5ul7wtq433pOy/us72juR8Bv7o5n1e+8Mr7CuY +4N/e8BG8OsKvxYgT+GO9FBwTC8QT/E5U/W6/7F+S34+DnfTOa/1Y2bZPyodW +2fad5id0tqhvJ3T+cGbbhyrWjx34BG/gA4+nAodvM/u9LzBcX3GuNATvXXnb +/laD4xibP1Q8dUrenlbj93vBd8HsUN66P86Zd3yZqZoveNsccXNVOqarvnNR +84+yf1b2f1FwbBKr8HW4YnvPx92nQybf4QYOpvP2Bb3UATC5HR8RD6cjjxYD +57nMnM5GvOMDOpC9NeTfqtnfed25KZv+KDgOz8YbcqUt6gt4UT+uRd24kJk7 +OGS/IWpIj/D6T3lxsN3cYO+XmevXUtQKbOmLXCP2b4bersgN9JHvYEiMPdjm +mO2rWAay8HEwZ6zJw0/aHRdnMmN1rGC8DgTXcE4MkEvI6q+Ynw0V+/1bo20g +L8nTtVF/tkQ8fJ3ZXriC/+mIgYuRG+QId4kh7r9zv/3Bz4Go0/hyOuL5TlzD +JTiO5sw3OvGbOod99I1CyTZdyowfvCH7WKPxAg/qO5iA/fXIUWpkd+DD3fHG +u/nJd+xBLnURf7nbHOfU4P6o1ZejFt7uKfXWwfunmhVH6jHHC8YVHMDjiGzu +KjpedgaWvKW/UVc4o3f13BNXd3oRNRNMiCXq4PJKv+cM2U1Rc3ojF+ENPljX +1xwP9Ja5kvONXCMv5qMW4Stykfln9Dv63qTsnSqHjfJrpOy4OJ+5ruzQfJKa +VHa80ldPlJ0Pg8ExvO26p8bT58fK5uZE0b2BeD+u9emy+fhL60Nl+0C9Hc65 +JnD2d9Hnw1G3qL1rovfRA4nXocCKuvhqi3Pgm8x19NN29wXk8fa1orkBb+oa +XL4oOR/pbE2zaxycU5+JP2ppX3A/H7yA/47A5JHMOBIL8Puo5FwqOfeIkbno +id2t5vGFmv8BqJvUH76NRW/FxuHoL8wjubt9ZzjWxORYvIXnwcCcGFwoOQ55 +Nxp9i1qKrutRS0cD29GQz3pcve7dkvMD/ieK5hB7wQff0Hkk7LwS+dAd/2O9 +0fuGYg0XTwrLZ1pcA7rj/+Fo1ERw6W213cgEZ3BB33uttncsbIZf4hvZ4Lwc +eYe8wZD5P0iAX5Q= + "]], PolygonBox[CompressedData[" +1:eJwlk0tszFEUxj/STjvtzJiZdrTz/0/blNAVEhZeEaQ2LCUkJI2SsFMiqFc9 +1l47iY14xKPzoDU6La3QN3ZdsOvCjpV4RCIq8Ts5i5t8957Xd75zbvuhY7t7 +Fkvq5FRxngfSOA/ZGqkMvtQsHYlKLRHpcVbak5P+VkvnG6V0m3SKt4UqfzNb +tEG6kZH66qQvCel14LmGyD0GPpyU8sT2x6XumLRjqb8ZPr5EOoltPun5duFT +JtdgStqKPc/9RSj1RJ3TVerNpKX1+DRRo5969bz11kp34FQHvtDstc/B5xf3 +dXD4RC/7FklrwSVyl4j/RmwHNQrUvplx7pPch/Apgguce63SAfhub/C7vU9R +/wOnBH7CGSDfIPF1CedsNa221RwlV578GzLOdQL7O2I3cQ9rPOdI4Hg//IbB +rwLvzXLfpf6zwLnb2wD4NrEHqbmsXtqJPnmrDb+vCe9pEp+j6LEC/2nwU/T9 +gf91an/G/0Grc99MXIx59qFXBb1CYr6j9caMa2Ja5PGrxb8N20ryzZDvZ8p7 +sl4sZ3XOtV+OT8R6p97ZRudmcd34d6Hhx5hz/k2+ad7/EdPLLs3hG0eT+Zhr +OAKHDuydnGFwO/wWqv3tCjiB7/uk74rF2O5ta/Bdsh20GItdw5kAPyRmNXgV +5w332cB7MY1MK9PYtDZNXnKfClw7i7FY2wGbk82ogq0Seq9zaHa52Wc5m3at +zKeMvcVyY7+IvTbn2HY0Cn4bOhfbadvtIvHFlO+iabQXn66I/7HT6NPEjLZk +fPfuwyXO/U/StbXZ2F+YTnsPtiO3Mj5zm7XtxFTos7U/Pgk+gW8h5X/L/uSZ +rM/Cal4j33jo2tmMHsF/NPTdtJ7GwP8B7RiduQ== + "]]}]}, + {RGBColor[ + 0.9129594355950474, 0.916160239761895, 0.8776958675986122], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJw1U8FqU1EUnGjBNMmLeclLSZpQDGjF+iuiIFqLCIJ1a11pIjZE26UuWkGp +O9GmrtwVFBVa66u6cCV+gS4EbQtx4cIqOOPcLi7v3nPumTMz577WpaunZ/YB +uMi1n2swDHyNgCNZYLMArOeBn4xtNIBxxp7zuzkKHD4AvOW3XXT+KEFazB/i +Gud+uuB9JQN8KxpT2LdrwCf2adWMJcwXDWMMAs474j7g/ewYsFgFzsXAbs5L +93aHgC1ibnOt5d3rS+R+Wr2c+94oAx8S4EfkNct7JxjfKZqT+onzrZzrpPky +7yQZ694Jd/o1a0rJa63hvWLqo9qUerqs22aPMxn7In/ej7p+Pmdd8kD46rNK +TafIb4P7j+R4s+z6s03WM3atTp0l+sXcEuNp1nelXT3FW32lWx7s8Rd3+btS +c883wWPlFBcXnZV7Qm+Xid8nxkgF+MzzoGiP5JU8FN9u8ER1qhfWBda9jp1v +k3uH63tkbr3g5yvmX8aez/W6NUw2rXs+sR7dE395qtnKd3mm/tOBgzRuhVm3 +iXPlIPBrzPPvB/1pwZ4L5/wI8Kzk9/swCm9HvrHn8bLf1kzZ+lX/l3e7iX1f +ZmwxNo+F2GftZ5n/UzKevveq3mfp21zV7+kYMRe4v8/4VGJcYSo2UXb8TtOz +W+VcHjGer1jb07rn2at53r9z1nOSdXOJz9IoDMWlSfrkmbT2qz7veSEf5O9/ +/UOem3zV7ORBJ7EPwlsKmHfpaYdcOnXj6t9Wrb6dsJ+MzUl8NAfl9JamYv+r +4qX3ov9Ab0Y6pXe9Ya/TwHGFdx9X/Y/9A1N7sVc= + "]], PolygonBox[CompressedData[" +1:eJwlkksrxGEUxh9SJsyfGTMyMyIl4rNYiSFZITszG5cRcluyQBE7hJWysRDK +bRjFykdgodzKxsJs/E5nceq8z3Ouz3mbB7NdmVJJHVgZthuXMlHpICx9BdJv +ozRaLbURdFgvpRukfEgqEjyWkC4iUrZGmq2ShrF18vvAihXSNjXO8EfgX/CH +4A/gV8GuKqU73nu8Q7XSG72+sUXexzHpNezYVUpqpl8r/S/xo03Uh78F62GW +U7BW/GdmX2C+B7ghbIbaH9TopVd/nfeymWbhTsBuQl7jlxp/4JvE3ifpDz8f +87fhBbCWcvctNp/0WQy7S/puO8z8GfiOpsUT+V9h12QaLR95d5c4toyek4Fr +OpnwXQdirp3tXFnrNzDtrWaO/AJ8J/nv8N0NPrvdYIL8DvgiPbfgNrA5NMjL +NVsmNkdMLvCe1tu0OY/4LUwjqz0Vda2sh93Ubms5K8Tvwx9RP1/lf8J2qWPG +n8B3Mq496r0t5jrlf8VucoM/nnCdbWabfY3eh3G/tf2BBeqlI66v7bBkt4v5 +37GcUKPfIgcW5vb/PzBvVQ== + "]]}]}}, {{}, {}, + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{6177, 6273, 7096, 7095, 7106, 7105, 6310, 7926, + 6519, 7819, 6520, 7820, 6516, 7254, 6518, 7252, 6517, 7253, + 7954}], + LineBox[{6567, 6271, 7307, 7092, 7104, 7103, 6309, 6852, + 6853, 6851, 6855, 7414, 6854, 7688, 7949}]}, + "0.923`"], + Annotation[#, 0.923, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{6176, 6272, 7094, 7093, 7174, 7173, 6506, 7178, + 7179, 7175, 7177, 7176, 6175, 6270, 7091, 7090, 7100, 7099, + 6290, 6839, 6840, 6836, 6838, 7841, 6837, 7842, 7959}], + LineBox[{7460, 6269, 7153, 7089, 7108, 7107, 6311, 6834, + 6835, 6833, 6845, 6844, 7088, 6268, 7412, 6843, 6705, 6707, + 6706, 6289, 6831, 6832, 6830, 6842, 7840, 6841, 7843, + 7948}]}, + "0.8520000000000001`"], + Annotation[#, 0.8520000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV09lTzXEcxvGvMbZkiaIQmsEgWyihss1QthYliRt/AP+Da8zYl7HLvoVQ +st7YKVuLfd+3ibvGjNfv4jnveT7Pcz5zzvn8TsqyFUXL24QQOni5nhjCn74h +XMYWvIJ/8Wz/EEroGl+MV/EhrsTZySF0SgphZ78QYnAOf1OWQZXyXIylLvS5 +dwhj5PfM1+rfxzT+nGwh1fOPsA4rcD/NlXe2d5d+LM7jb5lPoFN6edid4qjF +/rHyB+br9B/iOP68rJQe84/xER7AgzRf3sXe3fpdMZ+/bZ5Jp6Pvh/GUQK32 +j5c/MV+v34DpfLVsETXxT7ARD+FhKpB3s3ePfncs5O+YT6QzenMwkZKoLZ8h +b8YN+k9xAl8jK6PnfAM+wyN4lIrkcfbu1e+BC/i75pOoSm8u9qNkiuEz5S9w +o/5LnMhfkC2m13wjvsJjeJyK5T3t3acfjyXR/cwn01m9eTiQUqI78JPkb3CT +/luczNfKyuk934Tv8ASejO4uT7C3Qr8XlvL3zbPonN58HESDoxvwWfIPuFn/ +I2bzF2VLoueLb8ZPWBk9H9Fd5L3t3a+fiGV8nXk2ndfLx6E0LLoBnyP/glv0 +v+IU/pJsKX3nn+I3PB3dL/rd5En2HtDvg+V8vXkOVesV4HBKje7AT5X/wK36 +P3EaP042A3/z28x/4XR+VPRevMGvMb+JqXyV+Wiq4QtxBI2k/vxMeTufY7t+ +e5zFp8vysCO/w7wD5vKr9QdH98dV5rU4hE/Tv+R/34r/qOuAEP4DiYic6Q== + + "]], LineBox[CompressedData[" +1:eJwV00VbVVEYhuGFOtCJHaCEWICB3a2oc5wqcWhQsLuQxpz7A1RAyhyYCHoZ +E8e2/gK7496D7zzreb/3rME++6TGqrIr40IIA30MSg4hLSmEnvgQvowL4T5+ +xVnyDHkfP5UYQi+m8xrMwg94Tv4R1/F5+scwLyGEavlg5yGmhW/CcXhenoib ++Ur9XEzmF+RJmMNr3ffc7hPm4GfMxdum2j5f77j+UOdhppXnYQpelI/HfL5K +vwAn8BZ5KsZ4nfte2H3BPPyK+XjHHLeP6dXoD3ceYdp4IU7EVvkkLOKr9Utw +Cm+TT8ZiXu++l3bfMIbfsQDvmhr7Ar1a/ZHOo8wlXoppeEmejmV8jX4FTuXt +8gws5w3ue2X3AwvxJxbhPVNrX6hXpz/aeYxp51twGnbIp+NWvla/CjN5p3wG +VvJG9722+4XF+BtLsMfU2Rfp1evHOyeYDr4NZ2KXfBZu51n6O3EO75bPxh28 +yX1v7P5gKf7FMrxv6u2L9Rr0x0bvjOnku3AuXpbPw918nf5eXMCvyOfjHt7s +vrd2/7Acg7wCe02DfQlvjN5D5yTTxffhQrwqX4T7+Xr9g7iEX5MvxgP8hHvf +2cVFzxX7Rc8T+0yjfSlv0k+O3knTzQ/hUrwuX4aH+Qb9o7iC35AvxyP8pPvf +2/WPfg8cgFX4wDTZl/Hm6D13TjUX+XR85Htn5I9xRvTc9WfiU35W/gQz+Wl8 +ZncTs/EW/sCN5mH0P/Pf/x39LmZESgj/AXHOl9w= + "]]}, + "0.7810000000000001`"], + Annotation[#, 0.7810000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVz7lOQlEYReGf2hcQBY2JIOIVcUj0OUysTaiw0cIRLK0dCiucFRyeS0vF +qdBY+Z1i5e691znJuWONjeX1XESsoDgY0RmKOMMkSsMRr4WITXtZPrddoIoJ +/Y3b4irype0KU+mu3ue2uap8bbtBlrz+zu1wmXxru8N0Qv/gdrma3LX1UMOM +/sntcXX53vaQdszqX1yLm5MfbU+oY17/5trcgtwp+j+M28ooYTUf8YwXnKKH +fee7zi3yS+int6W344T7GYn4xSGOcYQD95r8n7zmOzAa8Q+gaDRV + "]], LineBox[CompressedData[" +1:eJwV0bsvnXEcBvAvidtkadyr6USsqmhMxGqwWKWbhcRs8g80YSEhIanE7TDX +4BbqcjicgxZ1v6SLxWBg8jnDJ7+c53ny5n3P7/P3vs7enIgY4KkiopXCjxFt +zufyiNeqiDc22KSuLOJ/acRQZcQwDTTylRndpvM3I4xSL3u2T3neAfukOWRW +t2WzzRjjtMje7I/0x2T4wwlzuh2bXSaYpF2Wy6n+jL/845x5edJmj59M0SEr +4lJ/xQU3XJOQ79ukmM5+D12yYu7099zyyAML8gObQ+ZJ0C37kH1P/S7b7JFk +UZ62ybDAIj2yMlb0qyyzzhrT8i/OBmqopV9WyVz2+7L/IXnuK58X95Pw+4f+ +l2cv0cQ3mhl0n/nVEQWUfIp4BxUvWoQ= + "]]}, + "0.7100000000000001`"], + Annotation[#, 0.7100000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVzUkyAwEUx+G/KlxB0hm7E27ALWzsWVgaEm6BMse4lotRZQw79r5efJX3 +3q+7U26PN0ZzSdYpGslpkZzRZ6mVvLaTHfeG+dztgpKm/U3b1QrzpdsVFS37 +u7antc3XbhMGdOwf2r7WNd+43TKkZ//URlrffOd2z3L9n/YvbaxV5ge3R1bq +79pn2oE2rFtHo3QbULHZTJ55YcKUQ88/eW5VX2Pm3R++mWq/3eSPI044Zst7 +834XWOwl/6a4K9Q= + "]], LineBox[CompressedData[" +1:eJwVzrsuRFEUBuB15kwxCqNAxl00RKvVkChHYSQjkkncLyGhYFxKtbj1QqHj +Cei8gEHj8gAahWlH5VN82ev858/ae2Bxu7SVRESF766IMcb56YyoM9wR8VWI +KMomach+GZHX5WXZDAkZRuUN+bx5gRxNTMgTNsyb5Gn53ynLsWtu7o2oOttI +zVmeeiJqlHXy7Jn3qXLIAbPekzqz3HZH3DGn20rNv2cueeWFCqc6Z5xwwTnH +8qu+iGsGGWLdjgJv3vLOozs+nR/s6Jd8TzPFg+yeG/1l+1ZYYo1VjvQzdqa0 +90f8ATIYMzg= + "]]}, + "0.639`"], + Annotation[#, 0.639, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{6166, 6784, 6785, 6682, 6923, 7391, 6241, 6924, + 6786, 6787, 6683, 6925, 7392, 6242, 6926, 6788, 6789, 6684, + 6927, 7393, 6243, 6928, 6790, 6791, 6685, 6929, 7394, 6244, + 6930, 6792, 6793, 6686, 6931, 7395, 6245, 6932, 6794, 6795, + 6687, 6933, 7396, 6246, 6934, 7574, 7575, 7198, 7200, 7199, + 6490, 6623, 6624, 6546, 6563, 6247, 7586, 7219, 7220, 7144, + 7146, 7145, 6306, 7922, 7923, 7813, 7815, 7814, 6491, 7680, + 7681, 7941}], LineBox[CompressedData[" +1:eJwVzrsuhFEUBeA1CtOYRiTuBI1Wq6DQIYgYUc2gonEZHkDp9gYoNDwCpd6M +xuUNNBKUpjI+xZe9z/pXzvlHNneXdwpJVvnoS6aY5rM3+WK8J3nvTmZlc/zI +mkzIv+UrsjItWcxJeVNesVdpp8iMPGzZOwaTbbNEwd5GfSBpMK9TZN9eY49D +Dih7o2C2cdOf3FLWLfHoW50LnmiwxonOKcecc/Z/ll8OJVeMMkbFHZ08+5cX +HrzxZr5S0190XmKBe9kd1/pV961TYZMNjvR/fW/RNZz8AUTKMyc= + "]]}, + "0.5680000000000001`"], + Annotation[#, 0.5680000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{6161, 6774, 6775, 6677, 6913, 7386, 6232, 6914, + 6776, 6777, 6678, 6915, 7387, 6233, 6916, 6778, 6779, 6679, + 6917, 7388, 6234, 6918, 6780, 6781, 6680, 6919, 7389, 6235, + 6920, 6782, 6783, 6681, 6921, 7390, 6236, 6922, 7572, 7573, + 7195, 7197, 7196, 6486, 6621, 6622, 6545, 6562, 6237, 7585, + 7217, 7218, 7141, 7143, 7142, 6304, 7920, 7921, 7810, 7812, + 7811, 6487, 7676, 7677, 7296, 7963}], + LineBox[CompressedData[" +1:eJwVzr0uw1EYB+DXwIDdV7UxWbtKWDqR1tCPBe1iLW1cgUERt1CDpK6hViOt +obgGi2hsJSr8PYYn7zm/88s5Z2W/WWpMRESR18WIdTZ4W4gYsjof8TIXsSnb +YiT7ICt/l5dkZX5kv6zJP+VV2cxyRM2cJEl5wL5vPpDTS/QOrA+p06RB0T3J +kr51x7wmrz/FnbN72vTpUaGlc8oJ55xx8d9LR1ySJkPFHbMM/OWRW288m08c +6Rfst8lzI+typb/rvj12qFHlWH/s/JsvpjMRf8FBNWM= + "]]}, + "0.49700000000000005`"], + Annotation[#, 0.49700000000000005`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{6155, 6764, 6765, 6672, 6905, 7382, 6223, 6906, + 6766, 6767, 6673, 6907, 7383, 6224, 6908, 6768, 6769, 6674, + 6909, 7384, 6225, 6910, 6770, 6771, 6675, 6911, 7385, 6226, + 6912, 7570, 7571, 7192, 7194, 7193, 6482, 6619, 6620, 6544, + 6561, 6227, 7584, 7215, 7216, 7138, 7140, 7139, 6302, 7918, + 7919, 7807, 7809, 7808, 6483, 7671, 7672, 7295, 7962}], + LineBox[{6888, 6714, 6715, 6633, 6634, 6182, 6115, 6726, + 6727, 6643, 6644, 6191, 6125, 6736, 7434, 6737, 6652, 7421, + 7422, 7368, 7369, 6200, 6134, 7271, 7272, 7270, 7274, 7273, + 6477, 7165, 7166, 7070, 7071, 6209, 6142, 6595, 6596, 6553, + 6598, 6597, 6480, 7039, 7040, 7038, 7042, 7041, 6536, 7832, + 7833, 7706, 7707, 6218, 6149, 7627, 7628, 7358, 7630, 7629, + 6512, 7241, 7242, 7240, 7604, 7603, 6301, 6997, 6998, 6996, + 7000, 6999, 6526, 7669, 7670, 7668, 7945}]}, + "0.42600000000000005`"], + Annotation[#, 0.42600000000000005`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{6148, 6754, 6755, 6666, 6899, 7379, 6214, 6900, + 6756, 6757, 6667, 6901, 7380, 6215, 6902, 6758, 6759, 6668, + 6903, 7381, 6216, 6904, 7568, 7569, 7189, 7191, 7190, 6478, + 6617, 6618, 6543, 6560, 6217, 7583, 7213, 7214, 7135, 7137, + 7136, 6300, 7916, 7917, 7804, 7806, 7805, 6479, 7666, 7667, + 7294, 7961}], + LineBox[{6887, 6712, 6713, 6631, 6632, 6181, 6114, 6724, + 7433, 6725, 6642, 7419, 7420, 7366, 7367, 6190, 6124, 7266, + 7267, 7265, 7269, 7268, 6473, 7163, 7164, 7066, 7067, 6199, + 6133, 6591, 6592, 6552, 6594, 6593, 6476, 7034, 7035, 7033, + 7037, 7036, 6535, 7830, 7831, 7702, 7703, 6208, 6141, 7623, + 7624, 7357, 7626, 7625, 6511, 7238, 7239, 7237, 7602, 7601, + 6299, 6992, 6993, 6991, 6995, 6994, 6525, 7664, 7665, 7663, + 7944}]}, + "0.35500000000000004`"], + Annotation[#, 0.35500000000000004`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{6140, 6744, 6745, 6659, 6895, 7377, 6205, 6896, + 6746, 6747, 6660, 6897, 7378, 6206, 6898, 7566, 7567, 7186, + 7188, 7187, 6474, 6615, 6616, 6542, 6559, 6207, 7582, 7211, + 7212, 7132, 7134, 7133, 6298, 7914, 7915, 7801, 7803, 7802, + 6475, 7661, 7662, 7293, 7960}], + LineBox[{6886, 6710, 7431, 6711, 6630, 7415, 7416, 7362, + 7363, 6180, 6113, 7261, 7262, 7260, 7264, 7263, 6469, 7161, + 7162, 7062, 7063, 6189, 6123, 6587, 6588, 6551, 6590, 6589, + 6472, 7029, 7030, 7028, 7032, 7031, 6534, 7828, 7829, 7698, + 7699, 6198, 6132, 7619, 7620, 7356, 7622, 7621, 6510, 7235, + 7236, 7234, 7600, 7599, 6297, 6987, 6988, 6986, 6990, 6989, + 6524, 7659, 7660, 7658, 7943}]}, + "0.28400000000000003`"], + Annotation[#, 0.28400000000000003`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{6131, 6734, 6735, 6651, 6893, 7376, 6196, 6894, + 7564, 7565, 7183, 7185, 7184, 6470, 6613, 6614, 6541, 6558, + 6197, 7581, 7209, 7210, 7129, 7131, 7130, 6296, 7912, 7913, + 7798, 7800, 7799, 6471, 7656, 7657, 7292, 7940, 7953}], + LineBox[{6566, 7256, 7257, 7255, 7259, 7258, 6465, 7159, + 7160, 7060, 7061, 6179, 6112, 6583, 6584, 6550, 6586, 6585, + 6468, 7024, 7025, 7023, 7027, 7026, 6533, 7826, 7827, 7694, + 7695, 6188, 6122, 7615, 7616, 7355, 7618, 7617, 6509, 7232, + 7233, 7231, 7598, 7597, 6295, 6982, 6983, 6981, 6985, 6984, + 6523, 7654, 7655, 7653, 7939, 7966}]}, + "0.21300000000000002`"], + Annotation[#, 0.21300000000000002`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{6121, 7562, 7563, 7180, 7182, 7181, 6466, 6611, + 6612, 6540, 6557, 6187, 7580, 7207, 7208, 7126, 7128, 7127, + 6294, 7910, 7911, 7795, 7797, 7796, 6467, 7651, 7652, 7291, + 7938, 7952}], + LineBox[{6629, 6579, 6580, 6549, 6582, 6581, 6464, 7019, + 7020, 7018, 7022, 7021, 6532, 7824, 7825, 7690, 7691, 6178, + 6111, 7611, 7612, 7354, 7614, 7613, 6508, 7229, 7230, 7228, + 7596, 7595, 6293, 6977, 6978, 6976, 6980, 6979, 6522, 7649, + 7650, 7648, 7937, 7965}]}, + "0.14200000000000002`"], + Annotation[#, 0.14200000000000002`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{6110, 7458, 7459, 7123, 7125, 7124, 6292, 7908, + 7909, 7792, 7794, 7793, 6463, 7646, 7647, 7290, 7936, + 7951}], + LineBox[{6568, 7589, 7590, 7353, 7592, 7591, 6507, 7226, + 7227, 7225, 7594, 7593, 6291, 6972, 6973, 6971, 6975, 6974, + 6521, 7644, 7645, 7643, 7935, 7964}]}, + "0.07100000000000001`"], + + Annotation[#, 0.07100000000000001, + "Tooltip"]& ], {}, {}}}], {}}, + AspectRatio->1, + Axes->True, + AxesLabel->{ + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + AxesOrigin->{0., 0.}, + DisplayFunction->Identity, + FrameLabel->{{None, None}, {None, None}}, + FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines->{None, None}, + GridLinesStyle->Directive[ + GrayLevel[0.5, 0.4]], + + Method->{ + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, + "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, + PlotRange->{All, All}, + PlotRangeClipping->True, + PlotRangePadding->{{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, + Ticks->{Automatic, Automatic}]}, + { + StyleBox["\<\"min(max(x,y), max(x,z), max(y,z))\"\>", + StripOnInput->False, + FontFamily->"Helvetica", + FontSize->11], + StyleBox["\<\"min(max(x,y), max(x,z), max(y,z))\"\>", + StripOnInput->False, + FontFamily->"Helvetica", + FontSize->11], + StyleBox["\<\"min(max(x,y), max(x,z), max(y,z))\"\>", + StripOnInput->False, + FontFamily->"Helvetica", + FontSize->11], + StyleBox["\<\"min(max(x,y), max(x,z), max(y,z))\"\>", + StripOnInput->False, + FontFamily->"Helvetica", + FontSize->11]}, + { + GraphicsBox[{GraphicsComplexBox[CompressedData[" +1:eJzMvQWUlEfQNopLkAQITnCHQHASIAXBPTgElwR3h+AuwV2Cuy8uQZZllWV3 +Z11Zm3UDggS9k33nqf66hrn5/nvPPefu4Zym+m2tri7r6p4KIyb3/DVblixZ +xhfOkuXfVP5tqdzR8s+BdNiR4dBrEy3/PMR3E8OZn0MDGA4xMhjenFk+muFK +/4JbYhm+mlk8juH2mR0kMhyc2V4yw+MzB5TKsPGXIWA1r8+njgxjfvp3E8OY +H2DMDzDmBxjzA4z5Acb8AGN+gDE/fV0yBKzW6fPzUqk+P0cxP0cxP0cxP0cx +P0cxP0cxP0cxP0cxP0cxP0cxP1u6+/w6qXnJFPMDjPkBxvwAY36AMT/AmB9g +zA8w5gcY89P3TYaA1T76PN052sxD/65Sff1MYv1MYv1MYv1MYv1MYv1MYv1M +Yv1MYv1s+cLn95GjzbrIeQCWKeYHGPMDjPkBxvwAY36AMT/AmJ/O1zIErPjc +5/mCow2dyXWR8wAsU8wPMOYHGPMDjPkBxvwAY346n84gybc/fvr37ynPT4cd +Gcb89O8mhjE/wOgHMOYHGPMDjPkBxvwAY36AMT/AmJ8OK7mE+Uk+J/mC3EeS +7uQ6AZYp5gcY8wOM+QHG/ABjfrpczSB7chbzk3xb8jnJF+Q+knQn5wFYppgf +YMwPMOYHGPPT9YQMsqc3YH5SDkm+Lfmc5AtyH8l1kfMALFPMDzDmBxjz0/We +DLKnB2F+Uq5KOST5tuRzki9IOpPrIucBWKaYH2DMT9fjMsieXof5ST1BylUp +hyTflnxO7htJZ3Jd5DwAyxTz0/XSDLKnp2J+Uu+ReoKUq1IOSb4t+YDcN5LO +5LrIeQCWKeZnT+/G/D6vx0m9R+oJUq5KOST5muQDct9IOpPrIueRYZMa4zvM +qTH+25waw3Pm1KjnzWlmtS1+nHbIbCiY0wmZDYVzauRHcWrMP4ZTo5yZU0OO +xXO6KbOjJE4rZvabwqkxzjROMa8s4g/5mJdeztsGRr3Pt6vwiPaAP9QH/F/9 +6v0426yDbBfpf60T6BLrhHKAUQ7rhu+A8R3riO+A9fpRon4Uf8c64ztgvX2z +aN/M30EH+A4Y30EX+A4Y33U6cWZYx2OawGeazfpIvMp1kHiVeJd4lXiXeJV4 +l3iVeJd4lXiXeJV4l3iVeJd4lXiXeAWs03+azb6yh3cdzhDrJPOduV2sj71+ +8V3uT5mvwx42+03uL8BYV8BYR/17lLCbYkR5s7A74hkG3gEDz/o402zG//+X +cUo+Kset80kHATvazddhk1ivALFPQm3W8/+0nm4fpnNqtLOFUyNx4nRSZkFP +TkGXKK/jRbWHcsa6uHE+2pGwTu+qHdQ35nHN2s8Zku0CNlq5zzBSzEfmI8U4 +MotV9uF8o1t/hg39J4RhQ9+JYBj0gfb0fF+GM5fjUyDDhh4VJsYbyfOT6wa8 +g550PnBb0J9JyAdvzsc+Ayzz5TwA63xri0054NEeXiV9YF31+anvWFcdHx5M +FxL/9tZdrgNgjPN/uy6Sfv63dPL5feNhk6/D3sxHME59Pyg8oBzqAa/6up3h +ep/fp46CXu6LfXrfRq9APZQD3nV+LtfBwy6d6PMK4H6AZ5QHrPP9UC6PdUB5 +wCiPdcF3wPiu+5Wgl0SJdY7m/vAd7QFGe7ofB3w5RtBbLLeH72gPsD7+OG7P +kGNxgu7iuD18R3uA0Z7up4CelMDt6facN39He4DRnu4XcKYrmWkSt6fbg978 +He0BlnwV+xb5gNEO6Ebua5QHjPKgG5THvtfXLUysy1NB75GC3iN53pJOAOv7 +OVrIu2ixDxQdSjoBrPNhs+BTZsEflT4t6QQw2jPwE8/tAdb3ndK/JZ0A1vdF +IrcHGO0BBn8K1eSf0oOR6vkONt91vnifU/AbXT4F2/UbgK7kd+TrfgRbPwPo +TH7X86Ps+iUA6/77GP4u/RagM/kd+dCL7fk5dD+z+q6fC8Tb9YuAjuR35EPv +tudH0c8X1HfkQ0+353cBf5Hfdb6UZtdPA/+U/K77CyXdOXD+NatcRqrzLV8b +ukKKfPAppJKOkCIffErXW6KYXsCXkEo60c9NYgTfibahC6TI1/mOLR3o50fx +zDeQynVHinzwBaRynZEi3+gnmVO5rrpfN83aj0rBf6TeK/UWI/+MkEdn/kNv +us90YU+v0/OdbewyqWehnD05CTqyJxdBN/bkIOjGntwDnUg5JuUcytuTU1KO +STkj5ZCUU1KOSDkj5ZDEt7EMSq8EbE+PlHqm1COlnfhfeqLUM/9LD5R65H/p +eVJP/C89DjDoS+ptgNGePT1OX7cYgQ+zmG+8mE8S7yuDz24R+06l2Ef6Ovoy +LFPsA6yjhGWKfYF1lbBMsU+wrhKWKfYJ1lXCMsU+0ddVwTLFPsG6Slim2CdY +RwnLFPy2XeY4Um1gmYLfgt4k/ejrf5v5MtYZ9AC5acAmwd98BX0ls9yEHqf7 +sQN4XdGOrkcFC30rlNcV9XR9KpxhPR4jWtCDmdsFrOtxZkEP8aLdeKG3xQt6 +SOJ2Aet6WqKghxRuF7CulyVzPWNcacLfnib0sDSuJ+1ArC/mY6yjI8OQd7oc +uc3zQXnAKK/Lkds8H5QHjPK6HLnN80F5wCiP+YOO9PImhqE3gL4By/r6ePxE +fIGvkFtnWO/Efvi8X8dB2FO3hR9V+Qt1eR0g5GuokFvhNufkuv8ow8Yuxzz0 +fePHsL7f3Hi/6HZLOH/X86Ns4mD084HbNnEjoA/gGfQD/ifjELA+WEd5bq+f +P2XYnEehHPifPAeX51Ofz88QdH9Y0PVhcQ6i9glgyCfQob7P/MQ+sqVLfR/4 +8fgAY//r6xsj+LS7Nf+pDR/W7cZw7h+wzs/CuX+dj6cJOnW3tmPLxyFPQUe6 +HhLF/QFGf/r5Zpo4/7zP7drDgz05gXWU6yDxYk9u6PgwC3zY0o3Es44XRe+6 +Pphmd10k3qTcAf2jXUlHcl0l3uU8pZySdCjpQq6bxJN+rmwr16Qdp/Pf+zZ6 +p9Qrpd4o9TajfrqNXYp88AfdLkhmGPjV9ag0YR+m2znn+3/frm5HZwh5c1ic +B9y2m6+fv8hzqWAbeaTbk8qOwvrpdk6KkHdpNviw169uv9j2+1/9GKmy6yGn +pVyW51moZ9CTixVPD63zi2A+h9SoHy7yIxk22osUdHtb6NvqHAjyHngBnSPV +8x/yOI1+UO+xtV0/hv+345Tz0+cdINrzZxj7ELDRXgjDxjoGM4x9qsPKv2Hw +6Sgeh96u/XkCT1LPwnej3UCGjTSIYfARqZfhu7FfQ8W41HmEkUbzuhjf5TkW +4le3iPPFwwwb/f/Fqe4X8WW+hvFCroLvYRxSbwOsnz+ZeVxSLwMMPiX1Mv0c +KV3YH8E8Pl3vVH576VeVclq33239oFLu6fZ1Co9PlzMqRb6+v/73dCLpQi8f +aUO//1/tI/Sjn4e72+wj6R/T/fXHre1e4XUCXnR/pS+vk76uUcI/braj70k9 +QMUnYx/oepQD14edpcf129q1mJfub4210RPBH9A/voP+AaM9wLArAEMOA9b7 +CRX8TflRgMfM4hY7QddXgm3ui6C87lcIF/ZVOI8XMMarxxdmCPkabGMHynsB +WGf0B1j3U0Zxf7q+nsEw8C7tIjlPaWfK+x5S35brKPEk5yHj4tGeji+zjV0I +OpT6ucSLtHtlXLpO1xk2dqBcR4lnOW5pR9ujW0kXct0kHtCetMPt7QNJZ5IO +JF4lHqSdr+en8T7Huuv61RnORznYweCDsFN1Phkj9qWZYd3+N3F9pLArwO9Q +Du1if3/eDrbtF+XRrhwHvkt/svQXw54w5MojTq9n/ucJp2gPeoqxnt78Hfko +B30SKfiWbqdG8HcDD2ZOdXzhPFN9N/Z5GqfQZ4xxKT+lPh6z8LfE28Qh/G/r +Yd7GuFS8BfCK74Z88eEU+VIOo18jdRZ04s50gHGAz0k60OVEnA0d6Ouo4vqQ +Srsa+wWwvm9MNnqA1EMh/8HPpV4g9VTdfx9qozdIPdYYdiTPD3xB95ek2MQd +QK8wxqnsZXkuIs+zZb7uFzgj8Oog8BnA89T1xyCely7vlJ0AujHGl8z8CvtH +j5eLZr6DdnS/W4x1/HG8n3Q9Hv4m4FPxDd1/hPN+xUdknAbygzL7gb8phVOj +v1SeH9oDrPP5+yxXgV/QrZFcsa7DXhE3E8p4Ad1gP+l0pfRRzEOPm0jm/Y95 +6fFXaSJuAn6tRKYz/bzBSfgnnYTeec2G/+h6J+LnEm3oTreTQwUfUfexAdvj +K/J+qU7nFznFPjXG5ccw+IS9fMDoTz9/D2Z6xP4BbKDHX9ipwcJPGMAwykv+ +DDwC/6An8GHA2IegL13OXBP2/TUub4zrpk2cv+wH7aIe2rHXD9pFefBBKc+Q +D7mO/Y96xjiWCniLaPcKrzvGo8sFZ7YPUQ90Ya8f0Cva0/mkM/s1UN6YzwMx +LttxAJbjsNcPYNkP5q23kyULYNAp8Az+q8vjJKG3JdqcO0JvwP7U5doVYXf7 +sfyAfJXyF3SPfHmOLuWvPD//fNwE/PaRLG/08/tIYddHCT77lPmkjIPQ+W68 +0ANtz9Wln0Ces0u/lX5fHX4dJc91fUDJJ+AT6wUY62kvX18HE6fGOvvZzcd6 +gE8BxnpCX5B6A2Ddjkxk+Q39VLf7kll+Ax+6vuXGcsGe3MD64jvGDbwABl6M +NIDnDb8WYOiNqAcY8zfSEJ4v/Fw6XuJt9BhdL0xgvMg4ms/rjUrPkXE00A/0 +c7QU1nOwf3W+F8j4AQz8YB7AB9YXMPAN/Oh+3ABeH7Sj21XK/4by2Lc6X4gS +44oUdly8sM+SeJ8C1v0zibwP9Tg0FS8C/QfzQj3AWFfJR2FPQf8B35ftYj/q +53q+Is5OnZvo9/V8RTyhL+NNxpEAlvwc6y/jUPTxKr+Ujtd4nq/uR0q0icPW +y6m4a8Aor9v/CUzn4A96fFiyDT8E3rAeevyiD7cLeQi86nGWvjZ+DenHkP1A +nmEeOt2q+wqQ88A79B4DdmA9APsT36XcNr57M36wroD1c8KlNueIaFfqH6BP +vd8HXA7yHvwK/Bt4Bb1LPoZxgZ9j/YzvyTZ8DPSly414m3Z1uZFo047u71P8 +D+ss+ZauX/jZ+LP1c5xg3he6vqLi1kHPMo4d4wc963hKEXJCyoEU4Y+L5/lA +7wG9Y53wXY9f8xX2i0mUv83tgS50vcpJyFmTsDdNvG6g5yyf/bsv+P5jofc9 +5nXU4xAybM5J0S/q6/NW8gf8D/xUx+dTEScWZqNHw18h3+WB/AA9yXdOdH6Q +IfhhnI39iv0HfgR8GeVjeZ2lnEKqy5kz3A/oyp5fIyyzvJd1fyVZ6dtF8DF5 +Pq/O9WRclW5Xq/NEe+2g3P99Ow48LtAnYKM9V+u814l4HxOXAz8DDLsO64Z1 +B1/R7fIrLB+hhxjtRfI+hV4P+oW80uO7AnnfyRT8FOsjU/BP6bfS8aLiO43x +XbPBm64XqXMlXZ+S5+pJNueUcp729i3oHrCuR23hfYTxGin8jeo8Hvmoh3Yg +D+U5AfL1+R9mGHzPXj5g8HGdHh7b5WNGv9gX6l6Wbq+q8wOUQz3Jx8BvIZ9k +HJ6MowPfwLyQIl+e88hzHHlug9RePdCLpFfQBcrbO8fR5W64sMvNXF6/dxDD +/FCPF4oU+0ruoxTmA+C32JegM/B70Nvn7TZpl6l9AH5q7IckwT+2MB4hbzAu +6b/V/bUPed7Gd8Q7KT+HXC/k6/JB+SuBH50/qnsUMl/yW6PcNDt+LuXH0veV +bTnwPaNdb7Zr5Lkd8nW9y/aeIfYP+D9S5GOddX4cxngFflAP9r/k3/p5prz/ +ouxxnX+ZxLmSsodRTo+bNTPeQK9oB+eW0o+M8Ul9XL8HqfYP6BXl9PVdanMu +gHrge+BPgKEnYT5YZ2l/Yx31dwLjbfRk/Zxfvbco8QI9Sp5r6/b5U56Prt/F +Mwz86/f179u8vwn+p++nOBGXos5x5HfdjlZxbnr8R4TgsyoeGHzCwGu6OH9W +8cHy3gz87sa4H/G6QF5iX2E/Sjmr6/nqPZnPtxPP4zLWIZ37BV8zxuvMsH5O +7cn+HvSn+5PUuSP0eV2+xgs5q2B57oh+pJ8D+rPU03S7WN4vT7HR26RdDD+v +fq6L+BZfTo36gSKNYTll4O22wD/8wp6s5xp4jhX38+LFObM6r5J8ST8XVnQL +fOnfQ23knLRbdL95KK8byss4FVle98eHif2jxqnjXd1X0P1cacJeThf0Eyr8 +imE2/B79oF0p14Fn/b0W237191dsz23B/65Z5TL4H/QMwDiXQznUQz7KYV9i +n2J/gl8Y44Me4Mh83p4c0OPmVRyLHleo6Neor+xszFfuL93fZRu3o8fj2sbp +yPhbXY6r9QPeZVyPPT4LutTfTTDzfLB/Klv1F8DS7wA86XGAUi7IOL0ooRfb +xrXq+obaL8Az8qU/TsYNyH1iz8+BFHjS9ZbjNu8Qga+DH+M75o3v8AeCj0n5 +BBipLAf+jn7RD+hEjkOHE8S4bccFGPvMSLfw/A14KcPGft4r4p4cOV/HW4BN +fJJ+nhnI+wHrq+szKj5I8gk9TiRBvJ+BuEn4G1KFvqXeVZbrIOND5Hvf2A/g +E0Z+pOAb6r4C+gU/Msop2GjvPs8P9Qx8XuZyBn+7yjDiznX/WpQYlwPTr34u +HC/scfhNwLcUbOBJ8Rv4p4FfI1/BGzP7VfiGHxD0oOvDAayXAIbegvIYL+Sv +vh4BQj+KF/G68cKPL+OCE8V5o62eCPrS8XmN9XasG2CU0/ePA+sR2C/yXEyP +ZzSJc8pYwSdjRbvxbFfocvmMDb50fVH50aSfC3oq6EmeKwDGOulxBbZxR7p9 +aBtnpN+TDBZ+jwAht4IZxnfp9zbKRXMKOsR3Xc+JYViPA0zj74D133OwPYeT +dqpO/+odDH28Sq9AefBL/b5qAMNYT/1cS50jS7tQyl17eAYM+tPj9GzxpJ+f +RnF5e+sEGO0beEy3i2fA+vknyodzauwLM6eQjzIF3Rp0r8rLOGkDTuNUl9tK +7ur3CbyZr+hyOpH9FQZfTWI9A/sOfMFox4ntSgNPtnYn+LpRz51h/R7nKfaL +6PzJXcQd4n3UczZ+FJQHjPLGeNaJ8jiX8bHbj843Xblfo/w0ztfbecJ8Sspp +/R6hOi/S4zrVfWDUs1cOsM4fIxjW9fUo1uPtldPtQFVP98/GCX1Z+af18w3b +cvo7OLb1dL1c+QWknwDyHvSp+w/kO3UpfO5mpCm8L7H/Aet8PZ3r2ysHGOVQ +T5fb8Aeqc3PplzDW088mBd826EH5K5CPcshHOYPugmxS8GmDThGHrvzyKId8 +lNPj89Q9F/hJoLfIFPz7Q2b5JPbX6/dRkjkf5SB/QKeA9XOeGKZTyCX9/CZG +0HWMsGMTmU51/4qZ6Um3M5OZfvV1jed11fW4VC6vv88Uz/4MlIfdoJ83qXcQ +wH8xLtCdvG+r6y3povwZ1v+AF9CRPGeXeqyM08L8AWO8ennlR5J2MvCu+62U +H0ja0cCjXj+Jy2N80m/0+fOfUB4/vmN9dD9BGpfH/PR7r+kMY//Anyf1JPSn ++6mVniDfsZL3FDB+PS42mfGq6zHqPi3Koz/9vCPdZl2kv0/qYzqeYwW9qXvj +8hxC0g3wqs8rzO66oH/9e6zg12a7eNH9lCk2dIvx6HgLs7vuch31cwuFZ3t4 +t3cOCdhIld/RSG3jbAEb5e3H3aKcjLOV525Gvm3crdQbpJwHf8L8DD7jJPRB +9U4r/OXwkwJGOf08S/lX8d1ePdku2jHq496nC8/TwJc7w0Y7eC9TxQsY8wlh +GPqY7h9Q7yQCNlIH1kfBf41yexnGOmCd9Xv8Jh4f1hXrAhjrgnXW5Sb8ErZ+ +LMC6HRrO8hb5ut1mZn825J49PAIG3uzh1ah/mPEh48RkXBzin3U6DxewnE+s +4MfqnAr7TpfjKm5ZP/e5L/bzbdYvDPgh8wOdz8TZ+IUAQ74Bht4PWPJR+I0A +6/d6/Vn/BIx9CVjXm+S98SgbvqufD0fZ8EH9/onyB0AOApbyTb7boJ/bXGO8 +AdbX5bCNnqDf/wiziSPUf+8vTNyfV/fl8V2/D6/uv6Nf/ffnwtg+1uklQ/il +pF4QI+xxed9b+b1BJzJOSr9/7Gk3X8YjGnh8IuxhL+Hnf8yw/i6RN9cz8Aq8 +q3czjXX1ZRj7F/q7jI8w1i+R+aWUf5Iv6vLMPp9EfdAh6gNGeV0OqnsZyAcf +xT6S9zJk3Im9exq6HRLFfEfnq2mCvzrYxFPp/k2MG/ZeNKd6fL7yMxrtKNiY +l+L7up9O2WnwQ8s4cP2cz9bPDhjrrd/3vSjOaxwYNtLL1nIHGTbmu0PMS70T +ouvRys+O8ep+BuVnxzoABr0b401kfoRxQm5JP7sxzjOsl8n4cfkenz0+b28f +AsY+NMblLfa1up8CfOp+sb3sx9Lx6SrwvdduOyiHekYayfMEjH1n9BMpzrdd +WW8y5v+I8WiUd2YYehzoQJ47GeWOcrvGvrlk4y/Uvz+wuaeBfu2dg+mw6sdo +X84vWsgB5dfDPDBuwPCL6vxN3g8MFXwlivUa/V6/+r0FnDNiPxrjVX4knf+p +fJQDnwHf0eNoEWcO/UzBxrw8hP7mznwFfEb3x6t3kTBv0BP2CWDgB/jX+Xmk +sGuihL9C3ZfT+R/mJ2HlH5J6BPY79AT4KyHf4I808lPs6rm6fPkvvddbnIvG +2+hVgKVepb+rFGyjt2FddTtZravxXenJ+v6JZT6g48fEsH4eHcv6nX6v+rD4 +PeenzBcBg7709zRty4Gu5fnY5+P1YwS+ohmW7xSCXxh4c2F+gnwJox7y7dWD +vYYU+0GPz0nnFPscsDFfJ15/tK/b1+qdAZRDPeTbqwe5j3WFHwZ0rd9P8Gb7 +At/1uHr1u3lo1147sh/Zju63l79bZWL+C1i/V+En7jmod0nBN/TxBnB5wHp8 +pT9/ByzfgcU47Y1LjluOCzD2I+xV7Ef4R5AvYdRDvr16oC/db5rGfm3A8n1t +4M0eniQeJZ6kPwv7GPX0+QcIvuMvzkvU71XovyMIuYN3FoMYBj+EXYHvgPEd +KcYHuYH+AaN/nKPr9yzkOptYr9PfS420OZfQz+tszxWMeld4XfXfWUpnfVja +I4D13/NxFn5ON4bBj2EHozz60fXQdC6Pcrr9bdsuYJTX7W/bdgGDf+rvKkew +nJDvHCNf2m8yH/0gH+3q41X3XzFO0A/kLGDU0+VLgJDH6neFdLvQjftBedCr +Ps4g1kd1+Wp7D1nSme43ShbxS+r8D+PGuDBOe/PAuOyN2x6edDzi9+rwXsxx +ts8AG+VUXBJgGZdkTw8BrMe5qN9Hwf7U5xMpzrOVXQq86efX6twP+xJ845pV +HwG/AKz7J231LshL3b705vXT5Wcyt6vfc1BxxnqcN87949ifBRj+O53O5D10 +BetxWv48HvAt6CN6/L16FyiL9od4kqW8zoCxXsAL1ku334IYf/p9mhgR7x8j +zh/V78MY48M9r0ChVwYwDPkFvGE+8jwZ5WXcO/wbejxuGpcHrL93psp/Pm4s +ivUPwMCH/o5qMPeDeep+2GCeB77r9lMw4w/fdTkQbHPvS+f7wczndTn82CaO +EfayTo8xPD7QPWDgRedrCsZ33U8cw+NFeYwX3zFefDfG6yT84w9ZT8D49Tg0 +E/uXsT8BAw/6uYe6Z4d29HsR0SwXgFesk96e2gf6u4vR/B31gRed/lXcoq5X +RNvQLfgJ/M2Ii5N2gm7/xYvzOvv3rPTzPG+214Fv6XeHXJRxXfo7yRG8XyD/ +9XjwOMHvzNyOHi+s4qDgh4S9D3rSfy8infVxY7x+Qj+G3eAr5BX0XfC7IJ63 +wb7U+SL0UP1cOJTtbPgr9PdmIN+SOd5Hj6dXv9eh+yNCeXy6/hXEclbqxbpf +KpLb0ePKYxjW/SDg17GMX/330hAHpvg++gUM/oJ9CD+SvbgmwPJ3SvS4J7PA +d7zwj8WL+D71Dri8dyftAdh39tZVp2e1zrp+quwA4E1/B+Yxp/o637TxPwA2 +1s+d+QbwBPyC3wG/Ov+D3w54VfdEMV/oJYBBd/q4g8R8w7kf4Etfd+VHQ7v6 +/VLlhwM+wJcMPubJ5yTIRznwJ5QDX9HXJUbIOSUndP1WvWMDea6f8/swf9TP +K+Tv2KoU37FORruHeR2N+Ry08hP1Oy4Yj1Evksdr1FvK+p0BT2P/O2CDPly4 +PvABPqrv54usr4M/Ag/QN8EHwPcA63589Y6D3g/kh8KzHidk4vEY43Bgvd8o +f8Ym7g70jPHq5/EPhd/WReDD1i8p9WjQJfgB1gvjA2zM95Kd9bvNsFHeUYzb +yW45fT87cT2jvwecSr+WbofKd6sShdxR94XxXdpd8JtCfoKv6fI0yOY9R8Dg +q9Ab9d+3ThDnp+p9KHkfXu4f7Gush67/XRP3NcCPngq7WPmL9N+LTGA8YJ/r +405iOwH96vaD8pPr8YHyfrGKHwa/1uOJo3hdPv9+ozrP+vx7jWodYfnJOC3d +vrkt9PL7duW4Hlcs+YBZ8FMz73Oshy6PQsV8QxkPGBf4gB7PdpHXGzD6BR4A +678f7CfwZav3fD7uV703AHmo30d4KvTfpzbvZOjv56vf/wSe9dTJ5p066Lvg +p3qc9lMbvUiPB4/jfMwD8lIfZ4SNPx76ie6PDhf+aHVPQr+3Jd+RixfyzCT0 +SfUuFuSJ/v57jNB7YoRcl/e+5e+9K/8K9j/wg30F+ab7/eKF/MY71sdZLoNO +dTkdIN41CuR5gl9KWNdzgljvAIz2IJ8xH8D6eHGOa+b2QSeA9Tj1QC4PeQk6 +gnzE+oJOdfgK670GPi4L+aj0eN2vp+JPpDyA3IF8BKz3n8b1dH/ZTV4nXa8+ +w/qDfp7mx/xf7gv5Oxa6HJXv36j3FbGPdTpOFH5iZQfL91jk+9TAI2Bdn4rk +9QA+QM/6O9HxjBcDH3sFPW9h+kV/+rm/mekBdh1g0Iv+HkaS0HeChb4TzOsJ +usT8pNzU5Ye6F637j23zMR7dr69gKYf1+Fmz0MdjxbqpddfvYal8nY8n2IwT +8wUfA6zfq4zk8aFdSXe6/qbeF0N9o111fg89CuuGdTfWC+cJocwnZVypjCOV +caMyLhQw+B7oV8aZ6v5M9b6RfJdCxgHLOF0ZB4x28V3vJ4r5fIsmb04H33xK +A6oMqTcuyl3481HOmVPdDrvFKfKhr+nvzKXYvFdnr5xOH4hT8GX7F34swEb/ +eAdEvrOJuLYALm+M059h9CftcXv9GuO9y6mB3zS+b4j29HiUSIF30OdjhvVz +8kimS/Rvbx7Ix3iRD9joB/oo5J6KI0WK8pAf4H/6+JVdIX+nR/dvqHflAOvv +j0QyXwGsv7ui5BLsJ12vTGX8If4AMPx1gPW4GHmfw7YflPt/2g/805Le9biZ +SNYfjPomQc9+Yp3hL8S9C/W+3ojYZTWLVIok/0oNX0RcdON8Y/yqntE/5Kui +I+O76g/8Q+8/mO9xgH4A6/vI/jwMevblesb8AxkGHQI2xhXEsNFeEO87o787 +nCIf/ej7+P+8n8/P77/xhnr28Ga0Yxv3CViP3ztjo5dDXzL6vybe01G/S2iU +38JyB/Yu5Ihu16lzI8gJzMfoR8VlSrkCOQq5Cjkr+YF+Tz5SnBM+FXRrtpE/ +RrlHnOpySd1rMNpRcdH24nKlnxT8TY8bDWe/LM4vjHx1/8HAp4KNcdu+UwNY +n6f6faZrVn0L+DPwjPcJ/IVeB3/fdZs4buTrchryxpv3C75j38jyGBf0Mv3d +RynvlPzBvtDlSSjvO+wLwKB7o99pDBvpOt6/evtBzG+wX3VYxWGAPyYX2jN3 +clCYiHOIZbzq+FfvisUP/LtP6Ury93zRvh+3/9XA2n/eGCffXfIU8jBGyD8l +X6V+LPVb7G9dj1C/k6b/DuAlTqFHwF8D+jP6x+9imng/y3ebjPJK7iFFvtF+ +JNu/8H+B7yEFPoEfo77CM8rpcdDunK/f/3FnvgE+psdpPOV2sM/QD/w4gCFP +dXqMFPlmYS+p3yUyxoU4CjOPT48/juTzWsBGP+lsd2OdIKfRDvIxbuRjfFh/ +ST+w93V6SmMYfBz96/gK5/axL2TcNviDfr8n2eZdQiPF+7WSjyh9GPgCjHGB +TvTfm1DrY7Qr10utj1FPrQ/8ioBh9+n8KZxhjAfywMBPHNcHf9DjOYFfP0Hv +ij9h3+mwus8Avq/XDxBwiBhfsMBnqIDNor7id7q8jbRZH6ynzl+jmS/pcTTK +HgMMfRfrB36hn4+7C73CmceF9vT3kF3EfTcnHpfR/iOG0R7mhfqAMT6DXqJ4 +fBiXbu84cb/2+gGsr28kt6ef+z9l+jXoPkzoqfKd+QfsjzLadbSBjfZw7vGQ +1w+w7mdWv0sLvNjDO/CE7/o6ynMfxX/09xuibPgR5Im0W3R+Cr6t6Efny5A/ +alxYH+ADeo5+fq3aA6zHS0ayfwXzRHmdX6t3R9Gvfv/IjfVxnQ+qcYFfGvOw +fWca+i/4KehBxqVIfmOsuy/LN6OcifWXhY1j8m2rEMjwoUUzvwu/rH5vwah3 +W7R/TcgTdZ4GOpTnNDp/jxX8S44/VvAfxb+AR5SX+w3rAFj3LzpzPdC33o8b +w/b4GGC5b+zxFcDAP+hZ57fqXX79vDHcBp+gC/SHethf+r7FObsr73/gS/JN +yGHIX9BDvaN3HbN+COfxG+ttEvzbmekE6424A6wv6ASw5Kt6HL4Tp7If/f1W +Fx43+gN9Adb3hxP757BPUf/OsUG93W4+ZbkGeHlmRYtdlj/Hg/cWeId1PaZO +rJb5/apVPgMOsspflEd/gDdZ6RFwZSs9A76cWT2OYUN/TKQfy5TY0/LOUyo0 +eK7zsQcP6N1S99mbbjylcxnH6nzcGsCw3/dNe7WvGsrlvefHZ99wM47h4Qe/ +2+GQTbX32mlu9cDOyQyvTHS89W5bKsPlCubvWj4indt3HN3Opcs4C7/qmJKp +/xjY8qa31u9/59yeXn6qF+OD/QdTDH2J49ys9UG3qL/0bimn65Z89Ofqm3dF +SJYoUT6YspQvntl+RSsdoX3QFernWNBo9eT23jyf6yeHb9ixUc23q+fp8reD +Url8y6Lp9yuGB1G9xgNO/OsfT6wy7e2//jW0b9BdII/HWD8/Hv++QwtLbdtk +4vYqPB60L7iTH31nba/kII9D/9qL+O7xMxXo1EHNv7azy9kbwX7c//ImS7/8 +lz8Drp2ZKtiz/dg7G2p6cv2fv/zFJ+uEYP5+avHXDf/l5+i/56Jkj4pdwnj8 +0AcwniIxI/uGTYhmuP+bnsU/WeQRysMuQn/Hc59LyHItlssnltl3qtJWM8Pz +W5mbdQiL5/Jf/FbnyYQqSbTMus4ny145nD3IkeFD06cc39DFmWKfvXB4WiGS +mj57Mzc4fQrDM7efelv1h0sUP6pX7Ux59TFgZ9tdrjw+7Dd8X9Lp9vrsbz0o +wQq7WvGF70Un5yhXvfUTXt+ITHx40HLreF7s9qm3NcTM42tc+9W8KhY7ADDm +B3hxZprAsHvm+iYynF/Mv1gmvpN4PHNcF2SMj/Dm8fq4He9ftV0QwwXOm38e +dDWS6x/LxH8Kj7dJ5vjSGB48c/WBSZuTufyfa2cP2zwpheG0zPmlMlzvwv3n +V6+nMT4Nek/n8a3OpMenPJ6oIw2HtN8ewd/PZtKbL8Oj0tKTOm00MfxFqvPS +TdV8Gd/bKhv2ENpreWywc9YP/gzvKvRV0atTFPxrZnshDN/75fD3H7MpuP7r +2TOPtTdzfwa+Yvn70G99yizKqr73afnFnrTgKIaXzxrZynWrgg+Y6sQs/hjN +8Nw1++42maBgrzyr1/5yQ8HNY39802hyJPOXXZcTalTsf5nxe9tx56033W8x +/PZ06/cz1t3h/WGsVwy3F5eZxjL89d6zvilhMVz+iHX/YL+dsO4f7PfmmfgM +Z35gtq6X9/vTZ/+FnYu/bLPuu0tcH+1C/oA/g59z3K/2PZjhIKv+DHicVX8G +DHrC+PZnrm84t98psz0f5u+G/uMu5KUflwf9oD2nTHpQ/Ldg5n6L5vLg34Dh +r0P9RVZ+gf7BD9A/+CVgjp/S5H089w9+ocv/JMYz+APGA3mK/XfFqvdg/X/J +WmPMrdEuTM+DJzh0uzzdS+xfxZ+cMuVnIvODnpn8PJn3H9YT+l5P63mw3n8c +w9BH0L9vJn/yZnxBf0X7Ha3rifIzM/lbEH/nOCuNf8czDHxlf7vgQFbWN7Jk +AbzCqp8Bf6wPa/I5kvFn7P8oXg/Yp8BPXKb8ShX6mOKnczP5fTrPF/6f5tbz +9Dirv1nHn+KPtax0BnwfK3yhxP+k/zCrvQZ89ciU14reDb3Vn9sHjPLRmfs7 +gOFXhb9fMDnIj/ENfRXj53vL1u+AMb4mmfNS+8VYjxCxPiE8v9yZ/D2U+zf0 +nWDRfij3Dz8tvgNG/4MWr/X6V1/R+Y/i30sz+bVZ6JtRQl9R/Pz4vZe/Fqqq ++HW9THmh+BvsR4w/o0epC0c6KX6MFO2zf0NbbyU/wQ8BMz+0zhf2ub4ffHj+ +ngNbtfiXn4EeYWdhf58uUe5y9G+XeX/gO+h1Wc2IJW1vPeD+t1vtF/Cng5n6 +QCzPn+Nhtf2o5t8sU74pefqw9IPc7ptiBD8xM8z2jRUGfgHDHtL3r5PYv078 +HfsJ9AN7VW8vQthnznRjxs0HWb6z/T3dql1HxbpOUb8PQqEeU9+vUb9D2WJK +vOuWRep++9mgkQffzFbfX9Wr+PrnNSb2M7j0HZBz+ZeBdP5Yvf55R6vfyw3r +UbL0lVImhnEO6jTm0cZG/yO+6GP2GVmajlPxRYdyvSk99kcVX/Su3IWkRgXD +KOQdfRN1TJ3TPUn85kCFpuq+xtG00AP1bwewv+Scd93zw8tEMzy/n6n8guEB +fD7bv864Lt2yq9/NwXiGX/b/6JpXvYtXcPmFlaVC1H2pX03nRpnOxVL28bci +b2UJ4HkN/GNA6xkpKp4J5S+dahgbNjqezAed8q0LVPFNax6eSO/jpOKZxuZd +/oOj4yVOt2bOK46yZx78nKGsme3F0hdWv0LRf45UGrUslvZ4frxy5K8A6hYw +olCLI3GU+GPS+PzjA2jzqvmXS91PoE7916xbWDiA6j5yHXGvrIn2Hlzkvcf/ +KTWsuPGnvy34Qzqw3Yn3u0fHkluFIeNmlo2mWrfftLm4K45yT/ut/Ohc0VRz ++P6H4e4JNOPFg/xT0qPI+ffwhD8/JdHCpBsH8odGUaUOU0++b5RKHTdn92zr +GkVThlx/5jIxnbIuy7I8xcKPME6MG/2gX8wT8y629tj+L8cFUOz8lqfvHo6j +iqsztp/IGU3tfJbeytgZx+PAuDAOjAvjwLgwDozrWPaxpedsdeZ05scKD+pv +M3Pq1j9m37T1ZvpyyNof20SZqX/VRxR4L43TfyblWZSeLZ2mTziflnw5jVPk +O9fd8X6EWzxNPuib64eJ3tSm9tkjrg2SyKfs+rabTntRuTonD8SNSqJHwcvc +X2/y4nKol7fXio9NLeV6zk3ycbDUe2gth3rQQ4fXSH1wJZf6PWXT5rlvur90 +53yUQ770s/mnF9s8rrAL5fxphdOYMFead7jbxKDcmzhFvt+R9hvLtnAnx+V5 +i1TtEkl+w17l7RbjRi53nL9+88ACnx2Q0e6hJ71/O/ML15o+NLtj4/j48a60 +a+uVXgXWnaQk1wEtajb3pT8+bajn2MuTprkHbK9zxpd+uhL7JrmZJ/Op93/4 +eH1f2I3bQbs4F02Z3sZ57kMP3vfuVn63Q/g9x1jlYD+rvod9WXfvIueGJb15 +HBgXxoFx+e4btsb9Bw9xTqv6yXuz64NuL3AurX4vF/kTK90Ompv9Hqe54nzK +3Juufg9g7p5iz941SqKia+sfql4kgb62pvOs+Rhv/QyP+hcaJVDX6LUPv56Y +Qr+u+/lF/0lJ5BAd7HrDOY3K3d3UeNuCFIr+o1CXv1+n0avqgzY6zrTI5zxb +Zi6z5IfWDs190lnloxz4zua9v0xefCqFNq7KsTGCfDn98fsf1rw84ktzGh76 +dk4TlSJ/9w+P+neOCOS00pihS19VCaLQnQcX5A0J5BT5sCN2dzOVLVAzmlPk +A8/Au77OIdTVuo7jres6Nz28tVNuL3V/O9Kt2+1cITTxzuI7O/4KpPUfQm5X +6JHAaUiRvEc7XkziFPviQ/feXf/5y8R2zcWKf7hHfxlNJbeMCXo1PIVedgi4 +fM4rnp4vfB9CXilUx317x7wP4yl38ILtp8+nUdTG5CnDyyRR6aL+29sXS6da +C7pf7lQwiffXU+v8jlth/R7jGXKn6Tma9nSggTMvvsxeAu/4OfA+3bF5SfkV +PU2s51S3yrOYHb+6Pduqfl/7WMl5ZcImq99jXN+26f4AN/V72wNnL4xI65zC +cik8s148RRsKB3W26jHu1vOOYSdf73Irl0Kn17o06zDbn757V6PF6pNpVLfO +y+Jfv/Gj3zctrfhiqzuZs/TY2r2DRa/6ITzXodZm8tud/eBv3mGUkvefAmvq +xdH4hfW/XfwgjHpNunV20/x4Knqjlsv7c2E0oWKt4iP+SKCNO4ZR8X1hNOP1 +kqiKGWEU0abX9l++iKGvZ1864BMTRrnGTnFsFhjD7aIftIt+MA/MC/2gX/SD +fsvuWXX00qQ0GlP7bGrrrfE0N3p04TUj0qn5uulHY+fEU1K9nKOf1DFTwfk7 +1xV/kMh4AF7CY3O/7Gqhi6x19pTcaaGTula6eGalE+AJeEM/6Bf9oN9spxeu +KGyho2ovvjo90EJXoKMyVrpyau68qUqe+/Tt3922V/S4RmOWjR4wINd9WjHj +9NjyCdc4H+WQj3LnM/YHd8zqS3sOrZzcoVIAbbnVfeKhwr5U+emuT48G+lPr +EZ07FbgaSF0dP7Qvvi2E1g8f2jLYso/Krjxp+mDZVz/ldNn5Talw8qvxVc2f +Riq7vUSkt2u3rE+o3MYRs6/+kEreT85XHfPlE1q/pbUvNUujQVsPTu2wyJMa +Hi140GVgGj0NO9i4+wRP6lvHqVQ9h3Ra+WHQlOdHH1ONas19/v4hnU7ty2jj +m/yY20U/aBf9oF30g3bRD9pFP2gX/ZjLnzh8YYerDf9GPuycmflf910w/gmn +yB8XcmxFbi9nm/Mb5Hf7/YtHtVZG0Jd+Hq/rP3SnwjlafZWjlTtNK+MytUz7 +SBqZ+sWqgg5utOTd6e8bWOzzst0GZt099564J3eb85vn6HKz1yrEm5ro9Dd7 +aWgbP5q73PVI7tKe1KHqPN+/LO1OqFVg55rW7jRy0N3xxZ9HUtjYv+4uSHPj +cWBc30z6tPRjrwD6Iexjzg8nHpPLr/V2lX/hR9UOz1lZ++VjtrNrH/jwbJX7 +Y9rTr+ybvzpH0eYT+XK2euDG/WIcWbbt7bpjokXfGPR88uCBgfTo4rMQGvWY +vsj+4+LbywPpTr+CfXOUekxBrfzWjX8SRL82Guy5uf5janvv9ZyJI4Jo4cEr +v57IreLOKnbosbZFohfHT1+rPO7V694Wu+f6Blo7N5CO9flmyj2Lvr2zxdAa +hT6G0eICyUsuXUmg430XHH/bTt1LWl27z4uSlVXK5zHWcWLcGCfGjXFi3Bgn +xo1xtm5TN2VlWXfGI/AKPAKvwCPwGnXUpeSi5W6U1rfrgj+aR1EXq3yT92M2 +T7zeKU+ecPYTDXTqEvmkn9Ijoq10e8sKg44hz25Z5Un2zH1kGz/7dSbk1Bx2 +kqGHKzkDOgyxI8c2H3J46GcOYDn0OmbmtLO71L2Nh5fNPefUUPc0yg9b0GPr +RT+m41krTrasUTKCzuw+cmB+TxV/u2FoQOnz/4SJ+8MZlPosreJ6BxWPe3vt +87ylrqpxYFz+XoFXs4Wo99ghV6cKvABPWwQen8ybHHzkunp/HXgC3l6UiW7v +3ly9+/RVisvvzinq9w/NAyofLntSvaf+eNGQxjlI3T+GnIbcPlP2r+OT0mx/ +D7W+a9Sk31alUaMP44bciL7P4/Ro33b+tAsWvr6zf1rKhZOcj3KQy5DTwMv6 +5LwOa8f4cIr8BRVSYxp09aFRN/bWv5AcQzl79+/s4e1Nk3KOLNKqXBxlSRvZ +2/2WN12ZdWp9noVxNMLhTduyXSNoVo6Z23eVD6cTb+/vH9w2goaO2dfbo3w4 +x0W/98vZL89SMy31XBH1Tck4GrL8xR2/lWYq1Htq21VHo2nboze1hm7xocWJ +SZUK54mh8DWtK4Uu8KH+U08U+LaEmcb+XNPkks+Hxpz+3XVMlXgaOfenSq+2 +enM9tIN6aAf10A7qoZ15H9ds6tjbi+9jYN7AA+hmcI0yNUvV8KF1TYfujDuu +4gGBF+AJeAGevj29+3advA/o7cxik/ds2cMp8qF3Qg89dqnA93/HmMjt7YHB +LWYFMp8D32s9Z/eD5vsCafSDWnEr6oRRwO3s7W9vCKQuf2wI/yN7OPNB8EXz +mWJPOxYOp4fFf3bp0FPFRTar9Fdxt80pnCIfdAS6wn5Z1yc26d3P9ykpV5+T +6yp70dY3Sx8FN06m8xeiqnT5wYvcso48F5I/mQrcONnWec5TKro5MWJpyXCa +XvRLxyz11HsZHbo2yNbmTwt+bhe8eWmumRqeXPbDyWVx5Nrv90f9fle/oxbo +22PWmQ4JFLmicXJkXAL9mj9t8KUWCZTrh46ltpoSKDrj2suOLRMouVHViMV1 +k8klZevNJvuTOO40fH+OfzY9SKFKfefU+a5rKn3KH5c3/lYKze3VsvC50V60 +Zen4d/2vJtGOn59+2rAF8dhb6Kc2axfuOR1N+fc13J7+Ioy2tzx34mHVWOrp +njLd+2kY7fPKWafBmFT67u9u9/tdiqdZl4P2N7mYTrmCKnw36J9Eajb0Qb+f +Bqt3oEEnoJvne/qNbXtM/p6tAzVok7OTW4ayA2AXgP9X7T+ybvMoH06Rf71e +nSNf1Fe/+1mt2t2YlxUCqO2RDYm3ByVQUEBKtame/sxn1swvPWL0ZX9y/KvA +pcvBSdTtxx6/nnew6H3NCzZbHp5E+bf98+p2oAvHO63Z07jP1rsuNNhl84sb +h25wPsohH+Uu/lq/4uU3LrTy69djLiy7QmNK5f/p6SsX6vn1vINrj16hR5uy +bb3/6Cg1b/Kqw/gVrvS6ZpOMhFEXaf720nNm1HfleJm8ZVZOz9XHhZ7+UOz1 +pLt36MaFC05uy1y4HOqhHOqhX4wD/WIckCMv/tjrMuCYeq8cekaNdnmdpj1T +75HfXdD+9esT6h3wfBnty7b2iqQXOz4Ub5H/3/i8NdtbJvzr33VZl/JFOMtp +rE/ZqsOaVT8VT+uzFj+VfZiZErr0eDHYJZ6GtPXt03CwmbI8Mg3ZPcFC98vv +Pbpg4UfQW6DHFBzRa6zrTdv3xUFn3232TSw4NoB6h/xasP87E20amzX/bzF+ +NGnHxxe7y/jS+SJpb4+UCiXToMXlUs8G8r7CPsO+wj7DvsI+w77CPsO+4nfq +rPsK++zZh/bTBry6TBnbUz919Z1Hta7+XWrDo8v0i1Ojp+/Pr+ZzSNfftt0z +BZroeKLpjwMjAynph1k5VphN9FvwsgGTjgbRjPDEJR3cTLRz4LyvKi0LohqL +Hx5u/9hEWTq3u3zcI5SCxler/tXhQCrR9MAWp1bhdHpQQuXEtep3yrr9PO27 +O00CaV//VYdmt4ykwW8Pjm5aJJz21VsdcKxSPNXp6zPGfYL6PffEe9vX5qpk +piJdShSceDqRDlV4eDJLPTOZkzL/qHjRf//MdOqvA106PkmiFtEJEROLmym1 +x42yK5It+nH5xttX7kskvxwT3QfH+FO5jEL7yngmUi3f489++TGAbjj8un/W +pXiWM5A7le7+WTdvJfUOSIan69sWC5M4nrTOytUFb8314nsbf+5v03rLC/XO +//aR8V5zZydRdvqzRZ86KTQ/y4m/wq8G8L0F6BnwA5yZE+HeKyiVzx9B56B7 +0Dnofov1HPps1/4dhjVXcYXQy6D3QA+CviL1GPgdpg0N79tpyzmqmhQaUXnN +fWqd7cWj3zZdomqFasUNGXSfCu8/0m3WV7E07fH4uIVtfSim18gL9zfGktvv +SxscscjfYhXeZBn1VyL1S3zrEG624O/imGe/W/j4nbyNkpqP8SKX0D6vC67x +oq/vj45ePyOJnP6ZmqVVYTfWd3GOvnhB6w3jv/Bketm64Ma5+B1unI9yyJf3 +UOCnGdbNZ/Ogj5c5Ls910am8D1JdaUeXt2uaXlvB7QRnuzV0dyVf5nsPrXww +ZMG7hpWXu1DlwHOBle7dIZ9HtcrQKBdy6z600eC0u7Rq4/0zKRY5e2tE51aB +FrnrapWzkLtZ809+P8DCh7aeXryph9e/55wGHwJfWtOtyfuLFvleo9zRW3c6 +qt9tPtPjz1zfeQTS6dEzqiyvm0B//7NrUrHeiZS99ZINjaon0OhdjZ4e25BI +Lom/LPh+bRIV+n2Rs8f5ZGpWvtnzBauSqFeOggePP0imAeNM8055pXC67/y+ +Jl7JKfS4dqnG+T1UinzgCXjDuuQZ2L/FyHpX2A8Nv5k8x4HchB81pU3N6yVL +qd+7gp8UdIl902fo2brmOclM99gH8Htin+CcC3TrUSZX1PHh0VRzSJ/e0/IH +UnOX96eqj4mh513+Krk2LoDzUQ75KFf4U7rZfYeLjT2PfPCfMT6JIZMOePE5 +HPYl9jH2Nc7lsE/b+dWc57DAgza2fXz6ysxQ2vk4x9KFh+Xv8FjwkuPHRvs3 +mbkc6uEcD+3til2c27GxScQxx1OXNa2Gmb2T6Ow0/1UOHxUfW38n5pNHryTx +u1pmSrq/uuD6BPW7zN4Tfnp0b5g356Pc+HezqvsWTKAP5e7fet0viXIm3ivt +OSqJdhbIe/7ZuRQas6Nsxuk+STSpfPfkfCXUu/ofLsx6sNXJk1PkY9y7e+V8 +2P6bcPpq4LERQ9fH0LWQrf1ihvvQd4tWvutskQO5Ss8bv8QiF249r1f1+lcJ +vA75XzWo93RMEvt3wpb1zFJt8jEy9Vu6d7HbfYrpOX/u4DD1DvrNK73WnN2A ++gmMl8grFzP8TyVRWPeozaG/elGtlyVbmm4ksZ2Va93QYzWS1O93npteoVuo +m/rdxHHTHy8rUSyJ9ln3Qbi1Xu2RJeZ939KDuhyIn752fhjFty/ZM+9AD5rT +5LRT37xh7FdwOnoi72DnJNZrj5Xe/yjYz5Xm5rlaveBXbrTaa83k8svb0Nhi +He+0feNKTT0rrrmeZxHrnT0CHZ/d7efKKfIXfH1h/6O6iTQ+R9FTvxXzZv+H +4zep0fRlOKfIx33eM8Mebz/9q5mo79YJf/QzM10gDmDjgBUdvmmuUuQDz8A7 +5g08YN7AA+afLb7RzmtfqPfvC90oMefmTfUuLNYN64R1W9cqT6WAAPU7WTiP ++MZ9//7E7YH03Yf9Z3c0Ub8LCrzsnvA88fnu+1Sl8sKvr/Qw0aeQ5PRx99Tv +93au0CHP8w7q/tjCRkPHbj+VxP4P+PUGmrv3njEomRbXiZ7zV5ryI8Cv4NK6 +nyntXCqlrE981aRlko1f4dCqPgXG7rnP44KchdyFnIXc5fc3uvstf/zQhzb8 +nnvYyYYmuln0m8TEdHWPYXTztvnbVormdWuasv3AhVdRvG+CxiVPPBIZxX4j +eQ87u/XcesSYQkm1Nwbw/r9T4KdVIQWjGS7eYtWHcQWiyew4J9v252buB/0m +vbpY+v7fUXTs212zRvVOYL+C/v5kOl0afq2W58E0ercy+/EPzdIpoMXUJVdO +pdH8PO/OZjmkfs/zttUuhd/2phWuY4Wxzq1XnetXKK8PDWt4KH+NhmYq2a2W +46icPrSmXfVU371mWjYmd4dlad5M781rbIjKvsybcsyp8fXAk/HUe+nsqR1m +enM7aPfJDxkvty9T9e5+PF40YWsa5d3sMWTejXQKrJy2c++2NLr16Ze3q6+k +k+n7Y7P6eTtTy6KDYuuvcuLzyHUZEVv+rOpEQ+p+WuOe4cz3Hv7pP2Vx6d/U +u8GIs4k4tskt23FPCujfKesKiz6c5067KyO3ebPdDju+55TiN3oXC+f4jZWL +Ssx4MdRMJY4Oz1XCYtcMtdox8Va7JiT1zfojFru+4uJvAhr9qex62Pnv3i7o +5mbRu8cGNLxztFI8673Qg/e9yl83zj+R6pTu++CLcglUI7VPz+8seknkL/Xy +/llX6SXQU6AnQ29uWeFxuxYWPdjUtmjw8NlKb4EeA70FeszivuX2hlj0o7R6 +AXmudVC/61FjTNU7BdulUcjbt8X27Fe/a352TvaaTTbE0N0Rl1sfrR5NF7/t +4nQ+NIZ+6rm9r2/laIqw2sdY3zsXtzY81MBED150dvBb50lrFk5o1eW+DzXd +3tn5nyOelG7VB6pa9wvkLOgdfAlyF3IWchd2DvTT9jW8z3wsbLGvnJ8UH/Rt +NH3IdeLpiPqBlDxkbXj+n6NowvaMw64WvIe8b3DcLUs0Rbrkj65usUumpfSZ +0fVtFM3u3D992vJEGj6+aErrxCiqXMxraW5zojWNovdH3Adsjwyj8d/uK1W1 +WizdtFg/PW4E0KEpLb4IPBJLK8rEFy2wPYD8HJp/c2armRJXD7q2/l4YTW9T +Z6Dz0Dgq/fb0oQulomn39O+K3r0fS3GpO3KtKhRND47miG6xyExeG84UOLM3 +jN4kly35dkcCjxPjxjgxbugN0CMgP5tl77Nz4cp4SlvVN2ZXyTT6vdewtT/t +j6evu+Z5vXVWOhXJTOMpW89KbicXqt+DLpn9on/V6WF0c1OXiI8Wu6/hgcpp +/jPD6K9dR0s39FR6CfQU6CXQUy41L+DhezGeypZwanphdCr3g36/DQ1ZlfAm +kfZd2/zy4YV0yjd1yazque+zXyWiw9PbJTrcp27Xcn/RN9iB+QD4AvgA+MKw +UUFBd/K7UPPS7a5Mn+dIv5dYu27hC2cqmv9eruN9HlKTTWeGvbbQ3auFD9c5 +NFC/twO+AD6g33eOZr/d6QFlWid1j6FhLq//6VcrmjZ/u3fYub+j6dqoNQmx +daOparGmjZ//Ek3v6/+S1rdJNBVZMjuiq1M0pTUx38xRP5r9wvATV/E6c8nL +Ak8c7v12eNsI1lOht3ZvOf/etZVmmr6mQOynEnGst0I+YJ2gt2G/Qm/D+n8s +UbFl9K005vuQA8hHOezTWsXcXkcXjaaM1LHdnlro8Osm76dVLxxNnv3ib9wd +YKb8Q1dWfFMkmsJSh+Yv3i+QCrd0PO3XIpJ+qvMki1uLQMpWv9bRUS8iOQ4O +djL8iPAryrgzyDHINRlHlnGh48YPl5Oo3u4O2ztHRNHQEmFbcvqG0enTnwo1 +zGEZd8GedRtdCKO+fgUCWg6Np8f95r97sTqM7o+oFfydQyKt/X2Ja3ELfLPV +vdJ/307kfYB9gbg02DuQQzV8Sm8zu6VT7ujJSzwfpPN7QNCDoRcXcX7feI6L +N8vf9g1u19rv4E0N71atPv2wZf18VzTK1UL9vuuovZV9V5Txpu1ttgztXswy +z1ZFX61s7E1eifsOrD+XQKGnVoctrq3erYdcgpxCP+g3rmA5z6QgM/Wt1Xvt +9EjVL8aBfi/VCJnR2TKO11kbtC9SK4GeZ/9tQ9W+FjuECkw8NjmBxhf5YnL7 +tmpcGCfGhXF+sWfSwNo1H7Be3Str5aItez6gmNFHj24MW0j+y7pv39LhAfVp +8aZ3jTXLadbsue1+y/qAZv3hnFFs1T6uh3aQj3JdTmfrOn9qINsx63a0vLJp +SCDLX58iFVvlnx9Iu1221fZqFsF8AnwD+iLiQmD3wg7uV7Tbz62Pp9DBE9N2 ++7un0peHWgwOPJBChU72dpn6PJVOR3f+ucqUB2yXQ7/EOVZ8y935SpT0Zjpd +uHtUsQYffVjfH/Os4bsBRU20reTazuaSkRT//c+5nHOYyMt3e0TJKZHUJkux +O+OSfKhClnxDGr2MpGND9zf5/aUP7a2V0OObO5G0f8ZPDr4NXPie75nOfiMG +lHSh/e1+jmuaz5GOVbox7GZNF/q+Q9YX4dMfkN/lymXXdnChsu06ji4z0WKf +dTt3Mu1HFyp9qWe/Qg9wP/cKnUiYOifutQudbfPPTxFbrtG85ILtboS6ULWL +a978OSSK/BIWNsjn70O3spz0Kjsvir6dXKvvGS8f8rtSfn7wxygq1fbNyA1X +fOjXxWN/mpA1mg6FxCRks8DbRu258vGwA7+zCDsH++ibax1GV6QEfne0UoGC +65KbWOTavMRWA4okkluXI6m7OyRQYvmmbr4WOm215O/uC66q353d59Hk7jfn +U+hZ/0J+ufamUvgPjQttuphC204Wcv2wLpUG5K+zfvmdFDr0wmf6/NapHBeK +ONGVHT5U7hfvz3rWVw4+92699afdH+o9X9IukUyN9mUb6+VPQ2YHuIQ3T6Ib +nQYN6Pw/ft8xvYJHwd7NA+ivsJkXWv8VT0NKV8t4arFLvjdt89hhsVPcjpRr +s8qilyS63Z4WF5ZEBWd4PmlvsUsSazY7/dFip0DvhR6MfYd9iH2HfZgya2KY +w4IztDeH25aKPdS5CPxuBlVepHOBL1+OzKrOpfAdcVbwH8F++dqKl80zP/w9 +z2KXXb+7saRTD3XuDDsM+w5+kFvW89Qb4pxdvlu13cqX3l2a61i1bwBt7Zy/ +XqGyFnv+8oJR3Xpb8Bn8Y/1qNRVfBX5hZ8HugpyrdG5Qn8iN6lyn4/OWY042 +CGD5t/jwFwFlvf1Z/q3y3TVg4Ch/lmsxY58e6pruZxMnXePsyNmbLXrbr3PM +pbZWiOb60amb10x9rN6/eTpr7pbIm1F0M6zS9yU7+jAe4ZeFnxZ+WfhpdTsx +hvtBvz0Lt6p+sGQA8+Wqp5yvnS1kmWfdUm6X7iXQ5tMTPHLnDqArpzuW+v19 +AtuVmDfkIOQi5o15XG3yMv3Cz/407n7rtb8/S6Fmfbb0qvK9Pw31b9x34shU +nifKD+//60IntyjqUXRW01OFUhlvwMOwW7l+bBXnR72Pb384Nmc6lboWXCPi +sh+t6DhoQaP0dMYTysdvyZWSarGnh336ZvBRi31ZMV/T9AnVwjnFe19DktrV +7rhGxRUjzvhm8cabDweYqdqLlI8L/lDlUA92J+xQ2J2wQ3OaTBN6DVN+ty3H +Y6ctdvLid0RPHp+04/BtL+rdd9QvxQslcVwB5D/kPOQ+7EzYnbAzYXfCzoTd +CT74VUyTfj/PdqWtDyNnB645SbP7tJqyZ7wrfb2k0MPi5lM0tUBx52ojXHk/ +780W88/bJq706c+mpvE5LxAFTc137EdXOmDRNquePktTkrrnKtNdnXvgHAR+ +dvjd0Q7aRTtoF+2gXfjB4BeDHwx+MexznNsGNood7nMpkc6NveodmOxFr044 +d26yJpHj0/Du7B9BVX6KyeXN5VAP5VAP5fTfxYmicz26DGucNZx+vxRbvPPC +KMqxv7H32Ozh9CLL6S8LWeTV/Kr7L7XLGc75KId8lMM+qz3xfpYvOplpZS6X +y1fHJFCsX/rNKt3MdPSrBwtd6iRQ2mGzy4BeZi6HeiiHeiiHevC7ww9f7kVn +L/+SCUxvt6enPv1QLMGaJtH9JxNOLZuO94NVHDPimkNKvB5Y1wIbaQr7aRyn +tNoUOSKFJg+dNzW0TTpdf/bnrYljUzgf5ZCPcrDrYefDrsf+53f/rXa+sT5+ +1OdSgYLxdX1pbWDzDtHOvjRqw+lKuxv6cj7KIR/lDH0jiLq1cXD28g2kJuG3 +ri0aE0SFt1Xf0jggkPNRDvkoB78C/AzwK8DPgPfc3ldrvj3ozyQ6+LZpmbtF +k8k1ckGPbw4lUfy547WT0i1635rBex4dT+JyqIdyqIdyqAf7b/HBLNs/PQuj +a58ahcTljaHKE9uPb5YeRvVuz90W2TKGZrac5/AyOYz5/LNS+0rVilZxuojb +nfG6fsiQXTHU371Mxd3xYayHNAyq0elxXTPF13lgrvMgkR6a//2Pmf058a9y +l6wZGk/Duq/9bUWNFNp3cebueQHK/5H/485yQTfiafWmWt9mM6dQy4+5Yiff +V7/78+vQxXV/rZlEkwNWNj88wWLnTMuXcLxKEtPJuJPXOpbJlkRjAz7UG1I3 +ncq1CU7w+CKJ/Rjwa8CPAb8G5Ppbq5yvlvjN0K8c4ilPy+IzN1AAnwOnWc+F +h15v8M/PnonUa+vF5c4x/nR+xuMOBeOS6YlT90+vl/rTn+d6V3n5LpXWpHpu +/b2M+l2CQ98+OX/EQ9l5sPvgR4FfBXw+e8NlE9ufVHYg7EL4UeBX4fPubQtO +3F6i7ETYjbAT2W60+kHgF4EfBH4R3kdOE1+u7xdGdXJc3uwRn0xLe7xpHzk8 +jIrMPld2XakUevtLk/j6g8OoW+TieYc7pVKRc8EPqrcLo+WNrz9Pz5pKf26+ +PjtH1zCWoyHlQovWqxFGca8bd9pdOo280yduq98kjBpFdFvTfX4aBfuvbPzi +2zAakaPIh/1n06nY+fZR874Oo/ONd8fcbZhObh0SGw4oH0ZDL2XJXiAmmfLV +vDbuiW8Umf553mu/ZTwt/U89mOMTRc2O558eTGn0YMCL9VXvR1HlrzNaX+9h +kYceg8tNuhfF5zQ4tynq0bJ8XTf1Th7mX3ju5Rl7M2LpSp/HC6+FJtPH+AyX +DlnMdOCnmkd/qplCJ7q/Pdr9bSydbUY5Vo6x6CEJeTf8GRlLBwsmWf6l0OHM +NJbn/3a1f9WyD2PprmPe19X/SaVZ35nP7fCLpRnT1058dMxC361jJj5ziaVN +bdt/+DI6nbZm71zt+4uxVObohVvv8qTTmkW/VQ+8F0tFVwc97X1M0Qn8evDz +wa8HP9/FVd8uOlBB+VkQB4G4CMRBIC5i/7SF+7sXN1Pebo3y1XqSxHQNOgdd +AE+gC9AJ6AJ0AroAnYAuQCdYR6wr1hHrinVgurSuA9YF64B1wTpgXbAOWBec +y6E97FPsW9Ap1g10CroFnYJuQaegW9Ap6BZ0CLoEHYIuQRfoD3QBOgFdgE5A +F6AT0AXo5HhiuaFLVtmeOwKGX/Js5JrkirnvU4se47MXy+fL52yNK/99asY7 +ExUOHb6i1tgAmmiNO9psjUNaUiUxLfutQD6H2zM+Ma32uUCaVbGfe0ypUJrZ +au+HKy6BZPp5TefwQcF8bgs7rGa5vOULrblHOQNmvXN5dYvPkx7uT7doUNep +frPqHt843eN3vFEO9VAO9VAO9eA3hR8VflP4UY35h1DZW4dK3zrkQc/+LrLt +yMhQOvtDhXHhSzzom8qPGl57HkKnKrUKbL/Pg95VXdLoz8khdP52eIXTtzxo +aIWDg0reDaE13WM3Dj3pwf6fmYsrNF289TJNmfdkxPrgefR9/ln9/3p1mYZZ +46RqWuOm8ixfUcHl3kEK/Pt0J98Clyn/z03v5PPdQVPSnQb9Of4y43VK7p7L +ixw1UWiJB20WVQulzY4vqw/aaCK/QQWX99oXYk1NFFw967jUjcFU6XaVy4uu +mCjv+YCI6+ZgKrX3dtvNZ5X9Cz9Ul4Mnykyc8ZTGeDbYk2V0oNVf+NSaKj8U +/FLzLnaLGPN1NPWot2r9/XdhtGh/nsCbeRPpy1Utb48jM3WdXiJ/94fpNPnO +6e929UmhVI8eHhePpVOhhucbdv8lhfEMvAPPwDvwDLwDz8A78Ay84/y2d/rY +QRUnmajf7pPFhp8MpS9zL/d8ssxEk/aUeOIyNoza+zomHJtqolNd3UK2nQ2n +Pg6Nq4zvZaL3nq+bfH0ljMafOn8sfZyJzy1wjpFnX/2dp1/EUo86/SKbl4jm +fXP1rVdJmpfC5zo454G/GedEONfHOT/OTXGPeXybgukzIs10Y2/tKz+sVveW +cY8ZcZ7VrXGf8MvhXvKloX3OXw9OotH3Tg+afFnFeSLuE3Yy7GbYybCbYffC +DobdCzsY64x157h36z1n2NWws+FPxL1n2Mmwm1dVeFajkTmAHm56s23PNNwz +cKDJVnkLftTVisf6VYz9BH8K7pXL37HYO6jLpd8qJfI9c3nPGzDunct734Bx +Dx32Mu6BA0acCeJO4JeGnxrv91a4eezRwHIqRf7JrpOXNzvnRc5/tE88kPcJ +dXF8E132By/K9p3f7vVFn3A+yiEf5eA3bzlqbZf8MZ60Y1Kb/jcqeNOeG1S2 +y1tPcrvqOvzaXG+qkq3TiywJnhQd3fjDkvpxtPrNoikDlptZ/x+R94151iof +Gr/pl1rP28dQ9aedTpWe4sNxd4jD67X78upyHl7UK652tMvzRPaDwy8OPzj8 +4uBT4FvgU+Bb4FPgW+BT4FvgU+Bb5V2Chw4JMnGcCOJIEVeKOFLElebbmdi4 +z2MTzZ128Oh3y4KYr4HPga+Bz1UNrZ08cEcg0xHiThGHavYNLJZ7XSD1vLBh +eXSrcFqeN2fq2SzhbMeDz4Hvgc+B7yEOD3F5lSadOVPoSSBNzOL995HnQdTg +ZLElid6BlH5w/pGhD4Jo7fAXE9c1VL9DiXM3nMNVuVP9+epG0XQjcurycwuj +adTdZ8Wq14+mNbmXN5vqFE2Xc2c/uLNBNGX7LahYwIloKtfwQdSD8ckU5vFj +2R+3JbHfGX5o+J3hh4bfGX5o+J3hh/7qrEODJge8WH8cVfHbujVa433zvSzH +INc8/kht87byZXow8NOxAuF/UqXuhZ7EjLtMQU/GLqngvYPqXNw87uPYyzRu +ded53ZN2UJGivzYcNN8y35ruY268Uvd6cM+nrcvkbWOWJdOW9A/tuiVZ7LJe +6YnVniZb03gKa+PsvGdGKo3pOmTp6wvxdPtf8nNMpZYWq29KiyQqUaHG24Z1 +0qxpEk33ce2z9F46/ZM3rfiA14n0/Fizl92LWfbXr46tb9VNpLalvx/nn9ub +mtToUfXx2ET2W8OPHfvh4arG1QPo+825/jjXNIH+6TlwegkLH8a5Pu5Jgf9g +32IfR1zoXLOcsycVqh4yLqOMDxVo+vzy0whPmv76QvvOx9W+xj7HvsY+T978 +plP4VVfGf88d79o28XCln3JsPvO+yHYy9cmaMPK+K1X27WVq3WUXbRxp8m58 +1JXOjM1y6Vr7g9SnX6fmU0660pwN9JNLtwPcDtpFOdRDOdTDuVCLwqZE8wd1 +7oNzIJz74Bwo39p5HW/5ubKehHMbnOPg3AbnOAvezfKIHXOUbs3sXDBjlSud +3jzh6tAiDjS946RJ0aVc+RwJ50o4R8K5Es6RcK6EcyScK+EcCedKaBf9LFj9 +wmXjsmgq/8vcK2N2+1DBLuvnXYtwoDXTvUZ0mHGEDm2sUCffJQfatbPmooP5 +jlOD5muWHu3lQHtWpb691v8M/VDo2r3iuxwoV/urhXrPPcF6EvQm6BHQK3Bu +h3M8nNvhHG9OxO/ZTF39qE6X/jephi/VDmty+0BrPzof0qh88Zq+HIdc2RqX +jHKoh3KoBz4EvgQ+BL5UbEynv469CaUvVmXrm22o+l2pNaG9L/82yYP5CvgM +7vWV7/Z6+vpl6vfAqp0P/qtH50C6kTqwQMcWkVS941afT30CKSFPcPmrfSOp +blrXu9t7qnN2nLufDepTfodzJD1aP+J87jaBzHeXNl1417OSioNBXEz3JXfS +jgVF0YKbcTeylbPw9fdN5l/qbtFLWmUrfbaeZX671s9vtymKLj6vu3dn9UD6 +9uof8/1+SKQ6mSnuBwbQ2ocvnI5OiidTlkPf1CyXQC3D+q3LGZBI/2QsnXro +mwTK/uWCDUOiE6l6TdfBYfOS6E1Zd+cJxVNYD4U8gR4KvRR6KPRS6KHQS6GH +Qi+FXgQ9CXoT9CisC9apakpEjzPVfajwrPSTfbbhdzGfUkTB4kWzrnPn8/Wv +yh47/EveaDJNPl/hu3PO/G4sUuR7LaxXMO4c4ijSqW6lO3sGX3dhOwsp8uHf ++6vC6rTet5+wP+9S9siXgaWfcD7KIR/lrlnjMkt0LHdi4hhP5a8t1rDG2xqe +vD7n//DM8etpvHviT06DX2w5kvSY66Ed1EM7J/yvzjxY5x6/o4sU+Tgf6en6 +bd5/VqRwP+gX/ejv2QdQ1YJdnpf/aOL8Ufdu/tOguC/bOVtjsjSMvgj6DaZx +7cM/LXDEvaNAiosf5XQm1kSXrq++dHZiLOWecOyLpfx+ehotvbSz7bzZnuzf +bNzzXdrDJ485H+WQj3KIv5n8seOn70t4UFLi4COVTO78nhTGs2rfm9GdzB6U +/0Chs8vHPuZxBfQaPS+q2mP2ZyMf5ZCPcmgH7eK8COfoOGfFuatxjp1gPb+9 +0hx+YdAH5DzkPuQ85D78wJg/5DzkPuQ85D70XujBH24MXd6gjhf7z/F7cTkn +jxoXMs/M5/o455/85sTBWnv96Ze2cX9HDE1m+sk2ucGA7LMs8mNzmfpLoi7z +ORbw07HdgLPP3dXvpp47N3JWh2JmOuoR7rxuTgDvy00h79pOmxxAldJudKq4 +KI7PaU5u2rf9n2dRXD/l2Na2e8KiaNfg1x/uTkW8fTyfM3076qsNPWonUEri +i9k+Fv6W/HjuSHP9BOX3t87/46dctS74hLHduj/X5P3bz4exvbXvzLu3Z3cq +vzvkdOPB51Nq1b7Pehr0Nuit0GPxu2Tt7/qNKbgmie1c2L1dh83wnrwogEL3 +Fz1QpXQcjwPjQr8YR6F8LVZcX+DP9DHku2kbRx5Tv3eJe9+IFwBea1nfncI9 +cmP+6neevlrbLnGft/r9RNzLg5yTv6eIe+OwO8HvcY8YeivuxcO+xL142JO4 +5w6Yfxe9Ytl8Baek05wqP53Ms+4pPcn6vJbrMnc6v3Pngp/WxdH0S2+P58pt +0ffPDir78rgzTdnXKFfv5EecIv/Cv+7I8y6UmC1zQtT/wN0XrQ+50IaXSY4/ +XrzF+SiHfJSbFNt97Q/fp1Cdia92PNr7hHaV+LCrypAU2rE/376xq57QuMbT +yyzPnUpPO/1e/utaT+jlhH3bytxKoTvjnn5bo+8Trod2UA/toB7aQT208zE2 +I21cbl8KT1n3IXKIJ61u0mZil/u+tLATdZjRxJNuHml260izAArsdM6v07nH +FHRmaaUfvP3pbWKNTbkePf6/urr2sJqyNk4xVIjQjSgmfSKZpykhXkqoNDU1 +TXoUNbmWeZwYlzC+mlCKpzBCQk2E+CoqhaYLXXQupaM63U6dTh1F6UgqE/Ed +7N8+8/hrPXvttd71rnfvtd/Lfi80xTPgvc+aauIJDaIkLXyyD74ucDlbTbvG +pm30reSzcLEO4GKddt/z16008yl8v0HxlWt5bIt+KwcjvY6EbtJ0UJ2fEtbF +4gG8gAfwAh7AC3gAL+RtQR6XxjeblnlLq8k4PPJY9zdPyT1t/ugz66qpMLJ9 +N0frKbkZx1etDqumJzP7XYZpPqU1TF6XFUyelzd5H5fejqknmx+/jbBTXGen +6xfseFtHmabx/wvME9GKOs4dyz0iMoxpOtHVKmTzAiFP0JdzJCFd92mx5Vpi +ar1gUGiX1Un1gcu28VvK6ar+U2PtnE6KD1hzdq2knEzmH1rvf/slHYw4n/KA +L6BS6ahflj/opqy0rfqmVgKKsq8xWXtfTrE9mmNtEvi0NSTWLesbOSXHcD/k +qglYuFgHcLEO4GIdwMU6gIt1ABfrYD/+xj6FQcQl18bxTlx/IfUEmryPDhXQ +gbxWnZ5sIQ0cLDWX7hBQQpRlymSXKjIrctJL1xXQKPsD+SNDxTQhsv+QhopC +7sorMVzkISbaMHvuljE8GmmWE2SR1kjacqPlUgseJc60s/T40EjH61IybIx4 +dKr4kurZNi6N/+mSV+A7MQ3L3vfzVSmXkq6UV1xQbaKYQa8MTi6XslTck0sT +m8ha/HpVwOMqcg5yD4z6wKedW/ecn7Gtjsz9JxwU9fPoDi+85vdddeRSw1Pb ++YZHe6OMLmbr1pPm89zimHIepRo/7NreVUe+Tofr6mp57D6xb+wT+8Y+se+o +tMKkaQ7KeofjVeN6X0TwqSDGs2KqpIa4KrJdc135VOl941pPk4hkf8+VFE/i +0w1+T/ITWS01xO1KWE0KOcFT0zZkdi3ZhwVnhmzKp1iLN7OsRudSpE1XhOPK +fBrQSeo3Hspl+zEO/RgHPIAX8ABewAN4AQ/gBTyAF+gKOoOuoDPoCjqDrqAz +6Ao6Qy+Engi9EHoi9ELoidALoSfCzwx+Z+DDsIPCLgo7aTNzH/o04nDwPwR2 +B+RRA18BnwHfAx8EnwTf7NRbO/va6GYaOmi792wSl9qYuB1dJo4nod6v02rM +M6aV0ket174+ghJqSDqw3yuhiJa8Wzlt8HYJvdk6o3rLiWK2H+PQj3ECm5fR +ifPL2fZ03Xr3NVvK6eQOi8r3psoW/bCbwI4CuwnsKNDbocfDzgm7J/RU6K1x +Gu7cpSsryMzj3juj/hf0t46Fd3bVMxKO0bb69TcZpXnr6N9Y94z+6V7svzhE +xvp5wu8Tfp7w+0ycquE6UU9ZZwx+jfBf0p1VWxMnLKXDRnPUrK2yWbsN7Diw +28COg3GYF5A3sWP6ulxa8P5WsNOxUuIyccVPmDjj8G8jW9bz88hWq5hjvrmU +jRNG3LCO9WO/tPBu0v7cdpFBbIH1pkc15GLf//2eXiHlOOXsvVdVRY6c4epN +Bk/pnKfdnCrzBpqqfS7q/E3lfz3854tIPCnNPlhHU0rqf2ssFtHC7getYYaZ +dP1+rKVrkDfdm22QWZaeQY+dnyc4Hz1BnSHfCW7Ja5hWoa+JOzaHqtXRo5zL +Vd4FQvKTiwQDqrXkcUj1+W6RkNSnfywc56F4nwezzF9oyEiLc7er0vEFlazM +7m6bIWPj2L+cBy6ZyXRS9GdKaMkUl+prHlxWz4De8SFlQvrFvtv0Z/AC6VH3 +dLZF/1sHrmGJQu464ZD61yiFHBa3dI+FQSCXBnduS1OVN7NxdThP8COGXzH8 +iOFXDDvP1pGvzlvPFLAt+tOK5PavHSVkeCX10cvlXKrvfXRHGCGhgApNnuNM +Lj00uhaQtlpZfxAt+nFOcW6h/z+cn7xFqAf/xAbqc4s7PHhJWT/wrm27SvFx +ZZ4Z5J05VyDz085pJJd5hbqHT4uoiMkzg7wzY1+F2DSHS0hfMjw4TxNxye1U +5jT8WMa/8l4gD4b+Bdf9Gza3M62M3AdckloilfUFoZdCTwUfBF+EHgu8wWfB +d8FnwXfxXcR3EvDjR0jaMw3FdLV83nee2WLSvHzriLYCHuwmsKPg3OIcL1Pz +uLtqXAUNuESvG+bXScXlqzaGminrA2YxcTOnmDgat5vWoZXzpKSmN8ma1FtZ +P3T4pcMPHX7pX9aT0A9np//3uoaYCk6n+dpelJDm0PMnl8eJqWPVcf5f2i0U +PtTrkjFazOp9C/y+52aslxGHE1h7ck87rRja0dSwUUbzTsW0fexsJ3WHD/l3 +vWTUPfxqy5ErDUwrIrXdpJd0WUxLDGTm8sPK+oAbUnYO2I1R1tvaG2gbtfsn +ERs3gDxjwPdMfXN2cEUZreVM4teVSWiKuVl7lQqXeIOL1gdfklCfT/JNf11l +nbiFcb69YalcRv9X0Odz+5jhX8p6eCaMPrmXsUtBvwxlrlGHyuaVz8JXPmVU +nLA9nhPWQn0LDZ2DD5Sx80y+mgc4wAN4nZoU2Gn5Ke/hKyOvCfpiyhlq63op +bSJ7lSkTtQzE1NLSn//zvE9+UhsvjI0X0VDHHdPoLY00TMe5mnNORO6MPfqL +3a6VfJhr1IeSfcb3ESNfK+vXOTPXoAPogry3X9cJBJ1Q5yCI+f5MZOajjtwP +zP1fwe8ZuRNyKOROyKGQayHnQq6FnKu7j+RC9RaqfJBpaiJVrvt1HT3gMZgs +v8+3byFu5VTeoqIysv5M9yLW/gB742zmeRQw+/2T2S/wxj6uJzumO1c10WLe +adudBmIWDuACDuDiu+zKzAdcrDPObbvKkTlS8myLcdJxbaWOXlnE0rlS6nkY +7rZvubK+FuKI5czzwnlHHDHiihGHAHkK/yeCmOf/rsMyZNEcCTmeM7k1QkvI +6iE4ZzhHOFd4r/Ge+6ZaF/2zQ0Lq8jOVR0Z8ijv9z6K3ARKyOHrM9veRQvqD +sUd9ya/dRrITfX7l95opZMTU6KX7uLSBV3lRqLiOnnwkarGRkExX3zLRU/DH +nLYMjY1eIpqWmj+Kr7jvYNfo/05HTPsDJ9/nfcqf73vPN/wXEfXlm+lNVozf +9uP0u2cmCklSzLn8ab7kj1mJFyaJ6f+d/W5j + "], {{ + {RGBColor[ + 0.12089266666666668`, 0.1244815, 0.12812183333333332`], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFk71OQkEQhQe9USAgex+AQqjpsDDxrzVBTAxWdjZa6Tv4IHZW/lU2RhDp +qEk0AiZCidHEQq6NifNlxpiw2WF29sw5Z/Yu7h/vHM2IyJauWV2DeZFuJNLQ +5KHGB7qeUiIfschLVuQtL/KVESlp3NP6puY7aZFKbPlNrR1p/jQn8qk1iebP +g8hQca51f9b8o9ZcaHymPR707q7u7bT1AnOs8UgXvJKMxfBZC8ZpJVgtd+AG +Rsdj7sKzGFkN9QUwxf4Tg/fq+BPVM9T699h6TTN2tqyFe3PqR7B9Ehnvqu5L +kXHGp4nHt8HOWorXzFtMDl7wQyu1XcfBP2L0tmI7/8mZNjhvBLvXdn9qKfMW +Hd+xeYvH+MrM0FvxWdwzK+eNjkv3nzm0nQ9e1QvWd7tgHozdE/SRpy/96Ntz +3xL3p+589CfrwfD6yqecNW28ha5783f3JGNzxGPOeSdophdcwJ16nlnRm7tg +Tv0uHqILf8klnodLzfngB73whDy9wIEXWA2fXclj6vGHubR8dsNgNQPPow2N +d+rtVTDsm7xxKLteuFVdM/25C34/GAZvHz51/0bwBM/BOvF3Xoz+vwc4Vxbs +za4qxi+aFpUP + "]], + PolygonBox[{{4315, 1627, 470, 4314}, {4412, 2274, 2780, + 3562}, {4271, 2012, 1053, 4270}, {4589, 2780, 2, 3203}, { + 4268, 470, 2012, 4269}, {3509, 1053, 2781, 4590}, {4540, + 471, 2242, 4541}, {3920, 1077, 2801, 4600}, {4599, 2801, + 1077, 4574}, {4316, 1076, 1627, 4317}, {4574, 1077, 1076, + 3517}, {4157, 15, 1896, 4158}, {4160, 1896, 471, 4159}, { + 3563, 2781, 2274, 4412}, {3919, 677, 1077, 3920}, {4543, + 2242, 677, 4542}}]}]}, + {RGBColor[ + 0.19245004999999998`, 0.20833063750000003`, 0.2244391125], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJw1lbtPVFEQxo8r7gJy957b+UAjUtj57nxgZcMaXwmGx2JiIVESRQIFUqBg +JZ2tJlqBiQha2IHyByAVNCJbKtFogppoA/j9mKE4Oa+Z73zzzcy9DTfuXrmT +CyGMamzXmC6EkO4I4Zc2nVqXNRaCzezXZXxe97e0bpbN2WjrM5ovaH/d7Te2 +mc+65sNVIazJb03r+ZoQPmp80V1B5/kqszklzGWd7df+a8HuBbmJ1+mYI3Uh +FGX3IxNGrdlFfwv7LXzOf4vLSDGEWc3Dmn/KZ0i+75IQJuSbyaZPd33itap5 +Qb71qcX9TDZJ0fiNa/2i1ngQHzGXNBZl/zJne9Yno/E8Hs0H3wbhPam2NTEy +iBd74oRPvzAy4UeNOXEv5UNo0qjXfZfnAXvu/zhPtMKf/ZI06dLdgOIb9Jjg +9zqanhPRtEEjtHqTWTxvNTfp4LbuzmFbtBwdEPeBovGs03woWs4bdf44Wn2M +ap7UqGg9FY0jWsCTeMteJ+8z0/qD5gfyvynee1PjiP4tsvkk/53yWYq2RyNw +ZhLLcUW+3R4rOb2cWj09ErcO6dWu0Vow7q1eA08Ty+ku2fZIy3t5i31Patru +Tk2PHj8/mBhfYgWv7HrBB5t1t93wHJIbcHij0X1PyPdoNB4NOmsTRrvXLXvO +l51zm59fEo9e4VxMTQ948iZzr3NDs1nP+3BiNXGtaDlGxxavH3oKfdD/ao3V +HH0w770Gl+e1VsMz0vSV1tOavwlzXLanM9OPGNFwKjP7ycyw5x0fGzTa6jnu +sOeM2IiL+Do8L8Pegw8Ts828zsknNQ0mNVjy3kJ7YkDnFa3rqi3/1NqQ133F ++/9vZv1DD6MPuLwFnyPReByLds5bC95Hmb9b9ljgvBztrc/R9NvkkDPOcx4j +eFu1Rq+hITnIe68uem2s+nelUrRapWb5ZjZ7nxAPPYwG9A7fW873pYZDnscS +w6UXqYcerw2wqQliqU5tTW+RP/L43fPJd3IsZ2+gGTr9y6yuqDt6Dg7dXicr +/s0seU0RC3kZ9NygKzrw7v3Mvjl8e8jJuOO3+zcSPdmPeW7A5h3w4dPv+cIP +G/bgb/4ndP4f8W/vUw== + "]], PolygonBox[CompressedData[" +1:eJwtkjsvhFEQhidYu9Z++52vcScodO4acVmVwjWhkJCQKAgSQjQoRKj4CQQV +xboWGnH7A36Aa0sICQ0N8UxGMck7Z955zztzTsnwVM9kiohUEmlEViDSmSqy +FRU5BB8EhgfCIs2eSI4v8kE9kS6S59uZ1vqJSidyQf4MfiJOyV/JdxFeDIm8 +o9XC2Ti1djQawfVoTFCPRUQeyLvIp9EO4PzERE48630kP6Ce/e9vFE/z4E04 +HMsMPd/k3b5h1VCte2fa6km9lcOZpT9J/zk4H85IyGZa98yzer/WOvkdeWbE +PKrXs8B6F+Dccneub7voIMrAJUQYbm+GSBvcWFwkPc3OPHAter8sfJD+OvAl +nL2oeVJvX4HdrTPpbNXOdvtDTxV4LrDZdQf6VsfE9n+uu1nC81WqzRTByxtn +8ZC9wQu1Q2e7LCJPOvOoXtVTKfUN4lP3S0+hb2+gb6EeL+DWOPM+RCTgFnvm +rQK9R+ZbiRtWD8vgPfgPcBvQu4lZj/aq56PAPKgX5ew726nuVv9Iwtkf0b8y +pv/PmYZq6Zvckq8RZ2HzXIDfJmfcVjjl6ge+HzLOKrW+uM2mb7KDlz8cPGGt + + "]]}]}, + {RGBColor[0.2288727925, 0.2508225725, 0.2727220325], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFlktsVmUQhg/0/P/fNj3/+c8GAbm6cIGm5e6CCIhgymXTUtpiLBTl4krB +YqIm2BhZaAGJoG5UEiVx4cJLAsIKQiIQ5FbAC6uWgkIxuNLEBQK+T+ZNWJx8 +35kz33zvzLwzc6a/+Gr7K2OTJMnHJEmd1itZknSXk2RuniTb6pPkNT0z9GG7 +1j49m6X3hN/Zr01DPjWJfYflrGv0rExj5f2vJM69rueqdDp1T5eeRdrvb0iS +dslHpXOxMUlWa/9cGvdvs/4sYdog2SVj5PwqvW8p9K4zL2sdSUOOzV7tt+rs +Ju4yHjBstU3kx+XLEundkPx0FncPy841PYPajxTx/Vnr1Onc82n4Ol/6a0vC +U5NtfE/jXvxYbV+mjYnzxHZY65Ce1jTwdhrP5w2BiRh2OGbEELzo4GOX7nmq +FBh4x0/0fi8Cz4UsMHIXdxI7cCxL42mzv4sVm4Xl8BssYLojm/WKbYvk72SB +7xntT0hnsuRLtP9M8sNNwiPcL+nOAfk8Wed2StZKHipJUtF6WWe6tV+hu8bq +zlOSdcvegLCf8P62ntXgkM63ReR4nNaFWXDtG+2nS/+87EzRHQcaIkbwDFxL +jI3v3I3O43nEeEIeOOrLEcNUa0mPTCZD1dhPyyJ2Fetgo1J+eNd28+2GDl2R +vxez4Oe+hojjSDWwN2sd0vuw8/hxHv5+ovVQKeJJnMnpkHUGJW8sR3zIS2ps +5BAdeFUuh5x8fZhH3E4rznt1dr2+r9PzXyVyjI1blj0t/d+Ul1R2rmh9W3g3 +Or+t5h45GzYe7pyZRy6atR4sRdyPpcHnTj1/Sn++bB2Vzvv4JxzzpDOxGjVE +vsD5hs+Rl5ZayMlnl21RF+SE3kHMv9T5SzpzvRr3w4kN9mO9fdmXx35/HrV1 +zXaumf/sV1pO7r7KAkeXbC43t/H7ggJ8nDxqnVMKTJw92xQ1NakasdrREPzk +rmO2OeTetda9hJ5CnXJunXsCue5JI4/Ieiz/oRzn0Ic7+NdrTMSJ2N4XhmU6 +f1Uxe6SI3vh9Ed87HH/qeqltrnE/wG96zwrrUOttrvcOxxw5vZBYrXKcOuxX +G/3Bfe2FSnCOnLVZRg+hh7W7D9801/CR/HMW3bs6+3cl3meUQsZZ6rTVfFtu +n8ED3uXeN5t7s/PgK7z9Res/leh3+DzO/eFNrW85PsSJHkavo77GVyOvE6qR +tw7Hd0URtT1d9iflgWlXLWp9peNAjx9wHBcUURt/FMGFYWNtdF+jZrmf/gCP +J+aBY7zWRVnIZtcCF3L6Eba7beeW4wg/smrUWpMxswfPnjz4eV72zgvHMeE7 +VwRvRs2ldbbV4146al5tlq09srM3jxkJ36ZI9rMwLRb2k00hu50+tMeeXkZf +GvX+uyJ8wSfmz6XG4M/1IvZnsogTvZGexp2d5ty7uu+w3ndq/cI1Tq0v9QyD +w+3mMzyDY12NMSs3F7HfpHVjEbOGmXO5Fvklzz2OITwkL8SH3FBf9Gjs3HR8 +6CEj5j35PlKOmiSP9M+b1ml2P2/x/8U+24H7+93z6XVbPRfozdQCfe/TLGbq +o3nMwHrPEmpht+uh07UK5z/Ko49vqcY8oz/QD7HNjMP+pmqc3VgNXsIh+NNn +nan+Zzhgffh4wPMRrsFd9HfnkRt40d8Qs4l5QK/r92zgv4E58GsteIf+GnMD +ThArsHxtX+h7e937yDO9j1zQdw96BnA/d9zxP88O7+ECNok1WPrdb4kvMYeT +j2VRs9RuXznuwD555y7qvd/2OQuuecY2kEesd+XBdTg/T3594JqitsjDv5WI +60+12J/Req8SnIAP8JOeBkexfdf9jf7E/x926dn3rT+o8w+0P5uFnQeVhz0T +m8u83rOceT7WueJ/pM//ANiGn9gn7uzJNf9TR8xbdFLP7pO1wPljLXSP+Cz/ +1NQLMw7ZUcuZ3+zfy0O/zvwbzGLOMm/vGyd+ncsingP+r9nQGJx5smr/m4Lv +vZXoF8xYsFKP2EMHO5OrUU8LXL/kkD4wtxZn59SCA72uqZm1mEmzasFD/CYO +zKey/4tOeU6c1vo/xNmNtw== + "]], PolygonBox[CompressedData[" +1:eJwtlElI1VEUxm/63vPx8v0H2qRp9GoRWOBslCEWFRFuSni+ImhQs1VBEWSr +sqBQy6JhU4siKGjRAEWtEqmch6c2QZRpBW1aFbSIht/HaXHgu+ece4bvnHtT +ew9uO5DjnMsgEWSx59wewFdwMbjHd+5s1LkmdOfAw0nn/uQ5txHdSuzPAuc2 +YPuO7gV4LGm+ldinOM/hMwmum+fcLPgE9tKYcw/RdXCekj/nNFJJ/FLffBs5 +l4HLibGT2CW52MCjoXNPE84lsK/m7it0kbhz9dx5Ca5WPGL/4E4/57uh3T2E +zz1whW+x1WM5+DySg60P3QXwce735lqNcc6vibEjYjnegIuoeVXUcijXNWQ9 +vuuQIvwH8dmC/0/yD4OfB8bNL2QcfAafJ/g+Rk6Db3N/DFuKeEliF6AjvavD +XggeCizWduw1+F7HJxs1Tm+Aaz2bVROc7KO/8Xx6A/dz/zL389BN5RpnY+BK +4u0mXhz7sqTVpNqqidfP3UXcqY8ZB+KiK7DeisnRCR5B9xf/38gE5ybyH+Vu +H/4d2N4R4y2zOAJfx0LTySaOiol9xbfaxLm4bw2t9kbOCXB1YLMURzXgKnwy +4AY4HSTWBDKN/wz+tfivJf83Z7pPnL+EZtPMPoP78d8UsZqzxGvGv5N6s/h/ +xD6B9CaMo3hoOZRrEt0c57eB7foudFlszejS//3F7X4kk7AaVEs7cjNqnNzC +33G+A+5GWsEpdLGY7XQZsZdwjnKOIO89m4lm04B9OfahpNWSpqf55GoPbZfF +sbjeCj+HYxbjA/dn1FPCelbvs6H1qp3Ubj4IbTYrqP9+aD2rF/XUElpO5d5M +vKXcz/dsN9WTetPMNXv9AfoLCjx763rDestrkEyecTpOvC7qS0fsD+n2rUf1 +Kg7ExULfdl07d5XzRd+47sH/km9/hP6KR8hJz96M3o5yKFfKt1r1hvSWCj3b +ZXEu7ls8474EWQBu8yy23vAI/A0E9lfoD9NfNpBvf4F2RLsizsW9ZtwW2h+l +v0o7OU2+U57VphloFtph7bJmMKDZBfZ2xcFo0v4s/V16w3rLFYHNQm+yCvwP +Zt66VQ== + "]]}]}, + {RGBColor[0.2607944475, 0.2865273075, 0.3089483275], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmgeQlVWWx7/XTdPNS/2+B8rqjo5IGgVtUBEBQXITlKDkoBLUKTGQRJwV +xQGRINASRpKCoOOqJNOOIiZQwZxnpzbozAhT5U4pajmW6zpVe378/11OVd+6 +593vxnNP+J9zu9XUGy+9oSJJktWVSRJ/yS3NkuTZpknSJpMkvXNJsjF+t0lU +bzBNze/vgz4Ugw8EfWKi+qD73NtMv6Gvj/qGKFWxwNPVop+KekbU10XJRvvu +avWjz+PVat9brf38Kkq5Uvu6xfRej6+OfS6s1LrsZXPU/xGlmFHN76tiD7ui +3h1lYaK2LVHmJPq2Kejprje7fUdO4/m+pkJjZwf9p2KS5GIff456cjZJ/tN8 +4Psezz+tSewrvp0e+1rXTPRNsZ+NOfVhvi+8/+Nnr4m5gr4y+jxu+pmgnwj6 +vhh7btBXRb0pSu/oP7iQJBdFfUIa80WfLVn1fywVPTS+d65NktGxz3OiLkS9 +Idp7xZgB8e38qCti/ztTzX9xtA2M0jXam0fbg1E2xHzv5ZOkPtoviPa50fZw +qnl+m+pMNT7j0NjDPbHnIVE3NBP9cfDh+Vj3N0Hvj3p9M9H0vyX4MD8nOfqb +7xh5+65ad03bzfH9WFZyVO95P7bs3Wu5alxvXEbzw+uO0X56hWh43rg27ex3 +vffwWDPdN3dNG98YMyon2UB+djZTP/q0qtC8bTPqB82c4+P35RnJ4Tfxu0/U +raKeEXXr6HMs6KeDviLKhUEPdf+zg24RpTX7jfK1xxzz/lt5/m1xT61iv93i +HrbF3p6M9vqMZHFaIrmdkNG6dUGv8rrtop4Uctg6xo4Jum3Uj0T72IxkfJNl ++2Dw59RoLwc9ICMZzEaZE+W0aD8t2r/j7mP8/ILk9mcVOu9lMf/DQV8WdH+f +sSYj+UWmkcmfV2ie1hmtc4rXWpQRfcTnvs48+SHu4X7L87yMvtE+Jkp9lEFR +Xoi5e8bY2+JbQ/BkSZRFOfFitPu2j/2eEmUK56lKkmZRxibSv2cqpKfNzXvu +i3vead283faCPk/ZLn1t+/CY7cDInPojG7Pdf1bUAzNaM5+RrqKn3P8NGfEN +GRgcpXuUHj5PN/9eHHu8NnjaqYnsITxh3aZRXx/lr4l4fI75XO15v0rE/xss +Y32DwaNjf73LGvfPsW4H1ot6gcdjZ/bW6L7PDH6fkdW+5not+q/0/X0e9KS4 +++viLLeHLDyTyiYdDPuwKuzLCyFDq2t1Ly/6bp6Pen+UM6Lfvqifi9IJu5oV +fUaFCt9+ldFeGM+dPuqxtCNHu6IMSTQ3fVgbu7fb7fR93nM+mDWd0VkZ2yjX +rIFsb85qPGORtScsq6z3bNB9o55omj2vintpWiN9mhr30jLozpbDvd4PMv94 +zU82/Am37/I+r/R8+zwnbXu8LnM87v5rm2j+NVF3ifr8GslD/6zocchMjWwi +9vBw3MuK2N95wf9pQS+IO8rE/bSxXb45I3vcYPvMb+r2bh/qedb4bJOwLXGv ++bxs9KdRPolyWayfi7aZednmF0pJ8mX0PxD1jdG2J9rmRcnm9RuauS/2/JN8 +r9+ia1Hv9B3dXK1z1sX6G+McJ9eIB5y1i887uEZnZh5sPWfHvv1PrH1S0J8W +xLN/8r2cbJp5GMd4bCg+jbXZCzLzqPdA/Zjpeq+FnQSHgDMabTY0Ogc24Ru+ ++7aSMMsZsYfvg0crotyKjMUdrMJnRz09vl8edKdK6Ri6Nsh2Cnqs6zNNn1Wl +secwf4yfEfXJUc9J5bvLUS+N0iHOt6+oNa/0uvOj/eqgf5+X/YHGBnXw/INt +5zuYpg0avbgi6gey2i86uj0rWf0xK71Fv/4t5n8o6HEF6dlDbn8yVf/R0d4/ +SpeYo120dY6z3JPV7245YSbw0qxUPHkr9nlN0JfEWXKpfD6yBp7cmmrs/VFP +iTlvjTnODnpC0NcGfVLQX8c9fBNleOz/jox+Q79VwOEnyfslyfW0at0/tgmZ +w85MLgk7XlorWaN9nPEq9hfbe0FJMrUkL3u82/KwJiPfQJ95+OaYZ2ytvu9x +H7Aufe7JCPPyG1kZWdI+juW15nyv+05Je3+lJD+Lft0Yv1+L36UY16UgH/KF +218uSQbrCsKSX1g+seFgKDBVQ+zpJXBYrfAV7aMzwln8Bku/UZAvf7ckzJap +EUb6oCT67fj+7yXZwN97L/C5Vczzx7jTurzkD3+Oj6cdPLzLvrLRnn5jP4l/ +nWV/OtsYZouxN7hrvfsje/B5grHN5PBnw2O9C6PeHvUDOWHqsvUCbHtpTr55 +XYXw0Wyvtcf4H//+mGu+TfR6vzCGmmAMtiQjDPYlMULo2NHgTxJ12wrZ0PbG +M7MyOi+yN8I0fADfgHPaxb5OjDI5Iz9KO7gjrRRuAhc9YfuPL7grytKMsN/t +lYppWgZ9AjggSrD9OJ6a47ENGdlEMBI2arzpBuNmvm2NeT4z5vnW9wHuubGk +bzcF39qAGSuEJTgf5zwrkR3YZ9+Kj8B29ouyJaca/Lohp/N9F/TyjOb6ylh0 +dUYY8u6Qj11VsoFj3d7OfVkLfnaOb+0rdBeco53bl7JWlJ5R+uQUl35Sqe/j +jX+4//WWmftzwnxgsIvjEnoho2X5HOw8dqBHSTaha9TzM1q3zvhxurE1PFuZ +SF7XxRxro9RHKZV1rz0KslUx5XF7NTPa3gc/+nyrfEZ0Dp1E7+DPiox4C57f +mlP/evsc+hMXVPm+vzRPwYqLo77TctXW8/Adv8TdY3NY/0nvAVsBJsQmtKuS +jeJMixzbEkeADcF7YExkc7Hnb20amcW+ou/ofV/rMfJzmfdD35U+L3cNL+db +p3o6h7A5o7hklfUL2UEWG+MfdIJzf266VSJ9PGZ6v2UQjHbE/KEfsWlX3/3w +2PigWK9LWTafe57kOdgf8xATwBtkY551p531aLz1+m7zFh63lBtJ4gjJ5ph7 +U5RhOek6Oo9ZOOCYFBlYah1uY94sNn+I6W7ynAstW8jVirApnwbdt1a8aGFd +h9932J7g916NPtlE+7rb8oPfxpdnvR7rEiOA2Vf6LogLaiw/Yzy2rfVuuecB +Jw9wP3IsSz1frkrxDLzCXw70Wn+1fSRmwUYusb1a4j1AE38QS/d2/Pdzx5Lj +zGv4jPw8/A/x4BHfKfVR3/EjtnWMbd4Yy2YUM7EP9kCMe7PPwr0c9Rz44d32 +ufua6mz4u+t9PsaTI2mIhabGRb7SVPEwe7qgSjZ6jmX78+SnuH6eZQb5nm99 +eLGpdJy4ifnneo37crKVq3Kyc21sV4c5flxbIZzciM27W+d7mLdtreN9vBY2 +CqwEL5Cn1eQ0mggrksOodh5jnPd5tu3GIp8BbNfJdha7/qzjLLAy9v1fMrKr +bWx7T68SRsIP4RvBO+gTPo2+39nOr7Sedc8J57WM76dVKR5BdofYFzEnckwb +OnUo1pxpPULXWAc9wm4hu9h24tUFlk/iKegh9t2/MP/BZjO8P/S42mPBX2AI +MFi+qWwi2AncRcyBXO913IlsY4u+8V2ja8vNf+R6iWUmTeWr+hTkTx51TNHa +/pU5HjVf+Z217oDtdzkWbNQ3anD4ycb5EwuS+xbWhVOMp5Dnpl6/m3XtS8v/ +cp8VmQEzfuHYZGRG+gBvkZ0+5hV2eIZlmD329T4POmfLHUwsCX9cU5Dutrb8 +NLV9auE7bGnb2MprHTH/GxplryTc++uod1bpLpDheutcY07qEdsHZGyN75Gc +Db6YOKkxx9HD9ph1kRNksJ/lkNgAWzm1IDw62TERMj7R5yQube0zMG6Sz97L +eRryJ3WVip/RxzdKwsmHS8LR6PmyaP8oq7zAxCaSR3IryCQ5EmITftc7l/ii +7RUxHzms5dG+LMqplZLBKZYP7nKw+z2YUw4aLLPfNnmUZWaw75qYccw/zAsN +frnTthW7emeMX+y8Ifcz0vYRvcO/EG+gO0N9X3eUFNsuKCk2zFpuBzmG5q6u +sG7Cqxk+Kzr6XKocTcdUfmaMbTLxDfpGzAMuGmt7zjzwnLENsdZ5ecWyxO4n +OZYHM/6lSrKDTR5nu9wjFe/fjbu+OlV7j6JiSOzj6+S5C7L3r5eUI6Edm0kc +BZb5WfTPRv/6aL8qlQ3gPriLLs671NnWshbn+Yz4M+a6MMYeSSUHR1PZFvLs +8ORIUTbmjThPVXw7QB7SsolNRG8GxuVMBk9G3Sl8/6gYWxf1x3nl+m9OFY8R +l70Z+x2dauzW+H5urd4YPnA8mPe6YL+WVbrr6qLo5dF/eqo8TE2qPDL3+FYq +PnJ2ZOXNvGKZa2JcVfQ9r0r5LnIHdVW6I/QVX4lPJL9KbA+egq/wBD71LiqW +HR57Pz/KFPI7JfEPfYGHLYuS/Z4F+S7yPvgfzsQ9cUe/S7XuidF3VlF9Zkb9 +kvNO5J/gI/4FWzCkoLzeo+QMHPMS+5KXwf8viv7LqsRPzkvMjI1cWNK+Jvl+ +GyxnnLFjUf2JjydFv5HkAYN+OdYYEXRV0CfE/Y0KuuzcG33YD1ibduKHSwrK +M+5Cxio1Fh8Ibu1QJR9Gzo7xo6IeFHNeHrIxOOrLyop1fhN7GV9WXDuxrAI9 +jFxvlC3odtRjysLaH+QV34CD0SPkAHn4IeZ/vqgc+PKi3lPI8x1/r4t1Pnes +yv1zd9jC/UXp4HNFvXfd4rebBtuWqV6bPQwtC/eB/7B7y4wDiev7lYUHB0Td +P9qmGCcMcPvlwadzyorxOpdlO0d5nh7k93Oy58g36xK/XFLWPIMKimkWeS2+ +3+m9Lfb7QL39DHLM/eLfwDf4u6QgnsAb8mrExQvtE8E/vDc1KSvG6xp1Whav +zi7r+yfug9ElD5gpC+MjB8gAuSHocVH3i7WuiP0MiT5v55V3mx338n4qzHpr +SbLzsMciU7dbzpEd7Ajy88uC1iaPhXywh/VF+U/sJZgnce7i5KJwH/YU//uA +35V4X9pl+0o75yZWZO/wA17Ah42pZLUFOlErvm0jH1xSH/KR42s1dne0Ny8K +102P+qKy8jK9oh5R1n32Kcu2drL/I54m7wmu5A0S3bgpVVwHjY6MS5UHHx/1 +vFSxH++T2F38NzaQPMAFjgd3pIr526fyUfhlfPRVfkftZduGD8O+XVRUH/KL +7Ota741+vY0PeIO92uPRUWwgtrB7QZjhrlrl1m7xO+bfs7Jd6+17sJFg+gnG +Ds2dx2TdW1Ph+PXG4bzZgZOQWWw99vGkovwGvIJnH7odnwBGACsQf7HXi3wu +crqXO6+7IBVG4T2Hc19n/81Y4qNRxiI5v5e9npcODYv+d8caz0WfFbXiDeeG +PwCyfY6tyLvknHvBN3RxvM29nuOY4QrvBQxN7FZnrIV8dfZdE58gr8gk/Fhr +ngyMs9fmtD7rZL1P9sc+D+eVq8Xm9S+Kf/hWdJ65pzv2IU6a5jsh57nfZycO +Jx6fVBb2BIPyTgpv9rkP9XOmeXfAxhI7jXX/Ma6zHvtyXm8L21Odgb5gT3BO +S79TEHMSe4LZwA3gh5FF8W+meXiq++Cnlxg/YuuwQ+1stycX1I6PXRdneTX6 +r426zr5nenyvrlGsy5pvp3ofqU419yueH1uMTf4K+1RUnPpj0K+WlA86GHUf ++3p8/khjnhfJqxWV6zoU/e9NlfvbEPWfU/l33qxY51WvNaIoW/Vu9H8tL0xK +LhyfjB9CRt6z/34txr6Z1VspOrolVQx8n3HccR+fkVwif8ghOgof+b2+Vvj9 +nbzsIji48e0AmljpPfPoD7HmRyXhoY9L8hlgptbeK3veURT2ZG2+8TY0w/+7 +MtlyT2xC/v96/9/Lmri7e5zT5Pxg0VZe/6jjYfQbfWE8PKizrowoCU8PK+n/ +UJBv7AS2vK3xOTYIW7Q06rEFvYk+ner/L9b7/zHAOswHPqcdHSDnD2+Icchj +zDXNXfLG+7xlHixJzoI1xhT0NvRUqr4vuf9dfpdHJ8EMG/x/MuRQ1zk//4e8 +fAE+gbZBbifHtt25fXz6Dvvujo4vnk2FAbY5d4osDLRN6GofvS1VbnWbx67O +KRezymP4hmx8mBduAUM96Hws/fFh+LLDqfJ+vDtgF8jZkLvh/QB8QozH/wAM +cm6Y85AT/tJ54SuL2t+UqA8VJCfEHOBafM+/pnrrRKaR52rr47RU7xvbvS5y +j2x/Gu1/TMVj9OyssrBRx7IwRXdjqm6mwUu9/f8A/cvCrGCIg6n4yxr4+eHO +a6LnyGd/z4MNIwbFjoFxwSWzQvYeirYWeb1HtLeffShVrgs+H88LOfdFvH1K +Ubj61KivKsgWYZN+7fzAR6ly8WDWbqWf3hiY51zjxfPKikuJTz9IhemWGO/V +OMZ5N+rPioqJjhZ1nw86ju7t9wPwMViJ343/20aeGvm833E3593qccgJbwg9 +Pba/dRe5gcc9zOezjQlfTyUnI81P3i96uf+C4Fmalzz+Dh7nZSc+TGVPsIXv +57UOWH6H949Mss/e3kNP74E9v+P3fjBInd87OkX9Gj4iL1wPn+6yzyjltY/V +nmOp98a3ZeZnL7ezDue41GfpZ9vFumBz+uMnqJebBheCD19JlYtHN84vC9PD +/1FlYUHmnFCWL8GnHIr66oKwLvkn9txgG9LN6yKTyOkm6+Ag25N6l7XWx5Gm +sSdgVrDFA6niZ+Lol1Kdf4NljLnXeP7Dzvn8KRUWB5PfXlLMD277ZSq93GTd +7O+x/dy22e28OW60fm2yPWPPF/ods2dZsQlnRJb/O8ptednL2rLi+WbBj/9N +RdPGmzF5lH1+h//R7+/4wL87F3xmWbED/7fVoiy81Lws+wgNbptbENbnDXBR +QTJCruJvUf4S83ybKiY85rd4+NPN904c9r1za/yPIO8s3UvKt3WzLhAnE7cc +iHn+Ly/ZOY4jLE/cEWf9r5zOO9x8427n2U5jN7Alq31H/G/jD/7fsGH2g5dG +/f9udcz7 + "]], PolygonBox[CompressedData[" +1:eJwtl3eMVVUQxs/y9rHw3rvv3XuFIEaJEkUR6YjoCogSQYrUVUBWpRs1yloQ +Eym2KKAUFUWKdLBgiAVBUClSpUhVEgugQqJ/oDHG2OPv4+OPSb45M3dmzjlz +ZuZeNPz+/vfVCiHshsqhxUkIzbIhXJUJ4cYohGHwW8CNCiGMSkMYVAphEXwT +dAaDj6NzXp0QXoWvKYYwjbUNtUNYD00FL+H7pmUhrEJnKXhrHEIf+F8rQtgG +7o/OZOw15vsB4HOx0Ri+DP2DyL+AaoOnI9+Hry3E0RxcnSc+4vkR+bl1HINi +eQwfd/P9vdAE8EBoAvhCvqkCH4TewXdPYtgPfh9amgvhHyiDvQx8e2x1hR8E +bkg8I8odk2J7nbWW2OoMfxP+1sN35AA38s0G8N7IsX/M/p9nP8fgG9ZxjIq1 +DB9/YHsk8Q9G1hWbrYN1fkJ+CBpa7j1/CR6JfCyxnmRtFLgT1CN4j53B66Fm +yNbpErHXCL4D8c2EDsBPwsZq9ptFfyJ4K+fXGtnt+O9OLJMSn9U9koPH8H0N +/rYR/0vE/zT6rTC9hJjfQ57APwHN4fsZ0C/g6/A9FTwMe82ga8B3QDfgvwZ5 +HnoE/pW67Af5YvAxvpmGr8+x2Yu9Xoz/feDuyjnkXaG26L7L2mJ83wHtxc5u +5APY7xT2sJ/9VEWObQM2Lke3ULBP+RqPjVr4aJ/xHrSXlazFBcc+HarBxsCs +c3octr5lrTPy09gcAL3AGWzlLCqwvx95JdQE3R+hhPgeRPeBgn09Co3VeUA/ +57znluAWUDX8nVB94mmQ8R578/0eYr5IuYT9vYlzQrlRCTVHvpNvh3MfT+tM +4T9MnGttWVsHrsTeoKzv/IKifR/LO3bFUA9+BXx99k8anHmTepsBG3vwtQN5 +FbY2sTYL2V/YbKDc4X7+BK9BfiT4jkbCv1hybuhMdDYxa62I/3Z81ST2leOb +cWd9KlfWgqvLnDOzifHbjN/8XfgfkXjv8iFfyxPXijnoLwM/BHXI+A4fTHyW +32Dnq7o+03bwx/M+22lQA/jtedcs+dxTcGzKIeVSG2KuIvbh5FALcEe9GXSf +kQ3O93P425AN4Qy+R78dOtOyrgGHIr9pve1PoOkl1yTVpsPY/wH979hfHtkl +2FwC7oLNjcRRhf3rU79JvU3F0Jrv27PWPW+do8RaP3FtGY298eCxRdfWf+FP +I9+UuJY9phzC1j+svchd9VfeYmsZ+quQn4I+An9RsK250Bt8ezJxrNpjpWo7 +1C/rGjkCe+fzTZxxDdjNtyfhC8R6P/wP4AcSv8XWyn/wAmgGfBv4S8BzoOdy +zgnlxl2Jz7I3/saoHhNjl7xzYAB4AjbfzvqbV5RLrHVCPg9/B/D/G2unkM2E +rie+NfDLcu4pm5F3RL9P3mfwN/zg5GztJp+6YLtd6loyH/1DyLcm7jWTdMbY +exN+Xs41VbV1Z+LethD5Q8ivg6LaPoPvi84R5Yre5K6Ca55qn3KoGt0hqe/i +JeIZLN+p71418gbwIt0puldCXdGfWnTtVk1UbdQb11t/j7Vr1VuLrv3qmdvx +d1Pq2n0p36fgHqlrrWqKaku31L1RNSoGX5G6lqgmqzafA5XUO6EvC7YhW1qr +l/pN6G0MZL+tSu6J6o3LoQ+IvRb8X+D50FvwG4rONd2h7vJT1vqCJ2JzFPEv +ZW1WmXNSuXlz6rNRzvdJHYNieQr5ncgPFnz3ypE2yIem7hW64+rUb0BvQTk3 +H1+r867pquWqOT1T37VyqBd4RslvdSBro7G/Qjma853qbrtEzmXNPK8im0w/ +yGU8IzwOfjJ271wD/5TmFWh8hXt+v9gzhGYJ9dgD4BPQ7xWuqcfBw4re2258 +rsfXgdi1N1VNg98V+W2oxnyH/sORc089fSy6c1mbnvPMo9mnKfy7fP8aa70j +vzm9PenMA9eNXLuVY+Xs/z/1vFrumVcU3SPVKzXz3ILuxthv+zQxbwK/XHIv +mMLabPDhxHvXHR5KXNNU29SzFqv3RM6Nj7HZDPkoqFu5e9Jo8NXYHFHhGacD ++O3EsSuHlEstlLNZ18wT4F2xz0Zn+Bl4V+Jeq3r+ZGQf8qUacCt8PfhOGd/p +StmGZuU842jWaZL4rWltoWa3knNbPuVbOaHc0Mz6HLJnS55FWkJTwI9oTzn7 +kK+ekXN/NTFcBn9b5NlJM+Fa+PHwKzOeKeqzv08L7tUL+GYV8h2xZ1/V2O3g +XpFlulPd7Tb02/FtFv5w7Jqt2q0YjiC7JnZv1JlW6r4S9z3NlAF/V7I2rMI2 +ZGt45F6hN7k5ccyK/UzNi1xjVGvU8ys4iyOxfWsG1SyqmjvzbG+Vr2OJZy/d +8Y7IZ6Szks/26D+c+N9BPXtc4pxX7mum1my9JXau6Y1tBo+JXIvVg4bq3yB2 +7dYb6ws+Gnv2Ug4rl7/Oe+Z69OwM8D/iM5s6 + "]]}]}, + {RGBColor[0.2927161025, 0.32223204250000004`, 0.3451746225], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNm3e01dWdxe+9r/Levffd31UythljVhQFNYBIUzQgYBcjNqLJBEEQQbDF +scYKmNgbTbGjIJo4mmgQNQIqYBtji86aWUlULJkxmmRMYp/9YW+X+eO3znnn +nn6+ZX/3OW+bY2YdMrNSKpX+q7VUalG6f3epdHVXqbSnCld1lEofqrC7XCqN +rrn85qJUukZpo61UWq46kztLpW17lUpnqM6z7aVSH+WfUfqEyh9Tvqo+j0md +iUoHqZ+L1f469fOayrbR11ttr1XZ8fp9U413k/5eo3Sg2r6g/Haq83zZdb+R ++nMapdJvVedy9TdVc/5Bt9tM63Q/16rO/YXnOVuTGKbfCuXvrnh+9Hmj+j9M +ZS/rt1eUn9Tpud6lOq+p/Usqn6r0bX7Xd5zyqzTPWWnTrJdKOyj/WNX1X0k/ +M9XHdH29VFZvd/sd9f1E8zlH7S8pPH6frGup6pZ7ec/p96X001D/fdT/w+r/ +cKUvpnzLVo+7hdKdtP7z1efl6nN2q+c4ouR9ZC/+ovxUpcd1+ry+rnFe1bef +8kcoXazy3dXm98q/rm9h2f0wf/o6pstt2c+91ef2+h5VfmC7++EsSF9Lfpvk +Gecx/f06+650cOH8VZrvrZ0e62+a23FtPsdPlF+hcWsqP1/5+ZpfVfnH1ba9 +y+U7tLrd79N2N/02Sd8W+kaqz9+o/NtKV+vvX6j9qSX//YrKH1bZo5LnRyLT +nNfU7NWPNLdZGuNcpVM6vV/XlL3uqVk75dOSv1ayt1r9XNVw3y+n/8sbHuNS +pW9rXSv1/Uxf7y7X26PidVSzxktb3LZW9u+/SZ3ePVqb9ncTpYvUfqHWPV/f +c23e36eZu357Su3naD9nq/wg/f6R+lyv3xapjytKHou9Y7y2LufZwz5d/ps8 +aWuX9/l6zX2B2l5echvOgHkO6XR+nr5Z0rNj9B3c6roL9S1WnRtI9X2t7L0Y +p997ym5D26by03r5b+Z2Q8ntafuOxn9ZX6fGea7sfii/vuJ+lys/BR1iL5We +orSq/sfpt0O0T3PaPN4G7Xtv9fGW0gObpdLO1JcOPS79GaR+b9T5rla+L3uk +fN9Wr6Ohv2doTaP0devvN9THp5rrhyWvj/3ctPwPc1K6e4vr7qy/70o587xd +/T+ocedo3DfVz2e93N/irIU+FmXfrih9dTaPx36MbLWOI+dvRB83a7EdGFqx +nJcjJxs6PcZpFaf8vazV+TdSzvj8vVTlv+1yHcqXqL/t9d1Xtp1epU/LL+0o +eTpP9S7T/kxvs4yhv6/FbqDXF6mvC/VNK1sWKRuq9MlO94Ptfws7hQziU3os +u4u1J9M7PDf29u/IQ6t1rUXjDVD+ITWY1WkbumWL9Q+7RZ1W1RmoOkcrnV+2 +LZ+ndIDqvKuvf6fnS50nyvY9zGGLkm3/cS1uc6jmc4/Sw5Q+rDm9oN9ur1uO +hkdu16TPzdR2r4p1BDnBnxzb4jmdo7Wc3eG+LlPdS/W9o982k+y9p3RBzXZ0 +RmzpoHaX36r87pwVcoMs1WxX/1XtbtPa5mmsW5Ue3nDfX2ght6j+zbHVl/Sy +vCF3m+nv4foeUv6AHtvgC5Teq/Rn2F2V7626Q5TfRN9QjbW1xppZWJ8Ya3iL +ZRPdRYa7W9zn3cqfUrGeDSvbh+Mf8fWNwv5ygdJKxtq+5JSxS/pq+n2N9mf/ +ktPVyS9Tm58j71rXcqU/1bdz2ftH/9jlG1X3TO3Xu8h23X50Q92/T8ocJmid +Z6n8yB7XJY/tuid97qr8efER+IoZ8cuMzZ7eE1k4Q2UHarwHVP497c9JWv9E +ncXimn3FNTqHhv6uSkH2plx1fwiGCf45Nrhlx7Ltwccat7/Sb1WMYe7U73fo +61exv72h0+e1o/7eSV8/tTtB/e3S4r+xLTun7bdrxg53FNavtZ3W03/vcv5J +bJN+O0H5f1M6V/I7p9V+baTmPUNz3Uvpu/quxQaovw+Q5W7v7YVttoP4gk/V +5mbOOZhtYs5iepfnxXx7N9329JrXPTlnsV77uYPm+QP9fq1+G6Kz6NHejlab +wWXbEPznlGCSpurV1c++TY8zOeWTuzwOvuyXmvN/IFfq5xr1OVh9/nfhvQRD +9FW9ovA8Tlb61y7brgHx19gW+mTf70j9BUrPVZ0hJdvdPvF/q3L+yOcZ7ZYn +ZAk7NzFzw1fjs/Fvbyr/kNIVZfsBfMcf9NtBGuPkinWH819c9jliV8BD2JZH +4iPJj0v9YcEbYOsvcRoYDbv6YNlzA4cPbHqsF6rGPb9U30+CXZHHLuOTXbVf +EzT/wUq3LSx/i5Wur1jmwU6c9UVa83ZKR+F3WjzOkMK+dZn2++ftxpobgl/f +Dgae0uEysOuL0a8n1M80zWtdm/fhlMLY8dTCvu5L/zlCv/1PMH5P3fZwvsZa +2247/E7w7zvB3tjK/w0+XK06J7Z5HugH46Brx3c7BqDfflrrJS3GVJzjgvjr +HXuMFXbqsa7MiB2ogY/0rSgZr01qN+ah//7RwQEqG6fvqcgiMllVOrZivAW2 +AeM8njy6vGvV+sz4Z0SWiGXYM84a2ZwSnLlI6x+uOk31uVxzOLXdOrhJcOA/ +KR3f4/JDlP5Gfa/Enjfd3ymRn/c6PRbrxQ8+Eb3bTH1+p90YaaHO4zLNb2T0 +lzy2a1HWwjmtKltWaYtu7JW1gZ1XRA5r2u/d9S1SflTNa/0/9b1vxRiOfuYX +jqXO0Tn36/Ec+ip9VvN5suz5IY/4UGTyhsK6+seq/Trle6r8e6p/hvIntLjs +nJSz7i2CA5eAOaQztyvtqNuf4lf/WDPu+UB9/wlAoDlvoX37qJfxB7hoYKcx +xLr0893oNvYCO8PcPlL7v6ifjwv7gds6jSPHxMZia/F/mwdvHNxt20pMM7bF +fXJmfYNJtsL3q49F+oaWHMNdn/w88HanbdQeSif08j7jO4jZtip7/AnBhwuV +b03fy9RPf407s8U44dJelgfwwiXJf646dxHHxs/h7z6o+m/a7a66O2QdzHVM +i/eecuQTH4He3Zz5gEnAmZ8G696lvz/X731Knuet2SvqH6k6N3X6zE5psZ0E +t22e+q9iD1U+quKzurDL9SYpfzj+Qvm5HdYF5jI1PmVjvA+WUdn5LY4R18fW +HVuzv1xT2D/gA/AR7P3C7HlNv3WoXV/VbW9xH2CnWf9gk+YVlnPkndjqisSk +a+KHWcNhDcvn+IbPnzrIANhpcnzqJHBUL9tf1sn+71p23H182bwBPnm7xGgT +Nd49yj9W2B6Ab+4u+8yRFc7qbKW7qs/hFdswxsSODVV+qerdqe/M1AHv3A6G +Vp9LCvsQsCh4cpLG+pnKVxfW/e2Ce/dV+ULllwbvzYt8TlH5fcQvhW3zxvil +xe36ZP6/LCyXKwrv96LI64hOyydYeEnZPgl/BPY8PT50fdYLlnuq3X8TB4Hv +lqccPIVubBWMh33HX22N/dH4c5UeUHGf4OXpiS+w//g99uWB7M8ZyV+g7xB9 +9fA5s1IfnMp8vig5PuE3zou9mZWY5RtpSwwErjwjdTgDzmJQyXpzc+Z8ZPLr +Sp7jVVk7ZbekfLb6vzG4kbXemFiA9ujT2pLPljUgAytynuD5O1Rnmb6d2K+K +58Ecdsp8Psu47PtmKVuWOuB49BndXJ48e35X9h89Pzpx2TTZ9l9VjRsuUv7I +xHTEdsRdxF/Y1IltxqL8vZPszzSlE2qOq6bCMVWsN7XozkHZE85wZrgH9IO5 +cvas9YHCbVualids3V2xpcgrOoLuTgvGpu6UjAXeOjZ54hfWjC0n/sZ+YWP7 +Fq5zWM22cFbs4aZd9jngDfAs/gOuAZ8yqsvx42GF84cWxjiXJU4k3iGPj/zy +bzAPMTxyu0dw+KWpg3+jf3wTHOotkQHO/KycO3bgnMghnNY5KcffLUufd3S5 +PrKPbJ4d+aTv2zP/c1JOW/zSBcHVyPXJ0Yvbgs/AZvCa2ExsJ9wbdhz+bXaH +7R22jt/hG7Cr4GhwCTi4n85sEBhT6U3YCo23XWFceV6wJWdGHWIlfDX2E399 +UuJQ4tGLq8YFhzY8HnWwJ6STUv/64GFw8SHR87dV50W1HaPzG9Q0vwl+mFIy +n7Spvh8TI6nNXio/QDIwusW4Gcy8VYvLyZOOTn554Xyl6TPDj4KfLlV5U2tv +0SaOrZn7vkVl7+jbVOVtKn9V89lX8xncNC/AfNap7NesUeX9VXZkt30lez0j +Ng98juzQD2c9sM1xGf7ljbrrEFPOb/OaiBUP6rCdwvdA2GzQbw/V7c8/C0YC +r4KX6BOMAMZg3cQBxAhgse/oW1s21wDvCddHjIxefdLLWHeVzuYDuICGY0Xm +NqJmudsQLhQMT3zFXlH2ZsrvLjzumqr1Ev28Ne3eCmbDl7Jm1ku7DSlnnL3D +XYORwcrvZl6fZo34I8rBSCcU5kHqSj/uZf1ZGm7t4+QPrphrJr7l94+jY9OD +JcAUyCw8JHK7NHvIPvw9fbKf+Mq+4SH7xOfie+9MXE98v1VkCuyN7p4Z/WXu +n4Sr/M8O3wtwHvBjYGjKwZ5gUPYBLI39GhP7Rb/0CfcLPwsnCX9XDf5jP0Zk +r+CL4Ip65/yRddpzzrS9LvYH24M9oez4lGM75sfvH6/1bK46Q3Tub2ug93Qe +D/bYNsB1fqvs/aNOf2w8/KHqLFZ6VJu5UOrtJfk5QjowummcWrX4lm7o8Lis +iVjw0sSDz2vcx7SvLxTmaLE//FaCC9PcPpVMnqoOVqjOOpVdqPzDyq9X/say +Y3l4iR5iAOyr0hcL3wm9VFhfwaf7tNi2YFfAAMg/e8ZZ8Bt1kJtPqo4TRjSN +ia4PLmXu0zJ/MCPxGfzDiYW5Ozi8CU37wu82va8LgsdOL4xDehe2Z8TExNx7 +htvePfI4IrYUX8qckD3knf7BAdylUZf4Fz7v/rLP5SOt9VjNa7cWywIpsgan +gk1jDg8GV4Gjts9Z3Zc+7o39p92wtJ3cYX52WGRreMq/32Z5HRs5aA8mPw6+ +QOXXyUa9rHVuofyV2ssrVf6i8vWer8ajPvqwRWwU9uKOxCPjm+YsDm1ad9Ft +9Pe+Dt8Lvpi94KzBXRv5tmD9auH5TCvM7TAHYuYFmtNT3NnUvR/IMXtCuycS +5xDPdCf2wRYeHtx8RWE/u3PN/NMZ4T/hHoaEf0AnwTLgk3lt5vvg4zdPWZ/E +bH1TDwx5U3AmfNGW+h4M3gcngZGw1dzxoMdDKsZ2YCD0njpw1CfUrEtn1n1f +uSw44TvSmTO1hkOUDu02t0h97PnS1KEfylnLezX7J7B5vcv4bSNu5/dwfy9V +Hd8cVzd2XRIsil/AJ0wo+QzvzDki48grnNLrNd+XbVUYbwzPHceYuttd1vAd +yO+6fNbbF/bj+9eMK4hFwQzL47ew1fQ3uM33HX8q3Pb92lc2lDmdXPdd3fn6 +/et1j7u10kEVzx+c/IeGse/ouuV9Yu4kngFXhSPbQ78drfK7CvtSfCqc0si6 +9WFCYblEPrknAhuPD/+zpX5boLn+vmYe5pDwh2Dw70ePwNEHJb7ABuHDGtHT +o760qxWX49f2zHyY1/i05Z6AvtDNMcFB1EHn9+w0ZwFf8euy22ysH3wANuAe +mLsl+CV4M2TvfM3nzIbLZ9c8z9OD+cHklS/tRuQYzhOeEl2CS0B/Ds+e7F93 +fLZpjzm9oZ2WcWIQ4g/8IrYQ/nDnjD80cxhQMb9BLArvyP00+JY1MBfiqbkN +l1+keQ7SWAeA5Wq2E+SxFdi+A3Pfwf0vcQL8MXKxJDLJPR73edz749Nndhlv +oxPENvRDjI7NxV7in/BTnzf81gIeFv4PnUQ3Z9ZsD8B2c4JP9sr5YptGVsw5 +L4tu7hmcPipYHV/K3+D3l6uOd7mrGZk6YCp4QPq8oOR3FdyHVerGsti71rr1 +eHp0udR03AV3Arc/I+X0MSb9IBdjI+efBFuhd6NTBzkEzy5I/ML5cE67KH9V +YY7oSt5WFN7Ds6MH6CP35uBp2r9P3cLl6CuxCzEM/Qys+G/yvbQPX6ifP3f5 +zcuy7NWnsfWfFJ7X6Mx/B53HOJ3FN2uOFQ4OliY9KPlnq74nua+wLRwRu0qc +fUfs23U1320fVfdbAGSDe17uC3jH8HBk6qDIFb9TTpwCTtkzeodcIp/j6+YI +90gMC9cyIvh2ScZFzo9Pv2C2J7Lv6CbrH5n+0Ul085XCbw04S7AQsTf8ORwS +Phg/+BmxWKv9E74J2RkZGXtJ/UxR2Wvas88atsnYZtY0LutC1sEY4IHdGs4P +b9jmjAmOfSvY/vbEpn9NfLpp7pW4XwL/9+v8KqZAd9ATUv5mbPg47niIu7mH +GRfbiPyekHsv+Gh46RPr5p6GVYyFNspg5HBy07bmJ3XbEvLYkwPCOS2P3MJZ +wu3jM/AdYO/1bZY/eBh8KdwCGB2MQ324VvR5du71dsrYnN3ZGm+Z6nxR81wG +Zj7EAZSDe+jz8/C9yBIxEGfKWyrek3A3jxw9knKwBmXgDXSecuwGXAX8BVzE +C7HvvKEiBgRbPR+MCIYAP8BHEQ/AMWyWNxrIMH3zboD+T6v5rvekRvx8xbrA +O4LH8pZgh8RtzOV3NXNH3GcOzP6zH+gLb2hYx3nRf/whb0p4W4LMcg/B3FfW +fU+1NnuLX78wd4VDcr5wXHBlT7eZL0MW8R/g0pVV+xf8DD4Inho/NDX9cEa8 +9+AeBL/R2rQ96aW5v6F5b6I5vd4wX/p+h30XukYd7MxjDZf/Smmtx2+tunvs +ew+IPx0Ze8y5oE/Htjo+4Y6U+xX0eGbiM+SMWB/bhK7DkcF//bwwrmE+6OvS +LnNG+CA4AHwmsduHVb8ZGd2wbA+JP+UOh7F4V4AvXZf95FyQaezpLfpuL/tu +HA778U5zYmBk6iDzc8PTnlY3B4X+rsxeXpT93DG2Gl+Mn+Cuilj1meSvLHk+ +68q2yZzbizk79gr/h/1BZp+L3GJveKOAzeE93gspBwOuCVZfUnc/xBY31vyO +4eqG34ugC7fVjZeHRGYYZ1XG2idxHv4XWRpcMX/MGxgwCFwV9hI8RLt9w53R +hm9N2b5vTf6mT871yawR+/p6YoDFiZFXNPz+cVriRvgg3rqxh9j1J9K2PW/A +eH+0Nn6d8qXhAPcIVmMszrdo+s5vt5rvQja+dyx5v9em7ePJcz5wM6+Hn4Ev +JB6GF4fT4854y+zTmqwLHX0hegpfBm92T+H1Uw9/dFnNbwV5+8k5cl7g3p1j +N8DY7PGusSFwRNXcUWJrno6cPFu23JC/NG/2rsw93vTcLdKulraDcnb0eXFk +EpvBu5qn0g/yxrjYhd6JX4n30aO3o0u8GdkQnXou9hNdvqzbdoq185bv4w7n +uW8Ei/w5erMmusM6ns24vCFFdnnTit0aGjlcG13gDOFLujr9G5hzac6X/h5P +PHtb9BTf8XnwAXHQsw3P55mGZZb9+TB6xxyILxibtwrci28a/eKuf332mbJt +8naMufNO4Zi8VZij9G9d5rF5XzYwfe3SNEexT83cxYzwF7xrYI+wd8gT/Aqc +z/LIAXMHX8JtgE+w8dwX4kd5Z8B7A95nHa31zFH51JrvLFkXNu7X4YjgiibB +rfDesWlM/X677Sh2Ab9ELA7Hcnx4lhU9rvOO7OW2NeO/vg3v75OxJ7PDuWKH +waYLI0vEq+QvUHp1zTaBN7PwrvNThzdQq/OemHsMuEXwCTxZezgSPmIlOAc4 ++fvDyy9IP3uEF6AOfME3NdcV3caH3FeO7zYXyb0nbzK4l9iz6fJPq+bz4da3 +TWzyJQ80JdwNMfO8zBd/yhuYHWO3t6zb37xb+L6HNZSb5ubpF36efZyat9zj +mn5relDTPBV5bCpxFPEUuA7ObVJ4NzACWAW/eGDN/CScPfMFK20bXoK2yP+x +6vdQ5ScW5g7g+JCbKxp+98X7LzAy+IL2zIl35vBiY5vmHnhPOiLcA21Zx5ys +BR4G+eSunzvZE7t9nwVvNyv3WIxJW3i27zVd5+imdfGW6CP6h43AJuxVyz1I +uM8jE7MxztsZa2AwEb61T/QZXeaednbO7oCm17K/0n2a5ml4J8t9Ahw6mB0O +Cb4WeYEXGBrcOy+xGv73msI6PLDm+6i5Xb6v5B0nvMPEujkOMBsYmntCMAp+ +6KS6y8F0W8Phaj7/0vQ7TPLEWtgcYnbu8cFYxHpwZ8SJyBq2aGnNOIy3S5fU +jb3B4/0Tk8PXjmrYrnNHtFx70L/dfm1lzXPibSl8NLo0Q/l17X6TA364tvC6 +dqnZVl0ce4UfmBt8wp0wd/PY/0J2YJjyC2u+S+UOnrOgv6Hpk3RYyrkvhbuH +pxyf9wNHKD244Xcv4xqWhZsjD+xnv3AZX+sxVwZn1q+wHh5Zs2/qH86Qu+I5 +mfOiun3V9XXL1Pz4nl2DTb5InMJ4HweHY7u642vgHcD53KFjy3oFt/A2A+wy +qun8yKbfBxGX4kNnhj/8omE8tS77gF96Knf67CH3+6wHOw3/AoZ8JXgDLDMh +d7KLUvep1Kc9f+P7FmlPnmb/e2zz5sXudfX4LdfFNfsYfA0+i30akL3avOl3 +ulfUjE/JMwd4He7g4WQWhadHN1blXSv2gnRVYljm9XTmBueN3hATPZA2xH3g +tWczB+aDHwV/Ypepi+7y+zOp82Ribe76OZ8dc0aU8RsxOBhgSPSUeP+SvK/4 +UcO89rlKz+d9sPo8r8dvhXkz/GjVWP7e6MXi2EPsEjz6fVnDysJvhx4qXAf7 +jm0f2jCPP6zh+9YB4VGxr9tVzU2sqvoO6ReF2/WPb8D3zoj/BTvAXbIP8Jfk +wQ/wOksTm/TL3PDvvAO5J74fLmVp7PWGbr/BI4ZfpfF+Cuao2a7elr3jnog7 +Ft7mgYOog6/mTSCcNPtMzMx6iaXO19ruV/3zlD7IPbLKj6r5rpw8917gW7At +HCXYfH7wOe+reYMFLoITBfuBXd/QPF/vNt/Ae/MBwXhg+EnBSJQNTDl3PfNy +j8b/CuGnweOcPWPC7YORF8fnwksiu1fnLQYcysrs8f7ZZziePyf23C/l4LpX +C/NR8FL75zfqg9MnB6tvvFdpM29yWuE5/zBvPnn7iI+YV7Mun1X3+z1sOvb8 +L+HY4BzANMTDr6Qe9et1yxDxGLqA3+4d34192ycxyiNV89dF3f/vwf3WftLj +uTXb+rMaftPEHq6LXaQ9cr5P+royeHVs8nAJvcPZjs1YlP+g7v3jDSZvVMBM +OyT+Bpcik8Tx/B8d+wnngT8jTn83GJ71IPs7R/6xz7zpwbbAD8ITPlM1p85b +DXj1juC7IYlfwNGcEf87M7zq+AlOiTea8FqkjyYPT7wyb3b3j07Rdib6UbX9 +/3HDdS5u+G7hgQ7L19Ae8wvwdqu1pn+u+l0d943zYwfR02cyH2RvSrgI7FIt +9mp23Xs0RP0dnrc+vKk5Lv/HxP8zEa8Qb3KmcHHwHegIfDh3RXCN3eFDDuyx +zX0ktvSImn0fPpA1sS+daVdLW3D3j4O9v5u3NJzl8U3vxfeVXtTw2i9Uuq3K +nu82f7pfzfcc3Bf1V/mb3eayubsmDicuxJ7wvwHEd9zh3pA8MS4xLLEsfNWA +4DP2iD1BZpCvsZHnwekPDD1MY22j79x230vfEHuFbmG70C/uJe/tso/mDgQb +xR3Rxpg1fp17vhXxESc28j8MNd8DUobdYJ/qsX3cA1dz/0msgOxx/wKXST/w +me9pwKFV24Onuz1X5gk3Dr/Pev8fdTMXOA== + "]], PolygonBox[CompressedData[" +1:eJwlmHfQVeURxg98fB+X+91z7j0HUIFJUANK702KSEd6L1IivTcFohQBkSIE +CEU6qLFQFGPEUIRQxESKWCAwJjMZIkXFkYCTYEYFye+Z54+du/vuvrv7lrP7 +vPe+oZN6TCwaBEHTIkFQjN8NYRA8VBAEjaBcNghuIb+WHwSNoXujIJibC4Ld +xYOgD3JNdPuweZ6J17HfDz8I/SL0H6Ifjf5dqCz6HcizmN8Q/UN5QTACmybw +X2c8dx36ieifZewc+j3on4OfDZ3Nc8x58Afx1xX72lCaeBugU/AnofXwjXP2 +/UM6CD7F92LkA8gjoa7MvRM6l8pQQrzfxEEwIUWerP8c9p9AH+JrEvpu6E8i +v48cQZeRu+BvAvk8jb9u8OuIeRzdWexfQ78Ff9vwV5VN3Qw/P+e19FZM5Z7z +3EHIj2Bfmfld2Z/u+KgK3xr9dOaOx6YNfAFzjiMvRB6IvBq6Sfz3kdfAzyPG +Rnytx8dc+CpZ+7qHsaXkPpoYbxbxHm1E92fkr9BdgQJ8T4O24GszNAl/pbC5 +g6oJ9qXhl2B/IN9zNPdLfF6EXwtNQF7B/HrYnkBeh7yeHIax/p3kvA6+gtaM +7y5QJfy/gs2ZfO+x9noZY/2Jdwj9cvgO6G8HvoMx8UeFXvsCaAD6+YxdyfOZ +Po+8OPRdqAWVQJeBPmG9dZBD+CfIYQT5PM3YaeKtxf9x4o8pDIKeCX4i56qc +DsL3wmdz4s/WmcE3xMcI9nYk1Ah+uux1n6Fvid0Un5fwNY77dhX6gHjv8FsR +Hy+hawxdQ3+GsXPQY8SciFyF+Q/DV9f9Qj5BDl+UwI75R9K+87r7v0B/Cv2c +Ats0Y0435P3Mbwp/DPs/Yv9XdPnk8zfko2l/Q/qWhmKzDvtl0Cnk4+j3o19O +fm/huzX6vuj+xPxH4AcrP8ZT7Fkl+L2s+RqxFxNvD3yvxHv3Df5rw5fE31hs +1+CzLfGLINdB/gPyMOTf5Xy2urMr4KdAW5GvEi9Bvxy6gG40+78I3Q7kDLGe +RP4cXzWhD1Ne4wh0M7F5g/klOc9OnEXPyHO/xcda9A3I6VHya49cH34O9u8U +937Ogt+Fv9bwraDO2F8u9Bnq7MZD+7H5uMB3aB/8c6z53QLfOd29zlnfrdKK +Lx3+RqmeQX3w1wyqDF+HnO4mtyr46Eb8UqzhMnx72aCvgb4z+f2K+VvRLSB2 +bXS98bmrqM+6D/xy9PPQNeK8FpHnEmgkfCV8FMf/C+gXo/8fdAf+Pmg9/uYi +V1PtyNi2HdQFuR80Ms8578F2WWzb76Gf4YviM0duq5HbYDuGsQJsy0Bj4ZdC +s9Mey8BPgjLw5aHJsWMolvbgBLE3sYbTBd7TzfCdQu99LWK8qXqFXBw5Qf4t +8t1Z1x7VrLvgE8ZGs56hxHwSfmps/gWoHXOrsYf1mD8Gqg5/P/pNKe9ZdfTF +Ivueg1xVsXOurfrGW8L3Dn12WvNu5l6JXOurMXYJ/ovQtbUU+q/1bUK78HUP +81/Utxv7rqtGq1bvL/Q3rW95A2toR04Zfe/wbeFXYnMR32Xxdy52zVLt0p1e +hO4EYwfx15Q5NbB/IXIvVc1S7Yoi3/VrUDZyzVXtPakeELmGq5brG5+Kv0fx +EeGrHvHbw3+P/xu6T8oJOUv8hgXuqeqtK3PuLcegrcg1sP8g5TUPQU7UYwvc +89T7mmnP0F9A/2/VanLYq7Mkv7bwgxl7Ar4f8doQ7wZ7MyXPY9JtiJy7ar5q +/yboVL570AHtL/ncIJcWnMEh+LK6f8SbRLxn4OfE5rdDA/H3EvIq+I7Ea0i8 +Z5E3FHOPnA//JT5Kp4xZhF0mR+7Va5CnwF8IzQ/B/htsV+W8FyFzzqP7Jz4a +sPY62BwI3ZPUm1TzRyK/F7m3TkNejO2AyLVMGEhY6FjGd38H+n06a+QHkQdA +zSLXDNUO7dEg7H/E5j9pf/P69stHxmK7GfsLuihr7KE924juSMbY5h/ktJPc +9seONRF/1eAbod/H3gxPuyeJr5Vx7dPYReQr0IS0e9qn8BUyvssPswcPwFfM +mG+eMsYQ1tCZvwpfgRgvp1yT6uk+MBajG04+jYT9cuaFAYUFhYmEjVSjn9FZ +x75LwkA3M8aYwpq6A0dzxkzCToOhFpH3THtXSfgE+yOKCd9D33DWGEVYRT3s +q4wxprCmMIywjDCesJ565llid0eenG/MJ+zXOvJd0Bq0ll8jz893D/4J+TDx +FiD3x74+8X4mx2opY5rb8AvRn2St47CZgVyPO9mm0D2gbmJMJGykHlFRa2Vs +PPrm0Gf47448Cn4s1Bt+ADSp0Biif2IMICwwGXkQfBdoaKFtZKserl4uDDAs +sQ/5Ug5n8d8hcS9SDW1F/FuM9Sz0GrVWfbP6doURWiXGLMIusmmeGDMIO/RB +bgnfIjE/DOqWGHMIe/zI+k7DD0yc6zD2q2XWNrJVz/6c2Ds5g4HEbkk+Hcjn +l+jLFfpMdbY/oW9czGPlE2MQYZGWyHUS10zVzhCKE2MMYY0ccmnkp0LzqoGq +haoRqhV3kIslxgzCDtrDrjqL2L1PPWoc/MTYva4QmgDfEZvHC31GOquaip/n +sU6JMYewhzDdZ7FromrjUs0P/Q3rW1ZPXQL/GGOvp70HzbEtKYxaxDW8lPYa +m2r57uF9sW0Seq3qMbnEGEBYYCG0Gj7LWIlC15AfkHuw51ML/EbTW21Q1tjy +PuGKxJhQ2HAmY/3RzYXehj9NzM2RMZewl8bmZY1RhFXkQ776ZT13BtQ3awws +LKyYPbPGzMLO/yKf78jnTMZnpzuvu389tE49Rb1Fbzi95dZBr8bu+er9w1Qj +kB/UfRD2Q34ldg9QL5ioPVX9Rd6Wds9Q77iL/MvleWwv8u9jz9WeHs0YQwtL +v8XYUXTDkd9OG4MKi5YIfVe0p9rb68z5GXkG+9md/XwPm51pj0mnmqvaq7ED +wi6hfaunqrcKcwl7PQutiP1N6NvQm2spuV5Vv8l3D7vI3HNQOuWekUM/LfZe +CIMLi/8957eKMPUybB9Q/U+5J7ZGrpW4tuiO6q42yLp26Y2zAH9lsJ+Z8h3U +XRyC3CvtWp8vXjmmjfGF9RvoPSVsytia2JhI2Eg2vZHrhtapJ6g3zIp9Noqh +WHVC31VhYGHhjqG/fWH0N5DjyLVd/0Hov4i+Ob/NhJH7wG9B/3G+Mcya0Dkq +V2Go+aHvoO6i3hzT9V9G7LukO6O7ozutu62evjr0fwj6L0F7rL3eLvyQ9p3R +3SktvJHy2KPoX4799imFvhT66ln3Hr3p9bbvkfPd0H8G+u9gfWjspjdzmcT/ +sei/FmGqjaHfAHoLdFJNxt+q2Lwwdi29p/SfAvqAM/yOvW6FfH8J70FHfG2N +jfV05i/Cvx4by+o/jm3wd3KuPepRAfJF5JIp37Fykd8oeqsII12BP5/xfyNa +81P6ryE2ltV/HJvgD2Nzvbh7pnrn+di9Thh3Fflej42d9Wa+FhpDCUvpP4HK +zP0o596gHqpeKownrCefR3J+c+rtqRwvIRdJjPXrQgH8Rxm/7fWfw5TYbxa9 +XfRm0Nshil2rtWcrY2MyYTP95zE55zPT2S1jbAO6/8b2XR+/N+FbhNbpP4QY +uUbob1VvDL01xmSNBdXjR2f9xtBbQ28wvcX6x8YqtbHpBz8kMq+a/nhkjCas +pjfmYWLejv02UI+7BX8o47emzlhnXTbx2euNvD30f1r6b0tvLL21/g+zloOI + + "]]}]}, + {RGBColor[0.3246377575, 0.3579367775, 0.38140091750000005`], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmguUVtV1xy/z+r5vmPvde8f4SiokQhLl1UYTBK0rqSOmtYpRE+UlGmwr +KCAPlWpcyNuZQTCoSXgpGm0erYppu6wErDxHUIRqETWGrqrEIBBAigomOv3/ +5r9ZrjV3nfOde84+++yzH/+973xpzM1XTKxJkmRgbZLoLxldTpJr9JzaLUm2 +l5Jkm55KXZK8nSbJG41J8l6RJG+q/WZ9kjyo8T9o/H/0+6DG98W7/Wq/nWtt +9yQZ15wkZ6jfqU16a+5ZlST5mp59DR4boE1f075Xa89t+n2h+t/P3P97rbtI +v7erP0Ttn0T3A9H/RO1H2rtNa1/Ru0HVJJmt/jjRP1/jj2rsp3rGZF57g+js +6ub92Ouw2n/V/NXqt+ndv4mX2Zp7q8aG6vmN5v5CtE4R/58X/8dE86ie9Xom +SB4n1nvel8RHWW1fzT1BfDXr2V4x7Y9qTP89/d6jZ4qeG7T+JY23aPy6zP3r +tf807X9INJdr3QaNVdWeJh6G1rvPWJvWL2rwnLnqz9EzVr+/qLN3iO6fxENF +71Zqbr3W7lb7iH4v0l6n5ObpGvHbuzDNs1Pz/vlaz98m+V+g539rPFaJ8Sdr +PI8+674YvNGm0X+23nux55fjHND5etVzvqa97i1M91O19xde36l2cNnzWXuX ++tP1XF1j+T2j8S2J5X2b+r/S2G54r/O5VjZJ1zT/W6Lz52of193cLJmcrv5T +mjMQeevsxzT+otqnRed1jZ2jZ6Hkt6DiMzdmprlGfN6psR/oOao1qeY36WnQ +U6/nVc3Zrv13qu0Xfda9FHLeXrYct+j3mxpfp6cDfVK7Vs8m9TtEe6qet9Qf +UbZ80e1bNPYy8tf4G5r7nJ6N6s/Q2SZJr2YW3mdr7PUX4nWOxu/T+Llly5F3 +zwZvKzTndzrDUMmjv373qrh9RPvdo7as5xLN2atzDVJ/rPofSJ5/JjqHCr/H +7ms0/xPJrr/GP819R09p7Le692Vxz7dp7dI638+l6p8hm+kr2xmtdrzovxN8 +L0BHtf4N0WmWbuzWmk6NDa/xfuwFv2c3xBn0+zE9D+npKVpHdN4/ireNYYuD +wtaZw3nRUfQfn3Ga9v11vP9Og9cM1nN3vX0E/mF85v568fBMbnmtUvtQbt+3 +Qu3BWt/VBaLZUbLPGaF+a619C3uVQze21Vr3XlN/aGI9eTXugnZn6Ey/6DN+ +e73lzPln6V1v/X6hxv4Gv4N/Wx/+hzs6IvrPlLwHevp66PmB0DN0DN1Bh/4q +sS8fFf58rMY219kPwc+O4GFyZp94Suo7xYa5100xv1s3y3FHyO2WetNHPz8o +m6fXQ8fhAVldktkWL1X7bJNpnK87v7rwGR9pMo1e9eZzQ5yXs16Y+f6WaM4h +7TG43j7zad3/AO1Vp99fEK3+evd2brvHPpFtKewVPrFffnMv0Gcd8uTs9TGO +32I+NjVW+94vnsepnSr6yzQ+V/yuS60339b43+qZqDktGs+q5r+qdpqeh7lL +6elq8b1V/WVVx0hiZTft+0LVfv7KwnrHGZHrj1PL9Eq9/3f1p6s/Uv0N6req +P0R77ld/BX5Q4/NqHTuIlYfC1+BnVmjOEGJCZhkTE9Gln1Uc24hr2PfEkn9P +1vikivXpGq25TWuvUtta8nr0kTjMfuzFnnNrfRdjc9vAeO25Ws9W3c2uwj4A +X3272s2i/bye/9KeY0Tvw1rbz91BF7/XKDpP4LfUvsxcPXtL9p3stVXz/iH3 +mptSx1324CzEnrURZ+/Tuw3iYWdh/Z8VZ0cvXwsbQT/naPzFGtsuNOHh73Kf +8UbRuEd7zy95b+7zSa15Ip7H9dwBdpCc3lb/ZO1/l+Y2l3zmh2s8jt/6ecVy +by3bd3J+MAs8wy9x7bbMce4LqXXzo7D3k/BL2uPkzHLgfpE5tN+JfdER/Oe7 +cU7uGp8DzpgT/gq5Iwfsq6bwnKsKx1v0kJjbjk8rec3sim0Bm7i14r04E+3u +2Pc01sNHan/w6HHfq3W1YVPo/o319pvcN/f+pta2NZnHc7BdxYff6756iMfD +kn8v/EhuO/hF+JcdFWML+CyHLbPnmVo7pbtj9P4GY8lEc/pobHKMc+fIhf0e +j9iETnIf7XWOX2AmsFMhfg6nxgwfiIcG/T5Je31Ftvxh2T4O7HC9nsfq7UvA +CewFtjiv2bqCD3i/sJ1ir7c0uj8NXdPZT1B/od7/QXv0FM331a6s81r0C3pT +g+Zy3f3FktsytcNqjF/BruCcXzVY1uBWdJF7QTfoE9+nhV6hX70rnget55o8 +95+176Xqv6C9bm3wXeFH8CGXafwpjd9cMg30FH29QWe8ReMHtHat3k2o871e +VLVc5ql9J/d9PJ0Z13Mv8Nw3zsX9vBh4bEyzcwHm48d/kjnWNhMv9BzhXsXL +75t8txOqpncg7hq/e1N36zYxlPnE0XH1joXEQWLXpoh3i6vGVj9Re2LYN/7s +zqptCb+7SO24OsdJMBJ0icurc/t/4gCYAp8MJhlTdR8/vTTz+rEam1g1j3ua +zDf9d9Ufrrsbxv3pDp5LjUO35saAYBd80acV70X8OjMzdumfeT10oI0O1oUe +gmHBcGAw4iUxZaLmLwZ31fsc5DbowBy1a1PjoB7NlhW4E7nMrVrHB2aOT/iH +LRp7vMl44PnCcbjrjHWWI+vuFb1XIme8VPwVmeleXDVt+tzFgjrzNL/OGBid +Q9++0WB/ga9Ab9CH/1B7Qsm+C1/9mHi4QeebH3ifvAe/8LnwW8SIvOq7e1X8 +zMyMOy+p2qfie/FDg6uW08dV5xnDIh/EnxHrlwUOA4+CjcHb0AG7Yn/DYnxC +ap1H98E0YJs14m2WaM4sW58fKJy/DdT78UETH4jdfBT+sGfFOQC5L3kt+PZW +dEB6fUWTfeTlaj9R20/PS91tn9jmM5lt4V3pz8ehly2Z/dUIjX9LdO6uGKuQ +MyEv5IZvH5R5zjmZbfpK0RyATw0cCB6cENgYjHxxo3HRbNHsl1l/0KOjVWPS +npllimzXq/2jaH0c9k6ueqfWrq4zjfuCDu2i6H8jsy1gE2DVwxHTiVPMAYtm +Fa8htwIfrIi8YGRm+iMyYzLO+586z3ll50XkHrsjbhIrwfBHax1nl1f9fkbm +mNMr4g453+7IsyaI5kidf6LalgbjcNb/OPfvHlp7k96N0JzxhWP1ocBI8FyN +vP2fqvZv+Dn808GI0WAHfDCx6arAYN/LbHPTIt9vKuw75hfWo5rQpSci3wX3 +wtPRwA957LEkNR4/EHthD+jzD3LbJ7a5RG1L2brHvdZU/Jv+xNz5wBTReb/J +9v1D8XC59r2i5Dzou9GHp3Kz41mp2b75pPDPpdR4j7rOkMjTyJvATJyfs5dT +YzJqNtC7Muj3y93/Supa1HdjL+z58pizLGLlZalrCtQWflS41kDNYUFhPPPf +ZetAJbNtt+LzC9e8qmq/nLpGRL3qgPr/orOcXxijgFUGRo7Kvsj/Oo1fWzYG +JZ5jo8wlj+fs+MdTJYuT1V+c+n7QGWyGHPDsuLs0c78pM37v0rNa56z4f3wf +ufvQyIuxN2j8iPqYnkni56/Vbmr0+qORb4Ob0GHqGtQpMq3bUHW8WFc1n/ho +/PMDqXX+QXKU1Li3odlxu29gEs50cpxrXdA5pnZpah1D75DTmYHBtnQ3zjiO +Mf6ywbZxYub+59QO1ftj3T/DdH1i7dKqY0M1s7+74zh+qxj/YOdgRvJtMN6h +3PgNHDcl8thzq457YCCwEXGTHJLYiY6j64MiP4AO9wvGoD5JXBgQfrdn7NMr +6kobw06wEXzSL0v2S23hX7DBh1L7+UXia5XGfl1yvkxcBddyN/gGfARrmUMe +ht+GH/rgV+qK5ETkSDtFcyJ7iua+kvMlfCExB56JO8x9OeZTa1kVNMn1VgUP +1Gvbo45DzZS8gPyAfIW8ZVrkONSMwJNTtO60su8A/ELcImYdrythezsbvR97 +fbXZ8/fntiFyTvJN/HF7xbUq4jTxenFmOug1ey3Rmi3a7xG9f77kPvpMXa0a +siKPez70tgtHRD2trexzwf+mwjirZ9XjP49cDH57B8/cZY+499ML1zwHaN/N +Je+Nb6FWB32wCvkU+4JJOmIOvFXLXsP8ESGf2m7WjSz8P3yRD3TlArn1YWHq +/PRI1IywpwWhk0nhWkdn7rGFMY7eLoy6JTpyJGSOTjMfvHNt7pzup02ex3pi +M3ipPTATNRNyCfIIfjOfc4GN7wl8fCRyH+hTf+buiNesmVdxrkcLzsB3kBPh +J84JzPVcyTkCuIN6NdiDdnb08RXYOvKfGrkb9g/2aw38R2yfG7Xuzqh7gyVo +50Z/Ye69FuTmm/wdTPj93P1HmxwnOTP+9u7U/p848Lvcucru3Dksczgf/viJ +mL9H704iBuS2ty57TByXuHvuHV3oCB3gvtFVcMs83eNUnfOweLgjt6+Ylzq/ +Hxx5F/Uh6C8Ivd4cuj0KO2107Q79bQvdxv9xd5wJzDm50TXz2YX7swr79s1R +e5kTOTu5O/iKbxRgrAfEz0bxc3/uM22Pc4GF4ZnaFXiVOfiy/vGN4fTAAG2B +Y3eUHVvBBzOoBTbatxAfRwX/yGNbfF8AC+A/wALYCj4Fe6GefV3EU/Kgzrhf +9IXf5ET4Nnwf/o2ac7eoBeFn8DHIh9iHj8HHfk9nmw5uyF0f2h71efgFE1Df +2Bt+lLODi/Fl6Dx4nzoBmJ/5r8QZ28O3bAo8tivmlAL/vJ8ab0IfvLGt0TyD +V7FZam74dnxCW/hhZI68yUGYuzfmY3Nt4TNHBd44NXJ4cvm1Tb433sH/O+Fn +kQG1nNkht2tj/erwUSPj2wP3MCLuApw7OujzzWV61LVGxhzuCJw7MvqjIu9j +X3LWT+O+GBsdsnpVMlqvNYtS22xn2D/8XBd7rQ3+4G245rY1mv74yJWQLzEz +aXQeg74MDx64z/WRNyEHvsGh29QoNjZaf7+e+tsV374uK0xnaHx7QrZg7EmF +dfXmwvdDvCRW4p+ps+PT8FX08Vf3aN50ze+DD1e/Q/1fqn+u+rtEd1Pqe6SP +rmIjzEEfuFPuCF+KP8dHw/+wyAWptRL3wHPEF76f8R2tV+F6A/rUlfuUzQP3 +iF1BBz8PDia+tVKPCdyLnl8TOsx9URdBh9mL75w74r6YuyNwcr/4Rsh3zhsL +3824yEWGxx0tjHyB2NQ35tdVnU+0xLmox04KeQ7JXX++MLe90qemOyviKzEI +30Wf3AGfsT3ogD9fjvHN8b0MP0mMpu5JjkN9oT38AnGNcWIB2Gdy1LrfijXM +PxD1Q2IA32qnRqwHc04K3Anm6gw731PYv72V+v2UmEP9m5zzuP2dF/eLvtwZ ++kN8o48e/U3utd9Jre8jQp7cM/ZAnZj73BZn3xBj1OOICSPDr3KHw0JniDtt +EaN3R1zro/b6+B7Hd7mHA98szh2bsQ98ODVSapB8v1sZfc5F+2SM9416FHUp +bGtj1AGZx3rwOfVOfHFXnIpx1pJLQOdcta9nxiJvZJ6DH8eHr6mLb3l6vpo6 +1+uf2z8/XPPZ98BHI/ffGXWi19T+JjN2eTOzD10a+56Z+/7AzquiZkLtBMwC +diHW832VuNX13bnW87lrvnXOCP9MbXFb5J7EBHTskogR1JIYw/eA17H3C3L/ +r0BLbnzOHHIK2rtiPrklsjqYujZGrQ79vT+1HlGfIBe+PPadH3VJ9m2PufRn +BE34XxDj6D//d/Be6PPyiC3IhNr28uiDuZH7cdl29RPLmJoScibGjQ+ZgNOf +DazeGXEZf34watrUtj+Mej51/b2KT4ep/2SuT0HzWOoxzgy/1GmpKVJHIx8g +L1iS+S7Gh37ynjpuS3yHoo/OMz4u1n4z6HF2ap+3h0w594Mxvib454z3Ri37 +h7l9BXkFPgEMRh9fBJ5cF/tyvh6RA5LfrAzdR87M2Rq6vCz2ejvkhGzxb/hB +fBe+kD4YAP+8r2K/jA/l++fYxN9Cqe8e//5LzkkdAFwBXeyBHJTxQXGmNbHf +hqDD/OujTkz/qM55hva5KDN/7WF3YPwPA+eDA0+I/2Mh3uCPzkodF/YHn9TH +0vjWg27PCt0rxTi4g2+s5fheQ246M/Sf+i51f3zu/+XO3fkuRDzqiJjEevag +dkHORl4Kn8h4T+gzuKk17Aj7bIs+Nt0UvIFV+ebC/wTge9B7dH5v4T7feVoj +f8EPzI86c5/MGLs1xjlXOWg2Re5DvsM65lCL4JylqNtz3rMiH6emjnzBEaML +/0/LP2aOD9RV8dV81+Rb5K7M/2OFPFnL/+vwfztTo8bJ3a0OO9gU+k/sBKvh +RydH3YO6HXeLfJAbMXBPxMHBUb9vCV80M+7uqtzfMq/OrY97IxfYG/qJvhGv +fxb1Ab6V8s30t/GNibyamgH6sa/yGZZGr5ABY/uDTkfwj81ODR81JTA4+2Ev +/w+/cVVc + "]], PolygonBox[CompressedData[" +1:eJwtl3mwzmUUxx+997rXe9/f+/v9XoVSaKIF1zSpLNW0SE3bTShFSVflUi5R +WkeS5ZL1oiwhpZmaNtVMi6VMaVGWf4TWqVSEuEQS0ufb1x9n3u95znnOeX7P +c7b31Moh3auPCyFsh4qgUXEIWzIh3FscwhPg46EL64cwCP6afAiTkhD+Qv5h +SQhTwD2hkeATkNfkQngG/jP4z6HnohDGQS+Da7ExAFvjkL8P36A0hMnI5mFz +DXvPQz4X3CENYQOyJmUhvIR8N/wP2RCWcMhi5OfDr0f+MWu1yFtjcwDn7sb+ +NrKPTv9iry3mPI/CvwR/P/Q0+pX4n6TzQt+g3xL5xci+xd4ObBdBF2B/Dfwy +9H+H/xpczjc3RXdnat35XFYz8Af4qMb3m9Bo7DUphNCIs98DPcP+mcirkO3E +5hvgOaztwtZAfKboL4P2Ip+MvaXgQ9jch/390GFwX9a+5NsncN7bOXs/aCL4 +eGgzst/gd7G/HTZ/BY/F/uqM7/wR+GbodEHeFVqIrAz+NWTt4SNwB6g3+B3O +M5bvawhfl/GbnwC+HVqD/6fYcwf2zoSvQPYr/HvwXdlTyd5yvu8I/FOc+Rbw +m/U4J/iFnPfqznX3B9Hfjn4V7/M3uEfeb7MKn2M437vY34n9gM+t7P0I+Yjg +PR+Dj6LzC3c1Ev4x+Fp8jOGuVqKfQdYDHyMyjskbwb2gx0u8JpliULE4A6oC +L8JHS8UuOn2RN8XeKM4/FJujwJ15z9fx9xw6F4BnoLMK3VWKAfx1R6cAfg37 +WWTToQMZ68xMbFO2G0Ib8XczZ34YW1ug3xUPrA3E/nT4ueCvE+fGRmxuwP7l +8NXsPZm1/ei3iP2WnyDfhO/ZiXMtj3wT+pfCV2S8pyt4OXvq1bOPBN956LRi +54Ry4/zYb98B+Xng75RD7F/HfZZg73v48fDr4Uvhn885FhWDisUa6Grkb3Om +CeDV2KzD3oPwtej2yfutfkNnFvub5x0bn+KvBfgga0vBp6BzOb6GsDa72Dmx +Pec70l1pTbIrdR7wMvYcYu9yfO7gLOu4j1Xw18lGfce4Yn0EexYq/5GP575m +JY495cTT4EeQLy52zRjM/pX4a1zPMVZANh/6JeMcvwZ7G5B3Qvci+EbwN8oH ++AGoZ+waqFo4GP+XJY5pxfZS+PGJ70R30wqdV8G92fNYfdcI1QrVENUSfcO1 +4Kq8Y0M+5Xtj6tqnHFeuT05ci5WDysXWiWvBUd6rFfJu0DDkQ6ErkH0bu/at +Rd4PnOb9FoqRFdgfgv1bsd+PeIrBU9n/I/YaU89OJP6bQZ2KXKOaFxyjilXV +kI7Y+wl+c9Y5pFzKxa41qhmqHZXsOYj/NtjrD54d2bZqpmpnE/i9xzmnlFuT +ON+GBo6pL1SrWVsBDsivB1ekxtKR7q3wV2ddw1XL1TPUO3SmbfDDOcNbGfsY +Bp7GnawscU9Tb1PNVu1WjsSqT9zJDVBb1tpBR6Bu8M1KvfYQNt5j7wHsPQje +hY37j+mexfcshF+vfsedLY8dI4qVAmtHsTNQ9TLrmpkDN41sS2dskrjnqveq +Ry5Dvw1r3dnbEzoD3RpoLbrtsZ/V98D/BL8bepG958BH4BbQDOxPgRpiqwF8 +ObK+Bb/FYWgQ+J9jWGutofnYLC9yjj8L3of/0zhrBdf+J3ga9q7jvH1Zmw6+ +JHWv0xvprXaic0qpY/Aq8L+Je8UBbB4Gb4UalboHqxcfVfzCv8OdVHO+ItZK +8f266rvyEfm6Et/pgsQ2ZEt7Av4Wqf+VeAbRLKIaoVpxJvK/4a+IjZVzfcD7 +WVtS5G/6C/yJal6pa4pqy4rEtV1rnbG/JnGtVAyvTdyz1bv1DdvgO7J/YtY5 +NBT90zUPFLuH1CGLY7+VasrMyN+kbxuJ/iT05+Q9GyjnZmseQmdC1jEyCHmt ++kGRe8yCyDVftb8H52mbuMap1k1krTm4dWTbfeCj1DOLZpfhrI0DD8NHL/zf +B/8k/OjUeDT6J4P35qw7jzMNR/fRxLOhYm48tg8SI/eiM0zxXuaaodqhnnw2 +8naRY+0kaCqyl+E/zXrG06ynnqDeoLXNqWu4ankNPirx16Dg3vsGZy4tuOeq +9ypnpybOMeVac+zt1t3E7iUXoT9Y/TT2rKQZRrPM5+hW5HzWrdgZm/rbnkV/ +DPikgmdPxfQe9J5IPQvojnRXm2L3cs1kms3Ug9WLFXNzNNsmno2UM8qdbTnP +MprR3lespL4LxXRbvmVW6tzMQ+dqnsj5jDpbub4Lfi2/Q7D5MHa+Tz2bakaf +gf6UyL1FM7Vma73FoWO5qzfpGvsu1WP/QXeJ5uoy9wPZ/OKYD9lWXTqSevZ8 +gGNPY/3nxLOvZrIt4C6Je5tmDM0ad3NfLXLugbfFxqvLbEtrqpX/lvlbVDOV +08pt9Vz13unwH2U902u2l0/51tpX8PnUtaUP/ODUNVO1UzPdTYljWrHdG/k9 +4AGJZ5Uazlel+0gtUw4pl+pSz1KvcB+74NtHvvsKzjMTWXns/xLqcW1j54By +Qf8Bfka3ELu2aoafC7+D8+yr75lOs51qvGq91laA9ySOTdWYOnDLyL1ZOXyW +5oPYs5Nmjg+xdVfi2Usz192qNXnX2ifhO4J3Rz67Zpo9nO2z1LPEPOT3ITs9 +ci1Qj1CvaBx7VtFMr9k+H/u/lnqEeoVqhGqF/mP9obeInDv/z1js75y3bc3g +ncBbIueKatp29t6U+myaoXuB90TOVdX8M4iN6tRvp5qo2lieuHephquWa2bX +7K4eda5qX+zZXD1cvbx/4llFM+md4P8AvNb40Q== + "]], PolygonBox[{{4168, 1904, 2984, 3022, 4167}}]}]}, + {RGBColor[0.3723175625, 0.40476015, 0.42477252499999996`], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmHmM1dUVx38zb3jzlvktb+oCqMBY0DbaxWCqMirWBbWtZXHQyi4VAZs6 +VatDom0oDIvGXVrARBC1NWkaBNMtFZNqa2VJWtumAlYqaK0KyKZWYVD7/fA9 +xv7xe/f8zju/e88995zvOed2TO8ed31zkiTH66ekcWQ1SW6pJclteh8g+qFy +kjydeBzRanql6BV61oke10iSs8TvnybJSeKdKnp/vyTZpedk0Vs1T4f4p4je +I94xmvPomLdd4zKNZ7eYz5yrNedijUMlf7XoR0VfIHqT6P5Fkpwv+jit9VjZ +NDq0if+Exu9rPFn84eK/q7VG16wrMgML636Lxt255767TbqKni76HtH/yJKk +T9+VxFtYSZJFeiZI/+FVv2+R3BDpOkAyk0TPr5iPzHqNd1e8368VlqkwX8n8 +2ZK/UfosCPldGnfquV/8A5JdKZ0fSGwD7IkdNsb+2fvAqs+D95+WvX/+H1vz +O/St0nuz1jtf6+7VnA9qngXx7WNhB9bsa/G6yE7SU5Y+Lc0eJyYe+wX9smSX +6ttOjddoX3dpzm8XnpvzZv55Go/T+xTRF0mfgUHfq/FYPZeLnq5vxrIf2XlB +2fOM0/u14t8jeobGbayh/x4W/0LtZYbogzrrKfpvtHir9O21ZcuMlOw08ceI +/4j4Y+SHAzRPLfXcd8f8R9WTpFv7n6z9rNScY7TfFRr7t1p+smROaLX+U0Xv +09zv6ClJfkLJ75z7zjbzumXb/WXzeX8xt27ouCW3Pui1UXSHdNyg8fSqv7lK +872U2w7YY3nZ/s9+Wf/4sNuruek27eUN0dPEu0vrL5RsR6vfe0UPCp2xd//4 +ln0fE3ufWzafPXLmh1rsY5xlX9AN6Xa4xTxi5j09qxLLEscPRFwRXy9mPnP4 +nPumzL7bSD/9nm/5/0B8+wLxU7EOjKdXbK+5/RxLg/Wc22I/41vO5wfNji9w +aG2LsWiV5J8MeqjmWB3v68PXc+nwVe3lPD0/xHdlt5nSdVTu+W6LOcGgvaH/ +Dfoe0NvRJB9FH8kv0fuosjGrJ/AC3Mg0/kTPc7LnjzU+rPUOSXap6D9ntttR +4l1YtszBkvFvcNmYMKdwHB9feK+dsd9m+ec50vlJ9Gu2LsTdzKp1Rc9Bkpmr +9zkl49u7YVt0RAY9v5XZH3fJT1YU9t2HCscu6+Fj2AZ8xx7wtgW/X6zNukMz +++kbRegSfEbwbnuTMW9+4GGH5D+U/HUaf6G1e8W7X+Mvaz5rzn95q+27Q/Qd +kh3Xz3x88HBgUW/F2IgdGHsDJ/Hh4eEz84OPDt0t1vmVJuM0OqE3MuiKbk3S +YWmrfXkUGKL/x+iMzpUNztZza+ybudjrcsl8T/Tmhs8PmvnXVo3vd5V8nusD +59dJ/jzJPJcaj7aFLy9sWKdBDWPVjIhx/KU75oS+IdbtqNi/8XVseUuL88YV +WrenxbmjKzP9eGYf21CxLqcWnmezdHgk97cvpdZxQ+j89YZ9ulv8RWXjLZjM +eG/QZ2itMwMnv1L1OzkBO2GvfzUZw8AysI84nVP6NLY4V+KLcyBfchalur/F +ztdUbVP2Tsyw/1Wp8xl57ZMaA5o8dZq+/VLdPgufmgEMYqRWWB1YzVpbIm8e +E7LohJ9/UsMMjDnBDHwPXTnTNVXnZs7s6JgTPAKXJkUeJD8SHzfXrRMY0xt+ +ih/2iT5cMd6S16DB5qu1x/kap+pMpor+kegpondnnrNLe59R9Vlil0sl06Nx +t8abCuMJuML+Tg97glXENfvFrshzLuS3iSWfF7LD44zezpzjqQv4f3PkevTu +rDqux1ftZ7MDc2ZVHafE3fsV5xRwlDilTru44RyQ5LYZtuNc8E3maSp5T+wN +3/tTbns+n9vXk9B/VMP41ZfZvl1V+wZ+MiN8ZXer44tzIY7RDzyENzL44N/M +0Plw5DWw9ZKGsbJJ6y5r9b6YA/3YM2vOjXyBv3Ce4DC2wefPCb+lbhoYddc5 +gRvIMN/MmBO7d0aMdIYMNPn6w4prTXILNTH5Bb/rCpufUtgmJ6XGj5cDQ7DB +NWHDrqCxz/TM+/9januPD5uDM9vCLl3BZ37moqZ9Iupq9CHeP9aYoIeGLxae +Y5fmPjm1PujVHTgAJowPnbEb391e9rfUd9DM+U7URfhoZ+AHPkbNgi2wA/XO +0sBD4oPakZrpg4pj5AittWfjG6lzCTllQ+ZaBr/EJz+qGMtYl5H5iUHmQIZ8 +QX1ELFIvURMtChl6C2xB3U/djZ+QTzlTfAVfas6dn28szFsefGjOvDdqpKVR +Y/+25v+O6FpxDHB2s/T9ffhuYTtBY7clbc57E8CH1Fj6cG4fJt74DxvMjP7o +EckclsyDMc/i2PumqrGdGmBl6rgZlBuL2Du15qGKbT026kxsPjVqyIMV8+cF +DZ/xUPCxJ2eDTdk//staG6qmyYPog08sDsxAnnO8PPyd7+bFf2PCD/G/6XF2 +nOXCOMO+wNLeoKeFn6APc1Cv0jdik46oHydHnTk4cBsbNkIGjBwdOLksek78 +jzxLjp0dNtxYtX17IgfDL9Xcp63TPs7MnDvO0Pif3L7179x4vyD8Cuyhv8Iv +iLOPItZ25Y6BtzTuy+1/e3L3iGMib6I7e2Av1B2HIlf21JxzqGmXxv7Bt6dz +x9u63P62PuoB9sHZ9IWvsKdVuWtB4vILhc8ELOLsaoX7Tfp46srO6Asupq4Q +/5LCuqLzgdx7YC9v594/dniTvjN6Z3rokYFh4PNZmf1gRGabLA4cWBf6ryxc +J15Qc8zSrx1dd746tt30HfLrWXX/BxYRK3MDt9PU/dtrueuNYXWf+ciGz+48 +8kC7+fsle2XDa12hsZ66d9qub38u+lLF5CzJ1vT0k3xdY0vd85ILKvFebXf+ +LcVa4ORRoTN6Ua9zXvRB+AL4QO4nljZr/F3uWuqp3Pcl9ErI0vPRP0+JGOyN +OB0mXnPNfoh/QTMvYyn4R3JbzfhTCnlkv1x3H0U9BK8pvuUuh1qJvNAX8Ues +3dnmNV/Pfb/CHQq108bM69yZua6lvt3dcN31UNwtUEv1BSbkhdeoF66BiOGt +ufM1eACG0NOy5k7xe3LfY8zJnT87I89+N3effH3u+xp8Z6/oG3Pf7dyU296D +w+ZD6n7HR8iR5ErqdDDp/cCxz2qe5+rGBXxvePQpneLvEX+H9twl+i91xwBx +Tz+DzCTx/153rYw9h4VN6UWpK6k5Tyh8ZzWgcP1A7cD9DPdBxPyawrl0TeR3 +7LYm8jXj2uBTyx8OnDpLPvcN1m03HpwWtfENqXPP8w1jxZQ2/z80dOPMOvXN +ZZIf0e5+87LwZzBjbdTATXXPT3z1Rn9H/0VMnxu9Knd49M6cIT0SODUk9/6H +hu99kBmHDlLnZu7zN0nm9ojhcdLhO3pelfw7qW39evT5+OmOoKm1mkNPYpsY +n0hMN1wL06d2tPvct6TuGV+quY7DLnMDM3c2zH8t9TpXyD5DKsaGUsTI0LrX +4tt9qd9Paneu/lXN+fozqesE6kqwAVsfuWf4v/uzidG/U99WUtdG26R7lrrW +peYt4p6UOnpran89UWu9WRgTwAZ8qynOgr3QBxG/ranrmJdz33HSI4DZ0yLf +/1Pj9lbnRfLIirjvGptat+1xtzAg/PM4jX/InAuezdxD0ksui5ywO+4hRzRM +P124N2Sv5NOn9P6W+M/qu95G3G82XKt2hQ+zDv5Pf0edsiny7JU6h7V1zzcs +/Ac/eivu2bjPIJchD1Y8Hv3vzzL3t8TGiaI/l7p2pYatB+akkfc2Rh7cEPm9 +J+pPdKY2+GvdeqDD83X7Bj5yKPU940WyXyLehDbj6L7Cvfr+wrUp9dnF5LHC +d1LvFr7vw/6/0f9X6buPo4+lf5zY5rh9pu447Ql/HB8+SX+OjWYXrru7w9ZL +Yg/o/8l+wNgnooaklrwz8Pmbsv/f6sYp/Ih1JgcmTIp7XeqK0ZEfyZPcPQyr +GMO6o/bAj6+Lu51Hpdfewjp+vt01T1/kJ+a+OfriX6fu9ej5Xsl9v8q97O/r +zq34NDXRh5FvqMUaUY8Nadh312qd/xbW573Cc2yPO0zWRoc9hevNjyuf1pzz +oi8AV56J+OQskQdP2Nvq6P2HRx6YHLXxwfievrwp+n3kXog7Q77HRmA7Zwum +Ua+tz02Dc91x/4b/3pQZOw+I/h/esEid + "]], PolygonBox[CompressedData[" +1:eJwtlmlsVVUQx0/7+trS9+479z0Rylb6sLQmYtRohFYTCEsRt5a2LlARqGxV +rLZNWhITo9FKMG6YaFo/sBQ10RgR4pZgo0AICB+MmrCpCBgEu9AFUVo0+vsz +fJjcmTPbOWdm/uem656qash0znVCWdDawLnP8pzbmOPcmtC5dqgRxUjEuS3o +Hkw6Nwf9bbnOZcLPgnrg38R3e9y59xPOtWKfgf312P/snRtDrNegx5E3YPNx +1LkifC4Quwr7JWzg3phzpSnnZiMfwbcWqsZ+GFqZ7dwKaA6x6tE/i/1k7NPY +30/+r6K2hwp4h00xtu+QrxnfCdBs+HdZa0G3FfqH2C3ssRO+EHoafpi1zdg2 +I2/GtoIzLiHePtZmoe8lRhnyIPJUckegHPJnYF+C/Wb0regmcqZDbGMO8iT4 +Sfi0sbcm4r0I38taa8RilOBfj8+n6Ko4wwzdHfQM57sP/R3ofyH+WGK9AT2B +7RdQmv2cRC4k3mHst5PvMv5H4Eejvwh/K/oIucYQYzSx1kAb0I1gU8h+q7Ep +ha8mRlGe3eFB5CQ2Q/DT8L9E7j2s9UTNR75VKYulmql2TeTY6ixnM3w+9f0e +/e2jnDuR4VwN8R6JWE37sP8ztNrv5AxD8INQGnkHch/8WnK2k6sDehJ+X8xi +KlYFMR6Gd9DNrM8kx1l8FrE+iP05+Bkp66UMKAq/n/N9qbvH7SP8DhHzuajd +4UFvZ9RZ1TMhe93NHkty7Mx74YdY2xq1PQ4QfzHx5hFvIjan8e0hZoS7uIB/ +l/oTm/Js67FOfD3Uj/8N2P+N/tuE7UV3rrtfx9p72C9EfhQ5H/tSbDex1ogu +Qbwu7MtY8/D1nKmGnI3I83X38BXOZvKhpNVctVdPXkOsspT1UiaUDb8S/evo +16NfTvzHkF9FbkNehlwHbci2nsvVvBKzldhR/PPwP893P3SGtVPQ6tCwQj7y +1QxoFtRDh9QfyB3I7VBDaDOp2dSdHEB/o+6Uu3JQCbqv1fdxi90CzSPmKmLP +pF57A9uz9i5MyUHeA/2RYz2j3tGMa9Z1p63w3xHvurj1ju7sBGv5fMdDscDu +WHetmW/yhmnCNs2kZrMyMF/N7ILQZlCzqDtchRzxNnuagUz4XvzX51pP9sDv +CG1Wx0G/ou8KDUtU4zz4Am/Ysw/5beQf2e83V/t3Bv3d4G0WthC/g3MUB3ZX +wuRp2J+HCsn3ALrVKet5+S5A/hDbPvzTxF6OWy98J+uV8M8Tcym+27D5N2KY +XUM9JoSGXeq58fBD+BQh1yEPChtD63XVbBN8EFpvCoPi8B+Q+4ere58O1XIH +k9AvRf8Kuc8RowB5GfJZ+MVxq7lqrZkWxgvrVfORwGqu2guD64RdnK8Au0Lo +GLodMcupXMKcXd6wQDPZHbeeV+8XQQPYvxXaXc/FZrI3jBfW643IR7cbmzuz +rKd2IbclDbsXE685YW+Y3jLNzAr0U1K2l3Xcx1J028i5kLO9oPnSXbF2Os9m +SLMkDBAWpNEn0E1J2FukGqThP8FnnPCWtc/RF6ds7zvJn42+31stVZMB+C3e +clfq/dJ9enuLVxO/1puPfI+TvztpPaRe0ps619tMajaFkY3kO+ltNoRxwrrL +CdurMO2epGG0sFo91x8ahgvLpyL/Bf9bYLn05untuxiaThgqLD0a2Nt9pYac +rdtbL6hHe+DLve29HrqE738xw3xh/U3wQ3GrhWbspaTV8EotZa+3KmH/Hnpz +euGHE6YTpgvbpyfsrdU/iP5F7goNFzTj5fCniDchx3o2EH4m7K0UhgnL9nur +jd6QA97+AfQvkAXlwi8MrBaq4d3E+8kbtqonjsPHUoal+ofRv8zL2F8bszda +b/Uxb72jGT0KX8seF8Xt7LfE7J9I/0byGYv9qJTl1j+D/h3yAsOa/KtYFw/s +rdKZdLb53u5WPa5eP+INC/SGHIY/421WNaO/638psH8//SN1cJ7/AbJxREM= + + "]]}]}, + {RGBColor[0.4261152375, 0.45590017000000005`, 0.470918195], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJw1mGmQVdURxy8zzHu8d+97982gSZUOoLgUGPkQgSwFVKlRAUUiRCsKxhmI +IQUENSwloMjAN4VSljBZKouCpaKVxIVAYEqtGFxKTIHsi0BClEGWuBCWlCD5 +//w3H071uWfp06dP97+776Xj7x99X12SJOe6JEm96Dh99CsnyW71P8uT5Mpi +knwu+oomB6t/XPN3pUkyRP3/qn9RLUluUP9i0caax2ui+0pJMl/zk8Un0/cg +jVdET4jXVeqfFP1bQ5LcqrNWivdxffeFp+g87WtT+0gy9dKemzTeUzSvWYZq +zWuXqv1Ke+8peQ/rl2jsXbUtBVHx6qL+BtGtOusO9d8Q3aA9b2rPQa0/qrnL +NH4s99j6GB+b+tz/iW+ta5KU1caHXJw1Sfd6R3x6d/U9h5Y8x33hcbhsPr3K +5vt7rZ2p/hHG68wLnqwZXU2Sn0uu0U3iq/kv1LppfpPGT2p8o+hRtQt0pyOi +7aIzC75He73lmB/8GIPnAs1frL1v63uJ2g7N3y/ZRpb9Rn/W2LOiN6qtVb+7 +7puqrVP/trLvvkr9p4vWOe8/QfPl1OMdJfPGXnZIpjM6a7von+rd/4/GW0p+ +m1Ea+5FareD+iEbZivqHtf5Q1eOdVcuBPKe1d5b6a+p8L+zl1/reV+d35833 +qr869HhI9x2YWndXqx1tsF72aG560Wdx7jGN/1L0A413lvwu6GtFvfV8ROMf +NljW3eoPEa/BwfOs5LtMfK6T7OfUv0L969XvU7FtPaOxLTprtvp5V+sG/SPj +ctnrZs09JTqsZFvhbi9l9oFF2jtYdIb2/Vt3eVHjr+v7cY0XdK+eBdsZ/OAD +/634UMFv3lLnvR92sa0yx/hbVd/5bdG8m8+APzLlYc8NsrmK+t8R/ZraLsn9 +mO7Us2zbxW55b94df5+Smj/nYCvYDD6yvmq9vyk6UW2J+qn4/bVqna6tWiec +jc1cW/b52Oo08ZqudkD9heK3QO1KtUuaPL5T8jwqXb+i/vGKfXuz2jLerma9 +Py36atl6wh/u1v6mkG0pug39orPni373cpN5wvu6smUapPaC9N+uNW812s7X +qY3W+mk6+3eAZGBUZxfjwEbxLNZZfjDgjL7nij6BDYjfFvXHSJbG0CFy8q7I +eqfknqez7hKtVzus+Qt0zmq1/Rp/sWad9S9bbz1EBwSGtGhNm9b01j1+W7Bv +49fgN+vxi+UVY+LEmmWcGnqGTot+p+5zidYcyu27A4r235HdjDm7dMefSN6H +g3+z6P6S73VQe3pp/UeiZwu++6o629HOeu9dVO812zR+ROt6q39YdHG9+9vj +rFu7GZ+3NdinsGfoG9EHU7+V+o3miX47+ofj3bAl5EPOT8TzH7K549r7nmgp +ZH683o0+WN1DurtIfJqbjJFLNfdAYvnBZO7w3abA56p1D8+v9N/gddxxWIMx +A7/ukVq3UyM2rIm4AA98bWdgAz54/m1XB449or39U78z2DMgNf4slF77FH0G +8fbpwOT28BXOJMYuLxqDiTM9wk76aO+TGn9O4wPL9m38eqJoc2o5T+s9PtLa +xorj4bCy4wZ4hn7w910V+yN+eUrrD4AjFcd67PxnuuO0ms+aKvqg5paLRxet +nSseD6U+m7XN4Rd9SrYZ/GhGvD1vzV0/DJ1u0vy0ou1qecF4hB8NCp/l3cFU +sJUcYLz89g6NPys/7l1wH0yYE7pFhjURs3mXtuizty3sCt1j+xeG/ZMHLY04 +2iN0zhvjw+Az8epU1f2TVb8DvsRbEKuxGXROzCB2rMx8F2It93k4tR2TO5AT +DSw6L1pXdt5AjDpWtTy3V4y13I04t6FqPaPvasXvwvsQJzmLeNe9YmwBY/Bv +bAIff75imyQOvFM1voFzxFpiLjlDj5rjcrPoMtFfRDwm/4I/59Qqth/siNjM +2H2JzybmTkkcT3rGHS8vOJ4yh26Hl61fYjZ3wpaIXZfHGuIu65/L/E2ftTfX +bBujKsZXcAoMuDRiau+qfX1fvPXtVdvZiopjzYjMMeAHFfvz9ZrvW7Jdguvk +JuQQ5A+8MX6O7Xy9yevZt7IQWJA4xswIGyYP3VpwvAKTjgUuLdSZN6k/ttEx +Ymud70vcI25iV2AmeIne5hScn2ADYCZ4iW4vbfJ64u2n0vsVOu+TwPLFsR8c +uCbwBCxCD5yFbpZGTMTP2bsj8gJ8ntgMDiyJ89aWHH+oC7DlAYEhjLdGLBxe +cu6EH50I3fHNm+P7vDv4PS9wm7lRsR57HFWyTeKjc0JmZH8k+i0RhzkLHJsT +voyvDol4x965Mf5YwTkHe/DptjiXfHJZ2PBtJZ8LNo4reQ/reX/sAMwZFJhK +7cNbLQp7/mGT86E7RZv0pm1qy1LXR41hh8TcjYFv2AJ5GDkY5ywI+cCZkRH7 +7s2N9c+I12l0lRlvyE/aApfAQ3gSu0dKxu+X7P/zU8cL1hxVm1V2TgtmrAwc +a5XNPQeGZtZZv9DbeV/lXldrbk9q3fRX/2jEfs5EL9xlBDhVMl4Qt4lp99RZ +FmQCa35T7zzqPJaAG2DDpKhvsCXu0jd8bUXUSAejBh0SufdVkmF3ar6Ta+bz +fOZ3uy1s5hp9f6w1s8vW1eC4Fxg6O/SA/z0UPgiu7Q0/+qb2Hkx9dov6u1Lf +jzxgX6x9t9F52wbRA7n9dkzokjyYPJO49kRg15KoQclR+4ee8Z/lue3gqag3 +ewUespZxbIM4NjziEXoqhq7IW9uj7iMuDos6At1jd+i/VfJ3yew32BNjYBE4 +tzDi1jZwUt83a/+DotXM/jlDdLrabPUniBYy+yvvsynyOt4c3YD13TRfzOxb +nIUdcF5JYz+Fv8bfL3gvtgpWgXHgLWffUrJ+2If9fxVnI/8HA+E7P+y5klk+ +ZCPnfT94co/tqfn9WP2umX2gQfTezHXhuYJzPvB/f+7+SzXXBxOinqUeJE6D +aTdEbkUdSh02J2xzaNn5KthKfnRF4CNYTn67KLByScTNfmG/vB1YvDhiIvdG +XuL02KhTVkWNzLvvjjr0ROBnve5RlxnbctGZmfOF99TGZa6F0NnC0O3miDnY +0pnwWd6O2AW2wD+tOP/al7tWPBl2RS3COmLdoxXnt9SFr+de81runId54snO +1D6DTXCPsVFzzQ4Mwu+oEe+Oceom/gmA4R1lr8NHXwXjMteyxIR7wv6/p7FP +Uv8T+bvoDZlxmNyHnI5cgfq+Nf4zQMdFnOA9O6PGr8sdY+pzx5HWWNMe98Bn +wWT2wo+6HLmQHx8kV8YPj5CnpcYRsHJP7J0ruS7MbP8Do0YjZl0ijFgg215T +cVzGhrADfL8z/gshS0vID2avi3xvSs34+UJgHfITpzi7I/SGPW0PjMLfJga2 +YmMTwr9uaXT/C+UJf8yMIZP5pxc56IzcvMg5wUawok/YUqXimPev3G/SEm/H +/QZGDkAcHhj3JXeonf+3UDPPrlF7tgaOzYh/FtgnvBgnpnxcte75P/Ry5pr2 +gdw4C67+M3futyfiFDnmB4Hh1CXgApiAz00Kv0uK1j8+T8wDr2fnjkd7Q2/E +KXAevP9Dbmx5Mrdc5DfwwY/aQk5wbHrUz+dinHp/eNQg+Bc5JzUO+daseE9s +6dqIT8QmYn9H2OHOwMFdIfO5+IfwjuT4kjwhd/y/LmrdtfFfgpgC7Yg+OUj3 +yEOwBWq7YtxzR9xxfMiBDLdo7anUdWBj5C7UVvw3RQ5kAGN6B87wX3Bs4NU3 +NLYqdfzFL/+S2jfRB/KDt8i2NmwG7CZfAPf6aP3LqeMI/5bGxLnDNN6cuSbh +P+VdkUfdpLHVqTGZ/wxfhn7AjNdS2xP2wlpsGJ2ui3MfCl9hfH1qXvBpjlp0 +X9SgZ4PnIa3pTP1u4CM4WZYfHNfY56En/AG/yDTeEXUEsasv9UTq/AcdoMPH +I7dsDWyhZu+IWNwa8R27ulF7P02tj9cj3ycXOoFuIk4M1ZrPUmMq/4fORlzG +3kpRU4NHW8NHpkTswUfIJdvjXwH/wsk7idv/B2oTP1Y= + "]], PolygonBox[CompressedData[" +1:eJwtl2uUllMUx5+ZqXea93ne93nmLSxdVJMYtFhULot8QBcl0qoll6VWNLpI +1EhNCF/QneSDJWpKV6xuotyWJZWKQveQS7rMRTE1ZZX4/fvPh72e/T9nn332 +OXufvffTdvCovo/lB0GwFWoE9SgOgruKgqCKwaaZIOgO7g3+A5yA7wd3SwfB +jIIg+D0OglqoXWEQ7GT+CPxmKA88EfxANgjmJ0HwAzhG+Rz4zaz/lPUbWZ+C +7wMVgaeB97O2BTK3IX+K9RfC/83YJeBd4D/hj0OXgX8CD4Ffhsx+8CpwE/Yb +Bn4VPAt9o7C3G/p7Yf9vzGfBh1nThvkd4APwGeRvBNeBQ/h7oefB41l/An3z +WPNk4yCYCQ0Hz46wGXsrU0GwEv5kGAQ9+Y7mfC3hh+a4Q3AGvIS19Yx1B4d8 +m0K/Qr0iyw5Dz4XwX4be/332vA58DVTB3MfQCPiuUBqZMqg5/LrQ97MS+WvB +V0PjkF0LlcO/y/xs5ir4roDegyoL7MMPGnRorfZcDW4BXlNgnS3h1zK2u8Bn +GA7uCD2N7iGMrwpts2z9E/lh8CcYy0EPQCuh96FFBY6hEuaXhvbH99zZWHAs +fYytwy913NFK9ikFj+DuDoU+k84yHhoHv52xqrTXnMEHJeipwR/r4Bcx3w58 +MXQW/BK0L99j/8K/DP0Ibg/+D74aagbfHx9fmdjH8vVFjJ2E74c956UsUwOe +qbuFfx16D74+a9kUttSDh0J18MXQfaFtkC212Lceviq0T+XLCVALzphw3uaM +t4I/wrcL8zVp+/wgeBdUnbZPF0e2fSb2DsfeljmvrUD/Umz9BP5WZE4jOxx6 +MnZsHufM5fA1zN/MfG3aPjwKvgXcJN9rNFcd2jbJXKrYjRw7ejOD4RtDncEd +mB/A/iNDn0FnWcMZD2BLKfa9CL+ePf9N+U2uxr4SZJ6DL0d+DzjOWK/icyPy +hYoF6AXdk+4x4zhVvG5mvilzE6EHGZvFfLOM40rx9W3WsZqLPKeYTcFPgJ5X +HDXc5SC9qYY7zUaOQcXehNCxVRZZVjFWAf9U5LmJUB78eOjZ0Dr+Dv0mhjT4 +/FjoGJDv9Ub/Cv0m9Bb05nW2h6BOoc/YKPKd6i41NoH7WpxyzNVynvzINmjv +jg2xcTj0W1CM7IO/IvLb61Pkt9YhMq870VvboZxU5Dcn2wsi69IZKthvEXv9 +w/rx8J8xdj7zv+cFwUDGdoaOAflIOpaAPw09dyDPsVME9QwdQ3oDegvK6ZuK +ffdNIvtSPng4cowqNjs37LUldC7Qnsqdp/QWQufQx7HpTeaOonsU/CORc6Zy +pfZUbtsN3VHkGNoDXxo5ZjR2XmSbZatiRrnvcsbuLHJM7QVfFjmGNFbPHpcT +nz+Dy+AP4YOE/U/o/ct3jE2CL4aOMDeQM64t8B0Ogj/NWFmRa4xqjWqO7v3c +GDgv9r6qqaqtaeZ/yHfNU+2LwNvB05H5Ddmp7Nk97Rp1CDwN3CPtGlsDXs+a +1+HfQP5x1hYwVootnVTTsGUO+LuU39zAjO9Qd9kZ3DixjGTP8GZ3wWcZuwk8 +HxqbuKartsumDOsbJV7bGxvewJa3mN+W8h5vx66ZqiPSEcNPYs0e1g9E/wW8 +/aqs766c+YPwr6CjBXOTGXsHfjp0e9o1/i/0fcj6yU1oRMBfg7/KOtcrpyu3 +l0A3gWNk9iK7O+Pc8ipjbdlvBvNfwFfrTuHflO/TjqkVkXsO9R79GRsMvzAy +r5qi2qI9tbd6mE3w1+dcB59A5w0551Tl1i7MF3PeX2L7Tj4NsWUBOrYjuwNa +CL88cW+jM7VhvyB23KqnUm91FTI9GrvnGIDshqxrh2qWatc06HPwQfBU+Fuy +vlvlDOUO+US+0ZmXw/fN2Vb54GXsGRG7di1R/YjdU6nOdwW3gk8Sn+XcHUXO +4crlU1jzcOwaqVqpM5Wir1b1uNA14B72CnO+e9XwdM5n1tnVM/WDv5s1Ywod +M4odxYBiQW/scNY9m3o3yfRkr9HQnELHdH7smqfap56vDlwOrix0zxYljgHF +wnbkK2Pfke6qjv2/gd+ZdaxrjdYuiHw23bnuXjGoWNQb11vfkvVa1XzV/q3g +evAz4FmRe0D1gorBtlnHmGJNMtvg58a2ZZPeaOIarVqtHnheYh3SJZ8ui/zm +9PbU8zZP7CP5ql4ysXte9b7tGTsWu2dV79pa7wm+CiopdM5Q7lAPrl5cY9Wx +e3D14mfRt1H5PrZu+VC+VI5TrlMN/wjZo7H3Us5R7tkQe61qumq7zqSzqceu +VK2ObYv+CaZErimqLd0Ya43sEsZeUz8OPZr4H0D/At9rfeIarroln49Rf5M4 +NhdC4xL3+Or1pWNE4hytXK0cODKxTulWDj/B3EWJ91aPrl59buK9lHOUe46H +7qnLGnrW/wHzPs5s + "]]}]}, + {RGBColor[0.4799129124999999, 0.50704019, 0.5170638649999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNl0mMlFUUhR9FdXUVXf9QDdIYcQA1roy6QePChaDGuDGYOGzUQNsL5xiH +bmggRCbH1ghqUBMQZdRENNK0C3DhkChEhWiUbo2JpgFlSETAET2f56Iu/rz3 +v3rv/vede869t6bMumfm3ZWU0rVjUhqrcUpHSgsbKc3Ry756St+PS2lLNaWJ +tZSub0+povVpGlfqfY32v1KkdJ3W1mh8vZnSEq09o/EtPds0f0nj8Syl72Tn +p1ZKR1q2+YvWSn1nheyMkwMTy5Quk91Ojau1tqrm8xO0Z3zD3ztTv63T2Kdv +bdAzrPmI7F+lc2s13679t7altEf+3KynQ+ee0vp8rX/Z5v0Lqv7m8pp9Pag9 +Hfp+Q89q2bm43fdinBbzfXlKhfaPajynM6WpwmhY/h+RD/36/Xb5dVh2Dun5 +XJjtF5ZN2Vuq3y7X2nQ9yzRv17nz9Azpt56K97C+MPYsqfjhzOKK73GLnrzi +uPDdpZqf3eF3YtQKvO4vjBkYggMj75uTbc/4nw/MsTOj7m+d9GFK2B9f+twD +GrsCe97/0v3fEY6P5MYVfAc0vqgYvKHfy9L3J67E9APtm6v1Exrv1LNCZzfk +PjNOex4nXuLDTPHhFo11rTX0zNP6EzW/P5Yc29MavtdQm7GZo/kqfe8z3fOV +0n7VtOdtxXe07jmx2Zo7tgeaXmuPdTgL1o9ofppieqrufmOn1xbHOrhdHnH5 +tN0cgCs/Kr6LKo7zQPiJz3fIjyf1fptiManhuIDLzRFD4t2NLzo3nByH9uDD +XaUx7dHZY/L1Ya0dk+/1Du8hLlNKY/BQaV28oP0v6/3NwJ84ZNo3qN9+0Df2 +1q1dMMEvsAXXl0KbZ8jOYj33CbvHxOeuzLxvL433qtAU+KOxncn36orfejV+ +oW/ksr+9sK5u17hUfm+VzaHc+WJrw37dK/uDivUHivUNnebIQfnyoH5/SE+v +7PfL1vyqddeq2reeiB9x3Js7FpwhHt82fN8VyePWmKPzeVXP4R02sf2u5nOr +xu1G3bNP4wWyuVN+D2q9V/NbM2vrVa1taXj/8uSxP3zb3bB93sfHHtbxZ1fD +53aETWwfl93T5e9R+Fg6t9Q0zi5871d1vyuF5RV1x76r5pyL/rk/HII/57c7 +hugCTvE72GIbTnIfYs2e/uDwwtA7nJ9zkveh5Q81Lsutq/dzRJzShfrGicJY +Dkbs4DR2fy7MUbh6rLDf+P+0xt8L+/erxrbS/LxH86pstDWcC+Al2IAn3+Bb +ldI5BkzIMzuCc/Btcpv9Ro/ztH9E836N55Tm5FmlNYgdMDlaWIt3Rq3ADvYm +N8xp3v+M+3Jv1tdFrYGzs6MWgG0WObwZ70sjL3HHR5O/ybfJY92Fz8P9rNO6 +zTWOKf3788JnJHPuPlfrawtzcl1hDZF/0NEfhe/xnPa/nlkDl7SMKd/9s3Ad +gvs/5MZ4ZeQZahy8R3M8C4L/5AB4CIbkAOIIRny3N+ofeRQNoq1Pc+tkIDcH +sIUd8hZ1k9xF/AfCDjV3Y831ilyzJb6FLexzrxVNx/yT3P0BtXdHbq2gIfRD +vtoXOeu93Dn+j9izO/YdjpzTEZrYE7mV2BJL4gjnwOXewnWGOkUPQJwnBwfg +I7yEB6uivmwL3MH/r8J9BmfmFK5p1LbloUm0WQkuwsnHM/cu1N0JpWNG7F7L +fIaz4Eac8Z/cx/h5zD9qRc5vmtNwe2ppjqyOPoQcTT7c03LNwH5P5PtvI+fQ +Z4Eh/HwjMAf7uZH7eN/cdP5byRg1lFpK3RvbcOx2hU3iTt8Ht7jv+tx571Ld ++/Som9TPr+TT1dpzYe4ehzk+oid0QV6i9lKDyTvkXNbWNp0TtrWZE9jeHd/F +LzgEf77JjAW6IUfOiD6Lc5znXnChK+JDLnw4anRfZgy/0R33585X5N3BwIzz ++AueQ1GnOUdf1B31Hu0vinlfaIFz+Ex8D8T8idw+PZm7FlIT7yjcn9EPPFBY +V8Tiqdw9wFD0gcR2JPI9+ILF15nvU4k8D+/RPjnqtugl8A39dYUG0dFocIA8 +iEY3Nq0lNLVO81kt15tay/0Edf6U0nmCnAsH+krn4LNL94Lk5nrpM5z9OHq2 +gahHh3LrYkFhHr0deYAeinjBr0VRq4jN01E7VpfuoalXG5o+j51Bza8p7U9D +tjfm5uGm3PcjFz8a/SW1ZX3T8dkfmKDvsY3/eF2NGkQNXBh9HT6OjXW0SA+P +TrEzO+opOj0c+l9fuJ+gnz0YPT8xoQegJ3s5/lNwdjh4QpzgCrwFN2IwPXfe +nF84f3MejZ/8bwAf1sR/q5mZNYOv+AmPJkUPBi7gc7w0pleELsgBe4MDozHn +fG/keHwm3z8Y73Ojj/k3L4Bf6T3osDf61enRS8wOLQyHZsHkn96otF43Zcbm +cOBDnq1GLOj5yHnbQh/kVjTE/oOB/0j8h+uJ73QHntSvevSx5PVxwb+doTv0 +R44ZjfviB/5MVo56tmk8fit8nj1wLgstwRmwg6vLInbdsQ7W9L1ogNoyIf4X +ke/IHRfl9pmY4vfK2E9d3hI9IRgfy6wxekMw5L4ntZwFT45Gr3hT6Vy4K/Lh +jOgP4Q+2J4X9xfFfjvW/AT1GFLU= + "]], PolygonBox[CompressedData[" +1:eJwllEtIVWEUhXd67/Vx7z3nXCslyMI0GgU1qZlQQREFgUHZTKSZ9CAo1NIG +UUGJGGSTRprlG7TCRwNtUAalVLNKc1KQNSjIV1Ri324Nflj7sdb+/733OSXV +ZypOZ5nZEU6MM5Mym06YvYub9QRms5FZW45ZI8HZtFkH9lvsAPse+HxInPwx +uI/g9sG5HJNGN7EhfD3gKvT2EdubMcvJM3uCvYq9jMZG8DCcJfS7yb9kyvHc +9cTHscupWQjuIydD7kE474l3kX+ReJz8Pdjf0AypdwH7MHZjqNoz2WYN4I/w +G2K6o981geYutHdzitLiOLcWza/ES4lPgQ8QLwN342uNS6ML3BuoV8eI3wJP +wB/Opy6cXu72mDMJrsBXRewEGsXcrw5fJbiCmkez1YNDkd7gbxnFXkEvF9+g +6Y554A/Ez8XVg364S7ypBb0GchbBqQJ6l4THSYPv46vPVo0O8PNA2vXkPwNn +obkD7SbsNeAXgWbjPZ0A18PpTOgN/pZNkWbtvs3grdQoTapGFfcZhTMCP4+l +GgE3c8awb8MZgN+ZUu39uWbVvCVCY8C0QxlwbaBdGOIsotcWaRa+c+3gX/g+ +08s5+OXwf3I+Yd8g5w7aLfCfUq8de9Drhdpdn1lXKE3Xdo15uGP48rlrK/XH +Q2m6tmsukxuLpHWXeBy8gG9bUj32XvuMfdY+g1PEa6h/Hb0txMuInw3F9Tc+ +JPdBSrP3Hp0k9iVQr3xn5wLtkO9SIfZ38JZIu+ffQAl4Cd+VLO3QMniSc83U +4ynwD05RQt+cf3vDKWm5z2M7A307/gZ/S06k3fdvvA77daBZeQ/fgJvS+nZ8 +566SGxRot/yN/taelHavGf0a4qXES5LaiRm4v0PNZjv6f8DrIn3LvtNrwa8y +2gV/00twJfwNSc3kOHglFPcm+X/BC6Fq+T9iHrwaKuY7bP4vKdC/yTWKwdNp +zeL/nbBrQs3ae9bP3f8Bnjatkw== + "]]}]}, + {RGBColor[0.539107115, 0.56238831, 0.5664840724999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNl0ls1VUUxm9f2/dem/6HVsVoxFgLEgq2wEqJA8YYwWGhiQsTp7gRJdGN +JkAiCSYmYNyYGKcFJgoKlFFxiCZq4sIBoxIHOpK4UNxYXvuKYBX0+/U7BBf/ +3PPuPffM5zv39T78xN2PV1JKK1tSatU6Xk3pbFtKh/U1OlLq1mFR8f6Evmnx +TdZT6tP5ce2v6U6pX/ttRUofS8Cs9r6VnN2ih7W/XfR7ok9q/zPRq2v+Dd+N +og/E2TOij4r/jxavPwf9neTWdHaqK6VSekeqlr253fsL2qyH/UnxlxX/hl7S +YTkfaW9a9E+iX07e+ynkT+YpfS5ZL+S2pSHed8SzVWtF8rdo7ShTukZ0XWvW +k9Ih6ezqMT/73FkseTeJPttu/1bV7Nf7sntc8k7kPv+33TzzSvNcpDXpW86Z +fN3Ravp33b04s+yqzq+S7601+8LaFradbjfva8l5G48cYXtr8JCXNTXHvL/D +Z8ThNq0t4k9Vx+ARnTd095uQQw0Q19GI587C9NuFfcN/YnW/9h7QNyOe6wrT +v2bWXwmbH6ya73XJnG4zDf8h+Xan6EW6t0H76/WdaHF8ifOM5Iyoxr7oTGlP +5jxh65DWCflytb6m+Pfq7EvxjIr3lOgPdfcG0c265b8a8Tmj72t9t+hsQHf3 +5/YXX7EH26b0bdO3VOejuv+c7N8jGUNV53Kd1seqljVSt23YPNDpe9TgAckd +lZ17td5HfYr+ud3xHI4a3lFzDVAvG9vcA9TkgtL56ivdW+QpRc3Si/CQ87da +nXfswB5y0VS9rZKee3PXDnrowe2t7tdXRB9tt03Ys0j2D9R8Piz6aN11QN2w +B/9U3XWJzts7XZ/83q84f6XfY4rl3qpjRHx6tXdFp3uOHn8z+pz9pvYerVjX +fNFjrV4vD5oY8xsbwIodEZ+G/JmS30e03pO7xo/J1w2ZfawpVjtrjhv1Tp+9 +VTPm0MsH2n2fepnLq34fbPc+Pk50+Rw94x2uLerqr9L1cUZ67pKff4n/osxy +JkLWCfmysM2YiE5yhl5+g0/If1ZyPtDZ85lzSd+Bk501Yxn3wav+wKm9UT/7 +tI7l5p+fue/AD+QTb2QSN/b+jX36PIX8/ujvc/zEeSjqd3HUTLWwfPTsLozz +s7L3h9z+4jf4RW4/UJx+qTl2+DaaW++lYFX0Gr7Qd9N13z+WGbuPSWZTst7Q +3kntLVM9TBHHZJ+pF+qb+8SE+PW0mYeaoaYawYOP1AV+UVPcBdMWCDde1N11 +smuw0z3JDMPnfVGfxIBYEDfwBZxZjn+Z+7CvxziEnpeSz5EJPiGrjH3Ou4Oe +w6Sq6/bvwj01W7iHoI/HXOIu/Yjvg+HPkajtT7T+mRnrTylWe3LjxkRm24cC +p4n7wajbsbrrlVotIp49Ua/U7VW5a3Q8sOxo4BB4vrZiGsyfw6agf9SdWTCi +8MqMAWfIJ1jAb2Q1I+b41hd1/lKXMWW62xgMTQx255Y93uXZRQ2AMfTRQNgP +TlwTWAGughHn8GE4cGlXYTuJzQ2h43Rmv/GfWmIOjMTdm6NumcPkFHwDq7cX +fmfsKJxv8j4mOStqxlWwDl7ukF/wDt+ZI72lsenK0jbBB88K2XNY9HKtdwZG +gVX0Gvv0G/kejJr8LfNcvF42fJobizYFbjOj6E36+mTl/JxlPjFDH8o8Lxb2 +GO/Zw3fiSky2hF3D4S/66AXqb2fuOtildaX2ro0+wfc7Ou0/dtJvj8b7jzgw +d+iBjUGDe43APmwg/j0xS8/GnGU+jNed33/k56B0nCl8diZ8HAgbmJ3o7A29 +c7Vdt8y10XfU7feFdX6YmYdz+InBtVEDrCuDnukwHzyDsT8Q8wl9+IddzDby +jM6xsHkqcOzVwJneuHc4/KOX52XuE/pmc/Qn/UAeqH1yQX02/jf7RiIvvC3o +pZdjjhM36ubWqB/q6JLMtbNMdXVZZkzn3Q1O806be6+Fj8haXfiNsibek7zX +j4fvyyIm5HND5BH/muEj+N0M3J6Muc8++qnFc29j7Mbmqcg3cSA/24I+3eXZ +dqRwLl6PNxUY8EhgJjOAel2fOz7LAg+ZgczCj6IGZgK7BuPdgS+84Z+KtyWz +oz+wiBzNRJzJ49ed5+sH3eilZk/8z99G0OPd5j+Q2T/8BJfRtSTm8kRg6dJ4 +R/eHnczq54IfmnN+317azrsz65wMXU8XfjNtKjyP5sdcfjJ3L/GOG4pZzEw+ +FPmiZqi7RsyRltJ9Wylt75Z4462M+UKu6UtkQi/M/c5dkXtGMtfyHvuyNXLK +3sbQRx1MB+aDT1tD/rZ4J2PDBaXfeReWjn0z8sW7Yzb+901GzPvifbw2auBw +yJmJGbQ2evyd0u+Md0vrpg/B5Kn4/wD/uf8S2PIf8JRKRQ== + "]], PolygonBox[CompressedData[" +1:eJwtlElI11EQx5/b/6/ib9FSKQqy1CjI1JNtZFSkLRdvgVp0rKhLUlopBZ3q +GBV1CDLNXStB6VCHDm22Q+IaQdvJLCuXMvt8GQ8D33kzb968me9M1oGjZUdi +nXOVSDxSHzj3LuJcP3ITfNh3bizGuUH0JvRm9P4EO5PtVmC2AaQR/ALJJlA0 +6txLsJ/m3EX8uznzwJMpZjvDWQX3R9F/EGuE+634b0AqwPuQzx62VOdWJjrX +y/1J9HLsM9y9Sq7XuNuDDIM78K/DVkvMLuy3kTpwBzII/q438B0iRk285ZRN +Piew3wDHk9Nz7reiP0Qfx79F+YXOhbzfEudcNXfPI0PgHvzPYcvFp494P/HP +8S2GYsUhfeAC3/7+DXs+OJ//rCLXZ8QsBCdxdo8GVOG/i3hXyHF3Mjb0GPQ0 +5Bf2YvQM8H3f/qI/PgBncrYlajEXkVspbx4Cz/JmCfY55aDYxLycYjVRbT5w +doe7x5EGcAmSBZ7BPy9qNb+E/ydiVkasJ+rNSfRG7HPEGCTWes7KI8aJJvQa +7AcjlkMJtgue1aoN/RT6P+RrrOXkeC+CjKMXoSeBP+J/ndyLiXeMeImh2eqR +qtBqqFo+4j8D1G8IeQKe4Ow9+ebQ07NR6/EwsTqQNPBTfIbx7fLmMf9bhz7l +GbfEgQn0Qt96qT9vFLc5e5xsPVfv27z5t7lfJG7iswffae6/9a3n6n0u9t+e +5azcNyMLwJsC47b+qL82BDZrynm/ZzOkWRLnRtFnQpsNcWwaPI39S6z16A84 +Gho3VcNMz2qgWuQlObc91TggLmjGdoBz8N/J3dXEXOIZJ8SNtZz9Jd5e32qv +mql2y8QJYpdizwavCA03IdXgydD+Kg6Ly6qpaquedHpWI9VKNWz3jAPiQjty +WrMSWC7ilLjVi+TEW027iX03NK5qp2i3dPr2tzXINmIXpNosiXPiXm1gsbUT +tuK72DOuakY0K7GhzZY4KC4Op9isD+DTjD7iGRanxW3tKO2qZO5M4Zse2ixq +ZjQ7s4HVTj1Rb7SDtIu0Q8a4uzy02VINVcuFoXFBM63ZXsp7MRHriXqToB3q +7CwS2B/1V+2wLuKle8a1KeQN+uvAclPNXoHLPNsl2uHa5fKRr3ZmBrb/Y9za +Uw== + "]]}]}, + {RGBColor[0.609232745, 0.62626053, 0.6225373175], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNlllslVUQx7/e9rb3ln73uy2lpY1i1LC4JVKUJS4EopEl0YSIiUYTY+BF +qb4oD6KY+CpQ39XQloAIytIFNRQFlxeTliKaqCAFVwztg6FSlgT8/zp/og8n +55w5c2bmzPxnztz83EurXswlSTKjIkkqNQ9XJUmXRq/WPeUkGdDhG6UkOazx +Vz5JcqkONF8Tz6DGSa0bqpPkcV3eoLMDmquyJOkvxBn0h+pjvVcyevIh5x/p +21ZMkm6Nn7X/XGdnNX+muViTJL9o7NbdmdovEX2W5uEszo5p7isHzyfSOZqL +u9h6ui5k/y3+dtHWa1yVnGrduVN25jVXar5L46ie8rL43hXPb5KzvxS29Gg+ +oXm6eJ7V3c6q4Hle8p/R2VuaJ6RnjuhvYpvmP3V/m+YvJX+5eNaK/lgp7MCe +HzQvFe09jW7xbZf9KyT/FvE/LP8s13pEMs/pbId4XpCOCslcqfU58U4T/TWt +GzV/nYWcVyTzpO5u0HqPeNdJxh0aR5KweyIfvrmqs6O6N0f8MyXrimg3pmHH +g7VJciqJOGzV2KyzGWnImSfZzTpv0lgn+vza4AcfzZJzQbTWNGiLLYd7KxWX +XHVgZJ3tIYYHc/Guw1m8Z38a+jblwkfjop03/hZYJjqJDf5/IIs951Nz8aYh +jYsVIZv4bJeu2eBX/O8ngV1wsbEUtB7T8UHOGGCu9Br7c7b5ZCnoN0l/k8aY +7nxbCnt7jOE1+cDZsPx9WyFiRwz7jCUw9ajGBfE+Aa0usLVH64/lwxla12o9 +pjujGls09pUiX8ibG9Kwlbi1pOFzfN8qP7TURszmam5zjPB9pd9ALh+zrzqL +gR14jtj/xKHFd6drjOjO6eqwlT1yG3Lh40HXBN5eqAkfVvitxBQ96MMPHYXg +x9a8eKtrImduL4R84kYeF0wHYwuNM3RRXwbti8Zc2N9RFfrQdUhvGdDoLcQd +sAJfozEK/9uF8AG+a/NbeNM5y6EmNJmOT9AHXon7YuN8vmXPt3zuYQd3F/sM +zC+w/ayv2X58uNZ1kjW2Nhqf541b/LlHMTgjOz/K4t6I/Q8WxuxbsD3q9QXb +ip3UC+rGCeHkuO6n8uelusiPYcd9wDHYkUStgof82GQ6/icmZ6z3Yl3QqHPf +FCKW6KROUa9uzcJvvKXBcRlzrLALft5FfaIeUmOIP7qwhf24c5x6OKc2cIkN +I8bGbuk4pfWpuqjfrIkbZ/AMecZfQ47HMWNvcti34GqO4/KOZG3UnaezsBV/ +Eosu15xe1wFwg293FQOj/EFD5qHOrCoGD7j6Los/4NM0zsfNM0U6azV2FqNm +L3XdXib+/ZL3ahr2YjcxQtcHxcgHfNnhWFNvPhTPTtnTq/OeYvj315qoZcSx +rxD5AL7WOx+Ri+27LJN9R9V/ebTFa+QhF5tW5OOfu461g8YqGOi1XnSQdw3O +tS324ahxBsbgm5TrPwh+eoD26vgLyAdqTqvzrs11jDV+ww/4nH+B2obMFufu +Duua7rrEeYvp2IitvAUZuywHnYOFqOvHS0GbnYWNYAU7210P2BMzYofv762P +u/fUxzsO+S3EDz1z60PXFMe6qxh1dqIiZPXYt9SGZuOQeg9miGm5JnKSPX/4 +1Kr4w+ihyDlwOFAZWONv4j8/6z+d+HSan/8EX2Mb+9WVEZdF9SFzXxp50Oxc +63Ms4UH3LNvDDKao7fRv8CHraBY5PKS5rT78fLfm+7Kw4fc03jHbsi7Xxdu+ +z+If67ecpe59JvuNqqgP5At+RRf2k1vkGD4Yd/2ABzo0fEKPxd2vXJP4y/A5 +/mfd6H+DN4ITbCKevBHsjBqr/OXQp8n+H93f0udiS7/t6S9Hvh0ox5/Q7drF +e/rsw59KYRv9L9gBD+AMn/Nm3jvVd4jPGvcLYGPS98Wwgx5sm/FD3oItYkF/ +fcK9NLSdpr+exh9zvd9sd37NK0XfSP9YUYp/90o5/rom5w44bXX/sKwUNi3P +Yt9tG7CZ/2W18xiMcZe+eMKYw99d5l/oP7HJ+TDLWIJv1P/F3jTkLnLPCz6Q +T9+0xP/7kPHWW44earP7Q/6szY7dH2lgDwxyb4X7S3DB28HM/VnQ20rx3q3/ +8y2y+OeQ3+2+F3/ARy16qhS1+4ssemvy80nRHrGv8Bk4a3btulSO/u9yOXpD +5PP2TtcFePPWi/3/AkXj2gg= + "]], PolygonBox[CompressedData[" +1:eJwlk91rzXEcx7/n7OzYWef3/f0OTYhJ4sxTsXHHBSU7WyMrypILcSPjBjfm +hFv/AqUWF2ZPZzPUIuJGaWZTOGdryFNLKezsIfJ697n41Pvz/Ty9Pw/fNcfP +tp6JO+cakQTyN3DudqVzG6qcm4ucG0CSi5wbxqkALqeduxa3t5HQuSseH/w/ +od/DnuWtq8K5j+iD6A8CwynkFbZJ4ieTzl0g5hCxq7AvkG+YmCJ6MeNcDvsS +yPRiy3ur/Q3/x+A4b9/BBeQy+k9kGf5F9Alyv0X/EzOfd+BH3mLLyCi4BWkH +n0D2eaup2pvJkYTfCvLPUG+It/feOIqrYhTbFxi3i+gluL4mJose0N8Y+A4y +nbAeu8CHiZmBzwf0HvS5tPleJf6YN07iph7USzeyGFzirQ98HrkB3oP8JvYp +OTrANdR4Aq7H3oS+G1knzFs78SfRL8E1F1qv/fTTCD4I5+pq29EY/tPsqBl7 +J/m+4r8aqSC+GY7rsTXgvwn9JfewAzwa2i51A7Pw6fE2e3EW9+0Z8z2N3kGu +Xfhfx36T/F/Qt2J/UWUzXo7+EKnDVovPfeoVyDFRaTucIv9a4pvIVUYfwDYf +2W1qxpp1lrfZmPXQAF7AvhH7CPZ/gd2IbkU3qlvtDm0XU8jd0Gaq2WqmbdiP +eNvtKfj9SpsIq4dz3mai2WgmteTflrHZqqd68AFvs9fO98vf2270p/S3cvi0 +puzmV6IfhUNeXMgxjm+vt93rD+zN2Aw1S+1Uu9XN6HYiOMzDrc5br5qBZjEU +2V/UTeo2Pwc2e93IztB6Vu+aUQz/RGi3Lk7i1oJ0pmwHg9hriP8Rt5vR7Yij +uOptKbY3oXHRDsfBz0K7Jd3sc3B/YLeqHd6KbIfapWqoVh77lqTdXAnbf/En +qXQ= + "]]}]}, + {RGBColor[0.679358375, 0.69013275, 0.6785905624999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJw1lU9oXFUUxm9mJpNOnXnvDdIEESxS/6HL2kUE/1GqINaCi1RciHblpslK +u4iWDt3XmbUuE6ugommS0UUSDLpRF5pYY0HaxEaTKGgDWtuk2n4/v5PF49x3 +7rnnnnO+75x797GR54dLKaWv9JX1fborpUu9KQ3p5/4spYNaPyD5loza+qZk +82clpSv6OHi5ntKjstknm5LkH6H/IPf6Q8l2xWcmdXZR//W+lBYkZ0rWYz8m ++be+edm82Uipq/ufkc0e7Y3ouyR9J+7F31Y1pX+q9rFetQ2xTSuOFcXRlTyX +OZd98tOjM0e0/lY2/8n/Wa23C8UUNoebKb1Qdp7Tsrmtz2t8dlSTpPM39L+s +fC/KfkLnlnsd840ey6uxflt+v9b5dyS/0dmpmn3gD79nJN+IHB/WvauK/7T0 +o2Xv18NmNuyJYbJmP5x5SjKXfq5kn1mfY+b+l6uOgdphyz1Xov7UrVJxLtR5 +QXJRX798dBXf9C5jRD3gwdGy9azhw3jkOBb139Z3XGeXditPxXBK+rmaz2A/ +ULJPMDyQOa7HFddg2HDXc9IP674jmfOjXsTdk5k/OzyCWzel/z537uclpwrX +qBW2YAqXbq8aI2J4UHv92ptoGKNK5E4N4AR8gL+t2OsGf+7NzQlqAY9+rhun +j6U/lfneUsO4vbrbuY82vV6R7RO5sXhMckN2x7R+Mnce8JhcXsqM83XZf1c2 +Hju4jMV6veG6P5RZtxB4/dDnvOD9eNjTI9wJRujgHLzBz+e6+7r25nPXi/jJ +g5xbwYlfFMe2MFouzEVyouc7UX9qu6K93+RnKje+7ehr8ulEbE9XXVN8Z9FH +Z8JPO2zgZCd6f0053qlYf5fvpuRa1TGB58G4F46cCA7gG7tW5N8fucOL1eiL +/TG7mGHdwvrPGuYXdaGX/6qbv6/J5qPc/oe0fjGznv0UdZwP/1n05rvyuaT1 +e4V7CFzAkLpQn8nccwmcRgKvpcAMyT+1PltYUnv0F8JmXPrzWn+imDeq9okd +fITfcPsVff/qf1P+9/Z6fjEHZmvuQ2yYJcyQ2cAKzKg/84l5SA+QFzOF3PCJ +P3qWHrqjat1W3XnDWewO1XwX93AffT4S55hX1GIy5tXpmA1w6kDTGOyXnCkb +B3qQ+UGe8I25vhWzhf0UfUr/Lgev4MtWzP/3C9ftXMO9iw2zZiZ8wU+4fy18 +DgePiPHL3HPsi9zxogNr8qMmcOlEvGucWQzZH+/ORuByITMWP2bmJRymttRj +M2rySM0xMFfbcR49OrA+Gj1HLdi/Fm/c8eDPetw1kdv/at2Yj8a7tRMfOXCW ++zjPvGWN/8Oq1evy9WxhzrDGx9V4f5kj5LQeWIA/ecGBX5ue9WtNY46O/O4r +jNPeht91ODddGAdmQSV4tyfe8Xty48ObsBnvHHXgTZgLLjEvmWXMMXA4FPzE +ZjByuavhe7mfM8T0P/9qxpK+/Skzz042HO9s9AXvIfyAGzs1Yt2KdwHO4XMg +bMZibhH/xajHUNS+He8w7wP/1JN6D0b9eT+78Z7iYyD8MJ+Igfl2Cy4QceY= + + "]], PolygonBox[CompressedData[" +1:eJwlk7trVGEQxWfXfRF3772LIIpg0Cj4KKON4AsLEdSAhUoqSWVjrNRCBMHe +f0BL12jhY/PEIhpflWlEQwyIm9Xg+gAhnWaj+DucYuDMnZlz5jvfd7cMXTw1 +nI+IfUSB2J5GtIsRq7mIbeA/1YibNFTLEe/I99QjptZEzFYi9oKXk4iNpYhP +zCzS+4ies9Qv038i4xvRhesHPW3weGr8nRgD52sRT+FfJmbg2km02GM9y+wC +v9AO9F6gPkg+mXkXzUyAc8xPg4+g3099N9EomENcxzPv0kt9LfmOxL0jxD9m +nxBL1FPiPVoHU5/9HJqHwHOpa/JghfMNMD/M7FvOeCzxztr9L98WwBPEYtEe +ToL7iP3go/A10PrJPpsq3lm7N+HPsW+H+ij4Q2IueSpvW/TXK+b4gn4P357l +vfNUZg/l5Sz5HZ2lai7NaFaa0tZO2q1N/XxPxA36B6mPJr67dfQ0wf113+0q +GpuZ3UB+veCZq+DH6C2VfMe6a2lKe57617o9kTd6I9eodTN7/QuOHLXTxJWi +PTyZWFPaLfJx8D3658t+MyPgV2h0qa8QL8EFOAfofUPPLeqXEr8N9bymPkZ9 +oWyOuzpfzW9J3+6Tz9Dzu+Q39RzcW/NZp9n3I1xb+XYGPEd/I7OmtHVnnZo9 +k3fy4DNeNmvuFae4O3V7Ic/k3e3Mu+qOddd9qc8qDWk9SO2NPHkIPpD67Q3p +H4H7cGqsN/2N/D88FZPd + "]]}]}, + {RGBColor[ + 0.7494840049999999, 0.7540049699999999, 0.7346438074999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNlDtvE1EQhQfvOraF7bVpsg5pEFAABfkFASQ6SEODRIfpwRYSiYTSpOAP +xK5AprENVIZAkKCIFAg1SkeD8oIANRVUnI8ZJIqre3ce586cOXtPtO9cu10w +s7taiVZLH12t9zpPpsxmtT7LsdcwO1Y229W+WzeryL6jfZKZHej8XPtYvjw1 +e1kz20g8JtG+I/vvI2ZfqmZD+RJiFL8v//mK2ZbueqDvj0WzgTAXtN+Ub6y4 +h8rdUj2p8p7o/Klk9lT7SHmLqueXcK+XPDfVXdPKKaRe/xlhXZb9nPZW6rib +Bbcta3V0non+2lqDovuwg32v7Fj4iJmRfansPnpYU82Hyn+Rec503Js3Pe5b +0/sk9pX216qjqPN63W2Lgc/irlwYFzPv/ULmd96Ke1mtmEse35zPRo/0elB1 +nuEbbDgCl77hkt7nKs453P+ouX0+85lvBiYz4w7msqr8r1N+N3XmEQMGWO8K +PjP4f6z9sOm9Mec3queD7Kuy/9Q6LpyK/N9rzvWlzLmDw0ehnfmi83i07thX +G66vYcVnTd9wQj3Y56IX/KOIYR9G76xhxKBlaiCfe1ZSv2tU87mc1J3PGq6N +NdluNBxvr+paR88ldFt1O/52zCcP/jrBD7qahLbQJTxSM73CJ5pmx76t+Puh +GbSTR11gMZ9BaLInf18rS7xv+oejYZz3/8MFE+6p7988//rN/dSBVloRzxk+ +ktBjK/TSDb7T4Hwj8MDpRS3bcaYX4qgRPWTRdy965N+Fd/o7JR6v6N7ToT2w +qQE/7wy19CMXzOXI6wTP4zgzt27kgofWqZ2amTW58MA82mHjvcCONuAkj393 +JXpfCM3xtqFXct5W/Z9aijeH/vpRWxLvRx71tKKm9fjf0Rc6mA3t/QEMpKxQ + + "]], PolygonBox[CompressedData[" +1:eJwlkb8vBHEQxR+7e0eyt7t3lV+JCBpqrSO5Do1GzR9AKxGRSPgD0BG6Q0XO +b4VCqLXKO8ehRUPlM5niJW/fm/nOzNuBhaXZxXZJ/SAEZwWpC7IaSceZVCs4 +r4CRRBpPpSr+fE6agE+C/ci1T2rLqXszaGPUv8bSX5vUQqvh/aD1wU/ANd4B +30/UzuWlHXidmaUO5qC94V/Qsx661sBroP3y3jLfK0XpHD8IvcZqrcd6n3nv +MPMdbJcp5g3h50En/C6Q1th3OHWvm/4rakcTv9Vu+sDfy3z3B0LahQ/iR6Hf +1Iy9x3pNu4RPU3NPbdMygL8XfVfbsQU/Td2zG17ovwW9Oc/EstkGj8wO2G8r +cRi3nevwo8xvs39UzTxDy7IHfCUO4/bGTeyZWrY24xu+wfw08Mw34f/Cc0dK + + "]]}]}, + {RGBColor[0.8083606666666666, 0.8121846666666667, 0.785958], + EdgeForm[None], + GraphicsGroupBox[{ + PolygonBox[{{333, 328, 286}, {2127, 2128, 224}, {3826, 224, + 3256}, {3974, 1717, 3973}, {2128, 2127, 1478}, {1478, 328, + 287}, {328, 356, 287}, {3730, 1476, 3731}, {328, 1476, + 286}, {3257, 224, 3826}, {3256, 224, 3828}, {3827, 1478, + 3732}, {3808, 1476, 3730}, {356, 328, 210}, {3828, 224, + 3258}, {1476, 2127, 224}, {1478, 2127, 328}, {328, 333, + 210}, {3732, 1478, 3743}, {2127, 1476, 328}, {3455, 1582, + 3847}}], + PolygonBox[{{3731, 1476, 224, 3257}, {3258, 224, 2128, + 4361}, {3847, 1582, 286, 3807}, {3743, 1478, 287, 3742}, { + 4361, 2128, 1478, 3827}, {3807, 286, 1476, 3808}, {3742, + 287, 1717, 3974}}]}]}}, {{}, {}, + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3455, 3847, 3807, 3808, 3730, 3731, 3257, 3826, + 3256, 3828, 3258, 4361, 3827, 3732, 3743, 3742, 3974, + 3973}]}, + "0.8260000000000001`"], + Annotation[#, 0.8260000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3332, 4251, 4252, 4017, 4018, 3300, 4319, 3299, + 3619, 3493, 3765, 3766, 3767, 3877, 3876, 3637, 3903, 3904, + 3902, 3561, 3905, 3560, 3627, 3625, 3626, 3506, 4265, 3507, + 4262, 4264, 4263, 3301, 4320, 4321, 4021, 4020, 4019, 3492, + 4582, 4583, 4376, 4475, 3297, 4186, 3298, 4016, 4015, 4173, + 4172, 3595}]}, + "0.767`"], + Annotation[#, 0.767, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3454, 3804, 3359, 4134, 3358, 4403, 4405, 4404, + 3452, 3914, 3453, 3657, 3663, 3662, 3670, 4014, 4013, 4012, + 3585, 4347, 3582, 3624, 3623, 3635, 3329, 4331, 3559, 4035, + 4036, 4037, 3701, 3316, 3674, 4034, 4033, 4032, 3505, 4261, + 3874, 3875, 3763, 4429, 3764, 3761, 3762, 3296, 3825, 3800, + 3801, 3776, 3330, 3712, 3713, 4277, 4278, 4050, 4051, 3321, + 3678, 3322, 4053, 4052, 3513, 4279, 3594}]}, + "0.7080000000000001`"], + Annotation[#, 0.7080000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVzr8ug3EUh/EjwdT6MyAVBkNZ6dZg07QdDJUYJCwugMXUJlyIO9C0Gjp0 +4g5QTFq6YG5iUBJJP4Ynz++c7znveZcOj3eORiKihPNExP5kxPNExGwy4pFn +uDQd8eS9ImtORbT0HrzbGNg5kH3zvfoO12aucKZ/ilvcoI0+Xs3WuYYGtnz/ +knPck3X+azey3OAu13nPzJf8hN/Vm2598jp/8AZnZGks40/vx3/84kJWxZv9 +Xdk28iigqF9A2fyaWxmsIqWeszvPL+YqPGquKFvwTssWuSMb1x/DEGStMPg= + + "]]}, + "0.649`"], + Annotation[#, 0.649, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVz7syQ1EUgOEVhctMEoTQikRPZxQaZbq8gIyWoTKYcalUNBr0bgnR8hI8 +ACKPwIxb3PlSfPPvvc7OPjm5mYXSfCIiptlPRiR6Itr47TbQP90z/9YfPvji +k13zp96IZipiUt/1WV91OR1x7cwVb/ZNd3WZFbVkf2B+yBFl+5FMRF3zeqcF +nXU+rSmSvJiPmY1y4z01+3E911vd0k33b+uqe9dYZ8r5C//1US91w+zBeocz +TqmbV81r1vd+P2Fdsa4yR8X+hGManje8Z0U7dFDbW99HJ4v00U+GAbIskWOY +IQrkW/fwD+RxOGQ= + "]]}, + "0.5900000000000001`"], + Annotation[#, 0.5900000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVz7kuBUAUBuAjQWVvbfEEnoFapXFVxBaxXQUFL4DCFtEIiX2NxFbQ0HAl +lvAUtlBxr8b2Kb7Mmf/MnMlUtSTr+7IiopP+/IhUccROXkRvUURHYUSGND32 +2/Jua7v9B+902W/Ja937LYgY45IUP2zq1eh9q0e54JwvNvRa9HK55oqMLKP3 +SZpG8xNUq9f12rw5oj7hmFfZo/WJB16oM+fZ2ursmv40S2Yss8gqK+z4b1lJ +RDmlJGjgzflTd8/+/0c3u7IZbsy9ZZwJ9mSz3KnvmWSKfdkc2d7JIWlGPwey +eYpkxQzIBjmULVAhq2RINsyRrNl/mvgDMRNFDg== + "]]}, + "0.531`"], + Annotation[#, 0.531, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3215, 4081, 4082, 4078, 4080, 4079, 3214, 4076, + 4077, 4073, 4075, 4074, 3213, 4071, 4072, 4068, 4070, 4069, + 3212, 4443, 4067, 3341, 4065, 3340, 4066, 4442, 4064, 3339, + 4062, 3338, 4432, 4063, 4273, 4384, 3511, 4041, 4042, 4043, + 3676, 4040, 4039, 4038, 3510, 4272, 3592, 4170, 3409, 3998, + 3999, 4000, 3423, 4642, 3545, 4640, 3544, 4641, 3689, 4619, + 4618, 4489, 3571, 4715}], + LineBox[{4216, 4124, 4125, 4121, 4123, 4122, 4214, 4110, + 4111, 4107, 4109, 4108, 4212, 3798, 3799, 3797, 3843, 3842, + 4210, 4211, 3790, 3348, 4099, 3347, 4424, 3841, 3447, 3787, + 3345, 4088, 3344, 4423, 3840, 3443, 3784, 3343, 4087, 3342, + 4422, 3835, 4427, 3439, 4201, 3490, 4250, 4001, 4002, 3546, + 3618, 3617, 3690, 3491, 3668, 3751, 3750, 3368, 4142, 3819, + 3820, 3412, 3821, 3963, 3650, 3411, 4631, 3466, 4630, 3465, + 4690, 3666, 4665, 4664, 4613, 3498, 4712}]}, + "0.47200000000000003`"], + Annotation[#, 0.47200000000000003`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3436, 4200, 4199, 3938, 3336, 4061, 3435, 4198, + 4197, 3937, 3335, 4060, 3434, 4196, 4195, 3936, 4059, 4058, + 4194, 3235, 4193, 3935, 4057, 4056, 4192, 3234, 4191, 3934, + 4055, 4054, 4190, 3233, 4439, 4438, 4354, 3433, 3640, 3639, + 3209, 4339, 4340, 4338, 4342, 4341, 3570, 4336, 4337, 4333, + 4335, 4649, 4334, 4711}], LineBox[CompressedData[" +1:eJwVzrkuBVAQh/HR2GKvJGJLhAIP4CpI7A1CI4RCJ+EKEjQ6VCqxFrZeonfd +whbhBTyAwlqgsjR+ii/fzP/MOXOqx6cHkhkRsYSx4ojFwogFzKMsP6K0KGJU +PqefxQxK5QOyXGdpJNTXsjP1FY8XRFxyh9kfbuNvbufdvIgkT2ESF/KUe+fc +pf/lL32negTD2HDnBK32tKAPvViz5w6D6lteN3OMG/2Md5LemeWEsyb84OL/ +bzjHN75Qacem2S1UqA/cqeJ77+zKjvTbfMg7fM8NXMv1XMeNvId9HODM/TRe +/WfIjmee5hdOyU/xZO4RNfJXu95QgVV8mpuTr6iXUY4He144U15bEvGuz+QE +mrEgz+FsZOHDeR2/2dGDfn0nd6MLE87+AAObSKM= + "]]}, + "0.41300000000000003`"], + Annotation[#, 0.41300000000000003`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV0Lsyg1EUhuFlKHP4E+eKqIxTR9K4gehojSIawnABWmQGEZUc1K4Ck0qF +Lgr3YoxnF++8+1tr7bVndqVxvns2FhH7aOUi7ksR6/mIJd7gDv+hjTW5wqs8 +UYgYx528Iuf5BKeoyk0+Rg63uME7FtxZxK+ZEr95c5tfOeNv9V4xoo8BjtRG +ejPOs5jENKawo/ei98QDFNQe3H927jqX0w45S/vSe1zX66OXZtBRny/LPMdd +LqZduMCjvMeX3Mr8D19zm394xDV7q7gyt8WbGKp/6n/hAw27D7GMAzTxD5He +LPw= + "]], LineBox[CompressedData[" +1:eJwV0rtP1EEQwPExaqG8lFKIxIgJD0lQCdhYKGojxkQEC7GxECnuIBQUYoGg +gPEFHFSKlYVaG3xG+SckNBSiIiYCUlghHp8tvvnuzM7O7G/vDlzrvpjdFhHv +0VgcMbk34lhRRCU38BTnkcNR8UE+wg1qt/OEuJ5LuBs9OC7OcgbFGMcY1gsj +9pVGvLDfJH7J8zzFV/R7zbc4z6U8q/7VnojPfKckYgj3xKO4oOaJ+Cmm8U7u +LaqsC1GEApxHCwbxSZ9m886lM+lb072tP/JuHuVdPML9erWouS0eSHOsc/IL +zn/gHdyBLns30Ilh+ZvO3eU5exPcmL6fv6Q3MH+T/2EDFd5iP2btH3a+DtWo +RQ3uq3+OYbPPIpP6c5bz5kTqxf+xiTP2HvIjPMAYHmNafY4nMY5n6XfjOa7m +Sq7iQ1zD3/EDS+lN09ti2T2y+i9xhn/yG/kZfFO3iDL5X+60qE85D2IIvekd +eQBl+Gp/mXfKr/GKuIJH0Cf3W7xuvcYneJX/8F8zT6fvxEk041T6P8hf4ja0 +4jLakU9592tDO67iuvfeAkiWaZY= + "]]}, + "0.35400000000000004`"], + Annotation[#, 0.35400000000000004`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3428, 4399, 3429, 4547, 3333, 4545, 3426, 4398, + 3425, 4544, 3231, 4437, 4436, 4353, 3427, 4546, 3334, 4188, + 3431, 4187, 3430, 4548, 3232, 3923, 3922, 4189, 3432, 3733, + 3734, 4691, 4692, 4657, 4658, 3282, 4694, 3281, 4656, 4655, + 4684, 4683, 4689, 4693, 3283, 4660, 4659, 3400, 4685, 3605, + 4682, 3395, 4651, 4652, 4653, 3417, 4609, 4608, 4502, 3394, + 4596, 4597}], LineBox[CompressedData[" +1:eJwV08dvz2EcB/BHS0SCToSbg9ESThTVqUONrqQ60QpXbWnLQVsUEf4Ae7b2 +ONhaq+VQQuxxI8GBA+IgMQ5e38Mr7+/n83ye5zt+7cRVjeVrh4QQfpKaGMKv +hBA2jgphjOtE2RwfQpusjAuhimoujgxh0FyLfqP1Vtkkd+r1jnaQ+rbcxWrn +7Ja59tW5Xs58MvjrnJXW/sksdSY1VFNLMSXMYjbvzJXKHHLJJo8F5LPCfX+Y +aYju43qcszNkvfqhfrHrweie0TO4Hh49o/qP5/5NnP4I/aEyjaN6eerJ8giH +eWB+obWi6PuQTBJv9eud10CvPbFmq6gmRy+bEt+olGLKKeO7fb1m+pjOTW5w +X/+8XOKsFLlUXpAx7nVOLlZPlYvkWZnp/Cxq1OPVm2inTt0pO5hArfq6HGv2 +tCyKfuvoN+eNe56Rr+UGmcwpTpJt7qM9n/nEIzNl8q53uMcdBuhnptnNcgvt +vLD/Gc+j51J30kGKuS65ja28sv6SUuc+dX637OEWfbSzx/pe4mnmsblL8olc +JxOi7+3cfdHzmz8mC9RJspU2CtUtcj2J5KtjzG53xmV1hTpVLpNXZKxvfi36 +PdXTZKW8KvvNH5fdTOEEPdG76s/zPumkMZc57NDPc5+vrt8744v8EP2P6TXx +zfpB+w8xiQPsZ0C/wDMUEk+6PQlyRvR3bb1LPUw2sEbvP9UkffU= + "]]}, + "0.29500000000000004`"], + Annotation[#, 0.29500000000000004`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV0EkuRFEYBeBrRPRigiAxl9KWhLIKS6AaI2IV+r4ZYw9WgGpUX6WbobAN +8b3Bl5N7/5P/NROrmysbbSGELSrdIVz2hXDFCafk3K31hvA5EMIX+f4Qniiw +0BNCXZbknu4+B6T1j+URh5TNG3pD7odpOM+5b8p5mZctuwuyS2ZYZ1n3W1bd +J+QvP1ScX+17o8kLzzx613j0Xuzau8M2S/qVaA8dJLmLvku2U6bEot61Z95w +S4svYkzZM02MWWao64+bjZEgbUeKTnJmHzIra96nKKvRv5OTun+e/+5ccz6z +65wLMmZFs1EZN8vq5LiPvo8HKmR1RnQCKZIM8g/2NUeZ + "]]}, + "0.23600000000000002`"], + Annotation[#, 0.23600000000000002`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3204, 4234, 4235, 3868, 3484, 3869, 3458, 3671, + 3494, 3705, 3596, 3597, 3495, 3873, 4426, 3362, 4135, 3363, + 4147, 4148, 4146, 3391, 4528, 4529, 4375, 4474, 3291, 4473, + 4374, 4527, 4526, 3390, 4143, 4145, 4144, 3361, 3805, 3360, + 3806, 3921, 3716, 3715, 3714, 3457, 3848, 3456, 3867, 3483, + 3864, 3866, 3865, 3878}]}, + "0.17700000000000002`"], + Annotation[#, 0.17700000000000002`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3203, 4589, 3562, 4412, 3563, 4590, 3509, 4270, + 4271, 4267, 4269, 4268, 3289, 4314, 4315, 3897, 4317, 4316, + 3518, 4282, 3517, 4574, 4599, 3230, 4600, 3920, 3919, 3918, + 3325, 4542, 4543, 4397, 4541, 4540, 3290, 4159, 4160, 4156, + 4158, 4157, 3629}]}, + "0.11800000000000001`"], + + Annotation[#, 0.11800000000000001`, + "Tooltip"]& ], {}, {}}}], {}}, + AspectRatio->1, + Axes->True, + AxesLabel->{ + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + AxesOrigin->{0., 0.}, + DisplayFunction->Identity, + FrameLabel->{{None, None}, {None, None}}, + FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines->{None, None}, + GridLinesStyle->Directive[ + GrayLevel[0.5, 0.4]], + + Method->{ + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, + "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, + PlotRange->{All, All}, + PlotRangeClipping->True, + PlotRangePadding->{{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, + Ticks->{Automatic, Automatic}], + GraphicsBox[{GraphicsComplexBox[CompressedData[" +1:eJzFfQdUlEnTLmvOYc1xzWFNmLNlzjnnnMOuWTGLOSOmNWdFERVEFEEJEkTy +oAzIIAwMDMOQzO6a7iwvT/fXPTv//ue795zL8Zy2+u1Q1VVdVV3d01175u8j +5+SzsrKqVsrK6u9U/rOvN8D0z4VE2JfBcW5LTP+Cpe8qBud+jotm8Cslg8GH +c8snMbju36C9jsH3c4unMrhfbgcGBsfmtmdk8KJchDIZrPzlSDCn659TXwaD +PvG7isGgDzDoAwz6AIM+wKAPMOgDDPoAgz6RLzkSzPn0z3TxVKTPV6LPV6LP +V6LPV6LPV6LPV6LPV6LPV6LPV6LPV6LPXO7+mU+cLjkFfYBBH2DQBxj0AQZ9 +gEEfYNAHGPQBBn3ivMmRYD6P/lnufM3oEL/zVOSfSuKfSuKfSuKfSuKfSuKf +SuKfSuKfSuKfuV7453nka8YXmQ7Acgr6AIM+wKAPMOgDDPoAgz7AoE/UazkS +zPXcP+sFXzM5k/ki0wFYTkEfYNAHGPQBBn2AQR9g0Cfq6RyS9fb3H3//JTD6 +RNiXwaBP/K5iMOgDjH4Agz7AoA8w6AMM+gCDPsCgDzDoE2Ful0CfrOdkvSDP +I1nuZD4BllPQBxj0AQZ9gEEfYNAn2tUcsmRnQZ+st2U9J+sFeR7JcifTAVhO +QR9g0AcY9AEGfaKfkEOW/AbQJ9shWW/Lek7WC/I8kvki0wFYTkEfYNAHGPSJ +fk8OWfKDQJ9sV2U7JOttWc/JekGWM5kvMh2A5RT0AQZ9oh+XQ5b8OtAn+wmy +XZXtkKy3ZT0nzxtZzmS+yHQAllPQJ/qlOWTJTwV9st8j+wmyXZXtkKy3ZT0g +zxtZzmS+yHQAllPQZ8nvBn3/7MfJfo/sJ8h2VbZDsl6T9YA8b2Q5k/ki05Fj +lir4XWKpgr8HSxX0Aliq1ItgaW41+xcsXZxbMZ6l/XMb1rJUoTeZpUq5FJYq +dkvPUrvchtNZWie3nwyWKnhlsRR0WEl/yFfwiGXlgKcMo94/t8vHDe1hvFAf +ML5j/PAdML5jPMX+I9h3eXwB/xtdoEPG0xLeMl4y3jJeMt7AyxLeyEf6b/nA +X+YT+CLzSZxnWSTni3jLfq15u6Jf6yH5sQHS/I1gsMyf/9t2ZD9ZHi+ZDple +6C0R9pXkIFj6rpLkIPr/WTuAFX33Kq+eI4MV/L0ZrJQPYnDusNSLZHBus24v +/5+1A1hOlfazWarQZ89SUd/Ys3oK3W4MVj77Mfi33M+hUj9R/3U9Ge9cdfpD +zVJxfHIYPeI4xZrxSabT0jjI5eVxE+dptJkdQT7mvSz/yFfso4aloA/jAFiU +D/N8wKIejDbDwxJdGA/ggXIyXkgtlRPHV7bTfNxF/nE+QL9ADyAV813MviMf ++siSH4D5Ln9HPvQXyiNFPvSD/B354D/KIxX1qcrsO/LBT6Si/xGb5z+9tiDn +vBzWz8i35NcAFtf7yRb9Hvh38nfkww+y5CeJ61L+XYwj6C36VfAf5e/Ih59l +yQ8T4xH8O/Lhl1ny2+Cfyt/F9U2WRT8P/qz8XVxfyHLuIsmxm5RyuUaKfOhb +pLIcI0U+9DFSWW6RIh/6CCnkAfKklEtkqSxHYhwmOQ/vJJbKcoMU+Up/PJXl +RIxH6fP64aksF0iRr/RjYKksB0iRr/RjZKnMd3GdmJXXD0/F8b4k+S2XJPvg +KPHBg5UHjPKQF8DwK0R7FSDZjQBWHvIDGH4IykN+8B3yAxh+CuiwRCfoQj3Y +DRFvKyv5u7wesDQulsZBHKcAi+NiaRzE9iJYeUvjABj6XLavsp7/N7oBww7L +/o9sx0W76ij5A45mKcYN4yXDcopxwvjIsJxinDA+Miyn0DcYH4wXUtAr5yOF +PlLmtdYMllPoI2VeJ5vBcgp9pMzrVDNYTqGPFD2SZgbLKfSRay4e6WawnEIf +9c3FI9MMllPoI8wfyB/4DnkR51kw4wv4J673tNI6IFHyL+JYPvgn2rdLEuzC +5EqUxwgJ7whmF0W75sf6Bx2AxfmeyOaN6M/EM1jcP0mS5ClF8rdSJD8qRZIn +vdSuXvKb9JI8pbN2AYt+kkGSpwzWLmDRLzKyeqKdSmew6AdlSfYugMkLxlWG +wT9ZryNf5CfWBx6S3eD+DvgJOZT1h1JOJcmNJbx8zeTaEt4oDxjlxe8qBot+ +cjzTL/K+DOQFfAS/wSfwW9wn0Ev7axwGP+F/gJ8K9TkMFvfjeBxW9lPBd+Sj +nDjfLlmYt5cszlPIlxhHS5HWKXoGi/Ifz/AR18FZUv1kNu5oD+ON9gCjPVEv +ZEnzmesB1AeM+qJ/m2WmRyzpCRF/83EQ/W09K29pnGQ6ZbxlPaLwJ1uyM/Fm +4yLTaUnPoD3YGTGulmXGN3nc5XGUx0keB1lvoV/gATumwI5mfoNst2W7LNtd +2a6iXVHPxOTlnzbz+0S98d/rGdgvwNBfSJFvKQ4l8sHNzE/85/xLLF+e/5bK +QW/LfiP0AvS47CdCnwBWykdJeiWKzXOZPthnwLL9lvUyYPAdcgG+Qy7Ad9F+ +upn5K+CngudTlor0wO6EsFTUG1pJb/BUjpvI6145LiKvc+W4h7yuRT7oxfwS +5VNef/L1pGwnRDm2JXGe/Hs7opzHmLUjyu01lirZsDsqisn9D/Zluf4R11Up +FuxHiqRX9ZI9Mkj+jCPD30r4i2DyghR0i34494P/53bkuGa0NH45ZnpYPjcC +fSD6lfGSPxIv+RvxzF+Q44/yOQ2MM9oDjPYAoz3AIv5aSZ/pJP7ppHMH3O7J ++/D4jvZley3jLe9ry3bJ0rjJdMt+neiP6aXzUdzOWeKDPI6gU7b/lvxG2Elx +XRBvxgd53GS8Zb9TPh8BOsT9zRwzPst8Ec8FcX8A38VzNVlm4yjHbWW/WCmv +ZSn8ADk+AL9StHv2TH/BDij0xLMUfobop71m35V8PUthf0T9nca+K/kGlsI+ +ifo8nX0X42aOkh5wY/pTyXeX+OPN/BhRX8vtXGPfZT9IHBfeLmDFHj4msXw0 +2x9R5AF2I5rBSn2+j4J6yEc5kU7udwBG+m9+R26x/4hLQd+K/pTWbJ8CdkL2 +I2Av5H0J5Mt+hmyf5XW5OF/d8+hyZXjJ+zBiXAJxhxRJT0AfoL8M1q8cR5Lj +3mIciqcKH1WS3xjF5EqUo7usPPgmjr83Kw96ASv88pHOLwew+vA3xfmskuY1 +x0vs966Z3yHODw+pXzczvAFbwlucDwGsPVGOOR1iezFm8xJ0Il+BbRk+8CMw +H5X2nkrtYz0SKPmrCUyfiedwk5heVcpzWCmfnDcvuH5T5MbI9JfIB37uXpyv +KnqQm4ZJfpxWiiNdksbPUfLX+e8awEf0g3ECjHZRXtQnIXl6yV9a12vZfBb9 +ySyWL9oxbp/l85bQRwo+PAV/obchf8BflEcPSe+7M3mBHMj50LfgC/QuYFHv +qhis9M/3Ey21Y6ne/2wHghhdmC+AwQfQgfYVerBvn2hh3wDr40Qm35bitvI6 +QY7jyutKed9SjuPK9kPet5TjuLL9gLxAv4h8TmH+DGDxfLnOzC4ARr9yPERc +F5jbDcDgt6xnZT2J+QQ5AQw5AQw5gL4CDL6jvryfCViUq+cMhp5DfVHfREv7 +H2pJH6qZPkJ9zFfUB4zymL9iexH/Og6W6Jbnh6VxsES3iFeoxXGwRDdg0Glp +HCzRLdb3YXQCX/QLPwPyCBjyiPU+5E8px+VRtH/2DIYfCz2J76L+CMnL5/pB +tCf2jB+Yh+L4ubF2RD4mM/9YPEcTx+yqGNdKlvxQg7SO4b8bUNqB/dFL6wQ5 +npHCYFFfGZlewniLcSejtI4xSutXI8MD+kGEs6R1TZbkl3J+Io4DGHZetM+O +jK+QP/jv4rgks3HDuAKW9+fwHbD4+5tXDA8FL75OktdN8DtE/yKSzQPgL/st +sv+B/kR/zVHyc3l8UpTvKAbL5cR+nkr+TojkN0VJ5aMkf4rDot7l9l7cJ9Mw +f1H+XQzslhjv0UvxKIME87g91v8KPvxcqWjXktl3yAFgUb6TWT35HK6leoBR +DzDkQl5HY5xFPcnj/aK+d5f8P34eUZzfRlZPKRfAYJS3lA9YaS9V8g+4vwC9 +Ahh+PmBRblyYnynLJ+Tqn/N5PTGeyeNKGGfAkAPRn7eX1v18PwTzAfoI8glY +9vcgf5bKyX6/+F1tlv7bvIE9Fc9/xkt65pLkb+olf9JgYR17ySwfsDh+LpLc ++rHxls9zy+dm5N8Jif5ytuRXGqR4wzXGJ9HPd5P2+eKlfT29NN9l+nk8QrTX +MdI6/t/LARb9tJdmcS5x3qQwumFHYe/g14jzQI6n8HgJ5vH/tpxoF7yZ/hfP +e4Uw/azUS2L6Rj6Hg37F+eXB2kE5jB/4qPijD1gqzgd+LlX2f0U+cP9MPkcq +x8HkuJeob/0kPcvXD/J6AH7Gf1sPsBgHNLJ1uTKetlJcj/t/sj8n+2eyvyX7 +T6K+4/od7QAW5/8lKV7Cf2cixh/4+l2M7+uYHZTtOWB8B51Kf9ksbmRJz8h6 +xZJdgD0XfwevZzD0JWCMrxj3yjL7Lq6vsyR/kZ+Dht0C3jIe8j61jBe+/7O9 +M5rhhfKQM5kOfMe4y3TIfhL4LeqZ00xPi/trr6XzI2mMDuCP9kQ95chgtAt9 +gfblea+Uk+M4PG6p9JMo2QVuJzBfFDiZ6T1xH1CXp6d4qtBpZKnCj7sMX8xn +zBdR/zoyfYZ6gGFvRT7x32+jfZEPwRb9HFkvozz0qKU4qLifweOb4r6ZUZLr +LLPv4nqLyxXKyfvy/22/cj/Qo5Aj+AGYL5CPf963k3/vyeOu8viLsK+ZXVX0 +Po9ziHH4YDO7q7TD4yCI24hxiERml8XzqFx+lXI8Lo/+gSfaBx4K3iEsFf1I +eZ+SxxfkfUnMc6X9KywFn8XfjaQw/MR5wtdJkEdxH14r+XvyPrxWOvemleKY +Wsn+aqX1pFayR1opTpEs7YPJ++Zcb4rnzrMkO8vXCbIdtFROxMvyvoL8OxbR +3vD9E9GfC7GwLyX/fo7HtyD/VsKfN9NXoh+hYn6duK+hYjDKwb5hPoIu+EPi +OMUxPsnnRaDHIQ/y+S95XSneZ5JtJnfifSDZZnIn34MAPsCfEf29bDO5lOVQ +9l9E/0fH+Cn6c0lmfoY4nua/ixDlI1lqV2eGhxIPRhyEj7PsF4nn0JLNznGK +v1fINjunLOcDxjoJ4yiv2+IEe+corR+vSesR830mlFey/dl8QTnoUzEu81Ty +X9xYPUvlAIvy91qyf/BrtMwOWCon2lXzejgvCX0uxt3czfwYzGNxf0wr+UnJ +TJ/Lqaj3U5j/JO6n8XyUE88l8FSMO2cw/0s8P8HzUQ56UIzzQG/yc4PieQsu +Z6gPGCnKKex+afb7GsDKuL5gfgTKQz5RHjDKQ17RjqV+0K7Yj6PFftAuyovx +ZHvJDvD9DhF/f8k/eiqde/BjsNI+9u3us3ii7G+L9snWgh/txr6LcmrL5pXi +d3H7Ar6DjzLfAYt6h8fZAWNcQDfGAfhjHwCw+DuqFClumCrFw/Wsvnj+N475 +AygP/0dsL53VF/eZ45i/gPKi/dMwPY36Ynwhjs0vlIcel/erxHMg5vtcclwD +dkhux9I4ApbP9crjamkcxf19jcVxtTSO4rlTjcVxtTSOon3UWBxXcTz5/Vn/ +c9yH79uJccRsC3aDr88t7bPKcSpL+66ifXOU5iWPO4nrY/PfjSrlVZI/ys8B +ARblLF7yZ7TSPmMqgzGO4jpQz9YxgEE3xgcw7CXGAfEDjANgRVuZn0+H/hHv +EePn1UV6uH+HevLvIeR9NfmcsDw/xPv1NNJ9dBozv1k8j2zuR8vnWcTzyhqz +OJ98rhx+pezXi/ohy8wvl/3wfz73LJ/vjWap0i6HFXoQD+awgl80s2PQ9+L5 +KT9JvvnvphV8giX7GCKdHwhhfJf9eVluxfHXW5RjS+cE5DiypXMDluRePBdg +eR5YOicgx6ktnRuwdE5Ajmv/27kBeZ9YPPeA8038/Cvag18Efxh6SlzfqhiM +ea6U85HWtY9ZfdHPUjEY5ZX85wxW/OJA6Vwnx0v0E90kv8dN0qeurF353Bzo +sESnJboAQ95RHzDqQ/5RHvIv4hNkcZwsjQtgtzy/DPMJ8wj+BsphPiLeALuC +fgAr7ahIk1s+nMFKuTBp30kr+cfcbxTXpcEMBp4YV8DiufkQtn4Uf7ebxmBx +XvF5iHkAGHrxn8/rqSS+RkryHGmmNy3pScDw9xU+PZDGL4LBSnsRzD4AX8ir +OB6u0rr5Xl57j9i6ArBCP19XYp6L8foXbF5ZmjeARTk3n0eW5B6wKH/m8wDy +LaeQG6X8cxafVeoFMVicr5ekOPNpadxOS/uN9hIetox/GGfII+gX7/WR1x96 +aT2eaubHQg5RHnr/n/c3DUzfAU/Qq8AvzfYhMa+wHwl7Ivu7ol3jdgjnX2R/ +Umk/Sfr9ZBKbXzIMP0ncn+bxP9hPzF/EE7AvgVT+nRHi8kjl3xXBDxD9AQ6L ++tJP0l9PJf/lqSTHASzfUj3wAfpQPGd0N29eqqV4U6zkT8WwdlFe7CeG9Y/v +gNGe6I/FsHmF8oDxHXYF3wGjPTFeHsPmBcqL8ySG2RN8B4z2RL0Rw/Qvyovn +BtGf/LvZCCk+Ec3G1dK4Y96jPOa9eA7JVurHj+Et80HmE/hgiU/gC9qT+SDz +CXywxCfx9+axZnyQ+STaeXM+gS8i3y3zCXywxCdxnO0tjjNgJXVh5cE/fAe/ +AWNdL8ZZEvL0AoflOAP0LPQQ9LCol/g6X/TPeTwW613ICcYTciHuQz+V7EO6 +5M/zdYF4ji6DfRd/fyDf88bvdxDjPwYW94B+FtcvcdL5BfNxAwy/Ujw/bX6u +WLx/Qs3sL/gN2JIdAyyfmwe+yngnMnwVeeD3IwAW75tJltZnyVI8Ucf4Keqn +CGke8PsvMZ5oX953E/cltJJ/Lu8naCW/QSuNfxzzv0E3YLmcGGczLyefA0A5 +wHLcRDwPys9biucWzH8HCrmFHIpybpD2ES2Xk/fdRX+F3wcBubIkd8rwXJPO +J16T9Olj6TzbY/Yd8qrIwQu2PlDGxfx3uyiHesi3VE/0Z10srgMAY50v/z5V +9q/kcoAtlRPXVebjBNgtzy+CXVO+B0p2LFA6r8N/xwC9CD0PPSr6R0GsH7Qr ++l/B0n6Egc1vMU6tY+1CLkQ8TlvkO2DwEfMffFTwk98V4t/FeEW0tA7j9+jK +9eR2xXrm7Vr6HYe4zkyW5qe5HpTv75PXDeLvv/k6AnoTfBH1ZgijF7B4jieW +rSPEe7zN3ycS9zmSWXmR/jgpDpYi/c47lcHyOxbiOepMRh9g+R4GcV8pi5UH +LJ6P8GZyLcdJYOcwPhh/jIN8TlL8nUaS2blH2Cf5d8yQA6UfnNfk5xSwbhP3 +u/h5VvmdDMRlsL7DOCn8viTRedriOl3Uc4gX8HMHlvQKYMQFFPoCpfuRM1g8 +BPvjov+BdxteMv9SnJdu0vx2k85T89+9y+svcV44SnrVzWI/aFc+t4125XWZ +6F/L55QDmHxBX4p6zd/MDxTjbqkMFuPyacwvqJfnl8n3ZmI+KnglSn5JEBt/ +0X7YSn4Aj68gH/MLqXzOAXZU7OcukxfoC+Ap7sPK5zz4+Thx3zhb2g/MNltn +oJ6lcoDRv3jvhvm4i/u1/Hwv6IWcQX5AN+RLhPn96NAHoFfUD/BbcQ+SVjrf +xcdR9nvF+rIfrJfWC/K96dzvRJxH3MfhvxODXcR8Etd3WaycOE/47/2V8eDy +Kd5HECrdF8L3nzGO4vn/JBZPwziK5V4zvSzOOy3zwzEvkWL+Awa/RT12V/I/ +E834DBh0ynSL9bA/lMDkGN8Bo13QgXz5HCP4j1SWC0vzUDwXEMdSeZ0Df0Rc +93IY44IU4yb769DX8K8gB5ATwLKfqYzXNSnOzOPS4v4k4qL8PJh47iNF0p/J +TH9g3gGW+SLa+0QmV2K/CQwf1BPPkXC+4DykaE+zpHiI+ToE44lxE9c75n4v +xlP8/VyEZOcimH8EPgEGXuJ5lSy2TgQs318k+qF6s/kq/g4jic1P9CfPF8CQ +H+ANGHjDzxL1JocxviLeGZI+e8naBYzxRr9i3E8ez0SGh3geI8VMLmQ8Ffn2 +Zfr0f3vOQj4nIZ+Dkt8rEOMCyWb3uWGeAVbo95D0XQCDxbgd6Md9Xn4sFfVR +glQe/cIPc8obFzWrDxj7SoAVuQ9isNLuMwYr8hHKYKWfMAYr+7ORDFboi2B4 +AC9lHPYx+P8XXmJ5jpfS/w0Jxr2mGjqUWz6T7V9+y+UD388EPqAL+Yo8GZif +D1gp75Pn/6mZPyrLq/w7KfGcGY/PivMjy8wuKnTomB8AGHof46HkH5f4dEHy +U/h9uqADfh/ahX8EGOOiwL4sRb7S7nLWr5jK+fgdnPk+NmCFTqy3+XjI76GI ++jfOzH5hXanIA/c3IRdIlfrxFvMVfF6zfGXceXkFH/ibSA0sVeQh3WK+oof4 +d0VfcdgSXwFD/gEr9F+RyuN3p9iveSKV95Taw7x7wWBlPF5azBfPL8j3NfH7 +mJR+Hlk8h6DwNZOlyjhlWcwH3oo8O7P0n+Uu5l/HTcxfzuIAiAtAnwFGqpQP +YDD0IugX5y2HlXr8/Aj6B98By3y3xEfxPJ5K4ksUg5V6nI9K/1H/dT1Rbv79 +not/0zvy/Tzyvf6iHlUzvSTaiQDp+3MGg6+ivQ2R7FC49F0ltR/x/61fwNCX +sFuKPuH2DfwU5VfF7N5M3bZfy9VNJGPZUza/x2hYPuhSyvN1nsJXvo4Sf0+F +c+b8u/h7D70Uv8B5FW5vEV8DjPmOcpj3gGEnACvjy2HYA4Uefl4YelH0w1wk +v8yXwYq+Cpa+qxh/kCr56C9Rkv8UZn8VvFyl+evN8lEOelEuJ+szJb0kxX/9 +WHnYa3E/yI/NQ/gnin/E7Y9CdyKzdxhPBS85PhDN6FfyY9g+MsYBfFXWS/zc +rBi34d/RPuJVgGH/AWPdCBjtAZb9LcQBAcu/H8R6F34D/Ah53xL2X/YDAEOv +obwiv2nsO/gsxp9imF1UvmPcuL8H+ynaUW4HwG+FDt4f+kG/SvrArF8Rxngm +MBjrV8g5/F9FLri8KO1zWJE/H8l/5PdLwi8C//WT3o+pVpffUyDOr1dS/VgJ +XzlerJW+83gR7A2+i2kMm4ewu8DfUpwTMORHqc/jotCjYpwzmZVXxg3vpnP+ +AV+F71ESPWqmn2T5F38npbWw/uDvpcjzQ3zXMZHpb3zHugew+H49n0dKPqcH +4ws5RDk5TqzIQzKzVxc3r7KOv8fPnSh4JUn6h8Pi+L5mcQBRnnWSPPHvcpwV +8Q1RHnUSP1JYecQ/8B3rOVE+efxEvCctka1HxPb5vR2Yjxifllee+P70jd/z +gf7EuCnflxB/X8bHW/ydLP+upMnkeXXy6CD3BNpeT7GfgPfVU+wn4Bd59hPw +gXp59rNEAZ+vJvhenv1YtqRh7veYvPmL74ifALbL4wdgrAu7Va98qrtnAmXv +eTf89olo+mL7fI3dQ1P/HTuM6tcgjn2fccH6uEs+A4M/+dk0Ug8yMni3wffR +l6OZDLZ+89kmNnsp6w/+A77/cS+tcZ3x91j58hmVp16O8GXw5E1dr7f9EMzg +kUVafk7eb/KzB2T8h36Lpb/y8B1eemLkT4tj2Xiw3/0sVfQhYLG+ltHrnl6G +4uuoGdy9QrZ3nfgY1r7tk6p+D0z18P1ZVNEdr6xMflGtSrn91cnT5+gP+h34 +H5kWvmDIt1QGN95e+euyvnw8HzjMOHj8EB/PYaE3a3nEZLL+godTyYH9tdSy +3YTrsab+bmwp3+bv+WydB4/cbAyuM1jD6IN8Av92TT+uq/8ji32Hf6V7884l +oXYidcjjF+BVx2781aCTM4NP5vELcMEpNgFXfXwYXDGPf4D7Z58t3SH1OYOn +5PETcFD3GU3nFOT8hLxuyxvnnJORLY+8ymRwyzveb+8/yKLteXB7iZ56efIM +WNGP2ZQ2e1TTv+d3ydspwyffT2TtNQsIvPUw9gX7Hhl0bXyDvjHs+5bcNI3B +FZNnjdUsTmfw1cJOaVamdQNgZXxTGby+R0rn/ho9g5/n8s/A4BJzm4ctrp/O +6Jmyavf53w4b2fdze9dMP/xbBunz8Nvd3rb00doJDF/t5TZT+x17zeA5Wdnp +Aw+9YrDXxEsdv+d7xeqP6V7sVFaslsHbV8/q8eyIlo2Xa549x/cuum6f2/7O +x6tGyOQzsQNfsO/Nc+WOz5dyueOTxODxn0dW+mHShyhvs+fMk/am74DDi+ze +O/Ehh8+rmidv+Z7E5FUZj2RGj1JOx8qXP30rKkPD5Vvhh471b6h+5kbdIyms +/rRmkdU3/8ThVp/WrLraL4WVV+SNf1fw5ePh4PVhTtkGqWy+dbk6JeBve4H5 +mJLHD8zfNXnzB3DhvPkCuF/e/AD8LG8+QF9CvwE/0Cl+10r2IJXBffP8C8Ax +ef4F4MV5/jvoOVu2TIX7S+NZf6Vy5ZPbC8wnsb8shtfaXHnPZvJskwdDP8If +7dL+882/+0vNWz+L8pdF+f/aeP6nuonMXgDekWcvAe/Ps5eAX+bZS8Cwl7AH +8LNEfZHI+KvIBx9P5fsL1h5gzAfHnKvNvx+JlvDn9pitUwR9pGbyterZxpxF +r2Mke831hV+ufTFI9pvri5G584vzE/4mvqflyn+mpO8zJXxfM/qb5MkB/KGr +P9+p/Lc8gB6l/1esPmDUL5wZYGvXMI7RV2Vy8MWHC2OZPcT6AvKAeAe+A0b/ +k7fsDf/bnon2XCvRw/XZtdz5yfVJy9z5zb8jxfieurip6lE7Fcvfmatf1ZI9 +0kv0pjOYnUfJgzHfAMvzDfYY9MD/RnnAGL+cEVXvXB6YzObj+Vx7oGP12X69 +gC/Xtx1z9beOtfe0mk/h53bJbLxlfxD+ANqHv472iufaT53kP/Hvtrn2hOvT +1rn2OlWSn1RpPLl+fZ5rDzg8OtdecXwgr5Af+O8iPa9ZHCozeM78a0/4vWM9 +K53aWMUN52Fd6ODV5I2T5vF7gdf379i3QiF+v/ShqkWyfM7x9+wLXpq2rcp/ +3JN7v/3Kwja/qGlRnz8LHHjF74eCXx2SL3311uX8PPfaXfczt/Tj+12PZiR7 +dK7M92d9Bn5zLaTj5ycTizd4V+ZmHK1aZJXvWBy/b+rW96Fjg6vxd7qMz38r +UfIZv08K7X/c2GHTYjd+P1Vgq7Qy99rx38XvqGuve/A1lSqvi9e+f8N/577y +nYPj1v28HsoHra3gVGq+gY6veWrzYjZ/Bw1p9VJvev96x0gnG23ftnZBHNtP +iuzS9Zwf8XOLo9bWupPjz+/THF/YcDm7Dr+3d7xHlcUHpvB7rWoOcvipyXp+ +37Zjh6lbm7VWsdS21CnvAt+z6XXUxcnepn6vHfTs+eBYGuXU0u4b8EhLJd8e +nttnvpHGbXe7ozbRdbrEs4Mf9mXSqHWX+8yap6M6X5x/+eKcTX16//2no+LO +nXemBWupxV+hN1tOTaVpf4z82DIjm8oXau50PjCVtYt+VkwZfminqf9H2Stj +Ktc1sH7Qb88XfVUvTeNbbZ+r0/5pRtYv8Ahokh41MySbrAtf7NFtWyajA3QB +L+AJPIAX+gUe1faHnFhk6qfny6merm94u+jHbm5cxoe+5vd/I/+89W792roe +VLXyppsOrhcpafPGQS2Le9B2+8YuLUpdZvkoh3yUm+CTGOrYmd/vhhT5tbZE +Ptwxn98njhT5c7/bLuij4vdB/ZgwspFP0RSW3uzR26lH7xRKTSqQYvrHUuRf +bWFw/eWNkaVXYl+9syqfQeMb1C/xw2hkKfLd8vyOXu/uvAl1yGQp8nNarIxU +mdYFk9uVnjfkihNNX3jT2qdZDLX1a/l+fj03sitaZMnmYjFUu1yZV9/Le1Pv +po2GVzaq6c7FJD+b+X7k+eupojZparrxbkrZcT5+tC/8zhErPzVZv/OrffhM +EF1+1rVh8HM12de9cKLRo2esH/SLftAv+kG/6Af9oh/0i37QL/pBv2fOB7Tr +ON2bdt8Izizdyo9Udo3LX1zkRQfKXr9dpb8f9Wvi2PlRqQS6X2jmjWP+GjLO +8Nn/xjaVMkffGuqfrqOfj/w1K65SKj23iq464J2OXJyyy3lfS6OF1YKfN7PV +06/PEhP66dMpqa3n8fu+Bmq9ouuXlhM8mX+3JzSne80tiTSx+0vjOTcNNZ4y +ZZVfiD898rtY+Uf1M3Rm9/rzGzR+FJBVxKdQPzdml41DFxT3CtHR3cJqdXQD +PdVMPtDHJV5HtWb1PvT0toEOdvvy9dwcPSXty3/nlbeBZheqferBLD1dDnR8 +diLdSGUvz2y34qKB/F3LLzlcLYOuNrhkNfA0v+ewxEOXn7U7jLTBt9ry2DV8 +Xzh3utSLJPdCzw2Zg1Usf8XnIW1H+/H75LvedcnfpHMMtXQIGNR+Dz//AD3r +3qTAj3Ur9eSz8H6zzbN4PL9j68WzuvYyv6d8w3LHSxtss8jH6Xtcuhc/XxmV +kmzdeEoYPVnj7Gi//gT5JVyr3PZrKG296tRi+PibtHbrqClnG58hn6Pvuo4P +82flUA/lUK/epU6+nV8kU9+OGxzPJ2mpwcbR3et6GsilY5XTR5y19PnsrePt +K2bQ8q7F1JcvaGmnlVNmwd+zaPWPkT//Zadl5VAP5VAP5VAvpO/69ePH76U+ +Hxs6d0pwoHO62z1iTHJmXfRz1FeT3EHOIHeQM8jdL4mZDaua5Gze8p+X3TLJ +Xc6rFr87muSsw5LRD7ua5M5jVObOWo+MtKdbe99lCzNp5GxNhEOwkU59tKra +OSeDUm4us9HMiqEs1azGGTv/oJYHvUO9psZQ4bl7+g++do48y+4bePwv8/Mg +4OviO/aLW7nx+/URZ3o6a1G72+EaliK/j5ux3K6K19n+E1Lk78mbh6fz5mW9 +VLXVSNM8tOq072HZxV5sH2rfydpVhyU8ondnNGebeGmpZUj8dsMlDU3Im0eY +V6+Ti63feCWJes/ZZWpZS8N/1EqiUslUaMnXP5wM/F0Mv4Vx+hZvtPSuyL4G +LoWNdLrak0XLe+gpY8NapzEP0unngGKqcwP0NP2ys83tBaZxfN64q9cyAwXN +8Z65MyuDsm+P3BW+xUCF2qwYn/8dv/+15697nDWvntLKXiMLHrbiKfIxnxcG +ZTc7dpSn4u/M02lRp5/GjVUbWIr86Atd+0yrZv7eQJ2cYof+mhBDN4st8929 +fQP96le07s/LeTnUQz7KLdk0u9S7+fwcRKXdBac3X3GNpVh3u/bveOT0LQ1N +8Si2cX3+FBrnEtHxrVpL+dptHNy/Vwo12Fx62eGXfN+0w8XirllxN2ib1eM/ +xjw0f+/AuDDnW76O/P3eEQtvHwq8Hsb0UaGI0fbn98bRiA2Jkz+c5PcxsfNT +unqri//HvaDDP3lOr3KV3/NZvJRqycJj/J5Ph9e7wuJ28nfep2hKbal/kd/L +7fQ4ZcnPWv5uasno44t+6mNg5VAPeKEc/NCaUwIO9q+cbbEdVr5lUEjwDv67 +nts9dkaufK9l6aCwXdUWl0gi55ZrdUfeaVmK/OZD6yX3bpVKYc5x1T1CtUxv +QY+1CSmy1q8Jf88hek/F35af17O026HrbRq+0NOphgHXDp3kKfLdJw+fd1Nn +YOlPLW5tulY3nb5EjNo6QWNgKfKhR6BXoEegV+76Durf8bMD7eg22+XO0Biq +7jGvx633VyhSlfxh6RhuZ+ZM/rgtxGR3tlTdHzCrNf8dZMGZc3bfa6amx+Hd +qXbRaBrntnF6q+5q8j/cJqzkpxfkXKVu2aMd1bSsxe/l7o/n563RDsqhHsqh +XmCenT2dZ3ehZ6B33ud8bvtszVPquq3G5olnQpjegR6C3oAegd6AHvmz1ZcO +J0x2ed+43sEet7ldhp2GXoGegV6BnqnctWHCdJPdvjlj6bIdJjt+Jc9uB+TZ +cdWtOc2tDrrTqeYjKK6RK/VeMmHmuxXuVKteYNebWlcqHLSWtn/XUZOfi88O +tePvJ8KuDmztv/jJxigaearx3HeZjtSp87TZy9rzdy66Pzng0bRSFLV540Xl +nbzJt+74gzn1oujcvRvBqZondN3lfN12UfyeoHTjD6uAj/vIf8De9/YuvF30 +Az0DvYN+0O/DdylHMha50eTxd+2jR0TRmATD1dvTHtCKqjfPXxvM8QBewAN4 +AQ/gdTR8wu1FV55SuXUjaj37qKKATJ8knZM/7dWN+ZqWoGJyCTmFXEJO8bse +18JdV0z9M5hyjngvmXU0kCrEj7S/1SCExrZt6NZz1zMKK7fot0LFQ6j34B6e +ZbO1tPBYVOLErUlk5/lhSP00Lbm9bP5lcZdkGr3Jsdudbfy9D+hV6NnV16PH +aob4Uz3rzVfyT75NN0/OO9G5K79nvmq/gAvJqSE06mhOyKdwb2p/5ENwqTKh +dOT3jZ5zXZ5Q6Kr2l58+5vcbDSsU86rQRv5eSOzSad6bx4SQ+z1D5JV3/hT3 +1yjrmBmm7wfW2izc6c9/V9GtTN0by/j7mTcexq2YPJj7gfALB1ef9n7Lu+t0 +e8Lc6XZdT9LkLo7TE29cp4ajS7Y4U+ws00PQS2HexiJe2ocs/dhqhV/Lifx9 +kvH9P9cbNFtNbX7MscqnMvmbvvOy3s5Uk91M7eWWqSpKuHLYbeVQNX0pq6nX +85cXVNB91KDZI9XUJF/q7046/r4J2kU7aBftoF20g3bRDtqF3oEeGj6zyNV1 +Ifz9Svjh8Mtr+RRf7pAsn0/jfm+HBe++z3A2P68GPxjzGPMa8xjzGvMY8xrz +DPMO8wbzCPMG8wjzAPMC8wDzYmyfo5/7OaupadM+6Q1M8mzT2m791T/U9HFu +rU8DW4ZT0emai3+uUtPZ7fXb1PSKpNp92z5V7VVTvPvzLs1WRbB6aAf10A7q +oR3UQzuPu6T9aLg0k0bMaGk/2N1Io9+czV7ilUEh4963iVMZ2Txot67NthVv +TtGFMoOtX7nz9wav3tjYtu0JFeXzia4dUzSESsdsKRmzJZQ+z/3949zf3cjz +g5fnwxWhVLVjUOV7Mx5QyP3yJQLPhVDrgcZ3HWbw9wQjm9dqd2ynhu749nZe +/SqJyr+bXWWSnYbs1znZrNUk0aIWWedam+CVVQpmjyiuo3YVd/e9ul5DM8a8 +qb3nQzIZ3q2cP2kjv//1siapOlXR0xf3d/m9vY2kXjojYXVzPZW4px++e3GG +abxKnKp6mL8vs6zNirfTTxnpSVmvevVzMqlp5ip7q+sm+n/U+atUhSw6FHdk +RchFI5V/v37ouKVZNGXnhROGo/z3YtVmaUfVidExPQK9IvtdWMcBhp/mu+Su +99vq/H5u+LmDh7/TTS/pzOYZWwfkrQtKd5icto/M36eDH2f9MWWg1WN+ryb8 +cJRbtubE2y5b+b2C8COBH9aZwBPj26fnl+fTY420q/hAr3cx/H0225d23r3s +zd9nQznko1yP0IHTe5xPpZdvjrydk6ajpn/8yPJITqHdL+MCnT/pKOpb4h+6 +2qZ1fr5f5lV7raOnHkfLnPDW09QD38q5ROpo8MtiA1bf1tPxeS3si0TppLgr +f/cP44g4LMYZcU7EQeW4YPmBbZbu2xJGnlM9vvb/tIvmaqx1Sdmh5PFozP0X +I25RxTDfZ0frr6E+446V6VEngAYFGjJeRmXSyYNRsY7X4+h1/Zi6Y0KyaE/f +lT+l7Yuj9NWdt5d5mUltik4PvfRnKvXrmni14cssqncuOvCeyY+dcXTh24f3 +dLQj/mvFfH1NeqvBwNVLLunoVd/D3a06prN20Q/aRT9oF/2gXfQTVLr4jl3T +DZQ5/uyNiLeZ9LlV8+fHBhioQGhk24VuJrmeVvhx12pqliIuDbsEOYPcIU6N +uLWSXqOJdS9WqvL8MrO7D60PhnWa48LGV47jIm6LuLL83hriuKmOYa1O5mRR +0Q/TxyXZGinn8pZFvyzIJr+giYOGLjeyODLWJZNrvB08cb0D01c4b3e9VE26 +VfIBOw+092LbCy0C+b3JDRZUjZyznb+/lnjLeLWLn2kdpPWxdx7I319b4hy3 +cE4T/q7atffT8lcqbv7+GuqhHOqhHOrNdrFutLIwv2etVJH91dOy+L3w7WsU +7dAzPIsy9uqy7tzMJLcvY5uuOx5ltt5HPtofteb0kavd/Ojs3h3VHYz896IB +KW8XqG/5s3rKMIXQyHmu2tqqp2ycMG53Ty6ePy6Kv4OGfc6toYnB1+/ze6xB +B/AGHYUKtfmuN/DfvdsWbaN6EMjv0Zpx66LrjCv8HqyHXi+ORW82f68M7aAe +2kE9tIN6aAfnUm9EljrTwM9IWwdlF1zb1ZNcj7YaXv/zAnp2eqLnDX8Pem13 +rNQEgx3zF8Iyktt4z+a/V/eM17VxO2dg44ZxxL7Tl5ONXk/J1tGWTfFhul78 +vO0Wt5ab3FqGsXpYh0Pfwo+BX/N0u/+eg4lZ5JubplLy06dXBn7OopVpJdr/ +3oPfC9UkdEH3tY/5eruxY8qBsre0TF8fnZQV/Odpfv9y+qGV9iUO8O+lV2d8 +qLyWr8+r+Lcts3yEjh4ktl0zPoL/zhTrYKyL0S/wKNh09CL7R1ra8/l9A/uD +aQwP4DUuu2IJmxtaOr+185jiYemUkvxoT46DljrPUZ8ab+Dvgan6Zp48PcXI +8AaejysUVPmf1NKJkOVOGwpnkufjwfsd/tDSxzsHf/XvmcnoAh1flkY7WO8z +rQ8GH6hYomc2vZjm0OjoHi2taLWh1vdT2YxOlC/dK+LblyE6er7ibPyjX/h7 +YTVf71p8aqMD3c3zuwfl+eFRdg8K3i1+llwmWg1eePM6nXDd5dbCj9+nAr9J +jB/ZU9cxy7pXesTf9dha/cq1lWseUelb775qPG/QKmfrjAHHHtH8LStXP3bV +UMDsbUO2XU4kVdCFbWOcNPRmxNkqJSppqb7vX3+5emno684TjY+qEig9xWvg +jMcamhVWsdz+Comkf1vTffQqPXUcu2LR++oGOrhhcL7QFSa/aFz+pQ6/Gqi3 +k67ChNPJFB3ZzGGjjvPZPrFU6qAvOnrSItjuQ+JdKuybHbur4CNa43f6fiMn +Jyp5d2zWtyGPqOi0oN/8W/jTs8+vvjUp5Uz9q6YP2Fid/44dqbjvcomGJbcZ +mtyG21XYWdhV2FmMW+MWA05s7R5Kr2tkdym/1I1s73nfbb6V+5XwM7FOw7pt +7quJ57e7PqGL/Wc/rlE2lKp4GmzOT9dTs+hO4W+faqnAzFELntmY/IedZ75k ++Gop/9+wab2gpFpq27xg53N/xwGKejrYXNRS0ZZzDl+ql0UpetXiCfZa6vjA +70bCCiM97d95bK39OqofblMv3CaDGuSmOgpscDCzpT6TAr89uvJ2ho6urjjd +1vlcFpUbNvLy/jE6FtdDnO+X98X29Xippb9urp37uWcKwxN4A0/gDTyBN/AE +3sATeAMP4AU8gJfLmcUTy55aQmUyA/wrHL1Bb1rNHHvymYb024rvqHH1NfUd +2vp+3TANHUoc9/3+23hm52H3wd9lqpOaolU8qNqXG3Uzu/kxOzTnQN/h+wr6 +UdT8b4/nevpQz7N+QzN3+dGFUkV3/WbrQad8d09O/JO/J/Z5/W97RnkF05M3 +i5tVrR5MD/oucu1rDKZ6dUx/l4JYXABxgtC8uADiBLBLsFOICyBOgLgB4gjY +x4ef/dPvhwy7b/O0tH3dU3136SlziWaO+9o0smq+9vQ5Oz3VW1PMW18njZ7t +mX2mf4CBxns1220VYtJvpyPCtkYZqGjKzHfP5/D75v+a03rQvmgtZRebsynr +VAoZHItMeabi++zYd4cehV6d7/ngyvWi/J0m6FHoVehR6FXoSehN6EnoTehF +6EnoRehJrJuxb98owWtehlMG1bg3W3t1Nd+nx7499Cb0KOwW7BjsFuzY5/f3 +/X1MftxLx7oX15r8un2fe/kFTuTvdQ2MnH639Xr+Hv3hJZUKh/cPpTpxzUud +O/yI2c0TUXY3Mid4Mn2DODj8TvgFE226ni3WKJIuF5+ZemYwj7PAv8Xv/qZ4 +WM8rYfJvz5xN6jrIkEXXKm4wLNvDf9dafsGheR3XxVFrw9hWhrHpFFDygl/J +C/x3sL8FHV8cdFzH4tTyvf/ek176LotKZXF1+f0t8BnlK5/wLK5pbWBxd/BF +O232rabLsikhNzVS1IY2sVv28ncEcK9E9h99CpydZ2RxevANcXrYXWPBA7UO +NtLRBG2vgwsStFTw+EBD+iId7T343aFjvJbloxzyUQ7t4FzGoqfXmuofZ5Mm +bGN1x7lG5mfAnkOOIFegd9SUYT2yD2eyFPlHpvzh2GlfJt1rs//suJOmdl8e +3XV79SNmR2E3YUchN3PLlvn5kMlv1YZHzO417AF1/Gv/l9YhftTqU0jVYXv9 +6PPPyYG+UzyoemzxyD57/JjdQT7KIR/lwK8KG7YZV17WkGM/7bryt7V0denf +G5MaSq9eYs6sllqaN3XGZKOjhpVDPZRDPZRDvT3vlw3d9kTDzi9jXxfyArsM +Ow27DDuN+MoXJ881lKpldh52H7+LGJw56ur4n1Io/4NzV3sOSaFl9mPK1SzA +81EO+SiHe7hexdH9qjrT+kub8fCVdQa1f3y5gZveyPJRDvkot3pfetyb4Vk0 +ouf4Bw5P+D60/K7Iw4tHB050zaQqR4xnS2ZkUWG3azs7X8ukIxpN6v0h2VT3 +pwY2r45nsnyUQz7KdXHKUB924nHx2KjO/mqHKFrw/tcWrb8co4YdLi53ORlF +Las6xfQzXKA76+cNK745isnXLeeMXYu3RNHwxFVrisbcpKOF29ssPRJFE24e +2fJm9WXWLvpBu+gH7aIftIt+0C76Qbvo5+yXjHwz3/mzfopdL3X1gsqfPky4 +U+vAoVNUuPrJsuFb/Wn4opENz9+5TjvHaqcdPOBPlSfu2Nyx3TX6VqjE70U/ +8/eslr5/OOByhh89Pp/w27e+90nlWSI0OCIlL+X+4LanXV29I7VsnYR1E9ZJ +WDcpeNnS0bCdx/yLejK+gs+gt8HkbUemzuF4Am/gCbzR/92Yfb8Pma6h8Tvq +NF1QJoV6tTiY/nGBhgzLyg+40SmFtHtc6lWbq6E/H50N2rUwlYZXN9y3Haah +ht1TNnv+mkojtjz/sXYMf59qwpKQx1GtNLTx+vFSf/TW04JfdXuLd9fQ+pgD +Fz6d0lNiwZGnAttryGOuU7ECIWmUU3Ly+KiaJr866ucV76ak0ZUpR3zONub3 +xde+OibhhpWGlpY5sM5/tYGa3uvWrcbPGrqaYb3K/ZuB7jY4V+FAAQ1V+b3C +9frWRprYt2bv2LQ4UkdMKl7gUDotKH0kdNWf/F2lle3S6pcIiqO1bz4VvnLN +SJWb2rY5nBBHyy4vejNuVgZ1zefR42RwHOkffJw340QmJX3LTL15K45WqTc3 +O/k4g7ZE9c8c6xfHzm1+79T8w/tELSWsWuz8YI+G6YVNNKn3dDsN6dK8+tq8 +4nFWxF0RZ12VF3ft2bzStaMbNXRgua/31Q/JjC/gE/gCPoEv4BP4Aj6BL+AT ++AI+gS/gE/gCPoEv4BP4Aj6BL+AT+AI+gS/gE/gCPoEv4BP4Aj6BL+AT+AI+ +gS/gE/gCPmHdgHUE1g1YRxRttdzgU5m/IzBqqUdjq+Z6WuM+ZOgAbyMVfR6z +Yk4tPYVlHJ03YkgG7Wu6aeQWKz0dq15e9cxkN989sD2/tJyeph/pWHLw8wwW +50LcC3EuxL0idxSMyHnK38vS+q12HOhupCEXmlVpsDSTgvP2Bcbk7RPAz4ff +H7Vv9fG5t83fx8oMGfnZsE1FPSZeHz+6WAj1+ZgyfMUJFe1N25zYsV0oFTin +G79qj4pKO8ya/+NROO0dXun1lUUqSo8JPz+oThgNvzzGUbNJRZWKeA7s0CeJ +Ktveulf7FH93DXEt+F+xLW4tC+qjpwoOyZPfdDZSpdxUT5+PHtr22+x0Wt63 +Yfrikfx9rBobXVf8aWOgwTlJ6TEmOofmpgbaWnJyt1DfDCpZKXPUuJ0GZodg +l7zWDKv3+r6OChdbuWTpK36/M+LuOKeLODPO6cIfxDld2HOc04X/Br8SfibO +2eI7zvHK524Bw2+FHwu/E/4U+sU5XfiZ+I5+VHl+5YKOvneuLvuP96ny9Ar0 +zJsbu8/bNOb38NVP7t1qaD019fu8rPMB+2hKqBbWcJwJ9lB1zl/KBC/s5/Tx +W3M1vR64ZuTRDy/JIaz1iLl0j1qcK1xgYUn+PhXkCvG/K7WWnP+xke8jYV/p +Yd4+K/Zde1fyH2m/05++bL9Q1GpmCJMbyBHkBHIDOYHcQE4gN/4l5zi5zeb3 +YrfzLT9zyzg9ZbTIqZzVKp3JEeQKcgS5ghxBrkbVrBR/7hx/T2rozXrnTt41 +0Cf9j5ufTfpgne2F9V/tDGSds77VwsUZ9Pnzp4kdT/H3o+Ldchq8N+md3+M6 +ulfOyWT7VNi3yqm0Zqtmj5HOl1CV6e+VRS0nRjYOP2qktMBbiV2WZrFz1fL7 +UtgXwj4P9M/nroVmTXptpOq7/th1ZWkGtehwPXJagpGmZVz09luQQUNK+p5/ +W5PHnTflq7ChYKkoivU4EeWzx4dKlFhvW7tVFFWc2YFKTPakGQ97qFu483eT +On2KLeh3zaQXyg5+v8blOXkOb1TK+Y6KzqYndXd8E0QjHuf4nAhUUdvzv1Yc +HRNIDcO3Nzv6VEU1ujr9fK/FM4p/eHzA49Iryavs0YgPj6OY/2984+V4ZFgU +jYve87aAaT24cO+Up0/mRlHVnkPsC199RI4n6xfd15njDTqAN+gA3qAD8rji +UGgLdYaKTg0/0KNws6ekvhC8zf+Linq+3Wyz5Ik/1f7Ty7NdAqcTdINO0A06 +QTfoBN2gE3TDr4c9v31vUfEl5/j7UGUPzKvWaDV/Dwp6tQz07IRj+wYsV9F1 +9YobD5qF0/7ZH487mvTsrEll1xhqh9GxOcl7z65T0V3jNf/1a8Ooy8SOObdm +8/ehPnx8uHjWd/5uT5vXsVFHokNofMPFnzXzfehtHTt7TbNQimrocdh1syeT +29In7jScN9Y0f7zmFW/3LpN+Xv0yNWO6gbINT+a0L5NFhpDbqzZPMVDBvH0p +7FOVrlqs7pNVWRSwKyW2yQgDW8djXQ+9Az0EvQM9BL0DPQS9Az3UefScekVM +68KUbVvdjEMfUGO7mG5TXfyoW4E/ys/XPaSuccXdIuaoyNHNt+6t6hG02Dla +t3eyigZ6FlAlbYqgPwwHWgwboqJeoQmO82pFUr787dTdJ6joaMPNC+ZciqDC +F9/8dmax+ftQl4rMOdh/szt1c8sX0FrrQh/qvt5w0dOdSn902Vc6yo2yiw5Z +mdPUnfy2XNxe+GgKTX2Wc77Hdx2bh5iXmIeYl5gHmBeYB5gXmAeYF5gHmBeQ +a8g55BpyDrmGnCvj/5wOt2nSM04dTF55cbtPeXG87Z0ctnVyeE5hIX//BZPu +xtZo94tBtCbs+fzX6cF0eVBdv52RQfT80JEbo1OC6XXp8MPRdz3ozO6wRZfH +HKFDfsuXrFrA33/CvmvdvH3YzZ37N3EvHkAP609bZHViF63aeW5ySZMdaXN+ +Rj6nbvdIk+o4fUAhf3ItOe1W/5v3mF/Y4OLQvh3H8P2dMqonz1411FN2H5X3 +9ZtG8m9Y9KO/tZ4i8vysInl+V63wzaH3+mRQTJdJ22vX/g8/bfiB8BH7DSwu +jjh5WMCSKtndfKnGCPteKX+pydBkS7fY+UbaMDwo4puzgcpt+DVp3tRUym71 +x+OaIVpasnf/8c1BqXTvScGDQc+0LO6BOMh0104x4SF4h5unyK983rP8x57Y +Z7xLE/S7Avu95e8Pna298uFqLX/nZryfy6LvT/h7QheLRLyaGsHfrZkTV/Pk +KCf+PlDS0mlbJ5/m79BEbU932Lqav/ezqs2UVpX28HdlgAfwwnqxitvo22uW +8vd3gCfwAp7AC3gCL+AJvIAn8AKewAt4Ai/gCTyA1/fLNnWbNL3BYNzvsCnU +o0+Cr4bdpzRzxcacq+78fZk2jtaNH4UZqWxs6G+/nw1hdMG+6nqtKJffgb// +smffyBbrjxnYvgz2adAP+g3b4aypkc3fYymyscn83TNi2HyAXEHOjsS12Vft +EX8/BX7++mZTfkzw0TH6EXfFvSyLTh6I+PGO33sR9lPk3JQQ/q5rn5rXgjVR +GpbK748YXhTZvzJYQ3O1I6oFnuHvieB+oR7hlYb9SOSp/B5I2buJ1t6h/P0P +0Il9hhy3XremjIxh9ydt3z50a69yMTSroHNg+67YF+b3ACMfehZ6F/falgse +7LU3mKfIRz/oF/K28njzJ5erhtC3uluP3+vuz+SanH0GrpkcYvZ+xYYtjfzu +OuroyfXQpzZB1xldwBt0tOs1vcDdWThPoSL1h+ubzg3HuZkXLB/lkI9yxz7a +xYar+fsQ4DP4Dj0DvdPF4c8V1Q7L7xQnUdiDlsaBdvz+1g2f8xd02MDfW8os +Webs62J6Nk5+1/1Ge17h7yMstb2aUcmOv48APwF+AfwE4LVm4Jddix9pWfvt +ilUdvek3/j5Bv/lf1oX21zE7ALuAcYRdAF/ApyzdlvAF1iGUEZlRfEjXQHYP +TXq7qyXmZ2nJ736dqjbjkyj4twZrHXP4ffAZs/rUn7uX39tjqPjzkYVP+T1k ++N0G1kc4ZxjdouZrN5+nLB25qmqzg31N/B3T9MTBYCeqnjxIN/uNmi7kvPw5 +c+9TE92d31VPVtPUpc1GV9joT08/NJp8yFdNVcucHtgrLIjGeRyc3jVUTUP3 +JHXbMecZvS843MH+htqkH8c+sSoWSgkLV50Kvq6mWSuuZzv3DKXzJ5JtOp5T +U9Nb2Tbz14XRpAIbLtS7qKalq6M+udUIo8u7Jy8su0ZNV4s+e73FKZI+X1cN +9dqkpnnb9nieahtJa4aMKLJil5p8ElaNKHjL5M+cOGz/bYua9jlb2Q8qG8no +AF1p7vm6n/XeSTYb6k078FsMNb0/dHaywyHa3tTu47eFMYxO0A06QTfoBN2g +E3SDTtANOkE36ATdoBN0g07QDTpBN+gE3aATdIMu0Am6QKdfxqVnungHel5r +XqzVqL305dP2rzv9HKhMrYySusz9NDrU5pGqcwLdbLWzTzM/DfudEH43FN4i +fGsr60z6sHbGtfW+Rhowae3yQTkZ9FPQqMbuwUb62vL6i6/lM8mtc5ukpQFG +en+2kvXIMyHkWPxdqteap+QSeDEiItBIDbKDi6VeNZDb2WNV9jbJIPvR+T90 +P8nvx029uu5EbD5+fxjsAvxQ+KW4x7HQoSZbgh8Z2Lk8nNPDuTyc0/O08wq9 +PTeGSjqu/BGU7xiVW/HnDqfJMVRspe3ZfmcusH6BR3iPGi96fEuj0ydNf+46 +SmryxPQvjXS5qY4uuf0Y26ldGj37cXj9tmc6unv0q6bYtDQ69q3h4l3+OtK1 +uZJ/a/JTOnVp86OsJ74sRX6nA4ef/545iU48CHSdtDqGpciH3w4/Hn47/Hj4 +7fDj4bfDj9+f+j3o4c1MUq+tW25QeBZZvz28UXcvk6a2elC++7Ess99RYx9Q +vh8Xv+vGPiL0zvK5n2roOiVRQo/b+7zeaGnTzJ8Ssl5qWLqoTscRfbQa+sl9 +Y/XjL3mK/FMdH1up18TTx/R9h4dEamjXtHzDW86Op5kVlzZJM8HIRznkoxz2 ++bHv3+/A0gYntrymOGf3hx5BGjp3q+SqBW/jaWxVQxN1qIa+NlwwbmWp1/Sw +z/Jpf4Zo6OUgl5fl/tDTvKVf5nXQ6ilhRfM1feun05BhKbraGgNLkY99cuyb ++7T7defBa+lUPGhoeK1gA10rm/EkeU462T6bcOpUlIFOxm83JKxJpw99/Rx6 +RxqY3EEOIXeQQ1fvB0GXBt+gaXsnXWowNIaKXykxaXH9K9Q21qaJ99gYun68 +fV/rSC8aU3V51r3iMbS60ZCWET8eU48jKdZdf46hWpUX35r70oNG/EHvjVVi +6EsNV/dDcx7T5DtWmSPLx1CfNTfjy/RWk/vuMXWyPV5QsU1r7n5tp6Yzl7x7 +1t7ykuWjHPJRDusOrEOwbsA6AutArAuxDsS60NdY/WaIKpOl0a+vjB2pzyT7 +r2Ur7QnnKfJtHl+pPK5bFtn2nKR38Mmk0QPX+74qm0U+9VtZuz3LZPkoh3yU +u7l99JxJ3WLIUPbTV7dhzlT7Sp8T6yiGdtlVnJL+7S7LRznkoxz4AL6AD+AL +zp1cyjuHcrbFq7t11tygLqU/hl+PX8nsOOz6uwrT3lQ4/YzC/15OFgmhUsXi +nt6/kEA7Zm042cdHQ2dq5kuc2DuEmvcatHzzgQDqMvWK9YB1IVSizZbKA276 +Uc+LNwMH9DVQzfGVL1u56ijDJ8S962kDXZm5ISbViZ+7xTnc63WS0u3DDDTV +7vFFq5s6dk4A64ovWfqs/r0dqFrDmfniqh6jXrer3/1R6zoV1BU+aZ//EpMz +yB3kDHIHOYPcQc4gd7ueeP1ZcomaUqp/WhE6QEW9W9X/Nn2SmvrkplE01nf5 +y9EDTP7F6BM19UteUFLz9e+9xqspqtt0XyfbKFYP7aAe2kE9tIN6aAfnsHEu +G+ewcS4b57BxLht6Hnofeh56H3oeeh96Hnofdgh2qfZwl0ZdTX7XkO267jdH ++1JE9QeFC7xT04acuPQno56Sl9dc37Jxamqf6dD58OEAajai9zibBDWV6djc +K+2TP3m0uPKl5yM1ja7opuqS9Jz6Vqj9+rYJzv9XoeiAqOf0fn/o3jnRagoe +1f3ipeaB9GbfvIMfVWpKrhRePfNqIPW5tz8g21lNznccnRt9DKaYOTcGHT6q +pgKXdv8yyCWcLjXoVLCCnZqe/R7SeGqdCIYn8AaewBt4Am/gCbyBJ/AGnsAb +eAJv4Am8gSfwBp7AG3gC7w6/FHi//G4G2To36lrwpZESm6Tca/qHinZ3mqjt +8D6Y7dNg32bjh8UVP+1V0Zf02KZZFUJpvvXdG8mtEqma1dfqgzw0lLJrkPY3 +9xAaOSvfsIFLfck1to2+xPxkUh+s1eXDTg31drqyK91WR3PLPkjft0JDn4aO +yB+9IpkMlYNfFDN9xz4W9rU8I10bpQ7LpCZOi477FNKTv23lBa7PM2jC9Rlf +YsrpacqH1jWcszPofLGQpKFl9CyOjrj6wdmNt927YcxLDeR6yCG00+8Z1H/p +uFb+dgYaW2Zp0VCvTNp67VukwclI+b6HNG9vnUXxrp2KZZ010rm8ODri6iEr +B+5Yf9ekT5PqdzHsM9K2Q+qk9guzyGZpoxrPjhmpvpPr4DddVRQ3ctC9Ur6R +LEU+zlmyfXafudbDW8ew9emFQ0Uq5csfQ4VWlKt2sKYPy0e5+XZdwp6Nvk8R +hxemn7fm5VBv4JNBJ15PML+PeE+Z8kU/VPYj/6aZw3489KaLyRObuDXg9xHf +3tLrfIXZ/D7ifYHF3s7boKfN93Y6FallpNaPRhed42GgnbU2VF42OZGK9/hs +nfRQQ9YBgT/e/Gag7dfLPVi/mK/3DzetcPD9ZD3l/Ol6W5NjoJC7dfYemapn +cQbEHeD3wA9C3ABxBPgV8DNwn++PLudVK/frqc6Wo+eL1k2j7+3yrfe209Oh +NR0mrm+QRnGzNpWbboL/ejLcdmHdGLav1L3Ko2EJ1WModsSOMx3/ekQD3+5K +2lc7hlZM6h3lc9OdxVkRd/1zuvO48h1iyMah1JtVje/R1uLJdSu1i6Ea1Qod +y3C/x/JRDvkoh3OOOPe49vyZuq9nP6bGTXZsHrjAjzrlndPFuV1n47l+d9PS +KLpNy8V/ruP3BYOO5fFWI5I2P6CsSXsa1GgcQ+cnOn1veughpYeeHTmhPqcL +dIIu0Km4o4m0zmdgQkNnDQ0pnH5i8eVEWu3fo7idq2m9UrVF+uHgRNqUnf7Y +yoWfO8Y55M1Vr0yZmZ5I9y/VXd7qrobuPIrO+svDh3ok/LL1l4J+tOzq7uSO +d33oW9vmey8WMslToYNN87dOp+9/uKw6Nk5Pv6x/4Xv753Ry73yycpFJeibH +kOuQp+4/qtV+Qh9e2MU1muLH1u1Yx/fKu3cgIe8eggNf7HovytBSnwWLv8QE +JlFr39gP2Wn8Pt9pbY8XCjFo6Ubgo2FTSyXTqJm7R75P19KM4qNm2+QkUakd +n65pn6fRlvMjjD036al5pbjdt535/bx7o1uGlLnI7+PFOVCcC/26aV5Y/Ow0 +6lt2f6Wle/SML+AT+AI+Ie6AOEQ9zwxda72WrFZM9E4fnUzXZv1kezyZ3/ea +YH15WcW6iVR9+Ye+Az01NKNxQMUX7glkO/F6+HpvDf0fHFIVtA== + "], {{ + {RGBColor[0.14178533333333332`, 0.148963, 0.15624366666666667`], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNTzEKwkAQHE0g5pIr7bUytZE8wQf4AtE+6fUDptfCwkcE/IjYWqjYprVS +cMddQbhlh7lhZme4qGZlF8BAJpAZdYAyBG6CMyEu8nk1nvgs+OGASDSvGOjL +npqOQx31rdO/iVe/vXmOE6ASnMvOvWacUuWoo/9bfA+Cl4nuyvh7oHr6P1PN +XTnNzGTkfW8gT/080dw2Vm/qyDeh+hKzA7vs7Bbe/OtRWJetV56d1k79mc9M +6tiLXGSehfG8h/lH616LT9wDNl61zV8v8sz/AP4AM3Y= + "]], + PolygonBox[{{2867, 1135, 1181, 2557}, {3477, 1031, 838, + 2683}, {2541, 1177, 1134, 2865}, {3281, 808, 2057, 3465}, { + 2865, 1134, 1135, 2866}, {2583, 1201, 1031, 2788}, {2682, + 838, 1045, 3476}, {2915, 1181, 1201, 2583}, {3380, 1045, + 808, 3379}, {2587, 1204, 1177, 2912}, {3464, 2057, 994, + 2752}}]}]}, + {RGBColor[ + 0.19245004999999998`, 0.20833063750000003`, 0.2244391125], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNVMFqU0EUncQkbWZeaOrCLlz5CTaapu1KwR9IFl0JopiQGLUiLqwGpIui +uNCFVkVI0YVaEX9AFy4EW5KNv6AiNGA/QBA8x3MKLoZ738ydc+8998w7dv5q +80o+hNDHOoQ1LIRwHauHzVsxhMPTITyuhPAchz+xJrkQnmQhdOA/xPknrLOI +vYuYLuziVAjNnOwSVhWYO/6mT7xxKYRLiN0HTgk4TWCMStr/gtg27EX7tKP/ +9jsl5Rt7nzjXiiH8Rs19+DXYeax1xN9ETRWcvS+H8C4p5jX8y3nV1MrpDvdZ ++w1YkrGb0zmx2UtWFM4A3yt53efdV2Vx8jYTL33HbxXEI7FWi7pP/KHvz4CH +qvOQk828cjEn+Tji+plv3THku+pv1rtqzBp6/AxuT8DOoMc9nI9dF+uZGIe4 +vMuaeq6feWrO9SwTb7cxi/3os6i9ju+2onA4N852eUrYnBHzsPcVY7NHzmh2 +WrNrmVP28qii/bUoDGJ1zUfLMdzPzDntsmO2M2nxZZRl3j3Pino40N6O6yFe +z5wzjvHUe9s6ov/CWMQ+Aw430PPTTLx2rL17FflfM/Ha9ayPJ/X8qyweiEvM ++9ifhfMNNlWkhzeI+WP91ZLw2sYnB4vu8aC3apImt6ylid8D8RfASb2o3uZd +A2uJFb3fk/C/J/l12EZRd/j9I0pzc1G93ilIW5zzhn0u7nMmI7/HpvUz9P/h +nzbzmtfppPhTSf1tWs9zznUhqQ7mj36X1NLAemQvnNGuc7TMycD4dddPTh9E +1cr/EPEWzEPNul0D/rmk93Y0StPUcS7pXfB/wRnyXsOYH5J09hF2uyzeG/D/ +Avwwk4Y= + "]], PolygonBox[CompressedData[" +1:eJwlkU8rRVEUxde7vMu95954BsbkG7xHTClf4BkYKaHeQP4lA0/KSIwYIFJP +Jv7nCzBUUia+Ai9lwNBAlN9uD1btfdY6a+2zT+/UQnU+ktQDWkE9l7op4hZp +LJUGgrRM3wAB7pOzx4JUapf2rE+kcQwaYBLtYSZtoq1xfwftFpoJuFosbVNX +0MxFfqdMXU09Ky9Kq/AFzsrcr4B1uHv6DG4RXFPvpu5tmiOyBjl7Yp4N+pHg +GtP+0N9QDwfnbKZR6n0yuph9lvxfZr9NPNsy7uCbYKjob36j/ibjOfY7a2Sf +J+69hKYPrp76LkxjWpvZZrcdflG/4lGK3NO8r9C8M/8xOIWf4ewE7Qq4TNzT +vE1zlviMNusBaKJ/yXyXD23k8Jb+3Gv7E/ubi8T/yjzNezr4Xdv5H1xn8OwP +9B321uDZtkPb5T86FURG + "]]}]}, + {RGBColor[0.2288727925, 0.2508225725, 0.2727220325], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJw1VktsTVEUPa/3vtvezyvCFBEmKvEZNGqI0mLgl9RchBnRMCARn6mBioka +1GfgU20Hon0SJk1fRV4TJMz8EgQjE+lHmvRZq2sZ3Jx99tln/9be+9w1R08d +OtkUQniCL8L3ogjhIhgrKiHsykO4XAphO9ZOfNsgsBPrqSyEDtBXIHu2BffK +IbRhfw38WdA3wZ/CvTtxCKuh8xjuHMT+YRpCNQlhDN8n2NgLG4OQyXAvaQ6h +jK+E+8OQn8X5CNY9kWTfQ89+yI5hvxL0DpydwX4r1tPNoqs4+4L9Fuj4jHUj +1k3gD4D/KtLKGCdgf453sakl2jOeOnzsKcnWvVj+c1/D2UQk29RHWd4NZclR +5lGqGBlri/UfKOneXvudg98Juj/SehnfrUh+03/mOkIsTc2KlTk8Yn9+5tL1 +Ixd/faSzG5Fo5plrm/l3kdMM9gYLxXHXWBzPRS/A33nItsbK54VMuS7hvAnf +H+h4k0r/hli6Bxw/Y/+Ui25k0jdo/ZO404Oa+FJRnLec85mKamW2IqybysJ4 +c1l40R7ri/tlkA/Q2wt6Hfz/DlvtoL9ifY7vEmRHYKcrUr2sgniRqW5Zv6xH +6mceFmLppP63sfQwtzwvWYZ2GrFkGqkwPQE7o8aR/tSti1hT34L5r1PV2Ydc +OlgTPZZtWJ46/roepnHeHcl3+jtl7O6nOl8L/0fx1VkXmWqP9cEYeXc8Up2M +Wwf5A65H5plrv+kfrpmnmTAhjsSTNm/YLmu13/dZo/PuL/bFZCJM3mXif0uV +L9plTdKvcftAOzXT7OO66bp7Z5Xla7bDHOyxnprtMJ9dPiP/t2uStXk4o7Mh +nK8Yv2bpIab7XcOf3fsjhfAiftTJecO5c8m8MdOcK6Qp2+leZC6W5NovzYUb +8aP8Vs+cDqzLc/X1r1w5qBoX+lj1fGO+r7aoJ6mDuV7EB/7Nwc8+xDRTFs2Y +GVPV+WH90C/6zxqa8hxIE+lZnC2JckcZ2qtbhn7NWw/r/LZ7jbXFew9SxcG5 +yZlFu6dtm2uv+fR5wvqf+13IM/U6adYP881+IH7ngE0Ddw9lygFp5o191uW5 +FFk/be7O5Newe2fBPci8tXmuPTYGL/gWFIqlC/e+eSZwNhDDUeN4x3Pzf9+N +Gmu+Z/SZcVAvZeg/7USeA6xV1i594pqYZt/NGKMcemLw23O9AxPGlJik7qVe +55MxPsvUb/sqqpNp52LIcTE+5of2Fnskkx/dhd5X2viYqxdrfqeIaeK3cta+ +sfb4xhWJ5kFmf4g37V9sUc+XW0XHWIcKyT8uNGc5B68Xwih2DaStquGXqeKK +/vMTvWeMd7gQ/vxHoC/T9qevEJ58T/4BpaoNBw== + "]], PolygonBox[CompressedData[" +1:eJwlk81vTWEQxufec+7lnPfcW4m1hS0JESHY+W5rgUr8ARLsNBEWRELXXah0 +gQ3aBUrVRwgJO6kIgsQOVdEFq26a9BLh9vfkWUzyzDwz887Xu/rI4MCJekRs +Q3LkdhFxsAZeFpFaEcdTxLiIRsQD8KZkLkNK+Bfof+AvEPMcPEf83yyiH9vK +5BjFdtHvg2/BH6g5ZhL9EZLBn14esUi+VWVEO3eOT+AfehP+I7Zh8F5s19Hr +yEP0Lvp6uHXo78n9JRlfI/4zuIS/Az+GHEO/UkV04IeoYTf6FNKpO2cf3Gb0 +/bnfnAOfpaagthl8NpLrH7IW/jC26cI9qbeT+Afcpcp4gfwj4Bp8H7X0Iufg +/xeu5QZyFG4Bn+lmxBb4Qfhe9DeZa9qDvhOfrZl95Ps12Vc9zwgjp3LvbILc +8/g8bbrmQ+odvWx65jfhE7bzdc+kn97yNjq+b8n5DO47tjXgYWwF3KvCWD2r +907Lu5KPfPe1HKucFfwI8pv+F5HLvL2C+nYRm6hhvPQMNAv5XK28Q+1SN6Bb +kI98C2Si8ow0K91gl1q+8d5o5pobbe9Eu9GM50u/qbe144vo25N3rRntAD/G +9jLzjJ/gO4VsaHjG98AfCu9OttnkG9ItVdQzCT/b8u5Vg2p5h/9Q7h57dE+F +/0KX/3EG/lfyX9CbP5N7Um/ayRi13K2c+7XqQR8oHasdapf6Y/pruknd5hJY +rYB9 + "]]}]}, + {RGBColor[0.2607944475, 0.2865273075, 0.3089483275], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFVktvlVUU/Xof39fv1UFJHNiaaCITbu+9DQMHTaoDE3mUOjC2N8GZCVrQ +WJDokAEtAasY/QPWVkETBMHYxOGFpPc6gBI0TACl9BGZ1vrgUcS1XMt08HXv +u885+6y99uP0mdfHX3mnEATBEr4ivgb+jOJ7tSMI5iH7ykFQgv1AGgRfQBmD +zDuD4McwCAaxvoj1Or6jWOuCbQGyG/sr0K/Ax3XoJegV7F3A77FE+ldZEHyN +r4y1LyFXYc9xtheyFWovz36L+w4C4HnI8YJ0YvsOv+9BvwA5DX+TOPs77Lvg +6xH0c7BvlKSPdGh9wnsoj/6v47sD/E/jrus4OwNfpxPx8FxJXFwCnouOIe3U +b+r0s+jYB4ryQ2xt6CNF+ScHjIexRJH0vbAdBL4abPtT8UNu+fsa5Af4+qDP +Ac8TWPve3JBfcnvIZ+ljCt9VrJ1KxCV9cY3+SubxBPQ5fJVAuBaM9yHklO+i +vmGuaHtovR0q13sdR9s6eRt3LuIu8AVeFnPVRNu534p4n41UQ+RmyTw/jnV2 +H7A/Au7L9A3bPM6vYs9h2KpYP27M2yLhIc71TLy/iLNN5+W1DuXjouNljAOu +4THX7duQv+F7Af7vujboc6agc02fveC62gEMb0GPcXcOXLMFYSKeT4BhDX4+ +hdyDPX/ibIg9L+HMZ7DvZB1Bfl4Wtl2pOB2G3O21YchfcWYEvN3O1QPM32nI +j1LVwUnIvlC9dAx+Mvi/CTxD2D+M9QdF9eh6KP/MF7mmbQ36gUT1+mGu3DBH +f0PegN8q9t1MVZPkh7G/n6i3P8aes8CRw+85yPFEnJP7Lal4WEa+WkXVPu9i +3plz5ve8e/ZNyG8y3cU7ubflvrhfVAzzztsl5/GvXPyzv8lf03bia7qPyl3i +jfydylTvh4GnJ5J9C85PYS2Bvh/Ya6F8TcJHbyQeLrvvWceskzuxMF1L5OfJ +SHs4A6Y9E1nXLdf2fKx11i+x8y7iZK9kneqRk7n097BnNVZf73S/lz1D9nmu +/ROr9jl/yCGxEnMVej/21kPFxVxzjfYjBZ2d8JyZMP/EvL0s3EEqnwO5ctJw +X7CnKpHqn7H2Ot7ny5o5tDPmaecrSHSe8/h2Kv9XY/XoYFm9yd7iedbHz4l6 +5qlEtkHbeSd/0z/jOhupthuQo5FyRazEzHnM3vojVLxVyBuR4qYfxkC/u3PZ +00T573Es6z7L3vgl1Tt1K1XvkiNysSdT3s7EmoucHd2ek6OOnXOMNZwVxBP5 +Yq9xNnRGyjXvop25iWxnX1FG0eb8pM5a/ilR/y7F6oEHvveNVPElWH+5pJrk ++zsEnLOcLYnu4X3EQL3H9zLWdXPFuXHEtTHq94h5J6+DrrGFWL37OFF8nB1r +ruG23/clz27O06b7iD34Ls6sQD/mOTHpPmE9nPDcJi7WLLERT9WY2H/kkX3O +95mSsSyX1QP/YSvpXeO9nBlt54J90O95OO81YiZ/uf/34Izsd7+w54777WAs +y/bPuqGdNcmYap4trMGKdd5Vc7+xTqvhZq3Wrbc8g7tdn322V6yT/8lM9x4C +ZztS8bMSKydtn73iMxOe4Xw3mfd7rjnyQyzER2zEPOP5QDlr/b7x8OyK31xy +SLyNaNNHw33H92rD7yDfw22eCZynNf+vwdrY6necnNbNyZDfNb5v7OmK+3Eu +Ua+cyRRfyzEyJvrhWsU4iOGHRH5LXXoj6q5D+iIe5u5fcoZVHA== + "]], PolygonBox[CompressedData[" +1:eJwllM1vTGEUxl/T3unc9723m0ptRCKxYxALCwkWpB0zHQuJNGFngZaYqo+l +BRUMFf4BMqUlaqw0JKwkFQtpU3a+Stuh20p9BvV7chZPcs57vp9z7l19oLLn +WMY5VwTN4G1wLh85t7DMuYnYuefgJXJ3zrm4FR/QRsBe9Aj5A/43m5zbRMw0 +8pK32A3o79EfgL8k/gPqyE8T5zZmqdPiXILvCdDAdxYMYBsFScZ6uI983Jtt +BpxDn4yt1mbyZci3CvsY8kXQGayGat3ApwNbmtI3tfbR0z1iB7FPYV+nmZHP +kvOjcvNWwd+DM9R/Q0yR2D70Lcw3ib2qefBPszazZi9gHyK+BorYOni7gO8l +0KBeQo5ci/VwBNssb3nyD4HXxJ4nZi6yGqo17K3WhHIEg+RWat7G9i4Yt+pZ +vQdvveaxP0Hv0Qzs5hn6V/Tl1K+3GOfiPkJfRP4Gusi1I9jsA2An8gz9/aaX +Mno7+kpx2Gxvr5BPgq3INeCwz8XGvWbW7IvUeEHulB5O49vD23pcb2HvDVZD +tcRhHd9D6H1wUQFL5Coktrsa+iPiy4lxu5/9dSHP4789Mg7bkNfw1t1kOZy3 +G9GtiNN+9FJqt6abfYx+GT3Q21piDnvjSFzprdfbTeg2qvRYQp5O7db1DYzT +X7/252znJWJHvHGhGx7H92pqs4sjcTUFfiHvJt+KYDvSrrQT7UYci2v5fCL3 +v9i40A0exHYd/4XIZtSsn3nbFhkHX5A7yf8zY9/YLuyFYLenG7+CfDQY97pB +3eKdxGaP6OFuYhyL63b0MfRT6EnOdqhd6pvRt6O3QeKzqd2OOBAXP1L7N6iH +78jlYNzpxnRrulndrm6o4e2b1berma6R/6G32ppJs43GtmvdcJX4kcR61Q0N +I/8H0V6cpw== + "]]}]}, + {RGBColor[0.2927161025, 0.32223204250000004`, 0.3451746225], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFV1tvlUUUnZ7Tc+r5vjkJTVECGhJCUEwa0cSYQAlPoISblweCYkRRlBaE +nlIQjJc2XjgCLQaKDxADsS0awVdTX5BLTMC2tIUWSyQxUPkDppKIFVyLtRoe +JjOzZ8+ePXuvveb7Zq3f+tKWTAihuiKELPqvYwgXMPgxCWE3ZGW0K5DfyGNc +FcJ19E9gQyfaAsh3Q/Y5G/SOVGk+WKG+7HF/LoQ+tDroL0tD2FsZQhv6Jtia +/0AIC3He71jvyUq/FraPokEULsGPYxg/ksgGbc3Myo/dPvc52OqCzsxE/tIf ++twBvT60qVgbwr5BtNmYz0AbR5sPnbm47zrs+aEQwvPFEPbD7h+Q7cB8IdYf +jbLNO1N/oEJxeRltBdY6YXMl+pPQfw2yj7gXfiziGVH3WgV/nsb8fcxHMN8R +5Ut3Rna25WSTPp/PKbbzMpJxjX40wGYtbPwV1ddWypfvMK+Cz99GyTjmvWmD +thbY5gWPGTvOaf9D7LmGcWuUT/RtZ9Re5og6h3BuBja/gfwfzG/bZ9r71TZ7 +bZ+234vyl/Fb7lwz58wh81qDtS1Re9fB9hyMmzF+HH0O8d8H/ZWp7J23TeKk +hHYL576bKJZnrdvtWHURJ5B/gb0TOZ3Hsy4aM8TezYLy+Cx0pmc1pv+cc/wn +1t+BH+egvwl9A9o06L1i7NEXnnUWfT/OXpxVrIkv5uLNRPjahX1teeWOOT1c +pdogtr/EGSuA+ZGi8Htksn6qpEf9yRzXJ8oPMcQ7N2L+JM79LKpW6McQbPZW +KjeMRZ9xxfvSR+oQl53Y+wzOPYNzW7Beyqh2aOewffvYeCAueA7jOQ75TceW +MT5iP+kvsUA/efdG9HOwZ0pWeCdf0Ofbjg0xczmVzr+wE/KK7ZoKzSkfxPoS +yB7M6F7DrgviqRk6T0GnvahaZc2uwrgbsibfp8fxYAwnoD8Xa1dT+bLKd6Tv +1KMOMdVoXNHvWnNO2TxGjmkqKL55nJXPi0+Y8+8h74O8WFT+y+aF6wXZeQjn +tmYU67LruNm1/BvWHoaNV+HjxVSxO4DxzkSY2hvv55J4ox71f0pU4x2OOXma +e+nz2kS8Ngx7A7ZJ24zZ+Srd8QTGXZXyabSgOLen8r/VfrK1GBvETo/x80JR ++txH+WLHmrVWY5yczWnfGueOtcC8j/q+vDdjwFgwf+RO4oPY5Z1pcxfucQ5n +jSHWdyG7kiqPzCfjyjyxrvsxr8Z4tbH0N+zNCspnyXPyOPn8xaI4YMA1/DP6 +U/ab2Llln5uidNbD5mPmJfIT87woex9n7KnPu5Y8Jn9M95sSjCv68EYiDiqZ +Sxgj6vN+xOW8IBmxRnuUXbeccSKPMFaMH+Mw3RzHeuyG7asFvWWbYX9fKu5e +mup+PJ954f3oD899PRFfb43CRZPxz5hxzLeYrS6r/TyHXEo79Iu+0rehVPG/ +hL7enEnu5Dt7yXwbjL9mv4cc86zmKJ23Ep1Drhn33cfMG6wzYpLY/KWo74Tj +iepi0PanpfpOGDLvUk68sR+yDv2iz4z9nlRnkUdZP1P9xnL9nO/F+mEdjaBv +zws/jP+9WskL88xJu+WTc/IJa26K65H1T7zeKEhWbdwyj8zhAvMM70xe2m+b +kzXJfn8qzh4zHi77XrNtY4bxtgHxPE1c4V57EKtRjE/g3GV+s5cm4sk+cyWx +wRpgvZB3q+03813nWq7AmVlz9KdRmNiWqGa4f9w8QT5hDewyd3VA91DU21NO +VeOjrvOGVPr16KO5e3MqbuYbxzh0Rp37le0tMc+sSPXe8xuh25xxj1tyeoPu +fZdgzxnM3+b3WKX4jhjqjuLu4+STot5fvsNnHIcaf6sRo9v93TtsLHH9tGPF +2FGHGD4IvTuQH43SHXFe2A+b50uuJ8aVfpww9zYZ959E1fQM57MlCvv8xmHs +GMODkB1DuwubHYnyQn6hP8uj3ia+UY2Ws8Zpl/ZLifj5P9+xrSgM8O26MykP ++r6rsM3g8TTX/YRzTWy2Gf+rzb3kgE2p8sh8bkiE0e1Rtidsn3nr9bcaY3HK +8aTOXfv2QRTGN6Lf6Hdub1E8cNJ5PBD1FvFbu8f/DJyzv+Yxv0vK5ub/AbvS +tIE= + "]], PolygonBox[CompressedData[" +1:eJwllElL1VEYxo93Mv//cxchEVQEEpWBZEEEpbQqGtQmgiZIswyn1HvVsogG +qI1DhkO70rpagX2BVg0SZE6pXDFo0+A3aNOi7PfwLh543uG85z3vcAqqm082 +RZxzp0AMNHjnxuPOrY06Vw+vBcXOdHXw90nndq8y3S3kfuQD+O4HHYFzM6AA +2zv8a7Bf0Rl4PvbT2CqQM8h/uPQI/B74hrwL+114M5hE3oh8Af8fec4V4TsM +5pE3BMaHsS/Da0PnUsgjJF8PrwDd8GJ0h+HV+MwSbxq0eIup2NKlkVfAz4S9 +KYPtMpjHNgdasT0DOdgjYBBbO/mUOPNpw5bk/VPcNwoauK8xNK6clNtoYLnu +QNeJPIWcz/nV6KZ1HzHexq1GZ5ETxJuM2RvK8X+K/S+2f6Af+w3kTZzNIt+E +j5HPUtxqWo485M1Xd+iu595yV0/Um0bk35xfB84jvwHr4XuxtxHrQ9J6oZqM +w7+SQ2HMfJbgvWBNxHr+CN7H+Rb4BHhC7CxIc/ZTLjE5fwL0JuzMcXgrd0zh +m0A3iu9t9STHZuAOvB0sxO2Nl4g9AFbiVgPV4oG3WpZgT2P7Rbzt6j84SD6V +6D7jOwGuenuT3iZdk7eclXs5/V4kn/nQerGZmAvwQ4HNpnpQhv82xeBsJTkW +wreAUme6rfAzgc26eqhepsBM3GZEs9JDzC5iZYjZDR/wtivT6Aa9zahmVT5l +mmXwOmY1Uq26yLEIuUj7yF11oc36GGiBt6IrxbaH93zE90VgXD1QL+QjX8VU +7If47ITv48w1fL+E9nb1cFbvDy1X1XQ5z3qoXuqMC62mqq12tIrzj0E0YTui +XTkX2N8hXUb/g7e3qsd98JcgN2FvqsV3BHkgarpX3v4I/RXq+TDy0aTVXjN0 +DD6HfShif8J38qsLrDbagU7s2dBmWzO7GNrOa/fVk4v4dnjbHfXwurcd165r +5mqwpwKbLdX0vuYxsFppx3tUX2+zq5yVezZps6SZ0l/4H6S3rzI= + "]]}]}, + {RGBColor[0.3246377575, 0.3579367775, 0.38140091750000005`], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmXmQVdURxt/MY+bOu9wzEh1gUBNBdty1rFSCGGM0imDUVCrBBA0BNQsI +KosoRmAYFhkUBRcQd0yijopsoqwRkPwRWWR3jZX8YSUQo6AYxSzfj/4sq7ic +fn379O1zTi9fn+kydNQPR1aXSqUf67+yxq41pVI3PY9VlUpTakulJj3rRW/W +OFXPk6KHmv+46GbzTyzFOM0075m/STIfZ6XSs6JfEN2o8Tk9y0W31gZ/tr69 +Mwt5vvWk9S7UuETjUj3niP48lUo315VK/9X4SXXwh1TFuMwyX2RB8/7o6tCD +Pc/7uyuqYuT3PXo/PItv7JHMxbVh0yLJHBT/Gdv2oPZjgZ6BkhmWl0p92pRK +Y4tS6Seie4i+TvTVonuLHiX6I23kGsnXa+4HNTGfub/Wu42if6XxSsk3SO6a +Ivag1fvTPwt51lVpWyqdK51dtN49Wezt76vCpqdt54DaoBdXxfiM6fuk/ybp +f1z6H7b9BzSvTjr7Sedx0jlXMjdK5hHJjNP7yXrGSGYxtujpKz3z9N1F3h++ +NVDPRaIvNc23hmm8xmf3gfTeoDPqUF8qdcri3XrbNsA2r8xiPnOPqg4Z/Tui +D/4S8XvXxHkg37826Islc1Y59rBR48v4qMaXNPYQr6ee5y1/ifcT/gDbfKbG +s/AZffPYausV/5gsaORZ9yKvvXNN+Dp+zjzmP2Ef7mRfWlPEu/Za9ztZ7ANr +Qg/7yJ5/lgWNzseymNtf391TG76H347IYs4Q7+dQ78m+Inz1hhTzGj33DNvT +IHptbfzGzgvtK29obNS3OxIbVTE2Ou6I8TM8F15H63xTc67Q2b2VIqaW2J6t +2uOxmjNa+vbKf04S/YbGfRpH6lt3SOZ6jXP0DK6Kca6ew5IfI12fiz5fvvZF +dbyDv066s7rYzwPi1daFPxC7h7PYk+YU5/RmpVT6kd7X1UU+2a/vjsri+1M0 +NusZKBu31Qa9tTaeKbZtfhY0MoxN5rdUBY1vlxUTv9X700VPS2HbdXns01qf ++9gUtl2Qx7qvtx5yCOc3xP4zwjHDM9z6l5hGpo/svjILH59YDj2D7fODsvDJ +7cQXcVKOvRzpfdtmPmuZJ3tmife1PL41z3xs6O9vkUug8cOj0J1FfiVGoX9X +FXlwQBa+8brmdqiL77bPgv+i+EP0jROwtYgzWGt/e0i8N2siLlnXn/R0kL5f +SL6zeDeQf/QcFn+OeHcWkQvHV+Ic/1kT69oqfzpR9La2cbb7zcd+cij5fLbm +fih6hvQ8oN/fEr1dNiTNOV/nd2oK3+zjPMAe97E95I8jOUXf3i35XqJ3tY2c +0cvyhX5/V3pOlp6eRfh8jyJ09LbMp/q9Rbrmp7ARH+wnne3q4jc0sf6593ys +1rlF+3Cj5l0ru7uJHi36fY3vSP5sjROLoG/X+Foe9ePRIurMHvG76/etRdC3 +FOG3fBffGyP9m8mFmrdSzzZqT4o9+9D7NjeFfbs0dqmJs0ji3yddB0XfW8Q5 +QA8iv0rPPzQulfwW0QdFPyGZWUXovauIOvO06yM1GT/Bjzbr3V2SfygP38Av +9ldF7DMOtk9i1xDXuxecJ+uzqJnkJdbHOtnP0eWo5dRxbGnwb853kONopuOZ +WOMM75TMLH+fWrFP7yZ4JMabnRPIEztZRzl0bG8TeqC3aC33iP9wHv41R/Td +5cjxw5znybHUIPIn50CM4G/k9itEX16OOoy9f5DOm20DdF/pHKffY/ScJ3qm +xhl6zhF9i8bxfpjzVFXU/6nGAJPKkTta8X+to8iiXuFr+Bh2sf4WPatdX4Y7 +L3EO+3wW72URR8TTuxpPbRM+OdvzrtLzHfGm6nezcxXfxffGGS9QFz503af+ +w9vuuaOcu/Y51vEv4npZFuu8tRx2k0vAnLvFH1uOs37K+8VebdRZTBb9jRS6 +Z1r/dufZgd7Hcd4r9gf5c+0/T3nPyfG3Oc8z3u49xN+bTE/wyP7Am+TfE02j +88vfyOBDE81vMuZlPWNtE2vp2Sb8ABtu9bliE+Mttufv5XgHf3EW/oGOM13f +qUH1zt9g4x1twl/ZjwM1kVPY39H+LnpY4wTrn+C1Y/sYy2EbvjnatpFrOlUH +ptrn/WduZ/sUWALMC25cWPVVXA227HjLXyZfaJcF1qLOHOVawzq6+rwbsoiV +ZcYY+FEny1PXWGf3utgXzrXV+QZM+GoRZ/NgHnie3LPceLDR9p+mufvKEVf4 +/FmOPfJqd+NG6jIxSt74wv0FfcZuPTsld3fbyNfE1DXGMGdbH3Vvo2vf7ppY +Q3d/v5v173J+4RuTHWdjvE7Wiw9f7tyDDS3e/6uMhZa6l1ngPoI8+YlxGniN +M8ce7JqSAouCScE15DHidLS/eZWxGbKc1/eL0HuBxr/mES/zNXbIAndRK0+u +C8w61X44xPm5R11gJnx3rrEfuQHM32T8yjcfcC7YURuxCq4Aj80zDgPLbDOf +/ML5geufM15dYezK2S4zRuL8qcXg+h7+Pd3z2HOwP3ieNYDtW90/DHQPAs68 +KQWuBl+DcxqMf+h9u7p3w8cZ8XP6yKNNk4P5jX/SS93uuGLf2hsv0bdNdr5Y +X0TeeSAPG+hv6EeOYPLqqB3Tfe6XlCKGOSPy5Ks1kTuoYeAO+vBZxs9rnWvo +O4lP9odeDrvvBSOlmANmeVv0n2VbvxQ9JzV0UB5ranAs19VH3O5N0TeSr+6X +zIkp9nSTeLtrw6epbQ2uv8QwcdXoHAKm4lw6Vgf+w7ahecidYDvBkdA/z0PH +ldZDrRhlrNtkPyEu+ubRk4+QLefkcadwvegNwj9rRPcUvV70atE9RM8pIifO +1Xh5ijp3hcaGPHLFjaIP5pGTXqoEhmZf/5UidskR+NKhPM7zsPgrK5GXO3D/ +kEe/uFa87+bR440W/8I87iDGif44j1p9P/KVuOP4nujbisgdr6TAweDh9yS7 +phJ1sVOKvWMP8ZOuKXrmbinwCFgEHHJ6Chr8C+YC91Dz+6SgwbPTylG/iS1q +CTWF3H9CCh/ljoE8Co2vTioCB0zWeEc5cAmY5OspfJ37A2oUtZtcj1/Dv815 +CPxAbrypCL+82n0DNOe+QXq+KR9br3GhMeL/JPtIHvhqaxE5+5S6sL3etYNY +eykFf0UKTMZerNK4IA+895rmrtS7UyXzssZWzlL0M/iznuNFT89DH3rJY9Dt +XJuwHduwCRyNHvagnW1Avt44lXgBc4G9wNLg6mQMNtL9L/nw0zxy2B91tv+u +RG9Oj07MUUcXOm6IcWJnYRH0TzWvfR53CpdK/m95+MmFev9YEXO5f9qkZ7/m +r0vxbWzi3mC+8zm4ifzYw/3LvDzy1QbxF9PnaI0vaNzk+xP8jnoLn3MGj7GH +Y322D7n24X+cFxjxlTzqQpP0NIlulPzDKc6EfSSnTRX/WPEfFX+a6OOoK2DF +IjArfdLzKerKIo3Ppqj9z6XoKcHW5IeJ7Iv4D4q/LAVuo1/ZbuxOHSV/vu8c +Su7Z4ppMbd7qPDuyCJ30T+Pz6I/ok36Wx16M0PvfFJF/hxeBV7r6XnSHYqA7 +vWfbqBfdzad/7WIaX+jiPgufYS7+s8b3q/DOy+Nu7qIisBx4g36HeZ2tp5fv +5noXgUWQmd02MPsOYz9qLfKce4v3AT2MO0z/Mo/7k+kpaja1+3TnHfwK/yJ3 +kiuIO2JwmmsquYP6T52a5joNn9iY4fNlT6cb83Dmd5g/3TLIM043n9jFhwaU +YpxtmlxOzmH+qhQYbnWKc0UGDLM8BS55MQXvbvsh8Y/P9U4RE3eZP8MYEBvw +2f3mr7UcMbTZfTf990yvH3lqID0ndRIMSmyAq4khfA8sTc5C72kp7qrAHR+n +qMMfGUOQl+/02rFrlm24tgj99Nkt5n+5ny2ml6Q4r88qMafF+7C3NnIatfjm +IjDo+CLqM3Wa/WR/dpoGV9OjUefAKmBIbAWX7fD9JHhsu/upXVncu20yrm62 +D4A71rkf4d6O2rTYfeIqY8XuKehXZPOCFHdKk8j31DbRk50ndhj79RJ/reQ3 +Sn5dJWruIeeM3cYb4BLwycEU/fVe88El4JOpKXx8nXHRf1LUemo+GPN1f2uR +sWhfY2/2Z6b3c4/vY9G7q/ar97u8hy9XoqZT26kL2EPtICehnx6wfX3wwBf4 +MuvCp05KcfbckdAL/CULfLxB47tZ3JNzxwtOo2aMSjFSQ94W71AW2PGCFGdz +qBJ/M4FmvejYaT3sK/t85ExTzD8mj/v1t62H+wTyOz3gZSns+UGKv0d8kkWv +dYoxB3chI1Pw+0nP8BT3tt/O47zpEfAN7lTmG9uvqPh+VzJnpljnGdSpFJiD +Hu7YFBgCjNxR9BLJrKoEToEm5voZu75VibuXDV7jPH9roPHI0ixyW2MKenUl +7qkO2D+b3WsMdP0jho9P0bvTw9MrERubje3pIegf6B0GuUegJ1ru3hU8Q6/T +yfa0Wh5cOMz8ocbsW3xvQ93bax9bYn/Dx+gbOlg/cdnBfcRUz2fuI/wNQO+a +XW/bGZM0uO9gLvdw9LDMJW6Qx2/xzW32T8atpgd4Lms6kEIv9fz/PxWllg== + + "]], PolygonBox[CompressedData[" +1:eJwllmeMlVUQhj/YvXvv/fY7atClK0WWpShYYozSmyYKIsYYbBERQaUjPdKr +SpEmCAgo4g8FpEnvRVRCky5N/WNAUFhAaZbn9f0xycx5Z+a0aVXad3+mW8ko +itZAudDHIYrKZqKoVU4UDY5Zh3bD70xF0UvwjyfowBdj1Ah5JXK5vCial46i +UtgOY60M9gdYuwbWFbkOjk9hMxS5CJ0N6L6Lz++RVyLfg/4o5G8T76m9S7M2 +C6wctAL9gaxtAS8G/7REFKXBR4PtZK0Ve61F527kXcjvobsRuQZyXn4U1WP/ +pchrs/i9JYp6YLsAHwXwzdGflfKdGuN7B/Qb9nXRWYf9efAV+L+JfQuwc8hL +dTfkJsgL8fkr+sXYTwY7Cy0EvwxeH7wv+F7ww+D9wLaxdga5EP8LdXeoCeeb +wFpt+J/BG/IPw5B/ga/L2mT4pujcB/8dPkYj34v9auQlUFHGPuW7OvL6tHWk +OzT2W+7nTFeR+yc+SyF4X/i24HfAX4JeR66J/fgcn6kWfE3W+qL/Nv9dCD8s +8V8+hM4g+Nmxz35Ob45+6eC37iM5MYmvxhm+DP5D/aXOvDTYp3z3wWcR/Ez8 +DQc/C60An8vaRfie0BSwRbznsJTPVAPsEDq34asBb/YB2BusbQf7EXoHvhNU +Nsdrb8IfRecR+J8449PYzoQKMn5zvX31xGfRn+nvvgKvDj4AebNiDfkktrdy +5iPgFZAb8FaDwMvDLwr+277ImxLnjHKnFnSEWNwHVYWfR/zdADuOzgj+5iA+ +r+DvGPZH4D8HX4P8HDobUn6D3fDTY++Vw57L0H0f+3Mpv0F//QX+D+T6jrpr +C/CWkWP8Mfgvgv/iMHv8BX4Q/SKwb6AXFa/BsX6F+zVDHgG1Yb+K2HwCdi3r +vfUmi5FPKB7zfOarYGe0B/Il5HrY9kBnMfIq7tMd/kPWeun/8TEf3TT71891 +jm/A/jOoXgnXkNnoj4m991F83Egcs4rdI5x3oGInOBdlI9v1wbmrGqBa0CX4 +LBO5Tyl8dQ3OzSXoX1EtSRz7OtM03TU4NqajfxpsJGvl9F7sfx25H3s8GXlt +DrpdEr9dGfSPgW1l7eGMa55q3+qsa01r1jLUm/3ct1rKf6q/3RScO8rxOaqn +UMDXDdUkfE+OzVeB9uQ7ZhQ7hcgHFE/odMhzTBaAbc+69jVm/3zwp/B/Ou2c +Ue48ik5x2n+kv9oAvi/HOT8LbCw2bVUP0J8GPhy8Hed5EP0RwTmmXDuI/8PI +7bGpjH5N5F7oD0j8N7WQXwObmG9dxaRic2pi3+ehAbF7hnqHesDX8Buz/psn +2K8qck9oUknHUC/FT3Bu7EGeHnxH3VU9ZVvWMavYvYD/iexVGvmUMOgB9D8K +th2HzgzFOvhi/NVA/zC+CoLvqh6zCn8X8bEJOcP5OqE7NXYtqs6e88COYVM7 +ZR/ydRybXWn3RPXGzVnHvtZO4LtZcK7rTDrbP8j9Mr7j3/BNWbuedo9RrxkV +/BblwUfCH8r3WZWzyt0YapTrmr+VvRpi/6f2glqqNuk90u5J6k0/5Dt2FIOK +xQXY1FctUs1GvwrUMNc1uHJwzih35KNbcM9X79cZeyM3j22rHqleqZz5P3dY +aw2+PLiWD4ZmxO4Z6h0n2X+I+n1iXj1UvbQz8o6Ua7Zqd53g3jdJPQ9+XWxe +OahcfCF2LZHNW+gfR6cN77mSO20C/yP4r9XzLwTnsHK5vGaO2DOKZhXNPMN1 +l2Bb/clN9avgXjKbPeeDn0R+FuwQ92seXJNUmypoHgH/N7GuasA28PuDY085 +qlztkzg3qqnfxs5p5bZ6wl74NejXyTgn14JfDv573elK8Myk2Uk6a5FXBc8C +mlk0u3RPnIuVkNshd4w9KymGFcsvI+dlXAM6B88Emg3UA4codrK+m3qSepN6 +hHqFarxqfbXgWUs+5OtScG1TjSiGn4DO7yn3nPGJZzrNduuwKdT/4W9Z2jOZ +ZjPVANUC9TD1srGxc1c+xiHfHjuWNeNp1lMPVS9Vzh2Fvyt4VlLMVoJ/Jfbd +NbN2Q39u8F+rh6mXTUk8q6nGqdZVDI5N9fA74TvE/ps9UG90xwTnvv5cf98x +ce5rZnoe3fXcZ3naPUy9TD1fvV93LBM8M2h2kE5Z1bPEvlUzX8V+S9ZvoxxW +Ls8LjiXlpHLzP2mWqBY= + "]]}]}, + {RGBColor[0.3723175625, 0.40476015, 0.42477252499999996`], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmgmYltV1x9/vm5lvfV9QBGTXAQVBo0hAdmWZkU0GWRUYwAEUbRtTo4Sm +dUei7ROXYKqiuCVtIogxrVFkx7hb05rUNE9i0qdREVBZRFEQNf3/OP95yPPM +ee797nuXc88995z/OXfqF35z2pX5JEler0kS/SV1uSTpJtqp+nY1bBPtVIfP +9Psy0cWijmp7X23t1K9SmyS789Gfce+7/kgpSbr62yK1f1ttl4uWJFFfKlok ++pboKs9N2zWixaKr/e2wx8wWXervfOurOXdp7uNVfqOqOVXPV8ST+aV9ufqt +FH1fdLtotegB0Z2ih0QPim7297tEd7iNftdrroHi/8FM86g+SPWHVS+mSTKr +TrJKY2+7vN9ztO6Xqu/JxX5uFN3gPdzk3zPrgp9bkIX6Xiw6Nxff7zJf2/W7 +UfSF6l8XnSI6VfRf6jtFtEX110SbRJtF/6t1Z4m3N/TtRP3u7f4dXTK+k6iP +v70q2ujxT1gOD4t+6vIR0TrLgW9rLTNkMl/8zxM9qvrjbqNfZ9FpXgP92aWy +l6irqB9nJaq4H7xINY7yCo9lt/Fbx5h0cb/U4/n9b5L7yEKSPKfGGdrvhdrv +j7XfrlprK3qbi359zccQ11n7fPd5W/UdnlPTHR3zjsoOoj2a91PN11CJc7rT +urDUZ7Xcerfc+vJZMUlOEg8fcd6iD0X71F6vOfdzDiqr2swmlS+U42wftjx/ +oO8HxE+eO6Y9jUKmah+vcoHKqcihNuZlzga1z1d5oejjJO7GLFF/fW9ROV30 +pWh/EveJ8WNEY0X71GeS1jqgejeVB0Udte6l6JLqo1Sf5r4NosNptN9UifVG +e64X9XulxqzPYj36NoqeV/vtav+Z2r+ZhVz+VmWuTZJcq0P+cxb2YGJN3JH7 +9Lu92lepPKS1mtR+o+9Zk/k5mMQ9v0h0gfrt5Y6oz9dysR/2Ul8TdfYCHzOS +Y3xRsqen9G2I6CPVmyTnM3NxLoxjLsaenIuzo07/Dyzzy/KhD2NzYWs4c+7o +7jT6DBM/U+tCN7BlebVP0++vqnHn0Z3bLddpPpNnRWt8n/pr3s6iQ6oPQHdF +n6Nrks06ybBe9ILaxovaiHaI/3dFP6wJndtvORwphx2ZLzk9IJ76a/wW1T8U +P5+ofYzaUuvpAZ/lVOvS93yXblOftcWwEwNEJ9fG2NFad7HKj12/WOufpbKT +6BX125CEHfnKe3tJ9LLrfHs+F3ePezdY5Tj2ovpezkn1yehXJdaC3+Xiu1b8 +36zyvULs+Ufib4n69Gbf6jPSMjmisfPU3l3tp2Rxl1lL2zgqL/rMVX2ibemc +JPwIdXwQMjlUDLns8jrIdqXO77f69h3J9UX1nWQ7PFTlBaIXrRtjfXbXaez1 +omX5kOWP/a2xEvqDXVlViHngB31ssk6+UxP7xV8x/xTRny2ryaL3VG+biz3M +Me8Tzc9tmvMfC+HzqN8qugKZFOM37cv8jfZpKqeKNubCb9bZvze5/RPVe6pt +eiHOd1Yh6rQ3qmwQLdJ8vxKv00TdVb8DvVD7B+pzHnZMtDAffceK2muecwvR +Z10uyjGu9y1FnTlYH/6wL8flQhbo1BS1XWieu+bjN/f3p1msc1hndIXa/kr0 +Zi7uywTrxt5cyARf3OB29A0b0OR9MV+T5+xejLmYZ4bKbvmQQ8+aWJs+g30m ++JC6UthSbCr+JLVPObEY88LzLDW8q98Xqby5EnYV+4pvwxfi6/BR+KrBSfgt +ynOSuBOX+t49Uw1csV5lKRf3h72wN9qXJeF3GTcoCZ8/MAnscF8lZP1UFr5/ +kL+xzvm24Serz62yXU1pzNFoOzoKGaEjnruPeWSO3v4N/gBDgB3AE+v8e6Hm +axE9aVuAzQMv3K419qn9jjRsx+MeUwA3qjzb/J3qNUbbVk35Cxkhs73lwE49 +NM9QYz8w4Cne9wDz2WAbPNDlGH8f47kHuGSvTfYXM1Wv9Xlz1pNdx3ahJ6t1 +vpeLbqiEz8KPYcMH5eK+lj0PfmRdFv4RPwnGKfvs7ymEjcKerajEnfpc83xX +9emqH1H9VM+JX8BXjLHNmeI7gi36b5XX+o5jh7BHyAW+uK/4U+YZaD+yAD+h +Pu9o/iK+j7srGiHGDkpP5oku1x6XFIPH+wthv85T33s19gR9vyeLNa/zuh1y +oad7ktDZUa7TB/7At91qYyw4AP74RvvTxbAb2ARwMvgFfIO/xe+CucB8YL/O +WegSvgc/sxV9VXtHsGEa+Liv5Hef2u4VLdHvV9OwLb2z8EuMe8l6t9G6uc66 +y++htsHYn2XlsHebNOdm0a9V36LyX9T+rupXZzHmVfPEHK/5Nzj9Nd+PIdaJ +mbY/1VxgG/Aa7WA58EjFdTAT2KlGCrdd/A8X/0+q7ZU07OEzWcRiaS5iotfU +PlPtfbLQHfwTuvKu2h9Ue0sWmIp1id3w4anr5+rb6zqDd7LAlhXz9oR5Z0/c +482+49wHbGC3JOzeDtfBeMR+xIMPSUZfF//bNOdJudAP9OFky2Gf7xdjsZnE +iB1qIo5Cbm9Ydu8mgc/x6UO1j+4acwJ3QvWBojW5sK/EP5w9mJF9Ekf28h4/ +tZyQ18XWLfZ5qfdKHZnXW/5gpH/OB0YHv/xcNmWp6k+p7JcLO7U7ifiS2IMY +c5HPcrHXZq0lljf8IM+ePnf8zrNZ6CS6iTwYi250TMNutksDH2Y+X3BLZgxw +qu8xWCJLIx5rm8YYxrZPA2dhr5Dxkz4/zm6t9Z178CedUa3kfn8Wuo7Or09i +T2ApYqJuxgm9fA60cxZgXLAuTq8kmqN6JY14mLi4Lo2YcF1yLEZ83OvProv4 +khh4jXlh3YNgOfHzDfHz23LER5OziDXhnTHHe7/s+7xK4NRxacRUT3i9sWqv +V/u3NXZOFrbgbfVJzSf8PmBeWL9dJWKtv1Hf39UE9nssH76o4L1397njm4hr +6yyf53KBOYnjfp0GDvleFlivrc+on+8Jd4S7UDIOucA2/Dj7c9qxwwM8lrOe +4LOm/+nWfXhgP+xrXha2YZhxVz/fP3jua92ET2x80WOxze19H3vkop11sdOL +c4Et0TV0Dt3bUA0cObwaOk07+Bm+0Rts6b/qvHZIdo/Yxn7lMz3FOozPwt/g +d+Zmoe9fWucX2gce8X4bXB9kv4UsFuTDhuAHweQT3Q7G7OH9gD/PtR95WWvd +pTEn6GxXZ2GrsdlgKur4qKVZ8AzvT/mO5+x7d9iGTrLvQibYJ/A6Mr0lC/y3 +IgusCE4mzic/xHhsL7oMNiS2vKAuYtIW0bBS+JFm24xZths/yUc8TxwLDgAP +3FKJ8d0csz9eDLwyyvrA2YG92StxEPHrhaXwteTn/jqLduKk5mLkp8CMV2ah +8+j+x7ZP2ENsKLYUG3zQ9hJ71mh9mGPbNtv2rV8ae8E3PpSFr8RnDihFnRgB +rEeuhtjoau+1NYd3qednz2BO8OjvK5HfGp5GXL3E+rbUffkNtsF2gW9uTCLX +BnZozdG05mwomeMmf2d98Af5SmKfvMq62ohxiReQDXlKcDr5CO7K27aT2Evi +fuTWmpMhjl7gs8N2cH7kcIj3LxFtrEQcsSGLXBGxBHH7fO6uaGsucj/gW/I7 +Ox3fg3XBf+jSrZWQ4zTrFbFlF98pMN3ZthHkBlpygdWJQdkb9+bzcuCgheKh +JR96gY0YnYQugYXvTMNmjnXMerSeC7tNDoNcBjaWnBh5rAfdxu9rsrDD2GNy +qDf7HPh2o2U/xTo72uNvcr/Pcsbd6LPm2S4dPUPl10TPqX6mygZRH/H8R5WD +srCx2FpyEqx7FHfm475xV9Zrvz/T2A5Z+CLyrSuSuIOcCWcDn48kkY9DHtwX +8Au5XLAIOIS8d2/nDMkRcH6cHXmnHrWRQ1rpvaJrxPBdagMXfDeL+gHJ5Nlq +3LsrK+EzyRkts/xusIz2VSLufFm8P5qFHVnumIA65w4v253X3uqcPLzxmzp+ +m1iHmIdYrTXOGeh93uV9t8ZC9GM/6CSx7bRS7KveOcL6mmO5NeYj9kKu7Iu9 +PpDFHSFHjl1sZ9tYqUbs+1w5eO7TKsM0fl+m/mfYD+KDumQRA3RFj/Af5L6y +yFmSozngs4L3lbYR8ELMvM0yYf5CNfDgpnL4eXDG3WqvUft+tRO8ca4dzGdR +7WtVbi6HDxnrPMa3ssgLXZWFDxpgvzPdOoT+cM/BCNjztrVx939iOz/ZejY/ +HzgSDAl2BoNtcbnQ9RPSwGdDeEcQP6PVvkdlmzTy64PTiHXJa4MhiHWJnVqq +YVPzzoH/h9ovEv+bs7i3tGEjtql9iNqfyAJ7c574G3iE1xbfh/G2Zaw/yrnm +kuQyU/SDUtiYDsYhi52T4Dd2i/7c74/F0wTVP1O5V9So+oFqnHV7Y4xD1Vj7 +C/cdb1mB7+Y5V0B839l75vxm+72Eco7fHR7xb+rc71k+69o07vqgNPKZE0qR +D1ij+vhSvDWA4/oZI5XTGHdOGrZoUinsUVtjD/AbPndiKWzlSq/HmO6OsYjL +T7FNxj+CI1bh9/T79xrXVI74qqhyhuhutf1INEn1Ff4+WdRLff5Pvy9wTgt5 +zLdMsBfYDXzZCvOAzXnUckMeR6pxnteXo+80271bPJY6+g8uxPd9VA3fda36 +f1qNc7iuHLKjb07lb8TPMLVty4WM2HdB5UmV0P/va9zANHJH5JDIRd1q+zbV ++TzinXGa46VSYL1OlZDP09WY+39KMf9atY9Q/WXp6vmac7XmaVQ5QX1youWl +uEvEZeDtX5ViXuYk5ge7vKXyPbXvED1WjHuF/I5LA09w5zqQJ9D3c8qBuylf +LEV9jcYPV/0l8bBL5c5S6M5g38eqyrna1935iCuHgCnVZ67ofdHuUujdhyo/ +KIXuoOMT/K7zn2rrXg48/ktwWjniDLBEo+/dVP/mbg3IwoZ0rMT3Bs9DDoAc +I3lJ4krylGC1D6sxxz+UI/5FN8Fqb6Qht7OzuK+j/d5EzIvtB//N0XyznffM +a/zEcrxFkIPjXY7cFe82YCcwFLiJM8IPL3LOl3uO/v6pFDr8msou5YgdX+ct +uBzx02hjdezt+c4BU/9OKWw+tn9EIfJmxNqjKrFOA/pgPSMn2sd8YS+4Q9wr +7hHxWV/HPujBuFK8N75CnohzQdcc1xDfYC8X2GZyp8H+rbl9+pDjIiYAG/GN +vPtt/kZ+jPcX4gSwMPcfbI+NJM7YY/uD7cEWrXZeiphnYTXG8obTxXEOviZv +TMpv/Ce+BB+3rRx++q0ssClyb419iP9acyPgPDAesc4UxzsbyhEb/C6Ls0Oe +rHHQthj7DUYBqwyrxtqLHXchh2udV/xDGvN/pvmuLoXvx6fut83H9re+PaM3 +xBNvOK/zue0/fqBnMe4071zw2s02GVvZZHtYks/+J/V5Vr9/Y5uD7eEbtpM5 +wGv0gQdk0cO+hrzKyfZ3+Puu1gcww1bjpXybsEXYpC8kl7/TPEeysBPwi9/e +r99XqX1fFpjlJOMW7gHtYMbJxcjX7bdfPMm+st5xDz4Zv0MeAX0GX11TOoYl +WXeSY0V4Jr44mEWfT7KI83o41jvB8xDLg0mnlwLD/X057vT71YgHzjYPf8ii +z/Zy5J962lYQs1LHPmf2YfivPxpv35pFjIIdwdZ1cR/uxQfGKmCWGcZD4CPy +Z+QxwWzk3HrZ/nAuZ1huvG2SYz6cC2pW/VAuCDuKH8Y2nO79kufrZ7mVPA/n +u7sQd5l3O+RzumUyuBCYByzIGyLxNvexo3lDH35ZjrMCGw60r+feHcX35p+9 +1Ns2gu8ec3wOL/CEzmKfWG+3+RzsdTdl4ft4M0cOZ1mG2NozPedW9TlbvK1W +nwWFiJnBFM2FaMfHYL/7W4ZdjEU5ow4+X3j+ueY5Xf3vr8Q59vcZjStEO7b1 +6Sx8Rbss5IR80aOq+UEHOplPdIN80lD3wa4MKxzTu6HeL3bmHNsaykHeO7Fy +v1LYJvqOcP+RroO5Bzt/SzttI23rB3oeZHt8MdalP+Vw14mdu1s2/F8AuQ/e +Uvtrb7/QmLOywF7YFeJhfFqnYrxdD/EZsRZ2mLcc4q5u9mnEgI9nsZ+t9vWM +3ZILe7PcNufULHww+fgrPA/vQcRGvR2jgX94CyQWWmUbAV+Mp47+bcwib0/+ +Hn/C2y1vluTBeMvkHpMPAx+REyMfRf4LfIq/IWdHbmqx6/gp8jzMw3sYuUly +lEX32e7+tIOlwFGNbifHMt/xCr7mrTR+f1qOd6oXzMNE88A87KOn94XvXWH/ +y3lxfq3nT52z6+R8JW8a7Yrh+4m7KPn9RC7ehEcbEyzK4v2Cd4wRlYjz33de +iDzNMmMdMM++amBZ8NEn1djTYu9rr+tX2L/0svwbvC48MC/zj6zEuXF+vA2j +X+TV0DHeqc5zjnGKz5c+p2URfxGHsdcRvj+cJedBXunELPTvaEyWizmx8/jb +Zp/XM2nc07fKkbf7wGv3MCba59if8yMX36L5LjEeRdfJAWHr/l1rnaazuLcS +92WB7ww2Y6DtBnuhD/cbDI3+gknIuyxwbopyvuvcI+4QdgLbxv8HYDfIf840 +buSu0G9Lqy0phN2jL/IhR4rfmeX6PPPP/AeywBMfZ2G70An0gfNpcJ3cwDjX +W/WmFUOOs84gi0u8LnaI/13AFrHuDPPP9xavy9yNnpOYkzd53vJnuj988pbV +Yjmzz9meh3KO9zvPssIuEcfgn/DHvKPynsr7Kf9nQjs+i7Pa4fOibZf78412 +8oC8vzKeOJT3zMv9JvtDjydvtsp9mL9Dm/ify45t4izm+swussw5N+Z+z+sS +67xnflh/p3kgD9fsffH/RHN8vshtnmXL3M2WSS/vv7PPfK77NLvOPOQI4Bue +29kfoe87vXe+EZvwm77n+q7hd77MIjb4Kot7vMj3ujkLLE2Os/X/F3kHIl4i +bhpr+4Gtf9M6vtp6jsyQHbLlXQIcjwyxnc22w7TxDYy+yr+xu+Ba4gne8onn +Jxm3YJ9Xuc9w54v5fzHO7V7P/4ty+ATyZPB+b+HY/zTdY37A1vjVtVl8v89j +4Wmv7Rhy2GtZcD7b7KeId0rG30udh+CsL8lCBuQa8Y3r7B8nOMYlNtlSDjtN +bow8Qova3qxE/mOt3x7GO7ZmfvIFl6g8XA2b2tN2dZJj31H61isLG8qbDLb9 +mWLYT/jeYxvePYv2buTJRetV75HFfPX2L+R3NxTjLYT7ut7+YmM5cAf5P2R1 +j+V5sBz+Cz/WM4uxW8uBMzkr9JA7DWbADnSoRIx8NFYuBS5txaiMQVYv+K2c +N/MWtzNPs3MA/CYOwC+25oBaLP9DPlPiJ3QQveT8ny+HjeF/RftlcY59szif +wx7//zKiPm4= + "]], PolygonBox[CompressedData[" +1:eJwtl2m0lVMYx/c5997OOe85O9KAJl0ZiyYydGtl6EplaF0UmnStZZ4yZ1mG +BmEpEprD8kEqc2lym6QsGgyFMiyUNNB8u5Lw+/vfD896n2k/e+9nP9NbWnln +xR3pEMJXQDGwIxtC+1wIPfnOzIRwLvg5QD/o/sBfMYReRSE8CP43+AFkAzFw +Mrxu0F2A48GvQP49eDXfMnQOpkIYAD4U/Bs22oDOWPCx+RCmp817HvxC1ryY +ts1q5I8lIVyG7pnIJyO7AHo/shbQ90JfiU4HoBe2xwHl8BqhPxidP+FfVghh +VEkIh6F7sPYH6KfqhPAAdGf2exLeleiXYu9ZZFflfGfd9QVgKfgCzt6bNSdi ++3H0L0d/MzAFeg1rBiFbiq9Oh34JqM+6ptjbj+5q5P2RL0HeGtnF2EsDI9Ap +hfcb37bQF/N9A/pjvkuAbuy5k/doE217EXTkvB9jrzv25sFrgawTe+zgLs04 +z63Re2rv3tiYj90x6O8q8R2fAV+S89sch04NuqvgXYu9dvAmQ08B2md9Zp19 +G3g71vTgO4M9l8MrR9YKeiK6NdA9i3zn8dFv8Xtt7OhN6qPzHOfbCVyCfCPy +avRLkI2AvguoQXcP8h3YOi3aV1Xct8B997K+MWd9B95c1j4I9C72nUaj/z76 +p2JrDOuXo3soOjabo3MAOgXch+xL9myF/kLoL8A7oDMVvFHdEF4B36YzsnYd +vMHBMblesQbv3qzPrLPfE/32isHzkY+MvktTeCuwX4S9h+Ub5GnwTeiUcJY0 +8BP4RvRLi2ptgj+NzT7IfoQ3DXwXvCHIEnj1dBZ8cDW2bgIqwfchvwd5Q/S/ +BW/MHhuhV+ltoP8Bhmado8rVTdGy3fhzNfYbYLNQbJ3DyHrC+xx8VsYx+SvQ +Bl53vtMzPrPOLp/L9x+ypi/v/zznWah4Q+9s+DUp14h96Dcptk8bcraT0Kmo +4xxahl5j2ZAMH28CbkfeDP0/lI+snQ50Qr6FNQHZB9G51wT5HNUexSIwHJ2R +QCrnnFIuiae7dM651uhO7VnzQto1pQP4ycBV2FvIeT7KOfe21N5VOSify/cN +wCegu4w3PQ/9OcgbR+fM/7kDfSf0nLzfWjE2G7wTcBa+vx/6XPCm2F+kmsp1 +tgfHmGJNb7w7OkYVqxXQi9HtktgXeXh3ROfe1traoBxsAl3FtyW2tgKXorO3 +yHdsmNhn8l2Z1kCvAMalndOLkDWVT7F1ATofcbcsZ5yVMq+ZbEGXk1uDMLUH +PAe8iXwu8uOQJ6oXyMchz4E3j5apJqg21KDfA/l1yA+ApxP7QjVXtXcl51+H +vVugO7K2LO9a/Aj0BuQBqGD9A6D/IluE/vyMY6QaWwNYMwHdG1nTH7xOwWfp +w5oM+JHA29ADoeuBdwP2oTsF+qKCbcq2esKZ0M2wvxjfdIX3O3AqNhdnXBNV +G1WDVIvEaxWd48p1nel46Dz0q8E+KYBfA69ryme8VrWh4LONVH8tuBdmc+4t +6omf8f0061zYDAxjTbFo9liauKaptrWGNxvZpMS4eoB6QQOgssR3rg8+BJ0/ +M85x5fofnP985AN1P90FnaOKvMfw6BhQLKiGTkD/Q842g3OVwTsG+ULoN6DP +gT5abx2d+8rpeeBHFOxr+aAueF/VR/Zfi04X6LXAYHTPwP407M+I7s1nwZsZ +tci1STUzVdc9QL1Ad7gbeWX0W09F/3rwV4BfNV8AT2Dvb+50aYlr9iHwgdG1 +cjL6g8BTBfteMZUGn68cSLsGLABfnnMtUE07Bfpg3rErm3+BbwcGBPtwB/h4 +9jwl65qg2qAeqF5YjL9/Ad+Vt6+VQ7vB9+edS8qJavBnomN/g3KZ+w6Ovpty +4jrtz3kq097jPehR0bPVScCN2H87+m2k85bup3oC3Vn9GfkIoKLIPW5adK1d +lXWtUM09VjNaHb9xFXvNA57OumardrdVzcv4zfR2VYl7p2qyanNp9OyhmqDa +oFq0OuvappqkXFqb9eyinGoU/daKoQU59yz1Lu2Z5f6Lo2NDNUq1alK0LzXz +PZp4Flqv2pjyTPS1ejt2DgXzhH8BrzJl3v3Rs9wB7JWzfmr07KiZbRh0w+hZ +QjmgXKiKnn0UEwsS1+o1WdcC1WzloHJRPXdv9Myq2fUIbG5J3LPVuxXzfaJn +Cs0Wmgk1G87Ne/ZUT5iX9wynWU4+bof+d9G1XzOBZoNRiWO7I/ZflTzn3qeZ +WrP1UnR/Am7G/k3Az1nHkmJKvA3Rs59mYM3CK6J7wWvQr+v+unNwzWgEviJr +m7IlH76D/ui0Y+Rd8H7RuaSaptq2MjrWlBMPcbaJ0b1SM6Bmwe8S57722Ah+ +QvRsqhmwZfSskMl5VtfM8GZ0bdGes8Bfjr67Yngk67slfkvl/H3RPUK9QjPR +Tvkmujerh6mXdS/430A1/7zE/zLba2dX/dPIB/JFF/BPWDszMa4cUi7dFt17 +NVOXIbshce5pBn0CWXnBvUQznWa7/wCmOcCd + "]]}]}, + {RGBColor[0.4261152375, 0.45590017000000005`, 0.470918195], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFWGlwldUZ/pLcm+/77ndvkLqgttVqhZa1lUVA2TPgVKeyxQIJGkggQFCg +fwJJABnHodYmQCAsAoGCoGyyI1BG+0eLrdNpOxYJguAyRQSrdsMqUPo88zwZ +f5z7nnO+s7zr877n3lUxe8ys/CAIsvgpAN0H2g9tFvpbwiC4ismXMe6dLzob +8/dmguBd9D/IBkG7wiAYlg6C7RgvT4LgnVQQNIG+ktKaPWh9TZ/A3g/wbTDO +fB/06zztm4n5nqA70Z5EfxPuHYEzd+Srsc/v93rMczZjzUNp7XkB/UfQ34X+ +0igIyjA+hbP3Ynw4pfuPZsXTPNx7KRHPF0Hvzkjm0ej3wL7uaPdh3BFynQM9 +gXOqcOZ6tN9iPBDfB6DNy9e4AvPFoGvRvod2Deu/jzP3oz8GZ9bgznd4BloD +2km0U4HkJg+U6YtEMn4OWu011VjTmBLP1N0U3FmJthx83ZWRbKOwPsxJxuVx +EPTKlw5oO+qF+uHcXHx/MSVe5ieSl3LTznut8/75mufeg6Al2PsA6G/QxqM/ +GPQZ0EK0qeAvzGq+ELQ32lj0ryfSw+UC6WIs+L1iWc6j3wzeazHfgLWT0F7P +13f6AX1gIva/QV2C9gWvZTinFK2bz+Ea0qs+cxV0P9X6fw1tIs4cBvp1In/4 +CrQT7lyHs1qxvn1W996QFY/32Wb8vt5rinHXnfTJPPHH9cNBH8V8CVoK42uJ +9v46kU0nFEgnt+DcKfh+c1Z2IA+Mm4KM/KUr5v+QrzUPgWaz4jkBrUjEx2TQ +5lB8Ud7/JLLjv62bSsg7gmcn8o/2sP80zLVE+l6IuUvY/z76w+ET1zFfF0m+ +TzB/FvP/w/hapH3lOc0/DvpzrD+EuXq0OejfhnYQ/YHgrxk8jMOaypzOr8hJ +F5Sfsl/AuBprf5yRnVfY1lcxdyVSDOUXBcFC0ALQETj7APqL0CKcE6Ltxvpz +GI+MNV6Ie6rQTmN+A+ZnoLXirvWY+xDtEOZT4G0c1qZBh2Lf7yPpdiD6xyP5 +A/2S/hlgzWDMvxnJpn9EvxT9j8D7FawZiTVXQd+OxB95+xTjYsz/HfQy2sPo +fwn6M+x5C0du4Bnofwx+JoD+A98exJp/JtLl25Zxu/GLNl2KtUtCxUc3rBuN ++U9j4Skx8wjoaIwL0BZHwiHagVjUB3P/Qv+naJ3JD75dwtzpSDIPM073MVbv +MnYzrveE2teIcz4H/Qztz6Ewtadxda39gueeiaQv6uot+q3n19ie9MNB+H45 +Eg7yrOmR1r4XyR60xRDQLyP5bmPqm5xATKo1LhGvehmLOiY6+2Ism9OvGJPP +gr6CdowxDvpVW/yHWsc1xAZixPQ85YHSULF8Cjqdh3seSJQjjtCfMD8Md/w3 +kmzd0O+K1h3xfBLjXrGwe5/v3YCzvl2kdQ2w9S8i6XQoWl2sXHg8J589HMlv +ec9h37U50VwxeDmRUW79K+irmH8a84MT+SOxrwXf3sRZw9F/CWtaQvk9fb4s +LVymrclbRUo6Ycx3SMlfthRoL7GVOY25jTrZHWkv8byb8x3nGW+MQ+Yp8kc+ +e2aEc92NR+SxR/gNbnJ/GyZ38zmMxYM+n5ixEm0U+i9FmmdOGetYZ3+/5SXO +z3Yeoq/eAV3cj/5ToN9NNL8AdEpKeZeYX54W7tM/1+GclfaH7o4pxlYT+FpG +fAt1bj/72NYC2YtxWR8qNun/30m0pj7RuKfXc29vxxTHfb2e/V7mebXjgvyN +x/4V4HUcaGVaOY/5hD44B21annIT6wyO0/g+F+0OrDlq/6Sf0u48Z0i+4qTW +e2lj7mXOIu3kfkUovY9y3uce2pRzK9LCLGIwc3lbfi1z/mJ+Yp5KZeT3Nb6r +S1a85WE+k5YMnOe+Z1wPMHd1sixnnYfIz/lY/sKcSX+k3umTtFVzSnZ8Lyu5 +8nH+dXxvSitP0r6/so1LE62fkMj/n3MMzHU9ybqSd1MXxMlPYvkP/ehCLP+h +HzHmFqeFj7dlVK/UJPLbZ+27H8fyAfoC8Zjns65jXqS+mO8ZB4wH+nwn4xVx +a73lp+yMx3Pun0mJf8bpxVBxyu+Ub6JlZM5kfccasNDfubfW3zhPHHrWWLQw +UZ3JevMY49pYQ92Mt35aU/If4gZz5lRjyCLsPQB6T0bxsd++TR2UWA/rjev0 +Z9af5IH5d7rxkjjP/M86gPUYfThlf2CdmHZ/i7Flt+Vo9jktzgmsW1hTXzVu +0xfoZ/Qx1l1px8XKULUR4/WxRPdvAP0bxn9hI95iHGP9YdBNieq8P2XkU1Ps +V+QlNtbVuGa9PaPanrqmnheEsj3tvjHR2T1An3d+JM+vsf7G+fVZxTjjm/mO +NRnz3MhENc5+1wDVacUJ/ZR+Tl4Yp+TlnPm5EMr29KEuzu+dnR/m2d/WGAfX +wE/zcoqpneB/ltcxn7C+2OJYC3Lqb8Oa82gVmGqKpTvqsGsi3JgcCiPo72st +O+sbYsZzsepyyv2DRDnnjP2ZGE95KAtxlrE1J1AdwnjjmG8a+jbfPqwTeC8x +uiyRf61OFFelxqL8rPwwz3mbuqPeyDf5rwU9kdJ7k2PGNPu8i43fyANryFb7 +P/2A/tArK33PNTaWOz9wfRCrDmasN6Eti/SWZC2x1Hn8qOdp+72gG0PF46Sc +YntyTnFW5Vh72G9T5gnWmG3vafJ7wjwzBy6IhKm3xqq/WfPV4IwXI9UxU53j +iJl5RVofFAlXVrouqg1VMw51jbwtEi8NfhezFtqK/o5Ia+vtm9Q7a96nI9Ue +B1wDs0//Yp6kL5EPnkM9ECN2Rsr1D/otznxZ7Lc7c+qqWL5ydyI9sYZhLiNt +cZ9+TH++xzmzxXqrTfS25Rv3RqyZhrYL993oeLsJtCirPNEOdFCoGGaccN2H +vu+zWD7EGpBvi05+X9Au/O9gl3ne5Fq4LpRuqMPttsFU41O1356090bzT9n5 +fwTl32dsHmJb8z8U2rvGtSj11j+R792fqN7s6JpzkbGCtqB9FttGS/32JAYu +c11An+T/AcNCxRRxepV9o8RvC/JJrHredTvrNM7TjnXeS38gLXafftLo81lP +czzT/t/g+RmuuYnhm7yea1n7rG57F+D7YOMpc8Va88Dctc512gDbq9o8DLUs +zA9877W6Tlhn357nPEEMZN5Y47va5XTXbOhzQKL8wZqC9hrg84ltxDhiFGuh +CmMdManS99LGNbYRZVpieSf4fVcGOjMjmTsg7ibmhNeP+S1cYp1vtd1KbbdH +bTvmPuZR3sk8XeW7mN+4hmdU2ddm2L5TrOdskfhJiuQDm40/xK5JoWod1hT0 +I9YcrHvLPc88X258u7VIe5/ISOeVPr+PsZs1AHMd8ynxmTl7S6RafZ1rD9qi +A3x2Viz8mwF6E9rLkew5yHaPMTcx1n7GCr8zHqsw961Y2NEF9ItI980PlePb +6nFSvi/IZ53942asnxnrHfOTjGqLR2DrjzDuHMvOT4LegrYHc2fRfhjL7j/K +6H+o8TnxlTFvOzLCOObSxzGXi4W5lHWP43l7RjmUubR9LBnI/zbPv5pR/XXM +diHmEQuIA3wjNvp/v1rLwpgqcWwzJvkmpvx8U/Dd2RqpBt8d6v8b5kbmMeYz +vs1+Gekbz33XdfPpjM6o9zmzcc6dserhUmMa7z1kzK+3Dy403q60Da75Xt7J ++i7OqubOEG+LlBfb2Q+PGo+WWBb6Oe1TbRud9P+ejAuevcDns7ZaYLmZ+/Y7 +7zD/9HM/izOSWPFUCDo2ltyv57Tm9iLpfonvnWSfP2Dfabb/9MH6N9A/HitG +2GecHPM7i/ZibUE9seZ8KpauX0jE43zzydp7n/2f9XJ/18w3YH1lrFzBtzLf +wnwf879VvhP5RuQbnu+f34GXg4nq40OJ5D5geYkLJ51jDruep6353y7zYB3W +p9AfE+u/hxGRainGKe9rtm5Zzzc59hkze4xvRdg3KdZb/IhtR9kbbW/aid/L +vYYyLvM59NElzh3EiWXGigr+7xGrzih2TiGeNNruvLfc/HAfcbXB+eKI44Wy +Njv2yT+xgLJRrv8DE2Ei1g== + "]], PolygonBox[CompressedData[" +1:eJwtl3eMVUUUxu/ue2/fnXfv26UjmgAqiqKg6CIoigiWiJFqKAsILGtDhf+k +LGCJwW5EEBQrVQG7WCCKiaKgRCPGjgpxVXqzIE3w9/m9P77MmTlnzpmZe9o9 +sXbCwPHlURR9DrJgcxpFsyui6Pd8FJ1ViKIhRea5KFoPbzB0D/B0Joq6xVG0 +BrplZRTNh26DktXILweL4V+GsnXwjzL/viyKHkYmRXYj82PwH0Pn6dD12Msz +XwD/OPi/MP8ZXVuwX8P+hUkUfYeujawtgP4HuSEhih5nHAv+BTXMn2a8ARwA +Q5nPY6wD7dnzEXsvB6dCnwHWQ18FOkB/ib2O2P8Ie12wd5A9Ofbfy3gdWBvM +a8kZ9nDe/awNZm0OYy3oy/5F3OVl9LWFv4a1xvCXM65gbZ/kmL/A+At6umNz +EroK7FkJ/QbIQVeAFdDtQB383uw9GboT2AA9AHSEboKu68DF5bZRjs3JyC8B +t8Kv4g1nxn5zvX2CbB1YxtpikFT6WzwECtD92PMQe7ui7wTotbxBVYW/4TL2 +N2PvjeApzv4Se3YEv90T0E3YX2Q+EtTAX6I7gmuD6dtY+5XxpuC9zzI/zDhM ++hivB8djYx76LsbeROwX4A0H3VlbBP9DEIJpvfH24G85V++M/SrmY/Qmeb/x +Seio5T49kTkx8RvrrfVGF0JvTmzrB/idsT2NvQvZexUy++G1Queq2D65mvkt +8FuCV1l7Ju+7psFvqTvLdiOwNPYZpuusjP3Qd5j9EfqmweuK/QzzDPz+4BJk +ZrA+hvfeDr2Z8/yKL+1i7TL4U3Rf1ncz9tY3YPyCeYxML2RHoD+FHhv85npr +neEY+oZnbLMM28cYL0VmWMY6R8LfmneMKdaS1LoeAF2h2yK7Sfdnfn2Zv31T +8GJsH7iAO0zkLpvgjy/YtwYE30U+Jh+SL72NzGTo28EFzEeztxG2bwiOCcWC +dCoHKBcox1yE/e5gZs454gd4e5HpqG/OuIE9p0E36N2g+6M3J/+X/zCvQv9U ++Augr0DHPmwXeYNHYsdEZaVjVH40CH41tuqRn498b+Y75RvgLvjngd/hTWL+ +VtYx0hd6QmJbPUAl9sYH+7h8Wz7yB+gQfNbfwCHoiqzffATy76T2PelcCV0B +hmL7fnAe9J3I/5i1D8+BPoi9vjn7qHw1kzr2tSefOhcdKuUq5aSTtF8+pHwM +trG/M2Mv5HdAb09MK8anBOfKo6XcqZx5NHHsXYNMOfpPhv8T631YW6OYYr4x +tg+uAmWpZe8FXVLnSOVK+fToonP1kVKsK2dPZl5LWHyDzKPYehsE9sbgLei5 +4P1y58DHoc9G3zjlELAFfbtZO0f5HPm9iWMpC+6JHVNtoD/QffDdr8F3sX1a +vvxNmWMhAvWxY0I6pfsZ0Alb53KH/RnnpFbMhxddixQvDalzUyV4PvY7DS26 +Vk4u+eKfnOlc6D6c72/oPYnPKh+Tr7UDP8f23U9BtfwD3KecXOazfxv7rLrD +X4l1yaenlnJ/c/BybD84AL+63D5yCHoMeJK3G8e8NeftBh6EHguaQh9W7s1a +phbZFsE5TrntFXROSRy7r+pbF1wLbw3mqSb+kTi29A30LRpK9Xob+0fxFu+x +ZxHv15q1d6GvLZonm7KtN9Zbq8dQr/Fc4ljTm89P7APyBdXUK5H9Un0B+1Yw +bkKuFn078o4pxVYWmUnljtnx7N2VOJY7l3w/Q8xPj50TlRtvKbjXUE5QblDO +Ve6VzrHwzym411ANUC2oR0c35q+BqdBfwT+ScY5Xrp/G2vnwXgfToT8uuvfR +GyxFNkqda+Qrii3VLNUu+fhw5jMTx8IMZNoUXFNVW9WzjIC3M7j2q2cZybxZ +6m+peGySuoarlqsHu7ngGqNaU8P8M/ZWITMq53xQhG7F2oTg2NCb5lgbkrMv +KbccSVy7qku+pZyt3P0G8ztUSxUDOce/atE/iWunfF6+/2biXuZucFzBPiBf +mMi8A/JlBdPqedT7DOQsX3GOV/KO4UHBNVC1TzGhO+qudci3SF0L9pRqoWqC +7qS7jYbfOLWuLshcXdKp2tkruBdUDW2UWlYx8X9scL8zg3tA9YKqaaptyknv +cL5Tg3sQ1Yx8KaYUW+rhdgf3XOq9VBPPhx4V3AOq91OOGBecM5UrFbPNU99F +NU61TjVXtVffqBK6f+LYk89tCe6p1VsrB27lrGtLOV65Xd9gGPKzs64Zqh2f +xM4xyi19Sj2keknJ1EAPAbOy7qlvD+6R1CtpbSj0KcExp1jTmzQU7Uvq+dX7 +65vq2yqmyvG9P2PnMOUuvfmAxLGimNga3Ov1CO6V1fOti11TVEv03eTz8n3F +1NfQp8NrD2blXONVU1Rb5KPZ1DVXtVcxnym4Zqp2yidD6n+BnsH/BvonGJg4 +NtWDbGP9Pwjrn2k= + "]]}]}, + {RGBColor[0.4799129124999999, 0.50704019, 0.5170638649999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNl1lsVVUUhk/tuZfec+69qNE4hck5GguKPpgoDg8O0WhbcQKqUYMpBalv +oiAtRgQr0BYtgzFRQUXeUBKlZXB4EIs+KD4obTUkDlRRUBNnRP/P9TfxYWev +s/faa6+9hn+tM+netqb5xyRJcn9NktRqbigkyYE0SWZo9Gi8oc3LNVaL3qZ5 +mkZdJUne0vczpViDhufsXHJEn6P5WPHsFN2eh5xdlvWNziwSfYXW/ywGz2Ld +OyC6U+My8XRrfieNu7j3bd/9eB7rJcneo3mzxgKdna/1V0WnWZJsSoNepff8 +o/G66KOaW/S4+ZrnaSwtxPrDOrtYZ7eLflTzY3m8hfextoN18fxRNI/o2izu +rYpnkuhtoh/RufM05og+X/MFGnNF12v+VHw31SXJT5rrpUO37u+qCT2h0X+u +1udo9Fjno9Zzk840a/1J3bNEOuwdkyS94r+qEvThUtjsV42FWv+rGDIHRZ+O +nXS2TuNS0a2+g3OT6kLOadJvpvZu1vy8ZD0georoHeLrIxhk8zv0fY/WJ2k+ +Uow7Dqbhp07f+57oByV3YxJ6dmislh43iO+Q5Gz33S1+41Ax+K/VufXyxViN +78Xbp9GvsUhyFuXxvVDz/nKS7BNvvewwO41zW8TzaBq2Q2a79H9Ca7eL/0fR +n0j+1bLTi3nE8wv4Nje/5EzX3pfiuVVzk+ZGjRHxDWp/SPObuuOT2rgXH/VK +53Ea32rvPo1Z2tug9c+yePeI5vd17w9a3y16rXi+Iu61t0bz/jR03qO9Gsn8 +SLwtWrvxmOC5tBx2PFf7RzUu0N7Yaty/x3E+1nFfyMJX32js1f4ByVolukHv +G9DeYenwsdZe1ptmy7a7xfOQ9raK59Qs8oc86i2Fbx+Q/Z5JIie2Ol9uzSP3 +btN8i3N4uubfi+EXfDSi812iG7X+rehu0U2OE/xJnLeypvs/FP8Paazjp7aa +iCNiFRt8aDtsks7r0vgeqgk+eMCjA85Z5O21TOJ9lXnAku+MJ9xz0HdNLYTf +eBe+hn5E63/L5p9L11dlj11Z+PukauQr8UMME7v9GsuTWFvi2CbGocmjpzSv +KIZfyZ2d5h/9Tpwr8EGvlJwVGg1jIs+YWSf+Gr2Gzr2OtxU++6TYeioRm2dl +4Qf8MSuN/U7zDGreZ93aTROvw8V4L/GKz9nD7+xzBqwZVxc0Z8lZcGOZ6KVj +ImeHzDdsmQzWNphn2PKReYnx6vhCYBC51+F17uat+ANfzDf2gXt95ci1beXI +p+22J7Zocp5iox3/W4cfOWAe/sNHE4tRS6Y53/DHdZVYu3JM5AAxz73E1ahf +sQ378PXpzKE0vqGfsp/xF+/osK12Wp8ar/N+3rg4DSzGjiuNM+iJz8Fe5Fxf +CR9/UQ6MnGObUy/HFyPXFhSirlE3qEXUpOY0sP834/BMfyc+97vPkhfU2rs0 +TyjGWWrZ57WBEeAD+TXoXOpxvcQX1Ipxrhf99kWPbYtMco08oy6Qg82+g34A +e000zzWViM3HSsELRnTZ3u22OTl7xPUFXSfad+T4X+bH1yPOZeJ+vHsG+oMJ +fle/dZxn/BiuCfngCXGGbQ9UAlunGGsn10Z9Zn/Q8dDgPMWuzCvtu0bTDY73 +pc6LNt8D5pArS10TycsB5ya5O2Cd+4wt84yFbT77cxo4CAa2We9lzpEhY90/ +fgt6UuOHzYPsPb5r2O9fZp1H8WaV3zhomS2Ot37XfXKqVzp8kUZeU0uoKScK +2ydnYTdqMrW41zy78qjjpwg/j69GzTuocxvywP2Nrj8XF8J3zFNNY3uwlxpH +vVjrujkzD/nHSd7dedSFuzQ358HzfSlkr3f/sNn5gRxqJLXyDvl5Vh76oFe3 +ey9s8FzJts6jFq9xjX6lEjhJfTiZGiz5C8tR4/Hny5XoZ+kVyNFTsugpp5YD +48A6cvhdyT1B66/5Hvw5WuvWuS6OVOLt1B/6XPpPYrkzi7zbUIlek7e15ZFX +3Ele19sXxDL4BE6BaXOzsGlWjVggJog73jGlNvIIm2Lb79z3UU+b3N9zP3mE +b8g14pOea7f7Lnpe+g0w56Y8cmJBHjWJe57OA/N4e8k2wlbEPHmCLGKmWg19 +Kpo78sAp/hsuzCI29ufRd9KjnJ5HfwRmcf6MPPqwM/PQ60brRv/Y5f6E/p2e +hLd0V8IWv5Tjna2Osa/T6NXpJZhbTVcL8Z9CnNCTcfe+LHzX5F6F3pYeFKwB +18i5rkr8B7RYPj3gHNPgOzh/rXga06hty93/tDj2tpSiXr6dRxwtdu14thx3 +XZmHDXgzdiBOh12TyT98jH/B5onG/G7jKXZo9T/BMv/XTHAd4a0z/F7qDO+H +3ppFbfsgix72fus5xXjJXcie5pgBV2a4T4MHbK13LBKTueaH/d/B/wf15JDx +Gl22+X8THL3H/duaUvQpS0qB98QTsUR9G+/+Z9B4OGjc443Uc3ALWy83Tpa8 +Tt9C/CD35HL0ySeVw6azjWnEUbNjqd39DvzYYLbtgN34Z+bNYB8+uCgLndCR +HBntV8gj8KfeWPd+Fm8f0LumZ6HbO3nceblzHFwba59226fU1XV54PPaPP4P +8f9GxdVLlejfjugtM5wj5Mo+x8h/b8jjH6ejFHXqPcfSEtv5zjxyEv/NyyJn +yJ3VlYg7bEXMEndDtgv/UsQlsn7zP+loP9LpngQMeNO+I6YOO/6xx+RR/K8N +7MBX//3fF4zXadgUe5arEVf8J5FD/Gdudw1c7Rr8Lx1CWaY= + "]], PolygonBox[CompressedData[" +1:eJwllUlsllUUhq/8t8L/3f9vo4FQjQVaQaIMreKGhRMkDNEgljIJxQiBIEW6 +U0AQUCEKBChQqA0RLUNhxbRgksmFQlmQwAJagoHIJAqoG1lI4vPmXbzJe+65 +37ln/ipnNtYu6BZCaAQRvJFCWAIpLQnhBHxiMYTfuofwM5eGF0L4hLOD6Fei +fyYLoRfywxx3wSHk08hPo2tAPgUfCOZw/zpohQ8As6PPXoCv4ZvKHiFc5I23 +eKuWsw3ofgTPo5vCWQe8k/erkbvwYcWTIVzi/l/5EIYV7MsifL+Avinz20v1 +Hrrx2FsHPwIq0Q1C/gh+E3wH34P9a9ir55t2+FDOGtDdAtvhL4K50d+8BB8M +5kXfGQJ/im/W4sti3h+H/B5Yj+4YqOK90dJj/xv0o+CN6PdGx1SG/DcYR/x5 +3q/j/vnMuXyCeDvgz3F/enQMd4h3N/I76GYTcznx9UGeEZ2z39EvTo71M97b +iHyEOxW83wxuwBcm+6qzo8h/cGdLdIyKVd/o23/Rd8e3e8jN0TVT7WRDtobx +/sv49yf6rdE5UW5mgBZ4Ozn5WraQj0bHoFh0Jt0/yNvgERt74AuxNwjbY4qO +XTkbC6/mm9putvkBvKyUvMNryFEpfBd3dgTXcHfROVfu9eYS7j+LfCi6Z9W7 +K8BJeBOYAN9RdO27+H6nbHF2H90qbC6T//jUiW9l4CS6R9irQv852Ie+P2ez +4G3cb0E+Bx5g723Oeib3sHr5uL5BXprM60EFfBk4EV1D1fJ6cm5fBTfgiRir +c465AB+JP9+W2Mc29G34XNHDM6RZak/OrXpEvfJfwbHpzmr0q/BvF/m/hs1W ++Pqie7ODOxvgkW+GR8/wfvTzM+daOSjn/Sr0H6LfzDdb0E9OzpXOpiTPuGZd +PTUdXq6ZiN4R57B1gG96ljiHymVdci1ew9++8Fcy51oxKtbeBfe6fJbvm0BX +zjVULWvAx9E9ol55DMaXeIfdzjuHyqV64NPknabdpp5bAD+TPHvy6Sf4u2Ba +9ExrtjcWnZvD2G+C9yYHl3KuSQO+jih6F2mGL8NrMu8q3blbdE+rtzXzucwz +pdnSG4t46xfO7uecI+VqkmYQ/jo2+iVD/AxnX8E3E9Mp+GnwZXKPqddk4yy6 +NeB2dE62592T6s1fkVu4uyk5lquqoXZ33rtXO1W7dWpybdXT7yfvSO1KzXg9 +fGuyLe2Eack9rF7Wzrub9w7WLr6D/AO6/sj3ont8eXKNVWvF8AW8Oe/YHoCd +yTEpNuVgInx53r6q5qp9Z+Z/kWb+Cvz75LdUc9VeM6nZVA+rl99M/hdoJs9m +7nn1vv5pddTif1K27aU= + "]]}]}, + {RGBColor[0.539107115, 0.56238831, 0.5664840724999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFV0lslVUY/fv6hv5T7aMYwaEtkLjAOGyEapSgwRYVExVwWrROYQMi9OmC +6kKkEKEMYgcUjDRKJ8Aw7QhEdCODboQIZdTEuGgxtjtIpHhOzyEs/nz3/f93 +v/vdc8893/emvf3+y8szQRDMLAuCctiGNAjOFYKgEXY27Cw8Xfg2NQ6Co3Ds +gl1aEQTL8HTjfSvencHE6bDH8AzmgmA+7FnMb4N9OtW73XjG8fsDxPsQzxqM +F0VB0II4Y6nm9yHOtkC23+Os35dn5DPXY8ZgrAvwWYyc2mHXwB6DXYjvP8BW +5eRHn8vItYRxC+xIPgiu4tmDWFfwnMlozh7nuQv+TySKdS/sVvj24v0mPDOR +82n4rsVaGzF+B/PnxNp7M8Yry/Sb7w/HirfXe6/PBkGTfYpZ+XNedWUQ/IF3 +o4hXXxDub2Q0d9D5lPD99Yz2cj7R+N9Q6+yxT22ieS1Y9wZiDHjdAfjMyAjP +QWNLXEvG8FKZbMlYFbHfIeS3G37DGD8F3698LjwD4v8azq2uoLjzjOsKPA8Y +n0uw/+Bcl8NvBPYbxLmC793ey2WPT2MPb8Hnb/h8FurcmmLlQ44wtzU+3058 +X4fnAMZ3Ya+r8X4Dxh14dwjrLUDOd8ba34D58yjev4f4w6nWZQ4rzQHujfu6 +PxK3yfGxUBgSS3JiWVY5NcPeyAuTnfD5Fe/aYVPMXQu/q4i/M6998l6syygO +7w7X4Vzu4UXE7ce5PId5+zC/A9+vYVydE195Z84lwvVSKOyHPZd2xDlc9Zj5 +NwKr2oI4tNCYEJu+nHhLDjxT0Dl1luk9czgY6Fuv7yz50mf/j5lPXjz5NNb+ +a2HvAJbrc7qH25HndYy3RrpLRedG/PvMsQPwqcb77+EzindNmL8D7yfl9f7L +QFwretzAe1Gh89vsO8fz/gi2NSefP1Px7zrsm1lh1G7eTnKctljf6mAvlOt8 +6UfOci6x4v5WV+hO/JVq3d9C6VllhfbINYkF90KOZzLiOTVhs3GrymqNIxiv +sm+5x63+XajUWnnYg4nw2gtMrqU664tYtxO5nkesjli5HvW94zpbvNZoVpjw +7M6at+QvMeR6XJdrrsrdxnPAZ3IiVby2UHwcN68aCtJ08nYM/tPzWod8XmcO +8x5OMwYnIo2nME+eAWK3410fxrWI05tKx6hN1CVqHn14/0qxYlZG0kD6Uwdr +CtIW3tlN5i33SLx3GPNe83OCt9ZOYtKP9erImVQaW1OhNXkveDfJeebHHL5N +db5zrWW7Uvl/57rHb6xpxyPpz9xYWCzJqR7UmVevwBZz4j/9yOuhgnKlNrdZ +q5kDNZB5PJSIS4VI66/P3a5lVY6zIVLu/yXCgWdB/jNuq3Hg+tOsy+Qcxxvh +szXV/fwi1V3lnV0Ee3cizB6npiWqRy9EwoWasMK1kZrMnMmDCR0LxDtiTZz3 +J7pfhxLlS82ifrGGV1u7+PAb42RS6dRJ2OOhODQ51vei97vfGpiNtVfumXhT +e1mXqbPUdWoHubAoFR7bQ2FCzInLiGvNZNyv+xKd11TYZ1P5zIf92vXlVp3h +OjzTorW3w/WBe++yPgxax8ivetds+pRcv3iXeKd+j4QTOU1eLohUl7sT9Riv +ZrUf9g2sj6yTo6G4wnpOblNTiPMSY8AzYy47nc9m+xCjXbHOvIt7MRePxap1 +S803asoM15NlxpR48t7y/v6MHB5LFHdxKvx5/4nvxUjYsA/6xefI8+T3UddE +9obcK+spuUztIp9ZA6hHrEN9seb0w54zRkO+i9x7ybqSsbY0WScYc6rP8Z5E ++tDpHqMnFKZzEmHJ8ULXlKL7OnK5xWf0cKz9PwL7LvfCvjbS3aFu8x6NeB5z +J34N1g72uT2u6T0+C44Pu8d7MnZv6bvD7z3WTVquxTHvHHuycffIxI3aeNJ1 +8VQkThN79jjN7r9u9Te0n4TC9byxpcbzN3W+23Vum/sp6j65y9g7jO/zkWr8 +S8Dt81Q1bovrD+sitXfcvQrXZx9KHWeede4x6FPjMc/jtHtncoX9zmz/Xxh0 +H0E+Mw/mwxrEHpe192SonoQ4E8+beekYtY3zyS1yYEoi/pBH1A5qyIlQvjet +e8RylvOc5f55oh8uKG+ux7NscM573a+cSqU7vPf7nE+3OUNdnPgdCO8hc7vB +7xmn2bwiv1r9/2SFNaTLHGaeR9x7sM/jWgdCaVWjc/spln7+GIuz87wu868x +5oxdY60m7+r9H6GqUv0Me6J8pD7pwURnOOx+rOQen7EZs/FW/uXSNOb5P32i +2m0= + "]], PolygonBox[CompressedData[" +1:eJwllFtMz2EYx18/9e/////+v5QYc25mM8NcYNgQFzllqBxyUTnMjWTLhQ0X +VGzSJB0cZtMcKmJK11bc6MCGjEK4kNMydWFjc/p891w82/c5vN/neZ/ned/U +nfszCz3nXA4Sh4xJdK4w7Nz7Ec6lgJ9EnMtFHxrpXFcUiZhvG7Yk/F8C5/aC +9yEL8G9GPx3vXAtc2eAa4svB/0LORdBbY86NBjfBdxf8EdsOzt5AHwhMhI9h +S4D/HOdfoydR3Cf45/nOFYAfw3lZtaG3ObPlgR8Sk8qF+qmxA38Yvr/ky8Nf +jH81el+C3Ul3K0aew9+LLR3fWWQUvjRsP6jvDpLE+SPcaS74LXLIM441xF5B +8onNRcrIfRtJCdkdm4ldjr8RXx6cH8Dl5NtKLe+w1YErif8FdzLSRn0HifkD +9y30LM73EzPdMw5xDSNFcJViewl+it/z7M6dcH0NbBbH0QP07qjNLoOcrcoV +2OzE+RP8LGK1peNPJn8aUuJZTRfJP58zBWGbsWbdh/4Xvgr8M8HfOZ/jWQ9W +4J/ImT347jKTCeCVgdWqmCFijyJl+F6Rr5pcg4HVqp37Bu5CBundBWI6wTPI +cTLeZlKJ/iJqvnu6P3i25oH/MBJCb4G/SruL/gD+SfjbndU0GbwFWz65T2Hb +DN6ErTHeeq7eVyCJYdsJ7cZ937jU82z4E6K2C8qp3OujNqubSCZ6Z8R2Tz3s +wDfWt95rRppVKNF2Wzul3dKOadeU8wy5l8Ssdw3wbQSPi9lbGoZjPDjbt11W +D7PAa6MWW49swF/lW2/VM/Wu3bfdUk+ayd9IjmnkyiPnn5jNULPUm10csx3Q +LuhN9hDfHdhb1Uwega8jU/ElE/NZuX2rTW/wEvFL0XcRv537DkcsRrHamV7N +ElkUZzU0wDUnZrM7z/kS4qsjNhu9Wb3dAfx1IdtB7eKqwN6q3qDe4kJsgwkW +o9hE9BOe2XYTW4utKd5qKsdX5FttijkArvFtl/TH1Pr2R+mv0o6Uovdzpsez +HXoTtRlr1uLMQL9K/JSw3Ul3Wxazt60zs9B/x+xvUMy1wHqu3quH9YHNTLPT +Dq6LWg/UC/0hLfj+A31VxfA= + "]]}]}, + {RGBColor[0.609232745, 0.62626053, 0.6225373175], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFVltvVFUUPp32nOmcOaeiYmJKfVAbaAwaSdB4pTyYaNQKFDQYXoSopTWR +qFzbCCRGioYY0sQWDIkWyi3pDJ2WP9ACSQFbEhV96XUQUAMajA/64OX7+n2G +h5m9ztprr+u31t73b9jU/G4mCIJcRRBUYv0bfyNVQfAcmHVREFzKBsEV7GXx +XcRehLUd/HHwQ9CNqejJXBC0pJK9FUv2FH7HoHMJ1jHIbMVeB85cxnc91j15 +0FgXQ344I9u0exV63qgOgmtYn4cvBdvl+e2wfRQ6e0xvrpCuom1trZYt2nwa +58+D/g6+LQN/tXW1Y30nDIL3sN6XBMFG0HVYB/Drx34hVow7Itn8KCefH8Z+ +N3yexLnPsU6ANw36DOyPZaSnKSN/+u3zwbxkPraOfsdO3bTBHNLfdtu6B2up +Uvnebh8YY22kc4yxuUo+fAH6bcT4G84/CZ9fqFK8Azh/DnSA3xqceQh73fBt +WaLYGfc26LwD/E7st0LHVezNgn4cvOuxdPfA56Owuxf8A5Dfkhc9D/uXsXcB +tp7B2eOR9LAmzdBDIDVBpozv9ZWy1RspHsr8C9kN4G8B/TrkT8O3VZBfnYi/ +LZWO9Zb5IRY2vo9la0EknFHvbIXwQPxcg57jgeJmPRj7DM+Z/jMVPv7CujwV +tqcQRwP0LYqUlxms0/itg/zSvNbNeeGl4Nx9kqjmi+BPG3S0ZhUfz01FylU1 +9nbhzKOWpW/Edi2+W0AvSMS7bp9XJMrLizh3IlKcjLGE/VHwhyAzP1I/EENj +jAGxjGOdiBXzpPuOOCH22H8D7osdzj8xNsV+A+9GLB+YO/qW4rsaen5JVZN/ +EFcFzvdFqiXzfLZK+RwHPZJRD/Ds4kS9nYWOhVnZI7Y/DIVl+nM+VR9eSMWn +Xca+M9Q3adahnFFd76qSftrpzGm/M9HMYF1ZU+aPMTDHw7ZHW8zNMfcCMbvO +GOYMIJYoW2s8sr94bqd9fQQ2DjF/iWIhTRnikvhcBX4UK17GzflFn6ax7g9V +R9as5BlInT+n6q+lsfwmPlmDrlBzg9/stWPuN67sa9LsrcP29Qmc/xX8t1LJ +8MxB8G9m9U16gfFD+T7LMPayv0nTr6J9I377PFep+4j7mdg+bJ1cj5guVimW +iUA82iafvfNAtbDaE6pGzEu2RvOcc509TT/Y16VEM5HztS0V7n9KNFc4y5g/ +YrbXvpE34JwyvhP2c08iHHyayM9ex94B+XyoOcG+nfXM2OVaE0+0Rz0bU8Vy +2DpZP9aRfjJ/fY79j1B6OZ+YR/b73IxK5G8R9Xk51j5nIfVQhjkhrolv5o14 +nHYtPshrtryfF2/G8vR3q/uOM4oyPMu1wfOq7Jgo82C1zlI389zhOU+bDbbL +M/ym7sFQfc4eXwGfB0C/Bp93h7qHsu7vM54P7Ce+CThPCsYs77uSdZC+ldMd +86zv9jXGOd8UzX5XMJetxsxe1441JF7Wer6shD9D4K9NdGezb9mznAXNvvu+ +Rs0aEfNFvxNIU5azsMv+zeExVD5Zh1HX9Pfc7RnP/UHLlEwzHt6ZnHecdeSV +LEPeOd+tnJEDli9iPRUq3iXOYy7WPcEc1uYlW7R8wTTlX0109pVY/Vvn+c9c +nLUtYna3Z9SbqfqwxjP7SuY2NorGCe+Z/b4/5u6BrGr3Uixs885hjgr24Uvk +6l7r4q9snaOuMeu7MpHOpxLlc9pY/T+eJs/ust9rP/p9yHci7wTOU87Sr3LK +6z6s+2L1VXciPB/wfOA9x7pGnqXsf/b+nXndLd/g7GexcH8ylU2++2j3Jr43 +gX8j1RznDI9qhI9h30ecxZxjfPswh5Rn3I+Zz5k9mOjeHUr0rmVNLuY0++t9 +L7DP2G/seeK6zdjuNc7Zm5xD7e5H+tLhs9/mFAtj4uxp81uCuCgYJ/SJdSn7 +3RT4XUQe4527LzOKgfVqTDR/l/v+4uw95L4ZcS/X+h3FOXkpVb+fhvzdNcLB +fKxlv5H4VqqzPPFDfQv9/p8HuS7e6Tnt11qm3jYYY4sx2OQ4KE+//wPUPrnP + + "]], PolygonBox[CompressedData[" +1:eJwllElIlWEUhr+uXvX+9/9N1CDNiApaFA0umk3dFZVl2mC0CWmwgoQmwqBa +ZFpkhJBiBBWBFaQ5QdCuaaGmQqW2UNMMpdImWtQi63k5iwPnfO+ZvjPNLS4t +OBpyzu2BYqHLvnPjYeee83gJvgK65+ytEn7QM8WX0CL4Nt5mxDl3HjwT/kHg +3PwE/GH/M+Lce3R64Z9iNgS/GJ3eGOfO8BaHPIhOd7xzZfh4B3Ya+ynkNvzt +Rp4FHYTPQz8NvhGb5hiL2YNuXKJzN8H2EjMe/jE6GWD1+EgBD0EN6OeAv4K/ +Q7xh5Fp85qC7An8j2Dfyn33gn6GEWHtbDvYFeRS+FPtJ+M7AfK1H5yH4AP66 +iHWKt99g2/BZjP9/2GwCz47yV3R/Ee8KcrlqgjyATh18H/pN8O34WIv9dfQH +wQugNPj0qPVCNnXwW/DxCF+N0HZsa/Fxw5lNDfhr5HDIavoRfxOe1V42O3yL +qdjJ6H8Cq/EtN8fbZuTv0EywW/wnhXpOBPZ31SQAe0KMaNj+pL9lYV8dtpkY +AF+KfBb5HJSA/DZif9sAnoz+iajNRiV0En4K/eE4m5mr6I8h30X+is0q5AvY +FyoWeDu5rAG/FraZSPetBqpFE7TVs56oN6n4aAEbwr4n3mZCs6GZ1ey+gMqJ +vwD5Gfxf/t8PX0KM++iOTiNGYDkr9w589OKrCp15CZazcm9QzBib6WbkXVAL +ubRC+WBzkI/Al+HjB/Zjgc2qevQGeZlvtdKOVSBnBRZLM94PNoKcCV+NTRL9 +OEY+DbHmU74TPZtdvR0H2+jZ7KlG+eCrkb/hr558x5E7IuZLPVavi3zLVX/S +3zKQS8LWU/U24tluq6fqrWqm2tUgLwQ7RH4VIavZYeUeWK+0c9q9JM96rRwO +IOd5NmvakULfZlyzrh6oF9m++e5G7Ta5pibaLGoHtYudEeuNevoBuc+z3mlG +NCu6Ibol2kntZrxnt0Y3YglYrm+7r5t0MWo1UW0m0V+J7rqo9Uozrlnf6dts +6SbpNlXhsyjWbohuiW6Mbk0uOXZp/z27XZoBzcKfwG6Deqhetvo2m5qZJt9u +mm6baj4bvjswX7oJug37A9sF1Xi6ZzkqV+2IduU/korNZA== + "]]}]}, + {RGBColor[0.679358375, 0.69013275, 0.6785905624999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNlktsF1UUxm/772vmP6NGTQzukACxiVFZyEMTLY0LNlZNq9Z3sC1q+kig +tRVNXGmFBndCaTHqwkQ3WqHVBBYaNLgwgkotbtRgKNRHaUETExfG75fvNLqY +3Dvnnvudc77zmFm9feD+/tqU0lk9FT0PFyl9VJ/So1ovNaQ01pjSstbJmpR6 +JX9e68la748nn+2VTibZOZ3Na92t9S+BbdN+vZ4zwhqW3h1lSkeylK7T3c+r +KdXp/bLkp0vbwd5h3duh92W9P611T6PxkbOOxZ7zVXUpnRf+Tq03Ntg+63z4 +8kKN1+lkGWc/JNvEVi7Zx/JtrdYfM/vY0pTSG3of1fuc7Nyi8yzscPdUaZ33 +85SOKY6jeqrSa6nY13W19nNPcHKb9A/o7LRwjuvOgvafluavLzgciD0cD4mX +D2RvsGoMYgWzucFyfOjR/Sntr8ody93y54j0/syMdYNszdQ7T+BzbyruXpbO +hPbvCWOX7vZWnK+v9b5VOFO5uQEXTO6di9jhYD72xD0QPq+WvX7t/8gcJ/G+ +KZwNFXML/lxwRCz/SKdH+33SWWqw3RlhLmr/euicL2x3Y27ZhDBGauw7+Sa3 +b+lsXGezhWUrOacmqT3yy9pa8f7b0uuc/JysWn6oap5qK67tttz7dmGOK6az +2p+hPiSvkY2ftOaSzUddoYf+PZJv0flLevorjuticLhDso4698RY1PNynC9G +zV9bZxx8eTL4hNcPhdsqfr4pjbMUWO9UvZ/MzFMW+f2qNOfXlI6TeH8Vxi/C ++6zOOaC+X6w1nyck+wJMvT8evc8MQP69ZKeEeQVc6X1j6fvgUNvkcCJyQa1y +hrxLa6Vi+U25+XussJ2asNWU24ebC9c2vbkzbJ4Ine7AIS+sPYE5JN3BBsdJ +zndHLqg5au+T3PGvjf6+Mjc/3dF3cAzmcw3mAh7okebwYT7qCEz8ao658WBh +P+4T3p2FuXlbHM+W7sHDuWPnPvj00XLMGfq7P/odf+k78NsaXQfUAA/1QP3v +KZyzvTGH22IWtMWcpK7gb134/0rVvN3FrM1d29R4S9TxVq0H5eu7svlyzLaF +eudsMWqRHoQ/cr2/4tonH+SC2QhfTdpvLq1DXZBPahdOmW0D0au/hQ/DMfP+ +rvcZ3NA/zI2R0jl+QL71Vdw3cHKosP6k1o7C+L/nrhViznL7x1zAZ2p2Jrh9 +pPD6BDUs/1ZJPp05/5caPcOY10djdsEfOHBITTETyQ+ziXp7qLBfa+rs96bc +/cZ8Iofocxd/xiP2muAD3p4tbfeZ0nb2h85B+dYuveu1vlo4F6OF5x34F7R/ +LXxgXo5W3Uf004WYjZvp69w5JbcHAh9O4ANeuEPNdkUfzRXun5PyZ32jc0oM +5GUy6pYZtibmGN/YzibPcnI+HjaYuew3lc4rs48cwiG4u6Je2FMz2wt/L58q +PD/aY4bQF72RC/4LwAHvu8z3rq4atzd4wx984TuEj+SSvHQWrqWR8j/b5AX7 +g1G3YPRFjSEbCjn/KPgDjxPRm9ydCf46wtaq+NYzp7uDz4HAnIj/Iu6gD59d +Ma/wZThmzZbglTu3FpZNF7ZDv3GX7wQzflt8bzfEN5oeXYo+/bl0Xr7MXFeL +Ib+9dFzkmZiILQseiXVW+vfmrgnmGd+WpZgnzDJm2r7MuV2IuPCDOQYOM3Uw +egQfW//3n7ctbJGPavQ4MXXGXL8Yc2xlds2tfOtrnVdi7Y98kqN/AerIag0= + + "]], PolygonBox[CompressedData[" +1:eJwllEtsTVEUhpd7z6179t0nDCRSI48IAwNEaJHog6lXVDTelSoSvYloTCRG +etWgU69KRCJhoqUYMCAtNRDqUTqrEJHrkVTLhJHvzxr8yb/2Wv9ae6+1zlnQ +Vt7emTOzjSABTzKzat7sIrgWzN5gNxfNBrH7sQ9Fs0cFsxL2s5LZPeyrJGgk +ZpTYW+AyiQ7j7yV+D/4HxA+Re7di0bTgnwQ34LeDa0/VmI3j3xVdmwdb8b0j +3zS+QI238HaQov2CXYf/d2rWSf7jYD7a/dFr6ewA/ErqtTrAUt0XuxbfIuy/ +6JeAYfg3znqI78F/H30Td3pNrW3B79IOWvF3g0Z4lfhz8AniF3OXlZw1ED9M +jTL8H/4+1Y/O1dOh4HfUXcvgD9qnxM8tuEba+uBvG1APybcweuxDcBBeiV77 +A/GV1M/k00za4B/Rz0D7HCyDbwY5Yudgt+A/Qs5fM82+UqMaHeJTnB3Dt0bz +JvYCmtXwvfjHcz7DffAxahaxu5jJOvxHM9dqJrOoNY837Ei8p+ptCk7nfEdW +oD8fvdfqoXr5OHgt9Vy9X5/5LqjGe+xXmddSj1/Cr3P2SfupHOhXUe9E4js3 +ja8u893VG+rheTBZ4zt8h1p9xDfnfQe1i9+D75bOfsAHgs9eGmnvYm8q+g4m +2Duj74J6uiX4N6FvQzFjiucOZ8i9FhTI/zN47zWTieA7ol1pJf4z/EXqvBb/ +FP7ZwWffD7rQnyw51xv1Vs1Usx0B3dhN0XuhGVWwl0ffDfW8SOxZ8t80n8kl +/L2ql3gP1UvdUXfVDg5iN0TPPYpmQ/RvRN+K3qS36Y66q3aoI/N/gP4F+qZG +4P8BpKaS0A== + "]]}]}, + {RGBColor[ + 0.7494840049999999, 0.7540049699999999, 0.7346438074999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFVTtsFUcUHd7ue8+7s0NjBdEQIFAAKfjYEChj0cQFBYg0ISQhFbKxSyOB +sY2EECClNEgYKQKloQGMDbYhSsTf+UgkQYKKX8RHUAQJpHyqnONzLBejuXv3 +zp2555w7s3RX79aeWghhHCPDeF2G0JqH8ArzcDOE4xgv54VwrKZv2itgR4wD +sCcaIbyYJ3ugqZh+2Ffh/x5jFeKuOOY68k/CnmrITpm+q0x5Ju0fQo7BptYx +Z47/A1i/qB7C+xjz8d0J/4na3NnavO+gz8x144jryHTWXuTqwTgCe21TuZin +y2d7iH33wt+HsQ7jegxhAWJuRJ2H9XAvxs6cy3sNGRPmY94tyL8a8xqM/fAv +z1Una+QZ2zE+Rcziumyenfu22d/m/VkLczDn/GwOI+K81vm51+x+K2vC+6ox +ZL234X9uLq7Y/yyKk8dFCJuSYjYmxQwZ83v4/gTnPgcNTDs/a/k16ty/RJ2H +Z6H/KWL/xLgUxFXdfO1rCBeecY3rYPz+JA38VSEWuUbgGy30n3gx9+0o3O5E +cU4//18sFM9178G/sK7vKeuHa2JT3JHrO7nw/BD20ZrWkOvuhrgnPmOZ6qVO +bkXlvIn5TSVM+5N0RCx4/sNReTsq1cC9B5JweJIrbjdy/J2LU55rwjqf5ZJ5 +PsPay4jbgXlFFH4nUd+runIxD/8TT+I6nWvutw4HrNvvovA/FTVojxDXSjhQ +y6PG7d9SvLLe35KwYS3MeQQx95H/h1Kcc3/qin12zL1GH2tc6fmpeWevHcqF +05lCtZ/Fvj9FaeBnYzadz90Pne4d5qdNXbLWHbW5/mIf0+4xX6yXuovmgrpa +7V74J9PMsw0lcUcO17eoH2b1QC3cRZ498LW36D5b1pBeuZ78UyfUC/fttU5u +NbWGNudu2zP3ZV3YED/qiTm7HMPzcuYa+sldl/1lU3uwri7fUczZ7juBuHd7 +HeOnKp31FDDeihqfIGYb5rtJe5ND3mEPMtWZJ3EzWoqbVutqc4v44r/fk77/ +SMK1w/rk/1ZzSpzuu65vS2H6I+I3JOHyEebpqD79rxQXy4znhVKYZEnrx3wn +XyvFyclKehy3n3GMOY//pwtx9Y01xbrYUweSen17KQwO1qWjncg1AftzzF9i +TML+opLu6Gf/fFWJ2w/cf5PusV328/+SSjp8W0h/tMkR+4d9NFbonRm2Rjv9 +RqwyvxO+b6kjcsy17EXeTfTxnh20tmfeN9/5x/32sS8YWzqeWtjrt4EY9Pm9 +oF4YQxw5R9vr/JZRA31ey3jilXy/LrDOR1zfUddI7fGeZ/zHlfAnD48K1cc3 +5LHtwaTY3Y4nD/ymbm/6Lv26EjcH7X9XaD9iPGyNs/b/AYCsEiI= + "]], PolygonBox[CompressedData[" +1:eJwtkj1IlmEUho9+72t+7/c+LoG0qGhNgRDh71i0uH5uqRk6OaSjg2UqiOjS +KmgkiGBO/qSWIEqKaRqYSrqJBQ06FhRNXTfH4cB9fu/z3Oep7OjJdxea2T0s +wipTszhj9iE2ewpuTx2vYi3g2ZxZX5HZbWwNvy+YbdG3hv8cPIDdZeA6/iB4 +gvrvDL6kvzcxe4vfBa7AvoAXiS3D10TNCfXz+O/wT7FD/K/Bc4otkNulJ4Dv +ENsDH7PDM7h2bpjVBecQ103yV+AGYp/I9VBzQm0VNsZ+rdjvrNkbamqKfYZm +qUa1tcSmtAs1kwVmt5i5A9+vrPdKI2lVQuxngXM0wrWPXxa7RtJqGyuNfcYS +vSvYEP4F9XnqLxPfdRj7Ru5lcC31xn7pB8do4fUMcHPw3nFi9/FfBNdaN9At +JuH7Ebnm0v4hNbvgQ/IPUu9Rr250Dl81/HuR14xQP6EdzWfM5Hwn7fYIPY6Y +v5H4baSZtFsmXx77mz9TXx/8FtJE2rTB9z52DnHNEfsT+R/QX3id9b/0V/cm +/y/x22qmZrem/vci8o/Bm8FvI00+Jh5TThxPwK/oOcs4xzT4OPju+mMRuDP1 +W+oPdIAPcv4XdRPd5j/RtG8O + "]]}]}, + {RGBColor[0.8357189999999999, 0.8393799999999999, 0.8099525], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJw1UTtOw1AQHCcOxjwiekKDhFDSQmdyinADDgAH4C8OwAlMChpCDwVKScFX +Ai6QQ4ApqNhhhuJp17uzM7Pr1Z290W4LQBWvHe+mBOoM+FkABgWw1QHG8X3W +UX6RKVbOm1z5LGbX5oDvXPX9LpDNA4cRl6P/mQvD2aE5j6LXCsxxxCq+1+N9 +BAbOiX9K8kNf5Kbee9Q3FuVpO2YvS9XOIx5Yl/qn8dqRn3TFl5lz1JXH21K1 +xt7oi/ilOESvI99je6k8fxe6X4G/StqXuzf+Zv05Cb/pXd7ijvcR61K8U3P2 +C/FTl3O8D/d8TdpzktQnjnjqUI++Z6V25w14P3KSm7flP6t8b3jfrJAGffzV +C/WGniM/+8SxT82BdRn75uQcMf889Fd7V+4M35J34v/gfen3JWmePPQz8Y7X +SXdeMQ9r3LExd8/1qXP6oT7s8zFp9iHiLz/UVoM= + "]], + PolygonBox[{{2810, 413, 1308, 3017}, {2986, 1270, 209, + 2467}, {3019, 1268, 413, 3018}, {3456, 2051, 1340, 2528}, { + 3453, 2049, 783, 3312}, {3455, 2050, 783, 3311}, {2528, + 1340, 1339, 3045}, {3016, 1308, 1307, 3015}, {3020, 414, + 1270, 3021}, {3411, 1411, 414, 3410}, {3311, 783, 2049, + 3452}, {3312, 783, 2051, 3457}, {3045, 1339, 1411, 2527}, { + 3015, 1307, 1468, 2645}, {2461, 196, 1268, 3258}, {2645, + 1468, 2050, 3454}}]}]}}, {{}, {}, + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{2447, 2467, 2986, 2985, 3021, 3020, 2486, 3410, + 3411, 3122, 2527, 3045, 2528, 3456, 3457, 3312, 3453, 3451, + 3452, 3311, 3455, 3454, 2645, 3015, 3016, 3017, 2810, 2485, + 3018, 3019, 2984, 3258, 2461, 2768}]}, + "0.8260000000000001`"], + Annotation[#, 0.8260000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{2446, 2466, 3137, 3138, 2951, 2605, 3165, 3166, + 3162, 3164, 3163, 3167, 3168, 3105, 2547, 3104, 2548, 3106, + 3169, 3170, 3171, 3013, 3014, 2484, 2809, 2482, 2821, 2483, + 3012, 3011, 3228, 3227, 2754, 3520, 2720, 3284, 3384, 3385, + 2830, 3383, 3382, 3283, 2719, 2751, 2441, 3536, 2736, 3331, + 2737, 3537, 2735, 3540, 2738, 3332, 3539, 3538, 2518, 2794, + 2795, 2679, 2971, 2972, 2973, 2981, 2459, 2856}]}, + "0.767`"], + Annotation[#, 0.767, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV0L1KwnEUh/HTplkYtbU1tQglBBkFegWWYmlr0JtDLQXeQFmB7Y6NLU5B +FxHZUrkZOPQCLXkB4cfh4Tnne87v/OG/sHdaPpmIiCJayYg75KciCrhMRWQm +Iz7Qxy+25UWu8CbvcGM6YpdL+ipvcY1b/M+3fG9n6PaKm2c4x4z8QL7GX/ZW ++ZNzvC9P8zHX8S0/4kP8yZ/cGqgL6KsfzefUz+jiXb/Or2azvvXGG/qevOP9 +i/pBnUVSv8QJXuam3SZfjf8BbnCNRfN5t9q4sNPGj2wEJPwrzA== + "]]}, + "0.7080000000000001`"], + Annotation[#, 0.7080000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwNzTsvA2AUh/HD0IZqQ1haRCwGtwlDQ+0uKTVbxEzC4ANg66pWH4AoNt9A +mUgwtINEiVvCxuY3PHnO+Z/znndwbbO00RIRqyi3RRyh0BEx3B6xn4oY4Qbq +mJb3oR9Z9CKHPJYwZ6fI87zMO+mIFV7Ul3iBK1zmgtuXmMGPPwfkW+ptZMzX +vZ3ipnyC3/ST/M5p/uQvfKAnE9GNb3nNrU71k/wPv6jLHt1p8Kz+GbfqLn/d +8Yu+iaR3CZzaHUfSvVFO8Bjv2j3jE32VL3COY/219zdoRQ1X2LN/b/aAIWT9 +d4AKDs1eZf8orTN6 + "]]}, + "0.649`"], + Annotation[#, 0.649, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVzTsvgwEUBuAjMajLRnTDILGx2jC4rHztSPgB/AVKBB2o1tJIJFRrQ/wA +l4WyMLkMZhsGiYHEY3jynvOe79IztzA53xARs+RTEXsMtET0M8M0a7pdauYq +6daITlZ1ZZK2iAyDur7miGeeeONQX+XX7UjWWNcfyAo/+g37vjkvh+W7b77o +P+SI/ZFPEvdL/7/i1O3bfiwb7SfyQp5T0Je9P2S+Mdfd2v9neW1Pm+vywd5h +PjPfccu9bty/Jnj1jTE5Sk6/Kbf40m/LAr3eKfpGiUXPFFkyT5HQRY4mz5bc +ls0ZsnSzQsptx61i/gOznTpy + "]]}, + "0.5900000000000001`"], + Annotation[#, 0.5900000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV0EkuRFEYhuEjiKgWE70EhehKtwADc01NlG5iShhI9BRbMKBioN0EA7UF +W1ATpdsC8dzBm/d833/vf29O9/p2bqsqhLCDTCyEs3gIDckQCtyFz/oQctxr +dson6MSHfoF79Md8hA5U9PPcrT/kC7nOvgPndsyhUZ7lfTwnQnhCGRPeedOV +sYc2eZdbecr8le/lO/zi3e5pfsEWasyHPVfNKd/Y1qW5Vs7zWLTfPMsVeZw/ +uMTNqRA2OMZxJPAnpzmFJDblFj6yoxT9l/OkbkZ+kB9R8E+LnI/uILofXOrO +seS8HN0lMijqinyFlehe7PvS9Tn3YwDXWEWT2bfZoPMQhnGDNfzoR3gUWdzi +H3XVM3M= + "]]}, + "0.531`"], + Annotation[#, 0.531, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVz7syQ1EUBuCVRMgdCRozRkq9iCQ8QBozUjBuwUkt3iPjGTyGyxOk12E0 +oaaPGXyKb/79r7P37LPryXVvmIqIfUb5iFsOyhGH7JYiNgoRr7zQ0ZdZocoS +NbZZYJEy81RoUqREjgJ5tphljgxZZmiQIs1P0Q/JX7kp192/J7vyzuyeB4Z6 +W7a4Iq2/2bdj/UiHZ/3Tu9bkpZ7wrfe98Zx38xN5xDET/UyeMrUvkQM+/s/L +C77cM/atYf1kfiNXKxF/7xQi0w== + "]], + LineBox[{2790, 2449, 2425, 2962, 2961, 2591, 2773, 2772, + 2430, 3067, 3068, 3064, 3066, 3065, 2429, 3062, 3063, 3059, + 3061, 3060, 2428, 3057, 3058, 3054, 3056, 3055, 2427, 3052, + 3053, 3049, 3051, 3050, 2426, 3527, 2730, 3329, 2731, 3528, + 2727, 3526, 2729, 3328, 2728, 2749, 2748, 3114, 2561, 2995, + 2996, 2997, 2584, 3586, 3587, 3583, 3585, 3584, 2819, 2509, + 3555, 3390, 3524, 3610}]}, + "0.47200000000000003`"], + Annotation[#, 0.47200000000000003`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV00dwTmEYhuHPBmlmlEQv0XtbIloSNmzsbSxYINFZaYnEQtkhRTDDRq8R +0iQSve2UxIyy0kmkiDKub3HP/T7P9/4n55z8f/qK3GU53UIIrXieEMLSlBBS +E0N4lhzCDPNMpMmZ3Oa8Sd/OWfJrFGKV8x/6lVwgt/B1O6nman0e70advoVb +8QI9e4VQYa9Vn2pOw1f9d3xDb/0RLkKH6xzmQ/ipv+FzL83Z6DQ3O+/g0/IZ +1MhpfFPXPSmESu4v1+rP8Vncdp2LfCnem35gvF97PexX8QD5lv4Cn8cv3WU+ +7HP1+kHmwfE57A/lIfGa+iPOr5gb+CoXc6N+hDkdCfaH87C4oy9y/g5vUazb +wZ36nVwib+ej8R3yL/0uLpVPup+NvED+rF/Im+R5vFiez1m8CNl4L7/BNp/b +Lx/APuzVHeRM3hLfKX+Rs3izfMr+cS6Qf+sL+YScx8d4D3fp87lM3mq/Mt4z +nuin6KYixXNP52l4qi9zXmu+wzVcyo/1k8yTkWx/Ik/AI32J8+r4P43//2g8 +0I+L793fTLLfwOPlh/oqrkRj/D5yBe7rx3K9vUT7dTxGvqcv52vog3K5yVmG +uTl+D8wdrpNrXodPzjfwevTT/+V/6MIf/EZ7fL74mzG/ir+f+N2Nsy4/vrf4 +7K4zMn5fdW3215rn8Ed9BufE++E1PJs/6Gfxank5j+ZRuKvvKy8xz+X/B/2V +Dw== + "]]}, + "0.41300000000000003`"], + Annotation[#, 0.41300000000000003`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVzrdOglEYgOHjaLsIB9vN2AZ7LAh2QBRrrJuJiRJANyurriaO6qpYUZy8 +EE30YXjznO/wkf80RJJdiaoQQkpf1SHM1oUwUBPCe20IJX3o1/zFsj41aL5R +2n7C/rBznCNMcojzjHCOo0xx0X6aUfMCY1zkGFe5piWtaLlytt/EZjWqVS26 +ct9WH0K7vs2d7FDZ/b73HShTebu7jLsSc1rxnT37q8zzULv2cszq0u4mt7Sh +HW0rbv/O/+/1Zy6Yb53XnSc1pQnNaFr9fi/wiOeV7/CCRcbYyyj7OM4enjHP +E+Z4ygc+qlsv3vmqN/2Yn/mkorLmY/vX/AckTETm + "]]}, + "0.35400000000000004`"], + Annotation[#, 0.35400000000000004`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{2590, 2887, 2532, 2886, 2533, 2888, 2956, 2957, + 2890, 2891, 2889, 2893, 3333, 2892, 3334, 2418, 3147, 2632, + 3146, 3149, 3148, 2475, 3466, 2665, 3314, 2666, 3467, 2664, + 3239, 3240, 3236, 3238, 3237, 2419, 2929, 2928, 2921, 2922, + 2920, 2924, 3340, 2923, 3341, 2474, 3469, 2677, 3316, 2678, + 3470, 2676, 2816, 3386, 3285, 2726, 3525, 2675, 3204, 2673, + 3203, 2674, 3205, 2672, 2954, 2725, 2953, 2724, 2789, 2588, + 2770, 2530, 2838, 2529, 2769, 2839}]}, + "0.29500000000000004`"], + Annotation[#, 0.29500000000000004`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{2589, 2771, 2531, 2835, 3048, 3047, 3046, 2740, + 3253, 2743, 3144, 2630, 2989, 2990, 3145, 2631, 2993, 2994, + 3574, 3575, 3552, 3593, 2502, 2813, 2501, 3551, 3550, 3589, + 3588, 2744, 3403, 2572, 3260, 3348, 3259, 2571, 3402, 2570, + 2918, 2558, 2917, 2559, 2919, 2992, 2991, 2560, 3108, 3217, + 3216, 2818, 2511, 3039, 3038, 3246, 3245, 2884, 2883, 3315, + 2671, 3202, 3036, 3037, 2815, 2510, 3035, 3034, 3244, 3243, + 2741}]}, + "0.23600000000000002`"], + Annotation[#, 0.23600000000000002`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{2508, 2831, 2832, 2722, 3241, 2721, 3242, 2470, + 3107, 2471, 2988, 2987, 3004, 3003, 2478, 3449, 2642, 3310, + 2643, 3450, 2611, 2798, 2685, 2817, 2684, 3225, 2704, 3223, + 2703, 3224, 2885, 2881, 2882, 2871, 2872, 2473, 2916, 2472, + 3339, 2869, 3338, 2870, 3043, 3044, 3042, 2955}]}, + "0.17700000000000002`"], + Annotation[#, 0.17700000000000002`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{2587, 2912, 2541, 2865, 2866, 2867, 2557, 2915, + 2583, 2788, 2556, 3477, 2683, 3318, 2682, 3476, 2797, 3380, + 3379, 3281, 3465, 3464, 2752}]}, + "0.11800000000000001`"], + + Annotation[#, 0.11800000000000001`, + "Tooltip"]& ], {}, {}}}], {}}, + AspectRatio->1, + Axes->True, + AxesLabel->{ + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + AxesOrigin->{0., 0.}, + DisplayFunction->Identity, + FrameLabel->{{None, None}, {None, None}}, + FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines->{None, None}, + GridLinesStyle->Directive[ + GrayLevel[0.5, 0.4]], + + Method->{ + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, + "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, + PlotRange->{All, All}, + PlotRangeClipping->True, + PlotRangePadding->{{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, + Ticks->{Automatic, Automatic}], + GraphicsBox[{GraphicsComplexBox[CompressedData[" +1:eJzNfXV0lTnXb3F3d3d3K2xscHdmgA7u7g5FBpfiXopTtBQoXoFCW6QtdaF2 +emqnpwUGGfSe6XN+yZd96H3f7/51u7pW1s7Jk2Qn27Kzk1QZN3vQxKxWVlYD +ClpZ/ZvyP7vqPU3/TqTC7gIOvzXT9O/DfvcXcMbP4UECDtMyBLw7o3ysgKv9 +C9rpBHwzo7hewN0zGkgScGhGfSkCnp7RoVQBa3/pDJZ4/Tp1FzDwU3/3FzDw +Awz8AAM/wMAPMPADDPwAAz/AwE+dl3QGy3n6NV4yVfFzZ/i5M/zcGX7uDD93 +hp87w8+d4efO8HNn+Lkz/Czp7tfzJPHiKfADDPwAAz/AwA8w8AMM/AADP8DA +DzDwU/kmncGSj35Nd+4WeKi/y1SdP382f/5s/vzZ/Pmz+fNn8+fP5s+fzZ8/ +mz9LufBrPnK3mBeOB2CeAj/AwA8w8AMM/AADP8DADzDwU+VaOoOlnPu1XHC3 +oDM+LxwPwDwFfoCBH2DgBxj4AQZ+gIGfKqfTicvtHz///YsS+Kmwu4CBn/q7 +v4CBH2C0Axj4AQZ+gIEfYOAHGPgBBn6AgZ8KS70E/Lic43KB8xGnOz5PgHkK +/AADP8DADzDwAwz8VL2aTpnpWeDH5TaXc1wucD7idMfxAMxT4AcY+AEGfoCB +n2onpFNmdgPw43qIy20u57hc4HzE54XjAZinwA8w8AMM/FS7J50ys4OAH9er +XA9xuc3lHJcLnM74vHA8APMU+AEGfqodl06Z2XXAj9sJXK9yPcTlNpdznG84 +nfF54XgA5inwU+3SdMrMTgV+3O7hdgLXq1wPcbnN5QDnG05nfF44HoB5Cvwy +s7uB36/tOG73cDuB61Wuh7hc43KA8w2nMz4vHI90i1Trn4NItf7fE6nWPU+R +at/5ijTjM7sAkfbIqChUpDMyKooUqZYfI1ItP16kmt5KEOmujIqTRVo1ox2D +SLV+GUUKPKzYH/J/XU6OgzYfcaJ/gJGin7z/+B39xu+A8TvwwO+A8Tvwwu+A +8Tv6j98BZ9ZvVU/HMbqLyxQPjifHg+PJ8eB4cjwA83nBfP0nPPnvHC9O55xO +eD7a5eOGcVDttgQBA0/AwIvzMceD20n/r+1wOlbtNCOzYyQdc72OfFVvxjE9 +E8fksqzv/7UeTc6kiVTDx06kKv/amfGKFak2TnGZ5mvjHi/ytXHUC1jrT4KA +tXFNFLA2L0kCds5Ik1k7KQLultFeKmvPaNE/lY5j/7/pp6rH0iz6yeeFzxtg +Xp7PM6dXrhc4X3A7W9UXcWK8MI5IUV6tP57RRwyrN4aNa4wonxld/Ro/rCvj +Mq1XHU+ul+2YnIq1GHfo6cz0OOwV/jvyb5n1OsojRT7sG/478mEHoDxS5Gvl +fSx+Rz7shszsCjvFfpK/Ix92RmZ2iNZekMXvyFftEku7BfYZ/13Nj8nUzgGM +9TjmHSnoVqWvBAt7CPQJPYDfAeN36AX8DpjL+8zsLsB8/afaZXFC/qD9zOw2 +1X8hf0d+Znio9cYJeQZ8MrMLoWf478jPbFwAoz1VPhoztTuhx/jvqn7jfOjE ++OwWSyXfIUW+Rr+PRcr5DCnyZ2VkvBAp5yukyNe+fy1SzkdIkZ8xXD+DRcr5 +BinytfGOEKlqX0aZ+xEtUtAL9zuo9qhMOd0hVfkmSaScbpCq9JDC9KfRYt2I +fOhRpKo9Hcns5ygh11V84wQMvFQ9ksTkRQqpdpBR0DlgVb/JfqCdzPoBOYXy +0Dv4HfoJMH5X8Yz7r/HIrN+AVX1vZHox835wmOt11e5xZHaLo0UKftW+c7WA +eQp+1ejdywLmKfg1o1h1PwuYp+BXrRuBFjBPwa+anRVmAfMU/Krx3xsLmKeg +I+gJLse5nOV2HE9BP6iPwzwFfaE9DvMU9Kf2R8I8Bf1BjsMuAx2AfrieQ/9g +P3K9hP7gd8gX/I728TvkmqrXk8T44Dv0A9+pclD2Q7WPpR8J5cBHaj2yn2q/ +pBxS7VhPtu73FHoRfKHyky8bZ1+hF1W99pjZd55Mr/kIvsB30GOoFzD0IvgC +30F+ol7A0IvgC3ynrjtCBQy9CD7Bd6reSRCwakeliPlT9U6ygFU7yCi+w/xg +HlV558TGne+7OzD7Xv5hfjAOGE91/ySCrcfkOkzV63EWfmluf3L/Nedv7ufF ++IAOuX2JcuAv7jfl9h3yId8xjip9OjB7y4HRl4OgH8DQT7w8xhflAYOeAKv6 +7p7FvKn2nCejX09RH+fTzPgQ+gR6CPWp/BST6bjg98zGScUz1AKPX/Otg8U4 +cTx5PzPjaz7OfJw4nhwvzvd8nvm8qesqvaBnrg9RTl0XJTI7KUHQM8qB71W9 +J+UMflf1YEKmcgbl8J0qPyztHm7HQK6CjmCXQS4iRT7a4XY2z+d2Ivg1MznD +5QqXC9we/vU+hvQvZeanUuuBnasTqUYH0J86kSLfzmxXYJxV/r7F5NE9xq+u +Yh5Axyo9e4l5AV0jRT7mCXSOFPmQ89xuBB9wOQ65rdK3lMt8Xc79JOo8SzuO +6wFud6p+BKOF3AeM/qtxHDxNYPaogflfjRb+BN4uzwes8jP8jmnmcYsz85OE +wQeAf70u/N/Xo9pvZ83z7my2c56KVMv3Fam6/pbzCxjyAXSN+VPloNFiPAGD +rrXvedycg6Brrp9V+8bfQs+hPtA3yqt6R8Ior+oVKytVvzsJOY/fVX3P/bTu +TK+5M3uBx+3cY3rGndl1Up9jnNAPrlfxu6oHfZi9IeMVuX7HuFopf9Ju5/YD +yqv4+TN8ZH3qvPgKu1PV0zIe7/8+b+4WeP/v5tXdYpw4HnydwL/ndhyPx+Lj +wPHk6wq1fOZ0Bz7jcROQa+B77r/ldjm3szOrh9vhar6R8akr428eB3tP8DfK +qXpPxpGCvqHHuL4DHSLFuKr7UJFCz8PPgfxf7+dKu0Ddt00U9gHkGGBV70i/ +tBq/ZRQwyvN55HKW24mAte9TRIrvVf2ot7AjAfN+oTz0h4aHUaSYb+gVNV7A +KOwY0AFgLs+Rj5TPJ/SKppeCLewQwJgf7pdW/YPgK5kiH/qK2+fcrkE5VV66 +WthlqjzwEvQLulTpLiZTvxj3myNfqxd+oQTRT+43435z7l9T4z2SRPrrfRpJ +F6pdnMTsWwlr/U9i+08p4nft+xRmJxvYPBiZHSTj0UA3Gr24CXsGsDZOd8x2 +0QORD7kC+uLzpqXe5vl6Iubv1+seH3O+H93O+OClkDva76/N32PfxV/AGt1g +nRko8mF3q/suocJe1cYlUYybNk/JAtbmz8DGNVHQjfZ7opgfVQ9IOYL5AYz5 +UeWVgUIyvk8V7YI/tNROzIs2HkeYX0vP/LF6pof0bF2oF/IA86H64QIE/4Pf +AGNeVD9QIpt/JzH/WrseYn61+p8zuRIl+sXtZI4nxwtyFO2qevOaSIEnflf1 +p6PoL8qDrrneBQw+UPkmQOhd0Dtg0Du+hx7Gd4DxHeaH62HAoHOkahxbKIsn +CWX6N4zJbbn/rvqt9Uw/S35R6Vkn6BdwZvWocgl8p2f2j+wHtxNUuSv7hfLc +jlD9RrLfKM/tDJWPJF6Qn9DfqnyOF/ypzdNZQT+Yd5Tj/oz/Vg5xvQ76Baza +K1L/8X0jlIMc43oQsKon4wWs6q0E0U/oMb6vouotrtcs91lUOjFY0BPvh4qn +TvRf7VeC4FPoMfA75gnyCXICfAW9os1rGPN3pFjIcdU+lHId9KHVayvmDfoX +8hX6DvwKOQC5gf7B/tG+jxV8pNJ5qhgfyH8VdhT2JOpDe7DnAatx90Zmhxgt +7By0B/8e+q2uT3yYfPVm9sVrC/tP9Z/6Wcwj5K2qdx4wv7qTqB/jz/ul2jcB +ol18h3HB79q4Bgt6wXjycySqXMN6Qcf4RvpDITf4OgPjy+tV/dTcbpH7pPgd +8kbtl0H8DjqGXoR8U+Oe4wWfqe0ms34lsXYNrF8Gi/FQ11WSv1X9ifXNUzHv +6nx5WMQBad/5CnsE/AgY9K3aG5Kf4SfE/Kh0asdgB0GnGD9Vztgx2EH0A+XV +OJUAAcMugBwAXaL/oBMet6OOzz0mjzzFeGrs8UTAGG+MH+x1wCoe3oL/kA9+ +U+2xewJftbwfm1cfZg8/F/awyt/ugk9VufBa4If60B/Uh/UO5LXqZ3ssYFWe +wX/qLdrHeAIGPmhXXbeGW/jVIcdVP4aO2cfyPBPsGsCqneAo2lPlnCOzK9yY +3e5oYbeq/Y4S9iPsMMg18AlgpCjH9+HU+Ecd09/xTH86MD1xT+hrVV5jHzOE +xWNK+aTaXXy9p/uvv4OchH2oyscEC7uEr/P5Ol4jS/jzHlNERnnEOb0Q7fEU +63vY06p8ihR6CnQL+lfj/RKF3FP3F9JZvJCB+TdlnAzfRwX/gX8hr9C+yteP +M5GLdqIe5EPeoR7Uq9r9RmZHp/3XfAUYcgjyA3wD+Qj5Bz0DvoF8RPuQv1hP +ANbwcxL1/rdyB+PB16XgC7Wfct2o+mUjWSrXhdx/i/xfr8P4Ois1E/6y9JNm +ti+W2XcYP8wv5JYqJ7wt/FfI1757I/BR+VP6eVQ/YpLFOpj778AHmAeVvqU/ +S12Hhwv5zdcVoBsVLzuRD7kKuga/Yz0BeQh5ovXHXcgTjW6eZyL33Vj8gkxV +/SLPSah6T/ortHqCRKrGCYSa+TFGpNxPoKbcf/Cf6ZD7ffm6MbN5/HX8QYIY +fzUOUa6Xfr1Pa7k+wnxh/NV1nh+TB3KdhPUF6Fddh+rFfGvteIj51uaPz/cR +lm8r7F3Yudrvz8y/I17C11zvK7Zu4vXZCTrTvtvP7OFbAoYcVOlIrtdUueco +9AXoTLUzgwSM+eDn7XicBPQX6tfat9yHwLoO/AV6Rj8wD9wPpZ7PNwoY88fj ++biflZdT43FThN3F28H3qj5OY+sBuU+FfJQD3arnJo0WfjHQC/cL4Hdup6h6 +We7XYF2qyttkZj8aLPbtkA/61+p9Iuhfm7+XbF3gyOwOBya3fMU4qOvjIFEe +fI/61HtfHJh/x1F8D/mJ78Hn6j0y98T3+B3fQ+7ie9Cpes+MJ9v3k78DP/wO +vlPjzF4LPFS87SzwVu0xT1Ee48v7CRj1q+NmZzFuKnyP4XnLYpzUfQtPts/x +2GJc1O9l3C7kCB8nrmfVeXud6T6Kyh9yP1H1i6YxPS/jgFT5Ey30gDZuEta6 +I+MH1XPRshz4Vl2/SL+3er+NtFu0bAljnw36VI0zTBJyEXiqdrbhP+ybcfkR +zubfaGFn8333zOQcUhVfy/6q6wSDkEeq/nIQ8w+65XzE1y0qncp9fs43nG5V +ucX9TnZCL6M+znf4HfVxOoe+Q35mehb8ospNKytVruF+ogh2XjCRyddEoYcx +Txhf8L0q9+W5EFWvxwu6Bh4YL9UfI/cntf4/sTjHoK4TZIp8rb/XmB8lmtln +8jydur42iHW51r/nov/qOEh/sFYe/iEJa/Qp70fS8DjL9lUSWXkJa/yYaKaP +pxZ+dsDw96rnaRNEPVo+h3XM/gY+egFr8iVB6G/MF/Q3pzv427Vy0IcBAtbq +lXF14C91P9qZ2dt3hJwE/UIfol3Mq/Z9iHncJB7gK4y/lmJ9elrAWnsXRPvQ +U+r83RL0hf4CRjlVj9ox/rUT/QWdoX/qd07sO3emb30s5AJg9Z4LGR/B4yX4 +PiW+w++Qu2p9Mi6H3+ekxtXohN4CzOUMP8/C42yRD/whv8HXGHfIc3Vd5m+x +fsN3qr/ek+lhT7Yeln756ma7AjDawbzBDgFdAtbKBYl+qHGPvuxeFl/Rvlpf +bCb7WG8YPUUx+8oST9WesuwH8OT7HDyOIbM4B63/kv+09nUW6zDAKIfvsD5T +6TeZxRemCDpV9Y5cv/F7qPh+PK9XjRPTM/snyWLdqPpfEy38/qq9JFOsC/E7 ++sP3FbkfQY1/MIqUxzHCDgNdwj6DfASszqOMI1T3FaQfSGvHshzyUU7df5Bx +d6pfTca/ad/h3IuR7Ts9YHz8QPi9NH/uQ4tyyEc5jBtPMb47Mwqm0veM/kg/ +EsohH+VUvKSfVN1XMbBxMLD1s5H5ueQ5Jswn2oHcg77RYA+hz1CvGicJP0cq +0ysOTG84CPsJsHrPpoOQP9BfgNEv1X69x/SUXE9DDvF1oHq+Sp6z5fJT+12u +j7m85PuYkMOoT7V/XS3seF4PX3fzOBDA/904Wo4b4F/LESkftPJpYn4Bq/v6 +aYJeYGcDBv58fKFXYWdBP6IcP8estevD4ki92bjL/SDoR+y7qHaetMdB78AL ++gLny9T4oni2npL3Imgp4h1tLeI0Aavj4Gmxr458wPidnxcE/fF9d+QDxu+g +Z3W9GMLineX6FvMPekL/VX+kntk9dmJe1XHyEOMCGOOC9b0aR5vK6EfKI8wr +53+MvypfnJj84Paxu4Wdq54/chffq/622EzkjTz/g/HGd6o8sYwL4Hafyv8+ +FnaZyv/+AtboJdBincLjPnncgRoXgP1geT5D9ctiX+YN29fnfllLvaTuQ8vz +sTwuBHhDPoDfoec1PGSKfNCvul+XwvZ5Dcz+k3H//N4ItRznk6RM21HXE3pB +56relvt5kH8qv3gzfpProszWSaq9CH2fxFKj6Ddg9X4ro8X48HKq31LP+FbW +A7zAF8BPnVepBzQ6cDPz6W0Wl+Qm9DHoXo1jkPeYAdbGF+uf18LvATkPWL0X +WPpB+L6Dhp+0y9R14BGG5xFzesNczl7AWvv7mT/Ikk74uKr6VcLYD9XwTRP+ +H1XfOln4DVQ95cjiXx8wf5Dcb1X9w3LfB/a09p2EsV4A/lq7pwUM/4eW/5yt +VxPYfS2WfgX1vL+M9+VxytwvpbWH/ez7Yl4xz5B30BuaPk2z8K9VN+t1lR48 +2O8BYpy19LWF3uF65tfnvOOY30Ouc1X7x0mMJ/qFetFf8BHWY9AvwBcw+Ar9 +VP3tsUKv8Ht1ME/oH2B+74m6TynLqedhpH9YbSeN6RMjy8d5nyiB13+Kc+b3 +QKn7RXIdi/FQ71WKE/pQPV8v7wNW/QZxTD9KGP1S96ciRfuqXzpcyH/1vrEk +0Q5glZ7kPbTQS2pcjewXxl+dvzRBh2r8SRyTTzoB43f1/jHZT+g1tdx/woPj +nSLKQ66iPODM8AQMPIF3ZnjyceB4Alb9evC7PhX6HjA/5wE+1ejPl61nZJyZ +6r+SdJcZXapxMZzuLOkS+ljrjx3T47ZM39gKPoO8U8+Fvxa/a58Fit8Bq+sL +B8GXaB8w2gUM+fZrO5Tf85Is7ADVvyLXw2rcgYHZu/J+C+AFuQEY8vPXcSep +jE8s4yfU+Hh5D6C6HxTH7BoZN6uem4nPdJ2L+tV4TumPAoxxwbxAr2n1nrU4 +JwB9pOIt4/dVv8hTYX+o694HLB5O3ves3rMiYTWuOo75f2KF/aDG4eoZfeiF +/aCuDxKYHpX2bXWzXQX9Dhh0AX6G/ar1h797JO8hxXfY58J3alyyntGxhPm6 +BvSsytkk5neOs/Cb8nNwKl3EZfodr5d/B1gdrwDm/3kt1o+gXzXOkcfJ65l9 +KGFeTt2PsizHz8dlRhegX00euzE57iboDvIN9ApYjd8IYuXCBKzGx2AfMpzR +Rbiw/8CfGEfIcdAZ92Or5XyYveotvgMMegadqvs8wUJPgQ9RL8ZDXf/LfR7A +0AtaPbif/Y2oR90P8hLfqXwWZ7GvBX7D7xhf/K7ql1gmXzH/cn2k3uufIOhe +Pa8k41XV+yyTBB+o9wjIe3xVepb8q8Ly3iV1vcT1ejLjV3m/E7/XFOOv7t9E +WthFqr3F7bUUds+ktIPUeBVpB4HuuB0EmNtBmC91vzJM9F8b/zDRf8QpqbC8 +VxLjrvpzkoX9qNoPMp5DPfci93mgPyFvVblwVoyX+n5PnNhPAV9o42An8AQM +PAGrfHSLnRe9xcblligPuaveX/uY8aH8Xd23iLSIt4Udotqf8Wz89EIuoX7Y +l1q+h7AX1DikJ2yd6yvoRr1HAvo0mu2X4F5pCav7i0aLdbZ63hHxKpb3yKr6 +NT4TO0PSGacr1T8OuzTF7KdIZnaijNdR/Qj+FvdvAMbv+E6V46gH8vOpGF/w +K/gO5fk9iWq8eyKznxNZucztcHU8kizscvXexXtMztwR9KHSu3w3RpWzBmYX +JrD7gBPEvGj1SH+qGl8ov1fvA04QckCla5xbcjeP520Wp4Nz0MHCn8n9XvBf +gi7VdTOPR9ALfxb0F/gL7XE/MNpR/ebcn+Yr5DjmV7U7E5nekjDmBfwJfa/l +RwsY/Kq+5yTj8VAP8jOrBzCPL4Fc4+fa1PstDEzOy3h21Z/Af5fxf+p5PwPj +dwO7r9HA7C1vC72p+m/9LPQk6BXyS41/5edmkpl/OpnFv8h4AXVcjGxckgUM +/tRSR8Gf6nqRx7nJcx2AtTSArdNA9wlsf0TCkP+wU0EvgNV4FLnPjvZU/eIo +9Av6q+7PXmN6D/2JZ/5rCat2sKeQW9weQj9UvSbj1FU9HybsZTU+9h7zb90T +6zHoD9W+eizaU/sn9QP4W40/kvuB2ndBYrw1ug0S44155jD4Uo3zDBEw6lP1 +qFzXqn5QDsv7RNT9yQSLdaQa/xso8EN9gLkdgP6rftNQMd7qPVWoP07AkGfq ++juFraNlvDz3d6p8BX//E4s4IMCq3Eti7UYKvFT/tE7ws9beWWa/OQr+VMeJ +39cWJ+wQ4A26Bwx+VO27swJGe8Bf5e94pofimR6V7xFDT8AuBAw5osYpRot5 +g15BfVzPqO1I/aTKm1gLvaHaUwY2z1KPqPqH5ycze1KmPB/jruHvLvhfy/dg +8keuB1S/vLwXRLWDE5g9KFMVv3jhZ1RhJyE/Qd/quWEj4/9U0T/Vfo8X9AQY +cgrlQD9cD/JxQznEUajxYrhnNcYCBj6gC/yuxnnIOBFt/Pm9ZTIOBDDqVeWt +u4BBf6B3yH3+Pjb6hf7y97Bume0H/M7jhNT9uhh2z4Ce2dcxLF5b3vemnkOA +30vu16t8GC9gdX88WvRb1SORTC7L9yj4Oy6Qe4h31PqXLGDsI6M8xlerR8ZJ +aqlBwFyuaHimCT+A9ruE8Z2Gj6yXt6PBKRbtop7M2skML8Aa29000+FWMY6I +v1DHNVDgp+7TRAu7Rd1fk/MH/gYMOgUM+aPOv5eA1XjCaHbPT7SQc4Bhd0C+ +gd6AF2DQPd/PVv1hMtXKyXM68BsAVuMTLMtp9cIfhzhrGWeB9RxgDS8JI/1v +v9PGwzJOAzDsPq0czoXDLuXnC+R8QQ6p4y/Pp/H5gDxT6UGem4V80ubNi8Vh ++7L5S2d0Lu+JgN0JuoV84Oe/IB9Ue1Dea67Rl5vAE/WrchnyC/sPCQLGehp8 +hvgtlX8lX8IvBFiTpzi37ybmCzD4FrDWn7siDkZLMV+If/YXsIbvawFr3wdk +co4smclJA8MjUeAN/4UKp1joAXWfJlKMJ8Yf6y+tvOwP/GbquMpxg59W7d// +/jv4fTM7l6fCmY8T+AJ6Tz0vIscJKc7NZZafGZ0B5nQFOgKMfqMe0JE27vPE +fKh2YbTQq+BP0BdglS69BB2O062rW6xaNL141PagMTSGyQM7Jj8cmT4IYOUd +WPl7TJ54Chjra8CwCzW+vi5SzI/qv/AWv6v3oMv7VrVyYUJvqP4KnbBrgIcq +L2Tcj5YfLdYXgLEOAQx9BBj7DJCDkIvquWAp15GqelPKeTWV75xo5cKY3pL3 +jav7AynM/2RgfGdg9BXE8I0Udj4/B6juT4eL/gAv6DHgodXry+LhnlrEGajt +Sr8A+odzp5CTGhwq2lff20kS8w77Dfhzvz/4EvSm8c9l0Q+Ms3pvoZRLnJ8h +J7V+yrhAjR+fsHOxcvwwPlp5b3E+F/0CjPHFfGntyHU1xjPhj7+HlqtmeY8B +36/Rvg8Rdjj8gOBXrC8Bq/7BSLFOVPk7ScAqXUaKdSl+x7oasBrPB/o0svWH +kcmfNCZv0sW4IgW+Kt6W4wf7R+uXpC/QC+x/lIccwb4i6EG9H+iZhZ2jtSPj +qkGv0BsaXvIcPeqDXNd+x3zGClibr1g23xKGXaau3+W5U9VvGyXkIWCsi+EH +Vc8XStgqf3a3b3eipB1hhrdmwO4CDobcN8O7zPwC+IaZ/wFr/rNwAX/LGLco +AVc364H7Z0YN8RLf6wUMOQEYdhFg8HmH8qUPd7wfRbb7Lnyp2fa6gHONXup5 +xs1NwL3SjhVqrfcW8POOY+tPzOEv4OKvNyz8VCecevQ0ZPAj6HruzFoZ7Qk/ +xhyNXwGjPNavX229F+9yiaI3zU6Nr3kzXMATx6yNnz47UsALRxg+9Poh4bUP +yz6+baoH4wN/yBfz7yXixg+LmBEryo/4PKjUz55xon3YG/j9TnJhiqwaLOCO +JdJcq0aGUJOWI8+Fmuof1jHv4X/tC/xe5fmoo6G9Agjt1fd8esklNEC2Z31s +wPkC9gJ+6H7g7uf+dwV8dv6cszv6eAr4XY59aZXnvqKECYPr/2vPNPm0eOGZ +7jECXr9ofKdne2JEe6MXbjoxa7ccv6TyRy9U2xNP2b6sPJGlWrSgT8CgF8Cg +F8CgF8Cgl3XmcT6b63KilWl9CjjR3N56M/z+kF+TPWHxYnxBryi/xDx/gAcX ++t0vy4xQAd8xjw/g7xe7fFuw9b6A7Ss6O2QLcRewg3n8AD+e3O1pn2lPBWy4 +FpKy75uPgN+bxxdw7pUtNs3u7ivgoydXld27y1/AFc3zC7iBeX4BDzDPL+DA +/B9e268/TYnm+SpwJX7AqJvRYv5O+DeMW/MjVsD6jFQn4OJHLr02RMSJ7z8U +bbNydkiE+H355qMPW82Q37/IvWnL7y6xgr/szPoR3/t5nR1Rs1uI4Nc9Nq+m +9v2uF/1d3im+XY+IBAGvyUgTRfm660t/m9stSfyef1LDlzNqJAu4ZAZ/JYvy +LufH7ti/M0X8fnzL4j93zzII+EwG/RhE+X4vLla+FyLpq8lV13c3bxsFPbWq +/3FZjZ9GQU+afZUm8O+g6/C5xexoge+A1Sk+VfvI8WqYwbfB1NjMv43N/AQY +/AQY8wV5ifYgXyDfwG+fzSl+F+czzDDkC+Qh5gfy5OKjDxOL1DTNX+VSGb9D +f6ryXsqXg2b6RPuX0880/LEniOkjB/H70042BWLD54rfsZ7B71dLV7oRO+kG +00eeor1DZn5T5auv+D7BzF+gP+hPzK/v8oRsO+7oRXn7DHrQsfGMF+1BvkD+ +QJ6r9CHp96P5O9AH9CV+92vTenD3mlI/Qb/idycz/oIf6r5Z+9tdNwF73c/q +E/zGW8B/nSuW92YWKR8czeOP+reZ9b/ano+Ad5v1P2Bns/5HfeU7a/MFeG7j ++XMn1bvO5GmAgDHfgDG/av2eAhZxOYq+jhf0CbtRbS9a/A77EfyWPrDs1VO9 +4sTv4pyD+XvA4Md2GfyqE997lHPL5b1Lfi/OryjtR4jyB4oULnFzTqRY7zfo ++GTyv/yD7zV+DWbyIlh8v/DZyvTpb6Q8HGffeL9T1iRBj1gfYPxbZsgfqS/x +O+STx+s8G8KskkR9nx8vrR3cO4XZe1Je+gygAr16SH2L31HfkAz7JEXU91eS ++92ve1NFfVhfoPyYDP0v9TV+R3sJGfpZ2nuVCubvW/lNGuN3oyiflqG/U5m9 +IOXx0gx9kcb0V7Tgf9AHfndcU7x55I1wAW9sZVtob5VgIe+EPW3+HjDksU0D +v/Krs8SI8rDX1faiBT3oL9tX/J/lIY/sXcLnj+pzXdhDhaoMKZh0S543LVA1 +6oHNV3chb9ILNglpEirvF23Q/e/o+Qb57uOMarcKj+0u982WjuqeM+2GfGex +/Jk915Y/lvt7HY8+S3q4Qe7XbfauuGd9oDzX/XFaRLW4LrECLv9jRVC5WvId +w7VX2x3t8OO6WG/Db3Dm0/6/m5/0oVnbYjd4bpDnXYd+zNeiQAEZ13xqcSHd +iA+W7zvmLbS/8+UVcr+v0PpdWV82kvc9NTvc5nr/yCB6VMUr8FqUPAc+9qXr +X7tuWe7/dXt/oWCl8bHCX9X7YGLahJs6ooAC027OkHH3AeVun3vsK/f7ltq3 +HzH0qPTjXvhjbOqNVHl/07VLMcuXXpFx0Mebtb++oKaTSAPHHb3cycuNSp9M +ezam53Uq96JMu7eJ3lRs4MmBh+g6XR5ePGqLab5+pC988qCzkyiH76zfnEry +iPKj+AM/Oo5f5Eap7RJDSnSNpay2Ty4lNXenarvTJrfsfJ2qpXb0pGRvym2T +tGpI7VhysTduX2SCUS/aOfH77y+Ni93o0KOB1zZH+9HOmiOPltgWRNMjPRc/ +/8ePtt6Nz12+UCxtHGC7upiJDpCPcmgX/UA7aBffoR6Xjg1WDG4TREULvltQ +6nMMPTy34PLMk2GU7Vifrz9jY+jnxG+1OrnoaWanG/vKm+QvUuQX+zxg7rOy +SbT2da6oU356umL9ovipZim05X3b9JEn9SIf5X5m33VyvnUKzYzuVqj/+0RR +Dt8hH+W2njyVZHcnka4mtygY0TuVNk3YkD+ldBrFLWoyNv2YUaTIh17aVGB5 +/glrdCJF/vkK1l5Z99wQ+g8p8jvtKbJu/XB5vz9S5C+umLah28MYGntw1dA5 +V2WKfMj5nRNira6N1IkU+e+/v9afzqejgXsHjEstnUpDK5c4UO66kWz3j+h6 +5L5BpMhv/mBr+p9zI0SKemokLN5XyqAXqXpOJ5mC2hhPexRMEqnQF3eWz1+3 +IIn0Vdp9Gd5ZRzUfxtZ7GJtCQZ0qBHSqoCP/A6ud85U1mFMdNfj0KcvPkWk0 +oOOWmj0McWQXfyr//nVp1N3P62Xl5DgKNH9Xy1wPvkM98+d41Kn5NY5y7Mt/ +v1dXo6gH9aIe1Puu57wpJ+Kkv3jH3zaj2i72oij9sCIn6TFZHX1iu3aCF4UP +ajamtf9jOrN36HrbyGcirdm9+faC5Ec35x6Ij137gq74ZL+f1saPWvVbPHh/ +zAt6UdQm7NtPX5GG5nvbZd7wMAofmzzv67oIOl0nuVhwuzBq2a/Z2a/rI8Q8 +Yd4+X3S6ffyLQaTiXqPD9Y/WvKWn3rt+xNY5GEHBLns6Vfoi76v9HvtuQpFw +JyEva1WYU/5jh9Pkeb5EyKnf3QUdnlly4MwGJ3nP5XiPQkdWbpH7vpMKDMmy +o5KMM4NcK9uvt2ODAHmvdGKzvTkWbJPnMOsMcqm4ISWVLlScev5FlDxHcFQ/ +07qyTt43XKBIidOLdxhEPchHufFWY2NKNIukbQeb26QPPUpDZwQePVcvknoe +G1LGw+Es/Xa54vaTpSOpw4/8I1/97UK73D/UHlUoknqVnWe8ke8hFeiW97ea +3yLoc2fbidkmPaF31vlfeaRH0MWLjf8+OvkZOZ2bnXVSZISp/rl1SvR9Sfbb +0532vIqg530973ZP8BXtoh9oF/1Au+gH2kU/0C76gXbRD7SLfqBd9GOP4Xud +jQdeU/iqqvNL34+gv+yvh147Fkh51h9wme8YQbbT1to+KpVKS/atWtkxMZl2 +VwwoWLxVGk0P7JTsfTqZXtbPWaHzjTRy/9R5Yey+ZDrTM8uZ+Q+T6USPaqcr +TjIKOgfd/+jROW62ic6r2gXkumOie2czXYPON3Yd+P6Ria4DPd9uzd7Wj0q2 +bHjt1dMYWmYsGztkbTT98fXIlZOeMVRs6uKJhRyiRT7KIR/lqnVJXlnwUhqF +XHvSfMVfRpEi//WrspW6mfi4k6Pftipf44QedplVaFX37vI9i+JDw3T/VJP3 +IhpeDXOOzqoTdKiea44XdB6TUmJHybu2VDA234TJ9s4UXrJ1Tr/KXmL/DPtH +LhVGWK1/6CnyUQ75KHd9We/rPcr7CX7CfsK7Kz3rTp7ySuSjHPJRDnIBcqJw +kc4xBTZE0CrD535J7eQ+lH2ln8+aXQ4xrR++li35LIWmVY8+MrxYCm1u8z70 +S10D0bmXu6bklPfnDbu+7kelSia4nm2K7TJ5jhR+/cMrE+K/v4sTKfL7jgk5 +Wrirgeaem+Y2MiiR5tRrPGJ+UyPtXeC+4v5jeZ/Ryoj6H75dTaZ7bRKCqk2Q +cQ/rcyWeXLVKvr8+bNPLxAJVZVwB8iGX3HUlZ1/IId/NPrGsdPe6g+X9RJ5d +Xq5clOWkRXzF7/nbu9c3tVsh+4LPX/X8/iLZj8T729LuPZH3fGI+VDloZeUT +P2XqFOtI0S76gX2XN8FFDo1+I993nDH4zsdW8+Q9m+e+/e7ju8xI0TZNfyvS +S97vi7R35TXl6/T2pmPllp7YFijfK/lrQ78FHn4xtLrMpQvHzsj3p1FOtH9o +ToVpA+T7I8lFOqW/t5XviKT0rN0yZJCeXnm9azzrvYEOFXlsPdMjkQZXK1gs +6y15zx6+Qz29s/7VsPhyPW111l9yeGcQcgVyBvWinafem42juuup6OgrrdKm +p1GN5Ctvi5jgbm9zrfCanUZt050DH17woxw5brR3OPpE6CnoLdAx6Hr0TpPg +jIihTjHLil/pHkFTm+f+tCA0hip8bd5qRXCEyEc55KPckC1hd9I7Gkh/pVqf +Elv0IkX+CJ8H/1zL9ZCOXfrt+Z3K8l2rbh7n/rp820uMO+ahy9Thkbm/yPMi +zsUWL9+x1fJ+IujJ7/kfl7BvYpJf1i8LXvhTT/fH1G+dY7TRnOrJp1YBqwpd +dFTibpOeVycn0fp23foFtNZR3qSsXQcUThbfoR58h3reFuvVZcp4+f6KvV/2 +1tOPu9Eib79uB47foBtjQ4pUXuNGnxP+uTmh5026N8l5/KGWblS/XddV9j3u +0MA3vXIes3aj1l+CX64w6a1HSQEP7nZ7QHMPNXu71uBKG3o/nhk5S77nsjqn +fvKfq4LIa2uHmCZn/elz18+T7y0KovI7tmzLnuc13Sm1bV6fsUFU633n6Fql +A2i/V7WcEyYG0bffa2xzjXtNA9puSnldJZC2rIhPi+0dRKcWOFkl1wyk1JzB +PVeY4GfVm0dNsk6kEdXH/BY7VEeJP5zWDBmSaE519DKs1u7ly5PJ+tabH8Oa +6qjirrNePUulUNfQ1ka7CymU/sebsmeWpdLzon0+/pFooANpv7Xd1kO+J2Nv +Z+gx7tUNStmVvdegpcep/ky/mGzZnelLt2m+J5sfEnQOuof+GPItfojjNEnX +oHPQNej8xapehapejKBSRWaPcH4ZSOV3uQy/1E7KBdhhsMsqxvnfbFBJxrmW +iG439chJV5HqrI90+aOQP4sD8yTnTf1yeB7yo8+VrP9Y2CJIpKf3HnLsnizf +m8nnEv0jV0IMDZr+YbZPYqiIEzXkaJR78SIdfdvsZbM1JJF65P4jKWcfHe3e +viXILkcKhVe6WqlGXR0dyPbnzhndU6jjjQJ9etXUie9Qjyp3ZD2oF/WgXtSD +eiEHIBcw76ADzDvoAPMOOkisaB/TdsIz+sdH/+3BevnuXL/21rE+f8h4olsf +bWrHXpdymt9XK/j6y/20btkTZGr+PcfCN6UqjtdR1u9/TA/0TqBa3Yw7K47W +kUNkhwfF7RPo96punVNsJN+Cj/Ed6lka37lKtWk6svGre3dPtgRa/THPwfyT +dNRyQny/ZZ1kvWgH9aId8CX4FHwEvgIfga/AB+CL+O5jWsw440xbGybly39t +LT1a8cYn4UEE0boqzUt3fk0zx44rPvVdDH17f95JtymYzrZzO5SYGkMLXIuP +KDsrhHLkTdlbwUe+7zOnXd5XzoleVOtC/Iaqj13pbZ+lJW4996LkqX8/sTrp +Rt9b7F26aJ4fXQnNdvF3Vy/akT5/SgM7+V5Pf9sbu7L3ke/1XKs4p6J7HW9y +fJV9Y8klDyh2Q2Hrnjv8KGHIjaPhV57SrFnPy/11Xr6POCbk2Z917eT7Ot// +mdJl2jf5niHkOOQ66AJ0ArsHdhDsSP5O2qMW5S7czZkk7EoLO8oMI27+3f5+ +E0Z2NaW9arW5tsCBujS49fb1OBOfB0+osdA0TtWnbZ6VK8mLkszjhHHLtun7 +o+kFomhPYvd5Ya9i6K9GtXtc6pdKfm59dneYr6d/umTZYG2XSlnu/1jmMVNP +rgvqTVlqsusTHjzY5t4yjdzMdv0rs53fdlu1RVEF5Ttpml3pRnNW7Z46qNNd +8n9gPTT0QARdWXCx8a4cIcIOmBUdcmlYC2lP1MkRU7ZuMZ3IRznko1xU9VP5 +iz02UF+r35cZTfYO6Bx0P+bFktBRJjo/a3OsatpEHd31eGZ9waT35jQ5/b6k +SQ+m5MgadWpnChXqvzdbahUdFZ25/o+XG7zozO4Xqe9eepDL4wblW/fwo6xX +TnvvDX1OxvA6m+sFGaj1rH7+D76kUovXp1KWBhho5eFWPu9zynubIYcr1My2 +suTJCLrWq0+hdsnSvgub0+jjP9+dLfx4x2xKBIxfKd8HxHmO8tm3XPIONM3L +mZCPkx3k+3+po5dU2u3oT4HDXvaudmQJ9U24M3zzOn+6V9Bj0o+F9rRhfYMB +K8fGUtPqM9Ym57tBTZctmRdpsiNf53kfmlbqHr13+GzfwXk+XUwa8Jen3p3K +PD3ybtHnk5S+vPmX/qPdafPJ1F4Ju2bQ2JmHlnyJ8hHtoF20g3bX14oJ7jjX +h/LWLHGzaWSQaBf9QLvoxx/LKlgfNtnxrZpsLTXQZNcXez2sbwMnA537dCJq +4Fcjnesz0Lv4GQMNu3GlRcrv8n1B+EnBJ+Ab/fLVV992k+8Hftltva1/ffle +YNPuqxzP35LvmGAdcLQE0cNQbzE/3M/N/dqqH9uVZtmsPLPvjquIcy+ydf/m +VxREM1P7pl/tIt8H/Nlq3fxsDy3f/0M+5n2Wrnq7/fXlO2v5B1y1+pBXRz4X +5+x1HCrvJ0SK/D93HO8b+0W+39erfnS/1Y+96UabCY57jtyg9dl3zux40Zty +56kYvmbITVo4rFqu7tO8qcDHkKbBk+6Qtf2G8v3ne9P7w47N2/u6kI/Hlbe9 +TXLRtfRvAREmOXl/dU6f399F0t7LY8ofCYihwoH/DD6arKeRkysea1gokfpt ++7vZFZO+21x36bncOxPp/MlFpza0SCabQoN+f184idqNfVHM9n4SLclf8FRK +xSTq8vhdResO8p24vkX7P19TTr4ThzjPA3cvZNmyPoJqFclmlyu/5Xt+/rMT +Bpz9W97/2dH30IkaezfQAH2OmXefGuih2/2wfav09N61+bq8zvJdofKON9/H +nPWiie3DrBf4uFO1g72Cajl4kdX17v2qpLuTf7kW/0wY5kcpXjvajfLzocP7 +9nx3GeBH6zs73/va5rmYd9BBrtMlT4WcdaVOxgJn76yUKfIFXZjpBHQBOonO +821IWocgqvwxm2Nht0CRIr/C4M/HXzyIESnoBHQDOuH36GOcMW4YZ4wbyge+ +3LzGyrQuwn5g/hI1N4RcletsyJ37Z+J7tjXZnysXLVkzPYt8X2/0XZ+Nz5dZ +vq+HcogPm5P3wvsnvvJ9vV6/L8sWsEhPp+0fL6030Ydu+ZzO96mmA9nfGfGs +nUnutL7u2rbd2Bn0udOieXmu+dAln+xhO1vuoltpm6em7jDQ3rOfup7+lkYH +A4+uoypelPP64LdlQzypVLdbPmUq+NHRydVyFHor39N7al7Hl1sTsGfGRvm+ +3uQxJ3fbOPhQ+p/6LtOMeygta6vdBzb7UIdh1Rpc33GYnob/Of/tRgeyKbrT ++8AId3IvMvriyZtBVLpHtoTJzq+oflLF5FLP5Pt48FPyd18h53PXzbb5hKnf +9ebvu5xowgN+TOgR+E1hT8BuX9hs2p9L88j387KPndm09nI/2ngz5h+DlTzP +eXX+1a1Df8SQ/uKTJgm15Pt5t+60fLNrrqSb531yn2n5I1HMs+tQ961VTfwb +Xf5M3twv5L33WMdjXb9sR8Hcg+JNdHdj+OFFDVPFd6jnY8DhnnttE+lq50VW +WcekUemJA7ysVydS/OGrLT3WyPfyYm7G+z3bZaRW86e1L90gjYrWDSn96rBR +yLEmVf3qRZrkWlzXwG6b+hnJMWp+76MmePe5u+3zvTJSaJuojcfex1HeIzfv +Oa0z0l+b9wTNfSLve4MdCTsBdgP0OPQ69Dj0+uZ1dfpeHZtMfZt13ZErfxL9 +WaFVR51LMr3rtMY/d9YkmjKkl9uJSwb6smTP4McfkkWK/OrzHCcZenvR7q+N +Bqzd+YRsXk6a0qaBH235MGxJJe+XAn/o9ZEfV81qeFLe77+nx/gT+o3B1H7e +4Oi1La/SsK9fQ9ruD6Y9u/ue2l7pPA1d0KxQmZqR1HJTu9Llcl6jfBPm100c +Ju/vfxCavcQfLYJpfZ+PgT33udHXuUl/hvQPpvSnZ9aNpQf0bXi2OefzRtL1 +CrH7H6a7klPIwBl9csn7/TvkDT41x6THfUzccn2qDzmVzDnPOXswXXnUuMHX +Bk9pxtLx2YulRlD4O8/cNcO8aL1t2agSLyLoos+lbDY2fpSvw9zTwXlj6fjb +zzMfPvGnv3J9+zI8WywVLvT5w9WcAQLPfZVHZAlzCKaL/fZkr791K9XLbVXq +6e1guv/n/HJN5h4g61EzW62+LMcB44JxwLig359zb63pZMJD37jWmhKJ7hQ9 +37uBvq5Jnh3pZeJ8T8pnQqt93mCBF/AEXsAT/etbPd3DqXEkFd93bfGphaup +dJmQqOxt5LhjHjDuZZyP1zlfIpJap15oufCyM3W5cLzr0wpynDHu6G/VhA73 +1nyOoLtvA2dXuuVBIQvSf4y2ihTjinGGv/BHienrv4REUMVDfdMnln1BvZO7 +xa2LluOOeYAc2L7ky7hnt+S6C+uwflbVs394GUjZZ/28O+5iBAWXdJp4oq1J +zg+rM/ClfSJ965vo6DXESDvmNelgPJZIzbPtmVYzIZEMv/28U9Uxha7XX9Yk +JTCRtsUl5HfoIu022HGw22DHoV60g3rRzseHuV5VeCrPpdT48FfLpj4x5FLG +79mw4tFk29mq+Q/3GGpaL9x2dmmZIh98Dzmw9oXtkmPrI4Qd4Tlv5sKpyyNo +ZXSP+sHDwik1YlSbxjsiaNWPkc0da8v39Rr/Hjf3Dw89FRz3V9GomsnU1LFM +q9p39NT/fK/WXfySyN++uyGHm57WxHTMW2KOCc/A+n4nvycLvxD8RJCD3O6s +FxC/Y9A5o5BzkHvIR7lDl/a36tY4icYPnvrsziu9aR3Swf6BfRL16jg+qf8T +ed+RoW7PfTsjE6mm7bM9M/obqGLhUTdrmOalcjevUp2W+VPOJr0e5vY/Rc2X +ui04PD+YtgyK2Rx8wZk2zbOZFTMmmHafGv09weaOoFPQLfgGfAS+AR+BTkG3 +d1udvNWolgOdubfudJuJct08Nk9gn4fnZZwE9DDoFnQMPQq9irgNxGNAr0LP +8jgS6FnEQUDvQA9B70APaf3zpsq5RkUcWXGPKjYpEHRQL+8/iknzW9u6u17I +6fb9m40+bq2ny3WTvZe+T6MixT907H1b3ueRkn90kYSnfhQzuMreE709KL3t +rZDwx34UtXDG9dubPcjm2shyJ8+a5H+TuUUHBMv38GbELYq0M60TPT7UHrXT +3fI9POSPWjvs1t0Dl+jd2x1HTv1wo9vbW/Zo/I98lwf4Y98T60asIzcd6R3a +0DT+q4r2q9zGtE4rv3hLvinL5b2PI9/mv199tY5aNrMO+ukVT3eCGtWIW6Gj +vduPWR1Ojic/uzK1Oi/RUYdZvnsrNNJT9ZNXLvst1dH3c3GLFpfW06SlT0OG +t8J97GfpxcGw0rmHynvhfcqElLw5QkdtPuxYv8u0Xlg45+5H4wBTfd8ru67a +kkjPhqTG1b76lPw3XI6avcOP5ugnJ0e6etFoa88yLvP8qOmYvl5T3nnT8YfN +B7UZJ9/L62q88GHsGB21HVl+fxdjAg3xqf8t+ncdHRn024BqGxNooGvlXLvH +6qjAinubdJPle3kpHjfH7J6mo0IFeqwL+6anG0VndcoyUUcuz3rUDxuYQI9e +/BXlOEO+l+e/ZlDWNtbyvbxt/a9VuNxbvpdn3f3R5TnDgujl9Nwd950IIPuV +a+L315Pv4z1y/ubWoLs/RcUte/1zgBPNzUExNRv6U9O3Tu8Wzb5FdnGbOk0u +7k+hTjMOuh2+Sy5De+1tVtufKl4IutLE5jYZfybfPmeIoa497zv/4xJC1ZrN +2xI7ybQObDu1/tYFOtJVc3S8OF9P8RmpjrbPfF3Fq5N8Lw9+IfiJ2lao6jWx +mw81zXV5Zp0OZylLw96z59fyoYV74upeGHKResXW2vGgnQ99fvQuZdCpc3TW +ttbfvQ7J9/QW7nHK2n7aJYqySzkz+ak8J9q817XoBquchB6HXoceh16HHoVe +tToW+Xef9zH0Jr32kwFD5Dsk6r6d3KeDHMG+G/bVsM/m07jwuY97E2nM0JFt +yr2Rfll+7rPKs2k9tgfr6WXnPYcLVU6i91trPBrhJPdZsO8ywndh8+y15ft5 +2Ofl798hroDvy8Fuhx0PPgZf3/XaMsvxnXznZO/gSWX3JvrR95NP0iq7uVLl +TbEPoprL9+2i7x9eMswEL8m/r8LZhk+F/TGlxf0+voX8aX9KzlXbj8r36048 +W10yYn8QjW21JqnaVD/6a9/qyo3KyHfk8va3OvulVCwVdNwdMnicLz2IPNbx +lK881wM/IfyGm4as8r33PIY8C8xtSwHyvTr0E/WiHdgjjddE/yxuJe8Hc81f +z6F1Ugyd/l68faebenLYWyj/wNk6sU7BugX5KIf1S4+ixT5Wv6CnlpeG63fk +TKHHg8+XmftPIumuLirw93lZ7nue+wtHntbTdL8vn9YWTRHrHvyO71AP/Krw +s36xb/GlU22ZYt2DddDxIZvizi+S773Bjwq/Kvyo8Kvq123o3PuKUaT9fm55 +t87dSFtuxyY2dZQp8rGvC3rqtz9vllUm+2V+1NEaTyub7JdeW46O2BEhxjX3 +6T8WdHOV77w1Pt+9y89HMXR83Y9rYYtkPsohH+Ww7sE6COserIOgd6CHVjza +Nzb6h3wPbtSO1W99TbD93DUFG2UxknVAndpjdfL9twc2YUkNQ11pY8fe9R36 +PqQ5Y9b8Wf+pK/U7eLth898eiXL4DuXwHcrhO9yrZGNfc0+TZAPZbbv8Zu6o +VPpy4MgNJ4OBnh4Zueps21RqsbiwYe1bgyiH71AO36Ecvps0sGaPLPOSKarj +D6vdTnqyCpkTXu9ysjnV08LxBaJ+PDWYU7lutmk762LYC/lenHXTrNN1bjIO +BnExA7Nfi3J0NtKAjDSZPIyx+1aPcKfhfa/Z79roQG6FbTfdNcmbhobWH/fd +SaUJDvUCljSKFOuUmrWeO7ZZKd9766EvHXh/bSzNDY+eXKXPCvIvtHx3pcWx +lCVmSIck/+N0pPx8/28TYqnThH92jZt2ndxGpl1tOjeWti2+NCOn92lKr2Y8 +Wbm4XNc4dCpYy/6jfO8t5dWePpe6xFL9xRUv5LBxpzVdj5Z+0yKW5qfW8h28 +w1PoOei9ErptL7sfvWuyqwq/embSc0lVpieHXQmiF73nPLer70vTh+T2iLIP +ou9LBg7NnuxL5V6tGnEjSK57XAbbZPGpEUv0pXilCl996OaDiKAZ5Uz4TuhX +tErPV6KfLlUqL/82XNq5sHth58LuxboY62Ssi7FOBl7AE3gBT/QD/UI/0C+s +e7EOxroX62Dse2EfLMfdNi1SZ4TQbJfBuQelxljMK+YR84p5xLxiHjGvmEfM +K+QS7FzYtXsCTQvN48l0JnDz30H50+hJjgZLs19Mpqm3vIo63kmjCtXPeJXe +J9+f+1G/5+OWE9yo1qWxJR/0uEOtK3lcPddS7utjnx92UwfHEblLzpTvrX3V +e4+ysZb3xby687N9M9O6783UK04/d0k/o3hPrnjTnD0mplGf1QGNpm+wfD/u +U6W8bm16OdM28z4j9h2Tzfvu2Ie3zpbi2qHlIbI++rbC9OzO1G1SjVcVQkzr +mC2zxnauIvcNsI9QM3+WxRXevqJRpc9kr1JB7iNgX+Hv3Vt8G+yR779hPQY/ +NewHxHEnHNn92y5H+Z5bh/5/b/OPd6fNQycOfbRvPnV+MuzF0rvuVLGDy/wP +K7aLfRjsy7Su/6HMgRPu9HjshVcu3/ZSqnkd3sy8Lh98Myy0qWsKHen+s+oT +XSId7vVuRqlHqbThx4nbTV7L994QJ1+oYJ5S1cfL99/UOHcZpw4Yce+wwxa/ +dym8fZDJXmhoePnF5Z4oh7j/HIWrfDow+z716Deq96Xc/uK7zOL6YcfAroF9 +hzh/2CWwU4AP4viTzH7OK2a/J9ZXiOsfao5LyGuOU8B+LOL2sZ7EOQTsc2Df +A3IfegByH3oA+wzYdwC/FKgcseSrndxnwb4L9lmw71Ln2aOFLU3rvByrGwxM +bRRD/Se3bXzCpJc/1U0u/X68zEc55KMc6M9qy8Yys3bqqV/VOW38BhloQu/p +K49u0tORpk6OXTzkuwXwK8DPAL8C/Azwe8APAr8H/CBoB+2+rBTlOXq/nlyz +T/PxdEqhfFmP7bu+T09D97q96XI3RfQD/ULcEOKIPu23zv2h501qeueftlPW +uNHjXtccdD7utNxl68hB57yEXQ47HXY47PJdUzqe6dJIprHdlrq/mJpElLXM +uOW1ZYp86OONnd5lOzpGT6tLLDz/0tdIniuu2nsM1ot8lMs1J/Z4wSl6iq05 +YNkT07oa5fDdudq9lrdsg3cK7tDHpXudl/7hRoXa39tu3VO+v4Z9cuyLY5+8 +XNeLNWi8vBfLxzU2udCMICoxOFdzh13yvTWsq7FuxjraY4Ff64fXTXZXgGvK +lmgDRaXVfljMeEO+n9Z/7YSWN2/Qzya1iv7cYU+r5vit92vrTPX+6lMk27k9 +wi6GnYx5xLxiHjGvGAeMC+7PntT33ZeZnfSUNKlmrltX0yjfNZd6P00w1olY +N0IuQE7sqFn0a7cvfmTMVf3U5scPxboW61ysa7HOfeb6W33DR/leGvYFsE/Q +ZdHsqhM+xdGUR1m6X95spB7Lz9W/8D6OrJJs40q+MtKBf1wXzTF9v6W/3+WQ +I0ZKXXkvxGrSDeoe3KBSpO1pis2xI1v58TeopOPAgFXnTtOzfTvrf/vgRDMD +os/mKn6R2tqG5nMteYNy1vl24fSi83RyR+Pd9/18qP6PHNX3DfMT606sQ+Gn +gN8Cfgn4KZp333K4bD43ytHXofVZ+3tiHjGvR01SsWi6vF83tk3Bpevfp9G8 +McPzXbDWU6NsZaKaPUqjV9/0lZ931Au/H/yAkNOQ29c+b7n6eYvOfK4hXqwT +sW7E+nhyTN60wN46snK8vqRcn1SKGFtpiP+dRPpeW9exzoFU2vl1wsCvpnX1 +uNfl9lc5Kt8LQz89a28/mPugXKdg3XLUdVbs28Y6eQ/kz6OT8xXSCX9VFt/w +g1MXRrB7M5Lo+Jf2tx+3gV/JQM71wpoNLCXfkeo+oP34UmnynajDJ2/0HZsQ +R9ZLnmV50Fne4416UG+RLnN+uFTSyftzzPWiHdSLdlAv2tHwfUptKrz4fv4L +7vnxpU8JlVIa5fcTeAJv4Am88xurhG5yQPygLb3+/qnl1/sRIh6yYf6FvyVe +jBD7x/i+0ZGN5yPS5P2i52xK5/5zdhCtP7TIM2qDfP8I84x5hx0Fuwp+Ivjx +YIe96ep8scjaRFpWstHv0TW8xboM9uT6CsWOlX2YSF0+dYzYFRYj4mlHbqrX +Ls97+a7Llk5/NO633U3s0z+5d8PNZpl8nwfybUHbpe7N4uW77SHlDh7uUlsn +1mlFvlR8oc+pE/koJ/LN5eDXhJ8Tfr/69yafLZlFpvw9GvS7TujoOtci5Hsz +vdvEZSv6Vb4L++TlhWevPsdQZfej1R63DaLztmd+62uCqdKPnFtGBNGw6+2p +dRF3Sk6inTl2XKQlkS+GpZnWw1qaSj1W9Dv+s4V8X6LOuBk5a5eT70d8P2ZS +zD8ihB19z6ZYsOFNBHuXMJoW1U+dvMMrRtDt7muxO7aWSKF30ddGfpyfQg2m +xHgPqphCQU3dXiXGptHn5YP/brJQvh+Q/UVVu/dP5HvBvi8nvpgTaKB2r7oe ++h6QTG+tKw+Yfk3eF7o/fmDDl4cfk23IkLLzTHbWgH/306sE0vkCC8I63vaj +g5fz/yi257FY50J/Iq4ddhbsTtihPT4cC0nzsbw/9d6wcyGresfSDed+C47s +lPejIk4W/jf4teDnWtCz4+2PkYk0wOqK3WWT/ELcGeLQ4CeB3+TCqCKeyxrp +KE8R7/R3jslUt3mbfG0b6qjfSp9G61yTaeLKAkc7FdRRuZTEQVeTDLQ21c1n +/dskKlY035gLbXWUffvbJrPdk+jzvIIvd7XX0f1DF3uNaGwg/y3Huz8vraPm +858stGmZRkUr2bxuaoyjnRPzjV55Io0qbRmSdjIxTpxTw7m1ke26f3nTQUct +3jkH7rsk20G7aAft2pS5njNPRR29+HvyAl1AimgX/UC76AfaRT+AN8YBeGMc +gDfGIbBY1oqj7Z2p5LKnox/fsaWzk9rvvHgvgsYElO5W+sBr+hJqdfipcwT1 +dal21Xt2gDg3hHNEP8aXOfDdKYJ+ZqQBIs4bcd/PR/ntaJXnNZ0vRtOMi4Jo +Urc+1buUDqDP0/bdmjxWxnkj7hvnaPk9uqCbpdmK5dy/93+kLR7kr3w2nhqf +Ouixfa2OFi//9y+eNq7/909n0qderZPrx5N1SGrzt5t19MePocFXx8bT6V3L +KnfeqBPfoR58h3rwHerBd6gnokzBFZuXRlAV/dt1izaGk+OSji1GLTKNT6Mr +hYvpwmlcXFGbyklGGrTl2fC+7+Ioudn1lX8VTyP7k9uafzDpoY/tEpZnjU+j +vzPSOPot9Ev7x75pVCvr/Ual9PLe0bkj/w3sjRP1oF7Ug3pRD+pFPagX9aBe +2Emwm2AnwW6CnQS7CXYS7KZPM7cM9IjypFx2C69YV/aidRXrVjeEPaUX1/rN +XPXzGdWvsnPoyDy+VH7uvvety/nRP3fXjxqwwpcqZC+19lBBP3GuGuesIScg +N46az1mMNJ+7aBV/dcjwPN7Ua+2L9RPXPBJ+J/ih4HeCHwp+VpzTRBwd4uoQ +R4e4OsR5Iu4TfgH4CZqk2j+f8iaGJoZ1OuR3P5yqdQ9dnxBkknfZ5pHHInku +ST137y/Orbt5+YfrUvX07lTu8E2pCRS+ru69LG/1ZPc2x7zZzxNoiOuYtAmf +9LQ0z9tiVzYnUNkpK3cd+qCnXDHF9149mkBpY/J8qtNdR4nDJ+i21UyiqX7T +i65oqTOnyRRQtG21glV1dNXr3I/HO1No7ug2ld2q6OjzypV9y+5LIc+v9f/4 +s7iOfu870StxpYFKlfz3T0cX2tqcb2tjoLE3r2XbftqN3KaNzVW25w3Ke8Rl +ye2ZbtR81I3h1XreEnYt7Nzefxxq039tkDn1J5vAddvezQ2iAjmbxSR2fU1P +jg8Y7GzSo29fbhl/xzZA7BtiH1F/rfeLmmOSqe3BbsOrNtdRUoOXbeaeNtAT +XbsStYvqaM7Eck9n+xioc27XtO8m+6r184IrrE3fp7VJbnoxWU8XzjSoPrBD +Ih01fKzeSS/jFhHHuClfvaIlBiXS5SEPWo7RyXP3OId/zvbE9GTTPDdt/nL2 +cx95XwDuUcA+GPbFomPy/FblkKn+B65O3/rraLouxtf5n2QKvdx5SWRdHfVd +9GHmxV4plF3nW710TR0NXFXpzd8NUymP4cvecXl1VGdRzjtjJ6XS5Y6Tqw7N +pRPfoR58h3rwHerBd6in2MFP6wtm09GwLo8Sn99IpbhOnslbTPbTg8/NPDst +SBX7wNgXxj4w9oWxD4x9YewDY18Y84J5wrxgnjAvmCfsw2HdMabU+JJPeidQ +kwL65Tbf9bR7fE3bz90S6EeHyLTXJhj5KId8lAOfgG/AJ+Ab8An4BnwCvgFf +gE9A9+AD0D34APvO2IduED7Cp5vRmRranr4+9ecwSipWcXzdxxE0Ii3AN8dy +fzrhMnuo/qMXvZ8eat1hkCtdWtv9e+hTL7qckbpR2j0XlxzNo6nCrfZ1BnrH +kF3F0eEDvnkLeurhdaXvXoM31QhfWe63rNfJp6f9glRdjIh3mf+w2JzFcTF0 +IjnrgVEOYfS91ZUnm2JiyOX7qnqjSoeLdR3GG3YS7Casu7AOw7oG65wBDdon +1Pn7GX2akDB2SmOZinzzugfrIJeizXblz+NHN5+ti3x52VekyNf0dRjpmww6 +vX11BK14PyCpr1cYJb3MNbzOGnnf6eAJGzou2Rwh7FzYvW8XX4rck1W+z7Bi +o+vE1TlNcqt0/JUi9Qx0vNyK3PNyp9DZRec7Vi5voMO9R9mtPBkh/ISwf7GP +Bb0MPQ29DD0NvQU9Br0FPQa9BT0GvQU9dvxJnG+5LZb3oWIdBb0APYE4A8Qd +IG4JcUxb+k3MNfhKKHW63/Ghq2l8bL8MKFqllLwPFXHXiMN+M29hyw2lk2hf +9IDUd++TxDoB64bh5rim1eY4px9Dq82t+yOZwvLv7hMz3UDfzo4eNbi4Dw39 +eDm46+tLVLavo1uf3D70bcTHg8OnXaEaufs/OJkYQ3dShiRW3BQq5AzkDuQM +5A7kIuQk1j17r633jLst42YQR/Nl8dgBt4eFU5e8Gw/1XB5BNarfOGIwhpGz +3V3yXhVBq9sOuTpqurxP9YQ5bqSJOY7EO76Pw6IJfrTH51DX1Gfe1Gbl/EUe ++/yoUt1xZ45VeEoVOq+Oab0ggrLnKtalcEWZIj/6kq5VLtdQurp4wu8VTOON +c9A4F53wPl/rNwVT6MTYBGPv5BSxb4d9PJwjSzKfK6t5OU/zmWv86E4L78Cb +t58JOwF2A+JKEGdyNejY1mxFTOuAKe4B+1okU4srYzxnl0iiwrontlULJYs4 +JMQlIQ4JcUn1O72vvGu+H73wdIyt7egl7vcMyNHjwvCXMVSgTyXn13eiaHFB +77QaL2JonHWxKyX/vf+wQuT6EJM8+j88opEE + "], {{ + {RGBColor[0.162678, 0.1734445, 0.1843655], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFUrtOQlEQ3OsNRC/naKKWoPAJUlw0ISY2lqiUlia2+imG0pY/8EHho5ML +JCY2RmxRP0E/wBlniQknZ++c3ZnZXRon592zBTPbw0lx8rJZH8EwMWtEs3rJ +bDWYHVfMLoH3gKXLZj+IE2CDRbNd5BymwphDPtaT5xVxkSo+AnaQKrdAfLGo +mNh61P2ciaM958H3DjzFKB76YV4zSPdlyewabxPkdKL4iK+huJnp3kLuCO9v +JflpId4uy88U2DvOCvAH5HWBhUz6nMXQv4lfgX8/yt93Ji+F93UfxHOaqTfq +UYuaU+cnX8t1Q5SHJ++PeNvnlHvORtRdyTQX9l0H9uG85GTf47L6JEZdeiVf +7pzcH71uem01kTdqFb6Lvt/EZ74/xpwnuflGnYnzj1yXcdv/L9zXTfyffeG7 +ne964Pumfp5Ih3ENB7+/ObEHcvZ8zpz3XdDbY1Bd1fM7vvfbqDr2Rs/0RX+F +584cH3pMnzV/Yw39jj3/M8rrF+5fN8NiYQ== + "]], + PolygonBox[{{3341, 1593, 828, 2754}, {2510, 1342, 2229, + 2539}, {2754, 828, 921, 2906}, {3505, 338, 1736, 3506}, { + 3555, 2191, 847, 3348}, {2539, 2229, 2191, 3554}, {3339, + 1591, 1593, 2756}, {2852, 15, 1495, 3258}, {2661, 1495, + 1494, 3257}, {3260, 1494, 338, 3259}, {3360, 847, 1312, + 3361}, {3508, 1736, 531, 3507}, {2571, 337, 1592, 3340}, { + 2755, 1592, 1591, 3339}, {3359, 1312, 337, 3358}, {2803, + 921, 1012, 3587}, {3121, 531, 1342, 3122}}]}]}, + {RGBColor[0.2288727925, 0.2508225725, 0.2727220325], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFVTtoVFEQvbvr27f73rsiGAkIfmKCSaPgp5JEVFDQJhIUgmATTZtNCn+F +IFiIpkyyljZJxOwWbhILP5XG3SD4QbewSKXBfaCQQrRKwHM4Iyked+7szLkz +Zz7bMVQaGMk65ybw5fDNR851QrjgnZsOnOvDV8841w2jR/juQ+7Jy4b387hX +ce6Cb6/Zb4N8J5b+Hs4jwNxBOXFuA2crdG4d507g3Cg4FwHrFORzvEM+A91j +yCmwfwBvBnIro3PWZOLw9/6MbGfNfnCLc13AaEDejRzOQr/HC4d+zPFioNiZ +0/ZY9guIcTyj/JqweY37ZWB5+E7AfhLfMn4rB7pTJkanvcXcmONR+Hn49eUU +I3mkTQ36gbxwRqG/DvspyNdwnoT+RF68MYZe47AEu3JW/D+NlNsX4D0MFAdj +IN6UyXXzfZDRG4yTuUyY/Rg5C8X/k1Cckbs26Kt5ccQcWMNeq/ufRHX6a3Gy +Tqxdu9WedZ80TvhmJZQdbQazioUxHLR+uB2p3iv2G99hzpTpOxeKC3LbsHos +ReIz9ro3DJMxHwtVx5uJeLmFcwF2w+ihRa9+Yh3WLUfa9tt744bD9yiT833g +eMTyO5yIi0M4X+L7CvlVIgzyR5wOr77d68UnuWSfpdavtCEfFcurBv93wAm8 +ciUOc1qGvgX9UqKcGCtrQZuKzQvrUzXM1LiivmQ9wnqsWZ/t93pvzvCXDL+O +8z1shpHnEGrS5hXfd69+5+wxdvLGPiZ3nCHK1LGX2YesAWtCn/T/DBaUf87L +hj2b2yr970i9Q4x1469lHK4irqsF9Xri9VYcaU57rBeYRxpu+qWWO+UNq+ln +L/uPRdVvxHr0eSJ5ONJZMn0T9nfx7rNIuN2231jnkvmzpjO2WzhDtOccXYqV +O/cEdwd3SNarr6uGzx7kDmVe9GHdORNXYvHPOnzz6rufRc0Q7Zp2p/5DUfyU +Le7jsWbuAM556yX2VMNmnr5jNnuU5724rXnxxJoxF8Y7ajNWt3lgzL+K4v20 +zT1nlVgF3NuhXyvqTj19uL+pjyx/4i5Ginc62MReMU5oR/sV2wXkiv8VnG3G +9ibSDmXvNxLNJfuYdXmRaD67YtVo1eo0Y7uLPfA20Y7/VLSdbzuNJ+/87R/L +l+o2 + "]], PolygonBox[CompressedData[" +1:eJwtkr1LXFEQxcf98u3b+yQYJRBQsyomjYKmC1gYEiEWFoIggoVutvUDTDbW +FtoKifkHgjYpdKOFSbokRhQU1MLCSgM2goVond9xLAbO3Dln7sy5tzgxNTSZ +MrNuIkM8ScwGcmYvib3YrD6YVdJ+VqS2QZQjs2VEg+AeOF+yfvaN/CBv9gzu +MGeX4L6C2U4NdZqXwN306826RtprYgXtKpp+9NtEhfwx+Q3cEvmLWrNG7nsO +d4EeX8GnxCL4nHof3AfMfpb4mWqP6B+h7yRvMtd0gSucLVP7THwAt6B5k/Md +tes6d7SlfYdDar/Ie8kT5g/kWWIX7Qz9MuCEGMs45zfcn/Q4oS5Tt8BXeZ9F +O2k3eSpvNXMD+VzwWeSRvHpH/on8IzELLsR+t2ZsTtxzef+WflVwPZpp8nbu +fwgO8P9lfYYf6P8G9+5Cd4A3qc9H7oG8WKJHf+Q7jKK/De79CJq14DtqV2mO +wft591pv2EP9iLORjHtWjV0jrTyqBn/Tu7eN/C7tpN2GOLuCvxH77OqRpj5+ +/1/kwXu4NeQNKf8j6TqziYL/JXHEfQXnacr/iP5KOXbvW+F8p/Y6+F8UR9z1 +xL2TR/KqI/FZ5KG83A7uFSPZH/B/9PRdBw== + "]]}]}, + {RGBColor[0.2607944475, 0.2865273075, 0.3089483275], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNll1olmUYx+/33fu+bs/zvAMNPFQUdPmNhUIWWFB44GqS7yYdVOSi6CSh +Ly2zbBBKmwMh6KAjqR1UB5tb1kERBWVukybrY5t9wZhQYAiFbTXL/j+uf9TB +zX0913193f/r435W7T9w7+PllNJlrSatX1pSer85pZbWlCr1lDbWUqpqn6+k +NCOBaa3tol/WmhP9UJ7Sw6L353GGzCkZvJ7JluhD4r+QBw2vT+t2yXeINyz6 +Jfn6UvYP6lvsNCn/HSJe0fpbdu4Qf6foZ4uU7ha9R/Q92ruawm+n9meKoImF +mC5pjZVSypvCV0P0mqaw83054tul78VS6De0Vqaw2Wm6txJxIEcsexxPex78 +3drfzMLHk3nIdVgGH122M+F4vtAasv3OUuigm2sfkfwG6W7VvjkPepP2K7J/ +UjJP6X7DWqNV2dDer/Mu5eW05Be0vy0M2yR3rhr8FfJbaw3+H1nEMyqfXVqH +l6T0nNY6ydUl/45kZqV7rRR47NV6UOfzOh+rBa4nHXe7+LuXhB/0sYNet/LX +EO9Oxfaq5PfVIsYbdIdW7cu0P691TPQR10KP6KmmyNc20V8r5puzsIO9RdEX +dPZAHv6xA27H8/BxLA/95eWoG+69z3dHtqc55M+LN16LOxI7ODSc95POxZTO +v6nFXT7THX5SDGeLwB2Zp4vI4YTr6nolcka+MsVR1vevqtuDRdTZmSzy3S/Z +vlLoXbDu4L91gJ1y5JB4kEUHHMCGfqOfduTRb2/kkR/qixxRI9dcMxOuL3yR +tzbT9C7xkHew6XJewB/swA0b/bZDXIPuh4ZpfJHrQcdMDnsq/+Vw2rama4Hj +aucE3p+lyD35WFu3nPmbhdUO4bxF+8c6e0L5+qQesU84fni3VgKn7Z43YNgt +eq/nzP156JTz4PW6Z7s9N5gfj2ahD5bMtl7r76TXhMEW7SvyyNGiczfnXID3 +rHEgDuIhZ/RGw/z79F2IPiF6mNqoxB2LPPgDrmvOlqbQLxvzI+6LF/OYVddd +DwvSeUuxVtXHA9Wwif7rOr9qjNuywGNlEb6ZJ+jOVCOmE+7pYcdzRvg+Ipvv +1aP+h5xnZjaYguegZ8Fe1wy9Rk+BKVhgj5lx3j1Fnd5SDRv4oY+4422VqNER +Y0VdklNmBFjcVYQf5LFJjzJ3kOU+3GttFudTtgn2ZePP7Jlyz1LXzCT4Q56T +vxfhE5s/luOdmXZ9kpPc+Tpbj/tdaQnc6EPy3m8/5OiCa7LNPY0es73PfQs9 +5XmIfehpx3zKmIH/piKw2ljEvcCLM+bfpOJ7zfOcuIkZTM6bZuakatTrb3nQ +R7N4l2adG+46bnnyOmbMR1w3xMBso374pgd2uY/GPe/JO33Z7fee2IgLTC63 +xJ0mWkJ/uW3if9y607YHn1nLzGX+NNzTYEWu4FOrf+XxDvVmMWPnPMvQ5d1C +vtnvynG/lWABDqVq0OSIXufNRWeNd/xSL8ghg892x0ONtPstA+8Fz016bsEY +gi2xzbpWRh0/eHxbDUzoJ2h41M9F9x7/R9s8s/CFH+qMd2l9LWbp6tbI+yrt +y7Q+FX1jFvYu2v7VIvSoU97u9a5h9g3/o9fZ5qjrs+G3Zp175Cv/y1X8Vg94 +HjXVw8678jtSROxdWdQ+MWPnQ8kcUGwfaJ/UOir6dBa1CR+sDvnt4w2k3n6u +Ro30ex4RU2cW9vHDrCtqMe+463fGjb7BPnV2qQiZuSLueNj/LWAEVktbQ3fG +WJFPsCa/N+nsB8lsbY2+POzeZBbT//Oyea6IOD8vot6Rpyc+KiKexyT7Dyzc +iKo= + "]], PolygonBox[CompressedData[" +1:eJwtlElIVmEUhj//ift/97s/WXtBIYWcaITmCFo1KGU/tKhAxWqTFGQWDSqE +kBEEQYuW1aLapGYtGihoxsisRRO1qKAgEYzSILHn5bQ48J7vnPPeM97y5vbN +e1POuQYkg/wOzj3NOlcG/gX+4527Ejk3lXNuZ+JctuDcZfRPBO2LnXuOvZh2 +bjXBLehD6HPRa/B/nZiPfNuJuY3ehLzB1o0+gO8dvvGO771HdqNH8G8h/iP2 +BeCRPHmgf8P+EN9+fLoi4xDXOt6asJWS7w98a/leNbmsQFaB2/BfDD6BHEbv +RMbSVutBcD/xxRKreQBcCWcB4xl8xoktJ4fRyDjElUe/GVmOyrWemGXEvkWv +BjfAuQbfGP0i/hPklEJfjqzEdiuxXgyTfyO4l5hLWathIf7zC1Z7C/7D6DuI +GYGrCtkO7kJOY/uLHMV+KFjv1fNOcCnxD4g/R89ngSfwn8FeAn+3tzfZVFMF ++Dj23oz15Bj4Bjm1/Y9fm5gIi3N2wTjEpZp8bDPT7BQzhO99ZD94hpjP5FOv +edBrh89P8KNgszwvTnCXN5tyVK7rkQZwH/KS3g1i74lsJnOwvUpsdyrI9xq2 +Zt5aM7aD2kXNQLNYCmcteBIJ6Nv43lZvM9AslOO9xHqsXmuGdfjWBIud1L54 +67F6rZ2qi+1Nth6kA30P+oes7bB2eRNvjdhOasHARW/fls/dYDWr9u/oT8CP +g+FB/BfhO41cJbeEt2niDwTbRdXYEYxT3OrRBnAl/s9KbEfK0C8gSzL2VuXt +ZnW7utkpbzPRbAJvX8FfgmHt7ClvN6JbEccubzWqVu3IEXAKvnk5m4lmo5yV +u3ZYu5xN7PZ1U7qtVGy7q39Ijv25rhnljENcmqFmqbc0+ou83bJufDSxG9Gt +qCfqzXje/k1n+WYEf5+3XqnnG7XLsdl0I7qVOLZb1A6E2HZKu6UbHgP/A+lL +pCQ= + "]]}]}, + {RGBColor[0.2927161025, 0.32223204250000004`, 0.3451746225], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNl1uIlVUUx78z5zhn5vvOHErSgsLUbNSZ8RqpYUYUXUDHUigvUFrQWERp +RiWaZgheSDCthxpRQn1RX0TTMbUwil4ciRmlB2+Zlo2KGiM5Gqn9f7P+Yg97 +1p79rb32uvzX5fR7dfbktyuSJBmXS5K86FH9uah1ROvbUpK8q49vpEmyUuuk +9r/r7AvRX3skyS/iPy56Qmt6RdDjPm/M9L/OPtG91bk4/1S0qZAk0yT7ei5k +nDD/yHKS7KpKkirRWn1/Vquvzu+XnEPa/ys5Y8R7TPvJWq1p0BHib9X5Aa0h +4r9UlP5aO7Vm6G6dePKileLr0r5C+6nivZoPPV5Pw0ZsrdedH6TDXP3fS/w/ +aV+v7xeqk6SnZLeJHtZZXvSUeE7rTlaZJN/XJMnMytAfnebo/x8la67oAMk5 +pPMHREcXYo//moohCzmj9W2e7h3TW3nJ7Cn9KkTP6mxTRfiqSm+eMX9HVdw9 +re/N+fApPE+XQ7enRJcVgx/7F+v7K4Xw6Z6K8NVU8SfF0Budm9Kwu5/ufiPa +IP6HRWf5fL78NlhLV5PDeqOoda1H6H2PdF0k+pt4x4mnQTyd6JsPm4nv5Sxk +DhPto3Wf9rXiXyieWYXQZ4fkdWm1VISeV7UfJXqoFPu/q+M93uU7mONdcEUc +0sp4e00+5GPvHeWI6Z3lwAH+eLQc37qMMWJMrO/S+ePieURnw0X/ScPvjTqf +WAycTddb30mfg9q/qO/3VsY52IMeNM9Gkko6DBItSVZe+0x0Rz728K/Iwv67 +S2Ez+mMv9nCOT+ZVxRvwzymGneQh2AXDN3Jxt3ArXoXwEXefEP7WgkvRq9J1 +q85n1AQuwWdO727S+STdeU66vJQFTl4WfZN8036s9j+nIbe3+HfpXovWJMma +XQyd0Gew6F6tKXr3Hd1ZIP4e8tsH2i9BJ9GBkrNN+43at0rWBfyF7dJnluzc +LfqCfdql87Z81I5VubCjuTJytbEY8cDPiyRrhWR+JHozFzpMM5bwC/5szcUd ++IkRd8mBGZVhDzlG3dhlu+pE18Ej/teKkaunHB9sHmV7+YZu5GGTbW/yOXv0 +Xa/9l5WxkDk0ibxcZpnwLrMc8ELdAjPr7F98u8v1DD2JPz5HF3KXWMyw7PXW +eUw54kXc5jnnwUOtfPqQ7B5YCr+CM/RB/iW/gR6rfQ6m+hAX3d9ZE76nXuK/ +RvvwvZrgOVIdNZ675Ds+3Fe8jYt9jgu1DezRbLp7jX1+0Tqw3+kaPsh+XmV9 +ltm3p5z3C5379If2fOT2cfcizsED+UEsrkvvDn1/XvqeFz2ntTkf/QQ9ePd8 +Fnm7QLyflQJDn5dC9722hdpInlEj/qqOXvJMKfoW9b9atL4UvWpYKfKHPNqU +RX+pc4zAA7gEk0vS8HG9dNtfEzVsnGsG+U/uU1uxuX9N9Edsw59fl8Leqfq+ +rybyjvzbr/OT0uGtNPTdbZ33WQfukl/UaOIF3qhNQ7zf49wh5uC4O3esN7EY +YhuxdZ1lck6trf9f7gx2LoAX7oPD9c4vZK1xr8em/q7V1GziQn+iN8GPDsjk +nXrr/6f1bzMOWo0TeNeav9m51+1n+eaKZ5tprp30zc3e0wuuZ4ET8AIGwQY4 +PGqsfFURWLhpXN0wzrhLPU4sC92PGVf0NHKJekTOkq/ME/R39uR1i3sx/OBo +pnnAI+/Td+Fr9uzUYhw2eGY7Yj3r7HP80Oocx+d832BZ+AzfHcxFLZntetLQ +I/omMaFXb/cbvYWrJ/W9l+j4cvT+CeXw2znrMyUNHIJHzsgx5j9s7MyHLdDL +Pt9iHmQMysebtZZ31jLx2W7rAH+H75LD7Pd67kpcN9ptV5tnInQmzlv8DjFq +93dqCn0PzFNjVzsfumuXZa0yxtrtK+gh75kdtlrmeb+BbjeMJ/S/bHs4p6ZR +34lhmoVvP04j/mftnz88T562Dy/bF1stn7eoJWeswx73CXIW3NGHbmEy8R5s +1vru8FLwFEQnZBGPJAvcUpe5c9H1EJzzLvWEt096VuueWQpRm/Adczk+manz +G2nMpo8JG8sLkW/gjnxlhiRnmY+oKeTj0kLMh9iDL/BJp2fDxZ7fPsxCl/ez +WOznpzGPIrPJc8pSy2GO4HcFMzazBpgGW+PK0XfHig4t3f4N8aD2I8UzoBQ5 +0OKcOuAZE98yb171/52O3WJm3ULkCT2hLo2Y9C0FXrdbDjWAOoneKwvxVrNj +2+n44sd1xiHzGX6/load3GsoRRw6jAP6E3WhLovfAcwcxJW30WFwGjlF3KcZ +5wsdL+yiFlMT0AddwCS9tc6YZ0Zo8rcWz0XgFH8PskzqyAbXJX7DnXTfTYyr +iVlgabkxMCKLXKbX8f8V16M2/7Yan0Udwg/0HebQLveGnuWo58yzzIzk0a35 +eqVzapvrFvoxD/Iu74MvsEBe/weJ6wHv + "]], PolygonBox[CompressedData[" +1:eJwllEtIVlEQx4/f/fzUe68XsrKgUHw/+spHUPawFpJBaZHQS+i5SHqHEgmm +BUEUuatF5CaoVm2iyIKijKJN2kKFIMKkF0Io0Ustevz+zGLgP/OfmTNnzszJ +23u06UjMOdeMxJG8yLlWDE/TncsH3wmd6091bl7Cuc2+cy+RfTguxlYM9wa9 +3XOuBVsN/lVIE3ov8dXgoQznuuOWfAJcETiXBNciq8HFxM8HJ8mXS77HyAj4 +LXIIbj0+WYR/JWcD+AC2pfifRToCE+Ea5CDcP+Qc+DzSBVdEDcPUMob8hduJ +bQ/caeQ3el2mc5e573P42ZHZxKmmHHzbkE7wJuQ63HL0Us961IJ+Q/cn1oMP +4RrJkc4938G3opeE1qsrxBSAG+DTMqxnS8GrIqvtPXol/KzIalFNM8EV2GpS +raeLwJ3knABfhT8JHsA2Dn8N/TP6hsB6NYLeCC7QG6Rbz9S7/Ugb3AAxj4iN +h3a2Q3rgJkN7a91Jd/tKrUno28T45HtCv4KE2frAD5AxYjvI/xBcic8yuPv4 +V4GvIbfi1jP17npgbzWQ4ly5eu1bbs3EN7h25Ezc3lBvmRHZLGkGxqllBfqn +dOvxL/hkaL1QjxaCNwb2VqPYuuHLA+sNtCsLrKfqrXpSCN6NbYjaypFd4MPE +jKbaDGoWNYOaxRb873G/FGzP0qgHmwfeBt8cs5i+0HqoXsrnGP5bfOu1dki7 +pJnQbHjUX8/5+fh0eZZjK77Zoe1SJ7ZR9LU6g9jt6PXglZHVqh7Ugu9nWm26 +k2b5VGCzrxnRrPRi60nYm98Fr4nsbO2EduMSOe+Qfwn8OvBruBy4ODm+gxdk +2lvKdhycGtlb3yT/lG8+8p0kxyDxQWC7oJ3R7mjntfua0X74V+hTnt3pCziG +z6RnO7kDPIjtp2czcAJ92rez5JPg7Dmh9UY9mwu+4Nusawb/4B8L7W10hs7S +n6K/RTNY4tsOahersRWBZ3OnuoT9afrbCkPj9Gfp7yrF9iLFepgV2R11V/Xs +IviH7gOeRoZD66F6KdtQaG+mt9MZ2Zz1IbTZ1A59DC1GsfoT1pO/zLfd0Ezm +cp8Zkf3FqkG1/AesTbi8 + "]]}]}, + {RGBColor[0.3246377575, 0.3579367775, 0.38140091750000005`], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJw1l1uMXlUZhvd/nvn33r8hw8EbYlpadSh/W4QE0wI3RFoOCjHUtrTVofUQ +BZQYqPFwU7k2JsyAB1rohQeiM9WSoS09jN4M8UI7hYpNgESaknhRpNMEscMF +8X18317srLXX/ta3vsP7vd/ay3Z+54vfbhZF8YVGUbQ0NvTy03ZRbNP7RK8o +uiNFsagPB8qimNP6osZ93aJ4Ts9JyXRGLHNFpygmq6JYJx2vadyu98N6Nur9 +pN6v1Phb7Z2Vjlmt36JzTml9udZ/r/VnKq8/rfGfo973rOa1zh5K/znJb9b3 +pmz6ksYl6Rnn0foOvbd6PvNt7b1Le49J52rt3c05svMHtfVc0veX9G1ee1/W ++HedsV7y/9H67/R+VOv/1rhN+ya174y+vSQ9s3oebNk3fHxf8hM6b6g4HJPs +ce35i/YeLR2PTuK2t3IcfllZz5Oyc1vL39qSudCyP8yXSe+fJPeE9D3aL4p3 +u5bn3O9pbdOI7Tpd2ee7K8eTWJKv3+jsQ3q/Wet/1TMmfe/Jzl/U3vvz2jrP +jdiGduzkXOKxrum4k9+9er7csI/4xxmHEzfit9CwzG2S/4TeryUXsvl817kg +pvjV0HyzzrpzUBQ/ksx3JXug5flMy3EhPs9pvF77D2r9V5IZ17e79KwBP1rf +ovlVsv9hzR+XLT+UzB7J7mxb7m2tr5Ceq6XnG/r2Ta2f0tqzesaIr9avro2h +OyvHHbvA341ae7HlM8B40fT6023njFjxHV+Q6UnPVn071Pf6wegatrwO3iZb +jgm2fSs2X6cYzEnHCT036Ol0jKvtkp/R+3TP8Vsu+z6mvXXfGGYOjuf0DJMn +bGnGns/I37tl73817tTaRa1N67mxtPxajWvBuc67fWC/Oj37Bj7AyelR60f3 +Br1v6bqeNgb/7Z5tXam1bs86Tna8fmvhsZM5tUGNvDFq/5eSxz+GQ+ASML4v +GDsuP9dI5g6tv167pt4aNS6wgXpGx79GjB3wBf7B2LHs/fTAMSW21MKO7MWO +h7Vva9e+DXvOAbLNpuV3NBx34s9ZJyLDOjEGM8R5cdS1ckbjvNZf0XNWOnZl +TuzPjjoX5ITzieO6xHNr5tjBO7GFY+ejZ2fm5I/aosaIz2fl2zvy4a2+bZwJ +J1zmDrCHjcyxb6ph7qI27xk4TvAc3IYsXPxh37FcPzDHngvf3SQ5HV28Pmp+ +IY5TGj+Cj8j/wHJT4canMucsYvpU5rcNnK9bNe7VeE/X2IAjp2P/VQP3kTtq +cwx1w344aia1QG3B8dgM3/+66ff9PeOHHvQQ8eu5B4GF4yPmywc0fn/E/j2Q +Ef7kGyP2g4FG+BPO4Z28Pyb5XsdxWd0zbjgLHsRG5L+mHE9pz0XF5n59v6/n +mnikb3zD5Qt6P9VxHg/XXuf7vspYo1/Bx++Ek4kTe4jVoG9fNg58/vOxYSH5 +hTc4dyH6/1z5rC19x4YYgSPqFru2h7PRQ47A45bUxZG++WtTbc6gZlh/ORzU +rV375BLbuCMQt7Wpl2Zi2ErewD7fWaf24aNG5oxF9mL7yfiL7cQHX4j548kF +8/kRv4OR3ckdvDiVHo9P+xOfxdQGZ7zacL6RJ5abgg1wCAapVXosmNsWrIEx +agA+64bT3i2NQe4y8D48/4/afQi74Hg46P/4S63AC/S4r5TuUxMaW5Vx2tB4 +y8C5v3dgTqF2m5Uxfyl3GzBFjokJuuAIYnld5b71qcr1hD/gaU3uCvhNL6UP +rUr+yOPRvrlqVzgHbNCHiMOF0n2Pexl9mh79+fRt/JlJf0MPeaCPwjsbKp/B +WdQQuVqdXODHUnzhXjSROqVmJ2LD+6Wx8IfSPZve/fXSPIgM+Xwl3Ij/Y9l/ +NpxFjW7PffWh6CfeS7lDgLH7U5sn0ivh6fOl7ftbeiN6L/P5V6Mf/I6nf1Hn +4G1Z5ZzjM/gcG9jnKzVeKh3PD0rfra4IJ1eVfcTXI6W5n3su53IW8X2stg3c +WT5eud6uqYzBlakRcjrsONYzwS04Pp0+vkLyn6zcr7g3oXt9/IJr4QVq7Gxi +xXncM6ilMzp/qXT/P1Q6XuCP2MKFnXAI8e5lPl6al68vjWXsod/Qw+ETeP1o +7sZzpbkeO47U5tJj4dMnavPRKo23t81B3Ee4X4FzfNtTmnd+XDoH5GKx7/pn +DubRNww+n8wd58HwPvwPXqjrdr6BkQPJbzsYoSZO1O4Bc7X3z4YruHe9mPse +2KFWsW1z7oFwBLzDPYd8P1O79/ysDrdK5nDffWmYnrQ/3A437wrGqbW59B0w +Rox/kv4Hf06H37q5d3Ef4765J3fOmdwB16RH35B70fPRCf/D0XA1vMHdGR1w +4Oa++9By2bsi2Abjb47aJ7A8mdoaT/xmchb5Px8MHMy9eSz9Yjb/lVPp83Ay ++FpIL5tMb8M27l2N/Ouxdl84cD68ATdQB9eG44a507H30GW+0XxleBK+RGZ1 +4rk7HHn5DnMq8+n8A/IvuCr+If9B/vfurVxTu1KznMN55P2F/H/xH0ZuLuT/ +gv8s/OAdTmjn35C7FDo+N3CuLianjIuZ04P559oQjGEbOv8HPrnfsg== + "]], PolygonBox[CompressedData[" +1:eJwtlElIVXEUxo/v3edwp4jU2kRpWujjmVJh9ErCKE1rY4WKRCENhFQSuWjY +WLRoES1KKzJXQUHRAOJzpo3UorJogmqRGLTIyE32jIh+h+PiwHeG/xm+c+4t +aD3ecCwiIrsQB7ntiTwGxKMiSfCMK3IVvABboS9SgzTGRAqInckROYq/gwSv +sD3BV4K+lNgE+nL0WXLEwFnIBXzxQKQ5U6QtW+Q8+g5i9uOrJEc9+ADxrzOs +5kFwIfH1xPcQP6m9ELOX+A3UvwL+EFhvZcQP4q8NRUaIXY0+7NobfVvMmyXE +l5MzQXwVshnsYFuEL4mUg39gG8KXS/5pnR8Z09nRf4LXEtOPTkuyBryVetPU +OottG3iLZ7V1hmpwFJlDb8W/D3wOuQwu5/0n+BtDf4Zehz7qGefK/Un4aKP3 +naHlfoDtD/o6pM+xHJ3E3vGsV+3prmecKrc6YwV6Hfy0kGsPthvg64Fh5Sgk +9jM9JDJtB7PgIuWDfBXoxeB7ns2unNwHL/aNyy70i+hd6H0x60l7053r7vWG +StF/kTMptrM3+B56Nrty+gj8Mcd2qTfRQW9neDOHL418x78iNC7G6bcInEGO +heSazBI5QXxa+8d3CnmKXoZMRcx2Ghzx7Vb1TdS3G9RbbMc/iv8QNY44ti+9 +vTj+l+Be+smjXh4xTVG7+Xzwb892pTedBg8j28V2OALuo8ZEzG620bWb1ttW +jrrB+UgRuIWcE/g3UuNbtt2I3koytF2rbRP4hW9c6E6eg8cC611n1Fk1h+b6 +im098aXkKHGMQ+VyyLVvoxk9i/jc0LjUGXXW6vnvTTk4DF7l2+515pX6bXp2 +u53IX70X12pNIZXkuklMLb2leNPj2w50F7uRbvAg78cdixkAV4X2rek3849c +A4Fxrf+QFPh9YL0m8A/gvxZYLr1hveVe32op57fATa79e5Rz5V571F71H7SM +einXcumNvwvmb9axHXzR/09os+iN1oPfck+XHOOwxLMb01vTf0Q7uB9bjdhM +KfB/Qm2m9w== + "]]}]}, + {RGBColor[0.3723175625, 0.40476015, 0.42477252499999996`], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFl12MVWcVhjdnzp4zc/acuaotiTG29kpSDgzYC40MMIDFQtWYqC0MLfLb +K9qkcGPohaY/emfUAQ2td/YnSmlNZQaBlmFIKcxACwNlKNOLJqI3Sluj2BSG ++j68b9OLnW/ttde3vvWtn3etfceGR76/rVYUxaOziqJD65LeorjWVRS3Noui +7C6KC6I36Nu8zqJ4vFEUba3vdZr/t5rXqdDsYe9i6ThSL4pRPX3SuaDmd+gX +q6I4IHqJZEfqpr/AuaXfdURxo275O0XPqZmPzCuVdS7X3lNax/X8UPyDWl/S +/rk163kxuo7q/Q2t39T6Z+0dE/0t7R3T+wnR/Vo79BwVvbjwOhaaPej/gehD +leUPah3W+kJpuzpK7+Fef6psxx+1Pl+z3Gcyf4ncRfntXT39kn9Zcq+Lt0/r +Xj2HRQ/Ithv6fovkL+r9UN18/IB/H1SAVot+SPFYJvo+0Stb8ofo37TMWx7+ +ng6/c5eGnDrQ4bvi21dK+7es2aZ6zb47lLPulh2z9T7UUxQ7G7YZ2Wf0PqK9 +e7S+EF88r/WIngnR92jf3pr9gL5ruQOx464vl86F4cpx2a/11Zq/LYj8vtJ7 +HixtG776ouha6Ts8qfy6JP5dokdrtmdRzXmJrdh5r3wxovfdWn9Z9372Liud +N+TMXbL1Tem6rddxnkisz2vPE+IP6/ug7Fsv/q/Fm5G+63rWSGZA/KXiL6ts +C/LYeaJp/xOTd2MPdq6R7KeS6RN9tXROkDPf0NmXxf+61rZkOsV/veYcrJeO +3S7FereeKdH1XvOfaPrOp3OXVYrHQ+Kv1vpp8gc7Of/x2PBxZf3/q+ybYT2r +JLMh9Hqd8SXpXyHZ98kl7dvX+XntQpMbS8R/qdPx5Zwb8Qkxg0+s8RV8cnh7 +p21CBnnoWR3Wxxnky0zdNGfhY/ZfEG8R3ztdR5e6Hcufyf7Neh4WvanyA72l +MhaBTeAV63To0w2/nxXd2zTvt7rjl3XfM9pze699MB0/bJOuLp3Z13QcLyUP +wRTsuYlRsZN7UZfYsE7rtQ7HdEjrnZX9iV93JUbECnwC99CHP7bHJwtbXndq +vSgdC5Mz5D41Qq18VLq+8NuVMjVYM9aBWeTwgdIYR44QE74TF3zOPuI4lLwC +T7jTczXfazx4SV5dCl6RP+ckO1/rllnGEWwhh+FvSX5e0d6nxF9bWPdQ+OfA +VPEfKJzn5DjvZ4LB9xfW3Rf9+I73tbETvAPTppOrxI86B7f4xr2OBEOojz3B +PXJ/Z3rW5bpt3aznRMP2UVs/rYx1YB5xeKzTNuCTkWA49dsXm34u/U+Xzo/x +5BXYDJYgh+379Qzr+fEs58NQ7jIZn3CX3wWjwKrryff1wXXuhP3wsXFNelNH +fM599kf/8bpxkJhtEn9jp/07GDvQtS72DOYZStzBqhXpF+wfTdw3pA4eiP8n +E0fuPRn7qalTDccEn56LTLv0WZx5smFfU3fgJXWCr7a23Ic+om/kO/fEds4m +NyYTq6nkBvrXptbWpQ+S13OS21ta7h9XKtc0ficXwQywnxiDMTOpHe41GP+Q +ywvi273phdQI+LO4dG2Ae5+k1ja3PGfc3WNbBmNPPfMEscOv5Ai+4vxX8+2x +xJR7MReA9cS2q+E+Td/Db/gJndQwtfyjwn7dn/Nu73LvG03cFiV2yPZH/ict +50S75T62PDNBV+n+C2YwC4xm3rqjy3MOOjinTH2BARczA9zTcn39p2ke9n5W +h/Xc/aR0HIsdD7fc7/5b+f1Y6v1YMAB6oDQuHEtPWxT7mQUOZ4Z4sum8vloZ +0w5lxvigckw/rFyLp5OT5NX15PF3tPcdyZysnMPUMLnFPDIT3KCO8Cm+3B2M +wP8jTc8c77Scp/CJ38Ie58bXtH6113g9p9cx5wzizvfbupw/t6Sn0FvAZ3yN +n8EVcB7MeT+2Ife9pvvnqcq8X8Tmf5euHfLzXsm8jd8kszIz8ajo4y339o/V +Mw9XjsdrlfsP8epPrkLfzNem85m8bidnXtO6tOmaorZWi54UfbzyrP1J/D+U ++YYa/aC0PPV4tdvnTHc7tzl7dur66dzlgHQ+pbtfaNmvJ+Nz/ifAC2oADJ+X +HkRcwRxiSq2gF53U+bVg7Hj0ECtiS7+kph9t2r+jPc6zdnrSRHDsbGaG8dCc +OT/n8v10+OgeT31eT56RD9yvK/XbaHnvX3Xmsz2O9++17kivJ9bU3NXMgcwC ++A6/4Q/OBtt3JY7EEwxp5L6/Sg1Si8QBbJqbeCJDTNHRjh5qiLwhZ6jrdmq5 +7PFMdjR6mCfAt+f0vk52/KHlu0/E51sz9zL/0h/BR3Kbvo88cSDn4c9JfYPn +9BFqFjvR/4j88g/tea8yHm7PHDVSuQ4PaH2r7nkdTDsLdpXGBOas+aVxd2mv +5+q50jfFv13ps8h3MIU4UzecRb7xHRxAhvtcCD2TWZX3icq6viudzzQ/n8sG +MoeB48hNZe95rStK4xh1vCPx5R9xcf4T6YnzSscCDG+H5h7t3IX/j+7S89uK +pjET7MQ3OzIfDgXH+S/5So91fijZg/lXX9nrs/Ep/YVZaSTz0q7w8TN9dlPm +/9ldrn1mv2VNY8vW5Bdn0S9u5m2XbRhrmX62aax+K/8gxJo57/7Me+dD4+9z +8RVYxR7iSDzfDt2fWRCa9WzoNyrTq5r28WR0DmdOwH54Z8I/Ufnc+yR/uOV+ +Qd8YSz59u+l9G7OXvLic3GD9e90Ywr6NmUPgXQl/uvL7Nun5Z+Wa+Vfl2eRy +ZP4Py9xG/w== + "]], PolygonBox[CompressedData[" +1:eJwtlUtsVVUUhjftPbX37HMvEyJNHEhlokZegkEIUEpbREAhJMaEBEWiog6A +QU2MARIJEBhBwIIoOBPwxcMEaCmllMqjCFgepZBilAEwUV6BijaA3+/PYCXr +P+ux917rX+tUzls4a0FJCOETJId05UMYWB5CVRLCyCyEw4UQBqD3Kw1hcxrC +F+B5/UJoLAthE/r+GMIEEnQQfAB9Gj5n0c8gR8Dr8ZmL/hXx69APIu8S20pM +C/oOfHaRvxWfXehrOHMnuA9cTa5v8JnDfW6A68GvICfRf0Fa8Z8BvojerW/g +tcTvJv4huAZbRTGEEZz9iBzV6GOxT04ccxL/JeQfie0S8hz2PXwbx92OYt+H +vjdaLyfmH/QF5LwGvor0RN9Jd9O3y+AG8lcQ/zb+G9B/p56DyH0MeyP20Zy3 +ssRv2oq+hfh69I+pySjwa+AufM8jx/EfQ466xN86wH+QrxL/Jr5twdYcXXt9 +k+1lvtUm7sFRbIsL7p3OaEdfTv4c9nbsP2F/Ffwr+mnkMPgl4idir8C/Hv9O +8G3wA+w3sX8JHs/9G/m2GX0gNTuObwNnPImew6cP/QzfngY/X3Rt1QP1Ypl6 +lHONPkP/OvNblFO5b0f37g7flnK3e+BS9F5kWeozdNZVco5F34Z9H/43sJ/W +3fFpAn8LXg2+m5p7enMO/895U22pOdmA3r/ofvSRbyL6kNRcmY39TXJ/jzTn +XAPVYlTm2diObMW2M5q7JeC76JOIb8mZw+Jyt/pNvneYmQK2v/D5F/sO7N+p +v0W/RTVT7cRpcfsUMgX/W9G114xoVsQJceMC8npqzov7l5CZqTkpbl5HFqbu +qXrbiUwF14Cr0S9y5gHwh9xxFbmvIIvAJ6Jza0Y0K5phzfI5ZDr236Jzr8b+ +UeYaqVbiwAvYXwQPBU9STvh4gfevkI337cU+OTX39mDfSPwU3p/kvVOK2KqK +7oV6olnZWPCumcZu2oA+Ap9ybHXkG8xZTdGzpZnV7GqGNEuaac32qejaaIcl +nHeL+GHoQ5HKzD1Rb/TtGfEPPBz9A2LeI/ZvpCzxm/S2ldjziXfQoeg36q0n +wC3g+3nfVTvu04LfrLcPBz8BzjjjqcQz0INvb/Qu1Bn3xWX8l3P3HvzfwP9K +wW8VZztSc0bcESd/iK6haqkZqcM+GlyTeKbbo2dAs6CZrtIsZJ5d7STtJnFY +XNYMbY/uqXorTogb70fX4i3O7yR+f+q3DEPKCp5Rzao4/yO+bdHc1R10l4PR +tdE/Qv8K5VAucXA+eFDRu0L91iz+HM1V7TDtsumZd+kEatrLfY9Fc1E7Ubvx +WWK6y82hZnK3ZeayODIgusfqtXqq3qqmqq042ajdHf2vuYl9cWqR/v8Oid4p +2i2a2T+jd5B2URt4N/hy3ndTz7oKrolqo5lvwrc2feyb+N+kmdPs6c66u3aG +doc4IW78B+0nFTI= + "]]}]}, + {RGBColor[0.4261152375, 0.45590017000000005`, 0.470918195], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNWHts1eUZ/p3DaXt+twOahQnRICs4FLZyKXIxGbQU2iKU0rosTkzmZcAp +d2TDbRQ3d8tgBaUzgKLiVCx2Yi1iMicXhQKlFHTJKjJ12SVuS7Yly+aWdDD3 +PDyPcX98eb/f973f+73fe3ne95zRd69pWp0NguBQJgiGgC7Dx50YFzHfGwVB +Dos3FIIgDYPgKozlGdGrMQrYu5DRHtdbQadifKEsCNalQfAy6JY4CDryQfBX +jJfw3YzRVKY7rsiwnDk5yeWc+38B/+IyyZqF0QH+atAqjM9nRfm9H/Op4D2H +EWM+EvQAxvMlQdAF+oLno/CGEdjPQZ8bMc/inlboWAMZczEOYK8WdB7G9Kzu +5N3js9JxmHUjL89MyYqXZw6Zh++hLaj7WdAjec2P+C18Myltewz0KEYFxlrw +nsEYatrreWcpdMcoo26QsR/zUsy/j3E/xi7YvKNU66/hex3oWozlge7vsw4z +QU+Hsuu2vORSJmV3WmYz1l/EuAXzG0Kdp+4V1rMYiFLv3bi3u0z+PAb+3eC9 +LZTd74KNIqyFGPPxXZ/X90SfpbxB8AwxX7nlUybjjPH2VCSf0p/LMnpfh/XM +hJLLvfqs3kvdcjj7HNb/GelOxlzoeydZ/uQyfd+bEeX3rzLSa6J5KK/C792K +u+ZhVEJWMaNYZ5xXYu1boez3TdApofTbhDGA/Xdwtg1rtaF0OZWXDryLcTf5 +/3So8JyxOdY6jAF91HL2IUY3Q+60VPtjzFPuOXmK/ub8Jtx5H8bbWLuEe6dj +7MG8N697ef98jCW477GM9vk+zumHcr+9nfESKi5mFvSG4aA/w9okjKchYxHW +unmecQ16EGMG5hMivfVLyLWFzHvGEdYTnFtlHGAeUC/mQofX6C/6mn5kPNM2 +7bbPaOBDf15xS95u85MepKwhir8u5zvfyjdTjxM5YRFjexN0GBUqr78NOjpU +Lp8CXWM82oxxfSiceRD0M6EwoQP0xlA+/hpoOcY9mLfkFPfUJy44BwryOe02 +wnl/xL6gHw/n5eMzzlvm7NQSvYU5VZnKV4/DlidS5czvQuEX5c2A/D7QEtw9 +F/RF5kZOdn4vwVnIrAVPVUF2uMb6THQc8izPfRX39hPLMJZifo5Yw7zDfA/u +vg9n38D9DZjPwfrpWHnL/GVuHs7KvrTtAvBUg/aAZz7mVZi/gXkd5rMxP4r5 +M0MUO7RbUyo5T2B/JXTeivevSLRPPvqadYGYwLx7Enuvgmcv6Mux7j0Iug3f +nVjfAjo5L7sxZiiDcUM5vZGw77e4szzW+iSsLce8Bbw1oGsi4eqvY8Uu7fQ5 +rH2QVc4wR2hn2nh4IB/T17+MFH+MA8bA+6F8eTfu2hepbmyAvEbMa7DfF0tf +xilUCt5KJPcB7A/LSW/aZ0pBMt/C+j8g8w7w14P3K5C7E+tbIecI1u6FjPUY +38jqPM8+C77D2NsH+nPwL8dFr4I+je/XsP4M6FMYv8D8p6BfjoQJA5C5IVKN +eRb8/2aMg6ch0VsHjdvMp532+9XuDVj7zuO7Lqt43pGqbrWninXiIzFqwHPW +rxX2+x9BV4fKQ+bgrcR5jAacrwPdjrEgrzo2w7WsAXQhRmNe2LDN+PAQcTcU +9txlW9FmD2Dt5lC9w3dAp4Wq5RtzigfanVjbWip9iT3MTcbSk5FilTE7tKD8 +vb6gmKMvfww6LlUcfBjp3HqfZQ5xzly/xvl4U0E2aLUdnsP5o5DTmShPmePE +ee5TJ/qDeD/WteFh2iMUBn+X+BSqH/kNzlfjLW2RfML8Ye5Qd64vc6wz5oeC +57MF8WzHfK7XmROMV8ZtGgtj9xjfGF8bbas3XYNZL8bHyonziXoXxgLr5Q7q +GKo+HHadYI1oxtqu0P0Z6O2heriJoWoMMWAxfUtfY31cKPxl7BwAvTNUT7kK +9GSo2rISoydUj8De54vuf6hnplS6jsfaXutGH461rVdg7Xiomtn+cV9WKj+2 +e/52LBz4eqqayR6F9szZFrQzca4nq5xsNYYTy4kdlebf47rLtWOQeRL8P4iU +i/3GX+bueduXOHrKWH0y1nx6ojrR7J6tx3y8txc8p1kjEuHxaWP7GNd3xhVx +Yx3W7gmEB+ect2dxthd0ZiKsOuNc5p3V1uGOSL3soUS8Na4XvGeO7zoeS6dp +xuw+1xjWHGIV9WTv0OD+gf1K0T3PokSYuy1SzH7gPrCL9b5E/K9kFfucs4et +y6s/pPyzvoP+eNPx+Ugqnp+AVkWq7dsT6dtr/Sl/oXsVYly9e0jqSnvRVqU4 +sxRrF/C+skS/l/4EOliiWsx37kik58OUH6m/eChRf91kf20p0Vn2P+xl57tP +Zg3vco1h37TA+lwC/38cH+sdl/TNSPc7zL21jnH6a5r7xlkF+WOO38i9Os9b +3bMST95PFA8diXRkrt5ivlr7lHWA68zfC+C7TJ2Mv694nTWeOVAbqfYzJusj +9Q3UYWGkOkZ++q7onrroWJxtezOn2MPQf4yRLvNzr8pxGNtPjA1+V1tP9h+c +3+razTwjD+vAMb+LvWqjsYjx/1/nQDFRHW1JJGue76Idamxb9gjkYZ0lZjM2 +GG/E8fu9Ptw986dBfxgpJiek6l3ZA1MP2nmlbc2eg2dXg3dror5gINTdc/1u +9n+svwlkXgTPR7j3Uqiesdt9IzGD63XGkKBUa9TxqHOe76Tv6Ff2InzXokjx +e9Y5tAry28CzmrnomGfsv5sISy+HimnGdg1rR6QeeWcim/XZbi/F+n38YKT+ +hn3OBKzdnKhHYq/0L/dPrJ/EVmLsYuxXxtKH9qOdPq4h1zHeHEPsWZY6jzZF ++j/gb7FsQvlX+rK8sIL8TWWf/BbfHOl3/99jYdSgcYo5xlzjO1pde+lb4ikx +7lQs7CCGVEeKoxbL3+86znpekihH+2PFHvWhjwYSyR/E27tj/db5XqS4aHZs +MKdH5BUH+2O9i+9bGyn2GKcVzn/m/rV5YQ7zpJgXjnHOOkHsPgEZL8R6L9/N +fpBYQ3/MivR76EfgLSvoP5piKuwmhr8eKweLlkkcGGVfMGbK8/IT19iTc505 +fp1t0mYc70l157WWw3p3yZi2IdV/PFMT5esS+5T9KOe3R4ohxtKHsXpGYih9 +T4wcaZx8PlEu/sG9xQjjI/sb9jmNODssUp/Dfmd3oljalej9tMPsSPlzzvhH +vOXvCvZyLcaH93D2nVgYzjrAOzqNw9SrzfhOPajPlFi6cu+iefgG6kEbUQdi +0fFUd21K1fez/x8H+Y2uiayNG1PZ/PeQ/WfnKfN1puvxmVi1mTG+JNL+Ft9F +PPjIvQX7kMf8G/zdWHHO3p/9CHGYeExcvFzyye/CfmMs85z5Pi9Sz8d3t4HO +dm/MHrneeETMJJZnjOdX/mMw5n8qVk/5Os7+D4lWdvo= + "]], PolygonBox[CompressedData[" +1:eJwtlllsVVUUhk8vtPfucwebiCBGAogDQx2wgECiDGInaSktPCDwAEQmoUwx +iANO+KCFKiAyWCYRpBBABk1EUJHJEjDRhKEKMcYENVETomhkUL/fvw9/zr/O +Xnvtdda0T9eJs2rqElEU7QJtQXU6ih6G5NpE0ZY4iurAUyi8As6zdg5Mho8D +j7H2TiaKPs6PolLkWnhRNopOwrulomg+fBXvPmS9E3JLiKIb2DM9L4rqeTeD +tZ/AFPSXIP8Mz+Si6ApnTwBpeCdwir1d8ambzsfGrch5yJfgb3JGGfL2Ap7w +Rdg/gL33eNeWvXcjn+a8ZuQhyH/EXmtCvxT9Ss4ckLCPq+HtWV+D/kF0BqM/ +jjMLEj5jBfrfg4aUfZJvA0BH1o8jD4Rfx6c8bCfABextB59iey6x3QZ/FxxA +LmPPKPg19P9FjtD/NmOf/vcNe8vgZ6WT7xhvhF9F/zr8H9CCfAG5M7qTkP+C +9+XdVmwPSkbR41mfobN0xjcZ79Fe+bAJXgNKWL+KfAb+Q3Du8onv3/CJ2OjL +2krkCfArwbrySb51B9NZayRffxK714jXPs4+wrt98N9AE/aH8m5y1jWgWhjL +/t/hz/LufuS5fHMx/Dj6X0gfDMfeEeTj8CGgAvkoOkOx3Ybz1iNv5fw5kWPc +lHENqhYVo3Pwy+z/ALmU86eydwPv9uf7m/Xtl1jfCX+E9SlZ15Rqayo+fYR8 +Ofa3KQb90N8CDsLL2TMafhpcybfN9fBD2DvK2mDVDHtPIDfDHwZVyEvR2ZPv +GlYty4ZsqWbOy/eca6ctZ25Av4x3fRLeswx+CnsnkIeBatabsXEHyKq3wKOx +Y6eYHUO3DsznewpBO8kZ95p6sBDdHzPuRfX0RfjetHOnmlJtKSaKTbG+Af2q +jGtNPaPeKY+dG33zYfZ2yLkX1HNFrPXMufcSfE8P+GL1BPt5FdVrf8a1oG/U +typHylV/5YT9F7C5IOEZNCt2DamW7lFNIA8GvRKusSZ0Z+HzKVAIcmBYbN9V +A7tZHxp7r3K+A/lQxrHRGbNZK2LPc+ChpPuoPu3aV03Pybqn1Fs6cxD6XXKe +FZoBneHLs+5dzQzNjpHYr+DbLypf8Gms17J/PPJY9pfE/lbNrD3oz+XsnuAs +8WshRl3g7YL9ld/d4DeDVaxPAh3hvcA5+DSwP+va3YXuV5w3L1hHa7K5AN4H +bCuwjxvgs1trRzYW8RwIapL2syhtW+3xpVfaZ3cHZ/LsQ49gn+Wr3m2EPwGu +4UMjchN8hnoKpLHTm+eTwb5vIi4d4PcF8yTr6+BVoJr9ezX34TcF50957Ay/ +MTjfysFt8PbB8VMc18BHyn/FADwTfIZs65sb4WVgOGu7wdvwWrAD/j7oHfuu +Uc+od2T7abC1wGesVY/JR3T3gOLgmCqW0vmc+M9LuUfzif/G2L2sO/Uu6uPr +2HebZmYx8jH2rgQz2ZPhWQru1XnI5aAa/pZimPI3jQ6OsWL7CXKF7kDlN2Wf ++mqmBsdGNSxbO8GvKdscAL8T/JJyjm9XLYAvtReMCc6ZcqV34xUbsDtpG5Xw +FWB6yjkaEXsWacadJF41wTlQ7GvB5qz/HRYSmy1Z33G66zRDN8MrY89Gzfxm +9o+J/W+hnjmLvCTj2tPMaIBn0/43UX9XEb/y4Jwql5XyJ7iGVDsjU47t8mBf +FOMH4asVE/gtYFRwDSj3ejc8OMfK7QjQELt3ded8l3EulgXbVk76w18Krr2S +pH0qbJ1BI3KezXWts0gzWnec7jrVSKNmU9r/Bvpn6gNfjE69elS2wbrYd53+ +iY5kfSfrbtado7tnUM6x1T+L/l3GxZ4t+qdqSfufSP9G+mdpZm1t7FmsO/cw +a68Hx0SxUE+sgr+qmZFyT5QE14hqQz71gy8MrfM36V58PpirJx+AvxDcq8OS +7t2Xg2OjHq7OecZotiRzrt03gnOnGlatzQzuBdXc4eCYKBaaKZqFLwbb1kxs +gC8J7pWKlGtzaXDuVKNHg3W0phlUGvtuPgY+Iz7/ARRcV6o= + "]]}]}, + {RGBColor[0.4799129124999999, 0.50704019, 0.5170638649999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmnm0VcWVxs998O695957rkxREERBEFAEFcUY6RgQHCMxaBxQpoeYMKpJ +K4gTiFMrw+OpvTSJIqAmIki61W5HFLvtmKE1ZrXKgzh0yzwo+gBl0PT3Y39v +wR+1qk6dqn2qdu3h27tOl7prhk2pSZKka8skaaH603ySLFD5Ti5JntaLZbVJ +0lv1y3q3VGWZyksqT/v5Ffc9ozK3EuPnqH7VfctVqqK1W/XvVBpE+3bR26P2 +Uxr3usb/VvWN+vh49U/U2Izvq79WfWu1rnHqP1T9y1Wuqom1tS6p6N2qLEl6 +6fmJljGmi0qtygbRv0d0j9b4gapf1PMSr7tJY59U+TyJ+gm32cejKgtUGkVj +uuZuUvterWeOytdqLxStf1T9geolKiu1zqcrQffXKo+YL4+Y1rta3/2ae4bq +F9iz1wG922qCZjt9f7r2equeF4vW9Xxf9RMqN6i9RvUzWs9YvW+neplKndpt +Vf+1Jnh4nuoriklSEa3JNcHLSSqDNOb8YvSdpfYk0VuvMjGJ5wnq36F2m1Ks +o6aaJOWWMRcaXTX3atGfoDGfqb1Q9f2ctffInud5rzzXm388z1d5zM+/8r7Z +f0MSdHjHem9oEeu4UjxpozWtU/8pqjurtFSZrOeNSaw9n4v2TSonae6CFsGL +k1rEeXFuR+diHGeHLLDf6SppqvPQXv5X836l83hN3/uh6v9D7lU6qbyh8ef6 +u0u8bva4WGNvEf1tarfIxZwsCXmFT8jbroLkgHkqHZMYA805pgGtTO++Ur2I +/YvmzZq7Re1BKj9WuVDlTJVhfh6scpGfi1nsc4XOao++tUlzp3F2OpcfqR4I +f1pE/wB951TOWGWISn/XzfTqVMaovKM1vK2yTnN2iW5/8aen5G2b6O9W/z+L +V730fKr6j1V9immwxu4qJ6v0Qx40fo7KRtF5QWt4VGWD2j2TWEd/jxvkdV6h +b7UXzfHaU53qMSo/gLf5kGfk+pgkvsc3WunbR6q/dSX4MlpllPlFPZI9tYjv +T/OcM/29stZ1teiO1vtGtVepjFB/D6/rFPN3zEF0pyQhdzxf4+ePSqGnbbWG +w/XcK4n9dXANPc79WL/Dhn0i/p2OvGCfauNc6PvI/dg4xtH+oJwkH6v/8lK8 +p43eLdD3fqH6vUrYvLss689Yt9CjTHsaVxvniL6Os87uKAQt2ti5tbaTU8X3 +K8ST3qqHa+zlKieZB9d6z+hm59rQzxHWP+zGG6K5shDnP9J84l3natAfpfVf +WIl1/Fj1xlKsuYPah1SCZlV1Yzn4cqXeNxSiDX+We0/YiPbmK7LAmPmF0F/2 +W1G5SrTKaej2ZulBN5W+ev+u+NBHtCoqu6x/2Gh0ep7p8K1vitF+1mfUYPr0 +NXjMYo2Z2ayrai8thuz+Te/rVQZrzEfa34ctQg+3F+L5R9bhQQfp9JnWn+sK +oSP/6rkfqwxNQuc+cnurxmwpBF1kmDGjrN/1XhvrZj/bNb6k9ndz4cuGqj5N +5U21D3F7r9ovau0vqFyZhE7QRi+Qw7nWX2jPM310mn7kk3c8n5cLmZrtfur7 +3OYd7bWif4HXc6vaXxdi3NN+P8fjL9YaBoqXJyMTWktWDNnCBg9UuRGd0nfn +aX0v6jmphh0+VLKzqRRn83fJ8PVaT73HbCtFu5v6O1Vi7hbbzN0+L94x5jP1 +/xBbmdtPOimlIRObinFG7+bDjhX0vL4Q54VsMAY5eU31t8U4h1mieYfGn6b6 +Y9H9pfqbsvAPg4xJ8Dkr8vGM/rBXZLtJ+/8P69SOLDBSe+3xeY0bkovznaTv +PVwMrMTYNzwevtE+zLrJuxNqws4Ptt3HB8JP9Pdi9+EbsCPoJpjiRNF5TvWZ +Kk1J1HclIedrLBOfa20Padz2LGwPNgjchG2efJAvPyMXuAK525eE7FHAQP+l +crj21kHjO5ZD15ebVlt9Y1Jt4B7G/t7jp0Df/b/3OzBdvfh8FnYtC1z6B5W3 +VI4T3WPV31v12VpDK5Vv1f9FMb610PPfMr23/AyNrzTmT0lg2DuS+O6dSeCN +a2oDczTjPGzKo+YBz5tLIYudJXfr1f45e1R7ldpT1P6O2rdr3HjRmaW6XSH2 +NlXtSypB/1vJ4CHq/1ltYE3GTayNtcAb2mDE1hozwW3G/rQ2/MTMJNp8h/fj +TQeszr7+mASe/6P59b1S4GTw8unFkOlnLQ+vWyaw3cjJBo19H3uNPojnZ6ie +K3l+CUyKHKo8WBM47ihjueHqu7QYmHKn7QD2Y7XoPICuic4JfKcYcleVIk7R +tzLVe21jsXlgN2w0eje4ZdgsbNJc43PW8Cfv89WD9vmKz+kln/FS9/N8Ui7i +kz2Wv1eTAzHNKx63xPOa8Tv1v6uckAs8B4YfWYy4Ym5NyNo36luRxDpnO5aZ +0CJsGbrxB38f+k+KD8M07kLJ6o5irAEZnVSJuYeUAk98NwksBdbHv83AR5TC +vmHnkHdiNnQfDEx8AO79vvg7X/x5J4uYY6pjGepp4FpiBPUPz4fsfOAYZ08a +tgTbBM06x2fQ/SwJf3OL6hH5iCWaz7yN7Qa2v2T7z7mW1X4gibmp+xdpbs9c +YBL8HXjzB9ZP4gRiDezDfD+ja8QbxBkfa521mj9XPJiVD9tLjNi3eMCGrXEM +tS+NmApd2ZsG79jzTMvA4bk4L860Qy5i1feMu3Zr/N8qoac/UX2bzwAa2OYv +ktgvPK5X6VwT+gc/mT8yHzy6O4kYZ4TjHOKAzN86pxI47FzVx+WCV9C8oBL4 +eKjq47OgNU11t1zEgsQ4k8qx7yPEh+ONeeDziZZt6Hf1ueGD8D+so7We+9k2 +svfu9qObLVO08ac7k6BJzDJUfWdr7vXIchbtw7PIGRyTi9ic2BAewR94cIX5 +gIzf2jLiA2K4vOVzhNdzt892hm0Ye2QMsd5mlYLbfIf2zUnE+62NE5CjomXy +OMshPoj30McWvWBM8iW6k8R46EwpxjqRCWIgcAmYpLttEvwEO3T2ed+m9zPy +EZdv0tlU1d5Yib6Z7m+oDX51Aa+r7yZkFL+fi/mc35ei36MYsnCGcwX32f8z +B7v0eTHWwTmQR6n6vHq4b5Fl+MZ8yDFrgD5xJTEHayMuxD5srw0bcYPGtc8F +Nj69EGtkLtgKXSLOBTMTu3Ke9N3u/tWV8EMXq36/Er5nmOouorNBY25Q6eU9 +IXvMm2XdJJfS199GVg/zGroWYr/wh/pG7x3MPcN76ZELWsjYqkr4totUDxG/ +Hkf3nAvC5oCBieE5L+LBvv42dq+75WeLZeNIyw+ygEwgP9dYPoj7dug7O20D +78sHHda/vhK5qg2VwEL1tlMfVsKff5MGT6baxs7Ox/xONYEf5lre77V9xk4P +Mf7abnlH7m/2OmgTa91cDFrQmW9chr8+w/xE5uudT0J/jzUf1tlmY3/32+Ta +2Bv7Iv7jubv3S7ub9X6n5Z+1z7af7VGIZ9rEmrXOIXQyj+DPGp8L53Ot7f41 +Pkd4jSxdpnfrNeaUasjhpnxgEbAG2Alciswus9zKNO2Pt4kLiYfQUWIlci3E +3uRkWmnQXPVPqUTsgu8l1uhaCp38hfo/KQQ9MDM2cG9N4MPR4u0Alfqa4NtR +1veVxcBGYKG/5CMOABNep75RKntqQoeggx79g2nMU5F53p8vYN0Vr5PnNoXA +luC6VoXAdbOss+jrAJ//TT53bGfe9nPrQXLR3/ETcVy1EHgP7AdGON9+argY +s1nr3ppFPneJSpoEn4a0jO99dpDsk3/Bx91mG44/wyY/VI6c6cPl2Bt7xKae +ozHfaxl+gT00WBdud41uLLMP2mT7+Yx92O22Deg1vLjf8wc6f7tNax6LT1d5 +QM8rNe5+ktaq/65N/Fxru0xje9tvIv+8f9Bj1hWCJufVUHOAxiDTa/A+59re +jcmH/F/uPddbT9kn+A7bssdnix+5T99eqrGzVTelkUdpTIMfDZarQfZT+F/0 +5SrnZ8gV0n4Ku6V1poXIhc3wN1kTfayF/BnnPNAyzzqHW0+ZW+cczldpYKgP +08gfQG8gclKJuTulB8NLkYdapXOsFEMPkAd88Ujjua7WR2wxOQTiN2KxjrYr +2JrerrEPfWzX8UfY4UPti4mXiF3BjvPygUvAWOTSiInwRcSNxI/YMGLewdY7 +YjtynuR1p9q3YMOR2YktI+d3Ti7id/Kyr+Ui3uPc92hfu8kPYC8kQ4M197As +sDmY58+qz89FjMr+sAe9bRNYC+PB7JztEr9DFmZarsGKrIe9IEf3W67erYQN +fSkLnhH/Ei/0r8Z+iQW/1rqOK8ZaWB8168F+YI+wIcQZez0XHelhm9k/Cyyx +MwsaYALwAPmccfnI7Yx1Lhz9Ivc/wfl/8gC19ndgQtpgsAnl8L1ttba1+bgH +4q4FuYQm+T9qvjHK+I155P0Gmi405zgXRB4IGcEH4d/Rmybfs5Bzutrr7O41 +YuOOtI7gp9BjcBcYeF+LwKPIHb5iXT7uhBjf0ns5z218/c5i4A/4gmzhk9rb +P0IDee1he3OzbQ02q9n23GFb0SkLu3ZEFvghs2w32zXmYCfQQ3RwuNvo6gbH +AcgGuZPn7dNbWFbxV6c7zqZ/LvKp53mq9+QjD4iOH10KOzU7C7rYAnS8UI08 +5IXV0G/6+9nmk//E7pNHhA75w3w5Ympi6735+Ab0ySG0ss/Y7X5iMPIwbeyT +sCsl2xHOjVwkMsA3S17PmFLIyxH6zuhSyF+ncpwVZ7bGurLB+rLI50g/eSBy +K8SX3LOAGcCh3I8QV6zOBf4Cv4JVTpKhmpaGL6Se6jZy1Gj/Ap1Fpo/OsXdk +IXNuoVFrPLkcvOpXDuw/3Pj/Z6L3eho6Wqf639LA6eQwyN9hy8ep7+U0ZI3n +FY6nxqjv+TTyTC+oHqvSRF5E9fg07BE4gbgAXU+zsHHksbba92IzX9PYFWnk +on6axjPtV1VfrbKrGLmTjcaWfP+1g2LMFW6P0th/SSOG2Ggcga49q77RKtvV +P1L179K436Ne7vZ66zd6fqX6nnaOHUwC7kB3XlLfi2nkLdj3c977FaqHp5FH +Pbsc57BBe12aC3tBfviqNOYzF7nYaJ3ZaDlhX/ieTY5ryGVyV8OdDXn0k/08 +xH3kRh52vEzcTN69n8eRc/ratukrt5tz0V85X73Lbfq5/9rq3Dv1Nucm0JFt +7ifvdEsxcipj7J/xs7Txu/hgcjbkbrgT+u8sxi/TWZerkYuvVCMPe2pyIL/T +03P4BvS4R3g7C94UypEP2+s89h63yY9R73E/93rXO8+/2/3YRuKA3W4Pdhs/ ++59ZjH+0FDpBPIwukKcBF17r9bAv1sQ9GvccrO0eneEAldaac6/qwWnk84hj +nrN9A6Ptcw7sbr2/Mw1cxtluNubf7LPGDy2wD0L3sfXYCvAEfWvdf2QpcPad +WeQj19pnUT51nHiJ+PWy6qNKsfatPhf8O2vBJ5BrBTeDcZFP5KAZlzUVAqch +F7ssJ9jV7baBz5VDLu4tx13bzsKBu5GdliXqHW7f45zpP2WBgfF/xKHNd5nc +FzGuyWto8lzWcKZ4NiiN/NZE50DBP/yD8K7xOs/0kxd9Jouc7HLVv8kiR/lb +1QvzYVvhITXPxNn4n4Xub1eJ/wH4L2BBFjncx7LIgbVz3ILPwHfgB+EdPMQv +Yr8X2/bSB3/JJ473GNoLs/hfYVEWeJj7PPi9znabs0avuavgHuM0363kpC9D +q2Hvs3Lk5sgtfZpGTDrH8XnPQvxrAt4Ee3JnAv7k7qLsZ+5xwaAflmJPxHWT +jcXBO9yVQIOcDPkYsMx0+5E6r4v19bQ/A5uRWyJOAOdwP8m+iIsnmlfkH+u9 +vnn2b5zBFuOyLsYzDR6D7GKDWc9I+4fRSdzTHmM9YS56A15Hd4ibOzh2BjOT +g2j2vbSxq9M9Hvt6renV2a6P8jfI6xxivSCmh7/wdrLXwrhFPmv2Du/ADORb +yQ+1NX6Ar/CXnAjv23oM/Ghtnkz0XLAXeZ3WxiTcgcH7v2QRO3Y1Xm1tXhFP +dSxFLDlRYzuVIpYkJzrHayZHcZ3mv4f9L4cdrTcOqbeM0Oauj7WyztWFwLuj +fDf7ke9eec844v/3itFmPHEZ40Z7PBiJNjKNHDxlHM6dOlgc+UMOuRu8yLms +RZXIqcG7xyuRw0EHkbvJ5iO49CfORT9JbrsYth4Ze1I6cGkadzYbnVchv0JM +TixKHHq83i9K4+6ZmJ84Ct+xybYDvwB2G+eYq28W7Ztcg1UaHRO8bQzP/miz +x9NF+/E07ksvU/2bNHIni1VfksbdEmPf8dx5zh8QR5/t+I04aKhzCWAk9A99 +QBcOc1xBTME/Qkc6XiBG5N8I7jPHZIFx67I4W+busd7NN50v0sDsq9KIR+c1 +j6mJWIU1jbY9bv43ZJh1Hr2sN51hzn8+Rg6gFLm5P2fB4z7m8+H+b4N/1haU +4szezEIObrAPGlCI/Bd+kHqAc7LoNc/gH2KcNxznwCtiTeLcc92Pb2pwDMpZ +c0cOjl6dhY8nl0U8Bf8rtkt1vq8jdoXX8Jy5jZpzD3i3FOd5l8+0nUrbYvxD +s8o8nF+JXAN+9Vl9s8F3Gdxp3OpcM+dFHN2xGLH0MtEfw78UWcRpxGvkiskZ +k9cmzsK3j3YeDR/Hvx34uXVpYNtfZ5GbJDdO/oGcDLk4ZAp5hz78GOacGff4 +jc7PPESu3nE08TR5zj6O706uBuaoK8X58R8Ac782PgQzovf0Ywe4ZzjOvIXO +8d7vYW7vv/Ny/o083JdZ3ON/kUWcy1xyVrR7e3xzboV+4pVO5iP/8PSyf+H/ +IP7Pm2CMS+72mCQwMXWPJPIS5M043yVZ8OepLM6Q/8bAHOBk2uA67mgvdUzT +pRQyDoa6W3O+r/67nD8h70DOoU8p/DwYf04W3+pWirPhjH6ZRc6YudjhNpYf +cOPlzjeDm5Gntl4P/1mAJcGH/A9Cfop8L/+g4cvJJ5EHpj91nTmHtdJzGA+W +QYbBNi9mIavo/RDjJmwesfVY5wHBtO0s2/xHwX8VzfSqpo8Pmmi/09b6wF56 +O5/KGHLsnBFxHDKELA2uBmZsNG48ohJ4eH0a37vQPpUYq+w4a7DlcGwpnvnH +ibvvWvtB1sD92NH2idwXgCeJ78C2+5wzaesxxMVgYnADsRv+kRiG+AX6Jcdr +0Ozm8anXw/9O33gMa0Bfm4oH9JU4El0sO05kPLS+cY4D7DbLcT35rt3FA3K0 +y7kaMF9P863gdYJtuCvo4TVzP0IuBXuGrV/mdXLnNsM4lv8EUq+haJrgk3be +F/wpmcfsBV3Gl6PjLdNo49Op33c/d27cse2/d6tG/8JS5JX6WN/Ja31cDL/f +rxrtv5bC7h5rP9XBeQ7W3dn97IWYmNgDzEmcsdT2HLvfz9+Fr/x/xr7AbawH +n9XKY761bR9nX8za+tqmkbsiX4mNxWeeYj+SeQw5VeKNp7wG8NCJHk/80eT4 +hX+dNvlMqx7DGsCXJ5hOk7H8Eu9piWl29nfhw2Ol4PXZ1fhPaprlkH+VrywG +ViLOOdFxJGe+xrEtNhcbARZiXv9iYFpibO5WOrl/qmkSC+E7p9m/c7+Dj4dP +4Dyw9Tru4NT/ntZ1RxZjOpfinxTWQS7y1VLgDP7DJdZkPLESdhZ7w/3O/5QC +J4GbsHXYVnSbOzrWv93+6gTTJF64wPjntiz2cmt24L9S7onIF/KP2qdqP0oe +UGMeyQI/0sZmv2F8gMyQH+CfLb7ZyzTgy+NZ8HZxFvxbZx5i49rbZzTjvNPA +3WqfpvEzs8iR80/hPusa/WBu4nvymOxrjb/LGZFL546NfB1zybO/aTk/1+sk +z/NgMfA4OrHAMVor4xtw4Ce2xdBZbfs5wjwh788/e/3t65p5hm/gzo15zMcm +I0ND7KPx12fZt55qvpKPxZY3OqcBLpjuuG9zFutcU4r3q23DR9hvYbe5M0F2 +z7JesccbzXvWwr3fSu/rW/uskuWGnCuxCXmEjh7LPeaWLOI5cvP/D0SOOJ8= + + "]], PolygonBox[CompressedData[" +1:eJwtl3mUl2MUx99mftP83vf3PkNHRE1DlJKyhEGFIjuhg9R0apqKSo1TmcmW +tU1NE2WLQ6U9JbsSisNf1tBooRxq2shSWSJ8vn3745733ucuz32e525vi4rb +elTmRVG0C8gAHUMU1bLQORtFY8GXxVFUDMyGt5u1jUkUPc53e8Mo6gX/XXgj +gI/g/8H6a+DNgWXQv0KXgN8Sm/cOa0vRHwNei/556K+ILSPeXtaPzEXRPew/ +EXw9/AZF+IHsGDkJPg7ZZsB0yK2FUdQE+fvybPOTYF7f2L5KZngaRQ3zUcXG +DvCzkLkD/Gn4m/HlB2RHIVfG2mh421gbj3wjLqMp8udifxD0APYoh/ck9Dx4 +84GnwEuQqQKfisyP8DtjowZb92B/CfQ6ZL6Df2QBfiA7Gf50+CsbRFEL+GuB +R5HdwlpPeJcgv6GB17ZCB+iG6N8L3J7zW/SPfbd6k+2pz3YU9gvB+2FvS8Y+ +yteXkT0faIX8z8Bn2HwU+RLO8yn4OcAD0HPg7Uj8dgNjv4XecAj8o7G9BLqQ ++9+V+Kz/AM3Zry1wNvyZ0DXsNwf5PsheCZQi2wP6M+xXQ8+Enoftm4D3FCuc +80RsrgXPsDYL/gd8y4AdrP0rn9B/jO8YZIfkHDOKnQtYmwh+DfsPYv+bgWvB +F7HWD94IYBX466ytKfAZyrD/YbAvWzn/FOgy6DvxfQZrv8lX5H9Bti33dzL7 +1bM2Dd5A5Psj/2uw7DD4X0Jvg96Ib/X4tB18H3A3+IPI7wW/mbO8DfzFXf6O +3jbsB/gF7Hkr+KrEsT6btW7IT2FtaYF9OOgLa09l7aN8vQ/5ffD2AmvgT4Cu +hH8q/pyJvyNZa4FsZ3JjIPI/ASfgy07s7wZfFxzbHZB5B9087r8x9CPQP+n9 +cz7rMs5UDF2cc+y/CN0Mugb7S9i7HWuTwP8Ljh3lrHK3FTLvQ1cAL8LrovvT +3UEv1VnQ6cBdVGBjhmIXKAFP8SFBd0mwbEfo6sRr4pXpjuC9AJSDnwccC28h ++qvRz+d8m8AbAcdCV3OeAP5xcC4W40MB/p3CW9wOvMJ5nkPmJfgD4F8InIC9 +a7iPDrFzrjv4cmwMz3NMz1XuQLfE/97sMQ38ALKjoSuhv4FOpIPsCiAHXoXN +PdjqC70A/beC3042VoD/jX4V+FDW1qWOgYOxoBoJvl/+wh8Mvw7+v9C3gXfA +5jmc59Ii5458+Bb+dalz4Xj0q9HvBEzNc04sBv8H2WpkhyGzAdlq6Pax72I5 +EONvLuOY+xn5PcG1UjVWtVZ3qrvVmx0G3hTdiUAjZOqJubTIZ+/DHt+zvgCZ +K/L8RovAt6jGZVxTv2Kvual90R3MAV+veIZXiUwptmbkXGt1h7rLLthcDuxh +j5OA+anvXmeaB95VvSR2rp0MvJs41rVnzN67E8e6anYr6AuQfRX4BdnWwMLg +t1IPVC8coloFHMD+X6yPjn1nuivFSE1w7CjGFeuD8fdW1i8WgDdl7VLeszv0 +FdBNoLtBD4f+Gl+6sdYtYx3pSke6tZzp8MQ5oFy4DJ1idC9PHXvKoT348Xxw +bihGFas9gaH53uNoeN1T51oX9efYOavcVY2pBd8Q3FvnIr8R/BigKt8+N1M/ +RWZkxj1xO74MwMab6ueR36AZ/h6TsUw9/GXBuT8dm13BeyPbB9iZdU0fF5y7 +iknFpnqEekVf9msfXBNVG2vwbxj4s6z1yjomFZuT2W8tcbYf+XJ4VwPD8izz +HPhhiXV1p7pb1WjVavWok1Lfue5eNeLw1D1VvbWHejq8NqyVwivHhzXQk+A/ +kfGeI4LPpLNdxH5TwFsmxlVDVEsqlNN6b+5nU+wZSbOSetgGZBew1hrolHUP +fCQcunvq0SnwewGb2W8TUMfeDwf3urfg3wB9Y+weqd646lCOK9el8zX8Walr +hWaamco3ZFtqL9YWQ5er9gH7Isf886lrj2rMbPBXc44Vnfm1nO9Yd60z9Qcv +STwbqgarFk8NrlWaWTS7DMX2+7FzZT9wk+KnwDGp2Hwjds4p134DnkZ/Avut +wv4z4GcVuZcO4o7PLHKPVq8uYG0z+p3RnRB79lPN+Rb+XfnuYY3hNw/OFcWw +Ylk9UL1QPbBj4jfV225G9wzst8u516unqrfWJt5LM4Vmi9nQdVnPKJpVvkis +qxqvWq+77Bd7ttKdzgS/CDhV843WkO+Kreux2QZfPg+eDTQDrgmuLYOBP7Ou +MeNj11TV0sKsZzrNdt/j43p8XR27xqm2SUcxpljTHqXIroxdI1Ub92Xd6zrF +tnWw5+FPVdYzmWYz+STfFPO/J54VJwGnZT0zFuY8K2rm3xncQ9VLVaMb5lzj +Vetl8wPNfol91cyl2esI6LENPBPdHzwDaxbWDFSfeubV7KsZqy7xjKdZr1Q9 +B96PwbOLbOwKnjE1a6oH3oj+C6ljWz1GvWYUMK3AM5BmoauCY6unZjjs18ee +XRWT/8WuyarN0jles61mujy/eesi91j1WtW4pqrtOc9C58J/ENv3Bvuqfwr9 +W9Tp/yTrGWky+z8QLKsZW7N2u+B/Dc1smt3OyHl2U44qV3vGnpE1G69mrXni +WUz/QA+hezG8+bF5p+t/KXWvVA5sSnxGnbW35m3kZwXjqpGqlZWpe4v+ifRv +pFpeETsXVdM1qw6KHTuaWS+Mvaf2Ukwfl/jfRf8Qk/QvFVy7lcNbD9W2ObFr +k2rctTnXVt2p7lY1TLXsfJ1fs1fiXNc/Swn3PT6Yp38o/UupBqoW6h+qt/pl +7BxTbilG/weEbuv6 + "]]}]}, + {RGBColor[0.539107115, 0.56238831, 0.5664840724999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmXmQVcUVxt9j5t335r7XoEFRhkXQSIRUrFLQGFdSFY2iuEUWSxOMUAqi +sppKAgUu7IuRGBa1IAFNYVzhHyMgimiMazQOahRZJG6AgDMMqEnAnB/fZyV/ +3Olz+/U9ffr0Od/5uqf7taMuv7lNoVC4Pf7URXt2/Okf8s5ioTA85DXxbIz+ +YdGujmeo+56K5+wYc2RZMmObSvqN/mejXR/PxJBH1el9Qsij3U/f9HhejOfm +6D8pKxReCPmmkJtD5zMhjyuqXRfPLSG/Fu2r8cytU/9cj+lZ0m93xtOxrPE3 +xjMjnpc8T/eS+m+K57Oi5h0V7SWZdKG/xXZjM7b81fZMtTzFD7/dGP2Xhs7x +2BL+eTcVCt+qD39UC4WZdZLRPyfk9iGPCXlBJdZfr2+OyguFxdH3fnz3POuI +5454H1SWvfikd4xtjGdm6J8YfR3qNWZCyEfWy87XkuSjYt6x0f9cPLcXpQ+9 +Y71nq5Cjv7WoMXe4fd4yvpppnzSGrhkx52lVzX/ot4J8OcNjZtdpbayrT4zp +FM+sGPNKnX6j/7QknbdF2y509cV3se63o/11jH8w2nKdYo54mxP+OT3T+654 +Pyfa0dEeHd8sYc9CzxfRdiP+iorHRfWy9eua+h+LsYtirmsihhdGe0tVetpG +e27oPz/G9yEWY+8uirY5xl0b3+6LdkF8e1G9ZHzY3mNZS2O0neK5P+bqWKe1 +YCO+7+yY2RT2bQ37BzoWettXx0TbxX7G/8grQ88Pw55B9fp9f1H+WBHty3Xy +I/Pu9jvyrDrJ+OScTD7ElwNr8sOcquL6pf/bI75hX3b6+9Huf8W/jS4pp+YX +lE/I44vae/x6sEH2drXNHWwvayHXRmbKqZay8vbJeLrZrn1FtQ9anlpWnn4z +z2uel9iZbTsvrNeegBVj6oQXzDvamIE8Kfx20DYx/w2Z9oV5B2Sac3lJ+XlJ +PJNi3uHRv6OodkSmeL6rInlHG+Xc9e6nHW6Zb3jfHu0/Iz4mx7jLwzeXZsIO +cKNX0rw92ffQ9RV5WRCeYFtztJ3jt3nx2y9Cx7Syvgevjo/+y0LenavvMveD +SejHV3+s6Dfm6hHyyNDTGM8D8e2GWN+TNeXNikzYfVE8mzNh1IZo38qUP6zp +evvhttD7eci3RnuPv2GN66JvVybM2G35rOjfkim2F9sf+Gu7Y5MYJa5Wx7pW +lbXmC6O/Uqe1g5fMiT0j7Ft8vjbevywql180LoN7xCoy8TDL2IC8y/kwO+Sn +Mr0jk4vnOB9XOybB/72uPcTSguibH8+6ovbod5nmBxOnGM+nGt8PxX34dn+M ++VmSn/bYV+DfdONhFnFwIORStD1KqhHoIEYaIhYvjnnOir0ph1zIFcMTjBWb +rY95G3L5eHFSbRjnmkKMj3HMr3cu8G1zJpvYQ/BwrDG/U3x/XvR3TNIx1nry +XDW5bdjSLp4uYWuqad+xjb0/Jcm2SUk4d8BYt7oifyLPICfi+TO+yvQ+J/qn +ZXpfGf0LM/mW+EdeZJ8/59/oZx/Yj3neh4Ueg8zeMKZdSTKxsd/zMRfrmmj8 +If8P2j87kuRyVbi7s40w8F7iOtY4oY3snB7PE9E/1+/Y3KMsmf6ZXtcTtme+ +42Rfpj0j/g/UVAMezhWnzEV8ktdgHHnL3oOF44wB5AW50BJyU1kYuzfkKSFv +sn72k5h4v6h4W1CQLnSCAxs8/nBjJ/1gRUNFOtFDu8HyFdGuzVQLW5yb5AXt +asuMf9P24GN8vdK2oafFGPSm1zI42ivLip0rk+JzYy5bptkesGqa/XByPJPL +4ndg0/ll5TM5BNcBQ+Y7ZtY57xlzs9sLLC+OeOhXlo5+7ke+uCQMYY/o4zf2 +HN2Drf9Ky8RAa73ekfHNsrKwBEyiToBLtJMtk8vs5RLjxCrjw9KyvsVXfM/7 +CsfqUvef9I3OonJotbGRmoTdTxfFByc651e5fhIn8IK+FcU4nOV68DHsmJHE +N86Kdkn83uo4IX72O4Zo9zlWN1smrsA6Ygs+PytJf7fYux+H/uucM+w3Y9BJ +XFUq2ntigZjY5Nj83PPSNlue4jHEJ3btdf8xufLp4aS+Vo+5I95PD/1dcvW3 +eDzcrFdF/GxMyB3K4inUjhMrwt47k/L8R9HeGs/3o7996BlfL51w0+NyxdSK +JDw+oaK6xFqaHNtwGzgZeMJ+LnU80Ef9uN0+Y+x47xdzsWecezj/jDCfGW7u +xDkDbnST+UlH59qvwo7+0Q6rKY6meE/Yc2KMfUdfB+tkzbwPd/7NtX746Re2 +bUdNHHpZrPXRJFztm4Rh4Bp+B++xFZ3scx9zdXzZ2+eLo5N8PSj0DUoa91bo +bKgTJ2auliROcFW0Q6KvX71ifp35AnF1sKb+3+aydbj7ia3rzPEuCIzuH2MW +xZimXGfL5iQ+O8TnAnxwpPd9W002zM/Fc+H9fMPZZJzPJ/Aq6skjSXlCvsAN +4CBwSjjAztBzQcjzcvEFZHgL9oLnrIXcanSdhb81ug6+lMSjfpK0TxXzijNd +L6dFe0amswv70cf5+g2HR8aefyXF/0+T4qvBtfu4JKyBY36UlJPnVbVWYmWo +dYIF6CL2GYNfb0/yw8iquPR482ns3eBcY63YxXq3VlUTt1QVdxeap5ETDc73 +d3LFy1HG+FH15i/GVjAZ7jmwrHM/nHRAWbwUn+E7fEjfQPfDaZu/qTsl/dbX +HPAL88CB9fInOsBA8I8c5UyAv/A5tkwwH1pk/gC/AKuwH4ya5vinpmFLs79l +bYyjloG3Lcbcpkz9m5yPza53zR5z6D7B3AceAn+gvlJbmWeGORB2glt7naf9 +zdGW59qHr+D7VdUTzrWcWckF1g73A1+oBWDVEebRH+filZ3iuw9zYfyB0NOv +qhrSGPL0JN8NqCqGkfEhtZA9Y7+oAWA3mEPtu8J1Co5PXpNT4O7RmdbwF+cJ +Z+hjvB/sRcE4Bp6Rq0OMA5OT9mZEVXVni2vQHtcU5m3nPDks2n8n/c5dyO9D +Hh52Dgv5i6Q1staPGnTm+WX01eeqDVfXpIP7AvKN3IX7YwNxiJ6+Xtcw505f +Y+OcaHcm3cV8hi1JnG9qUpwOcDxvjvcm6m2uOwvOGIdH39u5cAyMXJ4UB7fk +OnNzhoHXUG+oO9/OVRup09S1T6P/7pA/Sf+rx/B/sHmN6wc8ZZD5yfeS8ubU +XOsaWNHauJeYWREebEyS37O9+Bw+z3mBuyzOP/iU7y6KMWsq4vRgGmeFc83D +T8x1P3JXjHkx1/1C+5D/Di5F/xvYXBMPu60mLAaTW0Penuueh/sesGq1OdIH +8d3WirC4T1u9n9JW+AUmgo1tYn/fiP7XK/I/mMKa1xgj2EfuHLCBGCzE9w+E +XIx2V66zcZu25lcV1dxnkvL0T0nnmDVe7ydV8b9Pq/LTZvuKc9sLrsfM29cc +iTgmnrfDU6gvYc+wpPoOloEJrfF+X+jfF233XHc6s0NemnTm4uxFTpKPM5Pm +/6gk/gzHnGRuDK7fbV/9PFeN/jiJAx86Y+CrXDxmf/SfGmveFuPfzbXubV47 +3+Nzak3yWe/wmu4luZP6Or69Jlfd/0FV9Yw68UpSXQcHPk+6S6LW9opv/5Z0 +5/J60nkYfvmfaK9Oiu8vk3gYNemZXPO/bhvAGWRwkrpLHbqqqpwcaz/DFajB +51c19g2PXxv900P+R9KdGvcPW5Jih3ynloE/cG7ul+ATYGkxxnRtKz1Dc9VR +auVvfD+z1rUGrgPnGRxt51y1s0tV3BoMfTT6doe8MPTsAvPiWR82/CHpbol+ +MHtDrrukD6N/T9JZnjM9d6vcsXIOfy9XHeXMBJ4N9j3ONt8pUf+35KprnMWp +1Tu9xs3RfxxcsKazPXnbJcnP5A8+49xDboL3z2biZMQx98LcUe5Nug/Fr0NC +39ia4nkcsZGJI8FpOuXiVZ1j7B7/9nlNd0zk5jJyIekc/WDS3Qc59moSxo/3 +nsJHwIRD9yWZ6jFYCR9p8jniIWMvGAwf2VYS7nFe2m5sxN+sB/yCE7Jf8JL7 +kvDw3iTuDU8EP6fYNmz8LNby3ejvGrYP9R0vd73UPWyh9v0wiUM8nnQOnef4 +6FlT7YCfgpGc19b6/HuP78rm+lt08D+IXiXdZ37doPbjBnEbvuUeBttHewzn +956WWXer7yjOqAnHz4z2kVxcCI55WE3rfsdr4lvO2uwJOAnWdKnJhp25cyWT +LmKe+xTuJcEv9p39p+508bf8fpjHFGqS783VdnZ/Q6Zx5A7xyP9UwJyLfc/K +Gi/w+Ru+0ddng42+u+NcRY0mXsEF8GGZ7yhWmgPiL/TscgyTS2PNoehf53ig +/+UkTgW34uy5wXH1WBIfPD6X7qc8F5ylm3UNd55gI+1665zntcCrmsyf4Wo3 +mEdSR1gvMcEY4gWZ2ADXuU8jPi7x/TM2Lykpvu/12PP8LWfN/eYt8EXOnNxl +gWX7zTPhpNgBF4WrN9meZ82xD/Fh802+hbc1+B3safU5kfvJ75T0/yz4CvF/ +T+Ru26S742KuGkgtIv/gnfBPMIE5mRsb2N/zffdCLWIcv3HPw7fop67xzv3J +EmMm2Mm9S6v9c7/Pls01nVc4r3Nm2V3TvLui/SCeLOStNa0LXso3+LjJd9Z7 +a+pvMTdZYgwkP/kdDIHDNTm3qA/EMTEM5mXm7I+bi/N/pMaafPVJ9B2ba6/g +2qypt9dFnCx3rMBH2nsNJ5Tka/g6vKCD73c4p1HHuZOEb/TwXlAHBroWUOtO +tg+5y2c9h/ycNO/TuXLu2JL+F/BQLu7LfSR3K5z1u+b63w738tydf5rLpk41 +8Zbu/haeO9I8GX4J57o/iU8TD8x7RE1zbYrf/wvbNxxp + "]], PolygonBox[CompressedData[" +1:eJwllmlsVVUUhU/L4/F63z1lRujAUBABIxpBDCiDiagoJEBiRcGAYJwVCJgY +MQwqAsoYFRksKmBQZPCXJhrRSIyIE0YgAgKlkZkWCgVHit/K+rGTtc7eZ7j7 +7L3O7TJx8uhnCkMI67AM1pCGMBxQ1ISxJIRXYgil4ErG5oFvwz+yaQgbsPng +fcTU5EL4DIvFIayFNyN+GPGn8S9lzlB8fRkbCv4ZmwnvCB8EfoP4e4htmw3h +LPFVjA0sCOFr+BrwnfkQ7sp4jd7EXs/Y4/iWwnfDW2JPE38N5ylJfSadbRk2 +AN864kv4wN3w9eCbOOMR5j7K/mPgxxPP7Y51YO4qeAtwc+wKe0+EV+c8py9z +/2JOPfvPYf6f4GLmDGL/cs0BnygKoRexM+AZ5v5HzCXiq4j5FzwD653zN+hb +jhPfA17ENxYS/xxj3XM+83XgY/jf5F56sV45699AzBpwFTYb/hG8A2e5m/mN +8GLO+DnzLzOW5fw78Zc19TcF/K3gz3KWCngb+JzUa33Mee4Hj8c/gb136Y5Y +a2zedzmY9b7Btxy7WOgaqSF+UuLYQs55O/GXo3Ojb24En0589p5YGfGvqYaI +70TMYHB71m/HWqsZa4C3g7eGr4cH1qtn7GFi61jvPPg33XcT11y/Yt+R7qoI +/0p8BxN/WxesNftdpXohfiq8PfgA/qnwRuwU/DDzT2acU+X2b8Za4mtgvX/A +v0ffXTX8YHSOlKsBWDF8B7YG/x74d+Dvo7HW2AnehC0jX8sZ2wxeyh6n4H3g +RfAn2X8a+5dgpfgK+ab3c74j3VUJMdvAdxBfCn6C+CnELifmNLyg2LlayH79 +4U/hn661sLLEOVAuumKH4FPwP6/7ZL0d8ALmjIB3Zv5WeGdsCOvdx1hl3j2q +XtXYq+Cjqr+ce2Cc9k+ci4WMVcMXRGtFGXPmq76x13PuYfVyL86zIuM77Qne +nDi2LWM/Ers2ulfVU++BH8Cm43+LNerAtdFYGiQt+pb54zP+Jn2belq9rT1P +RH+DvkU114XY4Yw9Rv4r4avVX1hf/I8wZy/+lcQvKnQPrABfiD7bDPyH8S+M +vsuvOF9X+Fb4Cvh2+BZw6+jc7iW+FXhM6tpTD1+hRz5gbF7We2wAj0utFfXw +seCO2LXwxapP1j8cXXu/4j8EfjdaG/UN74B/iO51afQm4suja0U1VwZeIg3l +/H3wL1Ztp9Yq9UQL8Lno3pLmngWfxCZn3CP7pYXwW7LW9FPEX4G3wr8AfhL/ +udTanYOfAc9VDcA/Yb1O+Kel1mLVcAV8NDmd1cQ9Mwpcir8H/rmMHcPfNnWt +qsfV65eitVFzauClecfOJ58l4LeV45w18yj57Zh4b+X4ZXx/RL8V6jn1njRI +WqQcn0n8ZuntkmZKO/ckrgXl7KhyT3w26zdKb1V/9uyTsYZLy4PeO8Wy3nZi +m+WtLXrjftL7kLd2DsGa6y3LW6tVs6pdaaC0cBbxv4B3RWNporRRNaHa0BmO +SK+jcy/NeDH6TdXbuoA5B8D7o7E0VFq6LbHW3Kg7wndr6lrSmQemPrPO3gA/ +nncPq5d1583BD0ZroXpevS+NldZKM4YRPzO6N1Qzs6LfUL2lutMTxG5JrC0j +sID/PP72Wb+ReisPsUZNU2twNbg+9b+HYi6AG4t819KMytQ9od4Yhf/q6B5T +r92rNfVWpN5Lb9QkcF3i2JFYN/z9sBfw38z+s/WeqB9z/ofQv4Q0VFo6gLGX +wB9inxa4pjeCuyXuffX8IvV74rWkydLm8sRzpcHS4pbRd683eiO+LxP3onpo +X/SZdDZpfm3iO9Jd6UxfwGv5hjZZ/yPoX0E9pl7TWJ3+N/K+O+VQuVwVrW3q +CfVGed5vgTTuIdbrGZ2rzvAKfBej317lRLkpy/stUo1PIP5M9FsjDZYW643X +W69/Iv0b/Q8iBUUm + "]]}]}, + {RGBColor[0.609232745, 0.62626053, 0.6225373175], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFl1uMX1UVxs/M/zacc/4z7TTWMZmxtgWMBBNMhCdQiAm2pQWHlgcu9kFN +Cp0GKG0dpiYgUxPbGi8Ro0JK2qISYmV64bmEYAxtTQBJaYNAO5AYyijtiMS2 +tKLfL99HfNjZ6+yzztrr8q3LWfit+269t7coitGeomhoH+oUxcZWUfxa9DbR +x7W2ah0LPd3z/+cHRQ81i2J7X1FcrY+/0i6K67RuEP1cw/TjkrNM8k6K93ei +B6qi6NM3/donO/5mTLw/loxrRT8mnglka12q5/kN38W9b3V915vaC63L9X6q +FH+P5b9ZWOYjHd99Wds8z+v883k+22v5l+X847ooFoveU/odd96mfY7ufU98 +A9oHuvbHtPZFlfX9guj3RO8Q77i+HRbviNasnje3TE9oP6rnXQ3bdUCyn9X6 +VMP7H5qm2Xm+RbyzsuOM1niPvx+On7lnsfhGtD/Qscxa9Gtauxv282HptFn+ +OaT9Gp19Of7b0nCcfije73bM/w3RC0R/TutD0ZMtP68UPb9tmvN3LymK30r2 ++/LTlpb54b2gO3brrovapzr2Ff5H9uG25T8lvjf6rAt2zmvYLnw7qLVT9J6m +ac6+qjuW65vrtd+htUl0o7Td0PgH32xoWQ4yb2taLljdHpyM6P7hts+/2G8d +ruz380R8i074Bv7jsR/bod9qGgMrm9YLDDzT9F3ceSAxRE5b+j2h859Vxiky +idfqjv1AfMibbdGN/Pp0xzZgO/HC/n06W9H2XfhyJtibp7NXtQa1DjacO2Dp +iPz+PX37Z+29pWNErJBxc+Rc0XV+DXaNhZ+2rN+h0jl6v3Tem7umcv/ytmWB +L3D2vvS/oFh8VufntT/RZz54BsO/ucfYOpEcXKJ7vt7y8/LoD/+o9Dgjvqu6 +xvuBYJ61v21sb+j43oG2dVjTMc6pL822ZXJ2d86RxzN5Rt3Cr2Bkrc5epE71 +2u6Ovv0gsTiWmoYvqTv4c5HeL0z9IR6rmsbnjGyeo/M5XeciNhPfU03n6q8K +Y2o2uDpTuwb8Qj6+s3YtuEv7TyrnxIXKOfJccna845zkbr7h2+naPpsXv02n +/vTo/R9r31mIfkzrnPj/W9nWQx3beH3y6GJtn+JLfLWqMoZXVs4RYkpNfkd8 +faJ/KXkrWpaFHHBNPqxMXYQmL5CxIPnFPhK6v+sY3F67li+KP7ER+nSvfYk+ +2EPMFqZWUFvQgZpD3Vub2J0P9p6Wbvck7sR8unIMTlTG0f5g6R+1/TZbu25w +NhIf4avHS+ffwCd4a/kZml5xZZ/7wtbEGmyfUl4d0NkHkvlO6Rz4d9f+xlfo +Sr2hB4GFE3r3I/GcjD+Gku8s9AQnyB5Ov9ifXOAcvdAH/+BHvn9E+1nJ2imZ +57r25eL4E96h8N+ld5OKw99K1xNym/wDy5Opt+TlbPSkTlDjqBX4Ff/eKHos +WMKuT3o5d2HfcDBDvKGRMxZe8mIT80PHPWQ42ID/77JhrugnS2N7eWoa+Q4m +qDPrm+5V6Lk9NZPZgT4zlHejLddnsPhgetHx4Gpu5CzI/eD2M/gzuEI3aGIJ +3viWWL/Qcg++Jb3vWDCPb/akB2xMP+cduuNbsEEuk7+ng2Vo8Lw3NRUefL8+ +9QQfTqVXosum6AoGwAc4HEzdnheMjSUfqWPr0mMK+fNm7Ufkz4uV+826rt+N +JRYzleO5pXYtPZg5hPfrIvPF9IIllWeW4diJHeOxC9vRE79h1770pjWZQ8hj +8uYH8eefJHO17L2zci4SZ3BOv+Eu7nw7tZEa+TWt16mZlXvR3sgH5+OpjfT/ +FzID4Msn+4wHfLcxteLhpmv6weD5xsxIH3fN/5+ue9e+5AVy0R2fIIsetjPx +IU7Ejho4GoyRR7v6HM/VuQe8fUlyS/F8VBkrO9MHydf1yb2/Ns1zNLMG2MVX +e0vPpj2S8Wjl+vpz7e9WrvPUe2bViczD9PxVmZmoMfREeuPZ1OaX9M1VpXvg +Scl4tHS9pPeCA3wyWdtWvqOf8t3r+famluc2ZpX2JZ4bmJXQdyI6MwMuSO6B +I3AJlugdbzQdC+rYA+nR1CN88M2u53LqyQ2ZLzZkxuDOazKPfdS1n893jcWN +wR4+fzh+n00PPpN/kKsTv9HKeXtrZdsmEov7a+t5X/r5hvSA35fuVXN1129K +14sPa8cQeXyL37EfDHy/9p34GIytST8ituzEl7w8F39+u3ZefKc2BnhPfVib +PCNPm6Xto8/g/+2peyfS405VzhX44duRnoZvueds7iIu1DVqHfXsmcyrxHxH ++Kk581MPZ1rukbw7XPv5SG2/0Sfw3UMtx5X4Ms9S75hpX6tch49WxuCSzHvs +S1vG7nW16WvxZ2WddlWWvSQ85Bm2kmvUH+ykVjC/4At6x7rUQGrb0n7jclm/ +3y8Lz2x0RuZLlX39svZWaRtW18bd7vQy5sGHYte2zIPowOxNDhN3cAye6QX8 +U/Jvyb/f0swSzF8z+feZyiywIj3idOYQ5pG/VJbzSmXs7krdIM43JdeokVtT +t7FpW/QhX7ibWZGegA6c/at2LP8ZfG1J7aVWgFcw8T/Z/gg6 + "]], PolygonBox[CompressedData[" +1:eJwllNlLVlEUxY9+g1/fvffT8kENKkosmqCg4SEreomsrJx6KBUaXqLBgiIy +aNAeGmiykSgym2foTwgKNWiAeigzzYLUMG0gzaH6LfbD5q591z57n33OOnvs +2orCLcnOuTVYGDsY5xt17kjMuQ+Bc0WecyUQ97EsuF38mwI3nhgHvsm/Yrjd +/GvE/+47lwGXhV2Fm8a/bgrEI85NB6+FrwYfwNb5llO572GXqXUXP5u147Ah ++HJsD7Ep+GXg4eTIBR+l3lNiO4c5VwB/ifVR/BOe4SJqHgcvwhaEnPuGXwOf +S4484hdhc8D9nu3tHWueg3OwbHAn/xrgR7JmBvWi1MlLOLcDfi98OfYE7gcx +j5z1/BOcyb+7qo8VEPsZf5t6Y7+97P02/pionWkxfBr/0vDPkyMV3EqOHvZa +Sf2Pvp2BzkI932HtfvztcN1Jzu0Dt3iG28nXCj6KPYbfga2CfxC3u8rB/qlf +7Dq1RuMPgDdTc0OK3dEpYjOwTHJdYb8DcA7/nLMzm0t8qW97U89huHbPaivm +C/hW3HKPwvqI7eDc8iN2hxG4Hv6lR63HbvAAa1aAG/i3nHonienCH47/FX4e +toS1S7H54JfEN4Utp3L/YU1tzDQoLdbjV8bsDnQX0oC0oDWvwO/hD8esR/V6 +AeuDX4ZGHPlrPdOizlBnWejZXS5jP5+I/c36S6y/Rngy/mv45rBpUFpM4MfC +phFppYKcxyOmIWlp0LdedAe6i3TyzYuaRuvhV+LPDNkem8Hn+debbHvMI99O +/IvghcR04pcTUw2uI/4veCgwLM1Jey8807bO+JhnPaiXfCw7sDegt6A3r7ef +xL8JUaup2rOxGxG7A93FYGDaUE3V7vLtLHSn33zLqdw6ozbWhuKmRb0pva2J +8BtD1vMkcKNvb009dXimGWlHb0RvZb1vs0IzR7PnNDFviS2RXsFniPkFjhHf +RuzZuGHNGM0aaV7aV08P4eripi29uU7fZopmi+5oK7jKt7PVm9Db+OXbLFMN +1XoW2KwbQUwReHHCZsMs/MkJM+EmYqaCV3s2K6RpaXtKwjidqc62jBxVIdNw +f2A5lVsabgDXeNarNPbGszeit1LO/gbxk+I2OzQTEoHNRM1GaTAVflNgsW/I +cQiuJbDZLo1Ja32BzSbtoTSwGalZqRn8l97/A2sHzr0= + "]]}]}, + {RGBColor[0.679358375, 0.69013275, 0.6785905624999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFlktMXVUUhve99N4L5xxOMRGqYLSY6MRXTaGmE010pBPT0nRQxNdUWqwD +6MBH66PRgY9aE6MxKRdQMTE6sO1YDW0jVYFEE4M6uMCk6qyRGNo0/p/rJw52 +9j57r70e//rX2qf/6bG9h6oppV812jRmGprbU5rW/HCZUrOSUm+W0oEipQ+2 +pPRmnlJF58/XUvpd8sOSO6BxVErukPyyzh7RPK85daS0qvsPlbF+UPMl3f9b +eual72bde6EWNq7oe3s9pY0idD6mcUw6P5Pt6+XYP9p/W3c/0t138riHD19J +9aWOmBe1/6TkLuveE5rLqn2T/gHNuzRe0vpie6zxbUI6RmX3U91/pjOlEe2v +SE8t+1/3U9K1R7puzyNOdL5YiXnY+sGIOMaK8H3YmBBjqx6+HpT+U5pflkxL +ul7X+WHLjzhevtlv6jznju5+qJjv7Qw/d2jervNB5GVvSjJ/avRrr1NjvBa+ +9em8txHfrImTGOesczaFL+xz76TsNWXnPc3fyYdPdH6b1iuSPar7U9K5rS3W +t0h+UrL7NS9I7rx0/KWxVd8Xi/DniPA42Ih8gflIETl7XPNVx/aoYjlTj3jx ++S7zBx59WwR+z2URx+5GxNil860aK/r+Q7n5RvZ/kr7JWsRDLGCCfLMW8Z+u +h35yyLrf8xnvH2qEr/iJvzu9BvemcQNr9uHEWiPu/FKNvQHLX5DsOY1bq8GJ +ViVwxJ+m8YGb5G9FZ9+3BxfhITVXdd3h+5Rzul4NW+gH42nr+aII3PcKn/Ut +ET+xY/+8Ze7LIld3luHjoDm/0AjfqN9B+3/MsYMDmGJnynrgLzyG39QNPt/Q +FvlkH26/lQdeC5rvL8Iu9ofNa/AAA3K5ycNz1s+9Oa8nzFfy1lGEnXvk/wPW +ie4e2e9ujz6E//PGkHoszaWzzi85xy42NvWPGyv6EPLkCNmz5uLnrnfq/rf2 +0E/O8L3P/u8ybtiFs9QJ+JB7YqG+xh0veYSbP9TD/oLraVJjqRF3+WZuWc+1 +PHL/fhY+HXVcYI0MuaN+qKMredR0brvMR7zutu/kF5k5YzFv7DijzsGgLQt+ +fuycHdf+subr8ngX2Ie3YHXa2OIPuqmLehbcoS6pT3oE329k4c+o/O3IwwZ9 +Gg7ypmD75zzk380Dk0X3TXoO/R98+sqomZvK6FXI03/oB/QF6pH6oY7AZ0cZ +XO0to4bWXOc73ZfweagWutBDfJddm9TjjOMl1nHX46k88nZjFraIAW7D5TnX +Pn4R/37jA0/BiD18Zb/H9Y7+14qot+NF6EX/UB69Fk7Ae7gzav6Qmxm/O3uy +yAOcHXBs2Jp1j4JD2GmzLXBade9aNSasl/y28sZyb9b7xEec4In8ivsD+Vnw +/tdZ1MndZWA4Y/6QM3JHPPvyWPOeD2XRK78sIsZtzi81Rb3T6zb8P3DV73in ++d9y/0In3O5xXPCo5ZqC093er1qGHDzrN4i3aLffR3rDq661E3nYZ40PJ7x/ +ze8gdU4u+AfC3mQefFo1JoezqFPeLjCYdo7g8aKxqrh3/fd2216HY6QfEedg +Hti/kgdXlv3OYqdr8+3Lo+9PZBFjxZw/mUWv4V9jzPf3ZYHZovtO6X5M3f2Y +Rz/byON8yTL8b5Gv2SxiX3I94uO6/Vxz7GDQZVvY/Bc0yV+C + "]], PolygonBox[CompressedData[" +1:eJwtkz1IVnEUxo/Xrq/e/+1aIJgVpA1OaTYENhk52fb6ikT0AY0lvX4M1hBU +mjiFaCBF4PsqlIs1BM05VKSVBgkiLdWUtUlC6dDv4TQ88Jx7znnO1/82XSl2 +X4/MrB3sAd+C2cWc2QVwda/Z4czsfbXZ9wqzc8EhbjVmnfiep2ZvY7OjiJxK +zI7z7UCl2TI5bfAi/jLxt4jph/cQ00tsLf4h9MvojWO/rDLrwj5GzhHsDfwt +8CVyftPYE0q+gw+SfzvynK/BNaS1jn1SNv47kc9wDd8YOXPU/gVu4lvAfh17 +zwXsM5nPsoRGA/xs5rXVcxd8mpjtyGeaRX8/2Ih8hn3wu+jNoFUCI/AHfCvT +bwG7E7uAXUKrjvwe+B++1cMbmXcH3o3+m9h7Um+n//u1gw54kRnmc97DKPnV +oBG+BWrgq+AFIzym5if4Z7CIXcJeg1cmvruH2OdTn1GzfgGvEu9ZvW/j3yS+ +GeTRbgLt+Fszj1VN1b6cem3tWLueT3w29azZ2ui3j9k+gDx8Inhv6qkq8Rvr +1qqRx17B/wj/U/wf4SPBb6mZNXsfuEF/AewG15S2dj5F/k5wnzTuB7+xbq2d +PqOfg5m/Rb3hQ/BS8F3oJjPwUWJmY38j9+C7qd9G8+gW+gf0L+jNDaB9KfW3 +rJ3H2JPBd62bT8H/Bp9FOzih3on5GXsN1dJOtVt9W8YeTnz3euM/yP0HTeV6 +Vg== + "]]}]}, + {RGBColor[ + 0.7494840049999999, 0.7540049699999999, 0.7346438074999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNlT1MlFkUhq8wk2G/72MCiVugxsREhWql2QVXY7FbWTpaaDQxsdQoURPj +z64/cXQtdxUHBIT4M2ijNmqtWNqQXSwBWa3UysYGwffxvCYWN/d+d849P+/7 +njPrDgzUjrSklJ5qtWqdLlLaosPzLKWxSkqPSindXZHS+XJK57Qey+Zv7Q91 +f0f367XflIMnur+dh/2Q3h5qD/vjOndpn21LabP8rtT3Jb17I9vl1vCLz2HF +GtK6r/ejlYhN3KbWO8ea0F6V/Tg2ediOaW/I9rrWX7Z9b3vifyiFf34ftM2g +Y3FeyMP+WBa272y/W/d7dV5TVSztF8pR4x7d79P3H8LpYHu8+V93/VlgsVHn +Zzr3q7YuvT2pu16tpr6zUnxz/iibYe1/yk+mtUr+c+11/d6t9Vq/3VCOy1pz +ituU3ye636p3vdXAc5P2q6W4B9M2Y/pTNer9Vee3uq8XwdHJLGrhDnzAEr7A +c0n2I1p9erMjC363q7435cAHXOYrscNJZ0vgCCbUSlxwmzMXxIAfcMZ2m3z2 +6LsnDz99tu9oiRrIf0Dx/tH5Yh7xR80j7+rGBC2hI7QB72iVOjPh8dk1n7GG +0fJCa7wD80vGoW68sUED8EPcqRS6Q39gAn/U9ls18u13zhPGDPstqmsjnCn3 +jjw47tReK0dd9BX59jlnfMNrQ9/j1jBapk/Q637nON4S2MDPmPM5ao2iu3H3 +CX7gh54Eq4Z1g2aor2Gd029g/G8ev4+6v1Jb8A6nI86Ne/CYcI0Pi8jnlOLP +VoIXeKemke/8LPs9nA87LvnDGTZZe+CO3ldXA5dV1mrD3OXmkfw3K94GvX9U +RJwl5/lzHpwdbw/80Be1vdL7Ia0rOq8txRk/7MO+54wdOJEv8bD57PNiJbSC +ZqZ9n9kGzHk3ZZ8N+ycWNuSP/aL1D2Y183jTO7h1Kf97sv3kniDW5RUxV/CF +n3nXC8Yzzpn8J/19xVzPOB/6btYzDt0RC+0xX6j9bBFvF9wLaGOfY+3MIs8H +hev3fCA/8lynfOt5aIIeHXIccKdPX5RDE1vzqOPHLPKdMUboBiwuF/Gmw3zx +7oLfnihFnuBKzEnXeK6I3w7L97VS9Ne050bNNb52XcT+z3OSeUk92NSywPWE +NUEPMdeYZWiQOQ/Ov1fjvNt93LQGuOt3D4PxnPl9WcTMZ/Z/m4/MB2YcvPbl +oalla4Ja17t3qHnWflj8DubU0u0a0RR5ozG0MG9uBs01fsix133KvIaPW3n0 +1Jx5+sW8wM+k+cee/uHtLv8XMcfAHMw2eHYt+j+oae3dM870Iz1Pvy+YL+5n +fMb/t36gvu48/DMv4a7TvfCD/7O+/nfZJ7G+AOKUMgY= + "]], PolygonBox[CompressedData[" +1:eJwlkrsvhFEQxWftt2G/+9mQUOwSIcGqrMYrHsX6CyyNkHi0glAIIR5hl9JS +2MIjNBSyW+k9Sh21AiWVPwC/McVJzsw5d+6dmds0s5CZLxORduCBAV8kCdkF +q06kGvjwI5CDJytFWuGFsMg33lqQC4lcEcfRG8F+yDxJeDom0oM2TjwEPyW3 +h14oF5mnVju537B57qhVCkRa8GZ41AjxCjiFN5N7Qmt1xrcjItPE62CCuI/z +a/D6mN3VS1wHz+I/1Hr40+gp6jV4dmYMLePbXWegiD4JNvFugSn4RmC9LuPf +hOcC8+qbsvB3anx5dmaWfpqczUJnoLN4wPMRMc8id12QK8IPyC2iRUEcXiJ3 +iXYCruFZztfgT9HDa4V51LuAvuLZTqqc1dBan8RvxHPO3qo9aq8/xDH0c+I8 +PBGz2WjNDvgong7Pampt3YnuRt9w5mwGOgvdUZT43rdZJ8j5lfZH9K+0gUG0 +HeK8ZzU74S4wr+5cd7/k21t1Jjqbbmdn9Q91wZ+d9X5L7gV+g+cxYjMb5my/ +b5ruVHerf0D/gnrUe+zbLLVn7V17/u9d/zT8Dw60WQU= + "]]}]}, + {RGBColor[0.799195625, 0.80307423, 0.7779198425], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJw1VLFuU0EQvDxsP3T33IEQFYkUkhKBBE4kQsEnAFJEgaNQBBpCbYGgMBQx +aUFOYmiQ8ggfAEpSodgfAHRAid2hBHfpmGEmxenWe7uzO7P7PHX/8a3VLISw +gnMK5w5+XMTpw36F+1wlhNFECGPcf3HW4XtShLBZDeEp7vNJMWdjCNsTymdu +rIdwtRbCF/gXM2GVeN+oyv8Cvw9wf4DvAPF3gTOEfSkqljUZ/xb+j8BPqNXJ +FM86O/Ct4Xc70/ufiuxhUp9XUL8Fewa+hai80rX2UXcPZylTb7uwvwbde7Zf +I7eJt3tRcXxj/o0oTGKz/+1c/dyGvQVu05lOt6pa1ImcyW0WORfQ2yTuh+Cz +jLhN2O/McbUu/ox9lMSP+G3rQVxitirCoW9QUy5jJo0/lYRFP/VrmsMn1Jyv +aF7U+EyUjr2kfrfcJ+tyjuQ1Spr9A+TO5eLC2R1n2gXqeoj3X54H37vG4Ux2 +3Bvj1r0D5LRm/DLXb2rJ9yXHzHg2nAXxGrm4cyYd5/Zr8rOfHFzeo9Yb9Psz +Uxz3kNilNbxs3sR9Dj494D4r1DO5ndSZMyb16JkL57/o3pon9YP2Zde79LnQ +7g09h2nPjXXnXftmoe/rZRKPY2vD3jvu+1pSTiOpl4Z7Y61la0JdD605Mcb+ +Njnblnfjh7XoRHHpej+pW2nNafOmtt+T5vjNu0ebe8C6+659VFE99jqO2vvZ +umqTO3Xgt0f7dNQODvy9rxTK/53k69vPXmi3re/I3yk1olbXozTou8///xk1 +zYC6HVk7vg+M8w+ZOrI6 + "]], PolygonBox[CompressedData[" +1:eJwlkb0uxFEQxcc/u0vu/LcjotpsgtUqELHxAtshEYUVElSofTdegYTdaETB +A1CovAIdOh+dYBvR+Z1McZJz5tx7Zu6d6srWzGZmZhVQAFPJbJBCBVFzs/3c +rFU0my2ZdfA2qL13mbWpHeK9or84ewV68X/BNrwfDOCNgHnyhsE03iV6Dv6C +/wi/IWMJ/YO+hfek4B3wgX+PHqP3Kf128B887qqnelc9ZlVP9X5Df8MvQDe6 +hf6EX4Nz+Hoe2X/0XIX3pZh1EtTx6+ihLGbUrJ7H3SN0gjfKZnelmLnJ2QnO +jBbijXqrMpSl2rhHD/XSTGvwE4/ZmtSOPTKVrTcmsvfQZ8X44wWPN+vtqu3K +o7acxQyaZTFF1jN4wquVY1faoXbZ9tiN/kB/cZDH7rRT7fYf959Cmg== + "]]}]}, + {RGBColor[0.8630773333333334, 0.8665753333333333, 0.833947], + EdgeForm[None], + GraphicsGroupBox[{ + PolygonBox[{{1191, 1188, 258}, {314, 283, 210}, {1646, 1186, + 283}, {3255, 1490, 3254}, {1646, 1647, 223}, {1414, 1191, + 258}, {2965, 1186, 2966}, {3034, 1251, 2653}, {1191, 1490, + 1188}, {283, 308, 210}, {1186, 1646, 223}, {283, 314, + 258}, {1188, 283, 258}, {2654, 1191, 3403}, {3173, 1413, + 3175}, {3046, 223, 2568}, {283, 1186, 257}, {1251, 1292, + 257}, {3403, 1191, 2970}, {308, 283, 257}, {2567, 223, + 3044}, {1188, 1646, 283}, {1647, 1646, 1188}, {3174, 1413, + 3173}, {1186, 1251, 257}}], + PolygonBox[{{2698, 1292, 1251, 3034}, {2970, 1191, 1414, + 3176}, {3378, 1647, 1188, 3045}, {3254, 1490, 1191, 2654}, { + 3175, 1413, 223, 3046}, {3045, 1188, 1490, 3255}, {3044, + 223, 1413, 3174}, {2568, 223, 1647, 3378}, {2966, 1186, 223, + 2567}, {2653, 1251, 1186, 2965}}]}]}}, {{}, {}, + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{2698, 3034, 2653, 2965, 2966, 2567, 3044, 3174, + 3173, 3175, 3046, 2568, 3378, 3045, 3255, 3254, 2654, 3403, + 2970, 3176}]}, + "0.885`"], + Annotation[#, 0.885, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{2621, 2937, 2622, 2856, 2871, 2870, 2876, 2581, + 2841, 2807, 2849, 2848, 2855, 2619, 3367, 2802, 3197, 3198, + 3199, 2925, 2607, 2905, 3196, 3195, 3194, 2753, 3338, 3082, + 3083, 2973, 3438, 2974, 2971, 2972, 2580, 3043, 3026, 3027, + 2981, 2620, 2949, 3138}]}, + "0.8260000000000001`"], + Annotation[#, 0.8260000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{2617, 3247, 2643, 3245, 2642, 3246, 2681, 3206, + 3205, 3204, 2680, 3275, 2616, 2854, 3169, 3244, 2641, 3401, + 2977, 3185, 3041, 2674, 3266, 2673, 3434, 3042, 3435, 2675, + 3167, 3168, 2825, 2824, 3630, 2752, 3609, 3650, 3651, 2904, + 3612, 3611, 3610, 3632, 3631, 3081, 2978, 2711, 3070, 2961, + 2948, 3439, 2947, 2869, 3443, 2644, 2927, 2832, 2833, + 2950}]}, + "0.767`"], + Annotation[#, 0.767, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{2697, 3436, 3068, 3407, 3067, 2958, 3023, 3022, + 3066, 3377, 3376, 3409, 2707, 3437, 3202, 3203, 3050, 2679, + 3049, 3274, 3273, 2853, 2563, 3162, 2957, 2976, 2975, 2585, + 2899, 2900, 2729, 3320, 2728, 3321, 3323, 3322, 3324, 3136, + 3135, 3134, 2615, 3628, 3629, 3627, 3658, 3657, 2586, 3183, + 3184, 3165, 3166, 2565, 2537, 3024, 3025, 2959, 2960, 2566, + 2538, 3028, 3029, 2962, 2963, 2964, 3139}]}, + "0.7080000000000001`"], + Annotation[#, 0.7080000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVzjkvRFEYgOEzorHNWApaVFR69JRIJDIohhqJKHR0WoKgpJCQ8CPE/heY +GYOY2LfYDc8tnvve851zc099arR7JBZCGOeo1KM8hBX9KwthWTt1SWMVIWxH +c/tb0TnrSYath0ixaJ7TBX3VNX3SF57Jl4RQbNbvPckZWebNHvSRW+6548r5 +Intv/pPTRj3Xbnfqos77gdkhPRxzxLr5p34xwGX0T/3gnQvrXy0wyA/f1Jqf +6Cm9ZEgzY97qPm20E6x3ovu5Q540WTK02JuyN00fcd/HzLKaoJJr81WzG53V +pO92dULjJNizrnJ2I7qrc5ta0DntsL+vY3qgNc5V00wTDeb/MhdK3A== + "]]}, + "0.649`"], + Annotation[#, 0.649, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV0slvjVEYx/FTieGWew1VOt1S2gUJNjQ1a2JIhI1EWyxQ3RhCQohEYh6K +GnbmWWJWSxv8A8aY2goi0dvZbKs+Z/HN9zy/57nnfc+5b0ntpiUbs0IIX1CW +HcL9ZAiNqMQxlMoe8Fhu4Dm4h7vYJiviNPJRiAIsHBjCGL0tg0LYjDrZNHW9 +dSV61N+wHN3owjq/yTGz27ocf/EHefKX/AqzcRQl5qrko/mIehZe4Dn6yzv5 +g94ybuEOXivfxTsxBZ/lv3mk/Fk8k3om1+MwlsoP8UHMiOfVf8p95f2QSoWQ +RLO8nJs419k+cQ5/5OE8jPvo93BpPDeXcScX63fHO+QuTnMmEUIvaqyrkRff +Ee/1h6iHIonBSCFbfkX/Kh6qr/O1eIfyCbwdrfY7z2dxDotQp3+JL2MxLuIC +EvLv/AMr8As/8Vo+zv7j0eD8VfzPvhXWBShExkyhvJ3zuY0L4jtzkz0e8QB+ +zAk+yV/5DU/iHZhqn1XxTuKevJ73yvegAh2yXs6VN/MT9Vw+jhOYL2/lt/Jq +fscZXh3vV6+IN3Ca98XnIcv/EzBC3hK/HcyL74eJ5hbI26zbURO/H7OTURuf +zWvif8kr+ZTZ0ziDreob5m/G7x/7USy7w6P4AE/HbdyKZ8F/dld0Pg== + "]]}, + "0.5900000000000001`"], + Annotation[#, 0.5900000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVzz0vQ2EYBuCni0ZbH3/BJtFN0l9AwoDqItUOdKqgYrHaW5UwsdSPwKAz +s9TQjwGJgRpFsLo6XLnP83He95yZykGhloiIDbrjEY1MxAl1TmnyyFw6Istx +KqKjbk9E3PHlnT5neucsscy33oALz5essMqf3jPXzrqhzqFzGnJLblPhxU7O +/o/7ZtW/o1R35PxkxJNMyTQZ3uzf22vpF+SVfJBN+Tr6F7km86xzZNZzZ1G/ +KzdlX46ZvfPBLntMmS2YVVlkWl3T3+eTIUkGZmWzW88lueOOpG/L8w/xXTOv + + "]], + LineBox[{3294, 3240, 3241, 3239, 3243, 3242, 2532, 2867, + 2868, 2695, 3372, 3447, 2531, 2553, 3285, 3231, 3232, 3154, + 3286, 2554, 3287, 3233, 3234, 3155, 3288, 2555, 3289, 3235, + 3236, 3156, 3290, 2556, 3291, 3237, 3238, 3157, 3292, 2557, + 3293, 3655, 2720, 3622, 2721, 3623, 2703, 2896, 2726, 2932, + 2829, 3662, 3663}]}, + "0.531`"], + Annotation[#, 0.531, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVz7kuhFEYBuAjGY21ETSCqAiFIIyGsY2daDQqibUwElMOhYhERSzRUJIo +FNwAxjqWK0DhBiQSes8Ub57zfe/5T2aqpxMTSzkhhBXZzAvhOj+EOK/Yzxu2 +FoRwywFzmoO8Y5v9A4fM9xzmI6P2GY6YnzjKZ7bbv3LM/MJxvjHXPl0YwpG5 +iSm5lWNzM1eltiiEOimXmDToJn1bzzJzqbRLVCL2laySYunM9u51sNVbp3Ii +SbsPd5f4zgQ/uej3LMhy9v+zJHtHGs01rPDOl+8z5n7uy4FM6fa4K3H51Ufc +3eClro+H3uvlvP7Pbt35gj3c0XVzTvdjt+Z8zi5u62Kc1X3bpZzP2MktXQdn +dC3OSf4DSlg6sA== + "]]}, + "0.47200000000000003`"], + Annotation[#, 0.47200000000000003`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVzj0vQ1EYwPHHQtD2O9RkMlBfgEUwSYwWUd3Yu5H4COrdiCBY9FW72sRS +BhLsRCVStfXX4Zf/Pefc+9yTXl5fWOuLiCWagxETiYgMJ8MRZ5zyYP2pX5xz +yQWP9r+1xRU3XPNLwtmLeZueN5gciti2V2COedrOX2kmI0rOF7WsT1rUAa1q +v1b0WZM64tuWpvVHs+avsNq7k3VOp5jmzno0FVHTGU3prjl7zLJDgXs67pLX +MRrU2fJ+25wOf4zz4b26Nqj2/kGNd/tH7nTMPocc8Ga/7LzCLSWK/NMFAW8+ ++w== + "]]}, + "0.41300000000000003`"], + Annotation[#, 0.41300000000000003`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV0Dsvw1EYB+C3anFdUDaXtqTtUlMlRSSiEpfFwuYyuqeJqaPJzGb1ESRs +fACXhCYSMTBLxMAiIp4OT37nPe857//kP7ixt7SbiIh16i0RubaIPLXWiHd5 +2x5xw4feIxnrLGlGGObO2Z6OiBQV9Syfzj7RZJ0kQVV/n1Pnm9VFJjsj/tRZ +OUOFqu8uyh/7ZTnBOEn7q6zxq9cvc3LAnLw8U5fZsq7JTZl2L0MX3RQab5XT +3nHJBdv2rszYkddyRZ7LZTmk/yb71L0cmfuqTlnfyzGzXmRJLjBPXe+78b/k +HCcc88CX/WcOzC1w6O6omUWm+AdT+C7o + "]]}, + "0.35400000000000004`"], + Annotation[#, 0.35400000000000004`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwNz8sqhGEYwPGHInMgXACNxVAOE0s1Tdk6NjWzUExZOGxICk2Oa+6CuQKx +cYi9DbeApc1YIE3mt/j1n/f5vvf5mszKVnGzJSIWeU1E7KUi9vlPRhzpMYcc +sEvVfCQdMcowOcZ4Nh/vipiggwSf9r0w7d4MwRyznHm/oQ1d6Iy45Y5tszZ3 +f8wrzr/a7txqvsQyf2Z9mtV+3x7UC+dJ1vyu6qpm3Bugmx6GzHp1yt4brlk3 +u7djQx+0rFda0m+tadq+FDtcOs/rub57/sEbT3Y9kves7j8n9dQ7dT3RL81R +oAlp5C6X + "]]}, + "0.29500000000000004`"], + Annotation[#, 0.29500000000000004`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{2512, 3269, 3270, 3268, 3272, 3271, 2612, 3207, + 2611, 3427, 3140, 3141, 2540, 2511, 3538, 2737, 3412, 2738, + 3539, 2736, 3331, 2740, 3330, 2739, 2835, 2834, 3366, 2799, + 3188, 3189, 3190, 2913, 2914, 2765, 2915, 2881, 3193, 3192, + 3191, 2741, 3540, 3332, 3333, 3249, 3250, 3248, 3318, 3317, + 3526, 2543, 3080, 2952, 2951, 2944, 2685, 2862, 2861, + 2878}]}, + "0.23600000000000002`"], + Annotation[#, 0.23600000000000002`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{2817, 3587, 2803, 3398, 3473, 2906, 2754, 3341, + 2756, 3339, 2755, 3340, 2571, 3358, 3359, 3090, 3361, 3360, + 2763, 3348, 3555, 3554, 2539, 2510, 3122, 3121, 2610, 3507, + 3508, 3406, 3506, 3505, 2572, 3259, 3260, 3257, 2661, 3258, + 2852}]}, + "0.17700000000000002`"], + + Annotation[#, 0.17700000000000002`, + "Tooltip"]& ], {}, {}}}], {}}, + AspectRatio->1, + Axes->True, + AxesLabel->{ + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + AxesOrigin->{0., 0.}, + DisplayFunction->Identity, + FrameLabel->{{None, None}, {None, None}}, + FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines->{None, None}, + GridLinesStyle->Directive[ + GrayLevel[0.5, 0.4]], + + Method->{ + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, + "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, + PlotRange->{All, All}, + PlotRangeClipping->True, + PlotRangePadding->{{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, + Ticks->{Automatic, Automatic}], + GraphicsBox[{GraphicsComplexBox[CompressedData[" +1:eJzMvXV8VEfUP4xTKFCKu7uG4npwt1AoXqxQ3N29uAR3CE7QBAtBYgRCkBAj +nmx2N7txoMXtXXL3O/PM2e6vz/Pfm/L5TM+9syNnzhyfuRVHT+s3NluWLFka +FM6S5XvJ/5yqdLP8cyUV9hZw1PUpln8B7H2QgDNfR4UJOFJ7IODtmfUTBFz5 +O+hkEPC1zOqJAu6S2UGSgCMy20sR8KTMAaUJWPt7yWA5r38vvQWM+anvgwSM ++QHG/ABjfoAxP8CYH2DMDzDmBxjzU9flJYPlOv37vGSpzs+bzc+bzc+bzc+b +zc+bzc+bzc+bzc+bzc+bzc+bzc+W7v59neS8eIn5Acb8AGN+gDE/wJgfYMwP +MOYHGPMDjPmp++Ylg+U++ne687aZh/pelur6BbH1C2LrF8TWL4itXxBbvyC2 +fkFs/YLY+tnyhX/fR94268LnAZiXmB9gzA8w5gcY8wOM+QHG/ABjfipfe8lg +yef+nS9429AZXxc+D8C8xPwAY36AMT/AmB9gzA8w5qfy6ZfE+fbXb9//4sT8 +VNhbwJif+j5IwJgfYPQDGPMDjPkBxvwAY36AMT/AmB9gzE+FpVzC/Dif43yB +7yNOd3ydAPMS8wOM+QHG/ABjfoAxP1WuviR7chbz43yb8znOF/g+4nTH5wGY +l5gfYMwPMOYHGPNT9YSXZE9vwPy4HOJ8m/M5zhf4PuLrwucBmJeYH2DMDzDm +p+o9L8meHoT5cbnK5RDn25zPcb7A6YyvC58HYF5ifoAxP1WPe0n29DrMj+sJ +XK5yOcT5NudzfN9wOuPrwucBmJeYn6qXviR7eirmx/UeridwucrlEOfbnA/w +fcPpjK8LnwdgXmJ+9vRuzO/f9Tiu93A9gctVLoc4X+N8gO8bTmd8Xfg8XtqU +2vicRamN30OU2vD8RKn9LlCUmT9zChFl18yGIkQ5ObOhGFFqz3Wi1OavF6VW +zyhKTY6ZRLkts6NkUVbK7DdVlNo400WJeWVhf3iOdgGjXcD/3o7EG34PfOH3 +gPEe+MN7wHgPfOI9YLwHfvEeMN4D33gPGO+Bf7wHrP5ex36vE++xPngPWG3f +yNo32uCJ45njieOR44njkeOJ45HjieOR44njkeOJ45HjieOR44njkdM5xyPK +/9oH4APYB6gHWMVnOsNnuk07Kn5f2oyDtwuY7xvst//ql7/n/XK+xfc554f2 +xqHqER5Mb/Bj/DRQwKAbwKATwKAL9b2O6SF6Vl/uj/+/jYvrPZz+OL1xOcTX +mbfH6YWvH6cP2DOAIScBQ04C5vrsf9UDDPnJ9xfXG/h7PNfmZRbl1cz2k0Wp +rW+GKLX5O4lSlU9OAi+8Purx59r6gS7iBazhM0HAGh0YrfOPFc+1UidgDe96 +AWvzTWT1QUcmMW88x7wBd87sN03AGD9+B5i3jxL44M+1caYIPPB2tHGn2/SD +Eu2CHrgeotrlJhs7iPNFrkfjOcbD8aTuP1u8/ft4s2TB+//tOqJfvo6A/7d0 +w8eNdjkdAObrxNdTHVe6zfqCbvi+UPlmBtPPnJje4c30O2+2X3zFOACrfNaX +6SkBTI8JEO1NzSyfiPYAoz3A6viC2PiC2PoHM/oNZvMPZnw3jMnXMNFeZrVv +L0R7gNEeYFVviWJ6TZRoT+Or0aI9wKqdHc3kSBzDdzzDd7yoDz6O+qBLVV4k +iPrg86gPulXloJH586C/+TM8y3XGe3U/+Nv4I9BeZjNVnov2+DrjPdoDzP0Z +aC8TvB7K8CDXGe/RHmDuD1HxGsn2axSTs5GiPcCqvyRW/B4w97eo+q2O8T8d +oxMDoxPJtwCremqiDV+zx5dUPEg+xf0g6B98mMtz7ldAffAp1AfM+RTXh1T+ +aGJywyz4pqqPpdjoAfg910fAV1W8SXmo6hkedv0CGuxq8x7PNfLxs+tHAN/l +7/Ec+i3qo8Rz7Ef+Hs81vhFi10+B/cff4zn0Z9RHiefYb/y9yl9j7PpBsL/4 +e/W5TtTnfhPVHo0T+rs9vwr2H3+P59Bv7PlhVD+4fK/q0Ymi1KaRLvQd7pdR +6VK+V/2DnM5cGR1dZ6WkK5R4rq2Pryg5HaHEc8hllJxuUOI55C5KTico8Rxy +FSWnC1Wuxgi5iVL1N8QJOYmSr7sap9ELOYmSrzNKPIecRAm+iRJ8CCVfZ9Wv +my74jlpK/mqPz3I+rPpPbPXI/5LTXM7/lxwGjPr/JWe5nP4vOcrlMJejXM5y +ucnlKpeT9uQm9ovqH/Nl+orUm/H+v/Rc/p7rqVyP5Xou10O5nsr1WK5ncj2U +66lcz7Snh2Kf2NM7sS/s6Zlc78A+sSfXuVzmctueXsH1DvA/Vb4HsnmGsHFH +MPqKYe8lfYGfqPWNbB+nsvGkW9fXhdnpLjYl+Ls2bk8bmJegS+xrDvMSdIl9 +zWFegi6xrznMS9Al9jWHeQm6xD7nMC9Bp9j3HOYl6BZ8gMO8BB2DrkCngHkJ +OgXdcb8Q2lPtLKOQ69Bjsc6gD9CN6pdLF+NR49h60Z86PxOTe35Cb1VhV0E3 +Kr0FsnEGCr6o6gm+TB/0Y3pCgKAb/A77Du0C1toPEnSj8skY0S5g6BmgG/xO +1fsimH4YJegGv1P1vxgBq/ktCYzejEw/NTK902ijbwA/al6Cn1g/Vc4YBX7U ++GegqK/KHaPAD+oDRn0Vn0aBH9RX9XITkztGgR/VXxgj6qv7N5Hh3WSDP/BL +1AfM9SwVf+kMf+miPt+Pqh7ux/IHpJ2t6nd6wS+hf6lyJFXQNWDUV+3TQNGf +6vdKEePB/lfjPxLG/lTtXWk3cnpRx2W20fc5vWC/qfgNEzDXz1W93GAjL7nd +pK6rWcCYl715q3aa9DdwWMX3SyZ/U1n8LFDwP+wLwCr/cRbzUt/r2HsZx1Lx +7cL4n4doDzDaU99LuaDqL542fFvlf36iPc7n7fFx/F7lvzrmh0i3ize0Z4/v +oz3AWA+1frrddVD3le26cLxyvPB5crmBfQ+9gq8zXyeOZ443Pm8ud7hcgR2C +cWh8BnqvwYbOOJ2o8zWy+RrZfCWf53xcjcPLcWE82jokCrrmdPnvenWqzTpq +v88QehOnM04XqIffafjgerPUQ1W5Yqv3YV7crlfXIYX16yL4kmoXOjH9/rqQ +H5mPLXozYIwPMPRewKA/NV6ks9sPt8e4P/ff+ZGH4JvquifZ8DX+O3txIVW+ +mu22q+rD/2U3mYU8UOOK0q5S43O28bL/qgd9TvVH2MoZjS7MotTGjzhHvIC1 +9iWs4QnrEieea+3EClgbh07AWqlj9W3jsXjO5aqa/5LC7O1U1s//fVzgB9p7 +4/8RD6AHk2hHm4+JtSv1WeBda+exoHOt3yABa/2GCVjVV2S8TR1XPNuPCWIc +2jglP9aaMwhY+52R1bfVu9R9Lf1UgHmcTnuvt8EzYLU/+3hU9XwXsa9R4rnK +N6U/H8+h53E7XZUjOibvpN2t6tWyxHPwddAp+A34nGqXIW4nS+6HB17t4V3F +F8czl7/SP8j9Yyo9/9/phK+T+vtTotTqh4pS5Q86wdeAP7TH7UOsq+qPiBDj +UfEs8/zU+jpmf7iIfrIof4FCr8e+BN1hHHiv2v/I54ixgdX6chyq3HJlehB+ +bxTv1f69SW3fm8lBb1J/783kqzebp7TjAKt6agDTK+V5t/83Hr1t9FjwP3W8 +QTZ2DugD7/8dD85snbyZfh9go9eiPuQk3qt2dhhbpwhhBwOGXQ3+oq6jPTrw +tsErxwv3C/3f6MjbZp04njkeuF+J6/ucT2nVEpj/IkG85+d5/t90LelUxcf/ +3q7n9gHWCeuj+ivCbOw4NX6ZIfwv6B90qNL5S7aPnIU9Af6i7hPYZf525Bo/ +J+oh6qNdjAfvM4dv0dPVfj1Yv0Fif6M+2sVztV6YmCfkKH6n6pkxQi6p+Wsx +Nues1Lin3ka+qvRlsLHbAGOfYV1V/DmJ+WigjBfzeLCGn2AxLshFrf9UUapx +mVRrv/I9j7tBj7mRWe8pyzcLFu+1ccm8dtU/ifbCbfymmIc9Ow3zU8+TBdu1 +47jfFOOwZ+dxvymXu9wOVPN/oc8nCfypeoSe6TdG8Tu+j9EunvN8XjznfEBb +T9gTtvWgr2t487HJ87OnZwFW9ynPC/Zk+07mQeA51hP0hBLPsX4YF9aL67Vq +3FRnk4fA9x/oXz2nls702gyG/3TmX7CN8wEGX1L3pYz7gf9h/+I9x5vW3H2b +9eFxQfA/7B8ePwQ+sU+1cTxmfEzqpzzvgcsJ1FPtbuAP59zSRT/cLse8tHZO +WfGxktGTq3V+d6ztXGV4Bn/3Eu2p8gP62CMxb9CTqheEWtsLYvsfcjZC2C8q +HcUJvV5rL17w9etW/QD0pub1Qz5ALujF8/DMH6YJfqHSRZYsqt2EeIdJ2O2Y +P/Yh1h10qcbRQsT+AF4AQy6iPvYd8AB+Df4N/AHWfveCjcdVjAf0r8Zx4wQe +MB+s0//WbwB+hxJ0++/3dngK/gF6QvuAgRdOVzwOqo5LL96rcUVpf4POeBwS +sKpHGG30BtU/KvUIVQ4lMjtbngPg71W99pQVbwes/buLEvyL5y2o+LovSnt5 +C8Ab9iVK7EfoC6rdHC/wo8ZJ45m81jE8pAo5DP1GlY9pTI6mMrmdzuSuzAMD +n0N90Bs/P6PmY2eI+vbGoeYxJIlx2RuHyn+TxLjsjUOVb0k249LWKYPF16X/ +hPtT1LwuqW/gd2p+cLKoh/4Aq3lysj4vsb/BL/m4AcNuAayWaTbrxp+jRD/c +L87xoPpVEwS9g4+AXtU8ccQxjKLEc/XcotRPIH8Bq3b9VSE3oTdgP0IeY79h +X3K5CJjrTWp+vN6uHcnzbNS4ryzV/ZPG9HTE5SUM/QFyHXhW/eLIu3tgfR8p +5Bb4JH4HWJXD6SyvPk3QI8YLWF1XXyE/NXwEi34hD4FPyFM1z9WP6Q9+gv+r +fNco8IHfg5+q5+8DRX1VbzQyO0rP9AED8x8Zmf1oZPqCQcg3vMf8AEPeqf6S +aBu7CvoM8AZYK2OY3nxd6H+ge8hhjFerHyb0EzXOFCPWGTD4pepHT2D7Vup7 +Kp1IvQP0oY3DxUbv534OrsdjfVT/STCLC0WJfoFf6POgb5WPyLwlVX762uQx +qfafzAPFPgOfVenQdt+qeSa2eAd+tNJDrCf2L/a5Nq5AZifHCXrC+nC9APNB +P8A/YPSnrcNlQbfAP+gJMOhJm/9zgRdVb04Q66DeTxPL4nRxYn+odqtBwOBP ++B2fh+oHCxD4Bx9Hif2Jefw7/wkT48d7Pg9+DkONJ/G8e7Qr+auqpxnZfpfn +VtX4eKKop9oBfsLegHwD3QGG3MG+hhyHHgH9AO9B19xfop4DSWbySuovalxb +wmgX+FTz0y4Lea3GAQPE/LAP+LkI4FWjcymXAWPdsb/UvBxvsc7qvk8Rz9V4 +to7JI5kPCFi1352FnIA8Qjs8n0eNR0o7CPQDOwDjU+0p+BMfMHtU5v2o+Yqx +oh3gj9vjwK+af6IT/EJ7f4rxdScGOwv9C/XBP8DPsK8Rz1ftOOmPwXxBh4Ch +Z6n2ZISgH6wj959hPVQ9NkrMm/MzrBf6QzuqPNKzPE29oHO0AzyinipX5f1S +wCfwp5UHBD7Ar6Cv8fHwdVf11hQmH83ML4A/T5Y/HyDoF/jC/Hi+Jdc3eb4C ++Dxgfr+Yeg5H5gupMLdvUlie1ks2fhehp0MO4Dnq4feA1f2it6mntpMh+Cv4 +Hege8wJfhp7O7TTVnuLnA5MYXUm/OWBuZ6J99b4t5JNkMDs+mp2T0Qu+wu0O +1Z8p82ZBR+DnqI/9Bnrm/lCVX5mEfglYex/P9EZJJ4Cxf4Bnnuei+vtlfrHq +fzEyvUHGIVX5Lu/XxDhUO0+uKz+XgefYt9jvqr85WDxHPdVOkHaG6rcPtskn +x7zVfCuZZ8btfXv11HwrmZ/E7yFU43k8foZ9rbfhA6qcQPxU5vtALmBfoB20 +C7xiX6J/le9nyQJYvYcvkulbkIvSL6LqlzI/CfxStVc8xP7BflD5hQfTS/yZ +3u0n5CTawXPU43FZ7hdV8enE/CC+gu5V+1ielwK+IadUv0aqoCu0B/0Dv1f1 +Ey537ef52MvrUc+VJtvoqYDVuNYpgX/MH3oMngO/wAf4Fp6r+kqaDV2o5/6Q +NyXjMfi9Np5HFJ35P88E3an5YdECL3gO/EH+gA6ATzxX9VSZx83pArA2XoMo +Qf/cP47nWGeVv8oSdKTyU+mP5n5d7reFHOX8yN7vIM+0/jKseILeCr8r6ALn +NnGPVIqop/4una2rPJ+s3neTwuSD9Fdx/xPWU9XvI4R8U8/BJot1V+0o5Lkk +ihLr8e/jlOc6VPoH/woU/WN/q/5AncAv9BnOR7EukI9qnEaetwEMvgU+DTkL +PqryRxfRLvgk6JzbWZDj6r3Hfmw/cL4t82oAq/d5SnsN41L9YSHivaoXgu9E +ivf8Xl7u/wbegWfokeDb6jwPCL4GPovxaOMOYXJTxo2gR4GvQz6q55Oh58l7 +HDF/1b8QyuInMWLfg+/z34EPcjnx7+2axDy4HMF7NS9Dljw/W9VHbOur+cwm +4d9S/Q9BDA5j9naYjZ4Juud+VTUO5SHWGXSrlfI8K/a5Gh+NFnKYx83Bv8Cn +tfa9xfpgnFo/Mg9AqxdvY3/zuAWeq/IIcWrEi4MF/aNdbdzw48k4kBpHMwh+ +rNoRK8V+Uf0UfgJ/ar5ZjLBz7eUxwm7Be9Ar2lP1fGcW33Bh85f5BVhX1Ff5 +lRPzG0eJeaj6vb/AH9Yfv8c40S9gtAe64XwX7annKXXMbkCeZLiYt4oHJxs8 +qPMMFPXRDx8H13NUvAXbzctQ44V6QRecH3L+B3pWz/caWVxA6j/Ig1fPC+uE +vITfSvXL6pjfUcZtwCfBXzU70SzwzfMMVbvJLPYtYFVftz0PAr6H9QN+gG/g +B3jneijkl6qH8PPoOqGvqXnSGUJvUeN/aEeW2nhOiFLNh5RyQpXHtnIB88I6 +ol/oKZg/6A/PVT/fdUaXMm7C83gAo74av3JhfMSV9etpkwfE9wXkDfRN7APA +mO+/z8NPjEPjow+Yn/05k1v25Zoat5V+Zq3/q2KdtP58hBwEPtCeVu+xgEHP +qK/mlerE+qnxWKmfQp6odm48i6tJOoRepertGTb3VPA4N/x/oHv13JmMYwHW +1tFLrIPWr5fQpyDf4LcAPsHHON2oceAIVt/VRi8BPgGregHsoDRhB23NfC5h +NX9XPtf4ioS1Mp3JYyPb99LfBRjzA/2CfrCfQZ8qf7KNA6qwjA+Bv2p4kLC2 +f2RcFnjEe20cD8X6aPUTBHzdqjdct+o9mCfwDX6BfYp9DXrXnt8XfBp6rJp3 +GibmV8Uqf9Xx32d5LQeYP0ye2+B4U/m2QehhkDvY55yvqPNxEuMErL53ZfzL +Scwf/AHtcv1Gey+/PwU6UfVHeV4I48Q+h9wHjPpqvPmFeK7qz/LeadXPkcDi +6fK9et7Fmd0P4STahdxT4zCRYl8A5nEjtKt+18eZ4ctF1NdgD/ZdIA9RH3IH +dAf8Yz1V+RYm9hPa4XFU/A58Du8Bq+3Ke6tVO5jH++LEPO3hAf3bmzf653lF +3K7neUPcrud5QTyP1V6eK/RS+LsA8+/3qHHBSOE3AH+CfNR+ZxL+Quh/sPNR +HzDqa3iT/gB+zgSwmv+TxPi3bV6iVt8sSjVPMonJWRln4n46wNBXwR/Uc/w+ +oh9tHr5CHsJPpvIleQ8V6AJ8kvt5kc+L34F/A1bp2p3pPYE2fnR+r5Tql70v +fqfql/HM3pN8XNWDZF4k+Apg+AE1OZFoUw/PUQ/2Bc8HV/FwVcwbMPAJvgx+ +jXmBX2DegMFvIc9Vf2G60E+gj6nxfdCRzEtQ7XvpL9DoybYenqMe6AByRrX3 +pD6m0s0TG3+Miq9AgS81H0vebwQYdiXoQs2v8Bf1Vf+AUYxLtSt1Qm9V43W2 +fiCep8XlCfYNl2tqPNRJwJA/qh/Ag+kz10V7qhwxiveqv9yTuB3D/Qr4HfQO +4BWwKh+i2Dii7fajngvxtfHDqPqCQdgBwAufN/fb/JffhefFquvizNbFdh1U +2EPUt4dnHrdQ7SzbPFse10B9e3m1PO6h0oFtHi2Pi6C+qq8YWZ6PUex31Y9j +e4+dmqerZ3qxvCdX1VekH0j100t/Ofdzq/l4oUy/jBTtqvMwCT0AMPwt6vmU +WPF71S41Cf0JMOhT1bOSxXNVvkv/FN5DfsNPBTtEjdPze1dhjyOeJmENH/Hs +/Cf/ro1O1NfwI2HYK2p84inTax6zOMNjUV+jWwlr6/WE4U/mWyO/QVt36K1J +gt7UvEd5/gPyBvkI3O8Auvt/+x1t21XlGuIKElb7led4gR/Qk+o/43H2CGbP +OTN54Sr4EuSnavc4C3oFnwKM+pBvnI+hfbU/b/bem8mbAKFHgK+gHcwD/YIP +oV91ntyu5XmbnjZ2vcq3/Jn8CRAw9Bn1vQvj7xyvnuy9t4Dt2c08TsntZh6n +5H4HwCrdyDw/DkNfUr8TYhv35XmunE8D/6reEyH0Fawb7H6ss1ZKux90AHkH +PEMeAlb1P+S7I6/mlJBnWAfIO8DaeAKFnw/9A+8YryoHpV9Lex9v41dUz9Fz +v6JB8EOVj8h7swBr/ALfM0oV9qDWf7DNORQul+zJIZ6nYO8ci71zKypflfal +avdKWJVXKSKP40tmvWQBY31gN/I4Cb+Xgd/ThXXU6HAlizfKc/x4r7V317ru +G21+p/3sKrMjfFgel+090+q+sj1nDFiNp0h6AP2r9JHO9D95fhX7Qnst/Ypa +fT+WL3Lfhv55XhPkLdYDMPwWkL+AIX9h/8Hfrn4nNl34nbV5SVibfzpbL/nd +CcyTz4PPU+XvsNOx3n5i/4KPIr6t1Qti/CqK2e1xQm/R6snvPUAPUO8PwH6G +HpDA8HtV0A34OOgGMMahjTeM7Uf5Hnwf7UPOgI6g38IOt2engw+r+Sphgv4B +ww+lytUQgU/wJ8Da7+DfknkrqtyS+QRauxKG/on6/ByHyq9s47gqv5N5r+r5 +xyRBh/BngU4BA19qXrf0j2njlPXt9aPGo2Q/9toFjPoaPiWMfpEXB35qjw8D +Rj17fFk955MkStAJ/BH8HJF6/tw2zgQYv+NxLcBqPds4F/xg2rjk/ZTqfbFu +1n1xW/Bvzs/BP7TSW/AL+CkBgw/a45P2+CJgrb48p4t5Ap+gC3t81B7fVPEM +e0yeF+alah/x+H2kgOFng32C/Q9+DP6ljT9YtAtY5U9BAga/wH5V5aZRrAtg +rd9HNuc2oJcC1voxiHECVvmlXvTH/RKoD7kNWJXbejFv/B4w6qv4NtjoXdCj +obdCngOG3NPo54qgX20/XmDwHaHvas9DbPK/+X0UoF/gDe9Vuz3WJs4Fuab6 +M1Jt9Hy8h76r8uEIpt+HCRjj4fdBQB8AP9Tw48LsgCfseTA7TxrM1kn6ldR4 +k4xLq/zaIPizmrfgyvL/XGzGyb+vh/dqvEzC6vd85b1wWG/QC55zWPULutv9 +nUZfz5meJ+8xwXMO43fq/Uu29dR7PmQelJofZRa/53mlah60bR6p2l6yoEfI +FfVcQzIbRzIbBz93YL8d3s+/tyPPEarnaqAvynuQIacBgz5UvQbyTco74EPN +75f39qr3WUu/qIpHE8Mz/46wfA9YPc8XyfAiv8erxq/sjUueg7Y3Dj5OPg41 +X+a62Jc87oXnWukk+K0Gr2Tn0VcyuRLG7AcJo57qd0lg9oPMs0M96OWI26r3 +svD7YGQeE+hPvW9ExpvVe+Lk/RPq+keJ92qcUsIqH5bfRwH/QH3wGzV+7Sn0 +MchNlY5lnq4Ky3sj1XvFZb/q+VJPu+MAXlX/vi1euf6ZxfqHfQh6Ub8zK7/3 +DbpT/efXRTuqHLP9nb12MC88x7wAq/vFXfAvHidQz73KuADasdePGgc1s31s +EvF86J0qP5LPUY+fA0b8QEOL/K4bYP7dYewjNS9Wxh3gf0N97Dd7cQp77XA7 +1V6cBOO0Nw/sL/XezyShZ6j0IvUC7Bv1nLCR6ae27ah5e/J3vB0VX/IcPvRg +1V8g9VI1bma7T7Gf1DzMVLHvuJ8TchLv1fvKUhgd28bNMA41ridhxLs0fmgU +/j5tH85keVK4P8LWLgSslQHsvONju3Er9Tx+kBiv1m4Q289BzN6QcU7AWhlv +c98eYNV+OMD04QMs79b2nhnVjpf+APV8nbwHjZ9LV/WlZKbn2q8HGPgFXfJ7 +HjBeNR4t76kEHavnC9MYv0+zqQfYXj3Aap5agJBr6rkIA9vverH+qJ9ZTeSH +G9i5Kr2wV/49zi7vH8FzrDP6AYw4hUoXwUxPChKwGte4KupDbmmFjLthXSB3 +tXbCmJ89jOVRJwh9CfwdMPgufqfWs/WToh70GcxbjVvKOCbGC71GzRvEuQIe +x0oS7ajr6SrmA/yp+03eVwI+Ar+Cymfkuql4CxJ8CfsB79Eu+JcKy+8qgZ+o ++S2ujI5dSJ23N8OLp3iv8j/5fTr190HiPehaxZO8VxTrqb432OjRmJcql6Wd +zu1zNX7J7xE12NgToHPoK/BfA4/Qq6AXg1+perKt3aj6oW3zULjdp+pZkj+j +f5V/Q5+MF+1oeIlk/NVso9+BnlV/wAGhXwNW98V1YRfhd6AnbVy+gm9o1eU5 +RdU/48P8BvGMXuMFXnkeJehcpZswFs+XdhnoitMTYG6XcTsB+gb6xTjV/RYj +9jVgbV7hNnyH39Ou0oe8n0zlPzECVu/Du87wdp19n9ZXvAeM92reWgxbH2nX +YV9gvKr8CBPrBzwD5t89V/PB+D1q/LvmRrY/5TlO4A8w6kFuoT7oAfUBoz7o +BPtAzW++KvaNqvfj/AB+/1TwG5U/SX8P8nhUf4+890fNh9IL+lf3czzTo+Dv +iBD6I8/30dYpw+ZchXqOy5vdm+rF5H2Q8NPzfAfEQzE+8C+sK56reYvy/h/s +D62Ufj7oNTyeDz6k1Yd8nMnOq+F7GTIOAz4FfgT6BqyNS8bdNDpPF/lhqp0l +nyMOg3WCvaOeu5Ln1MCvkS+PeoDRDuaP/ab6JdIFfaEeYKwX9hPoFf4WDU8J +TK7I89jqOSQPlv8g/cLcTwy6VP140u5V/dpmYXcCVs+Z6uzKOZWvyHvhIO/U +eIM834r3oDc1Lzjc5ruQsD8Rb+Vxc5Vv2JM7EWJ/8HtMIW/U+IKO6TXynmv4 +9xCvBczP5+I9YNX+ln4yVS/2FvQBuaz6aw0CVukuRMxX5Vc6sa6gL/W7ZQl2 ++Jq8X1aNH6XY+AUAq/cfpoj8KJU/GoXfCfY/+lf9YNIuBX/EuvHvhKv+CVs7 +E/wT8hb8FzD0EuAbdK3qAzweKs+7YV9z+1KV38Fin2K9VH1Lwip9RzA8y++m +AobchdxU5QXOpcOePMXeu4r3kLOqvJLnDTBO1Z+lY3qzjsldHrdMFvqNer8U +//6quxivqtc6C/6hxg3jRT8qHceIelhXld/EMzte3msLGHJWe/5I0AHwoeqZ +0i5W5bG8lxL7DnSEdtAu6ENtV363FvNDO9r4XYS+hnVV/WFXWdzIwPAhvx+l +5l/z7zXqBD6wPuA7kE8qHUh9H3gGrO7DBFEf/A16KWD8DvQPegBfBax+j8CF +fedIz/iLnvEd6L/I25R+W/BrHgeGPgq9CPjR1vOB2L/QOwBDvqn5nbGMj0n5 +gv3Cv7uAedvDC+L92r6OF/RVRdEfQgR/At8BHYEuNfxfFzD4gzoOJ8EPVD5p +ZPSVxOxu+R1YVR+XcUj1fIlJ6LVqHqy8p1ONr0ewvOsIUfLnKp36Cf6I9QT/ +UP3gUh/Ac/BR1T4Ms6FLlV9KfV3DZ7yAsV/Vcwpyv3J7WpV7CWKdQSfQ3yHf +sX7qfbPye2NqnFLqk2pehYdYP+BflVdGdh7WaAcPkh643sjXDf2q9O/K9EgX +ocfgufqdmxRGPzJursbvEm38SOhfvQ/xumhXPReH+KXtuQQNlt8P5ec0+LkM +fl4O9GOvH8wP77neifdoXz0X8t/3tP47LM9pwW+v9X6Zxf8wfjOTd/he5C1R +Im8PJfRM2G9aP6ksvzHZbj30CzmIfBA1Hhcn7Ext/C9F3qV6fgtyw8TiXBLG +PoZ9ht/hPUp77YDeINe18Z0V+fLqfSOYb7rQy9V82hQbvQj9avQRLWDtdbTg +S6p/Jp7FI+LFvgOMfQFYtX8kv+Z+BtTXSl8Bq/nx8ex8eDw7LxLP+GE8o0uz +yFsFDD1AG/cpG7nCxwkY+OFxce35SnYe/wCLU19l34V2t/uc38un8kFZT+XX +MWLdoC/jdzxvQb3HD/JY3vup4S+BWjd9fy7CPY5+fPdLh4c7sF9kPY3O/vvc +IWCU9trB+iDfSpPLtucg/2vcgHEeQG1X7jvwBw1vkk9p/cp7NsAf/v3coNFm +f/9Xv2rej7xHAXILdpN6z1mi3XECVu1us9BzVT4ox6H1K88RYP2wbur+d2Ww +N9sX3mw/BrD6QYxfhNnYKXhu7zsBWv0QoZehXa2/DKH3Yh8jnxrzt8cHVD5v +ew4MsJanL2FVHiH/0PYcMWBVbqWycUj/iYYHb7HuqKfN97/y5uW5Dfhl+bld +9Z7ls8y/i7x9N0Hv6v3GUv6ArrXfBQlYazdYyH/sU9VekXay6k/UCX0Q49Pg +3QLW5nVU6A0andwQJZ5Dj9Dgp6JUn9u7J9/E8Gli9JHM6AF2kjy/weup51Tw +XQ4944/JzM8mv2cHGKVGF8l2n2P8av60tDMwX7wHP8M+4d8dxbkH9fxDut3n ++B3WWz3fk8Lsn8cCVu+3MzC/hEHsc8BaKfN5YA9Bv8H5CsAa/mMEn9Dw4szo +MUbwJ9UPIb8XCRj+BtTHfgYMO1Xlh86MX3ow/ujH9KlApi+FsPfyu/bqPTA6 +oddC79X6cxF6BvR21W6S951BXqvxBAOTK7bfIVDz4qSejXsBtHHEi+fYB9rv +ZdxYledS/gL/Kh0nid+hHvjXv8uteKbHxdu8V/MGE5geI+WrRueIe4YKuYpS +9atKOauWuMcReTPIK5bfr9DWPZzxL5lPjN+r+qiLGKfKD5wYXUi9VY2/xdFo +w6pahSvH07m5Z2ad7JIkfqf6iaXegd9zO0v1o8j1B6z6iUKFngI8QU9R/aDh +wo7S6ocL/qvma0s9SZ2nUeAbv0d72vjld5CuW/UU9XsHYeL3qI99Af0W+xX6 +DWDVvwH6SyXT0H8GlK4s8aGut06sx/nM9dCJ+hFW+lL5VRxrP1bA0DdVfmYU +sHpPRbzwh6m/5/ImWYzv2b0We9Mj+Pj1AtbwkCBgXmJ91X0qvx+i5hUnMTkn +YdAZ+I7qlzCy38Ww/mV91d8Muzmc4S9K0A/2r/Z+pc3+0vqX4wU/4/sCMMYD +usB7lR/zfM0kMR6Mt4pV7oJ+1flLfyf8cXh/3aqfqfUj2L0MRlbfwOjRyNbF +IOgX64jxc/oAHwas3vMo8yXU/l4IvKq/i2T2c4Tgp4BVvhwn6B30/fcPT243 +nSzjmuhfPccs56XmVUv+iPUHrOZ5xDP9QeohKn832fhn0C/oXtVXJazmhVwW +7an0LuWH6kcw2Kwb5gf6xPwA4z30AfXccyzTs1yFHo7xYT7qOWk53yz5cnh9 +do+jv6y/B7wxE/YW8IvM3wUIGP4ywJ+t6wm4kpVeZ0yp3t/fAl+18kfAGn+U +/UN/vH1yWOb7yVb9rE2ZEvvb3o6jhbvOfqzW4oqAcw9f4HfSy0vA3TMO/dQs +8ZGAH7cdVWdsziD6tPLRvG034+jCy5P1vu4IE3CBcfWeTq6aIOCGlzxfX7uR +KGDf4DxrIrMkifGKczjTtf0HuGu31P+xH03i9yvulvK9Udksfi/0TOvvAX+0 +1o9reHxMtWtR4vdjf19hnDQtRsBzBqW+6f41hrUfL+Y74IcG7/WbgkT74610 +1KDJ4NPf/VP1382b810fAb6FPmwdP/wLaH9RO2PLrtEm0R70MrwvrB/zW/Rk +ib9B7/sV/9ZNL/ABeY35DZ+z7sjU7Smi/pEN80Zun8rf68nBOl6HzPHqBLx6 +7ph2D3dI2LFt3v3f5SX6gz2B9l/ue95gR6RRvId9gffuyQUpptILAbctmuFZ +KSZczqfVob5n8h8V8F3vPbfe97kl4FOzpp/a0tNPwK9z7sqoMOOZmE8dvwfn +b0aEkPHV365xFeOpz5NzFTzC00hvhcsVyNerQmwGqfiPolXWdS3TfkT+hKgZ +Au5rHQ/gkHxvgo+uPiHgcyXKuyWMcxOwh3W8gL+c6/B59sbbAj5a7qpz9nBv +ATtb5wPY98/OD3pOfCDg1MvhKbs+Bwj4b+t8Af+wpPG6aV0CBXzw2NJSO7cF +Cbjc42EHI7qHCLiuFT+mP36t810+DMhcT7m+rxxLXTre3STeHwiqp1/+NZHM +VjiDvfcp7ZX70TaTeK89N4j3RQ6cD06NlvQJfpP945IjWQX9pAlY85NkiPby +XzT2HXYtXrT3YyZsFu+bGdq8bzxNwm8KNV8yLTxazPdk7gvmLNdTxe+NmaWE +1zVd+dPOinECppPD/bJ+iRHt6Y43+r3LrlgBL1h/8G7TyYmi/pl7b8b+XE3i +52AmvpLF+0c/rNsw5KaEj2S+TxCw1p6En2XWl3CiglcL38mcb7zo77n/qUHV +OocLuO+ylIBKPaMFrOE/ReyPvj8NeZ51coR4/2d6RnL3rZECvjfEufnXbJFi +f2n4Mwg4qczBs5V3GNl6GMTvf6/7vMyyrEYB/5LJT2T9epl09kLwx4WZ808W +9PfUii/AWH/IJ9BH4Odz57+/n7h0QFhqdIbgr9CXMN731hLvNfkRJGBxTlWR +r3rB39cled/6tDNNyBPoc8Bn/0z+m8LkbyplqVA8sz70YIzncCb/lfIZ+gtg +4R9Vfq8T+NLoLVm8n2iVN+hfnA+xwrBD0P+Ddhp/w3tNL/EQ749b+Rneu1n9 +PZjvPiv/UuVZoPi9ycqv8F7Tt0LE/K5Z7VPszwkOs2aMq31FwItqxa7odMtL +wP63swW8iH0k4L9OF857Lavkby5W/QL0dSoTPwlC/82D+JCV/6yz6luAN1n1 +LcDhVn0L8HYrvQC+ah0/5gM9EPR6iPFLbf9JfqnxK7lfNP6pF/JenF+e/j/t +Db2Yzw+Z89GJ8WB9AWM91fH6CVjk21hhrI/6PksWzA/6MmAR51P0Dcl/h2fu +/yTGv8xiPtA/0Z64j1cZj+Rfe34uWPTa9BhabV1vcyb/SWP7J4XpgylMPqQy +fTiW4SdWjLemdR1V/TNR1Aes8ncJ98+Up0YxX/FdIqU/KQ80eZoi9jPsA/QP +exLzeZlZX/ILjR++EO0DRv05D5e8nBQbLuinTtv7f2byD0W/jBEw1hvjO7+8 +SKMYtygm76U+Gdq82a9dqkUxfEUyfEWK3+dO81u5rXqUGF/JYQHHbk6MYPzb +yPR3rk9KebIyUz+V+Ib9Axj4U+0HCcN+QntrM/WBF4xeJL+Ffa32J+XViEz6 +l/wb9rE6nnixHokXjpb7Xh9+u/svk19EttpGOTZeq19mb5iwL+8/f5Cle3qY +2J/N/hg5pmChBPH++eFWnmlu8nvf89e/aHWhJX7vTXvK5OyX/EHm+7QNKPpD +zAt5r+ljl8tfY/W23+toU3Dbp/ezn1O2xSfSzj2T945e3N20s8Nz+T2OKWsf +zS56R86jzMx0tx/Xye9Hbuh1sqKpTYrQt9HPmZM5lx1fKb+LpPc7+Kre4Gjx +u9vzK2+4Ujta/K7rjCFDz76PImfzqkLLZ9vmH0Xk69vEuU4CxTbxLLSzt/w+ +Ofbh4G0fvBb1SKAN1QcW2n7qf3zvo1PZpekf5ffLMZ4n77qf6vLWIMbTeeb2 +N1keGsR4LuQ+VvjTQYPof8g/bzY+zCO/m9zFwVz6pKXfJoboP4sXjGLfJU6g +vmuGvmjcJokKHeje4emSMJav9JJet8i6odztFEp3vFluTYr8vualVtPMfbbL +et3nrd7Z5VAY6bun/bCp7xXqVsL75rvCCdTPu6DfnSOXaXCv36av+6wj1wdL +8l4t5kXFxl6YXNiko1c3v3acafSnCX37OAwN1lH7xQOebh/+nAYFlK6815xB +7TyWh/cvFSTaRT87lk7ek7eyF10vNcV9ZNcw2pTU1un37f70U+5OTu3SQsnn +VNC2WUfSaGyOwl8OnQ+jBivXf+39WwptzKSDKMrxY3S23nMN5LVqx+08D+PE +ODFujBPjxjgxbowT4+61N6HB4oBQinZ//Ky2l458No1xG58ngQZcOd9pcz8D ++aUt7R1wLpEa+Te+fWqUQZR4jnFhnBg35vH6S4Mc7yx247AI84ygXWkCL8AT +nqPehjeH23UccEuUSUFOqZ3emOhijx6uxUOf0euNVe8Nem2iEuarK3qXDiRT +xh/XbjdIplKZ+yaGMuJrdvX3uk8OY86XntDZTPm/Pr6ZGvKMVlDDei3fyN+h +nekbcu8pnjWEThxt0fzPGybRDtot0H7mnyeXpdLisjVDlzex8C+nu5+OnE0l +16gyHk8s7/Ec9fAc9YIiFwwYGSv92y5R/tkdRsl7NqqUjW7VoIw8z4Z6+B3q +4Xeo57esybC6ZeS5qRY7R1XzGJBM87Y6dXhUOFnsh0ZLpnbet9ksypAZS3Z6 +l4uj4RHGrw67ksjTJaOF771YmvHR81KuszJfrlOT3Fl9Q5JEPfwO9fC7vKOG +bFzgaKLXh0/OXnvRTB+dHufatNpE7au+6lPurJniHX6c9TpQfi+05p3hwWXr +yrgb+Fm3/udaZC0h/fCPnkWaFv6YJNpFP2gX/cxsnffF8el3KKBehSa71h4U +JZ53rlmsrku8H92i9+ktx3iIEs/rPny6MrVOIA2NaX1l5wo/UeI59ELTz3n0 +5vNuQk6UyHv+4/PT8jnqbYvfP+NCYz8hL65/3ftr2TvPbO7nDsmd42J7d3k/ +Qk/LoD+lyueoBzwAL/vbGuLvnfGhLA9OBScOlOcqgVfHk3mnrPaOIL3/r9/O +/BhNujaBpy7u1dG+8y7Dy8y22L3OIcPzNk+j9QUvF5lfJJUK5s6IjGuVTksT +Tnb1+DuFnPv8XFM3KJ1SQ5pO6PAyhdq/GVHBzVN+D+S8Q81bBZabaGi+9e37 +Rr2gbuNurGnxLlHQaVjOD5PL3n8o+HoL08nZ5WvIPNUznveeT1gn78FGu1sc +Lvju9UwU+Nh21fhgc45UGjzSGFgpSt4z9C2qAt3VR1O/fr+0nDtyD4W3Op5n +elg0NSmZ6Lqs51mq9/VepTzXjHS1b1TCt9rONC/Mqcapq0ZKnLXeMH+yM+nb +nPP7I8hMT4aku3+edJrc+89y/eAdTfkPjkivf/gG/fH1fZN012j6XGvs9UlL +7tG2qlWv9l1qpA+54wuMOutO9Qd2Ox4500je4RH17my+Qz2ufugyfqGZug1u +WfpD23uU622pvqVmmWlGzxhHj8WelPd8s4Bkp700+FiulYOHPqQmq1xLjj0S +Td3uBBVYcd6X3KdMTX7V6SZ1DaJWr/wDKX/zdxE5fdMpOM5/4oIxIbSgyMUu +uoWp9LbGsK3eb8LFvIEHzBt4wDwwL8wD80K/GAfwBLwBT8Ab5g08YN7Aw7HR +YS/q1btPp/e+ubaxh5EO1JkQkR71kNwmFa7q0cRIrk0bLm9630wVCienFVqc +SMvHDZubfM9MA/v+PPbxhUSxDlgX4BF4BR6B13dWPCy04gV4At4K+da5e/Pl +X7R7QIhXv05naM+FH9ckFAymmkH9i+ceEkqX+s9z+DArnt4lHliw0bIvpn79 +edOzMnq6vq1J6Kh2BkqaU6fiRMu+aPCD48TPzdLo1Yq+528eM1Or00nzX424 +TlUSnjeIOmQm38bhFb42vUFu2dpumrbPRBVmDX3Ws0AYDX+7tabPMBNtPJnj +7Y+TIqls8ugc6SMscmdjQ4NT3Ui67KR3rVDTRKOqPhjbrl+saBf9oF30c67j +5Q5tN9rmiy5f0aDcHy/kPYSoh+eoBz5Sb1JSfOrfSaLE86nHDAtPbpfxrQp+ +PT1/WppEPYpOvBDQLJ48f+/Y7sCEJAq8n8NxfVw8Ne/6tsqSiUlU9NuYLI3C +42nw9IG1Zp2Oo307ErLt2pBEMTOv7fs1Rkc3a1aek7dHEh0Iif/97BCdtUyi +CmtfrstYo6MdpuS6SwfIcyVJYff++XjLLPxAO2o0LfGgpizx3O/S1By7Lf1c +OTOt7hxLv+gH/aIf9It+0K9HTceVS4LNlPP2nICf3hvFPDFvzBPzxjwx7z+X +73jZIYuJQoZ2/738DXlf14hBza8+nPuU7pe8vTo+p/we7arkS8uL9pHf0wjY +1m95nlkynqbRs5lmuQ6JLeFloPh1PfPOfmkmXWZpoG6G9edMOkt7dcs8c5ht +pKwDqgeu1Ztp87OK3ofGGsU8MC+MC+P852bVr782CmX5RSHiOeQE5MaqGT5H +Cu3UCX6OEs8L+Xw8/NepDHr498xW9R+kUBdTctY67TJoksOSanOCU2jh6dJn +LppvifzXlr4lfjj3OkqUQSNytb7xyPZ+DuAFeABegAfgBXgAXoAH4CUx6e5P +H9eeFKXT+3qOr6qG0tfapdo1rCxLPB86/8jy/Jfk93K35Ougqz/V9nsgr1o+ +9/qjboSQa+/qmHt/632WtpXbsfCZj7wH4es3j/f7H8vvgxT5fVu3/CHyHEfD +G+Xjhu2W3/dwbjh0fYGz8txI4FqX/T8Ml9/32NhjVY89Y2Q+Ln73upb5z8dr +5XdPn/1NhY+8kfeWtwp77e81NVCMC+PEODZ3bRLcN03ah0Mm3na74aKj4DHf +FXjb71VAbne75Ovz81P5vYqWSVVPdDkaSI+G5pwcmn6HCu3U95+4KZTSuzs6 +VPwYSNVXjc8xclUobU2e6Zp/0HNy/7o/rvxRHfW5enz/2wuxNDlns6AcR3R0 +rWREWqkf4yih9JFszUbJ73NCbkCOQG5Ajlxf3W3H4lj53blWV350WDnzmTzf +69S5lFfjVFH2K7rmS/vRqfS0Yf7quRxkieelvFK+DL5hkbfzBkcUrJpK9ZO3 +rNDfk/d4RIUY0jdZ7ITK+U98Ofg1WPB9yIEhVr0IehLkAOQC5ADkAvC75njO +3R4OJro06fXa0hRNFR4eyleho4neX/ytc8v30fRy1cZHd1pIuQE5sq9dyaXf +Osp8qH4jGvgeipT5x8hLGXI659jpl4yi3gufUU+/dJT3tc6PmPzXmXGyxPMa +VUt9WzPMTAuu1qzRoIKP4HPge8Az+B72NfZ5ror/1Jp7Zg19bvH46P1Kdy18 +e81euhtKiW1Llih85gn556rYu9idUKr2y8Z6jj5PqEaDhacmbX9BPRfmC7ha +OZrqXGlX+8D8cHq7p++HCyWjyXN1Ducvp3X06EDdzZtnR4sSz8GXwKfAl8Cn +Vt/Llupq0XOLGXosfdFK6rnQe8G3wMdKRl9xnL9RfhfhcYHbS/8q4UeLV41/ +lDefD72N6+n/+7f79IdH9qYtrlvgOXlKtMguvwcBOgfdg85B94m7gm9MfCLv +p6j9W8NGP3QxU8SxEW8mXLxP+56Zj0ZHnaEfW1QPeb5lthgHxoV+0O/BnPdK +mSbL7zOU+25l/xFK8d/dKAeCaOv8YX90ORdBUaOH5NmZL5q63swXc/6A/D5D +0a61J01payCfqe2nd6urp6MrnFa5ndKT76MqZz43M1Cvswu2r9n4kCa7688u +ybqR9C8GrbodHUjlV58/Uuz2NfJb0n/Tx/byO/aNWtXz0f8STcPMpZ61LRZG +2QckZzi3iKZepgLNG48IpQqDvJ4WrC39VqcLt591qXg0PRkWsuf92XAa8cf2 +Pb6PTPRsaLUxB9yCaOfJYiHb/EyUM9uBVeEfg2jSkAcHCne38KXCRUoP2Z5A +s33+ufW2m4Fym1v3Kr1D3pfl+5PXssJbTOJcQdiu2rtbnkyjfP2+VL+XV363 +9cnGX3/d+zaU1jVIWVLi5EN63XDS1xqXdXQw9IrbvZaR5NC7XMugSzr6gRa+ +azJQ3h/4c+fIK9ksfOtx8eHhlx1kWe2d79pZKafo8/H9LV16HaB303YaLiae +ouEecU2arz4g+Bb4mENU8I0PrrLE/gJfO+Zdamu94c/oSYmDsecHPxUlntep ++HeRJ51CqcyMBo3uxwbTrPAPDp8plGp3DjVNKB0ixus27P6Fcha7DXmLl50N +BT9XThZ0OG2WMSYgezItX3th44Yt6TSkdek/231OolszG7qn7U6nP8N+nzT0 +UxI1OJ52JLpFBhXLaHL2WlISTci/LH17oQwqv2jIyW9pSaJd9IN20Q/aRT9o +F/2gXfSDdtEP8g4jch3bdbyK5XcH3HyG9JL59clHNzumzUwW5dtvY9YEr02j +Mt3eni1TMpmqTjjv3bd3Gl3p5VViXPlkyh95albb/MmUXnXwpnuv02jX+1lZ +D+VNtpbpVCngkqmjQX6/AfXwO9TD79AP+kU/6Bd8EHwRfBB8ceftvw4//SuR +ps96s2DNG6Mo8Rz8HHYy+BL4lOBLVj4FuQw5DbkMOY19gflhncCnSk46MXJH +tCwzDuzbPbuWWfChkKOb592paibnokOrr/PwJ+elk0u0a2KmTuM3l5h59QEV +cf/46Z6DmV5daD7YadRDynnlYWDP6Ei6dLtQYoVvUdRrxaZw58hI2lX4SsXG +FrhAlTk95nWS3xsHHwJfquc34oNTnTA6bsF+5CkfClq0+NPtUmGUvr5s23xD +7tPavBuj1/aNpjbzx+34p3Yw9e/y+7Go7tF07uax36tcs8Ajv1acWS2aVv82 +zb1jlxdU/PDsNndv6ujswtW/t/j8giq3rHrpkAWefC965ers4fRP2NlRFfsb +aVaTJd75QnzofOTeYicbGinC7c3SmJH+dO75vNFeBeR3IZ1q7rhWvIyR9jab +Uf7Vzic04cvG+U6ljJRUr+TlyNgndGJ5wQs7vhlo+7WeK7ZOfU4tllWdUSqn +kepOrrbP2RhIGwL9x1+PNQh+6nC42jxzuoFcns5oOiZbMA3r7exy3migq21m +FluZEkxHN31YXtrVIPTXmg2MH/Y0MdGPgSfPHeoaY7WTkykk026OpgGZftgU +oky/bCT1vVmkzSiLvoUS64p11ujChbpXnluy/Njb5D0s/dOgnCahx+9755k3 +aKC8f7DFw4TPxl8NNGDYuF1t3uho3dic1Rofl/dvumx2uLv9uDyfMb2Uv6dx +uIE+eaadfzNIR33/quM2eKiB9pV0/JyyTEdHhredXCu/hV9lxlFeSH22Sd1L +67feFXos9FroMWvmZr1ytlG0sDNhd95cUu3+Na8wWn7iZXlDseOixPNyJSeO +MAbEUPdzN2v7/mWgyIkvy6xwTqPJ1RvV+XllBsEOwDgq1lvUc5RFbrdu/jFP +LoscLxjQrevNEOlXhV5WY3LWcd/1NOhl0NP6zI8akRiXRHd/dXritTuDJl9O +KfkxPomm5FrpdXuTvAfr4Q/VPrYcHEOjM/3tySIejPz9fhcKFq1RVU+BhU5v +Pi7OReupSKexzapa9mHonNHxdS378qV1H2Jf3l0cMnH/t0e0pne1Mn+VNlOh +fyIbfrjlT9P3Xri1z7KvS7+6fHRGK4Pw270P6jW64CB/m+8c6zOGtEjRPaNF +Vr0RemT5uNCgVq3NQt4mlh6we3cBEzlcXBBXo2E8/VXrjfvfeUzUb9P8ij5j +4ulTsRPT2n1MpOxJQ7fdzamjyv0rbXbKaiKn+hEfp9yMJ8SNgH/YP/DDIu4Z +WN3FuPnnx8LPDH+k8Mta/bSIW0F/QtwKegTiVur9qTKOCP8l/PA87oS4FJ7H +tfU8UjMtjF7UCDaYPRxFied5+1Qet36FxX4umjbhl4MGgTfgEX6RbY5taXSj +ZFHiOeJkiJsVmp/qkK9sEp082NjHYZzeJo43OrvXiD9KnRJ2o9bfKTp+bN2D +ldkPit+hHcwDcTb0e+LejtDXfhZ+mWnHp4r4OtYJcVnELxDnO5+5r1NEHrf7 +3Cs/xXonUuy9Do2qD9CT28GfEn0eW/Ztm9N/FU9OoKgp29esj0mnbVGTW727 +mUZnmzTfMr3GQ5vzBBXPBOeginfobZGUrX/H+Qm/WU7Xh99GWuD51HXKoTke +FO7QYPNgN+n3R4nf1Vi+KNvN6oFiHW4lzMrZt3Ig1Wzo45W/0gN6t7DGWReL +Hj7kYPDbFmX9RT38DnyuVs3+bxYcl/f1/PiD5+kdDQ2Up1vrT9HXT4tzPJo5 +cp/GnLpcpcK++/S+7YJp5r6hwh7t++vV82F7bM+h3Go93j9/8VRyubr+RI++ +ZqFnIt+7Qq6Vg4xT7lOO9GHe35aY2PoE0jjXgbnNf0u/yKM8Z1f4XZR+kYAq +RUZ/95O8tPpF4CdBHArr6r10/65CTU/SP2OKxVww3KZ2+880v1vxLNXo1LeO +247bFOWQ+3nrHn50wzT7/D83vajzBeOWDUv8aLrnm+r64Z5iXbBO0zduc3ns ++4x6tP+6dtUvAQLvWAfgHesAugCd6NyGtuli+V3uL2mjt1naaRjzofXlSY9o +RJc+/WfHPBN0Z4591vV8zmi6UfC7wYv7oaKoo9elH5PKRdvgK3VZGvW2yLU6 +fs8Hn+75VJ4bc2uStftV+d0eyMU+caGXri0IF+sOOqhb0XFBx18MNCr7+xLx +xWSJ5zMP3Fl3aXmisLNR4jnoBHRzKiTP+EqT5T2L0OvmUPf3zQ3yHjfU231R +H9crPInC6gRv3hybQUPS95c3WuBhmWUGjT37Ka6QPoHePuk4s2kdy+/Gt7m8 +1CJXkjzyJpy0yJlZZ5a3nd4/mW63OLk+24IUuvJtcE6zRR/vkeXUx+KuKfSm +3+H0iZ2SaUy9AcM6f04R7aBdtIN2oX92e9Mkf4PXKRT5oeGHAu3ld7prjJh2 +2Uzyex3F26Q6lV2WSAfqZ1TuO0yWeI59gH2BfYB9MVG/ZE7vWv60/UydYrHZ +AmmPLvvn5dFJ4j4onEs4vHlW/5xe8n7DUXWnbRrp/II23and6fM6A7XxTbrY +7kSM4K/wq825Ff3XFSeDGG+5wmE1PzaW98HFztuyaG7x57RWf3tqeA4X+lpx +X68PhZ+TQ3P/G0tfu9Bnd9Nan4lhgi/hd4aRbXwL1H5IBfpNTTuaphP4Sc3k +yzrq8r1wlHyx/4yN5bs1ey7aub6id2nz1UA6/fHCl8HhOkHXOaad/RwTqrPo ++1R7c2IgBfqU21TfT96D9iTHl6N5vXV0fl2t3EuO/o/vtzjvyrfDogfeqzzz +yDq3REHfhk7vW169lEjPqusXutc2CD0KehX4XvTRJb9UvnVa2M2wo1sdKdWm +u8VuTtQ1GH/DYkeXtdq5ta12b7VHt9pvtNi504bFbSzbNpTuNLrd70fXeArO +2EQlLXzyxIOEcU7ZdPSw4JyNUTt1Ik8AeQMVNjQse7CNmd5nX5PQ44of9Ww+ +oEqvBPk9c5R3+3XJXcfy/HHVcr+Nywike/6Lc000Sj/hg/kd6NA9eZ/Oyp4D +fmt22ETl3OoFJXQNpawBDWq6nTBRkXPLLy3IHUr9TIYKfc5IPtz91qfl6Uvk +d4Z8Ktee0/Sg/P7H+MWTt/wy0kyzTgUMPLNT3iuC5+o5HlnPJc2//YtQE6V8 +iy4e/M9zKtdqtWlYrInylCqzMPxPix1ofH2wkZOJyvz8vOFMJ+k3gf4DuwF2 +BOgYemh0/NeteRs9EH60oTlPNN/cI1Dsu3W/HNq+5bQ8Fzu5ztrLzXOm0peL +DneOXUmjRv9MypUnRyode1ZptuFWGumsfquyVj/W3ZWmhh9/x/nRIPqQeuWt +3+BQ+vPh+D+cCwbT2vLbm84ZEEqHamZNC24VTHnO9px/b588N+no8zUinwW+ +0Cprtb/HxdNvhwpeS29rEPrx41G9d0xoZ6DVz2p2f1FGTzs/VSzY0mJ/uu7O +1nxgXAI19/w9y4Nud2n258Ift45ZRBMqNvUqczeRqmUv9Dz3Rj3tXV2g9L3r +iaQr1vAPxyg97T75svHoeQ8FXS8sVnvTx/56GvBk759XvGVelfq94QRq8NdP +S3I8TaRXRTo1ajP0OTX4Z4VnwO3NdK/GqQ+tHZ/Tu42j98cV3kV/3juz7nJw +NH0cX/Hzq/kXaGfeCmezWNatzJUm/uFT3Si37/dEHIsdU/B7opQ7zV7+oPDW +K9F0fOrE2I1tPGn67ZfTKhTaSEsWRN7Zuukhvf20ZW6tTdF0rE7tk88c/Kmg +b0rZixa44roXLYeV9Kesk6/5l3mno6Bce6922O5DP3UafsfplY4uZdQeU23J +fTFOjBvjxLh/7HugW5e71yh2Q8iFrjGBNN7DYeOoqdGC3/RZUG/F+VHRVHb0 +utR6A57TjgXulV+OjSZ37x5dm78PpJbPF1ecFa+jBjmOHF5c8Am12+RfPXuM +jnwOZ/1tYZ+nNHtA2KE7ATp67F1v0esOwXQ5V3zfoo90NCa/57FaO+U9m3vS +2x5dHBdNG/RVX498v576nq86roRJ4hF4xbi6f9z8068zomlKyTYtb695QpXN +Aza6L4imhZ7Nx+5JfUKHwgJrTJonx415YNyYB/jm5oGF7m3oFE17Jv7Q60qd +YIr7XGd3B8f/4Zew+ingN4Uftfn6yxuajAyljLcb251oGS38wvATg/9AT4Re +CD1x8aNlvwbsk/d3unV1eLjuWCJVndq6cL3HBipUu+z9rEcS6WSfcQOrmQ00 +p1+Po6N2JFJdz2oDn0010tsjzwx7LXCukQ6l/5xspLHu/+zunCS/I7v+Y+fO +LhY6vrMnJpupawK9Gt1sfglzIp0JLFx/rY+O4s6UrH/3H4u+8mS0V0JrHa28 +FrUxJDmRjuy4vne2hS8416AuAy12it+M55OOWtp5X7flpCx5zFRm3pOt3Q6Y +qX+dclWWWPj17+3uOL208LNFnVYXW1gqlfx7Hv2lRN40Stj9pML7KqmUK35E +p3Y3Uinb2bv9vucRwv4BHwVfBT3A7oGdA7tHv2Hz+q25ooVeCD8V/FY1sj8e +3MQCx08/XfBEZKTwqws/u1Xfqjj5xKbkJyl0/8y4dy++pVOG7+x7u6JSRF4m +7Mle+n3eHS3wxuDgEjPnyBLPnzkVylnm5Ula8O3njnMbHRclnkMOCbl0cqzT +m79Ngo4hdyCHIHcgh3Aes9euYUfP5g2hm9UftOlisTtzzH7xk5vFDm1cq8yE +W9+/97l26YFx26MJea6w67qW++lMwfsWflHSfKZPwevkG7l4z6cj0aSveqeN +Ya4vHVsf0rOl7hR97Lx07KysD8n/xzuBP965TKUXHiu+8NgDsa+wz7CvsM+g +F0FPgl4EPWlGufupaa/vkDFigG+vY4EUETFucp0+XjS86qtCnxcHijxZ2Pfm +zDy/dGvebShlqmnn023uJfLP9LeE0s5T8yq3C5ffHSllHXeAdR7OE0Ockm4+ +oM3nHHuc0l8UchZyF3IWcjfQGtdAnKOb/wdf949B1DiP3+wVflIOQy6nuMQe +dir6gt4MmNbHf4OJJrXV1Rk/4wF99u+/tOQcNzry+KL723YPSH+p0ZWhBa7T +5B5/Tj07OpAmehSfNq+AD4UZQrYNGRBI85aZs+00+VBt98lZTt8JFXGGjg3v +OVcJDaX145Z26nYugCrHO29e6qKjKRd2HZi+OopmtGuT5cFEeb/lrJnf/wx0 +Kay8a1j5eAqpNiWo2hQDhWaW8dRvwNmEKn8YaP7hlrmnvo2nyyPSqxQZb6Dd +vzSpsvR2vNgX2Cf3nItX3+OTQl6ZZYbYJ9g3G97Pr7tUn0Ltx/U3pNxNF+eK +u5kXdV1wREfuAQcdR8XGUCe9z6ISFvta09e8aEhooeL3RvrR+tKOU2Za7MwL +f+i3e3T3o5K5Ip+5X/Ui04eqDp0tduj1oLdp9VobKMvY0k29Runp5iBDoSfX +HpJhTIFtva5MYnF2V8rtOvKXWYWihX1X4kORLuX/R1wedIY8SNxHv7NK2IXo +0sk0dau577ajafSpx9MyPYolU/m95dZ+7ZhGL3J+bDW5QjIVOV7ezfdH+V1o +mnPh0Iufk+l83z9+dHuYRvuLbH7VKUcy/fPT7aOxHdNpxPjTf9XZnCj8jLgH +osHfXsb9i4zkGLUmZuinFNEe9Nlgy5Jss9D/o5MnCt8sGkjHGxcaUvlYKO1b +6p3jbs4gmt3YIX72rFD6aPXLwk/r5lz4QMQyHU0omOHYZaj08za3+n3XT70+ +3aGiWfgF11r9ih5WP2N857eD1pY1U4m2ld62vveI8h0y3CpazUwDL18/9eSy +P63o3/qfJw1xL9oD+mlu7ddv65qpQ/iFh1E3HlJsif5Xzlv0sxyjE0PfvEgQ +eU264r7tcsanUIEBXb/F/hxGcxbe3DGuqh9d7VE8xruzWdjHNW5dePfj6jvk +1aBb9gXO++lM/tmRbS1y6LyheI+lFj2pTj3HX3Oe0FHK8pRm9bfH0McHSeXi +Bxkoe7NiuvKWerfmj/+y534YXVp8xW/u/mM0b9axpoUiwoS+B70CeobXm4Sk +sg3CqPngYxvOtvYRfBN5kw0z86gzrHn/wWJfNM30jwVTr8qlXibe1tGCL8c8 +VpssesG3J8VrPkukxpllAt0NXpc9NER+n2DRoSmbx1ScSHm6dXz+OdBIba1+ +/t+sfn/INfjdzi4JcVteLkHIRd9CY05NKptA49qd6+uW4yT9tDHMPSlHgrAb +05d1D+qQPYFeR42Oun3wDnU+5jtry6tQETf49dcaDX1SQ6nwytwho7b5U6u+ +O+vfigylNk9cB36oGiDa6dz8/o7ASTIO22Vgwee++cKo0L5+lXsvlff2Hd/s +8jXrEgtsOJPtc055Tg/jRnsYJ9qDXQw5CDsXfP5Z+8Qmob7ST+MyMi1rjKv0 +z2W/+WnnKLdEIadxLgNxBcQZFrSrtdP02STukdn05lvKYgu8bE9UroVJT6lK +jolh825AHodQq0srvb7nnR89ved0iawhIq8EeSYP1npu7Fo2nNp87FVx6GIT +XQ49mbaicgRVK1o3D001UdNv2Z07fE4h/8q9Go3vlEwdFj0/eNPmO3MpdGTU +hAKDeyWLuALiDIgrIM4Avw/8QPD7wA/08FVAv8TB8J/7UMCwfqY3A830YI9T +/c9nfGhlvmZR4x3NNPRsWJZmM3zFPjiwJ6zIrQi5z7DvvCvOLWuq8YCehhZc +PXLuDWE3wo7Ec9TrumfAglYdAunavNbFvUvIvB/YmXiOerAzYXdiX2OfY19j +n48K+1LAvFZ+L9jzkmNZ/ZpEGrmvbe5x+RJpyTqH5EIrEylljGlgejNZD79D +PfwO9fA75DWLPOdGju+nTbhO15boy7h/uiXuD3X0dvAf09WDDpy+kEOXLZCW +6Jb1619LxlkQd0GcBfwV8gZ5IL1Dd6f1PZ1Gdy/3Glrn9wxqMmPy1uaX5Pc4 +cvrP+fSlKeJ1empWZVqH100M5Bu17XZ+fz2NSSx0NqiRgZ57+Re7mKIX9fA7 +1MPvUA+/K1tpSd2GW+4KPoc8aORF32mXbdubTg/pke+yoWMOHaKy0eWu+IYE +CjpAXvRNa5504yJx7+/cDaSNdwfuHxvmThdddesm9DEKOghxmbEzsYeRBlzy +c9xf/z517vT9z0i3jw3ys/yjDYODUt42Mgr+hDxl5C1vvF8y8CwZyavF5aCA +Lg+EHwJ+CchNyNECYz7W7hETLfhQpr+tdgK1Ovn9/MsUquFfYv+qCgn0NWpt +uVpLj9DNuGX6sKtGUb/bopFtq+8z0qLKu6uvGnqFsl3aPayxR7TkY01DY3IU +TKAT28yNKxW6Sld/dVzzOXcCvax/adbcP9wpNmP5qAXzjaL+LmP9wV+djNQn +eHmT/OPdyGuu4d7cP4yk3/4tcvs3T6rl+OxEyd3Rgi9if5w++cf7J54PhN8A +fgT4DeBHQJwdcffI4dMqhQ+9Tw/Hnkx1Li39kruKjCsYeUfaAbAL4HeAHwLj +eLh4i0PHfdJOgN0APwT8EvBDwC+BuCzitPuzvxp2YJmBjifsrV7oeqxYB6wL +1gHrArwCz8Ar8Aw/B/we8HPA7wE/BPwS8EPALwE/BPwS8EPAL4E8A+QdLEut +nLIoezidf951zL6bOkEnoBvQCegG+AYdYN1BB1h30AHwnZJ3w8DEtjKPAXkN +U39wPdN/pD89z8itW9lQ5jEkv6/22/b8Rqrs09rHeecTatxzbbkcZWQeA/Ia +tlnzGJDX8KzjYZ/CRst+nTQqV3AOo5C3u7PF7swWa6ALDd11s7IG05W+3R9P +TzfQFWsew3BrXsPIcd//wujp4+9/BvrkmHfRsPKhtLXX02dB4TLPIejgg67B +Vyx0UK/gHfc2L2jg2fPVM3wM5H1rWY2hceGUeNXw/T/quSXYY/FvUTRx+IhG +iYcMFnofVHXBiAjaPOi80+1LBuHHg18Pfjz49eCf635xw53anWSeHPLm4Fd5 +W3FKwU37pN8EfhT4TeBHQZwOcYSzQZ+eTz4s/caDW2VvP/N3k9DTljjvO5bq +aKIKW+7/WalJFKXVG+D+qaJJ6EcRTv06pJW06B/XfjZlWRVHGyzaZEBpEw3f +6v2mxrA46ve0+pv6tUy05Hz7FkmtY6lNpj4Ya80DkfdOa8+TrfGDGBEnymQH +S2Jt7qXW9Mck4aeB3wZ+GvhtioR+LVRiorwPLWHn2V2bRieR4/SR2ceX1FGh +SQ/uDhqUJO5v6Fq7d9qKEUkUUbZj0we/6Gh5zkIjgvslUeFaQ1+9O6CjbL/d +HNQqp5mWNtwb+DjgCR0e8exCYgHEOx+TR7Fi44YXNVPgz36z6vgEkEtwwtXC +P5tp2sdcjh97PaZi00aV8chlpoLlG3xOP/CE6k45GdAxv5kSvlT/ddiDx9Qj +YV3lK4VNIj8S8u/Utsan/AonUQtv1wKzk/S0qv+LgbkKJNGotxWdfCzysN88 +9yrnfk4SdizsWsQ9EAeB3w1+OPjd4IdDP+j3p6uHy5UrnUSFdv2ds/Y8PX2t +8nuBVUWTqPLUl788Pi3HgXFhHBjXmqGLvCtb9MbDUVR8ctUIChvq5eg4Tn63 +AeeAIa9hN8COgF15qm/hW5vKHqNC+cqX6+trFHoeziWLvAqrPbY8U08OofWZ +enOGzXeNcG4bdhTsKpzrRvwB/cDOGuecYCw55A4F/9Lmn/4j5bltnOP+y5rH ++dSa14lx4Rw39DCcI9boPl3sP9g9sIMwXpwjh90DOwj949w44m6Iw6F/nBtH +XA1xNuhvODeOuNpja5wNeMC58W914gcdbhlJx0dkcyxxWealIk8VcUjEJSHv +EYfEOmJdgV+sK/hrYGbcJ5XSMucRIfIOYafCbsU6Y92xzlj31lt9++cZd1v4 +z5J7LWkY5epBqzY3b5Elhys5Za3r1rXDberaM3VDZIkLFOPfb8t0i91ff1e1 +l/UjTlHn4xVd21ng/fH908fFnqIlf09MGLw9UORFD7P6+eD32/plbeS+FYFU +4VP+aw2zewk/B/we8GvAzwE/Evjp1pL+Xj0P6qjj4ipnEh7F0SCH1lsejjDQ +T4dLdGrSUkfpfQtsa94Q301LpYzYou3H1E2lFdlHhPw1N5Vuez6J++euiRat +OHAvaUmw4OPg6+Dj4OtYn8GVbr66SSb6Vrvey9dXoqjr4vzP9/YwUaXeL14u +6hpDjV9+KfNXE5O4t3OvY930Wr8n0811B71mjkihK/1KnR8/MJn+7nFh7NSm +KdQ69vnFLMOSqfaKp8ONb5Ipd7NWzQ+OSaYXMw+/8siXQt86PEv6ODKZfmq/ +MstNCx89FeFapamFr8KOhV07ukfvkOsv7gg6wX3Lkalbsj3ctIs6nntQoXtD +fB9+Jc3O8nj31Ep3ybPn68g7J9fQn4OyrrsQc4cuOZSvGX1hu4ijIa4GPyb8 +mvBjwq8JPyb8mvBjwq+J+OmyxvlTDpePpjXWvM5frXme4UlNfih7Lpxcj57Q +BxePFn5N+DnhNwL9Iu8AfuChcb95P97lR930b4vdnX1P6FOl0+fXqHjeg4ZU +PO0Qec1P4GXrnYquH/c8E/LIZeaFHJXdnlGDjp5hO24FUN46sRMOHn9G9eZM +32Js/Jiubvr90R8rn1HF8UWbtW3+hLbd+O3CqHXPaNf2lvNMeZ6Qx7qzjn18 +0sR3pXYUbHP8lHsabWnWf4VzeDql7vtr7lOvNDqRe0zdVofSqW7Bt3cuPUqj +foPXJbwflk71fkl799v9NBr5euj+J6vSxTlm8DXMC/PEvDBPzAvznGbN0+li +zdu5eS1L/UnunlRt+42Dnaf7UYDTlepLx4VS0aph0wtuDBL8BH7TjxX3d8xp +keMz3MvUDCsdT0PedSu8cb9FD24b3TSkjrznD3mH/bZ67vseF6rXud6c73Gi +KQP8GvfNCKRsJbzj6pRzo/Odc8QuaBot+Pe+Xgv79q4fTXVm+iTMnB9G+XvW ++zsnRVOLzm8HbDKG0OnwPx06T5XnpmAnw27GuWz1/m1pRxcydMr+JnsYZVn2 +QXd0zgP6MLJniyvtQ4V/J28Xc7lXPUPp0KQGV4ruDqbPzebfeNs4lKY7t7lu +WB5Ck1cmTHi9Syf0IeQpIG/hnVvJv8J266hd5zaB4z3iqfPWviezWepX6nx3 +uXs2Ha3teWNMLQt88HOkZ7kv8t5DxOUQh0NcDnE4xOUQh0NcDnE4xOVAZ3km +pRSO+JRETW9eqrQ+MJ2WdQ+ZVPpNksDHweiUJvlTk6jq+K5Z0szptDXnjuvL +XyeJ36Ed/A7t4Hdop7Cz7ktaYhK9HNQn4kT/DNEO2kVeEfKMkFeEPCPwQfBF +8EHwRfBB8EXwQfBF8EHwReT9IA8IeT/IA4I/AH56+OXhp4dfHn56+P0RB4Df +H3EA+P0RB6jqOzrk+qZEmjAy8c6U20Yhp+Hnh18ffv4/rszrXnyRK13ocHDH +2SMewk/X8blbr/Z5/Si1T8rTuTe86WGuwefqVvWjyds7hL8Y40tVd+S81dN4 +X/Ap8C3wKfAt8CnwLfAp8C3wKfAtnMvBOZ3n48YsLrUjgVq3L5X8pptB0AX4 +GvgY+Br4GPga+Bj4GvgY+FpS+ryea1uaqW/HCk8Tf0YeSiT9NuVQrTrfomhy +zlmNLo+Lom29cw7+8D6Kzt3qsO5cSwN5VphldFikp7F/vgpPrRQm/EmO68yl +mvSOFnpM4xub9/75WzQtv96rXK41QbR1YJ0frnWKpu2ZZQjVn/L72As35fdH +Xw5rljFskJF+6bO3Vp8SFjv7cOCo5TWMVGf1nflfhwfQh7bB79oGGwS/gp07 +ymr3pufr9eTJUwNlH1PnnqF+GJ1emddzaoSBat1eOXRnBQtfqZ4ttIwFXlju +Rb5GNUOpn9vpjH9uG0T/qfGe+Yb6Gv6/sq48nqrtixvipRS9aJBKL0LDVV6o +0CpFk5QnP6Ve86SB5pQy/EiaHpIyhiRKmWWMrtSTJ0O5KIp7neuec92SeiUi +v1vdtc/v9f7an7s+e++799n7rLPW+q4BbKJnnQ6GeshQu56ef58C/oEmoXZ8 +PdGLH8j0ZOt6roNmPgVW2hvWh61ogM+bNewPJlJEbkG9eblMj66YYeuleoOC +1g+Fi5L3vQD3/dd9Pkv16LeCxYpdUr16t0fx6CU3KVC4/yZRd8wLCPy1b1PP +dDbu8TufTIOwD5aTnioXEjkQ5cJiZuq7O75pEBEb8WRrZwGsjeto8Bp5B7Ru +c5wjrQphwdByM0FICuSnBhQ/nFhI/EzR7xT9TNHvNPVc5gPxdR74bexOHtdU +RXAuxL3wHExlfpwlF7s696fxiByEuCLijN/zxEhkeWNYORm/cygXfvfXZ+Vm +iUyO/q5vsPVhvdyLXM6uo4j+i7g04tQoN6vw8rTKy9g8zVeMF27SV5Tq3wZJ +f1sF5JM6RNgi3erZyGsZtlVkP9gifQ13ge/IdvT7rSbrDy70WHrTAuNCJRA9 +Wfu8wVQxoWM/pGO/AdH3S+N0W0HxW8vWjRg9etq6mzEM5Nh1rY95ShM7OtZp +KZ4z65xJJk38EXT07nU8i2f74Tjsh+OwH45Duzra2UNTW1Wu+SYR+RTrOjD6 +1yZU6/HIcx88IHCu2UU+4dN7K4+nPhoiIfzKctjC2RpMO5QPExkdXSQi/sF+ +RbNqXGahn/RLyFkp9h17lCb6ScPJAtvKEprwa6RjP/wf/F/v6IA/st7TRN7+ +nleJJvZxbJFu53aL1jhPwxya06thUUDsOmjnQTr2c67oomNMGIIXYp2QgSm8 +ukYb1g6Ddhmk/7Pedgux6+A8OG/Y3Z/+KH2H66VIi3TMG++3bIIwSkDL8qPV +w1VZnA8+J3xueM9Q78J75rci0HSLjoTobWgXk7xK7kt/QcN129NZ47/WQXaw +NRy3vwgq+1MOOC3eQb6L+J3E7x/akVYFH4rbVCYi/oY3uXP+VFxKkX0yg9U+ +fUjlE/4oiXqx9TaNdZsjiZ9EoLdWMkdJBLazB9SJbcVg8HZ/elx+O1tnQcLR +mOnGtkjH8cn+87Iid1FE3hh/aZx8aD3bIt306bU7a8YIiT9Hl0JIzHYFIdF3 +IxrTyjaLKfI9o7zSbu93qCP30G6hi6/Wojrg1myd4qnDhTkzcmtzbergk7tN +qYshF5ZX3c2+zOUTPjm48GaxtfT37aioYWl/8UCtERRX3+PDPtfH5w5VsvXd +US5HORzlcrxHRzP/GsdxoGR5bppkeW/YOCeSv1z2Xn3ns2J4pjKy7HhIG7lH +H/tGzG7zuEeev5HykNubhU3k/UlYn/1H/4Mm8t4YjTXMSIlpIt979espm+f2 +iUDuS+j8HdWV4LKjf0XPNorcc3yOdo73rUzNE2ExN/3GvJk14B+V4Xnl0TVi +h3KR2aXuKKS2Dvm9Dl442GV6KxdB0OmfS/If8mFP3JInP6XVwqxJCbeMw9tg +vZtZlccUIVzgjjrP3UmBTtumcW3pLTBVc3xmSzmfnBfmbfhnvFPGD3knSn7I +K5EBmHcCx2FeCuyPeSfQPoV5mzBu6sd6oZjXBM8X7WbyZ7NzN+5KgVWPtpcM +l76vOicP1o8Ykg7qXySN5Xk08J5OsRDtoaB7TNHG6f00+A9ztcp3lep1Cf1h +vV9o+LimlzfIOR84HaF2c2exLdJ1Or8I/aGKtE+W7d3JcZKAQ59uoZa5VM7/ +4jx+G1cCl7LLesYYiQkd+yEd+2GcHMbNYT1Ra1fJiZ06DKxsOeXy96Rm0H9b +MvN4CAMVD+PSLtXQ0JY4W/m5ShsMnLooZ1UFDZQg6+LgOdJ7uOHKhc1WIsga +oeQyOk3Kh8Njl5nGi2DVuSSbNwnsOJwHx+E8OA7nwXE4D+LCiBMnREdvWbAw +CZZT9tYektPQ+hXephLBrNpFMdo0CC6VzlnV9vtrsHpnfLpaTQLHfBKuLlV6 +A76ezpuye9ohXG7xQPHJN3AoJ7s1tr0dPitcaLNcKIKt/Oo5TlI9eenEYf4T +FohgvH7ercmObB6KLlleigL1CJ+tliIYZHMy9PUDtt5orYG9Sb4vAw2qfi2G +Z2mYHN78OS2lANabNRkOcKHB++VXh0kujO99l35XKsfoXZ5xpXFtG7SpjODq +FdEg+ta2wXTqsNFD1xugrbmNE1/LzoPz4jw47y8vNfWslBgI0M0eqrvSDayT +jx2b1kPDnwENszW7z4BSu8+kFSIalDZZVlNMFKi4r/lwtp0Gmz23B6vtCgen +U8LcmlQaLJRbZ7qYZJIW6fODw4asD2XrbiJOgvIs4iSImyBOgrgJ4iT/rCOY +R+Z1P5JWEWDOQMlAnuaYjQJQU/7pfqcZA2t5qXcYT+n3Jm3DnfkcBjRWxP5W +VCOATn5W8fNfGagM+yUyKE4A7qUfveWmCqR60RHnu/MZOHRBe1/GOAEUjp+f +t3ABA/7nJGcVnvOhWHlWUeAyFldBnAVxFcRZcB6cF+fBeXEenLcsySXJT/q9 +XR1rcKI0R0hwHcR5cF+4T9wX7hP3hfvEfeE+D85WSEjub4OPcVllRjk0hBwK +GiX4WwQXauVVd0TT0GLRmXL/kQgu36rYxrlGQ8R5Wl8qisDAnTGhiSkU3Em8 +siFSQsOK1Ttjtw4XEnlBrlN/2Lx4FldBnAVxFcRZcF+4T1wHrgvXgevCdeC6 +xF7dY88ks3U7MT4I86riOnHduE5cN8f6wglbYyFE6CwU6zPsPDjv0sjGy1dj +a8GV2lsgMubB4S+hPtMW8wHcrE3mhfBhDi9849ClfKjoFrwzDvl33lmMY0I8 +EuM4Ma4T9UqM60Q8F/1m0U/2x3qemPcW/di+f2c6IGHf10SN1bBHlq+xOcXw +4mJtCra39txdMpCBx2WvzAymUOBtmv8mVJkhfAL5BvIJ5Btod0c7fLnML/y4 +zE9ccU177dRPEljerjauWFsCk90DJ5ndlUDAh2VBpnoSyJXhpoijIm6KOCri +poijtiVZPnRfKIYkj8FPkgdIwFuROfjWUixrJcDLaY3z20hD0v7M6us3WLsL +2mHQ7oJ2GOSfGLeCuCXimIhbIo6JuCXimIhbIo65NyYn9FRnEuRf4H8sSttH +7EJoJ0K7B9pBMA4H43ImF68wen/sNawcKHCwUJVAseP8cvNKEcwavX6Z8OhT +cE81b9TmiuDB0K1yM9c8g2mGgS5WdhRwvrUC4DicCLTI4sPDa+FK1YbPoWed +wFHlNh+68kqTf17dCPaNFVd6QxOhrH/KKquiEKiK2DFTvjIfSs7wf5/okQOm +Fts5l5LyIX7k2Ci3DbmEjv2Qjv2KP5kKFDZVweHtP4fvs6gkLdInnknYYvFr +CzR89Na6NZSNM8e4c4wzx7hzjDPHuHM8Zzx3PGc893m77P2MFF/D2d7DT7j6 +YliwcnG2XK8E5K2aQoINxMSuiXZO7IfjsB+OQ7l3rsyvb92nvWOn/V890VNh +iWve54mhuPtEx9VdYqjPunR2R5YYrIOWfbLazdKxH9KxH/ppo982+mmj3zb6 +aafL/LbRDol2SYyrwLzRJ5mkPIrzBjxHONmMqXkNQS/rNLnab6Av94Jv1LPX +hI79kI790J5hX5VltSpWAObnspXuLWLrjfrLv53cX/QGqkI0DgW3tkN95oLz +26R8Z2moXVirsB2iVAf3eaoLwY4Jr8pIrQJ3xYYsupuCd8ppLjXva0Bbbpp8 +h6oQnHQ7Am2MqmGCf4G15ztKyp/HhNveeQpWd2MOjKIoGBUccNRxWC0skuFu +clO/43CHde4G6Eh/z3wW5PwsvxGOzJBbu9dYBOrR/Uv0Il+CMxM9M3E8W380 +nlre4zG5BZZ3xnRERvCJXIxyMsrFKCejHoR6kWXl1YLLv1GQfNPR8ICKAMSC +Tb92SZ+z2fbpnfYLBHBgcuoNU0W2fifK1Shno1yNcjbKUShXoR0G7TIpPjGv +Xjm2wMfhpfr7jzMwqUovyOS89H2Z/sKt/CBbhzNy8RGT2BUMaZGOfBv5OPJt +5OOob2BeO9QruGY8+zQxTewwaJcxeBy7NFOPbdEug3aJqnRz523BbJvnVO+j +rMfW29zy3JHnObEJIOhBmklwPZh8uBispdMEZYP2ugqb6+GY7nn13FFs/c0A +Y8dB8v5svU1e6cDCwY//XW9Ta5FBfM42tt4m2mlQrkQ5E+VKlDPVTNU9dgcw +ECpfcP9yeTP5juN3HfUM1DtQLkE5RceI2at0pQXqokp1Dx5gYMb99Gkv7v27 +buAln1LLYFeGyAEoF6AcgHIBygEoFzyJsNyvdoStv4l+xuh3bGo6/AUcFkHj +opcT1sY1wMqKy77Rr9h6m5p9ko4pw5tgRqjZmu3DnsOogC9uwrMiMFbvay7X +rIfhHjuLRpwRwQ6Ou2aXKVt/E+NQOCVjmWWGTdBm1B2TN6AeLjba/vX+PxS4 +Xsy/cauUD72jneaPnNgCWrfu7cz3ZutAXq849+CkqojkUdncM3pe2Pl40iId +9RIch/cc7z3ec7z3eC+JX5csDx3mpdvR7jwudmwT7PzWNsCjHEPHWF8RZOQK +K8+E1xM9BPUS1ENQL9m4b3Thif8ycCovueWhBnuueM54rnjOeK54zqfHpOvG +Clg7Gq/13HSXEyKpvmxxa6t0PZv3yVlpHxWBRt0eJ0+vBhLXg3E++Bw+T/Ix +uepGETv0kDiuupZqExzy8njaHcLWL1T9FvfLyOwvr+DQxABzXl4zxJv+Ijhw +hoHf8jQ6hbnN0F2rWv3uCEXqOwjph5UTR4ogsMXe72v/zSrrY5Kj+KR+hINj +yStzdRE8c2Gav/72StydOPsABbvn9j7RkP4WK9RNqZHyz/8BllyoHQ== + "], {{ + {RGBColor[0.18357066666666666`, 0.197926, 0.21248733333333333`], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJwtkCEOwkAQRX+hxbUNi0ZwA65AwEGaUE8FqcGUK6C4CEFjCCHBwRFI8IDC +IxHMzx8x2dmdN/P/7GC5LpsWgL5F22IfgCYBLhlQ5kCvA5ztvFlsLP+mwDQC +3gbfjX90gWEMjIyvrb61eEH1VSzmkymv7JxF6idzSvROljqhI553Mk/oDD6z +8jk/12Q/WdZrZ+iPPq/m9xDEwPK578Kddrn4Y6oamUmQFv1Frlu4h3GQHnel +Nj0sMr1Rnwz/jHfm9MN+7lL4vpz5B3khMB8= + "]], + PolygonBox[{{4023, 211, 1664, 4035}, {4024, 1555, 211, + 4023}, {4676, 1462, 1072, 4675}, {3578, 1670, 1636, 4003}, { + 3816, 211, 1129, 3817}, {3677, 1129, 1462, 4783}, {4034, + 1664, 211, 3816}, {3508, 1636, 1554, 3920}, {3649, 1072, + 1390, 4773}, {3920, 1554, 1555, 3921}}]}]}, + {RGBColor[0.2288727925, 0.2508225725, 0.2727220325], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNkztPVVEQhTcX5XLBe849N5HeRBsVxQ4TLEQTKg1agWCUGytR1GhMeJTG +PyB/wBgtbHgaDA8L/QuijS2GV2GjhUHi+liTaLEz+8yeM2vNmpljjQfXx0op +pXGdZp2ZIqXp1pTmZF/I/jiU0rACViop3WtLaVl2SoEjOkPyf23y+7psd9n3 +WrJ/KO78e/CfvkfbnOez3k8Lo7clpYnctktnUjGP2lPqEPZdYc/X/b0ge05n +V//2V1Pa0ftRcYD7lu49itlvMg4YG2XjjAZnaqKeP8GTO1wzcfiu73eFMc+X +nYf36agfbpVW83suzExHlFNn8KeOn5k1qOauE8wv+h6UHahYr9s1578le6pw +zpOyC6E52me5Md8q3xXFnVD8VdkLyrHZ6rr6ysZFK+p+2G6t4Ac2/u1W3+EA +X/oBZ/KSf15YM9JzTP/elG9N+T9wSsbkflx2ru78s3XrSS/p3cvDKT1od13g +rkR/qZecN0ruE/3qqnsW4MI8DMfccAcDbLi9Udye/H2Fa92PmGu5a+iX3ZX/ +Trt7v1oxLviv6/ZfzFw/XJgN5gQt4IP23dHf8aqxwKzFDDAL8IEbvbykt33x +v1y3HmuhCbGjMcOLhe23urmshj6zhWdtQjhPW7wzjWZrQA+pC01Gmv/1qBF9 +2sqs72Zm31TsWuO/nSMv+Z8V7sNgzNin3HhLsq9yz+vvqt8GYiaxxKMJucHi +nbqYs43QCb3AQPOd0BA9duOObzf2cDti0JzekWcvsHgDdyrmkpjlwMFP/Fb0 +Gx/ftdhr7uTpjxlYrFp7uBK7Xjiut+65YrbpHTgDUeOTqn3sKH2iP4/lO6t/ +jyiuM/O+d0e9PbFP8EFres58shfcybUUOr/PPa9wzAvXDTe+N6OPH3PvOft+ +pnDujqiXnHBg75ixg90r+a075uRX4Z2/X3O/4Tgp/n8B9f7NpA== + "]], PolygonBox[CompressedData[" +1:eJwtkrlKQ2EQhU8Sl8R4s1xcakEriUunYGMUrBRMp+BCsLJIFEVwqX0CX0DE +2myCoFi4vIHxEYRACguxiuI3jMXPPeefmTNn/rkjxXKhFJU0yunivGalXUC7 +T5oOpZmUNBSX9pNSDd4hvpaQyvBNYrfwj17pLSI1wIvk/FK7bqJpaQD+QP5U +jzSc4Ru6tvV4Ib8RSKmYdM65Ir/K3QX9ftCrgNvE5+jV4q4JPyEnj9YSPb/h +9dC9mZ55D4g3qf2Ep8Bp7joR95gBf6F3Rq8jNJ6JHwTu3Tya11rWa81DHXwa +uJdZ6rfxn2PmfmJj8GX4u3mM+8wLoc9kXvbwVIXfpb1XkZ6FtB/DNvMquBJ6 +rs1os86jv5N0TdO+hw/G/O6a3Dr8MeoeJrP/b4p+Aj4Of0LzsttntFlXMu7V +3uQw8J3Ybkro3YS+Q9ul1bTA+dDf2t7smPyNlOfazm33E1nvZTvIgbcy/jb2 +j9i/8gcQalAS + "]]}]}, + {RGBColor[0.2607944475, 0.2865273075, 0.3089483275], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFlstPXVUUxjdwLxwu3HPuuZrQtFDQ1IbGoKUxxgB1UB1YfBUmxgFgTByY +NO3AR+JrotT+A1acqCMYNaYt3r4ctAMfA40dgIm2hIkmThyaS5to4ve73yIO +dvbe6+y9Ht/61trngVdPz5/qTiltafRoLOUp3ammdKBI6fN6Stv6+JTW5yX7 +XmNfJaW88LpeeN+j9S1dXslS+mQgpQntvy1TuqL94WZK61p/qvUlzZnmOX0f +1L29Wv+g9X6txzS/VLG+dtXnkR3RflJjQX680khpqi+l9+RXl2xf0ff75O87 +2v9bS+mYbO3o7F2Nn+TPk1Xvf+yxjLVcSOd6ZUPrD7sta4f8YJ/jrGu/HXHt +l/xo1brQs1qxDyPckQ+/daV0XJcfrNifrtDJefSOyufPdO9sYdnRkL8cdkak +f0r39yjeGc1FYUwahXXd0BjVmTOSPVbxfjP3/mOdH63YNmfBb7hin3siV6xH +4zt6tqrOL/vbXcYe+XXZv5Y5LuarmXUty9aa5jOlsSbGL5vmBNz4uXCeL2ts +Ss+iZK3MulshJ3fflbax3rSMOyeFy8OSbygfQ8LphMYhYTvX8JlW6IRb2AKr +24Xz1yyNE7ERw4u6Myn5SX0/oHt/9pk3a4EZ8U4GN8g13PogOAdf8QFOLndb +z6/y/wv5+rjW79dtizX2Jkv7ib8d3yr27x/Z/kjzHc07Gl/Bs8JxLATez3JX +++c0P1qaB+u5daxEnOSWu+QbvsxrzFStY6NiPUOZ42ZNLbYj38txhhjJ1Vb1 +/9g3o45u9Nse3Dhbmg/U/VzY2uX5SPAJ23yjP2yEHvQ/3zCHJ3T394gdDOA3 +OWJPrOOZYzmXGfOx8HcsfP66dO9oaZ6uOh/4cKH0nYul+wo5mogawifqtx0Y +sb6/6TNvKF/dufE8XPrs070+Mx/3O/p7Lf8manY65P0153dc42a/1+hq5+bF +W3XHfT76Xqc+quYZ+o732dbphtenGubWXOifkE8DiusRsO+yHXLxdt395F7u +OPGHPsYeOf1mJ3zAF/yeibzATfrAaPB5MPresGLZV3M902P2Bm/wdSl6wkHJ +Hsq8J7cbwRN66msD7sG9Wtd05ljFNbMa3PildB3/VbcN6p+Y4NRa9B1i5e5g +1Opo9Bx6Sge73HzeE75tRs+HYzvRW6dyc+f1zLY5yx2wgPND0XOeyM3bJWE+ +mzvH9wpj0Ar/LjV9hrOXow8thN+LgQkx00fwgzerWjPO2Kf/r0Y++YYcHUcC +t9nSmD5TGme4vxRcpSaIayv6GP2M7+OBf63mu+SbNVzczQ1zhy+ZzyADd2xf +aBoDsAAT7CyHLTgJT+BLo3RvLErHxhqOlaU5+7cwebPut/AFYTidG3/yMF1a +NxyED2BC/HAErIifPGeRa/K1Gnyhv1Ob1Oi+kMF5dKALXk02/UbwVhArsY/H +m8wdau1W4Vqkvi82/Y7wr0Gd0tc4jw+z/dbZLr1+t7C8N3xGN/iCMzzHd3AE +11pgfjd4CD7oRT8+w3P4tBhvBTiD92L0ePhD3V2L92v3TR2OmrkaeeSt4v4f +hWtuOe5zhu/YWgpeonM6/mfwB//wiW/z0Z/JMX0dP1fif2wiekgrfMYf3hj+ +SUbiP2E7sOX7cJzB3+vhP/puhs56nOXuoeiP+NGJL/oM8v7A9j+E6zN2 + "]], PolygonBox[CompressedData[" +1:eJwlk81LlFEUxo9pM5PT+9657yoCISMkK82BCBxbDUI5fbtrlQQtgtJFKmS5 +Kc1Ny8w21c5FiI5aBLWvTdQig8TBjUH/QCotAn8PZ3HgOV/Puefjtt8aGRze +Z2a9SAvyL5jVc2afMD5LzH6jl9GfoG+Bq5nZ/1azu81mP6NZA/150WyuYPYO +fQk5st/sBfoq+BLSCT4D+Tb526nZAv6OvNlo4jb5FqmxC55BXsK9Sb1X+HuJ +P0z+IaQC107w2Gk41vAtY5steE3VHsLWAH9AmoidRPpz3lMN3wViOog/jlTR +u5CE+jeIP41vCrmDbxJ9gvpjyK8mn8HVktk8/d4u+gweJB6jWL2hTu634G+f +o4fv4G5sRXwHqXECPAzHQN7fpLe9pf4O+Z+RFP0RfGfxfUEP6KfIaS04Rxf4 +HvlVuGoHyEO/jt4J3zpvHCf3IVLJew/q5Rr6Gnv9iF7m7W8yn81ROPqo3SO9 +4DGKncY2j2+DmBnyb8Lf1uKcQ+CA7Q/4GDnnwSvRd60e1MuVku9WM70Mrmd+ +K6qxDK6kXls9vkafCN6LelSv4hS3ZqxZbwS/vVniG+Cn0XevN06lvkPtUjd2 +Ed9A9FloxzVxBe9FN6HbyKJzPYYzglczn416XAGn2L42e48l8Lnot6cb6AOX +gu9GN6nbvM/MfuT8D+gv/E2dWzseof/30f+GOMXdE/02tLNy9JvQbYjjJDgJ +fgv6I/ore4+hdbM= + "]]}]}, + {RGBColor[0.2927161025, 0.32223204250000004`, 0.3451746225], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFlktsVmUQhj/a0/9vJT3nP6VqlEQh1jTRQrQNikBENF5oCwRq4k5b2NEW +iomXhS68QCvgZeWmVJYsDIRETdzaBWIMvWC7EvxB0Qg7EtFYNPo+vGNcnHxz +vjPfzDsz78x3Vu/ev2tfQ0rpip5GPU+UKd3bnNIWrb16OiVv1Xq2yXJPltLu +Wkr3ax3SOqy9UT0jeh8vLR/MU+orrfuk5LrW63qSHE3reQQbDX7qy1Jaq0+b +ctv8S+tw5v012u/V+9N6f7OQP+n/EPqft6X0pTC163ubvn0jeY/wzCmI3qow +SHek2fjw+7K+9Wv/gNa+quWD4b+ral+PVlK6R/qdgRv8zymO7mafmZDtzaV1 +Hi/tpy/sLBX+vkXrgtZLOvuj9r9qsYz9V1tTekD6O4Vhb2C7lbeIa1WyLmem +ZOM72ZrU2igs5xtsX2Hfsst+l+RByX0tPrtY+Fwm/dPKx+rMWC5L55jWB6mz +1v4Wn1suvZ3LU/pQRqdb7JdcjCsPW/WMS3dQ37e1/H8O+Z9lzhH5zxqMf0n7 +h2K9GfJQ8ITaHm817meFsbviM+jgjxpc1LMxt7/jwnO1alvEhQ7YyCFxnY3Y +2JuOXBWFcb0hP9eqxoAN4njxNuevLnlHxXkg7mtRuxdKY2kvvXc19qkV/orM +3APnos6OqW4T2j+h/Xb5Xaf1qdw1vC8zP8GXNTn/k/L5mZ7t2ttVc/yjhfuM +HJLLjfJ9l943af2p8JkrWo/q/YD2j2i92GQZv/CnHj31eqvz93dujPQPOMHS +EXiOSucdnf+zcE34dkG6y/Q+KnkwNxdH4yw2RkKmLzrDFvleU3XO8T8c3H5M +51dJrhX+Ts3AxBnOwhN6M8/M4SxqyFniPtXk8xcjr+ijuz30T5KnqvdK5eJX +yW1ah3Kf+UJKJyueM/TtgOTLFfN+qtV1Hy9ch4+jFhMxK7DfEzMKTA/Lbqsw +PaT1SMUyHIBT8AOu0Lt7Y7bUox7k4o/COG5o3VA6JnKDHWx0RY8TP7F/LZ0x +vXe3mdc9gQFejEUeeK9Hrs41eh5SeuYn3CPP5Bbe0i9HC8f/fuG5if4+8W5H +zTl8pdVYTgc/b+bmwlLu2k3HHAD7fKP7Cn7AjY6YtXCiI3CD80zpnmC2M+N/ +Lpwneos5Qv+BGXvUErzMrf6YJ1ncDXB1LHjAHpwmvhWyl1U8y+hf6v+pdGZi +LvXFTJuV3mHpzRTuMXrtl8L1GQm+XijMge8L9y05XB9zmxlFjT5qsR1kZhb7 +C1qfKYzhfGHOEst88Ggu5jNY2KMWZ6K+u+XnvdKz43Bp/s2EPrP8RLN9wYtL +Mbe3RX6YvfORL3LFfcCZD4Th7jbPt5VttklcM5FvuELOeT/3H7bc99lAaQ4s +xD2ykJvLvxfmEbEwA7lL6PXu0vONuQ1X4BTzBPv0DZxP4RPf+Ho39x18qDT+ +ucgJdSRe8giXOmIeXQ+ew/fJ6NE87kfqeCHmKziQP5GTlzTHN+S2Nxl3HXlj +/xZv425ljnFX98Y9zpykf+AWdT4StYa/6+L/hDpMBSeYSfAbjt6IHu8PbnPH +EDN24A3x0TunghtL0V+vqe96SvfYQM09eiwwg5+zYOAbOs/H/UmOiHtl1Hpz +4ZrCf/K9v2b5N/l5uzCet2Kuwx1iJwfcYYvBbfyBczr+w9aGDvmiRvXQZ5/Z +mcW9eSL6m97E9mDY5K4ej7PMyaW4f+kPajgXeOENmDtitmF/fdyh3wr/nZJn +pXeH1tvjPl4Rs2U25sue3D3F7PwXy5FY8Q== + "]], PolygonBox[CompressedData[" +1:eJwlk8tLlGEUxs+Mzjgl833zjlYUkQWFEASlVKCVShSlhqmts3SZt4Iui1p0 +USe12rUJc9kijKCC/oTCUDAjKCUsi2gdTlZQv4ezOHzPec/tfZ/zfNu6Bzr6 +k2bWjJViudhsK+BfwiwGV2CL4L2cVYJHsLa02SesKmc2HXlsH/YG3M/ZEfDj +lNkAOMnZGLmj2Cy1d7EHJWafGTqZNRskp6XMrCbDl9wPxGeI3yd/AbysfHBE +z17wfOy1E+S8Ax8PZtXUvmJewD9Fv11lfucr9G8lPkV9LfUt4DlylpJ+h7fg +X8wcwm+l5gK1o+QM0u8R+QXwTOx3L8UOiw/OfpDbXm5WTu3H2O/6DPsLHiJ+ +jvpe7BbxIv6JNWZnyK/H72HGa+66g/7d4PecFVI+8za5x4LfVW9qBp/P+d3E +kbg6xNkWYvuZd433DQefZbxhnl678bMZ51zcV2Iv6V/FWSOxdnrspFfMjJPg +7dy5T9xiXZGfKaYee4JzKm6fYqvEV7Ap8BOsCG4K3ruamoPgn5Hv/jszAv6L +PLvQ+4j3ELtDv8607+AouAE7vZY9cnYjdo7FtTQ2wfsa8eeSnrOJXnX06Cp3 +TsXtN+I15A6T8xV8NevaVc5D8u/lfVfasXY9mfddLLP/CvwD9NiYcc3XBX+T +3qazevyV2LmVhorgVexmyjXeTG4++FulWWlXHIrLPupHiI1phxnn4GzkmpK2 +dDYOrgx+d2lqXXANSUvS/Bfwemw25RqRVrQD7UI7vMRba4L/C9J8LXgo8tnS +oLR4mZyFhHPUkXPNSDvSYJ7eTVihxDkW1/rH9K9V06+N/ItZx9q5dq9/XP+6 +7rQhdg7FpTSUwO+OfNfS3HO47gz+b2vGb+Kb6beUdg2M41+Pffcj2HTsGpKW +pPEG8RH5v6I3/AH/B2d/mTQ= + "]]}]}, + {RGBColor[0.3246377575, 0.3579367775, 0.38140091750000005`], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmFuMldUVx7+ZM3Nu9nyXMzO1UTDxhQcvkOiD1DqgidKH1ghIIuKVuRCf +QGAiFx2sRigDAk01QZpG40ST9skgKBBAxgc13HxghAkNSWUMaGIxSKNtFJP+ +f/NfJ/bhy95nf2uvvS7/9d/rOzf2rVi4vD1JkmVtSVLSOL2eJDfoOaP5tGqS +VDT/TcVjVU+7hKdXPef9y1mS/BrZRpJskYLfl5PkrGTuij3Iz+5IkgOdSXJR +7y+UvK9f60c0fqBnud4/VlimXfru1/wmrd+bJsk3en4r/Z9r/LvWXq3JHv0e +l553JH9K4yWd9ZPW/6Xxm4r3dkr/qtwy/9XebbLrFclUNP6t6vmd0rOjbJ1V +jec7bMtdWq9o/9Wa9YxVbesKvVsqn9bU7OvvpHee1p7WOT3aP6inW88t+r1E +64v1fpf2PSP5zxXfc2XHh70fyc6nZNuo5rlkH9BzY+LY/bnk+UKddVLyh/Ru +vNM6N7c7jis1n5DMo4XnAzrrZc1X6LzNGrdr36KyfcSPn8KXScl2dtpH4sW7 +Xs2zriR5Xe/+kDrWxPzb3Dkkl2Bgt/bdXLG95B8ckF98fE1Ps8P+4NdFrX+Z +eW2m9M0tLN+rsSq9Y7Jtk9ZnSt8eyRcdjjm+4Rd6yBP2/6ns9+T9dMSL+Dwn +23frnUxP9hc+a5Z0LpFtD9dt0yA4I7dtPh/sgcEPy14v6/2I9pY0TqReGwv5 +1wrH/hWt70/tV2/D8ZsROPkHeEeP5oek+2DVtfPP1Gs9DceqEvXyvXw/KZ9n +dNlWbCZOw7JpTdm+313Yxm6931l33PGbGBCrCc2vl653NT9Tsq1vl2zPDbkx +8yud+5X0LpHMdZoPtNu2yTaPh6IGqU1iDjbAF/Ijms+pOEbEp1Uz5PTV1DEh +NtQMNfml1t8qeU6O/qr12VVjGl9PVGzfVyGHDLLM2XtB9o3q3McL1yo1u6Np +v8k1vv+Y2t+rqW0BH9jzUOra6MntBxjCl3mZ7d6WGfOt8+/W7zat35NZFv/A +Pzj5os1zaqIS6xcbzstLsueHzHh7UHY+mLnmF2m8QzLLZMO+1LElrsT5jYZr +cHtmnhuIM+A4uG5I4/Op6476uz43nqZp/LZpTFzWuLjuWkVnb9TRPRoHKo4h +fvVLz+prkuQ9yb8ovYBvbuZYwlHw5JPS80TwFzyFj+Ctv+J4kov3C9fzgcJc +gG3TpOePqfFQy10jgxE7cAbeak3zDvyzReMn0vlxxTn6hfb+Rev7CnPk7ODJ +1yMv4BeORAaevJAZQxc1Lg/ehZerOqOE3U3HaUPNtQef4tM4ue8yllqYGg4+ +6ZPfz9bMFWs1rqsZB8SE38RruGad6CFOwzE/G++kbipGxApeAuNfV4zz4xqP +RT7AyLo460ruWFzOvbb2/2xYE3Pk4TLyhI3PxTo2c9+srzl/jNwP8D2+4dfm +3PkbyV3n1O9MzbfkxsfW3JwBX8EbxBEMwhXcCVfj3rzS4fsPub06c4+eVcFZ +cD+YXpWZL+5LbQ+2wMNrG+bxRbkxOBY5a/mD7EThXIBreHlLu3kG7HDPcedh +1/mwrU+6ejk3tyzYn5W4hiajTuH5XYEZcIEu9MCpnIH+y1FH3zWMt5PBRdR0 +T/AtddAdXNcT2GQde8A5NpFX8kv+qd2VwZv/zr0+p2G9cB31SOyPBx7QMxB8 +gk3ElXucGBNr+I0eBE6EU+nBDlZ/9pXYz4r7hXuhP2pvMHR+l/vcuQ3XEP0Q +MYF7qtEDUIfUI70aI5jkjl9QN59jT3/dcSSvqyP/nDsjsEFejsZe9IF78E8v +hu+TIfN9I+qucJ8FX8PF3J9HY+9e5WWVsNInLB2uej7lW8W9ETW2MWqzLeqP +GqUGr2t6DS6HBw5UXKef6uV/Oo3lddEbIDdd8pvActPcw91G/MAV3EqM6cvw +/2zouRK1QP1Rh9QjWO6LesQf/CCecDs5I1/U9NKQB9cLAtvkAeyQi4MhT5+w +PuThMGLMufQirZ6PvEwEx3NvUov0Y9z71C+55r67FL0v80cK7+VupG+ln8fG +awvLNLR+rNN+4iM1tCT6pd7QT193u+RTrd1WOA9Pxt2BP/Prrn16M2SmepO6 +17G5mVnHcMMxWBg4mx8xQWZU45t154Cz6dnIyYzoUfEb7joWdoJ7/AeT2AFH +k3f2YT+YZw07W3z+RMxHoydEZnXwGHzWnVl/V+b8b4oauCY1rrsK4wOOpNb4 +jtgeNcVdx/1Evrj/z8VdBOa3hQx+TAb3Ui/j0dufzvzt8Vnm2E1EX0SPszv6 +uo2ZcflSZoxzBv4uTc2vW2VbV8N9Jv3meOZzT2U+51ScRQ9JPaNzYe4efk3D +eG7dLSsz18Z7Wh+Kb74zkefToefW+K7h++Z45lp8IfwAB9jPtxexBYfX6t0G +CZ1IXZcboq7A45HokxnHYj71/RXfg/h3JOY84BceZe/0wDO60En84c8dYcNU +zxB3ELovRa31FOar7sJ37LNx5w6m5nO+peDYw8GzfA+g+5eZ47c3OLE7ephy +cPmewDNYHg2MUY9vxpxYDgWXPhwyYB47z0e9o2ckeJ7eB6zQ+y6ImqLmiD0y +mwNvYG08zuU8MIqdQ5Hr9fGd2uLznZFL8LUzZA7HtwDxWRz1iJ6J4HN4h9rf +GHU0FFjCzlLct+gnx+TieOo4rY6z6KeGo0/jO5l4r8ydk8NxLj1LM3wbCV5u +xWpxcAJ64Prx+G+B7x/sh1/gmTmF47Qnzv0f0IIxXA== + "]], PolygonBox[CompressedData[" +1:eJwtlEtszVEQxqePe3tb7v/+//f2kbitxMaCKGGhElrPdoGNNiH1SPoSG5oi +aoMQr5YiYUOERKxJUSUhWCBatVA2YmPRaiLeWkmR+H3GYpLvnG/OnDkz35wZ +ze3rduSa2SYsH3samT1MmO2aYtYSmBVjI3lmO1nfSpuVwn8sMLuAz1S4ptBs +MeslWDN4d8rsbsysimC7wJ/ZewzXgh0HN7BXEjfrxEaTZiuI8QL/AawYbhmW +A9eLTYIzKeduYn/wbQ48l/vc/4Rc5hFzjAc8J/64coHPJjwn5SYf+X4sMptP +/tXcOQA3iP2A78BqyfU68XeCT6cdD/PmKcTKRI4/4F8CnovP+1yP8R18gr12 +zrdzx0lwMfHfkvtWYiwEf8WnTnXF/xs4y3ve5VBjfBKsf3PHjdj/nAPPSbm1 +Yt3gVYHXchb8WuIfDfzsA6wAvpV1R77XfDP8OHfuI98rrGMZs5qk12YIm8A/ +hv8z8Db4O+BT5NNArFNYHutKLE28RvgxuELOPIKrVk6h11C1lEakFfVEvamE +35v0GIrVgw1z/mXKcQFWC94SeW7KuQ3f/si1tKfQ7Brr7fiEcLOJt477kux9 +KnDNSXuv4E+rdlgduDjy3lQRYz24M+lne7ljkrOH06411WQCLp+9M3GP8Vpa +5cz5hL/5TuRv1Fur4Dvgq9nLpd8V+NSAC4k3pFopB3AWO1Lkmp0Gro9cu9LU +atUz9Fo2sp4D7kl5LRahiZPgvrTPmjTUhP+yyO/SzC0Fz8x47y7BH4BvCL3W +Eet66S90rWgGNAvlKfeVxqS1rtBnT5qVdq+y1xb3GawH9weu1bv4/KI+GwLP +dZi9jdxfhc/PmM+oZvUga6AZ5w+BlyRdS5pxzXpJ6GfvEeMc/isD1656WEa8 +Uc5cjHuP1Wv1UL2UBi8Tq5zzb+L/wlsm6T1ULzUjv8CD2P6Y56TcSrG8XN8r +Ax/G1sR9BjWLqpFqFZDDAu6fHzmWBqQFzZBmSRo/FrgGpUVp4ja+ZwN/i3o+ +XbUM/a+TJtIpr5lqp5yzcF9Cn3XNmGatJuW1kkaklb6ka0s9UC+6I/879IYu +cDk+R/FtwZan3IT1piPSTtq1J5+KtGte2ldNR+D/AjzDujc= + "]]}]}, + {RGBColor[0.3723175625, 0.40476015, 0.42477252499999996`], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFmGuMVWcVhjfDcOacA+fsc2ag1dKaSBMutQINbUmNgDUF6gxTiUovAzVe +oAUTNEYlAo0DSrkoyKWFsUWodkDljxESbUGj9o/0BzTVKGIq/aWtUWi9UBCm +Jr4P72v8cfJ9e+31rW9d3nXZ592f+txHPttRFMVTo4pitNbBWlFs0K+jUhTj +G/qJtqksijOdRfF+0WZrLatF8aN6UfxNZ36rw8N1800e4/0E7ZeI9xt6d5v2 +q7ROFv2s9nMqlvOIaOd0zzrR/yw5h7UeqlsGOhzOHhp79Lms33zRZhY+t16/ +13V2Yk9R/Eb0G6Tn2bHSSftl0rPa8n6i6Efr1hkd5kn/ufp9WgbP1vpz8fYX +tqvWYZ5B7ReK/qdRfo/8Xq0rO3w39z4mnpdFv0v0V2vWB5u+Ivqr0vVUxXYf +zb3oviD68w6eSdofCw+8a6uW9xndM0PP0/W7ULX/f9dpv1U77NOz8QM64UN0 +Z79I9JVdRfG25D+o/e/H2i/45EXpd3ysbcce5GD7eMnpkm5LRTuLHTorEcWb +uvuE+B+Fr+KYEN8r4ls4xjF+V8u2PNH0M3YS94WxFxorz2d172Hh6lEJ/6bO +dY6zfr3if6vbvr7YbR1fip5jerx/S+cW644+8VwWz4qaz2JXb8VYROdJDdv9 +dOl7Vuj3gJ5n6L4R8W3Tuky0+yq2CT8tr/nMdOn4TMV6vqN0fN+p9fq2sX9P +03gCVzeWjtWpuuOFPsjBlimJ519HGZfg55J0nqm7/0NutHzudM72iXaiy779 +vnj36HdEOjylsw/r3YHSeHij6ljcM9axWS6enS3He0/L798MD1gAO+ABPt6B +2/66dSXW+G9FdP6L7jiou6Y3zXsh/AcqpoPbqxX78/7C+XQqdWBHh/E5Fx6t +8xJr/Mn+D9pvkX6f1NnNWm9WjB4S7zO68491x4kYfVTPpXgPaf26+D4k2sWW +73wk927V871gU+tiMK77btbzjpZ5Dkn2qi7LRebR+Bl9t1WsA+fgfaVumfAc +Syyw40xsoU7w/Noox/RY4gpmVkbn3S1jB9xBWxU6de5McnZn6Zr469K6HM1d ++6vGG37a1fLZ70nORO23yQ8jDds3ZYxtpDayp27s035vzTEhdyvJX+JeS03Y +H/yAI2rU3NQu6gp4AifkwQtdlr9O+6nB7bTYSo1AD/R5TtiY0O36cJN0/GDp +2nyjaFv07ge6v6tl/L4omcM6U0/Nol6hVz377+jsJ8BW6VgS0zkN4/eNYBtZ +yNws2S+lpj7U6XfYAlamjjEdn/yz5Xv/oXUo+UisqBHI6RPPkU6fY1+Pr8gR +MPylumNNH6OekI/kBzmDLHLyvOhLkgtgB7335h7i/njNMgeoacl38p56Oy3+ +PJ3cAZMna44HsRjTtM/+3jLuwf/chmveLXXLWFO3nr+q+ceePnWdYrAVH5XG +AvEnxwYq1hldd1GPR9s2bFoUuz5f2i/LW8Y5GPhyxXifEqyChWnBxr9SS6mp +yMYHyJ8afnioH9iFb8Egd4FPetzqyIfWH/oVPf87dQZ8PdDluk4/uZw831Mz +DxigzlxJnm7v8P5/vWZ++g7+oNb3R/blyIef9/PSy3hGzsX0oKGmaTtCRz98 +ij9ZyTfwQy5OTm7i25H4l7llODMM/fN4euhN3Z6vurQONt3/JvcYq+CkNzKn +JseZJyq5a3fNdPxwKDMRc9fjyUFykblle+wCF+gPNkbiL2y5vtt18HTpvKwH +/88He2CQGK5O3Fclf5kT3ttynKa3jBviR+0jt44kv8BkNTJvk6xu6XRn2zk9 +I/PM+ZZnhK3S4VLLds9ruG4MJ8eGMxNi40/arpE/bNpP5Bq5QW+Znl5zJTay +B8foU9P6Xd2xRTo1u10zR3KWfj4Sn+CrNcn9q6HTs+Alz8E3ebomeUc/upp8 +J8+oY2CD/Lgl+P92aRq9jlpF/S0jc1/qNhikLxAv/DmUXoyNQ6kp17WtS6Np +HFOvwdvm0vtvNdyjiDX6706voecwc12JT/A7vYH6/3rDtf5npXMU2xbFRmZE +5IDd/twFfqGDYWoHeUlt3JoZakJqIHZd822+HfiGIJd7M08yN4EV6jG4aFU9 +P3yt9Az0hPgPNoxPcDrU8B3Utufb7pfH247P7MRodeZmsLpe6zr9lhZeH8s8 +DU6uhp95ZkEwU5XcjdRrrffJv3eK/37JP1axf4gjvAdSN5C5NvLX5i7kX5Ce +g+L5ZWk/nYyvyFVmDbCOTYvjz1lV5wi5yXfDunw7EMPtof+i9D0nSvcdcuN8 +cpHz/ek1YA8M4uO+xII6Sb2g3t0he9rin9l0DdwTeo90foXe3bIPp6Qmz0+N +QWdsYQYHD9y1OfcxF7+v07ZT26mPYJ26yLcE8QXfYIIceTt7sEH9Y46ZlFrH +HqzRZ8enF9A/uQ+7hqXnMnBe+n7oA/lm4cyyfJ/RI+mP2Ibt2LAx37OTUj+x +nd5BHd2d/aWG5+lN3Z4jeAe9K9+R1LQ9wTGzD/X4XHQ7mR5M7pDb5Hhf5hy+ +JwcyJ7Nn5uH9ufAQR84S61urzgdyYaQ0/sb1uN6cTD6uTw0hf8EesVqa79ZW +7mJtZ0/NYU66NvMLA+8RfX7Tcbs1d+GzY8H5k5mxJggPPy0t/3jpOZaz5Bvy +y5zdEjxwFz6bEtxs1PsNVde01xrW4WOl+3lfasGC6DFVNrZ6/B3+4abxBB35 +Xyj9f8EXS+N2TtVxOVNa9q70uw35Vh/XdH5TL1dof7foH2/7W4LY/Lhh3q+G +n1mFHMfO/W3T9zX9TbAss93tot2RXOP7bGvy64XS+U7ewzMrMpmjtyXHl2p9 +suJZERmzI4ecY1bYljmMeYHaSO25PXKGSp9/VvKXtKND07Pc0sicFX5k4kf8 +tqnxf7nU34OZsZ/VurPp+rivnW+1qr9NzqSWXptz2vbzg033MfABNtCJ+8Dq +y6Vrw/l8o2AL9/E/zWD+O2K2vStxvNbLR7uH4teB+Bb6QGzhG+hAvruZKagp +zBV856PDDbJvb9PYerpt3aZlHub/nA/EFmrnYPQEy/wXQ04/3DbP8qbnu978 +5wMeBoNV/DEvcu7OntrHzMGM8Vzbz/CRj/8FcVJpZA== + "]], PolygonBox[CompressedData[" +1:eJwllUlslWUUhk9qe3uv7f9//+2VgEyJCG5EhAQhMVY0wQEQJDJKwaAC6kaC +ujBgpCh2cKKUqVIBBUXZmii0GpWdCyVgjGBw2giuFDRtMNXI8+ZdnOSc78zj +d8NjGx96ui4iNgL1wKgi4lQp4mGIFXnE0hSx7pqIBCwBn8bbQfgHgIvQc6Fn +I3tzOWJhNeJW6EPw+qFPQJegd0O3AfuQH5tFTA/b+B16F/QC8BWNEVvwfbkl +YrAp4k/0z6Jf4e0Y9j8EOrHVg84c9JehsxP8TDI+g7fT4OOB7xoizmGjHfnj +QDexXwd/Nr4mA6vAq9i/DfsHkF+jfHl7G/xQMr6Wt3fAX8f/emJ7Angf3V3Y ++xnei+j3ob8XmVXQq4Ej8PdDrwzb7Ac/nGyroxKRkVsF2AY+CZkxyM8B5oP/ +h8wQvvZjc1vZOX6P7o3In782YgP+34A/CvkR8usBfiGWe3LX/g70n0F+eu7c +CmAmtpYDs8Dvo34PwGuuRXyE7ALoxdCHM/dGOSiXRvy1VxxjGfxXZHrx9QHw +R+4eqVc/Id+reiLzI/E9xVtP4ZgU23n4Nfg5/M6Ka67a9wGLVC/k25HvSu7d +Yt66k9/E69K8ZJ4BzcJc+jkMfScwD/kR+H8juxf+FvhtvE2BtxR6Ztk5LyKW +r5NtDWLzX/hfQm8tWf4L8AmFczlHDpOItQedF9DdDOzB1jrou9QPYDX0a4V7 +pRheBV8JvxXeFd6mFp45zd5ZINW8Q9olybShX4fPDXW2uQb6EeBu8MeZ0d+I +7zP4m0vu0Qj4JWIaaPJOaDc6cu+CZryMv+PoTwP/Af3m3DEqVtlcD/1e5tnR +DGuWO4BHwbuxfzBzjspVNdyB/IPaZ+0GsAzex5l3Xzu4KXnmNfu6EbuRvZ63 +0w2umWr3TbLtk/j4H91W4H5qdQQbJ+C/hX572TO+J/eMalZbgBnQWe5cdFNG +wxvA3vMl1+QitsZTg7qSZ3QCeC/5PNnondsJvh2Z2+sd0xh0h5H5Fvxz3obA +Z1Xta6rmA7y78Cwpxi7NE/5fKjtGxXqZt68avQPahX25balGBf0dW/Muycc4 +8CH8n2pyz9Q79VS91VtDzTuv3dcNmVg4BsWimO/F9sLctdcMa5YHqr6l6vEn +6jU6/5R8Q3VLLxWurWL8q3DNVXvtWAf534TP+mbfmOHCN0C3QDn2V70z2gXt +xMnkHdGu6Ca/nHzjdet103XbdWN0a1qBZ3VvC++6buy4wjugXVCMt4A/lyyr +mdfsaye0G4ppK/beLHxbdUN0SwaT41HPPwXf3uLd1x90IfON0K3QDHei25d8 +e3UjdSt1Y3VrdXPehXc0823SjOzQfCT/BZqhV8CvAtnH5Y4= + "]]}]}, + {RGBColor[0.4261152375, 0.45590017000000005`, 0.470918195], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNWGtwVdUVPrk33HNz7z5nn3OTUmmnOFr7o9OxkNqHtFg7U0EDilYhoQ/b +Eh72kQexrZShdfpQbDUC4ZGQB0l81OlYRYu8BBVaHr9KE1qIPOqEojMpU3mo +EGG00O/jWzP648xad5991l577fV9a+17VX3znU2ZIAj2lQVBFnJzeRDcPSYI +9mJwqwuCyXgOQv9kKQiewYS1Pgi6IKNiEBzD+O6KINiFZxX0dRhzNn4N5q/H +vGVJEIzmguBIIQhW4/fVGG+F/ATGl2D8o3yHdRvCIBjGnBfw7kfQX4P+HPRe +2IvxvAGb72DuYYwvx/gFjGWKWncbfLwBz5GM1qjA+NGM5oXQh6APwscd0FdA +vyPGnuhrpXzfaXZehjyMpwYxyENOLcoG5/LbBdBfKWoe7QxUSOf8bsicrXUC +vvwRT2NGdunnSsgRfF+J8Rj6uZJsjUL2FLUefR6GfB7PWIvNWIsPbdRWyM4T +URCcgmzHWSTQPZ7xsNuFOXchPm14dxy/p+NpgH5dTn7w2yedvuH84xifjacP +fk3Dt74o/RjG6nI65xLmppF8qinq3Dn+GL4vYrwE2Ya5tXh6s/re23lthS/7 +4PPyjOLHM2AMGa9byjVeBfkR2DhRJjkWz48xfhLzr4TuLSYl82FmQXt8Cnaq +nL7h/KRSZ9eBs60u6J3LKN60c5FnVS4fl2F8S0HrU6etFN+egN4HmZhO21Xm +G21Umj8h1hrgeUM+MUb6/bDxTknybcjrkd8XMDebKsbzCrI5H2d5BnIB5PJE ++lORfr8F/R7Il7HOfDyH4PNuyJ84xX0QdmbZ3ndhbKFTrr8IORfPAczfDjkP +zxD0uYHyZF6guPHbHYjBxIJ8+0Ggd6fNL6799ofGz2ZkYy/sLXaKURe+PYV4 +/BDjE0LpJ/E0432TUx4Tv8Qu99bA83HCxl+JCSdMrol1Hp2p/Jpp+6If58xn +xmTUfBtfUgynefl33mLF512L511mh/nfjXUyiGse8rGcMMD834bzurdcWDyI +d/+GL5NyksdMZ66eN4wXsK7D2HQvDIZOOOS8YcMp49JnOcPc77X85zvmLHPm +APQ10N8s01muM55kXPrxLMvKLjFM/1+HPFcUP328Uv58rFIxoD9ci/udXlTc +xhoWiKdiRrg/jJgcxfdH8LyO3+uxl0bM/xZiX1chnTEh55PviaM9FeJ0xmu0 +KBzSf/p1yviF+JhmXMH3qeGL3H9zURwcG1+QKxiDUbPDecehn0aO3IPvvuaE +xV34/Q2s2ZlVPq63XCB//N045OeYu8hp/YX4ZmtWeVxdqbN8rSQMHKxQjfkZ +xn7q5Ms3secGyGcxpxnfNhUUW9oeMPv3Ym6L0z4Y+50Wf8Zit9U4fkud5zgl +L/wzn37v5f/vIKcUVdvIBau8uHQl5IMlvVsK2ebFmSu8/L3sN+xvRxxmh8qH +DVlh8DIWsuLP/5TJZ+rMT/L407DDIk7Mv4rn0awkf7Mmzs/qe35btN/UWbsG +zA73tMf29Qh8uhM2H4acXC7MEC+bs8IaMdeaU24xr3j+PFOeLTFU44SNM9jH +pQqdNd9Rj42TL5o+zalWNRhG9li8mY9N7DMy4sHDjD/rDnyqx/sIMSwaNolR +zmvMan85J8k9DtgZc4/fIx6z4lna+HNWfMf3+yy2gzafOnORZzqMOZuy4iLy +zJas+Ic8xFxnrIjlW51qP+t+ldUl1iDWHJ41Y0UsMm60fRvm/Mvp7N6AfMgp +51hvH3DCDffN/dOHjVlxI3FB/JIvyBXM6zrTybvfzWmPxOds44qlXvG7FKkX +o8/0nbWS9YA1jtitMPx2Yv1LTrGkvGj6VSXZXO21BuPJfCDOmefkPfZod4fq +nX7rlY/vR+qnQuupOmDrfac+7r+QD1sOHUo/qKWtGHvEiQtZx9h/EguPJtLZ +k3bA/rPQc7HqDffPM1qRiEPYh5IjU+PJEfg4x/KAdYc1lTWx2ytuXZBrsOZq +J26bAznqlB/nIdudeLAM++lyqgfsVfkt1yYXkBPYsxEH7FuIBeYZ8405sx1r +LMb8bZCDiNNA+AHW2f+y5pLXttj8f+D9/lDn34/vKstli7mwwWJSnooPQ8Sh +paDazN/ECXP9cS+/GFv61u8Vhz6vWFCnj8ypOuszRy3nmG8HYO+foXDwruGB +cT6EsVdD+VofiheY5/Wp+HFuKt4fsXWJUe6dHDQSSb7oVRt78uIf+rjE+t7J +VqvJFb2RcLA0Ef42W+4NYd2DoX6zZ15gfXMcy+Y2+NARiQt/lYhX7s/JlxnE +nFMfyF6GWGQ/swNjC5zwujISNy+xvDttnEyuImfRZ/bB060+7h+j3oY2H8S3 +N2LOfV69CXOtzWzR5iq8nxGrH56Zql/psl6fmCF2/kasYX/X5hWHGanq/BdT +jX02rzixDvwpJ/+vtTHO5/rkcP4+6zXnBqz5FdgvQK9h/L1wTXzPStWj3445 +d6Syf3sqGzflleOdsfbSg/GrE+Hoykh8W2O9/XPGtcyT541reV7MXfINc5t8 +02N3H54Nz2htJL5kPjGXajFeDb0uEd9zLWKZfD5iWP5DpHNpxZw1qXqaFfDx +vUTYuQnvd3id+07IL+N3DvoUrxgct3vQnFR7/H6qXtdZH9UUCocbrS4Ts2ct +rxmPy7kdCs98/6lI9+h22LmQaP7XI3EfuZH7/U0i/deJ8ER8jVrvt8vqJvsA +9gNDhkXuhbj/X6L5UyLl7NN27sQfeynWF/bWzMN2ckIorG6xOk68EMcPJapx +7F8uJRqfCpsLQ+GKc8clyvMrEmFrkuFrob0nFlvMNnmLcWf8x3nFZINxVXUs +7vo8/JqI8cq8OIrfkUNoZ10iu72QZanGb4Y/X0o1/zrY6Eu0Xj9kN55m6D2Q +nYnOqYs5kOg/hXZ7f8C4q/lDHPa5WHeDE/CzI5GvayGvicSzcUn2NlrtZ8/I +nobnQl6hTuwzN7kfxp8cQu7l/WhSpP8+PgObbYnuRSutLp2xOv7LROf7C8hZ +XvxV68UF5ITb4OP1kf77+HQiXN1i3ML8PWb3dNbAU3Zf6/HCxjqv82+zu/kE +85MxZy9G/8kPlG+ZPi6V7mPhmVhzJZ0Zz25iLPxSJ4aX21kTc3/xynnmPteZ +YDHhObxg9W1qLO6aYfaqzA5rVL/1ZOxR2KvsM7wuNq7OW+9w1O5WrCvEHTFP +7D8Z6T8RxuHxSPeKrXbP532hxe4Mo9b70A5re73Vd/Zs1dYL0XfO5zkyVhcN +j+O9eI/8xx41sh6PMWR+vGn/FZy0fvjb0DfieQZrLirID/ZbPE/uhbi+wqtX +fCCS3Gs22Se22p2IcWXd4ruJZueC5QLrDfOhxcbpM/mD/tBn9vbNdt8pGM+x +T3PGo+wPu1PZuTVWrOdbLx3bHY7z+0vC/uZI99Zl5j/39x3bY2L3QtrcVFA8 +ne0nMi5dZOP0M2f5y/75Jdj4qlON59yizf9CqtwgLrm/RfYt7xrDdmcf9IrV +fq/7BXnZmw9dNp974x5rjds3mW/VpnPOK/j2Rqe6swfyPqc7/ZAXjrpS5QfP +gPWr0fqGyzWioDgzB97zunO95PWe63EO6yXzZ22s82y0Ow774m77/7Da9sg1 +nPXjjM//AR4LFrU= + "]], PolygonBox[CompressedData[" +1:eJw1l2lslUUUhqe3cEu5c+/33VtFkECi/nCLRq2Auyayo4IaFlekIiZSivsS +l0RFNIACxdKNpe4bqD+MYhGKe1yIoAItajBqIi6ACiKI2/PmrT/e3Pd8c2bm +zJlzzpx7WM3Mi+oyIYT3QQ+Qy4ewPoYwJhdCid+6JITqbAiPgZMKIbzJtylg +fWUIq3qHMAz9zypC+Bz8k4ZQKIXQhm6N5jD3THSrwaLyELay0eOJx36DL4Nf +zdgqsAn5c9Y8mPmbKi3Xs3Y1a+6Bf8L6++G3ofsxGI19KRjEt70Z2/A3/CTG +VoPNrPFwuW2SbTNBK3wpe05m/1+Z0wyvQ/cDMJy1eoE/0dmA7gzQCB8A5pXb +Jtn2ceJ1tyD3Qb6BuR+CEcyN4Cz4yaAZnW3scTP8IzCKsQLYAp8ZvdcScCH8 +9eiza5+z4c+BZfBvM95De8l3jfhjMPb8Ad+Eff/Cp6LbHj2uMw9FZyNjn4K/ +GJ8IToTvKMMX3N/wvOduBqEYwhHI32ftkyWcrT/y1/AsOA3+J2t/B9Zh6++g +CZ0V2LaT/Z5g/Fj5H90vkI+Bv8Ie9fAZ6L6I7XvAGvhazYdfw1pvRPumE3vP +iY4pxdJrYBp8bfTZtzI+gP0WwjsIzoHwBzWmeMrYpqaCxzZgw+Hs/xdj14EM +Y/vBHfINWA4vgkfQeRH7dzH/Kew/BJu6Km3PMuRb0e2S/9FNwE3wTrAUngd9 +0OnCzt3sdwr86NR8M/OPgldgzyrWr+oVwhD8uw6b72G8jm870O8Htva2z07N +OzfWRPtCOXI4375i/DruZyHrTWCNjT1DGMkZL2DthPGR6D/P/IHdsfsWqMg5 +hhV7HdG+UwzqjnXX14OlqWNCsVEHmuFDwD5s34JcVnSsvhN9VsVshm+djN0A +lqM7Im9dfdOYcvHdaF8pJzOMX4Xconzi90jkbZynFv0G5RPyN9jeG5zeXWve +i74b1Zzp8C9AGzwL+ip/s65BqkW3grPhZ+CPW+AzlOugNWcfVBfs+xPYbzxz +r4/OOeVaJfgD/lh0bbsYu84v2LejwHjOcxbyCta/nPHjq5wzyp0X+LaH/X5m +zbdZex7yBuRz865NqhmqHWcWrKv72c34pQXnwkTu4wDrv4TckPOZ+qW2UbYq +Ryek1pFuLTqXoDsscS5+zR0NhQf2a4327QT0ZqeO3QvReRA+mPkHcZYqcCLz +25GX9PKe2ruGea+B7WWu4f/AB4Eca2T5/RI8GR1behgO8NsAdjB/L/gRPk85 +CN+Fzc/CB4OdrDcD/THwZ5RDmFqL/JXqOfKp2NcGf5QzTMo6BhQLr+Y9Ng08 +xVgjNnblXDNUO9YnzgvlqHK1H/KrnG06a/eFL04dW3oj9FYcyrcF8H3M78/9 +NeVdG7XGbMYexZbefCt2n2lW3mv1QT4K/UOrPLdDscJ+bzBnGnOvAd+juxh/ +XtHTNszH1vl6z3R32L8wsW+bo30pH5fzrb2nY/YB5r+eeK07kFfD78LmScxf +DbbDt6PzBPrDuLOaomO7NjoXFOP3onNFhWuQalF96lrxC2eYn7oGqxZL5z74 +OuZeG11bH8m4djZG10bVUPlcvj8EjIdHzr8p5zMfQP6BPe5kbBjfHig5VkZH +361iJsEHv2p/0Lfot+uC6L30hikWzouODcXE3pLfAt2R7qo9sS9UIzvUDxR9 +9hvx72T4WHA88nFgRMFv7dvRuaw3V3emu1PMD2d8dsm23sPenUXXCNUKrTEO ++WR88nvGb+QB+KK8ew296fejWw8mZv0G6i1sQb4y65qs2qxYP787NxTzJxSc +a+p5BhVts2wfyn5T4L+VbMsnqk/YelXRY4oJxYbeBL0Niqk3Fc+st6aHa35r +0bX+suia9H9N0a9k1aozonse2a9zTEh8l7oz3d2y1LVfNV61Xneku1JNKBT8 +1t0S3ZvozVtZcu3Rm6u3V2/fjdG9jd5A9UzqneSTVvioxLX8O76NhLekflvU +k6k3a0rdS8nn8n22yr5QjCvWlWPKNcXcOOxZkrpXU4+jXkdv9+3RvZ7e8LEF +12rViJS1NiauxcpB5eLjefcmK/FHI/JDiWujarZq94KkO1f1Zsveorl83lBw +jVWtvYhvc+Gzomugat/LYG50T6ReSDVwcfSbordkZ84+kC8UQ4sS9yJl2FTR +3ZOoR1CvoJy/O/VbuS96rt7MMcpB5k5lvYEl16qfGP8m55rVEv0GqPZrzSfz +7mXUkz3Mek/nXQvU4yxALud8+zPuSXoUnUPKJeVsP+Q50TVdtVx7jE68t2p0 +A3w5mJJ1j6hecU5i36iHUS/Tlro30B6npO7p1dtrTpvOUnJvpjPl4D8k/i+h +HlG94n+2Rsaa + "]]}]}, + {RGBColor[0.4799129124999999, 0.50704019, 0.5170638649999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmXtw1dURx3+EJDf33tx7f7/rSMSOjq1SsU8nsVXbEVFAwXaqthXGR0Ht +TKvYAYGEh4pKElBBgy+U8kp4VXn5pDqjFlHrCNgZS6dQJWjRTjsqtBXQmaoF ++/3w3Qz94+Ts3d+ePXv27PnunpMvXzvxxxNqkiT5vv70py8lyVD1J6j/ZyVJ +VtUnycBqkuyqTZLzG5JkouQuLEtOvy/OzBsW/KvEf7MuSU7SuBPUdojeoLHX +Su6XUv6+dDaLv0/8tjRJasSfqrkuFL9Rv1/RXBXJ5/W9Qe1nmqNG/Vi1IbXW +wXz7+yXJYfEOIaPxI4N+UDZMl/7zpGeG+t25JHlbbbZkuhosh871svNT0cdr +zoLay5Ivqm+QPXskn2NdsikR3Sz+mfq9C77GHVbbqLFjxN8o+krRH2iusuhe +2XecZAeXbPN7Wss5Fds6RP1bOeuZJtVF9b1h25Sc592k8e/kbPdnWktjzmOQ +r8+8loayx+2Oscj1hsz4Oo+H16b5hmhdU9WP05rHql0lmYvwlehdmmtxPkkW +qfXTmLPFP0vtZLVrMu/puMyyF4VvOwvyLXP0N29U8Os0z2bJNSfe21dEv6Q2 +XnKZWm9iWcYw70Mas0Dt39rHVH2VfZPMZM25rtZjsuAzdpjsO1/tevHnyoa7 +1Npl97el79hYyxv1jhvWmRf9+1rHMXExMuKkt9ZxO170wMw0sfy7guMLW94R +vVLjL6m1bvYXv9GPCx9u1fdB+n1preNpZMiMDR66PstM/6Ts76P6ZGIMND4m +nonrx6qeg5jizJ0uuklyB2tsC/66TDE3QHRL2fE8v8HrWq+5/iD+KvE3Z96j +J0RPL9jX+Plj6RwrHw6S/OjQg75xOfObxH+fM6D+FvVPqnWK/qZieXPOck0R +t7Ny/sZ+sC/sEbxixGRj0JztW9XnQ35tg78Rq4Xgt4lu4GyptYq+OegO0cvz +/obMyrzHoJNxt4bM37TGm0S3J+6nB82aro71PqK1zBC9TmtZnHqew+oXqE0S +far4D4uezHlSP0K+uiFn369PPc83JHOD6AvE/1Vq3S+Hfuy9OeZ9JrUPviX5 +pZllkrLtwoZZ+vlfyUxRP7zk+Zh3mOgrc/Y1fh4RMT+lxv2woGc2mMb322Vn +R4Njf576uWoXa+yazLGxITOOwifmVuj3VvXLZc8c8e4Ieb4znhhaXPb5nSq7 +VmXm/0b9ManjfnvVcl2hE+xhX9nT7sw6V2bGO3BvW8Xx3xWxujrznG+VHQuM +JVawC5u21NrmOWFbbWYM7K/+Xq35CuJG/Mtz9he+elS+axW9Qjbelpq/QLz9 +9ZZDphWcl+4pqXVcHnrWSm6a6NWxtyPCz/h4eNBJ5hi8QLIjK8aXURXvC/Lg +3PqS4+/R1LFFjI0Qb1PB+NKudn1qndep/1DtRdF71R+UrsGy7Rz5ZKbkblH7 +a955aad8sbbWe4Rf8Ak9WPejxDjYEHS36GVqdTljJ1jO2TylzvjO76X6vkSt +f854D39yjfNhTWA7uPhF4OS5suU68Q70s/z1gedHcDby6ZyiczfYzToK4u+W +3J6qdW4oG9OPYLvmej1vzCOPD623Xmw4UO89G5AYOwdF3h+YGusfL3stg0J+ +aJ354P/hsJkcTH847AdDwVIwEPynjqFW2VlvnDw9fHBK6MwdkyTPaz0HZHuL +1t6s9lGD7UCGHMEaJkXOmhJ5+7bw88khc3LkU3x1KOzZFXg5PnzI3naL/5Fs +OzHqJeqmeRXn1OEVY39T4D862Vf0H4wcSv4Fy/H3tDgX+JDYZh/+Ht/w1eHw +z/TUebo5aoMdkTfRR77Ab5wVZMjjxB+2YidzbYz9/XLF9R5136jYB/JaTewb +sdS/Yn9fnfnsoXdR2bVER8H+X1917qRu+iJyNHZ+XPFc1Fz4fG346vnUPrw0 +8xniPIMNn2dezxVl+3xBrIV9/jRie1TUA/iNfAmWPaJxM1PH32B6aswGxz3r +p7YB56lfidt6xUh2jHVSS5JryK/gzIOpc8cD4Lo2YVLetcidBdPg2yWZazNq +tCVxXskLnN1c5JFqxBkxtjXvPYdeF/vBtxkF53i+zw385jw+l/q8PVvy+d3D +eP1ekTfWkot78s6j5Dbim3jmjHco9n9YdFz21WHEKueMGGJfdkftSp1JTA2N +vaeO5ByQUwfFmSIOFmidRa33oorrY3RU5LcHAkvBVPIB2NZDrV12rlibef8H +RwyDG9vUbqxx3QqG3S65AVrjRP1+VXITKq7bjkudx+ZofItkdpRN31OyrcdG +DQYeEPNgUWveeYg9ok4n1jlTxBFnEAz5pN57fUpinMZvxCR5rDfqHmzFN4wl +bogf5MnV/6h3vp6QN78lztpLEWPUCy/XHh33Usg8GrmYnAzvleD3y1wXnUlN +kXfMvRq5lLywJXI58tNSr4WzQfwvj3zdl7cZw/qpHbointZFLbEm7nr4C199 +Ll21mveM1LzewFvqtBURW8R4b+DtpIhnfIV/wCV8tC517bRG/Qepz/Ghkvdk +V+ikDuyJs/FF6prwu+oPqdWL/o76J1LXhI+p/5S7peiW1He4S6KOpq47GJg5 +Rns3uuB9IIYPxVy/TV3LPq3+1yXXvZ2i21Pv/dfgR/1GHUeOACuISfoDQa+J +dW1IjSNHvvVz/1HQDzQmyf1q+4oRRw0+45+Id5/a3qLXw7qeSj03Nnw99X6z +78vUn5W6lupJA78kc1rqNbCWZ9X3CGOvkb631b+Z2c45Vd/xuIf8POJoZewd +Pl4ePuc3ewpupLKrqWhMmRnYwlrADGoW9rcca9oT55VzS8y0B1Zxjsixr8dZ +RgY+ayemlsbZZk7smRr3jhVBEwvY1hZ3gZ6gc0F3BA2eUoc1FXwuzkscL92B +uXzvDhny/LawYUDIg9v0U2Istd4vis49rJ11skb8gW/BWHATX+CHvm/wZ1cd +Bx+UvK+VRvsLP6WhB7oc/EeqnmuUcGtgyfgxV9g2oOT6aFbqOwZ3jXfLzi8v +Fnzn5X68uWAe9zf2bWPq7/DBYrAOv7Au1siaX41cx5ngLs/6yVnopG+N/HW3 +7Loxb/yB1xa42RYy6JxftN/QeW/R3+CfEbixMPW5ZT8WpT7PxNyS1Lonhv4x +ge3YQn9j6Jwdd7BFWt+pysXtmuO1qtfUGnm3JXDgodRjWSN6ZsReE5N9cUDO +JRcTe5ztr6TG6oVl16iP17v2/U/F9Ejxv1Syn+6vGNORpw4/Id7QHoz3s51x +n59dMhZSE22r9zsVNSd14tDQf1nF8bK64r16MfbxybLrGO73x2fWmYq3omz/ +/qVqrAVzqZ96yt6DneJ/L+zEXt588MnkqCWo26kn2JP+wW8Lelbk8a1hJ/22 +oO8v+y76cGafMR6/8X6HzpGa657Mbzpd6ovid0qusWrcJe9j0+pY7zMlx15d +5NbJOdcT5PetFdcD1AWcH87R6IrlyMXkypqQp/bgzQesB+fna86uvOXw99A+ +n8c54jyBqfNDhnhYEjHAb8ZS11Fv4Dv80z9kZgW9KPjYsDje01hrR97xQB5u +j7MDrz34l+msf9zoXMg82IBN89TfnfdbDFgOvT/uRl0h0y/mxT+8iaG3GDKM +p/4n9/GeRf67XfP8qdH1HTUQtdCyzLqZg7m2R20yNuzZHzUtZ7Qu9hcbP4k7 +Gve/NyLmzw6MAqsGV/0uc5r6IWXXbwfjfrM99E8PnZy75rLrMWo33po5M/+q +2LZ5YQdr4F2OOgzMxiZwe1bB8vD3VSyzt+K3lvcK3iPO/oTAk6ni7ynYb9Sm +3M25F9BvCroj6L58RY1NzrpC/nuq0e+s29Xf1mjcAUtm/J8sNNhCDTM96E1x +30E/WNAROhnDPNT38DpD5t24O3OHfqHofEmuZP4nw4bX1N8U+ZhalJxELuau +1hk1/Naq6S3q/1j1vfqnZWN+U9xJFhYdF8iDMZ1xL6MmuSV0kpOg+/L7zHij +uCvw6Uhsh89Y10lV782HFcf46Ijzp9Wf1+iYIGbnxlvuiZK/Q/QPKtY5N/LU +5njvhW6P+bZEXroz8h35dm/UH+w/8xIP4AT3H/CF/E6thg/BntGFozllTNSB +1F/IUQPwfUzIsL/NhaM1Xku8CTAGOXCM/H1u+OqrVb8JDEq9xjvCfmquF2If +2+NdiH3/s+TvEX9Z2Tmzq+hc2Z263uH/JHXxtkk8k0vvKzrnEn8LY+94H+Ge +9pzkLy/7LsydmPetthi7KvUZWFNyLmVe8infpwbecm6m5Y7iW1vw36x63pXS +vTR1zcXb2I6qbe4uu67ZF3vBmym12OOp8wDvROQczl9r6ATHJse9sTVo+OAT +dUZL5IIpITM83kZGVFw/ci64kxPTxDbv7v8DyZpzrQ== + "]], PolygonBox[CompressedData[" +1:eJwtllls1FUUxi/MdKbtbP8ZIgoPLEYEolHBB1GEWKEoSkRQMEBkM5HNiAJl +U0AohURkB9lLoSy1FAFFjGDEQAwWfRADWBcIaDRh0QeQRDSAvy8fD2fmO/ec +e+65557l3370xIGvNw8hbIPiUNeIn2QIV1nsAi7OhnAG/heoKB9CDPoRnIa6 +IU8i/ynptTiyC7kQhhWFcAfGuiI7UQihMRHCAPjvwDvR+Ra8qDiEOvB6bCTY +O5lj1+ls9hyBHwlVwY9EZyK+9EJ/FLg1a9exXwbtQ7cDNs+VhjAV/W3IVmVC +GAo+DF2E36g7gKdgegN4fca2h0OV8Kvhh4GHQLPh10Jx8CT014A7Yv9X7M9g +bafuiw/n5K949h6EfxBffo7hOv70hV5NhVCOfDz6J9MhvANVsrYWGoD++Jh1 +dmL7KvQ5+Ar3a0J2LzbPlvoNngS3I55N2J9MDNqCO2Dzi5h9KEZ/LHxvcC9o +DLiGtf5sX4i9LeBa/FmO/YoS4sxZW+Ab415rgh+Mb7ugf7H/O+tXWDuUsk/y +rQzZbqgUHzohT3HGEd6zHtwPf56BUvAL8bkN+p2RX4FviQ/d8P9r1uZj6zT7 +h2Vta1DaZ8nmpchvtYw7XQA3Q39z3HsawWegUeAX2dOlBfvReUtvh/0G8LM5 +n13J/UrR/QZagP4k7r+Y+19EPhd5LT5dBn/Entnsn8/+feBN+PQe+gvw5RR4 +Kjo9E865KvzvC18C/wT63eE3YrMS2ydYW4d+Ap/GxByzJLge+cvoLkVnV95v +prfTG43jvPuga+y9B51HsXceG1XBNZZA/33kzcFvsrYa3IS8DLwE+6e4Wx/2 +VATn9C3kn0Jzk7ZxQPmfs6+HuXN79KvZv5i9bxCfOHw58iLO74rOY9h6CpoK +LsVGM84vQf+scpd4fAbeCH0Vt42TepusfZmMvSLVBjQc3ebQeXBa743sOWy2 +xfYBKIr5DWuQ7c5aVzWcJ149ss6r/fB/49tdkXuHaqoVeJrug79l0HTwbmyc +QjYCnSHsnRs51xTTeZFrWrU9AlrH2b0yrmXF9DqyH9i/LOWYKrZvqz8E5+ys +yDWr2u0DTQCvIO9KdAf+L6ccE8VmH/z9+L8VnSlJ9yD1ouq8c+ko/m1Qvued +C+p5DeCHWWsZd898RP1P/S7unrcJfn5k37+EbnLucs4p5j/H/yXO/4sYbEs4 +p9sV3JPVm/VmejvFXLH/A527sbWcteMJ9+AW8Leyzkf1lPY516RqUzVdirwz +Nn/D9jxs1MO/knfvVY6PBq/IOXdUEytzzjHlmnrAavh3c85t5dgi8NP4czTh +mlRtHue8cdjaw9o/yNdm7atqSrV1Gp2lKeeccq88496tGXEDfyL5m3AM/sy5 +5lX7yrlUwTWp2lSOtEF+KefaV09Vb+3PGd3jrvHnwb0znj3q+f9hfwl8ObIb +7H9c/mftq3JQuaiep96nO6Uj986haeeEemgdazOTjmEn/MllPRt0ZivO2x+5 +96hmP9H+jGfLdGgH/AcZz7IKqDby26+8nXvKAb2J3kY9cBf4AXLw47RrqCdn +vRY5d/XGemvl7jHkd6acw3si9071wL3g2rxnhWbCVvBx7nezyD2sMecZp1k3 +Cdqi+RJ59qtnbAZXR+4d6kmbwBXQ5SLn9BTwnLRnoGbfPGhm2r1c/UA+fQ8e +CPVLeUY+xH1OpK3bEbwSGxOSfhO9jb5J9G2itVXg7eoRSc9ozeodeX9baAZu +B6+BZhU755R7mvGa9fpG0LeCZqZmp3RWIJ8WuXZ1h+nqr+jkY57Zh+D3Zv3t +oRxsje2hWfciffN8WHDOKHcUwx7gwdDYmHvgIPCxgu+mGadZ91Lk3qeeMBg8 +I+dep5pV7arHqteqJmqyjtW1271AMdNM12xXT9uK/IWsv7XUkxuQLcl7FuoO +ByO/od5SPasu45xT7ilnGzLOOeWeYloPv6DgbxPdoargGaJZopmp2akepV6l +b6g57P0frG5dYA== + "]]}]}, + {RGBColor[0.539107115, 0.56238831, 0.5664840724999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmnu0VdV1xvd9nHvuuZdzzj77AgK+gAhVNFpe6YiVpI2jFo0PRIlGazQ+ +ADWtf9SOmNbKSzEqEEGtIKC8LpeXEdMYBEEREFCiAoqQSDRgFEGEACoQAvT7 +3W866Bhnj7X22nOtNdda8/HNuU6Xm+8a+G/VSZLcUJMk+iX/Xpsk1xWS5CaV +g0pJcpXK7eUk2aG2y0XwPdH0qEuSS2v9PlH1X+sZqPe/LSbJ4/q+UPRv671F +A8/Ws1R0mZ4m1W+udfmg6M7PJckXep+r991tNLaef9I87+jZqGeAaGo15lS1 +F/RsUNss0c7U01ZPOz1bRbMlTZLmfJK8q/KKGvenb0+Ve/TsVtuPxNNXKm9Q +eaH4vUXPEfU/vyFJ/l7PE/o2X9/uUPtzZY/dNvjcpTF26ukYa2gX7VeLt6Mq +t2ufXtLcD4qHRWq7S3S1Ne5/k97/3Kg+TaLRPDM0/p3q87nm+INoUvVdrbZV +en6lveiac310VZJ8SzRf6P3vVDZo/B/r+/WiX6px26vvR8xdSZKTVF9cNG/s +M3tyqsofq+9v1XasPkm+rbm3qv4d1hA0r2vcBzTXGyoX5s033y7Q+xrRjit6 +f+jbXfSX5f1OvY/GXhM8Ixuf6OlQ473iDNj/TDyvFc24kmnXBv099X7fKZqT +RN++4DV00xlfq3GXVXvO8+Ncrs3cfpL4OavOcsdc4zXuIo33M/F7iuqH1HaT +6q+I9lTR7df7GNV3a/zTVF+vc6jWmM0af436fa5vU1Wv07jTNHejnnczt0/R +eB1F37nGe71O9HvUPk30WzLXp5cs/8j+lzXeZ/a4A/uv8z6i/qepbNH8s/WU +Qu7SkL2d2p9l2tPPUuvTMo05A360hqWq51QeqPF69qnsovcXVD+ueW9sY51B +X8ap3Kvn40bL+HL0Cl3VuK+q3qB+f8m7flDte0Q7Vs+fRF9f67k+U/upFfPQ +UePny96nh7U3/1DreT8UzVkV7+0gtb+l9r056+MG1f+s+nqV7Rgjzpfz6hFn +9lLROrRcfI3J+xvneErBZ7Su2rKzK3TtLtHPlB5M135/GjqIXN1eNt1Qlauq +/Y12vu+KOv15n67v38/MW2/Rz8vMz79q7GvL5vMalVWSi6TBOjlf6/9S61iv +cq6ez1V/XWW/0Av0o2fO9GfnbKuQK2wTbVWh55ztUj2b1f6M9vtpPQ16rsCW +Fiyfa2J85unLeWu8Oey/vm/VU6dnldpHoD/a+63i+1L125xantrkbBeqCrat +B7Rff9L8wzhv0V2t9vmSy0ni4XWtfYjeq1TeXe3zxI5xvtS/Ut/zxN+5ejq3 +cduttaZBTpCREaIZXPCc+IiL6u0zWv1FwfP1U70kvm5BL6pc3hzjPKW5r5Pc +ddUah4jPwQ3mD9t5Xr15wJ88+f/0inK8+m4r2x8NCl2nPiGxvLUNGYbfW2Ku +Thq7o55PNdZFBc/7F9HcprYeop+oPWhW2+/1VOn9Xj3fDZ7PyflsD+j9EdGP +0bNEffvn7T8uVPulZZ9Bo86iQ4Pp2P/DFevzleLz/pztBza71YbV2L5h89oV +XKffhXF2o1LbkKd0zi2qvyL6v8ls5+5s9N6yT5wZe3Wq5jgsnk6vWMeYFxvS +P7NOvq/272icPfrWqeT19Ys1cnb/HOdHyTv+uzHnOme6sc46wh5fGHvBPpwi +u/aq+Dmkebpo3GPioavmylSOrLPP7Rm+9xnxc57o75VM/Ub0k9Q+Uc8xzlh9 +/lNzvlD2PnUOvwZmGFpnf/bLsjHCI0WfGz6aPneIl9uDJpe6Ple0K/X+mOhq +VL4p3oapPlJ955Q9ZovKF2t93uzDzlrT9NYcm3P+hgxhO7D3YJ4NgUnQccoN +YWfw/WCA1SrXa20Pa082ZF4PPC5Q+VHF/me5eHi62j6nj75dXLQvuFw0vfL2 +zVvDz05GBqpt35gLG9uUeY3zysZYnNWwstffL/q2ZJaPKzXn/Rqnf52xCGeO +DWC975WML0qpz4fzGq6yruJ921ayPcZ3YpM3acyHVN+i9jdqXV+p9jdVfzhn +HitN1qNnSx5rRNj2+ZrjXvExT+UovT8i+tdE/83M478v+u2aa5ueB/K2cfQd +WLT/BMOAZXrnvUes81DZZ/dGyTYKW4YuvKY5HhPNytQ2AxuC//yg7PofVD4b +GA+sh86yJ9iBM2o8z2HtYT+1X9Bgm7q2ZB+EL3pb9Z/o++80/h2pdfDikmWO +c+F8dtbZ7mBzmsPvj1afeep/DOya2lb11dOUszyDg5FvsDD1J1X/77DfgPIF +6nscLJ36DNj/zZqrVs9q9Xm6ZJ+B7+hTdj/sf5XKhanrz6lcXuOzaAX6DfZh ++DtsGHziS14Q3UjR/FrldD1HNW9L0d9YT2PwDf57vtY+Fd96cWZMRzt+f5Zo +e+Ej8WdFj8N4m0rmeWrJ8/cKHvrEntAXOwkW3FLt/WEvJ8b+nBM2eUy9ZQ8Z +3Bf7hI9gHc2xlraSyb2SoRuKxuLowRc6y09rreu/EP2HZWO4P5at8/gtfFUx +5zr6gswhe+gXmHBv4MKv6bDb+EPmxGburrVPxy70E+1zga3Bavgf7NKQess0 +Y1+nfemj+g9VfktlXz0Hqzxn76j3Dfmnjh1EXjaU/L1PtKO7i2P8e9ABtf9U +5ZV517EnvWJ8bM3e2D9sC3pQjPVOF2/7RbOpzjrZHDKMTqAbYNfqguvoyCzR +dMnZpoCbwc/vSR7qMtuLmSXb8wuiL9iZ9mlh39ZFnXPmvLGbo/PGBOg1c9CX ++ObNnH0S/mhznXmsClmEB+zq8Tr7FuIs2roGb8hGS6zl61iLftif0TFXz/D7 +6GCXNpZDfDQyx5jEs98reuzuRetrj6AnvlsSmLAlZD5fsb+DJ7Aj9uHT8F9g +Q3AW8QJ9zolxtmmMz0UzNrF+oEuscUWNdbNa5UMF0zAH9oZx8cstodeMsyT1 +usZVPM+5MdeCeo+JbvKdMx4dfp86OsLazwscuDLiJfzWfRp/NzEd2L7odeDD +t8R+4bvp1yX2bYVoTpcOXJd5LZwX+t4z9Z70Sk3bOfoiO6tjLnzjZ3WWHda6 +O/aEtf+84Hcw1Lkx17nBM3VwX6fAKs3hWxpjfvioCj9EnoIzRW/IMaA72Nod +tbYPXbS2o5yTZPjeyB38V8RnbwbmrCm4HdkmPscWrNV6J2vtDVr7ZarfUzb2 ++mnZvg6ZQ97Aq5sDK+PHtkX7pEbHo2Dt08um6Vz2nO1iXuI5cDAxHX66LvxX +26DBlr4buZH3VF6ed64DfAHm+TRs1PPis73muypzfNKmjeOE6wuOEckH7Qh6 +9gT7xvujqq+oeN5zMucLkPHHUttasAey9ANkQPXry6Y9I/gkL/Jao9+xPx0C +P4MpwZYl2e+TIw46gq0W33NzPtONkSciRgVTfVywzIwJzA8NJWNODNvSMeqt ++LbO+Glwyfh3SMVjkMcA792ees/Ze9ZxUawFOeKMqKM720O2tonn2eJ5e2bc +SEyKTWO8HTEmeIh3+F0ZPNM+pY3zXMgfGH5H5FIGlx0jDykbj8M3PHMOO8OH +fT91bHZJap1AN7AJ6Abv6Clnztk/EXr0UOgONgBbgC7MabDtIDYakLfPwF+Q +D8J34T8fqHf78mrHr7tDBninD7Z3WY3nhYfJ0c44B/OWU2wXNhJbeiD8OX4d +e8XZtsZXer8ib56fCr//ZeQJ7wzcBf7CfncJG8536MBn9Lvs6741xkHEiTvC +NyPz0B4IeviEvnvQoP+sq2/gnKbQN/RqStiM9ZHffD/i8XdS25O3ak/kQ6D5 +UeJYBx+Abnw3YjFisjl500FzRpNlmbwL/d6O9seLzh/cF/ZyUsRNfSPmRcfh +CR5ZB303Bm/kgdrnIzdVZz5mBwYFi84lt5Oa5pqi8fnE4JO8w7HASIzDGOwl +GJT9mS/6rRXPdYlk/geZsdE1mW0ctq6/dGtS0fEsce3ciCHRzeP1zpftSHw+ +K+KMWCfrfUL9nsgbz7eEPq2KeAx7BubAp08IGs6R85wQ9SuLjkX7abyPG+w3 +mQNfjYy3+vecxyE+nVDv+ZgLPLsxzg+5bY0nE+ck4bl7+G7yO6SNjsV+oWus +e1HE2PnI37CH2LN3IjeKrX8xYvAhqetDVR4WzyOxEal1fEfI6sbIR5GXYs6X +Y96Pgg/qTannJSfK/tGOrycvtTHsJPEScdOTFa+TvUIeRsUa0c1ik3kkx4Y8 +j8tbDsG2jYFvyRkTx40KXuH5UNF5hxE1tn/4MmwGdpIxfpE/oQv0Y154IydL +f+qUxNefNBjLwtP46Ev7Cs31KDm1omNEcojYSfKJ5PtWl62H6CN5suFx5shX +GjgCHw32fThv2/Zy6vqy1HPAK/rLnI8GzyODD77j68G+yPHiUuAGlbtCbtFX +9BCbhD0EXyO3jPlB6ljgErBhZt/318x3EuRtTy7Z1kJTG34SGuLSz8N2EYue +njn3MVv9DmfGXv8TMSIxHrYLWUPmOHdyHtCTJ4Bv+MfPgt+psyfET/uib2eN +OU3f9pSN3U6K/PzYinHiuszYmzhhU8TY+yL+qooc45rM2Iw8FzqO3rSLOvnR +aZEjnSG6AWo/FPcY7SMnxn0EsRP7sa9k27FfZX3BetU7YpCqWAtnNSfOC7xw +cuheOfV9SjFsHvk09PGY9mu86venPutxcb7Ye2IDzu+OiEfwO9hsZHtG+Fbw +C1j08mjDjzPGa3HWtE2P9kOh14Um48SawolzqIn9xw5h11plt9q8ob+bUts5 +cjbDUrfDO7EnaycmIodKLhU8/0BqP5+UnKfAFq5KjQ/ACWepfQHyA94r2Q6T +08Wmge3BkYcDM5wfWBGapGA68GwS50h5PGz4lPD3jMPZ5MPugZ13NNh+YmfQ +bfSaeAU8hy/gPqFQ63w4dw/cQczPjJU+Drx0KO87DDDEM4H50K9vpB7rDJWF +sn3VjSq7ZcYiM1LzPSV4I/eOvKFHxOJH8sb8lH/Nm09ytR85RdLK65Foh4eD +USfneijqB6MOb6z1cLRjf/A92CD2dljsL2MejDgOOaUd3wF+JB/9s4jRmiMv +zXlwj4e8kTOrC7wPLidOwCZ/0misDmY/M7MdmKO1L5BejddYz6ocE3eNaeSg +mgLP5Cq2Y/X6/suKfeH7mXNQ3CWQT/og7MzhyDmB+cDb5KbRqWaNOTzWeHLk +fYfHWX077vGQ64aILQbH2a6McbijIp5pLFvGsaXIP3JUH/iftdLvpsjX/m+j +Za17xOOflf2d8VvzMXFHQp6efM2WOFf8/jMhP4zRPsbpFnErdLNSy0+3yGGs +DOyBLekaNoL7JXAJeo6/5+6DOIb7DOqc49iS7zsfrzh/zx0JtNhQbGn/wF3Y +DXwi/QZF3+Flxx33lZ0vY9/J+XWqOD+zsGQffiBi2IYm+9P6Jq+P/UdP1pRt +uw4WLVdD4s6FvO+IyP3yPjjio8ERB1DHbh8PzAPOmhAYiTvJ/WH358Q9DvYH +G08fzo6cKPkt/A5ycV/I+RcV38dMyuw/WAs5AWKKK0I38Qfo6azM/hX5RE6x +E9Aw9/7og89Cd4+G3h0LXUa/Odv68BdvaKwHwBslxyic77jwF/mQMXJj0IAR +sPPwjP7NiNw3Oa3JJcdCT1eclwJXYIebK85Lzq44bzE0MMeIkvN9Iyo+G86o +W5P9+eWx3uaSMSeYelrJ+Zac5pqh94fUd2bFse0jEdP+Xt8maJzfZb4nJh9x +acQUtBNX8N8B9GRnjMWYz2js54q2IcTu9RXHhN3Ud0nRPpj/FMzMvNdni75R +4/VvtB19NfDU+Ij18KnsITbgeMQL2CBsE3E1digJXDG04numWyuWm/3RfiTw +J3b4tohDwecrApMSF9SFT2cu8lstIW/EkuTd0H/ytcXI364t22cTb2GXD8U4 +3GOTc+HeoGfkLvG5UzOvsarkOQ8Gfce4+2PP+W8B4/yjxryt4lic/7xw7z4p +8iT834RxGfOU4Bm5Whr3y2CeDRHLcH+EfoOrwclNEctOjrgb/EzOGfx1WqP9 +LDKCfUYHF2Xe66MV53LH1p+4k1kXuJO4b0nsT9vA5Q+qPqdi+paK47ov40y5 +v8JOLYqc7MrAMNiIDmFPnk/t236Vel0vRc4TO7487CrngC0Em71S9P0X92Do +5ZHQzbPj/LBfX0V8yZ7jr1gPsXRX8G/sITHHo/Vu5w5kTdhlvp8SNOjKnlg/ +eZq7Iwbhngnf+cPMtPSBp8cjriYfeVXwAQ/4Mujws1XBG/szv2Ie5lX8fxTu +Kj7UmM+XjIk7xd3TgaDH7naMmIgcGHaTbwPBx1rbwqJ1DF07s+I7Amwj+4Pd +goZ1kX/AV6ODtHWN9oEl3/ly58z/kppCZnbHnrDGD1Pj6T+mbhvecAJ3DA9M +gh4gt/iNM8PO9ij53o47o7My5yTwU2BsdPrVWCPxyW8DN6KXc0I3X44YfnXq +/C4xKf63f/zvhLUsi/hrVMX6sTRkabref659nlaxPFPnTKdyr6n6U+LtxdR3 +nIvT+A9R4NK7U+eP/iN1/mlyyOQgraGD5r46M3ZtDJuGv70jcNfusnV0V9l3 +99BzL03ea8DXua/MfadofS9mtnOD4/8M+FfWjk6im4sz/18Hu/MT8FhqXPVs +5GNZC9iInHTPuC9bVnS8uSO1X50T/vil2J/W/5bkbN+IM24Nuzq4Yh15K87p +N6kx96LU9qMhbMi/xD3TDSoncq46m2/KH92o+jdEs6p4AseAAVgTdfYHvYEG +uRoQ/hpZmVByHoN8Bnl4cAAYAAy7IPr+H5S9khg= + "]], PolygonBox[CompressedData[" +1:eJwtl3lwVeUZxk9yk9wkN+eec28qCjWEzdYwWDtt1XamWEqnNihig6AQUGoX +QLDtH3bBlhYJSwsSrIi1omyBmATC5lJAQYJCAnSwQItBKYQ4iIPKUpeKYLS/ +Z5788c083/eu5/ve7fT98S9H/iI3CIJLrDxWUyYIXgX8pTAI1oIvKw2C86kg +GJAIgqpsEPTm7EIyCD5hlaWD4K44CK4Hf5wTBP2jINgWIsv+YdZOaGvZf46B +Hcg3aI+O7flBMBwbI5Hfh8ycgiCYBf1G8Dp4/oBswL4J/Dj2psO/Bf5F8Fel +LTsQmTXo6gf9M/gvwl8ObRcy9yH+KGe7wSug/5lvmY+O16Efw8bjyD7H6gI3 +QK+Ffg76augB6zF0zeZsKbSD7Jvw/yNsHgIv5+wfeda5Etyb+7nE/ZQhcwl/ +lqQtOwL792O/lu9vQb4VmcPQliEzp9Bnol3Luie/Wwe6+kD/NOlv6gv/VnTM +Bueh/1vggZwVoasM/yvg3Yl8b2QvLwqCk+xnw/MIvP9B/xPQOvBpDPqPsD8O +7oN8V9I2ZKuds3nQ96GzDloF++nQWtBxNXgs+r7B/uusMeB+kd9aZ9Wx71B3 ++TdWB/gUOsvwpR8+vYL98oxj5e1ifEffHtY92JoEz17wLnj6pywj2RZ9T8Jn +E6CvZK3C3g+h12WtU7ovY43M+s30do9wp83Ij2f/U/Q/z1lf/Kni7Fpof8KH +F/F3BGcxvv6EdSt4EDoKsLcA/mvATej/jLvaztlq+NdknAsPQX8j7RjX93/A +/jrwSs7OgufBUwfvPOQrsdXE2X+h3YrO4pTfSG+1lf04vuV+fNwCXgjPHnxp +Y2Ww9zXW5+CphOJQ+CN4GuBPc1YC7SH4n8mzTFb8+LAEf0dicxr73tAvJp2j +ytVenLXDm4M/zWl/g75FObcX2dVZ361iahX4IjKj2U/F31HwvgNPHbwreL8+ +0M9Gxjmsnux7oP8Q9P3oHAL/Cc7qkX2a1QluVbzxLWfQ3wZ+W/GJbzXc7yd8 +XydnjyJ7Cn1fYf8M9Aeh50BfD/5t7G+rYv0G/Bo6z8Dfhr4VkuWsLdd3thjc +B//a8x0DioWFfM9cZOfiQ23GOaJcKce/l7F3J/p6gntgrxPaA8hvRvY7rGng +rfBcnnAOjYE3jY25vP8u7EXgFmRWFvqON2Hvzay//QHsXY1srJqD/Pv40Ave +VnT2ZD+T1QaeyNkPkF8M/8/AA9B5Gl2/Y1+BfCE8O7Bdztkd7O+LHdtD8G8q +eDUy+/NcwxrBjbFzVzW3Gf6NaduWj/L1Kuhn0NXJfX8JXwtVYxJ+gwLom6HP +gj+Xs2fBX6YmlZQEQRJdXwVvwJ8pBa6J68HfhecCvDuRHwo+D+9Z1knu4FTK +NVC18DbWr8BDoX2TdRNv8H1WPnqXsy9mTWTfS/mUcI8ow5/XkKlP+s4Pg1el +XauUc0cUC8gtZL2FrWrkz3L2LHgG9P3wJtHRletvLgT/Hp+/V+AcVa7WlliH +ZOVzZehYUc4p94pKHasHoBWDB0J/t8A1ZBi4AhuF+FMJfaniA56d4NuQCUud +E8qNbbpfbN/OfkrKOaZc+xSZ3Sn32B+F7iHqJTrrAv88dK+rYE1U7eIOWgtc +A1QLctK2nWKNyLpGq1ZP4r1nQluDzL3wT+G9y6GPDt07FFOKLdVA1ULdyXTw +F5H5H/ZvR39n5BhWLMvn5qx7unq7cnh76BqhWjGfdSDrGUGzgmrqBuiDuIMb +ShxjW+FtQOfkAt+h7rKYs46kY74/ulOxa516RDF4RuTcuImzB8HHkGlMesZ4 +Gfrk2LOBcv7e2DVUtXQa31+L7jB2rurOFqi3I9+e6x45Q/NBiWNQsZcC380q +CI2f4JuWdcd+SXeMTor8FguwPxY8LnJufoC+6sg1SrVKPf5J7C0J3Ys1U8yB +tk41OOUaqVr5ZuS7Vg5dCa0dnuEJx/wR8BWquUU+Oxq6hquWS0eGu+3i7CW9 +he4Q/rvYn0u5pt2BbFvWvVb+K5cnZdx7VHMmg1ORc1c9Q73jldiz02Osl9B1 +gv1GcCn2t4H/GPktKlkPh17CmlG2xH7rp1hF3W+umU6znWr04Mg9Q71DNfGM +5gXNJAn7/IVSzziadTag7zh4HOu6pGfM8eCZGcf2YHjyNJtE7sXqyZpNbmB9 +yP4037iN77k5tK7BqglZv5nebiY+7wIvxc8EPImEfV6X8SyhGViz8FWlzv16 +/B8AHgTvyWLPqM3Yv4b9W8XuWZtUq2LPupoh1kC7GZuH0HUen25Rb4ici8qB +RnBz5Fqvmroucs9T75uBvo3gwaws+D3Ovh27R6pXqkb/nf2wrHUfVA0C18We +XVTzGuHdm3bv1Qy1BzwBGy35zvG7wee6Y16xrhqqO9Xdqmbkx57ZNLtpZuyr +/hB6llJPfQF6DTrnpPxGeqvhsWudauItsWNGsTNf8QQ+kPYsrRn9n+BVGc9O +mqk1Wx/MupaoB5fCvzztXq8Z9TC0YWn3Ps10DewXZ5zrp9H3KrSPQ/dW9ZA9 +fN+JyLPpR+zHgyvT7u36p7jA/ig6FhX6jeqhtcaOfZ2tz/gfRP8imonXgt+N +PJtpJnoP/OvYvU0zmGaxDbHfTjGiWJFP8q0n/GMix6RiUzPRqNAxqdhUjnUg +ewybQZFnxic1n7B6JP1mRaoVmrlS7nHqdU/Dv6DQM4BmgZrQvU85cH3k2J5Q +4l6rGJ8cuTdpBnlRvSx27VBNfEezVujcqGHthrcDnYVFtrkJ2lOhe418lK/z +Q+eGet6V5Ec/vq865f7+Ycb/ZPo309kS/P1r6H8R5bxy/znFUNI5pFxSjCvW +VfNU+0pLPUdoZt7M/mjGsb6Iszey/qfTv53uoD7jGqxarH+84+Aazm5MOEb3 +ZT3TaLaRzefBd0Z+G82wmmVfz1q3eox6jWJGsaM3GAJ9bNb/CvpH2QF9Vsax +LRuytSztfz3NqP+GtzrrWVMz5Auax0L/u+hOdbfvp/2voB6oXjgK/iugz+bs +X2nPpJpNdTY66zfR26gmVKHr/xRMMu8= + "]], + PolygonBox[{{4761, 2374, 3128, 3279, 4760}, {4790, 3196, + 3312, 3046, 4883}}]}]}, + {RGBColor[0.609232745, 0.62626053, 0.6225373175], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNm3eYldW1xs85AwxnhlPmG9MsdKQJaIyVxO5Vk5gIWCNGY6Lo1WhiyUXN +teeqUTQq9gIYRSmCICBYkosioMaWgi0gFtAYa5qNxPv+5n15cv/Yz96zz9rr +22Xttd611p5+R5889qRKqVT6qFup1KL6xaJU+qRnqfRSR6m0Xn0vdC+VJqhe +pr5HVDbtUSqNapRKU8ql0km1Umm5+h5V2Uz9E0W7uerr9NtuddFp3OebpdLw +Hv79F+rfWR/rq3ZZ7YM1/jN9s6f4XaC+C1Xe0d9vqQxR2V5lD03qJvH9odpr +NLfb20ull1WPU/8Jot9c9dH8rnYftXcU3VCVYfDQ3yepf3d98w7N52qNfUlj +dwh/6A7QbxdqLgNUZqj0Fv1dqvt16sdepVJ/1XeJf039s8Svv+p+mf+cstt3 +q35T5JuG73Zaz4saM0D1veLfEM05qk/TfqxRf6vop3UzzXGq71V5S+2+ohmo +77Xou4NUj1ffByrXiv5M1X9XuV3t7cX3K6I9X/t3vvo+Upmpv49XvUHlLs3z +RNWfqTyu9n6iu5g9Ub2t+v4CvfqLpr97qfZmkMrvtT/t+u7dDe/tbNVjxPcU +tS/Rd88Q7RSVAzX2CvF6TL+d3fC+79PDf5/bcPuchveXPdlMZZT2farGvqHv +vC/6X6n9nuob1f+w2n3qPjNoN1cpaR6Paz5DVU9s8djDVXeoLtgTkeyCrLaV +Sruqfl7fnJ61s767ssYP6t77SzTfHZEf9b+lvlO7u/1fLR53mMYPVX23+E3o +4f1CLpHPgzS22vCZHxKZvyCyukLjr9G4B2hHjpernqb+K9W/t/of1d9/Vj1W +Y5epf7L65+jvjlbvLb9Rn5p9/rTFe9Jd7ZNZq8rgFp8Fvw9U2b9hufqW6nVa +z1nicbzW16fT92VFzd/mDiHvUzV+XcX3Yy/J22k9fIcWafxWqn+qsW+Hfq+S +78wo0SzQt2riuUpnUVc9XftzucrrorlIY/ZX/8Wq3824sSp3it9bFX9/rOrL +xWOQymLRnS76JYX1AvrhkIbP6f2MHd/isxmm+kCNvV7jBqu8rvXspLFnaewe +GvsF7d3uqhuqmyqvin4T1Z2tPpfPtfpv2rOraYvmfvHZTHy+U1jffC40A3qY +Z4u+9WvRbC6awwrPH56sYZzaV6vesux7OTF38+WGdcY/Va+o+64ur/vMzsyd +5Z4jt8eqfiz3s73F+uOG6JDTu1mXLVF7OfpN7Z6qx4rX8ZrPLM3nlYbpN6tb +vq7u4f1eqPrG8FkoPud2t247tOH2U3XrifOiK37WYt1BG71yVub5QsM8n1f9 +27ppnlU9pmY5RZYH833tyXYtlpEBrZaT7zRtL/qLZmXD+/uhxu0vuovUv1Tf ++p14aSmlA7WWwaJ/XzTbiGarHrYT2Iin9PcwER1X+Fyh4d5wP7fNvd6/m8dA +P0nyWIvu+J6+O0K/z1P9tYrPlTNlbwZkf47Rb0PU/oHqflW3GcMejFD7ULW/ +Lbr14rdO5VjRXaq/f1izfmEeyOpMjZ2hUmu1/mBu/PYz0fZV32DR9Gt1Gxtz +t8YXWte3ta65am+i9hi1+7earssOtVqmF4QH/dfqm/uKrkX0+xX+bl3914j/ +KvEZof4T0YFqj1T7h4V1PTrszob1MnOsiucR+q2faIZ1Wg+jg99jnjqLdVpD +b42biI0UzRmF7Qm6lXX/jnNS/wnqn9Dd9Oi5Sfr7APVfjo7vaf27bfQ758QZ +odvubLUs/Fbfuk3tP9SsA38ZPTi11f2jNN/V+u0A0b7Aupoe+5zql5te9znq +P0y/z1T/zi2W6xlqj8G2cMdVP9K03kf/n6V9OEZzaYjuw5LrpsoPyr6T2JUJ +ZWMd+qEd37SdPrxpvpNbzfdEdGer79Cx4v83yd9Oms+8qvnCc03DWOI7qtvE +4+5W6zbWOEVliGjG6u9b1b5Z7af1jVvUfkz8bm51G5pjhMP21Z4eq/qgiseO +VP0H0U9Xe1XT+gRdgg1aLdoXVVaXwjv8KTepfRPYo9XzgP+UtNnz/TT/fVUO +bvG3bgrNb5q2EdiKm8KTfvb9hlbjrCeabj+u+vc1f+PZpvUeOBJ7fVjD+HEC ++kF/L1G5v2Td/I/o535127++Wu/5Ksdha1X3Vv/HrFNjF2lud5e83i3S31s0 +W3SYz6bqWyya+1TmVWzjL9Mc/qNivYpOxf4ybn7Z+oH78WDZdwQ9jA4Gp4GP +0Kdgs1Wayx9UpurvJzvMcwed+wrxWpz1fLHs9nJ0ZdMys0z1U5KRWaH5VYfv +ya9VL276foKnLhHtxbnXYKyD1X9r2fOivx07WDXdMWq/prH3YvuCsSe1Gmc/ +JF6bavxS9T+j7z6tcqvKZy2mP0V1m/boAbCS6ns0l7kqn4Bd9c0Nqm9Rma5v +3KHyL7VnqZ6pUlK5R2WuSgXbp3ELy8EJWs/r4t+rw5iINrI5qe497NB8Vqpc +T7/q8+rey0PV3kHf7SZeI8VnqMb3UHuYfh+p31t7+vdJWvt0tfuWjSuHBm93 +09pa2jx+XewA9mCF+parTA5mwU4wDn7dw5OxtMF5H7cZo3PuyOyEyC06ADlm +zzn/ZnyiIcFWYCZ49AifzeJ/ML9+FfsW+DSvVa1rOEfw0dhgpmEVYwow0HFa ++37iM0H1Nj2N08Brz/W0TkJ38e1jMre3epgOmu+3e23sGWdL37ni3U+8DlR7 +GLirYl3HWNbRiK5bULGvgq4Ep3QEq6Dr0HP4WdiNPfGBWuzHME/uSlX8X9GZ +tql+R2e5TO13m/bz8PfARh9yB9T/UdP8j8v80W1gHviwXztmT5HDLrkDJ1ct +mzNKllPkc2bJsnCHypfU/mW7/6Y9M7KJjsAvg4ZzB7thk7BH+Fj4INjAOyLX +s+Hfbl2Nzn68sP5BD30sgVqs/jc0/30qvpOc40vRtxPLxg3sPXK1tsU8HuLO +aswCjV3XNCYD92LrmRdzBkvf1xp7XDKWmNLTNnS3inUUvgD4BUwDhhlcMaYG +d6/J/iG364K72cOF7ZbpPSuW0b0jbwMr9iHA+3tXrOvQe+jcLt2re/c3tTdw +1mr/pc16A/2xW851vPTwQx2e54Md1qXIGHNFd30W/YUfAx/mP0d0F6q9vGl9 +3aW36x7zaWgWtXov2IdLtf/f1houw29QOVK8husc7uhu/IFPMz9YDkxXk5z0 +qno/j8mdOVY8d6xYr3DGr/X0HaB/nGjHVm13/iT+P2H/a8ZvFyQmwB3hzmPT +Dw8eOL9u/Mt3wcALOaPI6/M9/V3uKfKOTw4+/1ZhHFeuG9fRBh+i/+DPne5d +NT9sN32r8l1s2JLchf4V2yLm9ueqdTd3AxzbN+Ppm6dyc8k+I3EbsPtw/XZG +i+UX7AnN8LL7zkz/P8Tjw6r3H7uB3Vqce3dPeA5BX0X+egZ3cNewt9hmbHoT +LKTSv2zbc1/u78+xZfFhB7GOyOKSNn+De91ZdZtvPax5zmj3/cav3b7FsSDw +F74JuukBbIbG3J96mMqXy/bZxqi9Z8n4ZnjV2AnfAhrGMWZI1XdnpX47SPym +qX2fyja5dyfr7LYWzduS2RFV08O/f9U88b2JnewX7ARG3qrqb36msYeo70vC +2yOrHs9Y7v2kyCr8hqYffluFJ3vD/C/NvQZrc4fxf2bFZwYLgAnAB4uDP9jr +0WW3wSEDkPGqsQSysCzygL0k5sXdAJfxG99k3JfCB/+X+B4+MvXytLnj8CQO +iG3gHP5aMv6ADvkoqpZR5LMrLpI4IXYFW9iFYaqeP23kC/rhwTv8ho4Fc6M3 +PhCfozI35liv+s6DB84rLMPvqf5Q+z9f5dSWYOHoZ+7H6mBj7ukLKqeAXar+ +m/bjmvfr0RvQrslY7DU+EDZ7TsN2cS7+vr6zSGWfFsvwlDavl7jFRxp7Tdkx +Enx5sCdxKc6OM+xWtl8LFh2kuhXZUd83C/N7s/B+FNkT7gW/Y//g/XH4Y4P+ +qLJri+f+Wua/i+jX9rRfw57TZj8XV43bwGwLg+GYy5PSTaeLx7uFYwt3Rt4m +Yj9URpQ9R2jAh/id7OEhFevU17K3xOReBd9mbsyLOTDHl7KfL6ZNP2NfTJs5 +vpJ5UsMHvbVvm88IvfpqaOBPDHZU2bG5oYkNcEaf9vQeITPEkvABsHXjouPQ +b3PF8xqV1RXHAsHz0OHP4Vvu1OKYI7YcO46veUP8zQd7WD+jv8G6j0UPLmw1 +/6EV7+urOWf0Nz7PRl9hRXwE/LaV8YNGtdsG7VWxHUQPL0x8ixgIvB7p8HxG +6oxOKjtO0a9sPo+H13p9942e9tnwy0/M/Ojjt6Wxg+tzXvgD3JWtsTNVyxA0 +kyOzyOeIimPx6N6X4rd/UXPYOTG40aoXl7036E1s/ynhCb914fmfhfXbW1rH +qjbLMnbtG03HQb7ZtA+KLkWuZmn+P2ox7iSeRoxqROzOiuw5cUH4c3f7b6QV +zS+I3+m3K6ODD45u31K8B0f/47sS62TOxNjGBQ9sUvV967JBTcciiEkMaBpb +4z+BHcZFP8+v2v/HXmOj8O3xuQcLZ27Zy/vQkbuMfkC/ETvC1wNrnB8f4aLU +4DViNGDu7xaObUxOfAPbyNw2BP/vFbxfC0+wKbqBOaMf+nZ6PmtqvhPcjbty +Lpw3stCtaZk+T+cyuuI7BYZGN78W+8J5c+5fFe3XCuvGZ0W/lehvLPuurQ/P +pcHf8OjytXs6r8ScPonuYg7EtD5JmxgzMT1iRuj7T3N/OU9kABmkb0Poz1Q5 +Q2Vq2bEQYozEl4g1UV8S3d6takw2KfYCm0t8d5OcL3v/ZnzJfyaWuzpx1oWJ +GRL36IqJqF3o7A/U+Ku1B78s7HfdXlhfgvewFdiiicFU+Mrdsg/IzKzI2Jd1 +Hrep7ySN7Z795xwW1p376VezrRifOPOGijEwOOWyuvNGNe6fyqMaW28aE3fF +5hKvgCcyyd5AwxhkZ5PYEvxjcBrrZ16zM7eCGKXaHYnZ42PgGw8N/gE3LWu3 +PN9UcmxrWPQk+SBiGvgUxJeRWeQD2ZwZmT+vYt/0FvW/12EM+peaY0HMoTOx +fOYEjmOOYEr8O+L3zWBLvt+RORATnZl4LHk/5k98mjMHK7THF2yED/oZW4he +JTeIXCF33GPu84Tk/Nh7sBY5qLWxCdg07Cs268qy/TDsDmsir8K6rspvjEVv +4R/eWjIGBAui53dvMz4Dm43MfoCjdlF768gNsVhyIuPjU47PPiODu1Y9l49j +77gXuxXWh7/rsP3AFqEHkEXmjn7Yp+r7My02l7VgTwdWPR/wJ/MB4zKnPlX7 +J9gU4v990sbf6MJVJf/eJz7IOx3G0i/XjBPBi7cGa7N+fFJ0MLr4tmDU/vku +Zz42506+EV+S8dAMDOZk3KCMHRQ+yCQ2nr/xafHP+mU+Y8Lz0uA65jwic++X +NvkcctecNzKxLLabvdk1+4OtJcZEfOmKNsvT68GTC6JnukfngCefaHceE/3F +b/SDzbCZyB4YjL4FoSfPPD4YkVxB9/QTU+K75EaRX77LnV3dYfxyc82/rw/N +5nXnPF5tOMaDTKMr+RY8sZXk8vCXZZ666lruCDGnE5IfRJ/3zvleVnbMgBgC +tJOCvYfWbIcGSv/s12b7je2mRs6QMfISyDw+DuczKmdHDAZ9T1zm3rJlnngs +sVpo9k69deix4fuG5/btxmRgNfwXfBfOF//yoswVGTwkdh/fA7+kK2dU9nq4 +t+A8eIBfyP8Qw+Gucj+YP5iT2CUxzMu1r39sOkb0UtP+yNNl+yTDI8MjYw+x +i+Al4nvDE+PjHnIfjyw5vwkNNg5MxHh8xqGhh4Z6WNrIJW30CbaI7/w19hHb +CObZssVYHXzOGohFoXO2C4b/V/AGMY7B8cexk9uVPJcRmTPn8km7z+b3HcaO +uxeOWzF2QDAeuObvot+i0zp4VM3vBLiv3NPvF76zb4jH7DbHGLHXnDVxn2kl +txfl7LkTjeRzF4UOGmJLxIgYs3mn5/bzmscsjJ4Exy0I/ZBetpfYSmI64OpK +pzEQWOiLag/otDy9qr5nOuyffLX4t18En52atitLmr63+CrELednbsgqsV98 +afaaWNNOiTfhT49JjINYB3G3PUv//nvP3Cn6kdV38zf3C301IDTIMnFkcCF1 +/8R/0GdjoifhwVjo3+ywbj2msC2dFXs6KHLPd4iFcg/GlCxP2CnsF3HFK9N/ +WejhuWXs2Ubaq0IzMPeN+ffN3JAl6n5pv501gGlPzlsG3q9siFyC/5HN7SK3 +xGPZx1LWfVHkc4fsLfK8U/aaNveSuGrf0F4cemKuHyYOsDS/0/9iYoDoNHy1 +cblzR9XsZ28ojB8Zw904PfNlbsRx0Cc/Ec0XOo31P99peVkUmSF2hC7ZJroO +u7Qkd5c7zF0GB28afH599AL9YE9i5lNKtkU3pJ/zmlz2OTxa9x3bumFstVnw +FbGIV3o5HsHbovXJWxygvnt6Wc9dH57oiuvJoYr2hsLvtvCdNtq/6/LdZzTu +bJWftPvMJ+fc0ddd8fSS+65OPz4rewru+B+NW9vLcehXOozBDinsW7BGfPYe +DcfDeS82vt0xBWzHvHbH0dCHc9ods8Nfeyf4BN2CPcFnBkc9V3PMhNgJ/sf6 +xEGwYZsHj20fnwz91qkzO43Yjehf1hx/prKg3fsIxkevkue8KflT+m7MWDDb +bm3W9fto3OpePvONdNA8WLes79Dwfl+f/QSj0Ubng1k2xiCJY8wre28o5Njw +neamPbXkOAw5OXQ48cuhGQ+2vLNsv3h62twLYnvIE7K0JN8hzkm+BYxOH1gQ +LAlWB59fnDwofjNYE7xLrGVt4i33ZJ5Tg+HBdOj/7+ddyJNNY8yHwvuOzKnr +nlb8N3mWlcGe2ILZZc91SubM3xvj9eRy8COpZ4UG/3Rm2iPTDy3xWXDCjwvn +J8hTrG3499mh37inc4Kx52Ytd2YfmSfvQA5NrGHHzJn+K8rWtehD/F7839MK +v+Hh/JBn8pDk/Wdkn+aEP/Xdaf+oML65oGZ+8EU3D9xoJ8qOvd6a2PsziSsS +G++KjbQZl0xJXndGyfEx+rk7xBempJ+8BLlwcghg1H1Dc1/6OQtyEde2GQ+s +SEwM3+qa5E7pJx7FnUZngT2vSC61j9ZyNXNr2Ge6Ou/nGHttYmvkpS/IG1By +0vB4sOZ3h+TXm+q7P3NiPvPSJiY2In4S/gIYbefgtIMK6xP0CnTkHYgFIQdL +wgfdvTQ6H3uxQ+wy95b7i05gH9kTMN4eFefb0Nvwgw+yR+74irx5ezi5ZDDz +FWmzDxTyy+B0xt2fOdzV8H5Mb9g+YCfALPeFhu/Ac2ny08QfkQ1w77U5C/Z/ +St5ogPluiH4eHNmZFPkZHjuGjWCfhiQWx13EN+eOY2fBiOiK6+MnD4l9o/+W +6POrYmuINS1JTJu1Ppx5zo9Mzcq6l+YNFrZ2Q3Dh0tCzVyOCdZkz7xnPDA7g +nSJ5nX8lvwdeRzds0e6YODEKGPCWBdzWledvc56dnMPMYGDiG8Q2OG8wJljz +4pLjrvMiS104Le8E0OXYTfQw8R/kHH9qbOHvPqJ5ndBw/KCpvgdqfmNxXMO4 +gnUS3+Td0ZjMgzu3JPcUHdCSebK3g7PnZ5ftM5CfYR7QoCs2JC5H/OHO6MwR +0Vuzog+/WrHdxD6Qbyc+i4/6Xt15hffr9u/w7cCq3Afiwqx9XvJ34BveSu+T +99ID8lb5CN3BfxaO6XyqenTDb7/61mwn+kR+1nd4f5bVjIuJtTwWHbkw/gUx +EN4TnBOZYv2shVwusXLitm/X/e72nbrfC/Ju8CsNY0LO/JboroX/7y7jq6Ab +eS9GjI83Y5w18VXsCLFWcP/KyB/92CbkcUivf/cNDj1v78iDfq7TOStyXVuG +dnDoH2w6x7a2aTu/Z2w9/gx+zfcK50PBzeAfMPWWaT8l2nG9nP++OPNHF32a +fe7d6XGMH5RxQzIWjM1vYPX7o4sWRbbZW9bFWu5N+4zIfJc9bfM7ZuSfHEe/ +FuvzNfFl8Gle7nAu556adQnYr+udbYfplxKL63Tudb3mOyc8+Q5vtcnr9++w +DgVfcQfnBR8gn7tW/FYBXQdOQN+CFah3Txsct3twFDkK8hfI67K8E+O92OCc +J+sihjEnc0A3YrewL7w3IV9FfpT35cTpzi2cc0PWyBX8K/KEvsLuzY9codOm +R0eBCaBF5zciW+whsZHp0f/IZmv05IR8c+O7amreXbB/c2P7pudNKLnDo4OR +wEqTorvBEuj4ubG5x4eWGPJ3G/5/gyMb3vs5sa3k5PgdP3FtzTqTeBsyUgpe +4g3Fs+1+U8KdWhW9RP1c2sO1R2+qvW3NuuuZ4Alih68nn4L/cGzePh1YM6YF +2yKD50b28DcWBIe/lzzs+bzrrzum9kjd7zHQSfjOvClYlfdwT2c+9B0V/fio ++m/R+CN4/1937G2XxDnbOr2uaqfPl/l3vcFvM3aZnDU8HezEmydiB33I3av9 +J/VvVfj3Z7IP+A2LMv9x5FvajXVHR1eTaz64cKzriJrfdKLfD8/b6lHxP8EP +xCCmlexr0oef/tO81efN/tmFcyM/rjmWSP6OuB12eFT+V4X8CnmWrzWd28GH +Ya8fSI1e5V0PPhkxed7CElP/unheUDi/eqLaE9QeKpona46Xb9ruuDffJHeo +re2Kx4Kt8Averzln8W6H57FHsBBxeeLzv9aAf+i7u7Q7Jsl+ce6M/2toiOUz +BhzF2wkw/pm5v8tzRsj5bZrb0Ro7LW8riPGBe+bVfL/QTzN5f8Ub6brXfV7k +jZwb/cT6PosdJhY1JTmaIbGn3dodD0fXHJyx17Xb72PfvlGY5uuF9RL80Wd7 +Zn/Zk654ZvA2ckFuG9kY3nC++NS69wyfh/j65xMTWFnzPhXZK94tgW/W6Vun +1CwDyAKx2M5237UDCrfn1Bz35t0V63uqw777EzW/B+deoPtuqlnHEAPGviPb +5LNW1u3DPKb6V7Ff2LHFuXtgInTJvOQ4yLWOj9/9dN2Y5pm67+XTuSPcq+XB +SPgtnNWwhmPRy3Om2PCpeTd5bmQbGeN/D7gnkzucHxicd1P4wcRAwWAn1Cy3 +yO9Vhe9hR93+9EHBeM9Fb7CG0YVlcWdsaeIhxEV4t0hsh7wMsVxkjHgu7xSg +5yzAoQcGi/LWgfjOuMIyu0fu76GF78uSmrEdeJE5vJL3CLxP4J0AMejDEsvB +PyKO0zvxB/Ij2ALyVezP0PxP0/HieSy4Qe3f1JyLA+9iW16pOSZJbHJNu2M6 +6CdsKTYV/3E8ukj9h/P/TyqPqP2a6qMK50/4fyD8Wvzbbql3jS0mzsNY7P0P +CsfUyUM+XPNcsf/gkLHBJIzh28Q5/7twHJh48H2F7xFxFP4n7+G80SJf/0Ty +Heg+Ys1vBWPTxpchNjkk8Rzo2BPeFoBtwbj46cQbsDucYxemzxvsjbzI1R5Z +eN/+t+b3PuzDhqx1l+wV8aEn866C2NSivC28O+uChnedi+Lbjs4cwDDdOj22 +pdN4iP3ZP29Cp8UmQjs6cyYXCa4DYxMPI67It/AlwMxgZ959sU/Ykt/WvO43 +CmNZYsW8yyIO/eV22zsw/rfa/Q6Dd4PE3i/M3eKOke+ZH32L3LJO5AXdjM+H +Hwlu75ezIVcAngPXXVuzDbku+hDfcGIw/NOxfdjiUwvnx/jfmuHRc8g/PtD8 +7Pk7hdtvF17fjKwRW4J+/KBmOz4utpXYCXk4+BKbRt54V8ZbcHTIYU3r1svy +1h6/lv3cMr7a+ZGlUckDss6u93IV+whnah47ci9qfi9Em7mTR8XHZm9uj8xi +E4l3zU3Mi/9rJb54dGGsif0iPvDzwmdxSWH/bGL8GrDZ7OBS9MzzeRN1SuFz +fLHmHNwZ4dMVu2t3Lgz5Rwbwj4lpIUvEqPg/mHmJf3JX5uS+/B+Oa4JU + "]], PolygonBox[CompressedData[" +1:eJwtmHeUVPUVx9+y7C4w+2bevMFDBJRdSihLU5SIqICeIwqKSkdpIr0aWlA0 +ASSxAJ4YDRHFCIjUUJUWBRSQKh2R5tJBQQwQCxCM+XzPN3/cM/f+bn2/cssU +9hjSenCJIAiaZAVBSX4PRkEwNy8IxuYEwc5kEHwJPRt6WG4QHAmDYB/0w9le +OwA+gbU24APhL0wFwSHWOsNfwNoR8M3pINhQKgjKw98Af1wcBM/Cfwb4N7pb +gHeQnQrsQP4rZOYQy83IF4PfnEEvEQRvE9tN4Icj217E2tPoboWeAj0P6APd +AchCvwD9ppHXxGuI/O/wfY5vmsm3DQN6wJsOdEJ2FvS38NoBy6CnAMfx3xV+ +jSzHuBN7m4Aa2fa5DXwD8Eae90x7txX5v4MH+UFQSLxXoFdALwfOwH+B/ejL +fvTC5mro48BQ7H0A/yT4icj45TJB0A3dL4AZ0NOAXfD2A7PyfAY6i1/hozV4 +Q6AceDPWysGvQvzdiX8a+q/xbRtYuwDvI/w3gH6XGFaDf5w2rj3QXhxA5/Vc +60i3DHR2lm3eq9hY+yu8R9jPCexnP2A0n1u7dBD0F418bfT3ww+Jpwk6N6A7 +nrXN8IagXwd8NDY2s9e9oCvAr85aD/h9iOdB4imG3xt+E2xeYy+6Yq82dA/o +d4mnKv6eAm+hePCfxEYxvsqgfxx8A/vxa+iW8CPoFHAndAugELwy0BK8AJv/ +QbYtl78Q3cXEMEix4L8+uoPxMQP79fE3BPy7yHs5HZ0CnT06Y5Bdhv4kbC1F +540cx1Aa3kDoUcRbzDfdjX5r6POB34TexllsrES2PPZWw5uP/4rgA4hhQcpv +Tm/vPWT26n7gYzL2hwBt4fVEpkau91B7mcbHImIdzFpH6N8Cn+L/NP6awvtH +yraHA8vAr2BzB7qz8fllyjrSfZO1zfDG6o5AT+P7xuJ7eOxvqYP8MPCDwKPg +11g7BH4XcKSUv3kAttpCJ3Q+xNQO/DmgNvJnkXkevAs+DvEt07HfOfI36lvT +wGH0ByJTBwOdgar4b8Da19yHAeg8BL4k5Vi0B0vB/wA0z/UZ6ix/D2wp4bUx +4KuwNwJbw/H3M9+2G3/T8/zG9dbbABWRHYX9dfibDVzWWyDeNchPQb8T+tfx ++T30w9CF4F/h4210++OjCvbqYWMA+Ez4TyFfF39XkD+DvXex94zeJHgOMuPx +XQ9+Lvhs4CX2qw/6c8BnIXMJ2c66Y+A9sTGipN9IX/A8ZNbAyybfVOW9RbF9 +6w7E4PP1JvF/gRhvRP+/0G8jfy/0Ht031q5AjwP2gM8FfgB/FtgEXoDMdfB+ +QFPww+i/jr3x6C/Ef7PYZ6k7NjT0m9Xb1R6vhFcXOIbsNNbqgc9TfuH8lhJf +BrpDyt+uN9QR/Bjn8XKe3/TRyHdUd/UWfLTG323QB5E9g84cfM1Kea9ksxL2 +DrM2Fd1voOtAf4rOpmzfmaLYOVW5VWegs7gd+hfwgUAr1aPId185Xrm+C/YL +sV8Z6Ap+JzZ+RP8g8ezE9j3IlM1zjlOuqx3b9xL46+BfBdqU9hm0xt+Y2Hsx +CvsX8bc9cu7Tm/gc/BbWLuY6Zyl3rU377ilnK3ePY+027toI5LdjbzTnviPf +91H38gr2H2ZvroFXzPiO664Ph14B75XQPN0Z3Z1B0BM4u76szYP/WNK4Ylbs +9VO+q8q59cB/UH6Gtw+ZasiORf8n8A+J9xTxL4/t63liqof/V5POjeewEcM/ +xvr9wFX2aBlyx1Ku1ar5R8E/wd5NrJfFx0l8nUu7ttRmbS+8l/R94Bu1f/B2 +Jd2r6A7rLj+Rcu/wC3egPfLfAfckfGaNlUsy3jPt1ZvQl0KfhXqSsdA1sJnD +fucBRdjrk3Lvoj3qDd4pci7UHXwcfH3SuUJvVG9Vd0J3QzlrP7ZHY7MR+FbO +bDn8NNAGugnfdAnZ6fB7JFwTVRuVI5QrtDYDXuWkz3Yd9t+CrkUM92NrIjJF +4ItS7r1UM1Q7tCfam1bov4L8y7Fx1STVpi1J1169cb31V5W/4W9BJ5F2z6De +4S3ZhD8xdq3XG9Jbek01LOE3vR76FPR14lnP2jXw38SOTT3WHeAb8Fkt22fa +TfyUa5fucEPdLa0l3DOqd7w7cu5XjXwM3a7Kr/Arwz+Nv3Ks3QivPGsd4ZXg +PEfqLUCXBC8FXITeDV0G/Enkb+XsakL3Qf5xoELCOXsdvOyMdesBB6G7pfzW +1UOWVv3gruwF/gZ/JPAE+gUJ1wjVCsWk2LTWGd7n6hfBq3O+X8PbHtp3Lehv +0gbhtVjbAe9s7Fy8VUWSWK5DF2W55/0ZfJByaMLfoG9JZPz22qNzHLpfaN1t +QBa8vWnXet25U/BKZ7wX6kHVi+rO6e61ZS1OWke684H+8BtH7pVUw1TLLiTd +Gx9QfU367e7K917oDaunVm/9PXhv9BcCGegcfBSnfed197X2KLLH0T0KfAi9 +HOjEWsWEc7Zyt2YAzQLqodVLN9A8gH5JZFoi+1Dk3k01U7VzVei7EOHvBP5a +xJa9zh4cgf4jvoqB+0rY59TQtXqy3giyqyL3juoRVoKfhH8HcifQ34P+GmIq +yvbas8ifCL33HYBfoKuic469+Qi6CvhO+E3Ab0V+aOw7pbtVl/jOp10TVBvK +srYI3qHQsuqZdqX9DfoW3dF/wmvFN6Zy3RM8GLoHUi+kHKxcXBO6S8I9rXrb +rKS/TWvvKN6U37JmGs02r8c+e8WoWG/WHYbXhzO+C7wwdK8RstZM/WPs3lc5 +52nwNuzlPCAny3lJPbZ6bdWs6pF7SPWSmiEOgm/DRiPoxegUcdfGJd3raQba +GruHVi+tGAoj13jVeu1pTXTzlWPyPHNo9lCOUq7SWph2zIr9feA8tjfi8wV0 +J8H/BHs/hZ49tLYJXqPYd1Ux7UD/Eeg44RqhWtEmdm3NA5ZAD4hde5YA55XL ++Y5H862/kj1Ym/Qsqzuiu3IUmZkJ5yjlqvvyrSPZFcDi0LaVE1vHfiN6K4ph +Qei7+qd810bdWc2Mmh01I1yFvx8fL+Z4BvwCXq/YuUYzSk/w0+pxcpyTlZt1 +hjrLOaz9S7lfPXIJ36nnUj7L5vmOLef/M6lmU/Vga8A/Dj2bqMdfB10p7Vnp +qnI69hIp45oRNSsqRyhXqGdsrHqUtG/10OqlN4eeVdWDVsr4jHRWRXpD8NZD +V8j2TP0Z+JOxZz3NmN1j9wTqDZQz1iJfOe3aqBmuEPsVkp7d1bOpd9MMp1nu +Ac3cafew6mU18/wU+T8E/ZegmvZn7H8LLE24p1Fvcznpt609uwR+Ff66hM+4 +GHwyMnMTXhNPtUK9j3og1Ywocu/zAXs2MekcoFygnH4A3S5AQZZtlGU/Tsau +pYrhAngS/c9yfeY6+91J9+r6z0X/vYyMnYvaAcdC97DqZVXTJ8WemTU7q+f4 +S+yZSbOTeqgXY/8Hov9CVINHxc6Zyp3q8d9P+s7r7us/iD3EEkb+FsWUAu8Q +e7bTN7RXv5Lxfx/6T6Ig4x5fvX5PfSPn0Tfls9Z/BPqv4Bz8hQnXzN7gGyPP +FroDa4gtxkYxvOaaTzV/pD1rZrP2gPohYswt5Z5NvVu70L2f1mpC90777DUz +aXZST6feTjPZe4o94/8q1DOrd74h49ysGtw99IyhWUMz6u0pf4O+RTNxDrGW +h/9jnmcAzQJ9Y9d2fZO+7Wjos9GbHBG7pqi26D+Ne6CrZTy7qWdR76IarFqs +nqdL7P989N+PZtR9oWc4zXLyeRO2vo69N+qBvgF/MPbeqGaqdm5MepbTfwb6 +7+B05F5d/znpv6f/AV2Mvg0= + "]]}]}, + {RGBColor[0.679358375, 0.69013275, 0.6785905624999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxNmnmUVdWVxu+roqTqvXrTLZeCAZk1iAPIPEQF1DYUAoogoMwmoqiAMoiA +JPknEY2tdq+oqFmJptVGBgU1Wa2ACMqMUmg7ZlAwKkRmO5io9Pdjf7XMWu+u +s9+5Z9hnn332/vY+t82kaVfeUpEkyfuVSaJfUq8/g/T0zCTJI02S5FE9V4g+ +XBM0dTP87v/U/i9VSfKw6Pmq+1j0YtELRO/QGP8peozob4tBzy4kyfMq79Yz +S/W3lZPktKZJcklJ70SPqU6SmSpv0rt71WaVxr9f5X16LlFdMRs078aq7enq +21JPRv0fVN3tGr9bZdATM8HvY+Z/kNrXVwefDXquEN1P5VCVw/Scp343lYO+ +SePsVPmMxl6k/ldWR3vGbFkVPIwXXZuN/vSlHKLnWsavjv6N62SMbCbmH2we +Ljc/9N2Sib69Vc7NxViMc3lF8E37Bar/tCrkUSM+a9RvZT5JKpCd6q8TvUpP +repr9f5VreGw5Ddcdd8X3UT9XkuTZJzGm6P2N2dir+iLzDaoTUfV/VXlcNU9 +cFKS7NP8Z+p/pdqdUY59/mVV7O1v8vH+3WLwAT93afzjxWjzofrNVfsHRZ+r +d2dovGl6Ouj5m959ob6/Vb8DoieIz/6iv1W7h9W+c2XweLr5RN7InX1vURU0 +8t+t/flYz2b176U+j6q+q8qvauIdshilcU9S27J4W1kMHp4rxtzw8LLWtU88 +XKox+uVj/chhvOhb1ecxjfmG6I8qg/6d2rXXGLP0dM/E2maLrztEN9OcieQ7 +WnSmOuiLRT8tfp5rGufmSE2cJf7/sDLOAzrye+3vJ1Xx/3rNN1x1W7S3h9R2 +qdquyUSJTna1TkGPEH1cZfOmwQNniTN1scq/6xkuNi7SeL8WL4/p2aN+7+jZ +zRlJgp+VTWPNe9S+i2TyU7V/S88l4u9N1b2rtu81iX2a77P9lOj9ajMT3Zec ++tYmyZN6Vqt+gf730Xrmq2ynui562ur5leZ5sGmsDX5P8JmJOt6xT5tKUbJv +e8wn837dJPiAblYT9C1JPKxnmtvs9vq2qH9P8bajFOerRdM4Uz9S/WUqryvG +fjU3D4VsnPMu6rNMvHfIhe34ohR6jr5fJnqc2k7Jh9053WPO89mYL935t1LU +X6ryznKcsTtVn8vGWeaMoy/HvV/oCLrCGWtfDl4m5+MM/My29M9VcZawpQey +cab4X1sMuzhL/W4Ufa50sm8pZPC1ZdV4ZrClOzJBc3bqNccK1XXJBw/NLIdG +PX5S1X1K0Ya273pMZDvO8nw6ibO51/aQ+Q80iT4Nkt81uXi3UO/2qXwjiff7 +3YbzTf3NHq+l5cnZQn/GV8Z72rXSHpzt9bJu9pX93Szezpc+HNDzOL5G/b7J +xTtsG74A+9Y+F/YBO7FK6z1YE2fqTNVPVn1f1R9V3Zd6Oop+sSb+V2fCxhwT +vSWJfofc94nqqMfObMtF35mZ2DPmXJeE78EmXZCJ+S+ujP/dzfOVqh+p+qv1 +zE+CHqFngejLXT+4KvSbevQd+3xVVZxt3o10+y/NMzyMcD1jotfDrdvYDNaA +3WDP0LM+Kk/T+Wyu51AuzkI+Gz6PudD/qzTOvFyMhR/8UPQwvetRFfbjiG0a +Ngr5MA/2clBl2Exk2k/PVZYHcpgu+vNy1G9HD+uSZAl+TnZjRmXYH9qcr/kv +FX2W6DfKQfdRm1vKsa7phfAbnBfWw5585X1pUhd7U6Fye0XYXOzt37W+eZXB +H/aps23UDaqfomeZ14PtxibiTxgTXRhTGfrCWjao7Wt6rjbewLZjS+kLDU4a +Kt5esC5Rd8RtWmi+7+lZpf8/1Bz1GrOH6pdXx7wzfKbghXMDb8trwj42d78f +iG5fG3b281zM86LnwocPt54MqLLeiB5o/aEuTWPMUhp2BxtwaznqmJf5OxXD +N51VDP8EDbbpr/lmgh+wG2nQawphfy6uCv9ytfVwsOccaH4mmqdJKq/Vuq7J +Rh/e17vNmZpvNzpfiHMMje6BocCd+KJJxbDn2PUnC+Gn1hcCT2D/2uQDM31q +3LY+ExiEPm2z4cvx4+CNfxhz7MwGv3djA4tR37sYGIa+7NGCcvAwRXP9pBzY +9+ZC6CA0NgDMi+3GbtcbA9H3qUL4toMq78vGOV/k8z7EZxa5XW56sNbwssqu +KucUYlwwdRU+1ecQfcSOoeP4e+TXWuWQfOCj7vnAN+Cc01WuLoRN/b7GuV57 +dyuyVf0w0RNEv6j34yqDflB95noPwNpv6Jmh+nH4xMro29Hnlfp2lYE7wZ/X +pGEjOAPPJmEHWSOxwzDX835SPnDN3oJtm/WzUSfQl5WF0I0vVP42F/3WJCED +9J6xVpcD67xUjnMMrmhVFfh0/0mBT3ar3HNSyAJfRD3+iPKAac5bz6p4j/2j +D2dnouYZpHH/JLqTbMoZmnureL9RvH9P7YqZ2Df2lTUOrggcD166MBP17PUD +Ku/Pfld3v9ujX+goerJU/ZbpOUX0ZrBRJsbZaLqk5xn1W2L70zob/6GXmH5V +9AqN8aye00Qvq465mRf5Izvk9pB06Zva0Cl4oQ325/nq8Jf4u7zW+YTen6pn +pP6/kgnbPqEydIW54G2w13uJ2n1lu/Tf5hNdAgchE7AQNhSd7a/ys3Lo8TbN +syETcSg4pHUp9mu/yvs0XkHvP9OYj9cGT/CD7mPbGWu8eeFcv5mJtb+icW7L +BB/wAEZ/PRPjv2a66PZDKsJ3b/J6WAvneWhF+Eravua+tB3q9tjtp3LhLx5N +A/88orJNXeARMGmn2sAow4xVjpvGFx3Lhp2Ymwl/gA5s8Fx5lxs876iKmPsU +6wL6QczeR/rZW89lere8IvZ+B+cwEzgYmY9xe9aF/2Mu9vFZt0dWPPRfq3Jr +NuR2EXsk/u/S80fxPUrlX2vjnJTM20Pwlgkd/i/RqWX4sOjtHhN+Dqvfv+v5 +NBc8oTOp9Za9Y49O8X7Ay1C13YR+qn1XyXS/2o2WPHuIPiT6WtE73Z69AA9Q +jz0mlsPffiz9eVz996l+m9rMLIRvOKcYfqXBfRmDsTgvP3YsNieNuP5INuxU +g9usM67engmMvSkb/gPf0crYgL3bpXJzNuQD1mUvwM/02+a+DW6DfUDuz3gv +Vpp+TuXTudCxu9yeuZgT2a/3+My5wfMWPD5jPGT+HvYebdVzcibarnf7sa5n +73qlsd6eaayVNZMzIf5A/sQxjI2NauRxqXlmHaz5mOi3TDM/5VvWJc53vc/4 +etfThvPdrDbOOOUltiEflgJfvl+KOKXeeaqeHgsdzDWJWB3bNNYl+GSsxjii +Z5f2cJfGyqBPuZjzbfMzQedmYS5sO3Jt8F4QM+3wHrFf0H0sV/6fYju5V+2f +MCbf6b6bPc4mn6Gtts/Y3y2WzwbzgAzOS2Occ1WuTyMuJAezzLJd6TG3ePwN +HhP+W+j96RWxp2C0+bnAacTw+Oa3JddJ6CJtM4F5OU/EC8v0rkpt/lQOW9o5 +F/Z0Whr0LSov0vNP/EI+bD40dv+CNGTdoL7vGhPsE/2/+cDqYPb3XF8pWzg5 +jfh6Ev30TNP8N+r9J+LnF3o+0Lvb0zhn4IJaPctrw49jb0bb5vwjjfOwJw0/ +09560s7077Wff9D/Abmwh3nV7c1F/VGV3XMRMxLnww+x4Q1qM6U2bAS2FIyL +/qA7L1h/8Pkvin6rOuwC9oGcTVe17+azyTxDLd9ZadT/2X4LHsHou/IRB+0l +flebTqq/IY196WL+vxYffXMhb/wF/uMbx7hniR6QjZL6YfYR4BDOMmccfcAG +7MnHXu0qR12Liu9sAzS6TdnSNDnYltYlYnCwIvH7T9EDzX0Im1obczMvcWNH +0/AE3SEb6+/stbSsjZiHGG+FyqW1ga8Y7w/eox35iAeJC2l7jmMkYmfkg7w+ +Fw9LRX+Wht6gP5m6yDuCjclP0edsPafVRMk4tHs9F/Ofr3F61sTczNvWMSBn +oZn1iL0CH31qfEnM+0fjbeLHgbnw2406x552cSzGeu9OIwYlL/vzNDA8WJ4Y +va3nIo4j9oafw7mgkSVrb2mez7HcoJf4HbEfD+tsXhNtzrasfpkG5gf7t3Nc +C29pIWzjIcn2vjQw3XSfe2JsfC65P/DL39LQqbNqv8unUILtkX2F+Se/A84h +dwu+YhzidHICxMCMxbq+tsxZG2smboX/5l47OP1Un/H24jPRuDeJh1Z10XcT ++do0fN9u1peLM8z5/UEa2Okm4hrRt6v+ZXxXLuZGJykPmd6bRgw/ReVnVZHv +wwZ0yUUelhgXvV1q20is8YHjDWJQ8iATLTtk+EEp7M1X3vd9zl9MTaPfh+57 +diH804VpnA34QQ7s+WHLhzHyHqeD5fBlOfzvaGN4MOMRr4V92GY+yf9AY2eJ +O5EDeULOBrpzQz7Gw/+xR5M8Jj6d+LjB+Tr84mbLFow5yrgXXzfKmJMxNnkc +bD1zYuPJa21y3+Pep4+xPY6bxtreYmvJjfWtidhstbHhdmOfbjWhT4y/2f4T +bDDVGAV8AsZanASeWWHZgC2ZhziNdmChVva56C+2CR0e5/dg/hGy41c5P7bE +fpr2a4xZwYrk+h6vjhwg2O0a47d8OXJDOZW9XA+ORe7cDYC1yWuC+cibElcT +U89LA2eN8lrG1wRPxCXYL/qBz8nFUgdG6uH22O2+jnWInxZprH7qe7AcMSw2 +FXluLUVufWMpYriV1ZH3G5iJ+K0xL8cY5It61UR9bSbyaAuMc7o5TwlWIS9F +nMO5JpYnP3c0CbuDrcUWkY8lzqQP9xTMyf3XI76LI87dJp4Wi7ftpcBu4NcT +8axjDrDus9YF9uElx/VrVQ4wj7Tp77FpO9CyASMttZ6CRXs558rcbawPxOvE +HBu9X+gLPu9k6/h2r51xnjHuWmuemBeZ9bfcwAS/8r0GsdRcy5Y7MHzSfN8D +dLNM4XOueSUXghzJ82DbsYnYAWLw+xyn/yUfWGV2GriPOrBfzrp3r+rn5OJO +AUyOHqAPv1B94ruF0cYCo7xGcl/IYk4mch7oDeewh/M0yBy/cdT5xC62i2BC +cPcd1skJaeTWJ6axzwO8H2+WI7Z8Px86NdB7dr/zCujARuvn5lLEBRdZxwY7 +n835vicJ+k6f63rnXoY4P8Y4U333wR3I+44R5qYhV3QT2aKXzZwv7Wgfiw2e +mg9f3o8cWD7wVn9id9EHRXfHV+Tj3qVbGjp0gfnfUQ4M2DsN/Zrud+2zMQ+5 +enLoxE34i9toh61WOT0Nmc5Q+U4+Ytu0Ls7MhZZD67rAfG3r4g4Fe42tvi6N +e4sfpRGLjLeuktOcY3uyz/cu3K38rjrsF1ikpbEfOrDVtvRk23ni3lNsw3r7 +XBB3bHM999WDfGeNv9jru/lT68IfNauLWGSD7Sf8Emdgl9eVg497xPMZpdC5 +bDlyDm+6zf9Yj19K455pYhL3HtOToMkVv2LbBSZ/z3eC5BnJdbV27uD6Qvi/ +RPO84JwwuWHyyPjvStWfVwzf31nl1ELcu69JI59LXrdDMXhqYZ+y2LkMfA12 +Hf0n7hzqPAzy5w4f38Ad1gjf2aC7B7W/F2r8n6SBF+udc1lve45dP5KPOOVn +aehPu2zo7p3/IgNyNmM8L/mzwc6hzfOe4X/IZ8+xLrA+fC33EvhNbB7+jvzV +aNMf5cOX5+pCL7bZLhFDvOY2c81jwevHTuOLufu91NhxgO8W2CPutbr7Pm6T ++aVPQz7w97dp5PN2+xsD7osO+s6Ie4B653zf9X0j5wjep1q3x5qGt4mWDTJC +t7HhxC/YWs7cuiQwziTr2OW+i8B+IuMRzrHzTQFxPvelxMrtfJ7bleN+tgMx +WiG+27ixHLbqNp/T7baX+IdJNfGtBXyscA4OHwR2OOGTk4gt1xhXEG+Dv5fn +Q46MCQ6f6e9hbi+HDt1jezi3HN++3KHyVvFztegZoo+XI3+xIQ29usyyAoM3 +frOzy2eSOG59OXIW96v9ujS+L3k1DQwJlgMX4Oew2fg+csT4umftA7HxvCfX +CG6Yrf9r1f8OjfNKGndHYHny6OQFyA/sJsYvB04YpzYflSJO+KQUeYpF/hZi +j+P6T9LQQ/Y+b9t2o9fFnu60PXylEPc36wqhNwN8X8D9BPcROzX+e8W4D3un +GHEdPo2YbprPGDLm7oo7rLWFuAvhXuPmNL6t4S55obHHbPsy9pHYYI1xyCz7 +PrAkmBLbO6cc+sA3OAv9jvqr3QbMyV3rVf4eibqRbkM5zjQxANid2KiH87vw +8W05cpjkMucV4juEeb4jpT34GT9GPpQYbXo5xp2htqVs6Bh36tB8XzXaOBG8 +SC6LM8m3TORi8HVgHXAOuaUGf+PE+wa3afzPXhJnEm+WC2G3P/JdMPJgHs4I +8kY3TuTosnEX+Jjnf948YBtWGbui42DlE3kxn03O6OvcX9ZgpGNNjM88fEvA +fQB3Afh28ij8xz+DB7At4JR5tsmcxZm2afgSciacx75p1PPNC/mYf3qshlLE +esR8u63P6DVxzaKaiPnxvdDYAOae4PsJ1sF6wDPcB7Ju7k7BOONdj60Dm+Kj +O6XhQ/GlZ9qH4ksfSCOuJL5cUPA3Jz5z1CN7bCnrPWwbNdl2inznZM/FPJOM +gyebpr6N71+4hyHnQayNvPoWw1ZzL0fbiW6Pfq703hEHEC9gf5BBX8uBez1s +/UCX7DvfY9X7PzR1Y00jG/7T76htN3Ybf9fWOJbv8fjOZojjOc5V4/kqmObb +ulq34aE9PpSSerANccZY6+EgtznPOQruFLl/536c+3jsHP66gzHfANPwSO6k +o3N07Cf7SoyHbxngNvgf1nKL19TedAfTtGEO5sWeUt5gHsDvrB3dJqassq7y +ncIxf6vwmGV94k6+MnT1RMxWEzYem04cxjlBluwVe0YOEywKDR79sXMme32+ +SrYV5OrGOIbkfLLv2EjyNMs9DvqP3nIW1pRD17kDR8bImv3dYh+Jf4T3Jxxr +LzJNX+wT82KvsM397KfAoEXXn/DZlSG3K6wD2FW+W0EHqAODcxdf7/gcPAdG +4V5jtuP2OZYv/oaz2tpybu34EfraNHwZPo121OddtnEbZARv4IpWxqhgY/xS +T+MMbNl4x/5gauw0mJ5z1NO2nnHuNa4AjxFPYUtp29ntwX9g1MX2zwPsoxf/ +SyyFjDmDq+27yXFje4mPTrN9YE7m5vyynz3s38GwPV2/0ZgOPIgO9Tc2eNv4 +H3xEHgU8A82c/ZzrYSwwAz50pGl4eMc++lgp8j3wzPhdnVMAT4Iv+L6Ce71V +zjdw7pBRb/NJ7r3KeX5yJLPMXz/bH3QJrN3HsgXDLzBWhH/uhLiLAWPzjQl5 +GL4TbOZv9nr5jrWbccBAYyRkNdtyJwcGBm7Msy1sxF3ZyHWgJ9xBbXYeDTmR +ZwFPogfYCfAt9/DLbD/B+GB98k58k8r3Vf+Rhl0ZZNtCfoB8GeMwfzfzgPyQ +I+fxYefI59sHNve+dzNu59wfsMwbbcD57otdXWjcRU6iq/fl/wFt4M4I + "]], PolygonBox[CompressedData[" +1:eJwtlmdsl1UUxi+0hdL/vk1ETRSQJaIMC6ItigMRFSORuBiKgEopUFqhUIYg +fFCcoMaJJm5jQKMRNcpGlLKUoaLgoiVFpBTBROOg/p48fjh5z3nPuPfs22lc +5Q1TW4cQdgL5wB2ZELq1CaEkEcI9EUiHMBf8YEEIPeHVp0IYkxfCdOjZ8LdB +l0GPBO6CPoZ8A4bGYqsZfCD//igK4Rr4X+ZCGAV9HN7p7UIYDX4IWI79AmAY +eBMyJfD6Q/+E7Rz/2rQK4W3+RfAj8K/GVh/4ldB7udOvOPA4d/4WvBydSuTP +SIbQoziEU4DjyJ4A2oM3on8h+l2hx6M/H7oGX57jzvO47wRsDEW/K/buBN8C +vxbeLORXI78qGv8RnbuRrwTmQNdDd0c+wRm7Ew5mV3jbuc9AzquWPLr3pn3W +AegF2P4u5di8AF0Nf0ravNnYWAs9BxgLfRsyDcguhm4HPpB4PAjeizMb4c9D +fj30YPx+GWgPPNU2hE3YW8Z5PfDpU/A6bAxAvwqdL7IhnJNxbj9EfxG8g/x7 +D72+xLQB/BXsJPnfocA2K7nzjYUh3AxUY29cdCxXAFOR+xHol3AOlcta5Rd7 +JZw/S7FD5+l8x7w19uci8wj4s/ybA68fMs1Fjrlifxx7l2GvFHvN0P1VY/BP +4sNW6OehR8HfBXRGf2J0LSrmO9B9Ijq2P0PHtHOq3FYC74GHrHP5JOfNhP9u +xjz1gHphEfpXJFzDFdg7ANRBtyIWncn1zqxjeSX298D7DbgU/gDue5T7dQVa +EavB+N8FvIEzni2wD6OQfRsoyHOOh3PWv9i9T7lTT/CdEl07Q5HZi+xc6FJ4 +M7jfBxnHQLFQDJbBy6XtawJ/Hle9AWXw/uG8avT3IH97nm3Mg3c9MD3Pd1gB +P6/YZ22Dn1/sM3TWc+RwG75+jsz58P+B3wF+X+h31OvIdIe/OWWeek691wzd +Ouke/yU6ZoqdeuRneD8ALeAngY7wHoP3G7CS+DUmHIvjSeOKySfYmMm3Bv/q +8OU0dH5POCct8PKy7kXVWG3aNanaPMS/3vhyNfwz8OU28jEUvAT+Ku7/Kjnq +if5XKeeyCtgFv5l/HyWc0/vAs9GzqBf+VmBvFXdooldeRH81eL3qu8A1PFL5 +Sru2f1KPwp8EXIdsb+xvSrlmVbvqYfWyelC92BeYptrjDqdx3xagG7Ll6F9b +aBuToB8gNjcD+5HfJzvovMX3M/WEeh36BHfZhfx2dCuifRsM7IZ/DvE7N+mZ +OQbe5OjZNQT+1/DXQNdiazT8buqdjH0Zhr1yzp+CzRsKPQM1Cx+Ink2K6f2y +h40/i9xD6iXdQXfRTtFuqYC+vtBnVEDXRM9+5VS5beLftQWO8RHw3TnPwr+x +eSmyM6Cv5G4jsVGT88zX7FcMAviG6Nm4FJ9Owq/Cxk2FnmGaZWvT3mWaMZo1 +8km+KcaK9Wj1dJF7Vr17arF3iWpWtXsyOtbqCfVGVcp3U8+p97ZhY2G+bVwA +fTjtWaicXAi9hfyOgH6a/G4F36n85jlmF8NfAAzC1iu404juZdG9rB5WL/+Z +9e4bAf8P8EHRva8dfQn4enRman/gz2zwW4nNO8BRZAbwvxT8lqTxZv41gj+T +9OwZzr+AjfHkc75mjmIV/TbQHXXXmrRnp2Z4C7WxMukdpN2zmzOromtZO1u7 +eyH05Qn3lHprPDpd2njnjgPvk3Gvamdpd3VM2TfVQBm8ddG7UTFVbMuy7kXN +oFLws5HpQK2ciXwP8ANZ7z7ttHrw87E3XrsaGxPUy0nHQL5rxx3k35vwFmOv +Z8oxU+xUM9M4bx821rTyTtsP/qn2M/HJQ38jeKeU3z7fQq9E9+Ho2ZLE/4dU +K/D7go/g31TsPcq/emzVofMIeDnQU7Ncd0F/cdI5US6+T9gn+faXcpexjGS7 +wBuL7kUZ85TzdfBaF3uWawZrFtdlXWt6U20GP5N/Qzi7gRh2gp6I3ELgJXR+ +pc7Oy7h31GPnZhwTxUY7fgbnbQLy810jn4HfEX0XvbH01jqc86yRT5PU/1nv +EuVcua/n3xsJx/yv6Deg3oKbucM3nDU1+q2nnCl3R6LfJtJpin4T6G2gmjqR +co2qVpWTFnhb+dcNeg/x3qHZEf321MzT7JOvB5OenfJ5Y9q50xt1Q9qz9VDS +sdeMLY2ejdqZZeB3RteS3sCHsH9R9Fnq6btS3lHaVUeJZQm8W1PGtSO0K9bm +vDv0Zl4DPivnWaaYzgQ/mnVu9MZtAp/NvzGF3mHaZZoJmg2Hsdk7eqdotwxH +ZnLOO0O7QzvzY/hFOe9qvSHbaR7m/JZTTao2p6Vdm5rpmu2T07alGa1Zrd28 +RDFJeEcvBy8DVgfPlMHc6fS23lnaXR/AG5P0LFBcqnN+C0nmHvAhqsG29qk2 +5x2jXaN/V6m3o317H/5G8XPuNb2puoMnc+4t9VAKfGm0rHp0CfhZxX5b6M3b +CXwRdylPurZf5v/r4K8BW8P/PuT8dtPMPUY8/gP1S881 + "]]}]}, + {RGBColor[ + 0.7494840049999999, 0.7540049699999999, 0.7346438074999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFV0tsVGUUvtPemc60mTtzL48WqzFGAU3UjbSgK7HQ2q1JDUpVBHzwbMFA +obQUUp4xRAVBYusOBDbGRKzQWl6lvDoI6sqkLIiEhWzUwlLx+/w+wuLPf+bc +85//PL//zBOL215bXRYEQUMqCMqx30wHwf4wCDZj3c0GwT2sdRBoyAXBPKyX +IXQVvFbQo6Dfyon+p1w7f3+Cs6WczvPsXJ7D+hB3TGSlizT1kabMtTLJfw8b +LmK/gtUBPbWw5xGsXtB1lUEwgNUZ6vsY1gbQMXgJ1pSUePwWg55kPv15vEK/ +SZNH+kAof+banterguCV3EMe6Wr7Th5lcqArsc4Fspd+0qcq8yeXS75kv8jj +t0O4a0uo8zw7v1L0spRsu2d7jhdwN3T8nA+CJvAasSbwvSMKghMZHCwiDqCP +gP4LsiviIOjBuZWRfGMsmLt6/B6GTAbyqVDxP47jG8EfAr8c/H9j5etcojvG +Q/nL/JawqmHbtLR0MraXwLvs2JJfg9UdKk+MAeNzI5Qe1sabecn+Hil3X2HN +wmqF7Hmc3RcqxnMd34V53XkL8jvxbQfWYynZQpuokzHkb8ZtCfat4UPeNdtM +nS1V8oU1ybOsT36/bhnyfjKfOviNel5CTG/BtmcK+n7V8vsT5TME/9WictZc +VK3Sf/q+B3tZqHgzt9RHO9+BzKZQdct+Yt2w3pmTlM+yZyoct29zijVjV3KP +ML7UTT7PjCJWB2Hn8ljyrHna0mI9ze6vBVWK7WzHnvn6IhG/BnHegn0EevaG +qknWHmu4z712EvwLuOtLyKzBXdXYp6bl8x3sAc4Pgm5MRO/M61ydz9Y9uLdM +d5OeBNvqLUM+93rLt8Gm7dhXxaqXOvf7urTim2aMs/qdAf0H7vsGubhRVDwb +Kl3nsfqhEfxFWeWgMSXbSVPnu1l9I7/Funm2EzYcBH0W+1isOqhj/iPFKQA9 +Cj0Ls6rhKdiPoaeOZqR7kfPN3s89wISi8jcP+9lEdfc8amk5dHaxTnDPMtPT +we/KKGeMWTfoOZXiHc6oL2pC2bDP+R5xPJh3npvj2H4EvQtgz9pYsZ9tPv3b +FarP+hP5SF8vuY5YY0Oh8kJ55pg1S3xOu8YZqxWR8Ic4RGy45Do9naivVuH7 +vEr1OPtxfay4rYtlb9o2E4c2V6kPlmbV203g360QDhKfxuD7x1WyazDRPTMi +vQ9L3L/PIna38fu5gnLNOqbN72Wlt8m4sdTYQT8uGrtYz/STdViKhRVncM+V +WO/KLNC/JrLhl0RvCHHggN8j9mFsnCRNvUcTxe3TvGqatd0Omy8wPtAzmsiW +920P65fxYqzYR32u/37jJ2liJ8/udT/1u6dmFPR+n4LOy87HUKJa7PfZtZHy +3harh1gb7CvW7GLXbXcsuov4EMu2zZFySNvYZ+O2lXbyjWoydpAmjhD35vv9 +Ip/5azSfPcFv7IuJWDh1AHY+Fau3p8fCyAnPAwPI+w8Z9ekR9wDrn/vXWNch +82dB9KxI/XHY/MlZnalx3Pa63kYSYd957GdwZjf4L0LHb7Ew+hj48xPR5DF/ +zOPGot5Dvn98ZztivWcbYtUq/WRMJvwu0P4ez1PMUXtad/FdYz+zvwcC9XCL +eypjvGNvcO45avu5HzNNnTdtQ1NRNPP/QaSZ6EfYfiKvGJ8u6j3ju/Z0wdiQ +UV8PGcdZ881+1zrhy6mCZO5Ax/2C4r8+Ev4POBdlkB8EvQH8kxnR7C/ObCdN +b4qEs12x5g7yt4WaHRhDzhXDxk7ORZxxqJ8+/F2Qv7MjYSUx88lIb/tdx5l1 +yJizrtgr7PlOx4qxo876RL1c8pvS7zeJ2EEMITb3GlNrU7Kv13Sr51m+y+zd +bebPhK5y6JwRq/ZpD+ucujc518OJ51HIPMq6os2R3u0ey9BXxpT+EreI6byP ++u5ZJ7Gdd2U8p5SMdcS9LfaR7/N223bFc3GH35X/3xf3xU7LvJAIH4gTrEV+ +Y7/stgx5rK1u28nY7PDZ7kh42hPL1y7LEFOILWs8e/JdfFCz7EPquO45baux +v8X9yLpg3Wwzf4+xeWZBfrV5JtxlG0qeB5l3vhu3Hbcbfg/ZR6zfMdf5uL+R +vzpWvDjXcNbkfNea14w+7Dpkn7PfPwO/N9K39oLeDsa9yTPMkN8Lxmqa52HO +iJwVd+Q1AxxyjlbGyj1nN/pBG+jL/Vi4xPmCd1D+7aL6lv37XUFYO277+zwr +EVu4D5pmPCizzDVc6/9NxOwG43av64b2cK+1L6kq4cCQ80k7mdMKx426WRsH +XR/sM9Zto+fbqaYpv885ZQ1We1bkf67Y/7+63f/EvcT/e4gD7bH0c/6aGun/ +2OeJMPOWcXNXXrY2JbqHmN7s+Zm9w/uJEcSKvkT/Pfgmv+E5kZjLe+d4Fupy +jdBv1gnjzvi3FZSTEevvsM+M839NrN7z + "]], PolygonBox[CompressedData[" +1:eJwllElsjWEUhk9vr6t13f/e/0+rEhIRQy1YiLaGFaKttYQUlZiJoa1SHVRp +TBWxMJQGS1M3NsTQarWKRJpQ7AQhEQsWxi61ntdZnOSc733P+c53hm/qxuoV +VTEzW4PEkebAbGOO2XrkQGi2B7k0xqwNsBZsIXY+WE/CrER22uwk2Gc4i9Br +ODsWd58quA8jswbsQfmgt4BvRd+MtIBf5uxvttkL7Cvo28EPxD2Hg+D7se9x +111khPi7sA+BdxB/F3gfPkNwWzl7JP+U2fA4syljzZZnzIojj12QZbYWbBb+ +T/Ct5Kwe/wVIHnon8X8RvwB8GN8/yCSwTfjUwY/BmY7dRMwuFSppVhY5R9yV +2Pn4TsNOgGfDL0T/TsxrxL6BFIMXIgPEOwx/AP/x4E+xvyCz0WeG7iuOuLXY +FTmeg3K5DSePei1B7qBXpvxtqkEJ8bLJr5u7jpJDFf5NodeiHbsRfUfotWvG +3gF+Bv+XMX+T3tYQem3OYe9DfxJ5rmexR7GPqx7wh+GUgi3DJwZ2GilFf83Z +KfiD5JCHfUGcXPdpR3+KtCa9B+qFwbmf8BnZhv2WO7rjHuMN3MfIulyfkX70 +zsjvVs431XvyWQxWAf9i5DOiWVHMeuJlEf9BwmvSGHhOyu0g0gv3VcprqZ5P +5u5vKceakR7wsozX7hP5lqP/THsvNTOanQ/EHOIZ1zn7AfYOuyzLZ3YUuyhw +TDOgWfiITzLXe3ifuzYj5fC7wGMZ3wntxhbNP757At+9DqQm9J3Ubm7Qfgbe +Y/VaO1dI/IbAY+nNevtq4ofEfw5/HvU5j6xKes1UO4u8t+rJM/TeyN+qHdtJ +rPmB74Z2Xrs/I+2zox3VrjaHnoverLfPBf+Gfxbx2og/I/Td0U5oN+qQtTk+ +85r93YHvrv6Ew2DVnF2Ne41UK82UZks7sBe7P/Ba6M/pQy+P/C7NzP/Zifyt +msmuyHuoXt6iv1+1/2n/q2qQHvz3IS1Jn7ER/OekfRd1JuwXZ0tzvWYTsBMZ +//uU4xH9RaH3Sj1UL/UH6C+Qj3y1Q9olvXk/+vuM53KX0hfBL4r8b1SP1mBP +DHyWtTO/4Z9I+V+jmqq2/wCGusDs + "]]}]}, + {RGBColor[0.799195625, 0.80307423, 0.7779198425], EdgeForm[ + None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJw1lUloVEEQhjuTTJYJb2bew3E/mLMJKEyMCYEYl3jSATFuRzEaHcdE3MBD +IgguCO5bLh70oB70ogdRFNSrW/QmuBw1HtQEolFE6+MvD033667+66+/qvo1 +bR5YsysVQrhuo9rGxziEYm0IA7kQrtWEMNvGVFUIX+17lq2L2RDa60PYa+NW +jeZ9Nm7bekldCHtsHRnQyySESoNh2ry+MYQH6RDGqmXLnZnmdL+Nz7b3y/Dn +Z4SPr3l23mVYB+x8qfFpsu8em8sNuvPUeF5xvA+2flwvHM4mYu3PNJ7L/S4Y +p2P5HIpCWBwrtu852X52nB2Gf7RR+OMeP7YF47bTzprte9y+P5l9AR1i6dNm +67V10oNYwIMTmCW/SyyDpusTYq/VwAbOYFz12M/F0uhULD7bG6Tts0Tz8ax0 +uub2nPc3yHfZ/L4yvJ9VyhF7rOGPpnDYXSv+cENj9melNDf5mlx11yiOFbHi +7jK/LRnlmPz2GJ91tj6Yl123x868oF7rPzb3ms1QStj4AIv6OlEnDeBPnGiO +LTpylzO0+V0lvF7fH4sU50PLz6Tt/7AxXK3zde4LDM6IHc22uz7swQkbeGN/ +JtJd9rmXqZZ23N1ksXfYekOsXD3xnPZ7XuCMbYfX8/SstKVG0Bp9yVGrxdJW +p1gKbjMnVgzE8sU4DEfSvpBTLXB/yjWcdG70Tbv7Ig/gc4fYOIczmtEn+IrN +b2e9Yup0nqyxJwb0pDbLHsscr+0ZWflCO2wP2/cjw6rNC7/f7envnb5enRHv +345Z8X6Zlld+Xifq8cs2RlOqb+r8jM1vEuXxbSwMsP73C/WK5n1p3aX20POq +v03fTK9TdvY+K78Fv0utsYYDPV1xnq8ivR3nzefcWPijtjfi3OB4KZENtvci +1Svv4rZG1SI1jk7YwK2SFj+4dXiO0Jk4Ss6HvkXPs4bzKCdN0Kbf3zRyQX81 +Z5TXSa9rcnoyLTx6uy+v3G91Xctugx/8lT2frMnF3Zx0vJMTDjUBFprxjpAL +dCv5XTQYcZ2L/k6Bk0rUp88T9cFjf8cW5tRPRyNxH3ENSzn5WhWJd8Z5cnfQ +c/rDa5v73G1xv4e8F5bF6gfW7E1kVfsbY71H5PZFIs7oTyylSPm4n9U79jej +fFEvrR4Lb8+gx4Z+W9LieCwSF2Jq9XeW/x51CdeV5uuC/88u2rwiEf4Ru7co +q3ps9/8PvnkX6fui+wVvvtd/MZLfd3nFzj79PuI1gA78SyteV/Qf/Gf7f7bF +64T/GZqgzY1ENXoz0VmzY/4D6PADLw== + "]], PolygonBox[CompressedData[" +1:eJwlkbkvRGEUxW/GmzcPeWPeK2zRaEWhGCYRBWGoRCKxFgoxJMQWUWhMIWFC +woy102hoNBRCwj9gCSqFXmgshZLfzS1ucpdzznfud2tHZ3tnIiJSRzjEmi+y +TKM/JtIZihQR08X0S0XW4yIVxFuRyLwrUhOIjCREUmAbqefKRGaJpGs9nVWC +fwd/GBU5QKvgm3YfscS8HY0q3qv1RDrI98EMlBrnh7oJfAbuNNFD3sX81zOP +Oeo76kn8nWL+lvyD3hTcLHGNl6fQcuU8k3cG9lY9+HRgHtRLA708XAfOVdQ8 +7IG/Yb4Rs50umCfZpwruFphPsDnqBbitYDJg+6lbqAPwPWWmqdoT6B2j1+3b +bBP+K9iT0GZtaL7gZ5Bo9kxDtfTP9e91xwjY+9C8600eyFfR+ysxz+pdb6C3 +uCZW4qap2opJg7+M21+qZ/V+phzXdtRdd0O7ld64nPmjb7dWzDnYL+LIsT9o +ZD6esN31hlmwQ7xXGbEdhskLxKJnvTx5Ck61YxrfaL3CH4vazd7huwnzrpgm +sNuB3VY1dsj/ATkaViM= + "]]}]}, + {RGBColor[ + 0.8904356666666666, 0.8937706666666665, 0.8579414999999999], + EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" +1:eJxFUTtLw2AUPU0fBkpjv4wOEXVKQ1YHO4nVoRAKDkUdFR1109G1Ovn4FyLo +7OwgWBXdBdf+C+/hXHEI3835bs4rS/sn28cRgFV76vbkDeDFhh+bs5rmZ5sL +wxci4aMO8Mlv7Jw2gQe/O42BtRbw6O/k4v6kDcx877AL3Ns5SYCh8S/WtHNn +92PXJn7gdyuxNEq7uw3Amb3fBPH96ZCLnE+J9MlF7SiV5qXh63PAa1N734ky +Veb/Ksj3tZ3TVF7fUn1PHvqhFnWpx+/J0/OZJ7sg1m+pJ/rueXb6pn/6JFY0 +/rsdevZxouw7QbmJfxm+GZR/KwirHKcP5syd+6KtnPSaOedoXpzkpq/lWF6Y +qR/rbi9o3g3yVXqfg6D9DTs/UvG/p+qROvVUHnLfJzbzjOyh8F4qz5J5H+yF +XdEn9fkPzjv6N0dd+Sy9o18kIE8b + "]], PolygonBox[CompressedData[" +1:eJwlj71OAnEQxCfnnV5ixPtf8AGUmhfgCqKCnSGhIGhJAiV02KElV+HHWxgT +rK3pPCU+hjUvwG+zxSQzu7M7u+ejWX8aSaqDGHzVpA/IH7x3Iv3k0vJYWlOL +4L+gRFeJ1MZbgv/EPRW91yA9pF6z3gr9GXvtDf4C5qnXrLfD8463dSgtyLsF +G7IH9Hun0g2eBv4m+iq4x7y24xn9hC7Q3+w4wz/JpMsj/2Gc+YzNXuDvwK+D +c5ux2WHwrILaPfwg91/tx23uP9qvdkOX/l1wr91st1umZVvmI/v2XYgqbA== + + "]]}]}}, {{}, {}, + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3382, 3407, 3770, 3720, 4197, 4198, 3455, 3861, + 3456, 4419, 4420, 4418, 4422, 4421, 3647, 4814, 4815, 4611, + 3722, 4610, 4813, 4812, 3721, 4498, 4499, 4495, 4497, 4496, + 3454, 3827, 4441, 4442, 4440, 3670, 3919, 3405, 3805}]}, + "0.885`"], + Annotation[#, 0.885, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3380, 4317, 3562, 4029, 3563, 4030, 4116, 4818, + 4819, 4570, 4679, 3464, 3889, 3463, 4678, 4218, 3473, 4217, + 3472, 4776, 4777, 4569, 4677, 3462, 3844, 4757, 4758, 4595, + 3608, 4759, 3536, 4756, 3606, 4594, 3605, 4379, 3607, 4380, + 3537, 4020, 4019, 4287, 3512, 4576, 3951, 4190, 3952, 3715, + 4102, 3638, 4409, 3639, 4082, 4408, 4081, 3637, 4079, 3636, + 4080, 3806}]}, + "0.8260000000000001`"], + Annotation[#, 0.8260000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVz8kyQ0EYhuEOW/MdqBBUYWOoYmve2hlWqJJERiJzcB9ciXlKqgyXYMd1 +4DmLt97+vv67T5/hvfxmLhZCqCHZG8L6QAgbqA/qsGq9hkR/CPdDIRz1QZ/h +DLedSXNaTnGKR80muSU3ucENbvIX/9kv8y9XOLj/kG/df4d3c7O87e5v/RbP +yG/6G75GQr/k3DJWcGLvGPtmR3gUcYwhEdn8i3Ov+JNPo+9ad9DGuFzRV1FC +OZpBjzdOYgql6M26Z/NPmNbFdZfWV/iwN8c73vCj3+V5+VP/yA/I6i/kMz7j +Fp/zgdku/1GVY1zjbs7xmO/kOWuuwDnumC9G/yznucgFrvMTHrHg3CImMI47 +3T9m3T/P + "]]}, + "0.767`"], + Annotation[#, 0.767, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3381, 3406, 4749, 4750, 4363, 4365, 4364, 3507, + 4747, 4748, 4545, 4651, 3379, 3404, 4743, 4744, 4592, 4746, + 4745, 3506, 4361, 4362, 4134, 4135, 3377, 3403, 4154, 4155, + 3946, 3947, 4624, 4626, 4625, 3416, 4296, 4297, 4295, 4299, + 4298, 3431, 4727, 3430, 4665, 4558, 3531, 4907}], + LineBox[CompressedData[" +1:eJwV0klvjlEYh/FT7MTQSgwbWsNCKyo2RIt2LyEsUdoqOmirRcxR/QKGL8CG +FQkJG7SJEkM6t3QgpZPSvm/flgixwO8srlz3/T/3eZ7zDFklNXur00IICUwt +DCF/QQgrkbU4hExMI4lbsv5FIQygD79lv1Agz0Se7KH9SSRwW/Y0PYRneIJm +NOGutRmkUBjvg0fqO2jBc+yT7c8I4QDG7Sni7CUhHOQKa2nqcl7PARPybv1f +fsWrZK95KS/DcgzFc/JqZOGtvt3533AHF3EX93Inv+NunnLNSvToJ52lQl0e +z+Wch7kYE/JSLkG1uVzvYhNemnmBLzgkH3G9UQxjHGNokCfsS2IUfzAWr48c +a6f5Eyfd4zOf0a9w/n88ol+jHub5vM59fppby1XW38dn029T52Fav5vv8ZD8 +Pu/RPzZ/Id5X3yMvUJ9UX+Y6LuRe+SW+GOc9W6uzt6FUXYIyc0ei43+AByhG +vflT6LJ/O1eZa4zvlPO5Uz6orlN38E3OcJ5ZeTrf0G/gnbwjfmf5qLnz6iZ5 +M77rU/IffFWeQgNm9dPyGb4Sv5PZXN6IFvl1voZa6x88y0cM4pzsbPye8Zvb +s1W9BW321OtzPFc2Gq3XxneFhLWa+P2xOb4LLsNXeav+qHoSx9Gu/yZv42Px +H+IT3M9T8gGe63vOwxyk4ny8FnahT58h/w/1HpoI + "]]}, + "0.7080000000000001`"], + Annotation[#, 0.7080000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV0Msug1EUhuFl5hDnGNG//TtyjBnTcgdKiVPbuAC9B1eBmcPECHMJQRwG +rkAolRgaGUho4ungzbu+tfdee2enW7XidltElDHdHZEZjEjwOxDRxB+q+kN6 +C+pT9XV/xKR6Cs89Eat8qf+hf8UV+ZY/5Rsuymdcl895Uf7Ck7M78kxvxCwu +5CW5wXe4xwke8YCatQPnDvFj1jEfYcLaqDzOY1yyr928ZV7nNbziBU3U8YYN +FPoiVuzrUFdQxiaGzXrnEjd4hKs8Z/88OtVdSPQTd2Y423qD96Sck3Occp6z +vG8tz9/ynnq39Yf+9R8XzzOm + "]], LineBox[CompressedData[" +1:eJwV0rlP1EEUwPEhEQ+SXY41XtEYBQtsNFELE69SQEjYqCwojVHAQv0DNCJY +KR6NsVFLL1C0UUGFCAISCw/wwuVQY7DGRrcw8TPFN9/33sx7M7/ZXXPoRPp4 +XghhDOPJEPaWhLAP34tDqOP9aEyEsDgVwqz4qjjH05jBUnmGe/mHnqfcIB/k +n/IBrpZf4yn5da6R5znrBpdzZVEIVdiD/MIQ5mOX+hJ5nTiDN/Ir+i9ysfol +LuEOLuILnOBCJPFJ/jEaH/AFnzHp/HHO8jLnbxNvR6182DlpHnXOkLgezWjC +MfVO+2vNzVlPc5d8Oa+Sr+Ad5uzEqP1/7H/FI3ih9kzeIj6KhLdM4q/+lXze +2gL1MvE6LEQBFsU91mb15/gX9/EAP+dBnuIJc74i6x67uQKbzKviSkyq33S/ +rLhbPKKvX99LHsYQJvDWnnfxuzCG9+iwr9usB+jCfdzDo/hWZpVbL9NbigL7 +f2MO59RP2nMK1ahBhdp63BbfwS2sdqdOTvFdzjdnHtrMbjMnI65HA9Za3xx7 +1bdwKRrVD+IA2tVfm9Ou9yz64nfGt8I3zKA1vok7TIu3ohc9uKx22rwzaMVD +bFQ7Yk4TDqMFzTF3Tk/8z+Of/Amn/FaPeQP/B0dRegc= + "]]}, + "0.649`"], + Annotation[#, 0.649, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV0T1Mk1EUh/HbBB0AbUsnWYBFHZUZGJwgcRHZYHJR0eDgR2HBARltBDVG +QOiHgEpNdDKRhQ2riyZWChOw2YKzMUH93eHJ0/O/95z3vG+7rtwaHEuEEB7h +6EQIP1MhNFDHE/UkP+X7/Jcf8HOe4jme5nAyhBdpNd9W38FddCdDGOcs7mHe ++aJ7D/VVYw+a2mT8nRf4B+f5GC9xlWu8xUU+ziWucYGL5pWwhALy2JYv8wpe +4hVW4295md/iNdbwBjvyil0/ow+96EHOno/jd8D5+D64IDuNhvMD1NFpl198 +ig85ZV67ue94g9/HWm+Z0xnP511397CPs+aV+bL8j/tD/FX9DRl9M+qJ+C2R +Rb/6d9yXn7k/y1fdu4br6Ig7YUTexf/4pvwGRjGgXjX7kt519QfP/8i5+N/g +i7N+WZJb5RfNaOFmDOv9JK8ggU2c8U7n8B/Hklhc + "]], + LineBox[{4646, 4133, 4360, 4359, 3495, 4257, 3496, 4258, + 4645, 4260, 3497, 4259, 3498, 4261, 4647, 4263, 3499, 4262, + 3500, 4264, 4648, 4649, 4266, 4267, 4265, 4269, 4268, 3372, + 4271, 4272, 4270, 4274, 4273, 3373, 4276, 4277, 4275, 4279, + 4278, 3374, 3809, 4358, 3592, 4357, 3593, 3769, 4908}]}, + "0.5900000000000001`"], + Annotation[#, 0.5900000000000001, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3367, 4245, 4246, 4147, 4345, 3395, 4346, 4247, + 4248, 4148, 4347, 3396, 4348, 4249, 4250, 4149, 4349, 3397, + 4350, 4251, 4252, 4150, 4351, 3398, 4352, 4253, 4254, 4151, + 4353, 3399, 4354, 4255, 4256, 4152, 4355, 4356, 3591, 4407, + 3635, 4181, 4182, 4183, 3838, 4084, 3645, 4083, 3646, + 4910}], LineBox[CompressedData[" +1:eJwNzTsvg2EYBuBHJJo4tFQi/SKt1OQw1eSwVpwGItGkFtReExNDJTWwaSWa +GCxGLGLwSyz2dq3R4hqu3M/pzVusne3XByKiQnc84pIr5phneSxiiob6mgUW +WTFLuM1E3FFmnVWzae7VLTbZYs0sT1tdzEY8yG0K6h05LEcYZcbdrD8e0xFP +ExEdWXCT59W+qv8zP5Rv+g/Zs1uSdZnzNuFd/+UuLXMyIxO5IXflHufuL2j6 +c1Aem51wxCk1unZDkxEp+v775dv8Rjbp2Ve8PeCFT/2z+Q8lb/4BrIwooQ== + + "]]}, + "0.531`"], + Annotation[#, 0.531, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV0LkuxGEUhvGjURkGsY0obImSBJegskVwAS7AXIBGQiwJxhIzZuzrPVgS +9CQ0bkFDZylI+P2LJ8857/m2fK1T2bHpsojIorwyolAVcZKKyPMp73B7TcRq +OuJMv8LnvMYd8nW+0Od4Exto05fs20UR+9hLzpEf8hEOknuQcsYxV3KHeV91 +RLd39HIP9/MwBtRdtRHz1jRa34R12bZZjvPcaXYvf+c7vsUVrnGJV/kN/6DC +WaP2fbs3o25GRv6l/8QHCuZp+QhPOH+Ix5P38CQP8i7nucjbXOKX5G3YQA7P +eMKbv1niZSyqF3DgTQ3uepT9qRd4h2fNClxv9iD7Vc/xFs8kf811Zi3Jf/M/ +b4dAEg== + "]]}, + "0.47200000000000003`"], + Annotation[#, 0.47200000000000003`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwV0Dsvg2EYxvGbRNomqs6EklhMqM2ERBgtSEgcBikjcdgZnI0MPoDZRuuT +GFkcJlq0i8Wvwz//97re537e53kH1rfntuoiYhMd6Yjnpog2zjZH9OLPc0E3 +xu04ykQcYwrZ1og+JJBECt3W9Ju7MnPTEnHNHfIiL8tLPCQPYwQ91n/Ya0T/ +zjkuWveIB9zJBW7kTk5zF0/zLM/wrrk97KMeq/q8foU3eI1ffaehLaLCJecs +40lfrd3J8xsvmJ3HLe7lHc47Ywqn9knwCSdr/6Z2fxzKGfse8CBXvZs0W+FR +XOICv5jQ/3AO5zjDF8b1RfMNKMnfKONF/sQ/VRI0iw== + "]]}, + "0.41300000000000003`"], + Annotation[#, 0.41300000000000003`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[CompressedData[" +1:eJwVzztOQlEQBuAx2hlfcNVEbdwCNhQiEBMp7C4m1lxqFGywsdAKFXQJbAK3 +oIVWPuIKdA0ENfGj+PLPzJlzH9vZaXoyExEpWwsR/aWIAQe88sbsYsSdHDqv +yXc+mDMvrETsUF+OOOLczp953nnCvroon+UL6+o1PtXX7t3Qo88tDfOHXERT +PukL6keZ6UfqRFb0VUqU2ePCe3Oe2/QNGQ127f7yw4SundS8Ze+bL47dTVgl +z7y9e+8ZyzO7Hdoc6uvOJ+5UqbBhb5Oy+orL6X/yD1wdKwA= + "]]}, + "0.35400000000000004`"], + Annotation[#, 0.35400000000000004`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3468, 4089, 3658, 3965, 4206, 4207, 3828, 4369, + 4370, 4058, 4060, 4059, 4092, 4067, 4068, 3948, 4175, 3445, + 3830, 3831, 4411, 4412, 4410, 3641, 3856, 3855, 3452, 4766, + 3642, 4599, 3643, 4767, 3603, 3841, 3680, 3876, 3679, 4487, + 3717, 4485, 3716, 4486, 3796, 4086, 4087, 4085, 4428, 4427, + 3650, 4424, 4426, 4425, 3857, 3833, 3446, 4177, 4176, 4401, + 4400, 3586, 4047, 4046, 3907, 3485, 3975, 4127}]}, + "0.29500000000000004`"], + Annotation[#, 0.29500000000000004`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3763, 4399, 3629, 4173, 4174, 3444, 3829, 3853, + 3854, 3754, 4530, 4531, 4527, 4529, 4528, 3450, 4484, 3451, + 4192, 4191, 3640, 4786, 4787, 4549, 4657, 3408, 4656, 4548, + 4785, 4784, 3564, 4565, 4674, 3449, 4774, 4423, 4367, 4368, + 4366, 4533, 4532, 4828, 3443, 4628, 4119, 4395, 4394, 4398, + 4397, 4396, 3962, 4598, 4205}]}, + "0.23600000000000002`"], + Annotation[#, 0.23600000000000002`, "Tooltip"]& ], + TagBox[ + TooltipBox[ + {GrayLevel[0], Opacity[0.5], CapForm["Butt"], + LineBox[{3578, 4003, 3508, 3920, 3921, 3922, 4024, 4023, + 4035, 3572, 4034, 3816, 3817, 3678, 4604, 3677, 4783, 3840, + 4676, 4675, 4566, 3649, 4773, 3771}]}, + "0.17700000000000002`"], + + Annotation[#, 0.17700000000000002`, + "Tooltip"]& ], {}, {}}}], {}}, + AspectRatio->1, + Axes->True, + AxesLabel->{ + FormBox[ + TagBox[ + TagBox["x", HoldForm], HoldForm], TraditionalForm], + FormBox[ + TagBox[ + TagBox["y", HoldForm], HoldForm], TraditionalForm]}, + AxesOrigin->{0., 0.}, + DisplayFunction->Identity, + FrameLabel->{{None, None}, {None, None}}, + FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines->{None, None}, + GridLinesStyle->Directive[ + GrayLevel[0.5, 0.4]], + + Method->{ + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, + "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "GridLinesInFront" -> True}, + PlotRange->{All, All}, + PlotRangeClipping->True, + PlotRangePadding->{{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.02], + Scaled[0.02]}}, + Ticks->{Automatic, Automatic}]}, + { + StyleBox["\<\"\[PartialD]MAJORITY(x, y, z)\"\>", + StripOnInput->False, + FontFamily->"Helvetica", + FontSize->11], + StyleBox["\<\"\[PartialD]MAJORITY(x, y, z)\"\>", + StripOnInput->False, + FontFamily->"Helvetica", + FontSize->11], + StyleBox["\<\"\[PartialD]MAJORITY(x, y, z)\"\>", + StripOnInput->False, + FontFamily->"Helvetica", + FontSize->11], + StyleBox["\<\"\[PartialD]MAJORITY(x, y, z)\"\>", + StripOnInput->False, + FontFamily->"Helvetica", + FontSize->11]} + }, + AutoDelete->False, + GridBoxDividers->{"Columns" -> { + GrayLevel[0.85], + GrayLevel[0.85], + GrayLevel[0.85], + GrayLevel[0.85], + GrayLevel[0.85]}, "Rows" -> {False, + GrayLevel[0.85]}}, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], + "Grid"]} + }, + AutoDelete->False, + GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], + "Grid"]], "Output", + CellChangeTimes->{ + 3.8880461105994377`*^9, {3.888046366426461*^9, 3.8880465486648273`*^9}, { + 3.888046623327117*^9, 3.888046649803405*^9}, 3.888046690043551*^9, { + 3.8880467323324614`*^9, 3.888046761235579*^9}, 3.888046807281926*^9, { + 3.8880468517742968`*^9, 3.888046888306178*^9}, 3.888046921236308*^9, + 3.888046967302293*^9, {3.8880470109097633`*^9, 3.888047033695797*^9}, + 3.888047107983111*^9, 3.888047138820861*^9, {3.888047504989699*^9, + 3.888047562694551*^9}, {3.8880476460099697`*^9, 3.88804773223479*^9}, { + 3.888048363590385*^9, 3.888048385401559*^9}, {3.888048421910665*^9, + 3.888048429504414*^9}, 3.888057407157927*^9, 3.888060663848489*^9, { + 3.8880607163527718`*^9, 3.8880607434990892`*^9}}, + CellLabel-> + "Out[1055]=",ExpressionUUID->"c0afbd84-a3a0-4a55-aab2-2ecd1f958211"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"Export", "[", + RowBox[{ + "\"\\"", ",", "majorityGates"}], "]"}]], "Input", + CellChangeTimes->{{3.888060758706683*^9, 3.888060765871122*^9}}, + CellLabel-> + "In[1056]:=",ExpressionUUID->"6686419b-2ea5-48bb-88a2-823ac1da08c7"], + +Cell[BoxData["\<\"/home/wright/coding/discrete-differentiable-networks/docs/\ +majority-gates.png\"\>"], "Output", + CellChangeTimes->{3.888060767488657*^9}, + CellLabel-> + "Out[1056]=",ExpressionUUID->"655b9f67-0e58-4efb-9650-8a7537761dac"] }, Open ]] }, Open ]], @@ -36251,187 +69365,217 @@ Cell[CellGroupData[{ Cell[60112, 1462, 967, 28, 29, "Input",ExpressionUUID->"27554494-5d2f-40cb-a3ee-c1049254622d"], Cell[61082, 1492, 151635, 2472, 186, "Output",ExpressionUUID->"d436f95d-f3bb-427e-bd89-741f2e39662a"] }, Open ]], +Cell[212732, 3967, 614, 14, 51, "Input",ExpressionUUID->"1e78ae71-60b0-46dd-b1c1-bf9d529b7a0d"], Cell[CellGroupData[{ -Cell[212754, 3969, 4882, 119, 200, "Input",ExpressionUUID->"4090d351-b333-4716-9ccb-32b913b90e5c"], -Cell[217639, 4090, 229338, 3963, 244, "Output",ExpressionUUID->"3e0e7be6-f942-4856-9482-954888c9561c"] +Cell[213371, 3985, 5962, 142, 261, "Input",ExpressionUUID->"4090d351-b333-4716-9ccb-32b913b90e5c"], +Cell[219336, 4129, 200474, 3457, 258, "Output",ExpressionUUID->"06b6c066-9840-464d-92d4-69a3191fa092"] }, Open ]], Cell[CellGroupData[{ -Cell[447014, 8058, 369, 8, 29, "Input",ExpressionUUID->"805f0b64-9f8a-41f4-a1f1-4af571d9de84"], -Cell[447386, 8068, 232, 4, 33, "Output",ExpressionUUID->"99b91004-b5a8-47ca-bbf3-1b6e5cc21b95"] +Cell[419847, 7591, 181, 3, 29, "Input",ExpressionUUID->"821d0ed8-e5d7-4566-af2e-e376fefd3342"], +Cell[420031, 7596, 9744, 208, 291, "Output",ExpressionUUID->"7e5bc6bb-2f08-4375-bbdc-17aac3b25077"] +}, Open ]], +Cell[CellGroupData[{ +Cell[429812, 7809, 369, 8, 29, "Input",ExpressionUUID->"805f0b64-9f8a-41f4-a1f1-4af571d9de84"], +Cell[430184, 7819, 232, 4, 33, "Output",ExpressionUUID->"99b91004-b5a8-47ca-bbf3-1b6e5cc21b95"] }, Open ]] }, Open ]], Cell[CellGroupData[{ -Cell[447667, 8078, 150, 3, 67, "Section",ExpressionUUID->"aae9c8ca-0191-436f-9977-a00ef17060bc"], -Cell[447820, 8083, 1349, 39, 190, "Input",ExpressionUUID->"22895057-e1d1-41c2-80b2-57dde1a50fb5"], +Cell[430465, 7829, 150, 3, 67, "Section",ExpressionUUID->"aae9c8ca-0191-436f-9977-a00ef17060bc"], +Cell[430618, 7834, 1349, 39, 190, "Input",ExpressionUUID->"22895057-e1d1-41c2-80b2-57dde1a50fb5"], Cell[CellGroupData[{ -Cell[449194, 8126, 562, 14, 29, "Input",ExpressionUUID->"b708a848-d1c8-47b2-9c1a-473efc8630eb"], -Cell[449759, 8142, 408, 9, 47, "Output",ExpressionUUID->"3e5a61ba-1080-4c8c-9a48-e8501a161912"] +Cell[431992, 7877, 562, 14, 29, "Input",ExpressionUUID->"b708a848-d1c8-47b2-9c1a-473efc8630eb"], +Cell[432557, 7893, 408, 9, 47, "Output",ExpressionUUID->"3e5a61ba-1080-4c8c-9a48-e8501a161912"] }, Open ]], Cell[CellGroupData[{ -Cell[450204, 8156, 537, 11, 29, "Input",ExpressionUUID->"caccb912-10d2-4737-85cf-ff531c529c38"], -Cell[450744, 8169, 1932, 59, 145, "Output",ExpressionUUID->"e52c61e5-e997-46d2-9261-1d88979553d4"] +Cell[433002, 7907, 537, 11, 29, "Input",ExpressionUUID->"caccb912-10d2-4737-85cf-ff531c529c38"], +Cell[433542, 7920, 1932, 59, 145, "Output",ExpressionUUID->"e52c61e5-e997-46d2-9261-1d88979553d4"] }, Open ]] }, Open ]], Cell[CellGroupData[{ -Cell[452725, 8234, 201, 4, 67, "Section",ExpressionUUID->"9d001fa3-9a05-45a7-9d23-42ce6167be0c"], -Cell[452929, 8240, 1675, 42, 116, "Input",ExpressionUUID->"63b0927e-1423-4230-8354-74ec73664aa1"], -Cell[CellGroupData[{ -Cell[454629, 8286, 575, 17, 29, "Input",ExpressionUUID->"01420a54-12d3-4669-a976-7589d241d8d7"], -Cell[455207, 8305, 572, 11, 47, "Output",ExpressionUUID->"9003b7f2-c593-4fd0-a920-439d2c506529"] -}, Open ]], +Cell[435523, 7985, 201, 4, 67, "Section",ExpressionUUID->"9d001fa3-9a05-45a7-9d23-42ce6167be0c"], +Cell[435727, 7991, 1675, 42, 116, "Input",ExpressionUUID->"63b0927e-1423-4230-8354-74ec73664aa1"], Cell[CellGroupData[{ -Cell[455816, 8321, 615, 17, 29, "Input",ExpressionUUID->"f8143155-353b-42cd-b265-1cbe4d8bf3ff"], -Cell[456434, 8340, 498, 11, 48, "Output",ExpressionUUID->"9b9c5e67-a5fa-4b59-96bb-a5796a8e2987"] +Cell[437427, 8037, 575, 17, 29, "Input",ExpressionUUID->"01420a54-12d3-4669-a976-7589d241d8d7"], +Cell[438005, 8056, 572, 11, 47, "Output",ExpressionUUID->"9003b7f2-c593-4fd0-a920-439d2c506529"] }, Open ]], Cell[CellGroupData[{ -Cell[456969, 8356, 613, 17, 29, "Input",ExpressionUUID->"70f15975-4515-4d40-b737-1d640abed03f"], -Cell[457585, 8375, 476, 11, 48, "Output",ExpressionUUID->"fe0751d6-4de1-4baa-ad59-640ae45b7ece"] +Cell[438614, 8072, 615, 17, 29, "Input",ExpressionUUID->"f8143155-353b-42cd-b265-1cbe4d8bf3ff"], +Cell[439232, 8091, 498, 11, 48, "Output",ExpressionUUID->"9b9c5e67-a5fa-4b59-96bb-a5796a8e2987"] }, Open ]], Cell[CellGroupData[{ -Cell[458098, 8391, 722, 17, 29, "Input",ExpressionUUID->"d4341366-564d-4f31-a0d3-1dfbd999a622"], -Cell[458823, 8410, 4680, 135, 171, "Output",ExpressionUUID->"eeacde09-4fb5-4eca-b87e-e7c3adaf8d5d"] +Cell[439767, 8107, 613, 17, 29, "Input",ExpressionUUID->"70f15975-4515-4d40-b737-1d640abed03f"], +Cell[440383, 8126, 476, 11, 48, "Output",ExpressionUUID->"fe0751d6-4de1-4baa-ad59-640ae45b7ece"] }, Open ]], Cell[CellGroupData[{ -Cell[463540, 8550, 642, 15, 29, "Input",ExpressionUUID->"472cbbf1-5926-42c7-9ef0-26d1f1f7d1b6"], -Cell[464185, 8567, 3808, 108, 119, "Output",ExpressionUUID->"46a0ed84-c476-4773-b9a3-798a581ae124"] +Cell[440896, 8142, 722, 17, 29, "Input",ExpressionUUID->"d4341366-564d-4f31-a0d3-1dfbd999a622"], +Cell[441621, 8161, 4680, 135, 171, "Output",ExpressionUUID->"eeacde09-4fb5-4eca-b87e-e7c3adaf8d5d"] }, Open ]], -Cell[468008, 8678, 341, 5, 35, "Text",ExpressionUUID->"010aa824-de6f-449b-900b-f1dca5d05adb"], Cell[CellGroupData[{ -Cell[468374, 8687, 700, 20, 29, "Input",ExpressionUUID->"26f47126-a4c5-4787-a11d-9dd432fdb3ef"], -Cell[469077, 8709, 308, 5, 33, "Output",ExpressionUUID->"fc54d27d-718c-4ecd-ab42-ec04fd741014"] +Cell[446338, 8301, 642, 15, 29, "Input",ExpressionUUID->"472cbbf1-5926-42c7-9ef0-26d1f1f7d1b6"], +Cell[446983, 8318, 3808, 108, 119, "Output",ExpressionUUID->"46a0ed84-c476-4773-b9a3-798a581ae124"] }, Open ]], +Cell[450806, 8429, 341, 5, 35, "Text",ExpressionUUID->"010aa824-de6f-449b-900b-f1dca5d05adb"], Cell[CellGroupData[{ -Cell[469422, 8719, 1119, 31, 29, "Input",ExpressionUUID->"18072b24-b2f9-4bfb-9ea8-b1301ef21e23"], -Cell[470544, 8752, 2002, 39, 338, "Output",ExpressionUUID->"393d52a1-31a4-45ac-8fa1-71fcc92ba871"] +Cell[451172, 8438, 700, 20, 29, "Input",ExpressionUUID->"26f47126-a4c5-4787-a11d-9dd432fdb3ef"], +Cell[451875, 8460, 308, 5, 33, "Output",ExpressionUUID->"fc54d27d-718c-4ecd-ab42-ec04fd741014"] }, Open ]], Cell[CellGroupData[{ -Cell[472583, 8796, 1057, 32, 29, "Input",ExpressionUUID->"20644229-b9cc-4ee6-ac34-775ab6c6b4de"], -Cell[473643, 8830, 1836, 38, 361, "Output",ExpressionUUID->"ab9535a8-78bb-42d4-b90b-eb0b95d72893"] +Cell[452220, 8470, 1119, 31, 29, "Input",ExpressionUUID->"18072b24-b2f9-4bfb-9ea8-b1301ef21e23"], +Cell[453342, 8503, 2002, 39, 338, "Output",ExpressionUUID->"393d52a1-31a4-45ac-8fa1-71fcc92ba871"] }, Open ]], Cell[CellGroupData[{ -Cell[475516, 8873, 2740, 71, 115, "Input",ExpressionUUID->"fa1bbf4c-38c7-4a93-bdfd-d8759f5fc390"], -Cell[478259, 8946, 210642, 3647, 244, "Output",ExpressionUUID->"d4e0e698-53bf-4766-b273-880fd78e75ff"] +Cell[455381, 8547, 3079, 76, 156, "Input",ExpressionUUID->"fa1bbf4c-38c7-4a93-bdfd-d8759f5fc390"], +Cell[458463, 8625, 211705, 3664, 281, "Output",ExpressionUUID->"05e955ca-121c-4b85-b5b3-77cf795c6b8a"] }, Open ]], Cell[CellGroupData[{ -Cell[688938, 12598, 321, 7, 29, "Input",ExpressionUUID->"ea7e77b3-102b-4f2c-bf63-5243a1e3563e"], -Cell[689262, 12607, 232, 4, 33, "Output",ExpressionUUID->"6df01414-c808-42b2-862c-d784b61b909d"] +Cell[670205, 12294, 321, 7, 29, "Input",ExpressionUUID->"ea7e77b3-102b-4f2c-bf63-5243a1e3563e"], +Cell[670529, 12303, 232, 4, 33, "Output",ExpressionUUID->"6df01414-c808-42b2-862c-d784b61b909d"] }, Open ]] }, Open ]], Cell[CellGroupData[{ -Cell[689543, 12617, 198, 4, 67, "Section",ExpressionUUID->"ecbfc1dc-1226-4fd6-8ae9-3eb4d7046417"], -Cell[689744, 12623, 1304, 38, 190, "Input",ExpressionUUID->"9acf8a22-c3d5-4f2b-b139-26e62cb20ce9"], +Cell[670810, 12313, 198, 4, 67, "Section",ExpressionUUID->"ecbfc1dc-1226-4fd6-8ae9-3eb4d7046417"], +Cell[671011, 12319, 1304, 38, 190, "Input",ExpressionUUID->"9acf8a22-c3d5-4f2b-b139-26e62cb20ce9"], Cell[CellGroupData[{ -Cell[691073, 12665, 457, 12, 29, "Input",ExpressionUUID->"cf8760a2-f1e4-4f71-aafa-9ae1073d0041"], -Cell[691533, 12679, 337, 8, 48, "Output",ExpressionUUID->"f9834aec-fdd4-4450-8f93-a6721003e5ba"] +Cell[672340, 12361, 457, 12, 29, "Input",ExpressionUUID->"cf8760a2-f1e4-4f71-aafa-9ae1073d0041"], +Cell[672800, 12375, 337, 8, 48, "Output",ExpressionUUID->"f9834aec-fdd4-4450-8f93-a6721003e5ba"] }, Open ]], Cell[CellGroupData[{ -Cell[691907, 12692, 386, 9, 29, "Input",ExpressionUUID->"eeedfba2-7110-4292-8326-a30cc8db93a7"], -Cell[692296, 12703, 1859, 58, 145, "Output",ExpressionUUID->"fb084e5c-4c14-4eeb-86cf-fb7e19c7f64d"] +Cell[673174, 12388, 386, 9, 29, "Input",ExpressionUUID->"eeedfba2-7110-4292-8326-a30cc8db93a7"], +Cell[673563, 12399, 1859, 58, 145, "Output",ExpressionUUID->"fb084e5c-4c14-4eeb-86cf-fb7e19c7f64d"] }, Open ]] }, Open ]], Cell[CellGroupData[{ -Cell[694204, 12767, 247, 4, 67, "Section",ExpressionUUID->"f6f41491-9ba0-4ac4-9212-66ffb62e74c2"], -Cell[694454, 12773, 1499, 40, 116, "Input",ExpressionUUID->"7e80ece4-73c0-48c2-aead-66a01af51155"], +Cell[675471, 12463, 247, 4, 67, "Section",ExpressionUUID->"f6f41491-9ba0-4ac4-9212-66ffb62e74c2"], +Cell[675721, 12469, 1499, 40, 116, "Input",ExpressionUUID->"7e80ece4-73c0-48c2-aead-66a01af51155"], Cell[CellGroupData[{ -Cell[695978, 12817, 618, 17, 29, "Input",ExpressionUUID->"06b1f54c-39c2-45af-9119-086937f3ff22"], -Cell[696599, 12836, 355, 7, 48, "Output",ExpressionUUID->"6d4584eb-85c3-475d-b249-976b7184a2dc"] +Cell[677245, 12513, 618, 17, 29, "Input",ExpressionUUID->"06b1f54c-39c2-45af-9119-086937f3ff22"], +Cell[677866, 12532, 355, 7, 48, "Output",ExpressionUUID->"6d4584eb-85c3-475d-b249-976b7184a2dc"] }, Open ]], Cell[CellGroupData[{ -Cell[696991, 12848, 656, 17, 29, "Input",ExpressionUUID->"bbbcf283-feeb-4018-be79-956830d340bd"], -Cell[697650, 12867, 379, 9, 49, "Output",ExpressionUUID->"e6d7d0cc-0538-465d-afa3-325a7ea9d664"] +Cell[678258, 12544, 656, 17, 29, "Input",ExpressionUUID->"bbbcf283-feeb-4018-be79-956830d340bd"], +Cell[678917, 12563, 379, 9, 49, "Output",ExpressionUUID->"e6d7d0cc-0538-465d-afa3-325a7ea9d664"] }, Open ]], Cell[CellGroupData[{ -Cell[698066, 12881, 654, 17, 29, "Input",ExpressionUUID->"71f37cfa-981b-40e5-a0d8-fa74a7eec67a"], -Cell[698723, 12900, 354, 8, 49, "Output",ExpressionUUID->"1bb20ed2-55c8-4373-915f-76acf184d84a"] +Cell[679333, 12577, 654, 17, 29, "Input",ExpressionUUID->"71f37cfa-981b-40e5-a0d8-fa74a7eec67a"], +Cell[679990, 12596, 354, 8, 49, "Output",ExpressionUUID->"1bb20ed2-55c8-4373-915f-76acf184d84a"] }, Open ]], Cell[CellGroupData[{ -Cell[699114, 12913, 433, 10, 29, "Input",ExpressionUUID->"ee399cf7-6108-4634-8c8a-57cecc449dca"], -Cell[699550, 12925, 3917, 117, 145, "Output",ExpressionUUID->"9323c79e-d618-4f67-94d6-c8574f2b049b"] +Cell[680381, 12609, 433, 10, 29, "Input",ExpressionUUID->"ee399cf7-6108-4634-8c8a-57cecc449dca"], +Cell[680817, 12621, 3917, 117, 145, "Output",ExpressionUUID->"9323c79e-d618-4f67-94d6-c8574f2b049b"] }, Open ]], Cell[CellGroupData[{ -Cell[703504, 13047, 355, 8, 29, "Input",ExpressionUUID->"fdaf3a05-03b7-4f3d-93ab-0ab35ed7d368"], -Cell[703862, 13057, 3335, 99, 119, "Output",ExpressionUUID->"46acf535-5b79-46d7-b12d-60f829e69e5f"] +Cell[684771, 12743, 355, 8, 29, "Input",ExpressionUUID->"fdaf3a05-03b7-4f3d-93ab-0ab35ed7d368"], +Cell[685129, 12753, 3335, 99, 119, "Output",ExpressionUUID->"46acf535-5b79-46d7-b12d-60f829e69e5f"] }, Open ]], -Cell[707212, 13159, 245, 4, 35, "Text",ExpressionUUID->"4cd6585f-4582-4207-97b3-fd61d0222d49"], +Cell[688479, 12855, 245, 4, 35, "Text",ExpressionUUID->"4cd6585f-4582-4207-97b3-fd61d0222d49"], Cell[CellGroupData[{ -Cell[707482, 13167, 1064, 30, 29, "Input",ExpressionUUID->"0fed3588-9948-4295-8866-b6cc4c9afeac"], -Cell[708549, 13199, 1851, 36, 338, "Output",ExpressionUUID->"ef95a981-1be9-4bf0-8a03-30d7e9a378a0"] +Cell[688749, 12863, 1064, 30, 29, "Input",ExpressionUUID->"0fed3588-9948-4295-8866-b6cc4c9afeac"], +Cell[689816, 12895, 1851, 36, 338, "Output",ExpressionUUID->"ef95a981-1be9-4bf0-8a03-30d7e9a378a0"] }, Open ]], Cell[CellGroupData[{ -Cell[710437, 13240, 2654, 68, 117, "Input",ExpressionUUID->"369ed30d-1130-482c-8a48-d10d19130428"], -Cell[713094, 13310, 205876, 3581, 226, "Output",ExpressionUUID->"31a00c43-326a-4880-8e1b-72ee0dfa92ed"] +Cell[691704, 12936, 2993, 73, 158, "Input",ExpressionUUID->"369ed30d-1130-482c-8a48-d10d19130428"], +Cell[694700, 13011, 206914, 3598, 240, "Output",ExpressionUUID->"fb575fb6-0ea0-4264-97bb-1b15ca353d37"] }, Open ]] }, Open ]], Cell[CellGroupData[{ -Cell[919019, 16897, 301, 5, 67, "Section",ExpressionUUID->"08d7ae6b-0058-465e-9ea0-e74ff879f4c9"], -Cell[919323, 16904, 413, 11, 29, "Input",ExpressionUUID->"1e450851-7f18-4882-80dc-72864ff1825b"], -Cell[919739, 16917, 349, 9, 29, "Input",ExpressionUUID->"feed4e75-024e-498d-9b6a-b3dc2b4b8324"], +Cell[901663, 16615, 301, 5, 67, "Section",ExpressionUUID->"08d7ae6b-0058-465e-9ea0-e74ff879f4c9"], +Cell[901967, 16622, 413, 11, 29, "Input",ExpressionUUID->"1e450851-7f18-4882-80dc-72864ff1825b"], +Cell[902383, 16635, 349, 9, 29, "Input",ExpressionUUID->"feed4e75-024e-498d-9b6a-b3dc2b4b8324"], Cell[CellGroupData[{ -Cell[920113, 16930, 456, 13, 29, "Input",ExpressionUUID->"95b224d9-5f9f-4624-90e0-7346d96f9785"], -Cell[920572, 16945, 363, 9, 48, "Output",ExpressionUUID->"115f6b57-d08d-4506-ba81-4327af00c4e5"] +Cell[902757, 16648, 456, 13, 29, "Input",ExpressionUUID->"95b224d9-5f9f-4624-90e0-7346d96f9785"], +Cell[903216, 16663, 363, 9, 48, "Output",ExpressionUUID->"115f6b57-d08d-4506-ba81-4327af00c4e5"] }, Open ]], Cell[CellGroupData[{ -Cell[920972, 16959, 395, 10, 29, "Input",ExpressionUUID->"c81dbb03-8f38-4b82-b876-02b9784aedad"], -Cell[921370, 16971, 1869, 58, 145, "Output",ExpressionUUID->"81c62b9d-f44f-4932-b262-32b066c47509"] +Cell[903616, 16677, 395, 10, 29, "Input",ExpressionUUID->"c81dbb03-8f38-4b82-b876-02b9784aedad"], +Cell[904014, 16689, 1869, 58, 145, "Output",ExpressionUUID->"81c62b9d-f44f-4932-b262-32b066c47509"] }, Open ]], Cell[CellGroupData[{ -Cell[923276, 17034, 422, 11, 29, "Input",ExpressionUUID->"46317eaf-a9d8-46b1-8125-7624a334afb9"], -Cell[923701, 17047, 1831, 58, 145, "Output",ExpressionUUID->"5a4852db-99b5-478f-8fab-ac3a4e740c23"] +Cell[905920, 16752, 422, 11, 29, "Input",ExpressionUUID->"46317eaf-a9d8-46b1-8125-7624a334afb9"], +Cell[906345, 16765, 1831, 58, 145, "Output",ExpressionUUID->"5a4852db-99b5-478f-8fab-ac3a4e740c23"] }, Open ]], Cell[CellGroupData[{ -Cell[925569, 17110, 2710, 71, 138, "Input",ExpressionUUID->"9c3d75a5-6f6b-428a-ab36-b4310252f443"], -Cell[928282, 17183, 195732, 3406, 226, "Output",ExpressionUUID->"c3b91e04-bb87-4fb0-857d-3c7cdc7e99d0"] +Cell[908213, 16828, 3046, 76, 158, "Input",ExpressionUUID->"9c3d75a5-6f6b-428a-ab36-b4310252f443"], +Cell[911262, 16906, 196785, 3425, 240, "Output",ExpressionUUID->"233e23c6-23d9-4919-8961-a83799100c69"] }, Open ]], Cell[CellGroupData[{ -Cell[1124051, 20594, 1930, 47, 92, "Input",ExpressionUUID->"fd14bacd-dcf1-4542-8962-7b9ff7627e9f"], -Cell[1125984, 20643, 871153, 15117, 461, "Output",ExpressionUUID->"9fa0f4d7-295f-46f5-ba72-ee0eb961aece"] +Cell[1108084, 20336, 1931, 47, 92, "Input",ExpressionUUID->"fd14bacd-dcf1-4542-8962-7b9ff7627e9f"], +Cell[1110018, 20385, 834153, 14420, 475, "Output",ExpressionUUID->"1b3c9668-5c40-4ae6-b1fa-030505706f96"] }, Open ]], Cell[CellGroupData[{ -Cell[1997174, 35765, 378, 8, 29, "Input",ExpressionUUID->"ee322603-0e21-4680-8326-d8847371a35b"], -Cell[1997555, 35775, 427, 7, 33, "Output",ExpressionUUID->"e081bf19-2164-4c30-95bd-ef3945ad846a"] +Cell[1944208, 34810, 379, 8, 29, "Input",ExpressionUUID->"ee322603-0e21-4680-8326-d8847371a35b"], +Cell[1944590, 34820, 478, 8, 47, "Output",ExpressionUUID->"9e3e1c96-3585-457d-920a-4534e0737657"] }, Open ]], Cell[CellGroupData[{ -Cell[1998019, 35787, 439, 12, 29, "Input",ExpressionUUID->"6117421c-1725-4a44-a308-4c6ee35079fa"], -Cell[1998461, 35801, 2860, 83, 51, "Output",ExpressionUUID->"6d79502e-1b30-48ce-ae82-85f0106dedfe"] +Cell[1945105, 34833, 439, 12, 29, "Input",ExpressionUUID->"6117421c-1725-4a44-a308-4c6ee35079fa"], +Cell[1945547, 34847, 2860, 83, 51, "Output",ExpressionUUID->"6d79502e-1b30-48ce-ae82-85f0106dedfe"] }, Open ]], Cell[CellGroupData[{ -Cell[2001358, 35889, 529, 16, 29, "Input",ExpressionUUID->"0180a005-2b55-4374-98ff-72ffa5f3ea39"], -Cell[2001890, 35907, 229, 5, 33, "Output",ExpressionUUID->"f39b3814-7e7d-4667-905d-452e2fc08221"] +Cell[1948444, 34935, 529, 16, 29, "Input",ExpressionUUID->"0180a005-2b55-4374-98ff-72ffa5f3ea39"], +Cell[1948976, 34953, 229, 5, 33, "Output",ExpressionUUID->"f39b3814-7e7d-4667-905d-452e2fc08221"] }, Open ]] }, Open ]], Cell[CellGroupData[{ -Cell[2002168, 35918, 304, 5, 67, "Section",ExpressionUUID->"a2621df0-19eb-4035-9863-1066a5a6bf87"], -Cell[2002475, 35925, 415, 10, 29, "Input",ExpressionUUID->"437e01ba-cd55-49ca-a556-5d88d6fc10bb"], -Cell[2002893, 35937, 390, 10, 29, "Input",ExpressionUUID->"b7a31ca1-15c0-40a5-9f4e-43284320dd04"], +Cell[1949254, 34964, 304, 5, 67, "Section",ExpressionUUID->"a2621df0-19eb-4035-9863-1066a5a6bf87"], +Cell[1949561, 34971, 419, 11, 29, "Input",ExpressionUUID->"437e01ba-cd55-49ca-a556-5d88d6fc10bb"], +Cell[1949983, 34984, 394, 11, 29, "Input",ExpressionUUID->"b7a31ca1-15c0-40a5-9f4e-43284320dd04"], +Cell[CellGroupData[{ +Cell[1950402, 34999, 682, 18, 29, "Input",ExpressionUUID->"4f3dcd3c-2373-40af-a787-50388713cf17"], +Cell[1951087, 35019, 413, 8, 33, "Output",ExpressionUUID->"a8038646-1c43-4eec-ace2-e78a8be8c543"] +}, Open ]], +Cell[1951515, 35030, 637, 16, 29, "Input",ExpressionUUID->"bb6986dd-8362-42aa-aad5-333d0c1082e6"], +Cell[CellGroupData[{ +Cell[1952177, 35050, 857, 23, 29, "Input",ExpressionUUID->"7db43080-9ab1-4290-93db-c9b56436514c"], +Cell[1953037, 35075, 399, 9, 33, "Output",ExpressionUUID->"c47d160e-5c90-438f-a466-18f435bea302"] +}, Open ]], +Cell[1953451, 35087, 1389, 34, 174, "Input",ExpressionUUID->"bb6002fe-d7c3-4fb1-a29a-118c82683476"], +Cell[1954843, 35123, 271, 7, 29, "Input",ExpressionUUID->"f35bb5a9-adef-4180-b999-b1afb70800d2"], +Cell[CellGroupData[{ +Cell[1955139, 35134, 353, 8, 29, "Input",ExpressionUUID->"e532dacd-01fb-468d-ae36-06efd08543a8"], +Cell[1955495, 35144, 261, 4, 33, "Output",ExpressionUUID->"e4c0a4f9-ff7f-4f52-a27c-93c43ec4f1dd"] +}, Open ]], +Cell[CellGroupData[{ +Cell[1955793, 35153, 303, 7, 29, "Input",ExpressionUUID->"f3e6d89f-052f-497d-8b0a-0ec2990e0a13"], +Cell[1956099, 35162, 223, 4, 33, "Output",ExpressionUUID->"2d307b55-7609-490a-9af5-4e54a2a569cc"] +}, Open ]], +Cell[CellGroupData[{ +Cell[1956359, 35171, 296, 7, 29, "Input",ExpressionUUID->"c241e109-42ef-4883-b6e8-1780ec6b05b4"], +Cell[1956658, 35180, 911, 29, 48, "Output",ExpressionUUID->"30562a08-f10a-4064-8bdf-13b5e7a0d3e6"] +}, Open ]], +Cell[CellGroupData[{ +Cell[1957606, 35214, 286, 7, 29, "Input",ExpressionUUID->"695be992-d8e1-4769-86a8-0093a6d8b346"], +Cell[1957895, 35223, 355, 10, 33, "Output",ExpressionUUID->"aa31231e-db61-4915-9446-35337be2205f"] +}, Open ]], +Cell[CellGroupData[{ +Cell[1958287, 35238, 323, 7, 29, "Input",ExpressionUUID->"1be66b8a-99a5-4e44-985e-4dacc4aa2a33"], +Cell[1958613, 35247, 1457, 34, 55, "Output",ExpressionUUID->"1b995784-a0f9-4f3d-837f-bd82892cdeca"] +}, Open ]], +Cell[1960085, 35284, 557, 15, 29, "Input",ExpressionUUID->"cc2c456d-b941-4577-bfb5-c25955c618e8"], Cell[CellGroupData[{ -Cell[2003308, 35951, 678, 17, 29, "Input",ExpressionUUID->"4f3dcd3c-2373-40af-a787-50388713cf17"], -Cell[2003989, 35970, 387, 7, 33, "Output",ExpressionUUID->"e4057dd4-a9e2-4aaa-8ac6-b08504a7724c"] +Cell[1960667, 35303, 1930, 40, 71, "Input",ExpressionUUID->"320c8c52-548b-4a5b-b26c-b01a6184fbad"], +Cell[1962600, 35345, 568112, 9547, 216, "Output",ExpressionUUID->"fdd520b4-54d2-47db-a3bb-60a0345fce65"] }, Open ]], -Cell[2004391, 35980, 633, 15, 29, "Input",ExpressionUUID->"bb6986dd-8362-42aa-aad5-333d0c1082e6"], Cell[CellGroupData[{ -Cell[2005049, 35999, 853, 22, 29, "Input",ExpressionUUID->"7db43080-9ab1-4290-93db-c9b56436514c"], -Cell[2005905, 36023, 369, 7, 33, "Output",ExpressionUUID->"9044b04f-0dd0-464d-a640-547c7893b1b8"] +Cell[2530749, 44897, 233, 4, 29, "Input",ExpressionUUID->"402f6e45-15c7-493b-bdc6-858b5fc3059f"], +Cell[2530985, 44903, 9670, 207, 268, "Output",ExpressionUUID->"551956ee-31cb-4e27-bfe8-22dd059f98a1"] }, Open ]], -Cell[2006289, 36033, 1389, 34, 174, "Input",ExpressionUUID->"bb6002fe-d7c3-4fb1-a29a-118c82683476"], -Cell[2007681, 36069, 245, 6, 29, "Input",ExpressionUUID->"f35bb5a9-adef-4180-b999-b1afb70800d2"], Cell[CellGroupData[{ -Cell[2007951, 36079, 349, 7, 29, "Input",ExpressionUUID->"e532dacd-01fb-468d-ae36-06efd08543a8"], -Cell[2008303, 36088, 232, 3, 33, "Output",ExpressionUUID->"89a8937a-f452-4dbb-97c6-f1d90d5bd7fb"] +Cell[2540692, 45115, 1650, 36, 75, "Input",ExpressionUUID->"966cfbde-64c9-4792-87b8-9118c5bc822a"], +Cell[2542345, 45153, 413397, 7044, 216, "Output",ExpressionUUID->"f7cd6842-bfb4-4589-8325-4f6fe7366874"] }, Open ]], Cell[CellGroupData[{ -Cell[2008572, 36096, 299, 6, 29, "Input",ExpressionUUID->"f3e6d89f-052f-497d-8b0a-0ec2990e0a13"], -Cell[2008874, 36104, 193, 2, 33, "Output",ExpressionUUID->"11fde88c-3680-487f-8cc8-8ce3898463ec"] +Cell[2955779, 52202, 2510, 61, 121, "Input",ExpressionUUID->"4bab5f58-da39-471f-9c77-42da382ab853"], +Cell[2958292, 52265, 1007694, 16977, 468, "Output",ExpressionUUID->"c0afbd84-a3a0-4a55-aab2-2ecd1f958211"] }, Open ]], Cell[CellGroupData[{ -Cell[2009104, 36111, 292, 6, 29, "Input",ExpressionUUID->"c241e109-42ef-4883-b6e8-1780ec6b05b4"], -Cell[2009399, 36119, 882, 27, 48, "Output",ExpressionUUID->"50eb511a-9847-42a4-8494-fee60ba8c6be"] +Cell[3966023, 69247, 332, 7, 29, "Input",ExpressionUUID->"6686419b-2ea5-48bb-88a2-823ac1da08c7"], +Cell[3966358, 69256, 239, 4, 96, "Output",ExpressionUUID->"655b9f67-0e58-4efb-9650-8a7537761dac"] }, Open ]] }, Open ]], Cell[CellGroupData[{ -Cell[2010330, 36152, 350, 6, 67, "Section",ExpressionUUID->"879d6753-9dbc-4031-a5f7-18742ca43f86"], +Cell[3966646, 69266, 350, 6, 67, "Section",ExpressionUUID->"879d6753-9dbc-4031-a5f7-18742ca43f86"], Cell[CellGroupData[{ -Cell[2010705, 36162, 336, 8, 29, "Input",ExpressionUUID->"c95211e6-c360-4289-bcdc-e287e518df22"], -Cell[2011044, 36172, 459, 13, 33, "Output",ExpressionUUID->"9ad462b9-141f-41b0-b6e2-46866aebb70f"] +Cell[3967021, 69276, 336, 8, 29, "Input",ExpressionUUID->"c95211e6-c360-4289-bcdc-e287e518df22"], +Cell[3967360, 69286, 459, 13, 33, "Output",ExpressionUUID->"9ad462b9-141f-41b0-b6e2-46866aebb70f"] }, Open ]] }, Open ]] }, Open ]] From dfd66461223bbf98a4fc4609188e1a0e3c44155e Mon Sep 17 00:00:00 2001 From: Ian Wright Date: Mon, 20 Mar 2023 19:46:16 +0000 Subject: [PATCH 061/128] more --- docs/db-net.png | Bin 34252 -> 34540 bytes docs/db.tex | 181 +++--- docs/majority-gates.png | Bin 0 -> 192547 bytes docs/margin-trick.png | Bin 0 -> 29935 bytes docs/proofs.nb | 1326 ++++++++++++++++++++++++++++++++++++++- 5 files changed, 1415 insertions(+), 92 deletions(-) create mode 100644 docs/majority-gates.png create mode 100644 docs/margin-trick.png diff --git a/docs/db-net.png b/docs/db-net.png index 234a52383c8c48098f72265a39da058da0904291..544599f9e4b2651df577682b05614adb6eeb4408 100644 GIT binary patch literal 34540 zcmeFZXH?V6_ct083nGFTm8;aI2&iu5X=QbGtd zbb?YMARr~Q01=R4C;=e^2no-`^ZWnKdDgn?xi9X0b=N&FT*u7JclPYrvuDp|f3}f# z^>1+<;y(m|K)AGTYu$aRO&F?BRnS}GGbige5is{?_G`*y zxNykHKdn@mo6{?Q9S}N58}}oXIN)Q{1OgXJaa7zb)~F`Q_{2nC&)%F?nj$HvJj>^g z4-b1X1+nfUzmnMY?%!$KRsFppN7P8MRUP;35R{PErv(g-={KufG>t4^eFI`JUJF0q zj$>@7ZMPpU+|Lz$`EkK+!yZ=CH6U%U-C&Vfi1iD}sZR%l4_A%4qWl^c^B%2Tpx51(<)PFu3x08Md_Oel9 z_s%|6Z_%x-V}&P!!M{q=fWmO*w@uiyONiwPA~%PN%jnd{~X=Q@4D+IPfp61ht!xo@rYs0r(5sj3_W zQXV1&QW}mQ$QP|WZs^$ezYRSmkrm`U{9gO*O1zOiM-|bt?h&Pd*1dfCf^F!XU%ZB3 z^rM!DqorqH0^@1{JDaPM&pDtwR>vjR%vjPujGKG%B*&&>)jXjit3Lyd6AZ83noSEwn^ztR zq>_(!XQ~h}LXC_K;$+ibdz= z=yP)!EJ|528~2}n)%;ffYWuPu$D{Bgf{SCed|hdZRX*Y4cYnejb37tqJ(^{4I~Oe) z-A683gp57LJ9Z98jpb-XuQYS3eNAL+FJLBt?F$TIY}9tv`wcu!X}n`?&O2Au<|sII z3n)LY38XFizLAF8Dp!zC3x$NUpCUR&)c%I;|VsFxN-r{HjmK<3UCHWQIE-Ov?99kl3K249Fr z-`R7Rr6X8$mH{j|5-KtJV~I(p^qjM43<@y4caJxON-*&agmIKOXBKae;6ql-;`2!m zx9$?zOo-a{d@j}+7s7Bavo!virr0wm_AeQ~9=#=CH@6Z3oRrc`YCmcV+fC;Ejw-J0 zSoYI++j(z-eY0}Nx}4hf^3*gTYS};_i%<7o!kiRqf-ekmA$L~s?jxtY>g}NS&@GEa zl5B$|b9##71LA#@`n4FGGOC`V#1r+t6)QhBBAgh!Tr)T7@HJhj-;*^`N-t3=&RU~e z@wXE>`W4k>d*wb6m0mx- zyitl>O;BVzF@8_G>Lze==tY&MS-~44kJjgVFSk#4)-8R`3fXQSH0ptaGqV^Rsvy6e z8>`yEvcKS&pj?)2LoaS^-G5=&LovK1IKx~0s8hP?Yd7YV(bGlQ+aKopKHTwdVmlx@ z%af$VffdRPJWQ|HL;aSm;nN`$vS}CCV@n$)6Ht6d_~p+k%Z?b{7=Nd}*WwoKLh<30 zp@XdNn{omF_NZ2tGGv2X;>&x=I{^-rtW&b@=>N$h-Z-91`L=uSw?okmQGFqKla#&t z;kSp6+X?zVxZ;(8e8cIaEF^QJr{J#Ed>zWHd=|r`{nqeGe0==*-OcG(M*Sh!^TxUp z(&j-FB!(p=!~mRK>vRRT#4MBSsBeBlxwm3*TO=t~Qc5vod^Ru@D|4*-)?V#LgltM7xT0|B zKHW;nbdm&X0^8$=_4!h>BpEAa!5@{EoVpLI?W}01&D{{|_sgN&BpFtDjyIkL=SGN0 z`>oTnS^SJ`YF&vRWkR^ZZD=`9q!xGnO`J2SkP z)2jPhc%Y|?@>#AOa-CVgXVOqZCcr4ghyVf+Wo<)cp13Cg#iu5_OkILfl9S!1ZbQ-b zR90_@sRP%u<7-b8kS5@dER!{a0kzi#shT?EhR7{-`m;Z3^mx-yAU$c!Vaw!Gh`fx{T92`6(*&CI#4ZH=wxpK zoz|;AsYzKl1)WPB{-lZiPaguIwrIc-mXJK$(~=+_BCN@=Y6*2pofks=j(qYzAF8?M z10#&J*olj$_;i7#_XK9rMX33NU4{;Wh zaKfFU341C(iguFKc$ck^4Em?ca=0~?%yKQP4PLYFk{GPF?~?tkydT9i&$`!C#H@R6VI?b5O%W1r7-mKR7W>Z->96$w15Q!|YUVN6Q;=@ic#Yi<9`n)GLFUd0=SjEEXxOnQJV0hYM=6 zuh;SsnEn1ya>BM6#@&U-Dn0jtX~C)P{o-NC)t4e}+U4K!DU4(jA1%(`Z_p#cUz3Bp zl%S=i|5L&Fpgb6P=zUdW($oAQV?G#mn-k&htG9CBJqxAm>wU~j z+p=glw~ZmA{Irm6e+l=FwaJMy`8DzP`#w%gi>EMR$UEnZLS98;p5-$?zw?)!H!C17x&zn5Kc>VyN*hq@*&PmN&Hq$F$dqp(X)U1BJZ#9ue(pE)kzxD0hy~XD( zStk{N;OFMb;dBwJO>-m*9M$BrF3j6kB6Bz=`l?lO!Qva;l-UcCTUPE<;UcMLisn?6 zB4#g1mc9zS8nOJgkh9lCe1BTCXhclG5bQiq_}073?l)@)gV0dELX2lL=>-sL7mt^GeqG!-OA~ld)9>RDnxfZB&p? z)9A*NG15N6&x|aQZJBlc_;sBFP|AVc5@!{BW=gGEO0}vHe(Q6~pHQUYV=bNxiSZhf zIb*Pu?7doXGOw|(63!_R(hZX$Ttl+Sx?cw)=5O3pIqcWc5&y2hGiZ3JAf-&u!Lb%! zAOlI*Y^xcXMnoz|=xdjfg_b29=bsw2BjBw%U1#NA9UE3U8z}l$N3@IRUmrc^$ELae z8sygF|1fp7U?8A}a$M-NX6%qkhL(0wx5f4w*^tbI^m7(GKQ^W$&katKq7z)y&j(AS zwRHR-iy*j`uYHq?5JHI}(sWabvd-b;jlt=>JKzg;K$NSsUmBL~`zb2g#_FUi;d`x= zuTz1EF+GF+)Op@&=klM+PkX5^vD5Mb=6p%!mZ)0W z4-fBSH!Z!XH_4;|L=?fHD07;uGbhTWH5j-Nd`dG{W@^3JGQIm%YGbxfg2j$Ob8;n` zP&+NZV>u^-Z1ogtE5!KZKk0O*t6l5(OMN*uia$7aDY{(Y&(tH?-i+5k-q4rPPn~aP z$i!!I=h*qiEU2%@P6>2z48B&srNNZXx}vX=glWYp(C*>~c4}z#n-|Ir)?R6~XJH8o zr>X)!S~iHoj!P+=S(3kHx@(K%&k~XC$Az`?P|dlw<@LX~F3qgA+*=F6 zaOSL~cbf@6AfH|L8m_ruH2X2)3V)7(n$y+7ylsA8Y4VF9Y?uMQ=glFmPlKvxk_f+H zt_SkSub(NuHe=I(K^)Af^|4^3~%PI7p6U8N2^vm3zkS!lS6LF&cULWec(VQgXWZqid&Bm6z2hPts>7^dM zubnb_EkG2I@412HZdvjAUeGLx< zk{&0{+4LRa8Qjp=c+XCqh#$%860!EW@5Yz-pPBDt>V^ke-(!$G=+ESOUQN_J`T*yL z2jeyz3VPr~5;Azz7{ts|nhkNagp}o5Mex02H}qkj8q_Ov8g{+L;_x3B-*`kePk*>BCmzgyPWAZtp@@WYf51_S3%9QSOde4^Q!Yre=25ZP!7EcQpqN<> zj?I@Gi)kaha|PaAdrv5u4DZU7oAG4e6*ts;Ob5r4yR%c?cvSciK7o zoR#f3k7hGN{uZoRn6S5w80C8TXTQLw&DLz8T)ZU5fQpQk%86R5@DpvRwo~~cI<-`D z`RCuH-+d5@DUa5LT2)pS+8a@TBP0+}s9h6VZ@LaFye$I+!@S z?n3C@Y&Z}9BY$Ea^?82GvUb5_Kw1kq0--z|S)M;fqp8btOJ|n2dX|LgkoOqj2TJkm zHKo^kDmYj)aJWdYOJkhS;t!SGZ+K%zmq+Y*?UI?Jp3|^cM7P9t zucSVwPJtz7h!THH5%sYAVe>g@>Z65l73pIiYjv(_xgE<-QVbD-ud8AX<_Pmpb4j`4 zSk4?gcMRbz*Ry;@tM<}Nih=sYY~cFUZj;mb^8$Ct$;<$LupHBK#;*GhX}BGBJ{A>n zvOo5LPDJISffRLu`PdQAoL>g)JYS$oPvD__Tx8YLd1jq?V5l(b?1x^n`|waCW02EW zb^JOV`~ZpH3pNH8Yw<|G;WJs#Shf@qO>irkaA38ufhNM6{|TYO&v%^}46^T%8r-o5 zjqlC^)4Xe0QC4OgHyG7tZf4F=YMeS4)o&hPE_Ig`{1Enl@e%zhVQ?GEaUWBfknxS8 zz@rP9Ew$*>Wkc2z^gajBqphC&We|C~J)56sAhGu{;0BjUwTgs5^WC3dA=gzaFFt-B z*)BdIx0(`}A|9jAd(M~}wC3}G!S8b1ZS5l>mGy$$L4<6iclbiDua*L66;Wf2HGiTY z_qAm&E65IuJgq12AV>c9*t2{QDg)x7x@`!0}&KXwm6{@N^v=w6yCwH8^J1^~a#4 zeb>3cF_wbv8v^+tsE@Gsm8liR34`Q5b4PQO9ydo0ArE+n*Y{Y>3pZ(}1{q;+lHEAc zl=jCUBLZ$?Kc2;kVH2K%S>KglFFZ~K5n_HdO(wKTZMVUY{v&$w`Xr z70*1BQy?armTYU!4W*jg2WVPTs{MzDklPr9xUYiTL`$^#lbDdUmKt&23x;l5Fz|s* zpdUzKF)x&!Qr*`=c{VSgI@FRPUW;eFLyk!U{e+SWY9gC;buX?aM#}1q@m=r$-#vDe z)iPCKUGnP%XC>H&cO4F3qU&a3+&Sdq#*`97B*CJ{+JPzrOyIo`5E3#N_8${+(|I|2 z)J?T?_PAS!98lkf-y<7c_PL-%(Z@ejmQ{?NK+B_#=T-iyFn$LVeD(^M402!oUqN@J z%D;kcu#A9DU<*R!UEJ-FKt2BBEsEkomx0Ele?NPSqk#?~Fl{O5tyJ(D5`<=@fVYt; zG~;(GO9OY&|JMd|cU=A#=N{Jd$C8T0!&3a4T86|YEc4laSD3{Kqt3Rq`(jU)qH^tMfo0B?!tssZoQW#6l0) zX->%Px`$n2d2ELfTr%}upGWg})NEH8635(LK#n#9(v+2-%$GPq-t~c= z?n%}vbzRF9c63?uD%TB-yKOkDry_mAXbXki#yfdbwUJ`{3BL*tV!DM38_W>Ez;#s~ z#0`TbV%6@?=TQBFPG6IccBd)I1_5A*<7xiWY$VPoPoL|+5rLDJ-3Av~*vu0{lrh@0 z>sUU!URt92c!2{Q_hh+xqK7X==?}|ai!WDlt7czJ;;h9E<{WAZ_v+@f@%MK1-&py} z4wcvyvfS8ule0^WI>^KYL(UN@T>420t^@PoK0PXmmSqpLr*5Q*L=+0LP|+*S-$bZ~ zkV7Bt@O3ThzpH+=!p$eBzprgK&AYi~(!fSm+wwM)-LP_+7@Ng?D?{$A`$*1DO7Nd&uMbYjH6#u^}P9vB$VgzBYFCW48o?*L!iS zZS&q8gV>H&x)FaRa^4iqs=gq8Fz3qDOS`=x?!zU_R%Q*`bume4>EOW83YW-e`==sN zXFlqtDtzhxBnS8+mj`n z7#|#Occk{voV{Sn2)bKhHYz*o{+ndt^@h2od6(%^0l(0ohKo? zQWcQY9xljW2GfI4ALKHXlPnT3b&x?Hs>HH})bR4PfUYL<*S-VC`9o{!DXaZZ#(^E^ z-q4PO>XTqy)i>tYc3U7Kvb=oF|Mb0I+|qiX)b}xfE5i>6Ji6{bWaT%qG?y9J?P-Jf z`C;U0XQDKxff{4I#BHd!b{E*|h*NkppX`xXrP<_1xvwrC0tk2WN+GIPM?hIRo9L*r z_Vv=plJ;Bi5!xmIz(vW$GBH=CB38a$>d}p-Kkn7y8=3ny_k(ig7xXIkro?_oz#AZ* zq*`&czrX)>JENS)JqFjh@?(DQXJq59E_P8EnQ~ePKCC*~W_9^s)u=bLjzQ;JK0>E1 zL4C*G1rG-jJ$?OA$i<2lCuE?cQ{dMK(u-+)W^#U2t-s^s6Z*&wY04}zcy*IXbi_`? zpYGOMl-l?f(4-~@$+wJ*wzFTl5s6amkt(kK?8$Ys&%c1ikz-W|1`eR5;P_}R!> zRJ2*Y_-N1U>VaZ|#b~@N>HMqWfbHGOrI=xjtUJptY}Xy{SRRJD@rCT!`PC^K{#L@E z`==o6V$oF^35moO8Dyz`R7am~T<^OR>G1Jfam_40eRP^*r9NP7G0?KY*)WGme#(AD zCA&v)t_UJx158MBCOiv*qvzdfb`s7KV6MzextnP>@1GQ^^Gq6NewU3U`plF}a~lZA zdX&4c6?XM&tciz=AvpEb1dWbHBvRvOgQ_?fgd zJ}7-E`)brKV{N8IRZX7V44&Y;MK|U{2qG4Lac5N$L-tr24-{KTU7P*VII`r&+)VU;m97BaEJPY3IHbB(Ex1ASZ}}!wiDlMx zSrAll$l;X*v<#bX&(YmC*`_!CwNa?p)1K9zx`zmJdEZuM?3%-7M4MLs_@)D~8i%#c zrg>!s$GkanD-5`W&Sj&|`DL36SAKmt(>#c_2nTsl0@~fZpBuXQWW)mM2`jbBc` zw(3aq^^B#@Gir<+;()s|76f2?g|jlHH#}7NY5(crxqCg8%3%|Cz)k0qX=QwJ;EzaavTm!iqCJ z|5RMxx|z2Z5|CJZvN&dv_xo&D>hoaQ$hjcrS=i(mnl;q3obVBANh~f#+=cmm_wuXc z7?{e-dx7Ux8cyUADnVj1?}S=Zx<7n7yyfG0Fi)?xNjylWh@q9)5%o4!`Mhh@S7ee3 z(#d}}BZ*j3>KbUA2thf)nzIwW6-vO6Qp+_AUW>V5^#h|GD!Vu}s|Rm=#LC|mpAu}` zBJbT$iWk7T_YMeks)SEOcU&e`82L}+J1jjllr*`B2@dupA5~?{ivmz(Yfiu^Yu69I z-l;kv)`ZxV*jeTwo(ZH4L^p3NnUB_81yU_)p6Qve5S7#SzGLS5cX;NEp76zI=MH*h)EQu@vv!;Wz3c z5f~>W#pVm|xWsObI**dL-;m4npC5a}9^hZy}jdO&M>9a7@UqV+N+3G8mZhxCgQ4)rH!L+nKf*($TP`;r8FF(F_ zR_Wf>ISB!~s>+VCI1}pYZIw`+^!r0yMzB3a9%yR;j348;6VV$zwup=I4_aN`qx{mW zp?uX_EK1VGY|mnc@n!byxV3P{&WhBE4xvmqyxYe)AA?9UxVrJpJta=HODYBu`+BDd!O-ok|e_;wD7hNQTT!;%e9P{?n7Rq7Xr?(x1zQ1)J&RZ{}f)MSH zty{bp7-uoWK8!x5612Ip2*B4`kJlRo2h8ABdjxFm-{~!P>M03fZ2Pjw?4IN=Mho3H zF=>B@v2O4d!raAp)LRGeelNSx@EJr5Ayeh1BY&EbyI@wqnWI3+A%|t0>E@8mDEdbm*M*-rrYaRXdxmXLr&q_dG9odpXYodJe8O05t*@)0yPvS*Q*b!9D{Et2-pu6NXL0WKA{K^8z@*h24XgQ!G`dpz1W zYb1oelr)@2-*qL`iZ{u$Tfv;WG2~kI%@L=pt^ny;e93OIe?H$Z0k)@p$U1Q5nssT{ zW#X`1t7jcZg@;|FEe!RDkCM#>L&T=HFJyVt;(Ghnm;PL$ z!ZruUYEI*g=9yo%)7PuAAZ`)0ScP~Z(m>|q9 zW~6n47XiK&0eoJpVNV%int^v6ULPnhg3h!QYGirM20=t{zk`{MGze--uGb&AAO7BQ8y#THW)QzevoXFbzbLMc$g$chRt|SzJu!ode@&CA+M(PmenG%?V|3aWY`Sb*&OuN5?uT>^eQR-y>dL zzM+VC4u=0W#{;>Yz&sDI&x8sZ31u$06K)r!XUb+L4|ok z3mxN<-&UU!&?`lcs&4#(+S1Zj_f<||Fo0a8G}A)X$VyW=4f#^VazZbE0hLOkTHF~& zJQn|i6?gk(;f`&PYhE;1y-5qKEe7XvlN=EL{-;pGDt<_ueAh}*zmCY;=>)PuI` zK*Vf*HUu}_A+ZnqzB}8UwApy!fO*x8VVxh94dNUn##4h)W2^hxr#MzRd&ca9eWt#R z?W<&#ErtZ9{kaslK;s_0m;_n4^=y-oIzDBQ^h&MElMeROqDoKFqwg#+dWpP*qsU-A zcYN;liotO?79bd8BqmFBHCOD`*fq^rywPzz(urX|^3s=ZSLB(A8^mUq4;m8bJT`L@KL5F(V6I z1+*L}L;Xg^Y9fTtszq9;_>*&I*o-gwHH8>j)D0~+EdFVmm-*;<@Db@F$Azcr%Ggac zqSF#DW2^4dq%bcAo%-r=K zkG`V%z$`oPkQZ=dm)VS;Vw7-*5cFjY8W$v)X#{xHtzJueU2`=RQ|Qp!JlxCZLT7%8|CY_ z$Ucjf=3iwQVwR)3S!rC^*Alt56$2{RZ`J}m(nUpBr>-Yz2N5N?f20gC_o40P3 z9C~VAtXp;A-k*iALh6}k9rApBJHya&`1@M&RJuVyzE%+9P~m9xCu}P5g$D)OlKu z{|nRkFXZ&j8(bg&<|_Uhb@>tvoYy~n6Qmx?>GEhke$l=6H;xCK`agYtBQyYZlX@bw zVsIGp>(BqK?~D!zAJ`2ov)4kA_K??n0803$ucQe8TmC`8>TmzMFAFjI7YYUtvw!#f zzemgfxSF3Ea|kfbD4GFUEr5G@QpU7I#L&9;F#w3eRRT8-vtHZ7w?sAmLETyfcDElG zRug4Znonc+6Qq>^jxgDd7fj4gOWX|D>RV}6oD=I95?fC9HXQa?ld;2djfUS6F14{o zYK84GPpCXjW5lf6;ABdD|6cL$RcI1oKnVIAaKH58`K~TE&?ZWP=^K*(kd7ZV>6JsQ zI}^X_rd^gUjlCVFD)m1IV5@))!y#LRlpf-}>psGQ)&jkV(uRs$tF3jMpM@;oT$s8b zO?%R4n~hBx6wsb8xf4JB4a->+3%<=aGF%1lWtfFWjkdqh;(e z3~t!c4Rz|N{wlP#T)-!>0ef;jklCF-9wXLd(@1-=xj6lH3CY-Q8GWHTonF2tR3`~M zroA*9NG@kRd<4ADk#Nu%Vm_+nIs$iMOn=~JD)ja!Lzw+?j`;ix9Uk%0I+O$ z@qSm}3^tw!V7ndy>@-?>g1(k}xt+1RmeipeYH|XJWE@S4XxMFY0D$9N*;!5leXiXN zB)7yy%_cLt_3}tR&!YbpKpwzxus{!cwbJks4 z?LJbrIK92GblUf4pBP<95)kZR5BC&N-h=;{1ZYOereXH*nY9tNFE|jLl(u9geLYgO zP#Ul?Hdawls#md2D-657@E9OC>HQzw2Lc!?DR|FzCFX)G>GX1~Pi#7(0pa;ZuX^BF zL0KeUCa>?$flo}U(f5X%6oXvRyO<9kvoL}O6lg_(;6WZ`31hk!PRUhbI{SeIT{VCn z`Di!TuYIIy`^Iw4XR_b3{ zPf1Wc2FhXf8^9w2y-iedhw^*cV92Fx zJ!#LK1Ob%KD*_j6uU~QOh+m14Dn3Z8baR?p%FpX1EDd3@Jb3nV@jnPOq|{MV)8c=w zvfiZFiB$0>#BwlgToD8>`6@98wS<=oCjkmzwh6GKQENjL92u3VJew-ogvewv=uV{E z*%h)%8(-|zAFnms#{qsj+IVY;h}>m(j3moBxC@HS;RXHDrHyz4=}T4NEQEomV?JIw z;Df%{3TXAOrA;oP%anX(hnG|~BKXZ2)$iu&L1yAJAR^-jl{SVQ%47ST&@HAE4bmq7 z6+grYtFfs9Pq0Yub1D=a+r1X0a*@Olx&xqZK8+yy>e^*>*O8n8y|@9+q8Au``G}C) zR^WNiq8s^OE@t6HPfwP;Fs(%c*l#gO#(l6t8+%}_9H-(KJN^;AwgTevQ3Tn{qpw_IMnJaFZQ#K$?Dg>L6Lij4E%A z-My-o9u)kfA(x_onZaYMwZV?)>DVTGvkn|F!&X@|G%0T^doH-#t_su--jDFuZj68L z_6Hhdz`TfS<8=45&1+F&>q`3|_rxB{SuRfU+M+)S$Yz1iNLmdKK|F7p{}%AAo}E^d zV%~dJJZF11VoR5>#4x?I%UwtGWZVu`@VXLwh+q(Bnxa>xo~c!hHFB;yV~NE7t7uvP zF`uo}lb30OUM#Yn1b(0+u}1i`OznJ5dhIH^DFsHE4BdM~WXno>zPuxy8}b8O|J5fy zQ`c4fX~&gjWL7N!cocR!%XbQp+l}J#g!B~!wsU-PkKPQyfUulhmm?MIX9OO4M=V_@ zDxqmh#jERM>T} z{-PlvOy2wZGk7l5FP;m*m98V_$7<=~N)*EeB3aL`-T7}sO}i0GHJ|D!$Xur?SCqCF zhg9E9;k6~e$^NT!89aS`x?ZMT)LCQtgR~q=d zfmIc;n>KX9$pfW60po5)vPHZTU5cc!L>JG}IP;-sw5S=r2Gry5VgkpiAN!KPwdz_0 zfDm4LJ{h*bSg1}2wO$k_#T{(S7J36jReTx(K~2kc4G6eLtbP5M*as;f@a><2*AYdY zujG;4T$k;rv6$>0GK1RLi6~|Zr=%Gbzc-s9N5Uu`*9P1Qg8jz4v(XlS$VMbBy1%Uf znU%X!tICv;NE%yo)9CES79pPUd>Vy0+@=zdo#5|)!Eal zR~80xJ*>E<2eG{0eLXf##+ zveuEbA9xUAxGW?l07&G{lkCSV$X*GTN=MBZKSj5hNBh^%iiA(DpX_1~Hg>kwpqRj4 zKiYjs5l7D~VgU#%p(<+%&ejV=0rk{R`daKQ%{N;`kRLWIyS?G_n3X>;EWRuI6TCcM z#8qty*m5pzf4t}q7W36;|Bv`OQ9sz@_N`|3agahlhIpH0YgO$G zP5&tjUfu?DJlZJF7fag$*}*F66Pz8+`dSA7hBm9i(&(`OYN{m5qz9tLjrSD&u^7T) z4kMU!1=swQsn%$Zr&U;v5^INgfP)jHP#y#tDJ^;*=ZWE35CZb& zplRsIAIl9cpQO;@XdI?-+cj+f6ee6vYjK^Z+$cyIL5`;?76p6C0g$@Vm7oJkR!R`> zs3YX?rywQ!ycJ{2yIr&g^5S*%NtrNH7&m&B4I|0syP9XR%qfd=_OE88AHDO=-C7f> z|FqmMFa}`Vv#ZH0RE$5^>dyLpW9yXiwmK?(Q<2LRpE8xgHGiEL*0=G z(WZ*h>!YkVQ3XIob)vtfqGk03G@^CR$@!u#QEC^8eUmXHqZ&{EGU8AK5`n1mbQLTa z2IJ13ZL2Kbdbk+_vCg^#cs`9W;u}sk~H91HD?>iZhy!o)DYegh{Qse6y3(e zW-T2qfb_>s{djADrHkvOKBzKDg4Ai1j6I@4^{@P4nDp-P{zGShOFx`lQ=wz3hH$gi zukrMF-}AtcV}*|*Q{tn~ATBz?9aTK%n?ii+Y)Gn?-)ul{aY1N(bL1$wvwair zN%AbSYf$~-Ry-k_57%oubwcUF8>flOu42x+tB8qBa=W7zi25Tna$CjW79ae_kLGE4 z?1J!N*+E#oFfW~@6b8XLN=`hNTu`X7o?jlX zbL#w+0$B+DsX#W??zy(6i_Pq)Y)U|Uu!_Sxhs6@=e{9Mr*qF?aXI{yk{75`nL!

yqDa%e)_6lLN)+v2e)@L>27D^n?d(!g=)d!ZGwz5h12>spqlE&tZ+FHS!5<;35@l zeEVN1R&d%iQ0WKCXLJtI7YCZft7O=QknoqQ4hCNb1J@h#Glcx_lhXHntXN4DBKl=z zcxU#+mhpb);L~)oan6$Jk3EoTfcgdQfaA6MV9~Q5Mjlvazqj&W4T-yNccO0pSw=UHqxZx%C+&&;22 zz2_W)ijx%!s(ta=^Jngl8WW85MluQrE^LOs?^O^c=9Ya{tajAetAXmxI{~cq5OtBP z0t#;XHZ)NZCffPdJz`0gap*Z!Vd^3)n>?bG7cWvr-)ej7KvP->--C4iwYfUIw3_h1 zO{h%OM9_r8Zzu4a*Pfzp(uMMTrW)B+d-OE3dnA2SA+K#%f^tyh$qctE6`tzv6G9ba zO||=hZ*2X}25_c=#;|j!;xGZJQv>M0`?s`}Yc~bmpn=re3z>C})cCes zaAm4sYhT1=-r+RkBJUF2a|&w#x-L~iKY|oVGW$gufK!CvRw4L_) zdd|cf^&SfX0XtB+wfLG;W_)3=;W1&MfOyJ9za-8|#Tfr&&6%KF;8BHma&6#FA@K}+ z{@W+<8dg2!QY4JG5MQ0}+CXXMSX%yeY-~8MtI8~>oBndnL>AQnDxSB~y=k@ULX`)T zjJ;zdl4PFX#wQvAiLlIRl{Ws`B0RoxZ0_fYieDN&=?UK@?Z&-3r9F6ywwhP3>g06R zYQ05_!ri+vVv-gzJ0xj*SN?}h!@_kQ$-P)++euULD{23L&`q$-SgF(SUN%Af(5X`J zCf0^yP9Xa}o74)Icy8s28q;Q830thW!-XwO3{)^6Y5rw-sIXNdMz!h4oei6$sc|(G zSISl$!`EUo@PKf|uIFTPd9nUL|I>R{v9q6Dt;?i_0*!v5wX)(5O0}ywTr`x|TDLwT zH4-yq7>iZa5CcM%hG{J*0h}e%m^Mg<8PuFOWWk&)SAwrUYaK2R7q=$9Y@c3|WBjqu z%KJCm_5T3E5-T*!ZIksZ76*VB-!=^ckStF~$+9ab5nm|ujMU)Kq#j|=^Iq+{_YrU| zIzfqZdyAGF=zMgWMtZ0I%xlMIZzy~y|NUeYa|{O1FNt*uPW@S}4gEI>4NymrGH!Bb zSj;uhV3>Ooxys^^S*?B4V-{+~?)*(^15I|#2+Z#>3uT|49Y9Xo90SOjfZT&GuXhKE z%+|aCaAZ49KwHo{z$=vT33rx7m9uYIacGp!d)mp8qJvOZQL&zNC-J-B zRASdG3;xLf#xrC#z$2-L7{jo8_i_TX84M^}=+k-9`^W8SB-4v@r`;PVK!W4qTa4oO zcF%gKlnJ$?klR^oWDX%Y`xd9K9O4mVzHLA7Om#wLBj>hh%UOUmJP=w7UpSAOEPP`l zCy^{tXfscuRwiXqwLi`!T|SY216u?v;c45e)5r-Na+mwz*W}d&z`x?<>jO;4SKn|p zYm_VUyP0aPeec`(QnqeeZ11kH-H(u_dI6?mpKQ-H>bybXHRUrq^XPy`P8YDmoAV?} z+>3tXsgORy-LoEj^OvkN7DzR_+``uh?~X5s1GI%63!VYJ7h+xmZYdv?OfZV22zQa7 zdyRA0`#xh!K_k-vRD@ROxKEK})Omi!0thF_y3V&tjlH52a`(f$D4^T_ioJXS5*nZV zct7Ob1!o5~$n8`7PN0JB+5i9Z|7Ud)Q1vYG9`2E#iu2SVT**@_hbdKzyBpNQo=8vj zAJn9nj-=-N*B$~CdRt7yT{o2n)rlgmC6bre2I*UQk$8K@x#Z1m%?8sEnEJXo5#KR* z>=odJzfcD(?=L7>y=yak#b?Bl1@+`NI;7%wzsHED;yWfTm!8K;_oQupk+Lw7?*=Dp zzsGq%YfViZJ{Q5CsI4A>}L)DvTG(y}KtM zF8IeG1NPn$*EwG3E?3T0)pBywZp!>=Q2)G}Ts+}E#Jr@M6!ic8*Xh_ujM zt|i zXLv(geLX0O(_uzpe{W##Q|n(jk;n&3Pr;(w5wwHG>({uu;)73XYI_ffm><^FuIL!* z9Iz1l@9}=ED4V?5Bvq#v!Jk%Yz11$B$&q8%_87msc4~uj;8m$-h zm0mQAE$L8P=`acVN9!-*ZgR;EE=5f-g*3Gv3u4B4gT`XSvD`U-^pZ1R)9)|-%o>?c zD_`QZ=cJ@k6J-L1;ceJFbub+H@c(Qv;Gcw0h z@kgB2c%TV=yutUt11xukyE0kMxF$>n(~+RQo;rX+)wCc~xr{<&A`ozD{ch5TZwz;i z10`|9TCF^|2F0VPjR|`~r*R~5gF2w58LjEVkn48e+V((xO%02<-j|mc>*y1!Q z$TOMod3LtoNjv&P=Dpa(=@d{!I7@RNrUs(ejoabrv-}Im%o1l(iu!$n<~Iq>bw75p zMaaEyOhAurjV?#dgrnc-j~Y+&yR%354Y{!$Q=Bf5%Lf)EI#C+`nsiXa{I(9~J*8Am z)B{+RTvWg1C`DI(r6cxmPT0?#uh_IeWo3&q<}Y=8f`e1tiX6ytC~r+375sA%GThj! zc+AfJG0%9jDW^{><5NqP12Jj8RGjl%g>DM(Wc6N9%lRMx?wrmBIeU226ms4AJeP4% z+~T!|Q-T;>dEL!C5p$){-ohS!$)d2I-*r>KWEWZcDORT{)*3Qpo|y4$KDoBlFi5Br zk*J_(%0X`|^%nbyK=<1_n!f>6?D+9hnt;Hzh102^2FdiwaQ|boeCB3mDowSodM8uL z{#SeN9o5v=wTs4rAXNqFP3h95g)RbO1gRn*NR=jCq=lv^y-Da@x{81l=@5FP1p(jF>l-z+$Y%di zoUb2_{mTAq!bmxLM5ONWuM(0b2OH!4lacBWS%f{8Jy)sB=*nx-T&qvbHyp8T8g(}g zYcuaIJ^Ma6sBNG4S?ZZGTos?1Z0+#%V`9GIE}6l*zmunvR_V2R4uevH;TP-^NP)Vk zzi+BHdzf=@{$cqejS;f1h@Bt5baDXz+?K%1-6O_qK zGzCyP7ZgNr8D@sTga2;io5pdOFvdik)0m46OezDu!SFoNyuUk$o8L8wJBXANYxETR zN~*l9DW5WARgnAix=QR}M~65y3p(*Gr4%kVeDkpYu&Qbz*T)*ISd@1&9&5-ksCcBO z+Py#`9jd zE!R=rb#uPfga}Nn+7sOYbb z$J_y;xL1WS_`>iyZUu2%LO9~_YjL-#@a)F|05Ot{Q6;=CX3&7D@4)FBx(<_0Z)q73 zZuX8h=YN{rf#kUlRKs(ITRIS_{>UBnN1VPLJu32L(8e2vzo}IqdC-sr@n1%}P@C#R z=3=#{)nYjPYr8Fy{R!dFoZS>@rH%VWk3Q*_BEp}>J-uJdY24I_e4zAep?IN-dM89F zf%i<|siaU?jE})rjdL`mSXraMpMBUolkYmAyW@UfsGG|*3bPo81*hIERgemzQQU95W!-s zC*&H1@937TylH!G;;$8jw)&F6l@M|lW|dgq*^a<>yw~;1O0@=ZI(}hcLmYRf^2DYB zHmfka4$Uq`g;#W5t=*Ute#bk%M{zaR3K6Pa_IDK-+S*>$c{kLJx~|fVT}_48kmPb2 zC?~l{icWX5Dpdtl-7xG=O{54~_BODsHh6HgX65s~5k4yM$?5?kblonFe?(_!T~;`3 zukO}QsA}oB~hV6gVPp+qogo?=`9rat~O>KIdWes-w*{3EtC) zo<{=urK+VW#dm>R2oq*)jX`BssLzpKXS5nags_h(eQKv5QtAKv+V0UQcV$VIiM(dy z6KQ9iJ7i1gjCm8`^)>z{9`AOZ&X z&Hje*-;lFcbFZk@aK1{|u_vj-v^%Hp4S(ro)MPf8>L63vIk|F?lZZ z*t%Lm;LwHNlXy4Cj-&!=o$02ulcHv6jfTd~_(#s1yzgCUI{DF&9W+f;wR8H*s$_n^ zS*f%*Xqmo#NhbqZq_5ETKRsWwiarslB^|aW_sui@G>~9HVJGbWhLxq}XN1lJ+V`3<-;SCE>=IO!e*X?i-e6Q5sO&jg>fe@q7n=a*tmPrq-sE!G)TV#85ZhOe2p5?5Kta!n@_&6&&gAvxY1?AQ*}%Ci*76W4wRisk|Vj;1K?7ytwi2Mml>~BeZQFRvDQ7 zF;NHo$(XH#qJ}r|hHa7lwf?i`#%a`Ruq`mxIJDF|_M0M4{eRr~eTlYU=)PfaVGasf z`uv2&;q9M(J~4LI`SN`|{5f^amBF9RyUu0&fBe0+Q#46#aM_)B=TRB3_O9=N0Lhj+;G2l8f*f>y`M z&MaD7?LfRV=l7@P)qAcV37@qAsUmckQ}qO9>e=^~6uSU~>`f#4g)48w`2+=@gWb>_ z|CLNjqn-vBw{$1&mw=Px!#5Y$A2W*EeKR3jIQSO_^PI?O0VF~s=;%Qo0?(h$4X|?$ ztN~=pfAKqk6dFKFh93cGw|k}^K$q_Ia0-R}1+sy*gYf*Ie2xFanE{Ui!!MqH@IMf5 z|DS&Fp{)RbQgcK#`-1_3Ye#cL6i_G$JzlHS%JuVb>%3_&KBfrdd^(yd?(d%5%@z3< z%nY900E8y;IGA1!U0Uu&hO!N+090=qBWpYTVCb{FrKBC$moQsmVol*>uN_Fx^rG) z%!HbfO+l`4E{LoR&>iK@0*c=oB(}(mRNk?2q{8tUKq3?-&xWq>G2QX~U68y6Pz&W; zW*fHv5*FEj%<5Oyo&-K=M5?4y8jH=$CmoJsZ~s!~Yz2-cA^!)|JepMl^KeSb{{K}k zD_(>@W~G!}6G{K}dvg*XA_HI)+jD6_BM1aCUhm;>>~*f1cyT!9F{IwtL zu1@(>0Hx3h53ebw8pk%1tjpf9@_Qt!BgMAVMh2dM)ZRG40{}-AmEPE9lz90*R^jN= z%+t1#`Tj4(XOfQNKbz^e+Hr_O<&SiN&j6(MNUuU^Rn@Nm%7|wFV*pFtQh(X|>|~z` z;GQ}tPelNj!l?ktFJl1b+OZBD#u4*v36Qa?&Wq&cN(mqas#yzQifk0~fa1yRwduOb6Sw)ZsRk<7?#~r(7bY6MHI>tRHhy1l4q^+x zZE3}Kn_ZRf_Hs}J`)$=PZ`es6=|zwX(Om9ORnl?v%e|eOd;20G)+w_^Wb-A0WF_j_Zf`sS_97NZ}VqCZ&D{@l?kT0o2$Zw)sBt#;r7H)R< z=Uy|3yBKGnodwvR@!jscNvR4;33?T?x>T39F#!A85z0=q1;A_Kc42`0V^)a| ze@T_D6(H(3kfmPU-#AfeYunUt&gqu)U(N}&i5)gJF=5LNpB)`}YFr{wW(d+tsmKD% z(7a=67~;`Iv;{D5#%!fS4lajuA3jbQ`G&;CKV@rcP8WSF}NpPy}i+Q>Lyvx+4!TMFWe zE{K{Yi~sAl`+HLI%{zplcj{EaO~3l6nvnA*v*%@3;}}cX05}bNXKNM^KA5QJym$Zz z8g`Gi`_$o%&%MedZHsM&+k@;S0IXT>7{J>VUJEL`mJN_XtC^dyfRL#9Q*fy1Ypc_s zO$irDP6&(5@g0bS-Xw$M71kUOASj%9+^4u+HGE%Z&;{@rtP>S9Nxtjf4XoPUUoAm! zYh_KZC}mDvJOK1g2O=hno$I({6_e13SJ33` zfa2zamEY`v|5me)fY6(|Yld!hZ)sXCV;^r;4QozFx6I4CHH**JZK%R$EXuG4rL?jY#&i6WUb#D4uA@MViS>Va; z#4D5N)F8J+{iod+HbB8(!cPdQ>Q;BW(NL4suKJZ%fOshHnZO%>BD&_7`Bm0*1E4lI z8-oxA-K=&On1e1|A!kDYY+$BH!D_?3=~{z{l!iIkzGr|ri~hr$fkYxr1v`z-<(;$z zSnWoglvlF13V$DFD)>X~rJ<5W`+%Hh;$x~R5O*#3m*jIb=KoP6tetKYJ z4Vz_VpOv9oqY$)6dS8+Tfs<}A372NQsJY`sxz$M1lCj#*PAMxc1Sf1O3{YUH^vDrq zF643tlCb;>{! z)QDKQu)Xo%&d(ilymVdI&3(d>rRjXna0k$^DaXpkdjYjWVw-qC&Y;KiT^rbhC~Z!{ z$GNsPS=42aP{IkxwEa7s-0!@pyNzdb_!=j#;51p)1w1VCW&w?7r|+09yWaHRLU-pU zFkA9PpL5ydh!NKS+%!!~vdJq*wZLi)F9qIf!aCVep{WJut_hxh@8~nju_tq_pI}&J1V9AOi9?oFv7t8>EXc6yxRh}Y+ zQAk65=lqQSJACgfT21)sW`0@(wXFf-3wB`6y*qDznm4 zX2oRFXQSt0*S4F9k$$+dNMCY17|V_KE)PweGi~XkGRWulK5LXz#f9@^ji(KKbK4N@ z^XmSFtxb`{2p(jjLzG~@u2+}Ao`@A>TC~&KX*0W*EqK-_J+sa9sK^<``Q-&D$zGEp zhvmn7`}cC`n!aq1%BmRPH>%e!-LNC%9&CT=vJO8xEm(>^B7*Bri#&wMwC(A`UKUn~ zInujRlNXx;VU6NKcu#g`dceC`To8ar3*xAE6&Xb=#SciL*o z;X1kiK%mK_g(UgH2#e#GBPwH0#B*(&czk0aQMwYJ~CRsr69Cfbc^ z7sXvtZuz(2^KW@+!+7!^FA!fD%z~VQ?_1HL_EC?m5aOPiRwiya zK?OtJ?u=r?hCEP#l(eo63@W{-Top#;PC2T+J!V)h?XSrwTvTr75YD_h&K><6=9jsy zp$;{3c*N+UWmP$v=RWZF;rqSf8|qeP;#rXGMHPZ{cjS!u6GpQ~3k7X=FAqG=`8Iu{ z|B$#4SAs#EJ>0(SktiN8ouNjMik2U$<%ve&7Yl=jz|zryQptJuupR@Cj%bIMj$Ai$jkH9GxaoS+G8TzM z-AE>v|*mAq-75mMlZU;frs1HTEczp zh;+QI3ZA&_?+{AxcgJ7HF3_$|W}Fq;Dae-(!y3b8?skW=ifJ5n&8ouE;~UkIbAGno zhA2!QPPR3&(-hA)&h*AN8l>SPi&R@z34CS(_$JQ46IV)CS5+9CI7D|q@Q)7&`88rM zm)x~%cWMvG$~PU($Vyn0|9~uUpn{ zA*zd@8zH54erzH4UHW8}GjJox;w^WC8wM_$rl|dQK`?CWtKXg!Ok>;ss>`dl*i~~A z{qm>4{zD5^x;(UrS?RUs9i5*Hi4ANi4L2`Ankh?VSX{G2u$!eiDK#E2x~|Ij*(r8^ zh3-&I_r&E~D`0W(tKx}!{*H;e35+KfE$^qK#gDJy?K_6Lv+nQ8OLcE99mjLRPp)C7 zu8?P9B8JvYk``A#j-|la)VCv_iMq_Ry=u(nfe~g~cMbxI>d2J~==cQ?tFBZF^s9a{ zzkT6z|G5-=)L>?BrK_LAP#e4^38XvA0piid@qTvV`UVor~Y^T3BOC8Nt7l9i$?((eZu@ilY_{Bo4#L+J*+1v~C~3)N#TSrzDO^?c@G(b#02eK zr&GJk(gMp8yO8z*Q_!lh+YnQb9?3gai$XeQ&9clcA$tuMO@yIyytt=^m5KZ8jJ@3S zv-`UGrRv+v$D1AJA)KIGN|(C591ZZCyY0gVwlKQf8tx`#&NJcY6SCg<2u?PcZr4Z5 zaf?%H_4Wkz-~K|%f?h5{)Q;(0Y_M7DEDftXP80*Y{#!==%SPeu8nXw+5MWTi0^OlD zxU&4#a_Eq8LV#R%s8m@-*NHtrs#{q1CP65g?Pg(_#sZr?K{9%u`_MgEYg>nT|7Ow@ zxZA6dufhPb?M|hb*>%Q!xQbkP{zO+5h%naIKOJ0vz{JJJ`2xNio`1I%Y?CHXC=KrK zetMz*w`x2AG*VZ>1zX(j_c5ly%=6e2z8vm<6Ay@6ECP$XuMazH>`EH+gJdFpMB7pW zq3Q^&>|-&2(ddQ;a(vkjp}xH2?S`P+Go{(g(y!*HhT;2~(1BYcb9q}!J;+{F{O|6i z8ks_A7E*Lm+Hem0sg1kLGGzPK$oy?tz;)qcoCOCX-ET15msbe5m)QGiZEL>Wj_c22<-=Yd1wa;5zFLjYZ;ShDp6P@i`Xx#?%CEdJuRR%^;>+K&J-O;=n#n_;$`*U zO6nRDl3nVg7&TtU0n%V{8P59-T@-JxbjA+X@@J(kwkJ)*krr`^$fenbs9A+#cAEQt zvy*>5wR4w|bBP|k(bSyYCA^UOWqKzoD=S-2(SJhG%(E4DCW&C|3Zh#acWCx|X;t}n z)W>srT-0RoCo})ZcomSKC!DP5DH5{1tt82-MOH!G7$u#^wB>D-QGz zygI&{Nq-l$M|&g5M&@e8qq7U#Y#2=(xA^S|;@xD!!(_cpCDJa*n4JX7PB;)qkUQ8s zlvt&px9Jy*TfSL1cJPH$ILnsjuq5umj?kBg8P`EEIN7!dZ^fJAx^CJ#>Y4ChC+aoyBE>=Js`ob5;nAF^XH23 zSpmfe&u zYu9_6RVDMc*43x{@(L-qGQ{Rf0y?Ys*{~OCuV7889@ATtl;r=N2;~BF^t@}|jV)`u z98rdLIr9aF@2=CJ{Pxd|i#8KjS3_#?7_y3ivrhL|KKZ>z<^4~Y#FPB`a|;gL2-xsV zDH{RB0=I+KhGbT;qbqRLUqTO8qK5XKdaUhd)!0n!;I&Ra?u-Y~0IXJrJ?ZQt{4{p( z>~xc=61!1}HGYOSt=YR1t#1(EWIrL(5lgZ-Q5iM3V8IL^PlYmoKq7B^4la94&Ox#-rW~p9~rpEYklVzIbkw z_e5L8VppDlD)lp=Vtq0P;3do4 z5Rb7^S;xj_vLgHbXAx@>V40(ZP1B?%IC_CuG+?LIxB|}RGlx0%_yxG#UM&a0Nvv1G zs6M%A{QlWm9%@}I+a5Dq`7C4L==7jC{iyF4YlU){-rjYu7{JAE`q$yMD;1rO83hb7 z&W6PHs}&TpV||zzPFG#vBhLyAfkA1}S#|MS|LS<~#O;Lq=7MYhph{|6ra#TF=wo2| zT9+117##7RRhGJf(gO^eCL6!N@VH>TWM#Pw#9br$HDNE&gig^kDjVgmI;sGpvv0Rg zkBn8s9ZxaF%D;A~Ml!*nHVd+-1HWqW_BeYNqY#4UNuuowpDiu;>4V=A_X$S`v))PE zYAIOW*oELt0u|`C+98MWV+%nT|GV4E+rpV2zMrj=ns00TNWDe>KvM`KdpzoqEx6Qq zZ4s=wez+ZsustU3obI=}RRkM2Fy%Xl7{I#YpW{wh54t7%S*@1w`^_E}djSAXKGyNM z-zoZT#!7oLs7?e~ydH$wXd4KSGsa>Ejtr|c75L!{fe5(N;rEm?AOAuh7sAPmv5?); z@xk}|-?X;-9gxUVt&^46*~Z@b!x$f7wE)+$QS7RV;#>2xHv_$1do_yFrqGN5gjYX` z0H2qI|6UoWdOl`;IlJU1_rou5he9R=ualZXNe)@>yCNaeVJKg$^@Qsr`c;OMGMZON zO}Y74)@!+v85dL2oTJq`T?#6!H4Qkb@Xu1q@mk%*?)gw4g(omzXP&AN-u@{G* zFEYS(q%j^I70c&}hX9W48TR#`03X)8|4jePd+Pq#Mv)%7M_L@2BT!Y^3T%t8| zjC-np_A+P1GQ|%crfP}Y=zjy6wVg%r;EWgSOlY7SS_6=$%bLGSkD_NKA}o60wy z@$dUY5!6K)1F1U43A?LFqul{WVyd3~&;zH4-oT~E>>f<$$#v7@-+D1;_kN%CCZ#u( z4qULOLz(%k zS5JgXK~+O~wR*KAnT1R=UWxz~|JaOo2-c6E!j-IseX!+#~Ta(BIMHKt_DJk$cH{`Gi5 z!Q0(~PEczIsBttS=2Y)>MZ0zeVs)Ew?e%*f=I@l*$@Zq9nUO3tzW&7qDJ%lbR+Q{p z{_lOh^3$|1>t`u={B|t5#W{|SF*E^*#UdWQ@Ec&(XO;5Q*fTOJgtMA^lBRee?JFxb zVc;_{w*FbMrmLL;Q;%D{h8(Fl`Mj8uhghOm9o16sbq|uDvD9!b}t#tdmexE+*dnNqOII` z9?9m{v*kv!IUhJ{;`rMf2KkSUqDOnSndF0L>UKVaTpGe=x;6&RM zVU&Qx8iEv0eyj1xX3rk+4+!(e!k+;P)#)#Kcg8ODxwNmk z-b*pHZPtS-vNIlG18R|Oy6 z#_j8Ph@X```V#kFjw(drCRXp~-R!&x4R_VYg$#F}n#4Rv=j@5ID`e>Ee6^0`lL0?= zmg|ZE4ZB@nh6VTqtHG{8@bV3C>2z*U*Ix-NAqNr7S8-)t8YHo$pBOt zuVW&)wi9fjwT`?%DXVM2BXGHClDyy!a5!2l%i`hZE>S zUb}B4@BVBzHQ5L$Mmm12JBs>xKuRQ%{nrVnhOizFZI9=;_%#NYe6!TpV*?@`=@ zTu2OEw)!pgR+Mv7r}?tX0JebykEsUP(A;yArnJ=d(|a%0@ABhN4Ct1V4)~=PhpoG!~-iD(IU*3&raE?5( zS6)y02*NzHoaWUVhaK>;rxw07a~y;eV5yIrj|Gj|9}ITtxSnE|GrXl?9I=^4p9!Dr zOh9E#maL zm;(YZ?XdU{zj4;}GY+1{TbVCP-sbysO78eEY8BxS;tDCh@`+RK$LTzFYtRsR8Im>c z&2pLOE)la&WER@8T=_!ZkHUjAh8$Nij@0|_EkpEPq@4b^?rS?tBZl)Otpn_7f(n99 z-R#*3*&fdzolD&u7xK-V33(IyP%;RR(V1xpnED7M{2}(#*UKRNv<`bVRHMz^}^6j*Fg@~MFZ_QTZ#ojI=5&YE6@0Zoe z7l4N7f2@nXv`UU;tl@ui)w2cs@!Bl4{My>Xss=-&8WnuQ2k}iX@j*m>2o@B2+_*a{q$g85MleRzZ~k&p_M%n!Z}5Xs$(+IN?y12HE)$ zyjbo@q!U(BW2nd!!92hN<`pTrm~uOuwH;koyf|5@d8qBcQ0mfpA;f#8lZ0sN)OT~p zR$;#;TG5^P7QCAO&7nMcX~F!HJ0aly>s%1`X4k6qf$T9af#sDvk$dN3x+g5Ot;#LK!kD*3DS0{{DS}*uxqG$^rR{{J1M_C=4yDlN~?5}#SdXwzD$8P z5Sq1}pBzZaC*Yz`GHvZ|A!LvJ&-NlK4l}4b#ntQ=_StSXj@5z!utHNWKNuM zP1=@Q^gUgaG-~@sF(~$p{^g`OyzTki)}JcAC+3%WU(h*L`TcxjRXB~W$=O>|vxrRB z;ODP2fi3YRU%>iX+Ln2=3e7a`_^MKw6L?=DL(DkJ^>i(R)SPm5I~85bNKNw+@Jq_B znO8#?+)Ew6hAc=OZYj}eaDb*LV4=C@CagAfPA%4N{Gc+FB)jDK1r0Z?n3!z6sDq7b zohf=3n9ZVP$rWSB=ClIVT85yJL?Uot6=bcQTCx*~a3IIE?8b`w�pu=2(rbtu>Q zDKY3`N|!i|^{rYGcCSOdMeOU-uwqS^{#QS#*P&8e~mGISb9jt}t z-%0paD1iF5bj2v0rSuMSP<1+)dhl^e$b62;NNp{1QO!?E_bsu$bQIu^V82~8T}5jj z(gd>>ZEAzIC#Rp^G8Hm;3)LhNA!6+9@baAdco%=n|K|6J^?SO_h6B01OW@4VF`Kl_ zwBNNwi8^MBFG4i;4M6U5Zx1^o4MOHlU=DRGH-}Abrdmf5ZCPxh1k>rvsNT(0@lslL z6nWpw1J-S6{Pox{^x0KBwi<*vW6tXuM@1wru#?nfproTY~#)(CClF$XcP$-&vkB%lNT{jVU(0wcFmt`g}x%rs+RHS(% zP1wT+Iyy_dodL{}JZceK`sDeV8#!@E`)>_qfsb2g8QNQF6{oIq8N+!;{BOdYY9>XF znWHeI_;ITFpd^}@`9`Z|j?wEvh7YuvE6K5U=-lbNROh}+e`AH4ica2aVRp1NE&sM8 zFQSok=xz+6Hn|qL2}1^p#A3zXD`e2Bx=5^Ap?C$T=~@U$I~aFSB>E%;xEW>Ne$jA< zpU>&j%nh0r8t;r@F&v!Vx}>9S=F`{&c2!cj%LGu2$fN3!0mqwO~(%H;V10zS4&%_f&KRVzw8Gzo4-RMp3NJ-&r76rz(0C9QpLsTsAg% z0MY!!1Vl~fcj?A1wU8W}`God);a+b z>6FD@$}3IP>qve}fAWQS60xS(3|S^Br$X0!^GFxEj-NmPwy4xra4%}WYo3>vuFISO zCM`=N&^|(CWD7P+$sgUgc+=!0^)Oa$tLN$)jy{22AH&W=W-glm!Ys)RiT26bIpXec z-?L7GE{yy(;ULJuPm4ToLDZR}wfYsxg^0jyaG(Rg8obLKEKA^u>m*-pwA?1^;-Yt=-ukeif=JtsnBP zr%^Z}?*ksqFIN+J+#IO7H^I=|`O{__R3mn0mNi^fnr2f`?7$B% zwb`Y67x%B&EE>2mKzq9pehRbHouXx}Sbiad)lLik^dPWLLAg=5?ab*E-mw|&ko*nV z%DS%l59I8hY;aU7~?#XvWs+k&GKOZ zsBm9CAZD;`t|9h+or><#zHCrKPA74-wJC;SmPXj&wPYHqCLhWFe@SRteF}odorsq{bCG<&;5$tQoZn=C{NFGC(rgn2SDSP`-5!H9U-e zH7)rtEf8bazPth8t|Y{r*HUcT{7-;fdb9a)5la{VUc>mGbOmpVHZ zcvac1T$N|0n__+8pX5G(W#dXt@iX}6>i}iH23&}mp)^kk1nJtuDfU8dZ8optha zzhD3~_k?Yj=P~oy)b6O!F3P~mAY{w&mQH)ZzEH-^=s z8GX*uip#bVfbs@yABnUlFgkt~sReXry?{1uaxBwD$gWtF`-M7oB#@!c*4#c$VhAaJ zb9ri4x6Ej510xM@zX5p{?&OT=xVq3RA22;$1e2WlWIPw#mB;LxnK_nvF6xn_Chv*33Owb_pG z9)mz2Y&y5K?m{33KSLl)r;Z*5zu-^YJOhC|hUjQ%mAJ_}qirh5Atm9VUrd(SJVB%{z7T6ah!TNo``eBiA1q1bvo6(bvNV zBB=Lh_wtq8m;DD6Y3mWV2x(W&Hq(@?r2m}$ATvOLn$PRPs|Da z2-%TyZ!+8_>i3M4$t6v$Pmi!?$Upe@I{EEeCFTw{Yj0fjr`k%|4>q^k%hn4YP7dQIpWi>M^)eY ze!A!gTa3J4AsxrW7*kmssj^pc?c!5M-;i7Ve31Q_wNK6L$o?i{yC5rxiHTvkElGD& z!*^F(9b(T&)^9dgFh(Bdo1?7M=^K4U5q41?Q^d^36P|?Pz1V-fHeomI82)9wCSC6k zWA=sZ?Ndd6gvabB|9cE)dagx=S?=gYdyjt@B-V~ zz-y0Yz74(+k6+4EacF$@aH<);U#y$7eTg9r1Tjf8Nm?px6)1<3%beTE)Xj-V!N8?a zMVnH`sIfqnl>}iuuXyy-D~0ir_z}NW{>A!xuY97*OIT$s`MVySK}jR`rpK>?Oa5fAQ7FN-Nn0>nwl?zDkKD-<%H;d@gq;PnZ@jJ9 z`Wp&w-SR1hpm$C%6i;G_*qV%K0v6UKQlS}rymVGV?{Vc;e+#$0*XEdix2hs7%(s3! z4^_22mm1?ef??}cS?^d$^Y1E+L>vj3Y>XPhHqiH$n|}QGQKA`hVp2HShI1T9=`c|r zzBrw4nC`LQb`%qrbw#*!x;36%oklJv%ZR_V)7)kKZAyvV-TC6_b2}cr61aC~B&`NB z@UP^DFRJ|d^p+fv3<)CjfA3-o>@9QFQw|zrOR_ti45{*+P}|*I?=GK}ZrCl86jTau z!|3B0QC5}5CL-y3UPIt#PJytMFAh!7Y)$d%`-AUfn0Xm%F5(7jHeH|VEZ2M=x-sv- zUGu0*Y2i|BV_7wGFm17_O7oR%!1DOmJI{;jTt+Hy!o5Oln8K#uqC2%-cSC>vb!50< zB7){^?c4nPq#f$AO@-T=v7mOzszGng`;7M&*zJZD{U{Kv)Ojm{soGpXH*^iiBZ=ujJGEst zOi0D1`e3HrZ|CC&VSBXAs_&0NO7DMRvQB2^VF>wK39{OJe$UdIz?vuK5&MF5YEhMn&eqnZ(SuQgkH7dUM&;D%)?TkgTDU9BKTh(WzJ|&ri!-jWwFBT~T233{ti zYzT!Wt>Z^5HFMOrem-T`-?&AW!f)SoF*(!7jF+-20PQ!H`ir${&@q<0JA6&}+x`>N z7sa-<(MR|mUUxj<7m|2?K?d7eVkB`#Flf|I(V1O!<2BB;B-ERYSN3SUDs_-t_duHk znse)w7ynpOwfF<$=$na_!z;6d7@c? z$i`Tu2cD!%5B;tEV5NZhmEAN&|J}M{_-FOC8LFZCV|2UU;$=j$ofW|CQAg-MMa>HY z0ztf6d98V(=G(u&d4gaM zw*VoEz70Ic(9pkv9ipe)wc7w2xVU4)R+z3D8n^}GCry#N=zTp`xWZ1H{6yHgZ)?2Z z1c5H_TcXn@h)DWAH+5-@hC9Kpw9BKlnJj#llV3S-x6mk4Et5@9Z8y)tE+p5Ev2Msk zCF>77?v8)KBR>QWH9z1AO?6A(Mq?}-r`{p00s8>{x!zu3_ zro6cXQ>vSqIk*;*%ox5MB1G?xMU2}}NJT*wxH{6J85#|XWG#$^PaAZ|ufpL~`ubP> zKEdTnVZUFDEd8o6q+;7Sfd_vP@pX2c%P8H{57#=IHAU*>S5x2!1F~{4L;P z59DhJISUI(13nkWBDjJ+P z_M;p_1X<#mNs{L1Qds=&y-fOu1@qJ0GfL)IJ;zJbd^^t%ggJIf4D32G)^|Olzd0!d zA%PM?C4H*Qt}uT$u$h&VS26B)|6Fy4&SmRXw?;^IyzSXeI5qA~Y+y3H&zKBMG5=;AijBt+7w zyY!s1*!5|F_Q|C9q!iD%JQ1pbUnQKNALc!Ejw}De;3ac*Peb*~b&K5QWugXQByO;7 zAzWVSmf|xN7oH*25kW_TH zy_s7>mYWZJ9{&uMyFZ_VI+`8pf9kM=T+_X7U_U|3y%&#D+`2By^k~t_JXXB8w9Z>> z_~sSOw~FBov;75v!}Y&5((WlO&6KLxMM3YWbRng# z$g7bEg`0GX+n+kMd`MM7 zE+-qC%HuP&FSJv&j)gBgb*uMuN7|Jti#_j>2ugIZ$Mjf6jpR>j~!G*PiKT)sJNhO2(bYo~E?-pQNlT)a46a ztuRvEwc;>{&28yCmc49w-gilU6$KZ3;wB4W%?B3pz->QYFQa1X#oV&m87*$B6hYGb z4MXRk!^TF_SsDT7P+CE6_0!KknQzpiR6quzGy;tCS+6Fkriu0O-4bqS*AEla@_$Ad z6+O}$c1sxJ$NF?$tq{wR?(SFu*LyPm9%kF}Bq`+$JLwmn^VF))4*hn{)h+tPqdsie z{%y+!D!f{;o9W(Dks1Lf9`!dBUod4^Q`G1$FQ$`P4+)p8wjlax#giRH2>7eQ8>#=jaPB2m%XFR9%=IqjmKOIDl0&tmc^8PEJa0_f#x%7(U^W5bJ z)0Q7>{?I~yNk5`=q}M4)%Qs!@E%fSa^4B(Cwl9W@H3I(nlogE4ebIOBV(k__D$AU$ z*dC*-hbtRi9zCn2xja>M(vSOPvFoP`&!tFh*7G-Gsq+-KYuRpFc^G^sU;bndwz_}H zO70M_xS|$f0z%;~-4Jhr6mX*O5lodt-7l7nmoKji@j_4L3(idi`1EhEr6WeCB6+_e zy-@@F`IAJYplyjj2^sV7bWP{=4h+31hmU7wzo4L3VYvR9_4({y9O49acOdV#>Wj~# z`+wc|RU^dfLaY{GrvKU1n|7b=j{w;jqjmUnzyG#}m$g4TRKGJbv^93~Dou96GI7`4 z8kgZ$>)M9*ylY!}_v#NrU{A|tI;nXoZv9bnA5O4m3+8*gP}2xdQ*4*8S2qzbx+K@V znIfdr{VR=Pmlt<~9-Yp5)!FC8^PF>StNwX8up+brA=@t4+jA>mm#?sg!)vi`hb{Z0 z+%T0Wl$jwGPp@VHd7ls|#4G`EE&zM~M@usK-H?=Yuc_~w=rz^%Lj$kX@%WakoD3_; z-ADe&4z{;y3eTfelDX5bLT!C@+B+~ghpGaOD~y&XJ>M(_LKmIyw8y7epu|yvwH24& znx_hIYMK05BoSn|7Fr{>cw=_&>WJ!7w=WXHI9(-Z@sD^vrAUt%y)fPATh(=EN6xT? z3~cM?IEEE-2N60jr1??B3%4@_ZL4o~WUyruX8LZ}DruJ=1-1Wm4%DrpD6=Wqe)ILQ zij~;tLq!Uf+|IMYpBva7Z7wDc4IC=#Q!vR3O;B2LG~s?*e?X(+7-Ib{2TFI*L^?46 z8Y$c_>yYcxAE3Lt;TsyrLD40dyJ7`P2iP96Dw-YHWbPHG>^JBT%1P#_grjVdy96n) z$BOkuL3T)e)heq~mkmuc6Cn~Z6!(;vXa|MwUbW1FnXqg*-hd_Oci5tkZX48a8+zm&BNPb(_o|{A8t!f0E0JGv4Mc6NThqF zxp;G^mst3y^WYf;i$S_f`Av@WR=E~Ngw+UWKTo;rrj`;tv3N%7dp;}@pEK>2C1!iy zmRqZ7PgdKkNf3Xq*7}}Y>V|vV{oScM@!;SxlLV5p1z5+5HCdeuWc^GzgvVf#yf^00 z^xS3F4&i>I+h$fg{-G%EL1t3QUl;b238Q^7A{oG6KdTtb*zfdw@SL+%){S2a?ifaj zzNlf=O$sk91BzMdm3+G)P;u+8GfcY|O_t32f;97|B_@q?Zts075ais*Nx9WJzgy61cM?I2xYoY_ACWLAext@Xpgp>|Rvj&pPjVH*t)Q|I z(t5T>i-I&%&lTl_-t`C`|5~b)J>C^Ob&0gSXUoy487qoRIg89nz<%zRfs#u#mPoz2 zFDFQg7m zgFPXVfyE;vk!JE*->vmXFMEPg{?}jQ4N7^D8H~!!`~^^EV-N2^-l%NBuN&t-a5_rz zL0#_P&QviHqasOjkHbZ`^tfU^y!V*u6vEPr2Lyh$ihv;@Bg?`+Zs$XvBpE66Ff;=> z{aLs3I%WDynhClD7K7JAjyqC#5u1#X?mA=0;8RFriZn8$Y3H2Y`g6HV%k>v>4UEx? z$B_NUPjRD=$bThJ<~NZ4BZ0d93Oo;)3W#?YwZRFGaLi`Xgn;XuZn_?5&+ z4^KA&(TZZd^oa5NtO*$jStp|NX| zpW%?c(EoQ30U~@n?3n8Uc|Ld4v$$mLxaU&I9EYb=>D(z#9~tnjA~7KSW3xW-A65od z2whL8JL(DwpBKa2OX>r|w|@^;=FpBWL^NTSOP17;G>(OcW~_ASlF@PSRdI%lcP#%O zGW4~VNht?DlKSO)+naf~j1KkoCvY3+%k~nqn#zj6>n%;d_CS8&KQ|YPh`bM0d*0RC z{r(!E`Gg25(F`p0F-SrWeB2S2DMiEE4R)oTcTKJvq`7BnGxGoIy^Mtwe6UKn*3oRr z<(slK+KfBUXAVYA0v`&wXt=;EVPAcR##p8*SSBQ~bx)|s&Vh0Qk!*=;A<3C90~K5+ zfd~QlN$62==;R)#b1;DSsyKFv4%9hzN`pNrc*GF#o5Fu{aPyJu|6xLhT7e24x8;Q% zU$AS!5=)j;kr?gGKL=FdP+!Nf9AJh*(!ii0uSI^FkOvp~!`3h;XAG~F-eauevj;DO3r|* zLFhhM>vg|hK91FJnn9R5DAow6*S=}FBQs3wMnEXNi?rn!Gg^%lkw3~11LAs?D@R{N zK+AjT#YZo1R^fIJWy<-|VSr`7cJx4kJa}3EnaDe4#tSOjR5UH7Bl5Hr2Z$udab=Brv|qz_D^VU!2O#c*?3=OawL!~j`2ZKo zOlfFfZ8Ib>YnbM^4VBFXF)-a$RoF&#j!C|uH8Z5hCgy}>;IGQgIsaPZ#A-Rl+bT>j zaosmr==p~Bh`eOO!m#sLJZ7P0$Q#tpGv-#;p{5NHdjgDN+N3p(Kax-0%krA%0P^9N zCx<2hR(OL$OYZm{EnUXx)-|`Dk0m!_&!|He2E27r<-ILCPZcnArY3vgbNyQzym~^? zGo|>HFWJ-wn{RzdWo=xsM{_V6vrX?QoOz~~nRYTm)$z_?9yB%+=7pL3bKMAsqWcP7 z*Ol`f->ou8k=@=O_3vg&mbTBRel2n|8`cVNLvDdkaw+NbJ_f+ZDFn8U2?3;@rDt=w z26TlztbdbWgU!DuD+sD_$Ei&ZmOv46^k4mjX3}&%h>)|cu5O(77?u(QAany8SuSSd z@~O3UY4%h(PpW2Z;38(T`w(OeZO}f~V4LqWLdVrR`b=ei5PF_+dVQ&0r9a*_H}_Q) z1x)&pqdoogRfF)h@bf7a;V+%33Us5-;Om4W@zftqF}@kj7VB1dYqIUwiJ2= zK>FnPvkFVxbSB0d`2qBQf^g3@y>-{0>GAHbo_Y$Rub4l%`Z`#yOY8jAxV>D>TKRRx zXc3_n;2m^_E@_QZ_LuIJUAQDExtFQP9gM#9teBWs4Q#$AOP$93m09DIHedKgZ$pJ!@6;9gDCGVk)NNuXkM(QX>*~wkqt~Wh zP9BVO8?Byf*{?Zp{j@mv$VkVBt6bbIjA!*T)oc+r=y-Jnh-K*FFeWT?sPO|l*71qZ zi}M+_mu+#M(KO;=h*^Pg&MkZO?U}d#8WRAmijq&CX3qZpq@4HNHFW$0?24bUK8KcH zb4;Y1x7YM7`|aP4G8zVG%hEsp9(=aHM<}+XasPhs*TjI4J?gg2DX?pNS&?+?0JWP9 zQe-~$U+uHK^HJ_aP;F|H_ z;^uUAtW;TdR`>S_?HSPkffdHi{ply8ZyK&&6RZ`y^Zj7i$mWEiFyEt%1C#0#;Ud=5 z$jA?Z0?@(n$y>Gr)~ZoQr`o;R+@PpE8ihp}O^_ku7Uu$k5s~DIX3@w3iV-*l&P&SMkMRIg zuBY0sr|9YFHSq_H$`~)Tg2nq}PS+4K^vLJexOT#vh|G}fw?NxPYSdAj#b8$W0-0Kq z6IV|B5@a7KYYjlv5w|6m>h28X=otPA?X5A__C}}@hHZg><`($T;2S*U7jq#l^OUKJhco-3uH4al*r-S+6`#UY2u$&96T3vX6HJ{Ac} zMZ@j6BbaulVx^-2R^I-L-|PxfX>%;d9)kqfUY-U@uzsbH74DQLR*WTy(}t&6R-PPU zC5PISJ?14#X;bSr(4SV_8jVQo;A5L)HfB`+Wt;D!#T8M4~t;s{8`B!E>)9%2x2D5*nX8nNLQx% z#Qvh_=h>FW2M&7iv&9EGgXW;-Ab>ZuY@^KQ!)M-Tdm())m+~_shN()lS(udSeqnxw zE_q#3Cyyj$RdKNtUB?`3mgQ7UD9-BJ-w$RYlca31vc|rk@e?}Q7{$s(d;TIuZ6d9l z>2a8j&2etcu$}n)#-RP(+glSxnMUN;7}CZ4&2DZk+HMcW1H4)G?6S4(JaoR)9@jAF zLt}XuVqE2uzViM&4J>h|=_%DFWHm%olq6oi|MMP=54OBtA3RS%j7O^7OBvkUKg&v1 zqsY@}yAPp}yN^N~?L$~riWQjHd;b57aav+sV~D#qg|(4srR!{ zoC{Z@*^i%seSQAp9}4VA=4aordRekK%QF2mDI#&ejNW;sUO{&_G^VbStlXvO*o z>!?UOH3eejJkI9w+_Q(YMNA1aMNYDG^EtjgB*(=!5tXv*C z)VG-Sz@o~m{l^L>RSJmKTX(N(fiGlO1~V!Mvf^4UX`YOA)r&B%`Zs$WwyMdH1=?T* z?eGvRe7J>Re#57yL{?UtDKlSpWU^;&KF6D%Qif%=_kWjf zlsy&ChIhwWzy>#l{&I~dnG@6*=&gPv`U`F%(~i@>-#vy{Nh<@l^vP_Vm{s;MPw z=~8H%I`w)jib&sV)$@8({2-8I=G3TQS2Lj&lh8DPN*QsgA@+nC4~dLnpAlcFjZ5+5 zJ`!FZCb;HjOg3ug4Y%ZVsk;`0?@tKysndeN#_zGy7SCa{sl|VA$M7pxltSrLS_o!* z-Dr&0r48dMzSY*O#MvtWo^xrHqKaA4^ z?cVdNJz6%K{Cc*STi)%C`fi`z<}eI^J3;yl-`>@98^@bDqBjwOf7;+u1a^*-halHI zE&!Kq)~ZG$a}A)Z6~Z=pwf)z ztHgtlZIECT!zVd^^1~?KL=2A!Ym2Kp51tIPMqH8zF=H>BI9SlE107QVz1HCYQp+lg zV5m6q&U4m<4sD(;ugb(Uy~it`mA1$(SW6QATp4zQ0gf>$@j6$mfwBrG7|158Px{bV32j^ zdLo#RO0$wLW+PrcRKHx!JV@tDvTRj9uYO>EGB%m)TG!%ocDP|WUUjkgym#ncJVC%v zCDPz{xRlZ#klXRUkMW%+1khm9+MfCTc2UR2o9lkn-Hqob&zJeT+0J7$hVum;;GrxJ z!;B?c)~pO5Zxvt5lm!Q$KGb{9p5tZB5J%2QfXuRR{lXq2#6EE^}6a5Gn?pn6y0`&|Fp0U zFA1?|?OP}0cbsD5k*RmtmZ@$AZvBX)y4}NuQBfmT)m3j&^}JR02ow3^17R0FTZvie zpw9F@TK{0{_P#8^+Jayx`9iWNH#oe-CRAUza(^2Cv^YH3{t*_n!1*)S7dw?C95lQp zA(HV%5(rI>iH@c3Zx2mIGz<+182Ja9Eph(TCfcP3zl`|S!{M<9%wvfTziRZy`(R(* zGpKL{dy{t+gqfaDHpnMkkcwJ{%-dD$bTIfq&1z$G3)+DEfk2(5q8t7ZW(48SpzGWf zA_>~V^!LF9+=F;CraEFq=$wjODR5{b4lO>l*?`n>WpjCALS&e9Zy-W=dIy~eX${S` zb^BID%76~s3mh?eY>nwiN6*AW-=ei%Fz5f!ed7B5->&EZ5!<= zRuCnHZ&Vd@1|Tj0c$4xN+jGY%$@5wTCdt%8S%6ibx=ZBQj6qw9giqLshr2wyS5S|VFG`3fKo(kA_)S>Q(JHmXJ`T4% zLiib}15~1{#9=<_*;*sjx(FtfAoG5)lA@kF59#maWUef8Uw^?k<4G}RTz{0LgND6C zsnL1>C8XG!N#)Ul3P=p+bp@kAc7+(AseSL~{ai)k)^xwshtMQQ@@7PY0Ta^UyKb>{ zrN?Q3z(I#eMPiy0mzAX9Y~&f;$Lvb;ADh=nm4!=#rA~{OOvpm{k6lmtUUl{CJ8Mpc zns&ned4TT=SA*<^DXb6g{+51y4q*H^?7Q+x@A!I2}0T z=c!DzWI;qRHByRk=;6xG_cPFp4OT*dz&*)&hhf%|=RQKMyVBsXT-`mW4ZEAlsH3@0Rz7eUyjIBV%7~g9EaXmwiL|jUS0-duzfwk| zvIqeY+9A{Wpgj??ptuWC9CKTR_(7w`6duYYgu-|vGTNZ~z07%IL&lMF={f>glkk(V z;mQF92a7N>(m~jFgCrIA?X%f^>wPMxSTgVZH6MOE=;)Or! zLO|oAmLiB2@DtA5akxIRt^c^vGFiaC-yu{qBk1QOZ7`g70Og$wneZR^q-DDY`KVaG z1MGHe;RlBs-4FXJAv!NPNI5r!XNQjoQkcNV5&5kS-OC)wO}0ysG`W&jQz&jf!n_s5 zZCA4Xa-`BTxjefxG;WK@2GEW`hu^mys+Sd9lb|cth*eFHK)5j>@oCVGSZUD5nG^jC zhy`$iy6MezGjvUc5oH5rTVs7lDWe2?I^*<``EB5YGOpHtG~cCA76{V$X_n#h{^hQ~ zx&L-T#(;~W>74W)HBy*v`>74TP3_}uv>Wkq@wJ$l%K)~DJXa4B5O&9E`|hs747P7S z_H9t~@a$Hi%%>3tE<3AghfNl&ao&$gxXY#-vDgy&s4ZS4z&F%Ocx~A3EwiPBpXbe` zttSswnYUV8eahn%SF1-4Rqn5?g;V8k4sXsa3zRrZ9T6eE7~rDXm`u(Ym14fOSro>rvb2(Hz181Ax-+^Bctz z{_Kmq0H#JvHP`(uaO_>EXf;?U!xIdMwjDofSVjfUw;L#Ioo zRr^643Kd^aE!3CrUBJ0lS91D}aVbW`ie@`zbzf29hkPq=E~L z%%r003C#C=AGS}{+a1-DyIwe8`eXiuG3HgmKi1tS4w6>6&DR70&8_Aj_0{mOYS6MX z_W@<-;7O`t#WmBg=gVM0Y?3~9!~NsBI`Md!fJ{gJs}XuxaypO47Bd6RiW5czz){eA zrpATS?yMPbEhL(kVLQ!J2V1cr!$8}2mQgS-FZ)cNm`|-sgSFaQd&FK69xUZfHY!vF z5CZZuRX(c)<}X%NP)2Q*9gpHBAlHi+-V7fDyM{kl*leMbnxH4S|A}_MQ|1!hI03O3 zY_tkkZjSB!?F(&P*QQ^l(Z;dWw58fbM{A{em{t{_h&6k^>OYH^PEz2r)G3+!DgFjO z4b8M4a|JcrwjxEA-GZ{)3Ly5?bM42*Oo9Px5m5a&!#cO|>zk1$-a+zD-b#xmIq=UQYxR)o%Q#4T_6d$`rm1)!-SY)MPKIWggB z<`Dy{yIBOSmK($a^k#s(f-+c6CUM@~Zn2MD8<(_tCuH}G>M=^7cul`*2vpEkGVjv^ zF+11&aKd0~#EQ!hF5on8J>pR$bUrC+iH@i#vMSNVb?~-@wo`~h&pPnEVP;?#VzZ|Y zQ@TUOGWVy&thF~kzY?V9qs^Zw*oDNU>me=}<1$G1C^4I)QkWf`A|~5$PY01;%CCu# z@Qj+-LS^?OkWRZ4eA&2Z)RG+Xkz~PaTL9~M;cTm1EA=Y{`u={RFO_Aiwb4eIDj|P-BI_x8*+hAU zD$K3x9u-DP- z>VItHe<3nc)c+7a!cGm&V_Y{_mo}Q%{d937!B|1AMLRIa)nfewVb@0{$I0;wvDyglU(bJmM>Ln|wau zANZ6OB@S@Lq5&Ljl*p|F$h#RO0F{~qe7@I%7DF;F9XumHJJJ-dGQOoI@o%#PPZ?mL zELB4uZ?!_Qrlay*!5b=%MOJMTH`lktu}m9QEPkDcP?!GCWB*>5SrWu3MfQ8fjLu_( z{e1aa7b|4#JOiUyE+}H&0@>1#zZ}a$3TwFecnH8p^?=fAvK%S^bx(V%kyZKvwWg=X z9{+(sHv6F`Elj1SSXQ_h2LnJuIIb#q)sbcc&T;MDNaQG5=kapwa{WWVF{XxZ(QMo% z0Epl|F%5#!`$7BX%)x+VONFAyiqpUO*6ixLC3~sN!JRiUlY;CZuLXfIWM7Kd@wmA) z9J@LAX^GaIEKIH4B53P1&c?b%MZ$iKuMp7|7k~&`Gs{L%k--j_aJJR8$aG70B(6X1(e<{@h8z$eTK?IkLWdq0EnUSBv;!)@n(TEpuURk{D!0+j|ok7)l-0l zr%Y3kVlY!zz_zywl>f=Ha){gJzF_Dcg%GoVsTCW*Ls@BPKh=ipcJGJJ{}sMiuP&9!wN$b9Zir~y zUu>(a68Jen5$<`D^XGRi!}9pZz%LsQafXZKtr8&Er^$KWFdSP}vp#b|eR74oU|iwd zcZFEq<_w(g`63@pau0ygHkW zV^D%~dy+oF3oxVuYkeo`ss8wQR#+D}h{~ftEbsK`cy%?}weSJmmlU-Pem+n*P-&}N zKi9jIyX&RH^K={cx^o84uct%4HGsUNG=}qjdb~Bp?My~wSI@)mTvdY)jC3*+6et~7 z>=E*aDAFV!6W(EOpUz#6-BxqD zJn(H)4$n{nuAge*J2U+zWh1$I$z=c9p4GDoK71e{j2kKgTby+HYdhm!gY^8xq|4vNq?0r zv3hs=X*s%Nq+3-@)x%$#KiR~n>8ZkEy~bepbQciN;Boxfe)atEsn)z9JN%KQ7o3LN zx-S>wM-Nil-=TDv!a&~es14s#v{q9tGUCmqK0pOcyw1XWfqsEh-&28$Kg6u(*#BZ6 zEMAXb&F4a$7t$iuAT%Bd*${MqFkvGo1-78En*6;`M%FYv-x>q*u%i_jCb)k3-bRRZ z9Ff+*3a4eV!N$j0)O@{>-@@HS#*q(m?5mNovPMBZel@7usyQV|mjSWOrqGt3| z%T{|{J1qJ)MG|BW3|zKrC>DeXP!3BR8271NESvRAfFKA8cEwuOvpyHg>|!u-7e*rE zNpQSc=S}l5P@GVtz{Qd7u30GB09T?LtS}Z}Vx3phqU&KRjY)XGPXzFqUft5_bn8es zXq**-3oa#k&uy!jE!7P#g6uP4w^(K4-XX}bbD)MKPjcSxEPs_O9sE*Tf z=3zZcdh@E4Me_uPHo7taG>ujr6YGH3kU;jH|rmg zFW2q?_*8g2C;F!6gt}em-~ff|e#_^k%~D*4&$m*$)P(!Ob+o0*97&USR6;NzHvH?# zU({=n^l42vA-tveD!KmVx-Vu#_p#jWZX`WSCO<>(@fb05>RywYBSB&s-A{WhC@D}#o3&rkC$PCMd;^;pF!Q~K4zNt47?C(yWG=88a@w?T) z@WCa~<6qk|VOw7dB;N}Ne|{SGBI2iwSzX0^pmmS|*Zs~;%7VumQOZV<>rm$_Gj_y2 z&6Dds|5dx<440${m=gox9F8=KxD@^<8f9(Agxszc@8fXU@c6MqYm-1%=!B18 zyvucvbGDwDun&6#R7le>@yvM>CL3^xNDFi@5J#*sQ4tphLGE&I*F!j~TO4xdC_Hx3 zF&>nh4XPr#C-BNe&82l)J5OD`Z2_XvNLEjt+a~bO=V4ok_Imp`a=wbDj)3fzq5*?^?~*WrkYiHP2h8VH8O>}=s|{;NVF&6kYJ42@F9zw@ofIN+daJ4Y zv}h)u?KOjRCA<$>>Of%Z{hCPKrd(BvX8yK7ELNjzKhWE z3~e1(Wi)aP`bTP)sZ<_t9cWCvJ)&_3bhdrl+0}!)z3!=T{ge<*cdwF@Ca6b8>n*5a zx2pm6e+<`}9yHiSeZSm;h>`4bO62k63DKFp6?pQJ#RO^qsW`Cj@3B=ub-(H5{kKG~ z__wWV!<$a$a6wrZe2d@y5a3azVr6svTtO78zrD&P5I{ z)Wt=DG_}Vy_w9klb)bCst+atr3yK?cJkUQhRM5gmr*IBe+~5;K-g|`CLL@$4QqQ<%xVn|w%nQW?wPe0#sMQ*1>ilO z*-z)@c>@>cE^#@7(*Pit+n}O-SgL)K>wXmMdeURDnm)-;*)WSp#JNCLIWgG=v+v2A zYGXHUS8W)tjUp_hLpuQKmlBV3DylMVN~pY($Z6}1F7HxOWbsvFyd#hz0JP*CnvH*p zxL}GVCg@3hAMnqNhXq!RK58dto9MnC+Y6iiUP?=&X#S-x8v?)y>XvSq9Q(aYL>%Io z@;(k&n)&=0vlLcjR*%$QBH2BzNs5AyZ|MIBY92knF~g>WcCyeNKs^r76Bv`yq1dWY zIBTsX-0e`DR&4I$PE`f3Y{9-;i`Nj1eG6|i6;)Q>GLO!qnn>waqMKSakK?(4)QxZtj+v!TsGMy#3 zXog#;W70E{jF0e)iJ@YPNYVcEbk;Mg_!^KJ`?ulSi`G2RIQjfhoD@!5vN1O)ZTfpI z>zHp<(DHa-5-~WwG+Jt5b@j?-2=)+aw};PFxLVf|+*@N!W%k^ESQnQtzvk2XDI<{I z+CP7K7Mowzws)xOh3bES3medo!fD2-eJ(cSlcuk))nIJa&8KI1ixBuY26N?X(K@J9 zFT^33jW>^)-_571tKvcD7(6w1L#JdZY9s^~H35nuNSi(P?^W2j>&hu(cB%DrEM5#hoE z;?m2N-2Q*_h5p~ckpE&i|99M{fWc&{tw{mUiv9dV13*G*4tyR)*w#{|eX>LV=p((c zoGE|i_6Jb1hEZnT8i`1~0B?)yX`tVF#T&kuc@~1ifmqwHO2l$98>;}q(<@#){Rbdl z72J4rR$<>iB=(P!e>0&NY`NG-A4mz+O5T@BaAx)AhW>dpJNO2DALQ37DPZVMr3kx# z%9bZRn?ZnjeoixbHy_;MOWp<;l_xr4ZznlknO42L_cxpCR@}8Ye}D1!WFUnpYCJbL zmu^!Z7BbZc9!}xk37P;j2kC$9eRdFoNVv1wJ_~1cdLrZzI6n~{JJ+e!_Zto?a0Hx* z5Esy*x8LS&W!C5?^8kKg18D$N`%PUG@-6c)8%eT$waCAoA|1!_q+rOe)A_u*0%4GK z576EM<{hM-G}LX5heobQzXrn}9QJW^Q?wlpy|Fx@eh%^tA;8AlPv7ZoU)~#P_)VPq zn)z;m7CwfB$~L|L`Yk=cP?p!yXw3wTyA23{?1{Gp^njFP+0W`HAs3$?0RC@xoighm zxh9VZv9BS7FDLzO=`6;PJ*E1sOlzoY#(MOuPT2AS5f2;F=jub=?Unj$Gbn zfn3*ML)tftTM%qzNUU?rTw0y1d$sjDKg!kGHgAUF8#<4McVTk5KQqsQoyzuO0?Ta%9~*>ot_Uv3}J^bti{` z=?K=<2>G2e;LxHR-J{vo&r>sjPwJ;9$$PHBi?b-pqx2Z|kFcH>(6>Olv=~4Zap%## z4W`Ee6Dw%lWS?8sIUr%o$6sBAK%zAM&(Ht6>f~|V$QP|b`|5WBmt|U{LCE<~ zO^_IA)2bb$j*Fa0o#&UZHj(XuKu#U@z623Mi+tE>)RK&BwQ>{GVly`bNs~HVcGV3@ z=Hr@3apRDv{qwn19{EeX+S=u#n#?0qy?i~h8{mc?7R`R~&4`p{H(Sl_`&Y@7M$9d{Xqe_l z%=zMC?Dadk5*NbfDZ3-hDzxYGr7&C7t0SjxP6KMTL(f+x$l6qwkcX*FfvDxq0}T7+ zRgXDeN}BkGvF_%W($w;WWFlSv$ z%GSx!D-@-LO380t_WW84!5q`~k1G!^M`FUKpLH9|z=+lc| z_7QNWCk5IVZ4Tk?SRg^p3~hCg`c-2i>;=!_KPR zteGUH#n$Q)kelK~?bXE0GJ-o4oa5;AYpIi43uz z?!pX@p)2L8O68J*hrW-`S?Gs3XJ=UypBo^Z4)lL-5%cvA$m7P3uMR%(QUg?h5dbqwQY?=Q|yd6t5KmgwX_4{c6+_H)VmXB#)OzrGW351 z)sM8SSnd!i%AfqETVeZX|2_w09!sdx&a=roV!T{d%hq>J!<5+L^{U{AwexCJh1TXl z>f2fTKXmNp&mnms_fR2UXOvl4(FjkAyVPQp2ye)&_F?0ufC!h7PF#8_>ZIhY+?sl| zPPqXY%6l`#Kc8nfIdV{x5DFGPS4%HFUvfZ3)l5bBPIZ?q>OC#HFsvwPlBacT>9c-_ z$~`;&e;i+lCuL>{>DmT$vq|u17CMiXgtoF3<(_5~{xW}>n7_ZTwll`|2J!(R|I?t6 zO?$aN2fskdQzev8<9&QZb=|yU|0u&eRjxSY4~6;4YTzq;$EBdu(s@u8+Owsdd3XC+xjF ztNqi=6U?WIoKS|zLQ2sji7$at9f=Ze;zz_xip>!GY)R%HU^#Ld*0Pz~vtF;RSn2FI zH9VAaOFIC$cpSvZ>vmpew5m>}oYsQp!VHtZ#^I~-;k2jo=C{H9y=GI~XPADsKEH6= z@W8R|vJjWh9B_p)>zg=XFUCT9{iWIFDYVTd%`8M3ZR7vKY+TViFR8%yc=jgNi9<3i zcXGU#sI+v6>*-!2{^Nhn$n8J=quj@d|J~OAB|nGsO*BV|khYbNA$>VieG40M{^_{a zpTL9m8g(Bwz#~%&7MBb1{-K9{IdH$4w#%RNQi(f?<$Gl{Qe)$Nyncslub7?K^h2)h)UB>&3ylEs ziPF84Af!`4MtLb*^l5<)E0=-(C3(L@_#2UN`PEDz63QnvJpj=eHfx}5X1h#6Q$cKt2@)Ebc&b#>_Bv8eyOou1PQqZ_jVnt8 zk`c+IjdNb^)n-|zpuy<0x-Ik4#HaprUVcHNlqn4zfWGOglzAxV)<)IdFyWlt5b%*C&ttV@ zk;=-EqRdmn`u>Z2iIB6g&Eqg$P4`<}{l~wYbRw7Hx#+NRF@a$(PCU%y+)T@<^6on< zAnFZ$&J`a_O$z^7(5@AK#P{~bqJ|DYgX}I}CvF0N`lt=wmbJhtDj#Gp)(bRe!sRvYm6>>T^mTG`8)BKAK-kIE?@(mZ0@oQ`fk;kSUAjHZf& z^HYTec=(H%nh2%MJpfc!V0e6e$|crN>bYP3t$=w?u5%`}$d3WuK>?JUMT*IZtnX%7 z-_ITe7E5S6#RS2{*x$lzlJP=V)vh(TJ)mZhQ#1>({o}`-CUWd=850H1<8EmxTEcN{ zPpLVZ7^|WAk=MB>Df4a?eCTu>DlG-6^|y%Dw25jqKGAC%PO~p9FzKHjangu3D~W@- zBK?(XhbdkLclPw#wg?F16v~dbdT4ltNgzxQ&Yv7-R4+VDLzf1T14;`y8<%^Hsqb62 z93SFte)wSg$t>C|($IFw{e=`_c9#9^hIz`YVP2`rAX(fvvw7JF)XMHO?bgQOnU0;Q zLQ_BnU5Uqh-sAJCiE*4AwLr@18j%x3kh2S7()2Xm=*y0Q=;!rm0xOT_)RPK)rtJFM zZ{yD5jM_#2c$HOI+f6l!C|B?b&o3a+JNU+2$)M=Tdx;F`^76<+<%1JKQQHmgCl%#u zRQ)=nc>$+(^%DG8v~5c`v9kD;r)||kC$|C+-BqHHw*H;=-ksnttA~rhR?B+II|L>H zAsbawyY>yYrf({HkuU7?=(dgDW!w2s@y{v3n9n3evn{8&xIDlho+?l6BvRYIRqAN$ zmZP6|t^b=_jOV2shGb7mpmWuqW+(IN!fMv&Em_t2JqHSJ*mF*A1jPZw)woH%nzE*j zW{L3@u5z+GqS`({#-a9x7mG$BbQ5B76<%yA?2w(MRiW;kJ(L(5HE9YsXYPlU&BGl! zwYKjjp<2gOaoi)HRsO6bQ{Up0#cLZ(sSk@ByZ9soo3qP1ma7b-r-WZ{)_=m3N4^jH zIR%!zFOTKFmUlC$?ndp#-N;PpM9$KM@Sh@kf#lJy`2`*es>Z+;hoe!0dV$Hff6Qs3 zEsDu*KOu5+X2o%?Iq4al=``s8wSoo5uXnpDE7i z^N7}WxLv9;KH{b@U49;C`SMS&n=p2L^vQCLriIIuGB0;wW5L4oKl~pfgBqFTlL&}% z?d}uB|6dP0|3%NVq_yIE=F}1hK>(``@JHD=I)T%74-3~KMP47a8zBj>+SxAU!StVj zXxK;|p>SY3CV=)#bt$LCyI&N^rj46K0$k@Q#(#a{(HvwU#+A3As~?Q6hJ94tJ3+<2F(}f$*6`i&a|NTM^GO!g7ugM@S@8Cw0G%-X zk2Ov7=N<@Lp~L9^t)j%#&?_$069isEp2Shf~Oj5`%SV0QiIVl?*V)gZF@9ocen%9nHU4 zf-;xH%#cMOX@<8S2J~R8;F6o@V9oq@9*jF1D(XB_nY%_nh_@gAuM7T{48*@5k=jEf z@(;f2o`ribQD`DSsQL%0g||YqZiM$B^*Hc-pv?Ud~CP8Ps{aJ>Mpc(2}g>@d&$ciW6)E?7U(<%GDV3q zMyaEKMp>o(a8~60WbdnMG+Ue5vfhr*vf17+dpwu{a(`+vk5WdCmoq_tLv>+q;^}h% zAgKbeF&N&(cjNb0`~ZT)ZT#|{|LKy)@)p6^Rrl|;4nF`e2;ES+ln}Fw$MZW~00QIm z3xMBF3?b#1fP8ffPT5uaBM}z$$5OU z2>8W$$_S_yrW>@s7`~x zj`n_=Ehqx8LG#}+Tsmpbv%5oBdeYvsgV3#j15yoD;3bG&0<)H@pjeM|`AhhSr1dxw zAV}9mrrsDnKLbE2Fc_>7;Hn*=cNSXau8gp#f)4=B-Q!VEC=0u6j<_=I& zpMBMI=bAg9c-Rfh%8c67hXtTud;|fCN`obzU$p{$`hz`Q{#nBZcPGD^jg1Z<&smRF zA8^M(&Z&QLY9(FDIabH>2?*3>hvxy@&3Xi9r6B$yAZFP8`*3q^r2bh&+fj9P_y&-l zylYx6z5JHl84Hl6w$}5e3x^+MC&xj6(&Bon;x&tb8s>s-3_Mog?9xnoQdHmpa4j2F%Qb)@ zRceV|qKlnV16eeEPzptJ&NVuXdwooE9g}490KL5uAkh8**j`TXL^ZyuX&V%oKK9zK zG6~CbWJf^LVb%d_oYMJ;Gr=ZzXDp*cb@scBji94nvr7Gt_`2zwRfB~4X7_*6!;W7pAWDV{B@vkQSNp)Fu zZ!~CbaRE?>oZSXMZi72UZV;SbfZm47f^*Gawe8*&)CqpN{{wN?9+kb7T$jJe=@&nJZcrFmub~Q zaTg7~+`G+)L&E;`4ETc7H0)3ivK?6eDmo#tU{L)U=j$8ZC2BBEc-w9LyQWWX%tk$Y zlsLAQt*KwaQP5Es8)Npj zP;fsv2lMnrHsTdgXG^-6)HB-;Q_1gkmbz2gkH)H#wNJOoByf1AY=7pM)ON6+p@+UA z@M~D`*_67NFwmn=?+vX2Y6kXjedC>)VZ~SgmQ>H0E^4c}Nxl(A*9lCqu_0p7y_;h8 zu!^=KqhwWfuEe0&4({HUD%SEthW5kWX*9c6wjf<6z%?{GqR*BJW@~k0jV7}qCg2m4 zN+C#DYW`*JyCBg*EZxdo4zjydc2XBh6uoxL3*L~QGXj4~9UH0?Ik`$CJl#dN?nxnt zi3eVh@3!Y6EwM|WJD$J!=6 z2`%&utf; zIFwT;L!`_OfiAfh#qJl{PP5Gx04gUX*nYAcJWMf7WkB9v;YO}_LYcn(lB1-?*^;xw zPE)SCZ^%`7rr2GV9U!XxY`Z~!kWS%E`rlr)vm5aJ*`B%p~pb5 zccvCh67rF;a47sx{UyU2M6%ty|BbKaQIh>oMyhuvC8o(pXfp@yl>&+<7-Vo(2Z9KpZZ>s{x{&woTug&)s>uA5y`ey7s7rtBGUwCg309n*L zlQ6Svy+w41PE8Pi2k>Zi;{ZaJLi+I2r4yNcwh(B&Jo?=+BXOol;C5Y&SetcIBiC76G# z7w*~>lQ>_#DXeTQ>9*Kf$|SOoC1b-dgrf@&`{3F~TSOaT&2Zn1l2H56*L@Q&lDKR( z5_EK!Si9s=6kqw*sp~`E`nv8Jc(vKp{sc5e^C194wr8jPE^X-y^PRSrJHuVYNpYdCsb3h$xsZi=_T9K~ z$v29L7_6@`^S9ek*i0LWWb&${Q8!O}VD7ASb?xVNwT`#8aE3mA@ zp;aWd%rst5`ae8eXuOdxmT=7P&cJ(`y>$*DpYTx!s7UNODV$o~x9*DvTw7cS5ph^QR%3?fpy?o$}@Stcr`zT&v27V_^7^o*BHAptrjW!9j zB|LoQz-Uykw;^uvVWsz=+hIO?rJ|c*JqXtN(~c#1f2HW*3%2(wXowmkT5tcb{c|O= zeQv7894F|_Q#aQF6jq1Kj)KTrd@`V@?>;;f5OL3jGZDCGw`_x z?t82?(IV7AT-elkiaacT|GqVK`P0E)C{wM2Cb8H#vT@J%(AjZP%w_0JR; z4}$lf_Z&8=2a2zEaHS2W&in#f^th(4n8*Jrg1R8@3><=k?W(|A2y9OXg6L91Ouu$j7v)}z(u?YEgt@f2Na*-<9>HzMMiN3@8!X5 z1u_aU1H%*NpJlRhwWj0t7hq$a#Vh%1IcCKB_bT9>ffDPU(Rq1;X&8osyH@wgmvc<; z7s_~JiY1DX?^cEvB>6|wM22t;>KGFEKV9xV3kItN-p8QCKGS}qZQ65rO;3@w%F2VV z0X83pwy%EPAiU^c=BQrk&a^A3@E1 zZ}+K`4mQnw<+79ph_%e(FgrLHZ8dZfT--!%UYN|w-@oZjg`(et%Kr-KSR%6iCnES8 zz~VcZ=XeL)d})ab3GBU;GWue{ixO$4$D&_E?c<|2m)g7Bc(g%PxLmNJrnq^QWm2Cc z_}t`2+Oic^T=CtCc`k3*vDP;@lq0r54b$m8K)Xlw$4vjd$o%(u`~PI?LD5#?Fc0gS zLy>%!R*LmpPK~xQfpr`$?h(Rdhb}iT6xv`^35Ooyc8Xnl!A2YBKts!PKb2Zv(VjMA zc08N$l|U}6QwLY@J^lU|P1J0GP`_g4<<^MN5LCEl1>;`pkSOM)h&6Z*oipVPzE!Qp zI6j_2J7`G@@F(h$quCNB9<3PG*R78?iUw%II4G*h#{Hy!@r9-)iHp1Hpny!R)B~Fa zaYI*y@Af4eLZQ5`x)`jBlAU$kQu=lr5HEE5ja}j5K42TD=i;`*Jkmr(|4F&#KJzKM z=d$|(^XYw_4)Y+TTP33GV<+}7P@WW5kU7VNP%I%S{0EE!EerP5WX@Wd+v;<`-TDlqO|xxi``yDL2i}nm{DRd z(2}Z1?OSlbNez&ckOn9B#gmRF7wyH12dDSR!EjBVx%`FVT1eq-@&mrDyw%g1`%Y9! zseKn**v+9|rjPa2C3W_cwEb-uXE6LI$ubbauTl?xqq2Nr7;aF}OU;{fzC#O>bFbVz7 zevam|f`1P^q>regS8Fy`l69PbNfn2n(+|v5KjmutfPWqOtcH@=o_aSzf=@%2jBYu_t*k-QOdO%x`offF1OM#3}X9e zn!flJ36XwHAx5#WOjOJCQ>RG{q4VXvVMX`h!`MEh;AixG&uFO@165IEjvJn(kG0x>yt#Hq~89rcsp8B zT`<4ebL!Uo{?ACib>EgbjNh=PLBMu_1UvjWbY!rR*>clhd5Y$Get_%xU5F*+lWKhG<`$dx@ zDGDwdq#GHhy!BVkM#DDBcIoae$ zqi}3?p@EqMPRC9H7?TUCR3W(&Qw~u6SlhJm80tYUsKRXZAl6hJ z({y&-KAtx~PtPWRF|YvQZq4u{#wld5Dq^$^coJYrN_ovs(SViLvx0C#e-F=7Z+`aY z_V((OEKC-`>_or7vSwV8rO9-8R=!zF2ps84*frQ8HI_pZxFV1kVPb?hyO<8g8Or}g8>_lFeSKg)Ai-U7J?mPg+g$^W#vKiB30<2F~8 zqn09v$>!Cz0p|I;6=CF{D)A=);H~BmDE6mCQ85T8tKj6m_P{ zLFlXn*y~1{B?O(rhm@)gX2^OM-Tb|6#$%@i z2i-sy$H#JvN^RTlLhSvEfBO6>j-4tnaH@Umyfv5+-^)PlO8zdipejE~#qTt)n&|WTqwq+`xG!7h0PD(0Ml@GXR zU>rAmnhTkKgcek&uY@4YjU)mB0vLrd+x2}Op2IM@JOW~m_jb{)j-}Q6T8!K*fe)M( z8_LhLkC@C)n&Oj_LaKkx27aHRU>2}%k)n0=+ z=G5l;Xwi}_1%@2e^{KD3PB*SHWy5dSwDRw5p?oEGPL8m#WQu{#Nz&(g)94RL*B}={ z6@$&k!K-2K89Pq1KWoKPJ;oas*d#&93I)cxS^DatN;)W72|cHeg$69b^YfL?chqN3 z`4oq)qe#$gw@*)B29~=)5A)tLS+<-^^dT=!w#S;Ix}5gUv!S~!XKP}E(4kVg^_q62 z^Nr?U%sF=Cm{AJ4jo9+Utpr*+%3rL+&$Sc7Z>}pH_hgn053k#>YD8T8o^z{D;-%}{ zqIIA64N!^|HWiG z4K8g*d^dE!#fz^nh;zC(9)wzNu!Pmcuc&`_|Gu`2ipQN7^{E~&q?BR4S0J3A>zmnw zNx5>O+XCG_&3vt_b61l+q*2XNJoVG}1%zZoFb9!x+y~1Ra@$M}9_he>}f3i1* z1!EECccEA|ECqS6q_gAEX&u;*Zr|XA)ojO>^4zP6rnx!^j|nfM z#2wnsjN2=LSGy#*A?(5HWgy!HhiEutfjlz5k(mN(;kMX>^yo>qxcC-KIbf23 z?>Lb4^+Auh@K_eHfcEJ{ zn6`0N=Er56ZwD%N7Nc}H(0w|HgueG?N_U>{)!FgSmMIc(SUw3xyW~?${q((+V-9)& zQ_RjiXZ5tYG8V+gFXun@ia)X%F*v{X2mx#9~_8E@i#*PfVYxzQXAO2K<YO!(dsLXaq0rRnsTj_jp%Z=2;L&q;B!vi-;au_H; znrGCuzj|h259~UavQK^n{ua=%zOTqvf9zDQs1QhnJ5wPNCV5g^-U{7pDt)68-LXDR zl$KHTWgmVJ7=r4HbAax|ocmwYGj$}ya_gJ9&e|q9uCfP{tU=mDWHLLjieF_`3i8*s zvV(S(F_tZusWPW@p^n}6XRPefFNSS8&al&rOm3BS9sOTBX!G}uAI7*?R6!gvx7J%P za-bn^kwuNT49g)W+-7;TbP$wNJxC2e5hn;N zq5u713nxz~7Poc9{c(mrvu)6ThXEsBd8PAbt24M;xf{QP|1+N;QVLPbi&wtigQK^w z%nOv81tZ(rgER^nj1Kd93g;vIvu$fnOzV<>5>{NCL1$U}_lZ(!J5~(=us)E$c4QG) z{m3)Dxy#xe$TgY)`9@N6*ybH?Zc@=j*$vS1-fbVaue{Hn%lN>FziWb#`>i)RK&c90 zt$;gKj$dDcOvpkliu_r81bt?I-7Ks5vSqc$;)(YX&5p1!&&6B&xF6%dXD3H-yNk}Z zXPF?yU;h3bR3Py23B;ym_?swUCca&9sK0%dEcdBkq^IKHk1YjH$=nnF7Ty!xwC$G# zue&7=ip5zqQH$b~I{P(WE|;6PWL6&6w%JK^yK_P_UKW_!D#nY&`@FADI~f%K*)h%LDt4m(x^4!pP~J7T4s}+aA>L zEO&%5Agj^3DKLAEClg6HLHoU85dwEkeK~}OncJ0Rrd}%*L-N`yb_ajena(i(t*Aoo zMeL_cX4M`YPU+`qn1DHZMTns7`_aTaV#P`_ijBc3p)SZUer>=V`iX>3uVrv7tq_tB z8AsFr4EQ#udS;}ppAM=GL+P0 z%~L$x;r_()G(nr*)fctkJmyHdG*>hJ>7BH^@bQ&Co2{$DETGQYzxvtbVXq#fxgj^} zX2m04<`-=V_f#ko2*$-R`%o{7ePx3p=c=*2qjad87xt+mH={G@iWoRy%Q9XKYu|6L zy>acyxV9!2*#ds!6syw31nRU_=ncPi1^sTh)*K(9dml1eISy)8r~@jkz%eJYk~(9u zi0=u+LW&3(X-&@(ZJ&Oj*wwKI#GM`@;n#fIJnC8ynJB3MWk^ztLlpgxyuMk_X2I9I zk5|WkY&m6sRPp7Hd%AxQQn|>RKT72i5*ggzbAsR{iB)8b=6@C?;vxx;hCjqTd|VR; z6alkSk8_<<8-vz8Zmj_eIi?wE@8;hfcb280dq*ikaDf?TtB_$WB<^t9gI)aA88>l3T;#vk~vib&UBd ze=-xiak897W)cyecHS?kYf>wr3P=|y@5H8Mi^~)|x?|3qkQvmuB_yo#!@`WJqU$$z z4BOoIT6fmC|fso1$=H`B_nc&mU&2T=H5gOmNsF@2xb2w3O z2=LeE7LWVM$0`-=ofmM~hw{??nxt)jUumzd1L@b)3XJ(7H!O%{rDPJ6}`tasZNn9x0elNR$_#Oy=XbW42sQyn>5v>2;i_?>s< zHH0@iue_GtM7pNyRGZOTrfZE1Ce1Sq3*F}lMea6lpAN3ah+t;p-*$vQZ1haOljLHA zSEIQ0&Jwl${*4TwY=^0}cOKqaXh5q)d;AD079F$tb$HLCmtGs6c}TF~v`tm$wL4uF zLE{4YhAtj$|4oLdB?%gE-QSU%q?t;1K+#JnuM_pV*pDI1$@hd(hLADtN<$0UnTJP) zaKOt9@6C=eAyKcrF=(?mS_Ca3uPY@Uh4mqF$5{+HvP#7HK3rZx_&j*VTv!N~($JYr z%?YH5{4h;^{D|B>avikAU+HXyC)Q#9NXwm8PB3&XmSE6@+1S2us?i)@yOOXE|MhN` zboWr4T1(frX3jL^>w?$)5}nB$60OA2^XuL@InnNZf^CT}HlwG}Fm8uz6hWi;%j={| zEg>f#f-$_`QuG>L6sa~$Vu?uNWO5M5Tz5g@-rMnYd~a2pm7K;)`8?#amvTCBq*hTJ zL-ceN=A6@6!TTg8aN%|$68dFt5Ib!r$yQ5X2X-DQd5(a*!hJ8tTRVQ693Ngjw0C-K zG?E~tm8l|m2fdZQ>-+VP_TVr3A`}_0vcZDa1L$9godIxzdO9IczyZXaJGk`Qi*r_( zW5HjJUs1d4QHb>_%QK~qjCY9o_Hw8*LM5qu0HZ4_e=4^_s_w497ytVCbx>!il9|(l z;FrT%4i+En2lE`H<-aJ*gJ;3Np5trhSrxw#Ti&|&+9`lOG%QSlT>S7XeHgyxsY5%? zTo{WCdAnJ-e_;7Epk>u|4KDw<4=4OfVSV;y+DsR%#gKx+N;P`^FkvCXJ` zgRA#8m`i+Wd&dUExbE)q#0<~VTxj9La(=nju$@=8yTZN*n{1Bd4bm=eA#yI2D*816 zM|^E-xQBIRl(6WLhGJug;j8zES%#}}bgf1{ZyR@bEkFZ_yMZMm*OsSKc5fcNRvqyXt9;x@ z<@}TN+sD4%)yCG>J}KeZ){A*`oj@Rb;}jO%b?XsrfLXgL{#PeY-`9Rk!UTtauab%< zMWVMlm2EF$z2{Lft3@k%88bt*vAd#hIjcehS?)5TeZj7K#W^=nVvE1J2tG$kX zu@6^nl5{P%y-}`@%4ZUE#Ahb1$T_8#ll>t_nlIsT_89W`VVEh)t}z6UHVfoR(W}6m z3IcV`Q-&3QjjDz3-9+lpI|N#jS^?v4BIf6(X)k`3J9vtEAlu;&ZS!ilf&~9F2kz+% z0qeAAHm#RE&?u%N)jiee`ATwsff(;D zuHI*f%qn^UQ!*U{DPP{HBsx9o#sfpSh#QuhfMA`0b?`Se|oC&*WQ zsZOSnwZlRLNCGfB+gnsst}2Y^WL-`Q4f)$%-+_VG!tv|luNBScdS@M{`r98Fa|woG z1!U5PtulH~MLew(+Q%b^Dhoh=hjQNC#v(uhbO>Ml?f_4_o~!i!*U;Pipz^lddwg+z zh)@>V&L7SCjKQRQ%{e#8h8pp>RHpNH8Gl&#a;%QbyyxI~048AGTS0KDvlFUU$uH!7 zv0{q`Iy0~G*0y`pHSGBiB@reXoSyTO{1~(nn5svArphWT`~w2z zicjlQJFGokA3<2d+*o*05X7xCrZ^TXMoet}aX=wA)M5g_x&`Q1L{G0Q2@#QRD^?iD z+h|eUStM*q&5N5Zq9}gwJQD~`*M{6NX5WJqvvQ zVKbwTU0gxiq*ejCuLHR}L#(5m+A|IB#Ny!*y#cE!Ki(YCas)hcC=Rnw$$Fom*fgLq zk&oPD;AKb_NRjPS9|)?uQXQPx$%O1%;d}lv(gyNmZvTF>uElwbOQf=odP(FxDiV&R z@x5AZYrSFx6OyCPsB`f(zrLBzM5U1;bNaQe1~P3&szF+R;-l=f{X^mbD~B0r&q)9% zE=*LI7@mNb&9!2ta11(f$4$P^g~J#$kZ}0QR{C^dC*Y1xrJn`F{_V3A*PyMH zgomm9$|OV3%9_q0TKnnlk5dbbfAXiMlgierru3EN4T?~(sqAPB%E(u^zJI#poYFf(b8?=uhzR$vH z^33jbE88xDdLMoD-@7`zyr(cfQqip3+!=-Y-q*Fu ze(4m3I(*OG?F)ZuLb)H&f5PIIJ#BtoGKRTId2b{?W;u1ehV91w6Omx=_0`#z9!E-1 zr@Tr+3*o6V|h#>dB@hCrPf|!4@K8PV3kQ*)>Gfr54#xtF(x083o;*!sOW zgwp|lZj2T+mi4117g18im-P_I1;5OT78+7-RTlU zSfN@Z=sRirUqyl+QkhP80$~*Sfnm$OUrr!;)o1+_VFht%S#(_?a%U@4GjrdBn>l!b zle0wkN61JKc47P^?32 zIpUr^ryY=3*w{IoHs2Njti_*o-D3+bWqOhN!O-kT2%w>uNVs0*nAD@1CJ?)Au52?x*HfYV(jgkwN%1#?F<21ZZM rHMI1ya7UL#S{TQFslO5@oRaeAMw{0e+IGNC0pfwxb=AsMtit{Wi1!Io diff --git a/docs/db.tex b/docs/db.tex index d9c1d53..f74cdcf 100644 --- a/docs/db.tex +++ b/docs/db.tex @@ -11,7 +11,7 @@ \usepackage{graphicx} \usepackage{comment} -\title{$\partial\mathbb{B}$ nets learn boolean functions by\\backpropagation} +\title{$\partial\mathbb{B}$ nets: learning boolean functions by\\gradient descent} % Authors must not appear in the submitted version. They should be hidden % as long as the \iclrfinalcopy macro remains commented out below. @@ -43,17 +43,17 @@ \begin{abstract} $\partial\mathbb{B}$ nets are differentiable neural networks - that learn discrete boolean functions by backpropagation. - $\partial\mathbb{B}$ nets, once trained, `harden' to boolean functions with identical semantics. In consequence, the boolean functions have identical accuracy to the trained nets, unlike existing approaches to neural network binarization. Experiments demonstrate that $\partial\mathbb{B}$ nets achieve competitive performance on standard machine learning problems yet are significantly more compact (due to 1-bit weights) and interpretable (due to the logical nature of the learnt function). + that learn discrete boolean functions by gradient descent. + $\partial\mathbb{B}$ nets, once trained, `harden' to boolean functions with identical semantics. In consequence, the boolean functions have identical accuracy to the trained nets, unlike existing approaches to neural network binarization. Experiments demonstrate that $\partial\mathbb{B}$ nets achieve comparable performance on standard machine learning problems yet are significantly more compact (due to 1-bit weights) and interpretable (due to the logical nature of the learnt function). \end{abstract} \section{Introduction} -Neural networks are typically trained by gradient descent in weight-space, where the direction of descent minimises some loss function. The backpropagation algorithm \citep{rumelhart1986learning} is a highly efficient method to calculate the partial derivatives of the loss with respect to the network's weights. In consequence, typical neural networks are differentiable functions with weights represented by machine floats. This approach has led to tremendous advances in machine learning. +Typical neural networks are differentiable functions with weights represented by machine floats. Training consists of gradient descent in weight-space, where the direction of descent minimises loss and the gradient is efficiently calculated by the backpropagation algorithm \citep{rumelhart1986learning}. This approach has led to tremendous advances in machine learning. -However, there are drawbacks. First, we cannot easily learn discrete functions, such as logical predicates. In consequence, interpreting or verifying what a network has learned is difficult. Also, many learning problems naturally arise in boolean rather than real-valued domains. Second, representing weights as machine floats confers the benefit of time-efficient training but at the cost of memory-inefficient trained models. For example, network quantisation techniques (TODO:refs) demonstrate that full 64 of 32-bit precision weights are often unnecessary for a network's predictive performance, although there is a trade-off. +However, there are drawbacks. First, the differentiability requirement means we cannot easily learn discrete functions, such as logical predicates. In consequence, interpreting or verifying what a network has learned is difficult. Also, many learning problems naturally arise in discrete rather than continuous domains. Second, representing weights as machine floats enables time-efficient training but at the cost of memory-inefficient models. For example, network quantisation techniques (TODO:refs) demonstrate that full 64 of 32-bit precision weights are often unnecessary for final predictive performance, although there is a trade-off. -This paper proposes a new approach to mitigating these drawbacks. The main idea is to define a type of neural network, called a $\partial \mathbb{B}$ net, which has two aspects: a `soft' aspect, which is a differentiable real-valued function trainable by backpropagation, and a `hard' aspect, which is a non-differentiable boolean function. Both aspects are semantically equivalent. We train the `soft' net as normal, using backpropagation, then `harden' the network and its weights to yield a learned boolean function with equivalent predictive performance (see figure \ref{fig:main-idea}). In consequence, interpreting and verifying what a $\partial \mathbb{B}$ net has learned is relatively less difficult. The option to bias towards learning boolean functions will reduce variance in some domains. And boolean-valued, 1-bit weights increase the memory-efficiency of trained models. +This paper proposes a new approach to mitigating these drawbacks. The main idea is to define a type of neural network, called a $\partial \mathbb{B}$ net, which has two aspects: a soft net, which is a differentiable real-valued function, and a hard net, which is a non-differentiable, discrete function. Both aspects are semantically equivalent. We train the soft net as normal, using backpropagation, then `harden' the learned weights to boolean values and bind them with the hard net to yield a discrete function with identical predictive performance (see figure \ref{fig:main-idea}). In consequence, interpreting and verifying a $\partial \mathbb{B}$ net is relatively less difficult. The bias towards learning discrete functions reduces variance in some domains. And boolean-valued, 1-bit weights increase the memory-efficiency of trained models. The main contributions of this work are (i) defining novel activation functions that `harden' to semantically equivalent boolean functions, (ii) defining novel network architectures to effectively learn boolean functions that solve multi-class classification problems, and (iii) experiments that demonstrate $\partial \mathbb{B}$ nets compete with existing approaches in terms of predictive performance yet yield considerably smaller models. @@ -62,7 +62,7 @@ \section{Introduction} \begin{figure}[h] \centering \includegraphics[width=0.9\textwidth]{db-net.png} - \caption{{\em Learning discrete boolean-valued functions with a $\partial\mathbb{B}$ net.} A $\partial \mathbb{B}$ net specifies (i) a differentiable neural network that is hard-equivalent to (ii) a non-differentiable discrete function. The neural network is trained as normal with backpropagation to yield a set of real weights. The real weights are hardened to boolean values and then bound with the discrete function. The result is a learned discrete function that performs identically to the trained network.} + \caption{{\em Learning discrete functions with a $\partial\mathbb{B}$ net.} A $\partial \mathbb{B}$ net specifies (i) a differentiable neural network that is hard-equivalent to (ii) a non-differentiable discrete function. The neural network is trained as normal with backpropagation to yield a set of real weights. The real weights are hardened to boolean values and then bound with the discrete function. The result is a learned discrete function that performs identically to the trained network.} \label{fig:main-idea} \end{figure} @@ -71,10 +71,14 @@ \section{Related work}\label{sec:related-work} \section{$\partial\mathbb{B}$ nets} +A $\partial \mathbb{B}$ net has two aspects, a soft net and a hard net. Both nets use bits to represent transitory values and learnable weights. However, a soft net uses soft-bits and a hard net uses hard-bits. + \begin{definition}[Soft-bits and hard-bits] A {\em soft-bit} is a real value in the range $[0,1]$ and a {\em hard-bit} is a boolean value from the set $\{0,1\}$. A soft-bit, $x$, is {\em high} if $x>1/2$, otherwise it is {\em low}. \end{definition} +A hardening function converts soft-bits to hard-bits. + \begin{definition}[Hardening] The {\em hardening} function, $\operatorname{harden}(x_{1}, \dots, x_{n}) = [f(x_{1}), \dots, f(x_{n})]$, converts soft-bits to hard-bits, where \begin{equation*} @@ -86,21 +90,53 @@ \section{$\partial\mathbb{B}$ nets} \end{equation*} \end{definition} +The soft-bit value $1/2$ is therefore a threshold. Above this threshold the soft-bit represents $\text{True}$, otherwise it represents $\text{False}$. + +A soft net is any differentiable function, $f$, that `hardens' to a semantically equivalent discrete function, $g$. For example, if $f(x) = 1 - x$, where $x \in [0,1]$, and $g(y) = \neg y$, where $y \in \{0,1\}$ then: if $x$ is high (resp. low) then both $f(x)$ and $g(\operatorname{harden}(x))$ are low (resp. high). In other words, $f$ is hard-equivalent to boolean negation. More generally: + \begin{definition}[Hard-equivalence] - A function, $f: [0,1]^n \rightarrow [0,1]^m$, is {\em hard-equivalent} to a boolean function, $g: \{1,0\}^n \rightarrow \{1,0\}^m$, if + A function, $f: [0,1]^n \rightarrow [0,1]^m$, is {\em hard-equivalent} to a discrete function, $g: \{1,0\}^n \rightarrow \{1,0\}^m$, if \begin{equation*} \operatorname{harden}(f(\operatorname{harden}({\bf x}))) = g(\operatorname{harden}({\bf x})) \end{equation*} for all ${\bf x} \in [0,1]^{n}$. \end{definition} -\subsection{Differentiable boolean functions} +$\partial \mathbb{B}$ nets are arbitrary compositions of differentiable functions that are hard-equivalent to boolean functions (and natural generalisations). -Weights are trainable soft-bits. A high weight implies the corresponding operation is masked out and therefore inactive. +Neural networks are typically composed of nonlinear activation functions (for representational generality) that are strictly monotonic (so gradients always exist that link changes in inputs to outputs) and differentiable (so gradients reliably represent the local loss surface). Activation functions that are only monotonic (so some gradients are zero) and differentiable almost everywhere (so some gradients are undefined) can also work, e.g. RELU \citep{10.5555/3104322.3104425}. $\partial \mathbb{B}$ nets are also composed of `activation' functions that satisfy these properties. But $\partial \mathbb{B}$ net activation functions must also satisfy the additional requirement of hard-equivalence. -TODO: requirements are smooth almost everywhere, strictly increasing or decreasing (i.e. no zero gradient). We also want to maximise fan-in information where necessary (for backprop error signal) but also minimize it where necessary (e.g. picking a representative bit we want to optimize). Representative bit when we want a vector-wise update; otherwise, min/max. +\begin{figure}[t] + \centering + \includegraphics[trim=0pt 0pt 0pt 0pt, clip, width=0.975\textwidth]{logic-gates.png} + \caption{{\em Gradient-rich versus gradient-sparse differentiable boolean functions.} Each column contains contour plots of functions $f(x,y)$ that are hard-equivalent to a boolean function (one of $\neg(x \oplus y)$, $x \wedge y$, $x \vee y$, or $x \Rightarrow y$). Every function is continuous and differentiable almost everywhere (white lines indicate non-continuous derivatives). The upper plots are gradient-sparse, where vertical and horizontal contours indicate the function is constant with respect to one of its inputs, i.e. $\partial f/\partial y = 0$ or $\partial f/\partial x = 0$. The lower plots are gradient-rich, where the curved contours indicate the function always varies with respect to any of its inputs, i.e. $\partial f/\partial y \neq 0$ and $\partial f/\partial x \neq 0$. $\partial \mathbb{B}$ nets use gradient-rich functions to ensure that error is always backpropagated to all inputs.} + \label{fig:gradient-rich} +\end{figure} + +\subsection{Learning to negate} + +We want to learn whether to negate a boolean value, $x$, or simply leave it unaltered. We represent this decision by a boolean weight, $w$, where low $w$ means negate and high $w$ means do nothing. The boolean function that meets this requirement is $\neg(x \oplus w)$. However, this function is not differentiable. We therefore define the differentiable function, + \begin{equation*} + \begin{aligned} + \partial\text{NOT}: [0, 1]^{2} &\to [0,1], \\ + (w, x) &\mapsto 1 - w + x (2w - 1)\text{,} + \end{aligned} + \end{equation*} +which is hard-equivalent to the boolean function $\neg(x \oplus w)$ (see proposition \ref{prop:not}). + +Note that $\operatorname{min}$ is hard-equivalent to $\wedge$ and $\operatorname{max}$ is hard-equivalent to $\vee$. So the function $\operatorname{max}(\operatorname{min}(w, x), \operatorname{min}(1-w, 1-x))$ is also hard-equivalent to $\neg(x \oplus w)$. But $\partial\text{NOT}$, in contrast, is a gradient-rich function that always backpropagates error to all its inputs (see figure \ref{fig:gradient-rich}). + +\subsection{Differentiable $\wedge$} + +As stated $\operatorname{min}(x, y)$ is differentiable and hard-equivalent to $x \wedge y$. However, it is gradient-sparse, e.g. $\frac{\partial}{\partial x} \operatorname{min}(x,y) = 0$ when $(x,y)=(0.9,0.1)$. Other soft logic functions, such as $f(x,y) = x y$, are not hard-equivalent at intermediate soft-bit values, e.g. $f(0.6, 0.6) = 0.36$. To construct a gradient-rich, hard-equivalent function we first observe that $\operatorname{min}(x,y)$ essentially selects one of $x$ or $y$ as a `representative soft-bit' that is guaranteed to be hard-equivalent to $x \wedge y$. The representative bit, whether low or high, has a corresponding margin up to the threshold value $1/2$. + +\begin{figure}[t] + \centering + \includegraphics[width=1.0\textwidth]{margin-trick.png} + \caption{{\em todo}.} + \label{fig:margin-trick} +\end{figure} -TODO: min/max are a degenerate case of sorting/ordering Define \begin{equation*} @@ -122,29 +158,6 @@ \subsection{Differentiable boolean functions} \end{aligned} \end{equation*} -\begin{figure}[t] - \centering - \includegraphics[trim=0pt 0pt 0pt 0pt, clip, width=0.975\textwidth]{logic-gates.png} - \caption{{\em Gradient-rich versus gradient-sparse differentiable boolean functions.} Each column contains contour plots of functions $f(x,y)$ that are hard-equivalent to a boolean function (one of $\neg(x \oplus y)$, $x \wedge y$, $x \vee y$, or $x \Rightarrow y$). Every function is continuous and differentiable almost everywhere (white lines indicate non-continuous derivatives). The upper plots are gradient-sparse, where vertical and horizontal contours indicate the function is constant with respect to one of its inputs, i.e. $\partial f/\partial y = 0$ or $\partial f/\partial x = 0$. The lower plots are gradient-rich, where the curved contours indicate the function always varies with respect to any of its inputs, i.e. $\partial f/\partial y \neq 0$ and $\partial f/\partial x \neq 0$. $\partial \mathbb{B}$ nets use gradient-rich functions to ensure that error is always backpropagated to all inputs.} - \label{fig:and-plot} -\end{figure} - -\subsubsection{Not} - -TODO: this is not the not operator, but `learn not'. - -Define - \begin{equation*} - \begin{aligned} - \partial\text{NOT}: [0, 1]^{2} &\to [0,1], \\ - (w, x) &\mapsto 1 - w + x (2w - 1)\text{,} - \end{aligned} - \end{equation*} -where $w$ is a weight and $x$ is a soft-bit value. -$\partial${NOT} is hard-equivalent to the boolean function $\neg(x \oplus w)$ (proposition \ref{prop:not}). If the weight is high then $\partial${NOT} is hard-equivalent to the boolean identity function; otherwise it is hard-equivalent to $\neg$. In consequence, we can learn to logically not, or simply pass through, the input value $x$. - - -\subsubsection{And} Define \begin{equation*} @@ -166,7 +179,11 @@ \subsubsection{And} $\partial${AND} is hard-equivalent to the boolean function $x \wedge y$ (proposition \ref{prop:and}). -\subsubsection{Or} +We also want to maximise fan-in information where necessary (for backprop error signal) but also minimize it where necessary (e.g. picking a representative bit we want to optimize). Representative bit when we want a vector-wise update; otherwise, min/max. + +TODO: min/max are a degenerate case of sorting/ordering + +\subsection{Differentiable $\vee$} Define \begin{equation*} @@ -202,7 +219,7 @@ \subsubsection{Or} $\partial${OR} is hard-equivalent to the boolean function $x \vee y$ (proposition \ref{prop:or}). -\subsubsection{Implies} +\subsection{Differentiable $\Rightarrow$} Define \begin{equation*} @@ -214,7 +231,7 @@ \subsubsection{Implies} where $w$ is a weight and $x$ is a soft-bit value. $\partial${IMPLIES} is hard-equivalent to the boolean function $w \Rightarrow x$ (proposition \ref{prop:implies}). -\subsubsection{Majority} +\subsection{Differentiable majority} \begin{figure}[t] \centering @@ -257,7 +274,7 @@ \subsubsection{Majority} TODO: explain how we use sort to avoid space blow-up. TODO: discuss time-complexity of sort. -\subsubsection{Count} +\subsection{Differentiable integer count} Define \begin{equation*} @@ -407,20 +424,19 @@ \section{Proofs} $\partial${NOT} is hard-equivalent to the boolean function $\neg (x \oplus w)$. \begin{proof} - Table \ref{not-table} is the truth table of the boolean function $\neg (x \oplus w)$. + Table \ref{not-table} is the truth table of the boolean function $\neg (x \oplus w)$, where $h(x) = \operatorname{harden}(x)$. \begin{table} \begin{center} - \begin{tabular}{lll} - \multicolumn{1}{c}{$h(w)$} &\multicolumn{1}{c}{$h(x)$} &\multicolumn{1}{c}{$\partial\text{NOT}(h(w), h(x))$} + \begin{tabular}{cccccc} + \multicolumn{1}{c}{$w$} &\multicolumn{1}{c}{$x$} &\multicolumn{1}{c}{$h(w)$} &\multicolumn{1}{c}{$h(x)$} &\multicolumn{1}{c}{$\partial\text{NOT}(h(w), h(x))$} &\multicolumn{1}{c}{$h(\partial\text{NOT}(h(w), h(x)))$} \\ \hline \\ - 0 & 0 & 1\\ - 1 & 0 & 0\\ - 0 & 1 & 0\\ - 1 & 1 & 1\\ + $\left[0, \frac{1}{2}\right]$ & $\left[0, \frac{1}{2}\right]$ & 0 & 0 & 1 & 1\\[0.1cm] + $\left(\frac{1}{2}, 1\right]$ & $\left[0, \frac{1}{2}\right]$ &1 & 0 & 0 & 0\\[0.1cm] + $\left[0, \frac{1}{2}\right]$ & $\left(\frac{1}{2}, 1\right]$ &0 & 1 & 0 & 0\\[0.1cm] + $\left(\frac{1}{2}, 1\right]$ & $\left(\frac{1}{2}, 1\right]$ &1 & 1 & 1 & 1\\[0.1cm] \end{tabular} \end{center} \caption{$\partial${NOT} is hard-equivalent to $\neg (x \oplus w)$.}\label{not-table} - \end{table} \end{proof} \end{prop} @@ -429,63 +445,60 @@ \section{Proofs} \begin{prop}\label{prop:and} $\partial${AND} is hard-equivalent to the boolean function $x \wedge y$. \begin{proof} - Table \ref{and-table} is the truth table of the boolean function $x \wedge y$. + Table \ref{and-table} is the truth table of the boolean function $x \wedge y$, where $h(x) = \operatorname{harden}(x)$.. \begin{table} \begin{center} - \begin{tabular}{llll} - \multicolumn{1}{c}{$h(x)$} &\multicolumn{1}{c}{$h(y)$} &\multicolumn{1}{c}{$\partial\text{AND}(h(x), h(y))$} &\multicolumn{1}{c}{$h(\partial\text{AND}(h(x), h(y)))$} + \begin{tabular}{cccccc} + \multicolumn{1}{c}{$w$} &\multicolumn{1}{c}{$x$} &\multicolumn{1}{c}{$h(w)$} &\multicolumn{1}{c}{$h(x)$} &\multicolumn{1}{c}{$\partial\text{AND}(h(w), h(x))$} &\multicolumn{1}{c}{$h(\partial\text{AND}(h(w), h(x)))$} \\ \hline \\ - 1 & 1 & 1 & 1\\ - 1 & 0 & 1/4 & 0\\ - 0 & 1 & 1/4 & 0\\ - 0 & 0 & 0 & 0\\ + $\left[0, \frac{1}{2}\right]$ & $\left[0, \frac{1}{2}\right]$ & 0 & 0 & 0 & 0\\[0.1cm] + $\left(\frac{1}{2}, 1\right]$ & $\left[0, \frac{1}{2}\right]$ &1 & 0 & $\frac{1}{4}$ & 0\\[0.1cm] + $\left[0, \frac{1}{2}\right]$ & $\left(\frac{1}{2}, 1\right]$ &0 & 1 & $\frac{1}{4}$ & 0\\[0.1cm] + $\left(\frac{1}{2}, 1\right]$ & $\left(\frac{1}{2}, 1\right]$ &1 & 1 & 1 & 1\\[0.1cm] \end{tabular} \end{center} \caption{$\partial${AND} is hard-equivalent to $x \wedge y$.}\label{and-table} - - \end{table} + \end{table} \end{proof} \end{prop} \begin{prop}\label{prop:or} $\partial${OR} is hard-equivalent to the boolean function $x \vee y$. \begin{proof} - Table \ref{or-table} is the truth table of the boolean function $x \vee y$. + Table \ref{or-table} is the truth table of the boolean function $x \vee y$, where $h(x) = \operatorname{harden}(x)$.. \begin{table} - \begin{center} - \begin{tabular}{llll} - \multicolumn{1}{c}{$h(x)$} &\multicolumn{1}{c}{$h(y)$} &\multicolumn{1}{c}{$\partial\text{OR}(h(x), h(y))$} &\multicolumn{1}{c}{$h(\partial\text{OR}(h(x), h(y)))$} - \\ \hline \\ - 1 & 1 & 1 & 1\\ - 1 & 0 & 3/4 & 1\\ - 0 & 1 & 3/4 & 1\\ - 0 & 0 & 0 & 0\\ - \end{tabular} - \end{center} - \caption{$\partial${OR} is hard-equivalent to $x \vee y$.}\label{or-table} - - \end{table} + \begin{center} + \begin{tabular}{cccccc} + \multicolumn{1}{c}{$w$} &\multicolumn{1}{c}{$x$} &\multicolumn{1}{c}{$h(w)$} &\multicolumn{1}{c}{$h(x)$} &\multicolumn{1}{c}{$\partial\text{OR}(h(w), h(x))$} &\multicolumn{1}{c}{$h(\partial\text{OR}(h(w), h(x)))$} + \\ \hline \\ + $\left[0, \frac{1}{2}\right]$ & $\left[0, \frac{1}{2}\right]$ & 0 & 0 & 0 & 0\\[0.1cm] + $\left(\frac{1}{2}, 1\right]$ & $\left[0, \frac{1}{2}\right]$ &1 & 0 & $\frac{3}{4}$ & 1\\[0.1cm] + $\left[0, \frac{1}{2}\right]$ & $\left(\frac{1}{2}, 1\right]$ &0 & 1 & $\frac{3}{4}$ & 1\\[0.1cm] + $\left(\frac{1}{2}, 1\right]$ & $\left(\frac{1}{2}, 1\right]$ &1 & 1 & 1 & 1\\[0.1cm] + \end{tabular} + \end{center} + \caption{$\partial${OR} is hard-equivalent to $x \vee y$.}\label{or-table} + \end{table} \end{proof} \end{prop} \begin{prop}\label{prop:implies} $\partial${IMPLIES} is hard-equivalent to the boolean function $w \Rightarrow x$. \begin{proof} - Table \ref{implies-table} is the truth table of the boolean function $x \Rightarrow y$. + Table \ref{implies-table} is the truth table of the boolean function $x \Rightarrow y$, where $h(x) = \operatorname{harden}(x)$.. \begin{table} - \begin{center} - \begin{tabular}{llll} - \multicolumn{1}{c}{$h(w)$} &\multicolumn{1}{c}{$h(x)$} &\multicolumn{1}{c}{$\partial\text{IMPLIES}(h(w), h(x))$} &\multicolumn{1}{c}{$h(\partial\text{IMPLIES}(h(w), h(x)))$} - \\ \hline \\ - 1 & 1 & 3/4 & 1\\ - 1 & 0 & 0 & 0\\ - 0 & 1 & 1 & 1\\ - 0 & 0 & 3/4 & 1\\ - \end{tabular} - \end{center} - \caption{$\partial${IMPLIES} is hard-equivalent to $w \Rightarrow x$.}\label{implies-table} - - \end{table} + \begin{center} + \begin{tabular}{cccccc} + \multicolumn{1}{c}{$w$} &\multicolumn{1}{c}{$x$} &\multicolumn{1}{c}{$h(w)$} &\multicolumn{1}{c}{$h(x)$} &\multicolumn{1}{c}{$\partial\text{IMPLIES}(h(w), h(x))$} &\multicolumn{1}{c}{$h(\partial\text{IMPLIES}(h(w), h(x)))$} + \\ \hline \\ + $\left[0, \frac{1}{2}\right]$ & $\left[0, \frac{1}{2}\right]$ & 0 & 0 & $\frac{3}{4}$ & 1\\[0.1cm] + $\left(\frac{1}{2}, 1\right]$ & $\left[0, \frac{1}{2}\right]$ &1 & 0 & 0 & 0\\[0.1cm] + $\left[0, \frac{1}{2}\right]$ & $\left(\frac{1}{2}, 1\right]$ &0 & 1 & 1 & 1\\[0.1cm] + $\left(\frac{1}{2}, 1\right]$ & $\left(\frac{1}{2}, 1\right]$ &1 & 1 & $\frac{3}{4}$ & 1\\[0.1cm] + \end{tabular} + \end{center} + \caption{$\partial${IMPLIES} is hard-equivalent to $x \Rightarrow y$.}\label{implies-table} + \end{table} \end{proof} \end{prop} diff --git a/docs/majority-gates.png b/docs/majority-gates.png new file mode 100644 index 0000000000000000000000000000000000000000..8e72807d0c1996034a1c0640250536f1fafaa6f6 GIT binary patch literal 192547 zcmd43cQ}@RA3lE3unMIpnUz^aQe>p0NJ6qgC{ZMPXBDMkq>Mz!h{&kO%4ne!*~uz< z%ijFXt7m?Dj_>jN=l93&K91+{ad*3}_w|0i#`!v5=j*<$uBy16mX($ui1o*n6f_8e z+KeDp2U1hw9ZFsifBdL+)6{j)IOoh|V`ptRZB?>uCSxpDM@i>RdKkeW|vTJ+9_Mm&$N5 z)x9?@kud{YvWxVoi{k#DT=N#J9^@TdyFrb6j54dQ$%cMowCBjgn<&?j>^3UdOvCLf za;cK~FNW@8$cURPD}9+`%;HPLYK-%2n=%eZ zbsbJyn>je2voj@**qNSlFulO#Z0>N0%i)qKmyWfinccZ7Tq@_RE;^pOXv!tU zEJ1J)#}y81xYv&$6?CiPmbc|2U#)N4)Gg)bzppySz{tf|er(!dW+E=iZN9Q5LHcp}$Uytd zUXk?lqLhIPb*Gc&>*DroSx27npI1p<9zXlPej&WaTSDlGeexNNz1`h3+%2uGvNAFu z^i+g#UR+#UN5^??-;9imWAUe?*a+_%>(;)1@5iu)M~aX7cbIrKiYTsSjB3BE&Q$VJ>^Ng zY>OK=Zwj*06D4-I0t1H(qr8HG!Z$Gr!jCt!uc)YKYM}l>*u4gdf35dY1YzSoGupng zI8jBlZVMv^$4GzwnPShSzP>)56JZ9$o~`-PQqChSaYygYPxjY7KeLyUlheqk{a66& zdUmPFrJ43(=h0}#nKeYE`O5OrUb8Qk8q?1j8^^}P7+tu~)%EE?&Xwk;jf0on8k1BX zk55k4T@t@`?b^OV5kg%yGPFJ=#b#q%@8ujuT&TedJNm*cgH#s?3yx1)g zx&KOv<@NCJ#;61K%)$n`OCA)a2}wy63_Ts`Udi7Bwn;oyiz)J0n5HcrZb)lR(MtW1 zeOc$oRgvAhhkj%aM(n-l%Sb^%v6(~L+oEQ0DqQ&NMwy3nswMk*@)_fjlP@hV&Q*kq zhzJP@tz2<&ndOUd7qjas9~h><4BFaM4Ka}%YrW1Li-o&7P1FVhoxX6D%fr<(d1dDuj;+)}?9es#3Bmv$ZR3ODj} zU0L?%PlX*|BVm=z`4o$jwQ5Iht_w~*KO%N`{V!oA$yI+IcyVzNPsAqeq%z+(IJhwM zs>*4w;cIiV^nnAet@(~DB8DMFcFxW#!#V9zjsq9QioC~jD^{mme6?|@aHj3*(o|!2 z(8yo--jb;+C63-yT2+FTQWy zylFJN`gPWC=xd~e{%es~c^G%FM!ss&X({H|V{aBl3hZbD{Qck9cHSJzK^W+3dX*$| z4i4PVx`1sSXh^$ku!m~(YF%d*Z-u1V<8zCZkENB%DC?- z_c^?dT*xDYj?eOjP+N{1oASNj>@zaT1-Ob)d#5_CQEG>uNYM)geiksKGyFr&| zd+yw?>uczCf3HAHES~GxWGwS8b zm&_uDy8{Z}ym@`4xgqxOs!kfj7yTToP%j_-JiA2qUzu8Oe!ru`qrC1|OHpFp^i+XG zKH=$8PaIlJu6ga#0_RbBI=a2lKY#ri`@|Q6D5p685JxlFcdBA~4WU|Y#xoCB?=FiB zV%=vk*6|TRs+7sVz`(2$>+ezNk2lOPDs;p+?YfoW5##m-XU_&?To4=E?MWQkx_?)-*Yey&*Tv~(Yn}Zkt#atN{bRlpQT3AU=y;uYb-G)3w?RxPax+aU z!nB)q6Ow$eGPgp{+NURLW?z(X47L}0neOHES{w^xm)?KrTP&_z7Q`vxtVsOKveb@i z&$T_mdMW!yLz=$Mej!OoU8|h-H?FnU*(uDPm{P{3baZy^GgCfsBK5YC(@2Xz5CWU| z`KMz!%m!z83khZFUjqX_3a>iXJ_r~+{A;TSF=T*L^yPDJ>F9WNTuqI}+~=43uly*_ z84T?m9Tkyd9jkkGx?b+IpnyPxxVeU*VKif$Vh{&nNJh_EibESzb>mjBfm^q3t#PSI zIL>QkA^xbdEC{RYEDhKO%iD*A8=K%`gHvwiKSxG{i-%I=$JgH&7d-S83oaRh*&O3g zJbE*hQ3@8F9$=%L3k;lM&9({|RTAh<&vQmp zXV$@t@IHfct0>$GGl5$^Dv%;d#P!4aO4TG+I_`=HMov#P8Vx!~nadcL5cV^a4=d`} z)d*wD@_XFlLcc@L00+Yve3}2&9da6+1Y0muSl{@KQbcq|+qo5yRbMMB zRZpBK@LKUyQc}ViJUl$U&aNU#=q1nHK6vFv7Q?~WpUX=N^0$Hx&hrZjTD0Wan)a|s z+8B?t90hC6Kc88L@G^-db(yo%4CUs^T_>1Ew(-zXrrqOQrE82+g@Z1^no z9+T2_{c5TDIU|T9LT&WK_f;2nRj*(BKJi3&f~|{7Zq@~$#Z;Y)gD$^g0WXW}?Cl5Z zQybwNd?z1WXwjx1uJ-uyxY^j)$jiS2z@Vk0n{r#49qUx|-?9fmtGrw(P5UZ#0KshE zcKgVKBRg^L%1w(OD5k3AG${rt?Up5Us2tcPQ7 zn`>()f+qrcbqh`H0L*|u+$XCQYZP^K8m9&u8@~nYCXBZkdCqmeG_6Rmof&B@UL3D@ z)Es_Bp!NOxBk|QrCKcnZ78V0AgoH6%SF)2b)+%LpbpRjB=FRIlWOCh$KYSnSEGuvv z)cz`AOyS+3X%I)p4R?Nt{H&v+!(`v)wc?TD{Cyn^vpx|fq#DH^j z6f#cE&R$*aod-&(mMz?7fB%ZKE^0#d!t*Jgz#akzA49xNJ4<*E^YHQ(VTCoh2;jE1 zw#bwFa-?5rYv#VT5E zcXxNd@7#-3(E#Qs4n|w@CPH-#gT34;%FA8GKk;4eaIz;d*KZC7P;F^xK?X-9Qa5?k z0QN6)?w#+|nUOP@bR`Br--jHxwzEm$J)HEbcjhQCfIDAUvT$>AkAI(KrRwKi_4JdP z7PFSL*VUaqZ!^ulK58`bT0(Fee@C7pEC^`v+43~SA%W5=>#_0iJ3&DVbabgUJ@8y3 zw|<_A=^B`etEING#FlmAY;@yu_jyiCkG6}X6*vw5NHJKwo(MdV#*=Sbp|Fviz0m9{ zYp0^M?AQk;HJPywWX1^M6ww+I5DJI=Jwz$o|gG zy*58f21cvP$`m;&7{vC!by1ya|Li&5^(oxYtv{#TbFbkn4B2bGKk4w{!}Tqa1V29? zpQ5MdUB(Waxa-i1GQr3ecq5)l%PYw&aWXD$yQ`(uK{=FU&DO<20V`7(UXDZGtDo0X zl)OmJRS=oDYM`$E4UtXIUD(ROVG>3h?KU9L-&vD*qPOyKMe0uqNoGg#6rY_=`n+`i ztq)a(VPU>uq1$*4Kq?+>2C?R1WmKNiupajZeCSvZN1=85L3`)b4{z8}cz5HR_}ba@ z;CQpME+QfskJ_G%y)6)Q_F%1grdpAZl{Fb4(bm_J_sX_-r=Z{fj`nPh75magg8pPu z?a7Cthdn(jfH=F_A6kUKr#jrD!^0)aYj*aJ=Kyn7V!ywLQj`QI7br-y1v8%ibf1T} zZHJ`i;w%n8xf4qS-hVzIO-X!wRsc{*qQQmH;_%Y-tm5A@&-vIED=;%M{zj^E?)!Fl zes&N58GCFtOfAad96@A$3*Dtt8pytDiL$%De-3qQLxxfN+J&i^nVHGSkaP!8PjPKi z1QnhjA0Ho~W^+BgAFvqzNFIc9mzh@QvOxCBO@OrNZ{`P5$0zgw(s#7qJ5@VS_iRTH zXGD!qCBWF?#0@$YUq;pdvo8<#AV#Ix=p8$DQ=DHw;C4_@csRmn9=uhnot@xUn&NSb z2>bNy$&r&)oRT&_SC&Utlsn@UgHQ{l4J=R+rhgvO9m#U7&tX=Pv-#p&T(K`BMn*=A z+{cb;YKBbO&W(4&4$X$?MClMx!uaj&`%s8A0e&?P>BU!zUv3!s60ukQ);0+%89Prs zy+`7|r>3%p{KsIYtJbc|b(>0=tVUQwp%uONV&LMPy@buBRPD5R)QpL?e)Q}`OVj!R z$4ny6=3J_l=a3Uite7*Pu1?X~Mdx%;bPF7Ks@xo@6RQrB^TZ|riM}*;1|F+ak3+@d z;_7-lgBP&Mtt($h|8+=Ne}BJL`v!u)Vyp6GZIW6=C!+Af=$6D2EC*J$Wl-0x_8eVh zydMe2w&O!r*MHa*uI83aqn8gHIDk#DD^55OE_}J+`3uX_gs~rtR{|;6oCKptePS%XwUbfLW@XjA zly$p$wIb-g#4^v|P}8fYIw3*Q?`l9R3HI#dK`=FMdf9!OiO-kO)6+93%6joT^5MmX zBI1yMszzKzaTdI$?89khp7iweE6uNE-6oS6J9@rG0!=W#xx$gW9ccf{G;$`6{xmD{ zQb((Ed)jBcPoF+97vI{=%X_SdU5mOJ{)P=w>fE6i_%N4qr6tcEk5TjeW%v@xo{5f+ zcWY*E^F@DuX?iy&CudDF1tEQ5ago{Cd4|(-_Q|REV_Iiy5nb#!_BTE`;@5R`KtJo! zug=Z~;o*F~lJ2va{hI^$%B#fI5=v1?3PJwn^okyIEjK*)GlI$oly;Qa07}zA$ zS+}gac{)ioBHD8CH}i=4YU33=5Q}`d$knQfiUNoJ`~9C_kKTJFo+XTLL8 zh`o#RgBdWl@Y1($-_p>~XyviD4M;f+@pGPOM3n=i+Vlm4&M{UO7ngOc;^i&u9?NsR z;|1klR1)hgz6Ne4hVC0?NFacD5Iq5+O6$XGzgNvdkZd zw;>LEe_^uA-v%`x7W|+T|s;SV1u{F|wHRy>;u>&l)M+yRSm~_|&39IIH?b zMwXEyK#IP8_Z!b$|N4r4oXm`wVM07L< zGc&JOOZMgPv9SfbN!9{5W{DAC`}+4JbwzT8J?*PC{c$fVVE*wnmw)~Gb^G>h5Gg?h z6^)IJ&+T8QT$!Qbn=7*6hL~#`EBp#>c@f9`U1( z*tS-PsZLyvH&cplcQp^lPzw?q$F6+5%d!Frr}mQgxbM)=5dIuHZaCl9-yd=RzQ)IJ z3PS5}#cJ)|D4uy=8m6v=6RhHwe)lKE1hVc+`4Y9V*eeH$S?T!kJulc}r9S7VxMu7j^(6^Wly;nX4ZnZA2P)8G8k=2M@B(H8?0n7`7aMDgyzDhsVFaA33$Our zx$^rxLq(WS#n-Q)yv4x1%u!rh<+jeji%>nK&gY+gszTQ6Ry;d*mUq_G)!{@_o&)E+ z0AtpuAcKmd>5c2F5J#qs8{H=R#!9zYD=kPNR{-Q7I&giptV^zz9({9~X%FGO!|vV2 zvo!$fIc;v2f4#dQf2*UT1EAr#eonekvFF)*hfiO>$^uZKX0EBJ>6$}YT?4q{RC(aU zB*+u?gYJ_1_GwYuPV{`Oj#r!+Y|H>mhAHjavJTN32eZd>mA0|*PZH_07O!{NL=rpo zAmM?G=iX9rQgfq7Yxe?y)b3Thm~}D6V>-Lh@Rjj`gmv3eW9|$D{SdBV1V_!u zalX-Rk^KYLG&&e07Ou%m5SCoqw|Ahl9Y3uim-mNG00zDEtZI6KCt8r6qj;yArVbHk|E zDZVyS$|O5LPSmL%K7LGm`t)g1lAo`yxJBJ1SPa-(cU1kMf%M73_+&5Gi0P5m1=No_ zd3ajixSmd`-3QtVRArUyObej>sUtz=Yb|d&N0dARonMS73yBQD`IQGQ>QCnF`SJ+YN5b5&lT@%M^}IY^yF(Hx1D6??5DMY}0` zHtsfde6!qohV1Lq$C^?S11P5nO`k9tBKg={7)|k;f3_t!G&J7LZ6T81BLs%hQxL{${_#>)q#!b{`}?m;JVFq< zTN!%({dhlxnX>Jjof&9pHKb?>?{2ZZdnd-neHl?x_r5hCe&()Qdj!an@m*ONpQxyM zzYRfzRa911e*L;x-uK3hyu7hyRzflpClPi=UQg!$3kwVQ?ZkN8MpbGnlRPkFUarkm zenL{P&`@MOYEb@aijpVYy}c(^fy_(OPPG&zh{29xHQI zum3#sU#G_S|AUWT6A}W{-@o4pov7~OAIMms?$Hojx7KHP)hgm)H)`P*e_jln2X{|s zd3r7bwwjojAnH6*vLuLC>Ns4fzCYQbthAJuhbMGp`aOf3e?UNMu5CPd5x*l9t6wv* zvF-LP|MF$`D;Yk%i*QHzTgc<);;d`7<2FY=_r}GA6oH)tAq_l>qUvprEd}xA*ll`Z z;Acn2#w}a;1(o}g)M8YRA0L~Z<^bZ@_=LjS2LZe}xUvi!;pg4$DA&>10D92Rwn$Vk zAc%?8YuD!I=H9aFH6iJoDzD}E>Px80Gt@8PAIYU#tX{L`wjEEtVaCcYKTcmp#Da;j zu~WQagbja|im~)&!*@=&;3_Km+}vD{F~^?d5=0Le5E^P~#%|B^2&lV+gwQqA2dyUm z1WP`GC8wM^$FlhItq&3vEe%b7b54fXISTLiKZ~VrgBM6WRyCZ(Heut?93ydI-ZxxV zV1-E^qz@86w%#z>WTAKI2xAUq2SPmn{mwD36DZB&Ku6JXqaf_;>3OOP1gL%~qQog- zVvo<;dygLr3FX=RdIzi|BP;92z?puDe9(|$-z!LjYkkg@cvIA@LfoLgwvnCCJd*N0 z;KZct)oGAeD2@}b|DQjuA?R<0(O8o1_A+6pbG?3iA&H@#B05%*V0y8#y z7ds14Vj0p$#L|xk_?$U&2JIt~2aSwuez?aZ1b@Q@%Itf{B9s34^XI{u1E=F0L+EJ< zS3U0pkO?xf~Mfj`(Gf0lv>B%i$Q?boj-i)?@Uae96moPs|+Xro~ulBFaP zS9#mRM3MFBL00;1k+6z#ShJcad7%`Zxpm!5G`hRGy0R>rULwgTQ>`H~S3@+Ad`w+k z-OQ{9&#v}Zsv9H^Xy3#gltkJ4`q)f?e)l0%Z74p-wq$kOjhYP<#O_}`J=&?-Lfjv) z!JzLzD1-!36UN-6{jBegzHd?%NW+c$^$ZWEIVcc6U0^s*VL05rckj|w)vkt;AZZfZ zjD$s(^nP#}pLE3rmV}T)xE`9vTV;71U)W&@uOi54V|Iqj?EQbeL+;gn*xo ze1Fji+X4$&=r*Mx#ZP$i{4rqcW>RfGJ?BApv>YL9z{v=*Zy+T1e?DKA3y#RJ$o&j! z*@q8V*6oH(F4%=U6jeY^y8~8HQZ54$7v$O$2ojPz$usmrS9uK`bKjI3w=b+UMBubb zH5Z}D1UR1i?wvg9bCg8aR#6>0dQ^ZEipV!LHAP29gTn!iWItfHlg|Vhl3W)%iWqkf z4=684vgZ7UTf8S9@ssP433zL)F11$I==kwZz+N{P!5E@|Quaf}HgI!u`@`>^d1cm8 z534_s(P)(KaGd%SNF20sAjcqdg?H@e1luPMEDe!Ms)Hm!RGiJVIZXX)a8N(PP}cna zR}kjEa`*ooARTf-;e;w<2n}9kDj04$vH{7IA&B=MB8Yko1B1n;i!tm{4oZK1KMMN~ z#Pyal-RH(39*LHAu58)N#Kh#cZtKR48-cfLVFwIyi{Fez>lAze&7t*a0C$G-_^Jm{ zgE2}S5Hujk*U`~Mik_24FkOF?nn=C_lJ;xVfxX<^Z(BAC0GYIrIV>K4j@vgE;RDy% zt!vx#(iAI1S=b1JpO~0Hu08;+6fCDf?*Krn(Z?x; z-?w8ep?MxWg9wxac;?+#M?NE1RK>`R4i6V1VuH(~;|7D-2-*=I&WU&nat-9`tL!8A zQ`CT`(7HK+R`Qxb4J>9U7D1Eh<5}KHxCeSQ^(cZ7R8V#Iq!*!DfJla#yUlG-sIwbA z<;zVk6B*yVk2q*72OlpvTrFm62;bFN865Afz|E27xD_s3NN|`o z9fBAlgb%fsF@mw3vJq4bX9jz^yOB*)7A3B3+lE+MP*7l)f%biI{rNS-!^w#%xe9?o z6pChPCt%;xK1g|Nn}nEj`=F|jzlGEmvZAc#(qEH^?t#AF8bY)dRaoN1H6d#K=z1bD z*0BA-dbi13Ny3j!3KgrFmDSW(so5xEZ4Jz#qcgb3lGfOt#W4ciUSz|^`g+0U-9kcRV`I$nzy^<&S>gxo z+`Y57k+Ev?xjBic=7wze;d zgTl!&rL10g#T#^0)T( zs``4Z)NEC~+ChhpJRd2RJ@uTOB_syfDwLI#-3tqS8KVsig@qgPlt5C8ik7HRpG(W) z^)0_TD=L{81`0g8=8i3c19zwLner+y}uf<(vd>A+noPkF$Z^CKk!npLGDToLNj7>~$ zl6Sd!Rew-dTV4IbR_Wl*Qd9317Z+no!~4*4Jb3V+cGFX?m`0V` z%PkXXI&z|f_NLZX8RC+&#kYIX^))o^$Ha`H=Qun({OjCflQX~^F)=xeabOA>=JSqA znkgs2fR4*C%K-5$>WqI~M(C4xv1V$YQc6c#t8{w06-Tt8D4)9HHfA-EY;=YyFt>+uoYm)0{oj+&>%#EYpni(+%>CzlFNFxH*k9 zvZO%C9(T97LlMfVO)j;J!wFzq@c>uq0EVq1S=#C_g_%8>QjjyeHFMetq-C zkEJSRVtn#a%^O$URyQnbepo+gw1rt-Vak8{g@)gbZUei+ZAWw@8lSxP(>L{zzqPdB z>DZVLmD==RdzIj}FBKKdFFgEm!Y}#-vO`09A@s`Ar-pKNUCE5+zklO8cDUv(o?*}-k6_Z{^37s6v!I)C-=u`ym@7J8&_8p)>?rJM&4vS;{)0L3*5*pSat z2aYdm=s;A{#Ge*1sX4BfrkDNPC4h#|eeA=Lm!|r;_uU0$uP)FN{C7iypD0lM>?`lx zh=?NiGgsho7|rfFRGZui$joyYs6_ZAT~=jUn+CQxk0uIkzTE+~Dlu}tB5Csab;^D* z8x1KaDsuTuw1F~9o}7xSK!lc*@)NE$k0_Bxt-vH7C26~TU$*52CQeQf-&=u!+FZMd zWJ=XifB2T;NXr>AEH}Tps0NFMin2Q159M!3d~i*`skl`(23__h2>fi1;*%UuYJDrY zwrUWaLSNk?_q?%j^z%97JPoL!+}LS~a{B?>Qu$e?XxE;t+zJK;Eyx{RH{1%B5#d?n z5zLd&G`zEhiU{427=9SbJsezB0dW2^R`Xtsc|@!-#JT$b89`=$J|QC`LlVcnq>hM+ z)BRpV#2HP^ETlQ~3TU|3GH|pcsd0XMx5isJ`DgjrlV}ud*@M5`umfF(t{WnSlN#~I z0zl#bLPv*$T!0kl^l7jQ=vDKvu!JAI%Pg=(l+e5xqI#SD5PNwqm{5(|MXnQOuG~N& ziV1-sBToTD)&cbMLwzeGw9jyMyh4PJhsOitH_BP^2PB)2F8+}vAbn}^YY@pHQh_b? z4#-u&H#C2;vFnrYaP($cuyd%l>htU`LbmeejSN{ERiM4?a)*wPR#0ZaE^A(M7bdBU z5amg5exK-oLnPVi6C5Br&31>Z0MzX$Y9)j%^z&Ntr{tE$f&dESbnON2VJK&v>+E%3U#6)PT=D(-1W$jNpbST>{TLD zLN&AoM2K~VKCVpv_1Sn{|3+CUsr;AL1&#tX_(Y9je^zD0QXoRiSXNdjwM??q*oqSg<(Ouvt#Ri~ekxcFp#hXf(X0JlnBHOEG1zTc{W>k{5>lJChCuKxE5 zf9)ill{mx`)kWUP``>r6iT;P}7_v9N4q3}rnZUn|hS+Qqy(7nic6>QL&gGs_isep1 z(>o+Rw(hQ%X3wv$`hw&~xMFqCCLSNEd^c0?;-tIM?AbHDw7V7(Fp(WQ2{K6B|-TBW# zE6F|1yfISk0ghCiyO-Q*!Qg-IjB4bct!BGl%aKQM$m2hUc2SkwG9s`nBB+Ik75mQ_ zJRpMvK~OQN@2Z=Pf5nbJJ89u3F1DdJlK}) zFDFH=PSfY#tK&+f`@;j<(E2g(j<0ozeFV;QetIjHZ}REhpcCJtCa~>-j2kx^NGGH- zzWdl6bRri^{CUg3KwRTC*}oFvj#=gHLrY6P@FUTWQ9iX^`9#$I#9G*)#+;sc?pg@#ncqrN2(HC!4-2z*$VEe+gdr(zG*iI|b_Y zf1mwfWf33ppPka)?QllAJR*NRtss8wdRAR$AHrKqP^I5z?RwEI>$F==43^Vtx3Chi zZ)hi6U0jYBwQm_5Nrptfp_Pk>^`|}U*6!)yAoY0jOihZZ^e(Hkr`6cV?-`%d9jMo> zqh6Oaek5ygX(_GXFyZ~;vxXZAlZMt)pj`g>&UhZeR{bsujwm`}U&_mnw&YVsa0Azg zo`zQAfDTaXg!IS9PvDUMHm9`$g<|B!{nN0iNC*5s3?!0lVHi70!fY-6;ZWb=VP=hD3B zLa1*<>{DO=?-=D1Vnw0H>n-FEG?MB-?Je5@&qz58mviKT2ViT2K$H`)>kxbYkL_(e zPr5Pf&%ZyON_K@x8vfqbNelAknF4=brf{CzZ<|@;IPAC6wZESzhnC#$ZNL7$OWKVv z8e_WF_ys|B%2?6AFWP#C>^E7k{m+x0CD**~?*H6H3U~2l)hzbR9aAKeOztBIYm>!b z#1r}y!`7RnoS%BhH}?gIBO3i#llLQyB&V~TL2O6}w*Lux36rcH$o<}@VRyk2CGVSL zRu=2vnOs*QS;YP1F_jP7n8kDY%a4mI`cM2yiU`MR_P z#YW!{tE1$S8(2_I$W)e>f6p>6w0ohcWutyJuZ|$fZ!&BX3PKYkD#StIt#QisPD9o9 zB9G8ON@6I`_I7k=Xtw7PYxntQDSFGZz+|u%zzRFKce>KeOTxFVJlb$Y+fAR2%S_}o&5$i7|;L-eg7D^0(O((QML$+X_ z4{bFapDQx*vc0ttsQ(gnQvDbLjfdj9?9|2(n#9j`_H_7IP{WHWC(La+RPKbI!d2eNZv)77k#)^HFTpIl9 z`K=JERsYCr-t(F+UG(eICMNeXg;1BtKxv>ZwVLW!(rWb>1fAk#4`_Hc{(AUCQPVo{ zh>bD4XX=?~4Aq)7QVO@*($7l&=gmY##Tm3V3h-&}l!Z=ZKjXEeBwjS9Wy!z`KPd>>Cb3c50 zv>#nIi;};iQ)}3N+5Ns-|6`GRNQ<=iAG^O2^dGxd-|@GTIUFS$dAk2|H62iPjJlcl-v>>M0=3T&sVisVutx%eq`w1X=kb&%u9q|x3AQuORvmL~Ze!T}J`~xFl z_qdN(2wG7&%o=aE_V$yq>3Xe?MpPu^f2v6j4o1tk+Cg!K)(pm)Mj=Ju$eT}!@sz?d z!jt>Skpr^(4`P%1$W1)p)5^JmHMaqLB;}9L)Mi$xkpyk0~8pTH3KwiaC6Q) zDITexzU946cQ>*h(o&ci+LdIbkuQtxajzq$d~mf37cQXG>BZeJT>_QNY2?7u8X9Zq z*&c?6&y)+PL`jZ;kwpP(h=~RK7-=gk0AGsEepgS=!HF+>Ne#)I9HsY3TRhbNEA1I% z;DKH7QUTO1h(!WPu2Xe&VXF;=a}8DY2tq7#=yYY!HP=ci*}$T(XtjS>hZxtWtv!K!mDTO18XVZK%+oj`C%Ez^7&isTVc@qkN!bUqJrM{Q;adw8#{-`m@j=Lfrrz z4#scl5Unue#4M!u1|pif%tH5zv)^)3mY6B^J6#4p+*=hhGd~Q-K}y^Gy^rAJq+GiQ(L7ru_q%s||0-R2G(mZ$FLw~_}B z1g!Zn5k^^Bv9z=VX|tdjikT??rdQA!V6PRa#~Splw~BB|SQ)?~kA@6w;q`7I9_fGr6 z+#K)KgdVNaLO2kA%Ih^+)m+8=W)z#pz+`PPc$UpU}DaqO}y8Hh^*WMNaCtm5} zZq-Y&z_wt4HPAL^miGmFbK^$nTnaQ?H9yhC=Y9PxUXh`H=>Ze3%6BjeV9nneLx1Hu z@GJ>x7FJePDJWVW-DZc0iHmP}sQ`x+EbHw*|kXNJphn{Kw)oIITM$s`b z#n9-2^rhoA^q8v0oEa+(yZ4pgn&B3_xqhurGJoR2!h)iL0yU~ndFt`J9pK81^&(X0 z3*@n35ZKajU-$8;@Zu2(>3N7&+f(R^=U}8DFs30Bou0O;Ptk%733NRsAHOG`+L7wF zzNA!gt35TZhMSVoEk^mI+SX#P_7BW)@$s04>jg1RstPfYFa^GLYRY3IuNSQ6!NuS2 zAy;cu?;fogKN5P1gZ3+)()?A@$@Vb z2YN?y5&{`?KtX(I7n75gpOkUq#nN;!*X zJLv3}DG3`xIB5tnGh+w(GTp_PxI=o`5af2COAZ1kG;cBU%7KoVXD_MNdu`pm-1R^W z&HIy&rKTYC;|*+At>^m1%p}RITFQ3!c8GBMkoERN(sOS<&A$W#yMvnb8-K3xzb0=uOtHcCR zWU3`Nlx^>}=l*~eT}6&c!XFFZ8_#?H0v6zmWU1JFouD?l<>;nf^>l+OHjdCqCdOo=G}1KR}>`S|$4SCp0epL!XA zC{AaL11AR#y}LM6Lu!uAMj^q$k7?^x0ojB^cV!WN{#>WwNASlejVg}90J-~B?383; z+3})zn;x%ficW^1UYd4N?UnYT!Y?}TCHY&>=^*?UysY2HdJ=7=Kf$fL_~h}q&fEIn z)w1;2xm z`KiyCqDKCa-xCvqnDCgjp5Ff&sTWLYz_D5+{meYNzJLT;nOInnlR(FL01vNjUyM#rm*ReunOgxJAeHq|)>TBU0k!mfROw@oUw6 z5I_vjF%97;A%~|ryTO;r09d$aDg)&dL`Lc(XG30F;qC}UA5Q(Y;^S(HObHy})R(crE8K#;L^|#Gr^MnHOTkPhU6t79HM zlyv$1)7N+P+pDF^8Skl>zz&I;wzWXAsQOsU^v-1PgFR&(P}mnT*@5XKr_asI%+Rid zCIQ3tJic3GTx>A;+4bo^tZY|B0OkPs5@(#-TrWZk4I@X?0+gIZ$JFHfd0?gZxH$AB z0c~bGc+g z`eZRyh zVvR+W^K6$Yp&SVfd?$}yE+k|yIT^)?Lq+Ec{!ty zdBcWNwQr@v{=qvYKg7rrb#SK8@_ay~@|yVPw46*shl((rgn~9r_eBR}zi6gFn-(p4 z?pnzR$T(g<~K~-l?DI|s!#@}{r z4!VvGYAF2^y%3@5$FJ5ALnr;F*#qQiL~N-^jRMSNzg5d@xq0cR^d5B2_WjY4Kc0N# zP*NQ#2ifQB{Jg-Xz;{`CX*JxMjW{Gu*K<>tjhpL1{S}8cwn?YNisw>c5ZhMmle#ZL-NIxO{Y|EyUMEMN@ z&%Uf|BYqwd{L(9b>)iXtSqj#*PXlVWB}J2DU#%MQjjF+PE$Alx!Tjg!H>TZZT(4hFEw7R;K?eUlA5f+~hF0&~|zL-ymFb~Vi zpb-$Th~whz%jFiPj@$l{y>f2Jc3-c(R0+i|n{@lajIyQuUIrBh8eJbhjUJtGG&E>j zBMP=r=9U9-Z-5drG22e|6rpFrA$;%@HW-j4>OHhKTb&>bKFI7;b_A91C=rJj%IE7XMOWSiI>}} zeu?YvzoNx_{=8qZJ`LBd?Ps;Yx3J2BKH0p-?tKKv$f-L@ezo5OCj0tTqZG~oR^lEl*a!SVMI5-- zOK`2#JwXcWmLKu_t6JB zt5WTFm;6JG4@(TX8De;RCr7v3S5tyGKGu($*l{Gq3RUDqrfo2R_Fuc;dArgz`79Aj z_vtu|37>tKHiIO4mmg>Acty@lb_VLSp$o7{xUG0_`)R5h}b7ZYw!c$5;3L zdTUNkBdw zM5h=eth!RQ{4a3i7JC38{m>%5Z5ULNgN(UWQ-32lK0A9uJMHW%?ct5Y@R|Is(}P;`JoAvv{5kw1-=qAO2JcqU(T;9v z6VOiOAP%K9Da<#vr|*Cn-xXA?wr(}MLmysJ>{rq{uxYbtp>nZ84!Je^HDwU=039U8 ztrIkkzJ!)py)=BM23mY3-h-Dq76$!0=Go)nMZ$qfes`t41{xz=2b~O_uljx@`u!Apo7bT; zeKkv`$iIm?nNYlxQ%qy;iqh#)L?1}EP%7ohne7F`wl0(p924Hab3ob7p`V; zT}kn%l?4mYCvT^5{RhvX2Y>rWGK5bhTl0_3oGMs-iQz9BX4fJEMf$D3Vhz1Cx%Cz2 z{)!*(50Y_O?|<%qMG`jLf4fv2Iagq_`G4MKB-ewuQzuN39{AUd10UgR{^f_^rGNQu z*;#V6f`5m#PAf2$QP;NFKN0+&n^BTC%iY5w`0=l6DGrmYs3RGB|2rt1x{O3{XwCmz zXAOBB7fh!89UD$5;twwVJj0u5{MT;9kC2-<@%J5mk+T#Rf0i0Bk~i7#UolAXj^B?p zhl=B*6!_^BgDxiP-)6Eg5%%{F$Tl?Xx_RNz?6OpRu4h@Y6^}O)0>r6k2^2TAOA@-c?T8xK_r2!19b)%cUsluLa- zp8bhLpS}rP^AtVmH`y0*NUkru(;H$oHi2%A&v{OUoPq5u2Gv9xq5~(Pku-k2qQIO>IMw2ix zCuasUkOWXZSe&-{4Z=o6GGNZ}-7NTeD3VZz$W!I`@n=aE*}D!193I}NKDs6ENj|6v z6v-HSfw1W4(W62Jx!)}Jx7TmLe5{;9-#1Wra|;XPSHz8atz1O`D62)6E4H0|Ku}Qd zk?d6`1qEMB@m;#q2a&2O#3wq6#&_uX%k7f`1*CrRD@aA%+-BeZ185!75zr2%KF5DL z{ez*xxZQhl5b(i{At-6_^)M*k!gfUA-$4$5QUE7)-lIP4uuO%5n}3UXE9Q{EET1wo zOn=S+*)2w1Fu1x)C!N&XW?SRy_BRrLW&}l#138qmSp?ZYaTB~l5tRhVB7ivuJ96^)@vRuc{&e9HN?J@6 z4*6PBSnA8@<)XgKdUy0#{N+6c(GP-r3XM}}3k@kd{qQWP*nR3_;x*P252*U4V2_B{Yz^kdhP?aX+FLK8OVkkr_O@7Tc{dv|U#w4SKTHeOM6|Pku{2;pHsO^(O3C)OkC- zKzyY@$6)FT+#d-Gx7X1F=cVBJQHWBK?G?~Pm^=w|baizRt*v+*(0?QutG064)N=A2 zu*tg$I23L0N|d|7D22@GG6vH?~$3>*iJ+uru`n+10xiQaVR$|UkE z%BJXt>{fxZ+9*#0$3(DkAprm>(A7*Y54@dQN~+^+M|eCrQ{ceSRho`vY+>;VOjzs> z(I{`CuWz|)ll66DwpYo=9)t)QMTCbtgBw9dN6IZg;atlwADA+$tW=cI5V|{FdgGaT z^7Hi@Dr#!$<%tFoiTO-1%cf+fp3Azc=_l=ITQDErY;rEx&8U$P=r8_z*>ajF?9`4SR z4o7dJuVbF?3>6ZR-k@Ma#g zM@+bYm@s^mN3y9rAm4EqEdcTUgrn2Do}MM(u+tU2VACksZXWn_`nJr)&y@_OpRkGu z?+n;&91a&Y1>QDwG*9On|GMy9_Ai^;{2XfzNCl>U&VPR5I0!2ci;zELk}p7<1pML#HYiAQpH##Tm*YzrIz8leV(cvG z2dW%Sif50w`ft;HZsb8r^0ZQGsEet7vS{+Sgre74t>MF(AIB6PBEQ+`mFK?TQf>rS zTLc_Nc@f+0&bJIf^Bjfw`GnnJNW~#^#eajNL@s)oN*AXx&|ZXlSl-oDoWikHCj9}K z6tW-c!#m0BVw#OGLq|LDJ&)-+%$NXiV^XW6arzD}NjOksG0n_iN;9H)2iWHLEpy z_=;`KK-y%USaPfF=`o@FHu&JSzWQtaB=xAd437nL==37Y4b{h8JI&j&caD?s#OLcZ znd^qC59-5Q0`|Dtwz}U9DZjx8q(fRT4`4VPC;)jO`p0tct!_Gy@KTh=86r~DIc>tn z*t@7S9q%u(6WJD1?pIagp*G$2qP9gotN2q-I<{t|+)kh63mz?Ml*njePZ})iI^|E- zdh&_k0&RFuaB!52s}5yD!ohWY&rgYgZ56?(f>toNyR~;3?Ag8hDZprX-^j>F7^&z? zF&vSZY65CScv18Y+p;e0oqny#*w zH60K2CPL_DDIYxj@^Ll`MPI=9S?2XyKi)aLp|dD3^gf4|h4c93fS=@B?Q8koZ=|;E zVU(BtVP}5i$Pu5d6K7l^@;e9nM!RMMZRjLo-&=Q=&M4d3X4IRVEOq_5f5hl!r%P|9 zxhc-kV&{n@`gq(jv4KPW*j4U7KKP)i7st9-VSioB5)e7`WTJ;(_rgzrl@!}9$x#M| zhrh=TS6#b^J+yeHPg z{CO89nyO6Pii*dqS_QN9!W3>fe|s?-$rtKPe|y?@+N!PIWn-YAOz0bjdsU8elV=I< z5IGeU&UeqiAVG(i^}YzA4dO5uM|M;IYXpCPfA|3+;)kW|iyzZ;T->oay>8LtQ$oQR zL$OBq&;`F$M$bs1c^(!XcViq|PIUakhlxy`wKy|a_N6sW^y&XNIUsma(6%w5s%$?w zi+vf`g{hv$GgIGew!cRQ(b7B>UxD&=Q?{XpD}CJV@MXE_Z481#ix**MaJ((U`~h*K zxJ-XRvxuItF`<^eZ-j%cm_8oV#YMu^7Z**%hTcWqvFgenIUB#%E3B1BGL+N)nYVi5 z!=F3^W{n0Y+pI%=lY@g6Qnt28vQS8Pb*XUIu>s*pPXm>NOmxH2VOuLCr2M?R!kcK2 zhU7Zn_^2n3-x5)VfG&|VXeXMj=E#c{&)H8z`hexC_YB=eqrlWR$V)>-F@1X%^vlcU zNZA=BbJb?82DZhVUKSnC9w&-Y)bw%HZ$+RgfdeB21qC%53}LN{Wq5cF&OQ*EClYco zs}_E?SAc5a>vO7@$XZ~TvQB=d?)DY>$|&n)kWI+@f^RoBHPsV~P)h>ZeVnqP(8;!M zV|L0eB?{8=QOAZ$g{)xG3Y~Z0$Pk!gV9tsIr`F8D($W%5@#uX6H~sMNeY1s+c;Ylj zr9dx)2ms1QLVyo5)9HZo>F|*wM7tN_tq787^!9?aM=M|Ldy^_}90viXK40g8$v`nU z19@M>+ppKw?yIb;g9ZS8p+5GSq3GX)0Y%66kA&qekuhJV&H9=Dl>VdlMq`VHcqM&( z!W8Y9O;^PI`^fg+6X-o`RS!IP3ZqVJ?x2a%jlIVeB}G1zZ#1z6D}tVFTt3p(TC)l0 zLSR(^vK4o38ho!oX&8^>WR>Z7)5_z8sXTKae}j1D2=B!AmFrnt@DS7eDoRIm;qeU0 z^PyUJCOVXGE}(Qk>A8jt_LL|aw$p#T&wU&X%;gpkP?Y9tFMz=!%rB6_{)_^Z1bZ3& zjs;jq2^zM+&||=jAvSuKy@EoJ+#>9lja}i_ZQ{}O?p+r25|j*^H=lKong>H{+n#-J zIR~pbfYw<&L%6Pdg?0wPv?XI4IuZ1>K~|tyLUGi@*U`coY!tLI#IuWtXorHoW_{P2 zH|KEA#GKBb^rvHqH(5dZXm-7ftgK0R{0usXGXqgrR;*_cypgKrcn)4tXi0pBCUAKL z1!Sb)mEcJ2^rdb0e6Gqf5csfEd5>a%FjHT@z6p;8EL8Di;~{J`SjjvZ|Cr;w#o;U+ zhq#D2GFOw!Q`(?aARVAxtpLAtq@6IUT)%$3*1cSuRuT{`;n)R7Jpo+<+62H$$-qIFb2tzx%-govh%h53|K%M>C~R6jkE%7WJ@t21Pk335lqKZ_ z9@x!PwaKwS;Y(K&J|Pa6*uE|9NRX<5%|L zz}v;d%v=Ef0B`EqjoUP4Kh+57XD|-cdtrYbCOFHD^erXu}}S!G+o zMx=GebT%(zA*)vYtV{5dr$o=2DfKd(d)sOmP>uk11dY$=?SpF%_mY0nsoi#&uoiF{YE&BK&E}o| zsC2q{W`0HFc+67GDo#0pC|Oq^te#8no*a9ywrAn~)CP7ei4dw@n#n_kJ+j@4hp&CE zbLgqudtUzWsaXHW$gRM_w_3AbZiy`I7TkF>b<^G+Y$_4VZk!ur{o^MmvR)mv9wm z=d?JkIInWAD&ZoN=Z}%J@M?J8hxS&8#_H@%^uBSFJxZBIUf~zE^U73vs-hC1j&_Tv z#sl``*Km&n%G`8NJJ3c#=9)T|VKQ*u**Ty~D^A=WxOSaxV%n0Pe$x-R&*M$JRQ2rY zXFse-U%B8u27%|Iv-a`*StyuGDz3@Khot&H~o<3>8^r{N_t;ynNw^y>$iO0YPT1K4O?T} z1v;y6>(0D}V?HS@fDfP|>CL{aAk(1maHSy7+vK&5sS?u<@>s;flbco%D`g>I% z9o63Ny!Q~7CB9l*+$w#kUSj*oy{h&aD>gFMHvK|&L;v8F*u;TS|G_KyOcGc7JFmpzLhRSo(WW1_{{Gg3fUgP2*KghL2yPr4 z(MXk^zd_e@1US8yT)aO;_m7vN{dKLn3!As?`HL(Xxh+(#hk!+jJ%&_9Cu}g3z~RqCxJ4o7+N( z-a;ZhI||JA@(JXY`4>k0GkbePw7OK6-!YGlodr8t0VIo@Xu)t0=rTK7!HT&VS=mf} z2r>gMn_cxUm!m_ECUOF;!ZnZMHLn)@I8}A3<~xBW6)%W0-MF$6N&NaPTT(AF=?A-J z#b#$~QJx>tk8aPAa}D7)K0^cu&jS8~>It800H9r-Xbx>L@O2!7^0;jCVCdeE3n1#h zeavpn6f#TIrb#$<^l0owD$i}8hD^E*?>O}N>*Eqot%AFtEp(ezJ%22)U0d$n^$HqZ ze*WyV@1K}sCDrd8vl3F9dlQq0@DBkHN#u2ZMb1X!C_yhfhfh^%$$ZzI6R$d^MPRLR z2@h^z97?m`{+B;&>2vl7U-W$varoOO=H4}x4oz<>+t^yNc-UDamzgV@+PP&vYKKt9*npFmZ)eJ#h~}!MLVP6s4tEw``eM z_2y97D!YiA`cD)Ks?G>A2V~T_!s0EURLH9vktgzsyPtyA+$Uy|+zsMkUppMV)_1dx zj>ea<4-Jo%v-LU2NR}0njTwgdj8fkZZnw>7`GD50XBtm=%VzTqto0Q8ir@VQPkLV^ zMq=P_@EWovWjI@}{*6^sp-B4+pa;Mza`X4~+Xia}VsAbY{XH@qWx)PVzw!GoX#KT0 zQ#bs+Ipws8$XynYKeplbeg1^#1PT3}^`-a%-lr_*_nmgdav3}~4{xIX{dJP52$J_J z|GkLcc^7g~JUh=rfBrM>iQQ_OTGKy5RvzD9l+49HE}*b4?jl)z#{WY13Xt98_WvOD zp53T<;G{K_Qwl*$;f*3NB*WW+h*eHY&R&386 z2jrpM-Q9F^>UI|<4_W_l_X_Gy*PKBX4!sVv9`Kr0gjw(*RaL@m6R!pg6qL}^Xh-W} z2Rcul!6kjyCa7WYIk&7|9|VCFyf%V@vQY!VzZojD=ifg0O&(|D&m?Ia;)UoE*S7rlN3hy*6vb6O)mVfx6P^`{#qEH7JIV zmnVM7bTN7aiYB9PF`Ul1h8w^V8oLqn~Gdr_1dd;7=js&nv>m) z!?>Pb%7wpnXx>F8_c!<*cjp6lKaT#CN5X2eXTzk2lwT30s3W5)tBl_Y`) z_$$U#INYYE%)?92HnV$PrqyDDylt6<_bIfBZP+e&~rc71@k^?>ox`=djKgV+1 zaQ7uyp_Jn^M<01C&G*2P+(7Q$H0mKDMCUUJlG)-8B#-0RPoERB5 zSQd8dWpF8%77htk&i=EKyUm*HMzq-hmLGnmhIyR@O4~s4fhLv0b|1%M2(A#VX-# z4IQ1XRJwNc8R4n%9uM3DTmdt>6J8$j=1Mbqs#bNbCS|G{D4EmD*U72W&qowU7esBl z4M!P=Q<9ShA#$7pRsck3`=(88h@a>NRXT8>Wz51!RB7hh)Wp}XX>S$%ir+8gx2;NBJxW6VWr3cOXmx&x+}5 zGE!2m02+v8S6Mj-$|2FTLmak9Xys^De#97Sa%#b;nzZ%*m#Hk2(Z}#BjBh!%)>Pg# zXcu=Q*+U)y0TwVwXsUo}7k48nDhh1j7*wH5>(?KjIc5o7IPLxC*~+JNXBO?*CqmaH zCUyqU+DRu3ChLj??sI&#F1$1{&u#Z1F#q9$sirutfWLUtqxCC2PxpNr(EUQ0q|7@p zF)@U}xCNAtnMy-ZT620Zsb#P27-+(^}VniJ%DwNd##J^)Kju$=A&IKz5OZRL5 zz335(C>(f>+#_-blg?zEzb9m5jN|YGKLa;F!dDs|;1D<Z&1N3GM8{y44Z>u2=5(Bs70sSfH#^9?IGKvR_#3GVjesj6iAbfPe zfe-|_z~a#r-yt@Nv_^WM%IyxJZ%YSYpvN~AotOydpKvBKcAqs}yY}$DuQXHUwO#{$ zjICM9qRK@T6K)cRs`KYn1gfCA-HaE>_SnYa1llL2XpyvZXu41&E$yemho0Nqty zm2f{id^o2&IxNgWIJ~I1`0){SUi7uieE%*9xh-BTEf>m_(e7dc%7$E9lbY8EuzWK~ z+4-%X3BD#R4LB~xZE20xaZLkYc%b)TeN4EVzsG#KootF`W=X;Yx~X}2m(UXj!8Zg0 zykb`j4VSCpy;L0Hy>5^P$omp6Yi`mKq@rtlbR99`2*%xj-{4Nt+lIFLW)wLD0s6z% z#o&gY-`V=uD^+JOQONc%9pr;8px5345uEbE)0T4*xCi4PFlq-Wp90>*2)hRjmmt@M za<0#R3Xp-pHU=TW^4<=UP2AjmLSrDXB{)e17M_46(J_SRbpg75bf_S(XMttL-?NGu zG2z8o{u2%sfQ#n`-m>6TmnY#}BK*0|2yA;gwiDfc^1kr=>{B;wA;c!8Y%(&%Tt0K} zVitpwETwQD!3HJqQp2TwWSe``)If&6V;1@#gu;3XMrLe%+t2Z zlMT$j^TxuXq99=3x^*iWGY60`zn?s`9!BieJtYeS?2bbUI}~Uw`g=?v za=<}lH`rPr1rfytZJKV7WZ0kp>v?zXeByBj+XtC{H|*PMgi2{BDU(Cx;}}rI_ zzzG<**b4F!DJZ7W%)Z>d*!y)28A&vbpo}dbf+#Om1wXC)278Yn%Wo;+F(p(Ws=UAm zDm)Ug)*!9*NNz7*_RB#e#22%>A!wUm^W;3bz8B2bo}U;Hot^;!LbZ+yv%=oQ$d)1+ ziB33%4iHMf_p=(hp@Y=ScrgE(L4*-MEou3>WjW0(2`# zk`F)UKiSegC8K2f(aQDuB@nF}Dy|G;2@TtO^AsFTxHr&_3sg^f7ee*_q=1PYHpmzh zm6hwl_dL8PTF)9t&LJKvDHVuOEf4we#BqM%V#D6_Lm0%qcW)kkhJ(zrK=XSi1WSm4 z=++Q(4OYn*=aH06uDXH;Er|!cZpa?e=Ya>ms9b?h**UOMGkyNH_cD?%q%NY?ZFb1d z5J5sltFvl;OO30O; zt;vJQo#}%p4$8%e){>NM8ZVZz>e)y4IVux+1FX>U5I@EtwT5E?P^s|QVGZuUzDlvv zEF>i>glrglA`Hw#VrFr*md>Z@oSdxUXO%Sg|yZ_#(W*+1i;LtAgtpH=N8l=&)!c#okh(?_~WA?T2%F( z=CXFX_XJky$RJFN=|4g?gl^s3_lb%w7_YI$biY*gJol{U8B9-X0^{xz_5&s5#b%oMJf#^Fo&G|Bs#M?1fM z+kw{K^A4un?(^r^6wzrD)Lgo>Fh2EDCYJ7iOyeO9v$Gt6v9SFDBrMiA`g6g;~}tQbY6!0VsEZf-qwH2DOHhh-r4BNW5h+dsA46pu@FNHwi-4 zuT}A>X9_OsmbgUFQF`b_1XTycXV62RRV!Db2;axbS~gd1@XUHQGfKr{iKjmBBDS_p zViF}`R*%_g1QTcMv2X$LzVCS{1Y_vGO`PJxnF0wo7uzeu!RALy#Jd^Z`Tt?tprXl3 zia62$|IuI`VxHRHzeuJVKG=@A1;jimI0U0Dndmde2S;Be68KK`&B0)e48fq)5bZ_C zV9_)TH4H);=*#Vrj+lF^GTPYd@9S7*DuYH|9F<^>E#bf2U_nDiw@t$S%&Ai!!I-67 zJZlHwsJA*S{!==5fE&HM>xx}J2P%W2*Bq@$i*Y(tK@4`P4c8oq@AW6{g}6JCi%%6D z9*5stE4W^@Rsh`9MkIO9Af>(E(W8sdix-@;6jmbo7w^9jm0;F%^kW$E9KmbJMWzB#sPyC@GC-`WR){sY!YsWuYA^vJ-A!`L5C)fA-CiCKb zZ9t3l{OYesf46&37={4YCfP}>7SGKa;HF{&)*3AE2RxD|3|!ZmbFA}}p5V@%m!`c# zAt|k^S5c?EvcU+JR?r{k3~GQF|@@ANG^!3 zkzN|+(NLPpr`#Y;)jRu0e~MJU=IV=8GBP&VQ@jw@TE?ek2dOxT;&Wt_E=`5gF zPv%Nd@XEBCymTFK;<2YhHP}{Jx}RJqn0H0wFw|xQ*gVp~r?0m+BKnaH=h32x{;kUs zy)&z;HhD7pkF_Z2vDO)R-5r1@ay2hLb$?iVAv0$q7~WtY0CsxWXx)+I6ijS%$FVHS zdNjbE#Pk=BW>hpi!txWA8x_g>MpV#hKl^UPU-&kqa=1?DfgBUV1 z+Tk?&-4yi*Y$ymM1=2WCk9i!#KxYwvg74k?G(NtanR%`ahdfk{(>*y**CPFe*0LbK zA+0g=bAp#m!(}c0KS-)d#oGe+kO{(N7~&&?XJ^dJq9rfzVyXf#&DGc9+Bu;9G)FRx zbGCXIrz?QokdTlTfHaViy@$}P(P;s;g`kD#X4lkjo#P~teE!kCMX}>SMMxEbIi`j{ zv>J2iqaVsC7+`)uDUZHjlz*5bID!LuA=li@EL|__^%-GQEoYIF!u6c+w}%=7@~>Ol zWr-P?z&qND2wV#gGJZELcYLLm-|r8#QW@3HKXF~K{HCX2l>y}<2I8RV?SXp)UpH8A?@XdL|s<4$6Bm)LY$oU_Z~Bf zgoHwFOW3uSS&Knbj~f1^i>sR2&F3d}3JR*Dxb*PC$YDx06w=l<(WEy4ekKIe$d^SCbcl z{oY%bU_cl>H0&FgW_Y&*Z){`OvSsAMhroyk)XVKaC#cxKG(ysX(Uh=G0VEDpGK-0% zo%kOw*ohZJusevc!SwN9o|j)x(3b^(PB>=TVb;&Hci_5Ledy+hs z7N?F$WD830#2GklA8`AFIl2=Kh`jnLFk9feuK`|K-qysVTCf$Si4+fT+r^jzwr!i6 zd#G>q&ko1IP|_WP8%bo2dr8`W9Oh$vA~UWT2^jHyUl)vkCRZHa$1no7p)0xcv2`PeS8z`O=>nq?i}(M-h{Sc)Z`%ejnhu1D z2q0M7dgFwa7de>Hg~J;MHSIOzkv7rEeu*C4@>rLm{8n{cVgJ`7WR4#pNXu5U6d3ub zhifYuFPUw32}a9IN?yoFsLT^*DAtD5;SHbu~H|_X& zpupHLK!C?^&!92`CxVr91J=Et?mthIh%;$)s(+GVOhvLgUneskw49s79{bgiOW}CP zNf#IKC(2?WcHf&Gh4xeDWLI@{bxX?>dUmi=ndi}#0+)fF8IzU_?2svHp`zaYq{0L1 zBQub1WMBi&my;#O;dCQ(JF6fitZtvj{#X1t(;st{xG|QEB5l^fL`x};Gnm8lG&IyU zm9H-r3{qK3N2jCX=P0K;*(MBJ%^B4gtYj|W_=4C8+B@jKU^gQ(H~2u*x$yZ3qT>Ug z>ny=n6*%&6b652AlwxHekb-4{Qf|sf_Gt4IXLK~Jw9J;|V+^e1u;s&J+653CWQul6 zpgUkOo{XQzC>a{lBs{K=$uaHQ2Lc1%ayHi2pR;QnLl#t0;!YNDKlwNlN#?Y_u~kc8 zbVP*YkcTl;%xvkkS1r5uEhhH!1o%Mr;%u`+Qh^j1AbVnEw%6}D6ERTBg7SB2)DzwP%W3ch=@ox`Z@Kjm{iBa+ zItW?HKikYngrLBX<&R&XMPhd7_cl#(RMb?x1;3vdBwnJM?bz?>6-oQs(L&Oou9gp_ z>4)Wp+VlJIGueHMt}lbUYaK$-y}pWJh$P}AoqG-2MnJKE1(6+%t8$`_swv3JuDJ{#v%rrgl}{hTqdKPeN*7_{W`*JB)(IaMkahP>z=P=|Aq3 z+#CFJ)9)?k6n45u75`{kCC@WJ)g<~y{@R2JKu+|J`;i03&7%~5T*%`F;f6xM7?}9x z0FDLbWFRgDNaq@ybLJ~Ux$_WKmi^+5Q-ZM0wFX6HE zCR#>{o&7~ehm?qjBQQWv=E<{YAZn#U@v(20k}kw(v4YY~f+Wj!Xpj-{34wVt{wQc% zbP2FOG|GA47E&*}8XI?Gj63LDeghvU~>Tn%bFMvdtGFE9q>&A2j%QM3r{li ztBrWs#z~B{q-{g58-al?Ka8jF=>Tp6zNMnPoCW^>=)ys)>+bHxZ3+`PtC3@SL{$~; zHKEnj)!W>@KF1{^x($Jp1WvSuh6cKhCXi7-6rQQ#3@`hD?2Uq!Iq2?P*yvB7kia-o zBrvWJV*`_Jxx8K~EWUNcKc3WBUbSMWSzR>XdB)9~^H089jiAW(3Xs}%m%%vYZO%LR z_(niAufPm2FQIrgl-ePE z088DkT~E=aCK-S^vuQ~SZ`W?R-e3_aY83((ee)Qj%rkzO-{1g72aE&{6@$SGk(}dI z+a+G0Wynf6oSlQi1ML=Aucn{yFaVLa<9Gw6PjqHtcFV|PPMM=;0H~_c*B)MQ((12e@N`z5$j%Y2MHsD&;_-EU6wc87ueG4u9X^J~S zSVh`>kcaW)aGcxd!NpM_D|z3=Yo{_y3R4aUka$C5Vlo;+s*s7GO_bg1N!2Lo5}46} zaY;M=^u^oRFtnvWgHL}7fKbT2-Abse2pJLL0I<6@+3oKPVg+V@#I&SBV`3KsZ%S&m z>zJ?xPT*IQ-z9WPfr!2r6@|Hx6Di%sGdwQtW1d6T&N{Na zYcw4P=6k%iA1AaUmI3IQZNdtNaS`q6m%t0HFT!MBm1t~vbaPA_Bi*jjf5d#c^t@Ea z2dZD7oMh2Vcl>2QK>Gf72jD(L3$swhp=xMN`l^}w;upaLYomos(%ELzyXsz=t^_vb zPOy*g+h1s z#y2pZnHZLe_Dm)x9&;CYU&yE=lMM5BF5F#hZ2Ts|fr_qIeynuKJ?Bs|=f7G588OgZ zwP$R6JfpL}?+V4Xt8Ay0`Q4(Pb3 z(FitF-uC-+M#*`*IvvkD?`m>VTwv!Wo7a>PXXP8 zA?10KLW<7LE*Y6EUe|MuK4K?jp7b9RK`MmkUqL}LJ^8(WduLl~Mx2WhS-sffMQJa| zg3I&Il23h|#yqB(nbHd*I{WuO@7gvEh!P}#+Mz?BD2~G*Y++-^_)ZnIT$8PGGEdhH zg#}7cUov|XyT#tbVOU+CK?o4Alm&V z=c40Bt{jebx-oW|R|x!|HPlsJfPISPI?7zJ0>pLL+ps?zU1}fLX;0qvXtNE zdzMPLK5T9NAUy)L5l@!WSqm5oD4n+E^{u0(`z ziSG%i`hP$=%_YP%#+ap_<~c$)Zr{%B>@7bdyZ}o?EcgI|qmRXb8e=zcv_(S@x)0TS?mb zLOlVDHV?Jv%}GdG(6h+N#B97yy;P5DKVCq`**C>@$vk^5iQH2AoTo*7@LI zQAXd|Dj|&2f|<^KYQJ-Op=so^5X3kBrZZpP*4DbgB7hDPioG^LZU|RLqh{J5zPq;4 zSsoPvvn4{Tn@77v>eLhXxX(fthyI}EZOZwzrD&PkyY~{hSaFlIWo~Kc5~sL`YBV() zyf=BDi3br(Tfr+hC%t{OzStOf;&3p;j|jM`7;EF?j4UMn?z1FhH^HrSFzgoc_s*uDWVp`@2Q?e+!7GZHa8+iI+=(lb?z^Gkyy($o%N zVS9935-C$2+Snp~mWTo9M>kD9(u>CrX=z_j?s_qH9mS-J6Q_1I1W>?p`R1E1Hg=&H@y*1fq=@B3Fl5ly$jHd_ zxQsl8yoR9xQ$E+P@s19a+Pk+%i&{#m5Y#r<=)=*{;m-EZAV8AoX93a^cr_?VI7%be z0f2Vq?Zn(vt4Tmtcl+c>YaLqeQ&NV(XV*Iuqr4P9V>}(aBxS6Q?pzOgi|8@KfrLcw zn$YRFIBE*gr<1~8@pMtlU)Xj^V~%>9CLfO&g7&udc6iJpN1-)&z3B&F4z8BG^QZg0 zc)47y3PGUg>4ht@LyUGiS~ONMg8}nE!Z6#EgRsC~x2urt9$<;oX6(Bb$U{c^Frl2$ zF99Q1Fs{zCnK!r^yx_6NI;GGbiiwHU%9|A>pyb5S+~mB73-rbCswc0V1rEo87FMId zdG z@+z4lWQ;2XpC`KCzpxpCI=__uL-vc{m;*;LyfuM(-Y;Z*XAXhc91#Vh5d- zb;beA8=L|r9{`|f2-;EZ_=56-_R^@s05+)aF#9+xfd0;P*NrPl7K3Sz9}_LMz{l{o z@(K#D+3^#C?Ce)(yUwB6u$^P36xs-g+k7ps{a|6t8V}wLFV7H&QxMQnfGv;?YO@2% zd#(tbCY6PPK0_HZT6K>b)xjL}($EJkg54toMqn>B9!&!FZE_b@o!lso0WT#@sfutS ze2x(2HwZZhi>$kJoMHwQ{OQ7OI@5+HHxI+ols)C!XMRl5{`~n&Kh@OThzMBRDsgi^ zM8akzv>nh4v|wsnsoywjJ;LtMU1|W#j6(-W(RRQO$fu{Lry=WA+;Ojpcv|bGVaoYP zi#J#`(Tr-(Y(Eqx5M`IPPH#Z^kL%2A&}U`cBt%AXhbUqRus9^cKcGQ@!pqFmRNL5C zT@kh*b2vnEVrG%gqP}8mK+k?SXN19Vr25Uz7O{V0_MU%nyn&jg=FJ^9_xAnxoNsmZ%Z1dC%+WYE@T=Xyy+I6*oaY9W{U!uRT2{5qOD{X|9CD z2U^DSAR8c^z!TQd(IH6Xy?cM)#GHGm!W9oK4npp`l{{|Et~PIE-B+w2Wo08^Bcc)_ z7TAAa+acg!L7^Ah49j4ubeDw0dl3dPN@7zNjo_7_g+QqVhtLOFyogGe$^}p!lb~Xk zymvO_5EEVKV-*Kh5|1^^*~m0LKgTs--Mlb$`0k|wtPo=ubmKEn`)u9>{VVRb%8?_v zIXRa{9_J2E8NdFD`jSwfdmnjM(nH1YzM}(i;lZlrJ55gqZj~_KQb%|^2VfKyB8^Lt zpk0u_%ez*gP=vJhOl=-B4Y6OZ;Lz^KcX;@Aa;6z;j27{RQrSoq&J!L{D{nCxE#K~p z{dD1&evIbg5odW76_tP*QJFh$1JtsIoRcMkRWCpZ&d!W-gxch|mX;%8;nLzvDS}Z$ z!+C^62s$r#2+_wD%ybSmk&#x?nY<>EUXfuUk(>xdop^3Eqze!GB5a58eTV~_zsh6! zV83kb%`(X_@2LnLK1oSQKE9gf<{V@hF40Lksl>{J+yu|`(2l!MAQFttYd)h`vi)_m zBvxib7Scyg#F^zkmW8f%4)%MFO^q+6HA*2Qku`s2^L-&s5# z?Y_1FmDD>uJoE2gKPa$U;#ydAr+StaLwzxt04TrVr*%Q9eJJ?*?46;m1GakQ8{>Jo z|N6vISzCmMV5PzU(Wql`m zv@ZxWCKi^%ikMgGbpCvU@exZ)UWajvZHsB|9sv@p2z6C(M1+2a17?{+7xSt>@5CBw zm$AXr4}(KwBro!RuMs)cTANBQU##7bd-o=A0HaACL?BPFYL5P4MI>iP(c0^3-@Y{y zJU~T5)1+5L9P5=04Gr(#=RXsN^m#J_h9KjsX&SYD3;NBUTF{13)Wz)@k3B-7Ih~}y#kz9Ec-H2@d@|DT3PeGVUa4xH z;`tJKyutqCJ1v>qhptY?V1g@gtLMq&US(zp&(g)|glq^oNHvoa%F0GgYT}X=SJq4X zEak5sHP4|ne*}ZBNHSiA@rM!{mHn11gote9L)jgwuSp5V(^D7+?^G4#KVRc5Kf&!{ zLn1Ax`hRxwIhxv>s$;R_hvgoteEw;XDo;JzJ!gk&XloGhV8@Oc#;hST!(RQR=0Dyz){Nc z`AbU7m@B(MS){1@NXtHdEB;1FpQ7fuqCT^uI;36c=I4h9sx>@8uIq_WTYNiFh>Mf6yxG@5si^ysI5n$`-Pgbt1-AKGT@sj_1 z_0?Pi0A7kUs>CWPx6ye`TaR4Fz{^v0yC&E8VN2=8=-IpP}l+SqK zW!tznF0U;4-?x%PgZt4NKs9H*n)t-075?>!NxNvc`d0)h{6|z~-G@)S`#-;Ms+R1!nw<21J;X4oLx?&Pi8`tI z`oUg{eFs1t;Rzav9NPM4mZ4uF9eubh}TrVKBSIXGVsNh^|9MNEJGI6BHgPk+MJwodOf zbJEYEt=hr<_q16ge%_moS@9+RLB{n@bYDrVr}E$H89p99U(GQpyDALvRPl?myK%5a zRaJ_6+s60>ZsI2Toj)GGG+%dlbU9pf)}F6S$jrnM{1RtJ1SjecC<>6YGXtYnWOx3+ zj58SKBShPl-giO-cYC|CvNEC4BSKCe40w>Zh1B##aH5LA7rHOPA(PC_6<0oId8b;{ zUqYhq1KLws7T3v$lRSrlLxb%yw_)@a$vrrD{UfcdkG?@N zOvK~p$Mgo$E($a8Gk5=2pij-rm~U`#anaG%_V)3Kfdw6^Vw{66EqBn+G&QWvzJ`tt zR54%H6MO?{HjHzK_D{sosK`j)LF7Nkh4Bl-=$rfZw@lRP8aqR!+y^BiM9M(3Fw1?9 z@#$5!7VM6}fvtZDX~O0CwL9Vu1f(Tu@YINs!%Wleej}>HtKE^T!KzzC8(TTZNu+^E z52h6AQ8xgYGnU&u(DIf!V#FvrA%Awzb1?qUCj-BjO)1}+ZGcs_{&*)_}mpgIl)9b+5o%Z@-}@l)RZWC( z?5=?=;hWN~Om{ZuzC2HHi9}+d6(M3FF`o6;*#rP(UB4{04e>r9p`jys3TMyqFdW=* z7x$1DB##_PFB&#rVDwp7WY9XwEF^bOO${jMjs7~Y`9F-JctCdLEt0bt7n`ZEOi_)-_u zCXQ9?yMKi^!YhA2BRTq{NcS?IJu^#Rf;=jH(ZcAun#eW5*(p_6!Eklnpq0flmEwBAz2V>#ZU3$@UW^PCjAi4P*Or-Nbgz};KLYz zKH45ZdSNj!M-nn#*;XE;}cln8U4x@lcKqG--5TX`*D~hGj=$5GQzO4;o6^5Pj71>XY?X&N% z-Ha!{P>(f&HbuW=EOx~+XU|sMECH%Cn5OtxNBO`3#y}W=2M06FAMgtfTP~T1gTIV> zH?asDuK!*5l0=087os%_PL9`n(fGa{Z>z-%_Ut9VI0Xg2op4Zg$Yo@Qk16P2g2zm} zY(9^GgJ~uhGlh;lPZ{)Go&{%{Mj&RXI<=b921Mv-{Xd=1Z;~0Q}7~u|!L^SL})iP?XZ(sn! zrs!}^nv``WbzLv|B0j>iRMQ4YZxp_xh8!AIu z2w&lAaKTUkXd*fS|{1E^qW-I>2 zV@Shv3S4Ef=Vv-0i*@rkA=xGA)GM`e-Tp)66>j>L)*sb}`mQMxZJd9JH@ntvS27j>Ck z`%!8oiS%I4Jrsv0Y=~5qS&+zhrc4Dt-D6e5vMF=h8C(texTfzrl(?%`ueOw(jKNSM zz@-4Nj7r^QOg=n)7}bc3L#|U0`OwcF=K=1cef7A3fmH}7r^hCxCCSM+lPu7JB7LBe zNJ4jQH`9(^hx5#r*@sgS7F^w%Ivs8^i&j5z`qDa}{nA)P+GyzP*ZY}%&raq9y|H@p zFp=NHYEJx|oxo#`Lx*b6&A6@sozsuCctvY42JqtIPiMR| zE4tC=X2xx=f8y-djGwsM=v+0hAvke$>9Yq%q+S~DtaCQ|dY}2`8=75i#VwPz?Y;W? z%J@93yA$sp@l)s5aJk0UK&w6!CB1)*msSn52%m9+zh5i%A47J#p;z%Z45KuO4=XJA0Iocp5N zyvb6O;gJ>;F4O22Md(ro+&@mrCu-4JG9t}C-}^+d0?5ExlvibHZ5132H@v3GA+g%bs4qVCw? z^)d$*B#&X?@mPl-S4Bib`1q_K@&O0iymS}t4D1-5*FR&v7bhs3yAKZma`nA+3)#Z- z!~`Un$MKS(0tTRKKD9?@XgtF7Lls5g@Y?cn@0Thx#L#qF=5bCJ9G~v)`xr135-_y? z%M-)Y*jdby?uQ)NRn^pXumeRE&s~zzi-{eeT+NVt?jdxA{nMAgaN%nQyOos{(rfjW zM@M&pa`HtUbn70|3Q}HP9`1HGsteGofL4(Aw=9{e9aRfyL`3&f;SFwYYqQIg4^~~q z;_(E5hh+(MoN`JybjcBi+k0$HZ`f>({Je zKwDd7UiC1xb!Vb+X`u2B(j5JeM}}14Z!;t+O}X zD{ymC&+mV*c(KCyBfDFDung66Z- zR<@6BvHHBh_9g20*y$zL&x%+!`A)20=HMi~{sfP~PoM6gyY}SCrzf7T=oZ?_zol+_I#TU+{r%#@IJ}Vi}Fuv)u7P2I%+kx1|G)~A!W(o<6G?d*D`wxS^4`fKSY z5KEtgx-Js*6=2Rp#JcWEji)X>P8`GiyDf{VpX1w)M46M@gikwvbe#CUS!XC&o`rV>~BA1DYkE@c(g( znnW6=1t#UW_tzFjQm~$o65uQ{(ANiN(+W5m3R%VVn>SZ=YODpGuqIfQiIMRxBz2(6 zL52`)SVO~8bR2^28n4HPcVDjH$#Xd+fi96qHw8I3PGc7XEgLVIxOMyXT87#A`HuE> ztT+sT^&UqQkKG31{d@0oa+C&O9}n(eMCe>5V}FIt*;{nD(lx}DTG$y7!3bBHw`R>6 z&@;z$bT%v-XxN&?Armewm1RJ1KbWZTjhU51YHB9>9#JMLD_5+d-hfcQhZ;_kCrnK_ zLu;^pXKC@Fh6$7ouWU@b@(%_^#urYMBvMlB(VfJ6DkOoJtb7^``|WFK(P7COjPe)Q z@K>g7+(=`~)X-}S(;0m|JrG?zRaFPGiU4k-caE0^k5l z_#q{U7*_)ZKtivX8bjSMd+n{rc(a_gjt=}U=!wzsNHE?y?Zwm0!!G|T)`X~@PbZ!~ zQoeu0l5soS4Lg|Yqa;vlN;+J9t_Su0D6@HGDK>jZHR|M#VU zS<(Od@?u-}zrT=3NB~eK`VlRbkhgu3LK%62kCT(2KaNC8e~_Zb->H|Ek#8EYo;|N1 z`3Gfh3G*iJd&d&2q4 zNFLm=a4?~2mbiIGfxqyqw>*-OTL?+wXB%Jr+Dum$_WPKMM`6$)WZ9# zS45=gQiJ^|q^#5%_z6R+;d%KG*Ht2vcw10|XsUz(#OUZKE=U3`DPYrew6r$y=!@;; zZ}1z0O?jxwju^M^R6Y#$-j{cWza;YNf7J6grhwd zu#WBc$jCfOS%hL{9)0yqhVc#tjh?%nN>2x?_Td6?sttbp_`*$wFz>~I8?f=o^SrJY z^!;LJ><&gG^He_jiFdpR<_aV?%&{5~5>QM5_R!tA{xxMVXGoVLLK#|W`p3t6U}ON8 z2;It`As1mX+aG_@&hPEHgD*FWD#N41DZCmqaQ+&DG@L-_9KaV!h99?-yl_|(k^_gG zD8CWHQnXSwmKY{#97Z4Q>rcB`S&1f{m4}lH(ej{o{P^H23G{8}8`_k$6ZTkUv?!+f zq_sj289`w=M1`P_j1b`6vigB`Uu4!7T6zZuFHQ6xesI9p1n>bqYO7xs_A+AYqZ-0^ z0zDLlm&eax(lfa4vtN2?q1caMIELspGQ~UXx{4dJ&({f)fMYaEGQv;f2P485WLq3t z@V!%Y25wiv7r#!u_}n%LfByl3hl=#6W~{LxhJYp|T?D^2XGXMpJ-wD86w)<` z2n@MJO0FXkQox+A>AH6TM5*2F3X-&-)PKSFxgXw(D@N9Jy7r8%<-RuCJ}~yow<$rJ zy?Uj1y23=LGh`4A$F=Pt{CY2(llh+ty+&pQn~0>W)sM6a%1r()2kQ4+3m2J@7C8+`;jUZux8wrChQKXRukycbt zQaS~d6i_6kx%1^a=lst7^?5joHKt*aF_- z=7$IKbsWk)W9m9S3{gp+4EbY4g$YQ>f zW1@u&SM2?z8=MHK;6us9WZWh6>ftN{gcWsbPImV8ojcR7wOn`zV>Z=$4b6?H+s9zh>fJJjGL{5n=3PW;%@~&HKXW`sniBl<`M>~o zhg;WnT@{#8?!_63Q5JSCE>cJY-P{&&T!NJXe2efZ4x{~rXtRfjsSipvf;jO$N_6(cwpe8Sq>71We_ib zZy=Ns{&>d5->}0VyE2RPDWO_2H3Fj;FC+t}X+SrQ= zkc**2N2B%&di&cWl`r5o$z(Ed^8jxnbik9{4Sc7wXDh%^ZN)SVP+H_}aYXU#d4NOO z12+aI(5we3YCDh>Z@Ck5cLE1HkE62SCFs34w ze2jR0YHIbi$2lL$_TNNkhDr;M6y$o$7l{INK}$Pb$#6YcJr!vtu&wUR>B*FHUuFoh z?97M?T)jY70Qnq>fHj;wI6l=<)G=mz0m+QQ=Lc>AuSvrt@f$Xnc#VTWBErsop7}AM zngmk-#sDC-;o~DgA%+P68zi1!^h5(;R|NG~0B+m3Up62G&_yb$t1a>BKre8=rB>%( z1O+wYc(bUFzB)cX7KpeW6eNTb3QcNsv}5pW(1O4rc>>-zuua6X1kwT4Oh6ym?UEW1 zXl?z|8u#m)GjqPKet*Nn)D+n^^$O;~cGVDTkc9ev@xm0&vGD1~a7~DJsF+7?5dNa+ zJx5l1Vopv|YikIZaCP`O7&*l(D46rhDyU`<5wO+l&~pRxDTFo}6@(rNN=gw*T3TB0 zEzgp0oy}|Zh5Gf@nu#^-A8TtJ9UWQYSS|$aXZy8i>NyUH0P2RP7RHc90$-s9)!b^) zCYs5Lt3*TquSh%8~Z$-~Z9>{n4zWjfK2dJKkupSH7F-0AYAvt`*_9H2fT=9gPaq zyM?>E4)^?O0LkHMOY-BPk2EbB?Bm5hfF>jwh=)xH<(7eXg6(O`G?e)Z}V95&hG5Wyr)oib>s0k2e=q?+OgGFn&7!Gi}QmJaYMQIVUP zR8hr3){L(RdCkoBoIak@^Ej>$BB&dQE#V;b5bGKTUfAZK2H)B2OkPPz&reU-kmL-l zy^oE|8c+1Sf`gWXd0^u|f2NnZW68*c9^FnsLGy8EK!;1SeC45&H~6P_YWBlzgC!2Q zBG}3H47qRdn9n}9UH8ngL}uw>RPUMj*EiF`kXFlCgcI@=yp6cj&>Ua~uA7^mG!^nT z5_%2X3`cAfueH^l%1?)uY{c2vyiatyfdjVQx!bpIA9zu^Ic73AA^d6FRrk^j%m-1}tkBSmp!tW!0?0@f|LAuz4RFo9|hN@gdDC&)37SBKvVZqf-I=?N8% z7V0|^1Uey{{Ez9sw#98B64rKuM&Pr1_5I9iLVtMuBp%S^dd9kg2cNwqh)i)%qr~*l z=^|Id=zuy}%Xf~o3ea}L2CiNjm6`klq;=npTfF1n`2+2vpwv8Kw!%zYsHFr<%&_b+ zj_ZB&V_spDo;d7id`U@T32XVn0s@ae_2(Pg=Ikvrrh(BUVYL=IAJ@Xzf5DaR% ziCDjKWJoI5wJ15oRw; z;|$yXdnr%=$!~8|x+3ei zOOBrEXolU;42o@F5luE6=m@sy(vGMyhw$?(Ixz4aI{i*$K~bW*4u#*Rx5wT zNk>{!Gt~Gx6j4(|=XlcK^ev!p)5W$Z*wUn`kCu3?l|2=K<&V_SqyC>}#WCeM!bb0~ z)LHaJANPg=(oue{Tw)9Rs#AnzPk#O^_?#8`=UIg1<>1^EF1IoNYUEIgKC1o0f60)} zsAqcR3Yun!Cq+T@PSF3h^9Zf+vNyCSiRkyWRoN zfy$z>LX-=s^ERfX^b&M%0j<-Qhw}G%0g+Q%F?3F>TJ30`htvQ*yizb%q%Y6-9q1ui zH{gJZe$>18Gae@@4Zu_$prfHi3}5*1JTGqs2`MUn0cu{IocD-%oX?~7EtPJ(_i#ni z+0k(aQ87~9geWalsyg2BamWbPF#6hjyu4pv2pEt)bWn?J5#u)E9PG-8cR(5gcN=LE z_TwT1L*Wvq1_lOR>gJFBgMEsJRfy^{h6*3n9)Gw3nBktcck7MB9E*CsBk_*A{tOdc zfA}v{Rb573B)V!nnt*bS*>&_4nS3}X0D9!xd=W=e74Wm9q+z-yPe?VHyv>5Dv9Hey z*?*<)mzLMuSN%!0LIdG%kguV#03!m&>+slEnlfixTpWREqa6e&ZuIiA5zzN)Z;Qjq z04ej2lc`=!fO8j9o;|x|zWn9|Vk06lb86WSUvl9U#Wix|{ri6lz4dTHFxTYV1HAm; zDK}xdw>ck#NlJ2Qsj0{rp@f@x3918OwhG!4+Mn%ZE$YfMdFr{!4HhWVYqi7t{N#|~ zKyQH>OJ7+Tx#-_e_aHUfHvGg(fyc7@C7K?`7-`UeegA|_&KWx%W0mkI(6WIrl6kbd zU;^h0F?!y$qvTSd*6F)%Jb8Aby;3=ds8Bngh%U~dZqC9tpR$!mFudu_z5FmNjLyNJ z;gbj)lFRwMMGGc%V%Fh)PzCXvu zv7cHj^V8FR!cdPmQA@rm_^#*Lo;=;%-CD7YWIJS~LmbC%*Pj0<3h3pg-L-?rmnwjaV^|qgV5*sT8gGzuODAsYCUo8$O zmRzDwD_3v9sgGjdV zg;pYH$HQO=1km1G;pYvx$SU$wOuy>jYaAHdGj9^b73-|N$3;JY+ z9^>F)<+j)2bIA5}m6fyX`p*v~PHud!;mh~3WxdlRWSIwqPo6v>F z$xC_NvSP;_5ri4Tel|c8*iKOa0Ri<(XWzx8oN-DtYDpY^KDvkE1GZIZY3aj*5^bm) ziGF$1@qlZ=jK)|HCl;AXfm7j#2E~RLIqK$d6wV9@k;hnLy;cifyy!=`Lt2GvqB?Y_ z7hPtU0%0Yf;1BB#-}%n-Z%^znIJ`po(*dz0mK@G?*yKXngf<{y5sDlxE zLoOnC6^A&q*-(-Ya247*xboUh@~FB?PxD2Zm2XOG9fke}Lfz=XTn~_Tkh;Ms9~nzH zlua0g3RQ|Nqp;GWrn(KoY;Ksnik>LyJGi#vj!%Iq=LA#EYr*aNRR>D6Y*DG zj&MtL#2iAXN01oM)hTFfSxxin+!?_NWLgEC4o6AH2>D9+Js(e=d59MNVxRv`Cv_bi zNS`DveBz*)Z;`k{wWChkCLn2)U+7iq%EktiD|ksecohO!g4HS>3Cb9U*AyYA60_ZO zW!)GsAa|)=Vgl3|l;#w}tJxwj`hvovP+!qaFEt{bpnsu6#0HrA{Ts*}GN}^i|B&11 z>*y>1(mTL0w`i=Js+ndLeI$!d;y2tnsp;s3zkjFMyH^C55cVmQ&BkVoG8(n2cnRm|otiXg17${r6(*i&OMpqeq& zT?G6LYntBbYJ@s9&<}F$OhmbC{6wkPZ3^rGpJ8i2NdgcH=PF_Bh0EP`nPx|5Rhe$O zC){IE?c=;ztl&yn_)r#Qp<1NQO$^b3m3U+^$IN%)%|Ln^Mm&6@|ckg)I!QXkb6 z^h9Ui-;F?&otrxbqz4-ijs@~06vc9iipLe_**~o2Zv57tMKGYz6a76mhvi!!n-Ga@ zfX9Q+^X}T4t)}HtAgXxIwrb(ZP-0}+vOi1@d`IH}>>nSF9t~g2SV&77!_9zu6e`}R z=xFf#Y%(^9ZmzM3B;)R(qjP`90eh@btUm!>4{UIxMKBGD2@Ym`)ECxax~6j=#P%Vl zDcYe3R!{=fv4(rs($0LA&nK`~WVwV1IdS8mXGae6QZ>cW{S$Impl5^|I@l|(uKi^w zg7WKxxwgZMrD@=F5o3dWp*wLI_jkjA4#pKbckV2Oa1zU@*7c1wzo=ewvnph-!<$Fp zT7@P!92SZZk=S&@jR(*-8&Z1VZM54>cM+_*At|@xX%@`+IBZ6DB*G${d|)f>#|f)Q zhLHm$o7SLwBI;lLm4dIJUQsvVEk&je312z-hvEv=>#k~mlv;@Xm~>}lZa#~X2D7@Z z5TNqJH4BrY4_C14TyTFuo5SL%{qS|i5c4FU(IKU}5B(=i`V@q?zBDyW;dwT?UV$+| z?cVQqWPfaRX@*E0y%6Lb$a-2`iNSh@58ql1n`RKtcpyq8xT|0awL4TN;0Zyt1hN{e zh{OQC+q^LM9nAIuo(e_`>a$tmrTH2oWSZcp87}3`|L6^|;M`Exr|sSaZXqHn=rg-H z8gt%i_!6NWPx8mfJQxt*2C8!dNc$v{w`{VebNjcQMjQt_`{L3PQLE$c&`c@BenSPo znJhP^{j0$;fAMEQA9}7`uz;0kZys={Q%}Rz2cI7;>GR}LPlPt#D{#aVzboC_+Y7*l zHI(KQwEOJrK4i@deVrA3uf%C_&tR!QI zuZ=of!$LyPdmjbL`{a`ul%cqejMKmVWV`@+{yr`NAP##ROsns&F->o=hWmbPY*(}3 zl=s!Ecp|g?TGMQ@N~UNFMUW;22Q^kyEQ~Q_HPQB)3c4_s9c@40EpX%ztijtB{HQV)s&;K5rt&f zS<q>LQM?!fm0vpzsvru4sLXa$$>@~Ku)XR?IX>q%rqZsvyNu} z3xfk%0)i)3NHrQEv2aPj$2q?vYzrR!J2Y(&ULKK{G2tM2mDeCa6}yL81vo;Xe}^*K zMnhd~z+zgo7X{a!@oUcBbyyDv8RX_4+S-o8V+Xb(cS;MmWgWj~kT{Iv9p}CX2Q^t8 zMOq=!?CQ&s5Tzkw`l^FziNf0ij|RO{2F&q6&u6p5_UAf38}KenOiUIQhfi@CY+HyH z<8G9h$m9dtXPamT-uD)gz{3I9x7VV`{OTR}!H+dEo7k3>xIS*|=y@1I*a38@7 zfG!fQJC|$2&ybKF5nTNO3EQuyLE6MQ)}3#qHL-io=Br3%NU)xXdc~NA_9mB3E zs3DJ)UD~rFMD|1N(g{>_^uxR@m)u^W?9`M}`U$M)Fq%~b^bJc_Y&(eN^mxG(((Jty zA8?^~LRKxxou&@s<-qPmhNf}0Js~vA;ZjKDuP-~7?60vYLS>27!V)*?uo=ml0biJ& zjt*uVg^eZee47*Xt2HewApx<{e0HY`eviOv`}$PH-rHy1+IkzuL5eyOW7aqTj}IA7 zG$lXJc|X;G_+Svg1y#KfM;tOpey?3jl0D%8$+YO!peqFw0pNq@!XRDD{qTxb)Yh0W z*8h5Eg^aH!=Cb2_`EhavVH>5Oz{>CHDWndjUgJ!FpJ7ha+&m4c*U9=(H9G6L%V_%0 zPoEIlc!q?aZkaF6&0YNw?}L_tI=A`IlNC7qI3;oyf~BVRnqokU4nGJAqIHNHMepA6 z*D5+pS*BIHXjFXbr*Z{f5t`53TnDmYe(7gWk`|N#T$C^EJASo^v{qa`+olImY^vnu z@596G=t(lW&Hp}WNMsg5I03;r0@8u2or~8=W?Sa<6Cu@ls zm<|&)2A(rIq@FnUuxr7nL9U6K+~SuFW(3gR-m#-SEh?ke70pKhiD^7qB!W&D{!plo z9ON~kD$WIz*~mEwiv#yO|Mbxqtn|!d}IVWF`a%U8-&Yv=_n;)tHtW8#gP^ zLRUA7X%p*mdIKEsC|^+Efv;M56 zmhgpDy?+nS`LCF5!WIVf*2qEX6m z?MWnLX@77CVxJJ?5|n39<$@J7-dh^Qr4JI0lZCpE3qV6O7cV9>{r>$Mjc}ZICvdmn z(t-rJ)NK~$oi82*=*IGWd~=rLiDRoelg}yzWH!MWJmYu>G*$HbAc$D}dUrR>vsU^r zD1Pw;iic?k1(2zk|GsYvi~z{V^^UAF>6$RWt&b2I##m)&%8#|%<8Z~#GW7}q7r+B) z`dZNZ0`Bz4D)9y5!u?~S4p{vt^e+b<1`V#RGzp%J+8P=OEAm5*yu`meL0Vn*J9!x_ zR{7pUU4bwq>c@Dx7N4_`^@taTCLRN#RkXTy6unVKOfD(N%DSZc{KQ@uLZUcQSh^ai zc08QLfCT^}ppVvq#IUe-T$OxxFx_j1;lQB`m&j1r1cEy-dNQa}o6!4GVpdeej@@Hf z+1Z^y1-5sqNTKb`8i&QvK7R#EQ>Ci3qGO%I;TW@HQ*`o@X4?toQTultXlF*1oXJmJ z$~Nkzel9)CP5UkRrl^75a6VC}I#>l=WCbvXx64a+y)EwCEaD7ikp{B9)X9xj=r9k_ zQEV`=QB@$J?oXTCjvqVq@%V$L_u$ho4m_dGsL0*Nt5)&WhT%;BiyJQFT2>BqWInFf zV6QN?6|KX16A4`H>h8XO?_PM;!DE#p1M}d}A3*v({)K3^Y^trK7h54}~Y?l$}M6dT^Jot&e=XTbpw{gZr z@f+WPv>rzkka-LepZHR&Rb|xy$pV?s$j>^|v9Xep_8vSJ%+M5r@|%TPsui z^`?iwqX?$t5c}mKhh1bt+*veJAAvXtdueo7bPiEdKUYn$wzkfr(*yteIGDB|MNv@ z;S#c)8jT!Y4vt}fgXmEMH8rv6m-%n=17r$panQ{C3=0bl?JZxoXApN`p2Ykj3JO6P zmjApQ7|L@0SNV&pD-vZ;u!vbsaGh#tX@SWdAiNuHZs@HOJG^q&q5pbG|F?|y<;fqL zngpRM8jgH23LoJ7%wvsha6q@XleyTGtN35P{nfAYOU-|CR-cLQi1@Fc|MmaOX#Jl* zh9vrbzWM7GECBxN+tZL#|JS#N|Mz#LS|>UG=jYr0??l@F{O(`>-@NVjP$&zb{&U&m z17HRYoQM`eD|*01D$G4t}KKYR9O=6b;H*s9$|De8#{34_Rp=Q&~Y zexvrj{IvmRUIcH@0Q>;Dk5GnkpP(UrBsqO zopVAb>W7B9I;=gCkT3uMO7!}J8W0UPkhJ4LCYzby+l+uYJu~C~;DO+ZUjMt{$#+24 zQS_j~y#|%|?1k*BqXbi!#@7t(-RPGPI)B{mSsaf-xVW$|=7fV!n9DHQ=&CqfDjzZ( z3z<^>vx(F0p z;t%iX*KQkr4YvVuGdhuy%fH_tr|<%Q)V<2&SpyO;#9v^h4$jWUSBeX+Hd~-?@h`v5 zAAK<{C<8jMKM`Xu`0qDfbg8=E(0~6rR15I-2B8y?K+~(GR&?jX`MUe#lf7&nlOO01 zC-7Fs-#M6~sR6bDdYq^@E9Cyd9Gf2~Rshw)vlHJhfB*Bfb?sZ!wB1{l-svMZi3c#i ztuk{%>c%YVH6bbDNyV@^@SRhRo0j|d!QVEJP>YGxMF??Vv<3jh$IF99|IGyujPRe( z-eCvk45E+gjT=XG^T?U|0jF^VeL_xvcv_>iqvTP|AkNA%b#9n?3KA``bSLsZXr_j;YDjE9OLgZX_mX5pL?6>|_fk|t?SMsS zROgi2>Nn~?y)fIVEgdc!dRi=e6O0j5LqzC)LJ|HM(u*)4nJ^N-FtvKty4 z8AR*A#`@0=frUz*p7{XRV*VpRf9`J;T+mer5PJ~rC7Wl%-gm=W;^+BdgYZWuX7How z{H~%SaZ!&>SeI;!d9`3ohp6H(SwVShV3_z4wQ8$<6GwFEfD!;qg$vIERnh(^z%lad zH&GBErIFY88@yg%WUVbNB`8S~Q}4=v#JG&~AAuLhqmahI&-3io?#w2`2XMqHttfT| z%%wGIV92hg=PDX(rZ-fEJ~Po*$UDoRn0In?>_LM8777a5J6U-6_*Ox)@FlNUaiiFo zz?5L*&hj_H8(3?N`}f)`R~8zKP*590oOsz9aD4qDO)PRIDIB{3oQps2WfpH(Znxy| zA=~H{hB%(OM+#J1%&6&^Jq*I;0t;>U~$6PN!?+WAAJ-Y3=1tCwe}DDQ3jN)%;^cB zhD_UjQ79(v)uu|dJY2woRZLyH2f9#$$<+94xzyTj8UyZfLx=npOUOh!gV zN=glYI55Ow5uF8P9lwq@DM3MMm>(d!9bO;!d&VlF$GiOgpB`~I845HJ>1vg*M~~j< z5^mw64#+!E35o?Wh*$;gv+8u3xCg^f${MkgbEaI)?Ilisj0HA*{EhBfiiBOJ(?;9wyte|+RRCJ5kiLbt0%?q znYK~D0h+YfahP#b*^TENWQXvJ=*$k)KCT%QjIhRnMm`KOFjSMj5MIz#eV((T`eo&a zZ^4*xo_-oq1Sm?x0@ZZnB0!xD?BBR?LI>KbdYfa_Fd4n?d2;MnReDN=+>)>rp)a=KPYxZlR z2T+PC3`D~dCr|cZb*$SVyMuX#HKL*O5*aIF6_Rj84-Fj*WEkTNj_rF5J|ze+V3VR= zV^9q|kEX+(U#h`co&*sG$QmOxbi{_Q2i$aQ!c$(pbaZg&7t6?Cpnb?78rc6D+;}Nr!liO^-$4tK?+6JFdK^9TSou(BzHWZ? zoy^ykXsJVOP!r7Arpt?c8%b8|O2A)>``UflKQ&?L517%(*;$k8cK>Ve5;*BpH8m^uErE8>l2)CH)}iF_ zCn?`yoGvFTtLpVTjKq8bjC}hOfK#}obc0LbKVe@OZ3NO!JX)Zn8B7|6xyw{DRA0DJ zb&-nfL6gm$b&LiE1|f89FBqNd3yBX+5(cGqwh$GR@oZndRoK)F9-=do58*ey$MD!{ zS~M)3-ChJ7It3D*o@thL-j&C)1hczeOwqJoYGELVJ8ExnWW&36gzTic*~sk&8#9V! z*O?J&sY$@TFQXCYl1ow)2e0H|glSRRfkc3h*ktc2rR)bT8gQ`Si~{rXjH|HSqx<({#$MpdMPV@=)#b}HmnCCTYp zAre8%@~lR__--E<#0L;M+`bWB;d}R1dqeEV{l0sa(@~#rvZ%8FuBhZHPT9#=bx_hh zJeD&{t|^5vV167EXhmiVaUPi|qzZZ<^Cb=Z{Ar-3#-d;L*J_%)f&wNyt6vp{H7Ksh z9g%eO&+p0U>6(THExu78CwSfVj(O4yKtnCpZvbO+BsgkgB(z-JWMv8FlkI5k@w z&mIarJ-u(0MA@xj$o%;#!-+T)>Dhc=wiWNrKCVIeU__kQC)j0;;><;gTq-ZgHuFc0 zZDDrv2xxmoZ7?HkSm{4P;eBUz7`l$-;Pawp6_qpC8^};XlGZRq42L!W=cT4LmE|Fk z2FdgNvYf|9Gw`qQBkm3D+x(@>nqKM%;jWe0=-winduBXP*Je!*ms zjcpJzNV9T^5wAa&HPhnT^^!9mzl_w^aMo-$?$ z!+A=id`o3u?1%j6BUp)tXajOA} zc0{J+Q0_^a)M1(V*{x+>q|XOfgPGSe6TQ@{*2^I8-1TUJCQ;L)?sB&u_$7-+y)POC zgyKn>+>qk>ebfKohj1WPcs103fSp8FPh@br>OPa&W7Ym*OqVyTrt{$^tXUk!S-xPD zK*=8;%Cf~-Mm*$&ilN~liR#~YK*_b>g_*F_q@m>sCT&qyu*mIjv=!3OP=dJCd;T^;ZlT>ax7a3DaaTft*PtpL~I zjdKYd9UVO&)h(oVdJoX}-czzuO$qk+f!XWT#zo1=AJNbvV^~k>Ds|qmBt8huMh&Wg z&37JS4D4^oH8M6nA`w0h-qY3grbz6lZ|$dNS-wEsV3Iq!Qp)Yt@0Vk6<v16EhYsY$6wNoq?r`ca_(PxT zsi8EDP71yz>8%uZ)#CP&9KC=2dl#<1(!aOhjtI^@4^VhizJFf=@pW~-J=pEZ$>g00 zNT4;Bnjn4H4>1_Zuq;Z2mizJ$lJ29Wg@ixe#e3Ft8J0XKgwzy4lw3fSZmo%Vx>JuO z%XrpM+bsBEyOEOt0C2|={$D1!0Msg!%v`$wGWS3Am#RCH;J1K|NQa}IUN*>ISt+NC5~?TI2LC<;Q1Y4v7-WcN7@+gE1NH= zCrfc;B9y#LyUcMiXLn7;c`d^yYXZ@a9z7%0_XUpSpBF|g4V^_6G5l}VlM-V&B0zF- zJ~RWYNW&t#KNZx>mgl^|`S!9_-)l(uJd_8^-z7o{WqRO_sQbJv^Ap*GWz(zNJUmFsq@d0P z7d%z}!uYRW#Mpak*eHZnNAc2bW*)K(6(ky9E+2O74&(P;zs2 zfCj?MFs9n)~ zcuDLO0Z12Z9_VWITj>POft!aTR7FE$7E2DfZ05K%hy|m%!(|;8o((l(zPb=tk8}sFO zs{FJflLPv;Z(jRp9~T!(jKzg8fcR{WHaM2rm+`?37RL@m?OpPn2V42inm=SH_h*(w_s#s#2q|C zNS#e;_|XwJ5$$aZmmW30)b9rX>-l+_Mw!fDPEC?1KO1vglmhM@N1^fy$yFlvo0rT*ht^~K4cWXqb_>_GfC`d2+yf ziro9!M;m6W^7q*td)Q6U1Gw6L;*Rdh>HoEHv#SJxBNG6_w%rzmc(qxpxd za}{K(RxLZZDm%tv-WP&%l+bvGm$yBs+Nzj8@a@~%SdF)8eRZG9Sq$mRjd~p#P9b_{{u- z(>Jlen2oPchl0lADK4RuiZ#W3O6=WvTA8p7ABw#PEzU57=>2)6?s&53Ty-HcG6-nEa}mj~_4Xj-l1|%Hz5qhs^}4 zFqD|!lzu7q@-lE?I-XYPH5j6W4?l;DFijo=5pcpT7))5*=!XYMPA+8#(Y_&&D^4lO>R=s09d54dlKE?qp+(iZl@Z$as&|xMMOkM1EZs_;QJHiJPUv;6mk&xwp1peqCM1LgPvR8#19`*KQ2#d`lJa_)6s0Bf{uH9(j~ z`+%e6GF;{$SVIL*@R7{S2-p|OmW>RVettD53p()6@Cc%6L~pj!=|y$kRrhPvjXv`1 z3>X&x$O#-zMEAN0)|Lq4ep+HM1T+F}$h9#+4nvecqSzK)%qrWD_guwGfDu?*S7(0t z2yE=hr4PRJ>v5o6LU1G3>9*r$6ai>y0_Wk}L(gFJKC^O%Z>y4Jym?qg9Xr?ej0;Km zkz}+AqQb*JD&~$fC+#kNgXD&)m+h*Wq5;D7)?JJkZ1Wb!xI4JN*31%K!1boR=?s&{ zG_WFh+T1`RZ~*TaJlEXrFW^!dmU|j}^+-~PdWGvC@HbG*&hDKk^2Gz z(&A$!zt3Xsy{+wUJc=!WRFf;`&z!kE#pUUi)x$4zKe1cfY3RUuetgbRS~aef04QUaq1#n#hH43&y$GFPP_xHj z{aBq$FsM0+8#W6~8Y3vJco<(mf9&t?-0-3(T%+7LmEZLGb)Z8Z@kWHk7>6@&l^r-e zmnF6t99y8vo~*Mh&N@7_uW?q9NGzpQnVH2S&XDMM*yv+ZD*VaRD`xD}{00;<;HL0AzKAu6xr!IQ4b~;~@m~u!{xk0hEb``nNX&B)$%e|x{MH>=IFGQ3u{ z%|S9m)rj>oRw^+H-Ny-(9CU^^&X}8Z1CB_yMS%|9ZiV+P#f}JSpFS_;H-tzZT6dJ* z0N!DRa2X^+qRxz^__(_!WeIW?1fCCln{Ck_12ZeET5vhy;6|o1QTF$;J+ojmgD?j} zKQwRI-^PgE9A~9=y?JwN=6oE8-hUM{OaWoTf?2{w!+3ap45vm_3bWK9c*Uvy|XBcM?7#Pta0fM4CF@W6r{5AKWI0;u-%cZrPHIkCwfX zK}{c1I(@?{?p zPdK~CvkS#D8Z){7-e9$WSe!fjfof^c&=aIzrxeE`z2J33i}&BoWfc6vw}HOurccH-AxQXpkPspO{;tK z2})upNA^%tH=-=IWV6mt=hj%wyahLlxhmXZrc}xGoHa;ZY;l@1@vs^OiCEf6$n% z?g42u;Bo;~BU+v)DbJFSly`tB3+Eyb2(Td4_n8J50cvl*){}qq!W*QHA3e8XNKO{h z)>)H)zIYkhO%qS7#hQH%;Fp~Ho@0MJ6?b|d;-{Fz>eo9DPJp(+i*t@m0&EZRH36Dz zr~cvy^gZ~BJo|2;t>+yz9gYvY0>gngKBsAJD|Wk=(Oa3{BWJkC?y*Wgev<9Uhx3k2 zqC_m(DK+3twy7ZVEv|>60IQGp`o)fmLrax_Onr~%ORAegwLr-&R*pFbe!^<$@UpV9 z^0um|fBk&%soUnF(VjvfYSdLmNk=xvWO+DaIFq?~!W8tV$01yYe~2o>QphJW+(vlA z{e*8csPxbs7GruBJQk4o!X`)0m6(N=ZS@4eNK2pYl0Eq%RQqPI_DQrm9Qm^xp4^>= zV1(N(i@1%V0y{@2rN*@wUnp~GFIW$X?vmus=H}{#J>bof@WtU3NZuh`0*whhD+^yz z4zyCAKYzw)N(gjz+rqIGIQ#9heHl!$RhDF7PYVn7;x$W1m7krt z3+`VzATQ=FWaia%iaPyj2ge@H4JscDZ~!X=M%~O0{Qb@7o?6}Y&opRkqV+l8 z6B8005%J09D-}KcB8F|J981i$BU!sAX8hbpGRq??7R8gO+buV#G4BQrO>NKI4yb}odcH~SSnJyDv9UbrMutf0e=?{1uHV5Q$uy0;Z2#MG`*q}) z;N5lDf}9Kt0llc|y&*p!k3{d1Jr2ESmEMcbm5&;h%;NxTx#3oWbJh1E^W)@)5qFPt zTzo0dj?Sj#vx5D?SE#7Lp1W}F9Ll5-Byu>oR&h81^vHu=WG-z8c`_mVWopZVIvF(T z=~Hynm<>FM7iNuv1RW>Pqhmd=tonHtt1w};tt(8LaEl-&0_5j^L7US}W&Dpe1{Uc3 zgm)P0@5i0uJ!l~e(uS2SPswRYGSnRpgbX)pwt2#E@y&6}Y=E1ER(C2gk-X?1S3_ zhgU?Bc0fbFQY#n)ARE&+6t{GU!2_fhBUL(>aNj<6%#Zp;h?K#31nijBzKi`@o0w^S z?LPOsN;f7fOw_!35A%b-z^DAi8>3!BOaiq4x_79Ng>F48fNW$5F zc8*y3)zv1K52EkdjK~V z)%PT>k!E}>?qPGFCTO$78LkvewxM1x7Pc}?f%jufqWklR&J^ez%1!OWPYn&1=@usm zCT196>ILu6&4#NGZdkgzQFISMRQGljv9-o7Iy3V+{82$=)M(pYs85Jrncb#7ab&a5 zX_=X^j*;*Zou{u0KtjKdf|iB`^2@3Bv`X+07Gh@~!WJORHVBRwwi8$y>&6Fh=<|85 z!NTpM=d)Ap`AWALIphBQ&1cstv!<1xo0({5{qQkjrLvY7PBm+65 z4ABxUfn>uQ-?s2lUKfKL3DXU~iou$=AFOi^d_;siL1d`dJpl(L=5VlG@`EP#!Ix9H zuV3H5P(;uOzG0?q^hTFMCypS~h)jboaUVX3Vog@mIGF6PnX4 z38Cja9{&oTGT}1^;=Eu9gDHB%15rA+aQ_dv9Qw&I{9%kB8<$zsu6@B z464J_>myZmXw8ma7(#&!`VA6+^CaLqC!NRlSJ|N@sOtH&2XHy4Gky;q5SnJCnW-rg zj?z@oGEg4~1ERTiVo;(UJ^C`k@Z4bVJ23C&E}nN75tZL-aRYoQAiWk|l(8-;aYyL; zUcRDSKi+{2uOIK+(j-xPQqtCozLl3#`H3}*)>3%Pb9bao==51yyE}*NH~*)^)vVn{ zZO~5Skk@X=s#`o?{{|TK@*_HCaihRV7B^|eDZvHjMyz3k`cIlKaINed9PMpw#CiZ1 z4ZD~mj8cEFsw*0Occ3cx;^4UO@DKfQ>u{I>;j2IzJ3LVRS>=?NX2;J$_7pmUd-9a$;rV1EFX#OVaZ)4c}DmNDfXN_1y3qPz2boKPoN+=s&M7w1NhLZ`;Oxyc!fvO_W ztZr*Vyw2{T>$Oc(iuD|-jli12?tzoA@U<>SnDe1Mwt~|fqlF|_X4F7q!-yx8wajkl zHA7@F0XyG%5jDPH^a^)x-;Uslc27of@+Dea!q~)wlI7ULj6w2;9{RP2%THzGSo7njfO?j~wGY5|_qrL8AMWr%-OdNyM0uN!NmQC@ zY7PWTOY}O(SRy^e;T)cyrw|X#(`-X>WE%0uxTglVlH(-FdY7cO|vWG6d~;IOKhTuiKzF4i$l^ha*Mr>b2HD~XFu|tPv%m3MtZt=)e~YND_7vt>6inw0jNGW zgmiGz*i}i$4mvlDB3sx&yx-$bX1uz2RLTBtR=du&7EewUsPyJt4YF0)dOXm!pYl3g z96XO+N;SZ#yP`V+d;;^01cQzx_rXX7SK}gc(Q$^%M&=^hq-z6YOz5gAatyG#<0MTQ z-X2dBW)XK1&Z77_zS ziIx}a2GN`!PptIe&$9bGKMI3jMkXeu*%%iY6XAMT!TDZ6C>Z^tm;5Jf1GR4}Q{)43 zG3)Jrl6QOUZ)y^qx(D~}{qXcfnqe6{axhWs_N*`y@~ZK8ZWa2zH2RE@41@vmeX4=$DWKVf4HlQQ0XI?)rZU% zWKLKi5mcqLW5>-tQq5UEamzfXi)z#577Ubl-*l+0yp7b0m+qWcH2<~7o zZ4ciy{H}6@hMwL{{C`CHTr1sl3|p&$DX9zz-?tZ2snB0|HtEYLBH{$BdC0avfx5MO z9(-Rjr4zJe35nkVg2KaZ;FTft4A5Go@De%9r?M#BOk*C#TB4a-eEjdNTXT|hEY)>& zt6#l@2TV#s9oUN4*db0_q!~we)O1_yzof5T|DqGfMm zGrH|)Dr5J9!I5aR9X&12@4g&_eZ|RaEOZ>{Y-|Z=CXxnz{Ln#g)!Gh7Yz_{7_V(z3 zCocAY8Vc+UnBt#BjfUvG`}U!672W?Db{`{JcfJK6l7jW{5Uc=V?vqFREi3C~I0FFg z!XcT%NPFM_m+~FX0OT-C%w3qIws`bgX5ww)Lvpt`AOvPc&b^ z;$m0+hzgxVg1V(qti7|-6(|<=%VO*2Xb%81Bw>&sO6B-V?4YtxB%#NVnVPB^n`Y;A z?O=;&FM26BNzlCeeg7^r32e&$e9VgObJAC8MTbnN8bu)Ebi5WWP14$yNa6_`p-@;~ z@28WlJt6moU$0F#O+q`?2?Zxh(cUD|JLDfpBpw@g2l7Zo%q#4Sv&{j8{AMOG{AN!g zB8Z9+q)Tn>E2BjtKM)u=;t*fe%fqxZHB*&<6y;Bmf1vg8zqtDocdFayeHh+`WXzaZ z<{@MXnIg4~ZL-Z{CAJVEQz$c;=Q%@$$e5wXEJFw(bCS$+=9KYSyZib6-tY7L1Ml&^ zj*gDoeY>~MzV>ykYprvg>pbz*Q$X*P@;QW?Z^@4(KsEr0JUQGS+FS^}27z!4dU~Uy zjDKjYZZ~cx3KN1VUaRcmHl`P5%rYRY80j3;oJR1q>jjF2;NS(%!=FNhW$(X@jU`Wu zgV-y_R$e4z3b6Zt1D;ccDfw_4ET{l-<;sD4VAa6iFOoC42QV_&3_#=_qF8t-ofw(y zv%`NCq%&rcuUXHH)tiaqlcuuez+P*er!ms^#vv`Q0QP1w0+oha0rt8Z;;W0gGSiYskTAu zH6NHYhAta04ZO`r^1x`!s45?x+jWX~wC=IcH7Lsf=YeQw+C0h4G%mF-*#y-o$k4Gr zHvfXpINjH05BDL|Ubw>7%AITKi(2BhWMRicQbsrUF2R0SN#Zx z+u~=w+XlE9{QlrhZTfFvRJq_DfHViIN)5EEOWgG1Qb6ozgsKE6=exi|mPG!w(!4*n z0j&~Xi18oq5ZE7k){s~ehAf9H2aDJv=`=$vHz>{S&q>@w@_xj|NnJ({IKG~6ec^;G z=R;=e~#{p%Y;oZ{(a}+wddf<=9%7*WZ(yH($%6lJ!F5Lw1MY|qH zeloBDG$scQ8f3*#2LOw@SaI5zCmwbu2r_zldKUFdj2HklQpeO3g@nd$k}Bg$?S-6! z7oT_!g;oIAhSvT5&Q2K6@c-Z&U#g!U?(e@-Qd2Djg&8!@fw1&x+CMBj9H4C&`G$ly z@_5whrpFw}V?e=P4z#0^h9}>opFOV}Fj0n08D1h&k$rA>&FF zf$-L@4F9Wy6?XL|bti!W=dGxSgS8k}mkKo!MY_0#EPsO%f}L8~1-OUs6Ij9(kX-(h>R>D1f6NxMGV_Z*^niZ?KIa_m>3Mm#Deb zD>J~x#&V7So`Itad;xt5G9&DZ^K%1oYXQ*~PQ!XLmQwonFF;k^pc@Qss8_x|{NEcU zK>QPXJQN-aP`^Q$3td@w6L10m)dO_R5OfCsqXK?x;5~2ffRnuY6)FpCVhH&F@SCv8 zZ7@&<+!}19XnIp$e-y6YqT=GocQ)8*9}s=h)pdcDfdt$hoDD%H7<32C6|VfBH;O=5 zXAfTQ;ktSiYj=;_0}>zz=eB@Wn}~=bybq{OxpN@4>lzr4B!gG3Jjd!p)e_bc3J@5m z*kSSO2o6*J*ROvS z53KneAisgC3%KckmIePEEQznv2}n;M!Hg^Xwy?0fua7$iz`LSe&&AY-A$(A6^Cwnb zhJ}S_z?lP`c#s6zy{*m_2jey5jN)$q_ImJ)C%gg_LV@HAU`k>CH{e16Xbd17aE`YH z2oMMvC{e>98b(H98%3#lX!Q1fel~z+c5u0ZS#Jg#*h(9ouQfdd7E=4CPta{eKmYaL ztey`LyXOo@5iPUgbxh8HXj7s=a!@x@YIbI35Qq-IaDh2D2v(!}I}HtTfVyKRKhUWd z3yWJwa8Up!wTTHzw7NPmB~0Z5H%lKg1JyVbpvHmy7HGp<$bX7Z;5Yzk-Gr2p3|Ez3 zKJ12xdYf(8k085hU|_Id1YIhAVd2M6+Ce>`ftCPYZZZxqrE-l?}#5G|GBWmq#@(AVU|!uvso-(mU12=xN9n@T-~I}`KG;5w zY;8kS7ZMDEvD~S_rW;_~tD^(zss}KT1%4@z6T)@7<2-St;rrAS{4hutdO=MK%L1A_ zu-yPuk!+p5#CXRXEHJtay+twOm0ws<*Qas?Vi z>+)7efO~{$O@BZu0MeDzcWz*9h6f`P&|qJg{~b${dhYC-u4G$Vj~4}8ax7v~X(aNiK{-jp!B zR>nLC!W;4)%;8z32-Rr2j}kjTFc|nhmfB5;Uc!;CEsN(SVshF^3voCh2s74a;+e{|7cPDotFCBNlE3>^LDf-*Ut* zZyO250u0yb1P@hSJ^+^4*;>c&jL1De?_pj)weH_~Coryt-W2VM|ArONX1fSJLG3_MSUi&)O9U@mzGU=e(UfU6?vdD*2~JkKhiz3_Cc zv<67FFzE_!b=*brCV^`@g?L}$F~MGqC6v^=_fJk@^*!^; z7_po5uhYk4PVN_EOrNqc;8Ul?`FC*2L++ZG^h9}L%aFP{8NjHxxY~#H@DSx(|2mo2 zJ{uL5lYM9^8QWZ%qzpS7KEgVux!^-V5LWp8&cvIhy}v*DbjqUeCodd=S{M=@*%~67XwM3&KP+7x#T`eRD&`NsyPTSu=4h+*kk^MVh{&Wf>-Yt69R7#iZ9qp zcJ}t5EU#e(Cxm1Oj&Mkb*_PA)yTj#|3}#i}PJ)5$%(zr!TG0AK0DLW;t9cu~hU-jb zWcus&i*e0#DUG%Hwg2G)V2yfdXt48oX?5CgF0PJd8R+SOxWxKoO>~Gd7!N&lkRU?b z*ZB8T0i~r^d}e+^&;@-oxHZSGVtqxuB7Y4i!$pDRIVwm?8+l+Ebqh~GBiaJc$(Ek1 zr?W&@ZMGTcJL_73C2`eYENHD%T!tEdYi|#PDPWu^{c|fgC$MqAOI-hjXEiv!Spok6 ztHm`4AjdcZ*3Hi7kIuL^lw7bP5YLG>Z{Q$W?AWna2-$D^KR{lG9ajJ011W=8`>+Hq zqFgQ#%$lL-g)Bpy5~~0vEnN#!3OPBm5GB@0Cm>H2m<~Jv-DOa0gstjs&F-2wwmv=^+4< zQ2x$HIY5Kr)9G>kC-3Oj`T0<`VC}NW6yY=O02i12tu3}3*qYAF*Fck1XAHaz_X7W& z<#7papqBFHK(z&9k1y+#5s0MD(cz0CesJx=!G(?&n~)H+tjnsa^|Q4o2Cw$ZwJA$I z1;W_+1DXZ%zmN?;;|fx@6G%7sxj~!?oSgLjrk6n6#_Guc%qtJCA!`%v$nL?ouO2q`w+3j3Is=~(RB-D+H5O(7V2{CYHE7*I z--8L1>MLQu07^?+_z7s5?t|$h&}}Fv24M0T8r6}}K{cMo1;5}|Ha9n8e=8ywdxe0a zSVqPagbWQcxOxUy|Ap?K^?Uz?>!$<0L0C8l1keB; z+u6wUKD2SWCIaz=ivwl^fkB*FCj?uKV)Ql8kp`gh8g>PpnUnu^+30JabIb1!>*SY_ zAbeljy7Y_TPy+!Cy8OI3p!fsBq-k|BaEzK^lf2H$`%qg8m-)X}e5HT{pUGmhwsz|; zA_Yi2b;iyiTKqw5CW0466|Y~P>g)tTVUF@sKEO0RJ-tW-NSED^8@&qFY7p9$G!o=4-A#1qO4ZKV7Dj&e-f%O zKnLyreV>ipJ%XU!^YaY&M_Aw*L<8!YwjdH>Cu86+LLmeRwtk5r@XHu;f?*fG#wsMF zh~`3=DKG%?AdI#)L#_{>6f`DbDDD_EMw#AVe-f*n&<}AMQi!@H3hbu({x7vBh6)`! z#54*a7*Y?cuLlStz$Xl|*_}{8L7Ys5%>^eIEIO3lazP4z{jKa01cg@T|=Vuq>;~-HryXTE%#je|N zV8tgB3ZfaV=3|L8dD9t9a6-wUW~K_|g7OxWIbe`@EExvOg0S)Fi+6-5h|WRS=gt8# zHb_#28JZvv6j-M~uz-SBhZZMvU^4E8V{bS4fBTRo7@pwXz3KY1I*8$A!r&pqMG4%3 z%#%ZH&{ya4h7&E~57Btr>=24JS5JGGrT`3WW%`H71cY(Oj~AYJ+`Q>;?Fz7hBFtj) zPQM0$Oud5t$NOZb9?-!SfZ(KH^qltPQ}_U3PTIl%n|-;!xV_t3#J&(+k&4|#Uf8*e??Eu_mF#GiGc(|uK!bB#S?-6ki2JXSyn)@f>?S$}EtZhX z!eBcHcLF`f_?@*Vpt%d@ZAT!9+l5mK$MwG`31<%?Ja$0a-u}!d9t?)WIXQ2ANQY#k zcsk`PNBM1}bQHCr@>2&pyOPfdz`JC)D~heW*80`ThiHHGtCikX@qv$m>R+J5p`3aK z)1z=C%OS1FFC#?I-?3m8i&cLOgI7b)#{6>`3K2+jq5D1#wdC5=0tFgC5y-$m3gGCm zhK2@6H-l~$hz$bBa&mmkShTv>J^}`apg}VHaGUN3Se>S?0$=>)=GO_1@nJMSUbyl`lI#ZA|Zj@><0bMPNwx2Sja9f)xVX0=+o=z z-gHU$PIJa5N@*#XYWuT1_K^W)w7H_<-MbnZu9Lqv8XFpzX0JeM3iy+xWO_}s`-><7 ziITe2qSb_XfxH+Pa<4Qya(i&m1XB2C+(!BW_G3+Elht=Zv=;$&`K*2$^qhdnkvBw= zwYpQncd=Zm1grK7cleJVMFPB_`EcaSQM9<8cqZ%d4TWAKTzm}&`E*M5w_EkyAM$-^ zH59K=jYqp+;yVk5ptW-E`l!ns9CCD(gWlyYTCKWz$;zJPYXtZQbX;jDDcOUux$5e; zn1KOWKRd6HVdE7-Ql#&br6DN&Gsr-f(EYDOyy_=LW5lUp4Y5Q? zn!WnNo8>PXlfQpU+E2dU-95P0&;nXS!;i+e({tdwD}GcYNOFU{^*w!kr*h}b8^td| zUp$k68A(MQZ(CH{D0ls6Z==**8s@1WmeVnk%52JmGK4GkgkL#GT(ZD?6pfl~1m=5J<_ry(x~20zrOK#v4E5hy_bEUy8@ z+p}lSfE)$mEzp1HER*oS+K&|#iPLHu8`s$k@h~yH1cqqn8Bt^oFktichHf()#V*1O zKPY3Y+ZtWaZ zjIUa8-_y3yK%28;M>K;y$)f}W`5ax!-5-UpGn`vkf=+@o(A~ogi%fZ7n$hWr%l(>t zk@V71dn>E_fW}5BIA>l1_WQm5CA`;!tmqfEA*7TnH_V)zVzF(U$jA`PXUodYzd65u z5G%R4B^jQ$VK581y@DJt&3x4oh`%4!OVW*PB1`nGRG-6|I{Z*|c5&eo6dZQ#${Pei z8+9}Z@g+JM8EKhxS+A%N#+f%n^w`ahHqS!)pc{k%vHgQ@5F&8j7yH z`h)ZgmW+)3X?MdH$_Ik+P$xpGgnAIv2juRzAmA1Shzbm%v6|^2K%CGqGrMBi3Lxf1 zVkJmuz?OAmYs>LJYjGHTh8|ix%aO$bHQLe9v0esfK_C;2HU0+bgr9=bEf3(Kg)YMe zS*_C6(IJxEJRCoM`EAW?p&j!O=xj0Sk0Smy@k@mUhRhS6^Qo;+D_7(Mf9t@5%Bne& zrtAx=PRvU`f8IbQUYw0?gZ4Ve1yjdpbdg!e8$&lZ5> z9?MlTPk85mMiZLJ91C|ht7KSK8V`*Io^Es(vdcP8`Y1fMFa5*vp)mmOD7Q|%SMKND zW;8$|#AxDqsV^fPi6QFkAMERLb2%rkfGH;9T}D2*qqI7`-9|>kYWp92ObM~IZU3vc zu(j#?j_;&8yy`Ya@8Zdk9ONE_flv-(%G z7g5i=1U>lG{znt_?!uJU557C|yh&23sH)-3Nwe)s=8&K;Ic;fFow=)^EYp=HaG1eLteqF%$*fI`eEU^o5KaygoW??R>{tvjPsTG zCwAs|SaYE725A?7n^AL~dlY}uOv|mAJ153fLqeL>3T*^*%ye!ciIr|`Xi0@4A8@jB z6zU$ca{#jAb|cStSnlWiA0LBnp;BKqW>;^n<7(7q7sxs?FU_ndO1X_9Ah#HXgB3S^ zBq&?)0tLMC@jH2+)hRU(XWj}@T6DEXhU7^|1T%N+?zP8+0v^<-;#jPoQSb8c4Usrt z^YV>r3XWe`3nlY*-QArzbHD&;D09~C37{QZSFS{!vU+V^;x^Lz;iItRt)O>(=xQ(7 zy4C#Q>MOP;5LyWfVWSGop-(m{2@zmS4xw*A((O23p}sYYX{X@!Q5~j_9b;3!alC@h zap9IPgVHZl3eI9{uggg7bpKIj**CMHsiCVw@B0f^%a+>w^_=UDhJXDs&uTn4@MyZ{ zYtXo=ceO5^G4d01Y)%3LW~44$)|6gMN#$uqlmnEDz|OSFxm(vvp8bA&mcMrRLVhp% zoVzg@UY^Q%MAP5C$G`8MZJwQCjXmiRLe0lJA0zCx*?Nc(^B!NSXKlQ>)Hr$$#S6E7 zp2lp+m1}H z80A)86hE+CkctvdL!#idflCFt;M*bE@%916-c)<8g(HnuiYa2$bGoART&yeR`AN! zUpJ(vFi%!w-D2Otjn`*vyQ1e(#v0F^BInUDMV% z#D|$+rqk2SGwgs%)EsbjutVttzPm810x;mEaYs6$xbNGusJeU&x`@mAqEp;I3l+V%!w*&l;>FUTH9aNC5VeCrcFIM>|ICL-mR8cq_RH8F; zfxoVAw^Q%Us>tueT0}`(+1jo`3IA+4`^D$VXHeUfHSBz@|5X>h^!IGn=d>SjK7y1N zSGeUB<}q%+JFyo3NV8hOeI;rsCwKEn4DOV+#9|x~;)7sAE#p*}MSAfOPVzG06DeJG zuU)x2Ne61Jb^>E7bPp>ck};`rg+~fom4e~p4SP1dsuyk;>y%Ooo5<7q9M7?KQ=I_6 z=QW*EsJt!;m4jXUL9)=jBg4kE{{&uy-FhNOFqa-h-)2ERtY(>HpU;fmyBm1_ReAzUf=vf}gc zGOWkIE%K9|=HniTF;iz4f>n=0uHu7d{XBLn;xVo~xT&8Y*n>o)X5VDuKY3F;HWQ;| zQPx1KQ}Xu(I@+?;{kd5j|B)BXYtGa_^ZUlmD3_D_^vd)dX+=-VYRb7Pq$>mkA~-bk zCO3XV@_X2voo`cAbi?QigLk+br19?Goz5eko$h88&`D?F?ubb4<&#{=LC;fpP-Diejn1#0q;;ND%N)mG5#?3Uc^t7*){2cgE-J#5KZm zMTm2A_?9hdSW!bLbw&lSW;OGj)=jjHO-n4)+-AXQ@8{5IWE%QLLF)%bhl ztcEeTh_IYsKh_S?Mf<2Zms|Z`6ZDdZ5K@}=;?!~nQ@%ATXy{BIEXl<%IKhB;7u5;b zL0o?=2JX zMCvCKxjq+Nl*#0wqq~1Wi>4z3d_{Y%)F4`bI9m&Vmb5~tU{BWZJTJnrn>%@c>Zs!j z7!e=0v7T%1+X`al0ac-$86Jc3@Uns-xbkhp4MF=H=oU{i6_a?@2wYqJ)2g$?39MlYakI_ zy_C`M^*2P3D%=PL$GhlVYeI%QeY1AN#>moEBP-M8#Kp=cN3DBZAQ8QR`K46&x+YR ziMaaZPs@3E$MXK~FgF3$HrRk^Uf&<)^bBXDz&Ae)8kT#}kZk5Qfk`&g|M)6Ne(00w zdR;9!QK!@V&rCh7nbx1@(lBCOf81@Cv=g}RJ+F@8Qu9a~j=|tYpkf~0V4W%JY>5kc zkjB%$jTo?Ux0S56E0K^$#H7xBhz#yqtqu%uFb#E{?rA73N>ZBJC`*9VBK6WUSCNAQ4 z8k=1#S13I{0Xtqd{^zf|&-lHWDc=>jwv)W1eJwf$CmNcChv%NLUq|gNtv=zPBUgA} z2{2a8_a`Kw;rC!D5LVUg^W_5O_4uC3tCzYbMby<6YW8b5iKISAuH^D8!9~ zyaqA%*tWo>zfzhsN?&#r_4#yUlRZ5tLoBszl0uC!NufnWmTldV_z_DUZQ_;Um=QR! zJ)b^Z3a8eK1wc;0KaR+M7?Db*?h7=wJqfjzH|tOcwkXcv%&@e4 z%4;1hJ#Qj<%HBlza$I-Sz; z7d&VQo{u!AS-J1HPX(#* z`&wCY&~(rUqar7Aov)Td$lX3316mY#Cuhj~sEEz57DRFcvhu; zc|!^sS9#=*@<_`0!YQYtVY^6h`H&d){K)IUAD6x)fI8~1N$yU+#H4~Bd3A*sCv(X| zn0o1cmfk_r#s2b30y0=tS8G}KXxzG^<=yN+->^o^Z?-q%oriZ?_E?%t7TO~ zjE%MJHtw;09?oRlMoj(gi!C`q7D78Y+CeC^?i(JkM1TY|AGDr(s#PhOi>0X5;<|2{ zv%00SsY+-Ov9r41%AI!&nQqJ%>U}J4-`nvH?tYq`6q3W9nDrp59FfqgHsXv;thg=1 zH2Tb(gxc)>hTWsLv<+|bOm*VC6r#=@derr*r@dOW?@88zM*G(`rxe#D&aM{hxgd;1 zy=qpb=2;1FGq}vU(3&3`kJ1F9)xYE$&{VItFo0UYN35p@10y2+$;lXxF*A3Z7Vc!z zozDhMJ0jD2K(iDIdjL2jh|7_%NL7l*VuF~PhFAKy)v1g|$whE78J)@8YEAE0izt;S ziLtYssKwDpANfC;8ffDqpf!1WS9OdR@s9pes-Ou0VxwB8<1ddt+pU~ux6H2AvW1}2 zZ|IrvWZbF=DJgk|n1)*zI!nXT0`HmoV&6>VaD`q3gZ;vMS%*-( z5VhHunx5jBXy7o}^vdRX$%Himk+2Y=LdP43?%Ho>Ym14b z&2u8(R&+QYQn~hucBXr-7Ls4z8-Tn1S;s|#^k+NWYH@N~EqE|AEQ?477AEut?qIg$S|Da~y$ursGte z7LzG^`eGq!1U=KEUlWZ?pLggK&ibh}<-DPhZ(*VFP8ms|Pv}q48Jg3j_ohk(d7V5# zJ+c;GasKHg#B9p;km8W*wDYrm;hs48okPF;p{r`Xyq`=F1Fb^T_=-iyl6;*QhXuoZ z!Y9lHe8eKFON$}cRH?0|n@&VkeRhI|X|} zKEUlF_HxBlQs-#rZ(+fhx%bnup;`T;0J%rGdSCbXt_@Mf>KW(kr?6Eeqe4XK%D0fe zl;XHFhF%FWB#8h782hBv{_MzfN%k<9BabdQsSImfFz=1D0Pl__lPQt0r0iOtm8 zhbOwFYCY`WkLap9mSmdm5cWRJ;>~nv1yUO+S`vzfFBqNwo)9hN+u%dE@(yD6x{*Wgu)M!auU{}B zu?s{!T|F~^tDv0NuN!Op6?5;lF)AtqDB1 z5CLPpB_p;=9+zBwexmn4?@AcQx2Oxjrv4S)0?@vCk|MzyOm^mvuXg~Ue{Zyi_$Sk$ zS&c-_?2Df->M`+!QFXHK9ulP?SpVQqcOz+(IG&Vy5{su*FV*Rk(iY3p<15BY=q9Le z-(eyUF_|nbq771H?jVt0S`AX=aZ2Y>``WMLJ0~?H-o|Equ=H6hd6cR0yzcO$cwhJr5R^`cntPW|SXx+kInHmC54 zTgM(T$oUU{YM;lyQR~{1#1;lyH;P7MNR=RQEUWl@qMGTLNs48wQ@Z_xInDhfB7Zi# z0976(be_%4dJ29Y9W{SHM(6#&5Yq7!0Zl5Uq_tJCLf+HHs=oV7oG4M$&;fJ*?s(?f zM3RQ7tVt;?b$4LPu4&Z-93Mzw=GD{kOZ6X3H=S(gKe8=)?{lUb$Awg6Pt_yzXTHz| zS%MRDzmt{|zutlwPvtCb0w$F!G>5Om;r8v3l<`?=(xEN6YfAEEBUPS!MOt{4*bC9;EG9>Pnbp4%Wa+e#q$~T_ zJVTaon8z3PZNsg2#Noa1hJO8sZ4FC-V3-XhcbM7OWW~u}ojWH!M-0;b!=$duH%IWL zwWXql#7hOkMV8k@I>q~>)Giu5F>?nYT9W$Esq!|yt!Gf(dL~I|zq0fvjc}b~dDO6U z5ap0X$DD$=_tKI>T{|h?wYs`DSeN%=K%ZD)$Cn@uLfk=m{*&&WN?hji2t9gd9A9(B zrX@=w+Rln^8`djXHg9{~j;y89M(iJQs(l6OEHv;HPYshW^ue%>u!2wnt^RQD&P~W@ z9uYMdk_#rK^(%<$_N_-Dd{Led2OXJtLvVG+F*mFF=$9#IN*_sfX^DwmaXtVZ%$VyD zEC2rcth6+l!)4d!Kgi5mf6!IO)6G4KW>{CH2)u~fk9QssQ{ipZU73y{8WN(8bU9DJ z9^mmZOvvGkXscS|!q0TKdvQccfcWZp2_%K(I5KzI$d*ya5j;j*yt1J;DE_)pRJxGy1LEs9pJlD|n=Dv8n zV>(}`mQylO|87_gB0*1$$7OAyj+8q-cuHELxOO{!PReY|)$CrC6&XS59v(k;u5z^K z7_8Q-wMs*qV_8H<4n8JURKhj8>xqh2NG_q>%Mp8t_b=HerkjfChQ!tSD%U(uSS=(N z&AKhmbf<6K8uwKvs>Gj>s@(7Ts?HS;EXSU_v--h~(#`!NnsR&NAM?86DqC{Xc9Jjq ztTs>LxiZq*s}_R-)Vp8Z7{NE9Ps{(CNvDKX5DFQN=viq~AFIAHO+u=}YSe8hqVk&1 zUyCaU5SBZcQp+#HT&0kG}GAN_yZpA3!15!z;;AkP_D+9RZTA!ZTu@}uJ1Vx3cJ09Zh&x=au^38aX zCbl*0Y9>#n`$S05G>H4Qwl0xzl=y{yQI@STKE+klcXago*-A}f=FgMnIhc*fR{weK zo;q$eXWD5l@|RVPgEC9i|j0u6#M`}=XrBJ>=|Jds@-zT>M&n0v+UMoFQG zNpph7E*Rs>tRqs?2`CE77S%Y?7MvTcdkL1_o)7HKFZL;+%vNCxlpa~_w@UtvZ;HCc z)@MB}ANK~d7ML-=xk4+tPq`hLRTwqC*%z#8JK-y)+=$8w{+JT}^pgH{S6xOt9s!8q zs6kgULnh}~y0W&Pms^~eZNyUl*6*{hKlI&eiVETJ9U9p+fB-C=K$!ira^%}X-FlFk-N4+CH z@4u0%rmMwqUEJ?vBW$H@(y5UBBNVSGrGLeY$0$ip)K6gQewEY%Qw7BfJ*^^^`z?tJ z4m$T)F^?K4?i{lb&OVKyd_?FkXfFe|RTZkv|61;94dl^P7`g4?4WFqmPU)D`7Ka^` z7)tX8PaYUccp&ts=P9h~Xq71ue@-sS#d7fW@6t6W<)}-?f7$6EgfJ@hR26p9@EC?; zP$>Q*cgvV_tE-d+!nd+oh*}NTw^C4`v}d$#!KSx35$6U4{)4D~Q?UxWaKQ`8)!WpH zv~+Ew7;V4_E@fc4zmJ{stVbEvyVx2R=tgEU+8fa#K18fDc&U&7zFN!f&(>wfFJ_Qn z5EeqTkOq$Z?;K3aSB+?W|#?)W-j$_b& zNH+9A7`Ei^WbSH46krylmpD=Z4KV3{Aw_D$bBit2@%TO#ttb@xf<)`hhThXl54Az~ zE_vGBF7=}Nsq!ui2OhVTLY#!^PulFX?A=v8Ihk{cYzNUP?y1Wxlo_wDCEMUaS&8zd ziL@FzxP^E+A6ps~@FN1Q8e9*niymLx;$pc{OX?Ur1*yBa!Z>(tNsLQ`#7Ava@-;NI z%~M(qv(@rIn0pZ@GrU5WL49iqK-c4FrkN7U)6`QdXV*SXgHwlU#Umr{c`u56yfUUXuV zC>=HR`~-dQjF&^&YqfN~qSn=Fx0(TZ>YtRBXc0MJcnZbas@&v`=ZDp}p`Vb`g?)c@ zmy|2=`30$e+CS?5HH83&El2|o8%(Mu5Qu5=ERV&BhnXJwG#yq|(vsMm?4?B?fC&{9 zJko1O3Vb7xo9-9-cO#%b9gQ0Myz+&+8a5= z@mCHz)Yve}`Ln&~ZlC8u*iBU`=_K}%+Y$J7TkxL0&S$y&Dv8~Ez~H3VoZj-2+y8x~ zs^!`!0AhjI8fVQ~{ysX4*@3Na> zp%bMWE622fIC$OdmftbB^bh^nNU(bwnq7A?aqs%vcK=Fq0a3Ol^oK`SlXt>ZI26RgY->GfK+fVjc<(f|h+mIHi*4_DUA<*Qeqi)Q* zZ0b}An4}AWJ$aopkM2LT2P1e5G0H+wgGBZk0Jk2O_O}KGn5Xa*8o`P`dzL<8FCA57 zCqRlTzIZc62}hXJn~^uBy5n;d3P0BR$3@pvzA(mM@3j29F#i#I8g(Jnw(K;Z{GwaVE3j_HtZEhq7Zg04U+N43IdG=69-+s~0f5wlShD4TQ*% z>Zheq@bjHz>z9<i{#!qm$Z_*g0N73-(mn8%!$JDp5Qlh!=*;v!c0n&`muHM${RCX6dAQaN|fTD+67 zll9vEszGzwjAns0Z6_b4r446y#%i{@EV&h1n06A6jU>dd zw#Yy(wf5b3OmgVRWfNyp$)HbZ`8H|QwxB9_BP|~mXUdlP-0LZ*&W0vKXOCu@p6ehc zUlr#P`VUx(fBKYWVbLeJaBn-z;FZ5W8)1<8ksZtUYyOB@>t?C&#D=mpX2+JCo^}zG z*jpLFy(jn#M*mYG8JQM!XPF-J)|_{BpX*8^mpRUEW#rJ^`{yn-KjDPdC8yLKD$Z7@cA%??W*5I3YqMcpYB4=tg~grLo^ z^&bu>TRS?~5C{_^zBOg|6t~O<((e5sjFZ$7-m&f8={_uJ!{!F;^xIe1tcD&`SGby+%&qG^jh4fNi!sxn6yqVb(8tsh)}BT zalO8tL{xxORCvRyMd=a>B{W*sxAM&PJ%czS*=+Q*?Rzx56#I)M**LXKg9o~{(6duV5rY4jH#p@e>#>E62i z_KiLLNdWfBJy$7Mpk_+rk@T7rk7&tHzbC)@K36=ulgrHNhS_wg900DdHyI+~ZB zdzd8HW1b@BLK4FjD%X?Zk_w}B%b81JsTEfyzg2m;8_{GgO;q<;J|z^ZykABn##>hw zfAeb#`TdU8O$+12UuIggL7V53I!?8gLwKV=mGU!R7F!{%Nz`0~7MYFG_GU)njdoM96k_ zxf4jUE)?bC)PLq}6X}YWYVNYXwl1ZHBil+D$O0k%>Z>@ltlREG;@uIEJ^Mj^|F)X= zEJvvTPSX<0`C$wPsZz39-zU?7lkSIl?x}CqABB0rGBdY`-tpzVerirHsvwS}2)r_! z@@Okgt)?eWyBi;YR15sfMUAHE=DZv=fvpKL`%Bt;*WC^*2u0xGaAW1G#@$n0-1JE8 zFS=^r`AS8l%9+~~>YN3A8jg5$c3LR^IEal9F6%tHZ)`svK6*8gaf}u-qEErV&inXI z)WF`1XX-evsQ(vvun6-*`}tR;niIkJgb$7M3zwSmN6mZBA(}criTZxE7XQ8egA7sX zw#K*5SA9)|B9Q$irt^*papxF!YKV61Ya@y6P3F$aVYphzi!P}#bfopDH=@aNvzJH} zW0Yxr7`^$BWKHbPMvPvJ1U01`4m&MqP9_r|n=0@G@##anZW?vQaE3?$z##4&R zle%4e^_?yachs##GoCoE*c85CjvB$9dCFk7-%zR$FQet1yOHPwz6d>y(20$?VTWyM zz!b+^Gv{zx){cfFmZW>cx_enSCz~Hndp|K_FO_6|$O!j1n@pI!$$ayhT(+(m-y))$ zgRa*}{pGLR;!@Mrdo37t%6m45&rNN4zl3SiWnaFT?%E`R>kF5L?bStp&2+U?GXB#H zXld+~M6R=jRmx8U6A%{IXlGd7e8RaaM;4%7heD!tX)eC9%;Xximh1|jo@%z4teRx( z`(%iPuG0GQ^KFK`&of9SR9=m5PnR2yWqU8m)#tBe0PKd49C|!U8{;I*#i7{mv8V^t z2TM|#*CND24Y`S^1$%a`_uI%`JQ0sktT+hTnD6-W&4NId3i>$E8n5Uu{hhy{MM^TL zt3i@$sFTQN$(G~HT(DvsyM!9ucGzcmN(bOl-4haaQxrI{f+kdB(%>Ee8o79pi8b~!9=iLR+v zQe()KdC|3u6IY$5tL4UPO9G@=ccozet|z|}Qtk6sOW*Cy`3@0!XT9g2N5hBTBX7rl zoV!X%oaoa95V(jT5pqigU4+x~H4YlQXq8@uEgaou6cOh+@&=EJ_LHIEitT zfyN{k?ur!(_aHeoLPi4B7kJT#O6-o>4r2T^+_?O^qn_knnx;%o8dpEK=tfkGOq;EM{d1caee6LyZ zw-`q*K@m?#w)@pL&#*T?0>O8?f0r?mAig5Bn%FU1z^io~ufj`?gS^b3dIGGnTRU}{1GV*b%Vq&~MV$;T}@dhkW z+?oaF3lNOEM?;CI9=U+#3$FGE5+iZO?P%5l3Yy}}YO3~INy z(65OodN&B8nQMAWq^MUipNsU)FY}>kYNOWbSYUn33N~WM&~Kw=>*O0gP(u>T*Kw_J zMI$kaK`}UzU01{5D0-4W);IR%kVIwg@8_)dXL{_aUMj9h390j_5Mx0T!M#5cBQ!!B zd%8WN!l?t)WjIXE07VjBOd#zKKFujkM(M^WF({)i_A5_`hjdr2)y@fg5_ozZJ}JN= z#|&Hr#=6`<$n!2s(C{9brDOMm?%sDIGs>X3mP$C@4&sbZ%3!w*nK5|?o2r7N9J$to zY9k8U1k|zx$87b6T$7M7}A#`+78C)SS4+khuKsba)!0`8y zXA|p<=%}xDl54CY{-o)!C^6p#B#bwPle2Sd(y%4|ybS%rC+z@yv$eIl_-UIFZRPNB z1DW$l5*g2zK&iR}rRUNd&Jlj<&`G$%d-G1R+WThfZ-cCr@}8V~`o(%qXVTe|aHYtE z-Hn(_3FG4mk4u--rsO8fovJ@TpkzI5($pgw7_o&vEQ3B~j8IIQQ0^X$hv~dB#B=0jKfIx4+Yw2X6M`5FjlRK zWe0s~qs1+Ox{hyd?!5J1qa=^aP1i$oI{2@U+d_(Hcvn&somB36+dyLG{u3&__*h>{ z$SB9AzfM)kUeqkRW*UE%gTUUUv`949ql0gCC{I#l0*hPyPI3qu%zIwb-K!hqNlRak zvp$DpE}q!>48F_F@^}yIkLtT&IVFY_4?4nDyhp?}Sf~^x-tX>QZ{`cXtMc|l=gLmn zGG82*WC;d(g0?4fDlr`-ox57|(vRZfIhB3}NvY8omHkL5-hHK7d|5&(vCOh{IU?d_ zWbHHBiDrB>jf6%(WqYLrz9Q{8m(BPkhK&AHww@>S`A)ss8>22)>^l|dMJS&x*JY^T zJ{t+i8MlL5PBZJ-B3vKnKQgkcEQoZO2I@QYJxwls2^ety8>40MA_UhA(q z{RKU_)S`ApG~zv@F69f95{zP6ac&SnOMA|%5@qY915I4H;<}!|B@ZgJ4jK?CELaz{ z_0CIlG#gm>FMT`(!lAgoc7ZZ+y7fXq z4wUA|c>s}hf}aCM#x0lvjhK51qw^r{2NMIkHdZ{)*)WRAEf?$&*RZVJk^7zb=OC@5 z#j0hSIRWnr*)NI3q74mhHT9j6-~mRxkvJ~WwjwU-A@S$^-8+J$ZA!`K#4@fl7sX$h zo=k)zK64{~fa(=r7>+*ww%i6?i5m}Hy&2C%H6Fw(K3nGVy;T5zUW;%OxPU8pNf;mQ zQ(OczrQvEL6q_eZOr;u%1WH3M7q!{HG>nZj>0{;TV{3Zl`jIDew+gBK*{T#r0Md<9 zqfzq691`k2=Qv!H3(~7O^oZF^<-dGk2OE=j?&@4tqQD;#zcMMNF;s~H_pG7v63Rqv zWwe;u&|Z>>!vqKmHSU0A9(Kwcj5%gxe{4r_9^M8HtFX`C9uN7CyA4bZA7()5Jr8R* zhW!JMmz%<;v%+@)7!tgH4CJx6h5xw39|*c(TZ!#n;D_xM#L@rxi4>6J<*nD0k`}m# zhlpEw9|95-7l@`2bs<{r5GkPkNtXffQ1uMu#k9!K-xI*7Y`?t;H59@(htG+bOZ3QF z$87A|6~52@*I)6l~M1(s+LV`M;QY4|uBk_ka9Uva&L=vxTgTY$6B8 zsO*tFDl)RNM--WHY=vx&Jt8})&=J`rBU?x|S^w+YpWpZK_}`EF?!GJcBj^2ojq7?| z&%r?`Qu|WL6HOGuXKQd7nNMpF78zz=d%sM!uS$qQ@d_{OBx;X_s|V+_TrCj5J^pQ9 zm;s!NC7<%uhVoUPOx4r5M&sm;b2{n_&-*h|_RtDF$vXU45v@=<|FnW)``?twxMy|P zP99hZ;w(jq)A_rnw&0KA$^=nLCvE?LVY^q8MIYwcE49SbtM#?|Cp@8`)1@HX^W66T z;nljG0rAHD)uq6tKY-_)Y0mk7#|*PXPwDj5$9-8(|P#L%;tQvUNTZ= zbmCj^(jj}ryB3?9A>WBed#~5IujD5nERyZh2Ludgiqd~LUqC$9enf}Aee}8j^>x~` z&&+2?eQ{rv!nSKAUXwT?U*I@i(eSt3XF%&+mBowihyXJIq0W<*I=U~Cf!H`I<)mVN z6Ruqwa1^^f;q_PcA-Xqk!T~O`i8@D(QPNC{>ifKKSYHm|QFhJYb4$LF*d&}87fnZRLz#1hS5!ZNlKT~M*w$V|AnkboiW?6Qv;Y3`6@nA1^M?LC z*}iMikxPg3sehj2Q)9&huz&UnQsFWGpe)K|km{a?@UHg|fpl&Ld?XYg=eqlI?kjoe zzU}GbMF|j3-0hQ`BSA_jd!EHeOdWt>42zpwEm&cIbr%z&{QYcX!X4=dQ&}KZfWhB9y#V>GLm^e0yACS-bv&bNNjyAq2d7pVyv-k8)I!+2rFRUqi`?Md626AFZvD1hjDE zzt3DcnyjOq-feEkqbBS)$WPgeAJtPotcYnl>3Jy6LHa#oMvV^EBX~*U{ZC_5XB(qp z14+yfkBsw)C+AHw^&HmU*)@bC0Guj)d+)+f3UM!a0R%qgd(|oZaJVFRP;C(rDrLvA zkT^YAQl)M})ft=I_WerY?fjB6K{}kRo3iR+(GN45;&_2{D) zSAz81+eJE+7|{k!lrg2@Xht!HFTOGD+6P8yIer@{o5z6Vn^Z{H7$>)G_?0g;GV^}+ zG@ahp;PLaM?%TI`o*{f&wMqb6?Kr`Hr5kVx!jEw)2m4V_ON|B;FGsHiMe)PIa*TBPmIY0?WI+|}H5y0$4yj}IBRMpqucK^8DY-cQbmC7g6>z}sl=)QDFv)Iw~EpA_5b2YIh^;({}1Zp-y3}I_j~W0*cfdek_9PehDzd-;C%H0TrnB zr*}JroJ=fxA9Heu9iHMpJpBYNl1|sgf+e4uarrV-5c>$z@x%qJOyRVP^y<%cvXz%~ zWdRpGUu25nrAj=!nR8m;=-fq`B2AeC38 zTBiE1i+qOjq3N+WzFeZFEyG!F@5X^;QF^i+ip~IdMqAI#I+1Wisl;ST7X7L;Dm8Cd zL6P4niPKa@vFCs7iD^LG8jazM{m9CMUPdZXfD?{W(>{Cu3`$o4rNVZ?gEYSNDsh&8 zEharrfVZ*yvQ-$tN{ov?$DTYp;lQQ7ZCew|DUdC|^ufO8W|%{x#hVwl=Ml;xMCXIl zaEJL0Ifh$9v2t|Xnti)? zm8f%Al%%S}$8hH-=dck1NoT;8wp>;mz?G;-(KGHQNAg!z;l3&_wt6ml?d}nWU#4o{ zoSrIC?xX2bUPK(%ZfQ*~CJ1_a67k8gEzRQONP)^zm14n?rA*{=}i6>Grc7>^nB2=9_l{11h zm!OaQ#SL1I-3{rO28^FG2E%|rm2P>b$<^MpxaVzh)GD@L0j%<$H^F?a=vuv^VZNEuEvBC(#&ekPW1y{V{x_^!66fMm}F2~6b zOgB12n)C44^dm8Rnbga+waR?6*}$}0@~KhyYAWLMx1HeJ3_RO(Cxh)+ujaXU)vMrk z-uFMXlTpjuto5Y#!=$}q^W?)DQOpb^<{ehjOf%i`6y14#BRAh~%_}CUX`oGQ?T3xI zpUjw-5O*u<>r+0MX>ji;=~{jZ6g}t~r!a){ChzSR{A>Yq=8dG%XQQ`Ff*ytXA_^^h zSA38(gPQ*+lU(%%(5L?oASyQ<_me}R>suC_LK%iBEjKPrbVqHz>m+%~N%)aTo4O{C zvirG-xQg~C^#lWB4eo+|`msr`Nq6uMH~O!IOG~!vZcRD8oP~?F^UIgiX4)GRh+z6A$&cEqo_ocPgNwAZMTtET zJgB^+rmNi$1D0KVy3^s~wUyHqeoLgdUfCphp@_R%`4z5&6(+PC7g+>cyjQqKEW(ta zNmGSEPhEuyJM#%Z~E&NUNPd05kX-eOtYy@4gv{i;QDeb&rFbLi$^s5PqmL zy7+LKpDp$X8%wBy`t8n}iFSmujGvb?z8A@UKN-p}`!u|*Yjt1cbQFpbqp7J95|}!( zZ;zrCM|bZ$W*sRc3xSV^n0Zch#~akCAQ9Qh+;1-2|38@snD1nEGrBU>L#P~%)qba~ z8psCmv_Lwr+j`oiql8{y?^}(BPLld_H4i?RRH{~_T=+&>UUIX67L}a)p>Lq}_YTq| z^9uf&oH=2Ez2^F>5MkCEvNSE1;3|D7JXs`R2`$@UHP7!A5jG)Af@b2M21b~OFp|Q7 zNilEv-zdSSS9bnxGM7$1b(KaiE#5QP%c&^tuqtqEp56|a?u%j~>j`mqCqolsa@VG@ z{Bg1!K!!Nzj-=z3mn$Cqo$uL?d9znCI+#ow$)Cr|Oh|)56lWZSOVxmZBD7OG|3Lf` zm2*%3-M)1e&TSqj*d#<|-YLw9_5(nvx;DiaHOb)4WMJN#-R#LQIS`WOhxM4<_;de4A? zEkQ6CJ+T2MDRi|s~R#JtjTQ?W3Ww$d9{Plu1 za5Kt6c5loE@dQloYmR#3@#@B zM!sAUA8**v0d8=&Nb&iSJHX40N}X#ekAj(JG{dKAjy`;+9(}{Mx5}a)_@IiHrJhZ# zg1fHKSvh;d@BM}ng)MdV^}qaBdO*A$jwV;Gg44FyC|WW)=cUtql5Zg`+ zR#qn-s0__!CBrh4sS$)9A8oV-%!?=Kzywf^r`}eo|!==gq6{ zJy-}iuB9P95GWk9P&o4do(*$-R(1R&?9 zx~fZG`OkCUqD6t))(Qmty+Ac|9<=1CR;rh(6XWJr@D3O_sj~h4B|M=2CQur#h^**i z2)lR1XVQ#Yu5Cem`sJJ?QXeZq9)iiNHW;mFm~>_#RW;lZggXz0&4|Q93gAj3jQjPE zR6=e|mEhZy3){LB6|MSG|I=p5PGS#X1ww8x<*RjqwT8c>^gB&C2HcYP@gCS0|$rW9w7w=^C?b z42VPYKH&&#ZylI>WjYsN^bk{DUMwbJtp_I zZyOC)=$wPQ_>d^(!P*3Mu`&1oZ0uIUNOZSQpIU+N zd`@ZH`Z`Hy#kesq;w?tK@WyA6Yq7=(H*RQm)<0*}AnOq~UZV@^PfzEIWRGOm8pM}- z({HVen;ks(H9upQ9Ux0aqPwP_3J<5yVlx97;?e*sesho5qrYPA-Tg{mM<|0Rz_4Ak0 z7hVM|IlSpcYHMO}LSg-3evKT5=!ULKEH<0~o6EuQB47##(TF&hkm%Ok&@=HGAp3}% z`}$wEQO*A^DVxhtl<7sqik!jN{;1SF|hV|{@M zPudU(ZZhUUI4HjYH@oJ;v?0N?zow(9CCQC5q1q3fMDit0TYm2khzSte=<9~CKI;9^ zC~Wl&?6615xhkS^2#-H(|BM~4T52etm?ZS{NED7N{E=ZsF|6&O1&o4PnN0HnJBF}l z(!?PoQu9FrIXw6i0(Zm?s*5^PHPmy2wFZB;+99>8`K>bdFCiNHU5|HUU;T1|+vdu} zkbA$rsA?y&s@VV|YVtz$2MaNDx2y+A>z8!V@`uJMo=~sY8>-{(8BvmU3Q&FskJ@hL ztoq_gN+@`RxKIFDTACDOuQq1CE+}4=7H?6d3qf}mZMU5rwOJg`(rz>?WrF!TSS2ii zBStg$+LKQgvGr|l1nxK0Px-Feypmh=nTi0T3BZU<;pl+4w^ENWjjJg1wrq(s-J4r6 z)&y2P!%3Q3?F{b2Uf)$N+ozzI;oIG+HBsvD&Xf=stnHbKGEVNl3h;wJ^scWQ4g5S4 z19WR|Se!$UNlt#(>JVEmj|`Fi+6;JJ+u=mp$ppkIgl%*NWMaa&YcL8=e z#tB3JLMjlzs3itv(%|Z$aQutBZ98M5)T5`%I-GV{GxJht6xGt(R>6eWMKhR_X{R9T zcrfZDG`b@m%nvKdvbQLB%VGAGy_!FLe9INEl)3+moXD0k2b z&J%U(uK~}T^qLMhTCa!Dfz9yaE%>cW_g<->gASJEB+!CFWZVjXc7I+4?r=oAtPp4? zZwr^yhIsyK@tvK%9*{f!1k@fMjJZRXMWEMzb2R#0Bkw6o{ssQKRLH7vSynOh7?WSQ zMhJUAABWJ(7V=^35S|}RE($&Y!LdLWj=!f#70^OBeegx1987S3zp4e{Vo61-FJ!Ah z(RJovJi^v?%yPELqHx%KcOVA~>}!xCXC5Ac_v#)rTMDOh3Xd$PLwbTwD^kb}K;no- z87qD6`<8jLy_TakNu3y9LZrN{DwSM`u=4R4`IWLEmdnM9z#M#jgCmt$x z+j{u?E-svcPtfV=4`Gr)0Nn?CzHYvWJLrErt_XnkWNIt99#=T2j5hwVGzI$z+&ck{ z)8+ycSIyhKgPs8p=4^5Bk@im;$h5%#2lshQVg>0?=-Ie8yw|Et*BRpHmd8(K8a449 zdXUwcZ=YB5yk|I~=Q0jse>l;sa4j+?ZsR%=HYoF)DaNmyML;)q^?O^Piw0qjc)|X~ zw{sLL91~k^z1&!yo33;VUg;qqwp5*)aAx?!egbt50xH85-oiIqKSo=hLWO8?^kY>1 z?69wIdjYri!4l;<;sE#NM(SIWO#QLDE5B5gFH7J zS5KP{n-h7ub4X8VBk21+nf8TIu5AvFIupM5SOt(=F%HIyR>Et{C!jThp6|!jxHPf7 z%4WdyHcCU?oat?D&))8Ngub@t?Q2^^_V>iK+*dpc9~keA2Azx|{yro3pUFC1$?EzH zem!lb4Q>m#pG^T^x(}xW5ri?&Gczy0_P(Ua>^u4%#B5MA<7X~ zZf!c?%`Hg@ez`&mW+h>97xWUeUT1$YPe9_!i5l1Wk4KX)_*}(P96RYGmtMK|jD^$8 zE5Tg+^X~DapE-=SGPR!Z5I6S6Yy0BSOnxUdre_ns$dzz8f7sz9~merXN>_r}a8ABpbD zZhjJ||0!}77~M0r1m9P5+f|5l5kz=r?(YoV&4Mpk3y(IP2d8r zgw)N@fd8(qtCE@5N}Q{$ZKHBLhMb|3{YSlaAy}A1YfyH6iKF9!V1N8CJQyGGg|HeW zixSK&f(d^V?~hv5UA;tlE9n2Y00r0k(MI}d z;v0RaYbeRS1Wx0%ryuYJq@jh04ono&ipVuI)FSeq<~U=~X1>V!G=Syl23yeE%e+GO z_p4zizY`DQ&>Va3%7J*}F@UP6*Gz%l7|IEnEuwAQV*{`7#D9yrT{JL;zCkBNH+T|) zEYn@?vD(Q4&5t>H=-o#g*WFnoCl1g7MqixkmF!VZ4F>bO(fpm`D<=8Y4TXc5(Eq%g zdJeu{q%{R13z`#12pc$GoJyG)FlJi}|CFY8c~)(7&-Ig@NWaVkUZUm|X53Cm#-Uu* z3HYyCxH*DxDED~HaUiz3XCQhnm*Tb14~&wGh~Gt;zWrbMD>6It1y9lo`oB<{4SIBZ z_tXM@)*#Y;lZYb9nEb0nFIDli8~o z7R?Fn(k_r_K~aCk)je?6O~RZS{=Z%DqG@j26!Q55R1 zFoza66X}e8Dw;J>q|LZhwJ`57m8W1MFpdfimi>O1GaLMD}RwzYd zcFmKw<0%-v^a8oIfTbfio<3V&dx`FTSq+dDV!5oh;Cs}(`y%eF-Yk^gEyj6Iz?};g z8EDSxDuuadQQTI>k#Mw3kyN8 zY#$In>OqYiI{6FypPJz~I$i5KU3-kX4_o)dLGv%nkJTBh4LS%9dJmO1hEcY9?3WK4 z4hnjlsr2wxji$pgZJxn_y@~!co=(?D%z5f0+cY|SrtjVafppMsv-oJqk#K2?G>Sxm zr(5@TVUj8p0_^4If^FnC^A(_E$C+3K#&Pm?*YH(qF1Jfe2vW7Y=2SQ?e%?ibtD&Vt zeYGNUj3C+LEx`*Cpl+eIm|9?}j%V1C6Ru3BY7WO-frOgH>G|}Z4^C@x$2aF%4q`POuy?6g4&|*;7^Y&;|qZOT|?hTJz z2U_0_F|YN&hdW`UWjQGbb#7+thYyIMgTD{V%UWAoPft(((ORuvFyei)6YLnO@TZYSnw^AM2XRiU4W6U`mqCYv{jnE&EEmzBWfnMENSJ&7g!el6`_; ze%Mz({8RGV-niboWKwzidwW|J=T6-z@f0mAvYaN4J82ZZcJWPAk|?Te-1K%*q-+pm zLTU?WNJM`j{~?lJ_{P_v%1A6y`jUv?6#@^lhi5D5EpI>kW~7^${+thEHg$G&`K-Pr z_d`?pESK!vyP_Rm+!ZM>SIBDEm5{P3zNK=WP8W@+{4SuP+!-7T0%=#=yzi_V_3UMp|H!> zz@w!4QkMt!L{{#Nv10b0$EN&6fiZuFF{BUSa z?=wz4&Z`!+rNFCmqK!hrdil&QIRm6zP*!uv#u|g$;;$ZDutUOuSwXUmdk?gCFbPm5?Tr!V4Jy{dy zN%P<-b^Y0!A#k`ImV!|JbFDluu@dvI*utN>6^(K17|Ut-Ek5-VXk=CJj(vK|MT=bJE6H3pBKEL>BX zGpq09@opPjEDTwb7b%XxoU0ku$XH5{$#LPcXXmsA3)=jAy}ar%n6Z5_dmG#eH?r_L zm12Gft}}DaL&zh~&p++FTn2Z!kTs zwG^NZ5~EQ94oMM*nHK1KMz_1HwMRYoA`H0m*M7cx%}nl=&%?KogvKto{bKP+EBK*X zHf}j5h1l8KGf?MtRO{rG4q3ZYrEG2JTx+XTY)yxRCc1A)BRW78YybIKAWX}cB$28n zFSQ|&mqE_g($aGB{^QXKi={?q3cN6TX3rt*HKLZLDdX)C6VMCW!39q7jdFV}ODU7N z=0c)Q+)V^m0-4>vofSkSkV>Yerm7vk!7~hH9x{G)QL)mdlMIn6?dhlYK^^j}n@P9-wVQ?@VCLAIg8F(C08C6}e1y!Qr6A(FSeen9 zgohmA`8Vyg^kCr~1pPj=_S%OOj03A16;-?&iUiDgdb$tC<6`HebS{fQm@J^}DgW#`et3P`$JQ z-%z(mvw@0BPkZaoRB)6nDH>9@sPMp^5Ij>7wQ5K^j6gR$L(QzXN80+=l}YvS&gWuE z2jOI=P1BzNs>8Ljx7yanV&|S@Ne>*um)T1ZzxdcR?f&W4;1qzYIXo^dKR(?gKNozo zG&|UkKvXxVbUVx5yFX2yOmz>i!iK~0(UULwvV?PcYOma;nGsRU*Ncg z9}H(jG9n}>^w>@1oQpO3 zRuO{Z>fGm3GB+eSPEhl^3oubKbE-NIl@>Gf>bYP;aM#_ovk z{%@TfKWGdLIb2+66dcu#{+_5aay@Yq5<_sFYy4)7 zI6FCc7=6r<%Kx|jwoT{TC{9p8&( z0i((pXj#`F!)BIz(s#8CAqZtRG1bqU;Csie^pwY+vy8*S~nrp5b9y@oHWCE?<$<7fU_dBj4!goc7l%T zgE*c`#<~MO(wC*6aQglKaZx|syDpuVfReiWxNAb~At!lF>Ni!Oq$R!_@N2*p1>dSYE9c9Q7$jRV!nK4({ISuVZG#6J&-+~(ip}!HfQrdF4 zep#?(XCNOUY{1$6^!SkK+8x_#0n=^38a`+F=V!z2G{c?#%X#w8DF&yAqTSZhH#=wYQ5(zpz21=-ZH=4`P)b+DO>t+lrKX0J-XB~XH zhO^^`RMDVcmn>c?9Kw8TH{c9FQ9o=rui?V%Z8f(|Q z?CUxo$Uzk#z-dQ~Yyd;s)9JILAl%-7R28tI`)Vp!@4Yz-R(8~gUdg#=NEzF@rT`{^ zfc~%`0JviYb8<;UG^50yMc@l>LUd`xAbA#XQX<4nNA6L>U^0FciEy z%8)38hi*=|-Hs+*&!|BUIg`;spbDss=zj1qS zwY=$0vfY(M(SUzD7ALYimCg8@V%I74SCf65Aia_scqXxrk^ zC9o=8<(NH6s|&h2D%8bA)mfMQbZ#U-ks68NL43$9ktSB85YsA&e)lUW+KM#y^3~KZ zt8{LO0uN8F2|Ph0ZmqimStoxJj^vR+d&Py@ zFO;(5ggiVKF2R2U6RD{=42jU!e5DKBZ@Gk|85H)ohM8p+siv8gpL_HYyR>C;XHblk z*}JPXRECxL8?G7Vh?Sg;mHFchQ+lsIKYhL{5@f(>3C_3y#=Q>&ATsL&mbd?g-?SfW zG`O2@2n!3tFoffk>=w>l0Ro=Tt%rARB^NJ&91QtIzbeAUm4XWSqlwganh?|C zXyD#n$D6>j#k!1$)aTPnIR6BW0`5{94#HgVy=?sBsZU)2eC(bB+7!+N>XiK zoPjbqZuL|4n~z~lrer~j@sbCF!K~jj996&EF%ei=_+XorZtK@pLo09je=}o z0LM+qR_COvo={Yexow|NLbUhec!!HhN^E1I*rT*xtgLN%gp~PG@?|`G)*POHnOROk zRPqJy60ph(%rjaSfMTE+7seWy!%B>xa5+D8t0>1ib5Pc)h!e%5z7;V!pc!=Iqj}BPaZXN<3iPK z`|o3`{S4pN^mqdFvHikdna!eW$z4h+^0i9bPQ+0(mhg3fGCMKjYAU19)P+|HZFi=r zQHk#t%9VF$@Qv%afH|PH{n5)-XY8)f@O`ct?;>RLiC=of{jg7*32VM-c^qj)=_Au; zcc7~&UqY`KMzg9Bu%pl$4J#$Rt^-fgIMY@?YU>Y+@$2hqb_7S#U4c8z)&=l_zotYcg(u{m7%|c=7!|^zEtrXo-6Pqlnjsa zR;7DFb5t{_%|_E$u9xRF*EE@`W+#dqLgFQy#QuUQeY8a(`iE*?hV0Wn4uP;{_tDEs z3pO3XnxO(b(d`_E!Q~frwuG=BTaEUqr+6bn+X%}p0UKhVIWOU;U2Q1GJY2`@3C>Xs zx+T`s>;JCTp~=BMUbS9CnQGTW|cFCuV(U42sS}?1k(cJPVntvv0{f0?FH@cO7aEl#lZ_MF4rk{UV z4u*|67)*iv+Fhjn?ERRsBbG`eoARGOD=U9iet{9y6J}KjlG{R8qNI;>N28LY)u&|^ z8qAyf`~|bHOR!l5v-%!4Fgdeud_x%O@+Gty$^3fs>H(&izs8nnAkOj_*;GV-Oy6%FnX9?G;^ zd@Vpr8FVYPq@Msy-oPzo)Op18ehuk~jgVQ1r$dKDR1yQH$>2TWMV#vdMV>2#5>ua6 zuiZy7{y|49C0A>oBqe4|v@zBu?0%HW$_F5T%y3!L97P9gMv;6y%F!FFy-hB^)5Y;h zbB&a37o?~Kwc!Jq4AR8gxyy~t%f80tw0f(eLcwq*xg9b+jzdRLwpJpE2V_Am&6}U7 zwAPt9=abpZ?EL_xeuD(meSf?jUdSlm3!GsLgEIJfNG@fFn0Ph6U*;k?|b%sXwI>)l-{GBqrP>FB&f3#gd)m-Y=w^_dt))!Vzhm@C>D=3`FB2pz2T(octvOuL^NF;`p&~!B3E`9kiGAcX~ zhJiu}j<^4Q)|2=#dk=YImwo#^C-bNVVLY!LmF^&nu}DN;9G2=)e}1CGaFT7`U@90c zfTh4I4&{6?3;aMsj96#`BDkyCi2*e#Rs@r)n~gZRGlN=lM6M=d^T%1IqJbOn^#uHX zs=w>=+)7$Y=hZF93(`=_rTEOJ1NeKL6JvJl$MdZu(EXb1vT8&+E4|=)p$2D;J*>ue z8BvbBq-UNgaRJX%*K)9VNU%m#OlSBg^I_uY0Gf#Hllx>M7gc;`gDqcL&{qg{?k9!6n3jPk1DR^Cu?u7}Yn8xr zUBdTigR4#MGd{xeqn_ioLt-Q_6rU8QLn6&a|7RePVROQzSVrWCt6XX##aeL|f0(@@?OKz(jSDk*X=~ z?x~2k7EB1UFwM^2+aPU|45^g>kI%+NVl%VNgevE4UsLrPTB1d2`@c6BXQqvK^NW5} z)2yDwiBWLHf2Br{>_pXbXYiy+#%^OlZ~?qXMui$kXn_nyoT(m#(#bG+AH7qtFLSV0u$hx*{Nn}Lv z-SzMEs$*z_vi9F&>d=N9a`g#UbV5@@?zAvzqGp`OSe3n;jHKnU;`kI%2&Zzl9Xi-n zDM!l)tDdXR7Bcj3m$9NIly`6{V?AR{{9WTW0!2&XE7y;0bcpZQn-mz=Ju2hMr--P; zDAYX}9!sZT^k-j zEkSw*4|y6!(!!p<^$^)M z|2-FMtzAKKKzZw)zIbi!{5He26peLNG8Cbnx-`8uwE)(DI^9z^g%DwGa)&lEIZZiU zL{(pWL}g5jQ=t?Py00wes=dy3NS`wbdv>`= z0M+TF4gI4%tTx0GNUiw>Sx-h%+udh17C|uvQM+8W&wk(Mf&tainzZef4SI_ishV6}8qE!CFsG-=>wijJhzmeMrqy zPk(*mLf<}9XZs%#0o6_vw@~w6B?>$_IXP%$t&fjE72D#yX+0>GB5?mHAXdX|=Mg;+ zbGgDrVw{Xq7~`U^a2zFI{iWU70vPN32gqCe%J;6RsR^VHLx6A{0QYp+w%c|n^+LVN zWHhEbj>4GCe;PG4ZswMjXT;4<`0bYnZ~oUj=1+HNGQECcuzcn-x+ASZgy%b5Q<2hQ zg_S6b)ss=ZpMsO4qkU}>=5x6iX#X_Ty6vR|vS4Wx+T(RRyqqUB(-r~vb?K#+r9!c2 zU54MQbs2B5$`SC4{;Ox1k;V7;>0iIi!Nl4a*S)a&OgJF>gg1Z9p8}6eBY!cfTh0r!TW?XOpETO9FiE=xj`3a|(ZTy4LFBzi&Wi}xKGA+uQdm*&^oaMK4 z@z}YpmE>9p@)zaKh+D(9YPM-VlG9X#Q5ifqNwy&giPs=+VaI@u9 zue~D$J=WXAfygmq#1pfWacyA3bMWSenK6(|{-imY^4>mF)36FrH=56NFzJjfAw&}? z6<^n{13!r#8oapUfkfqY)0Ov{1{EgxJdw#*drW}?pY&h2arYQ_yUn>N7XJKe-H?ur z_Om4%_*p3|hvAWyoE8(^Y(=E1Ka2zM;5a)b=1`6O+3e%) z;^K0sj~GKu?|ZF{xz0Qz_%qyOPw-Wb>fH0p_#?XjT`humy9tqiX^qC~GHu>US9UP~ z9p4N%c9i(R-pzSoL50GW@Ah>(cX0|OwQMMQJd!fVMO)cBJv=~RyfT*E@6ffljkxua z$wa&M4W_s>f+bX$fd-m&_A6DX`3KCg^XCo}S-H<1n>*Z0&ciCBIgOLY-|uf}2$8$Z z@H*7~B_oj5(}gD#7W$^rHb)r>WP4oyRHiYBEHOswXeO-i=nqn}n${-QAL1dD=8Mi( zQs4b{`XXv%@7AzbN3EECzh}VmLk=yKhbZVt#(~QSINO%?)9Q+fiY+#>AhE1I!$@H}*L8c9}vkUN+RKbMj$?lZQ9dC^I$~WSS(}V_u+Ssm+m|@ z{qvz@gh3tgEXEOo;lrS9LL#r6S|mP6yiJie7(o-sMbq<{OmlGU_n$knToicSaVB!| z+3Z^FA_4^kbPtklX6@3JnfRAsFwGSAw5j!UO)d)TxyG$$u=**&@w4_8Gt+)&V5C}Q|_aF0|1b+MDUmstrDx{(^Q+){c0tOJU(m9lCG_r)|aC=4?W}+DaMux<~Xl= zv&gJY`%gbyb&4u$$i4T{giN+WI6FQ4JR(uY`L6bmj$AGVBl5tBgK&VJFsEy0F3*%Z z()zy%aeY0$PvdxL56 zRtjphAC2yY@wGhAfJb~jg0@F@S9U|)rcoeXM%w_Jd0y~j#OBj0mo42 zloAFT{|4_WkU~`AQ0py%XBZT-ZDw-j--2i!^);~ANr@md#)i}HftE|Xn2f@5YIBMm zr6ZqJG4wH%wGwbU5}bCaRx^sZ(ueO%YRP@DynL%z0CYTxlr>CBQe178CM-PFniu-C zvd2?-A{$K09a`=b6&O9}2?xY!u$sRpE=H^4cWB_LovGGkexE_HFuEdh4I zkUV0>K}wU|?~h_!tc-7jutISFHe&E+dU+^=TBY>|Ssx;8hQ2#6 zxg3LGLOykrjZWB^goFpjs-NOss)}GB9KeGgN`|c)o|G%kKygdE=+dA6wgvA2i%rY&Z2cw!6=hCPtx1L5(cV*A#V$q{;UK z{MlisC~<>A@y7-8-sCddkK64!8or5k<9ntugY2`?4#by!EQXpMT+@B^cu4g3XGLto z0kLVaoz^h5mOc#re1t{HSC*?TL0ztGu9T4Mo2iKy188yk&a2xaRw& zyQpS|^%OO{r9ly`ru5-4vC>wre{+U2gHqbmG?*fWONWtsHq`pVdPwbi_fY2_5QTi` zFy}5)dpI0b)gp?mPOa1a@`N)1hzO_i>fO&z$P&%0=DXq{xlHvO>(z#BP?c03MXX*Y z#Bl5XT46`21|fo#UvBuA{}xR6un*wMOXDWZv1fKBNmtD|+4x#`p$HBN+Yep1p{2b#cY&469rrJM$su*u;q-QWQxqJ3^jFhh&`5j@D^>~?&)ZAh`_!09w8{%U zVlT{Jq-0$LY`$^U=VRpw_p<4-CLWd)!)C&#P$Fd0e|_no)#U||MY3I3jpW3GU6CtU z$(@DnzWu?e3U>GQskL?VlW015veR>lFm=$voa}W3G_ksmzkQquEi5T&O-plF2@`cpax-s?NPmvJ$QWiobLwL@BDcT{A-j3i&muAQk(kOi zLanTZ)E7D0DDY4$N-s%g-aAvKgDld~7Oec6Y$otzkZgo#L=KNb!yAJRhc(-y4G_k$cz%}8Z&#JCW&wPUNMR%&8T4G$Ot)P;_;Jm0VFvV z_0E&iAbr5;4K}wwTgP|PC0x5(zP*mYT=n>_2v;_!hejXtzM&6#1oOSvIT*jgShZRd zC*nQZDO8AImf3^e(EAuSUO(Q#BAx($SYlr59eq){o|5gjMkxs&+2fU8M}g_N4Xlwf zc9U4n!Ku%QVMpq9F*p!PfQTxy=1N;fzDYV5Dq7a3+v;Tfv$Dus+8VjnFa7iXqw2lm zx!nJ_@sB-2_6{LiMmA;UV`XpI$|{>Ok`+Sss+5_%vS$&JmAzN?N+J~1?{#&)_wRn( z=a0_gagHw6^`5Ws9Mu|qb!Da@Y9?4zw0wnRQH7ZWaDh4YUo0==kjJrQgF(VvUm*=x zJPBMFt9;BAz5O%J-sG0dp9ZdI7jr!WO&v;(Ia|I9UJX$ZK*?Gz(<2;j@{ZuYj!0-d zAKG#$aay3+KY@;m|L>+B=WGX!FHn%Uh*jz+4^PEtb^W46p)~b;_c2jdH7U$QYN(k` z^!yqg-FaMR1;l90^@L=Ir7eo_DySp+DBi63k}(_N&T%y-=T zQ>m=rG<*m!E8&^_B=z;*AKp$vV3HUdn**V*0`+_I-FH>4h1BVvgP@uisX^$`rd=42 zOvIBNM~>#zYT&ELx`<(QftYw(SmN$QW}ke*w0Zq(>#ud6j+v+w@SULUyUU%AG3QR6 zprLPn=RS9TWvL#ezVSh_s=iKPPGKQ<2qv;rrM{9)c?PYp**YpGu64xW&}YG$QQ3gM zFT{z2s`Kh1UBFBEBFn@)o?>#%g^m@jKP9axwgyBZ9^Mu=d-G~HC3;t1hmwF7P_E^J zwUmEwVd$|QZH>Cl1|4+K(D0jLqkx;ldH*6Q3J?dsAw|PQAu?uwtC;GAq682=-aY*?YW+xY*oeQ(%A~C}{l}}|_dLWpjaeSuMs=-Ix zphT9(aZ%|a=5^ZxGcx{JLoQ7nVFFvKz18Qjwb-4M`m`?mgU$?^eXC_-pJI0Vqlg%LET86?29YU-F zB;N+KpYu7;_j3T+!fS=u81A$Q1xn?`L)nVA=A3z}!suE&Zca7!YLg5j8-V8y33IaJI>V%(dMFCTb4-3 zv@tQXSo0%0C<7jr;sJZ2UZKK+!E6O87m;8V)!ax){opRtLNfk zVA)CkTup*Ccxrvy8mc$q^IoG!O##rb^Uc1#-rkx}c0hO|!uD#@BBT(sA!P*s5BvtC zCYY?%nG1+N_`V9@jKGv3rDAdj_3uv;qh1zeeiZh$NFz)1vh|4~o2}!{FHg&|W5Z`d z!N7U#8V63@EKN)BxU9F`9A|GM2pOU&xejF@X^6{g`yHD8@Rx=3z`}CukXXA zYOa~QJ1b@xX8RQcyMM5TU43pf(pMr8!lJF59gS&_NrZA+lOT`oOJ0#$oBa{mZu}g> zu!xBxIJ_sCyqFiAmjtWO@f$ObcB>3-1KQp#FlOM1bbYFa%a~pqM)0TM*9G6OQexfo zq1uqb&YiT!$=n|aH@LD<9%?d*e*7cT?f1U6@*-N#92P3Jrn zn0el;gaQ{K6s>+wW+~C*NwfTYpdyDg36h+Mh4GmcYpZEaR=JIW=Gp{%jPY*G@qWTS zg#{<~JDTO6^scskKkMvG@4RqV`BeXeMb-JD$ibWXZMsC(6x$)sTv?T;KMi(2*6A+B zim%?goPa-Tl{Z(ZKvkUVMO9M_rN{jb8a(4gM~t&N;W4geajugi`aBdQ*=(OuQfq8K zc~SbPUcMk1^_%Ofun=*whG`5*ibniI&gbz9WG;(M`L+fWw|llZU!)FRXPu+upkSR@ zB@DPEoUFlq5!J#M0@Zt-=pq`>nwBAb+5+oWGLzLtsPlM#Q`iyL@28Iu&FfbT^6|ft zLmG9xGIlRpx3CtyVHDBqs>)S;QTXDyBagQa17vZJZKiShN_m7+a(}rN7dqAK)9#7o zltQCVPR~*jx1dNVlp#%b_jB|eIHWI)KZ)@u<6!pn_8o$vg-Q!6coskj*o!H&(G)%* ze&Y4#aV!*5Nv3KT3O_!ef@q=dgC^&AJx~7v1}dmKN3Sl2RMDURdJv}3y2_@}C0TjPnS^7vH7g14Nq0nT@zgP8Rm?b|6iT2N_tm)l zv9{{+9^PFIGsl@!Ec_7B>xt~Zty6Y1N;z%Yml(8S;$Yl74L0IkjgRUnE;#z}LtG8= z69WUL9%0_OAk`#rgh-^* zSRBcpk|&Cm>CHd5O2>8jGEBEK&X!*;K^bGMIZy=)cSf^ZB~UIn`mo}l`ARPE(xOpM zh#EmiGJspz(a?%A(vNRY*QD{rkCq)(mM`a&1f$0^^sON#`=24^)+V3sV$8|HtW7jZf=Cc`es++CP{{)34_ z9hx(4cz#hgjK3$1)TMC&U4*Xw(H*>uWDuJAa1Z5=^va{Zv5J<&X~!qr(Gkcv5xQ^* z+T$r!dm1mo%#T6A5wW-LY#4lsD1{MmoHbCjqsk1^vUQWUNWe z8b?C#bK%Sfth>}ZysX)Gqz*7lV_c0IExR|rYnXFV`{Y0w+L1ewZ?<5$0bu3^I4#5zZ!v{Km+`Nb*a)Z+GlFIFdvyIEAnAn;8_^ z+SY)Ok}B_eb52;?ZLhSlX+!dc%#Rc$8H(6Y z?_KrNF8T0p?*4@NpoLw`MR>ueWY@B|_)~Ju>yR17=V|U|&#co`r>(8&ucS4&)l~4!X2<8F+t>L)@=Q32& zY|?kr10Bt%UumXH>;3xmYlUX{sbSr4>D4FTE@~gH`-%FkF-~L+VX|&d6+JDYD_3yg z=mhkIB}gpgSTsrCZaMpWTns&Nz$yM#3Vr^iRfGItl<v6qI_w_?+>og{V0 ze;0awf8AJQe{w=f{P4TgNlgw{vaYgDkwQjNW)z>kj-5$24=!YK5zj0)l3LF!pGnB-y8<6&$<$M!m$L?iRqw1;R8+CepS?Q^FFyvtdH+r!hd1uV7 zv3f{UHlf$|)O02I{E8YiGIPZwJ=1#s;4xl3%WDj{=k!EGm$&q!3L?~ELY^OUqdKjm z`Pq+5vr8v#>WqCZ3>npf{sGfhn*JI44nR^##1LUV^{J{-r9+kri_TRer*Iqm5n+5x z)-bZfzKs$YdhEEJ@5;{UCsa;6hCf;a4RIv2V_roGnu7l?A@3Q{Wbtxz$`)^O4jKo2 zq4=}SMVUnq9`S9Rx#@SFdwUE}zw{oO?2dr4n28lL)Qr?HpX2~2d@g%xeV_Q}QO^u~ zI`NAH_Z9n%g)wL!-rIhVMa9h(H{g~0Sz}M4ZYS)Kz5S?OCtrQC;ma&t!!L@RiI?c* zKfi$+Qu~_@+khNfO66@%ZqgOu{4Cp9pUVShFbS$7A0B4B)+CcZhSLhv+Sg<#c`mI! zu&i^HtXq+Q1r@gvW|(4X5R7WFPPK5-W}q@L)KBT<7PkLedA(!%hDM1BJ;0TGtV|4Z z*(o&jEsOmie&R3{`SeUg|9lQS?xCHpYqMJ*MBjbxXamMnfqoFWJqBzF;(`AcTcU>utNUmtP_LZ%f_o|uF@@p@%*+-Jw7f^CKr=ybsoRh8P`rQ zWa8IX?|M|-FI{Y9bxqjZj{a+lNoq=kX@Ap3p-j5EIK78FI}S4ZNp<>~YU>AKhdvz0 z%^q}i;^Lf?@8FiP%aFsxQw*VLii9Z&0Y8|8laij<{E#a>eG^xpyZEMKJ0?9$!A^2r zn}F0#jeu1`Q8`{r#U;^70F4b7{5cDmUXljawI4YfO;JAd(D9U~C$cn~-UMXLSmC7- zRHzfO#eM{litf1s>0wZy5HaY^KWHth?nrvWU0?&Q%GJ^$5}Q~VNtlEA2x z<5je)w3hcP!b*jA?+sI`nSYS8?v7_DhT}aFdPVqr*qZlq-4p-3(rz?oHQ(DklK%xa zJ_Q5%6gr7hhEJ1P`aXCwiq~2RWJ|*5-20m)JA6dxly>fyMT0Xk@o%);O;pR zZ%DHd945eq&h(YoeC*KiiqPBQE$vM4fUPyKKfH}f>dD|N0S zCS7p^Jl?;GZgeTd=}Z&qr)Fd>e35(of3N`Lye+$!Z%pMe&v9?oCz!IC?6BgKv(mGg?$J3d zot3U$`IJ+;S9#vEZkW=*Ww2n7Z(4oFe(#oJz0izXOhK`=0a>cYWz}DiIVebOg5H0l zxvqI32p|*Pnw8U;bJcu^3)16FELREjgKC|)>F>Bk5+mPuk8!qpVA^7X$>=aI&9+}w zHG5Bl;k?pV&U8_QPpOV7i0qXH$uuD)kK(%y2cG3G`f*`YVi_wvg{7jbq8Lzg5!Gba z^sP)o6G5Eve{&ekqwpE@HP&huv)hD7{qAti%g1g?>HW#uWVq0+p6|Zg5q885;nIcN zT=$K7rlqi6+Aeoh!K1hxsRM-{pDy%#N;fSmD*fR6=+yk$QMsExU-dqh{OP0}LCqhL z1RsDTf1DBgXjYu}fB~WX%+DW)Kx*T1Fc2Zp6IXqC_b&H6={UWTKuY4yR6HmqtCSpQ z%dL|Ml)b)#Gwtc)Vmd@ZLi$107^4sX`dpYCUdVQux$)@I=-RgWL)D~U zWFXMI9PTqJ*I2`*s88Eo75)uv)PUB8xmrrtZ4QzW&A~dyt0+~Mc2bU{u!|h%1a@VE z9hsgJnI7*IdpVcpg!|H|t`Z#!JiIPL2?Hu1J8;c=do1wbeI{Za4*VouU`>7~*i;x& zBeGX>UT4I-LDrygJx)dJ_VUMMs!8viH%yo)VuRI>_aeBttXr(}%H!p`WopV;INZ!G zY%wAy95ds{3Ay|~-D2+sfC-!#ITdwirDZ(JuD-%$jOzNtYvfu@K5b~nd_>QbMtG-E z+W|>et~EO~^o22PHZ6>fj=tl)On^kE+%->}6xjG@yj{@6OpA^8KQuken;2w2ixsnC z0_6z{&Vd_TC0yQA(sj$UgEw6#!F)=9fPeRV2{%~Vcc`jLj}3cER7nRLUwDE?>8r5g zuLN^4eAc{sW2}`mop-rbggpY1-@49vGYyr|`F+$fX!T9*lUr$Xs7%lCd=-C^*KOIzUIlulg5h8j(Kc zSh~~N$q@}0Y5-0U4@az!-6FyqI?O>Ach)h@pQa7>2E2R-O|A$9vaWY0nIG)G*w2Kw zJ%)zqjM(_2%>6SLQCoG7A#c|n=DbVNB+@4LuaS(q@@fw>cBC${n}$*-6qk1sur{#V zB+GMT4XaFW>-xSH%1nl>@P*--et~d8Bwt^chit~TcZ_4uQZ9;OAp_H9Tp=NQ4%6Hw z4O4gZaNz(BGrmd8{c^!RRE; zd^c(Qk@CopCHp-Z$}ZxE8KPKlH%1E|g^1ys4?Ru&axdW8Z8a?060gZJ!E$2WZ17KE zSFn+O=JolDc`Ct`5hJ$^s27hdIhXLv#%aH8XsC;3jP=on%rP&o!i|c~;vu+2KjG!| z{@sIG@@J+of-X=N*}5>}mD|Kp0q!`s&pbv8wAuh_Hg%x>$X}i^f66>Ae&ij^Ou}qu z{!OYbQSaHhP?o!6v&*fX+QN=huztAgY>XI-b;#I92#5YlZJ#5%`A5!b5wDi zd8+x6-rGL|fCbuyN1dUx_aXoU2q;MDuQ`d9%pcDINy*jona6b9<=v=g;uNfxEFXpF zOl&?8mVD!!tD)KE7On2Kpajpb%-y$?8RH%uE8G2&HAZ}_6mXxVx>g6cno@uYg>J;z}WBC?v-8AUt z7sA;`M>67+7HYpfk@Z?#opZaYGWV{-Xo;K^+7_~)H}>TBJrJtYhCQlH``z)t^`=}V zWDv@GFP)1%YP-G`d9r7T;b5Jeyw6WwH%&{(Gn_V@n@$e>sTbDk&6r`e!uMQ+d)}5_ zxs}zQ^#$m`#hp3{Cxzw_M7?}#*W?OP*r|`7PzJs1;JWF^m6TpE%+(wAQFzvU#JiQ1 zMkx^&QYuAmuOFzIET;~tQ#%VzcBj8tIeqMhGj`xr@QxI7k>;vD*oE5NBFnrXd@-yr z4LvbXC58X*xXZIH@N~=w(SyE=*+m-jG;5=wd?U5) z()4w6OM)lO%Rh~*p7HUaFg+<$I2IDw4{Y0JKdzA3?@EBHWv)+WisNWO6&73HTP=x; zz;fBRZ6{V{DI?;rSvx=t{I?GU!poUa)@Ks~W%*DtBMG>!)2l?Lq+=KKw8oq>2OnjB&1CDc$}#=W zA-(_{3-ZTdZtSEXxDJ259>^*QP+a;QGJsAd7Aw7i_jrh>S)H1?#}hL0^ShnHPbU?+ zg*l`uZ*hmPXohg1quJkoQ^|gJVlm{Y7!@vQB-3{IQT)<$HW(}=7;k%7KQ@hu3{wsJ zFixpUviOpnkM3eCAO1)ccsc9wkls>W|3g(kebY8mPpY@iKIgH(pZRMljpW4&c)!jV z1TwUX(b3zG%oxhkA#f8lUSUd4x0&}^&ys>UL7r}0ibLF7#$4MAwhX4+Kk0oFJoVEY; z?+^!U?Fb56Cs|pC`M4>R$~P_GL0lg{@9nPj+>OSp9h~=M^45yF*JyOu{sE!#)2G-j z7~aND=oA^gw0T!PJ}$TJQ9h46nO|tws=U4MZhYDxZ4*f^d&!}pP~Et3FT42X#SO&J zt0U zm(N)W$3Ok)$0D8@x0~u*^-6mLUu>RIQdqM?{RQnc{gg#jk99Zd^3NY@eMf)fdfe&n z&Ad+Nw!Nk=tW#Tw)pC1GN7yk4bRWDXK>H3@@`y`KYilcXbO0T&;95UFF*+)8&I>rU zp9p^t1T0&C{VrtN%?R=bh_XLuE~U)LioclHb_T4xbX*yilR^a>`ooEgc$t+zs@$ta zyN=MttHU^sI)4z6e-NP!0+BJ|PLMv>UQ4t514?b~&kCLq(FnAF;1tppwW*Q-h$|qT z_SG$ak*mzHbY`<>_%YkrjdfZH|wFj(t{KesY)XsYL)y6k54ZsZb>YMwKkh3 z1;bxMhiID+ghbG|48y^Xi|0vKkY5yCzH?b6?(R}b0{e~Lyxa#s2vsvuwVMfJaZiJoWeY|49Wxq-7vVf;e`akG+vg84J8}BfA6-bE>Tj zN1vj+zBw)_&yGzJ)&J?GLO0u^aF@$W90@1FX#NCZdHQZdjS;~4nG8vYGNWbSkMXB8 zf^E>yZE9+YIQN;YyZ$}lnG7g*o%bW8PtY)104+Dr%(hgCdB@EpjLp%=CjI253?pBO z|Bd*-J0Ov~@zQqz9{H(luE~1`Ax0wH%|B=RuVA*_%0G)CgEyi=ri9K(R64mUoptl_ z!>pbdK4v0ZA}Sg|>T(L%Dz$sG`lF_%7PP=-4`Ih%WCT0as>CSvaQTo6q)?!p!f4~T z;cvT94MbCr-E#)XLIjBd$nSPI1Mw~exP4#kMZmK_>ow$~e$vtrO~s4oK7v99G!1`3 zTM)o0JMfkdfmM6f20ZOYe_*9(EnA4jEBFo-4%;HlfolId_a}Vynb`VDyCR?4;rVg@ z+C{U`RFh{*j(};2rPMyXJpD&R8C5V~nJ8-`5ahW6pvOL0YI4|l>5sO-xbjnK3->On z&c+UeMhh4v1?u^nL7fDo9k#!I#SI1#KDYJ$3=mA5 z0joKr=?%p0>_1d(NBM$)oaoPzJp)Md$2AYsRlo?raDB^5(n4VVAvi=|!Ld$s0lmWI zb%GLYo(vNo^Z;o^KO@pfCWpAyws$)rSc^|$$iHFSNMuLwh~UU>N;K(R(Ryr(I{kQ4 zuG;E7rq6ez*}gfPE7-J|gD7es_?nIW4809PfM<6M1s#i^{J=qCNcP0s=X*47Ij!u& zBgu^yhX^(a2pG_JCTJ(ktBvZVnnrW7@hqzL9Re)p^wr<ItX>9j zOu3({KQO$}0)O_h$ zEhB`_1YRIO0zLmAfUcmH5W}-kby~eQTFAb~SOU7d{cqlu9}{M zjVR(bt3%z$7z;!+WrI$aug0+czIpxEMO1%=$P>YCTCi|B1_Lp_ALB;%7u#Cji^tY5 z2{p3mwZG=VJcfbJK=hJP-$0c%9sumnzXyq26ynbSvb_2mv$Niyc7Q+Pfk?NIhbN2m z&|BUr<)Q@lLno^t3kAp|f)mkCVa<@(1M8s9l_*5}c$f%<(24+%i7;p2{QyB$H$eqb z={hLd>p|xrSE_sb86ff7lWL-pnqRLa;9JkjF^bCzDY9kzEph(jVbmc$OFIn$kcsVC z;8Y*BBL}tMZDJItw%C?bNFWcdZ~MW2947To_5T}CLu$Tf18SgFzCNl(GLg$9wTw$t zF^xc}PMLUJ!8F;Xs=;eZ7bOAKhkeXafRf?PuX9C=5P`IfF5|5^fUhIVtNnLoMJur* zS{-6CfEX^!xp5t;4YNL2(mamE>k`m8<;MVFSFrL)!$NLg9_54#kvr9)!0B%tq)O#C z!$tKldJ-?%-@5`4bZ)n3#bg+V80VgFl`F$YqDGi*=K`PjjM@VIoU@`Sp;+GGFywEI z;4M+&v(W@n$W_$uLB!D9<|MM_dVpMfS!bwsJ}@pFb#6cU?QPg^ESU!!yjz)~1XBM0 z=0)M(yl_nXX+4-VH0N}5!#jO}i;B1>`nd(TJeMsvVgEWUjcZ#;5i7B`h$cpr`u$a?&dZIS>65l zxv<+53XwY!ML-$+Y9P@sj)js3DlPZfLKl8D%^2MXz&B8+Z!#72^}g^RgZ7uP8>p)e z{pkoK1neCifkA`pkpGbXf(R%gfI4l7g@r}by!411zUB%Ialj>r?39;B_e~Xlf%?bv zGIHa@8)6{m6<5ppwTo%!F^AsjQrth_23EfRaz1DY1i&3lR|H~2vm(%(mrmc|(R&va zJS_9Ex3WSx1^D$<&&|&RMPhPs(Q<A(Fnwtw;g$+1%wWANPqc_c-UBrd|#-RPK2cE{1>xoubrr6Hu&L zX=K3%$&~vbGE6T(Ctw1{ULpq~XN!nF!!IZ~IEk&H31BA`-cy6Tf8(q$0OWTVhH&I* zB|Yrca{tqtVo_E97iUm@6?Ufp{G{+Tq)FN5WYMb+?@QXosLub=br!X zo1n#pIzQjIZV6hXupi36@xjx|YH9z`-?J2>+XN^?+`;5cwUkDNM8WPO|8ucK0Ibi4 z5m@AtMttx&wr$lIneui@Jl@ZV6rjlCnC@YP*^(yF zjR2iMA=*K`O^WL=)8ED0t#G7r|HKig&3Lb8{wL_o@-500ncuy@>;sV2NX12g$6bb-rr2!w^ zU$nK!A*V&aOWsNwT^&l`%vdkn_JFmD$UZCSAn_pF5Hm1u(HqhR)ejY0^&hWiBZ!UJ zdX@Pl99kh^+lnY9JD(+~I=;TB7HGrfjs9t+>`y7{V;`3g#&)Fij_^tiCiZ^fb&tdk zyp#~}+CxDkRst~*2l!1uUugs-pLQ@D8EeE-f9>yks5+~?t(H;-jyX_LpzRN@VRw-s z4Y4};IuA@V%W0U(TMwgy-kpXXA6Nixo8>d3o)_atf>?w)C)#D{bE4hI=i8j7&=q~x z$A(6Z&2aC)jaQ@Y0LJSg*{Z&R@K^;;&IOH)9=v&Q!0c%SaRM-@|8|9vd^<49PVW_dr3j(}cgx;WVF ziE02P>`yZ|w=#s+APB+TWs4xj%9i|a|5zlZQ(`2i@_=!hWD7KDpuqlbxl!swy8rg**@ae?9ZhsyH^ zg%g(X)t43qYRbBy(7#3d1YaS~8}Cyh!=Wb2aD73f!5H`A(I_2=L(EFAgc5F{_Q%>TqXe>Dc=sxd(n15jMppkAdqLY8quIHfI7 z$v8N`HndTn3fP7qKu=;n_(HN8h|?!iw$D;zj{w4p^=_<4?`AB$!3H5nt(>8(K%OLp zv=!WEcC8?!iEW%;fBkvB^DNV4_PbBSZHnU}6e=#ssuPtukfNnzkmOP$zlt<@9r=y9 z5B{g{RsCctUJk^qq!#6%u1Y|`d1Icnb)egmo#0e8tE^Kov7@)_i3&v?&ery})Oxxt z3w`SfqTT*Kd9EvCjS6`GJ|>gm-^Wxwv=M)N8_?I4KAaAU7MwZkJkf+u9mGV$%zzIm zu~YgM1v)M`2X1cwp@;}3{bTrzw|7ABD+g*?a3lQ%+~@siMIeCiqBJsu?co5v(6(O+ zm5vyCPpfqT3lAw!J-|eXGo_(DKQw~Gr>e8ZjN_YFW?7JWYT7A3{Rvt=f)#DQc!;m% zJE+`8yKGZjmf2|+(jjdsTuKnf4k4en#>^Du5{s}r!3z*YZ zFdYZ}1#IKI)aOegSLaOyuC{ee>0RsOc;RG1Lr1*Dge3X$Xm5hORHBFi;F5<^`a1+>6{fCAWVR-w)jR z=XHuG2~9(643hP^y4xTa1^<1~^!EnlXt?KeR@lM5zVBNi)Xuua{=-RNE0Quv9U)#7 zfZJ;Q6+VLptWE?tu>SdKO2ulvFxYYgu_jK1O_orZ0}i7LfwW_bkn zS_>fXp;AGLEB|@REAsCCLM!Mj8AVqF0A?T5QK{K}eSRXh%IqTc96_lfYV;tfI!Th` zb>4mdy!(Rq+)@x4!otB)Hg(kCf(GuY(f)$7$WAcv-SI+Q0c`gwQ&yX&g<3F zr_acKe_ZZVV$V<3CFDMHAi+YRXkQ&D9w|N{nI`)UGC^hjWUNxC+yq_n1fgzPy@wyj z#pu1l06&=XG1DtWp=4Z2Nl9tX#~*OV_AjZEN!XJz)|vMGdLTXafsh`k=6gdjhy5^l zL$GcUpM;?-*_Cq%+g%{db=-QU4JlmqUDuTfW1u?9J2KV(X>XS!(eLe zEw%-|)Vc#>NMqqOj3m2_jg9U>=P(2RWeeLxoqkZ`RLV;x?5vzi zlFrDR-Am=omS z?OHkYi=5a(S>l?y@7mV7#-!wS8J9my^-B#$JX6WkuWhcABd4oE%2|#(&l&M z{LitXqQzrV@5&3e4#bcGvO2#8(W?~3zngC#m`U`0xFL+8*AEFZa>O1_FOq(_tYm3w zx~(#tE_nO4DSbe^J7+j0&PCve4>roCDwtm23=}&H^(4v0K~-|oT~WFYIgF9;U-?Lq zcWSGNXvQ>wj42aNr7>}hyP-9vWj=3afwh@-bHSzN2KfG1C49< znLfVOR8n$h6sNz*fNR7l&zVetE^Si{eV^%Tw-=ju#b{~@!{bFOk zMY`v^#acs+LZPh0+#$DlBHwOJ>oYU&P%^xiEQ!&U;+<}dc^(#eK^`UcA=Py@Dxbun z-EX@$EYazq=59PMo38uZUD3c6<*LPwo}W+MHi9jE(+Fs`QqE7`U%EG4r&%D`xMZ%% zEirU>EUJu$Ld9Ft96p?tE_G4#<`qY22=>VCpAHLtHU-fJTXZ6$tViCcqZxPC)b$z< z%Nj#N$1S37-TO9Mwlx!py}X7dy{pu$61Of(OwM%dB>zBtNn!6aJcx=c5{jAWYnd&tAo6qc;U&7I#)@J&m&=p9LrhfhOT zyjbib$e}ii-t2}d9(uCbydV&0*vw}sY*=kM&6IJa36b~0K)JBdZY0y%Zd100lg)EE zg|Wsox|s`I`9D|y)VDCAi*&YT^{%r`uCvA06ML^@l;_k4IqpYmk=CFYOmwT1on>jM z%gvm#Q#vG7LY|gNsCZ=c^5S&myS?c0Q@|fIIkt(R0G(mJ#j}dPHBBC`Qs?SF*_Y4_ z2^($cn#389Xk1nJq$TborT}00(r$#iwvU}y@jVVK@-L6=FmDjRcg98*>uVD3Jz3zO zSj+CLBBco%U$Flo=baF{x{;cqL}Ozovd^rU|GM;$Ogd3>R95r(K%ZN{uE^&>Qe!+Hk%GFA&RUGT749Fd zxJQD&SF>LUP;?tR-_ruJcW)S0FLtoU6mnbGFg20L{P0w}+attmKvA*xgj!(aM>eLd zKq`ahcuQyPPT0n!_MI@kzjaZ*hTDasALeLtQ${!g!^@&YO(x{LLVkBE)6i#>RE+H> z^74w=-r2g|RcK__l}IfLCiN4s17SN^_K6GH$Jc)xR$iP5k8{s@bNX=#Bb}VqR#(k* z(xs6vP900?O8L>l$R8j1(TOUa-RbYyvUF`EO&h1fMFjFHrJoj!8&eNXU!Rxi_IG1Q z&mlXM55_>{fvED~h<;uCILUZQuX8@j#UF(I%3Jw&?0HoM!fW|yY-w#7>3BbKsdBFE z#}KgY{_J~cub@=cI5FI*;<}_tYfW{VSPpb6lx`A@q^0 zfQ5A$y46R3x;s5yx77F8A28^3FN?XQs7!Z5wM>Le-Z^>MJj`OuEYy3@C>0xLPe&ji zu~C{HJ{zhLx>fYj?uC0dt!-(KTWR`d#Rv>5m8BOuQ3)DZ{>Rhc#^tl=Onb*r?CY%8 zY9K*C-KxEyS4CoJgLTveH54Z)L%iMFzY{UsqLoLrjdqV;pkszr7?LOzrD?Frz1DeP zO`Cj6broFqUI=%)7l}%O)=mgRM3w`pAdTktNRi?t-)X0>ad$n|8Y(BYN*@mi-0Pm& z9Z%0bxUEdbt7D399B(|=(e-dbBq7`>ghqE(KeX4w?D;^d_u6YUkH1vcrERTqtz))* zKJ5y#<}@1aY%Xsk8|qL>o(W!cgl+y>qt0bsi-74g+;==oh%=1+zBn#hwGi$_Zi{Ro zqxrWQVp_!wF1zd*0XZ7Q#dmFE`aXHiD?2CAo+S4k9v$7yKTM^)WDOj&bb}L?+*RLw%)z%4_sxap^ZVD_`jBOpFZ4$$3CeYch9rEi7Wm$Z>JkV->uO5S^i-v21pS(_#UnkpNih=n^82w#(~jTwud>q5BnwJQ zfa9*t-9%*nBSg#U>u}0hszmN+o|urz>}uW3P_)X7p&#LfVeFc&Y=qEG&sDP0ve#X! zFNI_TYq<+*T4;#}?<#GKr$3Dhx$07%mcu37{jD@DaHVE_edgu8l4;}HrgFITjcA-i z0@T`yJ_Vap<=>5g#zu#?2EUqB>F(yA(|KOJNFyxN6mqbid@XZKuFpOu8b(!E(3rQ;adr<+@-caPJvon*)6}_nJ+>UT&?AK*I>nAw=#EB0Uw^pF zi<2Lp8i=n`m6f;iTpfr+%6Nn^5FFZ#m65i-h6?j8&9$VkEfYT?lScplv68MtS^1eJ}%#}C-a(hy`C7gOU{AL zNuIHi?oh*LO&+H5%7~x6`#ji$(~4unxNi6FlzE|(b5!DobavLWn>KUI`9$VtxO{k|K)6UnX6=Wk#p%*Q0h+S{vG})@mQFqsis4^R(IE;W27fW zq@wcgP;y$$Yme7gI4wDhEY<_mh2yT}AC;zO(j0zYz;5H3iX8iUlQKUogiW#Q_`S_T z(h0SbZz9L9t1j3-dro%d%;uPDupD^Q?GQCq^2j`4)^SQn;*@PED=;l_J zM~p=nCc){XL+XzvxSfrU z{+>K)hnP4jGI90q*}~pdZj5=ah9%!5&7e^C`ue($Am6WM2X3q!rL%)1QbobUDCzO< zBOWFj*!ghdj&&F4t3~fh95-Bk@`@uz>rLx?=g)8rJ*F}n%fzT;o;aC#|6f*&7Mvn# z6NGvm+ggoj;n|{wn(9x?onvN8Yj$U9OOBk=nO-NO*uL#7oQIfzb1)>1jhOju9jF zuW@Fco`Y3^0ddT-9)H{XqdwAFOi*D0*$*xF)Wgggck5yn(L;@ePrEVHM3joPEym55_tZZeKkB^>6c*5eACB$|yC>leo0NPJ)t(+5Tt zvbQgwL{NRgXsqAOJR?Cwq~pnfM~30j3EgrECUsf247oUWli3NV>~^vg`dWT;+y7bN z5*5|W%NXIjf(q{1Q_nPgVvB*gVSk!x$0tj!P8~&+oF*#zwvF^y+5hBg?e*vEy$8)& zs?pb^x-Q!$b~Gl2sEWj$bgIPbs_?|wUJrE=wk_8xN+j55nRX%1ShEM~PyvV+zNt># z{h%|p=M~t{q)un7F7W8BN|hr%1sm> zrj#UwfW6OcW zE?I6+33qG1;``+{6c>jGk5Y8M8ZHy4@MU8^xClY7Am8F@NDAQ;mtmgCtIpXHD4&c} z;GwkXHi1MJtclvtF#2pyj-8w`lYDzF$v4BR4+#Sdoy%KWD7zBcmp@pA`rSXnv`Qsl z(4^{7(l6i7R(5!+v1@jE!%prJRg6fLk3idg0Wt)SHIb2Ec(QyC6NMUmw)gX!g_=Q4 zDFmd}wB)v{*0=5pFdX6BFONb_a%M--%;R@G5)=a17cXBI$9+l$&a`YJ3oY%8jPSov z8j|HS%mPp0ffE<*46a}Fg$O>~aJRIT&>>?AEC16Xoo!6G{0*h~dq2C)k5LQe|1Mq` zw$NZA`Jg5ZT3es$+IAC8^9BKmeQI7449xFr$O8yh7PB8gCBpcM0G_-PJbjdC#lYpe zv8@1`ZWVG|zC|-TWb_XV)Jj_@r1fIMRz|glU1)Cc2~gcpz+D|rFY)MQfB(S>9%d@h zqybNGp-sKU55Bml;H|DW$)ncZBnHn1o5I;HFVJsxWm~CZ8abIEsXXlxs6g9%DYVnc zto9FmcC7f6Y^(K6hX92JF)k|DG2DG&PbKWX5$vqv|MG7PpOzJ!Pm zC|rbi7d(2kF}Knc=QJTDb*kz%UzNP}O$us7^wyos$vXoa`NW~|EEyVC|2@wjuXhOB zk6Uk4Wp86)DIhH6STMs)MTtNknFUkx+y8sf$GPA+f+}DfEGaDTn6=SawKwbE+w%Uj zF#7!YtIIiS|NjfBlZDk)%=KWO&eaSLNlcknhohlhT9()Uy&q{#}NwR45RGqM?3Q@rH@b?{p)-)boMYd1~* znVVz0$dOz#yS7gq5{pdr{*;`Ytp?-GwJa0AHgU3xG>OF-_L$N%@YNoE91&gcG%?w$ z>zFWMSMJ|9F`?m=sGrf;E$Pd1Bvnh(F!fAFT^~mFr*y0fX28~hdE17$&V;>g7axUD zaPW*BJV(nol}7#?7xKc35;RK5EP^OxhK!QvuR8d4Ctqs+74iI*d7aSY+?;vyC`XJ) zhCcG8FRxNSQ(lA6f-{JNBDeN_duc!_0pm9el$F$DXoaDIb%9q0Unre&p|n=oHcRE4 zkTrybB}c2-#kTzC1An)n`4blZ%p3onRXNPk{jn372C~F+-wgJsldY#XcmZ=fFa@*-mOPS_F|9gqfl30>Wln&S?wzHC=uQH%#JP0 zP3!a+r9lZxt`K5BG9AX0_K;Z;r8Ui=C1HyO-W}n`P<=sZaJLly_aIK#4@*bz%u%)X zZztc{kz*^_)f^{>PF;}A|1whFwZ2h570Sia{*K;-OqKJsnAU^$0%z?_f_a3ygjwtb zN4H~-7OY~fpcTJGvs0*@Onya|U`psoL{5xZ8hXpH?$y`h1WHOLo zoYmfn^oxX#$gH}Qr_X)us%M6BtV&3!$!Tvoy>CER9_C6t`a2y((PLf8GHGahv~LKRe!m8 z`mbRm0dE9Vh)IWS_*KB-h&pS{E35Zvce7C1b9>Bxb4cZ!Z}V9Y#?1<=LHFw2Z!i`4 zSG${Zl$1=306{iGO~eqZ)vV6kozd`_!4jz%4Kb86;K0wW&VCR7meH|DL&wiHok~2a>dTuG*`I10rT3IQczdM@ zZm=tO49J2pU^Trs|$J+p03W(7@CfKCdLKyVxbM88<~Zx464Z z_&68tWMIF%r}T$C$zhZ^x!ehHWhMiw{*zU!(0@2WJ_Olw1yp7x-P2~BM zh8{!X`Y|{@er~Jk!j59kktt6O`rbv;_L*76?Jw3dnRC^x4ZIyJSW{F9&Ah4n8Ih#~ z!+N=Br~Z5%k#z-EVdT6gURlIIZs@FhT-eE|cgY<*=DnlK?-$Ou%Ye?=VeZ{kv0?8%-Y`{~CQ zu^G{?uzat+{KmsU!5zgV)II7iXNJ6A7K__hEbT1{2QP>ATh+y(%nc2h{DhyT@r$Tv>>76d&d90_sjcXFv!|>*V!^}uAgo~E{lDw3Z3=}qDH!Nj^ zeQN-(ydd283Ih(AvEJdVKWIdxf#`ZvoaDeQQ31^JW1;oqTPJjx7iAZ{em$P#tSzK)DZnebXpU3{a#>EBQ?-NcQ$09sG6+qdt8+by=9)TKs)mzY5FkeB!L zr4~OCXvLJs!R?QJ>UUX8b8OYg!dVm<*eJ;rG-<+ShyOlQlk+?M^t$lYU2}Qfu_36( znQc;(Cx-UjiYU=F7VuwuF$_}amrAGBNmYf5``bbWk*-;Vhtn5CeCmUs1~3TL5nUsP zECqK5o{o)3%||PWUd}|mPQSh$X*OCE(`4JYlz!b}MPTSH`8`h=qwlD6&rInX^)|H{ z`57QTLDZ*t6G(Iqo)my7#&b}@**Q?2r6Cb{Plf+>WXNl%IzT{lgTqA1D^DIoQy!Hz zs3Z0;#`7+9FAHu)4zWJs%ZzIwElkg?sc97mg{e?M~$?eJP|Iw@xO<%|F5qrXIriDeX%mx z%lZT|8*dw95#0HbgV0{+ZFLi#+nDL!K08nhFwLb&U`2r+DXg$j!krZqEBnO*Sp2uO zXHjayn}X*8wWp7@>+6&3DKZtxWcd}ll%|jeyYwQlJGYXIET<@*<;UfsG7s^3SJ>-HwICJ{MCP)mI`4>*oOYgjLlH@1gnqW0;{qcn!>nn`_ZhnHO<7xwsJc z_oy*b%UhW{MV+kj5dy?W92zzh#?Jne&4coS_jGJsL__%Q1rL%uHR4mwx!J7#`l#55 zc852TwR%JvRr$4nklxWcKK$wyNBBxN%H1}t^`fuOApvK)6C52YI~}(!7bSDe#Qe%@ z*~vauv8*y1RPe4NL%X{8Rh@R0lOhE+YB+5C6VvcT*Dn=o?hr$*c(dYRR?q*2kHR@u z6$_sshd*B<*G`xPIo!d@2SxD|9KMHwj`=T!p#qr7#9uJJ>Doy~_c`kadj_KW_$?+3 zE);SGELpZI1~ysin@x8U*naQgh4QqURS96&Pf8K0y3!T=a-C!5I@5en0=)8c`H^*1 zJ#5>dAJ8vqq1;siH=C-Ym(K))dI{mgRc@H6hC?hmLKph{xarHSs~-=#3NZ$&#>bfs z{5dJFPgsBa)wTJKANmHL;u-%+p<4Ym_YnW%UI!f#=4G&`iE|S05 z<>?A!_}KPOKFnOmzg5I8j4dNJ-DK;y{K*>@3@|k1^}k2BPJYPeP5iLonRqJOTJx4u zi4$#SrJ|YFn|Eg=z0#Wa>M|+>RddrlOS=VL5^qHX zTE)C*Van82T!^CJqxRK5l$lwFya5{&_E8UYeQ$(rh}%}_@!)p*EP#|*CGCHAIp)ul|QqRPCf97Cz@*D>il_riEo^jFEYF=VT3+P~^Wk zs0Uxs+q!<3{H3yPvI)uU8g3D){mq_#<})UgL!WQ|-n_^`9FyiX;d_k)zb?x&Ho#4V#$y69iiE13<64hbqDWE0a(kg5oG1_SDkQ)J}q zu-f5Hnv6<&$y2WnLdOMle-HFHv{iJeY#d;QV{WS9Z88Rrxhu%kUiE$!({ze)cV8@s zSrxVQd(3!rgTi`3ubQ#l42W>%|Hl=qC9^KfC|L-v-vf$cBX(IWSD@66U z6_7)T5Bgp}dVc@$<-fKl;3BX;gqM;@p`7b2a6Wj#I>w|wXULko-ZE8o7?V#}pBu#! zZp_1-M+QvF!cEHWdj9 zgGU-#XjcPW9gQY9#*{32Ub>=J{l`P7tkTE>{yY8_BJRyMpX~5sLdfLXLeQ5w6_wpx zu)e0|^vc(Nb7#0)<|`zfTRlSSJ!P(4`&1V@MRm$bZBZj7U9P%0_;rqNI$^jVM^%?E zWkU@1zR~R`NN9C2MC)ZU^|cl~+SHoi`=WdW73p(zBBea(#`9e+NK%owwUHCaF!X3txSJ+w~kw?1B0gvzGx{J)1 zv*l6j&hGArd7T=rak;9Cr^Q9L6IuFoemTc4%IArA zkO89nVG|Bs_k!4#mgjn~c)RtvgbM$P33bQTKC-gt!Yw&UZ$;LSA0L*gr)T3Gc%eFa z9uF18C2gQ@S#VO2#(}>Z1@&K;D&p7o0+0chz-kR++Pa}2p1DM-NMn}bYV}7%(ahK zY5a--eZ`_=iWZA_R(H0=A@h?T3F-@f(4bnm&!1dFNH4B#?Y0SOP$mdWUPilsuSG_e zeRw+KYmP~9mKsHkL914>-a)axn5LQJYeudH>oEgAe`D*4;vN+jAYIM|02nVmKRfN$ zaZQdWSDhpfHUdq$F9cpLSGECm7Cl(7@CzGzk_+#`RR?!rnO&S&-Pm<#i-=ec$79Nsa(`qyo`<9b?x? zyeAQ0o1g+_0c^==vxyD@;h^6NZelRx;T`s8?YAyje@EZ z+>5S7dG?AqXLC+Qa1=M^c+yt~OTnU%?ChJ z#Ss>c2l_#iAvzh3kMtT$*yXL`^B#BaexJ@{$VUl;CI7r-nmywL@RZ)-8MCe`8me5_ zGa+%g@}9gB47ThF&Wx{yRtw;w2Z3NZe45L?Bzz|3QuCr69m?^)MUu2QXj3~rjPuFq zJL$#NLv>zL41xa|xO7Z%L@o;RzJETKb43q-|3u71h)!xDX9WBuziArE?rPzU67nMU zw*7|(uVL$0>BKM6=U=eq;xkSFILU|g7(4^;zw$FDEO#c9%r?VYH$tzmmkdE+C9mDw zkwX?AUiZj~*FXD02?`o%e}=Elhp{BP#+4Xw=17C$5P;iLy^S1btV~aurvxxAtw)m{ zd=wCft^yHxh(+y0>LP%X9q&l^FnDge1Au=8rJCq|9;N!iMUdoMf754u*UesRz72f7 zSIl>j*vcodqG$SYZNs+h0Q++xIb**c{QKg?{9^eTr4!1hB>*5n(*eI_(B?NFSctcp$QoJ-3N7)vyN52ME#vb!{3O-YP_sBfj; zMCr@JT*mShC&F6{AAuC3LjyeBt*k+myciMP#Gy6L{S&(H{u1&D^B3s+1^@scu+F&L z>If!GPEOtfoTq-?mhFeG&-+0uVAB0V`+0x+$DI#z@OC9^XO@hG^ova?05w-MS0d%k z!6!%pOqcY2g!=i>F9 z_)Uin;Z1v!b&9?k19s}NAJ7DqbJbU_B54^u$(xxFGiwX-k_bK~^Z+lG41k3QV&%^P zi1hCVl8 zFUBp1Z-O#0Vl9l`1&f(4tZxGtQEZrCT`d4dOQm+^BY;)|_mGClBPT4@QVM9w`Zr>y z1f^sOBlL@ZFj(1HKo2{86Zq#1mSPB&AieMh^N2yr;|KPE0TgTNBqfVH;nt_-VL5=Z z3TBcg^p4|uf25XgN$rE~$sUXDskOGe#h%ySd2OPT61>P{fPKuF+W|mGEZy_v7y1P^ z;B^ATaYGkRCmXQpwg6Rsb!2vRlsa^b9)7U~e(Tt)IE|D$z_Gl~+1s}*T8d7!kxY|{ zJZ|#mTSD_?4S2v3E+bQp^q*j9EP8%Oe5w{!U46n zZ%cWDEDnSpg{3nBd@~g}(6(mel6nakWLQF39fl3dpFII|-t%4G_PK|;;MH-hfEUh` zvv|3)_;RM-bdABO-Z0t3hn5_O$~%KPG3i>uW28M>GSyz7<`*inMT>ZwD|y!?YkD=8|482tmGqDtSg`mw-o}!tCznUu;+c}St5N_E8PM>vDjEN z1wNsxrax>H2wqbw_c;?57xd>X%sqsdbNIk~OMS`DmgH_pj_>&BNe-*OJV-eCxGov3 zxPsMmHY(TMm?Fjo7;p;-jAs>cf-Qo#zr4)CEKitd-k-qDLBjC-#)geTYwcT{|JDv> zf0DE&>^cL`ed)^#f!iW<^5Z*YmuW`VufKi!KMSu3yn4wZ4s;m^vpjCiPDQO@H|e_6 zNmFQODApfn)$}_%JEJ&aQ=B(XOZX#rpXxWUD86^(%BR4w`Ki3&RxshM7%9-C!y?b$ z-4#3NRexFYlK`A^*-+y@l9sTi;WxQHP2x{UUACs()RG5Tn*wBQ#gcI@MYAxI-e}m1 zc0DFG0hTNnvZ9#ig|A2|eW$5B7GNFs(%_Jp&|OEzxC0}F`Db*v5b^Yx6A z2Z09<^39k*Ft}H3iCHEOi89gV*eL>QvbZ9T>e-v^{0; zdvTQ0r22|%^m0C_)Y*-Bbj*+D(dXxW2e3A72!E~93)mIdXJ^Ig0S;3YCjWfG+CA9l zVCv?x$nWB6ppPvWV=`?2BWFiKe$Qx_Sou^1su>SkZWp12FoMh|9A7$Azx$m^_khcV z13_S2H^oc&2&Zk{#dW5pYmweL7L?O0v%Y(h!VE=VpT4GuK z!RlS^FaG?pU;)gy1jY34l)yY3@cVs^XKb;g`>mERT5_c@0EC9ckG_c^;^c&BZzE+} zS|{wI0tw9zXsYvCY_32w0Aq~+;DXBvJILn?*Z>*VY*CmA2Nw)9tfqdm!m#)pz^y9S zGib>>yE#&wiQBgsR66tBkQjW-*iBh4jr%Tlwda?8MJ`+8zw678b(*xt!vqslnlpx2 zmD%wotiL>gqBXb2Pu{no-`u=cLwMh1K^mMdSgt!TfyVNd_q@b+-6dL799!$^ z+F-fpxxOura%`A8?jW}XIZ%VdNAf`qh;$%w=<{DhyLg~MU(Pz9eg|p%MIKbBRWAP$ zc+=)%@{6De<1iF-7jgHw(3*o#>c5+A-GgW85!jmm$Bge@tA^?%4w$ra0B{Cd&c)fu zt%Y_hiD#H0s;3)-IC1_sFmG3v*r|Jnf4R(e85F+TcII-n^Hl19+%?O*xticDCdGrA z$ls80WidjDNCr%0%~`6IPjPQO=Kq5-8GV|}Dh=f1<-IPBrd&6=F59ja_AW9nCU+Zg zKn>E3&6X{al8t!{bIvWs_vHzxKe0clNC|NSR}XAlEhl~TJ8?TOU{5qwBnt!cmi?1r zFyAVir@iPSejiA8em}(#3IHNDC@hLzhRm)U2zO7m6#@@>SF#Z-0RgZ$o_ib5sxV=P zfr!?ovXbu`$JpUQ#OkBK-;W}Gg3jY}UJ??}LL&5`-nEQS00D zx%LaAmU)|~i`mKx!+XgDHrJ(aJcGNe|LS*@+3IyvdhFe*Z*rGi)_mj3gZ8} zNron8y!0zcJ%@}fb>o99T?6cPmr4j{d3>~}Nz-lDUT zI-41$7y+auPhbvFc~}b$9fK+d!sDBvp!(7Jw=bfq$1OFdW{Q$euCv4NU2Ov;!Z|ii z<5fOa$wZNB`oo)5crIGmHB>Q>_}=XUz=+m{{{^ZFS37`k0i0Y?S$o?8&KAzs9!Z0` zuA4FN9Pl06!08Hng8++&(c~QY9X99IK*+dY?2`nuq^QH-^4km1MPqFqD9PnfQe@4<(2O%TRKHW{JfTbC^;k!T-BR}`)Y=6JzxDI?m zLIm&u3gUc$gB&2^N_qYKnznep2HpfWEWVq;e;d%uE zJe&~}M~F$P94z%sME(jG$eYel2M;P39vf~^Y+~B=5@`Csyk-jT*-+C2XJJu)XH8Y3 zxlY2W8evHU^wZhS!+!TU~R+U8!L;bo`l<7Vv1qc_zl33{EwZ~_NR-_^yS}G#`7gYU=9=< zh~R10o4785~}c@7wbo(2Cy9v)r_ zFavN01;f@yz}P(pm!}V#{g`hv?Z76h^5a3@4YTpJH=Zv3to=Js_XfgyXV5h;8rE3H z{}kc@v_H&%07$Nx;H7LUyQ=TW=eJQK*cP||h9PZR-|-}zHvNfy#iXS$RYz#7hlU;J z-JY^}1rM(}K!}T?1QqbCW93e5J0l(l+K@Tik|{hh(0oV>a+f^>b`cV^uG7I&2hXd} zOR{#zO%vHI&_S-oX#l+fF%@FA47I`uhrj;!)t?B{QUaXRcyKHfrqZ;-Bjo!pWZO0MAIl^cG!+b+!uGYiu znXNHHf>1C;%1&j;TXM0l-Mp@z^}6pG=zr)n8BxDto$p1QF_|cl%1vJ z(<&QOL85cn<3TMP>0jf|g6%U%cxGwJy)?sm z+cw^AC~F!--r$z(b00R%^XhgCcnVryp~oKn0}7R{@2#TpU^LMP>imqJcQH0JOwG!Akh7jCS@*F{TctlV7OJG&{^)oF2co62FkW+;B!CNS z0G*ODnsV>TKFd3gtp*gelgLdiii23joO?_o*j%kUhVDbMc|PoYD_+)@=zY$ijQ{f^HybH@HNT6Zhnt#;4$QpYTxZ=3SVg);ZcRgLBs1N8CWTwc4*sv zV}!-CmM-zyaTPnp^l`Q8e4s8qYu=u4P0ELp4s-Qo!kNeWmf?g>CSTU%>Ty>jM>*-!{6N`b&2lVMo-=U)vGa z5?Ih~YVv;B-GDOtsf0gs;YM_^7Stk2M=TKzFJ9p|76YQRXs2tvA&3c9*uCcLR4Ob4 zMN&yRcXlWGs{>g=?b$F*0wSh;X zy6T2B`v!zmEa%7}{6ya|&E6hMT1?uBv7u=9+s@;n~-`i6{%=su8-5WGd zWEZ|o7c*bQ%SLdQ9m;1`~&WmepWrpAag^u z1n*clPxOQt01o=Fo1@!u>L*JcF*8=}Ff3O2Hzvx{6%stRSy;LM+8z(`irONIm=nKu z!poYauu{~BKfi7gkVt|!m{}OVRDkRJN}dT1Vw7gz_?=*iAf8t7wB?j!ZsN`i_vO+l z`y8d_VhA-Yo(EHUg2(S|u^M85HHyE;>@W1Myua@FbgLOQkzPahb}0nn&-fd6c?Uz? z>eG&9>1XNTNUh=^rg?|AE6;wpnBI=I5sYa8RANESQw`PAPnLvFB;AH~Zm1+~R_kv= zIrr<*h%qUs*QgHB(?|hD?up9c!%glL9f_O7+Jv*ZJ&BKIjlbEfXn<~zBg=%IAEhDZ z>dHGwim>+>G84$B!-P%lj?D}|T?O3_(&{rbYP5;?p4{Qwa+Xchc}X3z=rSqxcgr3D zNIw+yZd8-sjj@t8(seGat!+y{;sSg$WOSdyk%8YA_!?pBZR-y;M|NBW>m>1$z06r~ z9mV9{#TT0;C#EmE{CI=iOMbbqWLQ%u07RT_srO-zC*UrDD}u&s51SMnb-)O&+M;BE**wOXcXZ{mGA5yz|-!dQ+D(l9HYcWBk8MSI{?#mpUZ5sMY zHB2D+O!+G&N|J{Z5?kxPudv%V{IkBXhBH5E5?(BmJk_C7F?X-wt_FdOx$p{;vR)_| zG`S{ip{EO9Ek)Q5;-E*T3eNK<8+rkB+sS6pzpPXEzWjZ2}_7sDK+Q| zKbj{?KKr?UabyZJ>3M?D)IR1(5US+Ri@+&`uKh}6g(3FBwV!VEelq!Fc!+0|Rl|a} zcO4eY)MGjMY4c&M&Xb6{5?LmzT9t63hw+fIcgyioZ6l6c%%zq|4r6*PyIt@^ zt(zQp$@a|V=3OgHPac}vyD>M<7mW~YJw(?$LV*JPjSLnS^F38Dqdd{3cE;W}tz5BX zYyl>5(W;3p-axtsrBAkqjV`CV5^blZwX$Si$^HK5rYcU6xJJb_9W%6W0co-GKwVO! z9g&C{mz1$?FI{P{WgQ*fYtoSPCW}Jz`GMJ?+3~nLo1Z^`R7g>_UJA9j;}K8OP^v%e z;8ksWI!=V_O7xf`bLk$k`k>8*R_WtO_@+aE9r9QNDEsj;zq9rd%SKe|8WumJM&`G| zNBhM1hGODn$nY#uTM1t849Ja&Q=Lp%#-HjPu)<1c&%R%_L|eU!hvmlkBzes`2ks&6 z1FVmHZ-)Iu zrM(Tm>sS3yd;4m%oBaJX{=aSy&>UE<#1m?MOfVB^kPeF43X1IN;|j$+dq(A*%K>=p zee520=Gp4u?D(q$kN6<$F#`QK(E{kyW$Q$*fZEgQNWF6WZCif(dJ=eMGlBhB#!bgUg>x4y*cGHCiA_I%HhI-o3>G>8+h=|+zmrSW)JRfzN90>I`r zg93jIY-q?p6ObtdyF=@Qs+QW!&DtmPgpW#-LT^&r)>Sjy0TIA6^@Z zak2@bH13lGHqT!Y)zf6o{t@Lq?k$)k1T7;O8a(JLiHDF0^CRVHk!z4oUd*10^YAZc z;{k2DLMT>&4efsR?xPuVfRCq=9G()10 z{f%q1D*3fR87*qwcgCAvn9*x>Fw~U+Ph}#Dt26tCjeo-;)EgeRd)o(>D!HM&j{*3swu+$9_Z#3kYO52~#vUhj5+MYb0q z0A@d}GAM?^I#`E&%s}Rc3H#A7^nFPI0>hDp8ynpzM z_zVAq6zQtc7h{Oc4d&3@BW|!_{=fVf=URoXww5SCc)Z`ES@~Tq+*U@wC5aL!wJAFc zQqigwhl}438Z^}@Tb?eDypT9(9U|$9IznlgfuZOmR2uWFsy9}pq&

Y7=NIjc60SxJ8$D>>!`tGcqig%F>nx6nk1fwr zRG?e?z2A4-1)UGGu_a(*v`J)NpijZ8l6d>}{cb0T7&ik7r60)z;^Joktf8ySOi!PX zj>dUGY5`!;d5}P8Yw61TDvU^|W&NOrquV0$i2~HVJx4xUo0;)%*^<>efoD3u@FgWt zq|JFX+K>STdux=dFR!dz(LE#^H8a4Ho}OO*LGNJzv##dnD(>W*rF@r|-y-BP7n$Hu z23_6UydxEKhwVwR1PxDVA{tI9%iQ944jLPI5v0D8lM^2+tPDbZ#|?ykCDNpjErXQCPobM?T@gW})D5OEl=>uI+r<=X~J z1xm?-UQchjF$HNZAlgq;C=?`vgqw46NaIaPikyl-ay#u;BUr z%>;P%Rdlz1Z`?714=&G6ow|T)L@5Ms(LcK8O9*#`_~<9{RaaNV%xGfR#fFr`ulFmG zMAir$#f6TOca_n~VI{p`2FB&vH&E)H*%CcEvxw5Y3OE1I?@K+8a&rD*&O*4r1qCT- z1S8erWyS@bw=an)g5+5Yxu6pA8Z0DQFU%#A&b_^1>A% zkDnt%3z~IkXz2TXEhD&Y354N99PC_XXCaX|d&S5aeO(j9!Q9&F>ZN66SD}u=VUo2~ zC+Y5UWau>=?qnClrU4%D2;n>VS(#>I{$12|^_ z{QNM8Gf?ZyPM+gP)2#VHfHVC7V>ddE)pFKgQc@C5-0WEA`ng_Gl{$irF{JSvM&i1`7?@TQ%7k|`m=i0g_r*?O!WVNki>qeh= z(%WvpO_J0&ZXuzoKnAuNV<;HwFD-~(|M8jYE02dW_)AwIwvja}onhV&aphZRhT#SH z-eYyC$a_U}4dXFxwbQmKo~a3D+l=M(tkw8E$(b_9pg|}v7f>aMriO+sQ1+z@pvK_AlsKijHB%4K0Zh?%nfFZ`U#4y=Lb`HWQve<7&V0)rL1jk8K?o}@%> zNk!Ha^SX6e-A=hDCk6-Ghh~DVFZ#rPYGoto-mRD$@WG+f0fz{214rh2En6f3X%k3u zNS2PBg~AcKX-0lWoctQnd9k|;GrXyEH<&3GpWCmCZA-woU=7<8q$q~6IxBc{Y-SOj zvd7)ykS`W`f5!dN)y(~2#I`qpyaoxk=)9{TXwY!{xsl3O*Bbu3YL)@fzx{~;Q&3=F2&b@9Z||LB&@tQC0M^buwrg8= z2q#-Ml{EPk6B7{RE}F{hZ~2p!mQa#s_f7yM>vAfxIo-4=sQP~A7!bBeY)Q9SJkFhR zSZjAlSeBBXmnXM-w>#waS*DRr`k}#unIvhp=K;2rjxmowQJRX7f$Dwn?8-)F6WjwP zk|dHb6XSjBn*V)l%oJ8i`p=utH7VZzd`hCm|MxRHdEWC98v@^r)J$%5JlBZ`E_ Date: Wed, 22 Mar 2023 15:25:19 +0000 Subject: [PATCH 065/128] more --- docs/db.tex | 45 +++++++++++++++++++++++---------------------- 1 file changed, 23 insertions(+), 22 deletions(-) diff --git a/docs/db.tex b/docs/db.tex index 4085894..7d39dd6 100644 --- a/docs/db.tex +++ b/docs/db.tex @@ -10,6 +10,8 @@ \usepackage{amsthm} \usepackage{graphicx} \usepackage{comment} +\usepackage{algorithm} +\usepackage{algpseudocode} \title{$\partial\mathbb{B}$ nets: learning boolean functions by\\gradient descent} @@ -126,7 +128,7 @@ \subsection{Learning to negate} \subsection{Margin packing} -Say we aim to construct a differentiable analogue of $x \wedge y$. Note that $\operatorname{min}(x,y)$ essentially selects one of $x$ or $y$ as a representative soft-bit that is guaranteed hard-equivalent to $x \wedge y$. However, by selecting only one of $x$ or $y$ then $\operatorname{min}$ is also guaranteed to be gradient-sparse. We define a `margin packing' method to avoid this dilemma. +Say we aim to construct a differentiable analogue of $x \wedge y$. Note that $\operatorname{min}(x,y)$ essentially selects one of $x$ or $y$ as a representative soft-bit that is guaranteed hard-equivalent to $x \wedge y$. However, by selecting only one of $x$ or $y$ then $\operatorname{min}$ is also guaranteed to be gradient-sparse. We define a `margin packing' method to solve this dilemma. The main idea of margin packing is (i) select a representative bit that is hard-equivalent to the target discrete function, and then (ii) pack a fraction of the margin between the representative bit and the hard threshold $1/2$ with gradient-rich information. The result is an augmented bit that is a function of all inputs yet hard-equivalent to the target function. @@ -159,7 +161,7 @@ \subsection{Margin packing} \end{aligned} \end{equation*} If the representative bit is high (resp. low) then the augmented bit is also high (resp. low). -But the augmented bit has a higher (resp. lower) value than the representative bit when below (resp. above) the $1/2$ threshold. The difference depends on the size of the available margin and the mean soft-bit value. Almost everywhere, an increase (resp. decrease) of the mean soft-bit increases (resp. decreases) the value of the augmented bit (see figure \ref{fig:margin-trick}). Note that if the $i$th bit is representative (i.e. hard-equivalent to the target function) then so is the augmented bit (see proposition \ref{prop:augmented}). We now use margin packing to define gradient-rich, hard-equivalents of boolean functions. +But the augmented bit has a higher (resp. lower) value than the representative bit when below (resp. above) the $1/2$ threshold. The difference depends on the size of the available margin and the mean soft-bit value. Almost everywhere, an increase (resp. decrease) of the mean soft-bit increases (resp. decreases) the value of the augmented bit (see figure \ref{fig:margin-trick}). Note that if the $i$th bit is representative (i.e. hard-equivalent to the target function) then so is the augmented bit (see proposition \ref{prop:augmented}). We use margin packing, where appropriate, to define gradient-rich, hard-equivalents of boolean functions. \subsection{Differentiable $\wedge$} @@ -228,7 +230,7 @@ \subsection{Differentiable $\Rightarrow$} \subsection{Differentiable majority} -\begin{figure}[t] +\begin{figure}[h] \centering \includegraphics[trim=0pt 0pt 0pt 0pt, clip, width=1.0\textwidth]{majority-gates.png} \caption{{\em Differentiable boolean majority.} The boolean majority function for three variables in DNF form is $\operatorname{Maj}(x,y,z) = (x \wedge y) \vee (x \wedge y) \vee (y \wedge z)$. The upper row contains contour plots of $f(x,y,z) = \operatorname{min}(\operatorname{max}(x,y), \operatorname{max}(x,z), \operatorname{max}(y,z))$ for values of $z \in \{0.2, 0.4, 0.6, 0.8\}$. $f$ is differentiable and $\equiv \operatorname{Maj}$ but gradient-sparse (vertical and horizontal contours indicate constancy with respect to an input). Also, the number of terms in $f$ grows exponentially with the number of variables. The lower row contains contour plots of $\partial\!\operatorname{Maj}(x,y,z)$ for the same values of $z$. $\partial\!\operatorname{Maj}$ is differentiable and $\equiv \operatorname{Maj}$ yet gradient-rich (curved contours indicate variability with respect to any inputs). In addition, the number of terms in $\partial\!\operatorname{Maj}$ is constant with respect to the number of variables.} @@ -247,9 +249,9 @@ \subsection{Differentiable majority} \text{,} \end{aligned} \end{equation*} -Interpret each input bit $x_{i}$ as a vote, yes or no, for a binary decision. If the majority of voters are in favour then $\operatorname{Maj}$ outputs 1. The majority function, in the context of predictive model, therefore aggregates multiple bits of weak evidence into a hard decision. Neural network binarization transforms real-valued activation functions into boolean threshold functions \citep{10.5555/3157382.3157557}, which indicates their close association. We aim to construct a differentiable analogue of $\operatorname{Maj}$. +Interpret each input bit $x_{i}$ as a vote, yes or no, for a binary decision. If the majority of voters are in favour then $\operatorname{Maj}$ outputs 1. The majority function, in the context of a predictive model, aggregates multiple bits of weak evidence into a hard decision. Neural network binarization transforms real-valued activation functions into boolean threshold functions \citep{10.5555/3157382.3157557}, which indicates their close association. We aim to construct a differentiable analogue of $\operatorname{Maj}$. -$\operatorname{Maj}$ for $n$ bits in DNF form is a disjunction of $\binom{n}{k}$ conjunctive clauses of size $k$, where $k=\lceil n/2 \rceil$ and each clause checks if a unique combination of a majority of the $n$ bits are high; e.g. $\operatorname{Maj}(x, y, z) = (x \wedge y) \vee (x \wedge y) \vee (y \wedge z)$. Therefore, we could in principle implement a differentiable analogue of $\operatorname{Maj}$ in terms of $\partial\wedge$ and $\partial\vee$. However, the number of terms grows exponentially (e.g. $n=50$ generates over 100 trillion conjunctive clauses, which is infeasible) and there is no known general algorithm for finding the minimal representation of $\operatorname{Maj}$ for arbitrary $n$. +$\operatorname{Maj}$ for $n$ bits in DNF form is a disjunction of $\binom{n}{k}$ conjunctive clauses of size $k$, where $k=\lceil n/2 \rceil$ and each clause checks whether a unique combination of a majority of the $n$ bits are all high; e.g. $\operatorname{Maj}(x, y, z) = (x \wedge y) \vee (x \wedge y) \vee (y \wedge z)$. Therefore, we could in principle implement a differentiable analogue of $\operatorname{Maj}$ in terms of $\partial\wedge$ and $\partial\vee$. However, the number of terms grows exponentially with the number of variables (e.g. $n=50$ generates over 100 trillion clauses, which is infeasible). And there is no known general algorithm for finding the minimal representation of $\operatorname{Maj}$ for arbitrary $n$. Instead, we trade-off time for memory costs. Observe that if the function $\operatorname{sort}({\bf x})$ sorts the elements of ${\bf x}$ in ascending order then the `middle' soft-bit is representative. For example, if ${\bf x} = [0.4, 0.9, 0.2]$ then $\operatorname{sort}({\bf x}) = [0.2, 0.4, 0.9]$ and the `middle' bit $x_{2}=0.4$ is low, which is hard-equivalent to $\operatorname{Maj}(0, 1, 0) = 0$. Define the index of the `middle' bit by \begin{equation*} @@ -266,29 +268,32 @@ \subsection{Differentiable majority} {\bf x} &\mapsto \operatorname{augmented-bit}(\operatorname{sort}({\bf x}), \operatorname{majority-index}({\bf x}))\text{,} \end{aligned} \end{equation*} -which is hard-equivalent to $\operatorname{Maj}({\bf x})$ (see proposition \ref{prop:majority}). Note that $\partial\!\operatorname{Maj}$ is differentiable almost everywhere and gradient-rich (see figure \ref{fig:majority-plot}). If $\operatorname{sort}$ is quicksort then the the average time-complexity of $\partial\!\operatorname{Maj}$ is $\mathcal{O}(n\log{}n)$, which is more expensive than $\partial\neg$, $\partial\wedge$, $\partial\vee$ and $\partial\!\Rightarrow$. +which is hard-equivalent to $\operatorname{Maj}({\bf x})$ (see proposition \ref{prop:majority}). Note that $\partial\!\operatorname{Maj}$ is differentiable almost everywhere and gradient-rich (see figure \ref{fig:majority-plot}). If $\operatorname{sort}$ is quicksort then the the average time-complexity of $\partial\!\operatorname{Maj}$ is $\mathcal{O}(n\log{}n)$, which makes $\partial\!\operatorname{Maj}$ more expensive than $\partial\neg$, $\partial\wedge$, $\partial\vee$ and $\partial\!\Rightarrow$. -\subsection{Differentiable integer count} +\subsection{Differentiable counting} -Define +A boolean counting function $f({\bf x})$ has the value $1$ if a counting predicate, $c({\bf x})$, holds for its $n$ inputs. For example, $\partial\!\operatorname{Maj}({\bf x})$ is a boolean counting function where $c({\bf x}) := |\{x_{i} : x_{i} = 1 \}| \geq \lceil \frac{n}{2} \rceil$. We aim to construct a differentiable analogue of $\operatorname{count}({\bf x}, k)$ where $c({\bf x}) := |\{x_{i} : x_{i} = 1 \}| = k$ (i.e. `exactly $k$ high'). This will be useful for multiclass classification problems where we interpret $k$ as a class prediction. + +As before, we use $\operatorname{sort}$ to trade-off time for memory costs. Observe that if the elements of ${\bf x}$ are in ascending order then, if any soft-bits are high, there exists a unique contiguous pair of indices $(i,i+1)$ where $x_{i}$ is low and $x_{i+1}$ is high, where index $i$ is a direct count of the number of soft-bits that are low in ${\bf x}$. In consequence, define \begin{equation*} \begin{aligned} -\operatorname{low-high}: [0,1]^{n} &\to [0,1]^{n+1},\\ -{\bf x} &\mapsto \left[ \operatorname{min}(1, x_{1}), \operatorname{min}(1 - x_{1}, x_{2}), \dots, \operatorname{min}(1 - x_{n-1}, x_{n}), \operatorname{min}(x_{n}, 1) \right]\text{.} +\partial\!\operatorname{count-hot}: [0,1]^{n} &\to [0,1]^{n+1}, \\ +{\bf x} &\mapsto \operatorname{low-high}(\operatorname{sort}({\bf x}))\text{,} \end{aligned} \end{equation*} - -Define +where \begin{equation*} \begin{aligned} -\partial\text{COUNT}: [0,1]^{n} &\to [0,1]^{n+1}, \\ -{\bf x} &\mapsto \operatorname{low-high}(\operatorname{sort}({\bf x}))\text{,} +\operatorname{low-high}: [0,1]^{n} &\to [0,1]^{n+1},\\ +{\bf x} &\mapsto \left[ \partial\!\wedge\!(1, x_{1}), \partial\!\wedge\!(1 - x_{1}, x_{2}), \dots, \partial\!\wedge\!(1 - x_{n-1}, x_{n}), \partial\!\wedge\!(1-x_{n}, 1) \right]\text{.} \end{aligned} \end{equation*} -where ${\bf x}$ is a vector of soft-bits. $\partial${COUNT} is hard-equivalent to +$\partial\!\operatorname{count-hot}({\bf x})$ outputs a 1-hot vector where the index of high bit is the number of low bits in ${\bf x}$. For example, $\partial\!\operatorname{count-hot}([0.1, 0.9, 0.2]) = [0.1, 0.2, \bold{0.8}, 0.1]\text{,}$ indicating that 2 bits are low, and $\partial\!\operatorname{count-hot}([0.6, 0.9, 0.7]) = [\bold{0.6}, 0.4, 0.3, 0.1]\text{,}$ indicating that 0 bits are low. + +Note that $\partial\!\operatorname{count-hot}$ is hard-equivalent to the boolean function \begin{equation*} \begin{aligned} -\text{COUNT}: \{0,1\}^{n} &\to \{0,1\}^{n+1}, \\ +\operatorname{count-hot}: \{0,1\}^{n} &\to \{0,1\}^{n+1}, \\ {\bf x} &\mapsto \left[\operatorname{k-of-n}({\bf x}, 0), \operatorname{k-of-n}({\bf x}, 1), \dots, \operatorname{k-of-n}({\bf x}, n)\right]\text{,} \end{aligned} \end{equation*} @@ -296,13 +301,9 @@ \subsection{Differentiable integer count} \begin{equation*} \operatorname{k-of-n}({\bf x}, k) = \bigvee_{|S|=k} \bigwedge_{i\in S} x_i \bigwedge_{j\notin S} \neg x_j \end{equation*} -(see proposition \ref{prop:count}). - -%$f(x_1, x_2, \ldots, x_n) = \bigvee_{|S|=k} \left( \bigwedge_{i\in S} x_i \bigwedge_{j\notin S} \neg x_j \right)$ -%is a logical OR that is taken over all possible subsets $S$ of size $k$ of the set ${1,2,\ldots,n}$. +(see proposition \ref{prop:count}). However, in the hardened aspect of the $\partial\mathbb{B}$ net we efficiently implement $\operatorname{count-hot}$ as a discrete program that simply counts the number of low bits. -TODO: count is 1-hot function -TODO: count allows us to implement boolean counting functions. +Note that $\partial\!\operatorname{count-hot}$ is differentiable and gradient-rich. We may construct various kinds of boolean counting functions from $\partial\!\operatorname{count-hot}$. For example, $\partial\!\operatorname{count}({\bf x}, k)$ is straightforwardly $\partial\!\operatorname{count-hot}({\bf x})[k]$. \subsection{Logical layers} From 47f177a31fa890388f4cb320e5055748c831e04a Mon Sep 17 00:00:00 2001 From: Ian Wright Date: Wed, 22 Mar 2023 21:49:54 +0000 Subject: [PATCH 066/128] more --- docs/db.tex | 111 +++++++++++++++++++++++++--------------------------- 1 file changed, 54 insertions(+), 57 deletions(-) diff --git a/docs/db.tex b/docs/db.tex index 7d39dd6..b2ae440 100644 --- a/docs/db.tex +++ b/docs/db.tex @@ -13,7 +13,7 @@ \usepackage{algorithm} \usepackage{algpseudocode} -\title{$\partial\mathbb{B}$ nets: learning boolean functions by\\gradient descent} +\title{$\partial\mathbb{B}$ nets: learning discrete functions by\\gradient descent} % Authors must not appear in the submitted version. They should be hidden % as long as the \iclrfinalcopy macro remains commented out below. @@ -57,7 +57,7 @@ \section{Introduction} This paper proposes a new approach to mitigating these drawbacks. The main idea is to define a type of neural network, called a $\partial \mathbb{B}$ net, which has two aspects: a soft net, which is a differentiable real-valued function, and a hard net, which is a non-differentiable, discrete function. Both aspects are semantically equivalent. We train the soft net as normal, using backpropagation, then `harden' the learned weights to boolean values and bind them with the hard net to yield a discrete function with identical predictive performance (see figure \ref{fig:main-idea}). In consequence, interpreting and verifying a $\partial \mathbb{B}$ net is relatively less difficult. The bias towards learning discrete functions reduces variance in some domains. And boolean-valued, 1-bit weights increase the memory-efficiency of trained models. -The main contributions of this work are (i) defining novel activation functions that `harden' to semantically equivalent boolean functions, (ii) defining novel network architectures to effectively learn boolean functions that solve multi-class classification problems, and (iii) experiments that demonstrate $\partial \mathbb{B}$ nets compete with existing approaches in terms of predictive performance yet yield considerably smaller models. +The main contributions of this work are (i) defining novel activation functions that `harden' to semantically equivalent discrete functions, (ii) defining novel network architectures to effectively learn discrete functions that solve multi-class classification problems, and (iii) experiments that demonstrate $\partial \mathbb{B}$ nets compete with existing approaches in terms of predictive performance yet yield considerably smaller models. This paper examines related work (section \ref{sec:related-work}), (ii) etc. @@ -118,13 +118,13 @@ \subsection{Learning to negate} We aim to learn to negate a boolean value, $x$, or simply leave it unaltered. Represent this decision by a boolean weight, $w$, where low $w$ means negate and high $w$ means do nothing. The boolean function that meets this requirement is $\neg(x \oplus w)$. However, this function is not differentiable. We therefore define the differentiable function, \begin{equation*} \begin{aligned} - \partial \neg: [0, 1]^{2} &\to [0,1], \\ + \partial_{\neg}: [0, 1]^{2} &\to [0,1], \\ (w, x) &\mapsto 1 - w + x (2w - 1)\text{,} \end{aligned} \end{equation*} -where $\partial \neg(w, x) \equiv \neg(x \oplus w)$ (see proposition \ref{prop:not}). +where $\partial_{\neg}(w, x) \equiv \neg(x \oplus w)$ (see proposition \ref{prop:not}). -Product logics, where for example $f(x,y) = x y$ is as a soft version of $x \wedge y$, although hard-equivalent at extreme values, e.g. $f(1,1)=1$ and $f(0,1)=0$, are not hard-equivalent at intermediate values, e.g. $f(0.6, 0.6) = 0.36$. G\"{o}del-style $\operatorname{min}$ and $\operatorname{max}$ functions, although hard-equivalent over the entire soft-bit range, i.e. $\operatorname{min}(x,y) \equiv x \wedge y$ and $\operatorname{min}(x,y) \equiv x \vee y$, are gradient-sparse in the sense that their outputs are not always a function of all their inputs, e.g. $\frac{\partial}{\partial x} \operatorname{max}(x,y) = 0$ when $(x,y)=(0.1, 0.9)$. So although the composite function $\operatorname{max}(\operatorname{min}(w, x), \operatorname{min}(1-w, 1-x))$ is differentiable and $\equiv \neg(x \oplus w)$ it does not always backpropagate error to its inputs. In contrast, $\partial \neg$ is a gradient-rich function that always backpropagates error to its inputs (see figure \ref{fig:gradient-rich}). +Product logics, where for example $f(x,y) = x y$ is as a soft version of $x \wedge y$, although hard-equivalent at extreme values, e.g. $f(1,1)=1$ and $f(0,1)=0$, are not hard-equivalent at intermediate values, e.g. $f(0.6, 0.6) = 0.36$. G\"{o}del-style $\operatorname{min}$ and $\operatorname{max}$ functions, although hard-equivalent over the entire soft-bit range, i.e. $\operatorname{min}(x,y) \equiv x \wedge y$ and $\operatorname{min}(x,y) \equiv x \vee y$, are gradient-sparse in the sense that their outputs are not always a function of all their inputs, e.g. $\frac{\partial}{\partial x} \operatorname{max}(x,y) = 0$ when $(x,y)=(0.1, 0.9)$. So although the composite function $\operatorname{max}(\operatorname{min}(w, x), \operatorname{min}(1-w, 1-x))$ is differentiable and $\equiv \neg(x \oplus w)$ it does not always backpropagate error to its inputs. In contrast, $\partial_{\neg}$ is a gradient-rich function that always backpropagates error to its inputs (see figure \ref{fig:gradient-rich}). \subsection{Margin packing} @@ -134,7 +134,7 @@ \subsection{Margin packing} \begin{figure}[t] \centering - \includegraphics[width=1.0\textwidth]{margin-trick.png} + \includegraphics[trim=30pt 5pt 30pt 10pt, clip, width=1.0\textwidth]{margin-trick.png} \caption{{\em Margin packing for constructing gradient-rich, hard-equivalent functions}. A representative bit, $z$, is hard-equivalent to a discrete target function but gradient-sparse (e.g. $z=\operatorname{min}(x,y) \equiv x \wedge y$). On the left $z$ is low, $z<1/2$; on the right $z$ is high, $z>1/2$. We can pack a fraction of the margin between $z$ and the hard threshold $1/2$ with additional gradient-rich information without affecting hard-equivalence. A natural choice is the mean soft-bit, $\bar{\bf x} \in [0,1]$. The grey shaded areas denote the packed margins and the final augmented bit. On the left $\approx 60\%$ of the margin is packed; on the right $\approx 90\%$.} \label{fig:margin-trick} \end{figure} @@ -168,36 +168,36 @@ \subsection{Differentiable $\wedge$} We aim to construct a differentiable analogue of the boolean function $\bigwedge_{i=1}^{n} x_i$. A representative bit is $\operatorname{min}(x_{1},\dots,x_{n})$. The function \begin{equation*} \begin{aligned} -\partial \wedge: [0,1]^{n} &\to [0,1], \\ +\partial_{\wedge}: [0,1]^{n} &\to [0,1], \\ {\bf x} &\mapsto \operatorname{augmented-bit}({\bf x}, \operatorname{argmin}\limits_{i} x[i]) \end{aligned} \end{equation*} is therefore hard-equivalent to the boolean function $\bigwedge_{i=1}^{n} x_i$ (see proposition \ref{prop:and}). In the special case $n=2$ we get the piecewise function, \begin{equation*} -\partial\!\wedge\!(x, y) = +\partial_{\wedge}\!(x, y) = \begin{cases} 1/2 + 1/2(x + y)(\operatorname{min}(x,y) - 1/2) & \text{if } \operatorname{min}(x,y) > 1/2 \\ \operatorname{min}(x,y) + 1/2(x + y)(1/2 - \operatorname{min}(x,y)) & \text{otherwise.} \end{cases} \end{equation*} -Note that $\partial \wedge$ is differentiable almost everywhere and gradient-rich (see figure \ref{fig:gradient-rich}). +Note that $\partial_{\wedge}$ is differentiable almost everywhere and gradient-rich (see figure \ref{fig:gradient-rich}). \subsection{Differentiable $\vee$} The differentiable analogue of $\vee$ is identical to $\wedge$, except the representative bit is selected by $\operatorname{max}$. The function \begin{equation*} \begin{aligned} -\partial\vee: [0,1]^{n} &\to [0,1], \\ +\partial_{\vee}: [0,1]^{n} &\to [0,1], \\ {\bf x} &\mapsto \operatorname{augmented-bit}({\bf x}, \operatorname{argmax}\limits_{i} x[i]) \end{aligned} \end{equation*} -is hard-equivalent to the boolean function $\bigvee_{i=1}^{n} x_i$ (see proposition \ref{prop:or}). Note that $\partial \vee$ is differentiable almost everywhere and gradient-rich (see figure \ref{fig:gradient-rich}). +is hard-equivalent to the boolean function $\bigvee_{i=1}^{n} x_i$ (see proposition \ref{prop:or}). Note that $\partial_{\vee}$ is differentiable almost everywhere and gradient-rich (see figure \ref{fig:gradient-rich}). \begin{comment} Define \begin{equation*} \begin{aligned} -\partial\!\vee\!(x, y) = +\partial_{\vee}\!(x, y) = \begin{cases} 1/2 + 1/2(x + y)(\operatorname{max}(x,y) - 1/2) & \text{if } \operatorname{max}(x,y) > 1/2 \\ \operatorname{max}(x,y) + 1/2(x + y)(1/2 - \operatorname{max}(x,y)) & \text{otherwise.} @@ -207,7 +207,7 @@ \subsection{Differentiable $\vee$} \begin{comment} \begin{equation*} \begin{aligned} -\partial \vee: [0,1]^{2} &\to [0,1], \\ +\partial_{\vee}: [0,1]^{2} &\to [0,1], \\ (x, y) &\mapsto \begin{cases} 1/2 + 1/2(x + y)(m - 1/2) & \text{if } 2m > 1 \\ @@ -219,11 +219,11 @@ \subsection{Differentiable $\vee$} \subsection{Differentiable $\Rightarrow$} -The differentiable analogue of $\Rightarrow$ is defined in terms of $\partial\vee$. The function +The differentiable analogue of $\Rightarrow$ is defined in terms of $\partial_{\vee}$. The function \begin{equation*} \begin{aligned} -\partial\!\Rightarrow: [0,1]^{2} &\to [0,1],\\ -(x, y) &\mapsto \partial\!\vee\!(y, 1-x)\text{,} +\partial_{\Rightarrow}: [0,1]^{2} &\to [0,1],\\ +(x, y) &\mapsto \partial_{\vee}\!(y, 1-x)\text{,} \end{aligned} \end{equation*} is hard-equivalent to $x \Rightarrow y$ (proposition \ref{prop:implies}). We can define analogues of all the basic boolean operators in a similar manner. @@ -251,7 +251,7 @@ \subsection{Differentiable majority} \end{equation*} Interpret each input bit $x_{i}$ as a vote, yes or no, for a binary decision. If the majority of voters are in favour then $\operatorname{Maj}$ outputs 1. The majority function, in the context of a predictive model, aggregates multiple bits of weak evidence into a hard decision. Neural network binarization transforms real-valued activation functions into boolean threshold functions \citep{10.5555/3157382.3157557}, which indicates their close association. We aim to construct a differentiable analogue of $\operatorname{Maj}$. -$\operatorname{Maj}$ for $n$ bits in DNF form is a disjunction of $\binom{n}{k}$ conjunctive clauses of size $k$, where $k=\lceil n/2 \rceil$ and each clause checks whether a unique combination of a majority of the $n$ bits are all high; e.g. $\operatorname{Maj}(x, y, z) = (x \wedge y) \vee (x \wedge y) \vee (y \wedge z)$. Therefore, we could in principle implement a differentiable analogue of $\operatorname{Maj}$ in terms of $\partial\wedge$ and $\partial\vee$. However, the number of terms grows exponentially with the number of variables (e.g. $n=50$ generates over 100 trillion clauses, which is infeasible). And there is no known general algorithm for finding the minimal representation of $\operatorname{Maj}$ for arbitrary $n$. +$\operatorname{Maj}$ for $n$ bits in DNF form is a disjunction of $\binom{n}{k}$ conjunctive clauses of size $k$, where $k=\lceil n/2 \rceil$ and each clause checks whether a unique combination of a majority of the $n$ bits are all high; e.g. $\operatorname{Maj}(x, y, z) = (x \wedge y) \vee (x \wedge y) \vee (y \wedge z)$. Therefore, we could in principle implement a differentiable analogue of $\operatorname{Maj}$ in terms of $\partial_{\wedge}$ and $\partial_{\vee}$. However, the number of terms grows exponentially with the number of variables (e.g. $n=50$ generates over 100 trillion clauses, which is infeasible). And there is no known general algorithm for finding the minimal representation of $\operatorname{Maj}$ for arbitrary $n$. Instead, we trade-off time for memory costs. Observe that if the function $\operatorname{sort}({\bf x})$ sorts the elements of ${\bf x}$ in ascending order then the `middle' soft-bit is representative. For example, if ${\bf x} = [0.4, 0.9, 0.2]$ then $\operatorname{sort}({\bf x}) = [0.2, 0.4, 0.9]$ and the `middle' bit $x_{2}=0.4$ is low, which is hard-equivalent to $\operatorname{Maj}(0, 1, 0) = 0$. Define the index of the `middle' bit by \begin{equation*} @@ -268,7 +268,7 @@ \subsection{Differentiable majority} {\bf x} &\mapsto \operatorname{augmented-bit}(\operatorname{sort}({\bf x}), \operatorname{majority-index}({\bf x}))\text{,} \end{aligned} \end{equation*} -which is hard-equivalent to $\operatorname{Maj}({\bf x})$ (see proposition \ref{prop:majority}). Note that $\partial\!\operatorname{Maj}$ is differentiable almost everywhere and gradient-rich (see figure \ref{fig:majority-plot}). If $\operatorname{sort}$ is quicksort then the the average time-complexity of $\partial\!\operatorname{Maj}$ is $\mathcal{O}(n\log{}n)$, which makes $\partial\!\operatorname{Maj}$ more expensive than $\partial\neg$, $\partial\wedge$, $\partial\vee$ and $\partial\!\Rightarrow$. +which is hard-equivalent to $\operatorname{Maj}({\bf x})$ (see proposition \ref{prop:majority}). Note that $\partial\!\operatorname{Maj}$ is differentiable almost everywhere and gradient-rich (see figure \ref{fig:majority-plot}). If $\operatorname{sort}$ is quicksort then the the average time-complexity of $\partial\!\operatorname{Maj}$ is $\mathcal{O}(n\log{}n)$, which makes $\partial\!\operatorname{Maj}$ more expensive than $\partial_{\neg}$, $\partial_{\wedge}$, $\partial_{\vee}$ and $\partial_{\Rightarrow}$ at training time. However, in the hard $\partial\mathbb{B}$ net we efficiently implement $\operatorname{Maj}$ as a discrete program that simply checks if the majority of bits are high. \subsection{Differentiable counting} @@ -285,12 +285,10 @@ \subsection{Differentiable counting} \begin{equation*} \begin{aligned} \operatorname{low-high}: [0,1]^{n} &\to [0,1]^{n+1},\\ -{\bf x} &\mapsto \left[ \partial\!\wedge\!(1, x_{1}), \partial\!\wedge\!(1 - x_{1}, x_{2}), \dots, \partial\!\wedge\!(1 - x_{n-1}, x_{n}), \partial\!\wedge\!(1-x_{n}, 1) \right]\text{.} +{\bf x} &\mapsto \left[ \partial_{\wedge}\!(1, x_{1}), \partial_{\wedge}\!(1 - x_{1}, x_{2}), \dots, \partial_{\wedge}\!(1 - x_{n-1}, x_{n}), \partial_{\wedge}\!(1-x_{n}, 1) \right]\text{.} \end{aligned} \end{equation*} -$\partial\!\operatorname{count-hot}({\bf x})$ outputs a 1-hot vector where the index of high bit is the number of low bits in ${\bf x}$. For example, $\partial\!\operatorname{count-hot}([0.1, 0.9, 0.2]) = [0.1, 0.2, \bold{0.8}, 0.1]\text{,}$ indicating that 2 bits are low, and $\partial\!\operatorname{count-hot}([0.6, 0.9, 0.7]) = [\bold{0.6}, 0.4, 0.3, 0.1]\text{,}$ indicating that 0 bits are low. - -Note that $\partial\!\operatorname{count-hot}$ is hard-equivalent to the boolean function +$\partial\!\operatorname{count-hot}({\bf x})$ outputs a 1-hot vector where the index of high bit is the number of low bits in ${\bf x}$. For example, $\partial\!\operatorname{count-hot}([0.1, 0.9, 0.2]) = [0.1, 0.2, \bold{0.8}, 0.1]\text{,}$ indicating that 2 bits are low, and $\partial\!\operatorname{count-hot}([0.6, 0.9, 0.7]) = [\bold{0.6}, 0.4, 0.3, 0.1]\text{,}$ indicating that 0 bits are low. Note that $\partial\!\operatorname{count-hot}$ is differentiable, gradient-rich and hard-equivalent to the boolean function \begin{equation*} \begin{aligned} \operatorname{count-hot}: \{0,1\}^{n} &\to \{0,1\}^{n+1}, \\ @@ -301,60 +299,59 @@ \subsection{Differentiable counting} \begin{equation*} \operatorname{k-of-n}({\bf x}, k) = \bigvee_{|S|=k} \bigwedge_{i\in S} x_i \bigwedge_{j\notin S} \neg x_j \end{equation*} -(see proposition \ref{prop:count}). However, in the hardened aspect of the $\partial\mathbb{B}$ net we efficiently implement $\operatorname{count-hot}$ as a discrete program that simply counts the number of low bits. +(see proposition \ref{prop:count}). However, in the hard $\partial\mathbb{B}$ net we efficiently implement $\operatorname{count-hot}$ as a discrete program that simply counts the number of low bits. We may then construct various kinds of boolean counting functions from $\partial\!\operatorname{count-hot}$. For example, $\partial\!\operatorname{count}({\bf x}, k)$ is straightforwardly $\partial\!\operatorname{count-hot}({\bf x})[k]$. -Note that $\partial\!\operatorname{count-hot}$ is differentiable and gradient-rich. We may construct various kinds of boolean counting functions from $\partial\!\operatorname{count-hot}$. For example, $\partial\!\operatorname{count}({\bf x}, k)$ is straightforwardly $\partial\!\operatorname{count-hot}({\bf x})[k]$. +This set of basic boolean functions is sufficient to learn non-trivial relationships from data. We now turn to composing these functions to form $\partial\mathbb{B}$ nets. -\subsection{Logical layers} +\subsection{$\partial\mathbb{B}$ net architectures} -Define +The possible variety of $\partial\mathbb{B}$ net architectures is probably similar to standard neural networks. Here we define basic layers sufficient to solve multiclass classification problems. Other kinds of layers, such as convolutional, or real encoders and decoders for solving regression problems, will be addressed in a sequel. + +A $\partial_{\neg} \!\operatorname{Layer}$ learns to negate a subset of elements of a vector: \begin{equation*} \begin{aligned} -\partial \neg \text{LAYER}: [0,1]^{n \times m} \times [0,1]^{m} &\to [0,1]^{n \times m}, \\ +\partial_{\neg} \!\operatorname{Layer}: [0,1]^{n \times m} \times [0,1]^{m} &\to [0,1]^{n \times m}, \\ ({\bf W}, {\bf x}) &\mapsto \begin{bmatrix} -\partial \neg(w_{1,1}, x_{1}) & \dots & \partial \neg(w_{1,m}, x_{m}) \\ +\partial_{\neg}(w_{1,1}, x_{1}) & \dots & \partial_{\neg}(w_{1,m}, x_{m}) \\ \vdots & \ddots & \vdots \\ -\partial \neg(w_{n,1}, x_{1}) & \dots & \partial \neg(w_{n,m}, x_{m}) +\partial_{\neg}(w_{n,1}, x_{1}) & \dots & \partial_{\neg}(w_{n,m}, x_{m}) \end{bmatrix} \end{aligned} \end{equation*} -where ${\bf W}$ is a matrix of weights and ${\bf x}$ is a vector of soft-bits. +where ${\bf W}$ is a weight matrix and $n$ is the width of the layer. -%[\partial \neg({\bf W}_{1}, {\bf x}), \dots, \partial \neg({\bf W}_{n}, {\bf x})] - -Define +A $\partial_{\wedge}\!\operatorname{Neuron}$ learns to logically $\wedge$ a subset of the elements of a vector: \begin{equation*} \begin{aligned} -\partial\!\wedge\!\text{NEURON}: [0,1]^{n} \times [0,1]^{n} &\to [0,1], \\ -({\bf w}, {\bf x}) &\mapsto \min(\partial \Rightarrow(w_{1}, x_{1}), \dots, \partial \Rightarrow(w_{n}, x_{n}))\text{,} +\partial_{\wedge}\!\operatorname{Neuron}: [0,1]^{n} \times [0,1]^{n} &\to [0,1], \\ +({\bf w}, {\bf x}) &\mapsto \min(\partial_{\Rightarrow}\!(w_{1}, x_{1}), \dots, \partial_{\Rightarrow}\!(w_{n}, x_{n}))\text{,} \end{aligned} \end{equation*} -where ${\bf w}$ is vector of weights and ${\bf x}$ is a vector of soft-bits. A single AND neuron maps $n$ soft-bit inputs to a single soft-bit value. A $\partial\!\wedge\!\text{LAYER}$ of $n$ neurons maps $m$ soft-bit inputs to $n$ soft-bit outputs. +where ${\bf w}$ is a weight vector. A $\partial_{\wedge}\!\operatorname{Neuron}$ maps $n$ inputs to a single soft-bit output. A $\partial_{\wedge}\!\operatorname{Layer}$ of $n$ neurons then maps $m$ inputs to $n$ outputs, where each output is the logical $\wedge$ of some subset of the input vector. In other words, a $\partial_{\wedge}\!\operatorname{Layer}$ of width $n$ can learn up to $n$ different conjunctions of subsets of its input. -Define +A $\partial_{\vee}\!\operatorname{Neuron}$ is defined similarly: \begin{equation*} \begin{aligned} -\partial\!\vee\!\text{NEURON}: [0,1]^{n} \times [0,1]^{n} &\to [0,1], \\ -({\bf w}, {\bf x}) &\mapsto \max(\partial \wedge(w_{1}, x_{1}), \dots, \partial \wedge(w_{n}, x_{n}))\text{.} +\partial_{\vee}\!\operatorname{Neuron}: [0,1]^{n} \times [0,1]^{n} &\to [0,1], \\ +({\bf w}, {\bf x}) &\mapsto \max(\partial_{\wedge}\!(w_{1}, x_{1}), \dots, \partial_{\wedge}\!(w_{n}, x_{n}))\text{.} \end{aligned} \end{equation*} -A single $\vee$ neuron maps $n$ soft-bit inputs to a single soft-bit value. A $\partial\!\vee\!\text{LAYER}$ of $n$ neurons maps $m$ soft-bit inputs to $n$ soft-bit outputs. +A $\partial_{\vee}\!\operatorname{Layer}$ of width $n$ can learn up to $n$ different disjunctions of subsets of its input. -\subsection{Architectures} +We can compose $\partial_{\neg}$, $\partial_{\wedge}$ and $\partial_{\vee}$ layers to learn boolean formulae of arbitrary width and depth. -todo: architectures +In classification problems the final layer of a standard neural network is typically interpreted as a vector of real-valued logits, one for each possible label. The index of the maximum logit indicates the most probable label. However, if we interpret the final layer of a $\partial\mathbb{B}$ net as a vector of logits then we violate hard-equivalence. Instead, for classification problems, the final layer of a $\partial\mathbb{B}$ net is a 1-hot soft-bit vector, constructed using $\partial\!\operatorname{count-hot}$, where the index of the high bit indicates the predicted label. The soft net outputs a 1-hot soft-bit vector, and the hard net outputs a 1-hot boolean vector. -todo: multi-label classification Define \begin{equation*} \begin{aligned} -\partial\text{HARDEN}: [0,1]^{n} &\to [0,1]^{n}, \\ +\partial\!\operatorname{Harden}: [0,1]^{n} &\to [0,1]^{n}, \\ {\bf x} &\mapsto \operatorname{harden}({\bf x})\text{.} \end{aligned} \end{equation*} -A $\partial\text{HARDEN}$ layer maps $m$ soft-bit inputs to $n$ hard-bit outputs. The $\operatorname{harden}$ function is not differentiable and therefore we use the straight-through estimator \citep{DBLP:journals/corr/BengioLC13} during backpropagation. +A $\partial\!\operatorname{Harden}$ layer maps $m$ soft-bit inputs to $n$ hard-bit outputs. The $\operatorname{harden}$ function is not differentiable and therefore we use the straight-through estimator \citep{DBLP:journals/corr/BengioLC13} during backpropagation. \section{Experiments} @@ -370,7 +367,7 @@ \subsection{Noisy XOR} \begin{figure}[t] \centering \includegraphics[width=1.0\textwidth]{noisy-xor-architecture.png} - \caption{{\em A $\partial\mathbb{B}$ net for the noisy-xor problem}. The net concatenates the soft-bit input, ${\bf x}$ (length 12), with its negation, ${\bf 1 - x}$, and supplies the resulting vector (length 24) to a $\partial\!\wedge\!\text{LAYER}$ (width 32), $\partial\!\vee\!\text{LAYER}$ (width 32), $\partial \neg \text{LAYER}$ (width 16), and a final $\partial\!\operatorname{Maj}$ to produce a single soft-bit $y \in [0,1]$ (to predict odd parity) and its negation $1-y$ (to predict even parity). The net's weights, once hardened, consume $288$ bytes.} + \caption{{\em A $\partial\mathbb{B}$ net for the noisy-xor problem}. The net concatenates the soft-bit input, ${\bf x}$ (length 12), with its negation, ${\bf 1 - x}$, and supplies the resulting vector (length 24) to a $\partial_{\wedge}\!\!\operatorname{Layer}$ (width 32), $\partial_{\vee}\!\!\operatorname{Layer}$ (width 32), $\partial_{\neg} \!\operatorname{Layer}$ (width 16), and a final $\partial\!\operatorname{Maj}$ to produce a single soft-bit $y \in [0,1]$ (to predict odd parity) and its negation $1-y$ (to predict even parity). The net's weights, once hardened, consume $288$ bytes.} \label{fig:noisy-xor-architecture} \end{figure} @@ -418,13 +415,13 @@ \section*{Appendix} \section{Proofs} \begin{prop}\label{prop:not} - $\partial \neg(x,y) \equiv \neg (x \oplus y)$. + $\partial_{\neg}(x,y) \equiv \neg (x \oplus y)$. \begin{proof} Table \ref{not-table} is the truth table of the boolean function $\neg (x \oplus w)$, where $h(x) = \operatorname{harden}(x)$. \begin{table} \begin{center} \begin{tabular}{cccccc} - \multicolumn{1}{c}{$x$} &\multicolumn{1}{c}{$y$} &\multicolumn{1}{c}{$h(x)$} &\multicolumn{1}{c}{$h(y)$} &\multicolumn{1}{c}{$\partial \neg(h(x), h(y))$} &\multicolumn{1}{c}{$h(\partial \neg(h(x), h(y)))$} + \multicolumn{1}{c}{$x$} &\multicolumn{1}{c}{$y$} &\multicolumn{1}{c}{$h(x)$} &\multicolumn{1}{c}{$h(y)$} &\multicolumn{1}{c}{$\partial_{\neg}(h(x), h(y))$} &\multicolumn{1}{c}{$h(\partial_{\neg}(h(x), h(y)))$} \\ \hline \\ $\left[0, \frac{1}{2}\right]$ & $\left[0, \frac{1}{2}\right]$ & 0 & 0 & 1 & 1\\[0.1cm] $\left(\frac{1}{2}, 1\right]$ & $\left[0, \frac{1}{2}\right]$ &1 & 0 & 0 & 0\\[0.1cm] @@ -432,7 +429,7 @@ \section{Proofs} $\left(\frac{1}{2}, 1\right]$ & $\left(\frac{1}{2}, 1\right]$ &1 & 1 & 1 & 1\\[0.1cm] \end{tabular} \end{center} - \caption{$\partial \neg(x,y) \equiv \neg (y \oplus x)$.}\label{not-table} + \caption{$\partial_{\neg}(x,y) \equiv \neg (y \oplus x)$.}\label{not-table} \end{table} \end{proof} \end{prop} @@ -446,13 +443,13 @@ \section{Proofs} \begin{prop}\label{prop:and} - $\partial\!\wedge\!(x,y) \equiv x \wedge y$. + $\partial_{\wedge}\!(x,y) \equiv x \wedge y$. \begin{proof} Table \ref{and-table} is the truth table of the boolean function $x \wedge y$, where $h(x) = \operatorname{harden}(x)$.. \begin{table} \begin{center} \begin{tabular}{cccccc} - \multicolumn{1}{c}{$x$} &\multicolumn{1}{c}{$y$} &\multicolumn{1}{c}{$h(x)$} &\multicolumn{1}{c}{$h(y)$} &\multicolumn{1}{c}{$\partial \wedge(h(x), h(y))$} &\multicolumn{1}{c}{$h(\partial \wedge(h(x), h(y)))$} + \multicolumn{1}{c}{$x$} &\multicolumn{1}{c}{$y$} &\multicolumn{1}{c}{$h(x)$} &\multicolumn{1}{c}{$h(y)$} &\multicolumn{1}{c}{$\partial_{\wedge}(h(x), h(y))$} &\multicolumn{1}{c}{$h(\partial_{\wedge}(h(x), h(y)))$} \\ \hline \\ $\left[0, \frac{1}{2}\right]$ & $\left[0, \frac{1}{2}\right]$ & 0 & 0 & 0 & 0\\[0.1cm] $\left(\frac{1}{2}, 1\right]$ & $\left[0, \frac{1}{2}\right]$ &1 & 0 & $\frac{1}{4}$ & 0\\[0.1cm] @@ -460,19 +457,19 @@ \section{Proofs} $\left(\frac{1}{2}, 1\right]$ & $\left(\frac{1}{2}, 1\right]$ &1 & 1 & 1 & 1\\[0.1cm] \end{tabular} \end{center} - \caption{$\partial \wedge(x,y) \equiv x \wedge y$.}\label{and-table} + \caption{$\partial_{\wedge}(x,y) \equiv x \wedge y$.}\label{and-table} \end{table} \end{proof} \end{prop} \begin{prop}\label{prop:or} - $\partial\!\vee\!(x,y) \equiv x \vee y$. + $\partial_{\vee}\!(x,y) \equiv x \vee y$. \begin{proof} Table \ref{or-table} is the truth table of the boolean function $x \vee y$, where $h(x) = \operatorname{harden}(x)$.. \begin{table} \begin{center} \begin{tabular}{cccccc} - \multicolumn{1}{c}{$x$} &\multicolumn{1}{c}{$y$} &\multicolumn{1}{c}{$h(x)$} &\multicolumn{1}{c}{$h(y)$} &\multicolumn{1}{c}{$\partial \vee(h(x), h(y))$} &\multicolumn{1}{c}{$h(\partial \vee(h(x), h(y)))$} + \multicolumn{1}{c}{$x$} &\multicolumn{1}{c}{$y$} &\multicolumn{1}{c}{$h(x)$} &\multicolumn{1}{c}{$h(y)$} &\multicolumn{1}{c}{$\partial_{\vee}(h(x), h(y))$} &\multicolumn{1}{c}{$h(\partial_{\vee}(h(x), h(y)))$} \\ \hline \\ $\left[0, \frac{1}{2}\right]$ & $\left[0, \frac{1}{2}\right]$ & 0 & 0 & 0 & 0\\[0.1cm] $\left(\frac{1}{2}, 1\right]$ & $\left[0, \frac{1}{2}\right]$ &1 & 0 & $\frac{3}{4}$ & 1\\[0.1cm] @@ -480,13 +477,13 @@ \section{Proofs} $\left(\frac{1}{2}, 1\right]$ & $\left(\frac{1}{2}, 1\right]$ &1 & 1 & 1 & 1\\[0.1cm] \end{tabular} \end{center} - \caption{$\partial \vee(x,y) \equiv x \vee y$.}\label{or-table} + \caption{$\partial_{\vee}(x,y) \equiv x \vee y$.}\label{or-table} \end{table} \end{proof} \end{prop} \begin{prop}\label{prop:implies} - $\partial\!\Rightarrow\!(x,y) \equiv x \Rightarrow y$. + $\partial_{\Rightarrow}\!(x,y) \equiv x \Rightarrow y$. \begin{proof} Table \ref{implies-table} is the truth table of the boolean function $x \Rightarrow y$, where $h(x) = \operatorname{harden}(x)$.. \begin{table} @@ -541,7 +538,7 @@ \section{Proofs} \begin{equation*} \begin{aligned} \partial\text{AND-LAYER}: [0,1]^{n \times m} \times [0,1]^{m} &\to [0,1]^{n}, \\ -({\bf W}, {\bf x}) &\mapsto [\partial\wedge\text{NEURON}({\bf W}_{1}, {\bf x}), \dots, \partial\wedge\text{NEURON}({\bf W}_{n}, {\bf x})] +({\bf W}, {\bf x}) &\mapsto [\partial_{\wedge}\operatorname{Neuron}({\bf W}_{1}, {\bf x}), \dots, \partial_{\wedge}\operatorname{Neuron}({\bf W}_{n}, {\bf x})] \end{aligned} \end{equation*} \end{comment} From 62ec548b9932fb04a6331b5f8b00bad1ef8196d7 Mon Sep 17 00:00:00 2001 From: Ian Wright Date: Thu, 23 Mar 2023 11:12:23 +0000 Subject: [PATCH 067/128] more --- docs/binary-iris-architecture.png | Bin 0 -> 42719 bytes docs/db.tex | 84 ++++++++++++++++++++++-------- docs/noisy-xor-architecture.png | Bin 34875 -> 32025 bytes 3 files changed, 61 insertions(+), 23 deletions(-) create mode 100644 docs/binary-iris-architecture.png diff --git a/docs/binary-iris-architecture.png b/docs/binary-iris-architecture.png new file mode 100644 index 0000000000000000000000000000000000000000..952908ba7158d9f2a2f78a5e195fa4e5194e8ade GIT binary patch literal 42719 zcmeEuWmuH&w=OE(4N8k32oi#HI1&m-7z|w^sB}n|gmfr^AT5ZXLnAOW3?;3=(4EpH zUFR7De{nYdv-h|2VPBV@)a#w+UC)Yp-RoX&fQr%`0^CcuXlQ5za(AU4prKuGL_<60 zhm8sTX8h&~3=Qoinw&J`k)!THJQkdyZl^v+-u=uR!@KQhs$65=cn>`OE8x4x4fF#mf$ReM2txn|tEzdsThK zGc9E!?4lz}5sWJ2GWY*K_``0{uc`B7BNTa!gUs7K&$)T-1x&y*uL6ky<<@c||K=E( z{Jm`^v+e68YPS14U31znDz9Izgc4t!xv(pnFPu;1`c<&|5C+ZE&E38HI`_J8!ShaI zjUtPo=_1pfrLtQi%O&5N=3c+Mt|ie^VmF@(VaYXTyJ^z(Om%N_k&1|#XY}IUumufU zU^3hAkLJT(Zffw4rr8y{b7`!s&@Aoe#_b8^u4(c1yXj8r(~14gezsCK5HTS%g3jqi zFiJhM(uQ}-+V%~_dPA!%=<7X2%h#L~-`}j(c5I$y*ms5z=vj7rk7`NwcgU^tu z$>Oh`S&Yo%En1EU8a9OL?0#boi{4qE3F>{9yy7mozfv=uQ$x7d$BH4jIp4E<2wpm- zw}aI_(Y#`3x_PN=U5QF6)KqG&nY)sI)73JoY)zi;+4rQx9vz3FurSdjcu22LGFxD{ zQd5k8`R>|mTH+zj)hE_#RTqdda_Hi-%??bhyv3fTeQJ$yx2v+=<8*tr^ytm4R5?Cl zWqz%t8*?K@AjY_ zs|D_k2XVJ(JdHOhaagWsI&=}+LwRpU1HF_Vp-zbj@>*N<F0CKAh7DM72z~xT zm_X*C%SLbz)H*N1INrX_T2J742epIsS6e;NLbI;)ALFx~X_epTGWku{CL2ctEr<8# zZ%JZ#Z7vQ-mbXjnxmKF>-5@FYYSI+JUcak3T+JXrOtO1xel1E7S^I&;=Xit?F=v}bCZ zA1q!k%4w{~4^(tKazm=B1*oUW++721T`2EodMz;dBejdoVHcuU?Q({C?)kS{YBsU1 z9}S}j+e1V*h$L+vPrkJuoGH?ah>RR+8ji#rEEupT6>p2bmdI~02tVq(vMeBwa6d+$ zZ6d#2f@6F#h)3J@dlDopZth+cOT)sh(zjduZ-O>E9^6d3CT*}EEg$0&b@6jJ+e%~EGrf`>2DYzFlNC=sXN6q-eXmad2(pWV>9`Uio5*R0}_Uj7u#cgu}C$&1NqIwo0$02Iln%qC6KPlrR0vUE|`@*y+re%6eWETJC#^5^jVJ zA6>gz-t#H?5z-A$qCFvq{pGqhXxkpJz0F!SQtqSacCKc?XW*@5z=%i)A`9T z{~P=rw(YO(9@Erpp^5Lfbmlf(Gs-fQUl8&g39o#v(TiVk*UEx_z#gB-a1c};a3Pb|WT^KD;>P6D=S#S9J2W5My2_!-DMmxZ3 zw-`cyIh+xdTG8s5L{yHCc2T;vPOX|FwjCtT`_IP^uZ$OZbGh2!-bKw^rSKyn8i5wE zy@mYWhuKHjj@|Q5!v0T(Ve_eb2yoTX-vipA1JzY zT^5Z1LP(P0r;xcHVe{Yg$mNQ?tXOZqo@{w3UwmHM=@ydq>$1f?(Eq_L|J+}17Yw;{ z^M>Hii?4)gehSeN=kv%g?a7+n z9I&JUFTPTPi89`cs{h`_i_Cs}+j7Y?R(?jJ)hkKvo z-m*@=mLjy)V!jv6Qyr;RNaD?O0x3pS~ z#Sj-({BU`=yfrP+{aS)ruub+*QB?{G1d$5Oe0ew392M)w;2uq+roXw+H=P{BHC_|> z|A=y8sf-G|$L^KZSC=Ezbghr{@}2|;&&1ibe2TT0oBmn8GaWm=97M6NKBV>I3+k6J zQNIM7uI=C_gI(AC>AmI3Y?VTrDS6vrr1W-4q0JkQO$C5Qn!Os7Waj;BH8mxL>r&&-Kv4(P?}y1KMcY(58zzW5g(d`M{WVT#)yd>rAT zvyy{kusu>k1s>XrcENd=ogGM>h(-)4K4sx4^7R@b$(2MkxuxQ>e_$&v3p%2CKujKo zCCqjI=dVs>hwP9yya0V?m%dedFR}ZRc@_NDIy$sy7hzH`Xb7AswRS8H1}$5yr!gL~ z>&bjQYLJ3_&-ZjK5vuT?eySZ!O+(ybL;JPDFCnh`&$7!mzvK|G#2m=r7lq(V)hH_f_g~;lL-@|XI+d_`>a_3|MpZC zbb#^G77a~25xtl?ZJ5@|!zBT1P0j0H`^!e7Q5Tbpx|ml%8DGu%I<#FD3zoKnxGSDv z64I*c`ieW7NG&b9-8rjpE(=p>Dkd3%TJ;Q+$WLy2o705@7Gy@&xbELZmY}woG2g9^ zjWiku(_F)$_kG$HE0}$|uV}>Gv_6DprpbUPJ;}n&b0w#I>9}< zF6Mwyp%#4Ld-G`iJ+M-v4OsycqoqKLAybW-tW%Y9BzC5F3F|KMNnilH-oK?|Xnw~=+ZtD}0M6rDZ*&t@D#xH2X8uVoPp#o3_ z4f7TZRPKBZ@^Jij^la$a7XDa(d+ zqu#wEhn6@()@x=@-TkaSugov*nVld5=PmFkx3$Kr#@}8u8MljX@vqOcQ%zapxc4%y zenq}ro1YECRC3 zHcqpor)S$ZS%aAC+Ko6o?B8v(KFe1;glH_yv0cMy{j}T|Cc{P3nZW7x=JcbnSabHy z#L~meg!#@9L{Kk(g&5Qg;U4O5E>}A0G)yczUnlsab z^0UVq46rxaDmb7FQ10hcU%T~qs|?Acodg2u$_0Vv@dg_okYSMPq-6lRM_C%{Y7GH2 zv3~>9G}}eZ_PGg0THJ~M@O+`~bLqD@Kns z%ac3wtLPT_ndH4~bd61atDFhPV* zU;A96S3{gFPMgG@S?5PNvNyG=Y0j*UG+O0UK37!}iO-CvDs|Y?9sQf94@7fVwxS|( zSVuh--3e*phkB|i?q&}P_v}?yPRE$S;lraFxc%o7a1d|5D4%)%4+*CuTZ?wDQ$6xN zxiw0Cdiv>!Sua%4#o=w5i%%LS;-1k~y?xgok#_@1tkWn%)gd7ZI6f-hDv&m0IXe|CnRfy6s@Bg}EN$lQpSye-$ zuYIV*PAd;oEM-~=SI50ut1&K_p&t!V#Rf38Ls)5rQaq;Tvt<^~WveeXVLc2!v$LyX zlyhQE7wS(HI5iv2W^IkhP%pFc{fNL{Cfyl*3kEg5Zo=mM{Ct+fV)+25EYVXD=&qyC z4jw~RVZRASsQ9M(h-?G9@UGT%oJn2V{rBnb!X$RTwZzF8bYx}efb~jBa<^rWzj#)Pa}9iNUO>Z;aq83}-|I}QiL-h$ z+2p^;#F`iO%@0y3d3hYJCw>AXezQ4^tW`?HFRw-7cbXexUP=69VlR;rM{QUS1J5*R zs@c;GW0gv$(UZ6l@nUCE21%!pXSw`vcRtZdPl$b~d`q{p%*i&x_JbpW7wWKDO}l@1 z6-AX!fuOEH-sQS`WU*D<%qC}!D>b&~DGs}2hpGz!Mf z%QP|$5-8Dr^`uGtNOq4h+v4+6_hm9vV~+dGqTrhe9oOB9XJxA$@*5o3X;@uUrw@Hk z`=|o*W%3h(CCsaY{Z%0kI&kVM)da=7M)r=`%ke9)SyvvTvxBn!6BIAwk}ZUe_%}J( z{dNfg58Prz*`a!9v=%}Gzc0V5E{N?Xt1qFYy5f?EVu+>n)f;A@rZ$kkv%@j?Y6ju7 zw;gCojvW!b0m~qmf~DC?P{{f_rbR@!1gplu8zR#E;o}=qMf5?7)~d;w&O*J)BYduH+zia)Q9;VaFVKlcp-y>jcAT8Km=>Ye@|Nc9o@Y-e^9 z!lv4|MtNe>H)ixc0WTC#2Be2a=qpE&q#$Fz`oAM(656|7wplimO4>)}) zG#?;vJ8)L~KWB9Y1?N5}IH!iK*?>;$=;NM!Q7;XkiI_hKE|UND09o{I%&Hu9nZ`?h z+|*Anqj1_=wQAW7#bc=4{6&P|@K~I6{CsAQqI`~;%kc&S=lK((O6&8|n6XtdQ?Uik z{ILLGVNT3bq(9!5m%qI==~A?rod^S`^_c~a*K2(MQ#kVe#VVO9MK7z|+%Maz#1_?^ zF?e$dAftaVYJL~c`|-X)6xYq}_Vxwd+g2o(_6WP}mY9c&>|J?S@O5lkZ(9EB%b)Q8 zgwN3k<9=I2h8a!e(opG^i#HZgMYjY!G24A$%j6x<%eNw4;kAOs1D^ii*kuWgHR+nL zV4kPPttvy*K{Me=K7RqJ_CB%1YCWT;ILnZuG-VQIm_f3ZLbvz=A{flni_p!;G{Sm1dVpv*Shfcsf5@M2nF5jm`V zG30;|d0Dj$_dw)H%kHPhE_MR+5ee@^tSZ7j-Fxp<>Lj@g8pMHoy;LabC4S8zn>qC= z1`j;?zdko!F5k*h8AdU$Q&Dm-Ag! z_{V^%0e>2uPJhFInAIMw@qBihV+iu2R|8zj=emOkC2f!oAdN#8I@8+MzP8u69BlN2 zY^+I|e#UbNKG#xRqg^()g!{qcZDmqyAiAYDfq;55>ut%Mh{35>SF-Pf(KmbS4UBY8 zx4|BeEMfKpfZ^g0r{>ph2Of>#EYpX3%iP?1)3KKKfIMN4r)};Qs*F6hO-9nW=1`s# zkw*$v6k8+Ekm4ltzrBL|zh1$2R+7XgMVM!qQ2Vi+!;an~_XQDH5H9^4`G!zBy`yHm z!!^E!tJjZ*=Kdtihdp4Xe0Sz*H`-E*fvRFgmIm49yDQyb{9jx#*qV8dI;*&mHMYfg zL_P#%cx|^08u zoeLMc;^4B7+pq;f(CJ#bt6hgsb-da_m>L;N;%H`mn@Hsn$WrZzZkzA@bGZ?5Wm!6< zS^c0B>oGc#F91hxV|-tuvw53`XxW#>f`>ybE5oYn1}aNEDA{kDbCOV3_;cg|jq;0K z?h5|CxBsBVxGQd`A;l^2&p;N7WpE=3tMW)v!`#sBHN}W(RkHTX#c5H<$-%Lw-Zp9*(qsKvc!KH)Mg#n-@d0E96{vDL~pdEe8wf+j_qt7^It6zDrmph;`z})d7 zcDrMXMI)3WBqKiJJt7WE`xo}qzC7`#aPa1Mi4ntkFIrzVly+tmQwvQ_n&*vHm{vrxDG1YU$Eio-G4^rU1b<^W@wRSY!e!( z&k-KNU_a?0@o@RP&LNfj=R6l;)@emJW5Xv%?H-kE$YMmcX32}s+o9X6jy`Ie*^ipe zK^zSNORH7amP(gn_}YYOek~6498}mZ^!}i=t|d7pLM1cF95VwIAIg*5qi$Fs!oe=wm zrSKP^wYK?Z3JQ4H+J1Evk~&!(*VqV9&*=$-a-zw6UwP2@@FHYBF|QoOROu8qzP%bd za=2M!K}es#_u{9DZJ$xpMYHlZPY?HZ0NE;FJYZgQ-O;{vvOgt)#}9K1`SS7D2{1_b znzLJLLQNHccD6l|6p3}Qb>8Adgkvq!3FI~;i#(Tdl|;?WoKiu*E`f~@b)-%xzON#c zxEE*J#+#{GU}L@b{e$-aysX5Wtg!bnUerDkqimB~@sT{i!X6*Dzp=roB?8eD#6}vi z6wv-a`+r*k=VeHK+8TuA=7RantIv8fY396793jv!p7GvXj^x$dPwM)qPT==lfb#9e zfLVUXdkMFaoiRTKxcW;`H&m6|wkk*>z*u}FADo#vJnFsSa}w#7pV9bCY+~6!F8qaq zl|ugkA}sZD;O91fB047Jot;Fm)$S>hjqi=2)FT`gbL6rS6idqSiONkwqqwdhCSBQV zzWaLFv$NEvK(W@Uoe?L1`%N58#IVWpGtG>N3FB!S^_HKbzU1R@TizhCqW^LQLj_87 zQeO?_?Dbn`MIFAv$dk| zA|BbKB3oT^d`L!!j;Go+qnFV)jU+tra7Qhy#*d*2f3&_GA;A784tsfYjZus#0{86W zqrg3WV8MQlCCP31G82 zjz}iDvwtA@Gtv)AW8)ca0*FEzVy+u%b0Ui2Gxp$G3>H(gOyj2|~{NiE~v>YX^++E@|vH^L2@{ zATNL1OAS8p<%{PB9PSl4SAF4)RK;-cCc`oxm1QTu+w`usslH!x;zK_7az!GE1kR3C zOnnbnfFsJ95gN72q)hqn%nGeUHKIlFvj64e6Ot zh!{256@{kE!pEuLE`Fts@L07kr{*W&%5`r1LO|7p_UGUYcVSyzE9jIrPpXkj%K`Mx zdiCF$tgCnaQHrj%NI-<{D6BHH)YQ1>#0o1Dc%E7Yjk)HK!e_t+`G+C66k3`QI_6DM zePWkdeU_UU>AnFu1h39Az69j^k2`**G+ZiW=*xo8uG*%URR5D-NU(Jz9=57BS={*R zem^J^bM1`0!@GRK!X#0H$qb`JG~<~LihhyIht8cvR9{(aAw&%q?=$a7mT+mQfWUj1 zC|6Hmv2_*WWIek}|YU4_)S9J7J%&`zJ; zLrTBQIA2zc7yjqw0 z>JjgWZ!KS}@m{%%pww1jFtf;A0cvBNMz^t#Id&)k&SSfsj*oyR@avnL_v339Tb}`1 z!=M2M9Dt5z$B^mB2Dtx7@rGZcx5&WP=j-C2m%fIv`@x!kg!+n;K=HoF-6gC^ zIoQFreiy%Kw^=<(V=B2Bi%!ORkH-{Db2$b-Q8!xplnPVT{zaevD}72B%VH6fI=*|L zd5;hwGb?}Y)HF$@$jZ#aFuco;kJ{ozJ>s8md6zhE%xy>kJv-4+rtBsfpH#t{pb7(JHbyKw>etR@ob3Y}hUK+r2t?eH24O&ezLz zZh-Ylz?m^`d}vW1$?)g~p2(DXgat7b|7p;q#f3sG)#Ix%Nb)^^jJ;BLwU(^X-}KAH zD$_*gxz9(Y$S+6-D3&d=ye~@E9*pBfPzOw5yg-xpa)9E3`mW#-ks4EU=k|tOkIvS^ z!J3<^yKvhcKoBtO{hGBU6})opHUC7RsK6~{+%tVDSpV+u9#j#2tC7C}t5L5i6aU0$ z5AmT{9@TR88@?H>e|oh!V(Lvw_fCTlT4?rdN=7Y1-4l7!W87W_ z|J{MkyFEcU-y-vYO;7v9{sY1ENh#7u5&MPh%EN;_!#a+PdtEBD=5~?{!6av&Nz7O^ zMk*x27aiwF8wQ}S!ATWVW^eUc8Lzsoopj{_kTIc(;AKpQB`YlDfUtKE_>Bj-G|+C! zGoO1;{}+a=!4=+D5IKfet?T%Rbyq2-6L^FB+{`W!Ipo00 zoA=K$r)esVdGr3oDgP@ih6TKbxCSw>x%0H*x=;&}pQOb!e6!peyx4azM!6C?Zdp}C z3V~kr+U*<@R%rX9@iZM`rEm0A7`$g@+b~Z%ka(Wq0b2I_2|;@o`}BV5BO&l1c@8d> z@K@`Z$Miahm)r8C$IMF^Hl9cVR~}4hQt|@&-JbaAFD~`5t7PpwS9M)K3UAdvZ1s5` z6?11=k<5dp=vV<%`>#yQ%fpOK)u9p*vz>yh0V(^`{v=PeT60a>G33`yU*@tb##n*` zTqono1_kaE<`V^a=CEAET@-2%5`)6tLhkN-C8>zkPp zMJ6>Esq*vPnMD>oSwkI*fH~ZWcNl&SgoalicYogn!nszk@M30BGRw;6y1kOERcKbs zbJxOd_G4AuI^T|di@*9FN+HJ5W&wsfyI{C;iSqO=swg1QacmnG0(b>%YF%n@=-mgG z@exK=yiYC!^^RKN6*tali%_y$#`%)X1>aFNPRkvLF4cw0L?C60#H|bZ%=Sj2=NZZ# zMaZxmtKR?Jg8AIT4PXA)6IF_*f zR6g9nRNBl9rK%(~hB21)R!UH@5fII29p{X|kLJX~khvNR`Any_xoSpQ6OHImyFyI^ zWcjGNC2Rwi-rE!6h()n1L;GJ9y#Oh)t4jQ+!W2Y#ozw`Wp%tD8=4$~2BGrA$RM3*$ zL5GUSVu@4WG5rDscae}zB*XD=XGSKtBMGRrTEAM3(683ZcUHU%x&ZHuCBK|?++hW* z%`?(s^0>ErygKvNGCQOW-7<)Akl29?hUK-gG{l54^=g!hA%Oww zzrus#DuCkFDSOjm-3MUFM3dP#Q&Tee9OLqRPZCOk;xvtTY9XspKQ$e@NPp!Rl!!AnPjzECYq{!f%puJY($xwSXfFkZ9JY<9eSKCAQ{L$fI$mmQ2U zwTdXS$x>CYoWjlr!~I=CUpz6(Yh)b&n`!#UJfmi5*N!VKRAyl1XpND@I-5mZkql1hIfAsFL_hQOEb2BTT0*1yoHMBkzjA|$8fu&G24Vlj}Rd|tDgJvtYqc*m$6ZG9a zMbKTZz#qYVWJ7_`jzeujA~838vz91zstvE$GZ)cXh`g|vq2K!1**f^^8^!p|aq_v$ zXL^lHf5jlnwZ+^9`W@;Xc^dPtZyZC|B4JlevTz>oOS*NX-}exm&&ZcH>qzG{tk0P1 zFW_j4lJIm}4Ob6Pt?fj$f80zt{-8|z*?2y1KFJ?nuoDXVV~MV9_>zeYUaZ?gW{mc3 zLL6ZgH)PeX<0tD~)4T$ydp0v-Ilt7eW3$&c)j;n$L6|?!P-v^gI=I(##Q`5L@5N$Y z-LJWU8Zmx{FOKo>e`gMsYpscrBlxsJ-%*?zSa|BKD^<(ZUE(!eZxs|g0t)9^Q)%|D z_URyWt%1=c9aXK72-?kq?KRX=5Ew(DCKLwc)Cc3hVaHtCnhNg)l9DK+y8R02s!RCm z8A{XVQ~AeSIZ%V#N8%bib196wPcAoGdHGpyQHN{5f6U52J+3>ph#A?TF>r#$5UCc{ zmbfHvvtgyVsmZEgsfujtx}^Qkg{WvSU@vxC-(H>|J=V- zd(9$LeWCX|>DAA+8Ciq~VW%37eHob?9=!TlL-!|-{I8@}#Ow}+Eb;lfEyD3HRm_%H z_#2P$;!lXJ__)=M)U$jI1B%k`%yThmgaZRzuo&+!A_#XQXF7X}7L3?Y<C(2YqcE-^5Uh=-0uw4K zKIdQ0_<%-bwa6M9a7QHiAM5N~c`!~yE#d|auwsZSbGkHV3MHu(=hr81SN8WFeFo#N zo2!E$G}0bb?d`lqb}{w`{gOX_dI9uthBrNluCdg#L9G!O5*`aL@T&YX}Vl0YQu<8Rc3fYPR?u^O>eOWpPZt*owgKq)D6oFxlNQ1OL1 zn#xy30@K#>!43XAXFh+6c5;v(Q&6=%Ljqp8&E#j_XIZ*dStB2#7$d;jkRYj4CL7mO zAoIrmt)VueOrcAyZzb;Y!?cpTf^JQP2pRS+$YDOv`_m$1r_=E?%?pq%ZKBI&g+umQ zo#4N%O#o47siSU06Os&LMso;(_3%XH_MI71<2nw4MD;%Nt2VIt~tvyaG;*>rQHfmo;-CS>w+?gcHM?$rVZwwYp z&7j_XcwVZMap8qwK@I=q-&(C-_-56-?}=nzg3IW)ZlD|5vjyw2fq7S63FPcxq6K|E z?x2%DlAnMURLRo<#q*f^QgsQqZmCW=9f=|591KbpM)~ayN-}fM)M6 z+6{frFqt6AfVHOyPW6!vKfgnc?_+qrW)>nwxAgHu1mi3l%c$MzYRJV#O46LZfg1Ug zOTN9TOlc&CYp%bJ<84lyLwCMVM&$wiNg_R9!^Q0<;c^jM;NgwT!7H*O`JlEVR!?WKRg*6a!WR)z0haZ1>Nk0AOOPM8A` z$yze6!mtBua9z6XmXdLoJu?SwjaBQual@;*j+D2>V`I&ArnR57hXSSJXeSY&+O*JDR64-0{Kl!X#XDP>_o=p<*X;M=@>yh&Uu=FuHd)la zTc_F&l838dQ*Brq5(g_44z_ZeE6lPnwnentFL?8`nV@DHs=N9fSQu3igv%y?TQT7J>>}^otO{Z8Z{z7xAm+1gUCTp|k=jas+q3 zSLVzqH<+TJ9LZJ3Xpf#eJB9U?GSRw`$Ip!Orxl01IJ7BGFO`=I88J$5@kVW&egE@u zClLE;Aoh=UtV|n8phWA{5vMsPPEx&`mb{WU!QUuO6K?gv2~6W#z$(}@*RMx~F&5h3 z>IHQR50oSz>0{t31pda@4Hf9Oy?QDhilVx@7I^2T;LOO2 znCHk(slsb5-q-f&rpFg|{j5A+nJ$&8mnmuAc0(dfI3Gn;tu=Y zX9|@31c>zsY_7ZPzvXU_cF5x`SK_QB9sJAhtbYPF(~g-phW~lENA~ds;O3BnUOs3I zODODjgzs~xSq_4)MO2x1h-5jUpL*h`17zF#!^hYxs6wW*734bV=>1#Yc#V5ks<}Sb zn9d;6Gu{-h@6Zg5XbWs;ce)j1Ep1PWnsMqfD^2yM+^ucQW%`A{dU6)GQr#m|zh zG_c=g@k)EaDX`)0ijw$7*P8iTUAGNYfP7wwT+<9AzZX_b|LUo&Cssse`DVXg-xF6z z6qgPZJ#ydp4$I!|2ukD|hRITqdU_pS&ehzY!W;{@Cns6%y~3rdlf4jdh0Q{IxBG=P zC;RU`K>#6QP{qAuA+I@D{4;zDdwpfw>5tvJ5WX8bOq$@s5H~04Lu}VMGkJ5%6&t4c%_|4ZiIf2Hq?1#7npf86EuQ)oE0VGk-j)Mi113STdP~PBIOivHuR|_Pbou=_wyfl#RIhQ%_*ndOnvGcsaS-8-dFfr zPi?p3cX9)(xu291B|bfEPe|sJ18riqZ+XUHBbGSW7(q#8qnTa#Gr;;>zmrL8cW`bScwd~HPFh;8lIEQF9(<9nsd9^R9}~zsM8{EyS?`gy z@rIYGDc6dBB4?cDmHI#m4l7#M0v;2%Js5?|LP7q^zeM zbHOh3B|#dNlRTaImJUVY=f57-o0h8bb62j5t(FP>UZGYBwZ@g&VpWQJhSK`vgAI)s zfTr4MUwl7aFC_J#@dH(md&pyx}u1FIqiJzxiF!&vHCb>uzu5?V2 zX1I@H8yJbn=YxgPSTJTO!4q~EwD!|L33>*EP|a^boWX{y%9hMR2WA?@Fn&f@8@ z8sL15^0bC|HAbLX@K@)NFE~_>y#6+GsZZsu*hVaT?NmyBOLWt;yQTHV=!|sc?@+;2 zwa3b4jr>MeM(347HZy?0aXK~d)LmE_YD?uee%Kg2$~ZJf#^Z_kbOs)C>Zxc&d?LO_ z1nA~iHWay%jHGw{&Md7RPP)`bs^a*V2&8jf2jNE zBG`lT3CUP4ndh<=%LW6@X0zNn%4rm>V^oI?w&HyIdgoG->^YtVsZ(-fLXcmLjQ(IVvEr^CP~jv~CY zj7Rdq6wpyqqM*U+BTldyUt|Hk%(T`vl%bI??WEm=)SzqE44LvyU;X@0EQgHDvfzq`3;3X%YaE{FWo z9E>Qs-lsT(rF7N)o|WdC*Yv%R!mcW-F*=#LW8QxkZ`6MPpE&qYjs?D0 zL}K(Ed@|=}6BfaxE5|hJZ{tQj^D5FHZp&S@)`Q(f#YqE$huP+^izSsI=R2R$8@=B} zJTg3v4lQWN-F0&jrf(}BJT71?gT1>F&0JV(LQF*ra@qV_WeMIIUjjZq zarY-`-E+7UY|}jgx$OhJfF54X0Xj6MVfl9V=-11~j2e5@;yu(PEAj%zk-p(N=RML) zJpVgJwxoBo#A$u-I`l7&f6a>X8IwKA>-PmafxmaTZsCuv+o0j#jZDs(*hL_7A+u&` zU`}I=eRUTM3QD)eK*r2e@g0i=Ty`c$&1KGg6mt3I5s_hjGvJX>5gy0IBWCOwS2_kC z+h>=6a38Lkj5GWY!vBz}UR|8bhr?Qz*hh#)>auO#yuuj+YqQP-r zy@@4PuoXTO*Uua(lw4-ZPyiz29kye3Zk)s}p`7;!*+M6j4rLc0^s-)V2T+@}DG6+B zmabQ!Xg!UH+cdqd1o$|JHx}wv>_Pv&&!*J|#)T(rmERlY>|lvMx3e=3O*gP$2B4^m zKN#cg!0@FLuff6tnD&v#R7XndB`Gz*38e$?fg7I9G`9hV;eT#W_@Lhe>S;BOVTv)P z3U$rmB0#)tOeoItMfI^A%kEpH`+K9)({WY^91Ds%&kI=Z7!t*t@_w^1R1Fwox+YlU z&%CuSLZ8&s6_#go6Cv8`r;77F0)9b@C3EhM_7F zLv!a~dKhC*M>$}+7*leLs)oPzgkAin?h9SR>kN7rZ89rtgq zO!z5v4|(2Ou_Bd#jq+Cfg0IDNH*Qhe|I$_2uma;;nbdd>hQn`1V3sDWA%(LzhE`i8 zj9RM=-ODg07n8*zORR%pG+a7wZ4<1Z{^A3`E>m=nZj>e#Is_p5XKfv8-o`mGiRg*z zFfu&)i7g|U?>s5!fC=g@U9On-orj<%E@1T)w4j8XV)oPw8CY-{56$Wc^UQbChhaeh zy=6r++;tW{cgLJqaezmWZe~m0_7g$z1-5ga(@LD6@uCj)dpc_)cbK~BFcr|QIP?~d z&LtU;iscj|5lQ28lebY=349J^aL>EF7D#>7KH#t4h~)B9b>?6E~=xY0qz}R z+OK(qGVh{73}6S*W9)!2)=_NN$IOBU5hzU)_Sg{)n)8efmNCzev zQu4@9VQyN}%H7dJjZ*I|ePVkc4x~>^L==nnCK4-fQ+dJ43Caaig@o(b<9_kF!XBn6 z?QGTJQ}a~CISe~lq_ZBmbu}R`Qc-V)v>iIan!Q$vSc$@S5Mz>xneK!LC5;ZyP=C0Z z=-R>ZBJ%ndZ&5KYv3i!yv7>(L9F-(k^?Wm$JZA?Do1vfZ8b{~_(mlmA2#>k~HqWtb zGjcpwdy}?TQ1pLLTw;>^5a@W*Y#^9p|H@4iKI>xkW8Q(@ zWMbN@xAA$eUXbH;zv6-Ieo;3H`rUI!D82Vb3v+l<`il|R+m?5w!8VD_1>H1H2qkv5 zrfY-3$We6rc(FB(Im+Fzpg~?%>G)jKqgez?U1%-s>|$^9C5FG;Vs(>a2AwkM3oz52 z%94PGK#?Jr&yN&LL4@}Af*H$V{Tc>lns~Pe)wb40h5EtZLXLTy)DQKIm+_GDJUD0N zE`7MmZ=&o%aJNtl5hadq?SyC;Q#AEB5zkCGRVhM;J}&kxD5|&y6s=$d;8BSK%VtG0 z_m?-h=A@TIs%tKD>#1k9VL&{XDj%r}mIR1UNvPQXuUZ1i zWqyJ$4hjOCOQnrSh)`vr zEivJ_y116xE21x7356dUZT@Y{QmsB$H*lW1Rn*64a(tfsL?_Z;eATo>8l+yI3O+tq zD%_*4Ljn8zxNU=7N zvF){~<{{nao1Q=#bAp^P7OQJ5@F^fzw?ES=t)PhvM@vSg=@GL!N|^C_Ix&#VMgzYg z_0`n{L&BRTVA2B|hjc&uD7|`SY9VR7Omy(a4(pZ&etfk9pRyn0KK{59K>$cgEQ5^@ zH&vVLzH{M`{#@&5|bn<-KX?sbkr*m z6VmDDb-Bu#A8hQVF4Fo?m0JDaxR#UNk%&v5VjHr)ECF@%UJ(r~b#mfSrjpYQ2j9C& zy+iNxTiTvLVG6hxoAsO*{>I)fkvi7a=Nw>bm2v_ya^9`RLuK z!Hx~5VHiVwftMAw&e#{f=a`M?^;0P|=P)$`P!QYFiGTb<5ONFRI7L7Dad&GpilsC6 zC#Djo)5-xqT)hQno!?q8n+bfcK?>PgtstLXStS^ri=g06 zK^vIU|9LaqfisI=7<;+JFqEij*g+^PGFHMoGVXEn=>(HzcvumJqZVA4Q!bQ5g$cieH6FKpK3R zBuoaSVwr6MUxc*-0t^+boiNgtYQ%X(bzTa(0E8Q%^;4?miAqYJAT!$gD)0C&b6KaC zsPexhEt?i&o~15~hLx72Z#84eKZzhTh6TjfNb@|tJM0mk^L9rEE2%xGi4 z!c|G#qfbilbCd&Pm2$UNG>M5`E}E{;DelGKT30`piLZ(;y$wD$MCag1|D9wL5u(sSWo469X4x$(BRfj=9+!%Uq)51| zR3cj_dzEC%$lfxt_r9+C`BrKCK7GHRbME_```qW;pFjHJbLx7(#`E=@kLTmb7Pl|8 zHG<@}l`moH+@QI~tAohFkyu@wVz~Ronr@+nw?1e28Wi(sf2Lry%RbZQJd5bX4O~R1 zI7g(9JJmXWh_WM%tvihH(m*E}H^O3sa)UfK8c0p!H@Io^&+HUJVcftwKzQu-0C@-r zy)Si;sCFMUBxqZ;Z3E~;ovgg)#l2pnS@srvL5n!1LUysLC4zvYR$uwBY`YPIwr2vV zGTYbpX&#Gg^N<|ABy_jeq3csIKtEnT>eKO9{W1*9vHkD9T+L}LxrN)!c*Y*bg0QS^ z5Fp_v1XRv2#}MyA1blGd@OM{R!gwgEz{{6DcGfhSmBcL51ME8an<0_ zz=5zv*#)gUP=5*ZJ4&L0@RK+>`499HLv*Za5AREL^=Wx&7un=@>Xz*(HED6chMYK1 zv3j6__fcPz^Kf|G`!fU#LsQLPR)KZ6rrk6~rzlTbj7s#zGyf|Mei!I8(AbKneR5CW z82F~LHoM2k_lviQuB<(t3#fn8R~shwiBwmxYuB=u|AW2t0SdzPTgA7=d#ur;PwM0j z`-s?&9yGXsF;7Yv?qSkyFVB!PzH#d=lr-;2GGzs)c@HB1~ zZ#vBG*9~u|_yU)w>^aVAuM|CF`NIoKY#c-gl?x@Wb>-VD4-pE+lDFLe2?Zo9fE6Idqwqi6ZWBUBN zDukaDouI`{4$D{OWZBpMxfowRr27*;p}#4E>Yen5O~NgsT?e)AC!Nwy%GBf^B}?+= zPbibwJmKXP*yKmtS9ieUT?VzJ_E5(K8!M5dU8SWbnMDc8R_rzo4l@~Em}5&TC{sy# z)HP3wm$#5~xRhK>K&>ujg1fzgtaS){pGoVFoKw8HlZ;pLDkA&7_?Qh-l^pe2v%zE% zr%oAO&VIivTcto%@V>Mw0{SUZcNZ z*AG|Mw)S>)s}ml%bgdft&QY1}=*IS>;o{>?c;LN*2a%Nwi zR+5NQ&bVK(S^Mj_b%{5;YpWwMtMz_|Ti*oT>C`-u^URw~&*`Ra+Y$3}Un|R5+%qIo=71%1HFR{iT6|L zo4Yk=SF$f9%6p0B&PBPlRt|y{3h1$>N-e(qaAMYWU~g-T^%wOEN=CY}#$`GT6M;0# z+N5gC88f->EN@$V(bmo=Jml;Ak&z_H)WAk;SkpjAui4SY{JA!%6#*{^U)#g3qrkzW z`sy^s)>B5UA-tko=SI^ZD2q=OV=)`+7gH$ZXY6)Izo>depZx_AX?FfH27%RpjnCCE z3=>!?WHTXT)!jVKdbRSKi3*|v{pJ?w$bsY@&R(_MwZSG>Leg4urrunC)*_)_*6f=tRQSX2J4#M}@h zBtL2gQ*>X%s!(q0tJ3h{5HGxIv z1cyd?3CFYBVzY@sH-j4vUaeyYI;GtpQ}A*??*U|HRL+!jM{O>X(_VQOwE-=X|OI4gu{N!*Y>o>mln{uQF6Qvd+znfZbk5bxKf+iEPX=vt>jtff#LOR*?0bdx7rHg*l$o0S2&;97wBN8 zP1K(yIrB9sE$;wx@mn*G(hwvsldP4UxG_zE((Za!o}cI0IwTviv#ag|^yNIzEOHZO zN-gQdVjSnez|Z!ZBlJ0b7jO>~`N;z^j1wEq=dL#W<*xYvCnHuTs480yL5UqGGa%96 z-?!Lp^^OeN+vDu1c{!>Z%kx-&ROaCA!_3blDVZJa7);ai)0Zz*(3DeVe5j{+u5p`w z<9^16rFMm98KKgKT;~mO$o!t|lfhFgT4_J*f^nU6HRZ|dxkX}IFJ@ccGrlZ3{z=$% zN^Dw-H`KPLePp7^;6_h@b0y^11}l(0+xZSYZ}*4TecZWTC!9E(A2`$04+Y(I=(blc zo)ff8djr{AKegPJv77Ozy*zmbif1Wnq366O?S%-`Sh4&!Wy%ahuczj|#IDU%a|xy? zU2LmB8C=_0kMH&(eKZMeaJSQshEMk<2~r)e1l(jn+xjFheH@Vp&*ppFQ#{;vikE=j z>b&IRQob{0V_x%til-cpN7o1vqsBISIt+u3)JHzvm|9J$xt^GEfuYP`_k)%OB*I4F zLE$b>2 zyOn^Xt8ECHoW8`WIfH}-K~xqY$VJm!BGa-{+jRITKBv4dPZ-NFrS7#*w&3R|=d-Wt zSgs${`Fcgbbx~(LIN+_Ggz)5R?3{nb%=M($#vsyC>=4{UcXLNIA zxoBC8_sPq2@;Rm>ETQIv{>gnF5#>aolXK&ZdkX~S8OGV8E1Ah^qs2P0q=CZ2VMFj# zcm`W2ff@JHPCl-jkz}1{XM|9AJ&Aut(bTOFT-IzM%rq3*hWX8sveG_}j@m^ukty5r z(eQSu8SOUjduEQ4%4@5NOUo=xr$}{)V-w?@6l_>8%ue^VyrU@hUD5s))YV=itl@I9 z%X9UPnDnqahWuXDC->7Dg#koiuE%wnKcHXw>d?nW9ybQw-y6<0BVIp<1L){C`tL?8%l2E-ZRE)#p+{DqM!bl#VXR*<0ej6t-+7@G)W$Nv z3TBqO1{!PF8AEqMm60y2W#f5MxhMtqKd(5pRK(}R1UdmSB|wTG%3zW5U@u? ze>%)od(V376{O2EGOq9HC+FL+y}37fvpOwB8bU}JDk#nRrFIn`%b+yWz4v`&$?zlrw(>LQjSp1GOJri z!dB4A%33Y{;)wF)Lcz2wOMPyF3UeX_LqX1$WsH3`!;A;41f0)3q-jO4mEkH(h^y zqvtwfZi1QGbWnaB|8&R`d2n~(e6Jv+&3fYd>!r)|R;-_eEg5V3BN&K11~!#iIpkEK zOZ?(TlC%&!n6Ks5klxMu zr6)JB$KyI57GHN?Ljr}v7TE$&5=oA#$|6*mC*P@1s~Xfp{WOiaq}%h>xGl9P?tjQRHA#B~!uTs9aok zKXc~l!mHNkpsvlYWG3t!2y3(GaGwSlf9f+Lef+?R%nPsXZpk3<7C%H$aFT?MEsZr* zVA*F{Jv?+kpS8K&3p1Hj|XJgCs%54>lUBRD~3#I#pHxzPB01<&uI}WT zjlec%wjMN9;fIk!g)0O8CZcTm*aN4%!n6}(nKfnRfggu&>p^A7DsG9K9rVVqB6Qyp z7e7N0^_uRLd-Bt47~E*vq!7lSDb=1mi=EJ)Qta3xMP zr5Rf0+A_9DDR1O48zT~|wj*`?y%#OE7h5hyFfG!%syyefxADyE_@X&dcj7e&N3>5Y z0i#n1d-Nx?NllnOEEtTMY~5vV<||~4M&WM&NWL5EQ_!R=QVYw4=dAEiR+&jCr4IMj zI|~^^yC>58Zl+$wqsI3OO&D5VxT8)5=a-!Y@uRI09`~Fr!26fe*gCfYX&jDM(SF1gb>i&s(gK+KR3>)H|}x($LmIV zSE0hetexb$h~H8p3N1m)bG!yo8${>vn|8&;O)hseVwDFdmE6Q`G&c-&KKEJ27Jq4H z3);h$_K=hzSKFq7?F;SIa|#JQxD<@GR>@DCG6Fu^LD(498ixQM55FI}z|qgO2p4p< zF@G6lvOqx2I1zJ45b{&=n_#l)%lEuPtX@6X?|sLEBN+z*{7a2AU+ug(Q&Os&M(ejM zbhl1@_e~BS-1RBo7L!CSOY0Y(!mL_HV7558LQ$+4RX8~n!D`Pij*dnNI#=ED*cj?P zV5obALmxGyw-7zrR+wzX+J*5%(`x7^21xwgHEL)Clzmi+?yZT+pS+H94JvQNk6W%Ng!G-Jgs7RgP6q{7NLCjBXg`}VyC@QyD@9W(#8OsQ!Bw2KLOy!QCTjO3edQ|QCWuc)oPcVU$pk5aNr?o~MoEa9S7YSxS zy`)`P<&^!%El(jscu?qaSmXqd(8n~lv_w@RPR;e7P7OztOQp3Es}%vJ6|0cyu_B1U zBylcA1z-N~z&ww3+?SUnyjAVH(rs!4#CPk0Yx;{uF{kjWHs`K{g^zc>O{-sjd{Nnq zdug_Ui504}Z<*FH%f*(u5s0r-bWAcD9_bLmWP1d+dbN0@*`J{5>T5-*uvZmKH`7mX zE`3S>syniH-cnGU&) zXK~YJE$X5iJ&AWIM5+-*khn(K159A0`dU&c&=PJkhXd4846|dVwjox^)Ua1uF{NbD z^rt4>i-zv7RxyVR?3!b}PWXmZ8b>g9QrbjBvBK1;)`FMl@5+>$LkF6GIHG;*Auqwg zAmX6-b$mP+$$nv5mOXKIU&~V&Cy-dVRV;C*msLq$V(VEnenw)P7=Dv+(^|Cghw1!j zaft^$vGZH5_xb>#{kEd>-Hc>p+q=Iot{k2!W(0+)z=|r1uMWMma3bCLrhgZsp5X@! zgjh=fj3$fFk5#PFQHH5>rN6o~r5n#iY*8&i-W;%x+aLycBWNv2x8+XpOL;KB1Tx*2m=w{55~SdM~PE1+Vr@IDDMDX zM+q!%9*h*I1!sDx6i3>(GLBvg4#B-gL(v#Y;7Xmdt(|~#69||^{>GUeTDb(o;)x=} z;zzH>2IeX!&6ZFaz?-Mlv3rDd?gE}MrA|htKAhsoc!^Cj|LO8%4E(>)fSM(W8$b8BSwn;(oMCWZ=UT{ zY0`0ISuRjE*rptowW!idTsX65xH-|k3@}^q%^J>1JC)5nyyjbBM(ldox2j} z&Ovsl4qU4_1Qof*Q&Xg-=kjaq;z}N}D7(gU7}M9_#Ryoex7T|Nztu1ALW*oko#Y}D zCyO^>z#Z>&@XPeTC!a5xK5bHrf9G`C3-7mMdx4+!@+A1lglsAObBYs|0sNn51P2Ah zsm7qVw7hI`^#*Veb0d)`l$Q2@#`KPv^&+C$sAoWpRS=^Q63W#gbLe#2prq*7e!D_B zy(FP{1DJgIlbSE%5ZNi;c|ya@c(Fx&S%OVF_m*th?CTo|9n1Y8OBXHfo+_No611Sj z`Nvb!Dm%>9*89w>dSwMukaf93ePSyreZ9(jFl*c7TBRGXsMRIg>5~T=^LtBtRf-h) zgw228F8KB7o!vaW5pU$zt8SlH))+t$FjDB3{L}4dmA$k4G&GCDR2CNw6Zt}&l{!vL zayck+wop!`beY9RZRjoRf2%)>#~veY_<jZg`f(nia(b(_jlVIX9lentK;!%#g=>bw7NcNf zQr8mA13-O%Ky(dsA6%LP7YO2Q+NGFbK#N($qfGlJ!!tlg3 znM*V51yssHrGoYvVzW>H;P1U+0Zuo?Ataby?$X!0HV1`_rI(Z7nda*`lN&k-@f33^ z=`#(vn-Ok%X{3+2y$5Oh1?-V}Ptsap-Y2#in1MAgDiWUL-A!K|y1aB6vIpin9cYi|9{Gg0kf_8;7>( zd4IOk!1bL#SKN1-WTV~y85zJ1%emok{MY69M6%3&AU>&icWd0stYN%klRRakm`)Akyd83gEAWbkql+T%-&?gi~0OE{L$?5xb#aW5bLkkq zxqKMD;ZJwfdwOjaofeN~;Xe)5MBn28J zyncVZ(0g~s9D;f1f>9LcaT@#(BV|*9LjbNUI9?~1r?;)e)yOY))Ru}k-$c20x1zPn z=U1%cz8k+ji zzt&P}-p6$Tjgm02Rnv7go)?Ey3(L1uOZrh47}1DE3x5WuvvSsV+plY9 z{pIzKW)$QvzTcfCtH@@E!xZz){8oG9 zFS%@GDEMIXjvRBL%c8ul%UIk?i@}P(Wr@H~&*j$FXLJFEW&~`uO3MSYt}l*Hd~;f} z7l5o{eVu(jQ|OMxiT0+nXwAvt-6tk_$>xwe-M3qOzo{JTY$*Tz4jpzbtLl#1`CMeB zrxN~cg=%Zvw(2Z$k=(~MEuyB6GJN%8V;}fLl$6TLBD|3mb5u~=KHOO;u1s8LM?d)V zS^SPuT{L=w?>#~;tC^kZx8&4$77me+`E|&H7FAmIjG7{dB#Wc<+t+t+VsybK)+OM_ zQOV8BOW*O4<*JpjmB#;7(yQe6TNW2#qsn)Z_G%i23_(Pul#1G*oOg$t8Qc=GObT=n z@Vc_mi8v(3d@4Q6=ELZcpci?kSWxM^YRdAe(7CGS0G0Z42uhe=zsze0On`i9?l5`? za;*YsuaMM@`e{zn*{@%}7HOtmy;aE)h?YQ!o2(U^1mZOG@pYPslE3h+eqU?=nQrJ>U1eTG@|b$xM)$mW_%x_trmd{Rc7Q=&Rx<&BO1BR=p*Ep9 z4(HYu$49v8-?!%MqOBM2a+|N+ta`PvW=@!$zDoS@3%f3We~aCqf}tqj+zjLG{N%2) zUk${uN^Dvz;5Jr_-cq1sp5Pn@~^f2YYcQw#YGfCS+Cv5Y=a-mLi zUU5sU!P+Xj*?ZtENQA1V)FuHM-K1tkqL$INjxgTY`>TXt?GRleoN6nf(~X^sF`gC2 zd=LEgIK}MVQH8PuD|fMKI=4{oM+I(5HPz>@+RYb+BrNnGdFVqhObpvOXS zU8737VO?(1m`0BV-j5TzCCf-IS%LdWCg3;oS7=|3JHqOEAkUV^$=h;_o2Xs?*Ohc# z_wk9qe&IrybqE+&?TuOGLakQQ^!mGU5RmSB2p%*3usi7W+Tn`_Ei;|2lQD{}WES-L zEJG&*|Esh#Z0LL@>HZq-PNBl#=5T^U&q_W-qSCl!PZf?Y7&201|K^Ix+gDV#vc&7! zX!FeacDp^tXRuy7Q`z1cJy5Z-P8%4!?Yi*P4GxF2+PCf&txXEYF1oXiCt zlMR8c(AMnh>evL*qUoDZq!;zB?g(8C^6zTcR0E1tA`#9M5)Hy zO(E2a%9cVFA8;?14bgAi<-uNi^mrCCxo^jBQpS90JTW*3gA3hw<+|=JEbeQ|bJ)P@ z^qJnZ)WynE`_rN$JywZ^vo#6%v$DA4A)m7?ZbZv2{lY$J#Tb_+0c}QK_h+l`*n1Jk zOK}y;n^?M`<+I>rI;;2>)DEO{0hbp_6lToDSj%Q}@;L&9YPZ|+x~&H5j@N2|n)J-#iKOJY=%jT{b(EvPW5c^Nek4hK#hUta zWC&T^^)RJKaVz?2+-IBp9&FpSf@ZZSk8&c6BZYq)-%SzhXWorBV!PXO%a<9gx_U7E z!x2*_dkR$ey|q3TAN%FG7{x-zAt%!P5ex?;(C$1EwK+ex;@U`q+<0XtJ7ZhhSPINd z5wiu9mDp;d0+)M9c=lUepy^FRbfP2lk4SX$J22(D1RnR|wqA$-&aLT#_(%M8 zyCG{9Fo5%^=vU=up5$S>ehDkGGKlNZmPN*E=d@5t%*Gjmq-HsaQ1R|>7DI39+KmVg z7bY?{S8RolKO~kC5w7^NjHa`v1>+&GwQ`A9tx0&|g=RdlSG}6l>`aKPRXxL0;X5%W zO#^YJEseLkt#fQr@=a#mGt%GOv`?ecX+tp<+0&m~`7AoEBA8ZsYuy8T3d@(3S0`sZ z)^A}Ku{GtH6wc8dw z#`lmwdi^&QMyaztT3(qre*fGD%R=3zH`P;7!?fz9MGX_N84(UmkBuhsdKWvv)T!R^7HTn!*D{@wAaH^PV3Wr{41X ztls%DSz68E$+7C}_fyif?bjc^wqtd%<$_u9uiA3!7cQU9bTVi@%J^l+4i@w|=`)wk zmEfjkq*oC#ek7bDh^=jm&(lO$A*QmUPu#XhK?f}u~TRy{& zJmA(}KM|`bnj!Q-q}IW_?-nU{OyJgC_}JO4MKvjT&!|1BCHr-Ok_f{(;_Lpf58rky z2|GS-XXDatCdc@3-;Yfan@mqR=G`Zd7Wh?Ix04vZNuc_k+JSqY!?ce@zj!M+JiiB# z%8{@sNaRJ;;$D7w6QT##KssI%7c6G8_}E_CWIt${TCaxz44XZh*pHHAzZ#Nb$SEP! zh;6&SrI=*+{8_`!C^J!;58{0O@r}qL$Y@5D;2!76fhG{HH0Y(q7D2*07y#a^B($7E z4o9egwW4Wgu~kn60-Z>2GBPr(&AM)s|10X8rJwNvnqb&Cxel3FPJ%-`G(nRTuYF}p z73NL1Y%a0iN=$nrwgz$WrI5>j2!{v}sigZRv(iV#g=>#D*WF9{F3h*mZ#Ri3yUv{U zj)bPUD+P6%GHM&Zm4s2((doXYeJOtsog}CSa7LBfzGSO)46S)z-d54#pYNIOsix?y z%jC1^Uv-?HGW-yhgK7>gy=Eee37(px%sIs${h;qn-0a%5gi7(@`$~e{3zs>C*pP@~ z?0@93eiH#xPm|gAN8^3qqzu2G)YZP|Y>3VWZVAj?cGbPNGL6EDyh=(+s$|>anpf5% z1aNPOfoDlb3-JujQoxUzBqHHkrJoOUNV z11N3%J4iB5pC;|e579oHzA`|j{8rfhMTX3eWEkNmfxq2{B`cplElW=C?&a=&Oukmd z_j~_1I$`&=sl}T)pY`#N0O6ShAS(V*P4z0nStxGh&$NSrN0&Z){}n6EUJku;lFUg#msSy!f=Oq7bOPP+ZFu2!^(Tbk_p^zoB$eMQjvqI?vjqHtwUQ}>4 zB>Qos@7V_z&`o=wc>HhH0Ag`+-{8WTSf{y2+8<&O`6aT)ro)Fo{@*Nt4wg_Vr5x;J z81Q`w1;^a-RSRCM$ko2#$J~MpNZbIDmSXf+=`a5Z8UBIL>>d1kNeYDLaem2{|E6bJ zcc9Cw1@li8svhH%i(&n~Fxu#8YCqok2$9X6F;r9@^@$rZj8NQo0VH$h;57z;&z7Bt za9LGrdD5d>j(a8S_}j@{-%&g8C6rOwHuCe}tpnemRKYa^Q$QK{(Ya4#5n+liM7uAw z8^N6P%1B{br)&3)wH)y}i}SZ%OnU!XIccv}Ov~8Ute}g;5mN^dKNd zThd-IpE-d8r+@xGoPK=Gd1cVQXl zWx=OUMy%q79RdBw2_(8Z(Yp7VXRF7*p{cu>D~ErgXe5V^9!= znhM4|YSLi`*r+_VOmu zwY0XP#9&AZ>iz-YxmUV{E{EQIMklhHS)nKSq6y^L_130$d(+>X>8f9Ag2ZR7o2(?2 z=+byAIZ9)X!tUiO94pJk*eGo<=#?w8gAwBKFjZLJ28yW6F&=BjQLYik3ezYKzS8eg3ACQU+BTKUm3iZ->v7i=dmOU^O?c^US97I}1f-}ok!@uw)*pyWopkou z8kfRFL$Z9ue^;hse6)-C+@vL{6T994u8$GqKq_Of8>X1gaXY8WWr%(=JP&{OJ58b_ zXLZ@NqjObaR|>L*4-795T2vd*kk@uo0h`De>vX~VgUVM=>|p>1vzY7BMnP;WPUt(6 zT3<oYRYhpeseRb+~QTWMdO4mg*M-t8OD>FkycOWNp&WQ`}>6F*9vq_ z1jF>=HlxP`-H>i_dN_xrzVW$bSUKL%dGK(;7=C@m?dqB8Vkm;K^s4T%oFPoRq03G) z^|tD^D+BOK47}gW53(C;WCk}#K@GZ$u-L`L#mX$RrWIy?JOpd_>(cK0v9zvHyNj7= z)&{HIO?SNqs?Zv-H&YrlDkQCAABZXF3C5!{osL**n)H}VX+RR^0*_VSY0;a9+1^;Y z)V|^+XTPmwIYSKH|M^Z(SJ%pcL8if$J$NcJ0zlBK(DwEi+-S-iz}Q&L#u`}4p?5q5eviI$^Y*N*&DORB%=>UdJdn-AIr zYpVL`9G!-{Lux-{Bx78aFA|pN$DIg2obJgW_;e=Q+Vhr5-OTxz?v{U)e3* zGbZhbw)72et981{-RyQ}B*C$mJZ%CB6XGg$LTR^YowRP|etG%sNCb^>zef^YjN9C~ z*Y)D-R~?$M5gpIv0*wG0sbhq@3?cgJ^g5IsYo+{m^{ViLK>Gglgr58^kUOgHGwB`^ z$F;mjkLz@Q=ZB?ZS#Cx}85q z9k*lRHhAw3bi$kXtfP_EJ-f(fcB;&LFe#@5*Mo$fDcJKeU#QWS8qG|TRo6pE>ldTe zQ706q{BIsf$?q>(Kat13HAy{<3;b`gU?s*y$WQ z23jaOpMg2G%|ifWP(gSRgPl`|_@AjY-|y(x2QYWVMD8__F3ap4yiS0Drm<9}MzAu! zz0aq=9S6Vi*GwmSd;4B5n|f-_a$66Y*A0Fnwv_O@E%vTz1lX38id6_)lI!r1X}@0_nD`nQmi|DW7cqD#N22j#Q2KY#>^w+?v^l$|)@blR8j-+YqDY`gA!+^VqY zRl#}Rv;XGb?J+~3fLrxyYMvgmHy3fq3HK2FQ*6Mh`rG{pA5QsE(M{i({vK29?I!wE z+t>UbUE!V7KTtedX&c_g?Mq?1`nqWo7W?tvESAo!=Eq_!j2<@0DL;qf`B(q)P{{W2 zSPUT%_j8IpW#6l-zdeyZRw{J@0r74jbUI61z-x1v@ub)@7jnlnwWg#<#BMbGp+DuX zj&kJb-{f!PvHW%wG44g(7+$=N^J(9+;fnx9bE^wb{{Y02snXa%$?7;vWzGkKGt{oZ9{sylNr$KEAsIUcO<`I{6On>j3Ym z-#AqZ)|wa68|31_V!6i-{TfsKA*>I~wm{hkJS}Ihw$`;P!R*qbq>Mn;-TPV7G%C$9 zr~j@I3>4||k1N{-@VLK*nV-zim$@ObR9jAXsN=!5x>SC;6+!;US=cIH**-aDBc=G| zNS9epin5Du0U5;fdMaZ5EZ9ixjcbUICV$cvC@+spprA_+{K_jLUeB~deDnP((7le{KuAY_06`o%%iOug#5hdUw_^!4ncTsi6$+s$>d2_ zA5GCiUKEF&etK}fUq2It!q4m9*=6aoK4pcCLOz1`*N^xzZ|{K?N3G_4Rk)Uh4B;VZ zzMm25A8PaD6QdtG>;|6b`0o0GcbU_$ZQpA@qw_x`=_-3Ag3BO-UIW8Q0LhuY5o`tc zQnl9nxWk^Iyq;+ujtcYhOq7MQ6LnVS(RAn zyJJ#7*)P_9ko&_JZoKig`)2s-eV@%m)Ej*s6l#K?<>x5kNj1N^81beTfC80(L33Y{ zfGU<7P^_j%JLw6W6&>QcCrAu8zzxXv@0kp$gx?aXr!~8fjdH+X$s=@vHzVtvp}c;M zMI}1YZlaAF?5wIyw|#5)w2D+47~Bu3%3MM%AoOrUxPQH&$K_kQZU#!Bpcu?Te1Ik^ zK&jMtfc+7Qv9GdXK9BbERhWq}!p|HsfL;?si$kvWj~9WHnSksUeF~_kf+6d)uE4Jj zn1h(r_xGrRfwQ62&62)sJ+qY3R9L5czc<`x*kA9ngxwqwfxE!^7kwk^ldSk4l*n1Z zvvrz-L8+|k)5XQTZvd9Tx<#HpeuBCuV&m3%WhP;=0UShvS^g@)LMdCDrBM4c0XJYX zQ%b-JlXB1aXI#0N%S1TkBCQ^Rmd#{gRUT<3R}3n$FUjW&$W> z6bhy)K!huhS$H03gXc)njAp{T7@~9?zDjo@yB+=OZg*Y9pVp5@3ANC6td48~5(sS( zLg;~Zwm<^2qILmf30i;O(UGWVhqZ<=e@SbZbHNH)P(=$20ua`bT$t4u022wHAn??d zBI)@{@#7Kh9PpB)1OBEnaq&Zq4PqZH6U+2A+*{!q3AzjU$%y+5B5$lEQiy>jXy}n# z&2_f(V}+$q3|5ws*CT<|eKP!;yq3^SE@;KJjh3!QZT%W&PT$U$Y2a`loG#xF;qGgQ zGnt_uR>lUwQUbl$InMkEp7}ia%X4^rlWmPy{@H(!$VRv#1SFH9+7X3@7>>Chs{9tPx!YtEB79wj6HE_ zY@`tIHAmrTX*RVY;RQbFzJ`Ux0_XW4K(Dd@OcQD*jOT za`>F>d;p+77tF#8;LqiVq9QOlZav>hqM{QU2nh{5{WhPb6b=jI-S7OXW&%i<86g=1 zqum47S#e;37>WzkopT1fxq=zf3<@M1WG~U z^cNUYtpq@7Ml3%%m*Y)anV>U7ataUw(afXek!DxqkYxTU!~ioxu%b^97323GPl1?R zv|`iI|3V03Fk%aR)&Badpbw+5VPkbZ_#PE23$S6`tjWDB21*=GDPf@qKIC-`@2`RY zRXj3a=&K#c?=Vkd22K_u8z5TEPJ|*+SgYFMiC{A1!k+z%)&8)=N04eg0J`5AH9S4@ zO7FI&GC;Kd`%y|stX8T70g@Iy*#fw+Gw=<`y+0E`f0#XFhZIvONoi>+(GXzrswqLI z#9qY4?fFj|;=NA>g3kb3r<3$4~6}S08PNuq+Bkpt=EcTo<%t zF2Y%U-2IRe23Sqax7MfsE+V6ChJi|V$(e4x zQNQx|yEHh!~ZTZTag+f{l^UcrnNy!Y zDv>d1?a%*ECP%*|aP}ij9g@QRdXWvJLTSC}*tXH`{N+%~g4w&3tbu4C(P@OyOn4LL z5u^5Cw>?8q?)A0BmwSlM&$P!%5p1@+wJ)+^E$f}RcgeR=59<#@g&g~V&Q(!7b_^O= z6tr#UQ45T6h2CfNkQ?WmmLVTL89{ZQO5yf!yfd1hme z>Bh?JilZB933*+F6;Hq57oqCxi%)L-^xDluE^GX<`5|EaS)q(M>wPS8W*OFtPe8FB z^85Y%fOz6x^?C{H8KRo@Etk`buzPr319C8?7!*0nbI~zSf(rEX^uwnly1yCl1MlR> z3SC-p9g#0|0RP0SdhhYbTQiZb$6iK=*RWnZ^c4nkU<%-u<85|iWB?Hjlc2|jQ?SZe zpi8MciiH}s`^pd+kzM8f+X2pF&^w+qxkR%I|PJO;Ie42r@hqhDA( z5-4h5Lo9eP06rtwI;Rwv78j;e4X(C31{s z7MPl+@8Np9X%+0+>-_@jxN>t|#BRchz?GIG#~RR|t5h-C-Y*8BD3N*h?%m$ZSq)9Y z0Dcc~nAe^*QX66Vx+*{Y=~)DDLJyf)zX=hWQ-&<$q1PENk1zwxl)nXlYtTtq2rCRp&0V`pbb#py_uOS>84^?67s-?|Fx zkUA||ui5oP%wMfN2U1Dzz)28Jz*E<@T{f1I!d0tlE);n(1&;NEKM4L8b!1SuqJwiI z0h3!FSM~dvZWbWWVBJrR?94a7BEQ)YGa@cGiAgKy4fa`s(FgH@Ur&90m3zfyrgbhi z9}xM^p^$>Tg{#GWvR%w5xiX-wI2nOla_S3?tguLq6}0} \to \mathbb{Z}_{> 0}\\ @@ -272,7 +270,7 @@ \subsection{Differentiable majority} \subsection{Differentiable counting} -A boolean counting function $f({\bf x})$ has the value $1$ if a counting predicate, $c({\bf x})$, holds for its $n$ inputs. For example, $\partial\!\operatorname{Maj}({\bf x})$ is a boolean counting function where $c({\bf x}) := |\{x_{i} : x_{i} = 1 \}| \geq \lceil \frac{n}{2} \rceil$. We aim to construct a differentiable analogue of $\operatorname{count}({\bf x}, k)$ where $c({\bf x}) := |\{x_{i} : x_{i} = 1 \}| = k$ (i.e. `exactly $k$ high'). This will be useful for multiclass classification problems where we interpret $k$ as a class prediction. +A boolean counting function $f({\bf x})$ has the value $1$ if a counting predicate, $c({\bf x})$, holds over its $n$ inputs. For example, $\partial\!\operatorname{Maj}({\bf x})$ is a boolean counting function where $c({\bf x}) := |\{x_{i} : x_{i} = 1 \}| \geq \lceil \frac{n}{2} \rceil$. We aim to construct a differentiable analogue of $\operatorname{count}({\bf x}, k)$ where $c({\bf x}) := |\{x_{i} : x_{i} = 1 \}| = k$ (i.e. `exactly $k$ high'). This is useful for multiclass classification problems where we interpret $k$ as a class prediction. As before, we use $\operatorname{sort}$ to trade-off time for memory costs. Observe that if the elements of ${\bf x}$ are in ascending order then, if any soft-bits are high, there exists a unique contiguous pair of indices $(i,i+1)$ where $x_{i}$ is low and $x_{i+1}$ is high, where index $i$ is a direct count of the number of soft-bits that are low in ${\bf x}$. In consequence, define \begin{equation*} @@ -299,15 +297,15 @@ \subsection{Differentiable counting} \begin{equation*} \operatorname{k-of-n}({\bf x}, k) = \bigvee_{|S|=k} \bigwedge_{i\in S} x_i \bigwedge_{j\notin S} \neg x_j \end{equation*} -(see proposition \ref{prop:count}). However, in the hard $\partial\mathbb{B}$ net we efficiently implement $\operatorname{count-hot}$ as a discrete program that simply counts the number of low bits. We may then construct various kinds of boolean counting functions from $\partial\!\operatorname{count-hot}$. For example, $\partial\!\operatorname{count}({\bf x}, k)$ is straightforwardly $\partial\!\operatorname{count-hot}({\bf x})[k]$. +(see proposition \ref{prop:count}). However, in the hard $\partial\mathbb{B}$ net we efficiently implement $\operatorname{count-hot}$ as a discrete program that simply counts the number of low bits. We can construct various kinds of boolean counting functions from $\partial\!\operatorname{count-hot}$. For example, $\partial\!\operatorname{count}({\bf x}, k)$ is straightforwardly $\partial\!\operatorname{count-hot}({\bf x})[k]$ where we can again use margin-packing to ensure that this single soft-bit is gradient-rich. -This set of basic boolean functions is sufficient to learn non-trivial relationships from data. We now turn to composing these functions to form $\partial\mathbb{B}$ nets. +This set of basic boolean functions is sufficient to learn non-trivial relationships from data. We now turn to constructing $\partial\mathbb{B}$ nets from compositions of these basic functions. -\subsection{$\partial\mathbb{B}$ net architectures} +\subsection{Boolean logic layers} -The possible variety of $\partial\mathbb{B}$ net architectures is probably similar to standard neural networks. Here we define basic layers sufficient to solve multiclass classification problems. Other kinds of layers, such as convolutional, or real encoders and decoders for solving regression problems, will be addressed in a sequel. +The possible variety of $\partial\mathbb{B}$ net architectures is similar to standard neural networks. Here we merely define some basic layers that are sufficient for classification problems. Other kinds of layers, such as convolutional, or real encoders and decoders for regression problems, will be addressed in a sequel. -A $\partial_{\neg} \!\operatorname{Layer}$ learns to negate a subset of elements of a vector: +A $\partial_{\neg} \!\operatorname{Layer}$ of width $n$ learns to negate up to $n$ different subsets of the elements of its input vector: \begin{equation*} \begin{aligned} \partial_{\neg} \!\operatorname{Layer}: [0,1]^{n \times m} \times [0,1]^{m} &\to [0,1]^{n \times m}, \\ @@ -319,9 +317,9 @@ \subsection{$\partial\mathbb{B}$ net architectures} \end{bmatrix} \end{aligned} \end{equation*} -where ${\bf W}$ is a weight matrix and $n$ is the width of the layer. +where ${\bf x}$ is a soft-bit input vector, ${\bf W}$ is a weight matrix and $n$ is the layer width. -A $\partial_{\wedge}\!\operatorname{Neuron}$ learns to logically $\wedge$ a subset of the elements of a vector: +A $\partial_{\wedge}\!\operatorname{Neuron}$ learns to logically $\wedge$ a subset of the elements of its input vector: \begin{equation*} \begin{aligned} \partial_{\wedge}\!\operatorname{Neuron}: [0,1]^{n} \times [0,1]^{n} &\to [0,1], \\ @@ -337,21 +335,22 @@ \subsection{$\partial\mathbb{B}$ net architectures} ({\bf w}, {\bf x}) &\mapsto \max(\partial_{\wedge}\!(w_{1}, x_{1}), \dots, \partial_{\wedge}\!(w_{n}, x_{n}))\text{.} \end{aligned} \end{equation*} -A $\partial_{\vee}\!\operatorname{Layer}$ of width $n$ can learn up to $n$ different disjunctions of subsets of its input. +In consequence, a $\partial_{\vee}\!\operatorname{Layer}$ of width $n$ can learn up to $n$ different disjunctions of subsets of its input. -We can compose $\partial_{\neg}$, $\partial_{\wedge}$ and $\partial_{\vee}$ layers to learn boolean formulae of arbitrary width and depth. +We compose $\partial_{\neg}$, $\partial_{\wedge}$ and $\partial_{\vee}$ layers to learn boolean formulae of arbitrary width and depth. -In classification problems the final layer of a standard neural network is typically interpreted as a vector of real-valued logits, one for each possible label. The index of the maximum logit indicates the most probable label. However, if we interpret the final layer of a $\partial\mathbb{B}$ net as a vector of logits then we violate hard-equivalence. Instead, for classification problems, the final layer of a $\partial\mathbb{B}$ net is a 1-hot soft-bit vector, constructed using $\partial\!\operatorname{count-hot}$, where the index of the high bit indicates the predicted label. The soft net outputs a 1-hot soft-bit vector, and the hard net outputs a 1-hot boolean vector. +\subsection{Classification layers} +In classification problems the final layer of a neural network is typically interpreted as a vector of real-valued logits, one for each label. The index of the maximum logit indicates the most probable label. However, we cannot interpret the final layer of a $\partial\mathbb{B}$ net as a vector of logits without violating hard-equivalence. Instead, for classification problems, the final layer of a $\partial\mathbb{B}$ net is a 1-hot soft-bit vector, constructed using $\partial\!\operatorname{count-hot}$, where the index of the high bit indicates the predicted label. The hard net then outputs a 1-hot boolean vector with the identical interpretation. -Define +In addition, at training time, loss functions should be a function of hardened bits, otherwise gradient descent may non-optimally traverse trajectories that take no account of the hard threshold at $1/2$. For example, say that an example is correctly classified by a 1-hot vector with high bit $x=0.51$. Updating the net's weights to change this value to $x=0.52$ won't increase classification accuracy but may prevent updating the weights to correctly classify another example in the training data. For this reason, $\partial\mathbb{B}$ nets have a final `hardening' layer to ensure that loss is a function of hard, not soft, bits: \begin{equation*} \begin{aligned} \partial\!\operatorname{Harden}: [0,1]^{n} &\to [0,1]^{n}, \\ {\bf x} &\mapsto \operatorname{harden}({\bf x})\text{.} \end{aligned} \end{equation*} -A $\partial\!\operatorname{Harden}$ layer maps $m$ soft-bit inputs to $n$ hard-bit outputs. The $\operatorname{harden}$ function is not differentiable and therefore we use the straight-through estimator \citep{DBLP:journals/corr/BengioLC13} during backpropagation. +The $\operatorname{harden}$ function is not differentiable and therefore we use the straight-through estimator \citep{DBLP:journals/corr/BengioLC13} during backpropagation. However, by restricting the straight-through estimator to the very final layer we avoid compounding gradient errors to deeper parts of the network. \section{Experiments} @@ -360,9 +359,46 @@ \subsection{Hardening} \subsection{Binary Iris} -\subsection{Noisy XOR} +\begin{figure}[t] + \centering + \includegraphics[width=1.0\textwidth]{binary-iris-architecture.png} + \caption{{\em A $\partial\mathbb{B}$ net for the binary iris problem}.} + \label{fig:binary-iris-architecture} +\end{figure} -The noisy XOR dataset \citep{noisy-xor-dataset} is an adversarial parity problem with noisy non-informative features. The dataset consists of 10K examples with 12 boolean inputs and a target label (where 0 = odd and 1 = even) that is a XOR function of 2 inputs. The remaining 10 inputs are entirely random. We train on 50\% of the data where, additionally, 40\% of the labels are inverted. + +\begin{comment} +""" +| Technique/Accuracy | Mean | 5 %ile | 95 %ile | Min | Max | +| ------------------ | -------------- | ------- | ------- | ------ | ------ | +| Tsetlin | 95.0 +/- 0.2 | 86.7 | 100.0 | 80.0 | 100.0 | +| dB | 93.9 +/- 0.1 | 86.7 | 100.0 | 80.0 | 100.0 | +| Neural network | 93.8 +/- 0.2 | 86.7 | 100.0 | 80.0 | 100.0 | +| SVM | 93.6 +/- 0.3 | 86.7 | 100.0 | 76.7 | 100.0 | +| Naive Bayes | 91.6 +/- 0.3 | 83.3 | 96.7 | 70.0 | 100.0 | + +Source: https://arxiv.org/pdf/1804.01508.pdf +""" +\end{comment} + +\begin{table}[t] + \centering + \begin{tabular}{llllll} + \cline{2-6} + \multicolumn{1}{c}{} & \multicolumn{5}{c}{\textbf{accuracy}} \\ \cline{2-6} + \multicolumn{1}{l|}{} & \multicolumn{1}{l|}{mean} & \multicolumn{1}{l|}{5 \%ile} & \multicolumn{1}{l|}{95 \%ile} & \multicolumn{1}{l|}{min} & \multicolumn{1}{l|}{max} \\ \hline + \multicolumn{1}{|l|}{Tsetlin} & \multicolumn{1}{l|}{95.0 +/- 0.2} & \multicolumn{1}{l|}{86.7} & \multicolumn{1}{l|}{100.0} & \multicolumn{1}{l|}{80.0} & \multicolumn{1}{l|}{100.0} \\ \hline + \multicolumn{1}{|l|}{$\partial\mathbb{B}$} & \multicolumn{1}{l|}{\textbf{93.9 +/- 0.1}} & \multicolumn{1}{l|}{\textbf{86.7}} & \multicolumn{1}{l|}{\textbf{100.0}} & \multicolumn{1}{l|}{\textbf{80.0}} & \multicolumn{1}{l|}{\textbf{100.0}} \\ \hline + \multicolumn{1}{|l|}{neural network} & \multicolumn{1}{l|}{93.8 +/- 0.2} & \multicolumn{1}{l|}{86.7} & \multicolumn{1}{l|}{100.0} & \multicolumn{1}{l|}{80.0} & \multicolumn{1}{l|}{100.0} \\ \hline + \multicolumn{1}{|l|}{SVM} & \multicolumn{1}{l|}{93.6 +/- 0.3} & \multicolumn{1}{l|}{86.7} & \multicolumn{1}{l|}{100.0} & \multicolumn{1}{l|}{76.7} & \multicolumn{1}{l|}{100.0} \\ \hline + \multicolumn{1}{|l|}{naive Bayes} & \multicolumn{1}{l|}{91.6 +/- 0.3} & \multicolumn{1}{l|}{83.3} & \multicolumn{1}{l|}{96.7} & \multicolumn{1}{l|}{70.0} & \multicolumn{1}{l|}{100.0} \\ \hline + \end{tabular} + \caption{{\em Ranked binary iris results}} + \label{tab:binary-iris-results} +\end{table} + + +\subsection{Noisy XOR} \begin{figure}[t] \centering @@ -371,9 +407,11 @@ \subsection{Noisy XOR} \label{fig:noisy-xor-architecture} \end{figure} +The noisy XOR dataset \citep{noisy-xor-dataset} is an adversarial parity problem with noisy non-informative features. The dataset consists of 10K examples with 12 boolean inputs and a target label (where 0 = odd and 1 = even) that is a XOR function of 2 inputs. The remaining 10 inputs are entirely random. We train on 50\% of the data where, additionally, 40\% of the labels are inverted. + We initialized the network described in figure \ref{fig:noisy-xor-architecture} using the XX policy and then trained for 2000 epochs with the RAdam optimizer \citep{Liu2020On} and softmax cross-entropy loss. We measure the accuracy of the final net on the test data (to avoid handpicking the best configuration). Table \ref{tab:noisy-xor-results} compares the $\partial\mathbb{B}$ net against other classifiers \citep{granmo18} and reports the mean accuracy with 95\% confidence intervals obtained over 100 replications of the experiment with different random seeds. -\begin{table}[h] +\begin{table}[t] \centering \begin{tabular}{llllll} \cline{2-6} diff --git a/docs/noisy-xor-architecture.png b/docs/noisy-xor-architecture.png index 257ecf87beec1176fe75eb75ff24d83d0d3ef45c..c7afd158eb9f1ac987a6c01b751fea6c9245906e 100644 GIT binary patch literal 32025 zcmeFZWmJ@F-#)C{t!x8P5D-vMDG>ps88P$`k2I|ih?VTggD zbAS5YAG@uGLY%Lh-|K1V%no4m2@ z?nx%@SI)G*^mdr4b$aJI#+*JcddNOnnV&~#wlrX`s5*e-*Tr6%CZ&*XX zF`F#&M>bjpfmt+jZ%(+%=;}@c?=0narge(q+KO>=osqY4p?I@s5vLU$6&-i{9EV2H zE;0*q+A$uraL@MbGCT~ohJ!6s*rW;U9N>}(R}YFZ}}OG_}Y+RTB5*ax#Q*Xo19rXYxivsP=Sk9c3{_}bI#C<3yURow4@BloX?AyhW{L zR?#?F`ax4?r%umYP8d3VA5F&YKylHD!DHf>&~($Y2=Hc3b`Epyuhy}QV2r;pR+W@& zmR7p&z=9>Y2ciURCU2lN_w_J?n$%QJi`rXTcZ@p4%PaWy5hVIflEr0cz6r^pik*h4 z$OyjOCZhp$9~o{v4a_cMFmLwWez{s!tXRy74+HIxg9^?VH#LO>*g! zJJ?kmUFx=Hh~5mcKxlQ&w8s?JG&+^Ep9eO6)Y^uyGHRDM!7(@C!=SCCuI|^#M7211 zPcpG$w*t#mHUU?3u#?Kz*gPr)x9I8;$*3wk`~JC1Vufh_<|~r6OQR#*UoLak!Ocbn zcMVF~l_Ix~dwKCV4!UGRw08`md&j$5#P%wxGw9y)si{AIUJ!WpJ<+%L(jFq9cvyk} zBw<=u%ynZIk(@kjqV?kKAQdS#Cs&25kMweTn+MwQV;@&KA*0=v{W7N-JL=Pf`Jt>dvRrD6WzL`5pWt<{AJz6~R5evq-|(5>mjaHw*-+|p z*>R9Sev}?Me|2HFklpAbDWm1u+S)Ac3}hLxJ2sb{rStSaB-WJuGPlgJ#ECuZ9wFAr zfl(@BjzaOGXwWDu=T7qBeY;J56)So~%9 zo)5j9`s_?}Vg%P*rtj+sp1P|^Ic6WFE9p-P(h0F6#sG&cIPMyK2$oQ5%_n~(x8q$pnk;02K znhu&Qi!BZIs_>ci=)LQRBbsJ3B&>BXa z8Dr5O+-7MQEm1MW_VYGrm{bjS_uf%OVN$wGgup2NO@UU`)TMYKVjAI=`t|W z0f^hC&e*(B;P%ug1theGCFQg|7+rg$4u9g|UmF?dOow{hGVTY9EDPJKZ8X&t$9sdB zHYT_##uRHpa{tHhUi)ZQV#r3}Pdwb#3tf|8GGcBGp>W;m-7TXKE97ShPHl_ig1+5U z@Oy!=yc(;!7~J9SHRn@H*Y@N|*w2FD{n32Mm;AF7b(Ep9-0uAOG_|Dtw;I$lGjo~9 zkBxDZ>?$#oWk3ElM`vZ{xBL1xER{%^Zc-t2>FnH`-C;m8d-Y=j6p|$OC}}WV`e!$O zr~S~R>Z1_Q3x9I(piB>U`tY*RpQ@)Hm6;d+#(*sBxQxse|!_z`#g+#JULV|sBc zf!plh!^TTXCwcFLHk?_@0c%ESL# zvj1DM|Fg3HA2{aqhG2$lpPtR>FhzrJ2|c{44})^B$klMM|y!yvBt z=+UEO#YA!Flg$4rR=xgBo(t`f6v!W1jE1(-X_Q!hTq?&_&PaS6TJKT!|3&z^AjRNr z|Ikk3`Ew@YME4?I2)aTKu2t^1R&$zbKC<6$+STXezlA`iV2S;b0+a4fpSrzVTwK-& zRR>zI{Vn6Yb@i}aTHTs|iF&^`Q|q{06*Q-> zVf1NeojyU?(DBzPACvkDPxnkp9?P2Ob}dOVa1CxIIXC8%0~L0 z^lGSlpvRCQKNXne`~0$UNRNRbb>t^~K0oj^kk8L_P3eo3|Mfg(3JUi1v~)kA*0qf; zCp@*||MhH?Jcj}m3t@(C7Enm(4AsIwwoYLM9;tyx^_}X|C#SG?kADjJm*2n`d0=E4 z8dIGP_6S@D)p5D*+w0wsXY8Ta)8fTeVY?px_WZ0e=FZgK>m{-QZP&~Tl$1h&mP#iE z*U=`IDa@US4>RN&wTH6E$2d!T$gbQrLkL=ba|pvP>$zuF4Bnjlr5SxmMc_ru z6IM$Xjss{SfN-n~_}y$lOB%C?uOcKl=zg)CD$CVuI&ke*{Ux{H}Z!eKg zk?ZrZUwT;6@K#M(3T+rDoS(bTxS5PTAwwSh<<8a_9>d%dGnwpNKU=7sM1nc;%OOqL zdOL*E^RAjgi;H3KfBp7aIR4_{Z%^VXPQ&RIjvxJX`_RKyuy10SLLIfqix^kHJcQnQ z@yqE-3yWo9=c}2%w-a9Onc0igFMn+y3!0_~WipoUtp(eK*p^Obl3)9d%$x%z0eZ{# zurqruY9yvccH-?Xy-n@@GfXFoO@y80VbgS{z8h)0{^I4YZHn)bS^Q^`XWtutzXoIq z@&xqmoqu^IAm?nCC)@YdtngMnG>87ozu1&_HavE*`oduYIj%0)y8ZIs9tr)Bfvf33gxp#GaPP3QSFS-JN7r8*`So0Wr+`b%-~A3$z~8XL z1u)e|eqP83zIfg83?N6sracX zyb~ycB`tOJGUr71jV*_^sM~AZQVh+C5_=bJRPC&YxJ(5K7}UKzpHc3BDH`O5;Fi8X zvdpiVGmpVM4u(G5_0&-moOm-6#;O>xg`1NdRIPL?bz5s@<%X`$&%|054Y`$T!K^mL zSeUFGiz`2p47^4g+tC8>2LAd$wYbYu{O2Ad)Ai}0zdo&i)ox?2qQo+9jP6E)>&jLu zf29P9yr_>agqL<0i!F$E99|f3!OhBW+7NSMZXlMt7JK{ZE89YcxAdB)p$zS&pgGSu z<*jz`k;MJy&9|N$NNW7Wq}^-LJjTNEhMa=7)6#4l99jmlY`ul&gLhAm(pFfncS{|V z>D8ZVe%KH|gL4It<}4j7_~gleVtDytb>Rm>XWR*ZC1t!I!^A?njDPO#4fZP|TNxS< zM87GEU2{^9u$ke`#xi68yve_K47S5yR|p{5w~Rrm>Z+=O &UNEhRPZ@!ceA1LQs zuZ->`R(X`;5f3F)2L?{N)%|RTzm@dn8+W4Pg&ouj4VuZ*LfV*Dx2Ae}dL-J*=3e;H zarpWBN6rp2x0@eJl*rPl+UF*&UZq{QLj^tjcLZdX7l1`2XC*Z{`#i;en%bR5hAfLm zQ?+dBDHSN9{Wq3TPD%ic@9gGlh_fSrS~#2O+9m6+M>j37>1ERQq?b#^hIPo4U!%DW zjX{&dJu?jdA^4{*MeoEvVqKeu4}lT7^j@^GQ6#=u3pRQae|6Dq!cD2i`Q zFGBH)^4$-~@0m3UAW88rnCJJn)9wPC$DymsZ-~M(=EYAv0jyJjX)mRY+p1UZo!L)z zvuz=HdE9OzeoW1+tr{gSs(s|hqD`V*n`aL0MZ)i5E@ zF4mv!c(BOv?t+HCrHB89P(0kdsH2&gQ7^89 z4P|Bc|2)vkL+V04zlyOB0dsrO$t0dQtjhKIub;S@tw!kf6d(U-Z3mDp8z!?4ELu!g zla1E%I{G{@cd%hXq{Kd^i5Ypt>MZuZdv@f-Ki565M?K<{$=JP+n9 z1PYS#Jr3gxJ@=GnR@HUB+TjDC`MV!h8zU|8FaFDi-CJ1oZ*-kT{`qqFi2=3j9?!y` zI+r!TCnx`0b-YlAumYLU%O4|$pAgX)8~CpucIkq~(6=4=v1O{HYnfx}BADZaKQ-9@ zeD~LBSrepi`l?*lj)8(Fz}ow#wJ|Qx9IBtXl)~V;yzrl9>`sd}NGesBQbCtQ|t8>fRM7B>cT`jY*bm?&;7bTQZ0 z*UN&ayt9n!l&CV>-`#@lwA{#0$&TohIM7_Fz;(Qj7jfDzl#k_y3_Dn*ola*ag;%M{ z;$NQ;vYd-|I;&#MH{B!4^)*Yh8hzX zHc1+_zgzf10@Di3q2Y1Wp(Uy)jT7!YqKD8VQw~GW@|xtV?-9lZGGZyl1GbNn zT>2Jk36+|!F{`!@i|YGQ^tY*giv3Om02}?z67VC=OD(?Efo(mM47$VyK&^6u7~o$c z-3g;A^e)rq$GAKib}+<|_yg<vdsy*c^0Av{eK55{N(F@yj%V)6Yfve>c zhKnHwK3WpdVy;C*uqqphtQJOWFJ^FCkAHoil9Ez2WVFXQ1*ttP99xG7HjmBxD|-L0 zhMb(`jB6J#{QB}}-u^bmb&O=EJZBv{rqdyexv3e?w&5fn&2Je4Q!A`?B`#Hf9hui8Tr~GX@y+pL zVw#r3Wc02u6vQj?-TK`#}=j61#WZ=@)(`s`X0^O&-y!!Qq{>Z2AKNcs( zk$?cp^LsH{&9a|#&WIJ_0huzuC{AbS8;`LTi}FA49&wG<-1$nmhP4@J3WG?Di*i|f zCz(Q+Sv3n=n$i+!qs2#?l4X27=GyHNsrmm&i4lFhkJ5c-<2|Ty=XJ;K66=T?_aPEO zWM(}Njhb4Kd+S$L6>LOOhu{NYtG-G%4LP2wD?0q6Wf^fW7YUcO z_$M8h+84H3&9v4ACkrW9X@xdlFd7=J@RMj1+_LSFku>Ub)S){OhLP#9p)Jf2T1+39 z2BED5FwO zvAXT$Qw$gAE|0EW9yw*|TUe<5?y5o<)d?HrV#0Y>*(Ww3#>JQU!#ouSbvo$X{4}kX zqZ1m*1n+H#*(;h>-PM4IaG3Wr(a}lFU7g#@V?)XV{t=8jrBmG8AitelUcWI&GDxtd ziErQ{4d0Ck%VL_+C2mHKo!Ah`K=MwMITvGg)k>ube?2t4&G)2nuLvf8%y2%FteHi_ zp6j4e29Wy|-cEZP@dyuK{_GK!XiL}9)ef7E9Rt+#c8Gmk!|lk2phk^ibT}TXO)j~< z5rzYGl);HhCh=cLWZv`Uil;Sviyp0FZA{bfiK%0_z#FBz^IR+n%re6AU=@o?k-;_O zbyLwbJse16R;&^jb_sG^mo09+y+`(*Dl=B5yu;FPaPVV?T^{oxA$m#e-b^U7WRUo< zbgj2!hfrfvoY0D00lV@=7eI2mZ(n4)!EIZ8Trz^oDKV0iXeV#77u=Uh2?qX|PB|#W z+@(StozgY$otcG5ak~T(n+QTEyHBg5*oHK3m4+o2p)J9sp%-sI4$^F0NZD(7u9J+= zon{x{72L|x&^CRdq19$hZl2jbFk%p5%5wkFgYGO?+ zY0bL|W*TPAhad||T#oM++nB~pZw<_ev}UZOnIenpLa zN4+Xvf!C_nA9Wrt>r(Mi#!X^9rOgnTm`U32%<^}H5X}2dSd(X^5~3FpRiMfO&xmp$ z7sm!sV^O+4-|{~_df+ZArkKUXlv7Q>J+oY`7`*AU-?ROy42RM}?G{y`F!@Qumwy!P zjHkb|&l6_QBo-olPE3rSP5>VTN$1BB+g^?{a(_$~>hM&pSL1BQWThoSgG<^r)u8~? zmmp+#mdI^Q`v<+xbhWsufgc=+{a`i{%NRdbZ6#vG>53ofry=t{B;kopfUPv2j?xcU z%9YY1&q#kZI(J9Txj#KDL}1K5((5jf2%oTovUX};=|yj4O|CALdNf@oQ;4wRD%a+u zcgq;T4cgD~=~57x^1tiE^fQRPX;DylmY!`;3-0wah=1O{&R^V7ppc7HX>Cy(+x9HH z!=(xer3gz__ubF-*r9gR#-mo+M~H2F#X+&fsHV4sOD1j?FH*Rgklk2&4XI^F?*zsh zUqS-e+m>8g3n;ME=oWl*urH~cCFij+nColEV^o5r06|BA7<4Rl7NsO)6Ki*5V0T}g zDR-(6;9n@rHq7TJ&KTTpsUHmEf=yOPsmf)s$~2l@vQq6+u$E4O<^CrwCU~?*YabiQ zd2&B()v!0#ZoG+HxZHuKC&fR6t5RANWb8TwG`F(xvatbvk*^bcB}_0-y-4iKm=Ky^ zM$mSj_GM#mF?PNk%VYJ#e%F*5YV3-o$9-~YD2Chcn2wp=cfr@DbnLvj+xPJpD9#y! zHtUHL53YT1a#C-PzmR1M{l?(UkDv*EO^+0UzB8yBj?tFWENl{f5UA210k2&j7q*Tm zuqZzWK_uUgbnMuC>nkAJOC?`{q7nNxX-PR{0ku0zj2}*8%rIZ)^(Rh4TXU=tTFw(O zxA_r5zP+Cfd({&6XWP+kgSp1f1H`^f%VAvw#(OYvbHUI>KF~~ueXOOokMOz+FFqSb z%+r(968oD;m!R_>wHuaE#gVYR?aW?cTCI}LtR5Knhh^uTI-v&X@?>H}BG)_eU?yTu zhOXmf*erDSg6TC6t;K1~!+1zHc%?(ILVuUE=R-lAxnHZqRBNih+}9B1=dgX3Pfy~+ zP+BJxg_v`9v&zYXht_AA6p|w3(<-(kusiG6kWS?QEg&X?SnRHscHne<6zH1SjI~w* ze87NPVlNUMZr7myi;`{I?MCUlcVD%|2|eS=qBzX>|FDeC_>CSgQeh39M=m3MOe?MB z{Ht4|Et@^V@?^>&?;E1-Z(qK`p)L@1k|D?@qWUU9dv@>f*WZ<==0xjK1qj69?yvdh zqQXN^R(6rqlXYOYv|yk?fXt=ZVtmiO%V$*=#J;+5~|hn1)-4O^w%Ukr-PRGF{7 zL9_!`9HWX0YBUSs6#Ass$|<7us7m~-m~n4r`J?;@`N8#BD#5%r9cV-#uc_X&FKfW= zs!zGw!c#^K3*F?;O-%=T46*1-b*6oJmRQfAh|m)$+`Id}l=>prqHGJ4zEgHH2Se=E zD%YBadoVym+-P=oFU`5vT=_Gyy&f-}O9)el7jB+z4#R)?pJT4Mik!n=Nw>4^)EODR z{w$7#;|#sacJ&M@;Y=k?&sb>5qrMqUqa*4g4^eorc>tulX!k#}3%hQDgPoXkUd=IN z{`w2%|0P>>qzd#?qgAgn(nqs6iSgFs5~Ot2SSortPbU#&OMgQI(uVWPtaHF-nhIZP zVBC^OWRQY`!Vdw2*PHA$1QdNs?g>s~wHu+eipz|(4QCw^D2N57*z9;y=rh>2S0S&C z1;#nXgot3};?5&GPlge-Vl`vyvw1&#PuCc6Jsej2veXCvkhlMW?KWrd}rW zB)df0k92Hft82@H>^HLw*stU6Q3#0(5FG6M?C42v^r18-_uOh+4& z=kx0$S}n)WpcpR8Ci8E`Gc5=P(&80~s<8iMJEzqzLc|`Cg~HbY@Frp~e+WdXGkj1Df@w-X2i? zkw`^!xs18{8s%z%_p4ex*F!HflajOO!jzO@F%SLCy70Muzx!OY+l-Xyp(ya_6K4t zL1D&64Kef@$$_J{_fJ4HDy;e_J8+8S>%W`!mGpt4Llr{Q#DTcik(g+5K?f$}zME4U zu)ee)&cJVOWH5NkN%YJos>{MBReE>U;uw;9PtZkrWOHw%mM2)F+0U>H1Se1N29@3f zkYmFSWa}@pm99UB>4(01^I9cyXYnpz$P6`j5wRA9Plg9Kg~*zXMg<~160}xC59WDx z9)Wxpx0>_zP%tAE@mLMLt`HX`4(k+?+}?0V3`SA)XBbZhiHsQPo-3RuE{nF{lxJdc zW7dxJlP9?X=K0zQvOlZ%C?Tp&1D;G5Gz}2X$ZilVDnVe~9#URDznvdvs6J9#Y?IGD zDs8Pqg}*%RG$24$Zr{_gt87bDwZFCg#3|l+pWAYm?XW&h}H?Iz(;K(yTKk8)pBdJ z=&267l;Q<10kn{U_oxV(rjwE=9Q_*`{<~~r8!;BsAPaqL6X@`nUJgWP+lOu)D#2b) zenjKxWRKm6pu_*NPFO+hw0^pn2ZfIPo=ne|O!gj=r2=ex$gwV2BQAGQa3M^}u&ypP ze$~SFPb=DL7m$qLuxreidJQ@&PKU;PVvF)0$lrJP{qIG}OUJW=MIsUJ+>tP+MqKeF zdUs&a;2p;yr$$=7s{1RYa{ME1#}?e{&>eaIc-1aWQoWepc0h~R!bPggOx8zX}iZ)|4exiz(2*<)zOKnpg z9PcB-8BeKYfKORoKTHKo$KZ_XS57iJX>fIU$`EZi$ki@+$#qa0UB`)9sz?!t#mz@r zIVF(XZtl;?y*~ra6i8z>GLt`ixU-$G?(wl~o#xL@jw0;2!;*;s0w191tUH;2c(2v5 zyIkzsxi=|ZSzj;7j~;Ali(bJUcCf_0&P3g56m!IMBsn_Hu|vYJhFwRvQ!Q3M!Cf{; zbkzbJ1z-_bAJNcu!)VM24H3hXuY^1n5Q@`7#)Hr>3|uc9M_ zRihxXC>?`iPpCLmbMAcl&5Z5FjctX2f6ka9(`WH6`6H-?PWR!AZ=!i;b@HYXP|$WR zWPSnsqdtx89JRB%Brg4?X#L;`L%cb@z0_gFN5Nljnk%b9}3juEVPXk zqKvT?dIrH_P)W zSad91SYe&X@=0y#(qIUEbx9ymx7xKb#0e zB&Q5+=NG1H-?=9vhEYUPL0{E_qGlG+Nfs8yC9Lc?m{eY1HSma*j}uQjzCl;;KHk-m zYmX%UroJ`;<)Wqf;83c~DEqmdxkFLRaJr2r&>m}*{ET&XGHSC}ii~kC-q>K6moY=R zG@I1(ur3%{uNjcoQ_3oH3AZR*?r;=gw~wKUN=)P$bsFq9cQl6W`s3(__)8O*E~nYR zeaGBzfg>(+@!VD;g4k7ntX4EeJGXKaH=Pw(8t1D#*u#3n6S9I1Yow0l(Q<;Q?;il` zs#inX0Z<+IoA)7*RIp^~t_9)(uB0%LzTkhUme8PDik#cMLadfNAr}|;O3oR(nQsq` zm63lpFo>o5_$!hMZ0AU+UA$rcdF)5fH6Ajo9kG!+?p$V{0l~^eq+E!J>ClO!TMLow z_$w#*8r2h#p5F41@gJz2*P*mMY{Ud=r$h`u)%*xzpHy+MzY~N-5E23|-mck^NFdBa z>a;Y4Fvbt4sDLJwX?7A2u^T>=?8?$vuN}q!OdUZ*EAIOE=Dwzt}$+wwm=zZ+Z8T9T;7wQ>kk)H=QhdhCRBZ>oHXO18Ewpk<)?s{GF1UOd&9$T2}<~o-$^;1 z0fE7)ET`6DfWz`o{v6hECpw7M{>dBoX@vX?z!v(Q1MqBolD3|9aK`?q?>OrXT#4tO z2+9xrzRWFo>_S>1XM3zbq}OR`Xz^C z2O%5f^iZ%q;Mw%fFEj!XrsRsA5lyG^Dwt(1i5de?nJ zU{hJnZd)^vvS|wOH|X^vj5N1JEr)sM3JcEzMT75se?VE|z?qzVaOfj2A_{0!&SU!W z3|k3H8#b>dl9iGph)n301}`LOpK8`qBliv_GmCg`*lUMe8Q#-ka7Fd8Vya|ORuz}d zGT9b=fJB9biNl`r51BCv&A&l^tRR7~T$>87z`XWQugckPXW}$IKtkO-yjwUFSa$PRS!DLvhfnlx4V!`vlJygOhrPw zdH8aNjOn$q8W2dQ>r@V=Mq>$uiV;Gsws(PBWwUHH^|2yJKIdSOUP_^c?R`?i0pT)Y2GT`cR1OBrVn4+qz&7w zCH+cZFn;tj+LAm_S_?F|pT+Qfb^HVQY2`Pm>&h@)$7ZcCzHGtWs&b0^9xw6j;f6<4 zuAF(Ie|L)4OgHbq>wX1R1N4-$22=hH1FuxV+T|vd-`2C~Z!)@W<(~17uBKF-vCt#e z$uD(q4}&33wclkmfAZ7=aOEht`pAPatVn_NesJQT!cQ zZk9bB(PwBuW?c>x$Xm!fZX#$MeO;XDslp<^Pb=1DrfrB#-{Dp7XRl_M@tO5X2$5vS zKU|})<|kpw6MjeBeeHxcX@X`1y(jVv<0!47HN9mQT8)$HZ=WmHtFGE?dTQ3|S}7B^ zP>($-c!J(+S1fjxHwgB&HBzI{j2URO-T_gEPQ*>MNiFn9k)=lI{3m|{pnqDeWXP`C zFT)W7SKska;iD-2eL;$pV5-nRt{l$ahvz}M@w-oV4CNt0o9wI4^EX^aW^d@k*6H*E zl*p^S)k;W(mf!4(p*&qPu|B5ObWPQCA>1joTK{kgd(p!aR|Yzjfd@Kinug?&4?b3Z zwlI?1J?>Ij7@~dd3V;@d89aE`JPsmF=n10(O_!Z6x@_t)_NJwk+o$gg-+GHjejGTz zS$iEORIA1(rg%?iPQ6ONK|=90akW-^=N|b-WTt5Ek(avEJ?mJ@@dpJx-|sk!@uIiv znNbGDmg8+VgUpLr7^cYBHurv4DZOM&F8`Z21H4-v%Ylq$$wlZT9Mf#}CRoO;#SM>x zB@=SpuoyDWMod@ktl;P+4t8&nSEt;|;W$-EtsKJI&Y zegJ0)hm(ehjZ@F}wZ8mxM@gQG)4YMKSs=he;`iDk9bdzBDwlapbtyBC#6%gVw$p5VjlI#8!Bx!>Z8_#=nW1YM?UbIsQAENb1d5bq{Khd&bU-PI^(i#Dadh|s#QtVYN_CNaj`qTS&!8+?+m{!cgM%UBvCV{8Ffon zuEHP6 zg(&voTZk`NriQAB25T%|qyPhiJbz4|`(vMFR+dM?pJ)_FOKJf-G1{i&62Ug+*EGMl zy^*ny+Kl6}Dvc~7z1ybpGT3JP44099gYjz#9$z6+-m-;yJDd8}c9vDX+s4h1hAI(0 z!9aca2RJ{%m#k-L3J&NDewMLF0}>;}dp^LO49Jatw=uef&;I!2Xkvf76;iJ3HSKL1 z%7y~iXgL?^MbEX}P`_qz(A2@tBCxht7=qZ)t&1F7hb+PGrZv4GqjyZ8V+pZ=?!NL= zdvst)Ue$KjExVPgyOGNYTJBvU;6O}C3Y()&lKXoQMyX4>pvegUm3l~|HaE9%(9Xy$ zVsCuZQ+C!yZC*31dGB-{dtf=DIzO}(b1Lo0>5OcT?Ti4I4USUGM>g&~1a_uB z80JXC7PHS*oEW!t9^oOdV^Buz@HLLW^1X0>BTAIUqUC_KYz?*iq@U;WoIv`NhHpaa zxnNyvya%&Ult+mjLn3TDo!1=M*6Iwj1z{Q4mBVzsou}2^+(D(s6D4-?GLh<$+2x~@ zxFEgasY8FO{6>et+yg)ZQdt(GkTa-Hb7+!fmZY??i9L_7O#aX`^yTHlkP{6*3UEFV zn@=GPfxVq^ZSm&QSPy}xswM_)7YTg2w@WKQ&+_DStcjJP=pMQ0b7Zn!Y`Mos2KS5c zLUc-dm=SCSFx@Nzkwh$u&tY}4p4in0ZO@VhV44<_zyi0TVns*EZhL~`|^I8)1!FbG_>mZ0t<%)z4KBG zjl77}pu(wBrz%pZjbW{g!Q%PZAd^ICO68pZd6YxE7nP%{hq}Se(^HCzNp%{~qBwx` zH8q7YgNS(r$t7m1N2Kmc0Yjf9nEKv7m2hxYta|4_GS(i~@f&8qt9p7n6j0mUWYiq$ zOl0DlAJ&&qD#QbApFc|jl_s;(s6(WfBZqYYHWKt@(u-$^cDZ>xH6GHF>>F@dM42np zur;EYEiG>H@=M8J`b_GbQtE6D28PZ#q}O55U)+q+l^(Cd6bb@?HXv>(Z)YJMoKEdr0YGD_=1A#Y+A& zdZRsztW;oc!kmI#x_2rmDJfe`=XRfM$KUR94M-(Y+_E-^ZS+(Qx|SLfK`)Ri7??CR z$^VdmcFkU28Px#dY*svGAky=!u(V_#?F?Vz_SRwTEE8Y7Br|`m>Q1je!EV> zGMvwJ`fx_QNx`JhSatv@KXzSf_MO7ilCjdK@gtnw`jvbeYrTn`v}*Bslm0_PinGEX z@{9KKm#H@DD+-OdYQj!4@*7L5T)c78%*|ZfiAY5x(D2Eu;v+HQ8M9ei*}gm*%daT|F2N4HuCvDv*68yWNSUMJE8M8&5$!Q7gQk}}zaa?duxd||R(_Pllsm&W zm$3vf*A^cJ*t}>l|0E*JA*9Ub(05+vmm9~~NN&AKt??$MYsoA|-vB!M9a*! z!L?@jma53jiHbfZ7~8tlKyqwB&QQ8J31qZ;kX~Z^k93u)1Pi3QzR(7|Hu=faQ^*j^ z2QUDj2(b%hoGHvM+PAo@Yw2}+6qIzUQxq8O$1kQgrvfk8Kb~Bz+BY;f*rPb;>=Xb% z6tN=VCX~D$R*9+0EVWi#bex$g14bE1DkIl6@CCoUHr|`x6N4s6h+~tFEncVB5!pQt zmhx7#>x~kgducaDkY!So^rj;yiWI+{wX<0@Bwx-IJH%>xZR(GzD3uJtg(_4060=+OY7t`(IPm3+MwcW@d$ys@^ zad_P_>)~m}0nIRz0K9pPo~_o@sgAWtYTQ*xEwe9lKnu0DO49>>xXn=7YB>z|D%Pwb zCIgjX45ssY;MgZrty`P1Z=giXNQB>`qjni9ZQw?N^@Xqi4CfD^qCoR zHTm40|CN`Vo4NJ1Rv~;Dx^$J~l5L!(=;qkkq{f(VCuta9_~;q!^ECibiL7%Pb026G;Nt3x zZJmkI4{DaKP^eO|tP@V|^Dd>mMKjxvtO>UvKVyTgl9oPSbsYjFpdb=k8z@L`gs$!D z%%b5I4Q;7>fv|aS7D3mp^O#deD@05u!R6qpu^Q)JlnppM9OAKW*IuVo%5o?K5dkXmm;4}Ure@@wq;*xBQ%zww8cdssvfl4hZISXTanRVl23@p z%B{6pvK3s7neC{IutE|Q%WWH_yLUe>RqVjH*O5Nc{bZ5CohS2&^yjWAwDuav<19jr zOyVuJ720>)lJb^LHq$;GfP<@8$o}!}d?geWC8>0&r7)beF~L1b6o@i9aJ5FZ@!!RE zC6rIJwYT|IG%cpz-477Ohlk9xjt;zOo)!+X2VAmTL?=?y$~38=XYL!!mJmf9Kj+;& z4F#WpOuedx28TlB(H;lx;GU?ge9`MfJlu;TlR>>vwY87?sq2@Pgm-Xa-@0&3CK+&g zIle=PJsdv;cM{)%bWhgSlfvKVA0qH|O4X)idhv4tAjX8|Tw4D_^3E}1%@UHR}^Vp`Sc zHiJ1?VL)GygQ22y{CBzf;S6qx0ETpCn}kFracU!M7Q-jIQ=jv>M0#T}-+bOmCtOp4 zSP$8@U@LjJ_1=Ua2>ee~qtNf{m(8ZpuA>76z0+kt!6(T9ClaD@BM00I;0mS!OH!-S z_8@efa_`s<+C}RJkblX1azMvpd9;jptUeqZS#r?_M~>EF(AdhIj@Y>wkV(Tqc6wCq zxICSnmSBsnB?B9fLw=UmxBQ`|F300m>GmdG*L#a+zRUKn0UFb5bVs{HDTu-Pjs46x3*vadHx^yAIqb(cRxge*RbUpkpi@m+}Edx01rv5CT(+gjEI_Cp0>xKc!#qHO#&5oU&XHAt*S6+l!#;U*W&3-NN~f+XBTqSR zBR|~zB!t9mY2TEqMOH^OJ05ug=vlZfOINgey zCh^8E+^*wg{%;8cP?msSx>brkBxTYC%~4ez9$4k~Gx|~0rQnb^vFZm3e#83B8n4qS z!2E5&wGD#UXLLj(r~NSWu-AWm2m9rfq4et{bilyD)UWT&L zGbQW7F8lbc4!ftL(DH;H_r}p_F99lHpcO@Gfgo%SWycMhXX9B4YGyipF4?|4bMe+4 zP&V>FEVkDdI&kKUAVht9JCZ4K>$( z$ZT!3c}t>s>xRyOamtj$qNP|7>|~-sy+6q5-^bQ#0A(TrE@W%1BIyCQUX-pj(8bU7 zBd2$EjMWyvY0S7uC#vjU{o8yot4IS_#^0!=5dNOc4drhqnra zFt2wcLZ%lp0@pEf(7N-I!j8P$`rbQbw}|A#d&^Av_G zHXEz=F%e)2FJ;PDEOM$(Bzgd@rAp>(4meFp17toe4S{rA>}+g9PpBVAv&=8wAX4no zMQaqD zfGNvmVM`{@tSUtXA&f1Af37xIq!*C5fKDJPc+G4pWaMleg0#=+S$jLxpk1+hG_=i{ z`aQ`qn`br?4Gj$irxc_Mzq5Zo+&8L%u%(OUFR5m^jA$e%(yWMyuf)|N8j0jjOAK!) zM-i&;KL%eiMIJa+V&mJ$8gG!SEyn1v8{!-=6rbz1_#7-c5WR4-UWGt|0nLxyajcfG zTBFD2A58Ro&}EFqFF?@xyp@8zbP+piX1Oaw0YmW#ix=Q7O%u!X2(J)-8*c$>I<#$Q zAU4}OQaH@)Q*p}S*^2Mgz}CDu!5MXh(;T*hcSYnjw6_pNUM)-bJvHuDUSn`yCu*}rAR5rHN~R!6~(zS z7sRl6bQO&=Ji=2jgtI7sdjJA^1<4_11(1~QmVWG07qrmf6&_-y7G?6P^V@6-bGwpF zJKq4@3LK!5)4Fn1>0@!y-^0x*g{ASM9S6&_*s-fwJNR$(NvoDasa}MGqRSe@#!Iyd zKmcUGAgBm)_0XCS#z40XwaEkdSlS_QYysq_Ml$hv0DZ6w#Djckrn}aYVWoI!Zn!9N zrxCH}+bFWUAy7J1-JCbW52ORPhu*^uXVoZw^9L6E;_H$XInR|b3l8Phny;k*OhfIE zAGJ;`yYF*WmekmRrT-2@>hKK7_tF{n<$UBLa3aHgG|!)~IZTrE*+jZUY_%dOZosR4 zS~!%ChybW$@%Ch>0PsnoynHTU0df!i~$K^>}E4dZTvF7-S0iS%A@CB zng3sVS00vh_VsQ0O=V^N#-_{#ohHpGx5{!~Ds#)knx@d)GE>JD7hDPHH*Qm=rWTfK zW@=?hnu3NvVY%j>sG%^L35ZAuf~mm!MQxd;_mB5^pZA~liNC%+7w`ApbIubuZ^it(GceKli=x&Y3pSU;WtniyI0{GiX;&Hx-_RDzT}Lavy1Z zOp(mnQYf&J32E9G6$40TDgPy`wbwco&tW-4nT={~h<7qrx&`#pjednkCSEAt7yLY# zFEd}4tl2da$ou_chka*TsevyLtz7zhY$Zd`M`5^GUch~hK!hS`|J?{B$>E08;}3v@ zYalS#uD+BkE;$7$5JNfOCoC-%FP%7)Q|i~(A$5DOck2wAQJ=-{D)+iq!TuP0ZZ)OXfOx%m8N7poJI&$c?h`q?d7#K})UEyg)8 zXBt{@7c2%MJR0-D6+6QPcyOIV*g4t3RR3Pr?1^@M+RM59Nc%@<{0^_8K-f;W?JZ6I z{4Ue{Ru#FDG3zrKB!;#czWPV~D^yaLWreLLZ)>JfnpIk-m+YWJPOocDjd&s3AlCcQ zex$9QkwZ$ouIB%=8yWK(6KKCmJMM42vy3gNuOIc9=KEZ$*WK{7jvVQ?U668M!ua6z zwlZ_9Sur-6*OrMJ4sC9G!>1_VzkidoJZ1ys6y^M8m4`|XuKSdwAw`Jlv7Uv>u9BEt z9ee#IUm*4-R`=YT+Ww!)K~~vY$-J*!R`N5;uS#BQ?mbae4b1bhyK~qUq2kYG=u;SKV^W>olB>h@L)$5ALeawM3{(Eak-$^dXhsK` zkX1u$?Jt-hY&$%}IL5zv5HdA;GTJ!HOzr6N)S7}$J9*X3O&|h&_ZyQkF=zDH?jGR?hbu%FRC*S{`p`?b{0^Rm*g=k6AXWk8R&e;c;dw5$|1j)x4_ z+ax$nKX%(T%gmS-OS&<-S0qDWMb1~kR@OnOebH1Borx z#E7RMBsB zjQg~@=7^|e0VwyO_w}Op_oDTC(S~P0Uo(r0u<3|0ZIH4IwjbYup#> zz3Y@p%pIX-14not>L@ZUPNQF3nloQH%GU6&ha4OQZag`#b(1ypPz{iLIU(z(uP3Om z{n`@Onuf&F>f9nE<{ z_Cq0mKjM(Qk%lK$dw+mBmMEcsLCuOjh?hL z+0WnA{cyjatlr$AyuRye%GGwYT&3=pV{@ZVJ-I>p(k?;7L>$qic*VF6(^EW-k@ysi z(Y)}?J-%r~Vwt4rEYC+_HekcrV(hKSzPzgw@AsSJEKoJSVvOzfIyi1#$V-LIBoR%K zf)blEyF(Vgw@JJw>o%o=yL}8kCl}=sWeuYAYJ$;P^)E8j*%m24tiaB2x{iOsBqmHw z1yRF&J<%mV>N~Dr%atW0a0w~2)@OeKaruhc+(a@@m1FkL$sxnS)Q`0q_dvEq&6PWlwhTO zV~s&Q5F|hKls3eeOx};<0OxI*UKgLIrF+Yq<;D_zbKj-(;nOh ziHo4zE7QRR_1xxrINYIV9DA#(q1(e{xf*3=UZFNv3ty3*GPE;1)Yx>$e&Fss_3HI3 zM{^_K@DDqZP$iNkk&?1Yy_V(|+Rgn_1v9k(2p&VkGp4g=4Anoa5|9aaIqXX=vbvq$7~i2VPA&>z%KhsLBWE2CUMS&UxC@Eu_} zenVeg?)gR9;)bnS>#{xKVg`XM*4{1yw#8WONF*h3gHGK~4ZwX#{^$t?t!irU$>pKH zae^J9s0);cvM4tKFD?94u!)e~j2*#+EF>2;_srK^)!#%E&&S_GL)Ya(jdm;Z zQoTqrdZIB=Ahq{hL(k0>YT>lq!OuK@Vs5{z2HS%zGx8=;-hCY)a{ob}+@Mz?m7JU$ zQeEh4k~Vf&ZkAFwTSW`^Ih*)7TQEIe_|9V^K3B0ZW}pzm!<_KK_~TRtlte`#&-`9D zT45LOu<3A?(xheklQ=-X)nhxCJ^u7ev&Bx&6z$B11MYyjNH-LMW}1nc>BZd|Jp{Z}t~ad%^q z%myG6wp!Lr8>G6~Y1iir)qSS?WB?ZVutb-~=^%36*$L>}%ryF+fDg`W zXUII5LhtB>#IRVx17&*`$FoFU`|yn-QW$P7n8alFX|O0bE<4Pu!t zg;5kQ8ivB1tL)%dccH^aZ0lE8+7|i8jfEm!8Njoe6Gt19u|m*(ef=ae!LS}sSW0HJ zG&gv?38x{P!j_ca6&9BtQ*F-sfsy$c8AQ<;0}3GHcSO>k4oQin=6DMAnSXYbSfx}H zoCy#7$mb4wlOOOsAT`ujHiv2&c0N|P8ERH@R*c1^lI|{*Cj83;(!nV2?Zo{j~SI+>adw;nBDZS-xlwQzT17>LCn-VN zll;J$zdirLgkGUEB^XzMkGamI`N>LaK^z=9#;)O$*4z66blvF0?%+EabxVA7L*()k zY&?LsI~$DCt*OKZ55Dzs(Gtdth!>u_6=5(Kwl9MC4xdFr`x4});bDgc=>g&qzF^)X zS%qm1R=G|0k@(E2n9Utie+M8zM5j2?y$gyDgNQ+{dxZ3!oCKjq;eo&hTMK+#2{ zUgus%g6^wu39nrdh5XdYQwxo8idTNAvYvYnjFphc3)$IvV$K=C-kGau^yJRr5Untn z3jE3C4a+R5{S*We)jT`kL2Pk9VihqGF@V3W!it20C0h}-U_iR~u|Gh|PoVe8csHxp zkty0Xx*!}rcRs3mIeKL+p! zxj5DLHg)r9L!M1u(7J`0AD4N=_=jDGdH3Mp+8^<46ZyqWpwOY zrh~03JG3qL00u{R)9xXfS^RmEhZ!9x_CgrKMRAzMDQ3z?n^X788B7kM+(VzHEk6NN z617a|?RAzJP($Ga3WcHoX+LIYTiWCUy0QPuy9WDTMXZ7UaxL?p!oEV)Dvn!%BG+Xe z>ZDMMhYLh;h31F}Hefp&N*xPT3J`o}IAYe&Ov4Ndgxxy={QYAe0e1{+nDvy#TQ&bw zkWVaaMY>P!cPkx2gaZi$va>*mJ8*B@p*K5Y!K>G7jNapi%=V$y+>ia(O_^hbS|i}Z zjkn>QSNwAQaec{#Q0iLZ$2susT|d7qBG7(qu|fM?k7bi@vj+B`|GHQmvLp3b>e9B$ zyf$;=-+AN8h@_5h{b*r*Wv7>I{2$_wY9oD=`uxkI`y_k0PaC$(75zTw{Be1~g=g%N z{!SKG6h!Km4F z5I5j+12{ofO1A>41B4$A3S!H_n=ZT50KvlJTaE1jj64Uo{aljYn=H%pgRYcUBE=%8 z#q7(I!3VeQO*i8^G5X57T!BvDI<>!CI}(dJ4uJ@6|6P?nV$aI@pE5Y#a#bGM@Xp%c zr<5B&N|z~*HNa5;I>EikwAZ-_IywfpmPH$2I2HV>pKH=btOnu`lDz_C#9Ao`){`K; zdHAB%IZ5Tq*w{O(*$SG|PdfA|Q$5G!fI^nDeP8PKmjkj*V!7lM0ySm~eonatln6_l zn3y1z(3xJcPN4|@fB5B75&5_MgM>{?m#Fu^6 z_-)(&dw0Ad!D{|8ni?_xLa*!PUkF@DiT4AuAB~5K@7-gj77C|)?SC!$h35)Xf?Mpy zLTT@f#ggJoAsd5?cEy1KJA%jWk1R`N!3gC8^1nR{YmfZrt8kj3u|%YxNttL#1ZjOEpI zr9MDXzD@n-DXH;Kp!oqd zJ^-|oRLdt+s{g_>Nl9Im|A>*{E0FpD{iLLR(*4le7W#_#J_t=p>Y)3#iGEvA3AgyB zx)Kia%|^e0(Z}HBH`JAEe7?CCN%;1gAC+w0{&$3-iZO3fR##*_c4UP7lB`u#0vW#j zJS9s#@@|Hq9Zn`9qSXY$yI)>WzCmDC|0MN5^+Y}A();b~>;OOs$I0C6k%;NTCS=>Z zJ0nTvh=qn=dvqPW5U%qc2MSOFyGL)AUcE*Q`l`3QQhf1HO7LTWv%z3X4n0W$DXqPF zO$Rn#Lb9H(E^`n)O#$+!4UM>Mn@LZ|tB{hBtd1JF{sQBb`mA-etlDU!D!AZL31lSM zV&7uNt^tejHA>E0SJMb80wq1A zBO_munwpy8fy2|NC#AVNiM5hJ4OX>g)((K1C_n~FF54V2G$?GwJ+&sAnoMIL+xA_E z=e+8aIIr8am`eU^fNK4)jDEGxi83I@N;@q%E)A%taBzn&1W{k?j_d_n(g>}GCA-(h z+Zzo=A{h_U30`ZJoFBc2o=WW=#(Ia64y=`u3Jae94~-(&W%8;e$D1T8yD5G^u?4%R zP2**OkNOPtSd+En-ESmpx6E|L1lHVBFuWT1}!STx87=X^#3iLmU!FU&sT%9#A zoOoUMept=~_@6hDXyVg~09~NYazzg&0Faw$&diW5V&2Y#+A`_Qu@pr69%nsaV$Q?% zc>||0$?WJI<=I|ocBJm2R&-D+<4zP2wF)}ZPc<|G&iRtJH|pnk+DiskE(_?RY1DW+ z;e943>?cg;&d%JIwCxM`k((DdiiWzMV0+OICgQZS%&T5cb2)`Vlv4P(Fr3*h zNRHE9O%3+mgF(5uIt*@5=} zK4?{aD#(q!0XL2B^QerQ`_*9DmVUPwziFOCVg8k0J{@?|X_resd1sd@?D#(T)9);n z+Kbb{TT9|0H0!Pd*jPmt3+_O9>y=A{b>utNhuRp^r)@;QA?a)}>Q20%HYsThp&WSC zwLjv(0b%G;_wY^mbN%w~%?Rd`=Sk9Qb*Bf2G43Y|o9=<~J!fm(!W|r1X~@Ob;|jt~ zXA}N?m58v>#MaD1@tHBg1&uyqdh&z1W8+oV-Rj6KIV+)?@p5Noz zFFqaE=?d7~tpscG%a_Bh5QqUZD?_P6#BcQwFWiI_{96bATG`;cc9nc*UokbEP!&DC z$)({p+HvBosFSbrCtFZS2X32}4Gd^-F(djh7kclELuE~`CeRDGJ04E;+>GFBR@$Pb zs_kd6O-&f6H=(?E$FoQ7IjunG8yZ~GO6(MgWV>SC-S!aebd3@ej;zyy!zNP7I@f9B z#SEEH5Mgu(@I%%Y%Il#-+~!InDXHVDD*OmJKK{mkAam3HlJ7%qI&~C*7_pa;nI+nb zojv+b$xr@kD5mQ`_M$%M>2=&h?CeqZqm2g!5NCR)awppM3rcp(C7w4z>Ux7MEnl}Y lyYp{`0IKlVTCsIRz5Ebbq z(k1j>L+B7f;7(9~?VjU4|J~<4&*4v!d^59V&06nz-!9djfyUv1sz<l7beEcholCfp>h zv?)=x!KD|T9S9+P+^~19IH+}IJ5W$SGvDa@G;j1xJPPN4vuW~|hb9^k+#SA8Qx*|F z%2q9L&(?N#sL;Azd%ES#Y7MT`sZss@aCMSVzS;V4}jI*Ws_y)j^JpHRj1=k7G|73qzlEj?|M7@|#VaLEp1o(QL(T zMexQJ4Yr)s>`RJ=cux0CcXXu)nCDE^Jj+GK3mOh1EOU1`_2{n{BaBMyqi_%ES?20( zTf4M)yfS#EG?@?ogszXF|%J`dzoF(3FlP z;Z^aCYQGWfa4&}qcQ2PAM4zN&4gH2BSZk_YR?hK>;5Y$uIMQ!@&UxZc+5Ntohp10% zi3$l3B*HKIdYKmgy*A_Rf4@m6Z@aL~g^TIR?T|8Dsa@wS^9o~ zX|7;U01fE^u+<0^8CT*k-u#7md^R&>C@v)ho1)qhQ{x-f<}mAkv5;Q~(Y8T7w()lv z7A-T%c0}i35GNR7RHsYC)>q42=K@U^@AREw%_}p^{jjU^eY#2AMcH;Lm*zr17ZQOO zu&0+XsX!xG%h9PHx3}~1^2qnHDDIebz0}>!ZPxk8Iusd8sAn_dV(?Lwz*&xtm>Un^G%v)_bCk}B5@A(Bv8> z4Q?|-;CsgDEuSY?q^v|H84bq0%kHEc0^{gqsKxRkgiJo(kv{U!FxN7^Lx1~hhe^1EMk2A+QxLT7}k%LE5E4u zNQ%aXij$6r-ab~L8tStoyL(xLyBKY>;5txN1Va3e9qkzz9+cS`3>ob2D-iI z$&*GcHYv_&b(LcMF;P*j!7bC8Yin?k zwa88R+_}}pyBnREJExUv&Nu{-R6)H+7Ev~#GSI_%d|(1 zCaav95y7r44zC89_N2<5@+oIy=;01f1T#xUZ9-xonTet*x{s;noSFQ-J5(FbBMAN; zPj$cFnH$<{@NoS0Ab!(kit@1AtjEsCL|pi0GgPrT+mDI0If)xjUnQjP%n|4B&0Lz! zkB1uZ*_b}w*lOeond{P(Z}?WDm7bK~oG7-(lK$~?SJKMDu^hw9A?$xlZvINuPJ?_= zo`Qek&bED1Yx5}9B-pAa-!c~-Lm31s&)0-C4r&IEE1kQBd$dDTBu{;z z;S05Xyt}5hcD)?s8SklnnoC*t@kSF<^Ebs)Y)8K-NLn*V=_rGRH4>XXQBr864E<#v zR>{=nbDSq}e0Kbbw2}drZ_rGJ+00O7^r}iinXZFxQN4QhV=tM~-z)f2KD_iS;_ysr zV&Msv)HNxdX}&}MHgW41F?$5~PAU|LbZ0-yhFJtBr*| zH=akae8wH09vzx=Q~Mu95=kX5FY)!c?$F)sc_Gw`r?hNZzP`R)D0e#)59j|Vm?j3R z3k~lrRuZ&e7;;(Z#-R6byK6lQBk91)j^p}qzX^$2?dd8JX>JLzu}Xp4YwyfT9U1bk zId(ly_Ft4F+VGr4!-VesP4IPl<LY9V2`$bL?*NOK@MnT2^?x zV+-2Rg`29~BJ`{OT^dSc_hQd&Y0)?@<8#${up)LSaMKd!gg}Rc5VA9qc`^K)X`Az$ zf0tOaK4&0Ji*47Y5@1*IV7QVO+Z%YNz%oWV*wgHPPnQ1{=PqTAL>oE}lo)1ke9rq=O%Q$L1xH25@6)TKS=ODnp-#FF9*n=u{hwZDr;&{e z^=2(mZk)2jiRd_+q;^R|A69(li}b%4cX_sG~qvJZ^}F z)#st##)7FJo8QbOUkRSit62?4E2>{6^lJXz&!ner;nkb!I{e38aMi)Dayd`8B~1># zzqJN`gDoW~?G69!?=RuQo3@Yiu`X7VT$-AiL_(ZRrA+(?-KWBKF$upvDqbyW&dfIC z;QMUNaRTXc-MQxSsn0;UEFpa=Xm}>znZ5DXr=F*OZ?itJp56DF`r`2r+qOi>9@-gj z@cj13o0GOGqXgz8VOgnh!FKt|C%^Te)cbx8T*`YXi6axy+GX(D-gum$iyQrJa;aDl zyEA`tE?XFJaX$wMU5?tgfigMz`)O&sb;Lx6^2%gvYT+&23jgN$uPt%{^#pU4VurkM z+7niscYd4euD;2ZRi}I#vMWQ7!Y{f#uKE3B&NO!I7Uc6uWPzX9#%%bZX0HC;H*ZPV z566b;?w25+uD|T8zQV}zH?>2YUU|B48+GodzY+AsahFnR5ZoQ&hC`-PVJ$T9qN)Xbm1xAGsYrNa$M2lh>7 zaxlD9-br+Vn&$ULyET&@cvJA$kDbx;QSpCm;X(C#fBy@G6P-wVxNm0uC;cUx%}T!+ z0%^MYqzImR|yG`rX(%VS-F5)5eV? zVwRWl?s&f?GOns_sx`r3vME*!zO&UTU{+$1yV;DTOzlBpO)0FY_Dp1b z9%2+w5;jY*UTi3P(f@wG*t-gJeT?qHyMsOq$u@Amg?NF9>@_#GZRYYC^o)OlQr|X`|-v$Ti4bv4~)m-NhBz94AJ-pyP6B zYHT#kUGhHh(7GyL)_^ja+|SWCN??t@A1!)YIv=%}(;O}`%cU(p)sP=P*TckPcjzn` z5cZpu(BrT$(YEW>fws0&Np9DvZp?M{tkCQb-O9@C4cXwRjkRgm?{q&uq%%#P}#l0lFKr83x6#2H+*1;^w za_}C#ZE>L)7b7&GHGstM{^WzVaclqGC?58MbF~S6$<8si<^7uOvXpi6@>l7#opURY zTK-Dct8-(fE1NE;Y?EE`GS$Uvb&f*ul*g<8c>E1UJUhysLs@k-r*oK9C87l#|MVr> z9ZAQwt8dA>hsV7j(f?H;BeNjp)U_1hOFL*ye_MY0tFwgOW2w^NDAA{hi~t~!7?1qL zBx-vf3pR=W*H$&t|zhk#1m8${RFr z?3Sv!ItiRqPkQ?5?K!@V4DX~wIw~F4Ex$Vfc;vmP`i%WEpn6r?|AR#dNS?l*?S{^) zXC`_dw3)Wm_fwX_w>wHmW!D!P9jM+|Y@S&;z}V3jSkWHE#dgz^xvR`AACi0C(udq9 zwweB-j*Q}w7ymC9rW!3}KPe)4wMw{G@U_;ggG2vB*d@DW3fs%Q)L8BjHOvd_Vvy)m z646jA68URZpHd26UuJX$<(rH20|WUSw7w?JGa@P9_(6)VQfQZ#~-N&jKXRI#y)(lm51No!%K{rgnhzY~G5_#vB=T}@g! z;b(pp-{Q@XlF#QP2A()}XWNmHh6x*8=;>H7x1F128+}*CozNF4+#)ynz_Va#>}ATj z!!9ro101iR-kq2bo^=A{_MKN%1$b^o=TBhel_SwB@s`;vn|I^?W7N2zUb)@q0`xlE z@mrSa0-=?+!uga;OOaADIeSs-WN6tn9ExWh<4!L?zW3M_>T*6X;Nt1@>;Gwo>&le| zf{RqX8r$cAfnHyhuum$#UiB}iFqp8jVea0VOJOrd&>hl#E9xc91+CesAEi8H=g*v% z^O8gF>>}#$-<6ts+rLHWXIW>8a!X4;J1@}}uB>fpHP9wNVO?*`p1e*k=5qy{yi}_b zou?v0rEjoC??;d;jmfxD0LCsU0oxy$4wQ-V8y@KN%Uy-jAm1NH$cNfik>0yXZ)CMS z)9XF1Ez*N#|5*t7;Mjr;#O}XN8;>wHNLSWY(CK?QLfAb0viOGZny1dIFK3Q8EK!)L68YqmY8tl`%)X$=g zmkv-dj0ZaVqskBc+8W6%jeaA+56^Ww2I7X_28={G=jXYtx^at&a_EVl?=CH9<%11> zR1I|Od>31|$UrO%ZK(l7b@EyQjNUS!aERc>QCq0Xp_C-WGuJ0NW@^VHHSwp?kt0!f zi{~^abk<0OsX)pxijveB;zb{a?7cmUSw|N_SW^PY%w}74X4Zoz|I?Z~U$yFDE=er> z+C-C6PaO%7p*&VGVo0>jR;iJetl+$rCEUJ^hAs>H31Yx0A8{;~@mwuqMz8l$)Cdm} zW-R7*?|n;|L;B3RoYKVaOW5cjkUa)!tWohL$KJP)P1u3U#v7a z4b(q3;iLbs(sdKkBMS{sjiCfmd{M5Q)OFhprkgsYZ=V?CLNw1~CPvddV<5wyRf01U zkRp3HZIbs-)RB|Ps;7=pam#Bv2*rh}UW`!P59`ee6&p180yo8D=QvxP zY2}yiNR2!fualAv*tU!@=IpI_N(l3=Gj-xdS3iz8tlbFH9;)cJ5Q+#QXUq^Vt)3DS zKpptxpAoNZ);;>1E)RpCQN|Ya*vjm^@O;G!2}QOGw#uv$2VaHBX+=KQy+Gy%dH#gt zFINv(YK$+>yLNiM@gEav9LMEOTJ29qTYB$Sjy|T$Q-lu{&T>76EyM1;xsvzdGwt-X zZQ5TV0yuX4#I@vY6#rwbdHCs8U*hq3Gj!`)f+ot>aAt0|#vbR+){z%4m#(n+GTm>T zSvSe=q?&AHaX&>Zc-X=G;8)lq+UHwxGDcq#5OB^_W{t1D*I(uw6LmK!hKE7QA-HZpYNj%o?*@D=Us4>gcS{Z1xh!G8#P3jouBur@9&vAU>tSs_W6I z8S<3Ycx@Fs<@{Y@I4tpd6CcbjZa-M$caXN5!egQnRHiocoW_BFw3Q0`kutWFwbwOjwCbOik_X;E}^k;~nukJF8fOV%t^$w>r01 zxt5509tnd#LBdjim&UU(OOK4g>%2D7nA_f!tclHwgT188G1#ex8)p-r_Qk%DtL*Ld z_9}c=b`%~_?dY-^++I(6MmXec!ivqaEnzaOr7ErTZu$pPr=1)`m27kG8hUAEx2}S5 zqF!Ky`dEgHxrRmG0$+g+@hi)NcWLN6^6~@vHc%1GMur^%_L>{0*7s^3h%TJ z#J|Ww<7rq}7~==+l-&rKtK^1UM75e`g7_rTH?!#k-q)=#7&s%}DHi#MT63=aveiop z*5)n#$>(p7N(SjNdZCg04vKh? zN1t6nmRk40xxn>LY1ejT5W6Ui2(5t6<>XMp?k!(m!&#j9qG*|~0!0m?7+A9Q2Ex`2N{dtbC?!y0Y`2 zXRqa64ivL%zAY^A>hb&A40vki>Ve41jBEi*pNEbW1P=gTDCvdxhesVUq7tmK2*85` z_EU7aWZE&Xft6>lxyKDSCwKC54*HBtuIjPSj(PR4w5hTk)1ifh3+J!j*JwAZr_;_v zZ#bx9(L~Gk^Nd3^FD2iIh!)#}K8*95<41l)zX^J~MAxUW-hj8x_9hIK-0u_drBfLp z@H{(wN5!DqX0uP+8Mjm9x9*72_I)K_UiJ<2oNVEd30{D9shPOJ^Pp>~QmiU_db$fk28&JS|bG~mI5Aac8O5Y5RwZJ^J7=WvpR=W_^H!Tz>@F*$B)BC)n zQOmd#vMfRqXO|Q4%0wN=?uQ2qru^&Zq|f z|Jrhjoeid*)&Cn{*EQ#R@}nh?CwJulnrUKBIu1j+48q6RXC=<^o7?~d`W8arF*VD? z9fpYm_*S>V#0!R?Utk^V)uVv&>W5HWLRWU@aK)P36&m$NoV;#&xdy^&Zy6~fuT

iU6K99b)Rv2t`J5CHqo{VqU{c2<6Vom(Z zsB$qU%Sb>eCGcs-ygt~}Bg0#3LUR&JL0xW`L;1#TMAtgN@@wKxNr{XWV<2MNJ__v0 zu4~0Wx4t@|V*@;s`n;&^2^RR)XwR^MpPv+q_kgRIL&xR*;oX)^p=XCv`M2?vglc(W z;Zohmm^s>S9TO`H^V~J5#8~7}S$ZrFZhg0oa2_wdNIC+4viTRC)^{Bpou#MAm()+i z9t`MXuMW`7p(Fu2gipwM2`BrcSwH02O1(kq(tJ82mZ0tSo*?W(AaD3<$(W~M=qEVV z4xHbsYLG$e$UaK&03g^Z76FXhlTU;?7$hi*|NK>&j7MefSJd6R})|IKvw!J-% znAGGuJe+yq%)^eXq}bT?XV9Szi?iO~;B9~}p#^F9xlWeK=Qd0y;O}7HUUMq2A1Ggz z-(GHCnQWe|XA6p<9rWB1MsMJpJjTN%Tw1Z%J@fc=l^FDs_&!6Wg1|(_GG$fwem)rH zJ8xCMEc@>2P6U_kvzIg`+I5-h3o#GOhssoP2lI>{PEwXT@N2p8kdUe;lG5h7NS7(E zIItJB@pgAW1bU*|l^Xaf!DJQr%;zJsV8hj2AMYy86BPCYHR7RgNlVvShMh%?4vbSr zs8BUGCU0OVu=&yf?(keG&$+eIffqY}VD$2vC)s#Qi>08cN&Jk?BM%3?`kjO2wlJME zq$>>MBVBwexf9@+o9Cy*EE;bFJVlDhePiWkYzE}zK-sv%GyVAuf3Cb`zRDdF0;_j| zD=8Ev6Hh@n^N=VuBoOT>;dB|jNuT5ym$up_imbIjo9WiSjIw6Q=rum4bP~r!0p%Mp zLs&b_G)f)S!)Lxk?&#ANCJZq`rmkWNcwoen&IGg@69Ak;PNuE#vGn*=!2(aIP8R#B!~t58|ZPX`NM`1@*d%Zno_$N zQ6LZ?<(r)$QTsL4E6&#W-PMRRlskhg@qHSt+*PE%=009C^dq*ka(PN32js5#qg`Uo7ze(ev43 z$2S-9!g{9sG5d7cci&7uvH9vtb}3tTJXp9=G*v_ zZiN>>C_1hcI z7Rul`^QWY5cd9~2UAVr-E-|3-`R(P{%~6K*2sTQcgPbhB=DpzY)bmOYz^Ni-BvnfC zU*JOvv&{yvbmth|1_ii>DN=uS-nTQX|2pSBS~W2BnC(#73&>%QcYbE~O7Wo1dAGe~ zS()eyBC3!cRw2emc#p0RZgI}(?}dSMg)2s1E6|r@7gX{I^Dn&ldVa+7^6b zE~TuS!Yz4MHeVfjdLf5j$L|qi6e)s0IaR7xZ}w{o2J2;~v%_?U1bc|Z6~p%0-K_7} zYd29_%(o=ajGH;SB25$-*PiS@EC!S|l|>#S_ulm+Jnyu>%%-^W(H~-zs9Fs*<8tHe-Ro zkDUic2qg5#pC*@1eX&8q;Oiv#UD&eZnS(iR@tR1V>t0ZnSFt#ki$EPa0}8PMG6SMf zX=9+;&O`|bsga6#!$dqmmx3lfy#D5|?>|nEMBQ zMdzG1blG@_zX_AEPy?dN*n50(KQ{j?WHT=PG`#nxT3qG?`}a#3u|wx}co(H{Dw9vS z;~naoYcKzcg7K!dcy}`;4YMcS+efGlt-|s3qOVZe&cJNcjdpG(X%kfYBvD=Xg&{Hc z6my;P`(|UZB1fIT$0ipeBXO2t6b*XkGpr8(YkopO;_-w~L?;Q(iK$=~lBbru)9{m} z;XaAl+hPUPKk86&dol;(=TkhnYdsx;-GV(+AC5t6?NJeYgcX?2i7drLgM>*?{qDb$&L@fU;Kn$x7UCXdu^b0_w3r zWaLY1)1>P6<{n z#Hc_FiMq6JM}D-hiVTsTCGe(klTg-K5=s4|BmAA=bG87hm&>J)tJ~Kp_&V>og&(a; zDQ$RlMoMA6$RyA_E@lAbdbBInv2 zf%|NQ7ISHr<7V`J_)l681b(+wTP5UB6Xq7T6!D&tsBO&d+3DBAL5P{pGz_Kpv$=(| z+XFX!r@tCe5Q|UcTHOTl>Z+$d+nbNCsRyOo{5XA9f;a6!2^-e$_ajO1pbL=_!$YK- z*5)=%5egvYHweP_$li0f(%e|r@w)JAJ8ZJ_T3V>!EAMEL9r7fo$A2YP{>KM!cim23 zR#MIIezU=WCw>XuVy-QW*x&=~-9L2+xb5=$9W|l&p%O7A6e>zoGR40j?Z6@Wljq;h zH1RQb5(=_Ri*FaUv>15wn1&c3#0kxs`yonR4FTQn_XJ!(WYYcqGR-|1$>s`+@s14j z$tkr*|CTh1PHeen);9nnRysmMNbV;YP=YYkm1%GFadl@tl*zv|2!Qj8)0Q{%Ag_m* zmGbgNDt*Z0!v*c#KDxW@wCaSu14=CbL8$T36buzJ^ia`jb#pkV6SPOE`V-I+pk>I= z#p?ov`TD1i>1BOj?+p={b(2b6DTn$eSnvaIL~KQ|X}(|{`Ojk z-0t-iC?YX0ho90=`>RK2K>(e}>dGzaVLAMsY(M8SUac3!_81_WNIDtPLUGr7RXQ_p ztzux}`oBlHj0bPM-dP-uJq2Bj7jll_2f{{3L>neTuzFTTYPzY@q2aZ87=D2qO-Q}c z>it2S#f+)H>IbE}({k|N+G{@zb(lk@Wj!KXq1orqP@NM$SiXN*tIsX}aLQOI3M4yc zYt%b>3WtmZ63RG@4=8TFfg;DW->zCBnUb2+)U}Jt-mPsPgWEp(x0c#Fu-RHZbn@dL zqx5ilRR2uTA_D3LW8%*86nEq(=A@7zd1D=O;_^pG!D1qCOwM$N0!8F~^es z#~}W@-Glk$m(W@?$gTDb-_5h|@AC6YVmfO40w!PMi-=UU?RW z3v`t#Axc_;WgHYhmE`A9vQbGspWSA-l=$H=Ixbid%LEo4ty^E>;04S&_V-%{|P z@tbr!ur)>f=wB|W$tN!YxztSDcn z*)*t$5X(h7ua&0mQqa!)bPAtYl}Wofj0acNI?&ek`d!vtMWr9C<9;YatceezpR9Yw zCM7AdNGB=aX~V0UpX^^F$%H&klV9aS$FHHohX8#t4zIeiUxbX!*!cow=>N)iJl73K zWnjznjY*Z_<}QCyAf`GW+O*HK2Qco6;r}|b>ALWc3NHb;Quv@h43LVZ0STV-^qz|r zRX@t$R%dINY4y~Ue`t@^^^9kwamJh&d-;BA0@;473K@>reAQlm43MVQN*0xOq|lPP zg>IzvDu=qj4EBGey#Ij|jyx_^oM2x%jBtpE4m}8L=bX2;SPFHo08(N|OH0eg9)Czb z$K50Wyi_$LlC8KwW?@M*bh>IRYa#6Z6CLpQ==+yj98Mnb!*ip!DNJ{r z8qD{rr(fU^5QW>`UgIF?k+(x!(1yAQNQK9Hl^*2?qnHHqD$KI;REsd71{^c4+Y~x) zdxeBKi`TaPfHo@`3Ra>UnZ|9#hWuc; z{-YucOaBm($oX2n_jpzPBF>W{ft{jgCTg&eeTY)eR!izw=&PN#OJXo>Zs8w-FQP)= zdxKT9LQH{qV4N(JL%=LW*;1O9pnXx5Q_uDB6?EJtz4+m+u>a0wnCh8uD7Vu-A=)MQ z39AbfPRKun^!DO?1PT_k5W?v~Orc{MXC3{^@ za&62$ij*zh%3mnVkHApS-Zet=@n7>IF0=xb zH*er&a?#gvAt8!f`6w`BGwh{`8544_SklsegQ+Koh>cHyzby@1iF{;`Yxb_ROr7i} zHd&xh7x-@(Db{0EGBw$D+7br_RggEKOri!XH(2CcLMW$!!s?d}LU z<+~O?J&IJCUFQVhmSYS0<@JTaz3Ip0QAZ?$z|;W8Q$wPEY+*e9y*)e0lmX$i8wD``I^! zh${e|`iiau(NN0`Jk>mA=u-_a)R_zk`hVr^80hLvh^J6HV}GsdN?1DOyDvLiAPVp) zqp>TSXI7siF@h_o#g7ht2|jYXY`()BM+l)h*AUo1LFBhJ%Qm!~PofU^yt;sA!{OW> zgMK%c&<FUv4ka>WukZ5`0N9UOFLJA*Tv&bXvN zby~OmL4pUw=moy9BG(8rqFZA)behg=dAm)zySQMI57XvC^nXG8(q_n&_~47%D#{ zNJyAXCkF}y#GpY+ClUjEfd(|u*MY#!Jo$hs=E*?(zDIRc<>D_gKFSfV z>Dt6W?~u1*FSfdkYv=VddHq%zzn12khpKUc6D>sH-MG>3K5@Tfa8&{7>pf1)kHtLH zn*}Qft?(vPw@1{*v#m-_C$7Ru9lIeDrW5-Er%(pA&C4ZQCh+t;+VoZEH_c-LiP1Vk z0-+|@?POA4^wIB8Y22GPx+Qf+0$Eo1Ky3w(a5*N!G83urxB>TGwU#0X*Me9d(!qR; z0vN0_HmkJi+ZB7)1&UysEtPMOCSjy+_#w8;aE{elVG(MIp|iOnLLg`?rr%iJDKEU1koo)+X3XG$O!pqjugsN5X`Ltb% z9!9fd9bZEgdBSav;!&@cRq+{Ct=Ng2+bOLUQWJ77O0GQIP&ehkL+JSe4_QFon?oIrg7YW^ua6G(4Fzuej`0_qi%K1oJ z!+lZ0O{YP)%St=s^4UoPqPWL&62`}rb=~!2hR$Ro0yUI2qL*=l<7La(d_IGFdt-RT z5~6E=^r)k=cVQhHktvIPvoYRE=8CJk8pV;}a!#+7d0j-tVj;#^Ny*7@PtadCB*4wR zrKuF*ifD+))=HA%b8~YmFud--aQid`M!sH_cGfSPGCo#{&1ndeuFX%$B%3NV-So$w zz|-Ku%KNus8E}eYyZ86oYh5jdVn65Ogi7jj8v6T!zHK~raVj92`=dh^`jHM2IZd)3 zi2G~%&@u_Ka&$?(116+E_@u!^z`@4`_fp28W#SIzDoEqAV3nO)9sW(TjNfXFha64Q zjaZ!UBQ+61X4b{-Zu#p}@sQnyE;amhhCXfToCf(0qX?Jj>6~ufmBc#vnk~PyomFX5 z!A_UX4Z8W_(on+*Ie(|U_A-rfrCQ;T^b|_9o~k#(XtO2qE`X>?C36VW4m>V$y9%E$ z8Z?g{gDd;fV7<#3n>NmS>W(^!z+LR`g|a zrO1deO#20C6;Oh-5-0Y^t9+cx{Kir2dZqw-W!{?Ae4|o2T~B@!TKj5dZ?n6a0U18( zeeuLuCoOB>nBhX`N#Rc!$R{Bd$AqO_!uO(NH!SM*BEJwmg%oCn1Ypf@PkEOO`2=Y+ zOH6frgGhR$7i#?I9nmDL?w36()^Td*%yRk6VBHJ&mBGxE)Mezb6*^7Ya8!qT4%r2Oi2W{1jTa zB)wzQgB_=AE^-pPW_$0R4ib{&&=ay;=Y?rxs-Lv%Gia~QIU^)|76V(&<%8yag zs*;Ixq_SR6y0d|~K)AY2FnyTDK&}e5D&KZ^HvP#(DvDAtHZ^YidBYPc>gDzqU zaAbn|(aPwwpH{im()c2;)LysBYiqO?B=2h@LFXo+ZCi%de3Sn=XY3H98yl2-7zFs) z6~n!63!J%4cs{lrioQYNz8U_)7JrUc8pxT9UWhr25oyLc(JJk=fbGVlELB>x=|;W! zltLTV&_R0Wl^wEx2uMBz=VBg)m6rFv2V1N!>{T|kRwCv&>;{_~%n-Ho*7B~%QIU|U zurzOKYAGr6mS42r2JN8Z^ZKy_^A?)KX&t;RgKt0idf`bbV+wp%vKx<{src>q65rKAB#arvb%L)W)iqqHf^Oj*;#)Lmp&TgBXA5f^q1H5* z!0Q0Ihfse;uxh7oU2X4v2ET&~Gt{q{Lk;n{jd$f33nppJlYxh0d5O;{h&!<%Bo1Em zsIJw-F^^;jloN=;7QQuL@c?`>R{pr4_SgD7lP|FNX>Yo(7>2j%f_v7-Qqms|*BYKF zT6<{_C34#T+8gL3Sw~4u{yq(e;92P|6+KPm_~h37V##Lw0!1wPD4w6+f3jlYptXO_ z3OR)MaP@1ObWOqOeyRryAeQNSh|BSu+FQ9GrpAZfF`C*moS<>?#r`?#`BEnZ}s zlwf!Hx3?JwA856E`j}Q55j+)zBwXe_(<6p8tx^J=&X7g-(i&iUK`habdjm>UxJ8qU-JFK>duw6G1S;FfyHF4Sc+0gwX&)Qd(@?)SfbS66~B zPpcD_``?a_B1KlQ*NAa5KKEwP`bxXH(#h{|vsU?Ol#soWTP95~h&bP!ub6AAC015n zX}c(f%QV%eU_U4}!S=qk63|osxbS3Hpa!v0S2XP{|DCwuPo)Zmjj_lHY;=*5aNGkL|r# zd>Z@SpLBbsqgBwW~@`$nY#<%JZ>;#iLTdOg9N_)&0nDJCDjDo>~NSf_C#Hk7><^KAq8n!oE zw<{yOjPdM-I~!B(h7${$0V40V0tVtmepO15 zcL{4%T`+r*f#};3e`O5GoAQpGbULUlUI@jAp)CxkKDc|12J@xa&Uy-aIOqfWv{+BHLyJ`TzJ{*lTT|pKR)J{^Y5it~ijwMvlJUid7_6obuf@E{6<*X|+m>|)wK59DD zcL=KhI2OGq%(8-h0lI$= z|HBkPnv-nDKJ6_D(FS-K!a4hkGrVWE4wN*zgjZBR@z9q)m;kNOaojT9~Zs_5VCG zPW^&%R^=o_RyL+C#Y6Ak=W7%`vs1OC3;y5lhRBgxswhF3ic;10URdvPk4cJ7_{gTF=#eyZ@eX}` zNCQ_9rJBd=iWxf>IB$3=w$w#uYc5RSDXxcK7XoggsON5gJ|uiXc-z$ZEzdG`zI;Xk}>nj>JQ% z<;#G8VbpE|-W8UqrPhq$?ihSn8S@=A^U(Mc;Wh8a4p z%;s&vga7NXvhHed^b|&&!Wq~@tv6i;UtVeR?=PpUYUAT8E=CZ(g&7bs#ksNWUPfm< zWgY}kGIYi60ISEKzC5#&?@sV#3+mU7F$NYcTC~opfqfjBPX=UU}$ab(eG)18rxESL}9*ck)YiN>{rApU{91{7tGoyXToQ4e4*4wUdtN9|p;q7?( z^>Iig-&}=~n#z-)VQr^rp-k^onaa9Zb)VYtuCCl#Uh(v$i5o2!nP{#M;8EPIuefHj zRUAU942=$|UI~)OYPj|=e9S(c@5;+}4vMhMX9e?4NgwCJ3)92;zdL)Bg)%%i)W%As zt>Cpf;EvS=cS7irP5O~AZKs~RC<)KMwg|@$aX_(=d(FK!-V@ohMMB;h^UoR%zGh-# zGU{VldLTc)qP*gSP74^g6boIS+%qE$^yJ%8+>46~{y{=Ov%Qv)Z+o0}wG2}B*G|n0 zTl?NwhCfZa2E>f~i0)N2%9^5O>QJ9)m5RkO8vBK{-Y{p#$G>(^=L&cf1>@A4B131( zMJ|{;wRnydQWWe`iMhnMa>b_Mi5#n5RM7YFX;fj(mL)Z%U$9+rxU)^CHvaOV*h6-- z4>K=Tnqc6vNkO~BLN2Ce*^Te%GkdG6s}2(lQ6+&SFJea788RFM*j!fmtcHwCLE|X4 zIY~3hWf#!J+uGDtv^zfuq=ay}#jC*iQVzo^&X5uTO00CXo)E3r`EIp{%Jd$tuHr}+ z{fhw}8y_UhmiN_M(*~4&#&TOpTJqB(ezWM5aOY(?;dO>N51b@udA1{?$8H%V|AlzE z^pJN{V7=(N(Ji^-tAMbBm`dDMyl%X|ZPTZ+FV%g$($Gqyj zzVN#s_-@setAvqL`4hylv{zX#I1Xs%C==wVQ*s|^Kb5?dz=S-Nc&VkHaf$mLV_}E? z&T>5nG&_+W@#ztAY2YG{c|YImLhHqHiu_<5&u`__ov#4y&q$1ZH3BpWMHaEiTf5@# zJmfuW*j0&4Lk^20eHD_GKzBdXZ!))Hxd&E$e7)N5q5yo}e|-Lz=wWhNK1uGgl%l&x za^Es{Q)64&+b2(?t3JSdC&3k7&yv;B=2FdC@jF5y{!|t~)m|Q}?P<(Wvj%V7>Ow%} z-(I~NJaCVXB2FGYM$sPvW^Ho2`QNuqUx1;Tn)?CkLWwd>DR8~DuXIy>RRO`d^{o0` zWzNghv)xE}6*e{s-4BU`c2A0m$FJqMv^c@g!&_27_@c1y*NvXiLcBB9H-)$3;QJ^i z=8!TOZ-G12GWuIu5CRpyT7ZCfow+Zt9l&7aYth`c^zGkmMX^#LmBUIa+i;6j>2{&ff1pq8OK?8An zw7$8#l`nCwUoVQFe~Nnq+ZoXX&u|thd(`z^cZ146>IZ}W2R*27(&(W6F@oib{Ei=+ zwT@!Ai~3M~UE@W9KyRp>8K>y0pq?1gJSPMfRHR{ zTS5t`FuN|R?CPN>SP8nJUUhVIWZfNi&O zgsEQtR&YCSUp|0BQBf}m1CNW`&j>ZgMMbI7uz2wg!iTRnHHFC30|EMM`gN(k;C*8F>?VM3np3MceDS%sq*`$ucvG}2RqVkZg7HCciGF8H6c(PrN4=Id zxB-~Sc_9i1R|hS6j{mOPKG7JmOXMmd6EM1dhaLh%crm3RXZX`I`-rooD+`a8S0+Q_ z5Zm=zWqc=1S>ac5Z>5Gz_Up6qLmed`%c&Mryl_qph>`H8y72Rs+9Pla55DpS zS@#VnDBmc;;;%MP3Ts-lwpbFK=2Y;aYVZv*eU17c=z?yg^gn}Fo_z@ZGIx~3VUB=v zNMSZlme}_pfl3C@=wX0H+f^}dR0J$eTPQQ{fmD@+il2o<5ZRb2&2G!ltXmdE}7w)eWZ!l_p<`@CoeqjV5S26u_2UX zFMG1W`$DPYh>mqo6(MT24i8!?mLE~nvA5tKch==ZF_6+-5I(7`ejXiP6y zY2k<3aXU&q$q@^V@ZldqH6?@)RbwE~F93vlG@n&+pXQaCq*r?L=7kN%ROF=)aThU6 zk2;XzDM14siJc076W|7wS`(MyAP9cpe(8k*WQX6}OY?jz!S;QoIg!yI`{s0_4}U9? z$T0MJM|R>N!^7dJ7MS-GQg*dJMZxWRlq^-*&3##VKX%B!02d~}p0DoypZ2~qF6p%U zyJni2@~)<7)G1TP%&gopOHxy2+;hpy)Lg(Rx60H+kzCNGGD{OP6T~&QEEg(Z_$SQ50*HCUl=DE+z_F(^yL`VuOFKL994J1Hjt0fwLj=iv@>hRf zh1mdZP|$B~mRoTGHw((6+7e#vTC*pC(YTuGShuPsKZAq}Kqx-!sc|Q22>+!bLDDX+ zaqnu8IiwNlGvb!&k)p2{^`qexe??)4@J8;Gkyf2ePF$^UF{!HH?dXQZJ+R<(U4Nkf zl$Z-3f~%4nESV@4xe{CkkeivF-g5u@wIIY#T}>K&wr^9+;eb4%D8#x2J-`E!0tJ!+ zu7$XsJ^)mO3Ow9wQ;@!sgry>x%vL*S!bES$S?|o`Oz%2o*o${=7rO4Qjnb;qZg)&d zc8BeUT=_LB2F2^NP+Z<2dz||8&*$HDH7pFhcwrpXAb%C1w4l10JX!_I!BFaKMeeDj z60qwagB+=5RTe0b!p{TR^j1ne>|Xo>(!Fs5sSqRr)fO0&m$=kg&A`CICBs*dC*GW< zxEpx5SzMagy}T$5hsv;i?ff9Zy>QF?LoZ2mZ?#_ax04cj0k91i?L{YWeGrs8uS(>d z59bR(%c^_p;fS?UPg~o~I*v!8S?O9waV-4D>LAhSgs8-p-y94~DJLRI-j1qVobkP~ zJdGVKujUdcRrC^<;K#dux>|l$l=Rg&jYiN6aQ*wFrec<1TeV_Y)9O8+|BOt^oSBvd zH8w^0C8sJuYr$v$XZvNB0#lLqieD5tmQbbY?{|KPvju(&kl7*AmSZC(1}OUDRI74c18-_HESz zK_53D>G8nURXunT-dTTNvfTh!PKbILj}J>~e@(d9!~C3xJD+`J@em7r^|)i!vLbY_ z|3&##wOc=|JG}RicJ3|dk~8PjwR6{cHpiR8H}5si+m^8H=?`wNu9^QJeelfhKTzx^ zRji)WO*fu-E@OS^r)`ld!5v#D1`D(UBYJH*W06q$9L3njCpK7ols?I7pKQDMMmyQ< zP?%&6PRY!fp(pDvT#_HFlM5axIE%LTDi zwTFq?^w?C!r`(uh<-ho!36ICR^lXyHvR>)Ldum&Zc79JVe|bpo+XD5Eef#(0p@FPg z6-}kl_Dt>pHMOBP!Qc6Jj-BjG#?Rih{DqhwvkS{Iy=#GeH~sE7cwsDt-H%C8$oC(Kvn_ny78bHl8WUMxR$u0LyDe{nJB^KphrM>r z5~TQEm73x<#LH6h@8XX7$_UEl?*8sJt9N?VYp>y+pBvOKD8&{)wy~2`9;v%@l{XPA zKM!|{YDulRyyz0{9hM?;?cBp2p`|Salr3S(mI(YcNan=oJ#(-VlF8fsUz30EqAPuq zkG+)M;N-!k(#lX2X)tj^I@kElY_U{qb^)sIRWZz#655ZUa|ap{jxMf2b-bNnI&6Q9 z_G49h#*x7ymX^bxeRmIq#G+7GR2UW&p}7us_)xOK&*$TfqT{mK@?%YNQ&lwB8Bq;< z=ELQvyR^j(uhY0DcS1_6?exODHfjzxmR(^*bg;laVUV1CgaXv{1YO#S!Tc2TnY-*c z_Ly~nOR zHsA}PKEYGVxau8RcDkgEN4lPB8ji4&3LcfS!foT(E22TL-@A%6<<;wg%rTC#m@8OT zUzp$_mzg?zlQN|{_$nm@TQh&;2=5sT6_RY8J<3W8B9fPjB+Di2?Zvyx9$8*)bq#OW zi?6-g{K{sc7a0_ETv>;s^jFpROyPL5O}OQrIF~Nt=6s7rGCKNcq2EwW04MBiMq159 z$atYajUR70UQqMqo`FvVkm%e^)`7cI%{16gX7^rm*)`lY*-Wq59u;(Xexzd>rOHky z>1$yp*aWnC1@z2!sd?!sq&NHFXPxN{&s7q@d9NGD?a0nm1>+~}^Eoc1}6rwRsX1eLr>9ZW$b;L)~hZ5^&U1l18vW;dR30}Tq;eqN_$Qb5D zPTB^;Zb`J~jG;BZfd`%%g5(3`A z2Wu)LN_r#fj%|ZQBAg1r)luJ)Yv;dhz^AvO`hvP)>r2z0Vn|~E^zp_ zipR9`JH*JDt=C2JRXECW%-wKy`ogu~+jt z6YlU_9aDU-AU;6s6wfm^>}##h7d$Q2(jhI#3q-S5i~Hl$>x@}T6Da%cba(j&gqd%h zlUm3;bg8j_=0w(1=BF+a^{gXxEwqIdT9|z)kRYXkh%B0^NVbsq*)!i020Ez?+XTq4 zb>fFx*bV!)Ps=dj+>$AbqW)XMkP(kI|KU4JOmG~R%)l`SeGaK67wbHBq?c~`1~Qbs z>7Obz@adrVhxT{57ZOAMz>YY3$Xc-%Pmf&yI%<{~Sbv*Q9h8)Qq!lh}EE)X;EPO%G z|DHx262b6@j+xPVW6Qs1^T|&u(8yVr!|dJ+pmroKG7})}ao(?+E_mbMO05L-y7Hx# zpC_+>Qy?bG`Bx{yNW-i_JU3*$VrAfbReB)hF#YZ96mXU&XBAY%A;6n-%TAadJO+uAjU7{Y;N;nazLf$&iUOV1Z>7@k6gWT~=V^c;)&N4QQB^W$R6}hG~ z9RtTOd8etvVq3GETeF;dvmC5h4qmGM&69Acnbi&9z0;jqxE@GLWA-(%umz+?P0H4n z`!A|d{9T`l2i0`$a2zmu>gT5I&8L&hr#sE3w^^vY{045Qg z*yv)V&1;`ir38`YH;+X*@PrDVQM=nE3ui2Q;0u(iJgQxQx1JIuMpw8;z1XOMvlh-a zQ;mAq7+FDEu2a*K*@u$J>=g%2?4ef%`$8^J>xdn^7VoVX%2CQ}z25TZWOj%CsO7@T z%@LG2I=t1^K&&3DXtaA~eC_sJqvYEXVBb4Y6FB@0TmBz&_Qyym$yH|18GeDhR6=ys zgwDQc(r`ad)qTar?D(&l&{sZrk>GUAFkIb7(#HPwIfKLEksI3xXxoHzM0+$D zzx(^WZAz<oWUk*=P?&M7d|e7;=#opoSQ{9b5uC2cWf~x?v2V+yj;u<+ z#hA9_U>RL;7Ef6#>LS3(FO-E}?{%m60==Dv&$xiQsP-w@sNrI+~ZqY>xWJAUG8>ZOb=)=A6N0A*P#t zK0V+X-eFM2DPNu^dTd7^h`(jK^cc6~b2@6?H)g+|9|(Lj7+EaO(2P)ccXL-z24!)= zpj@iF9)11`Z?g(zm6y4ZTGRT624Ug-e^Gejy37YSfgwwPVovnA<`F4pdmfKQIjI~< zR5+N^qO&8jxz;AsfnND7?j@~Xo8Fj#y!#tyknjXx3HQMSyMaQ}2b3YTt&e(jW)12WW7=PKM1K%oswvPb!=?<>ghRq!2ag&V zALkvFOs770`n?H}NvHRD4KW3aIUC3{-O0?lNlbkE5t2tr6S_#y^}us4$!pquugG`$ z>|R(fom{OBo-gsJaBZ?7_h04bf5jWrLh89AG!u;8Ge;-K!{UQyPPu-#sUXq`hUV-+ zWt>+6pb%34kp}uT{x5@2uNm@eoe>n_3%`;{8Ck(G^R&>|W!R9EI6QsO=NXSiO8UWN z$YNi!yfVOJZH#+Z%SOUNjUOaiwb#)xfGys2F@RLm%#3!G$2ZI3BeBgtkXzl|x9E@m z1_>EIi2|)VDS`C@a}Rkr{Nu25?+pHnSkVBn@&=U>n6L}s0X7t7gLeTKN$Avr z@+(1Xcr?0UW=K2$FcE-;{8^2)S276b%22Thh2F=r@t^2&Pu{eS6$`4X9)p7yV&o}Qp+?0}%;w>5iH|?2@&ae?9(8&NDti|S^ z-yydcDqPwhE^!uapTkz%MReZpB%rdhXwY3&Rje>;$ouEkG=CFYUbSRq*D$r01h2L$ zlNuG0DusjIGbHDJI&)(?6 zRQ2Zp$Os;Ji~(9!q-6_IW)kW9kQuz$K1bU+es5~w?Ep+0 zeTOo?VvXG)KzpEp&Op9*l^AltcwW;S&mYI|F7Rx;3?*3JGdQtoGJ}V7_|;vEtpp3q zQJVXZJ`RpT&5%*;Z{=unN_$X||2b|wl76jlqL>FV_bAXBqh&?zw4)>W`z=SG(NeWv z0x5(ABpS{)!NC=Ru?a2MSp@W=`2*Yknrm#Ly45iWub~PZTLpWxeCx-un$Ytu-AK^d zguFrF76Tqp$uQ5_*0-?D3ek8AprKlb?$E{9NvflZ3)w)>*2>skrhbsL!{9w(6jFO{ zh>L#Lzd-XhzO^fRLT;ON;0tm!=oYgf0JKOXM2lB6pktTn$rScIYeuYMR4U3XENo_P z`lS!LjLR=;Tb<2${O_<|`>UmIfM+6^;Q=X`Ccfp7Ol#=!h5G`f7c8F(82zG=TB*5y z)~bdAf4?{&5|9&8>@O^4ich?lH7?1C{

Y-p9z+Ja#Co zF^iYs6k{*Ee-R_hP1!B+C%q47X+?v$NSJWf0oOy;7cOuNKF=sl8)Aq~AgkX84)yH) z;PB&WArEc+T-6U8m_)W(fo7E?MV;4xzO&z+9=r9zJzQn_li74zfIn;{V#jGGC$ffc zYsgq4r8m;{e6zd`fas^G%7FYhw0~xX*vBO$lg~Nbh0&#Ux#y6L@+kGTJ9AgFwo7p1 zT=SHcO-OY0IHVt^yTIhd0w?J|+d<~nW6g$#6Q|}%i2#Uq?o11aXpo*4{sjCepo=o+ z08>!7ar%5 zS5!379lgx;5FR_Af5^n!dnEeb;hu+c#2OV9jcg|6Fog$w6KN~4Uam*$@?-ASqtn|} z1ZZY4;bOQsX>M+M)T#VqU!N|M;6`fFaP{J=-jH}K+unAG#;vo-XB#o@@0+Z1=Fl-e zahzqhU|Bc5a46jrEH>+HnFm!Ixs3c&-{OKn$7@tA?$c@C7;dx&1A+!EM;4A477qp` ztS655^*B<{QBPwjAp>EfTw^QVmChF&6^$EB7C)z?RAzW2BqR+6cQna|o?*|kC>NSx z;hB4SAW!eHG22#Q@7Qd|R+{I)v{%~*WYs+wHUTcPOt8eNwUAf+;b)}%rKP2H3u92R z0M}5x*rKfn`sHVn{OG&@yxG>+R}$w)xnm*=@u@t!S3^S$DX)K|uHRamDNHNdtWEZ` zkSfGgoJ25@NySCw@#ft7SaaSTok{x5`;4bR`+7F*z_Lys{1WhcnDN;UjKmEHg+dXD z70%U);}oz^-=B64F(~%7;86}@@}h6(r;iH+R75f**-@y9MNT!c(C;LWxtPD zNSX%Mb2Qw=C9HfGMPdDIZ)}CJFAlxou=p-LjD`v5Nl_hxb#%GSX283QX;iU1 zneLIu5b;5*2?GLe7D4KD5^@PyeBCkYu|EmfB06CfuE&P4hIsgFvW$NOId zMOrCv-H}{}!V}_0#l@n7E$HnaCSbF9^X3jyTYgttx>G@-1ef}(%kpb$+ven|$p)Nj z+X4olWxgDZsOi!pO||o`>~=;q*|!3q>>S}h4u zHc`V%>xTl@Swqmb(_NFi2O%w;R7}7yP8b}~s6&((hF8>j2J=}-l*JDc$8lMBcXwlv zzQr%Ru88hBt!fPtOPl{RfT&T0gs}8l8M?relluxGKP&I=r$AUU-#v6NtRHor5O_X& z;rpEYdd~>d$4(KYm{;>A5@y*fujSfA>U*%e<70~fWPz_pPBgk$b7`RB;mqVsxiq8t z@toM*kSmwjR#v-7BiJO-N0SI>jw!|shxv$whpk`um}dtjpF&IYli#UNcIc?@V(8AY zF^b=w%`1kkNI2P=9$i7(J1U>4GCk@n^aK3-*G}X5%JnIO0e0Q2`-cLW%v<2pDRuKzXM=sjIJb@nvRc~pO;|#_COP3oH>9_fSR{h%$h0TgA1ito$3%rj}j6>_qJhHbX z;Tp~iIscgC>5!?s$&WLl9DfP~vHnX7*6fLK>55a)fv07leaAo#xD<4r8XCRtbMSV^ z^?EBS0-_;pp~yt^KRIiQYd%!#b-Z=Np->kV)oC^#1*m{q)JW68e@93DOQ1i`-ikox zYw;j?(IYo^1^=!~HS$cA3v2$wd#y@1L`uOyxvj>xSL4(YL8@QOz3@K8HwXvUjgD#^ zn**7;3N}2!?sFcvLsX;#)&*SVHh8zb}ha;M>}H zB-fQh@R8+7zG31k{Tl-s>qxDdFES}1h%q~(mkbNbB+#5^zv_@{`~fLhU9=Pb`34C3 ze&?-iNfFD)2+FEa-Nx#Q5bN-3mbVBM>4ciSeCQ*~0Xn35EoJFdX5^?hkKcj*vtAc0 z)Z-uL|;}%w(-&nxbbEjuX0E(QXe8cGx>)zI-mcbT}YfI8i&;s`GOC zkS}2BU|eKY=-1;GNb$rgytdI+g^W4=qz)xLu+oI(KjQL!3bhh69~@Z-olYZ{{j{4n z{^EI8`sJ@iHE!BQmAi-TpH4x+-$eFTQGgQt&Z~kuFQgMOp~DZe`Q{m6r{_@-1|dZd zK(*PalElc6>+!$6K=f=uhdaHJ9-JvhspbYo6bYsQRcouiJ@j@XYJ|B`&gC_)P*!*q zQZ&FVK=kwInegpjNZZx?gVwJ5l2Abb%i@t8tc0lQ=Up2{YA08SnKXLr7l=^Nmc)>h zOA4HK^ZVTC_1E2~3k$@K(H3vq9jcCq@9gHxKOvr}h1kSB^aoQV=cD*k4!%2CP^Uy{|OMi$*BF%wYjEtE^+;-xA9bllOI zUUQ_+y;va5j^GRdN)NpBoD^ZrKpA{-a2@e?8PBY`_hp2KFiPU=o&5`;uj!gfhltgn zjVEgM?yAB1{B;RaPgqQlSmIRcKsUW92DN4mSfz3^)`-B@Br(*k-Q|3MoH3&Dwo@N> zU?lUgr+NAh<-Z2gE~t`0Dkzb&!-2;F&px&VZPfN|xo>A>WyS0MyvontwbLua9sU53 znAL{LSxwN7mPV`pmylIBq)m_c1(3k3&>?O;??~gnSVQV}8&cPzA)>=NT?Y+4TQ(1R zCELP7Hg*D9NSCnDRRO*=^xqp~pJ5&N)D%FD@`Q?3P}B(aw$E+#hf7nF-7tUToCqIw z5jYdh4z8}k*Pxg{@Kg=40O~=VrKP0R|it%h(zPKjgB{a)4i5=VJmPQDJ>+g}tZe@T7uaxVk>Kgvdy?Gvcr!_=d7O_4exN z>b;($dqf9;dI~t!lm2qe??2=J*Wq7|_ZHHH+iOr$)9^x}(9GV!_qkWX%`Nc}gzl;C zwdsMn!Lc;mL7f+yz#Z>yT{plYXW@0>=nR)@R1CH=SV_6Dhl1kUfg*v}h(lt7-@d#0 zi?;R7PjailQ=j9X#r1iYoNvAd47_Lf`@Xg>XH}Tt(zPlRtNBxjSFvWzPr%B3IRIbm z7wP-5PvF798!yx^yb4^!^}iRi!8$NQ;&6cn1al7lGweT`{EtZeqd*c^{Rb{etp5SW zEX4np7RXKeiNTsR8|IIj{&BkNAKUv6)A%W_tdM%NS^eTGyL@oH;GPPIv5Ue#eK>y` z-g7J4s|M-q-3h6gtx(fY3%08*f2Qu|)jI=%1e`<5i1xK>uKr1*M2(Kb&z74n?ddKp zeq1a#4P4t9R+NE|1n;|*-IlFLzIk&z7#2Q&JU>1=2TP=S%jlL*;6IIX3H3SMxEk<~ z_|=og41GTA;E#JJEH;}tm{Twbo6A7bfycq?Pa|cz)n!gq{Wqd=ytSG-;vO%!wz6V5ZL8EX75NQWRvkL znN^pk8p64-0MfeQ5pB|>)R=^l@b;t8wcLJ@sAB@GYmM=zRu=S3G*#2S)p$Jl$kkjKcYl3Cts4{)=*}I|K)2u@MiXJ zza$iR7i6mq3B6{NT{I3q3{T)4<<3K=eu|tcuR3`R#VH!ySxSQLkG`B3bMILhx5iH&m}xe zSqKp=p+f6{DUydCcAahM?6vLrCOl+`j zdtYJAnqLaCn?6KL$28WJ$?8u}CHY<{_8UOEIJs1nX-W@GsFp9Xu6Q1{(+Xh^DtCPB zqgzOECvumOj~AW5+rPz8k)q6b;o?&q6k;uZ!C?AdfiTe)vHzvX@CTaGYt}qSods!$ zOe+2Pb$GTeSD(m8TC%jbp2%1zZhIk03Mp)Th2Xfk?xYz^H=S?4_CqLHS&)P|p{F9$ zCw^>c9oHLkI^h@=Hqx`1O65>UhKK3us6EiFQ1NYpbBoQ^hotz?2M!##;t1s5a-G1i z^ma;bilTzy^exolE)O{lySmdtBVZ_JK7Jyt$PJNscEr1bJTWmoB;c7?KSo< du0C0c{-OHW Date: Thu, 23 Mar 2023 12:47:21 +0000 Subject: [PATCH 068/128] *** bookmark: binary iris for paper *** --- neurallogic/hard_and.py | 28 +++++++++++------ neurallogic/hard_count.py | 8 ++--- neurallogic/hard_dropout.py | 7 +++-- neurallogic/hard_or.py | 28 +++++++++++------ tests/test_iris.py | 62 +++++++++++++++++++++++-------------- 5 files changed, 86 insertions(+), 47 deletions(-) diff --git a/neurallogic/hard_and.py b/neurallogic/hard_and.py index e57113d..2dd7259 100644 --- a/neurallogic/hard_and.py +++ b/neurallogic/hard_and.py @@ -6,12 +6,6 @@ from neurallogic import hard_masks, neural_logic_net, symbolic_generation, initialization -# TODO: seperate and operation from mask operation -def soft_and_neuron(w, x): - x = jax.vmap(hard_masks.soft_mask_to_true_margin, 0, 0)(w, x) - return jax.numpy.min(x) - - def soft_and(x, y): m = jax.numpy.minimum(x, y) return jax.numpy.where( @@ -20,10 +14,26 @@ def soft_and(x, y): m + 0.5 * (x + y) * (0.5 - m), ) -# This doesn't work well +def soft_and_vec(x): + m = jax.numpy.min(x) + mean = jax.numpy.mean(x) + delta = jax.numpy.abs(mean - 0.5) + return jax.numpy.where( + 2 * m > 1, + 0.5 + delta, + m + delta + ) + +# TODO: seperate and operation from mask operation +def soft_and_neuron(w, x): + x = jax.vmap(hard_masks.soft_mask_to_true_margin, 0, 0)(w, x) + #x = jax.vmap(hard_masks.soft_mask_to_true, 0, 0)(w, x) + return jax.numpy.min(x) + +# TODO: doesn't seem to work as well def soft_and_neuron_deprecated(w, x): - x = jax.vmap(hard_masks.soft_mask_to_true, 0, 0)(w, x) - return jax.lax.reduce(x, 1.0, soft_and, [0]) + x = jax.vmap(hard_masks.soft_mask_to_true_margin, 0, 0)(w, x) + return soft_and_vec(x) def hard_and_neuron(w, x): x = jax.vmap(hard_masks.hard_mask_to_true, 0, 0)(w, x) diff --git a/neurallogic/hard_count.py b/neurallogic/hard_count.py index 27e72d4..4ab011a 100644 --- a/neurallogic/hard_count.py +++ b/neurallogic/hard_count.py @@ -1,11 +1,11 @@ import jax from flax import linen as nn -from neurallogic import neural_logic_net, symbolic_generation +from neurallogic import neural_logic_net, symbolic_generation, hard_and -def high_to_low(x, y): - return jax.numpy.minimum(1 - x, y) +def low_to_high(x, y): + return hard_and.soft_and(1 - x, y) def soft_count(x: jax.numpy.array): """ @@ -32,7 +32,7 @@ def soft_count(x: jax.numpy.array): low = jax.numpy.array([0.0]) high = jax.numpy.array([1.0]) sorted_x = jax.numpy.concatenate([low, sorted_x, high]) - return jax.vmap(high_to_low)(sorted_x[:-1], sorted_x[1:]) + return jax.vmap(low_to_high)(sorted_x[:-1], sorted_x[1:]) def hard_count(x: jax.numpy.array): # We simply count the number of low bits diff --git a/neurallogic/hard_dropout.py b/neurallogic/hard_dropout.py index 2f92cae..3c20ccf 100644 --- a/neurallogic/hard_dropout.py +++ b/neurallogic/hard_dropout.py @@ -1,4 +1,4 @@ -from typing import Optional, Sequence +from typing import Optional, Sequence, Callable import jax from flax import linen as nn @@ -30,8 +30,8 @@ class SoftHardDropout(nn.Module): broadcast_dims: Sequence[int] = () deterministic: Optional[bool] = None rng_collection: str = "dropout" - dropout_value: float = 0.0 dtype: jax.numpy.dtype = jax.numpy.float32 + dropout_function: Callable = lambda x: jax.numpy.full_like(x, 0.0) @nn.compact def __call__(self, inputs, deterministic: Optional[bool] = None): @@ -65,9 +65,12 @@ def __call__(self, inputs, deterministic: Optional[bool] = None): broadcast_shape[dim] = 1 mask = random.bernoulli(rng, p=keep_prob, shape=broadcast_shape) mask = jax.numpy.broadcast_to(mask, inputs.shape) + """ masked_values = jax.numpy.full_like( inputs, self.dropout_value, dtype=self.dtype ) + """ + masked_values = jax.vmap(self.dropout_function)(inputs) return lax.select(mask, inputs, masked_values) diff --git a/neurallogic/hard_or.py b/neurallogic/hard_or.py index 417066a..7aefdb0 100644 --- a/neurallogic/hard_or.py +++ b/neurallogic/hard_or.py @@ -11,12 +11,6 @@ ) -# TODO: seperate out the or operation from the mask operation -def soft_or_neuron(w, x): - x = jax.vmap(hard_masks.soft_mask_to_false_margin, 0, 0)(w, x) - return jax.numpy.max(x) - - def soft_or(x, y): m = jax.numpy.maximum(x, y) return jax.numpy.where( @@ -25,10 +19,26 @@ def soft_or(x, y): m + 0.5 * (x + y) * (0.5 - m), ) -# This doesn't work well +def soft_or_vec(x): + m = jax.numpy.max(x) + mean = jax.numpy.mean(x) + delta = jax.numpy.abs(mean - 0.5) + return jax.numpy.where( + 2 * m > 1, + 0.5 + delta, + m + delta + ) + + +# TODO: seperate out the or operation from the mask operation +def soft_or_neuron(w, x): + x = jax.vmap(hard_masks.soft_mask_to_false_margin, 0, 0)(w, x) + return jax.numpy.max(x) + +# TODO: doesn't seem to work as well def soft_or_neuron_deprecated(w, x): - x = jax.vmap(hard_masks.soft_mask_to_true, 0, 0)(w, x) - return jax.lax.reduce(x, 0.0, soft_or, [0]) + x = jax.vmap(hard_masks.soft_mask_to_false_margin, 0, 0)(w, x) + return soft_or_vec(x) def hard_or_neuron(w, x): diff --git a/tests/test_iris.py b/tests/test_iris.py index afcb7ab..5193abe 100644 --- a/tests/test_iris.py +++ b/tests/test_iris.py @@ -145,10 +145,6 @@ def nln_iris(type, x, training: bool): Source: https://arxiv.org/pdf/1804.01508.pdf """ - -# TODO: implement count layer, k-high neuron, and multi-label classification -# to avoid the need for the harden layer - # Using majority without margin # mean: 94.18, sem: 0.13, min: 80.00, max: 100.00, 5%: 86.67, 95%: 100.00 # Using majority with margin @@ -169,27 +165,57 @@ def nln_binary_iris_1(type, x, training: bool): x = x.sum(-1) return x +""" +| Technique/Accuracy | Mean | 5 %ile | 95 %ile | Min | Max | +| ------------------ | -------------- | ------- | ------- | ------ | ------ | +| Tsetlin | 95.0 +/- 0.2 | 86.7 | 100.0 | 80.0 | 100.0 | +| dB | 93.9 +/- 0.1 | 86.7 | 100.0 | 80.0 | 100.0 | +| Neural network | 93.8 +/- 0.2 | 86.7 | 100.0 | 80.0 | 100.0 | +| SVM | 93.6 +/- 0.3 | 86.7 | 100.0 | 76.7 | 100.0 | +| Naive Bayes | 91.6 +/- 0.3 | 83.3 | 96.7 | 70.0 | 100.0 | + +Source: https://arxiv.org/pdf/1804.01508.pdf +""" +# mean: 93.88, sem: 0.12, min: 80.00, max: 100.00, 5%: 86.67, 95%: 100.00 def nln_binary_iris(type, x, training: bool): dtype = jax.numpy.float64 y = hard_vmap.vmap(type)((lambda x: 1 - x, lambda x: 1 - x, lambda x: symbolic_primitives.symbolic_not(x)))(x) x = hard_concatenate.concatenate(type)([x, y], 0) - layer_size = 16 + layer_size = 59 x = hard_and.and_layer(type)( layer_size, dtype=dtype, - weights_init=initialization.initialize_bernoulli(0.01, 0.3, 0.501), + weights_init=initialization.initialize_bernoulli(0.0, 0.3, 0.501), + )(x) + x = hard_dropout.hard_dropout(type)( + rate=0.05, + dropout_function=lambda x: 1-x, + deterministic=not training, + dtype=dtype, )(x) - x = x.ravel() - x = x.reshape((num_classes - 1, int(x.shape[0] / (num_classes - 1)))) - x = hard_majority.majority_layer(type)()(x) ######################################################## x = jax.numpy.array([x]) # TODO: shouldn't need to do this - x = hard_count.count_layer(type)()(x) - x = x.ravel() + # count the number of high bits to yield layer_size+1 outputs + x = hard_count.count_layer(type)()(x) + # split into num_classes equally sized bit buckets + x = x.ravel() # TODO: shouldn't need to do this x = x.reshape((num_classes, int(x.shape[0] / num_classes))) + # take the logical or of each bucket + # TODO: create a specialised layer for this + x = hard_vmap.vmap(type)(( + lambda x: jax.numpy.max(x), + # This is conceptually wrong + #lambda x: hard_or.soft_or_vec(x), # I don't want the other bits in the bucket to be high (if correct label) + lambda x: jax.numpy.max(x), + lambda x: symbolic_primitives.symbolic_reduce_or(x)))(x) + x = x.ravel() + x = harden_layer.harden_layer(type)(x) + x = x.reshape((num_classes, int(x.shape[0] / num_classes))) # TODO: shouldn't need to do this x = x.sum(-1) return x + + def batch_nln_iris(type, x, training: bool): return jax.vmap(lambda x: nln_iris(type, x, training))(x) @@ -205,7 +231,6 @@ class TrainState(train_state.TrainState): def create_train_state(net, rng, dropout_rng, config): mock_input = jax.numpy.ones([1, num_features]) soft_weights = net.init(rng, mock_input, training=False)["params"] - #tx = optax.sgd(config.learning_rate, config.momentum) tx = optax.radam(learning_rate=config.learning_rate) return TrainState.create( apply_fn=net.apply, params=soft_weights, tx=tx, dropout_rng=dropout_rng @@ -216,13 +241,6 @@ def create_train_state(net, rng, dropout_rng, config): def update_model(state, grads): return state.apply_gradients(grads=grads) -def my_loss(predictions, targets): - return jax.vmap(lambda x: jax.numpy.where(x < 0.45, 0.0, x*x))(predictions - targets) - -def my_loss(predictions, targets): - x = predictions - targets - return x*x - def apply_model_with_grad_impl(state, features, labels, dropout_rng, training: bool): dropout_train_rng = jax.random.fold_in(key=dropout_rng, data=state.step) @@ -236,8 +254,6 @@ def loss_fn(params): one_hot = jax.nn.one_hot(labels, num_classes) loss = jax.numpy.mean( optax.softmax_cross_entropy(logits=logits, labels=one_hot) - #optax.l2_loss(logits, one_hot) - #my_loss(logits, one_hot) ) return loss, logits @@ -344,8 +360,8 @@ def get_config(): config = ml_collections.ConfigDict() config.learning_rate = 0.01 # sgd = 0.1 config.momentum = 0.9 - config.batch_size = 120 - config.num_epochs = 4000 # 20000 # 500 for paper + config.batch_size = 60 + config.num_epochs = 1000 return config From b89246fad1f06b94b4b6b2432749f43355406517 Mon Sep 17 00:00:00 2001 From: Ian Wright Date: Thu, 23 Mar 2023 15:08:54 +0000 Subject: [PATCH 069/128] more --- docs/binary-iris-architecture.png | Bin 42719 -> 43325 bytes docs/db-net.png | Bin 34540 -> 34785 bytes docs/db.tex | 48 ++++++++++++++++-------------- 3 files changed, 26 insertions(+), 22 deletions(-) diff --git a/docs/binary-iris-architecture.png b/docs/binary-iris-architecture.png index 952908ba7158d9f2a2f78a5e195fa4e5194e8ade..b1d73a72f3604ab030aa5fc56c209ee897e6d0a8 100644 GIT binary patch literal 43325 zcmeFZWmuJ8(>6|brveg+w1i42A*BM+4Vw}H>5`C6DFH>16hsAtO^U*%VN=p5-E5F< z>He>c;4hw+`~TdZ-Y>6*U-UTkb**dGtaE10IcJ3`E8Zi-qrpQ#K_QgAFRhA#f^Lt3 zf*Op21^#DkBHs`N#TP|ZT0-5;VDT+BOuc@$p`#+!T>|4{$UDZcF#VhNpJN6zjLKdX z=3!1xJQTLSZ8=vACnpHbnmh0*P@;i8$OksCAn zq8u+zEv*1w3sQlmmdv%h_#JRGEfRp?cm5xI3t)48Cch*MEMLpq~ z4A?*NHzl-2Rn{!`p z6RfJ5N%j!yw}j>xe6BKOW)jqPhSDZWZWJ0QEcO>n_65_s&uT@9{0ezG^VT)6IEHP% z;-*^q13qkexAE_?$dfsO0!)zsjmBz0JpeQNMm5(>bx% zFoN#ujDJ<7umSUZiyw8dw)Kgnl$g=LQg>|HcFZf_S~t0S*Uxb2#|%B%1>rMLih_Sn+Os)}G^-B!RV zw`3X%npe4J&Y4&KEBgC~dx?zByZf>OEVSD*dy(!uDJEZ@6^e!kUW^`x?wK=h;q#!Sai|?(Xiz;R3a#Vl71x zC1xp$UR>%+!eyoDG+M?_c>8WX8>s1=A!k+ejKx;8=v5FL*~mPMT-d&IJzKxb1)tt~ z2XS0rZqa+mb=Y{Y*zVZoU5e|gg3uv9{n979b77phyz4U^)XAEk+l3~d6EBTjV_vdy zfP}qglY?)}exEETTd7QRf=XA%Lp*qEHDFx%y8DAJW4mw4r<^D1@A>FzEald1j#tOr z+JI(dCET|7@p0SD_h*1@t?vj4qZc&)L*qZ=*cV7YY+^x_f&ca(wk3 zjp+Pp)n}7KC3bwU4sZN23w$=&_}CjEwyQ~(0<03vI8x@CvOZuQ+MdjnZ;y~1raLCz zZo22bF~8*#eDGBK<<8DW!l6OE#F!@f-2h%8m^kOf`70{q1cYw{bu0Kp%^)X3o6lRqIt#D3mfPuQ4(+Gj+bW ztvzhdA^T8TN+YP?pucZAbFloF}JmNAGw5U(xy!5rt z+p3Z9mC#)PS66j}GUO<}bX@us;kS_Iva&)vqQNX8X4!H{@KB4ymOS--`>=DLzTph& z%P1N#&mC*pm6QSB=MK{$q*uz5I9h0g9e?)ud5_AcY2_K@MKOpQ?7X>Kaqz1py{KqQ zEm8%5g)CKjCK=|EQ?RE=kavrZLsMX(^ykSB?F>$XQ5yUj$B&398pTTfN4vA*~{PHgulc~_Cm(6PgFq|bb| zSBznMoO1goZHvp&7yE-k!H`Fd_aZ!|-5-3Ydyj>uqOX5A09=X_OIplwZ)5JlPp@|R zN1@qXqf0}@jd($FqWvrIhg@wPm1!#YR9w6o8XEHdw$6Nl<$C9kYZ!PilcI-xWBM07 zR71~;b^I)K@tZ5a0&=AA!khSO_P+mE5!2=GYdRsZgvxXe8Gja%@X)^C3uG0;U;B(I zhlUX2=oG;haCVVDd_;fF41oAuH zQIL42>4XHMtAlV59pscHEwMk$L`*6hdGhuN5_Bfy4}G6AiTpMI9!}K{uDV)O4q%@q zxUk0icV5dcfw5t8}f&YCOAqb-|-p^p7(z;f7Aan|B3(oKl3{U|KIg~xgKgmPo`#VyYjVXY~hms z-O-Wjq0+N9PWD(9Rw42_+MSu6{SYOPXj_{3>A!xG#_`di!cdV-+tpZzYQ{mz@j-@; z$I{o484$g2)=Jp|x2OM`L#Mjgt7jL_B=t;a%yrn|-VLi>E~n9_GbJB$rGkm3L2wlS zkV=vlF8TP?e}fh8JIkN0x3Xs>J=86>wHf?sH6s>~Dixey(Ul%LbC>vSbPVw9bD2P`~h= zWbk)#@V~@A)vtT=&_r6ha+TLoH_TdjYo8I`NVNVO`rrFV&;CjkPqX$bRwXJ^6`cPW z)c%u=hW9qQl-g>E#krb4kobp23=ans&nnm#U@`7C2tV=(MgQ zcWeKCkHMyB$oBTyAX{LO@PCmPKq-vJ1j}a*x5o_GYAfyU(La5JShFb}F?*wDEBxO- zO?`8|r-jbBTP3LR_DXr-fZJpQeiRRE9IdOscNo6_>UKp-SUGZUGV*pLbRLyqB0gWE3Dl(%}5z4S6q2pSm!AT5xxXI~@jy*j-vvAW78gO35cBkQ@ z+2*Srb3gMj%sP|J%$|1>zR1ep=Xg?<1aA--R3G82oFeAcnigwdiLB)$bvlwo+sKtf zYIt&DhpjyCotN7&)>@lyRxxh;ls#zij>&quK3!sizBOo-mu3m7tqErpHtIeJO*J1P z9pomEflZhSX7J_(wPbl_ZZ0>o&C?~Y6G2c%1*Yv=W9O!L-`Kutj$w;4P+UEkn!&YAZ z;UgA}H>F4vQ-?2y?3D4Ex6^f%I$IU)PA4W3i|yR$ZoF3aD%{Bm8n2n-6os@~AkuE2 zw0)RcwtTBAQ!PVsq8ETR{CKF?&W^j}Cs`q2EW9l$ej3c&zI+~_U7WrP#nn76u%wkf z(04mN+UJpy|DZJXfgF z^n#-J;S=O*l2`u2YfPP?9XYr3a$a(hd&j)T#HWgj(bR29a%i~to*S1bS@MfSetHiC z$}MAxEH7H^6?+(WF>LE8wQeeb$G^R`c>F9vN+l1f+$(Xe7kqf|Wsf`tw@R)D?4}hm z(k#O!iEg+qLsS?tNQmoQD|)V~r-QGl!vSC8k6{}nx@B*UvM`yE;_YaTsU)%{ots6C ztQF6#QhW)n_s?H}ZmDx0aA?5BJUib>JRMumXbq2}=&GHUhiZI+02d3z1ullMT}`5%70G!;&NmVb%{-l@21?;T!!)*(YEW|9fc;CgA>wVs zfl>!_5+k93pGP>%+&uQir0_gd{zu zpT7a!g!z*I(Bd;`h+D`l%au?_xG4+p1XQ*!s$I~8_!jn;NWpVM9p3c_N_^KTb&Ou9 zy#p2Y8@}C0eQvdQy?Rb_5|&SYT4OGt(t4N#*n!PSlP=ZsGTmf=UX_?)wjV!YObVO0 zaxOX~cU{BDyPnfZxp`VVYZL2dPh%ktw~(hal#4uYy^AmCmyZNF84R1jvvb&cf2obk zHs2QSv3Osep?2G6%NUPE^7EhXRMHazfl-_;GZxM#F}aP6te_Q8IL*8se$^ylaY|Cd z?KSXNI$&62S%6JOP8Mgz4zI6^7=JbVZen<@SFFZWg404+sGH#bn^zcDt#&g>@9Bl4 zf^E7P<&{m(>E0?FV-$SJg#=gE#L^f|uyy`zb(O*$ne%FJ5iESWw>3e8r^e_GdMAO>l3ZAsm#z~hWh9R=0H7!BVG z_(|5q#`pHe`Cci4!79PWXjM!3=j9l@OB+0pPi*v`{S}7Ih#AB@m%mtax%Jat45zww zou}&H^MF-eg}1g@yy^4+l5J=6?(CSyhZ3o`kA-6G?vEYYwu`JkZ~|PplScTR{cZ-| zpa=QyLV3$%zAaih?|=`FZUazgei+XN}{`olO4nP zE*_G=m^4^*N$V!*pI7WZvFD*%4ppOA(RQe(%oz3B9uetQ2plLhPh1`;^J(!?{Xu98 zt4zdqT6JYaQci65_8B2_R*YI7&kcGgQ9{-87TnfYrwmjZ3RFdLN>XOck6zTh^>DGU z!|hWd4n8&a%}cjkAa&ps_*(|M)s{F~KgU<@AbBulQdVs52gT=qNuY}+gRV_0W!ovK zmw(adfxj1m_o{|U`TO*Av+oo2;ZHv$UI6t@+JQg}o{2e>8kUc9bU=>GXT!7waO~Wd zTPWG3&h>io$l}r{{KU}TU|@7(V9+vM!zx$#_3PT&;S+A}YK4gDrUy5dzxeUVzb8bX z&=OwL^F0Yg@pAiD-2l#nvxnll_0M16R{z^0-)5U{s*vQ)!*1@ZD4y2T|TS>TT!U-45)^7~jtp5GfPStA5*V-}HBhEGG z$2e5Y6zqr;6dR7y$6ocF+>=Hc6n?fx`dg!LW;YTSstY_s{CIY5 z;SpBSIM2+@bxKHAlT`~47Up=%Otl&FKov@qRhm(VolYF-^^*c0lHAp9iqqY)^xe;i z{0XOEJdY)Qp(^lsPbg&TQR=B*g+9-B|DF}bnNVG%DUN}F-BW2M{PXa&yClnnKmK|+ z2#|O*1{#HA=awAz*`xF>wFX_i{F}ShzKqO{m|j|Oz#LsINJbZ;=5qJ@GBsZRsy;K2 zsI|qWOXtQ7or7IgB!kWmC)eC}Fb=wM?k7mvPdMErIh2(=br76tisk`{xH$eG%A5wh zoJX6gFCsB=6MGnjzFKXUQ%1L!$C@HzLo|pDQMX+dckYlxUWs{A^JfJQif)DA)B65C zMyYo%m~AR{ZeV;RJNNj9go0Ro*)Ft)T9dUqhiI!{j~Qn_0BTXOpvgl?r)E$v7{Do) z24J8GaAtw#78Dboa&rw@`R-y+-LPnSXd07Tt)cg}AHZs!%b-O@$txBG-CtWncKCKJ znY-&ViCP9v>me=!re>g%dsOMVGMa~F9G!iWn0{Iy9K@I(URWlLk^JG*JOZHInmgB* zm!e~p^R@M@>u8e_HIl}UCekE?XJWL)mvx*T5%OyFaQ%{e|G#z)Tj3x5fRNDR!cume zyl6yRFtcqVWP}l#m)%=zY2$1{!s4KS*p_g!4ox~~`M8cgz32AkE)!8*E%>A&^6DbA zeuHW*lAH7vG1dafhRRc?oyeL*QPY|Nw|?nMb8yNusih}`*epRV#2H+k+a6`RFq zX!6}&%nv9Sqh3!OJ7^%F6Y3NJojbGEI6kx8saU}dk#&NqY@!nc3E<3WN5Jo%o}o{; zj8DU-?$G{~s7>6N`$sc}&v(u_R_B_b`qsN1L&xK)=K0?DrMa5n{;OH~Qj7y0;vp9E z+AE_K84;jEhWwUDg9`VGcD}nf0$UCAo^7eB8^;oH(mK|1t z=9bP=(ZzjMcZ(Z(v|PDw>jc_|rN=xFSm(yd*qF%f&sRZvfHN7ObEqQ?YTQItP;yfN z3b`{nIn|UAr|6;#HiQ~Zh`P&pHKI20Y5=-_5V zlb*r-iN)=04_bK!BE?K<;7S)CB+~I)sw4Q)RV(+G%YquoSsw6$?&y7lgBQ|?RCnpj z`6KZYQGAY0a905XKYm;+dJYeO$!pm zvghH0-1?;l*lMZ$#W!&eivxBs0q6ca&cr|6E(n8z&u^hOO9P6TS9P@aaEs68*5O8% z!uIlr;W$c+JHpuZRXk|A&kYo22rpz8w!W7MpYM*K6>JBY$dJgdZ&#d~FM@ET%8{7B z2r*#T@4HET8f+7AmVNHD_Upd;@i*VU`w!p0@2d#TGco6kUtc!SPRStOh@}z-=d?N$ z7jl8$W%X;VW6QPeuJsOao^tts&XrvKGVU+vyGuev7ph%_eF#z%i>r(f{EB6do|q>3H@q;g3=!KGW>BiMZxkUp(0pv}J^%x!)74EWF= zOjb{i#zg)J3qrhmfA1jPdGI8?aY*klZeKiiFiBe-+uo{1nWLo;Lc;C;BZYIqsFqMr zq?JV?JQp^BS3J+)p&cqI{@rlH0~|&1K$EbS`u?k79GdnIt|%$S@fy?b$7||8`7Sf2 zp`|reFTsIEKTWj*IFdHNSJ%|PM0OkHOap%Aq{%a^&!iv&c{f4+;4~f7529lHS4<3e z|Bp6d-JL2%Yx9WrpFiY?wI4EQb)^GwhRvq_>NTZ`5Xq_kxa6Q;Mom?1~1=0)*dS#L?We)B6~fnw2&GYOX7T$Jnkb zOUux!2go4~!Y9=+L|U)$nlun>yE+CC3h)BpOe_0*k>AY+xNnKk;LmKvq`L!TXVHV zZC37UsCkdPf0?d`<1{@}kn@>fq(mil!uJFu)^xNyw}T$W_*0v~FMLSCJznJLXFccZ zc&nAeOlgia@T=O@AJbM(x8Xtl9t#oNtK_}^Ul9sh<{us%f;-H>-)#B0=K?fmUbCzM zVXv{I2$c#*Q>v-8>X?vBo2bSeJP;tYkUY5igS)Oyg2TDGiIIM~7k>+*F6@=|7mU1` zs>VyMN$~NqObeoGFYqYXuB;?qcLN8#4{5a<5AS6h5@6E9mfBp&72G*L|#+Wl} z?<4|R0S&*j9B;+#=Jht2of2PQsbP8~?F>NitG`@a#0>P|{442mxU=#17QHVXmez_} zl@Kr>B}}eL!=JS3OPGkX*A8RtE|;wgQ=!%d6AOYG%ATJ1 z0&n%

GYdRv+DJX-Zj!I)`@kYUlgCok*)cCkKA?N_Y|eIbjBx`4ZZ^|0c^u&>Z!%*4;n&zt2y;upeI5k{sgNitlNrx2%me~dB7 zOr`nB57^&4Li!&b@ku$~a=jArNnPZ^`hzJr-rduUH%qF`rou|)DV}O}i_=3S%Ef z{WRD)3IF8a|6@BIWiXC-gqvRUG}~Fs-+N3$a<(64zCGreteA)jJJ=o;SO#NNL^Xh- zv5z(wqn_&u>qBElMLPJ2muWIM|RF!CAbY#%gk{E+*LLiqPq!0(`~ zzUd)?q<+MD?q!CBkoy=DxfAhGKO{7umF<3SKI~&T zq2|b(a)-*p^5K8B2+d0Ad2uPv;~jck`e_zqrp_LN+Ad^Vbz@PKl=AcgWU6_guKugo zTDa#U0?u0yh6rWtLvte5o_&tLyHMyOJ@Wr^e( z8E9V0C~)AO8HcGwr!D`MKWD;U#`mLToxwybuQ;5Ur|t_eJfZ{JQO5sV-+cYDO7Bv0 zP*}0iZB#DJfF(>0%(FLK6hZ_H#k5a_nVnUxX`T=xXLjnlIH&0`pYIJPlM-Hu^Oui7 zm78!eP;EA5(Kn)^pvE{#}`hR>=Dwwexw~Qg?9`4!G^Q}pe z-!8OJ;xhdyjEO@2k$x*<<$tP|*Q^5j>ydv?>#9vZ_u2C&sGwDtX(>A(jXt4ZuKL&P z@N2GM8V7&qy$qex%+PfvXs$(QzJl>SJagC3_3Yefc;LAKg$*59+iOgG{v~%nXR^sl z{pQbh;F@D1EYo3+Rmp&IFZ>!H^f12Y>FZYn?yFlY_5q!sUF5C#Pf_VgDV2c%A^tMq zRPnKf-cQ%K%NDN}1D&GN(DdEm(6|~@96?n9SKKZ$KjN|^!y-_ReLP|`vOPE$u9E$W zANZFUUhoPzMP|N=$=}XUrPswqxEfjIvY}51M!PVv5dA>6&*S38aGnW!(^=`Yzsulr zz(?##j=JQsG`Q)ptai1)u-JB_GMUc=Yg<%+MJd_()|1&)!=bHb!|@jeM&~KHpC?3K zy6vse&Xah^mu?aO+&linfJ>(E8Q8rJSi#eT>c?~H z$|)$ci2@7kqS3Fg)Bt&>`QFyjKE-yX>g*6GHteDwjQ;u=Ed&Xbx4boFqPcHx+})2c zZ@iz{=tx<}w`xjz^KmEbaK?o>+Q4l%A{oZ~w@T-qS-^dgZ2Dlo3q{1ruQN5V9gN{; zi=hZOMCVJ7+OunTCZH5A=&`k!;?_#bS|r+)CLg;3c&ksUustQ8y)GZvq-;SWy$2T# z++$+GEQe9#g7K|8!`314xjU<`FqSqK2b{j&0wtQTE1Ow9jp>j5`txmrBe2-eFcOBw z%XWP8{&Jv)*V%Gj``e`DSExhOY=|YuTn9{J+x9_g(rt&9-R&5uvd&O^d&>*-n-^+f zS11FPhVOv_;^z@-0}x+Z>VCBh+W#>zoz569{r!81)69o5=Y=hC2&w!;%QF{bqrM)9 zaGHdNV==xR+ZTvKRL@_abRQ!m=cz`n@^wPR-lHIV^0RoJ{$fC?8% zjuNwaTv<6e`kg@ByB~m8`D^-9R+cW1-h>*&WY@xj@FSLLm4@>|=BNV0ZN|sy@(1?E zoqKg=u7aP68b*KW21H4U^~Bb4XR1^&UNd&(;yp*>=jSi2u3obb1iGi7A8?I)rAnxlD?rI%lA#Ph=Zoz%t|&v0TaLg>B4en+f#2XwTi*VzelAFn8Pzk=edOt&3?mEF z8n?fi`{%h7-+SjRpe-emvRLgIzn_b<{InLNY}ksSv8>r!lkm86!Q#HJUQYY8q)d~a z$GANYq#Ix3<{7lcljUEYtB`O@$zCSaVG&A^qucPiP06I~Oa@irSPQ7|AH|K{6CNJA?Q7YUk_V`qcPeaL)gdkywbFRNy-xaS@4!u?U9|__43DGIjI|b z|EjbZ|5<6biWu>S;Zp`x_fRk52a8rk|JiomSK0acG0C&+H{Sgs7Ir(SR`)144Mq?7i+B7xTyY?_`rg zm^0Gccixt@A~G%+4fYk?IP9CXA`&(AaT+qw3Z0p9KDIJx+ci-X)LRkj{$kVDyP@+G z(`jJDJbXrm{X~uZ@7f}+zh*v%F^MKtw^!eF#8~PX!PAd+W0mWrPv*!LwnW=BoSiqL zZAVJIhBA~=if_3rx&>XMrTdt2Ao@xlcA4cYO$_?{vS&t93MR?UaJIj`@;Th&l4&|X z?Gn&)furijd>SJpXkJhvj%`IpJt_yo3=`3d=D-x4^kzQFoZ;bKPEqu3O9X3pX~WIA zDL%8656=>bTDlYV4K7}p2Z|)5HeBdm{zmX~#e6W7^M_<#u72NqU)~rOv>wTuMu{K6 z;(M(4@6pW`B|PRanhN0iWx zY?q&SY2~L5k|q770Is;y-*MOC;{CyV^;NZ!N{5+=yw>WeZSxP?Z?A;hngv2PBwPDD zp3mgjr*KuEk`F;`{p=Qr-z6DEFS=y_sO)1`ppA(GtoFzMFZIYwv_$>(`Eq6vO>A?TPk(Q-%pG%8P>I3~>O6M1s+{*TV7824e!~R8L z?H=J9loZoV&fNRxpleLi3!()B5UV{!=<7aNE}5ycmU>E!u=ix2cmxfFTtJ6co$v>g z7+VLm+fFyN*kVv;)ItNq>@(z0x+Lt2?##^HMQ63g#zr)&35`F%fmayWZ{<`b>aN}M z;-bC_R`FUL4%e|qwk0tv-iS<^|B>(afS#@`? znpTh*%sgqhXfBioBAO-}XK%i7E#we14tPdcN!oz;I4uguba?TX zOr;btq2!}C=nqJj{OvKjU`iM`D<_bYJre}fRR7+%xQU<}FG`#8d4%xjx+g*?r1sSeYYznUvlU2zPWlOyVxXj8QN zQdIr}VAr#DLE0z_sR?^UDgg^pP8t%xJzX%$4uQk3!x~1&7sX8FKTC$0FKk0TeYv1G zzItzO;eDggF(afVTdcjXGy(q#a>0-Du58&i4TjXZ3ic^fejDD}(U`82j}#EqoSh~U z;8J#6w#i6PC?4qdG7LU8W?iFqz_a<6!^^#On+UxutC#Rb-$iE~w2;HLLsUzOCML4) za4W~qxNpp^&F`#D2ANxQxA0V1BWJ8|8{@9?&fY@{=97e+SsXoNC6H5gepd0_VJDVb9PKM35R13x>IAn zAsr454QI?0EqKL$W^6S3yQEs~(Syp@IgMhPUVS1+{9tIte+6ena2RU)^_?9_@>0F1 zg9;MN@zhw>yf>H7gL6>d=oEbzaL5~@XlAK=LQ7OM{j=qW4OqKVT;PsF$X^LbT@Fy@ z4JHA3tyx~h)^*TJ390!~@$n7x9vGy-*dT^i+>V_Ld(HH_IU1*${}v^3Tcx8E6<*A? z0py?YBd%j3*`J#^%+g{sv$SFj+%w(uDUftw`~{l8#LszBQ*xNKr=Cpf^zg;_(vOsma0CzaYr%JV43nIzTk5bP> z6yor>H(O^ptQF=kDSc@JjK{^}^OSc!cza6&VB_z}C0Pi(=Pf{Y@s+2Sa)8cq8t8ec z@w%%hwu~V9Z*rk69et7GROzf;zFY&{RRf94+Idfs}cOnY&uV1SYKq^g#87-uK z3A}EO!3$o`tdn4XskMEyA<0eG7*pMnGxa?jU%e>ftd@P>QI0fS>LI3F_Vv&u^nB-P zIp~JNSld@YnprZzVa~p%C5pM(J7Ewq$;97DiUW>(>xUdvbSw~rzH})%ZTjrgGDz#c zmZYWd=_N_7O9Nv7ngkPJ{PyE_)^}%8!uw=0A$lsGD}m%qDE#u$sc0enLTjL;WIl`5 z>yXtPb%i9Mg4M)j&{Z7(a>0=vmtLT;xne*Y?McsNN$G~ar4@?-Wwmq?R+3=IXd?lc;vX*oP2erQ9)*H32)ljmnE6_&o-JOcO{a6s{)B=5#t1=nHRvo&h%Yz(%1_Nf*~pV^hWS04j3YXUEoMW^E&}&7 z0r-HNibZzi)<*?pKirKVJAv{?7ZI{_@Bx=EK^}%kX}*e2zj1KM9x$8Q?=Tw+f1|mA zjlil9JC!lTIj)K(UX;EqKwcS>m67b;{M4r!6+5Jq83^sa1y)QD?c&~3dfLM%Vg%m^{Q{-|>H+${V2Cfwkt9DC(8HIT0m~rr>Q`ccPisDY$x=;Cg zpl$;tTT!$vD}hrtWc3;zA+12`+icFpA__nrKR~f=k5DKr5b%q9t445|3MAA#f(F2p zGqs=TRFJZ#jx=!(wc*U>m`~3In6zE!f(CHymc%%XC2$-d6 zP>x15_jjFwn;~%;uj}fXcNs&zNvbv6Ne~7O;-@C=eVduwYNi@JpKpW9B~_xcGhT>j zlEIHVF(eLmo=a(GKOFpGVFpGyPhlEN0Zw!RMq^H3?XHJ*>M{tJF5A)uUYkA3a-7Yn zO|MwP`|f5!Zm0RPFZBPq+MH<}b2d)NN`MCsa=PUxgHHl{+bLBl-St;D zf+n;ik!JSVo69h3e$5^+4-kzkF9Mmaf}ze=uqQy27cK!Q;9UwcB>(DY6VqIy8Re9U zeP&#Y^!dXed_7-a-in=x@P{46dq11RfJAOjf~14qOYY*hCx=5P_Od#8b$aJ|w&plq z+CC^gDlu%kYy@0}a8{jC%Z?mgc^u94(ecbrkPUt~HRP0-e46dTd^k$cB$`=L*Mp(i$Y}g2N*);OF$=5CNNrH^>2aRDcoOE*7(L~Y zoxO|bQvRzhR~VFjKB76z5%|$GJL4&5WBJ;~D+xTGfp+{=WD(fRYLBc$^&A{0+sJ5n*H|C#Kwc}N{n3Jcs~^S&xgM>5%&ty4JcEwPC!-#m%6V-hLM zvQ;Dc_paMTqZ_6KgIM-KtY`a%wOj(Pu!phcrs0ge{{dp0(cR}4RA3X4`}%Avb!aInP)y{2}tZ-dysPvZ~Z8pm&tK!sN8Yu4z=x)t@d^PO#5=;kt z`CTHN_*~%OSiXwjR`3Mn+^+;)V}CagyFjjR1J*h3&b@(iy1T?RqS|UD`4_?ZJCUOT z;H;^c6Zm3qSLuJ_@m|9(&L^z`6CH!$;Rc$=MDGVmWi#)bg(n>3`Cy;J+BP3=?Yxuw z80~TsyGF5ydyw#E)@17n(LfIY{jG0L=6VO7%$Gk%J<3m-2dYZHu^oX(EF*^ew#UK>YE62%YdKRTKu zTBhs6nOTVxJm-qw$99MNG1CWp8D;FT2jwv2)HX8lk+o`gele)#2sC}U=RZ&k8XS1AK}>D_I!0z&bSoBLRO)x8)2WvKw!Zb9smBZ4F}WTf zSDh)p_e;Qac^GcTfJ-;;V0eRm1?k4-i|_Gmy}J|vQuZ~-;2=OGv? zbD$wT6AWLc%F_J-ENIzJ~SFKOu4PjZl6MqWErnvT3__dLH88rHH|oF9o!|6 zRg`z$(7`UN7+Ll_Vo~X%(6`^8GpimvT!7?+>jD^2rkn7+5S$QQZJd9c=W{53@)ga< zuh{66A{NfO7fHuHA5F1Wjdjy+KRa?pl9==~CdcsytTLlh4O$QZ|B6XDs+^#BT*{YXrRsAGx;;1>B>Lu;3AQvHM`wHLZ^^y*YYg9zb2@Q(q!Q_MAbSUd?*! zrq&y%0YJbhEp+({Nmi1hc_tS@<641Tp+pkgnXuUxNp(k3n! z>!tH(PqpPE&(~w>hW+)u3wh4O zH3?R^7I!0PrZhiJUSm%7+R{PhvmiZ-SpCw23Yld;#fszr@*m>$@OJ(7x&%S%Sar1;>={JeZhlw#1f`A?#)sL}2~6XcVd)EMJ| z$!Pan!R4k=z%AR5emVkw?f2!cK-5mkJH~C8ij~Yk*y8FUR&wC3_*W5><*4< zD@X(8H5to+dR*2CHbg< zb}DnoaqWv@o^Hl6&7g;boV$kgu=2%3r!d5HQeh9ErASGHlRho={)p=z-JBx?tGMRi;zI^SPS#%k0V< zU#s>KfTK+9Xl94)cRpo4%_V!~@H`nyOQ17Wx@EKwJIXw~i2(j;y4Cr1Gn@Hs6Jn z9y;SK%qk^{<_aJAS=-Izo>T~e>EF93lT9C}Wm>L7reX2I5Cahb%K_6-f2Pp@8a(L` z-G+6%19uipcPWWeZuVcn`B#z3oaz}p3JO0J>WoenT4myUdI|_Q0V9~#12?3UAumdj z77pBh#|`Fv*B14+bUfu8Vb9GymH57)4^sdfqL-WP9X?}xEl6oeIWI-&#k4rcxOi= z3pt^7GNA~f!>uXgaG?Bf=QNUfGyvn1$_37`*xbe_CbyIgD;ROLl965PXfwR zHA_@KLpH0{Bf10MD1@YZPLEwqBp!#`%nl1L7mk*i)nmo-Q@*!ZI^*5v+-KqF59z?Q zRMGnc?wj*dTZ9wtNhS9VnS$vq&%dVtpZ4LA3^euQ6y8?}-s*XK=omI)EWwdcL{^eA zsroHxV7PdUq!09pzdfFw*Zw^lJLk9_l3cbM$e};y`EK~AA(*|2+dWwCXzMR9(O2!u z(%^JjENE;f;$a;8iPF;gOjFO^_&E>{WJ`~9dgmjn?!)?gV!AD_x|z1ks^i0z5tqv_ zyGU@60OQ1vSP_Oy zvSbJ?3OL2w%PaS8tvJB3j){(V~xp6f%Kyx zf_A3daImQusAubY7{Faj@44|173>Yqg!<-#-g&ZiHe>z^9n?t-Oiz?M-*|_un4cOPq&fhg`cpzPoZ8Voj(RG4M+^U zS_1r}own@4@DQ?OrQm{xHZbf*ImBpdfy~@VwRH8{gW51|T)Ims+OR^$ic*sYegYF9RsXQV5k*&uUR<@ zs7J%m4@N6-;U1a1ZXEO}!(TaORiYZ66gEU$43Sm4Be3`J z8=rO4XZaM-Cgiwa-z+6nF2w;PHQ@v^FPVD)j#_0|-#!92jV$FB8G!apkjI$!Zi`_8 zV7e5_SvXP&iSh}?9}z~DRTY%-+!ymhhlyfvM)d_FYjZH4#x2|E0j^=2w=EzWM&FLD zI;i)WW((#noxKd|jMpB=4gDkYlZ+yn2{QkVh5oD8*V-X*4!;7@QYA((h_D^p+>}Wa z{c4VnFMd33jD&`0cYYKD9kDS7}{>%X3&1RM9qrQf)8RlysT1yjD>cz=9 z2lU8G>>LiTY6WxJhUW;hi(37*JY_Fx~cA}>@yv2UgtD{JieDN zr+h?Y9dbca{OwDbmkX;!zkRBuj1##~_klpo>XkHL0(q4iDK8L=!-(LF#9qRPK=KpT z%K8owv#ttJu7fH`*Lyy<#tmWLxmR(wbXvy(n&a=XgKz?Rq7KQEPCkI<(7&iSoaA$~ zyIcqEG|MTO&w|$dzTBkcK?#`<^UE6nrK|+&$Z``5$i{A08RP&_{#5xkDQk%74FerM-0OJ7=BMq-t)PkPbi2P&MVKLV$f~!*)%FEM0mZ!rIf@Bbd{Fb+=wt zUl=6UA1V4!E0|9D0Qs||TSkkC9_6|u28dmgWxnN{`qyS$+Z7Q#3ljaY"^&=Iog zk`I%|-g*4`+0<^8E%zlEb6G38b|J*5Cwpc%!po1^p&O*dp0&Z`*Fk2NWjs*?0%W%ED@IT5$h?>A~-h#^u9lr=Rj>9<-j=p->&> zleXhsKKXXsBtuso@C9Qb z6uO=cVjz0f#DtAeqM#L1NYaQ*U`@tDo_s4fYo*l-q=uB(+SfhpIBG9nyin&?DKYYh zFr2_RLG1^Q();dFkCkg;eQCH&^knYdQEV|*(70><_AYqo@iBPb9X>?!qeCGcdf!>R z$INv`^whCmR8yz0ak0Ylm;*i1VO+>L`25z_xBX}-0y$Hr^KO=94ln9u!naU%u1$(f zgAs=CJy=j29_cZGVqC?gZha%R7W=_YE>N-ZA@9y8^E%AGcAu|*dj;G^n61`;97g?( z=c%8>g(h7szMIHgzxg6O&WMMR&U$^j=`BrQi}*gua>*UfQ=t`T13$w?h}ze8ea`>! z$lJ7Q!Qb9ERU}S#+xq*YBeL;>L%TbjS89CQ58Q{)M(1;|wmceoVCmcmu8m|iphfm( zYgYVM*Bfzf`a<{ON?)Z&hI>pBH61db`*?0m!Kmfj$kIlAj=hR~C64HUUaqufV6|A= zf$(Q|keKoTOpp$WaTl{FS>pYhnF+|n$SbtkUX+1Nbk(A=+VS~hMZ~BeqYAo)k#Dh{ zo@i?cv~CODL-lZq+ixY~*@Tu;Y@8)Yj=abK`@4`=HTtxw^?D0z|5AyVZR*m5Z@}uj zAgK0>KLrA_J>uo3-xs&KTFwX*rBlm(~1TSjM;KvE?WWlKuP6zwQt== z!&Fx}F9O0xXu*Y_VD~Vgfe7!bNhNU9er)>~)~Yem+;6Baf7YcssO8=GkSAQTgumTa z%o2yBY26gbB+D@cCs4JtMseU4oL2(u4cR;!c`2!laCeo!NEw|X(fB&s_MzP!;B3m? zJnz7qQ(T{+Ple(o&D@qe_3g5;Lq))CAY1et_LK}ml19Ff7LGgAYHaJQf%%3P#GJAT zo2_abuhXNrot`uC5pr}R)L+5hzRB%DOoLYh112IS zO5}pbg8ev?NOqBi zHFt1Jr2w)N^vK4Agd&Y<^dh8Q@b$BriwOtuj#$`+TsL2ARIoev&wYVC_0}XgV!C$# zj;pFkN@cJ0m)*VHmGrKUv5j%YW!AR6m&(m1LLs@t4(KUSUunn#&8Iy2a)?|2@lTYG zeSxav69$s0kGOcF!3#^iY=*rmwi8^n#(tW_W8q&WB=j~2&A+gS8-hx?^?{4} z2NQnfq@-H3>nZ`S9_~Q+L`y3tu`0>+Fs4$t+rV8Lq|3%j{RJNeKv6ZKJ_~LQ>)kzW zptXa!L-ZRtUON!}`c8$dZDy|uOG?@OrHSuvUq<70gZB6{u$0#0NReOn)zs7`&2+54 z_Gm8uB*Z%G7huT)mpe(9gC^(07AG5$WG?o`rUJQVUC&qoOtwLlW00{p871z5udWcs z%XAxexI0s=O>oS!wjL8X@Ztno5x1QZ(Dz6J&1vobzxLiUF6X|DAD7Ugp%f~KXlY4H zDl(GltfWC((%xE9Cv8onp{YWelE&HIOG}bcXU>-P-uwI=-{it|U+(*Q@PGZE{C?L1 z543_10@TFXrmLJUO?MXh)jwRYSM$b&WXy>0mfd zLWgKb*p*PakkG+4sP9Jju2QJT(=I z^>Q$yk?dr6-b>qbmxnk(zV}KbI9X8Iv*}gSj^RxW*M`FAB*jcl;Vs8?uNBl`0u+7t z?pGK4j8CUwdW50|p^3-#Tl*>xH3>tbBvRZSsHD^G=UA+^nCdR&R)}miBzKUb{JMYr zN>>`Yj~-bv9?ZAUJylEF%LtP0gGAsRTJY%&&laaZ&I+QXsM(?hmCB3Jo^^4 zWd$?CkgB>_Rsl|CU%R+fh621kHuSbZ3gx5;m`eg%-=;Q59&xqV;hw0{t>1eOux}u)KzckyAioMnHDrs`W@>0_}T*295vD(1)@mOh-!QBv}bH|}~_gmp@uP@;Il)TxA7i}3H`7*Mat_U2dzeeA2-?DhDW|zA&QimOB&u zq)wsk=}S99FUH>O^`IN0Ffl&t%uOpE#J7hyX83?VG0y+-9%5W-Ed0^n;?Gvhrgh1c~il;O>s5&JyhVRE$Q?0weZx zOT>i-jwi#pIPMvc9jAsu)^V(_f%lKJEzd54Kz zHjuWDNE+c-TnZ_6%6V*m%x%d^r+od9+D@v@{TPX{dvH);$|ZF*LKl&upu?N1PiL9Q z`t>SH7-K|Gy(|lk5>QP^a~>nBww2}>B-o|yXo;3B-sQf2(o68L=}z7Z0!GT32MlB_ z5ml$2OA(4ZKS8^Y6W)41-S$DEl&=lGcd}$+Nn%ww$r3NF^0db`mSfLt3yt@tB$bo#R|O959z@K9vxiY%F=lYDE%JWHE2`&P-ivF2bW4p*#%C`FM4O+z zoK|(}FpGh~sUs|oN9ie_RKTrE-!9%&;VZ1uaR$|K_#qRm`{D%%j<3CcbB3gcrG6)! zM)$6{cFM3A`d~_Vah=Kr%-NY|Of?i)H}+S|J+mlwc6gG_Tp3x?BlL2yM1a?}h#lb` zKZb+ymUU6@q|g&f({&|M2cAv$Qj?>--mcHTd{~dN@v82Xa~pgr-|o&eOD*gBKXEFI z`$SYk-yTCe`+Qc3T~mZrL~#Tv3=#VIc6-qku>zmzyGI4L2k-8!=C~E6@<6$EZ{c>; z6DM@6Kb#|aW|sY>Y77#Y6ZKrL%%*006&k%x+z%44NtqxYx^1_>LjH|tT)4`10{exF zE0BLW#a)H5@SB19NojFiy)Bj{e%a}>hgf$!`p{!Xid00ZB{rA?rc;2bvnr%uuwz>u z>9>zPnX%_Aiy6duupe6!9!5)T^>YeklsojJ(HOf9ky^Kn%JjIE<+^`9a$|$)S8gv^>$Asnub$|9)WwyZ^ zsrx+N&@iw0NG{^g#j6@3*PBcbraysAhOaB>HjnaWZqKuC=;N;J6TDlsN`CNE4J3N1 z*A{Y$1%MOV9zAJwgcW^k1HrH$6`%H*A#uxjaM9cj^ORm2L~vtVr`_B1^0%e5Jg_~Z z0Bx&xw{CVR-ZL?XHPX^GOx=fG=Isr-uWvk(6*#UqTlR(kxu4>2(rTj+QgLVFNr1BA zBfgN+S*{e`RwRp;o);FR4_i#@u~=DYKdj3NhK#z^>$1JV8fI0!j8`;)Q;jrYrPrB$ zZwMp!6tUP;mOQ$4_lm ze7P?$>}XY4yzUR!xW~biDEb}kUI)pzdRb(|jmmF#EzyhF49G4r^dDC%Cv=pxd8OQ2 zh&c~c0^7vynLhBW8Y_45I+R|cmg|1H0}3b*CNE8x$3B_&N-+y4?k1is8P%(_dGei* zTljDlbG_i}#6+u@a-g5JKq45`fOnZo`M|_Muj)1Y6yARiLAH&QO^R$G;-;#;jj)E% z8;>1fr^LnjW3%3gDoP0`TLAO3?%uTwC0>MyHNtlKd8^X7uo|Qw3;?-_0vwbZy8709 z$}tKLswpJa(wz!A&GR3^n^~~f)N{Jyx|oSAU$DUe6g{cVxIcgxURe^56zghSym(R- z_nDBVV9M3$P+EcDzB4hKHb~}`c+0`~`RZV6nzMS&VyB}Xil0JW z-era5>8S4!DtPSO+35_)T6oj7Y1)|V+I7>!CzQ$X#f3Hx-kIbTFGW3*)#8^vZsAUR zdqoRMXy9B-O8s zKAy#y;GT8Xt{ls)#o9Dt-!-kch>w+W|4(MowtP&eJ#`*`W$1WU@eM}vi=CqVyxMsiT{aMZ6Y~AE-X=jz; zZ#f5+YMtqxwH-?wnD(e-pbYvDtg1DP-i29rT|Iol;eiXoR4xxnclS(;knC}3;-;dh z5K5UAzXSaBCVez(f~%K$7E)TG@xDhEVT)9#wUznNL5VtSsAsp=o&koGFrS@%H}tH1 z&%@-4*G){T_#P9D=F+xQ5B=d~TdUX0>!G_AMDKMOSxnS0YY0Ats%*-^2$uaZtk<}v zG?a*Jx}`}JcPaI=Fw+=QQ{eayp1SpXnaFu+mx+{@Y!{BluI!DkdV?ORugKx!u_2v? zQ&{>9*S0(g`VI5E;a5dWGPJX>%&Nn9$MRcG+>^!*U}&?sXjFAlEm}hiWVM1xFN&B~ zmPKb{Lo<=}hA~ENjD330A!lwi46mp^!ft}cW1?sy^7;;NU~R3Sa2_!kC^L28kh)u? zZ@M>?_^P94o#(aEr8BX{4+g_ehY`wO@je-LgjKq0_G3eHY4s$X?FhCuvSNM$$C=kV zG239$du>*&>?WWv41ttWW{k_Gp09c-s1RD;MLP`R{jU_0A<#ERvqy1VNvmElKi&sME|sFi#b;Da<{?Pudb|u(mF@) z&{)x1Ndpd@H--0oL357ieN^F&UM<|Q_hJDF13j=t^pabpy1 zl@eP$6pkBv+IMYMcyo~?6!|%4INzRv@K<&54*X-T92cD-PGS+pV> zcG|BViq;LIy|imj&@S9;O&|%a5Oa<3S2xjlV8i(I{L;<#7ITy9Y6ylYE%4CLO{*O| zo+FH)VrHLNP?;wWOa`8xsyH56CKUCRjYcT1>8OU_3(~4V5@oV8ZJ$aR9Ii?}Eu|5$ z8h-D@<5wg&!70;KL!Tq(viO29PSnNT><%tPJx+|Gqcum*LsH{q-=dF9LmwF;6zrzG zg*~41+|#1Xsp>+-Yr^I)`zHfIWCjidNjnVz?ZmW%FVL3P&Q-Gel@bV>Tb}l(xACq` z-dhNL1sfEn)V$gJn@*CswCj+UN*U$I2F@9ON~O2BGZz_KOa=Na?Vkxv58O>eZgXuZ8*RdR)n*q{5aV zE&M3W+@qEl)64t(ny8a#9nv6&KlQ?$&5hlxVckaNj$($hjl9oTV)eTum#4}pR+H1! zG7j357A3582z&4e-@n~xljlQk<5`=0)eNY1n-_}~#af~_jfG#4M=#Uy&jSG}VOS33 zI$A!=icjixh1b)@?8f zkoYt=_Ju$Eq`nXCh%1@HWqL=}s&6Pdo1?nc$=4*7Yvu1PNLvuRJE3bTczst&{liMX zw4Q+bJ^!q4Y`xr=;ZH-@n5Y8x#ymUY%thvWDIrvGS;2AkQXZniX9n(vxm)&na_z9( zN6xy4jS1PhZI;X+PmuF8Yb%X}N!AKX?nx=Q@|9omBzCnH+=F~Rbw>4+G zj}2r=CpyaN@)1?AxDT?Bi}X{XBjg4fqvE6NI@mkV`1SRZGpX}Xiti{8M8WdEAEqO{ zqn^?t9(o6caaz2K73 zq|YBB)v(n8n>zH6HJZ1WP)6x0MPANp$4D?%B-f|v2q=-_ zMl5@Ip5q>jV^DN#ou@W+PIxtEH8~2+K|?20Lw)?s ziB03!UN`(j^6evaDp_;0=Kk8Cb*5V?mkm(DO&DeuxwW{2sjdqS1UsulQjLz*q7f$x~N_QoyqWIp( zUD+SF=6ht|{{D&p8>Y(XDPk5ZFXsw)y%N`1Z#QBq9B?8EU=$eMYon`?g)fky}T%cEm7_8@-=S1UmD z=8&c>&ZC)ckZGW}DmaIlTZCie-4!1E{3n^flgOehq*vn(*dUN0V5PfW@;oxrTe=rs z@DC7$9kd;5ZyxmjR%y@}Ioydj$U|jhJSXNgp*L_K%ZgO*5ni9KemGUq$~Lb+XKUS! zk5P-3dI#W0TY;H>ef$G(_F4{ebSg?Q?$f+CU7476YB!wi_H@d6*@WX0H79LtZJo%O z#MjCzed%nLAF=JHXp)%#CMM2|5>$SP4eD2Kuwb$5b&*~nzVOUAYxSiZJWfEdy0MZv zn^yNrPmI`x-fYKp=)4|KV;WRb9`mBwG-LH;- zI8fwp)yrV6?sTtfS2=^TUT=9aNbg9~UFg2!bEe$561V{{%+Xhy9&hoPT_RkTBU0nB zH@EJiei@}|)kmshZQ`qtIX~1~&ZFS|=B?cBuk^k&TsJanaMEvaF00F&<7y9P?2A{U z90M`#R$p#;bUT)*M@_I@v+8NyrD7uy*am$yIYQ|?CQrK8S!Khf9&irfsxW6B8@moh z|8yaZbUU}1_D2l_=g|ImB%THUIZ-hM!^Y}I8J^{A=+?X>vCgO{Mgw0aCmzUs`Lcx zE9uY9Kw52^?gE;OJxg~|NW-xc=GlcTeLcW`dr6``HFqGqS>2*g|0^fCF1P8)T~qgZ z;!&YiQdPqPcTmpGV$o5iwcK{OIFB|gx`~~pI@uT#edRB~3-WZC_8N^R@$#Q9OAW@x zJOvH@ZX25<@CC&)dB9H`AwC3&yLpND7lO-XR8`&EtUYU4NP4nsfdr~yu<$)c@&(pt zhd5jXy{g)@?2e9DVDD>!w@4uH-N`w-yKP3A6U3BTGN@pgJXwpyxQ1anfS2}_VTCu9 z%vz}#Bp(!EkYF6(-?*j=TVBb{N<@%xV@e9-8OogA)rJjC%(=F_#WI&Y7)|_X3yg?W zdw2!!G`NL^ZGdvTLX>06yU>BYP621iw6a(`PW`f@=<+FY8-1+cBHcYfx zec7j8WDhf9iWq$lOs`fzB>jX|PhUAf1hs1IMNF8MaP_Zf=>_vXOJy%4Bm!{e;D*76 z_V)c^01%X!>!HmDfacPM{yqmQ5->T)0z5S9>1-lJbTFIv^Tx#_8@h2cTNj60S6$ee3@(s({#KAv6koYHYNPlNQDf)Hklz~ zr9ARtL)dHac%aogtyqi{HUP_V{rwaxA47}!DK>zF zjE9Szq6?DFU>K7&-*D;kY8Bm3nf6Bp`Bg-FTn`7aQ9E~BWIcqQu)IH5zm$T0w_jA0 zmUU8JKyXPvZGz=$Kk!J%;G=Vho5bhbyAc_8sn`7qWZqa{RO)2d@&S z+9IxZ8JF$+eC7DDkXMsv{OZq$=jzhv8Vm+_cY%I`BhWRvScn94GTl{YUSy2OBWOTj z>$xV}ezCI-r45Uy=%>xu*jOxWo$X)$1cY$hOLphR3{7e^zkv0Gt@rLE`pAK!GlNFwa}u8ek< zx`i56&-7sqI>FqJ@U{vraKKcyN1kZnxMo)wAO2%;y`rcpGmw&~F(&xcVA-6fZ8*!W4?}YyExZ$kgvWDI$fDbCmFevKU_e$G<69&A z>n|B4PpqwHHHQkWmysF`RpHe?oZYFR41SyyX;Y@|y8$49TaF@8ou*q+A0OH_fm16y6iT1E5& zq9YD?FmdQYK*3yqQ81iQ6>mU+9*T80mO03DG%+3zV!6{G(6*HFwqAJgoI#Xr$fT52 z(|3E2Z5h!rjotraHQRI!IGJ{cJreEkuH_m=9VTsq>m-vX+c+|D@2iH=)jmAmM| zfS|XIF&K|&k^7OL?~+1TOSh(#I_-^&VYeF#k2^ror$sEj77PKpc9!hfb0#P0>F=TYA8_5d3OflFnfmXTkfH$`PMe zYEgZ-^~(6ks2ODdEk?61Pm!82y{KIZ{yG+_;WGCoq4YS|38Psr&x-%F-N0|DC-YTC z`TTh|?N9F7bP3_rK5h`Frka{qNqKIm6@Q~MO3G5t-vPQ#&1 z_!HsQr9I6xsh-OhDR^^64;9tl(>_+_WWB9S52T(XN6K#G6Fbb?@_|-CW!wV73#=Vn z8jSf&7N!$#P!FvDVEd6w1)`T%!}$$RnGiLFl4gG{o4oKbBKv$pUuEUB1a%Bw`HvI3 zt)5U!+pEp;!}lc;JVEm VGX?)`7;3(vFo%+>s?Et1k~(LXh=QS)>#YD|S5b0xDW z7Uwsy($`dP!l5|3isV(Q5|N(OGo5x&6%KXzs`g>WDzHE?7F}X0mV&&M5R$i|rF|{Z z>wPqCy02Oa2%deo0hl;6-=-~u3w4L)R#+$o_d_wSndC7@gI3Kn&sEh+Yh?yrg&6jCI7(-|+?*G%?u3LH+_|EuYEk+^DrI~ZlN zF5SFl<;YFw0Noge=So z!VWz;Pd+W-^?8-x_%Xk7f{F@i)T)(Uh?-eetJXlP&O44JHHh&H-d6iH=PO_>EHx** zse&{=?}WgKw8X}*y`Mh9xi6^@_`QB{Q(Lqo-`cHJ2E{9O26&(TWIt8hbi?DMz^?~I zTzN1pWx5Ir5C*MJ$*MePC;ia{m|e3JbMYgm;?3RUhmQ+Fcy3$HW$_H5;sHmWx5uXO zgzrHKmo)>iyK}-JVz+mX@q4fD3aYpjio~TUd(&Nq+)xrdP){mn1yc=_Z^l}l$eVyT?%dFe z&3^+1I>tkK2N88M_oozhdDqXFYpJ znoN(!Nc$9+w z*dR<#-e~^tVT!&!W{>{v6cr4Q&~f+Llbb7jX?m4S>#bBNchZhuH8)dPLU=KM!+vTm zhC$Uhzx$PvbLUsDu_BN?!S}Deimj!FtcgpL+A!neyhRTGB@S{upWj0ogZD1b>B?&F zMS@iVl+}ue(CytCrQsi8EE?KnK3O};34{TC28MSA890&7TFtH)0v+?cJ+l?}A_k-M zi-za!F^e%BZ`*V)_q~g6xtB1HIiE@KtJyP3c3CN@RFpH5%N+h(9`B@;_a&$28OGCG zGhWL%B2E;I?%Io!7$)jlpBy`89|;jHyY89a(_fo1u%kqBCq~RzZ=&X~+6BFg7QL*j zEDIW+Wn~X|sRwcapuyJ2Gh8YDaa%G?QSaQoiOZC;2WmIfNd(hzy4py2f^xWg{@TyX z;g#(;E4OXi*p{R(oV%7;O(438JAY>K^GCsj63u&^;15gQsSA=|&yp85O|ggpmjNz% zZM%JZ~q*4sqNZ|z00UzfelM;+?D#2iwti=wd9D+_D7jF`5QggSM;bdh;B zUYF^9y|imdeQ1YUcbd5pLW?#kZG)H|^p z^OO2rwrY^;Vm?jtu{iul1{n%##o0xddsMgHfMwHtrAi;f#iJN=&%Yr0)fsz23H*CW z8gg=Sb(4v0pS5vi_bi?mA5#7G-T8jdU&@C?5)MvKx(as=A2gRG*gD4BJI*Y6j~_MX z8p8S6x&7*@OOJGTar*~|PdYW1vW_uDEzSnXp+CYZe@kL+e%#%$!)Ut@X|s<2X=SjC zYF_{iZ_MLO@$nq$pTo3Jz_JN{UA820&WK<3!w_s{l3D8aC$y2~aa}nPK_7`4ta|$6 zD^-Tp;lp=M*?af@=2js`_MeNPSqg4Z#Ijw8#av}qIZ^rk<@keTzgtLD#$R(^a+*Ry zTDx!(@+mNJU7NHLds7t{G6!K=&sy>-KG9=gRZROgFN7Kq1tg8~SIo9~Q#(CR7b>xB z=xcg^J~MWQSm>4aj~^l3=qf1_?6i@RO;OR-mM{PY5XW&3I;|zYQE$u=^xVb)I#lo= zObb~B;;PE3Z|x-o#y!gke+7w~XMyC@{!;ACjPYKG7rf{%rY$G6j7eHmeq1QKcWKi# zIdGedl}4;QH(t_MlW)EndI8r7)0m$0Ll3$Z7AQ8+xzj|DUv~w|-Xy+0rxa~(tYcdL zVDNkG`k%LVEdA_G+9b6o(F@$AK5h^LsZLxz@Iz!GErbh)GimKJgY)w8#Ju*BnvYe2Vz;+ydIv+X5xMkDH|`PQ970iR zGswBxzdKzh@o%?pFH-KNyBf7FT)@EwUuZlOmV z&5dXLA!COl2j)Z*c1@^V2hg}E9>5j@GtB#dt}5vD+qZ9xC-;sGIILoAn!Y)*2GHAB zoj*^=opn?H0J93z(Eke3ezzab%A+RwE0 zZxO3~=FuMufAkfFwp-!0PdTii^b)CGlQ4G#uv`DLA<3jxr}N3V+8c7^F@?*wIcIZI zgDpFHfX$7xveL3hdYp6nzgZD6Eq`g;@gw)Lt;-g``o>4`Z5g%_)Bd@DmJqDsuC&C> z`jtDSS@oYpyMqeQp=LYN3-1%tVNd#g!z~U3aFlGR?}K+{v1%1&C5&|sOp=g0VP?M2 z$@j;j-nBWtkcyiPt5Blc7bmcFK=lMmj80ufd!U&0Zw`n*na-!~y~%0}Zz)$0#&&Ox zg36Dht|yTaY2Zj{KO*ukK6H&>PUtK|J>U$+K8ULhnulHK6DhX&O zQgKpj^8dE_ZJA}8UFMzZ{w;yI@%#SGl1PMy?=~3iw)d7j`C8##_FJYbRr((%&D<5a zF?1?eG`uIA1A%~CCT_O-lQKT{3G0Sf*GJacx8)&L&Ev=UB&77tCAGX5cteyq(uaJ; zB{`RvnWN%Q5|l)Irg$c@r`5?|L$C_aUbDC!m z(mwO}_GX)!+>fKE*74{>pXTDGu_-mqxev=900dni44N+-0w5)ieeg?1Zb|R3KN_DM z?L`V2&QoKqT?d~x4-+ROM=jVVsmJBiRC)B8$uDU=X0&X*lii}48}IW&s2UGwv6&l8 zYbVG@W}m1~D0#r&D0~#5!NlaA*k3%q!-Fzd_fJNOZ+2YLYW|!lnWayQ1Zkx~+%})A z1ky^eaPkv0G4|@8cYT%Mq0#2aAT(EY3Zqwlo757HZExJ#?A4_~zPIV*8IF{AGx_jA zW_NFrKS{Fpv(U%|vv~p1Op|atdQs9U`F=>UdGbCV^ggCfYqlnqae<)q~mZ;&BYBzRTx2R{R@ zCc|Sjs?lr%FB6q!(n^%B+OqNKbJ`uyWyx4s0|`nX^4;&T>Ar8TzKQ-8})B?K*CIRG?s1{|zVr8ckr# z^G3Qt{Tq&J>gxHJ#Khrs7?5q&BJhWm+1!s$}I%Px$+(w&D!|gia|=piQF%{S{ciX&LW)IM<9!-p1v9 z>|S^H{RMNo`I~b=@>VI<;bXvh3CheoKVK)tB)@w2ma$0#ACj-xX>1Q2WSw^x#+JVT zsw>{8<<-S^w;N76W+zx?eS^-GIUCWD*YRIRo8yTxs%$*y-#&9M<;qY?zirfQY+85o zl(K4x$e}{0SV{DozDq&|1hs%qSKa=C*HSJ^16VMo4L`n+e!S|pj6M(be}*W>foIJy zCT>YxmAHWDZ+1%IcYjtl{m8cjR2ONbhcvfFM*fsTEQaG-#?aWQHX|Ejc|XWBE@E#5 z$$f2yf@K^K7=68^))0QiaVE&4SGlfqjFY)&=v1-7y{c4(R<#m2JC7BUNIjMLtT)c% za*#?cD-mcVorbcH=xJywjsqWK2`yt{V)A(Tigs|h$=}?9za1*y$J*gb3AQ(~dUi1B z^$OO%*IlF`}vyoSt0o|S(ob{z(R?~D`<@K@3ABs z)5T(TC%wHt3RCT?(YI0+w8Oh&0d3npn?eym121?;EjY02`!Iy$!iOR7oWXk{T(QlY zC5c8+o=t#;$^^7c_J?v)|Ho14{CceYn4snx zw0X!(N!M@2Vx;fHnF8}#PWO9t6fSz`VLG_WjLo3ivGmtJv*x3aFtja#;#=TP3ur&rhndarcQe4Y!v0 z&>d)JI2dt($EIg=$zoY;wHbJ;D$jsIC}} zQzxdP{%M`g{vHKUwilaS&#~6kFUuaATriAvXyv8?A|P9K+7mtX8L#sv^2lRZ>px?q8AYIv&TRmI7kaAOh_K*q5?4C~W@ z=>D{qGf@A(XfsgXGob$;4y)U(-_-rUO?PTqqoMbVR=f^V-6Al&FroH@Z`rtZSH3-- z$jR>^H|mY3e{aA^Qw28j4_c|8^6F6&9a*Eri%{N^PqzA|NNiJvtqNqqUq64oTq;dL zVyBG(|IJ)WxnKm8#o}%#`tu-kem@94bF1+8{#GAgClu$uP>(^^SeYwrOnP;ga2j|l zeAia)41fGK)}DWIg;~%4CStc9$wYGZ zRqf~fj=|E~mU|SfJb!x5itp9zlt)G=C5)o??lJ*o1WEdcGHx7T#mN5&aKQ^~oBsq*jGOEB za}8$e`Z*u|@hDWz*IP?cb=OUH%z@8QV&7Q67?82{m8ywa94lzjI^GS5Q z)kuAU@<{nViWe2>kDB!67Ph&Jo_a{%dH;K{vVB*8WnLh?2h^DVA^JkOZ-!w%@@B;M z8zKipY3OsB*E z_#?lBl7HWfcU=_sKotNVzHf!ZW#SHp5GmDm$QTvOf~i=)@0)xI0~B#_Q0!eKi4OX2 z(sX}Fl}$_F;DvEcpRJ|2?zXvGm-txJo!FfU(m~D^kl66eExEE6xZ7KEsQwlV{!P9f zSUqWxLl8LMu>qVlM^U(*OU&E*L;)5HH9?BOhKTAcm6Y!FH?YD=F{gz!d%y@TIvkPo ze*e><{`*&(71*@I%9LLOS8i>ZAf0`s&ZGDEu%vsVH&hn7zCb?PC3eYC`a)Np?WzGJ zV$vDC(h5i(Z~JMl{w7do$?aD52&Mff&>v99EWE~M9>DERDS2!AUrzAfG?(%)v<>uU z652m4{l1hF<>yd=R`HaQ#EK1n)Y-FN8ipMcZcM0=e^;Gu>yp$23)(xrp_G!|em_0? zzZsbA1JVf=R(;l6+8SD3>ygc~aRe5aN&m-f>0A)jGLBX9H#6OTKg6J5mo*Ur zhDPd2Mkc8MALaoJLB6aL0y4gAIzA_q5b$a9{(h#w{&s(ls8Kd~59mpPR9_xEdF%2W zXmtp;Gh7(^(hTt(qyHhXj=4%^K((a4wz~V-i0Au8-2b={lCH=BQRj!EH;`o^NXMo% zb=-;yLW>yMfed$r4lH&Ul;i&j6=keN=f%rSZ(8Y)U_e?ai6UlpuQ~C@Ym~azG)#cN z`ID~}0!*&?91&x`jW%@G#vuijgF@z!_`A?k-h7@y?3NaFDDSRi6M{~Tf`L<>q97mM zDSs3y>kEY~+L77cptV8EY8av+UuffLdxE}GK_#`+8&J#x(7LQs0o*h>s>mE*Ef z4>-~KG`Vn%e?Awa$^Zya-8;}eeF>-=A3~yay-5d1^nA4LO<$ZXv?A?GKPUA@(n{Tf z84K4ed5h{#3igO!0ka;{B93&p*!KYRzz1Pcvti=DEel*nJQu;!cliWZNXUWm_D;>f~J*cbZ> zb{HPT&%(f1S3s_pIRzDGkyVbvK?IL%(t&OmdAtC}CbP-d*gn zkB7F2kJ``riiCGa^iK*VP`{Q#ZvE6BZ#}`ZdoDnUB4MJz43P9$I;GoNs-RWum67lH zDJ5%lHq(JqO^Gteg2+Z^|GZI~cP%z3yp=H<%Thjq;99*XqgK4q`X&x?r}g*H46ZRM zS_Z=7xDgZNL&X1OUp6{;yOk7$`W?RENT&~^@)=Ws!iy`HNBOUA1PVKwyQPWQ%bOqD z|HqF7h|~|yO7c-_`13<+(;1xSMOjdjVndk0=?#O&DCM4=JO+(eg>lhhPM3g^%x4op z)K(dLTN`QB$}Gp5lEHF&ekRiYX2Gl*b0TR)*HbBHC$|fZTq?B#y1JD&Z#}kEIrKl4 zT5E&Qb|%6J2T3Bp8WQV?IJXU#sWswVjioZJtr6#~D#t!fy z7V7!WjPl=}`#ASnPWHm7GBU)t^{XcJ7h!ftm@0tg5bybu**JV<%jG~GIm16`#x}(= z&{2e$9mz{HKVm)~2c>=P@8px4ttxD=GiNqi&vnBjL%hD07XT>A^X+s zLXP;ue?8*84G}_3lY~MpYYr`&O_Ruz7yCy`eF0vnV+a?`y|3*l5v!Yhr2k@jU@vLm zwsc>K?E$1L4g3qq^1qT>e|uHE_kx+32LLt_kO#U7!0%$Qm&<+LyYjLKiSRuY>01> zoR()SGf?+bB^J5RKSu|M`UR6Z6?Z|;U|lQHy8ADGVzYVXf6F7%>+%1UCT_+r|64wh zo}>RQftw9f|MNyRJHr0AR3Rb#|Gt&~cVt_*6h!F$FE}!q#N=f40?QuBpzE|dnE*Zz z^G*s;T{h!Ui!RsHkXTGV)xs<<2pFAm_ldM#_2L?S4Rn^c2wv6Dn5hvt*SA@0V{7Ssi|3Jt5=! z4zo8_Xwm!ar_5iqlPEeJ${adkpKWrs}ZOt z3|a~@j{snEc^jZB6yxN9Ja1zb2!$iYGFa-1-@cvJgFp*;&=eS!+(>Za63;E}AidG0 z)K9wKB-#g3M19kZd@#jO41n^264r~%#yMSfPWupm=yWBl_#!~{gqGb|mPWt4V)i{ri#?D5qle?OXKBgc-OFF7z5 zcY|8|3r3A&4?rZJ@fm-59r(^#^w>Zygd5JEklb;Y1pQt(OV``DqYHUy_IRz*eO6O_ zJ}vSGolZ@ZMtj660jek-veBb!DeL=+BD)O$Wii>-)+X;IFBq+teg1Ku52i`v-3hWv zb)ewK??IcYoe1q{j1rCMo+}k9n)crbom0NI8^ZNx%;a^&!$Mc>M>Ol-0m22tctiCo z_)Yym>&FB052^MRIb(~Sp^uZ#dIeTZ?1@P!T1cX9PgXm=C+f8AUCWwB%y{4l@Dy=; zAJ^SSroB|=m8P(~XYH-7VteCyJq}RPeRy~#C&Si2PVg1f@@v@jlxb{)PfoU*$Jyig zIA2zc2Xl6@7>k?A#IuQS-o*55psml5g@A`hiHWlQSm7^awiM`+JpXV({MO=7oVt9V zd8CU6`=cbqFxCNI$3@MTi-T^SyVsQ7X!&dF1je12*fA^$i6bX8vxvd&S0l-`2jdLfaJz?tF%AV7uUpKfbRcH!VxFV?AqBk4*!C0wDTrMW< z?ZW*X?V(;^uIEFJ;LN2g5#{yT3>7B*8szhuq0Gv2DpZ~xAsKyf#+-u=uR!@KQhs$65=cn>`OE8x4x4fF#mf$ReM2txn|tEzdsThK zGc9E!?4lz}5sWJ2GWY*K_``0{uc`B7BNTa!gUs7K&$)T-1x&y*uL6ky<<@c||K=E( z{Jm`^v+e68YPS14U31znDz9Izgc4t!xv(pnFPu;1`c<&|5C+ZE&E38HI`_J8!ShaI zjUtPo=_1pfrLtQi%O&5N=3c+Mt|ie^VmF@(VaYXTyJ^z(Om%N_k&1|#XY}IUumufU zU^3hAkLJT(Zffw4rr8y{b7`!s&@Aoe#_b8^u4(c1yXj8r(~14gezsCK5HTS%g3jqi zFiJhM(uQ}-+V%~_dPA!%=<7X2%h#L~-`}j(c5I$y*ms5z=vj7rk7`NwcgU^tu z$>Oh`S&Yo%En1EU8a9OL?0#boi{4qE3F>{9yy7mozfv=uQ$x7d$BH4jIp4E<2wpm- zw}aI_(Y#`3x_PN=U5QF6)KqG&nY)sI)73JoY)zi;+4rQx9vz3FurSdjcu22LGFxD{ zQd5k8`R>|mTH+zj)hE_#RTqdda_Hi-%??bhyv3fTeQJ$yx2v+=<8*tr^ytm4R5?Cl zWqz%t8*?K@AjY_ zs|D_k2XVJ(JdHOhaagWsI&=}+LwRpU1HF_Vp-zbj@>*N<F0CKAh7DM72z~xT zm_X*C%SLbz)H*N1INrX_T2J742epIsS6e;NLbI;)ALFx~X_epTGWku{CL2ctEr<8# zZ%JZ#Z7vQ-mbXjnxmKF>-5@FYYSI+JUcak3T+JXrOtO1xel1E7S^I&;=Xit?F=v}bCZ zA1q!k%4w{~4^(tKazm=B1*oUW++721T`2EodMz;dBejdoVHcuU?Q({C?)kS{YBsU1 z9}S}j+e1V*h$L+vPrkJuoGH?ah>RR+8ji#rEEupT6>p2bmdI~02tVq(vMeBwa6d+$ zZ6d#2f@6F#h)3J@dlDopZth+cOT)sh(zjduZ-O>E9^6d3CT*}EEg$0&b@6jJ+e%~EGrf`>2DYzFlNC=sXN6q-eXmad2(pWV>9`Uio5*R0}_Uj7u#cgu}C$&1NqIwo0$02Iln%qC6KPlrR0vUE|`@*y+re%6eWETJC#^5^jVJ zA6>gz-t#H?5z-A$qCFvq{pGqhXxkpJz0F!SQtqSacCKc?XW*@5z=%i)A`9T z{~P=rw(YO(9@Erpp^5Lfbmlf(Gs-fQUl8&g39o#v(TiVk*UEx_z#gB-a1c};a3Pb|WT^KD;>P6D=S#S9J2W5My2_!-DMmxZ3 zw-`cyIh+xdTG8s5L{yHCc2T;vPOX|FwjCtT`_IP^uZ$OZbGh2!-bKw^rSKyn8i5wE zy@mYWhuKHjj@|Q5!v0T(Ve_eb2yoTX-vipA1JzY zT^5Z1LP(P0r;xcHVe{Yg$mNQ?tXOZqo@{w3UwmHM=@ydq>$1f?(Eq_L|J+}17Yw;{ z^M>Hii?4)gehSeN=kv%g?a7+n z9I&JUFTPTPi89`cs{h`_i_Cs}+j7Y?R(?jJ)hkKvo z-m*@=mLjy)V!jv6Qyr;RNaD?O0x3pS~ z#Sj-({BU`=yfrP+{aS)ruub+*QB?{G1d$5Oe0ew392M)w;2uq+roXw+H=P{BHC_|> z|A=y8sf-G|$L^KZSC=Ezbghr{@}2|;&&1ibe2TT0oBmn8GaWm=97M6NKBV>I3+k6J zQNIM7uI=C_gI(AC>AmI3Y?VTrDS6vrr1W-4q0JkQO$C5Qn!Os7Waj;BH8mxL>r&&-Kv4(P?}y1KMcY(58zzW5g(d`M{WVT#)yd>rAT zvyy{kusu>k1s>XrcENd=ogGM>h(-)4K4sx4^7R@b$(2MkxuxQ>e_$&v3p%2CKujKo zCCqjI=dVs>hwP9yya0V?m%dedFR}ZRc@_NDIy$sy7hzH`Xb7AswRS8H1}$5yr!gL~ z>&bjQYLJ3_&-ZjK5vuT?eySZ!O+(ybL;JPDFCnh`&$7!mzvK|G#2m=r7lq(V)hH_f_g~;lL-@|XI+d_`>a_3|MpZC zbb#^G77a~25xtl?ZJ5@|!zBT1P0j0H`^!e7Q5Tbpx|ml%8DGu%I<#FD3zoKnxGSDv z64I*c`ieW7NG&b9-8rjpE(=p>Dkd3%TJ;Q+$WLy2o705@7Gy@&xbELZmY}woG2g9^ zjWiku(_F)$_kG$HE0}$|uV}>Gv_6DprpbUPJ;}n&b0w#I>9}< zF6Mwyp%#4Ld-G`iJ+M-v4OsycqoqKLAybW-tW%Y9BzC5F3F|KMNnilH-oK?|Xnw~=+ZtD}0M6rDZ*&t@D#xH2X8uVoPp#o3_ z4f7TZRPKBZ@^Jij^la$a7XDa(d+ zqu#wEhn6@()@x=@-TkaSugov*nVld5=PmFkx3$Kr#@}8u8MljX@vqOcQ%zapxc4%y zenq}ro1YECRC3 zHcqpor)S$ZS%aAC+Ko6o?B8v(KFe1;glH_yv0cMy{j}T|Cc{P3nZW7x=JcbnSabHy z#L~meg!#@9L{Kk(g&5Qg;U4O5E>}A0G)yczUnlsab z^0UVq46rxaDmb7FQ10hcU%T~qs|?Acodg2u$_0Vv@dg_okYSMPq-6lRM_C%{Y7GH2 zv3~>9G}}eZ_PGg0THJ~M@O+`~bLqD@Kns z%ac3wtLPT_ndH4~bd61atDFhPV* zU;A96S3{gFPMgG@S?5PNvNyG=Y0j*UG+O0UK37!}iO-CvDs|Y?9sQf94@7fVwxS|( zSVuh--3e*phkB|i?q&}P_v}?yPRE$S;lraFxc%o7a1d|5D4%)%4+*CuTZ?wDQ$6xN zxiw0Cdiv>!Sua%4#o=w5i%%LS;-1k~y?xgok#_@1tkWn%)gd7ZI6f-hDv&m0IXe|CnRfy6s@Bg}EN$lQpSye-$ zuYIV*PAd;oEM-~=SI50ut1&K_p&t!V#Rf38Ls)5rQaq;Tvt<^~WveeXVLc2!v$LyX zlyhQE7wS(HI5iv2W^IkhP%pFc{fNL{Cfyl*3kEg5Zo=mM{Ct+fV)+25EYVXD=&qyC z4jw~RVZRASsQ9M(h-?G9@UGT%oJn2V{rBnb!X$RTwZzF8bYx}efb~jBa<^rWzj#)Pa}9iNUO>Z;aq83}-|I}QiL-h$ z+2p^;#F`iO%@0y3d3hYJCw>AXezQ4^tW`?HFRw-7cbXexUP=69VlR;rM{QUS1J5*R zs@c;GW0gv$(UZ6l@nUCE21%!pXSw`vcRtZdPl$b~d`q{p%*i&x_JbpW7wWKDO}l@1 z6-AX!fuOEH-sQS`WU*D<%qC}!D>b&~DGs}2hpGz!Mf z%QP|$5-8Dr^`uGtNOq4h+v4+6_hm9vV~+dGqTrhe9oOB9XJxA$@*5o3X;@uUrw@Hk z`=|o*W%3h(CCsaY{Z%0kI&kVM)da=7M)r=`%ke9)SyvvTvxBn!6BIAwk}ZUe_%}J( z{dNfg58Prz*`a!9v=%}Gzc0V5E{N?Xt1qFYy5f?EVu+>n)f;A@rZ$kkv%@j?Y6ju7 zw;gCojvW!b0m~qmf~DC?P{{f_rbR@!1gplu8zR#E;o}=qMf5?7)~d;w&O*J)BYduH+zia)Q9;VaFVKlcp-y>jcAT8Km=>Ye@|Nc9o@Y-e^9 z!lv4|MtNe>H)ixc0WTC#2Be2a=qpE&q#$Fz`oAM(656|7wplimO4>)}) zG#?;vJ8)L~KWB9Y1?N5}IH!iK*?>;$=;NM!Q7;XkiI_hKE|UND09o{I%&Hu9nZ`?h z+|*Anqj1_=wQAW7#bc=4{6&P|@K~I6{CsAQqI`~;%kc&S=lK((O6&8|n6XtdQ?Uik z{ILLGVNT3bq(9!5m%qI==~A?rod^S`^_c~a*K2(MQ#kVe#VVO9MK7z|+%Maz#1_?^ zF?e$dAftaVYJL~c`|-X)6xYq}_Vxwd+g2o(_6WP}mY9c&>|J?S@O5lkZ(9EB%b)Q8 zgwN3k<9=I2h8a!e(opG^i#HZgMYjY!G24A$%j6x<%eNw4;kAOs1D^ii*kuWgHR+nL zV4kPPttvy*K{Me=K7RqJ_CB%1YCWT;ILnZuG-VQIm_f3ZLbvz=A{flni_p!;G{Sm1dVpv*Shfcsf5@M2nF5jm`V zG30;|d0Dj$_dw)H%kHPhE_MR+5ee@^tSZ7j-Fxp<>Lj@g8pMHoy;LabC4S8zn>qC= z1`j;?zdko!F5k*h8AdU$Q&Dm-Ag! z_{V^%0e>2uPJhFInAIMw@qBihV+iu2R|8zj=emOkC2f!oAdN#8I@8+MzP8u69BlN2 zY^+I|e#UbNKG#xRqg^()g!{qcZDmqyAiAYDfq;55>ut%Mh{35>SF-Pf(KmbS4UBY8 zx4|BeEMfKpfZ^g0r{>ph2Of>#EYpX3%iP?1)3KKKfIMN4r)};Qs*F6hO-9nW=1`s# zkw*$v6k8+Ekm4ltzrBL|zh1$2R+7XgMVM!qQ2Vi+!;an~_XQDH5H9^4`G!zBy`yHm z!!^E!tJjZ*=Kdtihdp4Xe0Sz*H`-E*fvRFgmIm49yDQyb{9jx#*qV8dI;*&mHMYfg zL_P#%cx|^08u zoeLMc;^4B7+pq;f(CJ#bt6hgsb-da_m>L;N;%H`mn@Hsn$WrZzZkzA@bGZ?5Wm!6< zS^c0B>oGc#F91hxV|-tuvw53`XxW#>f`>ybE5oYn1}aNEDA{kDbCOV3_;cg|jq;0K z?h5|CxBsBVxGQd`A;l^2&p;N7WpE=3tMW)v!`#sBHN}W(RkHTX#c5H<$-%Lw-Zp9*(qsKvc!KH)Mg#n-@d0E96{vDL~pdEe8wf+j_qt7^It6zDrmph;`z})d7 zcDrMXMI)3WBqKiJJt7WE`xo}qzC7`#aPa1Mi4ntkFIrzVly+tmQwvQ_n&*vHm{vrxDG1YU$Eio-G4^rU1b<^W@wRSY!e!( z&k-KNU_a?0@o@RP&LNfj=R6l;)@emJW5Xv%?H-kE$YMmcX32}s+o9X6jy`Ie*^ipe zK^zSNORH7amP(gn_}YYOek~6498}mZ^!}i=t|d7pLM1cF95VwIAIg*5qi$Fs!oe=wm zrSKP^wYK?Z3JQ4H+J1Evk~&!(*VqV9&*=$-a-zw6UwP2@@FHYBF|QoOROu8qzP%bd za=2M!K}es#_u{9DZJ$xpMYHlZPY?HZ0NE;FJYZgQ-O;{vvOgt)#}9K1`SS7D2{1_b znzLJLLQNHccD6l|6p3}Qb>8Adgkvq!3FI~;i#(Tdl|;?WoKiu*E`f~@b)-%xzON#c zxEE*J#+#{GU}L@b{e$-aysX5Wtg!bnUerDkqimB~@sT{i!X6*Dzp=roB?8eD#6}vi z6wv-a`+r*k=VeHK+8TuA=7RantIv8fY396793jv!p7GvXj^x$dPwM)qPT==lfb#9e zfLVUXdkMFaoiRTKxcW;`H&m6|wkk*>z*u}FADo#vJnFsSa}w#7pV9bCY+~6!F8qaq zl|ugkA}sZD;O91fB047Jot;Fm)$S>hjqi=2)FT`gbL6rS6idqSiONkwqqwdhCSBQV zzWaLFv$NEvK(W@Uoe?L1`%N58#IVWpGtG>N3FB!S^_HKbzU1R@TizhCqW^LQLj_87 zQeO?_?Dbn`MIFAv$dk| zA|BbKB3oT^d`L!!j;Go+qnFV)jU+tra7Qhy#*d*2f3&_GA;A784tsfYjZus#0{86W zqrg3WV8MQlCCP31G82 zjz}iDvwtA@Gtv)AW8)ca0*FEzVy+u%b0Ui2Gxp$G3>H(gOyj2|~{NiE~v>YX^++E@|vH^L2@{ zATNL1OAS8p<%{PB9PSl4SAF4)RK;-cCc`oxm1QTu+w`usslH!x;zK_7az!GE1kR3C zOnnbnfFsJ95gN72q)hqn%nGeUHKIlFvj64e6Ot zh!{256@{kE!pEuLE`Fts@L07kr{*W&%5`r1LO|7p_UGUYcVSyzE9jIrPpXkj%K`Mx zdiCF$tgCnaQHrj%NI-<{D6BHH)YQ1>#0o1Dc%E7Yjk)HK!e_t+`G+C66k3`QI_6DM zePWkdeU_UU>AnFu1h39Az69j^k2`**G+ZiW=*xo8uG*%URR5D-NU(Jz9=57BS={*R zem^J^bM1`0!@GRK!X#0H$qb`JG~<~LihhyIht8cvR9{(aAw&%q?=$a7mT+mQfWUj1 zC|6Hmv2_*WWIek}|YU4_)S9J7J%&`zJ; zLrTBQIA2zc7yjqw0 z>JjgWZ!KS}@m{%%pww1jFtf;A0cvBNMz^t#Id&)k&SSfsj*oyR@avnL_v339Tb}`1 z!=M2M9Dt5z$B^mB2Dtx7@rGZcx5&WP=j-C2m%fIv`@x!kg!+n;K=HoF-6gC^ zIoQFreiy%Kw^=<(V=B2Bi%!ORkH-{Db2$b-Q8!xplnPVT{zaevD}72B%VH6fI=*|L zd5;hwGb?}Y)HF$@$jZ#aFuco;kJ{ozJ>s8md6zhE%xy>kJv-4+rtBsfpH#t{pb7(JHbyKw>etR@ob3Y}hUK+r2t?eH24O&ezLz zZh-Ylz?m^`d}vW1$?)g~p2(DXgat7b|7p;q#f3sG)#Ix%Nb)^^jJ;BLwU(^X-}KAH zD$_*gxz9(Y$S+6-D3&d=ye~@E9*pBfPzOw5yg-xpa)9E3`mW#-ks4EU=k|tOkIvS^ z!J3<^yKvhcKoBtO{hGBU6})opHUC7RsK6~{+%tVDSpV+u9#j#2tC7C}t5L5i6aU0$ z5AmT{9@TR88@?H>e|oh!V(Lvw_fCTlT4?rdN=7Y1-4l7!W87W_ z|J{MkyFEcU-y-vYO;7v9{sY1ENh#7u5&MPh%EN;_!#a+PdtEBD=5~?{!6av&Nz7O^ zMk*x27aiwF8wQ}S!ATWVW^eUc8Lzsoopj{_kTIc(;AKpQB`YlDfUtKE_>Bj-G|+C! zGoO1;{}+a=!4=+D5IKfet?T%Rbyq2-6L^FB+{`W!Ipo00 zoA=K$r)esVdGr3oDgP@ih6TKbxCSw>x%0H*x=;&}pQOb!e6!peyx4azM!6C?Zdp}C z3V~kr+U*<@R%rX9@iZM`rEm0A7`$g@+b~Z%ka(Wq0b2I_2|;@o`}BV5BO&l1c@8d> z@K@`Z$Miahm)r8C$IMF^Hl9cVR~}4hQt|@&-JbaAFD~`5t7PpwS9M)K3UAdvZ1s5` z6?11=k<5dp=vV<%`>#yQ%fpOK)u9p*vz>yh0V(^`{v=PeT60a>G33`yU*@tb##n*` zTqono1_kaE<`V^a=CEAET@-2%5`)6tLhkN-C8>zkPp zMJ6>Esq*vPnMD>oSwkI*fH~ZWcNl&SgoalicYogn!nszk@M30BGRw;6y1kOERcKbs zbJxOd_G4AuI^T|di@*9FN+HJ5W&wsfyI{C;iSqO=swg1QacmnG0(b>%YF%n@=-mgG z@exK=yiYC!^^RKN6*tali%_y$#`%)X1>aFNPRkvLF4cw0L?C60#H|bZ%=Sj2=NZZ# zMaZxmtKR?Jg8AIT4PXA)6IF_*f zR6g9nRNBl9rK%(~hB21)R!UH@5fII29p{X|kLJX~khvNR`Any_xoSpQ6OHImyFyI^ zWcjGNC2Rwi-rE!6h()n1L;GJ9y#Oh)t4jQ+!W2Y#ozw`Wp%tD8=4$~2BGrA$RM3*$ zL5GUSVu@4WG5rDscae}zB*XD=XGSKtBMGRrTEAM3(683ZcUHU%x&ZHuCBK|?++hW* z%`?(s^0>ErygKvNGCQOW-7<)Akl29?hUK-gG{l54^=g!hA%Oww zzrus#DuCkFDSOjm-3MUFM3dP#Q&Tee9OLqRPZCOk;xvtTY9XspKQ$e@NPp!Rl!!AnPjzECYq{!f%puJY($xwSXfFkZ9JY<9eSKCAQ{L$fI$mmQ2U zwTdXS$x>CYoWjlr!~I=CUpz6(Yh)b&n`!#UJfmi5*N!VKRAyl1XpND@I-5mZkql1hIfAsFL_hQOEb2BTT0*1yoHMBkzjA|$8fu&G24Vlj}Rd|tDgJvtYqc*m$6ZG9a zMbKTZz#qYVWJ7_`jzeujA~838vz91zstvE$GZ)cXh`g|vq2K!1**f^^8^!p|aq_v$ zXL^lHf5jlnwZ+^9`W@;Xc^dPtZyZC|B4JlevTz>oOS*NX-}exm&&ZcH>qzG{tk0P1 zFW_j4lJIm}4Ob6Pt?fj$f80zt{-8|z*?2y1KFJ?nuoDXVV~MV9_>zeYUaZ?gW{mc3 zLL6ZgH)PeX<0tD~)4T$ydp0v-Ilt7eW3$&c)j;n$L6|?!P-v^gI=I(##Q`5L@5N$Y z-LJWU8Zmx{FOKo>e`gMsYpscrBlxsJ-%*?zSa|BKD^<(ZUE(!eZxs|g0t)9^Q)%|D z_URyWt%1=c9aXK72-?kq?KRX=5Ew(DCKLwc)Cc3hVaHtCnhNg)l9DK+y8R02s!RCm z8A{XVQ~AeSIZ%V#N8%bib196wPcAoGdHGpyQHN{5f6U52J+3>ph#A?TF>r#$5UCc{ zmbfHvvtgyVsmZEgsfujtx}^Qkg{WvSU@vxC-(H>|J=V- zd(9$LeWCX|>DAA+8Ciq~VW%37eHob?9=!TlL-!|-{I8@}#Ow}+Eb;lfEyD3HRm_%H z_#2P$;!lXJ__)=M)U$jI1B%k`%yThmgaZRzuo&+!A_#XQXF7X}7L3?Y<C(2YqcE-^5Uh=-0uw4K zKIdQ0_<%-bwa6M9a7QHiAM5N~c`!~yE#d|auwsZSbGkHV3MHu(=hr81SN8WFeFo#N zo2!E$G}0bb?d`lqb}{w`{gOX_dI9uthBrNluCdg#L9G!O5*`aL@T&YX}Vl0YQu<8Rc3fYPR?u^O>eOWpPZt*owgKq)D6oFxlNQ1OL1 zn#xy30@K#>!43XAXFh+6c5;v(Q&6=%Ljqp8&E#j_XIZ*dStB2#7$d;jkRYj4CL7mO zAoIrmt)VueOrcAyZzb;Y!?cpTf^JQP2pRS+$YDOv`_m$1r_=E?%?pq%ZKBI&g+umQ zo#4N%O#o47siSU06Os&LMso;(_3%XH_MI71<2nw4MD;%Nt2VIt~tvyaG;*>rQHfmo;-CS>w+?gcHM?$rVZwwYp z&7j_XcwVZMap8qwK@I=q-&(C-_-56-?}=nzg3IW)ZlD|5vjyw2fq7S63FPcxq6K|E z?x2%DlAnMURLRo<#q*f^QgsQqZmCW=9f=|591KbpM)~ayN-}fM)M6 z+6{frFqt6AfVHOyPW6!vKfgnc?_+qrW)>nwxAgHu1mi3l%c$MzYRJV#O46LZfg1Ug zOTN9TOlc&CYp%bJ<84lyLwCMVM&$wiNg_R9!^Q0<;c^jM;NgwT!7H*O`JlEVR!?WKRg*6a!WR)z0haZ1>Nk0AOOPM8A` z$yze6!mtBua9z6XmXdLoJu?SwjaBQual@;*j+D2>V`I&ArnR57hXSSJXeSY&+O*JDR64-0{Kl!X#XDP>_o=p<*X;M=@>yh&Uu=FuHd)la zTc_F&l838dQ*Brq5(g_44z_ZeE6lPnwnentFL?8`nV@DHs=N9fSQu3igv%y?TQT7J>>}^otO{Z8Z{z7xAm+1gUCTp|k=jas+q3 zSLVzqH<+TJ9LZJ3Xpf#eJB9U?GSRw`$Ip!Orxl01IJ7BGFO`=I88J$5@kVW&egE@u zClLE;Aoh=UtV|n8phWA{5vMsPPEx&`mb{WU!QUuO6K?gv2~6W#z$(}@*RMx~F&5h3 z>IHQR50oSz>0{t31pda@4Hf9Oy?QDhilVx@7I^2T;LOO2 znCHk(slsb5-q-f&rpFg|{j5A+nJ$&8mnmuAc0(dfI3Gn;tu=Y zX9|@31c>zsY_7ZPzvXU_cF5x`SK_QB9sJAhtbYPF(~g-phW~lENA~ds;O3BnUOs3I zODODjgzs~xSq_4)MO2x1h-5jUpL*h`17zF#!^hYxs6wW*734bV=>1#Yc#V5ks<}Sb zn9d;6Gu{-h@6Zg5XbWs;ce)j1Ep1PWnsMqfD^2yM+^ucQW%`A{dU6)GQr#m|zh zG_c=g@k)EaDX`)0ijw$7*P8iTUAGNYfP7wwT+<9AzZX_b|LUo&Cssse`DVXg-xF6z z6qgPZJ#ydp4$I!|2ukD|hRITqdU_pS&ehzY!W;{@Cns6%y~3rdlf4jdh0Q{IxBG=P zC;RU`K>#6QP{qAuA+I@D{4;zDdwpfw>5tvJ5WX8bOq$@s5H~04Lu}VMGkJ5%6&t4c%_|4ZiIf2Hq?1#7npf86EuQ)oE0VGk-j)Mi113STdP~PBIOivHuR|_Pbou=_wyfl#RIhQ%_*ndOnvGcsaS-8-dFfr zPi?p3cX9)(xu291B|bfEPe|sJ18riqZ+XUHBbGSW7(q#8qnTa#Gr;;>zmrL8cW`bScwd~HPFh;8lIEQF9(<9nsd9^R9}~zsM8{EyS?`gy z@rIYGDc6dBB4?cDmHI#m4l7#M0v;2%Js5?|LP7q^zeM zbHOh3B|#dNlRTaImJUVY=f57-o0h8bb62j5t(FP>UZGYBwZ@g&VpWQJhSK`vgAI)s zfTr4MUwl7aFC_J#@dH(md&pyx}u1FIqiJzxiF!&vHCb>uzu5?V2 zX1I@H8yJbn=YxgPSTJTO!4q~EwD!|L33>*EP|a^boWX{y%9hMR2WA?@Fn&f@8@ z8sL15^0bC|HAbLX@K@)NFE~_>y#6+GsZZsu*hVaT?NmyBOLWt;yQTHV=!|sc?@+;2 zwa3b4jr>MeM(347HZy?0aXK~d)LmE_YD?uee%Kg2$~ZJf#^Z_kbOs)C>Zxc&d?LO_ z1nA~iHWay%jHGw{&Md7RPP)`bs^a*V2&8jf2jNE zBG`lT3CUP4ndh<=%LW6@X0zNn%4rm>V^oI?w&HyIdgoG->^YtVsZ(-fLXcmLjQ(IVvEr^CP~jv~CY zj7Rdq6wpyqqM*U+BTldyUt|Hk%(T`vl%bI??WEm=)SzqE44LvyU;X@0EQgHDvfzq`3;3X%YaE{FWo z9E>Qs-lsT(rF7N)o|WdC*Yv%R!mcW-F*=#LW8QxkZ`6MPpE&qYjs?D0 zL}K(Ed@|=}6BfaxE5|hJZ{tQj^D5FHZp&S@)`Q(f#YqE$huP+^izSsI=R2R$8@=B} zJTg3v4lQWN-F0&jrf(}BJT71?gT1>F&0JV(LQF*ra@qV_WeMIIUjjZq zarY-`-E+7UY|}jgx$OhJfF54X0Xj6MVfl9V=-11~j2e5@;yu(PEAj%zk-p(N=RML) zJpVgJwxoBo#A$u-I`l7&f6a>X8IwKA>-PmafxmaTZsCuv+o0j#jZDs(*hL_7A+u&` zU`}I=eRUTM3QD)eK*r2e@g0i=Ty`c$&1KGg6mt3I5s_hjGvJX>5gy0IBWCOwS2_kC z+h>=6a38Lkj5GWY!vBz}UR|8bhr?Qz*hh#)>auO#yuuj+YqQP-r zy@@4PuoXTO*Uua(lw4-ZPyiz29kye3Zk)s}p`7;!*+M6j4rLc0^s-)V2T+@}DG6+B zmabQ!Xg!UH+cdqd1o$|JHx}wv>_Pv&&!*J|#)T(rmERlY>|lvMx3e=3O*gP$2B4^m zKN#cg!0@FLuff6tnD&v#R7XndB`Gz*38e$?fg7I9G`9hV;eT#W_@Lhe>S;BOVTv)P z3U$rmB0#)tOeoItMfI^A%kEpH`+K9)({WY^91Ds%&kI=Z7!t*t@_w^1R1Fwox+YlU z&%CuSLZ8&s6_#go6Cv8`r;77F0)9b@C3EhM_7F zLv!a~dKhC*M>$}+7*leLs)oPzgkAin?h9SR>kN7rZ89rtgq zO!z5v4|(2Ou_Bd#jq+Cfg0IDNH*Qhe|I$_2uma;;nbdd>hQn`1V3sDWA%(LzhE`i8 zj9RM=-ODg07n8*zORR%pG+a7wZ4<1Z{^A3`E>m=nZj>e#Is_p5XKfv8-o`mGiRg*z zFfu&)i7g|U?>s5!fC=g@U9On-orj<%E@1T)w4j8XV)oPw8CY-{56$Wc^UQbChhaeh zy=6r++;tW{cgLJqaezmWZe~m0_7g$z1-5ga(@LD6@uCj)dpc_)cbK~BFcr|QIP?~d z&LtU;iscj|5lQ28lebY=349J^aL>EF7D#>7KH#t4h~)B9b>?6E~=xY0qz}R z+OK(qGVh{73}6S*W9)!2)=_NN$IOBU5hzU)_Sg{)n)8efmNCzev zQu4@9VQyN}%H7dJjZ*I|ePVkc4x~>^L==nnCK4-fQ+dJ43Caaig@o(b<9_kF!XBn6 z?QGTJQ}a~CISe~lq_ZBmbu}R`Qc-V)v>iIan!Q$vSc$@S5Mz>xneK!LC5;ZyP=C0Z z=-R>ZBJ%ndZ&5KYv3i!yv7>(L9F-(k^?Wm$JZA?Do1vfZ8b{~_(mlmA2#>k~HqWtb zGjcpwdy}?TQ1pLLTw;>^5a@W*Y#^9p|H@4iKI>xkW8Q(@ zWMbN@xAA$eUXbH;zv6-Ieo;3H`rUI!D82Vb3v+l<`il|R+m?5w!8VD_1>H1H2qkv5 zrfY-3$We6rc(FB(Im+Fzpg~?%>G)jKqgez?U1%-s>|$^9C5FG;Vs(>a2AwkM3oz52 z%94PGK#?Jr&yN&LL4@}Af*H$V{Tc>lns~Pe)wb40h5EtZLXLTy)DQKIm+_GDJUD0N zE`7MmZ=&o%aJNtl5hadq?SyC;Q#AEB5zkCGRVhM;J}&kxD5|&y6s=$d;8BSK%VtG0 z_m?-h=A@TIs%tKD>#1k9VL&{XDj%r}mIR1UNvPQXuUZ1i zWqyJ$4hjOCOQnrSh)`vr zEivJ_y116xE21x7356dUZT@Y{QmsB$H*lW1Rn*64a(tfsL?_Z;eATo>8l+yI3O+tq zD%_*4Ljn8zxNU=7N zvF){~<{{nao1Q=#bAp^P7OQJ5@F^fzw?ES=t)PhvM@vSg=@GL!N|^C_Ix&#VMgzYg z_0`n{L&BRTVA2B|hjc&uD7|`SY9VR7Omy(a4(pZ&etfk9pRyn0KK{59K>$cgEQ5^@ zH&vVLzH{M`{#@&5|bn<-KX?sbkr*m z6VmDDb-Bu#A8hQVF4Fo?m0JDaxR#UNk%&v5VjHr)ECF@%UJ(r~b#mfSrjpYQ2j9C& zy+iNxTiTvLVG6hxoAsO*{>I)fkvi7a=Nw>bm2v_ya^9`RLuK z!Hx~5VHiVwftMAw&e#{f=a`M?^;0P|=P)$`P!QYFiGTb<5ONFRI7L7Dad&GpilsC6 zC#Djo)5-xqT)hQno!?q8n+bfcK?>PgtstLXStS^ri=g06 zK^vIU|9LaqfisI=7<;+JFqEij*g+^PGFHMoGVXEn=>(HzcvumJqZVA4Q!bQ5g$cieH6FKpK3R zBuoaSVwr6MUxc*-0t^+boiNgtYQ%X(bzTa(0E8Q%^;4?miAqYJAT!$gD)0C&b6KaC zsPexhEt?i&o~15~hLx72Z#84eKZzhTh6TjfNb@|tJM0mk^L9rEE2%xGi4 z!c|G#qfbilbCd&Pm2$UNG>M5`E}E{;DelGKT30`piLZ(;y$wD$MCag1|D9wL5u(sSWo469X4x$(BRfj=9+!%Uq)51| zR3cj_dzEC%$lfxt_r9+C`BrKCK7GHRbME_```qW;pFjHJbLx7(#`E=@kLTmb7Pl|8 zHG<@}l`moH+@QI~tAohFkyu@wVz~Ronr@+nw?1e28Wi(sf2Lry%RbZQJd5bX4O~R1 zI7g(9JJmXWh_WM%tvihH(m*E}H^O3sa)UfK8c0p!H@Io^&+HUJVcftwKzQu-0C@-r zy)Si;sCFMUBxqZ;Z3E~;ovgg)#l2pnS@srvL5n!1LUysLC4zvYR$uwBY`YPIwr2vV zGTYbpX&#Gg^N<|ABy_jeq3csIKtEnT>eKO9{W1*9vHkD9T+L}LxrN)!c*Y*bg0QS^ z5Fp_v1XRv2#}MyA1blGd@OM{R!gwgEz{{6DcGfhSmBcL51ME8an<0_ zz=5zv*#)gUP=5*ZJ4&L0@RK+>`499HLv*Za5AREL^=Wx&7un=@>Xz*(HED6chMYK1 zv3j6__fcPz^Kf|G`!fU#LsQLPR)KZ6rrk6~rzlTbj7s#zGyf|Mei!I8(AbKneR5CW z82F~LHoM2k_lviQuB<(t3#fn8R~shwiBwmxYuB=u|AW2t0SdzPTgA7=d#ur;PwM0j z`-s?&9yGXsF;7Yv?qSkyFVB!PzH#d=lr-;2GGzs)c@HB1~ zZ#vBG*9~u|_yU)w>^aVAuM|CF`NIoKY#c-gl?x@Wb>-VD4-pE+lDFLe2?Zo9fE6Idqwqi6ZWBUBN zDukaDouI`{4$D{OWZBpMxfowRr27*;p}#4E>Yen5O~NgsT?e)AC!Nwy%GBf^B}?+= zPbibwJmKXP*yKmtS9ieUT?VzJ_E5(K8!M5dU8SWbnMDc8R_rzo4l@~Em}5&TC{sy# z)HP3wm$#5~xRhK>K&>ujg1fzgtaS){pGoVFoKw8HlZ;pLDkA&7_?Qh-l^pe2v%zE% zr%oAO&VIivTcto%@V>Mw0{SUZcNZ z*AG|Mw)S>)s}ml%bgdft&QY1}=*IS>;o{>?c;LN*2a%Nwi zR+5NQ&bVK(S^Mj_b%{5;YpWwMtMz_|Ti*oT>C`-u^URw~&*`Ra+Y$3}Un|R5+%qIo=71%1HFR{iT6|L zo4Yk=SF$f9%6p0B&PBPlRt|y{3h1$>N-e(qaAMYWU~g-T^%wOEN=CY}#$`GT6M;0# z+N5gC88f->EN@$V(bmo=Jml;Ak&z_H)WAk;SkpjAui4SY{JA!%6#*{^U)#g3qrkzW z`sy^s)>B5UA-tko=SI^ZD2q=OV=)`+7gH$ZXY6)Izo>depZx_AX?FfH27%RpjnCCE z3=>!?WHTXT)!jVKdbRSKi3*|v{pJ?w$bsY@&R(_MwZSG>Leg4urrunC)*_)_*6f=tRQSX2J4#M}@h zBtL2gQ*>X%s!(q0tJ3h{5HGxIv z1cyd?3CFYBVzY@sH-j4vUaeyYI;GtpQ}A*??*U|HRL+!jM{O>X(_VQOwE-=X|OI4gu{N!*Y>o>mln{uQF6Qvd+znfZbk5bxKf+iEPX=vt>jtff#LOR*?0bdx7rHg*l$o0S2&;97wBN8 zP1K(yIrB9sE$;wx@mn*G(hwvsldP4UxG_zE((Za!o}cI0IwTviv#ag|^yNIzEOHZO zN-gQdVjSnez|Z!ZBlJ0b7jO>~`N;z^j1wEq=dL#W<*xYvCnHuTs480yL5UqGGa%96 z-?!Lp^^OeN+vDu1c{!>Z%kx-&ROaCA!_3blDVZJa7);ai)0Zz*(3DeVe5j{+u5p`w z<9^16rFMm98KKgKT;~mO$o!t|lfhFgT4_J*f^nU6HRZ|dxkX}IFJ@ccGrlZ3{z=$% zN^Dw-H`KPLePp7^;6_h@b0y^11}l(0+xZSYZ}*4TecZWTC!9E(A2`$04+Y(I=(blc zo)ff8djr{AKegPJv77Ozy*zmbif1Wnq366O?S%-`Sh4&!Wy%ahuczj|#IDU%a|xy? zU2LmB8C=_0kMH&(eKZMeaJSQshEMk<2~r)e1l(jn+xjFheH@Vp&*ppFQ#{;vikE=j z>b&IRQob{0V_x%til-cpN7o1vqsBISIt+u3)JHzvm|9J$xt^GEfuYP`_k)%OB*I4F zLE$b>2 zyOn^Xt8ECHoW8`WIfH}-K~xqY$VJm!BGa-{+jRITKBv4dPZ-NFrS7#*w&3R|=d-Wt zSgs${`Fcgbbx~(LIN+_Ggz)5R?3{nb%=M($#vsyC>=4{UcXLNIA zxoBC8_sPq2@;Rm>ETQIv{>gnF5#>aolXK&ZdkX~S8OGV8E1Ah^qs2P0q=CZ2VMFj# zcm`W2ff@JHPCl-jkz}1{XM|9AJ&Aut(bTOFT-IzM%rq3*hWX8sveG_}j@m^ukty5r z(eQSu8SOUjduEQ4%4@5NOUo=xr$}{)V-w?@6l_>8%ue^VyrU@hUD5s))YV=itl@I9 z%X9UPnDnqahWuXDC->7Dg#koiuE%wnKcHXw>d?nW9ybQw-y6<0BVIp<1L){C`tL?8%l2E-ZRE)#p+{DqM!bl#VXR*<0ej6t-+7@G)W$Nv z3TBqO1{!PF8AEqMm60y2W#f5MxhMtqKd(5pRK(}R1UdmSB|wTG%3zW5U@u? ze>%)od(V376{O2EGOq9HC+FL+y}37fvpOwB8bU}JDk#nRrFIn`%b+yWz4v`&$?zlrw(>LQjSp1GOJri z!dB4A%33Y{;)wF)Lcz2wOMPyF3UeX_LqX1$WsH3`!;A;41f0)3q-jO4mEkH(h^y zqvtwfZi1QGbWnaB|8&R`d2n~(e6Jv+&3fYd>!r)|R;-_eEg5V3BN&K11~!#iIpkEK zOZ?(TlC%&!n6Ks5klxMu zr6)JB$KyI57GHN?Ljr}v7TE$&5=oA#$|6*mC*P@1s~Xfp{WOiaq}%h>xGl9P?tjQRHA#B~!uTs9aok zKXc~l!mHNkpsvlYWG3t!2y3(GaGwSlf9f+Lef+?R%nPsXZpk3<7C%H$aFT?MEsZr* zVA*F{Jv?+kpS8K&3p1Hj|XJgCs%54>lUBRD~3#I#pHxzPB01<&uI}WT zjlec%wjMN9;fIk!g)0O8CZcTm*aN4%!n6}(nKfnRfggu&>p^A7DsG9K9rVVqB6Qyp z7e7N0^_uRLd-Bt47~E*vq!7lSDb=1mi=EJ)Qta3xMP zr5Rf0+A_9DDR1O48zT~|wj*`?y%#OE7h5hyFfG!%syyefxADyE_@X&dcj7e&N3>5Y z0i#n1d-Nx?NllnOEEtTMY~5vV<||~4M&WM&NWL5EQ_!R=QVYw4=dAEiR+&jCr4IMj zI|~^^yC>58Zl+$wqsI3OO&D5VxT8)5=a-!Y@uRI09`~Fr!26fe*gCfYX&jDM(SF1gb>i&s(gK+KR3>)H|}x($LmIV zSE0hetexb$h~H8p3N1m)bG!yo8${>vn|8&;O)hseVwDFdmE6Q`G&c-&KKEJ27Jq4H z3);h$_K=hzSKFq7?F;SIa|#JQxD<@GR>@DCG6Fu^LD(498ixQM55FI}z|qgO2p4p< zF@G6lvOqx2I1zJ45b{&=n_#l)%lEuPtX@6X?|sLEBN+z*{7a2AU+ug(Q&Os&M(ejM zbhl1@_e~BS-1RBo7L!CSOY0Y(!mL_HV7558LQ$+4RX8~n!D`Pij*dnNI#=ED*cj?P zV5obALmxGyw-7zrR+wzX+J*5%(`x7^21xwgHEL)Clzmi+?yZT+pS+H94JvQNk6W%Ng!G-Jgs7RgP6q{7NLCjBXg`}VyC@QyD@9W(#8OsQ!Bw2KLOy!QCTjO3edQ|QCWuc)oPcVU$pk5aNr?o~MoEa9S7YSxS zy`)`P<&^!%El(jscu?qaSmXqd(8n~lv_w@RPR;e7P7OztOQp3Es}%vJ6|0cyu_B1U zBylcA1z-N~z&ww3+?SUnyjAVH(rs!4#CPk0Yx;{uF{kjWHs`K{g^zc>O{-sjd{Nnq zdug_Ui504}Z<*FH%f*(u5s0r-bWAcD9_bLmWP1d+dbN0@*`J{5>T5-*uvZmKH`7mX zE`3S>syniH-cnGU&) zXK~YJE$X5iJ&AWIM5+-*khn(K159A0`dU&c&=PJkhXd4846|dVwjox^)Ua1uF{NbD z^rt4>i-zv7RxyVR?3!b}PWXmZ8b>g9QrbjBvBK1;)`FMl@5+>$LkF6GIHG;*Auqwg zAmX6-b$mP+$$nv5mOXKIU&~V&Cy-dVRV;C*msLq$V(VEnenw)P7=Dv+(^|Cghw1!j zaft^$vGZH5_xb>#{kEd>-Hc>p+q=Iot{k2!W(0+)z=|r1uMWMma3bCLrhgZsp5X@! zgjh=fj3$fFk5#PFQHH5>rN6o~r5n#iY*8&i-W;%x+aLycBWNv2x8+XpOL;KB1Tx*2m=w{55~SdM~PE1+Vr@IDDMDX zM+q!%9*h*I1!sDx6i3>(GLBvg4#B-gL(v#Y;7Xmdt(|~#69||^{>GUeTDb(o;)x=} z;zzH>2IeX!&6ZFaz?-Mlv3rDd?gE}MrA|htKAhsoc!^Cj|LO8%4E(>)fSM(W8$b8BSwn;(oMCWZ=UT{ zY0`0ISuRjE*rptowW!idTsX65xH-|k3@}^q%^J>1JC)5nyyjbBM(ldox2j} z&Ovsl4qU4_1Qof*Q&Xg-=kjaq;z}N}D7(gU7}M9_#Ryoex7T|Nztu1ALW*oko#Y}D zCyO^>z#Z>&@XPeTC!a5xK5bHrf9G`C3-7mMdx4+!@+A1lglsAObBYs|0sNn51P2Ah zsm7qVw7hI`^#*Veb0d)`l$Q2@#`KPv^&+C$sAoWpRS=^Q63W#gbLe#2prq*7e!D_B zy(FP{1DJgIlbSE%5ZNi;c|ya@c(Fx&S%OVF_m*th?CTo|9n1Y8OBXHfo+_No611Sj z`Nvb!Dm%>9*89w>dSwMukaf93ePSyreZ9(jFl*c7TBRGXsMRIg>5~T=^LtBtRf-h) zgw228F8KB7o!vaW5pU$zt8SlH))+t$FjDB3{L}4dmA$k4G&GCDR2CNw6Zt}&l{!vL zayck+wop!`beY9RZRjoRf2%)>#~veY_<jZg`f(nia(b(_jlVIX9lentK;!%#g=>bw7NcNf zQr8mA13-O%Ky(dsA6%LP7YO2Q+NGFbK#N($qfGlJ!!tlg3 znM*V51yssHrGoYvVzW>H;P1U+0Zuo?Ataby?$X!0HV1`_rI(Z7nda*`lN&k-@f33^ z=`#(vn-Ok%X{3+2y$5Oh1?-V}Ptsap-Y2#in1MAgDiWUL-A!K|y1aB6vIpin9cYi|9{Gg0kf_8;7>( zd4IOk!1bL#SKN1-WTV~y85zJ1%emok{MY69M6%3&AU>&icWd0stYN%klRRakm`)Akyd83gEAWbkql+T%-&?gi~0OE{L$?5xb#aW5bLkkq zxqKMD;ZJwfdwOjaofeN~;Xe)5MBn28J zyncVZ(0g~s9D;f1f>9LcaT@#(BV|*9LjbNUI9?~1r?;)e)yOY))Ru}k-$c20x1zPn z=U1%cz8k+ji zzt&P}-p6$Tjgm02Rnv7go)?Ey3(L1uOZrh47}1DE3x5WuvvSsV+plY9 z{pIzKW)$QvzTcfCtH@@E!xZz){8oG9 zFS%@GDEMIXjvRBL%c8ul%UIk?i@}P(Wr@H~&*j$FXLJFEW&~`uO3MSYt}l*Hd~;f} z7l5o{eVu(jQ|OMxiT0+nXwAvt-6tk_$>xwe-M3qOzo{JTY$*Tz4jpzbtLl#1`CMeB zrxN~cg=%Zvw(2Z$k=(~MEuyB6GJN%8V;}fLl$6TLBD|3mb5u~=KHOO;u1s8LM?d)V zS^SPuT{L=w?>#~;tC^kZx8&4$77me+`E|&H7FAmIjG7{dB#Wc<+t+t+VsybK)+OM_ zQOV8BOW*O4<*JpjmB#;7(yQe6TNW2#qsn)Z_G%i23_(Pul#1G*oOg$t8Qc=GObT=n z@Vc_mi8v(3d@4Q6=ELZcpci?kSWxM^YRdAe(7CGS0G0Z42uhe=zsze0On`i9?l5`? za;*YsuaMM@`e{zn*{@%}7HOtmy;aE)h?YQ!o2(U^1mZOG@pYPslE3h+eqU?=nQrJ>U1eTG@|b$xM)$mW_%x_trmd{Rc7Q=&Rx<&BO1BR=p*Ep9 z4(HYu$49v8-?!%MqOBM2a+|N+ta`PvW=@!$zDoS@3%f3We~aCqf}tqj+zjLG{N%2) zUk${uN^Dvz;5Jr_-cq1sp5Pn@~^f2YYcQw#YGfCS+Cv5Y=a-mLi zUU5sU!P+Xj*?ZtENQA1V)FuHM-K1tkqL$INjxgTY`>TXt?GRleoN6nf(~X^sF`gC2 zd=LEgIK}MVQH8PuD|fMKI=4{oM+I(5HPz>@+RYb+BrNnGdFVqhObpvOXS zU8737VO?(1m`0BV-j5TzCCf-IS%LdWCg3;oS7=|3JHqOEAkUV^$=h;_o2Xs?*Ohc# z_wk9qe&IrybqE+&?TuOGLakQQ^!mGU5RmSB2p%*3usi7W+Tn`_Ei;|2lQD{}WES-L zEJG&*|Esh#Z0LL@>HZq-PNBl#=5T^U&q_W-qSCl!PZf?Y7&201|K^Ix+gDV#vc&7! zX!FeacDp^tXRuy7Q`z1cJy5Z-P8%4!?Yi*P4GxF2+PCf&txXEYF1oXiCt zlMR8c(AMnh>evL*qUoDZq!;zB?g(8C^6zTcR0E1tA`#9M5)Hy zO(E2a%9cVFA8;?14bgAi<-uNi^mrCCxo^jBQpS90JTW*3gA3hw<+|=JEbeQ|bJ)P@ z^qJnZ)WynE`_rN$JywZ^vo#6%v$DA4A)m7?ZbZv2{lY$J#Tb_+0c}QK_h+l`*n1Jk zOK}y;n^?M`<+I>rI;;2>)DEO{0hbp_6lToDSj%Q}@;L&9YPZ|+x~&H5j@N2|n)J-#iKOJY=%jT{b(EvPW5c^Nek4hK#hUta zWC&T^^)RJKaVz?2+-IBp9&FpSf@ZZSk8&c6BZYq)-%SzhXWorBV!PXO%a<9gx_U7E z!x2*_dkR$ey|q3TAN%FG7{x-zAt%!P5ex?;(C$1EwK+ex;@U`q+<0XtJ7ZhhSPINd z5wiu9mDp;d0+)M9c=lUepy^FRbfP2lk4SX$J22(D1RnR|wqA$-&aLT#_(%M8 zyCG{9Fo5%^=vU=up5$S>ehDkGGKlNZmPN*E=d@5t%*Gjmq-HsaQ1R|>7DI39+KmVg z7bY?{S8RolKO~kC5w7^NjHa`v1>+&GwQ`A9tx0&|g=RdlSG}6l>`aKPRXxL0;X5%W zO#^YJEseLkt#fQr@=a#mGt%GOv`?ecX+tp<+0&m~`7AoEBA8ZsYuy8T3d@(3S0`sZ z)^A}Ku{GtH6wc8dw z#`lmwdi^&QMyaztT3(qre*fGD%R=3zH`P;7!?fz9MGX_N84(UmkBuhsdKWvv)T!R^7HTn!*D{@wAaH^PV3Wr{41X ztls%DSz68E$+7C}_fyif?bjc^wqtd%<$_u9uiA3!7cQU9bTVi@%J^l+4i@w|=`)wk zmEfjkq*oC#ek7bDh^=jm&(lO$A*QmUPu#XhK?f}u~TRy{& zJmA(}KM|`bnj!Q-q}IW_?-nU{OyJgC_}JO4MKvjT&!|1BCHr-Ok_f{(;_Lpf58rky z2|GS-XXDatCdc@3-;Yfan@mqR=G`Zd7Wh?Ix04vZNuc_k+JSqY!?ce@zj!M+JiiB# z%8{@sNaRJ;;$D7w6QT##KssI%7c6G8_}E_CWIt${TCaxz44XZh*pHHAzZ#Nb$SEP! zh;6&SrI=*+{8_`!C^J!;58{0O@r}qL$Y@5D;2!76fhG{HH0Y(q7D2*07y#a^B($7E z4o9egwW4Wgu~kn60-Z>2GBPr(&AM)s|10X8rJwNvnqb&Cxel3FPJ%-`G(nRTuYF}p z73NL1Y%a0iN=$nrwgz$WrI5>j2!{v}sigZRv(iV#g=>#D*WF9{F3h*mZ#Ri3yUv{U zj)bPUD+P6%GHM&Zm4s2((doXYeJOtsog}CSa7LBfzGSO)46S)z-d54#pYNIOsix?y z%jC1^Uv-?HGW-yhgK7>gy=Eee37(px%sIs${h;qn-0a%5gi7(@`$~e{3zs>C*pP@~ z?0@93eiH#xPm|gAN8^3qqzu2G)YZP|Y>3VWZVAj?cGbPNGL6EDyh=(+s$|>anpf5% z1aNPOfoDlb3-JujQoxUzBqHHkrJoOUNV z11N3%J4iB5pC;|e579oHzA`|j{8rfhMTX3eWEkNmfxq2{B`cplElW=C?&a=&Oukmd z_j~_1I$`&=sl}T)pY`#N0O6ShAS(V*P4z0nStxGh&$NSrN0&Z){}n6EUJku;lFUg#msSy!f=Oq7bOPP+ZFu2!^(Tbk_p^zoB$eMQjvqI?vjqHtwUQ}>4 zB>Qos@7V_z&`o=wc>HhH0Ag`+-{8WTSf{y2+8<&O`6aT)ro)Fo{@*Nt4wg_Vr5x;J z81Q`w1;^a-RSRCM$ko2#$J~MpNZbIDmSXf+=`a5Z8UBIL>>d1kNeYDLaem2{|E6bJ zcc9Cw1@li8svhH%i(&n~Fxu#8YCqok2$9X6F;r9@^@$rZj8NQo0VH$h;57z;&z7Bt za9LGrdD5d>j(a8S_}j@{-%&g8C6rOwHuCe}tpnemRKYa^Q$QK{(Ya4#5n+liM7uAw z8^N6P%1B{br)&3)wH)y}i}SZ%OnU!XIccv}Ov~8Ute}g;5mN^dKNd zThd-IpE-d8r+@xGoPK=Gd1cVQXl zWx=OUMy%q79RdBw2_(8Z(Yp7VXRF7*p{cu>D~ErgXe5V^9!= znhM4|YSLi`*r+_VOmu zwY0XP#9&AZ>iz-YxmUV{E{EQIMklhHS)nKSq6y^L_130$d(+>X>8f9Ag2ZR7o2(?2 z=+byAIZ9)X!tUiO94pJk*eGo<=#?w8gAwBKFjZLJ28yW6F&=BjQLYik3ezYKzS8eg3ACQU+BTKUm3iZ->v7i=dmOU^O?c^US97I}1f-}ok!@uw)*pyWopkou z8kfRFL$Z9ue^;hse6)-C+@vL{6T994u8$GqKq_Of8>X1gaXY8WWr%(=JP&{OJ58b_ zXLZ@NqjObaR|>L*4-795T2vd*kk@uo0h`De>vX~VgUVM=>|p>1vzY7BMnP;WPUt(6 zT3<oYRYhpeseRb+~QTWMdO4mg*M-t8OD>FkycOWNp&WQ`}>6F*9vq_ z1jF>=HlxP`-H>i_dN_xrzVW$bSUKL%dGK(;7=C@m?dqB8Vkm;K^s4T%oFPoRq03G) z^|tD^D+BOK47}gW53(C;WCk}#K@GZ$u-L`L#mX$RrWIy?JOpd_>(cK0v9zvHyNj7= z)&{HIO?SNqs?Zv-H&YrlDkQCAABZXF3C5!{osL**n)H}VX+RR^0*_VSY0;a9+1^;Y z)V|^+XTPmwIYSKH|M^Z(SJ%pcL8if$J$NcJ0zlBK(DwEi+-S-iz}Q&L#u`}4p?5q5eviI$^Y*N*&DORB%=>UdJdn-AIr zYpVL`9G!-{Lux-{Bx78aFA|pN$DIg2obJgW_;e=Q+Vhr5-OTxz?v{U)e3* zGbZhbw)72et981{-RyQ}B*C$mJZ%CB6XGg$LTR^YowRP|etG%sNCb^>zef^YjN9C~ z*Y)D-R~?$M5gpIv0*wG0sbhq@3?cgJ^g5IsYo+{m^{ViLK>Gglgr58^kUOgHGwB`^ z$F;mjkLz@Q=ZB?ZS#Cx}85q z9k*lRHhAw3bi$kXtfP_EJ-f(fcB;&LFe#@5*Mo$fDcJKeU#QWS8qG|TRo6pE>ldTe zQ706q{BIsf$?q>(Kat13HAy{<3;b`gU?s*y$WQ z23jaOpMg2G%|ifWP(gSRgPl`|_@AjY-|y(x2QYWVMD8__F3ap4yiS0Drm<9}MzAu! zz0aq=9S6Vi*GwmSd;4B5n|f-_a$66Y*A0Fnwv_O@E%vTz1lX38id6_)lI!r1X}@0_nD`nQmi|DW7cqD#N22j#Q2KY#>^w+?v^l$|)@blR8j-+YqDY`gA!+^VqY zRl#}Rv;XGb?J+~3fLrxyYMvgmHy3fq3HK2FQ*6Mh`rG{pA5QsE(M{i({vK29?I!wE z+t>UbUE!V7KTtedX&c_g?Mq?1`nqWo7W?tvESAo!=Eq_!j2<@0DL;qf`B(q)P{{W2 zSPUT%_j8IpW#6l-zdeyZRw{J@0r74jbUI61z-x1v@ub)@7jnlnwWg#<#BMbGp+DuX zj&kJb-{f!PvHW%wG44g(7+$=N^J(9+;fnx9bE^wb{{Y02snXa%$?7;vWzGkKGt{oZ9{sylNr$KEAsIUcO<`I{6On>j3Ym z-#AqZ)|wa68|31_V!6i-{TfsKA*>I~wm{hkJS}Ihw$`;P!R*qbq>Mn;-TPV7G%C$9 zr~j@I3>4||k1N{-@VLK*nV-zim$@ObR9jAXsN=!5x>SC;6+!;US=cIH**-aDBc=G| zNS9epin5Du0U5;fdMaZ5EZ9ixjcbUICV$cvC@+spprA_+{K_jLUeB~deDnP((7le{KuAY_06`o%%iOug#5hdUw_^!4ncTsi6$+s$>d2_ zA5GCiUKEF&etK}fUq2It!q4m9*=6aoK4pcCLOz1`*N^xzZ|{K?N3G_4Rk)Uh4B;VZ zzMm25A8PaD6QdtG>;|6b`0o0GcbU_$ZQpA@qw_x`=_-3Ag3BO-UIW8Q0LhuY5o`tc zQnl9nxWk^Iyq;+ujtcYhOq7MQ6LnVS(RAn zyJJ#7*)P_9ko&_JZoKig`)2s-eV@%m)Ej*s6l#K?<>x5kNj1N^81beTfC80(L33Y{ zfGU<7P^_j%JLw6W6&>QcCrAu8zzxXv@0kp$gx?aXr!~8fjdH+X$s=@vHzVtvp}c;M zMI}1YZlaAF?5wIyw|#5)w2D+47~Bu3%3MM%AoOrUxPQH&$K_kQZU#!Bpcu?Te1Ik^ zK&jMtfc+7Qv9GdXK9BbERhWq}!p|HsfL;?si$kvWj~9WHnSksUeF~_kf+6d)uE4Jj zn1h(r_xGrRfwQ62&62)sJ+qY3R9L5czc<`x*kA9ngxwqwfxE!^7kwk^ldSk4l*n1Z zvvrz-L8+|k)5XQTZvd9Tx<#HpeuBCuV&m3%WhP;=0UShvS^g@)LMdCDrBM4c0XJYX zQ%b-JlXB1aXI#0N%S1TkBCQ^Rmd#{gRUT<3R}3n$FUjW&$W> z6bhy)K!huhS$H03gXc)njAp{T7@~9?zDjo@yB+=OZg*Y9pVp5@3ANC6td48~5(sS( zLg;~Zwm<^2qILmf30i;O(UGWVhqZ<=e@SbZbHNH)P(=$20ua`bT$t4u022wHAn??d zBI)@{@#7Kh9PpB)1OBEnaq&Zq4PqZH6U+2A+*{!q3AzjU$%y+5B5$lEQiy>jXy}n# z&2_f(V}+$q3|5ws*CT<|eKP!;yq3^SE@;KJjh3!QZT%W&PT$U$Y2a`loG#xF;qGgQ zGnt_uR>lUwQUbl$InMkEp7}ia%X4^rlWmPy{@H(!$VRv#1SFH9+7X3@7>>Chs{9tPx!YtEB79wj6HE_ zY@`tIHAmrTX*RVY;RQbFzJ`Ux0_XW4K(Dd@OcQD*jOT za`>F>d;p+77tF#8;LqiVq9QOlZav>hqM{QU2nh{5{WhPb6b=jI-S7OXW&%i<86g=1 zqum47S#e;37>WzkopT1fxq=zf3<@M1WG~U z^cNUYtpq@7Ml3%%m*Y)anV>U7ataUw(afXek!DxqkYxTU!~ioxu%b^97323GPl1?R zv|`iI|3V03Fk%aR)&Badpbw+5VPkbZ_#PE23$S6`tjWDB21*=GDPf@qKIC-`@2`RY zRXj3a=&K#c?=Vkd22K_u8z5TEPJ|*+SgYFMiC{A1!k+z%)&8)=N04eg0J`5AH9S4@ zO7FI&GC;Kd`%y|stX8T70g@Iy*#fw+Gw=<`y+0E`f0#XFhZIvONoi>+(GXzrswqLI z#9qY4?fFj|;=NA>g3kb3r<3$4~6}S08PNuq+Bkpt=EcTo<%t zF2Y%U-2IRe23Sqax7MfsE+V6ChJi|V$(e4x zQNQx|yEHh!~ZTZTag+f{l^UcrnNy!Y zDv>d1?a%*ECP%*|aP}ij9g@QRdXWvJLTSC}*tXH`{N+%~g4w&3tbu4C(P@OyOn4LL z5u^5Cw>?8q?)A0BmwSlM&$P!%5p1@+wJ)+^E$f}RcgeR=59<#@g&g~V&Q(!7b_^O= z6tr#UQ45T6h2CfNkQ?WmmLVTL89{ZQO5yf!yfd1hme z>Bh?JilZB933*+F6;Hq57oqCxi%)L-^xDluE^GX<`5|EaS)q(M>wPS8W*OFtPe8FB z^85Y%fOz6x^?C{H8KRo@Etk`buzPr319C8?7!*0nbI~zSf(rEX^uwnly1yCl1MlR> z3SC-p9g#0|0RP0SdhhYbTQiZb$6iK=*RWnZ^c4nkU<%-u<85|iWB?Hjlc2|jQ?SZe zpi8MciiH}s`^pd+kzM8f+X2pF&^w+qxkR%I|PJO;Ie42r@hqhDA( z5-4h5Lo9eP06rtwI;Rwv78j;e4X(C31{s z7MPl+@8Np9X%+0+>-_@jxN>t|#BRchz?GIG#~RR|t5h-C-Y*8BD3N*h?%m$ZSq)9Y z0Dcc~nAe^*QX66Vx+*{Y=~)DDLJyf)zX=hWQ-&<$q1PENk1zwxl)nXlYtTtq2rCRp&0V`pbb#py_uOS>84^?67s-?|Fx zkUA||ui5oP%wMfN2U1Dzz)28Jz*E<@T{f1I!d0tlE);n(1&;NEKM4L8b!1SuqJwiI z0h3!FSM~dvZWbWWVBJrR?94a7BEQ)YGa@cGiAgKy4fa`s(FgH@Ur&90m3zfyrgbhi z9}xM^p^$>Tg{#GWvR%w5xiX-wI2nOla_S3?tguLq6}ANUP4}thWGmzrB(|3`tphFqsNc%5+wU9-@~l*01WXYeT<2v zdv(&BCurCm+5Ano-C`P&I_>i%p!EbDDM6*LwR&GUfCj zXL>W#r}Lzb4+L7VYO)8U0pm1_wm9Fw2`HA zulPaIlWQrf4-Q`ZmciOY%AfPugvrjg6O`fZ@7`y%K2+DODgKrr)qnSD)^(r2$>`rN zetvEW3MXFpDn58r#R>U-Q0RkKIL5-?sX^7VhvO1?}}NfbYZpr4lgnWeOM zv5xN=W#NzX1P%1mpjo((a=frmBeQ$LLRU)QklTn|(LRzyoQKK0(ioS335~ zB?H2C!^QmUi7pX09=!D1H-P@+!*9JPUD;o)v5ymiTMU=LEqQVCe>!iriNxoWjSoYQ z(&788UQ*MbmJS0z8bU?|1q{RUd0n2t5^YgDM#>g*=tu;L=^V1zU-0fDQN;lUK zLr?Z3??M9;J?|4$lL1V)FAY-K#y+k(xnEkr^M>06v+Fc#U2?3}$sCA|ZcJzNPO9P^1sY7fd3EC8U?{!FpqYkAegGX3Lv^ zM=d{s=*HA$?#g#1E^6VeEU%FZWt=5uvWpLmWb2}KXUD30RHeuI z*r@(1cI;noPgl+?PX@BK-%k>;$5{7fe2NvY3>$&zp5Ts4#~zZ$z3j`mTG(sj1a2za zs|C86iY*&KR93vIsPfnzvNSTf@)F1h$lXA&)CgzW7IBNx}h^tXrkXh^Mv;- zS_gNCvU2j|jDysG1#`!1U;pt|fBi5ha`TP+f0fky8I8jj&b4i|<`}~hFK8X1_`Kvw zQCU8Weww`6;Y#2YVl4Vezy{(h?T3RAt zGVLONUl|>6WduY<9o{OAtB6igM~{w!OT2=q958Y>Qh_ExR`KNVmHy{aZljKJB7wU5 zD&X!UG`<6ph9ELi4eq!u_P34Q*+J{T_$?D00~8Crw&qQacBW}{RG|YUHhoTHs{YP- z`xuMg((t6XzTzfI9+E}#=PNCzu5$464H1&nYmP3?KgFW%hbef~|?a~9o}Te%V! zCu7LMHi-PN!hf^-Y%h?#>An{@+%f3eLpW9^4*W~|?IlPpip3-3Kd$emAqwyuU z(_II6nwq-R-=^}CRc}UD)k05tAaDz3eB8l(IS~4{%WzvB#vlF5Wq`48kMy0o5qm6dru})*jd#vfR}P<0y^@tBLBvq^|hLzYSHj9eruW$J9ngYVK)mU=hwO<8Nv(WC|aghnta}LMhWBQ5D<57fT(> zLh}T^)M%yoD5m6u!h~1y*T01>2nP(!+ojYU*!-S3lZ15ai^sx@NGn;m|ViD4ft!*29`%4Yp0diZWXPUhqBr! z6+4E88rcfU_fkv__WMw8`fp%~%z{PibSYgWo^4Q*x0 z?q*5Xa8l+cYx3BBvmilqWJ$KRCez+bd2;LfjCRx9OiV)=LjRhB(~m>PVY8kIyA?b7 zhq|YT-bM{K$P44{5q~@Pto$dry@p!op~1!mW#M}xF?Q2mtcJJ=zc19!$Y#ULiY$F8 z{k3rF;nS3Na-68Idf}`!8yJMu(Z$yh*|hBokfD8E=P84_r?Q9&ZCbGe8hCX+;lko( zzocm!dw-Q_8z05`L1yG#DeHBg?besq=Td;1Tl=u;TkCVFz-O&<9$f%4lHcDnoi<^j z9iETmu#eqgLZ@HVvB}MH2{##o>ymHw;{(x`7GXbd>;)^z*{*$bF)$4b##l|uF@=xJTbkuO zg>p+B)~=cBmVbcSPw(en0?*ek3N!i2R$xcQt)^GspF~An)3)Jd&H?8-t<97)wA0?; zz!W$#pO6vg-!r;xoZ``|V4i7WrgF98B-o=z*S^3qeNUTDr|eAK^#4ntZB2Y|-p)+- zYWR1xa00V1a>z=ehVjIr?E24Zhw+)*dyWcuk7bg}BV=PRa~TakBXl z_F?LWw(HS{soQPPEBmTt{6fLun>DQyMCC4DEn_^_p24|;_XOdK#r$l+;hCw*_(o-c zeQ4kA0}WJ3Xob4r@oa_*-@IPtjcX;i&}w0ppebL8NLxeJ`c0#FHX<5l_I0PKFf{bB zy5xDi5!OLnXOvKSO6b0AYsi%NanO{>{PA<`LPY6$Mkud(Rbg3ss6OlC((tL<1L7j> z@26OKE`FGrUjCeUhd4RlsVZ$@m4w_WxfMsRsL04zKT+^(eAIrLfvHAr-3mgl0#y8G z=YeXHr1ko>wh5nm!FHZ`T&jmI?&YBj z)&7h(tWv-ha}g5!vHi}CYT^I75Q;3<hui}fX_C%v~peIcH2?|;AW zL=Af0oxS;UawfuQ5SXpPP&#v5VoAOVA?B4h+Rd#fOyoR)7*J7J%U6GM#rgJ zG2YL&);xNC0v+A`{DksYX9fGs6FIDLf(rE-FETe_gIwMgSEXTO7kah=ar*_i>KRYO zH>IHvbp&5-geeqd^Hu4b>4Jowkor9x*>(8Z+-nu}16{VRMT_QF^-8;JK@Wk+j3|}8 zYJAI@1B1w%DhVMN9}vH*VNVSt)<`Jg3x`*sSL0*j4544{ zTI_Oo+O?)^hb4>3*L`ty%&afTI;U;(%v`aZO~*dmY`7$7 zi40diFu0SpaEWt()*5W_&+=QrfxQb)7Wz0?EarAu-mU%F-jne1!i_D#8P(08$X@4N zn5ls?t*cU7Qat02;#R3P5qdV?VeLH2ZtYknQk4HiM-lT9U{ zeBl~>^#pZqDKRmQ)tLLL_oCwFyzH(f&AGJi-P4f!;#)WF8T(LL_D9d9*%`4O4QSs$ zK3tuzs#M5Z+%rtm>P+dj_2H?m_l$Od&L35OerER_1*zhrtK=%qroKz!Mh_OI6iZue zqob{|%AU*Yvb5O3ef`q$nP+Oa;4fXB6fL2z3LY_0>+jo zuCvf6nkX%_!6wEgbH}h+!8Rm7a?v|Yo&WYkNTsZWfvd~P67#o?aH)eoEr3A~@-J44 zZtvoL16;tRdh90~6ZG8+C4Jr^JO^J*UK20$%j$X3teL28^0FW$)#2m8?M2w#2a(^j}yzC#H3h z_SrfoX|hIsqKK#yKXB#(&q0}C=`$r~Z>`m(r?E&x3CGKbv;Yn&ZBxc>LD~y-h=ieS z8V6C*Q@G&#=wc)(PCeoCV#4+A3TH#zGr)jmx$vi-<831=My2NKFX#1`j^;dsUvbzq@;y(!EhQ+Umt`DeHwe^MGdkDMg3VN zc9~9KL|!9hXE#E6JTp*_B(3n7)bV+D+)_0uy;+D>_rP#+t+AC}-J50L>bc)`f+xJU zE_v6A5mjb>l|6}gs1+WT?w{uJTIg z41qKhT6lUAc?meHnFi}CkU`(d{ zIgTDb4_RKAsCpK_;mCa|=c}l?lFHa6whW@4kEpsZM{oxeXC5*Bwx6T(iJ!p3S(K2E zw2OGf20lHLbvQlqj)Ljwp&iNKj!O5AJOawEH~hoi?Z?tt)-E5~!;wqqAmmY?3?7qe zCos#n0Ia>=`5euxdc%W1b>n){wd5kng}wgCNQPdzui`lNZvk^TaT#}r%S!j!zhWlb zQ#@GoADZ-yzPy0$J((7kX-50ONhe&}R8mNR?^mIDn&i?AJ$l{D8@dnU0&)JKn|4(! z^)&1A94cpAM~a%`+Vl0UCaG?vXhqO}eo;YxupxL;Z}EoJ_2PB|;$%Oqmp+G*E7~Qv zpF@q$enXPD-~(f+m%c@mt6{g>dOy|38kfP&oKh}g)Kq|3t>Z}Sycj&ide>D&xf}26 z+PWr52~D^!aS8q5|3&DO;8|Je4-0Y+*?#DY5>qp5co3AxNK+5&wPx5urv1V4riK}g z>f_vgmS2tcz|bvKAUKCgi`+R3BH0K00O9mQ$Gy&KU*4+#s$wUz@!=(xc*Wf71sM;0EQat*4dR+2wS?e6`oOilh%J6#Y9Lbz( z86bx6vw4k6-yb3lhCizQFTx$lC^sGW%$Ir#FH_1wO@z}%cDft>9nyf&kE~!c zSvMPzk{2px+gbu5ZIbYIeiyeoEf~$X1Xfnl%C?*qWJ>w!@w9p8{pI`Mcil6T- zIY=m7*Exg|L&+Ar5P)zeXn*Rr>DJfM$11|n);Ypsz$7JskAL*Z^qU1lR~*-ozao;o ze{u1s4o6$CBA2~?W%1|-MaH|}3n2a_QK2Ydma_Gf&>-R5f`X9HdqGGr`cnYNJ{1`YS8~F7=LdKAiLyuAgqCWPMb|R z$!C~BQ6ViB@FGa_wC^RYynJL}pJMj7DTxtF1{;(-PuYT(@>ZC9!a4YOe%cQ!mI4AD z99BSJ0M}BJa=wt6cIRDOyD1v99FA5_^u3MPlLiy}QO;VymOE7j**S_h(we zo(zi9yYJ0GrE`bl27GV~1pkJLEw~L005$gt;?KMVkZUsvZ7xV7B&bD*4&v*IcRF0JL zOl#{u($XwLjOB9WmQMu=uOFKIs(o$I8pChV{P{jX`goW2@g=PX_f#>qFptTT&fjU+ zW3+Sh4~GDBSRj1gLP#U|ilF_tRbqSMuy56i^x0!c`(Nr7qg*m=WsyljggN&!Z!+HS zFGpIo!8;~QRF-}7t;e$JlZ*!T8e6uLknw91QhtB-Re5gK#R=Q(jR3URp3oK_jr(}- z%vYO6fL68!v12k|lg9n}aGtisQ~4jVI}sIk;zi&azGWB0S`PT#4T(?UZoSW9mR9!d zOF&KCPSa{392=SVM?veH!7-T8O~?$F+U+mCqoI4j&_?}OGw-^Tce(X=)$VGdxa;r( zNe0Nzntt;(T7znz_~Up%)KlWu*jw+3*Y2#=e4lU3wP<6^WyPF>Tn*0+WfD0u2WW2Q zIdic4mK-z)0Kfa*(Y}B3Y!19AE!214>Shz)G z$oG-vO~$xmw>*0+z;B>*7&^#|YGrB8cqIuZpuzAH$hIna_(SFhQD(UKX;O^p(dWq%26R;W) zTixUDYon0lD`+&@M;y5|-z&@i_|mt_DbGT?vpO}tJOAPLt;{gKkZ;0!A@^TnW*EFO zzBZCFrT~Ed6jlKIZ~kj63ALALJzBo5I$1$g+YRq7@9Gec_L6c{SGx4n`p4G&6s44a z3k3hUQxJ5)-yzWDwXl1*7xe!}PywKJqYyd}PQBG5POYP936YjBcR^ zfTCMppJuUY2xDF>O;=4?DGda8e9q=(hje@hFYae{QM)+qIIH4dqos{j`rzdrdDWhx zhD8))`812iE!QPenlawR#k`t!g!JxAzlV78eo;S+n%tL zC~9tIRx0Dg;+EZwD?64-dkAS7f!h{uNdsl!S31GF#NO9#JM!-rm}Kc&BPh&ZZ1K1zeF|GHropM#8ZvokO+ z>k!Wgm!L%nEo9mbMaAc&SHxQc+6fEqFRiO?E@q3gZ7h$(;9M7D@NOf+H^(gVdL2X9 z5ak;#MNV_qoSLf$=?IhSZV1fbtn#DP3}plE1u3;uc;TIdYS z>me29p?R=ZI6(ZB`iwO{LKsx%H`~OxAU~tQ&Z+NSzE^9E+DY}CjWuYqFPdnL60#Yr zwZ+SZFKvskN>8_=eZmiPh#vLyBZ!jMiv5x1)36&vWPTkkHTrjvoO-gZsP4!>37ct_lS&Ob0 zTS$h;gJ@$^>@Y(>gi_xjA>RJQezT$<13jf|QSEji@gkX>?xisq)KgUZ40KN{v6B0A zjK6JPzDDa)EoONVvKxWB&g;K(6vEKj8;%h?-ajG%WyuJeI!1YLmGGUv@L1c3O@Fdl z)*lwgB4Izwg^*D4YY71uY3$qWk^7a0L#M+loM-(lS>v;?JL@C-D`H#Ybv{jUASA3R=AklRnx>cvVwHy%VV_#SaQNc*I1cPZ+4>je;uLX|aySn%obQZu=c5 z8lBf^?37f;>#!+GASxZVt45O_Lq)1YvwfG%(_@5lS_(;Vf{1w{TV#deDdyGTKbgHs zw8SkIc?Z&3C6N=enPyQ83fZblBQ2$Ru4874y_t4*- zm5oHH4zCp)+73QfCKrz=4%@XFeV;J!mF%=~LoV)umy4rooUrxG%4Mt%#kpnoTJJ7R zGYMzdt4ObZOz4nthL_m47L`?qHB}>83M~jL@f|H7y{ocrUzGed@ipR-Jje}E4!kyO!8%Z`F5^62n-Vo2 z_#ulimV7b!eJXE2kbfhSebr<{L!Y)mo8-=~x4e@*-ms((=x7Lho$JCi?H8Gaax9)d z?6^K}ao*^i(0{HN&Mav45nBcdO7UGOa`8IGK7BWxe%{Vi3bEQ9_)1-FQWubB-IK!C2sJ%%QZ8URL&b{a;kq#JF+$6NM5wUqI^al}TB{qNU|@YwV(9@W6U|n`Vj$Q79p?;#Vk;9w`Q$0`O|VKh7knVs$RCLd8tt58 zO1cP{(Ic9ciwCIswde~9N!XPIdD`xv2|=gxgcscm+R*Tk0WI3BX158?bJ36RyWK{F zpW|M*LK&~+h@3gPU;R1y<#*kBf8HkK#<#oDBwbl__>{geHF#&+v9ZsWy-K`QQgZ2` zh={gb$D1oJN!d1{#aHx6sYLtwLwDE=@h0l$3c{e{I4Rc5$SL>Lb{e+hK~mM`d#{UZ zfjRoZ?u{EAU&vnzg|ruK+ocX2%3gkMMz_Kz2=Oi=d{ECw16yJOm0bCp^iuLzVK|v4 zfBaZIaCsK_YPE9uNl&#AT!-94mct?QY8=w_e8+^woEKbCN2`rSo-q(wsZ~*TNuTY# zqj9fgl=C4vy>iAN#QXkZZBUjdARJ)xWqsvQ2Wa(j#7`e*ZU3ZE09F_ZF2>`zUc!{*PZPhGYMoKg?E2M*agz8 zfnw*_wuUMcy(!v;)&3*#peiWXU#g>Z7xD=8jW+;mwnOcaf-x!zihR=asX1K2#<&cK zhpx&B6kMXxoJz%^Fj-e#+QCUvukee!(tT+7EMd*{u33LHAI_wen5Z1ZrLMUP4%N6c z`F1BmVvmSHT3@Qx_Rb$Vvyy=Uds$_>F?HnjsQU{&RZ}wxJ$u>W?zZ+v1>M1!CLPEL z6I zHfA|$p5t3y6B)kjzJ3F^6_c`1yV>HVY?3rNW!_ZP2!;&9Eb%{@2;?FO$PW9+E5C7E#itEf%hm zF;EIf5<|kYk@U#LAmold#0W`Cv9$jApXe39~{Cl@$WHLy=-|ru@tBB|75b@T!#oJ>}%Ll1=@xXC7b#ewp zlTQY&3}HKLYYw*+mwOI?-T~gG&65Y$=&%#>DuZEgK3T0~&I7QRK}mLE_d zK*&Hmyem^zQD=7LTzISH>08GjH0|T}E)8Qd1v?O3mIFj)!B4=`M&t|1!qK( zvH1{tZT0Eiz<};7!@4geIjJv3nmo3Da|a4b-|i}o_97&W%M$?1s6MNTT-)kALi6WP0U3c1k+2r=g$ zm*rxxdDX*g#ej%_A{MEg@CNj(G>lH3vTGiGTfdC?UhQ7C;IX*3v=jyu#e4aK`~#&X z{&}BuX%OXnv5*OGWl8_pipE^kK8=p#?cItm;N^6A4}eT>ju29I4?kbsd$r%EUO|)c z#C78n1U_FFAt$X`UbW^*61zJm%H?fe8Zo-&D0MIjOM(QhTFTS?@?EY7^%}Kc%3CDd z1;U|*V!s-L6{!6ZQa1Qq!jQ0a-#z*GzApJQPuBBtt z$MfJ?6rAe54@NN_0{18)8ag$xWzMaI=AdAHPCVABHc^qGv_GF4oo64J3zT+?fbb*C(}s~ z>^ngP<$p%V^xC=u*+W&iFgfz8-hJv}c=jbyxTv5A67kZrWC8Nv12ctdT zz@7b}(~)vlnLMv71)p7jT zp`Fl#YyCAH7xoGu>ouZX-?~A#IWz2B2KgS?Gh>qQ2QCpA-^T6bd1coI~wp5T+T*>c{*rWeQalaVfF1}cPy9J3D zJJrmpN|PU!=lQ*n#VcEExwuDZu03(=>|hfM5okLUO~PoVq030)f}{FDWh+4mRrPf0 z1)Y{R{u5X|lcjsl#_%lUliz_#{zfd3^u%eM| zcF+EPu_#S`&0!=$X4Y#Yk|rPZzSHt6IYVq%}TkeGtz{al31qap*Nc(yr1ibUyvq7g z7jL%UAiKb%+lUcAGkFgL@u~&Lu zyv_pV3xStP`%Ru$4HA_joO6hqSO>Jx$p{!U9mSz`C7bL8SXq^KM_CnpCy$ZU-iz@QG?j? zXm-%GTFH57jd4YylMJa%)Y8(J&Ov#n-lSrgv_!O zx;c(*Bzo2jq<22BWXn-_;d(wNH~U&dWLfZwyuvX4S^O?O^DH2H%<8MPL@&@kQ+QgU zP=b1;7E74I0C;6c9O;uaJ;%Q&(Cs{5GVj3{k&E1Olo`=4(3i(n3*Z}_J4Cw=R`&;r z8a2Z6i1*c1tEEUsERORmD_;GZwguMi(GKih=~%CSATa=5yCzQij{OwG^Aqkmz&wlp zMu?J~K%@w8yPQtXTax^cpCLdG{yP`V1+L|P!7dnx82&pK0Av3Iy8tlu&$<75VC>fW z?z4%fztjEUSM~g#AeveQhzzJ7f7bq6{25t*uKagyGy0$6{|31JJNGx}q+T*jA=r8? zm*`}9>-`{4_}T+5ZXBm^|2l|M;@X5qT0gK#OO=E_5BwX$qkNX47z)GRZ(A{hBWsO-yx;jKML1duh%FvU^vZ~5Di1#rwAj3 z{WoIw?WS`zYADfOMReQGc8HV9{Q*;UjawFi|3@~TvEW!`4k8!7^trd1E%g3ssGtzM zU(hZZZjEFu$5!mdz0MSG;j}<)S1t6LYdOnIoeug$HlF+~oGK7*^L#r%tUyK>lQFEW zN3%BOKC!H_ako~BZ%gmw9KdXVdhpJ2@KLdlo7FZ~;N)*adKvGv1_v^7GZqql9hoUX z@NqYc87|8<`;M&}h0EWoElRI`1@k0mlPB_}0OZ#pI+qPe?gok#G#Uf!?+pQq53xdU zZJQ+83x__WKAkp75=&@Lj32JKOQ9sk0Dc~iYZV|n_Tw=C@2fv#mO{v1`Q<+D*~qN1 zdS`S_W*=au@Ntjn3ji)l=skLJw-%{_=k>{*g<3uw_gaN+0;VahM&6I%pPx|@v)2{L z+jKa)FVd{+$8gnH$@@E-sj)JWvxM&kvEF-mSE6<97$sTK(U?~>?$U$_c*)*!93#$d9$7!p|ET)xq4pNoHMF%YK+~W;sD9Q^w&I7}^s^Y2v4MmM zUP1WO6`n(U{_Rer;XsK_leGpVtF+kC5ShE_J7qu{$0NLq(a4)a!p-S;NiVZ(*E}0z z(Gq#Tju8FD1-l)sqBOnm`|vKo{XxJ6jT2B=Stk6jIZhP8#5>#iN7yY>5)6xIX5p5h zvId*Pws^iV^xn;g0z_Hgi^hYQM7h?A`!O}XaW4@S+pWFuE=%q4OIG+* z3eH^er5dsCmeU4uz=%z6M&9aG*ht*tKf;|lW*2R$o$s@MkL{p(bQuKI(a0U@au7li z!1;&(a(4oSnLm1<-8Q1Gnv&-QV86;!lN5{@pE2DK>MS42;tLq97K=QH6WMd)fGypY znT{cbrHrexO^Y|=o75S8&wzEky(s>(PY3GTS}*TMk_0%g5Gc7k1QxPpVXz>@E4-;b zWp8U?nz+3<(1Dj*mRPI(!)T~v0Jccv5Mu=#dala(uOY3VC%|ePxyVzNliJ6sh_B$( z_;6F~p+W8|eRGi5RF91NkjKX6vRE0m67p(}a6}gMx8m3Vb;B=|n@aS2_3W{wCAcTm{0hSx#y{NrHTKpBO3D_t>;9R& z7k)9cLKW~jW)`{hg zuM1ab+7}}=j>(6M79=f+iaFfjUeTEIVhQIiyf^>#E{JzCJL(!G%vOag6Y0w`buLIX zF>5p$03GkZlUEGl=U8k0s=vqN<~&QD@KoO}P(W#=A%P;)?3+A37nZq%Yf%;IN&oP$ z4939z*PhgtJ}PO`jgzV${^A7o-FBR!svCZccyiq1ZEh|mz-51~*D`q^ZBZY694m+yfAvxsNb1=0xrR+$c)C;TezFn_LHyrJ)$m%pnw+e?K`?-SWiC1Z6t zCpBMWQ}ZtIFMG|@7}^s-Wox;#h3NzopbLh257#y3cNs-&thPtIDibyy99)`@#w18n zBOU2p;P!--?s_BhpNU=a{JD{PeH3`BUVkW%x? zzdP{`_0ckLYJdWRLTRLHNtVmv%tD|1c+@aF8cP+$7iIlkRuhOwk5ZAS!7mhC` zN#6h%mQbpm^x2&+(@mngJ05~D0giA38V69UenARb!lz?(#w8bDoWYaNJW~IcUEBdZ zQ62Yn__CW%)3Pjq&Cwk>7ZS*d8tgLyR}WfXVst?O;C5wtW}!lcFEWvFMcA5XK`Im> z*3zk2s7h~^!O-FLh}1%A2P3mBitp@i|MDpgc2|n#p|FL(T{Y ze5X7hJ}_L%ilc;BeXzxYFaW(+`GKS@vjC!hhyz;T)lm&Z?J4DAu}D#&CjA+lnn5z| ztWuIQS*Fn19FkYP*W9OdBHRDV_qh#dJpf`sW5rDGKDp-D4sa!i0T)?4XFjb6ahe=} z`)v58ER`l7W>yGl6{-?EEJRn(J(WHlAD*d^j-%`&ybfeTq5Qfvn< z6|@OOcibz8bI`^jNyEp# z5}cC!Fd}OlBC91;YWBHA0M2tY^{h>;@i*xXs!jN_)tXE#1%3b!dS7%xf;i$KRezOr zU(Zd#-#dEj+=5AypAN`uhh`GtBOz zpTq;`+q*lhYQ#4|6UP!EHvo#>UoK0MX!v^NWlgiwpcxkZxi2!SqM({P31t3WcJO&e zkMllK!_uJfvdjo}BD>Se&>XF07+yiY@gmmvf<7J(EQ$cA9%`0W6T}up^*y+~+nw8k z818x!Gt)=6DGQ&8V$GFu_*JWE^oII6M>6Fezaw;WnjE@q6p78^NvE zyI^0G(uXFMOPyXNl)8^tJ4Zhcq)7>wvia*C&xev^>Opp&^dyhxDiu$hbyjf;h9KS9 zagC0Ku;zDcBW6Bnzq!boH>aG7F@${vKaN@Q>7RAuAvtwUWZmvK(w0W)<^@piBlUB1H{G?WK@H{H6Er!_o6iNbx)z!50{2n9#psGn z1tEsGfhw7!Ke&sC-j=Vvq7BvFjEHRP^)^D6fog4A6KNL5{K@xN>Wfx}oL&+fkdT}Z zXiAe{S^gmC*ZXMXf&EI8e`N)5f+jBf)gRn#a`=MQM_c>`u8X&8paSL$)Td_ zV`Y%kL&&9AS?0K9FFS-S@&~RiV|2=%>jV3_TZql+?&5hT1kkXe zS%otq6RDMo2%i(V$HeP%NuDmHqvC0LDNryFRo+;Ry-3QnlG` z3q9V=uyn7xAksRHcurGTlVtx;Y&)qa;CY}-q&=Rb?e5Js6c^|XqK%4a&Pf#%9{_Hz z;bhT-6YdM$Z1Ioi9OsLg6KEkbfG<<7`2-q@JZ8L@V{plu?Pc3J?e1dG;pu3VXEZvk zXOrFuID%Lg-z@$mx&7Xe}4{b`U zeeUV!x8}v<+@j)@-Wqp(2vL*#ZFv>WqEm_VkD4|B6gG&K-X1g)n^iz)RRbI{2EYJ4 z7j}8EJQA#7_ijxJou*omhZk$w9K0EbD};1R&+zhppLrDx59L;x;I)iAXE- zJ0ky4|D(63E;t3*?CiYa_|k7i3BD6H?rWr#JMrkFxygBotLh;R)@*aHoEBurBVzza z8{_O~Vllg5)IS|*ezduDPT&7a$1|GTEB%ymGb@9juc)5o&yTlPV6Bs8eLcBm@D-Or zL$ao}XL+q&=07o$`!2M0MXNRYuDPq*}HC<^FFP;R%%5n*cn4kcT`3w2^YfdJ$@77C{Nky+M80Is^Eo!FbH*?@Aqp&XFqEk8Gs(l778l&O$S&? zu6BTq*iZh=&r9Euwkm~QGi1at0e;to=H_NpjEFsq_#NPLMCLvBi9+)hv45eA1&`zV z%{N`(No)TZ1u2@|-=pYk(7>6JSGCdXIav>=e|-{5HTy|`ZnEj*L7{Syh<%>34cOBM zS70{*yAD4++@ca|gw@W8{_cFjZ>qBoM%}?If*4($JoykjEwEHWmR{`7kx)H8s-rvM zS4Gs%gN?CDGm<-v|20GECb`od5LUa-a1HAwzh~|Qm3h7C#_(gFDm8$HBK;5DkGw!8 zEyTCrxAqj0eCwjsaB3HAWJBnVz`tfFqkOG<^Zz36xwB%a-g%)36_l{+ZRJZ(`_3HhGm|%9YZ^*mVODqxfB zqMkCHgJ=b-OaWf>v6UGWgyW%LI|Op|6yOa*WCI#*K>WTZhn|Ea|Lhd~1EO}lxBv{^ zV6=ol&b}3<2jp0p>GP0BCY=pnV_sP$falK->p~#G=R*Y`5dX(u@kgJ&IG%zeKluNP z|G&B|epMqspB3dh+=tpsZ{$1Ns2pyPc|0U89HnS$Z#jL9iRo@LJ;Q&_^C$K%VZva> zA0{UHnbtg2i9VBwEon!*odnLUmZGToBeSJ7Neq$xWc87t;Hhc4rgK(@D&N2 z5_c8wU4$OknR%oc0`ER2E&L28_anS-k%$?}<@m>I$yPDGWk`hnR>Wi72#eS zvWmVhUEg3VJYM2h6v~_;dS5#)?@GVOLtiXelO{Fb685MW=@1ZM%=Xv#rh39l)dEMg ztK^?)e-jfV4efTr{AdvD_eIZtO|D>yz^MJLUlMNDGjNr zC)~|rsSkO5KS+CbBNiF*0Lk!RVCO`?DcQ7(v?%BAyuZu0a`J_u8yRN_pTOMybMAg`}xi z*1EkAYZrU@n^*iq0e{D{!(>C5>^`ogxd(h_|M5=1P)+%2@P}v4SC20oV~iZdHKD3s zclghe=26${gT5j}W+G+Byma;t@orw`rR1NsUPONFiU3}|)@$kqalKe<#Sf&^1q~Lu zdOQv}?rT|!zmu{vXkbyQ(`su>;CkxVjlDfK>GQ^1|LO!&`Pctg#z(N5EcKzmgdfPb zRcxVy2`6bQ>tKOHh116g>!03xXJ5&}KrnR|`=gXF&iPu)DKWL8LEJ)=TioTv)qx&| zS8T&lV!qtLUM`35Bg-^HM99>*xi3>1{%d*r_zL$6{PSR^qBvmB z70$izj5~*YrB%kS&}}$uY%6%CnH(||u#nJNn&c(%r@uf$b!hmNk?5zJkyd%eX-Yv3-7B#huL`R;{^K`p@ioY8 z>d0?n3fJ}2?lImwkh_|9bJ@Dj5|A?MiY?PxJMd7RqGdW$w#wUV^(IsL80D0m7+k%& z6HCGWXz#s)n(Vr_QA801K~Z`Ul_J7+*iRyx^bbbNNTfrPBMU+MKL7Krq|J-YMA#RO!w?@gI8@$jP8}UlHBdtG4)I z_VheSytl5o5iIv?C+!DcTYH9}`;9Z_?qM&jvnIKYlZ{3>f2V$o{}^BK%Q&(}AtL7e z&Yi-VwX3stX5wU9-a7X?>DOMCOFwKS+_;I6 zFERkf!yR<>%d#TUZDu?jY|SPfmBVHnvyh&Rxn(kHI%P7@;ZlGc-jrrGnf-dO^1&g! z=+}9+w~N78AtJ|HXYHaNO5hRCZXk4bE##u7!-}QHM#<*&{ ziXUP>$9muTKWt#&^|bozy1T~nQpEIpjq;doSogmph-cOES0lLMLtT`u2w4KZlb|vt zf;VA{?XtDe)6H##9*GDRWc<~ATY?uCb_B(SYkr(KRN&XF`0|%u?uf5S#9~=t_fV6t z>}I(~1dw3u%0&d^jy^h1NaMm4xY}}wtC2jaB-LjJ@zGq`2lu}`~J1WqoEVP7fzOf2+r!JVl25zwaNy{uT|G{hqZ z@pUa%olS#8h;KV@PjKSGj{1rxtK!KGT4~Wq%VMB|hNPfwnObH?maO{dPaDEDA<6s#7mvPd4CL05-F2V};V?M7J zO7cepSf$wixK-2T-}YU==e@|~KA}Ovt=!wf?+uZ86Ay{JKvA4axN>g&rEaPKHbsDo z8P{Abr+ej2h+(bzJ&W^ywpU@_+Y_Ksz^r@th86Q^OKnrJp@c@V&k_`9AY0u4l4%|iuSWMl4vN;-l$LRd~4inJgAXjGc&SUiOeVzRCS!y}TSOG&{ zkqv2`=xLhb-D)e*jtq!AOjvG_bZ6-19lMQPQ!1^^$my^A_Rim&)JR2H$7kvPar6lz z_PS&5ekR;XN2)Mb4+IWHCtb};{yg;!R_a>Kii^R^=x16OZTxcDckh`L$S=16{v4@_ z#wz8o;cmX^7hYtDm~K{%6*z|vSR$G&5&6w6h|A@&Dp60^x_T)3F{Lk6DKwS&QPVa* z6EtAI((e1=-vwU(bDY)bbw4!tMbi)U>QC|aW#(__wEYoRQ=7^NkHQ&C1MttxMv&}n} z_w~-h&X_s=&$${T8zh;XbzB`b`!&4qlZG+OeNdoQt}r@d@KXTGU}sRzQ~O3#cmYj{(YLQ3@xQ>GD%kF(-Fm!5#Z5K`j&gbfIT93(#5{4|Qd2 zDRMCvUO6$N16N;jC_eo(Y!%8dC*#mH$wdKr8Q)8waT3c(2`c9I+M5r3f6pdb?rZqg z1M1mE6wuR9Izey5J?7YBN3UH3qrDcJotE{RBHmX%nC!vaf0b-41EvVG|3n)9qCEEtXt~KWYs72*> z9ZV1IBTyEsl}Kp+jhB6UE2v+hSTaX_lxj8RuTKE{mHi!13)A}>Y6JDcX3({9jR-WY zRNv{rLI_;_FU{z)>d9R?Dzz*BNst3t(Ns$?-v6T1fg!F5Q!yv~7YXm0g?li~vrBRR z$$JC0=_mkD%6~ECsQl`;S*Rkk{*x~UB%tzG>T9uwJZ&5YI%qR#q3eAp&|G@zQ4(y| ze|9%60e(mJsv55A{mt=3UKu9?Crdv`m!U!f4qepWq`?0em2Rq}?GNU}PwR_=;()={ z1ggw#vcr$!47NW^1AU-(!2uu`X)ezn}N@bksxG zvqWjYF_-{i7x1g~&w!JFmiBD-&pa6@1Adruy8kc1H6VORI(hC2N>i*755{0tzR=rz*=45+Xtl+FFvqX! zI&I~bLmm}CNh`5cUW;}>yh&J+e0z)6vrY0)dYB1%Q$9|20Y$Auq^$rYfr9bZ=d*;UX(6?Ix=tIkz;YGB2#zaP#e<1{l7iJY1tG+gWg z`&#Odiyts{Q0~J!iPX0}+Fa~o8-StL^Ug@j2$jwbd38H6llsy->YiMhV}dGzd@6$Lz6&Pw-p+N@fs z+(P*K`+pgfCswcd2dUWXV7ARPk&2!BhDfK(5-FE;)f-2&NI(2?ql_&8F?rYq2vXsj z?3nn^8l$J-Ta7MGM4{ZzJwjXTEsvlPRuOh10zz`5F2$esfb6P$WJjMW{L)&obG~C~ zSm*U3P3!X`fRDJ`G}97S440x)9yIrq0gKUB0jT+3WFs8t0@7P)J~ymQQ~S=R`E*3+ zs^@KM2Zn>*qZNjAO*AV2S^k25<+Yuj;_?MH5DfT^R0_3aaUUt&7Z(zO@DYsEJ_-pHae8o+FUACX;ug^s_6*iZ?FaO$^auUzX(*99(866 zWiA6U*bj9dVB9M%+n+GeKhE2iRBZVNW`(g?R1^WBV);k}jYRJ!zckmf;mmcD0dvpx zGMbf(;oLpWHGuG=;H(O$^=7UfM-Ih~_KVC|HV>eYwZq~q4|WE7C|rA|gGcS)7hu0c zC`PcHq@Iq#?t>FFE8s|&$lYt=a%&q&LI!py%&*f$XrFiXQR3_H$XJ1rzMU(cPTF8M znJwC9t~-WX=+P8U+e=}xR1fB;w|$YQ>on5%Y3;DWE_$fY8un)%CCz7S*}kAu&ZoBy zh_cp2jjSrBigUxG?-?}HtN`|Sw{s0xeO2evIC&~vVFSpN~g%0-LG&ZO5yjVExzbE+Yq*!WcueOryJXLt-x9tY=+rq(a zHaj1-1Md7EjJwUR5a-=dpRossnqpA?Xu#QpnkCZPNq*qWcj30M0Yf_M5?~gSE2%G$ zU)VrrLgBDajV%RhgYAfDt=SyO-ADz8L%AdcG=6@9mxND(gK?GWQ7c;76 zqn6)pN4P_d9@pYk{rN7G6F5k>%`sntVN~s;T$}$g=tLeT?@)veeIS6iW${8b8aVKDjoR=ZEA%Mlv#23 zuu#c15twtADSGfD!VyPumQ-x7EPpQ#CM!zB^Riv0e{<*JBKIVR;IqooUceR`t=I#^ zEvQ_os+J@-7TbL=Dd)0Di~QK}1s?w~S#bFj*IrC5omGfn^HlXnmpW6`x3ij$)NCsD z&d^*|TLG&zU>ZYNdeR|Q(7qhe;A!$(=SX1P5!y#=QxEs1-x3bBB4G*z?S7^2_rR*R z=YOegyW09lKkKFv`PZyW#cd;p$O7ti*NCn3F|pSH`%feb+-Dshs?$w^M#onv%H|76 zoq%-ZV@JGh&7Dtu*L_MPolESuZJV+5!F@2w;(tcz$Wmt>tB`8eN|OpY_ilU^$S4$^ zs7jztnvQ1D5mU!`3cL}#BzV7Z8`rB(CH1xKYc->qqXXVH@xd2w_2-27R3Hl*-U(D! zajy8;7a^RFLae{sn5IUVoe49O4YNvf58zWzH*xc)vx?YXF&*1^Rd&z7Gg!LZ{o&gb z+lbj|mI}l|%$%Dj?3eOC8`a8G!st%zLT1XH7$#;r{Y0--(sqVN)tmv^b*kqm*e7}hS2jo=xbgV^ ze4nv_*r9>vR@l6Oc)i%mh4gDV+7C%&g7z~|ztx$0w`?VWtFYDoN?7PshhnyU;vin> ze_mz>`3;_NiB;zt(BT^Tk9~6MI{l3&6q3#N@1y0V^;4t&tG{UjwdHCPpih5AKeI8p+epO*YGb66U3g0zKlUtCJC;{8f-rupz5^Wl!0#o&>KYLR9AymmeSvM0YGM5(A0r?-x6!Y8*{`)iw(aFF1zVl@V`tJoH}9^#DDmH|qZ*NEQEjAr*sQnu zx4HGas}eyRXs%{=t!0q9rB#qk)wp=NggZ9#(%vw_p5v*-J$Jh_Y1TUg9!Hn>rUA!O zZYt`dS77_QwkfXjA4%$*=aO5G6chy^3#x9cv%maUWPvOQXNe0OZ|_Cr4a?U2v3$;_ zF`1-D2s&8n;w~Pdb5H!EWOm`ikaWJY%BDZ(fzv)ETRH*#)pRxAj$+|B*1JoNbd1ur zDV5&uav=mwXxR`U@Bx>a zL;EokCa=UZ+O2yFf^Mp|;2h2H@I|tf;zd6<_7ULxHJ$TmN-bG;rNR_8w;^zG_1EtN#o?h`)s%w{_#bJ!JbSK_R8p zoI7$2?#Sn-`*dHdMI+k8Zb!00fMuR?HLUXIO<3*uFs~?G^UQ0WOk&FDnZ-?(DEZJx z^P1!t8qcK`2(M^5)1O0&L8v3G2KrcQHP%q%X~NLn+WYU9r|r1-YMDQQA>r~Xe29dw4V2J>>N}p@ zNw9rRtPY_Gg6&+1ZSTi9X)QnET=66BYi_WZ~%L#2K`gdeZ+mwEyw#|C=x;<9Yc#PF0vq z;?{FnF>Qjg2SLkNz6DR=BOOI5b{xh+3~jMZxv+H9%|flJkH1_KXGX^pNJnFJ9e2eM zYXn-mhG^LS1aB1Yn?A|LUSDWZvW=zYVO+$JquJ}L*m7ucL5X0FjSh~$Y z+FvnQm`1NJAEJ4h7Gh}Uz2F=<&Uj^tEHn@pJl&62XXNAkF}xb9s9c)WksCc$9K^yH8|a*wIQPMN9OK zDte|jB~gn|?zk)0BCf}>dl7+VODNDH@H+0QAasBaWP`1maASo&m#ZU*zWR^E<7ej2 z2P+`3{M(fCSG^2jEG9B7<>ifFn6REntE?^D9Q-mvR1E*NHc3I3LP=Q;kWHM|T0LrD z>6#Y{iIE!}5G|Qvb5tJMCBKmlj+@Dnmk9g%%6r15=FVi| zRUY47O?6(@*AO_>h@!bPo{#2L2`n?~ffJLppy38bV;T~LmBiUgrI4-oU-a#>_s$T< z%o%A&4DGY;_*=3J!XuYH$IWz7%$*V0^8B%aeKrJIgG!NRAU9s$d8%}3&{6`#*RNyw z!fPbF+kTFo_58eECMh_su)lm&Q*?Egh3!0L2hCes)V?h@7#H>FMdTtVtzxXfY@e1y8YIuo<9#veciL*5^x17OuT&w=N*|#34G~ z$z}Q#Q=`S!4;bwM{{)Jm5hX+T5g7yb8Y&#NxTDo|6d@REzVxel>p4VK=S_px_}r?O zV|D5bU$xaER5RP(w}06_Tb$BL0B%bivc28Nrm>te@a_H0fOIGc)v3(m77j9;WRHHi z+A(&h(+n2Ogn=d$qt0+Jp2W|y>QqhQd@1SNEGMqAU&_Sy@<7rfXW*K@4w5a46jUzw zq*6!;b9^d6qw^yPGr;M0y-k6ll_9!giqvstB-5$LwBT)~faA@-tx2)at;*?@di4Db zMQ3YT1s+kZ+9+YS{O&}0P=mbKy~D?~3!mi|-_)z_<~&Ty27a~b-;)ga^t?z1i9VnV zN>7+Ls9tP|?0t~Zn#$X@O0o`vU_bS@hs{2tw}KiNPe`_)&6H_T0Sr>pI!Z>F{dGgu zQ(zVdx9(iACkCsAd5te5rg`<^K8s5l|e6xkDLAdc)o<$04^vL zI%cY&7oKFpfT;p$W52$mjm#-bRmfk-uh%Wd0I5G$4Ea4TL3Zs!vv+Mw^7gM+J)3ra zt~kvz82Tlme$)Mx4fio+EVuu;lCHSJm1E65&a!^gqxk~pA3mD$=gQGNUe*9ii11%v zgr3IRGPyrjJ(EJNpZ;J2AEO0a-Tt|%HypVK7AgN7?<=L_Fdp5J39z33x(dxLdGD>c zM9JpijI0f)*P~qf#uhVFEa~xnn@jv)wyeiy{0w=_AGW!N^&^oonkR%*zKqjy=H{0? z&8~T{i>LRI`;8^6>Q!|s{TWty4x#XasuYw_$s@NavBCEm+6JID@TXPa(OTuO?qM{@J3wH8Rvqu|g04T78xyts6? zI7Pf|U){*kThDR4+-!x?#1s1Q@X4w!dyj4IA$+QB9I}HhgiNR4_lfZ8(sg6GZ?1Cb zi9rYSwL4)wHf}6LGk9r}(tKKR-}z>EdR1}J&?R~q#-V_$9vgMyq#M%)JyH=Nt3eGo7m2 zn5G8$jzRf3PqYwJ7DE~;s2yd$`sg-c{2V@>=Pmk4w?~H8aiR3R#&!e^8>-x+fsO1~ zy7%*|=ND|ZTnF@P$^NM5*7+KL8dzxl;hGpzVWAi-jf9fgZWC*r8_%w`F7`sU)SXeY ze(NK<1Ks&l`JT%ADMVXzc^u6OVlXwSW)5eml(Rl`t(lK(85flB@QAW74L+}n|8~yv zo|hw{x+2ebgC>;_nw?6Sq&TjQ_OmwCVx%2Svh44D5)PqRyN?s`*ahE#Cz^L|x&{9r z@h)+1;4;7T{>q}WW(?VoN=kGwpZCGrn&y~-15-jjcBAI#TCP&oBVv7bH{~%_ni7a> zR(QC(j#2%-zc(N5<`PKhImd;soStc-*V(IBH^ogtw|5Jag8~Y?6CCXyl@4_*LN_Ki zYDV_A+jO{8w>pxB$y+!bap&soA3?78(2a;?x9UK*MatTq1L6CMCH$aqKoLicN~4Z8 zg&&OCKkChjDCjhh3?}F-RjX}U;L@(A`^>5}+mou$mi>!TPiI?E=XyNbs3CI zJ0zmE!sUSREz+4NV`MWs2gFEQ=SbW9qq%P2 z|57#%mg%fkwZ11^M5$|w&B;-wd^&|@ac5@awU;ZGc5S}wg+BZ}SM)}|#eO%RIS@C$ zRWEs{990KF&+NKRoEj6YEr?Q5tyFTIWvSX0oL! zp?KJN^}%)uiMU0)8!S2ppFrEHa2?d{(ax8y2JKp09OAE>`c?4gKnLne?5l2dUgKIb zVH}6g50Dp~Ri9fOJR`QcZI<&t7KC0{p&0r`s zyTn`nM69ITr(?tZQ!o%eG z38a=WI_=X#N|s8|-Ob%zY@k)aCi(Lh7n^vNtn|2mZUqh5rWmf?#p1k*-Lo}}$4XMD z@Ak|qF{8_Iw1cjnYntc~{YGhHrZLpM>6P=}gKuWKg?aHu@upnX9jKfQ*zU`ISm=2} z5AWA}I^lf4VYo2+{JDujGB)%h2ib`;F{8-4&*IQhylEt8==2>NPZ!ly&9&@IPkXim zd8lf=(cE9}V#wQ&#Xn7JN+z1*7qzo;l?*5l+d5@x1J~`p!1cS3&J8v*Z*8!JMg`;# z7yJ)iI;z&o5H6{d_zAy*=oGQ<`TTn3Zoez-+-CXq8B08BB^A=(YXNUOzr)Z< zkII(<*wEPFD@50{(ZIuaWKl9CbW?egVi}xO)U&F&=^wSLDam=jh%>g&i@#IQ65O#L zFiW|)>l(3W8C;+EWwTJVf$}AAT9T5m4>uv!2$K~rwAXKks;qS%R#pA;niU3_yO{S# z_I}glgQaQI?JA5EZk*Tla;^K&@0y5BuR#kz3VgA*%5BtnT)~bvk>~SkcuWpvdmria z@$gK$N42&$d~))WyeqeDnoqg{=US(nPp;KoE1#UK9a=(6Ni~cyNmg+RA!iH?P|+xF zbk_U1xjyqcoe%N!H$QKcWx|rm)_$qkB92Bvqgim0)$-~4&u20b7=Y7)ShPGk;fcZ9 zHLtCxDXBPz+9y5r!;3*rDR<3?^^A=!#Wj4R3sc|uHOe{SFCSU4=vCa&>26`XS%e_Z zLWdSkxN?^=;uCEr!qXz}%30*f2(>Y?VkK$MY(Z~u6|m4*MGNVe`tG}AU4#rxM}xXs zZ<7t=YOsB@Pz(oDh?4)gckqOS5=}{(-|EF-H(22EI^UPhHisJ|insnsiZtaYOzNfU z&lpGLxF(F_QsNAzA!9l3*DHFfCnxv#Xtf*Fj&MBxXql1L?1;gCEVvT9ALsVSb>@0z z#;SinaNy!Vz#CfiDE5R|8oCBT%!rb3@{J?P^V|e3w)CJ!2|fal7T1}G6^p2d{L-CO zlVF=$Z!RS=^|)W#S<*l4Tw^3~KSus1!Gv)t=(}4xJ}{YPMH9XcOE8M?ORr|4>js6S z8B|6Bs*kh#N){<4)~Ka4U=qX!gQ+WX`RT;(iUKYagtyuF@F%y&bPqwI1-|r}Hsi ze|oFn$ePV9_xo?wC@+q-F*i+Ba(BH$g#HZF*jFVSu#Na)Yt^3-s8M^zj-O-?oP0;M zDDk6eQA6czUb7p=L>x7$Q`Rp@tr#nJz`I(d_o7(*?7?|MjkNFuqi+?rNsA3Q`)GGhI6fgrdLJ{6rk{MXP7qc`zPO!S zwNzqKruA_0lc3TmQox&MkwzMfN+(DsR_iIjBF^F#u9A!q-UBD~i-sJnlX7qADTgl% zq$=GCK&iLgmcYW4?<%G`Gt*5}P%#$hE2FNha0qITveYd-Vjg5r3bG#2ukw7>7;P|g zlD__vtbTTc>p1i76%eM0Sh($zZTGp{+zd6$sq`y)V)ROw2Qj`jtjw54BKqGXR&RSS zVXvsMs;L<>VhTJgPSLDnH}iJoLf1)JYPLz$->xn;6LCk3)h#%>ZE~*CT%iq(T)ek? z&tQ$SSLj)%!t#nsS_ORm>4g!B&@(^F;Ns=7iBE%T-(fS&5*aC>*lI?;CEP|WxxJUO zRkX_Zeqb0iifEvWi%@Ryu{o|ss=T$u!x3*=Ij&G=pZ3IIps9~E?J4+3aBH;Yu_OxQ z%-fOH_ zm zPPYTK;1SrPv>XvwN3bB1Yhw~O%um(AL9P9%vPF#9!>J z*4-;6ZWkQYix_GWngC86-?R_AtNu)oIjNtS+#vfr!bOkIxSbh+nfBxw5xgR|rlQWIP4#xc9x1x8VTH(~v>avZPJ zrgs9f!d$n!FJ?{k&i6s=^Ai(Nu?E72kw6G_MFE8>ZmDsdk50J*9x-@P-X|RYhN;UP zQZXK6fAf0F2}rBQ5$;Tz4HjnfRH<)JCi@ykBSGsX2IXc%)r_9aZO1f`81HaLxr9TS zbWJk@J^S9Koy?SrHTLUt=fz3fQO>inf9?g2fK6{T(R$sb3aZCGEDnzebHirQYi?c(SOnCnUrzM(oz|os0=&c zW~*DK1G96mneMjXlqG;kbLOEg;OFwSIY>eIbi#uB6nrMgkKPszkCe zR9_=r%vQg{gef7-pJq~VHm8F7=8|ps>Xth+=eX0gS?eyMel#&MYmiN1u-BE7yG85C zoq)0-l~ZQ)+-~P;nCTdA_=#S>g>!xgyY)X-E}5sd!FHYR-Jny-+a~qxJaVSC8G) zhcBqN;;QaK!;??op!1DQc<8OI#~_Z52zc@o{P&wrxIj}0-QgsUb=k{>ecAi35v-RcN}jnC%mJ|lwwdbIg!uaLOh#k zu6z57MHOS*3z)}kk!P3m;{3prfGpO2cT9ql37`DIEQFYTJLiUDK&~QSfHiL1Z{1mP zH=H`NK5lL-G)60{b$T|Z2?W|TVZo?S^m|u3dMmoy35^Q%xXDYp%>JphH;;S|@bn4u zt#POM1*VwU;qy8C@bl0gC5H*yPU|Ug6(5q{60N)9X=3|TtV}EEws3Ln_ZF?R-?>zC zbw`(Rkwz~k*O1PYJS?r|EJ=T1Ry#2QtfU`0dCALaUbH6|Tem@rDEDO!6A(a_JS0MGF?ycc4|vtmr5 z7El%+hjjzvoJ$|njCuI@X-x);A3M(+-ZH!M#Y&@_dNQ1L#7e?GO9T%aW>IQ z_NC5ZAdZO)8aqTSrb)*?-td_8h2VaRy zn+m&i-GI(Yy|%@}Jo~HsG&|#|@ZKbO<7-nmFOeJ3GaHT1J+)(gX?ybk<4xjbxQm zU8%UhioG04{~j?f6{eEPigS=DXs*>Y<`;XmZFV)e6DJ=@wwbE~tUU(6pK#0gJ3iN+ z^w2&Hi%B~gVSv;PM31@8#L~Ykw2&viq|Woj*@z8YKf>K1oI%Jcd`M?nG#N#2bx8|K zM`Zf#rJ=`|28D%$yoJ;;>8Ohda#r4BUXw$lW(>!|&hKph`|g zbhyK>tH{x^HPj%6U(+2%^w+=eUHl?d|MXEUpAzqGIxgD>93`*a-PHFxmYCfQ&>z2d z^j#sENm2H;mVI^dKXG8~%8y}nFJ;sHE0PWgjW6*ir;3o-u}@eqYkY3PIHniagN@@| z;9bC09zU-CsRjD}S^6+FYBKQdL?n4;Qk>@0o(fT)yU6x96Z-j>mTq%EZ@4~WH5r`y zC)F$b#DY}uX)5SRy0##ex?5XfGmoBd7>UlUA&naP+%L7YP0O@YP5tV#mK`bqi~8IT z`s7R{qFOuHrqVZGQcZ@!RL!_8!W{ScW>KrnZo53H^(uURIw)mSt%@3zq(7D3GG>XI zPR1*?A(LaNQQaQFTo&QEQBtDN)E_KjrY+Cm>1?&U6g`h4S}Sh*34xZ3QH7_Q$g`7L z9?TQe#yw_##Yo(){A=bgw*1b^Y@F=FyBg=(TEGWQh5ma;5VriWXnKX7ZtwF7;*L{;LJQ8XldrnJx9X3qkOzeB85`8pZ*m&UggLCK&1D* z?hSRZHO<4X285ePm}|WnyKZgF&2&Y;rQ+*V+7k1a(((&hLnO4ff8$ok=aFR4?_gZYU?VA#Aj=@6{KrzM$d zxn4Q#u7sIhj;)BhN!o8b<`)*QzM2vnH*7zdI=Qvc5<69H`!*r8dP;JiF|cE?K(S_B zIppY>HUW(9-1buVi$KFDT4Ifm(!Gv-4G+~YV$+iFrnSJk$~;St7bOLg&uG!YwT5T> zP~H|XNBIGyf`3uw{wxU}GdoQ_Re!+NrYKNG;@MvQUd4TTa-yznS17;HL17z3Y_|U( zKL_0k#%=gUG5MilSiJNbp zCXIZH~RL~3!J#>{HrAI>BKqa$xAsLzMsRRDwQe+OcRGMSHG zHSdEQBP-hZ>sRM@4?FBnAQcNrYB*kYKe(=X1~BN38#&&TiK?d))5GO`5b#%MR;+am z*S-4}QSJXG7!67n|N2nH5C3(GZqToE;+0#x)nBAFxQtj+9Df=D*|5wdoz%*!E&dAbr^$39R9o;vgc;)803&0mBbCJ}Y*_%G|*rWY_rWEV2 zliB}e{^`SZ0nG*4N>kS~o-<%trw`M1Epy-6`M+TGp2?K&3eQ;UUv@*UlaxTk&1mS5 zE2pP%S1WQ7o8~cny`$`El-S7#yuv&?`4=^PTaClm#oIYCFi@1)+Y=HN+an6H@eFRQ zHOeK(+BHf{Ow@a~Z?>1r&wVF;tl)cN@EXRae(GQuJnPN}g#ih>_7e);i2ei$9>k#( zalmx6g#11M>F+$#K{FE~PiTq`7HlD!*|9f?oOKyoYgZcVOrGCmgh3b}WtBVtp L?OXXbtU~@5-H4BJ literal 34540 zcmeFZXH?V6_ct083nGFTm8;aI2&iu5X=QbGtd zbb?YMARr~Q01=R4C;=e^2no-`^ZWnKdDgn?xi9X0b=N&FT*u7JclPYrvuDp|f3}f# z^>1+<;y(m|K)AGTYu$aRO&F?BRnS}GGbige5is{?_G`*y zxNykHKdn@mo6{?Q9S}N58}}oXIN)Q{1OgXJaa7zb)~F`Q_{2nC&)%F?nj$HvJj>^g z4-b1X1+nfUzmnMY?%!$KRsFppN7P8MRUP;35R{PErv(g-={KufG>t4^eFI`JUJF0q zj$>@7ZMPpU+|Lz$`EkK+!yZ=CH6U%U-C&Vfi1iD}sZR%l4_A%4qWl^c^B%2Tpx51(<)PFu3x08Md_Oel9 z_s%|6Z_%x-V}&P!!M{q=fWmO*w@uiyONiwPA~%PN%jnd{~X=Q@4D+IPfp61ht!xo@rYs0r(5sj3_W zQXV1&QW}mQ$QP|WZs^$ezYRSmkrm`U{9gO*O1zOiM-|bt?h&Pd*1dfCf^F!XU%ZB3 z^rM!DqorqH0^@1{JDaPM&pDtwR>vjR%vjPujGKG%B*&&>)jXjit3Lyd6AZ83noSEwn^ztR zq>_(!XQ~h}LXC_K;$+ibdz= z=yP)!EJ|528~2}n)%;ffYWuPu$D{Bgf{SCed|hdZRX*Y4cYnejb37tqJ(^{4I~Oe) z-A683gp57LJ9Z98jpb-XuQYS3eNAL+FJLBt?F$TIY}9tv`wcu!X}n`?&O2Au<|sII z3n)LY38XFizLAF8Dp!zC3x$NUpCUR&)c%I;|VsFxN-r{HjmK<3UCHWQIE-Ov?99kl3K249Fr z-`R7Rr6X8$mH{j|5-KtJV~I(p^qjM43<@y4caJxON-*&agmIKOXBKae;6ql-;`2!m zx9$?zOo-a{d@j}+7s7Bavo!virr0wm_AeQ~9=#=CH@6Z3oRrc`YCmcV+fC;Ejw-J0 zSoYI++j(z-eY0}Nx}4hf^3*gTYS};_i%<7o!kiRqf-ekmA$L~s?jxtY>g}NS&@GEa zl5B$|b9##71LA#@`n4FGGOC`V#1r+t6)QhBBAgh!Tr)T7@HJhj-;*^`N-t3=&RU~e z@wXE>`W4k>d*wb6m0mx- zyitl>O;BVzF@8_G>Lze==tY&MS-~44kJjgVFSk#4)-8R`3fXQSH0ptaGqV^Rsvy6e z8>`yEvcKS&pj?)2LoaS^-G5=&LovK1IKx~0s8hP?Yd7YV(bGlQ+aKopKHTwdVmlx@ z%af$VffdRPJWQ|HL;aSm;nN`$vS}CCV@n$)6Ht6d_~p+k%Z?b{7=Nd}*WwoKLh<30 zp@XdNn{omF_NZ2tGGv2X;>&x=I{^-rtW&b@=>N$h-Z-91`L=uSw?okmQGFqKla#&t z;kSp6+X?zVxZ;(8e8cIaEF^QJr{J#Ed>zWHd=|r`{nqeGe0==*-OcG(M*Sh!^TxUp z(&j-FB!(p=!~mRK>vRRT#4MBSsBeBlxwm3*TO=t~Qc5vod^Ru@D|4*-)?V#LgltM7xT0|B zKHW;nbdm&X0^8$=_4!h>BpEAa!5@{EoVpLI?W}01&D{{|_sgN&BpFtDjyIkL=SGN0 z`>oTnS^SJ`YF&vRWkR^ZZD=`9q!xGnO`J2SkP z)2jPhc%Y|?@>#AOa-CVgXVOqZCcr4ghyVf+Wo<)cp13Cg#iu5_OkILfl9S!1ZbQ-b zR90_@sRP%u<7-b8kS5@dER!{a0kzi#shT?EhR7{-`m;Z3^mx-yAU$c!Vaw!Gh`fx{T92`6(*&CI#4ZH=wxpK zoz|;AsYzKl1)WPB{-lZiPaguIwrIc-mXJK$(~=+_BCN@=Y6*2pofks=j(qYzAF8?M z10#&J*olj$_;i7#_XK9rMX33NU4{;Wh zaKfFU341C(iguFKc$ck^4Em?ca=0~?%yKQP4PLYFk{GPF?~?tkydT9i&$`!C#H@R6VI?b5O%W1r7-mKR7W>Z->96$w15Q!|YUVN6Q;=@ic#Yi<9`n)GLFUd0=SjEEXxOnQJV0hYM=6 zuh;SsnEn1ya>BM6#@&U-Dn0jtX~C)P{o-NC)t4e}+U4K!DU4(jA1%(`Z_p#cUz3Bp zl%S=i|5L&Fpgb6P=zUdW($oAQV?G#mn-k&htG9CBJqxAm>wU~j z+p=glw~ZmA{Irm6e+l=FwaJMy`8DzP`#w%gi>EMR$UEnZLS98;p5-$?zw?)!H!C17x&zn5Kc>VyN*hq@*&PmN&Hq$F$dqp(X)U1BJZ#9ue(pE)kzxD0hy~XD( zStk{N;OFMb;dBwJO>-m*9M$BrF3j6kB6Bz=`l?lO!Qva;l-UcCTUPE<;UcMLisn?6 zB4#g1mc9zS8nOJgkh9lCe1BTCXhclG5bQiq_}073?l)@)gV0dELX2lL=>-sL7mt^GeqG!-OA~ld)9>RDnxfZB&p? z)9A*NG15N6&x|aQZJBlc_;sBFP|AVc5@!{BW=gGEO0}vHe(Q6~pHQUYV=bNxiSZhf zIb*Pu?7doXGOw|(63!_R(hZX$Ttl+Sx?cw)=5O3pIqcWc5&y2hGiZ3JAf-&u!Lb%! zAOlI*Y^xcXMnoz|=xdjfg_b29=bsw2BjBw%U1#NA9UE3U8z}l$N3@IRUmrc^$ELae z8sygF|1fp7U?8A}a$M-NX6%qkhL(0wx5f4w*^tbI^m7(GKQ^W$&katKq7z)y&j(AS zwRHR-iy*j`uYHq?5JHI}(sWabvd-b;jlt=>JKzg;K$NSsUmBL~`zb2g#_FUi;d`x= zuTz1EF+GF+)Op@&=klM+PkX5^vD5Mb=6p%!mZ)0W z4-fBSH!Z!XH_4;|L=?fHD07;uGbhTWH5j-Nd`dG{W@^3JGQIm%YGbxfg2j$Ob8;n` zP&+NZV>u^-Z1ogtE5!KZKk0O*t6l5(OMN*uia$7aDY{(Y&(tH?-i+5k-q4rPPn~aP z$i!!I=h*qiEU2%@P6>2z48B&srNNZXx}vX=glWYp(C*>~c4}z#n-|Ir)?R6~XJH8o zr>X)!S~iHoj!P+=S(3kHx@(K%&k~XC$Az`?P|dlw<@LX~F3qgA+*=F6 zaOSL~cbf@6AfH|L8m_ruH2X2)3V)7(n$y+7ylsA8Y4VF9Y?uMQ=glFmPlKvxk_f+H zt_SkSub(NuHe=I(K^)Af^|4^3~%PI7p6U8N2^vm3zkS!lS6LF&cULWec(VQgXWZqid&Bm6z2hPts>7^dM zubnb_EkG2I@412HZdvjAUeGLx< zk{&0{+4LRa8Qjp=c+XCqh#$%860!EW@5Yz-pPBDt>V^ke-(!$G=+ESOUQN_J`T*yL z2jeyz3VPr~5;Azz7{ts|nhkNagp}o5Mex02H}qkj8q_Ov8g{+L;_x3B-*`kePk*>BCmzgyPWAZtp@@WYf51_S3%9QSOde4^Q!Yre=25ZP!7EcQpqN<> zj?I@Gi)kaha|PaAdrv5u4DZU7oAG4e6*ts;Ob5r4yR%c?cvSciK7o zoR#f3k7hGN{uZoRn6S5w80C8TXTQLw&DLz8T)ZU5fQpQk%86R5@DpvRwo~~cI<-`D z`RCuH-+d5@DUa5LT2)pS+8a@TBP0+}s9h6VZ@LaFye$I+!@S z?n3C@Y&Z}9BY$Ea^?82GvUb5_Kw1kq0--z|S)M;fqp8btOJ|n2dX|LgkoOqj2TJkm zHKo^kDmYj)aJWdYOJkhS;t!SGZ+K%zmq+Y*?UI?Jp3|^cM7P9t zucSVwPJtz7h!THH5%sYAVe>g@>Z65l73pIiYjv(_xgE<-QVbD-ud8AX<_Pmpb4j`4 zSk4?gcMRbz*Ry;@tM<}Nih=sYY~cFUZj;mb^8$Ct$;<$LupHBK#;*GhX}BGBJ{A>n zvOo5LPDJISffRLu`PdQAoL>g)JYS$oPvD__Tx8YLd1jq?V5l(b?1x^n`|waCW02EW zb^JOV`~ZpH3pNH8Yw<|G;WJs#Shf@qO>irkaA38ufhNM6{|TYO&v%^}46^T%8r-o5 zjqlC^)4Xe0QC4OgHyG7tZf4F=YMeS4)o&hPE_Ig`{1Enl@e%zhVQ?GEaUWBfknxS8 zz@rP9Ew$*>Wkc2z^gajBqphC&We|C~J)56sAhGu{;0BjUwTgs5^WC3dA=gzaFFt-B z*)BdIx0(`}A|9jAd(M~}wC3}G!S8b1ZS5l>mGy$$L4<6iclbiDua*L66;Wf2HGiTY z_qAm&E65IuJgq12AV>c9*t2{QDg)x7x@`!0}&KXwm6{@N^v=w6yCwH8^J1^~a#4 zeb>3cF_wbv8v^+tsE@Gsm8liR34`Q5b4PQO9ydo0ArE+n*Y{Y>3pZ(}1{q;+lHEAc zl=jCUBLZ$?Kc2;kVH2K%S>KglFFZ~K5n_HdO(wKTZMVUY{v&$w`Xr z70*1BQy?armTYU!4W*jg2WVPTs{MzDklPr9xUYiTL`$^#lbDdUmKt&23x;l5Fz|s* zpdUzKF)x&!Qr*`=c{VSgI@FRPUW;eFLyk!U{e+SWY9gC;buX?aM#}1q@m=r$-#vDe z)iPCKUGnP%XC>H&cO4F3qU&a3+&Sdq#*`97B*CJ{+JPzrOyIo`5E3#N_8${+(|I|2 z)J?T?_PAS!98lkf-y<7c_PL-%(Z@ejmQ{?NK+B_#=T-iyFn$LVeD(^M402!oUqN@J z%D;kcu#A9DU<*R!UEJ-FKt2BBEsEkomx0Ele?NPSqk#?~Fl{O5tyJ(D5`<=@fVYt; zG~;(GO9OY&|JMd|cU=A#=N{Jd$C8T0!&3a4T86|YEc4laSD3{Kqt3Rq`(jU)qH^tMfo0B?!tssZoQW#6l0) zX->%Px`$n2d2ELfTr%}upGWg})NEH8635(LK#n#9(v+2-%$GPq-t~c= z?n%}vbzRF9c63?uD%TB-yKOkDry_mAXbXki#yfdbwUJ`{3BL*tV!DM38_W>Ez;#s~ z#0`TbV%6@?=TQBFPG6IccBd)I1_5A*<7xiWY$VPoPoL|+5rLDJ-3Av~*vu0{lrh@0 z>sUU!URt92c!2{Q_hh+xqK7X==?}|ai!WDlt7czJ;;h9E<{WAZ_v+@f@%MK1-&py} z4wcvyvfS8ule0^WI>^KYL(UN@T>420t^@PoK0PXmmSqpLr*5Q*L=+0LP|+*S-$bZ~ zkV7Bt@O3ThzpH+=!p$eBzprgK&AYi~(!fSm+wwM)-LP_+7@Ng?D?{$A`$*1DO7Nd&uMbYjH6#u^}P9vB$VgzBYFCW48o?*L!iS zZS&q8gV>H&x)FaRa^4iqs=gq8Fz3qDOS`=x?!zU_R%Q*`bume4>EOW83YW-e`==sN zXFlqtDtzhxBnS8+mj`n z7#|#Occk{voV{Sn2)bKhHYz*o{+ndt^@h2od6(%^0l(0ohKo? zQWcQY9xljW2GfI4ALKHXlPnT3b&x?Hs>HH})bR4PfUYL<*S-VC`9o{!DXaZZ#(^E^ z-q4PO>XTqy)i>tYc3U7Kvb=oF|Mb0I+|qiX)b}xfE5i>6Ji6{bWaT%qG?y9J?P-Jf z`C;U0XQDKxff{4I#BHd!b{E*|h*NkppX`xXrP<_1xvwrC0tk2WN+GIPM?hIRo9L*r z_Vv=plJ;Bi5!xmIz(vW$GBH=CB38a$>d}p-Kkn7y8=3ny_k(ig7xXIkro?_oz#AZ* zq*`&czrX)>JENS)JqFjh@?(DQXJq59E_P8EnQ~ePKCC*~W_9^s)u=bLjzQ;JK0>E1 zL4C*G1rG-jJ$?OA$i<2lCuE?cQ{dMK(u-+)W^#U2t-s^s6Z*&wY04}zcy*IXbi_`? zpYGOMl-l?f(4-~@$+wJ*wzFTl5s6amkt(kK?8$Ys&%c1ikz-W|1`eR5;P_}R!> zRJ2*Y_-N1U>VaZ|#b~@N>HMqWfbHGOrI=xjtUJptY}Xy{SRRJD@rCT!`PC^K{#L@E z`==o6V$oF^35moO8Dyz`R7am~T<^OR>G1Jfam_40eRP^*r9NP7G0?KY*)WGme#(AD zCA&v)t_UJx158MBCOiv*qvzdfb`s7KV6MzextnP>@1GQ^^Gq6NewU3U`plF}a~lZA zdX&4c6?XM&tciz=AvpEb1dWbHBvRvOgQ_?fgd zJ}7-E`)brKV{N8IRZX7V44&Y;MK|U{2qG4Lac5N$L-tr24-{KTU7P*VII`r&+)VU;m97BaEJPY3IHbB(Ex1ASZ}}!wiDlMx zSrAll$l;X*v<#bX&(YmC*`_!CwNa?p)1K9zx`zmJdEZuM?3%-7M4MLs_@)D~8i%#c zrg>!s$GkanD-5`W&Sj&|`DL36SAKmt(>#c_2nTsl0@~fZpBuXQWW)mM2`jbBc` zw(3aq^^B#@Gir<+;()s|76f2?g|jlHH#}7NY5(crxqCg8%3%|Cz)k0qX=QwJ;EzaavTm!iqCJ z|5RMxx|z2Z5|CJZvN&dv_xo&D>hoaQ$hjcrS=i(mnl;q3obVBANh~f#+=cmm_wuXc z7?{e-dx7Ux8cyUADnVj1?}S=Zx<7n7yyfG0Fi)?xNjylWh@q9)5%o4!`Mhh@S7ee3 z(#d}}BZ*j3>KbUA2thf)nzIwW6-vO6Qp+_AUW>V5^#h|GD!Vu}s|Rm=#LC|mpAu}` zBJbT$iWk7T_YMeks)SEOcU&e`82L}+J1jjllr*`B2@dupA5~?{ivmz(Yfiu^Yu69I z-l;kv)`ZxV*jeTwo(ZH4L^p3NnUB_81yU_)p6Qve5S7#SzGLS5cX;NEp76zI=MH*h)EQu@vv!;Wz3c z5f~>W#pVm|xWsObI**dL-;m4npC5a}9^hZy}jdO&M>9a7@UqV+N+3G8mZhxCgQ4)rH!L+nKf*($TP`;r8FF(F_ zR_Wf>ISB!~s>+VCI1}pYZIw`+^!r0yMzB3a9%yR;j348;6VV$zwup=I4_aN`qx{mW zp?uX_EK1VGY|mnc@n!byxV3P{&WhBE4xvmqyxYe)AA?9UxVrJpJta=HODYBu`+BDd!O-ok|e_;wD7hNQTT!;%e9P{?n7Rq7Xr?(x1zQ1)J&RZ{}f)MSH zty{bp7-uoWK8!x5612Ip2*B4`kJlRo2h8ABdjxFm-{~!P>M03fZ2Pjw?4IN=Mho3H zF=>B@v2O4d!raAp)LRGeelNSx@EJr5Ayeh1BY&EbyI@wqnWI3+A%|t0>E@8mDEdbm*M*-rrYaRXdxmXLr&q_dG9odpXYodJe8O05t*@)0yPvS*Q*b!9D{Et2-pu6NXL0WKA{K^8z@*h24XgQ!G`dpz1W zYb1oelr)@2-*qL`iZ{u$Tfv;WG2~kI%@L=pt^ny;e93OIe?H$Z0k)@p$U1Q5nssT{ zW#X`1t7jcZg@;|FEe!RDkCM#>L&T=HFJyVt;(Ghnm;PL$ z!ZruUYEI*g=9yo%)7PuAAZ`)0ScP~Z(m>|q9 zW~6n47XiK&0eoJpVNV%int^v6ULPnhg3h!QYGirM20=t{zk`{MGze--uGb&AAO7BQ8y#THW)QzevoXFbzbLMc$g$chRt|SzJu!ode@&CA+M(PmenG%?V|3aWY`Sb*&OuN5?uT>^eQR-y>dL zzM+VC4u=0W#{;>Yz&sDI&x8sZ31u$06K)r!XUb+L4|ok z3mxN<-&UU!&?`lcs&4#(+S1Zj_f<||Fo0a8G}A)X$VyW=4f#^VazZbE0hLOkTHF~& zJQn|i6?gk(;f`&PYhE;1y-5qKEe7XvlN=EL{-;pGDt<_ueAh}*zmCY;=>)PuI` zK*Vf*HUu}_A+ZnqzB}8UwApy!fO*x8VVxh94dNUn##4h)W2^hxr#MzRd&ca9eWt#R z?W<&#ErtZ9{kaslK;s_0m;_n4^=y-oIzDBQ^h&MElMeROqDoKFqwg#+dWpP*qsU-A zcYN;liotO?79bd8BqmFBHCOD`*fq^rywPzz(urX|^3s=ZSLB(A8^mUq4;m8bJT`L@KL5F(V6I z1+*L}L;Xg^Y9fTtszq9;_>*&I*o-gwHH8>j)D0~+EdFVmm-*;<@Db@F$Azcr%Ggac zqSF#DW2^4dq%bcAo%-r=K zkG`V%z$`oPkQZ=dm)VS;Vw7-*5cFjY8W$v)X#{xHtzJueU2`=RQ|Qp!JlxCZLT7%8|CY_ z$Ucjf=3iwQVwR)3S!rC^*Alt56$2{RZ`J}m(nUpBr>-Yz2N5N?f20gC_o40P3 z9C~VAtXp;A-k*iALh6}k9rApBJHya&`1@M&RJuVyzE%+9P~m9xCu}P5g$D)OlKu z{|nRkFXZ&j8(bg&<|_Uhb@>tvoYy~n6Qmx?>GEhke$l=6H;xCK`agYtBQyYZlX@bw zVsIGp>(BqK?~D!zAJ`2ov)4kA_K??n0803$ucQe8TmC`8>TmzMFAFjI7YYUtvw!#f zzemgfxSF3Ea|kfbD4GFUEr5G@QpU7I#L&9;F#w3eRRT8-vtHZ7w?sAmLETyfcDElG zRug4Znonc+6Qq>^jxgDd7fj4gOWX|D>RV}6oD=I95?fC9HXQa?ld;2djfUS6F14{o zYK84GPpCXjW5lf6;ABdD|6cL$RcI1oKnVIAaKH58`K~TE&?ZWP=^K*(kd7ZV>6JsQ zI}^X_rd^gUjlCVFD)m1IV5@))!y#LRlpf-}>psGQ)&jkV(uRs$tF3jMpM@;oT$s8b zO?%R4n~hBx6wsb8xf4JB4a->+3%<=aGF%1lWtfFWjkdqh;(e z3~t!c4Rz|N{wlP#T)-!>0ef;jklCF-9wXLd(@1-=xj6lH3CY-Q8GWHTonF2tR3`~M zroA*9NG@kRd<4ADk#Nu%Vm_+nIs$iMOn=~JD)ja!Lzw+?j`;ix9Uk%0I+O$ z@qSm}3^tw!V7ndy>@-?>g1(k}xt+1RmeipeYH|XJWE@S4XxMFY0D$9N*;!5leXiXN zB)7yy%_cLt_3}tR&!YbpKpwzxus{!cwbJks4 z?LJbrIK92GblUf4pBP<95)kZR5BC&N-h=;{1ZYOereXH*nY9tNFE|jLl(u9geLYgO zP#Ul?Hdawls#md2D-657@E9OC>HQzw2Lc!?DR|FzCFX)G>GX1~Pi#7(0pa;ZuX^BF zL0KeUCa>?$flo}U(f5X%6oXvRyO<9kvoL}O6lg_(;6WZ`31hk!PRUhbI{SeIT{VCn z`Di!TuYIIy`^Iw4XR_b3{ zPf1Wc2FhXf8^9w2y-iedhw^*cV92Fx zJ!#LK1Ob%KD*_j6uU~QOh+m14Dn3Z8baR?p%FpX1EDd3@Jb3nV@jnPOq|{MV)8c=w zvfiZFiB$0>#BwlgToD8>`6@98wS<=oCjkmzwh6GKQENjL92u3VJew-ogvewv=uV{E z*%h)%8(-|zAFnms#{qsj+IVY;h}>m(j3moBxC@HS;RXHDrHyz4=}T4NEQEomV?JIw z;Df%{3TXAOrA;oP%anX(hnG|~BKXZ2)$iu&L1yAJAR^-jl{SVQ%47ST&@HAE4bmq7 z6+grYtFfs9Pq0Yub1D=a+r1X0a*@Olx&xqZK8+yy>e^*>*O8n8y|@9+q8Au``G}C) zR^WNiq8s^OE@t6HPfwP;Fs(%c*l#gO#(l6t8+%}_9H-(KJN^;AwgTevQ3Tn{qpw_IMnJaFZQ#K$?Dg>L6Lij4E%A z-My-o9u)kfA(x_onZaYMwZV?)>DVTGvkn|F!&X@|G%0T^doH-#t_su--jDFuZj68L z_6Hhdz`TfS<8=45&1+F&>q`3|_rxB{SuRfU+M+)S$Yz1iNLmdKK|F7p{}%AAo}E^d zV%~dJJZF11VoR5>#4x?I%UwtGWZVu`@VXLwh+q(Bnxa>xo~c!hHFB;yV~NE7t7uvP zF`uo}lb30OUM#Yn1b(0+u}1i`OznJ5dhIH^DFsHE4BdM~WXno>zPuxy8}b8O|J5fy zQ`c4fX~&gjWL7N!cocR!%XbQp+l}J#g!B~!wsU-PkKPQyfUulhmm?MIX9OO4M=V_@ zDxqmh#jERM>T} z{-PlvOy2wZGk7l5FP;m*m98V_$7<=~N)*EeB3aL`-T7}sO}i0GHJ|D!$Xur?SCqCF zhg9E9;k6~e$^NT!89aS`x?ZMT)LCQtgR~q=d zfmIc;n>KX9$pfW60po5)vPHZTU5cc!L>JG}IP;-sw5S=r2Gry5VgkpiAN!KPwdz_0 zfDm4LJ{h*bSg1}2wO$k_#T{(S7J36jReTx(K~2kc4G6eLtbP5M*as;f@a><2*AYdY zujG;4T$k;rv6$>0GK1RLi6~|Zr=%Gbzc-s9N5Uu`*9P1Qg8jz4v(XlS$VMbBy1%Uf znU%X!tICv;NE%yo)9CES79pPUd>Vy0+@=zdo#5|)!Eal zR~80xJ*>E<2eG{0eLXf##+ zveuEbA9xUAxGW?l07&G{lkCSV$X*GTN=MBZKSj5hNBh^%iiA(DpX_1~Hg>kwpqRj4 zKiYjs5l7D~VgU#%p(<+%&ejV=0rk{R`daKQ%{N;`kRLWIyS?G_n3X>;EWRuI6TCcM z#8qty*m5pzf4t}q7W36;|Bv`OQ9sz@_N`|3agahlhIpH0YgO$G zP5&tjUfu?DJlZJF7fag$*}*F66Pz8+`dSA7hBm9i(&(`OYN{m5qz9tLjrSD&u^7T) z4kMU!1=swQsn%$Zr&U;v5^INgfP)jHP#y#tDJ^;*=ZWE35CZb& zplRsIAIl9cpQO;@XdI?-+cj+f6ee6vYjK^Z+$cyIL5`;?76p6C0g$@Vm7oJkR!R`> zs3YX?rywQ!ycJ{2yIr&g^5S*%NtrNH7&m&B4I|0syP9XR%qfd=_OE88AHDO=-C7f> z|FqmMFa}`Vv#ZH0RE$5^>dyLpW9yXiwmK?(Q<2LRpE8xgHGiEL*0=G z(WZ*h>!YkVQ3XIob)vtfqGk03G@^CR$@!u#QEC^8eUmXHqZ&{EGU8AK5`n1mbQLTa z2IJ13ZL2Kbdbk+_vCg^#cs`9W;u}sk~H91HD?>iZhy!o)DYegh{Qse6y3(e zW-T2qfb_>s{djADrHkvOKBzKDg4Ai1j6I@4^{@P4nDp-P{zGShOFx`lQ=wz3hH$gi zukrMF-}AtcV}*|*Q{tn~ATBz?9aTK%n?ii+Y)Gn?-)ul{aY1N(bL1$wvwair zN%AbSYf$~-Ry-k_57%oubwcUF8>flOu42x+tB8qBa=W7zi25Tna$CjW79ae_kLGE4 z?1J!N*+E#oFfW~@6b8XLN=`hNTu`X7o?jlX zbL#w+0$B+DsX#W??zy(6i_Pq)Y)U|Uu!_Sxhs6@=e{9Mr*qF?aXI{yk{75`nL!

yqDa%e)_6lLN)+v2e)@L>27D^n?d(!g=)d!ZGwz5h12>spqlE&tZ+FHS!5<;35@l zeEVN1R&d%iQ0WKCXLJtI7YCZft7O=QknoqQ4hCNb1J@h#Glcx_lhXHntXN4DBKl=z zcxU#+mhpb);L~)oan6$Jk3EoTfcgdQfaA6MV9~Q5Mjlvazqj&W4T-yNccO0pSw=UHqxZx%C+&&;22 zz2_W)ijx%!s(ta=^Jngl8WW85MluQrE^LOs?^O^c=9Ya{tajAetAXmxI{~cq5OtBP z0t#;XHZ)NZCffPdJz`0gap*Z!Vd^3)n>?bG7cWvr-)ej7KvP->--C4iwYfUIw3_h1 zO{h%OM9_r8Zzu4a*Pfzp(uMMTrW)B+d-OE3dnA2SA+K#%f^tyh$qctE6`tzv6G9ba zO||=hZ*2X}25_c=#;|j!;xGZJQv>M0`?s`}Yc~bmpn=re3z>C})cCes zaAm4sYhT1=-r+RkBJUF2a|&w#x-L~iKY|oVGW$gufK!CvRw4L_) zdd|cf^&SfX0XtB+wfLG;W_)3=;W1&MfOyJ9za-8|#Tfr&&6%KF;8BHma&6#FA@K}+ z{@W+<8dg2!QY4JG5MQ0}+CXXMSX%yeY-~8MtI8~>oBndnL>AQnDxSB~y=k@ULX`)T zjJ;zdl4PFX#wQvAiLlIRl{Ws`B0RoxZ0_fYieDN&=?UK@?Z&-3r9F6ywwhP3>g06R zYQ05_!ri+vVv-gzJ0xj*SN?}h!@_kQ$-P)++euULD{23L&`q$-SgF(SUN%Af(5X`J zCf0^yP9Xa}o74)Icy8s28q;Q830thW!-XwO3{)^6Y5rw-sIXNdMz!h4oei6$sc|(G zSISl$!`EUo@PKf|uIFTPd9nUL|I>R{v9q6Dt;?i_0*!v5wX)(5O0}ywTr`x|TDLwT zH4-yq7>iZa5CcM%hG{J*0h}e%m^Mg<8PuFOWWk&)SAwrUYaK2R7q=$9Y@c3|WBjqu z%KJCm_5T3E5-T*!ZIksZ76*VB-!=^ckStF~$+9ab5nm|ujMU)Kq#j|=^Iq+{_YrU| zIzfqZdyAGF=zMgWMtZ0I%xlMIZzy~y|NUeYa|{O1FNt*uPW@S}4gEI>4NymrGH!Bb zSj;uhV3>Ooxys^^S*?B4V-{+~?)*(^15I|#2+Z#>3uT|49Y9Xo90SOjfZT&GuXhKE z%+|aCaAZ49KwHo{z$=vT33rx7m9uYIacGp!d)mp8qJvOZQL&zNC-J-B zRASdG3;xLf#xrC#z$2-L7{jo8_i_TX84M^}=+k-9`^W8SB-4v@r`;PVK!W4qTa4oO zcF%gKlnJ$?klR^oWDX%Y`xd9K9O4mVzHLA7Om#wLBj>hh%UOUmJP=w7UpSAOEPP`l zCy^{tXfscuRwiXqwLi`!T|SY216u?v;c45e)5r-Na+mwz*W}d&z`x?<>jO;4SKn|p zYm_VUyP0aPeec`(QnqeeZ11kH-H(u_dI6?mpKQ-H>bybXHRUrq^XPy`P8YDmoAV?} z+>3tXsgORy-LoEj^OvkN7DzR_+``uh?~X5s1GI%63!VYJ7h+xmZYdv?OfZV22zQa7 zdyRA0`#xh!K_k-vRD@ROxKEK})Omi!0thF_y3V&tjlH52a`(f$D4^T_ioJXS5*nZV zct7Ob1!o5~$n8`7PN0JB+5i9Z|7Ud)Q1vYG9`2E#iu2SVT**@_hbdKzyBpNQo=8vj zAJn9nj-=-N*B$~CdRt7yT{o2n)rlgmC6bre2I*UQk$8K@x#Z1m%?8sEnEJXo5#KR* z>=odJzfcD(?=L7>y=yak#b?Bl1@+`NI;7%wzsHED;yWfTm!8K;_oQupk+Lw7?*=Dp zzsGq%YfViZJ{Q5CsI4A>}L)DvTG(y}KtM zF8IeG1NPn$*EwG3E?3T0)pBywZp!>=Q2)G}Ts+}E#Jr@M6!ic8*Xh_ujM zt|i zXLv(geLX0O(_uzpe{W##Q|n(jk;n&3Pr;(w5wwHG>({uu;)73XYI_ffm><^FuIL!* z9Iz1l@9}=ED4V?5Bvq#v!Jk%Yz11$B$&q8%_87msc4~uj;8m$-h zm0mQAE$L8P=`acVN9!-*ZgR;EE=5f-g*3Gv3u4B4gT`XSvD`U-^pZ1R)9)|-%o>?c zD_`QZ=cJ@k6J-L1;ceJFbub+H@c(Qv;Gcw0h z@kgB2c%TV=yutUt11xukyE0kMxF$>n(~+RQo;rX+)wCc~xr{<&A`ozD{ch5TZwz;i z10`|9TCF^|2F0VPjR|`~r*R~5gF2w58LjEVkn48e+V((xO%02<-j|mc>*y1!Q z$TOMod3LtoNjv&P=Dpa(=@d{!I7@RNrUs(ejoabrv-}Im%o1l(iu!$n<~Iq>bw75p zMaaEyOhAurjV?#dgrnc-j~Y+&yR%354Y{!$Q=Bf5%Lf)EI#C+`nsiXa{I(9~J*8Am z)B{+RTvWg1C`DI(r6cxmPT0?#uh_IeWo3&q<}Y=8f`e1tiX6ytC~r+375sA%GThj! zc+AfJG0%9jDW^{><5NqP12Jj8RGjl%g>DM(Wc6N9%lRMx?wrmBIeU226ms4AJeP4% z+~T!|Q-T;>dEL!C5p$){-ohS!$)d2I-*r>KWEWZcDORT{)*3Qpo|y4$KDoBlFi5Br zk*J_(%0X`|^%nbyK=<1_n!f>6?D+9hnt;Hzh102^2FdiwaQ|boeCB3mDowSodM8uL z{#SeN9o5v=wTs4rAXNqFP3h95g)RbO1gRn*NR=jCq=lv^y-Da@x{81l=@5FP1p(jF>l-z+$Y%di zoUb2_{mTAq!bmxLM5ONWuM(0b2OH!4lacBWS%f{8Jy)sB=*nx-T&qvbHyp8T8g(}g zYcuaIJ^Ma6sBNG4S?ZZGTos?1Z0+#%V`9GIE}6l*zmunvR_V2R4uevH;TP-^NP)Vk zzi+BHdzf=@{$cqejS;f1h@Bt5baDXz+?K%1-6O_qK zGzCyP7ZgNr8D@sTga2;io5pdOFvdik)0m46OezDu!SFoNyuUk$o8L8wJBXANYxETR zN~*l9DW5WARgnAix=QR}M~65y3p(*Gr4%kVeDkpYu&Qbz*T)*ISd@1&9&5-ksCcBO z+Py#`9jd zE!R=rb#uPfga}Nn+7sOYbb z$J_y;xL1WS_`>iyZUu2%LO9~_YjL-#@a)F|05Ot{Q6;=CX3&7D@4)FBx(<_0Z)q73 zZuX8h=YN{rf#kUlRKs(ITRIS_{>UBnN1VPLJu32L(8e2vzo}IqdC-sr@n1%}P@C#R z=3=#{)nYjPYr8Fy{R!dFoZS>@rH%VWk3Q*_BEp}>J-uJdY24I_e4zAep?IN-dM89F zf%i<|siaU?jE})rjdL`mSXraMpMBUolkYmAyW@UfsGG|*3bPo81*hIERgemzQQU95W!-s zC*&H1@937TylH!G;;$8jw)&F6l@M|lW|dgq*^a<>yw~;1O0@=ZI(}hcLmYRf^2DYB zHmfka4$Uq`g;#W5t=*Ute#bk%M{zaR3K6Pa_IDK-+S*>$c{kLJx~|fVT}_48kmPb2 zC?~l{icWX5Dpdtl-7xG=O{54~_BODsHh6HgX65s~5k4yM$?5?kblonFe?(_!T~;`3 zukO}QsA}oB~hV6gVPp+qogo?=`9rat~O>KIdWes-w*{3EtC) zo<{=urK+VW#dm>R2oq*)jX`BssLzpKXS5nags_h(eQKv5QtAKv+V0UQcV$VIiM(dy z6KQ9iJ7i1gjCm8`^)>z{9`AOZ&X z&Hje*-;lFcbFZk@aK1{|u_vj-v^%Hp4S(ro)MPf8>L63vIk|F?lZZ z*t%Lm;LwHNlXy4Cj-&!=o$02ulcHv6jfTd~_(#s1yzgCUI{DF&9W+f;wR8H*s$_n^ zS*f%*Xqmo#NhbqZq_5ETKRsWwiarslB^|aW_sui@G>~9HVJGbWhLxq}XN1lJ+V`3<-;SCE>=IO!e*X?i-e6Q5sO&jg>fe@q7n=a*tmPrq-sE!G)TV#85ZhOe2p5?5Kta!n@_&6&&gAvxY1?AQ*}%Ci*76W4wRisk|Vj;1K?7ytwi2Mml>~BeZQFRvDQ7 zF;NHo$(XH#qJ}r|hHa7lwf?i`#%a`Ruq`mxIJDF|_M0M4{eRr~eTlYU=)PfaVGasf z`uv2&;q9M(J~4LI`SN`|{5f^amBF9RyUu0&fBe0+Q#46#aM_)B=TRB3_O9=N0Lhj+;G2l8f*f>y`M z&MaD7?LfRV=l7@P)qAcV37@qAsUmckQ}qO9>e=^~6uSU~>`f#4g)48w`2+=@gWb>_ z|CLNjqn-vBw{$1&mw=Px!#5Y$A2W*EeKR3jIQSO_^PI?O0VF~s=;%Qo0?(h$4X|?$ ztN~=pfAKqk6dFKFh93cGw|k}^K$q_Ia0-R}1+sy*gYf*Ie2xFanE{Ui!!MqH@IMf5 z|DS&Fp{)RbQgcK#`-1_3Ye#cL6i_G$JzlHS%JuVb>%3_&KBfrdd^(yd?(d%5%@z3< z%nY900E8y;IGA1!U0Uu&hO!N+090=qBWpYTVCb{FrKBC$moQsmVol*>uN_Fx^rG) z%!HbfO+l`4E{LoR&>iK@0*c=oB(}(mRNk?2q{8tUKq3?-&xWq>G2QX~U68y6Pz&W; zW*fHv5*FEj%<5Oyo&-K=M5?4y8jH=$CmoJsZ~s!~Yz2-cA^!)|JepMl^KeSb{{K}k zD_(>@W~G!}6G{K}dvg*XA_HI)+jD6_BM1aCUhm;>>~*f1cyT!9F{IwtL zu1@(>0Hx3h53ebw8pk%1tjpf9@_Qt!BgMAVMh2dM)ZRG40{}-AmEPE9lz90*R^jN= z%+t1#`Tj4(XOfQNKbz^e+Hr_O<&SiN&j6(MNUuU^Rn@Nm%7|wFV*pFtQh(X|>|~z` z;GQ}tPelNj!l?ktFJl1b+OZBD#u4*v36Qa?&Wq&cN(mqas#yzQifk0~fa1yRwduOb6Sw)ZsRk<7?#~r(7bY6MHI>tRHhy1l4q^+x zZE3}Kn_ZRf_Hs}J`)$=PZ`es6=|zwX(Om9ORnl?v%e|eOd;20G)+w_^Wb-A0WF_j_Zf`sS_97NZ}VqCZ&D{@l?kT0o2$Zw)sBt#;r7H)R< z=Uy|3yBKGnodwvR@!jscNvR4;33?T?x>T39F#!A85z0=q1;A_Kc42`0V^)a| ze@T_D6(H(3kfmPU-#AfeYunUt&gqu)U(N}&i5)gJF=5LNpB)`}YFr{wW(d+tsmKD% z(7a=67~;`Iv;{D5#%!fS4lajuA3jbQ`G&;CKV@rcP8WSF}NpPy}i+Q>Lyvx+4!TMFWe zE{K{Yi~sAl`+HLI%{zplcj{EaO~3l6nvnA*v*%@3;}}cX05}bNXKNM^KA5QJym$Zz z8g`Gi`_$o%&%MedZHsM&+k@;S0IXT>7{J>VUJEL`mJN_XtC^dyfRL#9Q*fy1Ypc_s zO$irDP6&(5@g0bS-Xw$M71kUOASj%9+^4u+HGE%Z&;{@rtP>S9Nxtjf4XoPUUoAm! zYh_KZC}mDvJOK1g2O=hno$I({6_e13SJ33` zfa2zamEY`v|5me)fY6(|Yld!hZ)sXCV;^r;4QozFx6I4CHH**JZK%R$EXuG4rL?jY#&i6WUb#D4uA@MViS>Va; z#4D5N)F8J+{iod+HbB8(!cPdQ>Q;BW(NL4suKJZ%fOshHnZO%>BD&_7`Bm0*1E4lI z8-oxA-K=&On1e1|A!kDYY+$BH!D_?3=~{z{l!iIkzGr|ri~hr$fkYxr1v`z-<(;$z zSnWoglvlF13V$DFD)>X~rJ<5W`+%Hh;$x~R5O*#3m*jIb=KoP6tetKYJ z4Vz_VpOv9oqY$)6dS8+Tfs<}A372NQsJY`sxz$M1lCj#*PAMxc1Sf1O3{YUH^vDrq zF643tlCb;>{! z)QDKQu)Xo%&d(ilymVdI&3(d>rRjXna0k$^DaXpkdjYjWVw-qC&Y;KiT^rbhC~Z!{ z$GNsPS=42aP{IkxwEa7s-0!@pyNzdb_!=j#;51p)1w1VCW&w?7r|+09yWaHRLU-pU zFkA9PpL5ydh!NKS+%!!~vdJq*wZLi)F9qIf!aCVep{WJut_hxh@8~nju_tq_pI}&J1V9AOi9?oFv7t8>EXc6yxRh}Y+ zQAk65=lqQSJACgfT21)sW`0@(wXFf-3wB`6y*qDznm4 zX2oRFXQSt0*S4F9k$$+dNMCY17|V_KE)PweGi~XkGRWulK5LXz#f9@^ji(KKbK4N@ z^XmSFtxb`{2p(jjLzG~@u2+}Ao`@A>TC~&KX*0W*EqK-_J+sa9sK^<``Q-&D$zGEp zhvmn7`}cC`n!aq1%BmRPH>%e!-LNC%9&CT=vJO8xEm(>^B7*Bri#&wMwC(A`UKUn~ zInujRlNXx;VU6NKcu#g`dceC`To8ar3*xAE6&Xb=#SciL*o z;X1kiK%mK_g(UgH2#e#GBPwH0#B*(&czk0aQMwYJ~CRsr69Cfbc^ z7sXvtZuz(2^KW@+!+7!^FA!fD%z~VQ?_1HL_EC?m5aOPiRwiya zK?OtJ?u=r?hCEP#l(eo63@W{-Top#;PC2T+J!V)h?XSrwTvTr75YD_h&K><6=9jsy zp$;{3c*N+UWmP$v=RWZF;rqSf8|qeP;#rXGMHPZ{cjS!u6GpQ~3k7X=FAqG=`8Iu{ z|B$#4SAs#EJ>0(SktiN8ouNjMik2U$<%ve&7Yl=jz|zryQptJuupR@Cj%bIMj$Ai$jkH9GxaoS+G8TzM z-AE>v|*mAq-75mMlZU;frs1HTEczp zh;+QI3ZA&_?+{AxcgJ7HF3_$|W}Fq;Dae-(!y3b8?skW=ifJ5n&8ouE;~UkIbAGno zhA2!QPPR3&(-hA)&h*AN8l>SPi&R@z34CS(_$JQ46IV)CS5+9CI7D|q@Q)7&`88rM zm)x~%cWMvG$~PU($Vyn0|9~uUpn{ zA*zd@8zH54erzH4UHW8}GjJox;w^WC8wM_$rl|dQK`?CWtKXg!Ok>;ss>`dl*i~~A z{qm>4{zD5^x;(UrS?RUs9i5*Hi4ANi4L2`Ankh?VSX{G2u$!eiDK#E2x~|Ij*(r8^ zh3-&I_r&E~D`0W(tKx}!{*H;e35+KfE$^qK#gDJy?K_6Lv+nQ8OLcE99mjLRPp)C7 zu8?P9B8JvYk``A#j-|la)VCv_iMq_Ry=u(nfe~g~cMbxI>d2J~==cQ?tFBZF^s9a{ zzkT6z|G5-=)L>?BrK_LAP#e4^38XvA0piid@qTvV`UVor~Y^T3BOC8Nt7l9i$?((eZu@ilY_{Bo4#L+J*+1v~C~3)N#TSrzDO^?c@G(b#02eK zr&GJk(gMp8yO8z*Q_!lh+YnQb9?3gai$XeQ&9clcA$tuMO@yIyytt=^m5KZ8jJ@3S zv-`UGrRv+v$D1AJA)KIGN|(C591ZZCyY0gVwlKQf8tx`#&NJcY6SCg<2u?PcZr4Z5 zaf?%H_4Wkz-~K|%f?h5{)Q;(0Y_M7DEDftXP80*Y{#!==%SPeu8nXw+5MWTi0^OlD zxU&4#a_Eq8LV#R%s8m@-*NHtrs#{q1CP65g?Pg(_#sZr?K{9%u`_MgEYg>nT|7Ow@ zxZA6dufhPb?M|hb*>%Q!xQbkP{zO+5h%naIKOJ0vz{JJJ`2xNio`1I%Y?CHXC=KrK zetMz*w`x2AG*VZ>1zX(j_c5ly%=6e2z8vm<6Ay@6ECP$XuMazH>`EH+gJdFpMB7pW zq3Q^&>|-&2(ddQ;a(vkjp}xH2?S`P+Go{(g(y!*HhT;2~(1BYcb9q}!J;+{F{O|6i z8ks_A7E*Lm+Hem0sg1kLGGzPK$oy?tz;)qcoCOCX-ET15msbe5m)QGiZEL>Wj_c22<-=Yd1wa;5zFLjYZ;ShDp6P@i`Xx#?%CEdJuRR%^;>+K&J-O;=n#n_;$`*U zO6nRDl3nVg7&TtU0n%V{8P59-T@-JxbjA+X@@J(kwkJ)*krr`^$fenbs9A+#cAEQt zvy*>5wR4w|bBP|k(bSyYCA^UOWqKzoD=S-2(SJhG%(E4DCW&C|3Zh#acWCx|X;t}n z)W>srT-0RoCo})ZcomSKC!DP5DH5{1tt82-MOH!G7$u#^wB>D-QGz zygI&{Nq-l$M|&g5M&@e8qq7U#Y#2=(xA^S|;@xD!!(_cpCDJa*n4JX7PB;)qkUQ8s zlvt&px9Jy*TfSL1cJPH$ILnsjuq5umj?kBg8P`EEIN7!dZ^fJAx^CJ#>Y4ChC+aoyBE>=Js`ob5;nAF^XH23 zSpmfe&u zYu9_6RVDMc*43x{@(L-qGQ{Rf0y?Ys*{~OCuV7889@ATtl;r=N2;~BF^t@}|jV)`u z98rdLIr9aF@2=CJ{Pxd|i#8KjS3_#?7_y3ivrhL|KKZ>z<^4~Y#FPB`a|;gL2-xsV zDH{RB0=I+KhGbT;qbqRLUqTO8qK5XKdaUhd)!0n!;I&Ra?u-Y~0IXJrJ?ZQt{4{p( z>~xc=61!1}HGYOSt=YR1t#1(EWIrL(5lgZ-Q5iM3V8IL^PlYmoKq7B^4la94&Ox#-rW~p9~rpEYklVzIbkw z_e5L8VppDlD)lp=Vtq0P;3do4 z5Rb7^S;xj_vLgHbXAx@>V40(ZP1B?%IC_CuG+?LIxB|}RGlx0%_yxG#UM&a0Nvv1G zs6M%A{QlWm9%@}I+a5Dq`7C4L==7jC{iyF4YlU){-rjYu7{JAE`q$yMD;1rO83hb7 z&W6PHs}&TpV||zzPFG#vBhLyAfkA1}S#|MS|LS<~#O;Lq=7MYhph{|6ra#TF=wo2| zT9+117##7RRhGJf(gO^eCL6!N@VH>TWM#Pw#9br$HDNE&gig^kDjVgmI;sGpvv0Rg zkBn8s9ZxaF%D;A~Ml!*nHVd+-1HWqW_BeYNqY#4UNuuowpDiu;>4V=A_X$S`v))PE zYAIOW*oELt0u|`C+98MWV+%nT|GV4E+rpV2zMrj=ns00TNWDe>KvM`KdpzoqEx6Qq zZ4s=wez+ZsustU3obI=}RRkM2Fy%Xl7{I#YpW{wh54t7%S*@1w`^_E}djSAXKGyNM z-zoZT#!7oLs7?e~ydH$wXd4KSGsa>Ejtr|c75L!{fe5(N;rEm?AOAuh7sAPmv5?); z@xk}|-?X;-9gxUVt&^46*~Z@b!x$f7wE)+$QS7RV;#>2xHv_$1do_yFrqGN5gjYX` z0H2qI|6UoWdOl`;IlJU1_rou5he9R=ualZXNe)@>yCNaeVJKg$^@Qsr`c;OMGMZON zO}Y74)@!+v85dL2oTJq`T?#6!H4Qkb@Xu1q@mk%*?)gw4g(omzXP&AN-u@{G* zFEYS(q%j^I70c&}hX9W48TR#`03X)8|4jePd+Pq#Mv)%7M_L@2BT!Y^3T%t8| zjC-np_A+P1GQ|%crfP}Y=zjy6wVg%r;EWgSOlY7SS_6=$%bLGSkD_NKA}o60wy z@$dUY5!6K)1F1U43A?LFqul{WVyd3~&;zH4-oT~E>>f<$$#v7@-+D1;_kN%CCZ#u( z4qULOLz(%k zS5JgXK~+O~wR*KAnT1R=UWxz~|JaOo2-c6E!j-IseX!+#~Ta(BIMHKt_DJk$cH{`Gi5 z!Q0(~PEczIsBttS=2Y)>MZ0zeVs)Ew?e%*f=I@l*$@Zq9nUO3tzW&7qDJ%lbR+Q{p z{_lOh^3$|1>t`u={B|t5#W{|SF*E^*#UdWQ@Ec&(XO;5Q*fTOJgtMA^lBRee?JFxb zVc;_{w*FbMrmLL;Q;%D{h8(Fl`Mj8uhghOm9o16sbq|uDvD9!b}t#tdmexE+*dnNqOII` z9?9m{v*kv!IUhJ{;`rMf2KkSUqDOnSndF0L>UKVaTpGe=x;6&RM zVU&Qx8iEv0eyj1xX3rk+4+!(e!k+;P)#)#Kcg8ODxwNmk z-b*pHZPtS-vNIlG18R|Oy6 z#_j8Ph@X```V#kFjw(drCRXp~-R!&x4R_VYg$#F}n#4Rv=j@5ID`e>Ee6^0`lL0?= zmg|ZE4ZB@nh6VTqtHG{8@bV3C>2z*U*Ix-NAqNr7S8-)t8YHo$pBOt zuVW&)wi9fjwT`?%DXVM2BXGHClDyy!a5!2l%i`hZE>S zUb}B4@BVBzHQ5L$Mmm12JBs>xKuRQ%{nrVnhOizFZI9=;_%#NYe6!TpV*?@`=@ zTu2OEw)!pgR+Mv7r}?tX0JebykEsUP(A;yArnJ=d(|a%0@ABhN4Ct1V4)~=PhpoG!~-iD(IU*3&raE?5( zS6)y02*NzHoaWUVhaK>;rxw07a~y;eV5yIrj|Gj|9}ITtxSnE|GrXl?9I=^4p9!Dr zOh9E#maL zm;(YZ?XdU{zj4;}GY+1{TbVCP-sbysO78eEY8BxS;tDCh@`+RK$LTzFYtRsR8Im>c z&2pLOE)la&WER@8T=_!ZkHUjAh8$Nij@0|_EkpEPq@4b^?rS?tBZl)Otpn_7f(n99 z-R#*3*&fdzolD&u7xK-V33(IyP%;RR(V1xpnED7M{2}(#*UKRNv<`bVRHMz^}^6j*Fg@~MFZ_QTZ#ojI=5&YE6@0Zoe z7l4N7f2@nXv`UU;tl@ui)w2cs@!Bl4{My>Xss=-&8WnuQ2k}iX@j*m>2o@B2+_*a{q$g85MleRzZ~k&p_M%n!Z}5Xs$(+IN?y12HE)$ zyjbo@q!U(BW2nd!!92hN<`pTrm~uOuwH;koyf|5@d8qBcQ0mfpA;f#8lZ0sN)OT~p zR$;#;TG5^P7QCAO&7nMcX~F!HJ0aly>s%1`X4k6qf$T9af#sDvk$dN3x+g5Ot;#LK!kD*3DS0{{DS}*uxqG$^rR{{J1M_C=4yDlN~?5}#SdXwzD$8P z5Sq1}pBzZaC*Yz`GHvZ|A!LvJ&-NlK4l}4b#ntQ=_StSXj@5z!utHNWKNuM zP1=@Q^gUgaG-~@sF(~$p{^g`OyzTki)}JcAC+3%WU(h*L`TcxjRXB~W$=O>|vxrRB z;ODP2fi3YRU%>iX+Ln2=3e7a`_^MKw6L?=DL(DkJ^>i(R)SPm5I~85bNKNw+@Jq_B znO8#?+)Ew6hAc=OZYj}eaDb*LV4=C@CagAfPA%4N{Gc+FB)jDK1r0Z?n3!z6sDq7b zohf=3n9ZVP$rWSB=ClIVT85yJL?Uot6=bcQTCx*~a3IIE?8b`w�pu=2(rbtu>Q zDKY3`N|!i|^{rYGcCSOdMeOU-uwqS^{#QS#*P&8e~mGISb9jt}t z-%0paD1iF5bj2v0rSuMSP<1+)dhl^e$b62;NNp{1QO!?E_bsu$bQIu^V82~8T}5jj z(gd>>ZEAzIC#Rp^G8Hm;3)LhNA!6+9@baAdco%=n|K|6J^?SO_h6B01OW@4VF`Kl_ zwBNNwi8^MBFG4i;4M6U5Zx1^o4MOHlU=DRGH-}Abrdmf5ZCPxh1k>rvsNT(0@lslL z6nWpw1J-S6{Pox{^x0KBwi<*vW6tXuM@1wru#?nfproTY~#)(CClF$XcP$-&vkB%lNT{jVU(0wcFmt`g}x%rs+RHS(% zP1wT+Iyy_dodL{}JZceK`sDeV8#!@E`)>_qfsb2g8QNQF6{oIq8N+!;{BOdYY9>XF znWHeI_;ITFpd^}@`9`Z|j?wEvh7YuvE6K5U=-lbNROh}+e`AH4ica2aVRp1NE&sM8 zFQSok=xz+6Hn|qL2}1^p#A3zXD`e2Bx=5^Ap?C$T=~@U$I~aFSB>E%;xEW>Ne$jA< zpU>&j%nh0r8t;r@F&v!Vx}>9S=F`{&c2!cj%LGu2$fN3!0mqwO~(%H;V10zS4&%_f&KRVzw8Gzo4-RMp3NJ-&r76rz(0C9QpLsTsAg% z0MY!!1Vl~fcj?A1wU8W}`God);a+b z>6FD@$}3IP>qve}fAWQS60xS(3|S^Br$X0!^GFxEj-NmPwy4xra4%}WYo3>vuFISO zCM`=N&^|(CWD7P+$sgUgc+=!0^)Oa$tLN$)jy{22AH&W=W-glm!Ys)RiT26bIpXec z-?L7GE{yy(;ULJuPm4ToLDZR}wfYsxg^0jyaG(Rg8obLKEKA^u>m*-pwA?1^;-Yt=-ukeif=JtsnBP zr%^Z}?*ksqFIN+J+#IO7H^I=|`O{__R3mn0mNi^fnr2f`?7$B% zwb`Y67x%B&EE>2mKzq9pehRbHouXx}Sbiad)lLik^dPWLLAg=5?ab*E-mw|&ko*nV z%DS%l59I8hY;aU7~?#XvWs+k&GKOZ zsBm9CAZD;`t|9h+or><#zHCrKPA74-wJC;SmPXj&wPYHqCLhWFe@SRteF}odorsq{bCG<&;5$tQoZn=C{NFGC(rgn2SDSP`-5!H9U-e zH7)rtEf8bazPth8t|Y{r*HUcT{7-;fdb9a)5la{VUc>mGbOmpVHZ zcvac1T$N|0n__+8pX5G(W#dXt@iX}6>i}iH23&}mp)^kk1nJtuDfU8dZ8optha zzhD3~_k?Yj=P~oy)b6O!F3P~mAY{w&mQH)ZzEH-^=s z8GX*uip#bVfbs@yABnUlFgkt~sReXry?{1uaxBwD$gWtF`-M7oB#@!c*4#c$VhAaJ zb9ri4x6Ej510xM@zX5p{?&OT=xVq3RA22;$1e2WlWI Date: Fri, 24 Mar 2023 14:47:07 +0000 Subject: [PATCH 070/128] *** bookmark test-iris for paper *** --- tests/test_iris.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/test_iris.py b/tests/test_iris.py index 5193abe..bda1d6a 100644 --- a/tests/test_iris.py +++ b/tests/test_iris.py @@ -176,7 +176,7 @@ def nln_binary_iris_1(type, x, training: bool): Source: https://arxiv.org/pdf/1804.01508.pdf """ -# mean: 93.88, sem: 0.12, min: 80.00, max: 100.00, 5%: 86.67, 95%: 100.00 +# mean: 93.89, sem: 0.12, min: 80.00, max: 100.00, 5%: 86.67, 95%: 100.00 def nln_binary_iris(type, x, training: bool): dtype = jax.numpy.float64 y = hard_vmap.vmap(type)((lambda x: 1 - x, lambda x: 1 - x, lambda x: symbolic_primitives.symbolic_not(x)))(x) @@ -185,7 +185,7 @@ def nln_binary_iris(type, x, training: bool): x = hard_and.and_layer(type)( layer_size, dtype=dtype, - weights_init=initialization.initialize_bernoulli(0.0, 0.3, 0.501), + weights_init=initialization.initialize_uniform_range(0.4, 0.4), )(x) x = hard_dropout.hard_dropout(type)( rate=0.05, From fd11ccf49e3186c4c1cdd96c834b69ecf5ce1e79 Mon Sep 17 00:00:00 2001 From: Ian Wright Date: Fri, 24 Mar 2023 16:42:20 +0000 Subject: [PATCH 071/128] more --- docs/db.bib | 265 +++++++++++++++++++++++ docs/db.tex | 50 ++++- docs/noisy-xor-architecture.png | Bin 32025 -> 31980 bytes docs/papers/1705.11040.pdf | Bin 563892 -> 0 bytes docs/papers/1905.11885.pdf | Bin 1034619 -> 0 bytes docs/papers/2002.06100.pdf | Bin 4072464 -> 0 bytes docs/papers/PAYANI-DISSERTATION-2020.pdf | Bin 2408395 -> 0 bytes docs/papers/minimax-algebra.pdf | Bin 690025 -> 0 bytes 8 files changed, 304 insertions(+), 11 deletions(-) create mode 100644 docs/db.bib delete mode 100644 docs/papers/1705.11040.pdf delete mode 100644 docs/papers/1905.11885.pdf delete mode 100644 docs/papers/2002.06100.pdf delete mode 100644 docs/papers/PAYANI-DISSERTATION-2020.pdf delete mode 100644 docs/papers/minimax-algebra.pdf diff --git a/docs/db.bib b/docs/db.bib new file mode 100644 index 0000000..e17962d --- /dev/null +++ b/docs/db.bib @@ -0,0 +1,265 @@ +@misc{granmo18, + doi = {10.48550/ARXIV.1804.01508}, + + url = {https://arxiv.org/abs/1804.01508}, + + author = {Granmo, Ole-Christoffer}, + + keywords = {Artificial Intelligence (cs.AI), Computer Vision and Pattern Recognition (cs.CV), Machine Learning (cs.LG), FOS: Computer and information sciences, FOS: Computer and information sciences}, + + title = {The {T}setlin Machine -- A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic}, + + publisher = {arXiv}, + + year = {2018}, + + copyright = {arXiv.org perpetual, non-exclusive license} +} + +@misc{noisy-xor-dataset, + author = {Granmo, Ole-Christoffer}, + title = {The noisy {XOR} dataset}, + howpublished = {GitHub repository}, + url = {https://github.com/cair/TsetlinMachine} +} + +@misc{binary-iris-dataset, + author = {Granmo, Ole-Christoffer}, + title = {The binary Iris dataset}, + howpublished = {GitHub repository}, + url = {https://github.com/cair/TsetlinMachine} +} + +@inproceedings{ + Liu2020On, + title={On the Variance of the Adaptive Learning Rate and Beyond}, + author={Liyuan Liu and Haoming Jiang and Pengcheng He and Weizhu Chen and Xiaodong Liu and Jianfeng Gao and Jiawei Han}, + booktitle={International Conference on Learning Representations}, + year={2020}, + url={https://openreview.net/forum?id=rkgz2aEKDr} +} + +@article{DBLP:journals/corr/BengioLC13, + author = {Yoshua Bengio and + Nicholas L{\'{e}}onard and + Aaron C. Courville}, + title = {Estimating or Propagating Gradients Through Stochastic Neurons for + Conditional Computation}, + journal = {CoRR}, + volume = {abs/1308.3432}, + year = {2013}, + url = {http://arxiv.org/abs/1308.3432}, + eprinttype = {arXiv}, + eprint = {1308.3432}, + timestamp = {Mon, 13 Aug 2018 16:47:35 +0200}, + biburl = {https://dblp.org/rec/journals/corr/BengioLC13.bib}, + bibsource = {dblp computer science bibliography, https://dblp.org} +} + +@article{rumelhart1986learning, + title={Learning representations by back-propagating errors}, + author={Rumelhart, David E and Hinton, Geoffrey E and Williams, Ronald J}, + journal={Nature}, + volume={323}, + number={6088}, + pages={533--536}, + year={1986}, + publisher={Nature Publishing Group} +} + +@inproceedings{10.5555/3104322.3104425, + author = {Nair, Vinod and Hinton, Geoffrey E.}, + title = {Rectified Linear Units Improve Restricted Boltzmann Machines}, + year = {2010}, + isbn = {9781605589077}, + publisher = {Omnipress}, + address = {Madison, WI, USA}, + abstract = {Restricted Boltzmann machines were developed using binary stochastic hidden units. These can be generalized by replacing each binary unit by an infinite number of copies that all have the same weights but have progressively more negative biases. The learning and inference rules for these "Stepped Sigmoid Units" are unchanged. They can be approximated efficiently by noisy, rectified linear units. Compared with binary units, these units learn features that are better for object recognition on the NORB dataset and face verification on the Labeled Faces in the Wild dataset. Unlike binary units, rectified linear units preserve information about relative intensities as information travels through multiple layers of feature detectors.}, + booktitle = {Proceedings of the 27th International Conference on International Conference on Machine Learning}, + pages = {807–814}, + numpages = {8}, + location = {Haifa, Israel}, + series = {ICML'10} +} + +@inproceedings{10.5555/3157382.3157557, + author = {Hubara, Itay and Courbariaux, Matthieu and Soudry, Daniel and El-Yaniv, Ran and Bengio, Yoshua}, + title = {Binarized Neural Networks}, + year = {2016}, + isbn = {9781510838819}, + publisher = {Curran Associates Inc.}, + address = {Red Hook, NY, USA}, + abstract = {We introduce a method to train Binarized Neural Networks (BNNs) - neural networks with binary weights and activations at run-time. At train-time the binary weights and activations are used for computing the parameter gradients. During the forward pass, BNNs drastically reduce memory size and accesses, and replace most arithmetic operations with bit-wise operations, which is expected to substantially improve power-efficiency. To validate the effectiveness of BNNs, we conducted two sets of experiments on the Torch7 and Theano frameworks. On both, BNNs achieved nearly state-of-the-art results over the MNIST, CIFAR-10 and SVHN datasets. We also report our preliminary results on the challenging ImageNet dataset. Last but not least, we wrote a binary matrix multiplication GPU kernel with which it is possible to run our MNIST BNN 7 times faster than with an unoptimized GPU kernel, without suffering any loss in classification accuracy. The code for training and running our BNNs is available on-line.}, + booktitle = {Proceedings of the 30th International Conference on Neural Information Processing Systems}, + pages = {4114–4122}, + numpages = {9}, + location = {Barcelona, Spain}, + series = {NIPS'16} +} + +@article{JMLR:v15:srivastava14a, + author = {Nitish Srivastava and Geoffrey Hinton and Alex Krizhevsky and Ilya Sutskever and Ruslan Salakhutdinov}, + title = {Dropout: A Simple Way to Prevent Neural Networks from Overfitting}, + journal = {Journal of Machine Learning Research}, + year = {2014}, + volume = {15}, + number = {56}, + pages = {1929--1958}, + url = {http://jmlr.org/papers/v15/srivastava14a.html} +} + +@inproceedings{10.5555/2969442.2969588, + author = {Courbariaux, Matthieu and Bengio, Yoshua and David, Jean-Pierre}, + title = {BinaryConnect: Training Deep Neural Networks with Binary Weights during Propagations}, + year = {2015}, + publisher = {MIT Press}, + address = {Cambridge, MA, USA}, + abstract = {Deep Neural Networks (DNN) have achieved state-of-the-art results in a wide range of tasks, with the best results obtained with large training sets and large models. In the past, GPUs enabled these breakthroughs because of their greater computational speed. In the future, faster computation at both training and test time is likely to be crucial for further progress and for consumer applications on low-power devices. As a result, there is much interest in research and development of dedicated hardware for Deep Learning (DL). Binary weights, i.e., weights which are constrained to only two possible values (e.g. -1 or 1), would bring great benefits to specialized DL hardware by replacing many multiply-accumulate operations by simple accumulations, as multipliers are the most space and power-hungry components of the digital implementation of neural networks. We introduce BinaryConnect, a method which consists in training a DNN with binary weights during the forward and backward propagations, while retaining precision of the stored weights in which gradients are accumulated. Like other dropout schemes, we show that BinaryConnect acts as regularizer and we obtain near state-of-the-art results with BinaryConnect on the permutation-invariant MNIST, CIFAR-10 and SVHN.}, + booktitle = {Proceedings of the 28th International Conference on Neural Information Processing Systems - Volume 2}, + pages = {3123–3131}, + numpages = {9}, + location = {Montreal, Canada}, + series = {NIPS'15} +} + +@ARTICLE {9026948, + author = {E. Wang and J. J. Davis and P. K. Cheung and G. A. Constantinides}, + journal = {IEEE Transactions on Computers}, + title = {LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference}, + year = {2020}, + volume = {69}, + number = {12}, + issn = {1557-9956}, + pages = {1795-1808}, + abstract = {Research has shown that deep neural networks contain significant redundancy, and thus that high classification accuracy can be achieved even when weights and activations are quantized down to binary values. Network binarization on FPGAs greatly increases area efficiency by replacing resource-hungry multipliers with lightweight XNOR gates. However, an FPGA's fundamental building block, the K-LUT, is capable of implementing far more than an XNOR: it can perform any K-input Boolean operation. Inspired by this observation, we propose LUTNet, an end-to-end hardware-software framework for the construction of area-efficient FPGA-based neural network accelerators using the native LUTs as inference operators. We describe the realization of both unrolled and tiled LUTNet architectures, with the latter facilitating smaller, less power-hungry deployment over the former while sacrificing area and energy efficiency along with throughput. For both varieties, we demonstrate that the exploitation of LUT flexibility allows for far heavier pruning than possible in prior works, resulting in significant area savings while achieving comparable accuracy. Against the state-of-the-art binarized neural network implementation, we achieve up to twice the area efficiency for several standard network models when inferencing popular datasets. We also demonstrate that even greater energy efficiency improvements are obtainable.}, + keywords = {table lookup;deep learning;field programmable gate arrays;neural networks;logic gates;random access memory}, + doi = {10.1109/TC.2020.2978817}, + publisher = {IEEE Computer Society}, + address = {Los Alamitos, CA, USA}, + month = {dec} +} + +@InProceedings{10.1007/978-3-319-46493-0_32, + author="Rastegari, Mohammad + and Ordonez, Vicente + and Redmon, Joseph + and Farhadi, Ali", + editor="Leibe, Bastian + and Matas, Jiri + and Sebe, Nicu + and Welling, Max", + title="XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks", + booktitle="Computer Vision -- ECCV 2016", + year="2016", + publisher="Springer International Publishing", + address="Cham", + pages="525--542", + abstract="We propose two efficient approximations to standard convolutional neural networks: Binary-Weight-Networks and XNOR-Networks. In Binary-Weight-Networks, the filters are approximated with binary values resulting in 32{\$}{\$}{\backslash}times {\$}{\$}{\texttimes}memory saving. In XNOR-Networks, both the filters and the input to convolutional layers are binary. XNOR-Networks approximate convolutions using primarily binary operations. This results in 58{\$}{\$}{\backslash}times {\$}{\$}{\texttimes}faster convolutional operations (in terms of number of the high precision operations) and 32{\$}{\$}{\backslash}times {\$}{\$}{\texttimes}memory savings. XNOR-Nets offer the possibility of running state-of-the-art networks on CPUs (rather than GPUs) in real-time. Our binary networks are simple, accurate, efficient, and work on challenging visual tasks. We evaluate our approach on the ImageNet classification task. The classification accuracy with a Binary-Weight-Network version of AlexNet is the same as the full-precision AlexNet. We compare our method with recent network binarization methods, BinaryConnect and BinaryNets, and outperform these methods by large margins on ImageNet, more than {\$}{\$}16{\backslash},{\backslash}{\%}{\$}{\$}16{\%}in top-1 accuracy. Our code is available at: http://allenai.org/plato/xnornet.", + isbn="978-3-319-46493-0" +} + +@article{QIN2020107281, + title = {Binary neural networks: A survey}, + journal = {Pattern Recognition}, + volume = {105}, + pages = {107281}, + year = {2020}, + issn = {0031-3203}, + doi = {https://doi.org/10.1016/j.patcog.2020.107281}, + url = {https://www.sciencedirect.com/science/article/pii/S0031320320300856}, + author = {Haotong Qin and Ruihao Gong and Xianglong Liu and Xiao Bai and Jingkuan Song and Nicu Sebe}, + keywords = {Binary neural network, Deep learning, Model compression, Network quantization, Model acceleration}, + abstract = {The binary neural network, largely saving the storage and computation, serves as a promising technique for deploying deep models on resource-limited devices. However, the binarization inevitably causes severe information loss, and even worse, its discontinuity brings difficulty to the optimization of the deep network. To address these issues, a variety of algorithms have been proposed, and achieved satisfying progress in recent years. In this paper, we present a comprehensive survey of these algorithms, mainly categorized into the native solutions directly conducting binarization, and the optimized ones using techniques like minimizing the quantization error, improving the network loss function, and reducing the gradient error. We also investigate other practical aspects of binary neural networks such as the hardware-friendly design and the training tricks. Then, we give the evaluation and discussions on different tasks, including image classification, object detection and semantic segmentation. Finally, the challenges that may be faced in future research are prospected.} +} + +@inproceedings{ + dong2018neural, + title={Neural Logic Machines}, + author={Honghua Dong and Jiayuan Mao and Tian Lin and Chong Wang and Lihong Li and Denny Zhou}, + booktitle={International Conference on Learning Representations}, + year={2019}, + url={https://openreview.net/forum?id=B1xY-hRctX}, +} + +@article{10.5555/3241691.3241692, + author = {Evans, Richard and Grefenstette, Edward}, + title = {Learning Explanatory Rules from Noisy Data}, + year = {2018}, + issue_date = {January 2018}, + publisher = {AI Access Foundation}, + address = {El Segundo, CA, USA}, + volume = {61}, + number = {1}, + issn = {1076-9757}, + abstract = {Artificial Neural Networks are powerful function approximators capable of modelling solutions to a wide variety of problems, both supervised and unsupervised. As their size and expressivity increases, so too does the variance of the model, yielding a nearly ubiquitous over_tting problem. Although mitigated by a variety of model regularisation methods, the common cure is to seek large amounts of training data--which is not necessarily easily obtained--that sufficiently approximates the data distribution of the domain we wish to test on. In contrast, logic programming methods such as Inductive Logic Programming offer an extremely data-efficient process by which models can be trained to reason on symbolic domains. However, these methods are unable to deal with the variety of domains neural networks can be applied to: they are not robust to noise in or mislabelling of inputs, and perhaps more importantly, cannot be applied to non-symbolic domains where the data is ambiguous, such as operating on raw pixels. In this paper, we propose a Differentiable Inductive Logic framework, which can not only solve tasks which traditional ILP systems are suited for, but shows a robustness to noise and error in the training data which ILP cannot cope with. Furthermore, as it is trained by backpropagation against a likelihood objective, it can be hybridised by connecting it with neural networks over ambiguous data in order to be applied to domains which ILP cannot address, while providing data efficiency and generalisation beyond what neural networks on their own can achieve.}, + journal = {J. Artif. Int. Res.}, + month = {jan}, + pages = {1–64}, + numpages = {64} +} + +@Book{BreiFrieStonOlsh84, + Title = {Classification and Regression Trees}, + Author = {Leo Breiman, Jerome Friedman, Charles J. Stone, R.A. Olshen}, + Publisher = {Chapman and Hall/CRC}, + Year = {1984} +} + +@INPROCEEDINGS{598994, + author={Tin Kam Ho}, + booktitle={Proceedings of 3rd International Conference on Document Analysis and Recognition}, + title={Random decision forests}, + year={1995}, + volume={1}, + number={}, + pages={278-282 vol.1}, + doi={10.1109/ICDAR.1995.598994}} + +@book{koza1992genetic, + title={Genetic Programming: On the Programming of Computers by Means of Natural Selection}, + author={Koza, J.R.}, + isbn={9780262111706}, + lccn={92025785}, + series={A Bradford book}, + url={https://books.google.co.uk/books?id=Bhtxo60BV0EC}, + year={1992}, + publisher={Bradford} +} + +@inproceedings{NEURIPS2019_d8c24ca8, + author = {Cuturi, Marco and Teboul, Olivier and Vert, Jean-Philippe}, + booktitle = {Advances in Neural Information Processing Systems}, + editor = {H. Wallach and H. Larochelle and A. Beygelzimer and F. d\textquotesingle Alch\'{e}-Buc and E. Fox and R. Garnett}, + pages = {}, + publisher = {Curran Associates, Inc.}, + title = {Differentiable Ranking and Sorting using Optimal Transport}, + url = {https://proceedings.neurips.cc/paper_files/paper/2019/file/d8c24ca8f23c562a5600876ca2a550ce-Paper.pdf}, + volume = {32}, + year = {2019} +} + +@article{VANKRIEKEN2022103602, + title = {Analyzing Differentiable Fuzzy Logic Operators}, + journal = {Artificial Intelligence}, + volume = {302}, + pages = {103602}, + year = {2022}, + issn = {0004-3702}, + doi = {https://doi.org/10.1016/j.artint.2021.103602}, + url = {https://www.sciencedirect.com/science/article/pii/S0004370221001533}, + author = {Emile {van Krieken} and Erman Acar and Frank {van Harmelen}}, + keywords = {Fuzzy logic, Neural-symbolic AI, Learning with constraints}, + abstract = {The AI community is increasingly putting its attention towards combining symbolic and neural approaches, as it is often argued that the strengths and weaknesses of these approaches are complementary. One recent trend in the literature is weakly supervised learning techniques that employ operators from fuzzy logics. In particular, these use prior background knowledge described in such logics to help the training of a neural network from unlabeled and noisy data. By interpreting logical symbols using neural networks, this background knowledge can be added to regular loss functions, hence making reasoning a part of learning. We study, both formally and empirically, how a large collection of logical operators from the fuzzy logic literature behave in a differentiable learning setting. We find that many of these operators, including some of the most well-known, are highly unsuitable in this setting. A further finding concerns the treatment of implication in these fuzzy logics, and shows a strong imbalance between gradients driven by the antecedent and the consequent of the implication. Furthermore, we introduce a new family of fuzzy implications (called sigmoidal implications) to tackle this phenomenon. Finally, we empirically show that it is possible to use Differentiable Fuzzy Logics for semi-supervised learning, and compare how different operators behave in practice. We find that, to achieve the largest performance improvement over a supervised baseline, we have to resort to non-standard combinations of logical operators which perform well in learning, but no longer satisfy the usual logical laws.} +} + +@phdthesis{DBLP:phd/basesearch/Payani20, + author = {Ali Payani}, + title = {Differentiable neural logic networks and their application onto inductive + logic programming}, + school = {Georgia Institute of Technology, Atlanta, GA, {USA}}, + year = {2020}, + url = {https://hdl.handle.net/1853/62833}, + timestamp = {Wed, 04 May 2022 13:00:04 +0200}, + biburl = {https://dblp.org/rec/phd/basesearch/Payani20.bib}, + bibsource = {dblp computer science bibliography, https://dblp.org} +} \ No newline at end of file diff --git a/docs/db.tex b/docs/db.tex index a334d12..074c822 100644 --- a/docs/db.tex +++ b/docs/db.tex @@ -57,7 +57,7 @@ \section{Introduction} This paper proposes a new approach to mitigate these drawbacks. The main idea is to define a type of neural network, called a $\partial \mathbb{B}$ net, which has two aspects: a soft net, which is a differentiable real-valued function, and a hard net, which is a non-differentiable, discrete function. Both aspects are semantically equivalent. We train the soft net as normal, using backpropagation, then `harden' the learned weights to boolean values and bind them with the hard net to yield a discrete function with identical predictive performance (see figure \ref{fig:main-idea}). In consequence, interpreting and verifying a $\partial \mathbb{B}$ net is relatively less difficult. The bias towards learning discrete functions reduces variance in some domains. And boolean-valued, 1-bit weights increase the memory-efficiency of trained models. -The main contributions of this work are (i) defining novel activation functions that `harden' to semantically equivalent discrete functions, (ii) defining novel network architectures to effectively learn discrete functions that solve multi-class classification problems, and (iii) experiments that demonstrate $\partial \mathbb{B}$ nets compete with existing approaches in terms of predictive performance yet yield considerably smaller models. +The main contributions of this work are (i) defining novel activation functions that `harden' to semantically equivalent discrete functions without loss of predictive performance, (ii) defining novel network architectures to effectively learn discrete functions that solve multi-class classification problems, and (iii) experiments that demonstrate $\partial \mathbb{B}$ nets compete with existing approaches in terms of predictive performance yet yield considerably smaller models. This paper examines related work (section \ref{sec:related-work}), (ii) etc. @@ -68,10 +68,30 @@ \section{Introduction} \label{fig:main-idea} \end{figure} - \section{Related work}\label{sec:related-work} -todo: can Tsetlin machines be chained in differentiable architectures? +Methods to learn complex, discrete boolean functions can be broadly categorized as either non-differentiable or differentiable. + +Non-differentiable approaches include boolean-valued decision trees \citep{BreiFrieStonOlsh84}, random forests \citep{598994} and genetic programming \citep{koza1992genetic}. Tsetlin machines \cite{granmo18} represent propositional formulae by collections of Tsetlin Automata with integer weights that learn by positive and negative feedback. Tsetlin Machines are not end-to-end differentiable because feedback mechanism uses a hard threshold function. + +These models can be highly interpretable but can fail to capture complex relationships between inputs and outputs. + +Differentiable approaches include differentiable Inductive Logic Programming \citep{10.5555/3241691.3241692} learns first-order logic rules using gradient descent. Neural Logic Machines \citep{dong2018neural} also learn first-order logic rules. First-order logic is more expressive than propositional logic. However, don't scale to large problem instances. + +These approaches also aim to learn discrete functions while maintaining end-to-end differentiability. + +Binarization reduces model size and computation cost while attempting to maintain accuracy by reducing real-valued weights and activations to binary values. The binarized neurons typically implement boolean majority and therefore the entire network is a boolean function. For example, BinaryConnect \citep{10.5555/2969442.2969588} optimizes a continuous relaxation of binary weights during training. However, training is relatively difficult because binary weights are intrinsically not differentiable. Binarization tends to reduce accuracy due to the loss of information \citep{QIN2020107281}. So research has focussed on avoiding accuracy loss (e.g. XNOR-Net \citep{10.1007/978-3-319-46493-0_32} employs a real-valued scaling factor to improve accuracy). + +LUTNet \citep{9026948} + +We don't aim to learn fuzzy logic, but hard logic. See \cite{VANKRIEKEN2022103602} for comparable approaches to activation functions that represent logical operations (Godel, product etc.) + +\cite{DBLP:phd/basesearch/Payani20} for an example of similar but not hard-equivalent activations. + +In summary, while there has been significant research in the area of binary-valued neural networks and boolean functions, there is still much to be explored in terms of developing models that can learn complex boolean functions while maintaining high predictive accuracy. + +In this paper, we propose a new kind of neural network that is end-to-end differentiable, yet learns an arbitrarily complex, discrete boolean function without losing predictive accuracy. We require a separate full-precision copy of the weights for efficient training. Avoids need for feature engineering required by direct boolean function learning methods. + \section{$\partial\mathbb{B}$ nets} @@ -270,6 +290,8 @@ \subsection{Differentiable majority} \end{equation*} which is hard-equivalent to $\operatorname{Maj}({\bf x})$ (see proposition \ref{prop:majority}). Note that $\partial\!\operatorname{Maj}$ is differentiable almost everywhere and gradient-rich (see figure \ref{fig:majority-plot}). If $\operatorname{sort}$ is quicksort then the the average time-complexity of $\partial\!\operatorname{Maj}$ is $\mathcal{O}(n\log{}n)$, which makes $\partial\!\operatorname{Maj}$ more expensive than $\partial_{\neg}$, $\partial_{\wedge}$, $\partial_{\vee}$ and $\partial_{\Rightarrow}$ at training time. However, in the hard $\partial\mathbb{B}$ net we efficiently implement $\operatorname{Maj}$ as a discrete program that simply checks if the majority of bits are high. +TODO: compare to \cite{NEURIPS2019_d8c24ca8} + \subsection{Differentiable counting} A boolean counting function $f({\bf x})$ has the value $1$ if a counting predicate, $c({\bf x})$, holds over its $n$ inputs. For example, $\partial\!\operatorname{Maj}({\bf x})$ is a boolean counting function where $c({\bf x}) := |\{x_{i} : x_{i} = 1 \}| \geq \lceil \frac{n}{2} \rceil$. We aim to construct a differentiable analogue of $\operatorname{count}({\bf x}, k)$ where $c({\bf x}) := |\{x_{i} : x_{i} = 1 \}| = k$ (i.e. `exactly $k$ high'). This is useful for multiclass classification problems where we interpret $k$ as a class prediction. @@ -321,14 +343,14 @@ \subsection{Boolean logic layers} \end{equation*} where ${\bf x}$ is a soft-bit input vector, ${\bf W}$ is a weight matrix and $n$ is the layer width. -A $\partial_{\wedge}\!\operatorname{Neuron}$ learns to logically $\wedge$ a subset of the elements of its input vector: +A $\partial_{\wedge}\!\operatorname{Neuron}$ learns to logically $\wedge$ a subset of its input vector: \begin{equation*} \begin{aligned} \partial_{\wedge}\!\operatorname{Neuron}: [0,1]^{n} \times [0,1]^{n} &\to [0,1], \\ ({\bf w}, {\bf x}) &\mapsto \min(\partial_{\Rightarrow}\!(w_{1}, x_{1}), \dots, \partial_{\Rightarrow}\!(w_{n}, x_{n}))\text{,} \end{aligned} \end{equation*} -where ${\bf w}$ is a weight vector. A $\partial_{\wedge}\!\operatorname{Neuron}$ maps $n$ inputs to a single soft-bit output. A $\partial_{\wedge}\!\operatorname{Layer}$ of $n$ neurons then maps $m$ inputs to $n$ outputs, where each output is the logical $\wedge$ of some subset of the input vector. In other words, a $\partial_{\wedge}\!\operatorname{Layer}$ of width $n$ can learn up to $n$ different conjunctions of subsets of its input. +where ${\bf w}$ is a weight vector. Each $\partial_{\Rightarrow}(w_{i},x_{i})$ learns to include or exclude $x_{i}$ from the conjunction depending on weight $w_{i}$. For example, if $w_{i}>0.5$ then $x_{i}$ affects the value of the conjunction because $\partial_{\Rightarrow}(w_{i},x_{i})$ passes-through a soft-bit that is high if $x_{i}$ is high, and low otherwise; but if $w_{i} \leq 0.5$ then $x_{i}$ does not affect the conjunction because $\partial_{\Rightarrow}(w_{i},x_{i})$ always passes-through a high soft-bit. A $\partial_{\wedge}\!\operatorname{Layer}$ of width $n$ learns up to $n$ different conjunctions of subsets of its input (of whatever size). A $\partial_{\vee}\!\operatorname{Neuron}$ is defined similarly: \begin{equation*} @@ -337,7 +359,7 @@ \subsection{Boolean logic layers} ({\bf w}, {\bf x}) &\mapsto \max(\partial_{\wedge}\!(w_{1}, x_{1}), \dots, \partial_{\wedge}\!(w_{n}, x_{n}))\text{.} \end{aligned} \end{equation*} -In consequence, a $\partial_{\vee}\!\operatorname{Layer}$ of width $n$ can learn up to $n$ different disjunctions of subsets of its input. +Each $\partial_{\wedge}(w_{i},x_{i})$ learns to include or exclude $x_{i}$ from the disjunction depending on weight $w_{i}$. For example, if $w_{i}>0.5$ then $x_{i}$ affects the value of the conjunction because $\partial_{\wedge}(w_{i},x_{i})$ passes-through a soft-bit that is high if $x_{i}$ is high, and low otherwise; but if $w_{i} \leq 0.5$ then $x_{i}$ does not affect the conjunction because $\partial_{\Rightarrow}(w_{i},x_{i})$ always passes-through a low soft-bit. A $\partial_{\vee}\!\operatorname{Layer}$ of width $n$ learns up to $n$ different disjunctions of subsets of its input (of whatever size). We compose $\partial_{\neg}$, $\partial_{\wedge}$ and $\partial_{\vee}$ layers to learn boolean formulae of arbitrary width and depth. @@ -370,13 +392,17 @@ \subsection{Classification layers} \end{equation*} At train time $\partial\!\operatorname{dropout}$ randomly negates soft-bit values with probability $p$. At test time, and in the hard net, $\partial\!\operatorname{dropout}$ is a $\operatorname{nop}$. +\section{Implementation} + +The $\partial\mathbb{B}$ net library is open-source and available at {\small \url{https://github.com/Z80coder/db-nets}}. + \section{Experiments} \subsection{Hardening} \subsection{Binary Iris} -\begin{figure}[t] +\begin{figure}[t!] \centering \includegraphics[width=1.0\textwidth]{binary-iris-architecture.png} \caption{{\em A $\partial\mathbb{B}$ net for the binary Iris problem}. The net concatenates the soft-bit input, ${\bf x}$ (length 16), with its negation, ${\bf 1 - x}$, and supplies the resulting vector (length 32) to a $\partial_{\wedge}\!\operatorname{Layer}$ (width 59), a $\partial\!\operatorname{dropout}$ layer for improved generalisation, a $\partial\!\operatorname{count-hot}$ layer that generates a 1-hot vector (width 60) that is reduced by $\operatorname{max}$ to a 1-hot vector of 3 classification bits. A final $\partial\!\operatorname{harden}$ ensures the loss function is a function of hard bits. The net's weights, once hardened, consume $236$ bytes.} @@ -385,7 +411,7 @@ \subsection{Binary Iris} The Iris dataset has 150 examples with 4 inputs (sepal length and width, and petal length and width), and 3 labels ({\em setosa}, {\em versicolour}, and {\em virginica}). We use the binary version of the Iris dataset \citep{binary-iris-dataset} where each input float is represented by 4 bits. We perform 1000 experiments, each with a different random seed. Each experiment randomly partitions the data into 20\% training and 80\% test sets. -We initialize the network described in figure \ref{fig:binary-iris-architecture} using the XX policy and train for 1000 epochs with the RAdam optimizer \citep{Liu2020On} and softmax cross-entropy loss. We measure the accuracy of the final net to avoid hand-picking the best configuration. Table \ref{tab:binary-iris-results} compares the $\delta\mathbb{B}$ net against other classifiers \citep{granmo18}. Naive Bayes performs the worst. The Tsetlin machine performs best on this problem, with the $\partial\mathbb{B}$ net second, notably beating a standard multilayer neural network. +We initialize the network, described in figure \ref{fig:binary-iris-architecture}, with all weights $w_{i} = 0.3$ and train for 1000 epochs with the RAdam optimizer \citep{Liu2020On} and softmax cross-entropy loss. We measure the accuracy of the final net to avoid hand-picking the best configuration. Table \ref{tab:binary-iris-results} compares the $\delta\mathbb{B}$ net against other classifiers \citep{granmo18}. Naive Bayes performs the worst. The Tsetlin machine performs best on this problem, with the $\partial\mathbb{B}$ net second. \begin{table}[t] \centering @@ -399,14 +425,14 @@ \subsection{Binary Iris} \multicolumn{1}{|l|}{SVM} & \multicolumn{1}{l|}{93.6 +/- 0.3} & \multicolumn{1}{l|}{86.7} & \multicolumn{1}{l|}{100.0} & \multicolumn{1}{l|}{76.7} & \multicolumn{1}{l|}{100.0} \\ \hline \multicolumn{1}{|l|}{naive Bayes} & \multicolumn{1}{l|}{91.6 +/- 0.3} & \multicolumn{1}{l|}{83.3} & \multicolumn{1}{l|}{96.7} & \multicolumn{1}{l|}{70.0} & \multicolumn{1}{l|}{100.0} \\ \hline \end{tabular} - \caption{{\em Ranked binary iris results}} + \caption{{\em Ranked binary Iris results}} \label{tab:binary-iris-results} \end{table} \subsection{Noisy XOR} -\begin{figure}[t] +\begin{figure}[t!] \centering \includegraphics[width=1.0\textwidth]{noisy-xor-architecture.png} \caption{{\em A $\partial\mathbb{B}$ net for the noisy xor problem}. The net concatenates the soft-bit input, ${\bf x}$ (length 12), with its negation, ${\bf 1 - x}$, and supplies the resulting vector (length 24) to a $\partial_{\wedge}\!\!\operatorname{Layer}$ (width 32), $\partial_{\vee}\!\!\operatorname{Layer}$ (width 32), $\partial_{\neg} \!\operatorname{Layer}$ (width 16), and a final $\partial\!\operatorname{Maj}$ to produce a single soft-bit $y \in [0,1]$ (to predict odd parity) and its negation $1-y$ (to predict even parity). The net's weights, once hardened, consume $288$ bytes.} @@ -415,7 +441,9 @@ \subsection{Noisy XOR} The noisy XOR dataset \citep{noisy-xor-dataset} is an adversarial parity problem with noisy non-informative features. The dataset consists of 10K examples with 12 boolean inputs and a target label (where 0 = odd and 1 = even) that is a XOR function of 2 inputs. The remaining 10 inputs are entirely random. We train on 50\% of the data where, additionally, 40\% of the labels are inverted. -We randomly initialize the network described in figure \ref{fig:noisy-xor-architecture} using the XX policy and then trained for 2000 epochs with the RAdam optimizer and softmax cross-entropy loss. We measure the accuracy of the final net on the test data to avoid hand-picking the best configuration. Table \ref{tab:noisy-xor-results} compares the $\partial\mathbb{B}$ net against other classifiers \citep{granmo18}. The high noise causes logistic regression and naive Bayes to randomly guess. The SVM hardly performs better. In constrast, the multilayer neural network, Tsetlin machine \citep{granmo18}, and $\partial\mathbb{B}$ net all successfully learn the underlying XOR signal. The Tsetlin machine performs best on this problem, with the $\partial\mathbb{B}$ net second. +We initialize the network described in figure \ref{fig:noisy-xor-architecture} with random weights distributed close to the hard threshold at $1/2$ (i.e. in the $\partial_{\wedge}\!\operatorname{Layer}$, $w_{i} = 0.501 \times b + 0.3 \times (1-b)$ where $b \sim \operatorname{Bernoulli}(0.01)$; in the $\partial_{\vee}\!\operatorname{Layer}$, $w_{i} = 0.7 \times b + 0.499 \times (1-b)$ where $b \sim \operatorname{Bernoulli}(0.99)$); and in the $\partial_{\neg}\!\operatorname{Layer}$, $w_{i} \sim \operatorname{Uniform}(0.499, 0.501)$. We train for 2000 epochs with the RAdam optimizer and softmax cross-entropy loss. + +We measure the accuracy of the final net on the test data to avoid hand-picking the best configuration. Table \ref{tab:noisy-xor-results} compares the $\partial\mathbb{B}$ net against other classifiers \citep{granmo18}. The high noise causes logistic regression and naive Bayes to randomly guess. The SVM hardly performs better. In constrast, the multilayer neural network, Tsetlin machine, and $\partial\mathbb{B}$ net all successfully learn the underlying XOR signal. The Tsetlin machine performs best on this problem, with the $\partial\mathbb{B}$ net second. \begin{table}[t] diff --git a/docs/noisy-xor-architecture.png b/docs/noisy-xor-architecture.png index c7afd158eb9f1ac987a6c01b751fea6c9245906e..2c595b0b76e50a64a7e0ca54f3d3e483448b7839 100644 GIT binary patch literal 31980 zcmeFZWmuGJ*FJ7+Wuqcnk*<c4P81qy}9_X zH`Ed2Rhu3tixh|pu4g+XJ*DHJ%R8Ruf873^>HmvAZ=hZE&_tXzdRBut?0y!bj;yX5 z|LVsqoIRQu8I2UF&k}FvD%kH3t%F9mSXh5#k_z8)$^P)ARZwr1CgL8N2}zX29lf&W zO{`PVPHrE^3?{L5ZhtFYMNe6L!ar%ZD?wkw$zh zNq~>NA=_Vd*=f)4R#VkjvvqJ7Cl^eJ6y@*!Qx&cEblY+d*VbxW+nT{={yt}>mB;rL zm3(-C1#L8c)2`QQ-3%;VysdK0ab4dst*qNVZXMQ+>?$7D?fkSulS3l1{yIu_Skh&A z>tGjC5+#Yh6F!xsCi%wLO(JjQeFWG0zBKEO?N5r$)z>+%S2Q2Zm*$0e@zdDSeLUJ% z#B*cu)5YTy+y)%83BLQv)6>(VL(`)Ql$RVuwPYzNDZSS_B1qj$c84}a6pgy!OHF9g z5^q<0QKtMr$CWEr{A>)QMenL|ccWvsp>q%ToVqR-Cg0maKv`aguXsg&YLzO#k16giJW7-F)y)&9a`Jm3(Y}**KbYYt$eP!yOTJaB} z?BM2-5=%*v&IPgs^nBwk1NMljK%F8x|4_`)dYu@<1`DBt!$}|ln zqNL=-Q(mI*@*Gt6lk9Ax&l*fM5WOxZ{O?O+>*B_sV)mj)q3vr->>c=p>Jz*g4|S(c^kF&s9^Y(|9y={*2nIK zUR|w7!Zle&0aX=a9|65t$CTvE#f>VljUAsE|7tNsdi^p@6u(A{`on#@()J7BG*>xH zNbD@GXMKC(iGgcEHcV5 zcfz^$M@L-ew0~jEdiJj?j_M;ZKHw_MSsPcf}GcQ4fpUF+xkKf z=U%Nbjk z^IUfJeZ4c+bPMqTvL1Wn379Oaff-*>8-j1`Aq^n=EKB*`Vvynz1qao^hIflILWb6^ zMNqv|y%#EqeU2#p@MX93@db$DrRVgbRC;p3=-5OT^ajjj3FVn)H~6^LwnC?2^jx0^ zcwe%VTRkS?IMYi7 zypN$AZzTwq+TNO!5q0IyS?G*V!W0Q@Eyn0FI?xCX+UJx_8_$6LXySv0O3t0!z; zW35yxL%V!Zxr#k&C|l6bLJ7R@&2X6TQ>gP(5A$Vs$H-cR9rCjz>Y&E9JGt^)LLN&? zw3tQ6wv3Q<594fy5aERMeq@VFr^up^#7)qp8Yhvsb+?vvXC|(>#fcCM%29UWw}q}# zGtqTqDEdi$@SFoW@mb9?Gq4Q>?oAg9v!PHh^>AwBk*ttS;rQjgnws0$ zPJ|UZ`Q~Uy^_D%Kt1p|-LuP-5F@aV(5OlDA49LV?EWA35yMb_N>_>6 z|Hq0cMab-tgO`wQu(b|FDcne#;(1a8Z2R=>CV}uY+9Xo-0D$ zTsEW^{`-njr^+Yo6D|@H>7F2YV48V{%?9dsX?x)dF}N*U>>}HPP_7#t!iqFFO>j|J zxc}ngCt&qNjS;lT|F>lSw`BikW&b}on7`GPI!t08P++PLs`Tu?o`RN2{a0>FN<~NK znk=2e^WC);ZfN*9T0w>8mX=Sx2m4S}zr%3%Z(iux2}N#$YRw#jwS|lvsEMJ^_NT>i zbat=rmjP_|>A+t&rb|S0_O}$BbX8R^H!%8E7TS%Jn`f$}Dy?A=%IE=_yZEBo=l|kQ ziNlE)y&en}TB;%DYMwniA%dSvnodpd=~jl^m`}LC`frZ*jo0pKLw>J@u9*N_U0t2m zbx~{Yp`qMC(2enbITp_*(lfHxxHMiQ9N)ptPsYvY?YVz>a(t~#Xmsws9Q*5qv)bg8 zlr5bf@0c}(Us=PWb6N(ibMz5g%SC+#(Bji!J|q7=juVQIj(G9u=_tc?nuDd1QPajZ zOehOa51jengI@%XXD28#bV}_%GGrUCO*J_#<~1ygpFWKE{}wj+PphRUggre;1Z_`{ ztTy+W@BT#HVI_PBwf=3rO>Wrq=PpPN@_KIAhz|&LOEN3`TVSexqR35h?-!A){zDiH zH8XH!hWyu&kQV*kT@ZfIn9f`M>)(8b=)u3ROitO{+Z>HjNs{qEx=7EydeMS z{N)rIn>{+q8~IfcLs}mg&~C`^OsjSOU)pdQ>?zVvVIlPMw*Y5FzAQ1b9+>hke?o4l zuxQ^#-)3S68*fV=sp2H@YiQ!)mqE*Dx!1GRk2P=`apAQe`vUc-B@vp7vi#$7Lo!z< zPFn`P{q2`nDKmB?tAmCSh62eO98c=hzJVDvtXA-otLEBjELXwrcuoBBxM;MKAo+qf zPY*D1Rqr~ov$H$U43(eDore!XrT&YDcaXt^hb0Z5^H(gp5?^c*;k)m1_ePu~k`&S( z6+{YU1hz5%62>LliR#X3pAG6zW484E^frIr8v{1gM|GrQKAbU5~_vwB!0$Sy{igR zI95LM*3O6%r*Nh{1EY9_`bn>`UoN8+QR<$L#nKxe4uCc}xO?B~Qfld%2MGxNdhV`* zB~@{&S^$7IeI~hSE-n`=!1^ywv=$r^mT#LoVO*v?rw6rs z3nSB3>uY{(RPXPhm05AxeO3Ts#|I6jZ-*8oFxasCat|6`Z^Lkw0<7SNKI6ZzBXw~` z%)fTk8m)>*wchuH^l0Ivc$T5|S?qI}FaI*K&@6NY4*{(AYPN|XIk85}zup-=s8)54 zAFGHW<_faq-|r473h6$)+Z?(1?{_m4F?=Rcbc`|Zig(K{ii-c^#xHk|1@;I{igblO zlUG8VwJVNKAv*bMmu`ya!+IJK0i!tAJQ3l>ye&*^-FK6-Ht*M zLvNfs9N6d2`CPezy<{hTZHF8d&s|mk~TmLdNFDrdrQu99#lRnKa zMreKLjX!^Bw{ovh$PV0x+uwhr9l4FXEY5W7U!IxFa+{NSaX9_V7k!yS^Iwns+QYEd z>u&b?ojIJo*4bI@oL;}<|7^JqUrt>MwHe5tZk=g^9T=%bzo?&>n2@}F{d%>{U?DpS zwpXiTBj;_YrlH|_uflc796+SK#~N>(BKvyUX*i9VVn~;InN;&GYD6zJxcvwWMvx zreY4gpwoDUy|8-J2_|TZZ~5rYQ2w|(S)SLTosO6`kb*OObJW*xxoT%w8l73tPFG>z zW4a~A%3@z!Qk6-h`2=OoOak}^RVw-RW@Z;fHh)g{50&6m|Cw@*x~q92Htp1=yySc0rO z_k4EA{(VyXKeGbg-fLv(WLeWDN`p{fAJcr*eKyYRp0sqGQ1RP)`n0Q8!9L6*08akG z9Z1O?d6gH6of~a#Zl0k6>rNb`nKiWVmHb0VhnyeaYFu*taOC21eE;knOv>Fb`|~71 z!(;prDvk$xn}*$GPP60Xf)fsSbC~VMorkn2s|~Ofr$Bg&nw$8Yi6k|coN=XL7OMFY zC3v)i$L+MSaV{?6UuFN%dX+`JcQ%&#vUE#6jrtzI5ppu}Ui+nqi4&v+Yu33e!GfPY zeL9=ydT;&pm)TGlzh!>sikreK%p!z7mB?BO0t-70$P~?*5#%KHL+C#q#dzo9A-jq+ zuwwCuyE0wJPoCzm9Vy2Vm)Adcnpm#D?5BNuF22!!GGR$vl~Vq9ODg6pKdcew+!Aj$ z$c@JCQ5nT06M6q5@>xkPsHd^s6*g%^eHJFuUXcN4AVcO!xV{Vx zfkZs+RsSf60ZaUkF#zyw4Oat!$q~y=oVMzgz6hB1)J)$#KbH?BO^3E9(usO~_S}?X z5gPx`&=4?CPAqmGSP#c=l`pL$Rb!s`uUD)+!*N49iT=^b0MBI-@{Ob?IgsUfCQXHw z#oX6-KY!oxrNAp#t=K=ZUj5j5x&YeG^1v{(1+w$wbBHvbp;!+se5O$cDS|v9{_*KQ znjWAC|Ms}Kc1e%lbty>1q1~dt`ewoAzMlTC=AFF%&@d=XPFaf>3Jc-~Ig}P@cCJAt z5$!MHoFb$(tn_J&bJ+7Yc&A((llc3SKOZhGuKM)fKOBm?`uB&=WEtvKpovNT(O~TX z=Q$%cd`q!h?zY_Cm%6CVOc%AuvLB0%n{q|VLvxS+SId^hNUJ5;<5%|J!Gqjyi6t#^ z`OfpI?ANYY&7C(RMe~dI|1CInec#5P%q9%=p4s7~z&tp1xJhSpF!Tmx48JAsK_GWk z=a3mow4`rUp;fO{UUptQe;!wEaW|R9g`d_e>-?SZ{Xqx+ZB`3+XwdDpcpdiTEc;<-r>;Deq4h;#Vxk3u&(`=T?j^N!igE&%I28NE5=An7 z0sRqbPySa>PFC$n6IRsmI3>MkQemO<*C)qM zR{1QXrAD?#^U3BIdYBQ)s9my*O@LjfO!nMdu6Ca594D`6jdNxqNlwFASigvW!z^nH z$05hh*pZ8X5NNto)K{fOS$gKfxb!5N=x0m_nfuN?|0Jdf=JcW8ZPXiHsayD%se#TZ zs1nVoZLECZ!Eu?a_q`;yBiGFxhyV5;R4?6!zcyFV`01mZHJ!^HW zLOTKBhx?G$wiehF!N!ejp}RuCq4g&~48HwP=)wujcOAKlL-{oa)G=5Yc99uhsR8^z^B%$*R7cLX01q%YR zm6Vx&J5ye|nBNjvWH*98rEeszJt8`qEHS!BWL;#{yU^AiCw5>LrEK0F%RcJ09&CWE z^fQC*Z_iG*@^$E`s;I1H*dif3`+}7pD&$9YNP}9Ie z`sF$5%NaRU<(rCZy|oGHn2YGx7s@7b*z#2zu9gb zFP!q+th<=z+;NMVXB1~YD2GuL(wpm3%PTr@W zThd|fh-)Ji$%%jQ|yik`R-K z%&7N0l9%{PYc|55Hvs169NkBcvfU3vs&`w%85{@S`Az2uVO-;r;5!53j$gA zy3;&m%X}8Ev^%X`IV^O7*-dYb(u#~7V{VI~78(DIxxl=vql?SHW@@z|7>j`f>Z1gse09NFDu_|TrDck59ioJh0x#K)T z*1c%qeVcR!Y~b_|r|a*Td|V5Y4Wjcd z41-iTq)tzWVW{T&IvRH{6^Jz^Fw+Qo0r+MRY@WVLd~PLTDvfeh7=d2vN@Hvs-IP>q zhG{%cStXR94>5#eNvnJ1OZhzs zY+CC(WI|?Jk2}}jz*WIfA^Ku=%I2yiV=wffkS3!S-qzz0-p1l4BcV|IH-!E3WL^IV z!&yg&3Pfeb9!D-^qG?O!Pko{ug;?vGa<))qn1{>5HN5}wbGa5D4{OgXdWw+YyFW&L zgaNJYbwXY?7A${&wJ zH=WkaM(clA_^7$;98a`klb5~NX8De-p(@G{tsLkij z2a8-3dJw@C{${Wftvn^ASl;+<_O#>Z~0I^#WB>}^fG(Ky|{u8Bc@^{iqb4b*ad=h6K&{)+PiL#1L2 z75mj2-FYU8lUMytQ)}n5?39@_q@*Y&ELSN}DR7H50nx(R(mH0JW$%FJ!I{91>t*Hlz z-N^T`fp?fDEL2`L;7L1c&`Xpm-%>I=Y@c6(8lU5$F>+rsYw#ekFPLeIt&dWKOnm{P z-IzB?woqnf^o@n?4p^jl;vRXBO7u5^L^Po#MJQZ2Sf^^lcZ?W?vD(qcx70?A;zCv? ztlCSZyO?C-7U-AYE?7R)h0*48jqb7`nzdcAv$1`|exL6gxyjW)H>fQgGi4Za|v-8)4uTn36!}`GF>CMxJpU z%Yl>^ZemFl@nw1Du}4D()KCATZ1q+^*CmMP zb@^QTnE5J4N8S`<+s8`+KcD>J!!53|eFh61s&9_yF97wwXZBgGC6#PMd198#hRd8R zsDS@EX9%oF{laS;kK^bOX?X0Mowwkm!~KYIZp`a%vu@UtzDNmZ?)gK{ z?LEfOo#K6+`k?)>1q~f^X8^@`O7Dx+aHc01E-7KS9g?&aO4MbmGHx__mHmxe6;$k8 zg1kOAVW?LV{8rnSWT7oFZ!PG1>%`siVwo9zP#*ifD7+NV!DX*pwg1}+uLH>1tYe*Z z1>ogu4(&>-_%TPiZ)+CWy= z?$};QN;&VAQp-fiI4y3mMB;frqnNWFD{~eM)1ul(MyK$`+DfgA&%sDsmC@5M9Fk8} z_0iP9eyAekH^TA`VIV|u9*8s4f{wS_`jJCR*I+hf@V+UH&^C9B#dh^^e>r30k3rs6 zk?W$ye-H#S1j~?GnTk-pS7J9}3g|_s>ezq6lA;wiv>Nmczi8q-$6r#HpS za~52bxk|U4Ekx;@QRAo!hBy5cA<2Z}=Cc+MmaVUb9)3w%j$o45spygsP`m;|Jst;( zxdFn1T;DPrK1xY5Le^fYpd>MCg(;}A9ducVdDQP(6oPU(&ET1`PGfwbC3TJU2p=Pak%~n05>;`ywmG-uW0%{fvwMGrAnJ%UXZIz~W)TjW!k6Itv!vyrJ4V0jR3= zHwWbR9ZY?Xutp8*cdT)FdI&-*vaY}^OK&zc15=ZIj&rJEA%y1@A-D>~kG(#k5YkA# zJ1D*5ewoa;KbvS3v(73kOgy??3t;D%Hv;mGeq-)Br;g^mK7+XFR%?HE5^gTN7iR63 z+H&G06;h%iIEXwWA3!m18NvQ9auu$waJ+xm_ImKmefNd*HmzkVF*m`ruSCnc#ys#? z7TQ#mr2PPbChULN&g>@+$UQKI>!G@&oqpF34@44Vn3KMuxFlF6EOWqu1hWH_4g=ee zA$en!k95!pAIG7HJ`Y)sl3@=u2)#JEoGh-7I8aN1AdmwVh;ook*Iw*tYAhb2vF!fV zC^$qlKfvd*n$E5k)EaL)wJ{W2Xk!WZf?y8q2@tLB(*LDx`(NUxoOA$A)|yuQ>D0U0 zEYi8JX0w>xopK!)5v;ftiFu>={ zpYE%*EgN`JZ?AXsP$^k*aSC*2YJ;VU?nt;P(yOHuGgYNQ^(}wCQ@%6?m6p@7Zg=OQ zA%k9cIBJ{L9xM`jwA*JlfYo zMbQr|4b;bj{G~Zc2=cm)i`QmbxMwh|W;QG0gs8G{M{ty)kz*m!f=OTalH&vb!C-+oX6~r@K`3J-!SJ#4E!u?5n zDpebT^gBZcwQTy1K_#d-*J&e*7>do6EGu>Pq2=OFe4HHM?MG(gim@||Pz>@qfQu=5 z4qB$wUrfD)21u?Y7hrvB9sbDNN(D6q9_)RXP&{pC7SWA@)|8Tln zjSSK5;&Qj^Jdtf!qtgV>?Qm+AkWktTmxS_V4HnZ6x>M$suXbGrZt^GGcg8z2S1g%N zeI**PwD0-c^A2`^<7N(|tU%OWK6EI8@RbD^V>lYZI2-hfMG(tuKucY`##LaDNW^C! zQ~3E+$M!M_$TyE?Pa%=MI`^ZzXl(|(0b?|UIp}t znBW{Hb~amH5%-Bs{w-Ar9Pwz4Lc{=wB@APZy|AP>fRpi$o;R zvGcAdHU14K9k1Eu;Gm6y6?S>|+Ay6%?U4e=C8oWNk%8z)?jwZ}I6n!{X1SdW8N0H& z#zg65YF*TtavHl}BDj7M*q;qYhUR$JHkFzY>!nPPT`}m)atYC;9 zS7`D7o^Hq1-H+r5D}ADK=FFMMIlyj_z|Tt)k|YJbZ=$zJ!yh3Ck$@sPR=lU z#d1M}n{iZdvB79X%=$>jdAE2Xhp-HEgTZD0a|4=#Zgy-0*ff@KK$)(V@MF-T4q@rp z`oWpSF=1-TiX#Oj#fa$YeNkMQ;c!DqVNYX>HBB^6t+zqdVa}1ALaB%@7F%Lc=hSIZ zVT-*!d9W@yD{|ctOO^wsK+oNF?V8zol~@a3j?dCfw!{2uHFbV(%#YL*W?Q`KHU5Iq zbgD5-AXIaPfa9VJplM#XUd?tiQWI2N6nHnpo1+Mldob;L_wLQii~fDuU&~8?D@jhk zNkVS~1FE6UTE>t?cd;~}Z}*YN^=mK>O_$|@ZP9r8io&RTRx?!L#KdKcReOe`v+(0Q zuWRece&YA9*0Hy18dxTqG(4QtdSGOlRTQ+Cd#71ZNMC|vLQqy{)Mlzfa-^?0b$*(8 z03-rbl~Z_6)1vcnm7@cLXxj;aLJR$ydf8>T3uV)&CdVd{&E{yzk*kD^rrcFozn7sy z@}OBP7Q8@<>zxqKK0h3g#xiXZvrTLXZ$IAgN8W7j-QU|0%h5GNr z*Q$mk!`+SYY}C=By^Y?LMJ2id^{w&BI&cZ7o;v)F%+Kf@uT=zq#*L7I1;1R z3}Maj!um@`FTMnRaU(gh`fyW|`@fUYgd zEiK(r(5GW^`PldAXo`JV-XQ)62$Oq1Ez%4AUXb(zp5(Al&xv+S`Jk#^ya75O5G;HIu)YiTNGe_#G=9}|I-_hug3eZIb#12RXJrp?& zs<{S0`M!-KqGZ^yB_YWMeAVRnT2OvP`#h zo}-OZpOOE$ao@WLB8*~CP95TXEwq$E=-!N|O+snhELZ^f26RDTcw#gZ9a4Q$TAU%M)Hp~)>Qmm4 zLqwTqjMh)-L8bKORBUaq3bLF!P-}|H$T{eMo#hQ*729GmKQoir8p3n%Y zFjcnuLuqo(e+N@t9kmIJbyj>CnMErRG4FiC^3 zou1W^EZ*-;RR<;PPYVl|$+iRA>G z_JrCr&U#N0osCrPHu;bwudh6IJ3?o6#T+e!K0QAlOvs~}h&y~IMqrySHYr6BiGPBo zl0Gso(*d`XCSeG=Mvw%dq=s>c;Iu#m& z#1+KnEeHoEF`lQo@ukJH^*s;Dgs!(PE5LsB+Rdtk^o+{+Pzn5JKFFPK*6Db;$tQli zrHWVWB<1BEzX5zc??Nr(iOT4Zle*fHB_Tp~h@Dv6Vo<{tgm+)dE|!NveMM$s;b?(m z73mG&=bNY9;${^>pUqE06zs7Z5b98FzBJ$AW4rqf$t)4kti7-JDF`$>bEra=llM+J zm|CR1Kf{d@9nu!}p!!ET_#GysCU45|*rzuh2A>KhtOVfHaXt`w4Gc|FJ!MPw$s9KH z`<|>n?(@~JC~quyQ}2g8&tG-sQQ2vXQ z(GNFZ^Tf}m$Ux1XJ*i49OUUeI2(R!9OQ8t-od6m>n86#5GdGm-YMku9U0xV_hz#Xr z5L487Pq#TE-d%YOM}0*Qo^e+V?Hu79nAhq;E2}BNHvnPvI}P$aPh77Jl=c`6U|3#< zzIYf>);^B)j1_V6s@F0B$HmxjEYAW8G(v(y_0bfk@)ku`PCu(w7iPYdFri1X|I$Qs z!&umsTK2_IO6vGS{6a?8BgR*{d1Kcl^4|_%<84%Bp{o+dcD}%at7Q?f^=l{>_r_z>q6Mvbu3Dg8zW34Z-ZC1gm$aC`cHO>s5(q3(g7Egwude^D zO7}TyKI`OmcU6nPi0*CGL%Vyoco9cexlV!>JGg+xS>$ zIb_fr^R}gknZYH+UmxTWhSK(NB*PRA0pyee+82a*1NR0=<{P$T&!7^?O{MIDxR#?Ow`Mf6e#_K`U9!+4!VAMIYjyK?!nu-cbp z=>FHS5+iX!AXDUKbmmE8b{3Aqo{F%N;r$v`#7M$zI_7=PO-eVPd_PG0B+x{aUzWK%))j4$@EI$Eb7g5QWu4wS3nSHL}73MnOUVuA`*g7yx1EhD&)CymR$0B2imCWi#1-$P$vx5Enmb{-9*F=u=@9j^Y z_?}$Le;Bi&rkl=cXRwgm^1zETk=zE%)4e{|V0nFVLA%V)^L3l0_og^m88mH>V{ex* z3Ja2xz~c+%RAFi|)uJ_7lp)#2A-kyDjW(*joafMUHKJzJ9qtO1Gqiz*ox0iKmxaF{I=?3k@7(7<>4Rx@-9GhO5 zBcCO^70Yc`7FBj$N-yUaz3^7@EdNic((lopkG)~b?ZeH`1pTW+bR zQyuikN8Klb7rfBZZ`svi!PMsau53RYi0EVj!8*Fn`N6-WLm()aYqSeW~D5 zd-D21pOFgg(Xm8n_lVbl-UJ2{J{96rxr4JS#Nl~YruN`@UuPMaKuxa0!|wgv`hiuV z^VzC+NCcFRXtg3+LYfh>jD?aoKo;sxfMi-2!jK(eWjg8|yqN13#$9z|ZLvVcyv;Fz zmX(nF8QC}AR64uYncN;;);7p1zI1ys8)9z{g_;0X))-eu>J!$bTzRczSWG(wzMXaR zU|G4{sfHDV@0=6D^bDJ=dp-CVZ6EdR;(C4Gbm@ZEIL`HA>(VRZe5@|@Qmk6Co0=wD zba<@@e6;ZG#lEH2PY}Y{uWg_K#v3fp3Hm8k+~~tyl|Q?PAPn{{>U2#ZcR{s}!nS6Ag7PuOWt$nK}nvEkRDvH2ZWjr!R5E`!l zxG#%!Y-V2rS*mC%|2lT2zh+T>?vLs%@QHV0@|{=p%03} z=Nt=hq!Ihf>9E4wvRSE?oX3MM!AhzRA5ICth1Yb&eE_8uyIu1LO5Nm`Ye8JJr2r`~ zPjku0@0QzKZh@g}OBB6FE6c(#)o!ySep*$FjRAGQSImU?j%1i8XmG}$4u*CfV0H|w zajPLG(AzaeP!D-QrODE3RX~fQYGAOONee1W`E?Y!jh3l#GjPUT&^;CBvB$sXB=2Li z!Q%YNaID&yQ>X9^kbNx3=YuA8k%?E#mGpnusWPx^QM0<-{e$u=)9UdAT>~4Jn8F(Y zYEdmP!LVmFCq#U=EKyY1GeIeoql`N_Pf?s4~Co=*L2<^hg zJB;68=d_*>KaUpo%Ci}8APWTMkq#1^_4AIg4)xRqNrB8&?t2PAT56h+RlF9@=dDh6tEMD`K9zHOK+#_+jzmD>~q_MNmOM4?&WSL0AOfgDI1bRT7`cZ4U*2a~tPKR>@37%I811r*5!1?xH{ z!2(ms5lZ1ee;$*URf5t1UsB)`&&WykrLa4GE3plOq(YiN~1t z)FmE-3BB8l#VBI>Kf(DRTHn^pOygN{+s7$bN*ml*3DD%LpW05pnv%RYQW3*dk<2ja zT_Oen^s{fLe)x16s)AXvjHfKZKJlPd#DS-bC{jdBXj`!@}gc`CH`8c z7;IWG7a@#a0(C8}K7F@1n}RmM-fBOZ0c`ylg6G~M4p{~na$b8#CXn(vf*vbCE!@X( zR7LDZM{gRkbS2~60wmi(X+iO$TLtS#@{2Y*c!hgQNd3kerk#7*5xj?-@Q1HEa_i}5 zAcJ-X{R4oC~G$LAy(kv<6CjQ`5~6wNXk6 znr*C_8^8|j;%Of?uCTgTa}7t7tKmxRKp-BtqeeMn-RI*{Hk%ifAA_v4wL9mZgkSJIS;@+ui?ahkD}r^3%Dv%bB#m$m&LB?>jhz zWq*{39lU9^U~f^C`#DPJnhF(mdQPnFel}A%UV{lJhvJ8+F z(~<|KR1d#spu3E?t+ctr|%`P8SO@6 zIS~c;d-&O~Ilm+ZLs(B%>gnhnMjUSjAojX4mMb10wMzWg8yGeh=|L%ccH5X2o+r|4pU7lvgf>LUC>u1Xd9&Gs-4b*TnE~Ld{%P0={nl=k1}yq>9j?; z9LktL9lkr21B0{koq17%qe4J-~2vB-L=&h%QouUj&uUQd3ltAo;*x7Po zY*FKGcc@Rg3{U`p)6uhiepb7vNGZ1+&<}`L)pLu)O=1(25p2pETpH?!Ehz|PN&RK` zrh#~qCP9Mo4U}Ha!b)}cA`24pqZg}2xg3|?2gc1l*XF1=szO<1g{E* zO%G!M_~Kzyk0`ZQS5e8cf$!NJ@~-O`4*PgAb3(;u3xV|kgqh>mQzE1;e+#~d<}&DX zNfG&)EYa-vD*l#NQZX1BZFfJR22Z+u28jB?wLmq>xIn)_P=G|Ph`v0Nm59DNbQsqf z+`e9G4vjtv+NIGxoFgJ}*6p_7~v zrq0~A2%55vIx7OmK^EkSamSw)F>S2s&T^xiC1J`0^}bC-0!wa~5*0`&UdwGaFv`>i z^Eq}($;1da^@+G|3@m$X^THJf<`?)ZijWM!DKw05159-L`nnmkOzsGhf$w0c zYH3|1U`emFCN@;RzT3#OnS|q%T(l4*{^mx%Nj^xz-Ax|9k_1tG)`jMpfo`uRC4Ht^ zCL&9}hhNoqAwrxf_}Nh}M;>U`tC<6c#dM6FNUo!(LIko;DBuvCAJi2bvP+7|t5q5t z^$7NgHek&ss3y53O2mwxh20^o^X38WaG_%}-dDnoJ&MM9kiVA>-PhzlKg~k0SgktC z)`nQ;r`Sb!d_lFfhKlz3o)x`l(|yL>h1LX8M9W=*?W$jJoBv`x;PDv?L7X}JLn$=2o>N?bLSwSbzKtmpu;SDArxd0PqdV187AfE}Ud%0!%=4fHa zE}%4;xIAq!aSO5A!*K`2aYFP6EPAR1%NsFGK$48U!*VT=18BNML_?!XA2sM)*mkn$ z5LA8mHfDddVcB}R7P|(F7qBEs(D}2}&I=E;okpe)Dl;f#T?lxE7ks~GjZm|A!^fQy zz40XiBAW9KOy$nuR94Go(?~&o)##9LvfBu77|N^h|1ZH_dK;8S%4#Z zh?{O^MUrN@>A=z~S%fqMJa3=4bExe2?kVt*()J^Y$nXd*5g7&#@3-qWh39r_;j?>7 zZ$@G*ftf5G>26zfDT=JjOjnGUbKo-)IfLivRXf^jUanh02LOBr@fz0)3k$^(&Q1^}s07}5CZor3+jNfh0l8xI$uQVNM0~*zGsCU3;YN}l!e9V|k-jq!gN{>{%^q6Z2A3yz;PthL0i zZJ(Ih{R#T%nh`8Ya+RbE9Y)>m{*a)^oG?V_!Xj7|!(EpK)n^Tv>&-jjmu^-wr5Fy8 z+8bZj8#_Z;UUMp^v3d2n=WVaQZ!DG|W=Z8Zn8pl=P4HF2Ak|@f%0E>Ib8&nPjh~`u zsD(RSKq~FLWMztXcB{Ja3VhUqWmpkXgc#jdsaM?TypYP1;55(axS7N)y8c{>AO!d- z1h-!vE<(bS|5JZw?b?8V6 zrM1>fbOR-R=we?NlAeT#(|i)aILCU8-UXJf+| zSR*-gSsA^tVS2uMxY4XC{KBXZ1hp#yx@{iPKc5ORXgCzcADs-xnhFyuE>m?qRSw1L z&2Y?6F@%%+U0Wqaw=nx{LAF>|v=GN5>H=ovn}kFJonweHEwqfl4}#p+ZY1auMG6Bc zmC+Oo0yt8mA7{kD%1KH}stsCl*&zo>D=U5!4ds5uRS6YKRawT-yzHD5>En9I)?T3u z;u3g32XAKFeNq=l*>WXHFF!dw-O3pBEm4&JdD~GcNApmod+3^Oco4V+m)uJ2vY==O zSghB49%}OXveHQUTtX_t99*UH@waG@$6aX2I4sdUA503lCqSJV7YQ9s@(;5G4C6ts zrVJFvo4-9H6UpU5$lzTMVbWpBR9&K^?+FDMx#;l~{c>FRdQRmXf|}7yVAhw;D;5yR zgmVKbZ&1fq^7>N?zlk$_8~Yuz73YT9u71ptR1eC*4m^dD*REf8_!jpD`mrzdu!?vT zfGhXX&~TUB1|5BP1Nc7VIs>Cujbvp5*=U8~HC_HFoS^;?VaYuXD{+9EU-_C=zxvT% zHS}Oxnc2(?s0GDwRGMz}Sa!8TURu#i={5?x?AE`E!YsY@)t?mKZ&^NglhPK`LI?}u zGLwPKaN{!W912jg0P+^irwrgLnZ(FqD;+8kdRh0R{uPY~J1<|Jo4wIJWN@xSl>*CQ z44c~H9-hha6VBRxN(tGlPuEdzj`2pm3BZhUlfoTS-wN4I1kZcaUXC;*d{qpvBzImW z(=_mPD2P{0NA^svPO61=NJ`?iMh{#GOAHe50Ade>XXiK@_*xBHocBABe7|llHRNU> z6I9>pk*FV0kW1SX5aaw5@Aa_(a)f47k{c>k*BX@NRRZ{Fx`T9GQ zrVJInfA8M?XI?r5~h`s0?{HzfRCT`^S=QNYceuxA*n)a`8~XS z{DkJHFXpfngm9#aZiraU=mEB@W@jYMzTOOF*_PolH?@e)uAX!_WZ@;kgAu|q+CZXV z^P7$iV_uc9{(Z$3AvH$O{b#SASa$pzqr`3r=m#VMZA3tp>HjzP;QZ~mbwPHgSA8#= zyDYQy<4J#&PjYu8nj4fD!U)vfp%{%eEGcsxVR#2P zlCK0&iT*X7@ySrh;vHCbhjZNj80L?!%>9sPZoyDihIkA_U{rFuW|q)5(&Rm9=nzlI zO2{{I=W*0@^K};t>9*@GjCp~t_k~}%NNNANz;=of^g;iW>Kq<|#3_PSBO?o?;kr|ir8?Bt#HF}N8+a{U#r(hat~0F3Y+K_vBV&W(ARo1f&llqLd&-AfaSbq!$4pKnOuv0)Yfl2!wXO zP#ous_x`&-?tSFfN5b>%y;phHyY^mtF?(K6Sp!sSuirKhn(lQBs+CCRk{!)F@2p=K z{#>8E3JZ_>nNO-Jq5i|wNI{7!P!}esGdy=KXh1^!&+$(3_<9Jq^e_fUSSl%W^)j7F z)9v@IPpsaN__;hs4aN zX>X80zWPr6L%WFbdW+aRK6-4G`xp6pcs9nGf%E6-3kM!({``m-W%-&6KSv z{3vM2>&s@_x2=&OBd^u#Jn-}J>uuOC26O&|8BeY)xDu( zhu=Rv_H**ZUovHkK2dhrgqof1&L}yxJvd9@hYOo}8*je38J&OabU;n%9fxNmHX1E| z;2^=t60hUKs${a4?1{*o5Wjt`5MGsextU*-p4_(g5hXeg+LKLK%`v27fsm#huUCI{ zJ2|H5Cyo5me7g5I+5}>kq-k82X;pu+TCT;!V@oc^^^JIBiZS>n+V9mUKa199qG4xL zWb<>?W(S;b#dYbW2J;g{m@8)tqf`8Sg0Qr8aX(r=QzN_iVw2_GDx6D*bDAu*U3l_) z(6ioLZu-iTJQN2tN%t7I0J)vCjjNJw-(H`{Iq+K)jV{j{G37rxyj!gUuk{YIj48cT z`1}TEEF5^TI2E*S-nN-+e#ip?LV ziL<1J5S=hh=2YU5|WlWHegFdBfNE**Az28HgedLZAXaQZoki`IgoquC|}OUlXHuUEVIa{piU10#r&#WqsGC31_{pzo`{Jc12^Td~^2^eLbo* z8-6CtKhFe{0?ay295~E#Ywn}QSxr*69q1@jl8P8m=;Y6RNc(HHQ?#WX5f8U)oR(P? zzlVSKysUdi==WMr3)1^zfq6f@*lcvvmJ!6*0_`tY9@1mo-vyhVEDUxkoo&@#n%^|G@lhq&&#klE&ovdc0{6K~(pxRcbd z^fH+kiP9K}@)!wxj6|ia)mO)Aii0@}ifFl^%i0ftN_Iwv)CQJO(WtIemD$}IqrG8c zZT@byV6kg4?(zNZwGlO`{+EaNJSWY23$teZzhuiX=BZOl+G_b2;i<%o__~OS(MuXG zWx6ECu6asGP*-Ht{4QYXQL6&bxX!v}z=}6ubsMnu7}DQ<#WNHwaFbE&zAc6h$W#zN zQW>X`u=0_-+{_)T7OXKeZX_}5Vxp#+Z>FKVcX7)#k-<9YVjexOL~l!pdx)(xWbi;8 z&Z`VO8MRjvuc%?M5Q}qiH{^FcxZj?k-fep+KWBuiKGgx zjsm6q5d$f=Ow|swq<7rO)GO8cy4W>|X=By1`D7FQ4h3p-&<)aWj8|aHU1C415Qlcp z=BnH{2zP5hE-zARmfBY2yqgrQM96%8yaX;uOWha9v-LY|JdirK+5j91X-_`7fkVOb z-W@C%D_O3v)?l~+fHzzH&pGMicZm+>Szo>-4Lo*vkM>Bl0bMshrJ`aJ>d;Y&cbN+&V#86IdLynwwuUh4&m% zsyglqq4r^5&}YsLT6?Q(4AvB88RyYz#12f-?W)sj_{#egAKUW=vlt`W4RL2J_BuAA z)1eXCOF6ORXW3X4o`b_7ecgfn?!@RQ=y-Ijd;HJELGUK#kYj+&P;G>VMFcXM6gN7Uy<3DbZurLQSK^ zARi2|v8fKiRll^XPqb~@5_IHCjIyGV3{l1YWF)f2kr858pg`_+A3T&*4?|nv2j@DN zQ;l=v>%(p3PD`_>##K#W#Jye(1TGNq@L_Sn~0gKxq*upgo-k-KyxekJKOE-VyX@EV!Fw ze+@V!V2J3=T?d*n@UomR*Jz^d2CW|hZVp=hJz_1D(dc@`mnN?>5bOorUbUo~dnr|eHXcPQMI4ZW%YrG@A>`)BJ zFtR9J{&D@Vr;}z(aKykx*;QOrd_<8`q$bo)$1!K|c`3-*UTj8228T)V?=&L=y_?9u z{s)I#>8T5TW$+~=JETr+@fqER2=L)$Hc=J_2C_V7nmrAGdwyNK#Uf5-o5Rw!mfVLr z-VT8yBZ&uJ=ZPq1{TtS znjBPSP_Whl^srKecT&ajtR&-&4ZC^i%o=Ex{d~fdeIp5O+yp};Ji{q8%n{}#6m3Va zgyq08q9Y>9$;TG;-V?}%e61XyaR^|CiA%0}gsy9J-kh8LMHr+{q|6ayO^B(L6Rg*w z_O|$`V336}xtqB?T|?RBbq;e!=x%s_4!fs8&E#UV#H+sBxiwIFe0ia>)j&0GKyfoG zw#@h%H}%sa8H^b;O0Ke9do((sKY=$Fa@1!@w9n#sQBk8;#nN@yh^Pe=W{&P%?ETQe zFK^$7*2iR^9sw4Rz@+ThctHHEtXhyyxuBjD*ugW;B81}cS{gTNe$?>lJ6@o_tdPDS z=Dy``?zZQQi1fUom7UeFQo5fb$?JY7<04*KLuy(RHUyU?_jnMFETMc{uV#5pc9Dak zF3MnR)@)k|y$l&DB`Ns|OP8}wz}t_&!2>K-JZ~(HGKKu~pk^niTh&wvUyn-r7qGU3 zs8&4m>meLpxtjMV&rj&2-w0hm1plzw#5p#5{H`3 z>?Dg7OC-06T^RAD0})v9nB*I5aZ8G3r<8BaE-%V_9EVAvM1nNTDbUmsl==0@FYW(K zgQ6OV(Dfk_<21U(ySHE}Y&mwGw?w$P9CX+N8DVXlW)mDyc`pv7Eif71!_COE8&q!ONU_`N zN{9C6$)%Nn>_1K$^TGRPQ5oj|J|>&jew0vl6f^$f(n`TpX{cKZ3@Cl}rlWh?`_Vlp zVO)6l1z6LP@{={60fK8V#0HohtRL7K8rmW%z39vI1{#{cfFsSqWNnyt#X=)S!v{Fe z_GY(e_`nwMx0Ya=Jim;A28$a+&?rO@8-DcU=qW}UG_5h4h9!MmP4{5AIm^o(cN$N(VW5erMFsudS zJ$YhfD8P$Quz)7O>*Ep<5>P~5sJ?E~lJ}T4V@5&(cb~9A$s!O}w8rEBvi!Tw2?2Ng zfm-AT+{wTL{c0)>n#9vY^E-y#KjfOx&j}bn-ep(UQBnb68DAaZXVMyjnn7Boivfgo z-wbFq7-t)v2bp9Fcya>e_f2xofmb3f5nEQn!1FpCZUYey0HJms78)yY}S&Z_PmM@CedWDY)ZA zfF~V~%e2_*%#gTX3zqLwd#BPC&8BTOXk8EU^)rA@DImT~V=e&FRG$rQT;l^!gusy$ zX^+(>EtYzqe(SroO1d}ldTH`#j*Xcn~my#w)PR2zew`aQut274^xc+pV z<0d(7B_U$q^9Hw;!FfKdEG?aNC*z@ZccDxk^wgy%(Hl-)T@tfHAlrXR^xo5BpO+WpaZpkK3P6_Nx|R+8KwV?cLg#OMc9Z#z z3#t)+qlp_r5DI_$*$!A)aV~oSw*o{TAB}>30Hvap)c z{@q%H4sZK^DzNFEt5>d+!`WkrGf(Q8Q?-eJXDJiiBlvVulhFH5YZ#G9#mS=nW<jOvy2od?f)dU{gZlGHtMO)oixO)D=BP#UPr zy{9q~H$3Mblf00Vl$4bA_)~H=bFMMh+{wTFyy~y|x9{B9j}?6oFk6tDyD%7j6l^ zqTU(L8$gf+HIaNSz3eG^Wf^TEyl{%_B-0tKovsS*j8)%q48UG zCxFi4yigG-{s&;=z7!Vxy8GkD68575XP@ubd+a)@kJ{lPt_yP=QOQErF`uIeyk{%C zrmaHfYCaFNvEB`E5)%5?UtYZ-;|=u-37z^2*WB0PX2ZmQf996)7f`L^$3~L8SxD&L ze<9DeL01{aH}S5LiEoCqMqR$S%xbdn4II9K!?!2{{q!xKu5PdYUt|vP=J0^0lDBIt zo{@@JMWevxf}%sIf(&oehRg z^vc1_5~M54^z;Ycg;}Pl-jB>fV-t^)y*Riw!b@#oA)z1Nx9FebzM`(aXlNzMzXhbO z`wW;+i-i3notJgMinfaVq;dB;t6WJpz^P}#$w`~ZGIo0v&24LI15^2;i$h?4s=$~} z1`Wn9rFA<;&NU=dpZL|-%&g@SAR4J^Zg&H7bxJ|M76rZA85@n~^h}jBF^D_${hvwR zaak&+Rtw|xHlJ7sTU%SpsQ4(80vxsphI#03YiGrd7G(eS5ICGQU{(8JSC()|hY+=W*jtM&f z#U-7-s(zJeiVCch^mZZ3ILy+>a~9**5+Y+xU%lEu+AhH&J31Lx_=CKkD7?%y3Ha!m zc|IMLoXXGAt**8g)hP0Y-|7w`R>0q7nVErhv^xk)|JD$(x@zHJU}ZG4>2%#B;ps~p z@rr|LU*fOz2O2t8KYp2g2-j}6J z;nhDX0%dAA>nu)^$(Y`}i>i~TW|5oVKvXwSZY3{g$Z(u^1<9-RbsB&W9#}Lx-l^R` z&#_0)#jptHHq6AtzWGamLPC#BD33lNSPwFnvBFX|$Pw*IDEYR;wJTOZmI>iq{E!_K zkdLV&@qSdE9!qMVw${b>?AaoMl6dY_J3BjGPeKSoZKa*6e>^kFfB(FQ&sm=I${p_k z8VP?zNa&tUZ${yF;&|{Wn7tJJWxSMVvekG}Zm!Al zOq0{0f_g;jM4<%YS!`~BdAx@D!R>(@qeEo@AyBKdvB!;#IXn?9&Yab}t`i72BCu@3 zcW`OFC9ewInItg*id;N(AK1=iynOM(`c>B-if${kN$}$E)8y8>M7_H&C4W1QNwH~N z?qs9O?|kqkRb92YihEIt9Xma4ln}y|L7M01neLgags>LNeH$q5%|`v61--khIrWL7 zlN$Yx6etMh2vc1>3+#$|@mhAS*duAHxOg1cyReJUy4km%T2#18XRnn!8{XI6~mf8MfIHU-it5i>qhMuLHi&zqmap1B_UU!EcDq5uE@ literal 32025 zcmeFZWmJ@F-#)C{t!x8P5D-vMDG>ps88P$`k2I|ih?VTggD zbAS5YAG@uGLY%Lh-|K1V%no4m2@ z?nx%@SI)G*^mdr4b$aJI#+*JcddNOnnV&~#wlrX`s5*e-*Tr6%CZ&*XX zF`F#&M>bjpfmt+jZ%(+%=;}@c?=0narge(q+KO>=osqY4p?I@s5vLU$6&-i{9EV2H zE;0*q+A$uraL@MbGCT~ohJ!6s*rW;U9N>}(R}YFZ}}OG_}Y+RTB5*ax#Q*Xo19rXYxivsP=Sk9c3{_}bI#C<3yURow4@BloX?AyhW{L zR?#?F`ax4?r%umYP8d3VA5F&YKylHD!DHf>&~($Y2=Hc3b`Epyuhy}QV2r;pR+W@& zmR7p&z=9>Y2ciURCU2lN_w_J?n$%QJi`rXTcZ@p4%PaWy5hVIflEr0cz6r^pik*h4 z$OyjOCZhp$9~o{v4a_cMFmLwWez{s!tXRy74+HIxg9^?VH#LO>*g! zJJ?kmUFx=Hh~5mcKxlQ&w8s?JG&+^Ep9eO6)Y^uyGHRDM!7(@C!=SCCuI|^#M7211 zPcpG$w*t#mHUU?3u#?Kz*gPr)x9I8;$*3wk`~JC1Vufh_<|~r6OQR#*UoLak!Ocbn zcMVF~l_Ix~dwKCV4!UGRw08`md&j$5#P%wxGw9y)si{AIUJ!WpJ<+%L(jFq9cvyk} zBw<=u%ynZIk(@kjqV?kKAQdS#Cs&25kMweTn+MwQV;@&KA*0=v{W7N-JL=Pf`Jt>dvRrD6WzL`5pWt<{AJz6~R5evq-|(5>mjaHw*-+|p z*>R9Sev}?Me|2HFklpAbDWm1u+S)Ac3}hLxJ2sb{rStSaB-WJuGPlgJ#ECuZ9wFAr zfl(@BjzaOGXwWDu=T7qBeY;J56)So~%9 zo)5j9`s_?}Vg%P*rtj+sp1P|^Ic6WFE9p-P(h0F6#sG&cIPMyK2$oQ5%_n~(x8q$pnk;02K znhu&Qi!BZIs_>ci=)LQRBbsJ3B&>BXa z8Dr5O+-7MQEm1MW_VYGrm{bjS_uf%OVN$wGgup2NO@UU`)TMYKVjAI=`t|W z0f^hC&e*(B;P%ug1theGCFQg|7+rg$4u9g|UmF?dOow{hGVTY9EDPJKZ8X&t$9sdB zHYT_##uRHpa{tHhUi)ZQV#r3}Pdwb#3tf|8GGcBGp>W;m-7TXKE97ShPHl_ig1+5U z@Oy!=yc(;!7~J9SHRn@H*Y@N|*w2FD{n32Mm;AF7b(Ep9-0uAOG_|Dtw;I$lGjo~9 zkBxDZ>?$#oWk3ElM`vZ{xBL1xER{%^Zc-t2>FnH`-C;m8d-Y=j6p|$OC}}WV`e!$O zr~S~R>Z1_Q3x9I(piB>U`tY*RpQ@)Hm6;d+#(*sBxQxse|!_z`#g+#JULV|sBc zf!plh!^TTXCwcFLHk?_@0c%ESL# zvj1DM|Fg3HA2{aqhG2$lpPtR>FhzrJ2|c{44})^B$klMM|y!yvBt z=+UEO#YA!Flg$4rR=xgBo(t`f6v!W1jE1(-X_Q!hTq?&_&PaS6TJKT!|3&z^AjRNr z|Ikk3`Ew@YME4?I2)aTKu2t^1R&$zbKC<6$+STXezlA`iV2S;b0+a4fpSrzVTwK-& zRR>zI{Vn6Yb@i}aTHTs|iF&^`Q|q{06*Q-> zVf1NeojyU?(DBzPACvkDPxnkp9?P2Ob}dOVa1CxIIXC8%0~L0 z^lGSlpvRCQKNXne`~0$UNRNRbb>t^~K0oj^kk8L_P3eo3|Mfg(3JUi1v~)kA*0qf; zCp@*||MhH?Jcj}m3t@(C7Enm(4AsIwwoYLM9;tyx^_}X|C#SG?kADjJm*2n`d0=E4 z8dIGP_6S@D)p5D*+w0wsXY8Ta)8fTeVY?px_WZ0e=FZgK>m{-QZP&~Tl$1h&mP#iE z*U=`IDa@US4>RN&wTH6E$2d!T$gbQrLkL=ba|pvP>$zuF4Bnjlr5SxmMc_ru z6IM$Xjss{SfN-n~_}y$lOB%C?uOcKl=zg)CD$CVuI&ke*{Ux{H}Z!eKg zk?ZrZUwT;6@K#M(3T+rDoS(bTxS5PTAwwSh<<8a_9>d%dGnwpNKU=7sM1nc;%OOqL zdOL*E^RAjgi;H3KfBp7aIR4_{Z%^VXPQ&RIjvxJX`_RKyuy10SLLIfqix^kHJcQnQ z@yqE-3yWo9=c}2%w-a9Onc0igFMn+y3!0_~WipoUtp(eK*p^Obl3)9d%$x%z0eZ{# zurqruY9yvccH-?Xy-n@@GfXFoO@y80VbgS{z8h)0{^I4YZHn)bS^Q^`XWtutzXoIq z@&xqmoqu^IAm?nCC)@YdtngMnG>87ozu1&_HavE*`oduYIj%0)y8ZIs9tr)Bfvf33gxp#GaPP3QSFS-JN7r8*`So0Wr+`b%-~A3$z~8XL z1u)e|eqP83zIfg83?N6sracX zyb~ycB`tOJGUr71jV*_^sM~AZQVh+C5_=bJRPC&YxJ(5K7}UKzpHc3BDH`O5;Fi8X zvdpiVGmpVM4u(G5_0&-moOm-6#;O>xg`1NdRIPL?bz5s@<%X`$&%|054Y`$T!K^mL zSeUFGiz`2p47^4g+tC8>2LAd$wYbYu{O2Ad)Ai}0zdo&i)ox?2qQo+9jP6E)>&jLu zf29P9yr_>agqL<0i!F$E99|f3!OhBW+7NSMZXlMt7JK{ZE89YcxAdB)p$zS&pgGSu z<*jz`k;MJy&9|N$NNW7Wq}^-LJjTNEhMa=7)6#4l99jmlY`ul&gLhAm(pFfncS{|V z>D8ZVe%KH|gL4It<}4j7_~gleVtDytb>Rm>XWR*ZC1t!I!^A?njDPO#4fZP|TNxS< zM87GEU2{^9u$ke`#xi68yve_K47S5yR|p{5w~Rrm>Z+=O &UNEhRPZ@!ceA1LQs zuZ->`R(X`;5f3F)2L?{N)%|RTzm@dn8+W4Pg&ouj4VuZ*LfV*Dx2Ae}dL-J*=3e;H zarpWBN6rp2x0@eJl*rPl+UF*&UZq{QLj^tjcLZdX7l1`2XC*Z{`#i;en%bR5hAfLm zQ?+dBDHSN9{Wq3TPD%ic@9gGlh_fSrS~#2O+9m6+M>j37>1ERQq?b#^hIPo4U!%DW zjX{&dJu?jdA^4{*MeoEvVqKeu4}lT7^j@^GQ6#=u3pRQae|6Dq!cD2i`Q zFGBH)^4$-~@0m3UAW88rnCJJn)9wPC$DymsZ-~M(=EYAv0jyJjX)mRY+p1UZo!L)z zvuz=HdE9OzeoW1+tr{gSs(s|hqD`V*n`aL0MZ)i5E@ zF4mv!c(BOv?t+HCrHB89P(0kdsH2&gQ7^89 z4P|Bc|2)vkL+V04zlyOB0dsrO$t0dQtjhKIub;S@tw!kf6d(U-Z3mDp8z!?4ELu!g zla1E%I{G{@cd%hXq{Kd^i5Ypt>MZuZdv@f-Ki565M?K<{$=JP+n9 z1PYS#Jr3gxJ@=GnR@HUB+TjDC`MV!h8zU|8FaFDi-CJ1oZ*-kT{`qqFi2=3j9?!y` zI+r!TCnx`0b-YlAumYLU%O4|$pAgX)8~CpucIkq~(6=4=v1O{HYnfx}BADZaKQ-9@ zeD~LBSrepi`l?*lj)8(Fz}ow#wJ|Qx9IBtXl)~V;yzrl9>`sd}NGesBQbCtQ|t8>fRM7B>cT`jY*bm?&;7bTQZ0 z*UN&ayt9n!l&CV>-`#@lwA{#0$&TohIM7_Fz;(Qj7jfDzl#k_y3_Dn*ola*ag;%M{ z;$NQ;vYd-|I;&#MH{B!4^)*Yh8hzX zHc1+_zgzf10@Di3q2Y1Wp(Uy)jT7!YqKD8VQw~GW@|xtV?-9lZGGZyl1GbNn zT>2Jk36+|!F{`!@i|YGQ^tY*giv3Om02}?z67VC=OD(?Efo(mM47$VyK&^6u7~o$c z-3g;A^e)rq$GAKib}+<|_yg<vdsy*c^0Av{eK55{N(F@yj%V)6Yfve>c zhKnHwK3WpdVy;C*uqqphtQJOWFJ^FCkAHoil9Ez2WVFXQ1*ttP99xG7HjmBxD|-L0 zhMb(`jB6J#{QB}}-u^bmb&O=EJZBv{rqdyexv3e?w&5fn&2Je4Q!A`?B`#Hf9hui8Tr~GX@y+pL zVw#r3Wc02u6vQj?-TK`#}=j61#WZ=@)(`s`X0^O&-y!!Qq{>Z2AKNcs( zk$?cp^LsH{&9a|#&WIJ_0huzuC{AbS8;`LTi}FA49&wG<-1$nmhP4@J3WG?Di*i|f zCz(Q+Sv3n=n$i+!qs2#?l4X27=GyHNsrmm&i4lFhkJ5c-<2|Ty=XJ;K66=T?_aPEO zWM(}Njhb4Kd+S$L6>LOOhu{NYtG-G%4LP2wD?0q6Wf^fW7YUcO z_$M8h+84H3&9v4ACkrW9X@xdlFd7=J@RMj1+_LSFku>Ub)S){OhLP#9p)Jf2T1+39 z2BED5FwO zvAXT$Qw$gAE|0EW9yw*|TUe<5?y5o<)d?HrV#0Y>*(Ww3#>JQU!#ouSbvo$X{4}kX zqZ1m*1n+H#*(;h>-PM4IaG3Wr(a}lFU7g#@V?)XV{t=8jrBmG8AitelUcWI&GDxtd ziErQ{4d0Ck%VL_+C2mHKo!Ah`K=MwMITvGg)k>ube?2t4&G)2nuLvf8%y2%FteHi_ zp6j4e29Wy|-cEZP@dyuK{_GK!XiL}9)ef7E9Rt+#c8Gmk!|lk2phk^ibT}TXO)j~< z5rzYGl);HhCh=cLWZv`Uil;Sviyp0FZA{bfiK%0_z#FBz^IR+n%re6AU=@o?k-;_O zbyLwbJse16R;&^jb_sG^mo09+y+`(*Dl=B5yu;FPaPVV?T^{oxA$m#e-b^U7WRUo< zbgj2!hfrfvoY0D00lV@=7eI2mZ(n4)!EIZ8Trz^oDKV0iXeV#77u=Uh2?qX|PB|#W z+@(StozgY$otcG5ak~T(n+QTEyHBg5*oHK3m4+o2p)J9sp%-sI4$^F0NZD(7u9J+= zon{x{72L|x&^CRdq19$hZl2jbFk%p5%5wkFgYGO?+ zY0bL|W*TPAhad||T#oM++nB~pZw<_ev}UZOnIenpLa zN4+Xvf!C_nA9Wrt>r(Mi#!X^9rOgnTm`U32%<^}H5X}2dSd(X^5~3FpRiMfO&xmp$ z7sm!sV^O+4-|{~_df+ZArkKUXlv7Q>J+oY`7`*AU-?ROy42RM}?G{y`F!@Qumwy!P zjHkb|&l6_QBo-olPE3rSP5>VTN$1BB+g^?{a(_$~>hM&pSL1BQWThoSgG<^r)u8~? zmmp+#mdI^Q`v<+xbhWsufgc=+{a`i{%NRdbZ6#vG>53ofry=t{B;kopfUPv2j?xcU z%9YY1&q#kZI(J9Txj#KDL}1K5((5jf2%oTovUX};=|yj4O|CALdNf@oQ;4wRD%a+u zcgq;T4cgD~=~57x^1tiE^fQRPX;DylmY!`;3-0wah=1O{&R^V7ppc7HX>Cy(+x9HH z!=(xer3gz__ubF-*r9gR#-mo+M~H2F#X+&fsHV4sOD1j?FH*Rgklk2&4XI^F?*zsh zUqS-e+m>8g3n;ME=oWl*urH~cCFij+nColEV^o5r06|BA7<4Rl7NsO)6Ki*5V0T}g zDR-(6;9n@rHq7TJ&KTTpsUHmEf=yOPsmf)s$~2l@vQq6+u$E4O<^CrwCU~?*YabiQ zd2&B()v!0#ZoG+HxZHuKC&fR6t5RANWb8TwG`F(xvatbvk*^bcB}_0-y-4iKm=Ky^ zM$mSj_GM#mF?PNk%VYJ#e%F*5YV3-o$9-~YD2Chcn2wp=cfr@DbnLvj+xPJpD9#y! zHtUHL53YT1a#C-PzmR1M{l?(UkDv*EO^+0UzB8yBj?tFWENl{f5UA210k2&j7q*Tm zuqZzWK_uUgbnMuC>nkAJOC?`{q7nNxX-PR{0ku0zj2}*8%rIZ)^(Rh4TXU=tTFw(O zxA_r5zP+Cfd({&6XWP+kgSp1f1H`^f%VAvw#(OYvbHUI>KF~~ueXOOokMOz+FFqSb z%+r(968oD;m!R_>wHuaE#gVYR?aW?cTCI}LtR5Knhh^uTI-v&X@?>H}BG)_eU?yTu zhOXmf*erDSg6TC6t;K1~!+1zHc%?(ILVuUE=R-lAxnHZqRBNih+}9B1=dgX3Pfy~+ zP+BJxg_v`9v&zYXht_AA6p|w3(<-(kusiG6kWS?QEg&X?SnRHscHne<6zH1SjI~w* ze87NPVlNUMZr7myi;`{I?MCUlcVD%|2|eS=qBzX>|FDeC_>CSgQeh39M=m3MOe?MB z{Ht4|Et@^V@?^>&?;E1-Z(qK`p)L@1k|D?@qWUU9dv@>f*WZ<==0xjK1qj69?yvdh zqQXN^R(6rqlXYOYv|yk?fXt=ZVtmiO%V$*=#J;+5~|hn1)-4O^w%Ukr-PRGF{7 zL9_!`9HWX0YBUSs6#Ass$|<7us7m~-m~n4r`J?;@`N8#BD#5%r9cV-#uc_X&FKfW= zs!zGw!c#^K3*F?;O-%=T46*1-b*6oJmRQfAh|m)$+`Id}l=>prqHGJ4zEgHH2Se=E zD%YBadoVym+-P=oFU`5vT=_Gyy&f-}O9)el7jB+z4#R)?pJT4Mik!n=Nw>4^)EODR z{w$7#;|#sacJ&M@;Y=k?&sb>5qrMqUqa*4g4^eorc>tulX!k#}3%hQDgPoXkUd=IN z{`w2%|0P>>qzd#?qgAgn(nqs6iSgFs5~Ot2SSortPbU#&OMgQI(uVWPtaHF-nhIZP zVBC^OWRQY`!Vdw2*PHA$1QdNs?g>s~wHu+eipz|(4QCw^D2N57*z9;y=rh>2S0S&C z1;#nXgot3};?5&GPlge-Vl`vyvw1&#PuCc6Jsej2veXCvkhlMW?KWrd}rW zB)df0k92Hft82@H>^HLw*stU6Q3#0(5FG6M?C42v^r18-_uOh+4& z=kx0$S}n)WpcpR8Ci8E`Gc5=P(&80~s<8iMJEzqzLc|`Cg~HbY@Frp~e+WdXGkj1Df@w-X2i? zkw`^!xs18{8s%z%_p4ex*F!HflajOO!jzO@F%SLCy70Muzx!OY+l-Xyp(ya_6K4t zL1D&64Kef@$$_J{_fJ4HDy;e_J8+8S>%W`!mGpt4Llr{Q#DTcik(g+5K?f$}zME4U zu)ee)&cJVOWH5NkN%YJos>{MBReE>U;uw;9PtZkrWOHw%mM2)F+0U>H1Se1N29@3f zkYmFSWa}@pm99UB>4(01^I9cyXYnpz$P6`j5wRA9Plg9Kg~*zXMg<~160}xC59WDx z9)Wxpx0>_zP%tAE@mLMLt`HX`4(k+?+}?0V3`SA)XBbZhiHsQPo-3RuE{nF{lxJdc zW7dxJlP9?X=K0zQvOlZ%C?Tp&1D;G5Gz}2X$ZilVDnVe~9#URDznvdvs6J9#Y?IGD zDs8Pqg}*%RG$24$Zr{_gt87bDwZFCg#3|l+pWAYm?XW&h}H?Iz(;K(yTKk8)pBdJ z=&267l;Q<10kn{U_oxV(rjwE=9Q_*`{<~~r8!;BsAPaqL6X@`nUJgWP+lOu)D#2b) zenjKxWRKm6pu_*NPFO+hw0^pn2ZfIPo=ne|O!gj=r2=ex$gwV2BQAGQa3M^}u&ypP ze$~SFPb=DL7m$qLuxreidJQ@&PKU;PVvF)0$lrJP{qIG}OUJW=MIsUJ+>tP+MqKeF zdUs&a;2p;yr$$=7s{1RYa{ME1#}?e{&>eaIc-1aWQoWepc0h~R!bPggOx8zX}iZ)|4exiz(2*<)zOKnpg z9PcB-8BeKYfKORoKTHKo$KZ_XS57iJX>fIU$`EZi$ki@+$#qa0UB`)9sz?!t#mz@r zIVF(XZtl;?y*~ra6i8z>GLt`ixU-$G?(wl~o#xL@jw0;2!;*;s0w191tUH;2c(2v5 zyIkzsxi=|ZSzj;7j~;Ali(bJUcCf_0&P3g56m!IMBsn_Hu|vYJhFwRvQ!Q3M!Cf{; zbkzbJ1z-_bAJNcu!)VM24H3hXuY^1n5Q@`7#)Hr>3|uc9M_ zRihxXC>?`iPpCLmbMAcl&5Z5FjctX2f6ka9(`WH6`6H-?PWR!AZ=!i;b@HYXP|$WR zWPSnsqdtx89JRB%Brg4?X#L;`L%cb@z0_gFN5Nljnk%b9}3juEVPXk zqKvT?dIrH_P)W zSad91SYe&X@=0y#(qIUEbx9ymx7xKb#0e zB&Q5+=NG1H-?=9vhEYUPL0{E_qGlG+Nfs8yC9Lc?m{eY1HSma*j}uQjzCl;;KHk-m zYmX%UroJ`;<)Wqf;83c~DEqmdxkFLRaJr2r&>m}*{ET&XGHSC}ii~kC-q>K6moY=R zG@I1(ur3%{uNjcoQ_3oH3AZR*?r;=gw~wKUN=)P$bsFq9cQl6W`s3(__)8O*E~nYR zeaGBzfg>(+@!VD;g4k7ntX4EeJGXKaH=Pw(8t1D#*u#3n6S9I1Yow0l(Q<;Q?;il` zs#inX0Z<+IoA)7*RIp^~t_9)(uB0%LzTkhUme8PDik#cMLadfNAr}|;O3oR(nQsq` zm63lpFo>o5_$!hMZ0AU+UA$rcdF)5fH6Ajo9kG!+?p$V{0l~^eq+E!J>ClO!TMLow z_$w#*8r2h#p5F41@gJz2*P*mMY{Ud=r$h`u)%*xzpHy+MzY~N-5E23|-mck^NFdBa z>a;Y4Fvbt4sDLJwX?7A2u^T>=?8?$vuN}q!OdUZ*EAIOE=Dwzt}$+wwm=zZ+Z8T9T;7wQ>kk)H=QhdhCRBZ>oHXO18Ewpk<)?s{GF1UOd&9$T2}<~o-$^;1 z0fE7)ET`6DfWz`o{v6hECpw7M{>dBoX@vX?z!v(Q1MqBolD3|9aK`?q?>OrXT#4tO z2+9xrzRWFo>_S>1XM3zbq}OR`Xz^C z2O%5f^iZ%q;Mw%fFEj!XrsRsA5lyG^Dwt(1i5de?nJ zU{hJnZd)^vvS|wOH|X^vj5N1JEr)sM3JcEzMT75se?VE|z?qzVaOfj2A_{0!&SU!W z3|k3H8#b>dl9iGph)n301}`LOpK8`qBliv_GmCg`*lUMe8Q#-ka7Fd8Vya|ORuz}d zGT9b=fJB9biNl`r51BCv&A&l^tRR7~T$>87z`XWQugckPXW}$IKtkO-yjwUFSa$PRS!DLvhfnlx4V!`vlJygOhrPw zdH8aNjOn$q8W2dQ>r@V=Mq>$uiV;Gsws(PBWwUHH^|2yJKIdSOUP_^c?R`?i0pT)Y2GT`cR1OBrVn4+qz&7w zCH+cZFn;tj+LAm_S_?F|pT+Qfb^HVQY2`Pm>&h@)$7ZcCzHGtWs&b0^9xw6j;f6<4 zuAF(Ie|L)4OgHbq>wX1R1N4-$22=hH1FuxV+T|vd-`2C~Z!)@W<(~17uBKF-vCt#e z$uD(q4}&33wclkmfAZ7=aOEht`pAPatVn_NesJQT!cQ zZk9bB(PwBuW?c>x$Xm!fZX#$MeO;XDslp<^Pb=1DrfrB#-{Dp7XRl_M@tO5X2$5vS zKU|})<|kpw6MjeBeeHxcX@X`1y(jVv<0!47HN9mQT8)$HZ=WmHtFGE?dTQ3|S}7B^ zP>($-c!J(+S1fjxHwgB&HBzI{j2URO-T_gEPQ*>MNiFn9k)=lI{3m|{pnqDeWXP`C zFT)W7SKska;iD-2eL;$pV5-nRt{l$ahvz}M@w-oV4CNt0o9wI4^EX^aW^d@k*6H*E zl*p^S)k;W(mf!4(p*&qPu|B5ObWPQCA>1joTK{kgd(p!aR|Yzjfd@Kinug?&4?b3Z zwlI?1J?>Ij7@~dd3V;@d89aE`JPsmF=n10(O_!Z6x@_t)_NJwk+o$gg-+GHjejGTz zS$iEORIA1(rg%?iPQ6ONK|=90akW-^=N|b-WTt5Ek(avEJ?mJ@@dpJx-|sk!@uIiv znNbGDmg8+VgUpLr7^cYBHurv4DZOM&F8`Z21H4-v%Ylq$$wlZT9Mf#}CRoO;#SM>x zB@=SpuoyDWMod@ktl;P+4t8&nSEt;|;W$-EtsKJI&Y zegJ0)hm(ehjZ@F}wZ8mxM@gQG)4YMKSs=he;`iDk9bdzBDwlapbtyBC#6%gVw$p5VjlI#8!Bx!>Z8_#=nW1YM?UbIsQAENb1d5bq{Khd&bU-PI^(i#Dadh|s#QtVYN_CNaj`qTS&!8+?+m{!cgM%UBvCV{8Ffon zuEHP6 zg(&voTZk`NriQAB25T%|qyPhiJbz4|`(vMFR+dM?pJ)_FOKJf-G1{i&62Ug+*EGMl zy^*ny+Kl6}Dvc~7z1ybpGT3JP44099gYjz#9$z6+-m-;yJDd8}c9vDX+s4h1hAI(0 z!9aca2RJ{%m#k-L3J&NDewMLF0}>;}dp^LO49Jatw=uef&;I!2Xkvf76;iJ3HSKL1 z%7y~iXgL?^MbEX}P`_qz(A2@tBCxht7=qZ)t&1F7hb+PGrZv4GqjyZ8V+pZ=?!NL= zdvst)Ue$KjExVPgyOGNYTJBvU;6O}C3Y()&lKXoQMyX4>pvegUm3l~|HaE9%(9Xy$ zVsCuZQ+C!yZC*31dGB-{dtf=DIzO}(b1Lo0>5OcT?Ti4I4USUGM>g&~1a_uB z80JXC7PHS*oEW!t9^oOdV^Buz@HLLW^1X0>BTAIUqUC_KYz?*iq@U;WoIv`NhHpaa zxnNyvya%&Ult+mjLn3TDo!1=M*6Iwj1z{Q4mBVzsou}2^+(D(s6D4-?GLh<$+2x~@ zxFEgasY8FO{6>et+yg)ZQdt(GkTa-Hb7+!fmZY??i9L_7O#aX`^yTHlkP{6*3UEFV zn@=GPfxVq^ZSm&QSPy}xswM_)7YTg2w@WKQ&+_DStcjJP=pMQ0b7Zn!Y`Mos2KS5c zLUc-dm=SCSFx@Nzkwh$u&tY}4p4in0ZO@VhV44<_zyi0TVns*EZhL~`|^I8)1!FbG_>mZ0t<%)z4KBG zjl77}pu(wBrz%pZjbW{g!Q%PZAd^ICO68pZd6YxE7nP%{hq}Se(^HCzNp%{~qBwx` zH8q7YgNS(r$t7m1N2Kmc0Yjf9nEKv7m2hxYta|4_GS(i~@f&8qt9p7n6j0mUWYiq$ zOl0DlAJ&&qD#QbApFc|jl_s;(s6(WfBZqYYHWKt@(u-$^cDZ>xH6GHF>>F@dM42np zur;EYEiG>H@=M8J`b_GbQtE6D28PZ#q}O55U)+q+l^(Cd6bb@?HXv>(Z)YJMoKEdr0YGD_=1A#Y+A& zdZRsztW;oc!kmI#x_2rmDJfe`=XRfM$KUR94M-(Y+_E-^ZS+(Qx|SLfK`)Ri7??CR z$^VdmcFkU28Px#dY*svGAky=!u(V_#?F?Vz_SRwTEE8Y7Br|`m>Q1je!EV> zGMvwJ`fx_QNx`JhSatv@KXzSf_MO7ilCjdK@gtnw`jvbeYrTn`v}*Bslm0_PinGEX z@{9KKm#H@DD+-OdYQj!4@*7L5T)c78%*|ZfiAY5x(D2Eu;v+HQ8M9ei*}gm*%daT|F2N4HuCvDv*68yWNSUMJE8M8&5$!Q7gQk}}zaa?duxd||R(_Pllsm&W zm$3vf*A^cJ*t}>l|0E*JA*9Ub(05+vmm9~~NN&AKt??$MYsoA|-vB!M9a*! z!L?@jma53jiHbfZ7~8tlKyqwB&QQ8J31qZ;kX~Z^k93u)1Pi3QzR(7|Hu=faQ^*j^ z2QUDj2(b%hoGHvM+PAo@Yw2}+6qIzUQxq8O$1kQgrvfk8Kb~Bz+BY;f*rPb;>=Xb% z6tN=VCX~D$R*9+0EVWi#bex$g14bE1DkIl6@CCoUHr|`x6N4s6h+~tFEncVB5!pQt zmhx7#>x~kgducaDkY!So^rj;yiWI+{wX<0@Bwx-IJH%>xZR(GzD3uJtg(_4060=+OY7t`(IPm3+MwcW@d$ys@^ zad_P_>)~m}0nIRz0K9pPo~_o@sgAWtYTQ*xEwe9lKnu0DO49>>xXn=7YB>z|D%Pwb zCIgjX45ssY;MgZrty`P1Z=giXNQB>`qjni9ZQw?N^@Xqi4CfD^qCoR zHTm40|CN`Vo4NJ1Rv~;Dx^$J~l5L!(=;qkkq{f(VCuta9_~;q!^ECibiL7%Pb026G;Nt3x zZJmkI4{DaKP^eO|tP@V|^Dd>mMKjxvtO>UvKVyTgl9oPSbsYjFpdb=k8z@L`gs$!D z%%b5I4Q;7>fv|aS7D3mp^O#deD@05u!R6qpu^Q)JlnppM9OAKW*IuVo%5o?K5dkXmm;4}Ure@@wq;*xBQ%zww8cdssvfl4hZISXTanRVl23@p z%B{6pvK3s7neC{IutE|Q%WWH_yLUe>RqVjH*O5Nc{bZ5CohS2&^yjWAwDuav<19jr zOyVuJ720>)lJb^LHq$;GfP<@8$o}!}d?geWC8>0&r7)beF~L1b6o@i9aJ5FZ@!!RE zC6rIJwYT|IG%cpz-477Ohlk9xjt;zOo)!+X2VAmTL?=?y$~38=XYL!!mJmf9Kj+;& z4F#WpOuedx28TlB(H;lx;GU?ge9`MfJlu;TlR>>vwY87?sq2@Pgm-Xa-@0&3CK+&g zIle=PJsdv;cM{)%bWhgSlfvKVA0qH|O4X)idhv4tAjX8|Tw4D_^3E}1%@UHR}^Vp`Sc zHiJ1?VL)GygQ22y{CBzf;S6qx0ETpCn}kFracU!M7Q-jIQ=jv>M0#T}-+bOmCtOp4 zSP$8@U@LjJ_1=Ua2>ee~qtNf{m(8ZpuA>76z0+kt!6(T9ClaD@BM00I;0mS!OH!-S z_8@efa_`s<+C}RJkblX1azMvpd9;jptUeqZS#r?_M~>EF(AdhIj@Y>wkV(Tqc6wCq zxICSnmSBsnB?B9fLw=UmxBQ`|F300m>GmdG*L#a+zRUKn0UFb5bVs{HDTu-Pjs46x3*vadHx^yAIqb(cRxge*RbUpkpi@m+}Edx01rv5CT(+gjEI_Cp0>xKc!#qHO#&5oU&XHAt*S6+l!#;U*W&3-NN~f+XBTqSR zBR|~zB!t9mY2TEqMOH^OJ05ug=vlZfOINgey zCh^8E+^*wg{%;8cP?msSx>brkBxTYC%~4ez9$4k~Gx|~0rQnb^vFZm3e#83B8n4qS z!2E5&wGD#UXLLj(r~NSWu-AWm2m9rfq4et{bilyD)UWT&L zGbQW7F8lbc4!ftL(DH;H_r}p_F99lHpcO@Gfgo%SWycMhXX9B4YGyipF4?|4bMe+4 zP&V>FEVkDdI&kKUAVht9JCZ4K>$( z$ZT!3c}t>s>xRyOamtj$qNP|7>|~-sy+6q5-^bQ#0A(TrE@W%1BIyCQUX-pj(8bU7 zBd2$EjMWyvY0S7uC#vjU{o8yot4IS_#^0!=5dNOc4drhqnra zFt2wcLZ%lp0@pEf(7N-I!j8P$`rbQbw}|A#d&^Av_G zHXEz=F%e)2FJ;PDEOM$(Bzgd@rAp>(4meFp17toe4S{rA>}+g9PpBVAv&=8wAX4no zMQaqD zfGNvmVM`{@tSUtXA&f1Af37xIq!*C5fKDJPc+G4pWaMleg0#=+S$jLxpk1+hG_=i{ z`aQ`qn`br?4Gj$irxc_Mzq5Zo+&8L%u%(OUFR5m^jA$e%(yWMyuf)|N8j0jjOAK!) zM-i&;KL%eiMIJa+V&mJ$8gG!SEyn1v8{!-=6rbz1_#7-c5WR4-UWGt|0nLxyajcfG zTBFD2A58Ro&}EFqFF?@xyp@8zbP+piX1Oaw0YmW#ix=Q7O%u!X2(J)-8*c$>I<#$Q zAU4}OQaH@)Q*p}S*^2Mgz}CDu!5MXh(;T*hcSYnjw6_pNUM)-bJvHuDUSn`yCu*}rAR5rHN~R!6~(zS z7sRl6bQO&=Ji=2jgtI7sdjJA^1<4_11(1~QmVWG07qrmf6&_-y7G?6P^V@6-bGwpF zJKq4@3LK!5)4Fn1>0@!y-^0x*g{ASM9S6&_*s-fwJNR$(NvoDasa}MGqRSe@#!Iyd zKmcUGAgBm)_0XCS#z40XwaEkdSlS_QYysq_Ml$hv0DZ6w#Djckrn}aYVWoI!Zn!9N zrxCH}+bFWUAy7J1-JCbW52ORPhu*^uXVoZw^9L6E;_H$XInR|b3l8Phny;k*OhfIE zAGJ;`yYF*WmekmRrT-2@>hKK7_tF{n<$UBLa3aHgG|!)~IZTrE*+jZUY_%dOZosR4 zS~!%ChybW$@%Ch>0PsnoynHTU0df!i~$K^>}E4dZTvF7-S0iS%A@CB zng3sVS00vh_VsQ0O=V^N#-_{#ohHpGx5{!~Ds#)knx@d)GE>JD7hDPHH*Qm=rWTfK zW@=?hnu3NvVY%j>sG%^L35ZAuf~mm!MQxd;_mB5^pZA~liNC%+7w`ApbIubuZ^it(GceKli=x&Y3pSU;WtniyI0{GiX;&Hx-_RDzT}Lavy1Z zOp(mnQYf&J32E9G6$40TDgPy`wbwco&tW-4nT={~h<7qrx&`#pjednkCSEAt7yLY# zFEd}4tl2da$ou_chka*TsevyLtz7zhY$Zd`M`5^GUch~hK!hS`|J?{B$>E08;}3v@ zYalS#uD+BkE;$7$5JNfOCoC-%FP%7)Q|i~(A$5DOck2wAQJ=-{D)+iq!TuP0ZZ)OXfOx%m8N7poJI&$c?h`q?d7#K})UEyg)8 zXBt{@7c2%MJR0-D6+6QPcyOIV*g4t3RR3Pr?1^@M+RM59Nc%@<{0^_8K-f;W?JZ6I z{4Ue{Ru#FDG3zrKB!;#czWPV~D^yaLWreLLZ)>JfnpIk-m+YWJPOocDjd&s3AlCcQ zex$9QkwZ$ouIB%=8yWK(6KKCmJMM42vy3gNuOIc9=KEZ$*WK{7jvVQ?U668M!ua6z zwlZ_9Sur-6*OrMJ4sC9G!>1_VzkidoJZ1ys6y^M8m4`|XuKSdwAw`Jlv7Uv>u9BEt z9ee#IUm*4-R`=YT+Ww!)K~~vY$-J*!R`N5;uS#BQ?mbae4b1bhyK~qUq2kYG=u;SKV^W>olB>h@L)$5ALeawM3{(Eak-$^dXhsK` zkX1u$?Jt-hY&$%}IL5zv5HdA;GTJ!HOzr6N)S7}$J9*X3O&|h&_ZyQkF=zDH?jGR?hbu%FRC*S{`p`?b{0^Rm*g=k6AXWk8R&e;c;dw5$|1j)x4_ z+ax$nKX%(T%gmS-OS&<-S0qDWMb1~kR@OnOebH1Borx z#E7RMBsB zjQg~@=7^|e0VwyO_w}Op_oDTC(S~P0Uo(r0u<3|0ZIH4IwjbYup#> zz3Y@p%pIX-14not>L@ZUPNQF3nloQH%GU6&ha4OQZag`#b(1ypPz{iLIU(z(uP3Om z{n`@Onuf&F>f9nE<{ z_Cq0mKjM(Qk%lK$dw+mBmMEcsLCuOjh?hL z+0WnA{cyjatlr$AyuRye%GGwYT&3=pV{@ZVJ-I>p(k?;7L>$qic*VF6(^EW-k@ysi z(Y)}?J-%r~Vwt4rEYC+_HekcrV(hKSzPzgw@AsSJEKoJSVvOzfIyi1#$V-LIBoR%K zf)blEyF(Vgw@JJw>o%o=yL}8kCl}=sWeuYAYJ$;P^)E8j*%m24tiaB2x{iOsBqmHw z1yRF&J<%mV>N~Dr%atW0a0w~2)@OeKaruhc+(a@@m1FkL$sxnS)Q`0q_dvEq&6PWlwhTO zV~s&Q5F|hKls3eeOx};<0OxI*UKgLIrF+Yq<;D_zbKj-(;nOh ziHo4zE7QRR_1xxrINYIV9DA#(q1(e{xf*3=UZFNv3ty3*GPE;1)Yx>$e&Fss_3HI3 zM{^_K@DDqZP$iNkk&?1Yy_V(|+Rgn_1v9k(2p&VkGp4g=4Anoa5|9aaIqXX=vbvq$7~i2VPA&>z%KhsLBWE2CUMS&UxC@Eu_} zenVeg?)gR9;)bnS>#{xKVg`XM*4{1yw#8WONF*h3gHGK~4ZwX#{^$t?t!irU$>pKH zae^J9s0);cvM4tKFD?94u!)e~j2*#+EF>2;_srK^)!#%E&&S_GL)Ya(jdm;Z zQoTqrdZIB=Ahq{hL(k0>YT>lq!OuK@Vs5{z2HS%zGx8=;-hCY)a{ob}+@Mz?m7JU$ zQeEh4k~Vf&ZkAFwTSW`^Ih*)7TQEIe_|9V^K3B0ZW}pzm!<_KK_~TRtlte`#&-`9D zT45LOu<3A?(xheklQ=-X)nhxCJ^u7ev&Bx&6z$B11MYyjNH-LMW}1nc>BZd|Jp{Z}t~ad%^q z%myG6wp!Lr8>G6~Y1iir)qSS?WB?ZVutb-~=^%36*$L>}%ryF+fDg`W zXUII5LhtB>#IRVx17&*`$FoFU`|yn-QW$P7n8alFX|O0bE<4Pu!t zg;5kQ8ivB1tL)%dccH^aZ0lE8+7|i8jfEm!8Njoe6Gt19u|m*(ef=ae!LS}sSW0HJ zG&gv?38x{P!j_ca6&9BtQ*F-sfsy$c8AQ<;0}3GHcSO>k4oQin=6DMAnSXYbSfx}H zoCy#7$mb4wlOOOsAT`ujHiv2&c0N|P8ERH@R*c1^lI|{*Cj83;(!nV2?Zo{j~SI+>adw;nBDZS-xlwQzT17>LCn-VN zll;J$zdirLgkGUEB^XzMkGamI`N>LaK^z=9#;)O$*4z66blvF0?%+EabxVA7L*()k zY&?LsI~$DCt*OKZ55Dzs(Gtdth!>u_6=5(Kwl9MC4xdFr`x4});bDgc=>g&qzF^)X zS%qm1R=G|0k@(E2n9Utie+M8zM5j2?y$gyDgNQ+{dxZ3!oCKjq;eo&hTMK+#2{ zUgus%g6^wu39nrdh5XdYQwxo8idTNAvYvYnjFphc3)$IvV$K=C-kGau^yJRr5Untn z3jE3C4a+R5{S*We)jT`kL2Pk9VihqGF@V3W!it20C0h}-U_iR~u|Gh|PoVe8csHxp zkty0Xx*!}rcRs3mIeKL+p! zxj5DLHg)r9L!M1u(7J`0AD4N=_=jDGdH3Mp+8^<46ZyqWpwOY zrh~03JG3qL00u{R)9xXfS^RmEhZ!9x_CgrKMRAzMDQ3z?n^X788B7kM+(VzHEk6NN z617a|?RAzJP($Ga3WcHoX+LIYTiWCUy0QPuy9WDTMXZ7UaxL?p!oEV)Dvn!%BG+Xe z>ZDMMhYLh;h31F}Hefp&N*xPT3J`o}IAYe&Ov4Ndgxxy={QYAe0e1{+nDvy#TQ&bw zkWVaaMY>P!cPkx2gaZi$va>*mJ8*B@p*K5Y!K>G7jNapi%=V$y+>ia(O_^hbS|i}Z zjkn>QSNwAQaec{#Q0iLZ$2susT|d7qBG7(qu|fM?k7bi@vj+B`|GHQmvLp3b>e9B$ zyf$;=-+AN8h@_5h{b*r*Wv7>I{2$_wY9oD=`uxkI`y_k0PaC$(75zTw{Be1~g=g%N z{!SKG6h!Km4F z5I5j+12{ofO1A>41B4$A3S!H_n=ZT50KvlJTaE1jj64Uo{aljYn=H%pgRYcUBE=%8 z#q7(I!3VeQO*i8^G5X57T!BvDI<>!CI}(dJ4uJ@6|6P?nV$aI@pE5Y#a#bGM@Xp%c zr<5B&N|z~*HNa5;I>EikwAZ-_IywfpmPH$2I2HV>pKH=btOnu`lDz_C#9Ao`){`K; zdHAB%IZ5Tq*w{O(*$SG|PdfA|Q$5G!fI^nDeP8PKmjkj*V!7lM0ySm~eonatln6_l zn3y1z(3xJcPN4|@fB5B75&5_MgM>{?m#Fu^6 z_-)(&dw0Ad!D{|8ni?_xLa*!PUkF@DiT4AuAB~5K@7-gj77C|)?SC!$h35)Xf?Mpy zLTT@f#ggJoAsd5?cEy1KJA%jWk1R`N!3gC8^1nR{YmfZrt8kj3u|%YxNttL#1ZjOEpI zr9MDXzD@n-DXH;Kp!oqd zJ^-|oRLdt+s{g_>Nl9Im|A>*{E0FpD{iLLR(*4le7W#_#J_t=p>Y)3#iGEvA3AgyB zx)Kia%|^e0(Z}HBH`JAEe7?CCN%;1gAC+w0{&$3-iZO3fR##*_c4UP7lB`u#0vW#j zJS9s#@@|Hq9Zn`9qSXY$yI)>WzCmDC|0MN5^+Y}A();b~>;OOs$I0C6k%;NTCS=>Z zJ0nTvh=qn=dvqPW5U%qc2MSOFyGL)AUcE*Q`l`3QQhf1HO7LTWv%z3X4n0W$DXqPF zO$Rn#Lb9H(E^`n)O#$+!4UM>Mn@LZ|tB{hBtd1JF{sQBb`mA-etlDU!D!AZL31lSM zV&7uNt^tejHA>E0SJMb80wq1A zBO_munwpy8fy2|NC#AVNiM5hJ4OX>g)((K1C_n~FF54V2G$?GwJ+&sAnoMIL+xA_E z=e+8aIIr8am`eU^fNK4)jDEGxi83I@N;@q%E)A%taBzn&1W{k?j_d_n(g>}GCA-(h z+Zzo=A{h_U30`ZJoFBc2o=WW=#(Ia64y=`u3Jae94~-(&W%8;e$D1T8yD5G^u?4%R zP2**OkNOPtSd+En-ESmpx6E|L1lHVBFuWT1}!STx87=X^#3iLmU!FU&sT%9#A zoOoUMept=~_@6hDXyVg~09~NYazzg&0Faw$&diW5V&2Y#+A`_Qu@pr69%nsaV$Q?% zc>||0$?WJI<=I|ocBJm2R&-D+<4zP2wF)}ZPc<|G&iRtJH|pnk+DiskE(_?RY1DW+ z;e943>?cg;&d%JIwCxM`k((DdiiWzMV0+OICgQZS%&T5cb2)`Vlv4P(Fr3*h zNRHE9O%3+mgF(5uIt*@5=} zK4?{aD#(q!0XL2B^QerQ`_*9DmVUPwziFOCVg8k0J{@?|X_resd1sd@?D#(T)9);n z+Kbb{TT9|0H0!Pd*jPmt3+_O9>y=A{b>utNhuRp^r)@;QA?a)}>Q20%HYsThp&WSC zwLjv(0b%G;_wY^mbN%w~%?Rd`=Sk9Qb*Bf2G43Y|o9=<~J!fm(!W|r1X~@Ob;|jt~ zXA}N?m58v>#MaD1@tHBg1&uyqdh&z1W8+oV-Rj6KIV+)?@p5Noz zFFqaE=?d7~tpscG%a_Bh5QqUZD?_P6#BcQwFWiI_{96bATG`;cc9nc*UokbEP!&DC z$)({p+HvBosFSbrCtFZS2X32}4Gd^-F(djh7kclELuE~`CeRDGJ04E;+>GFBR@$Pb zs_kd6O-&f6H=(?E$FoQ7IjunG8yZ~GO6(MgWV>SC-S!aebd3@ej;zyy!zNP7I@f9B z#SEEH5Mgu(@I%%Y%Il#-+~!InDXHVDD*OmJKK{mkAam3HlJ7%qI&~C*7_pa;nI+nb zojv+b$xr@kD5mQ`_M$%M>2=&h?CeqZqm2g!5NCR)awppM3rcp(C7w4z>Ux7MEnl}Y lyYp{`0IKH&quE6`4=I zFS(MK1U)kYI}CX&3^O|i5fhPvi8Tx#9}%O3m8~nl`M=fH*cBiKFm*5k5HZRD>@8d^ ziP+hg*@*-MU|d|C0mgPPo*UPCvWZ0!2|cg1Wt%GI>QE7oOby&k=1Vx!8%+`!ESvh$ zzIiO;G9}Vuz$)9#y?)z+{6SC&RpD|a&Fq`9Ai{ind|&tNl5yk9gX+%D)0rW)hTGlm z2l@tj$xh|0zHY6ZGKXZrn&ax;$rQutITTJL50#yR%Zkd2^3RTV7v&ue8|L0!J<~Ag z>f0C&u51dT%Y0X*`htHt6cWpDTGWDb2qY_3Zp)g^IldjQ!mX`4AZa#U!Yj`0M@_q} z{1g&wMd=0Hzuh3Vo1S0tTmGJ-$GGL8oV^Tg8wOsbd+Mh+WuS|FIa*&bm+&|xKs-m$ z&5)~q-mnSzt4J>2b3HAaD=MnauKKbr;CFR9T!Qki4V2)~_0>+Yu}3a1-#G#t{NGNdr-aE((o>8Dt;Xf0{eqaABgEswo&~q& zBK#{6zwe}8Z%?gy!*b-twJ=Gp1Z5c(60OP@mwEVEaVO6RRh!?r{O-TY1-hezMN*kI z67rr%gh?0=8s?0@Gco_Fjd3Zjn-pC=NRclo8ZtfiB7P4l;UhF7e;fcFQ^c`ho000| z^ok^caH6jCm{!a*D4o&)YQxAGu(@+hG4{RSZZf1S63+qADU+Bo@oM#QYFsK5jI!}6 z^>eTjaJ126AF`^5d5xdursscn8m2@WBC9o{Z00K%S z!*TF*HX>}xw)7XdncPf#l{QvBF>hKXfH{AjTlyz#LElg5)-G?BvY?zLsyc?R&30fs z0hMRE_V}b0CCL@{;{Fr}i_limig7UF{c|;t_07w3M52n78OA_kme8CM;ik3f;$RCl zrxYE(`n9Ma+u~23dZe^gbp}lbsK5Jz59tV4ji`QeYp;=^x=%&BM;t4Df77S2SxHy6 zt;3d|;ULo1^1s@VS>jD|K}h)+(qI)^>r={aXmjzblq=dyJ3B4%G5!O$vW|K{N9c2k zW9xaRyl>XP#_RH$?V0-@zOC14-=O)={x=Ozpa;jWB85Ru(c&%xkdqZVYu>Saf~>5| zLhQDi6wej;Wl*}4^zCs|CV5SsX;UB+w&q;aWIToIrLCJ!QYZ8@!54fk-8`X)D?E5B z?0ed>cd5U1C@4PxOpvL_uukxIGLDe9d8SdbEmn9%vA<2v&s-kdtq9^Bl>Hr|Gw~8OiUdBb)zrOA#xL zBoG1<%C`2-^Csobk_bw7yc7ei$hsNa5$Pe5?HRH$kPVcUbskCg2a%R!UDOF2iwY{q zO{GE*?d7+-nA`d`GvM)u%sHO160+}NQvt9CSm%ZG^nQL?nvq}8e}Gm=U!6-eHoT|TUz@Gu@a#m zosqNN9ryY-XQ|0m{~Ypg8e!ckn#$_~g>U@q@75&8v_1Otxw@bQk!SK#WyS-G#y9`| z>uVmTVS=ubusnxh>(4yVT12^uiBsCQ!ooFUV6OKq!jTZ1i*}4ioO#>bf)r|#s{Uq- zyUK{-SdQ1MFuH_yn2rJ-+OtnguP;f>sj-L|&X64`IH&sNmaW5&QqEAtXil zs>Cw_b57FVG;1s$jVEMk0v-s^h2kxXgNrF|FXc_s?meVf@v8b%Jg>rD2x2}ILu{0P ziZLNLWuhkUi;)^Z3akLd65tF}vZM;3-Aur3fXM}VxIP!(CKlHF9MXiroGb$$-E@Ma z+%$2^$}T3UYrczVS;_D`u2rQlCC9Sn;+=}QJo{h*8dzKKWq*bw$z7Ufs38Dpwog zG4^(> z?Xvoe$47*^wsIDrPc0;PHDhQjlgTzp?aQ>2o~|O4@d3#^ zhi^#rP?UDUdV4pgdi4Sniqbe#V?Pw^Ua+wKhG!UC^iDPrTRCJz(}hcUoV7kp-lRML z3bfBq6VhnkvWm0IaSZxqeMN}=k{v5IA)uPllN_6G_e4tYq+a4l1y2>-J0jh>dIWGItk$%1;FB77kJU zfeTi+4hvggyDTyUpx##24kk{>GuRz|9x{;?L5s*q*x6=bVn$H|ZyqSOH3yOV9ubB( z%n}duRS%dfMs<8l5T?G)64E7_f=tQ*<*ag%zEL8}?KPn#NM=EAf6QTZycl*wpMS92 zY-N{B9J=F;CXY`4F49a(7;u5wB>R?~vQA?hF2Iv>ZTGa@Qi9}rk44-w1ujw+Kz%+@ ztCs1{hE}}y%mRl7(QHs0<%*mPiiH2MOSZC4RzM#=+c=GtVJ9X{E+a^aLeOm1i)@U9Qz4yp8m0CE|f=S9**G9L;*q4ns|~i&wJ+% zMqp&EaYjr$NDP;rHXUuI>8KjaUOIY@xkDmY^tw9xEAe$K%$Ay`$?`Jrk%qPfCu@B*@5 zV%c8d2+sjZqCI7Zca(2@O4JA3)Hf{I2B8hF+DR1Z-z&d&r(%q~a^~#R-!7xDBGwgR zyfALeyv+pSaL5=9B_*E1JnXk3cZqRs7P*=De2aKgf|osnjfRJo=@ zkS>_8A60*@7DInO@eMT$q!cUk8E!!j)dBMDMJ*}(6;3akqT8tjSorNtB}|dX@}6st z*1kpE8N42qNy~Kll^x#pGrNM3s6GVLcv_|Jtj73zI>WBXXZ4JcVioKgO$yCcks+C& z#0?V?Y>+83>4MrmB0-@%Z7~Xvf-uD^mngB(sQ&dO=CzzSGdy&bE(jZZ~ms6*>+A5{LY3xDJ^sBw}oc)(Zd^L$$oiJOX%6S?PS zEB?4)devkuRo`b4EDN)qzm6>+V_3Uqj}(Le3SxvwUyWZrU}*yAHLvv0k=}KvJ;F@} z#ovO6mMo+pJvU!}s0#g5EI@#!t{q*d6Ecxc1_p^YFV%ELQGRoyOU7A zx#PlU&;S=**Xub-PbbuhxIiYAdp|GrJCmQhu1`pt;XuS2%QCyRMmtJwX25)8auo3- zHKTOH!G1G{4n{e|&I28yZTEU5)pW;r(xe(=Nh1e+>X0RTBU*zf6wqP$j6R|G^zxx$ zF^}j-xXsV+3c*56WTeGH(`{_Fdp{qsc+XX9EKr-@5?RMrz>m9ux92h2hzBQ|1zO>i zaO{8*r&fnSf(avzH7%(HqG84@U0TI72%h@GT1QovSH8-`2|XIJwV2xL?g{;nx@qup z=|ONi${L;S%~3{m^zJ>1R@Z$T`Z;vDcCW_n9KSn9YP&x-_tTChoegyIt#QIJ|jI2C%lyUV4FWtcOKBfRV@ej|bfcO!gl?Ooi8_#q*yG`$ zHM#iKkg^lj2i>)qNuiuw;b#r|O{(n>gD^*XO-{rP+ZmZTZ?0{BO4D`fw%asW5XaJy}idNQX{T8%B8I}e)BL&YBD@s5=wQZ9mfODif17_g*l5vjkB#$+H z#Hzv$!JDIp(co1ZtvI6C!1ew6IMEcQ3i5!Vm!~~yAxDRLxJroDZ%VgcECgR4B{5os z$SsQ+-#ti40fUvw+_?(e2V@J_1JzZ^&jAfaP&yQ;PbWS68fwvpjv2X_a59o4a`8|9 zd+#001s||_M55j#NG&)-m^r!T?w3$zy;0iFol6T>{^Kw&avD08d~u_R0DWIy0tzTl z?g;M2*f$uA5@cf1yl<~>5y5bVfUya`e5%b48+d@5bG@Z#KY@c{nwHLI3i=AEESCu1 z%i-EqYgSM-qGVh$0=Xqs?}O8cNZU4d>)=vzyX7OH<;AL@rqCVzK)Hd1be-x>Q-O-J@#@<#Q;R|G4U zC$;;txlD98-4Vkoa_*59z6W%G7Lvz)Q7a|Nx|EhRxv%J9qVh?ylgvO=b76$yw4;a>qXVQ!na()gS^Zgl+I{{z;D% zK51J^hLF{NI^Y_V>ibwXn_xp;id0rQB6TGV;)luXX!SIYtMlqXqRY|kyLEOg%>HhC zEwM?4sWeQ?rf>1!*P}LJ8(Qgz4>~pu{KCEKSz*A40S~wnROO-3p5H1#PK<0PVkcF1 z4s{7M41Leu$yXYw9z^kqEM5jNm2GuwTAM1PDs2&G3nmz|2^2&H@KVv)gO9CFi+FV! z{n9-SbnzJo>3bBI*UI}T--lhB>dmINEyEibul)oc71^BqC#Xitp4=nD0s26Z!1%v} zr#)mdX$N;%2IxDEr`QUauX;dD+;PMf&1chkJP)=o3dcDc;zKu|6|3U;>+M-ZRe zk+RDf@cq|+1Xf#7XzC$V4NK>>fu#(Sh}m~@9dfzV)PlT%vB=AQ8?OJNYzM&TVkrI% zFa=@&|H=}P#&T#6ZE3Vfi#7G#c=22qEIBdi?r{lUm>SNJ zkq$!Ty}r=oDW{u4KyXME^qp$~j(4(fmh>T7!wXgH;sf8>lp|a<*R97Q98ebOASv4K zd|rCNleMS^+eh5^x|92Y&nI@|ur-}E`FM6*Un;n5ot*=PpbRa|oAxQ(_4f;-QPKk! z)}MQ@6;wn!S$n9|0t2FzU#ip!VFu)59QXBHiRrT)QUO7Tb!g;rY6FD857N7U{HCMT0SzjJ401SKU(f2vp&h?b zrz2$U%!MQI79wX_9Vv37@Fdx+-4z_(s5P6q?UM?)A0#=*jfFFK?He3~%UTUt4*15l zl+0rH;rXBq5j@h$*Yp$L++{Zq=~IzOQ6X8*Ye$LAO9{IgiWDsGiB;~HY+n|wf{v&3%k z3bVjIS!>|44W9Jmu!^6H+|4_2d10cS4g<`c0A7%~gsCxIvGL+c*14%@>LtoUeP>45^e!4*4dxjmgR?Wm9{Da&DNmmsIZ)*zC~8 z;)E0>#@MV<8LCu7gpF1P$U#Qa7|uMy?y&N8JN| z$YU12B12jrXYv)+GDHL)dkz{#@R?tGHK~O`7Y6FP9|drp6#EWO!(zX<_XeAzD#B!y zqrO4S8R#MUS>&c}{p9PvC`f?yav|jXv?LE)P{AKE!R6mTM?bwKCFQ!-nVehNokAs- z5LpW_dXT(O5d;-gzPuKW+b2O3)y4xVS`}yUV>5w+;4}0v$ZGRJkm8T`S!RA0ls-zD zYYy7< zi&!gI(j2@e{uI^|W_9b#zZk~9ngb`&H#V=DXpgTxEx|we61DQ(d4C^YD7Fx~Pihfo z6oxhqC(t2Z*d^X`D+lYV9fFi{=}{p<@cIvFL%vdj-_VFsC$_M9<-ZKRTJAr8U(){_ zEI1PSJ)7@%1?f?5UTz>5B2yf*?yHaqR@0|PB|Coe*XyACf{T3Z8dMYJ8YTY=)iO5$ z@djD{dC*fdqhqCQ|Sor>p1zRnh!41r2m8>Ynwg3t%c3miCEY)@%5R4+a z$#;j&&Q5p#LAWt)_v!16#2-x9&3NLUd7Z=WrVf^5>)epIwAE!nB%dM(L+E0)H1L(n zZTQs3SNxdomu;8VZ{JHl&1>WKTYFz)L)qEa>xU*m*Z-j0c3^7f^?sWmeeCv3Yh&l+ z8k3Ld{h#L##&Bl6+1}u6S9-h6#U5>5yv>)loU-lfUO}#i%nmYXpJuKbjB4CKrH>7> zqTqJ*bI6^F&cdIddTLeiB?8WGU?f+CDcnh1$HDF#gr2^cZ-&h0hmgod_~$RslP2|W zi7i|$qz&lU@I~i!0)*<(*B;)T&Qf0=Ps`L6lGtf31jg9T?=fE@9B%o}=0c}k0U+=U zdnqs>Mj~x%b;qU;W0y`{!l=wpl;^Kn&Sc_tBv=+Ei-=RVVqIu9xPwoxtF`;{4Lu z5rI}QwGAJ2b{yL%RhW@D2kXy4Il(dwc?khs_i%lJp$!^qf&*U^3<-5Ex+_GrE<5De z!B4Q-6rIn`WDBC<8rmFoM-OBj9pdZuLPgQF8P8T^sQo|h`wwlSLaJxEe)1!U zsgz6$K|b0hjOIGSM9Due>=!7Bq;C!|>KZLGaN8f-Q!ns0VMMr}eiBBnjI?U>veI>- z%Hok0a1#Ytb_^giO`x?F{5~W54>E5Brcmkwm)~V@Ox+p$KHRpy@F)8lSaUdjyE=HZ zY*`0eWVgPR$fU&2TaMquYgBtoNU2c^CV9ULr^ghP5I5;M+#@AZoi~-kVWEAJQV#hv zVQ~RW`f!}(d|T1!jP{VzyUxWEGNL_5E;=8nvF=o?a(6Q9vzyc3pRpqm`!SJ5C9cpe z<9HLjhD4zTVg_HSslk@SX38tU6l4C?)xQ&C{^&FQ(-NrbtQhSO@m*Jd8#Vy4`Z1tD zfoSdJfFHdzLur7QnkHC^AY*WURhE=e7{Pt|-yjVgL3kTHcZx@4vBT+||0 zdDhBss@f%q(0X-BQ&IJ3sm5fPPv z&WJbjq!pGeG*|@j1sNjLNT!NXAc1B861Kvf6*Hw-a$XeDF41x{Q^OOMdt(Ijd=Uo> z1vLj2u^RJJB_qZsfigU`YgMMn2x*gCnaIG1IS)IuD470gRjYkkO4|r0?dMyl z9xR6=n+fx&Q&%K`0{7=A95E7Gh!>%x(MhF@2{~vSYOGf^`1^Sm+rlRkmUKq`XAk>p z$G=d_eAm7fsI!HUl*Z3>%*ND4D`(cu5!z{+Qy7uYa%geXpc*lm_Ht?^ow+MGRF+Hs z?{MYq*$Dh}?Z<`DzEqX_i>N2l`q_xB9b01os`mOFpEyEoG72%0&tdKTQO3fF-}5ag zP#90CWELUB-&L3g9l7~YL}^>08(N;CG4&M^2uST0jwF~++q}<-)8t7quX5tl45$=G zWV`ZPq{6>hyTBb=pU-B`YVs(t(6uIli7zHfTQBT8%AQK2n(qpXCF7CI9W60yQ5z9kmJZJz_Dike+;a6=7H8Cw-$5qL6#VuY<8b&6lN3Lre73X4*(`pGfU}0C}Vp2@%pdIlIr~{KeH#4P6g}+Zn z8$u_lOW*9~MY0+{pkfq2(AuEGm8qaaoomwe@XN+jx%Kax0ETOkNNsewP`$EuH-~d; z>6!gUeuuw8DQ%5Fi-gY%XHmp`xW`b8;pjeu9hnFE0%+u|TybDY)oAvHG#2a9z{|Aq zseAqj`vuWSLonIF45KMdoWsy9LRSEtkv>7eDF2D2@T`<}u@WG1uVlpRAaH_*enK8W zW336byd%AANbq`^+{4veFb^sTAWo3Pgwc*%c)IrsVw8qsqKXod%0v$d*pFVK?tqdZ zc>==`c?Z*ndP{UqoDy2-?=i|N808>aX>>_oUwy*{#D$D28>rR^2qTdZ9{v(&XHZ6D zETuk9tQ0;3ka@=DA?-=B%?B!cD-5ecW5!@~vnigsU2GV9REq9P$Dn8B0Kg?#|4<|0JUn_C6XH5Tce`NrA^ z6`t;+2@+I?Sb^b(vcbo^2NT_<5lGFETZNPf`f}Hr@K*pyiF`uA-uuT=7C|MvEXavm zX&N#-@gLyCbEyrvP=`jBFw;2}NjRc}L8m*V<46P&Tcs($tAPQ+n5nU@^n)0J{#2&x zA7xPdp+M~%L-(Apw7!Uh%9~=K00;f=BLOZKZA`1%n}-?4P69VnS>Rk|76gI#uveCNe={#S)-0n3e>)ed`2Y zj;Aw{^d)ISLcAQ@?g5oIzjJ*Y1)%)#WoUn3jMy~ zv^^V%Yl_IM8ZLQcKndfo02jevln^)^0xKh$(oDy+-;Jo~h#vobwrduZFkx1uZg1?P9_#G`1rTgO6fs(NL1J>OhYIO8q zHJoEfZ1Oy7nH`p_PR!Ma%QVs8x1kd{nd_`mwa3xT-L8c!6DqQ99Xh5#i&VcMf8tkP zkfpT%RE@?##};Pn=ErWac1DzsJ$753YnG7W9{fCOib5AIBIFq=-Lq6`t`gbycr`Fv zH&2|%_by7oEf9*HGC9dWj3+PphlMJONgdZBH9a%!(DYkX9e25=J#1bD2@|nP{U4F?Q1) zjDFmeNQDa&ev_#IP!Gn{456{uGr?nJk=Vxu2lhVMf*v)FjFuZ%0iqo7i1Ud+-lrM( zbWOL2)7$Spe_Q8^y~_2WuF(0|xZB2SuuOAJBGE9}N(cKF*e;d*OTg5}FW@_hBL-Hd zK7X}M7jJgEAD?}V4H5DFOSI9gZ*g$H%^_3X`;W0BP~b*0Eoak+HRsl5_X@1GhWqYg zM>p?A_BMtHB+gl@lb}5>JO6x()yLn>^7CPb(vs1-Y@WPrkJ}siozq18fi6>|!3~7@ z`j!*~Q0c-5ZT-VnNx1*|NKL=Tnbv6k@1zNWif zSA%J-=Nu9G=o|+Pe+-dXf8Sv0G8wLivs^{ExR?>;% zTw@pA{rVrRZ-{W4yLs`i-wAhHsW;G0T&o9|8_c`k;%%K81(0(?QjCx0V9DCH=AT4j zUp%q>a5ZDl-tyN8JI$}@1brLn=tr(KY8Dr=_3G??pL-fTDFfh;jxMsI8aK3Yy31jQNH)z#p z^|JljJoH!*LkWAY{DC@>fiT%W5Ud+LAIPRn{bt+4E=e8^v-J@?7C8X2K}%tOV#I#33P=p{!;3CsJiwLf^B)x0vCep=+z+b zDDBt*FJySI@LnUd2wTTpyXE!Yh$f+OyQCfgNa$yaGp|VgbNd5n&kn3~ zbTeB-E{n2+mdmVoah}x7dMej2X%gE&X=DX1uGgE4HVq!RqN@QA8t02h%6gV`n;jgw z|5p+-H2xT^r1!~WBRUXcZYQ>>oi>V8OZw7Qv!jjQ&VJK(NBndv>%2yg?)%tEk!$Tw zZ=klf0Czl5o#uw(;^pKIl?8ZpfQ7n%`qk*x{5jlf#rDk@7|i~%a>PEENbcBSeeTs% zP6~V@KY9mBHQL1-W(%kN@Ezwvj^KveKLj{fr9a7>iQA^5E$ zycB5ms@)}N>zZuD$JTR=ZI{>i?n;aN+xG7Q;`II6O>6#&yzmqY6Ar+r(e zINbetzW8HKQQ%)pnf0^ngd?pyYB)3VpPQyY8vs69=m;W5PTuUl<_%~GpD=Au@l_|R zn~>^4_XXClr+$8JO4V7zyoDWqy_?SPLZ7fGU#u_~+;KrKwynnL$?Kd9b#QEX!jRu{gfX6xf{61kMHyUV96`2Ri zR#410a)zbIdUlm#DH2>YBT;s*X4LE9Q2vRF9<0~+2H`;plH;z@F2yc#qEWc7n#|+Z z)=u+V{qxQ34MAVJ@gr4gufHbwrEu(aCn3BXC7vR8_56`{tu-T0pHnJO2s@usWPf)b zTQl3meEwZ&YI+mN>QhlX$k;Qf$T^>ep~ez{Ng@(UUUgsv7s=g&UG?4xt906P{!9=O zCM(Txc5xncd3sN!fvf?&O7ScjNYnRc8ZRT$R)Ty%S@j#r8}x~1s`v(Ck}hx;u4kNH z!<9(RFvrGEEwV6{u;f)G1^1X`K&qqDTuy4u_|6v9YXSkPJ9L$+P_a~GUve;ieYWhf zsyd=Qx}OF@oU1wjgmD|P$qSRFRODiq1pKpi^W>bSh(Rgn?QjHQZ5?!Z_JaWP>1H3x zfo7g_c#hG}#b)dInIr+RN&eK&7VTs7gHi&`J>9P+!Ro{hOh$QBbQ2-4z;P3LLc`1z zSRZ5>I?KfRhv>cnqo19o-*xw+Cc4803GUxU-Rq7kr^SBbx5h;tTaw^%G1sLiE+Z8F%#`CZfS?@FNnUhJJC9W>mfYMe19K5)z z0lwQru4d(aZfF%Xji{dfo491{fxY)oLMEu0ghNe7An^$U9coR!o!|>JeASH0y`9VT zhaJGzRY371n>_a|w!utmXZ5V?ZKBQn*RXkaS)&sO}M;L2l6n75=XJxV{liNU3fm(S)1=I6!@JLU`mXV;B z9<(f@SEKe@xwmWhKgWsT|2ICd?bKFG}Xdh#Hm)K7P%*ymMj1dNMo zNrx+~xSB^lZN`GhSEU9V^SE@@S0(4`L#HoqQU+8~1WQJVE-mH@o^-qNknU%x2IUR^-IAnb(s@MVf9w83wDul8$GWX7x4M zdcS7Ilc}&MX17a~X&H~0bvmol>yYQ9MCsQL7v1Q`kEbj5l^;5pC;g;BW(e97bDg0J zHwOtfDstQ+XEGbS%#adv_8{2c8%e^{HXLn`u34IY^K+i@(p_-0v7U}b>@;Tuo9!L* zub(HhDQhnzFj}m2j!?M6ZlrEp1?6u%N{rjiQn<_<>5$q5o~RqVb|zf15;)m5 z7Cc4;E0}+7BPDN@y+eYvAW1b^#WE|Ob!%fJrtJJSaEq`R$jrp(8edzE!tC)II0I)^8Z~DPKJ*{Y&EEo|RzoYg zQa_pINjyB-RN5zQh-Wj=+-wv6snvB2C#?{mZuP5>NoT_r#AS^b^CN}srgiXo^)5*O z1ch<3^$oc@)x!eKJqyoU5U3ZUZ?-RHjp*TTw@>;3PKddG66PREvQPCtu^@v~?KRc7 zK{}NvP7T|KNvMMj4$d*(-Sy9lQkH*q=Xb2EqB53P>7QZ4XBjfr*P$4tCHm-h%59G) z(I3X=dQ@*_A&ZX8X)NhAq%m#Fqj3~9%WMRcgjiKw7e;^QAs#%3t46w}ydFleY`Npg zqz57X)6!!c%{q%Q<=ikv@-@8eg{3q4T2_!3Yo#&WFp{k~-16!a516tGUKx?)Wkdd2 zwVwa`nfC$Igl$LG!8`QXsxS1s4@LX7&^1LsMvh36P-Pk+-Il7!onTYiR4(LXj9CjJ z=JZHil05`*+6?IIED=8J)0LN9t0Ry59X%Y@{Jmg~2SoZ4A2|$O%ko{*>j$dx-y@bh zX_*lp5Ei|Emhp2~&ceOw2^I!p7xQDNT3I;|aq6|LyL?Qx!A98!N6?bLAOhe%;-#Tq zlCnP!1+>Gh4w9dHg=tO_WsWzaRg}fmqwW>nx>O64B;bBlxqB?hNGE<~ZsaYlKA~ zUmvLhrD7maeLhd7lU&bDs%8C?=~nlq(!TNB8$Wj0%>_hy97;WfaHYZy$xpp`3@E&2 zuFoe}&1JH1m2*Qre)(XBf5Eo|Yo`h z`yc+j!H}dfje+)`wb{G*5iIxfO8q}3n(Y6}JX6if@ju6iqKUPttKI*HokYUQ*~OKJ zi;3y~ah9;KbF&gLDiAUMm-}B0Cc`?qv8bacey_D>qesQtuan48O?600PqfZXqwyM>IZlQ>H5D}<6&qpD7-<-EEQjf8Q-{6g%FO3? z5fHN!Oyp^B8Pt)Ao-A*Rtbp`}cHVbb(S z9EUV@V{^Jj48_28q&sjI90xQPtbeZtd6}jLh4=pnv9gQ=^5W^BX0wciKhqoOv_)x|NYk z{Xp-fp`=V+bq?8)L~4){LcW@zjUljg#pC9ec`jhMdEt^$zz~FG#7V-Dih{nNJ3?w= z+>3OmwnVZ~Iyh$*AuY+N_!H;yB9V$h5bRoj6S^PPFsw$PJ|^N9n26bIO81Kd^O8Mn zNPAMl)WGGX&Niu`FjRt_nIVfny5~{W3S5G~tn(e^3GtGoXaf1Y1E=HPy*>;~WDSHf zP$c%?f23)Rk(sB8$S0SJkYZr8ai%1t#0IGNuz}MZ;+iPR^%9#+CHv!6^0W5F7L0KM z<>b5@3b8C+Z|dJ=Iey!Hmh0cSKaHiL>u+=z{LKWv**=9ED6iK%CguG;4`*(yFKX7l zt)1F0I^{dJwzUT7m5BD>Ez5zBuk+NL)%^L35h`hK=oFrNzw7}sk1 z)`~z)m))yOX8k`~h;^&<8XGN6cR5CEN3k|kJo;xeDg~-5@JYJ(m+ZrJUg+#TDgwV6 z?*z$Snsk?8Gn|$+H8tHjH|Y0+`sz+E>w78$2@N)E!J`qc)D4&EF^pz+dlbFy|K|xC z1AaQKseKtKZa0G!f!TI7mnAhHifiLccxlQG7E4#c9?d&3Ua)CzFaN@}QK*8NuJ)gK zo}bZUY!w|ipWUxo*=#eMjMO_r+z_ItnXa0B1mT~s*3?XO8h%~Bk8f^_F9_;N-REt? z=&5KdrSzkFIRHZ#pkOtiyqK;QYDZ{olgR zvrFqMG6gTM*b9=3dh6c{z5jfLNo;p=X7+wGDcJrL=oGKxHQ-BcJI4R(m^qoVZav4e z8e=Bw{XkFA-oC9_x5=16W{$X+hEt6b6q#dI?QLwiW?Hs^iE5%VF|mJIN-M8dJuDef zluye@!;K16rIoFesg&iFe>Q&^{`c_E_&zzk$t<{7pD}&w@y+s#-R{Zi&*#tLf2VT- zxp8S?R;!-G2ZMz17eiSZa`-RhNr5L5!uQOYKAjoI&*&gHU&TfAk5+U{4sSsR zi6df8RY)+!tEH_vyS(}2CM;E{m1S;%83m=~N`g zA}=uvVthT=dq-5KF1tWil+NTGN8u$sotsEt$jQQDTOgG<_f~I)PFeC0!U%mh(l#>} zxmQS@BvpJ+CaJ$htWlmFA$lR39%&zdOm8l1eZy+mBmRQdU>|5~^}H<%2+{EwVKoO; zR*gzUq2te{n?<3f@3cO)8I0^p5(a!@jSJj>X6U8M2J6wNuLknoE%@gljM(s*K6VHX zQVvix;f=wwFc0eRXaRN6)slOT0$sC{-rrCEnSk#9+-~*mi);?=FQPqVL;V69yb4x# z`FPJc29~%8wkM}wKFpJ-*yQ=qSxYz=@ z5|fEkj-(bPE`6#j1~dgsm{Qo##ge9$CV+tc$>RSAtN;Pk|JTq65YRnoy!fO##;3Fq zK2>ATjaLorm2`$U<{?BzJtpv9(Ii|55H;G!!X=nb)t=VB!%hfaN)D!0g+DH-RXB)-Q) z5c1Nq$>!!>78>sd ztu8zaGmA=~ReFJ5vZCUd(Sp)iz)_$ZL>Y~$5lW!!C+a`#3dSnh8zH^afWa!eVL+C+ zvT`Lx2MObh0XwKFQJO;6#}?zly;LND0++;0?&{Cm3yW;R8*tPUo|C@Iz>X!AS!I%1 zL4v1LqR4^@x#PBDb?3<;(%7O7aHizT$yiX!0+%t(&UipLK!PYSZsvi90%Z`#1fV4p zrrDAPonQk?L%EPh_fg>KS2+ojBb>Up$w9tFIc7xV3-8qEXR%=NAUp21ds?-n{^Zh3 zS+Ph~VDd~mDPWOTq%e?6tNgGj1Yht$G^xN&!;4g{cp|6`f2|&7rFcE@bQbs+Cae4<`M9rbanF>@(G<<8;=Pf++cZCOmrf6-Zb{ zOAUdPW@^eWr4%6iOHn!@q%O6FK`h{1RU8%0A9Fopz^DJp<{$!p zciwU)zv9ezumD690CMR}NlDhWInovUu?cLgMmMQbpI4`{drAd`a$l?-~=vTtqMiZE01 zIuGu=piN^#9k( z%)!dR@xPUt$NV;lTP^Xs&$JY~=9Nus_hdx57ZVi?Swq~NB$dvXv>miJ2p-`pd@F<4 zvYDNqx2u0Kfl;!st2LYwD%JS(P+}!K3U>o0)~~Cwd>@Nkdl?M`-wy!A<{fhh6YH0m z*wo8aBmm_G>lbfkAJ*L)jOqV+?I`D-n%7VBRsL?z&yQEbt|h>dyjo}h+6bHPMnOA~ ziNRXf`CAiJ`5k=jM&Ksyr|vC7M8+<`%Cz}zD0gk@P35R$d-te5hj6RjYG=sD{l01FfPzx!U^%!h*gyAr&?OhQa zSM7wg21b%Kf?(G|){J{=VZO|G3%c}tUn?!A|MUGo*<$c)<1l#WDD{k?X1E2*6K>dKsI%H)waAJh(gAG7@_YL zg^mr;s4%~))K}TOK^ZtkaxUD`kEw>=H;CK~iv=WXMAu zNni}QWQSfKOu5l5(D$ECLgz`O&>|cU6Y6tMY!aM$nxeVJGGZFOiWAQD^Z4Q57(;>H z>AzBOL&m#15E~TqVnlYC+0aSQ_)?F=TQqROz-Htp{u3-x>LB!iMPbb|qS(BcfGbmF zcOR$mqp$Y|hoII?zPqM`QzC?z2&vAzfHJ8ZG$P`?`PL-K^8Cu6{=$3+A0l>?EJuB* zJewuQPDtbXp6iS)zoaH2l_@G)fm@=B`>;O*4pKR1sjmEO-RMA-WjFU~DF6eoK!IeY zcTuxA%;IvmggR(7nqat_)oY4YPo=p8l_EM)?E1I|5TYdk2FxW>=G$N{+yE}%axv3ffE|KjVMf^^}bF5R|m+c<68woco&`L=D_ zwr!lYZQIs-|J^?|Ra2GgeUYS+)LLsl>DtO?$|e)87UW!(?IoQW?ac39*iXc ziCGX%Q#A)z@z1}mEvm@$YZb31~tS!6}jqWDFe`pk2x6U}@3l29u|h zLTH;6X-ObK$v2^E*aHvZCj04=kHFdjC{hx$bMb#2;1dNWX2nagS(FV>rb{Rq?go z-MMc4?~GczzVy`uovjX(R!=@Qs1(45j8iAt35Yxetg?B3jt-d?^>wxOYQIxpn)vng zZq#-fQ-xUqSDjA{EM*0yIp0yR$$7URtZWcpI4oapejD!Eai|XrhDKq79s_eCm)=g> zb%ojmccG)O>mvDFOj*TNhk%?eDwl~cvdTmV7S!v=P%QF8Y%?>Jm8F&wLkw-@rgwti zA|?ARKo0#T&s}8$9_42&%nxH7-fn&` z@V8`%ISU?)k3ac+(+A1FT+p^;rwx?TeOjwqpU_N#u{D6y;x-IaUKk zH0KNs!F}IoNMD$p$)nfYOCJ;j{_4`O{6b$9> za24z4T4iv%QqcC4P+9yv*9ux1cV13J-8hIlIostHq$>Cm`8%euH5=Ls+jRoq0*$6D zINt(&BYfO#_gd=g7$mvsHkSvAE%rwa_6VY-19x3FGrH@xjiQGP>Yv>F?SEM=M^0`X z$yUpD>{rdsOLG1DI_yxW#8p}m{^_acGiHSdDO#lj8b>C=g_ngm_{8S0F-RpeA?!=e_XCVYF9(K|B?!|T(7i)p)?yf=pFh&gTjVJ>9=as&~pbU z-QK9broIQS_TJ3}8r5GbC2!pzX@8o!Yj&`IzFxZ;yX9y1u{+Jjo)J3mbk4WB%YeeI zkgOTPD=fY0X-XEZ%0S>WI<@YtESv0|Y;fuYn<8S6(52>6@$Ct0w*KNlotx-)NlDXo zLnFqub$!^KSJC-^he~L!Ptu2>)`B7!q;9~&R_WAS9j1JSmfPY&9(~krwBpY$7eovquyzVJJ?9@0cb8ZzKy{uVngMe(?A$$TDmF^4sMR21m*NzNW7qQEEkosrJ zem+F5-+izAleb8f!-Z4J{ago_aKgsFDlZXojr@$MVR^b6Y+x9pxlGp~a3O@EY!&Cs zl5N0H54v^7!(0V7%>z;i37O_> zt*hD`6m0Pb&0KLXEBAIN+d;Qim-ha!iuX7SNucI&o_tzpC5uu5j+>@S5Z(h$)rnt8 zXqY$U{Qhx#uiEUeRiZnjPo2WfN32N2etK*L8$;2LM7ONLGenb_8^F|Dd=o5jTG@Ry zZEqEr3{kWnUN1J@;IU{tyEbjrVo-bpUB{TP*6?*^h0NQI9nj!NPN9rXRKdmr>M)Ltjzm+|uvm{I2V;yUmvK0CFGx}Ge#&vps6V=yjqGIKV^ftwq<@%@Yj? zM2lYc6#_Q41N(3ytT%}~*4M_{VP6_r^XxS?X}1`C7X#&>SY-1rz>>sy2sgCbR$E#I z)t_&EgbODiTiqjCUr)~a)vt$^D{8El1KIRq`dr#~yiuPoei{Zfl9?>Ln%$@h5Y<9V zgsfY)i_}W=l<&xz6Knrvd|z8-h>w(4VDkqgp%*KhejQ?mPZ%{}9OP>=YF}fsrBjN( z{W+}T-h3yHU5qPG6$3>V8qC;X-G93l5T34uT}?o(H;LDX0{ZobNmg#hfIL2GiV3zfFdw|xPZov4 z3h{Ta-p`}|k9MW%sYftb{W?w+v(1=updLhVAtUxAFc>FN1d31EB&C&DQbZ#zJT0}d zt+YJ4cb-w@tf-M}D+y%>pNiV~1w>>bSk)g4mBDtfI8m#Q`C_{XFVC~+4B4LlMwSPynH|Y9mYHGwTq3-glh)AXa;vp2 zhLiV{r+P`nxC{i>iQpJg{y`dOxn3*@nZU%vh)PIVE5sxxThl`7{EV*mN{3lAMlnvm z0QFd@ATVgjo(Kz;K+24N7aKpdN9n@*WEbq;4L}2OD0d$;w3)_MhWc#fa6OHS%e^8B zq-aI}In*i3ZQ8RLH=HPy=0#AkUg@CVlPFd>H#)?{x|opO z7cE+jT6$@xUFXdA{vCK6#Ta^=L(}%U=%(F1M1?PhfV#!z*nK4{I38p{P{yGNm&Acb zfo`?3Sc&DvY;bq+bO?g8Ni-@dl{29<0$P^x^Xu_Sys;88KQ?;DbYj*kCB07}=ReX-l!%%` zg{cdKrhm5*=LaIEppK~k<}ZuEPg|&UU~IbSPM@D-jDT?&GGJ#jblP&Bq`Plgp3y$7 z!qe$cP4lAnAX!^$T~ zHEi1J)Qybf>@qJn2>X1Q>42zgE>{a^ihH(~C^GV>M~m~}X-Y+iH;h@KmCP1P7O!Ti z0mIx3Fa#0{UDqT7Xi;R0(T(JO!9@v@3k5$0lP;f~Lw`tNYR&2hdU2&2o2iuVsemlP zoW*ciDmUV5Z4MJ9EnB2y!B?DcCT%-DG=t)OhKIG7%M>D@_s$ z*AiXAXAe;aUIsyih`EGbJn3hjd>ZstSIC@9P48~ptZlOw(B0G1h_8p8vd8*$fs3ee zuD~eLDa)uPF;#!(R={?wkH722vF#L$~kda4PrL&qYw^Rc{xP z?jc;#s`ydLP&&fFA3SItp~>luKHF`&*3?XjUfU>8{CAhw5T#;Zuwt^fklEY^xGARSObCbW!CWDM@g)4-#DlQw7&S znv{W=qNiLr9BpAa{`wV+Z`BMg5gxRN#nJC~2ov*xAV0Xs~?h)Zqs@GJM4t^t_q zGj!)K>s&tPEh50;MxISV4C`I;iH5Nsb~~{QWWN^7SdQ*($XA-mGNO|-7_+?{2M53Y z>E0tbs4gRNO6Mu^dtMG_sZci`W>BVnDDk?|GtuL&BXUePfj+Z{0#3m8QH0~8>JXGn42Y-ftTWO@@_0gGCrXv)g_2w-5 zrPSAh3Ymm(?G{$c))!Hso37MP`QMwBrVD(+wouxVE|oU2jRFw8U(V-s_6@b zwfc-!B(4PVO@~CdF6N|_NZTAGQ~B%Zr;)G0673bxtSy24da&XLa<4Cmb=jW>d-^Y? z(*!Ns8j$ZP+nxaXNJyLm?u8Glgo4jLjjw|jPx5`e9#2!f}|I|MoD zQqN@qS`MYKv=5}xvso2kR0?gh|JrkW>TO>irdyx^!Bgi9a5fKnDdomK`!d)fJv(A9 zkoo@2p&2?nnbKJ>-@Z!Q99bkwc`6smh{TMXb6GfqFoR=hcZpO5jTey(o%$Ytbbp`} z{v zcQTENdHy;TY3gdT7Zi5zKQIe{Y>q8iGJs7pup~FmE0?+^1;zTtd4fM3#GoLWP~+U( z#~1NPp`hO%d1E5(Zl*?p$6c31^FXEP=u$!eiJlQwKBW$()#!5DuC;QXD|x}}V0VR- z*Vk9iSTXDMx?kY$7BTN!x6M@Z5U95opJ6P<|Hn%B3#Z5 zXyMZlVeGW{NBj|sMV-Q%M~T)n_g?TG8v4f4k_vsFf)wNLP`@KZj0Bq>61-DRt$jW( zijrWMu3?{`JB^aCyseh>k{EfHTq7$mr20PV0Hc^QPol;$9<#7QuTJ!kB|XP)WWYF~ z&4L+_kiFZhTi+OO?26aUfZ;^yZiw}pQfg3rDceE4FwWsbLNvS{o_vdoGq@g0znulV zFD<#)6WVCSCAzB-8qH>Gl7>?2z_DpQRTfO|jKSn)mh2oMON-((lL z?n2w=(QNT_aNP((+rQ-DE-o+qgEWL2J*sPAbowU}C#Q=SjEy5cO1A(VEiU&t>#DsctUpHfiumWarGN8N~ zf;xLvc=#N=^_?f;p6=~#<>2W-Q!BPjjpmjNkRwtusr_yK@?mIH zD4C|zRiR_MepJ$G;!t7BCW8|y0yp8Bk%scZM}Q2>qtw~@%i4>Qa!3z*c4F+v(oVH% ztRoT(LzfTZQJmehDe}BlrAO1V`94jOGBC?6w;c>3CyN?G}&0?V_quVe5Ks$ zgZ3RMLcfU_GIlRdT%7!!7^L+V3RV~=8u!ecSgfVEm3VI;3( z(jux6tpF;wD5ALGukf1)3quf&T79TwMPE#;gsIRSOV2*+;SfV_r^QX?^x#jD8s~Uv z+ycU*h)hw{ zGg`xI@@Azorr2#!A^>->2tWmsJ=E@;mPVl3R3PpZ{>Loj;@2@r;f`ZGxi8@;@{=99 zlMEq;j=MK~XeV{AmESecPD2lYrmIJ&?x}RW!+$4Q9{o(R8e+Ka;4__aLe3dtytv&GKhWy%-260|IrHmcO>VU*E;Et z-D&q#gKGDW8Z8(jO1@rgGUI(Gp8X2{ttxq|z4J&4C+m~cQgCs1SK3iu87?9U5wWG4 zy0!lCOO#{+Q0M#^2TpO+Cb*u@cW~z=VQt>mA!`aFjPen$zV0p^)-vn}Re>;lEk{&d zT2OcudQmb%pU*v`25s*Aao;sZn62yc#fN@D69Nyav@=#ZLpnAUqd|T)W34;WToY|7 z{VP2jag=FK*RFb3<@x0a2Bep8L~>*$IC(ZE3WG9wBICy9NCJm|4}5tOlq;f^GYKn( z2xC@E$f21Zh_gKPgc!!FzlzrIuPC*B*Urzn>RVd{oz}lmetJavOIy9x+pFCyk*1r= z9`6o@woNPJ+peL@+PY7X+fhGfjk?<{&DYn>&Wi&#+Ux;NIkI{hsL5b4(yPU!j(>%QF%4vrVEzS~Y5?)a({0~b$UjnCSf4fW&JpQ;S-!E%{N z7-GJ2qY)>P;Ck6%8`#kxibOP=QzIOo)IAEZ|J*r1fI6#zFsk}d?{S`mxGgTjkhm!A z`R136l7EVz3~CO%v2U)R49Y}{{oN@S`+PSLHbi~$U%!O@2x?8f9B~>vCpDtSsF6t4 z!tx^OUp)()z$gnZ9zxLpZ&#R{XevIqJ6Dh(kp0s`DNb*0WGuJsHu zRhr$u#b*{FZ}DnexR zqn_H@bn4h);FE$^RMdOE?PQb=+pq3wpQSgITq(sABpR>~IHgFSDWX9S{n;o$kVmq0 zt`v=khCLBzEJ)#TBV5iNM4A6NGY|tLW_Gzna-ah>ce9%)^qVT5M@w|D@&v_AjY@oL zQYT8FOm4jcauHGQdXb-Gq}t(WT4H1eYBFKMI*}Wcyrlh44;~u^UQN6t)KhgqT z7s39DQa7`Kvgwnnp)VR0u8N0Vvu;dhEKEni{Id}1?{e88A6KFU-DIg*M>K>A1ZWTY2k6;rPAXro%h zmOBB%YSew>t|)tECV%o49?6IX$dR*WQx}=^Z!?^lc2g)g7r>p0JzHzKdU4a2beaD; z#o>v_`HDlToq*31sUR=0k|p3gN&Dd`C9~Y!Dnf)}F#+}jKbTs$uKsF_5*lI{w|{ud z(2RZ;^a(uO$aTHOboO4^hL5LmcykC_GD?E4uD86125fS;`eU~I$TW?WKgL8ccJ=aA z=TsXPnW45opv~ESwCt#6QR^Rk+W#_nUbs$+&YK`XoAaX(h^*wusfq4i#(Uo(+pLp= zXp;0t{S_*Y_jL2qMDm7a!w|D{ZW)OriRW=SYY`4h??5`%G5>Ixg8_NK6OJd|+V|l< zjYi9NCpwxKk=o^f`TX&Tr9q4-n2kkBpu*W-Puu0qQwReTGr97TOqCHAaP#d{jzfXo zBCz6CE8e1p_!~t&B@!G%dr{YBdL@4aeFaQ#gzuC1A^DGe-Q7RfUf>zak$$I5Fy%EI zMsSVBQk7>itL15a&cGInMwHfQdBPYj9 zO&2G?`1cVgK#YXn@=YZjrBV6m|C8CKXe?f2K(K<}Sk-;dm~zmOnf$2jqFECCQMafb zj5E&?y3vrgm{lb2!N!n7&e!tiMVzqCyeOBDqlK5b2#}zoNicv4K$LxbFzTH-XMmaD z9G*fr1^MPU-g8uD{pKxX!)2-JiA6D3W=_W}jlVk-b2$$DWW88kJv$)IJE+}k^_7ax zT`pW9bb;Z(wz-$g3@Dnp#UhLATJ^VFU2p4Ix<#T3*5Q1f^< zZ8+$IJv#(n%7V&jIHyx+wCj%?+=wh8P!%B^IITmo9Oak2#MF?_kxqQWO;6YQ=-eXk zY)(^hlhwZVNNI95dNxMIU%}Ye?K|9)skLAC^gjNHnLh}}xJgrK@wv&h3J0H>yy?}> zN~ztVNntJS9P-k0-By|W0M9|1B&7rcr_CLKS{b(CO=w<=_AMb&m8E!HGGalRHuc&| z7?CY#?cPq)3G0w55bUyY-|c&(gJiG58FK`SxezpAh?wip*>W^|k^~raGTB-33Gf`? z;#?j-HeR;f);e|gTp+)Sra4-Qa~MXoY7=fCfZee2EIe=bn+q9+Ww|C>CTb6mHF~h< z&z?kiN!3d=c^Uk{DZMeF5bRC1J!Ca}Q|YiuSiPlla$S5jU0f}xNNZ4|m>wa=-hw06 zj9%7~BA^)VAkjT`d{s&WKFsR1;_KtVy^>bHtI@D-eKLJqQdmTvR83cH9=6A9qZv0}JgQ|66Z;EZwfF9Nis$)wP z)f7MP#(HRNchgK+iU=WwsGKU)9(V%owYxSGd=;udG;oK1oG4+WPZG_EWG7}&v(x|C|6sR{xTHNwr?rWLQS297a1ckhQmG%A#qCofV&fok?yu zFoq)qlpZ<0o-gGJ4Y<7wbR5(+{1ZOK>oAgO{~X7n0{ zD2t!aJoS#gOKivTMS-EL8??CD$n9}L4x;feU35eaIs`&|@v$Cy}Bc+IlnLyWo z`~CnlBwF!IO7dn8h|u$Q2n{+2@O`>GJI84}6W0Zy(f&u3w@2!)_bdeeVnKFvRwaK; z1Ck~Xulq+Fv6D!&Y(5NGVkSz@zXd)p{yPF+Tt=H^FII_eVd(orX0%#Fi9ej}E@K0I z_I2rhZ+bv}A6`~?%k9FxuRKXM+D-UPr(nr4c<}ym9AmgYv1IX@zx1<3KefL)t1ob8w+nc#WW& z!_7W{CNayU@wC%TwpCn^=!}L#23gj|rNtH$B+myPPO6q)e3dU8ByS9AA};};g((~0 z8H3c(0QH4brBTH}6(%Rm>;N;~21#R{IcseN%m{H%@aKxW&n0&#Y1EoizdS``G^*!{lOVy2Fwhz@Kq*KJ$qfKc&ni6?hw0xbkmV7pygJ&|+!;e0 z`u(GE!j|aQU-`cjlrvNNI3!Uv7ckQ=43w_=x=#POd0``on_t2}&Jud;=K1|_oO5(n zM(j`E9HSr%ueQgwC^tzk$g0ih|Eax$HFXvPy`|B>cGbWDc~_NJ*Nz<5#uC_*70{c? zotFWc)}9`=yxRcxUKGeIa540zZ>`vKx%1fMbzs&D1!FD|$uUsF1p1O9`e%fd;_*0Z zVF^zIsUA()*eLmJcwM^4tS>wdD(`WMUz4~zl{-6&8~n&k5uIuJdfkV25zUzEm$~N} z0Z_{AQzfz$u%lKAAc3<)tecVN*NU;r@0*{ww3{JDp#4_*+uPc$uF>4cCUBAk%y6hK zI23{1!7~cago4ihM{f#jq$YJWIo>i@u^a3Ut+aez- zW&!=wv$E4kSVq-D_x+-$cc&w<+nEN%+L}{yIbHVD3R(!Wh!oAWva38D$ztBdModmu z=}e>7?utuQ1zOAYf(>eS(NVk%VMVxqnu1m*PY4^JLVX;ZTecs-lg*6b{(g*?9h6aY z$ei7pNo`Wv4^ug4xZD5rjhWdE@d6g4LuzZf=zfzWOQD-tb+r%27}HCBtoEvza8lJD zG($dYZ`L83k-n;9Xs^Y2>Y%aK%I zcX!3w`!YycF|{j)R+dK(CbyuAxILl=p8EG2X3GQ*t9Z@|yPeC$Sp_IgXw0?Zlmj(x zneXT1{l7&l?MJ8$cq*;U-1*s5-S&C|q^PQOH2A}f>}zwAy>_kEXMgv$+yL=jR5r3z zh1CEASNR)2LZ@#gUD=|!K0!e5u*^p-S%WPRHwW5XDaL1d_LIxuP~uU zCAnBXv*vY2hR4Gsu81knkUB-L^$T>NTYb)DT2|R{4KJetaqRJa0AvbKw(`vtoZ$Js zzGdtn-4OOjzwItyyjvv9p{=!RNH+nt|Gc`Iwm^RgMInU-20-tl6scnqh34?|4$Gfu z!=85jTI&w}E4<1Wo2t0t`?)#U`-{zkPshp2q7NGXVhwcn+PY0xy%3XZsFW_7#Om~^ zcgmmt^bt99*29=ezr8)`yHmT~1=;qjiEop)wcO^8cxOquJ9!xmX45^G<@2wfSipz9 z4wv6sSR_uw`4gPs(G-Sg{yrG?Fvw!Gh+v>p4==$?%ty66XUskb?U2%yU*?mJLXZIB zoi|X=CHiCF%!S%zG;SJiNZb$4<^zr0#qGq!ixLC+P*gtPjw$NDjoi`ox z!{Ad=B9l4KU}f)-mRSu~^U`1mp!!sbEC10|<@Dt^;+NC>0LYMBuVB-VGF$bDMU2SL zTa(y-gQeNi6^Vm+;6nb*FJV!W0JnvG?gnW#?8L7TbM~^RmBYoLo!0Eh%w! z2PF&l%0ipOED!f{9zNq8?>B&~Ky5-7?sh%2sG)(zjtMiR#k&7AB|?tQ<=p>Q`C@1N zU(IU&Kjn*q{SW8=t$gWSCLOi@=OFoy_+-~C%z1z|%cQ)aOf(#ir@GXV@zbg`{nvuT zH9b>(TCjX9^7Gt07v6T-JRcx=|%QcY7<|`lwNS(2`IzhRnVg zxuWd!8>QC5Jo*E3__jQBJuUD%X>SP*f0^*<$p$Y#neB{~iI*XbBD8+yr?45UqK!>+ zG4JzaRnM#oFXv9KeD)k>m%e+AEl^>?`ycUpP)kp#Fc?R!xspty+U;DJ!<^PZJP&+)2Ql$#ovf}HlB>wkDWX;E;@B&H8gc`U7Ekxc zZpL07MimXV!^CTZzEd#DZWe7^S|wB%4ouM}cK7XetrP}MH)XmUG}t5%d{wqO2~=^p zkw5!`ao+)`Y;Z|S^5qocwiI&y&YLlLs{28dS`{F;x38@fwDWBaBPlz`-IRZeKtOL_ z+eWSD+Dt~+5EiL*l`|2v9qm6Th1G>E+CglJpP>!PB7Ozkc87=}F5K6PM+~Ee1Mg@U!I)+~9>qu8D8Dss_h}lK=3U*b^4yEgaxff2u4Rc07kpF*>AI8#2=F_+ zq1^~4vAMgu+3NS48^}^H5UK3CCf}s;QXVZ z7S$pIQ6p-+T4ylhxMfX|G|8!mBr(fRDIcltSK*f~_d3=)dZ_&fel+XsuvYi)q@Ez! zW670iU?;+Fp;(#-1VOrl_VZ>|viaKh`BW?5sT}yI@ZD}PdbV#Z5*X-n`MSMh43ocq z`&>wtQd{-O6K=fPk;07F>E13|P%tOwwKS8lK(MoUDtXQfT7XA3l@p9gi4+lmNld^0iqIwT5`gx7D-($HMgR)eLQ zW!QkX#c0yOC`@Xv;v#<8?4>9J*`L^;b4J=aakgXr#`WT+1jMVOYv71H!}LEfV>ANZ z{;B>W8a@r^kc7NHWJ3@Q9IbIh{A+9azREMscuAq>B9P(6U^g8l!{2<+14|&^y><)% z0loLaRYgCr0hOFyu#6x&Vf9#~!E;NY;wX@1)4>W{M#KzqwJeH*1URJleyzp5djS~& zcc^TQYZK^H`vHuAnmt)S-%2EkaK;K9_&g0&-Fns7U?TRDp@nC%*Ovw)=oBM4PoRS1 zOjZ-}Ud7}C6M;rIljbS7$JEqfVGW0$Ou}LXpR?Yms&?}aw(FQba}2KE+zEa@?d%6K zD!M}GD7zzx3@0;Icm#*suJqtRS4ta4o-d*y3dx07RvW%UsgA)yeKvy!=TH-I88>1L z()%(Hp~Bo(o-o`)Z6Ohm4NtS()XlA#B3b9?1X3&cSMm?Kp}mWLdjF!KHm2?W3Vu?Z z=xdEo@l5{)vIF`DD{<0-=|B1e(JUaEoWFk7+e z(EHpRXBq4pt(AA$3*1Q=MgBwc;|&b&5$JqJOF7oVgUl7BHYR329}VLxLTxK$d&~8##GuC*F;eApCGAa|4MxJU>+cc66tQT$btBXGbsl z5bn7%KAXxcrKjYFo%EHB>dpyfDx!C^Rn!Gdu(}*_3Sgl?y^%6JEMT`7okkB3^zl#bt$v3%l8s)hKq-&LUfB&Q}~$`ZMzEn8^UF zqmzSRdkk9@)CirU%XgVf+NWsp=40MKd23K zgY_54mSgTpbnsRhs7Q}Uva6LO(jz-fcyetnj5OJ$VD1JpaAhq-0g|0AjSM4;f#bF@ zwv4M;>tR<10MBp7w)KY39XE(~5T@Xx);Dw}a zamR}{1e3lHv3yz);XCxm1>fW(52UH#cTIFh~g-*&PZs(EWr%VXqaS^UR-1N@F~qOY?J+sUhW& zhV27TrTAC&rfE{r(?x zU}d0ZyZy~){7-qX&L<_^G~$`^s;-;MDY(jMK6hf8?^evLJUz{LNdw|MhQxs!gU zzC7V$(3+z)>uF{!%3L0}2szFB^&?tvVbph@_R%E{CHc2&4%1S3TN1UsgyHqgg$3Ry z9+D2AJ<)RGMLb9_T6J@>Gexx_r+fkuMzqb#DPMv z@v!+y*5|_)QjYX@NNVjEA*cpg%wjmp=c=v02TB|=WJ<*{jt@YFU~B3yEQR@f1xtfB zmLvH81jC$Z8!;o%F{YW0A4Pyn0~r-!t1}W)XesIWGpK)#iOP2U4b@^CdI6@mAF#TP z6dtGX>01jtcFXuGDd76f-su1ade&PYx8_n-M}U$`%@IxR?ohTdV;BIgY&RDT&%6?2{hSB>p4A(&%k zd)in_*HbCGh3-Ib;oEy(L666?4DkBfgH&i1Y+|4Urz2GWc?`eJy*3rC>=pK4n>1Tbw(Ol;D;6T3lKsguNUAp;2Hf2(s zS1F&XA&B_4loIc{bg>LY&=9RRJ}59yZK?kQzY;6 zsRAjl8WFc7X`?j@#{0Yk01;;(068GRr53pp!r(SBTNzMIJ7OF{#SOQs+xb*-1`%N6 z6VmL8IhtLGo6W63d_m9y6y)$TJQ&;_Wz+DDS4jPI4yu%om~F+OKSGrNNei}5q}<8` zWh$LFPF-J=D1Ay2j?8Bw}VAUVB&jeAO-phph4jif7-d;kpkVpbZQzYkM2%``T>I)TP@=; zZwigXY;i+ydQpiI9E6leGKgI%-Cv#Sy}SuoE*1Zlk1{$7V1o|42+jn1>7dyEwN$UU zRYKqRE&rEfQqZqamwZ^*n~e3L;U(VGw{)g-j(pI$BTs z2)v~h$VU;)ojML@?bzYyn4p_b88-YZ^N6s4dEL{K;T?4uLBCHaCRiZ{B zuALqLW(^k}!=wNQ?%DX`CIU^Me+OQZ@f|dgX80AC1LuG`qt{hjk;>)ExefT#AWzOC z5gz7`&rpLD1pF-a)Zzlw$o%`ThU#@ z&K(ETL&6f8edNSA^ay5>!}J{=IuaGF+TkY-&_SSOYV5caKlq^B3rv5iekAFG`=G*<#JxA0rc+%mRr?anh*6`c2%k~A(@2xgz% z?GCc$G5Eb?#<*9;no7AN0qQFsvxs+D&#QNp7Sxn5l+6Q_X5OsS+@DM-(%sqdL32vE zTMbH34h34#0$Cp#!rVW;ZI>*-4qQS4a?K#*lvu~kn1Hm|t60I!SIjWBPh4Y~JlAeI zi}DVoa}WY+T6sOJp9-Iqp(oQUh$oUZdukoxU=uE#xE2EQrf1{6AhWt|#0FOmvgt1~ zgz;|3TfBA=yt`eaQFJe zTgE$jpq*;C*t9-Oy(Xakr^9z;Y!Sef2!n?CsWlW6xf$NdP`Bp_VW zC%z$6C$i~s7)y|qa=YME(lKhO#P>6K(5W?T9(A&j<9oL_?EN2{NsM;){pke*p#o?3 zZ+~1&mn_L7Y!xM3ujlOBa@Uruxf`*nCJ^)$sSR^Z*NTHZr>=dSL69{bnPSi1ptZ<` zL$2y2o1UB*^WR0zjsF15E)5y$A%DBrSL5(@8SD5s@{w1qJOwt}l|%qZT0~8Z|8-R~ zbEqD2xW{BE@M6o^&dkV+wId)+W3=6D4OMoC)0y}Z$LEV6=99TO?e*QY%(d=b zlkBy^a*K<|#yn%a0NJtYbPTD1_S6wKTJSNUXb%HH{wGm5-GTURRj0n*oOyL-Xd^`3 zBW_ml_$S=XWw-`VYN+_{%It2sZM(HRwY~PPxz^to=>V_vPkeHfCW%5)_E5T`3Pa9U z*Zcx~al-zL9H84w=pl;b284Ou@=b5B4O+|xc8rpb*4KVxAeBBqExKdplb0O&Z`YcQ z@9X%p3cN6WwcmWFByHBk$^O~fsvjg_f|a} zAOenY+A+;XBf!nQczbgBZFF_mnRzcML(Ny!N9*Sejl4rJ@pxMog3D^gLI1vRw0D$` zEmlo$d^grFJ==}OxwB?5hP-r_EvQEKzan>4RNK~~dse9_vbrnSwCmBg!P4Q~gDp-! z5UfgEVh9j#Mvr_|ojmmLKq?Kq{G;wxzb+hv?t0o-4;Uq}bGJ^9ga0ysCsuqKeq2}Z zh#UQO8iZVBz&r+D*z#-auUI%nA^$RuT6TROlOt*VGoiI;BSaAWTrn6!|(72YMNTAK1jQ*jRH|lW-ZRrHXdL#Oy}U z=CSSu0g5;+JZxbh&W8SSQEGb#{PSnm{xoZSsQZ`*nHd(niW9xYSh8htc*Am?@`4$n z2C3fTkl+RpGV1!mmz4=={r8^ z4wze$-DGFB$$A$Eruo6K{S{PNtFOkSN+nznqnu=w-yN7t{yA`LF|T`PJfFkL2hpZ) zcc*KGjWhS%g>CbVmLY4}c=2sYC``%+fM`e`AE9EHEeJ$(Zw@b+v2uXJOvqA4R_bLW_G*)R~jX)0DZ3Zg4EZaXUS+lxcxEg+) zKj%@&2Mrmsi>Y}^F8xPzZN0?*Tom}OS+rLq2?|462yKuTFnxfw9zpI;gaL?W9$+L+ z?=z)2)H@r6H3Q|d4^VS*)7@d;#!b}AQIJld=*WM1jRwW7c`kSpbzD~NUY~M>EUH@p?RX;q_n+) z4ITchhQi*$vPFTPTOS=p6Y~xlG1X8}u%{#_u6E5`%ZM2Rti#w&b)y3}@+LTVj`Owu zcQZGtK=-|pxjkLv2=1Q|%t}DlAzg<2;lJ6F%knp?f*cvE1xj6VqcfuPF=!%t(p5?y z_=vIy%s+tn(z_pq4~Og3J#E*USo zxY0tELqAK!?~yGKmpdH?-Ueqc+L}LhbDELfHLsnEZ9uPgYUGZkYoW@4T_CJOx5s2b zwnjk090KRBmf-_(Q)=%WImo^1yz7i_PgnAlSmHgm8sjeFLZ<$<#9Dw|{xT0P-mIg( z2jizL@f36KPCFKr9F9Wc9MU&e3 z5aZSGw1Apzl1*zXnEZ<6`5hNqfYq~i{EKchM6!vGDT}-pw&VaiRGFB7NH6;P$Lf+0 zLDTljU30FR*(@?VX;h@^k~E!xS{~y=XNQf@VQM1*VC7`f0jkXlz`S7HSP(Pv;wNGO z&~d0y67S_s>crG&Qo{2{tc56i_>HC8N*)Wc*I&~Kp3~5}Tym6N)eTdTsS56m6(lfr zXy`j3h^pSr%=)h>&M6^dED)fMqjIilm9j*bL*1mxyGJ#+J}dF5D%ojPiI(x;HV<>hIBm$8ZBx@kWf6G{HX_=aHL+GCDjJ6_h$FCh?(64!F7pg zXFQ9GpKYQ3VVpVm?nHu`g}QbV@mmQ21~QzSDu(wREJN?hY{J)ld4sG5XyB}^THxnJ z^zaFxUm_NvoSXX-AYU7iN^&Ur_!1)O(D*gtddkM0t(y)c zY2o!plgd9^_~qpr3a}c7D?JM#U|oEeh8ho;b>nUqwaTUhM1-qQR2%wTdBf&~uO3yd zVnb8nY+^nI(kLa4zxX+)Ax4a#-)zOrG*6N7{+-uAH4EwilZmv;m&ZRWcs5ZDEC;^_ z{hajF| zzGE_O;?e%~!em`AuJS(St&FXTsEqLr1SKqV%mG!r5JD^rIJlNZG->ndEi6ii3Yq1TblGGHEkE{Do@;0ZjwzH5@SM3pasG;_=g9JY2l5D!jlzbbrl`8-7kT>($Ny+W(B99jhHCKquMea_a=H(s75 z^e0@Zu{Jh81GaG*g0b@_bKCb85!+Wl*tD3NuyTt$OhW z@pUBeLW50Jon@tr$^b>kxfa$!t3=xar~)pq&+`y^kK^#F11)+@ifHt0scq-Xwia9y|N2QpBla>8Hl;Umf&4kSn$J-w$zJz2Q45xm8Ix5w8 z)N`ES(FQ5aRJoWcaGG$P0U$^)fW{4PpN>*5FkpnE2|9AQ;ucH5sc!m3w~@$C(XO{i zc1Hf*-uIJDb&HmbTi3|gNnfp+nqs-s?faI? z%AYm$=^V|AipzUiEjG8M1MpT8x2jJ|Kl$9ymVCnXhRevFD7958wn_L(7QKfkm-Tld8lP02I`RF`iFt1Uhyb-~!fo)6NPW1SKNN3l%4h!jCOo99B z%K2kM`zDlliDQVOw7;=*Mqxm-jbmkuSU3Vc?c6Lj^J*!l`371xQic%-0V5(@uF9C| z4gy|Zj<4Z8P(n;y&f5;^3tq$7&eHqGDcoYM$)7ix1#(^101nsgiM9>WURBbzmF|3o z*Z}uPR`>I4zjxn7E|`ozGGV=-+V2$Vk(sbjbMe|bksL9pb`!)~cpH0m%RkKB-8Sk( zS}B>9*ANl*i;wS6Ke)XrE~-tjJoSKVIi-J?P{{@CP#Y0^Z0AdH@kzt@1lD|--BjjC zgdJoAGL0d#B&R8S@!eWwb*jrtY2gWiCU~JJCS!1C32c}AXDVtH^pmi2043~Pht6N1 z{6Th*=8=xBI>onEwg=-P1qjQsM2!TmTz3)JNGGMdXsv9q5VaT$?q_o2RI?M3(T=H` z!P+K%Ie^k)W^d1xq)s@AqCpt{xbO^2V*BxOV=3P!(?+(OSmedrNaIPN#N_}nGqGur zAH%bU%qK8j1}ZK03S#4_9;V1 ze-q32yCXSmj_`N5L}+8PRW zzY2S_bZQ;Y{%!w>uLte>C1OO)8(Sl-Pcm|LjG;?N@Sn%ga#Uy3M{l|GsvyqYUCqzghH#A{-$oZc|0!E^QbmK++zviK!rg~j_6KvQQlaixj-JNc$}dIuzae(l)_e~=@C3iG%8 zExQVOa)kgBuYy{ANyPmN2LLP>5;*@<&S~%l}EiYpaNztc5of76_bx^i|;hsiEFt)$6N>t3*)ylAjnij7;Ev82?#LU z&RR9C(*fGWXcXIfvb_a%w*%MN{UFh-m@+He&{3oq%~ov1*ug}FhpJevSnC{r$?SRu zxi@aFx|duxS%PQhnw;Av5P7-7#mtsIzpRcNB6${YS~9vh{R> zQ_Al;p;{~LPcx-%Nph4=0>{KL5RL>MvB)WqnbSlL3}!=BM>3$vQm<_tQC>0x4-h&) znCCPEz!@%i!kJE!|1AEdYLGFvaM6$#VH?>Qc764nZGqaBL~Ihe z&Yj;*Hb)Z6*pA8zvLK0@6krS91K_WqvXi`cN=g2aZLrbuNk_xAuG^!pJeqR&Gz*um^WZ+IHRT5JX%sFgty;+3Cqs~;m> zOv*55S(oGN)*BbdQzwW66}VC!#k{uf65+kz2+Ovn9n=CK^ZMi05E4yVwDI8(lUX7ml?GLgmbiZ~^ZU6FF@+d4 z?+l@^C8r@Bw3)e%wB>lPba2mC~h0=6Ujz6stPgRgTq8GdY%07)G3kr~G@ z*=8OCUO-T?C4e#g#)Gbj63M#Q?-Y_dEtsxXHr%hjT-TaK|p+W353z1 zZ!W&J_S-mdTT!Pi!t#$Fc`gfNh(oW`n@y5k+g%$_Y+T*Kc1 zGSkbBBN0&0_nF|kyx-w=1iYsJ{Ix4~b;AAQ1R=iAj&cs^{+QgMFgs|&;;R$UIHh>U zaIQ$g#7_!8@!ZQmVU#;t2LtaRd%jZ&MkS(At6Pc{SHe3`G%+~3e)E)7@5W7%JbwY+ z*jLIPo_cvGF&>RBqcM1s%XhRsY=D+0BmZ(M$NA{U!hy&{+diA&Zy)LL7S#qERDh^^ z`hL-|Vr4)&gM)+XXCsUP@OFh3@_BbQyp}w_iW;|8pEy<=D2rGx4krYLCnldPSd4Hl z)9o2?EgdqqAk9Ker}LobYwH+$QaMLFs427T^13qM;tdD4OGh-iaE7f6`$C)ggnJ0x z)EfJ8eVJud|FlJoGHNV)G}W=yJCApykx9So-ryMypuPu^c)EA!l{AAyc7w{ZV|4vW zOEb5wvBWTn^dtR7X8s<5w2mAm8vw4=kT~5|HtA&?Zc7i1V{>!;A9+c-vOasgNJg%# zEgTP2G^8JyrOr}Fx9NJ55WSn#O&!3NNf64l_rcd~ZD!TDy&io&)N1&>QAvn`86wgm z;CWDTmm8<{UP_W`CvyB8EMC|(PQ^S?5Gq^eD(3x81e7(vtxQM`HMzbO4DTzTkrCk* z6G1zDw?xDYc=df7t(r=>qrvA+q}#>kk2N?jYdP%>sf6QM`kLJy;?;QKzsw_PDi%dX ztmXNhfM|ZZYR6HuHl`QYHEj_VaP8+0qYZlmU)(GetEg1M4c__Xd0{@5v)_lEZZoo( zH9`+yEx(tSnXkW0hdUfZ0l~3Mecuob+v%1N?Bvr`Ufdavs^L7zl63$}|ALB)AO^A> zF~gl5JLH1_Csfk{V3NwR1xKce2TuAs)1fD&?{r;eFbg&tY!w)Js$>oZCfTV&hS3A0 zAy4uf69j95kd^V-dz_#nE)au*=m|5a(+x}lgF`PP*Zp*_iiA#W@0hY-oh8?LzA}h1 z73#+{#5}UN4Uib#WYY6%*%=rmba->T8%^|X23RFeE=2XEhGWbHeRoREpeuF;_%x~n ztH*XIRlzfAjYYCW5}hiJNb;`$g`IRTS#$2fzjZ1R_5sq?4>ly2N%qd1qK|n(4_YcJ zd#Es};`Hfi(JQF-VN&`}WpgK%*G16YRBF9yI!Rzh*Eu%+#Z9G>&Y@jVHS-CZx=El? zw?&(#HMk~qbM?X-Y6lb_kdw+^CyY@5N23$l zpl8q3S5w&s%GUv6z)LGN=8kOHg?$oJDg4w;kgWS+FjOd3V=G*~d|tAI0#&kQ;;5!S zlEG;9kGsE>&P&!?SG5FynqvbZ!w+Y-AgkyODwl8mZK~xZ8@xaWfQzj(eF!Pl{;Z;} z0LfpZQ1k2xj(Wz_z3;@rJy(e-4Y}+4q0qg`$35(r5P-=eqFiINgX>H{y3q454dE0t zDKYas7=!wfO6T`6=F8-FKA2+j^VC{-cphDb{4056$5X>b5bvWG|P^J#wgbH1|U$RlWOw`5yG@0S~9m$3~m#r5e_mN*dZYy zj~YTs=IW<1++Zg*nQ5*Zd=2OQ%1m8l1d_u)E_^9n(>QT4SzE6Y2h@$*r#sR((w-gZ z#(ZQt)r*V^RM21UI2eJctSNu9OGd^ofPxwwf2x#4^W7osj1*+!7j%^_L+-}nn1v4ZqxaS=BY6?&# zE^K*C{(3}DNu}u1ytz7zVsITe??acRO-n>0 zRtz)R+v;&sN8yE~qc`SMojd4ASXQMIjM3>kPPnws>Nwor9HtSDl8vCg_4;)4SCUVZ z&#U9XmUtr(S##M9Mzqegz_n~pI&eDVtXyMZLcq#~1GCjle2+b9GXH%kVt+}o-n9M` z%)2@dHWi7(?Tw<6tA*hlwBfM0?Ur)M1e-JLL&7&6CA{ftt5g5HbvM*fA!|*PP8*Pm zuMp9>MuMOF%-aig`|v$S!+4)S4?!&jW=jt@rJg)uLLb=iUHXu0!DAR!fmz>QU$SSU zpI!1#lhYRLfjS0U?U>>KKK^3mGPyS)C}LUlZhS!62^#AM zOY&z;JWnkZvgI3D{#gnXj{sd=3$rkDgb-OoFvN8TgneJN0#_5nP;fJqRNbg3f2Foejji?ku~>=r@Lcp!NOMu6+Km@NcmxWn3VYZsS%p6WY^E( z{o0MKn{p+yLT3~IdE)20V5e%Mght!3Cu1|xuIJM>?%}kyM)&)4xK`coeK0ln$x@_U zLZl?Gr-VuRb1ZKG(j?t)0R7vgU6X#IGxcS4_o1aq{W3L3srUD!wiaosA#ohPRu`d7 zg4|eW!J3Ftx~U{_{b9IQmn1l0K0|QB!s& z9Xu5|++{`M)binCn7;#tu6}A#H$R@vkR_e~Vc313?Xr;m;>5O*4K@JGnp%V@MS^nQ zAfZSKu5u_3sz>V1J>yKJ6H63og-TKx3GGW3aGSfcZAsI3(eA=S@mei#5L)R@k*Ysm zPzYZ0cXapRSmzl0kB`xBO69w$T3d`Q+wu&7HM;2f+T@?^4^r9lE{*AkZ7>D71Q@EC zGC7L;K`@2tPOvx`L2)~7wgprW6=^-X!moSwIk}7h|K5+6 zgM`VXH0nYYm1i&IG7;*F=9AQ<2w>jVJ+9Xc*z+>fh`QjxJItegFAtbzqQCNM_6pLl zyh0uQw}N0;42XFaC3HhOKB6y`Axm8Q2QtlLEO~&yV?~fK2wLXwIMHXH^blb7qFsB< zG5$I25Axm(nV?A|+pf_2M;GKd=p&$SS}a{T<{I86zyxq$J2eN`cxKJawqvSXOjV z@}h9;sRFO|e44+-pUb}@tdRDZrT!``O9{%CTd?1@Rpa($_VeMb6=oh3TvySIPZ%ByQs3x^WUUs~H z%8Doi1~v-jRBwPcTK*Ags#BwNnRtxAWw4UMG;>2~OtFzY|E|WGooTkriZxh1YOfp1 zQbm4{sU&Mutjge8tr#ywCR8dK$#l`K%JE+zi=EwS9_jqhkpoZljr znny~(Hd}Wd4tQpsK;1(sSr8cbx1jyK-^af%4x4O$i@)~)ZH(qTGh%CWAzwLd8n7A#$Hw*rJoVhSC zVE}$3{MPbz_Cy&H0o_Qo@d%6XM-vp_!-rGEV9#;Ljs(EQBqeJCrb#}BDGApH8y8YG z0~Ld*#fdp3fZ+XWv!jXhPXeL0HY=ebco27>+q;*-6NpLdAcDgA&f&o4So-!S_5zDB z>bvJ)`VbfsY&O_06aWWif-cw)0*_3D>nRR7r8X+T&vq_DlmzDmz%6|iMdAL?abR;b ze$ZX(f5lX}$C2fuD%>SJCrBr3`S&vD8%S>DDAxjcAKYvSJ~DU1eVs6VU(6yGaRlyn z4+l0kN+Ord}ym4M`X{M&q)eHF-CKvuoE+8#JlKVHHr9D`)C{lG}ji*O~d++{cg-YfUP z*D~NJu*9k=uh+i_Cutm;V@usHG)4JogSbaC!&he@FPW6ot5KBva0k+nJ`_M9ggv+` zkW@TWH4&|Nh{QXY3)%aOGH)?nuu?VjTYJta)IyIN~yO5hWwK5`}i`{pTQJIV?RMs5pwR zT0suaPtm9mSz4+-QS?c1-U0kui3EON)Z!3cNL0^KE)dg%suoM@^JYi8P9uit9((jU zvnh$Gps^_BRRSR6ikXm2yO;q3D^58!C}^D<+JQ~mS|{qI=pF-;{ieSFFut0e(AsOi2}q+AZMwf{7I~9|y@2h1v4&ga+;H z3|;_<1f*p<3n~DxHX94|PI*I)^WDH0nRbX>9PcHL1@`E{T4H1&?z|s|vCBZw0?1RH z_}m=boGssr*TuXpYdr@uz;or0*_&%drk^5*;{d>%e|@&e8>aG%Bs zq$$Rm#|gP&BRukNDM-BE7=AtyIfB6aa~S+2v+{9xCS z)VU2+nFG4hlbO&)%1T_DD%F5&{`Rz9eIpL{7)v9@n{k)eo$obO6?qEo6&(cjhk-?lU)|fwjdlnQ@ETA{vrP_)>W?Hu zGtO=GQ#phJ+<*%tz^|Fqmi9Boa2GC=n7Jp99v0KsKR}mly`Sb%2{2%0akJE(ZT3)I z_^A#c^Z_iW!~{_jXkMEFZqqs;8=mca`sjZq5@p~uAN8lg%vD0q8s+;-q*-l*p)1I01AmT>68lr#Jbf^YN0u;VxQH|MVs1dqTi z^Ybs#;heH?F)cWPNdX}yJy{VZmH;GG6H}=R3)9S9p1QvQ=jJy;(L8=hk2P?2%CR$< z=n+zO#2m*5A9!fmM21+M6srU3mS4n`X}S*{EDTWTtP`b3V%Pz75hi(jh14QSd0oSL z<8Tl3v`o4#_TvmaxhA(0*)=G;DAX_6Myu1OYcB^%J=G$5*{q0}6C3HmW#*McF;O>B{wt6@D zeIeyZ@(#k$q^BFm;esbaReamV$_NW#qQg4twvsP?`VnPh_$zl#|223J3QlK|waWK8 zU<0S)uhrJnhyjpcdz}Gnefz2wRO%a2#{I}L(wliKd%yOTP7+Srrdb@Ov+u>UH zKKpK?Nl&KK^H{&56@2#7F@1kLy3nkPJDfe4xncj1qK$8pg3WX3Qd2rt!%>SaFr4~A zQz#H2IK2(jl8Fr~oD6XTs5%^GMSCv7@r2H*9V3N@y)(}C!&7g}l~aCqR$g?!TB^}9 zP`LRuP6WJibR@hK%E}}L3xLWF-(W2wR^NxT-O}g$VG5+YHaxuf!w-6cc?yA~zch87 zY(V1K?cygc9h; zN+IuB03obPZ#{|G--wkW6Q42zD&BbS4ctx;oZyy4QHG+&3Dj_SpiB+}b155&G6rQT zO#%hGYn3f?AjQKdYwwR00EDmKHX$tfD<%OBKR;@a<~Xs7(5(oBr_^W=K0zO~z7nv@ z9vAscEd8d)qOKN8S7@(e?Le11se1ZiO5K&M<_FMj(!WS10M;SNQ zi3B;r$kdaP0@$j!3jF%%h0ameqbRbMo-l*n8 zBaBRB)Kfrf1RxeFASAkE4D~ zzupXWrsaxtI(00s{d#JbPsQD-E-g4?^&T&FdHo0=ZB47lw>bc?;aD=XIVbWS%mBRm zTM9GtWoLzRvP%zdin$Mm`hDtFnKTJ|fv+15;`DSY)mc5C3M zu)~^Ut1qlJxL8FNz zU8hYzR6rp6^hr(gpLR%Y(}MMB&$p`%01o?A4=2Hf^XrjuG$re>v~_>d6Ib=x)nab; z7@NU%w#sSieakRL+S;@45oN#{=@X+9Q3V}t)N$}=DxDL$xT#L6_Ek=ZjxNvwUTdLU7vzXDg2u)S!unUgvj8zhFzrrl z`5$i%J_Iik+>E*q)GpvdjdweC=3hBYv(x%g>rT0iW`zBra5wpT(talm*%s||IP9WW z<*l<>auf4{tnY88#_HqrS#8qRG8b_7>?NIfdwh!&F}gg?0PeM8YmvvZ}5} z`f@Pqn&j~o55SMkFa=Yry2(`?A)DCgMy*|0@92~Rx0m$*TgpUX?^c`@|Db(oBGAI) zQPa1b-Rs708o96GCxkGHf?!4tuMY_(f0 zZ~FQGYz+Z_>}-TuVT9IkXe1PX=7diF^gYi$%XM3CT)2ht#pGvq53QNb(>5E`Fog$` zQ|UxKDZ&3|T027z^JyK_zVU{~UYm2N$0;j1nCnDl!d~bgXFG7d0LGcq{4&S(Jd@j> zU&`W5v%Rw|%sva#ac8ij>v?e1v)#gOPgV6P%88i6tKAG2)?hEMF2;_4q0IVUFL7ZC zsmkO$-!Q-{6;?o~^u}&kyvS83(BHr!jSb$?l#{J0X{oKd`qcNW1Qh`!W<^j*L}@XJ zEn9((enFuwK%yBA!HDd?{o-nuoda#-C!w#v5dQ)LwYgd-U}J-&gXH>{Cfg@14s+|V zB<*=Vwl)d?DXhD1n~j9-rAbfPe8Mtje)1mXU?yI{mZpg-W~zfbS4sm|f+pKCN|;T^ z+8r+M_7n*oGm9s;D6opI-Qf50w=o6W2S3wmG#Upiyo^0-cXV^`N<4b+DO)pr(nh@C z<27obXbbpFc`BMkfGAH4$iVBGs5LHv_xhlBk;{px3;vm)g7o2LWgu_X^bWG@x-|NI z5QaWY-uZ{S3hkOA$2j*KC%zrInLXgIn8w>!98Zh}&s;di;RLjR3F7HyR1aZTI1+S+ zWK3(q)66YnCCwon_KXSwNMy8Em$j@;ikUNB3MjX=o!ybANnH7UOcdo{Dc- zFmuEHU3f70Js-wPHKWe=`=~dq<~&+f-gB*kY?-!ud2nJVE60@r=MtyX9Sl-z zM{#?LbPpr4yPEWznStFEut0s=R_Yro`=Aj=T{_FJuGP|(Hm7rP6lQCcj@T}+I6FBm z;*bXtPUX?L`E6Fx%x?pIxO4>N75W?bxNp#xf3{5=4;^92s}kz$!qCD2*7cNN<@8Qw zTX4N~o_k5t!ASnA1kA|!|EF31?*MvE_WuWwZKRm@|pdOeRXg~=3u{?HZ$p`_V1r}=V%x|~Nb zPK#gnk_Er=+gF0Y(ETBlb^9G+lj1=8=6QW2xYa@e1p5hXEe$Sh#(V zKWp+2RG}XfW!j~v5l2bWL&Zh<@;y1KjCE;2lc*gDgGVU)B!!U&22|kiRD_2vZ&H$3 zZth~^S^64fNgry#Zhtb#;R07wME6=(Bo0t{ru*tJNVKO#($by4{EqS%)K`)&i0rww zY!vqTm!)+Ab~VG(pw@7RX%Ugbb*-JV)OGuKwBgzM-+}aG+EBR~Wu2pelC4Yp95^{C z{7d62`xbHEGe^bu)7l~o$zt(jOKN|;IMo+()hnM}nS5NnZMAN5>D6+{7Dq3qKi^NH z`>9y%N_%BiWyVq`Ye!nk9^f)@ygGsS-)Mr zJ*!LPm+^f+>vZkz+uL3JRQSJH`f~|U!ZSva%4m7k+;z;wb6LpFby?|BF8RB?z1gy$ z(oAg-ko7&L3G}7s!s|oHr1+)4IfioJAmq3VRf!BO=*Wj)acvqSVPB~ndiqqlHmg>1 z`De^-5!oM2Uwj$0ZmgbB1_v7$E{ZdLu5W+yq>ZM@viA=vFOMIt4Fo{~WrW8Z1U)Us zbfKI0)(bUCiP2si1W#E*ZE>#f@kufno$71LGWh=di|tTPZG3FEwChTiQYQOn+ z1h}rPZE3vDQVzf;TWox`)VlT-BWWl}>yoSC`a$iH`YNFdwrdf&t!b`KUUB8>#We+7-*XWoxF5C@PaG;^9x!771FXi; z6+nL^?fAQ5@v}d8;2od{i?Ka)h7!)N=A{IP&q@KzC@M_}ZZw&T4__LDq5*^e3==>% z2WZ8BU_(rUdQHLQPQ8IJYv(c+_V`i;r?)5eR~e*U721AAkkFH&Eb!%sGK`qO=1?XK zc*O7ylMMhIG1y%U&Rr@6oXVd;V&E&U&R0B6!;Zz{TvD)~1{5SSF_4Y(da_*pcA#UK z^AsPg(kq}9z3tV=g+3y2BYhjW;dPT@Cw94;q6gj8Lp=2ZDKFh|4S1i6k-oj#XygGD zGp+G$TflyM%57xl@R~cR16{y!_Z<)5oOqH??$3!x=jFiAnVK>kyjvw@dR-#0zsUHV z4#Lr(I>OO0HeuMgb_m8Qfdm$aWDtQvwT%KvPjh~AeRFwpH9zGp_#d}GA|Qb}V|htv zW#BkHGUI$>*isB~wEavO=`LA~i*ma6z_&A8=f_v@lgdjsb$5??T?6!=f$TzafR5yL)7B(&nJiov($mJod59cr$etcxej$^n)0}A+N_}iQ<~^Z z6H`?7pd|Cb)bGpg;+z`3^X*IO!H+!qZcZ)Ca{t@_xRR2qokX|iR zTMiluGb{FW{RFpl(=5MNSM%t-r*Xm`o`lwI+{@`>zMOEkz;`+#jALq| zwLhO)VR?2#v+M__*!R%UXCY!wLd2dnFFF)KD`WyhLO{O6vK24lP$+wdKp>Rk_%Tqw z>D6=uI6v*WFn^N!>{;9K5*${(aS?XNK`IrRU|)^Kt{xnFJbT;bdtt_HY1&XJ$ocS{ ziap5oc0^%6IOVR@i5v~k!~@MENr~4l!$cwQYNBx=mvpE$mT>9Svf5t}(kO}b&yIXm z;?LmhQOgfoXrusS1gn7956b2lS$sxwYWE5owx`t8C)Z!N@1JT+kQneR!vVMNw}KaB zP^-<#ccO>>Ev>TZhHvsv8_M^FN^Yk`H$2#ECd5$VI$kV zC*BO+Hbb}gCTt+xDN9XdpBw~ZLL?f&2Sg%4_nIW8Ct%L7++V>(g1sJ&62yQ6?m z+a#D(z^^;eBIp`CL;d6pqZ?*_{VW?Ge8+0%;3$Q`>PwhtjVK{aQr9dA>i+Yvarn6q z5OpMK0R#Se^%RbeaK=2^(u&qvxft8lb=V!xq?OK4)d++aeN6ubM zhDY!V5MnC#HwZ_Yqdo1`?D8*%1-7EX4i)y2OsuWB@ey2Aqc@^34jn@kL4DvnqSqg5 zYp!($IH#wSE7mQl{d|I;NDO1Ri;(|c% z#!#{a$I6lJOh{Hm)JB_(OM^xq#vHV9<2qDUhrWP?lVqzVgG&6Cu-eQ&}5J$8Kn`~aMcZ?Hh}xOA17v*w!j;SdC0RvC!H zv!(c=)XRg^$sTefIs`DM_TuZ})D`qZcE_-bdt zpK*niD_sy8Hf`ZiM_J_o+Git;N?LZ88$=)5qTOC(IWSLIEqU@e{JrHUnXO`QU&a4Jk$8Co~*bECz&c)h$WVE zHp%i>Wcn|_1xs?nkX>V>HEodn>WSE7win@^Af5iDNxMG-ubfwETg{<%#J26n#uKtH z1OSqc`IyV*rP#Wa0rDRccPVptUHm}Srq${1M_1n*_W14kdR4m@(6Ox8Z&vX?LX`Jc z1sL{)FnPmo%o*PNuLA`$C*%LvQ^N8uCG7xNV9x_|DeOZGz5fw4K3D7GBdF zhG)O6O{9m4z$2^^Iluzp07MnMKetv?Vu=Lh$()K>KdE&uJ*c`+wy*Dyu=D$*-rZ() z-u}Ff(sUyd(M83xyT!5-joUHB4~0+I-mtOvimzX&kw_x>G`MiCO<$;GkbJySF)MER z{Mp|9hBh6ui)fQDi9jZCP&7~DZAY|iV39u*y2$M0m3e8|=2wwjwsye6WPMpnW=#=Q zVZ*Mt%6)~m(WySKUDi7l*UK?HSH^X=W`9# zl_!U53U?E=fqt3<@#eiY_oUHePU-HNOZz?XkA%#E*3Ba~-3zz28B%7Zt=C~>uI~q2 ziX65=dQ_uONTvcOJgHckt;X@(Zjr&S7t!0=1C#W}IgRc6ER?Uz6NnY^{e>FopC{q< z<=I7Hip!l`nko~=rt)yn1SHf9U*o7vN@|KSoE$YG!Jf->PA+L#m*(0uPEy@aqe-Il z`r=Y*htLoh3;d2`u$;feYRWwqG0oTXb?v$G#gbJnXfvVc&&e)jD#Ph$`y7!ph<4k% zwe!;r9Er>wwPzx}?vFn&&-A@>WHkrK)dJ8Yjmu>RQSxFBnvopxE*yI~=f7X3#S3BT zc{SRC@qHd;_Cnd(x&e~<0M0P#dv7vB;aLso^Ys)B;ULu2g{`f(JCB&V{wWhGH!6Af zrLg97z($Q6=m{eeA>8Q;Op;Xszo1WiNX?Zq0!0boa%6KvJVBI#aW_1+?!Rj+O1NNX9lDZXB-NL zB_^KNb?)ez!$>JtDHl&{cM@tM-}eSYcbFH-2taeGa@0qVme_!fmR_4Ma__GyziZ82 zSb&;andonxA~uROp*eiiCCYz8-#aToe09pY35F73%YiiLnX1rD+?lk=MXi+( z;lvRq9?u^6`Kz6gzFl8qT0F9002{GzXG)JnU*;*DxbI|Xg(@%@3RhZQN^j~c^ zyL5_n`xTcU=5fH#IdVm+rF!6`t%tE(#YU>=bL{r`z24*hzJXmJCH);Y^P2l0a)C4- z!>E_}_IWZis2_Si!9vwX{zwYp?CeYLmIwd!ut5G%KEUUNns4jZ(f7*s3Sz+_p z?EWqBS|p1$Vd93&?&;IEpiyGgg1scmK8F|!s>;1rM=J$Yh$mX9nvg_;`{MRe{ZcMRsyCzUG~5cMnTu*~bgo0HIST@o-SQJ`rH=#2fY z+6m`n;jJ=0P@(i?S;@!B82#qMvkI-sbJ%Pi{hMjVg_UXL)={&ZpOz-)Ni{OIVa@it z&INNCheNpo*E~xN^aUZEf0N$xakxL{3hcv!m)Q(Fvo!DenFG!na18k6)8c2Yxz<~$ zhtJJGEj%5(QQ{kZbZvB+S67NnAK<3!Z!)#!?bl$HhWFQ>=j+tmi(PvCNxp@+F~E^& z@LXXTf0f(zDC2U79WhVUqz%M?PT0U6S zy67p8J3mpQMD*X%!68n$EEZ~U>Po!I4A0D5^QfqO0_z7swHx)5VItT8(Ofu zdthN|#!3M7dsCZZW)wvvk<-K(v*lubVcX zaKs=`;n?GXn_m0}@Qv?q4^ROF2GH~7rpzWtNRLK2V4|c&nD{@8ol}e`f!3wlwr$(C zZQHhO+kM)$ZQFg?wryihGRfrrx%2S9)>EZY*~waa?Qb3Vho?vw+nN!F`UIwg06MuH zyiVi8?%ovOxTyd!?Aj@S(?zO5fhjms80^~FToXLE(7_r=2SaDf5za=_oL^z`s`)J$8%ci;8Qd z<~R(*MLd?vke~jfx*$6pL4meX#4r%z?Jk&=o+HX1SB zysik*iReRVbn4kKNa4aK4OZNm2+9dneSLawu0r@S*o__Wwz{%u^gD}#qYY)|`s%pi z$4U&$Klxc1x4&>-9uW6*KNctEgBCp;&yg-vPB4tSW)}KmTkp)fHX|M*G@0T{>>RBR*eJs>K5sd=+(RAF( z5tN6pT$1e1pPGPWid**TdLqczsh_FD}VnugQ_mIzT3CHRXgpCUfU~QdB}he4lNs>Ll1g#QVUrXaPHR z0TM4!>SwG_7%}}@jc~3sBi!*LBv#s0zqmClNoP@Yxs4&Vh{OJeqo-o5-EI?)%80eA zyl>`-ljU6lB31bGTg#kE_5cPa!l2}Y2aU;2+LS>c!=c|5f(iJRA_q50Ql9`6mzi`B z@YTlOEcY2wB757;?S5r5*i<+Oe`Y#)4ySo#eRv4UsEkZAX)L5gXHecw$5V)H5ifsS zI`=|;OF|R>dSb3lViw8%4Ot+vcNhVn{B@bK9f3Z~mj#reDSNwp^)y`Z>{yrz<jM zVL*mKEV{5hpNJ9z2GBk{giiR@XY(|9J%n3;=za8n15%3$(sBd*C79e4gsj{OK~m46 zwTt_{%X7tM0QP|f)D=5M*?v)k218?S81g}1Ob1AcRtN&ZPW#6Co&?$*27HAN z!jkW>oXm({J2eYF58VN(!%`i0B4fkw>Ud=A(5L`52FR}07%&r#9KM#qkx?Z^7}0ma zrbJ%9?>GO(%w-B{?=4UgEE)3%v?B2E7V`l`vnAcYdb6tdu%Q0+25c&|9zupF4QKR4 z99CcdzNOE(%zT5FB*oTn8MON@hSO=uG!O<|VI7o-tj0S8(E&-uh1Zi}_{N-sZvK?_XgDK1VvGPJU@wiaK2rXrfS*&O zH)R2fTYN7mKNC-*uNCdj&`qseqb9+Bzh9w$asfmD_T}%VhXo4HB9Q#t5L#*&*F_2j{jx2ZFQ+Q>^T^fVKx;Nbr<*K;i-2$^Gs>KLzaJ`aC z-g}&T*W#U4T!z=&o-4lxir`Bv^>D_IRGFqhlf;hdC`q+Hqc%;?4Ov`>KaLJAq2j!Z zSQzSXkE3E_;cQNr3fm0s_in7Rpq`jx5 zVPAsoO=c%Z6Fi^}(`KKMhXl$aw{WZARiA}C>+sLbg8QXC=s6IyoAyb>Kp zf>JN=so-&OZ7^5^q}H?pHENXD(+oa_Wa?&4osEOwJ5F$0M9NO)UdD$8)ILRDIOmcx zrwT&*AuILtHOso?^g;fuV6tKb1%uQ^XVBcw4WonNo5ISHd~Gr<-l?3g9k_k7@-S4C z7%Feb-mFb^e9b}Ua30<|zS)df(k@)=k?9kSM%b|@D!%=oLFj{QyB|xM_~gpQc&H2r zWAjvIe?W87p?Q8UP)r{&GpC1e?8S*5*?m3H=$#?EHm$H|inYMbG_v(NvH@IFa{F=# z=9bK)Xa%P&Ug29cZ(m3?(;o>QjAln6LgvLs#u(uU@xc@5V4A(>AJJ03;Qf0tiwTAz z2U!VUdTsIT10C(B;)u5vk1PTx^}8F~>bPhcW$u4*@G4e7^%Ck>_BmpypsqK$u?=G38^aMx58ISqH}0Sd4y|Y6A2xa>Df7tJ;Zb?HA0Rs6uXh&81uDlx0LHn~ zkA!C1M+JfHV(MR)=|4Da@*&uX^rOa37zhye1HAPFh8!Pf)nLb`H*RWnZ6MrquJEcaCw^j}sdV9<(C3$YcO=}oya1}T_{jhPub}0 zHN%zds`F;J)7ycMq?PaD%gk@8e*3*Xt%B7Sr!Y1Rpn?0hg7YPP$>xf)(c`-F2EbKRnCK2Wk1Y{9L@b4hVzdmo2Y-o5tPc-Xa zD^5s|GR)sLJua*g7auS8g-F=BCvBxmdE2fM?U};(uG@;cBHSiF3I|A6)x+E2XbhEJ z{z#0tTP+t@!JGSXX30Qi3lH7ZR?g%%n%G!*zVF@(MkL4TkDTzI{9RWjaI2p${W>Vj zcaF&~Bk7NK1vgaa-_64ch|a&4N$wDK41tG7f9Fbbk1-<#hsh}I>`*`IgNEs0ynh{D zw|{}v1)~-I%jIHWV*B5^Tukh&|HI{K(USGvb(*r0z}ADweL|4wP?^3iJrv`jCpXfWDQ7RVHt9fvHuluK*Pw#9yC5EQ|VDQHd zai~T!8wynzf4sTh*ZoD0rkG{|j{hq}6CyJxV*;IA!4OD)>vlKN@?EutYHC<@oUx>M z*P+2nBZ_i#OilGRrc_Q*E=^@yerH$VGJkYU%-*=1iMO*^$@`h)-n(B`I-V{Bj{OEZ z>EK!Fg4R8R)OB%D`X;YvTYhXWO<1(&gDF06T*oi0nGJe9nfB5|z}E*eam=YnIgfXQj;KHUuS zGGFib9qVL4sqC5kXJ+yJAqJ0(2>9z{^zvn#0c~D!B{oOje{G zo@nVUhGcQTfV7r}%xCv$!OnRbA~TGygp~pJIq=O^|Lh7_R&Ag~@GUg_(Skx5K`O!g zL+;3tcGLti3Ti1oBqEjO#+m5GLC1*-Tq9fnQ**=C*Jdl;m|HR+n^>2VO-&d~tpH5- zYYWNWdJ^?$wS6RA5sa^q1-e=VonWe+_KDj@a2{^IbF`e7))g2=n5wr4b_A!_tdhS| zavhZ^9%LLD+}8<~Qb7Ny=(4F-`Ru~UNJAcJ$;rLRI-*YkzIzv-S@s2>Afp@{?yI_o z)my}KBx@~QXSnHOzM1aQFE4CHz$_J0cJJ5M#Iu!J!{!~Wyw1T|w7^ZiMy+$%S~<0` zjP4nIif<~nWGJq<5u5(6HM9cp>(%P1!_LDTVR=aAhA zV?N0~YI%hXj!x7;JGhz6g3#l4XX9cwl>ab0K)&A?_*9wS?tHvJQv!9hRVaA?ziH+I zb&CTu+`U;uvwzoThod`6(9u>~-KLhrvcg*N_%kd7IE1QBYt49NhZ5}^M$L?+rh2jq zzZ}B#F`z3`)TU%_zo0Um3C=I&-78rcaSx5ZMu2Jxrv#M@&3r<#Bo#O(HozuEj9=fs zEl$6k53-^EZAdA5p#Rtes56Wca55l(i6=6+xsBEqEM=RoMYlItjkZVn@v(u$+^awt zIWxkxOvVCSP^!wxeoEO*9;D@zZ0LNTD^G798)pV~(!%aqK}ol4F4In}L>CVGntS8K zpw&^;ynjWZk$KHlH0Ya6|G3Lr-s?$|YaYfv=Q=oCL_A;M@w(NlYkF#E65`u0^e^g*6#$nN@l2yedV}BF4}cwYu(p3QW!V%lzYR0?k}M9TJ00 zK^hbXF@Kd3M+?1td{1SLt7}XOII8q8f34GsAy>3Zbhs3&x&O;lsxs=BczHDFlE*&) zn6)8&)IIW^31GZR?+&Rl|XU8io?=g^58tm=xtR7Gn?)rm@eojpRTp|R)z-D zVc*F>a7*yTY#T5ldv$UD4Jo1os2nGjpSaY>Y6v9PVwz+8Bl+cnSkqtRZtA8%plRH| zHOGC^Yeu*6JMg_&Sb$B5wpl8>$Mx~urmFyHk~5jVIkGsiF#JltmS5kuKs=jeb67vH zeapK&4NKt2fW{d9<$1;F+#lFBToMA+VStkr^XzgUX4kLXC%W|wM-Vhb>$IXg5JNT+_0in>`+(L7YHF?az_(TJec zfyt?``9s69Y&J2j5uqHtW`R0423e&$233CaT*I_tr;4WcyQ%)U(+wNW{?_^Df|%jT zzJtEkMFwjsBZjQMpnQ*(#c63Vz-H(4(siGIvI;I`*>>zsxX#SBu3Py9!Mwh4P3D{L zmKIK;L97e>9~Zg~ij5dN2RwPyN}lXZvydk{E-HxuR0T(NOj6+(&0%4S@c!6R2bT=i zp8cIz8vkm>09ot?C+^Q+1f}vLKM}5PdwXY~KchL93kJ6UeiR`@W-gQ#PN)(oGAHwx z6Pj!Ti`;y5J(sW09UYZ)xL0_iD)2zqwpdrVww z?ApH~1!YwZ5;p-FD*!NSX!F>RBs^c5=&0$(!V~5woF56NBaN1DFBEtXWE!2yLF-ed zMuQ@M_OlTyXT}F%%o~mc6{yZEjSS^%qrw1D;2Et0K(GiD>Jwp!W_eo~|5nE$hDXNR z#&E1*m}9UGeXIW6S=|u_P=}hfSiEL$Ju2M9$rh165Ftonrqr9sjKEkTl>8&v6`LXG zu?F@GLx~&!6LP2c5_3R_8l@3@U}{*HVe^yQJw0g@89Lp3+v-n2YlT57Xs$CNsC*mU zSiCI(SU=FLmYSt?;DMEG>v_vYCM%|h>>%)24!QDO5E6h~k}2I4UL>$S4pd9tG4ijb z>&Bfk_P%t7dkoGOgE*&3SBc?>r4d>KiP*A^nT8YQiOB+bHIdq7fbSJVs)G(rN2Vuc zmtl;7)rjTnQ3ZxHVCwUCgM_TO*0@hwxJjT`bXMfc=04N-i^~p5Ue3HiK+%PCH z9E{k|cs}QYWHW#}W7eOXC)0EF3K+n14xUu@UBw?qoDe63p~8vt*bD(QpXS-pKM(d5yb@#7HqV zy~rLM7bav60VsN;OfjHY`_T3BDAvNu(?QSv`!6n^E!=nk!QF>Yb^@`IER<4XbJy*- z94+|>pN%_h?@2FkYsKS9CU6AsO&}XU^hP|=F5iU^z^HK;4)s7{j%q~LtGNpsmM89; z-D2LgU;l717?K5UeFJ2r6yICy(=@R0C^L`=ff*KXWPX&7Iot^7h5*(>h*$7!_I%2g zAlsM(l8KSCKb|5B|ALFmkRhhbIJ&arh}3UEk{`C|!K;@VTpm52Go{nqLCmoZtvkTo zxIo=Y)zy+ld-n|$?6KR|P$XMTLR;{43D z$3KR);d$MbxjqQD%77;IM|=3;cW+&p+#PV7G3qW=wt8uFDds`&-2K$2C|qq2+DYK? zkr;ISa6Pw-sFIce0UoEuM@QCfOfaDyt_oV|HoFej6kG12itZG}mGi6b}cTNLjYX|hno(cd#Lz3u>rvH3c6e6Xt4GTq)jry|uy*Et< zIq|}08b*i1#Dc;!njp1B34^&$^-}G54Vaq~frXcjM~+ddykGDn3t?|62N~A+v@w#> zNU414VA(-1=J7;y8kLbF=11b$TPnMUFk!&D6eL6AbK?fVe4Ql-o^wAd^-j3=N2CCPhEIzQpGZkgJ7Zuwr%Y zKs`nO-F<*Yq6}Fo<8??Sjf)UD$#@D%(ZnzpC(-PgW(b+M!-5a**<2_bHx4XgH`t(6mSsT{u!jpd5tMJ8|AyU`h7^` z>#Mz-1kKn2xf6oZ_)#2pgJTH|Yk70oqH7CJ=C#YoPL*@~ zwJ#19#R=779OAGK=qJ3DCT&mfw8Xz-gTmU-Gx0{U=)7 zZ=vGoCMc}NC3Vdm7ZFXm+`~+=0j@79x-f+Xx|8>P1x<&a$iUDL$%jL3&d9`wp8s)s zW8h-t#*CkrCWsl}4m<+)LFmyejy;AmcfLX)ZJf57QaWzM(zEJMHut@vBFGhq0^I?8 z)Eua^`=!DgK|ynK1!1+JkmqyaH1OZu6kZYK7fyMnW2(%7@a5jFZn9zikUw#lMZuCo0$sy#1BzpX3-RaGyRE|*=SrGINC2|Q%tZQOswfGn+v>D#tdNER z#4^Lv&6frLiZ1qd{OiHl=p&l;mmehteWz@Xa7MzC8HWo-A}|6)ZJ!puc3Nf zz)`iv(GGO`PNm1NbcmmNkG7_=`*Lkqci0rU=Rwn1VrOq!;fXm$X}$LS)H;LM0)Xu! zci(mmWlt@3B(`3g6bZJS8)T8K5J!yVdq2J@`vqQpr;3|o*kuyk4&1`eY>aU5F)H)E=h39WQ`B*G4Z z#&Zt~=cybGkTx({8n}d$#t?uL=?r833V{bRdMJzqtP?1f!8pPhGo89(BomWK4^qgO z+4jSlk4s@3&WvJF%MALja2Ps;UJS?{VN0s2pM^6b>6=hy2w<4^fX=E4tfo93<(MM7V9di-YJv z+6ixN(1XU0M1Z=dd?2R|A_9Sry*PtZ2C3p8i`dIYyexv?GgPu57OC7dM?`vtzuvcf z8U>>zz<>xwOq6OHh&p3vf|V1=%U7W>iP2z;W{-@Vg2E*g{SF~Xg7cw@Hc2f=5*h5W zrzw@pO)5eRh$#!;Cgm|KLe`{|0o>|XlMcbfkg+gESvTWLHNezK_#--MEpRDy^rzso zSaf!Yu-~$T>6YduhFJ%DYkitKzRSo}pg=X>v&6{UN47dyEn}Wh?Jyp(V9TRx!219U z&A6fWEz~Ov&oSKHkpaC1mu6)^hC%PKYnXfPug{8kb=y8N;3M}M%uT?wVA9Ip;@GBa z8X?lzhYFFQGIRsRNpnE}7cjmo%8ZvfXF9mSTgrC^piDrCxIK$C)|;Rm9?!=0ULW_> zsO!}s2D+^4=+9N@_b+4iEt}Ten8n^4KSc+fXRFV)Yxqrj|G&pWW}n^LvMzsOdac8(O~Tu6Yil&te-mRE2JW#^NyK&sKu`!rqyz2?4Vpx( z>q&-qr!zenK$8`>O&QFuOU&4q?vaeML(DO3DafoGIbb447$$+hSjupb$P{Y^NP#O* z>T&o55D*3pTBF(!C*ctehN;Yhn$wwJ(@7zXS4Tw#6iS+@2tk>Dp1aGyBRb_pU-SPy z+w~0 z8vhoKZ{Z@y9|IKY@hf2{9j+hX@@a$RPOn7+v*-J&Vx!;MM|-e5X8m2=VaM)~XDE1- zYdCW3SbN5^Bj4plr&HtetlV{*X+OFv(hvwxh{jBNsX0_mKdwI2Zp6oIX6h(FQw z8U24BrB`;V9G6hht9n*UN~`KsJ}9N8!#(KL3^CtnF%iXwN>EK605(8LBY42>FUlNt z1`7Vb)f$Gq_*s2Cm&02@WeiXP4U$dc!ob{v0XW`^m(P8bzPH@kxyW^NbY+d2y_$*2 zNH8Fx;RGd@+wcxrghc0nw8YqN_KI5`+J)WQ?%vdGqH+>F_=IJFF}Tryw1cC7Jwkr% zlqg$+t9Y`*0haymUbH@`Qtw<8C@>xIxDm(37k`SDXzkmh!?CR29`^hQ`85V4L zOVEi_3|WeF-OF+VC`m`Dh6X+vK2pVGu~78bi%)piyTQ|+C* zS*M9KT;=DpByW8;=XYh4{#Z&}rkip~1yAED5OIyS|ZI$5;QA`ScVO*&v)MgO89ANNX!Y?6K|gvVS#SIsG?5TCcOR%rvk%vvyfYqw`JWzIe zGcZBj>@)5Dtjd@{@assRL(?Ao;2~w-@iDgQQ)K;pZ8;>w%ASKZ)4)SC!W1N;7cNpP zGcw$>z@jY5_H1NW5@$>a%^2ODS(xr(x0SED8Ec~sniM3e6TIHsY|TkO zu-JdJJSeIRpPd6%t)Im)Y!@YQ&E;3ztm8b)k5s%oP@z{j( zZh!Y#>?W>ReHC_JzQ*$U$h3r&2@#Kle?wB6A6|UhiSg~j*MGeZi4rXk=-Q>-`=qAB zPm?o~T~72QsrLyLI%>aI*_8v&J59_Nb~&-EfJT}<1-jbkgtjf!W`O-;9~xj0^D&h@ zd^Z$teWPa`^8JJd?7mbqN6yIeJqFKT`)67gXw~t`Ie}0$SYk{OMf-csm;Gr*K=^vo z3~OcPFjL%tLHcxGGDG~tplUy#%9%u&2qpg7Ve`svBa-tG+TgIUf$;z^t7%JSzN}$; zNB`f;GNDB|Zqm&}m8Kw7tPX_1yx#1cytntRw3(-%9P3~gguFwg4X;E8Nrq1qgV`0E zAx}C=`}*fLpvznonoq`8;3sizOJP>5T_Pq-ugic4&r#w_Lw2z%M{}2kti|V2la{*fU{(!HN9Y^hDUyTbe?KMESE4wbGbDgP?8uAD1ors-haRM66 zydY>t$xZEaI?dY;1a}lTt&O%TL`Q`_7y^(DA*{ijBD%3Y2RaxXiZWOvkmWjK#-jkB zpX}5$+AIsUcw&O=5CxnsR2;22qR}cFiWbushbq7!$4D-Sy9pEVhU+k9OsR+>y7CSN z0k*Ym!5IPznd!rH5ymM5o2|*;CPeJIb?r*SHhRIaIV?@T@Xo8TU1U_l^{7CNm^_WS zRo#BxuTY?FP$T@pCHje~Y~`)I@KROnP3kl&m)nhQZ_S82V|8Apxz0Tat#k1U92Dp= zmA1h+SU_?UDu#L}a~%YcOK_|;Jg#+s1`?IGf7~><@o)l%Md*y< zMK%V5oM7%dh{v0x!?-E{wpi3Ewz?ET9vpD0;R2Z9Gvk z>DVHd1D6?_)wj>=&GPpjYpRUsL}PPlE7c?>`FsLYeK`)fC#m$qIURi5h~KYACa+@7 z3gE*VCnIq6LSUy|TXk^Cr-PBG+W>ePW6O*03}o6&o*AOIng7i;!*f4tdN*c{=Wag8 z-k$z9scPA7vvuOdfjjWRebWztt+91!xYhT&2MFtjC(Pl@()TiqefzseeNPNj@@-7{ zt?Pl?L?J!??FUM-t2m>xjjl83$Kx&&<}`S$eJqptIOhY1)}5yZ>X$k5@W$FJLusVco!agY#w;347nVCy?%aZD{+w^U%Vq(JPX)OG)&Zrq3}{HasX zRaF1ksfh*2VN?Ds8#?(%d0`=bNC5F&?3YAUd@A%VL%DPY}9AmON+p4{;n zKbW|eS)Bmcf@IP^)ztN6R+2Ut=@?}#K(LsIiL(aBf^rVksmbE9;xM{GdigDoNRo+d-WX zZa2bSBSB0Af=vcrFyE=M|W*a^tzp%`$UK@u%hX{s-nHwNHf`}BE9N{iT|=22wl5sBaB`=1*QKIO@v(`7cNkgEr z6Ug&l*}x+d1FXVZFXMQa)h!{jrd{sfNBbkN*y1&U_1Cm93H(OckghIThqa%N2#Zq3 zdCw|sEB5!`k7p0nZA= zGeAchO9UhVQKU7kN%3`P;?EUeADk_omK;7AhwF>4sTm6@u!Y-E<$*67XOTSF}Hi;9IC%C|=Vd7P)uE==97>x#;?%LhSCarDjPJGjEjEW!L) zs|{9~Vo5YcPMZ(Rv!XqC3QdX8AWZNA7s^}W-KkUj-C1*o$X z!=)pI#kwikv{G{Dq_Gc?$lcio1rSNJ1?1wsbeEMw%Y$GNds_b2&pET(GZ~djay1yk zCi?yJ0O&_P`gUJMo#5;AzQCaFQA(k)LARe8!)72>Vn!`so5isO@6=+-a(csYpq|gB+?NpJz^XzcmG9f3uja@#2 zT^F~m@MxMUws_>03vgrT{nsjgegFbvRXsdl24)e?1@QZ6hpSizNdU|P!}k63h=oE1 z2nd9l1d+P{HXDfoelz~X8sMlb0x>t^WPmpmpbM0vUoCKX@M?q`4;iEz4Hw>{_07?6 z1}j3w^Gwi!XX!l$4bYqTl)D^ck&7bo*r75V<}G_2kS%~;l1v(wA8C9AXDmkpSEEaE zn~dEP??d(OLW1(7dU8Lv0CAncS76%#zE*o@?=SKQ109%zvb*M|0KU6@l-67p-D_IF zaFzDUWs#!*i^cVXg2qaF?U(lRvB6VMQQtxd+vx+djWqaOT-U5%O={*C#mRB@T}uvwLo1LXt9h*vGLW*1JV>%mtD(0fs&+|8g$$AE*yLIXT{9|Z>-z_ zaL}3)XdDp5{^m6iv4l}h$Y-M(YNn8hSF2awbrlT(JA$AjS{s}3 zM}5)XHb%SEb%)peYmbk35tIQLoGBbN$G;5zfyU2SCiTEvKI6CM2lpuHY1zeJ1GuLX zKTIDWj|khJV4njWXG z-2k^$``q(i;sd+=lTFTZsk6J#d~m#t{3A~=AZJDhsQ+Mu{+fIGUok||SI!f%{W#2Wg%DG%l3d41u_qqU|+3cyR9eAh;yx-^4PfHTh% zUF+4V(fjndI4<2++bUU*(<>VT1^p)l%J#~@^lkAv(54`9N21d@9^1|XYn;Vy4A_oE zQ_U@HDYgigXn6Vi+r}Ns=#)~+M2=xKV(pVwg?442 zmRWn;57vN%;FyEMBsh^35gf&_t3O<$MvizaMT%rPUw4|v&$wQ!+PuSsBwLud3vFlW zb(g-*We+{xAQ%=znlNxOAB_Vq?odLTNV@(fx_y>zcwe_Abd~7aJ(Pe;FYRv{2u$#$ zki7%1bc)%f^$pXMnN_Wj%C=VD_m1jGLFn3nWpn7r-$yBp6w&C(`k^e4a`M7rK~2y; zGiA_2`F8ha4k1MC&lw(ht?1NpI_(RE7|5^cc-f*3P%Jo4)lNlYQ6zb=k5@FBDx{Rd zB8=KKQV+uu6DWRYs*)C&Dx|RJk&AoE{t9+`p+Vu3X;KVo%{6U?U>-s3%Ih{zJnqMa z$_)=iyQmu6728v)n*CChLLG5^+u3-lyC4Y`27mz>a-Ok7FFUCSoum^Xc-0uVA!#Ju zgih!>YxBAgKR|O5kRohGfqXW+zu$0Ez@bf{*ecim>g@1ew64uclVE!QOLe9|7rv}_g zIXL&AOE63RjNp#_i`*KyCvSC;H#^9HfJ`M3MT3r#63zVS{;57*wUYQ^*-fsBG|2*0h!7N@NESrH+hGxIqc0%K?R;+3^9`G5u}6JbFQzN zG_6Ax^_OOGLhT(>cG--Xz7Tq{&sa#Nxv2Qd*a6L=#_C_zUpjmRbh-Wog!fLaR?PM)D3i|WW_At=yg zyAPuoK)rR_=v+Uo^;JrQz(>sCqy{H;xphxY?qco!d@z(^?s58U1z_sE0!~xwQ!xk< zksbLcI(xx9>U9eckm>UVNW|pj&A0|JLvX}T<3OaYkPaY8rfJTC4z`dtrge}@Vln1< zx0Ioh+wb^A1p1Ma_;FhEXG4BQG6Q0vD3^)!VW%qqEUSVmyQ9Ai1UKg4^yhr57`6}5 zW0X(W+<7ob8CmiV>Y2BE<^rbNIO}3av(1dKu(82z_&h%4)hfQPo$L^d#uv*R>q8B7 z$T~w~88$4V52WEsAp&M4(;2do$M9gY97oU)!2w5t1NFK0|JoQ%_bsCMkxHK4;v}8? zC_^waJB6(kAhAH0byPia74LZj6LgLkt4*L?ILj21ZYkYW=iUh13*eo|2d*hg(K_*O>Y4p z{6R+bxD!>({79O7n*emr!{MOwS3T-a)#`q)xvm0o8`f1sH7Mv_gdGj%d4srLRM%+T z=)KIUi%Fh*#(EG2n-8!Ra8aV4yeE1a6Rx5Pjr|2GNEG0`qSiGun(SPJaaJrvg6C-T ztwqR5WPIgmXHM?jgiT-o0c7G>;@0i7i!4eEP%h19frW9aY{IX&LkFU`J%#Z*>-{6We#XdO2MQpZnfSJ|KdYv#Kb-2l9@0cZw^F#&<$ z1&uac$K%3FB`3FTA{H>TeKFlomyZMZtGdygi`XN)(-IQ(i{k)4?8-~bUBScT?pc7x z69O?b&x}>>Tf^(M_7P9(3q0ix+Xp!E_Xd_7V0j2#Jlg4BI@z1h8#;!h0fb~?*hJU) zvL!iFBUp<0Tn$46wNx%D%(9fsgzf12n*JB|&^-$0zg-8G|230ImrX}k-|`b@?;k&9>bEX#X(OJQlTDv<<}?$tEYb%eXHB2W>v@0kgudNh zc0cvueP=bY9XzCG*Dw#cW;Ok;8ba}IUrkj}KmYNDLuHCq-TJmrW-f5}SmSS^Y8YWv zw^N_J4ktBLmZ+(^cQGz^&4k2aNA_)S=T0i*igvB47Zn>eSzm6Qv|WDKV=1+?hXS5D zXxv7GHB)shwWu2M95Kx$v&|3J$r-$BEM8J`98rC98Z35Do)2wiMe%$y8d#X7X4#&$ zZ=y;p4W)$Y&nia)^?Rn0clciXhB)J!Y~Ir2XJE>jSwCYngY0YUMy(iku)Mh~9W~?mXR@aajZ89kP8*>) z6--@BSLIx$nf-pKgPvzlCyp#LJlc=7~pZWqf9rer{`}-6(lh^{c^p z(l|}r9)w$X6^)r=`LI~MTqs04mVAn?x$2~J!``4$XuA&91icQ>ljGid*GLX443Skh z*NIC{9ArvqlVGn^URB|%svRRVxMiXX6ZRoFe?n1n^I!&91*3?i+_xtkU{5NISM)$35_m=Jea(POHh7;d%r&c2?O;59SiF{T$ zt?a5i{ak}yv+#ff)wpMgxF;K+LM4Jjy4$GNx%BWwUi3Hc8u6}$uk4neEx)mcYp3dw ztD?|U@(AgYe#jxQrQJE_JwVOJoNUeuZXh{@v8Yrah#^xp^ zh#|pfB1&}l3+f_de6mdO2L%r=nqH|f*b76Fu3Hr4L?mm_n)10U@Bp##J4xBKx`GT-XWL2r+`*KnY%MAxRc+pn2 zS&f@Eo08rjQ^y|`@vg8Sl_c~0la@l`^=+1Hjf!D0!W_K=pu+i}?eMOiX?c6q3HemU zzx2uJ-+e;T9181}e}@IxxVR_HK?;9yuDp_$4{ zQ8e68cZzQEw9a9;YhrYb!<`2t>Qzr6N1O!#<<8ei;$Q3p-Y4y z&8v7PixW0-x*M6$xc@Mzf-{~hWIau$!O7+$j8nA#RfiN<_F)6pA_1sy%+@(z@C3p` zrB+GFITN@sV^9KQ16;ML2Hqpn7!7xzWe&2=h~LAaf~Y;uVFA$UVVAvJ!iD-JI2?mz zhaDAeS1JyR;}kq3T?Z%N{v)yOrlPe{#ft$;1@T<+*XwQbx4^kq1*{#Q*!~j+h8fK0 zNvs=p|1E_H&|Qe>S{A9?3l(4Uw|PYZugb?}cs42nxzA}~^@HNeN9#?eyYr1)x}W`# z2368;@);Akfh*8v!XKc~lun?lhlu`)7;#or86gM6+P16I1sQo37ftn9#8o@mNm7sw z=McA13(+tDV7AISs_{mPig+41kSv-)qjuK|1IBYZwg1z=y z&$2mc^H;%O+{G|!@^s%P-kVLuhlO4*`$vte6s3F(I5zrMIIeH}iAo9^={XdQazBECXce|JvGEVMKHgV+OziXu9;BYBb5bgr2Lyni8utDb&;+go@d%N%_O3wI z+|9-Zh&q&pJ8=_B-uSud!1y`5KkH}aN18CX7~CV64`A(^Efx}H!@n$XL`f{#?Hm+D z@)f7SiQbLU;#GB8c2#zU(s}kby2UawMOeL9+Gw>a$AsTPgd2`=z7mT7P-m%@;=&aeFi9-&sqc?gXY5T8Vg0w9Rz82XuDc;QR^7TH<)8SRr32FBAON~P(i z6T_sHY<{}}zkgeS%Rs_9K_BhD)li(v30g*LgC2-ECU80S-}AQL+KB(ocgm-4FZ<8o zmQUxF$M~bNJ4@cX%MY>6TFN;FoArDOv1n-D%)48SQLT7bH^E$@!n<12sD)ReJlyjH zi&+Krkp38VuZ5JI72T7%b!@^(tyetwRUSYWx3D)<w5|)6b7uNwo6&CeNpYR3=S)N!?c*o=X0e_tQ6shK&N{@ctk$wvI<_JkZJ2De%u4}1HU0t{s z1l?>0qfn23JZ4o+YoEv+-5X@*j3YS5hzCP~j53F9tJ0r?z>H^Oc%xcw+iZMoPF5YS|;r9G9F z-TUfpT`SEoVi_{BEe9}l{A7R@cdo+ROqdWbvq;?GO3U@w1!@Xi2WUqlbVLE0X~f$L zDJZSe$Y>ed!BnCAuId9GN0$8Q_|Yo)s2Pf1pha1FnM|yQ<{Utt0M}#1d1`?)J(}Nd zYaKj1LM#R*PbXV?Pq3XMhPJ-#6#DQ+iG4!pSJV&BWM;=>>;66$g(KvHAx%TQSdL^u zp1;|E5oY+cAwo@I%OTITv{L@dpGk$|i}+|2Ud+ldmeMfeD$WkkscstY_?X90n->e- zkt<(lPGi@y_WSMLu<`prs0}8dkpM`^E4UY@AYWzkvtkiD&;rk7{VeM<%KH>+)&9IFO=uYahKa`Acy8GtsK05BL>bc#aNCe!!5+f(rRQGywnH-=YEm=cBGx8 zq&W?=TNSk3H**Rv4$p|$8sOwl#e;&RHE15@IZ>2%8Ho4(JdHC{kZ;aWeoEY19K|pDQLpNWuX})&)OCj_h8jU?P~4N@Wz21{st&n@#}bAQMFvQzWs8T zx9wWfrRzV>9V;E|KUp24C?u)y_dxTDeMfV>HyF`qa#OiRgJJ#t3i4~uchxfLIGIso z4;!{zo)p<@A6xohWB-7`dB$y=>i2tp&w)ZhEYbUFj-APSRS-1mEt;jT2xBz{1)eit z_@!rsW>uZXx2L*UVok8hp7|x*)$gBLVq}}ti(_vO8OAYnYW`H`vwi*xV;OC#`c_QS z?IWxdXv`&JaG=#atOg=_RqF3fecPSvKiiwbT5wCZk$wI`kH>!$0Jk}gV-9w9o~PMZ`cF^Bx`3(dI^(`p+B_$pr2!OK$g9tPRM@)jr`6 zK>MkKPtG0yv*Ha3QA095FM<`OP7%$BgSH-Qu%^EXl65;W?KpsL|H>9MY&_M^Og;WV zw%KIiHgOU*b)1i6UHxWt1J_oq57l!H@=keClt=-i!Y%9aox?>AwUBJKd*%k;hItFm zorv9Gn)2D_0j0D$jD5!QuilU(sjYc(^g1aX+307Y=+I@po#>ZcQmu{Fj|%tuggp|X zS6GyP5XvGKh;J>`AWPcD->PUXKp4N7K|+yFPA^3(|3J_pQaVIysdC#B+lVf>FgRh0 z{VfRhW|%_K^S?^kaRh8U`bC@DUY;95-wS%SYZ-So+PAxsR38Yu@jvO@-s+ zp#|b&??BselnyZ1=t*a4rDw+L|G@ZAArd6X6k+@1gel!!yLzDD;8)n%#gwHvpNo&d zp%j%Uj@7>hxPX$I^+#VJK6p?kM_q!_#Qxm(1&4zhAOR)%pc!*e4^kcP9^=$8a6Sj7 z#WNHVw+lqxyRD!~btr<~{{XyY9xx1FzHe;hf6>Ki0{Grd0@fP5-urO+IFR~3>~(kT zTse_Bfz{6F0tKo3y5dFHS{xLh8K$4u~J7s{Nb_o--xAzg0xzQOZBfHEBmlZg{! z!C=}6KdZL3KKGC8zfeh?A_H%-DoWU2GP7jNpmF!0uEK+(%*7ME-Qskv{O8tgMd-Wy z^Jfa?cX?J;oP@1kKyAvOHQFk5vy4zY@C<)#?)K$X{4`6g-2shj)F~cdwo1 zJ6%I>yc zadhK-wL7)W7VFpG_dqrmrV>voOKKz{5R*ZtyN_w+_aE2qX{~sFFY#d>h>;*x+#skY z;1$tAkmL|*&>?=HzKP!a%znCgcOE(P4Nwm#IQ1c@We2m5wKg8Gxw+nMTN6PS*X5!0E9fAo2T*h`uG{cYTH~F4<}r<^&nXW|ZU8@1xnc~o)x9PV ze^5g&YPJ#=&0K##ZgcMw%yKLn_jR*`*~2;_>tK*v?#2Vav%O3ZQB3?V@1gV)nc+1u zH+VW|GgAlwl4xBkRMnlhjVK9U%rG@(tM85`dOfTUAK#%c^V2Xo8EExE?3T5U)dQxL z>nyZSf@+`*!2+mm-MXvrpu8K!RlR5JC@i|wf67B@7M1FCx6VWQHOx(LMUnDqC?W>a zIly+JP8I0jo5XpqMbcA=q@yez!!H1=O6>EK6hdl2y7ug|Nko zEl6#lPY=Lpbg<^B@HH9Jdso7MwNVO=B!0IOuq`x{28iIIlBMO*^;}X4&>|p5m`E6; zH3vC{j~TssrjEYCOa7?pium?&I?Cl?zpuNke=h^x<*f-E5xg}LL%35>UTc;V-E2W~ zkJuct>2pu${Ig6jG4G&Sj%o^az<|-y0gYCC?P~l^8dU2O)UU$owyGVve>!fimx2hL zCzxNmY3&NhbG_yYsvFxyK{rHGlsP8?4c3VeYz@+JFN2jJc=p+B9Xu5Fs+|E0s%KdLS2-J6rnjM%6DCRP(fr@Q)0xoux(bAWK7WqP*3A zk|rty`dzM2n-cd*7t8G%iH;ZP&nM69_iqi1-?i>c9BHc9_40iGs&}V6%nqTznGhZu z$0d-{(M2XH2uJB$tkm6^x4dauJ79iwA51E)K%2G!+m%GZppfd@QFim;nkw)d!P)cK zUTprQU@^rP=~|p6D3K-uqt?L~L^8X9!KVhq6Rpmgdx49cq&W|SJu^})V7f_)%bNwo z-Ts|GA!q1|?*yA`&-EHB5P0>-`uOMSDp3*!G8F8wqe9Zk@(&NSf_ddOi_XsC3_!c0 zM#-sy=AW?Pb29b)7ERVK&$HUf-dc^Ybt3wm47Le3a?kA;SO2x}@i`whC^Pu9>&#oDIaZ1tQJyg?5Se-Qpjyr6T)M zdn{6Pk&?NS#bY-uTlk4nx`p}i63Ke)byn$X)qLUomk(J`r~RqDR7mH1A_i}L#}8?I zZfO9s6~@fbnj|3q>V2?O2ct5UA+pp3FGCHQ@wzK5r@@?p34=roaI+3x#h)%rbc3o^oWxO=T9gwu1BtU>@@JXAXwecP9Ke6v$(r%Q|kh={X81 zcRvU@D{;0F)lH{t>87WC>**E;C8eRa=qF3sexBE+KPl>8O3!GZnnu7Z8eo65*=8H* zl-1PE)!AsELew?cz`f{T8)A4Vx>1s$Y^BZaz+0=Kl4~!A&1#Qh7LNtvJ)pX60cgiyL?;JY&ZCdzPO|I#`6moqIf`m6-qV<7Y;xFSS190^^V%^}#FTXA@S=YAJniiBy=u z(?U3%P5JAnVJ_5((nu&KmNF)$P#_Eq*4_#Ov4u5WsJ zYN7_TU`Ncz(EVK;l5S8cY_7re!1i*!<~514*ye^Cs%~H_>-8`V!D_weL61lvZPNn_-(@WZP}1EXW8@WG zvvV;NU;+HN(W3d55kh)rIwtHHMcSC25=`p_RL5O%{R#|xrzR9qo-HZxf>pczhRnGp z|1AWIL!Q{QP@E{*2-jvbh7DoY2uP?89J`{Qp18@8mA6?*; zSd{Zf@_Z53AAK)QvMkV6`?ZmDBn_e4n)lKx>lC=-MExax2ZWP~YAmg}R?Uqvc=tT? z+PRVGK+sRw#V+Fhdc?=>~o*-3*Q-9WO@@jIy`I zxDI+Iq2Y2H#DB}fk#%YUWW!I1SG;sy4t_@WwI8VO-iCHx8C1>VC%GWVPbfBlk&E)=t#E2#py5CJGpTcg=@`LOt zMP376XWFYJd$2Fpuf%@kp0(V6WxM7g3X-9=ez&bKP6UGey83($rt#P(d|)~w4ap{i z-+I|{dr$|+BudUBwVmS7mPTbxys8YMilAyHCIOKuj7)Co(i`7?A1#iPr(8y>n z6Z;23aAOwKV~N(Im1e{H0TVqx0Z5`}^Npd&!$)#)mU9E9 z8Z3iZWxK5Kj|10>L9>m%47i;&EQWo8MjN}XivwxTJp82oGVcDqCIltaD&r&8`I35~iNG}3 z9bQF$7cE!WVMMzO=Y2=yS!y$4zB~tq`I(0L-s{hh)fS$)gn1>$d2YL$)ysoNZGDAU zJsZ-qQ?Oj_?p2n*e@`ozNLgn{4%$YqhX|7`IP19>S-I&;k|XxEGw=_H8XWdr^X~T6 zHZpt4G!n_IN7+QVrQc%T_V^5Z*vW6)U>kV&(!MZ0G!@8I@H?%hRzwM^Jwk)e(3Z75~vp zIu={;`(vpC)aChvki-<~H^S7;??vrTx+Me$izz01;5FKrwFOo#bO_IOA$@~VTFP#3 z&=EFX8Sg|}8UUY~1-iMq6tr_HXD#Ads%Z4T$f!+HPPLWQOed%@bf6Mm@}c z@UTj@X@~%MhvE;EY>aFN9{t~BCu(N{p6{;_;{|Efe0l% zG|`j42Wyb>VtxNaP9v%fHp`c}W(G2f=Q^hJN+cSTfO6~La>?%dD!DkKo?ezTuOrAx zYV%7}#ltf3aZ^D%wv8HPqoRW@9;6cJuQ&b)`%otWQcub~`$xOFOwWw{fpVzCKG8p? z@;XEoLqH=%=V+K0;|nAyZ&L+$fDE>fvx1*CvwY9CvXhvXjDuE(k(ejg6A4|@A`Ivf z=}Vq{D1J}im97v95?^`~MrKWZ?()K}2~}?(+eEZ;M=PB(?OU{63<_pxf;;P8BKPl3 zGDjFqcZRt__l0dB{qag=E?I%*gK@F4dTm0t4EhP!DdhGXxRDLD?iL0;2wjsAe63{p zaO$GQgQ!~2va|yRD6rW!47u}ZT{$!JM|gy38>=orpu|H)FTJkO$UbK;Ocyxntsobk?7H!17MMfpfb}mg}Xhvol=b zyE}-sXv{hciW$6_c6ikLRy`2%lJm^Q{8tlqnK{f`mMW?w+l@p!| zvx+p7y+Zy7dtSWem95wIS6XV3F5^6IZS=FuvwD1zMLrT_2bZ`dCeH)EzSd1lkpT*8 z&sc@D*26>R^7Av8*fB~QJM|v<0Jmw7=8Z!tvIq{&y9mcTXR@xCYpWa`o!QF>q(9F~ z3juMJe6*5Bbh8-Ptcw#xZC2~sC$`A~%q<1VHDgEAY-z35Gk-VbIgA}I%q{Y|C;rmM z=uIrFIz_6J(q$_U5c{*` zd77p;;ZLq&xJF7*+dF1FU=B9Jv6@t}Yg$*$s73DQsX&h{R637%Gji;R+O_p>8WH#q zT_+JYyj0jhFTwQ&d;7jAsqI#LVmso@Arw_gty&O$su|BHTrBxWhoP0tGIf9`W+TmO zFaR~pr5!g6iixYx>0R5@mMVo2z5VT!SIstL+=QH9lYkuX+7!%mC-!aj8#cNVg+Ddc zd-=Y0+Tf=>ge$j)((6}2Ls0h4Z7|`R50b8Crmd&&iJ@^WpjK=0>K zvK;fEfdU*alQDQ`$&-}HLNu0n2_?Io+z zox%hF;l%fs+Ffs-{+GHbu^{eSlsep1I>LQTq$ElrxBXspX2VNAWl1+H6pUbwL}Nxr zHS>lN^Z7!2eUix4&9iovRp~DmdtGxX6N|<;(KD#3f*W95_SZ@Zt?3^QsZ(lqTa?;U zgQUy~TCAPVm|A{+9p82cQ?w#NKvwBu1HT*#1`?OLx5Vq!WmZ##UFRY}pb}W`b(8Se| z(_cPn^V|7>-s#~|gQ8by=_UXY2hM@3E&}pvk@B=&ID0Cqh|P6gR?#2^vZUi5=uNCo zn%2yZN|rkGiQhtau1+fL#IK|sC25uy$nyI&%q2*dl!lK1c|mnS}8?H zn0PK6?cYZ~wFNLN|69Xi<@hi2OiUdAs0qBh&`!>dCI&Xp?(0X|8cv&SNWLqz>0%Yj zLA&6mLt0i`x@L`H94)LKbvhK5p^0r=VXmR~cQ*@d;{HJ#&NVt7$YG$^G1nt25Sar- z4@kJ(+ymb?jY&nl-nEC}h|16cVq|7SfluN{(ez41NoS`vcaQ0j`}YmH(phq&H*()l zbg||9BsaNnP$O;bsxrPm>eZ#Ax2Wi|bQPxa)H7SPY8UU89of`n%>_V8=L!*$5+ylE z2GGKH;j7~%#NpQXfif2CKHH%PQB$4nU|o%wr|y zeR)%>+(8i{sF#~{@TiG3WBbA>&r=_kxp^587?6vW-pI9kd_6$p%I{}$Tz6-Ra_H38 z7#)Ms9&dAAWEEU7IV z@F4ox~8l0;SaGfy@AKYl-t%bU|If%$TFh*sFLV%oAT*I zSe1xKzfbI#k{IdtZ58>j4TvHnhnq0*6BeiF5!|luds&fZi4d0@nPWx2QZrygpQbhq zX$dqK(Wk{bg>l@l%F!00aX1Y79z*}8OAi&Plr@=UumC3O|2kTpG-*996>@xZjYET3 z8yo_C7#K|PJ#Wax1}dNHQqO4`fHMM=IM3R7DuWNcAVHWghT`fHO`Qm;D4giy{q_|A zklemv<OJr)96#dTM#O!Wd1eRc^?#DS z6r~=X^t#Qk%$qe1dt~O zvAGjPW}q;%OI|bL2dli0@Nx@x{L^HIr9#@EtCv%=QQB>JA!7*JSCG6C!O$WCc`5oq z(;7p#Tq|bE zq7~QsWV+-sfvm=NHFh6UN3jT=^^0QB<6IG+OJDC`3L1qZkQ4j~D{dY-(vj**{xG>a z+$R{a&y_=1A~3|SlUSt(j5)$RFP2?9rWsEnD~L8E$|Qsa)I2t?l(*6_VT%T&ewe=y z9w>}p5!Fm2Z*A9K?z*q(E>^}(cWiGiDh4Rc5vgj5Epp|9xIQHbxit?X-*{s-Tb;@Y zhvvU>gG9FG$J&96zKTc1Nui0Wr28m;oo&jQ(DRvk6W75r2<}(J=Q- z0g*^AAHT;TT%j+USZvFTwrEM&pZC!1eGP;M4>MvdESW#a303dior-xFWt_3%sNCG0 zl)1>W7M(?XMunjyaW%f59;BtH6MdQqkxO@y)`*_>>;^$kfTX(lyDY4ABspr!>|!f| zn_Qz2kkMc6#a-l|BepPqv*kR!{+S|j?`l3@TR850;{zW<$6U{cLnz?c0`tk0az@J>2EeA9smvx6rO}LZ4|FYY_hvyw;vFgE2`51_l zMk*lI^(Z>$-YgcxFJidTLRo%Oi|Im5A6Gsv z3YyvMP0AN0Ryi+_%Q&u&Ne#KKX-pwhG?SApI&5E>HP|>*a!e6n^W$9-4h8qzJuq(q z$TR{8Z|N5=R#SbFknkG3C7b&irHP4E?Y6J$8a~!5kstQ7d-_FyeNwf6!!m(K{t|Vm zEZdkf-QIq2mS=;u3v7-K4Y2ZB3;se>^B;N;IIIVWCQlE^ba5co6vsXK)k8}{A`ZeBz#$u!YcYp_=NQ+v+nkOjP-Eo zht)=h&~%)ic1U*4)eqKIei1f!;=5QC#eB)7W;GA0@GWiA_02#R=X>#2QVOqMp_|>% zev=iq9a0aZG8T6+AB{l@rrAbs{4FC0O)S1dS{oM&ER+&&EZCbmVl=JwoIS(meWTt7 zimWKaHX}9-Lj3N$JN~rB4QvyFmP5xb3vXW9i zVlAF4s~&XY2ciAve4`pWY1Oumkt6~pv=l>s78N7}9L3#OL{@Q@GY&5gM7k@SNZM|Z znciZ>_0B`uU1-Jm+f&c1Xtmgy5emIag`E{<&pC?ajkJOr38KxGBlDH|eTi3Aal4(@cmrTYH%vs=EJ&0n~%S4ahN z2caEOrDZ>E$}19)#+CfdsJstu!cIAD#(yM=ITON^@?&M$ zv1KNGEUJcImwGA2QvJbIj<&bo(5?9t66CQ}102HtZp4#S;#Sc=ro!XYn6Le{?Cl^Q zJL3PB7{{CErsva=tf%zW(gl{an;B2nhrVG=YqmsvL)U~Vtp+2b7N*~niHB^QO3rBx zWX%ns<;^qJScmt=(~M{I;FJzi?+-pz+$YG4L5I}D-E*NlHG;`Ga}ZdrW;3OhSt#EF zH0txX4&AIPK9Do*Hp%1N6}N3Q{xTGX`=@52IG zbIZdl$z~Dv(b37)r_(gz5(t2k8`jO&Jh zvKsdoyx+`ffhct>lAUQ-y?q~`Kbl*Iz;TED`$TL>+ z8c^1r`8GPk$v&4ZQv>9Fe(2Kk))b5hF8AhP-S~*sPD7f{)4}m^RH2L| z24GH(pDT!E?Z(LG`GFf(dOK&W1itCpBy{300gU9O%7xv{@t*c!?2#W5i^XoIfm<4; zJfK>~n}mWuof?C^*wMXB)u0zziuY8e&8*(+N)F2t zT)HGTV^-AJE{9y+Y?FV=x+`=vi*# zP!k8T{(LDEIZj4nwoXN~PG~K?c?NzUbF;b@w&W5u5xBvF;eo64H@4YZXX>3(tY3VX z#D2O>Fov^;$R*!w-4AovG$@gv`P2_vyM>gn%)~fQkS+XV7KS!FeR@zhr~=n>6v`n+ zww1Z<7YQ9H?NvcS57_JNV4v6yj`u1{|A~fg6u)f?6fZszJa7vn@iRW+RusP=2WX;O zDF5X@0x4q&*I^U7Ym<*#J|YIrts@s|&SU?}wNA7&VtlcHc2)Yjh+R@l+dD@1`Q)AnGk1ZjjSVDcR zjG93iGaR#+I>MnJYcCMw9*%&H1t4oeYJu5TcHVokp7@ExN-l?tk^(Y2cuzc?M#iB? z>Kd&_xVB%lwK*TLNcZuIgpsi?A=p7BbljdmdPm5%XIksbyh=t4LczwWcH$_Xu>WBR zgTttmkho3;N149lu8Z|%f!eodpX+l`oEcyZPN+?L?qXi4rI-10?_jvhGe|XII zx@y}qyr|R0jS5=-eNd6~*RuU_%cJ0U+tEO zIg9eJh>LXn&GdQshQNg-?%`Zb4QbB=BtlnyvQ*vZwGzR{p|{5LvQD=M9H@Mt6(MKU zPBUSBp<}az?VD38?YU)#Yg$@Mt_>|AW_pFth3!Ws0A@2&YkG49X;VMlP>A0C;i#gc z%be7T?QzM{;sU1lc1y17)n)!wVyb^;Qmr?%G5OVxjDT(bqcVkpWjd|$U7^Odw)}!B zcXYZ_x1dmcrMk6zffQpe%m|va-LhgqqizSSP0RG9>Y|4Up<|h0p|m4CkmD^aYq$ff z9$s|NuzIeObb)@g=WVRKeFNjcv|hm<>Sucb4!JE|tq0v2sv}BjMdgp;C^m$z=Px5G z9`m_4txURU>8o~OPGaKg&p+6Y`-i7~M~;1!|9f6%|8J8(Of3I!h5vJ2ztXmeJ7_`r z&eb!(=O+NM67fz+&c~yz6{&@aG>w`(y7srUsi7H4#gXWlK3;JXhc{77?arDenPw3T zsFF??-0R|HT4c$nHXFaJL_q%hID3M?^U0XNBygYw&C%JJ5l@^}OdNueGFz!!t2}*p z%ev_Gdn74Z%o9ygH>N;jaLVoEkl>FT!E{h^9hP%dZ2NuWkO|FpR#~c^QgMC^Lz#HG zmK|x{Yj;c>b)Gk&GoRv867l#6(rleN+FtzE8iR~D2)!?aBW%hzTZy-G8*pV;^RosX zWmb!pJo#tU)~b7cYx9%4>Df;0qL)w;ZR5y5%NaV1?X`}#0lM*Ai>t%V@?{k_Rcfi_ z*{8D#J0$sL!qzBH-@G#;1#_bz>ex94Se79i&RCI<(bkfJjCWxe_KL zf6jn^IwIVcGJ0&cY@t8po1(Cxaba?~=b0UtWM`wlp+iMPYuh^E&}M5@MWn>7r)*m6eqN_ zCxVD3GhV&aL;S`?kb-j!mYUBbLzmDHfPzMR++JrZ%G=WDy_4V|IXsp1$cYreqhIx# z*^~kW=h=3*ZEvhs76-|_aEjx}4J3_ZC@W(mTZ!!B=B%z7`>f6U06TAY5FL6c2+UD_Dc6vmF06QNgo>dPZai{VidZ*qCmbVG_H#nM^!> zl!PQ|1Wy+<-0B1zrtV5wcH$#DTbR{And!v^?ct?D3*bukhFKdv-WaucPz@a?Y&8T|=8!!$<8m%Hv3ja){D3S*3_<5u6?h;#)Q-@qd*9$3o+e>j2-5g?jr1>XcKP(-oU0|g+# zWkr>inZqLKqK}w2Q*&>@7kd`c-5Jw(hVm2&GsqW~A>E{m%&8eE2p)P+gVo>r$2+ce z1d5?UqTfRb0|-pow#}8WY%;I#WXbC|1Bh|t9a4zw?W=GKAX`$3%2&i6*|f^v84P9| zt%{i|ER{-tLu{4w;kHtjkRfhvZwgeNe@{fDuWxcMdM)|?!T!+2?q(v@bJsvC1A?1N zUydoC2yB>tV7Q?#e92Jp;3`9=wg9l`1cC9jGS;!eIaOYD6YZ%DY1RgD>mPG*RZ(rW z^E!XkoCxKCs*9_;lN&C;Su%4J&4Ynh%~_%EYI7W#1|?r&UUI@d3a%tc9ZhIu&FIgi z)aGxYFqGAU(vuLs@{9uic;?RkX_5M(2m4;9Y8uK3`nv*eGnqrXeYKlnha6#wl_+VB zrukFD5@;z?7{kd-5}a28!u$~3c7Q{mvkxmzR1_29`0mbeH!aRDZitZtuj1hq*C{^= zcmmxR zkiYrcHJ57LVKztuuT3MLF;23`mA?aTMRKqt=yCFWYLtVKTFRZ97nf1k<5E=L>_1~jPi46klAvF3{%Oc*Ow@h0|gza9IMuK)M|*8@sw0wImOI&d#; zp*2>L>=-!V-g{hJkk*Km2hyCNE3D**k#u6c3Ad!Q4_4xVE4%!XtDS$AnD zxUo=<2$3CpSVJDz!u30Ccu5}vQ~6Sp@V-qDO7Ylz-v5Q!`{Acn^N?>fLYdLM_mTlQR6T=A{`OQHY!HYk_NI4GTYWc z$yut4-x6S&!bgQilWk?PYO2GpL!73upPeT;z~VA{ImiSl%&0AhyDmmb&w+scC9mPE z&hb=3`@-NdJl0R6s5bim;Y!jG5npGIM0|f-*ZM^|v|Md*j|KH&-n#83&-&>-1w(xc ze`^a7A9b$C>d&5+NNv2wSN7!wsc6r+;3xJ|ihzN#L_h@xWhCI~Zy#R8H-O2g6BXt> z^9JnGhyMQjE>zRk57Jn`Y2#j8vjf~CU%R+mV&@jXwZ6OyRjhRVvW+Q0fR*O8vCCOX z&hxG6h7@@vfDZ9aW8BoZU!X4}UkQfYC3tu1H0rmtGQHO=IPsCict2$CgnB2$`F@zp zZ;$kN!Qt-Iz9B>sgeoMs7C;A;C^p*^+k6>>7N$BQ5ha9BC`qC!;CX6}#9pFclv*&& zWtL$Tl{IB>lZiQ>#z^Wy-v__*%L&6>>%2j%_xz*~?~Ef((pMSU-_@e6acX8qy_lXa z`%6>`O7I}cBU5DJdW)sheyQr0s(ZUj{4%f6?0I(5qCkrf^@vJPY`@u)zzS7M=E@Em^M}v{Vn-G% zsB?=j>Q6N*K3pt~BEEuFjSe6xr{8F!NQuT2bl-YlL$6g-&0g?TZi#2EU7s-uYGC?0 zz?K}8FCk0{EfZzoLApBb(P7SK^RGTQrQ1jKUqU6S-bo;pBkf~<=Z%gx#a6vGo8G!n zOgeXD;~?%`iQ|*nE^=vz-Ag&Y1K#?KvNs^<2HYbYF50P^Hvi;KnQ)hp4_>8R` zH&C9w$zlXEKd=rC?CHw)hw@FeLUF(WB3{9nr*|{fW`#jsd?zmftU;FOtYSWa4_G9+ zmi%C4|ND7eCxZ>zP3dV%Ih8fgDiyWE=i_;Dn^sh7wd*(d(lsaew-4k2qbXEmRgcI` zJs2$B8!p*dZ{fh-n%t*>hf zhRsbrhZ?GJ8NJo_QKNVG<>pg5ooJLT0q7Gyao_0|*j)~8i67&gZ+efrjXZ%-5bLGs z@A#hHf91{`%`Q26r@_($lW_W7b{^nUsn)6AZ^l3P7X0k4i4u?_im?o&^aJ$wyj-h8C_ z9ofD0UncwEU7Rr9I&JYEQ<%0`b2rXYG|FVyOjswq$^Pf@+nq{{F>M*2CFAq!{mPc{ z{iZ^q&O*El)+Yny%D72hBL(FmSpCm;9^&QUNm8DiFYjA>$^Cv{{v-PGXAX2^FPA`f z8}T3i2R9=HI=?7jGU_v@)%c{kVn1EgtJ2MbUefpD*LE@Fui@{vmzAH_=RMB6*sl#p zET{g`InIz}J`BdWA8zKH%a>V$UOGQB4L`QE8{^&uvo0m54-7H%fTFyQpZX(ea6UbI zETu2ImT5jEl>R`v8opP$rcyZm|2+jVG5?RP?SBohXJ=*pzj#VUdIpC7AHaTEW5X7w z9myxJcGu{B;JCzH3q#b{;|R_%z`!GbI1qQeD3$)!T@xb)*{+B8qfac~91jHNsQ6YkhyRD$6r}QNlQ&i~-jug<0*FZTz`+z=vdeatyJGi9= zZ=r5rRAyyJeul*%GH&@4;SYYt7G}i5LvvC?{4yZ&WqBG1!@gwLqDXQxb9230ew2aY z8B<>4b7`8}aW3}(O>TaddUym9xj+5~^7ZjV85ru6>@#2-1or_gz+CmrXr^fKL1bsN zMcRQspdi|X2ROuLC}jKi95Ba$7uqv(R6t5N$IyMr;)cxR&d6=cT5%AsBVLwRZS26u z&%nTkWipJVI0^D@I8rsY(#&w;KBnw`Dmn4 z|9hZ@6XjjPgj1E>3Dk5JP)|@~Az0$*<_tz-AzU;PGgwNjy=VoID8EGH<#G^%sb5gZ zm&(!h%X5ON;LHka?i8f&%EN&fIg+sof#AMKwAQbnE&D>zNouvE(^@X1bzKU0$`5gV z-!N2cMjjV|Zc!U=pWgTHEDjYM*C${1j~zL#i0pkkt(7XR+WMIV9|tQ-oeL_R=kz>! z(wRxV^@_E+<;TPftP@ynz&zAl&DW?SW17IGmfLh6XBMrBW{5w}!Yp{5wN%X{^WL9F z9S2=%TcF-(mA3UA0cFTxa+wHQGJc)eu53b(@U`E|I#cUxUurHRZ-k_h!#PHot`YTh zL-Y@-+%^F^$GJ4SyYbGUR5#cMQ2M3iqXG> zjy3V2u;m%hqXDd^=A#aqKlXlPk4{-xqvVBW+@#@v-ubL zIxD5l#bQ^F#X%6_3;;1k!z~LsjmiFPR)>Pz$I7`E-^1=zF zGF9nVV%Wy&dH~c)tEm`}0Qed~^tAf84rrb1{E9yeMU5g4W9-mP(L>q+Mj?lrHynmW z9;o#UUlrjtv1n1ag)^Z>IPLUS)f;UV3#HRpu0Bn>0NbsaCvSe2crFWBJHG1BZ#}c9 z*`#Bc-mcSB5E7^D&&AJn4p9i;fAB`s^+Dc2Ra^z)dtq<{^U(v1v2}KY&3XMvrKPS5 zzGvu~k3r{_^T+$=*rrp>u+5-G+bJWxi4ysX8;bcMeS88ZWvfvcl+^Fbl_Di zLHFDR%e9@E;|E^=`iRBPk>|D#4-O52-<@GUNs-N-PP}<3Ti8|C>pge%u=RWUL4#x3 zmGcsv*-s8l4g44kS$NZ)NuQMc&>^Nt@(SJ6K6F*_$9;Kc+pDOo>!~#d$Es-?Gn48A z<&?+}aczfsT*)VKS*6F%px!o4Y*4GlLuuvi<|G$E)ouDjrXuyMqWjDD$p=nb?Wnd! z#3hJEggbGhJOH%3O!6#@T@QF>(*ox-zdDZ2iEIdR%eU`r%eLk1c<3(G@g?LX%VGm* zJKC1Biy~IbAl0pL#?C9@WX%QwuZ2F%eXISePiyH4QJ12V2D)JiJ|x?Js{2AAaN`Ma z)Rm1YVn=3jQl``B+T;K5^-fKiC=Jx*Q?~8uva8FsZQHhO+qP}nw!3WGo^vx3Z^X=e z{~<4SX0E;Vw;Nlnzw-LCJCs!~<)70rvqNQHE5RL1LDtdzn3K+JlCyS+d5cG0o1L=j zPniSR_f6y{Uwxur`#q%OJ>T{AYB%+-aRCv;g8hy0ug|g9uuZ(+2zbx2a828GnHP#j zT0gCMj$(|B0uuIYOnIc>f>|*{E6Uuok*x;Z;K5mpb($U>3@M~BE#*}TS>513sc|*+ z3MA#XtS}*$YlB!8(oaU*J)b$f%z7$s(eAQBIQn-5&vsnB(4YaT@Gm6bcZtxb&}o7J z@8N(muZ(?x;}q^#pCJUU>4f$A{}>H4_OQs9IW^=w1#WK(4XI{~>$IW!{Tk^}%O?&5 zv_F&XIg&?m)|@B5O8@%*PWg^V{rV62==b%Vr=>mq@F7gaXnPf9SlKcY1hy|=QSR0---)Lse%G4KCzVZx_MrOy zr-;;&+p5AIU97UKt)u&O_6}~e+;jIXetY|P{upZB_Dyf~B8ZKPhTlZ;?#5~O_D6c< zvk%^iiSI#jWD|T5ed|K~GtZ2f$- z{^#TVdXg>5O|9iNt$K>!`3n*t@AmTl3K1-f{~IFyPbzB;W(LOpJ2)^9GO)1yKQV%l zke!K*37THo#MaE&oaw(%^1m<6G0kAg$vPOU(r#h?%Yeo0?VLqIo_>H3+%)VqDdnOL z5gar!QDCyavzs^@u;QZk+wv#x?Qh+)kJW1D>6O*khQsxccv;ODr4>vAIHiF0es;Gu zw;{kohQmk~AAo?shk<}VfKFV*i+Kb4fiq^v3@TutA6~WYr!g)h!2d>E3JB)IwiMI` zvc#VS==uWc;xX&$F%b~_qG#2bL4NB08w8SH$}y1#&Z-hbNV1bhFX?cw&0 zp6>2;f4aYPkjuJ}DIj}bp7X{hx;)Jjkn$ zFsAuY@Ph+z=Vzd4q*4IbMRbN%JeamRgv(*l#J#d3hs1nj=jsK_mSO0~Ooj*P-OiW!I6yONq-))22 z?x&Z3dkFp^H1Ub!Tm7eh4()xA ze}ayOFmai zyOdr(BS5Kr=)q`rx9XblVkdzBn%_U2SaF1LGlyZXzZo}v?O(qQUvA02)C<3C#H0vj zr+iN|e%N1rPy875O>=taansNKe6|5(M-CX;ziZ2oPyZ3t0@*gdYGu$6yf=Z>RXvY< zHlRbv{X2wOHh;H9_vJdjB5=NRna%2{#c_Z^etk6o+1=dSzeQeKbU0;Wrywum6MV|~ zW5@5WDUr3Th?~1wqp$1+gs9L@1D?1KMI?}Shd$b3TJf(0G~o759fEstbpB%pzyMc7 ziq+eQ$Oqu|ngV_t^7%s)bBN!XFO<_?h+n5bKWcoteeiD_59SsSKE_`H|63$~cm7`x zNRW0Nf~j{1L_{!qp&uz<=~Nu>2XAld9|2JOgfX-?G2dyF8vxjM8p0g$0oc2oG!meV z9`b|yt`2|0oxdQCeuRL=*LrXFfnW|9@(8YRATuj;Jv@wSHMC88bzITY!4_Uh_OC6r zNxkF8j6k2e_F+L;qv~leoe;gT(kCYr`Wl+XtjUSR?bl1z#R4%O`6cu2+pZ?rMXU|0 z(M&AwITq!=w3^G((c**Uw2g;8r&l&u2SHmwYb7HZ`&Yz)B|4Jc|4I@swU@Q(nBE*c z6-_F%#j!qG472Z(gtIio&WZOiE;pzgJlNSu*g-L8>o|T7UxtAcen$bSvs_!876dS>}MCT z0h;s^mOFjto0$n?rQW7>UDHH5~zhZEEIQDg6v4aLdYE!MCuF znsa&42Mz(q3<)nq9u+?`LB= z4qAaic@{!&6C4)n6agkx=F1-x*|)iT??rcW_V6maj2ztrDIG*TmRM8VN+fiDsX$1I z6mqPz4na688*DAQBf7R$3D6c{IKzY?fcf}48>s5)XUGlP8Mgyz#KOvpodj8h;U9+y zy9{H%<#-}d6J?}z7-`$R0^m@hv;>xb&oSX<&47C(l;l|Vv5^C$n?*H{RCKZV6}*US zqT$`bRC4yJ_XEkVV{>oE)QMxK4G6Ye&TmDl`b7S2k@>@KR^a^i?;tO;9Mr55i&7xD zf!v3>0&Qj2I83QF+TINOIu!&*Zn?$4yu403_7|7@Vy%Afm7aU$6xyQCf13L*BTKBy z)*&fulCnt|aqf*y1hCdTZ66cUH6Y6BqrH6T*m`z`FGTBrFP5xjOGe8(#53~0UT+vB%3P5 z$cBfn)ms+!zglSViV~cUNpjZpHF#V13y3~i3lbcAk_t2e=EL0YZxCv(l)T0rIkYLkLe4(l z2!W@n;JQv|)&11TL21{rKe%=2o04wePA@ zb!XsC8`=|b}UZyACqCBDB0V>lJ#7)0XvwHT9am^J$PEr5o^`BB|6 zm+3F}mw&Wf;mwk+RuQ%DC72+6#16txXc8355EBD^hBJF#XNWD67}JQcCF2V88VV~? z>3~eCo&0qEvcOMZMP^AJ==r7KhGy0MW;w#iD~aVns1n-2;RSmpi|jS-h7vNuhgM%R z9HH*j>Fe>L*Q4`~qdtGF_RHUt3a9O?B;AltpsreCcOkHlbWD)HHM2wn=AVr5o(A|xzCR4G#0kB6nL@tPX*tofSYAo0TCmCkOlA#Y*TI5TV0ssCBeGxvZ=DZrT-}t~O;)Wa z6`e3E)O6~u>{ukrp5TB=bc&ts@thc3x+|cg)Fq{s5}90eK__HL2y#<57R;qfWPBNA91DTwqMiEbY zrNPh1MY(tHfQoZG%VP%X-KuFXw0SF;5DKc{LX7Q3E!(EO=r1d{U)xFIT&A7G8~Rvf z^Mpgu^lA%TL@TcPg|m@!-`kn~0Mn$r#iaD=z&QxX;i1baD|fYjZ39 zg*oj?8E0-uA+UJw48j61Q=hir9Z)S%^)hsa*VO9C?#aVE0ZD8qtojw(oLOCO6RHN! zsZ^XzCpD4YUCW8svBnra`zgs9TlKwF#b|f4GKXY%OE|L)7!uc%kCxVuOk7znTKLij z7SOtRU##aM3F!(M)Fl1!ngsswwBgA;me!AgY%al^eQl@#=-z<3Ze$@UYgYteAOTFT zUh$q^3XufPuSb6IDSl0OE?;@IG3{{HPPI9dOtyJg@VmY$%9l z&us{?N(23Ww(x+DiBl4(`0w6$z5RQdTZd?C1MteU#Q(|-C>fxcKPcrI5v`VKru0NvooT#CC^;OVcpxxs)j@UY zZ93ian*4oL6mrBfpP$y|b+$3QQ$EwpXpy=9F`GtnmR(Ybm&XzC1EN~*IgbF`~0l{iYqS8s8#qm$^sl{sj+hMyht_t0C- zSek1QZ&iF<00SPU75h!9OM*+W?OoxpTp$k60iWw?Egq}8)ERoYNm;R?q;Oi9 z5@R?65G0<&?IT&b`^@up=ZZZ}8W-OGIj%o`3bRSH7JjHir#7D z#pW8N;6!tk#3#G>^Yhq*cngJDa_dI_KK8L@RT(Z-#$Lv->d!cIBa`eB)p3VcG@Jo(|sgo zu>^+~wEDaM$J(IO!WC@SvAX2a)Ll~2g1wcRXOu~Tym1bR?>G03QgQM5Q~QtND0h~= zacH4k036i%IRnUCo4iAUfcW7;M8b4G2hUD*5|TWLew7l`CJ2TpP$~KDcGO+PtK^=z z1tiRHG9R5RwD!`qM5EGXOjiQ@pNENX-dd^ZEw(35+ebw7TSqtywA72(< zpzo?Q7ezSTE~#8Lm#Uw+@pjOc#0_II{Y4n{y{U2}wqVc88x|&t6KVzSjmbJ{GGw*f zE3|L(73>F`nTnw+lVunp@j8jc@>*}hj_%{JQ_qJC!A;mnMUazeWwty~0Sl+ky3dK_ zD@q5)O|_9$bkyRBywq2a#CeTIxm;vd`w~2Pm|n)!k%j}^_8-NQFgnX;UE>hcUzaP* zwQl4D;3Uzr{J!I59yL7`fkbk9I}tl39qo00hj|HH4;>IO+1U%k8)a1giuI0&T|{g2 zlESD>CgHl|j@O~|e6mHq1+$}ZVtb{q`GUoY8Kr(ipTcrLf^(Yq_SvI-?f6_{a=xtZ zf%`DdU+Q2`QcK5gLKI$a_3LLCkU{qYhDOb$*LD7zMT?8BKId9 zgFcc~q=DgY1@eHQv+HS8L5)ZjpO@IZzw)yNGL9k@z4jTobJY{sM#Sa^L9nR9ilL{~ z%`>ZbkAiQmH!EM&Do8I7Y&;gDa{9jk>(uRhfs~_l8$%n!9T%{7i_=7;N1}H_H24+JzEeXcI=Q_!;%1Hb^u$P7%^^6R4!4&~ z*W42y_F{T4>g>E~enQ-h_^Z9fd%#$8+{5XI)PnT_k_h^6vpTykGP+1b@q}M@muKF8 zw9g~an*fU*TX>@Kxor(a)d9Clb$s;RLfQ3l1pl(85b+RKt`QIsO#8t>8Jl#_ZByh-e>j(`8)@-paS zuU1v=4eU-8M^{bHd$AesTDJaFJd%+)`B}h*YzqWaCkEHnHS2QT3lIWQdc5jyuVh9O zYQFZKaPFggu#an3GusA4c(%!48=obP>?SW`N1^y{B4rfc#BDmU(b5ZE2QHcz=e|x+ zqjyY3WwRZutX2v%qDvo|?#uJ+g0Eb+Xr=2v@9<8s?Gn;}8c-fO7;7pLqLout*U8jA*R1uOiRt&Q z>A>$uoQDeAwf170<-$FQLRJz!JSMo~QRl&iTm0X)dKxLpam|oPb!Fpt$JT#TC)C%; z{_MA?lAV*}Fh+OV-%==*T+1Ch-;;>%)hvDwNT~y|?zh)8o{`5ErK;fga0G=r z{#`!G8r$qo6)T4VWv+EzJm^Rfr<5C&EuwJODKB|9Wt5R50uP}ixvc1v1!S&i?r`W$HCzC-}~MfEje| z6fx8dg~eQs$B_LHDWvq8mZvVEp1GB9ByuIs6Be4brVZg zD?^_vPi7l~8FL!{Cp=cs)rh;EZb~g z=w%d#2_$N6ox1Wehbu&Arp3K~54wCP z8lXe128f);W9g)?u3;`v_MgjzD zAc3sbtiBKaOxxlFyB3x-!s_&tB0c~7Y49NrXe%R$^2D?Nays}zwt(^ahC}u`2k?Nv z6z{LEA+|9Een4<}3Se!hPY>4Qt=^D$g`X&6)QB!whtBCOnfC_G$vK_jZE6{+XR@K* z2@iMg9xC6k<#s;RY#OM&$PKz1nPq^os42^8tAlsa9}RDkCwJ=0X0Vxe_WFpA-5FOX zlpojfWv$iMlED6p$!XBx%3Sgx@6FGqrG-=ev@DP7^Sm``Xu7*8Soo=t+LKIGse#hl zn!PYj_M^Ed-wmzKlq2_KA4@eRrRvPvFNN)gx7**n;1 zgR;Ed{MXgSLe!|}j4^Xf2>X*+~mTBmm(EuOX=@E@FGRAlh|MaR3M?FBUQ}m4*7T;&(XE0&{TMgU)qgUHUoRcjsosu_2uH?%Q3MW4{!_g|=2|3|ZWY1e1Xe zMIuxUmyq1eiQf}bfAGOHFT!MnH_?^=vX6bK)mEy_D*ix30x=T6VCqv)3V$r5uwMfcGqdehI2^ zFb8!SMT0v-^$&w#^ug#mboevIBXc1$yD9x$R%Ok7h2@8a>#eGW3d$^{s%HO-npsk< z@BtQxUI>eOt}x|&&lE{(rX0|>Qtof33hN=nC*oagJ6MwYV4F=?lC!Kel8gl)+<=MtJiO}40dndmL{Pj_PBn*nq^{-=tbBsd&m8j4ZCX4 z@{cgahUx2stBp{%Gtcs==&{#~4Yc43ZF_mprl-by1L1b@=o!RVlr=|#?W7rb_u?1U zvjmZFV}*;-IMy^TQ=u=P8L^nV4wiw_*>ijl&d-GN5vC>wENc=0I8l-+%2cv;R}c#H zA27+K_0d5kOkBg+5nQlc2)C%&C!1lHOSIc56a~9^MipI5=dRg*l!!fdam;Qce&KI> zd3&olZ9NR)_Cz?A52V~o?s;pYkNm?D?1IPMRI63)LKe-!tkdvIaxBTvz1=)pygo-oucmNwyNk-bPrl%ZMrUgICgDacUjC(yt1IzE*4W*!_$q{%dQkgBV`6*_(5mq|M0tw0l81c%^pDt&|Gm^A?AOo`;=+qqGoW}_gJs`ybuKInCX0nm6Ot z!w*SG%=Y>*VZ_-pyID6DPL{!bVmSee7IXXk8Z}n&P$q@u{pFwjlxHP zg&{5-cNhd}Xk+87$y_5p&W1yhOIsGp1LO!%O-7<8ls>3{W1oEPjs$}2$^<8+Z%fWL zf~qpgAEU&XV&4Cbs}ic0s8P;|vA!??9V_vju3fcHP?wg0XvUD)u0*w5ny{0?kqxfR z@PWKyb>;yQQND(Q@Q-^SLr>sHA@sf&g__e5) z`6eLbVaW?wW@$q&n4l1fYi5$2$U|aoMqr~K({xw4YFkyXgD@){O z{*kA5jenJ3+)9J9|K4Z<1lqTXJ;Tmc`-;&6qohlO?n-FvXe9XaRk&N=-nclejGUuQ z$rsL5in_=sIithMZvSDu(c3V!CEmjoLuL*~*?ePg?c?rI4))M_l0KJ4Ob&K8TxM~mkS|4d4{&{)qHG`iZ- zwii64dOL3nS$3D=)wUlyKu;?@XJhwV*5xcz<(gVXZuInQ8ExlY-*7^Vm`4=aV?&O( zRKF;?)`1BeMsnaZcMjTdx5GX%kNp4(1FloxV{>{~ACvTr#%GF@(Pg37)6Mi#qh!l! z{mRVa+y6?!tbnUl#_G{7;Cp7F>2g~Vgp3BZfQ2OCH$KGy8fDwH(lDH+U>7xz%Swy3 zq4f9)Umi^*Jmu^y_V4?c$M?xj9hnevYEvt7H zTZQI&W!;dvle%O*MrbWJkx?^*BVt0%aZ*NmxQS42hf3+5LW7icS7!fXh78ucENJMd z96h7#=GzFIri%24jHOQ8vQ8`*9p;I7$adrxKy-@pZGodxw#P zqH+by28tXejh7xYA z(9RinEs3^c^vco`sLvhud%|DnV_;sfl(ye-fahW+X>z(Jn#}xYLu8Ly3jP68`}y-m zTpHJd5ZB|gV`OTw!ev=3{q`DV_UvPIEx*nozAb`hlx@a5n2azs?O#($!!wqJ=QHIw zL7vlj*-CuQ6!0F+Ip7wcm8ke0=hZ_bNw_Iu&&5t??PEttD;+8D)SbmSb4ff*vaB<* zSOqtQ5GxkRF+^`7YK-@uMsifWiC#qFA8+&;ueYdlh0`CH0#m`@(6`J{~&tOjV*=ag~w>V`l3 z$MCM?7(6)j302fB9!b46jxcj5FG3zIbb@Rfr@!~UUET+}swkV!n5TnhmIA0_P_xPd zFH#VLy;ily%N?|_ zK-y|sAfIp3q<%g+%E|mQgTtG+j-7Q!o;?V1`eYuc13FXCXdjHM`=*CZT&KeV@#jP_^@7bx1rK>74!A zBm43G?WqQY$*iw8mT;si}=AAy{GU!sb?GzGBrIZ6?nW{0gL|$3D;k(hy zj*t3voKiCcv4ocvF>AuX{6_jEckn3r(DG26%ZGqO1$|VEgbgQ;!X>;(WZ`Pv zRqmYyU@oVyv_up=alPDB;2nb*Aja&e|HCr4MEawVev`U~`hqp5)6t|gkKX85fPLW z6)_%p2lI8u?f16kdFNv_^Y)6{EARU==NXPItT!Q_5!3=Ot zeK9N~C?Zfm@vozBp)tTxpB@u5pBi*tkSO0A*;b{viyr#qD0;y5aSgfuvL6C5H8mCW z4Gmu2HKM8{DM?n_a z8yH}RIf|tZDI%nxD-XG6HU!|Q$9Zxy6C~LJ7@1*ywCzBihu?!2UUD%w0m;})PK(zmtGw9HQxHb1W3~W%)bpw1K6$A)#G8{nPI>_&z5Ldqb4Q4YU zHu&!b(VZFg6=fAMVWl`58wGF>*}Fy_HY}J+KYkbe-K((tUN3~E-0{sq&RRsKA=1 zs~>3-lo{~^a->)MYeAo$0ub~N4F2)!Hq=LoY+wKYJ@E%x7s}CxO!R9sT9F^yWpsU` zNJr>L4j#$<3wU~b_cDnI!2pf$|NJ@pvFhb#5pp^1a(nZ0`)ZRB0Xqk|!$3^~hKvjk z0t^l=9sne+i0*bRo(AgqO#FW$R)pD!fEN3zM(~&P(7e8Z0Jj8=cR)WmQV0Deo3leP+?zXGAJOUi~LyopueAp2Ig?-2&jb!L+tFoqmy<$6LPTw29V{v z$Z($?6#&o>f&AZkgNWn3$R752b^aelfrjq)*VGG02$Cc60pVd%fIcepl~f=egDNt_ z8;nr~WWdK);9memFu!5_AAq$}06>f+^5~SiB;>#O6V&wqw8)-MTn4_FzUM-}OTW2W z`k-`XKzPrT@5FEA@Bm84pyEA-V!g=^>F)s#>IH}kVMdk!=XhurH26$fnFK*?~V{$e{N*&$l5AuaL$McHRWQdB(j!=o)72j7|E(?-KO9^Ik9$5A! z8CI;HHF*YJ(XF3ScgfcJnB+8(d37`X-4Jm<^D^2mmTelkTW?qyYKQNinFhC8o4nE9 z$@l&7j5zSi|B8aerzt3b_hb&L1tv;cU@viHSa#Y2kd3-MB0ZNv3@+}>5;?CYi8|B~ zc_j8+y3ND8h8jov6V1DZEe(*JpPXwhFrunoLKpiE_t*R2%dfGjr0f5EDWTPPZ^Kk%9mb^P>R@fAe$C&_z;kme29?R8~x;p^J>HziHLa| ze#6Z8#t;Uq343kL$OL`20w|>gh4D;F;u6Uki*K^&Cykq;tr3T&=@md?x!OudX~GpS zAr3%uU05he*iY7C96ncd``8e6r*}vl)VqzUobohZIjFub}!Oiz)`mHk`}lIfE?SzUkGYww1tcD zjB>X2q+ni*x0BbMv_4m_CXbSU6Zk}&ofWLvvdFrcfTWZ6yD4Q9?uG&G@SkEySwfEI zz|*NTVq6$mQJgY*JvpN(4NIR?J4yGpa`An#6wAz+)g?u+8E-WdL)O~mITZ@`vh9%N zsO>v1BNBlQdc8p}6l*ng%{)&F?*F!9u>~Yoq`yyGtR*3dsw5$RUnVtc+rc-dmOeX$ z`8X&40a^JfolTuxANpt!nKl)T%c`r3xhi?ZLN|1L`_J1-U)2bNI=h2b%(tjr=3Sw0 z5RZ!_%nDdx+u);ZutT-eHZJ&TP9G>wT{}tVqkj0feB?e7XnmM5fxMQl+C7^+W5?^D z*Oi*Vc9b?mXat$vlR$vWPg6LF;Lv=EOs;Sbe|5wdXX zW2ZrR(ySzUt9i@S3e3VPz=N-%dPQv=hb-RBvK5Lf?PWuh`t}7nswlrRFeE|M3?#{9rL)SdPOCNTlprrpw&rv5cI~u8 zx9`@=jp6+1DCDWfLLT7!H_>Ba=1dOnc0!IFB~jBkGi0L}nNQ9eWk+dO#qx-$wn<5Y z)Ah*qI3uW=GODrQn$w|QBfW&%Q8fW7ahdcL%XLM?3lwPh# z!SrbG!tDs{WqFLHG1m!O5L^q%EEet3$8!xza^>?I*X2z(?94kG6Iqxy@*$ypttxA& z`_Q-4jh^du0p*x}3~VlW8WxrpPBF>FZKtdINH9TwPLD%IP%Bj^XnEK9ZlDgO;)p-%_NM2hTt1|e8_6O1~vp_ztA2yZ45p2a;Sbgf;J!? zeonHjoq`gUCN8gUwlz=FUs@0NjS(OR#8QOj4o47+92UG z(rV+B#YJ+`CGi67!{qpT&R#>>&!HJz9SX3}SF8SMJP2k5p)`(ur(9P#S-&!>)yfmJ z_v8RRpoHN4zHe&?S=wtqV1E zLP~KMqe#_Gj3wTnNV5^_uKQ0r=oMT7*ETbL$ttdzYdgz8Qh;fG3;jz3=P`E2e)A7M zFjMT=_72U^(*1ZmMr)pv6f|sDU%x&?3T2TgkBMXtWfx&=QtRm|=N3{DblGOSkL@*( z4^PkR1Wlb(O12_qDMF8wHd>L+-q(4-&g&<@qn@!~0`Vr8%h@>g6gO`Kkb5O3U1o81 z;SPUT`p1-=?||C##5B!_-Ltxt153n7O}dpS@y>v|bIIjA-smKs0D=S}l{{B61@a^C% z1QhcXC5r9jOQOoO(T?6<{5heveIWY5cV%o(8d=3; z99fMERY-5W6Sep{TOQS>-GZrkiI{AaqcJcxb$O;JN5c1vvxuqnvEuh{D>bp5OF_Op;{qF&zPv z;9IyC^#wLn9n*qSrEbjpF^P+AilLJoh4}O~TZiXRmgsmi;+%4*1BD-<8Oud2h{b`5 z?C8~z2-QtZyi1l%v8du=2||pg>&9k@kQ)0r;--^+ghK~^mlBqosa^k{|eePYwpo7}zdQTVZi9vrK+ zDqAAw1LcAswdUax4{xKBp#s=4){VN`S{-I4xttcORyhCahg>>_jkB~iIDFLwD|&Km z>211DZ!2YFEULNbJP!K&cl0&HXTXoM`#NkmUvOi1dt!V%n+Y1InN>)6{DY$+F^JfW zdVY^o)CSXkHPr}oA_(1p&bE#OxOb?{mJ76p2`MYPIH)Zl)$>39)SQl;L4*kG^-xmC zCt&pe6`jW;{8<=TsL1b*<5lQvYkx%g(aRoBWP&J{R;C^CdXWUIOenlJkOJUA2|<< zv}kLLru+*(>h|g)jx=$MQYsy7$)RlgyB%AI4ZCy-<2P=STfW=l8j#|&h`UKEd?r+9 z^PkL&G%U-gsSKAkkbEvH&hR_>tC(YPP3eV5GsBy;?~$SrTY5LK)~GyZh5{{@sp;~V zz3u07z0rk_h8Pa!tU0&~CgdsR|Lt;L_1mXx;E&^!VQjzOyl4o>)kmMc0fhw!ryePl z?3wdEzwW+FfHB%<@^OZC#ZkMpGz8(bWB6DTZJe9?A~t>Un4Y%QdaLkg&m}t4aRA+a zynUPU9|l={*l6U1YI=&z=ZO_uT&)`Zo08LQf2RDveEJx<@G+$=%2Z8b;)0wYY5`I0 zmDt$}A|oX_u& z5LJV|NOZUTN?m*QJ}u5$cVTnm?s8+V2=FkH0oz6$0x2ctXmrCoaO0|>c5ZWur%Qs7 z8#s-C&#z1!Iq1dnD1a?7(5NG=;c>&iFxFqG+RI{}s3lXBir2QX5zZ{9 zm-6_uv_|-7xnQYkOT>M`6HJA;mRob^rB6e!yE~2(v!T37?}$a`JkL*?2o4}~h}*~m z>E8J0NmDg!Yla%XE%hW9)g&d+czAz;ZeB5OICT!{HBe$~qIU zV9|CNkx1JDI=5jVd>i8r)QHl_t!SWdKb5`xHZFFgB>+R9ZNK~R97rRlo(SdPGdw~ zy{JNcaPhvB&AVvnA6F}yO+-!-Wad-BMPMwC=XxM+{{bz9Nc{9^<8)S9<2g&-gGKNn zExNn+)maR(KtrmcK6{Dlq(?hV4Km?x_LHoYR5FV4PJFG=-Km;4W==*`ypJ-qj1WG><)3vM6P`roBky!jcZpnon+ z8d(?O(#KQJj$kM2j(^U1dW;1}i=_G9s^G#T`OQVeKV9*CH!(Wrb)?>t*Ak9b6~n?d zFD*^BCluLWv7G@ZJM+S7)O$rAqMW{VIM|emFnGfH({51bQ3VU3Nmbe^%Jk)x+%dFP z1^qNFVt?q?>AT~q_Gcg4ybgs6nte=T(?*|SaiO#9_#z5fWszFBYc*+?P?PSXiXbU8 zwl#FJv#{F6EY^oLuW3gw>=1?tzP@zIf*;AVY-5W-H%Vvbnf#RkZ4^K7s z8_#d~fti$9Dj~Tk2BBq2$5lst;Tuuu?LbpQEzY@@kGi|c)!SEi^Os)q@R?r-Ha8ZYLc|fnZqc;Aq z;eEz6m@z%}bMW~2<)P4s87XN|8yN~~HBe0w%}Mu4m4pOQ)Ymsq3f=4jk7flk(6Y9O z5`CI_6z2|I_^ist+EO|Hv{#z4&JrI6ZjpLFZw_pdd$wKcp$9XQ-z3A{EH?hVNj;~B zeHhS3*~*+)Lvl9mQ$%hjM1r<^xeay|Y;JrEbJVv**knRzoolJZLXU|h z_ADesgZiv}8^_>^#au7jE8!TH6*x^R^JD4A0`WBNRc>#dw4G z6AO}C3$2G{zBqfeWzpP5*U}+EaYj0L9^}&20LxGdK0$leuv>YD(~#!&(4crRY;n@| z^Xt6{LVgK4iOSR33G;@zT~1zrm=w#4Gj{>0RqZuGIFJ^tXC>WIn8lU_>Z$324&Qcb z;_@xz*Up_drRn;D{IeF;_7NL&o4k?rgK=cinpwRz3d&ZsPEzIhek4};d^2M^%?p^? zChKCOSKrx0OTP^B#Y&*HMY>jDj-f(+;QKq}{*b9zDe11KHs4S;?)`b!vm!+dKJzUs z%dvrT>=~J z`0gepc3Gx|@4MExJ|54*4gYszfU?2h*|?`H;b3s;P0-8-aqKo~nL5vShdl^Ao#OOUQ0q@@yb5w;KJeKCd>q6!8`X4io%=Ou7Z?o zyKBQ`?lDG1hhUZW_Q_hHggF)w8NPFz&wHh|d9+dO%7dU6&2Z)<_R1Si4LmkV9PD(5 zVKR@1yL4nyO7pwxny1vWdg@j1zLh8}QX$vaWc+kf+)ibkLAI&y>rXNF{#|}_*R*I; z`(D0sz|}gp^J{IDIKtJ~F-+YiTiH;XlQ8s*)tdyi$SM9yZ1utM}L!`b(r0zxHB(!$PoGu{TmFIx4Y<=CzbX$1LOC zpdh45?#BpzY|>EB7_)c=3V-Z1&@5=4wx=0tPX6H0p)r{I*g>$RyqObd=-xpfF62pP z42}E+sr#eBpS0h6Ka~zn5zVE6qrh_*F_#4m{mCO!>?JZS8QaV*vg5~1Hf&fKvar`S z)i=|umSoFaIX%zT7!hAt&88{ha0Wjm4PTXKt{n2-)ishNIa|eywql~h$0jsoNb$e5 zgK?UY$)XQh6f^gaP;y)md!|-)p(0AOX>EB_>XO_xcn2E!>ttt6d?spmt8{d9XY`iZ z;jY?y3soTB<;}fi>(<)iSNKJKGu}rObnMki{jU;JYcU^#*~9nxybO*>qY|I4-kmBK zg*aUru`06{rt!KM(z(~V9m=TpB3ehv{wqHo>PqIR9)&w^q|Dqlm8PaCs@`11oi5y| zs_2Adruew9JtdP9)z9^4(tL;3-5g#E{ks<|tiHEleJP-N2zr|eOaCnnDDd2TW+>3O zV0c|$Hjv$yn+TqQGaniBM3ivgJZt8u?$)s4@jD3t7SFX*eruhLCJf5jfWrbS*DDKg zaO|bVgKW(GyHf7=5M!|JV&h)z1Zz+M?i_?PV3Ei69MQe>?W4)Xe4z0gZtGE7N zjGaS}C{ciA%eHOfmu=g&ZQHhO+qUgrwr#tre=nwEBD!aym$}Z!7xD6*drvm1;qjey zE1P3T@#({=2;u>4d&B)!HRO;}@z=>T=O3`J>Fel8LpPZsQB*F4jIC%+i;(>g-nvoz zZO02h4%Tyom5zSk&C0)Wy<5x*=KQokdr8=#= zD*<}X65dI7{;sYXbM2ZsLeblfv4T09Hy#}RlutZc2W=w{w&jsrG^lG#jdUoO$xxb@mZZlihi9=f+-$%@^z`9w%E3a6`LgU)%K!Q9^s_T<4<|MNe$CH0 z(abdS)+n0gFDRtzvTLCEwVtHz_Xr{mlp&djX0p37~0H89Y$oT;L{QTi^ z{QL-MDa!zn&Y@p1hmBYQdk_@UDi3iGpzI*Q-6JRhC}4#VN3uNAOMk)KqDle zAOL|tKuCVzgL{bpBJt!)X!#T1?hsBP1oj%J`nJ6G4#ArvJUnw zp#y+zmjOR4u>fq?!Y}m(u>3&p0DSS`0LH<;%C>H=@8D3vkNzb&E#PYc zIfMWD6ijxFDq5RRh#wvPh21m#TQC#-v`D*^x}96A7JtwX!tg#GsA*hm9m z{+z#83BP6;n?|aREh_#U?flva5LVtGWJ|c^$KVBlL_kD9NI^yg<=+lWu%i$DlLrLGYa6dea!2mHDdeAr zJq@exwh2Z8U2DR0v^%Ity7Ulu`l~8?R2@Wj&)v~)8^x-v^+b7e1?@iQ}r%v{F7njnDo$L32 zTOIQ?dO!B0K%l4ZCDjN5`^pP zIK9t)D6i=R#wFyeA7MVP4%#1`g5ZvC>)Jmc$5szvxQ5nGA%64yy{TMZ`e=yN9h_qW7DQ%o7b_n5Bt3>`7Uo5AF0r9&o4W?{tf>P|2d#fD zoeyRBhvX+Y{w?WENa#xydw>7n;gWhBEz;fz?EQ=A_Yk-q{EHR+-AdI?=Hc~Y_0r3$ z4T1h<3kHS;^+p|i$5ofuZ7#~q=V`!e#pRGZyW7|4&Nc2fSp7VEdA&gDPO0N*0I%>} zg)|mE5Hdg5=4%KdI`E_A`{sC*;_D!$j6FY=` z+d}l(dpz^@hETR#N!;`1S#+eUx9)1OYdphcJH}GMr5oQQsT(r%9*vN$OdZ@%QdxX~t*-mpiyRdyv-Lu~*^OwOMjG}jorfAi8w}7UU6RO&b=MXpb(jg`J8>5x`s z*b;J%FqKwUbfi;an)r|WfMlH}+>Q=>^XHE|ySJA2%itW7jK*X89rxMSBXwzYeF-cY3V1+Kj*Wf#`_u`mcr)IFw&-Y(Aa=od%M`UzLiY}VQq>i zh|8nJok-{OI_4SCPn`&+nh0yTow!}@s8kL=3=9-X$Ay+k3y>q0j>Q%4Kkvqe-vS?3 z$+JQ9`8*wwHd2nxp8-wB%-^$%km*NNYOo4=Q7MXtR0VmuH<{!UJd+q*oTTA+^m9jj zUA4t*M9(kscGLn?G4U08$wmL_Y2UfgK!@SY$vwbkW6Zr!*IQltbTf1xXmxEGnMUaKi`gqCUD z3m?yC&K*u~`!KaudOPo*Jm5^ioA2&q5YWmxFVqDNpX7^<#S8j3W< zr@dfxUqsK8w;iN7J4ekMem3B0wggVqk#SZA^F^Oqyma4cICX1n&Kf$V5A&l6vizs> zUkx?$*gxG9$g@Y{CR3K!@n*`*Gk0}>q+9!TSnH`7Zr5(Q*{-_kkJI?#z{wTU5vwnl zd4T*>YG-FMUk^dejh+I&Sk_BpOJE$Yqe2<-S?$7@Nov#QtHf#?Fug~WXZex!Jo z4)vW_QHgwRp9HHoh~9-hI3z}(Lz!NY_NsYz@1zOc6tns_)AK*6&FE;ec05j0XWI2M za;|yi@Q3FrP20WaZLN>=J=0`vH|i1<=+73tH_1L*(X^9o>scqr2zM*isG={7&WEX9 zRA*R3@J!SwXT~R4z0$0iS?cq=MamcA?)a5_2szd+p8i_i#6X!3e*OHjw}O6kx-PcUG)#lpV96 z$*1rg3g%1Q47;GgB_obksey!VgfXV_&+}RueGnw+GSs=5SJiiWDEN5Xhi}k-g~Ark zbcFN+xaH8~`==9U_ZST{1>#|dp7~#T)(S6QEfuu=F1nK}K0NS958}T@Zwt1BYO0sT zRD&Ntif9dSvfUHX5OBJRP_q#Fv)iHA({s{zdH7w9w@}q1L zd{&gru23rW`MpaTyZDMp{I@GFTFhH%ZFcV-X2PjXoS<|Ff>g6X4m*?CbFaoq$`S{R zP_6YmlGss(KtObHlX2EKDCZ3lGQy5jOs2h*#^~z#?qaW4;S|4BBf(*ZMG$(UNeTNZ z?;<yu=ugbLzI-B`wEmKM#w6@8XPQYn0- z+c|5H1#QdUrpSc38Aj~%y*uh6hr9F_w=Y}pm+2lhn-MMG z94((4CeoHN8uw-C7^BN^J*B!Vw<(X>ux_Td68FCO=#pkAHwpLdy*o4)1NvF_ApA{a ztk1+ikT9jQ?RnrS%*3P6g_jt`{p_`*U^ttvIQBtHmfj7>q<;;86tQRmII_j5- zdOiDT_~=weHi#f(mJU-%R$3%31Y=y)z@<^!GZfz)$xOIt^=8)y?FMnQHTG5YiqAa= zDoHt0z_;*q5eD5PHF`3-+SBy>*@WShL`tBRhAn4%p>c2ExTMpbd6Z#0H&OdG=wL%( z!a(MlQvR2uEny=6{Q??07nBoy9!JfIMrAU*T)0%jI_6m3!Ai?H-LHk^dp;coQv~Pl zqr6Acyp=1;pYe4**)aqmzM;O+E>E$|CeQoOdT)+hSYl(}7#EkN|)1n1l{4PmJE$o96-LHl@EfXW% z(kfDpv`mkzOBT;9Enh}emnkNP+}o!!maJmQ#dmA97^0gcZdfcro5MsZV~tEBWSeh} zXKcRET^)zH*c@qHeAb)9rT>SBLqj6jY#VfkHc? zY1;}8Z>{F~rASBBKwhC1lW?><$h<91{8)f5#4Zj!+fM6F0l76zGot76g2t-m8IV(x zZ0>66=iGw_t14jB>vnH&;bY?_hdi-5X$DUtGa}yJh-|iJ(76gAYP9|Sx_{T3)TrdO zWTGVl`BD2?%dB0)>Ea&>w;|kob*!F6T5$J3`;KP!)P+FwrKFLc8`MfX>Hz}kIvg^x zo`mRuUyr_ztQUzh_(LcLfLPpc|LwI5&p6?uMFPuy9(ukOU~H>(n=EK?Yg^kxa9U*# zg(WXlqX`DRxtq6cS)%<(^4oGeXuVm8ER&nv%Plxe$PB)N;*q9VLBW^3^@3=Tr=}rC zvw_omp8}mP4|OSwkQXUYdP`kf(xO5uQi16YC8ZsPw`^$jw00@MY6fAG4pJq|%W$la zYSZ3pK9ABO5h%@X%>8OvJDP7XG1MT&+t?pfAR`FY&l(n#XMj5s=OB*TBK7_!j#`lz(0#5;82k2bX01yM-`~gLAU5j>eP(&foH-1cN}1_*AZ$H%zR87zO{|<= z4XElh_BoX~gZ?}I(z9LeR#s>&)rF=~Ht{y}4TWno-HG>pUOX@D7vvzAC-q zJ&oeRS7&{HX;|U4Y*m*34mguXNRauO^TkqfV>WlSXdk%^p!|Z$Kz|}w?eG7LY4p|% z5l3^4O&!8e(LXBTE6#0f^?ptEp05k z5-G#6h}n#C^j%~?)pjS;J|H&7c=-QtS|@id-`Rc;dIB1|dA*FanWEf_Yt(*fGsak9 zN0UoTcysZ3q;kSVBx^Dq9wYPrb-Nkp`NXzYQvB@c#F`lf>j{|qatJ2T>vD*zkp?pp zTh-)h-N(Cfl(NM`P`oj~vQnb4cop}*XG2b5RoMJKYl34cL2{47_*mF%{1S>r z@l-K+&Ek3kPrkm)-!3KhbaL&(RX0xacm?s&M491TE*_&S$V zigY@_^{DA;c)#Pm&yEPeTBHlG$B$qSYv;|V(+}&|f*HNthtbz&RC=PjN8GpwncFkJ&oC_(@ASMsd)#`#g^Nj(apy-Y;1HXm*fk1Ulh`!q(m`-9B8UfO>_uSRV}+*M}^x37FS+2 zJmOgve;*<49<)|Felzsh7yWf`aDS?RqaM<9verOl%ohYT;wa5S&0fJekR?;mkfZ%6XKDLF`HCF6rqDmsCb60L^EJ$ z@`k2af<`FA61qP!#^V0-<+_}yrQR^DU>cb>5zxx+!fvanxS%5N#x(IPwyK4$HGVWx z`I_azMDhDz`J3*j@g9-O`i752|Av${LNpem6F}8GC0uhNu&{Fj9R6*hV{-hmp+osKum^5vcjAcof)r`c=qGs{d~SoXB22B?&Qk#xVvB6&rVMl8NoBQ2aJSFqwJjL zhr%&w4pO7|{K1oSC6$6bP@rh5{W;HB&W@NY7LNs7#E)3Rd-1BI@k^GlKR$2OKg7<1 zWoISrk4yx3mmkK>>1@MtM5K|lu9=>b;%trPrSlJ2hj{K_F%P~*yNb$Wjcp!#(%&zN zS+2liR^w_^=e-{{&`DzLhXKKP>xt4TbZ_A1=Tn${tv=rKi}USG;iXg(mo5gVnix~j1*bB{CH?WAtZ+xfY% z_hr539z^2cEeD`fI8@HJPgK++9&jMhtS>=InBSg}LJjK#X!_AKdVRhb z1SgK(oTql>7+r77MJG(@s9&U|Y|6CEDBOMJHe{S4HzD^PZdb#DG!^O)E!vMLrrKZYENgw{_MKz@)_ry@ zejD9k$YyiO5EpE6hWHDLEuEjJ9~BOEO;d9qw8x1<6NGgumGT9SZUECBv>06K?_akG^7F!7%tU|LG48s3FS>0@|qJvtkG#%Ce`-n1n ze{^z%fy=-s6jP95Td+*-nY~^U_wi=`Xj=$_^2ueUH#@U`wl@ZA3!Xvb3{>msZlls_ zqDTrJ>(E(|v)7p+nCIa}YN8<9F1D|1&1si{IZ8N%P*gHUf>a@8NH;zc>++R8cuu*v z=W4|NW$Gq#xxK^+EMg4M5c91C-UC<^Z5-v5w!9uWFL_Ak=OEQSO8Rne&qn;Fq>0`O zg>CGN%@17API`5;9-EMZT=Mw=5}2 z6fIwnQTvH8`u$A2I7zeM6ftnOZMv66YjMM%ABCq1M7dBQGqKEWB8J&AA=CY-6LG2 zLZ4|*!->@nwdF2T%uc1qX;j$sFTjz;W$9pZ86p6Mm`##f9{UWJx1mb_8CWek+Jk8d z<@NdsF2hK-_0YR`J>9|ycWYUIXY-UOh>YXg#$}VXa7RjYTJDuU>wK>KNckGjhC-f0 zoTf8}To1|0uOo%OVc0tnf?;pBtZ9Hijrix?&kQ3|S9zc=MD+Hx#YUDUm|bN%h1_2@ z=8?HMXMpX2iI+KPk-TEW;1G8)UyK80a4fo>pDmXF9jSx*lJNClEq-;>ue)P{_Of2I z#N#|Nln!V2CCT(S_EhTzpg{FuK0B05G8}{GRvyNY_1PpjqEn=oUw(&>M6`6^y9`I3 zLsEPpXbGbte!kb1rSf$~@=3PZkV(!%)f+uoD^T5LY!x9rCGgD-zI3I1MR|ptWC5mzn7RH7c}N#!0B_@re?r3jX26Pu})5&r>%}%H(y&Y#Pd3yH@vuE(|KYMm?63_;ND;Ix6wG zuBV8}-eFdVeCiEba7#}Xoe`F`)j9RNA{}OT_tIFgLolW+N314hw#milt$H;R3t6qj5%=(?7Ru^^(Ip zqnKHZTCLJb3|-C!-dnqF4Mo}JyyyDYnE%m7u~e@zOyCy?(APv%Isy)xZHBE~c?j`X z4xQ+Y6+N$NXS*#_H`Xp@_`!Fjb(CrPTrr#`cHT{F5s7y45FkCca*d?+XUxucbt^mB zDN>Ef53Q&u<`X@V30bgR8z=J{r0^U%`9Ny3J${rV({7KX)hLl2LpAs|`{|0>t%vG1 zuQ^wD`VI)=We6({=UxP8vF7x!5z2;VBd5lU-NVWlbcImg@mOj(!H93L5*li~Lw{|2 z=js%rXf*ve<);pN%Gol4$&?MqKBy?{8Uhm+eZRIiffn zTW8BLZF?;jL*%7Xm@Aq@;1CVB-go@}(v&q<{5*AoV_-w8!t`{OaV-1v(GDU5Q4YvM?4QZ zWY%b33U+^~871a1XC*#34TVHBwK}G@)`?c8SW#E3i^FUuf=e&d>7qB}AmIAH0CP!7 z)qB5RdxE>KV^B8kxI*kx<~njdkhqd_^4*iA`<1!xEJx?aw`n;2Jq(hc+yA68B10R; z{Yx>E$R^(ZU3R&L5zDviks5Zq-)!UGKt`+N2h}y#4nnR$flC)SK<(^Nh;n3P6PHR}%igQK^*Xj2C zGrK`VQgAzUh#FbuQFn#;4pYn_b(7v|D!-A<(ZN< zf+Q|a*xbAO4Jk>J$rcilfu9Cqb_c}$&tl2Yi%xVh;|k_2A>GCejmPBPu>lN&8$#di zfJ5NvKvQDNi0!N!c1pb4tw6G22*o9~sBLW=8NX;00QUh3$})|x zM7ISl@MOa2GMB8y4Yla3r|?#Yp`jh}iu)1UM#yt)KbU6J1O`}Y+JYz+JZ_2>k)S0Y zLm~}h@n5qmajNj6?R87AHdb`&Uw4EVK9 zSKT1j7vckmTpPjIFHnq<1z{{ml$U);WjV@Ty}axDH*>PFnbjPht0+$8#M*k}`uK#} zVQ;fefa*+8aexZfkvWs~Pt#qF=Y}rZ3f^_|L53ap<*c&_+&5z6PTW?-3gof{I)yG2 z9#?dR{F%V$h}0I%{B%LkMiRT&wqf426MW#i25`sqVeRtB4K4hlZ->|N&TP5upvHm- zpIaCMnR>+M_lX!~s?K<+XK&O$;drSzK`>fVHTkI9gMGjIgV5D$oc)Cy1k>Z~?5=h$ z%fBUxNvPVfzUwMbHBpxq??!#_rVbx|NNr@W6I( zk+c^0d5oyRz*@!DuQnUU*Nbz(_-SQOkB$ZjYHZYP#jfjv;xspJiW@K;y)>*!Bh9h0 z(h|E{?q0ekW|@jjEciwVIBrk&NXd_L_(6CMQOV#nVKd(zk*vMpWs7ilL{?Pa_*b)qi z@6?2#g}8&=Xo}9t-U>5?b=EGPQ8ll5Qjz!Z^|a--+he zZ!L?Re)|lx%Mg|zB{Eyz${`{61x`G}aIL4?X^Pjv!8lwsvQFwIJu`oF;dF)}MjBGm zJ9u&+R4?!tOy=Kd9~|>=NS8EnCCsSM&Pc4dgp~!qjm4(x6(B-#7dNHmU_P;TE*RYs z+(BpiDpj^R5Hc(-tJTQm&Z>%J;NcqMAal;C(A-FeT4hs5vue`^=>>%{86s1|KSmL zo$3EzPmBZ{EF6sgKhP=J3Y`^393mWwA|{$(n}PZ7b`B8(Fbqro{5Ao>_I3=xHqc*j zw;*S>zuxY#w;Y~7el@pRO)Jw*w^p}4*WG!9el_{hbP$19{v-LRtxwZ1(pvxq8Vay~ z0FaTXfsv7+u{b)QhF5UDq@qP@!CC_Z@>93^C?PiepKb7si9TB4Jsahv{F8Gy{4-Gd zr)OuT2WEyr^bHITKJti`La_-7?cf0cjWGcf<)!FhVzeh8p(UrT&T3c1OqNCy9;9x$` z=)uZk?zJpA{eg#9K=MIC18lAa2>R!O0UbZk_WGEN_=&;G)A{xNrcw$-Tj4%f_4|YR zaSS0^gL%}~Gy?ls{lOjm8;fE1cc84_+Zv~Lp`88oS^(*p=zkAy(w^nS5T^Q~pJ8DO z&{RKCWf7!|{1Jz7VB*n}4C-B)OMuU`0)442vWD{EU;g<<5uAL2z(e|oR>8v|seqpF zk-k#!rsu&7O`whZ1*ZK<$KMubgi=Ik1qS7zq3cU%VXn=*i4d^s_l4GTFn({UGf0;P z{vNLmKo~+Yeq?}*&qgXNBN^I&r=q-zAg4d zCZWF3#lM%m5dyQJQq9yYPEXQ_xUR*OiKY zxsCoE2oBDV1wi*iBk<1+fgXp{H$4ObVrN$eu=V>;m=F7k3_8~{l8_>%@V~sZ$G>>$ zi@)}h0a&iP&IkKCmxBACZ`B7_?o+BA0x@Rvelz^>%YE*X{`nRCDogv_O#WpfVBm6k z?9;F8yZeQ&wgY5v`zX1iZ*gsf$0mUGSp%N>t*i|C-O<#bhcGm|*Hiwh`fGp;LK`#l zOGyku2Ic?~ghJ37O6C_gwd=T?XJrc407A`g5TEx7<)51oan83kWQ&=}vxQq9_U{il z5MT9dUUFe-sQmmKt`T4(@RN=8Q_g%ko@fLp1V}qQ9}O|Y)!QlxFa{<~K`T6&f7sI& zfT%ona~`gVsR1B8*4i0%po}%4YJOMF_L>MsM>58#i* zEMimBS-)XFbEhw2-}VDvvpsKf^y%5bgE~I|`2OAApEY42 zuB)%dl{FNua(>`4v{d(dx1RGBv%ke`i&6`bk1v2q7{yx_J!O#T{9On;p9~G2c zU!eu9^w)=A7HW6NdJ}7&H%CaTFw)=NQEA|?32C??TT5^< zqp`+6-^Wp@cvYn17^nHF6`T9Y`pH;nvmfR*+#XWdX@xI~aY#wPD3cdDq2v(2_(2MH z>>L_-1aGX6WNbc2A2jToD>Uz5t~B)Z=pr<&E*bL+V?bX!97^Kg@EWoNTRWrmiM%p9 zzSw>1qp}1wY#{c|$YrC_P?x8_568w5v{0Qj~C-*k5MP9NN1Cy(N0TuSO6%bf+R# z2c81SeiSwAYiw^;QLH3ttJCQmoNYK|Z=sl$Am@9Vq3#~$i5GODERsVlvRIQ|VpbrW zN-q?A0q9)9?BwTACc3dRiz;?vr{o*PFP0KykW-hN%Om=T046+B2&&|n=?i<~GaQbR zZ#rpPR@(EP3j&~rs`LI#aM=mBK;Dr{^i0)f5CF?gdD zwl26)+ck}32x9yV{N)XB;YS;$oRi))^r*~JW1Zy;2SJfI(Jj8r858c*(mLZKJRXIA z90y}m1}?c4s~tvag-&&`V1qEtLGTnYoUUZ{>)HEXTb<1qRCO$x+}j+29T@M}VQO`^ zRwhaf60?TATHW4*oQlIBvm#+hn)H2ai-|61i5hW|tU>VD13K@GbjE%JPb|MYIs%@f zv&0PdmLoATYEEI7$|*&MFF}q{fVAPfP_-JGiASYwM|u!jnJRYcruOmylPI09py`C^ zXvRGk_Z?Lpd%1n_zgjo^%92yJ{xg?LrsT42kkq3~--`|-g6zxp^5r*@1LFQb7IAek zFY`2qo3?q+M2PTGL4(s}$Dj@!<8hU_vUA=H#x0_mo$skxA0&m>+&;>A^7R40n*{jD zwQha=%F-58v_Vhdqo3M?@F8&LcfPZ`skLM(XSzB9%&=!UdnqI)Tt>n$R%fwWb4=bO z)g_wcZd$jT_2Ud$Pd8Z~StQH11{A#SsW+FrXMjg;y}M0(D(quwA>67UpsI=Y`QAGZ zV?J`9p;KoIt|=akjh%c=HWl80j986AVj8wK&(IN@84K~A5t$-mWP2ml{LLQFt3`4v zPLknt+0@=L7n^6nQ*t@P#%?8Zm6alkJu=rrx_4Z6D80jMwS#9EvYrv%O@p26OKK|p zEybSP({L>e+TldMgI@lhju29rqWmJi(kxa@(d$o8O|-CmIm!-hQ&+$g;{6y^HxsnO zr07s1_r!7DszTk4-F8=JkBIjT^&6un2KE*YKXIbcHcfO0uP|n1?h0EK|@e&@mzBDRJ5cy&~U|nJ3nL zdcwoR3-Ywn)9wk~a93#CApb;*(KWc>#Z;mj`%)8CI-K)@&Wb?WR!eKHg$@cpi z+L-3>PYc0UAWT?G`0=lGGu41n{E>&VTV0vrIiQY4v>9NB-Z41N)wik4okxu1% z7#w^%8K>$oR`~WW(xMKj#QRi7yI{(WqjM2QZdb_tTpZ^NU`kw3u1{4hF=)H6lJ%7G zU5E0KocmLeyDU?G)~-QtNB4`8-lfnC&P|Ub)jaP*^50d-awJm?nKSS^UXa``&=1)M z^eXKymO+u>YRuoNqM}R13*li^QMN0Nsiv;oMSOJWAj|B?0jo`2!$H}IylH3MRSE~Q zbqKLTPw&I6zt)Kpg~>m^?8g>N&=FJlr?lO#8{X|YU{@;fCG;bVaK(V4-L7_g+i(#> znO&mQfP>UosoO&g6bcu2XCw<%NGZx#iIVhi0T7u3vE%wkarfiB#k_x)>#?^2!|3Jr zgW*EH?AHnp{$N`Q^4$+GKej{HZnCxXh@KCU*Ra#1FjLX~1ezEQ$CB0KT>c4dyxEuQ z7c@Bh##|ezI{pafeFjzI1Aiy9ii742_v2ae=)?Y~xn9aOGQ2V}-WKLAW7_vZB?uFnT^(csT=u!&<%0?nh@ffM) zW8X;UEc^@8qb8eI!B@b%CdDczASZ{4S`i#*D`t`xS*^Qp$hU8>j!_P~1sa$6De{ll zj)Xk8lV~SE8_zSXO&qZ%F7y$ZOxHE}d*@$eY!NO4eO`Pe!BN`R-oFAj4$qKm)tydz zLxd7-#Ua#6)$i)Jzl^y!XNnQo&4M$NcwLI!w;PGoFXgOh*+ZP>Y1P4&-H`#?$=c`h z;LN^qEmV>i=)Smhk|fqKF36NHU5Ikqcr9?W>62Uc6?!(P`b2W1vRZxAGQp}!9#S#n zqSiiDQ$A=G8%cJ&vvN>1Bgx?ncY3PRkPG+zN7YJ6D`MY9Lw14RzxL^PQfLG|ysmzm z89o;!clU!NA;GGq2Why&aAF-7*3H``xL+arQKerTpX*+81 z16cZ{(mJqDtTap*a%=)K3}cL$(7|UANdYl;YblXNljHTU1Ej#jcRpfEv6&ToeXG+Xz?@ z#T6UnbYq_YW}6&YJ?%eQE=#;>WV+SKGakiFCDBi&bL%#5S*byfh^pKPdhb6A9wbv$MZ{!tn zA3Q7iX-=`0OwounGVJV$yd{4If}`qZb)roIX{l*-2p$qQ@uN3kI44Pg*T z#j`3fVFzGtUu$2@(K3gmg!Ocp>!wnw9!u~z-Ht;NZ|g#;+7^L)<(?vT(&+ef7^i`C z3|dbs9yFnF#U%Sy#1ax|XQz3hE`fuabx`2bH=-7vu-mpKRIb~tVNt>_5|vZ*@}KAc z#ayBFWb1v*uU0bRrs0BQSs;sWL^%ATic$jIPr`uaDxFyy-JT~ELvd?QS&3AFi1~Dn z#peRu8(rO=rgKD%)6kD(DIqeDq1b>S=`HtFBEm}h{79cM%+V#hSOp=RC&2b^;^Y3d zv^RB-SLgCgizQ`ON^tr^z83p#_yiqp&-2tJvqf_q(RW*_!Q1nmSK(a8rGAZ|>`LES z$mQtrgH|D+&Jh6ptuon=63Q`<=7!~8GLCcUu|^u*t48R5FAqD%NE|zo$c5l)N_rY# zizJsss1vdb-EfZZUVr$b2nw;0wcVphTxe^FGY~q9ba1@e%LU5v_emkm3N4!9$|SRC z;Ayi_%@}QibDmN0$^}0IKBhUbkbZ7x2w<958y!&QY3So_^dhFb?soNM7UOm(6gO^- ziWHqIh}c8@vwZ#PK*6z43ytT`k!wz={%~P9mZu~O^5e!JS+UxoSb2!{qa;3Aj{}4h zkqW}69K;u$KaXnQRDUojo?e#WHkH)%c*Y}gGFYtS7VDYl34q$rrIsLo10N3Et#Im7 z+kkn3smUw|-=;(N5K09N2F<+`bQJ7Vf(wl-=j4Me#Un-n5|sr1t+(@Cm?ODVC1o)d z27U_$`9I?VtPQK|^9eLwC% z-B?JB18FsNb?Q0!(9^i-*M%kdRiU$4y!NL~{fu%9OIKexjrDaq@W^M?nbxCT?ZGBSWGlIqjDua zG?7fXS{r>K(z!c!0kl*t#K6@9;hQ02*LhbiyQyk~y{bHF*t8Z|$i!j{agvp5Y>^#M znN^BI!g;urt{aRN7DCi^N34>fdwEub1-+`nHOG8nGt#^#ZVQO7*^cfu4&N4WEv^R~ zp=y(x#o43#rl*gGHf`@lW=Z=ry%{5vQ}Pm2^ggGQDmueQ#%=meiMUn_+09kv@V+=p zjKE9YL33dt#(j^1B$!T0%ED<%rFw+<+mk4wsP<6~l#WrjEMMKdndV@9KT=;`o*9z6 zY|JdhS=+f!iK_ign77rs>G&6{*m|6@VG6!>ocm%^DWSZS7@B@FrQz>%PI~6*hT(!j zH=dd!_Kt{zyzeDH%YjE1B_hi6MUTVq57}l}$^?in^sT6(He+=1vTn|Rbv0DH8|g>D zMp%yNtx{%uYGYk$JC05DaHU!y>qxsui)XGEJW9zjgouQ0*wJkml9g=V5R-S{I9(~^ z?!G&103J3?ui+z?E%ICy78HaJUydg%_#N6^2%=~$*QL+SDNF{y-dv&ekD`^PQxJ7QvKXq*${(gWwHBd}TJH(I zr4hWc@zPCJe`Q7ER8TPNW4QJlu-RYEBfytNaJ3ddQ<&p;ahBc$dk*0ND!D_0v~R{< zDLCgYhodbN6wqIKNEH-a>CY(ey7!d_Ub=Guyrss(r{T<=bMak_kpoON6|KZYC_=sn z_S~RVh(vCG-q&m@_qkO;o^b2Dj5Z&dp7i}bcqAgqmZR?AF7vdLp3&f9)jR!%fpq?eu|A#vL)#+*Fk`jLTCh z@*z8_&gGhiTU^)5QVKn75Um@taySK*VjVR|(92KlVL6Bq_u$c`&))V@ZoI71(66cM z_mWsL>2DV!uP0KrP(a1e)r_o*BMjihj%R}K;I0#YRUfOT8Auicm7 zg_&5@y(>c6ws-kH|B%g`j)V@kt~u)y*jI6?l2$)fX`upuF1vv;Zf|w7w}4-OF;-vEuSlO4M0p?8!+eO5eQhkb}Nf6=>0f}s) zxGAE-i``4|Az)LuYAWgS9TZS=YOO$5ub&q?o4mxkuqSGxn&yG&x!gxxX#(Pl-ux=M z9FcF%`_N?ijyOfXP2kM;If9y^bT3k+L9AMSf(u1R`I;4lT=1}C6VTeZ4#)mpIzxTf z6l|ck$(u^;qm*vb@YS`L^_RE|4{Ava87uyqe#vg>j=&9Z`A#EpflVsYr>xhZ#u!FT z(~^PU8Qb}u86+!>zY;@gq2{8^9sREVVPPgKKHongm`bBs)|si^ko0Mb zU8#mMg<|Rail+9U87!(UTOt&sM2j9bZFouH(#V)|65buQPkh%8p$zEEaDHUYB=K1v z-med;j_WV$pq%ngUGJX1rIB2|c5_eT2%f9o46PKaW))@;MQhP>pwH3^T>TNtvF6K_ zQtzWIgG|>;nr^k^MOn$$;F>F$*j~GHlsR(DA8DF0LMOQlzYtn%I9~UKfpwNCaxtMH zq=cW&^?U2=wqiQC^$T41RKdv!iqX$lz58H&X2E@msb5kRm(mRv1B~rgMf<^Kvt9~N z)MV%B6+Ys63}c(2PLLTpwzO7#==AHvUm!x>{jWG^DWnpIlXpZ3W?U?ZiHAk!m*20* z4vcQVNU-pzk9dLHtH?`3t1Guc2hZWJe3eniND76G=T?e+h%JF`PU zK9Ur9<1Jt=IhgPW+(u0rBVoRB_;2SlQ@HRz>I0vDRU@OiFDlyPbbKCZ;NUU#fLK#< zd$yUaPYo3(dd5fd8caX-;MGplN;~g8LTnCj^Mu9eA@sbBOenJV^^*kk72IZjDzbFR zAc?cgg}IE#lWtfJ#H4tyW8R@BWTGdR!VAyn=EM!b*zFpLSif+Qr5a&E_Dz>2jmPG3 z%XEs?G31g}BMQEy{|95|uq}!bCCFpjwr%Sk+qP}nwr$(CZQHhuezWdD*IJeH{Q;R7 zJ7Rs{!M4FIAKJq1ode}Elu{ar>ygSs6TSW&M+*NIL6mya)p@LIZ!e1)ZHSJcW|lai z@N1Be}HBRSf8y|4h9Az&^j%S*}agPLxwV1BV;Z*X?W9FBy#}=poUUFbET8~cPXl1 zFOy^+0mpTS63X&;F2p<589FSenN0QZO7=AMplbmNp1pZbU~n4b3}R*Xc~}PZhTOpv z8HnUg(<3xo0IEp{dU#?eR5E;-0kHD$opuE>sAG77;jY!Vw_|LDGtxwly}5l*W-IWW z$pHK-2+_3w!tMAO!*tD*tf{c)HBNjbMGyTyER{>ZOC012(m>i=nT`=zff&$6Ww4~z z9uYaBTUgLQ9nX6ExP6lz?`c+zUIP;d}FYdJ%gT$e#CY! zHfuFBHGIL@yW?=X1uEIgXyxOiR1;>2qU=yPz~tD0w!0=&daN=o^lHdo z_Q)Yg`Md5aJPp<&T4ICG$XCca9dN68M8jpo7DKOMX(d)A*{36<(86BIe6C^Sm2{*E zW+5!|+Jn7ihIrfMPU+QIitJr>PIi@`6h)GeBB@Su$aKys<92x=_m znH7XxKiYEV@oK!LC-5WPGH?EESvz*nKx+_$xwBZzdbT3x>y8?#9Wrb^psjbMT%sdl z-Td*u!L!klL7k8Zqez#@hMUm|U??R)pQ7WG6FD;b4`oxlOmI)6%KW-boEfC`#^7<9 z=-qjCMkh_Wonor4WA6T1?dD>x9SD@_{1DKpO@UQbG-1@<=aGA!Kd z!xJFIl915Gi3HoxOGifXO&X>uD%^w(vjx`4oTjNRT_2c{QQ?0PGT#UmdO!vsd#fUw zhEnZ?KFKTy{qSa?LTIc-y=)dcfy@uh%sHiav#Y`>M-AQNGXduDUDQI!t1xso|URXhgrNnGI139(L>NH6ALH}gc1j%CZZyt6r00m zHwMdd8}|X!|3R)FJ$Dw;-&R7;*-SCJ?u?dvdMI78usMW?M69P%c=M?K)i|;#&7VV4 zg|yyp?GLht3At^CsSDLsswV`5f^g@)C}>P>cdBaraaALX&gRJsK`iPd1hAG`5eY}x z17cYwmE^|f8cK~IE30OkIk%XyL3DKWr&vtsZ8VSUvQX4+hj5!$IidI-gigqX5V182 zJzlr1@fFw2w)e9=%F6JlCbhJ4aOEf{6yZ}3I8RgD2S4rFA*J7pTBn(_TrH=o?D5wI zs+3Weol8V0qQK~}5oen=EscfPw}80zWbd=ms4R7Bxp0|dgC#?@T?bPi37$0=|9Mi#PVU!bWhF_k(Oo`1uB?@z{@3i35)E4b*q zvDeXD-R#_j`)&Uz<`;i9c@6+G2^(G=KkKJUWZO zR*}9S_*jv9CX<_V)gbU+vq@5EPrp~OCwDFmc@NHayHaa84XFm$2TC#R*LfE;OI452 zi#y4SiA$$?x9Z#=cc(UJwhNtkrgU|sxp9kIM4>L?n&#a9`@vn4u9tBuXQW)_$_pXM zsBVCkHQ1c(AOI5PTWTntfdf(OQu>c8x2oAQquPncj+xTW)KXDd~&xU_IeMgtP<@>M{rC{5Krd=%F1gPPGiR)wNYy*8au7t0NBWTry3 z>Cd?&JoRxQ#vP}Lth*8ab}3ULDi7#01;b9-R;637{)qCk%-kc6p#2VMGqv=cJ>`uS zm_KaY`wlb9n$ncUP)a5TBA(ra0PT{v5^76CiV9{A)99XYBmAiGW2RVS8mZ|D?iD@S{$2$Z$Jo6)0V0 zXUyY?ep)Hks8i1Fy<%uT8`4wUg`k#0c({lF-42vFawRO zXXk0fLvLz^?wKB}l&bWV^<654UnFq=u6YJi>h4M0<4=`71-nn^v!WqF;kwpyxZKpH z(mgU>W7onolDnP0)}G7wRZ&{EAgNKLsPwe7(`4LA63|E~e%DJW965`@LF^ZPnwxXCrytF!pM!dhA?1FnxfA31_G9>*jq8 z2xso1{zggZ(-DqF{$&Bmx0^~TjEpal^baFqNeDBb@NYY%|>;Ejs!NTM{mzO1^}Qf${m)uwBcK&xK@enz){G(KUnxbtO4Z5ZAxz04A};11jw zeJA_T08DsF8}L@1Sdn1MkpMi=Zku^kVpQEYMtuEuU)<=xgEi+gO@zJ!zDEI56^$&4 zRde5ipPBb*bsXSfe=g?k?I~TFm=V`EE0!>9AWn zUD+MrK3a@Am7{etg17O>#EB$0ld4N9KtjYV^Jhh?H|=qVBNJ8FhhIUtvKa=3d}b)RYmEs>AKPV!^PB>7LrHTgEB zyK$(YVQe?bu}S7>^7)X6$^)lvi{+IhjF23hFtk8pc!<}HehxWkCRH^Rak5mD zxAvTlhJgF~g*I^><2C*F`PDlC;dF90scFR+)yaMG({kB0DRQ)y*BC<2ow;@7f23K5YB0kf z-WIJn|JDTa{>#D2?z@JXGqM%5PUxpBBA{+&JP5Pe77?`Ex7lGizV3#F81Gjx$D_Mp zSu6rNyjvXnSLL4CDE|S72hrhjtgz%oc}wX{jTtFI9`dUDpbd+~rzzJo9DzX(Yfv30 z9^t4YBs+>bTt0__Q||~k^Ghm)ES0deiuc_Mw`QWLZ;gJia;`mz+ma zk$=AdG(k`GM|6}F!Vvv84$s{D1_rKF9Y5haRNi?C#fyqq@smM*NBk<@+pI9h`>NGX zjZh<6PYW;r-aSp`UD#-+*tJxCn}9xCl6?F*-VTO#(6f8O?KJ06LzAAEav zalXz>rM86SX*=L#JYF#7@(Rv+T+anj62t(FjvmRvP+c6!>z<=EdJ#4~yO7?Gd$0Ah z#C}NzhXg(?5{rF+_Pi^GU?)KUCOZY&cj-q4KSllm`ksCYRf6Z1AaQ8)2U77CHDy=o zvJ!O&^4Vv?B7rk$_BGra_N_188#6kbDQoYJNPuwD?9I=@QIfG{{=YL*ud%99$ERD+ z15s47br9Zy(aP#~wi4tkYMN zZZEK~CA!upFwn#gK~hro-I7LoM%{dW5#BboX*uZAne*CXzwLbCLjpP&aIOE zy>%*X2s$rX?dvW;xf9?s+3?zxAj99za?zco%o)xBg%*PtzaMKzVMVHQLP}Ld&iJd+ zg&A6o*XaPUC}()UP*D^SANI)oX6%HSuC?qfOK?BJe4~nCH~sR9!Hl*B+dijAJFKstITpy9~=Inx^Hp zJDpgnwgPP}FMlr&!66lu8YcBTWe0wtj5>!+VZhw=JX+&K651v}x3;54itaJ^qW5BvUF6b{R;RO&-XYYEke=U8$q`sJcU>2``4s!o2 zasMoJ|0vl0f5U%r1nVLI1fb4s4FD8P04V*j1Q1LuBFD5yEJV58u7l7B_ z-`&!F#lXY30(5Mr0%HD5^D9`#_l<>|^LY7?Y;AxYom6Fa%>4-n(B0xe_t{PSq2>Xf(OJ=qE&WqlV2|a($krEEfX{(|x-qV8 zrvJspr=hTmLB~Vyo4ELwb|VR_KpwxF)i34&O8fV*f%nf2{TUZg6M<(%4-815m*vMN^YgBLkRUICLYJ#{=@60Ph60xehR;2lQ)(0~rsm0`{ke z`8xz>bZc;M45=5ezV>r6{?R!#$tuC6B^iK&BM?)Ac)a^9w$>InrT@Ae`CL2LqQ#>hHceSoNJ&aE z`i^?slZAw=C+`o-NCNKvk3R;}H#<56zVGFE|8c`*&7aZp`KDIeT|k0)*SU7ZxB0yQ64Vu)eTfVDj`>F~^s?t8&Yc-V>nn#3&JGW7ehBm|=*#(yJ`8(r;D@OM z9e;*@30B|85vZf52tc3x1CXkZe!K@hGX<-!@@?~p`~ak$^7qdhKsBWg5ue;&<;iY% z4ql)258L5Sl->#Id+RX^yK1D5fZHGSnf_gI`cf|*y5I7L{(UidrjG#Lf8|y0zC@y{ zk8n)Nz$-r}V}#%8shh^;&kOm__O->4K zE|gQ(+~XIzm&E-C@J|Zi)RvBpKJvpTQE&MX|9fl)2FN3DIsx5u;53l1m6gzjUFA?1 zZ<^ak(4O3a-4kcp2y`^O_GeLv3>z|2BO@v@&jjsr-6YzETZJUsu2Jo5)~D5K; zNSx&K%fLZ_Ni|>MZMgvGf4)?uN(MC=ivdDIO1faloD-hsux!J(p}2KE)5f|HINHy? z>V>lH!#GYb3rp_PMD9y>aAws$kY!ZO`zv`4$g&bn?z0nm+#S?t@UP3(U;6|&U11KqwT<_VysXL>}m6_tQc+Hi-~ zMR8c!uuU^C9724!(H`xzTkGHI*ad91+((lVTa|_wtG?59Y3GIuf%eN`fp5rs!fg?C zdMszc3vz16GvC5C)QE7x#s~C22_EhP79zs#xs=hert1cRuhy?HY#vTj|EiVhUD**> z0_W{ZrT)Dp0eE&1QWu%wy0^l!#Rrs+E`^bx%IB%uXR~?(^Ag*;DZuwOv=tvR&2rW(0w1|@ zF$($Sn#mMsVq}Q}yUoFGT|$2PFSl9E2;k0d6}T;DJa-VmoHf4-slY0NK>{X137|w(=X+i|p=W>q) z=k?*Me;xZ1?BIxK^@%!~VCw@rR*%e~bjkNL<&_R6mtZi(*|Etj#6(PcQDwUohb5Ho zTOIvIv9;9>?jL87PW|e=wd*+rDa(q^iK*du%(XTZfChUE3mAx|?eU=*f&sk^B(3Fk z%aMERM|Zt5LGoG2z^5(~W6@(w&tqL6Esh&z(^%=SC29{%=7Rp8?W#I;-UUA) z17mf&aZ*tN{C*Q|3&SO2kGzbOCkmf$wOyMiVLbt26i-p4%#h#(8v2Zu~2)#+iwlzKX3E#!Br5NyJEY4z`M)R zS^{@npg*W&+1kDG#ir44f1!V-KaH&m9I!0lceQ9CA)(KP1paH5nG>!@AQc847c#m@ zWY$}40U99S0Ck=U+z?0fw2eQun)cb;AUVmN_M+BKPbyVS3})vE3VNl_p6>Kj-=#|RahYSx@uSm+~VHfIXd`|(&RxI#Jo0(Pm5lED-5#=m`Erl9H&lC zTTXIkXhxO(4Z&xx%|9i*RNTo{r~y>94;G#^o6ix=o5!Xa4x!MB73KENvr8yPt@(KJ)o0`&eRDy{0 zr8FvtE^6fYZIX_X+qN63wMRzR>c~{)R2}pReX=RrtA2T6P}QcoN{efZ@7AuvC22Ms zlc#K!QPf1dMrz3NLbYpqB`9kP_D>cJy4)?7R7TMGIJSOeq+&eB952Ty3*d`*81BCQ z!I49BW}<;YoD-woG2;L!q8D3T!n-p8)KsV}6TuRVdo3FymqY669|fS`f3nbf z(i3qi#?f1FUl4zq>N~`8FA?ZzUxa~);shSClyX}jY7#Omy}tGsaw3g}YDyoMT{9DI z%_0fL&eZ`ASK+wJIeOVJPOZtEJsOJO-d+mIW=p+h8^fF=cf-2xGdRkx_W2S7>DHVTC;|O_sk{U2NgTR%m#f^d9QB(`OSE# zNLEY(5siKbu%g18d8m08dQXjI(3^^$D?GQGnNna*g}7lp-pyglBKITztRn&6_++8O z_-!RRF+1heRw6wZOs4JEV;7H5+R|zZ>)iU6KU6O(?hJ#d1p{h=M|{g;?L*#x&J5F5s{{SEY7Jz>ewN&1 zm&D$-$;rji^lg+)aChb~)oA#2ub8`TOUiE4Qr7I<&3yh)@f9IZV`+*fjwW^O_Sy_L zEngkjk*LZ*C4Ujz5{HBNrU-t#M?r!qV`?uVRm*K=eV%0;g=nZCw&!9v&nrk?YLs|r z8xMAj`Xmu2g29LcC@;-QPyEm5!ccT1=gW<3XAZ4T6K5Q!&mJZg%^@`J1hu5^PjREB zs0>kIE;^bGD4C@8mMDNq|$k%1mIcRA^R(Jtw%hf6DC5s-voQVOL%rq^PS|0OI%F1=CQdrn0h#(BdX z?n0;WGa1lwDT7e9F8w?lkRwZSWv_15D(Yzw;#RyfXlsuhCuObB0`Bv>9)Nex4Ba-8iHq@d$8W_L9n&iKK3> z12)4Ef2{j|w#qLVOa}9*Ai3Z~^MAh9zZYk!g>3EBkDQ9lqaM-qCJ9R$@%)Nz3wP_! zKOYN&=6{4h(u|fDCH`g;5ThRfi1dZFY4$^^opzQs7$q6Vjfmb@i2YJz&>{5q{S6sM zcdX3K>RBjWkIgmWH6v;q@Ey^wK7l{GreMyniF=zaJ+K=h{MRLv+b~OgXAq7S@?N>B zj{{Q}YfaH&;?SJ3K{l6G?oZMej47$)4mVNM@g4Zq3IlNBcC}|cy5%0eU)W(?_qV+W zvTsVFAe(?Xd(zFU7wcIId;GuzX11uOyRl2d@(k?dv)i@u?=QWD#HOV~bC)d?J7Pvn z$w=KJ9oy|!OPgi88r0zonaSQ7I0KD?jW|m*Sfs_Ev_qaYFd#5E)TSN71W%RoRgWUCuc$2t~6=wSe)q5*;xOWpG{aMd^{0fSjuQ>v;V1zuws<(81>x_zAL`PaRJf# zEx)gI?p8OELYjgMd+3z1DG-3ejmQ?qG`CZ*aV~Kct$+0NwZByg&kM3W<$J30Jb`^+ zvQmy@t7 zgqG9MNr5Jrr)0oS3(6uhQ4Zl{r>v>-%n5=eHB+Yl7N#1(#65D8eK9uUndK)&B(SLyzA{RdHqR}`u z6<-Oev22%51C{*8$)PE8n^&7trr@ECgLes*ER$aOhJ#zl`LoCWVu;ib%+=IoXF?5< zyAv>{T;5?j2cCH&on~#_EzS4(_71`Y3V{jG0@MXl@HHpueCNMrU}I4KKuI+XIIKUH z{`C-B=VhK9ViUR2B+UpBuj-FVf>;&HsU zw~f74wlf_^|9+asLXxKF@=B)r8xoycvNug;C%E*B2j&Yn2qh*IZVP!SZ;jP#JSY9bn7*LBLQU=4_S36oF!%gq zm59?FdNO7;;D;-nLyquDG+F2jMrsg|jNK(gjv0Urd3Uw9V2R-M1J6F3Thqr?)E{jy?UPzLs#}s?WbkCMO9+S0Q4z07_)Fq@0oEg-j zyF$0&b0*s|AGBREKB5Y)wSK|%aLeIkAq@$eXzN}Gp~qm>Db~+79((kza>0)8l~p#U ztsKj|v?cK8IG>?YM6L9h-dJLVs`7a`VIrO0f>o3hsv|ljw|TCHeOA_DC}U}ebwXB` z?(H)XNJ7%IRa07sAxh#9#~%4HzIFp}`1mee>}`>2gXE=?W>4r|TZVmNfGkK{6YlJ{ z$?_(d=%wI7Z@l#~A8{QRQ|z`wVbMFSaw?f#Pl)cKS+CAHw)-oju0EeJCoJg}Y|zad za?%(LrbEn$w6J28kOMv_6Ar^t6rkCy_x`;XGNw=}Qv>h3N&a@9&|^VRbzx`MsM>Bv zb2&>oThtWe!M0`4kNWBoLuSa7Cuux%Yu04PQ&IT^hPY_);7^5ZoG01&D?BRj`Y)8= zohGHD*sbCf?J9>oo!htFfhwaa)zeR+J$<0uMLe= zhE$;-&^_m$CO))%RLC@xLUy*c6_#3ArFM(6ip)@WnQVu;GH(SBGLN7BPh`)6711~? zcEh1k@(3fRX%#7aHmIIE`UO~CZ0tG&%-~fkW9~pH)oQB?-?Zg`=Ql+NN0?QLi#qs2 zI}KhoCFvr>`K8!vOUW2;Yc(JGGPOpya36e_s_?h~a@X1S@2k3!i2t1uA6*UVweJE} zVe2{7&uerj=F9O95l1H@fsGtVBDhVJ-FzM&tOP6Ihtx%WF8CX}YGeYeUe_}c7XlzE z^>5{18k|OQ>5K50wHT(f!N7z(vy7rOE2A_p0 z>sW_LYWp|;Zt?D466=g)iFzQsCd;T67rjA}wDhdrC@62SBH1l#lbg*9xN&FhG;}9U zCGd$YsiLo9N#cCTl>Z@zv94!3L-y=!6a7K`ZUlQN3nU;{zfmx+OnEzr=0QuDRLAuy z+*myU<|}X!z)k(oM3-2)+{-K?j-SoQk21n}9#X1{GGsy$%{X(hm#uhH!{65!WM;YM zdLEU7M7`dURR(I_CZ)3DBkCES3BA+g);j$#kg%qZz-O8id%<_Vjb32mNyar46~7Is zjBlBnypuFM5Qq{op>>)RML@^t)4avkML9St&#g}AB1wfpe?XEpU%cVQvB>kf{$2v? zmVCP{qhi4j)rN*Gl?#8^bXoNuwv9K8zVpF!T{!7pvHcS^ndzlNGkPolY4)xvzcomn z_l`eUxU=M`QYz}c17Jh2&97+}w)V>PnW4MfpNnwKKg;eMrv7Y+e{FXrgxhY*pC;;d zq3*ThehUyJ&@(&1DHEdefZu=(Jei|9?MPXtep`jdk>6ymp^a?bqcoq^aTbynvPjIM z>R@5Dto7Hgg9a0tHM=Y%q(+CVaB>Vb9?>Sw&*qXYLwIUl_`W%R1>J2Vxt$EuXiDF+ zeJZ29t@kXIsFUIPY?(A~?SKNoxe3Z2R#7B=fM?^ZBue`L|4G!WfqGP#8YLe?wP#*ycOhl&qD~k(8HQSv$<81k8E} zpcUe`0uNwJ;G4Kon;ZXST%zgmQUr#os90MdC7u{4^Nq_@x)IzTuV=D$8V13j`ykc(PUE=`GSu4$IrAu!EY zYD6_>q$+Y=yJ#W!X%~Mc+-uI0A$ha~)dQ%){cuAVC)J)SD`G_vn2ym{q$@WZJ-nsW>x6%~2q&^dkg>YQhu?;zC12X258}S)&sq zE;Qn15l-x!OP%FQwnnf4p!-{QptBl8nUEA)wCCxe!!N(HpgNs}Is$4-@tkmO-1`lf z$Qda*`C)?UkN@i`ZyC46Kr?M62Gh0B(KuWFt_~qEPn}x1)%!-Oa@g(tz;yO)g|pW%J(~*gV6D8QxtygsmyPf>5KGPr#Hw3WbwqpK~UXGTiH$) z9gBCk1ZWKb8U|BjPUbovE7u~=Vlss&tb`TeGwY|r2Qmyb6M{*v*v_99EPOor^D4p zhNT$E;1mO9@Xvesi7?40bbF7v3G7lP$#Xnkf%D#?o4hSl%7}L%<$60? zdmwo&l~Pvkimd9CW0Dvf(;tH#5MpgLLqsT3*rN)e)PXAlWOUx>Uq9oMKX`^_-c zFBaMu!6ztED(8M;V5e?ESB6WCHmyVBZqZUS3e6yy=6&)eg?{2cbR=Jds+mUK()2p| z!T)5Lx`MCWdnEV8nJ~%+(~P~oo1~?nHnF5ngGY$7|KkuDDMQ~QF~YrhGPdUZ%bT73 zzdkvpW%fM2Zjw25Jx6m5qI$p%Hd>&!=kUtRe62-t+8A}B zYn7RQ>`oA)Xt0;eh3_G0J|`RFnIeK;InRtDCi&<3>IkE9+1;%}s!CV0S$f9lzN8oC zX*%tto{N@`Chj^kahvdVd{@MUGP3I5*@Y(&Of}!3+f*ZI1SXyKc60MXPqtv(P5p2s z;t&lbea4j6Q#@aQm8deuiIs9{U@dua96WX_%{UVT2pt|QvW~V*)9u#3WkG+mfx&=E z9mPDMd^t-4HhqB~Y%``*se&o@5P(O;HmSjRl1weu0_*<4 z^qu6VaQ$+ksa}h(Bw*8=ZcfhyeZDm6-c0t`V=Ly2Tjd`|4w{yTW}#I;v%v{9ay>A(=pzCjU$#+T`7(6FKDFDE9M<+#~^Sl zMy$H3gn79j_|`OfAATl^c^&o{mwAocncAp#eUfJyriG(xowi-vtd0Fk35wg&4^Luz zLCiPwj%zb7!kH{)M4iWJ@b=t3{13`T{4L*e+WFnt)?oJ1NpW~Jpn|xtX9skc zWCrkCVGwqS398yM)J8?`0Mpz?e0qDPGYE%;$_b)bEfYm+$wT^_lATWNA*Ab__Ei=q zHf3V+iYjvq^TrCMeQcYs`1CL4>5`n9>{;gLxK!ogF45vzzavZYV|In259j>)z6k@% zC-czTgzJ)SjsDr-6`sv>j;i-5r@fAxTOga@#f|=Ov%T7ONLP6r$?DLSMGzpI@8Q63F?rRMGvkKLf` zbUXHw+K9nw*Lh^qkrQj6fmeu(A25&T3QP^Ak->z#F)oDDnntu{sBkGxwA9(x=<;dM z0!`n(P#@i;olI;Y)8vX&1npl)HF+_EhXBrK7uS6nN1?knzvn6XK1h=D`kKR9|d_i>4u zM5Fqcc+@(nd%dpS`3|$Pn_Lc&FjNvEy-zHG+f zD&rVg6x{Xx;CA?<=v8TjjAFGXy=d(4kc;@6eiT& z@@vLQ4(YW$DNZg1)|v>ZGH|&$ZJbaWXeD+ToY5cR#(5#Ow=I7`B#iB2%)cI?=xa(P zb2IHB*1|otxNOqXM7&U2@Fir-UswlP1}`_PT93&5llGM13jk^=sui8MXb%KKKVwMV z#!0@O+DMZ+wl2qHpy)Kvr2M0@aOKai`;&6X=Va>0qFmFXbxHN}$qOtvH}J-EU8RqOAd0aN& z?(rct4$DH^$t1?-wOTD|d<{_%Rmw6%CA;|p}=gw$m$KqZ1EVu|)k zw<+OKlY{)6GuLvm-^IlWsH!|qkzc5C2^IM;I7kUM6++%2-o5SKxTZMj4@*9gA4XJAQO5UB`G%O zwuAgLm*k?J5F=fE@UWj*0MbFw_+tAg(*3MwKSOj9esM!)e{KlH!SpRo-jq4tP9Ivj zARgppqesLLTWxn~TfsNF#%IrPT1NNN4Ha9>+g-F+QS9zkK<{LmcXsf22fl>;){9_7N#BaRxBbA(?Rn$Naq86}1c{lu2;UM8vsX1RG= zwxEmp3W6_L0|ygv+`227{Q9?RMEMPZiG6p(9NmI6$6rPpie%^W46;4xRy7~5!|WaM zKq)>?VABz$go+y_1Nk%p3W{i;wwSMh7bBPKN`;7n&~W~Vr8yTr9h+|lDV0L^*7fdv z-&@Q?Upj-B*~4cKeXja|Zq!P>lJ=KEkGgmADB>;K!g+JR)(Vk82QLxM&&_jec1+F% zjA2fuGLR}elFQTi5+~_jwy4BFr!4}G)j-3m8nJnT&Wf581aP@4E4siY1R0A(4n< z6{#SI>-G$<$HvWGV1#!1+vrZ}O==6oKu0vftJ0ZVhd2GFF^JaG}(hXw2Gb9J=vk{GzLaZVjmHsN}J$ z-rtFa`ulYdRuFb{hkAio2=QuSaln?)5cK6gXuIdC>U5R|4HA zp|kQ>+xE0@fEJ$Z(G8Nzl^<7~egA^T&IL~?5r^!g#~4#xqrX|KS}UIgZS=VMmW32- zmW26SFdM*cy*1fYH1mYcYkgeNX0`cR##2Yelx7%u4%Rt3xRiGvTRKxBZ>^|(cw1zd z!Vfmpa@DU{GY*H|EWUjydVY7ly~y7`;n4Y2BW+yi0K?6O3V31n$%}{=xv~l0JiCpi zDAj~T7s;g%6j>ygh-~CT3+wnu#@kceNk$WD3;iBsQTAD^jYMV>+CZQ)W2_Epfm`cw zk%`NAXjDQ9Zu_mdn}Ordqm-sO?kU6J(j&L+zVOmyY3@Gl#K)*ve;g(aFjsB2H|%?V zrO7L$@>(|nj>v2opyPjX+@RsEanzydpg%vF)uMkY-Q?!lkd)jJlTe8xOkjhYJ z#0MnsbNEtI1W-Xb9f2m!R(=%E)#O6u!VlcP$mOCf*{Z=0psh!pKcC-QO-QW^O^&aR zUKAKbrpJ38yfS;}uiujhHqzC1db=fldii5dMSN2tWtJUoe%+1&H%y z{&!Oq^lhF-_OP&>T|^Sp)~kw)A6KV2N}LgLRXJ5uQS1cy&IYT93(xvfEFKr~PI0J& zDcuSpo1r7Zs3A@J&Ox%8%JiLOP)Qetgk&*>&BvHJ?0{9KlC*9|GEj{rsu)inqACHv zmTE8ZZD48fO%k$u88=4Wg}8`nBAh)WCC7p*F4>lAI2qQAQJyrWCI@XiXr}#nP#~SZ zuVi^y-z1Bh-)SeNHj?|~{J2G`C#vDFOJ@L=xuK$o>223Rvxg#OYt7Q$Vs1KIk1WQ6 zP>~Y0)$6e@fi-`T$nuZgzQ4!2t@-7m3PY(ne}DI}TDwxFG91d$TT&doMm!Y}?{>#* zjGfsun-wVo$OR#Owx$eVH+#gELt;f_#%Sn zf~1XRcqV?_+T&eYu~ky8QWvpXscQv?Rg^el*mBfEe2S$Qv=L}Y3{IcI_8vttQr1iA zoEiuGPkz-Bi5kbYkJEO+n-SjOEJG)$Z(kHs*E?Dd+|@B1tK-vfZW~`UcE@b+o;~&Gh$Fxk?GY z%>j#muu0-rlqgZVx@-uKlS8LFmz1f{R@kZX1Lf^5Kh|va>>vHcwaM4ZG&fT2zea)h z(w3<6qkbWnQi2_B_J1Rv?60UGiOIT_8H2uY7cTeIFdR`Tn;javeG@wu5e zHv>)YV3Td=rCaHJ6x=vNuVppzF{>x15u}~rQ^X^gNLMSuPJ>m14vkW$(SiTtoHNLZ zR~XqZctJJ4iVcawcO9sH7Vp8g@^{GO)JP=#A6D$hs;AiP4mmiClyaBlgf%y=%^>lIAc<=&Qw0HW` z_5W<*CSE@rvJox;nihT{8^I>S;{*qF!|GNSad_#uYbRXiXixa%P41Pp-taMOvlJIp zsto(+QtR&)O)woYvv7JFX3R3(SE89^YtU*JoQWMsv-nV&q-ThoVNub2q^ON0s_T)* z+quN$yahfvrG;Fv1gBwsu#mcrAzxJ=UJHQyL<#C+h>v*%=9o4|kt|ptK;xk5Y4F&_ zu@VcOX=)vRbvay=7-9-17pSo&UlCug zZcV|DtVWw1MC_X_xghpQR_+(TN~|8gqRYh@G1IoRlF+Mxx}5@60z?hD?V1o8Y4K{X zQ%%ct&biRwaI4A@wgW5I>hK+F95@gS`U+hZU2wSZblP*4hvFb$?1bFcb$PTG`HYY0 zAPjvk=bWVETgFetX0oh=6$7r&+Qx{GNswb(^$182>${5V>IJpSIV?4O+T{?XV6z2a@Mq#7p z_}?xH6UYA=N@rzYX8n&UiVCRu;&msOfT1K2Y>Z+?G%aFW+zlL#Q5}I*T{PG^5}-w# z4RH|&C?F!Suz(KL!c5fdZ}u(MX~#^vi_Ye)d(LP1YxnJL+xjyM=$~u(7J3yF zBq|70pmBg(^S_mWB7XRBWe5<&Kzk>wg8JF|zVCorr1Z>S{(=)szjmTeq>{RRAWK``oyU?4yde*6o*fC}aqd5l9i2H;DmK$dxN^e}#(a1+DO(RO}D z_TE1pAP@ZR{`wXc68?JU{32%Pn1I3f{u>C?*e6k!5W(z#unO`ZFqhAT838LJ$X0h=TbzNA940xDeFX<^Y3zb2s!{d$Y;@oCs!XxywNSTl_@qK#yGdVGW}m z{B!j9Gy6e)199lu5m*awAz%j`z_82BejT**N49k+rxLMA~)e1TX{Vr!fP3lY225pcby+$5${yh75kWj}%06^yD{N-9f+FH^9Ub zz~_&tCb9e*>%ZEAGyhtv=;3zGf#p=c{d?Mez20#2)biNGBove+fI;m*208L=ce7xk zy0mqA0(Ww3HsE}CXi3m>xUFDQ@CNXM-vD0p2(IV|kuHJ%6qMIKJ{kaYm?k0qdVZ}m zU?9l1PR<$F#$W5h8@%W{5X}I)CtzR!KE7Y~h7pD-xL~J;53HZdh~VU8*lFsf_us0o z+`I&&3FI>(awssUh_FCE{kSj?d8F69*I7;vgrQsxe&5pyqHBe=sNKf{xQp8K?cX@R z(^x?_|6l5ozySp`u%q|Pb5(qM1e90MAK%AswTWNR$6S>kxsqQ`LKQZ$Qa$^eUB6$% zPf#ZTT{XSZ%|g^HMrz{PrUz_DN{CVQ%@KUC6g+-ADOKW-(1R-ds{7=-^^iH zo;G0719aRTk+51Zsb||GWpbDb4*ZW(ICU&+{AQ2^E~4q`Hk|(61r``28C^J*1?RcwDBgKQzd#u$IBASN=p{y?nXTSX({i`Mt~-po@f(f^fQQh>*;DCJHLo2 z?y5L?c6Pb1wAen-=S%2*y~22>e!iV z~AxE=@ga`^Y#^qF_^Ux&Tt&kZ<}er_JA+`L=Gge&B0 zl1>d9(nQij_!pmTphJ4P2=GG0XQjVzB0WeZqLv@oVmtvn9@e`1^ZZ;S`XgCK<;7{^w9_nZS~XGeDj~|c>ORes9r(~%lqIXYVp@>@sTa5BqPj~QW!7L!ZNg{>iU{xisvd(J(js$H*<5t zkuqA2vD)kNpPczqStwiiveTMr3%!B1+&r|;*HF*SKO3sIp7UEg_y%sXNK%{UNrnC3 znla=P#A$SGGyG};X`?}IYxvGrH+f?_nmvqvkB5Vdcx_Sk>8~wb9Y+ZPORD(Ghl^X5 zXOzTwV*~Vjq8%v#>)LF~M6C3S!;EX;b7xsY=4xgED@WqKUz~i)jYj$jlroOgjotW( z6S#+-ObV(SU2*~ZmBCz#<-^o4t^20>t|@N~Sc3^^D_A)ix$gfe^?UN8ejfof#aKjQ z61(R_*=u+QhgJ6akyTVj5-~+}6h*vdop%`%5>`({)FrKr9jyC&4NL$zzF16ZC@w}r zCh2r{ecGi9uG5S#;H1CE%;2oAGi^W|)KhfcuQ6BOK3cCIEeL1K_;(lKT0%!*iRMaR zO64@%lv$M{GQ85O+{u-jT*n8Tw7k3mF5;%nA_9;`3w%7ai>bIG?NoE=o*NN9b5RV^ z7jxChfIZ~GJyPc#7^I<)L;^Zlcl{e9eirUaCQwF==9V~U8zch@1s{MHchVfXz0jZy z@Q~3_tfxL60+a#+#zp%=YN>76ROhU4`S#p3d)7>W?m4Y#?E$@|v-v3+*Hw8MsUfbQ zS+-kgs(qPy7G$U@kz?le57Bi`JOVCoL+~m2iuMwtvs2pwrIQwQIq^1@>Meemrf2i8 zS}A{N_i5srOfOn^PTX%Eot}2)I`!byWtkGRti3o}x|v_ZqC5J_EO;i$9s?^keB3p;!yh#ap(x zh7bSTiL!Obzt1UGrT;L)>i84S8KJf(mHZ)?G7DMW9uW5R{J?J#d&hhfd5KpccL^ioY-AxMvxvBmt*gsEhtnmA6^s#-113gjGcQv?5Sxy0#)x7!Ka$xtFe6X74if(k_WtNyJE=l1tF=Ig(We} zZM2ot;mKLRuO^)R5+%NT9(m{Q_@JUm!+0-|(80EK?JWYidIWc}g0q}J*Tmdx8M6&f zI{jV1w*sbImQz9h5|fq*pLo;Dgm@?NluZW*>Wm@d=LnRBKO+C?KpPO7)4y3Wc`umx zTB}wr){0e{LmR5digZ7e396;phWbHkK91r%%%*JI({ZkZVu+GlR`Z@6D!9s&Lp>mH zpxS{|4luv^m3Z$5Yvv6cCwSTwP#sU|n5?9E=x`PqZzf?jr5jqN3GS7i4V7%oZeC<5 z3o3GNuB5N?z~lMTExL1>XI~2G3TG6bM)fzr@wBBsNidWV{?#3{`FdlHOfMH;hZ6<< zMhCOL9k51^QoiKAV3iZ+pwu&Hi|U97Wws@QWcb9U{x2!^LR65k56u{A*r5%@wm{b$ zj{bi1w>@oKWgf&|Re4sY#H*G!-knRKO9y)FP_QP4@P8ZuIT~j0ppU0D4peldJ=+bjbuhc&I;CR$`d2zT!ugh3DL~q zG=oDR*2}YkYQNc7j&r`SrDco`ml3EcZu6LH>>Be%4Q)Q;_1pcx?WJya7PkN zIj(Y%W>}1}P)jQN-Nac3L{|=5?gx=OuVkYAS#+SSCRu8gOqPq+%KJ(x$2P~OWTuBk zogWZ4v5ttxE$F4>%Tsu3%QtyAFp9mlCY_QezeCg7AnHqYFKK=ThvGYsOAU>hpPjJJDuVnZ9!bPMBpteWH;$I zmQwxT)h<2(ZY`lbWMy1mJLOuhD&e2nD>h<*^nq|oH&swudE{v4#cQ8_-ew9}lx5O| z#X;wLA=j7=5hHY^xJ?J8h1yuNU%i9a_uraUW72TSfE8^FEKO#pz1)s$M zBSk`5*re2{ft(_7DU4Qn6-NyIR;M3pzZ=-u5IT7BzZ-j%Z!qD#TUeR=d;3cZ!R;qN z+S2PExPG{u?g(Y7It(3jK$&w#LvnPh>1?h0f(>LQt;-JEkl#Dxz)OBzM0D}&C_Qh z@Fr?!Vud#nSC7_BWvbck?k%SOD)xTC0S0nJ^IKFi7VLK<*m-XoEdMd8Cg04fK%ja0 z#XIpeeO1dWDb0~6r_9FTQ*I6hcu5T2w=2jgz}*&DQrQbtZPYaE>eW4Kt*by7jyXx` zB})%p)~|)s7@L1v){v@t!`xaVYBTZELCrcRwPAy=_B^~WJcqe$lCc=U07Kr^`g>q8 zh>pGLh)4r#pHys(sA10{U56!HpY?mE-7$8>Kq;O8DpJc&Gfj?@*{FoLcJ1?OjK7pN z7t<$~6=FA)!$E?@ze242S$EOtdL|9n?R8oW{HW_2M*Bvd?~VjTAkaTjfg zg2yg_?=qUw*vH|WYTNAr`As+rtW3UCj;*lckO+|Xm8WZO&h<2$xWXOYECze@AjQgs z-1+P^#m~g*g$x(^E?zi(YEs+KW3IYF$$9o2hLH13qX`TT$oAS;Jm&Q?-r?6I{j%n?0vY(E(o1_4?>Eh%&8`ZbM%YrdoQcd@J#%HC z;|#tr5|~3{jc=*=&XJfJjQxF(B$qBUKG!O8)2bfrKyH@-*9xDe*R?&GD90V^Q6yLLMj+G-Jm~y{F!Nz&f{NzMP(moLe6mW9 zqIeo>cw|1mFEP8Sv{@ty?4i6U6a9))i>b*uET{G(xqJ20OfndhK!-S@Qc6)y_zw+7 z0uDCvZXYoED9(;d5eoGap2vy6KylpBk1|&9Vm?xWiL8JB?4fH|c#Jy;;(*?b!g@a7 zLZi+$bbu5R){G!!N@I_|J>;zgj1V{0zVktC^h}y(rg+BL>@XwPanITCif+3L?9I3j zul)Vk4nXgm~W_X*)qfrWrBN`CtW(m2X7Tkn5P3cl^ zy9n>Mcp#L5Rj5L(9Eoe4_smn(=wi-snxqdn)zp)WAnQYSJ)*90O=JC@8y$SV-(v89 z8D~jdRoGlr>qhg*RQ7wIj)WhAYQVni^Xg=%r^b9pvejjH$`7|9G`vj_DLti49{NFMNN_?R%+<2xCV(D z2Jmu(66NKFSEVrHv9b;xY`?I{PC&k=o0KqY$x5-BHKmK{GH^uiL8_HkRZhXC-ZKe@ zX^6hLR1G^k?@*J9xK+c!`M~hThIwPw%dX!j^WRIe4w2T=OsR3rPd32!=GmjoBic~U zn%GRJn2=gW2estCHK;1|swwfP$V4_BwpbWWRPS$H!&EDd?}CgK)d(MX*;hktCTcdL zJhz*y{;T7tFZR+aA+KXhhWS_lR$t|bTPV59#0Xs+nTc8X?rzu!Xi4Y#?r+$ossR@0 zkXmy-Q6D*WCa3vg^Dm35Y&W5@;zhYm3!fsw5|>74$0OBC%5b=$nbnxCX?h!fJ>Yqx zjlz=Mxu!QNm2?nQ>vdT?;;O`~=o`1tN%}}d55tyER_n4&Y;;qvavjlCo%a~En_L~F z6neJwJ`BakqrKWdZ_m~Fhc3nB`Mfl_V~Nte1CCcPo4X$bZ}v?ESTz{FSq^_H6N+S@ zmjXOg#ZDWqzgg013)w=GO?qLjc|?L#I+J}w;19nMxDR09_KjO@cgPB&at1$HH5=B2 z>DzTELF>Mr!ily0P3gzNFBphon~C0QU@Zl7A#q5)B477+{OQ6fpX7do*XU*sNr4(o zV|4N2VxX~p4=x5Oq0>Z_L8j9Z?p4-tlL2)-NDx+dKUi%YMG2z5SXWL35tB*NxTo5l z67X|2I8@0}oV1+|wt->!w5G}InMcj?Dy;ul zDqYaLHxft_bJ_9J=GU0$f=cqU?7FamkT&tI7T0FxT|Y5=XJL=@xEXLF8g~%!rjKJ1 zthZA+XS8uODzND9oHyMD`_wCx`clgo^7GFPC(oL}rd?5{>U7tQNqz3KYG68&c1i6YUrV~)$dfya_FV^ zIJs30Pt{(DQ!U)gZ-vQK$W>N)nGKSCHyi`X+FbHaIs=+fO*y1!)wNdU)}4k4`!cGT z@d9I!K$=COiXpjWKF6ne|4Y^;x0+Kk1=zEM?nkcQMLq8Mm-(1mHJeA!c(xv|r>zg0 zy3B|g%41!k4uTtXvEvbLp3>$7aC>FDuFJ%f09{|KUjiFn4>>$Vl2W$;d*qPpd;mHZ zP^af4Esc9D^LPvRXFvK*I+2=1`d%}~ptZ#7+J8l5bBEGXYvkkFn_c${P3jieW3D&P zXxA`jsFA~D-$rgfpgQi`SSe42-0f6)zCPH_XTI@{A6iz;$72-e?z)#_X}mvEXKi)A zzfHCq%)%7HPyQ6)J0!7n6cf-{Ftjhe$~+A1e5c`OyJryov=PS?k-oMzz|)jO*q+6k zCQ&tFHGqs3odntw4TR`!qAH5)ygtzkQV zLSwzUrOlH`Rr9acO0mdH__nE*<21y$G)$yTug06ZJOB0^oOIXx1^FA>RIj8i zKSJcB@&Zl_${Q}SGa$5xd9x|MuQGcsiRCAS72R`ECtkc_{S%a~6pb2UHcL+tOsI5M; z2~Dna@pwQ5Mgv0}ckEOqk^zdDg&W+$>$2dRcbrS062oTw?oc8zBD-UT!aw}YV+P<$ zBp1K_g}*X9=HKm8J8JsQj6hP@$y7lp zpI?Q+Vt=EJLj2A{(~A&CqXvbb)#$Voe!sG5RqmPy@T!jiE)XrCYIW*w3lXH^0i&lz zCqf@{mHq2}iMeu8uqd;dTKYW5&ZcF8>V7hU#sOJ|9`mtoo~g|}*MsOdoqO#PMiGcW zpTkZ!T`g$^&EzUi|Cn`dqa1JEJAQf`iLg|6x4be2{cUlPJh}?AU;pHkdRYm#03yW z*B-|X78AxJy1_O_Is$6;Fc0R?f|!sz5$*eY=PCPxZ!HX`Ur>wu&Cve?6te!eppcQ_ ze}h71diwugRAyyl`Ol!x2~;`h_Jwx4JjsvV&k1&WdmD$b4}geX2nL@-+*OjCaDh-< zif93Lfq-H=zYqTz?=b7}H`{Zy!*yD7*UR(P?AGE$m5CE@%Jujj?{=ac^kce++h(`o)@_;Ua7XTVuKTa5^mmwonzxH^(a+dtF^T zJUraEN;3GVL4}NL=sjS6F2JY$9DR7(I-b4NJ^<@Ds<&BVZnr4_A+oSjyk5X5z#HHP z0N^+{v@jg>i}0ztfQ>*NfU!Y9Fv|=895(tVc=bnkKj^zx8vrkEuV30%wof$zh$mOZ zu^G6N3$TC>!GAGf@Gxlfyuzw+U|*cfq$Fs-rfLS5V+X; zP_H2T557w|7hql9jEGWi0o|eM00`Sh!2y0gzCWj-BY?sh+qm)Vlk7UmDW znC^Rx9vtL7)Jy{4en9ahE<<>J7} z-$vo@l|#5eH!lVETx5O8A4hGUq%3I>$kowKAm5*@1xx|`fBy(wOwM4uf8Pl|Jjg*D zg`;47y<+;V>lbDHtcM~k!I}O_xqb-_0K|oYkDkT^FexBTlb8ekjayz3yru0o`j!_zpCGQ}!aC|-#$8(quUDx%;#q-QpdBCCFE%?%2~# z8d5W?A!=scYq%8mUL9Tqb|lX;16LHIJ6;R*!$=iO{p+=y|Dh~9{lu>X@w3(t=GM2c)xJ4U8x zMLNexs`v;RH&A`%_IhL!>>jO`{7S$poZ|ZGi#+v2U~s3G(82i+{f(&wVLn1$;{)K? zD^A^>Qgx_KbSHcDZvf5GQ5%1VZ@vQ!D8q~v^aBD9 zInOcazn>3M&c%1}!$zvDuSGXp)USmZ$va*Z(^hk`b>OQnyy%@^{AR4cGer-w`@YgM z^XN&Ht|eg^In9yH6{d(#Lpho|7iAsGE^%OGX66q22t{5pu7BYoT|@P{xICPgwnl(g zW4_F9dCYQU0j_J6@a1$~i63@#8Y+aI6Gp;hG*j8~uLMiBPxlvbaj)r0Ghjt(0wQUz zs?>#@YuAbU6M2TV>p@MARv__|IB4fa?e5*xivpe61DksXjryg*k;2*7T@tulteCy| zrZF>;p=rcOWCbq;PP=^E?DDfpiL51*p}|H62L|p`_E8PO7e}}Ao{+m@%1+88R1)ev zBJWKcv;LhqL51@1y#N_Cj$fj`>7p@fXQC~P+Kvt$H<8W4dY8$5bRk=;4DpIVGGP&H zRH~}Ocio7^`9D+BPhtKhqlMc1&4|3-T{_k9F<{>q^dCO(zH>t~FWWk`Wq6|4(=A&4 zb7mtR#WWSRo2yoBqAgM_l5`Y^f3XTj>XkVQX}*|I6j0<8r3aJJ;eEFr%)#V0uiw&9 zc7PM>cIgj4MhrFdq|FAV?}|slqfEZUA(InBIy1R$s4fUO2a_gPM4-(vqlCS~r ztPVPb701Q^!CX{LBXB8Kl`|X~w9?L8=C_ENHjskaO7!^K3^{eOH!^C11*NmdOp&iN z7I^cuZ0-$VT)e#XNChW0A)t(Ypj2s>RkKpgyjGn0!G`rfEZs(QnH(O(uL zGBtu)Ne%;}Q0A>NwT=>^3KvL@&;4?MkkGt2VDH6CE^9v-_23#;AX7~2j=pZDi^<&5 zbJ)OP0umj<=91Bu2IMnjbylq-?Zz{l+4qnOexO|jr@|)%YAe`)K2Eq3j-)(Qpq0pV zRoG-STXVXa;a1Y^UX#e!Rr^{}S?1D;73QF7J3m;ZPmAc?rRB7MaE=`HXXaUT;SbX- za3@+zp>0@~0G+|c6&1=W49vavMBqazrwL!l^N^dBLqfV5xQV)9fQD`jrHps|i>kFK z+I&3=o1<<4X4wf|(gG8fq<#($gWcf*DeaZ6`}LtGw!8y@=tCOSCIz7#W$O7Ck5cZq zKg7Y8OXJArkw=hovBkXON1>RQx#Rd0&g=Dfv5W(>vw9zZ;~y0O*moH-7a!(O2*wjxcA}PG5f_vHIpM%j8u8u%p=JOH3f^C+?jW|x7JolS_<5!~H zlWIE!Jv~)Df-UUUj6s*hqxRet(;!)fM&j$tV?Lz8*5`iAp_9W z!<)D=3O1_|Noe|O1Cf<1GyYD1m29J8a9X9iZNO9xe9k~9H?Eb)qlnIijM};9v#({c zI?rBfM*O=@Lh^(&*?PYU1|X7XW50@%0Aau^ zH{tCgZFXytwUWOo_5nH)UxET@6_rfI;P1VpI`tAos8z9*DqH26h(S zMt$~54oPHH*~~P`;>T)OO=Ut&$Lwgs3+;mBt?wLn9i!cti03@$gcR;)tqm{mwERSR zPU$6+LTu72Z+nKlp|unagEaD~xpaWSq4(G?7T0v8;ded3r01!5aLgvd!QO}`e1S8d zLZ7u!I!-L#&w80ss&LtYUS@ZXkEvcD;}vk_4}X=*d?$vTMaE|g~NanQagyvX7HvkiU%6M;JV zhLeiHGU9kaMmWHOoQ!|ofj4+Avft{A3kMGlfIk&D19(MDeao|>7>{?)O|Vv7IZ;4& zLP9fEFmdKW+CYVmQh^?>>QjI@Ulry)!-9o6Haw_LR^}C#ma~_#D+q6)^Z*Xa$BYOj zk*QEa4BY5*#Z2ln{8wU|dqx7b&=MvYWgC0D5zZs9eKOmq6F!$zQqKoif*$hBimr1x z0H757l%pfpt5_`=^H$eW(bRTA*D=cL3J{cJ6lZ1Aa%O=;{SN&f$GHcllG*+S^iSAc zeDMc^(rccJw*R*fb$+u`ys5xP)b#4!ZvpO?ih})qDBCeFAI6ewS%`*Uf`N*LpA>S9 zpy1`n=ZvX50ECGQ8VxorEvvSZvkpb&{k>*gg@Gc431PC`M4aLy)_q>vqZ{3^>>P|{ z>HF7?RE;|Uy<)t$e>OzRNWP6?{^+;c$Dh+{71o!#p-`nHHoCV#gX5Z$Ya8NUC`Xk>cy3_ASWiB*L0e*exQsGV13B3bODa-sVV zoK3-IS%G7340h$)ao{UopN?UA!i+%y2bu^}L`&`k6)>L#v;PEXBt#Uik56xZ2l2<9 zi{I$Kaey57ZJ*wh%7cJLVWi1iG;1q-{yJ`bf%kGe#6;687syOJX-i0*r&APP2^405 zu=ajS!sQ+mZ@omjt%_~eGXdslwx8xP>%<-T9}R)gqb3zY&fl>Qr`0dZ65+slm2}&1 zQE)lM2xrf9$cBVolcLQ99x33kyTs`!zSRS%g9xnvuif@{GwMmO++IKx_;aZRzL zkOzKRK*8;(3OoY~XEh}oQw=}|mOXAk37~^!Z_<-U5L=7@sAV+)7 zMoQ#ZrMF`|u~u_1@x)a*Zk`rMj4tg&s(oop!?|%VDSDH7ZH>Zzdz&RY8cWUH0y@-bA zdIHM|U0Sp=M%7MF$mt;3!>@f+udv7NZ-R8>qg`O4>GAbE{=yTGwu_URz6S`~Vl^b0-(bmM4uqf;?aTWxYf$e(L5je7c>xNIsZ>$Ue2Dr5t=lUu$1hc4x>zhxKgR zEx>z35#?B)oxWj09cI|?qUhyH;jDwtyiSVD6I$99*QCyTg|tVjidY2fh3TjzzK&u| zaZvGkC)w`u_@H3h@y#GjObb>FUH4uSf&6v1Sxe&4b>bt#@5tWFe>R6q5&x^gM;yr2(Jkd`l7UlcDhx#*K5PA*mgm}z@e<7lESz>+k?tt2>v$yb0fIG z$OQ4d<5T}2iI;HfdF?JI^H32)1+GWKhUngF@_|5H7u}Wh;_gJOrjE;#6Idd4CyVmB zf0bRz^mafE{Dmtv*E^n$?$rCGD~g}BU%DdEE>G!B|1{1yrk4RR(9VF`I%5mn6A?c{ zKpAg9zMy=!LP!~mx1Dr7jV`{(*dJ1XABU)#D{~;-xU>Uz6>vIEO2FPm^zk#M>b@ zat!DvdLFcD7;T-26YEL}BcPv|ZoB6RH~Q=@DVm=_4evEhtz>(292&iq3-P9B88vzE zMfzL>%(*O@r3c%XQO<)(LN3>W;{mbcS^^hOyBF(MqIiWAIAY04%Y<&U`9qiJCT`A-8Vr zdSmDcc0snbS_kTi`qEO6b0%)t=7H1gO1nz?xLtcQB2KOMK{d6kyHhC-5)kEmk zz-?8h;8L%hvhPVQaHGzN7GhVDv|9vJrTTO_3m2Kx(GYm*Mmz1}P}cX;({Zokgm0q6 zVO4TUwAX>8O!>eMxar^|kP;j!Av~>oP#0;?Rxa>WullRg0RZ@_H@Bm`c(qwQF*@n8 zWqe#i#V7RoD~*Jz%+a7(d2A@1?h4Uv$grQfdxGICML0(IHlXV^w-ZY0(!W5`yIB>; zu{ON)dEDO;V`VSyE=tvoH-p>WfH_^yKL-06BIi9uE1VmJNjU``H{%T@1QE_J315wi zt0-Or!e3!8KKBBmAQFL8Tt({1>VHfl<)eA7mX8W}CMbCh6!|Uw8Qlgq5htPfu7HfV;Sgzt z^@AYmb^JzhGKK6aZ`b$edDtL*BgN+!$`nI$j#lT3H7w4Njnv9i1G2Mt=1KjbVk;d! ze1+3#p;n^mwt)-4_%~89qANONQchQ+9@_54u()Gh}300jLe!Bqq{gRaxP- z)&@lzQ4Iv&0fC@!JVBv4jmI%AHvEia9f*w)^w3m=S@{}6|6w&DmVTBoO){e$TGHaS zdWpK;x=5fbJ1phk2d{2I$~eLf8=+C4)nxlheQKi14YmIK?1b+u#C;XXrrjjIpQ<1V zL5-Ff$L;Ajlh0W6$<#_~AX(;U@<%J|xB59qeHW%jxWwB|dXawdvne|hh+;5@EGBk$ zKn)7Z3y7qC@ZQcoAZU;S_Nhl}*o8*-R4b<^M^lS1+J7wvwez{9Q= z!5`xwqzH7dRaTh9Wbt|Sv+>c<zkBA6=)3UO9RRBb9m zSXmrqf-OW;yD82hkA|fS9|UDt{~l?K>Zawa1cKP$oLl%YlIBudkuVgqvUjf}oco;8 zg>=b5kmmImQ(b7Blf|wg-<`1-=x=h{Bt4g63h$;Qez|R@_#o^BMq5(HY8B+0)VGpJQ{GMZbB zi54JgmSNNaNYzH+F~xe5+Ae%3X1xiohKNSFAWXN{Kwb_+4(eRd0PE74DJFMhj$`lvhI_T89dqPF)v|JI86kpPsg6 zOi3|{mjZJ(1V%}wg0fs)3ttK@#}Qawvhdf3i*rl2Qf#JFu|n`x?y?D4<#>O3u4LV| z>pBzBCbZkkrCwFke=sj=QVyWTehi$9Ota{U#a=y3VeI!@=cE8l-1!~h>j4J|k4Dmq zm=L;uZ8SFt!&0+qY%eqY-srC^*14kg_nac+pdNzJ0oSx1nhO66CzCpx-O6L6HU9~$ zm^z#fW7Hn}Ltm^txs<~ot(WehPwmb8-XUA$TE_dQ#E-R*JsB&!?}L3%?7}WZRcUUP zxL7AMJI8dBG7J=T7G$>66U1d&Uf(*SMenT%5LRP*I-a1WgFxPOQswFk-;Hy8aQ91p7rClh+qxubcSMWfs8Z1v&rc*E$;V~i7O zI1-+;ZSX4Fb5s`7ho?4(#SE`j3_8;`&imVCf4vf@`7h%3iG!zZ;^~|#FS(RE8ii-D z!}Fo|gOj`><*hf}%jW)jurimIK!$+nK?OMp2E6nu?@1Txf+tSJ`G9=%?KI-j)>@Cr z=Sbp6(=uX#(cy)tEpVv~8B1wfk8rJ8R~h^xTFleQ(Pvi(=aui&jng5u4g;+=>J6rk z=wPdEX9`WQF0nYnQY%;MT5g4fT?2Gui%Rsc!@qTM%Bn8flE|3O%P%^1Yc)ZqGUVqs4ps-$w2D9P~p!}lq<-5OaY)(&4bnpQi%i9>74wbAXb7dzy&k?-V1~!^M%C( z#}si3?(ogs4gcdJ>#X-zMd=?-=K!!_^^cBfPuSsBWAmJJkbByeurPpqo3DlkoDm;L zUHOb#LZH`Xf$j=;_%U7WY>h{gK^!;ojXw(JjveHDru&qS;5t zQ(pjNd$j+{WMuy@0VO*N2mAjZNd|ldW;T}p`C`OpW8q-?k0#?kK)Iy#%1R-Q?!?3_ z?iz74M}h-1NZ*IRG&C2WC@JY0=oiE+PP9!UE-4|wCjKqfecS!}>9ec3+iF_9n`QQo zP&U4D%<@V*Wo%?Eq}V}2AixRPJviKl0U9qaB?SR+bAM@bb9=E%OLNKx@f^`H!6o7j zt%E{^hJVuqR55`B@oyaQLlDcs!U2to1F#?rfF1a4 zA;L6(n-BKOLkv9XQK*wxAwY;R*x39_htb9bLZfZ1YbHbk@4<A$@yp{SRh-QK+?fiA&xZ5 z*J=d;gg;J9I884I4Zt3VpSzEBt9RkjjZ@Hv%QrI~=gp0400&TYj1-?&o(kdtesmM` z2n-NEONW4W=XdkoHfV4Xx-KXH5db=j1tsKB&ZP*$@EM$lZWrSMkp4u#G8V1x@$&Wc z0#s2q#V)P;l<#Txb+WoTub{Mg^r!T&*PD^i4&IN=K~9!e02hER7l4i*z5VXp6;%e| zsg~012T~J|Rk1qIZ(zV_|Z@csOSXBz{wynROlq|j6YaR6A_8)NYMW>dj?Ff(7q zPmxy({e7V%;2#r+3(+7No*Jj>8z#CNg>wcJ z)OoFN_BB^S)765B$7@`1odM@^M*0bmyb61%Xy>8*ODKa9GP!JLX2MapTcma-V-FHT z>LfzQxX-dpLcG8Osyjk>l0-JjbG@)Q=V#}AG<(U~z-Pkd=P!7aEkf+^u;;%XVco>j zi6gGI8ETt#DT138Il@GOd8NrB582>(@^pCRE*Vq1X&+;q40L_?@H(mIT2^91ycw`> zw%a(}8ZLf9+I#R%wR2f(@et76`(?^Ut?lQi#H<;8>PPS9p%1RLv5b-1zuVybv*cU9 zCYLm8MT)hsL@7RKMv=5_iMt`3sX$NN+JA#B`|8dU&wsit(+9wgx8wLAoOmh<>k9=^3IF`2`5L=S z<@&kalGQJYlh)jyk!Ex<2z*wGoL-x9wD=9Ue#_0ZG{uNwp4OdW9K(;lJfJ@C3U~c5 zPdV;Tz9~SJk~`BvmPCQKyrpc|XmZEkK(B6y_e=gi#?Gln7$#b?ZQHhO+qP}ncK6%1 zZQHhO+qOC1&15bnCpq;GDs{1wr`BFiC7i(p`>ATGr=l!Bvgi|q02WrETF7Hayy|-k zuHGzmTg^nBmfhlG^X5x8@9|RO?lfc+IB64bPas*7;q*4gVx%v=X?4B6#XTCT)Wyi@ z^IUbmC!&!sO3BQrQ%c$%@oNSiSWN*)fOnjJ`tf4!ht`%&8lv`Ly{^@?Bh2HOg5?Oh zoi5;m5YY??-zh82@uBZ9D9Hr*_Cx>)6550ny~dR=*pRNCi-$6y$_5(19sFAF?r^lf zvT;Lk_MT@ZHQK;Q>=cH{a+~%_l!x-! zAw*}7_pJ5DgrPO6vJS?gz4xxIn;UDt7IEGUV3z-`L)d(ztybncN*MfGDx}JF1R2#N zqr!q*7_T>as4IUV6WiggD-kVSra59ehZ;FjhQ@heCTQq zGZH+}#+|Y8G0E}M0}49n&9>w9@Nl#QsvG>2o$*s47OP+Xtn~b>2FpFfONC8QoqrW* zN@P133FF#XK}A#EAv@k;x^(n3VJ+6I5h={m!O7%qhBG?hOM9lPqG$-eM=L-|ILCz+ z%OQAPS;&&Wi`M+oC3E^kh8O#`XpJ*twBv7-nohGCZcn&|U;9R=Hnn18`yPSrtMN0; z@GeH)trX`2x!naVPF9xzysZ0*P2J2ryKP%ewB!&Le{I@AvCI!=8RV23L-zYK6}?=z z_(1Dzps+XRZ+WH|*c`~)5aYRj$To|myYpVN*RV}Hw{=ObAqt348in_*LL1XM0skyr zPRly-wP?5!n}VK7BebS-v;#GqNy$8KqZL>+#fpwOtoTT}&LbWYBjxD+Wq$i0vvBR{ znvAfn1*OzZHZ{j!8ylp)51}|rpcd334G<&~iAu~-PBEl*C*{dVs}#N}=FEX0kq-sw z{3j9Lj7!{y7{F58lhr5x<;#De6&L_#`Las7Sp7Vh=?*{1mWDxlV$NEdlT8BMkh-^Q zR@`GS9!eEdVlV_!ppMpA)-=A)yn!i*_unX=&oR?Ks?(?afAxzxOloeQL4}qRJ zR73x3s)AcWOUfy(rSi^2idv;kbfv~tFVifjb_(2>MPSnItZS}n+98>UyY1VKPlAxY z5TdY5xP6%|ZN)tX$(O`DOU74j;WC!o*EfbSTUiNkX_UD%)v4LS*nY~botX2l zBt?rV3Z6N!g9H8~po~Sy!64EoD26f1B-I}~3b!jtU47Nyk5ygBQdj%7iKZKsSTawv zN+_NnWUvQIEcB#^?y#tPCl7&J`$2Nhl!Nk?2NB|mXtOl(E)-AYiBD8 zB~Hi6-fbu!U&}fg>}pVE3b_?sLpV$x-Vm4L_tUkAt;=rts~NZ@{EX6`nd??-1m5!Q z$X?*XHReajm(H!70uVzDu!JdGB$G-(Dc%9~-=}nafd4j#+#bh*GiaO05??d?k+4iK zph$l;#yae(G=0Qpwpn?+bC2Z138@jAPn0eg)k^{KUt{hNj5jxLtfYH}RhyGX}G z&==%4k{T-oZkFgmB+dfLfkc1***Q6bzs4rm5Q8$L_ zM!d4=3_VC0A9rTEaqte3QnbYRU2@=5TjD|LQrv_dH|G6EaEm6QnEXSaptEd?V@kq} zlhk(jkR9nZeGi8P*~x~i0Ev^N0ztEki(f%GDy?l6w4O@s<-MpDkZ;VeeZ@HrxAO9n zdG9&>a>7#$Y&j8uS>T4s;e417yKuWh7uA`NA}<@-gMO(xSDzxI?HsO_h=Tnud3Ht4 z8<*A_n=Q}!h;Skgb6G+xN=78LqVY8;l2_a6`omHy%1&o+qmj!XCYm&C&JM)aV%mC+ z$I$2EU(~0&^lirp5~VCD5k{(Z;hj));@jQAuWuG#z-klw<}*DJ&Tr#S5CcxJ=kZG7 zy9vFPwaH=$mRaBsOrZ1D?F)#OlxJfF%e3>=0Y58-jJ()fK6qlC7{KE>szCV(Jdg1f z&zM~6UK3tejxF}`yK2tej||O)vDsKssGEwBTGWJ!jG*uG%(KvU=AWwPIq60#hkbLJ zDZe(|R=`zRKkH8p-!z9`__;R(^3J4`RMzo9Cu48g)FC!5dbh-yKz!(2DZM z!lt-J>BNS@^w#0FE~_^CVNT;X2=Q(e_V5uy69OBhss#FKX7Gd1`hj?sfQW5nv5sps zF~{_T)%v@pt#bRgcbGBud}H2PL$nWjLr2!Cz*Xd1kV8%*t)bnrlhku{c_O5QS->0; zrY(+sPHWS|UCc86uT1AN`1%b&z*>_Um@B>Rf1SBpMbcBH9Y@%}MQ<80K77+4FdUjBGjpFEb3^&gI?lMNhd z-^*KhiYr+eY2$W#-G}g`EQ5*2E>PRmB2JapD(jjPWTtr2(ET`sGtrd`4RJE5Cg#jO zQ*?~EO5ME9)m9HtNU5>;`HN3>a*u4^l?yllddk1|6sA*Yl+2F7=x~8pttJ;$T!y{5 zR2vOlb1wL#FwH;em`MYNy5iqt&7T3 z>t6?TW5R@+#pRe-dC>QhoYIoF+?N3UT&Vt@ZJpc8t0d2#OV*$1^s`xYst#f9O7?hU z8W*Kb$5Kv7=^;rUyH_I@Cr(%62vfwS$4u4!;L*@pPGOc)a_&SJyIlrGb@#}$mGz<#fJm%PHAY>kn zg}Pf}zg2&}m#5>LsKg&3kJ8ook$&SUr%0FT)cFQ#qQaO~>EmFTVdNO5i5> zqDWj9tDqFIYGv8E5(^9uP9pa!$j?A>r+2gT`7ij8nm*TCzy~;Q$Hpl zyb_B>s-*S_{(GF?OndE1ZtmK$IwQGBRi~23tKdxuUv?zddNN~%3eZXh=W&CBA!C+9 zsoxc%e+7`V3Rh!1zhIs+F{qCpS)IhOYi7_)fK|rnAd0}tDM#W`+-_~DFec2#RNw!9F%G-jtVVf2T^*pV%AE>oW& zLPa#^)>?C#b@NNfT#U4M#Q&0O9Ilc$AO=_^6UfHSaC4gXXM*7Nm#Se#J3cBT_RLU| zz0oza7uxxFs;;8jr`hR3Ha-KiN6{wj#X@uWxvjB^*cz8c>~w_m;Uw`gnYtpTp4s>^ zZ|OTYV$uZ}CrU9;l2n)n9kngwBYp7od6`4VU{&6CSpv$UCiN(-U_hBMiPR8u6`Qm{ zBOWy$=Au)EwpVzaahuSD59%_{7jn^|GVSBHcKL8WM|mpG)?Ad-T?|jW)FzNM*G<3$ z!N;)8;!*UvElta&=afR%b6cm;<~iWMs_Y795?6puW?rn$*Y~V=7Ahu+M4K??5+E0q zC2lTT_;STyu)toM+SA1y4#Dgtu`4DGTYCw%5gE{^rnX)N$)qm4{GO$rOpC%{v#LBV zRr&D1R4io4g+{GCd3B}X>o!;3_J^;V4qbz=-Mw3mOiv!g$zX!?s>3!`A!FR(U6G;# z$=-IxcSk57nL1pH>G+Av_xPa!%EWcg$RKw`n=H}$Ro_K}c%Kh$V&bAg!53R6OBac# zv_?u{$4I@yLgrBQSn708oH=du{yj=+%YF!?uAy$?^J%q0z5gb*Ub{I8>j(*EyuPfu zw6MW1p_dWO7umaPsck9kFA>(k*=R*(lj<<3^&VYJi;K zVe}GJ({mO*Wz6%F%))n=9zG@;rIDVZpz($~u=|^9m-EjeE9rd^kW-y!GV>ZtC97Qw znsX{e+qZDh^C+LCQy=mfX=OX!ex-|g?vZzaqt^bWC?8vS4jBGg-^ajDq;KpaB|dYd z>FqnUEItw!y3q5J)r+Lc;g(1XA08S^hg#z|FWO2(&M*wp-_et=vf?HedX8 z;%3|Xh7(C3+>b1(K2v3aiCJO;AB!o?!H66z%_YV@E|EEba6eLkEqi|h0BV@rQwpl*EsdT{vku?g6 z-(rLYXA4+eL#wLS%{!Q z6X5bv##IgTXl>K9fwk1S+wN3}d2$|(3+$u|LB=$n84O~T6Crj|BGYQqoilT5v1!xt z3TUQ}2ljA-Ey^(Cr!`|(RY?xSZqb=1tDM$XnDY*JU3ZzG_)}gCo_u>uDnnj@^5l&K zF2=Se$Q5}H70>Y`{<{`MnJ_SoYP5%(*t}T3VKbIH4c$Co)=B&(yze&g%ox_n!$=%W zC;AsaRIS7dv>u(~NOeS5OWx2~cq5(yo)r<_0W>`DfG#;J3e!dCr^pQ@03QDvo0R1P zi^YhDK9v>DnJ*rkI8`TnYQXGn7W71C^}2mpGF`EgcnyZrsOzm>t0khQ#V@1y*i1aQ zln&OL@B+s><0UBLY`6}-j=9f2tYZ*1v^jcySyW6*pM^FL`Pp!CB zGcWw3B_#a8nnkoXsT>im-j=kf9CKShL-sb<3+FXv3#1@!JlWy7`&8@bj+h16KBFYN zSJE`S|LSC2l85?IcpY^yFSxQWnrifGC098qIKeDn`vI}*t zytr*IDi3Sb_?P+KYN8)86JkCFq|=oi+=X2aPUrG=gg_{En^~B7ty`}QlY<}a6N{U! zPhs_|OcWa9NaFqA_I(7Dewb}&jnm31vt`H|sEiK{Z@mq@Lcfj!WmsI+dj-D0)z03J zPVj8m>i%PJmyaqZSMRvZ=P3Wvr%SaYk}y(GWIqFU@Ecn2;z##3FuM4J-bu>%jfW%Q zXPB8(jn+jB@Xty)k>`6Tgvb}TZk%S^1 z=d8%tPx+41-?g%jhv_*NJA@+QGyXe}>)x|>cIwI9G=FVU!TN0v&kYthv%M;!C@6l1 zQVV?T%`wQlVxf0^B}G0uH4KtYiTCDj&TE*s<2XKA=;Ph!b?i>te4`^jK79%v7LOK_C(FZ&bRFyFIfSBc%v6|{;TcODW)&2oO{ zXBV?yiluW17sNpB5`+b&DCo^NI7h%->ZKbcz`Ier4)s&fW==m;t8 zUrZb7orYl|CtPN1n2>?SPh_o_H-1lK9KvzUril|R{F2ocOnz~9L~$QNX=iN$joH-4 zhGItc5m4J$Ri+=*)3_CLElgXcUG>0%u>83kjFXk{t2fz7` zVp~+d!Z{)*h1^o1Vy_7^pZg^m);~y_1uSvvPpVVJv;Lf1SZ1Mq4LFx|bZRzZC)Ns^@TS{Ue;alw#8a+@1#?Q} zi_vBg(@xd>8Hi}_rM`-MUF`nP!>4Xrg!E6yo-ncYi6!djd#^E6Ek%8&1L0C9p^zEZgC#G+9@=AlPf>CK(Mw z+Qv21bAflkyRpaW!3uIHG~;fGGb3`5qhrS1PhwtUhZYyQ@AGqhyQTOb7JUSAO-;(9 zD`w5ZEgwXjdDnt5hV2#T0{kNbmj7BP?PwhOiL?1-0eGo%xGN`m`7$~iH$B*TjJb8p zuL+K?gAVsquBpsUeqS8%nz0w6i*i&e%iu5om zC}Iq`FYxEZ52G&l9%&W z`$OFnw!++wHm;{$u9c#ucBPO)p?cn$&KisY1=C2)yHW29g~_ToV;g8L_qMo&RGew) z%31?&4kpy@th%wy&nC`tRypROh%T`nZa;r&2}{{2qA8c-g*i;h4xaD~Kmmf*L8ylNQt5I49d3FV+ zsIp#~`%aaAE2r+?yh1rVxhNL^wDOi&XnCPhHa|$uFTx-ui8bi(iXR3=RYH+<&E?t{5CPo zV)l)qNYm&{{6T!tb36_&MXYkG9}3UJ?KL4@mrWw2hP+{Zl$)`I#f?Z0_feBf3rM#> z&)BdEw*TP)tB(UAGGy0G#Uzg~`^PBg98XJrd!N#lRo&A8nQ zN3{>IBV$ggw!9WI%}Cot@?DB>M_HxP;cZ7>Q1sw|G%` zOi`Inra^2kDA_ep9kKLr%^f-ah1IvQ(V^V;yYC2i>cy_HA9 z-lOlu=IPFhjZzYA!{?p5Pb!ceI{2e1WFnsyXG}M9KF63gcj9KXi&{Rlgq+~^F)8y^`8~U;2>rrLgZxr zG}u>sR#;#xiHYTZ!$kXd}TOZ?U-AyShN# z-R<)oEw^`qy8b)dAQBLCgdX+z11AX?9n8*mf2wz?>aKY$zIRQp6;_dNQk5`7X0K!d zklx%3z|h3Z^a3(^dYRDu)6=8l)6f(2keTL6DZ#7Y(bIoX1*Zry)O2+lxQ!TP3$ zqx!faRoid^a9)Ks3u_X<{;ziTYx!;l*8A! zJlO(hsrzdzf1E(&vX%feJUlwj{_VgbHi2>k%EsIQ-Hhu<7GIeQ%j;nIR`yUpLA<}z zAgq0)7}xz%!^fwmqZT$-(-wCogc8E=4#0u5fK&qJ`AO9CF!x=C0YMG4_j9uth?D?U zsRU>ICzY?K2JFV<1pBH6z)YZluJK0Cf|9m5WXQqTu;Ed81DLSo6TYng3lO z;pEQ2-}4U+r15KLV|{sfcXeQW7TClbkO6!H05B5CDcZoDfwzBs_PVX0A*Si4s;{An zaeQ?Bcx69sG6oQdXcFLP4eZZqZetnp7{JZU1#IKnF5$vGeT~w;o*B8Rtp#*5FbC0p zjU3JiD6==v&+j5CoVb zy`y8jT@z419AJKDIq|~XgB2cpA73hU?{E#yryJ)Q7vQu`7Qk2Fw0{j>gx=g(odDqa z80h)ov+b}Ckq8>PAI1a4Ic^7woq#ww@;KTr|zTTk$pj{81?+;gW0^?a7 zb^5PeYAa(4SR?(f`qfqDuVVd$9!TM@1&1Zz53bbUZ&HgO;1fUbiqV-NtJkmLn_u|{ zKJAY`>@W7wpZMbsjpV?{_~~EfC;ZQ!xUCIzB9!(vz6`0Fk@CE>x7`OL*74&|~e@sY65Axxi_30rH!^9ujPeePQ z43s~y9UDN>i7tfnS_ z4BKccnc1I+xiKgMC&wQ(05o^N#KnIl91e1+uYXE?rOvvfnCBz_w4>BF?$I>NK0UONa0 zbos4<$JV9cy+^dJSYZl8u|ikE2uw{FY9#_MrB)a^QZ7ZqR7v}ZkQYkl7gf|#i9>{k z3mm&jfNfdP6*o>g2Z|?l8>3*h{>xDks^bJHCwCpfG7eRuUwmAQtzmp3+xVyiM_BFN zVt7zufBo!YB(repRSjwZkLlW%Ude$6rbH2xRH8-P(n%UXsnBGVC<@utP!mL_lJ#y_V0nbW8fQy_RQ{aLl^Sgp(l+3sVa=t{cN zA}wsfDHH%Nv_ya_-rQ)rRWKo2Io0$SvVrd7Ba9gi&z|oNIEF^3A(hq!()M zVz62ywQDoGsN$tsI2Sxs83$0TAM=Nz;e1;DwAe)m&woU0mROGwggV6ndVUo};a@R^ zENa}y@Nq~sty0tz+F8y|gI;0O%s&DsA(dq@m++TEA@agu`VRlKiApxcS=`mw)mPpf zCOi@O#Bi0@9OZ=iD-4+rTS~WlQ`p1ZJ#bN=Upwb&Q&CTzSbn=PCsoR%h%hRc+&|pN zcshfqvX0U<8^>a?4Q6lCFL*@8bG19nca*}uTC(H+NF?C=#U~O1n9BjMKI+<@FYCfF z!&6Lqw||TGp`k}4N+Hs(tPxHd+x*4^hJyqq>!Cmo_K}Pdd=9gCr}=c{A6Fw8hDU zMN}*3!Hd{X|DKR1UDY5KoJXq!i$T6_8!C?rlK0Siv3#FpVI=IL+MpjYbYE*@!Mg_A z9aqI}NOjDX)&PTpZy1(zpx{qZ(T1b+_S)gV*TU;Ciqvh=h`WTB2rdJLfNt`3Da zFaUJRAp08hg~T5ZY#GmJ1a5oKKf0cDLQ>=a4V1uLj2cR^NS4_Z*9+b&_~DKH%`RA5 znjg>p6|#`+hftDcLjYrw(P2<)z8+kJdyg9*Iz+gbitzqn2GTjRc!suha zBJxgoZ>Prj3+Gyz4h(YqzN2jHGC?!us4u-JFTG=3NUH)<#i(liRy(Z;J{x~zYdeem zdK-9)py(5CCx#%Qm8k^t=rq?9$F4%hHBu*M96j-+rQ30SX{g1P@>vE-5=on+Rty>! zKO-Z94$a{d!iIwjCXc?#Oio;-*2dE8R1AY#bS!G0ligH2^uG0!J4N$S;IjpWff{id z%ax`r7E_zxz_Aq^Q|NO47@B0p1#=jR%d1BXv4UbXr-NvM!Eh<1emc6#A3O$|F(*b~OFvkK#<`^HTU#%+t|>YMs+b=( zWyY_|rKXtuW%s16-X-6FEgQZLFL$=J{7P0uL)oo4Jv#EYz(esO@^49gKp_z$bJMdX zf%hr|Nj0}l(i+TI9d0(WZg-owAGr<6@IwwJXT$gSIl4`Y%;2AnevaK+24as+ZxJ*S zUq>pBm>6phkK90`!BYd8=dg_@3ozA-myC2YUr+=Nb85)(G*%t9Wte!7u~&GIf=Sz* z_kLTw9)Im(?8BXN%?lhw*WgE1is61*n~O7J2_s@kZ%-P<7TEQ8&U3rvQt^O^rQ2Or zmp`g}C8yL|c*4@EbCClt=T4$bD{}Lp!(pfe3S`^IIR7To6Fwq76_80_mr6;#RbII= z5T+3u=?KaQjv|})^>u=6)I3J5XRHI$N4W4Lp?C_S;?5@U&-RdJQE(A*vru5@k2L8nli!W&}7G-v1s`!+kKh_Tq?b}Jz8Nu1^2 zL~h@hnla4vv@Xt~>L%CSgW5HyFr#^S)sc{UTo?jlE4heQT_lFf`ay_*(>m*@JRB#u zG^V{p+%RD$GyeV1^f=l~7!1Dhq|myd99F9w&q_+&@U_bU7!rIlR5r{;A_YyA+R#I* z<=`Xy?1Nb0hi2JFyFYD*-r-dxFNxl`)JXlJAa=q#| za87;u(?(`)SQkL>@zwb-&7xmYR)GdJO|KBm-F0rOJxC}fK#RFQ1j(S1$k*B(NTARi$QBBlME^ZN&_o1r>&Uy%#hAI4-^5RXPLZT<;7j?fQ z&-*~>ouC+HOOz$E#|CkJ+PJ{3(P7oCs=VB}MC@*HPu$79GHRao2Yo?xf-}0R!q}{b zJQuP*#*_wRbC`@deMG^QA0f-sH%SQy|C*6CmP(=HQ*pO1-Z*$rHGt+KJZC{*Q>PmH z`%1edT&WTjp>X(uFTQ7GZzOm7>1-NkEE%WX2jMkzGcWu3P*b{v*v$? zE3jr`pokZrk*2$n>7<7<3ePNJYDoT@XQ&uoh7W>#R^WxZC!(AKg2Vu0fr-*-V~(i0 z8+xB-OU6xNP%_m#RlN@i*SPt4SV6^~j!S|~MSl@xCKiAR)f59|H@Be-p8J`XIRto6 zdqP}Tw-_Wkpj&J(g84U}3alpI{2028T*FUzy3_JEHw`LuHAx?EIG!_=YLRU_U90Gh ziGC<#*VvD;dVK{c;HdEhf<97k!;vZ~Ghek~Iu4ZBy4x75TaxVu0rFQP&IF9wZ;&)5 z3=w2Y0z&NlJK`aaFU@q1pdDmaR$X za0#fb^OSj-UeZ#V>B*Ig@uv1>+PZn2E%k{gpEgpxd^^OgvUfBIB?#2i(C9J5;; zDXKtz$EE#(vqZ961w((`{sk30c7W-c9&82W9moVGp4C5+U+utRjIldEvS1n53B(QX z%^tuy1?R@t*x0eCxDupC$@rg@=K~Gt5^9PF>r6o5ly1`~p-0uWPV<`kpye{c#_147 zz8Mzqnyk$?gQ<~%(I%~^0vZpC9cq_yL8@-W{(IXU1`i*!o;GD06hHK`h5X_v0`vtp zAC@={H;JsRdeEIybv(wC8?P^{Q$4aA+e>oE|9tMo;))%{#6cPRFz$5;390@n_D?1C z!c;C*5vSV3#2)e-3R&ixJ5x;7d1rYBmDr~w{Lg%q;L`G^c>6qCC}v37)r9dj0EY&T zU0SS-c9(fwU-o!wHBg_1&Wt0vn4b&gCXI?4>|Jdw^sl;GayYT{H~znmHhVyJD1Z67 zcqT(q(Uq2?&x{}iHq{RXrzog;^>cOjHZbvX6k_OVDV^w%HVY_was4BRVc-3?f;iy&!$E5V(QF}gq_{Hll7b5i<(rjY4$tf-x z@nxwzL|N(XKh>G`TX(Wt{S>oU55VA!BD(w}h`Hq{vSgiY9{q>B{-M&!ao11>l)sD> z{lp~f?6}0(x60=K29UUp5Wmi_b&6=ddq^1PK=$Ynwe2B@&g`nxHo)?G#>W^}xP9;^ z7X`bXqOVPq3(AU?Xp@0JS{)&ntzg-!p6kEN@%tcTV3SqN48l#1Fi>nX3Hh&m)7Bd; zIP9MmbK9FN!RXqVI&3*${(1dyW$`g(UOZn+%NUzmlO>$nW0(}>1{bjR$dDwH<dg06xpE z`QBAkM*5=(nbZ*F6Z1-%4$HLaQ$3-@o*@_${ut=JZ&3Zlm|9Dxx?{x3?I(O%QGPRM zT!F!MG*;x=dPfMt4+~l;E3un&YkVV$oKW(|Q@Q~8oAXwWUDL!J$l9EtweWDh2}+!| zW^7TjCAsmMFepKH5O#r3vs%UlkjDE7o9!3!=sf6^R9rH3wzOA8c7Xga-+>}R?Sj%v z$>a5xpYO+@7K3fM`9-zfaArVjdKYIeXjKuJR7iyGqsF5rct{O@iW&ytz7?0~7($)F z)D3N_EIhmtTbdBC8&ZjH}?uhyf;%5Q0EImnkcO+0E7L#Q!Low3xnPDa8TMxvMajqdpN zl{ZSpfOtP$At;OW7XHrhZxQVwVeT=Cu5c+t-+XN(pY&7{&3DEhPWU%=AITK$dD0L@ z_aEZ?s#ViinEI6j>3v2C)clog|4ukuKuIB=W}|mALrpNKRH)K`xc=#RniAPTQ;!T# zJ~LTtuY)7WncOZtIi8KD65^*W;B$@oNFo3)R(;c^k8_WXH4eR#H&sL%B=OlezQ~W z@#B*`3z)Az#u1N5T9^qHl&pqo*nFZi4~v5pz$&V0|0=p;o)yA-zEMUvZeiJ#+^mU6 z)!MjZJ^Ec%$J`FF4V|cDKf5pGF<cYuI zmgN?0d-9(^dJK=YT68#UNv5reUKuP?+)g;o9Ch;W(<39ecW}FRS+aPJt4aQHV;$$e zO5@`ACY(d7xwP>7WfpXxvbO>@q-Qnr?-oBTkIBLn6xLH8ewYYj+EaKz`SqY*pgqc%xjtCWI>ub>)Wlp4&g3z z>7sMW;&q_18x1HDK^8{xNi*$4VA83pcy+lG=}S>;fqa~BRm`K%xvn% z8{we$Jsglke@<#TTYx^l;Wo^w)GtSCX1*xC%_YL5NLg6tK_chcoS zwQLz9|I&vYC`J9ID$8+rY@_qMO-(B^&BWAJUCisM{Dn6C-HwyyaTqY*r@T>|q`ZTI zSFQ)5eU`7Dm~YOHXPi6Q`F^U**IwULg5kT#A6vC5bwr8~5H6EhMbf)|OETuivS(7c z+kj669TDAkKn7cfV(0{RIt7y<(D=n_w4!z#4w|}u@J&}Im71W^v2@2K-+J(4R>)-9 z3EfY&DouTG!g0UF7P#Wh&%+}f1;H!1dn(o526><_yspqR(sZgSm=4~`f}qy2x5S<7tBYX7u zH8r*kL{BLYV+P!mJ*$02Z_0eiOX^DYIf^;Reh6_W-jvNc`DR}MG?{m(Grnr`$eL1h zbRm|WY!;jptDrZotcgXsdy$4BT)o9x5xnHoVlU^C0x-dq{^If2D%c(DRZ-)&Qc`rC zu5t%ub}KoAIK=(UtjfT)C*#tR2D$&H8*A@~)TN^0cGn!AZ>w ze5I~y)HYdtWP)N!zS7x)|5|Hk8~Xgk%HNm_?Q;_mVzYbWL)x0MZvw$5zihl0-)6G4 z&$Td*%yLZDLzpErt{Env6H|yCZW^wM@$p=iv|z7>yG_zMS=m%G#2L-Oc;6yCRXQ!=i5n!H{*@q*_H`lC zES#f|Xy?NDNo@9Df+9ZN)DfBpvWvogDuaKJU*|t@6VhGN(7KgvgYw**?oV2qP)Gl)D@hk zQE}$EJKqb{Qx3avxBAW)-(f?M8uzq}flpYb!1$CA$&e8b4)>y=2>nut&n9)$hMD28 zKw$_v=ihJU$58Ip=GmL11|SD2`8W%}jpw1$64&6NVC?f{t~rx)GkEg+*Dni@>%Kp!ZXJY=D>ZEf@&Zngl76sk>R|L0 zU#|0nOCvl~`%h{NNk4BJ6}E+o86+FgA$QVC227BtpcZFcS>k<`wVEz_8_!;@$E-YIS?_qd?$t%^5CB>U3s4l|)s|bot5X8W1IZszX}1i->S4`Wf>Nv1#w2wbK1a zZ<1DPTp?YlObi@(#P~%Ml|D@IwxNZ?M8RT z4yC}pwZ1vlfoNsL@Y903ne*#jqo&j$CfkdnTX4c|^9l7j-1l*82HdrMcrzd5TiY5^<`($)dgB-8HStf;=lZ zn#uFLO$HV+hOfAj?G@$uU;9rbAEY>Fk^3HStqh*sN3&jGE_rRP+$Mu|Qx>%BdBHq3 zwbs>ljKh-ML$TG6A!B)QHW@w#?!UebTYpXe)}7jD%yUPBY6-6VA3>{0>YD2Or}YFM zWjx(<5M?3Xu(9MM|2SXowt12&qOP5q@Lpp^m@Cv`BUR%(Oy#15HJ^3ASOyDZfAjzv zAMfD3Yd^6r^d>p`A%{uYlJkj9;3Y5u$Y#n8ih2m;Bo$)2t){D-nLLmqo*Z9>x+qHT z#HJ8UwQ02AOF zM6aVW6fHv2Pm0MBwc|KJ_igm)qbpBIk?YS{LDY3TM%y{K+UKQHg=-S_u`c+OGgjtb zxF$?#F5G9z1CWHWx%OH&6PCCTl&I#si}JSgovg)0#nam&kC3s&%GmbH==LPmVk+5A zVcosOR1mlW`(#P#To&OdqQf5nbeb_P$VP3txYG)R?xoX!eN+jbyv?Tns z`)e%23XIAQ5H9PgDxj4pjN)XbJ;lKJt5e@_`{yGY^J_G>D{B`ga^)N4kday&y!(fo z_qv)dlOURqBXXiN9=X;wMQ70iTNdqYSY!&*ktQ%sAPvyuMVslr}a6URs?@l0Q@`Mq@I=$bCa zcEUMzCC&BVeXE)|u8aqnQfp7nvpjHNdmxUq3|OO-wxZuqts7eCPl065S#AhGRUDDf zsS^T0*yyoIt6;jARUhI%3Hm8u=P1@*W@C~$ucrEB6^PEnMD4@X%c$N7_O>$cxlsRQ zO&F&kj#|cYA=~|ul1smm5FDL~f`?YBKW9fSn50ovuBPalXSQcRaM%5oG<#EC8 zyw7;eR<|O?1`G1ruStb^-SZE8%*9ygV*r0+86$Tys&A(+2iymC@L)lX7*O+ zF-6vTwcgm20w|~p`pIro5qmv zZLXuV)ng8{ai7{EqCu@D7w_M!rnRES!k>(oAfh3BlM=1z);cSgX0 z)B^YUN1=ex}*fs8OcCiTbN?q9mV`hi_@7gHm&Pu*h9;6wwUTN`s5Qm z-4=(OEYF-2WdX6bNkrp_0L7!9!tjbffEW5Tt`QY5GJbQpJ{W7EK6lAY4Aq3e_Oed2 zD#y>U5)gFS-i*0sn6xAfyUv6Q^;Z^;5HDSXA!EFSMt^owf%RfiRjToHS!A_6?2arB zi_x#vyZ61&pYURB+E6b3iLuKr$cw5i>_E3~SCFI8@f2&rD6H@Bq%D}*!LlxNjo_IX zA@NUrg&*d*HdW9T5}_K2VvRa$60_AF@1@?c^9gNH@lcqq6PRoGvx$9GIu6AVD(c-k zkx~nxQTi34Mqw!~n~F7ttsbjX}W;?v*@DhE?rDRCt0rICfisp}3Q4MOK1g(l+0 ztP{Bs>^O_!8w}lF<-1s|C<4%5u(jD%%lD)Ob>C(m+r3QdX?VyayO!~WuNG|ng|n_y zf-zj#__3GjgI+vyDBp6|4}m~kli>1a^mYWF+XC?A1%uawKEr>ZA>t14et}Nc#;aiimEa*6n!hY#Bz)rF{?fXuaZUh0Nt&U%6I7Il$7 zJ&@gVSi&%Xp{2df(EZENo?SzS!N(nr*nFAt%U=N#VbQn~GdgZmda&c3ZU#(Eisd}} zvUhHhRI+FqMkb?5HA2_2)vIAj4Mix6_s%b!itA$@ZdBn^19Nqur)*s>H$~UllFc6;f8qv7JViOA8G9sq}s=?&i1PNg*Qb?`kd4o6vRnQ*UUS| zdg%dx=}K0=8uuMXB|dtUVaP)sy z2H1GCbKL^ychYW9&L*8$7P;rz4)$!sJUvj1+d5qq18nN;E+$GMQOgqH`1~Roc6I3_ zCCd+6{#FG=Y~{dNIe{wv;FqdH{EN+*IJ-ER8rnkrJJ}mqL9wzh{XY>!4mL*S{~#1u zng1iD!_La_f19dW{-t!ZvDswC2`CAHxL6=yge4{1!(AZ%TUIqNPxx=8Z4royfRuoc zV&`8^XNG{1bn(70@0Itg=eK|LwN~>o(|4!!w&P}IvZ8j1*f_Q&h>{4=j>m_f0YgDf zSXdMV0t`A}z`zfHx*BhL2Js~wW55c)S#&TFqR}7YPv;PU9Xpd}#8zxB7!sh0t2@X8 zB)~gf)IDT$;GlpXgT@non1niG0nZ4q9qcjyplTun2GjsmxXX)M=+gmrlT#92*=TIR6hyw7T8Mt#-CnA(1$X}vDhm7pkej$g5t~l!>W?;UsLW4Ry2J8L$puj8y^7Z^l0RXjvJY1Y-@w(_1$H$P4p#XLu zaSoI)fgO(y;u^!cf$XWkE~>u*wB{Ix@r@t&z;^rky?_saZ$H>K^tbwf`w@Gy2oxw6 z$1s8(!-#DH*d4?$6{Qt$PLEDUU_uD1{V;@a6vwgrBfvoJAsRavU$ZzsDk%$qLUvGJ z)jTN6s5e((K!y8p{Zhx@sHbI9P!QIfCCSJz2Vp>8lk#{sP{F$`JK3*uCb$R^@*%hS z17L9tZSSfft=-J^d_XscaLS3lQ^#T;Z`x+i&cINCq9LFnAb||%1k=z~|X%x`^&-___eD6o5Q-fzw6aTVV#;GnIN{X*&gp8g9d{9 zj~!BowxP{xVcml_zYnJIJAdkRokNHXHYHHL){dNxK*9deiDrWZaP069f5S5TRS=eE z+B(1Sj_6^!H_H9b3IhU&YW->P`salSMpjS{VLLFtVUd779(HUhSf?-9TLb@zC>O8C zKs}V3`RBndpx#)`5CIA5Z|E27Nl2iMdpAtU|M-*kI~}+FfcG@Ee}kidJZydgLjigo z{06`W_PqFmqXRy0?ac$c$2<72!&Uqah5NAoK@9ppzSnmZ+R@du$GXqXW0!sVr?J`` zFwkS5Fz^C`^hL4KN7V9Hq7y!wXy&4b>(2Hv8ku9x_zW4S6*e3(qEviUJ&n;yJapmC zKScf{lhsU5u6dup?>nFTRNV~{=Xph4v%USd*RO+b7)Sb!x5O-)uxix9CX?1n{xaJN zESyakRgb| zbGnbP^N-(IW2)SNb*YQC*Hl-rMD%Kq{3Y$Oz3BEd56EYt#8 z7Bz1Eo&x#w&_Ho~)LPmG2#7}N`oHPLB87nkE>3|m9txdb4h-Ko>T#2psL!q8e1RBV zw;yZ_-`(|RTgyH2bpH98q9dh(THGt*>7{uA8TE?QHsIQH0@S<>nQQ(iOc(h&5UHRl zR@(vQ^meR2klsL&QvwGrLjeZtyyia}FN~px-qSGPxHAfukn*I|@x(Fu0k6B6 zCKKR8;yOd(Y6>JcEYXt}>LTz~c~c~&5&7aCqj|{%u@(JZXyWC`h8xj7ofOK#tpq*$ ztx}I$*-5_-#bgbsEY;!TrRo-S6_>~F)1K!M=F&in9dR2#Di*dV)1EQo&5PoqoH&ne zOlvHq%N9R|Bfb~U`K6(ma~iU9yq5G}q68cyRY%^&T*(W-2{VZ2uy`C4TZA_;>g<;- zOR%N}pxYA380-_L1}OPI+gVpMr$3x%MZLvpDj=exeivw`0&92ckvo)#40SxE(G7QR zZOKep4xa!`H;$in^sp!Gmrrqg5HqD`i0f%bqs_a4>wdPE%-!@lGE*6d?U=0j^g|%Y zr&iQ_e(8A;tJl8{35etgM23vBy1Z|Oqep(jtegndGzv2@QQ9=wgzl{!!jM?aZ?@#> z>Up0w)aVXw}Pt#XT3v&z|LioLEksdh>r@&N~kiwuFoagyjdpNomwF@j$<| zsKzFY+9Z<xR(B1-Yc$6H-X@qC{@%uC%t+eli>_MJabr*bnBklC$BzQU{AX4 zU-diSQb|X?IzMjXP?=DUM0>pZ_s$On<8dPWEy|L;_EO7m{i3>xU$U4|m`vyd)%5am z=SI0Fu2Y2l;t&keNmHg(P?dALZ!_G|BNsQD!=tbHD@KNSwY|X7N#_fx>HO|c%QCn- ze?5G&h^Bo_fP7Vh#cL#BoEGkVuF<_NM_n%G5cO;oTS8OI!N}mz(0+8I2pJZ0t5WgP zxX^U3f#28*`dpRDdXKs5IwuijXlWsD2-1zDL3!}xWKVjzy`loo*jvoyqMl&8Bf6tI zEHi*J8_P*v2E4O(Z!|x-+Y2+DF6kcR&X?O$GJpCN_8`jST^_>riNwStJa`_4%jHld(jra&$u;b`O((bUU_2 zn^vP)KiFCJ_r9YQXIf>`lX7Pb{g-y*+gMhjTYve{XGrNZMjX#|Rb#%y%ryag9SItQ zS+z`OskDjs{g+ddQ;Ge{K-gGcfJK6iNGFX~7>$cimrF$}U*U}s-IL-1?UxQ7_uf@< z!6qHHO;sPzP;>cezUQ!BZ9`iiIy)(_a2rfAGy~@AGNpTO42?~1b6<4S+gWXJns`$_ zF1XR9Lr7xqd7J14z$e{C2&)oG$PxzOAa+}QhHN^e+UVa`8x3^AW8`!~$jD?TVz3Ux z5?8#e^$?a89YSgjx`KgaPr`Sgrx=@ztZVcH(>`1kdr=)VV_}vF3B_Aas!Y;KOaW@W?v!i_#TC>)g$q`GKgT)*^Pyj z=E!nBHU8~H%YEg*BPB)!?WK=aM_uyIu(_qIJDlC$dNn5kOTG1zSFu~_J^v* zXB(<=e=pM!eb(9j@u?&++9_eFrwsA&v=5In>+EqjLx&D;kXO2!0B3TxK}VoFEoL(v zi%htm9tm+xXsi4NCl8@?)(wRhld+DRE z&t!nMX)yll;^p{na&nHOCyo|kbUwjG2_f<2yrVMD_QzUb%l1Upg>fStG#y*_qvre3 zG@qSilBl{dwIV6V&vlyC8S{~oiW7FWcYYBzjdcSi)mvIagc7gTZ7J^=Q2Kq{G^m8= z++@u|-9`uhYqQE$S@NP#*HP8dhux=Sc->77a(=^oq4tRIn}~c5+zHX4=Tv1o%y?KMapX&LErojp-J-ZZoev)OT`G@8v-|-SYe_ziPRw(IK^?CcKFcF_ zYd0(?&1dVzm@b1h^E8dm3d42sj%{M|uS-^2VJpU<$*-Y*MUY%6`M~R7yytpa%56z5 zT4p9yXJd)Ddgg)-Z5Nku@KYzxrX^64>He0NQe~6#yDCO=7Kbd}Y?>sf;Fc`WEgQMWgx?GNa&TYHLX+Nc2+g+o3HlUm&MSU!WqKBA){wc zax34azxxP2u8;;r_37~Z>mggh>=ZSZZq)cj1tMT3MYP=W0{b#4 zXF_-?LmG*X9<;#pl;Kc}0U)AG@OWm>#=2g`kcL%F3Gc+z9$Ab`NFYIbq7CA`U1w7o-#FEhRaBXeI8xF>X9>Vy_nI z@T)Dn$5i*gr-tA=ggreNUn#TkjkGZ>lGF1d%j7fdH%IW1!3=~F=CU8vqN5-&vDH9& z@K2#@zQ2V~{9-_n10md;pmwx9rx|SI7Qo$qoIBo|()^Es@>kS`OXQ$Z6@u62mPvF;wXq{j3Hfa1) zG{sFtIq5PYQ^s@=uD3rlABjcp#04ivq2a}a7;9gN=V9vd*^5S}GlgcH>sp`-OUzlE z^}3Q+-3afgiiuIS67P?+2S0xkTh(|W_uex$SL=It{-4PKTHSlWQKCuheKzb3%(eP;@&< znIJm>D?-gXxayK#F>mReqE~ro;E_l}sv}-kxBs*O8?SVQ(8?e85;wHpssDRuoEH!?A!+E>=$d{Q7bc%j!753;gRLRiu>KuyNlvS<@|Q*D zdy7o`{0ZH@#uwVfZpHS1M8dah8?FzATwFXFE@St-VO(8J;yyO(YyzHyyogdZ07=}# z1*l1lbwq)1L2~y!B41JF@Ze-8t|nSQsLW6sHP>GI2!X~BPgx4I$sWHHI$uHaq3%z? zii)aJzMC{AU$IpQeX^o^DGv$9qc7lItZ{@VBxiH6(nkV#Iqb_7Kb@{ikOI~?r|0guhhq6g_b=LQEtyMx>W z5-`12pw;lo(Me&u7;Daf1v&f9jJ!Bm+w{uu?t_!umaqHEk(=SlO9;lVRGJPXC8JtB zwel2p*xEm3m2G+1sO|!1LIuU9Ug=bUPSi)q>Qp4+f;y#Xs?g$A_n{#k)fDAn0Jub< zFiw}zD1y;?_P5f5H~wvjl6aA2IY|;Q;3Ddme$)gS(ia1k?DF z2yMciOl$sUwPAG&Qps0bhXN_Fj3Kp9chXkXCGIxyt>Xj2Dx&$Mk7xb-sC^<>fR}lcE@((2rzH z*)frRM*a~l?};~D=_oDh0?`%QyPBUgYN(y2Na=gVO%g0pl$@vqY*=X%--(1VZ-80r zots;`tYP|G1>9Sa7OYaT_QXKYDHP{Ym4tKe2#$xL#e6HAA)n7*Q+@SpT(}huTM;%g zkaIn}Gb2vsUJPjw4>};`dwlTi)IJ`}0p1jO#SJaynuZaza*Jkpy8BJ93)LxYJYqzm zwOFZ~NE0*KEX03j=hDa#(_wOM(gZ)kyb($Q_BjmzvhRf?T*$ZUo>M$LMZp8I$FPV! zxz1UOCh@Dv^?2R?eVJjhbGH$_^(RzQ*)-OtAMY_lAZpA?0FPCPGinTq6+CS8vh`KVy2u#6CP72f z=`QGs+IUm=J$jXm2fHRbOX!N|ds+0RDf{L4V%wRP)(#9ETk?n1N=Wq2bVpOyc)bU6 z4t=9{9}SJl<$NGa5^0U2!%#T8_L*NL&Me^AN4SEE4=vM!lRSGY$dhw+ymWGWdn8ih z-s0t(nP+VHOQjKInP~`zMZu6& zOVt75w2ApS(yMxB*KyaVgU;|IUSi1AB`j?a`#kR}?dUXm%%qlYc;6!QC?s9OYVu$kX^BOL$gQZ@YSyYks^4vzoU6{j|2`vR9vwsO=? zs9!9QMN;9=+88>UJSg*&Usm@})5r9wcom!JvG!#?h>5O=xJ{1`g4AZfy2+~n+Hx$^ zd4$ie%5orlgQj;X0QJq$yYLv=zQ3X8)_84=@KooR@YO;x+&HNnqtEo72O+gsP} z@V zB>jCLCy6F_LQoa}JcgZ@koACNn>$Q@lT#m;fr+FFKm_Z5kp+;zZ zH&NrP0Y{w`>reTFN(Sud+F=%#m|EvekC&`JknTVRdv*d_IS3|Td!YQ@kR?u zE){>!FGaqTOt$u^v9^w7J)q1)-I!{WzGc!^^7nOU zk3Vl)yLyAn;2w6z!Z&k<4oi{h)5)W3zBmQn-D+yE1;TXyQ_>oiTBLHZy!4Gk%ayHB zmT^8v2D5lu0{0S;FIW_S#d$-r;cE&`y$_C%!-;Fjlv#pW#(3F%MX*YoQ476bd$F7M zy=w)^KW4Shb)Iin$#TOQU%o7_W4PeS5u%jq;wKbb$*BC-lc@6H z&bzc6mTUTOH5fmhDU0XSQJi$0@=3(4J{MGG{n>J8d-)3tUw?9J2*foK9YhLP$&!~$ z{~t#mS_ulipx@KPujta0+bGmSLX9!oy{vF5pfnEJoZH6^=Z&%~XL<>(4{l#8L#$WQ zF)t^ARom931I1~;zZ6=SW{%3Wqn>94^Ek!nfBTh#kar}S_~TnEZiOmuA;Kl_P^ z8JR5EOAa|20#g2I@CGOed;01VBD>$oQi*})bqy=h&(xszgsCVugRTZNWA2VpW2s}s zRFzuBWmxUJZXFM!T%sK()p|!K*E?DfL)be__})Pp2FN}=82U1Tj#zd?<9vyYW(d}i=CQwA?Ud|89Mj$LdqQ>`r!5)GE6c+_W~QS>Uv3-VbN z&4e=yxP;o8ZHQv*D;sUZFs0q;3_FP#ny(4d5IH-MpmSR}Hw8%+J3!0!qPtCl)oihJ zAtmauNXQGCy(7UJsT-N|#Xst@1=Kd7ri0DiAn_&j8Lv9iT`X889-y9XJEFNPNc}o9 z++m3beVGT%?WDUcj(KZuRG?E@*ceES5l#uQSoDaSxFk;XIQdHdQY$`4S_pvU&mhG` zyypZsv!cFLkr*8CnZNcWux7#^xuMrYa;Oiks~%T>)>A=MX+E6ewqVkC!!qzCOxbU8 zozsT`k1<+`zh`=KeeNw7$1=#T*I+l(%{EDnTC+-i{l4 zu*o($1TY#4%tKzuVLs5WiJF;#?(7p;Mv6Vv_N461@fsoF^?oamx2gIFg!UE`3yW%A z2fQ&}zWMW{Te;|Fp+q#mswnc8rDqr)aaE&Awv^lg+t|{gPRKa@o3<;jjRR`xD_R0H z2)q1G0xyX(Ygd5f3qy$M7ZRbeQHw7|eEBe<{Z4cI7A!1!9(0N*DGkBtujP zQk)B`fUmh(jTdajoS=+oP1mKu%l^q>Yj6gMUD)_=*{10?JTSV@ELr6c4Cj0p)g#V( zSZR4t_IkEwmzmYX+c&U0s=FnkNEVkqh*LyvyNMNQ4Y21rf7c(JV4vgKbsE+2X=ycH zV1(VIMzyMg=p2&@%ObYxtS}V7o+F;%*bbL~(i_ZhCncbl-r|7Br?HE&PU#o-UL09W zXd-xnVR|53NM{R&n3Rz^c8KzScIA`fypkf%$Lu4TTV#$TY(tNZng{mdMNc+UU$Cqs zf>3&v<~Cz!TK-v2rI-?}S+;SfxPFTg&)<6;BSNPkCZ%AvNs&!d<8?BT(efC4%s6Ja z%fbt|)FoAfS2K+PYRnZf?&a#2Sthsycxua4(w!9KC~$hvJEt4b6Irp)`hUaaBTMf6 zoZ~;Be-3Ms1;({6#@KINeTM9g2;IzMyfd@V8cFhVzRarD46F0;Vr3areh1iEYrC#K z_qPTUUCaPoTnO0%F!+*TCPqEI!(quPWj{9Tbt3|}sSR7|nZJS$I(t9H#`)Cp($jQw z-1q3~Sga~d>PTjKV5Y36HOcg^TuKR6c3sVb=KEhuu&tJteWDmW$VVKQimm;p#eWgF zTrZY{IDN&NW4Ok)-VRE|pleI6#q%8~@4s)P(a8)?YwbhaKZ+0=GNQD&o6Ti(cyZ>z zX4z}Zzf(#33}31n!KK4`Cm!7|i^uqm6syqz9?1HY_*m@jr)f9X=v>e>e2bFbWzP`- z_ZqQ2Qaakb#a#{cj16xW?+~em|r9% zB#@AVq#%f0lz>87L|V*M0wStdwqJIh{mk2Yt$p^jUiCWNSnGS~d+mE|{ql|t0lf+|{9BL^P(}^}00~UMNSV-)Qb0gJLP7D)ju@H-q%xrA;4Ki2KQBU9cq4K( zNujRKvOTx}>^#3$4}czm4In8M_4oq^j-p#&!2uEj;xd32r+_{kiNFBFASAf20Key7 zx}W6ubmx$YgmCxrathwv@mM?$=d|4uz`i|<$Pm&cyr8Gxy|2C$K(`M1;covWauv`> zy!{!|^(DOeBfJm#(}fE#0{=n2 zqrcFPG?>^QJcs}>If@$d6iSQ>fPn)D`n25g&g;YD0m!iUgN_*EAZ~a#sAs?dWD`#K zRfh{xL5T%mAQSD+dJZQztjoLozH<+ z(YSy6&PA-aE79*SgMniS|G5&;TV6fjOR_zKTvhmh4hf9-4elJ^1yB@(bU2hG1h5Pn z@F9Q$>W6E1bqV!-4e}kts0;GeS)>DqQHE#%fCD!Ah4|hX+*=R;zKM*r|GF3FuPs7= zU;rQP0pO+p&XIJ^zro0W@-jXq0Ra07NCV0U1p*k<@AuoIX)IzEFGS??EBwoA3P=iz z3aq=*?f?1}uPzCB0{nI#C<4ews3-_P0)hlQ!blJJD^~&^_N)5Gf7FV=kV4>4zBeQK zquZ>$-(=u{40q4*dm z@&+pUv+v-}+5x|;hkpa;_(hz}&#{i%%!}6#{xB70^m4QZshWt8@?9^AgoFw_V8ODU z4#6xELkjg4$bfAQ|NKs?ED(Sn`7jUykg*61fB_}@WNl6M&86%J>|fnl9R^mN4Q_JbqMkePGZKNh0x`;j6c&`S__DURD z*h>P|I>*1*{Shjn-eoT3(ReU*;j*>WuG1RV+;);@>l(3O#ft$rw!X%tQaOjzArzlI zEZlLm4gRD&+1kcbHtXe68CSNbN>RyvVXS&v0RhJ8iue)4oBDUQK6_fDxE(k|Hr4B) zCGIlrYowSyNQz~;Umn!%?G^qiRZ1eX(@Q_Pu2(DdSO^rhP)PT(!nCiDc}|jFF3|OQ zO#7PB8^;Tz)n0Up*qp{eL{8nxcCi9Vs?ym3FVk-6X@ohCdNF#k?veJ6J8JLmx7liz zekFCByI*sQEa*td%^W8**D&M)1CV0Bf@c5RF|#TS8Q1S23x!6JJ)P5+ce+rap{Ze$ z7GdZLtsh*?8IzY$HXej|x|q%)isMP&7_XPn_s&^yEW7`%x`HrChZ*MbwMHuWaxr>l zgI)-0{{U`@l)B9JWdC+aLtt++$IFzZ8jl4*rZm?Z$yh|Kpr#2c3(C5p%3+LF)bIXm z1%`nqm1YtA7ou1mn?W2SpOJ z5^HA0N<#Siv`l=H4G|017e*CxowHE%r2Vr$oh>m<9Bz%bf_0@$$GSq>SS3K>hH zY19llkF&c>P{z+GbA}_$>oVoaKs>9U)mIQ(?TtWg?5@Fy`y)9>zqja3BX?3;5;~iS z2gjEq0#UEQs1wS)fy6@LLNbL99X~RfYNN$Ju!FK&fXG7F?m74NbDvk+7>K+}@+(Hz zr{XRo)9EUyv+=~-YOg-n;wTg;a6~0$FR1VmI|*>PM!53#_3}OL3J&_H*~@Z*rnAcY z2)hrx7%^B0BbV3MI47He$UFSJP)S-e_r0@AWi$Db?(M!UgdD*AXP^5`&ZF9a9Z@FU zum&=VQq4o_NWNz;uV_+?vxFy*(AU1#!oN*zs>r-^mOJ25=UZ*O%Uk?ed>52p_5N~t z>RCm5HiR1$xbJKYP5JEHdi_bnM9I%xfqen(y^d|a5smA99)6DzX1uAKfU@+6A!u|R z1ss6P`wtLxbJ7r9f}4pPa={gUmqzIzw? zcHD~~Fm|sztk7?suRXlPU)kyEYt-MHqV;3(<=+54-Z~$zeuF_%9a@*s= zHHf>I`1VRs*6X6pQ*WHly8RHIPGUZ{+iKP>2%MF}Lf_T&gfTjdY6XGJ@Oe&E{&eB& z3^CRzsCd|4m)X9)XU|-EtadRL274s_*^(ZN@mfA#QN#w^ZsT4X(JrlIUFO*1+q@9c zit)U{28%E6v$Q?K>wjJmb4(-b>@->8X_X52d)@|R?agF*P_90C{}ra_L#G|``Jw6=?(nt8jhJaLB*Ep#SADr6~=Dw`@0tTMhK-eX7(b4sfV%hK@Kg;U-d&>P=3C<5O-Z{bczb!g#zfRpkD{ zT@$T9Je>vMh3Zb?3fcPh$Qy+9%AP2XXC9d1-6qW_E&q|)XB3YD164NLL%-rZAc4#V!j@Dk%I`)zqz!{3+7eth33d7)Y(OUxF^KOVB_jDGnGgAa=Q zSw2jcjg?|}rP{^r+8+3)YuW1)`*ym*Vn*LG9daA&FbqgDs^U=rROn6gn9u zA^xIQ5*2bxs1&z`JRjDPi)*y5A_w9(c>a{KkKuNIc-zA*MG00tEw9F>T<0F(ubYgw z2$$5xw;vuT@j6mT(KgIH75XB8kc^9ho!pD0X$ISia=pB0t?W z;pr(A>T09;Q={9tR0auT%-0-E`Qc_2ULmbm7+J7I{g@S-KmHJ2)E(178T4)v-+tUM z_5TF|3oWa@CfPaFq6tTAAMsqMJ7B}fE>{7VK_#m@^uYYZFt0&bPV@gi))a!u}~RGMbfbEOscDo+Og|TSNSyxP<+i^ z4(YK4wS3)sWXHM!F%_q0pX0Tlwf|IlHWnz0^pLw{EGk;A-ZY&`U!tkMK{*gh`M~rz zDhvx-u8IDAGmw|9X@GBi;)`;@P+XA0Ve^)Q@?iC+QgHS&wgnO$Ub%!sQ{&9V_xzhw z*SrcY&EpdaQ3EUSC{*mlTd*H%FMnZ29@zNZ8Kc`38clx7jn@8b*JHSHzTSf^aowr- z+*je!5tJBCP%TG1SQmq9M?zPKT>#&%# z(-Xw{>9VY_<`JGK=JFLT(F+LClzfXOmv_)p1JM+@5hvcZECoT!Kx^nrOT*;W93THX zAT9i1Z?{8x+*FR`d|{-Yxw~h8NMj0b{G46lB`i+xgj3GnnT69hQrMb zkMrEFe6s8UI{J+%Ly~Q2gT`W6!>%8Y4Xo$Y+wFa4yj!1jetx;T2Smfva-G5|AJxLR z54qRVOhHi2N`0>Q^Ra+h8MNgP4O#O0)l&@CM-?0yPK5O2rA;j4bF9Vd{o~xk&&eJw zpWaN`clSrZZQZxl1j2)?D>e8x$f`=&J@&wNXfhS}Ri`t0HhZ^VHl%v|RC5HGuzYJo z-%dA?^zO2~@9wF}9b5G3$#G`h%(wC&C-%>?W35A3ed}M>C>MX*rDEdweuldI?*?dm zP0^|oe?&S_Jj5Rdq8QC0VRQ5~_uAhu-Dht^sG#hZnl!mNKddK9NxjM%S5Wl$@{irG z5v7r1ARKfZZ5d?A%?=Q>1LDkxl5Vm3JbQPibBq>>QSBTSe<@|jYBI+hwiDPM?2QpD zI_ZrqB)M+k`lHB1&z&^k7@4o(%IvYwnnS1jBw9-i0-3JJ+_Tu| z*MLQ2d%hxEqrVy2I}1*#P1s}6;Mlmha6@dKJg3HpIehk+2S%W&%{QH$x~9z4Xw>}9 zVu=TNM$Ow3vW7XL)ply^SauKaUCFiT_lx+*VHt9+v9=WcrCx~joS8Xk#VpaqfQEur z>+*oN)V#g&LFi9MVHX(L$$&5HLIv=Fb*(4Ckqs9w=TRxwh4!j?W_I+>ONL@TK&UZ< z2a1y^gsu4d9>wu!=KCXsHWv2@MfW%xD6D~f2D+G9_Y8}nsqonAzi z<3t6j`xSZrj(UBMZB+0Ms~tx1yr9|5^dzdP?;;Oh-%ft+6&yLy#7WUmb?~ z5nc@Ll^8+p<8R8JlGA)f&Jvn98?87BqORc3M=Oi1`ImBw4RG%$3)SQ|DvG2`A|{Gg z@naEK4{;Sps%oVW-@Q6}&t!ds6XTonv%xig zDM)q1)(bk=*vdNHoXK}e(Qe97gE;29}e$`7#qT-g^i+*NNHez;@D-4fm#|YwdybB z$b1AP^yC>n)WkmDMF^kr8cQU#^|ixejyt$l zO6MxnFY&~jbro&w$7T!4~pfUUlMX;oRmQG!zH)Z`|G>xd8 zdwWq~32?z4=PU(=y-m7u#m+OofS=UEs^yhdTDB-_!-(A--AaOcu+G({Yp7lme ziCh`=8@z46Q>w}B_~nqgMRw_hnG#e#aw5M2C)(6HwJ3826InNsZ@T?UCrWmeW4p^! zS@c^Sm9!>-a+f?mIq|+%2KQxwA)K+YGEKPN5ltD`?rlZnXlK~E^E|zu7|pPf*ZnE-ZSJnHkfs{Wko+~eA_b~9ZZ^!zU%oJu=FYL} zYSe6~iRw^@C{OmV(>@ZWYAE)OH~S+f4o{-&hwu?wF>LK{OY}Fk5&P-1r>;{n;3+3+ zVXK_TXqb$CxI1fS+?$xarKVUG1}`_3j|hHV{ZK)c5@?0F2H`Wc2i;&^>UK}bZ`Jn7 zWQu=i3mwzlSdBBf?^KZLTNUx z&FYitK4DOV%J6O)cKueZrhI^6Y-YW1Vm76BI$I1WerECxhp5xfg|ni6_K zhVC>ih~DP*s!h!&ou#6)Lnzf<;;tSUpGf{9uh}{v#G)tC=+wtZv~DSM^YEYTH%&-C zGKfiKUI(?we#Ovm*R9}<&(GpImmX{;0=v0##}ybe#r4bATc1w~x449oT1|=lBOMA1 zJ2&cqox1=WhldXI#UvZ2NFUGoVo$Zx(I>Y%p6HNr=>*|lAWhs*e)&e_7HxN$slx<4 zR`4X8b%*8Hc9Skv?lI!}lNXYR^otO7Z^sDEPidncscR+Yb%w;e@O9L2C20?eH2Err z+|C}eFlFi5>zPrRsmHRw6mcux+rFKI*4kbk=0D_u7@5f4BIJqgHTN_ci6bafuc~Jb zX}7oIo|mq$=qU*BiIjdZi9^(UoY;kyIBgBrG&m8COu1eh(E~oxlSRq4^^E2*eKH(T zkIX_4c=Mt1aJ-||uz!D|*C_H1>Iek#runLYmW~fcZjzLJBALHvMDDP zq4N1k&+S!U`*Yy||JLeqgY>MyL-s|~AYJeHcE_+`OI^UAwn>Eb`ACo?Y+-z;&>`FN8?x=Lc-lYY za3gizH?kPA(C()wvDTryiw+xR>$t(Tr+D!2-HFB$*6^nvILe)g5Of!IoqXG>ed>{Y zv^(Uncs3^vh9$>d;v1kwD?2G?uTVdwEQymZ2~W&)mN*isiN8aoBG!O*%Mxph9WM4- zLRx|SwcmDK24h86S0bs7unaX*cpwV$Y8i=V3z%b%w({M=Hu1FJXa>Ako^#v;2Tg%U zY_j)F=oo0O4XprBnP(ruDy%~K8?_ulCQYn%98N6dQu_x7w|(IAAP<=JI;hlQ9IKm6Rh+SGjxm()^h{J>hp$$xphx|hX zB3vgs_xUiZ?&Tgx&|dg$CR@)LRmVl2PpOk{AhL~|h{%xp6eY>ibkFhWdayUdqZghJ z<{6$Z@r7k1jY2O|x64P?aWv8?6!K2NPUTi$7`d#1!^KV!J+wmCqfR3UW$etjJ#NMeTGa4v#%E;*T6IxDQD5<#*`EH@+j5^NcNa zs$H7hmKzwwn%{PwfTOkFP!h|Mmk*+*%*%Zxf?Ir;7iU|Qx(H0TExGKHcHl8fXX{e( z&p$`Laj}dx8+!<&t7#cKiC_qTI2mjOyzB(}H;;%esn2tr`o{tPMc=ymTtZFjH?D-GyVJ&Ri1#^=2eOZoSO35S`V{YxgKLU)#%g7COFnD=s%& zbqOI_oWiI2C--@WwlHBAW}16&G15c+AG-;f{Lr4Y_`La+m2mw9RBpRosA62J$bUYM zsA4Kr4y|V&)vR-$HE@~~hDTdAfe&w}xcN#cjmo|#vOxm-(4Z*f}-{7DZV$txBWPwr$(CZQHhOSK791+qUh@&i*hRGcnx}{U7eTao<^I?Y*M3 z0>S7-LmFUhUqLJ5O62NV<1ol?@-{WFqA8k+73i!!X!8#z&SQPJ&{&cpOOIBm>N0&S z_C!&Q>bG?bR+VO zmL;amilpg?18EhK7K~#7MTApM=uqXG@&moqbLwo|0v8JW!)-L!7SVfk6Hxj6oly}W>;@87SGPMJ*{F7ib& zpO$9cZh|#O6l1Su-1#*jT}RMc=h79yrP6Z9iESJ{0!Uc-(p*>UYmn|Qtmn!H;eGZs zKe~dC-FfTl8X1cr!%gD>@Rrqr95k-+W70@33Wq(0z9PN$-t;$u@*|?O_3x7bRjru~ zcP244Zxj?1h)4X&`ekx(MiXpUCF6P9Bsw)%Wh{6YGx|Cp3#4B zzdy1?{u`{z^1sBoENraI{}t5I}h zh^?_9_`7H~zQMcQ*0FtTl7ArGJv^WUvNu8Is$CqoKK)364B<`(wsxy=>@as#C;V6z zA-_wQ`Qg#%YDHVWj9X)yhuj3T_W)G;B8u^b{|vzK$+PtM$rWN^ zT);i~5yZ(^Qti5)$?*yE!}%F-elFx?BYF85@37z+k$X;tL}84`EmPyug7~0DToS1R4U^ zhb0x3CJ_O+0`BV2dFJavLU(5G^+fmgEUw~wdS}l~`%yQ;wDR`0~`QYw&MhWdX#ml#IX5DjoRv=?Em8i&^IrO=J)CG{b1~GoCbpt z{P+$2?KvbMQOq%(G4AE7@f|BKk8lP03Ka3QZ7>A4s_W6S?f*SFv2zH38 z>YPN45%*r9ahdjAy?Ou#+WNBz4tIN_wr)mczX$Nb%f%WRCaAZHyZ2+;{NwW06aT52 z^g}xH(?NjZN_5|n{XyINqaVtFAGhrbueRTASSy+rJe&h`-jhFk+e4#@5Z(A@o5=wd z!3_$Ugq<=C)Nk;6pm{y{TFdY{cUjsYpeMg+r$38A+x6kV1Gh$W1w##G4|Wie<>?xy zYA_KIQUUU+tL1FrT|(8wu{snk>(+X^d>oPC5ry*U)ldO6J9zaXU4G@=v|41mploWe zcS)FcRkO5?3QCrjn=ONfZ|a|JWwy;fu)xwjA_GPO*yDm1GULc;T%amoMxwox!{l5* z-HFvt*QUrq;#@^%eGk>5P~uzEN{o`@n>$A(YP8-h7TZX|UQ&w{+%FxqQ7gC_WuVet z2B&CVO+|8Z(^3wCy?j1PH}gX?WTOZ@U@h{%Sy%fs!ucNw&w~xpOBMgR^xA1ZA0oCb z$_BaTBLnpP)dtWW@;>G5Vw{Ipm0bj)02t|Mr*cq_PG1TTGAjFWD>3f8@P4k;=D2hl zK;v5%=yTTyfDu}XEwNT6s~HY_OU^L&AC~eIxj*4p=aJO0vf4EK@8aGq=?zue5rv`U& zc+!djBt!V znj|Y0a{F9&7H!Yfxnd}LoA_>;E72g?bT8UkU$*mwzM8!V@ zjbQrcWhpVRHV&i(-lLi+4R|AjN~?T(L~>5YH=QEO;HdV88beG}Hn3V> zn=kM7!34D`nk@wYbn}j3$(1>Bd60G96e#6!``K`Q&`Hrg!)4#O za&wR66Na}e`S|(B@Pt01xAFJ9i?M9J%X*uUWoS?TyS-7e0#!@Eh1OU$`thh|gIT7G z{81AjX_Luh=Vy29jPOgFWzh8a01Eui98qA$P#^-JRXkc zeN}hPptOI(#ma9c%a6_aj91CAL;1`z>q)sYgCyn*HX!8T(Z9p4OQR<%D!WTp>7ga* z6^^!AK0iKBDpu@fh>UlKM@5BBQgQe8Zpr}-LAY(6TGK#N+g6#u@mp=PwW8H3F~uTu z9lIe*XLpPaQ|E0<%y>iq&(Gav56?AlBUe{v0&q=2{E5LnxL51(Egi466Xd)t1D^`Q z3cjN8irYk9;h(bu#25X{gRznS?c)%p==su~0-$axaeulilWL#w#Q`xT>|!#BVb$KC zxES4n(l%PThS543zYXlqLf$us>rl6o0MBbbS%ap{G~21) zAp&T*Z|06s`-UNfO@u)G4t+-1*t-Pj)o4GYp`d%mEJSir-gjx^HO(K(n~!5s))Q7i zmAlS}bu@*d2sl+Jv?CmqrE92gExCnelWPuQ+Mn9jy_xEM$q%l6+nrM$fc1`Uv&uw_ zrOd6P9|XYhyuabx)^rIy&w@oZoLawq*N^sy32EcWe$|AxLBxDU?^i|xJ}x9r`0I4qOc;>cwLiWfep>5se#1ggMGh&}cgDVdh4<`=*RFHTF_3jVY zBus(dMkriNV%giXxMtf4gmRi6VY>V_1epuaVz1a(f$p+u8H-eMA^33bP_T4OxoNxj z6Bn;-pPFElcs(8@EGBTc$)!QU&2jn%dCpYcj#7?-@z~SSH$xZoa92gC44q2Owvmtr z##c`!MJ(Gq1YcQGav|M};VJblsWr-tsNasERcaIF5K-E)y?!vLPDX#a{%InqBzJAv znJ@P#ouFDq+zlyO7SWN|ltGe=n#l|sfs1Tw_{#-OM=6Gm!qy>IVuA+Od2Nv9RLi#8 zs`PVvzkof1oT;+r-BB7N;u$RI>EVCA%9{E&A-rM4tN2d-f+;6H!a@p47z91Q)~XT; zrlQ*If=E|sx-MbG3T168t2mpacwo+L;5KVKLV6*BFa|2iplehbP4VDdsc9cK_KeOpZ-0hckg7n!+pg{t|nP1CM4aR@UCM z{GVd|eA9t(W>zZ1VtunA+l01V#<@o>ua|f6_I-vC@*b=Q;hzn(t!tQnCP~7K{0uN< zF)nR`6`{8qaLsfrr#!?R?LO_YzETUQD2Jwypo&hKOB(TO9kx&WQDY$2*3Zc;kuR4; zoI01*8mSd@<>w}(n-(b9#8kOYXXns(jYY{;;3U|t#+!(_jUp7fiy?~JlNdO`ak80~ znhQr%ruLk;Qp%dXr53oTUTBaSma@=zXIp&6q950`2{`k!0s1HS5)-<53!X{bMHQ!C z4F=5TL@BTm%p_&=a6@d6QgDQfb?te+E@X^1Bj5te(bW4P^)%5q^wC z3|GnmxvU%X9WvL>j+qvm;4Bu-h4pRvRzGpqjGRVkBWjsyHp7TX^1o_;YiGKZE!$}$ zunLQmLXK6=6cZUyk)(MI%b#~jqZ>KzqI!67juyCEDI0W42ahpcDly6h#~Wc-xFSf= z=49`*@vdw4w8nKR3vh}MxOn_vGUXd{Am{LuPLU-m??g9GcAg;LzSh@Bw_hIN^TC?hNE*a)on42uG-! zD*19bEdsBv9+8%Z>=V4d{hi}7YMSdR*S(MStRy|SzxE15y9sMAVZYLrz*adxsf z_Ob`r1)XX&*P(s9wD_dDJ^je9rnXPsQF7H=fNtEeT@L0U@FLeu1KpsW%0-lfIpX8x z-QO(68}N+=XPsN@6Eqo(D2zo=<)ahX7rxA21lHftsuObeC`ck@l4#w*<9#Pc__W5Q zjU-K2Q%kYfyhyKvyU%gbWPIOyT@2&&83s06M*nGT>j?@mcM>MM2g#aRQ*u*NC}i2T zy-xu$Y&M1~J>UIC1}V!M)VLjhPV2Z-&-96W-=02oC#-z14g%da+#|FzsI+Q{Hx5%%Ja zx*zCObhS6E~)p0t_LCI{;L1W`9Kq} z-T>4SsmOfuE$x^?S<=nRJ4ZtULLZ-b?ub(3jl`^ZMNifNBrF+t1RTOx-uNl#J5L_{ zBD6+CJT+iKDx90@?S2Ybu)zj1L#HBCU3P35?9oL6Cj1JiuA@2#C22fT&b(i1A1 z5x!o3@U(t#?hYbij+a8h!fIq%MDaFY>I;R^V@fb3hBw#gJJk^q>Quw}G<-QsG8M)m zO%cnIY2~8pug>Z`_5=Y9KGHdF9f-LI$CcJ>`^E#ACEGXlgtocs$QFl2NF;rAjU_n# z47t!@Me!Se`FjIlaDW&S8ax(+L2Y*(C?bJbC$=c!Ye!#tdPXtEFY+$1y zTFm%(1l$Vnj+M3naW}><(xXUiT%MTZJ7=M|8;Kd>rOEcyqnShRNEQvyB2AT!jq=-O z#qm)AW`wKZwoEwdN8v`XZ`sI9GrL`ru2j9pRAWP!9I*>Z07*u~fj@SMv6h!4zVjvj zu^@9v>+dydkm|+9yOPxl`tmdhI|{2yjKK=}4D*SGZzs}(!u3MajJNR=entO|uN|TA z1reydf8b`UiDf*nCFxfbFbJA>=bB6;!Z0<$!p5!&R?;h&6O2zNsLu^Fn*^stgi|}Z`{T1j>_X{@iHFU ziGz04{TE{UdyvD0HgrW@yb8Q7ew5wWxx5dIX(93P++*`!j%_q}YlrZfC^|QT@4S@+q#m*g7}<%{@-;ANeq#&Pj`6AgHUAihsHtJ?^qD zWs)+8v}`48N_`ByG!LgL)vVi?)$(bw8cb6f?6n$4FCNP9i%2cW>)*!4rX=<1;h$R{ zC3D=NC%|A(UaE-4JC^igX(DxX6mDYbI)UiXe;s(diMCHgm|Xbw5Y${1Ubq%_wonZh1bB9Kx9lQ{vIHXdjS1r*m9>n<{h95hZ(uThu^QGcKH@ zC3Ex7-8YS0FKCy9Gr(-P-^X;aO(7X zvc94HUAu|KWAFa`Xh<r zpB%TIj#j)7_P=`uT>J-S3nMMko2tPNBa4<%zXC zVm+wi=;NaT<{zm=!#Mc|6H&Tn?>Hi3Xz6XyTMAs|2UauY(LF;YZg>?r+J^geoGcOM zvr_F*Asr`2&#_3erIw**V6k8=7UkBs9PW{1VBs5C{Tmrq882~iw|CtuAyVg%EmaP& z%NgNH+`a28aYjrS#C4JVxn36frkIGfg*Y?4G9a#IvEgxN+-P7XU+bfW!ELtx>&;$7 zvt1Tl({>^X>A8&k7V5RY1T*2lrV0_ZwF9Srr7p(w2ogO3*F!YRf{ax5p|YHC;N~TG zDTp+)c~|}qsJI6z=`6WLF{|cssh=o4g_@HG}NVB$*h@2?12t33WuH5YzZ(3eJS*GTZactET%wasRa6 zHP^7H8O!)AFn0^qf6p~s!~s?s%e00`vEYwX8w(mMtp&sdHXa)dt;yrW{oC9cCP&6RPPINwS*OK!kj0N;Vxo4Q=e$RN47 z>1wrDJ^0kZe||?*%{Y<0?l!!NZU4IWGOrIPxtRo#v3Vwo?|bAda(@pq zsf7=HwlVd5CP>thMoNWNbp+;bwd`QDSBdY~6~#!uzj1cWXR89FO7^^K`CXktY1D&o z$6k7VNLai{jw2aud+C-4U3aG?9+*yjkm0E@`Jf*whHqXnDBws^MYN5La zpGNHxQPIZep7phDP0;NC%0W-iAJqiuv%ICA3fjS3ZtLj!@Rz#$m>_}S4n%#ikUS#9 zyvVkT(Cja}pu21b<2!0o*)zd=bI1DYQ>cZoTV8ONBXz+PnAZvq_OyM)qE=R~hVGN> zKB75DYZ%-)Tu^qWIkEMecAG+(#fkEWiZbd-n%`lx?Mbmp(W^iCK_aoE)C3L@!n7{r zDKjwdaXv$VIpo`AuHFpYUru=Xsp5i=3j&1zELa&2J@+q@{^Is)u}+MeVV|-Ayctu_!}EAPocf5z+%91gXTB5_7*->Rk?+grQfm`cWZ51-`;K73eO zd>Py?<270m;557V7~Y^$v0O3ep@Qm9G~R6|%~3?llN!=#j$W5OctoTxdO0rIJ8o9^ zPJI~!;IUT7Sww|T)zs<*4YqYP+XC*uR$F;eLQEFqieM-eXRS`cSfA+7t;{|fOOd?N z7*_SNO#K36!fCHnY;sg;*)2t)mTnbXK4dW_+{)`=CTMn&lapVvidBz}aus!E7dS+= z#B^4A7j;4Iai%6i!=h2558TeI2^L_(J7h9+{v==$h=@+5o$Cs%1N;C_G&8gOH!O|q zf6dZZ{wpe*9*>@po$3FOwf|&k^mP9tOH%?>TKMV!2MI!m5L@AEXFU6Yc4d3p2d_SzgS zHlVO;Bosi3?vE4?3q10(00ZMFXW*klBY*{y1bTg)jB|q<)b#+sMfM-UpCfDgInECe z?!5)c=75&9W8y3DYyU;3kPvbLA~O5sSZL5mAb~YsM`6R`fJ^#3Vr;W~Sf!C7_;vt1 z%uK_$kxuqQNavr9Te}BSf%^ny#(2MWO;zlHxai)N=^ap0Mc_ZVj$Z; zxa1%xT6b;_;iW3QQUz21@*k)?RID4{X^(v2Xp5J0loMb zRf(=!`jD@pUV`-z_yYQY&w}{&An>=z*nU+5CGd>%Q{ZSih(%k|uN~Nby}YTwN${z! zvhBQcyh!-+JpuYMGG?;S&_}UCZ2;NvI1qX9#ocV%aI{cC`MbQ>`Z#P%_&CSFf*!qC zkgz=(p@7WFQhs#(LB7WW?E3L&TryapkFV^6r=}SF%$9k(7G|=tAW*TupO>=O;lgYP z*IT%crft_`jkFZEv}5Su0h~Wrz}L}$=>>5*+Ys1KygVQ%ySCYXfZ&qACUk;F$AJ)Z z_=0j1DNjuS8GWJmQ|0$dGUx>D@W7%0Igp0=KnSxDf_VAxV2=X<_UpF8c6)zpUQ0mY z;sE;NW!&-z`$5BjKC`p)MA&{(AU{S3zWkQ;fIf-*c5{1vvaBE>0t@7EzI{7>H0VbW zE&f@TliZsg{-7x<&-wK7iRYyiGNF;-6GH;(5Mu@Wqz|Emd@g{#-iTo*F=CJbes59l zWqhBnp1^^C{M-scyv`Vfm;u=#@b&fB+W@D4aU$>_{@6DDK)vnoeKSt{gg^MY7M@-0 z-A&NEZtVH4>gR~T{qW*|?0OtP64CJ?mHNH6RDkZYIx5fM-1=@f-O>S}D9O=)utkcC zg$Lr#_rQo{k<7yZvWo0yYxx=;w`_lsZg9ns1<_-Ke!g|X_xJAlu0bF>I*@kavjNfh zX8u~NJGVX0uZkk@XiqaDOmZ@2ud?Uj5)%OWYE+ZBe5>6231DCn@N7_`uU`Qy@I)~J z2ax!D{iA(+rc8ft9cK{h`QY`5-Bx9pcX7+IJL}X0u5{z@7QZCFh3!H5;r2k>9x$$m zaL-gw*IZuJf~Qn32WktErEj*kyrCjdVE*PZC)zOw7tqE9tfD8MBv#ak{z+{nlAOWV zvSkR^x;hSIFg!xrS!{`C=cI`Qi`G%#`kftmN>-mcJE^hr$=RU}Uln71b$^T_2}u3Z z>A)?&L{n;y481^WEuE-f6vkR~-QVc|_mCHZyTlRiW zNkZ(rJJVpTq2D0DBm;XaEA#^E4d1^zA}{fJmjK-^BiupNJ*}c(C~3+w@xAGn$c+zn z4O5M6GtqEtw*0jA`M25eG35yt-Kv8iehU)!Rx=@HC}p5dF@uO1A{WgJ8;~>_-4;<& zt0b}!SCvtOJ5w{m3VC}snS@~=t!RTdAbdZ`y2`_{(x_5BKE1AbSSVeO&S34*;j{1& zmyk?SdLM5^ZcS`z2JHmDAw-DcSXTb-Q+(94>=<_Y*5Fx+WBJsMVllMM<%Cn&S3dqT zmvJ#y3kGL8_sM&1Ao zva>*(+0p%TU=pP>=h-2g`q^q}G$T zsDNraD1T!46rzn%I98s)Sh@L{kR+b4dNfsV&{$XyQ5~tJN|lTKcuoJf+1Lh*jz^36 zs2UWk7#S679B)B?UCN-RINWaqu+?RndGXxI+M2k91Nz=bQWtJs-7;$=kxTq1d>)(m zIT1_w7+KH^RaxOAnn*Xm|o zWo%)e7YwNtj&fEn-*VwH#UFa zhFho;liaLIFaUrof>VT4~R z;ZQHp?XuT-YW!8Fv7p=!7AXfNa3MUB;ZKa7M}B#}gVqIldmEX(M;{>*g#^ArH42fS zeN~C1>YCV({>OBmn!Gvt55j@uTLlW3sc=0NnBaNaV_=2CjC~6fMta(-N7M5I46+y! z9&H*=Zm_ML=Pi}pd=*hDMfYIu{q82GY>}t@jRV2HP!40)^8&&R=rIy)^eFb#kC+A= z@y6Z^v2S^D&$8DtiQSwuU#}xUJqgC(=wofa!HC4o>R;f0Urte;9%s&4ZmQh*oVuPw%BfFEL4KMY4adxr<6MVV@v(> z<*PA}ZT}ihhti~XuaCn@=K<%()l(rYO^Hs{6%o#w7FubO@VIQYPrDLASlq1FBH&TW z{;>|)Nhf;MGP6cDbt_cuu+UB<)YeJVADwgKY{zaC>Q}&GtfP3BvZHihJSAs`rhUn_bOgJUV&+aj|zVkaR zkCADR`*W@d;E4uDPU;2zomZ)yJ^AFi;u~j{VU~I7&^@FM6HSAHsgrMbwmxl*$al)_ zBx^diw$R;x&^T@*F&}5>fEhF~EwQe#^F9c(MG?+XMb@OW$Jc#6FllnR=sG3qc{T6- z#*u|Fay>F7p^ll&EDrv$5x=tu>dcfx0ZjI+sFF^Ikjx0^sCS$eLl!{)m=U|#_uGAR@(dA;I&RGj=FSt56GzQ91<2bu4W1sol| z!qicna#yp)OAx9@I?36O`5{w8a0I(9Gd8iZX(#u)7Tcfe$T)rW7?JADV@>l6 zp|V=iNN>HGsG5}({*J~=r}Xmvp3Hwshte+v-C#$FRB!XT8NAo`gS}i(dKo0!cxJ0G zR$338h!N|cgL~IT02~qbtajTcIN{`VeFT{uj7brq_4_M)%n85fnD;=TK?lS3swq|9 zFI$DG@iIsL``5~0#+B{7fI(?-CfbyiwR5rp$aP0~D)V%k5s&&*ILgILluwMrAP}XZ z|A_rZB6KKQtNADdxUdyF=yi1|eI=7z@KE8P4+fWv^TyFkRMomM2&YeS$Hc27hfsNm zUrw~)hBQQzO$h9^f|qQ5XovcuvctY_yEfamEcV1hqJT#CXO7C$wZj^+gq+uWHAh_a z%rf7pN9Z4#EYXVv5>5l8Y7=9_Za?1xuj>`hw&Hu~E}eh_b(11uFrw76&KKKEwqukh zlcRQ%jR&~~e}M2w#fFW+Fg#UBJ5houzptjXa%gyE8^^?=QM_?I=qQ4%55;&R&-+lM+bYBt0a9apz zI1&N76WF_nVK>%A(*3Vh(?TBFAEtGa32npbz+!}nBPuf1nm!E;Laugx6%Z=!}~vCg-Gn*pv2 zD{evzd--^xr7m151EQAEX-p3#mW8y3%!l&OTJZ#8e~Ggp%Nf#hm;w<+jkh6n*=- zqd%DhQh;v($F8FuH(YXKmRORp2oPmJI|YsYPGk&m3j>rgU??J=}HnjA@-+fbQ!ppHxFA5OU9V^ z4ah(2vqnRDp5XNja46i4K+QIi@nVI+=~1*9l+XrFxqSlF_6 zQSnh64>v!5oPs_Ne}vP<{3T*)@@005mqo_zr*_|OQE#TG{MOo#iytkE*)BHll-NFS zc?=wiS_>*oO1D`t$IpvChxBzx0lSCXN_Y3wT&Q!0%6`CbsLTKNEOU6k%C;qcS8*mp zMWDE5vTCnVxwtlYX>#PO(x&yG)^b|~#$k8`5EulschDJithCGt^cvG<^FG;GYGw*F zwWatTIguslOq5gyrt2E4T@vgX8rwhuC!DOXVfxT)nA~bN5i#7iW4hkBpye^}!G{};g0W0W=2coj~^jd;lu zb=aZqV5&29xeMbB`#5sJO0Yms`j0>JC6*)vVi>wC%*-IQ^w&z^<{S`w474sGC~SR4 z@e4vG1pPH1RB7r&7l%tvI}n_ump&e5 zK(8w>-L(&=81lJswANCU$!jLFTK;frxIbs{wlO=bm9>T!%^$~Yq))IYbBfr3K3+bA zODm5jC!NGck5YF{g^E0>9`WoF&M$7)uuvSgVEH(}d!D>R1tMD%CH!{3Q;4|9L#TlJ ztT8?*(Oa7r(2q0ge0%aY7|riTiMkAPgTaW+X`1avyC89t7nXb(@gH9~y%KfaN46+4 z5+JwOj%>Qhj%!mZxMfkPv14;z9Cu6-nQvl|`fpi!`y>F=qQE3@7FO;a<`G2JaTJ@w zI$P|M6LgDYRsKOssduo~IM2tF$1#@!_O#d3TrJ-Pam@zu`t!0bZnFQ`XO$(fWDsU) z@K~+|D2IKGpuk>Mi0gDmkOvMIwCu{8=~s$F?bRxMZC{pH+^#J2W**5MLO=6}Gkp;R zC>CFI`cm!GTUhTpfuXT}*qzffQTaD^?{L8l!JGc;^HsDbe$OB8?gThQxRP;MK1SQQovcEsf37g0YkQ8kiJu57M2IuV(cCX!? zLi323N)>^w$EMAelpgcWpgO93NYqbfF?*knnkeCd%KZZB_Z{fxZCf1gdJo7FySEg0 zWQi%f4d~+mt(66KUAnj1VsX1WF594b;UW)5!k`p}CBoo-CApd&`?*_2m9uQI18ZEO ztGQ7->XRf#G~|Wt;q1{a={tQw_n5XLMX(83j|}|@8hcf0^ZQsz?7#{0 z>&azrIJkeR3tC1+8kfZ<6;*W_Mw zPC@ZT`5@mK&2kK@W)uFLn7ad zx&Mv4R>$^%>DGB5NkZX0R@0D{?e?Z*IABlOaYe%zI_e$DJSl;+5o9AHu@O#sW<|irc zLq;*9|CVCpur^?7=U{RU27}a`3om5{JLb8t{PnP*T&i$g)# zj27w8VJG<0)|H~|4*T~rAn$6>bhmm@x4Ql4+0t7|4ZH4{^YXiYBbF?Qui8elfc=qa z68J!`+Ixu3m_FtAbQI}@6XPA~(dvZg`IxHbIHlY?0$R_-IO*02Yj8ong)0g1O4#sZ z=5X%=hVuxG41%jOaQDpS#ZYFk+l$%3egx;*=s#+#8+9%LiIP9J7GYZk1Ey8=oCKY0 zu40c{=a)WqBEGzxnUT`54?KEahF|nPrXntNLSCQ6H9_Xw?ax!*j^X`NEhrzvbHj}+ zg!mlC2Ci=+f+a?Qczv7A_~U2y5y6!-Zj?K53K<77<|sqp4Sy`>x|)_lNUOmw72$#k zm8Jj(?`6K)>e#44ZGBy83l1yD(pdsS-8B`9&-Qgjy7Q(*95#ZGA1rb#BTZY35mkex z?{*qlbnetPT8INOS{MYeUdBjwwnAS*2R%jAiu_qDr&9*kaclbA#zX_(KWgR5lL1Gm zNh-QrGCa4}u}Mx-6kb$%REe!SX=t%W>a~5C8WBPT81eZ$g91ZJV{<2D9{5cCl$-^$ z!MFw8HJpF{KQIqmnqHA3?7E#bCrX_&F0@HsyjN(Bt-LP#>mBb;jubt zRt;bk#b>{bU-~%-HYz&4a@=0WiDn zvIY04fYR?=WIsCVJWwB@q--;keENDI29!t2h5(DyW zmX$6I`@wsqvTRe~<|qI3wi_gDVTd(zyi6t)>oJ7?8K5&R52SM_O9H#&F|0W=VZR;ANUvIqpMrpbX_*!#QG7Rkd=G$0A`=V~^{0o=*c@ zxZYqp?EIO}fCvENbJ_gxP+Oo9N#}46#=AOYY;mgE>T0>PBkB%qXM=TgvfW0fBnW!a zgUjChx@2L9FvqmYT6-R8t}qWM(tilm38p?HeDAP`Xl=7)94J|67xZa26K(g$)Qr2tB_f*MCF)PD(uzY0aVxc^1W;EZ?E?OmaQ|d zwA(kgqUI&A3r64yQpsM~kf>cg)99>ja^tJ7-uE9S#XWNMw^>6=vCy%(rM_ODr3ig& zT6+`9%o#Txlgo~m8%gu@i!4jmP&oCOanM+X#x2o?@-1YptL?y6h_$d}g& z0Z%5K(I3(pt2wM7$W#XPupux zM$Q(1g|qjy8kP?iGWZ8{`RxxL$g3keKpey=@7}lD4-`n?k4p#}2LV?+yc+=YHIQA1 zJ0IY?9yUS}uLJ~uKj#;a0GAiMnr|2`$T6UOFOW|vETEq`nqB^!4Fq1q`Wf z;VC!UesK2M(`$j0wfGbQ0k*Y8Vk-rb$L$6vcl0MP5_ zb`ygP(rNJ9@4IL1d*kRwhwUL1 zXFpIIYw^bYGa-L<>D5&Trj@Y&Yy~!4TmlepdpiyQ@e;Z&fd~&GNSlSU^v5;^NJw}W z0(lwKuZkOFH|mz;jhQYEnh)8tg>00Td8|i(^WDSK(D5gSn&oEa{zf}k;443d$gu%J z^o^{gxO6%fhGNoeuc>ZBansU-{j;CnahujlmOQNf^#WIz$^*B|2UEQ5%FLlE@bC-7`^Rmqd3=Fq`GTsSWc;EJRj03b@A}ocRa;|I zSf`r-8H||K=bx_SJMUG+8yzBJhe@jrZIQHx&Vvfuna)3Fw<9LkI>A0@LQ;H*v}83u zlbKwH_gk}wg{|7AWW`SV|U~&gp+X5_+MlC`v9S_o<4FdD0NuMPQpbVW`sogefx?kzJj7 zotyKZ(C~SjAQ`Rdj%E-%=ScAcAA^5My6WpdiOn?5)X`I##q&;qb32ifgL%DP#whx3kJ?;U4!u|6|9<5{_!avO?Y<4HdiZ;cYyq(Cqh4V=(`Pg|1c|O2=U}KY z^@7*vYK=ce?f&IG7)ei1mYH=YJ-qj4>6!7Ygs{E7U4NyRwA66HJonF_a@%xuds;I< zBvK(ciKG9zI;VIk$A4>*UH_cArw`)Ic6~VHZlHB<)nWBm8FIQWne8WG(Wlskf$4fC zSgjf;d0x%UzH*NH3!AP6y!j8AY|j$PwMd?;%uDv3%V{SPm%V~h%T8t=B{QCF*i4*l z^b_l3a`7Vgh+itqkV`v_2rqV^my_QcEkM{f3sR{WxVdf=@CQa0``3w-t6pGBC?TM` zc1IGkKeHA786#f!n?oNGl>8aCc;6lf;Z+ugZMkMHU?&-6x2|L=BIun{esZv}l{p;J zC!)k&k<-qxu6Sszaxqgjum)~&PV@Jar0d1=X$7>bV5f%~WV*B?roAINr_OAdVfxM8 z2bDCxsHJ1N_gyb&fSifXrvGLG{pp~}_`aSv$|Y1n2ELtn@M7ZSPrxhaA(Ld)bE5g7 z8Ye-4a<`>=`hC6St-`*OTEe+R(fyk<)(o}a$C@l`MB)stnKRELlH2u8=%PvfHBU=Y z=2=T!m*HROR~WD4zoq=zE=o`5*}2@`S41d4&4)bm{9F!Kp0|0z8c%1gt|BUtitP=Z zX2y!Pa7&!J?;7Pthp-Z<9;dO%k;p9-7IwUyD!ib8xY;Gs|H0Tf#E25LX}E3MwyoQ? zZQHhe+qP}nw(aiQwrxyr=3mWBrjkmnDmjbF$*J$fqnY-o%GfN^urF~!(Xm))W`a|0 z@~ZflJ0&_)l|0Ovu)u>M41PKnup`mWd_x$!V;Kg+s7e+rf!sVfMl(AtX~{Hwor~g4 zA+FxI$rK}vLJ`rGph9a{>mf9;Mm^BuKImw%oMbq2XGIwLa9cqI$Zun(S-x8HEi&(U z4G^$enIF7KZA0~}MgV!tpQQxKP5;%j7_Nt^D`tWY3 z$hg&H5$o+`ZRD*5`X#HvLcnOW`#Eh?;kg{Lopj@va?N`P3(P^s-cOr!8jTTp?qw-^ zez~L4ON8IBQL@rdGZi=jo;uogL?jc5d6P+M)BiMD2&FEV^CoUr9xKdX;=2+5neRgq z)Mo8i9pjVAcpscoqbvTl9@F9HnhkNm>-YA+y6@@9HHLGThGrT$8oqH%d>B5`hn}n0 zG4nSHq>6nSn2bILCN@Sk2IXf?*FRMx*!5e#@_9izHN<@Y6th20gnTz}C9Y$SP0iO0XB zY!}rp2XW3-Yr5X?*n4qlL6v9}Hq5umv4}6`pX)NM=VnKl_YU&B| z2WCRd97PL=V_2KfE6box+Isn1y1UdO-_U<8Ls6bYi8Ntw~FPfcT> z-UfFS{N8oJ)H02$QUJ#hh|!P-zYyQq7Wcfz%ss=Q1!16{f6m;)v`)-d zt5I_!bszx~Trxo9A5FTzq}_X8GokbgZiK}%Fp13)y#KgpQYH@eYWp8tBv>c!Jtl(1 z>>6!ukSc}{<9(sLhfeqajSRZ)NlJ@QiVyj5s$Jxe#OWs+Y0Ejc8%&}S-l`Qlsg+c$#CfT+d5-DNnlTi{y|dbkajE&@kpEM zIkMuFuk$xzGNv9G%Z)H1;x2IckT0y3UgMH`;iI1DGgTx$zH(4LgANu7VmD#?>;ZOg ztCG9C40tCd%N-8ychX$+WKegO6o!Y$gV{E?--Xqn^)A)cnSro7q{8a#99h8Wb=38H z7?bzTeK19a(Le#1X%=yF||$=311P`eY?@ zOyo-3+xRO(OXa={Vvi=jCW2qJ-+uK_YGZj{zGTtnH+dLxc{>jBM=vw3`PAFOQT-J! z3-=jIL>#{M2H)RPa4{saL9G1aNF#4AbVfB$xaa_jSuAXQLcJ3@BN9gr7uP^}!ihZ5 zz@!FL$!)m;l+;S6w-hA#i`QtqXEft@VPcW*c6TiIieHEZ_ElS)hpc;N%OwgGv8)?$ zx$aB5j$a7_4_)r7Uhz8dVv@gyV2TIPnPuUnDQ&2kv)nCO7uh4`HMZC%Y=rP;+b!LI;CtQ}Z#{(vA`u3Q{__kk1t>Y#J8L)rp`+ zO6g?K{gV>!-|ZTFCPQSCo##t@?7(|Plylf)dpkIWuO`;^PZv3HX$KlCGzj$WwkK&< zZ`u=&h8zc2^fDs&uiHcP-)M8{5?cm#_rsQ4EAKCeld4m)Wi6Lg@>dM?RmJjOtkJ9P zN19Mi`sFaM9`I@jVR>gsF_T|AylmE=n-J<7$@dp)?4kXpPtU=Al{#LC(i~4_GLZ9& zF_s}~a-s(5?g5RX-Vs>OA?H@GsqU+pWe!aIDW-24^-c}Q81lAJskE82q3p4N#IJzL zMEo+n+md~bOU^mv)jj<-2=bL)vOzbtO{c}#Xz0OZUG;@4$N9_5I~0~E2P0d%6s0y1 zSc6?$ce+r*-Tabnl+mwX+c)l{N=Ci%*~bwag7O34=pYXvUp^ITHUs~Z z04L{Lcgc)>LQ!m+9~TT(r)oBy8><1$&~wUz%IGYMmVPxA3k$wT7Z&oh!&PqQC+gVL zp|L(mfEX0Ad+hk>CaQF$>4W?kD@5$W#vzFSzpb%BpZ_YhTPxjSTbQTCEYefvGh|wJM;oH zYa%-&N_v#NdrDu+ye`qH{|o;cy~Yk@}HBL@i(l7p#E9uGb<16TvJ;kz9-#S ztB%qX4=l>NlxKo}n(bPb3uQXRpiY_`NFwKpRhkA?8*$J}N1JuyBRLPx< z5FdHA!u)$gq-+wbtERLI&+uV5_I;0-#o7w*8{TSL=cG`{(_5O+ZYkRRJmx6H%9%OV zR9LZw(yR#rnxbAt+-XSb{W|erE+iN2ao=ZiBxP#xDK6*W#I718H% zGdPketL&%ZMdevh^U zama!0UP7Hl)mM)u(se?k5cftgx8S88*L2VhS!UyxN{{a4A^7owL|@$eri8v~Eqn;Z z!hRM>+sY*~-^j}EZ`II$(Xg6DXzK^K+Jhgj=UBg zUl-Sns+o7ZmY-$~CM(TVU@NM8Rfof}nY^$)C@XN0HvjfHu|i!i{j@Jwd1%r1s$1Hu zb=ynUU8?6Azk@I^6)~5VOOL8dfK?A&js#jYc5i>teAgNo5xiH`oEA6YG%mBA1$U6N zs3pJ(kF|)A0%R%FThFL|O|BS02UlMP)zuaTbPHrUECkL-{dyigtJz#RBlXLlZ;s#3 z3xl|A?ipBv&PXtv&l@YTWqFq&@oO(u60K%enkbA^&$@gWhBH7Orf~^(UotH_@*Y7^DZVy;{=}>alj9X->428&@hN#SGte#!hBxx(qj&u z3^%S}qGQ=7KD3BJ@;GU_A;B}gE?5<8;8hVXaJzWMu~Me1S429$Rg2z8yE`kBwTN|# zkylX3FoVF;tQ!qTJ78{_G0MA6OWNj0LQJNBh%;`P4Rskd-hG8kq6g)YzaV-9{{E4! zWYpeOHA+uR&&pU25eENJhaR8C%Q;A|qoJDLOil9-O%1uvI8)F*@ICX9cWb3xZP9Xx zN^6QT0-bigl0GAfqJ10C-`C1n&RHLHix+57__~aEm9tj$iQMWmV0xc#?y5l;4t^^g z+|3<58x1t2qyZM=E31@S!1CETakpq(iqU3Qh4pbZPe__nMc|%6Lhr)#mEVPcKjc&kI`?A_tL9qALytjj)&Z ztM9*P#({8-Q`%UlW>R|f1}RZbgY57E>v#|$^!Z8@xRWGzrirNIURmF}oAAC*5iEzS zdOXn|gwA~a^iB*XppCtg;?zTTw@fq@)7Z*4)Z(QkR5Xs=#P{(afL@HAJBNTdJwh<* z<&-L&7@%iL1>(xv#JMN+ z-_zj7db(X@O|)n*+CuPgr=i|>!II5cv>oAQq9$lbuDvqUldWWUJb&}Gc8+!}6)|(A z6Bgdw6Ft*l>CJFtPQxRIEJkvb=+Q&G|B!L1808lu9lHbtZh)r4132+#!tuCx$1<^y znMuKzE?T_`BGBEMhbv!x{T`{Ae(PMS5HYY)nDE#G3GY+IxuPL=J33h8kW#^Ocu#vD zEg{dAIV2^adzqr`ii-QC1$tGSV?>rm|az#EXMdhz~x@Oz7fL zL>mmrVo#F#X_z;HR3b)$IQH?qY<$ab@f-If%cr+z$sy&f(DD~77|X^)+0Lib@bpJO z0#?tAfYX~Yr+DBWIliQDWi4Z(i|POD?RjlhzP$g-^J9&r64>si(615GYV3_ z7M;by`zD_m8cS}{3TlR;%0NT|U$1LVOV_uvaas!@-tJ*)>~tnV?n?hZe}~XxZOgpy zbtoE35&GGZf~7g21_PeeN~1KIhYLvKCF}H63Yd%IRBZ6JG&r5B?Nm_J9#GxysFVXx zZrk@kovC{*G)n|C*>uCG9*7I$bKS)1bV3%ApP%}0iW9+~9b64Lg}&72pTu#U;smpH zXy{8cz_#58Ah&a}m7FXmVxPf0SHcjNF*PY@-M=W5d_+SO+}Qv+Q_V^ib+4>5;m~3Y z5ez0&#m_s_pXTQ;E|lkG9kb6<)-Pg-ZTCOu3ri=CH12+#9}j5YvZyaOfVz|vo`Fc$ z)6@xpPeA2jPImiZ1T8tF%&ygLM%=Wue=m|12kC51gL|xa$h>kOg;lMs8yPvxi~3+I zIP!xPC3^yv8#$*X7RoX0=7^uCpr)tpx68Aiyr??@NggvY2i-yKFdNf$a4zL1*%xxQ zH0*7iFXF#x_^fcYU*CChu@I@jZqxJGNW_}P^j~vqHxx=zpZ9%yrctQw(kcWZPoc#j zjpqqg&wUCi(cf3^S#&%Nd7sk`J47o9_z3CcfyV-VH4$gTnK9PQ!ZDZn&CqLp|pHyeF zoNv8 zQ=U-0!*S2rxru1q@c|tSK(r9(IjU*ft3|2ua`&;@rudUxy%&O5q%1enqNb~uu4&@X zx!}_=rYRS{l?W%WT5;%Cl@PE)FV4e{M!h?)E0^$ZnUNfXnPOP19Vl8-%^a;&Z*$** z{VOb|7%>br&eIBtT~S%_K-6*@@;+~`p`z5=Vj&__=KGD=oHsU3!50p30qr(B4yLSZ#5CPBKf&-_D=u@0dxWB z2k0P3f*u0)DIgxh)rWBl7L@<~q3S0-2^930fPj2^e}@X>jtjI8ZUmy|>qC!l1jG=C zLkNZkfq7;9mDCOa->g^!1ZDlhp;6w*f8Q5;3q(Kw*w}+}3GRzKMX|%c2n5KJ1IMsB z2YBQmtmD(q<^%BU(@O;gfCBnax~{#{`L6F4jH8o|G(BZgoC zei$C0zpvMyz>Nea8~z?p;GY1TdEd>70Dudr5C8iKG z{@2wLJ~{X~7~nyJ>+hdFzgl(i=>^HrfyZk-;ve#|Dwr2w5D0)_fZvYC0f4+P3`zOMrM^P3!>Zz8~1J*Yj<&(1VF92p%5{}cR@O^8V7 zKLx%1KRez(+4p{hZ?#lEawR`*V&~h}*S!baegHpWIER2PFF()$B{l3&w7@zXnlN=g zAsIs7=4zPNaNjp+WKh9qK}b`WGUkuT&`^;PKal+K=kk0IYXA|B&ToSme7=i%o=%|y z1Yq_gkE_^V*<>`IdW=nDIREDC5J@sJ`~(R|G#$!zygp5Y<}%*hh%Fh!I9^j0FPq<0OTBjx2rj%Lx6&kz1n^>kp6M^ zb{Be~9G=7or*yuF!2kMpp6%L&2z(L525NKnVj2)@SP^MY?2^*FK~+OVhQvML4r1=6 z)s`^4S6~N~59wlrBM*8hT%@ap^=Ra6BfB~*>>Kk?T^qCgl5pvTKAKyOQW6K5ehL*N z-zIH}Vp_*CT)jGzyD4BUr8`&6mrlH@IA)|qZ(QoQ(p$?3N0(pUs}@Y)V>^At;xMc@ z81Z6tB_)$Es0)6rdQZ)c%?q!>nPlMi@(%9o(IP$%L?45BVXum_&X{~;&WxEBR=?+> z4-PviLaRchK!r_T6o#4hg>q5;Hu)M0_|>SGBhqdda?blpOl{t^F1k7YP+TIf+%2%+)VYMuA?wlj^3_32>I{xaQ~yjFF1_M;%9h+L0jzNujz<>P-40P(}$bJ$tHMJjD+%KzloPy549bPzJ4KpPt$J)K%=m zIY*4XWyqNQf_8awQoCT8QA9yTU7p(XxNdrFcd>~F0spEii`YTYnX^7g#UQew4xF%3 zAc}4TwUM!2LM}IKzdgJ_p17*ppBWq4`R%d|yXjq+*V`+ULWb8^gQ%y^%!Tazc~zrf z3jj&B?gy%HW9@2;^o9k_5xzf^2&}YlOCOuPk(TCLE4W*bW2fv89Y3x(cMdL&<3?+Q z&%dBscmG>t`Rw)}tIzgFrj~kfd^{U5ukm(&$%||VhrMK0;oDJ?ybAWXuAb}B{+0G$ zcICi&$>^D$KHa$hTxQo4+i)uibPI)xkgT1GVxW)b^1w4jWzZRF>6e0A?yw?Dd#DH{ zT4-P<222qMj@xVD;N)WY?W%~X^b&8k-$et)E`4!BSNpfF*Pi9n(ccCDz!(p-@DPt9 zb-~X;kC3zX+lXN4Wt}!|`m0&@_)Ua9Zq?3ad#g>Oz-`mTvcK%puN9cDQ`Pm!LnheG zomma!_39sFIw!DE)3%}+ZEXsFv`k35WJ(EsN-s4xk-)EN7ITQ?LK1+$4i`t?Zt02( zZtZ>DDHq`CDO7EO9e{m0QFlc7Mk3)P;Sl9;t-z|R#U-B32Qb{3@t?@yq|8aE4`WpV zsw>X%`|%r4gIV^I=d;w0(UD*xR(|dC-IY>3CRqLH!D@}k21>oRyb@krhIM((lh^9i z4{kp z>)1L*`k7p|jdMkssF!fdsN|b!t<0RBU06BHQnvEa?|Z^?G1J$CD=tP?(XAfHNh%TiGm3+Gu38lE&kLVu7RnihxMPtWB;j9@Jg_ zR`c%f@#*V{jmFfZ;P6*T+2;-=Rvz4(=?riPK5awEPJA})rU#Lg*U+P4#icMdub?vcRG zt~Mh^SG67$nSKwfld$vt_}7*Wt;?zQdDI$)za>qd{9{(Xy1#j*PUOJ57Xj`}Bb3Yw z>?7M0jq=%EbO%H7wPMqv62s72F+qKTg=ASQ8#Br}NLzOZWA;#grlKV=YO?WQjnrs) zZYo0lb16~x?=cgSzOsw11^Rt_2K%~8!?>W{Xc6FyR+w6eN=TiKYWSk6o=k&0cOHAS zAd-Fb2h=g+GRQGBtJiF53m5azp&sV6apZJsZlIKyOECmJdI)cLHN@I6s2Tlu`$dnl zw7KzqHB89{GYM8Y5hDIL$oaHArUy^a?>hIZ3W7^%9u=6`MT31~MrB_K?fYK{U);!&t+?}r`1Y9BxCq;B|8|G|Gj~ju}Mg&Nc zZLIQzC4|-&+(6q`7YbIAs~7%QAHGCfi}Q4@dSI=F26e=6({TtjE%+`n*LB7FS_AJL$j2St9S9u6mfk$zsJ2X<9rAQhkpnVj5jzTwfVX$%iS)%MUnKM^e zLG8DkLcZ{y;?GV-u>#sC-RHknwjl0tCX%KzL|73zo` zt63mSlGw|*Wbddm=h;Vg_Tv6?jI8(F<(+#d?kZ^FeV=X=p+0<={ zZ2q*CtwF@4&$#VYZMP54(xTOq0AH!*D}|I;k#SPx(@WH@qQ?YJ_pR}6{w=x{BtTbD zF}7r{G0W=6B{X41RmH%ir1WJ!;7WuP3$wJY|2q&CZ~*m14P@R$&e+UG=G8kG*qY^$ z9{zRVFromST98dAt)8R9m*4iZJ`Z$7ehjoc>4s@5{JUdlNcgb0_ji0}zt6{PVUJbU z;Vf@Zt3>0Sv=gDbw}#IqJ4ljAgq=eQH+=Ps zH{gCZbS`rC?L&f>hk;1V%fwKfm-_-kzwmo5r_?joQH!&qdV?R*LQ z;{`kO9uMZ2-c~?}X$&FlxY14REOu2nxa7PIBHBnFM$F-_^fReKRV#LUJR)cj8(`SFO`(dx8d#FJ|Q$2Tzwy#nojpXO~(? z`RsM`hE8mJDtzPRqI!tOsQ!Em(B+Unm}azpyPJzav*O?6ywwsp_+^S>;0_LHc#Rqk zUwx|Lcl|C-seNEoj?RCRKbS>Nrkg@HFg<5?md`^j_>rtf6PkZ*QrfOS4`2?S1)(PA zPfaZx@D{!0jMl}51VO-Vsu8U-5cZ|H)dyc=%Wp{A;)1NSGJ$fOz_GoPU%VnNBV3VG zJZ?wvXi+ zAS`G2Pr%Pg-SSygo!`q^3wUdILydVA5s5QSoa<#HB4B2C)fTA1=-yS+$EQ}!;(*!b zuCqiULPxV@Oluz^RdlVxO+g<{-beFU0c#M@Q_j<-*!3PTZ=KM?d(4j~V28ZO6g&IK z5+_aAE-RKE$Q@RaMtO7@9Y%C=u7+I>HRsyspOiIsPky(k?0smIbJ$$=dUOP^jL%)p zt1euZ_%CUdemS$1k>sl^=CrNttK)5UjP{n%(H2($ph^B>-7Kfl5B__8SlbA-7Ui)0 z9($uJ(5nP#xeP`0XEE8Nq4Y}258qvQV{LdgD%wu0rRf=I;1hbJ7N9*1x#5bfK{_<5 zP>=Z7!pnN%UW2w;yip?@?1xA=BNz8t?lyrr{9NT7a1l_|`O>8451ZrqB^x=6PQ;Ce z*mlU)xd?fbociLNotSK7$2(=q97XIt%zKjC5mOB30&za1e?kcp9XYM!rto_-zdKmT zS<<(;?V6Ag{M^Wvl|wGvXTH;c_hOp5EH zbVo_P{tEvngG|#AmR+i?$~x&YyiIEQuhFQj9ehrvNVnl;bw{&lo2)U`JZzLU%DrTK zmLA_!?Ww1J-fZe?3zX&lsM}V2!$3v8NgWc!wbL^B_B83(x|kApj4dd;L6IWa9&Qsr zmNq_@qB+1G73+vbzg!)De<9DLRv_7IN_7=I+M0~M?sIh1x&4fSZ;Guq+4{z6wLX#)gf^YFMGa{2&$*BexP@@P zyw89fI{0gLWtot+_PYw%3^tsb!Us3;3jz|E9E|qTz*H9{semxCdIgL`=7F05=+)xW$$b~|Kpb77&|MTX4 z&?c_(=Q{Z1r_H^+*FbETJ>hP=Y|=aZg1ulz{De>S{ zOeW|krD;>B3ql&!*iM8R@Aangbw@}96*uu=Eq7MzkY5NKCQur(pmZ;+`mQ7GHlyJj z*xL-kt5w|<-rwI*<{P|~H@ot0-|i(E=w_|Pn>JC=NZRl{I$hEqTRCDo4gmCIq1Vnv zwo4Ls)*H8CC}9{1Z7jFiJZC;h;3$oPvMgZi+P)s91J%yCqeJ%)ZN{?-I&RcOvc*u} z!n1YbV2KrmtSwpT9--!BwRfcPO$LoQtRrm1`cpKRptt2f&+shRdeGqGLFTdiEX>Loa+E_;2Uv`Nl&i*X8Es#AHtJCO7vG4*!c4?w} znc?$1u}V#ZvAbKz$eR~8s!MKqlIN+GR)ArkX{wkI436-%1Gx@B^y0#Fc#LR1EO2L2 z=%)UYg@X=!s>z&8yYi|^JhlHkxLNa1V8k!c&FY|vH@g&lW_Wq!rO|}7!zN8;z0Y~Y zdN)!JP^x`yOc@<>>@FPk)eQiQsee@dT!F4vNLeNz=DkLqu6$cUMm**q?^>}FdI7sJ zO7x>N80*qn&ugX2Rra}Qs`x%0$h86(-N>ixnbJC*PS!IzeLa%tUvQBeI7sg{AJxa& zI}%BcIn10hqQdw-L{$9iC1Y}$6#YlD{C4jd90NO3Zz{55req)JcTyJhi@Y!j z8SObw4wp7Q{{42Wcf@)f_TFp7$aWUj1``=1yCgA7oD2k}$V{unKUEXU=He}9X1Enc z?Y4$6GL}+W`HqX6o6BBehMhBtg~|EQr|S zPR~K-P@u*1E&Q(mqoS#%=cVn~-vt6D#_&0nBv(>t4j1DKqD;_xcJH4wp6=GK4tD55 zNZU^yd);5Y&_UtXiq@OAx^T9)D3Rk$QM``$WX8@f>8*sdz)xEb03~ioNzf=5s4k_h z2SW(dj8(h_kq_AyAF0nz!;K36*7Yr^rku%hv-KrdhyNUnWa{;9Ivq9%MX&ON1h^fy z?Q5}eQfv|^=~R+Z@9E?}dP~5#w0)@H36+ev84-i3Gu5Z9v7hwD5NQIFFWJ7;Xe>qa zEXY0eOp3TuuIY%!dM@=`ZZI6(?N(BY$QoRn&i2<-oGoJqrwUd#9x=bnYiCZToUv!d zr(m|Bx|@im_#Uy8No%G%mg{!~eoL(cCY8+K3w`~`*;2}B;%zOWu7ls6wTHO%{?56s z;U2xd6|pB0Amg5FdkZgp|IR6zl8I79|LZ@e1!iJOVB9klc`7EGSd9AS@J%as1>{;G z7TUi7R6JO!C#Zh;>5Qm@^u%gY2)7hEFAW5I}Mr9xlK z%T{rD+;)5;vsyI7tF1>7afo}KH{~gV=N~YUgtV7~$DdC-9PYm~yhx-_2q3NYzwOEi zJ>ncw4TWUf?mZ3r+I)#-XZ1U*`MX>qWLpI9KD5nFA5Kl{r(PJ;qCTW#i$P{%sdHSM z0R>OrArm>sgRcJ$YPiW&!k20^Li5l6I!}2ab#T}SUI|SBaw9z!jbB1jRampn2EfBY zWD$vm6`;OokF~|>S*YA4-v=2PS59eph4s(WlA%H2SlBtP{*899z8WelG2y!->+##2 z=6^b1Go%M0Uz1r%I2(WUE?#5nq;sGBE@~+-)AFc~ZX;7Zy)8r5rY!Sp_|hIve_e-G zB+0&ze~BPC|Kw;PV5<)EHycfMsE2Tuc$JaPI3W+wZK7j@O)2{wfl71dU>30Qq6Qs+_KGp8>B7 zWICVnouOaIWMJ#+w^V&s(^<39GXYojj!0lo_^eK*UpGx8n^VEyO(iCz@CN64JN6LN z{zrUyc@223bL-hFIgq=IB`6(7SxlhHb&~p`&LykZy4M|!L5~1)U5$JSaU^*zuq9xG zCdRCBYHfOhtj=N0S*qYzJpE4HVmvDo!ya=>kAaFvws?>CL#I(hqCfAS{hw*+9-);z z?NK_X)eAg1B99zCotc<~dmmRle~6ak{ScxjiB3b$g=$#l@2-V*$`y5*64G*)=s88e z+w)<|;y)50F-pqxE`NLicHE+YjrP;+b5-c{4G^W%t{TSOOmhd)C!d_M?C?y-0@W!U zg!oaQ(&y2PezQlQ)VhqczKkYJ@uyoDy=rrefvIwF9w;QAG)G-jy`@%n*EUxLZl4K9 znku;XUd%4`nXYL;#%33p?NNq3&zx&)k*)U@Eg0qy+}e(9$li6yX}zRk3yv!)%yv&f zsBQbMetSouCV)-{b2z9`1(V{nt(=zH2@H3m&DEwLh&wwq>L^Aa-XD~zW=gEV=Upbb zgI5-!j;}(zXHOt4W+v(lbw2dIkaI$6q9xyvVRy=8Js%%gZBrX_`tV)Hyyp;iY30e{ z_~=ToM>*=h9;pbP7Q}@qj8Zw7>A95+w;RiIkpL><2;n)muPTT;=9Ovwuh;{r@vvv% zk4>2nwcGJ1sfIoJ9QeC%0TITqr1bfWZt#6hk$J9rrIAG6R#x6)l!^pgCr7; zg@gsE5(y$byQUqMt4KV(ld|0{qfZ1Sc0mbaU51^N(79o8YG&G2lv!hqu>pRhJv38% zF&@hI<94J>9LY2#VX@pxcxj8>fCdV*kOj9WDJo3(H>`pmWJB()c zR4HOT68=8QB4J7OHf_sXbWg@__LE6(&8=V{Q=L zg!T|N+?55Vg-{etFsrY#hjk9-3(lMbmllRB#?j35o$N0(xRaXJ?YXuV z6qABQL=`Gda-NA_IHw`;Mh)J1NQ@N0eqW><2FKEIp;dtL$V;P2CvW^qrOAr_>gS!_ ziV{1HoUbM4Ggjw_v3yts9;#2c^W6}(F|)n|!w5ab4Z(ZaH=lFaSl<7jAhP^F6+}iB zHje)w;eI7VPR9S>;+TF@dMxa0|7$Ss1ynwJa{)ABACIMt7UKH%!qP^Y8PEw#+`R^I zYyHi_!~Q4(sR-S!odlsY6qr3 z^bHM7es2K+abxet7Dgbz!{{tp|CSp}nJ8<33RkieezVvgNP%Iqy-Vxa!Lifh;}L!1 ziy{3Jb2@$*aQol20h9q``^VJqEA`>S0;5D(2l%;+`18ZbH`Y17L;v>WIJq)Af&gs; zVoMy0}4ZKeVK#c9=-}80L#WYcF zVQyYN|Gj+Y=R!o}dJRDD$wmgi1N{ft{|!FDp~vs_(+-1_c(Ql$HMN#yYznULORf3F z=v{8O#t+&5{N^AJ?9+}0w9{<`2vGSaPCGR`d;IVV{o%)~;^*xCCw9+I_|1>_?T1!; zV0h$Mj&(Wr{Rh7}zPdPibO-FF$i=~z55S}Ig&E*WPf2E1PmCI#rP;aut5?&)tnft$ z0W5v<(=94R7AfVLUx`%83^}rQ?H;}6do+1nJ`l_A5~z1?){hJ&98*2>*TInb8Yh5gOpGWV#Eq11>KdT#)J>~7l=DyG5P&FHT=qjJ z^lmo~zJGc)@c=&d(J=@E))(LxDI+jOG;XwXRltp1e);y+2wTY2Q{2H!fVA z>tBO6qMKu!;>TX@AvN-3WI_pTK9f+DlzIR-fHKDLJ z;cB)%_r7dlD(M>*BI;>F=ec8iNHrJ4!Q^>r$Qw_-4!0|}ts&N6Ka@f_SGxm$tCAue zZdRzzbXV0nxUra83%j(22_s*%-y?Yyc?4H`%|p0HIh@c!QAW~p5Msc-ws1|3k6p2N ztoEbT$x_hzPdE~q`z{{9q?QJ&PAuE8B9+MLFt5#U1jn!+=P9A+|su@RILd1d_&X6EH|q~Q`1$L`jK90JJ|cCz-=OldrRnQOFcuE^Y?t;JL3*hKJrKQ zs_F2jiTZg3fSlM(u^gbY>yk}!oCl0g6;Bw$WM%Rm#gscpSA}cL%nS8-YyF|)#kh~B zy~#>uwdZ(t3qeXR*SFCXcu`?bpm4F7%^%ooPdx+d0&t-0M)(qEXCEAB)rVo314 zhC6$Xszj8i9#(*`O@X8^XW6OhFoq<#!;bdZ*3s#}#-P@UNWEN-sY3^xfw`;j+8!`u zS*ez^jMg5KBwAtz&qklIKfy(Sg1p-8WM0_qCMSd+8R0Kk@MfsDdLm#%zElrjCf-)^ z_fwb8iqfbkao`l(TUj@O?LN8LHf0L&rEEI)c~CJF!OksFJVvgW4#|U_^F^a0)wmJ8RhmDxS89<+Qd)Gj`i5e;fh4P>m&Z3mvDKv>V1 zzxtjI`V}bRcqMEfXLb^{W9m5`CKNIqGP8G$vw$n&&0ZsW2p~_Blxe9=Tb~lgzPe69>kaC{$qP zBDk{{zlO(bk^)UxJp8 zs@hZ3dao5y%xIIWx+^9913_-_v@$Q&)%kFJOd><6*AB41{gfkyB(cfxQE!m+nDR$4 z?PMKMq!WkmKao&cPMQmoN0rCMu)`Nu5F)`?6RJZ7jfprsG?5aE=tD_33sNSg%+jFI zd$M=;OW17LtU}D)HTl;s06d(U%TsPp=ys1lhh($U>?sOcs_e+@T5nD%`k0dpDQ!#F zQy6d=O=_9F(4K4f-+bj3-)Q72sMmura-DRUgDBax??q0g8K;^&M2fYD%%d(}fc{d< z*2aO`=2(LasK}eDlYkKo=aEmp?Wf2BRG9Pc#6{_V@7HoOncx{~yBbk|| zbU=v*i}atstLbpPSTmN+v+*Viay2Bg@jb!?gc4QMc%!W&>R~REQ3}*Ax~x{;REt5a zGuDN0@uzYV0cb1|Kx8o}bhs2Cw4tNo27UC$vw&v%iPO z=?8Cb)j9u0N^i5ftgyIuK!8{)r4I%1RSIGmh#;+bn6Om@!t14l{3w5Q862I~{=!k# zTPi%t%HArom(V;Y3X}Cdcgi zAr<^Vma-YFkF}rnsPwQBXDU#C9{!Q>^smz8#^uwR7Qj-G=PKb`wDrxY>C1df${7b z9miTkSGRW#Cs6xMPMfEK`AKn1m;q>eaX<}}A?`1;FKf$q!7-&4z38c)T$C)Oppbg%r%Ij^D)!g zB#^EH<01y_9xb|Gdmpyn=mna{F4pN2N(xolv>~Y2t$y3mxU1c^wu>p6YdOWVa07ad z{+z+2l8!#3t5hBy9MW!%fr7dhxul9Qp88K z^?E>}%g#{8t4;NaA%CL+NZL>>B%a2JQB_99!B1UR}uBoJF5I zoQhl`u{x`2%~{t_9AilbDE>_BA(2(%6#HC`?DgNFR9f%Gh$vf|mHQS8O}>mt!nx1= zgIo9Idz=IYQl@9;oZ8eb#lTlI4DwPDttR2b=h}s~CDr3uO&YZIf+nFenRW{n zw^s&x?Snnp_K4noJQSD%q2L}>6+)KVfm^_D0_tTE(p?+${DDhG3q#M(Kz3ghUlc)< zvPj8{kXN{QdO0Wo8;ER z)@UwqcAHQ?C2T8I7%$ErIt$)g3KA3?crKY87!npF=>9ZNB9l{O%Nj7Hy1MrK)HQda z>xAh#^BjYvj%u(Md}>GR-lMBHDl}6Am{^PFIq|%UY9=%+&m>Wb)jmI5$vG9-%aPPP zN}YP;!H%%4RW*RE46MU(Y_Q|dvV_WI%BC?#QMLa0ilQ0Z3l6j*K6uNWM}sW$KL9=( zmS_-hPy;t;O+v|dwTL66eapj6v9-FyGo>cLf6Nq$h$yVELHhWpp`#1M>1{a@Pi%Tg zO`OkBl$@Rwow?1lqJo&>E$!i(D9uu$JN(L?wB;>1ebY7MOh7RGkqAu=9qSPG$`XPR zEMFSL$QBW(uuvenjY+XqQfHs47o%4@1VVe%$wM4fJUs0uMc>Xjcc*=HXZ7ZF*k=z{ z)HGe4*7s}EmBxDXIX0krv$;rpFRyz$KzwvVizIB0=-aVfJ2+dVe#~hOQ7;%nA;gHN zByq0)+5nB_y&XNo9xxZ^kXa+_ht&JjwI?b@P-1>1UE3_bN^||i$^DX}cqBu?h9S8z z-Fft^`4S7s-!8&$GCcs!!5gj#80v+!6yc^06>1c$(E!mg+t}47fUDiGJr?q6>WjV? zZ?iXhut7{n5ptONhbEzqxO>g%MzY)dms|PCn?A6SK#>~H`cn89?l)i@p2(ylk%sq- zJxGEC6sNk1FDEs$8tvQzmiCXjz41)~)Xc~ef54J=^?^;ducs+d-+q~#>o7Q<>jaOJhu^uB$&E-IprASxnpX0F(^3)uR@ zMml%%<-LfC{6%N!B>wDxK4XCDO@cs2S}eiWC~iCR;?A7++``Vv_if+m1L3MW}UmNtHn>SyO3uQLU&9Vaw3|Kg+% z0O??FQ+M$6`qvE>iD%z67-=|o)HfH1*m{bKraW^I|0f)-ci9_8-H0e{5uaj1mu0Ljn=3%4kb4#`eNA{RAgCqFP=ct{SrTGidthY%X&T zgP98H%8DbSXQvmGtZCvdd3ioPUOa0f^mr?PO2kAGn-ODS`f$Wd`-}EWn_MGH8tsk8 zpQIp%Dl%ijau;8OQALZMZ@!iE({BE9YD+ZcsN+SPlLU^aC7VxNfW4Kmb-1Ee03IYZ z6NwuVx`ejn;(vI`6Dh21=&SGa30(WySDq;-xr0BW)d7d6bNfdL7$~adwU=qgq{XHI zUQ>vJbwX_eN+vogE3+Z~9#4{F>FP!nSIT*NNm;C<^`l!hRoFnxIS-8nhz@MiSRm08 zs8B=__p+V0wkwh6Q-McA4e==v`t!R<6_qBp+)kDYrVkGl*+iWgX1*M`AtiFZI-M5- z96`LVb=dV`%y_G>B`wB@LV~r5lSn1bQ@)VT9Osnkn}z@LmFs!u+F@a4HG5$ZJ|lda zo=((^f{GV&&JLoK?Cyt-7KX#%`UXGVgssNv`9|y{TR6@L)IP6iy$AERf@?)KN>f-8 zoX_P>q7_Fz3a)!HD(<)tAnOGrLFAb#>)wj}GN`;oNvMwp#N?2=_i(S6Fh>)q8!eQX z482Rlx2CN$5>&Op1XCH57(kUY%e+jb#b74pe4J%xS(Mxy7}W)9qu*C1GyOPt75VrG z|AIsjiCBpbO^+@;(R_Z26+_aZ#i1~cO%<tP8Qrrcyc_A12st4CJ{?I}wChg=%yE=HR3&l7%cF1ebQ^52NHU#pmH5r?JeBsu zcc*HLC+%9vY^-m-1xEo6e8kq)qmU>~IznFs5?>AQesI=YTtVXx?+hSSq@CymeU#$hW?`o!g>TB zfbF>>9dN)IjEb*xG)LQmOCN8Io?iseZ}NTD*m6?Af(NYU!G0KhPUStl@{k@*(c#`> z=gwVceq2oWU4kRG8x7q_bYT60PjzV3YiMxp!=S78M{j%4Rj$R4f2hn3U>Y*82#^R+_`{MOQxi~{s2k3jAOCL{p#->8W$m?TFzH9uI66v)>0 z*yfkN{}d%f5kuKt|9Wb4s`af=rMtFQ8&IEiVv%_r8^m#XXPho4zvjKC&ABK?OLPgn zC{yadg#IoVwNx~FBOWG{!Whnfy~N1KM~T#Nh1RH3+EBCk{4mP&SuOsfCDgJK3Vj_< zqMX&>(by&^?4@_|{8A`EBHv*b6txMaB|P^@Pzwjg#t**;_t@;e_nVc@UyWyIYFu#4 zQq>X}Ksw%8?;nJt8q~{4e6^EiDv>4(8M5-|Z5S9bL!SwXIa{mzx)QeKbcalBIl&u;@5*P_T)Kb%mV-YtX)D_7%*nD<8`50kJqk*&-~2DgNBuWt49-iB}J6fJZ#T zhUcc{w$SzA6YGo2lvx>6b(DxejhI!6FEd!fcj?*4 zyW8U}K%apSlF-o#OoX9vMmu-PytsZWxmRnt5;YF*6y4zNPUZYaa}yKb5);}{dY8Qx zK=MnsvF!&XPeG4mIqppvLz^8o`z$LZH(aGMTv5nXq%vwwGI=01%TQMr4LHCa zXo>gD{&|*z>v*Xe1vA5e{_D!xWD3zB8g*_G z8p6o}Zt0_PPT^UoAD=Y`g>$$z2Pt!yo>aKMrs5X98J<8n-w!%>ldocE*Muc%B=v?_+~p<$Dp=|F3R|`uX@w3BlZY&+kSBB!FS<-33$v-!f#QCOu}JS8 zh>n;}b6lEW`Y@1bJ5Tbg*&obhq@wq5)rao5kvdKvgsn3T*Q=mOhg*so_dXedcvr0( ze}68j<6--6Z$I#YeyGX7^0^|v!xH4N3Z!}nz)(OmD`^Mp!?b`MSVLT5_MB!B((YtJ zK740!45$B0N{;MyA0V$=w`0RoCA$6(E??84##U>gt-)&3d54pVaH_8F_Buxn=hA4% zn^^|*P6{V=A!MKwb<#c`cTaEsA93*ip3eRRP zh&KoU@_Ot<_h9K_;ah05-nS3@c@4lmc5WvTYZ`eGodHIpwL7!XPvcYjV^t42e)?hIA$}b;c8kGRdI##5 z<8Y{;(ru*9xZWl3UYJ;Olb3)p-hlw+7dkTW5T1u-#)1Eq5o$T<3)f1W4jLGPnq>J7v%SH72<9+TI z^^(MjGEJrR>}fr5uYMaQ|80qJ^NUaq%#k)Qh+3U%bO9S;wu5D1N-7)Hk7W+I6E0`7 zB6M0ZFhohVdSk^N)1a7CpF{`au4_I!LuFlj>g)dH7&uF<%MBYuA8*u03SQ4TS}es} zGpW#wWZdwlY#lhbwgGiO?n+seyr1}>C~{zCAuQ3G0Uy#fMM@lpmuSkx zddH)L6X}<*nxVg^YJdWLMsRO%GC`xG>;uEAzuohl!dW5JzE#2U6D7zMWbBk;RT?xg z;a1daSARO$F)cw7Xzy>^HoPm=J?Eb}>T(KQ8LCepkQFnzu0EQT@2vUn`|uT=cRFfl zXSoZ)cWfew8fMR*$d;!}L0p0fq5jL$y0js*iaiNHaQf6d1Ty|tUwrX+-yerAE_HV4 z!&NX=Hpg$RKQ_StVa+8z1d5i~V+`MGRFO1~qeofKG9vN5b=oTsZ8;*mcq4Mr0O2|x z_J_~v`Z9}P%{byGB;^0B;9O?L_1Ta}JsUEhhq#Py6e|j)kG{w(7A$?Z} z^6H@*(zgt(7nDdxcfS%|x*KPk_r!oPFkBP!w)gz#O8jpAimsbUdl1aoa>2(3Y;x-; zF)LLbI0bZY6OC%!$`7HZekc5kkBl-CeRhj*E$8_ZNLgDfb9hI2Q^`0G=3|*%#;=6C z$Chni8?decaTy=A`*Wq8xBbY=%C?gE;6T{w2^eHWqxSOPQb9Dk{hv3ua<#U0G7$y7 zjFabM!H*b-w}tSG|J-P~E%wapTjz=}HUFa=%lk17V8G$=;2e;f>}+X_nlsT}RBDe| zto!_t3z9O}V#J8Ld>gP0jjp5|za{WrvgI96GQ_4d*w&2WsI0Q7cUA_|k1%)-EQkUOLj+(A%udfEKi(}rCx1g=B7`BeP9n8F$1?;i^DyH5xl{swQ2*m5aE2Z265vdh)^ zK$d50ZfDs|duab_=lmP0Lyu}c-iWGgMi?}W1P!k9K~SR1&p88ymjB+JkRjl%*HjEp9H>r4|DS zA}esozg~H*7b8iSXNDBgdDwZGakYA&to+AW9;ybGomO|xiQ++dwe{LwGMpW8%>PhB zhU|N_Y@IF-Fci_qB&rGW9oev$U;_iG%tM^6{PP z{&fs5QK1UGFG=QaUfa}B8L6LehrG#`ZN^%2#|{LnC3_S^J)5~LR*Dl2Ae}1~u@Sot z2a~ry(tf)p>kTav!o??uPqH<+a@@(_U$1_qyg@jA(kg>No>hjS{^aO(d1+8RHTn=| zbJ~yrPf%nJ#oO6UQy+dXw^)*$6_K|Pld7MV38MoP!Sv4C^nJ7b065f)54%nzq%#0v zmZ~!U>XDt|mvXN9Gp;ymk_nxi}4RnMsyL|{<%04 z%s3T07R~pQqDy@dOTt_w*SK&hYsCY)HiH}GcLnK+f*6UI&AU%RD7@Xmk=^TXWona; z*KPF>N5I0oKb%$bIpSOjJXqq%@2CBi|RhWQG*aT;lmL%QVr? zu?w2!GNL8N|7P%Q(512U!RS<5q?FZvNGdoOH}2?+y_7M9Yb1x(q0VUW8>+GBC)?Mp zs3$jJauYdgL%m4jeww`@7nr1_*$*7Gib9ZS2C&-6jgMFvp{KA_sx7gTec%d>32#jBv9ESDL_dHC&dsaIe9a2S4Io?%@7uINg>q~ z%wVjZroLiB&m{4WVuPMryuhf-UNI2;EwdDPRg+fYLF@~ut=7|`0CT}W5~P6w8e?JT zg2YX3Nebo@Dxfz6 z$v_CbZ#+mu(r<9+xKbv>eKZw)YS73I@_mxuobXQ0UZezc)9f10GNjbNr&#_2q%k9| zzPA!tQIw$CZ?K5T7sKHvB7Nrf!GN7S8i3!w1(4D@h~GQu<$EI&tYy9i5|VJH+*lx{ zsVCX%Im#w20qebrKax;a-RX%czVq9l^|yWJ8FWEK8F&?vYvr_F7jZVo$0Lo~0@LFT zgr{o>90L}}2H#YK}Y>mc(D}b)tkQd57ulCgYCu1#mhpgUge@NQ6CPXk* zf*!`RXF*IO18`AkmDDoy?~LZ*%NY_`)x z5S56GI~P*ErUtRLG7;j)L_1s<5!jO2qg2`Ga_C97!3s*&r9j(LPXMvrddF<@Unz~V>*HE1+SciY~P#odkk5N(F zJrl?S$znN}!c9qT2x)xvo~PN4532y03RXqAtQq1E3aig}m!ovi!hTSx(9r9|mZ9un zuY!3y_)|iU(5p5{m9)TX9e2c0plqU`E{b}ty;@CbbeO!OrEz1(AJ6Lo-0di3jq8|c z==1$R!d{Es1h`Zcq(|Uv5?z{qu2TAt0Ziiwgd8TTu8qE)S$k9f&fv=z^uIe~7Rz{Qne(?gF~Hbq@rrdU`w{91lxO{&JF=SEr%_VrrVf&fg6TR zoVK=kauStYXsL?h!QA|FS04GHV_S?7P*b2_ETu1Eu<9Es3<2c|WnK{rcK|KXzy z3o1ek`N7*Kq%J1|h0zlokBB~&2R&O$XG5#_6T(LK&m(XePY*HrksE9{6f}RK#Kjvq zicc+8YCGa!@t^dLBkF$$rVuZ{PI~zQ1=lIuzC}^VLGBVV-B~4!VADW(O(StA$TCwA zk>y(wuJ|WA zAPWXQN~Vu{QT@u_=o<W8WzzP10$&cT-H- zENFn2F9^Ld@x#5}--C6sdt}fB3iJ`t&)M*F?uF>(9cpgFc>m(Y=LXOz7Bh}dQEDaK zRxTgt_+C%na@y}}gM{7Co3eMIwIhPyr!Cdqgu=^!LimzGxPR$~mt5FcBTy|7ljwfS zPPWQic^2je?2)D#rk>9P2H}Iux~T2c6W3RPG@_{^t}&Zwn#73hl71WIRvNuJvYYQz zRarGhjW((P_~r0&{l@ARGHT%Q#Cp3TZ4KpO_4W8Bi}84|*U$?B@w!iDt*%2#_=ybc zgks}g^qFtT=wq346}n3xXYa-5uMtuM*vg{WNxQ<^8eB`LOI8>dif0Ye@5}0~Sg{&5 zQ{gxV>hk9ngeE)L9hozQjIpVsr^GfzrmrWEJ^pLTMJNYhH0CutYk3d1I|yoDtCSDvX0E!%=#UlWm?N_4ypFw1vmrng60on5j6Ix;{?T@cfx_bY-*HCx!$7Zo+M( zmS$%uAVJk8#Ejm`Bs%&tZu+9PHVxBpjqAc^=K!cnRPF%>#T4yV$5l5j=b4jwhW4XnLY{ zE`@icrk2LwRW98m!=KaJWEwP!D%>!5kJzmJWiwivK9 z2+B+nH0e#WuD8%c(O;vCv#1xGf)cK?>d-+0XiQ1oSDex&1>ko>UD?qgf4-$?Dd4l% zIOo5sjM(%c5j9!eqFy(58k%b@`#Y3AnUg9givKsp4=z5=PL`Dw!of;r%%Qfo3hu(OFh%>c9> zF`Y^s)J1&U1j_2|9cmq$`&{s}6raSbYfnC@@%G9E@u1$3Zc81~^fiwo9Lbb|ft^vL_Mw1` zYPI&Wgyd5cwkfuU?eyiG7*sI^6f}n5Q$q6vUb@rOBolZ%Sa%vra=IRy6@S3zteU8* zQrYNGi&C}QB5bC@ZT^eObWBWlpAp#?mZMZenZUJk6NZ|*?*%b%Na()^83L*h$o0_H zsynZaT4yTu<|{2pxy*(mTu@kD5Tun^XU+c6J4#^Lv6^>){9cZ*k#nU9@Mhkz(H5^k z+m{Ity6G%o-@AW(#8{nfwlymHq5w*ZgN8ro7{a}8-Izha?Q(~qDI0gdT>&nsoY*XZ zB@Ze*w8^5*DBzap4xqbSFK$w^(AAA$Rk@60P~^*HUj?DIRrFFLh)Q=t9AA4N_{KFeQ_&py@g8&miYl-IilkfmB;C`2l-hx zu({EgBjyg)rF|n8k+3D3v@HzMSMpH*j-8vyCsu+*%m0Pn2REr@7=u@Z`!v%LdWDC+ z^$*SIX{MP5+4$z9yL5)(jQbXcW;Is)9#>IOJ|qQ;FYv5QF(p)yf|ELI$uYw6i;~qm zk7B{*`>+oXFQ22Flt^g1ia1Mza#{ZoViXGSK-B&;vs3u~iM$3p6m>6y+X7RCcHr4Y zL|C7{miie7qN;t)Gyz#`^=<_l897KIImrX?oIPBID=k8J%CIrKcEo<3U3(-ti7R2c zO6#&PQ3x4>Gf;^s2D#!ekZD^Z()*NWx-8_8A zZOWu7gc?&-U%xP7)^8fYoB`jw8w9p0AwPWaD)Ekp5K&?6v9AXa@&EZ`fC@#RKaq0Y z^P?z)wkG0VTrlQM=JC@P=}(7XLQy&GF&RlX4z|M z1Ux55LRBRiCv!;gU>$%~A87cY&UYVo5L6ZlfzfR=N%5ZX`*B@?6|ie=Zb5s{(ZPc7Yc_Eni;Pycri7{ zXDNCPmsXLLX*2!=GQ$^)KG6%4;begSlgc2vN`$jb zpE~qx`778PVG^yfbqZiOn8HoqdnK1?}Wwrl@8{!MF}5n>vP2^!Hx&RWZ;Ory5}FUCddTIYM|eBHF* z5Dij#8xxTndMBoD9W+L`648jIkrLgUjs3{(vb`ZE1iLH0k5 z%7(Xu2&T9{`TUYeW!!>mJ;h4@1R# zV5nHsie3g5*M(DGjb_)Y;xZQpeW`|j2{b=BJgiv>FE|emt$}5MNBkEB*vA$c^NC7~ zuL0VeY4a+BMAS7Gf^&Vr&MANkiIoZp%lAIK&YTQ5A>6%3wXyA!oswc^$rWjAqsI2> z6qN^&=oRcWSd(klq;S=&)8PD(ImCHg_%}SwpvSuh`FfMktuN{vi4IRrCaTQ3P5o}m zb)rT`AXbS8}?xb&uVnj_~#> z9X&?jbcB%pRq@FMwC)Sq-$=K{UqE$$X%4qJ7ZOvu%zGg9QnC*mjI37+YMybG07>3( z2~(Tu3d1TCO7>`em}*`rDx|AD1{y5{cKbTpVTDMPE-vCvtd{_`+mi%MDl&tCla5-z zZSQJdBxm}1o?!c21^-nh@nki@l#W=%1q{4Z+!9_6-%$QA*DDM)&u?!YJf{Hi?FCA& z$edtOrBllWPqj_r0Se#X_tri=eNv5NgLJsmUMK6xj$3g+Yvg3^Iq3bf|EXIy>ab<>4SlKH z4T9t~O;2Yhhh!*+g@k}VmlO7Y5W$W9Gy~Uoz})c^#k`#9y=PBauAISjY5TFIp`qOU z!Tm-Tg~e}`wlv%bNJ&<~gbhw8pZc}1gc}Oa36#y!Sf1K@^D0?gz~I0~oh_I8>QhRc z-cUMTLmK7Z*HVj??}I&bXH9uGT?ot@_e={PZ%g_NDvW!@K|eHyl$m zzt@B}rXBYl**QqhXuetR++N6-Z`8s|d5#$~lfp=!1)^1NPI#g(S!i?ITHNfGE*- zoFB7PsT$EhCY#6L71wWef+y_uaa@DY3nq!&(Bn44@n}zaCXTwD1lVht*S&4NXH4Me3&_sJj@IrP4dZc^QzC!$r@qX#aAzCvJlpX#gYl zZ?B15=7P?}Q{W4!Rm{g3v}tG6OU-sjlEu~hFR4L66#A@48l+r>i_ zoj|XPFM4P0@{p%{6EO;9mOo9@zI&&af-z-}9tQb9s`6~wwiU!hijf=K8~vDbQCdyw zI7_MJ9fnegwmaR9X^4D=tn0JB9uH2r^%#^LS_>z&E|e%C%hCgFMR+tNVO{yE=e0t{ zE}Joz>kgPR88gRW4N=y*k5H9h7aF=2+GIn{oxTyKU^2=j-dm7x`jhzPR5aWjr) zV}9)Eu@|ZmpfStm&i>rmyoYnve_KHhflb`=(C@AYs!bnRZxPjG;tH8QGt`L+DKfXFkAALwtvkvs!XQ^v5 zt#E3=$cD9%S;T!=dpX(*1rba-G^?=aOR0kOTFx@YIATz`Xr%rS!%98b#m;2&9I#K$ zDQJjM5;QC~!CQV*ZUq|Xatj~w%`*#fU9~B-`$4yuUYq)xoey0r37-Qj#}(?-@?Km( zn!2ySAzaBRjArn@No2ylxW^61>*shf>!dcG6q#kd$|LsX2g?y;F_G91w4IW;2GjhK zLsA{2nt&Ism%?6f%^6tNz&N}K{0f1<(zto$9E^LCm+Ldzi>dgG!TQhyQj+LM*noBr z_y)WON;_}SoOi$?rq%I&MD6bkGxz#EgQwnRJ#Ds^qlH5jGp+IV7R;GHFi8*!h=n0l zin*PxHNKEdjJ&l|zu|FglZ8htR&-$R{@rNxJyLDxuX;ZMWxZq$@Vtkxd^q$@`m~IW z+}CS2o&FMX%C4bh7!y1%e8oZ?ol6QrxZYju%bfqfHx_9RdPgDCi?^sDXh;%pNCBtt z=;KToxt2A#hsgcJyB(^8tD~jNqYRaJ);e+0UHEU#sum%$8h_m)*79*WK6N+OVjdb!l;w zXm{WR!Ttro!a;rx|IUDla&!Q2WHit}BjN4s(*@?}$98N8X(YfWfFk`TKWO|oAb{OI{%{zBa0?aK(_ zc*x5eAU;mheY$|%vEBd*8X6V@dlvvIZs3rY;DJEU{N`xkpED7$_~`x62jC(3K0igk zb%9WrG08{>_b)G~pdDV|MDnwe-hlvif&gE$a@pZo{20A%FQf9Mw%(L{~r0|DT%zo5VaJ@9QG1a$Gqp`Xq{ z@4B4e`K4BX0Xi}6ZtuCV737IGh1P)}KUoUL>loSEsv*Fth_-hK?3=+B>VBB>$-|Fk zT0XhUPI<-0Z}ZRTUT1&-eZ_$h_nn!5i2*KwJKl*N9sxWA0L+ugi2HB-zL#{r5-0{s1ds|}$8e|A9b@|1Pjk^bO+ zmThEdeW(rT`rYQe+S%Lz{xqc$9ELW-1Kjdq`++9|bMA5r|Mq44aQ*9Aywg+p(Zl|| z4Q=K&sNXZ#-MjxKf_4lW^!@?ewqHf^8S(=fj)C0&g=q==TBrsDhJJSby)CE3bS?r? zX=l3HTLXWd4>ZKrHzMC$IDymnd86@-fCdc_iblYl*V9Ask0*zJ(`&#o;pp7)=HRwP zf9C@3K$!Kzt$=V7_V=TZmR5uW5G>&574F9({MW?z=S$eG7(7(p*9je;5LztXP7#3Z z2m~M-p1e>GDoN;Fn!<5FZ=QWQb=dQj-BSV^Ap`?+b97% z^l*Z?E#?6^-l-nXXw{a zCh2X%B=?qFUtJ9haDoj5={4UM-F1@m7~5uq>E04-bc(l1&8-=MF)E|l#?$Zn`X1vt zOdCp?W59-!FXw`94W=)SnbABB5?R0*TZ3{Z`|tekvzXU9d8TT(}kJ-i97#Xkk@oa zj~jItxkat_7zAz1uF4ekmolJif){5Ym=h zm|ZH2iNGAaIT=iq?gMUj46(K+`*{Zk_k_*{k>h<^CTzP9JjldLXOX^xO9S@ z3Ll=m2=cmX7GLz|-2@|6!+a~JWuU8B{ji+Lm38#Oc9o^n%sK(;{-@+t-n5ZN;noz0 zIEGjv7P6{*mF|Uf_xasc+aoFlJ=bSduRgW~4dvf7mdk&-VXKu(H4sJ)WRhS`V2Jy( z8TN##qTJ@qTeTDBRB|G<=fcA}ccMtx8r>caY#*O?D=lhZW%ycqRwW`LhG3o|&v>)s z@;)vNbh-&+vaNY39}+d!x){8<-!4=I@%0uxJ7#@e#&SbVCHoA5+p!~9Y|au{wR|1U zQ!C9JiC>ht@7-&=fUScC9C^^hwg+flxLr)VA}!k*l!JLnowZqCVP8`e7}loh0a$VL zWUt*GWk60~Ae|4>uRlO2+xL9o9)4I8a$Vv15N@g1?txf|tj$p(&bX7)#8o(lh{&JD zS6c_jd4cU4?B6-|_G%=tx^%0|IlO<3e#*vlw51QMAa}V7L2w7cTthK+M`Rj2jyVQ5 zePB%QV5ft2Zb>GZdy_W!f}Lh^OVP0#?nS7{yKQ2>Z=RRj7fHf}1eDW;#(js38j5@D z#Q!dDG?lttV_g@atbqVB`wnloNID+u#&NyhjHY;_=SH;v+cHq_ffX+`LuoMYT&$CD z2w*?0%ANV322D1EU55hG!AZPoSf$W3O_H6{BW=7A?BQg@&z}vwihD9nv@VtK^(wGV z?3d1@_Fs6-vyG(rsu1?0U)wH@36W5>a8^;p=m95g>@SQDVDwG7;;DD@Z6~_W-kCsm zn^(2wi1IjydC+fkKp!tPSABHbZrk>B3_?YQn)O$q=q7b-z1U zuW|N2J*GeIhh8OJzHXh{q>q5a(0PT>$Pr7vhcWgcZ9Qc89fl=2>=MopUFQbSqIA0= zLbhwYAnnnNx4ozT7#1Ow?3S?fbgz4^c=vX@VWcFm`UJmS(^WL7Qx|%n_#M7qjV?&x zF5%~0x1^tHWw&C>JHY+n+MKLF6mnk-R&CT%h`~2xNr%a zu1}{rk@2E#=+&qOz9w%P${oX)?!iWLDrMZ%gfE3Fd#s zH+>J++`LKBa@~zG;(1Stbqj~?%Dczg&4^kuz46s;WIW5u;a-`-G*NK8X4h=dZWj4y z#b!lm&m?3yNF)g{6C!7A+kWHaOGvpMh)f$%SS3>rYv4o6JJE-#_|)B!Hlc+gDIs(N z3qOC9+9c|E(~XO!_ewoX=scF@&U@?U_*W0V6ko_*(Hq)*;N0>AY@xQJBpRsSIi6nt z-QYZ$_l$peKE+6z_!k<*0>UuGiaL`Hv3p_~XE1Vo53tA@)&q%_dpr%v>QB0I-NGjz zg3F|w7hZf08LQ}b1di#`$1URjgKwu7(Mr+n&Z^pOy z7ibpe^en6&v3{?_c|*12)*IuoXM}u7>-QyxfIyR9bejM)qdI08;{(8OleNO zCU1+Nr@R<(NxKH&j94{+t3`uByE2^-zctplx#EYs z5L4nS>(zGMT{&U~+Xn~GH(z$A(*b#gTWrTl_3o~yN9dY*6?(r>CeNM*hdl*TV#atq zwue;|R}-+#gd2R2)V&t(U?@UxQFM(VpM)Z{DqI{-R|&64xg6h#;Z++e-zfu6B#yCj zPXDBsbW|g{azD^h9U^f3i{f!~EvASlwycUEpWLb3sNKB&LU)RJgkAYE5h08ckq0N^ zu!aT9hkTKcPuFVB{YJ4Qg>6~MM(I;Ll(A0r@?c`@Rf##Q$0B-f zFWT?<{-~Yo;;`29AZuNkwB(|*>Ue3G+T%)WC2m)H7&h*|q33*R><|I58%zyFC=(YZ z^r+zmCia%8YWLR?HpZ$q<`=3nfY8R3$Zo^fgZ>8A^ z0!upaW1&wyWlj-fkPeqbjl%0$K?AE7X;Bt@Y5ALzOja;Z;#eW&;29Rq=oI3nCxq<~D+l=#Y^!A;MU>Xavoa_{ z;~7WN)g-x5_dO|s_e&a>yYuEeb%K(ko?y(@Q~aLkTcT7Zo}x5Ajpqw-de=fS`kR`I zp0X;zuMdE)-Ac!`$$z%GQV&S_gmr5w{VTlbbkNa{zHksWhZJF-5JEz8ks(^}`J#J~ z28G#@H2zS7!bBaX$RA~;NyHc_L`MuA)2ATstlz&LJS=AV(N@bAyycO#=`RZ_pZm3w zUq*dX_D<`j+iB5cw7t@NloKZ6gx!L=kst&G<_ApTOF2hQ%(Yrvj?iSKh`K`Fl;C(< zwpdk6hhnZF0NsFI=VB)Vh*BjVPTz|ebXyDxs*Yw5n#a)F$-^wXgML_fA)!hT)RCA$ z1A^dPV)6L3z0JL#|KqoO|w{{ex-vik&NKPFjoueDJ>dw6n!1- zhAXKT@6{tkD1vOUr|W9J8meOe!Y*o%`yd?7<0v0>9w`<9R2bMo>?N!X9waYd)6wT; zV5Kp!o@Uj<%cC`!Sj43X!eauxsuE9@GIl7H72(m5nm`;yq#>?qp5MX2=ajBt?1@W1 z&)-4I0MWbV#GIqV6Qv43$^6qGz~=pVIZH~=-n4lnZE^hm@S2|$<6h$ILk=WmQJIHG zKPP-@oTfjw$_9TIz54_|z6+I-04WcCKCu{bMJ1=__aJo)D!IyGhd-3mo;S=(m!WF^YQmPq#dw%kH{b zV3>Cr$}c)l!dl zcIMAi0AN||`aJMVMwWOj#yhv#20PoOl6{y>nQZ{*qt1YxEsAZwLm+aL)tfj zVUrwz-Zc!LZZCqTlvjWK-oSTcsX`I}MVz!MosJJ-pfL1+>rD zV#!NhuRJC&Y;IJGq(hkoTvX^Y7@)b4GNMv=>oSv<1FkuE!(uDQsB4s9c7>MdAUDr( zdvziP(1=bQSK%D7e<|Mp=BXa8bW&cD^i$^xOI>g=|94Cs4i0TCSiG+*Xw%o;kZ zS86uGj!K5g4gsz}-7mGJ7~G`&&z1 z&dP<-!#=96SF{Ff8%j(b$r7_F%1_|;a}MNUN^hfR!jm+WSm8bwRv|@G;ybSdOL~qT> zh&2a*epGK88MlA@?vMRUOpo2d3>l#9Z(<(FDZe$~p^zFBkW zqe|`~Ox*2Nb6!X1P&lDsnE-HDrVbHzl;0Rhbo>f_Yr#`$4RKA| zf1tLM3Nl3HCY8CqjoS~7#Ea8D7d?4!*6uy*ynMfbTdt)ub(OLInC|Hx!}3U4OLf*bkPGf>}}o(Zha@V-Zll$rOW#bwC` zF9AnP;aGK%isnA>I7rQ4W-#q5_-MB3|0AcjTdnoc>YNpfA!3oO$}AtTlwwVpG;Ne5pXp_lM8fvc80* zvP0-eXqTt8z+$22%RzjJ+TT2now{KiDIs7e=M+%XR=Fe4SV`v8h(>frx4>n`oUohj z*f`12%vx2~x3Wj2^V|N8ia{5hzCCpe8T)Jn{8{`tJP?>cHa&5ezD`K;lak`s{fLU}J zjMiHTWxpaUD}==HHu|o0Z*(f8Ctm1c{-ZG=?6*MSt;Rn`JcVgG^Bhe*X zh2qA8Z_GlJCu+Np1DqOu*;C~{fXAk^^enhX+SEZe8??9Zu5R)Y(Up~?*3mhAc!#f| zKAgkVcsdS73E_%dKm^ooVgMpbDa%Boe!`SjVKdhf_0S#T z#jcoP1g4Y?i`;$EQxSbv!#8gG5ZPyJ2*jTu*#~HBm7uN|x!RM_k*L@*N%sJ1B8#Jor_Dz_FxQwi}l`Z_#u(L&#eo-X;`7YH`ZSFGx$fEdTD$wwsHcXMHMRorkV#J~KBI(ia)r#VM z{!J}dcQo&k? z;ni5?-__cCU2IJSCqLS=p(A!bHYDXF6s~Wf{P@^Mo5FR{W!}dS&Dy%P8XYiGt>%u9v%eXW6yj@|>O2?^ta7Q%mzTFmW1bq^LVx$bR5w2WR*312OITrOzdj$ma`Lc&b2NdtsjMvxz`Da@JFLDc^vy=4(@8gC-6Wl) z=A6^{<*o4_z`6DO@I-U+9rlu9I?3g-+Ebnr(g9(QS8`&^eaEM#HyD?l4|qjORa~fa zkZeUWKIW54;rsf@betShsM$YZY)`Y~N!J>roHP_ZbdHi4m0gy$6KXpA_S(tlm)u4s z@kg(k3}p-yb>6k2WdXJKP%~OSdA%V?Wt;ShcL1%@0(R`su8~6)Yzm!R02wMtbOL4}1A@~(dLY(Z)8zBytS4j z`1GDNx5rsc@QPTQEDmG>P@G`Hq{6zI{PhO`+lsN-7*?!H{#~SeSLX-~sM4N;2wCL$ zHFGbMncB(-GOqM75sOj1;In4Mj&S!rF_(s2!CDy1tA-)ZOR=VJNTnu16K8e-8+#-u zQ6u21#y=i+M2${)1Q=RqK=0P~VQ?{#aG6`SbpwTz%A4)If1X}AD8l4=#*7usGjrY0 zk9D%gD=&qZEEiJhVfTL+JEs^?q5#{rZQHhO+qP}n?%TF)+qP}HZ`;P)`IwhU-b^x| zmDKl1>a5ypY4_x3s2~wUK%mB3yuRlv$u)(fVgKq~54mGox2DFLkA=`{hTzaq8Yvg$ zkzU7Kw^Y_f!%5dAF@Q?7eq_fuzCQUV!tKMTbcXE|RPR3p8jWy0KKhz>5Uh(KYUiKv-(x_S-H9SDItz${27*o*8k0w1VSVdz1_8${fs z$3dPBtk8_<^>#F6z2%~j?!?N#u32@cm@dR~GMjzXB6aM8M0Tc5&-}c)eSjlD(l~@2 z%5;YhB8BCdq);c*eqxqKBT-Kj9nj~JgwHUEVeL){cW~k!24ROg+(N%t%G|UlM}g%N zY1U@ZA|+^ScV`}6FYnjt3hP~ErBYI0eS?H-8?>~FRyNU?c-u@lw=4pxa{NbnbBWh# zjk4D}WpG>1ulH>TRBvCy^1kXavY+MACzJR;3~eb$Lo(ymj?!4XzfS$P{g$q1~bcDnK}GQ{6d_+wa5vo`d zCgS0KxVw0=8g;3|2JLEVewLq`a055a0&n-?5!3I1CqN!1ilI<*G~08{Nk&mta?2ip zNhvd27B@VVpHpGHNGMqFl~{+CdpnC4H8F@aZqyUHsNeJ6`DlxUj(JFA8!n@;Nw4_89VKVHFUWNw0B+#eMrK9>SbbHoN5Q2G)$k)=Ln>jpCxjmoigN9C zS$(v1i(e}8@UOxQOZXf^XV;#rXw1?f*c9wI^;9*7r#M^=dLvMTY~A_xps7ZN)j6=u zF=sn9NmC>lvx3F`VN3hJoAQwiW^5ay~@@Ql!& zsZDJBM$!G5?eNm7$?C1BfhSNXYfD**JsVrZ$Sfv%uwLqRdHZGrb^ZWZUi#y=*-y$H zRWI)k@1unyy=l>3OkJg%m;>Ep_tXY1A{VnHB?8}dBXfqbrsn*hw(Tn#b*bxIx}i<( zZWDO;c2WO(%%9m2?l0uZ<(Lq^m%bpZ!@OX$(sek#A5ymnSc__gE05||5oo z_G7(%ezza@x>kEGwXJ*IUw3c)a_wQMlUnfRzVBEsK@cw}3q2|MfcKj+{5?;mY8L&eDlsE)!2<+dK1HiY_ z4#Ngi!pbuP5bStv z8_M;O9e<~QxlTkmXnTeUhBJGpNHyR1WInQK0_pad|@^{YzQ~iin5;BB%olZ-GsIQg`&mK_9mz+@@iz_y^=c z4}uzmV*w%oGzI7Dz4_f3$U^}9Jq3ik`@9YFmwNN@0nko|MKXYG2p_orosCrzzWNz2 zpXnOt1}r5&xqAc1*PrW?Kc%qQAljGX^Y8lAqpORI%?}&2;u_yVvc6Rcu_~s?=x0CaDxa~&ofhOd#VfL{oUjn(;wdd_rjVn2vh?C zz}OxDJ1}IRjRL>VuYLM2-22}AH}%vn;N9<)_{7k}-?o&aw0D1vfmsIfyuK@nZZ87G z^)-=v41iyGb>eaSPAefBL%i8vOI6VzMV$E1E$;76B*Pmi2K$H_HW*9bZ{QSuuV8%; z=b!5 zCPq(U8F-IXH}z++P2>~8N6!}jV*;!_9P91-sd%I&j_Tw+_GiI!>=V~9e2Y<5dUjn zqkp%7d~0nS-YuVkzS-38=E@$!I${%Kk8lj@+KOc-OY^tuEA?~QQd?e4I089!fQ4_2S4O7z(v{CXTB#S^pU ziN7b~b(c=T-0iO9W58%gCf;N6)i+31-nLs5)=IU$K%-QF=Tkl-QL;!WEp3u_lfZJaeDQeW2djQ(qEB2<_F5;Z>{wX#th+i zI7-{Vk8~Z6{%?@^Ymw!3f>eWDh1qYb*Uz2ks9h@he9RM^sOokxqP_9lhm9-`?-KN$ zUKxn^6u>K;)M=qEBhkkc-gNl;Xz%K8`i+;}+v;5U7`Cg1hDWv}JoJpv1-S$Rc0ME1 zomY*@k8G`uTVR+F&PXP?7H zH@l*U%J%*)E;r6zzM&*q>V6u}Ag@vtC9;V1h2Wm4RAbs`pcgQ6`#O$P?q&PS zqj4NE_t4<*oJNHg_Z3XF5Z}vDZ3V7`hN1(J*yO=o*vyW%@#di%L`c0KkZ8+n(Gq0o z>*{>#F|7*Z5&FHy8eS?iRr%csZzljc{j#OkUT<>OuvTFPjWF_ZZ4Mfj@=l!pSfI6izeMV8*G^ej+4d@105 zS7YpeaFUB-xs|4vqjRgIFnHKl#8Pl+G`(^gX^5ZQjdg=EBbafCWznqKbC8AnEAIF`!2)EdL-kTjiUi6)|Le$1eud0)^ggC&(M* zE8?ouh2mS(qq-aJXEZ=~Ea}m{jKFvTUAt@EcBptT{-pTW8IikyPnH`bHZKQKoa7DJ zx>o0W`HTGu(m+YppP8a9UnqUYnH|ziwK*_lvh6fKkW;U(82`Ma&uuj1_x9T{2of3#x$WO5SI{Oxf?FyC^mw} zFlsq)ji5Y?9VBGkk8C*#YKx?QeQwXcdK(J1bJkTGaF_RTQF5U_gXpMJShla)H`%gr zzozc6!(hve+Qx>i+YN8GoaF~k*69kZ?R|M4aaMh;&|++uQ_oTvV}n4%Ae3(zjExM# zk7nSj@hBT+ADs1aW5)?nD*Sy7o>I;9lx4udf1{pthH@Cv%c=4ualW5Xa6g z&&*C|jwS1FO5cp2CFj#tc2}?LV1{aQaqF!HEud_1_6RO@!Jo22EbHwLNW)m^sS~A7 z5^Yze4-A6+*RN(Da;24pA;3K{m>9s2F9)Fjc@{bN|0tR!vvEO`JlgS1aMdWJxlgf7 z9>EWL*;Q>HxAI}(?BPLkwUV%?xV}%H*E3P}XJs%~tdipC^E#qy;|oZdN?RJ#Itjw+N&9{$2P zjc#+f-PH_BYKMe9(i7z`@$3;^2}26~dB}AW?al>^?mR6ypOH60{edS>i|aY0r^-zv zirDp;(-g7xuv{iVkyS#nm{b|u4|C}yP%*BI#)#45h{;8qST);~yv%gLPI{g5SP~I2 zN-`CAIlc#in@e)0u>KAm1j+cM;1Z>7cniPZ?776MX%TIH5Z^gp{oxc{^ja<* zf`%WIl|x<>xva`!C^HKwV#}ZQ0~nN?@TgT^Rf+TtTFchwby?QE&(qU@W6aC8t{+Ww z^6>&ES6-`_Q4z!WZcaks3d+Y;(^#-(^%ps{wQy}vRp;CDayx1?d|>qX(ED~KT9SZv zX)-z!o`QCP*vUK+xgg`j#G^ZOz1U=0(t={);Nh!#jtZ-_NjDKCNXn83azD5vXE}64 zs~h?1=|V>_GZpEg1`hg;M7iSnEb^HJ-n;313)z`Dl({IbYvgF5ps-)ZEFUa``PE$b zWRi%nVAU6st2GYqIa9Hkr;5gkIKGx~@Hn=fJXSTBvBK=nL{Saf#a0_=b+OF73@29~ zyYH2{EF)2~m^)dJ1wq$`$k-hE){~1l>QD)rEF49Fq*ij9gb3XAURrWjxs48o{D^be zcPbv-K9Jw-^5Az+u~u?d!+<$>GGV(mOeY{jEKoNN`jG%3#hvz%%-zA1xcKa38}vQY z^oefZb=@}P!az#S3jfy;!S(tqU;2h-wiHj^yt=<&>( zi2|HB9t&!kIULBBaQZCUEdMRi7&L}M#fm!W8Qay`N>G>AFXQ@d!LxeLX>$ zYITXw@&u#+1>u4SE%i}r?OY<2065$I%(`PXI`6$flCNG|Pex~x1J=W@%eRfALq@eU z{nquB#gXa)lPkJlNKWA-*dBPHa%ci0G!XyZ^W9`jf^&|PiL$q&7rD%xjMzc*xWT*I z>upr5vgNL!>-XU8Nk!Q%!Fr2@71e7pt~K|$7%Q5v?zuttnH-jdHVPo|N>|g9td=^< z*78=)_nw?kFk#DQDDk~B?J*D)Tx1BVXFc|6=1afuk%yhJvLWj{gP0z{Z`-$B@(U(6@%d(dKx+4|7TMdOahXY1fA+~U zU_Gv_o!c5r6XZ{?{_a09sj~454zf97V1iJe%J%p}t(90J!oBS5LJ`GMe2H`IrD|v#gc)fp+dn4H>aci^9ihR|$Umn2 zJN3W5?^iS8)Q+Jn*y@Vvbo+T`@;aZvG%kr?r%OL^)}u>mYUi)1&{p8ngRWdVqT3<) zQ=4*nBuK2oMmfoFKcMOyPmvBm_AE=FQ2lG2LwVec{J=a$lz85Cx;200WTI*b|rM_Gyxb2s3B9 zXeGl!&ikt`d7IU1LL|<6T#^Uh!gD%1imfgb?O3)xymC89+9+3XPTC7~Lkv~y)83rV zH+`c;>pFxE;p(c`whEba^AF|`wI}RJ#`-MfsN`keQ3CSHx5tK zU>O^EGqXa4wl^k54i#+Cu1RWDrTYhhka5E+*f%4P0%w_I(YWt#DCq|OdKw?e0Zar& z=~1DMmAm3MrfOv~_}t6wG23^8{*FudI5ofTFM7n73_Sf)fT0?@>F3zbB`wyZwe3cA zmcE?H^B1`E#IGLNhD$G{7dd*@0-EfePd6bBeQKq*K7}4ZN8_+M22&6Hd3?fx%9<4k z$cd$$btTaVxoB(N1`3qtwrwt%%SH-IL(xNixyNiuLOk!`+#}2MOgU>);=OP{AS_H; zX1NCO7dP7JFx4!Q3A);L5xQ-29l9y7<9W3u3p_q42buuCQ7+#uQk}5M*>es5Q1~m8 zqgiHmHhQB@<@tOpSo^09Q0wst@fni13)=gHk8yYo>c}L|?JJ#_6CRcW$&aU9Mp6%} zsOlMrSR&PccW~8AanawTx>Q3Jr)`$}BsR0ntRM4RopxJchO}fR@Il7j zT4s+-xn8TGID_Ae>;(f`#}vI9EvRa{6ab_jjwU`WLui;Z<4f!-txe{GYzu*GD13C@ZjE53+at@e%;d7c3=HuYA>v8)xFHjP6~ry z;kDtX))=c-;|CEYW=m&>MX}PCz_?#;;Tr(FecU%oWbl)x3_9S-V&SBv8F9s;pP*W) z^Lyo7A@z|k0qZ-Z=tTAo;(MMe9w#;|T_Jp(S%j#Kc|^-cKSo4>8S%#%0-*Cl3B2sA z&8!;|Hm=hREFtu1(lB!sTdV$a^H7Di$Ps3E6CkCYKkW(UD;KxYC3 zV5a9;#;+W%fSgN9LtR-d`lu`{&TAhTI)>1__BI`Az}$LD8GXG_rgrEyo=x*jh zwSCx9sPqm>H`r!4ak@I}SK(}`a@wK!vF@$S_woZOqm zX4b*<-UnO#ZlDIS>`5BZ52wn^qvmtYuQ#=J9zS( zx}1O%GpC(^s0i=ceYgcmjTkY`#8=UfnlLjT3WJ zq0fbb2k$?o7l*+UuFV4++8@;@_B4ycPY!foHiHA_p&xCzY6(ttjyJ>==Tb zS>~IF93Jy?ZozXS9AOJ^b+{^|z%G|xERLkbhrSg6a}lb#=*;W@SajgGRTwbXZAL_d z?Yq=pXTsNAW5%|kbWOveuD8X~=o|$1(RFSOb=gj|TpNh&@6M58)Ru>xiHg7so0C%b z7zM_@fFHvwZYGf3MtxHwvKSn1By|qiYpnjIxwwiewJar7eOb(_)L6Ux2%i{hb zAkte@EWX(-2{!rsjBEihf`Av~6-k6Kkx6;F^ouEWWfMHwhc#9j04bCg!hBUUaWIZ} z*e9L>Ma+7Pb#ivzl#w^CL4RjFJ$xMG<=~yh9BF~qABfWmX$IpGhh7(aWaeWt?=%`O zFCm|YhWMOmTG6+JT*m6E_@c1NWG}H)`8`?~X+_2$(i{~Lws#hT;>oU8N?Yh%;mqGe zb^M2G;iL#4D$2U*k=F&8IUz4@dNS`nZa}5YD-aCj$lHH<#VO`iNr?XGQIC;@&p0iU zN@DjlH+}oUgGXH0Cer(FDCg1tM$Gtj0bBmj{C%x^&_2q$GF;|`e*cLu0QX%R0_Nt6 z7oo3`V)b+QXiyfVW4FASMn$Rw(STa>JT&!FB1I0@{wDlt&$ur)U=1kU?w(`X_}e21 zc?P<)Xi`L^Sg&Dae3t6=NN)N$6m-XCL!G@1zv<(LA2eY}x!;jMU*?>Q_Er77wcEC7 z$glsK*+uGIeD#;ZBD{_8XqL0@L@sSiWiSIvdR)B&zsg%>ljty6 z9iIn9-NkAkHLP2jOeR-FIP&g7-aPUK2@QUnqssk+{jbROZZ|=&OtzJ`P4bk~N%X;N ziGieU*%(XDp|p@EGezy8aD5<#f#vFM?5^4Dm{8W3-b&8*Yrp~-YC%Q?|WB8YsS z<#$hDV4+mBDD_RPRXD3I{I^8w0~vr;)t6R_#|t)mOe{)-y!oL({m041iBji(N<e$}DRP0i`z`2XVV zxPl`<5v!9aQ)EkX!h!T-L5BKyI-d`7a`^mz;6>{i#(x|Zm?$qc-$-=yt4!wZLTc~( z%b!z@^{DLu+=gP{UPX@7$iMG4Hm>HvRH+)Ma<3dO2BJs0z7p!zLfh`4#KyhR^Q~jlobiWkiRJv~eA@VI2Mrgh50=J88%7ZQIPZ)E_kWIl zfk;>GkpF*-$j0!0#)vE||FtarPmIXP_+L-|cBYJ+O#drJbO%*Iw%KEk2}ow4`eTQ& zqq_(z1z`-6-VbKnFXkTX0*QpQNT@_qAQ91=TrAiY5HigD?Dy|`Ebo^4>~nT@qt<`y z`BV4oPw>dRh`tWo`q=zlkX-2#{z5Cx=Xdg!(u>En_$*$N^;N zkjYP)E-D}(AtM(n0@6__csO8lj}G8qA%GzyrlBO}zlkXjh}7>GVr)EMd0=+|900Fi z02>b2J;|v;Xjc)U0=YR!>7;)wfE@$8fQFV<;;%c0zy@qkK#(9q03O6&7{?(MkYF7^ zG6x2fAdz2c(6(%5q`!2;B*#Zb#1Kx8C?UkzC?0QsdrvT|(!o0ubviq?T_y|Bi{S-O{1`yN8$ortq0R#Z)n*hkPx&eXQATMK@uW`Wq z`*kY-A)ukZa>$$o+^HP=FW~=TJn75`F*>r*~6`#}|-e z!@=Ex3hME^qX+Is1OZ`?Pe2Ye0wF~nGf^x&g9M4ayJ&}jn&c>0LcO?^BJ)O&s|@_!5w z4g`p_q!g07L+nFdg5BUp}54BtXPN z5a{ct?O+e7p`M{15K0W_icn4g*uyVVlepKtXv0gTL@= z9nCL%z^^+$mR@abU(I&k^lv!oF_^39uj$zS3UuT^FCNYiz`B2zmcY-vD*Pe9v(u-2 z6&g~=K>*YA#Pcnw5HIV$k!~;{3Z&c5e=@|Te+)5nkRZ%K{=5zxlz;#RI009Ca6T^7~LlS47{7*pvFvv6Z005yN22La- zpus3K0LLKWaNmux5C#Fr{oSAqZqZK-ViFjHAzo#lsf;OMG5lBCSKXokJqVC+_uhQ} z(=+}%`xGGp3Wy93Hz@d27{3*SJ%5dI?=^8f6Ak}BgHgf=@jiRB$F-}RSo*AT7ItUI zTR}G8U6|2N71wLSBKfIwU(Kr6V0o)bkvji3y-iZgn3^8q+@HmlSQLB8J`eY_^Vooj z#me83@IKE7Xgg}RGB)wR@HCVRL&TK|`8cwRk*=r?_ylEYv8om%E)sOqBOpk#`&B|y zd`_tAN3y?~knuq7_IJCR;tBpdKa7sl{>Pb`+!=8k2Hb+p!*foWB=_k_e1x{%fEF%LYxkMMtk@bK_+7_=tiKUzJ(wO5e>`wAV znd5d4+oJ}5|HXDLfCac0qz(Ui@d?Pal$RxVY*#shqfx_%B|O(4)IECB*w2o%mL_kd)uhN36Sol3#d5!qLXl_Z6yQkM<2n^HprB z)6G74(RhzM9;Mr*V+KR_Z1qfLVc|KK#@^Cyti`=ljeR$rscVbyIin;0@hy41 z2P*+K?t_Eh0G8}ld%QAbr7CWRWyRZnlUJ_Fa460{sUylUpb;ZX#Z)ZPl)t2c$)77C z_ODjsm+u_I?*L0|=AM<%XlY62&Uc#RuD|Nu#=`1c(MSL#)R>%uhsvCWf0l?tgCg-5 zHZ7s+7I5+IAB*hMFXQ64j)1vgE6FEcq0kPe03WX0EgS9G8cs$rmHR6se9b~kfTHKx zY+21R%X4|_We`__MYPO!h^XS~jS-R`RrP$Dhi{h@H ziQ6{yz`aroyg7oX78US@pZ6?*B%Si@3fFywIkW{Ngu zG(nf!Xu-~!=#EORkZ6+gOzAlgGnRKaP{mBn=N?EK%3<1&X66U~U=Va`tEiO|2D)Mj zFBM~haji#|cJzGlx9Ja3@gknPfA4J*VN>77pavU~W)8D(Ue=`fQL;{(r0IKt7r|lF z6VlCJ<%CW<6STpkEgDqyCHScC!Y_p7vzmYl*>lWp^i4ZxZ+`3u)I?nL{`xT=UVIeu zplQ##40LKuS7)8F96ctj;vvR5t>?cmDCLqzWLG5^SYqsyXhRu>O)W2!RjY>QTErf^ zJGMzt^&?kmv>ndU10uqH?7&^}k*+nZzy&D!X_A4RKALOa>DC&L`JPN;!`X)(*DAfI z-qa2CZ*5k@JkH!lagd3?Y(vLLdJi_v?fT>ujvfR$qx*Y9x6aN;B<@eFf%it1iN|<; zHp~!7EAxZ2bT({iGkQy$=>3j7e#?H{S)8}rGH;a~4mQb_c=25=z6W2dyGiyL>?s2> z1Z}CFk=vbTiJx+9-I*!Caf>5F;CM`L9Kqq&?>16@c5O-WPc2Kgj*fv77sW|B@eY0NC{Ketd|ih7)TJ+GgOGSGh)kYMIJ1~M zZ}^t>YvNps_>pN-@ZN%n&n#7jDQH`+W4FXvD|%BchQ)UJq0cz*q3O47>XMM`t1YsW zj9esBq3s4 z<@-^&&0jWlD@byOWD9(b)=^?X*WJ+mxR? z$f}E9f1=m#<;S#c)LN57#eb zgbh!TuW36$IH;yJ7cQSBZ>anh`z(3doYXO2q?3&wpCIN$BUDeAG|#Z_wRMYPekomZ z=hV$IE_*^;sJTN@q(7Ci4nv&o&O`6^DF?J8oM?O}u% z&4}Nno_+|CVHP=lzrqlgl%%U?fms_!;#JoAd!1m(4y+pW6b+jp-}QRC<9>lpWTNaj zz$i16Oyi2CnGN@yn75kQ>g#f#!X#dqk(x@AK;|h*m`!Ou&6U!B0#SvAFu@vn$MRak zr`&q}43C(??b-j!((_kl=4Y{tjLd>Wg9OOKwwIfKM$uj~Ntnn#t>HqdiodXK{zT{5 z$XvdXPDOHnB4C0~sAwL_KIx)<`!#;5Ct&HA6|GK_n0qNY1E$nmBeH;i`-qYDeWDDG zd)Kmcnt4^m8O`&AoNCH;?73B?ZX|1Rcc8ivK9!>{%T|wVCtU5;Uvkx775WA1M&!zS zZ*j7jam}k&1=-TJv1_U_MMJp$LKZFgR#GJX@V=in&0u)`RBQVeYYpG^%Kb9^FPXDu)J0RWNS5FWJr$PJ;5awr_Guhxn7L`Te2u4lp*o|7AGU?r3sz z23@#?_me{*u_sg)_R)(!RuARI*41Y#Yo(*xt*8^sex?;Z@^jIJtBQ3Ge*5_ezS3dI z?RrEh!kfZSnH-NR0uvgJ-w z@}(x&)Nmfqm>+redSt8oOBkB&43vUU`;M0Lu|08b+`o%Z3+ZP8PrhpUZ|sKh zJ+@)|{>9Jkl+(#t%laM^klnq0vhSH@QA!}w_BrS+xAtVao85A3_-^vjc*0i%`7pVw z#+IdS`-&~y8__G{_U4HnBOypv&%P}z-d>G)kMJKPK2j=Kg%vyZU~-b@wsF>7ck_#) zWt*^vll1f5J4D`kklFmOrrQ_$Ls3mlFuBmu6yNCcaW{3Ie>(ltcsVFV&IONI`ML}W z$jy>VHgXRJ*1QL2XwUE`Si2|q9s>LNAcz{!E$0QQ{Y^BXxE?GK7uibD%hPX@r_YW7 zGw@4iKch+p%o`xMm73O(9w%Olrp4X(XUAMs-T}n>FGnF5CSRWnF+bh`nOgv}5+ms) z`b5L%EP+yx$4RAS+_N&pCWfLP2h?B0m7o!VTh#d3)74};M|YqS887r_guU?xa(r;s zg`*k_J^s#w^$9bO{x`e?)LUQ|Gi(RYO?6n1jU)YCwqzQ70eRQqc5mj6(@gt=OG?xnQwBhu_ZBBr+}o>LngIcL-p*4LP+ow|0G`Vowcf|=|WpyIg`3S zKs}uUpWvID-kWc0Bb2F;6{y&2RIeZ!^*{^PM=&=@_(o$@^?hg|;`H(>Tvzc*A5gYv zdGwKJ^!$aAbf?#cy;U)`Z^yXY>b8z859~`zrKelLs1&QE?&2?+MuA3buM=cjYRX)4 zH)fJ+5?PZyKk2_ek+WnsO%XpnmRi*RyyrvCp$wx8j!ee%4CJqNpx1Gb`#z!Wc&0;w zg1uM0dtv9KQ1tsLwBZKexxReEg$8Mjg%Th}L7Qqra4AM!YM$7=IXyoc_BX0)Vvk;S z{jfoD_!xbm2Y!IAF}KLsf8KO9DEW>oOhVr0zk}-@gh^J9^h#{0{)XJT!OgU*_INw` zqTI?N^9t#K8&#a3FBQdepCKFCo;6&AQL24YI8{$V7KDV|2_>8=DMx=1GC}16q{}+x zRFAe2(E~L>vhi`oep+-8`l{Sv7oJCNZfnn(KddEl1XrZx|K|FDkfhOvXT~0hA7uxA z)Z@bG8q?%}JSW>oJMPN+G7-?8dq;BM#!Qpk)(E?LhILo{OVZuFSWKOg#)hm(q5X{` z_F1Ufa?_anm%;J@Zz9dE-J2-r@(MXOY+@AvzhdJuaKQ6rskHZijS4JL&3r?%P?7d( zP+&0r;Lo7~CRzKYW#7i7mDlqma|{}b4%*vas<)fo!^7>j?5u-wAmU2`ZGEp>Ph3jZ z!ish_X!;||d8nNX$Q-4N-Aa-yl(Xel0m}`|e|j3XUE*((`*Rvso$d}f=I&h=$A=?< zc29(Z1=_=;$!T0Z=xQ%yYO!EhcEwB+VfOHJSiecBUY4YN#gCh*M&PCEL5VcwC&thQ z9B#;&`LWyKwg*(za-#WeRd&iq@ zOW!o3qA2>ASIeV@g4G}*;tR07$p_0UZIxU{)KcwFapW+mu!9W~5yVU&-)I11%bwYN z)V+(8p?y?5#fRc--JTcx5YpGmJfuRqz7DoCA{k1=dzpsZ1ysWtzmIPS( zGO0V?u0of^w>t$bmQ%W6zK~}oad9u(5KuegC8J<;RQPG`b*Q=C=9c5;3tg1!t>oN? z7gSmPq#r5Fm~fsVbaUZ$-;co(K3KxwCipXyloI+skMB|gA;+kOaieV1lL+;( z>g)NUU*wRA`vt+NqnCJ)(W+VND#7OAr$i38w z3vv>TXRMWW?Apx0t%Xc+QIDOSg1rme2$;f~60Qtq4-_o)C|tAs{x-aidwp*&9U`9i zp(>&C$z`)k0qYPOYbNB{4-#z=*_v)aG*x9*81u$<*iO-FKbW{}f|{FpxCvWkRF6jd zyS2Kii@ybVewBv&>f*zi{r6i!_g|!_mr7l;Bo#B(Dxaw(6gw+k+sMsM@u&dse$msL zv$$uNppe;ac)jrQ$j9@E0IGyLHmLxD!((FT-}Sb5jD%R}8B zD!`KYn$fD#c9ZU`dvwvAq@OR*-G>@)KBn8CcThl@#oc}&0&*O$Wy&4v1Y9j zH-7%Dc;ERfjHx>dXFW-PC?`tkv#hJ7_TdGVr+jyZ&gKxbI5cWRZfU2v;`zs>G$q`z zI~2PiqUL)ucVg4@j0t9LCMV8QW-B!Quyvl9#RWSFZheb&sy3^0X!?^*c03Q5qT0(+ z1NthM#HA;3<%hTxX9zg5M@$hp)e#Obc2QggEWTsw(Sg2I!w*n3Q=svQ{Nw2NG^I54_SA$ z4m=dL&-juri8PohLbA}7{^%FV$0Yh;;EuotQsT;@!UHv2071hF>8p2fE%UQdFlMph zVKKusmTCE=`NwV23zlwOepIfi_SC}E!QmpwjBLr^!I@xY^sBeExE{p9Qg>uo@~_ld z{pdvumucOblMOafl1W?GaQSlEN5m9eV|uP78m3W}2qwiI_>#oWZXnd{?bnVm3T1Z2 z>0Lizkr?jc_ePc8Mz1!fAW3k&l(WIyHUFyWBy~11f0utTD6;~=K}mrb4ZlIQpT`j{ zQr=n(AWeY;`avbf0K0(ecvv3?9fwPUV@PLy15o_t#!RGJKO~H^ROjQYFDLEru0TCp zr(wju9M+A8M-Hdgc@;Ye=uS;INGVdTh5+im$ldM(@GL@Pf(`3Oz@3Fx^B}#l{$Xs6Jck?d4y7Ep)7{71-k`cNRBeItw?d^t;HR zM(#;d1W?Yc%Xajbp=+^j#3t3PRGtnRSkZBQ;$#yLS`w;X8xVtf_sFZp6L~{Yb13gb z(<4V@8Dgz=bIU5|NL9n)63soo4Z!|)Fa5;jXND~vnI+u$m;?NEi9)Y;(J-|?+_pRy zwWHOE*82s;4-!{Om_(k9Gy?yMx&7)LUcL#_hm40q>~LKb-c2{Dw&XVtz<%#{`E5bE ze%3ZRsAKfqPZVp&vX^OneX{=H=BO7g7%&I-GAo&ZB=3aXmm0_lp;0dQjcoZ#i#_nw)(tf z7AcB8ym7**?VfD+3QZEMaSMfGVN~k!Ge^QoDefCpb-xu`K8R}QCXi>@e3Iw=;0sTz zuM?3fqcrHc%n3IrVNKdNaU5Ljx14E+vbe!1o;Qnc4je-(y^`~~H>IdapOUr7XzXr( z86_I|t$28?I3_DUyGSpIfs_HEC`w^Up2vBYLmmGfSn(|C3Ga0iL&MQr1C1@kiSgR^ zbv{4mkDwW(sE86YS2rPYBcE3jT5p9HxHnOB_1Dp{ z4?kbJZo0mFjFAx%y15v22tJDv*T*Jr5;EW`4kIHm!5&$Nq8Jgh)(c^O=Gd%KQ~`(3 z`gyWi4%*3SR_Roz7o@PTKDzc^u{H&{Ed^#STcoQzP{)NgwIt7|#n>N#gnabnI$V&t z-Sm*2MCl={zX#&|@~}uYN63d4*~`wRsE;c7<vP+DnO*rr?cu9F(ni_NJB_AmyPo_OIairWjrQ z0!k52p8gMDk?H>k7C9I=nEwkU{sW7wO#clmvNN!;|F2-t4O9h1YmKd7cz%ZgNoo!T zc5!Esl(ioQhEW&>7l^7Rpg5?w8EBCZ7Kn(HkWfh}ktk=c{I&PB>-M+q`PX_ilk@DK z!q)t@DbIJ+VP}yUMZrN}V?aewq8UI0fd*7%kr4qrXkakNpdKM0dI}=YE%aLuP=|~` zo*o2>^1080R2~B*W+1u1;!g$~6y)-g8>mo7AOa(0L^}!w3<^*%=`WjzrxajH0Urc- zek_3ka%hMrV0*H{%}*|bI62E{a$lN&oi`qVh>}wFZyUG50PJaGeK=7dmqIi0G^}$W z?=q@IM5B2B{Le4c0PS^%SeJC5KyPnvkODisU~*Xz4LtumdY~H+R)4oaE*}H?H~xCjsP)v$Qu4S0;u?>5U-&C%zjjTIAIS1+^z(8Iyr(f+q{A>w#OW9*q3qj z_gDb_+u8~MVNm>U$mi6jIswQ-8}srm-pMJP=m&9ptN_O#Dp+?}C2hou@FQ@6M7VyK zf;v6QDE20KgxHqI1p^m>Q#0M&v^8}RyIB9Yg zHcaFT(AT6q<^g2W*mfuXxx2P*JcYi=ejY1Mpi96n)xf|OuE`$}504?1ra)6uS>=^3V_X=f zcw8SfmYKzmZ!ydw!SS7SXNc%XfTDszxd70T(X>1o7Sup=0qFE?TTmd85E)F2Be2mV zEX3fS+yMRW7q371BU|3yM%xR0 zBM}`LeXo6c*jUquW{Byzq8od@M>@}EJ5nVeNp<~`@zYpqk(S(Xg8R+pQLot4elQAR zW^di63BuC;l<#S#=rRB)=d~_kx zAmR^ILTLm-6o!EIn04Ds9WH`hlwvPW70TWnE58-Kk|sh@3iT&-+TrHE0BHeeUZ&V4 zI9i<3$rf)ep}E*_3Tv}9n07)uO z)Hg<9F)407I*l~B%yyE$&{_O&ou#hYXL`f|#P4psYP%}|kwHvs>^&+2>VY4NI1{G`y#H<+*Cn$5+5BwE?u1b-h{kFez@^Z3kyQS zJ_ZWE!MbLLKvs_@*de>QD&Bh^zqW&!I@Y&LBqtXG}E<;a2L-YdBeb}r@PT@ zmaVtAZMbv>6Jn&nsdvpeK|)g@fVb7SwdbHfukX(`nx66jWjXxm4a7TcqMyAfl9dHS5AI~-u{=OXiSyHA< zb<`(lou6iw;-gZArA~flq`7FGxDp_fc8g`_v}{IGOx>qF^~V~H6870v;}K6%RCj+FJV4;{L@hLT*vd(%y9VjW+(V!{p5eftiBm>Dx< zc7V%&81eB^-k|sjBD9B7w|QP(eU5Xtwq4ikO#N9{clJumxV-2fOIv<1wH%9XJV1to zzDs3ZmETvO&YV&KtH}saTiUGyL2cj}-k8cEKC8I!N&GM?w?I@WfwXJ_txAL^HMUJ& z@B-l3KY68W8+CV|vlJ%ZX35+#TkK*I_PnzE>pjO=JZ3!!qCV1mE4qxwNz*ajj5LD` z@q`GMU-x#^TzP^BCP+QqDHN|N9h;yh3kjQ2_YYFoEJ7`UcJfStd6O>)@sD>hAE=ul zyn2SqT_X=q4v&uf4n%pi`x~aV7I9Y&D$Dp8+4UcK@H5UQ0HEy)<6@MqG#=(|W(g`h zVJs>iiXtbbL!I6TQYTKkf=?l+09D6w^ubHqRWkQbU%^i+-*D0v3d(?4*I4?&h1vc}eLH0JY}Jshruf>e$>JY$Jd_LkZ@0=aTVhvVTmritHeUw(xXx zfVBKk=bdvf?^SB$r26aOQ_=<2d;6H?%F9eNUO|z&zxu3TP zEvsDf4T+^_W?s*zVEx*S1$b0bt)zQ zxNIBi^wCr4qYVZ4s+a0`b(dyXcxYL(r*gYi71#MogWSPHo;|>UrHtGo;cdr)AGJs- z)6CC%=th>3`3iyj);*~6ztgHvJ|kMEJvH_OTNtjGzzoflxsA81Jdr{W7M0k-RxnEV zuWc7GtW2E~^^S@Lp9*Fi-OvHNm z%^rGuNGh(Xn%be4AvX7Z9^-Y1;*Gs+vg}&^N)cT}LpYGNjM}&}*uMNA5=7!ZbKKsI zp-(%Qsjz1yb=5`1#^5)V=vwhb);D8!R-#X-Q3~8~_YqhZI*{Zn|Lqc)_H0u16Q7h* zWCS@%7*)Nvfl+}2XG+i*awP8puNCvY;w|%j8TxIR=LQRPKnb^!((I~eKTNLB-x1}mIJ1@=frDvWzD{3pQ2RO zv|5xai8aqG;%Fr5CUl8SI=p$oo8Hx#x4I(gReSA7DY)&8&|I~PG$8IQ5q=i2u0Ivc z@h|d}l=p+@^C@jLH3^C;y*-cu+Bz_1%K`t6cg!gB0_~a{s@2#-Xr_+d_MX}6vIY<$ zvxsi2`>*&@x3I(=XE!(K@G`JDLg3L%O-4}Y6V{`pB(ky)fOC)SW0_3zIB8t}OZQqf zyU}7rqXck-_nu)1#>N~|9rWt#J)6%(Qmj`yo$O!gUR*c%@MEX5rhoMdnAWh4SQUp} z?Me|JR@cE?W$*+}yw5!n8Hmk?hNXlKUAD+N*wRVynmG5LDz=Q#jpykIN@Tjgf8o>>=$YLQ5N&J#(UW3 zRNlB}DhTkVCaB_wj3n?-;h&B(Hkt$B?|oQ4Lp=W-9MvSdY>E62He)2brD$K&>3wUi zsMC0=Hp%JcS1dX{M~kIfk@(HBK2R-3F3Ieu3Acd}X1%cKJ2Tc$`$Pxu&Av^$_Pj8XnLN5Bwg!(F z+yyFzoX^3*49F!EmLY<>XV!E;c*2TnR9ZqNmj%1gA62#yMhJLW!E6lqiA>8B($%!V zVLP;P$LJBk%-fW3OHE`9eg4R%9z(V;8@FcX&O8IWz*2bLlxZo*g?LV4eJ!UA`CwNM z)CU=+9}~D5?4FjxJQ|nrK^P88IfGF0Q1*Non_c#Rg1VTKFtd!jfyz_TBv#;w6|&P` zccEin(`9EX9^l_#lxIxKd=HrzNe>Mysd#6S{%g!5y&Gc8=#3b*iJnAN;isF%p%>s( zenP-nFJ$b?kAAk}eW%}xx*Q@uRv;~z7h#)>$L_mri0l`&0+%M|D`gR=Rq}njhlJ6l z8QySIuGs+{HG4%yl9bmW=D|s-jaE}`4c^hR3g)}*!CcjjQDgfjjE8K$N%E=( z`ZZjkegUs)ktIg^Us1tSF6IiyKR!{U=bosRf}@43>qGF-IFx>i6rwCXR^FcA5>)FW zeiYifqqWK1VIg3zOqe%Sb_9X8+q`8$I9V&~Ua^(-kQM&-U2o2W;#rCxQm!e9xFk^c zIkj5xRlPeL?3Ln3XJVbN*C{E6#=j2}+4Jn$=`XDj>NNXS*2o{>XjOx%EeuzPRr(=B zO8eG7TAqA0R6S(MC+!ukacCgi!L8eyz35!I!?smicPA{t#RevILO+5H0$_XCeRtus z%yL~H>o0JA+_Jb@IP$+{%qI2AU0mXiHBEI7jC`U_bqZ6PDmtGySzRy6Sy3OIA?94qD#P?~Bt)^gv90|d3T^^+tDa>jt2qoAocYl>wv#HHq>&^6 zMai2O(piRXds3L=;r~$2JR>=~>kQs6onhZDyB9r=>^%P4lzOaH4=gk+BGOr15Es`W z$}3e5UoNI5T*fgdt8Gb|j*k?^v0sa5aM|o_3!bmDThRG};mQZ< ziog*kX-jX!9}jV?4Vo)8=KD>nW?qTS9R66oy;be)F0_2`ahnFu$;UO%ITjw0m{X@p zOCJGMe(l8_nO~ynJ-Kzj&^f**D6M1yJnDMZMlCs{r=(&~!cX8LLDa;tKWYoFO;Qyp zixezzBd_yJ#6{|Ws&c(f2wb1(RB{|BGOwr&jWrBYd($6TeC!``&a_*|B0|p~X-_u4 z@M!kxdQCsZurmH@FEsQRv16`2&iud;rI~S>tSE&wrFq~a|zdGk*1iRWA z7V{G{D@33t;9`ZlV|w4KLX-cHZWWGScLBXyDVKBv8mCzhJ3oUz9D%XT%FUeL4BZzu zd$%-d`52N-`&2dwfJd}9_u8E5`m^T{ljdx^Sy?$IagJ=|YUc6Y`V8(8H$U#GWsRgzX)C5Z{#=(ILUsy-(l@yy#SWQrk>2D9$sYr$ijetHJ1 zo)Lp3V9M$J71ovKd0n1YxOrY2bqhC${TW7aU76`wy5Q;2ub(;pNBbfE76sw-*kvgY z;*Nv9n_zL{uHbnL`Xo&aVi+prHnmT!vl~x_)yGm{Vh%i*M%NuFzI)9fF2u03Q~yaYqPj(-t~&m)dF{t|e!Q@PUmc_2r9eAAEZPNTF+nfPqs zXA$vjlOXW3+_W6A=E*YKI~4${CKUO2F0`Op7MENCRBkT# zXF2MxX1ajuSxx5m@&zaAg)V01fB7FJ6+^TrF8+YrxqRDEy@5HNB~xbC?z77F9nh^iaZVu_hD8Y>kmeZoNUi?mIuSid*p^ zA_jMC@5k>g(_K%c@9uU6K7Ef{C^(eS@nX!iMsFHwk{&$D^jLyxQv~kV95~V{X=zmu zv*PQ@u*rN;fp5@K(zNt9sw&1`$6C-Z{n)u66|qE=Rd*5-oDsdEU5vicEdgIPA+1>u zLc(S#X~w-Ppsb2ChX|F2^XbaNLf^LYKvGBi22`-^fwI~HfiCl1ArZ7khMMmy)X;=L zpOL_Gw;=)Le%%p<$pYki9F=(c+0d!f=A-0x`IwN=qS+Aei*?W)^7{##&4Z65Oa-SL zk5$4m1bFnhML?R>1WKUwLMZzbS$FGeBvi5J9I*3++-(m({KfNf$$5&yObHbn5}|juh#G$V#o#g^5#zQ zQX%L7^|tu^+55n~6Q+aIs}V;87;poS(_sO>mqhmM(Rq-y6@uqwaYKPkG)$&7s}4!X zViPIxNUd>_3cE1q)X`dC3Xd(6 zJ7QL*voh=!;jW4!DUV8N8|=`$fk@#GJtNoa3RCMP4DL7B@0?Y=ze{Mg*zVnrekS@g zx{t)$DTdZ1uF41R{9ix-Sael2l2bZlYaJ(7S&JUoibM1b@Z$%i5*7yM3p&OWbiEFG zE{A{Wl<3Y%L5FtzYLvPo1@jD;$A8GSWqEoB|D@v1(a$udqJL~M6Z|z<_iL_Pmxq^r zh|uukBn7iPjG&zC^vS-SCvg)|)M=RzvqWzW0MA%Na~;RA*dc3$h!Q?20{bVVf zD-@fRAS!5&Uz>7kxDTf}jwAOMcXTN)?aY`ix{!EzT`sz!{uLiJYh7qZy&`%dtUT*Wa`Cd`$j8W(JHlyf<6L+57&dvg(oAdE{Lq zBz@PL#9WwYn>4ygruf5yj!xML3|9csAulJrr(<>LnvITy#+JpG$ieDMS|cmw53k=0 z)1#@q>t>f+FmCII7K;4_ox+QonUe5zY=u_9vhNM8Indnd z>mFY8B*j45b8N?zf8E#pPp;Y{yH2rDL8Y>>i1Dkra(VCsS5f!$!|fKC=d@(MJhj zQO0GCalgH)--+i<^l2uX!OUjOMU9X80bMa~hbgaZ9F$>}_=8!N_BRmnbPFl%m8WIr zCfc!@>!X>Y>R+^j75w99d85_rP3^TzW31sj?|<$#&F*Xs#FM9W-z=Wd%&Hs=aZ6S} zABAB3`HyA3MRDRBC_jaQKU`F;zkYD5TbcMA8@eCbJmg@m zT3Uzp{Yf%&K@4WgFEVX9`K!AU;}F~GVOpze!l&iYmhCt};p}?#eM^AX3qjOp{P^-o zE_Y(#nUc>!(_9A>`%nT8QNLMs5TG-81XQ?>6ZY*ue47i}5;s9El>l}A@ps-8GUaFJ z55Tl$Ro2MXQ>5t-Ua2KXeV`k8fcs+U=Vk1S9nz4$@sn@~y#8#b?bw_Bsj|;{HAgXxp(eQF>p|OfE2VKisr6%M!kUVvW@)S>a*|b7V za7cS4k96U;D1sGkMu+wpDXYg1adga=gJktwrbjv5Llu9|BAJ6Lj+Rg2a!&R~d?T0d z$GSD9g)4VUH+W1A-{g!roon_XO?QjOmK?)9(9o#!@kav}9 zF|91+OWh)OGSa38JJL6)rONMpUzmr_MM(mh9>qcYLGRt*67<;=JMO!qQaZ&|rfTt8 zluwVs(6~0M_2;%1LcSr_oWD-JR{l=9njlJ070D;nr>3!&fSlc}qHuZ6W|O`bPp>M0 zh=v3udFt@1-Lw0M9lAipWTDm2cmw{P0AWb1eH#0w3a8-xE`I0L>F3tGb(aH_WXuZ! zP6j!_dvQ8?tV|!wAr}|;Mp{DPu!t>khQe_Mv|rZyD;$E&V`(GokU-P4gdu$(nEy%h z8mvImq;1Pe{>5^~<)&lDeoQ=qm;dqK5mAO!q=GKLquTAb23I=(MBOX~fO-(s;56(W zzSbnl)+dsOmEK+OPcGtR3qO-Q-QRCsIe|^PAxZzdMNe)(Xv&4-`hu5IGc!>vLtYr6 zX2z({Nte;(#2=5Zq@gUv{p-couOM=DU2Ax4sRwzqDX3c%-^$bjK1EI8#UP*a)i7`GZgn z+$fu|3uRcPT4b`o2wCcDRzyewWQ_20l(bQS2&e}`#+@MQr{}ubRtPg|(GF zhXG*yKQaJJjEv0xqb2?i0$^wQpC2<3Cl@>8{|W&#gDYllV9?{~1n~^uxc~Q{Z{`J! z;pGl7=myvXgSsFsc{v03ZxEnS=!gft6EZqj+;4u>d(?HGpEsIuL9Oo;_)&rm7M z!F`pKA-h0ScyoZayMgS0k?n+#0RSLG%(Odyv;idKfb0~^ag6*~U`60A5We|y(*e6) zr1&1tr}NZbJYZS&X&^g8L!nlIY2ZbGAk_HiBznFbxGPX6?~aA>G2A@(RzQH_o_~h{ zigSSQjwmNrPfrh5wGJ<5Kaw}J8G8T+)CJHyuon=qo}hOBtqU-Y8lYbQz4?j@nm$9|60l2GOv*RO3=Nj0J$ec(}Stthd0@M^#qhs?&t=Z`XNMJ+TQ!_BT zraBMp2WlH8pQr}D-fQx$0W z81N>q>Q35YTq}1+P>=5SFYi{Mj_tKynZf1x==&o2(G9dp>Zi;hwD2!v6QnTkmyV83 z&>$~RJ`d2D@nQe_R!43f?j2&{C&w3>e|{hCI=sPaG6*A*38c@5$m?tU0|-byl7d10 z?|%?L>U>8Ba4QimRX>geqLbL~*e5Dn^QW@k1uxhUDC2<_4zC^1+U?#RWmDNkBX}40 z=TFg(gfrK%DVzzss>ZM6+kfy2#1-hB`6)U?{o|c8aC?UbI8cy6c)!2*LLtwB)LBL(!0Ke+F0I>J>if?HjMlklBy*|!hSKg{41jGtH)rLNIf589rWo_2)N$a+3_3k zwON&2ULh`QY>D?r2skhGWKVsvYcs&s-yRdO52zmoq~Sr#-|9YT81e4ZPfJ8Qe~u6p zZvV&uTqI8xNZ}kDgTZ-l433jKK*UscWQx$%_d z^8(_(6*s>LzaAq2f`s|-AB()};;h@q7`uL|v~njiy(|EJkv`+Q*o+;2=*0ui;LyZL zoh0;5;Es5C{EHFIZ<;w5K#Q#Ft^fLFz{81gq}!Hle~wtBgbn zXl7XQ?Bc1m`CP(0k;n$MqUN2vPrdmZgV~)EB|(KsqQ(Mf+&_<~?-&lxe|4u{tCde4 zyq!|#k}*btTAzy%9r)s{_v2f|nHxq+#BT{kDHTlCLf*SSiQ7+@9F z1VB!}DwHo6oeR6iR^h}tnLHkyqg1;6qtWpxdz974owhq$NZHy+d)56MhYya(d6=yX z8b>)%Lm>&DzzbbaCNe4eqDp#QNcWGuMFT;c3o#AAOhzgtFW#U#Pe^sTL3g zoofH5GG?i3ZMlypjm{s})ju2gTS-527mMHG_#zrYHYT*xFL?jD;LMjc3X^8lNZww`KNhGzCzFPlD=MHW(B!kD)Xx6CNIX*bB22-WgJwT6QmQ|iSf}>LEY47OL zA8V}uDOzvajd;6#lNKnlc0}$FhKn)6L!ir`9&u;o;Pbfpq`F@@^g~Q%x7h1D4i}wi z-E1FyUwtgj$i|m%pI~9^z)D{(zlvf#U|%{Cl0dfal3;4jFPP!tBGn-m&y8ZUeJ_Gs z8f5GcQbmhb}}s0(D)(smz26vvKz>q=a9^)j?712=<`IbJ$ernrX>PPs(*x z&nB~6O~rn`-uw(jk2qOYE-T zUuK(JBmf3=bcZmsfYse&Y)6wJ1A2AMNF>Z;YFcwAFa`|Hnu zk|CaL%s{D~^;}ep(l0+rA=IotVm$w&WnFEvNM#mpMZF>VS^8JqQTU-u#$UUh-gXehCe zBa+3!LbPOcr~!5^&$da=8~co78KR0yQ?+do`thCEK{eD^Ro3%kwxM-^9@H)YkdaFW zpr&iz2Le=6gyX$0-?$z6YI*C$P0dp@#8$LLVs3`SZi!vb;g{yG2>{8H%srAG>KPGg zfM!}7>Wi+9wI)6;)$Fhzr)k7Nw>t>*OKq*=@b{aln^hicX_n_!u;csdcgLw81USb= z!G7&t$~0Xm?a0{*b?ICf^ZA~S))_wZ7am?F{G{F}4re~L>%ka2>3L~9Lm=<%)!JB+ zp5+)k!>y2SvR$N#VmK>sEs<jKD|iw5-R#?gil=D28K-L$45#HjA}H zUYijp;Pm3$2j^2m#Ve?J$1C`K@;ABfA}hGY#Eu{{DTC@gl0sgx^JdAq{cU~Lbp?_a zGAc|fctiDdr(su>BKQGR5khAQwpWKN4lL?<_DVXFW;U4Ey0uQZN)&xuzwh1j2=C^~ z?IQeT6O)@mFQFDnvzdfCm5W>cZJg#z^%)&!zS-G3!JMVI>G;A^}FrNCk6@5sM=G=>1_jq16pTV9|GwMV3!xQevmPS?XfxQx+k8GjF+0(yahFwce{%|q(fyRKdF1EcM8q&i3&rq z0(;rh7hb_9n{C7lRcdF}_VtiyGDt!A&Z7iubhvS2k$R8cSUOCM#A#Q)k=X)*%g&>e z;?c0o7!C!Vbatl7Dgp~R2QCSfLdP0CM}8J7)fLCC{LWW!T>c{*$D$(@Z7bM<^FI$b zb23p=D%2)DJ1JCDzdUQ6c1Y22j_zJH+6^UJ2;Z7a(0hE6?TwT3z&aZV_eMbq)(|Hg z*3*0)CU4)DZ_q?Rm*_U*U2gkH;@KwT43J;r)vj@i;eKi!>@m8q)k9D>K;64%P>343 zXE2!IyYnCYsYHJjs}8T!g-tS-2#yLEVOblqxRQPZyNMzdJ4~ppV>uvjn)%!>MorAu zo?_TeXGmsNpx7X%I9?6*Qmqfu89t$MAH&=vGw(xW6k5$A^ED7LJJh29$J;!8KhG6Y z)&bH24{}d#gT5jg7!-z+yX%O4kU<&P!@S(2*~df1J2OZl;BSlp;WxJPuv}mNtY#Ut zQchMhp8sRkSN+21A7He5)bZY>5H|7-b0WX=45~d}TN+Oa;>rq*p^H5F_Wf^HU&Kg= zR7BcRg!;bj^{P{pFmC=96;}r^ALdu`k&?ZYO9>pf)f8`zcz3EWMMu?31W1li!5ZsF z2(9ze;FSpe^NR3B6Xh~dO!|@1d~o*i@c%Y|M%=jET}CDSvzMXh&A9NabUxO(#qKdi z1v0M}rFjn-tbKiuBPXdqhyr zV%bx{#<7O70aP%&q5ivg$?k%!{R@8MQPyYfWSGEs-lc^0v#R*nGZr?arAS~&4Z?pX zataBuqc8g)=4?zOl;kv^!M%#iZ;`rMI}k%hnb1=4Y%vqr9*%ZyfNiD$5F$$@B6e-G zTOY8QcpC~M#}Yvid+X$`TpsXOAfA=dfWXv^>H2uM3uZ`{$`WOYh`sz4uED;A+ywPt zmrFq@2*|IwWo;0k=xv*Y_gM@Hyw3R8^y&3Y*r^xr+X|b;EEj|JiJbv*v!gtaCg?S} z8nr1!WKV3zUb9~UA`FG28x6_h^4A*@cAZAXe11p%oPRx_b8b(=^bW`NjL^DAgR$0b zR%RlNF%ae>Jh|65g%D~#4B=d|X^Q@UjA<{q9?{cd=*D+l_kTz7ctKxW3^ACky&1;g z>wTI2urz6e!h#Q`XS8vE*1{*nmiErjkt1Vs}Z zh1BK=Lb1qZLuFExd5|$}-Tmy{ivvQO%? zcWY6p9e$%wYdL1TcLMc+jGyPCG~D|I24#e+)KwUa&Etl8O5YoScC-!%z zr3#&d*cIaU!Idyt%Q?=e>^F4YuQZ&xm}U6f&!eJ1`>a!P*m=;%20o%mJ2(uftNDEt7OTb%=ex+DYb(S z9D$*=8%P*sEo!&sIg?*#%OUHehwPNq&h0%H&~i7FQcOIn{xn# z(GnTJVp1gONOGWZ4%jYQ8b8u$A)ZL~o%&{55@0qhu1JQj@GTVLvBWz;vR8r7%6DH( z%A|5J_oUy^;IFo61cPcV0gOR)S;8(;b^H->*{DnK;+ljZL~JqaC+9zeA6=5rm-cg) z{)$#kH4EFTC+68=Gx5@(vdW)R3iZK|pWQ43qc6U5->eoM%7cjynl;gWR7>;u8KNnD zS5GI(SGpcaqpZCxDaw5sB2KfA_Oxd6flyWsED~Nb{*W#XeIpOVX7laL``rO;j6EU5Pw1s z<}Ih3fBH$^2K*L)EU!bmp;HjR8#q96&*+?y?_+X<7R1LrG!WA$x15byB++`Fo)g}R z-ee*bmS;iipipJiBe-eceEuwz@EqEI9i;<810YT#J}VyRGXq$U4%H~E$>9$UgGqRg z%@55Td2d86pt)ERXhiMOOmLq)uJac{^jg3P4@B%rPh$^$_)oNy%1>bh%*x=`u3R<8 z<5J+305#r$a0|!ne@Ds?Mlmu?dBi?8o4Fuq3Vl_J(M24(Id4FsD#M63-HwNfEZj*i zI8BXQIc{%W8d|h$C_nMs998s^+(RgU1bNnnX@aMe#0}6JIZWq(i+NQiqCt zDS4lTno-L>kA&lV;Mkl2)TyRwVzB7PMo2u53) zl#>Ll7_2ZuT zS=&1iBojBDdreL@Ro8(HTQ_J@j%bDjQ#dEMplLeVDEG>P{s~th(zWS=DVPO$IopVN zf7nUxITPt8GBdmJWF}@M<-BOlcKK}VbJH(9LWcmPxns}U5YrgSwtb`epxA}JJ5I>; zgf~hAu?^KdUu{(iE7>QDJ2_>!z~5G024LoOH8`TUN|5Up_t zT|tE%wfZ?QVj3OokjC`f=FLiD29GxE*}P;4uW2}@|4jG8TRro^O4laGkSiuusN~NY z8D%V?#O_(9{PYZ`$nN?3tg>hKQE$`H^Z&dCkDjL2NLDdsRg{O{mWTN6rq(sQw4l33ER4}S1Ws3g`^u4UwIzM7@geQ=M16|8dVXPIFa` zTYZoZEg?=Wsn$YeZY6ri&ca`!&W-Bf4G$a!5?#KB-HSEe3cWJ<9=? zzl&aHF|~%?$P-Muy{}P9DlvO1KqC*X8@EseH!g29N3`pOzu=@W<+_(Nm%d_*56>7{ z?M=9NlZ)6o5Wg;C(%;~bt}9{u=x#_|Xhg4i*RtWqpJNw^`KI2pwi`3O?|^Yt!jIB$ z#V-TE`PF0U>G-N}&c_d$h=sdfif4wal1{(GpG2*(fCIC>Kbj;F;;p|QvW(*36gZin z>3hGH<4Hmp!-AII$*a7Qy_FerzGbMi+5I<-)A*wo-tf@!J}Z@iTuW*?rZ73}%fVD= zW$Eu7t0p#J=NXQhh4ajQeyV}u>PYP^_}&rQ%Pk5tlZvp$bkn%lh4Y`Q<}ke7n8FJ| zCN@exef|c`MJ6#Xcp!mm4}gQB)8UQ>v|j6{Oe>gkHKX2Ky9U?-yUc94LzJnL>h|to z%m#pdD+A<){?;1Gj)v$$9uu^ubGvNk(JqvAJYs+%>;N*w}Z%4IfLQEoH ztw8PIZWh<b}X)U;Fn0gyc~*Hs~xwcd;R_P(H(z zFMEiHH;7a1vn@4IkeHMwCXcm<3?^exZNVtgucI?HsB^fz(&zgJoeUvtDA4E`-ae!4 zX!{ibjJ6>~t!(_Y9TDuDxE}2M!jDslg+KJvDu#WcSju8u!~dpKkuF1^5OI2og3gZ-3)bRT}*TIWgLwa)Ga6IU1c>)R$?lV zYC=yzrK21>d+_zPV8s~PSU)2==)|jrgDTzQ9TUIbAB7S}0JZmd{;LhAs z6jxCjY|tX6DPOniY?bJf&WoaV>k~nper@n4&F#1-1;s}_;m_k$6rD`Fap9(~T9;>i zyUyr$$3nX+krHElgJ#f>-i-u)< ztA6w0Uxd}%wFFGxRI_QsNof6CJL7!Adiv(e2zYDN&wIzvgkGIowWws41(H*tfOM?6 z8p(?%T?h3xkrTHzm3f{;$Z#I^l#U5RvmJuQo&fC#)lB>}c4cKf*n$4*jJE!C(aR1+ zwuC6b=zGk}Nha|JbCzt}OK%A!&w~;ZwsL8RvS3m5%|Wk(?=ic-Qo^Zp@{;bXYs?=5 zW8QgWcA0HsYtiWl!*L&!|8fLQFrv25Y&0fwI{4&e`L}MOX=SA9u;8K%sXCa;c>GhW z*TqUO2`tdv4@VN)om5|p67cz4ztFwx&)~zc5B5#i{cJs5Krsnrs@GZ(jzilgeGx33 zg!}>#ZSw9t1H`9$H@Nd|UL&ynOWsWk3pGh1|0*i8cL745S2^IQj84WU7N>KO*Xvq? zBG)b=VoAG)&@dMqH6>Y3C*{IEl$a46Cm}VkjFIK2BJbG`cIWo%HyvxY_gvP|wuw%U zC+4{779S#MB=_?-*4iMW`Y;LIZ;^a^xV7Hh7~xkVUqsxDy0)HH%=g-f7>W7Yw4WwO zn6)-?G*2MCdNDzB)H6op4IwtilE!Q%ie+B;^3AL7WLloi8TYf}%&du<4qjE{7Nc zCsPZEM|+6s9)-j%7$+?3!b;K>9lII>P|D`)b+{7SA*uCY`b0E4L&RvGMwn{_YbBcD z`IJ_Mg;X~d8guFoj|d6gT2?NVNY-asrGO{$B-316JQfh^096U4Kxh=% zXM;CbnAopn`NPQ>scYIc&XM@tCXD(I!~p*#`Ef(i{q9yU0Qb zCfKyr|7B@{C7J>v7$H_J>P3GbY2252{+6t@p`O$>SEp{wEZd)+Ibvl!Mt|2j1-fce;L?V zmlM+!z*25YbvGif@F1~|!1QTfNb+!O(8WUq?>s~<6B1_l+lk^z$Rv!Q3VaXD(HA=} zER3IqVrQ4BCfn>nN8*?KZ5qYk28`gtt=)npvNhhSt?HTtI-8l};v!gD^;SUL-aUR; zbSckmvf7j!%g<2FOH^o!)pSsXGl9%hYR9Owu9CWfV@@fvaKQ@+Bs(rMZFR zULv@P$Bg1<$*sSof3T1IM-nRZLe>)pD7F$mFvCosHPdf4iR6+e?Uc)q$rXg zV=xggIthbJqIbP8HodvQjDxVOoWG9rZ-1^$#Zl!-v_t=rgN)wWHX!O0<2H(ECh>SV z3ahs6`=5AW6&QE^z38@1IEo$=RL#c?@rd*oI%fk9z)CoZLBf@GB-@Lo>l`fJr7qM` zRgJO+Jqm7HE@f}bxudM}rjhP~rm7_(T8@y?9e4VqVfTYQ*A2WXYc z(US-0tw4Mh(YIZHPMy}>W9c!kc&UN-t!ET)b$KJpy{W_krjsd zFXVtAdLMU+u_^=K_x8V;+Fu+N;NLWbQ_H9Blc&$>!!uV-mezm#T~ zy}#@x>YL>ORt&zu2t9Ad2V33H|BtbAY7ztr&gj^-ZQGt5+qP}nwry+2wr$(CoqbC3 zkfib-?yc^w{`wqOQcDq|bK`y}8)O+{Vt(!h@g&eu!S)fOTA)ws-$tLN%qzyMdW-8#U$^8o+26 zx8&BYkZG1LwvYgBoX=Oj%D{7sZQSAaTpwg3HtikN7#&Oye2m*(d9L}#fw|qj8qgGH z=gXu#tr;1LG-FkAp2w5$@n%g&#Szl;h#pEo$O z>B2sXeRkCtFqoDmy-Gi;Tq-mH^bglXU7mHJ74#-@HGwZbrB zzZ_LB;@bH0@~86?umJ1Oxp_n)YTIY?s|ETBA~xVt1S$Y74{>fF(Xy}Z7NY2s(%p?Z zb0VnjKZV&BFT_V#5hCU|koI$kjsxPKPoZ(52^or2CQ(YknlwC*6aT#I zM`}j{a^i!^8zZhTRP6vq?Kg^VDo{tM$IPfx))@EhEZ5haUoSSJH9nJlBCc(VFLspx4vJ$Nkwbi(>_I1Wonu>>oU-9KSu{65=iOWO zZ(AanT(+By9J2uCWfz~0J8H6N$>us-`zNS?tB1mN5eM>NyU>2rzDeHTvK4}tqVSIS z6-L14T)XUSdyXQVy8|4-Bis@JQMi3Bz6x0z+oU(b6|0j9$~qN0SZPk}KX_t8oKk<* zX8oy;s)F;VtuD4FQ5oKuL0`eX8hd?AshQ1eTO%bKlXL9I1p3>RX2%+pUKd@qQvX6O zu(6VMJPDnfl00eW%ctpQSz-3#R(-QUWVa zT?_h^jD!k8&ouyY|5nTeYxHkVtKU)g1tEtaJQ2yrO@$5;Hu(H*g|AG`cZ_dHNTu08lf4fXJt)7zT9?Y5<(bPws}E zAegNY?`|#Qz%aJDv%C>IJNZ`!bM<{O4)#7cfpG=k?#)=w=#SmvtowC(&@{p`*HV+h>M+T&k7xsBEOO#=+-K@UK@+38XJ9UTV+#Q4E=CWh06+dITQ z{e5iv6@35Adf3(dsSEn)MI7%CAn-fG{9$?fJ)6GnM~LgC!6RP<{b>W8_&ciO|5H~% zcQ(7M0;UnDbM>o64bSek1qNCEeE6r)@!_w--B(0Vj!FLwffOqPj``#1(pQAl?+!Zz z29#nDXOQ16LmUlU?C(4;9p>E4J(`0r&NRPr{wVIpt&>TG2m$>G5{H|SWAzMf zAOEx`@O=wF5BM0X#3#mZAc6v_zvIV0&_DQjaVr9Ukr99zg1@8q&=S8Bem}w9!M%d7 z`sLA2{rtsByP-kgT-~c5_=iSu3J5OwbHQd1oXoQPs=)N!{M$HwTcHJI0Xm_d-1Pj2 zf0vo_qmmX6@BL_2jf8(wf7@sU3EU76j4bfLP~ci>;BUHWQwW@lwsFLCG_GUA7xAG^ zLl$X|Jk}`+Ou8~0l35z7JsDFgTh!6GcyDD!oZWf%ZI{we|7H`VL5sy>YNqj+PUE+8 zUN(X$XbyCt}CB45mNL+wJlh!@`$1 z=Alu*E#0YvASLoVD(6pNO1aAkq2!g!9YhO|k9$$7q~eIlC>rBSwnkfz^nO{j=(iF7 z@U}`NHAgA~lvdu3nx=ta+;*AE{ytE)pNp2Rz;eGttpr10r*0@?No-(A1y9a56=B(m z-}E6HN&;94zovm7Yp6?{r}Q8#oSvAo>=M`};VaSCPVblwIXPmIM+t%K`1z5Kmw^>H zV>B*&ds8RE5RjCRDkq7l7BuL%V0sM?xZc}BXcxRPA$s;~e-t=1@n2zxI*ALiAS0Bm zrqr{yVeb;ndc8yHg-L|M>z1_vTr!$OPe?W1+dD*Z{nM+m>p}Yo zN?AY?${bhp$cG32(%``rY#U&TJfBMT#Ca43)D(^b{owTImBu2LEWaAvU#u`Lf7;1Q zAJAmSuD8$0pg48HT2DzTpP}yYIP9Htw{6-;d}sI@{k$J*k9*nhD-9^>6=_$s_8QW) z%w)wnK9gV#z!D%z@G|>emfrFyI%C3&#+NRfCxCdBmoX9i%qMjR62px+Y5@4%0i1O1HrB`jfM?RKQKE8czHgS z(@9A~!NO#cC>sVpx2bOwKkYqBTv;TbH^C2&`AWV^V6oHuEsRbn{d&7rp@24mcs>%T@7r&T7ab2g0Y@7d4-N@q-N4w1TK_d>n68|yW%xlIk zSlvr_UShAPnsc_cx=PbOcu9)7ExLrtK0S^(TgD0}ugzMVh#r+|Tp_ioAHO#hnbmOA zMUFQ)aNR&m;A>?7x}F%{tI8}$Whd^YH9j2*V8(9>M1G%<}v#gqA z_xC|Dn*!U747Q&OXSMEpieG=%?K&!lWy#jt^(O=Wa{%vuW0S0lfvxr0zHSZ_boS4RH+d+goSl;tS3^#q9C#>r*- zm}r2S=SQaT!`e;P?Cj2d362>ZwP(dYUP`m(;_Gtb^1+CJWWW#?1!XU>55hS7pW!<# zJZ_cwQ}9>RgU1d3;DtJbR69$CjPm1C{;PPt66XE8B5opV-%_FN-j8*r`ZiuGkV^;_ zjeLuOs2v_|))91nl2O|xj@Efl@Ynj$nwks-Q+W#;xQ{HOJi;1PJUSWHY9w%H3&m6D zQCsrej&uTZQGM~d+|oyh$OAu0`w(A=RZX!v$+()Vt75o}9x7rMQ!!k#=f``fJUl$a z*&G>zSfW{gLxPEtejzT7X8%)Rq($qyw*!3TL7h(-DS1{`J~oIE3n1zEWw`Ps z+}hli;RKy#&U+n~7f5tgjAH9o7`rw)MW_t}kG)X@_Hj~o4u~YlIGSo;BpV4hj>gj9 zSk}N8>RuB~_nri#qEgr=Fdu5iqK#T9%u_FJ)#8E{na83MnX`gR3~*j+ThR%vi4hni77Rm;Slg5wFr`6-O=CS*lgC3;^4TosJ97Rm@sMr-#c z0X8B>00&RoC6H@HGwr~!~X1pU#9lGZwrgpTNVX$quoXDvY>?ElPzXBpvjXP#}(sCSS;Q#n_ z7rYeGpJGBUD}kXfKXqY<*Fy6W-5dXI%yk`c7P06fTy3Kf#)xxH4Muu3P7pfn&EZH` z=D#;SOCNk&s*`%U4~D5E4y#7Q6u0!yaTIsj3f<7{A_!9VZF>l{`xE`44Xj{<2ce3h zZK1jmwQu~yc?o>bj7>_w?`A=h{&uz8qlga;GQ8)@uQwDBgV_=mK-l+aA!Xn>+E#kn zc<5jG2Trr;6G)2v{=~1SB8er%uPG6gIG8<%L-X2XMgZki;9_eYC`tWZ1K;ntz8AJA zpde*{Dh*QZKQkyB=X@{sPPd792{<4v=(O?W-c&+cy0UeH#h0~DECJW{WuzpO~Uq}A- za#5G$LhL!k$Fr@wuFn&kBL5p>k$2swfSxt%lANJh)#^X~EzXYPNgrlNAvQmkjU4aJ zyY>`lm@sZOQiUn!8;@>&j8A}~r|C#_g0`lj>>b_oeWIq|FAH{j=dJrwnrZl4V)RGq zD%T^U_5-fQ?CuIWm(6uG@DvgK&tYr}~dU2+L2Zxd21J z3{Ssmdd5Ihc@Xgx<>8W91juE8rby{F0PnDGF+JDxQ?3-489pfm-@i2-p02DR+mwY1 z**<*nsErriyrvL2nb#&{Qu=B{_ZHBL|id{3{lFcbhe-hFJMqbSHA2JvyQ!8*tzf{dsJ_Wl? zC^}v5iUfh5sVL6s;G*Qr(j^f`9{v_w*L6jvhJ+Tz*g%vv(G^QC5+rQac5H~r(Bxup zv1xwzCPuqkd(UzNFe{Y08Z9YEcLv^_l=S;UIt?ZAjq`-!CC=9pPPAl7bMn|m)ZuU@ zG+wVfglbpL6*;`Pe{igGo!k=(p{QaQ z>gX)4qiWSg&--(WW6a5}6M4GbcTaLCk6a~#2!pRyKDEYM^&A@Y??wVsh@s}-8J`~18H z5E~*`@2JR3JZ>?y31cMTd%oNsG>TaN&Xrbp@BN9+6i5ipRMd)@w=*-Pnh& zIj4%%rkt(Oa?{=oJ^9K4@fU!1h?W09UKjM~GLA&eD5)FQl7qAM{WxzUO#M0}wmHyW zZbR}S-{%zN_M#Czq0kAjq1(7k#L}sbn8*#JGqYK^?5H}$cXg=RU*AU>bdN;8G^%l8 z>O!iNahafTgXcU(dTq8Zry7Gg9cL>oB}`2u5PE+!Hdhk8YdyQM@LODn&pV5mg*}n|h^DN6AI5 zBE!Krl=_q7cNO$%CNW7`xaoT<4!cKq=9zpj0r&dX+r}1Lo0%#gmo_+Ziz*2-v>g7W z)^VCXOIeyAYlRYOObl=e%1X_QQsb$2GW#^XZq}4VVYYHr(dcniw#>N-d1=OS2|M^> zPT?eS8tuy-o+lq&6iE1vgljD!np&_#VQmvewkFn>Pd|%=4$D~8!-2wF+c1THOOR!^w#fnPDT?O>WoE`ves%cQ8vOZ)Il;Zd#9r}60%oPa8?6Z1R~WV?T)2TD26dv z+CoK7lPXoBf&r&LXzf6@Bi6ITwo?u#iIB4r)iv5BwP$k`^W^rR7TWuQPy=bA3I8`< z=;npB|0WPVL4srXSokcfE-W(1ZWbYCrVhYJV0HEOB0SzCSSdnS>dz&Rnl77GoxJyiMm^7duPXeo zW&nqLKC>QfI@9foc$|3Vs6>KSy;pYYT2d~fGiaxm+>OPTd-QQWMtwRK2lV0mRo}f7* ziWb=`CKBhIIf9%pMaC_zD~a_vR|CIwG`a$J=Tub_B>mW(uf$AO_4!R{o%vI*{;+2y z^z*suAqbp2X0G2(K|sNl&iBMvT4+Tz34+EvY4}Er6$m>A4%|O?+I2G5&nQbDUlm_DoR=|KpfFVlcXkg>QCK5DZeiMIX7~hg@Fxp#f;rpANe1`k%k8}+J(M| z*NGpXDfB>+3{so)GteAc?gn-B3wj9&xy90h=g*0>5g-{RZRprc|)ySm8jYZ_4sY`H1Ga;lhOGYY_NbPo>=_HKp*n!&lxMM7|)DMFko$&3Y zmF4+fjdB?Di{_qcQ$RlIpb<;!;8AQT*aAPChEYDZVyX{%VWrpqBo6i2&h6_Mx*RHKvNbhrA0QCVm@3PD1r z(c+tHv@2!cvMDac5u%*#_+;tVN9^s+pn6&*Z^_L7ccr!9S+ni?2GgkU*Y7RI1;fBQ zOQbRUGw_EejE=i;7)aApA{$3U!)M3{tPFGm?(f&(syE1b^B)D{q!@&Ml{@6z^SD!d8!xjGgbxem%DW5hDtfU}X?EN% z%a|~C_Twnhp$IzFOmr5uAYQTQbD_yx>rXa$9eOj6v$mlB#d}wNJ~5t+)<@|cA|#xyaw$>Hy=_;HJjg*|>eRAn`DSj4 ztSidQGp}6sQ;?OS%t6l{Zbj-WYv=vm(UC?Z+U&@V5DL4N!tEkVdh_I2>eN`fg1kXU zy`5+J6?OR;(;ccnZ-lVN#Fk#MDB)ERK7|zWI2+ z5pkN>xsuP^leF(t<@4z+%{=E)65g2#Ig1S0e|J)MucVNSgxhuhX6`Ya6#g2W6V7_MkbC0)QN)Nx z_Jx0vgD*SJi}W}h zYP!`z+rM}&J{@h&Lth3P4OaKa!wWL^OP-Sf)14H054-jLE>tf>>@7)0kIQ9OJpzic@Lt@!skMjsg} zJbx_BfLn6cfs&}6&TZ9t=;&mTMs98+Z|;#v&U?k}y1IVsyC#YHp>b365@MuHXOTL; zF*150ZLDvmR>}u{9?#LDm=K<**JWA@{Ebdjs_xGe-?wO6wNf37RbkW&MeM%1metRn z5t4len;t6~qO{RNFLE7G{zUq%mttL4qzAQPo?Q^}1rgT!uq6eT4`)GIWc5W2EPVXk zk+T(#5fI7z)2nHr)m_NQ{^T&ZT4=7ZD?JtwF;5N5Ihj6ii@rF3 zF}=VlJOx$&AyIUJX7qKjnD=?1yup|1tu*ON+Cmqv#+F7g=_oAA$S^qP(VUd!zIEC1 z6>Mgj9w)tKuu8bo{6_~t8yB0n87;(D#Dg4em7au4mE%bR@~P#?B6nV(1NNCGm+Q>n z>XT85 z8SI|S3@vJFB)x7|e=ou(cMnTX5@oJ*U-)jjBgWURu$gfiq8mB)%A=+Q;dYYOZyg3( zkRZnLx~#l@-+ao3!zW!Ti-<2rOV*3r8tG-6oQ2_XhztGFzcY^w)G##ccRJ}y<9}FIlp;AlfeJGIsA^Cl5 zQVL+OLjL{IX|$%g@JTXB8IygE60=dUG>PfX;rrn;+b+Bd@lxZ0Tp&q7fau%&`L5F` z1B+4;x}Lg@zb+M+Ih~9fII`n8nTai%{`A9w?dvYzUsJD+)(53ZVg$*E;s*1d`5cn9 zX)z~ns*k0c7FSL`uE@ij#qRKPIP~jf)Hvkr=EA}J~WH;N15o2yN%O(O5D^8T?>ZQ{9ss#2f@~48;k_gft@=lETq;e58+O0 z)pTi1g<)rrE|XIDUq85Gus~9=O6dz!?oHz^piEzX!vbQL!yo-=qmCZt`KSU@)2;U=9Bxt{D#aMPLuxH7Iewo~vA zml*OgKYVssyF?k35nuhii#u3JtTmIWc=oasyrEBBX2^F|2y63#mVwG;!4j|Xs8FJn z(-$RZd6XRaH#(#fj|{^%iYbnGFLN^&EZ2%S<4Bjur8;<`Oz>ueFYwCT(}LYMUMe?3 zNv?v+@Q8^O0lAe6ngK4G-ZlnvXYR>dd42l43XDe3{lW~Ipmy38ue+jti_EC=Bm z2VMuE;>&|Cw@ek|)CXOw9Sn^JeFTklvcZ8ey5)Rp!K4>svDRL}UI;Ot5*9VxkE-x)PrRd8$XF@y&m4Vut% zN&8*HhWH3YW_I-u4~TK8hIFm44tUkFjyuh9EnRtHelZx$6Q!xy8 zKTxy;5KTf4FzIdUsVx-aw}?Pi!9ioL!ePO!7LiJj;qUHQxhKP}YJiEBz1 zR}oKE^4yk!S&kSCzoQ&ZoQB#@`)nNA$E~|nhKti6XFW8XF?|7Afk3kTR3a1FxNpff z`8RKp-A_89InY?hkkd0tn7Vw1HKjKr+71FQZu$8h(xXu4L_u0Y$L^=@ zQ-Jm|+rE<7yE#e`V5J+$CgT>dRW<9-u(ge6W`2_`ZLOowoImKl7W<+Hb{!wMHcn(l z`w=c7_kMxvQ^{pwu3942OtcH^*X3UleTBNyMuO*xow+z+U1x>LINqeRt5Q_TCnHq? z^PmFDLsz^(`Gzdm6>@RCvt#Z?V=_Tf8Q}8D=lIt-gF_CLq&b96HJGL7XBx?=$#rSz>~(2BjO^{6_2FBC~x*NH65x^`ypG1lMk!@6Bn~G7{!a zz=7d_ejm<7KIV|lq3Ad7BeAKv!lnP|dV;Y-6IVv^TPx+S@EZhAetG|*hRYKN)|{GH zni8`~e^i@V_7A$s4O$(7dAWzR6le|qxl~zgQ5%k&UhoT>HtG|QgXVct55ug;ltUI* zgj^MYZEBH3inQZ+(?iEZ!hO#gXY>etG&wSk-U}wsG*AOtj2Nm+w)Xjx*pmn|Xbd|h z6(y2>D5r{-P*|h2GYI4YSo!O?HjPuA7tu<3kaYz5P z`Hr)0`S|M3;=^=pRnb5kF7muTiSL>k%K#p7@qDHY9HDi2^^>9)3 zE-5CZ9vnAnit{nIt#2>CoGV3}kMN2TC}hlhKfmy=`pC2q6yg~tanYecq^^(jyvjO< z8a`yj@Nkh|7@9V{im=Q7iIgV0o2D5|c)Lp9nrtn}kd!e!)bn^17ew>g-uZGvoki$z ztk8qe#sTR@&7GJFmq%k=w0hWNMK{GpmYJDEwkTlVuw0?7?7jhpp4uCm9Q_dLZ+(;XV>QpK7DK&2Kvh z;*ArXzqq%Qf3UCGkVYtx|3C!6CC?wr%T$4-iUZ!taQMj-l+R>ZR)FQN8*7~5o9B6r zEr<9PZ%G1yqm3haV*}*lyi9(FJ+B7(Pkst4Y!;S2MvRBo@5GSwC?|bVAi?f(FuGp0 z%Er}`6lM?bnH3ao?8;a~3hCtis+nDU;3D~6_>{9}L6L{ItpYVahX7YE1UZOrq1pn) zQ6`Rh&`35_7D!SrV3ue^i785!7i#U&7sU3`}n`@J!N!K8GNxA6KVup;1{YHix9sikZRa4sQXmq_j!3W<8wy@KA+YP zrg%z!(~%Av&$HgmVi5K2Glvyf=$_SS7Wb@;7#Rre7Mg%atV@F0K5TwAfK0HpLqa_Ott3G z^eU5P0-^oBs?^ak{^8BjkfOQU+4u#-rVu##9}t30YYGo1l=5 zndScw6oM-!X)V&pc&3m6Aqj8=2kWYM-gZ-fAQ1>55flXFFLXK=2l-2;5Oq@#sl>-F zB<~cnQ~E7A^*rX??lj-%+-iF4eorwsn!WHes#{{F~Q*ftKK}8?}0Sht#km3?U zLjpjMK!F7O5pQpc-p4>+(_^4aqnyHp6(cnHK^Gjy1?$&mG=Tt{Tofb(%*3Mu_)7sm zLkOIj3>W}FL=gY9`zN^*Mga2wG7QMsA3z2LDU|G3QK|Kx(~txKFq-T2Q^S_1~SMY1rhD#;Q>ep!JJ@X z`yMWjpbt9M0SIGYj=}ApE%B~O-=7Wy@KXshJ{em73PkL;KSmx7gFc)a#vfFB@1Mg2 z>vBIJcwh@~Z5mJ%YXg8+4dVe`;}c#G;cj&upikh=Z{Yj*n;HS5UTD4x&0 zn79w{1_=19!V;Kq2SX451oB%XxGi5n-7lOR5KxB#v< z(%-WUDvMy>7LNh;xR*jb{0V;wF%&R7sF;*why;*<9bjs6N8(M*-3VW8&5rmDJ-UXV zZx;0!%DxW`5Za%+?=QU~Kg$p@SYMl0AJErN>;5jaA_E3M$fgm1D}xwE;#1z4I>yPJ zS&U5&_ZGH3=zt|W48XVN&!Y=IH9ZB?`N1Rnx0_#x3QWrK@)XFA@)v$qA<+c(9ytjZ zLLyqyz=X;lECNbWK!`Ut6d#DMIvRoBHcJ9rd4O~NaYMQD+hE?`3;tWZ#(wZOHyRxj z)g}gjTYjuou!x|mdj7p%yOLkm_g=^^wdCKlkzZ~?m46t^UDKW2m)}7c!9E@DA0mC$ zf7160J@Akmpd&w}X?;IaRdBEnFM^-V%76g<(|>}(@Z|;sbr=Yw&!EBiN_#sDW&GHB zw~wN9{;ttT)*3@z$P(4znF~h zHV}Y+S>by^P=jR>B09J`V53t+sK*~#V}AyOhyi^afHf>&05}S_1w9+kAQHdc?IK1OW^{v46}-V0{Y+cyyR8)U3%}3{}&C+8g^ThaaJz zl*;a~PHtC2KWZqg(cR14RbZGC*hcakEV1=TF#c*NTfPcq{TC!nEP`w;^O*3~f0&$6 zd%2?zP77pSwa=?kb7qt*HFtL)$&VyKa-Pv>B zFybpT6qm*OBxB1Vw@mz581)M48i;Clr0J1aVG?c;wTU!6?WRICni6&Z2!VM-Rxc=K zGEu@#7hw8{!0#8J($#@Xu9uEZmCUgE(D5?pE(-UndP66c#fn+CsEt z*N5gE74hVd1*Z9T%LcPoQfKCQ{>i0k;X`}sNPNm}$=FkUsz1Swvj@bLqWv^9twy`d z0SNwvsbM})clKK#ZqM59T3PUu$63d@&%`5ocyDBNHLxb_Q}ZHSS+el;O}!LP51n#V zW-k7%Ao}u_y;dUGY*XfdX7V+ATfFzQ(9XQl{o@!ng*_Yjw*Flwv7^#DLyH9SedLaD zV3wax5I($`E`ya^5E4yHYT4Fkp>fi6aPC-T+Yq>^ZOmP|4_?GotBk3)lcRNJOSfG< z0p$Jf;cO-Ae@Wah9SU3G|M4ECg3jbg#Fkk<+_Yv79uuoG0?kIU{o`s;Z>h!LEAh{@ zL!%{-Om>=4()?1aYf6$ztyDBsf>Yf&|DCuBqw+01DDsfF2^a~=-rFSUP{D^l38(97 z8EINE^J_JRFO<^UU+B>Jy|$F`wMMosu)b;ZBKn8L7#d9^=5$gpGpIOVD~RG9h1G%F z6+ecKog|U6AjnlyJO*b&2FOi?7nUQx8iVydt8^Jw7H-WLyK(fj=XO!nJSHe0;DYhC z&8q@28np9P&D3o4-rxe<4P6Fo4ON2#VdMBU0u+9ykieoea;+z`EkElfCPm&!5{ zxgz!+-zYJ9Dzspkne;23w3w{Orakkz{qZ~f=-b(GYzuuWw=$C;< zE*TzdjmwK&Rm@PzcU3E~!mS}HrtzwB%w>b$S+mPLBu%5@F8UF7qvYLX-_q9LnE@s< zq5SfMrnxF=dtx1%9f8Dh^!=5|sHe6qmfIKw={#~81of58*DU0ECX(S0-+u>#!-K3z zi9x2Nr!%_c9(;sQ9G zumw4`c|JpwBqI%dU7eRIjO}gZsRgPsGXZI8*M@UKLS8Wyu53S**p`j5k4- zn~|wsQ$ACN*8!A`$XgU~bwo7U?umQ+)*^2Ac&?tBoto3HoNXbxNVnP1U(gD7HvTxg zf#1HQw7#K?N{3$o59h@O9%Q;Ujuk?ysYZ3Yvh{Ab{Fo0V!fM=5cnFG3nox?8cB{yu zj#xl%h`J8!i*pD*NuEvX_Qzu*oVQLWA3c>+N)mmg7IvR8<_u&rVgq0TdLCvlT90U~ z!fv^*reEzt-qbDWrW716XV2m_2Ol=jYCpm8GU+zgIKIEa?mhjNWspbwy|fMq-eW+) z-*j4jG_Ivgz25I|EBgF%yrq!7yL~h50T3#hvLzeINl$5S~pFW}9iNiG6E zv@gs&(6WrdOv#R2!;WHY{iq*P^;DKb_6ZgVMi(YK-q4%x-)}2eBlX7U~W)1pzqJz2Ipszig};q9!YhIG@I!v$G zK?uH3#OI?{h{?Tr8+XK1BLrXXbt8TiC_gUt9vci0S3wxq&?~Cv(i%9bI-Gcxo$HI4 z&rgB&a@wPcB+VY!Xim;*WE`Sn)m&1}BtX8%nQFZhAOa3+WeErzr-FLk_MngEY+^f! z>KMEdE4*X}^9=$v$;c^p@ifDM{Dj5)T^YZrC(oyXDimTThICS<5!mEz{&O~I#OZln!x5Ao&TiQ9U z>E+5`GXp~aYj}RNkorwy+(&8ekoG-q?^AWu>wE)jv{u{hmojDByZM=5zAmB3{U&@z z<;LRZo7fxctL^GP+txLzBi=5O38{rYdYHT$E5lzp5)AUHwYY>7$d!1pH9SIj4E}Da}*oxrU)AhS`_zY{T_5VAP#g5l9w0 zoV>Wz=B1!mzB8o#yMVy~S79B`ff$Ej*>vyi!mJ}L2E&ZA zx__5%QtlRD)3c)b2n;d-7ERZ-h zK;Rak{&?SUL)kPQxBKrnzz&krnQ_J9=dLhS$bd&nM{ITG_}H_*MI;Yy?5K|LFzP(_ zc*PqbZ>vvfn@uc2L}9&%Z>|Q620MlyiNfP#GlX_64uH=>7MoQ;2xQxU!jJFBU2fan z3Y&JGR4hx}cGr@gLU?OjNVn_o&G}q7x4)3VZ8oigdrQf% zI;egg;ex}jbE(PhXNSsm+?S-qHYl@S3km1Eu`K|?X&u3~IFEy!_q-3!^M58>l)pOG zsY1#}9W$SVm=caEy>+UAT`xN_$67z7J|cJ2d>U}MfIMGW8(mEx$w{iV)A7A+WqYLe zp1Af>V<{D+2t%(AXRVYSn-?0WH@kP_qu5S;QoYHia?$ZOu=ZVgoNCxLtPc5mxc4>- zAXO*c{ln5)nvgaw^hH|XNT!T{@ABX19}U5IY><+NJK-MSQv*voClv(!eNABN`l|oaZT$*>u0$1++FioI1rM z$wBD!HnMUKj4{pFa#slw&5>&0s~yc}j;Kp7r{GO$E4EtuZpFl<8d)z^M2!Z9uXCXn zCh+cIaQjGrxN(re4L6dGI7|kaowEvw5|vaQ@0fhsW#Up@&J{qa&Bnt5^hxmqo^;(b z0u@bU4qY{P><1-E5y<8bIY;TjA()Y@g3x=0FVM>Wg!rL5+la<2a`vFO&zoA==2O=_yZYh)IBo*0zioLdEjdSXjC6G}MIwACU~`+@?Wu5Ew*Fl@H{)Kfr&qo9h7Wp`!zv!%+R~Zc@>7HitRWr z!I=gp#_z=1)>P&b(=f8S1}!Ne8=r+>Q>bG80~V4XYr-*4I0-S4SyUh?)%T3kQU-`EV37gT=3$VeSXf9H{ZgBX!*Cn`hvICD}i0D%Bqh> z?o65Ss*=AIJ%8@aYIRRmT>ApjLG!Fgus&4O(#WRG=}{~1@pZEwo24I=n4hHF?-!~A zaSx`CBqWP<%5x_kXReSO|L)MxlkALfv@#dz*@0mey`)kzpZ^L2?YajGb0O#%%XOjd zU7LipzTRpKs)*F;Ue$XEx~UO)_#b{h2LFsj9zAsq&eT7t7h6QyscSi{ArB7@tR~!Q3Mg^P&GmSskm=XZKcHMy?;i zl!J;~h+{yz3)RYKF`t#$^;A>c2PoRBFY<-4W%oDd@xpI5yNxKnv?MdGYGR?@lI-)a zEWs7Ia|`>{7u2`Pc_^CETa{fUpXwhIEF>Nn@=FQo9ona0VZc0J=T|R2gl>CSLR)5r z-ljP<;gczAgd?lg=V$tr6C!cBL_Kosq=hSs=oij=g%hU~-nWwlJ7G^BI#PZCtLb>S z7li{cGsp3N0KeI^s2;EJeG;V6(po$1RV$AZqF2scde{i~*-%xj$GchSY>7w~{y7q) z$@XqHSaUvX=EoV6NMmte_FF{kWmLnhb`G6fbF@L1SFqf-NrwyYMHERFWV!)!tAI^p zQJ9@|=Ig^hUoa6%ea9hnaP^eq=GnHBMn>ob6@y!G?UU7Va_@rjN!PG>e^)V;RW4B# z_`iyJcb|?$huoTv*GjXMT0kvW=@XuhhT&l6Et37DY~QPo#<|bZ23nneBlghjgv@3v zdA@KmNEatf{>)^my_oY%z!hufp4%X(L7d*x7JH^OPssXss6%XsFV;`#Ro4H#t=?Ke z&0C}Yhd_a&H95aj=VaGSe=&H9Rop`;d?J%aqj{lz#d$A&>KNSO2+{3pHOshk_H^qK zce&|nS{KD8Z-Ln5-1*@s@SgyUl7vJ z4JtwRx;T?}NWuWCxZ#8Pd4}8M$=LI`0g50wrJE#}Y@i2@L4D5|&ytJM!1mrIRRm=CdzQ-;Yx2kB2WOwV*m{D%8bh!dBL0qYL zyXGL1_+-z>in_Xacv%~4-lQNX=`;-chySP2t|hsV^~B9LF{+eXzu*5up@&~TDry#r zpXWEn+YT^;smGD!Vweu|AB>$-bEZ+0Mq}Hy)9Ki@ZQJVD?AW$#+qP}ncD_ts&eWjh z;{1WP>YRFOKWne&I#I06>}}XWZ^^NhF;+ZWG#6O2C38`gHcIu;po@;biAQFH6bI`@ zazBhPM@oucH&HWIE1q_dRkHjJ8g6A;LJOPyUXkp&n4f=NhcaHy=WaOo8Y5p@7F8JQ zQzgJTw{zFuMEcdLDthFRG8Kqo-@J4VMe;zhFu!L;pw5zfEe@73B9#iv($SjO^$?y( ziq8n+2$6V?c8?5Hv^_U(=epekILzz%Y=J_(2e*@>A z`3$bps_YkD(B#8XC>0;Q{-Ydu+ z6}FSWRpedW%bA_-Gs=gc!1rL`D{;2-9Ut4nhX^`5AZFB_kIIjr zACo+z_;|u!9>f4}ZhQtB_x=M5}QnAuM& zWmAqSn?-HS#O=&OlG7Y76orit#1B=e*X`=klljEw8|UktU^e&q1+iUv95?-r$ol?; z%_oJFX_|4zt-q4U#V*T<5c(7Y1||Ni;GDw_Jj*NE-F>j*75^;Ouam^8+>|v$zpOP4 zqCsVCoD2q9C9hXS?{Io4KjK?Zpv3#ibNudLi=+^UeQuBU}s!MM*mR3JEty zvO2{}$q5(c+}1=t)A_zb_Ba<21Dlns-nUMBe@?yPMo|lg(@zI@Q2S7 znu!fJ6AEWaMMJ@2rko~l9MWcyvpmC!Nky3q&D69Lpi?s$b}f7$K8r)3qqu9nC+ zf+T>ua=M#@CjU^|0eZV-0wc6y#4=bxxH}%sw@PCmryRkZL!9+1D()wZnIp#V)sqz| zfo`Jk)2VjCffbZutTJmqqt&gXRo6eg31{W>vheEiijyz#nYGYEwNcbh$;laUL&4^% zvaPvy-uQ~Ivfb1o!ZE3sy3(6>qSgB-xXZCeMnih(Bmr|$$e9^EHhM3JzqASEyw-dd ziy6`AVVWlDhi~h$$B?Bqn>H*Q+T`uQXSOiuz$g+5+12AnR_w%)ZdmV)Lhjhy>eA&* zsz24WeKTYLKa+y2S(t8DjY)0X#)rLk*X7Z|@4Y;XEH9(nzGS00saUqTwe^B?bNkWr z0i3-Aj_+L}1UtQ!4OUE#hp8M&A*VU5VJ$ZJUikn+HIPOt*&GWTje?vo3Im{eq&hK6#Xd{PH*!?+ih&(6u%7j z57GTR5FzOGfW@{?d^tspZF+wOLuF)G&SINMueH+#N=G=YGpEy4 zHVp=SLI^>qpBeqeJQPZ6?fH`|i^BdMtV@`_Y9x6uifac4$>?<26@U8lFYsAoDQ}K4 z{=M3ZGoEEFx%U9&w#SKw7iuR&&lshUblE3BhJ1-%7z6+4)_yhAgE?P*kMDiRt0u#@ z=Ai8b`Dn8sVOy)4$7}4?nw4IjGQKIo9=9R(o?^_>Kbw>m`F` zZPjM8>B*+^Gr&y6Xq9XjO^u(6`h-*uM;<9y9@sL8E72@3Fnr{ow-jsE2Y~jnG7fnSq1%#&D8v`PmT98K z^9vd+3em0o)Pk8eT?+p+QZ;6Me(EYv0)`~*pBS9@M2TN3gNxtluOu2Tun9+AMI3Ie zmF&?>PqgB&?&`uS z)@cOaS3RujaC2T*m?wW>le-}O{%6Wx;XnkA(72(S(*WO}pMc-0b)!}N5*bx<_t5jH zPdA=mdRbjFhgIzP332ygzqv0Ys-^sAvEm=?V!&`SMC#OLCQy_-Ne+ThuH|etlYp6( zIBzO|MeNNi1?Nl-j#VhJp%PN*Rgvfy1DkTy)FO18e}6ND`qJG!DZSG~#tKh#k1py}WEl=pEf8%ooh2gBoWcKT zyj>2hAoJ&OOoq?Z&`pK-p(euJ?-800^dAP2EO0S8uF$UYb#!CDBf%%v~*Ae zPvqYEhLG85)IeU^Y7q#fbIB6YQ-YDb6cCY#OKCr%X0+_rM4B|9oSBVuj!HY|7d_NixJxg;&(O)RjjpQoG${M|vGC@Xj z4pG0BA)@|hQM&B0jJWYyDsO|0ftp;a$XqNAuakK!d<(xediJErCme*vpq!4UZdaX~ zZUlSanqF2Y{sAV9ATRpw2`M|n|1%-wU}XQ#iWpWVb|QKiQ#*5K3nn6VMrPLkRT1M1 zuA-v-!?sPe%}5o^07thS&9cA&2MWgsIygrp(Hi6&o+Kp!O#&q)?IzVq6rD8Sx8!yE z*?aq1{p@pDZeK2~cGS{GbFvPb0`=buL=AUQfGgGWR~_3Pge8R|C# z6K)sy2@L0u$&*0D0{Q*ki$}y;;fL5sQH;^zG7=-9MfEK*9i4^9T0vgQI%L~?Dmlq640#Y-_3&m1A9`aKjhT$YFMAX zbKNUO3?TZhm-6=H$@H}zng0+i>bPk^7?3UT$lw-l zKF)++dmeGYj{$-Lnt;k(Pg+_S7|;cR|AzoxK<@(XdxxMOu3)dh6IcMi4vO8M*AvQu zXo?^Lfb{O=-<=19wt$Lr_R|ahqlX+I0K|<223{A;)wd_|GaeI?|KhiDHYh&e4TKSB zaT5R(*qh@AsG56f5dN1?{u}~6y#u5WS(4CQ-T*RRv9gND`=EEHkl`S2w~>KBM8r?h zIzmuLZ?`O-25b7ZPyk9bP`g;5t)E3Y&rHD0+9f^6pC57rg1%lSUV%JKSnxkTp+_l! z1%XIUuung-&%4Aw>>)oB4?iUDe(XgT=LZj)Q{S5azqI}u2F%@Fyt$%hk$mvHzXFp$ zfZZCzd_R#&(B{7$9e`Ff?p3t}FF-Wv?(q`W=9^|_Bgj>20+L>79#%sh+tug)46yuiB8VrF7RMj)(kuul}| zf^#x58kjrCd~i$1=l5w7AO)ZpfqY@0Gi*@c7bvp%TH|CSV4!GU!Cv)OaA1K)KQ$sj zMxZ&2s4qwXcHp260YB(lLKzt-AZOr0-)t@zx`gmFncO7pwqh_A9*=-v(E>_>6N8k1g2T z4gSzX_^Nv*XSj#&;SCK9<;)4vpTSU>I$kLIiyBgpy4YJIEVHu4KEXP? zNHl)mJq~-#5HtU&#I{VTfE@vO4I89sBi`&O?v|v(r3;<6a=DCDF4z0p&uzf`vV}Ex z1KQDJZ@VS+4qH-x19{O(aHco%%hq>7#@RX{0A8#9LOp^eHf@0Fx_%MP3 zFP8mR@>#Bu!W{Ls11HON+JqAK*7}e)Q~4PvkzdGc(<1}!D?Db%M9FYN%yeLGg+x zIQk|h0#g4sWF?`fxYq{70}$L@G+S-BgSv`u%oTmeN`n<7TqPH%rR~yT=z_Cs$dN;@ zUT&i(CER$kHtpVQ$R?~wv~)Wfmxs^2(;k)q$5=5?`sTJCdXtv8k=sk$++%AYnN2uA zCFF%XwS}^U=PPwzvEz|c*KobbqaYSPh5kU@1%>jhu9Hvo!xYCvPdx4M4)s%Uo{Xn@ zCx?2 zC4!6+UIKpgZ8DR?!#e2jI^S|$jJ+y0!je&v*fLf(1@Njq$IzvOEl6 zsFvjgYadqg-N}NyPxABlKt$4*xLu80*zr<&quJh|cQC#;rS0ri=FNYt!VPOpF&uE1 z936jM9N_!!1G|j%+cG^8dE4oe!70o!d%pf?;ULKqC)_kTcf180l^`CnDq3Q_)7~V! zMVT9TjIsX(aJHpo9y+J|YbMRzjn|1%qbFrthWjS>N?I4~rU1b@^j+GNU-_`%2cfhx z_TRIR-@`KTTl0M3i(+BdOq7cEp30Oy+TNsevCWOYdCs!4b-Km4In=cAT@Eb|Ay_5Xie=5e)o!Qga z^4{u!oK7VB+oe5Hfa@`eiY|zh)q}Wmo4hvPx@ql<4#95e96;RY3`Q^AsSiN2cpPuY zd@G=!4JBn5EiDZ+#LY6Xt#^iJ5ffOOIGVX9?vz!Nj&!$n!e&0B+p`ECvC+iI_`MR5 zu+iB@cx2v2=7K*jK=egbbiBqb$tPW(+Fkl+WM+I#G7qt}!7XgAz2~DY1=_gh@XGxc=V+?US!FS+M2&ADSxXO`y0{8SoQs@ zJ-5}zhMO=rgEyY?*Jl=__}gi8?7VYzz-(8IjA8il{>)W7FPbWYw+^=V?_%>wbq-IO zT^_qrN0hOh?XiV(cJxYxb8}L8C4OY`wG)+~yKGnn5C50;T}oyZaqKP1d1gP$wlZY) z0wmF>#Ui=xS=94eFME?}ipZPE>g$hB>}1(-nRR1&{b)O0#PKz*J}hY{wv5vJs=Kk# z_S>*O<`c4vz`MHbAjV4L*4RGPY{3wN(Ur+eg8@T9_>qz4S^Yxr2`-xOPERmS>Pf zU~kgC9G=Sr4Xh{vNTw9_Y6n37Sbg2_bJ8ZGAOzEXO0z! zWfQt^6o?ArMrky04-5{srU^X~F>+{Z=;Qg%9oua&KZHk#GW|Yt_Gp*?EmbhPAV8$9 zyRqKJ{_4K<}GU6to9l{Z_Ob3od&Fk_yzUYMCqn!l&$e*y-C@vZOZOKxV?W7)p6)boG6bc z-`=rub~*auT?LdV(vocnyZ^Pl4pqTmFy7m0FB2~iiTRYCF_Wkx`D>7^xx^veWw-c; z6#oqlm3`rw_ZxR%rP$fXtOchsZ86Gf4^gA=QT>(e@Ci4+`5-^g{#J{7Yxh|}q&r;I z3p=5Fg+wZZwtCLJgSlAorO##melTM>4l^a+S>iAE6byLsDy~`)%W(?--lMFLf+O2Z zVGdnHS@wrTjG=UzOK(UIZT)e--XF|*fRUME8x#}dtuA?@t+EQ1_^^>IW7*BQ~ z7kTvD-haPIgD42>Cjz-6_;OTj=FdR6ee&({4;8(Qfgb6@3+@9?;H8Nv52OiZ+{u^H z0C_m`<7Mk6D4AsJQ8gXjy`%$fO)>h2>3Xg_MCD`B`8ou|wr&LK6KUqut6hc_I}{Y_ z3$6xQo(y@P%BPjZ3bszadG{kgr3rJL9SuUaDwGAF1D2#>Y6xi;N4YM|W3qK=35}T} z6Cr|1GuMWh$c$77xyRNOq`iBe_&J}QvtIVG&?U8?q3nju6|;83c>1-~{Cylf*+=r} z4d*?uos{{Bx_^1X>d+o-pZM!qOE4Ucp@GoBwA(C?!tQ9Cv$$UCjqXtvloYl zX}ieKw@IcR3?70~n}_0I9Xy@ds7;CMFVb3+bPA?WAxrIdVikRHDUofJ=h}NVdpM$= z&DM|>=jv@a3+pJ_@%GR+k7jD&2#uKNleB8Hs}c2h2|cTs0|rsHzP6T5C^e%;BxLJr zwAJd*MnUeR7odjmV`|Pn>1$!Cdomj76y#^6fV+GlcxOpR%RLLwX@zP}BkZ{&SY-wo z)fdiVM+arj6jOT+cFF)%2WZ?a0yInK>8nuN=0Dwy+oC`1bN~r+J{R2vpRJ1FTtrAI zJEIuqPx9p;ix;0m6WZ;`c860;gd66tz5N&_C+^lg8Upo zf%?D_w4U$x#O>P&3Z6pNdZml~SR)gU85fi4Cr+1K7-+-NqLwJi=^Up0kdcFO18J-0 zM8Zv}DqT)%-^T4~ZPUa9VR1o+#_K@6N(eZNSe#3Z1K+G^*N34;R!ImQJ|A#%&x88}0o@BZm<1ebr1Tlr`;K>Q`9JT-u&bxUfo zv(V{6Lk|nzvo*0@vo}Z|NGFL@?&3ah-qRE%qkzlDm z7zUYcLXqV#wYcq~2kBldkFP;JWwDCgh5)hb(1m@iA-JWH)-P@CVB*Rq^t9ow9Z7w-t{V%>{XpjFEkaWvE;?SKEuI#Ms61VmJ^MG_iv`j`~Uw}&>kc3*$OlqF@ zq{(Ry|IvLb1y%S{OxP`;y=i(?s9Zexb;*Wr?)CloWD?yHu#wduO57IU@G0*tRLz)a zox7$MfXXLt9BTq|lW|rdJ;J6j%4vz=9YJh~?nZDgCl$#6y`Ha>lHNsSNns)< zX>L7?F2aXhe0JQXdVF*a*Tcm2rjfi7Kxos88_Yktnv}7G0;wf$dwpX2K=2Fp{IQ#L zkJr=>v$V;KA<#UXYz`_%F@3bgwqv6jGico?B`}+^ABX15igk(*bnqlUSPTbdm{_V2 zcUni!#7hfo3uVZm!RDPrH{LrLm)utIZ)AKst^9@0&?50X;0P#w@gtZg?N3W`=4mEZ z?BA&s%AeuK_}2GmHAkA*=)jA~cKKRFbD2V_whJQyY~7ZcU#}&-zq%IX)(VN_5mTVp zO#Z>SC;F_vt?W*THo`;dt9`nDEy1$h%d(diknD~;rxnS(kg;n3uu$KeevCpg6R?xt zasbxhI$CH`W|y#OJuk8XG8*9bLB_ncZ&^P!#>eF+)rUBM^NnqBYQANP3H}MrdM3j5 zYgFcYe9#zs7nNEDj`Ih8B)ZHlb9>JJ#ik5A6FHyY@d(N(h8r4;d5e^`1h^- z%*edIXE%DH5vifQstnyFULa4veb10?PVa*cd09Q_h!;e{b$ebk+7>0Eu1qb@ZBuVK zja!3|o}+Evz3sy~Y_<+L#y4@D$MG5|jWSlOU z$gwD9?k+N^B1ITf*_0frNteClHd7YZ>RZ%iEenVJ zu91bQ94Z?Y!du~sNw3Gb4U#h%RPf8<3-3Od5wG&5-*1+=jg4rp#L=^$IzVrH&G!)- z-1i((PdK*VQnnwF)6bCTvJgcg`*;oCJ%jiCwSKYofRhfdUF-af{#&k~WVk&p9IQI* z_S=>efJ^Y(jS3P`(EPxES@3j65h9c9Yy*maShm1-=&z&d_thS>=afx>xtAs6eOFxy zLi#mC)f{~VN@o`qnD%|zo~wDfE`_57*Iw5QKW5>m zg>I7oAtU|LL$xWTx?HXEB03H$UJ5&9-!8jKkKM7-;_}CPnNY!=7#Zx}j0-JK1yt)$ z{c7hT;hosL=Q@wN+ONGOE-c{jM15$%ptwxJ<>h6cfZcmhJHHJ_te}}+m@UbhG4*~Y z)Wt{>wDc=KM2xAEMtw+~J$_q-Hl-$98L}#+8}F*y_Iv26^E)X00{b++CUfOJDy*S7 zC43(5I#kLN$}M(}oKt78N)Un}a=r90Y;fZKEJC-&QJcBgVFU@ZTXc1}yHzbZjVW}2 z5-seM*f~+CNw@|M_WFbe-kUL-g$D8h-~>{QNacrmAO%to_ujZuCfDE#2p!`Ii2B&h zwLz)M-R3TyqF8Sk8L__6nErbHe`A^08nPHfT+79N(F7YvTn9ETDs zU1f0m<-R7u@1Vqzy~ye<)bXs0V!tY7+8bNX`mdAHb`si365oKnRLWho_`h5;?6J*d5K6SG{}?SwGd~W%DVANG%IF z8~|P7+;_hTFBE&bQ}qZJEh-_|^}?RsW|H%t0;I*+`C?zRvPE<3jHZu#UL02&G{?W) ziKly27*D@u_)SRL6ll`?N6pwMPnJGYCiA?)e~l>Bz})g z$G_eAJ2>2TGXA}G3M69iP>8wQkaVtO;)|VGan>a+l5Q+G&ml-4nBtB@;>{tUr#BXL zRpTyqEQyZ8!Nm$2PQfv*HIE}+zm9UA&u=6};d65_El*zT_r^pbR*kskeK$2)4Ss(| z$8uPp;BDvUSoG^WeY2uHaaL{c%`8SJ>R2ECsPTxddg4@XS9Umf=9cW5XH8&7H17rt zMDSjuz4a+`y-Si}0`!b#{lVDOj@C@r#i2&_(q&MK zHs$%)u~MFSLdU#@W`=*Bfis0V-D242->nDHw|Kag(ME^Nhyd8X-Yf~yd}?0zwE zTPhHRrUBhB_mbO7wY_vzk*dIbxp<;B5Ha^9KN4a44eyjQNK}T`Vf#iv&c*Q8&x6ET zq=1E*W1cwvZirk;`&fChRI@7HSVmoo(e`H@=3%+#!X0oxs2FMq0)>F1`uWx5^EOf4 zj}DK61BS8AIZQ&(9xC;8Q)m&#kIA5Bn6Ned1j4y&*`NHg9i%l88!K-j`>yvFivGko z%D_C6Xy-XY52x<)doxr37{MIqHOFAw2$FEbl-Jq9Im zD2%qA)JG+MEn$8dZEt~0RPCxHfI^TlkO@g;H3dVN5nhOvxLKZE*>TZKPD0m>Z=A_A zy)9qJ@j_L{Sx+{ikYi8PLSI%%DO9|+xjxFYsGO z{sg77N&_enGxb&3AN%n#kGvI05~ufR1*tJ<e7aDG(i=xx;5M{f$spDqrxmS=z zFY9^7EdzVko|UwTp8!^UjeFTlvdBrhT7NgG<;ZvTq=PA?C$orQ#QtE2*+m_Ru(A6a zb7sQ{n;;#W1rS+F@S|R(=GtOj0zyX4^jRkhVBQ6=UL{T?*MlpMK2O(&FZ&*IdT+bI zRg`hAU2{soy$?yFA7xynQQwqvj%sFSK!x^ler1MktY*UFXeh7XtGxBe`z};WQbul{ z^vK%!-m-w0(}erE?^O;Q{3lGPuL4@W^=nlVS(KK2tCOBgOP``;OKVcDlMOxO^Xbph z{f+Ga%npR9&$LxP`bpY;n-NRZXbL_8YV&F22I{8eS3mx=7(KMf^NF1~-k1X~Bu`E> zmyfmT`a*zcLdftWkMNwTTtKFC-D&a#c}w9YJ~gj9Lm$Wj?D$!wZmFcEXY(JsUgRzD za=vW$9(ADM5%Hy|V#iI4SrY;LyE}cd%tbD9I{Iz%b?_mOGE<~RMRC^7>aB-LiY{;@ zYQ0Z#R>8HMbCb)*!{zHn_unmXE>nkSY=7%J23!$#jQU^ZP$|#Ao+ciu3c_~R^$ar- z=nR$i{D4vl_M`s?ynyNdjTiiv1#DJE=KqWrFfspMcmbNtB3p5igybp-QP|J|H62vK z0!qWx@4C9H0f_Ce1tNSYx6q&_e-ffex+n?M=AM@Gu?e>$5cJq^- zlM|!W+H(((pB^2-8LEwlO1vEG~A)qD!Ebg+y10$RDN5 zz$m}{1MuO#Ay>sW40HsksPi0yL zNN@-ZJtSW>cwh>uOQ8NWIA4{#ELh-919{+c3~#j<;C{vJ84sXfBG~6=P@)ENWW5*4 z0r`1*mGzylfObttum$w}_f$hrVF4RoR^WavXdDuQ8I7`z3H>D6up|2^j0oT`;Nqd- zVSk`9W}pj*7SylgoxW}8k4@?)*q)2N%|+;Qu)20DkPG<60KM-x_X5G+3P2FS!Jb}# z(!*Sg@HiwO5Kv>F6$Ndqz@ytMb%v#rSRa>nsx;g_IQL>+VxYU#)7_t6HAmorBzrf0 zi+;Pcc`K->%A((1eq4Z7c}eJVh`S@qlz(%pa7mD$Adz8U6ciMoTfdTd@O}Ud=$l&= z*8l``+=ue@avDIjeo`M~@7#2Nj?~8_NcBC#N)IWb`kcTNV<^v+GTU zLqZcEVpJ#guO#ROW|Kf0ueDA_gM`BQ4)oO)>Z4u63Hm@3c!LoL=u_ZWf_NmX8`Hnb z455B~*e6g4AOSajf9DnK6E$u3@+t`d3H~}*{pCyibA}ov znqSiZNI6_a0+{~z>f|Y~Q>B?)(W3l%oa(vITvQAuNu>P|+I=ohPl>ZweC;<%<1WO` zam@&#wi=v~Qj1gi*b&*b51tL}@npOQ@Laet`@K&1G3^_2L7et~au(A8rfv?m-C7jX zpc3X?1xOf8VjLff31Hiku>-K(s_s`CiNamuiyMZs9x!9&j64;aLUO3CiSjovt!#gFsy`+9pn@B0*t$*mN| zINmRuF2S|(u&gb58h2n>==Cg=2_J4LqHrtxj*9J>j=OyOnjz~+9y&UgSP30T)g@WO z(Y7`9Q^L=cZ(g%+zDkI*=4sIPf@GQBFDz#)~MTWIuFyE9f`4A2DMe<%21^PEIowlkoiTK_ zPi=~>Ulb(l_}THo3VPz-x*f6lL&(v6e<>jKDD-I`2oul>4G3^a#hg8;q%h4lhBeCBB$<|2DYfr#nLsxvPdD+34M5pbe?eObq7I)^6(!!{J;@ z%iFBE$!bnt(_(gxC*I9&%&A1}in%<#%*L-en!ff#yb=1@vkhV6&BGR6=I1bv)oIwv z-NxxG4EbKRwkb3=tvH6}X$M+tzcXYXtXWQpp3=Lnru2&WixQs72vGIui|hxB&%4`J zlFnni7cJ**3w9c@Q2jKYO3p0{T!W&40n=96rdP>AJ9HmmRdtU-F);_z0p3T(J@%2KJ^tgPTl>`iOfq42?+(p3!&EgCyil_}dy%`wH?AnnVA zn)>AoPh~4A6!i&}cwS`4B|T`*VRe^@*;Uz@Vq}_14pMBH3Vb;^RChtx<{9yA)(9DD zWCJ)eQ|6qlh}Xm&fbqB;i&Ar-fmQxk2HBG_qKmz=k55fdiF5L6RN+VaQoi)i7T6nKAJw>UvYCG|UPZCkrBQ0ju37Z-L|_Uw znQ9FEqkSspH<9IbndEdA{9+OvVM_+IIJzE0Zo5eP9FvWOX7@x?#*>IUxA?D`4e_h` zBJ$*_BC=s>Q|L=%ClCK#Du9e@gu^=o=#R4RoUwYEnI&p#?9Tv)2L1Q+S z?NU5TidU!&Jmx5Hq&nY|p78|27ES0{Dgm)0M`3cR$QL*yb!(0XHVQK%-tCE?4 zn%s_M-sSS1)XN1mc>wQR zI7L7mZ>tpCB*RznInqJmMouTx^$qKFc1$VvI0*KgAAe6G&u7vr`1`!|QhtQAgtYIlczFZ ztx??zB#>sEHx?E`f%)==ZkmwP^S-3S&hO$imxs8VaS5-A!PHy7wism~C*3-weBtpSRd=)A+A35hqww@i+jw7NQK673b=fM)VB3u~hGr1z zuOGqJPm#H(xoGK&AvF{G@^{dwHYG03@PvU*j2F=x+*(`$h3_^+z2Eh#aarH-xQ_(g+2$x!Fx(4CbaR(Ui_om7oMY2=hWUOk)Y&#V_xS|vl#{e~o9%%TZc0k7 zd)1*4Y0mr z&F{vYz-v9R7Z3Jy^&7CMuH4i@Ef6}iH$y{6;>hUtG@RFxXp@U1^dozgH{1nG+)-0KQCbNJByy?>o21uI|MYWFbnea4(QVK zr$U-Bob~Wtq{)2$YT)_Gzf!B*D)~NY_-}6;ol#5O+(0aMTg?G@Ve2e%_g?J5a(MJw$b(5zvcV2KOiz zu>&&q5cwUe@2l;S@mCZmf#(Zn(l?D2SAUMH4JiRpu;Q8uiHS&v@_k>azbDeE>=7HJ&hF}&+GdZ&T} zJ2@=%sgD@a(RkHs#d~UC>XbG)K|^vyefw%Iteki~0133*F+fC^AW$zs;d18s$Uo`N z!8j@DH|C%(P7vTcLeWI$Up#*#LUub6lbcZl$zyM$}Y)`zL7x4@s z-6{5c?J;Twgj&css{dOr6RqirmTmH@L+RL69nBu$yw%tk;qc_M{-QgIFw@xTEUSb$ z3qt(rVL^}YEnUAyLRQFGI0p^f=XDU9zN{L)Kk1GyY1-=1%u}z!+SRIFT7C|q8_alg zg%1>T_w`<=F==$2S}2o|P$Tp%3jmsI;h6an0)5iIdH>w#7u2 z8WrK1tCLxUIzI8^iWCoo!lne2x$Ht|%oV1l>4-;Ly8Iati@e2JVw9D$cTHxEin6kN z-7!HfYihh^N&@A$1uMg5@UCw|?Me5Ut1(slIJJ5(g(#_}5`JtSRqmppw+mQmQbJLo zvtL=FugZrOm2M)9==?)8wi64OT(0SWD-$OvznOkG6ZhD5AZtcV;h~ntF}wD^ug8iO zb(+RJ(h%X)NVP9A7UC|%^Fe-Dy}rE0$-L=jb=mpyBx<1e@;_Gx5{I|k{>b-%1C z+zD{RX$y5t#LaNM#%M{gtS^Y{j{Eg_5kbx*eKPw>=F<=pMN3bfHRM(bJw0a3aV#R@ zH;mghi*p5G55N}Mb!R?>oIjj4{GO20{s_;uaE4o8kaP`HlCTXFRbKJzFjYeF+m3Z% zp8_f6_wR-?%8gM3q7PMrwn?ALsg0rW{xTyhlo33wV^Xrj*_+PcROaE}fYPtI;jf;K zA6|$I-}MO+P<(Zs(23;-crTO!iUHiuM3I00DU*^T87KNfVJSZqF#~Z#Rx!m<8sh`{ zEwGQG5dd;bnzO-yP3DAi)A-dn#rfiRF?5#Hg5|V}N@!Cr&`|-v=0k zaA=*RUuo9jA6?bO((e7Po(P3i`OH~%t{#4UC^qYtx9mc`~LGDs+K02sKDZ#tNz!OJHzV8bYa_LZMCu!5uS}9(jiE+1$g+V-? zu^#SA(&|Z6rZF{`?CYe0=E)_dhbZ4k$C{GS(a`sr^}gD82N-;jxPB+e!lKmEjN&oO z2L&to1KsU2EhUNTpkgb9X z!^5J3pvTVE7ga*b+X;$s8qVT06TZW(M`5O1-}*g2m|l-G_#KszQhd%p^;QQWK4UzY z{)&Y|r*(!qIo2~(areO$mKN5P!MQHNaduUb~TJ!+1W3zC?6jJ0lp~8u@V3 z42<|Kx`DDk=hluG@7RJbA?H_2vugeII)ql^7anqv8m4(XiH}AZzvlZGvhhq|gYo%TO6(dk0@j zSjK+NYapI0-|DM~;sQg=GSGQ*KgZW2!097b7~^HpE!g&0T@6v`~SJ4YZ3p&Mo$da$}xTiBiety%sh!IlaJ zCy73^Q|oW#eO9?5_#fEFA^Pb_&{AhkH4L=EEcIj z2mKq39Le{y85UMMq<>{hKQwQO|BAI6Y@?s9;)4aRhNKLJ(8?ILS=Nmjo$t;{X%;btfnNlzr#@*^1zS*{zO$Du|rc#3`$&f|Sjp>g13}drlIkE zr^i@_A8iIwbNfgfrbTKmAy0PE?Xul4dK3K^WT)kM;R7Y$f5Svw-x6F2WD2>%D7q2s zi{P5nCNP@#7@}xEiWM#vcO;y}))tD(*#!>Gm z2~Rd3yzn}karuwFC|JD%K-!*`u_b>`*CNDt&x%GS@%a`kWJ=^DEE=x>PyS#o+RCcf zZTs2h=6kWf`%W1lB{)G(A?_1$cR5kcORS&XcSVi2CN*|)k3c(`zi-U3rLKG=W#+5} z5CzbI4KQ`7HI3zlZ?A1Uc+<;(7?B@r{oAIc-8MgzGAV)1hF5ls zAfL)BYc|%MrV%&oH4?ygn=6`J%>RH(jNOCaivUgstLFGwcPSrIg0b7fIsbKS!#`s9 zR3(jmeJ*wG`}|UC?|~zFr;_~Z*H+=kM%~KDgmEE-;mNiQ{CSKdVrviLH%ceb>R6(Ii12VTlO;wwT zi_9cvcKuxz6%YaXIPb5V-vOa!8mX2owbXNol(i-HMMG>u+k?>+aAJx@J|I;W08G(qnbRQ6mS~H! zzB@?67@;8EevvSZw?{|1It6d88L!Hj>dy4-YunxT*&UON>ABp$o}w|Y)Yt1sVxSZL z!<84;`bY2A2{3oLrb#oxq_G@9QP~=hJ&XzRr9T7bw4b3jX zV-Scw(zh6xH8`{6NN2$vB*StKiWsFEWXDm+M@xh>AXYtysQqgCrIybongMUch`FR+I)O&J1a4W@pL8+ z#kz`#gY*XKVJ}C(ljZ;cHl66(H&q`rc9^tUZ-r?A9Q4KZW153BV_%^x<$vMfmz=WK zCT8^Db5LRP@iu=xe)nu(3@(JE%%$aY-`U^XRA#6fl6hd=MG8U3hIT&x)xB30$EDv~ zBiuG6qQBHUyz;V3SUV3@AH{FweAXtosl%vfzm+IwrDjmKtk}-Ds@I<+)N>TrVzRYr z(5aU|J~2)9V%dMxulI?NkxAM())as`GpNeipcn3td{;o|7;@$7iavm_*yTVKlVgHw z*MO#XrI%|&4Z-+8<_naVq_S;M@XlBHtk)=(KX~=0HV_ zHT=nve*iQyIl31Yd!M%5QUpGXs()!urO~SynaftK-4D9r-q-zuPHgKdymkpS$>c*^ zJo^~Clg@W4>zUbG2D`H6UA3=wQ$YSCYja&9na&m)39xW%6Q)jwUAzd#%YMjdOW1U1StL*YVdYVFG>pqAy z&p!1iM>OwZ{rFuwxs)vEy$=QDw0Z=+T(UMyi{_nCcoyuzfeE`*E6SpMO-1e2UG4yf zb+_%MMeRxE=#*9(r4TiafDLaGZ{rNu5+#|J2&-3wJq<4?va)hfvK?<(IJ{bByN ztF5K%EOjdOuGuSArB@^n;ty%FhcDEmOu7AYKL%6vz9t2^J;J%x^!hcp5mkE;9)%IF z89p#Em)jqL);~v8VZojn+in!VA|AJ}rl3wbw{2cDg`N(FbA$z+bZ3KRJh2UQ)o7ov zr(r}%Z_?hpYj%yx+#l-^^mLL&MT zK)XNzaOVdON(EZy7rf9mm2q}IB(HMd!o()tlYcAv;oIwRr>wJLAQ>(a?B{N63{x;@ z+R(@eMl2+L2y0?Ohs;3+{eInxFRbJaWYWsvHm{`z%@JF)k=t={opJB=gf5wk3N8>wMQ{RLcQ?q3OHZZvU<-PCb4IUYEEUd>!j zzB5F{?usyV@~)pK%Ov>32`O2ojGb-#tJn
adEKctN9Dz7B;fn0qrnF$(p7qg`j zzSdozis-K4b{+H{w>k$6J5fAMfbJluS%!$%N?)3Y401L`lGf55Mb$6Ow_OMGZ{&)JpGB&fGakW2REI}l z^vS(GEDiP4e)=PbVp|xm2Y4?$#BXO~*Qk;U#(KROAP7p;s|J)tL#%t7>MNNi8rV)Nhmm*x&ir@}`ReUu|AdvJ__2L# zEoLO#`TV_xGP_6vK>AuR!%x4}d1n2_ z?Uis@V3v%0z&qmj@f(PlfZlhBBV2~qSpBkfd<0dVv=HP!R%o&S*$gPwhOfb)CYtD{cV`9&ydb* z9sahKmV$&8^U{<`tUscJxDWa`rx^<61_lOTRR}$RBhZ?)Qh){!crY#f-f8GiLi`Qj zb;+nevr|_5M8Gfl!F;&(gFtr-Xz*acK|yr}NpeLH@(?G02hMw@w-8zF3|z3TSzz*g zQzHP|{@>MG(k(>@fwH8HYt}TulY$};SRg=%a4=amxUlwwvVb%w2>=>6e?*TO1vMZ- zQTYK%G|d3Dq}2L|$gY~;tFpdkYkvgFjcvp~F65&F@x z)yV`9vMJw)5wSxM*x-Qn2tY^`NS)RS127PCo`ryJR@Kj@l)0F>=0HK(5&k*~0|Wv~ zELCIlgTgrblFwz16xD~Lf7vZ?B)_U%NmzdA0rlQas`l+m54)5A{vex$5a7(i2=)bd z>;hjop!MgFVhJfdzob{cG~;6vn~<3DIHrL)1>lpDSDFgHHU| zw-Yqr{YQT$m}k$TpSvG{2;%L=I}Ksb4HudC7rEa2Io6mCp--2Ba?DB*V(jm?aLV4TuK_#E2&$*aC?xk4r+gkUQ&aKuB>z zci^iPP!vv?`Q0fKH!c*ckDiAJl#eXFf#2i(Z5Sbw$v_CPYE}jM4pRb|w-`nz6Lp5@ z_qPF*2aoWOQUGc5)lzO769a9)df}lI!%JuCX6dofJ>O9@Xw6gY!PiMh$ONqLRO+d% zyxY@4Uq{foT6uJW{>AmC>A?@#m%2hm42QwaCD89>oCj=;hN^}!^^cCO@9qbCwQ&8S z{!C$i@WFZ|`wkWeFgaW2golIEg3QlO8yY~;V|sy2?j^O_S4N~QbAWn%o+Su~q7 zyXLlXhL8RCW`W_NY7?_}i4)-sTBEARXX!e>O>MkVIVP{*9-Nt0d`8FA~mD&rxI zt-usv{2g^39IuC~gVn@NZ1k+Big>kd)fVgCpk|rXkC2VC(tTD9$ve$ELd095$)MPZ zvtc5I$+)dIpC|2{@2&iU8P;?S&>r}M?dBM)gg?xU5n3$Uyf|}fz$JrkOLAsQ-8D^V ziJ_qbIag{CQfD&fa#9nmersQzz7C{8J4al3&q~UZHuD23t(Ew8moh0nBw0H70_(0+ z!?ov;uDU;KN8j1)kp0i3Xpp(w zn5V6!?Yi^az3j=V>D`dHfef+vr7yFA25qK=V*OQGyk;rNTBFXr7ose<+b2?9jB{`w zg_VD3*V0ln`CRP~Brf%SEDx}REmZA;I*1Qb(8@VB`J*#aS5DRxX^alNsU<-Uq5Ym( zTjCbfMCsIHb`m7oojG4Vy(R`=Efdp_iCeGLxarCtfW3WLnp9+u4UaQg$s`Hko>#E5s$Hf6uiusLZWeq&3bv z8t-f@Jw>Fju>CqLdRH=I!sWY=|b&+dM3Ok>h zx%fni9wXnMk4uccj5lyzY>ulkiGE#T$xMo)jJ zI=2xlXf(QcGf*~$0BXzDdbnO&C_f>IaB49ZOScjMOIjY*LSTEic1I+icr7-AspLP#xYs-_oliF8?)7^4Hw?{O+STvJ_QGoW!rQ5OFAVnrMY@W z>%r8##1rl-fA{;>ChuT9YbFwFz6at%aHsr%Rjgd$X{i0!v2$aeDkvp|VkEDNT=#p8 zR<*HPrj|PMD;MKvsS5Q5R6k!!>aI0hHy$#JLFviu%!}l~+Hh$>$I-W=x5P3AS*DHm z7R7GVK-|wyxoH#HuUkv$HGHakVM=THmX}N?)KS|jj6_*7RM zUDQ}j_XFv3!;m_kd$K6$Us{}6LzuJp@ZO6ls66pQ;PDuhlzH~I0rbl+@&TrCz#tac z5DUj~n8AR?7*OP00&@)}i4x=Y<;|b#`D55ZRlPC9)Dfa^2!WuVB+grhfp0Og0U--U zP$5I39*85PGJxu(@&{Ezo{^D_a2c~@gwH6?_{E72W=SFBmnd5b3kTy3p`RJJ&wK#S@wA2MZ`{OyA|WEc0Wb6ktuas$5D&=1MFHR2 z@6Bw0XbT!RV|7_zkLm{$2fDrLuw5{1J5EDV- z0_5W`A{;<6FyTRkBH*F$1C>yP`e!#|`;UQ{Z6MbmwqJXR~4n&*ZY%2!gnZlT0~?K(L{MB+&FPy2{lvxI;j7 z8UhJ>^ZL_ei++rVRRrJ$4gdi%WI5P`lrG=EIK?r1v!4zYq4boeS-V&0RH;Sxdh*gpQ%}4aN$3apQuNcoJ3@b?-IP8lDh#{#gxyZ*5`0GE%K!gTj$RRS- zR8N@46)uz1i+2u1NU=`{^Th?|0ITHnj_;KqffEkG4G^sio-Mra-E{wzNoH+bCyroK z1n-RbcjRa^NE;J-&gdt?ICP(ba-Whhq4BjLw}YMm2eOe;4$sKC@pbQzydg}A+R>KX zddq=+L|e}fH0aK->%I`u>Z!SJqbWFpb2e%8)_U_~Zx`Rk1?(&@=-Zc)g**!LA2h1)z z#|!KP=Vb*7PL?yrnvwbc3_I*DN1G)os<@{(rNCK>BH$`HsK97-nPrnj)$3E9M$mU@mYhnepxc$yh7al+_|zx2W5A zb&pJF*i0AcpKlT7uEa^*SSRC@I|0&K-j(mN;_upjv`@I(aWhXgU&`{gxrnPTy?jSc zC%s6KTnK}P3>4AHgAuqmogbiYe3VT zcvgY?NM|~XKd(xN4zVv0z-;YJNk`<&OsCu~<=IFtx8-J`6ayA0Qfa&TgkH>)_qm(;g~O4N+E`_Jf&Z9qF@uZ z-%Py|tZC7o{Q}~&WT@TQNsM2A-H#G)c-aHG?edT0#Lc;jpln@j8F9gg0jo`I{c0M{ zUqIYm#h`<(NS6Y-{VP5?c2|=NOXWDzsKsHRa+^d?&3O5ue>E9d5E?Az9Pd&9*nHGDeh zYn4@G$D!|vmTSGaSzcsanNE~&>*>hGU2k&q)ET8GKg(pg!7AGK7V4B)?)zPuy?oj{ z^{xH&DewIaA*G{hr5@_gl8m}r7t|>3qS9$96T*b+CLd`5apI+d9roz-3-V%HmF2nN zbu>w6`242jdmfT&Q6zr|MUJLbvHZYncl#3%qphC*dF-`HEXqkfI}c*gg-?AWSq6Il zt3J+Fw@2^RmKqDG=(|Ak7uZERP)P$X)xqF(a+Fj(^||?OX1b&?D=5%(JSwN>=vu}X zIGR?(Y*e9M&J0adcdEvr$tVZcnc!9V7kb94G1pHLR*Ii<+MgUO68Of@jql1n>`G2( zk6uExhwi&`1_nhyZ3)k6z(9X;jh>q(9zn^#d$)zlJG*!)PKP^$Z$}$jlXv;!_Ht|1 zCdtyX-8TK~CtdB@-#}|bh2_2{TE1#Eb-S(*(fcBj#CS z0NXP3i@X}MVV?lfXGIeUbA(t%h6Y2=5zrYx_V@wmwBY&E&`iOMS+YO})o1+V#nqsu z5(v^nM-L7RMCtd;L7;&w_za~4gmCFh(QH=2xd)%3K=AU+mQhpWe@iCo5K2!1Coy*H-MT$ z5V9Z@@SKN@EHE8iTrRh?kMG4WRS`0N_gFloQc_h53vAafD$I7&cfL z5yOy=p&$?u5eX2`<%y@W837ofmq*^O67%Y#5UcMK?y?hH8%+KEu9F}GEyJh+XHmpO z2rv3Nr{1&stKJNS9t0r-fw6#T3J{2K(q~PH@}@?jMS>8AgojMr9%=WBHxxi%94O(j z8Caim1;^(~kkw90)KIZ%?eWb_4j;$i>UMg3j{{X|B&j2!Y|$<;**9;Fja@8RMHJ!A zaIs>av?8~;5T7ar9mM znHuF=!H?OR^L=u!rN1QKZ73hMX?X$e5=~(@3OWuBd37F)@M!*;p}Kw7w#-joeICJI zL`<6zvLpNG8n>I@M?HE9Yy*Cf!A53=rb_9BoDKlWfuRj6WU90=SpsuLogp*lo`ui2 zdnl_XnuxMa_dYZB@pDy*JveX0k{DOfG1~WwT?+WF6WcVsmhwzraeD3JG!+`94xuLZ zecG9zz;y2ICYUpukB25aU^7^4zPu$9Stlu5VpV@Z1tXbK-0diIUj;2B4y9lJ+Vql9 zh*e6{bxiqggr?ExJg-Srq58W;{3T?GDP8Z~!eJ)`yga!`t|G9gcQ=JQhtX2&=aOJs zjnT=%AtX{}t%Ls|ZUNm*#I z1^WQ4=z*D%2C2Bd^ZYHd0q)hv$^?(y0d|-vYeLD@TrMs5)C7}!9=^2cGfm)okwZFm za)#b?!J_uC-({kwdxAGxHMdZ1;Umw4vOD9$uGC+e`Al%9J9>=h_1-OmFH6#Mqjy9` zAEDB5*~HubS3cX5&m6VY&>%3^I$V~zmsE|S!{RvIfU@0uInL3?;%RZgr%SE0aLuiT zB8udtt0W7NXuBdgdl5cY^0t$m-Y{~37`wOnZ{FeRa0K^aMz3Jd`s~HUH>$uF0@ue| zL{?M|YN0u@)kId8%j_>e8q>Px%|-90yu2QXHFZHYHS(ez8@f_%m0{b&=a)UhAiB#K z;1|i}x7bJ7yi1IYrjpHP@2ECa7)BV`+4KcHaVZCiM@#S==DO-+L?^fC&UQS$l{=IY z{@%^yE8iMPz1q`Q860i%qtnxlPVsh~tIC>CGLwUDAbJPsuC0!0hI=FL)w$Llr}54v zcH8fS+i9+ue0qs;OLrpemuWLDx#7afj=t3YvVao#Anzbc-;ghIUVd6 z5x!bUP5fq7kQm9=Kkq&$kMks=Q1qhXL3CK3*zL3`y7!%Y3D#GM=9lSm&O*eGr)Ipi`wasNv zKgM#W?yY@qJC}8t6wl1dre42{fpvKAplja3D`iY8QiCgquvRdHbJlNByuAl;GI$cs zH={tA1>=?Fq{uGmV(R^?1so`L#(=GQZmPjo{jAd4V$Y;6Drq(d@P#b; zNUZvS)IHDHGD`!cLyeSjn2)dIaB?GAOz+Mp#H)6!LYR=9X}K9);@?PGcDoClOjTe3 zo`(qOB52Zh|70RnvYVfC4yud~bZxA`_zsm9uI#Dj*iJ?IfsWj{OQjY~01=p$8hV+v zQFv|n1(?e+zNQck#Vyn9J866IlS!Pdt)A~6ON7#sXO`7ZrD_kOmicY7uGZ=71Qt|I z*XzKcw)f%=-yhKY0SWE@zu@8cpYCt7FtPow#qD3g^Xu&Vr~F|eU}k1z`R@czv=Su8 z()H@hjJOC@!XXl^_NrZu(~QrI)6K({*il+}dlXp2S=3)-NM%e43?SgBY1Zic-;!lK zxDbIO0U{za4QlN7C_GZTKbcaUFwm7A1T7PmK=E4>;*t(QJOGCK0bm&qfJ&f1vH=1F z0eC>!H!w-UZ*6q|IuaPH-$WozD; z21x)Q3Q-wmBiof2DFA#bT%0E3;zJG6!38E+GH`t2cY!+y@dkw<{>oEQ5bNKFBBMWM zMj)A2zCs_JNgv35%(ngZjj*Kj(bNMKnPnUuK2(7%z*rz^ zpSO1gl=fBdSSAt0M2vhU_k*z|6GBBTHUWW?SA2pMQc=I|%*#n;GC z*AGH}{b|zpixw0C63AH*>*rBLIR-)ty_05!JxQlJQa z>GTEVIxAOlIXncBuH*_nlq~(XTt62W=MrR#Xt$vh=FZ>se%72=*FmCzo_q-LmixA| z1CuKctgl@rBU(o&9G0mCYU;G3&hFi0vmqAcb~KZ_vFGz;7g=HJ7zY{2lN*%%8n}P= zaKL~S4fR94peNI`v&4#lH`-)vXB4A&j>%xCsco{3ASqS{ABs(%cBsv`NMgjjXky%o zWiKltQ%}_pPA$;Pot;(Ba`R}iE#9&y0CIQ4 zJvJ#yITSZv)HC3?vj*6i2L+h4C9*k_c~lCWm*&c0&k%n5bo=WO=K!g}~$`bA$KuRBN<%4sP6T zN(PbH13Oo~I;AAFHI7hRmfi@m$>M1o*hQ=CZIJOrEX-dpxERoWRs!fzzo@$ESH}6~C zE-E{~Lf&QSF%s{#eE(>w$C#xBeQk3ssDd_5pcjEhpYXdq4^Nb(@V|Wf!inw2rIGMl zWOwN!JEl&Pmh3Mn9UW_}jc0~txX}5TD*vb>&*$yn-L)IC`~Zph(F9!und{`N)n4FN zn>{<_9X#36oJLFk>#bq{K9W^G3Lkc$t_(oN959={z>|UHa|oR~g<<#jaE)#{u2+NH zjaVquvgRW#9d!1dz9RT2jfxQQmCu%<&a^0iWn%iKP`q#FS6(k*&rWd3DJ++kck46L zvzWdB)ILxzr|n)J3|d9C=dD3_@*FvLjF#71k=;Eb3gKVih@|e&bX*dd(==%39JFfT z{PD1OPYY82Eup##;wp0OD(N^#Mo}^YxcDc#z()TI5i*?Lu|M^;=)Wf@lx3wPv6!>O z!5Y)#C1N+tyaYT@u^Mq(IZkQES7k9av+YV>BI!O}Nvlf6v{?kOPZcT@K&CBF6z`~Mby^HRq_i{4K`Qkf-+wSYydy^g=5yYaQK9GHb?mc6*D8gXcZmgFBg`z&}#WjCanHE><7 z!8!RYNK10ZmXe+|#q13Jj+*;>QBZ4m2S@r{ zNk1nBU%rz7sykWX_13(t)l9bc6;;JGMs`HWro$tzk195f+t%CYDEawt#B&t&J*txm zD3i(?fsX2Av4{t=l_?T|*$|afOryzEL1ZMO<{Ku9>rt7VnkuXXzW?PA$99H zW;M%ts1p^Szu>DOPOVCkvFVJYwZP);FxKS-i8;h6RdAT6$ z;*J{;$LM;@?k?$#Le<4VQk4k@9mD2s1Ha~>L;|-GS-AcqYO*fRH0G`v>n?$gC7*DH zAs$8B%CqDymr;!$f=369K!!aI0Ak;Wqp{H+$O{Imi=$ zQ*dVtht!-jj1M$Ca?S-u>68G(?3te#Y7|G=U6^(6iNBiUE5+0K0-@k@M+qkICd z#}GtK(&2~Oy}SP*Z~mwy2X8)`h*;2dPK30*Aro|I%(PVYQVre;RjFY%?P@zL40j??z!JzVkTc(b)Q>iU_snk?sW2hszS+_8+U8FzP7V%&g$nuY(4 z>+ddKn5s0I7c=UMJ$9$f2Ts}Cj;>d0T5HZ0UZzF^tvAC~=AUBoI9+41rciEu`4t7s zI;Ly!>k7OXticczGo~HZCpg}sBnAwcX-U4Zu9F>#Dr~#g9;S4=F4dkc_-+ELwz(Cv zyT>(7jo#r^pbt&@k9hX+I9828HvqTaO|lNmf$Em!eEuaV9^si<6;ut+&v z)C^mE&c23Qf?x%j*4?yNbX7X!w(u)BQ_Tp}RLZ@jr=(4+o&WZZb7fpl(2G4_PODmP+ zq%lQ*`L)!3l+Wn>*wv=cL|JV-28;2wTtE6cjckFq{khRQCi+s5{WZ^V1-L+~+T-JZ zsrA%@b(y-#oKodYW}EcG7&cp!Vu%^*akm}gFti14-9ahD)lJ)OAQW?$MC5D9o*bNs zWQdX)^>)I*bG@5i272#!fH+UWT(@?!HA>p^T(7Nb@Y`B(q*mK_s$46DQqOENDnDkz z+s+d%r32N!i-E)FdJFCCN!~=_#Jr&!=$m5k%EZjfMztQJ$nkK|2g$*Kt|8 zM=n(fLp?W*Mxfb0JV(!4ISy){FuTh~1Q9>88k~)x2f*6LRsRbiR!t_j6~C8$nNl87 zyhJQ2^X~t|i8#ff2UanApOO(k~7fLVxj`M}epWJVi5%f4>% zSfnT8;3D&|D}}BQ(x2Uaw5;Op)51F-I3jb=c|i`DeV#KAc$aq0^*0~tJX=1vd#DG+ zCwM@LzsJrS*XA?|1JJASrE(jM)c2a4Q5wfR&u&CtmY%}ufGZyb`BzwAs`Oznhr#BS z?FbrNaRUAnwekb95zQuiJ&;kRk7?c82zTauLMFTJT4ph2b!6hiDE&JrbvX<}RX6N!Tf3>PQtvxy6q^;?uWuz+FRiV1cyh>-CFGL=s(cptty{r5`R z`Zl?_zjVyyiHVDcPo+uV;8A>Sc-%?4VZ_y|wc>HRc4Od58I`%z9(0Xw=$tIcG$4Fp zD#4G*1o^(nFTTdC1A!#9rs&;J& zOT=Uw{i59)vsw+fb_yH~Kj)xt<#PI)${xUQCuhYdLzn8YFI5CXyg8>O(-_=Qhy01*=!KnaQfLyZX3X@P0j`|kJZcsQlW^qJEecYqxN zfq~-Ol|f!%5TcCaMV$VPqG|#qi%Y=0+Jndnn)PL{PA1yIfNOJ-$P)$v{t=YS&+=3V z8}kQ1FNj-$E405)NGJ+Cyr`Hr#|YCN?t=`EWyUp^SA-(UgF?EK2Y~?%Vi1M{r#70y z;V(i_f!zRYOIsoU0Z9`03q@E`K(v$wf#mOr1L2;pp95qVv^OUJfD7{kR)s!enU~Rl8xr|x(}iM`7hv8)^FvY;ZPd8nW?AF>wW=%1kHi=j zHWWf6Y93&P5=yolgT@GyC)*Iq1WD-2J|8h{Fa;54EScW4gE?d=^vTa^ z8{>YL#8&@JkLrgdpP*UV)R`Oe>t|o|s7#t00z!F`;Er<7i=(a5n?i8;Uap%5DgSYH zn4|%IT1Z8}90+AvOd{V|oNE5o(p1^s3fD|N;5876Wg=jnZZmk%ZjV;8SyW4H3QT}xmEf2$GJM#JZY zhI>79Cp${Zd^k$W(``70CPu~R?Ofp?4edRmGG(WhTP5GpRckDrIWncwfGAvLwLAkB9QLCx93?eb|m_QX?$SLO4ftZ8!TZV35ryTsQBjnZX0^Y)a?0#$n_b>x?1TgP9j zobC!U*{?&hFjQ;V4=J!q?5{pH1!=4{0b3U(_=kyd3Bz z-^Ou^=5OZ>s#1()(twvOvxx>~+~w$t%UYMpBwEJkA9t(n_r1t7{m4Rt#KEp=@2#W` zj!{g%G&Wjo%uFrkhmByV72@=T(v zR^>%2-=6&}HBH`$EwkmjYAMwtsNI&GO^XhGwPXi18!d+TpU;a7>Xh&dXcw#G^4;^n z*kkF6>Knu&5)DBn@4)p+g#?X^hc21vnoB*A zTQdIQY)!m(F0AO`eWk2vGds~!(=*Q+ZysrehNW(PURnYt#vU= zYGyIx`2;aKHHsyFNp*fo``y;4FO1v8>|!bfN3>c? zD>>l|p5m1=^`>BmX=cNL!cld8a2=Wu_$<}CfT za>U@~wci2?>k>L)Xd^|o&F%WCrsT4eEo;TW^D z`t-T;NY!!ONm5j6{Sh6cmv&qR$muKOwIcJ$FEpJ18d z8k)@7wk&tY_tI51e5jb=?wgHip3_CYhx4|$=x_{hba~f2M^2(5m7lk~`=AjdJ}5?4uet^1qNI|Km0i0~-_Te_m)93E2Pd2NMAk z10%zK%S*NHaI&wRUZBI-boH&b*=(`#8gBWI4>|QngiSTaZsW_JTQAGp_lxgRR#r8= zMHMHv)i}g(?zPSePp%BcdB%BWM_}b46%|ZQOiaM2M;ZoWW1<;T(Hd2_=K|3h(=7m4 zW+nfKbYlN-%)Y6yF%Tgz1PA*^=az;#XHfYJ`L9g~`Bqk@=7vT`urls7uFnRhdXRtL z?@v>F(-Z)waI*kgeiQ)6;GRoVe+G^Of9wFBd#AE=egI8xuJpmQS`pY+z}fwX_r8d%@;#$Wx4f1bF!KE(<`4Ge+O zG}GIFqNZu8t_(1~hclD9+kySR_)L}9M}Hi?fX9yUy#XftIEsMMGSYvLuT8C}?TpR9 z@=zS=oSdCloxsL8(=s?Wfxm~lI~$kzQhp#=8yXv)K7U}p`4AOrM1SH4jqUE>eWHFC zHQK|pJkrvsG~2%iTPqtg*ZrojOn*4BIhmEH**kw|*grxO{bZMaf2vj{37>uZ5h3g!Ih|g>97%(eBM}`ncubhyS5_4l|RaJKl*RE5kL%IdO9;> z%j*-sd4u9VwMYh^t1o;BJ3rA#Xs-YMl^B^C0?yUfIRK`qx2*wWSxfi)fUXWrudh$- zJna_!Bu@UE{m_vyGs80@r$wuPBj+GoKDN|J^3@-NP}ygMa0;tC$7lHKdK#=q30XJQLPEHPKDd!V~4$R2x-AxSg-Mb!z~6Yqq)oRoV;Quail(Ae0u zHw9;D7KcvB7hxX(s{Ozw*az+RvTrqB14|J}4u}!kpZL5S=X+H&0g@TQ5@cT_ZO5^w zZ@Ube*iqw#fv0pa$aG|M4|7L!6xxoZ!_>!Zo#vbsIivw3^UlbGuP^P(ty0pFXIL^-2D~<|luqeQ6(vuf zn&iP*+PG~bS6lI2=1%)H%$BQT;`a_NDLAv#s>s+ZZ;88fY1?|@RC^%(a;@U^HlUjV zOn(HY96xd(+^3JlXWAs^o;N-VCTfXO-#Z>kWQdbwxoD`w`V6?)RR{?}+c;xqJU>_Z zc1QxWc^YBMr3cib^!x>C-%05MpHxwMO^ZG@CYLLU%XYN3mS2(P*4%>gqWDKC;|%|R zHDFw=MtmOKyCK$r^>!{U-_5($OUtad;-bisP$4na&(h@9j?cGKQuE63F{|{(s8!10 z{K01RV635ZxE308O=Zqtl1&v2nQKLL``=bTQwd9ViO}LegmHxL-@Iabcs}i?m{WtK zOe&~l+S~YGI2eJ7eEvoMFtwXsM!9QhG^zELMZ#8EO~ZoU>{OaAc4J0CUEGbR_kjvu zTc?*QKE1&tF109ItLa+vs&?R+Gxi?uz79l0v1z_5V8yXV`>3jeXUyy>X#VTS0COcS z58^YC_YkeO0`29}xIf%M36v_3UYEX{cQozPR}{K1K8feVv7-MXL7>%K8gSf)~KtGn~K--d~Blpv`r$*fOi9Vg+MJW}`8LW#AV3cG}4`nagi zCiY`pE42{+ZBX?bdf4GG+?t^f?jXS?fO?ff-PIO^XjPZS@)M&(zcj?=zJSO4}6vN zm}P7rjg+jtJ*`oZ?Q!;8E&(f?1sfgC_8m_Cl($YTYNRBKNH=~^0zS#k-d7e$uZ2(N zdihTCq{3y(`;)i`l0`CfqvO>?QWu1_&VqejNcPIYYbxvJ}Ta04ly*(U)q=yk8@# z>!gQfsy=xrq(6j>nrF$R%$^!=NOWHq2keL$Vt7aZ%fKR(7?1sAa@qD+$;g_pTw|Kg z4dE?B2W!2wu545DYyownN;5+QyM899wx;_RP*Vr)@XcP$c`A@tFInj#P#H-;HDJi8 z>S`adA42SD?$`ZD0Mgy<`*{9t$PO+kcp9rA-e2+BBWDjBYw_pWK)<2YHqJ%niV=0X zi{abHzy{g7lhvAp*hGJI^Hs{;D~LUMDp^?xuLO>3f-q4n7=Z6wn~Z?m#hOWv*FJz* zV8`#5u6b$2nnw z4ceMqo0jJZ#r{TxT;HJz&~pfup9v}Y(vM=)ujO+d`Q$4a+XbKN%hkX~hcpLC3}8pN zR9IcXkzr1Jz=lE!*nIB-_QL6CwXZ1$<3uP0LTn=_(#ILE1YQ{>_rbI=%>C)x+MI#QI3CY-AO+G(s z8Rdi`#k+E-lx`QC!98kS!NXsB$B=_gAoeg9$T*7ewaPO>>gK9yG~NfCQjX>+$d!J! zDdA9nW~sJwe?(HKIa8G;oGTe5>_*oZ@&=~v_m_MHtvGrB%T}bxv7Ib1kHWUj=hGSb zsb1z|AY?aC+{ag>-jLvTAUN({gTXPUcf7Y4!_)M^ZV&cMVw5_iKM5g~gO5@~YEe9} zxECytkcpMkT3|)X&QLB1^_;0koG1eMnnRJ`nH7_Bx&da3~eU>t=Ss3?=e#)|G zqtg!+;7m|A6?xpSpOuJ0i9+;=;=r%cHI?M`SR;rtU3~g-f;>4um4SmqmA!PGOU^0a z#8XHgm-TF+C?Rb5H2X~*pz?3I@TgS=ln-4EfGHrxp~fi8DWomzKqB#lDK}a|DO%ulfZ({V} z3YxDLdDZo45vUdXH-Co7Iww#NQ%%^s88Lr2eV`(GyMVe>PCTbXD@y+z(o=(NQT;$t zax-Eh)|a+Nn9U}s<_ZSy26KPVpdK=4BY6I1My>;q1a z>f0kyvXIu);=@pl+M0hVGAOLz0@-0d^~f39cO~h*&HTUR z5pxQrPGD=;H~pyB#JEgl*ogj$TrZIh28*Zpt)O{ZIba@y%;LeeM_)79Z6sn-*}hgQ ztD+m{=l(v(C)Mx?^8vJVXm`&`=FJm74~gL4Ob+;_PtAHh6CTad)7952d(6jb2PkKY zoIm&r;TK;l-MaV{3{)P43=oRS@Gcl&8jH%RtN1@^WMVaDCsGbou%Uc{+o#L)p_7X# zvzl(@r#Nn8^7ce)cK&fZKRU1+FS}BlgYzLQ?oPRbzQ=X8f7gBv{xpX@7iAN9c5W#~ zYiMX0@R|c|#Kcy9Q;DS%X61$K=!oi$jRh+A(Hvik$@#0`%3$f3r8@pBWQ+@Ro-=rO zgKo@y6*(8O!ZyxTu4px^EgK^g=WxfLBmd>|7wHM!_?3~c+__r#3f*olFo^N~G!{m7 zL^9`d0*M?g?GKwAcF^kK!vq|!t^M(XTAQMn&T1Z2n|_nBkAogsLq5<0Rf$g>f5|R; zW)IjOIg|=q26G%o0`YHwUj8r!!Y_hFaZq&%vK_;Erf_-)m(E(*0VMO*4xN0G7!r&P zfnWhh3UBw&*6B=EU0h4SB&W+!url6>nI)X6Ao%8nWMZkzVwZy2b_;=NLPe^-nMm#T zh}E3S$IExe(7)3E&D8DK$Y&< zD|qeHsXq(6DxiZf*kEA!RoRgI7B(9{*iZ>GIjK2N4|}=-(|t&v+&=du9SRbi?K{7{ z0|WcBcZ)VpHU&PsVl@}x)RI+C^Fvfm=y}%BFzq!SED^P6AVEZ^gQy@QKF4Uyr=g6^ z;SrGiy4))E%|zw6_u&1M`p)&{HXU}}Rc_mUCGgCH!3PDlW7e1oy3tYLBL3byrnT?X z&;xI|Kpy9DqJxPjH4s5j$N(m8U3euA{uupnZ+W+*cMJDYWQ?QkZWOl70%L=dv3qHu zM|dzQo+57aoKSbKP`PU4?Q9cd{m?kz)`)ufM%8M0Ui%XcjU_kNt*rXy!{}G|eMW!) zgO=_}&XPXjo0&pSLg05n#nnSbr!#@tfLTszS&qfIhY>a<9+~n^yej85=GAm<6n`gl zdTZ*w-h|_+Hx>1Nwm}6XM}-lGcMG zu1N_zyx{p~$>y{+t_)iMrQMx=N;vwh{|!GkGKTX0M@~64vUdC^h-G+I9sYku&{qU$;OOvGb=6H|`#tMu-%)4`^4J`lIirw^W%GBf_PF6wH zp)u1`(r*rw><;Lz?QNZ7-D#cE?APF%SNk^SN&|_dG(WD)^cmA9C$!3jkmWl_e-guT zX4AYuBms9Ja_cIg$z!!q*yaG3okA#sOoGeGx0MQ zppQo4UF#VAn~tqmYR>R&^tY%wNA)3V)syGeM_3`!%-Qc<(y1*&6rcwG`&rD6Tm#e= z6r-eX6+4@QFnOH<_>h*ejkK||poy%X-P%YR?vP^fpl4;iX{ox2G{$u*^FvflQ1@-- z`t=Vc_f9mhzx%U`SIr6wm#WNC7~~zlDn&M`wuHUc?7-6Fo}x9Gbgq;q1rAyY<6Ouv zu~phEQ7=T4c~ox(Kq}u34v8imewZ-Ip*7r2mngxLXIgNQI+|Zzb-=^iz>{mCfKlT~ zi~t9bI2*HOd0n*k)upB5o^SsEwsm28pcxK9x^hLA$I! zH1}`Nj-l4bTpLV!F5)5gemjERLqo3O9$?7)P1ag$N-9An^I{0-Zx$$3>;Ex21{=ni z7<@EdLFcW{9h1RWy}yEFR?9`^*2hKvCeL3CBxlDlz%b=ZR4$Qo zN|kkBBqXjkEw+^G|6A%TS45`qo*_VKq(=?6;A*XEB?OVzJCA66iVN-wJ=aP(mfIl> z!T;&6*qo*Zk3_C8*f#&wa8NrDcC@D~{Ru_`V^I^LEa*q~{zyXu9NYp`-6p-TPmN=c zor0E?2Ws3#yRT{f&)(u+BCislW7wWD!Mn+M(;c^l5-U+yk+aXj?eXe%8>4#!S_|V} zc$?29yE?C3yRnE2!m^LNpi1upYx%j&Ep~#Shqub)*lmd=6%JB;D3qIs(l{sTl7-mmbQ-6s5XF)qy4Md@05n@S$&( z4xB5TC9>h2S-Es5j|X8%K6QVtYQOC2BFdW&Lywk+2uzY69p&e~GDR&Bjm}BU1f+R` zT;~S8dA9DE^PM$a2Y<*fs)WW+Nz%%Fse!rKF=j8XBPH2ID;3C}Iz!VUtyYdH_C6-w zW5g&F06}NFhX7mEV)Q8MuqDHvNLER09a#A{;G@9x#7v*ylL{AlA&66k?tgsRZu7K;VJ(E!MV%x1319fMu>_ou|#4WpH ze&Q5Md(I8wmH#H5)|@!N@_=1wpP==bpT#^}#A__ka_2U!@f<`C&ljFqbqnb&fri}4 zc8~M`d4-aSqSllMM@><#=$jWP!+3FKnX4J+RqVUunD&^BaoE%2 zkuCj0D3kU#>2osi&!dBp2E@rV@TmcK2=;uLs`_WKKyVt1*q|E~ zdr|@i{;pkOQ|A5+!Qf~Kbr}+L)$ZVa{?h_QP^-`SZs^e#J0H=~V{gq_b$_l&e*wQo zZtIEs?IkKjkWdxwHq=dHx(`Z3Rmbc?FfNR9p_8V%8{*zE1OnF=rKe&s-t-KKi=`Nn zimNEd+c!|2^S%p?vd(~uU4k`N;DdhWOhtHZo#x-IqFESR(C`Z{%+gmwYEs4E0xi)! zO~_{%d?UK1CF-ZymMe7(oC=<|6Uc4fECI7krhi~7hjIeO3OyaMXA{QY=%Exsl(-|S zx-@a!P-xAsJi%7}yXE=ys8%bG#FJNPoReE-GLsTG%I%U+*XF4I8H1Zxezg7=8yW5u zA->+B-;E)9=V(ZxBsSxUZ6$NGJO5^qp`BFZ(KFeav~$WocRcJ^>E%)OXFHri#LevM z;c#1p#4-@9EbgZl4sEBc`0XgsJf|#j;4WR<<3c+hTxQ1W;LehfMk0sg)|3b$Se?kr zKLMiW?p7Rl8)2v3&UDIFd1d^>f8yj&gRkvF_eYn$JtaA)!aJuv^zXGVSI*(bgG=ZP zOTJ4HU&ejO*7`|jYWRQOVsWHAn%z1%TdkK}xnGf8@OMY49Tl~RqP9bEv)>OY18u0? z*me66VM3mY>vnzm;NgWc$4kO2KV`Mab^^SYS*xa{{*Jm=@oKkuF=XVZetZMd&4v;W z_G0nBZ5wu|vDr(t|GYjT!=3N+R~Jtk9wORr+Rza!n2t8vL%OGvsJ8{7iZaPM zMqpw}FJ$K=JrJm6)dFkkeFj-Gkg3(mT)BGN)>2*REaN3WW~6Dv>h~0uV}P9`vvB~w z8G8^vx|twO7R65M@s0!tia1mMO#t3re%n1cToi^SyIO!3OHuw9DuU;N%!6xW~N|AL03A;^ZzC6p&hGk{pyXBbQpgH^(A4tPD{NY)w98) zad5p+{FQ$dI#`HQumS1byB(UGXmE2z7Xww`wzgN1K}eMuA98M#oOwBe3$zzbi|}Gm zE7g=+-0fUo4LV7L|HM*MQrLa-2RL!er?^G+E+crTcrX ztBzz?fSv{`=J|M{#>VB-pk+%aHf;*ZX{YT8YSHYV(Bt0@Q-ZMK_VnU_RGmIJKy%5y4(R{VMzff#$q4^`!}|=Gdtp z{l3=AM2k}+9+?W9x`))UYTw`bE!Qv29V5a_9h3_0}3%??Otk z{T+cmmyI|^vY*D0{iBXFTY9CEB57@;($`%|3?eAOG_K_R&AMCkyInBQl1`k%n05sN z@`&52T;^PIwdfHjCb0$o3%x8Dy4BjfMh?8H)Owj7((BDN*ImvdeizFgEz_! zDVPs7DgBj_9I4Nh#yeKgqE*G{hgXl1!@#r!XgSvvXkuX^iS~yG<4%-cEv+{fBaBHB z&?W!<1E)fGts_2yzLqSei$wj~8)gb;rbdUShdH~8fkLr?m1y+I2y%@R`CzT<<#pTG z``5$WN)rFZNha}^S^@S~fOHx62a&S3htBvax~C9%7(dHT-r(jDlM;1-%Wmq4rV@EuSRak_4J@;ye9C# z!{i%3hXMt2x!HzI(A+>m94f1W)Tx~#`9U($WwSz*HX*2SH;{=BnJYE6Go zTD87E<;kDG3?B@~oxD$D1uS@xj&(kLJHg-F3?j5XH`eA`Ox*!kw$iQDGzE6f8)HAi zxHP|YJ5(^|SE?i{UU%5Af;RWqpO6Wch#g2k#yCf5vK2jK1fsGtOzgN*SY zpz{bkIc-0&MelTXA-OS!Y=2XNxCq4D5SvKJNuNH)^L*Mb80X9OQ18^-f-mF{DJ-o~ znXq|DqcMGq;otK}NRlDxn|}hPZ72&vW3y!z&GG#$fmEqibaW?lE!JrQG0m_| zK(DP9`DMR|J{>Ik%C!wkWViad6l-ii))yZQE9y+%r_C1TGZrSJ5wiE3hsOkGfj zF33g@gN=snChhU=YA|SMH~{Jl)5l9bwt@z1fgyZIjIR*EC}cu&lcb@Wpv`A9DHK^; zvA?`?1GWLKM{qDrtw*CT6k&dyPt)9;%1ox% z@(+dYdrSKEUS(twGx8idS6mmq$qSNxJ}~Y58~Jp#E44wv+c}F9xM`y?iWxMVhu}rI z(**Y=!Up-NIQZ%7QH#dU*0oAG2-XC&n--MwizKnFM$Qep|_!9*Bd}w`<$fJm2t4Jxs>q*7qg7(h%=!(Uti^ama4}o?cAZR61jKqEh z=_3S!7Lhy8zg&s(y9Hj;B)QnN8^PRb2FNp9#pN~naJ@f}_W>C!1GJv5iBr-8@BB5I zR|%_<%e2TF!>nF8X4$y2F3f^igrUtmg%Db=*ERE=>|7aAAf=tIvhs20RV$LYAHYar zh2msnB;+@6yNHO%3<+bo!zj-*@Uh^reJn~3V?*5PfW-=Iz( zK%qyP@|t<1luSht7;uu!Ty&2fKB+?az(ebPv9A-jr@ z{j5Td>(2_rVQcY7=2XGE$YFZwqn}0{E!x$)@KX|R%aIyZ%NI!5c3yPk>WV8P-m(In zE=FfbsbSDh4jwuTmsjKYAj-a{kmv@ExIAv@8Q&pO%(Abqdt%gQO+NMz! zrGr8MN&|D*u_GIc>bToN8!xe@#$#jwGGYKl(TqaDL5sDWq3pB8P_q<$M(vLU?M z+{7qO7nYKo-IVjlWA_D>&z5)yU;raY;7`I0u(CCfb4C9RpnjrVUVe)`n+pWKJMrFX zWhPe-qucReQyyq{7@p0wN6SU$xq}0kRurCf6EP6;{df0b$!v6MF0uJCaimVQ2u3rH zNX@F&RQ!|S;uMR;{2(`dF17SZ^D^t>Nu|QUg1um>=*}D#K~=a&;VLO%2Jc z#z?*Q*K%YlNUl-WuA{nD+Z=mPH~dI>+PBUERT9<1mf?9BzZ{A*{YJsr{4 zbP{Lq%**#34qK)L9{$&lmzys{-dbyFAiM&|0QGtze#Q!U#@wb|!9hQ^TJSn)Q@?>) zeB18aw=Iz$k3hNS)dR&SJS$dqj-{!AT}s8;&_ed;RNoPfIKhVISG_*@ zw^t&^e3wmCD`af*ZfeW%Zy#)9?p&geS4%DOv2 zl6M`Mu7moP$5YhCpBwQ>VpGckURH5fxzcpSLNS|X<5a~M@<4&1MCM)dUtgJhs2T?+ zO=Sl3*G8Wg6HdRatr9&Q--5@9wn%L!W*}*h+mFVjEUz-AY}hs~7kzji@>g1pePbDI z-qRF$a-bNlznr2~285QrEC-F1gXEE(AFH{}C@^pE>ms#C5KF=OQW9jS$)fG>cvoCi(oJ~&KqD0> z7$h8O@vb{40r%YRfc*5-s^9Pr`19~9zZl=}$Dpib9v6e1>e4}z20G7o)x=#D!BzP@ z-J`~<$fCPuw1V1--I6@N*e9C(Ou4!Yo5LCTP!&DmNn!*+yR|p*Jhcar;!<6iuF(aD zo=EKg0751UzKstX$3_+gyInCI>FWC(w*4$8LJ%o){@kEba#4WZ#0>g5(N9O=%9pX! zR7u@4zLn9h#!Yd+L>0Z}$(beTgMhst2y@DJ1PaCdLxE;aN1#qSBDhNb`kcoXc@QF(@zf#nFD8NT_RW$V;>{5mT!`hZfCq?MYa?@|?yBS0vjb!Oo3n)# zZ|K|T&N*Pk3#y8db~w$#Dw z?WydnHcIu^6{=by!3QhxwN;W#Flp-Vo`E&D;x7&m0B}~HNufUBOAdS5rJ+|USID`C zN`B3baLQrX$au(U`nMAVEtWERVrg;n7A-5eunMw7SeFw5Ea?5S##?NcLqH`Fs&Tj3 z&y?*|T{;l3G4KnRq*B(M#s)2vUtP1a@#S9O^`L!E%?xzQRmz+s@&yF;-l20T12ZLR!;w@zF!0H z*xDz<8D1NS#_VE~X;NKbSq`W?2H3ET;KS?b!}UgW$wfPx=wUS+bUgCJa`q|`Yd!osTjQ%7|EP5~!%25~8A(yy zP=u4fK4A)t{#krYctrNYx9iHqgF%W@3Pqbl4r&~dOTDNpB@qwz{58n%?Ug|`V`~!0 z2tTP#I|D!yb`8@Mjh|1%TCZb_TL2Z%C7YS{`Uz~(iD86e#4Cs%Qk?EjCD;ro8Rh7o z>3=TLj|F0seIkshnt$>n$y?xdm_i0Z$seJFNh5Ga{?(e9RSU6~r?cs1V^2|BGW$Z& zuMfUhwt@B`s5EuYk<0H<-jptz9{4zp@V2=~Ssx5U5XEbcj|zN!#q<9R)PNwD5BiCZ z*x0&u({K%C$?a|2Gn4N^?{Yan^DRTq zE@KV_d~b9L`mFo47Z%S3!1LB^SG~0yD(`DG*V|rNjCzI)!{*^$o+tZ z*dKl;Dygs3o2xIYEM}}vc?!*4tUL6kmW$Y{t}35er2|w+O^<0ZnJ3CEA9c~l(x&a- z3<6@q;EwfpewV|{pM|4x}uf;}i;JM!YtZT0p20!}e;Tg^!qc(EFp5c%gai z?q8*-e`*Qc>*z_baoKvYR!A4^`_4N>b^4dDFg5||%M_cyCO$WZLyPpH1B!AsB1;Db zE(scSny8%r-Kn=!WY^+OD?WmhotZs}1%w#D$Wl?D@MQ)goi&-UiubY5$stDG=S<{< zwALiPA(tQ(&yIB%f8Ta8&HSYjZVe`+FEGCpBXZ zq6KyQ42hh40L`fFWNpbofqt>JuBwZCXC!gPy>z51*gJOwUVs|k^7r6t+xnfMM=f}t zc^a7b=U7{c&fheI7^H7h*u;ET00V;=&y+sjYDTFek&ybPCe7xmHko4`w6`Kq`2xlIIn_J-^ zQ3nv#M1DK~g7{4&PahO|b!0#*_4id4A3_er6mZr0q{u+_-;Nza1 zVFX6pmd!^_Uu1_4nx>vbq=hU(zK~TOg6|)y(neHSZ zj_N*Wg3&esJqdfS74Jonh_rsox9XCMvk z#|-b)k*BY^-0VeD6QwR8y_SJ7BD_9vS;HfprZGn?CK6riOePchSM``l&NXGJ1wd6{2D@=}(lS(WQ|RB~EeR}V;XAXLi}q9+j_bj0xqbV6(0xfc9ZXzpN} zej9X&ALxrRq#YHO?V5wXS+sfrf+js&M~RwxOe7R$an|3UmOhrv>0wPG-0)Zt{G;sl zvZ01BFDaefiS9&Cx-Kt(*G__)&~iCpjLL#Gtwh#9%8xUF?Yk{zL`bCH-ikjha0+bE%lDk$K96V1dGppWpJ%Kg7uIVf49ZK(RYGuEqs)5 zL)92KmHTu>p8BGYvA_XGN;6Q2cxN91H0~QqhNAj`%TnB0(+!W0p2J4f(G0ez7JiDy ztGeVk3`*%j!b-I)AP*W)*`Ma8&cnW`SD}WkN4mM<>z8!FpE`>9sotwZM(eB2ETw># z`)NfE%r7j~RZ|CDo|4CbXGwkIZY^t?2W9|t;Fw&6E7URwgtU~JAf3^?!K*C@N4q5~ zgz2JU0l^MAso#juk#F#p1-|Jaj@!|2+Fm;O)_G{FLzsy~fS0ZvWA!lW!pLs1J*u3K zf-`2H5n{yKAD?6rCvA(6lHvw~(?ahTmDqg1#P;zq^kZ^h#!UAUJF=F*jWM9z_ts=T zeI5$o3o)TXaOLlUgwuWsCEb;Imz*LL#(1N{h>)A$4w13GU5vv!s&vfPVAdORvy~8Q zwCzgrT{9Z(U&0iu$gqh0*Sl#(R$H;bVX0kvFvHu~&)z#v*b~H~Loo7BPM>y3m--kw zsm?gEATrd@O30rj)`i+C%^7`S%F;JsyVW*6vaH0I3+eSuynY=&OW;m#YRCL)-Q^+G z58OpfRv4k>?IRIBsPIA-_P=8Mm!AGd{Xc=ZaKj#_$4bxrEkC+Yu`yOok-8ABAT#bI z{LkR&|8za!IDG=PLk8s#%6F|P0sx-Z5F3r!X>AhNNEl|6eG!#{Yl4aJxFV{*czMqX zaQZjp?k;*NPK=-g*A|eL2V6Kqf21#{X=Ebm5hiLd{uG|T;g!giL{}F;M!^hr)IFax zJd@t5tj#(Ja66dK_VWhbGesWRql!8acPb{oV!Wo*F6L}EfE+ymC2RPK0=>IzcpQsh z&clsp96;M^q$__vmi_kOi|$lE^VrQ>@>bL8@;?CQT-{%Ka>;bMF0vF!48|Kd^h;Ru zYcM@evQLd%B{asxQ<@+%VsgyaO!u;XF$|KYf=Mw*!j?3C*HhO*-a`t|(hUZeaw&vw z4?nvngZ$f(PPi>^Zyd#M`is5~efwrP6BZcQ+2rkR5e2;z42xrAeLfh)h0THTE<<*K z^l~KKcKy7bAR8(nqr^)q9^h@>R|&R4wFeI5$GBg@GesxIq3b>PKme!QI1wPZ0!G1ffdU7H|0LyKz(-~8;&1d?PX$cLS+Dj!=M{_ z%b)em`KUo2Rw4(~SDitR{q)V1m!O!`Pb936Rwf|_RT*eWY6{Fb1Hod7(M-60kp8QJ zQH>kA@KN^l*Ait5a=F%X7W+fIt>CPY0@iKPHWZr2;y6dA&e-;)dK-Y1oDVrRZbtgH ztED6jaZVNtt5MP6XlxdSvLavjp|Zy2;`vCe)5S)zX~GHL?l4%Q?)L!2@fJH4YuHS# z$woFFO~*>K>5bu+aC=;#_{{IS82kE6jS{3ALKgWz6pnC@xj*C7XlPVfmn8JnQA*Rn z`VTdFk>UXuSR&ZY>Gz)W5|1d`wfh_K@u<`L)m}yy4&^YJKr-zhGH%mKvYMF)F$Vl^ zhY&Iy1m>@=a2PeX2qiPQa;@0|z8A&u`N zVu_^Aw4zP8E|7}HhpAwZ{2`m#a{E7G(Z}y*ReOz=`Te-@jxBx*kiwdVbgR|p*ahCh z-N_C8$M^maxjjZWLan8}t=#F#IN$K4d_hDEZ^gwap5ThR{#q4Sa- z_xY5LfdE-@`}d3l3mxP z-1LW0v3^i^bW_NFXAUslyc>3flT@wsf zyhCQLmWJ1|a`?=FfEyZjyw3)a2stgJYZlJh19@!6qe}^y4rGSE^Suba9jiLYcTtIE ztgR0Jn#5Rb0PY8iHJ-a;A8iIdS1>)AnlRsToNGOC^JVlgT;uBc77R47G?!8|*1KH9 zoMIJz-asDPp_hyjAm;2FDO_mO2MX@rR{Es;xCZ6Zk=DTGiXR|?Gn!c8I7f)a=oTzwN{S@OpD#1og6iI z^CR*_Uy$xG#Oga-(zKJV@=+3Tp!=JD`esFO^gYv?Qz%rDe%Ydp9ekZceAl9tt*kuS z@$pmkH<&B^f)b{{k;aha(;V?G%7=Mg>yDKoMD%y*S!|zx?s>w`)?~3>rK{Nn7^NyD zRHU0%Uxya=@Ra51{w92sxGWpN{9_P9Gh8}V9UAvQ3IB`#vG70@BxitfOX_^9z0f@f zKi_2cqt{*^%X+%+dTcR1SLWSOFe0cZ%7E6S6?B&0gtYr4+|4l6f|LDb`?W`SDvYKS)Ok!;(lg3FMJxt3`oVRwA>b#)>$N zlOpFrpb8vRQ>j5fEv4H$?HOq2Rdt~FqrEE zQfdfm&!jnZJO05um^x|<^ZP66npudDyv=A!xhMj40JaMHOJc44zOW<{9NJh8bDH29 zPDs^nc|{A>djNDQyCJ%5;xVZpo#2F|idpF`7>~Ge?4wp%5Aa5!A`D{S_JAj$CGk0< zG+LW_qMsg`5AgVyZR0qm9;y~A!Co3{I6RzngzLgR!jC)-)`9=sI0f?o0&}asojyve z6`|q`&kF_8Tc3AAxP#bXD-*k7y5kbFfc}_uqrYVXBNsDI!Z6;2Nv>>EOp|-e9x~%i z6j7A?k!()AFx>3W5VVzsZLa*$OB0*9=wU#cZ@2T@a-HOywN90tSju7efCvpm0n-34 zzXKwN_dB4MT@ydmye7;zuzhI>+#;ZqBtvR=Ai88Vdvd_`V_$h5yho%@_)Asv5DX2ctP57l zC=CZoMf-j_{cnX3tRO+}sKXL0RJ9BuL%o)sS1Lw~b>$KLL)C;$3`R_iohXH<>QR+X zIf0kzMzqJi_j1mPW=z%MIR;V{X!};r3%k9{bRthgCBr7-AR?aL`NB{6cfhOXaO?Tj z4!t{AwKiTmCc0|8hy4OyTSNK}(NIS_cW4ez?X(M#gd?mW%S$b&!|~;Y+W8zcIZ-B0 zFvicUZB6q^;Yxluq?Ou?ni_e-t++vuss5%R!aIR4XctQv;`J%7B+B^ENhz*#E4{K` zu($lWPh&IImLWU@e&u*V;JVrAjIiK4Ci`F3X&y+_RNra^EKB(aNYQMBiAk2$hk68UAU?*2>5&>=ahGyLq-7l|R0Q^}=zzPM;#rTiq$AUa88OIa3 z)ozkXkb=PWaS{bU5@@0qNjs4@5tg!+uTHftG!qTsI4QzOX%GdL`9jy7c;-*9$gkri zVX@-qYlXTt@<$p;AU=Mv=w%(aD(bYq`z_}Bw{TR7Zw0)w0myYDv}H|E4^n_u{Y06*yh!4%DB_EQ$A-^|IkGfBFfzQ{HAiqC19wJa z%c4tM=|tyy8c|hE-X!}tDM+$E%*z%j-^i^0uhUBE01+uj>DPC7kyTa{;G=T$?o3(n za=<#G&RJp1t0Mr;ii$I&(&adsu89l zZ!_ivGo6k`@)%ksb)qLuKc3dQC3}h^T3y^r9rBcEN3pO#@eI&bE~j{>H395+*zh{!&9 zpJbM>bgTHubuT5PS8QPv8vDLaQ=<7~gn*QPGtP`3!YEBN0Vc5Vne+O)^R<-dQj&XP zR}21xB=ZTneO_4PXV&H{_#XRRger-Y>u3n-q0tDQUn`ZmfjUWmWs}!DmN>stFu6+J z%6$lKEkXsdhSz$o2jiR_3UbZeh1UN2@ghIb2Z9Cs8WG_<%YzF$;F7i=C`gg(v-cq@ zwf1%B>jsHKoc!I}fy_oUej=N`lD7nffMD(UaJ0i_gzylyVYm=4`9-M9?T7=rolImY zU{%oSDs{Crm$tjY(fIxjbqGI8c_AeGbd}aCuuR-!A+HeoGuQIb+Bje(tw{FFOH|W# z2~JHW)tL4zMhQR9Po$U;6J*VGS3u={u4*8)7Du`+AzJE|>{jyh*tRC!_z$Altr{ra za@?on<&q|m8lx?7GDtLsC{IF28^9Y#JH{k<3>-8nzM$?fWiD96KIx+~g?r#710o+tQ`28j0gf1}|wykLLwi6|4BrN&QN4NClue zCr(6$LzHj4sUhPO@oHGa^n*r(Yp>*Wo2itqs_>xM5OPWFO;zLfOSDV#k9D-bY?~1u zH!$fF<|3s4oT+<*bNmeM9Tq4{+p=WQxA(X5RJG~>x$dRF2<;Ip%_~k3`iq-Iub1e~ zpaW2FqNEKf6~)|{n+Xd9NH)G0AY;I(=el3E9BHD&##YQwJpwHLy}&Rh^@nk;dB=Q6 zRz(V^oq7mYj#zIF4>s4k3DsHQT}^e6;ud8uEgaEMfY<_)g>AVD0-j&s`QkB-t@rlu zKpt<|ZGgARc&!E~&E>8*?c1Wpbs8+UkMdaJ_4x3Q9ZdUo^U;$PuPY&{kKKOxwvUF< zs7?5M+{THX;aB$U(t?y%{CCyrlE{mYjSf9uPm8w83xm@2iiUPk#8NDfe8$9GR;&mu zK*kE;E48d##gM%Kq%$~K2vIHKjKdvC25Bg>_WTVGYIN4dDPM;z>waTFO5Pd~VB1?pFtr1dcGc@^qHh{}FxV+(;}bXocib|s*!w!R@@?}lZ$XvQUEhHLjQ!zfp{py4q2tpWKAuBPE=1?3I^#g| zOBk!eu50l+mQbwd%1NO>WfH}{7B>9!i**D|rI%2lNvEi9)S6Yx*#_5n{$9R3fR(Dm zVmWzomv69XH+V7Y$gRA${KTBp%3?WF;9G07$Zw!;bOl{Sz*Cj)lC-mFJR|BzL~1}% z_L0pL*dc3rf<+FyZAr9|sAXxTxb)yc(a_!Sq@J~D-B&587rp)E`c7xnYzH7rubIUR zp?iG?Y+wmTUxCfc9&S4d;mhp0YbeVnRIah%S64F>P?oh%_T{~yr$GWd`{xww3tP*? z{@aM8@OQcxa<&N04XvFZ(S_?WxMwdH%))b#APw#PxZAQx?%@ES63&-k9&1SPz-5NR zxqLqOzKDk#_n@0Ww>zu-Z?MwDpis zpaIGd3^phdnfa;wAVMfwLonq!J!f7QzVm>m_)-dE(v2}bc)+RIwX~|)iga80q3kk{_*r{ zkmj&Seo9C7x{X(LFM1jZd^k08`(q?bTp4iyIQ+U*}Eg2CG}>M0@z^ z0H*pt{K~FQ<&L&F*hF;$Sn0|6rKpV+>gR;U@CJaTPw`83T@du*3E`-O4FA7ngG6jN zO$p79#j)$5XYz-*s*4>8adHV1b_;wFf=_o|#}WkauKQ?hlq4AqnDD{Y1|9O^!dQDx zZjGcfwJmjm%sp~fIxxs~-bU`y9$oojMBiyAF+iT@_`~6WeUUgw!Zhgo;SB5_QS}-m z)GBtP%2YE^MIF`$r{o$>JyxI0?s?N1O7?R*Vn!eF3A;wdn9C0y6^stxkYC;OO`UuU zEMX?0r6%nX0%H;nX9(RfSfOL$;B`7?+~`n5-7yyV#lrD|S+fvK6V(YcL6Sw6n70g) zlbh+dCQD}WRT8P1c4TD?f_w>#bKc6jqPw4doqbG0A&Mrw7(ypS{mW-{#w9cMtmJpu z$Q?<^5)Y9bCic-LxFTJVe5Q&lR46A=gt8#5A+%x}uJO6Q<3?(wpXX+4EaOxyXK5fG z_ixs!o^G2z5ZT@4Fx0Cv_DnFvsa=NVYKU<`oxfw{L=?|WAHM~c2uk5dWP_Dne(lJ}7qD3i z<=2a&(mzwXrdL!Lt(d0~PKtBUCnHr$T5m{ad;2TT^q}cZBEHfSB|~OW2+xr|LoY|u zk1Q&_z9SB|&H!;HXG~MdCM|&@q!{wz3Gc$G=#b`HmVQ$*-!pQ^~5_a_~OkSIZ209ZkA%T75!gn1w94x0X#r26Id=LVD;v(T~Z} z6+TyAAJ;H$mS0OPQBpOq!9N5HLaej(HRqIW)^1&K1%#lwTzR{zb>5DBG%NK&s>K@0 z@>dvu3NDrVl9G__tE|-aVJ{`k^*A{W++~cO0^5?Uer+$f=bjec9zNRaBJ)Nz2VJ2(tAR|FF_dZD!`@ zl$nI<=AM->=%ZHt2!mccg891>D%sNi{F`l!M-#*SwSQJkE7DpwPIlOgCFa}=o?KXP z^_n*Q2~MNgH*%yO7E?6zxh29xc|qn*Q-S_Izdb@S+0?HV=#iprrC`SU9r^q?Ks zVNKSI;KNkQF+HAegQbEk{&Ex>IBR6qm+~SWI@CFp>50jk;XRtbcQ`QEO)Qs$fVe6o zb`R0__o4xQmu~xvghGyf!6I2%mo4o!xDA8s=1f}o&zg_G@dGxtfbo5_eHr8H9g)PH zDQ_kVjw549_qzON;t=8X6I1=Jdj$smz|QKCG$KoNEtPao8?b%wUbCYLCUw@(?U`g$ z_KVtoQ3~A?xthWJYV;tpiVssV3l-;BSo(R)Jdc~3u8N9t{{8OrSa=UN+=z323)sLN zgr8a#PFR$PSyxF_e3;P^6j0?{!cZqdfh1}hu?*2#DNndanb_|u>|Ps-hsgCxwDw>Ez&Fyn8-VY#r5U`g zV&U1ZuC(OK+?@aI2GW6vsj3^uAUI>3@jlHXYjf^$J^aXB=lKA zs<+K@K-4A`x4MN)fz`bUz4Cm|P5sI~{wsSBBUU7rZA``2YV z7?>1Iaoxa5{P!h^K9XeJ9b3%b!zQM#ps+b0MGs0_;K|S6zgVRHP**h%*tskjO?2uO z-!NzPOANlW9EGH((mI#@s8bA(<@vb74k;EsO4M)&Ih9QT5!pI#6Md68S3J~0G3d_# z9@62vx#P6K9%U(ZkN~gXd)xRz5FJ#ySz1NmDs*CDHO?n2JL6kb__ zyTb4&>rkB3E<662G^km|CgTr!fWQ)6z(V=5<9TW6=5WziutB(_NPO5#i@Y)?ulNB< z?Wgp~gK&>bTc2%E2bHCzuBQBNa=5=|Blc#%W8FcM1hNc`$QH>+ze>DvB9Zh5 zg=_QRWJ^uYZfMscuVq5GAfEW7nQ4&l$Sgyj!+1e!z;7$ciH({4h26im)0%CR7foOC z2InlbLV(U|n~yC+Y@lxFhpsZRGIlMZXjn#tIu_Z{Tj{NNGHi}^BofV}6xU`Yt7j$^ zM;Q>I-*D&_>;^8$TR`bW(!kbn6NGe3=qujq2xIT<-x=kK;vO4^0j}=KFR>CN>|KIQ zb{1qc^7cTJh@`@I`Oh-{8}-YHbnByyAIA(1XrO54!>haV%~Vnj#>y3@GwXeBBfjH} zny+357{7TZrHiHk(q99hd9-n`d{HtEP)SRNPJrN*di1!+YO0y*^S>Xj{ZGD7r6sSD zGB{6Kx+y2T2Noc}{e%;SFPcR9utI#dm6W_OLwu%JtE!;8H=+4(B!|}9H6~qWl$dAp z{S0?u%DJl;8PqIcY2CzSak2Aqzbk~VBAAsPb$H}&f18aV5Ih0Hass?3{aohy;2_Rh z6ccL(o8930j#TDdpfC2dz1*=}L@AGd(i`)-aK`!a7CrbBzh#q$zh(~jV7m^ z5CcJ=>S>jMs^yJ~S(KQW0E`UgCjOoAT+99LU}Yn<6v4v1baGR~eVR9ae&5i79`!IK z_i;KHfF?jZFf`@iQ)YrzO_bGQNL~rHwgcWoGlrQpE}+wx)3p~`0)zOlXZzS~ec~C0 zET2=Ul8dHrX(+Ts?A(kTS7D~TgpHnt8}A-`mt;Kz0kYWwNY>_-n*eFRNtnVOl}5(1 zrbvul+kT@QT0{P|{K9PYJeR5QUJDc7tU5!DjT^bbhhY}*pcT`s{?*cE!0pB-worsc zR>7>OZ`pQ9rzQjDtStzsw3sJ!K$58Lt~ae}d^S^p{JAR$GW1W(@b;~{l>d3XKR1>u zMh@5c!$tbU)>I^-fbDBBP54f)dUs+1&wTAVZpS1u2i9f~ZgjZ@-3~+0{5OWmC9PTf z=NxI+kRl1?zLp8jibyV-Pt!P1vX!tfWB1zp-y6#u2%NL9hNWy zb_atl34RlQ5Od|p(KLH`rP9vBy$jbLE!yTmfbH||+l7puV>U2%u5t+cxB_UPaP`Oh z2lk0!5t-V^AhEn`4oVCQUt(a1Q2Z^n_s$bAgjJbAxz8S+Pm{kT@@oW{T>5x1Zn%Se z_Tw%?AE_pTtqj8Pp_8@Vlt5mi6IFX#iV@L?y{3;T)()pNUC5D#J=V5+39gF)g@{`=* zthPL<_WqxHB68%`R!6xfcLvM<77$ZL)KsxLu>OyLC|?@JkOpus3S%hU269tD4QQ+Y z{l5gn29JB!#y@S2z=}93-?(7q8(3MIo7&vK%hz_-J9M%1K;8EC_CfZuwa@akU(dgE z%Is|5?V1@N({y&Sz$A|_S<22RK+@1$Y5^e?xfRKU@PY#?mw%yJO2R0AIuG`A4ZlBgXg}=t*#7b5?L~yJ1A|_v zjm!6fn?;3*&Py8v)`?P;}lz>Wqv!`%6Ikmijnz1i_*+^o3KYnm8 zehkv;>wCgE@L5qw1L8tsVf%*%2N3p6&Az{X$JyN7oLO32-rFvIpC9+W_J&NYFO96> zntF{Lrcq5(H&K*tY1KJ3faO^^ObVo%2En?ycU=C9wdFE3D)M&?b*T$VK0^o>xN;b7 zd-c$`?9E(fT1C4xb*71;lJx*TYsn}c+-@`f)MNgw;g`L`k%iw{)kL_a_?jj6HQ^Hs z^p0X<^_}~X4ne~Y7m6SBa2}e4ij&&ow|L9x>$FX9 zvuH_I62e(QI#U?pFoavyL4AsrPHyiUwn)dZwjC?oe`k-;Cg9zOtL`^~fjeOwwhkHl;E>$KuB zm;R8A`L_Y{^sqKYsy}?jbYGYAx%}~)c2MZx`5mU}huc9YeS$!qFFMaV3-n2tK)zJV zJEK5bta}OZpiiz=pUvIFWYy+K54NQsl*0MN`?Q z!M8^Od+_eN&*s9ig%QiWUjdFu~s+d&%LI8j2JIvU77r zYjwU!lbZCH`ZgyR!N$F~e8QUN)WRgY$WwR=4ZnclRGBF`V_wg=_;QII-%Ow*ojS5p zndC}gOZ$`%#5g&o=9ZPSO_4!Rv(jcl<8cN zA9B?M+w!MU8R$5p<=YdO*jF%;K$+1c>nSCfZ#O?DA(XfW-1MXLBpV7w@}LgIH=|h9 z9Z_mh)w8gl2A=cg#6FZ1=Pu7pUkK8;m9CtzB?~dk)S~NUPSu{>r>kB>CJON)ALx~G zSQw}684|CV#l1FedZtPXyAnmV&}B6YLzlkB{cMDxaxcEJ<|u!MT=f;u)9qF9loXyI zcdxVI7p7bIGzMXYZ$9?$Kh+G1WVmsaR>c#1+SX%0NlG*w{+Ezr6-OP@qP{Lp0L*Q| z3vzsnzOcIqM3#{q2<8e6a~0w$6h4_H=e6|gzQw=ud4 zI$UbszG&A|`%>1;u-k)7(;tK(M1(DjIj>xXcz2cJ8YLyK=w<06-lghr`WM2qgY-h< zpIKNjI^(#Qw(md0tm?_+`rZFbqGp?QIuEHEV&Kec)cuFm(wM19D&dPwCi5=Fa4jOV zXoQ~&O?s{h&yEX@o5Vz_gD-_WpjC)L*F_^Xsr1OgR*_mZ)9T2nVjS_$g0H>ugEAHt znt_r$5U2<}2sd{~{u3>$s540eqQH6l?3nzu3Q za>y-n3hE-bf5+G%aF!vg()5MTsYxv_vCl~JjfvXj5c4U?NBBEd5{nh*;|8RE z&36v`?PI7SdK?9DY}*NcE1Fy>Apuns+Y)d9pXQSk5_D;Ebue0O$Ly-u(!DS7sNFDR zsl3u;SM8Hr*Q=-Dz4;$wnKR~(O7UxF`_{LW`r&Dg!Dur>ZEF|f9nYNbHH6ryDjK?7 zkpT@$T4?z%hAE|ZqcSSg ze73>uTYsk9xpws3aPK_)lNWq}-7k4{{Wg+Jhll?TOMoOV9SbR(9#T9WXJwc6&EmI4 z5+8g;(hnKl^h;+|_U*D>{2>XOte#DWMHP6p&rt>8nv-+-XPxkD>m-J~U?LdSU1H9~ zQhSTeYWk4~E$by@Py^*xMq4XtQ@-#6nsz_3pL_~>>n`ZxRO+b(955l=rsVe>5gfCQ z_QezvP=f)}KI4uWkIe|$QXbfH&6LNU&ve<}x7spngtld1A!tJ7w_Gn902Tc12=EN( zv(kG4iN?82#KaWG} z|IDg7hAA_xEpHf7P!yR--Jcp{HG7uvJ;Kzm^8$1zQ97P0;RQq!EL#{_p|ij6M+&d z%1tJX1bF>e+Ie&+?_V0xi`DA4o7YfcwxUgTyrRNC25Pr zMVyIZu_gduW=bWYKY+<1M@ij+FGb!}&Dg&m!Hu8qhVwsjHl1?ZmwplAw;le_LG2JD zTKataO8NBMi;(RWmvmY66}~3WYK%F4<@M3@5`Qdy0@>Zj_%P`*l|FW;`x=8#JYQmu z8IC#F%&{E9=AMoye)277msz9vD{%2|N@7dtbix2GMuoy@p!v0N88~a-nTFQi|EgR} ztZ50}?R+EPw45_mMar&>MlLu*q{EGmrhGiS(wZ%jU^c4qDYyzYnH-piPw#AKw4DL7 zeSZY*moEuOY=8r1$MI&qZyAFm^^te1daNxI0EvS=VaynPWb$hn(x0l;S7Lw3@J+riH5*ehj(6U}arw1|kMVlt0t?+D~KAzwrl-fTGJ zzV3vbV!T)Ypk5(Vs5kEx4LbjGP)Q2-D{O{^>oF8LxbVK!fqpBYg{^z*q-2YLpD7xu zT@P#DKW~BuYkjt8#vUb6d1KXRqRGYcdGJFa3>@-f!F~i?dhzfu6HxEK&lmuopdf*! zm0njDOo=C|TS~NQ*0)n4iY# zw+SMM{~9L-d-1}@eIUt9nu{?5L*(#nQ|4}Xg4MF78tUoa5abs$NbR0Y+!lw;ekj_K z0ex)f{38Nq@gl;)^{tz>VXNs$GS7kQo_?Hc$|8R99ZLM- zbX{>un8>{9by}+e&x{l$bLEX~*(g}3Oz|{ovu%p-qvq??hw$#S72E1AGrpObxALJo z>eKf{*J8bPll@YpS`7_@M9X`HT2^`?2(sGZ4FrojUQwhrA-eb&IPIU9pTxXy&}-AJJ3a>{70GTUdkop^>4~zB0&1vp__5F&D&mjS>|Jm9eFaccswbE0 ziyTP!8l60RL1Tozy_#Yt10b^-BPw)UL}&9k42^RE=`qodQt}+ydSYW$-JhVb~XQyiWV!pxQ zw&C()MAHEfO$}1|fDCdL?4e6MXC9pn}(hL@*!M$_(K&$kav=#Qh`Bzp-NDkTG^WvYlMtTBzS-m-ax?gxGgk)y@ zRbZfzqwD?8YtC(iXSW*1x}FE0sZ>nucHag>^LaITj*XhEt6yIO4Sx$HJTt*OpMB?E zB&C=01av9oZ+{lT@aKk?5mTk$G#v`;hru8wLyrOnK(teZ`jY|&L|)_Py2Mlb8A=w;Ww?}wy`T3DP!P$NnvRtmf+DHO zQUB5ywe9Fp?Q+Vv@fzIYA8mj`0hfoGkeQ1)PR8+kI3&;o{hO_QS2b2&Wp5f&2ENI5 zA!p2OALD{X=Xdyl!@U`E(E9;vl3P}uG18ZLa@|6BEj25d<6r}VtzM}0GyCw;woq#l zvwk@Ot&H`cg~s4i=@w2i&lArTK{Tg%!}>wzl6$13Hm}-J`QgKN*Qq&b5W=#T$p&Ct z8VRqT)`~1(vg+kp{z{lwLedZgPejPt-C5pl3*yPYxr8^PrJL5YE6)U5oBkVYa~q9_ z)WSqhgEygbO(f5{T1=7!M~c-h{`44v72c2SsH7dE)L|cb)Z=A^3%AzHY99(c!)#Jc z$YkyLDjfu`jzL&03!8`Sief-(J{3>|zuV0q%owUQPqrHfHaOcw?;;H`&4OT!DDk;Q z>A3?c;?r|pY>m>yjNdLubHa>B6h7Gg`CPlmF7dM;b~?YZmdD!ib1-$ima}dhyjy&b zjMIhtf>vhfZD43nZxyLGaKdvYBX=2=IP1{7@bY-y4i^=C)84uM7xyd_2llwAHsGy| z`1M!CuGhssAVGHV4!m-~Pzx2Q?(pIax&bucyTMD9ooo|68IA3!Sl18dX1S2w{xzPo zQ3Wws>K86tJY&`}6UMI^d$S|g(_mW$CH{jO!eY9p5~~r+e2aXz3@$P>8QFqf&<92r zd;G!3%hYnG8c7IK9vK`|k_}7-*0LPg8Vo?`<`UgDmsVPJnx0(5@%du}`M16!*%DHy zHdbK<)L1y-ACfj76U~}bM4|YiH|mz_cc>))P(lqqi8-h?^k4D-m0f9C>K|_FgflQ} z5L_gqq}=&&{eN{=LwRmyZ4yuEH$+zQrrI6#Qw#4uE*+D_fEUHgT^j4L(RNDZGP(z5 zF&G95+zva0Kw;<&*)B2GM<+kNnMM*gd!=7x#Ro?b8!|PXdVQn!MtV^=#Q&l)t*p=z zPu7@>iLw?f->P_q9HP>?XrbH*hlon?fMP%R#`p-HS%0eDlC_B3hM`VhHHOifkchpG z>{qWv>aHxo;rW9XF;x8BJ!cOo5u|$wt4tgilxRIz>=oThCgFO&1D_MWLqIKo8xHR? z08#$z6^nSpnECBrvUQhQx}zq8qCXWpVWAS>*OI{ypn2_Aod4{)AnXoS(J8;+9(D4LQP6EHJkMF#Ij zxz9IKB51HdFLq+`=Y{eIS+m|rnIHGTzxvb!ET>`FK`of98R(}ub-8(m{)psY&&;_7{ zR5P}`cjorBt?MvJvhR~k%6Q364W(?AY5v(sXiWfH41NAcT}(%Y(daWe!NU6eRP=(h zIY<(9rZiMI>M45`QClj;<{CdCN7CMelQ(c;e3gTfvQ#NwUX0ap6C)_ZMCYpZ%#AZJ z?LqaM8B9rcU7Opj4R5K%J~T-pBraYcTy5hDRK08}{zNye1raGGdEh!PGI{n7QQ<=4 zuQr-Ks^BFyPCE5`8AxcchJm{XRH83xg6pddG$paFyo=bnuk-&X^+cVEQPccoP;GKV zr%pROEkefKPUNA%PdA-`Xzger!iaAIZ97F3@D(0G%37C@pdM~wD)vs(cX=DoG*Im4 zN0YHDG%YH+eY5csHfmr7ET8I6+zZt-*m?fGJ^5UZlr~xWqr5;2Q1=KiOBOUhfsFcn z;g^YkIg-m5-taZwzktVDQQj6w(6Jn^X)a0y@I}vU?c7hCdVJxlqfFqpXT|1x>>uCv9q)($kuQ&lPRCp`)EA*ob*TZWm$o-` z{0#^~_}CkPNuL(+zy}{R)jN_mm^orf2bp{DE=|ys%QFYq+q& z`ALmt?7=#5wT4QlPoIGTmj7s7q7Ta{*x=D-NvSR_AxO3Q)fBkrmUJUt2xFyGGkt#nPAk2lglJjNEEa{ty)tNm(0Xd)(%yM_v!1UF>Z=3)?DEWt?m(Uy8d=(cti z4F3m_?Y-Lic{tq&C)3jpTmi{)uU!WmMN- z^oiBnH4LJOn47B8nNc{gnrBU%C+3%f0BT??l!t{7uNV2e$AP)vR<;n<&vmpVEkp5i z-t;k!-o3mQbT&cIe8(2LNhqYb84W(lC+R&$#3v&f)_KK{IkxA)=W{#}ZjI?c7%1W% za^yFG(0`rB;@PP)+-I6loXpUgmGJU~pK+w;T&L*gy!srJpDP*31U}@8i2EBWpO27t0UpFA9U?eIpZaAA6Bbydg6`iM~Y?pTzbAy zp=g?bCtS;$gLyKXkK{bdN+%KE2kIdNm`Ltnxz&tv>YuLQgny)gCaaxzIj`l!_J0CP z<;MkDInK51Go6@axgodBq_5NB+XcZKMe#k+3-^)s(sryxK0jlkS>-3vvS>(=Hl?IL zxgO5Pz?6&X!;5x+W&4j40{fMbRA{lR+hn#@V6q(-_xU{O7y4=lga5+KA}<kX+QMm=&hO_OuO?*~7 zTl~FM^H=ta^9^MkGtLK+$B?U1QwkFQbhC#QKI@sMxhsTiAN2R4eR!aMHS719g#`6` z<~NJVwrJ4;Sm@e2wXr(FE?%^Bu(3DQ~c?-(#QH5t%Qh1185e8#Isk2e_i90(mAdh z3VEkJhnj}v0$b_bqAu14ljaPbdZlu|U=AvFqfiVsOQDcicpCHbloPfsDFhq_BE@B{ zZ>!u5PJ}lAG@`e}EEVFVZPx<~x$jHxXN+6a4O5U5b> zfn4cDP)En<8d~HJnf{Pn`fGRA@){MgbbH(3>1$lL1Oq!*6=5Co)pcquX-0x^@?h}p zsJ+6~1@X%*yV(1S=O{SO)nAwTInsD3|8|W`EzQH$eP*Uzh?l;9Fk~K1`n`hQ{bNj!EW_}g^fJd;0to06|Vs{nlumCt9A)HRAApsWRoKzz{T( zH<+)q0>;^@-Zh@paApW+{lKcx7Q;t_|-_&lEQAv=C_IKSS945fT7(a z=v75d9;=)RC+x7xy^yspykbYj?5K}eKPG7c-yo^Q(BeSfX|YW|J)TN6te+69K|f0E zrw;^tCorKQi&|@9{dEIM-&yHFYEw~S&WEqna->G)r)*z1rlSfelkcWiO1s<|hV-7d zNjpT3Z5m0H>4SQp;~_?n5fD-0W7UH(5$PO4QZ=z7p&M<<=*VrTTXFO5ZBh-$ zo5!cksz9F~L98Jx7Pp8coYb6|mqOV06+qg!2#5kwNw4p_8|64fZ;*t3I%*bRaanR7 zXujLnx|naeiJ2)$RuEl2Jik_&QloY)t4e!?vD3kgfr&dM(}rkse#EMlBTLGn!#YQN z3gcNVf^A1SifN?Zt;M zb@Hs|TDFL2(+QcM8ZI@;-x`Q(b6(KtJ`O7ZKQaQ&P(Sk?-?RRo#~s?pnJnwY<45?? zl8jd>YK{2lctjLPGmJBCGV^OmikC)AWBZ(y&-^I4YijIx{&00FiC~KA@H_G^BvfY$ zfNCA8mdEFb&8ix=G$zE>Tf26_&H#Jy0AQ!^siXt&NaWNd^uaWrrHL&)1|$ZwfNx8h(7~7#lR;D6@;GiG|1C6K% zV^o!Twlx>$I}i40Ir5ndsDyrl6c)nf#Hu51%f@#~boPt?ppo6fbp2@Ixw?fh-k|2< zdH&H^7s?#po)zE+`}fYRcPFh%f?Yyg>>-1Uspk>(`zC;PL%iI{p(T>CEwlrwMZZ5~ zFHZWntkaprD^bxw61X%bmI@2QJoVVQIVu|<0<8m~kXCnFc+ZOn{Ipy?)a7|?uJ8yy z9OEcAy>gExK)%t+=j+0BsoiVwYexMZ9`vE1Q1~37(}PmHv=BZ#!p$@XGF^kpBdk#+ zsh0Q8*pNlX&A+kh{5zy`KpYinLik_ex*W!VcPqLbOio0jqoK%owl}+`_`g}PKM!3z z_d2Q|xK88ExK8ng1xB^AG6o(ujM|&^E@j>zsouupw>44XL4dS^vJ^bP7X0e!{9rkF zX4sBHQJ|LpCN06!nYYG6Ttlk!@cIHiD?U0y;}|Rmls|}A_hS+qHsYOv2ykGK>!j@B zCE?wZ&mES$iYNIFWQ6^Ecael?Fb3_7|E+}uLgq~ryfe66Sr^ISvfXJ4n06W4+(Mwr z>4UWGfDo!C&Rp`uz-qsSA8_NviuN#Kc3^JtJaY1|MLY`^4XvtJ64|ym5cYCxVJ2Gw zNh~?I5Dk`dKaMDXu(k%RS`ow6l{4FevqNPUXC(qy-P6M}CPRBtD309iziuX3(2n3H zzBMOe6BaEqXXTpA;eN0eF*6cYqn*fZ9StoEID4xT%h2he!pn*aWq_74s|8<-_p8%>0uOHuY=ijwP+V8Db~uGi5t3JBCVFc{^>|H6Qx)1+U>c_`DYf%f7hFSa zAm_|HunK3J6)5eS(hq>p+dbH;JT?K;^e!`(INZL{-!HdGL`oW=$bp=$)bRA^50xZs z^{`$kyv$<~UH@5}b&H+YyiLRVm9c;%u|N`|qXwV1Qv7)CX%EDje68mdcsixFLfc}pQ7dWXwBtz9v5d~|kB;`iR zMcDlksWxQlmg6oWji}4NCcRecQOVs08=N_rt{;KCQx(UUaXy(J)z9)@o_;h4bhaU# z^IKEu$!{x{)Alj5pgjF^@hZcV?hd95O=wWTYn7w%Jc=TQRR4qdpshh%v!4ACttm^W z{1y-}=n1r=^~OGUO_H2K&(MNZazoZ@=FE_q?a9?Pxl{5zlr0eLgz23LY;COY>jnlN}3Gv+wez zvh_t;-Vn+9<(74xdPk@cVD!Fo!qXMsVmqSo1(&AXVx6CZjTsfo_5Fttqh>c6=uJIu zKVbf()2iZ^*lU#?qZ_`mQ+Gdprx3fyMrIm@UuD zmW-}ZIC*zGUJRDsl|{O~zwiq`>xsgfB2Kr-VFqB&feC4sLQ^#k5nHR4`y}G^`dm5y zc@yp3khrd4b%TRh)XJhYrf-wdRQUc0DcDMsLRRLVUiT+G@jwf{f`~E96M14yBhm~ zc>fC?As=&rvrjt0z0_@T8vKE}IUkrn=6z^EK<23&Dqg`9emEPc6V>{D#!iLNgn2a- zghvO=^^cd1%r1#0CfpNU&3l8{R%JRbJ7Y$8>l$lLkN_J`S;Yq9Wg1KDi4)gyUdqCE z62;$4GDtGy8Ez=RW^ZXsc)wh<;LBwq)K;ej>CoE{7OdM=2x+U07Bu&*Koe>0jbt`T z2IF}vv{aTYk8ufZ_?M}J0Lk3?`J2&$mA#Scz4{FKTH;V5@>YS5`aPhJFjndT-V0tB zJ-4oXEjI#RZPz#FoTpx!J5NYHqZ8N-BDZ~R8qdiyvJ-C;E-&mY$Jgae65~0Tni}B> zPC_bZ^^KKP!f>0wW-4a5AT5AKi?%>gdptIaaV9=y3)J{BlTaJqZe4ZdVu4yg%1Rcv z{=Bq8alxoK&Km1VFm`pw?wd2CHF4FEd$Gc%O%g=dL$VxChxUJ*5E%`=OFdUuFV)F1S1|I~aJ-gZ!#r?>QK zLa9H0wPqVbDKCE@`sSO<$(7Mw6-1*(PF=MEu7D2u1_ALydLZgUZ+*J^FMz z?ODqgI*6!J&H^4#DW~d(#Ad}NAwt+h?j6K8)h27-5Wp6)!YT`P1h%7zV-hYarZH_6 z!Tk~p8w3a8YFYGfG}Fi(q+qKVO0vf#Khjs&%$55XMl29-uK_hNWM2Dj&$rQrNg;nbMlsBHc@03<(K}$6jo$ z>ojaP)<<@`+!9O2GMlPfLh>315<>`(VBiAFr=8Qn@9XVnCT84I)s{@Z-}>f-JGJ&5 zWi;TTpJbDx3@`mgk<=5%Wt_LqN=p2Fi<5?RboD=x>ihwbH9PN@Tl$nUrMeE}D%J`F z0ipyicgmbB*1^Bia9ad2p*G=T0~*SFF||l6;IE2CYd07R4zY_opo~-RS4u_DE=^!y zEl-7CcCa5xAzz)XWjV7%jYCJL9;7-Ev8>ccf3cR1RhF_Cve^5V9`IReHGzu0= zz1BkY%YlX2LBk5HR@>_Sz*qd~^-O*qkzUgHMWM0>wm3v??snQ;1l`)mLaLy_l+%WN z@LtAs__dBk%QqueP4pZdR+n@)H$ttx1X8ku+r5@z^z00iz0ul{Ly}J^lu_b~NRQ?|M9XX3 zs*p3}I7>joepUAK$qzHBbEpYZBOnO;E^Fmw55|}7AnCvS87;h*b=ef0@Qjf{Hb9?C z6IU~hc_AvB#Bv#+U&yHMibegJ_U%HYImObwn^BiFcx3JNa#WlrM6a5ES1gMpZZTH1 zJ<##6=)hbq>Xjo9lH$%Bce~Rf69cHwt#-~C;_^FexzL0^LsmL6w#a$zS59ePs+@Qx z!%%)13%*w1d7rLOwelFq-MZO9O3^eKg<%DE_O1{3vCNkDY?Fvf0o^19&kvnT-vqW+ zXgbI*__H=HvGBMap1#j{9Jwb-ZE8s+GZXGTf%dh zDnUQJh9GJD9R$0R*j*1l&)9+zCcJ2`+dH(RpD4W*;rF?jI)lE^2F)#V&6l?nj$$1E z^c$t42omF5cs6NGt=01Bg=XGjL&<<2deL2EUejEFrg{UN&t>W2e;jf{m(-}Xb5y=s zQ;4a~0Hv~}L{aBqEX$DBC3H5v9L2I}0%`JKJpX~=#J=d_$IW5NYw}5}K*bnO8Zk2) z%#e>)0hEJEE1smo_%~zd70fjFzu?||pvl{38>587snoiv=P<|VA6m2we+s|+{GcS} z-k(gIh@qpYQ$lCP+p(Z#j{bglTOqGts7Q2CUSEdGt@6}T=W09sQNl)HCD5EwcnCf? z&VH5NmTjEWcbETflT6Mp5(D&4e^3=`$B3(2;&IX-<5As5&_|(JnU8pj-d%B5P8$Ab z?b*#*ypvnHAreOiaCClBqvDz{1jY{vB@X1#TuQTCK?g7u52)0xmQwoYg!DAU3rMKK zaoiTRPt0TvpZ$Y0L{Q>o)22^Q{Sx2KNzf&0>JBPG;^-R9glCe7w4KNvUO&zuW|Zor z6bLX)Y)+xFg&yECJs|ZzHpx-WvczkldQ8T+^ttI8?1E)Dn3jOw{#4CAE*3Q86cewh zaW-==K0iX^N}$q61(5W35G64zGV6eRWXH0_p}K(#)$z$!-dQe1MJyS=4wXc6F=QBO z;H$m{5FP2z?JL2FHnlr<17~hKcTLzAfyaj&4AkWX;lOHi#T&IY{F5-9RbW`v~hxPy9aq7r{|cFHkr5TYiIO!lf6vO7hB;^`>my zRdi=w0dYtF&-W2`6s8+$P#16wQX2vq!;AUUK((hfLl!%LOQ|3AF}YTyGDkUuPT=&` zLa^Vqta%Qd*Q%&5hJAMe8$Xfe1$Q1Bck_UWUssHTC-mt`@Au_*GI-r)i&4P@4iJuH0;G37U52|HO~fig{Lk8SSx z@e#9R@kZUGOiHHT9&Sk{kmRsjG_SrRw-uzyR&hT}4pt#ys=0C<%T28aUg-!h8adG* zfDpHZZ9?K|2{n_RbW_!HkXCa?zJ;#ylp(I4=>Ck3wY1?zm`{;O>T^tn04IXY5yV*@ zg8eo_juC!eQXfaM-K=ZYIii|G#0jmje59Uy%?zZTpB?MdDkrDLOM)Y>MI#GUvT$(5 zt`TBJb_Ry;4NClbb!DuH$28+~fWA2Ozm9!@N+^{Z$*E2K={^Jg-wYMBpS)-d{ae}- zseTfcF_hD;impxQ-LxpSAHF689JeN)*Q)*uy`n4V;$=j!0f^(;dNzi0*&KxXm;^&i zPiTf>i+L61#7#imrHWQb-JfU-aw*a zyDZi`E{>5uIn7$L(q{T55k59oKPA$3DA(1E+x=UCd(qnA91CfXb=L*euq`+Z+)vT5 z3Vp;u-A-uNAxAF_$6S4P?+%))^6&XJPf7h-L7|Vl6>Fi@WG!OU+|K5a0qF_otd)

504VZ8`~0Tlo(`k zrAk2GI!AVng2iyPfL8A`i%8isyOk~$@GN8ngDUF)Qzef6mHd?~O*25jsQxWxk%@Jh z=9D85dx<1lM;y5v%A4KWN5i!AGK z3KbwM-kUucddL7`p|Ftw_I9FIKPKX;jm>y{sdL7_e{+gU)mKFKo_Be@G(A|s+o)o+ zJ`?I?CPfLhBk%aE(CF7Oi$N65oH-eZ4uBf!2Fixn@U?!&(QXKJxEHQ zIyWUlbXOPHAUfvBNUQF)v%Oz*2mNHYF150|L54q6@aDjMBxU6g%AeN^3i@z&thcDY zc{m|(Ol|zQIhvD^9!EdiUm1dM*~Do^`UPi?@|MVS2!?SdyPm zcCq4rQlNVEHj{PIjg|&t0Z}V)h1>RH4m>mXJI3OfQP%S7m>$Dg62ODG&E%8oT}}}o z-K2MU&G;@IbDDuU6^ga(z*K>Gur^WP&QT#VJsdxTu1wE^9K%e{#dM8yYbc$UH3>)} z_gk<1Q2aooKjc9!puwmCP6Iu8m1pjFM8IZ-4#Nc<9*?GCQs$EjIa*tIOauH2fy9?9 zMT8?-ch)0#9kSs5$TWjMCrgpBhqssZEd;3YO2x_-k5I+y?7$Hhz$A+1^D-|=+K-h# ztt)k3N;-BbBY+fL3Sh(bMT7HMkP}~FKUp)~@z|S3xEy)H3$x&GBQwH!dX?^cGra%_ zV-`Tp0aPnaMvPn(SBx8z(02#h?@E}HC()=}RR4P|kT#Q=$=Z5Tu6-^&KGdH2UjT(b zdcT^Ny>RM@f!Jpa;QqH07_h+{`==uIJ-R0K0gZ1mO~<e5U9-{9h|r0vHfM(>BXzGZN`);KjMgcvHNWCrc(Xr}Io8j!@Kq zxtQb-@QLec2*CTEfZ{(GMeEk#09&n*^U2}qKW_KDcaG3qrRQq`#$7G*Q(H7O2-GWP zsH|?kcn|yfLGJr9wt(?yMBmB6H+#V@*Lo>(e#~a4YmXv~$%ZZVs1Otm&W!@a&*>{j zOj-wQx`l|dAt>rKh*W0h7^H{O+U$=m50Y zb}r05Q(V}->F6D@##dA!gTAQ^Lqo@8tcVyOyeNBZqBV2cQY$W6hlRa+-3~LWAq}mK zq3BZA&p@kiG?5iB*NQt<_DxAe=x6hfQhF>T4Tf&JSgnu?)Z+|ce!2M5471Ns@d5+k zn@2$tq9c*8`ku;J1=v?o{;DO-T8mA`@h2q)7M0y2vaDYAAN59xt78Z=vn$|dY^)x> zkoeg#<25WajfY4qBwcQY!;!ba)I5q|?;O%^)>f+mnqC!ZLHE%fxSiNw9@0J5E!5Ds z4?Y>DHH2bxl}~_6LVrk3>we=D6Q4#?J&$lp!HE34tw1`2dw)i0vYpI=CBlr}TdMMtl2E_Z@p z;d`s_`_G^~<&d)7{R!gU+8*`urb!$&dn4b6j zrgMUjAtrvnj8m`#zzR*MdD%l{b$CLb*Eq8Y(dhX zz?e7z-yX2jPCxYK4ej!X3@v-TVZomB!~}xylerYkK^rf8Ov!QO@N{AeW(MXP`1%Mj zx(mi$C^3EJh;IRrUTNA;aSPD3<&PmpsTq*{j4VxT;N`%|Q{vVIn{8pee2beiM3_OA z-5UO_ouQyx&HR>L`K6EDAkzJtulMoVQ*k6;fT?2Tz56vn`rSu=a0CTN8s?Ao%2e&S zKbK4}q2D-e40%3htD(_csj*lF#PYnJEi7c>#ZVP*pF9 z6Iv?dgd)q2552dMX%$=1lHj0o?N`jl;%ZzxKIk&p)7n0$dnyDR+TuEUW?~F7NS@7= zPUuNjpa&A-%v8WtgL?`&U1q+vP?V&lEF5)qlRqFE%>N{`vO?A*Ab?Xhac1%W={l6OcgL@$DV4YBJ}bI9U5tWIqPub;+0M!N zOpqhLLOw#`UtZ4HD+g~t?CRnh8*X8+&zoASNP?9GgniFoy6Ba|sSeR8ouzv=Zc)x} z9#|UA&0iEefWK3_CXcIDiUmoOA_yazghM`iry}@drjPrr1(|#pC{s1+G%B!sFyWR4 zzkkY-G4`EDyvk!1u4?^zg$hsMT*#uVpDtB2rMb$wRW8& zvM`ZHq(UFrCg5|6Hz3%vJWx=&juHtYDZ0)@(A{A0#BQRiq~Uz=;$#&)rgFMFcq^~q z<4~l)?>$656EO1Z>UFZt1T)zfLe%u9=_10bFL6#zA*W{F&Fd?5Tx3>`^obO5O!ro&HkRQ>z2sKtF@M;`SRhONM(t+nAupWoI>5+AdK?l0E2S_#(qCk_l;k*$r zYA&i^@;~_|Sfv7)-YpHNk2XmxJo6kqOH<~HEvuNK{r=t(CZ0eIt)i`ZU(V;MyYfM0LzAu@X|?C#qA!n&Yl=3G2g6Ph$3pPFM4~`kyEdl>)yT%NxLG$gIJhM6edUkZEuQ=2Y9hHiw0IUZ&j|fo(CewvDu)6 z23dR`&@ci|GTzntrE*jhJ5S5N$e+j#JUrrler(8S0_-0bpjA}VJ~OxV*EHdvmDIE8 zbg=uAwzwW9-xYWTi{fO664ZUxqx50}OnR$-zgjpxD$1N0g5qyb1ybeec^?Gl7DSvp zMEJ!V?+t}m)?bR{x7Z6dx4E=pbR(LCn`NTkISwke*DAo5CAwZ!owyCp!*t{=Vn1I? zP>1*JWCftO5>jF|JR}XRVJ>QpIVMl$#L5F=M;aHRXavyw$rs)a(nVzzoqXPf^;eIM z2X0aMaT!vMN;}XWAPHb*r3aL%?#?fsGfo-In1Z#ZlS9&&hk#J?08_c?CJsrbux7=C zgC`OG4u|!(A+Ii{oXV*Vyg~IB#1mx)>fJ{bToLka>tikQJ*FhI#$!~T^&)|0OFkpa zsj6#lSD`23xY%)fGM&&p)wom@#~s;U=V(W?Ihk~P#gJbDnm(LZSszT@l)w=k9?H}@ zOv#0Za0m+@vC<@m^|FR(=O(kf6Mq|o)S+_pY=DCVqN7!ccWg5FR2wwelK7r6zbivF z5e>)xzb?+HyAnWIx3O*8wrx8d+eybZR%~}{XT`QVw$b5=?M^y4=Ze!w~7#CmC-M8YHuZ=FQ!`F8N|N@d|L_qUBS7!;ECL71EG-r!}81! zqXv02oqZ=uGzOLWp0R7^`>t(s{=oobI-Z^vAd<otW9`2BiR%68!81iW;w;5KH(U2yIeQez*p-N)*&K{q^iGu(MII zG6(OJcqwTERQn)I2lD^wW%m*_fcv-EjD}r`N})wNxb1vk<^Yl@Ac8|T8R8~L47PuWKL{9DwR zM>!MKRds|gju!vo{zolCWu&(^ScLVV}!7^O4Ra51KY^&>Nq2qe}I@G-A;`;Ux239EeOchdmfkffKCu= zoN!<>LJ?Q{F8og}){OVYut=Ds_^Y}R@kjrpkfnfC4mE}n8L8ky+#kmUD3Ro%g-}O5 z`F}km3Z=g8^g2N93mskPtfj)TP&M|fbZ@V9)oy>rVU&Uhxp(h@{IA3P^X$2l6TPzc zd!}~H$z?us7$L;HW@ZK%*>%=gBpUCnw^};(b{w%W^9*Fd{LTsse2>~P%s*qQ8KA5- z73E2Q(b_NgJx+)}Ze~%u(dy~)sLXCG0Mo3W)$>qyQ4K{kpWqJND0?}044?J<7&>sM z*5Q+=VX^r2Y53H?Hp$fS{TQQZ%^yNB7*dOwd7c-a=D~2;5R?lfAzOx1np|y+2ykOJ z6M)xFvmjV#9ilpWI65h0Y8Ji*ELYYA^3G{ep7e+E$kYUZ@>nK#DNUs7yr2S}tZC&l zpwQ$;i#PLkD4S!6sP(~~+@xF~r25+XLJOYmMKM>vLT09K3liMXPgnNVc;C~N+-~i_ za;GV^egaTvLDl?#zy4X!RYu0y@6#TdFr_i(_0+iysUR!jk88v42wE559uu(hW?=$F zSpq$-UWV?qOGi|eIGO=`8L3uaWs!f=3V& zH`koRjXu|l_c`jZ)c(BoJR8TQmkUv-6y@E20#I@$M}&eStb?i<@jT>1`uiR{k!r1U z`^S`-AL$D1@UKSkB$%hw-)U#kYn_(Rh7>k|Gc_(cI9vte6&=i>L*~kI9=Y!9lqT*L zIEH}xUFM%{pKQ+Z5ZCI8+A0>ovf0msk+LR2Go4ueDfvo49iiG*oQ9*we0CjI(?9AF z0>U6S@9{e^4~!bvNvUV^GW1Ys+S81be}z_{euV$QOJQAKwzSfyjJ|Q&Id&BKsisz) z_rT?Ny{kZ2w5cE|Geb`LrhWqVo5O?04sdov1=kpGInr3B#+Y!E>7Q}i2Cx@I5Gq=y zHO77${0d}b5__eaJwb#c?Y$Fo<4+oaDVE3n0tuuv)amT!N%AjB#Qy)z@{?6M#()X2 z<{S-IcihLpVb2ZG^(1DNtYZO~)f+=fgbL>S0`1z0P1r)TuP0YxY$=kyIY*cQZO&R?C>5m-(GZ*8N737tv!^2f9Lh-S{=PU-plD{#G;=~JV`&AP@U)8M?3n#Hu(+CaT^UeB0r0sz#$b%$7J_;TyhzA zG&mz#T0g%hu!3&BKyd-10pkd+=V)t(5(i)zq{G{Zn}3Qm*xD&UCG=PEB1GsIH;;%K zyLsVq4pC=nI`w;heGR=^`LbFP z-RB0MvdOF}Pb@|hi0wZnjyVhbVp1TMG#pm$UN-zLBp#i=a(8`x7`Nt>F)iF~pML$2 zh4A2-#$H4xGB_IjTvjKTwRi{fM(o?@f4}lF`|)fACt{pIr!xWmbq_kk+HM9WWR5Mg z_L$Rympqu&A`_L%EG1DNeKy(3x_Ol9hznsHY{gG?A+QJv<;OYt3p^updAY=3LKU(8 zQzkGI1qva2>LZsyzv5gmwTJ}6R|Ma;*GFa2)eBwUVQS4vhZYX~2`ff>kJqst(sO@P zym^$a3B8pC&L>RJr@CnaF8~Ow%2r-m0_LKo>%<&|-=o15{F?|q%H2-lSE^=McNRLz z*&!|3^sVgCG_-H^B0;o;bF)I?qGk`dV|>z#@jd_YJVxxd3ZA28{svEAt%eD%2BG2QYId2ds}{q$miCX3mtLH#6K_>Z2^@ zpEHvcFodqb`pZvvy8jYx!s64tw?#4x=lG-WJQeiV0=RB>;;o^i{2Kd+r#o16R{WW;FqXI`QF!ZSHX{01@UsuO#{XL{YrvZ#! z8Kk=8_ZYT{Hjn;Dbh|ir~%TpCUtc^*mD?@P0ul9wkMnlgITm%dSE9nMMYKYt@3 z_GLy)^zgnSH(ASSl}x?&_`o-4w%CSf9!gLX;%Z~ml_-XRZVy(22RxYJ(|-=f(?)ai zq=Xou9l|SU;KNn1qmjwTpQhc%?HFjB>_MLhRTE^doU%YqrkXo*ga`hVk8$*Xoqez9 zTDMI`Rs0wre_1r zq)fNLvfe| z#@42M$|Dzp7p`)-1vzMzv$%#giStpYpa0z?t{t2MH&8`UMOJSJg;uGWe)VakB*10S z`sJBUUhd)*Tw1s#I8Y_N2xTW=^Dh^WDf zB`n(#nIWBGXkS<>3IKXK@$4Z2wktc?WtvlzDh-@uXoMYduMRC2li?R(qbqB+ckWSo zRoHjIUyyb*ROg=3PP|r$fcTLUBIVyO^A9ojXus{BXr^@qzOe#V%Mxq`m)rx+_^g{K ze$$G<^D%(`<^EJ$N8cLLI3enYrFRINLmS6sCp&^F!0GcICizd~=FNR#YDk?cWA!|kPCGTr-fAblb>64rMp$7;PU}D!h!RsQ>Xk=m$BhYhsAoo zrK~BfWTajp>{Pogr>s0j<;lbo9&f~#2CYn~)et9TF8dL!NjAg5}w_)UEy}N2|cHPWR`c_ofE0;b@Yt~B%^-rTBQP7hV zM&kyS%abOx&zf&U_~1&gJZw+;4cw(1m8iSpx|(qngICa-0`#6Xz zDJLz&k@&-h$vf#;OK8yVe$N3vb7MPGT0YjOQUvz%CBe4^*R6!m0aIa;O}W~?qt^!U zUR$LRelr#%*-X#3tIg;va4Gr8v;x|F3k;W0(Z4JPd(t;mqc_2?4GsBBS69H@P<%qT zqlBTod~DLEL^mp`@zd^G`_TQqa$OuLWaLEHKZ$y8 z0y?WTr3>&`&D^b8We`@+lXI!6glndTHA)#%s3z%LIR%QqMQ|Lf zhGsGS?<0YtX~&~)w33SVhaz*{K>3XE1_7LAT#RD8X2wIz`e``zst15D>=&Id&m0dy zxQG8_lL0jK(vEQX70biZ;$_`*pnJr)qSXDFf+{Bd768iBsfW0(2W3Zmuj^lp_ltwu zslyBvTn2as1+U|p3y<^e!DwiKa;1c1m5PO^ucBen_BhvC7o*ewWh&(Oh)|od8nT2= zZC}dNri;|F&Vo%f|E;w$^x0UI%=oD4u95VBuANVV=TyXWfRN|zM zB?8lkJ6kTn9F(4wvF5fM5$5pUwGvsbsV%pvzkrv+R|Ng@_LDC2q2Rgw2I~XsE1@5wEPG8U0ZH2h7fBr9pp#^ zgs-8Z3Md5vqiRz zZaC*#IkPGMlH|d2x*#g<%IJ1xsn3NWD}UT+#=xZqL7pNJ9-`+w?e^)^@3;&N=By?5 zAbS@zU7nco10vZTO%R?p(iNQOCJ#L^x@>{J;d)SgtsvB=xj6GU#J&1HD4@cC<|loF z2wT3~CC%wnR6Kn*cR_YY^wNtAy630x%Wf^D=xER~F*{3cG+|8OivP7?KL^whKv+xO z;0vcTdU2=)Xw~z$8Ua!+AgLQ#B6ZGOGI2pEXb$~7C4)e~nJl|u@=hbL0iIv=eUnjEzm zHob@V`1p>z2YbG^Kg1z_vnfxn-qb*ioEkWQxP$WN@|tgpm@h*Wpd`DwnE8)KN zl9NJHp`hO8o1&@~cS7-?D2g(jMet=8rS{n0 zap9NAniWDll77YC|2!AH(Hb`gR@m*%LG{uX=w6AZWp0^((<_@$UJtrU!KYtu)UD;9 zpC)%YQJ7Vv>}h)(`d2FVgO3?XGDzH)E|%HmO=wD#SUv%1(Xx0Se0q;qNLYN=4;tRK z@`;@Z6gtKc@5)$SpwfA&gfS~2Z)TVcR5w*3H@JyzUE$3V-+$>##OcDEj475u?LJJD z;S8He>omx-uUxK3Gcrsj3x@L)+=F&)epXt2?!FJ2Zcj%^Wt$T#Y=%GDe=uMIyBD7T zb^l-%nOZ$ZDZbgr6l668HlCbUyI*zKTI&(^_cb?jl5U1#KIa^k8h#OSVv`Jc%_5jWckrHZ+RG7mKm@e6{46i36V+(tcu!i@`Z>zRe9o z8Qa-)_uP@prBmDd?KsZnR!y4blA(?5a9MBiRDmZ&QT5(TSF*@J4^<2u89ZyG4q0HY$o`Bj9bh*Wx->t ziaFS}axEDF4llgiF>@iV@eEBUQ;=&ooU_pz77ho4$tGE|rxWY0P+^e(@u3lkN70YT z(Db-&7HK5iYehu1*_Ayol!;#4_u{qg0+9po`~N5tTo1c(ix+iu^X<<3p!1j`f^(MXAMC&j9;s#fkF46=m6#e=U3mjG&oaSTL;s*r zJVTrPKdxY_)n&`!S0Htox2o(drrtD~Cs-OJ6znRW#6gT;* zWIXYE*5K)0Pi-yVkb=NnWv~^?RMvRXNzR8;sG3OE#&wkYl|2+mnZ6VePvtLLSLxZC zS1VKtm+3BvS1Mha`vwg2Q}mAM@HzuA2A*+!7LIf`J1qwj+Fa#qUT#^4pJ zGzDw^E&Bhp@qK5`vk3FAkSRJ+IZWCcngRsa{A;2Rs*2m;?>Jf)#xsXgTo@f^Np=75 zbW>D!{wSz0Ka*|cYiLD>l2*(hhx(>2h5K9*ykD}HkUsyAHB^sSZ-m%Z?@Eb+?|0dq zew=ECyVY*ZED}#V+MOsVSD4~&Lrzk;qN2igi-Pi?xOr$zOyYA_IjEct zmChXg5yd>OHG(S{JMP$5<^t?E2eC_0#gZ5~NBxF|#-60a6M_|C*PS&$E(rhX8epis z`XBlE6*t{+_AO(Ag>Kc$22C-xI5Fmhel)gMnk5^Wicu z^#h_8^>|E9V!v$NTjNS;ed0>LDw8ri0A?$MpcrrZ#cTAWc=(QXTyB98#!LyBV?G>u z>;qmQOnkNMH!kHJX&P7pE~)OJn4>^ZB%AD?)I4-6c3g;9-omnX2~M?;Uy@8>FnX^@ zl`%s^)Lhd!R0ido|M^vB|9tlO#rLcDwbTiJUcOw`&@f9smwaJXlFwFJ1rW}*DrGzC zV24x7P~&uQ@cLjT{5l?7o{WZWP556IP`jA*n@#IAdZcQTQOt_I(!hZ@%UIv-_kMAq zY8S|XA^+62hZW&%`6L$n%)y+TzViK~{(K9U`*U$-NKBYRm17Z4KnCUooI15>HCSAg53znbE{%@gD5`&^|0ZI@Cp7oODRpJ5 zGRfwC$|@!kdqa1M>YenR=gfDuIAunEe{RUbZ_z10u!c^U zS3g)U1Zp$Wzpb1#Gs8Ty*1#z?aX!^OD9gI7+Ufm8+FArk=VtRLGqo1OEkMVye=$-r1G-LW+C-Ag-xwwC|@gG z$xHv4GX^TE_h@isBVFHEfx+8p+8ql~b;)k2PPal#Y9W0+d|{(j55x@=RRzU&pH7r} ztd+T?M-MZ2JIV_0x!f(LZ0hL6*lObH zFy83!o5<|IuxX*MOfzwxP zm0Pc93A`Z%?%M?aSZxC2kc(Q`2Rsie*;8n%uJ_fLl;Lg0%xHW2lk=9U%%Pq%628Y* zz4fk7sgvbMnd;5T@-EaXgLr3R*@@4kOzhUHtfk{}DUf5A?Ba^gH4W4n`E%Axg}!h;&}0 z)OSTz2LZ?b#AKKMEYMQ~7G$opzCyzWrArGDNK5A-jn( z#z?x?-tTs+V62ah*7JsyAwqPaaX*YvCGJ<7x{HHp@L^76k zsX5_Sz;phrL9l{|Sr;jj2$VqX&VE$M`2 z>l6}V^|Nc2FYvXYT~jhvN1{@pCIU-ei0bEP*EN%VZ_ah{CI2rD zZ#W}3Kc7469VN@C@b)LG%J`?ea+tce$zN=qQEy>#H70EsWJI(ah?C5|+Wun<%?jP; zlTLrBcVwcXqP*E9Q~?MajO<{aI7RQ%4%n|0T4z3(GLy+EE*3DjUM-Q9<;08j?&a*1 zb`?d(*g~e4x$jod44+gCg*k6!_3OTfhBK0sz^0YHPc7UiW!We|SJao~R(jfhBxUtN zfvy>okS~`F={Bq^H%76GpED&wL`;l`B;5*pD!b;FExu{$&|-zh{OMr1jeJ-g2a3(w z5EQ*L;m_*a7TrT=PAJR~K1GJ^)xqSY8J5cRYh0O;qVDP1qUB$ONjcW*jY_0)CGgAZ zO>nVC`2!f}NAJsPYoIEyh)VAqZ`YRWns7 zXU4*Mw)fWe*?+3^3^C0+He^qhx>IQ271^Nw3I2ny!`@S@k+@U)*U&)E!k(8l9%M}A zDOEUKIkI3>9aQO@2INOTSE=22jAVyb#!b`YVWx$6DZM(ej1s?{1oC)2%TnrgWdV~w zR{Upc6ay9*=lCsTs1{WJ4h^juBaV-lS3o82YZGa0FN$r9SPe9U+S|}zA+Cx$4dV@j z8=-aH*KvmuRru zR#5Dl2w2nhZM1F67cjq5Jpk01aW46{{<;d>mdBEtAb`c-_Ec&tVEuvjHL9}V(lRya zd~-sMPOFx`Eg-nsju^805RkEKqaik1q|ME{8=B%ESMMZjuO@BI@&otBaUF9lTxgr= zSglU}TKI<fLarm}Qplpb;_G)FSO~vNuWbmj; z5HqEly{y>R`{WzSDihu(*X{pKngy#xxv(AuyFZ)p)b#+HLUFY?SopOXhBvq!T*}k^ zTUA_OQ)z|CqNkuKj>=+}pnGg}IUs=w&%_-8JZya3k5EK|667@GTx*T#mSf9q$()lg zOtgK3T$9QOIgb8xff4A`0H0z-%?&#qiG-OP2RHQ&TF4w;IKi#+) zx(UE|4U|}B}S9zHiy>NMcSy4Y}eb zRMgySw#^G<%V_wk5pjJ~->FW(dIvsO7R$TZN6 ziLn~JP!GrcmanyGAUEnxDUb;kT|=U!Pz=g$xSD^wG{y;+fOS)xQiA@TE&Q$*tLMhm z4E8#*T$&_v$U_QPVU3c9;ny!a1JGwxutTy7E*~f)CjvORV;gZWGXmGPjWw5yob!tW zLknW=StNxMPaJni@TY$kwQ&WqjZV)FYWMU%hm~(|j9ucAIvVta7=e0R65ahMgddT1 z6sI&~=;mbcVCIN$7^Kf;oW;1_X|uLMH>sy+z0#_5p|`mJN`VEOZt}#ZU(`(4D%I(_ z&hUS-PoA%hu8NOF_RtY1iDcU1*|!VO9-hdM9xfx1_IsKC&2@ir>5KLKq>J#Enx-NtC=_ zA7#s07cX8rWeT_STk&*+dOGUbOMNJ+;Ui1Sd#2#;d_8r03v02T{@ed$Jyn3|9N}s^ zC<|FGc%C7k5N{_9>9zG_0{7EFXC1s+uSsnG3VnQI8i9?H8BZiMgt_!=Ck`LmEYo4dXAs zx|BfXmtBr^ri!O2Qw10;v%2)%^=Bvhr=bl2tX1hs!IoplRJiPiCTCb&f=1Oe=Vdhf z8LF=GkYZ$K5IobRCV2Ka*3j@u2b%yp(VsxV?r7IjbKf;RO0=kFC8SF|A^G{Eb%a$Z zrd2pUZ29xgo;34Kotv}xn)0ZDrN{^>Vj=1;Wg{y#WpU!6FLxnn)F#C*R@T0sv89!M zh*o{x4Kr6As=>9auNW|~GmngzP3w*w*jfN)96n@S4n(ffZ}vOSYYK zlqxl>zS@$Zj*vaM<6}#;3YMj`ooDuuTFEfE|I0Pw~9{&<^CMywxS- zP3(PlJ>m?UU6Sx-2DsT@+nGo(wwhdPT8+ z#^`nX{0rF@Kaomn&n4xoVxoW2RP!a22O-$68aQorPJN$+E%e+-0D)}Y%~qEOue*t) zwYh&L>Sy}5N8bR6I%H}u8x>gH_S)z_QdoGvQ&+)%n?nBvJ`NZ#5QtiI-qv5{$S~!| zJ>kn(Zm$-$KJMtfP92%2dK|=@8n)8X{DxxlaJFaKM=iu4vGc`ac`L!AJ(ymq|M1+4 zv==&C(7B4eOrKgv3irC8+0tcZ$#z}-j5*l0p086sr%gK%^#uR!+{yPnRbvy%NSJvL zmO>R`9LZgoHCaUvQ^X+olD?D(C&!IJmHheTX~G4QSv<@ti?bfMz+%Luk-l|?c?{vB zixy_u{7naYEj22I&(9hlS4SL6ZuTA$fKa>vv5gMi)ojUe03UeKyCs(~y1I$;%KeSY zG09`QkVup=;qUb$Y=BMqm?{Y|N0n)FMND|Nnl&OKU}MB-Mkh;&hBlm=>Ys;FZjQ8| z{V3_R?)z>>bv}D_v<4r&z%fo_l?gYUm~x}gAk>`xh~BZ7hB-fBonTyVO8cjGVcocx z{uZQYC?jbphww*zM^3Q#OWRo~;J2}fM+U{wV?i8a1WHS;7KKHDeNK1$zThKR%X2!` zX1~kT$Du&LYKs`;)_j7-I|{6J>ssA8Kf_R#vVdk01$j;#9$$e^?>mY@Nq5dru(&A9 z5LOp{I|SA721K--XW;8S7Qo*&C&VK5w=r}eic06MG$i7K2`mbxU(#_ zA08gt+vW6>;4M)oHN>+EY#pYH5S^|-^$h2s;yjc4BIWN%_>3N<)5ATS_rVrmLJJRmPdX>4?5av(28Y+-a|L}g=dWMv>P zOl59obZ8(mFfubTATLa1ZfA68F(5ZGH6SlcWo~D5Xfhx&IX5*l3NK7$ZfA68GaxV^ zK0XR_baG{3Z3=kWY`SxFX5X?d9NTu@*tTuk&Kq@XbZpzU*&W-q(XrXFll$9e-*fJ_ z&-ljrr)E{nF`s&7t+i^dRTLzW4)(6imaM*s^efR&k<1&#tB=HTe%Y;9@f3ZOQl`7b3v)7He?+RoY; zpy^=i;BIYZ1>kpgcNcbdabt9L6J-2nk{S>QaJ2#gEUayT05K(H9T`O_0JW5&20#jE z4|F!M1t`0j+FF|dHrBbCUr4@iM=^MUizQu_O33x|9AtAY3^e^6I>@6Gsoc~svyE*>1=^sEY|KI~q|HB~-z#M4t zkGGqxt)ht?5I`;FVCU%O3Umf2IG6*S?E(Md-ox4YAI*Qen%G&}dj0=8|6dOoSCfCp z5V5!Xhd$!XvV*T$7`fn`% zolyXm|2I}Jado!#1n4m{{wqb8|8@PhWbpsIL`5AueHd7oxd9ApoXh|gHZFDmHygL_ zf50_!b9M&WyZ#sH|HSg&lim_m=_gSr^g)D#a3GT+z`FiL#xrw)kK# zMPopPmZkfJ0NkgmMVYe-ExI-pdf8hC3oi)XMYy5BHL@zI40JpU*DY+kvJunMQJ!b% zlE%*0JHW*i{}V>J?Oyd6H?$Qba(BhH2bHnqA+mC)|5(5@vH%rT1bM@+w6z@|q(G?j zmlrx`=|irXUn461&!Yf)Ri|&{;qI*av)_!CmOhnJRDkOYmBF^`f&?jC5T`Kwq0gw@ z9&g@;+_I~@)26V`1kdL9nid)@VWsu)T%yqy7HM^KTU7GGwewlgn+vXh?GA;gY6g_+ zrn%w;XA!tP#HM+Ep#2Ggyx3_N?AU2rn`{z7CEFXw12NO!m}QV5GrWDgl~5wm;tg=d zV?Tz7r?c6GV?UKjYD~=l;36MH2)C(}gd?8mjb#5+Yq?TBPS$ z)!|6ZLkfV@6^_i@e z-u1i=n|yh#)l1>6;%It{SeylH(DH?uuLyULR;VK-Pkjm_l=#9%IZVR>^-qeRrq2W^ zQ~kKvL9RGwQbI`*vk5kZC6JvmfL^`&dxJUO3E47tH<0VpSlrr0cxX-rFh}Z*&{z$m zx_m0rX8LNYPWF}sl>OhU&iI6HqE9npVg%=L{3Ee%YvPB1| z&aA*2Hw%YSso!wM98wlm!Y7`ZE#PvjJ5Tzx|e*vS~=EGQoyZCp=#P53(Z^%0f*_ zwmCKq^En%nyaF~i z6t1S-m-MyZ%Mkast4Ana=vxU-}-OF5@!krSh5yfl## zSfoE)Otg)dg6m|d!yYeInaBNZ^`!CK?cPa>?d2VY$k^j~iBCmsOCpHwl^G~yux^Vh zC7u_=yvBdB`{ppNb4w%_4dm9 zvB>q`i%;GN#-Occ9u-5J=rh2Q2Re@j;B~LX5}|38AW88@p|kR8vhrAYf;2dtQpe*x zy3iU}BINzXu^7vuZ&VGtVbQu-QpDCFxvTtnc>Gtlm8|gB#|5QT&c&XXVBz}cA2l%< z+@q0NJGBe?ek~1!Bb0?IYkdRk&$PsN--GaORQfrsn+(rA2Uy0No9s0$=M{3kMhXMk zGACJ}F)nuh(0V45$ltNFc-oX>~r%?Tmue#J>~;4RVpgY^-|2h!IZWB`MPB1 zvt5;*d!JTAP=Qo+{d#o6K@56Ei&MHT@LYs?K|C;8(t#+0Bs{u#y&qsgeL&@1M32L8 ziL);DRq%Xb>?3(gVR({=mCz_>pvCdQ+OK$bPaDu8mDL*W&V2=Ya8mI8>L@z zyI_E!?_vqN?p7rwFIw&*n0^famJh=H>N|Zxv9X(uYzwS1Seq}hdheyRqw7s7Zez;m zqtseZ4qDGWT3}1s3B>0KyODdd&K5KSg#!UXOGa<&q{xAcc&>pP4-vz$cP!!7kcZV* zl42~}Qkb%`a@k7ij(^;W`!lJDM9JC@nn;BZ&(^5X+qE~32q~K@PD=JC>e+Z;w?HR! zA+6321G{w@-kSV5hfnVtKTjp8?!SAd?g-yzS`N17!$!R}3o#l8>C;(LUB)c`rZMu& z_gs*hYDmp{Id-&AOWRt{dMNW?`7L~_%nA!1BhwL?Ca?O#^n_(`FfF1^kiwKAF4+V`o-kvLF*P$k zrjYF^iQij%j4VxT5ahutQR6p+T5MrYl}a56ZFGYi`=H<;gPAba|0loS4>=QEXT&7R zg>?cXvfu2P8ZYj~mMX^45E1<^zZ&dlyR=DI;7a(-BNPeNwCMO9UOo$VZTo@YAo+R) zGkw>(6DkL7k?+f4PmQ^^TO1$GF!pJ;o@_kWjMbQl+qo|fe)KWA5v)he$pBC|bhBqh z>ft&4?u?^hi8H1+k7lF@{TSB>I9K#jGaZ<@^Hm2g-IV|Wfs|2nQ|k+6*WINxuQ%~q zD}r(;-QSbEtif=$B*%PG;DjCG3&&7+BtQ}b1WB~Igi=1lPNE3fQ_`g8EKykKZ>x=l zJ2X@zgg>81tVFT&<+qj?6HfCa?eZ5zI*d+(&%u3>sJHL~)}t!bOo#0<-5xpo{t{&M z0PZThwBll->ELFw#LTj20XMhqR7r<|S9ew-GFN!xmX*fmtKfMxHp4}V$XePtml=^G z;5;Un&H8W-KmE@(jyZwYH|(IGbzBHMv*j;^bcY6OE>D(=vD)9Hd)|6BD-HcpjlUdR zI6gnr^8^r9suhq)*GbTv5JnG2T~yZXUdiHl_`W^wTf*?i^sh%LnWGjVanb!8W8tP! z6Iz$h*TkYIJN$Rc!Z7vYbtBnh#9zCD3nS$RlntPhuF2Px>upO3F+?35Am)x^9ff%| zK6Dd`2)JRb=^RXVwnZPWLSgnM#VCoKC3vD*V%P$N;B1bCeCdMT`84gbY0})@se6$(OWq= z=hBaXRXpA|2d!~RH~sy9rNuwQ@P&q++o`mmq}tek4DtvgwRcV=|K^jup@b{+CSeEL z#9Jmb?uuv=$$WC;#Em~x5QfX#-LMM~ZEZe~q>GW98Wm}DCQQbot-M+h-@Bg!p7to! zVm)h`%iP_tK5lDGabW9G@kyk?q#*fJl#=o$It~S~7@wCZ;g9(#{!?Rs|Bg3TY4;wH zi9n4`)El?Mc1Y5tqVtnMPZi=I2vN!O2MJ!-7Ueah%?5b08k0~rAh)|8O@G&L!BDrK zFWeB5{v?R@18R5ma*(Y|j2PE@tiOmkAt2 z7(}wrJeQy`(zTd`%aYV|E7|(=uClM+xpOz6j1Bc(r583@a=7`}uHolNL?a&>ur3V- zD3b$Z-V~58U>d<#T4*SKcIuY-C$@wFk#aU(^c3EOj)@5p;v#Eq5qX0?c9L5AQajwP`Zo0 zIRkz1r8Y^SizB@Y)(mPOpu-k-uaEa&W9jVO4MS2Uc3UG|`@u1MLW#jm$dLIkDY z{+Ov$F6G8o$+TJ?6bfk zTUcOU8cR1iW7fd++ZPmRhiq+7-_Z-^>Dg}+Qz4OM95abfvao)}nPM>wHnuftBIfIC z=>4SFCh3g<#3cI2#L`qd)_qyEENq=M^POgrPfV6yw?BG2WTQ082*ODM6FP-A3S-hR zgBD5SuIR*Uj<+njW9c34byw0gO$>CqX1W@Gzgp|XF{zz(85w|JTyYl5hpG-c)s7CJ z21#T{1^^H#JdH+=6wHNw(jt+(R_6~H0LxIMgf|Eu&u~)4o7FAsTX3XYSxytP^L2GT zsD!^Ac81YeFmqaxn}=}BexgvK#t8rTHeuQ3@VmZr*IW_`Fi=Sgm-Z?Q^W5$}4 zx5g0R_DdnWee41qYEygh^H}H}GB<)Qh9k-~OEW5)jw4B*WnP`Re7}4nUi=Jk`G>0d z{lLeJ!C%yFZ{C+&HLc@(z60v!>m@is*Qay6$6Y80)O4ZmIt%y#cp?%*4z%HQxNZ>6}1P( zZ=U>~96@z!Z|mXS3)Nsq$n^oPkrwj^zy6{EN&E-eGUq3m)NPpYdR%$GP(MY zL8_wUCBmVa$U4HRH1eG(Qxkk6?D@T6FgiDwGQ0O>7$YCbPn^XAKYH4v;^5CtW+;rG zt_`1PW5OfIR3y2BPy!KKtxCP69+gqhUWiT?Fj-UighS_PkIJ5@V(VurEnfdx08jMOsMrFpSN8b*JiKB@@>cOR8lU`kE^s zf;cF&3Q$SAKZiQZGO&@5Upf>0!7NK^v-e!1%pJDn>>i3q((OumiUvN|Lr%2U7=FOTc=g&CsD9fegV>und}tVzSZPKrHZm$jk|ooCZct0c^5?dV9d}`4Ey6ZI8 zjF-Uj-t(WXa8-&xa3odmre_Y-#BNWGtkn@~*PlN*6`N)`bbq@#Ku5H;DBJ!D`V$_~ znbP!NXO!h%Ih;FM%@?{kMl`W77~?mMn%F(G^MnzM)!1f2d z{jpPCm2%tgK{DG8X<8(@e?Um z>x%>VoshLIp}W|svLtZZ2T~(V0Wlz++$U>NsLG^ngNjJ+T_!#$Vg+4pJI5WaU=D|h zErrj4WHBk5rdRID{l^XAIbf&#E56^V$jTh zGhzgv6O7GB;lV-ms1#;GM&8Q)E$6a9cs^tz7yst^slN*8@A#wD&5J^;8(A&L)cZC-eXl%`@Pt+#MdDo;J@wVkP6c)v^f& zKhICBm>C;v)pc7)?RKVMalG;8`Ii}-vo=*t#5s19nh$8i`{wE^ru2jSYu?_mWXVee zDc&$@JVKi0GbPxZTX-#l(Ade8xGACn zkurR%{lIo~6Cje@Cr8Nt)MP{A3!J0n#uI)y>lKn|D*YDwbZ$!oGJ{+}0RERSZmnQo@VUWXzi%gK z=fpkzLlwjPrcw?#GyiCU1bcWkLJEghAm2=Dg*6=JbMlJ(+rXF9%3_JSeu{yVaR}d= z2hO_e!ozT*A7fMlR#d2IM`uuYZB+HX)bLW%w)bOba44xtD)RL3FXA$XnY+SVHv*ia z8s_ss>90}lyILW-b~udO$0a%C@YzAGJYH*wOQYiCET*(v8X0zjZo2mlk$XBcfPqAaX(xkSm503@% zH>h6f)Q?~)Kwi3>u9v-@5OCJ)7{i3K;bJ1#z9A@{@YiWX4V5-xw^ySCb=fbKYd})8 z>US1;eQF>TKXJEgMx|aQs^g0u`s25f`~O-)9qr#7dEX|hY(_5l@s9odMX{q)JGxgi z==5wbuI9!e?d3o#VN>S9(2?sZBqrR6WDSS9I(KwvE8mR9(YnV%<8>)j7nrf8nuInj z%oBKR8?Hp$C**+j^hOh!)gok(o(^^{3_AL5f5yddRBxet8eI{V!C+^w_F{^3WUZ4U z=xlusXObOv71;?`F3u+7<*63*Vy}*aeL6&+qpoWuVNj=&)Q?s#7o#qsPy9>{! zpDnG>Y>$N`_muS%=ba(i{gfFIi;|{vjs82*m!aKb@;4-}zO&Te*f@D+Eoa9ut5r9r~lZM`b?9a6vvPd)3Y3kyzV zjJ*Te62U{Lk+IyLnI<3~+HVG{NKCB%D=9ZP+Z*=+aqsgO%443)ebg)zcdC5yr)R~; z8@))a#o}c$i`%b#>O0gUPuqu#3n~JwB!)Wtvmjx2hF3K4yN8zo?am0iVj!$yBcWvS zx`)>yo@(XtVr@>DzOH9dO*%Y8ap;(fdGd_i!BE&PnI06ej~qd7Jg;L?_F>9xx;Ay3 zGxLr%nmb6e6L;y9Yz|NQBm?wOW?pP(Vpv8I%VLS#K)T8#K0_EJA?$Qgv|~1JecGUI z8K&nC2JNoNcrbh2XYc1bS`H)rX5)Y6salaB2OO9Po5Fel3`WH3z%3gC z9tzdRisI@ky>*vuCC?CJlF0~WUm8Oxm)bmZI_wP~?8uOJpW@yr-ajhCNPZG*`wCL` zl+ACaOieaSmkc`wH4W#$t%ysYiCDm*Z+hsJZeIC#wzcPukSm?rAx>di$?4zJ8LT9<;A0i z%pD0L?v%UlvRi1*Ls5x4-E($EpyI4QNs5M0x7)Cx=)$q?7SO`@!|188^&a-gFkRo` z8O4M*3?4Q3;(M>}&jd9@&*JE4OmuZrYZi$XuiEDQz=M~pB+OTe6ijog#OQOXsboQ~ zTda>vtF^Dtac&+YT`Mg0%~4^0$Lu>kLCZqV&R4`s*J!Px#iJA1`0AHhWM{kGM(1u( zC~GIt&$YhPTyf4EQXL4bKJw-s8jtM;Lo*2ht`vD0ko_;;MR5Z_5ZoGbw4B~w9`Py- zsBIhaBcZFvyW_sNH@nWJzKnMYg%21=y;C{3>gX|?25DSn=tsSxB|NX<3Ab&3TxQC>d``CGXn}yj zQXV=9C704r!RwUcdH#TkG}_TfQq&7(Y&t=4qc+I5iY8V972a|F;fAUFW z9uxbd_yHHAi&O^lQb@08hM6h^;Cl)Ap;bGnO9mea#|3HW^8;pJpuJAKIX-tgtCRtL z-&>Ob429-L8Oao}m&C{5D|R&1Fe4^1fG4+xY#qX**qvBpbpN^Rg@YS7 z<$Z}^RlNFrW!>^$>LvF`(Zu$?U18kJ8-C75z86`f1u@7Xj2qUcDZS?pjPRS(cfa&L z-*ZA`S^D>SceAe`3@+IU6#19onH&~A47;l5N;KNn$E7#O$hk5(j_ntE-BKY>vS>yP zC^Dl;nl0PoI-j6^$}^v5(Idf=!GsL$`knReXAosFEH^+grwT*cWIE$q;Mt6I`m3)( z4Rrb9MF}3{4DXA%0q0f-iJ#}N_&gLYXQ&-~v0}avaDkHh*XX#?5Ih0>;b(AFqucEo zY*#{NvK&dhXcz}Ra&7bNQWsvYRJa~Q-_CZ5+OFO(t0WlSp_-YC0itVmytvnrEX~qK zilzP%jNEBmWsPq%UElQM+8QC7M=ALVx=XhsRlOdm*Sae)X0sLje^d~vf%Ws7w9Gh^X@U1fLsb z*&V3TR0_GSE508Sy^5c-aXlK|tTQ5B&%@})L83jm*4RS1sDWOtQLbI+kry}9s6WSB zrA#@tblmJ-rv_6l6!Vo%cP!=(wlW0<S-TCnepPNd9^mwIsB-kRUvc8J86bz^?f6(EZ6{aRkY2UM)M*7;+H8r3`EC z)W|MIyL%j@=&RfK&9@(AcM}q_z$($y8svVh;>#s}TK;hA*Lp zW|OHiPHM<05=%weQY-QQTwP1r16t`Soilw6;qA8$^j>VkM0byCpY(H)T+b7()_yQW zNC!(tAJrCWh#Qe-=cyuGKW{-eh%yF`95C6CY!(hcEOj$Yx>uuX#JK4wp6-RW#kX{C0CFi zl4AeZPp$Wl^7b8FObePJ&w`{L-wxJSU|HORpF!odarz=!Qz)FFq<2<($>>YeYn@Q6W<0YZ6h~nvakiqft6IkHkT@`47UT*o);{Y;SMIqg3K#}F zNVpfs(gOchTbtfGFyb%#F|gxUy*+ZNen0VY7W%`V&6+(X(Sok^@X{JTll|&#*~E?u zUDMlEcPX# zuG3QBMZ+Y5Bj}gh#U?uTxvoyvYgmyy7)w)o*??E zS~ij?;ToS3QV&wWZ1ULYf2=;*Nx)ns1l{ju;*q?mf zw|$QFq(7uhKS+|jkHd$WMk{>B0UBnv*>pCSH&V82ofvz)OvDm60{v$|%G>t3)`l|G z#f1r%WHudGqSBm~hn1gJV$XmN2L0DJTfGa{ar7+nICoQ63wletrh2S+s=sK!T z!M5zz6c`A-lydSTSymYj3!~j_7|0QRPGjr{+i(CrsA=?*k@vtzPjvmFbw2$k<8%D; zm48&{eUN_TT%Aj@#lnxxZPREPT4bh9C2JCQgS*VE1Y;orYIbEiDa4!u_gN~ov{Ozu zy5dka{_|b9k^9t;zb>h@;~)?P6dAR1YtL%qM%cE0Q8D57Uau{cN2(jDjo4ksdsv`*_3QJkB`tUa4Q^PSpy$^ic$K)2y>%b-wL9LA zo3+GXnUj*9^I2p-^=MSVVFAyxB~_%&uOvg)+H~_uN8QawVuA08OH}LnR_~r}IvgCg zxOfZfRgbAe!Vg>}Fq!UmTyd%#9EF_Vcv18%Lt(=>_rHbP@}-|1R-~zUsSWgyCox2# z6^Te^VEbk_u7^vhMdWP~)k%K`-_SU@_TF3tT6J3ZvMnB$QY*=6q)c zDHfGeDvAk?g(fjSWtJGbmslUO_n~K?1y9ZJ=61j&C$l$x-Uq02p*?U`FFEt*1Z-3z zqezX?dzN1mGM}(mrl)?xBL~3f-)NL}l2(+SK?KK93#@rvyn%M{N@YyNrb38`HC;huj z2P+{uOZ`OcuYbOQ!5y0;6K=Z`b5+&Gf&TDbUD#X(D(hjXK6*)G?fgo;9RRdBw( zMXk|(NOx~%Uq46McDTnhM^SU}fY$7t?Now#1c2m@^45B{{0>JdUFfH1SJci9ZS-#5 zJE7urgY8a@d353TZLCQu0?f|nZV;KLe7_#9h7K|wR)oeLyS-b@GSWk>b!kf{B*9|7 zJm0~~!a*6^vGuv+k0zw9b7jAGdkWvQJ@7zN;#c}{)X8*`(`g7;JEb$N3v?mKckV8W zGdkhf5;eFIST+>RgFJr%mn{&^Tg5u6UZ{|u?L+_IBr>fongdnKBd+bY&WZ?e8rdLH zX3d*LbCPNB`c6zHhZSJFIg_aZ7{1|XQVgtdv%tZ1Qb(GEpNKg4SFL1;g|7yFS5h#w zSv=gFd#GbcHemlEq_&wj`@x)J&g!MXsT!!w&L^pEnQT0B71~7Qacr$iC3adyS-xA}V{%o)y6Smj;}{D~kRR4_B-WihmxK^}|Pv$mb_rJbxOU zGlqW*TU7aE!9dh{B#u7AVXvY0WA)e- zFc2=i))O&B7wi%8=)vR`K>}-2Z8eUDKpAWTcrb+CDE0#{l|PicSV21s;nb`XeBRY1 zM`183=i>cs<>2iEP0+Y9lj+R@7wTE}^Ot`|a2am0AhWyC@q#+WM{WufT^VcGar(D~dU zM>*8fP%^Q+9RG{IUXhz`UR}~0TIM>zV8l~0v;rHdi(lZn%;!MGPN*X?oPpRYl+sS( zUOaepS3^e{Q<9paq;T^zCq_=xYhQW`vRS3F@a~G+@1n3hXd@7Vs6=oD)5>_%Ar1Q zB?W<;yc&h|>AdrN9&gqP{Vrc#JDgal3{%Lg)g`^(4DKX{jhZAq>!iONH)&|B?oQ$v zZ!uPhkYU#g5%}@!WOMuY5pyy3iOw1)z~`Csx+u);|+gSX!|sU zMzAL%n%BjbMn7687X7xROsA>y?MIo(oF)-Cm%I&BPX+J=3!}M0F#_7tr$Dna@UM_G zeGC`hM1fyKDVY(9$hdpy?gBHV9$Ou?wqavmmqLG@Q-B4Yj%a2K4b-|d&x*#;0zn`R zgWpVu=s4LCdUt&dsdB5L^>@rq?{T|tv!sxv$}!?z0R_PYxMka}W#@*n0@6SWyqfl8utN0h3;-#dU)J>_UYfWXrFcMEnkUVse65QasR{;vHD>p8>1Nj3Z)D3q*kei|Vh_P=a!P{05tdjewt~(+$-n~luk*Eu zAHFZnAy^D^ld83X9)BEdquGJKzxBM15$1H`Z#VpsG=P*5r&K;~UBzI`x|eF-BBeRo zdr!-lD>mH~Ct-@4ermx>O;)oyobiDWKh&A2h?&uqy;PB1dTWt|QFHcKv~Hoeo*IaP zyj!c#JdJ%d`EA{!4+cN?e#`WHqM%eN1>xYQkwb&x5Qt`bf-yr0XVB(2aLkt%&?%ex zutA5ty)#laqKab&6xdrwr8N}WicGhs7)~^}Nrs(nB6kkXN}+#IlKH+O$5W-fcO((6 z>1#netZzjqCHp!*Q_yTGA!uWfn){)Rz-w8F^jG_^A`YZC%YJ>vas=l<^epmGdcMLr z5Tn`yR|%=|w{WmuaBh@tw70cQemyk*NqFMWtquaGO~Eq;wOMhi`^EXSo#`LAj3CdL z-yJXG*C(E+*rdc%YTyI*l@ML^y`caTaAitYndN}xH0_%g$w1L@u*iAZ;G4TdQ);oYSkIv&;8ew% z6r(&Ru(>pLERa#PoRjb3Y%!Zn?D5lz2wZlj|8??E+x<@$;-AZkQmSK(Q%gJ!DBoa( z9bVpFZobr=%%r0iP(xMJSpuXT0k70ix7^5(5nNy%3flDko%Qgm#M1^GmQIV@snWch@oWB^Ap*o6akS zg2+teK~4Vi5Rd@XqZh!2ed#Z-cWXGLXI^;E<aN9I)KyDE; zilf^tX&fA4h_wzGDoa*IwgDHlM~nT_hw7_uxLVJLPR&ORUiN@yS%MKEglXhwJ(gT- zdkoFKYRKqB;Zc*%-_)iLKQ9d@oALg}pM}OD@=nP`#pOmBKQhye%YVs{O&}nGE#rcc zW1|~buGe(*gyt2TVa&aCskQn~nCm|fdo|P-GkTgS;KszMdcbzmfHSSg1`Fi~@sfHM z6G(@6QQYNz%`<26BTN=gVd76yZSc1v!Tsfn^$duo}(ykui>LovDJ%l4<$`2U< z5d*BF=;YHiD7AknaLCD647kNJtGtIBTMLyBorL6JpWGvkt>b^n3F%;5EPWvQR%pn+ z(~{AblEJAGE%(g(i@oe|=eO<#kv{VNR4`44M00v3&(j}8$#!`&jFw9FCF0vJq8K-& zhk4dKECAGt{Avov&fTK8JCH%TPRAqeS4&9-brSUR-4oba`-X37HZ5!5e3N^H>xq2a z5U%8a|9HCBKK3OEC^Gqb)6=8H%3my@>_ajrLv7{3TI~;eSsgU;+Ggrv7v`Jf;T#~4 zWP;1CNQ9?e+-}X_2D6hvvcKF9)=l6@xZaiE%(~%IJ}g`eRl3j^$6G8C*Y%FaoyAV- z_Q1y*O?9j2Q+mXRk1+P;mI~Kug%IYsH@Jm-D%c-G=sf)L(~T|N4D3u6{?ohTOV{P| zCJc3zrg~TET|(+}BDs+3;bLi|SB?w*17+`f&u}llx8>tJe^L1<&pPuOR0gvW#e>n{ zlq(8NLNTE6v3wl9^9QmU!5o***pQ-q|55I~rghBg`3{*?Y=mu(ba0p_1)9ij+rV@f zowW9J=5BnBjNtKbwp8-#TG)!0b}ApKH9+RW`ps+k(cLcTWWbE8`tAq9yQ1ZkIM=Aq z%V)bsS!E|f4(@wqZGw1I>?_P^H)j9uZ0UA!*Qx+N47n^PcWru^cD7CMKi^S!6P?z6 zi^(vv>qdWSpiLzsjgq7#t7qR6(u6MVoe+u7W(O)jK2Fxr2G38%3xB&2S<1AkoLQ3)*Fr?+I+yH9ET}4zA5|f z{iOX#%$rsVm|O~p>NqMu)t^nr)AjCyO)u-ctG-0<|ALDiTxhGqWV|A`tCsWX-f~xH ziIN&eL8Q&DM9ov2mKA{DQzz3>TU=T!i}sJz$L}^5%@*z8u-PThnCLR83hByzw&7(4 z1G=oQ?u&$e?^IdF6P6rOzAz$lQVX`HAO7}NmPZg20_$#$k;1RE9TLg5rudNr4r!aZ zwy!6|OZcRd2r|4GlW50`I!Aw~_jt@`Lojp@l=!;rEx#i=M?N zNp64c{-yljU0%J`;t$eRq=a*$hk$Oro7laQq-TKj4O(hu6K1Z$9I;b|Mj9d<@xCg2 z%-AaG%okb(fY7-}2X?$}#Yrx62BuqGX}^OvRR;=YdSz1~`q`0md#DpJ@ zy%-w0Sh+LW#qj$Sgc1%5!&Ol-?M`g7o(ZA@bI3fe)2RO@DVrC#LIlb&A8O*G?A*Z> zhQpE<)$UASs3|UT&I>Hr?*$w-F}wN)(Z%gh)&_>Lb}R=G6MkgA{Zq8Sl-Xa^&POzk z*W*8?fNa$TPM7?m$hnvcKiPNS)vzu;dffHRIcPdrHx=Kq;)Yr{+xGdbL`M~YQsUkN zO#r&i5*~#!sa)_5tGfP<9s+`;#)S#a2c6v2k!7~@TLp@#x2aL$2;c>9vm_JWx>m}^ z3V%wrMJmoO>Gvm*Ev8mb2eCr!6Q>vT9UT(*s&IKzViox!^!J1uJYak|Ia@{%iNCeJ zmi7^3#42|Va^&-;N;%VZSsjm;l3WIw=?D+Lg%V^PcHn1db_XSd+*|L0CoZw`ubh1O zP1)mv*@q`t(%hC8E?8FlxgZuco`z@JPj^i%HIGR!=c#@!32E>@j%#w!Hy>f!pSjIe zG!o(%?-|#5vNffrFavPUuJ&bL$7b0{VM^gd8dnQq#^CM^CHg-);Nu-mhg} z1qECUqP0Zy>sOR{VZf{>9NP+Ui54vcCB&3!hK@12+2%~slZuuQ>UP(75GYAp9Y!N%q|1yK!;m7fzw z-J%Z#+``C#Ux>ZoEB~wMmK;-R^{n}CMc}0YM?`1*@D-k?`pN=gr3u5Qhef`D7oKN0 zx;Gd_=pM*x%Ws#?+OX}6jC)xP{S}%L=^b4M$`>qBKlG;2sjj1Fq+EDV)tnbcrH^W0 zPb)g^z#j}3`0vshxWXhU{yn81Lq;n& zOQT_AoC%*yy)@2@=5XOJJ*-^G72M~mRbr{1<1%a|1v9mK7nqP$NT%~poB~B8%O?Lw zaE*sU>}WR?AH~93muvLk#|!Y4?Zc~PjKC=oxF&J%o-lzvB*{((amXg&`900Om6}JoIq7*I6KE$5UJVfTHZdKv zF_uYdP%D>z^c~fL5F;JnDs((Q^ATUJwOVRg@nIQPar<#D!pRAHtm+vg(KY+$Ajq}k zx#r^U*s;#iNOy_QY-Lt240G7mFtTf3lg5HT;w|~*k&6R1{NTaqp{YY>+a))%zS_0N zN#zbMjHrJbH~M&&14w+|rpAJ$&FU0>(IR1cYOMn7x))(cSEA8&I|Gy^h-+5mBWKRY zk03w1(d@BsW(&48=A6Nybb?rH)`y)71MB5_wUQ=n)jlZ^Y(-kdSDq4lmxNX=;R#}% zIExg6v%ZcbR#nLIkThB!V{<)Bj@cBxyD&!I(l`_B*Nq-qbN%z`o^0Fo#8k z*caVGJzv$B*o5Rs*Of|mDtfDxZAr`~(^xGPvAG=g&aD?2qjWkS(as7U+rBW=>DUDd zOF#76GnF(~a&1BxrOps4gq(UbZ(2IJNQpfN9R7+12)L~+@O=L~RyM#t&fl-x9h1$M z?_4IQSZ6zZ3`*WyU03ne!Ygz;_d zg`1l=fxu91jU?)asPD7{<`3=`7kBC-yCP6uLKYCkUZFv^YX-)gWhs<%RXF2SZl0ko z2Qs(%ZjbJgp&zvj4`03-oz4W&%gG=^ig%~5UEuS~dJjwTe9N2tKg8#r3$udA^QN(u z-pBK>Z*$dbz4hn2;r*pKE4$l8Np64w0^ji<(vU6P;KP-STV2Pk@G+Hp3Z42YKPDJAg`F$3H;J`cu>xgi zWXz*YG!$ZfuPh2F?atk;&JE)isKFmextc()N;8n;aV6Qo(AwQM{csXr&B)zeM`?^$ z$pMW(k&?6lxAs(4Yp!v}HEaKT7TyaLPQF&DlvsX)I(DSUDC?PSJrVsZ^H>j=86X65-Q!JVJ`V0#HiRbY3Zrj}C zj`TjVjni+KQj?zphwJAWNcmWgu?c42OC*yljv<)r2##Li-E4Wt1-=*aMJvvB-sAF= z4*OBWcSOgeZH_EGTXv_qfHk=qxE9k4Z?4u<`ZP{_GHYKSN`?uvZuV^tf(m#`4#z7@3gGC>$$cs6*5i5xI-M*_weuX& z8QuItXN9qd!I}@@-M$VP*a@H)@MBZ-y;I%rbdSh*XL<@t+ga_pP4SYgpHi~^_+Es? zHkXUbZ-~$$ni0W!ZL_@4O(CxfL4mf2;N&sFW%cGavC_Pmp5a=Av$J=oztIY|X&h1W zhR%Wx6ofJ#Y_}*(B-U9~gg>1*6`rCY{{o*g|HC1lfn*t_x~r>{LBuve4mMeksPxjW zc_*YiUUwn(f^>U&O|$d=IY9fFgw7|cP_hoqzT?0Nt2Z!)Asj$B5LB}~7W}=e9@VOy z7jW6v<986XZ$g%9%31HTE)W?qVTzc@b#M~?H& zDyhr=2!JAB(C(VefaiOW&&=dp`7+aRiPu*rDOKe{_7f7I{pL1j)|+X!!hn55BItYG zymNBn0sF==g!G?e=YCo<#7Afw=Yy&FLsKeiTOceR7HrQr(_@+R-d9(kRC`2Eh)U-C z_y})$c$KuZ4}Zm#AIzcTagtt4Wu^A+5nICshOxI-wI4@JS)@g+Eh6hXW}R*oE*O?3 zK1~=3s>{&QEgKQPDKXeFI%a#-9%%(JTWQW&kY!OxnRMBvDWlfZhpMjjnzY(OGGWbL z%`%XOpHk=wGzhhfzW;`%YF8wC=He#D5iVf~R%V*VefDXZ5_Ry-By5~0Wl|wJyS*x> zPX89Od|ZWogi8TUg9@%89wglB@+Gk+3?Waa?~|3HrQ>-GOf;NI58j(EK4#%GXAXXh z!jxB)G^>L2*&ib-!GWSzfjU>A^5~E`MPwsEf1X#;0C%inu%11X$8p zQhp2yZ7{71Jb~N$QGBXqQZ$Oax&#u>#GQsL>_*wz^FdKk>ZK`lsK>WIzJYu>5Hbwb zjreJ7WM_zu8N{V42;Jc4IB`X4I<}5c8!SbmQ>L3ut?Fl)t<-69`HpkcZu4A-x9`Co zgi%eq1b0pxA;ZQ*8pv}lo@^fF5-*e`5R-e^`^ekh7e%K$I2tx@u%L~P3t=G6%o%6$ z8!!E;4szDmn({0KOngf5NU0w^2SlMKsLd?OF`C8($CuAU$w=EHQ&l2Ljiw(<9S27P zyU^SzErj2t(P%!q^u(CEf;tB>8dc^Bkg+l3Le^{)0!QTTa;|-w0KuY!vxjgOuT+fx z1q9!MRdRnIy7dNBU)!l9&Qh%{1#RCq5MUCKRYm2L^<`%}5&%w7$2vti!rR*;y!!pp zdX79=R)7oP9imm;;t+PI-@l6QNMW?V`~D)b*&2*QN6h&j*^$yTA<8ICPzIU7Y&)+& zdGtUqn~ue-eTPpO6YPAE5S*>;p#%#tat>s70Va4y6MvncKCy0BVndJ+BzyIXXYJo_H@T_$o2Kf;b(Wbr(C$)jQw1oZfCubVHj` zglzIOVijcoFN<#Ls%SFfODBI5#q#6N-}qLHG>)LP^)I*YZcLn$w)HdXoEwmv8>_7mJz_{r|d= z%Bcwb{!bU@&|C?iDB;+4Cbn(cwr$(CH51#mot)UVZQFVGF7NvRUDcc3bbZ~G@@hmn zko8hETcj<=2a+2yoA^*|p!U0tR@vd63pGmK)m=D^FT-@?tzy65OHhYD=4!hwjK~A) zx_q3HrgdUXY@{-gI2z!Wd~4$rqe+2By2r{8=W;oJ!j07JuEt-Yh6H51u5uX7)WwYk ztb>$`kW;%_iRpAr(!IBmvTx1e=8NY~sZIZ;`h6$aS_u&x@V~%CP##4Cvoo}fIa0x$ z%qp7&E&&DguWQz|hBegTR)z!eS&g5rfedlu>gAVjaK88_Akhv*$R{FP+~VT0DV>Xf zH^pQ|&gzc>791Art)4Som85l?ja$63>uqO1N-5ebMACT;yqL!IEJwr@Bb0uLyft1e zf(Abz{gTu6Vgetbge!91?62~Q@_RS-f*LhHK)psm&#OSkU~yo9q98ZvGVC0^6-KB= z?KOEO)VnA}KTCt-E57Op(i|K@IZuYcr0<8Ezvt-#I+BA<#H1yS%Wv&I*gP$hBaiRD zJX{NH_jCg*RXla@fhurVSS(?kES61|YTU!vuILtFlZFqS2SSP`T|}JC;sGl=^m?3q zL5(B(h_K zezo)FXL=q>Lvhziz1->MbEv)Fu;mgK`|j68nx6)Mv7yIM)FriQw3n~72Vo$aoI=-W zyBuqahAk>5ZI`=t6ZU^Dvj4mQiHgLL5|CD>>`_-F0z*SV;EE47Wkxa;+v^GVt`ob&N1(*~UA5^K59i#wHKV8rP zakk1LnXzp%?7t_*d>1%tso3yhymdO*ED&OCn4FDMo-bQZY$Z$A{<_1FA_Vqp0>n?taA(pQu#@Pv>!WPFrDZ z!3Hv+Sj%v`rJ?z*1s@26Ie+Ydnh<`#uykyh}R%(e!Szq?B$UU+;KJ%q8+rbmy4*s!2lcCe0Q2m`_>zDDd zu8X>~U+&IIHd%Y=Rh4f)l|G`3RfAqC0V&r#0nrv}UHnr|?+cyYpQXs=%li%rl)k1i z7gFRv7v8^Bd1DF!#DgDq&|d|8O3h3Mh7=o%l!t;5(Pv;Fb(DM>mJ@XN!gmRG&s7uhK@OvkLUIM*C5IRKLl2v~U<^A~wKdG_V} zIlouL+B64XMWpPKib^y1JPVqV5x*kdd5lQOnYf2D)|1iPrYUOEPb+?|X zUG2o`ujd`-6)OAaYx^b*UzmUCW+=$W+DH>6@ok_SzmbU585bMtLBQkMUp=m~|c>y57Xplj1GQ68W=8#O{0a;vayr@s0W4rXz$;OhMkr%Ih$WU4~Y-E>aGL z?+YMYaR~Z}ipQw!1p;$|Qi)%$8a?0MiVXc@Rzz7M6?$RRqfl5*_eHby@meYsVnh1* zHdckq|3lq8+ALDXO2_y7JX_tLgf~&|+v~{@0(Q zI_P~jVGLshb4d^-_{}E()dV9;O|reVlav8LtwvYbeDcsa#vG z{!r6$6)4?==-VRT%YV|d@FkI1-z0LckM`KEmFgkLib)H@QJ86-_o|-Gv>Xxfjm{}% ze3v9Adk3Qwg)pW6-3gu1EbK#}$ByN=tBot8n}dbcDF%}-G(M9wb+4--JPnT4ulEE3 z-~9P-FeqT5Lns}U%rONS^!H+OWG!3~k+K%46y}2#x>G5#`hPzQ9;WFFo;~y!Bt2bj zL5hN$h>nfaS)u)a0;&4y8_0B>=2%W*vfECu(%#vP7XhRtbr3*MU0Jt3oe&!fb>0&T z@Dberv-hDeJ`Ag|wmfu7{rmUsLrZWaWZ+4NQ5fY;>im4MW!n`$mXUr(O(bRDks#14 zZjQjzVhfL98lc~TXoluDE5m(B3JY_TL13MZAsoUUny0>f2ZVb6(oEYXIYO|xrH6Np zv@;CJ7zFdTA+>VjoWQ`%uo-hc_L7E<-9->bT~$$RUlKiA`Tll$1D~uo0f0d%LF$MCoea>?$iGh{0~>mPy_jl|yyjWnvS3<)V$U&R_e_#Bcr zNn5pi$n=r>z*GKo@-41WW`x{9@LSau5Z@nq6atW>9W*(_z}GaV=j{&YF7*Qn-I+;_ zu7q})cW_*rMpwU7d$qVzL%t^=)OQbv!({ep$ zCLFdF(?^(s2g_1#YK8lm*a}Vpa%FqVDbLNJ8afBKwiUZ=^bhkqi66~i3SgKzwkvMw#Mzm9^=&{O>SSHrCs*noDB|D8cy8gtVf zSM%O>p1(h`P3~K{bPJ|gRQC-|uT$LO#fM{#B?k!Bj~w^W=YDbA#b;bgvJs^NHo8pg zDLb9d6E8@j#E&h0j@DszSh-m=7<3o3+Ejt+^S;Km*Ap;=d>d~Is8&N0k-#pIsZTs# zGJNB>F6~(9D-N$0#z#b_bnbMtVU4)F)sK7`I)fp1hRFN_?k~YHOoG19Rxt zO=xiyBs;}>-s70u;Y_+S5e|jj5Rh_D)DpXQVL1abM&P}`QKI!(b*fcFLWSPcv0UUC zxhlW(9Z|y{jGhOx00sF)!Sg(l98U}>{m553Naepg{G;7xVp*4~kWU|Wb-deU))SIq zcvrVz+xL1dD@&SqqO8|~wWC5rk;aS;TdQB0T_5diF)mXG8(nsH{qXAC(TU##Pp)es zVdiAlZw+?1)dXeRYvzPSglHNK`%e|Z(fuuke-!)DDTt~o0q{6IW`*BcMf59ssrXOy z1LN2<2zC-@wQJEp1xKX6#|CUEe9r`dPXz4KrD0%K39CL(eOqk%&c+PaZ*XFnqP&N{ zkY!+X5qaN5hJnzn_9<1|_OwVYjvH2En=?AAVpn!oOs}`4-&RkXc9;Y zscQHtJravQ1h786g7t1q10bv7VW6cgii5O8*M1dZ6Dg1c;VS{X4j7xLNOX|Yr?@yQ z`~yxcxfQoXF*b87mQA> zth2f3K^DMfZzZO5rH0B*l?wlUL0f;rY^z7Q74D*nMYZ!;dcSY*wo!MK%KGBioK7cs zrn&!|(JZzUoSOV2EAQecjPH686<($h6l&aF0sa93x=aSp9h8_Js)Un;P03(M#zUKw zc4BJ|r2xw_G7&(ubOj}iV=V;XJML0^R*FuZ%e+7tW(lwQk_to`B7~suN;{OSU;Pc< zK+EYOJ*f7Y4ipvwN|Q}M=urtFhwm;3=OQvf7&{(4 z`X3?FLOK?x*7H_TplDU;tB}wPZS9gi%&a&42J*mk+u*77+`;&!9(cCz^}=%Dhh6T$ z5>8aZAkD!Wvpm7m65~{6aJr<1Hvbmj?QRnC0>0f%+URx9EO6qi93xSdDCMuN^ddbf zo3KNH51_d806)jdX^j=lR402TsOKLu{C41_rO2EB%4$h|YEVaj0JrWl(XvGjtwPYZ z8mcR%(2^EJFT&JeJ{&Xpi(u!hCe;Yi*5r2Y9CFp$#(P(~(k1(zn|D$jA6w0-nt3gM zmHPKTS`utJegAdgUo0cd{0G?}Id%Vo+!pW7ijz3l9Q@*{CXPv-QriQ}#w zItn}7rdDnNyoVS1Z{BPsc@U3wK(^=9B*NvuqHU_W4eRa;KaHXCM!ysRT^xmr8}+*2 zwtLl-*CVyscT?fK_XuAP*=mxL0xz2JQu5i;%A7knU$ae61tLZm_orV>1wI(IT>;%r?WnKjk2&bfPQ=7thKLK7Qs*%coF>kIG-r2O1n zEj1^eX=EdBd9}C4r@;ze6#mT(32&cfZE9$*$u49PE;vtqy;^hB>I@KBgY_;`HQWfe zxDF)zVCjBF4LHb*aBeik__TnFI9_S-UR0?nhB3DO>?+^noH9T_aitkm5SX4?!Ai$S z;|8b=6+@_&z)gCsGcd@D$aP)1pBAy;S)c#&WwL!u;jSGcyxQy94`^@gvt4uNY=t)O zS|-NZap8Nq2x?tgaI#tyI2ohZSSaT`eoRn%w9=%7dO-||sqge41b2@XqTItSoLx?*vuBP8ngKi!<$q@Z?{{uPOh2wsy2vD=V;skNqc29(-q_{`=Sd|F_*a~(EDIJ;>-22M&*{1+$n%I zs4@3h&GtkiqVB!07(HOdo1D6@>vr1f!G{MqzRb|{9^e}^!gwfEDRkAb%C$OsaAeP9gaCs zm34n=)OL-|s$c-(N^Gia{P?hL^^dmz)ws7WfJ?uw8RiRyj4@5|G*va1WJ3AfP!aBV znXqh)8*2$EI{__0+upcvwL4uc8~;eavsyd5{2xkL=q_ht0gzou(CyuyyiF|V8S1Cn2yr3avpGqIqcnaFG& zA`UUWWA}l_y^6a6%ZJ+}qOQuW^QnPJdnc>j>cC`~}-=HbdcR5Im}o(&Ufuz+redq$OQtm!AYaX1CJnS&7_f0st1uRRKPaJmu~yC52rd){); zzXg#g(!~=E2*MO6YOdOQV7^GU!5l^0;80@YYi?o|4GBA`z7K*l*cJ`Jc4i{VfwHua zb5nbIA(FEce}L3dxYS$bfRkgQjS`1c2pJc1xLI!rttvK9#wReUhvLTYzGv_wXS0R! zV_6iRfG;^;E3U!B>b6U+)%H3=r)2p{r?gW;xctRLVmeeBZM+MxY1p9>$cg}LXMTA~ zZ3}-Ru-v`tm-C+*kYyd|U;btzGE*bGHBD!JS}5@u8LIgEZwzc<()Fp)vOZKvs%iJb z>q*Co^V3}P?E+B{B%d2sk9s(|{wRY>Q76;A8;)Ua?Yam#g3nbUrN8lKhz7OL8O%`h z9Xmh9ZCH>QMga^D22;K5@*@ftMGJ^t1m*94oClPdXBJ^Z=0@R5!l z=@_KScCEL4M@jrTY6Z1bUMWSPvs>VXp2x@7Kep&b($6%|G@wf5z8=CNP}VbeATq}d zx3V=U<#6S5ax4d88~gOL?vlbq(b*k}C$|F{h2*=-M&$3S?g97||F*|JqWFy_15o@a z=ULV!yNt6>fQ3}5m2U+Lo2}qtqOh@G;Z2a+!J>wEvC+n#`N*L~s!L?NzyZ<9tz@TB zRLLY9u(kwolbP-6g29fgOIJ*)j_Xh%x>owgEl48~Bocu_1%OSUMqOZhmZXq)Mpp zXR(YE6I@|2^KB8SG_ZE-?_KuM=_q+DAqZ_C+XRSz&9*#9`@35i(Zg5~%SpXMA(8&2 zZQ8x=vE7O`6%Q{sasbWcnfwq?@+(n;lVQJF|38+kO!|- zHDiY`p<3vGW)4v|qp~iqneJD>^e9$u?)d@B)e_!WGSZ6+VPC8ySa-Y~I}vMG;`LdlF+?@yBzARp1p=aaB&#LdG#^1wDVx53^wt zb;3&`x_#+-zcKorxKMFoQ?_1?aQHAzXk%gDDe?0OLF*VzUkxt=8btQvOWjX3miCB} zWyzf$!XlXcGPczD9iRWiLxAqAo)p1z!u>HqiuC4cg3}~Gppy=0r};WhmjJD<&z%9L zpL)h-sxSAhQ+$Br5?AuPB#rvEpzEiBq_|@PFzco1HgS(Nr9*}EhZPKOWV#-)K30)e zNJ3&kP8aEkeKSDw=i^38Xy56auY{b{IeiYHLpVQ5puj$B#VsW&PCz?fghpjAW#gP) z;#|)#fc8~64tU&a+LbgY)N44(`AVs^YCz8Bd6-uSHp56HAF#;#``DP`rHwy*%4S(R z&OaIP@nOeLlM81y{!F}JUn#9#ED%x{v2#!(hoqy2wI`=Li6Hmit-hIG5<9`LXcdV5 zdt zqAj)4{yVYXO4fvMJ0V_>EpadcJK3o4{oo0ta%?xUGcTYS?yHqxAG%>;nkJ+dnuP*W zAdZUdb)%Y(R4}qlCR|QGhWH!K9q3~#6{>d!b zi~0*iL1RM9#|mbKGI0zep{5mTrm(E57VXyypJ+;VBvVQ7yh1W<6pr*7c%F2Cmh{RMYtE2GX{k=pcfk;`>(fM{djzT>w zaJ+-yrj(a5F6d?xMBLD$O!iA6qhOf6mSwScG_26NA`h&4&av}7<}qrMO6_m?237wd;X@M0&Fq`z7fD{)(_ovw! zuuYpid7XTCoCmDFu~WiXZ9JL)9^svBZ}R za$Ooj9=~OHxRmDlv>%Iy`kWs+cNUyiD@Wr~G@7Hx7#c^7krCGuGpYXt-P)S>dLpqi zCC_xVL=?A0!WHrtQI49oRkR+ak4or`mGnotDeZ3LK|+fG-$2eVM9J?KgFY5jYSqGi zJl%nQhou!YDJbcd4F0?D^>loNT$r+qd^%=ewbB@3s_#*d)E<{So@duCG_cm1UbP?K zo?Y3+LTi-<9`97RC(cSO2+kVx*Xy$MEd^phPcT{9#L~o?9EKK~QM~AhQ%H)GFy7in zI~-O_8}JRS7hf5DY>l2gN8gZB^2J~BV~uC9&!rTcf`g4Ky#(oo2!_-kg`wR-`SmLZ zUf0nPlVvxG)>~5IywY@Mk8u{1*B%HH|GR#I(%+V}1dAlv^-Ig~FlV-R>)^m>Kvdjh z&nS@9gl{VmyX}SG-daMnMqqDrPov#GWg33S3wSchSCwm6A1&ylXAnqB8$SYFaz?DF z2*8QIJ@~z4isPE*RT8uc>I${yHiL5Z6bUp4B?N#V(?Gk;&P9tcNok#dPa-O{*StU6 ztj0S*Hi0Iw{R~2z-*K5W2BYnHoCTtvyJQz<@fDp=l*t7D?_n|3m^4=C+XO3CTO{76 z(e%YGK2Y+uBxN4hWQ_Vmyp)}X3GSw&IlN*_CANSx7cm1MCmv|DkUNkw!nBJ8hp-Oh zV;sGdOw*cse19zN+3<;gU2w9w!SCgCwO;_l>S6?goRsNmMjWVAcufdrc$&ce{a8>o z67X**L~Gg!n|rx6j+ys?qQIQv#vbq0V+4>LVeN7w1yvLjzQ3^oB9T+#`ik3z`xJ0`(qzr-taK!8y?!qp4y2e7>oVs`w57pw;(-KSlaaek_Yb4C z`dFK^d4gJXCyf95fZqt}MQ@HO!4!?HOVJ&kS1^u-oLaK#v9*=&@p>r1FP51gKNX(Z ztiM9xTV+4GCf57RT&5JG*+qkX?aSn+9!fTwS4ngg5O7W3BSJdrN?k7eL7WxCrYQ{5 zf4)lT2)qb3C=}=1;+SmO95u0n7`SE^I^%Y(P-BdZYaF^@F+F5&4=EV3LSS9StA%GJ zi(_!Fy6yyy)i<=zY|^N?c~SnOm>un#GR}y-FZ%%&*tVLv_V6hKNf1Uz(_p^j0n%cw zeg(>X^c_CDHg!v?;n&Z6-HYIJ*NO9XVuCEeoDf!7EZ%B3|%$h9&Dn-RI#gAF6vxN_?al17suyDZ>8&F{?$hucnGmnF-MPQ52!6y1|`WK`%OcDA&?Y^>Z? z%^EWABlg4cr2nFydPJWGH&v>*V^{fylQ7-wUCr7ke)P)|2FMayiM7WV<=^pnODFC6 z5J}V%DW+8egp%bD*d3QLrTJ8D>s(qw5172olC3?Tc<&nDwF%d0zZHS7AX@@=Zv!d{ zUUx2As2caUDmL$HU~b7MlDsvI`rWH`o8Cm!d52=4TfcNAz!93sjPqNPC&W`Pd=^5;tLcM*nW8mY6P1^v?c>@}wtxXun$XDm2lQy842FhCO9c(&amJ8R= zCb5B}me(8=ZREbahV@_pw{new2H6pB3{!a#tBp)1hgFpI=ckm*nRL|1S*?yb+uoOr z#6XplgMXGPj(rY1JEpE_g(iFG%&P`gK0MR%sgVd<&8y{@KN&XvT3k3UtQ*jRvM>W< zn`sEx`l5^ZZQ1{DO(O z25;MzIuT)7QItnTd`h~R>GDrHuH_ESig*yxqvOO97SqceJQe>Bm$NeVJlua1DLHfF572I!$J)6U}aZQ_f67#+;3hsgGpA-0EL zC{(b?IVZr)sb)?YbD!dW=GFR;1v<#;3fw)lcbG!K1&X>G>c~7_JP_B_gNzG2S?$;m ze@nmkaN9+UwwM!-(xKgd$l)v;T~OO^e6i^g2spItY9ADCska=g&?(qiYJy!3C76KS z227zU^J%}{&y$AI?HInMJ5F-_`-Bd>+8e96=-P^}ju+N{qq;+x<%}it00D@!Y{bh$jyD@N{$T==Zii*H*%2A8%Dr~j`CeSz!kbQT_ zrhq5EaxSVlh?Ea1oobLh;Hf_vj2jpOF2S}PJnsmae6qT-JbM-Aw*VP9ynu>1YYV^ z{IFn~MaM^f3GI9XsRvc=_<5WLpC$OaQDAI>V`MBt7PH!_myL0e2X+MhCEggxTp$n_ zh3FxK#@exMeo(=FerG!2m#lS2G#~|K(&5-pa!3QQw!rdZL=(uMR^!FpdntR{Q_-N0GA?!pHI>Heq_`=_Pc1W)qmXip|1Eq~8J=E>B*cjp7}GKIDbzjiX*r zAWwaw^6~c@#GY<`Bx)LfHlIvdYnM{2?B%M=c$KMV!tSaS3L-xCs-rNa_KUb&UBWJm zzsWQ|PFE+&#gZi$o48Kx-Lch3VYbbj636MUp8C9Vyf@2;;gPv01wQ1_5Nx^#aJR|6 z{Y82{HrB{978>aZ$CFRIiwqrisxa|=re}_om~S5XQeVK2v4Hp?KyOvsrr?>8Zp=i( zdeR+w{-?buicNAr;@KdXhDDlCJd)0v`@CzgzkFBS9m#6~$HgZ&Dhas>YbU0qcNrcI zO!@>W#HJ^K<6~(fF2SIOx0c&%@nG&)NmuHr587`I%B^ZEAf0$@iku3^*IdeKDb(NhCuITq!^_+CrLys$F9;l{U58t1}PV5ZZm~ z=2J}^SifLL-A%TqsP=2=I)EJ~9|hi?m3onK zDCj`99O`B}BFXS03x^}m^oQw4re(60XV^t!>u8hmQSMp&A5+=|VTVyyQ+>5#)VpSB z$=hve^+OK@k-Mp?Ldb~xT&1s37}nn_VrgZYj|!v~m5JyB1v2RYDjVMyO|Cgo85ze))rOhRj}9~9r3=(UT# zQ+|q2be<%})kDWssEl&_YNT)EST(3EB@+)+gd~ii^A4**_!l8#PqZx{PxpZ$;hoSuFiXo6GYWS>O7n)LCUMgu6q7;TES zk3%bwC$^E{V_yLum$fStRtSp$ql9^T8}lnI(#ICemVlOF0a$3%4{w=oDRVG{X?n1Z za+T?;IjeRIW#}u?0y^jMt$gY-K0dJAwM5p>61Ah4ME?Eo&-3E?ePx?R=*NP4_oFe_ z0nX@1#2XfhP7KQBTGbALlal>OLu5m5f4>FS?IO#7B6Z@AYG!+tk^%mhYwz8>!xWbD znY=fn3JU2T*3w(Bx|wt3oL-5VD1Z}9SFK%+e+7>H{@O|Dl4W?FRL2*FC%tOsfkQk* z9s)edX!h3ir`W2o0pW21f>f*j`sI2STqZPLNV;R{+Uz@!!7(%-kmJAYMQ>*xDuIvfrP3#OYD!d;( zK7nR7v%r9sW%#qT+idugQmKd%-Wmn60>>-3gcVRV#3(`k#{4da3vl<8zto?LB!RdU zZI?7CWYUhmJVTE^8`vyz_W#U=kk7m;P8#dl_4bh8L1TcOr`Vgwqgfa*j-#Iwp6{&Z zJc|A{y8b@o;5Wt?kDnsuk$c6y5&?Y1zv^k1O@_aNV~Mr!{Rd@xZQz7 zOYy%bAUj@aNDJ^K_d^rnB9+oGYIX^S4Aj}{7t_I)xynJ2NeE*=|P z7Qj`4#K&?u@Z}85%*oZ@GyTa|p)pOYNEQzJ*$wD+xw03g{l*9XO{PF!e%rUJ(Q_4S z=>oc{-JpI>C|L0h!i<|BCD>CdUuQ)g`N}@RN=>bmHEZI|NZo`@sOYRy0gjzqfwhPX z4?_W7HnE@@!tVtH&t*x_+GPRP5D>p9{mZ~Xw17~u7q-tQu8cBm?nt;jV8DPup7L!4 zzG+ahX`5fZYO5-I(BH>A`;HW558D|}8>gBer8TS{-tA)x4g(ivXVbLulcq|yYo_8w zit8I-f~rOKh;yREG7l$k^38~};CGV56Ao4nZ;fm7fwS07Smi8G86a2sRq;d1-GEP; zHqIgw6@8eT*M{h}jhSh-hZo1^!7;b6gF*{ZGFqBqaB5Sm>2g9vQaZHF?t=uuzTmY%Xu@j(R<=+atZwgpjegT}O@p{%q z(&rG>>lXt+{USD*vWoxI5C|h1Pmd#p3;3Z)Cx1VpO=9Aeu`K@xSCP?qh00$p%^Rr{$s@ns*QQ2=e^ zei$q-$!zbetj?5^upo@b?Cj6%7`Ob#(M;(c-2qTgCY-X8{~e%lwBw#@n<{)0gfK7x zNM#-x_6fGHE$`vD$GDIKWevM6V+fpu1Gb-_9rt~%cA&G5F4GjHi^>d1=ia6%#w7BoeFJJ>Opus>hWi7aQ@Bd9|BeVA!$KncLmEg zqVvqO3aU;Djm&)8>iXfQ11YWA%LpkPqE4uCs*xI62-%$`Q3=E%eblLiVf#n) z0%>Hf2Ln(mll?GrTDc6b{f|aUJENuh98;TZrD`2HE*cJD)alR%Iikv~Oip~b2ZG~o zcXlqwb>7tn8Z1C>uOpc7zKEEtLe>2*71?&E)EzAq9?o?eO7?=&G78qfKsFs=XG?Xr z?I1Bw4~XLN0Yzl&21n}gV@`Ajuc@mS45FDe=t+@=Q2Fj;A~~Ub(Q*K5mzUr%n^)zi zIv2uutbvj*q+>{l?4~wsgZqW?M*vbT@bqCq)7#oqJ$ljOHZU#84J%N%3JgJd5GRMG}$YH`4_}bIo zqL*eUHMxdKngss zDm35Kp!cS>c)<@Xeb08yZ`=(ua%!18xXhh>NyF?nqM|Mm!-33}Gm+|)vdH|tzXoat zJwl~|N#bE6R!23yoYWcXYO{NKFR1~{(8l6Y3TBR24$W4Fj&ajJ#M7dQou+Q_Zz_pX zug3AbEj{Rk5RVLof71i={^r;)e>sLpeL*YB`BZe|qb;qeNV=Gz#)JOhE!eTCu_rkk z#@h#C4&K&)v}1g-<86BUP%G2l3L(NG=d1!yX({SGA7HXTylUUHi~w+P?Da8a1rs5v zGw&=D`$yJ89c5HC)Z?XD?|whx5N~qqD#ihMeB7mZ9D1t=(@Laii+1Z6wYR&Ty3IiV zXeiDzsr36L8b>ZOtEJXdyoGxCBh}hkc7y(VThvpwJ4|A>43W(FH}%GNQ9VU&X7k;1 zW+UAj4)Pim8^0*mPn!AsB%Z5b!lI{{eZAPrUr*_G#*cRLVCLS{jp^b2I8Aw$t@J5i zroUvoHl?L#fb~&4CIr5Z!$VSiOe7vpfhPK+ z@)IuZ^^_>|7uJDwV#JAYQUYeIU&ZbWOOHI3?TzfaYZQ>NTepxGw{LFL9s;G_Y8O%! zZ^`PLM|nNMoiE7xJank~?pFAlm@7#7xTZFW=N+atO~8Mozaq1xa(Bo$S@p4PdKOqU z;B8!Wd-t%R|J@3=hQ{2vt`4L$_PhE@;>I*LTYXrV-NU-o=oXf;#W=nG_EitdFr$6s zP*y|Nip7)lH=oQ2a{f_ITeIfo`Ge<~E(h2so$vd=kL~K+TqLw}ra4cF*JAifFsB3I zJd$T6b|w6<$(wP1RzvJ(KZ&}spv$^$q?xNmw_uTrbx9C29@R~7Xy_W^a>3E=lBqyn zR>t95_A>E2RF&;xqT`6JYGB&7*T2Cc>uhqnl?$iD(~cHRqT{Do7hTPfsNm;c33hV& zZTFrhd*YnMFJYXy`2T(NueAldTz47qc_3zulohXms{@9uO>6jWp#sM{GMqC9Jl?SVTaMS`9_x|hP=|ecTMw?+c#~WN61YT=0%Yjh zMp&b)Ic;^;wzzkXMP<-5?UJgxcCPfLA5=XB(1r$pjLy!^gK@wjxVXGo zHMBGWfYh!iGFDpJ9e>GRM!*b@U-=n*d30)MZ-9|KaQ1@Q;9}f)yl3{|zt&@A=a9a)=N89*nsG68RN0@nWR0ZfChJK+B1 zf!*oL{6(GrsCGzhfEd6!IDutq{yPD9WddXVDlP!x1bSGq>PdNMd;JWP40jJ0eA)ePMH9JW@>bCZKHYq&VR6{=Qc0& z7^^Yulze7^<02|+ApJVacy~jk8bbjD}RFqpiY3B zS?f3x95re}B7Ye=xKMR@T)9 zHgE0#zrDr){^>D|y!&@~fa8F_nk;p0fAr|a+|=50fAr;lEvq2E*tHSCwHyAIC4!^= z+C(Y6QyC0iBIEdwxICb$0e(E^Vz%;J+s?`m~_)%*>2G z|8cw)CznTm@qyO=YJoPhf5^Z4RDPg&iZhy$DmsX6{tP>RrxY&k5CWEYaQ}?H@Jq+J zGk)ra_zguwaCiWApQmwj0KC-LPW#;N=n3rL$nyV$C;dT|8enQrOqIc&UL^;&a(~D9g6?roK%%h8t@nYdhxqRtv}Id40mWC(mo?LJB>z&Wd-O zFQy-U1j0@oTF|G`n#fV#y94^eW4h`QT$78ElV2GU77Ab(k93$fzpNDPzN+EClSdD3 zOPZntFR)P#T*#}Lr&owu`7^Z(`A6Hq#Yyy+T1Gjh=~B!XT0V=Kouf*U$G|5C8WRr+ z^RUPN0sCxjb7(l}8QbioFejNLlqWvvCSQObM`M>0XMAQ<7spLkQ3wZVN{g5Ec+QZ; z>Z2V2*v6s_-74wc4AtiPM2QvnwM6U)S7tO>?@agvmn^Nd4GfS9HI%)}Btea%zr62` zWuVQkH8d83cWBCyxs7^BV6I+%;;SH{^`0Y^8$1u|Pnq(rACC3BYpyGsMFC^U_-vr= zg2*tz7YFd)eaa1ZiU@Vm_gR^H{dB=$h_VH0Q7=>-2X_+2A==;SIF4i%Jwr>+og_}3 z={*&7?P9TFO8zCqgOR$7WhY4RmZ54l8xIEaYCQ^QJ-4Nf3F~uvH<`g+L5B0%wzkD2 zI(DR1xtc4=_I*sm|8*jTOffvb$Tes%k&AmveiH`LK-CyQvhx=jcau(H#}r3z59)Ds=sl8#t8Kw39o=G$?9ahB7cY_MtI4`bW+-V+#-g^ghk zDU=f0T9mNgmE<|WzdX*Px6JmdLcm7NIdWdHhzH!X-({j`=(g~C?)U*L{mn=AN?Uy7 z;p(^B&Qe0&@i!`uP^j^ctY^4-A)87f8@(IuGEbgosPWpRYkIA@)NeaAe`JU1q24+6 z1P>mh&a|9z{|YfoWFe+VB1du8a<`lL@xRiTg@Zc@-PQ*p9C=s~4=ztRslAC<`}hfF zd7X{1_Sg&Ydx@y5VaV$`;ZA*bN#2Tf^1^E3_p2CwyBjR^<6g5j1Gkn^3AQ?S`jj z*CbWovaq<%eYPPY8|ATUafqaimxjO6{TkM-4uRr&&{11{E z)qKhCj{6aL6mE4yRK56IlIsz0`T1ZS8qD%IgU-lZB{W=9OxUI8hf}6(i4Z2yUI23h z#Zw0D4h#K6=rZUWufMj$6&%Y=uAMKmL7AW5g*oIeICWX}2G~b%QKk?s#!s%&0gMRw z=NncZ;H3;IN-XoGj$Otm4w+r~8KtS0NW#7wR()O2P(mMnm*lJtWaP8$o%qUdDJW=1 zVY#{$54ilF<}$Ao?v%bMz|Uq9455$*P@GZ;>m+MQ|&%+hdeWF%>}^CwZx0wE!aVzaBuY`ah`uSdY@=RlIdW z$zz{IFP9jBv#y8gD8mqa9~&5Q`1$2MuehceTTX7DRck(vEPIjL8lE#Q_$vwf>-m_J z6+oGv787*vh_KtLikN0u9lRbk6^Z+i(;7GF&lLdZ7|uEG!*=9(|CL_`q=fc`h`pQf zNM#<&8$e2WqQ*_1yuGYEZYV1-q#?8m)P2~CZ ziEg(MF}iXHtzN!(D=SCl4k~eoaN>EBqaa483qt1)Y&|0@Rb9As<%V@NW>*@@o&BO$ zG4P{;8~JtQtEhNh&;ceKCp__#G?>V1-myy(dWbA{f1 z=WV(J`P;!~MUKB)03XxIx&w3OKB3K}Y~Opyx(}$AXWZfMW7O1=!M4ll;3!*K#{Ske zPpmIrvC$Rd!29WbK7Ublk(POU4<6Z3M|9)p$F(jcr~hLH2myfX9;6QWssVNoNMd?F zod9~!tJw5bs3pPAYSwn(Lg6vNZcmd8sM5Kw1Q?~p8?h8B8g5y_IOIyMdj>?Z3>xP> z%V+-_60f&=9SsG}Q|vOT*DF@1)QWPY9Eecr%@V|0MRq;MF`3KaBCtC^PL!Ksg^_8?;&9H{~c^U>HMzZnG*srBpI1X+dH9`}b6=rIFk2 zCiQgdBRkV@ppx&LYlao~Nt_#;F}sdX3Dpf`4LAe`UBXtKj19A@8#lb?xI>FX_th?K{5Lj^=i zw6u{1Z+ziDxUdQe9{=3hEL$JXH&pTCy zv1qicV3}lkYe37<$*RPgS3qNqa^e)fwW-H|sHa~(LAvH65(q=3@;S>f>42&(q{0DI zqmGOILOLm-#DAu8>4Ys!Bty8a@S>nq7KT*FB+}b^pJ9l*uHZmF5>(2lNjJ&V4HAdY zpFtULvK2tt?;206@)RsKdI|XB04}CWpjLx4*aPbv6^(^6Ij}J98TTzJg}ZgP#2 zV8y2f*&8Hu4Mi+G;7U95Rz@%}OPSFvD?txP*)Go}rtFf4&_Mp>;_-eY42|;eo74;X zAoKZkLzm1jso0^^HC=CIH0!>uh!k4*MjO&(b&dqPpdm_;7_!@ynpP>Rz8C>zq z;rOR4BKSO!gM8`Um4vL)YZtv&lOle-|MqGMB&^FM3dcgvXK((sc&OV|_TJ#k4}uE$ zG->||>jWBqeqz2Fy@Luf&CfPLk?%gR8GhAk7)xx;iP)wY9J5!{ZD8(FnbwEX z-l>qo_Qs>>|;N%L#Vw+HpleVBEP?-x}<6llsx zx+@azlZa5gG|RdZH?2Fj?r`}ULsu0_{f)BZ*`03D+KdP!2tsGCpMzLBdXp$pQ<7! zqrL+(7^YDVgT;YMX7zS~yZguRL(rbi*Q={@-k9i8{;P+)n_peK;%H;aSMiAsg^1c91|spd+lNBKi3Mn{VgoR2b-mS?9gK5y>AC_8F?CHzG4 z(Mxe>dNQKPX;N*3uzZ1vF4l1q@+_|o;dy+4&PF6GkZx?%FOH=G14ex^)($e&RDj|y zLwenG{fiX`DUEaemAi4?rfPhQg1o(EQqAl#3kASeGh$e{O^zq| zKi<^=z4x@Am$pmisICT0NRnOdRp6pNZw0Tr@vrQ6AtE#4Q5Izd^C8;H>rN6=ntO>o zKgnxuD48es>?yX&>fsnTapvB11ntc+V76Liw3cIL>f>=v%jLQ=2b91y*fr(XlD<>n z)YS>+$1?((4t0E*v%TahY!VDwx79k;%NUaROrc~LO*vzyUy{Az0S-x8y7c@NQu+8i z(6kR5W=jXf?-;eBtmV0zhPrefPCFm=fa$ELYb723T4Z9#+}rNv*Jbk;hm@r3;ZBX3 z4h8VSrJfZ58&RuA!;Ei1>d{fV>pir7bUWGEKO*}0FHrK~f%l7_?Am`iAGM|?$6l$S zxVNvoBLqW{^YhKHp^y7cIUOeJ;*nX$uQmT%*MmVDvB zn_Rs|Jm%H8#w+q2d*$(J?xg%XVgD!x!#ntiA!LrM0lmFpnTrnZK@57@Bgl1O5%EqOpZ{@;5QxYe0wQ_=r)m+}U1jiP7n8+^@9kID3j<%jD5_8d zC_Y1>n-I9k9Ozn6Hm|I#^{jBX!x#Lg*F2jkcymS#CXOHVHQ<3O4QFHx1Fc3t)SJI< zkVKm`Cdtj!QJl{(PartMmLQi>E?*}t;EYEM&V#V%u0N47WPcjVDw*&|6V+oY`x?H2 z+Vi~Xd2pEMY1nf|tP_a*P44hxR+8_;U$!>YXB~+96L(OsrDE7TIYp3+)C3ByPvi?A zz@WyMc4)aCtFnVar23e}t#!dvh$2)N3M-qMkX8?dRJ`6%EM4}>)(RdX<1w5feqI6B zW3Yge*`?dui%Pny!uUr!DS1*IhRHxqRIA2^y8W6DhgXOX z!iNb5Dt0OIxbWt`sEgoLP7Mmw*D%>hY5r)p;{S*kyP9#%%C6%R%^~3IWBBza}j&DVD>Lp@>%Pdj(0)w)~)-rsV=L+9I6W)8kbJmp%QIR#$pH^jFS<@FQ-M4M78M|28I! zq=(Onyn4vZag&ug&goX3;zW8e1&YL>cD_0=X3?@M6@5j5FK}gV&mXc+8og$HE&Pu| z=x9~xz)VlQ<~fE(_9B0t&-EgNt4xFc*yzg#Q$bfwb1qA>0f5&}TC!i3i5UrMExSsT2@kq`*JXyqmeVq&;GK_nd z*;HTnTkQiJ2~^J2Ll87a`A83zn!JYCm7`+qo;u=>=i{t43s3mJ1hT@y;spT7Q=+_V zVyi>6S*j$^)C0AMPRn^s$5!*@B=LA%VJ)VW`@mD429+ft>D(u-Ud-}73A2Jf%7#uh zX(_K~hJ8Z9i%E0(xnza5mPGH)$i^bU15+vkN^TzAwq7X{iC{qA6kIYBjn&Iu}la+L`uF;Jn7J z@wCZFu%@>Ubtx~#9O49SWn-w)@Zt$0>jHeU*tz)W`H>sxAa@*U zV~%-5kQlqZ^cz$~^d6c~1v)v`?-O*OAZwm8o%tsGURgJrvt$6%&jNC2+{K@O>( zgKKcJ62Jo)35u17X(ppnP4^;+QZ2R= zs9N$mMQZs;!MkBGyzFoP2%1zvR;6DE+2@4tXP2z9J_Sf@QH1i8FrKob&Wk z)T3XEREku@`(oh^`uwe=v&V)b**JSp7_yx_Ds`bccd1wge~DHOZAyZcaacg7)AfEZ zQ&45~U>emn@&((8#PjpzaO7xT;*oz0(YKM7sf>!#ZZP?Nc90@=)Getwojr;1iph9g zTdj`^9{`#WAtCGM_J(6GZTJ!QivonRm0v4HlG~kPKc-p3l-*bQ*u@;s0dedrS5F&v zD3|i^Ss8kF?evY4_Cun1Rl3A7ne;fDny|TKE@xQ^J zSl>(YreiR#o=RB%YjP3#ZkziVD`eXb-_HO^s+1H|p-X@R7 zgGUPBwzsu$o#h zgRyx0aW!7{-xf5!fx9 zc;Lhc#{a2=dd+)B=4h_8S7k|ztxPTF(K|pEGxK$RWk>FFA*FZKIMHrS$ZQEj{P+ zd92K@Bz9sPzL}P_g*fEZ3UTBTzZmj?O&t1GLNYIKc@810-pcy(=?ol@RVe<6BkEv$ zoB|#bbc0C+Pf_u3Gx5OxHuGk2FS~gC%Zw{UzoPg2Db;UZKK8(Sp% zGBh|~@KD5WT#|JDssxq(ccWrnbX*B9urzwdlG5!P+5|S3AX;GW*}J7N5kKb^i+XG$ zt5P&i7Kbz=Zapt0<0wHlNrg6s^$t8&Tqs4aS2qppebgvyV0tvkEsO9F1XV$ zLAGQ?!Lng6y^(Drm43Q-84C1WFiNAc=8eo7GAFh3^!8SHX2O5cW)!kch}%z~EDtH- z9FI9y1g%*tvL}8)mp(dc? zTogN?LB_#fs+DZv>3y82O1G1h;R&|8cgPbl^iCdCfAgE}oMLw)6NEpmv%8NG85@A8 zaz4r4tKK7T=XL$GxxfvR16r1k!N}g5o?@d4XvIj|%$dLSMc7lT)S zBeF~0JGB~+np`#_Pw@uvo0}(|F4h0y<269u!F{^m0i{#U^E#k~9e{eYuZ=W5H(viW zESORASmN#e(MDO7L4d*)C(bnr^ueQ z8_~di51PK?E4Hcz>Z*wbfxjE0I_;TGQ|dSMH*P9Bxb>eXu6oo_6mxemID3C*Nh3|vj6u!MsH9|)L>2^bL|{Ia9>yf5?=V#M_abazz=WFMY5 zQfh)d9IJL0U#lBY5LPFPi-2+)%ao?4thL zEn+6M?*uF?wrnPwqw<*OfGhtmQfVbJZMB9_s~S-R!*Og5d_gMbSdEVVaXlrEY|^oq ziM#*;^StjTr%A4!uv>V${7&!l=N98wt?r`s@!*RB-$=-p)eF}onpEx%sC^&sgNuCP zCt!TrwY!w$$I{hNf~`#Ni5HW7LniB`LnE}5y}qFu%zDyV1|np}T%>fxr_8{ZT~hD* zY~!}>V7hW~1Ky7*VfNLh!3jw3Cc7hJ1Ob|;@uota_rFkU2F4>sjUaWPL0f}e^)*8@ zbraF0HnD=bv(kbhwGsR02lfRiU7drJ#^P`eiS-F}-$ct4o6-8&t<<3dsrmXX^VHX-Q@Em>S0=^~fSZJ$e& zX8v*<-W*fAOb%Ciq!1-}kd%an9E_*)tkd zQzuH`3P49>=+A#E%w2t-EFd*?-u9gMeUbMq@z2H5u80KxF1wa;j0DIi@2v7nCbC{(?4vQNYW4c;Qs3=JUS z**$>Sb#+3{9)nb#QLC4$Oc%iIb+1{uya&J^v2rY^wrk|cIh{3)%WQskQF4BA%I-sZ zWf&P>Ti3NS@E8_e1F&MgoJ4H}wXb8rTD#)ym|IuQQ7Y96abdf(t=6(?5`>HzD=(0^ z%VS&knl-H(U|Co&`!yILFdN0OjRwh1j*SHGO1!>HMG$=v~`v7DWwH ze}kk5H|%tY;P>!8@@%YWkzrjj-5Cr1>){qM4XNn7Nn|7gr(c3|FLki>pGLXk~ya z9KjgFmx#tQN+hm-lhEacXtQ509r}AN!(6B=D6cst?r{4?Qr}GBm!Lm8V8XvMOx*Y^ z%Qhv2?S)70*+G1NGA`r}FC*tzQ5`JQLn3tsx6}NsS|ZojwqXW#Ip0@G*T}P8U!CZM zVJlyZXV&_ZFLlgIF2K%I1Ruy4Itw5qu z*_x}w^|aj#Cj+gzOTkzE`$H(`R=Tk<;w}-bAqz0Km>{%IeRg)lRYq_|IVn$DHpx(V z36d8j4c#?)QPy*C_+Q?KN;M-2$-;N+JT?83EIhzmTM360y)m=;^&WTuHFnX{}-9|8-_MIwLpv351rr_n=yjwumW4lbiQX@gcBw+*Et9y{#Lq&@R z(ng69KZ7af4nY_=o@n+|moM_j3fWC#Tc+s*lTW|pAN%4Ag(VQl8Do4-;%wc1Vo0-L zE=dYCdZ2^%xB!!U2#~yL+QsiD0E<${* zoF%sEL;0gb-WS&h$3O;;*#+(I&>Jk1P(8JW0nvH)x4r3yTXGc5RTYa?`)NJ!=o=J_YpZX4oHSKUwSuhxcb6EmO?}*f=|9yO1v0TY$L{d zt4I4ltHOQh>@EJ8;pHMSmKgVaFJxe)<(+68LD4^kd|HNX=rh~TAJt9SmW8oFaMBZ6 z=YF4HK^Lf?59&0l!Qidk#A>3P(^XN@E$A<#IU7I6Y7k_D*=$ADZF?Hi;(W$Nmbegl z!qOvK(*iM9$n^5U$Rhdvo1_~&tS(sGu}WK>%m=B)1*JLVBW}OsmUU-Fp|p1)ar)Sz z`52Bv-&r2eM4j0CX^NLfgI(NjswEfCMH*FC>`2J7oF<5YK}h8|1+uA z`Y%B5$wXsS>WNNdcV2$hxo8OmZ^6QFyD;U(9Lsi#bc@wA3}rN#9I{^e3$J^p`7%F% zKxk(r$IT{<5uT@X^3`5w;H+XXK=+E&vV!gk#w*Bn z*%}WEV}w3M+>$!w@nk|NS(1LW$Uc|7SBxKG&z2qrCQSf5>n2ioPaG4 zX*0R=5RHa(|F@z69v;bG@n|t0-UB(o++e2p;cF?-Tu+UjzFrFAt5W*tEH>E_i;k zefx{7t*Lmo>m*I}RhBOCLdPmKm7-|GfiP1q8(^6R=n~)n^?Da8t^K-ilB#!YRPWci zh~0A?%7n)8r!yZi>J4D_8CIA&Z?h5Wy(P?y1Akq>LiW<4HRXAQ%v`S9ubx4L@6!)B z8Nz|wKWa*(l{XP{CV)ftaGSz6l({+GD*}Oq)wgmxXmuZHdy->CS;z+y$BO@2g19K70+W=Ozfjy>xDVVT-ZCD2$6dr@ zTKOl2_+uekM;lTw;!_p#siGMB&g9x_olhS0;Il`IKjsIh#G31^xx-kB9X&8rY6^orfx~#{91=$8l_iI!+irV>k+8NY1uBww7tZ`S%t)o> zbl>er50{_}trDjd%x06B&VOgM;pDgo5p%q@dUFLH8CnaTT$=*nFhZUjiorVmLN+hD zuyc$8$?t-8WH9YMqvX}eWeP>M@!HDN>g2viJtT1&eTP_hS+|RHe>f(!aHwCpW->dl z?0-?jjVQZ~sd9$oY&Uatw}aPcotww^Y+T+EWG~=t0glpdC-Mq_&oqL{fi2Gg-D%Qy zfDiUcaFxpU5Vs6NsVP_(c=+&0gpxXVMd=6)r$IY5`3P5R*?%s-+bqo2pxSK)7wPW9 zRc7V0yV=?QJc#{Cr6#RZrmZCuqTFs)yu3i2%-w6_Zu-;3`Sz<zjV}_UL-dR0Umr4`>xNlHbTCyIHZQPZUnv3gx&$$z9NJ$nVn*QvxYV zjz6m{TX69oqR`9XbSt{B8>8)>4T&IX=fBjE&Jc`B6A_k~DOBE0>{BQlbm+Cvuy5!M z|51Ou;-6*VsZ21jpJ3+*h;C^@tXHdn6wU2*jMs#Q${PD+AV;B3LLAytyE7d@ZvFg+ z{h7L{d9Yf>od;UaIjH=1{Jc#zAD}laH;y!{t>51fVwj%t9?kv)iu5w=--sP5HB1N9Ugv%{8A*hW%~%2IM>BN6sQto!-<<=LX-0gJ|INdtz+Gob&68dC$7HukhZW%VWttCisA#AEmYb13oz ziVWOzV;eE!JeM46a&CUMZ-f_p8`b-wmVymNio8D9e3|mwOAlXIMKyN#8562Y-|$dRI5DVn%83B2(h z8(A1i4V}I}dAPn-spy7KznucMmxlZv_4``n3B@8OJJ$KnIts5LjyY_puL{|p{5_D8 zk8VWUT0V*V)h^`ll)=~AV&3R8J5bg04?)4_IV8edU*fa183A?jL0sD&? z%d6>&wYy`PnN$?*)u6gT7>5316MO?#Rk zXT5z940viwX0I}~Wl9uGJg~d?9?2Fz?WC;dgH? zR!=|T!~b50VFo5^R7)DVd{4G#fByaG<$_Xsz3yT-sHcZzCK;(wPj7Tb{Gz}v~Tn=I+=0tmj2TjbJN0V zFJHf9Vh&L5X5GAroMVwx4Qa~w8;r70ytU4kh~JkmaldtOw+2memxXbDq|>}N77^yS z-*9e~T6TBz&pr|gep`#qQCGk2W8Fid!7ev!ak0Yun1~?^O&n|;71k|QI*fcx+cTp3 zAZ`$vlfxRI(2X$*C+0#ox$iUy=%0B-+DYxA=S8Q@$;f@+avh3dx7u!ez(*l<*p&8X zTGCSedZ!q~3QpbG!p-YW@xFPFzbU||_sPIv1na*h+&A|z3=#Mz4H=&iY?N()u@TCi zoSC-lqR#y0`2qa|;GJTg;+uOuH|R_WuI-)G(NzN`jcFt(1m&-@t#cw54#ju1~;^0QA?uEk-mDp%;{T(JK> z>^2=4=+@xjoU!TFn>3NRZ)mc#k1%jHZ^xlCa0(yW=f#mQy~n+I4&rbM{3rHO5=HbL z@mo*fZQU1&BO+nl>g5E$!nJvIWGLE~k+xM`E1>o}MMNcM`Qnx&&7XWL8P1~j+zk9l z;CjclbwA|Hd^@33-I_+e+@_|?6VsX4(F%VNkR1f{U#F}jn`EXK-YnxDkXhl)HDA_b z*Gy8=1Uth+9syL>y3NNp`4gEB(NU&cTDyg{&wN~#BYDScBL07%zMWsAY*Vejp0Dm?!SMaaqa@wt#YM+(MMJr zEpGD}b%BGf@E6o@K5Do;Buq`hKW0Z}$7c*gS>SJ4Bjaaog2b4%Df+Hiu)V6z8m7|a z?@1gr_~{MS;@W&I)3^L>4HWv4JmK)?Fp>b{Uh9{iF|+6v?ofbD-#_-0A=3zcMtY(= zE9Y?5ka5dFq1)OxabLfHu#8`OW^eZWsY5j~+n`)~lR63ka#jJq4>#nA{kGx#)<3T`(5Sl+ka*oqM;jU0(t}uzP08*);y(5m z1<6H>&_rHO=OoC}Q8vJjc81^76^jeOJJ>x52Tn_xs#GeevyH>v-_)CDwo!7h2Q%ay z&@pnf%Ycr#R~{j8^&ch)A9?4Rg7DWl+EFJ{u{VwP7Mf(^>wkSHXAMAJ*Smlxl3j~E zJ0SBe6sIrcF_;&hqZcGiQMjCw#VUTp2@JDJtr>(pajlkjE}xGfC%$$?(He{*c~P#8 zq4M#kqU~_=zNZNLQh+`*IhiC;R?_@jCMt!!l046-q``p{pPaV$_vY#7HcR*BJJ;lW zd)8gLn#2{ZNY6Cu0Z`qU}w%XeuGcG2F)q5=1Ya-uLC(8+D6Z z-0B6=E511R9*|jnn0f^v?)qMJQ=Y53JFu$}6+uB(5}ryn*3hv=P_rDcwVQL*C^@(y z?aoqX$m3K_mPFWP@1dSV)#!sM(*zqRu8Dd%9q_V>A=OW9)j8E@*OMHj;#Z!DN< zq#ZVM4zSJ|icVy{$HEHOgbGB9gi^8^Y8C$;nLzF>U%D%8o~tU{KM8dg>fyWlm6JiP zzP5rR2$U3<+F$iz{MB>>Sbp!U=fB>*q-RJJ@+RRrK=~N10w(0hxWw(}o}^|Ld2Wb7 zDmgb)lJE0MhO=@=0wwJelN2>b@qVVwNsLPUPBD`xWYS%}LVY$DMA=*S}rTt@(674>MiP3!!+5|hnUBqW^O*sa37sim)gnPTi)aW@vX&b$ zp8m4aYGbUY3_@iqi15*e`byyi$2RGoc68u!a2c&R@70!wUU*VOfFeu$Gy(8=F!E3V z)_*}cPNm1+^WT{sE2|W-za$OQe4r<=J24%bi}*m?t7$Ve-!_|AiTRp_=n~j1Iw<9` z#$w0T>htI+*o#*8RsT!PIMyy-TYo)tShp3b%_;-eq)t3yz7C3PlqiNyqmw>F9G^!> zrk9P2YHl?YKICrIhNLo0#o9|x@&H3?nS-^?#_?8AU_hH zKU(h{_g0%*s-=vd5C&msB)&0j?-@lyihwbb0XmGy7k)>7@MnEpXKD(j07f zWZ+M+h`DG#)j>`o(9Ohqm$<^>%@5ph$S%B38*{U9eu^FO1A2!B)OkdPBgMfsYU+x8MhmtvM%ag;XQZ>eHz1+f-V(-q&A447Q(9895TJ z5+*$Mc0{xZFJaJ6D$1sM)^>Uv-#8gp_Z(i?Df1?|mkJb6VaUL+AQW)d6!MD~l_P9x zk2Jw2dG_yhzo5o0mj%$k%3ODeYHZ}rsLKQD`*l|PA|LO2^GsUy;?i zke>yOJeK2GRjq{c8jR}6rF(ArpjETu~)jVd)l|*#?C8-4uah*4pybQ ze^wATaHSD!1qwY@TFZ`bA2?z54H2T8&gKL0>Pkzms=|%{wwQLBjeKU}>SXcpUw9B} zw03MbZ{1@gWU<|uRpeEow9e);4J6d4_{@Ri>ix2nhZzP4m-oI~#XW}vV_)lI;ET8; zE*4_AtA0ZiMnUw$I~rhf&CjnFJ(^XSmZ+Xd>k7R4H#8&g%fgvG!RR$PM9-@`!*Pe5 zh0fjZ8Q7`)7=4rK#%wFypo?1)pH|8co~bs)CnC%9F_Y?dkzpP@;upG2eGA28VWRA{ z>d*+BZ*)HNTLVndu-{siw4@JLV51}WnqWv$`tQ-;OPtwrZnDsa5&l&wQZ`xvKS#an z6V$vD;;)kAAd(126qQy!{!faWMjO3Yse2&mq1)tj2ck=up2S1tb@d; zqLeUp6lx10eC%$wiE48!JIC}&61uO=Wi?nR=E1!K{3>$xqJS_7q@yvAG);G&7VXla z-HeS4N>3Ov9i22%`4^#{$H%;3?oyfTr*P?S@wzkok}2h@MTGFLZJorke1&Z{~Y*yZ}$+^RTxIO0}w|zbzk!DAK6lz zyf2$@O`k*}bLyBy6e%?YK(PX1L5OR8vAsbKJ@|U7vCKldajK`&HSPSN(dgZ6^vMYo zFA(XhyIUn=3CEjvn?4ar;gPkZc?3S`4Y~%njt{op>to5t z=dFDe($D=<+Gf2v`-*A?Y5K7WX7gF55PZAKuqX5KHJ5rMMEYjspseF&1jd?BI{e>09B@u*P~qhGvY z!+jVK`$AJw(}z|YK<~I&?m1`i{abV!xWBr_O>67$UQ0e5=@|eo7eVex|F_Gw`D(gi znV8NpO_?x8Ckigw3$XIbT{f+rc6?zBAsh{zMvb9cB%jhJ%@0x|#Z*8ApncVALJGU)H|h)9xcD4QQC;dJw%;!ks6S!(16tEjdz z5$bq%P&K_Iaep_!A}qNRfl0bFO|Zb-TX_<&ug+I>7zjo}+6E#;kC;rvq z-T*J(6_9W~DJX8hF`T*v)$n}m#(l_XN`tEf`_A_H2k@@1eE)xe$(jB?VR9x0W=4kp zjgS9Nn4J0ljQ)ekIa%14{$DV8O{cMosckzM&X${-j^b#WEjg;WI4U>l|1yLoM=3Yj zK2@Lj%D-JW_TBRDoQ>ld?;x*@u-~AmeWx}LDk?;90Kn$b*w~7|<_2s7z!pFXpjf~dn1L}kIyw$20*Kh$ zY~#{QPv-*cEvK+nSXy5EDnG_U4ov*`Tl{))X=Q8xQ2gMw1N2EwR0EO(unB+*QwJ0^C#Hrn3ak!cSR6r=fMslQ0o45Z z0$^-yW@vmXXC1xuYY4>w2nYNJr>`H@W6#fESiHqY!5M(NG_*Ome1E|-IDlkuVr+8! z+yo}m4h)U0|Jyju2l@RcYx|d)kQ;oX4}I0&)o&2h7AF@s28ZS*7tpVWDmwa?Tb|rm zxWwOxOZ!^|*jDCGD{B**`$u`9-__6H-zpb|#uf)aUXcCYjFv3#=oEq zPK|GBSaWe`?B>7e|5$PW7G@WQMj$S(-_VcfA9?rRX1ResrQX8a+|;lB9@{_D7k=jk z2PY7%OuukrqhIW$^$U9&W@v1VFn=@Ae`CvN10(PDosrEufAgIHxW6j}_J7kbFMA{~ zvNpCg+kj*O${b*x+U5O(fP24p8o$4L;*b8oqkps@f9>;Me`2@(C+Gg1BY*X8AN@kn z+}fIx*jj(M0seOw1AC;#7QpY_<^W9r{%EnOg~NYy@H zVq*S8%dPATzn4z&k=B3zL&-C~*PwnEU+TXxRYXZbLRl>T*r8wb!=n7b2PIc_Ztd;< z6k~I0C;xc9fr)8suE6dK%#F@K=9!(DetP}=kq?c`UOx9izR?ku{PRv=a&c(30l56H z%uGJjU;ZAx=8|vy0}-1U+gLx$T~u;lY-N7sw*FAQi`m@V9NwiL`_TsWs{Y15^qt{B zx&UJj)Y5HYJ%MPInHO`c8lA()MO{C=GY7(hucfe5pr3rJZM}Vzgxfo*V0Nv8`q<^1 z{o6X}^EQ32rI&DGUX3&rUr2!IpCEcBD!v{S*(ta=Ea1N}pQR9%W?6`M>(ETv30gKV zSK!^qQd3@{_6i}&xixSM>hdalCv_fu87J^>5_)2lFO3zC~33$S62F5(;r~%!w*zCnA%|N=oqt*@p+U!pQ{)$Kp{4 zHLkeT@;Zn$P)gShjzvL+*I<=Ov$zz}UCSi+r_BN7@JC(FvHa}krYI;XOfhAg(LNx4 zs&vM%Xd9-Y!P9ycB1m=kOf^5eJy4Of2wEw-pj*dOPo3g}PEgrFRGo&q5;M4!sKO6t zpXem(OU28pxm9Ck@E!FA3{ETh70W!p$9fGlq?^8gN>sqo__g@fvRNg+u7NEFE6gey z6XnPc-^blR{mi-@oW$fgzU+wL4Z-#wqEM~V7exhV={<26*J;1W7k!=;XtSO%&V%`a zF^g9sU0TU(cmv9Xxq-yTTYfp|b*8as#w<+7#b14`aJ7zMWp==68i!nY+h^#4l7{Ty zSC>XfjTzb4%b}8O>Z2_li03=oCy60Zw5{vT!*zwTc0OaERZjDdHJ*fu^NYt;La-(g z3eKyPzjdW#7vD|oIO*)F_}TGInN!JZ0-I2<5_y>NT6k5F$V^bPg!z(QM4L2=RBcu% zR{aJ`KLzbv<1Q)U>FfaAFl69AqG*H&q5{n7yk$`okGTt@g<{XBlw2kp(4ZBNO>uq( zu60QTDHxJCjhd4S-uf(B&{?KZ{7z!beplDMM^B5dPRULGuYg+kvhK%uhWCAY;j;` z>n$&(rfP>|=(XD_qe7_6Sjphr^1iQLUf~DVGSt;0n`6j^C>5-}^~BL+%J{F!^{;(?DFBJ3OcnX_{MYT5QxHD|f5IZ~`zld%2PihJf7Oy@PO2+8}kN?>>n#;PS{Z zI+I{B4ls;$4Yua}aL`+DcwLugPj`}}p;E$jEn~I-~dp1$&WfEhcba1v^ zwUxXP88H>Feg@(fCl^XA$5fB~{KTH619?)1dc+Cf7y6#=lAkdsf9&qJOXL)OVzpgB zTHGeup<_gpzG%xcc+g+4gyk6H5>_;CI>qiSMzpvdiZvPbZ+fg8eST{HK2_p2DWT$& z?|oM6YaYt(duY_n)K%$Go#^Gwr_g*vYzFy9xun`@h36a2vV zxg|$3rj~V?mTS0>Udt2 zc<}~V{9<=Jt^HmE_LzM$fGDFsnKJUBZ4DF(4{60gRyZl&_v$u2L42lmA+N56 z_hqC(PVohk^nGkux+t25p(}u&H z^;=4PQ%rmnjElV(jU^1VkGHtTkUuW2Lw9tVhUgcOf7LA?Rb@A(*+!5y7aA3aAzyX< z2OApLM5v$Ft9aiLAo~4ij*~D->ddv6kvK6s+B_n614O( z;I1iv+S^a8fq|t>Juzslszt}lv(P5w$s=8Cu~9^6Q(J5gAW+^G+stGZiwK0yD#;) zgyC|r5Ae9i_jIHB-rWkd~7*5dm^m zWPJGVS?%G8r(TEd>r(*0M7aX$+o5)_&>xXfPk-5V&g=5y1j@20SKqoM~8 zKiT%C6(&Hd;ozy$*b9BbUz$l^<55fuwB-U9UkP#3Z8Ty|-Nc5;agF5^i4qVMtv2N4 zqM;~OG$hGp0yFGY*|U`)ff0%~eff21lYIFeniy%UzLAxQ7ofgdY(_*6+6-?{fSH#} zU^p4`ueFA-`(cQ-!T}4b`KAUnGB{sPwc`9o1R=)r!6M!;Ce6n^rv|%bKW?HPN3f>o zt|Cbvg~~Epz=h(7tVL69#>3luRAJWn(hh~?PHT~zi%*p~5A_Zz8W%mFTQ_7^u3H2M6I` zCz@%(aMXB@S-s@;6nkvIgQ`c~`irbyhyMQ-9@0_G0=GPM!HZw->JbpGJ9k|AZk zoiU<`!MPr2RJ*f{A2K!8c23>&4X8#s`N}q&22}Y1NW89lC-uUIvkDUdK|mlmaY)Hk z;s~Bijj!*TN2f}mJJ&AQ5BBG3==oiH%XpB}Z`J=8Uz?q#O`x{v)jEb{)fsv6}%zu^gV!|Q%UL68ewsIVhOSBlYb$j!LLroFYZ}z0(fLd971EcYid81 z9O>(SCFzXIyjQX`v(e@Wr}F@iL(*HmLPSuWZ@Fg-zY?W;PBH&tdw{?M0SRN*b!E;> z^7+t&s4*}TMktF*JR|QSl0Q4GH=AkVk|6xx}6i<7wa?Rd1K)M~0s z=8IGMZ|9{R2gQ(bq3(rIyRO%5L)NYGtp7MkE~*zzKHSNu#t;xJpjLLJF$Pj1VkzJ% zTBG9e-#oj5&88*BWk7leNWiD?;DmnHrNGO{OT8?4JtR5T6t@+&KFNPSizqg|#MS&x z#(7SjJncN%;Zl}FT=r3h*z#|-)#f9Rs+!I2f_@Ov??d!7Kk&m%mvUP%NRKOZV7rvs zB$!?{Cr@GaM}#iLYUyd&Y%cKk6n0h3{f{vw7?@HEq6xWI;TZ4Tuj>d=g&5z2%LIJr zwRJN8HQf>&SZf+NV;q1H^J10LWr`DBG9nv4oBO|I3VwEalfLwwYL7NxFb7q{h`+Q% zt`T8k#RKTE++zzlK|k?f{El#k-bNl;h1M0N>xvXOg^{?I0#&QwJymr~c3ZRSPCAag z#5XU7N-Hbj*EL$%P=P4JA#!ixevMTK1M;@*V$^FZJMDIOQDO0(B_Rhv%|R&Za7gK8 z;8zb^>fldYSzZzYXE?rrw9X@IZ0Gw{=dQWbXe?NVQG%U>2FbT&vPBvsbS>(8iwHEr zyeKHS>bZcmxHMZX3A-}=*gJ&SFLy>NgfTR@rL=Tj@(k-Se6M(`y`F+X8a%4tgbIP= zJQF%t)_&?Dr8%=?k-qt?ZN>TVyf6(qfZoN#J^VCQDf3KKT=}3C7{sbKwdoQ0&-Osx z;4v9>>i1O;vCHjh$kb5yL1@WS_^vsL8_6S+S0yc}1I3;atQ}oA2If|{UP4TCzg<%> z88wn+E~o~TW|OC|eF}|jebRx|z@bkdmrILK9nCWdb7qIpkJ^38p3C-Erg&Fz z2ga;XN?|@udoPKkck1}cbb2uGq+efWhL0&3@Wmue&d=RPji0ySL}J66HZl)$I^PG} zdrZ>6JKr(5z=$^GV<7F!j)gAJ5A9{8W4ykfo>Cg)w!jUa6WRHdH|aF z>eQNT)va-@{)-F6wx5kejx|N+PgYhYOZoFCf)K7VHfWhLON>NtV!&CQsOCE&zzcun za4Do;KSwn6duB|JFW)`9vIkEJcHxTf@O&HsirvZ)0_UW4vVJ8(DsMS|S%~KC!$!(k2_%|IhWDL%^24n^;~Y z4cw zz@k9|Yp!C)L?t%AuMhd{*+e3v`pi-Db|!Tl@NaN9)q(gVZ1qfGv6>2>m2p^ZF z!?zDpVaN));3?v1Ng?6@U}`cGH0I0;9X8CkhvEsJnq2i!Rt+f)XXiAjF08pqjDowz zl&x{Q(-G`a)lTo3;X&>bA#_pj?+fSwoBFPH8lR(;-~48rqE)cXx5T}y2J~#4^@7_a z=3h8S&M1fQBTjOYwNX@nm12I>(*gT{oVOEibYJ>Z57TW$=jEh)e4_9mH*Q$nV07zb z-+#y!6aY7e`BTQ?{B;4?FdCP(4T|W)QLNKJ7XTrS14x|2V8n%Tc*LF3;|awiru=pf1XijTLGoON zj-?Iw&nqn2b%RN8vfm7GEU<Y?(9daF9*Au%4Vn(?e8~iVXr~2$RFqCm9Sy?&T*# z44<)ZXHqA2(rDthGElBt%mTqDZE&z=G1+lN^}dEdR~X>0{_Wiz{ksO zTNJ553(Af>o7#>=l z`v}J^k>LtFq-S+w@6PXG*d3zj`)nx?bra<}7oB#CAb}Oh>Dqka99F&vM#j>@L}f^{ ztWEZ%$XF8UKZ z{i0?(n}w-@=th8KVDG4P1va823reU{Xo4rpUUqpCY`NN=JkEUB`aK8p;uYS|TBY=J z6$r95%ugiX7z>&fdR#=A+dZFTi|zuL${v9NxDGfaqQPnidMhq^t}Osipl<$rn(1M6 zz5&Hr-PNJUYarRI=`+WXl*ByvDo%#s#QMaXwI$Ru5-J7OL?5;txppD9^irRx9e?72 z4t$r?s3Ml#Nf-1 zP5k%?&%-{y@Fi!RS!FAKgn*lK+PuOfMKlK19o++Z} zK$K`n8zdD{A>*H>q1@R<6Lx-aMgwm9Qlf@}fnskl>M`i3MYA(%aS)O)!>5t5=HS1d z&X+C&kvzF4NKbnsJro2_5A zxZJ#7=U5&mC451a?bo)DNT~PDkSv#=YO5y-o*_WlxIC~kK(C|=?hx9|ak$Q!ZIDbR zqQb;_3xGfL)Y^~3T8#Y9{SACGjbLWUzvPv_vJ4t?ux6!>gK?*4AF@$CmTo%#lh!~! zE!?Z-F*^k-A1G|T&fLDC>iZ{IZ@ThNn*B%2IXGA`Hjs~i2i>@rtKL~y3xP!)N?sEf zS?LF^N76L6hngOZPW1U?>K?N7u^*vEJzWYjmYE}uP1POqc=y7#ddykA>J82}2VjN-N{xHs*JrmDIy${l|>0zgb*}?u9hrXi= z^G|C+%~k>(o#-WM^OW65{Ibrso*4sEQA+)R{^f=N773w43+kM13>!VUwmbh}!tR_} zJs7199{kD_2AFe#s&rtTM9hU5t>I>6J(C(*<`1=XzJE2VbY-B+&REJK>U7;~dNGy` zt^$-;^H(sd^@m{>dWS!|83xLGTYqs~LB5O0fSbN@{W*zkGkDD`QX5xcH^o~_(pvB~ zeKoSb)aObq5(4LdZP*L@MqZy=mmp~ghB@>|nnEtLU%z4Gp-imu1!|>IQkP(lMvrq#%Twe$I1QgdgorIU3ZbJwY{%&Grrii3>8?SQVrZ;{}4?hvP`n6Dtx;}xqAjI3k;S? z>pve_8D1*3f-Z^+tlFmjTfil;_Gzrbml}>!#lidUpk$MUTJ<>1Q}Y-Qv^!Mm{DL ziuPfJ1v1xu7jqkb;&V0tx?o77d(~^_UwCGrV`~eAN202fhu*W?Btu96tI)PQtpsS9HTmrB zD~uPLemu+cRvo*XGi`9j=Isu1^P&TXmT2jStd1#o2jzde>$yQv-=$qbjTl}ke6TXi zdM6ax1RLmSs5Xg-h?@kuy{4M2y=%Med#(Q6j8CkpwWO-T-sIe*Ui{nY)?jIflnexx zEsV}|1>4jXL>jr}tGfZK%{se)kSRo}5KPSXhwnTf`~cZVXwI6zO<6{~MHAfJV>4hD z7JFafwwjMJ6%FdVRB(9JA3M@0mafCetv8N{cZsW60KM~xp)}rso6R-OE|lSIS>NRv z33GQA(aEDbz)B?o*N>kf5u?s?%eaIU7UArVtQ>p9>^4()&FzFj7W~^9c85H~We^0# zaAKRM56W;Gxam9!Vc!~6LY4T0*x9uf53K>#$QB>Pgzk%@_BllDO4FGWQ`N62q|3Uo zhT)BVNrdx;8d>L>C!Geq%1xv>lFbLJQqdfu67Nb`;`3OQf~YS5KtVLg_|Fi19ma~U zx(5oMtr1qizCR(XD$7F!4_!u33h|KO;aij#yi9qa!9p=O3w99WyC*R@o7lOE@etVT zbxu2p=bHPP7cp9Z^C6XkWJ9Nfn|w7Td3=N8P*mtWL*PS6-b;p!LCbNPLlE|J%R=#W z+mTGEe{BZdb;!wg zjN*(W!6gkk@S=75m9)kzTBz$)IcFEGz$fGB(sj@hEBu_c@trf%7j_c&&%co*1f#+J z26>Qqhs&~aTqF|ViP=Rx?2CTsiTve;c^{8vQxKPo&-cHPTFzC&kE#D%_e(Q?FAUa= zQ?ZfrT1&hqOEDekaXBZusgm}JFh|r`zN+y;N5@P7Nt-rUmV?NW$wmcooq zV_(SOpUgrU62A0EGEQnc{7;hsC2QeqeBld%BJ4fb?OzUf98v(Yevp{0V;UgjM5D(! zRU8Uz)G=|3)HYlQW^;$PUV*9iqVy3j_{@r84rz@Z99Lto-GCf0=W6&rwFnexCA%(& z;CPUif!E*R6*eJW(mnu{T7%6)ky-dC1Ss6o2z{I(RYkKsa(;~W;E%^#Al1zUC~04n zTW-o(JJC`rWKAhq?n-W)xu1t`B|Ntg65!)}m2RRI8`+j|eA~r%8e4?}n^Lk;IHTZK zo&1c~n8{jg$Ti+UbyVGbc|BFG5dMz!Co7MY?qazkoHQX4D~6F#mIoy& z+5N4zHCbFID72G6`X2dVs6#lM9ZgPSl6}bt(h|C2i#lt2cBf#=tA3wz&!4)` zTxDjv+4!VKd&48|j?!XeDv#SI3*eK9kobfK3bRF!V#WkQNs+o7vWh;m4Io&t7Mf}G zj!<}4t`&W0eL>%XS>X#|$|?R9hI-#?orJG#!dNXV{pZ|c~$=>+D>sr|qn4m>4n2od8d4g~no zizh0B-`ITY^NVnXS;x1=wl&e&*g}2&3fsH@36Xa2A{L6`E6TXK!Jp6zUCS6=!yvL% zmVRVwoCz|01ep9gKY8{n)k1=+hjXG^M{~-y7Cx4O<~7>{*ER^Z^?Hc?;tc^^Kue^0 zOH5`xuhXcbnt-Y;Mx$OOKFC)(u2AojdZS>ZK-K97xB+=Oo%c!x7B*0)s6mnQ7LL?B zgO)4MB+~Sf+-Y~2Ko`swk0u*->@SB9Xfs&~E=%rhP8Jau^|DukC%wODmphfj&4~QC z3qn8E9ogYclMAX)6D`_jZ$(|EpgHv7s>><0(?%cpFD=*SUzfkK8%2vf&oKbC6Ovhfz)VjDnB(6 zoQOVC_WXez_^D)W{nMHHqd#>pr5EVKY=*++2I~7;+lMb*z z?9T2y<_Zd^RjXXFMHvf6qhRyBS}%E5Te_A7>yTtKk6v9?$Y!pBJg7m1)nAqtHm~Xf~`3Ctlt-9 zk_uxS*)*tRPyBVxk1pB__4$l;`e^>BgLe%%Vdm{wKi6It58^6iOJ`?%!UkD1YG1Jp zMyO1BR)Hd3rz=qf7Br~q`dt7O21o|l@8gXBb`()Pq3n5DwOvqQ+yuGHFmaX6I$`Jm zv=*q_>Ak(-In>;&{1id7KWUWCrKdB0fF zFB6ODeylhn06LH)f`XT!=smS@JOc#{3krfDwkvHP4UDSHN=djF_$gl*06d`x@*dOT z=cB11)YN1SO7jpD+~sQc-eMl6^ZU7sPpvRD*X+~RxdLCN0d-r24CE7oo4u|rcUvy_ zV3xweo4g>khlQ&Iwq;w`gFKYgJm+9a5t}cvsbznti5;MlyU&v=dod9y{DoLCvHS1X zVx&g$7q&x#IdZgXlAruI>=}^DI!79QvLImsJVEAp5B-_s5U`Fer42dg!Ktb?tIk#N z5`-?GitXFOKBDVoe;7-aM@TwN@llD*crfn&9SBLcDA58T1LTyBdSq;*iq{a|P zFKEl?S0m?Xwe~bkcQTKXGF9!+1MykX65BAgbe)!cedH>zD^~*iR;Y3uZq&$PDDH3wsGp_L&ZR3t#qqdBvEyS`q` zw4oeh}=bK5ZjqdR8fQ87Cx9XVvq?&UB-cz?n zLu{xdGF6xN#$!dWI%wqUpSdZ7?dd-3RAb}^3&@>kU`T*Gpy(aGCph=ge$E~m=H;gN zxp^XG(IYx@dimq$e-M1$#E2Xl2vyL@Vvf+9_p42>YoKz}Y&smt3a^3OAJ7%5*^SDx`z^A%Zy=_)x?N{00YMdt z5Wc4yM_Ca1W|rC=b;D6N3-R6hRK82YPKp`!hX0u##=GRX3Qw+uTPi&hc#;X*giY-EzsH+`&_#G{E$jOX z+XRdme~882eUafHV*r{U_S23^LWdl;t6bzSDJ1rNo6?%x&j^x+u7v{GPC>OQFEnEZOh429GnT7VC{} zUoP;dv)7e(%HG_jy!g;=i-5+xkG+|nYBVRxDI$7hOhwUG=v@E$++_o+S|XGMc)ZQ-+CLxEb7S)OtW zTgU;s*CzE}{wW##LC}9%`lf8NCQs5OWVZL~F5HR-OwANeb+i*cauAgUc8B6=Z4H9F zuG=SkM)C=P$3!tp_lb*4^Mv;23P4;NDA1f0gPhID%_r-W2gNhluyYxZtKd}gJfRo- zc`k$QAzgfnWY~oZEoAIu6f?d4MnfP3Ly#q-r}xLK@UP@49UyUt=yz-HxMc3BJLjNX zJJr|bCiT|kl=Ph7fyX&L&JZ$(Z)?LW>@PjMRX$lFqh3mGYkJMEntu za?Wra=B#v)xxj7SAVc?#yj)rK)jk{mBW$7M8)zT!=HcF7RX4u%4ZTGi@=^(p2E^~j zS(kCzVXQ|G`H@OjUj$Mq&Xk)4+r;}iWlyd7C0WRpDraF^(N*LIvJ&~1ZUo2i1D z1Z$OFL(MdXUd}dH9o^1Ou1VSr6y=c~43`j$oK+n2ighn{zC8LOG3+ro>EvCQF-4bhv4>`M z96j+<;-X)(T-YCt16fqxmi%dzdxC=q=QJ1D>vL&)$}REg+il@%tUD zpp9DW$FWHILL$33@--(bM@#Lvpdng~DLPP2x!>dSO{`WWFNR{1H?5!85Za(}+C{eL zB~Qr0r`H9$_XoBXB^szANQ*Z_$ZcLpIgDOS#34g`%O7dbFG52T1X~n|tj=I%(GH2x ziK*jH(}HENheyH#!J4STTM`?b#Zv3kYwMqHC*x(`T2^QA)1k$Df>pB-cS zGq)>w3ho}(9((svUEQ-zo*^B8MY_zjan>fX$M)fz$OK)*ZW|2Kqu1sb0e4^H(zX&VHLD~(lVQP=1GbegoT!I7R!?zz%W*16hSqVcm_iT>whtr*m`a|T1YhV}%z$huGzNjap=a~r`q z>Hv7o!i{#Zwy~UlUDtYwWuljp&CAdZ8~Gn_uke9qB7|gsREty|-Ucg(>4$h;odoCq z;paOlvS5?KwDxvFnIYIV8bqD`r(LrM5==0SZ{l>{PFCqW0jd-CRp-!|5Tyfh!Ua+8 zsd0xS9z9zUafDkEyDAnMcJ!G6Qv`UlPFma4be97SZ_#k-t5S*C2 zLMR_C#OpOu>Myz*%@*e5LI;snt>?$GYw-u7Juie*`AlmqugN)ni(9{c^hC@8{wQDz z`*kPh7ET3P2s|y?DBi9%gKcDxQqvC4HI0hA#e!stef8~AGog-IZg8p(V<%+o@N<}T zmGam?NKr6#nPXSb>NW(4LREAOo?=Ij%H|^ec#19%SHqh^3dKfrNiP2gl4y726u-nTVup}vLaPykDp0rZ(@9>T$$Jmtoh$({ z;RoHL1akd$Vd~0Kk46W){aZ|##O?d#_Gib~p(IFmpf_=eRsO>@3)T@`j-J71AhMwx zE7uA)zacvCtYue+EIim9{rg5Z z7NrX4N;)AqCCK7Q^6F+yA~mAGtz$rEq3I&nnGr$8c?~w$j}AAOj^Ih;}X0w5e=iA!^37sG8)S0tUBo>(%3s$NRjzC*{L#8mUsWFj8pUB{ut~7DD$A`red!7kUc>3ZSBD8#n?w!817<0jX3|-|8E;R- z_pj3=6FGmp*L_3{;S!;*%NA2SI`f3cbyM>g1wj2W$p=&WQSLC9Z(^on?GOhjl6yH` zNe!KRp$Spa6FOeRe}H+BgpH59zmumv#)yrcz4gOAB>bSey>DLLS*=RbyLwP%@^x$C zd`|jFNzq(|HP&~dQXuy+b;Y*VxEofg8?ISyRW9?)&fAClGLy6Z8aVRN8kz1Vkqmu2 z>h_r<$>=Fg&BtMFTYPxv^&aCkWTe0cvx`r-TO2Ie92I?>C)kTA7#l#a!4Igd9*#Ttd)U1Hw}SwI)#mvs3SuIY+YDB#R#@AAb2LX6ew8^T(%RgM+5tS z>F9C)bD=?CxgXzQk{<~kVHJuO9iEa!*$>IKbxJoBK|scRvh(Qp}i~NQs;)8!s`w zvk4d@&xQ6I!>KiQ@ZrK?SFqY$bE2aj;O%uGksur_8eagGu2+lk!`keFT@{Xjy9Czs z7_bpx(;`Kd8z!_Qew&_N)%rx2MHX*V88>N(-?2`-Blj%9jEp}AjOGdB1TjEtMc z%B8snqkg}esVU=Jza9Cg7k9I_tl`>;pCw!*p?qXIkeI;D%aOxK@qE7goY_xy6=xj; zs1%sB#;v8B0M)`WeZlMQ|IszXYWL-laRx;6XO0x#rDG8K<3N=)IQ2rBP=^2ap!Ty@ zQ4FLE)IuWhDJd}5Es*&u{G=_1kC}JwPx&F9F^p6<6SE3q!KQa3DCQkD|B+b?7@q~| z9ZyAp-e*_Ooz98^W1r3p4UL&58hoJ67NHdj#ON}Vd>})sg;+qP3yQjL>8x6G3Gtvt z07TSiTIgI+PA+Gp*g`_`Nq%jz%I+GpG7`82_$4S%8taM+-a5z!2&sGNFz;#gCRXO zm_~Cp6qzYX5SwIYmE$B*>8Ggbb5RdMmr5ZQCa$gMY2TS?9&2E&clKAOH#T_zwBVv} zPKP-Uo-7374e|2@9K-mbyN;RP(|5t_1VYw-0IHMyWkfzmJ}sB+u40;o(Y0Gc*V5?>V?VcnabCqe0Puv2WT{!#i# zJCqzLWa1?Qe$COk7^h6fQtN>}hS0kPD}gpABTx;y7k5oDr$yhf(EOn??*ej}JZSxV ztpGKt-WHPqU_%0W3Nfl@0H%;m&IKXmwfC+?{!8SoVCI$wi0Uw#*T^ zk&%&Hmw3A}{HVG12j(nAV`%OA^fE6<-E2f?^tPe4-GR2%*=z&QGaTDzQE-QhQmIDz3{PJe?fwG>_8})mkoK*2XA3pzQ2xpGq+mb3pTtVPylx; z-Q=WESvD)9aCz~F$?^p_lYLkfI&@+3F*I~)E4k%}8xZILs^ZHdjFT21Y zL|1~YOSOS9JS7x#tE+13-EBQ zyn0OJk7DFyGW}$7^72Pqz5H^mQsd9^vMd`wCoG>4kQ6k)c9$nR4`kjh?Ox7NA4B8?uJ!rp}zK@V}|HhNl{a%BLz1aaYSA5_7@S`+Ma)javZ5QCsE;Uc9c<2#`%~oDGv~3Ip~EHcI6Hd z_~EA*A>ENGdh0ii)kbi)%DfoEzX&^cQ`RXevdB#&6Nwi-zXxE}@82gfoMtGJ!N}La zh-2p!oe$2ht@EP~c)OG?=L}+X1zU`d79h&4fn!O5z*Q@&R%!!0If!dfXIrkZ@1XgW8B*ss>+0N>%Tzo1~VlV z4)5rhf95%nsfId-QlqaF9+(qu8fwP1AO|oJEzM1;a2*D|u&yPy>9WeUd*L4sQ5^sr zgR5*ku=HhxC;q(Mjm^|{)w@{qV9-11cyOTttXEq2=1F0d6>B$~Tsd)xUVb>>FXwuq zu_@^v8idzujw&Bf1}YyTfVO52t}dNu2`4GfP}S`T30K7)^B4+nY-4ARg$@$m2Ndb! zS7&B$S+9b0rzJ#J^WMrg;uUnUJposLEQnJ966L8nBAk3`#c#;ng|8W@W$2&@jn>oX zZN+EI4Gaj|W(VA_QaP(K!^z&kxg|`w+|j!M+s)_w#W z(B2f$;KIWbL$!&zx^nUNLVC=iSW`CmTi+4hQHZw_!LdxT)%jSYUP1jItH1MBqnFoD z`_6$x`X|R1BLtiqXJigwHMkGKc7fWU6;-R|%p+RbjQX|AwUh=ZIjB7w{fKqec+zu2 zecR@{cV>Ioa|%eK94`MttraO%Z^g8u^bZde`l4_WW?kgMo30kmRhwicLF75eFP}_< z@R8)~+8Dd#0SZVFr}PSn&;4Y^E}6GNEt<|;6iW(^kb>1!xeq^it;?$&OpUclu5h7* z0E(nc%@TccoM#zZ0TeTJTcmFXI*0tCx1c;#nqfkh| zBeG9BBqTE+7)@HQdrcTr0R$PJ((gTMJ20Q?OR@(wEqEL=1B zN^6bPQCHWhN1s9H*| zPF~0*=t4SKT3!MPxVfMHDH7rT24w$%q5fbzb4IZL+`!8DW7eTOfDL)I2T82qFz6uN*k#T)?x)%JZ%1#LAxS#}+6&kCE{)R{ zS?;H-`0Df%Ay+cVBAE+tI)i;_w5Ek8sxknRw?o+;9k_9*#aiDFvePsyEgni*tI6+E zS~8!XOw&hO;n0}8<&_IEX|FT%!X8Qd_5+lJYqW+2afdr7X_jn1o-Gl#(6ui8uLiFEH7Z)cfy zdlSePWUjbW5Ta-0KZKc!!b#Jtaqljy9L!U?BIdbc-f!O{M{a{~6wq@nYDddEB z2o@=07<4cP^=}jAZH6Ro>P>zInuOjO;bBsmJ`K<*Cl4O&j8lta@U?dHFM1R+6kr=W zmVEm}eD)5#GU3O)m&QwMi~*By`$^K!GcfomoIusFE`KT%vHaq>w4^shI+VBcRvVb8 zC$F~%x@O5>_F&p*s>}IU7XQrt6cI?A^sglVSCK1v`*o3@wcA|xE!KVsa=zBsXO*}R8B__TGO!sP_9HJj$x==~YBANdMOheG~kLb^9)Fq>pD zHn{L3u;yHE8$5&D3yH{3U4;E9*KkL`-56N6I1W`brZy^AXCugQ4Llo! zlC?pFh9v3=prG)c&O-Fo^s?~DG&gF;9M}0nXnZo8GmzQKyKG>vnE~&>oA0&s`=yWN zqKRI%?4mnS5F8+C;%f_0n1^rkg9tTXYtt>-%w*@O%VecFTbUEDT>fBgp zQ@(pF8q;!3F$yqh#)csvD!c`4b=R!n;0SmaxK?H-^Ud9IL3odQ(e8jag%?HsQc{mO zD*YEF3Jv3kA^-Pbx_ZF?N`2yQTp_gOPDk=72&b}7jhT(m5u(fzYOE%q^Cf7g!)lzY zL3Da<>7DJC0)imwD@w@-u3@I!`+WG^?cYQ4Z{;dOj2MqjZv^vN^JU#ugfS}x(#ee0{?Caqk6E0Rs z>(em3Pkj5Er1v~QIa|~Q9O2M_f-_MR@5~nEW+iS)-Rif?4Zt!MxZ}V%dv{s^JeIdG zCJN(KTiSv*ctd4!iNXGzvdShi#$~Z-sK$vn{$xNIFYyM#I1C-8Au{I z?$M&(=0McCmdG*lr;*Fo=SoMwe=WOtk`!bVvgb)ToVh+}8@e9dA1enSzb;mcFEk9M z(OW==v%&_Kbe47u)A5HI$PB5i1#}3UzH_i@?GHDlaB3S5MGG%Iw&B|#mt{ItV(VaM zK9Z;qiciZMG=BwKyT_>83;RdOzCm+dXvf}?6ZW>us~#<0lbmg1Oq46kWRfO*wptmq z)X+f~m8q#G_1FM7J*22@=%2V6QPhBe98mfMHU~PdPqn#m20a;7m4USLY2(~|5g-M$ zTYBvQswL1@mCKE=_PWhedM|=H*pWGv44Wk|gh9h*KI|+ze^TEH)S@M%ctCk(hQA9Z z!BO5HY;t~=+c<3=ZlDjpoiyeefffPalSS@8+eyC5gq^VteU%*ugw80X(S4b` zw$3|9~TU}@f zqe%KG8DclH1X|VSIqz8qxCuF_#`3&Ktzwu8nItd(C!#Js%Gh*O{gZ_MP0OsxVX3p* zIg?_WU7{95INr5qecG~a5r)!&L?^puMfo2jgSU7qz)TU9n9_t2UJ6)XDaF=tnNJ_X z4+h49n2C4ECtPFAn1NLk^E=)+g<@xGDcgU#D6c_Vfw1vgf1k%}AUNo|pI*Ly^IW+N z`(K7Li+|T(!6305;~$f_tNYjkGf;bc=%9tqz)Li{?>6sR!xmdU&@%_||DX zkLrL>d%J-gPMkh8IGok1ltmOopE#(WS4o15AZ-az(7ewDa{?7*EUy*z^$nOlLqbnD zK_f6h=dvhVE;6^*kKCvsXJb3R&6ZY1qh@e%oAv1&Jsb80qv;12X~YBAq2u#>$if7_ zgd5688Q-ikI3^ol`AMTnyE=tBv`)z$=&FYvc|W>=9Z_1*zh%~Npzr5@oc`{f3Ea)^ z$0z4uFGd;yRurE0&e0>+zLh8Fmu4T$7_iD_jt=Zw5^~hZt}^7GVyGN8Rw~J<)R}QJ zwA`s#s56I^Oyz2JIID~&m5lV8tjk~0_@mWnNMW+b21Nox{pEF289bnZyvDW7UBI=k z#HlOHWQRYA=K`n^*L7!_J`c6~Qnw;^wmc=+zuJ@qEx?zYm&w-(2}$n4E&GGZ%W^B| zq+?hn38Np9{_vtG0KtByTD3j7eeAME#o4&k8rrk;g5pI>mBJ#KH3omAGiD^OGBPK= zVuUHDkH`S|<%~rD@a;IWeuSVxS}2GJOe!x5Ceey1*o#W5nlJdp>YuZ6nQZk9P>5sV zb4xNk=W%V6(`qYeEA<(U7sN+TTLFyDDtnRm60Xn-BIb^T4ArKD8U8(TvpmCMHNpM! zMBLw67v>)YY`<|z^g!a&dtc`dzunb)4-Z8+fVJlzNn|jrj%P?9W#x{p36X4sAZU#o ze*6g1K#(~kvUu;2AbC64n}KfO4#P4YfHEa0X`0}i%7`tfURm{#L=+o63sCE~X ztBo9lHqf_Ccb^w)Ks$kIfF{Z?e}NuXpcJfigqx9b4o=9zr5l%7Kcw zQHl0B7f;j}T(8y^4;z)Z$GY={c;lI77B}vE!%Lc|RGFBSI4Y3~Oy^u(QPBEqy?R*< zI6^u$t#)|WOt5j{N_!iN!{)FDH86FMZ)oBUR}PW=B&6-%UHIW3Em8lF7_aA=yxQUZ zl*V9cLan*Ay$^S?02ts`r?Nlj&AN<@uKmTq3I|hWJ?-0~cRhbJ)Q{!9;;JAb*=jz1 z)-r0U6;6FTSKAvdONG2Nw*X)SAx8Nbr5{BeKbq~x${!3+vzCUF{eXQ~qLx!0Q-=^` zaV+NHWSkLgmZ1GkV9{I+mhH2xkmF?0U?JsFcb;)-kDjXUR!L-(KER27q+1tMQnav2 z{RSx=Dns@iwYC!~L<=Sk!Rmah77Zh6;=&a~wS7U&g%E&`WkGRMM6BDyVnvch#TV8XKyVdlrJ`xWBA)Duo(A)Tlm=}+{j1P46=jeA6 zI;6mAX6~Nx{{@Ha^Rm)@2NoSeq+AV8abyrf?St-}^j7Q1J$x1*Q7x`?7vAsvNtPRscj!l?;f$jFFAu5Z-Htf$SY&4vbexRV>enUy>hICkB69+qrfct=F1^q=o(E z16|7c2I&fpgy_4u!PqQTTrL3Tu|0B^n$O*0S|))KJM=OFAa1P}s1WcZ8^an!S|wOd zhw3`^q!&KcJJ*g@(B^YEK(C*_iO8$eY=A?PYW5VVCN`NAh4_Ry#34hI>ys3>ChO?FRhN&ukP$`xtz6!+>ePle8Ww-vO>5pGS#rCNj%YQg6( z2b-e181{_^Cfrc;A7$`M>}l=*ZbvE=T^WzMt3V=eh|Lh)N44%v0#YZGhQ5sYu@d4O{Ny8N=vHRiOTI(b0zFU7fbxs{Km#Av zg4O*mkRQwc6Y^tZ<6vU`pO7C5`+u+gL4K^9Y%KpL%w!lT^=vb?CW#h&7;w6!&>)h_i6TJrd4bMrFilRhVV45Oh95R zoGlDZ^mI3Xh?SR;o0^K4mxvgi2bfBJNmq1M1nxflD4>`C;VBS{LzAmB0=on715mU7 zDS$&hrhf`*|KQLNuoxhMlk;ToUI?_Kh1CDpXQf^ilA>`0}c{SNqIR=AqiMsg2D=*$Pb=BwMUe^BXeCn z1MskF$`7ta0NX#f0IL6b3)(-uFtGiRx2TQz>lo1vBn?n2%g=n-XUk8|oWI0}z|#-; zuQ>bq;^P%t{~D^^nbE=i(+kWt7QhOenal0b59!US&HhVGP?j#%&u#s8?@;OaDGaMF)it`-i;mxjMO( z{q}SF)BXM-xbX7~J+(t3JB@{N-34&U2gOM$EZW+O2e|m6OHrBrqv~>=><5GQnNE%4S+`G z>IZ+T=L!q%lpmGT0(@6D{`+UIPj-6x7gVXOk*&$)O$;{HPlzA<@mF(5Z|6q^FsU;- zxV@QX=htBK$ExXJuhw4a)fEWn$Bcv)RP6D$kLH}1KQ4iMoSlqG0O-G$`{x@ls1*3qhe_Lq^imYt;^=!bZ_ zqFbYWjHIz*KA{AFjKG`2N2>b@kv* znT;6{H zE98fjpefv4-@0OXJ=tP2{Oyp+cPHJHZo96 zvdt^iYwyIY?iI5H}+a*4zv(G-nHTDTuwzNOu@}xQ4q(Z1N zSB4(B;%V=c(G_$3^#z+D3iz zeox?n)IVD;Ivcz+lTiG86KaJ9Kf1kCQuS9kh@Z;ULi5d?nAlw&wzSR)JV2tok^R}K zguv_zRGOfS{qEh+x}8p#(asZKD0Rj-#H}m{QgyiCNj~VZV{V~$qy{QqLh~~sYkV@^Ck%7~V*GlQv5HCr65M7bDYDps$_e9f z*PC3tPEeI3Xbe4EabZ>-CS8yh74vRxLKE3^H0R!Dgyo!rUeZ< zi9a_}!5Vz&4^^ePK_7~L3Qh1ZM%&APzH=Gyb|uLK*FA|Yv8@2?+bB(}YqWy4JL^>8 zhPu%9zQtQ~@uC8tr~R0hrsLl_P1>o=q>kt0AMoWJybc7_%OyYvAHD6WQtL+WE&1Qb zR7qmgwv*jG=w7$Nfpk!oJ3faRxLR^+^=WO**ZCf4q>8X=>Rw;a_a05a)+oEc!2Spe z{>01o*eQpBHQp#M#bbB=LS8OlPv6n>O1(8#x|sYDM&JKn?`WHoo1+Qa#s&jLodU7x zN#b0bA60thi`y>>OsnpzF8qqorv0W_F^>{Llrvzc!ANFi(R%TeCSWUN&%u;uRmktV zc_!#kDv2TEe`>-?7-iX2;v%KTlpFtRSL(pNx>G&m)ITgH;nGyfMg&K||6UmCL%5DE zgBqUU>%s~s2tpJ|7dVL@XZ|xb;E$mODvlpJAx;;{qqJxnK0skapJ`wLp|U^LvhlX?(=`;Frm-EcrH;0edrEfibpPtk^v6PGlV8f=|yspZ4mo5L>FsaH7Yz*@9c)BU)CgE&(Q` z^Ca(66uZdQD?7GOya&Ztqa^M|8aV4*wn5tD1o0aUz)Z=w@#kxB94zTr{I=u?sa;+D zXg!;wnE_l?PZu;*TLzujo?DO)W>KxG|5)KjrX`-@=t9k>x0=Rl9qu5nL}mJFQl%-ISL^|%&d3qCzK-C|5ND5@I8DM*KaJIo6-3T%UhZ89j;k_ zDwnIQtiJ3vVD-9pVXYuSl@!#%P$!k5|Q*oDia0M}YBZ4T=_Cx zxA8}|e62VH>o*_*K+s70k7-#^dJH}hKftE!TY`8xHdLy*nx}Se6h`;jPnCVLTNGT_ z;V1WZs$_MDrEv)x-=#VY9%Qe7>fn-c7RA-K+A6A94pJul4LwmW#!xpVU7i5mYMO85 z=zXmTw#F4md&%dJT89u36d}8BYzG`*HWr?3SPl|+S4xK~5C`@1Ds(X&Agnd**ha7% zvY8PgNsP6YA95@1vqgfQg31b7>*Bx5*p$GFCjU;R z4}pSq1r1auaUHos!lwusCPJGVx{RahP2+ov1iJ(BGm{|<5EEo{9$H?Y$}PnC=NXMW zY88u7Ij*Pty>23t!-h#-gFw5SgK8G8CevS_rJLxUJIg!aozd^T3DxO~E|)y{bB*@O zdm7VL89eJ{(#J}E18PR90Up_3PjQTdT~>72vFl~WJfI)N?SqX8CWE~5IL#(v%({k( zc9gX_7RQ|c@=X83VR3TztF{$Z5Y+U$P zh`ob+Qe%9M>-*ishI+xoq2JlH5r(f*G-)EYf5R7rDSD9CbN0as8%Laj^SbR6L1Nmg zq|;ddOq@9?<76(2+C{v=K@nfbSfhrNfM0sBk$M^jj!wddU=FH|sV%nfXH~-07 z|EDgplBOKuW_KFWYnX&Iz5D6yx5feU&XplvOz#rdt8N#`he7e5cd%IbJYY-pcW#Gn z5A7xVcIzT2S7aLQBlZzzuisYF6&7wJIBVK`Q)G(go9s(GgJyL{SBKTAToF;z#Tm@H_ z1I#K29ub@wa$tQYM~`i;v_`WRnlSVSGYJi*78DIR6>^Q>{VjUGW=MsDM_t-a@6yT{O?7S0krreyp!tv{4H$d_+g&g<2Ym)WGAEpmB$97Soy_+eapfqBB`R>(Es7aioL-yb*x zp?IZEhQ2E_a^>cmX8~?8g`YQ~)_WW5xfy>`5HcaKcD>*S7J#{OCT+JaAWIEtTXgHU zhXmaMDim0I()%taD@_a!EL|vpC_GS?Lmt>OphL5WV?CpKPd6S!p#Qo$MMr~fVQ8=n z>eC9$+$KS2gvA23?``y3^}>+b%tIUNMeETBC40@uPeFOUR?j+y>Hk!M-d6XyyihM@ zB@aGCDE(!>Pos6*&xB^pjq(O7_2seOqhWko`9fJ5ZXgc&Mr=A`ms5G}pUQ0pLbLKZ zE8P3!{Rs9rd^dfw>&VV2Uq;BN5TM>xe4~c-mPENGNW=$=wbs4z>#{_jL&3Atl zZIS$pK{I)cPFd4{nFrh_6J$)_K>_iG*XVKM*dOa8KJ!8!tezSqw%L{yLh zB)43#0xtWSKNoVF%?`55kI=Ti8V%t|`LkkFKt;AnUh(EZXm_c}*0{9Jez+=xAAAL_ zj{cEev%o(+iQL5*o_EQ(LW?;v%?Kyo@Q29<760BleMo7=$|t;VG5Rv0aANcagAlr2 zT+?MxMhQwO4^fm(u|B;7ybg_*649>utYvA+A`f&DxG~gfj0@IqV39u$9-CS`?-QR= zqTrGECMY8fzgqYY1Lf58p-}*W3MUuIvR~BON@`3}M2On9sZpZgeBo&phi}I*w$r89 zWJO0u9Wd+{>%#Y&O

7CTj* zUo!@xT{Mcx;xl?`?u?+Gkd5q(WT!QId^pmRi&ZnQ7+SRYEd6FYk9Z3!e-Z$iH4{k z7P^Sq3>B?kvCAsSgc{pRuKMtO$A0laZL|E2AM`-zGr1-V zxx)F+L-kjDr6G3tGcj^i@ysN+&x210eHPdJAy>G*v%h@8uhRdUbN+um^kKQ(*dMqX zySDRUiFwsuk98$+PQu=3yXE);`HI2E^Y<@Mxnq)79`tQLZ29v+{2-4%7m>Zd-&0#K zM=sKz&#*t^ZP<3?8P&~8zqc-rw-xYvCN>Vo^4A(J`!JpWvb z_f?`dW~~Aj{u3Q-=E)dov2YOXKElQbVEC*mLu!WyN_d`r|{AY;v&}nX4Aco3L=PMnBm+&jYEU4u1 z&rv%h7T$-rO43#4AcI!S9u6zPT(8^n0dEKHG{??8Qgpoojro}vX7ZM1YMko44>+*C zK*b<4)49M|Q~^8ZvN!!3e){a@{l+WAq6Sb=QqzVO1(Ca+aVs{tL2-NAjxWEUCRFpIS22_fotYpE6S&wd1akiG3?lgF#+8&}$;opEW|S zPTSt+`uIe>^cl7^?cCVuuI7<=f2+?oE59VV_(7-6KJ{XKiJCbuVgCm4_R*IZ*_pf@vO<%6hew(8&1`wO0o#~d{u0;Uo_ zICa;e;!U5o5vIQ-h2$5HYl27V8xL$|IX*E!JEYJy=V_P{y-93P>y6wtEW1&XY+KY z;pixv2}t*GO~DQ0(ekS~91p*+p9o`Hl~%P4^L)agu`h(PY8pB#E-N}KPik5^J1$Q< zt&Jm3vC4QH%jDxLes-UV7V;cc$RprF;LU09b^-3&J)UZ<6?XRN+XC=e*ma1+~{ z^1!h|EX*+V3LN0Mnv0$858(<^vR8?fFy*zYARi0iSc=`qKbnE{epAsRs0Jw?4Hcfd zimD;DoDBa^oSe|hv9}?~SLN5N@EG*1p{PvaxZIMP+9c}i4tua^pzU+01PTG1-z(gW zI9`W!SrLtpXSGifu4%tdT$i3Lo;hVIH0{6Gdfz6d3VyK__7(Cs z*!633aoK&SMJpRbDrNR;MrgcR>ErkOdYmwNsP}%z7vRgh>ZU6_)0#WKo!A(z6`Y`2 zv+<52f?n&xo9FaGFFZGAKJAFzjL@>n)PnTb;l=Pj7uN#D+&p>5GCBHdh$B|2Z`u%E zkmSx{qwPX)&Q-{NiwfZ-EcEBJawEmI{BVf zy3Vs(%#R=dX~ieug5Pk_Tq5Fyx)O4$_UoH0v(EO0zjTA^_mwdaPyY)sTBrF*3k}vG zsV#2*Sky3EtHm7hknH{dlLr6Vi0&hIK3^-K`f<0%MuU<~7NCu&aqv$0%eThz$SQVh z5dzb&cZ@D{cv)8Z*+P?fewxq2jyTT$q~MM($wgXdhj|XEZS^k ztfEjse9oN*_yz|Wdlv$~D=vfvo9&Y7w?~zz?9C2{H-bm_m{I>JA5dT4Fl~33-P{c# z!a@18|BU9@JZs1BG*Wy#k4Scb3A06c6?0c5sOOwr(Fqjn(NC6i>v?uA{M>nO_Ji+0 z5-grulF{esozp*L9m8Z(p~x;VlO-(?LfJ%RazWN6k*m^0TIJ{+#E|$=%F8VP$+7$L zq}7rNQ6R$#ke2>o$OztU99?pbMm^AMGoj7c4#Ob^)mk1?VHTh5GK>Td{B2kC*;Acd zN#sNXUHOFNKN8t1^4;?H)Th#=sF2T=mC*dZr|9?l=mfdk=5Zuc2; zrTVO|$*Q!L!^NUk$20)>$Z??-L{ur|;7Sy*%R;w!Gn;P<4jdG866)b0H1MtNZTTWR zr88Oc9sT}3SJnZM_}3&`y*l>~tjb$mLQP~!S34OgNaf^ z%e`TJ_H@Z1@PQjGd+9xUm#6!rj%mw?7ftP%w6W8Jk{!luHMaqd#fh)MSB zhH~LcJw7A$<%)x_!+ve@~8#T$W0Bir?H_&l<_xpT(uR^*+B`eXot!$(+w?L>)Q%Hl_efRu<* zt;;R5xWu=vz=l2BY0Dp__I6^|-7yaeRJ{Vr*E}NSuafuVGVYi# zcRGe_Ji6ww#S~fG5%>VfE74bm!wM{MsqP^NU7{hjn5uDV<~;J&-`6bIn+KbyycJ^k z-u-m6HVi{kIDz4==^^&Mf`ShvdM32zCf#H?=FSlyW_(gqXu>Xyd$Zxr^_%L*My*ZB zX&)WJS_{>UZN(5KYKw+2Dlt0?p>vM#`4V3P4zznGKhi&UeE6SsPTGcdSXkPBBQDz6 zUQ4j*-=fqtFb)GJ1gzw^p+V27+G1hvT#2Bis0 zehQbKv|eWUR`dX?t5&*sv(%~+7MiWPso|-ydOyoE48E5Oj9;{*_hv^&TC>S-Uow;) zjAybIieFIcqX@{ZcACZ(ioa&Esw5k}%YbM;@QOm)g?!jTLfC~p*@8n~4kFu$LD-Gp z=wri&7tC7uiTM*xMMZa`8F_Gf$NL&P)HL)aObZsv(gv@3e)s^#}aV8zG=?Ezy2DvFuyoIfL?)J@0j2i zX`PDsY3529w&L^KSkrA!XV48T7C|S0rKw;uq_Zo+y5X>*j$w7g!3HFBfdZ{04x-?u zv)Rf|g3b*VcGIR#@`zy{Y1p8TcwnfE?BaPFEbJW&Z@nQu({|OnKsT$0Hdf=|Of1B> zsMjZJA0k6pXZH9IF9V=aHyR={J4kNvh^h%_b#Iw@(CQV)Z~t;d{GDe%q(?rzT0U_g822(zA=~9 z*0?)$bUor*f{eNsh(7VWeQ5ByKA=!vzU5cac6|28EhXvIbByGyskPeyq0#+QZ`d`=6*}r8X|6|Vb|Id2*zp3E<=k@duHJxx=HLTAh z?lG9o>G`!q`XZ5T7wS%#7WB>HrVO2=CTpCA)kO@U#-t>Z$#b%4*}t$pG=Y0jl|52I zUETChfq#GfS%Q31E>~1{KO>27LSEkONI5mypD@=x27!sW+Ghr$dDaK^9~v zVXu~DQO9$(O3HiVPHVu|u;wJ*$+@0NHP$aF-ap$l*Gj8?*5= zM`u|{7>w(=TC;xbhJ~C<3xE?i{H@=CVg#u)!cD8N#z9lJS8r_ z5UUw57Wi8dWWbzgBF1x0At1A9hZd<6hu&CiEKg3ENm{18chvpt~CGt!qAL|llXZ&lwGurT@eWqj;j{2PXk&U-+&(M5DVA&nRs{=j4+m1+jeP$wj6n_)Msy7_R zmd5Y{JQ7E%CakB1E{fbZ(ZXl4aFu1Kk*TiI!w7xCGgC(38XP3k?6%U zNE^s(OB2c%w7qst#d|%Hv0yrr-(t)!R@b#Ir)zT4*rySu?%yK3D0wcaQQwC1k(UDW z>TKL+rZVk|Tb=F?s0v))oR2j3wB~dbxIni*(t)O;RyaZLMl}ofuPqC` zmdnFKR?uYZe_vWM-|21t5oIEXjz`(R&w`c*M}*$+Ne${W%>0vaJOzKZOY=%|z#&N7 zLy1Ntl=Gt@gjjeb|}*tK8>1ALh4I>wA5`=3A{L zYWmaO60gSmlHM(r<-Sk+ql^9??y?K77Q1zU3xE^(Wqpi+#u4t7O zRkYCs<)IlfYI-dDGar(n)@f(0y-bA4{N^vzbtXwaPkw1O*|&7tFW$Y>R35nv@oop1 z_b${ukAHnWEKZac3`KEr)m^RHt}n`IUUOs_>M&-WghlmsvSvO{7SLc9eoj`FeDRU1 z)n5vP>b3Z^W|7FkFfD!wAL0c6|YO!A>K1Dpi=BJ@`-t3+{59 zJd-(FV$S>y#;ymLFt`C|@ly8@5qe(E>uH~5Z$B%PcftdIC#oFAys9}{B7&R2B!oxa#2`IVgJ6TdR zS`d#EcW-*TC#;aFbO2_PN7f3t?BnJdu)S0p$nd;m-i@0Io$SMQ^6T87KD=EQt6tso z86Ww!Y#(*qdehZjG5mN^*YwAyUD`Oa$KCZ7eSEa+Go6?)aHtc4?F}cLW`YEl}1$!D#Hz`x_%yjKD6j%iv2XWGXa?WHn zo905i(tQVJr}#C+EZ2c%CFpOKx>G!7f_44iBL2hq%k|Kq2>|&^GSu)O>;5OyXEEh6 zqTowdG`m=aP=2*+5z3?d#B4!rC$-X0%pHhF=r%yCdxhOR1)`&*PN1+!l^Ac+)D=P- z`Ml;}2@Re8iF+f>cy78DQjLxQf;#&h!Gk zm+e3HD;zz0aa;k1#$KczCt7jb@SK}`=E6;w6(!e|Yq6c%VyTk{dOE+?1{Esi!vdm{=Ol9t-A=KJ&|a(9Y%u?XW)aAnop?>wP&e;)=hkHb4^ z^v&oN?h5WFGD+iHgv>E}Ym%*dQW|eqg`n^yb<}>ds3ldlVqkGJq3S`|n{()y1#p;? zKS6eANIH}fO$N>Oc!0G37${fK_~pzEY_~E4rq@$`hVE{$s|uX@=PJBjKU<$XuRXIT zEZhl^aX(&#zaNs55pMj8kp!GlqCd-&M*&n|77PpGVo~ACj_#1j_#Lw7Ps2#62clk7 zL-6pwWnO)eVPCyq#Zz?e1xq-8K55E?#Lspy@HcPj_|!?o`TVWi5LMqUSsUC62 z9!DlQV0`0vl2%|JgYOqX<$U1K{1I;GqGPL=Q3kp4Tb{ zGev>OT4$nmtkE4?I<5pIR5PSy?3#hMGUn#pz@>ge2ZS9+iOTgewAmoMbjR5DhoA~7 zYx3Ji{L0hIEfn4B2R+(dXnyKpGlPb4&Doym0D@3% z;B=qUiNQe1A3^nNTi0(1_$)xd&pQHr?!Kp$x3$YoZ#HOXu*VdGga%aTqQrbw=~}RJ zn_5{x@9L1~w|01PA7>$t@Q+ekp_EcxDqvS_SWQCv|eqU{5n;oF(5jg+hed zoO&kx;UB=!PMw|?lj*93>NYnI3a6BqUs@gsLDMYWb>Q_47CFH%7&C6P)99Y~!RB1F z*3(g$Cb#W!p&&mn*Stah>ef@%s`F)&siJJ71BQGW>2j=FE1w&uL`Do`%#2MrjY+9L zIlV`H6A=94{K1ah{n3#E_%FngT%uY{Ba}96Hc{mhdU5+~!4T96>0-*9r!sh$GcTHC z&n@XS4bGpP#3zO`xllGlpaS8&v%Bd1QQBzPxajB5^O_duXh#YM)6^5&K{dKc| zCPoj-TnX4+{Mak(_m&G6{fA-95BiJrW1n<-6fHMCei1H-bK>w$X7s4&wrh-ptw>tY zYrz9p2aCx9C2T!V|2eNgb$8B*R~b9OzA5R|^l2@{_@Nu^sw$f;7px>&HwxDTud3kO zMid0B!rO8R?9vQx6MV}+qTmSB0mRkG$^EbayQsTYG8%Q|zC6vugPw5GeVC@3Ax3Et zcz|&Qa(MM?UBQ)=&W_X60*j>Mb<8myLwN90!@z=1X-rz_Ptug(#cmXy%cz*Rou}}$ zCK71I^>dbJvOV|&w}c0MzTN_X)*awxaz3f!-W#>R=+_V$p}{DXOYF$JJ>j-)#v+sJ zx?ifQMQqf{0GsW+Dr#()}nxlOxsL@3a8u}E`!PJ{3T=H21fgq{0`McF2P#Xy)#H(hblN| zq_Mykz=+e|VCWNw7(-3OQ$@@kdBPCjw)$gk|Daae-=f0`P5H#C^Uuzm=AKv(nmr4S z$eL@;G{cdW-%5>hrx6D^2?GW4w@}<2pNa9{9=0-aktpeRmbI*L86*OQp*W#K4 zDx|-6t83I-{J;r=>@a~sdsG1f0x%Svw4CYf`B1Z%bL)px+=wqMMbo!Mhw;m46jYc* z7K@~FYe%e}rpbo+To+ZJx01B%0(*6~t-T&?n&tU6>rZ6?xT9my>aQ=(E^5wp{?c9A zx3u3m+1U5qO0}f@B;lr1JVDkFSg~dokJ8}GYaBYnAY8@oM_*1bq}tIT4-*|qweE6z zP+yK_IBZt2+-Ib=o$1C*xSm8SNu%>207QWSa%GLEn&zT0+*awzw5z?gSE|<(I*0Xh zP_#GT9?&n(Xgv(x2%}Ffr}ba!Z^MP20GiR6%6q0PBT69oPp+eN(b$tCaF~9M1EqTA z%2dE?P(QvZ8`ETBikw{b)_Ja<8Z2)k81f~n2P|?WJJ2v98Zcw%G88(g#B?>I9PAKl z@y`402l3mFV)4>R9$Qn~7E?6l8Rg52Dmw&erQ@kQrBA72Ph^)omA62k!lONQ_+A3s zunj6Zj*NaBMdp};!5`83cO))u1FjQ4hL4cBC%#~yvgD)-QSPWe7NDM5j*;&Q`6q-( zH%FYuqL&dTt@pVP99a|-60O)P_F%3|5e!zjf9k`TUdnBn)hsmw;c&#s@R-ZS-iq*H)zk@7^STUD z#Lx$q%vfqtk?~t@76*z&EEMfoIKLZv}zBtov|j`-CVpS<34Y|fOxbKjP@ zs-^t9ZhVfO3qhP3^sigbOAVy?#+ACKed)~MzS!prPzh2#1%Ii2^syKux8+hhUyfwW z5(juoM)&YZZdTBf7LlY4XusLpR@Ym*b9hCRg)wq2Jd139fmp182>x$|O8>;`{C|oO z`sWACOyBqdPS)>a`fMyr46JNS94zerFM@@>bN~M*Scv@_ckrKppMQs8?A)xJod0qO z{%3r_PfIf+CuXMqpbP$G6#RE|0sDXCVBZLU|9}tvpU?&WcN~Eb^S``-e?SfYqli&N zi0J!lh!}qw{b&16!ha!_|D)+Qe&O4Y`9G0NLahHsGbRSMe?7AO%L4c&IQ&aI5N9T0 z|Gsknk^&eNja>eTD*DIOf4u&0X#w%?3~?_i_q zRD%EO(EoUKc5yN_vW4-;>gtx6ahtHk=lb#;VwHvXrS~*Zwf|Q33%n!xFWU^XM zJcQr5F8=j)xMz&s{^aFiiJgjo;DRvod0IZDH)Na;74>rWBzSvdFL-kIbo>!iKkeN(UYI4k&xeL+*rM|0dW98$D*9ufR5>y^r^UncrA$`GvL5=go5N z*WI0$a$CdsXeG*(Gm}Y5eEO z>06M9pxSd%?@QJ=Vd-$z*)o<7|loe+I{k7sR7@yDle1q5b@@;SVgSdHf><{Z^?x;`n zd#x|H*D4?1l&)o*o8q8*h2>MUOXIy*9WY;BX~d~EEB-KuEcmYV>onqKIGJNqsOT6UV26zef}$A{}Z^I?gsQtgz;deG>ztG z^X+DV{!MOG8rSXO#LtcG+B6!{;`dpZx8>tvr$^ITRa5N87gC>Q3dTUDJRL)12)%`BbJ*#SYh9{8_+l$I| zZX0zUmycPpVP29Mi=%eUxz!xORsI_28F;27tRI;>?{VQfD|TgiH@v?5?h?!Vsqi7! zUSG6il~5j4OohAuaX5nX0QXyc*nT{pM!zl6RP1EW!k{z!mB!TTWFqZ-(HR>r&wI*D zgXXvB6>Kd_1s3TRDL|oEphIB2XMFZ4RZ#8VRg~J!;B~FhubE%eD|vcqUQOV~j9gEY zq^X{(&k;Q>E4-(QWa+c>>v+R^&!AqaDP(5#}Xf^4}MN$WE9FpE-x%k%gJA@)&q&@_J}V& zP2a{$Xsa1Gs;>fG_q6VtJ7mRjQ|G;};ZnFG8nsnQJTQG8=wupN)GH$2mNmWI+ubhe zBP&D+EMu-1e1kn|8gPk1m!2O)#3>R&leoQF5aQbyKr-DaZf5j1{H! zcuCz^H>E%h%DCyxyE7Vhx7a}WXj7yl_IM?Lr;1zsRN^b`>9kSS3cMYDhLTA&JMfHe zJ+GypMKRWT(AmZ}UL7~x0gc)wWejp3Inh|RDOB!i=<%Z7qpPBS4QShs+SwdRNUolD z4+AmvT&$oJlWV9tutF58rj{Vv?jDDnwms`Xx;gcBum7Hj&L+QrD`}_|}(aFfmQu_5k4aRWOhd)SB9)4re^X{1S-aE{# z;?|~v<7t@t^%|?Mu0*++_KXxl3?0SF45{UJ50L6k7afewi3bTUpADseftpP<{UOmZ z5QdEi(n4AxOM^Z{*+;n=_T6x442-GEAQDRHDRD*;&Q|kqD7=AqnTXOjmDoqUIHS8aYrl*P*p%x8u6V=a9S$DP6ws3rf3JPG#|A|a+9ny>-1GPYQ_&#G%Acv z=6Gn1+6QeE;YkP!5#=FML$u?k7$vrF<^jeN3+BmJb%%Bx5K-wNQuLz&n1!Z|2?K>J zR%HTaN!%wo=-$LuLXS1)0b6mpZs}IQooH_Ir7EJ$-#$LlGrH8&+da^uwBwJ=?W3&Q z`v&qb052Is=jcgSqVzUZBPQAm4zy+9tCiU1^dn(9LhRwXaE+QqDFd~N?BSYjwgrj& z$GQ%Zs_i|_uMTu&5b1%DLx`Rs=0;ZW28pX@HZ**&^ZmhYp*igFSGL+n+Y-LhIhbDs znHWee=x?R=I+d?P72w?MDzs=(2U#V-@B_0i%IKl8DT+xQe0&tdY1_dlgOffH+wqGS zM=%m1A125m?AgX1IMH1LsG02aYVskKLX46*R}C)e>@Nk7Wi$59o=zc+f5LM{hvXwF zLEEz+Qy7Q+XjwaO$wHH0 zPPvcoI;NwD5;6@A06G<+9Vn-%uDN6(onj+5WwKy%nDODVVhX@h_C?w7N6UGJOPVbl zcw`|P0D!W+&xCy&_4z-_&hq;!CP}vQ0eDsDuR&c=`*U)T#*{~?ek$!A1glL%uDKt`vXd_EK^Gy#n=3@u&^9fPRnjwge4&%g@$C)C|hBc zLRD^=NyZ+8CBaiVz?9S(#rEM*p~n#h(t}YwM(COR8Qx}}6>UH+2$fjo*k+j1%4lL& zb^TmXLq&2}4nk$1SVoR}9gMDxL>**YbOgZtf>HjE5zSk!5#lvzjR1;;_>Oq5Uv zb&FC;?}W-=GIR80a`{Ia>G%gq26WreU`AtUBK}TyG9G zrDL3W5?bJGh{;tt!hFF}%gDE(&e1cRbXaO40jR`JhysY_!B+7}?y@VqDFfK~I7C;@ z$Mh(-mhG0@eFsH{8oFG#x$I-nNI7JvRT?AW{@shHeP5u*Q7TxLITH}!Rod=q8 z1}QSa1|{J2GJA@*)r0e87gj=c#8UY0bj!h6y09X6T{gGuHQ&$`Nj5m#>2OP6cjeXg z|61qC z4Wo2YBO1}1XAJLjr`LeI6%wVT(O7qM$;0(Z_hz5(@9R!}V$)rcVEK;jQ_4aFQ6E_F zw~oew8{dt5mX?fo@*Z98u#$8_P(vTUY`5xzCs#o*7+fG47!aFV9={f=!NHMFHoDc5 zg(pd)ri-0N{>y6>k7#~6*gh)<4_dRg$0S*tfdQZk5v-T%DYZ2E!^My(kcB)SxWZpA z|4xJbeGP?jFiEGDX&l7MLP9_-PNh^}ypiYoLz}5iuY?4q?9n{a%F)MnqZDDU3lBcc zoSsP*0!N3i9HAqPqz^fa)0I^0C=3ocg!M0^2kO4P!Ns4GCy~~P(vMy{q5rm$Vb?c~ zB`qNx{zdr0GEz@;NLpL@-Hu9>fq$OwTwjZqfy4Eh#GKvJb|qAXBwknnzi`Ybi6=iS zw*M70;+9@NZEIuG78%suqbbn0$QREDk{^k~cVys3$77nUb1&c=GilB8K{ zFl13~BveAQXU0yy^x@~@T*&{VfcNh!&E3rNa>`U2CM_J*plDJ?gmV~xQ(yWWmD9~QgkYL3 zW+Hc-{R_(xGEUls=)}@ad^%2@yeR@6Awon2aD=|-373zim=3(LuxUaqslg#%q<2$R zS!l^0@rwLiJ1GN<-CDEh!cq5@bw8oYwXBgf7n%7V9960+pnqre1`eIbqKKL4*@Ev< zUrC_~+3)a)(>ROBPp&0oVQ(9qO=I9hdZs)F4;tV@vDt&R6G5xB@oLJ&4?;~Vp4?js=hrpci7c{m)+7Gs_z!?Sh`>vx5%gJJzvOQB?!MY6dx@1m2u@3o- z-^R{P9}wmS%(h4`Pn}fR9IP#|gs|@?&&M!vJ|e3vAoS@cXQsF5&OdR5pX;#O`WfPb30l>dOe>ZaK-%|8DPSY()mCMVe%c) zaY4o3unZAa`MZji0|a3b!t~*I8dNzC;X)Z-D@eKcL5v}4668NN9880~2Z-}gfM9f3 zOtXu1u@c+kIhaELYl_VVW?sOC4m z@2Npc`z@y~$~;J%mR;T^`~`^PNONf104X#54r`IwfFW=?MtrhdH{J`&6Y{)G2siBw z-obZUVr*qnKc6)olb`Xn!j{Lf`0yj1Df2Bnj{R+E6aujRE-^Y(t`R38OTD*0!VsPq zHjK$$rg>!?&+9m^0y5X#b!Gg+TT3ua{Nt4wF1!*WMOeiS6Q-oriHmHR!R2P3Tk4s# zB)HCnX#1@OoXXP?E3fKGyYD(^zmH_AnP{E0QuRECJB|dMQ?T4}A-L^(7qeH+7HV+9 zTOvH{92lQs0GAowgwB#+J={R;HTGGNmk}3#I-DNNq)z5Y`^8#p~lN&Az*#N2m zf5B1WxFq8Ws@Xa3gM<=Tr$zoPn#p`)khVMqJfQ^?2o zWxIZNEiMZ$DXv3+c5C}>NYid!4lN;Ta^6T7nssY+hD2uZaS6$Ns8fLFwX)z3$oHV0 z2dsNbB<%a@bMt+-We~b~FJlM8v-4^}&-HA|UH6$d@i2ck%Q?H9VglRrRS^9~k2<8| z&m?iO;Ioib0z+r9eucE^&$Gj12<+4CM&pqK+GQaf#A*;s!t7(%{;Xb1xGG{7_+M$S ztNn>TD9wS&nzQjGRb@qG9E`8^R3qZBR|IzuKT`|X$iyAGO?lcxprxm%U$8z~W{PZQ z^!)8@&KWJqa~fEEE&A;f_qt%R@aFhOmDYX-*qX5cIZ>6pv_Gj6eBnj_#FN0J)MJPu zB&ZM*lC3`damPZgt>oHwHqOZ(OxL{$RRzgoa7sA;?q=9H&eOLr4;(~g zp+)@C#!vp)L0!);-zUM;SOr_?55&}aLbkudd4M-XNFG3DX77Vd&Wx)79%a142~frk zC#l>pI{dCp)+_fzsLZuW0H=8-R4R>dOMTKy!@_wg7mu0}aBOh|FL+}0c4{ zE}V`k(46m{tt5BwYm6fIkj*%wK+|_f2@WW-6{R(5WYV9|Sb8NgU?+fQCrp=oRM>Ew z;MP>0G?^6`UWps|yQ(ju0;4$vh)F+C#FV2rL@%v&ezzqt&!M&`ccf8b zRilf6&)ZXnpb~>kK(yTF-suja-t?o`@@a+?a_M*G2jJMgsit}PKfckGs;t~id;P_;rkrMX||ykG&9U>e{tW0r-vb~C`a z{h`vzoRrG$auRW&3Du?pY4@a&=F{c69v6XY#Q3;?)bl2wNJ&DY*UkSRGvn`oY^5^- zI|$Bnq7WTP1Lb{j#k9GqIa6@rC3K=VNY7hG=HHz7qmdX zrG6BR+_f<-XB$o%y@yQuC`J?QcvG@UCEF-<`po4Or6*zvd4tM6bmD1VV$sfVda;3I-Q?DL<9|nAEV>N}aU}_hd0p{F;<8q*` zFHe|+OSdk&P5Vg&bg*~EcDRK@f?nP@Wc=E@ctX^h3TN)qD@#IDbAbVkRpN!Y)o2?l zN)FHqOE0ohJDuZ*+LWy_{IhTfwPia3QN*92yw(G={Q*p7c8l>&rx=ZA5?weo=F5#^ z^qO$`&`4xY^wd@)USq4W4i74czJYh~JcIbtEQ;+z&VG>;!HE&pcNDAqJ!zhMO(KI(Ev}_Z1tR(y>%mS`lklKkmGo9ndL$ZCx zoHz5R-k+Qi>5eEPV$ecsJcBhn3BCeO!xRnhV1fxn*h)|$gF`N1{ykiJ0Yv-nw_M*Q zn;*aZJZEC^-uEW{c*cZEKXSqFqH{$&=IA|5q?-GmK(;!Aajj* zfZ2ipYA`51dbjIxp1I=Cmjbn5N8Rr}W+Qqr=lwp<`C+-HjG6;q;Tyq=ajas-HxYmI zUk9%{NL*_FCX4?k)x4{&IlRY&R3h!0%uliP@qMlV}6wyEuc9k-*^e+*tdz%E&(%a8TUq||l<{+bb z_eO?X1`Fa|wc)5@l32N0m%oWAj%G}JHSF&-c=2q3Mz#oId>A}5Ou)gCQ>-N-7)lKyahT2jYtuO@*6N1?R5DVpKjmRjs{=tevSWO_yJp(6LaPU zHn2PyIAGyUgn1@ROE8HR4@`^t18*vW9_8}h5F$*x47PT|jy>PIT{5;c0lZ1eWyVX9 zY5bb1qm5$Ubg;fmnIfD7$0wTgh=uer3~Vp6l6e9f5&cKC#(pcjdHf!A{DF727S+^7 zA8OAum+Ut=N16|nIkt*4Lq+fhWP_cP;A!ohdaJZ?4O`BPHgX3Pdh`f)L1Tf;)@A=q z9C;?J3jUm4pRpze5Y*PtY~bH%AdzeF1;bH|ZN@9`?G}yB6mWaUdp2Y7HjW_o;JCjB zkvX~3XlB2)Pwkgs?a8;p(nfYF;QQjmPcIJEA`(plYn><#)mXXmrR`6dA ztRne1{Vxn^PWnEI*XM9_wMOByk@yX;OYG^U(@N>)rJOicXY@yKBy$@q9tsI#DFMH1 z><@f-twQVD*C%EOBRd*W2y4KZ;`WGINClUnVipuq`vC><&?j?n&yOipo@>?W@!!om9iXI9F z!;qqP6GH@sJHMYhXM+Mpq~qYu{LA|zP^F+|ypaV=)i6G?jf0Zm=M82!E-b*f38K(s zsbz2n;fI}03nk=}A<{Gs(aP2zQq_doajOq3n|>~!Fy+fX)YUu+lNuw27>_L;K^xS> z&)}ZgEw>_dvH+<|QjFl+9h^2`K=@(I`cKEc*XqH@R;-Rjv>a*vS#z_1GhQ%=o2IPZ zq(ToOB=}isAe*N(No(ID=eYT}kl8?ws7RBXwN64KV6xqw#@xCJwTNfoVh@7B}!^q2nU%}9oy1#mQ}pxI;Z@fxfL zY-Y&(h+#L@jeL#f7uOv=u9>lvFNziE!@T5BTu!Hh0>fw|@1URy!NH_m(Cx_hH)9IM z@iCKMN55x87XiDR5ibhgc{}9|AD8Zm`(z9CU$PCrhqc*;MSVv{`l*q_vg)7|w)Y%8 z&)gFGDA#G7xOqdc1AtBatYKW1&ISH$^j~;YDLBUov=DChW`K-c_Y*$H60my?g=-nO}SXAm-`s zo*=LtOX_q3+*}C21{&u;H+I0SK-{t!4CVgL{#`{rHz<&p0ksTUO1vHsL4`l)?Y71a zuiBz&)FU+a!{?8sIe+F38R5S+rn*H_Ayqm2cn$yMxG*Z|t1p%e{kX_*k4Q=bJ~MH3 z6{OBhm6}gZu{lc<`zrujYCT>Rm^>&bkL3rR5IfR@T%Au279N)Vs%9vZ(`4)xB8tig z@NQ6LNLRFwEglk>$QtV^4~ah%uFvCL0|FP%2*iy7f?_{4U8;5OjVzTRLo<>+*0n{xwZkxHn`*2ha%10g~&%F}$Ta|G@wZBZfc1Xm8JAAvPqEheP1=>TfLb$Tnd(Qpi=J`x(b@ zMbKM@;Ad{T`a38a`>etX9fbWd$@i*_85dj#BytQ`dHz5)d>86U5JoXo6Cg|BEjTeG zq3pKsK+dRrUAQv1+Tlxh>>(dFO|f6W>49W6tjsvb<(i#LW68XM=)E+Ta8FV|T?HLb z>X|dVKhz`q#b+dZfttC-6$J-QxPUY&W06SI+xK0W zRnK>fY?#kyI9IUdYs-B=DT7MnQ;8I+fXpCdFjq#PBHWIhmq84+C`eVceK9E`<+k$| z)8pFCbsK;qH`$l^1Mi_WA*8?<{P4E(w}_%e{=+mK+1ir;&hT&=Q_J87=BjWHen+Au0>k80q9Ks9s zKmRGAWNeRp@B6%PT>Om*-RB*-NDM)@fcE3zC+aq)G}3i(hU4g9B)El#@qiEk4PJ*h zjSXnXFDUlIn42I?!GNRYzZwVn_W87|b9(Rx*w3oiu0=FYRtPHCG4f@fvm$?>c7?0M zcgd?nhh${p$935J^O3;YY2x+D0!4OVZiCCsGCMIl{Na?kf<73cg&d@(`^Q0W8H@hZ zMtYiPnNoELLD{}lgY+n_1m$71upa0`Ef`IhqG)FwxQc{VrzlrPk4;4T ztNl@XOD4>2AR~jhnQE?}NoL*+wiOpcpUC;~86MAnpidEU!p2>_cBG|V95G=FzLO6J z3+;i1aKe>uQ%UP3W`2`~>G^x?#QRQx>shJj(RGPqgGLcPQ0Pr zLnzZ}gj`?D_#?BVD=9@J>=!p5V}-e?OK78bW&*(*;N5O+RCvwso$Li-<`-yLe($6D5 zwW11tGOFlMS_-wrEo40Wy;U0iC`iif&bMKj6%=ks1i zi=4Dvyz;5XJ$1JVsS`hAe4cf>@I+C|z*Yt}(hOz503z;2uQ8Sl0|C;>r-kvb4E3z1kch_#wZ3iq=nYIxyr& zpY6}Hm>seCG)sOLze6sz*i_)f@))OCS#v0@Z(Zw`shLoUZ*^ab&wJ^<;qUsVW4`4R34!KqXPl4j=6S23E*Pto;Y&V_-=Rv^pX<6xe z;7z~`#23^ca^zWP$~JX)6P%X;Gt0g3ObR>>r~^1unUVJah&BTYb0u^D&4&Xp?VTF@M#^IzGsAn^47AQ23jakU@n*301;OSvB zXpy3WrCDXZDLq)uR=F?(1qdc7E<-i(VGO}A1$Aza2Zj+;zsVY^4{R;oH7ZpBTtUb zT@JxFuMX=&NdyyEcvJ(4Zhd6!35zLk{NP?b8-3Tv352@64$zv)okIxEBWA6d37kV# z+s@VD6h+`otOje0j7HefH4}sq8IY_Lo*WQ?F$p@5+j2h4ONU_zKP!8nz8RTNf-n1< z%PcTB!DNWP$KMT%Pbjdio26-yA?o?OGfFYTNdkdDK-DydH))2PugZ$RZFHx%YRWiB zpi-p60?mPixg&cP$SISN7)P=#*gLs8>1h|Kxj=IO5<3!6Uw+yirBw61yXJ7!u>f$g?i&g_K)$T8QiEZSnfg%sjmzBz!QV(<{qFDP`r{J^a z^P92{XOryhBR&j&h-|gZ+)-o%1XYbJ}s}l2B*;q@R+7i>xR)-UbFl$lT zGLt)TCJuVJE^&Pao=t5skeODGyqr}NzAV0qJf7+R0DSd%@_vGON=ys+{Q^&D&AM&5 zpaQR`vbBq&S3XZ3QZQlF!eDmfEd>*n9Koc3b(&N79r7xfVrNBFBCo}D8Aw!>9Jv__ zVIW;C8h)j{k0h-HM?xj2F_O9#>}K%``{&64YYc*eq^`~xtE7vWNt{SA3)}%M3|%6t_t+K@NA|LUPQXyQuVFK z`x)qc3t)_s0NO|g49BS$Ust3L#`whwN+R8GDXIk{Id*ztecouT1Di1%Ex9U@R@AwV ziK zpv=G{o%Q}poL1zWR<`p*NM_`zMqpU3KHSiO*IMK~C;AY923s6L*?yhhB(P>@Ew(ip z;=r;E%Glhd4Rcw!5nq-ACEGZc#2a!g^W!*|^jmp_QCdv-B?(8|dFO0Y=1wYpsd-g= zDabXxJPdObD9a&lXhd?D&re@Xk&9(+BniKa=!iRm8Ir{3mp>h1kP54coo-#j(QRaM z89O~Y*dU-NNXI||C9X;aOa@aBu zAL#3q9$PL}B;R+sdks`$%RJff5vK<7izkzl=_5`(#78JE?tO%wx15MngLCz3NLr4p z{o?jl`P{^lhF$;&Rg2?dYV+O!2uXuAkFHnfH9+jj_|}^Mp=uDIQ0~195UL)Fm0hv- z0YcUC0%UdeRte~Efs)U6X9bbVcH`_rBL)EGTQ~CH(6|9TIGW|vW21*%m3+Uv8$)b0 zf_AWmMiS`f0@LwsJYl^9`nyqu;$S)vld-V{AoFr8@U=oC3^X(8n>nb^Hv?VjTC(mN z-em(GXGx5Z#;zO-4qUPR455n$Tu3<_$)Oy&exOf`0jxrg5O{Lp-zY#abQD1wn{9N>P{dqKGcvTr(w_l5xwP)wN~zM+$hCes`FT|?g)#r6<9 z8Jg4}^q3iL3>|F{OOy|^O?>*_;M@nyPQ|xb4)6f8^7sgyb(%8#v)(E6;lXJ-CrjBv z*B+dLLsqkjy~mHz6QT_XeUA`hS*VNrgeFPaKd)6TZttj6)Kt-B^!7_dbCQ#Oyf0i&d}C+?rJXqBAlBAS-ZpB3mNk*GGBlY&c?e3{u$e+jDtTRzG5Zl3SfO5G8p(BN zccs36V`|@fW9jNE++v}T7DC^XPI~CNh4jg=%^rGmA;{7)6Aj+b3(kOSyQxf=-u(;b z;FLX>O>C{gPDd~G+r6(CV2m=pei`pUwv?TSG#1{kY--UBZv@`k44{`)s5|e12I7gz zQUmXph7+2pGjFao;UyK_Z=n$z643M|Len;0*qR0?LyNbr#|JseLq|B&@DwI1WBWL` zL9)D9>F4d{;H=C3<~1&~r$hV%!3h0LZ)S(x49FMdKh+Y?y4C+H+Wm<^~SH3%bueKL(=Dvbw+b{zDi??rvN{q4}R;7aFq$vH2f- zDmhilelDb~i1(@PTUc~R;SHlK3*G;KY^s@LJ+b>Ac23%QeYorXX9<98GR658K^Ka= zXmvvSKV^LSxTAp+-~SthxIm0NjRo+~%eWGQX+cwz zZms)*A=1VZjXqOs{|AG(m@IM=r+mLwKp5;HE{eMlc^<4M5E*T!`ZTrZga+_gei~-f zUd_rwI+$_v^jd{X!oldnFjvC$Li4``EHnDff1b_%K#E`4RU$P11FBhk2;IT4`5&yO zT&wrvTuay^lNaFF{7*bZv3~3c_-Oto=aQZ#;e2J#JgHrdz5kGQSxnT&-hc3S#ZHya zyZ2v3$H)2f3xJf8i^R9ye{jbddyU23e*;?G8Y_JE{@Zfz(GxcG{zIKWAM8ySdjFx+ zezzkIz5hlZ#Gl39f2c?k7qC8kFa)ZLg{q#t|JtnSh;Q#d1m!y$zs25vc=yI{6MO$5 zx>w0tA3ROXp%HEr+)|`!7yIp954LHEDdTa$-Bp&g#*RtBIfi>D)+@hUY0wd(S6zNO z-U#W`%ur}>(~%7ZpmIH(dQd^gob5v5R{(`8EsGe2D+AySby>O~Trrr-wis8qk|<o0x?(-qY$M*k6ze;z4NSPN!E(x* zFo+iJcYrh?+Q8rS`yfEn;%?Z@$?uQoi@1%pJl;1U7blQ`lW;vnIps9SbGXd{(cL#Q z-tqDa0Eei}I_LRi8ReyAce~X4908ZaOt>-Ir z24mkp91Lh}$7y=szrji--f~0VKSYet5|!h7<3B*pW!!h;KLnDCRnW%9e?#vWtk#N+ z|1?lNk~Qq}#(yZL70b<^4UPZK^goY4jw*AMZ4LFj@1H8!ipOK$KUDOuW__SS-#?&p z&})~^d*8o-9XDAk7yJI`-249FUW>F0Ly6w^57?sJ zNWT;t|KY5~0Wd$0n4UtHa8fc<>5cy;LY~Fi9EQe!157`~LLQ;>A6k4K_*aNYLM}@- zolvEPFfqL7fXz8P;;DCgQ9TE_@lnNH0r<(u-*~Dv1VwX;{dvS+Pa{tYY~FaS;<|8d z=u3Hg_t_}a))>vh(;6fZBRfxrKMQB$d6!WTzC*Aa@`|S!<-W0XZR9C84<=4L7LPy<^5o_72;BqYC;z!KapIwV$VW0< zKu8S~^?s_QFFlo@(?q0Swd|<}JTGny*Z&5F^)_QdYTJg3!T5L9p1@`>DL;BwS^qo`H1WE__LgwYC$Ze{p!up z>GN_+;YReFp33vKjp#W*1(fcS8}OVV@aV zZO&w=Q_p#-d}M1gc~hhiW2fv_M)ge7GO9NNt2kM)K#YZY#uhP8YzZd&Ji`k)c+GBC zK+6a#K36sJa?8aNb-b?7`c;~(9fzSn z4AMG&TSu+vLhh6X z?YiJ7&cy&|7fPj{PrkOb?7PS-{ZY{$L2?e%(hk$|3i}1@f@aoi)?&(mV47wTpNW8c z2aZ9W_i5ASKr_`as-OGk0Zc;{2Ya93VF$9IK0$nr%nmjVe1jYvqltfXpd7}@xboFc z#MS9A;>fbqlf&?I7Y=s&F}1;5#XNsvry*?9;)L5AN_fNNg;-nsRv|g*i*b!t8lD753DM*vq1~a zX1O2ES?zKTa6G4ZkhVxLqA5C+@4#F6+Hu}sV` zuMYdgFjbbUfs-#xSo50ov}1HwF$#h*+JPT+yevS6#1&tVGsZ!! z1@Z0_XUoKOmIK>P;o$KVP3ndtai3vgb_e)QH3oXHba z>$L{@X~9ALs!h;w)3Q_fl^RXnkazKgtU&12%wQ+VnO$fFy~ain402sy0ne$(!G0D8#0zz-en-tk zvECn{-bY8N*7!G+2Ptl%&u?x2Yz3Op^ztKJ`KgpwwUVxpWC+nv-K1*-){%unw;Br1 z%bsLdEfi1b$3hT+KYNRIUxdu#(Oqi(BQ0WG_>`K;bg~B)u&!)+v#tZ52_!cY6 zrQ?NnDwprZVy;`Kr$`(m*f^V8)(5#5aH2{=86e~cRntm&*&yC(g4$r1e64F8#m16$ zFq9?Y`KE-YD!*ln`c**s%5ue9_IRu>o8)?#B;@E{z_I|Zs)XD+D|!W{ZgVkk^;xi~ z&(=*6no!>fx%>w6E1@1#-$|CbJ%7tb588>J%F9h5SIf>aS1(V+Cj`5AHMy0u@)IUz zD?<6Jt^~A2QyqA@>;p{|%WIQ5i&i@s%5hUx-E-x8^{#@xl2yorVqYYmPGM=N4F>Pg zG?ZejB}N{=+CPTMV@Q*@7OWWdO68>BVxuSumCYEvj&2pwUI`5{*SZPYjg`~#Jo2wB z9`{0PaJ(iK9K@<@Tr$wd^vJD0Rc0vU`l84!Pj>L-lq+lK%&Y?hG z*IBN_!-abOq`_FGV?y;m9+zAEc#{Rt5Lw%wz%77ZZPu_jauHx9pg9bA0i3%)bDYDd zngZ7Wo(DY~djUE(LV`EWJXoYsNP2^2onfS2kk6Tug>Z5@Sg91X7a(`c|V|j3g+U>|+H^e&jd9O2W0m8bAd; z7Hm8a&#CGIe@j|QNNj{Dm+mD^H5L1?#vFDSJuHCx<325FO#I z5OF8Lk`p6Ao{CY`1tKN9?XZ%uNW5g@^Q#1+Cae)Ta%e3Av6E^aM~=!b4-|eDzS}nO zp^Zw)LToKz1Iv_X4G-Ax&Pruggbm#SixtL^dmNd+0_hb94DYrLBw4zDwk?K0s)c=m zOp>ZCkZ{@OBD+l>?Mm8byuLZU5EZMd^cN);sUa*YT!Rhnw6hSv%?CVBD-DE&f5h2L^eFc z7{M{l=bb$-X@_l+vP8B$AQ+~xH%E59wA3Bp9tv!JcpmNgIKH$0f$m?d1bfCgSs)x1 zVDumj)PhNiI*qR?P!XElv<`VrU5Lda?`Qq@oazvZEg>AIa;HWFz5^3Jl!=E*5l06a z?daPE>P0M)G|71#sT$8Bc~d(+7IUD2w0V;F%9$gvrdBnovp_TnC08T!RNOLpTaAcMB z&y!>~!5?4Vfx{QYRm0AW$oUIU=iDq;h#bLI7De`5rxXU(30YM>?hM4b zM6AnBAS~A8h0(AFeq&rcWW}?oRp3L;$`CNv3oP&_V_tg>YaZx)%lP2i8b(Hb=JR~{ zJo%h4zL-?Doe2ETSWvAPF?ryN#(S?~jcS};I)fV$yZ!TIqsH5|!7OHEuLiP9mPL8D z{loNS%aEKnuw!GKa#-yHn>Jpn_ak@qZCkMRyUy0FOEWcVH|Xr%n18m;YJm(KOQc!# zdZZ4|%Fn>$L0}rk$`PO12-KaJ94mZxCpbSu=6F7dD)kMnTy2g zSoygcr+6S@$N1vivKvq!ZpUID#hUv$&pS5Ov|j6x7oID5SkpqMk;iMvm4g)OPCAd# z5lA9EyK~fIHgdNqoQ-qZXD$~KPX`WsY^-kN7?CsI>~wv1{X=j-wh%k91WtaW7k4?F z{LbNz*BvQYrvaz@M=&9u#torG0Bm?=(MjwmfMMi3<|w!S048Zor$Vy=N|QB1@a6{m zP}W;6G()iCgxuSqc>`@_kr`)6kp&yHPTxEJiBSVEdK~#_?UAb%u(Cx^Xa#}{@$Ssk$JQY*=koeov7yxnQpCBN z74*&|Vz#mI*z6`WGRZgtClM;K@k!QdgwqPp`=lV=v=+qT({n z_};hWan^)BFIH{L$Gt5KZ1QLYJFtP>sF-6<9&Cx;Ne2~M_+ZN|Kx0(yEq^c$8l`de z-XaKFPRS?C;w?Jo{LkL}QD46~n;{6?`eSylopcDnICX6CYU zC4{zTx#_~^@e|sl!C92c(6^R<8R3$gzqS0sIE6+hc5TDso8{KA$y-)}J9Yw(P2qr% zUzK!cv58zpWrpaG&EmZ298fP>9rJlMsmrL|>92-=N~*A1c{lt+Kpf?<{84Y1r+)Dw zA6aa$r*(q{oQw_mU`SESMY%Wd%gWlvduo&y%>!0zhxohXKEAqmqVx5d4`3#_b?b-d z^GEPlJYeg{=kHtLU`=M&gLQX($&Rcxcebr6|)f)Kux5DtNF>W5eEgR}UYtHb z*i=Om=GH$dY(h}ih>yiiNMX~8e2->LjKU@_ni;nq(!nMa&DmNrv|vIYm!-hISi$5J zV82c?q+p_ocCSd^+L#uELAKp=f(fi>Mvu(r(_#Y9)SEfU!M-9-As1cRu3(QVoI;}n zi1xdzptfM|i>9KjeQ!7)idO4cJH&9FAk6}*-TgX$%2ZmYbmZr}vhnGJhw}~N$Sm0{ zCY*=(UAYv}miqAtco_P*&(~@D_`2bA#uZO?sGZt=nqz6Aam)Mk$8_*f>dRXwnvv%Y zjot<3gPtz^<&EIVDJ~_C=it2*Ft3)=m)O0X0$kN@)@RtABRt=Yttk~!)V#UKpvHXjTLjw*mHQj zWJQ~Pm>V9VYDHU?@L=^ATv6PuwQ>z1JIIG&Z(@iK{sP)pWRstWpq4X|8!HA7@ofiR zDTEtQE4doM!7)6El_To5u&9SKiy}Nvc+$h4thpp^BZfP_Y%2sh7}@sVFkW_<{~UwK=3}LI@EI5mQ5NGpAy|#q1tgr$ zdvF_kf1>(!U@@WPY(ox67f)LC)@olzTGJewHw@kUYfE0Y+#})02%NAF_DZ7bfH;i?-w;U^b>Q!Hfw=DAnVsPu+?+ z-`;*FRcc#{n5&Rl#g^EaceR*`MYXqb2z?%zThxZ*rbMwPdSQdWhCe>f#4u1?gV05DFhZGc4WV|7sDBrB0ge24a6Ri?tiricX6RlKJGiX1qE zpB>F0ssU&O9m`e08s<4Lsc6}kL5Bj6DQi*OX_)80C!ENe)W#7fg<&RJheTKv;GSY& z391M%EIFqK3KfVJbJ!MOqaZsNp9jh-YsV70E)f)lay00Y!#IcxZ?66@_56dIgrO#o;pepWGfF5DV z87E6Mj8K3v!;zLxp4fHIVb2(U$;r>@I7~V+Bu7{^jPlxsXb&*#qV1Wg!Kxj#jfzgW zC0n;bM|tD?N#Z@fK;bmX#oF#UhP-H$ffP3pb8bt`u;`9a$F;|JF(abAD6h(av^xSG zYiI6k9rGM9kF%pE1MmfeJD9(VMnw4gFDF<#^=^VqM@&iwcndH9mLJ><}mm@xPC0T3D4M7^pP%!yr zRa3EQ1u3R=oWM}!g2{u${m4&MjH+@I9~`S_Y#dfog{m7(o1ZGHP@`k>XDxfE>Cwei z_qP%tRr2PgI#diX|3<2oSYTv2E}v&Tl8C|m!}dg>-Ji-=V;ym5_lGiav=}{gQ>Wb@ zv{@0`_&n>WwCsGJ0w!rfOL{$+YeY;Y4A{$U%g zQ>`5u{$V<4k9Xyst`S-JeBAr};TtYvD31O9kSH|zoY3wM5e!hZ<#t+<63C1@dQ4`+fHYKpz#pMh6T4fJXF2Qk`#<&Q>jKj=7@ZPW3le}tEK@OEh=v`lrBhKnPUsZU69b#RPGuhqiwJs3+^@=w1J0bXl+TV`JAp{AvbMg37(? zAJBj}qlU>(*FT#LcUI{72NuROcx8%R|7@0A$)W3CQa(&;zZbgx+2R>5(gz)9vmJbF z`lmlD`}W=R5B>^#U@~jmrhn+}AQw8ai-e|srx1m5@A`+L0Zoyac|3Qu%dNcWH{)b}7X>?Vw`=8ZX@+c17|EyqfznFg1XD-F~OG5uY z(B>x#tHu6*N!z2bt}^!jgW6hS!?4i*4{JGtm%+rR{~xAPj2t!g|FdE-4j=meVVs$a z7$Efjd+fQ;{|~RVt=&xQ|CffA>P^xzdH=sy0~h=Mp=zrSqP=4OKh!0OX)uy2Zvd#D zeOq5;ZvYs}Ib#DrlrhP|I8<4u|6c;Da4z<%-T)BwmdxtJ_J4SK8GInN|3i)Ew!ZJN z{U2^Jpt#?k2l0%<;fd;dY)&<6MOAiTpBQr0Iyo3ZyFa!o1O zuX^i0e0p$pkeAO}|Di;GThGhb`VTit(#${j{U8S+Fex|#A0U>H*ke)!2mU~ig*0Q` zk9>p3W$i|u(?CzSHSMsCw(znUf+j;YK7Tck9|Bf~zNI8Z^xl6+tcj(lrzhZP{|7m! zR^Mcd#*8xGZBUNCc?~DLb7i6f`{f-TaT_JjRI_ct|0ZgNVQBw56bR5*2d+I>{--*@_(_ zC+b!dNhPm%;85L)Kwww)$hnG;#B8kPh#ak8y%KX-U%mg7rYV^d8#!RNl06e^9XVr_ zm1@~*1&&$FM+_HfLIWo)#sNaKex4k*pn*blH|KdNZxK4#)^{-wky&1Vc#4ltjJFZ(e_sa6~9O_scIckZm%h~&y(@Xr zaVAvYCrzH6vM=?r)|(uf^o@4<1TtwPn&mX64GiSdAk;)lf>MqiFBbZf(HFXWN-{i;~M(^!3 z;dohe3MeK&wBqQ*P^~vnq#*}|s-hGi547dr=Iq7ji382~Qiwep^8{A(rTNiq9Pmz} zF7km;73EI44)CvRy;t);W9uD8G4Gu2IAC+LW|)Bk9x=LpdJ8&bJPugIo(}W;VVDP0 zSPo%Yoxn&Bwp&oE@_A>lU*N*CBHGA!zqAg8WDS8JAJocX>4NVG;2f@`vEL1<*=^Hp??4{4Xu7_{kPC-b6ST#Z%zRAaDZOf zJ;0k8!26IJpAF;950+N5+PCsv2}^-p^xi^e1&od=E;g$0P7Lr>#qR#l`)K) zJal>hj5-ng6&pjq`9LQFKJJYq(AK3H#xpjam`W&d`dxUVim99|X1hXT3w1s+f$^~s z20#$oDCt7qj0r<(=&9IdV}cE|Tch33mIEaIxOnn;Z{vYpc>wAxlb^O9G7ivudK|{q zfA|Wr$MIIN^`E+9yw}Fof9j3#tc|VzaOW>{6he0sbPR&Zv@wbILIJKC%?UAcZ=3?> z1?;TWMAg{RhvxGwc>y|0$6xac`lKjQAF^ zFf#k!gw}t+0S<=TpS}MI3e~hPUTFRYik(Da&}Z|%xf5?N-Yo~`JNg9SBgE!^3cqG~ zW^Deaj4fPPvH2h1Hf9T3p=r)Gt zL}(hFjK?oF{{t3%u`D|_|C2#v$E(BSO_CJT!T@mW{fAAs+4VCv|HIxfMxfaIZ{hCD zD^zU$2mA{fb$p)9|B#EqRv7|8w-TwfBoFw}47Gw%2vsMz`u1t4cXZ?$}HfyMxu)?p~1r3OX zS?$r=F%3x}{Hhjrd3&`1pcSF%p%)u)&tj>@=h3*W<1K7Ihdyr;$E4BC#C5nwY zz5Z?+IoUDDo3LYG=mChP55st6W1BiSBXhDmBsKwD;9{ukApMig@%|M}01KJ`=FflD z_I~yAFFz8ws=)+{MtzN4`mnE%WkA9z0r>Zqzxe#cfB5x3|J|>C{g=P^`R7;v^aEc2 zB)17~`1x)8c2z4l^5ZjW>c)Bxht-D2BrvC- zLpL{^N`r-JVHd0Cw6}UNp>NwpX%~HfU^lcVaM7#uOB+GDFm72v*94pG|FVZ&v0xt`Ce&te7 zHfI_AP@tE=Zm?f|>r!CEX=LqwZfuzl-QuNK8}b!IH`>NAM>M$I6Lbi}+KUG_9cNpk z8I4Xon3rYY?e`sk4X*pU0h+8fF(wvFjdzR<>uUYj;*~_fq!v&PHyHFBKxH4t_Ztr| z>)G1Rg$oiO?x`@78ZT5vhd<|Mu2^NMJZpc8z*k$^-ha@!DIhTb&J%piopw=uBaw8thO36Cn<2Q1m zsDPBu&z?X_F66aFAvw1e*@`)4PM1 zg7M`1$gkj+5*f5%8~Vn|RJ^UJMu@B_d~3{M)47p2$bpt+c*i4m3Lz4kvW|QoCXK1p zl*~JLWKbCn$yL$9 zvL|e+ZzbcU6MaqnY5}k@i?ZIRtUg~)h{2<{`c`7R-krh}9^S_*MhviI!quype4WZC zZQ0S*D+c|N-VfZP*#5@2t&W5(K0-`f0mSlF{8l%Ft`JjM(hMqj#9hI)2k8_7 z^rv3z%D2~@fokB@Crls5bY95&b}XEWs0w9IoQYclEiIUumtvM$## zpI30OW+HZD{!i~jyfMdgVcF!1;P9SatQxZ!H+gxol#s8@GPsb`1Z{&jo|9tFfmVgx zSfo7UOi`yUMsvSYte_eZUx7irkdlQ5Jgc>14Jq7;?=R->od*VR1s02`V9zI4w1&?o zUG4ejnpix1(%6=+Mz~u(geA{CyIqyteOm)A&xV6)q;K0QA$yKHZ9iROL$WW-M(JGKTo)t0_jRJaGt~4 zDl*fVVfqM%!}EQy*f_%HDmawvsElyCs^NPge*!uW!^o25+7BQSE1^>9ht6mh9dJ!l?%5yvWW{1Z{K4ts6NTxr7x zm~2CQI~jn}QMEP-`z|>K7e6Y;XL)0GZIaez$}zt942#Sp5h~2NTdR`*EygeZZQGVZ$Ax-EjL{Bp!~K?xqNK zGhG1#{**gryeW~RZNh*tN1>m%CAYiM!K6cu8uf1SgJH+Y5{IdCK8|_EN)#hveTyzc zzM(O|rq3P`^?1Bm3(|jzrkZNj;aXo$7QJ5p&bhaP^YMA6qBFA0=-m~ zBlkjtrhJz4bza)AS-mm`tqi!Oao}GW!;JJ&;xCqZ_=>DS3^ilea4Q!pRr4A%j3b8utA4#C%~nF9*elpX4waEmK2*Fl zIOOY;uz7u4(>r@*NoT01Yk-+`E7uM6cTGz@`?q>Mj02iz77u#WAI2#J9mOI+oH#RE z-E1f-)Tl&dkSWw4+T$z?4<(Dw$Gya{X@qjKFfWuu;^WqN#_Y>sTYi%02RICieIQiX*2vr=Q+-7y`tvUtA6d24{9P34@UGKS8{vC>1 zJ0K+6%1c8LECMsbqQJ437V$UOCgb?Auo{^?z{A+L#|yOKORPlzO04Gw zBUmx`V<`XDESm-XVzoGa7IpYXeyYnMPpD7&Jgd>+35{-Db-Z{Tp3ty5m{okGCC$m5w#}(3&wn#u9#=J?hRskBWcw%O>M~ksttmSsgZt^9f** zz&{;cg2O-1(PXL_(MsSe!0crDLLS_&c%#qWbn|uw9Ml$fgHvUOh;x@OneAJy7FQf zdru$~=^7AZzC99-VC}5QT^_hu zu#T5`lab2>yK@bUjC{$z0&M!P~aX z!!6L_U`bW$02x?xx`rE@k@Ps}PFLn3;~xnmJy_GlsyQO5Pgex4y=@=?vfWIkBBv69 z(v;0s0-!j(fQ(Kd@+Nq<>Or zfpp8(u?^!SU0la3pNgDbNHEMpW*a!buom!D-fd>EuZrCHJ=^@fkO|u8e9lCedpZk zNNYDEtqdG};2^z3e}~YoE7K%%*O34ashyOp!%rX#?8^5_imOO42;x($A+jc3K0=%; zwO;9AFVw`5rNATGA!t=o{zi`2mAljk=mMD{piJVG8)>4GFWO|ro5ImPU^z^Xhw-s1 zhcFAjBSU0YUP|i+6c{Bj4*V0&=MqrjB;1`>t4LP~yizeztVnN(bp|hr&0d^76G|KA z@kSa>0J=KZ^FL48&W_5@W{kCg<`ajvoX8|!478wKi3}N%3oN1vzcMPtz&ScVOKlxs zoS_t{xdZWtjHVh0s$`Ro45$MvWtAP+Ba_{J^3o>rdirxR3Dz zdoIRDquw{$F63g5t)Gdr^CB}^Pv3&T<_o@JlrT<{ANF7PUjRCgwfB+*chsCM(xydj zVaR)D942xR<8`}1NFsM}S1xkn3J+YzrZ$?Wz?lqdAv=*)CvYqy7zz7LVrS=MMxwbL zTF}7Z4ATe%I0>Si^Vv3Ndl5uq!|4uEvGYkk_H&@6?&y4YT4V$oYgpK3q^W`P+V;84 z#yPSvd+=@YXPr|U$IL(tpURzs8wwnQai_@HZCWGEXW;loT7C7^UzFfofi(P9fk50W zHNQz99B07y5RN-Rxy{lD)}7G2YvcD}1nW+Wu4iiEP6<5fT`5x;c8a{~SY7f3jkw%- z+M)ZA83l{H?p^Jh(a$>#e7uE3HhJh?%yxQrOEHt*-)!}mJ;?CMlJD&Hed*`2)c_EiN3m|FI9tIS@mu0PZ)2i(_kn z4vM?R(&N~Q04Ic8VY$*m>jF$iJ~`JyXmwyqik%m{GXjP|>vT38@lFbu&a|L;?7U!B zZJ&+|r&EI+^ZK&h?g5{0SZBh}9732LiXpxIC!(b*pa(=x6Ppc4E^Xf|*#>msv>pU>J4 zn4i+Y`bcYZYhvffelY2RjB9-!WdMK*h!?A0J;Jy|3Rw#eduTfETGimh;n zQ0agVJ5oO75~nT#IjmI}&Iwf%6OPL=$ag@316e!RfIT3=0fIq`4HX9@IIMMIu-vOZ zzz-mfuO3qo9}Yv@nRa*r#2ea2>KFkaj=a|<2h;-~-cd`XQm=18J2G*{-_h#T*ycOvDCBf*iD7EdX^k>IFQ z>SUXYNbm+qGzQK>xl>aIVd#Ms0piLFLT5XcQYlGHd6i=!@-Zu8+7Sq@xJh0J0uUVj z9SU;{AASnMGyyyaiE(^54!mxqWnOXCH3GbeJOGVAa=&-fxEl1%TVX(rcP$F035}?6 z@G*1-S^{cZ3nnf)-0STC$3uZy`8?6&M6h!=MKn3&^0iro8_?tf#M>5N3}|u$@wCPA z=UH6{lHzTRRwBxL;KWacwF_wSf%2wo0H}Z_2Sy$lu6NbsP?z7})v?GDK&NFWwpf%| zfbcaGTR@GAyvytf+H=(S#2R1?Rs@Gn?E`%ZM;#nKL9J-ftOyRD3Su<0R{)1&YtKF| z3jBb>f%dDL%QvFKr^1;NamxW6j*R;F;e*PzD9I5M_ z$jBXwj%|3Wu=XNlq`(1mF~C@Q31y?cJ;yw zV|uadeJT%DCt^R8$>VwP$q5e)W%XKbR2a>PW%z38_b^TXFWX01m^jDW=w9Uyu^f_C zweOSwA{W2g;G2O$Ku?V9@hU0D^cdo1EI{C2D=Wl5ptsBgk;uZ5m)Y&|BcZTB{p8-03hD%;PZa1p17}?*SS`#rDD%Vd zf#Kz&v$!R2f@qw*k^L-kh~NM%b$#O;fqWYYN1!MHj<&FeW@JEFnuX^98JSc7qeWbg z@=LseCi?9#%Wx@WV)h zG9htnxQ+vZ%~D{8l^X=c8|VOLp5r@14z7)}7*IGc>X22#=HmoBOP?USkF)rosAxCl zpC7D0n%H&7_+<$~v)0ad--A`CC=U|PtH?rBl*7VEkpgQ`1ww&UfdOI;Kubs6O#VC| z=E`jYYQ-1C{Pnz(E@{%yu-=iQsgbYl$SKp{;3NM*mK4EAk=x7vxq%c&Ko4?h#9}wa}0xK%Ep9svFCU` zgVB}Kx!Cg~pGR)kb7ky-I$zjxmCr^;FksJhoCFH!&jWj|>Ms^W4%l=3TJ2!rFZNtf zOzA-39eYkIzdE{H6FPqh<1oJXxQRrvj!DgaRG@y&_wb!J5j z118275hET4TNQC^PTZ)&FFRHP(WA$(cb4sPyx=f#EMIUFqR~3*zt>m0mPQ zyI4pS$VP#%Lk^6?1a49U|Ee)eM=sN(OW(lff%`OR#HYT&>evOv=yM+2s>uIjZlMPk zE3)X>N(dsSYf+*{ql^t4umvF--kKkrv064lixDYifdM#B%}8L2ICf!T;z5L~o0UC3 z9)!AD#bVg`NWhE6yN4P&pwE%P&eduQ0{R@&7x#$xTt}ZnjOKQ4^tt^k*K%Yb24}`F zlyYD#My+Zy@K{8p&OpcJ!!zes%-*d9U>k9Xz#i8!-U7 z1Jj>!XW&m-{F80`3s^@Wdyj6+_6}GFrE{*+x&%029jB&f&Vc3)SWkNOHTL$Pd@Oti&ha)p7WaZe;-huMRSSTJ2i}yt++?8!O<|0d0}BHaO00(V%3**@`AY z$B4%;0f7$RLA1iY77jEg?AgwgfHXIyt%E>6NOO_bL&feu^Mw3{1q)-74Fyjh%O09? zXwG3+v04D8<9UrJe4fDcqzP8icSK-1es|Prol+c_Zu40OuzrB)hbx^(aBo_IShg4x z;OR=_o0cQ?(QJj}{Iujk7d2ZUc>5Vi;n+@>65b}MI=IB$g z8!ulGX^u37{09Pb1JWGwzF7zo+b}^3^WYj|+a}aYHACUYHcwh(X6WVE7AmPNCB!wh zk)rm$x1CCWL$UQqgrLLftjY{z=xPNvr)n-)Y=Q+gA7plk?RLaEj8RVp){afK5-{TI zOBjIc88GPm9m$THz+~^?2w2ac9y5a_O1|9eIY*?9Mp^2*xNOo){WkdTsk?hbyM`+;l zM6&1NeJ38>P(5E7D^>!69-lT%tJDge zNue~f?|t<#wQs@`F+l4v`EEVGBD9_yGt6U0Xg!Xg%&d1r*5|5_#_>kh<4DP;IwG`q z6}kA@G*ba^53?g%$>iQa_H;xmpC=ICNL^S?7LfQ^tL@AgaU^~o%Hu<08j$!|i}0*Y zD~}HpdIleauJxV>$8z-A4;G1pNrz_g=^VE{hpiCO)l`(N}RB-$-n=jA+qp%=bq~ zKRSxa-H3}JK>G7m$ACv%fb`>exYVr@Xyxqo+XN6at_#M`Qrn>PQx zZ!0>R;~@JF;=ib;cV_R1f37LgIz+_(Lz|BHx1B|FX+ZpEP2F*$N5sGCX_M{&^11G7 zVfu{~0yxm`$HnWi@F7$PD1G{-Jw=5;I!s4Fo1t(Zn8#Q*0C>ha;POy606B2}@45j~ zW*eVJ-9Xm-CCyPR93YLFfyG1VfGu#AF@(|qSZgsiEV~J%1GpC|J*LXx4O}`lxXPQ) zdr1L)R}PK&E-BEaQiVQoEFH*NWX*&`YdF$xm(wNx<45$80y|WQ91bM~S#!`Vp9mEN z7#)ZLKJFC-)>D{ECsY(z@8EhW2TnzSb;o7_R;Vbj{n=Rw;1vZ};fNO!!tWIYSR%ua zXR)FHOKq?OFcuWx@vIdd&!QbP-uX008_}HXQ2TM&|xNyg$AIX6NiW6he889F9uFs*;r^G zrfCBI_bN01qG;w}VlOl>emEld2ONOgh`DQG;PWg%FxI=xX?jJ$W1okL0y_&hycZN8 z#DP@rk)MJB(>{xJLP0^a3!!qrmLSbYs2s>j|86H%s2sr3X;v#6D+h3%59?+dY_0B6LZSdS$I4=sd}g2zV;B?UzbLaltlD+;30yrAHrvxQUMJ|QxMjcLSK zXz)1qLZN}O9iLLSP-r0Xjm#P=0ld(lBn?@a+zSoxyQ4Am6$=V5d-1;LOofU9j4vO< zp7)9Z95uV!dF~Yjb^>w5hKd3Vqd>pUv!VdHFPrJeSW#e35VaX93hX4~1`QPjS>sN2 zpofwI^(Yw1iWLQB)lBXc1-Acrri6-utjJXJ1%YHv?owv)I#>*FOAYXNPV74uYYk`| z3D=0V1_%;nw8{BAYYmVt2K1HBd#wTFt9&apKqqtc3O~BP8xgDTB?T}q;@s;Q z5ladb$Y_Y6SW*B-X=bMLLPT%+8V@W~LI_qMOdr1LiU(4z&5%7`%k@t;N@_CjN zSR?kqalCW@aL%O`){aQ}`FJsrARaq!zH)jMCJm6rj(*C+h; zC&&2R48kb?aEa{Oce8?yr9JtN-U8|LRx&@8_TY>VN*-Z+`Pvpa1>8{Fi_K`Q_h#{^Kuy zWEnrn_(jLZ@FMx4>G6)tN&gIgHLOyb?QlH=Y1Rnw$*vFr?=1VDKb2)4S?BX3 zS(h~c;J?)*+jqID)qee<-QT6z1kGySL5#)f6o9#HJgD}c{^4)_@6WIQ@gM);|10io zn&!!^E5Chzif3srs7d4-fUUyzM0jUgJH;#}D9(&0TB4#UTQT3>I4?+?tfyOSsmC00 zL*l7_Ruw7}xVZP8^ZV)R$3On*PhWFd{WdSn%GbX_v+~0)eo?IU`ZeNP&cWALTwm{R zpSS5u>T-`-#I7w(=L6vb#h0da{O ze#j2%@A$yKR!mg#&MV?Od|NSo{?q@$2l5j1Ip_a%E=cbw|Ff4q`&wT9`sd&C{ZZK9 z_WXnA+4|@C>yCAD{JIxufpycge8I?6zwI`E$^XCS6y2BKR^b@^4RiYEF8wj5Klh&R zkMis0^oA;Z-=0}{=5*}Rf1z2e*i)2(iLV}`|Mpq^vzLC)>d(IC`=k82S*6^_0L}VJ*z+ap6`$H>t?lV z;BVF3r|vbM^QDcqHRO}E&c&i^^B?@-AOHCK|MHg#82%L@DpD9%;{?X1E#AsshK~f z>lywn(-qgw>B?*W`ssr5?mb=oFF#%Q=Rdd8KEuCZy7JmFU9W5Z>ghrk_f3Z{a z&*uaFy96e`aP6F~y!Nl3E|A3E(^Y=^bRFZZe=VHzr_7-K!oT?8Gtu~~ul>q){jR7n z|LpZ6QS&?WiK4EjR`(l%57phrzkv`09nSg-DBmKl77_jq^(@~MWr)<;8(PV_41n&9 z0#brq8;Vn4kRSX5gcc0Ge^=ojvV$AVKhV*32gVg|(Qmb|-y4k61zNo^<6s;$|Dmb` z|GTRKuzRY+Kc)flU!q*E{epP8o_V3PJeZR962edb)!jUpMPj7!~c#Q zLgP)@t8o)Vrzt@%U`GL%AGhFDnh`V`Z`UEx_029s%?R4^cjReq|DmZw|2rr~AePaL zAWzI%@9%b&o*~%h`1x1oX7ntfFB(Nb(x6%hBxVF5@j*8Md|G;{_ zrUULJd)p^y7;Ay1!}T^6Zf>|^6x|;;iuE_kP8hD$w+B1Z`YDhtN|U}jfI8jO`*?#n zregi?&@(YU^{&g)IGK|%&Li7yED^?=iuJ!k9ckQLEQ#J=g*8vbg-af~O#Q1vwff(6 z!T$8Fa3jz(uo8Im)5A@b`bG~1L7cIg?>1xtG{DGbfVo(vFKiEQhiJ{?Fl&M8K}n*% zChRh7y8#n|;@^pQDeFGjysroRK&4W}uL^eu=@;?16?I4gnQ|Xu&11N$pntN_ulkc* z;CnMYx3g!KGNSu{4XpA@C&aGzp>I>gx!J$a#!%0urv%U=RrBFM(ClY*z`F)t{cZwk z=;NVjgI^tj{2QMH!zX(%@YSK0AG4_k6KI-aa;+Oo@h%Tn)%U^OZHKV$_qe++mG>L) z7-y$$c07S7ir}lm}k9X`eXkt*FKB z2GT&KecJG_xya+)%y2Cr{@vjEJ`v+|h!Zm7rg6W`#n5_FZ?V8(u`wahXuaO#+KKUQ zN;Eikbd2XX8jp4JgCMt`mzK8+dp4(m%(Et|^c&ulHYCI5aNXi)-82o>G#n(MAMDS< zc(o-NEm;o#CfE23_9Qz9f3Rg5ZR#`)U`e5MjMusO7;_pR+r0p&@_4f?85mQiArj2Y z+n5Y$jduHI9LK2RH1-`(^HYtIH~c!b$CPc{B&NjQM66*N;MCH~WgI;0-8BthW?Zh} zk1q$^CZ_?dUB!Br`-ZK&rU7K4@e$Y^gYmAKKdfEGU3E2GA3bH72Cz5AczeRe^fI7OjbJRG9rv4Cebv=ShKOpe#2~v z%>ae=h+{!79`1eF)6qGDV^e+rmPJiU`-04%S*Y-ltGk{d*!C%WgvCe$uTYQlt*e9*e?4O9=OqVHpgJRDOfDjy^dQz<3u>kIq2st?c)uLi&Jy3li8yi3LYVw z=iorJe9B9btZL5z9L@Dv5O#P1DmoxLziNf`Lh}r8AFhmBE5O!vTZ1eWJ3;k$w*d)- z_lH*YitWn=Bv6Q!Q=V`Y>UO)WQD`~>2fZ(%51Tdu+<-nwk9QlBpxJ(eRaEv?IE~1d zWaAE@Zp(_io&rSiH!snn$7%+65+fwYUICE1Jl<_sf^Ram`=;09yUQ8_El^|IyY+E^ zGxs#m#&P4CQz1>WkqHh%6R65 zxi9m|5l}O#uZS6CWU|qKa6jj8bDW4-t4CpjaD{Tmf#Ulzh(CnDhbO2_V}^K#?}$Y_2Z(8!pp_Ml zo_0xrz7ZBd{I=u}YZjoF7$07rvSOw<2@o1>KIve*+C2rcjZSxcTLcc81hBQwF+KV? zw9Mr!KmgIl3d7ff%&Wk0XL}^cqV$U|r$B39TX@tGn;S`~IW!zZFbakc__JiK5Dx6Af<%aKv`;5a-aA^*9#0IAq z7g(g&$qhP$u|+a~U@cx@BV1iZgm-8WIT(v_4&W@<#%Y~5?14apb8r+QP-^jTx5FD0 z!N<72dHItzrkn#95!O1*W)X*I5+HLps(-?Br?dc*fVYLYk;dVZrCGrHj-8wth)S&E zWAr+1C!NtN_=>xoUg3+eamTKR!E6b4NQcB7z5*s^Kih*lXVp&&h@GwCC{cFOrJnSP z<}C2pKlS*Wh(kOJH;m|Z-QPg)*(?tJgkvYtQUtV^&EihT631Q2kAq5+&EgI?e2;L1 z-xeero5caAiU^X!P*`gc09=I)Sn+t9cDJzIymZvA;P6bpTkfgc;46-kwu*y!BcwBW zSA-#+1TG5t@W7YIDGvA6_$9Ow!Qb8fxR8e6e`*{-i06Po$lY~yL?ONtxT5LwTj_Z2 zIbdYleVy@$*+UL0@XLXGg^i0n>8kUZ%T`w?VG*xfS5rrq`d&$Kzujttfz~Fp{>195nBJZmOt!+d~eQpPkQh-U40jbJ&QlyNz9mUkf%d4jX}A z>`qHp*jhVmL{4JFX__85a~_YMH29@j8(|dcuo18CU6w}`HkJ+>aa0`}weD~bPZc&o z%`~3BE?aLzBAy1MkXVvwrp~8TcLVaJr%V!RM=2k4*Y2xHR1ssp&YmK2D3Uxjo1RmiLA`==C~1A zS6JK94jp|RjvL9`#of>G9Uk}dnb_e~uj?FOO=%W7y~P=+VZ1qRJmK}dX}@g%xxDm@d%vKMNcgKw&Rh&LrH25euaHOl)r8u*}McaWR3IqM5RH>nC;<%B{ zvxg)P=(O7$H*&XAQk4yO4jbY1Fji20$bwKrQ_%Pec3m8y$YZiTqPoLxicmyz0LQYf z!z6~AqejT%?r|*A)e(uj61i=c%K3mPr}8uNUr`n zLJ{8xc&AI|)D5274jY-ca}EOI-C^Sm$4J=UavZG~wq@s?+csT?D~D!*$3BhHJXmu8 zV~{2wZuDYe{5-S|G&pfPXvE7A$MZ|UD#t;i?^ewL0$>G=C!DG)m65Io=#Iju>M+AX>c}Y`7gW zBDdHjX>PFLcF0&M=GwT5HUxx@8If{CalpgPA!Fs~;XHJ8#37mjX#af>Yo}^rH2H=I zuSsCtPFmy3y#Z1&sZ%|Fg_ zw@16BYm< z;Uf4_Hw+s&ju^zZ0e8Wwdk==)4j18JGWJI9jtz$0ju$JVR2h+Byv+s@-a)4x5Eywo zU<45W)GA#EPK$PXA8&QQzlYsG~hZ~ap9>maSWBuNY&>@5HfFs zZ3g9ytes~XfL+jP1|HzVG0-kuJex*7k)HNsR<)VyvQzDWwA4fiI?ehwo7@x1`5_&7w~9AD$${C9sSc=HkH=sRHwTO;Hvm7ax5YyK01(EPy%6&PIyrY+Aj9EVSC=*HN$=UzAwuiqZ;lLG;poUY7u!!J5H z5FO?qU5_Z-!rN>g8v&s_(;Lt|=W{QBufRJBW;+uD0h^XFJ-f%N14h_`kFZ(mQ9H?) zr2qVd3crYI4c_7o7@;tmVFmuJ<3;?-WB!Kl+Ht%n$XR1jtHE2mKKO&NUNqW0v_{CB z?B{QK@NarO!jQ*F&u9uR^eW_kut9y?(KnLz>P(aAy`PC&%!WH zl@lj~NaTTGAc@0Uxg&2s@eqt$q~-7Mxjoj+P)$_Cc%9e?z;RoeV#{tfpHXMm~h3oiCGv&hEs2Q8<|Cu(T>9phwEf!(GGw7>!Pc-3C)7b zXz575dEC^jdG%AT?-QE^&r?t-7>#sT`D~AmJ#5;zS9YYP@5i;g64t z09KR0xVkeu!uTY4b!Mk()!UvA$_p#*SXxgZ#jc0tg<|X0J$yebFPNd>kg3bphvh|< z!zqJujMv4t7(bC><&MUV#kV*wpe8upAC?zP)pj+_b);*Jw*dFK?7DH_>OS!n_|@<% zalAYzFO-B&huj@*?+b4+7Vuj??Rh+iFWe#b)wLSI?Y%vd07nqc8InHdGYQ9G-_;JI zpzT=|K!hk7zaPR^*A}7G1#Kq#nuOWO(UBW$YZA`6>L7_`8pckKZp|^Af))+qJe~E! z_(Xzr(hOy_)xnvYG>nQff|`FjOyDOCQNU+Yde`j8y!zpM|GHybNwmCkL zV4c{g!-%=_L4x7ef*})!uZIZM8GNat*suE`f}xgvpUMn%GRx<^Fs5EP(T?m+eeBpr zye%wXC-e5fH^8JxlL^oG3DxK%tmr{Ovf_I16C+Yq`n?ky{op6yCC~l8m|0hF`b13o!HPUPefprZ?Ux@w~=*Ojryc%8P|;%*(f&S8caK?>-f z5TNj!3^9JK8!QTrUk^i!je~vn+g=Yt48QJG)G*V@TU#)a>f~yN{k)?`bboX-RC2sM z46)ABX=Tk7I-c(+K`P(lebPU;(5eR9ajuy34<04N;p*_E zpY#t@>_#xouM1y#J49|g>^G0M2_2(-`Irkut&Q%Ox*LF7-Mm8L0CB9l;etUr#t~LL zR1h}!ayA+Kcp3_4Uuy$)!t$UR;H0Q&>-&U}(fu9AK3(USFfu|1$|g7UPR5a^LBG28 z8yMo-)M#U*qRdi5cJ+W5UhwOCmLWK7Z)_xh2N$e$Pvt6K_V6!+6|;-rCr{vb^rcJIqgePrw;@ z1!obTZNuD{VnR%k+AKI;7sg~q*y(p@6Mlw&!Kc+9wom#Q{xBj>IVG13{_B%u0yxUm zTAhDr6J-M9-|;vKehLrc?U|6eyA5^xVV?vvUTQ=Xf>LepAD%Rm@i2^STPRQbp|$7s z0KMhX7l%>$pq8>ydw;Pw3;8U1n=29GWLQjaJTQ z)$Kq2uupoLETqpvB)xG5O?(>v#bM+z|4<*_@UeHP@okKs6QDNV!gIb~lb}X+zz9$L zneItYB0D3g`G-DjE-%Ci)z1uC%dh7aIgjV2IyXbx=-@rRh5y0HCZ~Ce!1c^; z0TjUT+#+S4gLT@B1D@gZ^7sP+nP)aoNbvn}o|E!M@9hzsc7LF2V%`pR8alG&AKEk< zXAN=l{V@(4_jDWQVY%q`IO_zx!JBl)=>t-nT$$H}~ zZAww1aSqanX*j-bur$*j%7nn-4`@O!$NWQ|mg6_wn0-G12{1j!xdvC?n%6Nwa5P@M zpJnjE;{KR_R>Z`|{6n8UnT3wb{(5MXcNB^;=J+1oVn7DykFy@ITHnS`9_6a2tpCCv z)?1t;l}U{B`cNmA9C4gpUjwR`GM3u<`NdDPUGJtp=2YSKs#R2o*W}_%ymeXQzJ3m< zdM;;UUq9eU8_dI7L;T_=ffViY4&ejRx;MnQr4IT|9|A__O{fc1f7rNdSxmep-#hMe zJe>WWTWCBPCyOb!mxFkgK=qwHv#+O*T~uyzd_Avtp20o1Kc8+eLdGf4!9%PECl8`+ zK9R?dT`=F?AjthMMn zJnsA3;(QRntzMkha()s7BlXW~13+>28jnW*+%oX}CVV6Jn3MI=?#D7VrGqA(t$*9b z@GnZ6Az^HM{BhWgk>}O zItT~49Xdq3cCvhJ-gHKIce?{BqqwcOsz2b8`Jo|aipn6602YIu~u)fX!_)xb~ zsjpK5z0hZ56vvGDEqst!2NOK4Afr4d7N2Brn~yusw?UkI@Q2fO)vvP>wR)Ey);L_v zkL0&r$1ygmUXla64sZv3nEepPi4Tn=C-mL=!#W}|nY{P!hsxuU#_iiN6o~l?l+LgB zxfQ)I8#G0qBanbNPtmrBP!1+e-3Jc^&8Pi!N+;WDgx@-iuT%Z8 z^Jh~MBeDSanD;CkMAqP7=YW>8%rYDh(TzuqNsq`%umipMZC4TlUDM+sIrTB0oQHD% zP5Hq{kzl;HQwje_sX$Kv!~Xm0oq~b>0Q<5sPAg^O*>uKfrFafY19hF15<)}Mj?V3` zcM9oXib_I|OgTY~FxA(YqB?j25!N?TTI{kO%Yeq84A}ef%cu3-S1Uir@$1x2zS4>QQX(@)`tcyr!CKEqSMrt} z8?w`tE4_&g9DSsE+b0`}M*MLn=(mdGDGN0aqkO%St$3zS_t<1|_FyaUtvfuDxls5X z5dM9=lfQFZx$BiIru@7WJ#j0!jMu}5KzXZ3MjxaeU8+p1R*Q3>F0julJq z`&14<<{Mw{P_B4Y8el#HWwvh3Rhb}yucPwu^{QlGyo`WF3qVvpFupbQajrrME?>r8 ztPSAQ>DT%_%up6uc{UxKXOmejHCrL%BX1e)Yx#s z1F@l~6!_HSL|`!6C~9~Z?|4=;{?zS?*C1#q>ara_=5j1rx^*aP@Bi97vp2r@pPAu^75R1?KZ0%Es(}%@tTu>#OLAhePVQ2 z9KUq&r#4Qr|6}u(@|4m^T7Zj!=HRKkGd<8Ps*OTDKTC0oY83W4#k=*)(FlM!*zx_; zukbVukmOlr9I+Y=IA{A+w~xjITpyqFvyTDe03K`gU40LH{TP16xBlD;kf-YweA+5_ zD~z>NPsHlNct2RHYvUkYX%;tDmj|W?BnL%nt0@HIBLbD?IGRYrJQ-^NAN199!gU0# z&fVkNWG6tsaEOHzO)UbWj>D0z^EAQm_2YSP6U@^z!}X;&XTN%E4o%>$?vmA#!>&K$}jJu-sXow=kWGu3Ju2ut;kS$et(A95+VM2*G`ZQ-DlXe}JWTuyH5fn{7;cEWk z>!Hxmr+k{lFh15Oo&2M@?9kEgxIUWEK0f8syhg%Pn_JmxcH?*l5$5aF97hsW_t`C) z=?Kj0$Np};!&OG)RZeyAJ)L@j51uMWL}wq9pD=^cWu8tzW>Jf4&e1u@PYKQ^tRWE-U8JV#@iekrTd_3d_tsb&ylziolqp^}{V=PU){?mua-|*>g zTy2{ehkLAgZ&#ZqGrBX)6>XuWI_o!&Hd3LP#q^7=Q&uK$d{kHH)1=CD_+g`sXlmtU z4#3L4UQMv98Qde%t6#6CSr$>6T_B>z))kTJ?$z0nJL_5ME?*tI0?3Z1nJ-@*zbuR$ zZcL00VZutsiABHp>L{MY9?6kb2QulSAH2E_G}W^UBZfHZVcn;(fz%ezghi0di9$=&El-=mT^k` zXfDS%V7%_6f11(R9DoyoI{2UFb(XVF2b$6B&ez|kg$b)Uo@LD2hs zdXMq_x_xUto%)=dWBydDv7eXOk)HW_2?0oNA9rv25Du`OJ3fK0^9T+2@wc&B>f=1Z z1eUAEcB|g|C1hY}y&TfGhVbE_KZFfRLMXvbn$vZX5LV3ToO%oEF!=Jj-1l3y!JdI# zBCe(J;AgzL2!Npp!PJ8*zt3@NNDfjqQ3n5dX-;O}hlU@C3Muyx0&>chq=mKPb4o}a z12$w-C z5#x=J6S1jeJPv9UU+N>aD(#!MpU^6G-j;&LrnbqQTw3Wu3)LAOsuwzyQ*Phub9^eT zxB)srl*%l(?`eBmLN0V9ZGEcNmhNj@zTp_#JU(S&)Ws_4nX0nR1hh=WQiO(d-|e_4 zMQhxTcRy_*a_fv-{8WV~4!eEXx)zHN(RJN{Qq_j&&L2~oa7gr+Pi%@lL(zw>zVqx_ zkV632Sw>NBW(o%VV@V+z`oj66%<-v5WY&}5pdVlAMYQ8xt~RCGag6Us+VS%&btG=8 z5iDHir<$@;Q+jF54E1GatRwG_RBNL95aeE6{}Fd~D5kq`@TmobsJgiyKeeN1*+xE0 zV$dZu9k0hh?fR6aBHMaZk;+rb+F9qXR@N@*t2@Z8&s|d4&Qy&m;VG?c+^G*~phJn< z*wQM{S}J!Nw`VJKADu6xA8krSLKRFuuO^UiiiiQ=zU@DeqT|MPd~a}}QEuuK-#<0Y z_9N3x7#e8M22l?!9-o@&#$E?ML!q&TL%?Z$_)=se_q$)BIHrOdSndmZwa2aZ#>@MN z93>}T@^EMdx>WC}CV$CyLVXVJvU9Erp;m8PjdrWjm%1IH;`n|N#fBQ*Y9;Mhp`J$w zc}>}1sO_6fvE;T9>U_8)j2oxOb6|=28$Ab_y$&AjKO)+(49Q3(tO6Q4^weUO)&fYp zx9J2CRs{5Fa~E@37a;I17RIF20TdX;3b?dJfOTB)=8;wkjXeZ*a0u%KSlJbIx~Ee^ zW0S(Ze>yviJF}KKJIe?Hjv26M`}B=yl$JKRE``s8gl+Zt17(K3cUcaF4@YCy@ZI$}mv2X7G=FZNJ|B%14&DA4 zk1a@}bCI5)bP<8k2qFVnvMkpTt0d*#7A_?~qV}#;EnQ72eZ^FgO&63(X}wIT!ZfAQ zuSU+fX|htOaX&O`VaifD`}T(l6PL=P+Af=%Fny_<1xd)lBc{RxY*(vtTFT%PoYPq> z9B8a*J>~7P3~MSMAw5CiZ&QK0bOTrV;Y>a5*V{dZ#g?(|(1j!1b|B@v4%O3>-z2Ps;3L}X2@+03H^YMaoa58E2;X}f_vNS4 z5yZ{SJ4ZSrp$0R(L(@s=W?Q+s=+k)#pMFfYEX2a8$;x;wJK^kfQ`~Uq+lCX=e7&y! z7)RZ*j?nWTHdB_0>n9IeDtkNFmTI|J-CV3~)D*5)<9E0(JItm_*3D>Vmw#ZGYTZnY zD4I$WF8mVXL+ziYT{p{^I@+bl7fyx8h{5G8woJip_Ho!DYI%s=TtIcQOUp6R=bS4{ zi?W-xJ+kpmOEY-rUi;NP9nhxb28Wkn8cI}StL)QAZ5ph>lBG`9p)h2-siV`q6aH-g zmlS7Y((etEc3Mu9{%|+#I;%eAvXi@MM}Ab9+b#FGF^+CO+srMux|m{BOHuiB+8ej@h|RT2hA-cR0K3Z&J$?L8T!W%o&UwrB@1ls-KSkINdQ%+Wy`4@LX=1Cu4ABKhu5lpb5&YNeH)2 zvTvd3<@oaUWYd>h4ATqrpaqw`?ZP|sq>;mMde}~*9#x_KlR-}vEDdobLy;bpkm+CR`Xvdabc;A42$1$VjT9$cn% za!Hq6`0+QlQ>82KL5EQM1GLV_m(o zu#J@c*URa8XT46lPZ(qGpkbU=RfLf?j9$llsJl9hw_yx>T}sY{Pd9vL`!((bUHo%&sufjmv2&-nu`!+CpPU(dMx=^?H_V=BEypkem zmye3riBsCw+g_i-`ePRjA?)}e^Dm$3 z0*y|npse^XlUB<>gZXR!L3kFkm z+U}PRbPU)gV~&eI%|n_gSa+xYV}NN2f}5E#S{NH3SlTqH4CYP2x_jA>B@j78zcgEZ z22lqx?P^&-@ONPSQJv5YS`RW=-3O&$`(Sf|l2IT1Aps%#bNR{-H3&7`t4W9*j3MIs z?2sBnqKYmK6|@$;2+u!)Dhw{t5&8__E&hQ;g1zPLgHFTf7E=$0 ze}?e<@q)s~+Tvav%mla(oxEq8ac#2x3JS)@W^mFkkOP1G;lF^e_?z*FBOuU!fG`}( z(k+VN_&;NvzV61FVc-$}_Uj)1{SRN;*WZ2Rzy9Hu|20vGzw&+Fs6;GXh$;5_gOtdm zN}UL~n7j-9)MH09!f;LZiP~?QRH*oYC>uHKu9H70ayw(fH^0Za2@qM19d-A=cotJ~kg>*7^i`t*r_;H8fx=0E(RriNS7KPHcqW zsUZ=(&2jIWg>tV=YuMUli8VXykr|sZqQh}39NzGsJsjMz5rc1a?(N?3$s_CTBYB|^ z;Z$JVX|NCxDL!P(6?zmv>(QWkz9SW2%Fb>zL*LyKj+Mj&bwQUk9jP`X`#uvBTuoNvu1|dI`!^!8#*^1GoMrPi>?)?YSOi;@BDQL z$L=+L+N#XfI<(_5RO{=|{v7g|1lr8iTR8#blA2whBZYvB)D64;-Q!9)fCjarUip!q zz<5VLgg(rZ&%pS2!5n|`AIOj0HS!|Pm+W*w;nGd*la_owl9O1~}L6B7IrWuZ$-%bxK z$t*HQNcs8Q1v`zLA`3h2T8|VY_PKFq=`M?mC3Ow1VP=LCs*-MV;!KDlNj;(sg9}#z z^$9&B8coH+Bdhq^9&ot4ie)YNFV%>PnRS&scPT@2;qm^3ZOkzPIscu+rh zWTSCRnx)xHULWiOlxblmySWn~AIFV1^8a_J~Ll|zck%)K9MK2|&XD_4(L z#Ol|~?K6lle(hBYKpW#+*|T;)G|OGS)f(7xXjo{JCP12XLG)G0&@^a4&dLXGa#aGN zP680@E~AUAtI#0gauq4cFogOjRCtwbD7g@C_*Ld1hEFB7tP0Vm`lz$I6jh}0f6MW$ z>cpb$EsRSPshD4Otv_p8Fdf@ewRzRRXq7IbpO2auplL2%MUAbKJEl&ND9O2ysfLy) z;hnVcH_R$Zeq;Q&nrd26Aw*brdKr0D6v<~0YCS8E7sPVTaYn(C0?o<3%JL@LYuzCc znfj)>x>Qca$$0nTT!FF4tH!tdG=&SxM@~d&K2s%B*-ZLR?@G87|L>S z{i}Hd`=~DW+mn{XXzZ7EkILG$F5-fDRJvJUll}XvGESjS`Nl@Xmu;n#Z-w_8^~BQ)WwuT0fp{mWy0UX9fCoa~lLw(ov&9w#B{1qm7OS zIqziIcE=sgc+qUrdwrZ&TOYIs+9}^{fa8&qSnky}*r7r*I4#=@DWq|uM7AXouBATI zXkx5%i#+>B&!d4c`mv%#vNGl8Cai3!q*=d&#IF`iqP{#k*|JIZBtu!V#Z%*Ml8lZ} zp2vKTX9uZ1e*0`VrGdpb2&yl3HK^WI_x>j%@h1LGE6i$tz3W4e%4XS{3^0cU(Oe5o z($m=!&A7(em|(b?ckw-{wE@}ei}MpKd3BxD8+-@l97B^vw-OiL-2*zDXCobsI;UwYypCXInPTc(f936GZgfZhDvin2B#@GU%Aa2`7l0-Lj zS(O`>9_iF^Rc>%{`bgbZC4g1Oh17{vNd_JJaHITxEP7F z<(eeGPz^RpTCMvIm0@Flvl=KJnjviqYDy{)tI!#O`+K%|j*G=y+mO=@L~o zrfDtr4GpH%M`eyr&1R#iuY%vyc)||g(e#HVlx|}duB3+4vLq>QLvz{~NOh;4RVJhXz6Yz*ABlm;o0&MI&u;rJpYB8R+L z0~n;lPAt29J{Bmkv!h+PjsztlQ+(K+Jwb_`c3X#{f&e9s*8^`N@qU03fqB|x8=9O% zMxzfuad8qm&CA55Pfns`-~LjIlL&y)JftKiv9osZ;mJaL5>gkO`M@Ls;I%y#F^iM< znuOpa0=HBxJWNhvCqTQJ+PFB0ov?XX1ScpFmY-z;Q3I6NY4Cgb<1bKRr}v(T#{o)& z_}z5bz$E%zO>KNIi3p^pKIMf;)HAM|J1~h|`ep4sfk`w1>-umP!gxR3_LZ2#PQN-& zT3`}E((5k8zA%Z*GhgNv1}3rLFg3A_3zO)jQIi>%L>`oy_w0p96hf{(7ETkB*l2KL zsAXUh&3^kZjxyM5@&p$pu~VROfA~^8c)+ihjTMGR=&uAqG7>v2kWP7pB_olBZ1*+o zwjM?zwW-n=y%>quMXT1ugd|ozJu+}hNFp8cH{tjal6cD+_x}3v4M`lc%BB44$2TMq zw9-qR@h?cCyeZ^d7K}u+P+W>~UW`PfKu1(4Kek{b(mTSuuVf_BR?8@-WF*qPz@}iq zNJKlBkeB*H#J-zf=+qVCC3FA0e} z51!@2iI8x>DGPof619GpIsPCLM+`uS;n$CEMB<6esS<@RL?Wu_b+Hg1M4~1~lbMV} z-T8983r3>IF>)>pMq;PEmB{pI8@Z8Bsg9_$ncS!yy$v^9rj%GX#;MKMUnZ6tQ(EoA z^AaCtEDK&-!XtBI_jr;=$oBUAB#_XdKl@>;pqsv zann9c8C(vc8=7e>QclOwji)YUF4LiOqkZPq=J*3iWG1rP(KINDEJ^!;OG+Z$#S~4Z z!zz4`#;U!|@#)CQ<=Opf>EKE+)MZ=EW%x?X(_uH<@P}plvKc2YN+N@5uleCWyRk%3 zwd{mlEmJw;`QtQ)z3s-u-EN^_hr7{NPa5>J&)w(@&@`Q4x4SVaIORqj_PnfUPhah@ z^WA9wr^B88S%z5watQ;ck#x!R5{u7I!0m) zH-pBPH?qvgZv86ZrMwX{EF*#RUfy`bKkPKUyqY&AJtmfLc{^{+$!ZT;PSBo9{f6Ni zjmfD-Riw|f>1DDCO-Q0RZrW4A#~QJ~m3 zi5E2$wh<3V;(=XIUTrT(B3*lTk0&G%9k=zQ68w_Qob>da_UJ8 zS94p(X(b60bkhgrvA#Uh5m;>#IUOGB8(CC_zlJCK#(chwUBkkC6IjZQ^~>^oW3Q}a z!^uc&v{=+8myAS83uGrBgv5$KMzX;dA(71XOJPS661CUpr%FPif+@MxCLytbud6nY z7a@@;0rNYPkcei(CZCcQArbR8U2>C<$nZtFo1g^%S5d}6P>6*E7l59%+RZar1Y;ci z=6?NR7Zl=s%qUo>10;|)Blr@HP#COL1x z%)<}y1x7B~X^CgY!88eW`WCaE?fp?s90w5;%gMz0LoJ7MdU#9{|K;(i5!dJQOL)xrlTYvkuEHk8EpwjB-Hi% zMo2_|&kj!7*9VA1Goring)S*fK(xtJT&xpd;O2AlqN5a6d0Tt_FnKC=V)ge60!yLq zMK^^pm@S25?RI^myc8Z{Cz~j^FgBkx_b)&)g|^P7!Yn@Gg$V0;dGHYtaNEQBg|^wz zM`3%47Yt|TvEY~-#D&j+5PbpY0=R>6!gk;0M+KtC|Kc|NXhD7UBDk8-f(rx0)>M4- zuMcbxOBvg4R84?}{DhNMx>X;*VZ{M4$t%I{)wh5`_aa+%Ex%3Nk0WDgcQ*HcY%t01{ao zZVPJl01^*$s;LY44M;p8u-VMeOhDqT0*~J!0EuYqD#f^~1SFE+-6owe0Eyb;eg=?8 zJIljR(F7zi{5|HUTJSNPVG-5&JpzzOY{f(=1t5`&%UpF5kjUP>?w>CKi9Gno&g~6J zB(>XZ`#dC)byWV@pipjoW4JS&2!!V5Z;a7Y|G#s!o$8mXt)u+}z9XrX(@| zzx@_TNhBL$_i7lJL?*o^8!zrD_#o}uKKY4(NklHiQSa-%1;TKIC0-2^lPI91(Qb)J zWN!DK4^3bau_fEL;f+b;DX~uIVPF!;zAEh-1QorB(+cg4N#uF9IkX5&A}L*mQD%ur zgyCPCY|+Fd(onGZ5lBqp1-_=$6k#--ZB za7#`i(i3*td~*_YN1mS>$4Q^?(+JAIBr_$24+1?*aA{lj;pN+&MHX>5Xx7Y&Z z;>)JQ8H`+nUrfw#L@)S51&Hc1-ob|ghwA!_kkA%??~{-kG1bLv)ahU=qOePN&q+57 zP$CR(i?^l-^e%3sr&q}c4Us&;xBC`MUa-8g&EYHj#P>UFnUwMB*_hvPTp!^r@?U5j z_!bcRU(7Ilh0rId>*vICub>+(0OvziTv0m4cQe6Was7Guy!CMqz!NiWCSPbD;|a{)%5j{Z=NXLOI0R~Z9e}V#fLnqLmsk?oeyl&t11aVfTbRz- z>jY~=@bPirJ=q_mjXKZASm$>;1?G9$%e+#tas2j%Q9h6B_(@SC*6Y{t9xK%BcF%MG zeujN==OTSTd%InpGMQ}v@3u)f{Q@O2gfn9+Nr~fW-5#*wA|;AC=e$sm62)N>)#gn~ z+`F5(UZg}SHMA_fNQuxN*;M>RN<9C{!NrS{NS1lKH2&fwo=;jnIf=-`yLsY+lemq? z#+=9CB*NRtj%LY8R77a(zmKG2EQ1SAHKH2H|^$ue3m`G_~FpUv6z;3Hnh zJ<6pwYX%6K&RH*u8pEO0@8Kpsd_8eHkF@-B6J!=E&F<7a62(n8E5Z0# zXAr1q8OdpP!o^H7_*$8m21D=_{9JuvKvPR^+`zF`7>_5&LSi>s$KQ#CLxg_m-dVV zBuY1|Zh{vd5fWZ~_~auV0T@j_q7a(yc?dotIm>F+e(@0@Ht7l=UwlN?B$|PQ!ABh9 z$9#g4kH{TW&u!ol$IXbJS;K)x55EOY0V zN<3m={YXDb;1PF9($Hn0Et+4oT*4YqB*6)h6NvSCkjO^w+oLb`>6ieuE~PQuLj+Ym(@;H})N8DLfHbO7(h*+x8EmOZj^uQ1THA*;;M?=qM*ybGQF%@)04Q8sA#|$iYWMweoU_Bl(DhnY6agzW2#T zEDU6=d<#BeVS-gDp5!CCc&}w)@ext=xE&`aAJNHw-BQ6vESE~8A8G-TKH*)WkGc4W zgL@r8VVdqrU=L|}sfvS@EEJ$J@<#K0gC?JW2FiV*=BqXu0yS7^9vmlAS z_YdiO79_EpDo0K=(u5=yEy~5i`)m;?s=VpLKcXhyBlouXGLHz#y#~I_Bbj1f#5vKr zOJarb5k5C5uO3AfUp^hXmVoPED)Th!Z^^wdj?UyL-Ce8Z?+yu z@%5)b+@)D+_*uJZH0q^T3NDjeUEvf_QA0?;%s>FcEHo*#%r(s+-lL0i&V z_PHLm$POtkdko7AV3u^3{jc>D7Gf!V*{}(e#)mMNy@%sSDY4cP62Dp-LwL-F(CPIa zI%U3o_REE?nKa%q#bZkc%@)tyrhTECcB^H#p8C;Q6Bb*?JL~n2E}P@WrlUdVxG|2F z6h$zP>>HOKtFIRKB@$<2X?I6uh|1@z=|@~5bh3W$@x5-3m-5WQcABOWBKJ97J}8N3 z!ED7IS0SRGtYVWQAJIKKJj?V`St5PT=J+_W`dFfVwgKPA0QNjDYlFu!fc>wR zv7uoxzz`|x=u z3>c10JMpg9KZXr#q@NbKVesIFdBf8lKM1tB;=z(j#N!^pUg9q8L6}X<7UOH86U%H9 zr&Lasx?yHPZ9|!^63hI8@{~FagO*tazZAOfrisQj+uRGMe*f^|;Fl^ct%Y|7H4>+_ zQ0ev2*^y+@(6RuSsWpWZ@}cU}5L!iuOf5q#7+zAY)y zh+~u>POBsQu-MKuzO0epk=Uh7O(&&PB&G9GN9AP%rtRzP)I=*stHjdT302DKg*Tm` zEc0z2#!=QB`!dUCsxis$r#5`48lNiF_0z{HMf>S{)tLM{#hVPDtVWj)-!5l+Z`JD4;0^`oas0aG__V`ote)-WFE0B$ zB!!COy|mjyQpg#cbmwDEXbcpOPdC3tHl;nB!u_w&%&UGwBsQ9JHDBj37c~0%(~7WC zQ>MajS{GL4jbxq`PKT9v$10n-a7L^&YLr=J7%5g(QDm4Dwu_DCR?RMu%cilh6X-i1 z5wC9!Nz(=rW;LkBO>pA0jkFn#9`fZfX@eqp=Y=U{rKPLNtLb4`xhCwgOAE`(N-NC! z(;>4`AaW^C2uICIp|-kk(t)!Q3x4`K%dxZaoU(+c9Ga6@X_t!DfbLenv{yyauv#0H zcC5aRT)4u%wKDm)%ls?sUMnTB+Z>+mu<{nunLXWPVO!nZqZ;P3H;X;H9?tNpz1efE zcs;#sE8SaF)=e*5!~xgo;pLnQPVQEx|L*kJh1($V#D~YHFE2KAc*E-T%f|O6^|8uw zIc$G{>1vmdn`sh!6A&%6TAB)v@qHXH1UOh8#5Y?o<;tZzE%-XdUy;q^@w&1oa=WsuDv<}~nd`DtGw zK?{fw{@duhE)Ja2uN#@os$D7Vy+=#}gs>d^!wwwn*qgccX&;W}YLxvy?Z)A4yW5>8 z+{sV!t<_MJX6A4+9uq3=L71PjMcbvSG)res_rxlMx%x$;twlndX6#@WY_9gCdHWcL z8MCjy%--3sX}jb!hesdBF+on@B~RjFUeao`IH^*fhdF zSrt*8BaQPL(e1fb;wc5k0h z0W?lrZnjPc0sFDXQ=scS%mM@}+dVk}3vqA|Onvy{EFuB{W^Q{=fC9S6&_F*y3=_D3 zZnR^+CWm428Q7s+jJ*n+1KTW$Rd0g1OskuY5X;|K%=07R-N__)CI=3saFj&#?CkfAK~kT(g03%Y<0zuiU+;1QiQ4b1Negm&jb&f1Ooa2VqUFMiyX2uVYstQ5TFs@%h1RvjLE|#A$|3{9&Vy2CS+8M z8QeagCm0`Rt4m~z#Yn+;89$mKDGyU+r%JoEZH}A40+I$a9eQXNvxU^uv2mEe@-SX7 zK5nN&B&)@Q0oY?iF6Q$th733$2RN(xoDXvb*MW>ZDtu+S<=0_cyXw^ z!D?L>S#-IMzGoShB#iEWGG+I-OhzI?-0}4DlP}sGJ6pQyO-aYYk2DT1Mc|s?>48x^ zwmY*H7l4m^fMYYmB#?bn+!c4aCgg8KP&kZz2P6hB@Hg`j_pkr_r?2w$zmt4;eEste z8-+y&m@r@%o&p$RJ%pRl*iFV9w-dC(fA_!q;s5==fB%R7^WXpV*YE%I10PISplm>M z0%W)zVE99t$GR2=G+mZC`YbWX6LsiKUJDZBc$e3UwRj;zx4Zu<);dB0=6tRt6OG-s zT}Wc(Mfw??I{SN_rlsvQLA1}Zj>Jl{^M33Cw2E}IMQj>?VK*Zo))s?aEJD=Z8xnVb zad)-%{#Bq`*Ct7jPts^m?2*3OF7-ku^`55iO)lx{0En<<%&Y1Hab852Q|bh} zuk&T0xw%_2<2(w^{8e{3#m4!y&{*06yEyM+ivWOLi_1D6^Yv)R(d(b{G{&#$M{ym$ z@wOc-UVY5xxXvBunvdu@-eY{6WcK=Il@TLoJVoRb3auz_ait;$QMzJ7GrgXi1tQfE z-fy~PSBe9X?X@GT#PKI3f9nmyAm)NQneiA@s!OpGbHia%$E2w3Q!Y)5Wc(=gg;}Nn<=Y z+Z>xuJHkZsIy@y!qw7xB~goXS|6jVB{vJWeSy&0JjZg%5~@aisPFp+VT2(D&iuei~RrT7V=CC z<1)M9<(Ws`)f}RVU*w&4T8(|rQ{ymEjTO$k_RfQgaSM?L-}x&#uN`@Fwys-Co_TgQ zRZFcD+4`MT*zNkngYBGrUwqX9{H4?d5VZq{I=VNBtTmuNy;;AWwTYdCD%Y-}#<6n| zH<2SsB0Hbl^Zev}A&Jsmf>?zZ^q5U$R@QCM+jh9gIO{wJuKPYp!t_

~ukFKW<4k-mK1;i+%3ui_K0N%=m5!Ks4Uy z2Ppc9Ap9*>T4w*z%~ef`uC4f8RiI z@tNDN&o;fAjhv-@wDqCZJ3>A)Arr~PPD}N729gW3_9i`h61i?#{%*R(gUEHWzy9!L z7Lg0DKW!n0;vO0*<$-K<)=t15_GH#Ko&%RLoDeSC$2N#yd6eos=@By!z^17F{WT#zo^ z`)o>HL@tbPPQ50PYdqW)ErQ3_s~LLsN=TQOL@xH_rss#q#UuJ*QAiTG z;OsPIj6vk8*pVzJN+1_^8`;{wfLuFlPqt%@PaqeQ0kc6pfLu3$yt)ZrKrTGneKpcQ zhNYmR`P1GS)-PqS#{pkgkzdR(v>p0kcl-Ytl(2FpFnp zB{qJBn03FEcWlYMCm=A1S$NACGXq|Bf`CPft;sP91Qu$ByKPnzfd!1z=A>0J zusXfayf6d<3)w)JtV;R3AXp|JSSXZ3U}@5Hm7rkp`Im?Fi-N^l`POfn6f9vmH2F!vVl;S_4`Tw3A5)N* zv@6OjRnJO81O|Yuo2Io46gI|9vgHrI1>-IhkAyqJrsrQlXt+7B9__kSnm<54b(YPZ z7RxMRBL~Z2R+vkOeqsh*m{DvDr|wVh3VqD^^5u20@ky!nv{>F4=>2J~`@C>hIC`93 zt(W!2Myaj@bBVj^-ByP`zG+t!CaWg-!d=C0o4z5e%+|ES7l?1uRhIV!eT|JEULn@WutF^=@sGef|iI4rNOVa zCk$;M+ikel@{mb|YFf^0+*2-n*|4bDc)HWcJuPht6>#=s3_=2?xwx0GtMfyP7{VY47!hra!pY}r{ zI?UGx?us|8d;rqkXrq(taemq%iH}jrE%>N zi}uG4?A15 z3S(9Y6VtD(F!WW*ApOk*UZ~&v(29h&@>L4|v_j;%gb3-kR=A1_uCm&SxL5nukl!qWd62H=lr9{hA~X)Z2$0>;7zkTKheE^z0L6o-Eq7E zgqdC;1HztpkM&+*{`l596-IrY8<|Cgv7hJilT%f=!3qA5zJY9MYlnRUm;E481m(8F zUf31l@|UYnX>SNO;qDgpv`KvZLgs$MduSExKR*U6-BcPOERPyS)Ae*G z#?L#@@<`paDD+QUlr6Bd=!E+!3agjJ73tPm^!RA^4|mtXMNRQ`y1~Na3F-%pFYnmG zNb|ebY@wV}xtjE*_3MpjT2{6MAGm^%*0+WEOFhlYDEH;T7QVVWVkq}A6`^PPoJ`yFJ2Uy!<~|O@uFU@Uyjeb*K7ll4$(Wq5f$muQ5ueX zut}10^m3ry8G)+nG99aV&)T^%46b)N-3k$$hS<}^@WVeFdB)knn0DJcSjbrxQwH%q+QoHTk@Uj>297&7@4DaeX~I1 zWqrPrk}zQpVV1r#(CyO`{c%^{={&RB=|1e(cOG1IW_vli@2n(i`Fwf7Ba=FwlWCg2 z%;R^Ym)-sNvYX$@nrk+R4}W??kgET%9PRNVU5^j_vcTV&ooo{pwM_GOo_?C0-IvS$ z&ivl}-Ijl6%Imh{ds3me8BQceQlW_a5rO?pg+e=GE9QhG{0X}Vpa)+cpn{z;#5QqC z0e>O|tR9-egg+t4<;uew{=^`(&G&eC3$`XTb|3%^J8QzvTP&mlKoPS8;RS)fz0;3L z3kYlkOd!X3+enoFP3&C9OdJU^1->2{6?~<|ve=n`xa#wVNx#5Fr&q{}m+_wTAZ(xk ze5?$I|L`C=*v{k*pBKYJ7PqZ`gFo%G3pyvfWMM*Z?-Yk!FR%z3#O#ItVwCKR!MpFB zpqlKoLYjQA;Gp>9-gEpxJaNOF&ugGocGh_wXwt)G*(o=ke6@hN_}4SECGamhRp4qj zdjVt6Z`2^yN!Xi_4c4&4c6c`sE@(;z4;{B}s^Bjj+*Fj(sr=6HM+v!)QUk-QZL0gAuWS;w@np& zDA&d#Fv1(RXou1bl_q*OaC|A|a0l$}vq^y+RQHFyT~d&ThN_ufP5~bpr?#robPE31 zCNyOfOCNZ%!(3hbAtt=3HmH`tEb-w@&7;yYDPm-O)=j@DdPM*ISftNSktE8$NMB2o zvow{Bzq!`*)L`PgFpe*3gkNeMbiAWM(z={SfrHleaTL&skP;k^>o*Sx4y&I1=FsD<^ZnZ%Ob5M4wRSkhD%t2cHk-UU5r}Nt?e-g?Zg!#AkwN&Pe z_{nxZ2)t>?s_-TC;A93K=cjxehu6zx-jtiG#X>f-sZKBK1yY71)$CX} zuBqq<@jI@w&F4JC@&qo9(171I#Px;Ble2#-r2aek;xc?s zYk=&sPb&e0QRmh6PwN3}=-1Sqg;l}9JpcLWYygEO8goCL5D;RFc;^|P&It#tfxHof z(*i<86zin3Sgx+Po7CsJGQN~Rwl~C9|F!SmqIb0$L&$v7};Wlxc>JgV3Xt`4y z2wvPPoo*Hf4Xe}(lzaf%k9o(zzA$x4 zrPl|DCdVaFXnKR3>?^*n=@~M;M1Ti5MgS~5&GH^0nQQ84!>WWCUnlF*+T>*Gm~6gN zuS1ZeJF8N!b8>a`vKGcH>hHC@CwyFJcrGTeB!o#F&&f_HA>mTTbF#Db>n-9r*%GOq>-6rq z$fPcQ)1~6Moa)f{Qt@2uOt@@dv{XE9a+a88iFhvB@Y!rCL_8NANo?mAA|6VXM-Z;d zFA)#yySLlUMoYtUp^7*brv2-!;X$WKca=9ZJXoFEYN4|;Vshu^8;x!9j+qovT~ z+?=$1|MaH1*_x_8rqtxv(nkW2(BvQn>aMY+SJur2eD?@1vCd68gp83>taGy!@Uj!v zQtRA2k=k)ogv_`FJV?mLeY8P3gA{5zkEtrP9&q zgLdmTx6EdVdv3OW6kq32_uS0YD+!+J9&ASNB=~f3!`nhmBQ?!Z_l(!K-O|TY_uNz! z&etz>4_*&>g5Gzjd*FUmYzZ3T9?Sv)5WRefdv5km*$*?sJvZ$?wFsuT=T^&~dXSg8 z2QALk;=WY(RA#SFxxt0Hr_$YCMfQ~UROVrK8}}`{Kx}GC-C3e9C?*8L(P+Qub5HC_AK~3fWI(GhLGp=aT(Ywq70A9Gx*Nb?Air zwt8|yC)6m%YTx{e8;X;=EoegzL<5VdS`0l90!a`lKfRP2Gh6EPPT^1EQ+a-~aBk#( zZFZVo!k@;Qyjxeagg=eZqjgRp{L%My5D>zj#vUixEv4|s?<<$l5dJh4JWdOamhh)B z6q1p3=zbb^QM-dK-A~)+efQS=H1?@ko)o$twRBrW9l9SX^WD0g!kFgPh&3DcCexFX*}l6@ul!_H?!T;AB7KIF~0Bhsqo?d#L@Qat?+3) z73=hyN*-DWRM|JAVyEN2JBrqfQ0#QI1L|XjV#f`*T4_VE)2Y(#Q2;J@qYuS+5%bN)*OqJ8{tF8(^$`P%XsK` znzj`UKQf-iLd9k|&64pno~_-$9x|TBN}UcuDdS;-ZlAATG9JHPvk)>KJ(8O`z(dBv z)S$_9DdXu}t*!M68BeDz?*0Km;qYPXMTmGhi`_Dx2@%hGc!_vAgFZFQhK8r}&}Ttc zXm~oEwN+wF4NqrBgn%ZCCxhX-X=M!j40>-_l9i%p;c7N6IiC5z+YqEMR!@D(CHd(T zjH)FsB|n|QCmm}-^3$nUP^^}cpU&G!v06%g@TJP+u7u{NQ?Z~%#?<_D+BI7=7n&dI zGbH(0(w@%Bn)ZQ|_VCE>gZqnt#BLPd^~p>kdZQh~z@wnf2X@17+Z#k;GQJ}`5yTP?738=E=JZwrjw#-xmn5sAG+yZtf0R$%fro~-Lz@xu>~ z1BiwfgAea|xGD6d_+jn)vT$fI{`~xCa|Ci#_E-n_R#x42e_BChc~sl$V1sv)Q$Qn z>_G?oF~S6WnkDS9ibPVKN5NBQeO=W(9SWYp#mN2gq2Mt(vwyt>JO+FopAhImmE?7Q zGNTK3JvGdRe#gU-ex!Z}24v2pzVtiNB>45A-w}tDpC;rxY!$za@m}g3Ci2WCPxX#y zpiNg<@*Q;b7jJGa`3^`=n|k+N@*Q>+>1gNPV`XYm|0jq)i}Pn#p@0= z4or2oQ%>Be#@X0FrQkNzIGCO8^g*a`+}5wlhw7%VSyknsm+I!?#-%3aRNb&o){X9| zx}juKG^Us8hAp1b`h@02t=76PQ**#MErM70Lnoa8m3bV7VlfjtW!BTP~34>-b6gP$1H#f7N=)CoJMf^S0W1+-(U1kYx zcIGH{3w=Ub!)VD$g^H5^x@DO$SV}`b7>>kbg_)A+uZJjc`FKrEXJjDqwZ4G)o z9L=PP#*zn#;zC8^A6Jh_sAYB$TEDAh@DW_`4z!60PoFExnXSU+Nm6&&xM;4UeS$^dYXvdnd&;d?ZxJ ze~D|fENH_DaSh}wrzt!suGx9u_@=GdDYVjQDa1AI;;-MtHOw^XF!mDHP^o0uWQuE8 zY|!!NC9YxG$#Res*RZx?SxJg(xc8sZJEpjXueb0c#5LFguW^pAUmxNco>ld(OIovY zlm8IbxLf=DRMza&h*>io%9@==nac{ArL5U`G`Y0arLqRMic{1tWetAIxyhum<~1J5 z8nx5wArEB@JE&}?@{-UnidVZ^NN5f|%<4vYNoXjp8wC)^Fu?%w^kM3rPWe%#pXUp{x%Nztjiv0T$ z%g6#>^|tW`?9=|@y3+i#p`xLrdv||-sAz~=XtOOpR5S;}bR7cTDjF`83Jc#V8af5k z+k%{>qS4QNS*H*(nuBqI{Lx=B8rYgvt8HI08r>kCk&w~22faS}nkl1kNBNZYEE&x~ z=Z@}n{gBZR{ZkIN>!VlEAr^Xc5AVb;ea%7T*X1Vr(AONa2k=aVyyl>y-?%iJvaq|5 ze?EZTSJjBJLa_ym_Y@-k#I4s(RgN#r<2vx4p@WwK@_k2FYNKS;Jp&TW@)%+>X;Z|r z{CTFqV&%PD4|%fY6y& zuib+>!FV%Z8beec_BiQydo1_yl~x@P5Wfk;@>XT`&&h}Ky5_)>8h{8cySlFO7k>{; z89ZRn_j}#df8t$!a6%^ae>JCeA9;v>>3mJ7$KvV7mJ*+iMg-FwF7JChiL(_7X)bbz+dy=C`z zPAW|lu0OIBcCu#S6rmO3>A^&x>A|o(77M%;`#(MPDhRw@7FPi?D;5j*jz`?!Y|y-B z?5GL6^vsI{R6hE5EaQ6l*4!4p-FY4hyzfrQu$;%OzlWS(hx*3y@@Fy zgRH5Yxr+rMGYc~zKR@h$PWQ-UQ{r)gV1hpOh1DZu*|X0vXQ`4tTNkfRFf#;&f!XI< z_}rI*IgPjb#a=7R49kxqvh6{ODzgnkDNt2Rljw9qYr-n5+nGdV!-<@Kbc|xgXz)W> z1m{F_rWqqN)7N7QEJ^WjD_(J0pno% zCthD`P`VhQ!MuwMz(+yR?uH9{o||AEEDA7ihj#Y5vujt)z5Y-VeK3PateL0vEI)_R-!bty(NKAhy5(^9GKV?$ps$3O>|J#NEZsVEz5T$-+ z>tTudup;&9U(%xiNtTbML~3*i^qr?twh=g2_rtIeXz?0kONH=pijTaZs=#%&tz#|| zg-|95HX$K?kPPk(K4py_ci-4rAcn-9&&xn9Dg+gD^dnlnwH9}4Z~E64-Xc(eEfl9p z%_dx9bV-C3$0hW0k!#N(Y(lftJb1xq03x}3g3H8RZYU5r?^rMQC}6~0^9^bax`I-f<=|}uOjS~u~%u!nUOqFFBQ>J5?hPvaX!?OC2F}P{s)$BINn&a z+Zdqw8`CiVp=p>{SpH!exfmhTUf^^&_Y2Jqr~$pscJY#a^QVhtKZ7`p3Wy71gyuDZ zKV~Fr^LpM?E0A$ukA5V>661xof?L5*g^)1*lJ&5#ns-vTb@)*(@)*T=roO<1Ly6k9 zJ!|Np%Qt6@K&_E9D+pibD1`ne>6O?A=LJ>9$)f=onV8~J;5%k!{4Ddo(T3#@wP9xc z=j0btZ2c<21b@s2fdOssO6#5NE}694$tNxD5K5#i5U-7z`ngL6z9!LrOF~?T53Um< zbc>~L5+hV-BBVet^A-y^%_D3{-0r~5VWO>ONytkkjZFC zHXJQ^eVHkla%4({MZaP=>H3PJ$L5(jGulvSuwJ_+9;HeuKH2w6$( z*HHjJapk2zZ-+6CjAZgd^+8_geERV9tIm{W0@M!T%nDU;HM!7#ck3B8JBJEJ(7#y>B zv0OH%$B^IG^c&BleUDdAn`>vD-vH14hrlzjGyMa2u~-?@UP5@0`%Gbp3kgV{Y?l`4 z^UexjBFuo|8bL^R3h>ef2(+IN47M^YaQr$j69XOx>~?IZJK(MX>IK^tiORk|`Yn@O zE-l!dY2Yf*@XQds67#Wgk-5>=PQUFq6`f5yN;ur=-%8Y+WsdiCnd~BlnB7vH`DEZJ z>8+ahPaE6KS^J~kl~vb&FWe1Tp3q~-1wSjrJ$;2Jb>jI`8j$flgI8|UU z-$>{*h=d8>orV@k3@T(n=p2Gn~bbZk0DD7HTL0WvI8tIvmr>1FMPvq z2K`e)%EbQ9JEmCd4_9y|coAo{Kva(a?jtM#iMrQfILo#*!6%OpkI#HCy-s@lp+6A> z)*8oH+oG9QzTTP+Je1T3%1=RI5~FG4OWmG+VNpHYoHeS<|E9~pO^iAgzg;d!;=^4# zD5A5R=Eq&-e?oMQ_D)T`Z)XTfUv?(=s7!GAD`rvYC_OKRn#LO6YN->tl{m4{S6ALN zv&9>#zQ>$K04En4i z%qo-^q={T;Ms9{I#R*270tqr)kG}gGS^ktna{Ox_5cS`@b_$wZ)8IToM(oaB#77>C z0S_tVTemhsOAv{JYw62R61^W(VkyQGL7R?c`jSlId?h5?Yl8|u^c?`GzQ2*@Pni=7 z*FOc~Q+-+FQW=Bbh`B-3>9^Bmcc#DrjQrc;=ZD=oc_de)IzZq;5*D$Vs22v zLXtE0xm;ydzWxd9c6w-aM8tejn8JW`Pbziafn+m#SqP5l#<40{!R9`dNvle8?@Tff#r;Jw~1D=a(==FOyq89n0_`jl2_$X`pcQetei(kHv*WhL& zk$cG<-ID;jQYJFi$^<|93hQS8a(s1}jW7G_`Q1fI4FaOfW|ViwsaKTDk2ZE$ z$$D#E+$^`}qN;o>^jvazi2JkkkeKdpa*w$v?G95PZ(q>)@&gwBb%OQnIB)(#PcBQ_G3b9hqZVjlu0lLf{3&BW$G+@Qu-Zz>_|j+16Cl+R!|>V4(kQ zZy}}-T<>7Ow1D%&V;Xf2m~{G>%{Rigp+ll#X5^yELura8C3N?rVcohPZCO&xI`?8< z#y?IR_oUsrr!tq1^LQqs70Qb}V0kx!BV=tKEn26AiZ^j}(~$YFyLmZXwWn(#4VOwv zqR+Iz%I6P#lvzlANdJ;P{cH4MJ>?$D{~eTN%Lnu~M)_k(#KQg$bIU2p*ohLsFFSwH z-H;+B0-X?;MKxhj-P8DaKBFWFUCepiD3VD~;X zBvjuNm1VStI@jMr%Dc--fi zrw=+;GF+=QL?{(TG~t`?oe2B2WW0Al>WK#lD@Oq+j(^egoQ{5+x?Ke_kU%&hi(J6m?b;fHc1d@hDwy z4?-7SMW#|lKtWuzGH-Fi=!uvkN2X4@K;D>u?Summl4eTvkY_5-Z^}yx|8?A4Qr7Hh zmNa8II@0fdZK1)Ez}LfeL~$W^@Q}k>UwWXETLqWsE7-u9C8fyZTV)iO4@|m7oQb)? zk0p^tMdD~=2YYgl1!C5r(LAsXu?ouJ`5P_&n3?^{&BPZYgb2n2^ksO43LsOt32Uy^ zsR1poFO$CdX$m@u2_P(DUt)!r5ri-pStwI7cR}?fLK<->%>c2mU>eUn&dZ1sa|OR1 zXJV`7@Cl_gUfp+UPrQZ9B1qyy#d0Ot5v>o54dRIENH@O?`A1Hv#sX{nYJF|IHD}R! z`+n*1`;6L}zWzFW)c;nA?N139GwVMY7@ZPVJeUyl=svoau=C7$&1l^H`yuQIXmFSa zAvc|);(!8jGR@l6kXrrbc^YQ7dw1UYh${|&3mIK<8dFuSM6V6M9m);Y?89{d8*MPw zF_?fcEQgn)hwQ-OsVf#6xc9uZf|(*S4Tj@zAB2kQ!cbbTLQxdlsqQ4g&<~V3Q_O;l zq=Bdq5;-De$-E=-QWl|D@ceS6{I9tEeutwZS%zvPR`AcdGRyPMXcO41Jb-duu0jco z%+cX~I2x$ew(%}8RqS$JWK@UFWs%p+lO2w==^u6dHxHkjYugynH81xXaAM^e9yl1b z9{9G8A78*q3UvU#0q{>*BMbAteHyKf{fzL(Y!Db1Sr199G0s&Z%bf^0cKRtRrQ#bhuE7wXV=Mia_M01!&gMj8$M$sSc_6@UZ`Yf^c%I zn<~al|Jbw=bYc40M8c}3YSfhKs`VBIGX#C_v%<%S(EUI}GvZ4MFeC4~MI#LjhB6ea zIjL|cW$DDV&lZn-a2$-Jhi?^OLK6IR_CZ!u2iFU~a>RTeJ!rf5*~Wq=to5 z(;~R)XzM=`u6ZzYL)`iU3@KTFqerB_BTo znq;fDyS`i7PVpF`ybEg%B|>|a4o^@W%J6f`A~n)?))2#0xRRZWq!VV-oad$0*8E)9 zGH}2q{}ce=FgURMip}P-8B|1{BpldJc9G`e>V43mfaPI@<>UsAA~I|MW7PtX)2!#s ziIoT4diU!+qua@gzaGiPdBn*)z2K>{+oZ5^BmU`x&it#6br2I8O$?vcQ>@5gt8UJH zmKF7v8Jv7FXr;VB6e5TL@h7c-lS)x8nd#`l9Q(Gxdn7>+mHOYz(LW`goc}~dEUFa& z=&=|5%VY0HZk9utROgRFD81sK(Bj?9jmoUDW*8O@o()eMrg90HmT$n;EUx@D>mF{Mk5Q5SCM?Ayp2vy^OB*o=1*Sa9v7WAL=p z^PQs?NcpQ58d0qQJUyr!IjYX9+)Z6iGNN0 zI^gy&OyLKsLYAijct9n9Kvr$)dnC#Sck$pbuc0KwVIz}vr^`gjNhb11z0mC579_E{ z_>t2%KYBZrezeLThDImU{ILL4KtqL3ipCcqS?ko!q5gR-RwI7UoQxa`d6m3IuD)w~ zC8<6nEmas|PcvZFrLN@(S5|YoI^>et5HK4om(5lhVpbn*Y|`s--y<6l8rF-dnBkiQ zQBq8T^+Ec5;eoiEs|Hwj{*gZ%|3K}kNObR<)9e@(Z)n5IjeGiTc(Dm6g zE1eeJ)`G0nD>}4mDzmQ8a9}=r{`w6{OvgL_H&*ylp3KVi4@UMk0as*XWrT_s4--s| zixB=ogdqviH?|uDvlpNRDTw`z6RMItoCX18-~fUAHv|7E7yP$-f`wfL=>K8-fLc@( z2D>Mo{FnbnkpFYiCEfy$GB!qpgumfq|J3q=^dV z+;3$0Q;NmR`cH}_r_^dI3Jg80f7IOoIkxu9hEvu9Iw*#rV|xhm7^sTL0Cxj2@S9LN zNF6(IY9jvl0!$|?w0y%mzXbMv46AbeH=`TZul-GIXlWQOjLNXyZYKwlx4E3ciRD zJ8qC4Rg)Ck?}T3h8xNsvFn@@n6d6R5I0xhMZLY6nY@>Yt&W%Ha;cBC##lsi=Sf;w? zpwOGvr&5?;>_(QyU5cdrq6iJe3<*LxEh{dGo6pF%N$@?#l;+`ic=Gxc4xLh$`hVlc z^#9(dRXrVmfn7}nBP&y57eWRVS0k6d{}H!$vL$2?7Pj{w)B(Ew7zvpeIk@OKSb(8S zR%S+e7FI@fW;Q}S*xv_=|2q5co|#}7B%JJB9SHx5DgW14|Mi0U z7&tKSu#=&kvxA|NshzRsU$ghW!_90QOzdog42r;DF+DIWZ7OeQYf4B-&tPV0&R}e5 zX6VGk$Vl&CVnzk~Uu~r9%#7@Anxng7rE|84dE>hC|J|4&rEuU!U> z{)Z!8b7$w4&QeDC2SpFMaN`V=Pn zk4AJepYIPJ`GA@hkw7uCf8J3rsqbGoxxTpm{vws5zqIcEx?Ai2yqe;2``D23>2%!> z=k0W2e%?u+P6JJU(*HGsLI3SYrZKOw>h^k+LEq|)oBBooJ;{Et5C0Lps($NrS}%SX41*2b#ayUvrz#OLFOmp6`__xtPn9D(P~li9c7wR3^x zb$@ez7LNAvehj`w4G;84H^B^dZS--^#CAG{MDuJk)!1ajUDd(GgzedT6ZhvPbz z{NK%`{0`qYW01TjD2d#5gw@$|`ZS8yF@f}a-9^A+H{Q3+jt9p6{=%fwcp z*4HV&-qIJ!IDDF)H}5!_FOMq!`YITG`$`1SD9vg8ZR0n0n? z6YgO-UEt#Lc45p7#ldxWnBU>G_utKC%==)Q)ZLaXKQQI<2pRwN&!X-LaWCm=TDHtddEmF zdj#*B^ZwUW?=XJ#@AosSrLFCz{;El4*!;IoOJ?% zDI{+Rx2O_pUY=3UgSYX9yE$HuSo1Pxy?3WgUW;1-dJKj;`6--dNC$-}Roi(fPb`%f zFPrChUOF$pAX;?W?G@&I%yHq)V{Pj#MMcWD#eJ?yqu#lEd>Wjn|uR>F3F;kRNuHogYbA!1z{6&A zq@TY?^%t?mbA3TxrXKOJzAig`XQ8m2=6YCyu`Vun-s-($;aKOH1rN@o=hw5Dyy!<}Q8eUqvcy16CouGQoU#Atf zLVr-T>>+h-mqV-HSY6atq~Gy;;$cK8+qz$MS9*B{U|m*~Q&P-r4}zfbaK`~5a6O{1 z)nLc!JAPX_8f%x~Wm)Iju5J?RL0XZs4nEIj@UBsn%RpWx;aKO(zz78SWV~$F@o>h4 z&dcPL;K6PesM@*K%MV6?zxVlS)fQ`uq`uEG!w}o&K65j7L4HsMaoLGuef6Uik=8iO zXg90Bp4Yu@hx{|7Mtrk-yLTf;v+VlAupx!!rO0%0=V@z3@W;$8A9tPp{+#yCrSgmM z(OXwtb|s8ur@ah}mmyj#*ct`B*0mKQVioVIOxI_t^uCOYz?QnNvX)IVO7?cky(eN5 zB3nwgduAY4Z5e)!sajJRDTd;cZpivS&6aNW`se0czv2YTvOqPhy);@blcYoz69j*@ zSawAkGg;!d@wu6Bj6Z2WOFYhQ<1XU?ZKUHOG#P8P?6wUeNOT55$O5gvTQ@rYdG?jcB?zzvEe&MBAgS znIb%hd}JgYkd;_xzXsC*jc~dKzJ#=n4jaMtmNYqUEpP9X`_dE+Fymu;v*83RsP=ZO z-gt>TIhn>L>FMJPHr7bSW}j(O7UKc*E!D~;J*)MQbNj6{+n9sH<+0$81_LaM$*rtj z4Y!mCsVi%pKVf@_6r@c|7I>CPEL&FCkz5TRfAMGeVv!wpHtI+R7&dHX?3hi_TXxeP zv)OpGSB(FVf+O$L=_rb1GNakP>{C+ln22GxSMMe5;J}yx?O?T83=G`h~6Cax{%)$rq*ft{=DVROYmH8~T z(Yx8~I0k5p0kaj|wbn!frws3H^;(H>T}c@7CYDC`VJJ6>1`rv(6O5b2yVvsi0LQTd z-QHc2VYPaDwG*HGg)yB|<>0gnllAZ%(rqluJY$k{m4ZQAC|S$y9Wz#wBf=&!3A)tb z^Hu)30Va218Mx}ld{(=L#2+vP5SVrGtZk<^%Si@aK{aypIVm)t>g#^GP9Er$;45^5 z65?Dhuo^*F^=9XzF{zuHwEmCOcQBEWd|*hPG;X4bDGn6$^FhAXUJ4bVALe@+x)SE# zL3c0cbm1D^yps(BedOmqzzf;(vZ&PPDeA#J*feIbML%K;&l*@48#XE1A&R@RE$p*8 zOP#~NjjI(v;wm-X9mOxlC?oLZ+jKfWp+8`%21i7`{>;k>jUi%7T>+$I{Y>l~j>SH? zVBT)|1b0r)ws7d0^5Yj6hlo`dsN13_Ra0H=5LCzuzWeD4DhKMAaxk9Z-a4rlSS-?y zz{Ls18SZv@9m2+}0tmDwJ0kD~&)#_lIs?6hZ-tm0VKkuUs|>b%I1^!s2G8p&_;d}x zDouCv5Dsh}?(sy@l;cISRL7=WGpYk=>f$hc&Uli+-FQc_+m|fP_GVN_S-(*)8fUH| zn(mvgb%~SLlul#|oDftjBd5XS^F0BtW!k|PD!V9V_`RttyAC`BVG*&D!gytQTSICV z1|&V!1s|is>kW*SZJT7h`^}O7XdE|bVk-vPtpppNs%Gm~j?pR9bY3&Ec=MfOdCp|+%}+qu() zA)1dX=*Ud2d2Y%PitMeszjtEcjBJK918nZx0xZ|rJ%}npqrj998@1HxNGc%`bX@Yj znhyRt#osDG+N@)e=;ISb+m7%aE^ht2x1ei=VUl>7d2~jWj_aoI{G%Jgk*@1uLPw_Y zC!`b{M`sMbdN>C$-3q6jeTzD>`~AmpXX?f&mn&CJVAtMp<*q*<@FqT6gD%gl8iuf> z@I*Q^*bG|*6OTFC|J-q-l^k}XXT1kd#2cBD&89oeqb|ZCq{Q z=MUS5+{gA{IO4fvMp+(NJ`hg}NiaGcvW9cHr~KsQ)!|f0uI~jNhCh;}G3)|X7N*(Y zB#Qw;OQ)Ymc>C@6Q3g3$(^qXnR!%g5COzX2{$!tJ|M~l>ec#2N&-2CI>WY0I>-ZGu z@McsqB4b;YgU>Rkd0&IUK<49zh}ISHge9xfrFyW+A@!ieZL0B@Zdvf8shTw3cEoH; z85ls+e*I4GtN3+fmC+lWKfrDHRXibM-Bk*v8uyGNeMQ#bCr5pI;toeLoH{Db&s`Be zk{z?iFx?Iq^APRa7rU#}YN#EK^p-KV2AN_CRP-AhD*D3bsvZobu)dvBJFz0it+AgC zEGsV8LXkTcVlKW`P8nyv93jw09CtYPmMJh49={?h@FYh1&H11_evQo_VDrQ#Ug~&O z?-3PDq-t8Ht_b8p7Xl zbWnHq`1EvOdQZqG(l$OfBQmeL_-Q+5A`?hLrNMm}gxoQfgmODbiy6C3N5eZPV} z3=1UL;tm)u=e{{XW&>6kJ?re3_4w zbq@_U1i&Xfew^K{YX#UfI~`72ccVM9E&OW16HKSjMbYRTM~>Nw;v=U^bul_rgqP@R zP%L?7*Ij#_3&JW94iCn9+0t&_tW)6Dl+4;W)DBo#i?mO2{PhD6>tG|TAjDs5-3`d+ zT5HT-rkTvq-8Sv`7Z%oQvwTu%^*MR{fvHQ{_ zOdd%qJ}HgVKz}Q)0N2Dg%lRN-LIcV^P7qE3Y;H(O#MFU#2xByP}thfevn4dbXY-1eel9c8OZG<#Ka`(vWBF1ix z%(6{A>fLhsAZr9b=o%mS0&~Q?zD-rdtZm|--Zvriw-H_&`lZy1r>yWsHLm+>j|u4V z)^_@D6HoEmIbiC7A;k42(uoHhuVGgol)CffyfQ-@VG5)@L1LI3=jucW6JUCNPi{gi z>sOhU3r4Cd?h9ey&9%kMR>cXpP(ygl^bdw(5YsWTd^6!w;T$!@Wv%2+hH68e4?-{w z6CQ#0;PIgyH|>I0q;4MMtB;P0E!BZAyJ|R&i;>cScpz5mj7YFA?@IonTo*fus_LMx z?GHvjq~0BxAs`1uKlBM2uu0V+1WQ_6_(A2N%?@MoO)+p{2NbDK4a7z{iyxjhwj#)E z?IVLW^4NY$!<5%ONkGl}+=r-j)ccwS#kd~@09wJ4`?(KiJeZ6mOZ4+|A8aCvdM&)I zyH|#WOOUVP?u8k1ERRCcICtmVy1Gebz8>81FN3y9+e2WO*oRxnBpymY7TMxJq}$06 z&=0Z07Wov`qu?faHj30bAkTzsXCEnv%s&n}5ZTgwT+u)r8HYI3fxFv+1#D)lnOYO2 zg^QYJbsVl}A0XTh(&xBVKwJlo{@QjBy3?+PnQ{6FcHqsi0$XMf?7Rrqoq6pYvA=TM zg&VPFOajw3Zp87m8Im!u0+f?h%;{QiK)st)XUJ8HRmXOb?kT$E&7IyxsM(yFS179c-KU|k{EJekUL>1A+_C?K4Enr5l?c z=6w(}*g^X3x)5^5UEA?7_1Ps?p_?J88e0!R5vL0zaXDOa)1$gD|FIWpaj@5xUQqu^ zt5L0b-1E?v#V59%;KcmLs&p7q?R_woaiR9OWnF*kY`}xT=>8SPsp=ql{y-qcmQ^Zq zfsbA!@{tp!BTaIWJw1SEXP1$<%9%#KmH}c_8Uf8QMi*u1*$H!;k<3}UGDPDW ze3B=onYb=OLZ!^S&&C%;1WkQ2J3Sr;v4Sx03-uYYGQ0sZU|keK-Ak}hX*^02K~#QD ze7%PkhlNBLY-bP4DksCIc~J5P7N-2VQOF)X$y^mgKD-2|G1VE9@Y?v8RpytA&sLH{ zFw3RPdi<-FqPg%Op#8x9L;HLrX|VA-KG(-uxE9oZ(CBLbR-|1YU8>@)3Pz=!ug9aB z0jYzOE>few1-KzVG}zZ|IBsE8Td+mUdhuJxDDeI&0>|q>bbiJ`tQUJ4vMo_hnb)#y z;ly)odScg1TnUb^Y{zQ@4g;P0H1CQ_tY1cvQPADR_QyNjj zLVQneNm@J{bH7NJVHZX=i3KU5jvej#iupYJC$HRq0%9rtb}QK{tBvum>&oQ zX%K}+vR4hW4$1%_moZ90iTXxSE3+&`L%cZyC)O5~zC3`q9g3FHrH6# zvvW$|KPf>7{&M33ZE-CrL80__6_n=6zI35hb3^O1@&O$c#tjEjIOUrIF2I~p;)*iG z-8fu4Jw8HoC~IE!bQ>=zdIt^?$pAaJn1sFy@kZAW_ipc+AnQY*S`|{acxywAaF*TH zggLIup>W=xCNp^AV_fUOg6qyfU`~?^`0LIPzVyRBu9+DYG4GUUes|DYrgac;Nx5%q zFaU5pKU_%Og>?-iUG~3TaN>M>WCSbswTHe=hzC3bh}52bIO+d&J=R{CAOD;)Lf{~I zXH-2)iJ3^(Up2oH37Q*zwxx8hotyRzK&xwESp|{XRF6cbOX+J3y0}8cg&SW1@nFi0 z0)-pj4mgo{^uqym5M7-$&*uF=;w`h#G~@&i`4ZI z8X80F{VDg-#FTF%*Z$quC%8RBGE20Q#cl3%ePUyCiRv^Ucu`DGr&}nzgVsa$Ep(qs zfYyVn<7ObVVdbt$BLm{l@rsvboq);WWT$tX?{un67V`VR;M^NM6yCwfV({Of^!z{z{HNX8W^R z9BCC`^90WkG_lN*eFdxvFL10ZX1yjl8F12t0f~I&$t!`GQg*o+8RG0jDPpNJNkhnq zw|wcf8l=}a8%x`rDQVawcv%Z#gltgG(G6G_7R#IYRdP>Q}n zd5Ra97}Wvjy4VF*!Mk@(WYO~D9ZdA~X(m~AuD{Qg+wR3%%xn0n2F$L}A#Ck|A~h4v zQCkN$yf+fNz|OVi*q_KgD7rpsg!u$b(+zU)D}FM;Ni;r-D-9?2GQp|dcijVX1wg+- zvHy7maWw_!^PF`#Xs(YfUBaZBku+T1;asYmfywS&92V0n{Y#uJ0o`ZCF|YLt3E-On zO-4PvxW*g)?zo0-az};`Z4Wf4ib&N^#r$79=&*6cQx$qU(jj%svu34VU_}X zaQEYMvW)uT26>5XdtyEXhAny%gU(eNZbaMAby3O8?B?6ir5dVznu_|N6<-)COv~2~ zT)K=l@`MZ3nn}EwSg)-r$p|P;EzIAtNW*!YQ0>eJN@XJfX9=!-$upba-%l4T0dP~+ z1oSx+r$Ys_y8yA91UJ^;<@!RLm$+Elmff3G$_MTalKKG`iXG?YXin?;U)V2k?EvIS z>yN+@s6Zgr*k$w8--TGrqjlC$Sxn>a(kTa3R?UpcPit>R*KryE`OAr)BzUF~Cov$M?0)OY0mj z8DKA1jH@F$nQFT!zmSLqoV3ky)OZjzZ1WKhat0 z;dB!sM|9#O1@43_-CBGaDX$*zIk*JaA`NkTanZL+Em)I3NRnHIKsb> zkjGV8?ZgDyV#f z=)Xg{5?h{!c{ViMv`F>s6%2Rx4$l@^+#xo)1xb3v^l4@Ds|~uW4fWX-jQ!5{5I4Q1 z9R~^dITV3kdi)A=j_GK#H*Jq3gRUmud$m4nVbn$si911{);1*t@HlH_d0r#6qMi`w z4x+sc%?UTQ(;0JY#?aDjfW%8diqoGb8E~IPDHG-ly0(RF$Ji)ShHAfk5EdGb|8(Jo zp{aTU>WJ8Oh^B5XFj3wQryA84xvG)(>|}if3s@6~2tN5J#Y}0cj|UC{7JhRWkZ%~N|2Im-an%a2jH=O7UX~W1lOF^ zddtgD1tdQS=``#k<6MmmJm!!2S1kNOJf7p%V-zT|yfZ$N{s!aZ{`_rKw!v;xh%rZo zLWzt6NVbRrvvutaNaiNVk8kRCoL#N!J~}J4spZLQ)`3m5hZ%)nzOt(q0?F9q0;5@L zGzs$%WpZBMce(=%J2d#Sn~d|n?u&0uvXl92cU|w@+;M@Z z1Bf5qc-@G82FfpY(DKAv#7EkgRr9ok|9DwJbo-(`ptdnuNv6x5HgevCS3q+>bW@W) zm0qEl)@@+2jUB;`C1bmUG@pVns2mnK^@*H-jCLH-g8=1i*7wD^fOIX7t=*0@C_a9b zySW$mRM2?7&7o_L(3#|=2cavlQ>Z#pT6KJ5dJ-$nUjKG2OnK6AhckqpMP)+}^C1Z6rgs+5GRP zvYW<+GsP+ANiJX&EHn>RB|6MVcR1_xD0jrVN;eQH=F{#Sx)Q3UjfWC;4s1+Or_0_y za+ld4mIk5^9-U0lMwxg`k#+UkD(HmC>Vk@+8lt|`UAlaqpJ>td8A? zB4>Aof#@>XNPnLDqSJ$BYM5&DbAyLc#$_dm1BOX=Pw#7MI?>+fO|EMvva#q;m9<1V z%{N(>v$D)q%)k-&k?6k9=qU|aIK<%1tkx=$L72!C#9%HB_+S=8avJwEYx3X8aF!^D zcn3|NO3s499QgBU*^evP!`_F|$-3I~I;J5Wv{+8LpM|{wpRZA$c#25kiM6N%3K%Sk zD;?<`rQJ!N-ph=>9LDugi%+VAxkwvT&+*CB*D>e@R*uD%8~z|F5_}v!rKO>K9ESKA zwv1I^GCqv=lc~C)(Mg(SUX;Va!w274g``7m$dsx2u8wxE!(b{S2aic(fHX39AZBF= zyxNSK3s2dRQ!9M%l*u_fcerC}1f)_{->h_;jxA)2&^-jg`lXpDAvKQl4Bs$hj6|hy zeTPcv7Z=_qb0y&mf9|0KQbo5>hVM1Yf_8DtuI85f|)F0a- z_%Qk=;YAB%MnS2t)kz(wgFJcP69aggQ~d|PvCaU5O%*5Z82j`e zzKqLt_W)BTQ$a0zVN6d3mm_gRB^pw3xcp#!pE*H(4#vvT8{RH;lo9*b~h5b09@2SV+ zPV1bg;M~6Kn_;Mi`OFY8&trL~gr3dsH(j4+BJK-CHON;l29MQh5g+9I+M*H6P1@Q+ zi9Ml^>N{D{LV=L8HmhpQxZ<#HLoQVq>3i9R_=Fqap_Pg2W(XVSC9EJN&aT0eb>vRapU^ zf!Ge3&^*qJ%&7`m7X_b7LA%_emiQUq5g7_~`B3UaNPl!lgFL`zkICgj@y7ZnoR)va zXZ}Go=qLq>*LSRfzK9H?yWaIf*NwU-^zm9KVVxM zrF{xIfw-B2?Oxsoz3bUtwFD(*hunqgvJyaH4q@SDUf57qn4`FmjS76Tsn)pIPptyF|+oNAT-g$k-Th!ARediSoU90L2AEB z~Xl9*NnZJhmG`>IHCFQrVpa@0@Q9Fv^ zgX0vb*DwjTf^%+45gzp{6yEC(m4@Gd+qDxB0^PFsWy5*sw0UL{vYH###Mamuqcei&zU5xKIrrtkE*M>A;M5Y`yZCVdZ6WtIR|(@Di?@T$oPp; zwsk2(HfXp%md${~DSZ;`P@E04N7N>qjn5=Tj?%B~;>t4vCm4EDv-758x-4Wk4Uhi_ zZ!eMaU4zoFo746Q087S@Sv0b36bR1`fG>e{mKQ>>s`0*R$yD(VW;0p~I4TlpmoI~F zQ|$m8d85JrKX)&%EBHVTNGSKFIWU>TyWh3l7EXk-sA+bU2QOVmVO zRQ&|_lG8jc28S$Nc;V6#$`g^K#!COFylY<4cQx+QPSaE^XcO4rUWl;<+vgOYGs1Xc zmQjsSeJadcg6bv}lhabCiq&$V2mDOPlVTYUkE!hfxm(E2oo90QCfwW>`fHvIVlPsp zG+Ty>Y53)JR!8Ybe&B($VjpUUYFdf%NaN7YYu{t!lUPcN2>Bo=4F#QbZMz2I> z!QmTg+8=7;A-EnbPxGeb&PPG!2Ggj)A*lD zYe!VZ(-x4sBH0x#_n#K;JOPnG$a&AEf+cjJn5FnhCE3cV1&$}?m1@&1(i%if3OZ|r zl~WT*^tOA7*fJxH(``Zbs?$!HM1z#-YexLNCnAr$G_GjWm-9^sN$r^LPG*CeFtTi< z#X`_Yy;B{&Fmzce7EznayJU5F^ou)!Tvmr6+-4(n@UGvzOs*d{7A*gDzxtM!Ky+Yfaw=Q+yDaYElILKm;|vF(&r4^VZ&PIz{u zKY!m;@a5hq%CbLNWQwALSR7M)jov@SMM0CGOqPg2zXq>VbLsqY90v|=Wrn_5W#kj< z7xn!pTeB_4!-edUHpJ*%^qTg@nG~w)!Bz<#mmU<}-b^QSAlwUND_(UAISrPvMan36Lh=yghGx`yNgz+P5g4xG=LdnT|C!Ol639z6<3phu_aCX z(g!>ldL*u}@FiASFvZ07n~$?%K&_)koL<3q$uzhX|2sup-raB%FdzDB)G>Z$iva3c z{mQYfW+7Oq%^qSQC|#}%4c4sQ{XidwH0sY^UI?fzA!pZ*EFJV>FLL{IZ1;l>aZ6InWi1qN3?s_b_ zTn*!AF6vlXIknbS4`*h%NsIg>H%-EZf)rI2BBJ`?@o~_otJH^P-+1Na%Zpm1^nPSa+>MM|J&)Ur|k4W_d}M zx!c5=NLYkTP?oHS^--+3a5O*kH(6ejj4}Q(ncOtN390yI>lK}B3qGK$9?ddv6?28cvm&n2HCk<@IS6AV zqL=00{|^9QK%c+p!K4bv_3ezQk$9CDA>Eifh*}B1cZ(E>T_?^sUxkqfmg!Kj@J8NP zP|s&oGd_4`!A;`8^9L_2DO7}md+^wHcuLBXMb=x=C%FNOB)PB*^VZsoq`D1&F#*FO z3GZZR?Udtzw0ANu;PkeEuCV;wk$ryMca$G}mHtWZ%l zB2pTIC!bj%$~OZtaz&{-TWugrCN}j_awPIAPwWWC7zuv>!|*-l2WOb0S- zELbnHd2nX~votR!!wy{A&bv(A2X5{`HXT2k0+%?_6FJzbuPU1J!&?q%a~OH#IUmgGs>n9bqMO+K#U?K$u&ASph?yE$_Q1M6 zxU{C0Utnn;NL`rM_GWdrqZIjU?UFzOkIQ>hg=_pn8b27#ulXF3`GGk0@?8~3>2dU$ z8zLg&Kw^)h*A9Z~&3Qjy4gH)v4EaM;)#`o_2=zgtZvLM*rqdzdA0+ITsR(@i1E4J& zWRwSfe|VagFl~>10QfvfZB}Cc0Ob43W@|Hteginc?Ps-~LVp5a3931DdaKjVfG2xZ z4~*FV0Es|5DqhVJ2pO2J`p{bekO5rAQN^Jb1I}+diOaingPq^DMa0e!TRi|WV0Ktq z3#}nKLniM4aXLwK*1C(I>Ct%tAla#!vqz^2#2mLXTgT289Tz`Ij%?_Jfd)IEWPSC` zXiQ2AM;6;`pv5URvwrrp<-qZ6Q}#|3r;P{Ffc0uV{nPdXh=J~bW@r+E(;F9d>}_&d zirC=|sQ7p_AZe^`md;|k5`3H_M!4AA1WeCKyfvW}N`>9TLH>z-Qz{)^U9pEIE48ub z+~?7drDDZ26|9B!Eodoa=88vJ==Fl!T=8q`&>05T__nz8bm$|4pcDl+pGVi3n=EtX zdiAIQdUw>p_&0R4LEg;bF`hS}|ILj)Rk?FNo@P0AtkM5_b=JX!InZjHNa(`@I6)uf z-L(g#Wp}5O5<2`8HV!MyU4(u>g_+${UfqM(P%{f$5qb^bNa$H-dF)I?H%g|8Gs(3|dY%vA+e3Gwt8d4#(U>jaT@9tGd6qKITaP0KDLWqAOB78Q+ zg0~442=?4MU9`AQrl_Gp&n@&oFo%wgP3X`y2Ct|YM2CJ}IJCfhi0>G>f8m(8y`DSt z3d6OHZ6_)_bQbGKMmm38=tI`ny($rm5xSPayqIOC4<34)p~0G+{TgI9M59w&biWe1 zre-@_b zf9UpytiPJ_eZU}Q3b*;#c^A6<{kKoEzyAB@`uyeNPk-W{{_^$*`vA_uW2}!al}NsFDLEUyE8ybj`_-PS zzzp2Q{(;XmgCd4r)QK;wF!b!IK)*fLBSJ<19$%}s@pe)~hi9n+fQYK)`?)V@y>1;4 zVHd&ZmMm)Du;&11&1&BgHYkp`Ue$mrY-hxQNLaP!=AY;dHH4x(rh-XKQMnznl9{Z! z#Cdd#P-Zgrp8aXEm<7B07LH3?BVA6=77kYgk><7X9w8pZL>6A}wtofvO`D8fIOc(^Ge4xi zoB{;K<$8M%H;$>P+n(TW+&BiZ(#Fv{;gz0yILDQ_K@F0xx8H-@fw|-Pz_eJ_1=hN#;>@NP8{@?m#<3-J^w0$li}Bd zr{^E!cNJP9_WVP6zn$_*{fC}^oKL&8cuvnhR`XQ9DF{9P@LCP6uqZ!0|DYcGLf*sg z^!&p(&A9<$&p(bcJc}KA{$U&osO4OQrhn)(-PP1?%1__FisEovG6GDTzJCnP%{dn0;Pm}N zR%3d#VQBovWXC8kcm>4RitXL^ud?#G`CFa7f53xUbmY&UzJHYkCa&es_YZQ6sLpw( z?_Xsr);qo6C+vFtt?E?tXm5Ogt;$l5#*>}6SnnWks!Bak;@CZ z#OE8Ts6G#4WFi3=1u>2T;U71QDzl8RDF+)+SCE_kSIa_gU1i@dz^QCx?k$qxh%(?=O>d$s=KN15|-4Bm$L@p=1`4i(&xK*}xJcSzud z5K5id8|fU#q15C3x&uU!^K5Du9T1It+|GAl?G6Hx!<$vpnmTw%$icf)pRNCRc?2JK zp){|w7sD*>iwE?khACNV?Vvp=N0r749m?6?&D#JSH0jnt`#jL6l#ir7-T|%3#gK~w zJ`cK;i+O@0`13%+axt5mlV9jrzVA#bTRvc0T&s$eQMXF5`F2jNjg#Z$q6SFPGSm z0y3Ia0L6)n1Cm-=Xx=?@1F!Ko%JO|S8>dZW+VT>_|KPf1V6rX<0}fm}dTK)-*f@u& zWol;~lsVU$xw)#BIG}V+$8@PRbwKP?0!}qOzd`T3AH8nTi3X57lnDc%oqj;|cpjfe zZTl7kA5ySLsPE!I>~r+Cy4D?lKS!_j4#Ljwf&e~mTTABd6cBLf+;jCt+yw`mO#-8! z%V*hIKn1uLKJxDdpkt)4M8!(jQJ|s^@yB6yn4{ z)Tz;TWf6x5!)tT-Oj`>u3qH=ST;hwH+pn|cR66l_fOA#Rv@4^u7R*E}`K;SI0$|`3 zO}p}H|E>zSR-qQfsNY)6{&LxN0p8$vH38&?wl%1qJ!NAYCne4PRGIB>s9)VxX*7cH zvR+L9A-C-*H!D=VNq)QeI#qInQ-C&5bniRlUg{wUENgG# zMqhZzcP*(#&%&97+EdBLsilhwdvvrLCSv zUqY9AWiFS3d92dfF68A>Xej=nc-Q@M1>RnQbE<@Cf95KYJ5|N<3WUfCMaUc-_ETlQ zyJnfnwDqWp@l)eW<(LT!@hBtQ%}#gG7rmH1$O;CFfD`aCe@LJ9@IpXt@pJROc$-H8a*%Y2 z0OIgYP!5(pJ->M>h^o7qKz@POg3qTU$a~xcY_`#a^RdwUr=toXvK_jg?wTtJ$Bk6 z{QKv@ro*?gGv2%UZT1~1e_q}?@v!x1iC?N82<$#wYG#gnK8p;9KA|lU@w^@GpiHKz zrhqbV4dHo27oyEN+(eL@Nxt*qEE)?UdNV7~U))E}aSm4!pGSL8F*I#zCCK3}+>3H) zEPN}lfw2@7xYan7+xpoFr^hib4106cjDNLqP^Plqu_YD9aQ$^djP>LvaQ>;p&dawr5lFz!gL;luxdpf<>A^qeAVqp~J znQxX9{$#dfuGA@_Ep|^7-bV%Rm>qSFC7c7rQK#X7hb>(Nf9H zoWS&XaM!9*W zz{kyUA@gnZaSwkt5Zj+U3 z^e#5gKyJ57C5^Xjpoyn_o!K|YxuRyxaj0Qoo=X2w5TjDAAPFbn4k({dW1xdo|#0>fH&5s|O8&)Tw884&r>wu*_GdA+GY_ zH+P{k5!HsSkedH$WF+m_kZO~(`yOdEbQMvAHc70M1-YQ)yR8ye33_0zc1yi&HQa1` zNcnEtBttTK@%zxsp$ZFzyHtuSvc;itTTbTt4r;6p#W`|BBPGjB@byXq?sHjKhONOyb=SjnhFz z!;;UjmjZlTd5Ndr8s*?pdbI+i8o>CXws5~y2!Vlcz(&G&Zqy4U!t*&Tp5fYEpuqu(diPE$>Vewj!o; z<*U56E+DL?Og9Z@tK*_NU1Ir(rlFI3Ne)u5B%Pc|?QM71i{a`sM`9?T}!LY{6mkCk2Dq`s_jXT_P2kkN`mej}6fviY6Fkz#jPQS{5bFz9oBD8OG3|$ns@ECE`5;a6Iukp~UPTfYj?ne^c%8VNHB=rlgcBNa zbMMsICYtOkM0H^nT=ytLhdFH6<5%YXLxzEAn_l`#%LrQ_*ZuYIz_ z%M-_b>#Ox<@Z8rIuP;x3?OR0>Co;enu{|Iw5+Vs&i=q=QMjrT7wt&BhRG^+*viC7R zkqutU+=%v$gt!vQ@P_3la)S0#O+KF;Xm#?;Ddamr8Mi}G<~{~-klP@#79r>Zh9{3T z$rB^ODm06%^-?FKL~(JMuH+Dcb`}A70w9E}kmEj35%dXhO^(~6`yCQ8bWAP zGvMM(q4JKnF-*>)SC0WYiyyMTRtV@jORY*>iGh^>=)6`EO?FHeU<2c%(fB9903$e? z&;H~iUZ?1;ItdKaxJh86z{7JO-O#4-r z-1D*+-psGQN=V~kOMq;T!-uqQC&1%QD}B7u#MlzHx%IU|S{d3;Llvqq4Gs013*zbQ zleYHf`Bg%en_A9df{$5oOegJ}`^lnXI;d*b^C#<$=aKeNu7Bs~J8AViW(_HQXvf~B zzS;p&nPyk@(ZiJiD6~Krp_`L)#Q-iCQ@XNW;YtF}Un}+vR~Vff1S&s_S01R|8n>UV z;fe%u)4n|AaHWEAZd-WOhAluE`;#Bh3NN^uL~sH z^}?Zh^#j!N$sPJ|L51-Fe_Qul>p~0DL>)@|Jnz5oylFvAfx>-RXMv@l5aD_aSJLJ~ zk9AA8uH#T6H*VGYhTFSN$h8RH<7FQnpO-f%373QTRUjlZn{%0npM}0P`*ZmSehwCP zf1a0>kXtu`Qnp}a90N`a#RDlRRUUC=3_Hy}FL>I5p>-Cj zU9!Caw#G7NFB*<8H^|eqTKolA++;pNV8Vc+o7~P@zEF2yQpyXf7*Ki`9?2ICA5eXh z>0NK-w?TlIeI8_0e|_&}8*Z?_l#Bec0+Oblw} z2Pib?SJUcN8=%vjl^MQ+0@NCA4cvm&`fowAJ7MwOYd1i-*Nzq<{6N2vUjo&X)U%P| zI4x|)$zB9tIptUO=6nZ;4!JpNDl!PTb-Wgif8p5=&Yfgu>EPuTE*`~9^HRbv;^?8y z%e$aFaQBlKECFBxP9IwiMZKDT!1c59w|DIgbpY79x0ABRvVqBbr%u*bWq|Ux>HVH# zQ3C8&Rki=4hyg`?UG?~}=%KUTRG_C=BmoO!J6~%*)Kp;gm~SVG5o$1Cm+kD((Hd$t zmIYI3$*J*JhEuZ3+tha`)Z=uLGkF`7P`-n;c?%U2t9`oaveb4g z6bE4#v=CKw(5@vSHHV#isscKtN03`AsFJEss?>QI;62$wX%pTFMV%VwltOj(sxRqX zI<;1E`@Bl6CRU>tipJ8c$=_AYa4hAT9A70{vGi+l393LnR*Fr=;wt3|g=MS_O#PcW zG&lMhCe*F5V!Nu=D%QCTVvpvM@47g$26&})tfEs~D7D3^JGRd*{(Pv?8-)9L-Cd~a z8z2kQRl=hRkbPW4zWJyc^efxXv&OJ9LFP4vp(K%Pb81EWC}H$bBo8Hzeow4Y$WS8L z86NG@$z4(jFZ(X)xD!h-J3-9;{3+Rl985rJBzP)3Nn^8q_7sEyD8fFupJxGSBbisx zM?dwZytbBm5vx<M$va$x+GE_6*v?Xau~4dv>G$U4fuXdS z*U(O!8%v=@E$U_Qp>!J5LRWHo6iTg0In+f)7fZ9TBkV+P?^5nYf(q}66-vLk7P{_n zW2tx}vzxrrSX$1zq5JZNfu|DP!A;b1EL_L#C~kK`ojZnURUSaBi^tcsKua~7p^lzk zt6fe5aO&;>4rsWOba^_M2jY??KXv`UNZ1B)-hjgcfce{6lX@a=0Jc_Flb*;k(AeD7 zi>(hW0U=?-`yB=n1Mc*yoZf@<0QZo z=y~Kkmwb^t;6iY*o&-t=`&rI_Ww}K($UF07j*6I@eIM9_~`pr48BD={#t}WJ+bdY6s-mRW{hdl**<+53d zh2^lVU@iCIT`L1S3oYdErn`a7h10hK_|5*ZET`sk*kZVcF7et$b{VSE8%sqtnuVX_ zXF23G!1a8~bQ2+Akr~IqN~*gLOge<`ITKhU-eD%GWoOY~EHf5c^=9RF&qA zL_qjmJHfQp0&x%#ZN>e^Ks3a)mg@3wQ70>y&;? zi`|{M>QGc+cw0x~#c0*om909X)gi!QosMdfB3%~iM>f;jV$5?CCinkIxY-OwuG)<+?gWL>{ zgQ`GmWrqt5MODQ&ZRAeF&pLO0q*{X*5 zNEL_Y&Ce76V4#+31Ocd=I8xEUfdVM;OLL0BuN60yh&LgoCIkAcE6rK1eIQa?L?G^&=TX^i*EYx zUp9h1R3I7YGLfjqYlwF9&}-snQ_~p}={Qjq-@Q*!VDCizI7s^P=gIa70*0)f;E@~@ zJPu$se3OZy`W=MUBKth#qm8+7S-MD83TRSQnN{RAoJ-V4tc_*=2?FHgg4pP*) zI1;Tk^71Avzd+2&ns~FXB6vMSt{4Z^9ipc_#IKFa%*+kmj<@r#9R4`)c`9or? zkWlEQNP66uc~y_1z>y3wmiq1D#i$&)Y$5~mqR`Rvhq0N@SAhZ|!!tl|_VJv_`4B>r z{N_?T773(DJT@0y_92{Rua8@fNF=Bx`;C)gMndbxE}6y0IRw~^c``8}1iozCu-OKZ zMUM2^lcX3regYjgrfFu!X}1G?_au3TdaMSv@5S7waSl5;+4~nnX7)*5R?Q|d zxld-dygy%Hes>x-Y9}zo<9Cq=l>9KulLxUo8G2x%k5pWdxt<>vz)8vv(>)iJ0EUqm zAL4SUU_0>WV`(GIVz0KaSM zPwy@RjlF+_p^IG!sD$pZz@eB`g!!=n z!=V4Evne)g;GsF&YUHr{JD}Ir6raVTAH*Q@;E+7@k8omH_0S0YCI(;E+gyb96ii(R zqx)!QF<9&?yC2$LkRnxOR5_N}oa9g-!>c$}1e59kE}~BppAeaheMe z$LuXlLo1@2i1~|~Gc+zjA`wX?%sR9=Vm}^UNr#R|XaICO>(yzWgj^xkY56>QE!}8N z*ky4;W2PI;<5a(7h`)Rkb{u0wQBG?xAAM(-#bxma@2eP8TucJnVz=7&|S;kdtWj(zRviPlnWh z{WrBOJKfACsN+@}!qfW?Yq^q57cL*@AAi}S=qbNT# zHYTAMyo8F47{Pg*m1_#0E`wR#)>eLg=zr>fXAHnO~E74GraJxKl7 zud01k=)ValVwd?k+Z9H~fU%bN<=b9`wfTNLG`(V^1#B9!>Q{jvYzir8(Fu zwl6I#sMJq}W~bmwve@8$nn5%>1;Q~sO=$+8(}Cx)87pp5n^;j}>sB1b-bX1mk;Qpv ztLA50LF?L>?h#JM<6;FM2 zyUMQ~Ygn~rA881qpK&vTI_{TOVoS8U*^CYkZxPiPJoZ^mY^tJ|KD28lw6m4B4~I+^ zs0!-Kb&SLe(ba_AHiaw73N9<}lZtp>9!;?wxpzN3;=aRKDrd08F}#&KkT3FY&QJ65Hv-s;3JD8(DO`t)}gMBISp z9%3eJhT@&pLWI@H;UJu8jL16f8*gox7{Q@A`ZdMS`{*1GP)*7AJE9yw?-W;M>`b2s z7F8ZDcCyDA05|{h41CQEOXydq`J6x*?inbAwoFpPtS)amn#+f9z& zRa_9_{K4HIR{5A07)but+~4^Hq@w-eGG;FZuUD#PHBPnzwYte2@|YbN00nfPX2`O@ zVpt%)+jOmL4NOK!ekl;LJA*)3&)SD95ef&;X+`prYyxly*WpTXo#YftnZ33nCbK5N z(Y384*Ghhw9AsST)D@CzD4<3=b>;d_GR~~kW!pn{EFpPEpcI^w&okMFLX0$$_paKx z!O2PkwTXzSM09s8$?ZkRNKO{Em2X;OncPmC%jGBI3HVnBE1Anzh7{%Kwo81PC!;#q zS;o~IGO#eWwaIOZ8QV!eK+yM?;hngP%&z8;Cx#1or8eK`W|hIHcsHh}CroQ~{e*Nj zZm;H$;~%r%h*dAADv8;0RNoZuwGfl*CLd|2wlOB-A+L6ry_5Ho_eFxrgk1k5d%th? za5aE#yd(S5`zC=%z+r|$*CzYs0f<7}KG)Yx1?2S-2Wz%zjrdKr>)>j+RNZffpa`6OS9&o37l022 ziHk5h2j~E~ML6E^{je`z>*cQ9@ zxjNtzz@gjft#L3c5Q7D2i5>C+u?0qIqZc4D7#$ctAsP;(2G0W%C>+Is=0Fax$9y7r zILUjch&upp-)4XeT zJk|zM;rTh7qALKe@O&R$DRXdIf}(ft4R&B%k|(wG3@|Xr&F&?E=MHQPa)4?b47X8f zeBPp&^g^*gUeLfuV7`rd(>QZpFO(dnZ=plc^be|zka-In1(-TuK0a^OPawhr3gmp+ zr5pDEBBUHnuE2;JbO?Dz;f~tbY>*~cr{v%;ojKb}vu0N>XB zsI+#f3tV2kT3{6;aCoyKLWrN*1;~Nrm(f494k-9B7fndSQyPKCQI{rw_$j4$Jbo%K zAkLQ;)r3k7mJ?a*cD*V)3QuHnf?ky%{8=2}8fRCO@U2WK<5_^hZ)=C3w%e&!dC7Nu z3w3<2)_|uRW_@$vD^K|hpSK9qe|A^f?6srfpIw|&$hTnYqJJL6Jdk7it77#O1yOCb z&s95miijXD!$ZeYb42Ylln#6zB})8RXSog)O-q@pFv<&{sC%;^UU;<&rno}vToUKN zDX^k4TNl4`D9EBbCFk5f1zc1b-cJQ$yAX^U#mt1)x9!3)jx(k!^VFZwEZFW>mEx&a z(^@F{h@rlX^150coO(EpgS*669~yr2?4a6EpSRX#UJYcto==OXYB8L$Kt5jKBzzuK zg#0M|R(3X29r6vQok8{Us8Zz4nq9G1sA|L;rh3U=2vv~ONV`_!mtAF9n5(lu_*IpO zabPvo*5g!h;(1tEsb?2`^6}zLgF}rdr(?@*sMK_qltPZJ#ZgWLDu)?f4R;DwIf}WM zDylmLu7w0A)0=mkf>_8cyX$#5j%i;c z3%mRm!*;cjoxc2nT+{hfAns3N&G*ngb^{x@;H>}Rq7;4HXH)lsX>(rq0Yqjhp z?x$p(n-cwFUnTDRU2_1$vT#b`DaXy@tAw75C%X$8O7SW0!`I-h+~+h~R-7LS{WZ0wD|KWhhb$1TK)H#!oBZ5W#3YS$L*SBAYj6 zE#tWwkEF79`F%TW`k||New4$KL)$ghd45=RAWt)^yF*~-c`lN}=EGfEonA1o|2&Q0 zCK1vm7e8d69HKZ4!G8jC5jSV*z8wzJ5jQ8IUiGrrj7gehmJJCEOB~;< zPWd;36W7A1PVIacpD6DFH6MN`jsj?e#G6ivPva`;ML$K|_p0+J&{fgk-=3Tgv{!t- zmTzdXxcU2{BRsTP9H)C-cc9_oK{LFUGCd<1RZq*LKvec86 zD+mP6JXkGE77^qjd|n5x)OHA>*AZ72arA84N`>ba|MZF#WWx_#HTOv?iv9z=wHDQ- zkS5S!KhOC?x6OSx@8)#go3@+so_&!Vnr}`sbtfr5wBVeleYhuyIHkE1Z|$%-$F<9o zE~^7axg2hlEe1;SZF64C=p3dvWltbd=Y})CM=yH_*_Vs8<@3bsxFXl)-#qYJXD`}# zK7M)abD){$`CJ5%46O9e^YgISKaS_XdM}fc#Y!Jo@|Tk`Uab*UwAw`SzuEbzg}W-q1?zx>yqg0CdD^7G$5 z&HnoDpXfm@&me|1bTvOTlbIPEbYj;Mgn_y#94wvzuX93kTn(g zvj-iFTkr&A`Ws;k*C4AaPJ}6gVyTHRIAEP|-Rh^)!A0Xv)#)K4w3<1!i#fG`r$nMC z3quiblep_cQ!S1WAn1T<4Ba0@xcWsDyKwUX+|JIzV!??}_yP>7F2N$49{l-5pwR%n zzjdqL9I3xhmN&{DsywKGvb;ecQPnUm6bzV;0@|ASd15cgqbD;QYY|93sHQNnpn*)7 zDnyOt4;M1niW_3F1kfX0E>$e8K%TX0Cb1AB6S2_V08Tue6orNw50El~2J!QRbpk)0 z9WokVogi?%Rf`;9ogm5dh7z$d1$?YsK&M#8l3BGuD;Pnb8B18{-be8azN%kDK8kIS z1}^%RkK&xn*6~TtpHd$1x;q5?QTc>)i3YT!2SFwjY z3Z2M%uPU=xFNH1;bHOe{eHBicuI}iu9E&h3FZ&N*QY77mc@aW&9xy2#)Jxo%5gl4d z;4W7xqC+bg*~Rn{tJnb8P3Uy;`R$_`ZaqIf57a28V+UM%<3@>=GmG;s&BHXW;RTkV zB(MTxVxfqDnxTXca$8dQ^8|?Ee!4lu=c7cC{Xg$FKD4s^glp{-Kq6CVCiMP1QKK;I zHo5za8m;8DSZL2sjaj*O#v3(S8MMn^ji^zKV@u!`I`p7MA-BV=zEPui*>(TcBVb>?uYaNuS4KvpjTtt~xz^J>|u%41#9(>ieVE~_E z7~I~xON&{?RzzVNL8g@*$C69EZkhOk?AX45JVjFZ%5EzH@)YRHG!-+(vTMw}I{rVF zX(Kj6uS!8K5AqapME*jg9^@%doHm1Nm4`3nDV1<#FNQzJQ-7)JRh3RKC}>MRzkSrU zo40TQo&H9ivNuTal@pMsEUxU1k3GOsuc6f227oF4u~_7zVGh6)sEnEFrUY0((n>m~ zTkz_`EKr&Eb);mVCxEX5*FS%r_)-MAc5Ld42YjhLkJ3QFQ4hRyRgwyJdf=saycK`^ zpi6mSa5-2ypiA*M(wuK}DQ2(l5ul|Q1O*=gg>Gmm72rLlBeWE6G`&j$ZO2fC%ImmBFCXPDCyZU~JIIm-4{LfqL;;ef+@Tagmcll@F2g<04y8S(GB1 zI^-gMh13wKMwlyeR)I)OaBgdzxf z(6)FLe|Py}dAUeXrH>WKVlHwjNz0L3=0d|Ix37_mhUgn9GjiRCc%r_*tE6ZEP*%?e zik-xwUkx9bdM-d2)OhZ}?1K&Fn>G>wfy3ADG9JW17aRzIS|5Z(plB!x?;iw5iBE5UqjviNO9vsuXyl0>R0HS4!L=VkL|` zRCvBO$D9V@!`y=^)XlXE?4e(nl7!C(cwD=_U&soN6IQ zdP>6mWxpSEmJGR+xP8!HGE44Eg^?~ZlWs*zEz)ado=bHhROg{p8dwa%cm`Haj4z6y z2MK6qukL$6OE+mK1KKssKr*UAK+)MnQqn>yBZ1B$i794wixc8OddkK`a-1I|sjO4& zFUaY0j)#J57YQ3Wb=;R|(2v7P_giGfethZm;x(2t`fW4e>G zo*%k$Oupu;FZrT3Z)|+%zq-lLS!Q0RLtqbgIz~Y~;i6z)T3D#Y^cW&kd~`@)$*S(`c=)eHytdwhYY#4`%7qrzr{^|Tc?pO39@m|oS#Tkv9&7O5ZhTS;@;I3BcFca6Sain^8liX4ccp%VtWld zZ$9UE0a4YW`qoW!Y~KMnnga=NdfI&ef7aACGeI3PXn<2m1g5nd8|GAoMiQTXJb2rD zseyOw-vfD1S6*#^R==Of7#!LIQJi%#`RFFp*k#BOp{M)MqPf-2o^D0hS%+qQUIIM9pbrrInn)?-ohlberl{$&N45dgVgFhpyy8~Dr||7 z6iUU$Re(&Q(o*A`MpupHe%|#gG{yoN!Je24`+1#S2(^oYDfZn0^0MA;tWTFNHWRQF z#a|6gy?|-x!yCwjCScB%uTf4fF+v@@2}tZo7U|Su4>MfBp__%CKRwUDk6yd7ma#`# z6OEnUbR&3cql8Xzn3-)KLCZrYI=t?< zs)IjIh5iV=Q@O&M>V0CbRRl?Qa#&^P&Dt0>I3_Ig za%JC|=>VtD`xTkxTZL}1RV-sLFHi}cWg!Ln{0TkGACA zZ%UZZ(B1rEw;acchVJPX`?z>F^wWg>QhyO4QA5vm)(k5wc=UL`cml~<#Gdf39Dc0W zTmGUI8B0FS!A&Jg9(vbbv|bMX4886z+}x_z3eeJP?$?4%R?F!PEoE0PdqMx%jUuHy z4f%WlM#>&zyGx%?ts8Z!c6rHRp$A>61l|}j3>#glcA|bQ8qlR& zYq)_BoO7c{`MkLodR$2%pADPt<n5NL28!Rfh!zTk+^fmqhi~54~^Xh;?`FOeA z7dhz9rDB03QQLl0iDtPZy*!{zK5pvE)8(VA-L}_Lz-)3h7b-tL4-6*PCHlmUKO%Q* zW(JMrSNoBF{-nEh7_{1)i>yYG(ihaX|FL;o z_EI>YK7UOZX|k8&zy8vtUw-kc&!7D#p#46-`YVDlDhX*js@&i>Yph@W<(Gf=7r*}X z|M&a9`1Sw({I9?G`@j9|Z~x-+fB%>N^6x*t`n%76{MDCa<6ky@=J*)iBwxr|VqUBr zuAg>Z4XeUu+m0TBG%-!1E3Q4j5t6O+Tkg@%pUOQ7u-p0(V0?3eKlD51xxbZDt^Vr| z?fxOnUeGL3r5sBzUqI@7JgD}c{^76w=jS)S|NTGw{`1>^_@{sREVcU2Jix!7e*yUS z%O8Bv!4lioTQ1?_70>JaxBc@!_BDZmUCZa!zsH;X=I{UK@BiT+|M&AX|G?^LfI-SJ z3>yQStbU0cc2SVV9T0|y;>~w^{yQf8V^P^DuDm4H+ixt!_hH&pKIh_eE&C}Qz1ZO|AD=?{&{^}I~eWjnr{G{_$9S`3U1{1ZLjqu|Fv}rbk8?d zI7okjPJd|VmrlR;o6o8IIGr~2V%b{RIf5tqx#l)+o&F55poK^=Q*6^}2+g2W} zmY+?l^Qw!5KD>I6{^?r%!J(g8{qAo*r}87UI>3BZ67GIR4qCl`KCR-WUy)OM^&|ZW zTK%D+Ut0a%Z$78;CKBw~I zw2H!J;G2Rz+tKHGbZ}XtSf%%6EYh|9z;FKXAAbEeKbOPsFK{9MPxxRJrA064A9txL zvI^@ZKSH7HxB&6~&#x&IoN9^))u0u`>C$_Z=fz@<-Vh?E&eI$ z3S&og#j$_9x(G0i>bn08Ru{p$->U0~e}cN=*g;*7v46C>vMza|y8aDT7qEHdJL=lv zpQ5fXc2rj!`^T#b6&w$B)qjK4g+KnilXi=Lg1X|^L0ylrf3&&)MS7b0`hQ?`75nKQ z+k@x#F(vp1{=}De=Ilq0{Yc+nCpBO^o@ocb;4jf;HBiJmVN3&pa<~}aXGVSiq%5`@ zh^HVr1Jrn+WTu!6ve>@|4RTU0ykKbPfTtTkRcqciFU1-t&3Ofg0>eJDT5B~sRxVuu zqKfW9jZ}4c*A*bj&Ft5NhqYHmtrJV)f!3Or zl-DI6dE4C4Z_yjI4CtdbPf^nrHD)t~m(?tWtmil3iw#A*t69us*AOk(4D5inkAVN} z+=dOdC+{vG>F(;K)Cz8NsRTAwE0bu%R&cqu+ecjM-URZwi0-}B0*5cSgxbvqN-e4v zw;uru+9GY|#gKm1<}f$qJgQ-M8Qj!^ORV9YJlgtJsN!{!9h90^huk)^9QPvG0gZxf zdHpVsr<*L6bj2>7ff#q%VpDrLAWV2_M25#!*a&uW>rUggu#T}K=AKTW*$kY z`+PP8ZEtKn_13LYX*fD32hgFqeiWElb-_d343)`C8ly{kJV2225JN$83q2m%2u3l# zBz!e>0Wc(wgq#Z~#UaP@N(h@p!~*$;km-9_J(oT@+IxuTLa+b6#mp;tY!o5i15-oz zj!5YP3cTuq7u)rCe3=Qt>QY^R--WPgiS{0;nHQT-k0mM-&COnTsU@B-Jx_+f8pDT& zB^P1^3Yq5W1@POkRp@5{pH?rtBteT@iS`=8K45;0Ctz8+WNMtuZWyCl5Q_p1atQv6 zkv<+?;Kf2GUvTQz4Txx&by<=^~DundQju!BFykMHMVy*n|)e>htPw~C zOmqXl&ex@BTd1qWZeZbE@Sg(AddjXJ{DIryWy$gXLLTOr$cCe4t3yDfv@wEutn96 z8{k0qgr-`l2u0KlVBS4F22~wjBJ_mdRRxYrjrLh+AOfk!$E{o_H5f>Nd-V|!(}$iQ zmcu7tN~IzgiNOH1gCKmOy@j42%__zY#BOdB&xye>mOah5hEOEN0tkF>?B)%jNDKz9 zrBXyddkZ2f2yi06 zDHg#7AC>5Z4h)BUw@X7X5`zK2n$Q_6;8BM-FnWJHrFN8tXheen0xDshP>{(Dxk9Qn zJXvGBBN&OnKyhF}xW@h9&5F(B?G5(Ma?HL^6ylt7;&}oRkLDK2idbh`5OFKTV51u-1*jAB=t)EhbAilb1?ajxLXzl) z!s}Bsw}>4_bDz}lv3dedKYIb&O*pG^+N&4xUlCu(_6Oj^=!H!4Os-&P@9!E6IG^dG zKZr^8V5qMIPV0l1M7;on<11cm1vC9#z3@C?n1}Wr!DB*<@d{KvA}cs)s26ak$hGKa z5t2kN(4JA!WUy5&Yew84jBzZC1H<*K8Ii&BE74xt+AQ%nj~)}`gy;p`{?>gElC1S{ zeDO%P)C(kK3%Ea)F+^$V1%QgP;Mx^YU<8ox zOopXJjrLa7W_iIZQuhIkFS_C47-Z}*zUv6@W1DCU@Uq&WVYD~P`;OZe8E(G3e5@Za zQ?SL%__0ISPRyN(d(QX~QUEFJdU4N)9~<||o};={26=zYAJiChh$7r<0}B^WsdI`F{i z1`2+>(T*G14zL8!;+_>W-nXA4fZ0OOKCCUBr(FsP3_AwP^2(A737w6x3HFk|KV@dGsxE-m1_@ z$}5acw1Z|lB9iEZ<9b9SD{?|Fy!zP=A)pyKAsp8(0Y?9|ro>n@rBhuYeNuKejBi+F z4-HX~=mwDPZpDviuWfb1h?TS~LjoeLUKn?jyhA0eeTI*S*L5}Gkrh5Zxl6XWk{}zM zfF1gl4r?VfbPWY;P1?C3@|f08fI>jLEbQ4=vi60oPKx$6!^cc*8M#{*dX%XX3b6j7 ziB%%)*NF-nv^t+4>UE+TXL@1x(cU9`#Ptx(=lx;iU1wezVM3j1;T3;Hr_vnR} z!GknADT=z5$E$_N0@_=Ik4$Whf2#W#LUJdb%fMo3v`MzSWfo^7-GlD{=9BI(aOlw9U z0MHf(&#Y^oEAb5}NO~b2iB5osUU<%;y+!b-*g>lrF$#TGalqH3W-0_V^O_MjhjJll z5JI?jC){JNY0=&ydPFCWxZ~FK)D@UBV#H+(FdBq5`x**k6Yrt-ig;uWh1|o13C;ap zL!n>6ifho{tZOKwe3w_ZM?A8I0tzo(*CQTTGa^*7(AvwM4}FAdQkjKt*d7RRHAFev z>H+9oEN(Z0 zf(CKVv=@bZ$I~DbS!=>L@pY~^4ceX&I6io7AOzVCGv?@n3zA@xJ7_mG0M!RKByh!R zKzo~kBekn8?uHGb3HKTYn9Q7n4Wgejas=G^R#L1z7!=V9ILST|i9mbnYfb23$2azL zQZd*IFSs!}B90XvV^O`pOQaFnpdC6R#}|YVh39DR@0tz;ka0aGU+l_3e)Ki7b4nY9v*#2Kmsmx?yZ-%nLNAFI;PX!0Zg=V#FdVaC{?P zZTLUWS`@}U{Yn-YkJeT%^l@-6x;$tz?+(!c8dh(@9ppd$Q=cZBvIwD)@r26U%-KT*(W4hF>A+~pfmC}|A_463U8 zuBnv}jI15vLC%;{0_qOe?1h}7 z#){@zRxdy$NzDjFR^-?rP0X=_^w^FZp@qm@tU=9mM~+a>()t1|h#fhW7G&@SHPgC+ z1(HW4pN%(Mx%e@!H1IPjE~^jHToxd5ns>mIiWsy_Lc()##2F%<5~0YP5c$p$rf3j3 zeb?eR_F9QUqP_LCKVX|-IF4k=jh^&Edk5j3pA%rN~8VIQF^l0vBbpgr< zx7x7*u5o~YOTU5!CB3raCCqqsC6u(DwL^@(F==gtLRDL9V}p0Mu21BP<`owu{VcOQ zb8Q?;rf7Q&5*}r(3S;?Ey{$pM=2@M9v&EC5y|&d0sl31e^fVsX7{dD0jn4Fb{YwzYgHJJCNf)tU}|28cyN1|+G&*~{75d~ zu&tN?D4e>^ljC-BkZ#aXeb;%ifn=-4K`64$lU$_qI0!{na$(GVi6f!CKP$O#Lv>pB zAF)VV$7+O=YHlRuMlT>!qlfSEb=9GItcEH;qrI1Xs2-OvO3`z;r^xT>0L4p)o@@Jv;`mSCmS4fCy|^nT4^Z zD*HdqKGX9-*|RL&o3V_KWn?AWkV8x*+I!kHnWxKVqCs!tT9v8#UaI;wsKb^uA+X7_ zQa0x7SV!hq7~4pE+uo*o1TO~)N3VrgWc9)b1w|t6knOluolcDcWmY z+2^sVUh$ZH8gsB0Mi0sp0%Ev*^};ybFevB{!_6!EjI(fW(cbPg7SNRpOFPgXb&Z9w zok)4QKL|zC3sBpTYXzYnYa{^4Ba@3KO)C$UpS4qUD|9E`A8$EyzA z++D2Z_^8p|XR-R`9+~wtZJK;=I*euR(tY}L`QVZ;f;Z;tI?i%!?~y?1v}o^XEsWz5 zt{|O9@wp-pI>GOX^JZD+2Vkoh_jew7cH((NG&~5Sy|(yk#*qycN#7WZC-lqu& zYdUZkl-bD@CLkP6^^vwWn%ldo5H+%0JyEw}6(M>E!;VFHdV>fB0(KqS-{}p)IHBu= z*;(paXQ**<&|#pXD3(^VgcGSQ&(ksFl|!J=4;|&>vUW(Qgj}<|KPyf^22vI-s7|+4 zuYV?_t3xF?3e`7yNnnYN;`g;?Lm6L$8#CH_S+fCq1NZliBKj;;KdiXut>{p*s&Wrb z7@Q~cdRZ8j4s$BrAEGF`P>t|MQ#`-Zl7uVBINry7(zGOD#b~T1Jn?q=nXDxNg>da* zxlF4Pwxcq9M|->Hl7Q*M9koL|xUPi}>2%E>hzIYO5gE~V9K<1OLX0`9;|$tcUK1j8 zb~+{5SFnUEwS0fdJq=IRs?JV;4su$ZfZC)M1?myUd_WGg3(VM|pj%dLGF@F+>Jdjy z#}i^VAkfTCfabueQ)5WAXzja9J+^?0k!L5XdSvNvrbJ75XlgAz);`S3pvc4 z(OmoLgaU61K0XwP^X!Ct-BL>Fm1ke|!p*Hy8##oD>k1S`R4#o?w6}L{5AYFE00Cj* zz6!J$A(}uCCf;>wRHO7wDgb2B3tSF5YYi(Mv zaEBOSi`Mqmrv;0!54Y^5Iuw!ngtkFEh)L8ALF5@V5|kl1U9`6uH5M-OVP^GAYZksP zB;(mVkVKwQVh91)Zfh(6^%Ly~ zMiz1d-(1^2v}&%kPvUDSNbW7HTsSmK77V6CmgHHOt}zR;tTe9cnjS9#7Iq2t@(*G1 z!tTF{G1^A^@`*aV3{PK(;Wn34gWo=r% z%x6ln54-yGe8Dq8bUfYy3e0tN$T(NtGIzlrT3Ry%jwmu68oTDSgJBmwNLc9)EK#h{ z0Z*Lx7w%Z}1P{6vKZpmM%HYTu@?83+?s*bP~UTC}l1eIBc}|i84K8xL!PA zHO)VSi46YGfwNbiL!>!EN(iuxbt}iM+O(0;$9R-!AAji6M+Sd@@tZ7H@P|IbO6bqs zQc{D5)pVG_j{~O_j|&aw8CasehH|z3fN&*xq_Ib$bDwv*&+t~`Kovg@8Rt5oZ{wgJ z9%mP1oZq!{R5-`z!$QZouO*ZVaXeI+&NLk9)4=X2)0l>R4mI2O1w`Cy%GBJ#vg;aW ziZ`w0BSR20Zq=um4Sr!Pko~Fi53Q{J80$j~m%MAb+_1gCn^1qar_Bwze1yi5gdcxE z=)&%R-C!9@*)!Y2|7QFQa(gM>0*UnqG=WPQ(=9p>2at#~GyJxbpzXj?P7fUXivsQA zI{(lk)})>1RpRv!e@C#1taX2ArJB$cNiA(c&Hv>U@X}&(#W5>dIX|*vXi

_m@1pSg#B9sUqLJorPUMYI0! zP9q-tAx*7Z7`RL;9=--7spFyY^y0x>!udAe^ABOh!#|83h?$?tbmPGn#~_TkM3`)h zkxp!B{6w2}JRBlpES2?#*5;y`dl9$^N$ly~Vz){qfJ z^w>0Lbs2M}@ei?v$n0^#hsQ3gvIiQ>t}%+EjmK<(n5W83)if7ri)?E47e<1^V)jX$K(Z}rD} zAP^rL)0My9973*R6OWb6`U<+Z_#*5$IUl4y7@wFTr{hLEk zd>oo%p6x+Gfpdk8$DpE+c?wrKABBZrIt;WR9Yd?v7hKit7GN8xCL?!(<&4=1s84kK*!K?50-bc~- zX9Wp+w}iUr8=}9*{#wWd5RLTMk*V(9<{n^sIJuPp`#<)4PNlWaSd>thSxfQ#EUutr zKd1{|fe3o4);W_ba*3(bzC#^|uqLFYzk?&*DG7vogi~}S3PsE#00Ukzx3d2*LpC~h zRKXpNAP-f`@w79R+hHO78hY6Fc_4`i{? zFs+SREM68qL;4@7)$|>3Bhv!%+WQ@%3)h)r5w@V7IhgwXI0eue=Mod^I5$8+x4dt3 zpq(^en=zu%I5*hQ1V1q*Kx}0DEK@k4!!^_oKUjj1505+T;}S+%q{NQ%6;{;LVhOeb z8P$7pjcvh>a5S-bMO-)zeK46SufUch)@;B4(iOo^-{hM_Ou15(&zR( z07iWZmlDq#(5PvqVJy!;f2b^XKF>?=cavgD&tsI3@%$WF4|-kP60G+m3Es9{ik>{F z0wlwog)R0Z46HN9dnku&NgEI`$HOS=VM!h!C7#$HJShY(!Yj+b(UVB{-SJD$=gc`3 zBG+f8Yv-uww-3|D*zA`f*8#y7%Z)QsM3$tSB zP+UINtoofjrEzYHijXB+X(S9d{O3&0j&@*jRG+eBF5F*6(4rY($zKYbSIu-!7DM2C z#6ItLav1{WW66jl^-e~^Ectl^^7rI5o(C)pUB8pvnH3Y^+buN?1QK#x%3beFI@k@E zll)qidCw#&tNvw)de{|?fu#9tiG8peE;t5!&O!jL@2W9c*#HNDa*0;&MFtSAQ(!N= zC;>dwm=F3@D`Mm-ILGI#d4M`GPB8teL;~NP@+t=PiVB$)0dDgOOlAn$q73crj|i4t zw$6;)HRR*OsnbR_5cA0 zzOXR>`DNm^3z4uf0}yr@ul@}&$bj1w@jV@qfNzMkk&kHr27JW&q&9&N6Yzjee#79- z0TP**^Vn}Unu1e1r{^1dK|)v-c-FxhnOK5HAIrcU_*f7^Vka9GBokk&1G!^IGQpHG zj&iI?CaO^cPRFL8*T&Wq5Soo;p-j$%2ZOpVn@^=!ihAu$8y(i`m)N5tG_i#6YHM;L2k4DvPxQ^Jty z;f3w6Cfxp=bu@!P;c*bJ3huOFQ+Ta$wW6Ahvcm0im~A;I3r{(AclC~exbU;r=vdum zgT68msG?XnNDOYmBb;mBpt4K{)_B{ELCZ9pF7cEbv&KxS&Z~}ZLlSUIXkm*D4~KN( zSZ@U!HT)blmn&;x8Qd;Y8A$`j(RsK%LI}a|HkuDlGY(@y{~G!aF9pl%i3*%(LCCy7 z4@W4%jV?r{`3+}rMAqpuOx2!OhQ zsmLPZgdjxe2C`;4si+>~z*i#Rs{%&{%FddgaJU;-%lm{jlHqWfyiS@C4%;OlKfF#I z=F843Z-9$8EEoYxz9wdRqlgosZ@mjHyg|pK9j_(Yj)9b!W4)hewogzqQmhb{5XO3g zps87uRKR!8Gy|x52TXZ`tkI5&QT`m5Yz~I2i7{aiZhXX=b-ZxMHy$%gM;#%KyN@U< zy`K|Nj-gqy;s{5eu>-)3u?UwZhr&r z5f-ApsQWK`KBB@Vh^V9aQI{SQTBuz^|KnF7Kcee5TYyE3OGhbZ7oZeb@1Q^#8zB)2 zRo~e@$qOjr;c-N<*klK)b3FGYg2?7ZWcr@z{Onu`eyel`vtx5FaD6R-?cP)kjM#C? z6EfYH9eDg##abtV(9r&tpp5fI@Ra!qKBLi0DERWWV0>&^$}vBU#)6?UdU?@XChdh2 zF88202tnc$ zA`FHSy>TeF3RJgv2FSsu7@X^uHSS!!h@dRY8X9_=%yB9ZL|4UeTt;Flm8Mq z_4Y+6cfR96JPNW(Rg=unRvu#L7*{Hd) zVwSjtar3cmk0?kY9LD8`UKR4~)O*;}e+ui>H}ns-QUE7UVJzAgq&|D3uG ziM44h*Cqpj3Dlyz=&BK@@{hixFoKCpAYg#R%lkP+DX{mB-jpnriCAzii^$qVFDT&_ zuoD-_z#cbF+0q;`QH?}3969v42nVN73z;kv?U-X+&$C57xL3Y{F`Fa^<$=bB*6p`~ z2tg1dB9Q{hRvZBe3{IK6jVY9%8(=&*+oz%l5xnCVD&>-`fHHeoN-A41B@r<%%&9A^ zU{4=!uG?=xmP8(uDq=3+g0~&p`?uZ;0+kUQN>XFX!ys;-Ks8sBnFsxE^%+D>{S}bj z)oL<@Q3SqnbsGe6y%bGEQ^UcLcmxdnTRmr75BR2p>`ZNk8G|<@jZB>fzuU?Z`I%xq zL|sMLatEephK(qbIL&R1g+GOiAFhQ*EOaH zG+Y`}TayY&lc;I9gcT16Rh(d#yh8e{1Pj0=ve=G5>~kt=A@K#Qh@NsQaAk^#xA$AI z3kfdhLwqZIWtPojnwTP3Rys#QVM{*@pe(?2C3Cjr#xm`}uh0qG@?@E{%Ov41lQSc# zQF$y^Kf}X>T(XO$@!6ZAUKdwmBK1*$#l_f=*oCXB-gS$&Aq5KBD?gQqy+M8$nwpZZ z+v0FMD;7yNZ7I3TJ$nl0ZRI(D;zoZ+Aj_2MP&{i>715OKP@+IK`Hl7|golw>Ktf~t z7S6+g_DVXCxzHZ{2(ZzyeGBtt1~;K`WI}$KMD3#9G2uV7Bf{3}ZlOR-fnHUMFkQh+ zlDVp6E<-rlk(SnCVX}ppJrYutCUeM%`UuhBvWRFOvtJX%WE4?OOjB>rWEV4cNl~C( zrIA&>e8>H_s$)UIU%3JofrQ5M=#bSuMI*5+jeVnkX-pQvI0avINy>suZK%Dwge8iq zRTx!QyhKgC$1Y<6nOGyQ6c1y9ngxm4TM1bg;6#BJQcNw{r(S2l2GwH`F?~;z{>Kib zMa1+#M|%QP>03V(Z#z0CbV8ThC{jZAB_x=ulj3p42-Mq}nklg@_mmag>Zia}79wli^9;<=hilrAO< z>$i?F9<#jnx9oCB#D>Q0w@fo`Q$sYyWu4JG zZ?Jh>1{!d-v73hs^p=eVNO2s(;P1^5qDn#^uAfsc9n0Vo^&Zz($ErC- z>@#)Rrye^NSrqU-r+hn5U{^4JT<#sK-39-F&nXX&)edrLx_-;aV>KO1(DN-nk1b-v zy>gA%YV~N&sq5;kZO?~nlHhPHeC$hO0?FpYwDYl}KvrzFPpy5J54=IPa&3P8?4u3K zwfupq8OMNUdIC)C|IE~=B>2rLfZOn`?b)pb#&$kFPt`~;CjzujP^K9d@bXBWyUzi# z_hT^1kHLHqfGldaa%%3QfFR|1V_=%^0-y!ARLI??0SJX8l#{zU0DJ=VV7W$Y7YMW? z{*+0^c8#FJcO!=f$pw3h=0Ltl5Ng**+KjZ61Up7D-Ysa#A(yrXS(Fm^g0GG(sC-iZss5(5X}3;?*`_22jW^j(=H7 zv`@n*;E_`n*24{^kmKv_Ox}?A9_MdGux1Je2uh3kl6%NCAg)6l%RT4dEr*a%_t_qG zh$W%USfYJ;+7XG_V|H!}JS8eaCZ-KUmAv zmLvY&!Pt;ZafYd*Yy^F1k6(mj916OK{RRb8_AhSk0!f^Fyg#O^SH zGjWJ)K4UjwnA6YM|I+`pR*l)USZGt~N@d#GLU*?MsD5f|5jHoJK-U@-YZqMGAn+V( z)LQG%K7usK$=KS6&2xOj9xjY)DaB?xPGS<1vXxhxFk_Tx4daL`7s zN<+;9l$X(D4MV{l&_JGb%wqL|1wa(oy`}--4wxw0I%Z<|3b3Ya!21=Dg~G0)TMOV` zot)BFy!SFYk>1%p<3o2V@NhCQ$kfR9;FGYrm_Qz^k~&al$h$&Y9HN3*{~ZdC19E%5 zLuY8@+%v$pP`l6}?1xPvuFp9lH4Ehdpc(%w9&?BOFWrNcC-jp76vy5-thDyQV!C~N zJ0;S{tj!a|KDHotKfZ`8Hr*<*Q-VuF*{u?(O(8hlVU^gCS5)9-r>>VYl}K#4Q(~hk zZ2vyhfxVDQ3g<&}N`!F99VUD3lt_-X;3)2t*lGW!k78$1L}c*q(OGz(VZpITD&hN) z7tK)Q)ZO;pTnU8%+%WCwfwPd%Ol?K2E|$duC}f1hVe+`M zepm={R5(3L7?_s(+a-};6s(_U-$_V7V{(@Irl%}{Iq3n8_Y@~EBxA|V-zm{Vy1Q`3 zoE@17l-CPnOjeCdvpt~eC0ub74 zpDu~i@6gC}lf+6LFAYIANi>Ydmq{Y%5E=_^k{H*2XWwyuKsZ%X*x7n121RnxlKZI= z@Ke5v0f~abq5>W!iADHHHXj~|h%>ar9v+Ef1cn`|dn8ss9iLg?Xd5rnTM*R`i^R&x zr;6Hck=W>N+Gm00HvA66%+lv9+~E2V{|T4i9*Ja%iVb~uB!;Hf50At~p*Uk%k3>LnOBDUxBQcVkszRDa zVx_d5%yrx&u`*e@%nMo9{qE&x;CjYpq;I~f*GLSHa5an;cd?t~)}~9zNp zzzTg@uhkPCDsL(;?O#md-?M!|0VriW4HykNaEte(c7qyl?x|LHKoc%13kca`NCqGQ zt_iF#;KM~Sr|@+Sl%QCuiggFD0y(b{z@^U@5CcT&JFLVUxDg;M0V@pX!E#O$ z;z;YWy<0h8L@7UTClA4yak=4C==LMwW{0()6qw?pI0%MhxWG?1Xol7I7*YjaNbY(`Zh?!&pyFv`9dJ!^9Xk0h^2>mqp}!0 z08Y^B5)#$nP}JRcCaTKNQx}f0ceF3G)gwx%&|ikm0)sFG;MCDvaB{i=M&jr%@H8*+ z1`f0s!Z{=b*ly^um%Xg#Ji%xqhEO{80Ixk%QI(URVcp;vRAYy8WZVPf-L0L;k#rQg zP+7r|cjT5{5-xJ2UgmcW*G)tA0nmjKjev$52#7&4`a!@j0}hUM(2w<;1~kl66p9(= zz(k@(MXNY~i~)UO^F}>pBAK)kI7l)RpcODi16881fNR)p7|fu$>w3d%CekPK4~%D` zx?XG1zA&K)C*T|~NyCsP5{&{dYnanS&AmLG5En)@!9HEG$OoqNrNTy72`&h%6cYki zWr$fab$dLf0cI6gSjeMnmDjwc4S z9~wB(T(|7Om~qmOakw&uHJ(!_=?!nj(fGYpR|?dj=zLj&s88rR%H~Ay zvwb7oGaZ<WRu zF-18D#YVhi-Y~18=|nyB&N#5BGmY4XZ}LQ<*@=L$%myQG69+M~M!2i7W<-r$qx+5EeE#kxL}Ln#fJdxWCs5O%Da`1MZ{2y!YCq`NU1ML5 zZ*=ZX5gb`^IsIF6C}`)KE}qFc({6Ln%OOk?;uX$DZ^&?@;LIC)y)l^85I44art?t@ z9%IMjZO0lUK?Eby^L0b2&$##aSa*P*52}6#kvUkTM(w9sK*~Xy-%lmNJ<4*L}A10e))qa-R|kQz`+22%czJmq-rc>1kUF;@m@ zY;08vbX1k+q-kKF&!+peOJ<;&Ggfr1Qzo%dxV^}p-V`}Vm8eQVUjI~Lh42h zcDxCw;6CNPLlMwYjTtXYe)M7Z0pHKoY zbs5Zor|1~uYBb#Fn_Qh-y$0-Y zh-H?2;*{#?loJi#KvVYV1UX0hRszC+omP}49K=p&v6h<95ZeX1bX_8R!LfK~F)|$^ z_Wc!VOI!A+P-ZAxOid;UYYU{#^s8G|sSte>v)N>rf=v@ozf_wbRyt-znaxw=iR7MC z!n1LULP4c*E_E&<1=ReQv=Z<#%_-zVZe(abr$!Y~_G9^<{)to4syy63-*2Bpw2$YM z;-pDtm51pL$(5PJ7TVt&x}he?h5L-%U&6Rs!HYHCa>ZkA!LQN&Oc!7m2t)b@NQ(S9 z1;x;vBVv`Hpb3!Sbw{g2=S;5*UuEnraso7cv+wq)hlcJ4R#5lZ`f1oia+EJ!Zw=%p zR4;X(t*^C`Es9HeOP6k@BUMOV1vhpCfk z*MWUAKCavYP3x`@>LSRbYvW<7OEuJ4O-paeA=l5Ty@%f&Usqaprq#z1{v|J|t?Y*a z{uR747Xk#iXKZ63K)8hiS@56UY9=&TsE4RhlM53fw>O8B=@|0zS0G52J;X}^EUky% zGKo~`EulZSRTU8)jE(1->Wuf6^S)v6l0K(uBV~hA3opYZ@`#aejWe1q-hzFi zHVw(i$@$it#LyY@D(UuHqcR>x{(h!u2@X#VUZ_i8q8ECQ99%N9B)wMqoD!SlEHzc2 zU6Qjf4XT5_OL&sA^f}Z%#qm^Xq%fN(4^0?y-E990Tq(SwdE%E(L+EM3cwK(GXl8DjK4Vo2>~hU?-kW4H9?0Zs zhlt@U9P%;ST6^uokn^IYHBmz_PC+lPm zjw0QtQM2#%pMT!&RJn)P@Wps4sf%Ny82RxNlLl0=K-dAY3%+ zI((vy4}IpaAGNfwUh%2k*b8qMZv2f8s>_UY4U~kIJx6)WHr$qfqH~aDvbhnA@Ye23 z8kik5N;%yg+fR*npbL8{Q;sPMYYV$F8aqG++BYhayD&tF>-|kk7zWAdNnQK zq|_p}mg0i1Gyv|;EEn#nG$Y3h7-!i=b=Cd%ec(D>kWY0Or|oamNw-F4C?LNeOhrTK zJ7_B6P)d6b#A;nWjw`Vn=H1xB4m}+|Cg%n$d_8cDNxyOL1fn?~#{R@4%0TIotXn!= z?i5~ewCNH+;$u<$y1^Cy!{dEFX>Cmn#@mP~Zd}^IlIDRd^388?q#*W6%CHHm>9>By zdUk2~jW42?v0J(cdSdhGaZe)+YyI>`lMwS_9AopQ95TFLxm&mJ6OX{U@qmIH-hzgR z?_RGFQAZ9JFDk_Ga3Okb>8UQGD~;9f>2wCBjKR0kue;nz8ZZ#UY_8>${DmLs z%`&|V0*PVsu%UazK+#!W9Df2U#yy5`T%nTLDSzeQ@u0xHo}MbTFn-vJ3wuUezF1%@ zW0VCgZ=5m(4M?d2;SC8J(PeJ2mLwn|ZSS`IFkCfoTy|e2JC`68d_1UOb+cz7zzdP3 zng*e+rv%UIY^~ylo+8Wo%=ewvgnJA@VTl^rQmX(!rG+SkBBO2*`D&5uL0_6VR##9@ z2GyW3yHZ<2D3Eh}Htblq@J-hpX~Joz8L@iI@U)-&(lp|49aS@RklgOm>1DhWFW%03 z4eLb&o_+r4cf=dV;&7n4|5eZ|3a^CE#5OK|CPO92Bs4w|9BP!(USe`Zb@(I97R)R~ zO>i}noc0wtdYNsjyn0%@mPKoClq#E|@*GVCqhNH9De44aSG>JzATtb^i#j)XAwKa3 zXT`uL#iR#S&dS!^U=`IT^r$+NhqAl&poJKp6y$hoAJ3-&tjZw#w8}Rvqho8`1}Fh% z*#`?6h|Tx-GPC6`1hPNuJm1U&bV8!u9=xe*YK!IYat$BAcl=W7+yAba0u1_uuwRcY z0V4VSHSaXGRUpVp4&ocjCbpAVZ4qUr13JS8_59fGG>p$!$9wqhw8I8~^?D0<8=5?J z-%o(p%^)jou--T<9$Y!Y5`Akee`~RQs&Cbg;PAyRUWgBj-Wc#HHvX6T2T}1O_^vzLKj<%q((D&ruegLKaqUp?t-Znvb-sAp_lK435LotkGGP| z^Zt(eR;$|e=babqy1^~S7LnI#ExFUphW9)Ev=cSsTXo_zpC{)rf?{QU! zP_(2jYbUPtT8J(;=%P4cw=!ve-q};Ms~wgqiZmQRBp;yT%y+K*KA?nmm(Q@Co4v;G z8*z}3YTZ6MJO1=ke<;a!SyLXp2B&C)He=V74o3iyf<_jy10(es5B@7d`HZygK_7Vw`S zEAG@^r}!?2HHwz!7(F*a*}n*<>(_W6vo7CL)iL3u@71`}Rew1Sx7m;@bO=W}=Hcty zE~UoRQE8LwI3wNY-S=?A52cD+qo%oVi5p2qP2cSA;A+`^@|G63Z3d3*fxmksj22$x zk^+f(mhBO{Z2_cg6Oj2%aRbv%%NY;Q&;Y`1&-X)2%wd@0*9O(;ah>PQwcGn=lVD!5 zX9P#?PL)Ye!z9d<%a$xiN#AX&Ay4}27#tViY2ibqmIpaOz%zbP=aX87o zY|fINd5+oSzpB!t*^4P>ak29yFSHm zj3f9yD&zY!id*$F1)AH+KtX3q{4L#Gdf7{M7nWvDKK5*ymL_e(%O-F8p0eJ1>u@JP+jGuN<=-YqkvvEFE8qLYZO?3bt`HDrx5~knad=H`@h` zkyNJ&)z-1&5BR=B-?sjU=rwsORPLe05iBKZZs-0A3jE})ndtqy)wHQXyMCO@?IWIc z(u4|p_f~92r+Zw?Z36K%g!q7#O+_+6L}Y19iNWeH%k+@C>xx)5Ii-8XM-0Vyk~e`GQuHAJ+D+x{T8mY1T2$!-L(?_Sz`HPRR?Rps*wbdkB-zbJPEi~ z4X-t5TaNpG6b!MMDqKJQ=`UO z7U{-oJq1vw9)QQZc8w*Bn+~nOJ>77apo_c zE*-~ZFhVjMz97jbnf(! z7uL*a!Wv z&#isR4uJtg{9gI5TMkB6&mCSyF?&z1*aZWZ-9vTysl}K;JU?Be@@|z3Dh(1CrV*F> zxs~VW1La7GrJSL}buEY85#R72=zu2@xddWfE~+Mn+vgAr`o6vWX6=MyCy=BuhyMJ5 zOJg*rJPy5}TxOD={`Dt*LVX?pr;Ih~?`gpfOKQry@o`)w*%ApLI%Hb!2N2S64ll-s6$}LQ+hemO z`SoL&H#1eUP9mTWHQ(=0L?jsnSkRDj64kC6m&vy93dP^I=K5g_1RAh>{i5#3n?Bd0(M;Dv!8?s@Q1F#y*O4{Xi10_iSfgW&&F!u%d z5&46@$?!_lw9ghIz57NxpL9peBJZU~X2t_m9pyp;-PhUS(0keQl1&G5bDiZ7J?l|q zR!z2pgFv6)!eAW26e#H()rD{6AagpL>$jGb^atF3^kPzPu}?Z(Zo#BeZx#KiFQ7LX zk+(QS^qR+H!5J1wr8C<>d20!6-6Fft589|3aP)x3L%J~I?U?tsclQiXZ8#OeNO=we zae0jyoZ`smLZC@yyy2oea%!UB)|d4vf$P^dOBtx zDsMnyS^7RI)fX#SIpUE%5u=NDfy~VyO|&&)z&#M{J-9b)kX4x#*c}tJyx+H;3MXAT z`sG--7%3^ouVnC2q=s#{wsj0=qed!7=ffkT9p2Fn7RIIWL9I{nI>oIQpz1eZK{is6Ib_X_X<^#i<%65W@_!bEq3^<4P70GutF=5S>ZeC4x zd#?kXlTV)LS6t@(CY@G3^s>!C9`~yQe|!lBC}!##xhTv&ADhAzKuTZ#CsN^7u7i|owW8rgc%C?-e;b>m7*(D;j9V3 zz$vYZGuvxt2Ks(SY}`aL*4B#ARt<6vbvGsnLHXfnadq0)Gpg%*X8PGNEeceP;YI#` z--BopA}e;^G7Wh%FtD%SA1xd0E?GSwby%+I8@FyguARl1Y}n&{symqXuSmgxTo}uc zTko_>IMa-Swaco`AF9q}R;mzFsImyq`>arE6t3Itb&0zauuGvYSsas#NKX5_V1c|M z^xz1)MI(;hgP}+H4luv*e>js@;;US61+$FlPPrF={`D!cx}w7;;fgX)g!@rgepU zsZ_%>&#IA;cIs)G-Dyalig&`?GiTG}V_x-uex;g=E*hsKSvP`75_-C_(^YV6oZ5s(9rCC1KOD`u4-5yhqkW zJwig{v~SUv3DsxYo=1DH{^9X#ja#~$Rq3tE>*v@@W)xysz(%@pf275cvL+Kx$dskS z8M~B9UOXOYVvt$5pVSmX_gH0%xUTb@@}{l`j+9(4`V~J9tiI z7!--7q)fqTyUZ@?34PC%AS{|fs4M@TEI)LES5F56(|o`vt%*>1TG=GbRJ42bTCX*S zxg4vseNO`@^S)9M%>0lXRorAa+u#^}DqZ89nrb6(HlgGXM^~kng?Udof90{vamt#b zgvV8Qu<%S)0t+EDKRdqIOi0g>&F}%;tj-3MfWl9Q{+z8Cr9|Qt;V-mm`{=2Tlf|8M_|1&dw&2kVk)3k3&I?Y;zCO8cFHK?$9b9~{7gTc%XF&a2 zf8AWrO4?56K$*+#?=>WyUxO_(p2f1>ZdYmaUSz!N4~NY$USz4VR4M0EW^0u}W{1gT z;F_JWw_~)dD(})v;<)5Gp!n&1;~Hbi_ke#i>~az!eInRXD`6Q0j3)MWVr?oWOO~;Jvjsl zFCb-8c_B>@+!nVSHyEgYh0$jQdiESQnDxwW^qzC$AlX&TV?kg25l=~xpL7isepz3( z$72o@*4FK#nTACwBSHqcH2p)dkqr~GL2yfyD8e-Omw{gnqqckCVNw$K0_5*e+jP^G zAJTiO!tQcQCFcxW--PprI#@V0R`|=k$)B*;N2;%|KfTF0d#ADDn9_|I0z?%Wj8BZd z1A=)DGHlOc)Z)Y99b2D>Wuj%q>$|by8FocYn?b={;D8(U^Jop=%)LCiZogVdUoW%i z=?gH(Q}Ca{0K_(B^5tzgnAV1&lKO$|wH8Q_;_NO%)@R8SdW8atZ2b~ySi7OLHt5M2 zbdZ{$j;etJ#DEH8FV|ziL-UX*WuC7kP_(=Dzt*qG0j0jT7-5-x37(XrKO6Y!%#XjmCYO-Nk9UL$!!cxBqQ~*Rf830 zFu5p;_aTk_&E!PT9EWh=;8So{N?Pfsl$=U82x`eH(uKNPrZ?RXRes52yCJgP9#Y9| zHa>_h;PI*wy@yQ_@Ik5{^nj)mZ+rhe+s9FRlp1u@_Q+Ud3~v&6|(vA>syHmbPB%;=`@4Z@;fSch=UOxDS87pT876gj8%-w}O2o$ROoR^L?B; z`F_D(!f#K1zXe;`>_bfZdBfPYV#N4e1Gnsj%_72(tK)q=cE4;-=$vGQ3aV$Dbt|a2nGlpf7NE{xx2&xDy!zYd?4uu{$^wC*=Vj z(s9uB?VlK?VIQuOr!xS68XA=2R! zwG8<}xA5A2WyoYfzmI0Zd%rLZ@5}xOdw7(SW_gk==48-f$F$1$7#h4m`&JAajiHqZ#y-$pc zKMk1c)-17#=-J5>f}rL55(FFqBYwrTp&DeMUpggw=nmDGZV=-61FRC1c<;^&f|5Dz z;PwM@1={tc(*q6cu#jtODS=f!JxX{vZ66a+3S{0)7J`hz0KtrdL_81_;d_L`1h3_7 zLZlJ}^>)>J4dprJkVA58#RUABSY3Bo$R>lo9^E#C1Rd2}rPppNoy(%W=?Y3~EA}4>aXoLJZ<{NyadZR0jg4sX zXZycSPR%#PZy#Ul>#)EYYFY|NHU2+YOFBEY1;C)&n|$)my#9re$U=0P=mSJE5tSXE z;R!|Z3#=7A*yWgbcNX^iYrhO;!8!7!+SDZ$y%YitoIP-xd)@ivc{Q!A9!`e(E@*XZ5=qIK^Q5$rtgc96y9ko8#b&xer6;gKN zaq=Il9JnwXs2m43Kb_E28{OKwO(t%Y!r?_XF3etP`72?P+hE}Rn2rNSyYo%EMjewY z$chbeEgD1!vN%?uCA$+G`KC#Guu~!04`J}WFIA+Xqs>n~f#bXGbJ)}Mvo5*d%T+<$ zfwwz0I(r>wD?CTZ>!=X@uz=Eub8%JmLSR26fmG3yLKsA8zOE8}oJ0(@btp9|LiA*k z#2tdyn0s*|{zyiv2=TcLdNiulu%!cs5FFd)*)LL=6x9Z=0|}GSnlWqGLOMoiE`6;`;RrXneZkM_C)FJzpVL%Kfb*PQ{@r za0@f+Av}zA4svx1Kcp0!`UQGUz$mH<&2w@MoR1%;&e=xTXA2)b0VQQY9)lX!hv*B~ zhT$#l*(R7;Pt-2#v58>sUp=pmLP|yF4!i?{4M(gy7PU~GIODly!$?llLOx`*9ZZfc z#T^uP@DWXLHDa1^_hqF?h4Sw?A{|v@w1>T`kP=CR+JrVLLaFNk_mL&$4ImBa-%=J3 zviNahzTSu+ zq?3e<+K3CkgSOi%5gH1HrC3ftqLsCQ#AaFax)45___L;AN`r=o`!jJM)HUeWW8Cf+ zQTt&e4X`kc=yN23TT`04t;lHV-^~ME(%}6&6ztehAHYsgjiQ`6Nz_*n!$4`oYlKVc(PJTt zDFInP4UXF@Awy>n)EmZNi=ql*E+xZNKU%c+e7^iS*(nIY@!Q>7ZQn93>gns?H>qSw z5PqsdZ_RZyz4RB?5Nq>n#yj0rL_&_fvRO(XO;cBNmNzs8WHb%?sDWq zjI%BV>?r$C)S6}Wwy4}tTa1$D9Yk9}{9+-Gz;UY&z6rsWw9cFay0D3tO6%Bp=!Br{ zK3?m2#Mc)iRJ2uxd31-2X2=U8V=-sOzLf`#*0_@c?QQ%kJhaur3D#xX{pWD>4&0-(Z}vxKhkSzP_7xC|d==%Z@e{-}&*%sR=ko4>`+|`vTXAjat;)^<2s-GR#?=5^VL;jTpa??ym zmVy1qc=J9u;jIIVx?*5~LfPrFyVdt@H#LA;roSc|%VU*v;=x9P}}ZH}9^zau{3B za5ho8x2K-T7^1b)K4zB12evQIygRGlHgwB?qN(lnDiKwGbBK5%v2Y{_I$z>+q=TSB3+XjC>A|uOzO^SPH2w@}N*$oG#`X^PkVo=&EuBhpzbq`1U4Lc67Jd#1FYO!S_(<$z`JWbgf zYBy&hzZclU3;UGH69YD$(6!3v?Ill5$HoGNKmd}Lxyno&-bN8TBtdWq&g zi9!<-YnWfl-uTnVv5r)qs}WT-OU*2z37}iGAxPj#wbG}Rn@si7Xt=d^rG_TmgX+k1 zpMP7SCC_$mO!yRheqGn(QI@~!(b*uA`sPpeo^fi9_*+Gb1cO|J|Dl^Xn5p)9cf%ZM zfFGV)fyHrfPg>w!Jwkey9XS>OF_e-h;pAR7Poo1h@s{0gr%}g&!whc1ZK84}6LRSK zRBIL!e7`+(uac4#@`*PIIdv8s6IRNdr;1^*>7t3~ul;=leB@%qlCVP5_=U8$Q_$BhhC@CAC%gHDe zjU+72*y9VZWv4?)r3=1uLs@@jfy&d2eK~u0)fW*_j>OMij&;3XE$RI%Q z9`{Y5`TNX`w>QK9yrCnPTjp8uQkCZp#px@d7(s!ypF>*#SGU|bgHv&V?gWTUqkL;@ zP#GhkXsj6~!T?DZAEf1&>umv8Jc35&+YB;zZkR+EHf)IbFYyX!qL?Slh?FduT!hzxHMS&*qNyH<2Pb{TFr0)a3x`WTGq4r573w1TuGo^h6>2&Qv%{9r&Q0|* z4B@DZ=yiLlW3>{a&cCxk};B%JFV8{+QcTchW{1haL-HQ6C%mj$1^?>ZOKW^ONb#L-h3 z6rlOi@0UeZD7@si-lGIwpNg9dDTV#LdS&=AGA=B3ZPGQud>bbQ=Zb6ah3mNcB~&u4j2%Lbhk#0MKen8A@?e4 z-d4}6@VHu>Z_y@dNq9v-9xV#Yg;+MBby}b+V6(3R_KU!Z5Y-d3c(X-k#Pxs*!%7r1 zaM}c=Jd-0NXjt7qq@1M~bIHDx{+u@>jWziuXi_oOLYlRBPw2QO&5rG;Bt{Bc2~OTJ zDGS~ZmtsHyVI?r^ncw9Ub}s7n2|>M>T%1+(yFkPV4l8dK6gk{e@Po7S4@I7vR|#?5 zMxN4+fZoIieFdId4K9-`XD^q7BS~103@I78QvN4i-mrDf!FbA8Sa~3q#yt%+HJFZB zoPVy9Q)A1<2!BgQNK16Rzy14rbhVZ8Jo>Ct_>l}!AK33;_QHf9KUy5XCe!@5Al<5& z<#(A}5rIb;e^J-1D%2wQY`VT|iGEkSTaktM6AD?bV&r~!B)J`_fnyiddO%S)M`k8C zK|;=yH_<=HMl%xJY#8{Oy0UQ7?2zCRuLoxY+SWf5I{q2Rp~Eel%<)SfuH|qfr$a9j zIdtW+hN1+eLZXYKAlZYD8RbHJS_ZT5lCnSg8}BM-u$e*wFAQg}U~VmqxC_`w2vzcm zD+}2A_+r$wUBL==HPa<*5Qw6k0`I8$FeO_g#XE+%i#4y!!LZY1pHS$RHA{m`rilZ-lo3r7_B~@M9AqAtpHssUm5Z*q%@nZvtuInThP= zTDb>AoK13;6NVGwEP}>VB@^-~UJ-2=CLxE;20rj(FnRn?Yj9&Qdu>=10ZOK{M;wB` z2Pv46jX5cp#M%{1b7>qwqZcTc;DJ3H)-ti~Z^EhvN6Hw4Rl#%?${2qBK5cSQ&QyS z!w;=zj7ZY_kT`@2_>`y3*GdEc2?BMx6M;hlzaQcEo(X5t{KMl1(Gl=oSc*X@Oij(x z1%2<}JJr?+{o1)A0IYf0=gV+6eth7*^VQQQ!9N26E|I>7=Kz7Ch{4en0Zm|vl(~>4 zI-826ZAfSxAxZ{K2!b4)?=OSTd1<+g1B+8nNI`iubYxDT1@^bhmYw)~;Aj%vA zhSW}(36>QpAiK+R-Q9}O!snd+_z@Y^J2p)-mXknRtiN`ApndR5f|D}Fb_#SZpOW(W zATv_B_bc^Ov@O?Xec%xL6sR@u9BwMsBE~cyHlWwg7^b2BLGCgmYWLKh*ogk|WnhPy zQS?DD`yxW3jo$|`+2Pcwj`l|L#w^kH!c^_%jclS0dcd@eHVCS^mNxaYZGJ8->n}7( zhGb%NmWzMA3zTw7+4|H*VmceU}ZkZ6d zS}rF9+6Re(w4+F2bHHcKD5`iA&>@M$zDU(bL$*BRz$og%4ont4xf;EeCb^hV0+rkQ z4@U;Eg8W&-0qHZh1j?~DYq+7M@0t70U}`bQN}p!26b(wij1+8U2=8EJ=pNZ*i$2;_ zTJz>3TP1wb3D(?4(vnB#ECR96$s=w%z3W38-{#ccG#ITxL-u#Y%6$x zg!b8+l&Wl`V+VBNyq(r}LY4}LVh#-z23?&HP+osQxZtB8?h=QSyu(F;Wn1>$%KIVX zZY6?2OYZB`7e0M@cdwj&ewu;ePrOjHzmR9^o1jN945BtFc1Q~DIHmHaVPMnyiyrl> zCANxf@hddH$B~HP_8Yvh#BZcc1>kn{Gjt!IZ|Bc67Y-CiCKOm02i69)KUmB*4gx?5 z+{n~!s=XB5r;{U2YCxsC17iKRHV4U6S6z&m@eXyKO;|~XG5SNkd zNYg+jpYB`7XhwgQAjD(la>gbECBbJ6pL^VW*>(r0O{w1sqdRYcMBmDG>#*K`@0yd z(JS}+x?f1k8Dem7cmiUs6}X?}H=jr2LW~}6W-ZTJP z&4hP$d%s2VdaHle^GPniFO4wQlfY8SXgzC7mS&Z@xw)}1JQfvP8^9(JATR*Fn34ul zrlGjtEGbdhQH^Gc{;asCR}s8EPKvho zIJy}_%kV4g-R_>#Fb6c{NA6A?5~1?(W~hKWQeFq{nl1=KTxWCllRlJEgw!qc8TeHN z&B~zvJuTgf#Pj^-OOQJDq&d`uz~ZU4yme9kXbOeh(}^tV_%-0UzvGaS(SpMZo+-0` zkekm7HE&&`AAQstW8Y)OZs7AA^n0Zspd$Wql!&wT-YQY zU@8OBR4|?g+`lQ6n1xFIjE5@Hi9J;D<)pO>@bN*a zt?zXMSBgmvojVsFt|X06?-gunKU297)E%P&3BS0^4Wky#10QPF>cwrPV$*?$)sLII zMG$2A_BL2B&4AYKdxaGMCyrORMGx!I(xB zf_K>OVllh<4Tc9c4_*>5oDUu2wHfje&wy@dk%~mA-#2Vo+L2SkxMB}x-BxA((yYoa zA3MmOJPNz?PaS;>8~nRCrm-ulxV7>c{VtiYWSO3UgA5%xx!_ounXKa+o7?6N9(k;& zHC)mN&AzwnmY^$(@&~~akGX9a5gqc$l?$u93J13G=jIL=-7zox`Z_|9$mTvW8&9H< z=x3CW**oSA4a7t!*`B?FC25W6Y}#JwdcLv^Zh3oUXMizibi$HDct++9ntiOeY&f(( z*)AoFN^EVfHeTQUL58Kf#l2HNDlPm^AI&J-z&La$deEUQ`-55nD+h)iH-m^*Sb|ru zsNw4~DlGku8ud!2Zs4E7o0Z!=b6OQgv>5c9qoKCRp-3moV9=QTLGMxK7WT?6a+?B! zc`Z9=0l_#m)~HN6Eg(-jdPiEKUYgStXx}1u7#*J|(7?C?9v#PI2Mms(zQ>IT`j$X4mG19L=NEEI05{m!clMo?3HOsusubD zLkz)|-oS3=VGjB55lyea-#=vAYWj(=-_a%MbA3+>ob z(a-G_Pf@^A(Y}5(Y<|1gjnUW3friexO;n(UR{T_U_UnI_tC94L`G0Xku!zkm6Mo|vFo(-2<6#2HT_aF(i*_w)fbE=~ zPs>T2Gjn<)603#j%<1u~X9Svavdm%9|BBz-dr3>jivQ#VL+zv2ZzhbPDx8Luz?oFq zBp{9r4hvT?8?DAUkjwXTV2I1;ES8cLa0mK2%BIfPCI@^A6ML^O8`}+Y7wCa*;irMh zRvJ$Zq}Cv=77Qfy0)*J=JR88GAIJ5gK7jvYl@A2t)&KWrDtONK<4;Ny!2qBmZ|V(0 z^0nLJeC2caW*!BHjam4%TCZF4yYF!6?bxpS`z|H>7>h1+asM7(Say4#^wsy6CK+a>t4jbEY zxc&2f+U{%oSnum7#dG5Wi_O=~X~VPOqt6m+Qz61tI2~T|x0w3*=M2Nm{rl&%D{>Z; z4=0@0moF|j!E{khOA`BEH_?OZZmrdn+i|g!uhy%MnXD0_b6F$LNUl8c?}yOum)M-` z&)Znvm;K{s-RONC#lcNx6|+U@x^kj-ASK! zv5x8MuXVn!Tlnu!-yFJUJKtBnz-8hr6I){^XGaqQ8>pX|ouMTZ3oA1LJ;DE;adQ*U ziCS1Yn>hZA)&|Zd!X`#`#wG-G(k8ZM&gKM+OpFA)yiou5a<@zt1ujQW28eTSC>;W( zBfA_krfSKnZPA(pQv*Oq$YY+Buz?heIo!htJB=(;Ods;dju#Ee%noz~e`OJM!pj|v zDa(*vCt{@?M>5{=i63I|VW9GG_NkamQ+f!7=yP)pT+?)L9>QgCV%rPmaTOSgPOb9g zXU#7qk=K#7jKd|$49zmFhbW%#@u~ANnoH<{n7v|xxm}~sX9B%}%s~GEEj)Z+ww0xZ3Z~rxM7>;_h_ENexjl@()=gUZKMs4aVjh6HP-?OiwUBHsuU4BHal;g7XEwMF<;$D0s*BZ3Jb59@+>2YbWD?A zSDbVh=3$)B31se2CZxm%ZwenhDY7<-I6gSoJYPM$f~ZU|J3yz|oTdn1^xIW~Y8?IG zxxw@UZ~kA%9{O+J%P;Owf_KilQnCpg=$7VtjX z*+cTnm*x-a73gJ@Ut9=11h*l~IX!8I$NR2Ip_Dyq%quCT2seZ!^ai>zsF+bi*2~If z-bK;gDT++wIik~iL!mR9!Y`Z7tdW-<@0=}sl_rv`06eX;Alg}yI}sqK6=nMAvmq&| z*pkcDEqqg6rsaR}hW$T!!^r&4%`YO~9xcQGbIt>b4x#@^?V0T=p0wW0BPnVhOsL5h zuZffz)*}T|n`pNu_9JBu-Hjf+$22gF9xN~wRLGzCh>4Kq7P2O4d-B_Us-vGNiUSCJ zP}9D6KJ7_+}k`nJ4oI(pf^sL{H9KJJ1rI!H=_lq|(Z z>DPAyrPi;LH4)?*@dN(^8RlJTKB0KSiQGhmXZpsN2Zy>iF_)Rq)l3eWwAHJUOKC57 zb+R;tL&~gUMqcu=du>_ot9snogZv_u_sq|&xa2#c#`V0#Q#DeBwCKf>KP}wfQ8~9? zz%jWRy#In8$A3kSiT)pZfki>Wwx1rR;~e$gA7GERdssm3^1B*$4pLv=Tq<)C5gQxP zExdPH;9y8=DJuOXV^rt1of{PovN?cU0Yo>%a}|=-4kP80eZuQTSCbgw+L7==oI6LSr-wUqpwUiJ^CqL7l91OgGpR4A$DJNVl zIM>A`rztuQixOAvo0XYGg6II5G;?*XMeF4&+w=1SxL8>!=l_R`js8Ev#YE5i54d>Z zx#EA|67tLnKp%;ENjSJSCQo|)y5waXRrQky2cV#HNvkX7Ca@rb{GQ$2HRL*UUCExD z=xG$DLmsD`&Z8RG5P7Xji*Bpq94zmr&(eA*&5R6@Nk~8bC571xo!#FUew^$*0MEu; z3hoju)d#z|Xs!V@Y47sQ)hV{>%EFDFp?tQ09*eGkdh|*tmmhj6x#z`AL8$FXFN%hA zpft-LQ?Fflrz`jb*Nj!yCtxXYTu;uu;^HAkYl}XK0B_u?{35GxaXG`(bs-7KgVeOE ze&x-TUVDm_!G7U$ExI%oRb@`-GonU*PO875L?(h{EZd}R8@ZT$l}AzR6yk(QaJCu| zqIhJeR^bc7Wk*f7N+VWInR>sHT7EEBa*(n{P~=%qIvc4rXkIPIsUf!$ zR$CUN0}vNK)xv%AL`Cn`L5n2kTXR+?D(FgNTvIrY!~)D*1Wweg%lre!;;X4wG5bfo zN3q(g%*lZs<3qS0(?`lHuMAuTolRrkIV0O8D__*7@|uRfMTbG_Q#wq!AXjBLm!F_z zPMksi;wj^Q^pug|e{3=Nc0{3{;D-kk`e4fIl5KjtX#C5DB(qSERS+pLU3xSzlyfZp zFQptVuaseEN9dugF)QgW5xRsL(&rhdTkr5Al;_RGB*gbEiySa^V~8Ud=dJYLz%#hfwy zE|A0bnTv3QzL#2t&w)cD6d(Qt9;W{Y&;NMaGch*H)63T|10sc>kwG1qfCfh?1WrG3ac*8XQ%R~QbK+3@S&o8FPpH>$T1{fhH6@Mf*Kh85uKCz#! zIcSTHE&eyRAh$3c$bLti!Qfd~zOAMS=8hP~jp#>{p_kHHe%Tpt3?gK;0*S}V2qxvz z-9^Kyf_!Z{P9mg<`27lgVlU3RVIi&cG#}1t-wVQPWVU&NH}siNsl9sxmmYKa{fn>vHI`)kXWaI$0P}a1 zg|`aQqKm@}i~-ie_%)Db283w|G7BUIs3R1al9?h%umcmNfB}p)pdS8^5ili7#1?)PM>xnan z@{|(qZwe-_qdH;(&|21-A;`paQJc?4bKL?ZbY04JuBNIh;|tkp^Y; zJk`wtq1#{zWOx9Y9e>c>E}ZXM^wQqtnqbF%Ph%i`$pu^fA)#4JaSZ`PgZDVplS27w z>)mS#0=0#|!FkSxVX(;nlwB3D;i;voxuHQx@#VO4w^4;RTD>~q2J%{3>mY8XGYG3& zanXoOm$R4-8i-bWJf{T;jExGI@G@pzx10Zqv2P61WLeg2+qP}nwtKp#ZQHhO+n8zF zwr$&*Hg2zd&c)tm-RD`q@~bZ+BQqkZD&LC8$YfHwpZ#V#H?lb)AboE&&EPuqsrq=|{LAk+mHkFus|L)-<|oVV9^KstbY z%)c?{KLwAB%>Oa1#E!#)5W)ywtL!4(Ve*xSF6OL!R-ZFu2nsz55^>)$K>WJDW1AVg znJwsN|72UNG)$(!Z}U+40e>17+Hr@fV9ua85d2dHS6F{4ZEPfksTq5>NjC78RkF(O zKo=e`_@+|hN(i5FYyC5tTbMpoot9x({y6F1uAQn~zCy|jsedEOKZSDt`I3^2Nr0S(CUf;iqhfN6=SAWbk>u~S z!g=T@2!B(U%Nm%P_Dp#k!2QOO65R~S)65lS{Iup9iA*7*FpaS%`!f_%&o2P}a}MVJ zDJ#c6#bJ!>|Aq#b*%}lW{Q6OZ=>V{jfG+-q@jt~G%>UtfpjG0GAz_3W|A6w*1316C z&B2pdc>8jaR0RdCuo~w%aOf8y^`VJdSG3$)7Bk7~yQ!|62)>qBAK?nK91+zTP3bcg zp*dh2;28+GUVp~Kd-*jnS`R)%zxssv*JQmx6F$XUJQ*b=@X~y0{6PAgMs0Zih2Z-E z;uf+{^DAI*9df6OVX`(BvD7yWEE*boJX(n@2GKqlGA`l(dP%411D48|uqq(<962Q{ zWkM*aI+Y@CRz!6@8`Y|B?Z}p7(tHw)m_(U6?@RyVn#NQ)$?cwkTr4O0jOp0~0-L>m zwrZIkEY{4~OHJy<=HlUS*O~DXezaUd0(HI(O0IAOMS3OWIU^!tZejdpJM{_E_Y07D z&kOKxjPj2m5i{GrnOjyt+D3#BX5BGDYe$lV5O7L(QT6z9y|!QFk}3qlR|5XDP8IK5 z*}ysc;;vXWb&Sa!wd_!S{Yw!B$mVNiM6jVbD%;=)X=$*Jgy)cj7@K^V20xZt9@`{% zXdrq&n+{Vi7Y&eAGkMaV)0&H2pe+uoxuSl{NCAfEOlT53kuIxrHZ_bhr%X@Em8>xi zTZ?ZoAJ|@_6ROoPGSPMb=VyM8{)~+Mk}lv<*=XI*5dz5&!YS`U&m^emvN3mR)IRvc ze8fK?i+Nzlt-%H5hY9bvYd{R3O;OILFjD>%0KMB(rQY3uB+=T+f1|X23X~XG|NR;H z#w>r~ND)U>K}e(;h_l+^S=X;}^cSfHTL9Y7YEtD2d~%|ajb*b326wnzS<)XgD`ZWH zSPs}|f>MlWZgPy3h0Xctp$q3NWfd*XCdu>W<70!q_hxF$iM)NRXXH1sC(pS&4do}A zdDYNK-U5vr*^&y3-qi;Fg;_4XL|GU+e3;_tl*IN1Hc%H&m;feSYAr+ipqqf~?tdfY zKSpN%;b!8E6@&w3{PtzI2lFFPx(KOn)vJD6UROF}Q)dPuiV;mn*tX09E;9gjII>u} zZ0UwFB3ue?BwY`#xM&X7G~UC217icP0efn%_Vg98J>iG<%#m0dsab&dg|hiZiaqiG zFe~U8<(XDt2SRIZx!MX#!e&EVf+a`EcIR>V`PaPamagtLUDV%*^iKg86U)CNFj_^< z1Ykjk@ncjEA;>vW7>*WUc?F=uQv zP6SkmISduqGVKn$PH-2T?*MEOD@`EgIWWH=6uXDLo6OMar86cgi087Uyomx6HM;%i z0I0I_%1C;@d`T4arPeg;NGsx!F-B2l@=#O|u`HpIME)6BIkR9KNMWU7VKmO5&*?aE zw!SK{1Gw=TS%R6vcu_oHzDDa=6MkdDp@M$QF!+ziS z?WRy@Whg-YMmaw^oxd!tXSnqdzl79Bk|5m6N2e%HrTMsI;G5{WYl)zLJCk0FWf0_0 zU+1US)y}T$>DghC>G+|s>z$ZKW3f8z29(ex3;7R{-lTgud!BU3W4c*jI=Fx!3XkeR zTC}0bsyFcD#>oNhefjiX(H`U{+>hm8zhGxw-f-93?2=o!5Y0NEGA-1z3}Zkbi{kOP zi|>4!2#$I>HPG&s1o6no{K5Ywe1*wf)@Z#ZulG3{8Iq? zJ;DCJj&;$fcGz!6vB+PJVjnV-T#Dp+Uu*)Y4LkWZ&lWBuCgm;tkWi2u7@82}Td?#( zJ=PX6rReO7!WtW0Xa6G)<;p)#;8gN1F7~{Wnk4rXM5UGdY`zh`q zl2;I!`Ev4@`_ipkfa~m$0}4kI4R~O+kY>1QVM4W3piE0j?NMdWf?m5S82eO6&H{ zajLVp>i!)>PF+JQAVf$1b57c4fpopN|3D4@iL_RTFZMEHLTT^`tsZ5Xwpx4|v6&VM zL=lp54LlJ5ta?}1ElDo0hZ~z|3o$Vs3xT9JLpoAc zB8gY>o%--kQ8J5@4;i)Ni>E_5ibdfl1S)}g>k4=gH6p|~GtzdCnBbn7toma8q2-+A`%iFDP0zyrX@zg||Fg&t3+KPx zzyHF03Jfd^;0aDWTq*g8|;3Vfpnlb(GyXRfp5ne!#GYo?Gz%U>XEVN z{j!xLLtpG*HtGw{kLef8RKakSMWLxeon#)l{J~zwRZn2$MvA;Q1Rw&kiXJzqR~S{B z95?8IR|b^;s-d@himezKK%KM%=~S>Z&^EDCdHm?YE=+&7Q`Y9@4RbDC(|1zrN#j)| zgg@~h!|f_b+<8-ijA#N6s+67`pUlN;;N2|nm1|7>{5Cp${{f9kp+)sS^vCw?tNLe# zV`E_cHwCU;@>s^MizRG-P&WX=#n};Od|buE1J}84kV$y0tb}^qOo40cMYW_*1Q#vU z@^9F7SNJGcRgg{@nfUYWz(l>Ai90)YR%*Ol_@qpK-iz|JeLe>Cu;#{Nj{cEBOgzn+ z_|cAjZF9eh#rMuJ&TR5B&xpHVy{Q|Ao*7y4>dA+wGspmO>cX%PG zR%Qr!S+{l|iE6sRBLx$78bWcObMPfADn5#Lx=6+jBOsPsHCz&QRAwsIP)SZi3N zn+n=`J(hrwB|wBRCxoQts*n(~Hir%KdpnL_!%T$;NEwVPr0sFG<5gBJs@l8>Z#i%= z$6XLuc@72!SIEn)*O)su8|*+Ll&FsQ={sGe!bmN)AmJqOI5P=ycH7JXd#$!0kfuCG ze0;s$@}VSl+YkvGBJG7?Svy_BLJm{jK_ld5a>c*bJfYrzl+5V>&{j;QaL7K-SG4r! z_}R)O7*6fvRN}ezVB>X7=S=;G8O&kA$Vh;KWXeZMh3A;fVZu>rBNmipUSZ-u$f5~% z87%>p$kHB8;~r$NgoVt4kZ&@-FKgqn?$eO=7-g_pV8B78aaw7{&G}2liUdIb(fn_> zuJlxG(WRy%pVl2}jcC3zywIg<_K(YGD_^%dY0!hFed&K>d(xaWwsWG)l&!pmmT0M3 zH&$;Nwzy#PJ6Jc?wA(78w@-_{^~Sd4y}aXdD6gVC73Ugs698>Pxt$YE+)5oy*4m&O z<|n)Q8$r{<>CRbA2;e-b2prrf-KE9;V+cDeKohwUNW6 zq^qYruX@;5>AK`*fAiyo%)fmQi6u1J@j8|on6%mS1IW&-S+Nn{Y0$U5&=k<~416;A zMD%)8Tt`wgZMK2P6@>-gTkx4{T1k#+IInwaA@F-X3iMQDsgzwzuDn`FN-zF{FxgXl zU?HJ}69yf{WW!_cy^$mv?ych^KN3eFOn&6GUpB9+70QU3YqE#*5E9O<+LEaC7VOBn zofMPjN3vY}=HmKG4Hw}gRgItk2S=$O0pV286BrAdOTE``j)0K_Sd~yHbN>Z_NSPBm z%0B_$?Uve=5LrD>j~`=W2m;zwEoI0d0a9uoPn><-H!Dya$KCDu4$=-oRWCBu1qpNz z)r~{k@ma8p48Di;tG^{jD{BeUm?;DW^WkofgF`Lrgt1N=obM!$xeBbZkf#>eoowWL zVWe`6-2;SrTmsGVeeP4VY3y4a7-RdUkA?(axBWHFpB+7yCLM(yB@qM^IU0LNA+zJq zH8g^d?bP+($>AJw-W)E=ZZzQClVxr@{Kct@!U1e~2uxQ_`+BG8cp#4Vl>R*oA$mK@ z5pGegkP_x4MNkl5hh75YXL!Az{`B|hAZ&oa(PCgM3iYJ^+It_5^Y^1}WP0cYCIK5{ zU`YU|(O?^GKfs0y;3(&Ozg+!d=cI`mbt!=3sU}5{DsiKGskonPG_%Td zz+~IGt;Ul`iF)KxYPMZwWc^PPp`!3SPai`MSy@MW8PEzD`HIx$rzuJFGKam#N^0Ms zm9MVp?jZrM6#!dByzj$bV9Fd;n#$lKaFeII0S)8Q^@bV`CC~Ceok0<(dN+y-MYRmn zKdJ|6&Lm+xAx9TRqWV`5`KaWjFX0Z{Pn%s6(0dzq3OA*03r6KKj)AC=oT4UFbwsLd zdLjj&4_<}bW8jIOZ9LYS;38@82l!8>4g>fjd|N=Ml`|sWfz`Vunl}780aAV}xEc%s zB@s~!F@EKd0RH^FIueS^)l72j#SsbKTY3o5LaH&4t?U+N0uq^4rda9+k>+T;N!sF$ z??}=K&NjZQ9;ucgEdFv#NM~M21K)A)YgQb<34A#0Y7ruBO9b9&y zWgUDLhBe)I*RGEvBtXFrEE|}%4pr~9)7n&Ol9nZaXh%9RK0>$VUUDb-A4z?Ul!2I(Ff4R^5LCNVDA~76+iPJF}BaJ73tLFzSLm!f>sjmRj*Fiy7SVdJxE}PAkZBfmi-_?3Dye?Nq|$seM1RPv5+@K74<_lTm)FrsenEyqma>- zMOvHsL8kQnB?Y{!@;$x@R)+SQ+mEd~zzFDSwAsVh897A=2KL^}iqD!=_8;&G?#c`J z8=Id1j!sic_wl}7+AY%U>-{XnzUd0p>u10P-zpBM6K#&0dC47DwYU0cb_CGiSKS|` zYT`&r_8u&4Vh11YBLEMcejee{>xB!-d?LVG4mS3A^O{61;RGvl<~eIenWv&w;8pI@ zpn-gb;3owm(>r`Z+r9)%B%g@M=V3r7Se@-NUUMMewa?St-_myV+&Pxl-%Qp$Swi|P z>i-2Mg#A=uzY5}}_;B6H;5x0^X)#tXXkrKq?TsreEW@I%44F@6Wi?3uJ{*LBnhv1m zOChG5RnBCxq7b&l`nJiLLs^TMsHdU5#`uB54JI~XUNIFqzoUFW6o`ViYF}s^uRK9r zcGdet3QV7oCrBco@;suQUK7@1Fc!?31u|P}kCmy0)$mKS31UPiK;8Y1C=xJdVZGpb zC`FZYhLU)_oT$P;zwA16hElHO*tnq^(@F`Ah`te3VB8E_O?s(0xrDYzk(|Mf{}W^b z=o}`YrN~GWBSy3-r&{cz_((cG6ApzDNt}T7FDOR|GP3S4Isa>x*pcg05Fmg|Cb1s$ z;~77^qErL|i3X-1b4a(5k1UdKr{LdU1^cBUoWSvzfK~>y)D9!b8{Bz98o^u=ox@3> zU_}7K16)pRA2# zSMwQML&p{(1LlUp^U_P7S|2-dycp-Ubib;&B!7av5PSPfy(|54vF$kZ9sFX@a{@R( zL`g*nlAsJr+lJjajn}x-AGJ@xmWeT(a#MS^8P7%nc8o`4Rmv{MVYlK-_27z*%RPgg zGY2UtUtjz5IzPyHzUsa@s?KVrM7@Z>VWKfJa5PK;4v=spG zBBP*U(|VWgOTe_gtnzZH`}ydPrE8!{?+178PT_W&DSnVY_Zgjl$aud`w==2nje({Y zRpujExSEt;$Qw+UDIE-*pQ%3~6ga|0prgimc0;{hV*CCQQ)%2u@514jDUJ$1E>GIa zTY;wanRmV8w$_c>)VM+8Z3wR1v6l9!mNuwggYzmP?$gUr=rwx8RQIRxsYQlynLDQ@ zN|>?Odw~`Gk;h?^U-U$G_0=qGiN#bQL4F3btNB=9Wk#T__NvQx)5S*WVw2fA)JjAZ z6#Dp3^Pq*ZRfOtcK!nHVTxW>lkIW@`C{5dorG9YfYc(JzBsG!!V3I6QngW~zGDG#+ z;~`^UNbt<8ezJNQB+e9QDhHJwXgJ`yavUsmBt0rohAl1Wu-&O1w407;HpK)D<*E}s z#U?)LRtgL#oGfr!DQ!&@aDT|AGrc@)d=UH8$7aLXp!b0`i}nJY7lu)b?UFgoA;0%? z;~TPa&}aV2F^e&AuAIV=XjTCL**r<2TG-ly*2kdIDxQW#)7T7^B5{k8O58oy zk+wRVQkA1=cv^@IJMMqvObfRU%KjC3;6gjXC+?7unErN6L3OBc5tiId}&ksvS zyAF$f-Oa>ff36Ws@rT3DtT?Z!0n%I=&JJV?rM&qS_jJ1zh%`wCV-2RRk1+%$9T>MV zbHorI{k#{w=>&IjyB>CJz&zFo%ecKz|Lq zvX_9;QtjEl9HM(ZEw{`it*yo-492`{BY9!)=ZrFtArB%bxB5%CP@e$hxF_F@ujoB6 zz9_KFPA&i^HNv)HuCOAj^^D^fBc0Z4T-0_CR2B9ofdfZa+^|3pc^C!0^Xbdd@T-TG zK7~|-0Q|@x8|eMHP-0y6Z8-*35~4q?&RaXYYNtyHE1;&&C3Zj%u~{szwTfmc^8i?t z&Yo2}gCKFo`7SRJ#@>qcBN~n!8CVrWmr{#RJ4O2_RC}kQI zXghD`*wzY2an>6VS$;RX<7I~ptz3_B#W1o+bvH42RT|x*EE~C%kq23iYoKZKXe5kR zrDElr$WT9-OU<^ZL_E`pr24~a5#e852H&Ope(Ep9eSnQ zR)?(92fLc;`kREzXI7vBD&rXxTGJH5OkTZgR19B}MQ3MK;D%eJ1I73-{*dYvwU^ns zAL{tX1#R}^s8UspcxOkLt}5pRim}AsM_PQ5QU7d+o}rMECpWbsun?fBx=VTnkO(pm zq&ujp}cM6K`4Rg80 ziCG@?$_d+PkxfZGRbFFj9F;DR9Gdw}Jb-7?mT=n#LeJ&fHOsYY-WPJKpOr+$+#KjP za!zTOwVSWngE@Tv<^7O&x>eC;gbz8fJdFF5!pz5*3vxTLrvto8p6wW@W(qK}flj)! zIm(0zcEV?_rIaU#Yr!A5p&#NtX^=8cbI6@_gGQ77IKV zic}BKeruG6-$pu@*Ff1~Q@;*hsOb?m!>pAN6u#F8?Dg20&%Cy3-h|)#G2?@BV+xi? z3y)?^b}cU++^4u1nGvi7YM&&DrC7d*jMtH(*$SF(FDr)U)#<)ag!>Utn0CsViZQ(5 zkzom5GWl(y@fJ9>=WNc*9a*7)T^M~i=go-SwbsS;oP#8+6k>uCK*DKK@P%~UU-p_z%-mbZ#48!y>o8+;7_At6YLyz8OX z-YYK>wg)%|-z~EfHMK59NT-%R_)q!q_>S65s>o0(z@1lv3F!)M ztEk?z)I+Zs2HL9_q@N9blgusfgWo&BF6G!n1wvGRu9Ufi-O#m_B3}Z}yI}I=aa`b> zu@r7|^o+f>Tau?U#9I`P+M%XKx4eruxRVt}y$yEc@cbb&X3M$sRU$QbOjQOd|4eCM z<%oqo>z2U8QkipN?QBv1xbdu5GbfPJEyhKwAd+lC;c|=D2Es3k9B}gH(-)R9T)=Z{ zP{&5mE~KEEMJ|&sJ>OUNPpSFIf(M{D`!%J`gN`SwQuy-z@@05l{v$i)I}Mutz$w%4~BTG`Bt$Z66pprE+90J$$^d0BUv34wXyw=DfhWEizPGH z8>Y{8$huzy28hZ<@60^?#zu>NK%^OeJG8Sd+oFf|tMf`lLQ~U z#(i0QF-JA#t$wfC-Ze5L`52O6%%vrq<`^3%j%z@!KP~I1(cJ5Sl{nCRzDsbi=NWbg zSj1Zx=!M}3&v7hw^Mq~rgzIFHqBk2VQ`6R~Eg~Q=;fVZ^@7qWm`s$;r?3bPSX8lFH zibt7g2Mi+c#7{pXpje&LH8ZotE1JQ}UO`Zm>vW%`r`xY+j~e5y7<3Y_U00xWo=_#m z&Ovc3w^g20t%>(Fxn(WS2C`BR9kDEAR|PW6yKhZu2b9TBX6%&cl4 z=WToN0Cg-SA35i}C>Bv*F>%#Q$c_ddPvn0Gt{Nw@lHW`3&sI~t=fu!v-JdBJ+WI29 zQk{LGTX^9k03W(^Zs2$RTv_D`Z)x7QtCDm4d_QU@VWGOZUf;-G8{pqqv@{1RvhGo8 z;8!zIt1kQwTzlVkqgh*7{15j&E9d_kzf*Cy`%ckOmp8C5HgqDOS9UgV`qw{Vwhq<= z^g=?mZUma&(EtVlb_NbQHpcIq6c$cKI!;cG?_b(bf1mL4SKEK_Wh9^%cd&J~BlvFk z%|hw_<^nOWaxg;CD|~12(0%6&8O!Ng8xv5_(VLi?(%Tq2JLp^KI@&ro(b*Z9P!jwX znWT-0t%&*e7}*&AitZ`>cWVWGQ)4-2YlH8sqi=>v#*Vhm4u-~#1b<~CiMlz7D?5E> zBK_-1knvx|e+m45tLTLV2^i>@3Fr;=|5biRQt1Vm{=cN(B7GD7Yke8LAoKs1jDe2j zzd8Q3?)R_o7QL9QjnlvA#TW_LnEq0!(qC2d3i?jpIa4-&RsD-j!NJy0+1Tk@?eq#F zVg&Rm#%|w+k+l96ROr7;;r}ir3ADdWW~OgsZe#j?+W&7`{ujUh?*0E{U3Gd(Pt&&A zAAEjB)HnF|mhNS0O&EZz19jAI_RvKA#HjmKOR!pVFua``7WJ#&$h#ST-eFt}x_Q;v zUHzvK6MlUB>7Pvc(?93Se_mlfU#itSK7hX7U&n)e-!@b2Cu4KO`n%sK1MwwT|KE4j7(zE(LOns@`g#Lv7d}yclevDP|h$-xbEo>}}UGjeB z?PrYGetAjt_4GFO;JH=g&YiwDoLav2{qwqA?d$$=;k#S>>Bs(N`F@Z6-cM>mb8G5* zTlw|=oke$M>w9~@O#gNB=Z}v!r0(a{_;$x9EV8Mbmv<2u<=O_mTjm<1*YrTE zE$7Z)*JI!?lbHI@boVpTjhwE}=j6GmZ?aB#ch^fPJ!tH1dXR0rXn0?Xy8+^k4>)dz3;p(poLr#8~6w1TcBvf01LX8(&!p}^5V@^OQ5#_3}KDf`gykMkd|t_QqNLz36dM1IoO#awTi z<4{Q!*OOyTnK=0P&wJ-$p+(-SmgC1kzeHX z&%e40Z_qwBoUG1zxI?y`^J$E=zkQNRw1NLZMEdv~#Yg&ho#soq2PSQ+ip@yW*8kU_ z9xRV;uDd32KEF^-o@72yj+cGzwZ`C)P4Jh8t>gulay9%v?M(N(d)??i=677jjPwTG zDtW5zng;pra>WQvEAUV6k74@xHAsdRY}2!teVY}QUNLB)ir>S7nAXIrbA#(beLEEP z7Bne_C$?#mSZ<(6rHVhzixSTL{@njmzSza5O*TAhR+&ogK7QA$iZ4)E%atf3Nn2Vr zP5!H?T)47rvBSjsrV=G&sI_SM1An}VovDtlVuR=Nur#S$=U?>vSmj>l zn=ixQv3N0)YW+&vw8?9BYjD=wzQ0r=QgW6%#sUsmx&$N_?Hf5A&7bLSbmq^N)BgN< z(-mLs{2Dsf{2EH_{uqS!LUQ!wWVQWSIe|!QQojE~68MvaI07~Grp#R5&3j_2Vh|Hs zr%KnYm&NR0BC4E`hwrSS@Q+%?4Y6fa1~A>8Dphr4GQ~{ti&H)jkH3puKP9q7-bSyNV>8_Ni9p4j7{>oh1G zzkXy_@<58}tXtxHse0y=h~-OGZQOo0F8Yz^{!>HP4(=oyN%di?#Kea?fBv4@e!Djb zhAis_#c~p?&0sit`P9i-{vm@nz_AvuhXscw-7LF0@no)R_n3HEgQ(>*$byj4r&=lb zIKU8Oyz)T6cCf`{JC&En!ksZ{)Ve9R&5e7BERUYuUq`W~p4CCc4lTY5F0dn9`=EDz z09F_YR+Sogq5*Bsy+eCHB$8P9U)2rm-S#@7`E)V6wQFEJ2O(Rhhv2g>#q~xVOnkmn zk&UBQZ#;?Z7kPH@7&@9#n>PavpiRhto?0LK zAY;w8j9vFxaChc~&6)GkmNiZ&5$l%Cj5epdEK@7C9U5cDP2w`E6{Q`XgTEI>Z4c&o z>q?H)bMa66gPI4Jay|M-i~V41qV&5yc1cUN$$7pqb^?cq5OIq}=7bio6IMsIT2d^y z@FDY}r=Y>)zSwy8SI(GFvMHF5e8C#;`cW{;%1V|oT&&g~c;eXGy=P3jVA@Q{4@=3ZDpGxbLtEdAPvEo)ua@pt_&}GTQ{bbU9BjvrhBJ`S z1XtC(dP58=ZYMr^OKX{JqvLLg!+%-p&(} z(sf+r_`J(7-4G zqD`RmJQ-oUF_w8$cMM(2yWpPMV~s57O~`kl^eD?Y@58q))gN6UOfMMbU@NCbwyd0a zpbsIc{n^e2_an{@i^Ah%4Um)$(++fn6UF;Ds4@dA@GMB{xZtGR`t6YE>isn^Jx9np zvRSUl?cLZaPG;4x1LeK?Hc5s`fjpcV8{#i!Kgh?kU0f5g(S^W z9W>=`I_Rd=}Jh^sx;B zjmCV0OlJNhU^cKV1d2*B@^K|q!wR43|3u;S!DrW>KbTox!T(mkwK6T+TZ6)eyMXo& zY~ANYlSr)$k1o9sBy+Z|dj3QWlijZ7+o5mKJUZMhSWv8R z5}P_GJfq-s)-!y4Ru*$61cpt1sqRN=7U`k9!H940xrKb%7|x*unuliArk&U;8~XN$ zVXsav{YZ0vAe{1Y{AUl;6&e(I&SVu6QP0~e8aDNR{boG92K&|NmgtQk{iQ-KZ z^B%;JC$q4V!qW?EgGibl)YBqmF%uR(&AmiJ&&VzmWz0vvz3+&T81x516GX#q&8^tH z7WLo;55 zofV=%qgY#rw=Oe0F@aQGnAXMeQ1Ho}EmpXA7HAO#@)Vnd&;r@iNPuPJCUM45!}Xol*`}bop~n`PyOsvJ6@QN|=Ke+5yA?`=?HcPJ zg}&0B0i$+%W9z2LTSO* zu(1c2gm7%1b$R78LC8xCve0YNJ#cc-!u5&Z_F?;Ow-1R}du;FTbzd{upe^=ZN@;ap7kY7T59W7LFtde3NPnR5HFCH`O&WHCy$vh`UhVVkv8g7q24j)eAIw(Gd`=6%E{x%JHCv+df zlY-2sKh;#E?UgIMDF3yCb`~i-trx15~}ySJi}dbiaD9aS|y|cH}Z%=I%jenPE5)4*2R*zaUh~l81~9&N}?O z%^YKGA<4}DZU{`0%=2O?zBvDcUcekCk#`EWgauVKufwye0@C-kYD@zziJeV?X_sCH z&cvvnr2iA6-)MR=TG?31@2V=m&>?UpeDKY;C+#?S+}^@eodjp_vV{eD zfnAPsQ{59QV#>w1Je)gdY%=HCuEh#%$o;5*7`h%+963T}e845v+SLhNcsm zCaQ|&!qUc&GxCPDRygBui|G&1r7w19Oem|=YCn5G-Nc&z%=QX#_&hVy{6uGdJAkaT zYf3+ZWyGUyuQVuA@O|zc#Q^6eU-4$lN4(6#%Foqz+Ze~{ zYV(3n(1<|OM$66Kd3H`IjcT)2fI@$4HvfVo|Mu(1a7_=hRG!AOmCV7|jU*X(|ZD zHpl6SRZvGglBj!&bmeuCU|XGc*xzcj?{LGLHsXDgDy2!jy8h{)9 zc`q!qnZ>_l>ZBv{=+^aEU`!Sw<;c7$KQw$$do$+WQ$LEwm6nt6y_u6lrIrHWQFWS4 zPQ7#Vepq$BuJ#7uYLGm)@##tCXX_f%t}yowweIE+rcjv+s!(yCfprEsvw;T1&zL7m zs;vQ7ze~Z?rJ-G+b+F@9i4|uQzM*`j(rNxy$vXMiLfd$vPiPddOW#jMcpR(D5|S=r zZ4FO6F~{Zmhg~dfjhKDd$n54Z3Mv`lTzvM&n*H#^Al`)2IR~k%XPZaJN3Vpah`+;*k99L1ijKLTZ zZ;hD#l=Ot3#sG~*iM(6zKLqFAqw-3O>yCTz96Iu?Davi?hVNVIC;57h_Tfg!JXd6I z=pu7WTjFPnpq4=+%4lGPjp;u9qLIx{_X9OaGB51m1&ZBU@Y)f@r;TEnne%Ng8!?vs znNwK#WuJ%d13in(lArfV+G;c| z;+op3yGje9!9cgfF3G$uv{!y$O_^wXcY!(=HP5kMZVpR}hfSNF9@vhKeQ-wSS;E&~ zpVw0>EH$^MU;ZF12@PyfT|U?^o~=Q~!eKQ3#~j^@720q|>IjXJ%u}o*kJJi_!p^Fa zwb3K&xo*5kPE5tob=7cafrXd2qP*pzHPQ($?BT+)^}-z|We77ochlHc|JDPK3rDjE z#TvJb#-v*9#O?yo6T?Ow(*r{n++tJ|9#ea+DDqZCtW$?4789(HlP_6^>2uO3_Q}tx zl!+^V3VuN zw8w>W1xqY}g^$$CxY(uBGZ&p_&dZprq>Tb9wu0&)6;nxcZw$5%G`5X29L6y$ zsF@R+*+yqe4bNFdssevo6=60^Q;xKE19qvva+Ge(lpj|IoLZYw&zceYX>LBMv}6w}^tA`h zdVhH!Arp=^(A8vc|B3I}X{o%A|F;>QIta(CbSRpVb;+z$ezBekF|kO^j{bRl8WByJYPwcBYK<8rp|5m^CLh zhA8-8`IVk4VRMkMXV_0=FAY!Wjm_3PH@~;e@YGt}J$|!Z#f>j|ch$+PFQL%htQ(yM zgxdRG$5mM3SP&I6a|3fMJ6n2sQRA|i+2#b72xmer)ax3jdBfaWxSP!{zP}9N8tBkw zQ@$5dlX_L;iIHlf}GY_y%wDYs;J=#{+izsj1rZoPd!1ui2EXev^GcVa^qK4TYe{Hi1pvW!fHn5ub;xHSg#%M= zvj5Ly2k8`m(V9PJ`1++(N`D?>;Ne}Z(^ZPfx#RH*?Z83-BT#T)HV z+K)?3O^p+f^|-fwFO8~%d>p>m-yq=+r&!?PGeB&(ZS8ZW%X_=nhb0Z}hmQ=YDG_jW zjH2kfMP7Wnu^u_M3r2L-wF>?P$_z5Cf=Zs%Lq;>8p)9$NIa?v=To{X@v5x5%#de7f zz9i`0z42!rUAOO3n#;nt>&_9={$r}<*d_F zB<6qYY#TSZo|qzQ2}aX{Nl%t{ruKjD0vATBG*Mo>3OB#ZqDIbiId-(*@ZO}XAGPc(}M-W=MWc!rRTACY`UitaV!gRl%-ko=x0H^s8l+NzS|%t-Fud^{o9 z_}(?Lb*|Ky3*)IUJ+kJyMR=mLb2ykpf2}4%UfR5$!7d1LveAH#b~v-&n5#aYfwKN6 zlunm45>{_IJ}2t zu1B!7l9ZlccVWJ@gTlVd&Z4V^)JVPgALv83t9Dl<`wm^!UenXmSaLydzUuI~(=5Sw z=e7+np>`y<-kfm8%j?2?kMGIr$~kr~JFC?04aL*4sd|pZ!=(luU}8;4LeC8YkOB}H zyjGxO`}wNk9#*)YR9=dm)+-iXcyra$zgNxRi%4McnwW5Zyn|8}cHWzV&vu)~2F|%{ z>ARE;_wKD$rb090hAol2sWmB4}E8**vFt ztu@!DfMC+*s&JR7XIP2D@HHby#TW zad>p1F8HYA*A9M7wy5wP*X#8qqOH{J+g+O@4zlDkSXWN+;R+{$zRhWSjtLV(G0om# z{1i}=P;|E9q5#sp%Gpoo5b1qRTAyD{*@3$WybRcrL}LC`S`&{^CMd(ZIz^?ci!g;H zM*1xC8H6(%SnFcAA=IGhcwz)Y>r_xvB8Bn%?KZhD)&^}b7xiL+N%W#x>h2gdIH7ZK zgg7udCRySs+9<>#7T#@LEoz$$JNFKp}R&uAP>mV>$F+rWCx9z6U3+7L(~!<6u>xPzRlK>jSRICp7^I&jpp+AbD(-1cVTtPARZ% zDIu=67xz0(C|$gjke?rB>(P&8IC6%Wc8q5UyE*cYtTnQpp#~Op&!u>0y8vKV(gt8*v0^Kd6uUjziL*tz(+g!wF&zQoR ziCno4h7dgOFzlmd>@#VPOms~}Vl{zYhsd`P1!A63ymD|Eib$BFAQNRF7_hXEmTP~L zgOG5-EwVklbNhtrZ-h!>69#cpZ}PP8W|)MEw+io~WGLeGm*dcTyG^);>cZw(Nc?8j z8W+m9$?Ih97`I;u7M;GfvonU8R)QjQk&&U{Yv%6&o=hgVq+#%ck#WRPi|TtJjFa7m zSQ|~Uf$`GB^(R!H7T`qu#Q`G;_<*ZE>?Z9JHzmL$s0@5O>_E?L6RY2)H4lN4i^m&o4nCy}+7t5=>XXKF;eoqce;%R-$B{tGD}>TGwwsv@1WD$C z_|VYBrx-~tlNTQ4j?oJ*q-whBo;~>`hcl^U^%Re+jiJiRTmoM8Dr~O+^0a77L`4@& zBkZ(v3>77~Td1i5ZO!2~^;<)t=Ay&ZhcZ*tB4X-K7t^~aidIh0g6L5;zF24#Y$}pt z1|6GfX0m$-uxe5Jx3qWSDB@WK_dyjx(_Yk~4rvLR9~pc#9T(rbC$MPxNCXdbkV;$Z zKv0lk++~3{Jzbox$D#l37{aZ>y)VNVexsyCy{p2JS1^=%>Y8tGiyf3mg5)%Eh7=9* zFOg9g0lI(TK}C=Jx&P*Foa>tM^PbwY!*Py`7yNtx$EA2pp;c1GecpFiS0&>d5pnqs&ne0E0`f+iy{w@fhRGy5de<@OoL{u z6to6#SYN_fA8l&|q|K~&lIT}&2$LO7?j`brzdlik6znu&9unRw(kHP1^;KNj(W(MW zNNHLH(}tv<4a0|Ltbq#C>D=^I4MM#r$J;qbygCLWEO@om%qTD2%qUnn16c^K zuXzrvh5p7>NToOe%<$=~rB|Q{M(n{QUD*`a>i0a08`Mb1i4%ONnhSv!&{G2&+z92D z%PnWqjRhbiBR5yM_zZ?Jn>nO|7(fFMm!{Z{n+jsI=10mG>rKO>1HhsGZV(tWD0GofF;br)nVak@^U9rc6F&eyHi=y1`aL?^`KcPPM+n{|PIm>iN#43-Z zvlgPp(4QGgwp}X%tlx7$slzGwc9y|AQW)!f_10O~h(I;`jhDc5S5x}tInjmnKn3H* zXm+k(M?>PX&qJr1khY25J%8-8d@6ar!~i|Id2WXiKNm=En7%s5)c<;^h`!0SVR$6a)-$g>$v?& z>TyRDa|kSB`eiLMd;{y4gSA!Z5g9gu!XF6%Ho&|bSzz%uPVCxjiZ{w`qsfM!{nn6b zxbvnN;j-gF5a7+6r+|aWYPAZW^=285O#*zOQ zaqkq~OVh3W&e%3*jDKv~wr$%^W^CKGIb+*)W^6k%__DrhUwf~2t>@r5+edxUS9SHM z8r64qkGg*uatJ6PuZy*|6n>^j5IDWt0RAtH$$6=#gg_lYoQ4YUM~z~DjwZi8y>jxn zmmsC!QTlkq`S5)3AjQ0n#XYUFI5o1SVDZ9I<4`C7F-M2HM$ZQ$dX^~Aq)2(GhGCc9DZO8FaEGTPj1FXp@gdA(R-33WB$8Amc*U34zu zI9uoxWuzW~G*gFC#Hm@0Vydxj9KcB+k-er9I&?dUY>TtwqJ=wRfZD>e=uzKa)OWjR zvFc*L9GXh=hk|&Y{)4#df|jc=U3xMkrLl5x(mUt37hKj#Q~g^=IWiNTAQ*1++1XsR zJiSNbVwI^TW6cmHv+Mf>II5dT1 zPbrh|Ye&IlEf#C@$^+P?P|Q$?vJ>AbRqd$0!4&C#D{LcyN(n2zOxZIz5p7;*`y z`6fE)^~=a^(A`?;GwYMZCqwL199a3GwUz7Z^3UOqwBF=P;vt-KLrFu5#Xi(jI@}mc zUTbHxLOKsHbSmJX6)Gx68l^%?(@*O9Ua zH8yx)Ip|>MmVYgTX9)2}%5z>F4!P+|oKa#g9)rww@p+{m5=?wnXXx%ukwDjT1)>%u4*#|SjB zECvOOIvJ=x?KrQZ-fO0Exx#PTM-R!H@t{pG@Ta-!1yGyF9r$Apbb!AIJJWK2heio4 zAUzNtAt^TB95@!Dhb&#FEu;6%z(vBgu9H&mgu(vzoe&(YT*d)$Cu)s{4JZ?o)Mi4Se;n zC(bf0OsEW%5*-3hgEsu!d0FGUU;~?X!^KmVxY0kY^|{IDkV#AfcZ6$#vH^Lfv(m{KRn6If2G3Sg3 zR#3%uti_sYZn`?ge{64xi&_Q!Y{_mtV7k1eY0KVABY@2)_~GNo2}p$iV3J<%ibS=#C0{QUartXbj1_xp?X^_04Ahm*Y2 z%KiGD&2J)Njcko){xtdlf631q?mY_0=3q$ggAaVEVRntkOB1OZe7>p|p@uE%@A!2+ z!X<0X0LSe_H7j*^wF>5{h0>QZ;{Eh?wF--6xa(tAXnExk?)?WF!G8> zok(a8SqnckRGl;_*6#*}VOafb6O`|8L-aPxV3S{4m+1?w88m?B8{Rl9sozQUpP3Un zR!PVGi^=18ChmRp6!k-1BF2h$A58dO`p&a!`b99&R9kKv@C!YiQ9;>ggbozq0pT;o z71Fa3Q9CO7WLoYVODZ2^_-xbcVyN3hC0-$FN#7f(q~;cHBj1Db&n~5KlaRps8{A(# zP<1Y6VX^o$?F}NX`5+kuZ5FU~zzMcF3Bx+*GQbqtU^3#H8Lesn0f!!7<=v?2GNg(I z1Yf1XoL%-gB-pG`iTP?8BB{_kr73dU{R#gabdI1B#2jEYuPuz2<+au_fU+5x!4r;75mL);gM2$7I`5$^LC+#vYXk|5fAu zHXVk#|5Imy>E|^pbZ+YzhKb}h6b1+(qH^`|4iq+VQ2rb~$r*G4$@ zbj__|6!J~jWObI#vR(kWE7<( z$N@Fhg<^qQ0!IOL(TOvVE6-fbD_+UYJNC<9V$*_0RDoPTjVRf(6bQ|QH2>gS90y&g zX^2hv1c+J1{lHlDx`|}uH4J_xd%)Nl6Fi!!<1&g|XwsN(32FyQF~&_ZH#VpuxJd08 zc0{%pz1(d}oX}vxL0pm6Rs06~4t#s!F|V4jpGW&m(x+!(1b4WBWHQdC#X*w`+s~{t zk^_XDJ|%x=%^D{ZDnrElQPvkHcL%#)KE#+~#DNN6_|x$moPy}>PC$F8sb6HCEZXZR zr?84X7hw+&qb3LuMC`r~eDS(HG>d2tiW@p=>WQf4kadu*6QpF91w3+$S%C)M1|Gu{ zeCIEK8L9s$c@UlPhd!RuaB__RMyi^+ghvm8B5;59w^bPb8QfkSYIH<4@Ihc9+L>Hh zI2_V0yY;aY<3=2E44XTIA=Nq}s#gxCZoMIg{t!E~1yZ=`8Jr!%53KIzz~*sx_>P5G z(1)mK453|obDVvtplqteRng;BL+u!xiGkAa-x!&*!=LuvGHw#A%4MU^hz0Znkr%g| zxI+!`;*&*79vtk}#Hms9aUxuDMGGQE8&PK{SR!Vva>0Vc2@(6wVYyW*n0m&@jXORA zO)t#CJdY3HE;`D+OXO>q^qk7op?tb)gbD#Im|DEZr@uD)=LW;oNulMqJDXl1uWMSfo0clIqH0U%0` zIXKKc!SGQ@vTB1xm{*jzv@}2DtiQsxic^B#hCa~ZGg2n;`vRInyQdFNNMe%nqgTyK zNN%3xDa!KeKa_@kikSg!TnaQTvef9}BPrC|Pufl@&5KzrQ4Otz#VNNM_9X za}>F|l99c479DIVoLC1gP{HP$G2|Y}(p8IMDU&l*i2*bR!n{E%xh_zPGA{EV@^sb+ z`Em38n??xEROG+?p>^!u4%G@gncb+p5d2gB7L^e` zzpRQiA}80C%w&T2?2~c*W^V`xr&tb)O}!U;r_48osj}kM4axtFnVp+w5!ODroJA!z z2peQPXR#W4hXu;p7rt39j0HBv7>P!S!lTYE6ICvp6uBFt#!O;JcrUix(?~xyxUyBpaw8%+gYu4&FQY1w9$55xZj{QP z#je(}nE|4eIZh{lRMC|X3D57PF5|0)(-75-B^cc(9J$ZTd0r*DNh%{uMXQn{afvp7 z$i>QFdU)7v3^lh$IRq2B%Dk$d2Z=$RV${$ddFRm+-CjXJ@W+0i+E5c@RP)_IrQ`vr zt8JpX>~I^!X+-X!nKf8IAz4P1e9f>&O+JAywO!%ti&!RK(g3N^oLU8?^32x4>PENJ zi z+#aboaP8^3&raYqcuwv2EW&$Qkrl9Jwzl+$t2b?lRe6i0Fr?}N@2}I9TZN_kTbQ}I z@`K~b;z1l<9~Mr7xi?di;JbjU$C3cQm;E7f{wluAe_ztmPBC!sMAvaTr#GP2L3}!Q zCkqPHB$bMzdFe>~k7iBDr$T(z1_e$arIz-6BfN_Sud$hj|S2nj|gPk!P4V~bj= z_bIJ@uMpK3a|PC^a17!wFS6MJdLFKqv?{Vgto{25wyzF05N}sx|}rK8SwLd^8e0uNm`yHgZ}9aF0@s zlZNoKI;+*0dncl7?LR?*q$9Ob&>lRI@DX*eQ~HSbIxCSfc!2oHS!)KUOHgkX*sL>4 zKQG8-0BpYm2WQWVJc!uX76g8^*=UwoG3ovQhTHITtH@?iGAWFGiY z#?B1hc8tisS7~!yi5;h`Z{%rS^LL2s*OV{QiVbx*q^bZTaZ@6>nKWzvIV7?6!q}PN zW9138%NTVRh4k>3*~S-(FqxX@igX9%fYYE@*&kKBr{9VDDVB8~H`&0e{ELvLCR50= z5)oZ?KLlma5oI4~WUuTrP&k%mb9^>DqR8ulS_w@qa=aEgy0CRP#Tm)+pu?#xw++6mPukPD9uld3>1X~jdJOHxH!*}<(orHQ$7c=#a+OEBp(8nm+db)j!CeR5Oh zN@8vVy%PnO1G$Kxs+2AzhbLlN!+S}D(mR27^KkMne_YV|hwSm>9PoC9o0whn=c8N` z0>6V9=Vo`@+-<0Q;I8V3Hqs#RP^oKI$Qq}(;|lRkzHE$03)RPHu2GLQ+EVQ+Mlf2v zh7@VAGmv{akml51KjX>L@VgfRxXpui&<+u>4bLZuu=fI6F#DY{Dg(bOMMbpG)Z^C# zH#;_QsmI?*DJY`trVmYT>D_`sM3@SHP6*M)&;Qoc7y8sK@+W(hP^yfCFmVpuUc5($ zu-Mf970yRdUQ5Iq4iVh!0?!Ttne{TblNhJ3zq|*n#zk2N>`%BjN!3alFaBE zi5hRiC`xD8{$At11 zCAqQK&9O1S-vxM`mjW03{#I<%wHa%f=A#|d)u)J0 zxfrLHsqI;_&n(5}p;k;_LdKFpHUpdEb9-xEX*@a}&cSYWEqpQN$< zc}R6*i17e_$}iX5K)y%bZY|-v$DGWXb5@EmHsdj8XSqIUb|N{j=oO)DFOE|nB#5~Q zGy@MoG~1LQB89=inHDO#WEyaqL}3(kPDJjA>6wOAL?@bJ66e|%c8k8mYh@e7`7e)!?ze=lvKaUxJ#!mw=5DB z>l2aQ_5@F^#8C;w+FZt1jo?hlwIFFygR{1r&fnA1)^{GOA^U5c$M`GnTuzd+2P$BV zk?E>bx0uk%p@Y;|6k(1ir;F43jO_e*<#!`o*Ax1J`=(ym9)`bs^l{4&WJal+J}cd& z(pEXcc@!I3ufwZTsAKkhoDHqWRE2e*ae_o;gB3h>4Psj42Dkgcz3-H_X84#MoJmB{ ztVZTSBA|;Wu({S%>({JYReM&CBDz@ZJX==LBUjRJTI(axOEspg&^&Dgyqh_x6ffq6 z3?VSRerW{d=mPhxH@iLjAYQYWN9XViF;OjBk)s(_cA+GYvX&VBn_v5Qq9=-3!ZASZ z7{st}75aJ-BdR`C{AYbmhGtEbF1Nkbp_as?JjT{Wz4vSzo59tsBQ4z}qi_`tKDJIF zsjSHLo}II=4P{Uq&2ws3(to1j$hMvZ@4B9nz+M=Pp?hk1JHxCnENQZC&Yz<}G@>Fp z8j*CLNMiZ~6;Z|wM|@6g>!mc)agYRSR?*sUtWvi~6-VcA3Lrw<+^6o^MoVfy#ilTz+TV_!a@40?_mk&f(FhNDIo@wj*p%W}t#v;J2SA2KM-NV+Z&))zRKq^cB`4+`d?wT8D4WV$ea<~5sz|9!=^G}> ztANk8PWp4y%2S zT@;n;{cUMY3W-F}6cncB+%oecUKp2ypvyZcD`+1{=Mc8ELje6N8J9_k z`Dcn!z)KjQA%K|UD#^uBd65Sl-$oIeh>A${9cH-@05EjA&(c7C0K;i*gj;M3Tx|7; zs1H^Q_?Vzj1(%C;*~N*3z=;ruX=y_JvC)9(a)a&`;d6c;(_EGi?nwPl=IB)twR7{I zQ!$a}ro+&eC3G32hUC2KN=y%#85poZuFJ+ZPw)@*e_e=-3)sYHHgAx+-c{A2F?Cr`w8l4}?C38KJFR zPQo7Xt-H4y_uq~5oQOb6VHa1yv+=efJp1u=7S{aN7^uZkT@2cO!m5}~YcE-;2qL%@ z1QB?An4i4LvRrFNh=sa0ba;fGugZ5Lu6HR%-dyp{yq_pG{V`X`4UZkGSP8Gbv;dF> zkQ&M$!Qdq@9gbiZnW$vwTA^B|pjX;$%x=T5$WnKFS8rA7pfpSOF)K`6A_G+I!sr;5 zwd$7xn*_+}8Pd8cSG3cLNA^XKE_b%!%d=btt@LL8Zw zK^u|=V{SX#ZLkYV3WP zD(ct~_!=|K-+pA{IwTgNmkE!Uk$}(>OqDyl2zm{-<&@O7ZYfrcE?1?>Vc;17zxQ_K z4{T^b3y?;$vMFR}@qB3r+3<=Dp*~8OPkS9wo}P21eB=6=p*_TN4XhSZi*M7g$6EPr zsom&8?G%?-_W6~@_7<%NgRmb|%KHg6K&_U3s@IxHf02*4(El<@&UX;F*0ZNQ4g`U8 zO>6GSvd|wq4X^Ku+Qo#tQmF#i7(u;CL)4e8r=rxKUN|fBGHvZ`dgWQBrdiv_JI?al zl37M-kBa2;0hxY}{RrF~6&bX8P~^%!T=DUcF|P4#&*_M->SdH>R-sij5A~qg4|K*8 zEv?X`=T+`COnfk#m1n;P*_+RID>VWDwb76F%RW{VoLE>DtBW;URM)0ufSf3_nI+S* zJ-r|y0}MywvV!L6{j%FBc@qQK5F=f3A(df`=`GTqm=!OOS+^y}Y(mK*%8qwCTd*oG z#7B}9i94_=g9XjsHnoh(NEsez&F)dKDw86v!6HNgOD3+Jxl{b|L#xcTxa3}|pem{D zcjjMU^N@_UyP?VsKgG#X9`WSMw@ZrDBgQK*xo_0s#*IdS;G8i$G>;EC@gFdmv3EU` z%jaZD4M@bRTDV`!8whbT=<72p14Xg9kkUR^C-F7J)I@6Ru;V7-o07=?LS&n|jvUZEH}ruiK)}19Jf|PBgiG_hrV(a%m|Z z3rh9A<(^I%{4)(1k3g(KTyei|3TAR@pcm<~;Ko-TbO<7_oSkWQJ!Z#e<%iW+b{OMk zXM2MeFXchUu@l6n@?RE?S`B_8K~CNh+tK2(a`#SYgRZ(W9n;^&m_U*>Sh%Ly|K@tM zk;M-#Onr80hw^s6C~@Q7H0BGxML-Yw-Y3IN(?woyvV$uaZfm4;`EH8Szs+bU-puN$ zgc84$kmP2`?AVA|&zW@Dn3VV%D|RwGQ_10zjSIPvu+66{@KvUW+5AR^&eb!Kb`C7V zP3vZ+NQN&V1(28m==xlTEFC}Z>5fx1m=8Becwr1}9rN!{m&-u!kXBBR{ukg})=t6m$2p^vrF#cVX z`ohob2T_l7{xVq5GIoZ8s6GizQ+MWHDib_BOnat^GP>B-d|O|W=uz#E9}@t_Z1c_h zsdmW0ZcmjTEzk}}wa2gn)RRN>w+SqBXw(Em#)Mo|MM!m{4K&The=}(IXB7rE9uq~w z72*aFkGP$G22uyX911CDmVpzElItPw^UMkX+@Wy;psgz`N$H^(AI4L9&XsRqRb94y zPdgDY?+T)cEGPNxN2^f11bD783zYNuZ!&r38td;RT1HVP58DIuWhIJPbs(B5`8U*Xu907Kif8 zD?ex+5BM5zu|5s?(i6`W3?_`b%M-^l-j_VCi=t1@lSq9mkQBNO>3CL$LXk_>Sn*PK z+Yb9;@X665dg$6eY({K7k)Y(PUglE7wF`C_X2Km=szGXY%5JoGQOf-ta37w_BAHZ2 zFvwhpLk7}5+zVTcIz%*2f~2AU2hIRn0Jy#kJ` zf5ub16A`XX4WdAfgwr^RUkJ$8aK12U8mnA_PV+#zRaA)_BS9OV1|g{KIuo_NnT(u| zBk1B)Dv=BM(;Sicn_XbG%W&_0I};g)NfwK_dZhU22`OX6N9SBY$zFPbLfE`xTdpFn zUD1_@(wQMcRlP&}>k@;7Lw44Ex- z>Ky{#|G*kzdGmZri|7d%2GupR-VpupIlOs3! zX&@G+9oJ17-^H1YMyd?LE$Mh=;AemgwNrR;d^aNFLc{UiU)>OJ^o%}Iui8FgP?7=YN zMtyvk`x)XRqvq(FHY+E}!q4k|oXEB2l{eC9+450^s3<*?q1llSO_(W#Yh;i- zM|I?TN`w6LbYYeh-Y+@v7x!|KQLiX=GdKO@{x$n|cjjf;_58Fm6M=uF+V9CYtWtjc zrARN6<1MJ9z}+ezln#lxzBJmuaVz8r(O|4{nEd$`S}Hf5&aFg)V~(KYZ+Y}+8yn=R z=t3|Jl4mZ4_z~()q|>Y8R9M1=+yUs`-4XMgthh=++cgP=Jn6ALvNw=Gb%o_~hjVB$ zh&%5^GL%Jnr(=C&`RCXlwFg;@^-?%^6Nl=NtLIZ$A!M8U)^KX-C8v35tCG|HDls8p z)!%#6kLCSWD{AUsoh#VXtZl?j_*MU=6{6wK729~0c5QLYXt_d_pkiO%y6PuxuRyuo zEgQlILi@Y}65DmA zFmWuxJNloz0<#D8lwgR2R-iL%$A6;`*(&8Rf9Z*o;Z9+%A_;EV7;i|3jn zLnp#*Qi)<+H9-UYaL3?>#B2i!ta@r|NP{KnjoWWlx!(N^6kbJE?j|*j(>1D?aK*BM zbS~Z+xx9jcEnyWMY`Z76CNC+vk`GSHkZ*lL8h^g^S4z07q?r&GzZPm%mY0v488bg` zv7bc7S3a{&GHegU(HTVPR0qM16)&KwO2ZJRja&uFD#d)%(i_BNZ6zTcXUb{7=G5!E z=s?c?N+**fAs+7N@S-Wtx<17LvBbHe-)J2Gis`gCmJ9O5W^~ zI_5=D`ofk}TH4Q2*7N5Z{6baE8HUFLrR-1iwB`H!T83K_9sJ!n2#)vy!7i^D-*J-X z9#2pGZ7QE=lM zImGI;D+Q6?!$67a*zXJroWZ>XaMX&JPW3!kCNG zNz8m5_Jt*tw&_(J+}t$UwEpRQ3=X3osVh)}+lNDfSO4IV475+C1v&JW1^U0D}bVOw8UbFXN(sPY4WoQTx+PHb`;cU z2FYua<^$$-RJ=j*BjSTrC$u{n&*I~|_RxCs#pgqPyfIW12km*z8zB=Hm?)}GcUUsr zB3&k+gOKI)Ix(RICCt(EC6fQ-|6+dPk3}o}-oO9;6QKMX_bxo=u~vm=e6R+w!kh+- zZ}F8=b&HY0kz+-^wRFNOFx5LeR!ug|4~k){T+@Hc(m>Hz0mB<6V)n_hWqu*$boG?#=`SCS{_!GHfOg7Cvs${ z8mPrx7JrbR0{QfzcrsKAnb)q#>A(Q3slXJ3iPmH7|_^w*@w4 zxuHUX%+K@pQ*`Zu>5Zx%7p?p|ClVvQrQyFk9pP_0OjB68DWR_%;)Os(K|YZ%M#)V< zZEJ|!7#JyUOw8`)pY5=|?%eoTg)G*_R^g8)5Ud^V@zTddOBgB@zsWV)KvjOP*<(^bM+6^^Ay162EYAK3PX+Y-`e}b`q40;hk zrw_dUAgyA<|6+)~yCNE3=XbdfG{+#$v2;KJ>jlG8z$82av=HJi4;yf2wi*M&+7GEu zGWLp@|2jAv&G2V6sAZSl#vc<07PpUeM|TL+;H0b8=#rQa9go}00!6kgY=~z`Y?W#6 z>>9W2_$7r>TIXr?d&@PL0i;5?7|Cq|Z97w5uHQKLfyn3wEPQ9o#hwTs!PZG}w#dQ9 z(7c)nl3PpM5O!nv6}KrE7DEtI$r5N%a@jB3TNg7J3wm-h?#MMk>)(^MbK^u;)`W1T zVGWgi3gZ7?BwECCk@E9-+ITpgA;J0R7s=c3cn-&W=h1O*RK3BWwdeWGzMBP~{^klF& zDz`VS&@W;c!_CYi3bvgj=QnnuV{zgK(0T3?D8*xjvuDvih4AA&zO8@L8gij^Xis!7(HrO`OQw})#6u&L5VZ4rT7m zR^Fu;OGdPOKr4%Nbr)|aZ8B)dW=^3% zU=L6WHMH^Ls9=-a-K3iWE+P?_UNQSM@(O~z2MYx!+g((^e;sh@>^?k;km1~N-uEJ0 zKo)9Rjwpw9%=~$R8uPLdCy?p4D-FHs!weKLko0dkBk|o~bYA%1*4&~&Q8p*ZDOoTj zX;wk4Jot{(8{#2}k&#a+ZuM!7lq0`=S%Zd66jjYz$MXu8629Be0LKCJVkvD2nWyy0 zLN0Wk7mfzsT55-m;||(lNmuRTK8l^qMbNwztNWbz3fQIrJ82fPcl-s@LgO#HQ~)ym zNVZZVl{NPjh_Y~aYF~Z-bw#X2TXAE~*3--GTF}afFh!SQ5q%Ua+3^Yn^?Hj@ORQ!g z!a(VDpZk68QRzNo>=8zkzB}5sLgmnfL`nv)Wrz8b><(c)I;>d8RzBZSOnsFtb1fxI zv1$0!wW=2h8^>nCk9{$`Ot%ZwZ0$0yLKbze%5#Y_3kpn>}$ z6%0*rb)}`L@}a-1o*rG6+)>S$pr=zNYne30aF-vZiR)jq5aE*(hYfEhvnnuGj2t`+ z9VE2Qrt1Dk6kuR~hRt)bxBxt8$_} zdEbG!FFAU-+7P&cl1ccGk)k90^p>M`d5iOMel$5U5x$C- zK}~0ple*o-_catmWTkl(ZR?*LqR#FSW(gK9fA#LvICJ?#Gy?eM=P;>uE-v7I`$8D2`D@ULl4n zGvJI!ru?*7faq&n;@nV$qD93~21oDdZ^`Et6TgbBy)C)Wl^Eqs$)1-=q3D_r-BeeJBLKas!WcWTSK>T-kkheZ-HAevkwlH0F(YKxeBM=3erR4fSP9EB;4 z37?M(7xA6zTG`wfzW`|~>kla-CYmjt+=a+6u_$muX(_P-a)52yGBZA8TGVo@*TgUW zRb}eAoSbSXTSgrudN4r>!lTua6Ni-VIUXQglkO91T7$kXc!_fZMn%n{>>0> zVca@a4*A^zQpy?2WBhVd(r?6~yYTM}zuESrWP{F`?AptHbbdVN8B zOsG{nA9zh&80=M{6c$QNTpH?lWBY@POI&n&534i|_rU(Hgph$tTpNt+`PdDg9%s4t z^%9t4hbEK!%l9gU^L*xAA04dFeO<^m?!NUj{3PxtbHQ#AwIT`e0Vmxx^3OIHizk80 z2nmKF6b-K*S`u7bC z8<)q?`>ue>k_&wy5dZe?q^%tO_HUBODOBMG&iferrp`8W10BjsEDLXs z{s!2{z(=*s;PDrc6#Zr1djIQ30yNVogx0_W^njo==QMO7ZjMO2P;&S;euu0vmukcN zG=CCpdX*(gJk;^0M&P_5>HUvR^BfQdrpQ81w6WU~zmkr^57e@PaxTL9H{(q5lvvbX ztYV|83H(WvxTNN;E%OY%uM#d(xBZ6qE9upp#~uw+C_$~`-lkMzHPAy9pa!F==nizK z_2YKBcD|t6Tbib$hKvbv^SnzASIlG*Mq+A6^3p~LUaszHG2&9T=DfHlqy%oBi8mZ! z9h5*GrEHNE5=rO?r!q0etjmdZpE)9@v)S7RFK4Nk8A6_k)&o(K8}0<|7-@2^scBEj zbJy=lPYWVCE*|4 z^s)~&a(xke&o_7ZyjL`7J2A2BbbDH)ZTex>dp`TcdfwkNS7tsVT$XF?KF5esX-KDb zuEYPY;oK8K&&TC?>et)fov*XhuTMVRTEExa%g5tdJKy`a3A=6*X&-|#Yb7VsC~tPYpR;9m`~;n;5Z^d(gra`n`ah$YNOr0*1^;}%`ey5Ewv9wDGCa?17s>+ zmqKkjlXG#ixcJD_<`kT5-Im#Oa@JePa)FJ8z2Lcnh~>-*O)B&PCt+9zVL> z&`x!u`?lwh*Hpcak?XJB)>^*z^XspVj}X86!!IE2*K?`=bqrSSd$kjiqz5h3q#BVCgPv^hYC@<&lStchDPa?ibN4(39gdQq zM!H@M8!!LL9jx4AHqqI=oP|Unl?6b}e-8F^WxKnwAm)t)m)_?kjMcCsytA ztgft1Fn5V7VILJOAMfuPur3bE(TLtrM)#(Xlm_K|8A)_i(2FcFnPsTM`G&yjOkLK) zx<64HBl#vyWhK4tRw!XHNt9TVDq_cG=fl&+e@{E^r#nR;ptMY3;XPZCZA6iQWfJU$ zn*qx_f*U%C!X3(lob=#B;j1S_)=m-62M?F;r-xq{l?84G}s~K14AJkqs zZsN%sJv@@4_Q8ajdFy!x zqP8cl_S2mMOi>)b7(<%&B@5|K+N%dy5afu{Hc7Wpg6$H@Xb#G`4$`+34KvXz0maSM zjSKM?gwa7#5~O6QzDj_vCQ2>9$+`$io%lgOq73scHJ?y|;bdNt!ZUqy%!5NiyqL@E z*jg3`P5RnZ>7}$cf;w5c!Xah$F(WT|`MtKR&s8Jd+(ALH%HOPy?f8^CqUMeKrBgLh zh4kp9(zrJ6uc+MHPmq{A4c>o<-oK_-GW{nDkwrnm_8a5ed5(4;@MDj*XGB2m@~aka z9!g)|TqjC@!r9+$) z@&Ey>&~uic*o_#tcaC$r#sU8K#OIOk_%Gz}cjChwOnYCl%}f+eeA!jDj&x0X^Gg_u*#IecN502MfR3sS5Z_5hUj zyv+foH#i$-5Y=>qOxV73lt?02Ng433YR6~A&1)W9yMnMJ=bM_> z!-t6(noe1s7~%G=*9a?z5>9Agdr`}~h;IqjFe+5E1j@n#V%7YkX4~_X&0NeG%l`r; ze4n`(SLkcGZR8vzG(z!zLrz)0^Yz~`5Wjz8{rBiFF}BLn%hxdjA%~!oK_8idLsN!m zry#1*Vn|a%OajlP*h3TLfd9z#fo=ZZWAe?d|92N<;$ZxbtMVvH*@As@OJ^wC_=|63 z9COOIueSWOGAETQpy@zb7?M(9%Srjp62h3IeIFfl_7v{AtS!xs2(M^aOJ39+_1Z&L z9p^F(>*a9A=ti5A)$>)i3WaWiDNqo8(EJGi+wI2vy2U8#Td50n9Ply*)|Xtgo0SiIK>>I|&sCYm3-R%76*0_+_ zj3Bu_$&p0bu|4r_&V~RC!-GR@ik$Ux8l`Id4H(xr5J=a@c0%-w*B|OA?Trg*@|!t} zQe2ekZhXU!Kt5}!Ozjb>P!ZI!P6|lh6#*0nZ}p*P<3eG#CZJ_vlqGXgL|Ekh=}Y=M z_hFB3;(F83gRps_F#ci;5)Vbg&|wx@UFmz(R6TAE0-2XxQ*6@YWLXf}qN`_F%Zw4; zqFc`2w|5}gANg4SFrfbyhR*Ok^#6StiNsF8ffB+BT`TV*-(m5Vhc4x;e%7ATX9x(s z2z-C>p@*!xzhj*px|u5&VEbfUsx(Tb{@L!SsEY8t>Av$0P2PfDVK7)j8c)bzI&FM3 zg|QW9w?!tf$~sxOI?$CH9HFJuq!QA%+{WOH`WCidMYnAPjxSEC+O12a+fPu5KJ_2& z<=-;OS^tyk{{P@y+01#UmauPJiS954v{E%Tsdi;l;{98HsKj^;ywMeM+@ z>41I^$&5+s0)o%cQ^Hb4#FCm*N%B?&G`F)c?Z)4o*%FLe&ms|1sMF{D>5t#ryeg-- zJW^1KWkp`FyjnovviHx{tkQ!;TRHluNWEEIJst15GBgmz%EiUe7TTd@3rA6Kq1#bp4E@cxqX#m zyh=9N{h$f0B~_~UNlsLO4gEy?TCXeAjy#CF3V6^*qWanx_I7J zR?+5Sn!I2!F+SvXZ?49a$kWeqMt&o6@{-HlRDPnBR|}Km!{5xFEg{d~Q)?JdnC0q6 zl!f_+7fURilGwq}7W(2D>xXH#THEkG*cK3*$3NWVzm-M|tW5v0Qpm({!G9}BA-CLL z7?1>K`!gPj&X(6bs*cEcfqf9;aTG32kfwj~2s^iXBWdtVMq2Z#0SXc1M2q3MMc*w{N&u!nQN-e3dwa|7l~Iy64mR43oucT z0cNn5b+C0EnR2*5`^_aKdKr|bnX61c(^_xDGX;&qG{>JE&QQ&~zJBnXvorm}z5ZK~ z#rB_zVk3Ra_p|jI46Q`Z%%(`s#;Qoq!17-!2{2SZ+HY<8K3w_<%ra^S>PUS7V*zSn zC8aWWM3{mB#2Wa%U!x^JKhBRa8ULX>|5^z#v;RlvX%sjTKm;Hsj?p{?offX^C*q&K zPNBzv0z-rdIB6W@hvg7csJ8D$Rho9M(=q$p`to0R24@U(N%MdDx=bw?4GYQ0j7FH@0M&l0oo=y;F8>kRl!v58k+E{TynZ{=3 zLa*fJC>B%8niv~`p@R76oaz-(#;)W>M7HnQ5c3fX@nNqo_ZpfY8TRr@eG0-s_XpphWfeHJ$-v@GF^Xk zHvJQeXlxee-CrfN$$|kxq&Ml_E?y_ya#-$`SdOlsNJ3-!P?qiJGU`p-xpA^Udtbf- zS2PFt3HReUIIlQamp5FEw!7q(u0(T=XpD=E%p;hPC?fdW9wH_7dyUI(OU%fNrZBQ8 zKsB;_QSd+XiF7smFKUE2q~>FabL~1uo)P$eC^h{{h(vY3_0mHMdzI*e z`jVOEQY1I};Sfk}+RL?jwQ(XdDs3Btgo5V4Qimwrf~Obiv$TmSMrU6X*4gU01RQxP zRX#pL0OVX<9eAcDu>L{bGXGm)!bJZ+)PDk3!hbC{UfI7eMx$O55AKc0lb=5?c^Su4 z{UySGP|&%gH;y%Ne5gq}+7d2>?`YJ1U(q9Y$D&GE-HYFFRs3O>QNVmI^)SV|l>l5?-R zc*@b*VoV_-82?s&kyW_3oMr01kc8qvZrN48^5M#;KgG^uzwo^lT^^6BF(>pLRUal#@vTZ;%$JTg?P^n>NHqo!M<9!;8rVH7Qu$zgXN z^^MMW@JK#({{XVScjEeo3Gr`L6x06@FD!~uj^DYm(W7J^FrC)pljGcAdDT-LL{3#l z!!Jlnr!g<(yGXiGJaC})^O>|>kT>=+V^VSG8NCs8hNf0*2C0<>8dL#==Y^3Rjc9RZ z@r2XeAoc&S_D(^f1Wm%|*k^3pwr$(CZJe=f+dO02wr$&o(a$zxUBP7OS!V~vpNJYy0Mu(U9q&j*k zN@jNcOG@SR=H*z9Y*{!4fr78zwhI1h^NCB0#1k%F@7Tqr8nzv$mM~&QLW%*uMOr7* z*n6;<+!&OeCJ1`0?ziOJ(Eg4st$t7&bVq4`x)dmr!%`k(+8ASGJmCJ)FC88nGJq(b z>5~juks7@C`1atiYe++>{s0W0{vrLpO#Hv)Fj@cmuZD?DmOKH9Gy&K!Nj>RLO#~g6f=w#~ZA5QlXkDalY6xbm@tdip zeICH^6*2z*0?YrFv0`NY?~Ijh)u6=HUw( zg+|0CV4Z)s~e9k8bSz0u2;Tv8rWVFgzUxGdkQ*d*mzb54-( zV%6Fh1E!fntt3$-C}*D@_NYf3>gK0pw4o!9}&co5Esc|9%b` zh^KiCXfQT#$0UiOQ|(~G`)l$WKkuB+CZvX6MuCm6JQtg!740 zt4IM;>g64+#qRt4WtAGS6|HjU>MP)3ke5wcxK13kWe9MAGems+j3#Ulx> zMPkC@&AqEq^~}e0Y5(+%!C)D;O1wbfv)K1qn#cip{8(?nr7~xJue9`3+;tOA)Q}0b zm}Z)qUU(ghIO;ROP8Is!2q%6tTai z){KF3y#%4NAv6!B!sdV`dB^97qkgF6%0Z(y+rB&k=x6{-oRWxlhBA>LR2h-z8pNat zrJ}s07GnwI$M=Y%2~;o_Cn#GaKhXMup3;eE7aEwTb?SN`YlHEeEO#0_rKF5mdO#Ws z7=Y){$Xj=_p!~%VX%c!>7R3u;BWQJX5iUiEsg#<4`i>a!N@-Fg$Dp3BjnCzArIY<7 zdbz};z!c!>UZ@NLw0@EVtdNI3B0xJROCS_F0L-%Zd=K!*?Quxn&Vb4gBf@7$%DjCd z4+_CyH0uB?@kqvxoXR+H@pT>?ASh!Xe{=wlJ2_O&Ny>0Qr^J%6EmzdD$lWbrnRcoa zhvMQA;giKSrQv5m<^BEA5Xs8UK;9--Y7H?#*df&lNmoyR$`q9-aYrl2!hSFLxwY?* z77w{ECfO<_QAU%y2h*{yyeW_U*!V}03+zzsdOHR6)$C&-XRz@8vD-g_cxVHxC5qu; z)K4ONbi%5{#*2kj>_gtC#jgKeWrRWAw*piU#lk05{nAhRo`?}e6n_9)%-6Q-cJLCqUs>u)8Nk6 zi~u-Up3?sOf(F5m1Q+Xi z&)AK+t8gq}E;&UoA55;)iIQ9#^Us0mJ=f9A-2+%@0nR-RJV3d&UzH~T9mMU47@X?k z1$}~a1jHR$nwu-eRkB-@pjFWLpAYB6LTF1y4_wL$4-pC|c?57D6u9mo6rL8f4}i*I zxCQ0&e<|0k!S###@&7|Z0!!|uiT|P;!TIX3iWn{$|I_a{M+j1+zg?MJ4jF1M7FP`a z(~3}l$?!WQ%Vzw@1LpHDx#i_>XTW2KV&#UgGz!3dZlxruMFT|tGGHxox}-N+-K zEdqFG0j|~x;dppyE?55p*(E}OBx~P)AbW;TSVH#F23V>SgBah3eEttYc)*}gkuDkV znv7!MRVE;xf7hPb@9L7iiq`{JYWQ7`vUMZgi@)7yvE^z#jr3RCe<#7OG>bi9 zxm-H{D)4+pCs)rl`43q2p&?nsdfyf)D@d*sr$eXSwTaGY+c*Ql$l3)oBiHJucokdR6Jg<8nrZLri@{_vZ_d7r=4?-^ zrZauIEzb(7wdFD=x7O4|)(U8pJ3sg27Y<}UW_K~JD%JUEk^H#}$74VEV&bY^4j{yX zvEY2M3_P#)A)t~M^hBdH6_{|tg+YZLdt%ucq=49nOGUw<915!u z_K0;^mwYyu(6}p};qPoza>qB5sS||y5e#;IxC$1qkh`7ccC?|Fk+cL7WKh|##}!aM zQHx_M2?4>*nm97#U-pcX(ymKAe6yYdH*G#2dZMGyM2R>n*YN#4@fGRMq(lcIoU9}$so)7vs z$>2l6qXgts1O90|(|GX!tc+;HqZH>7lz%v{8ME5u>uS`1nfKUkRu#~sArRyb?Wodj z3r+IIXImacWOdqCsdJi{(~r$GY|01kxEynnWLpMbnLTD|jcSC#hgkogg+C(8S_8x&|m#hMX zrO~O1{GbBlOEFHU)}e}O_`96hhTMrG9X$n7n7 z7<>g}D*FxG(YV)CJaZqwpRMu-m0(`E7`+p#D9mXBOGHus-V~E1)JpGFA(L`cTa%5@ z3NYXs@7OiV#E$C^A0ZBYJ6zyMP(dcd^&U+{D?J}S{ntvHA1Z-GkF(9N`~ZRYk}dbP z&pNClTB*S238gEgKK3CtNT+7E{ls4ibF9`@S6fs7J-x%hUYFgr* zDi|_m)G-aXdAKIb@CA|cxphIIfa2ustX-a2*OwQTdMu-u?!oioT3PvJhzYN_^#U?% zfpIkAlq*AcBHOKORGu^K#M@;J2^CCd&^p`}`0BSc&~4pp73zIeJHgm02>2d>w1bFM zkywi*jAGjPh^g8UR~fW$URD*mYC7P}-W8oJU$q?P8$9i=xohvNAe!fVDD`&*=p-A^xTpj5w>hUY57! z9f%SEqe?`fm&+`^WL;66)8?(O|LmjSv$gy@p(bKE^C`oYo3ja)Q7q5-v}g6I<@yu$ zG3ZJ3V#D}4iV-MFy-BNfxC?dxz%9bC&Gr-mY2EN+F?^lO8PvtHA0|8lXC11P;V*6h z^H6aAKj2haX3cSTX_vmxtM=VOLjY3LsgnLMPwH~OaeJB47|lKE!jhMz^V!+#aTYqb zj!oIH(|U`B4#P;R?mA7~j}q98vC2BvmqXlN^Rm<(nZFxE{%@4q2r_%Cr*7D+t+FoW zoV0>?zkg2se$5VHC^?&}J@U~IgUr;l8Sbf_m)2-HyBHL>It3=}|QgL5hXNZ`1^9bp?KbgvLANs%o-X5R8RPHpuPu4dwQU znDRJ7GM*aUR%6Y#!`3I_fK)AQ*!Hu!nrP!p1O1GxR$V1*nA+i(fbNM33tt*P5})t{ z;(glNcSz#8s(sOO6+xahKtsyF!{uY#F`Sk-cgZ-UuNU<2k(ZdaF0g^^!!+KP){KY4 zT%`;NZ{cG3kEzp9f8FvQ}%H(`)YiFRf%+jp%5$A_Jro|$V!;X4dBd2UYOIq!~LZ@`46Gqv!JBELSEI0`4 zxu<-SSc5OZ^IB{Es`L;V2G2gf9#I%VD8<1umV*{qf(S8QBV@h&VDmRotHl)_`K9vcD4x0o3-|Hs-Pq^*(lB?#!Nh0 zaH;DSNNDg+tXQS1e&N`YsQo@%RfU~~dEm=FKb>szTPPt9+6gFOP+t_Ox!=VU@(G=W z0jR%EwFN++KJsAK3liS;B1%;;zYzHDe6CGF5HKkP&*$ItX3?JnH;J1s*IrOVHH6jPz*+Ce zMogpSZROC=DTi}YIn~VZDg5ka=J3E+%HPzq;q(P+O|IRpe}f|etBHqof4Zia66vQ1 zr@?PpFGKKvA3!Xf?BuP;##Dt|IoWMoH3q5KjJ&s z5o5sY?WH%8xDzX(bO#Dtoa0R1C1U}~aElYP|BIV55eo5YHt2bKt*=`&t&Q_?t%LiK z3PTqc2SKOf+u;>vR{SgD=E;=#&o}ZkhqJ|<*24}6LAGzs4H^yT19SX1fRufAz~l&z zXbk7R{=sFXyAst)@&Z&yT?8tV18b$1Ww1ZNQf^Q3ohE3Hd0=n3*1wX!%#gi^23drb zhE~JD<3`13(6?;2Ne^q@175G7kx`B*Czjw#( zzWZ+T0Sm(~4xKlG5jRD0I2bHczORa67mW6a(;E|%&j4=&Em^k)qX1=j>@Nu=S!3IuAMn%MKy!Bo`QUkL#Kh2m;) zO?%h8^WNvL#KO5-1?>y1lgJE@k_6uf7;DoJ_`bleD(^8`F>eI;W6S;voT@C;cUzUz%LWCx%3gMOGG_-{SbJ?jL3YKhH|&X?@vGtuQ7&fpabdDNPSMS~ zxrtz$v21@C=pF*CvZZ=eHsGNK#bl5#0aaHA7}*VMy@^vOy-`a;8m*drd+H@gAdd$+ zB?4{Yv^=!140%7{lw@{0e^DUP%lk$LVsq(!mQfY@c3eA;EC|U+8;5(etKRB~d@$a1 zy#$r!Qp@|(bF!-J)+AN-*1S4M7Sqz* zvdcU4Psg>pYo7i|9mlmtd}tz(97!KFI(M{V{@-RPd8eU3afKN&c3Kl+qZ8mAv`Wj&w(1c&doS7@-2<{v zuqt=(z@7O*Jf}$|xhJ~$7>PIbezTi;&m&fX9`44_b^sinw@z!oE%fgE(vPWziD)Qoh@S%& zzYr3>PP#iM0#mYfyFb1Yb2PG>@`9v5`-|iMf&_$IrR&LZ0=2d%aol5YAsu;Yg(wSy z$be`32@6j+Uh76$LTv;lq&?q|q*=odpXLf{=VF=jA8>B5(d0uNBHhBGfyYB z?N0@h>F)M<@STD;d;gz0W!C?#PML{?<-gehtWRl5d2O(wZoR0vOZenYA;NXnJ6&>L z4q8~gS(&X*0+r}PvWQr|+Mj>FbGR!YjuGol4;KNzgV`j`^bgv~}R(a)r~A_SrZK%0f&H zuur|nS>FxTCw4?vp_(z9_FZ@i6zqDqSo-QNMpsZWe4ZL#c-kJ8c%Vjq3j}6*E|9Mf zR3vwCyv%GxpqNGnmV!plMSl>xD~hzT8$rTNM;6!#=Yw;1U~qa}vCeNTaxtZWswHo4 z&e+vm1UjL+rUrXR$|i8bIoP?mb$cSJ5NPozA(xHoQmwJQM;AO^!MQY`WLIqY=``#* z$RG5ns#t9-^R{GfHoJm~iO+_GaxY)dqi3~q46gUE#jc@ACUO(h#EJskpqDX87REU_ zI*Q)YM}`eBW$&k#5^*Oo!(q6%e`7(2vYRy^A$Hmt7aKQ(9rR|uRwK(0RWxmmS8z2! zpsupV0wBPOpuS_na)n*Y`hKf!HC#E0F90ksKTV@g6G{ZwgB1>_G;qU09*k6ecPf}{ zEq6pyQj;^cY7I*08&qf-pqjw`0NA&D5kqr0_^rS_2W3AA_t|`18t5(uC%C>T*z*D# zr}S&xBg9aX{Iho)EI?(Le#Wn72m>jBH#>tEv<4xBEHuANf}H6OYCUN66Kbmch+d=} zZrE*NU8Ppn0zdS)&G+Yk+Gq>15)s%EUwK)>*3@ekGf^3A?s(2IoHtD$RZNAVV z!QBFYrsDKf=}+Tb|Es6p(bb&G{)e~!FXa^q81$vFVGQ-3h0(paC0ADU&BCsWY^gm} zVo~uyt<2KH`|WE zO^qY}no)&m! zkFKuoBTJ`7MbYG9Vx{vVliZG4FRv!-YU<6`O%>Z0d#yRUPFAa{J(YL4ktTxmJi8cV z{%!b!SL{!*jTLRtY?clq8V{zY(o$!Gvgxh0@@=NjvQ@P*;(;id&UF#mT@PZwPMgsZ zkrvE>2mAR$#2B|J42CHJJgLAL4x>NLjgtr!ZYuco8aGc|^qZDllsTC9H4PliXN7GX zG^n@&m(4|Ktp>%q4?BvWilLX!7UIdFx1pcNRcD?@$nswdiytIko1cLAuz+b1aOwCvX|G`YHomFI#TvO>{lHu}b(tr8w z7%zgl3-fSeDH+8#sQN67R?F1usMQ>>U)qCb%+jBuHf<3^Gcw)TotyUHr^KHHFnc`+ zZB^-2V+iU++b**unJX>XaqHERx3)55E-fbFB!ZcRg)SxzFLl7Brm7lg6a0RpwK6!_ zRsQEd!cX|sCILFu3F;mFL!lMln&T*gtdQDk{2O%?X53@P>?R_)^lgbXI^?+%QIqfX zU0Eh2QI3uJYPaZyP{D>X(NO%noXM1rK?5jC=S9)Y<&l|Pe1k}HVvkHjc420MaCn*U z*c4>8@hy7l(#_+PWi6v+@WU<%wz}AIBzxswcM>Qr6j`_J08-AOa&1P3eI67^O8zbT z3b`&@OIm=eUlYkd_}}vw0tPOob7fa+)Cl$5P){{asLCYL_h=UtA>_GQEK<&p?zDJG zz0ouj{z*8YIHuJ^MFQ; z##-5tt|uKj<-leC-l7mD2Aru0A@=?$CRirT6IhUXq{vAz-&R={^e<3|8#$W7B#f25 zoE!-mITmokZto>UM(-7DQgJZ%r0CZUfB8)UBwD#G!bq3JROmA2Z4A9^7Rge1fYp-2 z;Q}Pc4!RHW-?a~c`6#@r-C#m0Ceg|W239tmD@=X%El@v7%A5eyV<{2{PlFK%vg!(C z7{A-b15Fqzy{&5pHJSf$I!~l*vr2lIJGy^fz}V9mFYsxNy~preh{W)Z`%>2=>JKWP z`Iu3w@LHCRVSlKpD>i9yk&QB`Wp@WI9L8C4sfq%~X*vV&futI~yT#KhzMrCvk8rm5 z6xgVv)yzEEVa{Vs{FZlKW~cR$b*+`~UE<@-?KjVq6A_3k#5^}C+?wV7zeXZsDUHrPydF}-YSCDvazB_2KBvsi>(DUxj1+T?R_E10^bzkmG zrexj(AV*e5^~2E2Jk>u+_TWZp>1?C7#5zPG9=#sDPB_eNOjix73j5CuN;a|AVj2S0 z;RuX_Jv_U1JHtF|ZbguLJxwKpJK}bL5(Vt?Tt_cMh}UUfZzI*fbh4S#U1R4ua-lE^ zgaJDU`Mv+Td%7tlIfzxs*0A!>#o%h8bb0Qrg?arJ$eK=iZz9xgcKuAA-C#W2e!j0a zIO2dmJmdysd_c{qf-3Ctbg2gW6a~SSq9sb2;nR5=P`@y&(iKQu>7KA4?_hl;*USNg zRB(L$^>J8x`{m{PVC0dUzyaf6yTI%!Y{zD)$%X@J^ z>I-}p3)5e}=d@-0u-I#K5kuLZ#5F0RsZv3yb>#16Fmn*6MXGf1N4QT=WJA~*AcmhE4L9DRY*<}%!yYkHf=8ddcn{S(@Wigx97qG|-eD2>Q zESJ&p@^6QnOJLk=)Soz^I0h=k_W(1nPR@2bTF-ietR7=#FvUj zJlFJc?5sZ&AMQ@t1AD!~&H5Bhua7{suL>Gz#>|t5uG|Z))KM<2-k@Tp4H(SYT^ZMZVY+*5rze?=f4AioTU$>8$_cZ+FJ(DLil)%LJq8h;o&R)0c-1RRAI4(C0bfd z{Vw#8y&c+D1;rc1$Jl2eDiZ2b6%9-)sr}vQzuIg&#*e<>yWUqTTFf>f;lgbpju)(2 zFC-QksdBVSyWbz&D`mCr$qPMr)n2NLBiko1d!QP)+DbvVq_Y7tB zIh$siH_XKSK1X@*wj%!)Cgy(j@TV?WC7=Jw6RiV^5qX5Aa#OEH^s7mq?w!~sH%l^Zpz2G#v>i7E>3%_Dgl~IDa z!!t^ya2+74pJ?ISN-h6@$uQG^is|i+DZzrjnV{MFhqQVh;HtC)_k50}|G%!uDySUE zbZEe(X|p~M-i2vXK?vqKS>S|mz=ZTTT?+oirWEu+#T)GmX$$^o$#{#v(rJ!e3_x=6 zM?-B=ZZ~rSAbbLbkRuR{KwZBR5(Enpfnj~(s0$Ra?C`kZL6Gw<$TVZ`b3ZfUC65~b z|Kq$Qkf6DM16$Lg8Dcj~8V~`2$VopSen9s;ekjZ_KOl!?1pH`& zI&(k%929hED+ALMPCz?pQzJ6iOJY^2$%ymWQ!Xx^{+&}s; zkmxH8)E$thaYYs&jrLF`&?Qo4%$|F{!R?c1z*VNPJR_Rn@hXJ0=w=&8O!dP-hKoz% zQ3d4w1PvlybU9!@02FUS?HVW)k7Sq;XU>C5(a>wc!?QpmBnSuwROfU4+3RlvK(Iko z9^I91=7b0FuWj@LB%Y*phZq$g?xPEL2}wiH6ReH1kJjnsKph7M;tv_h0D{6thKMlA z2SmsyVfmvh#%M!;;TMpO0oQA8KZD>$(wn=FI#Er`(%87Ed<1fZAqy{hhmhw}Ql75{ z?<3>mA?B5shrcNuAj3rQBn{x3>9J;Nmt=g^ zoR(VkNw0@u_59Giog8_9vT?aGVzQt*@keX1Qf02zW^Hm}Dh9=h-=s%|xl`X4SRHZmm=IAGE7yGY<{hqLvDsdI#mY(zDgtV%2t%^^4S$ zYpIMzeWK@1ZQ{Al*!nrJ)x?Xr(y%NW3jE1a#de;j4vD!+GYysRHX2p4^*GQ#Kzsd` zio5FNDniE$Zf)pqs`|-pgCBjlRo}WF)1CU8Ri)=B9OSO#|J6)BBiu9Wm>mCh1num4@0Rg~vXxGVO>ppt4X5-Q-!ym(& z)rjh~kR|Jhzovhz)?%*Kyq=*ydZ$s)$0AT-eEBY*ZIYh*hJp8aEO7^DFRLd8Mp&TSbVp(Pp?&|Eeg!#s4NX z7m8hKBt%&{DcV$QX&^tlH2DuED(k|JE3*eu|9cT0uAx+gz7$)&u45yN-YC(%Ji)IQ zjO8+Xj#!%72PwcM!Mnwruhmo7TWi-wt>U*S$WMI}`I;!%m`BiFny}QZ;%6C%f-okl z#GIIjpaJ`gJM~nraRt@7u3JB9mrdYHLKGTbs#r$^PFQA_q;gyg*K+e3v>Y8V6+lkD z5Fw;KOI|h86W1A@_wcFER=%NfZmRI5VVg+E{uA|M;U`55U|5S8bCqs3s>eyZO0ym@<|6(7qse#C zl^^aZ!lwjzi`0oJJ#%bR`q-3_EwL?KF!_Hw-Dl=nOyM68vtixqShu=Qn zsUN%ku1Q-RsdcFsA0>ZP%q|U{Md~z{ACM5Aw7t{)%jAU6a-z->cvl2x^99-p3Qd@2 zlA}Yv4+(>)AT!lE7=Nx$H~zIM<;K-Y!6*^Nfw=G4;@&kd}9i?F-J=1#? zMhm>qF+Ly2{Y-+4NTS!j<$2JYQ-h9wjD7diJtVeMvlf_Owra~G2j>vDOHXv8-&4zQ2R~bOfsay zvX;5wz&P&|o=Up~@}eeb2M*8r%nTiaq5)wIi-SMPHKdd18_{7_DGiast<3+v zDK_K`!sYd$z%39Uw(wKq7s(H^%Wf0N=Ah8l8WA<=eXq`T*g4Qm&{SGX zAc+{6i&DH_9&`1Z6qomfgAR14kig8DGk>IAy-FQGEGss2--Pnk9U~_Psk@$V>+FA+Q8}h%DnEQ(y;p;wdg2=Txl`$QDt9g|$g&Fn$`ffN=zdj^G({LJ5%D*8AL| z=!JOd*+1KY%ikst(Py(4OeF1HG#!)kO$UnnNUiQyAyb0`LlSb7e}Sw6~|&phJ->6 zwwTk=08xWA+P-qJ%*|5g0t{2eQmp>s_366+^@;1AV<&hfgGIg+=lnf98813ipA5aMRAE;m@Hye(+J6oS`jlKH~xgFK(v8x3qJD76R)bE~UfV45&I=@soawTNt}x zBb17+E)w2Uglaw%H5SMvnx#CE-4O&j%pDj)5DY-}veEQP8t*0r=NZ?HOh*j4h6PJ2=}@dc@2 zv7iHdVavu%PMb(8_qw3t;@Y;o4*62bNQXh zc>S{$X)orBg^i&Sa+qO^{MKn zz=BqaV-UE%Ok;xwK24QiOkcIEe>jD0*S z0l}kvoIbDPJAbx3WeGq6%wN-WAVRg$U7!x_0jospJzAeLxKCkgM;;q_QyZ<64?W>q zPnG`U?t$ptd~W1R!BG-(E!r|0A7yleT>BL15c7*s=8b#n_xM|S<5TD(n} z&cLGz3!Rgv<09MTTFsu6$POcXhypz?pl66XIe*zx?pKwz2DJw}HSB-9e--9j30|t# zvZTUp!D{i&WKysYP<%k=?8#H@#i2~Hj?l@(hs%?#97zh*zJ}l86`+m;pN}d)rbZ}` zosmEB#xoxOy+_rPenkp|n#xQs5bJP`xTa%oOwDI>Q`433@YeCd&bmDINv3NF)2&CA z#nL$E@9q6-U?Wei-j&3HC@aF|IBbmx;GDyh*wQ0Y9;VUGqf{WTqN|g>r^wq6SJReJKg6R8d)K~vl2rp@0 z5@I_X`T96M!!EbaOmQ1G!r_XQH&!x>eD!0FX^t2-vPf>(AnvWL2NG+ZijVWZAwK;|RK0TrJWwNp8~Vo`c8}-+eTZ#M6;Mx8vZg5g6Urg(T`# zjCC&(uek#PsB=G6WNkr(8Wp1%4Lc4x0p6%zcGh_BXZ^;wUt$MQ`3r#L8qTseR{VH- zLbz?A!vmqFT^lS zouj%Bj8fpA2gmB!`*UQnSp<6FiOiC%gLq@p(RE}s>8l02@F@we`HH=K(zX|GaYpg6IY-;#%juSZWNMX+lDMS>dfu)+hY=iqC5%9o6q-gvF zbz`K!L#04tBVNhA8E&}ys}~c0ta9o%l1uCm4LcVVul=zCGyCNr2uM3SoZj|%b6aeDwS$1m9uP z;S&LUcnx@`_P43Our1P$yVnhcs5@_IXw<=fQ3NLe!EpK>92(P9EGYIPGVt;L`XR!@ z8zTs>YYC+kosPrD?JV(VFF)#~P&yb=BlHKiG#4sp(Kn>FKAyj!_R!SS-Khps{M|)_ z+X#4%LE>0nrZR)qMNcigaK;j{%CeII#)Q}~&kiu>VoqvcAQXubzo+LQFV|i3;l~h& zS8ajTDZN< z{ItH@;09hg4JY{11KtEeYuyF|ewxJAU|aoNkOAKyk{3CKos80W{V3FSGipyN$aq(-f-Bb%`Jj z)GdX2Lu!p6?bqXP{2raTvKj``Lle#-N1DNVOQy4LYnG<;Ze{{Iw=stga__&jdV7K0 zKTqC%+vCn+p7Yg)EgcEOecZ-~!)!%vUI%GIFyExl0*{V29Dxg6!AySDo99;dJy*~E zhkrcK6D_4_V^q>^7yDKA5?iP@l%(QidV@qIia4i0i!$Dq4=1so6GE8u)|W(;I+Xz! zgz&rRF1n05@HOoy&;QPa!cQfRV#BqaPud#wlh?-(uvQYVni&&5rRdVyJV|`G!`xKg zWEuH*O7mhgcE4z_38<(gWy}=kLmt$L2Pj&#xNL!DIwHXip_e_VU`awXAl|y064ax| zIC47iyP3d0Rk+X_NHV?Z{{`Y5arDeM{5B+gK_hr^BW&{<+6fAP;5G`^4y&IKYBIL& z(Z_@|pfi~bmvbo5;b^RgKTOW}@P&Vhkdglj8xeR(K`Yza?Ud2}lF(wmiv zFXM+joy`Ro$`d$>tNdVtibV%%E?p|~!P2!^)iTNIPB-%v9%h#b0I7=7v9k@y^U^js z$AuTlGj%OH&631ZBWeH8O&;y(VybS*v98U*c$ZM2o|m8rXdBO?gCQLQyba$+#&BE< ziba^|(F=%!Adm!oa?yo#{0{D$vtQ+cYJFLJ|C@e0+OAnGmLRf{31E10Q7Zu-DB+6P zrZb@G%d-#Hxl(if5eDCApmDF^S(f>+Kw&`2rFn%4wz!%}g1DA*-q$cI1%@F@=2SWN z)D)&Hg#0gH-_nxUMr^BLKE|X@`MjgV{tBvCsrV12>cvSEP#r1$ z$4FopFwsMSd(S-sN0pekS?V_1#xSU1re=>LJiIbgSRd0>_x@<{ksT` zS)`skd>aPG1-uFQyT<_obBE5U$f{VW&)^j=|71wi4l_DwjTdvA7O4O=I59_H>AL#N z1$&h<2&%xUDA>QQ;k5CuU+dbE?9fz+|A$B&1-h7L`{~=2nb`ga3VhXP-a zN>yHRf5Uw^_3gdaig8Ia%9D)Gx;YtQKUotHNF!t{op&b_O2MGJD6qxCb#cRUm;)%} z9;EVV)0)*DlkV$hip1nt>qI{#56sd2ee%^&IOO=hhbZU&7wW{!z{$@1-?9N)1dTYjxq(60+Wz+$+hJ_6wsi{IxvuWP z2?lmb)dlS(OmgP_-YRcvDzY}JdcNv(TT+ZGEn$k#3YZ8`#uZ`{QzJv;3uwtphbDve z4Ghc-4Ge?`NR;azn!tah;`l2-pB-2LI~;w|L))Y0m2ZYh4=h~|{zW{3h;wWOuWJBS zYkyN~fB#prwxXfw`eg!XzXK$Z=Cz^$h>!;0j3b^y^;f_-I=VJ6G`@a`Kh+fjh~}jA zOHNJA+_!c0D+8Vz9@$z#%rm<%fpvNtGqbUP{|lbJ39#MuOAZq4*PNM&jL+OyT1uW+ z9!QNmHY^#I0=Q>>Xaf5exC2O=#}Cb~R|AY9oeSW19Sa$VRA6vpY1Y zj%`!13()9e;x3m0SdsFJnxV{3iU_758&<84xmc9>KE=+?zR_bo#W@) z%EAWD!H&uKsl~ntNNr;c7;r)XO4>%p1_nS;EV36y=2}}2|EC16gzcro1Ru;d)dngK zNg4DXPXBH8M{8Q!Dr-wCUCa9F_agqimI2=|#iE8EYPTKyNv_i69;62t*W&8G?QskI)&=ZoO2Bf|p#(1z|tz<2jo<%?cO z&lpr~Ev*x9%1?zY2I4pThY(ET2iSM3H!>PsAon=XrwSmYm+zMk(}!US=*aB$8~?Gl zHceedMo36G>L-`>SCf(q>;dSF$-w~-W1T}CpsGp>2jC_)@b`B_p0WAe6!-U-`qB&% z=Hd0M0sKa+AQDT(8T5&zT-={=6$tbeUk%7S)hi^mzNemR0S>NxA1d~ z&apH0bnrPa(YMkMfAX=Hk`#AZ5Y5*bb8{3nv!gA|gV;;!0sH{ut-+_N5OnU+77aKp z9Y@dxpUyA#09Y9;a z7y8GP?&OA!4!?GAcj_BsqxWuC4iVuDltoNU6D<8Pbb~GUh38-I-Gd2l8iGy%&)jr@ z>7%CI%h^}dU#75n_PguQfj)zcF|5U%K*Eu{LH6V1v#=4At$DKi%663wmSNu5P4DpNpU`@*V z*=7A8H^r;Pf@MwX^PYeIavxE6M_+nY@jW8DWOBdeO(kjg2BOAmKjxno1s+#cCt-Df z9R6>=BV@G^$`qu++2Gew?yY&wp+T)NUnNLh0hx8kBWz(+T#IyhVOkl(3~>Xbmq#Ii zirfldYu+!Hz=E%R@w(V)YL?&VD3&YJp@0K@So>}!df)R0$e@<>KO+r5wh3g5OnpsJ zRO6jY_nfYR^#E&4@sO(TksP7oI&dLvk#&%6dS+lh+b%-^I(*H+D}Jbv7-=q{$1O9Q*bu+!Rt8a8)81h-=Pe zQ|N4Hrh<1w{iNa6uAND$eb{B{DCiieJdG%6oPvD=7R40By!$P7qW!Hs;hai(uRP`+ z7a5>eq;M2o?|(jn6Z^%L;pxLZ;~1DWmCs$A!*MANF&ii#K&7IMb$!+xsFE%f3@SU| znHA3p!F6U(j_(#c=f@`f)sUL#8H*!Z$7e%*l-lsVN}q$5rc!n@-gg1i^h^@;avXnf ziS~k$R4bo>ZFjO_Km6o><9OH^J1B>zkw?3hNZL;bo7)b&2TPG6U4O6}J9Q}bikW*L zjq!$pNqvx0xvmo4x{=K#rBel@>#hY9jqPGNB0QIQWE))Rgg-uf%ibO$Y@A=ZNm%ho z#}eu8IrrnXdnfZ$#(!4ZJyU~&$0~bKPWL;si{#uM7N_w=HXMmw2qh&5BhB&o8bitx z(i+X2E2Bro!dyjY@F6Pf4`Y87RjBf$W(3Drj*rz zm73SlnBHxrl9X69ik`8o*Fv?moS`Th!R2gPZKG_*DAIZ6ei{5sS?Xy~^_7%h%)F~y zCS`uPpJ3=G$UY8PRdR0KDY_dWbGL3--FLAzUZz^S1%zQ#DJj~RPvYAWO2?bY$<8{< z%kY?i+Gp*3I)%!yXg?_ki)inwMcV2u7?oimV-2`QH1sZW zjv2?^jv0(#-{`G5J|^yiKYECi``?h$0eOGu$&8yt%*Ut=3mrpa9j%j*g|G4ke|%H% z1af!q#*5**Ts$yUw6oMS%we}g$)ug}Nt$_NH0`dt2$IRTA#vYM$s8h>yRcv&kKaSO zq?^e;Q`nHbikcb-&my{gN=1V)^#h)Eq>a2LD~{9NuG!J2og{si0kWtWT|zkEQP)tE z{iGXq%}nNuI(GJegKF(#I5XEUQ=UcStKY>cRYVEP=E{{7mK8LjlxMVQ&T-E#Za=x` zmJ z^T&(b3^Tpy$pET%AJ)(}-1NG3i1y$FFz6Fzl1PBh0@Ph|v+>~F>tWeFUIY!+1og_c zB;w39(^t?xwub2$fJ_kPu*7bMlb7^^r9dXAOyKV|NfK;wtxWz?+noPFAhMQhdgoPm zMiGVEUWd%yIC_Su(a!VN*Y{u@`eC?q!bc&afzGv+#sg+f>)0Sr)u4IDQa_9}qAS)Ye_>e~LyDqZ~&n z^GJGh5O{O?4L?wGw}TJ`<#?Dwk~+%1O~Z_-_V)iKw)>Vz9Jx5Nc{a~18Tyk>OI-3; z4PrYu8ikv23}Al|gD59l+22}<_cO0{!o@g3A=HZ=W=_x6(i@wFDEBpiSoy>ZW4HE; z6TV1EvP2FsMQ^GqlWsUwVsf9e+g>#^8C%+x7`O;l*LQ6tg5-eR6{O#`ZMR~5&^THQ zl`sN7{j^u>BDk-T2S@jLUTJ*G3S|#AIieq;a@^juOX!}jzN+q-h`VO~??HRjUTlnr z&q6IW)1qig-`d|t8iYS+WO0emT(iw$f)7dun~&ZkpYnrN$dp`tj2G)nr959r$`d@l z#Zhf8@0x-X2f_I*;c$%~^A9l0^~j}L6G8)Cf35AGT2N3^eC-KZlaaZYb}dyR zR1h4S`W+KuxEd0pL8v=$4TdFbT8Csj^%KUjC+=ybx9z3%=dybz`_>;a#0J5rpl~Zo z5TK|Jp-jieB(#XIKONXrjIxi?7tg~*L>{e}C=|WiW=O{`Sq3d(fPo%oe5`R?0bMU^ z$AD(8fvp<39?y|a;0C(`Oth@;_nbS12N^wkl>=)oJ7oN!Y~&(?YR+PD8pc0lk%2L28;9T zVBJKQD*dMQjSd5F01~FB%}aB;JUF70kBOgU-j7J{)_+QBySBu^NpZg&dzz7tIWd+! zjA%#5qUbJPEFqm%w`cZp9q)Q@kgA=lMbSG51u4SAUF~& zJHs*W&?8iMgs^+i(1jCOwh=WBWZXPFKgab@KXO7X!S*25US%?SsDDU8X8r(O!V2{| zY^$AXZHutx++zBqt0N_3gk#Qxy@;zsr`3r}`-+kKiT`UQ9S)Ry8Q_6P$TOkMWrU?6 z@)mo+M8iM^sf9^KP> zKDe3hJbngE4%z1jkvE)Cb@}T(VsKu9tQfF0*zN)0k46${@HSPF-yI3+vO+4>68NlT zvkB`8cJ%|t`z6ah9pMfhk@nQFWyn3Z%QX^B`%VkIgb^$Rv)DekBdN|rAW+u&#@@OK z3t`0OIUvQsNF_c-0(kpTeg~v6%ZkB{2e}`_xP5s<;poD-V51g9w z9~Qfogl7a8!7n~)KNrII*vL$nbNh?|gOV^ZCQ`F^BKf+F_Y*Iz5Cn>2vL4Ob9x14w zrgE9VBKl@KY-QgRe6l_Uq22I_XBM zBx2Afub6!?hkqlcDx}#YHd$BH%SfRKL4x-43Qq)wS3m-lI6f0_S^%i3Rmc+4Yo}Hfr|b@&^gaC z;TMj&+Gk&?5>V#R>gM}%fkAAt#`#zeD5FV=6th7>zT|yt9k-iD{v^GT?jBHtL<9so z;XS2YoYd?#lzmu#h$uKlMM2maP53!+&!a9XKFnSl%6xBts;V}>Na7f9lu*I*JQz0u zAQh+bDl_PF4m{jyG*tpHUV8Uym!}lqI7phDorJ3;-~R#0mr2GArrP1>?z&=vDaJ;}yi>`s#aK5b z*ZDx3G*X8HcyD}=t5L^12)!)+D?L*&n2;C82}&-p9I*au;I$?h8r{M0-Kp`EE;<%D zR+S3+$_-mtIhio%zAdb0Xh!V7)0vfv6ptE<{sT9N9VAYlG93A%%m^HFwsy#bv?!>_tx=PSq+-GS!yXT~Em zP0)vyE|}&e0!3OCbct}B!-w*-e2+a1-40AyLf@Ys3;lfJlPnB& z!ww6Q77}})6wr>l1t(9hLYoPgj>{4%h4HZlQ@zdJ3O-a4<$kS@G+8zpp!qUaQm_tU zOc&QL){pJtg5|>YTF103e$Wf8jAv77#M65nc%8hPZ&@nS-b|3~{G(~)rp9(WiD1~2 zc$%cN>~YX07-FAe8Ydzt5F91s%eA z21L3sCa2a z-=x#QW+tmy93RKY3Fgi02(X041og!Q&;4Hexi7>X0es#-aWMLvg3(M;lpd2+0wmrx znbw$W<#f79LpOLemz}@5WKB<5n6k)0AuH-L;0d#Knz*YUcWUVOFdy-b;bOKw1ilT( zPyc{=qH7yCkgP+8{2Suk8(`1{J8&A_QOGa<-QzZM+i;*G(_3c}o8x@7DlC_vEyvS918)zF&T2P4)DJ0q#%q%VKgqq6{QdWQ9a;GKC~eV{^%K< z&~|U4**y>@ACGN)WO;{$-v;?}E*Zd?PbMuA9(c*?hpk>*n4MqNys}5H^L`!vw5gP% zylY-eiaOZVfAR2qUE>G%cqcL^8YzqDQq7>sWcFfVCb#kC&0V(VyuMEs{MJ+dDKwrF zWnxcD|E+O-+&QE$i!M9@aTh9_tSO~&0UfIvbGCi~D8X6Xhv~h;7pmYBHU^#g2L&CX zfn#sD75WE_zA(5lPNq0+>b$BkgGAHjy1_9b>m=AHO=N8;dHf{2o{o{$JflxLQ&{U; zc-_HT9xy&;F%YL8tj2TSV~UxY;b~273@dRVnV$hFP(4WtmE(4$&txV6Mcj6~5c9CV zJ*7H|H-``bB}T9~;TgA31hAor_QB|ii{F%|*MJ~^vWyQ$|BVmEsAC#HF&*M|S_~Fr ze?sI@gc-c7e+^ZhoZ-7A1Fpr7G+DM6Tf3ey+U-c4S-0!FDowFAlzOGza%LG&9EeTr zqvf#tWYBg4@1gka?GU?Jhl{Ha1)(92;Ra*q?dMbGshD>Niu2LC2hzhip(oA;1503} zJkk6e4&{Bgt&&h#^n0X7zh?XTIL{+;p!s#U<-YU!P^n}?GPCa)aBtP=6e$bZ(eoL= zCIChjiB+Lu}I@7WWTQ(}R`> zLh_2mu71m@hw$3n4fIc-+)C?k5LDjHQ_mA_Ib;_FbGfYRW(AHySnGrS4K{%F;&CRa zI)v^$RLf}%G1NI1zlAB*p7ft5bv!=JH7XwjNy>4~FCO3s;Hq%&XcrE_!YAynFiti8 z5fzb=f5BeW*AaUUz6;K9t6JuT-T9B@*A>t?_Gw}@&?zQ>vkY-qdKyUFqHR+Of67r7 zQ32zf$SD7GR{cyrZ1|05bLx3h60$go<@QP{=8|ny)P5AKCbZf>!Q~8QF}ZUJo_B`a zdGU9`J``p6Hnp>M2ZZmQ6>#o@g zy6$tNS(plZ1%X%)LKR~+WQYugu#v?7c$Tv~_ibJjpjSYz^VnYfEm12%VV41w(Bs;=q##Y## zue)_-8;@G)nCHEjN^l&5RL+avzo-`{u})yPOOwANR%xaD1{%XX$DyYuJX3cT4A-Yb z4$L)*GGJ_ym+I?}G(^$nQTIg9QWn#ihH})8^dhQsOr^dOpZMk^OQP||1+%ODLs`Xa zy3Qv4#xrM3V17`UHv@9^HB+Mg`ZxCtsg9EZ2~y0Cl*iGHtgt2I6pO$|y0laRzHPsch&-(=3#CWKGryh#Nr5LmMwFNcl z6R6WB?J{HzKWp6N06Mod?{{DPuhMxTXKDXzIB=_P@yM_9CHpMNJa8=RXHt7@)}UkW8PtZW$H1qHDWZQr>QhZ^S` zqA^67S*1I)ru${1wGnr2s)Wi1T1E{In(^{n;8+2p?QiAirwZ*~P^(dZ<+&ZPi9B6S zrYWCY;5@XZ#w#QTq^iD_pmT2seM|&mpY8bU9XK*AXrQl#zkTc)_tAbizD}ti(p7$b zTRJW#lseqN<&R3p%k#GKuB`kDgxEHyF7m745nI)k#e`a+nGw<%yywo&T0+`BK4nCv z{)WP_hT-0Y9TLS|q_^btP|WBKDU$H*IEoltCYbIN?b0`{I?&a4+~ z4*!dzU1wOB=_Vr@p_095>7+W2-S64F5@Fzn+Es=%swdic#Z9z)I;Fn3dU4R6!ajg$ zp7E9ef}Ke|w8+S*9dT>5qw}$1i5iBPv@>!XuPGc)A4eELEC7#_6EtQAaV9mH*T4J8 z0!B-3GN^LAswiIELPU2&A)^^{!)!ImliPZs2PPm0YEV{)>wN33y%#d$qsyU?49R^V zujRkuW$I{V?%jQ3a*t+rgyv-IA`H`V zDseQVwyjCNc4>~HjZT=n7ECj52peNRxb)gC2MLQJ5g9w@L`#Ebe^0g!GTrD7w5%?u zGvfd*%wJ(67Hg6LNOTWDWj!Ocpinpci9-hS`&u@s61zaR0$7~X2BT48jJzs_CdimW z{`XW;gFkIYf%mM_K;^Cm74IM^vYDOeJJT~(XZW#M z9WnCb$b=5|?VMY1W+%Fxq0F1PX@3#uHj9N}Uw@ROk^AV?M7BgQgZ=y&b%mjOr1FyD zYnW?OebYtNmH+5IVwQO<#BTl$dfL6e|G{4=d#O%R5I?dBg;xzSsVF~thhg)El4(2) zf~!Iq-xtcD6D*y#cJ@>1WtwpAH5D53`+|{+Wf4*iQg@`llNc5=7dhN(3niNg;e~5q z#IX&eZlRg$bf7*To!FP-kWUa6tMs}S61)E7PysqUpvvgV#A%La-%Gh!ZXR428mExW z?OX`lt!vGs3%4xt(J3(tTsFTxosrXu+n#_j(`rzc%eq9R6jKCzwryn>=O68(czwDr zWIbWuc(qhTP#V_&%p+9p=!{7IGlKZ19%c!7{HRTQ zd-g&65WDVPT2e`n8*L zSCm9QnnV^`$Sw|)vh(?q{3vd*B!MufQ#+nKwU|KA$|^3-xIgO*Q=~C!Op8buNgoqB zIqt~GLW`1RI5-^WU+8dl3yI{35Sbx|p;Us?hisqeJ%>{Hf#g2*d4o~}F}r)!_4B`o z(coqc9^eKsWb_^SYC33*Ru@C$nPS4Qk8&1_MNwjHeT-MGVn}fH94*$rddXGl!HDxL zhO9Ifq9^!yWR-O)m=6goJ4Enx6xJmWEd>*2D|4z4i}*J#CqKdyD#a0F(9iFp;r$+* zFX*(+&uD8aW>g&@_;^y+R`2ZJa7|Bjiv;1wD`xn7m$s|}>TmNbJwQS|B~X(9T09+e z)<4dQo1v#;Ak}555us`Xgmw|23A&`~s zPB$v1wJ;s&#Gr-h)RpQ7nEg$o0zfX$wGpo0plz_Bld;E*mn^p$?4FB*+7K-dERd2} zcz=>}Tm&}=?V5+Lfox5(o6|qrEx0;%U&fbLJ%cPbDZ#Dfz5ISY{h$RqE;#mw4U~-S z0>{HEEsft0oxCtjS=^XYdyU$IMuX@5lx?nc3}X6( zB7Qc4`Etiis>aon1+7z2f4L*&);^1^@Dcrm(kv@=&wSLNI)E*mLLcgHqP8eFzPD-% zD0)cGX<5dBJ@wep{azO`8<};FsWrnYuJ?+#fllxB7*r9zXJj|}9nSCrlatMn_dBO0 zNwiz|qr7~NmEOguf;19XI331N4D4nPobyZcEf#~{BW3JIfAsl5R#aEB{kU5hHhSP?%(lnXwzX@S^A1@M4GC!6IeP%f&7y^K<<*9g8N*t6mkI&F8kE8~M@= zoj|#x>ZUQiKd!e5$3?}fbr(I0uIn-nD&XviTFPm`JTSeWu~Jd}Vov83v<-~|O)^3U z8BuEL5340XD7+eT$%?pPo>rY&u@{sV(2)7=t0;|#Q-?zsA?Kz`!Ig?$OUVyyK@JS~ z)n6y92!klu5ZWZAt3<^fQ^8_TBBQ8t3ruHQl?{tz9h0)~?ka$AgEfgTtjHm~^P<}f zT4)1cSip%yl}X(8`o4wAI8Bt>-Zy$bD~t}6q`otZKTjMuTbAA1`y*39AgwpEt8}t* zhetpCC@Jx)op#FVnb&d=G9jwGe|mEK9;mo5S!R4idN^7XXzflKe?2XkS1_at$IsW{ z;nn*ra2iJPpuX>2@3Ys`{9uPzY|5TH25Fj=IY%o ziR61{okF>`UDkf2txD6hxw;UNO(NtJrf;bqXx9Z37pT}GHvat|ENN6w!RTQFhZr*L z&zz9RG9exd(nMM7YW)jUq90Q9rHsPPFLADCVWRptRT+h@y5*@U=9rg~I2ciz6#KhHMnGfcNuw`6m zH4bpm*@`$s=41(GXN-T);ANsIk)O%}GGHbpY;t{C3c>{NSgF-V4XJ1NX~zu9Hbqyl zb!PPIXWAfQ3Usr$<7icg zgSjA-VmM~DVP#BxKZBR`5C}($?fm4qIB^vGzUkI;Zu%8fSP(7WW-`q^cP#AhNrVYP zhA7xhF;+0l>u&x1k@T7}g6)4aP_}26kC5k5btcU^UeLaE@MtS2?^V>BMp#&*bAo7>{hy`7mm?NFMeQHJ$_~ z)hCZm0H(JD|3s~h*4DP-)GaASNk$Jt}Bvp)#7xi?l zvkffW=5Hm}UZ1HZ8>YWnvd>^NHS`;)d{*Z}RpSmnDPpg2YP#S$|Q4v;Q+*F>{ znuZZ=LVUcE85stH;_5H&#L%B<}#r_B7Xrs*b1)~Av$?BHv zYLf-WIb)dL`e2n)(h+jhH5TS}ZkMod=*lITo?=@#fDDD64}X=q_(zZp#k#yi5a}W_ zZh`h5cSB!1w1Er+<)7eT89Ps#V_esIn=-#3b||`}e+E?Aar=N&7FWn@36y(~(wk%|o*^S2Z22eL@DyjQwu^nIr5q z{&T&s4x>|WmK8cywRjMmPK}?af$}^k{t=PQ^J->U)j9h#fEB2(`U>4Sb2{@UpknB4 z&fg6|Kt}}^ZZ?~x6OgLrB9!%NLDD$m9UhBC>E}Qv>CWd*G-(>v=)K!YT~j(HwOgtP zBmvMuRMJO&-ad8ah5Z+Eti4~a_vdd$#lPvY)JyHCx~%@;oZ>91o*dLt^o|n?Tltc= zr(o2i?1I&hI+_uxfTmD*$p_}& zV&MMEbHcl>P+IuluGg#J3UEgp=pyup2XfyP$DxOJ`d730{2;^}>(yTWY`kQb*-Q z<*!O%^&ggEnj?vbs|LJJ=EvHXMsxZ)%SKFp(m4dLykBAU-}2}VTMa810joadyf<&v;C=??x^p&?VBa9A3Uq`H?X}!Lvs8*@yCVcQx$f zNhzJ2yX0OZ&ysRkojW7_devrH_t90rHUBam|0$d+Cr6I!gl|H~lG*!4b~DFmB&8*x zh7>$dCE3ecw^>H*B(!YVvPif)UYgt!!{st0b8-Nyze9{qpWiAvMSVAK*yY&#=SQ=m zUXPc|Cg57xb+{w5FTj(J+V7V%Mb=T*FNwZJ$QtWS%;;=JwmN{rxc_@wFdgS`1nX&-{4=xSL@kYNu9s(fj zk_5nh;X(%v7ByrgQPi_XZ2?O>3ylSVaBh&m31Zcn1bsvAwW^Z*>5B}So!(Z)zH4oy z+=m`J(@o`vRprPYd$N={aBhqaD=s&r;9z0Bmg+W{pjBgWl91vH-+Q)5y_!e+okW|3&t~+cSvi=)lNsDP zlQ=8CyQma#;Uu@Ul9Js|3?Ucd>nq+I?@8(eX0UOhQJ1ht891;yCXMXV)-g9`L0I9&^6KXw4 zmXHnMYMIeo&}z$FWGvXL8V{p6F@fK4AobjCt8}#ER&+RG<-M~#)fivg{V<7*TCvC5 z+H7L`?eS6wbf};b++W@qO>=8%9I+l$6LK3=k1#&A#ITLSZ+(5Z7;q*&Rt4WvI3H2F z&=E1v9F=7JmPu9hRq>H3QkQZbf4Tn#L9zNGD# zTO0D|A#7`+ls77 zDTWt4vYb6x-L?DhtB9P7paa_COLuIqGJXu^e!(f?w5zDgN{UnsMlVUYsu>%OTyHUF zDm@-(5ZR7EHwmrxb(r_*9gzXlI*hZVh-Y5+Fd#Ipbw|Clj#YGoI>YN^Tw%6BvK^y@ z*#XnXaV6@FqmXDFE4vJC8sjw6JF#?BowG72+7vth>S>@sc!D{bI0LXFqu37h&*JEZ zZIqYK_u1)}YZ}Bf(_Ij_=>> z$V|YSlL5wWbf2Z(9~22?mDdAkR7|V%a1!dh<#A$BKE5HM)FK=yhcuEqI#omE z85RWechdoqH{w|fPZK|asqb1JQ1>`1OrkOL)1_ z6=_6dU9})QQ)cEYBY`^SD2G_V2Q)*f{?fNUSAd-~xYiJq5<*uz(NYw?TqccJ^Oxw2 zVijcbWPheQzONL9igGReT`B9_;xqTFud6&y-_skdS{KnUSjBR`ihC~0`Sv;4QNecZ zVLXP1(eaXs94{eWoKIjwAZN}&z`a63MJa#?GyaOP-&?NND|0mPB-Nn?a>5SqE}FY> zt6jR)9~%2jW*`Z_#sFO(B{#U69d~`MP3dF7i~CqGu-sIbYdK`yaQ!{5)GQHKi$)E$*e*2eodr&>)9Jt2$r? zBVPzJ0+)CwVqNs3V0C;KFYDmuRL31hwfUw*rz{jNQ3W67c?m;XpopBKH#{GOGr$lDBb0DdA!+X?_XDPYd$D)8lMejt#5cb2#7CK66 z7wvvJ^eB2J*f#&+#2Up|ZhKj$ikx<=QM88u={c(<-aRFgEjgBE)QR#ZKzM#zM=g^Z z0ahUkAgzxUN8#CMMR_B|x>-x9YMxb$Tpt6s@#tCdnWgm>uVa^F3?LotQivp$V3h~R zgF|k~GwMMjFNKwba--f<(%CCDzsZ|iv%8#2E4~sWrdCv2y5=M=;N7B~I)P}gCqaDV z8hw1uNa)v3@tx25xo$ z=S20^hCxb$t)OGS8s(*gI?6-^E0Bp6&k48BhvZz>Quff3Ek+uKb5FkaEmf!+@rsNr zD;>u9!Ljkr=qc)@TVGFC@6XbR>jccD8iuV|i_5d~2Iyx1wR$HDDfGDpu#8Yt=ASwPsAbx-Aw)U5Xt5S)0&{B*e!M{=o8rBxef?4P9SGNq!ejJq@a z==N67c9c|AC=EfL9v;7kUWd1OoT>bs9OJ`er3uIXub_mYBoKeXh`?Qo)oD|cgi=ix5T=F z0vf1wh-oIKC&ac9*1rshLe1QG&b96fXV9sP8>i3)beVcD-!;1?jE|gKXj-Fc0-N-u z@#W_E8xS1v_t@sXcKXmICj?@`kr-fV7Y+G>d%ENm9@_W$K(SjU!T=Lb{1Ru)RY#D$ zRfP;Xpmw@0hu;ZXof{krhzj9~z5YXqGC$dqdgX*^5U~Nmsf-&3?9f4~YKKLUH9e0< zLd!Iq$EIWdCQfIBCo81$1LImq2AW()hpEFilWVBzxU0vaRCBayZcB>dlWaX=?I`Y+gZI6Of4%Jb>ZTi61I7b+KVwrk z*K9!SK5f%9O?D5h@TK<6>7jgVQwDOPn*>=G+qt2ccocaWHnY}EnziD26f@}|<3^CI zr(&2(g6BIu24vzvAjL|+`A#m|Cm@Shc`-M)@S13U&xpEwZM9t6J~7yXXDen95Syq} z@;l5OwyvU=_bgLJH3dBLgukAEgkXyOW}SSIc}zeAYD6zg-YrF+zmEAUWsWXv6oB|U zhO^eAw9A52=Hz;wAa0=6U$X>kwGGc)d^|2L!ztc@w92MnT6Wy#t&ij=nb}hS|M`RK za6*+5lS-2tgOHT!V)>hS)5kxG8lf=(rZj(Ms)U76~}Y`0RqNbxMjc|Bm`jMLpbDgm`Qb_~{9_dxVVQ`eSE` zrTS1*u_#VK2PJC`2@IS%Vsj7uIbn`?bE|A|XPm}i`X1n#j{DL@demAL)SxiXpw4h% zSrP2fYv_F?>U*>#QVp(*zlnW_X>(HrpB*NwezLacG8s!1h4FjWTXOT}k@~?UMTr)B z5oBw}rCjflZ#!%dh3%LDudM*9iltD(;mY>N*K=mYC-F^;KOO^(z-RX2xB&~(hrN|p%TeCXE~Yu0PFp?Io6 z_w=8Z6DveokpzX%QR@RztqirV)7ixdf@x#P09IS{?~UlSR<657)5;&&Y7Yg(p2<+S zrnidXj)oo&o`2hI!hU|fh|!5}Wff>$sGznoFMeO^NcXp5=zI-HSxmY@YXw=_p#}W% zv#cW&oH>QEApSrWJHI+KKx{?{yj!|8uLccZH+dGMA?51#3}+rS9SC=RP#aGdyLUC@ zs@%pFA?4P{Jc}*ZBGx=O4_*deI9R-rU@QePAtu_KB*FpRmd-Gf72w#B^|9R<7np>1 zUTfi(W~3T2dnyy}-_UoZV{vraJlhiWp1Hp;sS+&!K@B@r1tP9M&6k}lcR!(_?OF+0 zwh4tBSeI(=E^3!uHq}F`M|{v@n$b_25WC23Byc%BNx5`5(whZ`N7!@Ay1>M+n!DT5 zH#e0lMe$X4HBX!|(Wj461tdU65lre{X$}f%(EKyf<9Lage!

Bj22Us5*nor2^7} zy7K?JtrwGO<-tSFR;vBBtf0=U_bV~TyBs+0!^XW^*S65-d=)d_^_&n26<$gRvVP94 zQCoX#~fj0a>`%Z z%_i^q@)1Vt%+4h4ZB$4(0LG9n(H_sq5zv4Y0)iDg(Xr8RNgek{Z;&oigX>s?( zGkGF5ZX+mttsZ5jp5(ORH&Gn97kC~E8_sK|xV{kQXim#fO2RswvPJphMaDv^LP+>S zKQ2Bh8)N{l`*aCSNj!)3l$my~dqmp{)02%A5Ssh)au90f&@M=VU2P|Tf5UBzJ~uaJ zUZczS+M{3iw=AUco%o)G%;jft*+PbqKmgE$XbI}24*#hoF~U$KcCxFMrh5-vc>7isI&kdAwCa6Qcv zv0j+iqP-`z2tt^uPUsIalQ(!lN=L<(&c{OX>2-s~PJM67oCP_#la~~CPI@8c&Z}e> zg0d&lN1iz;9J#GpqC6p?R|3kc8>5a_l$PVrI&RE<)Ccq8d3ZI8^l| zizHnd?D}3tk*W&Ua`bCsl{is&7*o4p*~lM_vyieSv)Du2D*0N4Grc{=GIBVvIwswK z=1HI6i!m`nJc}CrlK5)=0uCS-;leh~Mhr)ZDuV1@u!A?6ST$FvDjRc{zI6&we~5{V zz7GiLWxts`fAvHh9+1(pZ}jchz+{3*iAZ}%b{ zwmT;^vCwS_e3Btdjwfs#wj74@K~bE{!?=##@8{v#Q;WHd%x6HGj)pRV6FA+*=Ki~ zF10CFzGCeXnE$n56!>%@|I-_lx#{xrSw*l*5i_#B)L>}#CE!N)9L3XWnw8QG+hY0C zNT*e@BC;*xl-@t^;$5suTn#MB9YciozQgh8-^`SL^N( zt}$K$7p^fW=m&>J>12{DW8g`$g-m^k!SuVU`1#p=`z*Oe8!&FRD>VcDZgi zJOb#pu3iR6mXMsuzSkL}1i9G;`>0(eaJ3`aq1{SX^^0)qgj?zVLT?H%2n+eu4~>*) zk+c{v=X!oqb~i%^y@xT$o9~r3AqSaewOVqL(<7*M8;8G`YeQ|<+lwAg&T}1VzMJQA{LGbQqA!U{Fza_FZy6;f1u+QmgbrP<9LSq z48)3hv~Jaf^pktQo8G|1jN%^yJJ(d zf8h&rEom25vx7XAKiR-KO8c4v$TLb53A%xpq^f(P9A_gSKdedctIp#{;njkM;XXEu zE{y?x_3wX1VHu?+aEFQMz)=ktt5l&Xwj9qSmldAm?)7$AlJy?KVrl!qjX9!nsR2-9 zM?UJlQIer1ay?%0&STYHZ%eDTxW^hNpd>{B-uGHoWMSw2B{ z{r&G9T2?%0Y_aq~U5TULY3(ekbROrxM><}ctHmP4xqPPNfpPK)RX@Y-6c8RFW~CDq zses{*OV|nMP7-GqJS$|icu&9_!^1P0U-HrLR9S8W_J4rwkX{ML+I~=>;BwG!p z1}lUa>nf3M2s)>C$~>)*-U1r_#@P+zLEpZ8d-4J4XkObWPW43^j&s^qGb&hu20-`V zZmA`Pql}5X&E}HnPJ4QcCW=4|xg7w$L@U?C@c3m`reK-%J+9thDgC@cXu%Ia-Ff~u zu)|4MAGH=yAdVUDf>y-e!e`AT0iXylXK25arJ6R~1XDJV-E6`VOXby<0abj-KzTpa z5W}p^c>8tc=*a-eVEYGTV#VR>SK|Y_0G7TbBvsl}U7ehEHc{6U?$92h0kEqmjhlF~ zrlXFF4w?*>wNf<4taRZri&E|RZZpRA43@XF2NA6PGy#>8Be|zp?*>rraFR@XS7qgP zlQY&Xd_C}hEs-C)R9hf=^=_pmxX0V6keX4-LAri^NLN&;o_PcOjwLA z7UE+`NoLrF2>5e5Zcx7a*%#Ysk$FqO{L#rrbd$J}BE;!lkLNr1kEkb!A9xV1IvhqE zYKpED2D@==#IGmQa~#TrqhF>t&5?zBw5gv(V{shN`H3)h@);wde!ka02MS7A%}0?i zYEeDth|t(c508grz~H2W`6B=t2aVr`Bw|w5+A5!EOM53RW1~g|77rnfaC$Ia^jOsF zFE@5LX)s3}q?Q)w`}}5;pHm^QSS3^hq~u8-g+kUWuHXnTG%4c?y| zSR{r~>853iQOC4=)(}qPm7>uy;5hsMm*S4Y>}#$))^*^q8zT8*q1o?m6UGMLCIq%y zm~)@@S(tpKCsXP<9tFE0ke2|(iPS9;H>67VT%8=@w#&H)j3HFv}zTL{mkd6t@lcBI@Ff^>_(m6|o%+4?>C zBvn3Q^lv#-IFE0FtZDeCJ=5)c;+TDo1mUfmjFyBAAH#(vU4lo($7VImA|CUO%lC7s z&leOvjehczFms|Gfh5$l^*E?t?$)R#oCwJedGStS=V0rpj#dS!esQ9-{VYa)w_Cf- zLH{@cvG1^LXaT;&D_r0U+VWBg%XVJBJ{*W)K6#o`4sZ5l; zZtYW=HzJ^G^q|Xhc^XA(6M9JX$&Ob}wYs7;`)@yI6w-`PCD0^H(SWEDFMiCnrV1K% zlfh|Qt*FQrzr#;|fZbu}O&@fxgpyI~XK-Jt#)RYOP1&(13rSn3F1QS+>s(x5ys+@9 z^JqS7*>7*5D#$2pBH^UV@p5oSw>Ciq#)jZ1P_fZkEG4t>9>cLq$-v&UQMxR9+dk-& zne`}9sHN-#an}rrryM6WgfkxfNG368-tL-SgcVsvo*3*}F%sJnMWh>E?E)QpS_xGf z^0cOc?H#=hNB%Izs|f;iZvWV{vrpKBuh*=R_^Jd5?~B-4nO}bBySz@$E6Vn1YS}U+ z+<2MsAGno&mh(nnHA8vgQkkV2+>12KLt z1NmCi#EYR_43@r%ycaXCfaxk_EL>o zv87a_JOX+G(mYhhp4srG!Pj3AF6ElX&iLB6*HgFdKaF+a+>}clUtjniwINW!k|nla z@3w_%52u5V7{)S}B%R(N#UyV=*8Ma+(Fi6hq=FR6- zg)pe)2;w4oN{gFcQ@s)G>533weuRHD{4X+(e*h?{(i`D!4j2;9xh)*8kRM-!vYz4J z%qfs@92%VlbFO8h#d>vrlAIprZ^q-|FlaZrDNtQhmAA6Agt5FCLm*BVbxKNvH$5pI z-D|3$TrbuYmQ*Mm{3(ogZ56!LEgBFbwqr^)V=0h&M}G7218!IKIvO_4Bbc`U6_V|e;wbH z&IHZEI^i~njF)mrk_Tb~ftT>fGw$ec61D0Ycx{(z*dI|}qSK{f zr}n7Y6|oTG!ZW>gZkblM`O*fa$x1;uE{xR3dh|+GG(WVq0Xku`13Y6_KM3lcQNn>G zjuCp6Oy;rYLbT2CL^Ei4feZ^@x+kA;mScuhiYi2gGEl^N(1DcgT)vc}-+Q24nmFWi z2Q}*4BXj6y(z6uw@JnGJpXA0*mikK!mxnbtCxya+3hA+Z{IpW5{EOVG+pFi~W~Tx&0p4gPKRwiQlsn0D zmaTTR-g{3Tsglw-B!)G!bkAJYj*;a$4e*QWn`PZ&Y z8cdJTVi?d2$jA=QtT5A`ivR#8;df+qFY}Y4a3Ry}({KLOh**+~QH&Q(|0^nnGO$uIow{9a;# zXSLBZt8~cZr@CK6iWd{4kSf;$#qAZQ?U>I4-9qeL2PndMWibFkc|E8i`0*8^ z8|mfob7Z`-QDCg7d)|(EXH=iZ?~1!Y8n(he_HV@$9;PP3$+YB zU6~al0XG9rer}!#ak&QiL=+i)tJOVWB0|mS7G<@j@(qG~$@+b=Y{&H$d>z7e4BRqXrks5QfP^ zE;kN$*wDvc#-$d3C=|(eT5gA-%b;(Cobi|gA%x{%`J|Gm?O$E6~ zbwuScGDr>%`#|)^!$u#I|5-OKcltG|hc?hJeZo~PjYvjWz|?}=7H)MbH{dvr8ll_* z{NFDD0}&NhBX@ri7~O{_#GmuF(^6pys{z`}x(wdSe@tqU zO)S=a2LGkgS`E=wyr{1=2`R*!pIQrFv@Zrcj6@^S;e^gNKd!cs^c{r`^U%d9|}XU9BUU|aEt+{nXvsrW)leTS;1vo)w7L(H79r_=SsnYr5 zOC7AjMzQ@-AY@JHtqBJM0?!AIBWN-6wRjpCUyQqhNWNUu+NOmd2vScibcEEfu1DqT zG>YyfyGzm%wma@$K~{#XvsXk3+1+3WC)O2DTBmY{*%O!RAZ1b~&_*RtT)3B9tiPQ= z*q6zVUufNg(2Em$`@I8L8aqf<)NPLvG?8l*E(TX>tM%8Oi3m9RIb`xL{y^h!&=Cqx zyFi|owP{`TFUr=$`(h&ra-2Ff7-*$bc6|*qNHXu_eu6y#S0>~*T;!ypnUE9l_!EGd z>4rO)x?v1_jE>7)T2N&oFAKi%k)MC^uMK0BkzGM=9KTImE$Mb~D(9g!%TLFGgp@N8 zRtTpYj72KMzsOT(O-22S3Q;fgo zwSZ2BstR`J`BmguW-@Cd4$ESP*ka2#obxdi(1LloVY)H8BB=NqGPzy5_cs^N9t8 zT2lUY+-udy%7osna|G|d5PFqbWqnaSEI`Q&u88Rr!1%YY0VyZ!qB5VTFZu7ArK#$9vvl zgpKI@AnHc&)*H<3cRAs|*m*C!mMm|%*uYICY)&Ms4L{{>H1WWAZ+z%$Q#PH9TXKp| z4Uzke6Sa^iXs{-M;CxIhEoXx!UBZ>2LWy9O3lLR?BV8=jL1$R;3U18kSml3xb^j*L zM9IGjGv($MkGJEY1$I#JAJFwt1GW@7y!%1(TbHj8HKq%gCX3_V=7f`{$4cgyg?!XC zHWEH-_g9>G`3*mSe};rLH=>53aa)X_EogUInfuAjb3nic*}ffDyIk7$pMG4fG$@P7 zs(N^%Q^}P7(Hcife&s!$$5bfphG)!Tfz|^3TkwGib)uWm5e6xL@=43v{3Gr*Vr(Cl z#PNyA66wbcYZ>z0r(N;*N3rt!SeEBJ$SQ&_1G%~NhN$-LW3!Aw@mG1z&E_(*s_4?U zcb{W^Fo55MP1{x4i_!f&khxC&CV50{*Z@&FKMBg_%f2K8{Q~&z>gY{ga_}mt+XSTp zgk0ZRf)k8TSUYt}3qWW`2AfTPGjMkA>Z&IPC!QbCz9Tz+=k7JsV|~iBuJt3FBx`a` zqObgsNa^VYlkXG3bCkqPue;PNf?A*D04^es7jU zaqTzO#G->)ks@{=9o+7n-14E>5(=CbMZ<6I!#|-Q(u(kRqSOol**k|lBjKBx`rLs5 z18BZcVl8#9qi3PI09!bD)@@LHANUX90GH~lLCF?j%d|TruypkzDvUO{n2?bKsRd<@ zBJCa>juG!95=o%k(2sdCOcCY__6KtcrR6BVnH+d}hVmgxHe|SA=&HGVwC2d*0`L6p zcSh}6`QJc8SQ~ukn%`JMtA%O00^1>xE<*HDmh)%HoE!wiMLb*?O61u21}<-Fdtc_Cn`y=66)ePl+gd6c054mk ze^97FFn-1jV&iB*eX=Izk+O@_-O(4<$jK-AxC9nGZfvDdksXNu*&!G~EdFf!2Z z@nZ%O&Z0uEU(4acpXsb#<V%mos+i{(?<;2MLzPrWBV<)d*tE`hdP`mrjkIKywgmVVQF z6elky91Yet)bLP)Eg!K!KW}}Am>}!^_71nr`wit+RHRYodM@QG5DOS-kfqzSq04uq z80wVx`Py&WR$`BzWfSD|5rn!GIKJR}8i`o#fp<&B7(Gq=ozK2tVlD&Ihi<11qQAXL zM7LXcjti!qbD*vis{_I$czO%-3M>2=wEWpg*!?`0%H7sGv8-)jx$0ARsB|@c0K~jDBS~B6!Qlv zYwxCd>edL3%tH3}sWre{`8tLTAb{8w5e^3<_zWwTRgwaS48|IIgm1oQJA_X9y--Z{3EEl6P>`l%M+Dje*pXzq96E!x*p&+lkQ6J8+%)zwSadhnqpciWgPx%x)YK8 z=7kn&;HH~s0_cCRi`d^lOlyq2X;L?5cU&itIlu6}1C6Zu!{Bp;5}|SpZW6puPDJvN zdxF(thlPQ)?Zi54?}aY_`QSg-i5LnqWICb{WKjC_;Pmz6^)Po5xMN3>qB_9XCKM@H zE~CeQMyRPb65Mm=EpnH_$r%c9Ha9};9zVal5F4y<4M(fLk85O=&Q&abe;%~5Tknun zF_xI}o00%~+_j?-HgW^_O*ldbW31ZHNm{L(U!^yCH;DhW?-3t9p1RpgsRQAN6DEOymf)RRYB}X{BhMbK0Mzqb$L|d;C>#)q4et<* zn^q2l*9F7kP3$@UzEUT&L52~b169st{0T&jmGF?%Dco$`5&ko=%$5Bq@#_QYJFaYv zG<{3OAfwLtH%)IT+iblu*{`^&5{{kP}<{7Y;vAP>j)#>W4k{LgE{?O@WlyFvaY3 ztt5DK@P{~~T{&GN)zA9Thc#3$H&L19*JI@#OZO?~A1NvmBDb^2&^RfNsnWMbkXoT) z2ZX_MTolgnzi42uI7BZ^)1?NFIyFSq~k+#_L?`TmF@Vth9vYH9)}u*>Y5h zTa8$mwO1<7Ee_zdtS=P&X)67VbkUHV_+ zv5;aK;(l7}8XY8`xnUu;&OHE?L6{eY}ioUJDPkVoGh;DPir2hUD{ zTqaBwQ)j{+1hdMx>5vG1fJ&mIW~vwOds}%9JIa&2*b454JZAGXf*P$YpM3ef5jiQp z>)XyCErLf@>Kzi2cZky@H;6Bt9w#xRBcEpsd3qrXa)Be^qty{TwFcj3Twi---enV+ zG31cFOa;bD-89e5ek_BzTt6XG7Z>?cpqrTBIDbqo5-%w82sG2y&}}NvTL+(G!>UPc zb3Y#%yqq#9|5Ng$Zq2M)_;tT8oCd!tCHjP%-enCpe!364g)sd_ava*hrssDDcNaz% zYroC;4A{UOMZ5fh*2&_!m_K^?u5YicRJAj5At_4ln}Ehpfr&58a!4_4b*b8)p;W`} z)TzLT=*_^UFX{Z@C7Q}l<80F>7DGkwiNGG8JIhqQ)fYu&&kHZ3;IN>Z#pElL;HW9a z??m67Ka4|iL@+H8#=mU&%yJ0-tJ)$sO2A+E!fxsjX6QIVyK%OxvpsrBsH0#3cS%x#-pW|yKPxk zA2C-*)|v&+BtaXu$zSZ~hyykitK-Hvs zB}i;yDY5aRav5M}B^&&@-~xe`hzkE0okF=)e1ndDtiKW`2i9!JRj?~S1&i<@4|zXL zqV_fk673$LRVy>}t!k;+i`iqs4%J!!HjjBR2uSTx1x<>u}ipa5y3I+0g4c9V3+Doo~o6m)>RC8T?c0ZJW2idmvY2S)U^fL$P zI(rfujxBm8sQT@f4fO$*njXXp1s~^Cg&SyE25pB7K4JL;R=YiS{n5viDuKdo_;8W! z1ai!m<|Qn|I`nb9R=|?ILfI26=C8{rx z9PHy#f1d0~^N-S2bIHfV8y*&q8NNo6s{=+Yx>C}yMsTuQ8bsHno!|MSb^v; zzBSlC_uj_UC|jtnn^-@~Voq2qcbIVFeu?_r0q4c&L;vHgJ3ucab0bkN(o#Xj?oZdw z7d5DXChrS;>i%Nu|A)+vZbVhom8X<^rsFW|2>p59qcM|G_>SPIc+Ig12HvLCElD4q zJ8C0;RWXU2VpzrFkhvm?x#;{I7fU*(8N4Mou(vF1ZRTzg)JSA}u<%GZm)~6DUa)mA zB5ud145)~c2riHKLM0I9hdUiPfO;|49+|O-K@yw+2?y^WW7yOlDrez!j~(VfJk+#6#(jt7J0pQSkNYhvRy4cc`yp1z~$(9o}KNd%`>Xc?3m>duR05WTw@M8}*s=2U2J?WQ!&>?N9Jo`waNqcnh*1#t9lH z%dKBvC&xki?;S1ZlgXw*ai*9PR@&@zwsuDeEC&sdF5hO9)|=nN08W+^JLDt` zeo94p{D@gbq_1s5%J>_1@vyu?(;yd{GHW3~LU9nB)X^$CS{#m(Q6YaGA=3)V*E&+H zy>e$Nh|+Tlyg{RHIKCA&-1d~EDrw}C#f4)7=lkcMBIX{@JF)@w>-KO~kl~qdBlV9} z*FlY0d&$m8Ny$6>0D2h1%oj;TRn`vjP8d0B%PYy^FX(sFmfh3I41LCIr=oqkARZJ> z#p~ZiQqo=u?XCpWJex5|E&+-*NtS&d*gsup)6k_628zzB zIxE{BwX|EPsD{x=2Oz?o|1f9;$p2{uca$+?af{0Cv`cVuE6b2l=O1oC1h5U2t74|6 z!|G}K7P?v+>ppOaR%`_^StF4^;{I$qWZ!&Lad7(y?$QB6d%#4lNN^A- z8Lk6OAx%4>Cvs^-B#8;EV0Cqa^QW$Tdyg9ouv%3QDg zR=dP*2RIf`Gt-Zg29-@$y0F)Mw^D2A5?TZ2c-W$^h=LPo!%(UD7L}3hQ+liU$r4*Z zM1fq8PPZ@0O1qZiSd-_qDC~-8yO4^Mo4D)mMnJ%G#vY`3M*%r##FfNST`!dai-~vY zq5b6@TZ_de@mPcsG|t=uwbe9-Sx6&~Ipr)vV(*pz6m)2ap{(ZNGD3GLf_z}*>9C_C z_2foV8>$XGX_*eq)f`+5%+#g090y6#IT8J_ahiDsz9^mVl9u~mMDBj6p3sWi2G8va zGQI;5;{W06Glqd8huZL1Q2KuB&lD-ik4-Vp!K9Dib53rt9La_m|IqjIur9pZVQzWP z1yTTr7j@@msauOHCG=RQlynZe*5{^>)Q&R7AW^JwOcw9@jsP6kLqKC$ae8x9C7`y! zEa1KsXGQWRc8Y09tp%cDk;@M7fiTjyS?v?{mH5bw2g)=GZFp>$VLGQAIKS~$kb8?Q zb7%$`l%H6qR-2R1YDSd0=JW@@u-%2Ae!s}YEzwo2A@|Odzfrspq;uTGei3cmXU+Oq z!ROZDsLq(z_hrB0_bhS=P^E&rnSSatPQG_mS&(mU<#qa0VA0_5vIbxR)X&#UU z@0>-!IFFt+*TF8FITO}|WAt#-V=gN1ru$u&=c$&M?lwDj7ZS!5o*B6gNrdqJvC&q0 z@Q3l8{tf-e5ZZkYEEPwoit`R@?WzQt`GhRzQZ(|oLLamRUAf;;x=e3J8hvMl>_6L=3 z&`ZLy-+EG1h-{ChyP4ZhB#&{jdn#hdWE*KWG~Licp$b(1SzD3$Vw6lf*q9DVTz?_z zPHlL_JUT_2PfMcqzBI}--p+#dYEFg@Zr=_?>|Yd0k5>{9q6!BAvL)qpz!l}5_F28e zQlR|Cg>wB~g|rtIi0vUjKZlk|6D+K zR*^P3b|_~B!REj0Njb>YHVQ?68Vp-aI4-3L?G{|sEH7_#1e|!oVk?~JrR%*ZQIB#j zICeFBnSm)ynfQqqNN+`K7<-55IpOV|>` z-X5y(`?!q4AyqbAvJGfP)4VOlh!rCtU@5Qi02wc)y22x?Gx3FQ{`^90f;8EozUA-@ zrs8g#J{IGLO;`6%aa;XDU^Krh^d?Q@@gvk|+|>O;_U^nq*W@`$Jaovaagi)XLqMrd zbi0}G=fN5X2256ESMRcn69p-ZXk#{!DyQQb|jAZvx%q|Xzk8`gT9Unpxb3%-BGS?Se`xW3p%i7!q{!o{Q z^?i+}kRm`JkR#z3byx;(8XbQIYolb`d;s(ZR9C??Fc|3}rgPxyT z>@Ub`r@Ml3QF#W5)^A?JBSv1n`2U^=nbw1!zzW+dTqgn#F1;cDYt*+TsMJrjUp z%Eva-+e6Yk;&{c83`$X5|8 zVo)J>O`i0m(Zq^bF!@3;MpYIHYwgeqPMha!g5{L<3)&-31%|R8Xbj?kMo$l5q(5B0 z+L-I5%HXqMCpD7_9f|sESwnZM@tkACVM#x~XkiNm4LWawlz<%u1pN@OSjNzx`Q$(ud9URIu1+rh>k0bVr~0uHn^Cy0d>_kQ zI7piKQQrG;&psvUblViIQIk9#WWoN}LO0Owv^&vDDWJ1iF)5B*;*9n7)9`;C4+=E% zAjUWX;Ur*!8vYDUyQ>ulyk-RbqX8F3RjQ9yWq6`C5iM|teB$LfckD1&aElk+A1I8N zSJu<6_Xuk@IcPQ#6Z#ZjABJu^s zF{u6?AuTc7;Z3AEk%geWtoUgy2yrV_p!tmB3Qg6AGNO`&AASf->|^Z(yuk%?69;kG zj|A!O1)cr7E2gOU6iv@T_VnHGp#?3<)Hb7ATk2XIfuqEv2fnjL7>a>9B$ZUb%@4@N z7{5YuJhWq_x2=Q`c~683)hto<$}c$T7J~cFqa;0LNQK6ijV@l z@PA)6sv8ZW_3g;A4ZA(>w?#i0uZuK9|4hN^>rypWcl@0<*h!+@7eqvJFEt---8Mx7 zit-vvfyZ<{B+yhmI1OIB;nTt29t0tBZ)nV^FjN17t2cu8Z;9Dh^N9gnt>zn; zmIJ45+;}niv8qp(z)L}I&cssYK9HTm!rl%=x-&H!E_j7Dxz0vJsMk#)W+TX&-|5+X zJaR6@do3S3K4cz>qmldtrDI<3Pi;I|THakH=V`F7i`&HEn^nC5l?)@3HkiXbz2U5a zP}&^2BosEibzfUdI#s3j8SqX!cEhdPV*GaXDc{4Val3yrC{cT^RRhgszc-~eg6$lo zl91qU)|NvDf4UVlOhW0mL1hd~%`1EB8+7m%9tOX4yOnI^34-V!iFcTQnF@`f8v##@ z;VH8nr_mrcd2I@#f$Sf2F}xpTUn%B$ej}=%#GV)Ob9pf%F&I>$f6NzBK%KW4mywg; zcUB88Xu86RRzI8bT?u)UdFDC|sXALv|MC$`@q#*l0$W*BRK`@%(!0|J2g-UN#vvd! z1yoPZE+~^*66(J;{mFzXBBxoKV~cg~%_*I6`598jAA8E{#W3&NL#HfV-hZKaLhM9B zIx|mI%m^r0YzuDTjFD9BhekavR(J+^=U~6)ln%l~+|dV_{>uc81Esv?7N|9R&kl|R zq-VHc&yBQ0dJ^Ic&Z?25VP=!$f;ZujdDDo&1Pa0*t|HeZ5_Xs`(@otQwI_cmr`jA( zi``~y=A%{SO{`{`O&K-ApbXJWQ||II8O-0tRht@_5E z^?@Zx=AyM5#qvexqa3+lzF%4u&(=@G_?)imZVMb(Qdx}R#$ZMA8zbOkTApG(|1&g0 z>m6P9F67xrTPA5MD1*d{yV0|RQpY9tC!wru)^sO)us?V@NA&QRn^!lH;6OpWcfSZCdzWnc-9&iW_KBLK`x*mR zs2&1o;;Py^N&@ajY%uA_m%IQ5Z^`Zira5%3%BS8`Z6RS*+XA51jxmyYCgd{D0n%c~ z#d+PLG;xkV5A?x62yo37{mD)0VJtVkLiO@AwKK(=xb#@8JK!Z;z6!#Snb?P#t)qD; zn?*5*a55zaPaNqK6FKG~83MC^GA=k)`DxOq)sT~o!i?^&$L%@`oKy~65Et?#Rej^= z%kvGzb#b90<_PIiRgF$>M8#5gpwvDX+kl`+ZqfLEYX>e zvb%)~YB@5HDU4`V`o13b$+O1irgADUXh34S@Bw=?JGXi;N0|S&!B3Cb;%&^zn9<7* zHVb*@5qQ*Qin^PlUB$Z!$^hdgv?@?Zv5f_;whwFL^uvr_37{X03JIO=KuT-p#u2Pd zNy*y^Kcic2vpndKdtL8j5Cu|rO@zwhE`mXpQdbG%%Ay(hE*a%$9m)*u-$>xlx(+mK zMVZWBy#EmY3ikwHeyE9inNMRt_Zj__^O0Ef_6x+WCunE|casX=M@EY~Hb(L@nu0_y zu+}d>u7}aH#>}kGwy5&!_A%nQ20#Wnc?3`Z0D(bnUv)`0r~qSB-Z7vv&1NuawAWj= zHdm^Ts*G!<0UY}A01DT3<4fj^$XCd_|<`0b%#>d%w&Q(QLdgl6#cwYR#E zJNCz%?!J!|M@bafshhkw$!K}+q!7>~!(GFYo=4s1u>a&92k<|yj862f`o^ipg ztwf+k*z;3Ob&wzwYRo3RK9`w)J>1{5jCc(pLG8~dib5{0_Kqx9fQz>SOWaK^LZC0p z?c2+Efw=p?Ud*Y=byxIWZzOTrn;bQQAX8KPC{lGPG&~3LkIRR%fH+dI?Ry|b$OM}v zMPKqCjg@-KF{!9Lpwj4*=w3jVfx%)+>ALVxjI7`y!tT!>vb*~rN(zvIjKOWdKUMm& ztNNtFM;z(eEh-y`EH7F;Pps(+#}sN+;LXNY-&K+7aU}-7*zZon14O5ZgTcW&+>;bA z$XaOv!XSusLk;1)1u5ASFec31f;^(iZ2rR5ZB&U7TnnBLGJb`LV2eWidEr#Rk=SCD z6`4X!Q!$6R0VZ3#&@0{w-1a1 zY}bnsQk2~zZ(O2r85d#7Oxsg&N&!Pwty}+?)zb?+sIWa$`*hT~W?emx6Fs^yTyCup zQnU7WouaCQPwxFIpk4yY{a%EXO07NvSB3*P5yD;ow`gm-o(~J~e8?f0BU{e;+9ZQ? zh|Of=we^c9JMLhdB+zg+ok@gg+V@YV_4+|AFSgZCV-+k;AzZ5!gbk@zEoXBE z<<(+_zOVhc_>ioXnNKdJ4+>Ks9J;?dL*y)T7|H5pS9qy1WGh5#qUY#OpdMc$*3-wV zZp9%xj=J{WR+(Ia1tSi1{*65FPJaU~-$%}G>+F1pfYG)*G~S0H)Z@&GfnS!KNn3p! zbnl@OR`i@Vd9Avzq7{UBN{;2hY_q9~Yo#-Db!a#<5HCNM_*~z|2XwUs97X7_Z8Hi8 zY2kNi#m{@rmz$NxmWb2JDBRz3VRLOZFamI$uidcT_?~oI9 zgaYxq)=xkvu>M0PF!ld!!>E>@+Ks&z(ocF{>1Ti`y7XBtz=>Eyu^yvyNh*pPqxYCK zPOajoZl$^>=EfN9BbK1O3q&*-Lajlc4tGRK55k^(x`8l^pY*w8^4od%75sewSW-iz zW!0X@v$&cDuuK*<$T=jE{hbJ3!9 z8q0>=sP$d@4+el6OF>$(l~Ui^F6lhxmmwDhEp?3WnI~ncq-OpsX`K=%e4tLK?yyYi zVDI#b_&XVwSn3tN=N91xb?F(QNwHD>0Js$PQLoHA;zXwkkn;~ww6~cEbh;wvjc5Tc zY0h6>gkOc9tR*@QBSHRLnG41(r-62p_>En@a#^=+zsPdrRo*8h8WKGMWrS9l-v4&T zY?i?+HS^>R+gq>F%aiDW3JBuKL#Y0TZY=Lg982OoV6+fHWiM%6aM=xm^yr#&u?mN# z`g=f+cvm)|Z}!Vxi6@XhJ?4OIYwh!U@rY7w0qL&p@60b9*NoUFyTSFhR3op>E82#9 z+dfs~Q)s``;9OXpyp)>zh1EH30hqW!?jx{u`#-xYXs zX>$`4u?=XNo|ZM8dbQ%oO+~amMAW#%r#PspOS3)mgJ3sRmnwOgAzM2*4PBl`PvDla zOkvw6k~)u7?%FS`f`w7p!3LR}q>OUhG?n z&ddQHgZ31E>j=NtZ&+>pF*i>s9JS*Ry7v3P`qJJ!YtkElV{y(*;I_&=vC74%C-ooU zn_>luWsgvLes=hN5n$!8m7E+-e#%#a<|J?m5y?JZo6FVC<0VPsBb~qnsd`G97WUtH zL_!qRtMMnlzR<+YgbHjNbT6bcqeYV;EfMaMAp#g~K&&sU3`Xs1nHBWt&)&y}NH^0@ zSPBljHy>%-+w=d!x6JjQ9of;u28NH1h*84Y&duEAzuC^%&0Ngf)X~iRe}-iu7A|HM z?*Fa+^DVP-a{h1ipKqCynS<&7>sxLEbt&BJD|V*`)g*yUbiVrO^(8J>u-Z2-&3 z)xgQg(K#I-S7FSq4g{tg0jPCHS?A?t=F-*zu#+4aTL0!WWzz5Ru-B%pOE0leK_?iJM7x3rzOZpA5NAB9Lmj8GB z=kAB)uQaW6w9UdV>qEennAr6;u)(vP9FPx&2L%u-E+%bYaxUopQ@%ACJpHeI$VGrj zsh#`{&^EyB>n!89+H@@dSm=e3y8;-HDZ6`%XcGif1pw|uK;=z-$Y(qS>?r|wj{)!p z0p=e7kPm=^)b{A+rz7ji-YXztV}5LC^T;qlu)y8+lamN((elKOgwo z8Pw$;faw8mkD745i6PjiDc#Cx~u{DXd=nPOW3eo$5hIvmrye{{%ecES7ppC3k*qO~PW|Yi<8xRjp}eV@`ry zy1&O<80fsQZ$z}NiYJ4q@Zns~QjN?4UqPeBY*5A$8v36~TIYLr3YhGekytigo)J6j zfm&~2b7c*%+4p5@`aLI)j|>o+h5IB%nB~MyS}$|CxCLZY>nAVxDb76mZ@>;{|HGkN zGmI<#V4&4b>Dli?@Nmc`VI)BYS!Va$n)3F9FVgBcqxf=#9WF>5v-z*4v-c~8lfDR7 zp(!H>Hjg`e!O{1z)y?dIfZ zHqx|pF+DbvFc5r+rT6T|X_J3qQ7ap#Gcl4R>oykoF9W;oZQuc#f6gDf(f*QphC(KT z71c~`K;%6c7t}*Z>|mrz``|J5)%42fl4ahI-%$pSt=v^}h$da!V^-eiX$-UbdU%4+$6mGLU6EEPJa+j&Y;MJa^%f|)E9YfAieIE2p(rDV*N<$>Q z*O9tKPL_T&nq?&dY*aiPzLBrYX*tXc6s9MDLm@SeS)Yd^G&9gq*ra+fw2r-UR?kTz z7t7ltzu5$rzZjy>Nj5Hi>3Cu;nfHrx^%vn(W~&J74YYL45^GVaIhsc(26bx$E`zR4 zqouv6ZI^r+XdV9bgYz|t6fqt7xI3Qq7Sw7w>Fb1I)*OL59@Zeesfo+>FWvtELqNR0 z2k9w*`^*BzzTmgod+KaH(y-;qN08ebNgb37k;c|Q9t8x$oh>>OYlrWPHg^5N`_=r? zU+tU4bkk%kh-JUBOm$)_lvR|hmRR#RXz$+G+jF96$mL)REC>D6AvHwaI&E}02&z9J zeOe=34?5nZl%oJ?t04N|(p!eT^%#w*2ls}vp5vT;brQn>*NrtFF#I*m>KxL01)zwB zJ|@)h{Uu&sX4Nq(m13hYh~$FVWp8n7ute|ZbKHJSA+M?VRrmHRjS^Q7Hd4k84a&m2 zFWdiK7|%=G&i$LRI~V*`R_Tw}>H^++p^I1o^OFWw`L}g5Yf%wian9jIHM2YF$CBx0 zkSWT5M7wxylnw55qM;>wSJgPj-X3qxo>qiH+`V%He?2)!_+?$HE%z3>?rUJH@Y~Xj zuMVp%m>#kQh}Ban5avp@%7Z{syP?xW3~H*!zrr|uYqqW&oUX5B{n2y5*tr?!=VknI zqo|k|17#>XL&d9lDtsH*N}w)Oqqw8P=hr6H5tvsa zG&wX>Q9I!4F!1$Td-ZDsaWw-q^Nm6vV<4_R?UrKJ>F(I*7?b=jvsPS8>TQ1igiowl zw3y6W()wu)f(9TUFY(d zvQjn&|F|OLB(al{(5jvtyh1@I1m|l2Qy0!Hg)B7YyzjheiZM0nMSA0rR`>dH$aX!& z`tuQu1HTfG#pIK5dWPiwWg-(FkedQZlj$v`RW?yHiWFC%Y4*$?W|&Ok2S>WDVm<)= zMcUYXC0VMv4lO1}236OUi%m&+fJ90odnB^B=QFRrK3U{hc&g2(z3?W~-ictE7V}p+ zq-=2%s_*V;kxde%E=JtLlchdes6V5d~wGKv4*kczrwok{c zy+>{b6zs1+ymvi+ou8g!HIt)dmq=YoeO*3xsn4C-o~0ZpH1WPHYOvK~tEAsK>8U|YH^eYd)h zO?yj$ZbWz$^aPuHB?=vsjCRtE>X;8aLr66)$#G8GQ8AUpAU%V1v2$Mek&c+e--ngK z^14VnJGDEo2$(v98xY14Z&M@mU9%e?1sC4@%F>{Mxft&g+Tn+^`iOQCzHo2F4SIE) zW$A`~my*g0Ipd<%SO?43BY$19!N@AQdM`zks{>gh9YACgvxlV_OLneJ%B~y74qYTP z!b`%#w%(y;fPOsc8I~(A?)<&Q!Fk=E(=Ro=|)$x$Q86@6H(w`Hk6y7)eAf7#hEtIgQAHA5|sjN`e68nU7FaZ;W*HdKpP zvu&9L^je-68<%SZ5pkc^{DC;`7afp}V$1=^7tZc*7Uc&!hUd@abkr|x{h)p@4bd&E zcEdw15*0m0aHb(?iauTPM>hPElKEfE?FhYZDf8iwpjbJfD>p>GGbXd5W1*a=`-7vcPUCCIOJj=F%dh#Bz(PzkA*5iYB%#l4_z71QLNp z1;fE|;yQ0ubTdDWb>A_~v9$Wr%R$x2m$}IucGNR=?V0gh;E**5e9^og95Vz?+G1dH&NO zNspX7v9BTKm2|w46f>_~+%!V+CGlcIbL*+vn!m!NzAFHd(E z*1!;#Sj)w$ssNhvC#vx*!A#d4OD#4bT1~VHLm$&jVN7F6dWe~g(wj)hwYoG$8i|ie zAzNmgUJXtPELXNUr0X!DK%7mT!`c!rm}C2 zM_fv1wcIvA61ZhEbHUoh_AxCk$kZu3xM0}KL-5w7`HRF#@u2%jO5v^K8m4fvd;2!I zG~W35t(3k)U;OTCFmF&$br@9ih@5?AAFx9YkilRf8b&qj0Bt!aNZ&QAJ!5rwR zy>^elr+0B566m!cF+Jq$Z?mA+e_lCqHAj5^b!p^~>07dyz1dCPR4i9tyHkJYhqD_r z`znkoBr<`kLLFN%gE}x@C%!;YY!H%vVJ4hlKRn7;^e7yOh@+@$J=;+`N-RUJg6ki% zMExa`HwHa-59WsfBUZ9{rX^{0Sl1!(bKyV&ys5FI9{ma%|}>j8-nvFUYY1vlC0 z-gzf-%}q&=Wt_$5li3-%*$POLUY+&C8(n2h_QW26Me=}11)N{_UvSPm4~r;8mk&<> zlXN}9VML$RS65Xh7%*6@h^~Ti0RUTb>`$d2vPMHx{mPNb=HE$X*IJAd1!O;-O`@qi zN$Lm7y5ct3eBBtCOMYhIBLjfO93uw(2wd4N-JuFKA7mJkmCNn+-+AyvB!9E8Om(q6 zU2w?2GV>(LP-i>H5^ra*nG>pc-KLl*bLJuHdC{&&oz0JgfN^M^p>dQ~D{YCv*ui41 zD3dpF!>HK_bFX1F?JkB(n&5nzWo5nLu0yXW&vn)~lMDFjBQm7JyF2`ZZZ`Qbc$#+cME&8%&An&ufPN>wRo^?>uJA zRj!H~osf#TpJAvAY=tXW-Ua>V&*Xs6v|^%jH+X<4RDe0?n}VK?G^O(C$Q!I(3ImY% zzz<2`xdaF93KYzi^u}B$CTPuj0Bt`fq;`4+L`Cg8%^c7XS5Y6Epgp5)44sd?awPer*B27nRVS zElUH`yw;9mny*LM8Q z9(lO&Y$*B)%~9XiiW0}AQ8%2MbIG&~Gj}uyb$z>$-8~p{zs&%?V;d-j`sTxcBRA29 zLY>M*!H&gD!5R{JxSv8DNYk65C^QwYSJ-`wO`L47`0{3CRZu8LP!ph%O~w#}dngor z;jslAOKb%QIv&(iRY=uTE{I8txsY}%k5u$0wIRT6OB82CyQCXO7#q@2hDEYnR@Vq7 zR$_l79o}K7xlZ{y^DDGDhi+J>q;CO1b%`RsG&KTV3u<~70(B0xH&(Zt#^%hS-J%`F z;D5t&=q~gdITXeIE;Sw)4U<{GcIr>jMD`qVCM{l7H_L6vz}6ybJ|y6l?*z#TAEMWx zBFCHYuZr#?)J$<@Sj4-?2X1OQ^>nP`N;sb~&`52eVzM)l6GCo4*`&MUBot%?b7w<5 zHpdY%2%N*$u+5Mly)9Vq=lXUxrQ!3gSRh1P_zrMC6du;RH-sxf>I8_|H(#|E& z{(2TB_jgb;Vle_SE?du}oEs2Ksi^tW#uYx42kGkjTFAvLnl2z_!Yo z1U1BibTO5Mod$0<@RTZvrs3p+)btD;dW7Y#Ua-cJTdWt3EDcnniyGu~=D#D}Zb`2KTeb=bpXx zSAo;o=vON!wDCvoQ#2s@mPn2`>P_6!3_EAIdN7|Mp>9$hGZwJt+JjG5L;SfK4{jd0 ztC|F6o0k5Y)NY=A>((`&4jHxbbKV#vb0;*==l7>F$5UH_WEdns(UQRn6m2gz}h zix`EG6?ajneQD3it4f(#+2YHEg9^^QJw#y#jiu6+&SJRA-5-kA$s;aERtDXf+65Cv zU>$5?j3(l4EKyw=$b8z7>L{KxZ$I!dT>Z=a2#ilq#& z`-`U6Btvkolz^yDV@!%*$E&BY&;nAK4LJ=Jwg*DTf>ki}E4bKTUOGd(<@%aEA4PBT zFg^0qd4(=;2KZ~t;ZJ6FgjlVMk#8Ve@ucyBAq$wRf$|mP)^)iI6eDnSNX-oNi-v5v z6?}}`oS^>6CfVre?*cd?%Be1_=EO2Dr1ro9i3PU-vaU_%G1dO+wMM)OUlnFppU`tX z2LYUPaj9zFCfC6c<_#BJ;Xzy{wJ$+92tR%4V}4vLxW`mYVI6J9SJV>(2j0Vf#uwE^S7AL<`+3M zN(UUh2GCE zP=8p)V+itbv$ZDva@{9^zjNjj{@@h)t$N;xG&sI9;~>PVdw0IAmHn!z>&jf%GrX{E z<_GOy$wuAYHq2!yiOy$zn^kwJPv}e`5^)au>|%NL6$*{O%I~HiPpM+~i1P?6*DI+6 zZuG}$H4Oc;#Ls(oepVv&!cS+`7bhZP_hW;o1CG+YiI9GK{@jbUf-w?Nm=&h&ZS~Q} z_vyYPim>5N(V8r^3Vv*R8WE)JqO?}#j=iqAo{{=PwYl`yl;WD*fyj+cq>xQqT?xkY z*%Tl{>Exow7tIaD5`|cz7cEjkEH7JHD+JN=*3~3?s13oWntC+FdtsNz&1In*SkiEW z8&yvkTJ9nSWOgdw3?6jkO^fKhnE=k*CD6$S9CE!~NP3^PLT0Q-_4-6j6#Je9%+hUdNoUe@zliy%Vt9E&(RQ?9vSgMG&OXo0v4mnK)Jx{GUQ*w(wN zq?iV9?8z&=W&#LmB?Tz^_tk$K7wigixRbC~<^8yd^L7`5;jk8jN9=l|M-HRsY+|r( zLx0*Z(vSj;B_LmzS=3?AbYBN# z71oMOO=LmR%6Pl4V&zS;2}(wZ4^&Ap$31h!9hDPGY@r~6OclSNHcDm}NB5>?|A_lj zC!4!9+UadAND5lYG#v(&Ow2C-iyABH!dwr@`;YDlZW=~6n#%(xu~JgOsgFmzQR-~} zmnDMN2Z5*J*XnKlym&lbJRyTO#$Fuqdq$TGhXQjpSlvc7mOf0V`=Rn9Qce&=o|q7b zZJjfW^|JgPc;^=y_1F(#!X_0+F`FM%zi6MIzEf#~88)#Riw4~a{g!jcbSS98Rw)je z;7K$+W~z6B22R#y)$o;_FY;4tWg@=IDyTGQIiC~m{$Pf}*BbImK0!O#q_mRx9ay!^ z=nb0TVD~lfY6wIh2#y86{%(8HZ4eMuBj~pRNqAt-Krp^s8ZWnfI2iU*hoa#L%4R+Z zoDfg%-FvXh1ONy&;FPGh-BeI$EPX|?jEE?$u_pSdnWeY%oir&Mya5bs)t(XhnB#^aj$1jBNg z+3mOQ#Z91Q0NHS1bQ{5yV-?cRZC292T&-3M`-;@RxM^SY*`bhwl}V3>JZE-v zLICQk@s7<4nnyj4X7Yo3zS$*n!l7Rl?3wjPXO7Z1eq?BYV&JM|;iy7MG-Hc!E*i93v$Tm&<=AII8U80pH|PBZ z4Y<-=v!d&v(m5qP>Tw@z**ssXyVOoYV@mnbq}tBWmXgd?B5Jax7+*3Yb8BK&wUYfr zHx7<|>D`ZW{z06{qRd}q?bDZ7?8P0%tDTqSvu6XTD4AnG)ULVMQw+JDY#;Bq#W_k8 z4smA4_b^%0@jcV*V#5_|l`zH|bLjMOsQQdT0t=H;)gt$qhrqj)Yh3E+t)7= zrV4M-byMvdlu)6t{!MO?X!K<~0agNRQA^lwT>Iv56T%yK zQas`HN80Bwd)dfM^lo9i`UF)|S^-*k}QM~DPwqu1TWr#P_QZiAh z4v$7B-DOI!NZ%u?uLmz_%9;>ZU3L<T0NF$at_@$A0`LH z;2LwrlKnJke!4ow>j}7=$YyADwA+3K5vzie7|3>Yza9wOI(aw^$n+%BE?v3Fv}rVY z$WtqD(|KauzRxqCxU+qxRBdZZbWME(<(=feMky7cgCSujjHiJP;w5PnCSIfqyrLa8 z_ZsgQe^=nOG3(7pOLMx{DH$~&it93R>`LdqWl!Yqzp9`PCjS=nM!$A2tVVWi@(2cB zEr?`Y;NLEVKJs40R)C447r2Jv+I3FT0e56RP}3cZoMN=R+)l&+t*c)*UPX*NYI^Hk<^hz zc2}^f1A~m&7`f2XV|>$)tdNl)xGK$f(yhy<7$9yUaG~EvpA4@8Lw`Fsii8kKMhf!S z_PO5M%yif#^5C%<*^k^sAK_v25FHi}iJ{!%M%gUCp68Nlm2KK4x%YmTL|!A{Om~~r zi0MVt9uV=TJ)SJxO5C!Ru80tX-Syb;n-;MlfI43Rt9cg4VZX{;*NkXgm~b6^dOyA{ zlNn!Xr$Tw{Fsara7-lhIPTHCeYJVXoD0w~P(X=^#3Brx)6WqylF7x?vk^=ydqk2& zSV{2p#vEgu*_k!dQvaqz29I8VBSr)qr)#|msT%Ybq&|5^81M8Ye=eDHK+`kvFLHLQ zBaWXWED;moZneM9NO;bu+{J5Gk?FUr%sgFU;#pE%#uTrDoW9!{)Bgq+Jf=5Fj>Xo5 zoH%jYxV8mOKg`&hICbA#zg^q6boCQmVrS;02yofJ4(5DuFqU4e9b zy*^6bp&m5my>t&ikU6aBHIo|Z0vFO+w7#JzZxp!jjh6p0m6Z4p*t|U_#epwp`8DE6VK=OcZqtY@?wn%$X z#n|V!z}jG&Pt*#Fjx*f2X)rmZuBg7n3~c@K^{9axozFNTKVIO43U+g6a0n;8kRnk& zes`oB#pZ;CoZFlt!FY3gPIk;0mCy?gjX`dMD)y6Pxl)Gom%Oq`wMTVjd+>Jo_J@KE zc6d3vw}dX|6Js?Mc|B~lnfp+XYN$~Z4)R@OUkF4mP;5d8&=ERg_A)#k5dtPG+>U8P z=GL&5#kx!BQVa;Su6Ufws5zA>@HbeNCiKyy;sb#It|Ry!9vjX!Vm2CrQH0e zjo30Mr`U8%K8ethBMesu<(UclZyWpEaiT=uvWR++hC?`1Hr8pmWFT=D&Lel67esTW z^+hqYsGKR0Z?0)^JLZwX$-W@{^xPJfB_Y&87`-I;ok>pW;m}TkS#l?XgAdCsm#Apt zvA&d52Bo4yodLf<)%~H4AA+g?SVB|++BKwU5>xNVLQk`CjO8$TJC#~POsHzUsn-M9 z$P;u(7#^Quaz2w%n&Zk~qpY|@1!Y+2O*&U3dn2KTVpE|ruG{h*{W31?rpKOHu7eCM zS6DU3TR>*13EeT@2wUl~YAvF3>dfozl|jmQsx?7YxBC)_z%gjUevE3F`Qd*Nxdpe9 zM6eB^FJaidb;Dp4dev8^(+q9-Ia`F_ENE=zT+aJr^`=197-iM5<>i(LT^iUnSZl6e}$fyYNjkPtv0ig2mOWRg(f~ z#tJa71RF_UI1Si!{--Kne2YpH%!V- z<;qGZ&?4W!WtnET@;f%8>jj4&J!5jO{SjwA?<5=zTLykibd1Oab)6{mH-?K)>UA5$ zC*aL){-<{l$+MXG*$S4E!>;8K`5!OYK@=It!I>tOW7TOI%d%4>NR}2Q&Wo24IBdYOUWEIjhTmG)V@E#j$fnIEtI&78N8DM7hYWE7Utfb`EJFARM~P+AB`#&Y^M4UF z{q6k|owPZ{ZYfpO7V0P`G}PAg*6pE?BI8?uQZrax`VlcALfbp9q{xuGQFIkEcVnN! z67mntnneU)7d~yts~5*KXA~5Kx`uG1j_0_XVaHAOV}Lw7uV?YpT%jK`^j8s*_OIp% zUuTs%F%6f@JJ2~Q>WoR%=$MgSq6&g7yel3kIoZ`KSkwSmK1_^8lOh84XPUrx{*p84 z7cS$S6+YbBhwLX1_k#&HTCr96nHXAJ`%Ho=zeJMLm)LEM9v?(br)@LhiTF-sw*l>~ z9=@P^yzM-v2%Bhgp%C1%o~M-WAygqf1&8ZFy7|MXBB0ychM;PC)m-Aqviv>A$JY$e!0+MCci881tiJm8;K4)d z`K-KLwo00P&x=%isf4{Gzoyd+OmH%P*1s>OOZ3`IYB7C9!`kQ?9v?M!=rP=&xSQJb zwX>D9*s4IgeW@4?=ULhL{?yIs z^QhDb?%K+!m5WFbnsPD2VxPEJ2*MnGe8KS3%h?F}!;9K7DBrr&+Ria4MZogVzrE{9XT=}+%GwykZ z4Vd9!UW(_sm{Xl{T)b;gY|B>lATcQewvxC5)z#${G(Tq9n~7Rs&Nji3NmfSjCXAf93N z54^3QmPeN_xr|aH_T8E9p||T5={zb~53N5o-UjI&wyHZveNs?=+Gj5Y_c3*Dqj&IdW`=+hd4gh-rsowOUgv(yeqvbP6b>xDZ(cD_&h=p={J# z+x%dzX)I>iPhKsbY?x?iTusXuAG4p+2&as@1HI+@LP;G5xRAdIEli$1@P9$if(CEQ zR&weI6#ve0jb`C);%_3Xz%xlTBL&LDggRX<&RXAVDMS`+T1yE`6dkyzH7VH-u8yri zQ;G(!q~ml~w!c?GLLP?MsH~sqd@&(o6rs5Lh)mt2u;U#m6;6&b5HWhKF^XrvckB=| zQ%HpI6t!n)Qr(WRU0?*4sKHk6{Nehln$kJr@7r-!9^cH@fg~Q*WJ@oP)g_#EVM%Lb zNd-?EJ7+j&?-EHaksZa0xRf-FCK1FppOz(H5s2G`VfhAg(PMU;dQg_+&Qx4IY1lXK zpew>9u)J`dbF1C;^XIDlR%QHXgYXxk7<04e@oAqGUyPopc zu5p8>2emi(#t+r6Uq|V65-0pvtizhH{Ijq8a;(-9-*h<=Z5bD#785>c{OZ>iawHBeS0SJ{Q;aiUVXXCkM38 z$&}cU&&eo4@>$b1V@17Lt=fSjoix?yiJ=PV#R1ojVw7c*u0vTwPq;2A)NtL{GeHgo%b5Xhz4pBI?eX$(ruo4iO1;zKg;q$aVYKFG&e{kQ9rL| zRx3I#lF-4$aURkQ5s!OPhbUdr5k!hS@ib8c zuDp&8wMQRpq%cb~JPVr9uW#ax|P?8&WIzH8>S z@~X~m!kcEkaB%6T)C%z-4g9idF?3eC+@`6cad=Pp#*?DrWG*qt>rw=gvN2DHHz@Nj zLcomXz~)e4^S6+v)}|dPq*eL|{dlld>+=HjpspD+!mYj0g}EGmD>QliMV^lQ61*?! zQVw{(>#E4g!&fMytt_eES9OJifOL6NaV8o|;p69X)j5(3@kun478CMBZ*+wRl3Fp|{*!h+3^@BW` z-1x{AR0vAV{lKqZ+=0PT->4^kse0%WyS$>@bFIo>c3HRnJgFb>Jb1zh*hs-zoBxT9FlD%<@99dl92L^{xS_bT?;Xy1ffN zDm3pg7NlvN!dW%<>sBOpz}S|$1^h}R%Z&tS*7~@4&oU{P5k2)KdkmRwv6eKYR~g1> zDuZ14+5QV{dF9eCA7Ar`TbN-RUB7I#ZLZ`hzbJQU{6w)YY^*Ae=b|IBNc)0iM><~&bXf92`edudjD$>(n4%U346a^I z1g}A1#iqLB^OyH1n}7m;iTByV>c>;t5xT*TntBuz9^OPTD7(9&f#)SllHslQ^AX`jw)LOG+ z6yO>0^;_@=TET0()f7<9nJWQZbyEJev?O~mJ4Kx!tUE04#)$~OE0&xt`qZ=sUu7Lwt{B9X6uf1ptc=jbg1Yzs~yQ$x~o)|fb( z=gdVgS7)IWxfLgGg@=ZtU69y#{8Kurm2r=(U7XtP>Vp@u;zXPNJxR2JiyOCR#v#Hf z^j-c?HeHtdypiU` z%jqt^I*b*?IaS02lPKdkxd*-mkT{$jNBwyj8w03QrsDC*~{=;riNdCr8>6BYR96H1lR5FL^74e(9ZFE%8*~|=| zdBW5p15@VWSVO%;h&Fh`@t>txsl`~|bZvPzSwCC{T#}5_bwB8Z^SIuZHY(Bb#w!}1 z6mGC>F@8m3InP{{2TSJrCpBbC`e_H?))tlUf2pcD`_8~sD^YuEpVPN(Q{n}7d<7z) z06FrwNtp%aDp-8l#dC~h9stg;IJ7Xjv;RcjtC(>P`h+8yi6%3}D-n<#ZuV=mUu<0Q z!w_}60rqXT0u((?HSuJlz_>&}y>fwou&|PzxY=joY~ZzPp#yot(+eMu9D1TvO4^MJH$^NE{sWS;^>82-!3!FVxP~0#{RLmm=*=r&95EHZ z-W)?#7ZtVYkeuXWU@M^&`g9k`9x7{ZG3r=6Ar&60b8O3$7=7;Y{XpqVV@@t$YXOdB zC*u%$qS}LLVV&S3o$4qsI-`OLY@!1iXj1#-JG#5)`5jULK}gK|E2#u%@NPe4mu2Z7 ze1VH}ZlO#yd44Z2UM}yGRrBF_cUlx(M0I+Si!zH|^kN;uWL%}`>3D>&j@cMa;5e6T zW@|GD-rH4;tUo0)j7LJ}%a(%a0<(93C(IoU#NgNJO9$Sm>_!l6I3$F84@d=lrZ2v< z!5h1%EtSom(xt$WTeBo5uXq!m_R6T@l+@`Kg|R+pS9%vy)E==gYBOhc!lVI``nqQYJX5uDF}raS;<9o z2f9@NyCDSt~X#^g^;L8t%yoahaLVF- zm*!C~*?lbJtIS9$U?Ao71M^so|&5aoi8Uf@amAMQ^iU2ob z7>;-z;OQl0iLJ^oAwKpYhaK)~;{(ZAWZGDYL|xSa*ROq~3o)R&s)xvY@~fIs)YAQJ zpk7~NjXKPS)BQZ}9(Bl*!n`Cr2F69aTxTSxTO-g+EZMxbRrNJcyunt|e=~SxMNlnH zu6K@dJ-%QVetD)wf6s`jkI(p`!B3^(+)#q7JEW$862qV4_k9*`Fos$H9x?&tC*mAf zDc)k%FDc;)nk2>yh7JyV#ho8d`UH}@rzJS3Mirvg;NhUqbPR<(@pGS>`JCbD)dRtrs^x>13V>d0$13;x@BKklI-y?F<_GJcr~z&O8?y z&3iDRB-WBLtxyG_GSB>+BdD0iYn}9@rOb!z-!dA8Zr?Xv4<=(MHwDy5kNeK4I6t3p&M@=bv^&u?r@{GOBk#XgPY_k2>QIj>c9)ZXovb?6$M!~A=W zyv~IHN;KA|C#0!zx}Gj`)ZW2)tDr;BY*3h~;5Q&TV!(lf8Jk(DA2vGCNITbi+aMt;kGL_^q$f7327PKs zbiZze>a*G5V_P2rHIb1A^lx~zG<`7zpjmx{mt~y-rH}S8a$!*#$NgAkROefGve*j2 z5tM%MaV_AqR$_v!zqglHK*OGnk=oD}bY0IBU(<)j5 zVMjctcf2zu&gQEw`wsx2n{h9abiW)X&5YWW3oj8+gPb-6qPEZ-rP1qD@=g%R&9yBWBUt zfHOwf)b{88_is_n`}h;#T-r)}*psn=>Ntz!_RDS1pErx}{mS*}Zn0R?cXsR4(=pau zKQJ3m>|7clK-S;_a*v%5+o^l+wf&}c1!ZoIQ4k4qenJr8!KC;28J1(0bcV~Ty;^0u zR(Uy;-Vvr!7)*!dUU`*HHpBFrAk39t(Z)bw`FeZ*Qd-ZPB}#%o(!-+8gT@+`W{~-~ zLCJE{`h_|;Ad1=M5Rnz;Sz>IuBt2VcRYNfCowmG!walJhNt{4#f<2rsEq?*JK}Is7 z_H=}P7*+uvWKKLI6b;)VD6z~UImuN5fb3YI9P8Ea=8u|=)e;9=Ij-S?BoAq`jpjww zvjt_tzUCfncbybcW&^a=yljpqn+9(rNeUakfI266wqhb+sG@E%$4k!AE;)_k^U@p+ zHf%LE3fGM%5I$sIjiu9-YNbs8!NE488HpIJnn~g8*6R=0{%R#@&$Vhyk!^Jm^~8<_bfD(t;=wS4N~+ zkui~97W=;aC{2Zsv>AVqs+huzcZEABTAxt{@pj1ze3EbZnrE-q`NFii_6y216xGl& zmg-Z2S@R|iqv;3=hL)HnFfKofNwv{Gr-K`bN%@-*T-~_Ue0jfREt2v8GwzA6o_=$h zl7GcraB0{Pm42#@;SLIgFfU9r{t>)SDMs64d4|s63f)iFB)K*Gt~V@{hXW=AEhn6= z_O;QRX)lAHFSA4;p`QmNO;(n87pzsE1}Pt$Y$;@rUE~CrWDs?4gH#rJL=HyTZ|4B0 zpWj&7?!TFWc<x8GjoV)$+M_*T;5vaTkTtk;8FX9lsc?6;Zn(Mr7aW2#=PI7AvK zVh!O*AwhxA66y}pwU}wO`jw6}qwtQfA__)N$akx&?CS}))-}8M@*olOYq4YFLWDyT z!u+nor>DU&%4Hq!>P3lmYJ>uGB+@MB0_qwHsNd_-3=N*ulc{ZA?sLGoaHOd{*sny9 z$t`ev{1ee0+;4J=<-qC!by-jCYSXgv&3LjJcG-Ra1)fk|&r0JnXB~;xe13h?3W|3l zH`on{v%Vzp+;f@&HL8@LT~C{RLRq(~{SjULvDsDe5gKw@0@a!5lt048mx=rPmWS^sjjtr_;@4u)z=UFBOGcs&MAK zViT%eM2~yDA&+fa2!iINv!5nxtcGt>7`P`B&KFtlSieE zk^_bxHmnL0oqLERdEm&o^dc2-^?w4|EG5$=T1@RkBaP7dpJ$Cp`uIJsts2DpfMK$~ z?IrEnXMWuXOlEEV8G)bzkRGJF%aPGX?R{zh7%uD{SZ<1j+$E1@OGTjLysd+Zt?<&6 zKt)a!q(NISfMRimj;`dbSx??!4NfdtJ%)3>6K#=}D;^R6|Z9JmV$*aMT(MT#^_`(O=W$xkJ@Uz{SaU)b!>hbEs6lz%K1YG3Wl<7?q%7#c z_;vrx$kupGi_HRN!x7xJ#GBQtB5#wMx)2E}eu9#P8l=lqCUxih@*9XAtv|VOGy(>M z^QNSwEYNgIlsyH8Tlg@MAGk{ohSmV|%V%WG=sePHE2iy>v_@Eex^IyKi&^UFQvPT( zA=fEg)^u|pwxlP`0k&3X{4N|s_6ec1f7A`TY~O!|VLcfdO%nY~8>!sTI$uuk=WDE%N>O{c{wl-oFhfw@*i&7yw;jyxvWz zga;&=NeZ3+dW1H^GSkj4*x$YJ5i>|~Tb`{>4#vM>CX6^C?htPB97kBORxu^g!xCs2 zHjYYjqGGxuAZSIE)rRSJoohjJ^)DgFY|5`{NDprt#w93VXicw?P|b4Wh0vJ_`?wAu zO^LWQeDeR74fYwevBHYOHX=E)&|a=V;G}v@1RI8(o0rL598w0QhnF@&Hhh2iEwuKI zU!Lt(a|Pu(?BD9Xrg3~vtd|Ulhcer`^r=&0$?{`cxRK`$+H3Gs4 zIFONnZJ}aqUn1O}n>-dS1I}|*7hdPS2LuoZW2aT&#LfPcqnp+0zxB}3R(hPGhu7Km zE!r<1BQ8jDE^x9em<&oRFh~UFi@$tfP={dK8J5k_B-$)RDK^8{mKA$c=}i;8O6#|* z@YXzl!of*sr)7P0(y@d?sN9f*f?DxB4H?!H6_QyscGyN!h8MS$Nmavj@+J`&Zl0jk zV*V$wBn_pwSkXV!vKmGn#s>$th^*O(;X6_MF%5M{{IV^cuP;zWbp+@HGrws!fR1Zs zR#3B;vHcrzz=C&j$|4Gkr*qC+?Ejg5sV$$f5jZrb^SZX@?(A%! zrtXqky&iC5`+5DCFmSM^N#Q185s3m&p$VOr4WY{na@-~puGZ#M76~Qhzo{Z$J70WI zbWHaok4mJuoXf&2Sp$x5$3ad5rzCP61#%0*9oHS!%tGrY>wb~jd6?sjgSzy6%Z0&} z&_R{7Iygj60lB2 z{0|(<{kumPHp85UM%NDc7vROaj@z^~@vh86c(kRR8dg+^0^Fk*1?naxDzyu;QnVzT z%@8=Xfjv2d7=ybz8hA%@T8@g0-9xW1OtdB7W81cE+qP}nwr$(CZTmg8ZTs{$>`wY7 zH>p95>Idw-YCSZJ;jGm(ies@d(tv5>9=?6?=_=Z$@_hqb-K!?tJIX=k#|yt|j@R~; zhhHpEd3s5gS8lr3FL(?ygTHK;ug#j@AbbL^G)DVyDENKW(lef8q5>8-D(0~ZEmSaQ ziAuq`C!Y9eP3J#r=yTIG8%7b_3 zwSG5P>j~xyn4Wl|$JBLd14Lr>Q9R=1M&Fb|Bw~F|e4i$~3>W~}U_^0SKU-Py@3>uD zr9R6Vdv+V|p9tPWjfruxk%&PE?gl7nU-qO|b3ci>wjglrtLinsqLn32f?z(m@_wD! zh?DVFYzN;TEPALkbnH7K?|WLg2z9}Yhki*CQ|0c*R^0M!NV*mewf?LzM~#4g?{NU3 z_t*qg9qjlV{C}hx^{VPhJU)EK@M_eVtGN7Ri2^cQ?yqR;vJ?IU{estv_ZlYFh11Q7 zjeo68@SUe0sajk`wMGxH&L}EC){Rs0i|xB_=-Q5nBk9YMcypAnbt>GEXtDJlDe#iU;O*L|W{Ve6`Kmy&mv5}DDgRVsru`_px= z<2XffD=vfo?GXI2R&R{Zg&m%y{x2+n+_+Jjdy?_NokTB~Tin54@BgSH1?bd%Q zJAy~JnTXfeHtUAh{hm_3|0Gx_Ke)Nzj>gp=gf#gVe01*sOgUPSyU1BO9BlF`ixT zl|6kMMH3$rRtnopOSgGwdF5$Z=-t_-jM(A{Cz;tl*G3{qD4{qEiUx zs8?^Y&=yc}xN94SEvHZpj-q;YH2M&^WxB$MQ;(;oi!)HlT}o@g5fnuS=$JB9e7uQ= zW}#v_W!|~5x!}!EeqmKgekc|Ci3CJTk3Qq#r>x4zHk~z{Q&12gdoMzS;xxexHS@xp z3q;ryn*EnRe0FC%k_LI|(!ljYKjOn8nb9t;v}(rqqWb2kxssTHTIsZ-=QAM3ybHJF zU)s40ZVFZRmS*pJN_fqAbzx&S#ZeCSHENuv_u?eFrv)|xFPftiv#OY!{CHI?C5XBLJw}ASCjd%BW_P_yjs&K%)TZgxI&3NIR{0u%) zFN_1JniG%vY_-_6GZxJ&=+f^O80^9e&oN(8`!dE_Gm31Nd!P|?CsxSTBT&gp@zEsoCJK<3`bE-ikQ@r?zqB>yU{n9o6<<=yvuQLvu z(Q!kPkf4XJ>>#JVDuJO_u41r zs*!aiTgCPXK<#UbY5aN8uC)ENS1NuOxI5Qt@Q8k)V>+H9n%HpXS-3;8C1M-#Q+u=n z=0$6;EJoGZC!g(eMPtfu^ka=}VDOY%C@0IK8!NX8lp%v>wXu28i}wl1dazUF_zmpw zHDd*hL?t~e$Pb)Hb(Yhj>jer@uKo=SRz>iIEq#l}_11yrsCY_@55>Wwd+9oMAWD!- ze%5OrQHKqWfM?UGZr?f!D7}-=t$D0Sec9a+4J=lX)C5^P1Ye3B8n~`+#84<;ESZ|G z21UVYvj~7BceJUxb<~EOGLV5+kpxES!*=htVz>@)0wsKQoniDd79>n=3{*JmacD<^WXf8dnS9sZ##f4T zkAc*JFU&!fL4fov)!e0*Y(<_zZ=*`}Sf!d2{bHMFZJLqoT?qV~g_2{Ap@7fMDO2_mkeS-3tO-# z0;DS0hTg}1Xyw@;*lqy?=wb>$IU6B=xHAsn6kB#6r7%BD(h4AJ^*V5jlOe(#{WN@U zTZZKT-S>&Utprl&nU(_Qa{Q|Au9g;4o^gn!(Ny7qH`8xl$>Lu( z)a`CrSER*3jd4?MICy*9E{X*yNmoQ_@PP5$8AjekZlWiZ^~-MgR#}D&HEvQ){3ovA zT|fW&0yD-e_c@;t^GDQ-(Mci9|M$o9LuHT8e4sGdcrws^5)5?}9R`_f14ujq@BjH6lW5w8##edC^5w<8%D(1YA%QuxVteaLMK8k%93%q$z z+%O9XI=AdH+xliDvs2d?xA7d9e)X?$XZKChaEiG{cz_ZP6*{do$>2|lN&>Uim<*Q- zY-oFvwDyj-WyB-+X@;DZ!@h$Jx+wwCe%)p#@hSb3CIXK3(HvdV!pQ zq^{@)SY}#l*psVn0vja>o|%%sZ04j^c!OY(@x%8SfUFgs7XNxd%f%i`71Jntpd5b$ zgfG@2La25aaWOue`llX}H|OEJd!~|f37*R9KQU7fZO z4ESOs!-3~OzW8e;jHnBi9ea1!gp$P%qsGzHd+bXHz4H^W7*W;zopaV8z~lB^vpX&+_HJsA>~iH7GfDNIB7Z{%cSUngvvw1W;0|l04|H*5VpC8mA`f zt~#CIWx9|OoI!mi=B%XFl@Vg~W!t2zwmSp{M++5qn|&xvfP096MqVm0W@2?G+Dtam z5hDe5ar>_eFT3qQ$+e@Xc{?JSOp?r%o>(G13^Gs+rcpsPluA6dXlrty03h9bXKfm` z{)DM4q?rcwPsm50l<+?L_pQDdw1Z91K@#Bijh)G)Ya{@RCesgY&u(>=nCr2E0ym)i ziz}pph>vYe&cf3>+=>3yn~7vPzFu3%N>L5svKo2yfKzbi`r1++&Uqd4U=5IwdRU4; zNq_PpyFAVuI+go$r3LD9fsq4=B zxiisM1b$^dxM{Oq?y1-K=5UVpF&o^%f?-{BnLQoyqxKPVBnBe8_XwcMpjN!`UrFnp zf@NXd3=^-{d*Bl!+b>gHQ|7XG=?;wPn!r2-nY-;+`9JLlNZRilSlX5B!Ze43ADob* z*o)cg`eXUtn7_o}$mBodu&+41T;|O~xnGB2)Q3-Od05KgF)N$Mf_NNllH(ndv9M1^ zGdoq{Hjq^?A{|#=cm75;R*#yRLf^ysh1+(64!=1Z@d#fb{pHaF-0n#(Yh8Y`?n}+V zX$_+eRLSlaT+&*_94zoI=HZ0@+)$TD6AZ6I!|gQ~Oyo~ng7W_&xZ6!0Po<48H68HV zcW2xJDzSEdIx4u%<>O|qY0UR>0K`VWXlX!xLvrsFnT(kOn?QN|OdYPA&_>1_!$yEL zee1|~pqQD{Dn#(;R7rCdW-m7{83;uXE3SzYo6eyqDlV=gLj3$|ud7^cQ*Js~30?$d zyV$`P%^q}y0PF(Wx@HyuDr7Fg8=I@+=v+3#LkU&Ndy!f{7ly^Y+onZ~*>JOR-rAOA z_7vebV1|iAB)cWl?=B{6A%7jTE2FPK3XV|WKHHF`Y2hY)c9=GwHzJ|huJ*<2%AUU9O3sQ=-Xlr#e<&P2d%!w}SKXKOLkfr2;ySqd;QegT}lxiz`p8TB`X z*e$-dCJifPpbWF9SC+!ID6RBKx3J-i{bG~NhC)?5y3HC~=Git3&Wd01w(ItR-6EU$ z{K}}9imMIUT>V_C)lkUTRp1s%7aClh~}Ss)_1RLhcpa1a!JK3j6(KySU4N~-(w(~FT4bHEUaf!pP z(a6f&C1p1>z7O#&dtKg>ZMIK*ExYLsi^Rag3=3IpgopW%ma%N((z)I>dS1oO!9Fey z%1W=h_Y-0i;e7=oVM3(+80?&ueH~!3j3^{*&1%rt4fIppZs|}};N>ficTs^n#R&WQ z(;!27kuysRY$p{4`Ljj1%uuv(^34rI1D9rTFrK+gu;dyU-4OUMMepB@ae0EucjTPm zv?d_I3gGlSEWpkor;9X~`2Lup@EXK!l1k4xzj_9OP}lh$<{!BBpUF^teBb6y_3kt-P zuW&A!5<_n8%x`ceq){dFICyPx+3@!0%_7y_+?Wt`s48YIX1D!&Z-+k39A7L@%P>iF z`&8Lx?GiaqTCdYa|2HH{ZWgFOcx>tk?U_vCZ=6e}c#59f3#cE{OOV?zvokCNyqO#; zQ_by;tD;X#T^51-ppi4y5l$3>E+CpV~w-kNo3o`?Qw z6hB{dQoZ^#g%JAr<$9@ez^qm_OUk-ntSMH^yIay^Kjt(ol_*ryVW@0)g&9WuWLH|`sA;zWE7Gy7<6 zqv0q9jI*=;Qlg^67ms&u-Zti}afU95wlY3Hl1;seHLR1rOnVK|?>1~IGiTaLVp=C3 ziF?mdRrGl9ys;w_jbAH~^aO5*{1cQLvn|zGV-Ad}5$l_g@)D<{+cbM$&o5~WC&vcc zB$}i+yo8Ckd`Fk3egNd<<)~KYyA?G2Ujf3YGZ#QXC#hD!X8lkU^Dy*VD_^R8M}Cnv zJUrpSx2lM0l~Gws&Fgia%at_FCc&*4S5@xXNLho4woXV+gA`#??Z7s)w_6|B>H>VYXN;YA~Q8Mg@4GLg3I7? zEuU^~0`(2MSV0v|wqx0bw}&Y>rbU)d#_FcoI)GTSThq+P7P zncwNuET&+t&a)_QIFx)yW2L|r;Ml!(x7)h)=zA~?{Tq##~pcbIXL$wBM;Pf ztu9>vlQl&Ba&(o$y#MMIwh`P0ltaovMg$-xSk<#}*O^_PSio{q!bcLERBWjxfyF`~ z?Kv`-jmh^}-uXnnRLFF;a1%Wf#>CNB3CQP2`{8ZvJtd5CVy@hVGEn9N?@ z`U?utKv*Wm_-x%83w3T?ZczMm^nqX!jy-_)VSX{XT{TRg5S;N=4WtzDIGE0ym)4Zj zU|Y^fG|1WqU+6RPDarU7I5%3eX)-5`Kqip+F{tSE&4a$2sgBVN*X@j@QXezmDSu_w zq^J8+eSQp0h~0yZn(9#avb`+2l<{S$moGQ^4KPLA~5RXWpF$t%lN4OEtmcEMoA z`eJ|%Nh?j;8)rrte%~aQEa;xym87Y)={jaf7B(q2svg4ED}X8)FiR5+Whz%v>!B(E zAKyl6{OhEfxuFq`DP5#R_khO?x3Lfi>kS;E_Zzd41w&ZH8}ur8(%T#_uHB@n|JnOW z51UhCH_m+GXmtD4;o5rUL)YaUlAabCWN$I^<%{fo4u^w4&4#BEo#u6FW6*N}q8}%Y z^(tph$|_E89q#OAKrfti*9$WaAQH;fC2ptl2NyMu4eunqS-b6bsaAH11*%lno~+C} z4YZiYZqvQJ;$FVpm5rl3S17b^0d3W~z=;>_lLS}{(BV5Jav0F=8u?g~9!e7Ike?3hOY1? znh?EQJum8Lx5wTH>ef?p$jV5&mc5zn3+7)|87zijKK0-R8A*CltJgewGQU-OVi^la z(=LV)n)UIcf6Iy1+jxC#Zko0W2}&&7J49g2H5X&1T;NdkXhMlh@p^ZhgyJby$j8&# z)`ZP+vO}-2s__B0_8}RJyMIkPIQYvCFsWRlIe3al%zWG3 z1Jc;s0cCa+hWwtTkcpq~`IY$&B;kpJn$edIWE}1Pad&*lrEvEZixE?$HV;fwm|mgv zROvWp332#1x0`Xa97<^e%B=mx=-O?)x!LVsZB>mPhBWJIV0|@C^c~sQcCy# zTmBi$Ygi3s@|>269&fq)@Wk$$-X`0C6nbRO*6Hi1KQ9|H5a9>fgBWBPyRWGlh-^Lp zV)g}tT9q)Bi`c{lj%e=`3Tq~TTVx!Q06SO(MDioZ_Hu|@T+~5YtM`ba{ck(G0vJ`{ zP5X}vx>VCO4S%O3V~yrD0lm$7v9tTJEco;_}2$0 zH8`$zuoRX}OrRl|JgW)sa|R+{n<5baG~=u2p8tRqf~@I*Oq4v_koqc1<$&FY`W zuZ6Gkc4-Pu(?Acus7)a`h@!xzs=W;Hz%K~aa%uf{#{IeUVgq-R>V>)&cEpvMQQ)r$ z1n9iyAFqK$+=WBv`Vrjv0^A^S?ZSvU6_lS`PX4PU>6*}JO>FCYm;)ih8lb(>!fPmG zTPw$hQ9%aQH(v&z#Z<~!xKqLLXv8zTSTN{#Yv!bNY?B1zJ2*WzGfkJEa?!Jd#J2r| z^F_+76)yLleVtIQ+IYB8+$WOsJJpLdN8i`(MUvsWT!EeC_VK zd)ctT3zXGG0DjX@iv;u5i({7iA{#P~dT-#b6B9ck@M!D+RwNhB&GE8Ln4l(<1I1l$$;TyaQE-I4TCG|hyC*0mWtc7S(_ogrif zs%1zGy+O*f>n5qWrAm+!0yKO2bCgHQ4y81OcdXB{XAa#4ScY96MRin z9|&oc`aU%vB5YB~PNSd9gq>%|8kSD@Rt__2#iCK-!~|s$3k8R z*8O3XYxml$Asl zeq(XFJj$mupT`(aEEg8lz-K+(k5Fy$4~SBN#*93gwRp>e%@s<$>V@D|AKo+m34$n2 zm%83pbKYFUqVLWmMC)uvpmEN=4u6B+yV|L-&W7YGngji~{AbqscP?*(VBBy`+5QA}h8(k;RI_mB#|XuQD%hr){-A3W)k zp*QQ2<$13stQp!+oqmB#aY2YpJBBM$V1$W9z;sUO|GMnlF%C$$)~^YiC`a=r{hATx`7Wi;jW| z$;mq0ubLFjvwUGK z66W<8FrZnwRFvj(-Mn&>}vC0%G0>>4)6&%acz^K=OmBj{F&|| z@p3gHg&FE8P6IZIMo|Jpm#anrdZ+&}h z`434b;+P2oZc8IKLJUt-ES3S5Og%>QaJnF=AK?H{Zt(gz^OC{1og5W{|d*i zRWuiCoW(2W&bjK0(i1>HsQj5E^rC1=nTAw1r=U07-ibitSY;!>#n1@QTeJF_uTqrL@EDUL(OiJVh>)OzyJjAh0#wFLMn)=chYt6 zXY2;`M6zc>*VRowp8~|wkfu;KDa$7|qV7_HoE142>JaS~3OHe;f%&a8jCv22%}Zp4 ziBVophm;R89qV5AT}xp3k&-QV5NshsfgUSio4=+sY0ZtjfG)Aw{ z^l4^f?X1H`@|oP;&?)d7LTTyJC${FUNw05a*PIoVh}?vnZXr<3>9-*3LBIa6sMNwk z;bcb2*u;fmG5p_FQn&1>$nD zBkR@96-AxmM(Swim6LJkCcH&z{#UUeJKmqlWSkq&TW}re1M`q1nSx&9s$$YeW6<^l zb@bSOq?8_MF>o26IXXEHMyCvrQbH6+Ap_wPzp=osG)&kWk_V}I{lE>Ruf&)3p*gz0 zd+M=J*PvSl>>MNVQ9ec?A+#l-o|jN)_xGIcqVz2TqrNqg;=aPyIa|NIA}g;o3t(?E zdaZ%huKeb6kp##I6UjW>r^-rwvt_y%NAGu$z{n@;FfxNcqQ(B@lSu)?_2hc#Ao!5~ zq%H8|MWr%elorNKO03-c9L=EGy#6iDx?tkhAZITLXZ}}avCRT+UMt~2jL+6woOjTu zNczsm=m$eX9eSJ~9~k;z9=2f16PnroAUL%USV6Yapw2#iVK;3nSNgVQZa`RS44FAe z7tU`z6@O+-vD@*}L6Ko>ekh`J-}^>$>9!OmPyWL z)l&nIa4;9#;$}&vK3^pF|1sq_|M#XGzzHM6B)^U!V3-7Ickq|4X6e2UV zvV%o!ZFMd%E;2g-iyVirastG}&^*V)%s7~sRHf0e4fuB+Oe_b=&85A%ZT|ri9D=Yo zeHzbZ-J=XaLAuZ_D6p$HV}biHX(y0c~?g=1hn~c{dWgYxt65~ zq|5tL3`$xX8XXPH4jkOs$=#h;&D`Cc%*l^J+qb(g0#pFw0?yqIC=2LE1Dn9!0Q%dA z!Ha__urj>(j@KXEof+MkfP{EIYG`Bu{LclObZBJ;(A)$7ggR_`ro*Fa0U+l7*B>Cp zHuviP7`q)qV;d9m2k@J>4M9Lx0>bdwyx+g-%;wnS;^0{3-q!MAEgIH8_04I@$gPa% zt*u><8_m3}{}idk1t|NA(@j3i&u(pNerI>~Lq9yTG`DcPLTmXM?Og|^T&4Kmp!M(r(*YijM`qIq% z`TQLA=EUp-1EZ6u=T|@cz<-v5jEsOXw6Zz?V*<|7+#P>)zvHkhU*o^dA987U0JvlP z+r~f)zb{{J*}M2&nVVZ19>470cVDIn>Pg6n$t54=NB-j>p*Oq$yDm0109(8qgpL zzwDE)m>U?fzdRYg`IW!!Q-Aowe^rnE#2l3R>V^8`4{3Wig zAH)EhU;IoBUwaC$`}{?yZS9OddyJIm#r#YNP0Z~dZ-iQ0(b`@BvZ%DWGBm#jQ~Z9d z{VZn2mf$Ka?rq;!#XtqdMke3-jr>DQjlWL^4!^<^{lWwMT_5vlMs8%UW&V&cnX$MA z$HykekZ)&Ee;PIb_GSE1ETCTBvW5V_y}7;9`6vVVCq95?uW}ClJLKr#0fXoCYy4>B z0fX;*XvoaO0fR^W88QH1^M8g+z!*KhY=6c?$m-eVk3eu`pCzcc|rbYv>^7DpgrI1+?Yhh0BTg5?9_vDQ`j5 zA$Pmwwy_HbHSM!c@hEUt8>W3csq;&tRihVSX)?*F8Rm2ch{Bu-hrw% z$8;X)Xyel1qUqR%*Ys@;?u1yJOlpZQA3G~VV+VT${Axc6^0hW9K-C`NY)`EX2E8E_ zh6zx>#%_dmPs?3HvAdb+N{Eb>RvY`iD#uS)*$+UlL9SDer`X8ki|&1JePr zuZ;5U6mC-i`yR;rX5V<-mH8#*=yi*~f@mYl+$`~nEfi)lw$Zf%(in1TyoS$O6!WS9 z)9F8S_qr+-f;JuoIS}w`_`=K1Ek7Bv26#%LZ!D)6l_POh_H z42Kbo86Hac==GH;Aes++G+%gh3Uo`3!Xptgk{8r__IFpz=B!wLzPl^1Xrn&edGKQ@ z_OuMpLw;ROW1}q)X%%~)&6GuH2{D*c1<{{Br!J`l2PG^HABc?H;5K8-DT%#s7t}?! zPMwXOHRxGV7tU!!<~@(jr_wD5QAop8=PaN8!_V$(dIrTNk8-biCf5;39BYwD*0Sv^o)C)o3gihoy5b7$X0Z3_HjS84Uou2z2Fq^sG-m zzRAlke+PB5%)`_7K{bMEZjB<+42`UOeAP)Di*dMH1>5mAh<-scO$SX^-pHT<6(45fPrEKeUDFI2(g`_(N}tC!$Yf z(4yrar6b(yOttG|mX-^6ji~H=McgR`mo-Slg5XKrJqZ#fgqk%AA6046uEf3Gl^h<% zOIH{vx^g0Mk){PEcF)c~PC}k91nM-o#dbWqpLMC6&z1N}JJ(WY91(V!KjCNDg`fsc zqHY!E4E31g(%J))TOwU{J2vXQa9k)uVS-(TKfwFtbQ(+Xw+QlJmzk}r5tRkx zUr<^m6zq`tv-x< z{shIlH8brx-rVtC#{1>!klCzuKmM4;+E{Pa&?2H+=Q-Ir7p)q4cf5XA(}N`d#zxK9 z@6Z*n+h!;4((_~RUyn*1ld{xT*z3Sbb~CQ~{+E7S(ThVjt607A7KJiJ6RHVU4`1tH zoh{c5Tw|(by3}&CPu-RW_GJh^TqW8$9L9mlf&0Yk8rG9Phdc8@$ZS+bdTRnoc64-K zw!RKGdQ}XE5xK0VNN5>6rCcNv&Dd4#8b4@Qz!!+hszjwq;n5E5onMChODg|eMz$oJ zO1GHBNJjL;e9o7vjE@LU4FarPQ68Ue#?mnfsnYphm$LxE`zD+D`W2O?toFvuH`BWs z=*M~55t4f`@C1*y5I2%*ay_sd4STYI3*4eTDMoqlR@t{Pr>bxV%>hG#R3HBTJ_VRt0T6W-&r~ z(@`=n{u8p^ADOO!P>{0snl1f}IsD1hDd$j2gsbmVqPUl~E|?p1q?9|RAc`(TOv84f zE5O%SjN!IW@10X>O_7ujr3(AiQin9`u8kRFV~a2>-^>NB5oR@sijfc1xgQ~tT5g=3 z|Ds5@utKCq*nO>z6(q)tXLfmOiFAmX-fVeWo~aZrl3M2HGz`@{R;ZlTq@RWR>qsOt zw7I`trd!$kD0lvOdlUbq*=6c19tT$L=1e!f+C!6VH~;7KnGFKOC9Z^%qd%SGXtb6y#$l zQ+_AsHpxSMqJo$lyozuF+`$cn$mUGq{;phA@eniJ27{G=Jj+`%5*d<%pDi4bHLoqD zhoIey51~XqkPw`>P^(wInN*HMCvuaGrK0q_%zLTpXkxiU8C|j;I_hPfWRW^CMVEs| z7tFkw9VN*jMZCeFfxzq>{R-C!6+S#gqvTu`7d3<#;}xhDUwww^owL3jPLTb{{C>K~ zIn5b zkT8cvSD1a47+$&+T0h?mB7FX7sECK-971}+wT_$YI3S1a!y3%AvQV`e#Sj^q@7_D> z5Fn`9$Yum%10<2Tlu@ky8cDT77ReiI+!!e!;(p3i3$k&Bhvy+|_T144rz@EWa&5_C zGrR1m?5kq_S>|4w0zE&j6c;!8^k&ppZW$BvPOx}U))B`qa1g2{N8(3C(b5}TZe3aY z`HP*CKj7u;{^2-x$3Y!*Uzi%yy9`wP%6_lN>)ht|ZLtuOW{$GG=M52@O}IzNVCDTu z=1V7TW1IfbPd)V=8Q+NwAo77SU!HAFN8?Y}KA7C}b7RecZD`~X{J=C*4_i+53TOwd zW|8F`^2lh~o?_(%I2cZu&~}A4p6fJjvLmNZ&okbgshh5cn7WORhE<&iQLP#p|Mk)G zW^huY<3o^zDm^7+k&tHYpDa_RTl?P%Suc9oQ@rts!sSt@0vAf@TlyP^L1E80*7c#0Eu$2tr)RQd>Ey?N88r|6AAT5u<&1*p(sjvz8&Kwe2VwvN0?R7G zvVjUrg2Txm6?R`n!LW1F-_YN6k%74v}5>_ zUW2$-@r72j`)meWq7?sALlfAAM9A;IS;WT|#wbB>R%qnjxLiGl32PsX#9Vow&2gnT zCl{k;9||D?dd96!-vFCnl#wZn?dDnB++@v7%3j((a|y0>v{8_aqTj8Ax_TtE9|hk0 z?=}(4{fm+bP;KT@KosaIlWEmKQSD@=YPW35ENkoYN5nkS=qtT^7?yKoIEOG}k~lXA zz8_zbI-y?T7qqi+y9YAH+3NG>X&T1*ez$n%l_G+3Lm`F~2+!=42#DLKhSHQ&yjs8A zF@exPBjBvgEx)wp**62)Nrw{px0C$bPTh5S6_9X0+@bjxgH;$XyFB5jJI;uN$Aw>n zC!=iZQ+rrTGl5PvPllzP{E(j~}n=u4dcD9&D z>Ze~w-_!(5mYZva02u6m>N zVsE&DaEI+|0P<>0SSv+N&GQTLjTIcD1+Vr}s{L?)^N&;`4R0OBdxe7)E*1A0UA|nx0?1JFtwEc<)z-22em-;r%{h*G^ULx52t5l)$?eC#@T4a|`w&>vlX(ZO&`RjTftx1fL|DPGCHB)rUFH2RtQtnAhpvRn3nj~!X(Xt`}p!0xv^i{04m6iV#SsEz?WQcYhLH}A3W z!QxV|!~|GZ-^BmiJt%v4cUg|8PBlqB3_Q**kI>k4l5P)Be4KTv*cxO^V)!zsfSYY= zZ7FbiEFbBlYVyy(J#rQa#3&lGyU zF-#!P@uWie`ONzH6gGrADJ2gI6rPQHe_yEKi9S*lqS?_nKHO(EDJUN`^Widyzo!P| zFZ6K5ZOsfVxEjbeV6sMOSCx8SzG*_Pg_}__K=HlKUVXIWcP{rT3H;z5@OZAvkWlPH;t40#Gz_u z5QqO5^xj@S%YBM($NwE~vPs4GMeQi2&Pt!s<-&V)2h9FruU)P-w~W{YH|K+ z)R2>tqirl8(hR0+>kr^k{Olgqkn|Wb$2a>(L_3nzcyGQ2+Yv4iEj7kwFe=tImJYk& zNvJ;fRBEP6sAaQY0)u#{0fI1b2)B6Dk!VXDh4!fo@%!{mbu74g!EH&)5)G$V{Y!da zWA4pk9OQBCd0+lSUq6=D1n^|{zBrg&81T1y>l%BVs>RJ(X_A&h>h;iJjlFrXJd5@T zc_DwGSX%S5;0p<9IzMeQR^tU>Aa)%K|1veAqDxPI;sM71{nle-Tg6Bq!3uR$y}p^E z<*Ie}B(=D=#ig^(0Yv1;JHq|Vmcrg>XS^)}rPN|x2mIP+@Vyuj%rG5Z^;!ET9c@IO0p>L4y$5B01uobqu<7`TwAstroltGPQmqX*XLZG3lJBNugd(L4HF+yr%N zRrcPtr@s;Bzs!^euLSao7@eVr?LUs5F?}=OS$7lsWv^sG*Rz`_mxqrb?4CZi=ld#C zbv=&K1p}#|-0`DQBU{aIs6(|Qv{9q&n-|tS=(+loO?Hb^SIDWKA^ARneaU>FrD9jw zXFjrZZB2P2G2b({s;d8DWYN%vOXS<&KbA!RKaFDE6nbBgG>~(1G)rr7B)Ca$*@l3$ zSiP6c6oTJ5DTJw)Vtus+Q~G5;gs4R6JaET`+L+CbYD0zLla@Y3!`y`=ioK>> zbQ)top$ZyT7Ha_!>!Y_cAsL<{83RA>4Q59?wo{^cL>lbk9N4{ zuKK7xze-dA!6@cs$^v-rN5QA$+kk(+=l=&qK)SyjLFt7+l@bd`z9Y0&^XwR%g8CK% zFtI%`ecL7n$v*c&J%OKuaw2dbECezu4yX*H(g>q zuUofr2D@uk!nlPYvr7y){6Me^g*ZStjYV6*o_-YRc1)FlMf6;TLR?0tR_P-3^V=9# zBPOvfMwlN1*+}q;Mv}2jp}4D7?Zo)Yt7&f}F4{^mdDpge`&R|@& zKrXZ0>E*4|rE9AA02QOV^U~3u?>JP(ymh);wRVx5MWW^|VDqmWr$RMebZ!xSClQuL z__=aQG1W^R{fCp9D_p)i`-kohTd>XHuBSu7QKKk&Uw2#Ph6qFe5hEK`)MOLa z2rG3>7EFavV^E@bJ$L2OOf0Ip*@_YS)6)(Y?DBIe&ZXt}Rx1^3lP`yeBQu~Dc-V#M z0pC0P`+)beiRzDElcUpxp;42+2jj?$t2RwHQH>F(eP%JCI@gu9@qA58ndC!F*hB;4 zAGFPk&)v)_VmRrGS@M$L8QTwrYnmw=bhqFQ*l8=DueK{-4K{${s@oV$)qK-IT`ihi zOoC_sZW%bh(h~8&j@77pZh(u20Lt<)3}b>I!)f4BIb(ah^th@ao%N-_vxP=Jqc7S> zu1r9w!jaO##|x${0lQu;tu$gu1;OQ;wZHK!VXs+4Me>kaBqE;O6x0H4%@a;Tbdq5E zv3T};<>cLOZPT5a*a-Y5M8Jh;3+iZPTw^tH$CX7+asjO`DV7XA+;NZ^la|F-qY-V` zcJ+)b7oQW|3G}csfcH5eG6MC;Txr_bZr)+Ke4A^&YaUhf|nYLPE zb(U72$uX$>%0BtR+7%d8Q$w&8Q__M`ldGGY=i`v0Ngi$q&9~%aV_R%-IIT=W+y?x6 z2{tekX^@%M-;#*yTECz(m=5bByyV0zv+F@fvf`d*@b^a|1H_DP#YY!(zFdm;@q%2O zrrQ`1D6q%5^m|T$otv_1q__Tt@^2endEZImd_Y*3;943Rdt1{ZK-N?I7 zf{Lz`x}`j$>qZXBmth-L=W+iD*f zSw^J1&mIi#Mi~SLOxdjSSpS|efMai-;cQ?TN-L0%z&x>fe!3;Zz8o$kt>_Ur)3tQ# z=T0!RBBo?l(Ov4?T{ZPvC%zm6d1aX|gdK4>@J9BMBFQWaSL$LTDqCTfvHAGUKlG{e zDv$ElmtHGSKxgSqPh@zib>~|n-jHP5S54mQ>Umx;nSiU`l#9KjML}rlx427Xdh%A- z7$Rq&^ChnE-+mSk*4d*5`7A7M3Lb|r*`$2jOK5$ko^(<#S;7c56S%-u>3=&b4ZKos z56^6heMaQS45M(W7h2r?{$x=6Wy}gvGZ$sSM|3KN6SGiJ*On(fm+NEoy9|kd0bby@ zgu51KAHx$_(?*t^<_ea zP1Z?+ezu6;hM2~2kS#D)V$=N_5F@^f*P$@xb(z9<4Q{6sBs)zbw`Fg~0kTPw84QMuaogZ-0|ZXX#DajkM6x_43|5){`MSAd+=d z<5YwSO_kUwDWP3fAV(dPVU5t=J-kinaZ?idbV63LWr{K{EJt9Y=`EnA{v2S;7a#r( zdyKoOBdD)tYZd-Ryq{R#V^RvC;}Bv$?E3M9L+7ZL?kVz!8pDLJ-?W51A zHm1{JL4YUG2Y(2slB*)-%oxFvfjJHm+@mA~j-^{wB-wf!Pr;ameihuH}))Yc(Y=F6H<+dMZ_DV~#80)I@DCJP;Z2!@{urcKfw;0#d&taGDkdD{Eg&PBe9(^&7tcjL1S& z#ej#oRH#O#m9&Z`uE%wBk-9m}@oX1$&l3D%wRn7+tv%)fwqHX zzQGlT%$1=kLyq;`Y#PRSh-E0saY&o_B-7w^?huc;wNHb3%|Y$H zb{u}0)Jb_%Ywq$WGn5t`JBHKzL^2e8@9P}%Yd_06k$ZW1q{kqM}kwp6sF;G>%j=oL}z_@?+iF2E(FN+l%wmHXJls? zirs~i!xqpAp*1>MJm;kuVmPbRBXTfH9h~{3smqb^WoDxdi;>+7+paENI>K+{zr@H@ z<%V)R%$Lu&@I(Q$@d(BZ=o8cElH=*U$0xC{zCFY1JVuL&{=}O6WUmfia3h((QZl4v z%udQGipTn@jRZZ6Ai@0aF3n?SCKuPCe#84(%&w=*k=mjWeEFvSteXX*4`Yco#==>U zFe)-PAsrdDS@p3mj!h#Irm`&lK0xIsD}88o^()Gv&|t6TEC<@NQkDlB2Hmuz5fQ7K zvOB%M&;+s=b4XVN==5U=)Aetn=wUyQyv+=n~wO7qO2pqB4wO+z9qbUIPuA@YGcn| zh%jOF1)OTnMQbabP$HL|MNQ(s?|&T|ocbWm|lpa{<)Akr}}Kzc-||4Sp- zs+<54RL^)TH;8r^qagFz1O9%EEsY1Ahgr||MC01#I@&j4LX}9iFrl^RpkP71V_OktI5OC;)sL!=paySzWP#;n@gql zg7ia)RLsNz4QDm6C;Y^tnQ*+=A@25bYjtlA=cZk$UcY}pR|&CmrbOby6e$~D#S?*m8aQXJ{s+PhUe6pD~`u! zUgb)c4d$QQ-CkwgyzH?CN346qkfA$ZG-WFSk_I*Qyj+O83EJ;}apFulUHOldRT3I6 zZsz=Cjaw`l`OXjs7?`Cu>fkXS6?WR0#_Vsu^(~v*!m>9-&KQm@{_#R{J;-)EF-|{Y zZI_!3FOkY_P~uV&L)Tqq?{xY+ajflx)k1y)$6bG`E-A}P!(jgqUC3^xW&$j*A*At$ zScYsiZrQH%2+)E|OG?L}jV>2R8>mYJMa#);*{>gwue652jr(Mz{rLkQfI0JpkKQ=^ zOXi|d*%%=9_+W<@OJ@0XWLp<+Y-&v0ZYqY+12Z4w+}MbCeQeH6Q#*=`_IZbv6F$TD zUh$FmWM4Vmu$z;cy>y$nDbLIpdzo#XEjUyG(v-G=N03o-$qSQP58qeDnBT=w(<;sV zFht1Z8X7j1h4*eK@LPPbjP;T3Q+u$QcAE8QNQ|iL@94=NdF)TDjQG_oNMbu(2Eg!C z=F&$mK)1J~lrnZN`eCla()5;|Tidp6XcG||p?sR*LPPv$vUolXsKEp86)1?hH(OfB zc4NIq|5F(&Pt&W54gs>6rBj(=blj1HKb$@N%MW)i;YLa&O7D2;Z3`rp`Mu{1XDcR; zgeOc(KDwD(5KT3}fkWStyzum@X{~8sAq7hnxBSF+h#Y^~1DoiFD|#6MeK-pG6s-o> zj^C9744f7r_;g&F#5Sys@LCmi$iHoJ7k`+Tk51B`kg^gMK_%?KJ!Hz)`T-y+-fXCZ zL<32|cV@3a8*b3+f`1zjk)pdVpTIjOv_vAS9C0bZ4pVOIoVvYI=pLf0fBGS<|2_uV z(a@Tz?O1fG7t`g-LRo{)f`n@@Le&*QaKk@&tAe+gsX8fb?y!`J;HX{Twc7282jD=h z+X9~!K)MEum4)1Rd3%PxDA#?D=dO0rI#BfN5agaQdlwNcChHW&FpO#&NQoS$yb~}E zMYah@$+OtiA6Z5{498EJMb!Wq8l%z*_(8~=A#X5z?5NkTx=~ZKMe17`!GhazFWJ<= zse^mmL)S)CM7HCS++P&V5EmWA@-=KzqPox3d^Anx1K83)(yg9sqiskRqW#G=nMK-a zX_QQ^KhdyijeRG1^afm-(YCUdj`K(QMU%ybl(YVfhC>4jlD2sH{dJnaMg<|=AmLZS zN@ANj=z7eg5i3V5oQZcYbNJF-%o^nl>BDwCr36xz3C>{`t$P3So9YjUwFFvB7a4HO zR!rx~AveBO(%o7jf)U6)PiSa)?_i~2eRs4QnLY-zC(*C|(9!ZLGy_e%A553PI(51(`N8Yg{4UE{`!LVm z=y@1qRi6+<{B7(R*YxdYY)D)BJC=6HuF@`cj!Om=CgXhl7w$Bq=KD17vmR~iS<8Y@ zt;v1C22`5L$g$)+V{vQK$?F2vzn612v+7%f|FZ9ys)mXZYc*_dWmncu0on(t?Fly1=7+8Gg{3J0R9 zDUzT-cqB#kuE}@rRt(0zD#WV7`zY#`cN1C=E#z8hz0)8D3_)FzKU|SsI0o4to9mjw zkR-Abe{^B8!kpNKfg1m!G}4ejS9XrqdcKS2=&9g1M9?OPy|S6<$vVmyh0VB?2EGe5 zMTw%|OTsHPF%FTNS^mji*a2#z&ZZ@r9R?{wl%DI88;GXi(Qot}4DyIfGu|Y5I7+AW z)iUBEI>aK{RN_rc#I+MH5;Lrmr%-OeZHjEq4F#4ReS!v=_Gv%wJ{Oc3lTj7aWVn*l z9e4HNDyy2e5!x~s$BBWb#&YL^Kqk&H-dmi3U@3%htzNpkTzO!B_{*`l1YR9!BOz>A zFSR=7V?mp`a~@!n`$h_H3ReyzbpRq(ExZC_kZ<&B;l%uaW>HciQ-KokZ$lNJTMHz+ zZ7Zx3C6qBQnH)YlB8z<{T@{q8K#WWSt|KW3te)%$cICc!!UTsdM<7~A2|0Bmd0Q4^ z{bk``M-xl0P2&7Z)x7uewk^dT&A?$&Zx@W23nyPXt-3UxTXJc1tC4#!g zJz_H(KFj7M2d5x3XBew*1QY`R-UOud1gN22o=zUm8(}$eK>~Hhjmg z0BNSJ)czR*v^qN+L9x(}s=*WWyLo|ZJK@S}f;xbF^McD0tKqlxh-L1Zmv&rpU&o$) zmdI}^Vl=Mfm(RWqtJa3fp}?zLyL{5 zKFWp_Qczhi-#Wb=WymOmCXpt6jJu}n1ok)zOePf>U4u~M@?O6!$G@wq3Xq8S;?UN> z|HAV>jk3ND5)Z@tdC@^zwj63fGpD8yqIj%!`Mk7Z8eQQ4{iAL8BlbjE$$=rQBxByU zGOVojJfYj8VXb(0BwH`{FyZVr9fu-r2;iLL?mr!Jc6MMih~d89gi*5LXGS{GfThQw zNzuIQ9V0CKjwu(>IsxL~#|c6G%*k}SB0qGyK9k9!#ykoKpC{@sM#^rdg|e2}gMuM* zT>EmmXMlXR{f4RJIuH%U)`bFih|vG$=8U_}kHMiQf{H-3bk*7s>=C-7`4IB#jVoo4 zj?O3Vw_b&Y+sg=LxW}2MdWdZ5*6=!Ib;SN-iO{ZcG2|s=uDbi3!%u{>@G#YLw^tUC zg3V_*3^zuS-a01WsF-&-l;ZMfnjDhe$xU|56DMo7Efl%w*TnLVkXbJD=6iV_(${%W z{@Scn))yGuP)SAuVugpS^g}(HQr-AO0Vw0tZ407a6veuZE!s_I)BGy`&K{*BqaMgu#8?@z?|& z+jhz))QZygyES-hv4TIioYsK_S21r0@d&Y8%AqZiKxhzJg~3I;^n2BTHfUXM)HQWu0a}ip9x;f z&X9-?WAU>2)fUALb?$)7J&9R*M)gyV~R`m zyY95Cgf{-G=pY=2Jw;zGu%Uy7#kgt-5qQ6L#9(9&!`jzF2>33-roT6U|)ftaFq7cG~4C`xH@ zoB>*nr2*=i$2(fxk&BGw{Q(1s?QeJdGlhz=&gO&VtyAQejzUApN7MCCS*yX$&X6%0 z(t0`Jp)#OHv70>KW09!Um!WCq5$?U&`GJikBRls_5-Bm-`{R+S8JI2D!?%L{_5`IG zoCn*GtU#KS`&`>IduYLdTq12iskL=w{G)IJ!9zRe8{F=8a0gIl=QWhU$h70~UYI{; zzOC~VquxLX0v;+b_@^k^n<-J!q()>F6LOFYu$tnFi6>imq3cvR$;H&krd69ih@dg3 zCyiz3Pks7@7d!_gwqRB?du$zJ0h5N%9WwQy6R4i|2Mf<;n-HWgERmta(RyVd6%`mC zx7mH$`|DXi701?IJ$Z|5l#`!7MC3xPIeWobJ4>}$!pdw$<#PQnuFusl@3JYD#;By+ z-dV_qorc@j#Uv7OU*Lx^Pn*1l0PL9TpIyI&!ti?(%2;A?URx_Y`#^Hn-nN!Xg^j*h z{Wve$`|g{BZU@Y(s644ZEB`)sUtut0OFafm5wBpGH#EHf!afZ1@(x%gx3yd%0Q6{t zP!9;@9-%PiNDzX;H({xJAI|DQy!gM47?-YvoP=Lj!z+^_s&E_OhnYJ7MuZH^f3$6q z%qI?p`oxrXveb+UIwq->uP}I7?@xhHkm1LeTda0Nsq^m*$-H_~oa&-*^VO4) zqJX9+lc}$AQ)j}%n_t_>+zUgUh2%Dk9Jmk#ddZQ?qijDL^j*kv_Kkt#eVs-Z65i(u zf}>K$LU)BAI)5zh0W<|!d2z`^D_WNJQ%eZVv_Qv}UF%*Db>w_YZwn8?1^Hz}c13rl zuaKA*kug#hT!_R2AH~z)h4+)IniIw}26EzyRW_YeOtaFtj~Z(2Q5rn=J5a#~Ge6)L z0oY7{YJ?eqj`P$9pHuHRu7u59Nck4nml9&k_}|F}Eh*Z@Goe>XXZj^z(z2~BSTSAH z#S3UMA&IGcWcK%I0hpJ}X!iuS49*fRKQ@x2BnD2MZA)OgAUB-+&qQVNBvDdc_n*$q z7(E5K)DTFw3KWK+80AK!&E2>=uNE>7;$Qte&3q)tUke36o(UboFPsQXy&1+Y2lZXV z$bjcIFCbyExSktMD&Vy=RHV2!Tq_5Q4aInPbd%oT3)q5H4OoaRz3uR`DlvB1ht>dOn1S*7l zN$(3AbnCDfn)n_+YxSTN>Ji45kWe*=Xw+qneo(=|6^!>WSc3jGXf01%KzeC;miS^|XSSVTl8c^$+3hwWA9CqmUBJA<4-U z%j34dAcf3Pk=|B1)vRoGBBAgA4bb?n)ADxCj90wKR( z>YGPhmy@(z=WwR!$^vjD2kG>E%?&w{^NuyvQ{bmQ@OYKTPp=s@w2;o26%cc4HsU!o z(pF~5HwpFLm@(Ts2tGk*&gf*fbI`jrD%`waFBS`+`Zw}8NkFmUxo4wAw9q9XLVV!I z_GbNh+^?z(Frqd#@{*;`>d}2+{L;1kmqFUEe+2LBdStmP@wd5!<_~#H-?n()qJK1+ z_-c?S7JgUZ?v_CFbpJW^Sm6rW8WCr>(g}-5jsA+0cG@PQUBCOfcG5s7LD2p}?|I16 zhLSl#Nof_@Y-imO3n5*5O$Tk{HrJrEP>flS<+zk~Yl{$W5;u57IoG{&*QVzbZzz8j zX?pwMc72f-$bmB^(bKeUz@7Sr5EF>-Y z*RgTJuORNq*in+El6&NO)#PNtlw$NnI1{~IlU9U&0G`G8btmIK`XN+~z3lYw5ArQ# zYieTCM1D}U)IKc!k)!o9p>9VwOZN6fV&Lg=^^USmO+S}w*~IRJBx45RDbwoY`vMyH z;|Ibnsz6*ld#9BpHX$Bz3Qvn|kBj(>11rdlR4dMm2z&s}%J<>QCf~zCs6DfoET+T+A<;%LwJB?}$9tb*D2&m&-8;86I3l21bZOCvzKcOD%k}Ec18Xa@aoqdlBf`EZ0 zQh$Q@jWn_=PGzzdnH!!(%_?;f8j+>jxXE^SGOowd8q}*38U`=QLAxToR^BNq)9_O& zYt&YRA4>MxLLi7FLr8POC-DsQ+H#xhoL6;N^C&Qds`v{6NB9Xy6YlRG@+71j?PwR> zU2%tzMltrsWwrH>eK0$FCQ+J!O^Vrj_9Q~Ctsb!Gk~_0chV&a`z7k^syHVKa^eO(A z;sHer6z|EGRUQXr?3tgUwobpbHBC!3Z&Ed`x5`1TFF@r#cl$kzwBm^^QQ0J6+(@x< z&K*8k-;FUU8g&x}4v|7X%kf>eV!^t;3X;=jO~kDFeJdIe%I|@2mG6sS3FI0*M0l{U z&GhFLlshzT1h3wT!oq9iMa7to z+Af}0sejFs)R;MI{MoqqyiF{I^9lEPQ_gGHy8!WoIw*5sb&T_V#$}evr6oR1gryH% zG;K*uEeT;cbfnw;JR&36ph^V3FhRm}0sQ;`?auET%~`*lKt)sJ{d_wZr}N16+-T4C zy3%|osbkydm?*pFHAUIrzB3PlHDco5c;|^dIx4yioz~~Vz)|ICo+W8T&2zoah`n@q z8?(Y~m2Qz>$W|JCcM|8zY)ke#f|%oTm`z4BYu4}Neu=NO!B@r}4d?_LZ5Whcju*h_?EdX}sVMGMEMx#H!^ch;yj#1TL8iE4iX3G=wEx82p+*d^%9yZ@C^VR|H{x)m8!dBKkW;&_jX0 z*=UNXqvVrae;2aGR7w#h15*gy6=Lep5VY>NpKAfKIf-Sf&(Cux5El%bc`=XRx2{qVc)pu zUKIc|9G6vw+#69web^wRZqptcvi9Dv7;^r^N2w4#E%XNN=i*%+39K|zYI zBGt1qADl+BUtZA0*5R-?OPJ16Iu=q92?sy;@f~|~>-d>SA>}kj8m^3gWp&NbYk+T! zr9jM8r_OQ*?nSXXZTG7&MEk&A^qzliIcxBqtGf`dN|r-Rd9gb9ortXIc}0y*(%G}l zbc}^)+UPkJZAk7q(_afkYlqk7BW5zlMDiuGD zEDsEY)(me!eu8Nbh8g&FNHP0paQK4tA|OJKbb)rZc|v0k<%P0JJ^F7Ef=(o0w}|dd zIMOJ5&k#QQHWYSf78$mYGZTJJHrtKWhEnk)ouaT>QkY3C6tt|f`PnKO^i~V&1@Qa5S z;ailY!tTTvmp#?^zQ~7OAv6z)nDSWA#c(7AaI=n60I)&7TV>mkJZ);mLL+;MiY?_OzQq9Rv=wNC6ia|A# zWbNUf3OFwSkHLh%|@|6`x@hIWEVgUCT zxox8_v;8eZvmN&kcPAUDU>_zH+OuLMdILZBLzwkIc?ba+{^*|nE3&2#ywi7T2Cib) zp%l=8lwCXX1}QibLDmU9jZpuv?srX@-Iz~ACv$d@SIfy4P*oh$gcX++`i@4Yd&Rb= zUQYCV^D4gl=m8g9lGzwd^Ol5r8gAxra8b5~ZBWsiY_Kp&gL{8zR_Aue?uapmija6^ z9_AcbNdyK@oO(-sT* z?6=b2GnYm+EqT&8BpVcVisq&IVa7*n*wXCGrOP~2n+yss7F9UX4$BQwr})|-a?mcM zmq~pTrEI2|8iTAuayslGmH<*9GmA>{k&UV^roUZw~>Xhd+ z_L1zo2ZrQ8e68a!mPF$QIgx>uY5#b6ycH^*=&$V$R829zIZ0VWSp_Q#l#b&(gzrd+ zZzAg+fEw-^#wZ7qr@LiPqbDN*@@8F=IZCZVV5t|Dgm5E{M=xQ1x?o{)x2o>Wc2)^Y zOm-vf!zX=gzd!nYsa04aG<=GSwSs;OhAk_wYVL|BU(Ka9M>yn!4#1AHz=dvahfh9l`4a)2?$8g9|omPLB= z`5!?Z2WNr8iuhSdLB{r0Nw`{sA~*wtrI(Zgda1c~I0v4idby6JqzpQv|0m8YG1G5* zTn<>&@GzWucVy#dzCh*dN z=4TYPROC#fAa%eSK}rR%Yy(t5Ji-k286fvVH$Nze{AvN{#Gt3n)_JmB8YZ2mf!(U^ zhddf>#<Fgc1ki5gGq^6~XTFjfsT_D3O29!EkT=b26&+X_St|r+Yyp zfq;z~3l;1`WX(#ajYS&Xf}a~DCWE@>n_^ZKocZ$*NDF$jWFWc|oHXyKM&_egjWHTE zUbv1`bA!93`TS_hlbV*cf^oJgQ=!)%Dwmk)>ox}N9sB>3V7#~*2Z{~h+VDi|l$L|o zGeD&qV;%ld`D3Hy_{g~$?aCh(1;K}vU^ajMO^N;tZ^1dl^`Vd`3X)&7l@3Mtnp9 zvY4H%`v-!=$>JRqDoYGr@|7_eLTk=Eo&cbXgUoPLa#^})BkaS{R(UKGf1wgwcSO_u z>@Hqxq-01$vRZ|;&4nP{AF@?gRE;K2guz16mA9u;CveTZ_}FPa@hs9{WMG3lR5+W8 z0EQ>ks|kS7uT$PwIu@v`f7PNVanBCJu=a;(jzPj-e`}8e;{Y#Lj1})vBajX7S1-2) zLtQ3HC#>wpX?88}DsVdFJ#P+*Mw`qH;7uE=+qFJW>dHZaRBx!B4i|5w*;>eu?uc)Utt^}9=fymX}`lUm$}UI5jv z@w9%JH6Qa?Z$BEBv_{$SqJNo%5^G*npRD>Ug|{|=6$D+cO$Ac$B68UptE|g7jW;u% zmmEAg^TaAZn(+mGZt{er&N)Ogo7H<1JE;!&GB*cB4ebHTe;)-+=9S)*fFE2!q273hzV!q}A6v?=It-lN2+znwo*oaQ z_2?%Uuos^e*?ZSS>brUtL|9}=hP<}p7~b&+`Q^{nMzGYfep_Mt1KJZTXbOL?Q1+%R`Nol1dru$ zh{1$4qUZm01;%X6DB|i!at080gBi<`pRd{k69;i-(fo$2FheUMDtVp<_qZ@MF7-9m zc4Axr=K5rV^F4EGpVc`+aQ+qGo(Uy&To`YvM9ix++&D7Yg6-~kv$AV57^!cN%$MS3 zzNDQ+kHm1tzUV9H5hay7pb>kOE`Z-tejN)><(hdOy^Uo>IKv(cFE(Wi%QG)^u&B_tdQh&u@-5xls z72>%bF@}F8tAc#Mqc)ZOnY$oKYQs zpI2Wuq&Ff)N1PzTV@K#kL3?{G`@!v=+7{T?0l!MqDgUlyz*_iwY;m5!_4#by?9%XB=FRa5FllEkV|n94prlg6m=D=7n9+PFn7 zV#`;Tl+w@qiU;RBzzB{6rFqSq)rw{3#5`qK7o29q3!-z7sb^2xWZF)eYN{mbTEo#O zAZn6%;a660guJ1#8P&SL(PcUtdBnn|zvRO+Bg9}3{2e84v1I7rvCvYGILIFMF5B!G+q993gu%z)n zL^>6Li|_kOu;PlFc?z3dd8?Kii3uz0jK~cJL^Z%U9 zeBRjRo?{8P0Y-(N86bKDLfoFF)G?*@3EwLK88#w{@4T?ADX$6uH`l?k!HOT*%JQ%H zwhR+)Uk}%%{o<^a@h$Km8tqkTQtZ&zaHY>{PUeT&X|TMu!WUD*W~vu`f(eEp4OF0; znF_sxu})Hns|!nOxk%c@H6<~}*O*fdjbdq!$ctL_Tc{q-At_RES~d!9=f=cBSWFFygHm{T5L>nR#@*)-I$G6c z2;X4pJnbV76Y$l$QFKjJytr*R>%ef?lxz0}VqI4(R&Hvlct)Qi;BQgtowR z77b;#PIer~MRH1HV^V0Tlht05cP96c2y6i$37Z~{c2J+^)7<-aX|J;TZD|8zV z$|)rk&wJw5QxjqL_Zu>@9*pRL<23pJC_h#I6Hc=xdpAN}j7NkLqEy zTwM*TdR?8i=B4#j2Ej=+_Rvno7yUS0XDZkn_m}sTj^x-ybf|M)2g1-9PW#uuke+s&YKe#NSs;*Ap)sDJH10j zh3%Cd>J%OGRSYteu`)J+Mr6C~UG2GY*n)Sk_je*}sCY9vbWLppC2D#)SB}nE2*VH{ zw7)-!f7#dn#vuM^(hE-%kv+fiiV$Zei&rq@l0=%b9OulDIUr+7cH#rFxHFyRz8UI> zkn5j!=rlJvuBkCGoic(GU%T#U?|SH>RW-aD;8n&&!!-METHu4m8$AQW;e(CjZ~efOoA0(v4vH@3tk-;z>&E#*7P`W|l3*5u;Y<&e9>{qc1j%iYb`_=l?Y7 zwn|BBm2Wqai*2q~jbGNWmMV0SNblr3eXrL>eo=4_^O%=W%PR2rwVVOKGq>>UTd!#4 zoQ+;3>;r!$j)8KL=i!_yKgpt1)7R(A_v~;fr2fELWjdGhHvVu*-)aoc0GIM zn!=mK_TZ@qq@s-WI8}G6Lnsyt`nofRt@rN#j2-b-`;<{SPZSP7DUEOH@{2=!MaY7T zDyRQ3Vzmp-s%|IRxB5TIqu@ffuFGPtfnWv|(FswMu&f#5$@`~hKjVN>^XJC)0ru%$ z2~UU@{;nn?Qh*BQK*PUIFpn`WRpa#O^7`v(Z5);4Il7ojs1r>yVv3%ot;5ZW0Is}8 zNA1Hvj6p@WpM2Qx!unA9t{(w%jd@sphW3MiGYIW=ZtrHan3Qt29sze8Ny$WfDIX{| zoI6W!WpWgqgWw!4d1P^XHac=k9X7{ZxV1F^g2pJ@fm{3#^Y_h}4JXsT@h$-AaK5uE z>QW5m+!BZ&hg7hr@2 z(3BbKqa~l(4Njlt_E@Cwb+eUtzjfe1yu25*E`WlvjeoxpfNaC2#rhi=89_;Nv|Aw| z@vl*lP@QMp#1VZo!?_%H>Y3XgXJnN|sAX9|tm;wL}LPX&?TxuhH(UnkT3eYq7;kRvbYN?W^ ze+W*1D3bA6x($NyO}CIAMa1vCJ+|y@oBY1iX<5LYsK*O2MiN|lrh>9crRh?e9y$Jf znQat?W3KgYR;ERtw_tAb*wcP9rUX@vFPO`g&dQz(#Rj5WEMXAP!G5{s;YVLfWvv-u zSrJ@8wmFs3SSWu>ha{HHGeSA9Nvm(jsjeo&DSZcXH;1-#qRKVLib=SvnlsKR(=Fp*2S-Yc0B7Ub%*p zSfj5UU}o_XqW;Rd#j&xMb`jhh46V>O7ApH-)(6@U-vh`?A$%PV3%r;ztc&(}kG0CI z1E4s^f0x{>=K{~<0=n}+?pnJEA3)~Pm_WOo7TxHAfLCU-j$514%JP6Ft?BItOQt;; zIuEUU5aTHM{{l8u+br+AbV@>q+6`CQ`BMbD+vDJjWR zfiuMi9|v%yrvjj*;8AnYJPRD{#aAGmMPv#jC*qTRzR6R;y z(XD}G_5CPZ8hAoZNSVp1p71isTDSpWO%>a93=DOk82#D=Jo@|&Hy%j65TSZ+~VH8iz*ocgQtOF;e( zslbTuHd@+2tt`D*op$C~*qr8T+j{0o)crX&0xHK88AjJX*Qk_*ma{0AoE|D_V)ovDyJBGPNZlFRzOn`E zYKcCny7@-@q%7K^E#Ur((jioRA8W-v*0&%3XP~KP)uo6Xdh8w#)WX@at~#TNWZIqK zDRvii74vlIo*V#29>(D&5kn$qZWH!$)ei@hJPSGJNm{jT&kPy>o(WA@=;V3Yr(oap z8K{2M$k!Kr#t*pcBa;;M@HQsmHb6p{wx9;O|0C8WN-D5v7q-X;ma4jTSx$~Y*~Rzn z%G0LVTYH4RC7CLC%3!dzir2Cf2%2rOOn1Hc%=;xYU(>>d3NKM0y#QXSM3`v!vl1&? zKu?a|#rnU(_m50jKNwzRCgmHhF@%6X=!io-{WRtuO5WuHr1m2*ej#Ol{4rd&-Kzf| z+;|7Ll>_h}OK-j&Q4VwJ7pXkI9=gN_qnsfus*I;AQBj}EwA&Ab-BW24`_GTUjD`+I z{x8kJ3RZPNk3RD5s4wY%UjzBGZ-wRgiYeKgsg)wF;03b-7aYCAuG*h7pepu7Vy4`bxi9rR&Zk$ z{txY)meCy|H-0eBv>YbCGIpP1KP!YHD#eKrMJ~lVsn6owHU{D;^JpyrAZt1zya-Z& z`IVKggbWwt!VN7bzW3IXkXwgd6_s4-+b@U>+pNZ+t?9?GEh0ICm}vk~x}K9)Ljz2^ zc=Eiyg#{E-`00Rr&CK-`=>?KxAL*O1(?xJQM~w*B!_~Bz#2#F1u7QmqbLuq3B!9g+ zE%d*lgEN)_mAOaN+^7s$i~=zEu@?eU*5POtWHFNVt4!k4UC6Bhy7|@U1{TKu9%>63 z8~;P@jvqXH)GF}Nx~2b3#w@UWC1S~Mq5Uz($ubY2Ebicn?aV98&ons@6npLo^%dO! zZiTr6e#woshNCNAq`vU)t-HY25)LcwqBUysBO-z^yMSS+bNe_|wLa2u(!Y>nglBUG zz1?X-n*xx-Q}kr&`Aj@5hnQhlm` z*$y1Sy3?^~PKoxiQjIe1g3IwZNV`{H%c0Z7_jH1yNis}aIMpn$tJ3l1UOYJvWl7m% zjNLh0q zW`f1%$(HC_bghl%MAiq{z&EnU4e;Inly&_p(-aArK@8REcPXxClc`1jTKwFM`rBKH zfI8df(N2tAz^~yU%4@^KLn%*Ao`5`=Y)1b4i1=ARRorA6ZM*fR02{!(HdS2tfMMKM z;UNMqQv+PJ?_1p7ip&;2KBF#4A?1-}2Z2b#E)C zw(s>n)csuQbCI@n3Q@tBoXGH26^Jy~&FKVkLM(i5Mfmn9KIy}(+;WD_M-HWOhl{I~ zVD@3-$7eq8Vi{P!cu@oZLF?5FNs*H@`W`G@wcBPphTifNB`M5^9tRT{Xamm5_fQ(Fs5rJ3XCB&*SJP_T)9>d?)BZHj`vaX zdv}K2i~fxrdQ5ztA6G7ru&hpXcjD|i-*^*lq*S<2tH$ZT?O3UQP69#DksfN6Lw+Fn zwd3mXN@tnZOtogZm;IOMop_P`r=g?R@Q1uaBH5T5dPB3&k6GO)jjHYi6Hs5r$NO7# z#)`t>uG%as8$IAM*)|=$s{CO7f-AZ>C6-U0J8(A8K?E=l6q0<857Cj&(NxT-!Tq-co%pi7_dF2V^CW1b9Gj)vHK$qWVvYk&WGioOM;{PBG~A>Q!K^u zNhCRvCsu@F+}~*F5ki)sHb?C{ibt9+ld8lXLq`(GkZIH|_*yj31I=MWGF6jb2za|Z zF~~5P0B4sL082_z(`7zyP+H!R1Vb8ztxja$0xNxdZ7@{F+d`O+ljh$QyZm>$*H*J`tU^+ZFVrqP+H`S^W#)uIc4Xq@FPP6aT$Q``^)VsAL^?d0`Jq=TQA)jy7cf$GIe8t?d3p1EUJe+Qx0 zEyH0jB-E9vcWO**+m^w#iQH$GF7I&5CjO)dDN4)C7Nq@Wdb^Zerw*fk>UOb;(a)9L z4Tb4#Xt(u#H*Hs;OsuKbB}0@SNdf#^k(oe>#|-%c8BO!Rt{41lrR{~A;Dypx;RC02 z7U#$^r(ITl6uMBc6zF%TGS`9RVd?i?_A#*OXee_0hYy{7Oxrsn2O3g2^7W;;iBh>GXY;A19>*MQS@ zJ6*gkML!uEs#ZV%i!`y!ogkg+r$V**^D&^UG=NfKrtV~}Ut~%&!)Nr|02^Kc+7T7? zwNBN-Odo{;MWaA@>%PtI5|bS7`i#+r`m+j9Iz+X5QzYJLEBfNPJS*fuV#-*l6#Jx5d9TzBj2<@ex?KDuNcF7$&@`LFD6AJ@9WEbp*GjbDp!fNJI;#SUOi7U`AV%$ zIiwCbZy=V$rKgS{40QzwX!q$GrD;j8ju*BxshU4ZHNu(d$n{cT2HMolo2vHd4Q5pw z$cVt==sFtJUAA!I{OcVq$k_I}7e4!QbP_{^ZPm@sROxqQ(({&Yy~T7QJgIOAC^+{P zUL@pFk-13+ka9Y?GtNNpSm+k{H#Y4XcsE?5D}ccGi8f?b&gb=B0GD{nMR_>CO&m7N z2VxelAj=x2GV*WCJSalq0DU(2SerT}&OWy7X}(*Cti56V&g*LJ3jYMRHcj}2lSpVe zc|uN+Pgbs7&w>2L($prD?fXN7HhNc-2UvSYr#S4Yx>cJ~@l1Kn?fz;Kv`4(>lYMCq zZr!>#NQjjF{*cu|D>2~vbZH^%7*Qd&yQ%-C^SF_kNBKi85oj6U&O5;3*)N2291psT zp1#MdZkMkjRkbVPGB7R3%4fD;oekjr(i|Yh@phg~x~b?X;rke`F71~y26>reEQ)8k zzmoBL%(RbnPcn_yHfm_35NCiBS2gZPnK?x=kx2kq?;pJwSi-n^ z!d2S6h^Vs#GN|p{jl+J3ZVmd9vRGK#|C!$_p2_Y% zxuEE1t4?KmFRyP7_(p)9xL@1fp6}MHUCVzmqrpSUuv}W`+BE(R*3oG_2QQKHFc^!p zzBIJK-?q`ji%z}vdE}d%ofvEfl-)x27kdwMf4ri@0xdDw z>Dk3LkvJNf1lVq2E`K7DjtwC+dxyGwS?W2n?=%{Z?B{x|dWnB?=5oicJLAi*Xvg>i zQkH{`9g1uscN)GihWUyNr*dqYI(AwEecrn5u>{7<47DC<--dm%60prAvndUz=*w;Q z_?*bAKWsjA{G`$)TLScwx+74q6zc?|#tVgH8{s9LO+Cyxm*du6;pSS2RC|zcAyteK7 zjV83pYcj&f|JTVGs6PA^{&p3es|y81rP+xaxTsiQ2Z_Qj$f=F*G6YMENkq|wgViF8 zozM~YIqY&{c%h8X4Bk63p?j%R?Ptj-NK_ESb+&}bD5k7=tp)>Q3efF8R85tKB~vi8 z%Dz+bL3{QiU#9g{h&E?k?VKDsctt7L-)R^=Q8s&VmlkT(0Ok6<3Q(Cb!%yi(+ZU#W zpT@C_S_D(UBbs+kZ#|74A+LQHhp%|_Id^Jd{qg-MS_t&aSUVS;q|4}OBag&%Q z5nr74Qfo+l7vgNORil4E&n@;M%&z-D zAAwERm~y0At;c5yTfkii5{@OK+rc`HLSmTa+K!US6WfmP*$En(uT7T)l=%YvT}RXV-6nlVt>NDoHq z&Qt<1gG}`iBv8^tD<&np6Gk)RXrk~|Uj^kll%n|J5jc78pqAHJwTWnqH7kJ3J9nYk zY8H6R%*r+F0Z_OKSp^Z6Im+&#Eu5kGyz-;TJ67Bxc&HE2A{I!u7r9uXnMeZfK(;mc zjg}$PIzB}7;fWH5Tt~gV7qQzcv*sHoM~;N{#ms6e$Y9Wki$A|Nt4 zWW2KiR=bO$d380Ya%Q5Y6QJWl{W%#wdlA_)scjWLG3lB~FWWL&%EStB=_-Py&oH8! z{nUCcnSZ|8y&V69QfUvdQ54oy5zk3ze)z*2ph6-2{a<$p>(KZ0#U_@)mm)xKA^Nlj zs(W2#3NI*k=Q-c8H9uh|Gql?#taUZN{^L{WlU6O`0RH$|eh%!cvT5jm8K%>)3MlIE z8eZ8`p(qQMnQiDciLWaDxvDB)EA1T`WL?B3Em27=&n+SQ0!p^cqVc$G?N2Xwz2yO0 zUdB{bybpF}B0k9QB#IeJu9zMGW1=~T$d`%%H-NL?p=*@g8@|E2D^|Wmf%%zq(7l9S z96!!(Hr^6Pi(Kbi-6#19TV)G=VoV+%q`V!*I&QJW>Po=42Qlmt^VsU$N^}s0wSsP5 zA{WcMF{6!7{}e_7SSxbs>&4GQIPA#DT-7Ze%BZknJab0nWLfgigm(w(KSVBCjUj64 zXC|BePNqTt=@gAUzoQ$X8>t{aQggTDnKlD04i~m_OHW~b2HjYV$~&M}u9r~GK)zY; zxl`>xX}=MZVq}E<%Ih(KN)e#!o(KQDo)a4Y49}S8 zT}0{r+p%%aIei15ko9ZZ@#g=P+|*t;_BQjWSL6|n*U9jZLR=qFbI?RBl~#(^`7w{h zG2_e>AoQ@6W|?`q)S{qG;g_0ml}B?54lM*u#%UaE zEPhYjia^=sCY(+G+gRMgKZFwaLC*~KWK*YEysmxi8+QU}oARp^M+;kkwjN9_|5KRz zHz9o^WX=J3WTgONgRV8cmGy%RNY^nd4Le)8U(mT9-q`;caozSJe=Rt7!OBaS_L%-7 zWoS!ET`xt3U41j6=!I7g{QCQFOYC%SmCP&P1#Jujl%Vzdm0o$=rxj!IbNO?~@m!XTC0hQ~iVwC#{25Ub6t+}XM zJy8pcGok5PCz%5CZOGdK^eDf#U8K<{H?V4jgz1RApW9anfEY2X2fbHq3D-JQ9)nP@ ztB;AN+29|h(I*asN#Tg}iWoC-ZtokhTOi5|ML9OpdB#D8H3Npxl4Q`XaALX_!JfD@ zJKq_!9b%>W!>RPAy3&OOC_2BMfVEc(ShzJ9H(zjC$$@9u zQN*aMyKy@m_&eE`S^$H96?Zu6So{ubVa-ImD>$1(%4C`R7R5PIhC+`S(O`eoCRG(h7q8kGcf%BN^&e5Y;6B)$1xHxF|aWH z?;R5X6Ehpf|67vlG*QM?N2-nK;{N9!)b-!u9)PpAcl$qUZGV6kVLMRE{*8crXNh@< zcdu==C#q%t+OyKKuf=VJ&yRpyRj~w}t%Vs(a(#nqiJ6(<0YKzrq$NEAKw7#QMp~K% z;`rE-z|3mD?*`%+OF*1FK8JR0k4FSIKy0?p#_+!j?#YccAQRmxfT=0~GdMgmIXp75 ze@H~c*Iuk^EDr!9v06N(KrSGGkr}kJ5CM8i)0;g=h8D-)?%5tbpfcGqfT^vmY$yK^ z;2@iTczi?xt-$X129WuampC%9m49UpB*gjkLmY~-H`?s%D^GN^t*tGL7@I7NYwRh| zvNHgCd=sbu=sAe9GiWBzF9l}4zA^B36$==Mqkkso_=TRp%Ix&U%s3*%yG=b<27pbD zZ&>?!CJ-)QpBs3&{m}*s82+-%*TqjKHecXdmuxvMoqFf+`rsPwjo( zXSOts;Ond`j4Z(wzoqdv@ywkOS{o~BOH%{jCKos1cYz$tF$Bwp&n;fGpH6K`O-@$L zTA!LJftFGe|0IJ;gPC$0C}%rB$;j{HhmFvC-3-n-jK0~S>A~?n001t4fEzOOC_kJ0 zQ$6@EWX2!EU+uuy)b1>v{%aRZKKwY$`xks*T2cZv!v6I+(DTD5_xl-CKnA8h6q5rO z2JnnvE5zT-?-mTp*V^aX4|m`;V5fB7Rvc#k^Vpmp-^Jf8gA%uvRoq|apT|ga<)k8( zVr8>m$~Qg*k>MHKeW95F@O+cK69ZuS#`*?8b~X(_o*$Va6VMOovE9I8tEnr%t>49u zkNn^2^`{!L{0}SPvcKP{V*S@nrvSi;AGc0iM9#$V8~y3uneQL-@n7A{-}s~7&GVlM z$$_EG4|&;V+R$GZ_J)5o@9*RLPAA=L-K~^>d=khwu6ZShBU{6}+SvEhe_CF(Mv!%Yq^oQ`zb-leFEjGeU;Q4iso~2P zsKe(@svpt*-N(mS>R~IHYpEX$7Bn|_|Mz{4|aCf?&TruVR&zu+-1Jn9{ z79kwqH{Be#zUf)`{a8+8BOpc$Zj5xbf1jQpvl(K1#|J)~9}`-sAHz`}vumm!)7f95 zpXqnckKZ`|6X(`nSbgJP*!KqGU-H1W+`AlZ^&jvb*|A^Zug=6@@pl%=?H-Ze9MJss z!uTf2v9X=a@dN(oG@yR--;ep`uZ!~E%G{&ez24w6yZ(0@glVl`;2#oPYhTh|>d@<3 zcps$c>G#y{UD8(_)#@Li-`4NlF@9(Je-D(w_~M`6Oa37~wOefWm2!1#X!v;Adh&x$ zin_47e>?eR$A7vTi(SApwt;d6&H(yj`71h;(Z=z!JN-WEdiEmt?fHGm0)ub{&m^d( z+03{H(_#a2<6VXJb1vG;JIo{ATazv;ebaQfcJ&YokSVC0g4=fPMwi9B64%;7E$c+q zB=vmZvakzJ8{XY45cfHre zeDwa$LqaJLnig*p{P$K`Fp0k>g#MNSf5~Bts7GaXVYFQI0yKF#0Uhmxb}ylyeF3>| z&Oo=LaCUcl#_-tNhdeLSqTi*F5)$Q@2R#SOb8SNF>m?9*%H50wUinVbDBOh8UJEuu_(X9y}f-PRft(=4; zi8<4S0z52iP_#fm&lp}8EId}7=jHUXDi6wt94Al-Od3m6C;@R(GE5VtaG8o=qKPUf zv`J)YWQEoVfwR+^^m!rMkg-zp=L9E8wOUN6-Pqj9sW;+2THnrCka8@iEnIt#5nQL- z9UAAAmkqv00Ew-{b?VQ0Z|zzml=eN?>SJPxRYT~v^?u>bp)7`Es_m29`LIE&)aqq+ z+1=kMoqMamF3+L$II_VT7Y319;YoZp~R+uL?WpfO48ywqv`leH(DsJ)jyQ*5>^=f zg2?$G8B^Vg>XY`1Ywsfb+DwrbFR)c=y78h5NYgoGpERoC>l^>0fR9*v*xI9V z`WZ()7Fh!dI{*A%Kh3VJgcqMgi1M;mdURs1> z%KL+S?36D-1G23Y-kU#lO`!KG+S?%dYa)A}RBhvIUq`M5^r9S(z_<-5AK@dM&ci|F#NL#m|iA~h;; z#_kCUk|7*rVN{t$d{EH{a!~gf+Hx!K+U5gW3lWodJ-(vIn<3mOf6|5d3A~=UKPq z5ipg*MP)Fnh{w+IEdPyLdU8wClTKdp9(;11wYcubH3ZxR5p)epuNFILSCOzt@qDS! zN=Pe$-04?6hdga^YpdninH7;~HJE9xK-7jv)+$8dc~5ndwHZIQ0Bt(>v?PBZ{JT7q zP2s~dMLfnzsR%rr$&54=OfocRi=)nTG2-v{R{Y6lt-g-aRl3doOP=hs<2XW-mH$qp z?^c)V=fz6oJ)SBFO&`7*R$U}K3irna8CDU@aFXm)zBwW6S`1CmZ_9sS$>HCuM#3g; zkSFVe4&JAS*0-u@bt%#w8?PRI^X~k7bTN}zG}W$9Ls`J^`3IM;77opGk zPp76b_DI0=!(bLrg5`bAi`5NfDDyVj7gM(Qy(&BVSn{7EeH98<-&e1-2!zr`ri+W@ z@?WV<1(QLc$EWC7#ySkXw8sMWWAfbE1lq;OWAWnm9&seNcmL_SJzv*X{rxy%f!(VX)B@#~`h%Bi=0`_XvqP4ChEv=Ab=+M?T z>R{szL1Cp!rfdsscbmb(2)buAV8n|n1O)RJ5)5A8nxWx#W3x{Lu7bYdx)8#=SrdgY{>2DLjdXs%C5Du@o(cH3E7I$TJYbNYT z&O<5*1dsMA4%(af6!seGR{y>{m^^JLKI#Zd@fiS%Y9 zLlx5I?4-TUZbhv3l1ELGh%$o3GCb8lr}6zeQ0I~{?mOt*Eh-+bq!>`>#MguQzc0}~ zs#S(OjA8GSm&NsbWNo{sOCMlW-0A|!GtIFEw&o!QLu2979;w(CA_nFzC$XAS^35-1 zm)*!>ihvXdtF>B%a4}Jz2s+mUV(+*+VoEK3>}-SPuJ!v9f_B`v_rfQ5A^Hz}IK|xh z=J`!&pSC>g4mXX$!ITcl|Ax*%zx#YA8bgHlkg}to;qTGer5~insb{fa=N2u^V=it} zv6gC(*D-45o5c@FWgYFyE<{$Z;?Uh(L%==OFp*;Y(1!;j99?@7IcS`!l91A&fVf=`-13aqWO0GyS_p_19T9EUSokpL$aDdP1$a}n~DJ$!OY7<4CCosPen z&ma&bUKhrtN%<^{?>ih&36V+(+S0K7{Usz(zDj;p9X2(ehVjd)gp(lgKU3EFe${M~ z@|B~3Y_rx@$2S0rN5;AhE}B^tt>m9Z3dEI=ZlQ2Cx`T%DhL`Cta9bbat~i-%``<$9C{91jay*cwGD zlPmW)+0K{D2gAne-gzh!)i=A^>IQJv5@q&t&GZppqm z`p^RetR=OpmY2!gKVIvdQ|VPq-#F3xH3Bi;K>9d-Wir+NAs>f!g!c`7L}*lewFE4) z=nOcwm>gE=vzqBE^n|-@PB~nTe5>bcrPW7GmHVe{#;5a{jeSk5mt4G7s4XhNZqxkM zmNLJ(#CP+Wn)8{n`a?DC2dKuup>ODl=T+6X<=6L&&J2Gxy@xHGq}Az_ev=YP@bl5m z%&|Vdv>D>889!cGIT_9ykI`{~QT73bv!<+_2I7X@Qr*oAv`L?IK=#dU_~u_ITY|8> zc}Iqf??$rh8pGCdAzj#q34s<8?m#nEsZ(eQ@rUmBhwxnR7RyDtr?(drdmSF;*)vCXK@c%sE~IlTQr z;JkHT}+ zjIl_Y@@BtBF!aUZ7a;`7me+8vVE1*;0AoAcQqEcU$B=njf-EwN953PEi*Vg0GP!yW z*)3-x$WbpQZ{5mPnmB)&nJnVBYt3O)WriUHR$15|zDv-t%C!`>c}k`Icnt58#g~4q5has1p1Qn zy1QlpjH(7Sc1kRGZmJzJCK{u0k%20AnyTm)ghP5zR1xwfvv(OZroDkfWR89&vhoHZ zoRd%c4^>#G1;uGqse-TdCYy8;Grt7gJ89&HGdm=CtG5h(tj>?2|w+=0QO63F;5ZBa2HTRGZWr!2nHo zv?U1Na(Y3f_ngaeN;P@V{-&gpv@2JJT6sb&KCFS%9^k{ScK1-FI36F;D0S_Sk&8-9 z(`h@nUto0b*v<6QvzV91h8Zei?q~%Hj4>aGw!D_n)UsDDFIgNNiV*f29sl%ZWPF$w z15g|xz|1wxL>-(`^aFTaF7t@-9yJaX3W4KmpXqwH_Wt9psx#}B*RjEdrl>gs!k<(y zg=cW)WIHFT1C}%Z7;*Uy}#k>fCOmSh1}Xb9ocKhv>Y7rt`Makw=Of ztO$O}TS_Id81`|Q9q1Bb6&hxQsxCRbuRem|4vw6&|6d zc)#=NN19<6b@JiYZEO&p4LXm)0t7h*uHJI-G$ESg+$IHh4T@IM$)U+CIN8D$e3H)| zTB00=rX5yh%b!T||GEKVMns%pNVQxQwwN8jT&C7-WSV0_krer2r`)FwC)3qyR)5bf z&-<~B;aEsKYz^uYGNit6WK4qni=m&GxP=%ot3O8@#TZAnGh=`)VYpoMv?_HkoGFz< zMgbV)w=K*1W+xztlC{;S2^l#qBa5ulPpd?ZuS12Pec9A|>DLl@@HW77~>V$>HELCWoiGV-H`_}(;I||x(id4VSn*kWYWA5J~zxd9R$A5Hy2TZBz-&u2_aK;m4X7gdC;vld_FsMHn z=q5tAV>HZ301*U35%i1(?x7H|4W^PqvG$_b>33FMOa-QgsGwIb0b65Rq0hPG1@lUP zqi#i)?J(*`V{{(rEzuc)ku`9f-wSBmvL)kjT1_6gtWBvt!a1$Lra_qzbLJ>=bf0f< zCc6z=stZvAj|;X`s{%&o8@IZ#ySXQ;1Ai|Z7PA0DWMW}S?0hV0Nlt2$yZ^Rz)x`rn zY55WqgR=1$VZZx68)DDX_x(&iPGCx=X33WZjj+~JuIbsX!hH5qTt#09 z^f3pPxdaj(YTh)n%vFmfMywG;$WW(DM6ZTa_;hAU3s>1ZmOERZ8x^5z^{}U`Frf1& zeZ!g`|HC_D9rzC;x=~zNKhpz^&eUAxh!l6AX!-QfJxP6l(8HcyR2<|NU-u%v!+*M> zFpZJdnOE(_%9R)(cCIJ>GBuq;2zAKR?2i$8rc=GJ`qsDAO^4^3F{KpALo3Q$T*lQO zc1#tS2O&{vA;|MQJ)7VYTA>}qc`ZqKR;xz2cI z!$pE9TP3dp&6Ta4D98eFj>LYrT_t|tq^rUbC@>aKA*iOsTEJu*5f*_dEDLi)zshNS zRWrmh_DK&Lw~IS;d&w&7E9F5-5@2ROZ5ze^DS5vD*tOYCVvm)3tyZ1_FxW&l2_ur# zx{Po*Mm9iw&^q3#j~aekn%wcd$6glW*D0JJv=q5Wzaw&ZMi@jHZO|o>)x(UQCqD4IAUMK7C$ruHE#bjyh=W=+S#nMUUDZhoH!L0sY`o*~x7) z7PZH`xWoEveNa!(ISqF49Clma3cCP3#Gu63m`xgbI*s&nqQ{ZAn26~7P3DVkf#QWX zw7=twXCy8-TUJcDAvpwo>iQ7Z}K zID)L0kG}K7>%+Bm8sJ0rriMwj zA&rfuC|vB@D9_&)f(wrT&Z0vm?AZmq4-kRJ#rVV@F!+glDq&gF1a*qcU7Z^^uIHzlrF z2ia1x`o&PgUQoo(AxAi3wJX2=&f}-xE}IUyuhK5iqWfRwpDibkn(mrzYPB+oNcnzk zmPedBqmF^sRak9v^Q5#uB_#KaW+Lfy%fgg`{$<89src>nq{icRy3PgZSWGNo8F%b* zH*zTz$)}BGpxMb4=P~IPbsThQ_-Ii40{O^~yX}KQ)BRF{gfpepWDpC{KzH7vO1wu1 zq}EgDl84!VbG$KsQ}2P66qNoLlP{HD{cNMg!O%LfJe+4+SCpF5%3y-2fIv-(mdm&r z&0EoH9Mn!lc~{-%#QQOW{%d=}1&^$uN{}Hph)K9?W>+)EdC>jjOzN)tgFgm425)xnVF)Ys8B8UIkZi&hAuqB;2G<=)5X;sK z_?>(??0ZDLO$V`mXl^I95SZEfgeuwRBSNA>U6IEGJULoQBY_qH9dI$=lMR$tl2Ugs zHFo6arY&Af;hbZYWW7&Enh4@yD5<%%$hnYwU_|O^4`AQO+hVfyn5~3N4Gtm+vSWY) z>7aUlga)Z^nB}968XBNTSGe;G9JQX%U7>7r-WCoO5gDm#)59S7T{?ph0*Bm|z$jm1 zv)sy$yLr9YOR)7#=j7iNF;YuL^Ls$c596(DV-1aANO>q{(oA%oGFn}hOuDf6!364a zk@&f{B-6L)Q=`|fLsjfmT^jA~7TMZ&Pddy##;vO=I5cDlylA5cbrq>u?HCCPx~9Go zi{0@FxJ|nz-@h7-O3+NWG5S@plVo;r`Z3Ko;yETuHltU8$lR1k9)4*yU*EE(Rqc0G zmZR<8;(bn~=`%Ob*;DHhhFi({N!gE#0gBZnw-X5fpQt%EALoDIrBEGFB#ATUO77Al zh#|=!6ESbXEi`c-BbA(#o{Vcp`%qJni^s-Yy&iv=xxgogC`( zD%{eFNG@@5q8)%VbPG4jq1{i1or#NV%pNmX4EeX^UkX7O6wzhw6=&Mz%%Z(alSPC7 z=(&$d=!q9LEX6T0Tf>=8HQk7ESpV1vtYq|Uus#4WW<5bAl|^+IgkPg;dPy6d z`B^93Zgp|XD57qGvD0RuuN>1R%2A}c#UuU&^WbdnwPIs~!?@n{yt7cjtjXqZbD{7S zuKtWBy;B!zFSdMbjm#}+v$g6F(9nFNZVrKmW&jA$rfMD&X}Y~qT3ol+8w%CQ&K-J` z7Rjfc&g7Nx-AKIUIaLs?yk;zhna8}9DP)4X;c?l!<)vOK?xU?JQbm31`6$KwNMyx} zQ#1V*E#NTxf)tu+x+{7y`A5K9Qc7st!vj;CsBObunsU)OwLyup+p{R;i#Yhxxx}<4 zmte2OC+i5mjLx6yvZZPtA5yeTmkvSnUj~M0jp1-3SKDVX3g7WFQZ!Mn*lN1aYcJP1 zTwj!0WdYcI6nB|hBdv1*)0gRZ(p;|iuhh=KOp#%X(qDx`&N`bQ+zu6RsDr8D@z&OS zK#?%R(sKXn%Xoe{)os)XyiMsCHD`j8Ds^I0x2vYeC51;IDr>E``mzh%Pc~)n%NS-# zJG8G3`;feXyEJY-zH-6{E0R+V0F!$F}WNc$=? zwgu2hoiCz=X)D_ugUK31Dj11W2SFEh@jOSW0hb>YrR_yo=@DH?|=Dv=sgXn z6&XwR+E0iW#OXDoRx*VlMj4du*9@a5R(?%mo*PoPTcTU3VPl)e$kieXYwCjbT9=Y!smB6&WM=P*(jbO?)z+ZfJku5Vd~%SbBsdXqQpQBXT6zSi|C z{26TX{aW^8J7AJWBaTsi2Af&B|N0-~L!>F}>f~2pnX$J0`M^2xyn*5ad|Vi6*u0qU9dnylx}H^(nJGPip9b|kkxvP zDQI(p0*ouRs%VPj8l-7t8WtcQH#P#9H+ z+%=3ph+&?l^VP`qh06oa(4HZ3q*AdggxDZc6%*{wa&jNXbPVf>}FO7^PVJAZT#wPJJSd zH6s6;=CPzJpG++eYEl#KXH`A~fUlPPh7K+)zM_k{?=&8L+ngdo6QBNwCaINCG`n^F zBW2OOU01mSpatGZF;=lYdS3$5=%Ih$?x!>~@5hop-qD~@qkM-PL|X6+g6O9 z!%_(O6PN4T@hw)^n)~inmxk%+xuTZb0tR1Oi$=PvPdJ2Pxo9&i&ka3S!Gh7qoh$&u zC@`L)IVJa%z^U9c`{xc)&VpE}C#}`<0?O`O+*uS{hxV`5j!)Dx24p%^DFe^fW46Kh5iM>-C(c!*ASF3M5IPv$Mb9!UfkJLjyc? zCaD^8J2Gt63t2i$Y(Gw17I%1Vu9#bp7cxJ9hepjAEy;Cl4&rZjoVk$ zi|KWv6R|6iXtDN5sVB!6WQc_~(Q0-6$$U425G^TG17T~(KAl4jZOB;Ft8EUBgvIZX za&yGQpi}JquI8V=S==~&&Vs)#nJO3X_=r|xzdDvzGRphjBsjo~ z(&yStMoRl|9k#Iy!(?m~8wZL7m%=3!CT5gd-~p-w!f0)j{!BUEf;-j?V&da@P) z<|>!c2MmQe5PR=A=dkRNP=24=leOX32?<@Qhcu?KnW>-@LT8EjNGSbfw1KI!Jb;x$$UjI8IAT#g0L!(K7(uzTYxTwcRmYi9y5 z;7!fe^6wql%SQwmLrfvHaHa@<{yh9AtDyyyZTtBg9}4KJ5u}*-oqXUnxX{^qy+D`1i791`qEpDr2${_(RDPni2WcWYK(aUWCGbFm1vr;|dA*X}GY# z`pDCqY}X(-@&sE`?UtO|QXV>Q>d3A$8Zy2a`S&+z3yCDP623M@9i0Pk&@7Dyxd#yU z+>aMn?oE{S4Tkr8I`z;=8p13AZwKCBZR)k)SgNd?33qe}J@ZP&zXsY^`vXi`2V7=J zf>;O*R^1I;$=tj%D=%R}7;aZVQG8rOIE`ela|0hBjfTu}R#yZPEOJ20kAHXL&BF7z z+-Iax;9jE52iQEcxN(nQXo)&-;&V~nKhcI*D35DSiw*Fut@;bz%BW-u*O3Lhga+L4 z6P)%n=~5z8DdaE~BB@03q3?zfC2ML3!Fs;B40mUr-f-rD2X^V(Fes{D&eK(?&K4&c zVV=0{%_ke&b+{j)9u={)P^cC>n+QIxy#q(*axkrn8De$%|B0X1saU>lM%14_Pm3u2@EmaPFh`MR%`CSKvO3wOC3CX)tzdfX`89DNH z294Tpz33)=6KX6)zZm8Q!m(jChY5e(V!~UMqDLXV{9ydE;8WJ%kPNc@1VuKh2?dj{ z8*zn&Zf0=yP~yLc-SvXk1q9=2A}BQ=M_o{*kK?w zw2FYZm>yT~cW0wHp({+11kTO2Ad|t=JiOr+CDO5@a4iVZf8Ee z2bQ8GDk2=qvH1!UG~cJ6KdmcKM`D*Q$$qtj3}0G5hSlok-$_}GPfFw)oYbVp z;$GgAo73NKGF80+FFfE~sv*pkiXkt|P$6%5STMwgFr`m0SdyCSVQ;W?~ys`wr?);(Jnqr3Fg_a3l zm9K8y+IVVOj&w8Av^8#uOdbT=(eYuYli&Wn*WU148F~H}*rVR9KuaT~`IBr3ZAT*X zL%+)L5mVZhR{rAzplx!xIIDz)H2+P(LJL%26?wf0;A?K64?gKOeL!i*!0b9AW*z#q zAO~}+8r~$e;i_7v7+j;?4Z3579KC&{6s`Nbp*_>+V6{rwCToRI9>;6CFd|hz8=e)Z zrqEs8te0QLwyj$$y>li&GADPV?GF+8M4gw&U${dRrK2GbPl^t*ox1yfUsNgPihvcs zR1B8CCWF&Uv(O!@DX~Z_q`}0cBs2ws*{;U2suaOsern{fXw}EvL9%{o<{0U>j|Hha z>X!^@GdwUSw;f@sW)J1n)vDzB)foRCM`NJtn2ipJtLgw`(Z?(j7mS5>IUDL2-H4V`4nT5^CxBxZ-BUx$ zHWE>${r8r1K~8&iVG=2a^CZ^Az1i?5^!D8$A{}ov+>or@iZ7wj3D4{ZQ4nK!daU%| zQz`J(7h6-PZpBNaT~xY4!+6z18|@!JZv^5# zshxd1!deEy$_ETIo+m{oxUzb2Xz4`q&xFuGbLlbP>0FwDW;oRU$E+88G7W0~II*1u z^p!WjjpKXUjye_P^ChdE7?rDL{8@uoz4C)O63IB+=Q$|)<(vy1_r<;L;gB(G3B6pp zS7&W&JkS}UM6w)tqK#IKa{7?8i&ua}P-G;YU7v0>8Mwc%4hw(tgP^&0h|KyBuOCdk zqAC2zprJNKK;|&x4fmh%(ShlRGd*wmUAuqfYc?`9&Fqy7U49R+?s&o?82pbC+*|*3 zrh(Kp(~;n|FqAQ@BeCyajSTN|>inMs`Unp8P~xW#;;rDRZu|c*b`H_GFu~f5Z98A= zzbsuDVIstyk ze)$)bA$yuA@gu49U^%NhPCQ^i54SJV*PvQN-T)hkd6fl1OmuWO$TzHr8(z4xSkAL& zT7o-%q=MR<2szQ)wmsqS6ZqejlbElitlc+U42ylm9G}29W9T2* zdHD3~zCMK`IaDCutZ&g1hcrVhMb%<6|4kKYWnVYB9;Pq6kFA4FFBM_!Sz4JNcQHvu zOq8GcDU$fZLOXLR`2LvHAr|;Y>gKXf zCqK{CMR-o}x+sE~MKYcw`a_{fn7vq+29Kx}nY_8{9q8B)_0c@a2mZ+Y*q}$#AK-kh z@EiUgRRRM@!ZQo1)#+}2U|*f!O02@+-D*zk_&*Sv9^@66)K^Pmp~FPApSlB?hSC}4 zvMK<+r=+ZuXFL+{5p%-*N#^)Kl{*_j;K=vRhNw?20)FKRFlzhe!+MYgSlGW8f_gO$ z-8*dOz8ygdB0eera`n4!3)fQaxO^2~7Gl&@=ha0iN*WXi;@86;i87tx2t1pO?!5Pdu zSHmVTU~uA7Z`P_|Y(96U%^5!^ipXd4t*c9dt*!YIQaV1<$sid`RT_3Y!^n=deyp~# zB=(_>IWqX|Ne5To>(EV)8GQOC7=kY5&D{36G2SX4qsPLRtlhzMIL>OlgCg5W5&u!9 zU1)usm`(5H)7x_$PpE&0X0!<&cgkj^?Isw#IG=7oxBZM@YwH@%#pFO8Xkw0mq!Y%R z{ndX5I~)sFOA*VWV7MOWDQa@BSwS;xV@r%wUX7S)13-c|3wg;DQZ8M9nB#eF$E~?2 zGDT>JSJ)v$Q%BsEq#`e@kL&5W^r|uHtK^7pBvB9AoY^g(Y87b$~ z#j2sZTU5{TOc4p42|JDdbCFRd`g9ET z^~BQlsM<=%!CMSuhCZu(x=7y#R^gq6=H$_0DtbbPQ0qZ1L{bX;vy^5u+j>8wEB1%h zCubBs@Z;L~4!1-iv24S@=OCnMm+V4+0TagO^bePTP3K`BfAAsyt`}k(0ZVDd?EB1+ z{>~`PV(?AE8yz2|KzMBx-gu|Ni{VK?S=w#D0}(|>9=YyTriA*UoK@{7 zSwdx&j)$o36-oW!_)3NXWgvb))qRz$C(83I9zz$KVVh< z0Gk1(3>QII$Nf=&ojcEwgygftZC%pCF1t#MsbWWE(TYTV=bm}JseaC z3e?}q zp`IrB(30(xoj>j+E+=B$C*oI2t61ZQO)Tl#KA@ncHazbrSW{RjxscCOpWCj2Jv6xTbjUTnzJ%(H4ww0eY9@!v8k!a zVfMN}j$Z{^)y(2}T@d9p#v0j2w#~wK=U($}K_OS_dCl=hyu@(_7z05^2v^L3t2t(* zY&0K)6V83J+1pr6_f@@?zdF?(2s{VK=k*p>CtmpujiQx=qm_4c+u|H?p*D^7XKZT< zCC5$`6J~LL^~q&La}vC{ccpH5JdbFftx7UcOS(v%6rs7puA>KWM{jBrHbkyT=X0Uc zU3(CAj2(viPLX9OL3)Cpl1*dc9Tj_8?E0X|Jl4$-P7lIL6@?xuOMve!JKs9d#^GN8 z&a^tDpbs{jCccxyJhztC9?Pl#oZ!3tHKtDw`Xxu>Y#s7Y-GAQ=kWI+aWozLuM-@S* zM-Y=OTJR&#=l)SpT5dF=dcv)Hulaa)j?9`aa(UB-JaGTaK(!U?xVh|8O1Kw{iWmOn zZqN%+Op78)e&PLZcutHR1-mo^YUT;)v1K}FLI0k*)^mvtSGl0X!M=?W%t$9M%dVbn zbAq%=>Gztuzyr2HlL=E9pCUT7P&S2-AUa~+e?Fwa2F*ix4dy|+;B};#Xtb=VL6J&GIZr)8do5LkxuDKmyL=~ zs2vK6x>!8>?5ewUU@`<2v6aHLu$l=|?50A^gQ}WdrK=RRH(mPI&>9m)i!F zkJDp1qgE!vQ_7xcUkdh*kRx%x5(PoaQ|Ak~{r5J^qV3n_w}PMo5PD<2i24-q%b~<` z$AiTF!%_NT{(@#gBlHuo290N=gdxyuF;96V$loYdJ%s05y>Ya*T{N{hVDZhb<_CC# zrpSH@)UP=|x$H;ar*Cn2aO+&|X8INVE`ButCev=zNi2Myi|Rd*dvkqOwg4RT;xS*l zYn1Hckm9wZb=zi$)}EQ~*;#hF40AL&PQRKpM@F5oK^&+>VT8=N=yLd+L|vL{abmB& zN?Rt5Sg=*lSvz~}A>&KqgP0MaaIb>rBl!X=>ghn77^DIMu{8Xr@1QDF*`pig>Q8%S z-t3!9Wz}jE78W&F6aDnlam;hVT5%+IZGKzP; z3EbOeGCXFsLy;2=2f%hn<@6_UOiqTjV1h!siSk{!QCjxvJc;jSBj+CDtGA^iKmu;c zl|{-$Yb!5a7YrD5@Zao^vDm9SJ{APlRP81cSB8km+%2VwDHf3{$q06nS=?~Voz1u; zBzLf|ce3dZ{6Af)KYDt&^NTCY*=)hu)C_7k#GD%375A?)Rqw_&vK1Xyi8sF<(t&k> zBdRruT+R$)>`py!9cRU>Wnu8@Oo(vwgU2KbeH9;|8{oSVB>(z5hJ$%l2WRm`?qo$Ud}DcY=C_%Xce zmkS`qPVuJ;g&uZllqHrNOc>s>uj63&rwAODYgH!v=ub6ePiWRDmi0FScXKEY6;Bm+ z8}{wb$f2Cv^6ZJ{a${TC4wVry-RDV})RR7w+35nycCzSXvrbu2SWC`v@3F!rPS54k zGnCE+Xa{Kmk#Ah$1CjIDLnSM*auu^eb(Qw$rf2y@RW`QJH8^nJwL7mmKY2PPfWU$< z#K1qkDBF^rXxozwMv2gAS*DO9fLg@qvIvurO$ox^)#8X__Df|g`)vtyHk^MK!!I%v zWNdKB)!7KbK%JaVT=+LIcBfJ6u^b!jQY2IDeP!3V<(#L3=k6bzP)|gQ5 z1sLV@DzOzy(^5v0LY#+L!VgdTs*)XFDLabYPpnF6xMU|3tBV74J!-(1A@0#a5lZBh zuhfg_nKi&O-sTjDce%zoFYm^tGzI%x3-UX2Zz)6LaV7oVDf|Tnoj663%}_AE*EnM49QeT zNAihX#Anru^|6EAjoG$+_vj58E-%T*4t_Wg?)%zHcpCE$mYz9D0S{1tNxs4_=+4LiuzDTB5u!QU-; z)D5Ai+^l~igYiioc|;)&u?1azDV`5{vr z#emdqZ^bDdtE08X^6tOP5%ZM;28ZQKdPAOV(qm|2(P$v?-txuHT~ckv_x0C+NjCho zEW*w{l2Bd3j^U|@a6bm(1zS&ixYtx?kF*tKmpMZ8M%yU)-4c%!YxNdNpafsnsHWN7 zEZ;E(O+-F=-T;#A42-l0G5MO$gy)v=dIv@t?lVXgEcrwHjZXP{>8KlH@aE^ZVa~t) zT|0bDM!yH-o{G!?Ad%K>RR(PMWO7lYJca2@SqMo=%Lv_l2oiA{nm;Y;oiMVVJfv*B zwY>(pgNyx=I5c!6MMG1p(E&Q9RtCRt4q1 z>Sd;a$PMeA+IfH<+#}Ap5fB-%I%{Stpz_~& &rG9^lyu;sp8q&Xc%MutIkOiLcM zB=ukn+oZjv)mud zgrCl4K-DgF_plqfAlned`bA6}_32n_U2!OV_*B|SQ4)MW7gcwCAq# zvFum{;{rsq627l6+LO>^Q7x<6{oKNgrmxyjU5k$MZn1JG?l-!6k4%0)3U|Ds%A3jV zDfY|YziW}FJV1x5o9gX#6-^xe#KlKCVbIXmvLSs`;EQ)joEoSb_d6F6;#F-Cmz$@n zqWL_wXia*~HJ4f5F3zEZfqelU`tAMbhu;5Ft|Ua`xYE`6Crd}}YhIeaWa)k=9T0wS zvS$KyPJ>xm@JCCm-a7-zU7DJpIuBPvN%fsj=BMRSu6Q6PX4Krug@-qT2?qLjkQ zHL5{51G=%yc`ZW~MrwoLsTBm0WPkT%8J!TcB*=1oFT3JRzN=V~%I-GvZFuM&w+Qj;owl8h0aCq95P}(^zvlLET^$QLg1mGfe7`I>|^6{@2-L! zw8c-dN*|L#$at;ogKDKXFYFXbfyG*r<+pQyt=#E(RxXWq8PoOeXMwgJW%HxIJ`{#d z0|5$OYq(O&%06rjXuKqb*>HOQR8=c^>|h!xTCqxI-Mi zA)=it1I@FJNm}@@eUa$l0OA21nWi?y2W^K0$EG8;ef#>KuE}Ha{k}t+Ils z8S+ryk-YLw24XF-V}1jox?^(TlRC3zb}J5>p4Ul@!5bDHv9kM1F-pj}KX!+73Ty%n zjfOv(cuyA&eM$Vm@D&>XflUAK6noUK$%K6fJoTC3qm4o6(iP)Z8lZs|P2Hlz(+%KZ zJXLUTVl?Dd4c;PeHc?FK7VuE3P|@p*&Sd#=ymv3D3y)BBJ6{)Z%u4q5&{I2~_p zsMeqnaZ;Hv4Y~qLM$bAF2EgiWh?(e0Es*IjAg#-Lx0z4jn>`5Q&N9{deRyg@gec*( zGg2V~aCaetTb@NXK&==%KjE%LE1(uHf5L6){*4_ADGAI=o+tx}mbXy201m|c$Q$u_ zh0%K0sOvlkhw()l<2?C8oAuk6DvpP_M7x$Es?KQ}ULr&}^xNT+@I+o9VE+a?_C!#B z3-WML2YYTGU|aEKza#oJGB8Ze4P<)H=`o*{sV)sLv9N%p1=>4o4?}cAK@{GOFC)A! zn;)?(6MiV$?%9LxtkGCxzLr~<8nf16gPvK0X3xSx_|6O4ebp1lNC%;HKw(AYGT`X9 zxvwF(;!0cT+le`J{7S(@YT{fbaWf50k$>^B1$v8vcE;_Ynuq7%H7hMIZu>9{bhNE~ z=o5aYff&dS^pf`_FX&wpdg&H$G;cqmi(Tbgt~Rre?^x(Yrj8uLaHh193+y zkdqFq=G~g#MC&MlG2fu)#oGlM;y2Lr^l@@GPv5rKNxug9TMbP}kS5{$NuEm0GH0>O z#&B9FSH={DQ{>N`eGspB@1ES1=BO;dCEZFr&9xMIdCICtwqf{D!d+i>psXRa+#bHV zUu0AB_pSoU&BXQg?A>9UXF`)0z`PLzu0+GK#Z~C_I-gWaUf8Ja9s@k_1o`CCj$Y&G zj{e{LKg5_%14+0z0E>H?yaJ*>ady;7p@KzScbdVfMzXVLm^K#2(sJJTEuB9voeE+c zHr#jXiiQR^MP^W`Tq#E~b=F3p`=OlLtH7S%*J+ zyI+Mk`!Axh^Z$h9q?);kjKZm1U)I*QzLe|8H7|BIGRf1UaY{SFaJSQk;9@4EB=d>hWbYM zce{iQ8``lvEIc>cK221w>4W}{yXcrv*NAO_ zr9M4KMF^KWZc*)Tdz^Xsq$YYw*?nNUw=;&{{iP2)w|$38koq^egC9OcUU|WA>kve0 z`VVX`FL=lo3&fA(CXu@4Eb_A~avM|N`zM*UxjILpu~iSXwaZWi6~6U6t@(wcs|9PL z2~SwQ>$vutS0I?W)Cs{YB-ida#k8&kMwn^Q4r?aPP}pdBy`1T1aeRQ2B^0qE8q4)j z+EZpI=7a@%&|I*SF(+{Lkj4wQUgQD$`$L^|$Q!$E+11mHW!7_`fYu=ukufP_PM8~G zh0j?P5!Mm!1t~8`*@7d!)P?fjgvg`bRkALh)QiKWPp*St-%tOU~#Wi6KhZx=!RK6drGPGFMn4e_#}qEY-~An+++a#!;D5Pj7Bu zr3qGfA?{hDGD#lak6<9R{* z{;kHQ@HeKB8J?|a0>vboz*lZEMc2$TmH+mGp|=166Q^9dtvFm(@Gp?Hh^>H8nuHUx zC}byDAQ@1>RSuV)5En`^ztQ76;ZTowPsocopHd8MqN(E`IpV6LY)m;Pki-+?f^1^Z z_m?t;N-o1AWyxW7F?l79Y=&R=kXZWK5|=r{c2fntzt9O_AXbMnWx}k+K<3jMkVyUe zpVRd*kFt7QsbuC{rZ)%odY5kICERC-!lmV3X--i8zigj8@NMl6^87_RX5OhU41dt> z>~uf)5OgVe2w<*kX7?rJ1SR>UK~+-x(W*B|r*dr?TWqUz!-y~-&JS-+T9HZ}IiX(s+(&tq zojg9IbZ|d9PdIYYtTH#~ffv{teZ>;9@FNh7@cz+|ud!|k!oCNXbd;tnjIA|YcN!Eh zFU6QE(@~4bn*sbUrA;V;ht|=~S}+;k?gF({Q?}f*OL9X2!&3{*i>$rq{6rWU*(pMk zg+I^NX(sy+shqLn*~abIWtQ0K1!)RrzetnN>pB{W(mLaa%8t7ufLCw2f6Zc@*@`}Y zth8u%Voqj_`+%K`=3bQr$XlS;-z*J-y(Q+rTed34Blc&Icc>c2j{%-6p&iZ+y1~^h zAM8D>Wua*e`PIwBaNmY=hF9DAxr@*>CG4!Q3y>&bt9-0EL#v(KjJ}WH)PZ)|7$%d} zQsD6YWB(7P2z<_0Hv>RFrZ35zS_qqv>oJ-Xggfvt_4BfMFF4jZL9+l=x48BTbZ;sv zY=b^qAL6S&wj-~l!DYhsx-_M&H}MhRj-z1Ta+&l$-zJ9fi;nt+Tnyxm!y>qGlLmpD zX;UlXrv%d&2=wlEt-e$lEHFt?xI0>NFP}QJF~p=pEj;IV{(J8;)T9-#3qe2d_ITnX z=Pa_{3|3a;=of?b4u`ygMtjf_@h4D_k=B4g_OS7J6!aJH$5Yp2JdVZR#crR)$CrW4lwnR=5R3?JkR*(I zXP?#hn<>QnLQNNquexw)8IruZv}q)O*j>|3YKChOAEr@svU<*R;_h>Ulq(O*e~ zuab?L46?p$nxfazx==HoY!&6rh8aF9w9gR(>iPz|qw0`g-zcT9EJ+`h0>Qy$=b%E6 z$gtgYq840xvQI|rVIKyj6C2Ou4(I#VLwj|PHYf7>P~V#164deGb2x+7%}&t&{*_5j zlJc0#4*w?{a4|?P96p_DUmwM0pqMf5tbudIcS8o!GI2)23Z0)b8j#CfMYQnV?9vw^ zE}&=;t^er5?E<<>dl*9C>Eqm$z3VNkFmJ)Oni^^JPO5+P;XbgoH2!Q|@TPhP&FTzI@lQzf({+7I9wFXXjI zeMHxKaq_k2YjS9tduUlal8JR9!rTo-UL<=uAPy9v&qpzspw=XghLjijWNyG}ZHl%U z*sU@gZUx#RZ_-bgtsCDo;dj-Y8sagGIvQLKCh8RKTSszH^yeX?)LVW3ypX>|FRprmw6Z|kkthcwZXUN4R>(W1-P*n zW_s903Qk*JT53wcg%PmWj>%m+nI-Tbf6VIu zQoNsZL2p}J@*G?zJ>is>&F6o_)N)6Ipo|ilC7d2?tYsvmeihub`*MHlrd`X z40H3Bk-{hcoFMF0_dH0LOs~uDVv{eC(Bx{;ik?U9z-5OKDFxK5ra7www0G*KM7%*0 z#chX&oBKM!lSr)BpPfrtiD!07vKT|I%qaM_zC= zp9G%?%u&I~o@nhgh}8WdZh}`_^Un})caKo2f*G2^u9E$IG6Sn<5R)|9E~bgg3JN?LZt6mLu-Wol;M6(6oPxLLfKd_QO;ay8Fk2kJHZ5DoS9!53fIm~~W zB5u`uE5bp`%0db{m#pH7tEli)-ahFW7DI0=ttWTZVERM$bhdhE)pJt+2C+}Qkgd%~ z1J2~CHcd?-u9=S#9^ih;Nvygz^mcmsrF*bpoC1*X?Gj($j5J0V;F+KC)nOQ`;_To{ zcpvsQ#V>{JJ$sBt0P4Zb1sd8lE`$(>;m+7-fdj44zINS8QQap2&IX6QHDE;1)Q=JK*we16+ee#B+eC~m$F1$n(5ek>3F7p@atL`m4Pu_{3F_BMn_U@H`el1U z%UucxYp3)qDTnIT1<^r&8L3Lpwqo$J_=E+12%^T5S=;;XruD;fytuiMZVl?Ganvv{ z`izjR2x{`%5{>vp?^z4jA6u}+0m1g*>KhQ?H$R3FaBhE2_9wc>Y065=XJrtd2AJhhlt@KO*mDnz-S6JV96;;vJc5z}$@aZun$ zTDpK<)EhM0S3(#bzbl}Sa3)zDW7V{9Qv zUZx|++Aa?BUxv}k9{yX0`jBT;pa0W^ihn}$(_-GxQ6mGCwYlyVy-#2e&kLqu;P>W5 zo)AT~?NAbw*lZ!vrYM`12_0RVauOQ#k@)LIE9g;SAIf}>OA&W3nU;ZaFdk&HVtY7O z0g)DX+<^tUTN2auBHaSN4d^k`*P;OsVK3_tRG9R^x}t8 zWR8+SaqWg6&%^48k^4cYMSE&v!Z{4Hp8!GXA7gMruq+B<_hvqJE{P#vM6au1^7?Aq z-D+uXxo>sheS9OuPms}^})xH8@`jNLT zYtXpCsR2aKZeg$r?X_*Qv}&O#%c*O9LU8CDZn1%oVG)1+plVhcYKioZqFUQB2j{SIN9LfjwfMy>aQ zovv;ae1XE9WMg{W?b1*b&Mk*LHK?g`y^C9oGFORj)2)sZ#z**{2^{HxGF3X`&mW7U zVs&l#-hkUGf@LP9*5&MwE_a{VNj%xA&rgza0;Y|D*Cx#^yR%&4ClTl*7tftCv)%R! zKT@dW_{?sL+w9n$>YYQhQtAFm&^#yph>kH%U1hclm%Q8{r|R)`pl})P<`E|tWbu8E z?7?b3*Ly+KMuQP9P~8ZLXPyX}>Q7fvkJJo!D6V&4ujmsM#y`X{A4Js+ud9lJ&nHj-V3xc*;g2H+Z}`nw8u&W}~V5ue2vY%{Q{P%9AsedbDKEz@2T5j>F8 z&^x&7iS5niAPzfAE8=lL@^DKTsr!DMwRo5OGB7EzxW8MEuq}7{l>agxb_buJFASdq zC0>IC6K5O2&&Jyaa)m5I7pS$8LF^gvGd>pe_8{F4H26n-L75IVLbsCCDic&9sNlbVuAU_^Zc)WX4Uu6 z(b7+fFANezJQ_EqUWyGT5(5G~D6UHKeC97P7kedmhOOpM9k)l+J$Fl)Kg-wKnp|y>*+u}$SKxq6rt$Iu}H5xfq%%B1V+X2 z*4@uwI6fraXz~Yl+MG0|Qp~x|`LqQFh;Duw D&I(Gyt$QT=tx%XCi8F6m2P- zIuLCPGCVLT50S?IRD*srN}WGLX*4$oZqcUL6moZWS#x(y1HZ?FrbgIjXWpynMTM*hs+M1qadKEzBo5n%3hbi0#H=<>2-|IgcIpWBa?-+M4?p90} zXdiMNgLQfY~8X^ij(oUY|_HPYo#aSaf_f6ZfwdHGz4e?{$d zdXcS%_S~P?>W8N1r1qBmZJO3w8Z{DW;NgGlIdn2)p%o(cyZdm{W)p@=G<7Hej41JQ zx$4mfdJ0#*%kwMrIL#qvwQ=jr;VrVJlYY~IHWR;aej83}!H!2QelD<|+6H@FqVn#b z_6S2fL`uFT;9@$WNR|8r&M?3%>r@kCng1#G-M(%h+)bKPCYi$v^w|sD`M6bfYy=ZV z(@+y8sGf2pRFWt2&;kXEs$e-s@_a!P>voYCHG*~s0If_m&2-jmB?D7aAbU(N<* zFxdo;N5BDZ2h&pOwL@BjO*cM56aHj50r%^9NO480huhv5bB?h4es>VUkJK!R>qi1r zTyKR3H}JQN<$`n={(T>CUMu^tE^QMc75)4y+NO#7)3FBIyAEMvmzdnS^%}g#!Y&_; zeae=L`k?zC16R+@4v0Ze2z*1tk!3sJ^@qdUu32;wLuUvXHEuS2Kjh?nG^)B2u(?2n zyZJgvCV53tXPNkNJeV?Yd-e6v8bUbrdQO!acaKEz8{qtt7Ljb*{uF@~;i!@mJ^vBs zNxJg4>hAD@2?j1Q36wcMB5J!j+t44s_TD!E*$Cv7wEQtKSI$>~QFD}wr8>1nv-vteoc972x|S@}(3Om%H75W$)$RKk}6 zpORZKPiaL({kCR~@_uhudRuPCH+@C&@|H)`VS%!H^6>;={Zq@A(2GM5%4F#d#*wUY)3>Sr!F*TE2wNIb6lV}B@@ z>1un6u11iJG+Np;ThPGrJ`J^t2v=DJ%y4b{&h5VcF*iK*0kd@3bK(vJd%5 z)z7aNlOffHmUF8Stu*8T9apfs|KZQmf!1^IV0QI;6LW9gPm&c{%&4#_fwL>Y=H)J= zlcoB{B9V2jJh8z3>OThEO1&V!tULnVVz^N5@Gu!f-qAO3aO?Eet>Y!p8%#HXun=r^ zQ`ACu`14y+JUwHYV7Vc~iT9cn^eIT#Jps0Wg-}{#;bW|JCy(rsOgf+}Y5SiW!7w%* z{4Pyp_(J~T>j&{MIaPcb_7WA{%m<(^@t3&*OI;V(9NssgNFP(Xoa+PoR)HX-*u?1L zwB&NlmdY(nv->|-`3rX-#o6Qa$3q6B%8S$u<Mg`aAiZuYaI3AFkEW~{T_wFlFqC( zVGd>itVh)+saAve?G~h%O4Gu%_sH`KS>MuhgGCtWZ$utDO#Y%MTWOgSF09~2jEBu= zEW!Z<)7Az3z#UpOoqAhnMZS9SV(f{LFD4AB=7TkFASFJ1^Hio=$HWDKuW3AMp7ieG z3e7%(v#vn|D7URqH5;+Bh~B-P&WAWc^UV04CX6=l>=TyfRB7@D4 zsRKvOx1t@|zk01f`T?yQO29~tL7HQ2gf1M@M`EE!NMY$TMJY4v5M`hUJJ>l60)kqn zFr1@H5eA@&@%cNiA&Fx`+2O$n5e3J3UD5D^cM(0@@w-yqK~t*v{cj%6$ih>}h^n&> zkUYt5cHsDm1>%ES^U7Nvg(h& z=R^XgC`T*>-H2;2r0*4`@x|kjM&P-1#*B%&59*K|6yDq^NV|XL)y#j_x_;#EHcvoi z&w`ap2n=8Mi5b(m<+NNmH+<4O1~m{PraXiI^q*mvW-0KRGUJOdVSC~t4u?DB`%_F9 zjEf$?ee%h5Wh(ALC||%_%4Qw0*0!6{|BIA?@&71gU}j=x`v0X2OiZl*Ps+f|$jre8 z!ysd7XYOLb{I4P(AB?k$lc}LCjK^loE2xX!)g}bYnB8{40xnyt?UrQ>d#i0#L(OPw z?5N%1x*QHSg|79@PD|e};ZaT^lThv$yRDJfZsdJ*!UMn<5hO%3kFKl6*uAR#6u zq*&*`&(AW=&(ARqB_)$)acTX(IYWt+AUF8aHr1TJr9>u(%kDn>sH^Ti>M0Ek5E5LP zAXphdaMd|*HaXAFKw@5Aale$C>;I~~j5+nuUF=0%7}#D;KPIiwOHl2PDN7V$Uz!`0FG%XLE6FIxQ}A zw71V+YIDwSu4msXDS+xsvbk1#5=v7KfyilmI=p30(E3k^Zd_fCrRw06}Pl{dRtieYBA< zU-iYjz{A^C+q~55OjpYSjhdwi1myf>sVS}^VHMchJZ~%NEe)RO>gjFj%`EL5=o-|o zxB?XcM+5q}gZn)=GqA8XyE+%RGBA73CfTuPzca;XU_)taXav#X=IZ~Rm0zDGumI?} zvv>MuSsU6O8QnY(n%J1xntWx4B_`A5Mzv(-qACah2y@>^+WF1N1;l}1dAV^>xnY4U zAb~n@vKGG)3a-syzof_SKLNSH>ESi8bp3!_i212$EWi)q?2zCdHk3oNJBXL(m-c-h zR9qmifr;5U)E}U%49%hMhaW#UmLJ@{x4qqI^a9CWK0i31k3Iii-$lRtKP0%;(rx^g z{w*1DlER{5A_N4DEygq(Oy!V)dqu;ED4}95vF)p~f>vE3tW4~ep@1$S)JR>x4H?h8V`NS~P0(yIT zdU3bCpZ1Vp`-2aBWn%+s{bkt$;#N0DA9ld*XE$ICY>W}#x)!Qwfw%(q#QjOwfO6*v zhY<=;e;AC4A?G811Y>}>9{3}$1t{Jjdp=V>f;E6$7X9bF!7};Jd4sMAhk*-{KN*bt z<0*b28G+8xehS{sqx_MUK9#-%?-o>lqB(YtE`9~?9^n3+c!d3m()KNU>OP5oy8EBU z{Pepgi3v!L`O|cpgMTrYc&P(z_U;+n&3xBQdi(7EW^|X^eK7#?x+e0Y`e0@K`ZRaL zALA#xw3qw`-2KdcgYHgPe=&XH%^w&5a_f)rpYD8VedSku=pO8?U!RxX=`-F$)j$1j z)`7Q(gk^6&w$%aTzedCNdCfQZSa%znms{Lf7uqKE5P z;Cq?h6R{7uk-?c0eIElKdbW_#zTy7p!3Vkh`ODaQ#vGU2-^jnCWxvWld*6WKet_J{ z#jjh;LvH;QVX8Y{?QbRfkvEFnze^tP{099trG?48zTSC%uK9lSHvJCx_YegNs231z zF9yXDsTX+K8hrY;0L8)1+=8(mdrtOnk<5q$BE%d8jK|!Xajq^;e zF4*y1-8@VklfxJ6!F{5G4?GWq4iuao+@d?z=^n$UUjR{JmZ;TA`j797{Sz3;vm5Hz zPJ@pm8JJ9obZ)N2m;X?Ad_G!qgEV;4l)I}cnz@A0fm21k6%Ah-E-ckuv$lcH++Ncc zem!m(MmkNFBrrR#d9*26r7`66*x*0T78$%b>-X76 zbx=$3lqSbN8dqnRq$&8w)G=^TBn(FZ-GV4n)2Z5z1)Qv6vae`MZl=3M=yCmO`mSi? zWr(w8RH@VvF7Thi^PxCx1h><5p6a=|K_*jfs>rK~e-m$UU1{LE9vfJ`h|IyDEh1J+X_0Vr`)M(3bqbU~>*>Zq_s*{Rq@B1lfH&_1@MdfdO7qSCR z3>d}!8)@V;jbHP_ItpgH`A^1ScEm3+e(aWE%)k;zlVi)veO&21UZ;{-m%Lio6ZGDo zTYA~P&qF);#D^@i2JC!H4=oc1Q;TvToR_QO@sF0f0;d97@N|wFg(-^LF(6T<$70?u zN!;bm!nb~h0bziaDB&4c7I`Mh7k=b_(`JRhezRN@8UEbHp4m4b3TU40fYl>=8h_2 z9YQsF9b4zUOL4%Ls%whDZJuO9q?K8-ES@pif^fw}(16s!6@pB%exKH{!j%ZlaOpoP zZEOGeP&@?V6^xKAVWD7AEf2gL4^xh^EJN{h5OMBb)@3HYww4Jbze!41&^wotZ@X?v zy|=%T1vRuzTgG{19C){~;xAx*O~H;}64HWtEhc-8>iUsQH9fO(b7&MQJ=zbIQsGY8I8qYpy=Z)ckPGcHfj4Jo5mU5xu8PEUnwifQ}+wLzi zaW{9Oxbg1h@K@bFeil>QFO!`7VYahqx{GG)oCiYpOM!G}4le2ShBc5L?YtUTcJk#j z5qg1~L~-6zm!7~iA~wD0ZgGLQqw#t>f4!HW(N+eok))!UE+g$S{%&I_F+OGHD01@pzmSojXldNrhC~th!%NNKExO+4>vd+<0dg{do#24imm=hr-mo z2Su-qMfx0wf1Zh9DRX55bm0IDY>=lj+8wOF!63E3?gQlI0m5tSQ2R?F=t^PX-klB( zYu$4sbCYaKJm4wq7BeKp@pj<7(!;G53Zxa(sO=x3y)C_&v@kLH85|8v*$!bHtixrz zShss{s$}(51DX@AH>MG{LwLb4{{Sv((x&mj*e&og&+PV@b-Nz35C0SsTRA&^YMGY` zuMyI8D;`$5zw=Peg4O_1=bSka*^PO^+v!75ZLM*|5Y1fK;mSR|_#mid4wsF>7RYvfmNj(mEuSUPyy0*e#$l zQ|{s^VWhc~J3zS!-2*#98iEV`iB)z`5A)px9sElme&QIPX&puwQSU@AUOjdvGdclG zx^pJvB8AOm7-`)W`PR#IS_i=}f&~dR1OEd%K*YbnI6v2YpAZNK@Q_SYlRN@0?>Xop z=Anph0xQZMB>Xg`y;b+RG6))F##jzUZEXr{yEwbp>4ARrE;h=7F0PWSisc4jWTyC` zVg3iKUk%N=w1(=JQiBs_^(@UXdZ#gS3|^5ri(21WLiK@e>6p&O``n>emE`K%^lgAl zh~=ZQIPS3Z%&S{^KTu_G@a@?lNC09bBits4iD1H0n*dOyow~D!Elm>M2q;UXN?*+8`r5u^UAYi*Zf+gjudb$w+0GpOup7E)dPRYMr`~CC@O+s91H!R z98C=Ol`-R#8ei1pMPmudRZU}T9xxeH45nEM()M2^mB{gSrIn3xpSmsScL>ZjC3*AN7{l!GNXiluwmnnS2eh@)&IqP|u zMc5=7zW#kIy!rLh;j(l*m#z<-kwTKB1W99SQlG{!`421%D@D5lw7YysO{_R?;{{}J z4(g;b*19cBU53Z}S#K8reA{set`apQAH!F^02uhI1%bJNbvH|L|7~f|mPyC990Krj zl^E2slLOdp>@q9<8A^<&7-e*hn4cmoV1;UOCN#@Q3q6rY)#8V?dsvA2;!yZRFk0>f zFTKcgGqd=CBIc@)9+?bbR}5nT$~B3q(l0YCZfa7V?!Gfu+sPN6%Z-lE1?GZAhe4`5 zmF`PS%iYQglHTomnzfw`uk%cLFU~oyw$}CmDhM*FYNhG7wEJipG>!+UDTmb+wT$kW z^S@#P3qeBQxRqEP85%76SM}Nq()PkZvRgqUjxnb3bSW~wq+ZSG0+B@!l^j15su;4I zj0uYtaECY7czdD ztwfbhPM1VFeCS(hj|$j&q_tmzsRqZt645N70WW`PI=MkS2q^Y*??~GHYF`P7bhI%; zQYcsoFAYW)9<$HcEQoOfSXf&m^A*F%nwem5Vx`x1(DQ?fyH4~>YmFzb!C=l_|3-dz zAz1rDgJRL%){-@tWKp1ICz!l+Z0i)bg+8w+YWuDH{7z5O=%V>7mpSP`Oc zyzEqVb#(u_Cl^2p`ivF1TVVZeZb(mWr_-F14jv2>D#p{VQ)c?(h{B>Oy~PZc-C#EM zp5H+S^WIhLjW#wI2I&|}?k+g(OT?LZ)wU?Q@=E*E2Wk@i^MFr^KdT=dj1%hf3w~%> z`5Ia<*wj$%`M`vX?X5%j_J|yX7@S8?3su@(^^pa?sG}WAU^uu;1dG#MPJYAz7wNMJT{n{aL z0cQHm-T^+SBUBGkayzD(*BYXu?!1D?7v5bH0%7uh9?>{5 zME{`sL^l*`z#W_zzw%=7M7Qg)4s|%4V3R(PgBJL8d=Py5q>x>V6eY}dqJ89euu0|@ z=WODm^-C{_p_1=04hvyvTvjW6V))iFe-L3(qxX(5>?|=m7lKdjW&PWg0|Z{S&QUdw ziO@w}Y`xzq-^0Q2qB}HKl&*GsyS+Ei7$6>B6-MXy4BvNkz$#S2CT0@dlJYQu!-@1D z$iqQ$1O0307>gvGvWYeJ=5g569_fZK0G0q)&UG+~=sTk}KwE6&eJA!xFOsr30Si*F z#?P?RSQzDMRvoTdYKIUz)?8JVP=UN)yKhn;3+m#gy}qE8vEsmJXLa_VUffz#6#XnVz+>LONE*I};gpU0bp;1{ zwyVp}<*0THkRQ6QO&?i#ICn(%$vRSIkNrwBL@KWdA)nNwP z*Gz;wP9j$dhY86rb2cLms?m8??PI3(k}lCREbS`D8MRltQe}ZSnNkM{^mTYA zeBWkl8ItaP!Rth&Tq2@>MA4J?R(d1gky?G@6M5K^!bwjjtE0LK%eU7eVT2{oT#Tf1 zU9e^91UcT)P{}Q~3xI5(1k=m02bA0iz*oepun!Im*u+rUIw0Uad=M$TwY2zVz;CTU zbv4GN7#nGw6&J?nHW^%n5xCUoh2M4{b@)R{RXKpTjQ!JQWLBcB2xq6u_spzm3=uZ`o5p&)$8Wmt{@suyZJA*UEJET`xrh zRp$cz21o5f`SnjbmgS_D?$`8b`rZ!v@xt;#vdmIijjNY?d?LiZ6s>3O5{ZsBEr?gM zujBZYavnV;;VIs(#kC-CpwPXj6K0%M_=LGBd`FYcwF}Z;3eFPSF5=3!)(*v{hERIq zAwinblt~UGWNtUzB0$pEF_`IO@I0%Vx`?xR^jJR)LV`iYI(|T#V7K^=ZEOkL!sTJuG#~DQEza@FPP@qWYZ6HJK_}(9lX|D%%n<4GZv-?YZ%HoMLRv`qM!{1%Y)Z+0fm7b)5bL?+TxIbwf3VLCMy5 zEu^M2!GQRp68k- z!#Nb@ zmx%VScBb6*Z%U-NWHQZeQTZA|1qrYQ58KT}QB<%3E+3`x;qE#BxD~M(u=ygaJ9w6A z_95I*%&+${-*rD}D~G0fe@=0(!h7OVaDy}72%5?&*i7*0flu+IsWy~Gh6uc_SB5~z zK6CdTMnM6~c*Bu?{1nVKS6CrN^`(0>TQIU_J-q9Prx}KlY|KxYt&H8;Y>U|>HxiE(|L9MxC6Ip zs|!f^5W`HuT`mD7!B;=Z4C4=6tFHY@?dg)3!sM&;nhB0lj?-^u#W{eM6W zek-{5k#3>oqpx43ncrSk(i1`e@n^FGDyJ1-eB(AKgtxVItZiDGsdiLWlhX^vow;D9 zm2)L=jdR^c`4xSy-i)17K5D`)C5EnhMqfwhw_tPaUZfUqF*a((IRvHFPIU>9ELGRu z^}L`A;j&-iU>BlX-f8O3YQKDRDIHJ7siqO$-<}!^*fuFGXplDIjSLF`lY&nF!2iTF zuXUy*%gLUbkMY?A;;?8PMul&UVrNd#fOPt4*(S2dH|2mgob|(Y|ByFD3anflTv^GG zx(mxV9nt8fr$uTpIS`wK4r@)atWylWc_SWw=%yzNmtN+^hS=10TKSN)|8f_UMlpw+ zw~%t;5q75dWSEg9)U^HJywy{Jmc^+@PeDHaZo!{I?^j8(g2GVaA^9`(9dkSjR$`sb zw}7=ke{`AkDw|L|7#1-~J-%^8QJLZo8-2d7^J6C4(MPu3#>?wq*5I!ooh*Y4NJixa zEwQIk{l}=9(r|9gcCht=-HjxD{GYKyzq1|^svU2@O~gEkd~6()XgO!Sr+$)9?jZ?@ zdYy1fUkW*k2Nh4UHEY>>Q#CZr(#EnR`?;Pg+PBKt(u*uta7aQt91cS$%vlT)fdUdl zN&yCqu8*~yF5?>iGCV}2E1mqvhudp}O8LkcvOs^%sLkd|e$vWp3tuVE-cE^23*pRy zm*p^Oz4r!B1zOn**!-zasOxJcE+&kLlbS+*&i{d({!gk6b^1d)_G=xg~M`FwC% z%Ntvf>LZDBpG}f*Vd}C;@H)(^o8QAx&VfGKPfzRYcnV&Iq}*!!l6+|02TxPy2w|35 zqL1>9#GfyNcRO3cXhFsDM9yH8Bq!BI6URzF$$k)k__8%^AM~)bO*mq6+Kh2hK$IPz z{vtZlM{|Ekkpn@Zqk*_t<7xI4pja{}0KxLcgCb{gG%jSV&t2rXkf=zZLNPputK+A1 zVkwExKp~;W4gERKgND-wyuE$iz$xR*REM=kp+?5{vwU9D41$6ay@T?8Rbsb|HaQoeHg zW%8!`D_;jy^yb3vOM8BRkf{Ud019V=%@j1)ot#&ygsEI;-?x^t@c;=*2FVzB8tTTk(fUPJf%^z8jruRYW25((~WQY8&eF z+}r&H1Q=tQWQJf?n4Wa1S)v9<3UWhG`ukiUg_jd9-qwGqB8A-74AVXpq}72ZB;BGx zSMr|5ory6wnF{!t>CFO=R6b@YW6dTp1-?ULSE%`p!oMtx#NrfhsfX zhOu=`w*m(d#ZYxV=(ouFv7@_>=4n-uQx`Lp(NVzb2Jkfw365v0d`bEGbpjWIvX#W1F;nAR0tbc(ndPpJH zZGvkQUsWB#O4&b-t$>6WGBMh`fMf< zF_&5Vu_@`yF@mJxywW#NW}IjkdaEz%fiZVz*9kpW5jCqRSEr18_Xu#Qt-wmneuyuV zG%`_sGs8TFWA5#=d$xKB-*E4vT|pgGIPF^Ff#NDML^j0I?fQgaO9#qHhg4ISzSh?m zZrps4tLL-T{W;;s=P9kSvQ-1eRZ%_4&@xG_0XL>n%JZiUpMS^b%cKv3uTjmc1B+CVk&t*AgIwksRHRg>Zbx}k^t8`NSAiss zP_){ja?2n^W(xbo!hfAo%G!f*4TF4iT{P~{?lV11PlDA1J(iAg5-7e>Y3N;&JEQ?VBk?K?~h@8cl;c%gI)?cu1s`c zD+E3|!jYZu^BoEm`%{`#jneLZ3z(%M<(jD_{3?|&jgi0*X(v>|pu?H~2?>pc5(xXE zugx4R2&R70vDMN>^{hk-PO1Ad3v_i7Vy_bYgsv_wM%3fKxMk?yHsXR((W*UT^A|tH zfKxL(3@D7ruuKFk)sFM<|Inm5u=>fY5fNEwNv^b#kO|A&S3kP(Gp^X;hr;Z=_=t5# z7{eFU`X}M|a7wtcdPl>h+dg9T+K7Y#5^n>H$XsfNM$68CwFe!4%FtlW4QeAzPuGtl4kE!-Xs#IoJ&1ocIE}pRCqPL64R^ z%?-tew~&SUf!}k|$7`PVlEUaZh@kzdLDc-0+}Cf_p${5}Xk+3VI*xE;7@BQf1|Z(Z zH!P82C#50=W;S~@6Gd%)${*aKGswO_><%WZ5MYd|a<7%M7SN0I3n%5GK|JPGf8yps zUNo};W%Qdg&1a=t$Tbn_f<5p7Z^#;hnV+c1mlmhtO>>jPITn7it20%&-d6X0M zlN20U^A+jXgxu76P%#X04cLF)o(0XYw1>NvOUvobVZ?t4^1(Mt{N9iPshc31OPWjN z)Pq)u^JO<-8wmkVMz3lqwGBz>Qyx8t)P?0GErqjD&qwxz_NBv0)UQ!^vv*nB4irO< zRe?rT9jS&9DndQ%)FuAUus@BrSBr1;kkN#Iq^6sJZXJeX+ar7n)3x@>S3gOf2ExE9 zzuNbrsZa8@h%!z|et3crw}e#1xtP(%z7IdMagz#ZAV7>;1`x@>R*rV|I^Bvg3`0&;(jG5Xpr8)LK%_B zLmtXr*&T3kH_~={F3yuxvKaS?qaMc_Q9J8#-@L8 z&7DYdcIPsOFHM73M|}_A7^Cj7eSwarEdBXKbEjcs^q>RY#zrs9qkMSC3G7o#W1;=! z?8i3bm9OBG{-~M?i?=2(9|zeJJtm%b5%PNG-O5ku66g9MkAgQ+opbIJn5Ec(?A=3L zjEx!3uj_#52nq{tZvr8-yssxDYIof6rFBz$wlCLZJ)!M4EBuDx2ieM!E$p3 z=`!f^BA83zl4wggXB(eRe%#B;YF-8is|*Asxg#gYOJ5|H#zEwWauZ6x^GU~Pr;%Aj zW*@MWM-$y_x1gematNmHoa%-IHji*aqC0eW+Anq0mi(y}xVvnQk@r0?<=SaL# z@9?~7ZEp-_LX%BcyJcdu3ZKR1LT^4kNxP$Qo{xsb;g0QpGUtrBhhq}qAbiPkpUD;k zouxtW6P7A9FaaZ+YF2$a6we=JTd_8pS#ee5yYj=fKdD>XGp*--xk(fu23W{1fvU;r zQtOaAh?Wuvm2P&)_*^SmsrxvZh4tD1G`D4E5H|tuN_;Ka^N+mM579jQCm+|SvNw(7 zTb8vKa-25|Xa+bbgQdJlE~}61MVLPerRX=tOznXjHns|p%e&cbpkTQ)O)kdhj&Y|C zFZ8|SV=*q1`CPXL8hs^oQ9sc&$_RnXY|)`n_ymH6bQQZSU2AI6<`1yl;iE{cP-fsP86U|(g|t@d zJBoEOR}{9gvjNBa)G3hqRq*A!Xx@%iZt!Mhu||`|CK$ab-J<$vXQU65~YjAuDR$jR-MX3{^3|3N73vDSB13)XO2N z_G+qM$KEzMgme`K>5EJ}n+`uz(2FA5BdZ?`YMxTK_v!dk>@hJeG)^fZ@j*}Ip zNS85|`*8DDFJ>}`L#@&fB~3sL5PH^O3+-&5g20g433V&49gEK&d3Qsw$SRAgf4hi_ zo`ZBQmp-#0L}4Hngq+ATpLS`;Jz8n@`;{-`@L^wgvY)}Fm?|sy`(dED6s!-;a#h1& zo0I$si(#-^slRaIXlD4n8E#zX6tg?QX0uYZV{Fh9LtpW?rnFILWDz|f=P|G`I_oG^ zR^K)YGD3hDXNQ*Idt;nJ!gcW}&olVs+SRl>q8`^4^fHrw zb%XdGr&Uc4o^l2L~#dyU*Y=@m~>7I1a%L{N3Q^kJ@mHTi$;YtoX zZsbh~RNH1xyD%eNtJwjmJC7GxG&M;I&vh{fJEm6}O9M<~LFKcnM2$4Myvy6mD%T*?m?uXAOPY011>ig zjk$QC>2c2;#7PJ081l;wj6w&--p8s7%4CL>^w}ex{q$z~yxX*jlS)Q+k#0XDUWvI* zg!w6$Tx6jKp|bP)pTwg*svy)O{vECWzn*dky*MbgPv1#SG$YZL_nF^6ofi>mP&u{} zP_R!6rtS}a2|XnodW1Lj8HxC;C>59GFDT%D5m~PBD2j4?$@1>OwGJUYV%hdR;x}`G zgO&zKT0K{%n-MR*UbgEvNwW$rBcT{YCDLA_5-w?ncVAUAGWE-9iU!=agDj})Yq@{9ph}Ovkc>clFR1mSq?y+X2z0XsXeNhZ z#Q-*np)a3d#*_xO$l)UE4fnI(7C&6#?q?FAR6B`nItrWs68hfg^OWuHGXniz)Wyz5 z+9AHn2s<{3BE-&b7MH+~K)@Q|M~X-*5NHHlfTk>f{?egMIROhA>x60O9uQH*>3<6y zqTN{2&y#YG4ka;ZaR?(Xb&*jxYlhL|Z=*b^ibHo{_He!b$y61fuYr%kC4>Tz`f16- zmjVBx=7#cn+@dXDpGeM;gm|Y;ed*;6{0v@PCqjG#zOuIRqq){|kqN)#3{xlhxQ_Z0 zp>fw(f0PMSF|>Bw9=rcwyUNPOi&jYz(H_f7JxK4_z}6~2rpm-DTdlly=ArkeO5nvY z2kEd;r}Rh85p)H1Zy=6eOiNE)N$$YU`iZf0#KPh(CNoTjnHsoiB}Hc{KaOcGL`&f! zDK9n6NapI(Ez5B~Oed=@eH18r!)Awu^MsiP&X@@9=6DqLN+n0z(G{mf zhb@6=zsaIpn?h$Opoy>ur8edTIOV0&VE;%hde||Y+dGy>W$w&yztPY!{3N5%9OEjy z44O1#=x(I2545sB)>`p4t**Y zH0sW)OU!O2>H3v4axz9W1G53_RQ>rmC8w|O56vVGFp;>4iz z@HO0)l^=pSl@8YhFzs8Htk#=s9CzOC58mg5c} zmwwK-MMRnV5e-ZY7MRA&)CtRxHr*T#^BWW51teYE8K;sP;R;Xyia3XGJfk7{T>HDa zS-lRyDX=%d5S1aU-7H%LL}QF)+=Qem>^K@fw-S69kV0aC9APLv8>>`>mnkV>G`zj* z@6`T5L%T&~GS~@fOu;w?wv#UHDkHZT$yYKKB)5Nu^Ex%EkoS?S%Aq)yGb3)G$*zi= z`$*wihfLHU7gE+eL~Y+t=EiC$*XuaVoOC(GOI9}`)EMm8Q=-o3f@?5^%aBNJWuW!a zI!nW|$up$9+o(4=`DSWoibEsj$imSW`C<8NUa}u~*%V-6$$!8eZxITLSHYsCqky5g zGgL6L)6|=4Xnb_;gFZi;CjT3NdeD!9Z_+SGZuG4zPJVmN&-1<}YkgH53)2K9Q=Z&1 zkk5MeSrU-{fV5TCZk0Mk*Gm00r-i(;obkHkXRC3J#QfWV4Sa3SV1(joTp1)|N_yzt z@*B{X8ZHQofQKp0Dy$K)xw=R*-=^ohH_{~#j_rA-NdRH(pa?c;@mt; zH#~EKY4cT*R@u?f3^PBpk)~l5LamvYQdrGvBC_rJ<@I{V2qLJbQ8UC81jCfRhzfNc z?dN3jnOC=MIJ&CktSTw*5C_fq4Fy-D^QA4>&nAivLKWEjr+xWc9z8OtbeGJ-@aVc< z6kzA@lOxm3GszLC8CsI|sr`gyGf`8Q2-~EdD)ArEv!-?qhi1j5$budE&OkUvWPVM{ zt2HitB@o3^)CBTxG!iPz8T|C7(iiU-dMLXacH`%RwZ@G&^S}v&nV!1X=b`dnOE%r( zguvs25iRRMS}^!b!UKXTEgCA8r$$#FK-z+sg7&7Y3NMuDbP<|^c1(cqc zh^vk9YFV+ij)9OcZ5>lcYD#+8Jl@EOP|XNp>YBRQoyPa{#vw^6zt7dQF^TR6onR|; z9Dddmfu*t4vm{@v>m8`ko;=v~k;wrhYhwUW7`arsw@irAi>Q4Lb|@P87&{Mg}I?_Vg+U%C`aGh07bjpi^IEC(*U#Z7Y=7f1?1ciOeD}?BDr zit%ZN&D4h62tybCmna_ z(;j$f*TakB%B8ut_P+EEwkLZ&;x4*K$S7Yr+dL`}wQIi_=z{dprCKKdDBHab|Q2iOLv?y|p z=+(z>M{cc(aqw0h)gwU7s1pa&-?%-wo)OikluPb!?fPz7!)EKhU5@12STcL@p*5oM z$#9~$C_cAi++NY=9z?q{T<+a9Gl0d4^z(iu&|)z$DhQXbKh4l;6>8beu~1lOlkHAP zu1j&a=j4FN2jx7|g_A=Q|5>$&E_X%PRW^Eje$h*G`^DOiK{uC)#=H*R14VD+AEx4frp<`8GlS+Pw`Az8k3>(VL|7Z)=g*6osc zls^$IX&iUNlOWu9K3;{b0vFz|aoIUAdADQ!YG*MA`t#dmCHvN@OMF}m`pymYgr~v> z_X30iq;#TL*$yi1nDbX*v(LopPfJEHv3IYOi~vS{Y-`ONE|ko$H8OYl)M7JVin~~) z8W1uR{^#)=ob)DRG341wl*sDpWhm;Bp zv&}&bHgd*3WjuW*VS7V5z!(t=j|qsQQAfHYK;WAlcfqiB3)Q4Q?UsJRJwSY62_o;7 zZ&jsQekfEYP!i^7muzjxwc1vo$;VlgzZNLVsSBER32MXUo`QWQ?!;llervJEa<%fK zroq@+8^=i`y2VhD?~`^+PBHdm=Q&2UDhJorx}Ifwz6Y>QZnmGCANt*HMZSz#Zoal( zqk0WW`tn>iJcm@mXW{2GHX|xJ@xaW<8-{mGtKD6#7+}z3j3V-NmUZOH8tb(wUUhF9k?lw95>GJRK=ZMhICR7(9M3q8&e3t zN)R>C);b6oFRMbFqzsEX3BsW*_5@0lSXi>cRF=t_IOeL5wSp?SIgu#;Kn9_l`SF1$ zJ)iDc3ej^n<+*X5ox@3sOwJF`8`EmgHs2hH-P2d|!4hUm{$nC}5^nViKqypWKq6UL zd4MA@bCi`cXOP!E=#dxFz(LR-re)P{DPwPlc1ZYaC+WN0k~c|qh%e6uS3Fo|=MJ@C+ z%za7jjL*mknCAUReg01#m_1tFmb=C{V0x0I50fPDU|rXa+D+h|=nL9}DQCQ@8a#XV z-LPK9O>rPT-m<58?pWZJD&P80M}yqe_Pe*^Z;$&;+{dCT zBwmJ{$8A_bndlxFdR}b{;;5g?g9gHwMCCt#TZ2(C?106_7Ny~`EETiuK?nBxerFl1 zfHnzwF|8FL;9DwrHA{~~P7c`$dqxkOGoS0w#wXtlvS9N4+7f&3dipCk7vv*MH;`2! z$c{<3wnN%Bj;;dNm8BorHDx4M_JB?x?($~%(lg>I90WymAe-*i3Urwz0q86>Yv(Sm z`3xFnBQIMDOKY7k^{^E_0G0boPA4W;c_A^Y7i>U^0pW+G{PD+6MDFHxS8m%4y~c&2 zlA#P&%xgp*G>3Os%6G}%h%mY-P{MKUvrhKlMa+5M&_^uKPTe*OiyY1j<%)tC| z%4HmjE7J~zgi=lfNVCj9w(|RZ5@s9HfD#c~xf>>sFslllS)r9i>wyhfB2iL6e@P7F zW78qWY=+w0xiJ0xRbP#WnLx0&q7{r|A$y4Kj}^u^6Hpdf{dlrwPlJ)&iSUBEAc1W$V{ewz*z`TGNZQTpHbfB$v;b{O z5hkZJzJ_)CX#ei`l_1(gLa1W~LZ%#1Q~bvk3&qh4Rg|y)bR1&b6#4XA1?TOmGu3{rgY;!-mSd!kME=@Bhz zn@Q$yPaXO%6|M6IwtSdRCk?S6a-`KXNGY?j=dkY-R5hmvNq2;&g`C~7XK8ak zor1A3MbuU@^MjJ!nh3Hut?>2E$hHsmEKDqK%@ttai55e{ecbR()?X?$TqhG-prOvt z%G)=OV1orVBE=EAC6jBEoHhzAL7x*^Pm=&|d%0DI-B+*QYGVl%d1*aOn>FrX__Bp9 zG~n#0Ro09q7Ldz}#%y(oqH7gP@}2@Viw}5OF0`~|0~W30C%*f^z9qDd`#Za|Uqatrf*A(*k%(ueCF!=biM8o$B*62p1bWU@T zjx1x1VN1%QFqfLIjqsjLp zXkFX;LXeLbq(hV%(0S%Qva|Ed3jelE>~v?6Y;<(~dCiC9i=xvL8328w*~$2^Ey3Ex zCr2C!(QtoX;z#(6{sgWcw;+6)C9lnh=8pu#U$$_W@}gbYsmtBzCuKC%dgY*>B2rQn zEhUe$C@7_JS-Z=r*;nXooQF!!O*I6DPDb>dFTvU&=eXs+(M@M1$U)c<*}RsB>7l#G z*Hf!@rg6KJ1Eh8Q(`BBJx2PMKFzw## zs~hD`ABh6_ZvL1Jn!X~-sn!7R_E$fI{nI^Bbv;AwUrBI7r7n+dg-%26{hnVQSkP&8 z0}Ve>8pBt!x;vR}bSURY_v(LajlsugiHBjGI&eOYxHr7MT;9Ito#QPCh9Bvqtll&Q zkgNH`T`||lT^^SzC8~h_~ zRtb3Hcy;?PNoijrQ!9o5TxSPkgdW-P(slKCV^%4JIqC6`j9&yU)m-U>JhXIz+P}yx9eCyJNv!E7`=vtC$XeR6sv(R~Q=TsYP9O{($<1N{E^PO8VaE0xl z$_n`64YQ<#$pk6pSISy1yL!apq&4eB6(~wu`a&gnP+RB0KHAaeKAde_+F(a?JiFKh zg3$(hE#!<1VC`^F7-}D!u#Pt3%B#pibOtiWKKMvAlNW4C#QM*whs<`kC3X$_plPK= z6pYK=vN;YAm?#U4ZT~+3JU+w0^;l)}3(@swxCXrrx0%1{I0}gQ>k%iTo5QM#J}_9( z)3CTju}Il86<=sG>A1nV5uVc9A@R~j_1Ca7nq(JQHVR5G;ya6w;udvtYmuKDhMry4 znE{5vm(y2ZM8jvjVVd9?_v4biYYfA*tK@bzRW()l1HqmMy=Tw5N@#`M9FHNPxoT#o zAOM~`iTn_JN^RKrJ^*O3sB;vxlMZ9 zm#nm;X0sXDCF|EH(97^IEw(;~w^+JH!KI%3y_KEYBoJefB+x^MqiDZl(C;{MCsNsn zL1F=pT0SsC5oy@u6;XII879rO&YCb)~6t=@m295Zb`L;(~xZEq?6d{4zt0wJseuwYFA z&$U|q@S&!y`cKyeSK*PZEZ3GByB z7?J1;W)o6`xvBp0-br*z-Ip*<68u*RmyQ73YU^t^6}a|{Jf)5=+g|PAQwo6g_axJ*R;~Pu&=1&64hWIVhs1pTRVX-c#PD z>8ti4D^(XpcDyy39;WY=->m}}iM+mZM-OC`apJQGbj5_gHsqQ@M2_Ub9umMV6d8F$ z2BWqljt9acaddk0NkW{LUFl8y-~h3`@t75gOSMsjZIZ!4!R38!Qp5XLD1iZc7H{#E zG<(lk+R6oUhrbwT_(T5I1Vl}|0~C$B%E)p3)Ypu7!gmr)=0y!+-NK{35sG-IMRXz{ z^T{|XbxvxBq1XitL5pi8r76AUha71xlu}A{$CJM}VdaCzpu8W~u>dNX9!I_W)?gTuJAdy`8?Dj z$_N(XzIW<7%U?c=Q+9X(;|YgYo)+1gbu*UeyiN<~kQd0nebQPh5~Hh0(i8Flh+U{q z_3s+@s4p7ePLyHTK>DkX-`+vmZ`yrPa+o*V|8!tnrhPSewV5*BUMIf|?EOsVQ??v4e>=R-+|V7B9+FCfW{WH|4Wa*UWid1HXY zpr2S~2?TY7V~W!X%DZ4-CWPF_+XaMW`+$wY1D1EdJN+{lbI>p6Kx_DJAAU*wK0NDU zKhN^d`x>aE!0k{|;t3Ck=_BddQtp2xfmG~$yE<5e%Yh&5_WnbP%vYimip6uv*RHEH zgJz$R1i~UnDK>tFL`huRyRgj=7^HKR%Vt?(10Fag7}wTDTvi@x3ZmA4{$%mkmxABe z(iki#w~SJnzHunFe>MAVpd-`NyiTRXoj9u2W*(@8 zo%vjhj%%qSvOkdu=2hspO234=V4c`dFjVzI71oY7NUnCQLv-xeX)Le0HVW~D`kA_8 zj~@DHf?MF1`PaC3o|dw9V#z?_#`Xpmg}{W2M&@-v5M;`ycdQDlTUYa}>ygxoYs(VO z`azeS-vQ$2298FVm{N<5?CG3!% zyNRim4*RQbk$KklhZ~#>nZGC*c!?gKw<)_)OrIjc3DW5VG3-d~TEJ()jW5)m| zY88B(g@V&xuS1m{_gimagZhgscLZ??6dfoXYf!n3>&kgP;G`f<<6*4c?bq$fry*>8 zN#}^`gBL`z%pGblb5))4MsJ?ddm zH{HL6CGIQS<9|nk{Cehn2fx&0E4jwI&4p*M@#uSF=OJ%15sX%D<2=(?OSkV-I}Wzc z0gkK51#jQQND`FSq^pz6fLl~w3G+#;5z@hD!iO}-*QQIFy_eLxJ@Vg1p#c@U= z=UG+%>o<27wG@7~lB&%Zx?qbHxDG!{m9PLHZNaa>HB{gz z3FnYg7T$T30CU@C%E!-j$l3~uSo%^`cM%2>tsD>)*i9<8OvOane`1k-gvVWNB~?N{ zW?px$$7pVHIj--mBEKM^KRYo!S_~2NZ}>s%;1eDXkelVdv?d zxnJZ3wRZ{k)L-_a4_i@Q9YcbIv~nw{c9kL^?~ifqOxMxwYf zGpVrxAoCSkM|#C9-|;+-w#{CVg+`D#FYqrppUDLCnnCkK7Axh??l6sT`rLy^RvPaS zk^bzK_@hAVdZ8H{lVI3Vi+rBh{7#&msO`@<=oZ(!{)_A*kyWWy6py2l$uuv{s;!iu zIz;{CQLG}|qLQogz<;=Z)t?^pePtQyCzWui8S@ax1(ao1lZ)S1#iRgqK#RXh<*N`8 zg8p!5z2*NJXB@d)&(p+YsuZJ>_Ot$rNXlSGO93Es04{E?O6qK@oDMBWLWr`C5Ormb z(74K<|7Gt043z7nBe=ajcQMMaISQ?GLa;Jx=#h$ECIFb7+f`!{r`s_)g@GSJmfUH^ z`xx-av%FOt6qc$$=0|p~sR#p)gkp}}B9x~&sMChH0{RJ@A*>@exsy~$wWE6p=tg$x zA@Mm{hL8AiZlol`mkbf!xYKak+KkQANx`4~`R7))rJ`K-7Il49e!4BVEHTAb{x~+C zxpiAmnEMMBidb0TW@XzT=(A(3Iy{Ec#Y}Ik(_-h0ZyJs!V9_O4x}B7n4vqbiKi3|s z?RJsrj47CF6wm@y&6iGo!(j#4;@_un0Z-Ol1sZN7;USgFXQ>mU7^+N<`dCluEcPfq zI9(z{Eat)@CYheMO!IQv5v*#acK)Uo)AW(bW=Xnz!MHvUViRcRi)O5vOsxy{gZhK4UDm2)=OuV~9>{w(EDLHp z`HG{8!}93X3=ZFZ8j=HaG{59=+Xl*joKSd@D@Dfe%mh@}=6b+IRCQ@3g^C@U$ zQ!WJ|YOvU2iJp4^z;sUhHg0$ulnPQ|?YA|uX(Ev26(rNi6(_>tO-}u5r~xqV5`(*1 zV*o2_AqpXPsGLErP?%8gNR{XWI?tkIiL$C}gsKwEZ86t(R%>= z#DTl;z4baO|K$&R-#5hf5|^aH^L0#B;COb~(|Z}F6SlFK?W$n0%6ymW%WKbUFassd z0dfcp5ze0p)F`TXf)l$lM*yT*L4HH)55uR z=HZ%0Agq^~;cVATZ9vfnyJ5Mk=3yNMSBOA!z z#Eh@f!q`MZkUlxX_wj%fRWkLPdQ`~}IpTBvwU_1!MXHi{@I7h3;4+lZ)rXA}-TkZeLYbH2L2<$|!&`sB}ArDvAU`}^eofi7SfL7G$RwNFNA zq*Ss*j%<5w$`qDnYt)sI4vIeewA&T@w!nB|%O*Cl!6@>I=1nTHe(h>$enk`KYT`Cw zktpMCu*O(+_DZ3=G)VO7?32?<{RMyuoK(wJY^` zeklBbdrR5=nUdF>UkSL5jM#YuP!rb^V|8~Lyn4P+b;Cq2-AC?AyrxbQR0Gz?dixsT zq!0iIqS-+5MUa55Jksjfg-%j?%7}##;o50Fcwj9+$flKu^|ROg0cWQpnC?)dz(*QX z?P)fPSObFlo@5!Jt6oh2XFD2nvX@VtJ$e&1DagC?6}t{vdN<`({3K$u?;0y_L>jd8 z-r8Yv%zzA=xy~F({!D+L3)tNAk;E+q*DUY*wDHPe&ZDy(D|{@p_@US^+QszTLKib4 zFd^-a1MJH_)HOS))T@!?-PwG}H_mQ4+LDP^lVYLVXKVk8(Q@L;!wDy4_Jk+2nEpRl ziP196^6FciqTA`eh;my{P%K8No*|zLn})_0nrP9B-P+Nf>^YUIO}yKpx)}Po|KN z(*ZBytO6msf|Gw&D6)Osmc*rM&T++-R5!nDq@&-g`;YXZ>Icj9*q77*=+&w#x2jeCif7xfg1Z$nuGlVth2T#I- zqsrA|H2tm4C}?p?^0a*i_#XVAXwAFyu!^jDWrD)jga0K! zJ_q7LVB?i&P-s+b(H~YqJ+osN|5S;yQAKTlV)8CakO#Q+cu<@G0ZT%0daxxdJo@BP zS%(YOzpp7z(=&FRg}!I6(;0fB!)Z@8Ctl6EHqo}%VQ8u-zAx@}FDuY4v(UA# zKsTLGd28nkCp163G~lC)v@wM^PkFMxFm3+ClE$Z&Tr8Q~lOIgG>ImpVkND~%RMmCJ z)CclEkXQSZjLE{-zppH^$N1UGEY-7+9wS5YlM#NNi4*~gf}m%h={g42o_wf2?M5<0 zQNVHT;QMy?^rqq8k*@G%ox{-*T6b84gv#jZPQ~>@$dUG3DYE}}+au{2_y5u_W!HsQ zs8-@N9X&89fbG;~Rv)f?18nK*mk%(tuZ!;-m9l+EfaY?=eRT2YqiNc!Goy_fjD42n zyGno)M+S9V*Avz;5D0FN)eN{BxYghoC9h?-J{xoXovR1i1&)yRz8U!MH7mj{ro+NT zXagMdBhZs>%vCHeTh(ean`FM!Rd(|41U(rJ(+o!fyD(8t`q<{=MlrK#$WbK}o-Waz zEWtBz9Si(l$M9WJApU}W1qc}uOn#Q8L~GGN2ngf+XZAqaQI?ti zB9Mvtx0$o!{2xbQv)$ptIKbd7i9Y=qw^adpRxDoO zMXTV=v<3SNFFFB%d!TYp5B0Ul7RW`hhhw+Fx+(UzPMOh>S04~QhMc$^$I0?gY0lf7 zeMK$W>*E9lS1S-bnukd>yU}@=@C{Y%e=rM02p#H?yes&knmvdrGVX^ww^(NZWk-qj zMX*W$=FMo(sMk9X8PE-nF_x->2Hp1`*+d5}?PG1T!`}kaC00i7=M1LX%J{a5B%*3# z`Ca^1JiNXvR}6pziN9$_q%@q`aUrz=wyBOv*LweRMY#M@?vsaSE}-hV_u=KFOJ!!)rQmZWxn{U@z%r_ZQt1f}O^?fbhS4yxVlDKZmw{pDlE=H#d8->HOD@&xf!aaN&uwhmEd_U* z>82LH#S>^oi54#LUUQb_e;G+Z1TJfvU(wvcWc+lWVhgum%>4P2YVCK|Y&=RDTA=x$ z$e2wa3N$G(mm{`l70b2#E%|#raE+Xr^yZP{a6-p7tTTZ-gcMiOVF?DyYmdJ)?J$kw z;kqmm7&Q+kE4^k4qsICr%*o+eW&}RsO#-lVOtPVM$=&B;#xl) z{iBNRwV{EiYvr7kL5Kiip{r51#ScL<5_1pklEVd2T^FHzfe=onww}z*E%P3o2-m6> zjP_6D^T>LV&KgyPIz_+zL<85oSD?<9kOuqimgrli&oC3nl*q!(y*as;2tLTAK*?;n z?jjPa=a46>NcQBfYfgClS57d`fb7=$?aV`oGLgM^nb=V#^Vw!bF?(fRHUc1}w8PbR zPJcBoK0?lBMPQ<=E97u~)fnM(J6O?r3JYzT|FypHVh zLo`Z{n77@~HB>l?{nX^YP{y{iB|0PjdF94)52G(mCJtn7zsy5<+sCAR%G2E(mG>oLl3h zaT1*+k&_rxxe?0O$ktO2PDIbSqwYMKIJGRvqi1Ry1Y^-)YoO%mkn&}K>3ARI>rRcp z`(krdH1|KAT~AHrs`yDlE@DGpqvAm1!3FH}_x%&g;B!V>1ZkX#9?=$v z`T0`JgvDR1J%g=vT|rS@z8v(pMBdouNrl74`D-CR!I4LKg=C8(m!IfWw+w#H3vgAQ z);U!*E$+B;%^JK8J$JT}=g;fvo;gD$2B-i8s5z5G=g3t`rhXu13BKthy<2IOuVC10 zH8Dy)Lyj;!Pu|Yp71HWzI2z5ip`uqEKs`^e-PriDxrsWmHuDmVqet@m+E-qZYi5fD z3OZ5B)~38kW30~oAVu#=N}KChs-c{80tm2=b-+wza+~S7s~4%@a^#>>%j!LhAb-b5 zC?Tmh;9>fvt_yoB7!`Fx|H^QJWCJ#IPBkWHx&G#KhEwcn@ zr#(>4YssZswdEJv6;Fepgr5}a z4t*ddT$!2yl-|qEg5n-iTDl6UTJ7}$IBqbhv2N{F#G|yuh7XX^28pXXgXwVey3-A! z&whiPk(PtI=%uymd2g{q#cTHph721Z$lkL?>^!5xE*m#2$~Y`+519b?8p|KAn?_l? z(!Pa-b!gIhc~99xgDgoKyt{}0U!Ha}a$6-6EGiZg%k1zpF{$fLm1QY-j9$;Y?SPB) zaDW>BOI)br6Qvxq3*-dZn7mCam&|bfik*{L8&e*xCDabI#r(4oaqL4jrSA(*Y@@)N zF}(_}?&1sf8l2xq;2a#Jj);y<%J?nUai`5<5B<~6r&CsZLEgNHcK%Gr)sIp@3Z93Z znROxx-AzQ6dl16pPe;_~o49IJtQ&=iUuiEjq<)iQ)Jw;(u*^G2fwV|7Rr zfFMCrP$wc8K?zvxLzK6x8c6q>=^V6W)}Z|)9Y(?Tugi>UW@f(3&lT2G>g&kwNUx$H zS^4&=nr}$QVdK@iU5kJD;=vg;RqD-m4kRz@L5gNxni@boptDcP;pl@^N2x5s5Bt|+ zs0H3#NYI8o85Pl#_h3v~lgePI#d}V^Ds!JOqQq2&k8&U;J(LW{Li>=k`rGoWP;u(U z>~CfXcEFU@Sg#fv!F(>ccB&NwdOTN)G+_CvtTWKZgr}ddyvhd(Lx_pjn_U~23x|a8 zPR4Ko0bh90(n!H#`&u|}p|~W0J}>$+H~xYP+Ky{DiwKSKa%qLOawar7+g^sXOWEc< zyn^ZV7dnT9F?L`N(n_JYP!~{zM7rU~9__aKFL^vLlU2G$0bKm%SR{}gGlaJ+))rYt z`*(UvoBw(F0dKT-qzJ1C`PSOym!)z2jxQ6 zbCThk6-t1*=p_9^D zkgW*EQ}8UTwKq0qMz*QnLYg;B^3C!JYt!QE)OtGD*-#38lf;9$bZL9+#FR1uv+LpG zVS{6-u0hx$Ht5etgLp6v!)XpIjCk#Sc?>AC{K|owZ6auF#|;Z`$&J7V(P=ivfj(dp zJ}GX-wO8c5Oqc5}WlC|iG+crgQ=1$ZU6Zy~n8}n=mxCf>+}hWkJF0Oy{651@oM@d% zGIFWOI7vtnpH9H~4s5OPTMDaF-$;qUVNw@Wi8r-t<_oM0sC#i9zr)1bhh6m2o6-CG zl>Dn*hFN9YO=3WZB{M8h5=an=y*J;{(+9K(;`zZAN-DuL zaxtE}_)|?0CK0+ZFSvqrYZNhlI!H>(T>L(J* zUd@mGNcleP#qBzSaIo07h;g;QXjdgd|>-c^-;kxMwSy(rkpT5eY)XG`1}K)v^ZECc_HeDk6z zYWJEa*%NFZx%^h9L=hqGpW7`~62(3FC&1$6<50PR<@cGj-NS$Zkyq4uG0nk&>rc?t z3lyaE^TW6=*nie)E4JWk1?gUIh+7U;deS;Lv96xR204N@ijD|_dj$Dlk_w zMhzJ>7+1A&sJn}!=*IssUrYo%RRnb#E7D7A{!gBA6kS}let=B+hD(~-KG$GFDH=5Q z=BWL@p#M6zAedGRHpb$kePc~4JUTK!owXRL{4Pe7S7*X?^?M#3Tdn$?&a52~ecm$q zSF*$sx}JD-YFMywDLVqp#;X4?!L|_(1-(Z}kiI4=IBN>rv3PJ0{y8|YDt-bntDTIR zwZJMpA0S|o>p`4yuH-p>EuRfkDS`X@KmU4XvEW%ii*a@yL&uu z;#!))t1No^{b}p|QlKopX0kElECiE{B(|JpHK|-759Zl>N=@}mc%(_eMt)+0gkB(s zQRvmm-jObm^GUw9(st&1wDx)tedAMMm2So93vRISYX7W4J`u4RfGlq=y20@ zYRmBS+iL#b+48P-<`)gmUh;W%O;9l|B=@G2Ab}4I$UB;lj7h1+gBve1Ak-hxHPJ}$b^yT2}>WN-F_J}_1p0vHnJ55uEb6}?sGay z_LAU!$YeqkGKl@3aJJiAA!Yn5KDW`rVf*Vs`{1Ym1`H$w!c9!THmorCP!#dd$=Hmc z5uV8JR$fGRU_2s>@Wys^P@yZzkK4B;<`WP2;z{?!HjXH*4OP!gXXO zxW&`OtwM>ZO-N<;P@8GsnYHG0%pueWx@yxjAct5IuJk?oOq*~U+06y(z7#n~tRc3X z3)m1`^|O@xx=*z=YjRg1jYl}?J=iaIBkct}9C!7L-X20sOF_34C&It}@51lC*q~mB znMgE$e;?iS_3a*n;f%ft+L>`Klbj_j!WmyEGF2Ztp(_L}fzRbn!6x8|f@-Ly&&{3s zYz>u+DD-s0>qKaIS?ab;2-p#n%9Z^d59-!U6RN0xjyI?w!j4PJEwe3`;?aw?gPEb@ zHR3{-fBJhZ5jhm8tc#Nj&Tyl$?^jcLQ&K9{&0TGla#rg%Qu@yvvR#Hs2u>1cEeO-U z2M5nxNCRM`J3K?jSUVR~tl0kSfT)Wg61Du-F^oHaNn*|<@pGbka{8tJm^@C>7Obh@6qWu7V zcTw?z8^gpn$}vP%kb#;OO6N79&-*`1ocDypuY+~Zoa=C#t}!mlH)3ZZ^b#`s4IK12P?L#J|B~aA=VqYpe6* zm_M~4`sGoEizD;KP3;VgV#5sSbi|hR3>xQEw`$RCn?(#k#7d;;lOH{ai!d#FxLE1E z{hGe*s}2_rlIm0YJ^KSAAby|3US@rSGvKNGMqIpB{8^8-Jokuw>X+M3GT$p<KH)~q3}{Nz>|aece#zFiwNiE6*njY2b+?t-RQjzD7FVV zPhF^Lhk)|FlhZjVy&PDo&{D{u7^|L`HoCXLRq^7#)jx0Fs8}GO@W$^>#YGCCvBgW> zQ=}16U7wQEAgo(b(U8$k=+ref-vC#Tas1D&>h;kv8Zuc?7&%1ka4C(@6>lyf2nUFn@z3y0_$q!0EyP8+Y>oma@#ySAaO*z6nho+MkoKcBryeDtzau zqdNa#LkL^1CH~z|1TL&-ze@zr9mWNHzrwHxTu)!=$u*v7DuU6Awp4ekmz7Ghbi(oB zYnfgy4($G;tueV*i-hm-Rl0yKR0D!ij+b#Ng+FyDZQo5G`_y8bShW3tou?B={U#rp zxS~Ep589rnafsjV3_ZQ3jB2UEKiw+#3k4fr*~LG>j1(DZHn0ajFcjNtT>JTW&XlUJ zLHHC}!lSAqaaoFpG{`o3hJzMYqv-gRzp8mhgzwJW8g+cQmeE4Ph-Eq&7n=1kCcV}W zpg*jPF7~*&+^dhEraE;i(USHSFX?DAn$1}jJ69S??$UCF?h;$x4)2|JsL|`0+k4?SmZ(uQ zPA*kEiX|$GXv-$=7l8q_-^6^F{yR?7)Ej7A{-;#Ectgc%Lv2O5S8%=Cf#k()aL1*e z`VPQ2fBNnWx!>&?{ua!3U;o(NUaLRjZ`>9vQbl%uH81Ke`rhc*Y=%TeaRT5dHnn?g zOyi*JFFjlFY|v@C;VHV`h~o@G)Vs6zKp#K}GxT`XXVl=m-4X8y(dC*>!2GM?I|fHY z7EYqdt-k@`1m)wfs`StwLUIGNTYpiQp5vr}MkFfH@ul{fXAb}vv;cL?{f;$a2Ub+Lg8wWf;{OIZ zxZzm?f8@r`1Be2SsDjviCsp}DMMw>P@S^>bs3|K`&LGy-8r;A{HC&7gey>Tz%Ao) zu9mrfazWoPcQ&tMb;cwoV7QyR#}S*N?y_I=Cyp4RHKZk%ta{jh>5|bDnPwkvj(wRs zz4Bf9*PUJHccdXc=tY8tj5EzECz|ugoLXXO_ae@;mTa1B7UTh3E{sGKIr8VG50kvV zmWceUAhKZ7Fapbjyw*7CR%~Gh==p~Kmtyg1O54xcJStj;7wT|JPR56hcvV%%necJ1 z(KwgP|HBq(zlx4=?aYJDPvC{X%{-XR+=JW+E+M?zITJMLhy^u1dg(MfQk~CakRsw? zodG13QORJhVZ>@TN_UJu9_WgYen{>$bRGS~l9hHk?mTpjI$vw#Xv`%rZu`RRE-9)U z0%<33v*j`)`3#*W#SW|8{soV*H^ig-ct{9LO)UPdn6XUM!}Q)&a)vFExp4UYvA#T| zEo8Ni14)T^oN9+mrv=n%s>7a5@fIZ=(1xhesT`YfS$zghI*i|B_~G7ecMtqy6t+4R z7%dr|_UQPDL=UD?i8D3<>S{E?#3@%kA@3lnU;r)d_vnul{d8^D^~L92 zfZ$9!m9MXx*eML(OFusx`2ppIS&BJ`g4j*8@>45$@Xw<<^iY33C}O3?oGvlik1k|r z`=W5V3^+}iK~v>JHt#~(=@TrM73)@-QW^BWEc2_v^4JItUT zhDhNt4r4TEL#Fk3Fp<$uxh^9-nJEW!4i zJ(RRdO=|)n27|l)WT2d%1eTI6d^DN4jM{lbkD>a9li%Zg^rXQhyfy%{OBELIket?x^gAiDK7d5dNel6M)!yu`4s zR_lL*ae99+bnc$9f^M-TGQ5HH!z)dX%YUq`-8)Q}kKRizK)4j9fL%RAuNL{@f7B-~ z4cc+DQGGYGJR&(Ec34o&C4?&n38A=$=Uh`T7nUG1B8asen_u7aghs`f^Ui#P3HP66 z_Z@o=FF4aN<>b!=en*I%n0blP1+FcHFLL)&`Aj8o8f-E4WtzrxTv~lT(aH!rx$~6M zxAs&W^?l{xn7#EI%Aoca-ygZYZk%o}vmw~8n27%Ma$-{POqm%1XoveMAcyQ81BLI9 zB*I|6r*>!zt1OSt1hn4B7Z#=9PB%mr_tcz)h9;B+{0>gNl4e!IrE~-$9mkrwVo@R! z*ofVojSYragsM$Wyn{sW3t@nhBDvkG#Q!w;29sRPGZqKa1t)6jwtaz^^K zo~6w@!`~1+R7pTlSM&eX|68_QB8QLt@ZbK2z1EDl&5?wpiLd#N@(qWpgVT5KF#THC z+*TjS@(McplvnsG4ZX>g|yUiW*utU02x{i~KWr*n=LvAp?Q z&N@u(!Na!=S)9aDaX>cKR@4{@>&;4?Ep4ubY5t;@lZrf;ZqY80^JaF8I`&9=lt<~? zxK{V}5fNI(8#}kXpRZ`Dn&YYPwuwb}-@hH3*s;`T1e6a_a}AF( znrfoQFw7rh{Y!m^p9Jz+Ch!){FYz;y8Hy2n@S(MSI0WS5nrSh$nAyd3 zNfH!oEd9LBq8ox3tCQ-31Zh21*bj=2#3%t)5=2A-P19uMr_hwF9AG>ykyd|C%yhE0 zQ0qt6na1j$hLLfyTL~g|t<HG*^I(`$w2-E$^-FURO>*_ zQ0wvx^eMopkd+KV$Iy!4*m%--Up&C_2Q+~IK{Aa zle;NUH`W$8l>J~0zPS6CiI3{r*S!qNEIVbGHbd7Z+vhOpZBUAP){hNnmRT?LIWU*c zD!-1RC*ls@#T*u_x%Z|#>=6t@O%^3{C6EmqgV7|KU2(pO^nZu`j1tmFS74>sM&pyB zfN(GqHpc}}buVkJzh%;(>`;`4U9gmt zIuv`by4LUZz{=0jkwjm5GCqi+3f?$kg}+3LV#gC?{O@0CXc8FP@F=w|7YSvY44ZK~ zB~O!G>-$Qj2_jObjE>KK${h&8N<^vj1CUK^T}tBJrEt8rgBEW;?AYZ|iiFr(yE+mM zurqTk^MikNOytT{Vk;mk&~yzFD5};L^Y^nex4!53(kc&*dy;IcA8#~dtYgFMOJI^b z6tl3MjR_D58bm?9`rs=lOnVspci!Izd&yW(wzm8z?{}TzgrE*D#0r(Rve zI8Sjpe>}y-KhDWQB&_X-q*Q?EoD(12luWL|NvS{v7m!uM&zUVuX71oiMl$of1>%ER z%6lD@VGz;=C+(b2kLB+aG+*|{&5tBc@#tBKQgL`o#VdD$?le}G zr{ad1FClmFwnLoBz8*pQ_PJ#+q=Q^rdVC&&jvq$rHZLwsB_f5a{%I9WSg`1rKAq)X zhu5*;|NU@0Y_^YMUru4JpSDlP-R!LFp{AQ80RcFW9%OgJTuJm+_1brTZixtHS3 zmey!!JqbJlIuve5BY`A`aC`*>5v@9^x_yx|2lyu?f=A*Ye4fO=@2AVh;^XaBae<{s z_({GIKiaHHF2%$}k$gk$QYt<;L1J9_xZIdkvHcEXC@$ll?qUq(km6DrkkY2?R%6Pk z7KagQ*2opY;r)azw59^gPxNJDl*LtQ`aB1+Yb$;wXbGMsyW5!}jG9JWq1t|Nk>nMY z9pCRmhUq=zcX_E*Od2uki}g-{23FW$;JfKZC+Q$(p7T+0-da1hol|9c*CdkA$1=bM zv@OG$YHz5;><$CFx!`giEHA4D65SP*^2d5aF&~z1=p)MmxEz0T9KHZB*5e!Z( zO6Q7mr3(P@+1$}XN4SEc#T6qjQTaGDXYx=sNbz^=IH5PFaTD}R!4F^$6S9<&fq;i{ja z8|*neUw~eRgW~fNt49x$AeM#`V*_z`Y{LTgUQ=&OhaM&Tw!&hiR5c+|&v)O(Y_T!e za&y|>x8B3Z4J-f|(dJzO1CbY>*_B2lP^mr+VniyJbTS(CcDO#E2~TAR-R(=UQq|1m zVs6E)6ip}pmlJIfeyyB9yeEQATdx1xbTN|+q!TvQ`0_x(+bSX6oMcyLO*TeUOd}vF zmoL<^7tA2-0)nILc>`!HDe;dTZaa#r+fNE_`3dV*K9oS5Er6#p5mq}M!w452fvLWsqu4GP;! zsB_l&a`7qG3G*aPu<0nhx3}8l^EEHusH_>xs%Hg)O%1|(6?4)wz@-SJqaI~WacqCx z&B91(KfM!L%zsd@7yUB!D5sC@o>Q>VlLZfybn(|xg%|L+3PI#?p80?q-tmR z`iiB-Ck+ts@8<-ov^9P5t)yeXiH5{b%iVmg9TwHHcJ6?qQy8R(OhrK1cNx~Kn|r&} zVe+$VIw9j=>$pcn7bJzPfLJbi1^Ob|o3?`_O+X1Ga?ryqJ-SDQ{fpn!yY7urq^m$! zOWO%LZ(0DE<3a76>NU1T3LxDP2hmu+8Q)~cYyA|0AW*d#zy%Wj>$jU; zyPG-b%Sc_{{-dav6Fx;3d1NPUVn%gi1>tw=`)IpWKBMD2ae^O%I{eTtcns%~juyh3 zq-rZhx^xYY!`m_(a%?e!u+@vt zwqe7?8wihEYB78#e7GgF|D}9k&EE9(P2yD~49a`{fs$rb#@MyF9im0k!5U#~`#WsVfE`d~NS{Qg=e~X|dY=zS569ezK<1_?8L{h6tSmMJqXJx}P zl?6}x&#!ZdTQN0|yW zT@^=IU{@7ASuPgGC^qW%=AOhlp?FZ=`Yp#;W0#4e`;h5V)KRWaE{lW5{jbhCU-L#6 zD+++>=+sB@jmK9vnW`7y{xJH{QF=w8M3e|iS~=39tj_ToUabcskCuP#35uS~Bb`SM zf-MR>4sy@wUCA=4s?-Edr`udctG*G9Gh*&t;Kn!zC(5YGatg-FiBgW{78|>bFz3Q{ z_hp=mN55Cof%UVvc|KmwzpYvr1G7c<^f zS(|9FgVEcbv1sm4keaM1gdx^IUCvOk%KV3Hm2%qY({z;Cuv`d|yJuhz(`&;Zpe%T| z=cKL}N~VzNViwX+|H9Y5&s{;?HA~b0WQdnI>YC5z>74#^KQfdTw(TDD?TQP1Xm%~A z71dB*h69c;AlY^{?bHnD){Q5~_%Y1K1Y^JC#MbIH;O9+XDDm9acc_65T3HfeY2r$% zTS%I4?d~-H+A=l#JV$|2{O;qGo0yd;5seLXGEx&V@5JE@3Po5<04oVL90*$A%o!~q zP})hDvuTGLb}RD?CnycM#m|b)jM=Qv=OHg@8#*H>7)nOrmg_&)or>9U>nO#nYsl=x z$=s=&Cmpd&Tu%Z0xWK@*f$ zs;x1^1LA3}?BN;yL*?XP(~C&wWx`4EYRT?7ni8~2?yYWajd9&#lIru$O6ll*SDu7;xwLDyt`j{R z6jzkF;1*+{cbaNuWG{)c!kUDVj;RHkIMZTIkG&BJ#gnvzPcRc}2P9B2Z@D+9#NK?#ZZFhWYJFQ5S*$N$QyqU>MamEdAiMn9^DBSF#kDjP5V@Cp z_iD%iMY>)OKv&rZZ?q8-UaTjb> ze8Zf0brwy(kw;V+K=pI5KDU6l3vke0n%Q7-3E#6}J=|KWs2!O_BP>I{r^;i^ymKbP zwRw}UI?xeYK%L+I;&mcP0+V6576GO?otI^#oewd&d)f%4X83rGmS$7m{}{kJ7?Obk z?iZY}#ib9-LJBD836u`+ufa=T%)8h#*qgrgpY zXNNYtQZj6lZ3@{R*)X+O@CA=hios7O`8uPg^J$*{L8*K}_EAvDz)U7YlW*UylmVV6 zIZ~?jX7B2Kt@e$F#Mm1vZJUs-tZmrZo%MDvUaP6siXbGGfQmds2m_#Tka^0)$a*Pk< z^_iCP-)J1o*+76qMM+zkluOm9y0{GcYYXAq2E+&po9xCKcv>DK|1>)0bA$ou?$Rrw z^k~Y_gejh_7DQlc%L_4U>xsusk_Ev z7`MGbQk)2f<&B!NhqUgokdqbFrUn4#V*O$G73_PqF$(94QkhVs%NmrXh}>2-hh=VL zb98cLVQmU!Ze(v_Y6>?nG9WM@Z(?c+JUk#TMrmwxWpW@dMr>hpWkh9TZ)9a4FHB`_ zXLM*FH#jvjATLa1ZfA68F(5HCG&LYEOl59obZ9alHaIsm3NK7$ZfA68GaxV^K0XR_ zbaG{3Z3=kWjdTT6)ZNxTDP2kl0)t4`(2aC=O3DBO48jaCbV`?`w9+Bc-6D;obVy2f zC|%#E@4fGR@BhEn_pMp$H)rqt?0xn==Xnl2t%f$cq$SK8EC++a*||7?!T@PiRYg7k z5Xi#;1af23)9XOscHqC<*z|f}Cuax@D*PV+X(uoUj_}EV;0T;53<^+ku>)}N0J!*t zxdeoPKma!oDD*EN%t;s^19F8}0#rEwN-!wc8Jk`j=HTH3v9^IDw)xi*z+}M;;1UuN zVEdg8khBLoK`cN}fGP-X1GY!(XaTYVXu~WZV7SLWN-&Aqz~K(UoSbfMZX6(cXAYQ? zwKy{yzzqVo0ce4p!A`DVOTe#z0cs$7@Sn*zu;~FhHW24Oer=c)+zsRe1|S@E5DPHW z8Ij=vwFEl>5Ss(E6;%N04q)gXu*x3*8{n_A0dR3}{kz;>*}n=wpudwr78Wpj2N2W) z0<{KMLF~W)bvYFdxI3H;0D@Zn0)p(EVTgQ?D+po-GDiS@cMbx`NooQ>hyni^&)LEW z;sAH%aE93Z8jX+!^~?boGsqPTfIGQ>eZ2lN@J|byiwj^0v48{2!PXEc_TSYJ zZm`uK8*%wg5O;tP5Wzhz0PxrE-zyUYy)0o+JCDENzwejRKweSBK#ld!#Q%;-Nx|F! zUOWN-c5Xf(g08$m00G3p=bu$HK#;$>0REk-2(^L%xPX7UMI6(=I(Gew08D?0gBkG8 zVrno1Yrz1fze#Qk2E}rhiij(eS_Q z-wy*A><+fTo}GeOhy>YI1+`pMNK(47uMdl&AEsQq;AS7rGsT2=%Z|NViPwJrZch25 z+-w(@oT+V_nv~;3#^Ur3ueEBL8V}wxb{e@YYZ~*|srxhJi3G3nCr_sc8j!N}lccDH z3!S==G^ip8KVv<&wC>iXC-7#h>YPb%V<7$@C!iGEqW0-?#fNt)q)&wO_P%Su8_oN4 z*7<&tGiH9bj|p6jG7e8xOM9v;`soro-mRQ)xwpS>o~VneJ@U1ZYry)^vk*9utVrJz z8D5NXz4;vco6JJj-L!{Z=JJmub}hS$mza|-s?<(w)=qX!XjvS)GU~~@F!%CRHdIl3H9c_Jzl}w$^B$hJPq<{C z6;GcW2!GUDm{@!e9uyQ^AD}LO$7DZ16oZjk{edU1JonU>C?eT01U+Ir6uh^+S&Hd2 zS3I$5ccd@2s&CsZ7N5&|1Y$UQxbw!`kGt?~e$U0%h~m!9TFFEwO6D)i0@v5xV-Cjp zBGTUK%cVfiAAotcDou?oQg>pj0!73{bab_V*e+ z$#uTCAYL99QC4@95pzQeX@v@{9R_v9+|TqSN=X9UTZxKbm5Hg@ucjh>t=BvrXp&n5 z__85p0rIYl57Ntr9uCV6eo5I#3h7_6KFkJG>Eh75v8ZvwRHiuvhCk}z_8Y&$xWDfe z^hArI+;Yep{QR_Dc9Z=3)(sPuuKA+5Y%1Bs>iURYB)R%X3pXWc7^!Xiiy%4rgP(UC zD&7oH#R8z6f z=c8jiHW+747k9HOy0#11`x%s9_qAb(**f}lE!G&i_(dzu5KC%=QY)?F$=W?pu12|k zwps1@=5~T<5U#W$@-^P~xsIU`pG|TQ-$xoWHumHC#V(PiTgqqovC?zhomU+Pxic>M zCXO6R{>at^^m;}sNVK$J$bFUc?@4t`tOk%k*vy3igsXS?V>nz;%)*vwxgQ`IvkFm? zAmY!QlqgJnMPWi(l{YAfp-=W!S$pWK4n+?!feP^l~={Qw*l!-i9z?Lvl<;6W$}+FH2P~`8lO2#9@{hN53-goFT%WA$3J| z@~f$y1Ajjt3~quD((R>O@qN``k7;G2R1c={O;v(k#CxH!ApsCGTR8D?B=T5z7Kb?OLgE}Fh)zdOD(i)*0>^6savB=@Eyx$S(P z8_ps?|7OHN=vA1TGo_KF&WkHG@_dm6hQ3$%zA%C2a?bqf!CWL%7ZZ}^t@s1W=dul@0$qVv4%EjeMY{8^{q@h)(3m|bSa;4Q z8B!l5hrKYzSLK zA*&R8i0*I={XPbf(X%xI?W*+mL6}lIJ#jUsaTiugjJlTan&2le?FA>r6nVmQ(q1f~ zpn?VkA9X>81x*jxq1X+D_T~s1(7MFU<+M?XvIbV|peybtW(TPbi3M{>B5NE6o-o+P z4Ssk}O<#=W(vLVX-1cjEhrWTG1?3PSe)P|ET{eOJx^G=%i0W>5s88*^r^e*3);N;D zfgSNeA1=&!-!Pk1x}_+;O7wLWs~K}a){C1ZmTs;TWiK*I&PnDOstS_2co$q)D9sb~ ze!RKsK>I9lom3o3@ku|f_!y}&rLpP>?e{Crn)1!dW_H1cW<%pSgXnFV!r5E+Q<*tl z-TQ{LGDb%@9hb?~db3K$0{lJW6(I4tpF>Fn!FP2|R#g1}5c+;+KSt~W*ImwHfuC`PUm_7s2g@UP_2&ay(C&5TC|q;* z5?=}pPAsH~q4KHOVCCxU9)jiLry{>RV)v0hGur0DXLnpgSD_}|1KGgc^Zmd~^j!Uq znUMGi;6W%&rCJv@@WfP^dnbnp7eKC+R+R0g1(Rn)eAg?4Z{4uUMR&91-Dj1(A`@P08`R}*3A}fQ zxhO}ICMM9R?ci{S$xXLBg-laQ%BRXpHloY&e?j!JqQ*ZfTn9 z4|ju5vpn2Pvb!`le&3L{NK%MCs3hqgdIYq_zZJcMXGu=TTR!2W3Hp3f|Xsq zvFayJ_U#I^Z&vG*bDB{i`0kE{(XU=lsUCAv9bSh^6(V-1j2?r-Xo{e9WF1k1`3v69 zuw+M&sUziHRPM%PH+VsDLzI2ab)j|_Z(vSy_gZ75wFnAcA*Why?wzJiKq6RLcw_xnuhAC%e8UfgcivJ1b7DRVG9;JrVY8jCqOyAb)JnuICPri$^>NZ)NH8LKOX#j#RgeMsoUV1pD-nFfq|k?`_E>V4 zVjfARf1e?T?;GcsMKlGAKjFgWT=d1u*mC%+$+`>;bn1k6oLX0tn~~8!5Z|F$EBm4( zZhz0>=j$hwvq5g^IT3*E@Xz74bP2 zBoCvN*}fZ*vXm3O!>LcFqNX{QIqtVSZO!I`q*K$)9=R{!IN14f9rea?h3Jy&6_jt{ zHpz3`t2^J<7>tKCv8}%ohZZz(#G_G-i%u&}@u>B~kmc*-#IGE_!IHs*)Ld^b+ z&b$vR_O%?1mjmZ=TKW!|3;{K+VAVLUXgbxwBh8-IzkKvcV#8oO!-n+TrrEmh(`flII-1n)3AoH8h*$fp*X$qqY_9QYi3Y zDNW^b6r+7^|M^5EZ%f&8QvqY6cAgvRdU&T2od2ZLHJSNkSlyP2Q}pnfoVSRHSe`H8 zuypQ!p8~jq83FH=Y*kks(RyICFMU@EVzA)ig>J3|PN`qjMh>o16BvHK$FsGPd`LgV zu4t{{nex1x%=jfj%)LmRh5FbH%6hoTLS8R{S+Thq#cop~pP8%6T(VGHU>d~uij&jB zeayZ<9bU}9d7g*0D%Az0X{_$YV%~u)HBWzdbXc58hWoJ2u%9RiW+Pt^)O09qu$a-( zZmqZ{b^ z4fSMqF>?Pjr?cQidJZ`(zSsDYN;8K!vF zefxcflnu}ONthJ|zZyY!l)(wQ77Of1Edh>4;a``i4Wvf2C0LDE+nea>^Xcc9+QA44W#`Z25G@RA06>r#t%J{} zRa&r89is=t-$SUKLybse?0=Ua{JCPN=%nyEPQhJf(p8NzT*EBh+DOQd`NNsW8G8Dm zmV|G?Ihr|EgC*lsZG|Mh5il(o8ZR21$?X|Q>|xlOU+0+%X3ip_SxVawX@%dokJ;bL z+YC_c5b_c;`{o@7nm<1s-a_Xu+{e#mIG8lCHpF${vv+H91Qff82IsbG4KZcpP?TR(QRB;#r=NB}_4ypR!6H$Q7;{M5 zQCW9+JU{rrR{9(~H@|k!8?&dkASJpKUWIboeX2PGw~h+b8KQsD*J<*Ac5Lr9_T_K4 zLbWsQ+h*;X%r76WTX@!(z-jU-n=M#8;LH-n{$02vpN$-RH-EDl60WNRExN`Jc0bID zWQ|mEnyi?wsc>?%mopF&g`pD9qrRQwrlk{|tIBdrTHvkwTc(>d!OTgOFY%FCibqM$ z&}l^&-Abg_3J_|LWp1*abWC_blYUpJTOd*<777%p91MN^{gEoT*41+Ri??Jc_=nT5 z3@h2k76&c5^@i8@kbdofx7w8_brtUsMGoo3r3^z702)!&@j#gSS$5%Ynbq*o6<~*a z`Hf7ceoQaD^;N{}bQ=67dX7&QO-8J&MCqnS69adHU1q!~4QuBxH-qRUG3pUA3Q3!! zMsp1|!Akh`f{XDu@hGFI4${ja_;8W_Z0~oX|FiNAjg8grw=qMB{2vXzCG+;xY4{9; z%4rr)Gh9n|m|-At&wTd30#N8mqB6zZwIs8;xw10C#?X`Gs&hvjJDxf zCFAZG^s0RKFcWTYZhihmgcqOPOe6fo#C+%_9_=I#d*B6qxke_H4Jx*t7VRh_zmw>A zf9Rm!?1O;k=^?PGHxEUjLZIlMrbi)y_f%b{h!w@s?AmDy_0NOS`j2pw1(Z>Jjjx)~ zL)(^JwH5NP+ZMta9d_bq4}2(Xy{4vck7clqxh$sZDqj02Y=RUX+EeA<=OUXp+e7$m zgMZcemW}prT{?HJP2Ej@+xHv+>2R{dt3x(BNu*s>sBWxqhytXM@i$ubHZ)=Nd|RxT z&N6gtUm1*KUFTPno)tc>_}8n4_EYUOEeK;XJI6^vK>>>rbzY3%?# zsUZb#mpUjSDSYOO{B_`&1<7>opC(o79(A1A=Yd|kb7&)S>L|SQENC)Bp83+b4K%5g z%b#aCjuP>gJErKO^G>XFbO#QM<(P8OEwjfECmLPgFR+NbF*<&+$;*_D{b$2L^XBXu zm=Q-I#=wSNisMgL)qV<-G+7&zt$mp2nphDngy4{kxa9MT#|O{a!7Wtc9Ttfz`gqWZyztWm!vZN_cD34tX|?WMuxGXtHYiCJ`p1k6`>)3Pfz?Eq;z>3ap6N zt3c=xk_j|p7|_sxR7sFh85`#j(0-mj}XYw6} z)O7;KW(uh>BGw^vRpE#pf$1Ko*(cCuUZLmgYLE9}&vVAsclZ(7(x&ML2WL5*_hX%x z-kmgQ@aaUu_p^BK6elPE zH1$cb)X-vs9+~ssDwfK>dI|@y4LN1wsk?Hcn9e4&p`{~p+(>b%m3PVsNdW=N*+ z$d-fhcf36%X56dM)<-&sr=3pPII88W#K{97&FTM}C=l?~W#-cz9faov!Svg^x5C!b z*dx6~H&JnJdl`LTxx*b^>hh@whxuLCMpkRE6%HFG-lj4QC<(B+Lk#va?*OMGeW{Rm zh}9K?Yoz5cpT$-Gktsa+!L)kzs*1NY9^qhcd+&(*df(pTGS7_BeMimMyh~uMi49d; zpsNdVQ}&EKl;9TsOxI*B?mz1v5<1bLUa08Dc`|a zgmQlG_7;$;vT}l+Q*ww5)^DNw6VpV~fD(cx9FmJE1D#_!hAbCBNSl%%Chuo&3DbHC z#kVcJz-XX_(Q^w?rZI}xLflD?({M#bmaq(2@PaBW$N!aq`TTB}5DzjY%GVg(AtwoB zemAkN{<$+LD$^A3FFRETDI)OaZU@+DP?fN><&F37r0FY>$Fu0D&_qK0V2cdHUbsa{ z7cUMiF-Pe+F?dN8p^0^Gv0<4y#JdZ6zUzq{tr9GTo~^oxA8nlNEz*7|z^-M~4ETW^ z{Q?6gO z;ZLe$dFT_fFPm$I&0>IEVxy;^lIyLjP6`yu$HGP|$C54R%*`CWD>NY~qUi&I@@A3L zL4SnqkVZGUbff4&Xt%BT+09m}eDyea?7zF3ibLCYD=tM&BZcZzzrzOvg1xL@3OODv z-cWvTikx9j(|D1Jcmcy55Pr_~gDE3bQfBuG@>|NV?n(rP+y*@{I!0qYtu(qBozVnI zF%FAo3vw2gvVn53K!(LwJmRHe2fl!HBlLd4dIJQfeODA5%C~pqPYDwo<=VT#+z{9w zuZyn4lJmtm7vCGZJQT3Ex^@$tRXbKbKwTb+EST-2y4sR$(}G&6TCZ5jKrrY!QuTKTGH@LJoI$R0&^5IRx~cvWpH z(w#32_O~BQ>sabD_{Y|@oiT7yAk`x@X49j~@i=*I(GEu7J7WDB)U*%ZE{-aSwE+_m z+^8)qdSLDwoIaSI)nq+LdD*USDHp0c(?m6xXpeRpQ~h?{!!keI6R+Pv4`q#z8y+Tf z4hfB|u7#O?s%HMn{h?`#Aj#do*9bgO&fxhU4!88$_>izSf5myw_FTNVQ(h; z#jm@1Ax)(HE;hgbktZacm9eO}j@;7@>KP1KZtr4B2aD3dU}J?-I}SbO23R)5u|;i5 zP~p{WA7r4tldLx`Uax$2A;N}Y5Hzeo?uA~=B?xbmZN=TR(2LcP=0rXErPELT5b9!IdfA~kcipDBFbI;j#%zKqYe}%tkD6046y#05dfJW^j0Ba(HB9|B#4?FFzPtTz3E?uvr0Pe;#0g(bdsm#9W=_ z)!7+93p2P+i6{Oz04icD0A_Y}@}0d~07GkJ@ce`TSb<#t6FZ}ygoW{bsC+AH5Ej6W zpE?8;?^A+!TzKN5s3_>5fEMDQnxG5-R@{D22qy6IbdF38jw}q|Un`7!0|VQ~x>=0< z2|%k;fib@cRa;p>IxsjgfA|2@`SIb=hoPZ~(e+`#`vjbPDq3)bX6A;Ew1(|Im~()? zTv-2%fDitI-I<~lOXvNgku0spbLO7Hqn1fEcH&! zKlkhoYyeuA7`_I`_Y3=dTh1&_0Gk0gm^cAyel6qg>gjQmQCk>Mn_Ajg z>;5&T*Wt}#|@{a@wC7LEScJ`e`} zh?$uI0oOCyIW#*o0LWeekkyHuNBah=IyN%CYfOHnzZU}1!g6YG`=5&-k?Hd*CdRF#A6q z_FwvnC@=y3bU~N+YZuu{TLH{U{ZzjgOaCg?KlVWKKi`}bfPdW>K)2vmGXctf2|L)3 zxsw*gu%G@9Ex&pEi#zZW{qQ6H_@k8=oS3|{XIjo+1^IPt^LA%s{K4ND^TpKk-Nui_@BU7k?0+!c5b(o4(qBI|&iQr2 zJ!BJW9re4xh2{qD?;jZGhy6V|=SSe~5Be|`jFHv(Gh_2l7#Kx+J^*?@-+(r-x&ruH zV{~=^!VvvK`ibG-1c-L}%ZJbT<`0MNFTckh9sw~>`2=qO!chGav;h!n@k8MDSN!1* z&%y40chuCt{uX~+L&1po1J>lvmc8bq^N)l4iHi;b?YDScll^j3`)l{X$oxb9mH_^y ze_x0g@f(O!qxpmOeKva0zb~S=^4lN7V%Ypf{~ot{)4wN9IPxQy5;qXf-|%}G8u%t` zU~>2_V~dTu;0T2It;jhc<{j_9$V>M#bVi=%7u4XRa{A;~HZc1rpL)Shiu=|5t1?cF z>$dY7`V&PUCI=6L2m9$+!@vH(|9+#jH9E910_p2EupY*?P{d#VP@s;!6Y6810QbrL z%%2eA*DQyI#zM$j*osu2nbb+3P1CqFPn~Z$S3_v<8`snCeqFaEuyZl)Dk4wiU?FCU z)^+a#&Xc}xCnwMpumqj@%A^q*Rz73^C>6m7*aRlGuwl!WianIn+-pnT7Yb0M8lXg8 zuDCBMYh_V}i}Ke#GSLQIHsh#n9rFzm&S6@Vg77!3ZXs<(45B1ye3+NR9hWR6g|1{@oZ-K++Y7)UpocDq#6XZ@hoS zm@F?bQ~u(++^YvdjD;73nHvPN^YKG zb(T_&wGV^bD#c6uIfL}OHphboN}iGX_qWt6ns)tMGzgjO(TG!C?+9G8b|Qxpz*h!?f$00R40GKc7GcpQA6}?00P9cR z6$c}%0?F~3GTH+ObAe66dNQ+zrKm!9lAC_c$ zZvpNDy^CFoyg7!oL6_)4zN_Rah5iB=?bdz9(XEE+Zb@S4_v$*VLphBpZ&M6286PMJ zc3;b~A@TGuUXU~hcyb{%)V-(V#(dj?L5mm_UN6SBoI+#>K(qh#St~#3+WEk}(U|uj z1sxi0t-9CVI1_5O%qdMevRHk1xFn-0B?{B&X&H*;pL?9n9^Pjuco@2=70;bd(71;3 zbN}M1TZn%-H)qi8`y>iv-(blkVw?XLn+5egin_m^)Gdl|VZtcmYKQLP9KfjQ>>UK# zb>1+g!B6NJTfE&bx>J>G-lH^jq8KojDPI?eCfPV!Gp_Y*Ti}-_p$@wAuy<(26qcms zQPmCL`_RG&G@!T0$R%Fw_QrmUriL~Hb0j~LXg$rix8%{!8N(J|mDr`eQY@!cdNNDq zjw{rgJk`lueCkba4iUX)>!*>VFm#YunHmz&l=fZoK2!S_%Fyb^y^pd&WsE&L{aY!V zXrJDXlWSRgk3{z~DIw>VDq9cuO5?vhpDM`sZ*6-cw}Lg{9)?o=5n$up)~NVQnmrO{ z2;Ss@7P-fJ;o1yW7?9ML2VjaDY2H{v8dlc}>2Nuh@dq(H;Udgnp z5x&0g$yan4g_W+1E%3jrUiR~jQda6y_8C5jO)CM6V+bP-G6-siCmz0q%A+&k~DG+iW%AZ5->Mu%$EOnZ*%#_J%V7Tg@2@?_eKiu zkqv8Bu&!|T8*uMqMh@oMbAqkpV=N(whJAi;1B@N5_92wB6RXa?s&tYbvfsN0;B?YHI#9qHClbP650+BgJlo@*l_8*^dY`Av(J z#>p2sFlcUriv1N%{v#MbYG&pr_EU5%BWDGI&bb5Eh58Q_PsGaKQQx_>LgZ+ii`hMP z43QfeB0`|?gkVzUqjfjb6ZAc9@0FE0FrhDl$H$=y~>0_v%<2FCapWU{{G%&k^1x@#bC+{ifY<~-!j?q}XwM*lfR|$AJ zmqqmgp%MK^e;14<9yr+yOI@28)GqEUFVEwj-~-7Mtw+~q%Vj z54PcJ$bKKmmkWyRvlvzL{BCD;e+p{q|81X9?!gBeNU5ujga zHSc9=7;3gag_gZgv*_>P$a6r&-6-=sk=NdXek^aB6O@e8TBC!P6Vn^1`8A!4B#J4h zuf+GE65&z%b)6%?_LU#aB*tb^|1m#Y&!58_3Km7>T0pbZ3c<`x|FYjPI2i+Al#Js} z;#%EL>XC6d3j>UOxV`|twM*Sp8=OvbH}xO`g_b!?8D)8W#Sivs(1LN3_0ox5JnaO# zWbp@^*nJK}PC&rf=pUK+`#Q}SU82aX65R7{=aq%ums+pn05fIxa69rh!u%`zR)^kW z4JK8ZErgo92c5GNA1nxn2KAGkH(5=j$b4bxbsTL^M!ME%YEcwu82zbwoGsy}N9e|} zkXyU+hnl?B+1XbC;FwJf_;mTyVqNT5N zcRgO0=P&Jj8LPOOjfUu7dPSK)ki;P0mr3}ufT$zD;om>N=VL)mi(3b+a`se@ZCkn@ zYAo7cK5W$&Rc=k;^YXD=ln9MXFkfIikMjU|Rti8=@3Hyl^<2%MW44nX=1ArrBr7bp z;OHB^*wqo%RT&D{i}89*TOi-0?U2gt%@tP57cm`phfo^C5lMILqBqoBNh1s9(fKZz z+8N5TA+V*Dvq!c=ODUI<{x!?NEsk;^LYeT_>ppIu$Md4|xBnCkGq6+yqjfV=Ls5Nf zS%ob7vCzY$_8gUEDQ)_!I$~OdQ_{a-6V>R+YsTWs91gCVzJO0^uudMLfco@AW{TOS zlyREr`r~oR zQ*J=`=iyMvwoe2~8NIrBmLn`roc4~MSP)o84r(x5L1p%!id_XFV>xF1<6j=xmJ%71&EpmfK+ETZvmwa{;$466pd71&K6Gy%DaP}oKI-E}Gpd5zEprZc;*()YSsPA|W3IBcM%)X#CbsMEfy4npEW96DgI#XB&jvkp$oC^nhn&ogEVIm%s zFf%nE+_6e{H1GKWx9^r^^a5Yda!y16t`|2Z=bz6;szr959COVPlBF(#F5IO)bwMGR zb-5(5V(cafdp6o2W_?-AnyS?S!f(r!h|ca^3nXg!FtH>ks4ZeWktp$zsX$>}BU4%0 z5{M8UrbQY^7vVTfDDP|h-aZjpQH6Se*E(rgoqLs-vZjXq{X*8Hx)Z(vUfcGTf8!qu zxqJ=aA<*|cZ~v!roJyT7DRvSvsNxCyA<4=H?=1b_b!9wBHDRd<#J-QTR3=QA0rW)tTR_?87lXiJhlPnw0LP(V)<^)@MLa3mMS%k ziA#z>-`0T9fnciJ#Q&D{KTk!64`zaOS>U`Vno4c4Sf1LbH_U4eXXkExk`No1iEU)DxAnH*WUF?~Rm`euHh4fM1||t_*eVHrt9Ox=)JfO7%v>GJD(8 z6%}Ie?({A0Nz%$&R%QC9^Kjee!|e3<>}RaG;J&a^@4l%z}k<7JBef!2g+V_&kv3kA9|=tp<&?j&kXJktDkl zp{)BTTt^Xco~geDUnMI;-*x7lU7GD(a|6H0!5bB-dO;>)v(xp;8Qf>g;sc;^kI92Z zvX~Z~%xX%2fwWtX4>m%0`0A@X+`fBD0iTa)4MsH)OD?|#BJYQ5Xqe`EM1IinJ*056 z{>JML@Q?8l9{2&C9Tu7zjQHMItmz6FbC`X(#?|CSbmdW8;@$D$w*ElUd*2o~rM!?A zgKt1|dUm}zTVgrb=LW>M5WRa_G-d?i&vBvIN!9%Nroesf6FFu29hzH;ewr`P(CmEM zLKmO?$VS*UeNL&x*%!sB$&x|OM$=*c10KL@Lr)s}RL0fA#jLQYmK{dwdGV=MaaM2< zTZ4RGBuPRI5mS&IFd5I_} zGQ*X^Q;ydwKsh~Ouw_xCfiu#wgq}p;EY%tAJVQ?CNs(5RyXU4~O+n_x{TQypv7n*$ zMl#j5;_n>o%B4?95j6)j$f$C#2(MGRSTMF-o8$o{-U!AB50im5r!~5o-r8#90cL3a zrdMH?F7N|ly;Dq}!n)FMOFeH1xF%5>Y54(*5={`0a{I``3@odUO9kGPiG9rDg|yWn zN*y~L1_k|3vd3e@WZ?_`5@JoXVvcHDOmcg~__bs^{@qOlt?I30S=}9LMR{3mLM8S! z;wD%Vw#Q1~NEBH7N5?h6Up@;sU6UhqD-Jx=6qP4%lp%f|MFhW~XZB3I-k zBjp+GI7K=ZNKGOKXeIq^~QlYM{8fFuk@6>{!IZww2ykNb;;#|g{n z1u6!JJG2`hFLIGC)?IU<8;=NVZ+KVNwCVr?6eKY|W0E}O?xc#Qefklpl^Wpd; z9;?#1lVDGGz3a`&e( z66D$p?Xk$Y6wnWBo5N=d3?9^v;*wh@37VYw`Bb<%9RzXG_L_W%K495;|f1!d@Tzn2bqdfr>xY|z?VSe3X+2iFrT8!|XQg!k+Ffh3>i%=As1YndnESZWPO}+tA@7Om9BH%tBvMEsmbCX(;Tv<{@d37+>Y< zO|gka`c)Xeg~)P?Aqo^_TmJr{rt>HStA)dEESRLEPcg|v7JcpE(dc%kfZV;YH-#FM zN#mXEc8}RByGOztc>cEVMgkH^AsWPAswz@p?>KS6<>peh5}KMHH@tn81*&7AK{ha9 zao&Z>$2fp`Z&s=b?=`2}d5cY33Aw!8gTQOPQtG!lW1n!;8)UE>A-U$CFX(cNNB0SR z>zqcld1()>VQ74GeS%jwo|k}57Hl&0K{Ft_JAc*5MAG?#AcF*DxpXldX|Rr5$m?4e zSq&p)@x%g?R*TQBA|7`|<6l8U1BAX`?tv3CZ^75gddc5Op^l~uIC;^WcKB2lRl@Pj z*L0O98kv`UCk^B~Ojr8m7Ap?}=?diBfpmQeNX`hTeoP!$Y-2^$xtw_-8T_Ct*++GX z{h~zJkH*#G)^mg`o)r+!ZytWl4w$<4=*~~4GWn|sLp#My&1t(9@IpmJwq$O-yn#l| z!tvfCe40;NWb6(?9jbn)H|snhS=~3RIaRuR8lh`@4^*yjKD`e@pyqA;DV5Pm@In<- zBp10jK4OGZzRfo1NupsgXdq%Ac<^iaB)+X1b~Z1M6D$Huyhdq8#N^CK{~R4}QnDQB z@hF0#}4hkR0g zCjrc=C{$

#;_aN$+3qKR)4d+_C0n5YhF1;*}jc)hKep+YpwUJu{58>?%s80{Jr_ z==BSrcZ7kxgxoQhVI$?aw9CxX!jSE>e5UI&4PRQ`RZ%jxxe^C2i*4=K#`C4U7&h_! zCSqUIpT{p3L&qS{h#n0RtR>Ntl0(?8w8M_j+R*GD_z%d5g807ejA;|y>KDYtHI_J% z+A+P$Xe=gIL6^5E(I?RvIg+>yuzC($(of~7)>j(A=Id#jl_uprN^YdReEe#qJOcz3 z)cDQhlpH53{1%VyC48889q(hkxloBKMTg-w^bjV#iW}jJGTEH)>S`gR8wQs|5wu1haB<_t)2D3Z7AG^f zP0RKj^Xtl;wo6Oh!Safm&Kh$_JJ#9zWs=DVXmtq=9e5~nL zN1JQkq^kLC@Cb4;UvBQxv4iA?Gqq=O=_C?DwxtjPExOd2$wA5-cM12}HX z7DK!sE9m3L{7gK3t2NgR%%aXG!E4B&0+YiIckR>}!zfivaXSzBHA^GQsC1k%qNZQQ0Lyx^J*8 zp}%x5mZz2A5k#}JmJ#Cc<~px*jt+drXGvb*p;H{A@li5;1<(T%?z?IZCm( z=O(Ud(&suvTF|0xhtrR8z0-&z$e;(gBP^%!Qvq#pS~B+(1peG+QTHvg|!73v=#~HkhZ@q9#~q zWC%qp?Zm~ggN1sowBBpi`(2XP!~gE3KDG&G5($?3V{^1lcYX1{LD8v_)|An8%K(=+ zwr|&iZ`?)hJ$DQzP~L^4iZd;SDAN_nJC#ShIsSR~3~ygyr|)r4gCExaLGrxakm}E^ z&`)0Xx(f&Wh>^)%nSuqCAI8Cu5sV#twX&yZOp>m6F&*0_$uln;!e%i*pF(zfSw=TG zUy{hOhnXJkwoZH4?Xz3hp)09QsM%9S;Z@*ub&*TF0~^B@^<1}0DS&)zWM#i?74|b{ zs7-BM$Q>91eBsa7JZMBP(v9Qm*vLHkGO=qtmCM-N2s-P zaEO^R?B2av1Es@#GjHHR+BZ@A|sYd>#bL{ zGtTsT>HKumbUi|EYR7vNAEJFtK9 zUc6o0;UQxWpC;sj%*u&Q)rPWD1_oP1cib~Y_b}ubtLo}G?heRvfr98K)}3&4KsYbQ zY(nt$h>iiTPu_go_E@{fFoWCrAen4;8c!&KsQ)fYK{ca%>8Xf*?R9#HoNJOq(+I`s zH$9f(otlasU}ffM&s}BlvSwuYyMDI#l%-U7#3&_MmDdn-+N=YAs#f`nu0xCVpT=?b z@uC!%FR%Q@3tIQ3YH86R8`M$d7{9KgPekLTG^%?E*6vD7U$##gJ#VP(o#BwLfAST< z9_qK~ug7qFqHPJ$!3L>=wBXqOv^#cz_I}NhkG@>bOx{%lb=vJ~I7a7?Q&ufl!>BW5 zl0{lesb(jU2fSHJitDc9hw=+zNmSQ4S)v~Jc)pBG3U%%z5lv|;(~0L zT&ZZkwV{Fk7AS_*z+9VqaosuJ4!EFk|IhmjSjbhNGZ&qL5Y5sR77L9H1}96BG9$ZG z+T{&F-YYaKA|GoR`V(Yco>agp(Gh;3q~*S4<;oSs^b)^MIs*5K~G5OitM zdA_0mqGL1pK}n!TVj*nZDZuVe3-tLQU)1;#(S5g5w8GVlB{|Ap+*`8T@gDCeVLv*mguDm7x?*PxRBX;6nc(P3m;Cm4GI2eZWD@>_W>0!=QZT62jK9{ae!G} zwlzYa7M#r%M8dUgR6NSK_Bv%}(<1ky3BNvgE3czG3+u9|Y@%Y^ zQXlSfhawqG_g1soiL(um#w~M^aqDbymF1Uy%p%iUC8-P&GC2}mmsPF?o=*uHMw&KIw{3fVgb z1>h<%p|%>LKrU7p@c%CAobF#7tH88WOD?=V;9QiKvdbbnlC zy`l>V|LMv-3iqd@uH*~Hg83O* zJ!*{KfE&cbf;tmR*s!6vF?VMz8<4LzGrY-t>Scx`J@-yjfA}XW+D(ZuKiL}vOK?x5 zVaC38^I(VXc(K_GXBSP3@+n!OFYSByzuI6z0TJwf+A})V0w%Qu^du?!UP&kZvg5ao zt~xJdbH&-&^tLwdbaX`ngyvXw{7*^S2~}Fyab_qVa*=+H=@%JT;H?Q5=CxP4gyevj zu`zGjE|E1$6C8fva=3sZ9Iz1^ctRifkXJ%>TZic0qzotMFn0xKO^@tw+{ZU`Oc7w5 zxnq086n#5cw%R7wKoMunAR5*GtG6`;r^Qt}eg zeJ=1q7gh|tgF!^j`EqohSTBI@_lhdK3YrXEjyuiHt0=+@E^YPgXGS*bsrpVRS(#yl zpdY)FUK4bgnx(Pe$k$0c0bqqy)+-%fe@=B0z!2sW?(SaJ^Q<47L46==DZbjETu$&` z@+dtndJ7g={k;>aPY9D!tVhrF)(2UaN5{VcD>Z&~AuK95>{Bt-x{n*nDG!!Ed&0N# zv1S9`RF-RP{J_%-slSR-kB$qlK6v2r3Lm0pKRjCsf&q6Ml20q*4b}x)2iXgE&mJy2 zpp=1~>yEwy?NJzy1C^pX(OK(YkEgi?1qssekZSLYY=;_XCERit=2|a`^|+^?)HF>z zo$anIVb$VU)}|o;TF7KqbCVdSNCTJ*bM{%vdS^{I4c-+@W2cLs+FYz(JX?)~VM(x(mzjH-5-Yvm7+uA#R_m1+ zML=zn$;O@=`5S~{|891j&qZo1-F^jll~m;YLfY;5bg^(*l98cK>@bxQ-V6lir*;$s zM*C!J$vp7soAfJRADOwkdwiQTzeSX1jz#PpZl-xoOhlzjdh6;>u$5O1;GIg8=9Q>%=~A0ZnKAFC=Hz?IAvhgpGVy~FTOG)0aQ;UdoIY&TX!KoYfI6H` z<%rfIXWP=(LW&^nS(kOiY_fZ|YoPn@#buxDP>3k%W|^@dbBD;I=%-9AXqWP~_K6_V z=epMKmjS^J@)p||=VUK{hMExe0wKNKGSn@a|g?%n*G+qp;fXiofH z=kAqXni0BTo@~ak|Kvf(iLzrUiR}2CbD844->2IhCw3(|x*0>IH*oKD#8RBPm%{ip zd=N7EY3-eIcqe(`@|fKfTM;!KZ8N#URHX}~@n^3m9aSt9ztb_IqSja3QIFmeHIN(= z6gE*cWkz&;q?}_Trs({dg?h8-08=gfk18U?vIV?mKc02nK(9jBhcZrtFrgyz(H35?$r-9dg@=^9`FRdqT@DUjxIkFFEML@8JHen z=EH?|tyInoflU zgb^z(9;NNQI>Q)pl~Bq*Vk`-5kpE`28XQ8u6eL&gTjw!5RuJK=*hmBcun9h*BHWy| zY#(<`XaEu7YT)lz)rH7;*MpHYA6gwl0MulH}9>m3GiGDiih|f@2Ngee{8G`*OS8oy!^P;s8J2E0z;0Ydvoi*aptNz-Nx-72 zNW?c0dq`V3SskBPEWL*L2XH|xg(h%VE-Xnm61x3NfptwSbi~jYeg#U^WEPyvHCARf zgw=Sx`|fsfk{@b>bII@GXZ`h{hY*pjT{oh{>&JKLWcDnP zA_w9a7Zrcg#q7cy_j|ZxsWAKIu9fUVvFh1E7a0*{hrhy-Q3y1efe!ASPYKI)EZ@e; zKRZYrucUVTUQYwx%ud3Cp8Lz* zZRYuTa+S#}*8YT|R5D-0?`;1-H1j1A#B4PicNKy(SO_W)E!R^8N_0+7C6#Uu>NqJ8 z?t6keiLyOLe^WIgiu?oo3G+WkSh51rcis@2fUSBjOp+>8PaR-=@cDkAK zW)$+p)y(+usSVb_sn|<>)mIl+8H44_XajsO5a&eP$vRR@D26vtSeWZZ3B$z3$=r3d z&CW39d#N#DSaYK6R8rHY&_7ZB4XM&~%!{e!Y@L#3=mIIlH9Bx|7+I&;l4)g^eftKF zhht}Tqjq3SHssZ$+?=)W<)Xe>q;jAp!EPy)_}sAJ&zS#9|}lU0MZ&AK4=4`xUv zsB|eA7ljYR^&M4|2wDe7J?lI^ew-OV4k(a5xg015_o`xX3hZTd*;N$bh#e~GsM`yP zM8pGFGjIx+j70am8D@6n<{wQaPrhjW1*?6cGS;vE0ark%zZQGXz!Jc!74s?WbU-@# z)tpJ1{~;MtQGNF^U6BkwMwY?E8jHwsO6{Sk^ONJ-mtSSF2xgx`IY2@O&D4lOF&6&u zqZ`%^F(?U)VxKjFXz&8n`K59Kasp?4*{AKXm%tc^B0fP>-P-QbWRY3&-FMa{GP%}z zHwFn^&5`Mi?P(+B&5#=xn7jZyueM)!%l)|nbc5f%HW-c7afPtX^>C8??QLd?q_BKv-!QafzR z-}8VfH?c$V#fTbR*O;%%h8kTWGgbN>0WF9RC!?NWWPS>(BiU=YavHMC4JjLc#H?iG&P1 z{`T(Ij%iB8&`nO$+#olYu$v7r1o}+LOJoYetNw*QGH`yJ-?v_einx?GPT2{3TPu>Y z>l_3wUzk54LpONO25CbP`=ITTdPtgYRbz^NptN}WNj}?F$W`TwD?j%bNuq|Pk~8K0 zU{wuVL4+Iv27DyNX=N7;xc`Ca02oE}{pxk{y@en$$EjdFg#jIo@Jj>o%?Re#&4ykh zaYMq-kQ)1(4zx}2Tfu;oPPiCF?(DJH(dSAY!NO*k9a{FjJeRCo)CV(XUu^y*=|6Ns}8wyO@dE_Whp8YjCWPD z&7jlx`zCOriQ6hvQ<3HUnoQm*J1C7Z(eexG+hFtSn+U+j)9U1hVuI&WX2_l%EJoI|6g9Kq$-)B8*9WL4r=^Y2a#}DsM~h0WY7~lTWsFR0NYq}&G=dFnn0L@K#ANOL zi8T)e^QJ)i)qb)c%=%cS{QZUPp|v^X&!iQ~dQHQ96*h#I$=QyZFv)F0DrERiVP_*~ zoA;T)J^q{~jG1NQsME*N&(A>TL6Cp?Ed!h)l5i;I)G8SsHy#lX(Z=yD;1~;eOn$|F z+pWA|@uv+=5`*q~5P(`><>6OM3Q>|~r>5*WP2i$sBvOF4HDmDS2^2z9x2-f}#DFKz zdJ`$s^K@N-@WoMozO!3fch}|wJ{7zeBksNA;7r5GDi0dGLXnoW-LFKi%#p!+ z2fi<8SL`xW6(&Joz!2lrC_*Bkx(c-<0X1Af%mczWgU@MlJpwmLl!b)ZVUMU;5q3Bc zC)09kWqcz)CSw``e`-RdNUh(X)TFVZ+h+6EH)=HFawY9b|K6lsC0(j<(k1hhtOI%& z{#eG>%7zJ=MWftw0{&pbxLqaQDB`*uj8hh|tfu81bl?tZDy-v-L=9K5=<|x*kU_2$ zI>_ZJir&}R3gi)u3*5(X<7GIISZf_7b5uae@4`!Jm=om(dga8v#(G8(*LfMgTp_mHY?>$4 zK8&g2T1p4#`CNTJ=)l7ILf_SpPPGR+6bc<^PBr1)p87>pQH1ztR>{8 z&-wFyx@+N83c|s4Lztc#?K`_#kc(VN3Qcy<09rLJuCfb0Ep<&>6mH!U7$jSK`6MOu zels;k{ID9^rw1pvVLXf=5jtH?yY}=x{(@2Jn%y6tM6nWHOF0&my1>?hN^B+L6KXmt z+U?YtEv1O|-H#hnAiPMw%EUOMFo8Q0udj5*v~Qp^=lsNNa-AbW-j73qooceK!dNSV zQCoxoV-i7$vdej=t!jy@u(2$2hu$3P0Qnw!|B-XQ$0F$uhPZ@JcnVNeUB8{BbbM9% zU2kQ~$%RKbD8Ead__MeBotX_a>F{&tNT`ENMSE>f5Dfm9U@4_9uvcduhVdzycl+FM z;sHX=cIDIr3~{b@!u7liQ%>*2K+k13&f>fkdM6o)&RaYr2XdZ#F!F*81EYplg|!u7 z*@~D&4Tt1xKN}p&Y&rY-9nr__QH-lw;+t)&|ET2vZ>a4#G4P~8ulx>!<@Ailj39B& zkc1$XfL%{CZa^{ynE z(;%{zqEVHsZjB||Q8hvzpK-V(F*rE`Ss|E zkRLCzXgr6OBbyWInh95L;Mh$9N}VSeH#lZtS_y;E~uihCOm__bf<$vZ9pd+ zBU(+|US~md3_)CEZk#QnmJ^3*16=eq5L>a$29^zFp%nPFRU#jfzoa)VvdVLY2d%gh z1!i~|r{-StsY`7&!F|71{5JU+TMD_LH!_l@X}ofS+R_=n0u#r+X3=mkpfWeK;MHPr zx4I}0Vw}!{WFiT2b@*;4J(~{JqN5pyFLk;^kt#1a+20TGO z@B*p5z>Z-zZgLtM`TOl3G)1bFUQ~AG-xlA=dRObKsh-)G*He$(QPF=$awlCRT1{3Y#48Ps@HUX)OPqdGkQt1^H5xd9x;fD8-=@mN_u&z$>7JNV zg{q$&?>Ido7BXTcexnf(CE~Fw6rz_)O8%Z`f-GcEEbiWfk`q>(DPh4*rX;Nz9;*u( z_`%(Y>{%LCFg1wVJ#>v*u2gs%BDHY>l#u;5 zRAJTJp(rJ=o#6F!+T?So^pZ5+m3H{k^R9b0gtE4-O>iyD$6CU{&hfzjs;53V11QAu?Ah?p8&-jMx5?-vvh;)TO8s0;sGhsmAJqoDSuy}i$aMR5X-CR>N)!8o z9f97!mrT?>&+>bj;nHN04nRRqzZP$Zm0?$=iCF~l#lY8h%O zj7Y5qt=E#1F`mnP#^TTV5C*djUH!X-aiCBwSO5#6=*2lSnad^vRSQ8i%dPd>xXC6q zE7iMgAkGY_ox(y%?bFxKfW`GVTg{kLRYi%}jaD$b-MV#HDyN|ED!)8Ik{rkDinmgj z`5uA$O`Gk&U+6=LSs+tH@oaCV9oCc%;*4)uKb#P37I6pKV-$F`sSL)&ziBSJwUio< zDhr6>E4)bs$Tm_Rez{A@3f5!eax7E{o=ZCE60)CH;+wL42#LYL2z{Et3lsa*72}(^ zuq-JeLKqMS;n*njoyy`^75!n>>k2toLKM^>k7Ri~(2y54KD;aqJz{`%)QTG3BTtVg z_?)+Qk1s*o8080shaaOko2M-F4o?u*Me>&+LEhd>Ip@qU-)p_F7X;Y z><(mytHd{Uqi@42<~J2KX{>XIe~MJfP=0xL9=p6GqIevxy|D|DV~a69w91nOhztm% z$av25(5^r=6{Zc4iyqIF91on=J6b?txox{vYcCcjmP)*lW^DV*P0l1L^0#RH9B@kj z`pG6t2j*f>8RO*EJ#Sv6dQtA}P!8Rvp{-(|HwYB>>{%)_Ia*Je6j_Cp#%jnnLyLYX zi&`Xqo*6z7nA$|_St5d?*SLONk~~96VL?TAl^`&9ZG%Q~z;#BjB_?(}D^$_RHmdiB|5xb$gys zeBh@Lk(4lngf_gv5h(-^7}Z)eqoA+hKG%U}F1_-ZwuB`)D|TPrS^KWT=xkcVxwzL| z2)dZIy%G|{#z4LakB)C)ZHuGi%2o9=seOzBMcqLfmnmS&#`dv+yBP2+IhDF7~NzDyOY8Hw~ zM5HMDJBv4dZbpkVeDngBtUorkI;}b1(t^f%2dyTY{bJ13iqD!GjWeaJ!JqI_( zr<4+vS@$?{K2d_32?Q)PUqRA7VV_ETV~EZSH$6CE(l2!feq3E-PGR3df_Fx+Yz9w5 zko$Hnc)$moxX(A4_hL+I_*wdqOE^1^n+N*UrP)Ig%*6)KoGGDJo7t@t!?=0~=F!V7 z4yM7fteJ~THO&}K@ZtVq>Pw`=%M3W|`Lt`N`zfeK`bfF$j>y?^X_{@|aDjBPKSfrt zsia%kPn}o$`CdB^wGMfYKt^k-el_=Mq+X~U#5FY4mitQMrWE$-)Ltj+=eb=al3p;n zbnWvC>_>*&Z3`#ktg#<~KNWxv*+{hGORnxP2#a3^-s-f)=Z^=xoG$26Aohv46ME=is1z!DW_!TW{@R{0MR!S@q{2e|&c zt@Y*{@xMN@+qksN+{?D!vTMuT_NPk7B<6XYO5h$)U4|vBSsx+GbUqzlW`>7kN5nLi zc|-o)G4T^j>tZKzXgd(yUHRjmOTe$VZ0~qI2KvwH_I%pj^N@H2HhC}BE&Os+XHiJ!fj}FZt%v=-VXI0`!QbIL|SM{K`a@pDaTm0Ilr|>AEnQ zHpa|YM|FH)%FUipw&fj}IEU51Qx6&Ydb(k4-!j1<2a%x?%W=ZeLk*p07|pcH&rR~* zHE){l1zKY-oTnF%k?s_7P#8Y{KLOr7A;N&uF1nyJ%@m#B?jxN3@4k?LKr6?$C#92$ zlQrWOijm5|S9itv{OJgw2D&h|>l_k)n3;oP>4ENg;@aeFp(yltSN`E|I2jeW=#si8 zCbb!~eRr;ya}N!r%9mGN7u$R60bBAku^m%f9qy*6Vvm=bPxg5?>_c^+@a4htxU@yT zPc-xS&8ps03j^uc8J@F}>q7yHH1yhF-R)MUNiEqobt}7#a~$@MZ(_i?=#K};YhX9T zB(y2U_K7wRbp&Wd)&}-NpFg(z_td=4HaLZRB>=(O0Z~r45$Mc6!wLNiyS+_zvsR|& zQx?&=A@@P)Ej!821m=u!a@z-}Ag8g6G}47cQD5IGXmB|~(!Yk2F-(YBGzcrw8QABs z!>~pLN8k}x#hh~eC-uv^!Xrks=+(dF;wVM_INUC1ljM#ud`@V{j>Kn3&X<}ASd1=j zXh7Bv9NPr_kD>rFsg&-abDy_ibt)_vfxt z6~Vg#(Ly0AN}z+9HM5YR)Do>vmjYw^9n>beSwG8q9)=fV|Fm2bIG#2O{?HSor0e_v z=-s1MAA%$|?7D^)&;GR@bO2#nrV#r*r`-Ehki}Kz;7Z;NpN+zkRk}={Do&MsURUOY z(B%)115#7$>sSQRay9hE*rVrwl^MaPw3aNN5?62BOl>)ku>LOY<=oFcXUqOFg*>!n zyNhOYjTl0``XjfjPQ_($jGJCPBPs0khgYH2FbdgmQ7{dwMP=kfg&4d?WbRGQGrIk4 z>aN%;C_kudH_uLs{4Ke`Aq}%leVA<-I;8a+FmQW+m0?L;7XAryP|X;Mb8Y>nb7?>g zPi}a~z`m<@!?5SJ?7Aj}Xd90Sj$KikWo^P!&FTG&O&`htx)@l6D!<34UeQ0`Y$f#m zTJyJmAb+6>i=|jtiP44g+=Vt^;^-^nAR7HY*HGwWIoh@2I9fGlA25Dn=z0TOUB;Ks zuOTqzLbBpe!=@24L#y+iI{0^^dS8uu3fjS18TDzpLfAAl#c?DKpGI{c`6A}j$97ax z(3A&vR3CUfF2K~hWeNvw`f2CU#`yyp!FVq*KErb2X_^q3?tKDv;XugjGV|TX< zRtB7Y^GCeC1bMA*CN|+SB%Q>|1$+e)YS!9qJ~ic0f!~8R_r=ocvhl09?ly+JUXAqD zxk>uKFluWjN4D*W3SHH<&Rm20vNr@o&oPJ+=1bd7P!f&)N%vYGC_5$t#4kl>uwEEF z+YbnbC?fSqA9F9m&2YREEEYJl^F6`Op%kzn7-894-8uRyxq@B&*O+0~&p3i`w=tI_s^Y#~ zWZLUchKm{ne7x;5XvGr#E#E8)S)CT5aQB|-LRXv4#1~0sRn_a$Khf&>xQf=P%y%7H zQ0{X8VkkGSt%H!=Y3jz|gKo{yR7!QO6SX!aUSoXsvALD)@I|{oL2UJxTlaeQ_~X&# zfl07@7reAj_z*IL9insicFP~S-C1B^)51Yw_}Bu)02*4@Tvwx@L|YBHmj-Gj_^YA2 zn04X7e-?`C(TVT-D0)_hAl)eIYm!*~7KFHu8fv?X)#DEJFHSye7h{D5U<7KCco}>< zvl?4_;9c2 zP*D)V1V4D#ep`^7tk6rE?JG!iJm;ta#5Q(Yn;++UFwvcWU7x~5Ww%*n-4i3jYx6j;j}ePRarXRls zWdHaw&i7uXaV5tpPR^67*H>Lz|9cP}RZSiS;iLY+L6fWn=I@@4V~`0q;);H&VE;b$ z+(BLik*-V}N`-bjU|tsvIZPQOE?VPn;LR@YBh zEo~t9&O=4svL4PLG67ev{x`Y|@;%r?CMdfl3uYgUd`}Vm6VoWpejIPyXxq>#Jfq6u#B#K`$6M&iL_T3-p=yC=B3T<)4*W0S(0gdraqfKzG0=M4d3#S zUeBQh55)nrb&nhj3~~jbgMKdRYnK;AB$@jldxDbT^r=K1=d}LM(N2JOdjkvPzu~IV z!67BuNY*@8$5?y_sgWE<^LoF{J%0_YbQv%ZMhS@rq1$WBi5*0XGG_o zkSFO;L*>cxK0y}i0@mjfTkg7bWN1m$UWp6fTPh4zjcRnp6b5EiiafMUb(WlFP7d=% z=v$7$2!{6B#e$QlDtZg}csJCem{Rph=ko~%YwnVee}LfvprH6yFGdLL z8(hMtn4ZB&=d?SYSC5$RPb0aZl&I~A#;^>~VmfftVazSn%Mw|#P;V{!XD*nLUDo3dgd2)TFZqN_}-R(KfyzMYTe!mTlO zK(RXvS5qd3f+|!fF$V|#&;y?r8;kCzJL>ey*!j(JOmgB)z*AM6)i-?@D`qH&toIg zYA%w@`cOzZvwkj?zNc{t@)qI%pZ-_&6Avcrq;RRawRL1X~lx|joPC~@iK zWw_qe4&aLBzzYbw0BcL>+$PbiON&nO`f%4`vir&|VhfLed=ZDMYg?~8xm!LrcgPT( zV^?U(rWmJXYKZYPYuC;=vx74IR@5<|cAx3jQCkZx$AI zaoMOw5pV_pE0~vc@g0f;TYO^1DVQ(qK=UhhfvWR$Lyu!62+CPt|63t(K;=`|zm+g` zN3bV2--$7e%xG$%Pos?uYn;{Q!3E|eyUtetAQ0bV13kj$20jcilBF4g#Cnf+5Yqix zrwL7WXw`j{(f;FroCoFGrFgHK)`fy@j#9p$V`xz6DdF$qYqUh?RVx7W4b(WDtMCHI zo3faPBqtA?@2M~-Cslk+f;;;KBlk9%l@!?N_zdt`kUl365}&k@UU`<(V^=OqVU~_F zXF6~&R%$nonpJpZIz@k;5Z5Qu^A`AWlHJZI@4uz_%kX%P+R1#f=GXU_@ z;t;VOFkq(Hx$B8Od+*xqG8lrE1A&%Q+gqa1km>jecL1d_& zCUF}D0fA0QwQ>qMaYv|$qrkCM_d@ri?X`b8ACunDS2?1c+SM6wgsCjMIQ#Blp|&5u z1IU);wCAr3LGa9XJf|d|+I>Dxn3(5SG_vag(+7SgvIUdz&ZU2qYz^;eJ(wK`Ycq*R zLizv$vufpsS~$8Qg&B#wJh&U6Kvdb``i5-ehoO@Xek_~MuKuhqDI~wisroz093E{? z_R_$2$j@|qWT?EA&jGr3y-HH`j6F|WPKyz~aCOGG4MNK@6`pGwF?x*#Rx+HwQy!PG z+?uIkRp2Q)Q{N?i#kMWYNc@-2UQ3cP=9))U3^ys{)5O5~|G1crEMv)3tdxWp8BWCw zgyMcS20>s&g+hAZ1snf+aSaD>7ufRupKntm&6J=(5uPJxLG}T4U(4pBdIX>qj;7d` z$(p0^Uq-A5{&G?ajPehWxUKM)7~gDb(#P3qE7zo7w9B3C z%_CbHpp}-hZ;Xrf$lI)96TMTyA1Ug|2Q1g?wT4-Pkde5@n7^^QP6Y~Y&}C$Ok!<$w z{X`JB27G6(2LmNqj;cZ|9(TZ#OOAck*V=MaUn5eq3W%)H3h??86C|X!szPMQCpIFP}kFzD)G?jX~RUV?A=&zOdyR-JWnxJ2H^KqSR*^p za1$=4btN0Vk87mLaj2xFI)I_LDXjx;teNQIHv#?M7?&y%1wbm71b|Cp&deo!GHl#sMB`#HC0t@6yXF2!w1xE-HO}# z&?puf0V(7HRZ;c%VFeOJz*B~@iXV8X-Mf9j8d>6Rca8Pt=Y_1MCC$1F#IXX@=2iy- z)*Bl)hGlQoXPdYP^`LPolLCB$I~Cz~y0U2UJ4Lzp5zaT zVvMw^g)B@0wh8B4s1r8!Ux((KnNY;7{%OgXKOHTntK}8aGz3p7=;WeXoIv#Ed^p(* zQE^^LZ*WkdYL@IDh+IQ*8ZiMskM_TALaIJ`b!rX7W$W+!xqIA9wa)kG3sT2`CQ|4r zWG3MdbVWl33*BxcjhJC-*wjB5QO`*L)4-jL?=xc^c!I(Kd^wzbhL{2D#?}6>R2p{}|ABQhs;ExG(cieOQ0T3>$oz{S zOCF4YLFbMgXzA7qyn4CJ3LF8{G>BODT++0w-UL|(B)E+DFTf#0YQ?BS3?(3xGkI888(NocG!WY^ zpqAX(CVdByvJ{PQ84EhJ&=u|{gMb7Lg^iRSO;Sl<%CBlLD|$lx=xm=1mNW07prhH$ zPVj^Mp}sm+dN#Wuql4@oqDyj7xOyPcT<$Ts3-u_bPY==UiyJzv`AXSdU922m`{PiA zhlyNVKrAZ>59W^u5d&72HK6To-8hJ!T)Zdo#F{U-1k;za|p`}IEx?R zCV)-?d7SZoO;|N^$aY|!Uk&@jn80_`e|W@fSf}WEI~jDn^?!W69Ra?$y>bpaVCB>Pq)x zX}R&^y4Bf9!$wW}k^4tscV%K)v&o53l|sd<&K6~`MULDvY-^SDl;2wpwcf*c0;@EN zF1&UVQb;+3?OFqZmVC-%ODQ9d5IS9xyv%&fq_HfsJ8E-E$-+1@Q|KNVYyr=vy4TT< zY~MotXLPmub_tZ@E?t7{CGt|fXVHwX;xzbEe7OP5!?cphEas<}>cqSz9&4yllduF8 zRy8-;qRPm_FRJ1tS#=0i>twOw81#L3+c+jGTU6aFf-h)Tu@GSwSd?lgn>`*EuJr1I z`1d2udV>fVBjR8VdaCY9Oo|#RcgI=@EyP>;VDb9 z4^qzRou8L-x!R(m?;2P-5>3c)7O>~+(SmU&Ci5fz3qUzK5EdE2Zy#1`|GtLCUIr(~ z1~-6D(>Db~hd2{XFF!AjRrI4u5ki?2F!q@b1bx%T$_IIW-a%HjWqZF1-hr^;Qo&h; zm54IJY5d(SFCw&N z9Xs;s0G&@GtddMDhxIZ!LTc;dPM#Ls>O*|0PP~+a?`nSi7ptXN#daRBri(jKRd|1w zFrsHDzKdz0Jh!5z4;ZW)LMmE*u%$zx)*ETCnoap2MUkwf~KGDeQpFkJkM7we&dB2eAjfj zo1?C7)YG`wW+>;N^6| z!BrE!!#cAW-RrJpP)5aSy0*)u4Fd0sN|aCSgjWO4V`M8$fCh(g3Z?;af()-Y2~^Xi zd~GsH51^AIEA5KgC%4Kd!)MvZ2k=92xH^nrJ}^BVfasGClj}-8hM=W7<3a=|>^73? zTC??k|FGJoHeL?tiw?dOsWV(H_ts@=M~#jX!p1;Z!2XqyZr<-3 zCJxs&A!3Y^l)?0Wky41`&^Q<=iu3Z)4vQu+$aAfy>x8T$`9;bIT~nVexXS+N@kMuS!d91 z6{xs;h*O=5n4Oa1-i`f^U$tV9q<>br(tw}D;^~76M!g%q z>2>?VBUh}oOg?C(;yVXWzd&MVD_(<_Qsk5vr=#juz3}YbbYO?i*N>$=$_6Sgund{m z+%W@(NhOubVJ1ezSNt0&3u3LvgqVgC7!7%}*uXf&am%G@V-RP=O7eO3_3m+vN=YDZ zCX!yQoNa{^qcY;yy+BuW#mOyb(Lq5vS3YPI`1XsW6wX?n#vdlQxex4Mkz4 z3{Y`wasgCFjo$|vVDs&WF~_mN*>fY5 zZA=LB@9!M}+CV!W8-mu|?9vO2TFPxa-3S*4)Dxw{k!Yf-aQp zj#!@y?%X;hvR9g)>X2QNgQ@%Wq7vPit0QU%#(5e0Iz#6VONbPL?;j1 z5(}v9^4s!HZg6m5AvH(#!5xTsz(Xp4_sl3#e(a;I@{{o~EPr)bFYG&1#^kq~`ieLL z-ENASP?c`;s_XcWnV|R^L&Yy#Ssgmd>>IZo8mgY7WoG+;X%k4yA22TSZrhepDe#(L ztGKOmcag}VUr{AWA}|bvp4EqW5<5x`nXyz2T<=LIFhr7ulT!i`H)U+)!;4@Pk6jY;sih$P2qRH(A+)@iU=F{7~#6qRPT?D@AFmi-<9(SfmI^h5#a=qxq;&xkKl z@zqO?f&1C&O?c-r!%+_{?l;r#FZgD7>c5r{k456Cvn(fN)NXee`1;U}M~|8r_qu&J z3yLG}Hj)Vw^~P)&x(zB;E`Ad3mDUu9Jww6K6~Jh4?^5$`i5OuV?Pv$cu#E5|6xh8O zL7p1nzU8~!UM>=IeW$K@`tl6oXia-_7YNApt-$vuomHxQP?~&CE52~li+m-&*4cc zActup)od@HXv(AXC%}OjwFCtKb-t;q5qUBDlq0S8t~&xF+r-Z^@RJyfvVIfMw`lR6 zwZhU=9dvXC_KjXPY<%0O*_H$}y{sFF5_Jcb;@_3gi4J##SE&@i38@hq5J`U?wQW(S=yr-D~w@LG{ANg+k zfhbD2!WmfE;+z6N8FFWhmcvKhyT8>5fRnF2p((%9?n6mh%0f*1>uhRy^2gKlJN@qT^jI!``vU(P(qi)I2uHLvnw1XCzhdpbc3PP~h&tI6okR15+<{G>o=* z0or7<(vl?R023=$Bu7w$IN3RZ+F=kao=OZ15gPX>YwPFuh-tn8+2>t&jsP>3m6p-1 zuFB;tm+VXu^nX>49No|a9hi8*Ef#@r=Dyu|^(029O$Ry%6{qcU6SbA1Gbo@{i_{sq zn9}U?)<-f@c*oA$-J)GqwR~ zGorn~yf$W1ZrG7F*~meF#5^TlCn2qGc^qkMC$L9zkzypQEawNZMts+dG0I7qj9B?J zIblp0pn5|j)&IOIfTiC*Ie&MKOA)h7b=75EWdK?fjQcT^l1ev?@|y$%|BCx{pT<8al6Z4iln_vf zSxwbvF0S4pX;ohE)x&j6_eB@WQR9r1^z-+4dQ@m=>=kaq02qreRYl!pydgG8F;qs8 zoSRa4TS}oa?_nh2Gi@U_Q4wtup0EOV{WiWCOowbz#ccEr*i5!!(KO$s38ktO?DXr!=-AM=x~~1>`x?B) zhWsU1Sk4InxcV8zRp~bF_DrCuYnkk9>ta3ed!PS}9a%Ili6cFqb5-W3XD5>o#a0>c~Z6|8B} z(z-?v44a@A=e%qrkmvI*l*AFjA`~W`dU1GFO}HmxzouK3pw@rTYz*-KdAmL>ZC7Mh zTLx>#jKmj5z$X1p^e4*0ms*GZn|25|H?+*?n^ zNPt|%q4Eum2^eiMN47_&?UV5s5Z+78pw?qKBHbrBu@t9M4_(pA+~ypn13WyT#mBrd zPVlt}*DZ`~U>BHqT{2}ie#pAr6`k{^?{mZ{Jx*nP;xz*pO2q^C))%ndR+G%khz9#C zsnc$2rBV z4HCg8_%x0W^;RuuCwNVjfz`Fn*c=mzJpr^WADBvnidY zmEnfO@HT`*szr&Y)ox!M%W=-V)Gr?+!jpnW0Xy!+>#aTb14vp^vL>^OqKgiIO=LQ0 z{Nt`tU{qV#hfGvNNCckBRB$$#w9d1JzqP1?o$|NDGpkBX6} zU9`$tQor#8RRr>7C_b|l6}!dajk|g$lKYE^%GQHp)j$Cwk6cj9#kYu?rj(5q^D!&I z=|4ner_-hFfK2(PV>Y<}sQ<%~u{}6_3tM9(#`)`=@S{;`hj|1Kd%5tl=I+;nMkhd_ui({U$n~0x~tpT5O76V+Zq|+yyKGdCs zZOZNNc)+UfhZlk#>-o)@l-&j>OC=Er#Ll6E`ER6V*(3Y%A+pZ6S6$k;uaj7@YrU)i zR#-YJMq)cM?Xz7>jB#PWR)!IH0SoXb6R+s)3?l>0z7DR*ur5aq93N3K10n2DTnOyp zr(u7H1pi{XMbW@>;Biz-Nib~gDfU-9z0Yd;j<>wPf`mX&ynep+4|ec9zI9P%9ICb} zU79ZU^qzc) zzSsVKR8Krz_9frrGf=s-Wd~N2LfP(dB;wOM-aa{9sw>Lw5aPy5rhb^|sC* zVxW(a|EO8qj7E-N$ybj|fiTqPF9yT!0?>_hRr?xY@V6Fi#>(87}Vb+lt?ZKq?mC z!CJdpW7I74ed7%2R>4oR;-r&j=nCcwDZ&TOGSY*$T%mt9a(HY%Wm^9LPQ;*)WdhtJ@daiDb} zwB^U;WU@jnhM+4^W7khYT9rE~FB6|xKVdoX(yvOQ%8xMo~dZO3+84obxM(Ajh$bihe`eu6|~`4qczZxFZ1hm#SSZzy1_$e0}X zUY&Aj*+08L<(79hwbs(_T;X}z#}?A6jGa@AE=&-n$F^2zOqrJs81g#bFqNo=>4NFCDRnm8qYNfhas*45DwQWOW_QN4{h zgL19W#Pv=HSJ}v7_k2D=R+w?rSITsS-LQ`g7U1w%-f88vzqjd=74&S-1T zyhMY{WnR_W5HJOfUWhrWr!~v5EQ^cafw5z(MR<|19l=(<;6nS^3Gi^%hM#+*WICf- zOf&GvCstICyf#AB_C0y=fb6Nuh&r~b^;Z6RT5Ea$kiLr0q%RA*BmOLli7ITuT{+}X zT`Q^Prr;U5M_x+gDyli?((BSbG-M2nDk7%I9<~B8RYn`U*09V`b^La7DD6_|{&Bi* z;hyW>X{MhJFb1C$YP=s|-!u6L^qA2{@C=;={jqzR&9d6vssgz2QQRs1xF0ZlH1`%A z!ERE_Jrd5d{_Zgaq0j_PHXdvuX-F}-`%Y+0AIDLKu?qm?vpU_wEU0ru%;oI)U^0O5 zO|51mT?Y6vPlb(Xaqi7k23_Yu@y;aNJkWc;g_AuCk}-^}eTaLn2e*voa&zgy(64`C zjfe2Q@Zd-unxf&YUi9wlB?BpBcS7*TeKBE6J=cWIHjTusJ7Jt*h) zPDR<1TPn<1gaq0Sxd54d5-NL}$)v%xQ2+O@ zjj&DT){?Tt6g}JK{r+-?@uT3hbkVNIVOkF{G$L-p%44<3UYA^8TN}2d_y*@)4jL~h zC|Yn(MU>KT(4`vbSa?8|t~wE2r<(DF5g~4n3r$J?_?pC6K$Es5=A@ZZ8D4c}``|?Y zvW7-di&U9<5%Xc(Ai$#l?2v|_k(}appuW$YKbn`ntt}RS#!^K&UyLjzAS0&1zgRKc zb90nw_p~#EJ&Y96FMH>sKx)l?8u@RA&2xUIB5nHONz_+;YK;#( zI@eO0xt0l+jo~VCP$05LqF>^O4+Hmd2eH}Hg{2>gGWGNK2p~w&#KeOnTZCd%9G7zf+I!!IXgRkN3 z(dqUv(S2L;sS&b+I}Bvn)22C7`p*H15k7x_7fiqQRj}o`D`8k4#h$k8C7tvZn~9vq zRN(%=gi7R;7bqLnxlRc<45`E3ArCozxVJ&E?<>2vH9m7uyR}IDv1f?(1@_h!V?2G(%ruiLtr& zns5Y|R*D-Dgd7sda1eekMo*Am%_^%RaxH8>!S!XJUIVTqq=tJrmGuDOOrkM*A+@vK zi>cZJY*1DTdjuZI4&GQ;nFhh-{Tw*y7}QjC6K#_%o35@2!Z;!-N3s6lg|P~U%>}R5 z2^7NjNoPVTy?&f82NHl-ED(47iOz#rLhjrW4m7(uj%n=CGK{eiq$W)nY0J!2f0TS0 zzLzr8PVxn%sw+f5J0`rdTEkCVW(;-x*!UwU(&*;+iWYmExVBlihP})gp*)fw*9K(1 z_Zb2^@Tq57a0{VflSYx}RIsHUCSzV_5XI9q&t1XXv%EC*%__s)bJPU0Z)Hb)?iM~S?P=bz$%EjPAa%-CwFI{pD!IOCl_OiGYPs6I` z0g$fJ>cNIGvkjRcze5!nGIj<93MW(6SD$ue((+FQvtO=rx6Ex!Om5IU<^p$Fk82qN z-lr*|^?xRD5)So5n+PcCBB+`lBfu)N|ILlz*{IQzIgl;4ppujAi|q8Mk&t?1F#TH= zUx-%go;)ZQ@}{;S*c-AeO?4;wI*zF!X}+T&L%hrc%YPe$5Cr)Qh%(MHjZ$HpMcN(v z>&<`gQ`PK~mC}K-IoVgWFP9)*M7F;?i%Y;4g}&$;XXxa|A+A(&4?CBFXa>DNC5~n! z9d1;n--SgW@Q;d{kjxMgF--Q+73r-Pv(Ke~aRFGa;diqcITMzl!G#Mh|Qz?fbEpH^*{Z$Lf3=Q;7;9QmfPQfwGBjp&wy_a{deHklXo5jLtJL* zOWI60?SuXRx93IHcT5L*lD)_E$HQJvr|c3wJY^wor`E$Z z)f{G1xb&gEMmX)z$q1TpvEI(HSOyQ!TqePXG{po?kka!8^M zVLFe6bVj$a0ZVY^C?}YIxDb_pGI>&-Q0*5NgjZDvN^*FCa||H5Swa$85YgbaT?oYz zVbeag!V|e$Iki5(NQB}eKxI>FatD_}jT&H{<3@6QcgnU$D6F@gY?C z)O%mD&D?wNxn?M0D($FN^)hU%8Cm^0{T+`^j}E;1B6k;qCM75rdzh^@_tUUIdx7ZR zeO%oB>UZ#89X1ooMdV}0iJ*J6uq()th^*HRH{FBQJsu-&Crc!cbnQ&d;fC^``;lP0 z4t4x3Z&fM_zLN{q44TunkMAk?+Q?wX3k;};)nZo@>hNb%kA^{;_`A{$(X zMAuVk8=(y_tgwY6SGrBqdA#W5z!Db0`MX!(a7KAw)sWW#kPV+~Da3HM^bkY=r!+98FYm@0xmMBspDaDB&c|xzf$IYJxx+1x3Beim=#Cob`Jh}A7!m5Y_eddLJ$6k-{&2pS9i2hP4Ws4UF!RxSWFVOg4NIK{R+FFbBV zAs|sV76bn8iRelaB+sB+{}8S>Z?}xkdormY6I(K<2Nl;4PgeVc(?oTJL~W}fmopo@ zON)$Eb5Qo4%bhKbVekcINrm>_1sWPOopQ%V2^`&hU-#O~#oz;S3L_z~W>nmobtLcR zR8?%a)r+dKdPRUliEME)*uxewj`Z(Gb-t(p&@EMp8D3 z8uPD#f?x_+Ft^@LL3sXywP=k*U724EvgDA!;JVBWc7zEUsgDvDyfl3aFfN*#pO@rt zjr1{{!*^Pr$IS++R7La1uW-esvR5H57MBH zhOB2C33kO&qjRmRrjSa2Skh^7);}C3n67 zuVo0~MmaO#Etgy-V;bmBQ0+udZt7Lo(_&DbqV@T@5B|+?^Jn2xbrq?F>fP8_QDLkc zK}c`5zq!bA`p^djJYFmIrZ{u4aQ|}N#z#<1v18loC!FZQmeRWLVb`=1fY(wwEu@M4 zyto*p6C=T!QD z6zGdR^;A?ms7|}+M3jy*a?n89Sm15>HC!RY{lcb&QR0b$`$R6*MU|+tow=V06fq1l$roR`y%M<7W3wQ+XS6GO}FY~Ed7Ehob33` z--w!@XzcLgg|p;WHfV4vnIgKmV2iI~ppmUq?A6hKwg1AZAjy9|-8hadX=Tt>v2UR? zN7k2f#N^sP>-fKaA^29g%6!0Rd&j@POtRe7UF%a>@bDvU z;GXg#6kn$e5wgfjV`KhO?=mq5I}5_8WodWh>>Ag3+9!uy$8zz#72O-k6)>la zgY`^@UUD0!boM{GK>OK~c(|wuJVAt(%zA!uD*~&L9IdtD znojZ(1g8m_W)`y4@LWx!Ur-4Ht2`MtE^&o)C*`Ogiw$T2>2kfS9BlJ?@G#p1iAnsS z@iDc=v>QS0Vzv<6;Q9Wmym4%^Z}8cF;c0=k7mXGLDy92RSbi1RA&^`gCiS(3;}2Ly z9`9exsV)XsrfzR`9*VOvlMlX5vi^F9VflZ}BhWM|2?|8I!rjYvJlb3aO-nz`D$5_B zsqF~Q4gcO!dlvcU`JjCd*Q-9P`vHXvL#+cO8}~a_!Ftutio4BS91%k^LkTjg`WacI zR^hB*hbJkUI(*|@p>4@EsYWo?fD?35zAXRg8PxM%kG`KU^L1fvO>V zV*wm41Y6zA=L1SKH(s_)Kro37_r@&CL-0z5*5Zj>$BWLhAoq%>W3;YUx3Mv1;TC!~ zJx>uHcVxt(M~#Qa`Q%H9z`j&Kz*YmiZE&D0%v=-|*AY(N6|z15wpwff-{k2OF-A^Q za??pjRvTSL#b0%o$8$WerT{@36|ejSY?+x5cvUv^4IQJH*IYGgt6kU1Lp^LyXoUIw z)`!!xd1y8yWm3u8xM z29m!SLQPw^pnfMQ!S~I`^71^GxU{mb?z`g8i+fj0`=)Hb8Sm$9%!a`2Ex<~V;Ruzf zyI!l$VoNU36JBR0IbdDll4m7%mhSX3N^@3g|*GIextCC%KpBAV( z>3=88M9geVoc}vxA>v@>V1fBx8(IH5Pe1_Xe_i9X8RrJB zmU{QfkOvYHR9FED60)p>vbaO6Kg7g3fW*qgni}LLmElH1wF4!^NkSaw1_u(IDm5M$ z>pBPUyw$(jWw-Tzy6G+G-Rs@^;UmOtjweW<12cwK7a91+_uV7p9Mn@*R)qxwg?0=M z0zR?6{%mX|d2YywokNTk6+*m!2!JI@2n$)zDgc3s8?`3c2V&Qh1nMUW0wi(uM{*%S zApwDm{(_4UjRM0EabkfLPQogQ4ir(baCnC`Q=(YdMvM_W)oTJlW}*%-Qcw*2@Zu9) zfr$?d5OE2ihP8$A7%PH>;sN_WF~LQ@eoI0lK=ZO~YUd`*@9gAZ9)}%@6WNz?bpqcq zwczhVqk)Te2@?kyf`YaPDJ%%4JR~;)Ki?Qt2nO(n!EfS+g@H66NMd2ZNE);19UxJm z1o7h)mRA8Uc!UoDg4ln7I)DT3AO_~A0e3Ee&4K74gMpNx14dyftWdYmp<5t!|6!e= zwqyv#P0(3*ph4pPARCRZ09-7$^dy#tUTxCin00U!-E?&7BCg;4{S zK)-uRr00YyHX_7Kn&p7_s=vZoJ^xVdJO|N-z=QmGIx*F+&ct>hi$XA}B~wqW&;S zqHic55fb5iv-K5IdgCBWL5(7$ig8C9(08u`C^io8pu7!8qfnvbAD!kxq#(r0SaiHL zV!QozMIp3-2#C(#Hh?qMI(pQI$5RgJy27tHAe|5G5*R$iKVK|}5OPBkoE=|tV%OtL z8#kF~Tbi2#V;_6US0?0E1FuyterYK!C z^ToN&LV|psWMute{m`I%)rFQnZQq@Cxa7IN=>tiRuWF7+b|6Wewhqrz5G0zv~IpmkZXO`u< zwqQXq{N&MC%>%gnBd+_ZIPFuXKIF#S7sp1p@S{8y*Vs!rv3iRr2np%#1sK0^vPMC6 z!QWgL-jzd1s_H1(S*&)1HatW4jEld-bI1&mXe>ZIbOLJZfWp-#p^x|wIFh6{Y*qP3 zw*|*R-P=}Tq6aF@75z!@GIn1gd(Lo~0(kXI-T`T4JO-?5}5`GBTqrK0w;M&T8S4(!ZY?Qp|qRr$x z&~d>}?v z50rQiB5m&fc9?BQ-}I{BIcKXs71=R&rvPitmfTG2T<{WK<|jx_qj65FOdnJsR!*V@ z)C8u=EHC|}1x?s01Z9~+xWMPq%##yQM?llpWia=w+#7YU4%yh|y0$OW>4y z_qe>=oXHoV297q}&y#}bzpr@Qi1uD{=tS!EO|KMucpCmod4fe+bm)sPdV5$6UM?28 zgi#l_AG^Nl!C^daG%lO`)yi)%!)kBEj?-(D$NW=PAAl#T-mN|3?Z;x9O~^~%;^XC& zgz(;=i$pz@=NVVm%y|7E|`={*V@0bW_7r-`k3 zan7ap6q#%psm_C0?ssn5aTb*-_Zfqp)X)TWCc6&rzgl2H<4tptkS`-m(R7YOGbzUY#6 zZ)}%6oAe*6fwXM2Y5{fupZm&m`^MbHOzzFp?}$Ir(rb4UAqDi4c0iDxKPG$X<&FHe zJSHbHc3065yX$fIjE5YdKHT35HQae_ylEFzo#L&B1m zDgt69#jJ7oiYkYy_adQ2UD~z2IVYM<@!g8XHyaBGBM}bWHDlkghcK0E5D zzg6<@z2UC6g8Lij(x=q!KI4_qrBt?iBblFmj$fU-G(4R+c{X1Y*g>KaOc^3+e%O=u zF9CK`eGljdyU&LfjCxk%6tnFecFB{yF5vMxA{{>!0n8Q?8|m(jiW>-t8y2X#$V#+bT@iS;iO$J1R)GUrpt+ z3!mDtqL-WfMM9e;?@pUEsEGb>hbI(dp6|VM{2`F0jxy>HZM!jJw3~X%;Hz^rCRQZai$-~5`Cf6^8ln;TXPNiwPbH(TM05L`@l<#4ktql@ z1<2UHC(GY|P%4tkbw`>p0%x|6Ea(5+8z~R<()IG%O`4-dGkO;;lf^TRs*%l02sdio z=q$*NFVH#qVbsDobvO5$mTwu35=*>V3}t6eLeTGPrM{*l=cgH-YIV9!|JJs&JH*%= z>AS2{q-V49b?5O6QVU(SuTx%@abD8@lk(OyG0ybT1!z3uj#+#=BhhNZ_b(4l=s}#> z2B@7ws4QMsu`&m}ZmQ$0xqOkgFmx&Gvae>zc0yZ}ow{Jt@Z z^AaTE#EM?XMA(Ke-=W8a*!4tAolau=wmW{?kYJ+9-qGZ0MI-4=D~7;EL@Njk&pZ8s z7SiLQp20jNr&DL7m+I3AJk`gghKlzj6VqIvFvz>TPjdRXUU@~G@51r?`NoXP5W_e- zU>ukBk&WyS837u5ELHf7nO&6IR5*bI)GRS$}~gx*owVQ88aCRCSn+;^leFX9IAK7MZz%^SX;XQct_(YD6d1Ymg4& zS7ly5kLYA&RWdKGQb@bcj##P>%jqlRGMxw*%cQGpN{0-<5)AyZ|u0u(gOu5p$s$Y+O?AaK>SY&*nt(K;R4u9Db z+n{vRknm(;C8v*oDwW55)RiDe`a}^yo-;Hhj)``@$U#EsdxH^Q-8Fb{i-m1|lKA`F zS|@W*A?b=9B1(p1R3{t8q_83pfg?@qa-4Y>R2{)n(GXUk$2l@?ZJ=i z(K)Sq8~yKpl2E>v(<~jU&Co`ND<@punGL9474q7i>jrt6%A@?~ehP2C=_A*ernOnO zNAb5X?|aK`o_Jp0ly~5*J#x_G0oaxgb*R{i>R<4oFg?^n%aqeICsu!Daq9$jo7K z0)vCQW!_g(Q|x-xWxxjq@DS<&bFq5Q?@6BAfhrGepSpHzSGLXWlYn(GQWr*!FNtX!a9SBLca+Pg2PR>q*>W%* z>Du<)65_+Hv#ZBCZ?5v&9{wNa;sy&_6+I(%*}kx7kb1(&#otSXy59-wvnXw6M>7N} zl8{Ejk0HT?GU}ou6Bji)*3KRsEel&ol684^a_x|7Vv+ZteUC;JBJk%G1MHU_PdMu5 z1FSLYNiso}ESli3uN6FSBA?be00DMS4=Pm2@U?RbW&z@C}@&V~O-2n&EmsOoVej(_T>ifbG!(BE_^O_m? zA3<65R6{OjoyII97Q0e3?`~s(0LS zhwP^vuZG5zd4u_;en1Oq4dNl`wq+!zuY{z~f02Nl! z9v@rZpI$Hdch03uPC~hiiE*paGXItF5Y~>p9q2Nz$Rek@mljD0=!y4NbKazS@rod)J@es`P@WLQnHeBr@^>~QfJP;!Cbkp_5TS3 z_tQ_^ExB+$>1ljyN@0Ew!fe`Lk3tVfCG~c(0F+_W~kXhZNM_BDQzRG%uB}8*&bOSZ&C;(h+4Z& z&2R_M{f(j@eSqb{RFw_xV$LP2QV0U@RA*X_@$87Ks=3uV$i|IsAJ_2PbJFyq9O`CG zAWHQY-^v5|bMvgDaB!1~W=;stC>Emqdnb#}a zQgI>#scefW#)1zE=-ZVZ6wI?E5%;i9w9^>&Ef~@iZyfB$L+!kfde$#@x9ay9oX_C`wOMmvF6KoXPQE1~7hEa8mocO> zn6Y|q`etX~$tZgn2IF&xOdNM~h&1Mtll{czDw#Bkf$A?CwWjh*?E$B#=9YW9ogp_O zyBNG#I%PCBI!A>dYVDlgwMR4G_OvmhiiXv5&B4@N4sUx40mNpVPc+ z8te*OxKsL^RzCkR9+(c_B0-!}i_P`GsnkJTOD#~zXgEsSDTYa|y13tcy}B1J|NRbS zbS8k(<*=AaTFWWtqGl9)+!HX0`;v)A>3}H30azn{oVA=d@rTNPvhG>b52oaZc(LS( zm~%h9*RN$yVG8Q@^B@ROO~*o7=XpN|Zk?FIn;dKPdNM3|OY<=ua$BgD2XQ(i>G`PK zI)*1kekXx4ChYcy%BOj?7AoQ+!u>JCVeC=+dqFdFrtsu>Yr1fKcK11oJzE=_Zh#T{ z{r+kcvFWEiU6I#rndkHtllS?@o9i`v-)BdwuU@$rsd4rIdgDWCX zR#1wmzgvONaGW%-hk^p*l7e9Ek70Uw{FaBQs@zBujL@;`^? zqB{7MDQ1ie+NPK?ZvgVjY!<<3hNJ&Hzs;cR@y z2I9!j)UiSQ3|dzjG?GG~D-*2rV?r$ds11K&9NUP|gWiZQ`s3K_5- z*r@>Ff4+0$AX0ey6B$+t8bu5#yFE0<{b$jdHB}jJIMytB%AXy>myP44dtuFZQRhEl zcrcP#I5sWo)OHOcL4U;mvQyoG%pg%8ZHC+OhK(dLw zE1xa*oQQ2@^QETdH_vgP`rEqbK=pZ1=&Bu2e^?Vrz<%9Y?+$X-?Z%`BZJ8{-9~evEB9*rdjc- zvT958l$(Qj(!4Z-i5ehmYUqGV<$dVQ_DV>EJFDO2kQ^!f-Qna?OJrG03l!VQ{MXYa z_VZdFcm~?eQE?Ad$jb35tm>V#e(Hxxb%Iut2djUAGmkb>d@{UCEzF^?6(blO{!_Po z^?s;NHhzUO+J>sYzBkIT&l)hi|LOr2>Ow;1YeTaW9zB4@#E%i>`U$zPW zg4&PNvvcak3`cv4^enX z2to7eTKZT(P!I%Fa7fI;JoiaaJjG-7N`8lqn`%=BfEp) z@Bmh#uz3LDQyUu~ecf81ncBcJcziRtd~$L?7!(w@0FX`YN1zcneR??{7r3B1k2WDn zE*E89Uqne*R@bxssNXB7LY6WJCRbP2#h+<>B0EsG7AB4s@Cj_598mjT3pS1xh>CS= zU7$SvUri_)0ar^)UjhjUPEJk;QCvz0UP)G98=jz?Kh4}i*ymtwZs6HKzt%WJj#i-G z^}AU66Tnrc7z%*4iuEj>ZfqV9;6U_Mj4>hI@_qq^HVPrhfxTxSbZhOP5dMYNJ)@04 z&~qR_Cq57>=u=?CSHhcMFr6LX#Lmjj&eGJ;>dM&I7J{j@0RjY#%nUnsC+`9%yo~|? z1YetX{ridAg`=Z|i}M5iUF{(n6xM(;aPJrcuwIy4|2MR|5j8kD^jScG4S;@n%OACu z7rU{u3u>EFZ~`n-TKtEqetjPZVgc-iw7R^Uy7d4Id3rl}Ie_)Z$Y}mUMD3qYSS6in z!NPu;4#2-G;5^`KIlbJPZ91SrP@r=MySaBo7M*KEZwMfOp(0H#?_%h@Nw5yAa%;E2g&(9zfS{hq| zFf}u|0&xKddH|k8;-WDCw8y}AnXT+i;ErGYyS#5wu^qs%g6Dn@md?b|{xNW?Bo7|I5Y|w;VW_gi+RV(<_@nE1KxTY^z^2^d z#K8gJwEwN;bo=b)p9A1b2(sMY1$^HH9kz{mPypyqV0j@27XJNP0KL6K0?1qgF`oA0 zT7tL%Fy(<`;o3ar0`-9cW#1q&H@Sy?SR4E8Oxar6I61#1e;naqgZ@FCe>;u>rp&Jo z&)?fK1LeOQi2>vQ+t6Sk&qC(y%ceYL$3$~~r8C)DrhMF=12$OPp?m!i(AdvluK24) zl_09U0^ik;3G{>A(c%d~-ikB2QbT$ToJ=_lpDn>95^p9=TwY@NxYvt-xxbJ7`Mi@| z4S18!&sNwCo7tJh2JJKnUHnk=N~Zs~w+R@`^JN~DTQmeUvkXO5ISiQwLgghTMND0t z8;3%{-JvZ#{u3rcGtzm;rf}~-%NtT4N#*`Z<7OKf@8KHImV>sg%MbJNiZ*0;Pw=5i z@n4(`q%miL(U_q9!W--MlpZr zAPjn8bw#rE4_DP*@Z@_pSH;90Px7(tc{_&(zNgFD_SL-O{p4o$)a)NZw|IuaIDT%P zl{G!(wZS$xj-C3t&3H-X>oTWu>RfXSVlm?yCyPU2w&*W`nELM8F3JwlRSnDm!zv37 zV@DDDVUAgz36|`cFrA5E`7fU{)FhpSc}3KpBb!nre@l1HeM6iw)(*wyF?zg*PWYF` zhWfJtHr5hs{Yc#&%%v){I?K3}|6=Jw1_y(XAzB%a%j4KTqoPg^wWHW~;XVp^4#=bK*+`E*6!|yQa1A(h0mGw@S{1agNg# zyPgzh&}D(Z9ojDO+xGzRIjxbpG|x_EBoqVQwO@EC z@%D{HxToWeKH3m71cyo+jzgQKh=aOnUxh*9EnHQ3*=0A*I)4ns;r2%4HZPq%|B=*V zXfpHHyaw~QjSiB&onS3OK!$i-y~VjQq`*mivDnyZz%2*|NiZWAN~|1?`#JJLD^LYq zVjkM=f!TL^B6z{ajNO2w%H35XUe;Ao@A!wfB@nP!Y_9>Oe@u~Sc_Z@tUpH427DDYKCZS-#yN8SzRb7MNxGeI#%q{=_YCQnbKKEv$ZZApKlEDCnFlGIZoPL9LW2+#I|H}r3q52Vm zB;M+iblozLCmlWP2SE`PQC#Cbp*t}?+k%ktt?qFZQ}@+n{hh^D_aWxoXKR)67HV3~ zf+OM12_YrQ6#t>q4_`Y*V4(mGdcZmpfpbM1FOm})EL=?g0xW0KBQnF3?3Br%+YvUQ zb0^u^RJKo*#>1{C3GQEsaiqt`iiE*p-u! z1~<#P8Me|y-XpcGR)L^QIy7QY(V7`+KHF5vdpz&l*wL?kuVU|oR+8S4CH_My68TXF z6uuf!r&CV;8-p%J+H<&@3geGVOew)JX)*$Af1*ZNKeoTcw4fdyiTaQyiI)zo~D}7*Jr88(NrswMsFLwbQfDv{IHYu3^C_o8;dLg13Skr5yYP z0sYZT;tH;RVQ9>AvXC@G6^>oDnftG?D2|1+wO70kqfr;uvT5<7hx_pmuYMogQG#(Z% zNX{GT%n%5x$8F=BX{1LSA-W_b;7hNYuS?39*m6c$D-&3N#c2B>H4)qq6r)(`W)0je zoN5+Zb@DKrrhWsjeGhoN-Ms7*>9!UTmEIrVuk-yKcy;iJwVt!>v+?fKjhAlNf=p7r zL_T!YuO;)-P62h!==u7w-TBZ0VVCPu29A4~TDE0#2+E($d-X2?{Rx=+1KstbM@aE} zJ%QK`@*NtvK?Ap)%KL8VzHAqyM?&G6Zy9^!-#PIURpS1D_cEcFf0vz)(3XLaPhC1w zlG9U|)ID4Ir(Hr@xp%CZ2XQ$hM0#$Y{X|C_$6M&g6k>gzj=x85i3_-*WSZ&1hmFij zT4Ws?AXa}(i~WOjp){PG(xX_FZ^nYrnKBYRn{;=YnEHf0{BEgctt}9YH{n!N{hp`| z)-NU?Fv_#DikTUJa4~lsc|dUO(gq7w=@+f7TYZ2h^0=p1Zw%Kc>xtx66()E|eGczK zV(4VJ4lLErpd4Xf$MI$lmj${=Hix=U(N-;o-2GSI`RzC=0QLp6a6p?XwBsvjg)+cg zQ0Zfi$ZT20Sez;8g^1Y{)uzX`ADloOs;=GJYW}FBR{JrvA2qQq5q|c4Xwct%K5-jx zx;7%fpWnLl{Lt@iXE4C{+z2LQ7ig8(l*(_CMANRnL1Ju7nhUxbHA~;k^y43`V0%Ay z1+N?6K&E!0h;k{Y!=U|q4U7*l%ZS5dDLscSQA{q2=%*p5AMfytV)und^5+k|?0b~$ zqqnqdY#5!|zb6(LZqU>;P3iXD2DxVT79m2j$J6ys_66n+2VF(fZ`m?>UGVKouayd` zNRduu5J(MOkbvt6UE|l3kxaGbtg?ZuKq*Uj7H@W+o^ZtRFEQq0B!p>9d%-t7tKyS@ z>SDBPqyXLjsFH?{AR8;SvYuuy_@{A;%wVQ~OmhCq1@rTAj{>AUjO3~DrQQsR@S5u< zarP-97s$UobjES~GJ**xWOv)h?3Y66lCM#yRnitJEeE;$ku9w)3$XYK&V%{wmqdg= zZmiV7y$(~l{N-^~*m5`qTg-VM0%H{54Gh;Z9klLh2YtpdJS?`g_lb$({(y_9X+bE1U$RkQR{>*u7&)Xmbqv43yL?{ zDt%ckggVH&Q^U2Ouxsl2u!rl0QEdH9p>K*|3ADw>Kjgc;f6=3Z0#z zX|`WFzV+NsZNdzASIbfO!KtNR2t0c_2iRq~N(fgM_k>2@E1KaL@nUz(Po{kU1-VIN zZO9Z3ipDe!ZD6?7jt>40duoaKePj;`kclg;%yGZ#oT{=zIZfZ;>Xf-M!Yh4tJQ$ZH zIrVewYUrQPAu;CfoH070Q_(if%;fxW)`IUe`%p2)y~i^Iu_h>E6;NX$cbqr*@XvuhRZMrB~uUl`${NPj$jQ# za+8?e9}`Xzf7nxBrGBp@J}*#uXhhbe3c&Y{ zO*VhZ&g_>I^Mlezt^Y*ZeJG8oqx@FN8Hxay8?g2R^6lq5-^kXdFWgz_hd4=89n!j{ z`>~vXv7O@BK)hq64`-SD(euq85Q&LR09P=z(rTwwWTOPI_e{q|9tie0ZQHFCQn%uzj0*Abhvi54m~U z1=cu3A0^2!;8k!wg*7oRcCIMLz)3VMAZrqmY3rKo>Q|iC!ye@~xF&6QYURM%^{n?9 zxXwJ*5OfI}x?+_?Fb@Or({%Pb~EX|?w6fq30h>90j!rUz)fcY z@iHcObT;SwcgTu8o}byhkyimZ?|979^i^^LDvoO=H&wMtd#NcB(!JPPQ^5?77ks5e zANo+k9ou@6bYIaK))%1p1g{guWunPvk(nHycCeKoO8j!C8Mc3{6LrPz&TH1}P`XUu z&g@GM&l9BNqosI!uj-GUx@$;4{kxw(4-@0f6eXkq(XK1Azo~BWGnEdm+*DAhS;;OI z1F}E28=;7(b^WpQvi^wLmi96uFdFKgG~^_SgWnNuXxN9qh|}eSN*3kAFedS&VwQkJ zXjYPp%b3?}I50#QW6;vCMnu_A9z%x<_Oz_03ae|}VxhWUObP3g%E4ry=6~%~L-ZfF zN_kn%7kBl6xixdF2WD1Vu*|v;p|~5%*HXJRuDAQ>9jZ+dL*M8uBH_7HXnlOttdhvo>a=*La>MERX)f_ zAd@z6BAPm^YN^jKOE(@G{cT+|6K})BdgBZnBrs;dKsHIK+_nmlWeqB^ocq}vjuQ+L z=Ip?v$ZhwFPxZ1jgaJnM$qJOqlvuW!T#A?>%#dCNh$#DQkLO1n7@=<2iG&byrzFtQ zibk8Jmk;pg zcPJ-SWtjzPgDUJ_+9;Q-EeecDxCW5 z_>yDs3u-G&dq9B9SJTHrw~MM~80^?+35$?qgXHBm+}Gl>?Ss|I^x-cywkl(nIW0Hk%0%G=CftHZJcPqFx&K&!if!Ixgj>F!Ye zVB{LpRf(S!PsH{WS}c7gI`!wmCoxN_-(cpRJTjM$(I!GzU!W0`aros+NAyIOwLMLobsbl@*R<0aI0L8P%<)CB z(-jl|;-1XftSR_C-Lk7mAAUPS`@Lf_DMVtt@9`VIe$(fhQX!JHiYB6Scmitw0nL^U zQbe)nctZ|l)zwwBo5IjcQ90r?itt3E24--+w>CCd-sr@JhR4vZ<2( z8Y7e~{GDU)MwazJA1S4Ba7{Fr^-tkRcNj((<{0N2pk?^2v1M$04H{+c?XF=v#&t$=Ojoie$#$~sW=J5D!fz%1o^z~RAw7}8yaur{U$&$w6 z(16tMcj{2vqq&OM`4sPG4Dsj++iPjFGgSTq@CwAm7@zz`Wz&gVg2{-&uw$mx+baSq#|?Y<7^`wx|_ma5l5ph}8>;&1E6mStkjsU0drA;2at^71Nlvx1Ynk?!_^yzIjk^k{1kJiO~hH5K0V9HzYiShxus91__BB@17PN&nrWfmCda z!k9Zji@`GTNNZHN@R!D?&3%$RSeU&jBMrt;!#OZ0b_J6{4gtH=U*f}MPbZKW3RS80 z8^t4i*7KCXc$%_D&;61M1NTXAe3Z0Yz z6Z<#c;l`R(rG-QDjOn6=MdGqez`LU#$FS!b z)LKQDLeAFSW=Tv!o%*lWTJ*Mh_YvP0MQSUp2CU$8)=1IBg4})UQp_hxy5^DNUu21R z0qXfh7lH?>IVxuOlk=3P_Ykrxwe?2X0q?#eQfYIh-k7ydz0z@fJ*!o>nui2=sw9D) zUi8g%yYXcApBaPp#CB5!Na~~^3ta2`nfLCUpy(8{Q}hGOU0O z6k><`fp0#IbWoA$hPK$KvV`a|W{}9pMyTE1C3akSPv$`JJZ-4w<JCRKjCpsUf=NJR*GD|kA@1w(NX zt)bb#R`VRMqdQmmlj_}C5*r}(JjL+xjz6wpo&f`??J|F$f@6=z#ZGq7pF)P&Xn66y zCovx5r7N&KOI+0yEz1Hl@w8l7*$TExZ<&kQ+dmZIGC45}soccg61!8PI28zE7Dsa zV+!3L%4LJcRJA}(@?B@BF8s1h$d6f_`pv9OR10JlZRK?!FW}!ITDtKW zh2ZvPw?5DJl8r8$z3H!Q2m@QzfRl5bLyW4`5)0|n>PGfTMJ|jYjEd8#6a_~DAr?Hx zr!|keJ6YehFckgZ@hE)-2K5bPu=6N&7_l>LRa6#6A+PxWljF$q6!*xEPMhz5&uh~H z^=d_pK)`??3t>JI;r7O2nAY})ZjiM9hvvFvObA*qBH7S_a? zZaBQ2loKL$ODu}2m0n0q#gDQS&O0jC2cb^RTBDhi$G2F;VLK_yb-D(1?4Uc&SwzOJ z%C{bjBPZr`9IAqk67yRyoGe0P=;LvzIn^V?ukivFRkGI=I7~YlI=}CZMU{99RO1sN zyR48BiDVl6SvDc;Ez`!JiOCGYOyWbiKbmty2>5AGoHmu>p>(zh3*!thpG@X0lWlKY zUnCxMd_iVFbKq?R0>5J?EizH_$`)slq>75EWj?^w9xKDcg49D-|8`FhdeD6M@*wE* zi3No(`Vw~Szl2%X}LWFl+ni?(>y z@W-ZFF4F4EXu)6*rxXu0CQ_`+-dGl3K#21F&k5Nr?0d!uCJ{~{pOIJZC$;8o?!Y_N z8Q39Rrv=OuI{1T?hv`Y1##O9B5jLwC4iD%dP^muAYupO7G;oB26RY{ zcogq+k7iu+`S4??;z+od?4m8XHSwFezi#1E3#g>Aw%_q!YqMldG}OTUE~0*S0SD3; zg1D3K)^fmUP+aDf%CDfrqj>v)_=Bdb3dQH}-CeKMJ87Y;`YgVj&Ker}%g45&+QiF6 z!^BZr`@4D{0LR9hl-FTNO0gikT2wB72pFNv&?INYS$J$%6P zTb`<=X6xC{MbiHM^^)U>36X-I$D|_Ak6`IYq(NY*SbZ3#*;ol2Y!l993p1i;oj>6^ z8#52R$RsR&GB_4pGis3wlIr6{QTg{a#Rit18c1n2uN)5UM;^93UR==@eY2L12o-wT+lKD_{Q7JQFM-g)9r4YhEvsys%tL*k zf1YNzP|?~Fe(!LImW_xqsP1GUR=oZY!HDnX7B9s_;~wT4&dMC`@U~$U=xua9N)Nx{ zBP**HNpVraO6B*4vJ;`f8xq%bjQ_lcpYCVqk&Slyofl)W|LpDkHjeSC$0w3|0jzS&bf z+j=KzLCrJ>PA7M0Q&2^qQ~ZJcsH-k1xg6)7N2sWeno!YM6pp~Fa40_ud`oGtUG5>4 z=W1>5aIqrTDznq&iVZ7$?dhlHr1$>W;`qo5+SSz`*Tu|QyDkZ5 znL=&^1Rvampf!`CRtF|E0w(IW(eX$7CYw7U@QuNbV9ZSLe1kG%s}5y0uu`ihfu=pn z4r4*_kbb)5w%&KZ&m+0VBc`t(puIJOPJ?+VJbzjvIP{A^N7A!4Xo3}&v8$ILDJ_a| zJCc|_{&8L#WY{9J)ici|LMbx+coJB;mdAoway??!!YMch)z?1oh{!=N7vBn zm5o%?;6Rd>@V-w(6|ACH^M76|d%|-je&KijVF|=YszH}$Laen(b{ck`Pcqm{*qpX^ z(AG*C39}1CoOg^6zpDpSWlLTRGZoMn)|>?VlHPcx1{?hq9b4&N%>ARZX%2z^5B<(}{d%XOU))S~|4Ak@uXA^d5@MzV()X-)`hIr;#e8*owxV*zQ$`_A5LP)9P_1~oyiONT`gRmN-o?Glh?;!Ra}Z~>9miP?<%sg zPj-jxW&2EAXIFs?<=)y>*!_M#M)4mDF8c<*N*`}iDSVSlN)NvhCqF{+5~~OzpH>_> z_TJ*q<;~&=*nj_Ms$x-`B6yJ1;=Ze5gsw05>Bqe-f6}3pxD#)U!)DmmiJ(7|FtuLb zPzDnUV873SCKM3Z(A6SM;geP#dRqxhnL2Z|>qY_Oj?PS4gtQGL6kB|;0rWM^ckm^T z9$y3@cB$^&T@Km-t-s<=<9axCr2W!2zTNV1)s+$(G;F6fv6NiYE^rAcQ~BM{*f403 z^S1f{Mf7MlMnHcbeM^x$-JN7=yr&gmh?MRp5JSo}LNA5HU8EBlgSt&T=`_LUZBZ^2I|dDX+4T^fepcAc zxy;btU4R66_WL(F&uyziEk-LdORoB0i4I(?EetBM)=Cofd1rglmH&v?y!did@g?!BTs9u3N z*c^-Kz+B_ZydF4fRVrqP$2~nt$Y;JEBr8{t0ScHsw(7WxFN8rNZ#1iABbmv)%nl~5 zz4}w+hv8I4=KHp0&jx|9rcsmaJL-rRQ5yI2w21{az2O>(#bz}FW4(jn@BwQy|(jVKZFGU`R0jw z3@mjIFoOJ(-irj)`2-TgNo0Rl^2E{jfn5p5(E%g3fD+4#cB14eoKRW_wv}RY3i^Zu z7GGTvKq5DZ3HuWfN@y@8wdhbHL5gKz;k*<1`VPuBWfat3GSbVdyAPbUlM@arQ@S7gMU|pN&->XpklsN zqsFv1dW+J$&@G%bA@)MgFr!B_8ahLZ7i6{o4t6>JsoCD1iS)E1y$l}}64-xs3IeCB z?xx69w)7y#r`WY5)8}y4tLyA>%LM9X*Kqqi^_m%xm?lodGQ-ajR~fPn zLVH1LQ&5w1^N3NbJ0%sdyAA8%GNyFI_7e2r?&XSk#~&$r(q^?EsXFE*h9DdewD!i0WQL|(YlC?Y&7V&YfR7c${(bRwXEkprY6{m``!|66b z(>`O$ioH;=_-xdXG03{_@VIx5dl|Al$$G>#<*9@bV`*)6?sFQXbS$Hpf6b)tg|~)3 zg4MeaTr+@bb|9E)HKJhhgeQQ!_dL?Nt-p^6LcB++y2rm~%I%9<^pQ==IdCNB6he%P z<#bx}X9Nh7##mfsOuzfHJS#WZA)oSjkLaUHCb#B*0R7;Xcd%-^!yW!?vSCSq5zo7z zC2b#t4AO;#wTjwsUe0{yrrf5LP=USuSrj(&c5%iDHzy`^NCbt(qHf@yiK6h)C~y=236e_78s7|8>4~#I#>f|TB>HNv!gog{-7y$juafGD@C1e}UQbz&k54(3QnrwpoK_X#> z5oNe=&%Cq6mB1iQou;%Cq+sXW?RB?C7Yct>9a{nWlM_)403V!?v7TzxPK7ESj)&lg z%={K2r0dfNIcusXRGoyiFPsTcCger&kVMVSX3mWxXD11VM$|f zjM>zo(lnm4$HhS|K4=&2uILzWK2&cG-bu0J4*^+6k`F}Z36wzVY zWEnP59}+YqiJM3}X>-Q|5l3`)Qj(eUz}mQrCrOsrujaW4xe<;{Wn-%ODV@U4)OO)( zQO}W$4$!w2w$t3`D1fwzT;h(9ZuNQc)nx7h)%iwc#I zw>0_%+-uV@Bv;mLsl-xH9`bQVSIvfyyxYA3?KusSM1C!w1n8`uQG>3!MdOon@iXv*{;@!H`Z(=U?jg6`O~dN%PXape*`0Rk zt9Ue&z6dzJ5$LqXEWG|)toqxBRcz&$m3krh1G$bKeTtRtuRJhe>`b=(qHGtHR8pKX zOM-E*!w0czzJgHCp{z8$wl<7B{2z}_6$q~@#jDpdPN$zDN)Kpw*Vt|aadR9kEHUq} zcE1|!&&fo^)l4x%lpWPH2t*a|zS$D);LAlSWD}fL=v<*135&jnlAaram?AJK|W{O%30T4g$Vg@gGCx&-D`Q^BnyN zfk9dd($3x8u9UANLwWfo#M`imsFdRDzPsIY1yk44LB!7XD`k0;L$Q)Xcq7`5j~I-3 zGGn!`m$$CO1fD%yvJZZ%N6*pIuaF&5 zG8-PB4u%lg^nA3MoaWq4Bt2!tXxkN$us4Q4Cc42ncn^}QFmyK@o;Q|SP?(S>>fLd8`GCEv4IoK!1yC z5z(LWcCt`mt4QH;d)tQ2T*D$6V2C_4S9ks`UX#F@N^J(DC7YcszB^g6^`u@y)Mr@_ zZgaO2+yT9|QqB>=}>lay-m;~4iaDp%&C@8T6c zp#aT3wXZc-jqQ8qry*?P^HI$ux2X3=Alb_9?mf#QtHIUT3X%E~^v{>jApEK*V#6p| z&IDeW$zpzO^%t@Xs7jua-6r19>L#0&i@xUAa#*ZG)CEowyV2>d4b!7YXksNdudrSJ znhAsWu<)Lg=s!7b7>hRO0vk#y9gbFyTg>1+Z z*hoMSaQrs?JsdDM*k_e^8_N8Ux_`IBLr=0QQ?wy|Bo#T5S*VNxvviy+a&MX7&%{Yy znfFX**F);g)b*+-?|J)C7cO@uUeBpMr^RBhm8m+l1f)L@%~(Nro5;kKAs8^X?I(4< z^f_BHI;wD%MUX(dWsln7XInhzwC za35JAqL+>GqV^Z9>EwrYoY<+-Y(9oXvp)>Ct9;_A`*|{|jr2Xg9J`J}lK9|k-x{EE zt{KIl(%p@>rp?=!S0$_o)9j^PP8>3&!z`Ovval6Iwsb`+T?D^c)$Ls5$Qh;hB0-fY z7pC~*rD43!-}MBMT6)ZQ>&!4@*~4SE@T4)jEv3FB%n%O}$(J^5!QJzo=kgzW_wBlA zuPa61^rX+cYJ*SE*dSZi{d2MH?}Ee@d8ZvW8l=M>KY9%->?{W1lH81n20ENUWYjWQiN*|1C!d_+w41xrl(AfSY)*gbmEo&6*CWdS^d>tOZ3(M_`Jwb#iEVmb( z2);KULaVv-6g?omcGolVN#P88l_kgGK`yD#jB$B;e4Svi_D+dV zQ}E%%w?Hn!YT2PGC!IhO5B)*5;yb_ND0A1?Zg=mOdSUWvO&);2k+67vvRy>c0=nb1 zK`bCV!Vq25)Os0APJ;0*!{Z9*UcooysDgKz7&_|~xuJj|%$=4a3d|iZ_RmSsOQV%g zTBfUa5%1}e^8v8+p0ZVC6HoPO&G3#0x0r!lrAUYzglDvs9>$H7vx(2X%uP(m(~9?w zpLw#ut-znE8r!JGLx~u+6INT{VDGyIWG=#A28O);`1@2H($>a`A34S9f91SL3Z~ZXUIk%XOBP-V4Ntj5{v%S&Q*$HMaeZK3vZ!_sxyuKiki?^Bu(gZ8 zL(@xdqiiWg^kDAhi8Pf!a3!Bfr!8(^=Tu`qm^P_!n{ZoPzfDf{`qXcb!&q($Rc4$l zg8_iQuxV8T16fwTHI*uPa>QVrt%pbK2k_JSLE-8$jJaUoQz=Y3f?cHGT-o%hxN5i*MBSWDW>NJF#!Va5I_gf!8kPJ0x=~z zZz{%=R?=N>$S~lU#Gj&jl5eWwAp}^H$4YWkEfo*pTN@=_d${gZ5beUh-~9N>4~x0g zOquS$?lYk|17|@|9#f`y$J}oq+L1>xmom~t$%bxEv0Wcoqg-am%8m(l*@>9e@dCj? z82k+RX*EEcQ{2_WlpP#+u6D1?`h5!SVSE*NIr$3AfW0fVosQLovNF?1$sUvxJcp!e znz*TCr|>b0y}0i(KuF&g6vPvE27Y?cNniE??DJZiwqBY;(f4P(vgS8BS<(eW^T zLE9~LB~R|N?XP+Ws{Z-RU2-}a-$uuq5E3mIcm0zGs(ZozB@vQf~Y4RbUhCb1Am`1QE1hxF$;yxh=nCrWOh`iHY*pzD9A8f3q zEux?J0Aj{q_^8`UFPeJRaAmtvt)8tcp)Fh=|>rM}4=q znOzr{HYu2Jj|k+FvSUz*BLS=8yZ;FbZ89kI*+Zt80*)n)qgQX~l0z0ryvcQLR)uh^ zDpc+L%+jpcIW^|b;W#CN8c1&z6pG_l6*xd}YQH%HL&q7u8SyjXV~K{b#8OpEwp=kf z2utj@8dk>}!P1C8&jh;RW;y@jv4)c_K07edeFXKR_1f&T&O~`t{Um>KX9K#UQ#oRM zZgTImQkOU|)LQ$As#k@>G=#9>)?!)mZ36bhomol(zzXV zly`!%(eBD929pq%FJjW5;%T5GmBGj?9Xrxl#f<~vy$8`0>iLu5iMW&%=#IhjBjA{1 zWtmy!zlR2vf108^YH~A|@?~e0T;wZJODGiJnyB`dm_#U+G1}jE(#%d{s>trs)2Rx|C9GK~(N@JTD90Y(#A=oWmFgCG9>Y*tD!_J-~@iC;U84u=nq>kia1*}dmd z?6zva21R{A3cX{duT^vmk&{kY6p#qlaXowGNks+oxlJFav0qX5{^RL(4#so{R-n(! zhAlLHyLzdrZg|xTHk9CFm0YXm-15a%ziX5>5^Ag6A7=vB>##*M$>&^%Cyka98w1g; z%t2kE1eIUoE#ihW;_NQOPrKx<0EL>*@f8{?xD9SS5rjT?4l5HqZHj2cx2kvqx zay-~yTfda$NkHPgcpkl`(SQ~7b1%Pls3~pCe^B{E85z7w121?Q0%VLF%AKJ1Jp}bL z^Z21thA#T)IP<;RMlr#4RWJE)xhRgID#AwilD<|JAC2dv^4xI;Z{S9=buW@K^G>H$ zl4$|S!?x**dy2N*C^#%OMmW~Q=5vb2Q)2&l|Y?Xq5d)?^zwynG)Kl`lKuK$I4~TA{hSw5nPWukqf2#@ zC?9dz)jU6mhiw@VhhoDj%aM)jY=yKuTz+IyqBe?J{;)2ea(g?J`@T_fCrKawBZO%N zp^}KbSM^?jyb9BixVHo(P&ORA>n_a53LD;l1y;AM>ivEwk9p?f*T@QNtL)aHu=g2Q z|Bz*F9vXwkeqQLy+>F4or5`PX>!&F3SNI{3A^D|U{ME{rwUnRhiq|z~BRDY~ONJ1v zF|QchK1&)@yPx(!y|CUA_Imz!e^pXJ&nX3OlkQ%hLoc!kpVR6!)bWt$2}V9uxOB{= z#)c+rfdJkdD;a^tCOi>?`@~WgST*CY{yayT`;v)z1l116pM@3UV&RK|&Vc$Xkz&F} zq8z&oe(j$NE9xfk9i|ScmDUcNgD{XEwP$TGR+i{P#tZg^fgky!FuP_ZRen<~^z9?R ze4BquWPu10k|sdLlsY~yI|{Rc);FuTkoH)Mxj~g!?_ij=m=DvtLuPAjq-3oZV%`!} z86xw#5tnO;>Dn}kUzS(ECkIz}(d*Kye@migrx(YE5V~HO6jWo^I&#Pwq3Pibs{Mg0 zjnVeaf?S)xIM=`7LH>6aG!hYc$r41mZ4Jj2g?exjND{Q7Ep@5cgHt&S9jmMv@?}w@ zZfPCUULp3(JDfsuSCQrGw4yvO)=za?b(E-G`Fpjv{kLvp9!#Vl>j(Y=L~=NaIxwSF zyn>LsZmzw1OL(oL>>$Q|ezmoYnxj*)*%C?M=_XEVC*h;Y6;)$9m6O<4XUmX~Y)92H zk?fWzu7@;7R%@kv9pdZsD>}}qQTKB8Doom&K?xQFq#=fKo{spp_Co~M_aCho*-n0u zTyf_d@q)~3cv+f*mfgat=2(rG1ApWk#yti4pbdJSfB!sTk|ipl=Ded{NvSF%yW@S(b!7J&P)+yj2>RiC7e*H|$JmjtNe1 zqTwDc)L^GG)nwiy07rkbunlst?;B zu@#5H4jgR^sVqS;!N~uT?uP+>A@o2)IiG)fHev$mvh3Bk8mYpR#!Rhh`JKA7ULX@`A10#GdlYsig>3QD;!87_&Ds`Y5fR4Xnz!9Mf&00o20u)bm3^KNx^~U zXh7KKAgSglsOSkM=;N zfODiDNPZJRuOKMq?-DY*OOXvQj5_NJ2ewtbA3(<$U*1RFmOZJUFO?jLjP_-#K>nj4 zzA~rZYpI!>xWQUcv&>Aoi&Lq3nVY{|p7KX2D_B61Nc9m;@9;%$YLTJyY&3ylicC<$ z5wB5!2znDo(GHDM+bPKl4^onJ5X)B3Wr<7p=?hIz6S%@XcJG!3N$8Iu04~@f9F|_; zX52&gG9YfZ5}zlH*E&a6hVff+A(c~if-u@d3_4~B^JO!qHtJ84pF=I9>y|XpnOfQ{$GTlP(rs zK&=#QIw-(fhd>8jMx~;sXZEE*!%+Hvo*3HDYtbG==*Rm}@8P@kqHBcEzKEK|5`h@4 z?SA2fGG7TDsk|vEA@9hKWhf&=yh&K~{=<|S4)}{UJO^yaH!A)_wahg#OT2a`J3Ox; z*p4+dQj(0rf_+8{6X|V`E4D$--*Lwul{&6yIyHtmPUPj$SnYFBpvv+Vw6ZF?HVmC3 zXPE7mlhXMN*BEV2!@q$}UH~}CBIB&pZ!-BT-k*7L373TXA{ORmN2O4CL>F;P-|4I} z;ur>NEJYjGQq@I}!ss*njNCyY=lq%S-5FwAK3{L<{in7mHH1PjC*_o2t7w?L+A_WO-NU{>pyqvf{G?4ECSyKdM4uih4g@No`FxZ-@deonQ6`5P#T% zRsu2!(qO?zpaEq9D2NkIAlP=gC@G}XUG^sIpAG8ctAM4Z6hP6AG-|aM#2v_7GY!O~ ztJxsYuh9`xu^czcVZHGHcFVnV$9_WFj(w|B=>dH1_BQ9q`%!Gf$Mk(fcp%QiyprQY z3Y|{vzWk1@a8kQQ7yjf*^P+q+a0*`@)cJc_wSI}0fYSkbShkLJ3g#Mttn%^@OnvY1 zxr0DdQL~wT5ojqnJh+=TsoU2bNDdMH@Dmj?JW}gsQSa1Iw>52}GulZEa;Ljz_zJ@n(K8yKb<_TmgeiBy_1We2Bn%u19F%`F_3kax9UVValK7N-ks43@@HC!1Ba`KH1Uy z|7%e=x3h*`U*76|l0CiQft<3+j=KKBqYfg0ecuNrlE<{nHH*d;F=VtNYot(>VQ<^I z1h$-blNR+86Z=M@dyLC@I7r((jp7z&qFnkH@Pv;@wNb@Z( z!*!3EB2{eSnUk#OL`x)Vmz<0#MtSG=y02i%(_m+j`Gw_r;!5`!FLsls(uZ=>3t{nc z`2@nzwxua_j>`TZ0{C5m=B8sWauI~F&3Lt-a8Q+XSplPulkTzNr1f_AHE8yC+aQbR zcnuvkba$zD^J+)AJQ$qWyr)yGUqR4o@sHa#hlSp5A>F1DXIbLb9laZN^{o<9%=iY4 z6Aqx)u%S0?Zv&zwG|X*E)|Veypjo2?Qd4|Q$VuF&#dkm!OXS&e+w+h5&S90*?{GLH z#^$^Bu+OQ!mcCQ)qk4P0OYm1U=n=i&WdLFcgbXL@P#fEds>x}?@>XrU3%lnj@ z3=HIz0++tO z%XVXyMhrdK7RY+uH3dqC;Gi2bV!nQl4)X>z5vT5i&wG_XGz4*=P8=kRsEJ;HnJX-b z4rAtsBycHV8x=-${`s9LL_SJvdCv251OnGj7*AW*Q%JWlT0=XBY=(?nw{!+py`ou+ zW5nQD1khNw%^c;a&3A)dCrHX_93pC#H`TXL@cNLVB11rb+x4%@W5322_+26ufUlPn zuy=+Pceqn_mP=?omqQQx=+s)xyY5KI<=XAN2<^PQh!7Z4u76)|iW=AB-K+3^D5iG3 zm%n9BOdssfQa!#Xv%hXH0nP-VyO&e+$*DgE>J{pLAIh9J7;s>p(m$4a?gZA`l%E+i?KC$I^mOydq8G__UYv=DLyF1K8`rnDw4?RO!fFV z3-@+v=Z-{ef**SadObfgvlC0UcSGT`JwTPCDpcd>-g(lH)vvXuUo*AWG1jS80ZrUQ zMMJB*R@q2=Wt)iBrVRoat@?^p6h#KyJDwey-5Dn+!)QG5zJ?4ikod*u$>x|FJd2MD z)x{A=Nv-uuKXqP_)25I)STK2MA<*$I-tx_qG94`WJ=Q`QC^CnF;l{v2#C+>v4kCh|s~_on^O)BUP&$=K!w=SD zVAtDSJpTfRcR5IDEBRoWNp-hQL(`3|%fv^T->#=YGonH&Aj6XSLUyVeK|JtaNZ8aO?qR_uC;g_i` zB3v$;1r-%^tt&ow-)d}{@c|VK_<@}wblyEHQ4o^AGKpG`1Ef-J`)joqwUe#_;}wYk zo_x@PW|EAOWsHVS&qz#i%)JY3MDhbjx2FNj7BXqBuT%v;TJ_B1t-&o}X;jn6D@MTj zrr!y}8LBxtAWlVLRe0twjr;gi40x9=`PmI}-=nHSiH@j(%Nk`%X2 zO;#ah^$3pYVYZ}5_IDsCX5O>#zw5}`+CTCEu6y4&{29^d^xI=x5ob>TDBLbvQRU4j zdJrpyZ?#rGL3|u6ntQ=YkNm@*pIysyvuaPu7_5Av7Wbd{Y6jUZ6>g5{y`T7-vDxyq zt;wBR*Xx+5E(GY<1L-VdcrpyDY>XZQLRzS?h3(+&7OCxcKwG?9NBYiL=CuxRd{|KN z56uN25OINWae&IBkVz8;DXwu?ceL|g%6Y9Au0@#|qySko(Pb^hmk71NVPwm8LsW^2 zQswQ^h227}3|Z+kZ@ow_gpqUrF4M1BimS#HpCL$JDC~)s=UQr1rZ#}K1XUqw5qJGp z+MX$vZeAvmDZI?rwP|PQ-on`;zOFIRBbOP=Tm$Z_(kCAD;BTj#AoMyLI z-oWMzVchwT(bm(8sdzF=6J@5UW^7%`)Ct&Z;g{qs*zot&2Sl4y{UX&W_W62h$}+957ZlEUSYZZr?ez8Q2EfdX~PI=59bFe0Ieo&0!&t02S_m=j7s zC??>T=W({SPQFT*(#{W=^Bn(M}#$3owak32ake zZB0Q4b92shFD*RxX0JxWhr4`+b|*s5>~kWV2-`AG{E*C0%5KGrP?ii=k1FKoXeblmMB8kNa_4sivEYP! zuIB38Gc|?_VDE5$onorc$U%#8qwAOz`zNGEi1UfA96Y1ww5!<8&O2liU?X=ti^ndN zNj|b75ReOerPJz|pd?QfJGVHb(5kCwIIy0&WA@#Y6Aaf&uL>j5xRVO-$Ek2LgOQFV zguFo-5_;8+aWzJ^cM#MdeSw`|ptJDw32z;kXWc7nMII}=95Cl-9*8tak6qn%X_5T3 zDgZ-!YfsHN{8Bn?9z<}Q%VnwSNxLdIJh~FQ^>?e_$R`@~B08&7$ze{_avTHaE-;=Zk z+C?f;O5YN!59#4HK(64ZL~7JkfewO<|8&oi_oh82lpnMU2yBU1x)DF{oR(D|EY}1O^vn2CdcP@QttH93c zKfLdHYhouNYhmy!ap;3b{at*$5yVwk~zggsl?kvmQ`17 z7!3$DvAe}0mN9ju8JlAPRc+D^V;A1W1ouYy$s(Q=2m!@>qA(4%t%x{=R~xA#6>INg z3>Jf-b*2KMN}KAP)qM)+90VP->*8NmVV(J0ETU$%JInjM%jPtQ=RV-zLp)H^2{kq& zOHS>cOn$0h>*X4jYpZ3t3T0*%>{8b4&p7w-;h+}s_vClSydN=oc5=1Frl-L__U}4iUe_u4q8CwTS4i0= z(oZR=B45-t2k+Bkc1_efd_GAdzGDxV$m~A**XiRhESiP0tHh|e4PzQPX7vQ`f4*(m zvjKPKnb-Pb`BIbBkNeY_;xX0(Xm5D@Mc6fx2Y(W5g-@VpNkKhnTa^mK+K2BQW|-81lQX4{u+?DVH6axd*9EhnhcpxT{Qr zcc*#;j&z_IXSa;$kVecDM1iIn>x~JiW=M|6Lgmo=xgl~6j&j4ojYFjf;#7h;PF?3Z zL6TyAFa`h~WVd3!7465Xyv^~VLSm$T=tM zsoh>o35|*>V-P5~kt>64##@?Rs*{%YKPDgf{*v*}?Ksd5|5EvEJgrI!L|bim(9?aR zrnvq18+abU4mjunl+fso$tgZi5#D*Jc()5PVWy|{jUaKPCoPfx_#F{s)k7WW`0&EP za>y_G3QMHoedXA6zoa#S3VYOd~f1Kjli<>IaYHvZ66=oaV$eckR-Lb)r#K z4O>wCci)f#Mil^yOv+o|cll?>CuV|UU*8d2kI0E_mO@74aLw$vUto|qCMc0VMPWx` z6wmxoj|*X^!M*%42O^X9#`?ufP_p~6sk1I3HD(RO-Yvs@D_k}FDU2Xyp#y5qXxMEd z3~%FH$>Rw`D~mbLVX`6$uBm%ACI3k;PP|HSzpHEj1Pe3G3Lmkty+J0@F8k(%{eE1l z3*8&?+X@xAyCRkj2MpW9!xEIp25RQRD>JaRv-mH)*7^a@+x_DepmTDn@u$=VGAcWT z2%q*GWR_84chz`S_H$^74y#{&G_~emfMFlVmO7K-+Wp*{Ghs>-ygsc^Z5Z81#cnp1 zGzu6Z;vhh(`5km3?og+NovG5qZo%@AI1s8QQ4~0Sn0yeUbgZF?gla-q>;7I?;(lYD z+__Xm?aNLW$wq+~g3kNH&zISu#eZD>2T$Ild zDD^R_1#N>WQ$^T4oT~b^*+$M_t#O56L;jxG?V4uRkZ*zU@{2HNFMlC}Q_CfQlxc9Y z_K4t>(XV6A?G;X~_p!$)4o`4&iM;g8b&ii2p{8a`)Neavw)0YsZxQ5~I)*IY(DUT_J*eS3*>X>u%*Y|h9B-hO z;`BOSff^huUY$+6vhl21NOk~A&ucCLhy5l9W5?z&ogYA?h_kR;~MLT@UsVO zM(BI?QT3D4(OYE3hW#*=``TIfJ#B_Sby6?0vL(R)?ohu~)^T;yU0+-4<0--?9`EkG zY*-^s>nZSNQ7&jJ;_!Asrlcs!>B4kv5cw+gJr-7{bF>Sq{fm9o69YKtj>Gm%o6E8e z@d=({le+`y*ua;4ln_Se_DSNpp^&j$_cU>Hh<%AGWZ_b)iwO?breWbABWZ{*uy4Un zO_votLHrl(KOiY%*G2}g=^!5P0g_Qv7#VqY$KJ4!CyxO~nUZYFv&x#^baJ`-ml1fZ zau&iVGgo&#TGqmlMDcw80a&`1Ibk(OSA%X@9_kNK;g>Mr&Et8aXw@syx?aR~m$LHJynh%oxLr|1s^0##eFJ!FY`XiL9xDJB!0_XncyFFOsv;kA|NrO=kVEcEpS-}wcyA< z`A{mj_yFrU_pn*%1%*6vx{2gH*cTs^tB&mlC?7OW)4X*?aA~#~3hE>L%iD!2grhg} z;tfw*xl|un1f*4fw8db;kD|2+qLv6_-pM5lU^F?5ii717)5JX3Ic|$*GXSI15bKYv z3m>`!Z%B$SfV>IFr~-K2(DDLXdKDKCI&H3|5uIJ>1)`Yr)#ga)32mr?%*$19KY^8$ zqpMJ(1Fa5+QznkUp+3ERAjKniS_2c(*??RxZdSd_PE^bN9cK-410=~j!Nj7o6aF(! za_NO}z!lqAv&I$5&y)uMZgA%H2(MG{SN_OTI5*L^8bBTh{_cs&=&#dQxi9T%#j*-t z4prXC_^}JkCg$0i)v4uMs+$%w?OAIW?xS*E6H?01E|SV z5TNJjOXpV&`$nN(B&Rg1%x7D#wt*?CWM*!lS0ZTv%B8~TnZ*qFLNQTjrmWSH=jV=H z1G8{ghd()6z4p!tRCduUGKZ1yVWAS(_A&-aznH(!n(YgdRbp4sYd7u(uJ8D*`JSDb z{ek;i+3}{%-}3eX0LH0r1)HzWcaeoTm`4pL-L(Z2v^8> zwfUA?t5=NpV7RqChJHAL>Y+x5!5pY6$Z^HccvV?#M5l0UfdoVDu#R8_LVpE`$>fPz z-bBUhH7R@yrUC^KYPW+w0m~A->QZdsE3t{Uy(evV60Qo`We0Vr#?l350k{U|b-VLF zwv}x?RW!UT{QU;>dZQkD~|WuqsLAuYPe5x}_uBt*yT^I5hf|mPMmYhwHiq_ulfP;HSvrFc)6Um6DJ*s{sucE~pb+bfeL)%yLR%uNXV)kNaoIy1Q3*)$8eP1_uS=qKqg^Bl~I& zg|e#pqkIJfq{YN48k_x3p*!Q8Hiq7;mh#Tl?_jSFStkqNSz;hcu{SZ@j>qjUrxZdV z0SXRi2f1%9>~9X17XFV|x^>{W@3QP>a#!#t8(9_5`;_MSM`}Rz90p7aq}j{L3R3af zNf$NkPWt3Y1@Y2OF-9k<-Kyjnxt;wOE6e|5K}tAalUVFkI?-S{hV8@GgDhuXl#f&1 z#lTnr$YG>csRZa%v+bK_nq@aEmlUJ-Yh`vkGopx)ZXDB0XmPMn$THzY@`^OSUBNy1 zP%8W@K=lz#=ZpFzk4nw5!nhgFo z%T~pLf~x(Lkd!*9O75ZUBWL&C`T8NXBGVUcqwQF)$mtx^aR0(pZ3Khmj;Y8R0Zr5* z=(>!+K7`82Om2?f#VQ1f(bK?@zO@SqR|acJ9eK9bW;twhIlIlc{-QPCs)!h~5vN)H zCJY{^!gLKF2Iy0%O*0KHJZ~`Sm}*hCcBfu;9jZDk4wngJWJk%bBKHZ@bB^n^BAX>K zOP6ue*UMc8Bspus!XQ4g4iD95(_^$4Bu-RxV9E<<6mrR(Jj!XFMN)7s)RA!>uxZiB*>EyQN}5X>YhFzW=ah+)*!MJhobn_iymn4J<(G!J z;A}5u5D&F#+G|;`a!U4aw&4?h(-x|=H*LEd#cH-UwN7rFJ^lL%p0E2jE^~-`OYRbt z&EduzVK$2;G?4)r~FCfPiNBsAil0YxqF>r_>Mr3wD1y@s%9!n!T^P!;VL#Zo@3r$Jzs{kzEZklVmv0j| zM){g;_O2S^ns9%tPYsT`TNq$8srO4%hjCvALr-R+NaMS!Mm9QOhcj)y(54v{Qt$QJs^=QBmjC8$`@2Fh|{)MH)VD z^kL<23W|X*rF9NAloVbf*vNpUm-N@{Fw3dD;0Gf+g1&_sE$td#a^^vDak{iw03*B|LzYn#{#pp)`46%Q1;Dq6xz>F8>HjYmm z`@4iayij3f*yk0qIC*1au!;aOm;g*rZ<}uPHbL@ZB>Sj&iZn+it(GbyABEY&%mvcF z`P(^TD}wCA+Er-MMk+>oVQ<(b-bXxdl%9NH=BCo<E^ob+hM z+G<|lKL9nNb8{Nn5<~N)LTx_u_j<9xPD!8ey4Xjbre;+u9E=7=?TGgoBH4}RN(Y~X zat|_w2#i$vOw6y1=&3iMA(^EROt9^!rh@~I+N1YkR!(~Svofgbgg~06RkqKJih7qs zRr?xbh^&?j@4^c5c4dh_OEEPSxyP;bpvL{s1l~?38RvN7*!YPcXm8wB=BJ$G$(}q* zN`&x6PT2dDb(bVilJ=P}4KP#qCSwfoM;q#)J)bZ=?7j;zHDR0r@lK_~*Sg2GYD$4bJk-biQtXNi8pL>>`;t9ITQ;rVawCWLSs-1V^d5x zATm(2T~{wPucw?l?lcdSBKy`{(CTe8SJpoF6EA-Jnl;AwsWD1IlN6-CcC$UXhd}Md z)t-L{!3`QiG6b|ou8D!QQ+GB!K~kXkoN~I_L3Txu8SVrp6nl+I(WDq7Bdk z`%-yo%+@yYDb#Tw2>LtJS~`Xp+4)I|ptAMvxu`omF!S4=OsC7{r}f83D1_wl^Serf z55;7#h6*H1<&{pg*tQ^}r01@``pjpV)7I9TZ)kQ@Z@S`b@D(XlmI!Un zv{V*sAnTq8t;>_J@fW%5tv7@NY}r(EDJy!9*yKI@JZxAu-bIMp0VtJe^BAlt^1(&%b7 zKzaU8+|jWaYQ+B-6NCv}%Rvl_!p;gZ2l)VTwC_y~+XxT@RXDDIVJrshk)!U?BI6KobeeA5beo4+RH(>LOes-5ssezv|K6VU z44n+aTINMs*{5^4&ENczE932j#O?)sLtACGvDcEEp|Y5^rIajU=BMccboesL95;bY z5&gSu<8iI}Xc{nS5IXgK(Dk;iRgYX)IAJ9BxQwO6@A0iC1)TFYjSdQP5h`r+%gIam zz;*QoVV@9~)AvLbKRg~meWmc=FB@mWX3zt;zT*fBI`}Y&a}v~iOb`*wVf9ca7z3B9 z#}$rf;Z!MR#1{Eay?{-2)M_L(GV0>(9TGn zeQB>ze&7t#@&WdPs+f&kZu*sX)o}XH^Y{tQQLb*jHB`UXKb*5E$m|ljdm*bSvJexE3&j;-W*}1k4(PzvEBQe>`E;cYL!aty6x| z=8(g736@U6pHwHYMrAK!;(aevX|h<>%M5TeXk6KTY}%?$aZy& zytUhwH^Qz$nXc%Whw2hea&6l^1og=|AbJ1cN@isotS8Ew-1DBxCiw~fLBXqtY!8~d zg4J!Qr_zyrQTN&`8uZGX(O4Yov1}Jl*ClW3VgW%*FK4Vi82YnL4tz)0@m!b{z)pZ! z^sG7l3K~xgOO%o9kY2#^*M9j7>53nl1RKi(D!D8*!)DxC4hgBU59DwYf$C38P6@f( z3$|IZS&TUh8Ei}Bq>1(n#7!wABwHe=4zI=>#KmTpJSod#f4Y5?*t_zNRFxW+d2JT~ z#cpQw99midm?CyS8Yr?2vC+TUv@O1c9>j_HC41s+_Jk6>zNRp&F9g@>kRTGm4`TeG zH{9-(-)4}TH6WHXJP70XFKB{>O^PKeeh0w-xxHB{>*frmzXAnZVe1;{GfRTf4~j3p1ntUl?5cKBVvnokEn>cq|e#q8Q3{@b+x2 zDkkfM+&5wJO~XcKLd~>l;ntxl4GNiuod6f}3nK;B(hqGeL1}T74I1R7_;%IK2Hlhf zj^+4+FxA(4sR>$>WUA_eNB;-Sot%OgcI|`ZSwI2K3Qy$+8Q~2s$SpMkt(0#K*b9el zet=|?d3~BB8;{xQHtp%*{PUQY)|vn>5o@T#_VFW0pZ&(IlN|kkJM85sm!13j(87bx z8b9&R!_OXci-#^i&>(|m%KIhIJuwbVuD>D`V9l+Ip5HSLOFGdV7DKtsBZgyNIiYG^ zR3EP3fwF1MlPWnK2kCL6e&J{3iG1XJaRUl08}HWwMSW-aD*U;|2!HTa2azv_;Q4RJ z+Xg(g{VWoq@Id9_sf9L(Kt}*tEz7`?5#g}vg9G;Uy(?2OU>3cMWw=#*Z8ge_Oz54U zWh)dmOrtf4C2fLjBxpbr)JvoA6p|rat7d-~aL5{zn(!ZS{{3SqT_1D%w_Fu5b8?mnrC}PCac#q}a@i4_MRTGzl(@9$)fi;b_CL`^{aA{Y&t1wO` z$2%epo{DKt?Pg|D0CaSvZrFX`Vk*ZL~%f(J{Jug)~ zPSsduBf|l)#^~fj6Lr4Dq%Lfxk9wPlNQkp)Gb|B|>_zZ>4<;z{N^5LCD^8t$fNB-B zEox=EU2`4zxcEgb_}4;^;+e(My=N`q>0YI$jXnf{R|3Jok$5wU=1+4;^B!k3I8@QI zo?CsnTP0aHY;8j`mG)>qB(xB5`M?j;`W+5KRDMk(D(*x=z~_#*MHCcsoFcx2xNFfO zZZ&2_7!BRrWRhR?n3ZevmiF(rs=C{_0*6G=!ZF5?eu0_4@#{ZborA1W#C?$n1{2&U zzL)e^R7-NNge;0D_~-_z5=SPVTVH)k)%y9M?QfH-aaEpa`7OM<49ERt%+@B4P^gKW z(oIeELeyi*&pKbnRpn_9OhCjcw(7#hWifh5bmTc0oLz*GtC<#W6T7Ixm4kR}9h4+g z{gD%UaMI)tvTm(YadRWO_F~s~2?jf@0rzRx+J)(QQ^x|qpR-Ln`oQc^y4y|Klw%xoYf(yf8`)Qdmx`@?^+!fDRsVVr*bIXG21>Hx?M z9Ew$yOkq)Qs!yQ48tcv#W z=AFXq230M40vcOGX$NzJ_>nsFllXR^aIcDaQ|1y0I?wk?`SgM6nCGr+p-&c6tk3K( z=}7=4F;IDF-VsCae@O@>Jl`s%Zdf0K=^Q5&Fyv{r zuI9$$V!V^IXoLw2l@^&PHV+r}5~f?c874nUR~LK^!tI5bQ1jX4oV{uMz-P+XI5hU~ z{#A%Y%KQ7%Z}$6#j1~Ri<$3m29QgdPXm~#0AlDJtpVhM{wz{)WHsPd-aAh3B!)=pG zF&Ozs)mB+8?Ypbso|I9(23^-`j#t{UJI8O3FP}+n*Qu0zB4%2xt-7*79ph_?>+ebn zR>vqZ(4bIBL(KVp0fpTZiLD@nH#E55&mi@Bm1E=I>B!%qtrHyPeQf z!zB;8KCZXLaCAbtfk6y0hl8YTsVZ>D$6dM^3T-H>)T7*p!N~{;Zc<5q8cnO+POw(tk<(oDj~8ayUD~xbDQGoAt~0 z*p)oG*iK+|FJ9sX1!z5`uKxkwNGL~#IF<_B_p7O^@vY~a0FtqG!i0E}6J&aY8?G9S zJFjT*PZG0;z3A=eVTR`(-Z&flBDZyA@T}g+G5=$ekw5``)4$2i42Da6SnS zx0O7IHxeivLE;QTA{$ZRL}ZGy6Ys>AR0FLPfBumn-R`05kKHAg{06XE!)WcA?6;xh z>>>l5o>S*hsWaX0qjZpHZVyoEOEPGVk|kh5zTf z|MV)V=51)a_iRZ|;OVhKOChTc(2@-DtH94JPZPc(MXphNxA}q~y`;l)(Zn|a)R60qc2@j2-KQeTv zWS@AqSK~Ds+T{x_o{o)t#)}&5yR~HF_Qf`~!BjmpW)`B&<`zV1092B>L7QuKNgyqc zG-v~V{(>Z$fk!>-%CUGNH+VUTA$%!V6V-jy;?@2|Qw+vbwr7^JioVtvwT z5!SzSE*-vPh<0D;YHF$v$p1z(L!Jjz2p3$Z&uH-mooYSBVRBftT)KH5epwQ6C3X*b zYV==1)r2B?BB9K+(=#Yg>-nxjcxSzQYdgQDBkTGI3o826;Q+c~q}re;Y642spFrnz z5494s!@6v?PXNt~+o9l@f+~*4CEVA0OayCP)6q7ez8sKoorA!hJxLVFp~$>v4sRjC zyGRP@EyR_wKC6ebIe#J_YHv33KPLNzIFqV5UwPxSuyf9EE6wM6FX95uaj4De(W~yV z*-ALiRM^NlRme8cR%4zrDFM_fKr;fiv*4I^n(f17w9=%e)!;#+Gm&zT=m)J9bWh+u zBJ{ev6uPl^0wsy3@NS6^+biRJPPt%3Frg6YP9vOo|NgpH<{$kk4Ilp^vsYxq zE;;{2ka^L|8I%=6w=wh0Lr5_ntrSN5DV&{S0A#?u*8oe?6Qm*c?K7e!{j>66x!Bag zvzxt`;PxH%GqK&>4GgTi!}K6ITCn9}klUwsm_r9-TMAFj){1dlA718_uF`)UbK`bo zsam+W>1M!e^GV;~F;Pj(K3eM#5P%rj9H{SIQo(7nxaRgE;|v3?zh$CBxK%!{*C=s9 zi|VZo_+@Se|}T+ zchTvn!OAZ(O<^O>EbdF`kx(J(4pkX|FX#b9^Uzf7d8o9`rPr9QVt15xx-J z|0fD$N?!L7g;&U$fU(s#)&Fo+x#c|2sC)U^CZFN89nno|4hS9`N2AFcq z6KdHHA)Xo7>>WC(R0u8SIKh-qd4=ZVyb!S5lI+U|VXh)^40F)1J=CSo6t16GL?TG6 z(x;b$H^OBCU^1ufrK6#1z{+8w>hf)6BFW9ODoHkE7o|8L$P}BYq@|jJo<^9lo^0Yu zU1!10pe~@q;UP|Z)&D)ZY*}C$2e`w)n&wrExsuQnY^X?ps zum&c5sYSt_0#7P2g!+&teWO}fi5in4)gS=AU|e0#O)oB0fMP-4f2k#9L4%_OC;tNg zh}2*&J^e^gqW{JRFlB+5I%{bt^G$AZ z?d@*=4L@2seF0aUjA}F4Vu)P<@mnWk+nGhDJk6gagf~|;P^`Uy^R9D7aPivb5zZHSP}3)8F{R>U6TkSO)Y^4RsEX$*y`>M$`xHslPE`kVQN3ApudyQfHD<<2toH%A& zqW2=11N%t<5&`R`Ae4%gwKUB?1Wv08>f+z$3ApGiEcKcAhVP3V3^iDq4KZpk7g@|} zv`t}xI6WhL(ahNsup)i6yY~O^sEIR@d;Q&StQ<_&>^7(RegJ5nEQJB0=`v0J$VIst zW-&dwC20)XQ#Q&+)jL<|lhWs6zL90&x=cSjR1Y;)a12N$5%Ze+uQ(x*G6;15z@qtk zE5{W(NJ=9IBH9+tkHZIMgT!Es((Xf{crQ)YY;%dXfVnvPjv0{)zb3`GY6dR7L@VeH zp)Iy|lF5q%>0F(n7?gP5N|R}?v9H#;Of{PgGFxs|7RKn_@|b+Ri}Gg71l2d{#4;ly z_JlwLOVz8=bW0Z}V9u;H+r5E=(;8x{30gWJ@pTkDeoM>8T^|Zt8X|8RLGpS`;7N{; zNJLIzu0ywRWCVx`3O2z`(w)_l)gUnifPWPhDBUj;&Oj0ba;$4hsy@*R(*bh%qtSuCeTGj~4%jQLDIi6Gzo<3skyl}H>#sN`m?Oppf#!wODbHWuV z!)rO^Z_y+bN6l&ptWY4ma;rJ+S+jH1z(INhPzUfu=yMZZ12=pxL6#xYeRk~2aJg=1 zcgCC@$E2pQ{?elGgy?lq9Kq|!Wn2Bhkbs(382W+5kF@qJLizNg{&@XmSck=&~C%&Ud< z8G4aQlN6qV)^>ar&pw&fxOc+>k?03n2m@kQZpoFzI8h@SK(rN*Z`Z@5J2QPy?b+Eg zN9XZ>-G42k6xpXg4#&JR$7~)Dx>dU?^g;eyemQ{LHZ}G& zINX2j_r%DCsF+EC;0o=4IB_BnUg}YtriLnf*Ci0~EKDz0;;bdim0eX>!QLt2tCUIY zVDKj%@+VCbGzC|BWLl0eLNTb7mHfc@t4~RbM#dyXg<wNi@byL?Kh zAiMk;?J_=}B_Is=Bz)mY4J)DX|Q%iF~!gB#J=l9@@s3^Q1dz2)uJ_GDTe3yq7|Si_B}cY#64e!sf-Su`k9XrrNv;s;caUm{c3t;MGl3Qzt^~ zZA%g&YPi~ZbJ}`6OjFYF8S1CputmGYzJF}TTwUwR@XD&OSv=ATv=ubp9G_u%l36$6 ze+JU(pLL#ua^-sS8#n#gu}R@-gWyeC77klziMrz7q^)$BI&N^H`ypM4)*#t@o|PK{ z!5$4!U7c4S+v@H$-P!L8bTlIcPgoGQa{f0`l+!3B!T*~YJO6`+uy@&U-ARNKGL2d9 zQVYrKx7RRTzs!_fM^N46s$Q$aOG!cKLAJEIQhXShWo&6HMtJ6}3Nf{#C|5Po0JMCG zv8k-uM4+;x^K&@fwf^Y4J0stuULXGH>kK(3-F2m{$21u zk-*pbyKZR7QZkW|IgkD$=)mb`Q>^_lv*DiNa+))+>QB(b-;uyKInDevOT2E=7T!Z@TR=jq9o^k1KQ?nQ9vSJX)`8P z*#68-X}m`-Rdum8kU}>e^3I6tTY1~?kkK#%;JW^gtD0DRfNZ_u;K`ZUMjPFT6W5MtJ>Ia5G*I*TPW6#rJ_-jpnF*?ppbr81nVs$$ z_Dw&ClOVigHR`BLA610E;5_CKT&uYct}223`D zY=fLVvHN;|F~&k5jNx1g4pX6RG{?2zXg!xyiN6I4lH>wObo6ZCPXqp=aeVyfc zN2O!Ml8^!SVzR6v{824=pfn+swX4;XAbBCPid%|hZe(+Ga%Ev{3T19&Z(?c+H!wIL zFd%PYY6?6&ATLH~Y;_I57x%nVFC08x2)X%S8U6B8=~6B7#@Ik}ppi;d}j>EX!LO`V)A?d^E} z4}_?bDbVGwP7LVs7btIU2as{K0Wh-ym^pZuIeD0v04z*Q-2Vl%cj5tv0o^Q30P+j~ z8GAcZXE<_Edk0S^OLGgCzj^-a2%s{i1~7ATbJG3G9UyFL>SSpQv;)WkT`Wv(|7J7> z+5lATjV(=GJpV@sDn1Jr7Y80jMt6622B57ogT0fv05u)J-O|MZpknH5>f~l>0{Ew8 zfCA9g^gpdJz>x#gEG(V>ZBVs0b8!bcnF9VQY%GmU?VSI*xZ0VRIsyJ>2dGNR0Tdlf z?fwmx`!|3N@Sn>8Ff%a!?{NR|{wI*7-M^fH#>V!x4nR9kOFMIbnWc>>Kv6=D!NtRc z4gj<>`3DHJakl^K4|D@s+5nCI0{&Gx5FjC}3;_P^@IU=I8#`G#xHvO7TiX27BjZ0| z{$8`Vor$Qut*xn@i!F8=IE%qPGUlrVc>E0PIX$oUB~j08>YRsfV!z<39=1JRMB`Wn}(G{kI2SZwGq^ zfZ5+ROnoiQO#lACc{>B$OaU%VuBN`;|EJ-9N^s1~0251N7l4texuqT4e@FkTHZ}XV z{CECNmL32droZ%K1~C2e`QInKzYH_6x3ls5Z}`7P%qT7)DJrK%`=6How^2mI-UHxG z&k3MsVQ2bFSvF<>=ih_x{|uu9wERyQO#kgFZD(c=;QDv9f3NAkDt7x11*rbBAJl;V z8B4+bFL6x)RR7I$T_$!W0xT3Wa(mT@o&!jTMu;pyErcYn#Vt~>EG4(pAp6FjO|VS*&!Bo4gk=}3Fry; zcZPo@c7QkY-(@o~_4pS@0gMcG_AY;20Do)u1(?}8!TmEZrvIUb`ya85U7ei%CjZxP z|0ez~`CrRwYU*KX47avyZ_N9{s^Lf1pE_YYclyI={srje5l+u)?X#~*#j_9KnO}sBO#{c+|CF#QAt!&8R1~_R@gF36@My(Tqg;$-b zm{>qfqn}*YFKofjv-g7J-;X<1;1 zw)^IQ?yybErs`+g{FZ9>alV#Tt^at?WQ6#7gc0vOnQpo=&AI7x-eOXis_4UBz{(22 zQH^qCwO0GtPp#0P_Q9PK1xFtV8-tjbUb$~n97jw2GlRjM?$Ti*b31%kX_$S`69Xoc z^_wBrfsEWZoHcq#UCXfq-?G1icE{vI6s_4@MN1z?2vzKRZBCkxX(rh*t3>N{KufdL z1x1}9ee1Rj=`U%BIq&KiF7Hp|h@62jBbIoppE4PwOtzoVSTz0DJ$K})cITbDKX>)? z=f3LIOk#qjGnL&XAgW@NTU06`vc_jtkVm)8EH^dpwN5g|vzYtMeao%RYbmyIt5XJ5~XfgqKyZP66knh&~x6fef4eRMkX@o#sN_@q8iK7-hmG!N-8G`di3qumd48f0qA8t%I zVq&_UlkI_29!Tk09al|`9-rkppdaemM(g$}EDj8vmdHGLMyVC48;rf>(YAI*tQ!R} z$CYS7c0Ud^D*rBOB1Uv8a^a9dpdVLBu(!-SGqyWT&J(Pjj~$>9eP*XP^CKJIx5=6F zOl&d;Cu!@7{XzDL%l@;$qC9*hak2^%qn1vn=}OEawT6M^gL=<2h4p`O-xPAP3AwyZrT+E`E@-ImODx&Z~|@Z1Uy|T z^Sw8Q50R0H>2pnK%D!JCG3{lf_qiz%g>@bL{x7Vr_iOuhe!iT63dUf}WcdO;$w?r9&f zj}*;tTdY3g=GMaHb%F0#{ycK#ULdM-7Yj(6hMJzp{Ns1=1@cfFfbo?Kbu^FqDrw@s zWIdI(clbHxb7-Jn_c-Il9LzEi)=rB+DeA>BoK)?vk2e|}U7%>AnfbCrO+2(-o?J3n z=1ar2%Z7v-N`)C^hh4L6VPLR&qhk5W5!jKwr0}OW=-6EKWB_R=O8aWGs--zrQzS68 zbSF9K_@)dNvC9FtGG6JQl{y!qzZ3*xVf&B~KSh=?!(!px&2P?pnS3zL`BLOy<2* zCGxXU0IPuxu~XZ@(#*J4Pd zWo^52p3yd{gg7j@S7`raTTs|zIn!C&_xBqvQ^X(yhDdqacq$GzthWTr_M-!G|F8?4 zmEWUAyvvG9njt*Swucejb1^q@lG5bUc=&uMLv6|OpiP<>5iSh?tna@Gn2RJA`i$2= z9isXUE$}A}dQEM-Ql;$d&1O&4&J!0f*J{*koXN?i9ks8aT{3CTPWMSddf(`>V1|HK z3fh$tkR>jdXis|O{+UHnM=TL96 z$0mGe!N5)nz`vGl?{_1g0h0!K^z_%6s`M)8B@5s1>TJ?G-o-CA>_|%b;T86+6(Kjg zYFbKVpxX-8QTIs7JPyg3vv8y6YT>!M~-%pNIu_HSiUmp8hf$O8%Ys7Q2OPPIL8vm&b|>&PkSH~(mMO>AVI zsJ6oEXy)M~MFnC}j<)htLsFokf3kvZxwjmQr;D$bD&mZ20vP+=L$or=N=;L#7eT5= z5Ch_5!Xrn~u}G%Io) z@*djAE0#X*upmeX0*GUA5WfXCqYEc3G|%{%9R?jEE}I?&(ykwdxy#z5?linxvI|VJ z%;fE4R13TqEwY4e*wx!gU_s8uF5G7q5I{ne^OcSU**lK?qHSs%4)M?}dn#uA^IkI4 zTox5v728RI^!gG}*~B16&ON6An+6WOKS9fUkbR1@!n;UYNH`f)I!sx$B|I*;Kt}mP zFiC85?F0TpRBa?Ol0HFo85Po--Ka*{mAO)lERS6MVCjZ)htfo#@dMk)rermfAMno2A|?9jb?HnBf`G$co}Urq zy30Px$G8X(+U=CfGcfd>i~StUy2?gtj@X%_W`oJud*31u&iAh@d`{iQe~RfJwG!fr zS+0#R`1u%%47y&wh844Lh*kzevU?C;CW$CzE z=n&0gdr-?zV!;)OGG>AzQ2`FchIZTVVI>T!!-uoS;~Qb%K?vIEF=$A?X0qvFlH4Px zSqg*+&G5Q}kPBvo577jdy`VVe&NSu#Pe8E0w$TOAGGXMlE2v9x&K|mccs$}ssF)F4 zx|EAeq5MO%JW*bgJJ5kB_La+Ci}MoaX^rLt1fR{%7`pR|`@j|;Y)Z6~S;gfpCKho% zVSXhfvQHc(Jb8z@bkC++X`+(BsW0bfAb21=53GcyQq~%^C>3e;lS*tVq!2bL) zEJqh#;B`j&8>)KB2TjmwAN9>`d*8!D=dr)Ou8zgBhRw2=50elxwnl-5FHnH~DyZ&E zHY1h~570HY9=&^XaoyCWH#39^-o#y`TS=g#tMj14%ktW=HP%Bf>mS~BM)5Rb*{iy7 zIH>+w%s^SL_1U}!A=wL&V_W;11;Igxxpzp$Oh!*afYO4(y8aj@d0 zqcf_|I=M=G%bmkt4k+MJ!4m2aRm{il%9?ff7z*O#^!u>AVRJ25FM-k1Z_b{&6!zL0 z^(UHfn`Y~7=J`&_l^tumDAr=MrNi_ueK+XrqHiiJw-C|%%LXk1)xt3obNwl<{WzyC zjv8&7LY%PdWO_tNOj!$@A)raLMiQIC;Jm+=c`Dp%i`g9L3`2?UX9_cgXCkz!p~VSq zcD;k{ti6{ypO5m<`xC`Cz7-F*1dW@f;SWaMOAa4Z{Adr`w?FEn9EcIuZf?`fyY|q5 z&ny_c-Y-3ybS#|JEm2DxyRS~wm=MHBbUF;>$OvhO@QcRUt=`0ThdQudrw!2!s4J~7 z`XhW7L^Z}Ig|i<@CefzK^|F*!v0N8rdc~@vUX~&vU{vtwt>V=+gsg`AdAgv-KJ!da~$~#qqwfvm9EqP|^Noga#kR zHOX80j(Z;&INRe7cT|uxD`9MZ9&8gWA7kvOp_vh}+YOy{N8Zw%w{McMay0;?a0T~B z&)LGASbr}DV$@STutDunFC!koGx;(NzJn(Tq|GI7={IJnQ@(_wEv5XuF4O5BP{rY9 zM!9?IF=u>*YLW*2`ROP@!iUqg7n0Mz6&9tYy z6+Y~L;=TSVt}oJ@oXqZ@V64LalZnZDI1<=>i~;s+t5XzJt^0s%QS(HDgJMOV1|C2} zZP3APlT+8ebxys8Xuqx2t^+8KOEr;z=f6Q4CTvMdQM-WE6*=e^W%>JuwtaVWq^_p< z^Q_02N6az75o4W|m+ZAXEGizf!I~n^oWjvhXyOv@P}XvDw)tRuP3f_CLrGUQawo#z773R$!=Ln}eV8_|o@$P9|G@3q&|a0hfaX&QwO~ z^98o72tlL9WMWj_BToYya}X?KLEGjza*Dm&C6fw{nT30C3fZID92XARm`NsL{eF^~ zT{Ff3WB*CnOb9x75T9kA0g^R*oyd)DdSb_nsh{rjQAJ4|$mZJ`O(j-VUI+um)2*}( zv%qK=<(kfPMyDXlPkiJIMtM8Kdt28WZ`idkW#Fx9T|Pt;`{IHv8o4geAaXSUe+Qa2 z;Tkr!9*9=SU_Kgy-ov)p85|al7UjE*?r**#fZk%>{GO~H_`bMQ(8%<=EZ`W+-Cajz zSo5?5H^7Ts+||r`EfXcp0aB{*cM(ImR+2-l&iLkNcJ=3xV<%dwIFt(sDW(KA|DJA= zRKLR7aWs(T%;|>1>Ag{WgLqTFn#i9HABFUg{ZT}{EH|R#hyls_=daZhSNK;OOv_-U z(`o}{4&Jx(iUHxqjx~)RGqFEczYkz8tjEaH!@b~-@LzrCZ9Nb*h%df8U6K-Va132r(*6p1t;RP!~BT7J*akn1Qn z(@&6K{ei`Rlgbx8gqyr!?0B(|cNJ43a;EWXW73NCt|w%nn3n*|tWZ8w*bcKz{NCmwlAYk+nARa}ua;Td-u%CLL<44H2kNh-&$%he3BMlZ()r#N<$Nd`^gC zBpz$0R7PS7#UbeGRlc0o9L*V*IO0BOh{xBA$Lkc=ReQ51PYZ`Bc`^Z(J&&D?H*$Z4 z%3F{ABDHB&Z#BSqz`Lv(SpRF4N)(!)8gPJB>6^xwr!?_hKK?1mQFc2(Q8E^VHMDF@ zE93)M0Nhqe*I8}8;da0-4!gKN!>W?90OBet`h24GUu|!LVr*&m)6=u) z)fkM=bl!rCYIDEh^LH4h-P#x6Nf!KKzT~%RznxC?9#(`WKF)ro)QUSlTmePYlle9x zhN*0*gMVLF|6wa-Mo{mIA}6gbDL)-R&Mjs$`Sd75NSQxXysLOwVsD61tVreA2|lQl z*D`dmzS2=PJvDFnbE*Pg{C6d<`?hx$Cye-VmKJvI38ru`J<-++#5L@sQVGy;kPY7v-UFH4mQ(`!>J`s-K$xS@d6-V6#s1`htIhr1)(th2o zB~bvmG=J7noq~cgS_uj+cYqRya1)qZE(E7e)@v(ve}g8c1Pld4t1h`>~ zBQDwcdVVVCT`Pa(MPXGJvZTE4AnE^MDVv|;8`c&5#CZ=p-m~XXnG0u++$wCyC%945 zUNgWGZyOKg*kcu^RROxGVs*Rs1qMF%TL!H{lw6f&I&}4`m{tPKUlEuBmDHSJQzR33 zt$e3FY99T5>Xtd`z4(GbrGpsQAfgzQC41yvMm|gp^MrPLa~)yYsb-#(sJulNKq;a> zZ*8R^)q2qIulZ$Pn39;c2qYudHw(;#?t!Vg=d{mzfZ!*;F#S@Wi*%FfUco|~>5SA` zQiDKJ%$VQZtPfHap<_$vi4Qj&X43~h_SlnXY$dxP;Wz{>etXHdUQSmi0}Hh)#}W2G z+rbkc7?`G~s<ht_tQ$U^Ut7dx zT$v9c*b-;?7tG6ADS&F2{7r}U=cO@4d2}80C1(g1En-&|;ag{FJ5A(Vg1}wF?x0}U zj8osQh~KUu;GmT2NRAZEb&3LI@c@r38-`Kddk{ziLfK)-jEnASPSp<^NF%r#f%Xj2 zn$$#xNsspzWCCwe`s@sl!h&?a=!Y6MkKsr~uYR9YrEffxB<_*oEz`ja%3Gss<#s-T z&QFS?v_w}0Se^Gm)N^$YxXV6ukfDFd;>5VjOT5Nvl{UxrS88)X>|I&G7pA|hchH9r z?Kj>Z$C?BTj<(QnEMYD$#qo#S>-M_Ut*|e}9(k)f)YmKz;RZv!JlAceJ?YHXFuer- z!KsE}8*AN!GU(18;#Dx!xhqZfJ#5568|e}*ejnFvgRkI2@4SDwCtwIptdK}6d!1kF zz|%l5Hd|LWzNxOGECAhSL~Pp8y}@7@72HRnzs#dN6{=J8_aNmMtD&(%I^J4qIAb-+ zQpigcb##ebp<)RAieZ6KsONY^gM_DJZ5DMzGyiD~<$u~$!Al|b=HwUfQV}SgAM|}j zwN^%5D;kqXYD!Jme7yRi7iEPkfXr`~uaCNKeVAFirbyZH=w_%aR*kJPZN@p&>&J1i z4paCvHftFIYx)CLm<34#ZPsYsF4=^TQ1gpS_u6par{xvgmy8ZZpqulW;%cB(60Mhr z>@DK=vJV7W+wJx6C4sb0QW=-9wjmZX;-FfuiMXsIs>VzQC^7xoZz;1&s(uG!3@)+@=$Q zBd(HlbBnbM+o|sIFoc)iX?ag;U8TO^JgiEthM$AyS&asG82)0gVGoJP5%%3I6%fcW zk}u{yMQE(%s}!tr**Fu7sT@8Q(G_VSlH_4jay1;Z<)GFV_QTM0{G{1Ue)73s+YRb{Rve(Q(x=koQ01OxZWtU5!}pnprF$mu zc`50);U9F(J!u@_JXcjC?)mnvK2Zjz`A`t6uNtUO2=Um*-!W{!3h(Q&1nA)e^=|eP z!x(2&ghKl_ReQQ$cYEZoYwka$cmnz=lY!#*?{au2OmD{0GlHDMkBhS9plnBV;y8kk z#Mr6W<46t$R8`Si!+Mc9h{XY$=f9Z6*>!*L(q!BdVe-}x>KX4bL}u=x*cp2&HaE={ z)ZsLanb2b z3{PIUksH*~gKTs%v)<9lb{v7W0M+GqW#QK)mh@-(i%faV1s2E@Oh1CXXO@!4z(Y-w zdR@0_yVhG;!DwHSExf}q%jZD4?W9#nbaNN!;K~_;C+40EDRxj3&V6}pWW13tOXTwa zoweI<`~sLv#mV9`%ikrU9t%C zOXIexD&@vcvwjsIBgJT8bv8B`&(&^l11$G-Rp3*uiHR<1%W02E$KZgRKn{vCS^QjL zXgM?x;|e4!Mo%oOL5q2#)qw!^ohhWLQ38B^ntdz2iW)fP9s-+!gEbB+!3kersBm{u z8|iU%#*V_%U~4Wh1Z5&exXnJ#TUZ~d3{H`cl6ZH$=_+T?LsXufAOqU~(_LlpCP`vo zn~WnJOB6u)HQQSY?|3T_!~*}F=m*<9|7ue@;OWy0u$*4YafIhmfO%2Tvc5;?cIEDjbN+zF?=xP0@*IYhZL(ZkrV0(uk5~R!(d0m^b1P$+Ny~H0Xkrca`df zQ#_adLMWVN^HnVdJ1^WA8P%(fh`j8E`ta;Ht4lvpJ1gusJ1BAmG8{y#w5rxNL}Y*>GYk4Y6Md=l&~w^ zYP23H_8tURSO-s)%lw?}1_Fv-whwyXTJMB#S`6%TmZtI!HVS_}Hb*z<6mumR{<1LU z+^b$7<+4Uv)vCRSYuz18WizN<*l)i6CxN;ZOZRsH?K6LjTE&tgHoFTz!-(VV1)nfOj6j*-g#rl_+}znUyzf8B&Zt`%kI@uLY; zrcb6ri+vTQmnzb@y74d27N}5p6n2+*6+NV{Ki3_n=3%_5Wnp_r-)J<_qD3)sSJ4Sz z)m)`o%vOKN#)Rb8U8q0yL^zA;?4nojbr~;@I(9A``T^5R6>OozrZ6Z9dVm&Wr}*7F z5+smP$#V+4$Y{~a`7>b>S=LXLFrCvs7<|z6YY%F7{125q~+L#r}*J4XV`8 z5G5e_BtQ<1w1d%2?a!I`d{10pp2D?$@62!4w{Fwl?%k)VFs{aVTY`0*XYmUwW58RY zbG-p?N;Nrx^v%Sa>su^I#p)V2?_7}1;`>l1)r%0AmS<~P;|>)9M*?NzQ5%2y@!V#W z<8t37xSn?Agi6YP1@fEPF<8(+P$okU?yn&f7rRiK6?~2baJ}=Rj zWtS3^!H`?@wJvK{I7^d88y{+?_SEy;PW}5k_9!8=G`jv%|F4PMK9a=aUw2V0slUA* z;|Vx*7ID;b_aavCX1_xMMIz*{Mwh7`s3WX3snxto$=hfUYdqXQvG^1=Ka=d|26?;N zpl|%hWJvMl#Rs1}^G%~O@H8UO&I9rFB0n@?zsgeE;)ceiFT4l4{Qu>0?rDTSnBSJ192a-F1!i*)TQDD3K4 z9vJYJqP4z0-$crx{dU)w0wp!&<5`!#3E1M@6xeM*aDOLMW7H9LB^er*NYk=@ z@>R_?>kB&Xb1Qae7yiYhU0inY;n`RA*HB_Sml~(p)=7>-yMVa@U+)x3ztu+N!M@UW zxHzAnZ-{=`5MvyC#c&N*$OIZd_}I_jkNoysLDGEx{){3?|Q7 zWl_0cX972wP{=Rt-Qj}I6HRb@7o{-C$vwQ710JLdoQLa))nkE2ws?l5$9Y_4mAWho zC8Ty`_tU_sYxDyg!{j|9@ux2Z*xdbh6I?CA+RiDit&j9kpoOyoNB`1*xO+h5ZzAI4 zHzbB#VlE7Z-g|lA_rjOAzNjan8BSV4Ar>vNmq9W{j}xZ22D?kI%8dLsvxG}dAJ2oJ zo)_M2v-1Nk{iGyA_*(ri{olN2-*O_Te;ZXJc4^U#A9Z)Tck!4j8}h!wum~soMoxC> zno39uE^-3fru7u64(*L?h$f;q#CDjfg5|jEgelv@n}j^`!}hA$Z0>2F?H=JmeC4=d zEUb?v)WNxf7=e)P6wwX9x{d2%8PIM&%)FW^r%n4KoV=>mS46nqHXeDw^gu#F!D!K4 zP6XS*f9>kZwARpA#Ef_^M4YD~MO9i85|bG^!|Gl284RU#gxY8hLOZpwqBJVe7_*;f zLYT&G$ot;Ua_Xw`M@y<3JRvH;p90#6FV)~Gft%SLNy@HqH;n2gDgq(Pr zT|Hrgfv7VJdx9mJW%h{!@A>?T)ExODRWy_31M@Y!2vKlkj-g}CR;S^u3Iu=X6x~Y) z6FiB!B~P`zPEcaS`WT8RpM({f_kH|5DP?Q>r{OjJm&Pjt0gqMH<2E_b%8O7uOG;Cq z7#uH6m)kO{zy@PT4f5~FR-@cyvpjyNQ)!yFqZ@8aD4#k3)C+%lcp;K{ZRd^HMfTJE zEr^G`h}O64a26sCKLVUYynV2VY>5$io&|^UcI;5s~EC{=X}im3y$PI}E*2 zFdh~6!31+kIY0#D?`ZLUsZ|^?e!6W-*Q!guW;cgw!$CqRlr_k4T7M#YE`zm!KSXow zZym)#VF-uikjCSqyUC68)?2xALx>M)+i+6^1e77)-!fVq9DX_gz3_WCK(B*}Oz_Wz z;2LBy!7MdNX)-cVC_IM$c)6|)m{V1~%duiibAjikzu23o%a%`kB$~S^9UdJB9IHuN zpSHnFt}&wP39;EUB9>!INMa5~qliOyAn9E&2q-ZLsi*%)DXTQp|8n1Q*J-Yjq=C@vgT|z^3D4Y$lvXf29()Jyb2T1BB6&aHcTs9HB zy{yZI5YCGjOtVp}T}YCTD{fBIw--HYuXz;0!+ss)+FBl z*h0N$DGbOr@)c%tu=Ri&T_9LxaD(=`Ur`Wv7<-N zuhvxXvwt6vxZMrm^&H8zEh7g{yop-$1F%#Ef$GsU26;E((4=5cWcq%OS_!W%yZy_WIGi=CjnPdk_I`p0^2=KPtTc=>EcD@##k)c6BPjpq+pA zse^2#8e*Ao6?zNz%J1X4Bs{D(Dr#}29JRuT?K*tUaTcVS+!v%W>HC90i`RZfK@ z+6wsE$-}E>3sA2DB0Wm634L>>Dfud&uJdb~Lb|wJVeAX>6LXQI{Y+W@BJVh}Ce>Az zI%1%o9xLA`nUF(wWthHRV|XF6qr(x&QSWg*xUqs!h+-n>ziY>%*i7jhf|+8;jtEh@ z;0{Z7xwrW#rb^O#iXPq@Se4y&4pNm5KOM~_r3R3N$)!^f2Cg6 zT0zSH(8LMw#k}35sl~fvV#-um{ZpbwGfw-)`+7IMu}dbc&Idm0x&6Qn#^Zy`zL^mI zb}ddIz*e_};rE!*N?!~FuY|x9dOoXuY*La=*OW# zC)Ze{)$?cTGVltXZIaA9@%eBCKDn*@J6xY`5IVOyDrV;K>meuKljPx&moLma)&MEe0QAb74KxTJ)dSKdKPAv<>Cfe+Uxl*i5Ew>h~t1-o!iwwBh2f z4~y#@_Iv5h1l_+&aF%VwO>R@x>sQVR#&1OQKH2Fn^WguMtjzKtH6YArly_XV3 z>%RdoKK4M}K91E^uFau=on}WrhAU5Yhu9Od<%{z%{I114eCRL~@{kXIwE+)4KTvG( zcb*5Afe)y7oPz}Ti7}ocPgbek_c-l7i$D9Up1Yc7hfUYHE}?+VHNzPjLKxb{vabXT zA}+^irH~bPQdL_jc}0wz{gF++1w&1l{U)9bZd0bsOh5%UaCHiJT8CgW_`yj)hsAkLG%W5;IUa0Q%et{kwmunuzaM zrlUhvIe#b;)u{SAHjzw=;}$-a)~ry~audhABY}oRF65#PbzvzRt)!sR6$YyxA;pQl z1^4HUO10dQMcsiPnl=GE_f?z(YMrb$b?NC)B-}AFBX3_Nv?5z!CykWXk^Q)x`K;Bw z|(O9Zrmhf|in5a3TfcCV@|4_c=8y~aO4owcz8&}2#7CFwH? zWusJwWdGD*I|thtL628nb>b*GDA2DNa937ftK9HH?n^wEDkQ%K2`FNDd9!h9*q7^n zY_E7aSy?AjRYF)>Z}Fy~1@R-SbQU?j5iiBtwLSPmrh{YXCNUjM(qy1n1<%F=67f}Q zObPj{@_q+3Vdzg8BoF2^R@o{dTP9(clsGYDPNtO_Q;;}iMIvdBOm0b5(gx?RPQ&NmlR{IX!1s_WYgO?{@cihD5pScj~~ z9YL>ed(cOQ*Dq;3tBs>z8Di+t)SY19F}#4Nl!=bLKlZreETjU|Sd%|`4~!wN7-J~K z`=&38`89`Ae~D4Bhb6ywPxx3kWCE?UG6#Df_-ml)8>h!i1!8MGrG}j;4U*s=rw7AG z?K=G?I8r`$0(f%WR0s$`gslJtXx;gP+*2RfJ%RQ>l|6q0Y3&p51dTF|8Pc=+%cUJd zED}<9+jh*6m{lg#v7@ZuL&Eg(3XbzYy?75ntu9JbwsBGN*$#usKRv?JOR9t%R2lk( zngxlkMJOz#$#WAJ#G& zwODXoxG_8{psxSZQdHL=AJ-b(vPeM^$?0#< zl(ZL#@_VW;e}~WF$O-4ifs)Cf`@n>*Nuq`({_pK^-}<;?UR|f{nxrm+*jheo z9koa-hf=uuCyEkA2gmXUz(Wp{wHy`s?yKQgys*=4$E|s8a4{zM$1SWA><9=Z^5;xE zQHI zyrlv)R{`nRwvwH{ZH8FS;(F|wS&d7Hr+?12AZ@`f>Kv@9c!}}ON4VLZajhC^@3I*D z4osW!o?THS?OH%;*A33)U=rDhF0*F6H1Ak@& zi0jDR#axzsd+|-9h z=N>~b-C__)E{kmwY1Iy{W{V)_v2L)M{5 z{w>TF0`Yv5GIcWXSoy4@;G&jnIiT$|r+0u?j%SX^(;o#wK%;r4?3d4Fi5ES(mo~kl ziNBjgYXIxHSD}5c43A}n1=Z2`&HdqK)Tg~=N|Gt*)0ET2ENnfFB3h6{p;(?*gP&#+Uf$K^1-3KRn zfF{>;iPT%JVv9h8)e`DfsU??HL6c~4QV{Yiv00ykX2|{z8p+6oZHot+yK8*83FWW{ zgEB44dv-T<`$c(c>#m<&<(W^DtE2N6DRxO}sxcWHwu=hZY7v<6!Y-B)E3T5u(+sys zijEc!IejKwMHuftPDvM>hUX=Ce^J4z;#;E^lHol;Z>4aFXLX{S-rr9Zh%{c?5`)Mi z0OaBkN{}hK6kDt~cjWr|aTT>&k#CWszLDVmmNFpHl1@Gt^5~>`qv|MHc9zAexq|ms~KF+F4>g?h=G3 zgbzvqncWlC&;zO^jHyeI8b`kyAfI@DV{a`BZ(}cZQ_BY7li~3Ty3UCZE=dl(STeav zz*@-wxg{F(VNE<3Q3~tBb43whI9H2D(OM@rn}MM$Z(e>wb~9u=DRps5PMFCpzN>hY zWWm@cpEF;Gt`VmKT3bd8$0Z30_P3?w2rhj$!ur~mx;;mpn9Z*Rnf=7tOO4mqw=L%i zS)GAW;Xf=VF3n%2rk_J#yrJhmVSM^DVBhm9#Gvf?iTU`rhbfHWmX_UX)_`iR`Sh)20mE`NlQiy1$jn+KE`tWZ`mZTI|n6sIE)T8d?x+ zAse;E`Xr7^Bz1a}9o{-FXr@KA?IFS7Gd#niDDG~FI3~D-8Q4QPmfA_5x#gKJlk2da zUZKIsfv!fJQ~B`O>ZEV-t|mr^Z5f60U&6MlBohcca&o%0`5e0Hj;H@tivNdndEX_3 zXJ1qIZCj!WR-)|o1JlPPq_|LV@$3xzAPabT`p0v^8L;byM2TyHGRL`C*sC+PKD_;|X@V+C!Z}uAB70=cw zUoL+yH6Xqe*xB>;iCgFeS+=Kk|3W0*!oO-6i#{1Et|tn%+8l|5*XGxFmn?0ilX800 z^rAoHv^60X6HM+#6!k*^mSd_ce{_o(5MjwGPM1S2^pL&}CqI)Ml8{lGvi2G-(?3uo zVE4qT4Bkli!M3hlMy4~+0*Nj6lR9VZ{HUeVXAeZOvc-^$6{;VM0H~WUfiXUxR+H!< zvX5L+0xCqD?A3O$p-j%v4;I~CsFa(k_&Gm`ltX#9N5B8Ymh&_cRzXm|!_+hTW4^{F z{&5m}n(Gl^9g<~LWF>QVV8c&-4qi(Gw^$S!N+W6q9-t8PO7kbQ?1hU2&ssiDCRrXg zQJMaZZlx_4{{037T$z;8tuO^r`hvNj(B-gX_q<8Yz~FOcDg-K}Z_(ZU6l}2mnyBcq zOYbct*Q1p>Gv*aWfV^E{AX#Y-8ImV$m6xW#{JtK0LOCD}+Mt>nNNe>%~9!@U!O7|BDvOtxCIToRacu$TOS5}NV1=vSe z$_I@7Sw9|Apc!}w87SpmXU+=S!4y=)Xao3xrob%(U zU~lVjEJf#M7&%79`-WQCgs!OFM#4$Qlm1o#yG+(iZuoB7vKfF!0Lghr2LsHvy|`#H zYM+Z1OEb@7xiLJ)Xk;5@+uf&e*Ah*PXl&kT%=NI*rmxDqo4DeI7s8ChA^-u)>z5OMc~4S0f6g42-GTZP-uUdz{EZDlUdpvBO}9 zQsDvtYF!orFy7w`!~@+Bzg(MS9)CzYCgR zP)Ye-q&b{S+|T&Lg)A0U0IXURn;y#BFgFH}SYd00v(9+H@wxB^C+AW)^h-)3o}2VI zxQ=sCY0fzkTlc>MZ{!jzw?AydY$s*vx>@aL70XM_@A*J)kx>HVBvaCvS1N7hMCKd^V4`e)<-ar`=pQ=F5!ZZ_`dyuFdc2S^PovAhgJNGm=$5II>x7YqN|ma5`#r^t8tJ z^U>?JcDJOP1>Im?-ntDI;YGTuc$BFZ3vJh=IzbuZ}3wPT;U7;gRj%RlfA7Qd|-7Zdu-T-HLdu9f3`WkcSvB5_p% zEqI|R`_x<-#3jL@ax1vym<+6vTm~g=%D*=uGK;zUY9%U$0{#sY9PbiAnV9Fhf|+m! zHvNRZfhDmjRPqm-$Fx*vic&y1J>#G;#jo;DJqzZvC-Y zX${C9;06fZyrD<7Ml_!(1Ue0-i1S_nz2hyCrjT^b_iG!>`>i>Oh_jBJGIcvQ6Pi%+ znVD9HDBw8`V~3Igy=)$`+g8ligA=g;UV0I>n|!+gjmZMnp3Ka#rTz>ZTUxJQ z+=~d3leCPT6Uvu`x2GAm-0FG?8tI_)4*+I5yL}s*?%5%r2cy|sL$awm#UV6OL#AQy zE6J0|0uc;RC(X7H;-r!zxkdHo9p911cQFJNrM*0StbpPouwHXCfh1~->wt3QLMu^b z9Z2lYSk$2@k~Omd43LH3J{Oy^O#niPI0oMB+Z@OW^FsC$Z0J;sc`W_m!aZdIBl_|` zr6J0BPfP5mBrQzkx1{=ARuNrlTCE|81 zUs;@SRtRL+9diyySA#c2?-+$Oh0&;{Y}TzLeAd|f&cv^#MP4Mv#YVc3(8}s(rrRnS zn)k!acx-Luh5!@m`yFMsE0Sx*E0|mg6{xBmNCJ30tA;Sc|9PhuxCSl9e_U47oDR>L z;`&&gN>Z|m&XS!5I)lM?@v`>JkB*K3RbF06C}@1{W30-lg0P*ZJBzpg2EC_ELwbp= zzA3|ak``-Oj`wY%m`tgRMyGp++(sV1n*WOoAN-ozV--3v(4PyljukR}>M#8al z@o~(0fttsj333z&J)`U{azq%5u^_y2-6HMs26F8dHP{)`#mQ;9-4MFy<^Qvz5HusV z|8CCxivv*beS1pr9U1oa^VH?AwSVf!;W?g2;Md)^f>?z=FRd05d+es<-!3VJy(Fdp z@2b(V@qY_pHf&DdBru4i(6TQ;hqsCE3DwL%6-VJF!0JIb)_qoI%cwqvMA%Su)Js>$ zYFwmpQTalD)}Z>IV1dM^RU#c$Y)yP6XW3@qVnN`K&?8dp1=rYa3xtN4wVP3f>H+5a zBi{W7L8+cz2?%T8FHk5KWz-m9A775q zJ;EX~U{Uc(%My9jGI$iWK9bDq18Y*^Dveqk6Ziky4avb!2&wfc>ve{{SdG&PKw|L# z?e^)eaE#@6*wTp;#6s%VV>z&lAL1U@__%Mgw-R-|u9OGG^e)M+p3_jm+qmH38;Puz z)b5*dA6c`dNPqk6*t{JR`8QuZRr$@(qV-A|eTXb7H^{{k5#=N~@kCbo56 zI8Fjj2|M}^hY!4vx6SE2X+O+W&;iN9yIiTlu*K~jaqx*FurC7NFIoc#>p#=haTVQB z&1-5)X9t`cg_wbj@c9VKnw-&$G<2Je=E^y%fyO)|t%rhZ?2eQGH#R!40n&V){UX-( z5O$fs8KDujPzp$KmmSwt_q`XYQ`}Ah`|Xp=a4<1kaX#RxGYN zn{M*&iQZC|sO|$B{t@njkk~i4jYr}qzj`EyNf&Qw3~D7{;6PTVh*c+;KTAL&C>7<| z^EkvRhRZ}fTS=}4>tL9AZzG(>mYw8Bsqf_JDbl1)6^Mf8;{~VCKYzA))m827>Kci) zFowy0VsG~lVwlYFXK$YOo)LIil8z#ZawQ2vhsMa=XU~cMAr=wW%YFwa3!O#PD|gTdCtC~N7*%>Kx!F`e z!%dcY{vTN~7HTCPrad!(RYAvjg045Eo!~qM5cfHMo~250ku4A zU5(fyTZ9~4ERn1^p^eD>R=4jO;F6R&e;R6dqCJdo+thNfc+(9P^*@&#=;3}FG} zRC?0+C44Bg`ZE$P_Q#HW;M?Vb)?R(-$~T#^_FjKZ^g;pN`Pn*UQT2^VWaf7R_-I|H zVP7M4JU9R1e=l00lub){;u239iuN>#=pQoQeW<52Ue(PS8#)_l{C-}#BWszAp=Hjn z)5k9^bb=)ITpMyhb-C~V9AKp0Et)a?q4GQ(Kdmo$;*oC?KQB?1rK@)V5U9MR=}6%5 z*eTyH8=3rzH6>jGsa{mh&m@q<#vB;W>m-GlW>bb+`6Wqcxhw+1)4mkoE742F)&TM_ zH2=|+T>xsP;YGKggKYdifM>Q~`X%$!;*KXt1@gh9a{hd zn}wL=t&?a*)8&#^MC3%evGDj3r7mH<0JZ4el1Rn$O!Hx-8kP0S<*(wuvx>uFrVv1OIv~6&s29Afm9p&VgdqW2_ zz4CBy7YS0swGdIw=ODQJ(d{%=9#eLraUAZ`d|5QfjsLsX!XrpAfRfS8LY%}>BVK#yb zJ(>7@HQz(OCHflqGffou+a%ux@I5q1ClI~yASN;@#&y|~{WAbS@ko0LY3q6B{{9NQ zj&moD%84~b>CcdmY;;HGg}hxw&EgbAlJO9E*WCN}#k_9dKRo639-vdOxGm*8=QObw zR)MIUDU7i1o=uk&^F1c~zqSb$X__r2&&B0M&RkeoSOZO;okAlF$9;#E16>OSXE6Z{ z=s+*sGf*68to^N3=X5D&F^q~Ei9yxQ5i1} z{Q#j&k)>H6`0a;*>cHi|`XxS74v!r1H%El-j1Y-iKsxK0mkb&=XIKz$ai7|!kH$GygK!s#Vsf^$_jZ3w zAl~42kJ|w|LpK^2O@UCGVP&#H`4^zm^KR}OLi0cu)w)=?MVW}?+7g7$v%C&W>%ecA zQVb}#Li@QCIjE$%MWpFdj6b9=KC=2=H+A28cb@aCInE|MH=D%#syX&|ShSf~>tH0k zXyD2mP}m(tm@C9Box(JUqKeJoDgG-YWg0lt-N#%Ux$3bZTUDav??{M1<9B^|IIVWT z`U_G1@ft_+`fzV*Og6^~ZxJtyK!X=ajl|jC>!A#fF&UEn+A%n|7tj9)2nd|*Bu3IX z*^Pnn*$lMYF+2r9%&&kH6*zkWOK^6_2<_2_x(dPZu)$s|xI2Y7es|8WKBwlw_3b+X z8xUvl*V!%rU_hV0cztBlWf0I!Sz0>*{ZppsHmLvum6U!Q{10*wyg2D!K_opJ%}enX zgj~&Y_YOy9O}aH2osS~_=;Pu!>3=u(BsteQfQ#CVQBrBCN*ZeuqHK%Iie9ampB+BzT}u}gCu9wZ%V1y6B>Jx z!_?>NSMIW-9&XOOCgfLSdz>@>`?E z){8)YlK^%cNVW4DA?{ld#CUh-qWoZT65N2a8gz~RrC^k^kDcmPTl%9ael7}=ktOkX z)h_}NNcw5($&Y0#^YrP~I}S{{Uovx5enZ_VKKps?c}f1EODF3x8E8ya4BelI-yvqZ zW|L3$NhKj%#NRs^#BVQA;EcSYf+g!&g-E}%@i%2E9wu_z3Q;wM62+GXKc0niORARG&utUwJJIKG` zmogeF%j4pSxwg5h;Yna2NAQ z>!0ruVO@oa){O#an#bQlP_@Rec`pZ2lz3>?lTH+fF|K@pn6;^*>jC{OZQ%d!%DYiC zn(Q}s&NN+p2n8rz1tfcY3vK|rmLtanO+g`r&Ocw78>)>={yyKVv{vg_#V3rZBmJR$I^ z-h!HBYE^Ieao7EGo2~w~h0nM4R04ippru4`vr}a(X$cH943%U5)_ed)dWTpi<7sC~ z(>2MMIt{UL-6Ck&uq=KFKYRf?=t|DoRWY`b-#(S76Zib<5$)5HC;crI1AOrZMat!}rS8i9Pi#SG{Z+ zvH}lJ&MtKaDHY3p@>D`70GMmM5KztqD?b}L?8$TDm(JdJ@K)0esduv&!r6H0)l!R^iS=`}5l-ZCt5%F0C#*Kna= zBUP9k3Ex*-U()e|A;N8h0?I^ay07)L`1sY#dEUkyF8%(`+KrnRzkbbG=|TIT(!#|t zHF#A9x3|lGMzwRP*&>4YANjjf&Q@^XcIgQ-XG`S15H5&YPgLC}(M2&!TRfx$8()Sf zkRfAv2{3=MgkRKOb#3l}XDh{XwCAEX@8j4Kw2=YGSiq|R^0dxFAYsC{ zFKGz=JYP*Nd!xWFN{^?2yajca^LJW1juKXRC{$|MIn~yXc)S5w0O4wiwEMr>Lc66s zUZCpm;(_R(tW3oVh#QXB(pD=SIRMnr1Z!a_uN;7I)Rdy%hoSUfcCpW$2<4t`Vwx3`pahOubZ6P zv957qvL$!<+bP76l}kNKZ#?+%geW}Cp)gt^H>53O^ID1M=Ct39jfQt|N^k{`SQs9z zt)J;4kk+8H5Kb5fN?DQh7L)o4OMRToU^xS3H6brYeKBPuaK{J>uK)w{7#pdv?lQ%S z@bx!Y=AGOk!7p6T_<_`#(PRfjr>>URL=oI~-N3nmQIUtN2>{i;wA&5gPPX z=OyBSo>ogL0j>0?rWcI59*#@^N2Q=s4RuOHo2tP&*6f=68UxD-@Aw-j^`#^wk!Y70 z(TP>^>A7e3w$&g8^hZu7mNAM4_2L5{>+VE8w0k#!I2nQR5a zh##3R|Jx>8u+v`o_if}Xp>iat=gX<783|H%nhky;5{K(iiqf8khCGu{Mgl4xyn2nha;#JCTRd zm$kYalQ);vZFk;G3qM}YZra<5H4-vf3q_e|1h1V=2p%u!8Z$;f3&2jo^r_)>QQ=4uk1*J}|?Vkzb^|9*B{(Vc4lreI3RY5B@7esxg ze)nw#J!vNLNF(bm2f3#W*~}h3qO(t4JQLm~2XSvyUEVr7^$s$}x#*}Kw$a=moEBA0 zmt4@=vj%TtE(&rSBTeL2CJ_h^qK8kjw`}FbMkm8X$xu(Np0Ik?-&~qelloeLKpkuj zeD92Okc>HPHmr)!5T+21?A{6>(PBauL)lGWFt3eoSKh*~%t=9Bv@P?CYh_;XOO)bx zi!T@bGN%Yzkw2t&?rm(3SCmq{q6aqgJ04C!?E6QQf(yO(&evs1A3YSqVfTJU%W_|x zQ*;!csGVhTCFNv<7t4JMEH@i!KDDtLtwnq*k4ei&h7)}CVE>!ZH7I{u33+1{AHKB5 z@ENFB=aindDoZ!xtbCkB$N_6@>+S95LM?d-;F9u(Utm`VTlht=Nh@HS0?47-)@wFY z8E}QLKhOQLTU&B?#D$4QT3L#O01fDZO&@xRe!cCQ?owjMeA0IEi_uq-_~%DktH**2 zN9-i`oUFMBDEo9E5Azyt8-(LaQY?>@K_X+gvv=RceA*D#fK;ISxq`X}d}weBt#sH; z)A}L9zvI~>#;GX9wE!0;7R-C%zfF?)Bc!G3AsL1e>>(QQAQ=t(W&ik%+W|=NCwJCB z5sA^XCRg`?SmElK>I>ZvYa+{U#V(BEr;@yK?}TWnjMu%2=6=q~1#KGPKH_WIZ3k?+ zGv#tWX(T%UL%p1$Rhl+x2qKuiLZ~U^e2e5ySj~85+h-06w6Slo>#4jZ9RtLLMy+6@ z>CTnWtoNzti>NaXkR5@&TeRZKUtK{Tu*9-fxcp1_OHpjPrchicTgHs*?0PEE4mNpv zv`S;qMsUnjYKKk%$t+IyQq<~G^~Clvf2)bs@$pz>*C5(uhfuo;c*e$XyM(Prjeq*P z@duma942%ePog9`_{^b2cCr{9`A_JZJI4b z3UylK>%PBIV``{z{Nw_FOJ`5OU|PWOz{BYOiN_65?n8)!i7WJ*ov?uQnq&yy@Cr^s zV*(ixY?Q!=Pyo-Jf|zmbi&A0T?V;_TD(&uPk-(g$e|e8@UMy;Z*WI!S2LAKA=NS^h_` znAqtr6;|0=I`q{0pMM5~58D&E{5*Wfd75~J0|wB7*pIuP-qPJs^D;-^g8TN#IXib= z;xYXvj`wB`@<~ynuHRvGY1k*I`e?;9>q*PBdupt4Cs6P>3MoUxqnf606~k_1uSObp z(2s4k2pxi_U$X^I^&qr#K{l3B4HAbbAJA5VBk;fi87K)=Ut`Kwme%BDlKCBHxXBso zUU1Pu9lVDqHy*GzZ_1lUyAY&rI4OIt0Gy~<@0x15ly8}1K%%+W2nC~^4O?ijBB|8N zMxZaA!RNuuTS|vAYIzsx!*TP!mU1qAUCps8%jGj>TE*b#;F;vUu2Xzh7&7J7S2)A| z+6<1A`+2?kAXZHZ?#FXufJo`h$L)!oC#k*#*bt3Z05&!ma#zSTs(S1#ciRpcL#Flw~gb5^-ZKi#= z<>5tkAVq!+U1nTe1Xw^(@ibdD7XFC%h~TcBVi`rVr~pgXO9^$X>6^-1*(*vx?J1#W zr=p7RE1gsBAoCh?c3LlRuyWmcbh@gW{dR|AlYe+c0f>czfT%UGX7)U{gxfEhlU&u7nBp;lX|9 zwBYw%*2bQD;yesYeWI{lrrx6#mBw>={7mK}jCmQbfpLzF?gEH}R+J|fu}7Nj6B2Ej zVD787&F%`G@uqWS-Ajh&cC6*vn7k$E#T`X41OQMRc=tO zZ|$mJTx9!a%d63y$nD_5D}4?D*ncrwFJMiHX2*nv(ACyjG27(6##)N?;K%`GDrh)P zk!-Wq>)M)+3%C8gs7yOlcxP%Jd+8toejonwH#aOw z?XT?kpjGNGXaYCNsb-mV@s=4iLae2?dd9YaKc&#XzGJ7MaBtYu%wub&TW>>VYUSoX!0ie%? zQYIA{jPmFoAg*pJR`H!@`jPxQ*?a`j6@VXu?V&7J36Lmf&4x>NDrsOxpRSh#1E<%( zx53=Oo}nS=MQGeD!CLdFFl<&Ole8!@mOBLaup@jVgG^((8_Aig@SbLD+S#SWB><^W zlH$dDjW_6-_tr=E5e|oKlX1`_N_Zr#tisKOD{l01<@IG4u$HErJCX0b6~(6`wMyEI zK!m@rR;LnF#RJ0Jffd5@bNt0U(|mTGp>Q7h0PECU;|!dFGwVkKUJ!#2)lUJ~L~pdp zhok~k7}aRR-uzF{XH-t7ZYY%X{h(_9uluyNryhnyi-bxc;?1jmJ}c6lsh)2iPIrUt z;H9ORJCh93TVQ{kzIFOyUc1RkL)p!z2CI*({#NuK)G35CAP^yU+1e+Y<%(=cp4hR8kHT8W93=^qRl+~to!F+Rd(FO7wA;iIhb(z6if+iw4kUk1aQXXg2On7Gk~TGi#%00H8X|s*vA>ESxd@~8U}r!v}PpE{@iS2 zTy4!`Kloa>GoP%aX=J9Bcl8_()8bdzK)h=!lp{&b!XxV=kK+`4eW&lWqn=8uqw`V* zbH^9k9tSJG1meN^)SvIkohRJ*5BbnSJ54Mnvl}~j@X%9 zQw?G73q@I5K_0YB^^av{+?j=FG)$7G-s$+bnHp1@n-TSVP&S?k@EA`_w_j34r}24I(I+Jy`dagjppMJg56D_?MmS^W01{8?=vLg8*6tG zK}NFA+zkAK^gUqeNI-(<*QoFaiF)iC`QKM&Hsfr1uOSj*nOT}Nc*B`AUeX@yzZ)YL zT!-dfd{1Cz)X2E`?a5FUP;K2v>%thXh;t(Kw^d|$l2XNf>rHv!HVL!0#`a;#SwS2R zt!8mQAmt$y@}3i7!g`l9RTZNwHM=mE5K=SFz(=14#E*C#!f16Tc27jLv}&a*=lC~Q znkhRs+p)Qaa7!&c(6csP-i8Dx0Yc5G(>S3(% zCGNW6oh-`gh5y&UA_ar7E3()z&Z-y{$2o~aw@ZRT2e{g-x z!e{@Hez6@72iV=txl+o>3WvZH095nW%Z zmd|Z_9Pd<*`9x>#wVNlU@;j@X8X?Grk2hT)r6Z)P{C~QEy z23TwK1B#T{p%N&TJgA4xXBJT-!sL?us^@;Be#Km<7kv_B)7ToPljL)M$kQ@6=+pu` zE1Vs3>|ub(WXxkQCEt}G4R|a;L=T%g{SVqKOM%src7BX$xE@Z*J2T~t5P`V{R56FZ zsnBX*BMkc^uUSsV2l^o=?-O~4IL8~npDB{NaIy*3CcR0F`8Gh0cbA8gl;32!mp=DzCVGgwIDr6 zbbMo)ODIk-D9LkV;og3JV$uO{tl;thASxK~#0^y5BWPt{)>u|f%~bn5{}38tn+gWv zUqTwGwzKXm^I@9Ovgyf~fT@Zn)lrOh)!8OlHO9Q#(Q=o1a*w!Wt?yo+LFZG$EhAvW zcvG0^8hbqyI|X&wqR|{Cp<)-|;U|q=($iQJ<6T#famk0$ute^S zH|)Kv1nBoW;^~!2AIkW9*Z&J-@#y0+TgoVWOqhQHn0yLFdC z#1>SIVM;bM3UCv?ke{tf$IHGF^fGQ_1+n6?8)v~>XaFx2k znhh`Cm2fz<_}qgtV`D#Zdh?e7;HDX|m-4KIiidvP+Rk^=#8X=1cCQk87(wj6x`7|K%|jwHbow;!3dtA zft`2YEg=GZcVhOYv7Pm(2!?LA((~plt~yy^eXwt z^C>D;|NKx@auSlYC`_q7szdVc z#z4va@#_LO-u#1#s;+{M+WEmMxvPh@!?vjx1t8!&yNdoIXJJ&FnxZad{@!mol$$EX}d)RKwyJst%xtwK9J=LW)B4_HD`a+H?BMd&qp^tIu8py^*@%6cJ;=cAR z;jzn#qMmY*N-wt1)b+EYfpk)AkwenVFnD10Wz$bENCrCk5W7ZbJC-I|euZP6RXTiI zw04p7C=G#6liwX)FZ}n9!MKjm>_EMF_l2&0_HLgoHWsZAiFEvxL}AC~1nLR1t`G7y zfB?6y1hgaw+P<`&O}U~tBbM_2keBcAtfM8vDPQw;IM;#swK@tUK}`NtXY>L}UDe^h zW^TzqD#yL1Y`SgNNP{D0L#caWRzEX+#xh3Rws~k8Z~tE_N`16pIpQB+m%7-$f2@`8 zf(Z)$Nu)-4@e_+cOaB+DF&kihy2R8Z-|KxI)0I8=MCw2otKYdf^ZJ(mfkBm1DyMUb zQ)7QBTeFi?2|P=tlpMX2)#a!p4t@x)rIFf_CWvGB>Q}vDpicU~visld9q0q{+UJ0X zW~(dSP2XwoCmF%;Gcl#BLJ9Q7*_0wS4qZt}8@OiTz|(f!$$`&uBB zJ$UM8h^(i#JdY}E))%b}Gmr~6W6_{)D60ev%uA$XTEUHi zJXDm-Bm(fz))t^92d(VE2a7A)1HQ>E0dyOcZt~Q5vVxk9dGA1L*mEPJ;u)~tq=&g< z$OA~3J%$lm66W$6Oh=L!riGKcg_+WiA^7 zq4~nYYW#CrjT8591>kUf?{ezYocxq?9hrd_t?x1T_<>=ZWN?#UhsORO46xX06nHcu zTu;!x;E;!$pPHw`P??|5!2sp~nx(g*<5!z%A(WU*(Qm25h$8WP5V011Ot7XL z0Wrh+|Ah?4hrC-zBA!olArjh%V6L=1?H_1(lC2vWJ8ez@&<#+r>u-Z~p+qw_jjGEr z`73VgAST+c$@WRy{aFy8q6a0EiUxD|pTu&P*ze*yaS=ckz6eXFXci|IVsc0n3cx+SIGP+EM-C71b-^ zNu>I83zOyKS)W=sUzQ3wXbx|qGKA6Z@_A}4b^R?~gD0AEXJ@B=WNSwl!`dTTKSDOyPLP2f@F^8N? z{=p9N+h!JmXj)4Aa0R=}(4;@$xvW`f2Nq~o*Ql=GDHoT+gcckID=gGr&;8)E4WzV( zgya2{?L+7wc#+b%rm%Hm*BtE~l-H-cyL+nY9lNHY3xXHqcZW9aY(tWs6RNS)3^zou zDhRGtwhc|YX1Dp-P6#s?2zAR6mm$XTZ^f`O=;E`;`0t>ynjF9gFo1WtF-%!Y#@gYU_yB)`)E1JXqXvy4}CxcAi&#ln-k~~OoF?7!XWS!Zy!sLG9o|NYeX1w7$)|3vT=pR$AVOI2={SD zY(d~o`6J8uG`dln5TSH4!SKm^$Q056;>Pv$k_#2NTDvmVPy6FXhSEaBz6#NE892Y| z`luM`(h2y@U!lbtlO1wgpSv&gp6I)L1uwf z2}1{ODM8^VM92;pPUYXroMX=G7aaStA2S_114YOWcFvjCB?nV{9A8@KY;^}lAG#6h6lA1>JHhI9aim8LulrQjj2&8 zEo=L^$~Ms@hHnRmxi}A-$8P__8cTmrj#M=q;i~kP^BqCY(#;`&{M!c2@EnB0Q}grt zc`i8B9B<*BL#uIMRYSjCe#C(FqjRNHF3w=$pc^d(aNW($(GFT>Zwz0S7pBi<%xQI zYDH=8l3crFnI*?|ANm)>3cG^xhTN0-;>C8=!w7d{aTNe854-uiG9-ToFPkH$^0i5iEOfh?3d{R+%w*mp0bW%lnAVOvc@YhS5^TCF^04nB zF@`LW5C;@*uRB*fO1a4N@Ex7@LnrQ&$cwr|&u~u{y}|kd3*D^?E%ZMEyuqQ!uFHJ1 zHM*Z;qW55m7~}=0ZFQ=buo%CLY(iAO90h;10o{c$Y@)X>Q{yc0Zs}e&r*MBiv=voN zI0x1vkO+l_#D5_Th|xP7_!3O^mb5oyFLWlGr)X=VG)`|-=+5FZ>(0mYf8=jn8r7^x zTquyAl>8|8`MEj5CI6UUVl&N86eoEOs$Xy$Z-BeaH5z}H_UUr$P6Prysw9oH7@KL> zlV@A`q79zqmF^GTsMOj}bSv~bE!cPrMNM#c#;-krjKG!2M8!>Yk4reJVTzypkh>Jd zsun0`1Tk&h2r)$rg8-Z_C-9*qycfC^D`&$x38}YKJ@-_$D|mryMa0T}jB@)=kyL~` zbapbTHwYh%6?eWs+HW4)yQ0lKeo8_SxnJP2+Axc8wxE|PT*Kw#J0JDAXF zRRc9y}-NWf%5`Q9Y{X|IadQ zfzT#9%89TBf|A<`gJSv<1%syz4ncqtoNsIvxFpQu61vFGVtt15?^{j=b;BdM8Xr6g z2)a9|_PH@PhNtrd?pwI@9Gjh#Z3fMvcOmf$>M$Q;8OvPX7BXvUSs+?f18g%w_m2w;eK>X6$4WK_f~tKf0rqv~zJ9aXjI3zXWksXPZ!buTzQ z=~tzjYZHj`zWOn(x2WAlR-9M=Bek+Jb_lc}UQXw-j)6mC%Ji@xxR{All>eP^0)Tc* znJKa0_ioq0V1Ho=L)8po*<(f9B^vESpJ$A3dg$)hDRrejJj?@=QBKWPrP4Huy<-lG zZ%D`QHxV)JcRw0n;zXO`o=NFN9pI&jO5p>p-`koi=bdU|tBGbI3Ic5tXrhXvXVZqB;uh&Ybp$YZWVA;WU7*xM`FF zRwHI4)lo&8xym9o+e9+zV8dBQM)BLr(PN~iQH!Wzafw*-8|bsIF@0;9Uu6N#QkMhx zli3w#{LBOnv`A3lW)hZkc;de)J6itwa?mWg}uO?Q3IDr z+iXVjigeJjK!&Kkhz%NcRwqN5o>$fb=b+muPeMtO+#Ajp_3HB`N;=!kZ8N|ISu=_ z*%}+z0q?6&!ljV~n*6A=1E4JkD&uo{ePPX-EbqAiFG|JJchxbP+V+W{8p@l{#mrHE>gG%}4y|X(*O~+RC3}`e-|LcHGGKU(U zo>pYp$I+YqGh~@Lk7D6eH^1Fgg58_(W9Jhy(cba--q5itznRh|^@5$6>KOfb?Ey!q z!!i(w#04J;bjVC}?+kIK10IR;;Q5OTvpnX`N8k@H@P<>A_*y0YvVyMDF_~;5i`dpx z+3}EO{ArLR^vnEXkkt9ptCcNJyvr;!3nyq0 zZj?)bTMm`Fi%9Oy^~T)jluwd-aB&WcR{zn#Y;okro|PSFa=HUv0n8n z@dHy2pwLOO{}$4lJd-nminzy#WYK8GC;WfCGfp>6-gOr&BuM_hR_KNvp?YWJYDWYu zeJL@zIn{+)4jwz*r~!oudiDnYbH(|FsrR#6=u(+$KNy#H63kq%I`GG;fsM_MMphrD zg=}Tz?(qDx#D+qoP!m@b2-)}{?Ue6Bkb^jjm`0Q}j@i!pePQa-0z7MdaEEH6*XtNi z^z`kcp6ej>54$dv3IkVv76%|L_qQ$?;u18&0^?a}`mn3FoNot;>Rg{Hv9LVzhZDtVs`IDEKowH3v> zs*vWY8TCKl)7QJ%;xPdQMzS9(I_-8KJMg*^lV!CavYd-e@_Bob*l6+3JX7J0B5oI; zEJ`5`=NRfY$d!9|b*}Il|Db2q#NShAay+bMKG!GF-06R)l}utZx}Y5sZ*#_OcQNkh z|NpH(zkN45x{O)4njLVKU2NDdL!N7jvbR$ENoR9L!clM+*kw*Qu}+NXAqpS`@6MNf zSXv%9g@`|fS*be~DhxvT_Yb^K9iXzCP|Ms|o2^St;XROG=?hcRQ+PMavVa4!?=8#R z%9#}FjuZ!jKks2)nsCa-*w|~NyjkmpELkp>6WW^JgJR5;oCBL0i$m=(e-G>IMY%KJ z@;~)yF9T5xksRgOl)Hg8d{-CVURHcj=oJqoOCdPZHkidnbmSldET~|YZHYuwquU=A zPx|)e_6{!ssbmuxQymBvKii_CBY5+!%H_2F0%B-_dr_TW{WmLjA{iejPGVCZc zOY$x9df(b|u(axX)(R^86A`qtV(6kYKi6bsukWjPle7Z+KZ$Osuh^{p2fSzgt`*Qi zGjVzKZ^kb;ekO{7t5z#?MA#Hk0)U zR%?JeP@ox)+dbi>nieB&*uZB0FHil8GGMq;c-gH&ZpEHZkT$OSGQBpiyr>Ms3w4bo z4CsO!DBV)Ezbwwx+b(sVqymh_RIlj~=opRMZTk2WgK!`8)(k|e{fG0i@G&YRvOr2O zDz_Hf(OTg@X>^-Kle^s%V8mIvI-JX~B;p&0B^1+r=T}#RI~Q4yKdK3m@CFkl z#h8zI= zPXcP!s|MGaGeckl0JaiTkC&L9MiDvUnVsl|C%^EHW=5IL)iVSkEk8BuwF%pZ?@C<8 z8V%Hw;q2cyDnFH4%3{cdcwu|={Yb0E3Kf6xVWRIJTq@t$)Gj7B=q1eEFlJ;6Xbb}om=nq+=s)*J&xtjfOpbU4JEQrEL z1piP&e}2tcPpmQLUTK{Oh}~qJCBX=HJ%Iu}AuIm9SDmDD%tNojzEdt{5`4R@X5~S# zloHK_a&Q6i#-V*Q$V~-=NsLtmVbd+d4A{?Eo@wBoHGl!H*EzPHiwb0u{+ERc0AoSCm&h)<*K=u>XDoK!v(-WmV6VyHmRI^8^sz3@{E^# zqnhhKyi}EXsk&0hr=goImr`}hN=A}7KiTH0!e#)b<%q_wR{Wvgo#*U2Gw(&YY*wlz zme-L25yTE3R>iCvflZKmgrG1=S~BX^uk7ydecFc4ZFpPR#=NM-@=dNLNMfkMp{B7E z>n?jofhiBkF{VhbCvWA~-Yr>K>X;W;N^sHcqGIVotrJ*>o&#UYrbMBUmgJwI&lopH zDC88CS4By@q^Vf@5{zyTa=bvn=(Nfyyixlrz$P}95cp?`c03^W=QA0{?dW7nTHPx9 zieN<9<};*NZ#S}T%;LtU;jM})jM2ww_aY!Kpr(9MY6XxlfT7UUd8VwSZUV1+U(r}; z&!<1pznK^mleMjk`y%dQG4!l}Xp)301D>(q`%~GjsN~yOO+*xTC=UC*DpK9}u&CfO z*=UF>Wdy-$>m&hn4{bygkrB@!TB#art?Wm%q_^xpihOEvN!kAX3>sx+V>D3?$quH| zO}!OfB1i^FP*%=(##QozU6MK3{or%cU%4}9YUI7N2=GM*Jg( zP0RK0Kxt?MPjz8jF*JC_@Mq%9*?3Qi@@L0bgPyXYpHeRdJ%OSqf6WP-AMXnwM}Bwy zupS=r$|Kf5&V^VYhzfIsTX}ixm@CI4(0daG+;{^g{G3Delq+--wPqksZ$oQ6@=krm zt;>`gk9F@nsm+guoIo?g$kJW>x{ZPYCWKKG(Ll&Jtei3r`606`3?M<81Eu;XZ&GG% zZI5tcvCOz751yUme{i`|Md7sVT&TilgHGa;*~Q!~@i6_I zQel!lPmKl}=IOX8LTAUf&+CcUn+eqTlx&^J9?S*kUi77jss>iJz$my6J)t-p!6G#F zeTF|;03{%KtzOj@x1*Di)TFh!t?9Q#5^Ym*MeyHcGIQ9O9!u-&Uktg@(US#h=B_8! zVdCRgAFEkJbzqA}+d+e6Ze(+Ga%Ev{3T19&Z(?c+H!wLMFd%PYY6?6&ATLH~Y;$WHgpxWND}a@igPE0;9f68U6Xb3W{Er%eN*n0v26A%b|CfV=E6~jST_AW{v!gP!PFOa(pKpp4?boB&U0{&b(hI0LTjX{)6D>X66Y5xVw4) z1N{DN_-_e;jSXN4vTz5O1Fb=h2>+nJtASR3$?u2n3i1XRu)cGT4Z!-x=kF(@cY0Ym zIokXD&3svvg@o4?rdmtO0SEwcwX0#%*dK!02-0H*h& z`Cqp8)v~aAzdGFBDfy=f_`W&+ol?rt!pZWF6=Ub(2AH|Jn)x8SAM(4z1@L2g-$hHH z_n#yNurND1xxa@1-rEZRSUI^O{Bfde02WE0y}Q{T+CLRMd;k`ezomB~v8Xrzt^cue z16VXb)(-zDcsT(qntw}tJOGw|Y<%zV=B{QIcEI<$)yn-JJ;&erzxeUD;XS*>-x3$^ zyX0j5KAV5)c}E2P%{ubHa!5qviT>o9;A4B^`0bEqslkWp2s7Hac3fiqsO@LMxDF8o5jeT{7owVnE@f-B$lJt zPk)O&?s49Cy;76itp}eHUmuSc@)l!kn%YnNFjXFR(XX_4ZD`56O|Y0W7nw0_jR}qU zkUg^oq#o_q(qHE}w%pCOo0kFzqahr^+)b)0Yr!&cC0D_&=`e}Lbg$#E0}>y0TZylC z-f8z**`^V#@Xa**2FxMr*&GMA_WC_Hx~z|WA7Z+XNNax>ZTY^_8=&)5WKe|2+KY`| z%ElmSZIwThI1ReoeH@}k2PlVy#<=2{!utYk7B1-b;ZppGfNi^ol~tb?x*vRu=!`4R z|1vJ1s_8VZvj zq2(+WTU9vBl4U-miiz7?OP9lx#hh|7{doZI83k}e|_4N-Ex zGv5zyPI0O!?n&m*5|65*DfF~6-c$18#aJ#UNkvnc)yEQ<5# zwk4RozDwnS08v1$zZMKB3vE4)Dr!jX<1GL-V14!gmX-e{p7fhwR7n z4yB)cmEl*;fmVP3S4=vj{by>j#hu`c>rElrn5Z|asMZZFFR{iIqPonvA>ii8$QYD3 z1#A}wE0*xYi7cR~j3#SCv6unt_d-&R?Y3{W=o4vtt5CI@Vf_ZytzdYCkYSG=IOV3K z$VaVT@KgIQ+$p&;-ZJ@Wj>8p%8BzGVpc<-$Un5rC7`D9^C{B`Iw=v!}7Vkq*cHO$b<1N9Q}6JYZ0 zPA=*>@Q$5G?3$pWsN!QUVW#3Vx7p=X>rMZ&hy)HFAQu^2Y4slWw zoH&?BLqwc54Qv+7CShYO^M_0SE!c77aNgMRxRkXqYICuX7q(e-6b#qYR9l-VGKz01 za?O)^jDu)0mIrN+(tXYAtt!aLHcxyl2cBUyM0v>>4}+;lk)Hf(R-=TzbJBs0h~xtD7%s6B6}dBGmqw}>WS z-6XEKQj&jE%GG179EoJoA291>88j)p+Yi_1s&dx$@`y%7uLD%Rn#J7J8_c(H_whRn#W#UN&B6Yd6vqC z60Mm<6Dulr3zMS7I_%!0hrBLiik36gJA_WhfxB$lEHNYELZWpyPp4$8iM@LHPQH(n zr;k(j!@*PoRo|vZvAuq7{A4$BD(~L}RGYkt$l3fr^*GEIcQ})V!R2paLxEdLwS+4h z@!`Jz(6h1uAeKfh4Z~A(5N3spx4j?|=;rYAWfW9wApc`Q#k%|jn*PZ&;}~`z zKWQ_G#p<>{+rEoRRf;{IpF~@XPD5OgWnZuy=Zp)pTp~xTaPvOfUZC3VM-L(`Mf;L2 zw4*dkA~{?%*cY%cUO)9Er$qGL0Zm-mT@#%P2y?NwAO(LXB}5aWsVY&D?WH;Y3x~j`LZv!K5!qlbbnwNGQ^GEKrq{7N=we^#}hat!<->Bu)AZx1rzV!^vdqeR$*4j*#a?k z^72+Jkc6J}M}%AF3KZtYkgpn`APMZ385>sT=$(aqTIw7|_WF4Gak_j4~CY*pbw5&r^_ zVvaAqQ5^b3xhrB+aY1>gr?O;sw2}-DAElfk=#4r_Y{{DNr=vZ$4|t?Je7v+u)0LnC z{NAzZc#%q+m>Ax7&xoX;jT!p_>Vu{Sy}iXon&k;Fot3G*Q0krn)({228$Nah3kV*x zJmUdxo_pK65!boNsiU8BMy?MlaU1ORtPZgI2#sudE;Z~ZOb4SuX9ONkFOmjVPg>G znyj^@$~4{oyf_M`B@siiZ^4{CV>4aj^;~(Pn6h>t$Gqw5^PTc?&X%E6!)dPU{iL=k#o@swcvTP0);)l=926~ zq@QSE5SL<^_1`lHp#>z zOGuf9YabQZY;}zeP+_YjO-L6zsdf!)PoswhQI;okkxz4Qbl$7-E%Ke{$GY)Fg43Ap zRFNQ`xUT3t@+&77pNzQ8-VP_Xkcz@sg(77c6YH#pQ?qk=VU*eXBJNYpvFn^;)_bjo z51pv+ng1@_BUdTO#r!_5(@!srVYJRtV(L>KqgDt1aWvUbEv1i8n!bDuq=|DGduXf- zxU)1VR5A@MiqN3aY*21j;EAt+V^B|DI5BW7&U_isyB)+l)pG#`bk;2qAr(j8FX=_9 zKHVTpNP}xh6`WkZ#azrPg!as%%Er*tHwlC5tBFpa$}MlXQx)$1PR;5uD5c{WpzeOj zvzc(rMykU<(xaJMHS25E?7yVZbq$)^OlNU4aZG`fSIoyjgriLrMW{c>`!SV)P}QVN z?57~zw7Gg=Y?o=i(dYOp5a-lXv8K=nZq=+vD<8aV(C_6VhUfOV;^tcWegS9F4ciyW zAWT;WvEOHIDOi0&*H@1En~?PB9YSUI-`#F6oHDV@Mg2beEFi*>Nl1`J`{7!^G3x~B zH=mr7?6cxJB5s*Ghg-X;ezBxvnl`+vnV8F@Rupvp28GdzYLAKJ-xiqJ$b0z2JUWot z%wRP!?CVqN8A|%oq+Z;&`g>$<#0|TM=UgWo48*VN&fCSveqC_0LNZ?b`635|)YV8l zYp-Q8SOmBSo;_)JJy9PGqrl7XT!{3lM|&sng`>(Oc+%8tPcqiW! zI+1>A!KM7bSMDs#&LiI;{(9Zy#sYa3)oe|BQ|67W#)#rBY*4+;JDw!tHrN`%PpVGI zXT*&~{qf1crW z@KtN9#HPR;oS}GuSW}YPsnb#g@yLw}Zs0(3?;2^%=T-#aXt0kXa#YBtDy@7EOR=ZDoNc0nBWVYYs_n5jI4g50@PO;Q0;Bxt`d61W%%Wsd ztG4vpW@|V-VzmOk4GtXi-;}~&X#u9mex&N9ocscNB%1@5gPYUaE1k{7SD-qyD3+>e zJt29{6cS$^lQSX=)_`HV2T)wkwxipij2Wm!DB6_kG3|W_)Np@2Q*enZqu-Hq`EpfNKGD_qXiBl>nE;)K5xsndgi0lhZwCcTaRqDnO0jCXIOVA4 zXS-_3;cpM&NnCB(P9tZZ_ZqZSN4D4al7Bm^+V}m$FS!6ls^-hN(1f$up)q2}lFhM- z9i(Y?%UR}*^TQKT6|aZS8l~%1>iTtx2ZB|Ag-bsJSFcYX+3UK|eD)LJL(d6{7Go87 zw|gGlK8RoTDz955d|;Kf+61T)azrex-Tme=1%o48>2bIlr6);6!!^a&^yK=5B=VGNCR$?DE_0T~cmBD@MyZu*P z)8{8M7<#T~N5qo1cl`0OE0!d%>cx=jfFv<@bfjaZ@&raKy6twe@}kjpo9#(HgSoFB zzu`0v@c0xG@x#yuG!@FsbSZbetVffYRYDE6A-tmrU4}yoeW2uMQ-62bqH!sHEtl)D zXbSMRA?cy~>?^sAsWsV`;MJiQ%h2^&sn0)gelRduG?>Nq?W)N>Xc^c;I1Fy;@gNF8 z;15-KLW;ex_VKVWW5{@goA8V!$7lN4)a)W3qhtg*%AjT<3e9w;drT^)u+NL27y87E zgb*p;cOP`6XcmTx5n%hh_Fz=>xiD%kU@*uVb^lza85%Zy&oR<1?hC6UJ&GSnjlGC| zneTOU%6E)t;noA*Q&MLp#cAr1!e_{H1yf;wX=5o>pJ{5r+4{Fpw{nqo&mSE_#)dDS z=o7IQUe&(;ELAqQ3TIgD?A{2=aUzG0UH+;C-|0JjZT-u7+-x^4!J|<+Z#rGDA5-_q zXT7z&ath*!z7t}^`tCQUh%UQPUjk>TY{qy&=HgX`aqpCiBG9Qm>xey z@5$F^2F&FWU8$3=sc0k2zkZVSO!bq~%dcwip!BThk<`Eu9YUYmt|Ajt&n$}_$|EsU z?0@{$)&YmHf+2L9s+_+^$?aLML7=IJ{)u80uUawfH|NCHvjdS#ut}P`ll%V1AZc7n zZ5hP{Mur0%H|$E8x1ud$mew+t#(t>LJ8+wrLDb5}M}3k?-!RECcTpscdmu(eX6~WV zlBlpPouH15>8?`eN8#U#1*5+Me*(8owI$`}{nOgpbx{MRze>19jo=Pxj);vMB3j|S zLVPJqOjZpLfQ}-c?Nqp%rI`4vnb(3Meg9;5K=68RJeLGXOaO@}kPhGD|4SVpX*lo! zS=M8Y`?uQQ>(m#TY&DJ%a{+IP);Lm*Yf_Cd{&HJ$^wU+UR(JW&uq?vg^HqMIWf8k- zZ-n&WdmGiZ!E_4KZJ+1%HW>xmXFo!6Id!8M9OO?)3!pJ7Qy*`c<*sDs z#&4!bdqgz(Peqrc&v6fweHXv~ zjmMP^G|BYtjSYp=%JGk;(M@a`jtr9#Mb%nBG^Q;`t+%Lz+;x?%NT(>Sk)LfRUJO>ayst zn;!ASH)Oqr zYSt0Luno+6H_Y8A>XS5ke$j&D2?R)BX#%`nHUpI@GE44;X&AhAoK73$@-hVRA~=(M zh`sd)q1AKiI$y+5)yf7x4&R8#rWbJgZ{|4!XI`EeJ6&&mwZ(G_@sC0aTk#8wYv+2q zoCTfYio_@%)%9SkXzG~c(o_5I77L(p|Ij(BIo_@L^{*?qSwUWB6@`Zd>xr;$C;e6e; zw(#D}>`pw|#2Dte{;Mki34MToQ=&c%gD1^=Y_p_(`bJtbGC0LHm)e^{70aeFj{>`J9?Dw3s)I4vgfkDKQ;!-o0{`M#YB~?znbpvY_+_Y_`P% z_NAypZ^$4bM9KJk3X7p!gjq5FBnA}z-z#+NbL&3a!zO7mwj>|E)& zww%un6%NT_aK#AOIvBOI5K~PhhKDAmErGJ~-P*yRRgIFm`v|FKt-y1wQF3RSk?{8q zYs9w6dFKo2I^OF?(r${F!^U_%(>Em~OJ4?Ez|0|jV352_Ai?gLY^A`Msv?rPYuAcj z;N79FL%2K+QL--v*~xvHcDaowNsqT5%_$s+5vY%)ZhgQVM|k`r-(vnSw z+c(`m_CCy4l5O&?>Z4CJZru&~<_$Bvj2c6kyyrA^liJ$HPRDm(WZLuT7xRQKZZC{t zt6BGDgBbZ{Hfx%^Xe9G4BeW05oR`-u{%fVuH=mLWKd2)z7?c*gH-*y>MDX2@c!v*} z9YM3ylcppg$%;DZ<=*_$dDdx*5QK%S#F9J(%O=mRTYN?3AJN@KE$&a73r8i_w=7xk*=lHya z9%Ec9a>K6s)radDCuoGD%1PoxcVl?MH1(UM-=a>(Xc@3AWlHE~2KSi=+}Q+`5j!Z< zniSEO*wTm;3WY89gm}di9LAk_D__}{6;MC~28=dgUiJ*_dCP6@)1BAbx-26YVK%6W{O+Cq4=wm(vPa+rrr*OEoWf_I*M!?RZXT zPsTi8efYGsU-B(|x4f(=>Q9`QFdfSbb^kwo~|< z-$8k>Ystc9irmahN{uFX=Wp?`+0oVljp|}S#F3r1V+jW`Gk2Ma^^_Q=LB|&oIAUn# zdmT!lg7>H%&}D(@30L9{+Vhdh#!d%kF0D9>sI4_YT&1gdW;)%sVU7uc2scPo5k#DV0fAWqfxFWkbNG6 zP)IqdA#4~ZI5>d#A(#L$@V2vm_>KgvCF4v27TNB&ejtpd-QtE6VwGuK${O+)ouKWngIER0R%olttaxhD%UV}m#L zGT>H;?jrgP?Fz)(^62v;FxillI6!m6s~1mawcuyXLwYn7c}t)9$bZ%grc# zoLW-CBHgg^4;aam7l zD!qk4g;8!ph{woXk9#$B&~p-@(io;?-zOhpLr6K@)z)$&x)jXGDHjsaW%y*9+j+7k z{DPmh=Q|I5as76AJ1U_NkWa;S%jTV~wUuu$E9SR3Q}8%QuY8)r>ArRwzGw}M zy9lM#OHYI8w|QS$9FF+)qp(Cp_?N1-)0~u;P-@w`L#F~)!F{s}U@*NwACd?BhW7^T2tK&*^v2m!)u zYLMlDiHe(Y1%%c$TxBaJ3`(k=1ybKwyqbN?*`ax(xCuphTLNVveV8e2EGRN$lc$6= z+-{Rk7jfzuyUV4+^J7af26c10OEo7@8i!D2tIzT44|olz-s) ze?}o+?ljaC^5HZ&-^?hg6NVL1*Lgv=vK&F`7+wy@m zPcJE9fc|0uDoG#$;s-vE#5jlg{pPOV>0!ozR5`oVdOG;;mCC?9g3B?RjDLiqIcm^4$AF%cej0+(mOLlAeYhj6Vl< zGMJJ$ov>@5rp~zd_O)qzPwcy%i%{Jv{8n^ONDotlW z0bt1j?RM(K>V>ICRY~;2W>ytK-5{;9(7}cUJRKYfk=vK$XKEx5Mp|NVN{CEJlcqXo@3s@!b>A)B{XP0s6^=}raug@#sL-$1* zE3!D^Fb#%i4704$)i^PpiQdslRzt{VJQc zJw|HFt~!%+zA;$moS|5jnHQ>ETK#xce*_RpLKQo7Vp2X%ht|*q*5sWqyuKmqZm(aI zDZdb@wxa(!Qrl4+nNu^#lZEm}M9BPzkElwbZx6^9ljCE!%wixm`0TIx(Zxu`6h&wmdtIbR1Yf_;+UgHS!5F0;wv`W9HXRDgOqtwl{u{^%ZlFu56z~DH%P{z z7`Z32I{n>I2)&mk3;y^Btcxs4y&flP%_`aoOh`6LW&*ll#QrbmCXtldt+!B`ZqT55 z**#W9T}4k27$b7uwURqJF-m&6D7ov;=FR+wEiU>mI;;z`eh>XIrP6U`)|Xa@npSk@ z*?vqdzWxQOEc${yBTlo~*7ICjn$+3WBf=$Zx80fPdbd6PTK!)=O1DBkd7OLF-bx>} zT-h*;&CXN2xuD(=d+uepl?Rlno$4L5Dfub3_J!BNPGcHH3OE}t*i8L;9Lm_zxN6Fx z8rn9NfT2)SdhV;9y^@65QXOyZU&nbqB+Y16dBSgjf<{2B33506N$Qr8L2}u@woi(D zu6+B)n0;xGgRNL+(6$jI2;L?>-&AnCF)rO-w;iMD5}5 zB5{sJXV6`8=c5SI&=kK2VFgmO#; zg@GL;2_Jcrlmg#T-$)5#X(L4N(}^P82R>Rk+Fzd&ji~aa)nD1gExtQd!&lIfMDJCS zZQWH;c_{yMSvr+k=E4399)%E}!1AhkMYnqL z^h*+bmBtUG8^lzu&c61=yILYETWm8vbHrds>En!ZJQFBSq#iS6cQ`M|rso3YUU4O4 zA8465j=VR8!XcS&zc#XOM*>d3UcD(GLtccX`uk(>+k7>%2qP+=IKgAbX|&!*F?|2 zd2V7%_HvIe7nqI@{Cg*-HPwyHwLWgc7eSVYQN4*iMfm<~jzN|U*$P=70g?~3HXqZda?u>$JO@7Z^Qh5o!s}^^Rq)a=sn;2^YnZcqr=Fe; zf%tkA!aV8$QhCA+pK_N?6T5oE;-(RjAh{Y@v>@v9`51?Rvl{Q>(~-=5hcQfecLRmz5GA{@1wjvoGED^T__TnWH{+phCXkR0$Vp?uV3 zctvHy$i9IMVf=G=Li*V<)m_CPz_&@!=yl?PE1ax1z+iGrCMv}NNjs3QdR1SOp{o^) zsK}PcO&Ei11H;1S$6>u6Wf>=)p-rAZMKptouZIZ|pO|j8nOGF&ljmevd)h@uD!Ng+ z|8DP4MsL0;O-^8i6L4<@dr%J?`|GcE;~*k76kMky9`vdq6xx!Sr~NDcQ;CBGN^8m1 z7w?&mvrYbR(vQPBpq@?0pAlu#UVv5VkjIOiHU_LgaV^i%+PXTh9hSLHAaGbFmj}y zy;3K^Ziyz17#(DbL@H_ltRSn1<67r9M4w#;*$LbFDnMfA+oLPzaC z*yZ@r@88+}kxiFEfpeLx-s(4dxk4S43Dd2M`j}L>#xr(TNsTRcL=% zjR0~~LcSZnlf6xKkFi5hi*Ge3`WpBqzu@U4KQAzD}+@*^&vv7-*Z>;)}J zn$C&!Lwr;LRFNI1$;Mp8etfQJ+yOVj;Yc^V0x?a1a>kO%gP_?$&$o?vJm2jSf~&Ps z+92u%D)##JF1l;|N7UmHL0EVY)~KcHbpK3sWz@J)2v*Q^;OP0=nDVzCeUidSsCh{N z^}EUGm}brp&Tn5}ddZCyd0*O(uIWBu#|ICu!fn@L=!lTW{JJv1J0XJn>#5NZ24 zd7CEgDcTq}fu(wjeqUE%z@lnvxa<0G0;s*MTcmOcE>lo)hpO&{LNX6+dnC5zNwFQr z{3@XN47pvN&axG=6ETR0xADDY(Hi6j&)pQvIo`SprA-ez$YkK2`ONyI;q|NYk_k&F zr%h)xfmZ`bqIeH=gnTG^iKAjrwV9Iu)Aq~A4Tqa@`4gww>b$*AMMMPOA-B3`EV+Q_ z60AG9nf-hzZJK%JQ;2h8Rja30k!tmnxd1$wuVCABb1Ai=WYm}=c@wG*e_fnk8)C;Q zg$vzMDD@IitmORYj>peNL=3S`9Ne?vXBENRmtYDUx=wZsmYgc&_h8$$u7AEn>@MSw07MY=a zjpLs=))kwBuuLerGB7&5W=Imr0Bfv^TUli(h;%uDheq!kYDt_)xqx#NT#+ZSg_9u?Qv6+7e?# z{77v|xj`9rHJ_|XiW_(8d@)z~v3J^6`v_b=aiNZI??5vC2;AsH=Qvw!SEiUVgb75l zm0nnR^B^HRtd1At@FJe5Y`Gb3uRcG=W@&=DuZLd`ASUvKUC50NpBE9BJc7$X&ffcx z3k}&lzKY$SuOZpoh7%Lh84tT{P-gKQk;v-+!F2xdKf|O!P6;2H~ zMekPHX!W2+Nt30>M{*j;h$JV3TkgK#5`6cqFVy+G*Dsu5_6LTkwLd2r`nWe|jdil* zF<(;Sz5-T+o`3NF0!T$l^$d;hhlj#C^Uuo2x5vu31`gE$gHGa!=);C6Mi>?PY)bIw zh_2bcAryU>F2d6=5{HJ%OB^Y0$V&2N#6+lGHEGB2EoD3$^GF*1fOMrc zfl*M80qKJxuFA$jXiVKK{mdx2q5rw@8Tg2@hB9(2TW}RESQw{cCzgioJid+trSUr{ z{Y`;zsD;GW3Wlm^|l7TOLR=WvKmTs;qA(~?~a;X*su6v zdEs3XkKwELVY)RvlBmW}O0Y}DV|``-^#yk!8mu{WBzNNvaV`?ZYuNF1e6gcEF?jX| zGlH-*i1t*Rcon_XvPa%mr6`h3W%PVoUUh}m2iJyT+zB!Bz9L?pvAZ4@k()*Q$p}lO zDr|J+?VXgkYbMk?PE&>bt0|D9uO7_fHR5*<1Pm8g5;iU+F9ajajQZy`6+gD_AMhi7 zJeVQY-Y(Imt8y*K!pL@oky6WU!~8ow0${bjIlpIZP1Q`o-Wtg}+UT@ANnzrW$c2@7 zZ0=;=N*7{W`h4PA+2gFCAxdp&qs}7sa)uR=B541BqH3egJw;pVSx{k062ESuQ=Y3d z=fabGzjurN^JJ<|2&n`mUT0B%Q*D!F%sd9C)ssd&@Crx89?cX8-k41OJ=~=UHrMN{ zB5;RTCJx71yKofFsSZv-7jZT4X_CmLAT~yM*Q$-{cnxNUJ}lLb&whN+i%jk5%QZxz zC_%qIo8E`+{JiQj*{_%$HRY`x0+rwNY?t>TqbnhD_!Ta zAh>fh{9q9gZl?VvT!%I(99A)8QmCbFL-#6jtZZ>`{72SYzAV*E4EwYlS0)xZ(%Nc% zrQPgu0rcXDY3+teiG{?E*~r{xx=zeDl8>s>M>H>qb3?wV80q7d1e#oW3c)1XdIaf0 zIa4eS6S8nnWJ6WQXF5Wvluc4sA^gbE0^P@bgjUx$El*|u(azP8^?J58qP=hHD$`}W z%SYS@Lt6T+jbN%ATuX6#aW7aza%SFvAjFuJIwnPq5J|I-m1#~hU+rD(JV&xTonM&> zWt|$r6@y>uT0V2n;C2^BCht>N#XYs>pC+zoc{%T6`#69RKR@#X_oa~ABUY#;T! z3(MIiHFExL&GelUjb`{%vU7i$j3NL9t%|)FaTIf}TBN8`+z-0GBGI?Po@?Y^62DrB zS&6M%7P2BAfZ@XqA=l=s@@MsL89zR)Tf!B=vNoHq8QqwsyLDORSN3& zm*TWEzT8~fQc?oH`&=U%aJd7;0(iu;Zjkkw^E!KdIsPc zmSpa+!iZ{>`(m(@DEqoFE-Vs3?PHNz1fkcFLS(}&7lf$iGrA~B;kUa)H@8Mgoe6#9 z6GtyJumF?#hy+F(SDTzdc_j^-Ll&!U0z-V<1>J}c)maO;SG`QB%sXCYtf-?^rU&lVFpjqaP?xO@bMacqP{+1#&rl40tASWVd=^&!Nf6UoUn254(K(iX z|NQ-gC14(xkHx(Nwc{Gv3@I6r^($A8>j4Y4?)FgfGz)Aw;l$nRE;2i-X&vgIoib9g z>s2!2p6*URe({iC6OQYxjEsJYj45@`q)WppFS=FBMC-ohGAw*tU4je~vZOQrEd3 zgvify;3Q3)Cv1(komp;>+bXWduepqJ<~W#acTn@yUXN5-+VMF^7q@k>3o5cS={Jc% z1#KjUqMhi04&uL}FW&2iL-k{nlzjhf4|8$5{m2F|S{jcin)!KBcsodwkoGx)T$7Dv z_7}EILV^lJu`L@)t<}9-f>g=In0Y4_JGcA3zobVfNqDki=MnyA7$1)>+`OVOM(IAl z`PTpm{4VYZ-x=u>1KDxAXv-U~{V~PeNc+tV271+|s%{BAz2@Q+WsUIjQ0F`SBU2u^ zSPat3)usAF)Nk!9ztOeO4HJ*Fp?$REeaYZ(G>vM6{Og*mConmJQ=lD(X2Jp)yoagh z(~*k;_`q$#-R~wb)8L@83aI+Id|fj>6?Hx%x)69_H|hsg?4gtkAa!?!msFU!m;vON zaKKWhdCE@2&nS2?LULyk*(#IQS|5P1oP@VCzPAU+E@ zd7f!2e+){ksO2kVg=sCd%Sxta9)S+}I0P)3SC-z{!b^K;`yg-QVp|0}T@k0r?!2^p zmR*yvD5dmQa2*Wo;{}_o&;T`MU;1n#p`d1%PULM*Y+Y6gZlfzFJ#QYE30si} zzzjakqLB0Op-5O$K|BoK%{^Z3cgE}VoL0A=7g#3HQgdk+t=MRg(W(BaYs^6qAFZ#! z?D9#nUtZzXP!#cpL(PamQNNR}&hbmpOO(`Nr0Q$G<@gKl!HCrKh40+6{*W~so}`$n zUA2wXbA>9}=MNeijgAU@eOmmT{I(t7oH$D&DZIvXOYjk2dCzgin=3cHGx%`0i%!9B zjBtOw?(ydxGi+cTW~{M1#-bA;iss3tF{be`&cfQ^k=R+De(`;{pRDv)Hyr@j*-9s( zN2p&n*Ct15zS0eWN@4kv&W)NCyL?1cYt$Np>xX)JOXR%AlN8Oml6b_^O>g?4k0PC& z#WZcRMD268*ZF4a?PNPYQ8S4lYp6J<$&zVnIKwuf?b< ztJ%U(nd#%Wp7jMX>WL^;SsRZ|vp5D(`7kYguh~PtM7Lbdo4C+Zk<(pR0_j)%Pc1uy z()OVHT0RUy_>V8Cx8q}NJtXxt*fR4K^n+!ZSF^upm5(}MY^LB`kd_L-`s19?b1jQQ zp1#$We#$IJ_C*^r$tJA^V;KrM6YW{~2=ilPby7M#WYgws4o><))(vN`@1Uk@UGf(O zL|%e~@25#pd^vA`uL4oIV#;ECKBcswp)!05gy3#){_%`a;*1qiF~4t}pvFAf3+ zG?yXyPBHx=mJ{+kEvLZPFG;*ZNgs(7{s(kuUGAmT53=$p2%~`&e{8laxoWZ=W?i(_0J8EP8Ayw;!PLEaI(ViRGWU&;;>++ zwC?Il3W>z6j7~Bbn$Tlu?+I|cY2e>DUasd$Z2qQ=Sxmt9{2nI!dFiz!O9*XNJZeLW z2s)%Ey+}cwEOVGYkI63%KvBkm8ej5MQ?)S=e!w`AheJ-bWya);C9{jdxt9}q6T^=I z6*h@T98J;xAauLVwYGAib@Gd`oNwWw$abN6IN}2%;pv#-aM*oPyAqQ$+GgeJ>>V%B zi25#73~5~+gZ!)CcwpJd5Mdb&DGIIsb3X;TL_|fgB^J32<{)xtSFQDhknT|Q9me*c z;}oba_Y7k076#k0&Esu(3%nGUF*}&pl`^bqO=gW2y<}i(F{q`l-%wXeef+%38Fo?3 z3jFgM;$>i)#xmb2q4DuzNXchwAy1QD6K>d^kN+nPJo3XNJHMxz7N(htFe?$>%^BI>h@ke zNkqJW7d0OMF15s9J;;^jJuDqGTh`n(jl43JaP}jYo8X<9s zuyqkB4J|ECNZgfefG8sxUU&>s)MwECMpohVOWo1+QI`F$do1q_e>aFk$nvG$fX*V> zAo{#-cLlYO8!KCeV{!nmfwSd+9j_5y$YySqu=7Sn9BGq>_80m$dOJJ&yx2vey|sBE z9`O)nm9$8!m<*Udb}usncc;bCTL$E^c{FiCCq$08eb%IC8t$QcgoZMiaeo} zZRWB5yfWxTTJ0Qspv$;6hlzzDJrT0tYniWwZc#s-*#Ci0`ud+YVKTzkC~qk7lpY{P z6uX;ddf>*K)hH;W3yh&n-Lynoo@0m-B@Yyyee3|xi02S}@{t;wEMFANa~OgRX&SoM zc}QO1gAf8|5CbRdXLmaT6+N&@LXgKr&V^Q2ESF$#tr7ri4b)xpcr{g6V%X!j_Jd0I z;S~)I;(W&9Z1;?4)Gw8HUsNUoF z=X|QsFUz1RF#5-pm{c_L;Pg2Yx(3!=@gdk zX4tLmupkVngl+EacY>h3PWdvbdlZfg3Z9Em*B$din=$-A9If(y@8B3bBix1d1|*!x&fE^PU9~DgZJH{Q)vR_vUG3GoxzOSs$@5w7PZT zK--#@f+J$6ifh2RQQ7v*~FOF+f0LAoVtf;I(`vh5qM`xmu?|4-Y*} zR(c%Za*3W?ss1 zb-GJI{aHI235LV{#h?6;OE+ZS=IuQ$`$bCCddpR2%cPgbySKd^&j!E1(uTENM8jew z>Ni2us2tOv0p&;pD`A&BDL7Pyub5XI^f#tC>Fei$@{ecAh{N~_JCgXn*y?J#3wtd| z^rb?L!9G-l&t-;6-29>cLI+Q6^=JnI{EO%B5TFyn9Y#Tiy*wBx_VF4W`dA#Tst_Ed z%(U`KdHjNzb^tw%Er*5mryBJfM5KklTtJE&)j)gmYM+R6h86u2Vu?=sOT!#wQ(4@m z2vm_cV3TiEL$WMjMY|F1poQz9T0LNLo@7)OYO0Dm2S8;UVltI>j(e^4% zeCSG0ery!A2lOz4HGz7Wuf}dXe}xB^v^F4a1bcdhVR*?cNYA6%5;2bwwPO<*y+ao0 zj;1Os-pY-u5m605s9IKA+L8)yp;S!Ylq3d<(Bju-2}-5GM>r+eX%M#9Mk7N3kb5L; zl(8lktDmnvNo=YyV`oxO$=Ks&fNk*A#8+r!PB|^s>uO77FL9-1&~qNTbOnr^Lv$rv zv~EvWv2EM7ZQHhUV%v7bwr$(CD^4n`IQM^z+j`@T@tV7_dwVtZ8uR<60oo@o{g1OP zpp3}qnEcQs;|a*<^~Nv&dFqoUL>l7}yq2|bGE;?2xSl5~K*WQH#fS7``ci!TU=w3Y zE|-A@8GKhqHj?;dPE}${|DVn`&k20$rmFr9t~xuC(*gEE*L~&jf?mIvoY-+1xfAV4 zD^--kX-NiS%Ixy?M!hw%{}bg|PbtevlvziJiPN;P=xM*P0F6qkSNA@EN%hLorTk77 z->f7ISVk$Lf_zY3{<#+KU*GN674E$jwGJUGM_nbAA3IEewKGn+DEfzs!H<&UB+10~ zNF1`Ds4PE_X}8hTeKuK$#d*^G|1OWE6e@q-)CNNA#Xy#)w;8X(*R zQuvEh$=7<(VOj*;t~z(r;4~#Mw4NX)5Uoh!?**8gNjd-xzy*n}i3+_~e68w|731nu zFMLOLLfyxMm8nPw&GjGbD2@K;gU2XSFPB8~=D3M^V_LtI!1>5KcJTT!|0%Q)r8leq z7f#$C=js{2Ik)QQEa0ZwM%{f$uv}K(lM_7u4yJel8&zM|j|uY^2d8xqf#JH;qh_`% z&Y=|3T$_Al2N%zD;DfUj=G-zr@g6efTs0?9F%F~1COg4%0C-Ox2V=zWHimSHvc_H{ z3*`C>nVGp#_ZuAk;8i48W5r% z@L`wMXFcViecK%F@MWo=ci#Kk1%y?o&Uqaiu7_0A#Gg>@32yY4$w36=(;Pq|>6@cuJ5ULTJx}8QxzyHp2JZog~PJc^q##PuwH*1=(-v%F>mI z5M4H3MVpGW@h{g}h3}~+$}*r_ht@IQy;M~JL;J_#jY19N0*din31yK{vLY^rrr2RZ z=Y?g&^wwaaiyA-8I*eOSkCTf)i-MsyGA~NcvoAau6E#qCW^r4fV=esJxt6UhOry;m zVLeJqM@PZR^I@(zoz-GX>lI$i^g1o2r2#oZP&S;0Y-|f#vqOGzl9sr$vRDBDUv>@| zYACi|W6l?RZ@5F5bDmsUJxOg6m-a_=O>Qe;j>FmtOn>GNWy9N?U&8i~uU3^PBh#-B z31#3rjlA(Y8qQX9%%q9A)TR2%e{IkTz`3_Nfk;K%L5Zj=c%%0mCl@f(=FGJBoVx71 zNv@6h>FN~?JC?^oy&@|+e}puxS`?TXrLMc%j?wuP)b`pMYISe{3jv-lBk%zfRx6Vq zIyJ(7ywV4glfVA07T4X1tAX`5f=^W^a+O+3LE-YObs~X!{Ens&=gOQ_3T zGxbp!tqwiO7sXrSCEeXwD#7OCNdc!29;oF*bC1(Q=p)kt;U4{Y1y?F20j2w-jwfA? z#d)Bg{qWh4by#}+#QSEJ79;t5>(mhhsWCgg`> z%#`ip%*`~ZImRNA!VB}%2~(wDB{2u{D#w&&KL0O!N%LzvCLK=g%by}UL4Bh%%iBo}aw`+*;4s8=m^l#7_rc8! zE!)VD0#y5(H|gRx8Wy|Y1 z4_lXH)X}nzMY>&Um^H{Khy#?R(<5N-PpL1~w_S@1>rMrglcCjXep`))qsskD+x9Lu zHpoMlErQWWwAvz+AolsdM2<$=SMg<{^k+2KgR4IJVFz2YGLfC0GK~1m%o{C|lEVcd-84$R06ovlBXi_oC$8jo zjj#k-C!7Gva+2t2Wph>U83pEbfYO?_PqlY z?n=N+yMNBGiWBAmDU_T_rAW-~%Vdl&CI@~$*%~^p#I#cM*=z|Y`kD==ol)$~sz&oYbno@KWO(zI8HoI8X{0yU+JZH` zKMdH%QiCCe;l{6r8&q?^m1Tf^cZ%Qauqd48F>@YM^Mvb3(+f_ytH68ZnzRh_%=>>V zg}(>!ouY2D5+BcH!F;7^m@)2p8%p59%A2hfOuso{sx9qZ!Tquy{Ir`>VgVxfhK3}x zaF>voc^J6!Y1T=+Nnw?$Vja>Y279Dpe!Scp4wK~P4gv4Du#v!It~Px6;jT`_#T*u& zM_Mqd);M)SDVp#}W;)~X!V4J*RH$)mMqoU^=yhLYa-G{oBGfOHfxAYzH`W-G8>Nz; z0zOU@JnkDF!wi3FRir1}=d%TYD)`G-wYT zqJl07MFh^xvRczBM`D9K(9Ecdmae9NH@MN$TG?wnQA9A77eVtwuskSrE|QLQ_fGr`3ch zA>F47H%iD?a?`qkfQYQ02=5Jh5Ve=%Cs#QI4$&(8_{uedi$UrGzW}YAu7ppBG_qJ4uX`hkXjDA!|&H6V$_UuDcF{Xkff$TnTaTVY#X6f z@pkX;)!U$!G7%$-^@@Ix6vI}M3=x=M=o6U*4r(VRV(p8~af?sAn^zEK)l?uL)p{9O z$w(0;ZU2aER>VDRSD^bs_r2$hQDeEc6P`JZ2`XBhOonbFRAIeKCIfV7qrEpKUvIX> z_x@gsFItQ&U+&=uAPOI_5~7{4`8T^MuN{iiY0B27uCR1>Pv4Qm9NxLzSwy^9UdCv# z?x`gNNxz-fh~vq|ei@%~vYgo?VjZes5#>;%?I0zZ-M6QN-T&33>(cSLf-8N}dII+W zL(W+4*b*~123XR~O@;TvW5e5e_Uk9yAeVvj=P6tvlEb;$JTe8&)+yKZ^zh;hW8JL_J3|Swk`IPA! z4BqKo`UNPPcZ$(81Wu75@HbDX;oC7(H)|~@be21O^8t&Rh!!O=w?Mr0Cv-B$k|W|mye6c2N}98x|(XQf8;gSe&+%)fn2 zN2w~Mg@Wx9Pt(Jrj5jPuw9swd3aj!qrE;BYGk}dB#icYZdvJX<_5y!%W)aV*i;EOu zpDoPbvY@rvUkMV~r!)46l*{rPWmh#rL8dKrd21iGo{XqUa#&XOP5_rcXsngfVNinL z59{C|kEiQ!f#$k+TuiQM7Z*?B_(Bv`oOwhF6%GlT^ISSf>u%z0VTzYcn0+Sy2g3|M z-9o6EvMFp~?X$To&yf2M)^zrX5wtoE zzaVyJUP6#z2h&P)Meh`#8Vr7> zm~=428{T;1tbgyv7b6mD2Ggol_ot1hJ3_#Gz669qu!Q+_GbWoL|9~)1H-zkGU@Duu zq+j?)PLQc2K2EFrvO?s*D?;eveeG`2ZqXl6dSzzURB(&Ywj)5#=pcz8XOU>RLOZEk zopJx_vG0=^2aQX07h@{PB|m=y6MtrcAZJ^Jxu!mWF|N~?w{;Mq}H)ThlH44Ej z8QgH0BVy^2X^t%PGUMoUe^BT}ERtSW8gIFCm0nL*NU%Bpv9onwUfYLFowev!Z&g1s zS>O4ZBmiuEzl=vONMYS08bc^&0G!nWwmU7m&=DpsQn}2b7ng04N+EGpP!3%}ajwX{ z?v9r3QLo_WpIkypDZH_ZA75AN9d*Z$4p#NaX$UDxK&VlMc^4G zD_&^d-Hx%^{HrDf3^8ZT%Xfq$y{mK9@K%D#tGhEP&6gNWM^b{NG_)&b3hdG`Pl?<0 zANt#CDz{_m5zos04>{;s5Hu)aErdC_W!eXk`Fr@cb2SF4)h$?bFX=s%=V$P0R>nbp zIMo6M&9u=SQ7I@?n)5&}Qk%`uWhh6@q%Ya+B&IRFz&O8wTdhRlZxCq+pB-K_MBG>sA=<4=Oj>m<3 zbYv`4@s@CZDA@nUBk~{SG5y!2wn+v)|S& z_NJtcXriv-&$R0qYXPo<>4j|WTc#j}yUg`p{*t4pu+E6Kdc%uUYsxq7+ZuCy>3|QW z#WTE7Xhn+u{#=+5;`Yll{qU`4Z9DGCSVkUpY{+cg(r@s^`Kt)d-(n*s81xt?G zGe5_1p>AY9h$f9wH53_l=KtvB*aaFmae!Mrv_mvQJqh4}us0c^cqg6vmMBZz?~|&u z#$G|(e2o3Hg=y&4%YLDZfVn3W3M+LzMi04}g3-LK8yjzs`TR)nJnCci9YSji?cP#r zMJ8{#{^Qx(?oDGS9wnj^j;d)(B=nbP`2BOD=Duub<-BlTgTk%qO0!+$Fib#P`5WCD z1#WB51b;_g^NLVjGL4vszBP!*pq9v1=9)k=aLi-_K_@+#jHMf8>a*|}v*X?NGuC)| zbG`EH)Z@Qx9WXFJ=Nkpij&a;M0oVQje~$PXO$4mhEx#&BmDBOvRMyAIm1ohp{MvJ(j?HjBrZS-dRsAr4y{gQC7AFCnsKo zq^dBoVt)hV1ft2%8@jlF`detDC$24tH3zHDwc<&88N4N>9R!`p>*6K&^fLvk)%jzo zuQjsYlTJusAF}mNyG(soi6c|E@X*z+_Jm^0}?u1FD5C zO`Q+Vxe&cS#QN9i0$&D>w=Xm0_Qu42<{p+9txXgh8E>){nkF6csh`6>SgU~Mz;%xN z<`waa5L|%+{!$(!bJCJeAti9VTUSSjJ(HHiOk#GueMw7JLJ~nr)k)6Oa8Un zWg+-vh6+$hb5pnq=}WSMGKyp^(-fjL)28H~YUZTV# zxVst(g4qTud6M=okMZnMOx7Kpq3!(TX?m1G?T3n%FJMK@&A($2TpEM4CSRdg;nJPU zSW$)T+h^py_(+zpTe*Gb+Az$!6R(S_+5jyz6D|m_34&ap6b{`GuN_4GEc<+AT?ED@ z+HELUT;8fdOd}k6g=WdO-db}>LE-}gXg(;W*6^!;_WCa-lfe2l>uz_w148yPKkzDspz~;Gp;d7lT?il%EJHc^Gg2t*Qc2- zL&r-Ze=+>Fsy`iCI;b4eRv>hBskNTOzL4J>CZoDN#35J8-vc2h+ASGH9fZ}7A1qr@ z-)@XKyZtq2ZF@cQrV<9QbuX^AMq8W6tQGM%bJHplCl0TgOW50>*NXwgE3}25%PK_F zi#11B=EOp2gib({HgSUTq2!Zdj0aQ<9_lV!N1-09Ur%!<1Rb+U+YmJpHu~E46f3Ay=}(zNDgfjWCR2QAj(;J+cJHZs5hlmJy=6L%tQ{ zN}kgRoB(K4|D0-U#!cQ@p8s?#&2Cw1sbY0EaQ><_nzm_mX3(I(;$rp9K-r<+0gC}i zBI`;l)0dB%{Y!+1HUj8zH7Dmi|M<_9YEc63p>ojf)KJ5kmr(FfTxF1($xs1g$M3m$ z-<i&EJ#T*u^1?BuxEZ zfe$}bJhdc=GiSf9OquStBei%>nw-|mL646W5w_ruH~35q*k+&eQ5B5Uw@Mta(q)#B z!2Oc`HLbGKT`8zofE4`Oa=j+4(fhD8MfT-DFtzK zT)Mf}=nRIw#n#p|txgVWo;d(`u~kh>RAqsJO8l*&9!5gewZ4GK^jdE5B}v0j1FP=` zQw+L6wy8l#v-(_Nhkn4}+#EW*FsT;@R9~5?3bY*eB`bn`ROs<%~ zgUrZAixgMJDx8Gy{Ht4bn9|=6s@@i>t}npVbzbDd zTQ#sFIX;|eenlep*iAQ1W?9ZuN+O?ST7rIRj*yHj^~iUMotPrM#?)|3p0(Ehpg|n5 z=Kypp6E<|ZWWGwm%-NO-cYH#YHYZshhqSpvkin`UIxkxpBUcVCVwXtUTV|^d*3mr;v2{b0cVE#n-5Bv`+<(~d0Y*%Q43p3oD-D94Uf!*44SR0 zWAlo)*tauaU@Wn%1-qG%zobPUidXB=(vJ3H`GCl4$ez9K{cbcDP& z&K~>bTEVCr#f;T=f{50pzjFUQDrNw2>fZ8%O-uai-6=Qa_5M8M0givIPeH!l)uT1O zV%g@I9Mo`HO^*?+E@w`$tuuoT#j@|l$-T|Jaa`ef_2WR;t<}hdy{*E{rgmMeL4y_$ zi#;SZzfe zqYKawCt$^x%gpkOau$1mhT-&7@wnitoLel_gKrSzXL7f2j^XYt4Eqra= z=WBbcbXSr!VFJ?6IS;d4>sHn8|BB36%<5Z;jnxK0BHH}G`cc}6^G#{$;?pF@Zse%e z1#P=;2VG=v2$zrwsuv@PYU4U3Q8B&WIw|+JD3=lE2#6J&2hMjFtO~(`q$$1%|H`X@`?hp!m>)jBTgki3efxuHxciSPy$b0a zKBe@UCtD}2TpwH&5gQW6%7wveaXjVeD&BU(Drs>E)$v5%z~z8u$+y2?@^4&|7!Kvt z?ov}u`!hWA*-c`xUp$!yHa#`)-@4p?_3&YYu(Z^6QKVAq=3cQp$XcmxusUwBY3~XA zEvbD#o@GSys0}e)hY8;qxaa6vrbGr(6fda6&TSqw8?jKtp@!lHIfjsqmHzrg@w7fc z0}<3BBeNcXaK!$T8d<1auCd`dnwQCpt*iTi)^!->!}wnHN}#qODhA+Qj$2XHd^y8V zx}$2JMub-xs0RH2W6%>|;fU8`pm?W~bvSQNqQ*a8j_H9mU^s{!H8eWD*O0_1Q8#! zs?hF}ULDfUO~Ks$&>q8989J;0-k;uSl73mjH8ZVvSx<)AS4S>BX!nX-yI$L^=>A_J z-Oo;Q38%!bAH&`~sR8pIxiaf^`BUy-#nj`pmyrhULBA0HqnC3i4#hz5YwOSdsICoV zXbeR!+WKrf+WeRBLpiWanI$`lbVCqfb3Py!#(#n~GWPX2{zhWs``c~hvL?pi4qmLO zI%?G?^~z&ecH0qCe6T5>XSI#7HEwW|>TUY_VmwObA08ZK1+*=cm1MC|hh~Gl=e9$1 zTzZo~6hs$RZbCJVE`5no@fM>PHQ3~-pXIaxoLm_|5 z$Kv^aD2^JxV+>W6pe_(Jij1Qa`PKF9NO<^5LMYr=CMfu~9be82lr#8jrlT^lJ#1AV z6v1y!y6=)2U9IF8P6pBZodoTwi7M$X|HeRC!d>kz_OB~nEXU#T#6g@lQoymP&woF5 z;|1z^{c^?v-^&5ndsJM;Z?y(|V8dsq6*q3HfF2Eywrgs1N&;M-yVz(X98Ljh_E)E@ zyW2lCV4V`Qv%@MJbGJ$e1!B~-YW=OFu(407 zmN4F)IBdXhy&8IzoFT-Tg*R|K6J<1IDZP&3<>!tgZ8uy4HC5QT|T%AO9GinX(R1CS=Oq zW-CuT%s1vp!C|mg4A|IS4>#?XZ?^nN_PBrppUT<^VjERAlWJJXBRFHsS}W2#Tf|W1 zW###>KqXK+rI?AR^2vpGD;KB2EgYC}1tQZ$8ByxuoITyqS5MR5 zm&ZpknnqF64Z-U-Wlj?2IJ@p*+Uyuyi3xmDLJm$GSxxG=Cx?`Wamj-lMd z>~!;gzk2+h5Pvgv3+#F-7EFxiDE}I|k$TmT745o-i1I-9xX^rACrFBYoCnFD*`e0smW(8lt{M}8< z{49(sVeDu*7BG#+!WAgmcph46`065jV|Q$z6r82$_}hma|t{=q3hVIrYv`X9$>%N##WHbn-&J7)mAnLZOie_ z;>j&y+_MAf&uv=d;aOBEuj-&k=0;6!KdmoP*Qwj3G(sHJWIULRo*ZSRIXE=veV5~{ zAzO(MDUPfnos7eq#QgwWTde)Rwa&yZFMVnFU-^UzyBNo7F>JK=4B7KT(ICV~8-kv< zQ%Yp9c^FsWdP;o?WcR1QlmDiDxjel{3Xg^mOAr|hcLnKj-pfB4mHErOgGoHRWtt?o zd9l0=w=U28vRxm#G+Q3igZAg(g@-!IZXlEMzi;pRPEaxE^&D=-;Xq^pzJi{?LEbh^ zk5%-A_g5pzb&72T>i^q_Om{B!IUk`59FHTcEi0q7uJd-!jen6#SA2*(d=FFVPl5Cz z9Y)-tlhw0Io+epcGg)t+t)lGGX^nUIPOkj3kKa+d{-@AYSw&~U0BSFeAG*}NT92D$o-ZN^dH!6lyoczAEXyWrmUvUZ8*bpSDP6-IjCia5fB6yJMZ z|B?eaxyF`uPC6JqZh{e?UJ7$?%D44ki-TN4&7%*NdZCM7`r&LPxLA}}BOsQd@p$-h zB73UnpROlgQdcHY_h3iWay#+cS%G8YWyn}AuKMG2K-l_9Lgi_W^(HSlkO`y};R=#v zkM!s%9T@iZxn-|rZB~yk`(N#!4O%<&WnX>c#3M>AQ0YKv{Mz%k^>!KB+g5%(?J|Hk zCW3Qb##+qCo!KeLy@*-P^?Lv`%Z$y*G~IaSw?`&9Nt#4#tt@ny6b75BoL# z8V{w;0)FaPjSQmOD>0xcEYY?0=`oWXky`DCIAV);eBjEu7elE4*ZS-!^Qft=Uc#{S zUTUTgo(+smH|XOLGlwUdB@sLI&{h|=1P=f8#vxTFUR8|GfBJIW_TKS3pu}U1K~4#+ zbyxleJCF0%H|HHa$CShk3NHR`oI&zdLH^pJQR8RKUhV5bpJdAU_6@)p?wVi68#^94 zt$VJl$k(-bQ;m9_Y0evWZJ=4%CCy1cc_;f8XV7fWBC9&Gr=`KF_Iu$9sfdTi0`xef zSgV0LC!#7<8Go*qccYt)S`Z)R0!(R9mmZC+)i(Zk@V~87`e&vecNl6Lw}uo5X$1LkUyajq zhg5Kt{_md!tl&tJnkN_S)BX9RN0_Pr(fD@EJen>lWDq~!b;~-XP#%!Z8GUvu8Q3H2 zP62`E1ly)?q~-!g-h2zC%L1BK$i}4CmMLlIItbf~GN^6p)K<@O_DxGuxJtcVs~EvQ zhSTtbpoYa$ltHI$Qr&YO)Dh^N^t-4{;u?-hFJDy`re+yoFBwa&9e!2)MBBy&GKiO( z3O-0{ma0%b3B(d3uhq4*(`VnEkv85CkZaa_c`lW!flabp1TD|_OOt#vIDqTkgb!Vqe1Eq!F&A7M%T7$TsKf!briSh)k?_(m{gMx zbI~`7plM@mB$|N{SjSHe#<|rzQr7?g&n*S*-gqK2PkPhL@i4SVew5Puv2S0FaRdZ17uO-MwUgUXY--0CAzNkoCBoGLDu z3%-A}iaQ-7TS-3%G)HSj-M|R_d0GPy89?21A$2wrp2YKK!Rq4>fA5{#9wAG?R-xP= z_u8}bs@{S5>83ttTr{(Ltc+Fv&Fak{y-=)M_j2>&^CPCDyP9OWmh-I6+gfbD%g{&e zd}y=ul6E%7#BD%B0vVZ z=W&94ddDdI{PTzwc%XyhzF=%>k1e_!V?#9?Jj+ic0uS4(iiVtVV&3^HDO;fV+cr}D z_mqz<<>n$@5eXPk(gBZpXNk}5G6>sZY@U^6M9UY^Jy*lO5S|ApjnmN|n4=XvW6X2bZN+T-alpgzIitXFOLie(B zgewh^J2OT?k4q5(D%m4g4M}EDeioZG&GF26J&n=I^`0arnLdzb2!?tQ}JSER0I;1Gz{IAriZD5bta1!!=t_V+NGXlwqMv@uNta?X@nrDKxnR z;XO(e5iU$m2P(S)sw?!|^l`ukRggQsHwl(|-bd5m2t`YO*qGz#>^|K-Q|kI8T@HIi zGfz2iQsb{3{9Q89Jed+DY`bC0vWE|MrYfQHHgZ|Fx(m4u^91wOU z?Mq%lDLzcwhMRj5C$;{{3lJHSK@cp(@Rfmtm9dOd|>{98GX|0s;GmL_92a8 zhWgzUs2I5$HCX>(_w$GbIYx7DM<$zu7*Kg_?Uba&RN)y5G+wPGIF5mH0p;pI^;*?c zM}(&C==FJqDvms<{wWq$G?uN2&T1unx=lyvR{R7TYkoE4R=4# zIaT=VQRLN}X&s3K+<9LQi6llQde*2CU8IRk(!13&)Ptupwj~80ly;_7c%E`qED#13x+f?5)uvRe$W?*)a`I)ys7b zqPLfU&ES8fF!{s(RV1SR|?|T*L(l27o#^YX#x>kX<$}_=%@S2xV z!EozU4nC4f7Gmp1Y^@P%B6TZXoB}9aalPZ>J&%7G4w%^WidO_ERo5QZxuqIp8pvn8NJ|g89{6NzDbeTt+K&&<;o$_k$^B-;E7&?5kS}O>Uwpe7(h7g!U zgN>I(quHn8vkBnVXNrXm5sPU~RL(>pD8dgqi-#Mq0%YqsHP3^VrT+KHo)0r>_I z{Hh?TKsHkTacOsh0y+l}rukYi?d z*%DLRPDr4tbdebzCKRGuSX7R!BN8*vI7BX?YF!`Y-CzfF03L9L9;4XQt?(Yiut*pr zS{Ik%qas?gjvB8JAHQ4EHIS+EHS zBOPgJd*>QBs1PhvI($jS{a{`^p+TV*5^wmvzzmG^{bg27Po4BFs)xtINb4?H5R-Z4*MH{h+;s4am(Y$ysqv4ibwQB{D zix!cQPG$03ubI8VPAl73SPr@M@!%C_xNokc`EZ_nSj1?i-^sx zv2a_-6`7f191&P8m;W=o7&vd)(7j7{tN#EWMDD1*QGxLkN`a|?Dri$Nkr|irMStAnO zgY&QFL$li?wn7O(Nc#6qkc^cE+y|4H+LN7)}`4g<(W371l@;oVrCp8S8!l3vfqfNai$Wm?Hm5O(=>!ZdY%$Vh0M2)Isezd~>rl>V;t zf~^8OJ;&lb1h!d0q9K2ja-}T)0F7>YBV%W98~GUJ-E@rg!RrsS&3jhV9s@CyO}NgC zm84f+Z*q!Rtbe7>a4-Cp zcH~MFm3ZQ{mn=2{|0{57iP0-eFo zWE{T@FRj&Ol%L__{XdFFw_Ra96`BGy>>Z{Z=m#Y}S3TAQ2fb2vw1SwBdSpP`D^8nX zBJ>9KpzD~CmGnn)d+lWBZfGnJ;p@*&AL++G#f*>z=Be|x!#z&D86d$e7Irjg)104A z(<9O(c!rlj=sQ`vR@09rh9`0aGCc>4-s{R9goz=wI>gjbRfVlu8Zpb=K}(bvBsuR1 zt|EuxC%fVfN&k{3WJ`NboQ_P1Jl9wl-YP$ykJqyLF5m zno}OwayZ9~j}<#i%UX~Q;#K!)Ms>75DL3t^`zxL1iQhqn|8IJtDctm%)%~ePG z$k+T1P+=3)b_aM?KOd~&)LkP_9IDBex92Cy#5uftK{=s9$D+x=z~~P3ReQUH<=57W zKRf@nB)2%}x!ksfnq!AsT}Q+sAo=8VGSDj+7nwe)38q5_cEqHqm=ONj&!T4vGWF*dQH|(5eRKv}dAy!1vGNB+;86p}-ai3SfYZ1zz4M5D@Q`sjm zfD!3OI(@yo9c7Ccq)Rc3nk7wRKLiz|n-ZSl#~6h9dct-!?PbaV%s3V;zOQP%vhCLD zyS$Yy#GF;&y`<8q;rD>9hzXu=hUfqGy)!fYfBN28IJwwZ|JU%&OvKE}&iTJ5 z79ti7E>6z>r|-QTLJ4oKO&~I~U@#W|2JYeE0m}f5JkKI_7!I#3*~_jnL`z z0meuRYcooOaEa^foDjhR8f+`=;1ycf*&sLi-}y6a)sv1@2|;#SP%suqYV*o(|L?{CHovwn~RPVNpZ?9JhszNtXYjV<6lUxl5Tmp#BiukG;z2^@YrMt|~%nOMPMXW(u? zAcas_nTGx|+arO+{qX;s_ta*w3dLN2dCmaJ0t9~em)-`_lh8MoP6K9sR`n#rA>i5F zmA3-WKlf>nk!dXhars$M1M|XiFTkqh>;Q8KLE}I1MHP-O`E;4z~UGQhtUY+!VJ9t8aTv91F7`um2eY zF>Z)D4R9>V$_>q8U65Lw*;{zpS9)vLyCDqL&JGHS)&N@k;86u8Kr(+3b|GqD>-gf~ z00})mGhkkYvwwO^xHcB1&Iy5y4X%JEd;4d7BmtdIX479C%mE7vQ0JeF;9ywT0~#-c z41oy`e1I{HHmIMclsMdhS7*8}Qn6RVAb5N`dqJz``munTcf-d3XDlc;NE{NnIc@BR z_nh_Db^$eLRIbIl_(#Q*I~y|93P-Yp<`esAF_1^f-D7IztyaE=p2T?}#Cwm^=O1 zjegL4$NZi1`ViIJw?JOIP|SkYP@o?%WF^1&yO9&SLoLx9jmAmv_LjL+J~1;#P)qt6*g9c3dtu_R40XWjnNdYT zg~uUGcHE*_hSk@7K*kte*|4m# zbd{)-VQZ(nVjq^APdA_p_3Ibf6)_z+moH5==S}p{RGJ%6uNc)evr|A37Xkl{rxx~y ztDNxUMl4Xj;3h#ZHSOV=7 z2F2EL0heLc;YURT&M#V*%S=g>EH0jP(D0Iu564?-mHA_C55&LrH6K}V2Jpc0QjG}+z9yb(W zexl~B9N9o3eZ#Q1VH$D;TDa{Of@@8LU>%txl1q{?M9~2Qe+=mrX`Xu)LC#}hkM!#eDr@mpwgUWXgHnh9C;ariwN>n${0dT;JLrYgZl$>u81 zx!}CWG%`q~z3NxvJlN4BoIu%bkZvJaX#ORNx3JnkuDHGf`l^!R)*M<;XtC~!mTj-~ z{mQe6m$xTb+!ay3x=^pBv>vn9X_~ z5zN3UW{+JJwSR)FT4f#L@=77L5Z6aRC2Hkvuq8A{NsUPtA##!Vw3kFLcvB)oj1%bL zRa0)?w`J|g48WKz{%}p}AhLE1iR6VcA)za+XMdnp{kxl9>I3bPU3?*Tf?% z#EIRtx)*?wv!#tP=HNcrlqVU9xO2_=d&A~7o}(X|P=6YmIOs24MsO?@J2ffo)$MA? zJ#Sm*tIU=k6}k324fhi-V(p$$D~WNJ^auAjx=JDqVhCg4N2v}rhHdKQoa9_lf#kfm zsLJ(H;eV-=?QTWF=KDl92Y^m7g9#x)tGjV`!ctQhYhN+FrZJS+mn8W`936;)4BSz0 z2^3!X-YSz$*o*A;4G~a^!j59wWk_Xn3+tC_Bttu(!;D zx{xvKB5^cy=DxG3@cuwwRK)j3N}S7+QV@(GWYDIY5z{3O!E{~kS5n0iO8VI=fCgZ#?%B*ovt2nRFah_>H;zwj7H*=I9?y7}vg7gON0O|F$pOp} zGqJg=9_UD|qw*nEA8l`$=I zN=&9kVZd77I|FW{k~dFAx{rdrNyI|2{A!gxvQmhdb#Bsg0)1?*gB*Sl`2jwn zaIim_09r#O#GBcw$g!1zg4n9vAYQaB-b2k6QL~eBz%33(KE+LOrYp2R zzhC$@X98WLBYL5=sZ%IU93S+KzbpI-7S?^LCC^Vh;^VS@Y@G)4%54cu)zxFgvKSRL zGFka2uD2HyDVD!CPv4zl9?Lw@tdPquGM6F#L~1m#hocsGX^|8W+1i61kz`0}gU7;` zZo}s|GZaY=le?yD$3@*!%bSo<4b#=oe|%qpW%%)6O5X4&Hi>RG28r2H zwpZ#?2PIh>1kXp^A<~-%Ir1npsYN;LUpb=XB64Rzo1NR>&_%?LyF{?jt0SVAEnUX%_<>9?t4_(&j43W}>N2P)tti zGaf<7FzPyM8XYn(_x zE{-YwY;Hec{%|0^?{ss7?#8k39qM4_x7M3c0jqs7|2MZl4sbqtfji-ZfPt zR!ELexy#YC;*+OoD6jZL6&7Bi8fr+#k|bW-Kp$uG)-J?aKe8~}HI>vH72)om8jF|k z1b9S~WoxWAdsaMlq{6Syi>9p*zoh#5fBr`MV~|otw21Wdpg;tf>0n{vxZo%eeEz1} z$d$yNb@M~-if`uw;nKqiQ2Acd2#n0a<7m_m zylI%{HuXG&Aaq3QWd`H#8<*vV{H^)l?c6UXW@nnR3vAkEad99M@7j8{;;VlRIc<#} z$^Q6**CGx;%{USkC82#bJP>s5ROR{M>m72yJj|D?{Iuv*c7{A$mIEp-j^lY!TUU?A zXirdVK~Vikdwi_JD7o|wsnaM&+1BR*D`S-I>TYDoA6qo2thbM}d!3o*8mLOV25-vo z!o=1Plam&aDE3TBt8X)&4dr#jk<2${bL6Pg=1N>>c>9ErBxQk+{!w&wk#rf5K2K)`L>_q7E~v{1I#rMpB7Oy zsh@-MHiYF4lZFhdfE=#PzE!BDGp9rh8r5a2G(|ce4i^YE2lb!Zy1-2#sp>ULqnd< z#quLrY`O=`#h{k++Pa|odCpOKkQB?zjDOXxiov*4cd7iU8P;xailFPf^heHZ-OM-n z(s4yJ^|pp!*t?}fVi-BT)cTnUvmm8mVds6Ysr3&QzhDaWwre8dlFQe=ub53b=CLxG z_VnwpM}&Xu*sn?AYVKH2=RJPA8h&YPS!Ncx_Z*yE#mN8%|1$F0pwo`M!)7KIqRDhq z#j*O8AhnItJgcdYt0z?832J0bcE2!j==8~a4sEixzHR;~0Hpstx$Db>sfGa4iw4)b zmAY9skGvvxzjTzt|4X-d*LZWv9vui1QQqL5Nc*H!0Q>n%Zy7RGD1v~}`3f01Se+XN zw=PHG-detQB6{ge_cnKh1IEGK9e#`SYF#7`Z}&C))mopSd97PzfV?(DO?$S_oU%|* z?-|m#Y+3e<#M?xfu7D0{x|HHREDpWdG}wA#t<|&wR=A*^Kb&^ws;{_T|9xNn_n>-4{E!m&Dry_^(yVSeSc{D+{)Mxq#rg;Rf>841-N9# ze~50r{)XZ-j{sw=DqOhQD#wj}jQ6&b4>v!xTv_#lhmI(`vcqNQBZ}k9W02a13~Aw2@on*TBJY$_qCAhsdB{R z7g)%{`BeC8=BWJ1Z@TBC@3d$E)uO^6$-d*$v3hxS8Y&9jTgDEri2X+DW7ecZM^q_) zI6$7u%5ht-8Z$o&=2VJrnzaPiqZ)MX=~hdk+IQ|+LiQWke(u3-d~j_>1?FT*(_;*L z#gxLrmr8G4JhC%&!BLvIH%L0jjykE3aO%kcK5HHT6c!1C8)8R}mX1qZB2WVIqlG;? z?iNrV{5-BWz7MWqV-!ayD}+IL3nOmjy6RQv70Us&$`^Q;O+oa>0>cQup z$R+EGQ-g{EarI|(3V6?d*Bh{<2PmztvvCT$ekBS49S%pvQl_$2&G1C%@R)AeNb%qL z1M02mjC`S2B+>?gpiZ}l9JQvh+7N;%UlLOP82oxpsgf?HuWIF`N4mQ=xLT+13KEgI z>!2a$iU_J630+*=R%r_#oa>&U2seidomcvL(`+iDZ)r)!G$S!@udSssiFQ(DWAo6K zN4z8{EFR7Zz1=N0qcU7X?}=Znb@Vii#76XGKEv{^_rrJ(q&ei6oL z0W1)?%IkCj2jG><;!(eLNA&NC7HCQUliCOv$)rrCOctI?^6Or`zD<&D`Bb*SHI9i? zTMjsSkXZ-ib?9Xo{3s5$L ziDSdOv!qvoT>Y#qE0E>V=Drl115A{*vr8dwaAWmO)lQk)&DMSbUsCyfPZHUC?7}8v zNs&+kSj*@gEGV;+{8|$3)Biei&C-lQ)o{o+#d^?-QO zpj#&Fxuw5~vD5=zP}qLu*LKmetRh;smtS^kPQ~Qpvp4%mY|NHi%Z+F^ygDLrbbdek zk+!q7lrQxh^XM?>s2=&@#IW9!y84@}yuET32-m3JLuk5nbDu19@qRvEN>}<4G@5`j zK77+IP0CMGBeJ4tR|HEz6DsJdov;~Fewt9T?>0Q}gW`V=7P4#w0 zR0~X~(_)A>(+%OEZoXpDjlJ-07!wzsoMW6=Sv~Jn!>`8j`c2(g<(>LqW)7aSSg6jwn_8yHMFp(x`YHj>c02^w+SCjTEq8`d!NxGrfs#e z->rUZYeyov3`5U6eLc)?#C{5S%a)w#7hGNl-ET2jW<-{!)ToU((Ix(i#Ki7~m6D4^ z-@Yj8;2cnzz)NPPzqKKHB(S&a=ZqFFq4Zvrc1G>24z(Q8;)!FgDx~c}iOTHnjyY7;QwDp6CoOzSnb)DRa#46*my*n1&o=B3vq+ znrehe^S({Yq`Z5t7z_(n0D!%OB&40|-EowpmWw2FO{T zjaCw=H||A*0O6e1SssSkkFLkt3asZ*3To>Gi%X{;yn zDD#C5nBiAcxR@bXG~_`}&VCLl0+*e1S=(~Z5B|u>pJ24fook@9s%)2-QC2<59Pi}@ zT;|p~g*&HoR<|dswky>>wofLZQox%RhI&_wwryI|mEVQ}uxJHSOc(E9$t=Cdn)lee z?Eh@x@B6u^j&Q;#>iMNikT;?a^v6YcP!Nfky74Kc3PQu?W;Aeir5MYT&KEgLtLK>t z74+E$RFsDJg2u-fzTqiNlr73)7(MYpI^94!Q(s=6VTq^!KUr+1(zo1YW0nNFVNXv}&D@$<&JyZ3p{>B7k@g{+K|GzIbX;uuMkqKT6u zAnoTGQRf3%ldclmeezc~n!!Q>!vtvh?ir?i!QkB!<1<01dH2z*+}4;M$56Eaz83c~09JyOemLpeR0>7IRs9XRZYI9U+wj0E z)#=ksupIqaMEyvzGSw)K?8BYZ*tw_Jye4UKnHSXdSr0b*uOhSCUmpy7OmKEc^;ilL2u{&eX$uZg|4w_J%%TkC2ejiJwI9)0BWp7CQrqKZ_~_5ss?G$Txpu(2mM z{}sY-G`=|TZul@sF9HQUJB`7&@Vz|LSF9oBEgu^GTS#H{D}6TJFEDS{6Pa_GbQHBW zX*gu?V*=iQC|-Sn+4kRA`A84Z_@`0GP$lR)T9^Qk&Z|X^L+YMI?tx$@gs5!=f0*n~ zD;I=s`R;}O%R6B9g}=Rg%l7cI3S!;?Evb_Z-%;gQ$f2)Ye+r&jM)^o1&K4aCsZ->y z3Ywsn=XyLfb;v2D?)^~9Op1TWf<%^!>x>%9h6xe8VW|;1E`Z*-hp=C%%#OF9uO#kb zQ9xlb6RtoB=DL2v(cvD!V}!`<#l<6;d$nQY^wI0{f-^^S6!+B*6;Trh9W81sK^Z~ADXb<#G->0AEw+fwlKuMd-ESf0?cLcWMFzdSM0*3DaGKkg+-F#&R~ zEtoxgMY6O0YCN!o&@71FwQ<^5Mow(?Z=OV>!cU!P=xrILBdbS=8Ht0&+K8_vt^UD9 znE73yQMo>E36d^fnlb9iR<~bP;tOrQZN-e#BR`i%0QykT7wPG08Y8EvoiQ8z;`t+d z@B$NZJ8a$9W+ZMCVrl0gaMOebg`U%zH~L5sk3gVS4D+d*cuT4SE?w2m`=;V$p1*KTDc`;B52APW>7T7N)@PqqB-pvTT z^|flMEPv}T-BV;86yF2XeAfxQTM5wRBD~8e<82wNg+JbQX>9M9TnzXA7H4AfO$*r!CZAsS(bM4#ZqDAfmm6@lvz1(+Sx2F?$8Ks=!SV%1D zD12@346=pNOk(8psBGExgvH4n`NQjB=*Fjt93K*v1|jjNx--QTaQz_)Lp%-$TBM<9 z_VN5;$KFcn4k^RR(uQb~!-8-U;$s&e=qQ5dR*R{8L&T1N`P`FivMPLo)FhmSnG75R=f%$pJZI zRSMn4r+*h=>jyW}!RJvXK1mESM$MycDi=k!#zb7{wm!uNp?6^Kd@7D+?A&adH7*$0?fRYh6juf7kk%B~ z{~)uDexkpHlr}1^@UjHNWDe$dG35ee@MX@`eHXsB;kx#=N7W5d2tJ@)cvP30|JJO; zf{ku^m9rM~)w3jT)s@!SrO7DuwAeRjK55_>^f%Ebl`mA56?K!nM}0w#@f6wc5i#N} z#QdV3yUY5(g5z7xVSI&^y%NzRzGBoMn@miKSVLM^ytn2MB%w(xA=$}tskJTOH-P0g zZ`LO%t}W_7lEWYOpYj-R)3TvLM+>3OOWNfat)t3a()A7zBdxSJq~3R{^mpJ_iZq8c z$xM2Fa%tPf8rod$9oI9x$aykutqW)Ou688Uh4IgRYkqhzzdAg7&=l8ca#x$Cl)ne zPRRV7Co_P6DNjpfAFX4D^sPR{{U#UUK}W|=1uGl{iKjn7gD9)v$UmTwVE=Ai(3_v1 z`6-6BpjO$q=QWs+`>NU#o4${Hd7;MTV=LceAu5$w^sXptm)4-?&t4*JKK<2F%i2+jPeoDjW*nnOX$P#7$obe zk+ z{`BN+;Qj_44vP~dzVAR zs85de-Yq`m4n4e~5)N9kB9cLxqgTE<#|&ZR`Q%er>aiNQ(mgaLZo=pI+iFAj!o&bA zpV_7`^aaiSO7&$)wpcb`(4$5*M`+U$(XR%a7wm;;v9%x0?pUZ-bp7wWY0#3M6}=iu zRoNDyX{-4ND`Bv_&U%pBokPci@DVf9@srmpoT;rOQLDJ;ss(|W>TmDy=j>WD!ZIYe zCO-&ccpM=53SALHKPgLp$G45bVr+0U<+*I}&ftSXoz8a}FxOSK(U6gcuS z!mJMJ`5O+wVu6kgbHVSF69K&Cub_)^IbQP$UkHwH9c*c)j>X8nd|@X^zM)#AZe_*H z66+&j%f+}tHe6T(2Z&7~B%?}L5}3596e3`vH@%aYNN&cxOl3ruN0Y9_6Z%gb&T88u336> zjH1+KyRUa=C})g`y#30}fAoqN2gE8>Au-b=jCOdXK@{}g9>7B9Z&BA~L*dS8F$tal z;*k{2q3rOj6pYWmVOklF03pL?xQ06Ou7moLM$QI1VE;=&e$fuEq(QNx@D#RUNA4Tk z)R3p5o@7zdkN=s3&w`S|$sOMrU?#4T>d^G*(zp4OuZC(uxI)~285P=qUBa71 zE0#QZSWm}W4g*k@mpXV$+e7JqlO2mk^QM%B3+AU;2`uZQ82ff%T>*^0K!c;AM%kV?Lb#|U^TPz1jr<8(V!~pH8JU$`W44- z;>z8IKu--WkKpriF)8+FkPbtqIN$p%l^yL$=gm&SKEW3if{ED_P9e^{94FMGLF};O zZI{6QhvXg=7DJ7PV$ zA;8?f+Y#=38txutl+Q$9tN3%nvc_FkHCL!F3hEA%96tW1>LHcETFpUFy*)W!eB7?I zzqWiQDYEa{ucvaq0e)ilH(;m2hpZ6wbZ^ElM~gv=5KqWofbAdd)ta`s+6kAkc{0(E zg*;=U6>>=7e?10~avITmgG63tPTUD&DL{ zevIb8rt$?L2xLCEcKeeiCqJ|pKMRdhn|!R|)A%+mm>+^tEvw*sup=mrj4P4gMjjlS zv3xHZzIabAyz{ELVxU6yO_jAU6CD&!Fo%tq+jfmp&Jf{4 zGK==A+2n&YDv%$~=Zb40Rcm(QxuuNVO}W_)7JJmou<-=HD*>FTYvaQrd%{%jgtdXr z!k-HgPz%4iRR->zL(6hjBA+ik+uT&g1*C4hTntbcSwjs%#YUNLoF(8EmUgO(j4QCx zI_Hv@;}^?r+Brfg%#tOVN1adLPr1B6OO&Po6)bXC{QJB=pA7o{k~gZ^qzWko&0`8 z@Y{$~I7z;nSGv*6Yz8%TT_B&Kv4MXi@vrDC1J3d(Ny*?t5cmNXS1XExW7Pb0O!s=C zigXZ(SCfu2hQ^7TJ}14K$GL`|viVIJc;2(xXk2Tk85}J$#V`1LSt**2hs~z|@0k~j zF)@!<#D_srsC})cLWegfA&h$|dA2lx7W~5n zb1INNhSmfjQWl!ABp672+vXU)lNp}-{-=ulFBJ1?2eCcp%~%Z&7@MWIFOFP(2a9Uc z|A#c|fb|)7k-82s-qz8PTM{#irNiO5!-Bb(P)ojidu@+gfz9QCucnV_QSuj3NNW#d zT=V<*rN=u}G2LzLw)tjNh-yvcy7dNPktpRd#UPio82*qsZsV8aMGg-5&n>)n?r=mX z+1#Y{TU$!1{DuoLqlu%ded@o%^?2j3#c=?shptL|m^8)SW3B-Pf({HM^S<1nh;{}N znt(J6mqRUR5*5Bz2w4T4%uJ$v+_PKR81oK4etfNCiGVw?on!sgx-We?hB22-O;5b1 z^$Zi?TI`H7=-=&bhyt0f>w>P1B3i!4rCP%pIa2S-XU{~|vE!iPd(at*rQh?Z8J8mt zrryEbV?82*EOhxJDh-x|B7j4?bWaeeAk97A3}RG%()aJ@6DI1(ipnmjdC{|9ddS$CK# z>KhZyA5^3(9L>2xmgf^oO`Xo=w>}3X!Bh3PjJ;04E%|W@DLh*zhe?-MY5IOp_Z~xI$-whz9y8eQyHZEs zwRxOB<%$7P@P+Q3aoh%#tc23FOZo8eKv_q0X{r7%wghgs?Td!^(5|XJe;k&w68Mula7g1Kz)l0@m`zM9g)RpJ5 z+jRzV?_~M~Z}_a3A*sDg4bzc4od|`IpW`k#r1>r!r`&yF9Jo6vK)mk{RdZ}XB#bwG zr64|{tg zvhDX9Y6^}e@iEbzJ|52aF8YS)%>iw*j%r$R^Lb#?lexRS=KzG zpu0c~VhEJKieX1CR7-nw57&->fidxBeRd_E746_;8DhYOg+1@eWf2?1Edo}M*3XRj zUT)6S*A2zLe*FYcvFw((%0-wzmZxCk2o3BSyE#IwO;$g(PqeD~QToMZO{sf7`k}a- z91VCI!S~K}c>_WxUn4t?p6{;DA{FGN#bGN;))HO#zd6*+Mq!wh2UD;eZ7{lBA*&yC zwjs1N^(c9as2bM(6vVVsCljbrXFF-3d8-iE2PIJFh&LFF9%?ytM z$S^ojhH0YzUfeM3D+t^&5EK-4@AZ{cGn)P$DT~J7=XY9G9*ExDEog!h{Jq&e-6TZ( z3MZ_GDeY2C15>~=+i>`HH>OEzTd)I-5_ZNz%DX1P5=%rEy6xJ3Vf77;Yu0O0qIE43 z1A}6-n8M@lIx6HoCa3(A#S3!?XfYoeZf?r*4Atr3+Zar)QR?k3yv@dnYnr?8M3uAb z`Aru8^GRt)bDO>W9G6>(reE5(_1S6)f2RTdB@+A0D@$wK8S!A3F2h9?EB9G&b(n9M z8h&)@EY7bVgZD1$e+Qw3Yj`GvF$xd}KMj95xv)Qe_Dw`Xp{9O9wNmkYbk!i6sxYP( zW$PZ&r0C%@{gnA92$v|N!=f0nw>2=^QQ5l(Vgh_k4LOI#jZHZMA7d?04k zCY2bXe;^Otl*W^vl4*&6=T7`r2~EN9PzHH_60mW?)|Urf`!hw2Se-s0Uq;h6EE5mXXP7U7f3yY@Q6sZ>-x7a-Pf&(BUljXnl#$ zGhaYQX!VRQ?uZiUkFcq^wL?+7Tpk9t?HN|_@>)swJ4d8wn7orTu0VazJ zg|r;&jlT0@k=kkR?jl|Z4xQOup4uv(E6I`#W!Knf2~A)5)bRT?I+LQW!~|Blqa)dP z9OZ)$?r>+0qs&qr(Rk>h@^gy&1FQezMGmO_RFFbPMl&Qm&P^HcQvMjyNON` z4p-+&Q*@8_c`Rd`(({herjl<;;}R9);GD63E1N`{^XLQ&`Vi>Zj~p@1{1Ul* z7*$!LPp!VjusHY@2tKVm2t{I2J^`HN?2 zzK^%PV?UJVQE#z8`sv?4hg5qiqsbks0!CHfpKu|eu$pu~Rrdd|dQ|I9xY9Ioj5X%V zV-}_`c4Q@GYQHW(-)Q*QGxvLzYC{EuB$gDdJlquopp_Ulb?ELsknK`r3I|X9aGs~| zTN<~Zwzv@`Q=OK<7M)|ooz+?gnBH$SSGSX!`aib7m4{b9<2j9ELW)fA+x31cS_++T zv-^c*UAzgu>VN|1J6MeF#oe}Xs=QVVhKkb%_j0pjjhMui(NTLo7ag4k%Jcrr>uMy> zZsS#25ZgC4B@+;S#>~#CuKtNCtVp_i+QC`?`I|k-`jU<}VQ}A-QTUomn($a4ohu|0 zPkDukgOao>Uv&LdIwJE)2WRnKMm1kV1}UTj0g_@BwNMxuB}@Aux^06FDJDaWY^=re zQBgN(fh1~|(uu?7gkL;js=2h7`z;#F<_!m{=Gc1FyQZAu*&t*~DnK}9=wN_Zu6A1w znw4aKZfNAHEzf?vQvu0DW|zS~MNhiIuLNN1X_z3I9;soW7*We2580qO;0%eqsy-*P z4g4AAgYZRs_JJYrjUw_+t&&hQ@jg^r43bAnS0K)t-Syr<0oEWlxg|3kd`UdmqBs6A~e=bP9H@T<@as@ z*^chro5TA3Yb^1mOjYm^Zb7rCZ0oFVMhE|4aB#U!Ry53?9?w9jKEBWOXO_sYF!nW( z6e24zOyrJ&WjjysU*%8+*>(!f3xh@~vi&6go*-DYP?vJrqyJDgT|bu~M#N`ypFNe; zPX|G=Lfw9T!=~%=Hy4n5#>A#M$&Ih`+2l>U8e}L$(-;|NA$Ri2{1HYUfyRp-3{4|A z_nwk-qp@wr<6cUPG*FuMa4(vg#(OHYF}9{L6`_~=Ci8u-fZs)CGII3dP|MN2?vsNG z6+5#r!Mv?QmwxP}NYmvYP_l_2u~paN9`XStjw4ccvHdCVGCcmOlzN zq9+IYYIhCJxlW|nvDaHU66m7XR0m+}JLJ%U z0F~^h{?pE9tW%mL5>i5%Ca+E<5DMrD!Z^y3b&Hc$pN6#14^e=0x|#%I=-EX?#Reor zvt^v!VZ{$C1iS>vGPCCsYXMaMQ0HDdY4idW!gD{xo|D1MNRTR78F=ul1uf3yVPpp^ zJ>sz-<0BCF7oi@?8xm*+^x3B{vLXuluexjw#NC zsI?9?BO(j)40SI@AzKIV<9O6PffzTlQP}*P#kdbfX9wymrxtCQiqwgqcrecR!(Z>% z?`H)KnYQ}FCwEc~Q`iD{8~2MCGG?SF%Z}_5O~?7s6)G>!>~0Gt=pa#;R4_w0X70gp znZL`M9sW8+b5cfDHnzjgk*wh@|7AoP!a?iN7H60@K#=fizg$CHHu!ZriZXPs3y+c3 zEv)k#^9cp@d7=1y(R<2lW9Gn|EbIZvhPMB@;L zswAmKABsVwuiq5@zN3Y>fQP!e|5T*$#EL#* zuroA4^l{I!Y_39{rtQ|S2d+NF3BW7%)6!Op#e(`d!)f9e-mv7FbOj92jES~ETQzMj zd=aSZx%0=Aa7(kUC{<43WGi6bxxvK=G&`)?Vw(6juw0=JvqgAGG{a!z3jt=dag9`MJq(U zHbS4^&pB&~=0c6f6_>pO(p3ztHqY3tY7;90lQ5pQ?m^7<^pwG2aMhd2uDzqDXGtfs zTMwO#zhTNO5EXBaV*M+1+pdG2p`Y^0(YszCzdkOczQ3jm`9+d-9Q)tSmV()yBP`Z7 zCdi>>ojWm4t*uAZ+li#)3eh=_B0y)NLdEr7U-y=EMSS;)=y4!$-Ze9zVrX zqxPoQ{4Bq{n6^_1eVBH`#iM7aZy*7IN=@ytMlZ5Doq_07W-3mBG^I3Q@mwWqhvM3o z`o^bcNYaiYMre7XpWi#53EdhqdK#;`Z%OLmtAC6ydRs<(_MPOha{1I`9+uAV=FDzl zM4*M=i9AOK*SONBrZiD}tt~{+Ld1686Y1@rXeTKU-Bvx|`~AWsig>PEL@z&Y3KOpG zD)nSvFs#V-99OoFoZx)e1U8N&F!yXk1OxtwMP4kR;mW&i=boy~EQSUG2lavCoQ;GS z#zOB+-3P64<^4(2$1Vxyd-H{sMH1qu0TyaOyXQ!)%fL!gK%7<2Cd4ChU0uxf=5x)#t-_`r#QA4a z!B11T?-@tpvP=bK{CFXyBciVmgdaCT*Xo~Y`v8v#T%B((jxN;IdX@`U-#p)HetsuR6Bqr$XQ2*zN*sICv>#KGi~X0_~Cz9cCQ zHNPCW!a*{2)rT=2lNYXZ>iFHF1Z_{OtNi!mVhG#h)VbdYd|;mHkV9tXVbg@Lu1h-- z4gXus^87B4eh|l;unggJ18;)hFu~VvA8AYc9BgU|2xO>W+`Myk>t<%&!bZWmE{rAr zI*HvV>yNp)=_RL1$vT!E1Ru{KsYAVy^blS! zP@m0=|K`1X(=QC#fGLq;(}70W8n_*n1%SeQg~YsG8}!)j>9(M>q(%7|huS)S?0E)# z*QiUhIa(}&KKpDhcY|1NfofCO}VOV&R}{B_x^D3KD;H@sDca535g@<3v3%I+bC>mf?{Jmy-PG^C9_F9Jx?|*i?4IfwcNC!%-{{&>Hl-;?mtXuntPwD- zE3g9@8GjC;U8$^haORyi=oin+i=KYyvX>=ya7(y1O(vW@yzRV|)SQk1=$C?~Of@Gc(mFaoczuQCV+0TVvR}jnv2MA!?KOJbOHSJ^u(DLb?@r>AhES9R4D?HHRyZ z@xaqb_dKwEm-ehPR3G5neSLJV_am|^6!)7N3O{d<0 zMw~13B4i6sa&)c^m^-D$M<-u6_g?3uIn;L}_rE(Kzi_TEk7SgV|DuiT0eJ6DHk?z~ zs_T%2&04CKiiZ?14_;|@aJ@|+p~5_*BpoyN?(dkB4U4zu?V-wR0DsgO^f&B3=It>P zedqH`N-$96eOcTZx#E zSF`k<(6(2)J&UHWS_n-ZL9_(LfO|ZvGKc;KgN^>RYw^mr^zTJAA?+j0 z51dX+H=`_u9bs0~FcW9}$+0(N)U-=YKc0wqRfyGv7`i}Dcu7tOY4Ul$X@}xt3h(6# z5!T;A{VO9O{qfBM-6=To+l1)qb$>1XuK=toQ`F1P85Y$cSgKV=G^E*ozUsC$;H0MY z6g@3mifagq**uCs9`5Q(R{QbQK}4jfvbxIL$JuDf($!ylns+D^>cu#p6|eDouYvHW4*rHqcC{*R8@C#Kk~u3 zxwSrg^E<3->qy(TWY!g*3seCFTF?yti%QHe8IR7Uez`NtJLNs4{h=C8%!X2pX=7~s z_wl4##2H7R@$BM|hD(KsD=rHSk6XNb3IG76uk1i0M+vkhRg9f!38b5$)YdH50O6sR z42b`V`UkPbFlDuUP@3B{L*X%x4G&F>vG@=;_hE?kk?8r4Fe!bHFI%G}Me)m$zg=Hk zsr3`wFz6hZ%r4mw&D7|&ECkpPXdlY767#!i9vx2xR8B`TLHB|M8(AnWe5 z99SA^!QNnXJ7fa~Sx3gois@C3PlszcmEh9P)i;o&Gp{HRc=B~$Vw&E{EKgpOIv`+g z)0zY+>T{TaQTld5WB%j|AvwaurhmK{p>`2d-7`!Mdj}5K)j6w+Zb$TDjl9eQ1Br4$ zNnEBGgT;)_^yxBDH1PW`Ddtj7RxtnFsr4HE%I}KL`s7{37=6i}N<|)GX4`Vbcdyq} zGRB!Cb*`e}+pCdj^hH3$xLLTDUc+7$fP z?U=H`us7g#F(xYhMFQ;sZv|WJQ^e^6JpHeaL>+CnyWyF^UOAv5`ztEU1@z0B{pVnl zm7y=*!*(cCRQDzA{2r5Kzo&_Q>0a`45IWbun-(N$hy6Mbon`X|=`Pq_OSb=i`={g^6fzpHs>qpmnSTU;!#GB1#WgOUab zqZxqT9Rr83(0MoBv`TLay4(ihxTnS`?KoCx;0D8gjzp*`)5C*0H73h+OiJUX1+Nj* zunPOt>>5{It9j-xRC;(%fEz4QMGB zs|QBTxd8o3Jb-Fu(M@lY(J9)NK53jMp4ji8z3cVX7hn2-je=P(@vblXqsZmNssolx zJyT1H^M#`XK)&KPei-9$QxrMKoy6-pE>z>c-xW2{2A>nGsM+c-VG7%t=b+@98Pop= z+47(&Iz7k*u35)fZIxd!VFewo+N&~t^zyyOo=GEET4A%Es<5Pf;Vv`@-O2NT%OOwyvQ%ZpWR1pn3 zpY2(9;))rAgsfEW9@*SL#oK!KS2xdV05jD($azI&9guFov&43L8VGH9Z(~;Imd-js zMaoW=1dcVew9ZMZ(~hBI0%MnURXGH2#Gpd~ z(#UTuAse34Aq^1=V=tlq`ip&3h0e@-c)E*MIwPWU1vLqeP5Jr2ppU;?%LZ9&RZEqL zn)y`#IN_bd=F$!x_rO*VT1%;5kn-|j2%2qB+qL?J{>r_lnfjKulY=&}dPo5@{(fs< z;qb;W*Bg&9VmB}7Lqap!w+Mf zC6ln1ZU8$2hQ~135R>#SWfGt0<0QT0kBY)e%Iy_ZvSbOTqT|b70opc(qnyn&Z|&QsB^|FRa>J=!?-hqLyXzX7j!c3(Gd= zhftypWR^V`vizpq`FlUHB<%?zc45Ht43fjs^R5MN**_2Dcuz>|f0-kk)cC`L$J!x( zisf;NiFh!HU6nQlE8MIU+n$mi+oY2H0;Rj-Tgoyj4E3|=B;Tvdn0PfREJD^qR9J?@ z>YRC>U>|xr)t_%U{_!*8JlINx1ZO|XsZ%~K9YuBf+Td7Bg?4;Su>0O%Bf1}EqP5s! zm8HLAkc*Y*#~NM|38%T`01vi*!}>G`!zIdg084BK4s*@d%TdVZ9Lyz{NqDTWmN(kq z&TfpIQ>-X3fNhU$+qP}rW81cE+qP}nHt(@*+jD1Gqkvo)->r5V~dNut)#AjjwFfV6<3t4WDNm9dt2~wrz zjQx(;VI?jgV&c`pKf#phvC&~fxr3M~yq*-X=A-?%6&w+aXiZFPcm}{Kew5u>R)>}~ z(g7keIfTp$kR3U~yppflOut5+DgVFLEWqdq8KMIh1L3vCp(1GyoP_*`aXl ze2DZ8E9}^X?;Qls;33!ZYb_)~R!-4RA3E?vl^g^eXdML+Kh=9JRTh`EY|Fb|_{xIm z#)n)}V+{N3t8S?S=@^yl@}9^3p6>%Gff60~R4=*6G~CHp(QlhkM)>K{YHU&EUhQ1O zOjLf=f&A`|qv9)M=K@m! zud-%uvlVv%)IW}1zgg-02``pw4I?(rF6D?FAzicpn4UMQkLb!>e@EgW6~^h5hvsAj zs~n0Z;^S&)?AnFL)>+SH3@OaCdx7eB+@X=mR6odCh+*Z=RI7`GeXwu4R zNytR{;4m0`Trw>O&1I&mpOUErR{MZMoPR)QV% zrbkta1ij?n?+!EmmRjzuHpGG|)$PsQ={9ms!F@TdZ|@Kh>gBmpDa?Z`rLb9L^LDz!Z#lbN1<3l@ z8Crx5RL_WJcU4i4{N*R(16*XZ^G}LoVAzIIg}#)xjl01@A)+4wyWY$(M;O+%6Gpb>JZWkNih&x$(E44PTIZ*Y!Baj&qyJ4phv^G&*3` zbIX)Bn6mv$l%Y5$qJx5f%?q+2_$o`88KpwTJsd9s(o@$;@(}cMAAt4nWYh8o;Zhr> zki1pl+BrnSndo*U=hB&x+Q3d62qEB3`&zJ=e+5LN?{d_wqeXgyv*>ViFZIVc*`h1Q zIb|~is( z{#X|{`g@sSJ$9!bjBEd1)H1BnM)X65pA@?8PXpY^cv6CeLVNvW00&p&Oh+qvi!!AE z)qL4Kme+hIsc%Z_&C)jRTnMgN?p!g8lt&CO@=Kqg4+3u|Vn< zO8ZWt^ek{8q1iEF1rAe-`I2>Mpkcb&KR6yKozlu^9gfkxoaQ3+l7~3e=>Dpt9SFgM z<)9MTAVXLtp*im!tN@Uffp{2{AgWGOlcps!?^2I1%rQeB-?KN2xyhGNxF<4n0wV~` zDh-)4R`jjh&=N1u9CaQ$yf-tEdBirbNK9e-+W$F7J0Y_ zrK6NV=0sZ20Jlz}S2mW0ktT zY$8iyabVs+llY?|Z(vhiZ~seXT1V6n*lJBqbEr~u`Uk*bMH!vX+xIj91Z$AG=>^)c z-OkFs#=P;(2bQ(8$8&|p-wC}B6S)G7HnP_x6XVaCM4I&O^FKg2mPOevIe301pH+AC z)VT;LIpvR+6pkG%9k=z!S~t9p^Fhy8k5gee9$M`ZT_z-R^j6WNO5y~rwMlJ~fUE!; z$)Wx-B`=pRc*-2T$fxDbI~lSqQrJSN8B`DY-=(XEd@tau?GWQhG@dw>5UhmIT|Cv8 zuN+QBUnZF4@tqFUHJ_7)MVrZ!NmTK1Pu*@1FK$n-xVKrQeB9_?gucPnV~s$n^TM#* zfq+7D798P&077yVotlFw$j5Rs(Z_kif$d7KzB_sNx?WiI7GQVGC!(5b(yam6@5oO+guSNk^%61vpI4DORxAXywQ;F5o%4|cE~2Y=+~ zW&`S~+{m-U!*eyO{NW%cJH)b($o6=AIUv#(WenW3CY3b8a~@SL~UJm!|Q(2_d|+aN%Yy(*Wi7kEN{0} z0beK-Z$Mtb@1=k2tFs`M>a5^Hu`|hF~7(~yzFo9J~7JV%|>}y zPJTI9%1?KGhV;Jvw2hSsndA;fj8h810GxE&A7v>NGg1!!`j0Ss#T1v&@lG7-B!Y~{ zm$MlPe_{)gw zn~Vmr-o@RPD{Cf-Zwr41d{WEZAO3yFqs3jo%9(3gY#JcppJt{wc-B@PMrjuXs(y5O zHCbhmTUk)u*fpRpzb2jKFWpexH3=?}?C_?a7>?!}0$2VzV;FkTI0uVGeS?P`b|jth zd(vk`ih9gHfko9e?2imJ*g1dz6f1Z?gD4L4@W!J3*g;3%u-`?iM9dL4%>+$O@7i3x znMmTJbz%IM@UfB@wsV}Vi(Ge6|Eab3waaC3itja1zMG}Yb)4UwI<-=8;<=!!-~-uX z@1IUNk>dW4Yo&HPwJW*M#WTwYs&eHX2hb5WUw^Q}_rp>A00d>h;(n}FN+s}vFqBYC4Xl)3Yh+Z@x_;5o4 z^>!^SO{{~d9lawvRN~($806w*D{0y8v~N!xyEXrUwJ@u^b&zB5x&W(5OCU#G7F(3) zys_Sq6bfb$Le&Rg8vqNhzP8ld3~x_I1|cffvtp{`ZT!pt>i7j5g9gymJ*e0# z+9*!uR7~s4qXQoy)GS%38~Y}OzSf{TBy~}L7lt&!R1|_3lip*_UisA1dVotIr+Y`n zB^mf4mYOR>y(I(sU83&J$xbfZ z0~{bRBWwjvkUzKb)DFm=YqGc9_i7QHl zV{5t+Ls&nhje-CskmbW@21`!mWW_m$nZ&=BmwC2+trT=XSvpI(5~Nd`l;F}{fJqZn z%#$$^u2E@<9Wu4o7FXgp@DBXIM^xH}Zi9Ku=_$7Jr(O`Bzb28UPhP=BqIvV5=0))K zOFBcR!*A_2;Ag7hel7ec#y}Vm%gs(4>sa)fKYsJkVt$Es>4(}1Aw+xX_DQ*^K;LTk zw<+&)w9dnD>1?5^6hU+EF-|egC46l;%=siDn>ZOaK1iO_F$=wk>8$@G8)%VhY zzcf(So{eMsHvHT)xUVg0p0!AQo>=cTdC|}cLXtw_nL@@A{;w}(pZ*45X8LCgZEi4i zG7*c+2ELF9sgic%z?qElV&j*ik(agu9!r8X=?)F|Sxu2jdc~wF9#e@$!^sL;Acu&< zw4W%2@H1|9D^^@9C_rR|-u|;9Mr&5-hVme4S2XGlVNARUIfQNoM(KC@dQ+(J?}-*C zZoh2wz*fr+{I#!m_p(t8J(0#eHl<09G^xj1!E~vkjs#6oQf$P9{=#ZWmc3oDLC1%ZC4-bL>Wlu7&QZO?QBhV*S^b|yWA$?RZUfuG zDmBF+>1U~!TaPKQnT!nVnRHHPDkid?3z`jk-$#H|F3!4i^@m5wozq1@t@M`$HJ<;@ zjNKi+px@a45&9dPX!IAVJmkY2RzGK*|Gg=b!aOubp4qD}Q@8$_K=4>9Y21YdtCxms=+P(`=iY;v+;+t1lf59&{>A-ICG<}P#~L7Nq#9WES-NWz zuTA$q^Et~i2eH`1F(`4g_QK?fp&mThcT@{uWlwCxv2^L^f>0$VjD`xkDyRa7 zNC)|M;i>Zp8vypHjsS9EdYB{O+X|feDLG}J%2w9f&l9k0Ewko15<+EA3_FwmmKD;; zoq2@igc`Pulz5QWw}-3M8vVB2$YjPD+fU#ZNQl)q+P!(PVdkKA9;)&I$Jx00B_9R< z@^nFzLSp$LS(#vS0G9$L%UO&lbQ^|mCRX7JgZX~Edq_@8z}Ikx>MwVwVzRuf5dH+8 zo(>e?=3GVJ;?2=HZM+cm`)sqMFeKb;!Ib1BpEK1uH4dG?7^GabWbP8gdvPW|;PZJJ zNlZgW0X}cPB#x^YBZjsl9~I7d#oq2ARkw&m@uC za{6|Z330{Wh3iFKF(OGHE%sh_eQot8(LG3Z0&<@!(?>ZK9DoXDj*aM=JBj;$r{xH; zTBRdm8K}gK^JRbs&!v+J8>!ZDY8?D313pL?SY43_HtDSLN>Mi3P)zmuYTu8}{775C zYf6S$0^fZ%HZ=Y#^`m14vy5ov->h6euOJdmu_eXiik9otD7(#jxO z0cbQXSc9J51uvo&J@w)!3@?rK!uEyBwu#H#nLwO)V4t^m6Z=4_e8tOc&E;E0F*Pt0 zmQzJDZ<_Qn!nQNnVRw9x?Y;Jzui5(+s!%d!CmUz-!^|dcL!`47b>6^F_EZ0|gIVo|ASfNFKk}T@fE$4N)cGR<5v8-bBRCiQVWy!lC+3 zeEe!ehL{kx?uK87@F}u5d??Yer-LX125$UAG6aujq*I_9egJEw3>&~SonL2w7<-Zl z%>bR?SNZ^KiYqn zd+}LKjr#5!1ZXv?IjK+qmgd}LdOay@_NLtJN|?g90F6GpROb}WSL-w~)2F_kA0+1DcMI*U4WL*!b zY;MA;I;@R>Dv^wHNEZX-0X>o`b|rsM&r-E*MelQ;PCVrZ1pqe<%ls_?2RdF(Pg5jM zU(KyxvQih&7t{vkPxr(@F)X)YezA!1#EG7iHh4FppXn{(D+7w7gP%K)hGI$3%9{ZoucWciAI+*8ncdkTf&A*tHU z&n+FAa164|i5a?K2WYsS$s$T%2K!mqUwgMWYDw=*N`% zkLX@^M6Fbo=h(+ULRn1lrRxjBJV;9$KMn-o9W}thyp@d5B=6e4iRmSdR7c9%Zy1AU z$9^kX$tm|uM_wX^aX!ce0rx&0x61XxZ->BPVN=u1zoQBV!6JXP@c`IWReaXiQ98dm z@d}hAhc&j+XO8{PLbi}L61%<)awPD64Q_>NRgM0dN|&DJGIdfp92fMQ92Z`oPL`g? zWHKBA|!5;0Qua8)narE2mpIq}YI^ zLMU)ABzi&eeY@~R`&gNAXcz$X>lQ4~s&6z+OSYaU{EcmSOoX3EC(r%*`{!PobW0b+ z=iRGdHynYqPo1T;?eM93M5X1!SJH_LP}V>Z>Wwi0?`2&@u`AR50gd7WH*4Bla+TG? z`zL+w-^Cu~^SUebM2`|qRsjNAE!elMqP4b_QtP^&nX{+bFW>8XPX{1Uj?!a_wUM%o zxTVI2{3b_~@D345=Wqq1iZ)e~Pm%_WRkdd>n#V?InhJYgO=|G9>S7ruCE(&^xc<{f zO7950hZu*&s`xn6(Y9!<3N=}ZA8S2TdpW*-HwZQIY>N}?-5Z|pC{~b|xC5h_+7*3H z3~-GFf#!c0cRz?8EH1@9)$Kc(+CE_q=2GkXq@nlUxC+wan~DBMa5 zKo^xdj9RZC5MVN={* zh^SSj#*54-urKnWFYqw~0y3V=&9K?Gevk}1C)7%S_H9Z(_WOPe2_ZOFaceLe&1NzNkdjE1?UNn<;T?&z zAl#H4reb!m|=kBHd0dk``>w zq3p>b;)gd(Fd-=WSn~E;9C3Wv6CJIN%~yH4tOgE=AYkv6J`}+GygD5lP+GO%=gI7J z2-}MDJE3;&aQ#tN>A+8`M=y)_KdB!#w>aT;WMIpb+rKLTSnnmY$;=LSm{i;uo^U zFgv_T4ov7Du*ZY;CPUyqP8O!m4qA z?Fi;p{oxYWwP=!dx9@fEy((_`8cIohE(_Xs&59}ga8SNQm1bU?U2kp@$1A~hTTSbE z4z8d^#~KbT0EqO?BKk3(*6go3P4+tea7JyUh2R?J-38HU6q(+ryy_|p zoQES|&+ftiQ8VLs$?s~7qlNIx_PBYDe$rKBEAB!9RCAa*QebA3U$R1zNAjG0_@7Qf zJbF2#g3R^mP>X0bD&g%Orv)|)&`&PF?4&CMbTOyC#iVh5-I{c}#4Ci8#ZU)olOpTg zUvLAQ1UGs0Ua(46loI_5Lm+ONRW7ii`jT3cI@mmUJe2U34>41z!WeuZe1|TwTsTTVtS&9oe|TS>E=@ zH&diKyccpjA*_HPj5xsdLKUI5k}6qj^mf20KRvL2aU1qg-)0%GkS47Wizz`KYm zc+2T;?Y{{d@!1~2$4&tHxp(56B&<#_wFZQW8`Je!bQuHIchP-?hJCn&A1jp08rp6h z?kyaooUQ_9cxQimrnp_+juP0glQoBQ*2HsD70Zn``vU_@7GaUd9zZhFwbv@#a=bUj z*plCybc4;H5R$RGwwRQ$PNU*J1P6$}-iQoiVcDeSP?7{Y)w7WXhy$@Xf?~>^(O~X8 zxQ;n0^dF~jyjiyKJBDTT#9IRAr+W(@N_i4iE)ayY;o-#%Z*Pneyi(n)Y@M#Mm*|WT zHX+c_!83MudOyJ#J*~VVkEPU)6+!1>AgtEm-_W_SD~dh`XcfkKprf+Ov}qYk^rz&R z05x7N5L}yjA{1A~vUgY~MyMQyv=|E#Elyi%el=ZXTvIGIm$iBT23E_VyM_^uN*dC7 zkQck;LFYSQD5eS2j{TF`(|DC#|Ixz)p<2&UoOaK_jkEA)Sp7mZF3JdNbR0p}>6JXQ zT!W0K#x8*DWEu&ccgk{s_tl$fdkB{)D?&DCA0AbR0yY2!SV98-G?FLZwgaDLA#`; zr?O8|VUHC?QRFGb(38fQiBbQM2WCs`NT9+J2x|rnaqxTJ`cs$k#sL_D!98$}*23tD z%8@#wljF_pl(y~5U(R}hfGS=du@Ztz#p@`3js6>ObkxzMy!L`ctF zDhO;@f)?;c3oWADT}Y52d0E{3?P`;sFpq9Mn#ufsu%9LAjmb;W4}qT&=#Pn1O-m$=npYSUm-QtH6=aS$>}LM)cqZrXrXp8 zXfU9!eKU1G$_cFS`(QRe-v%g#5RZNzHgX97(6r9}j^D7Ugjq8_2q^F#$c;S(%zlj1 zogl}6Jb<>Xe?}}{|2T5!n^E=em;lDzsyTqZ!d>6c_whG10?z#=CQt|wFApIE4bDE0 zeQ4JZfSBe-p*f5u27n;PH&bxC7qP<+f*!;c?m;;7n+^v^eu*WJ|K7)E6}KG))J?<- z+H+{v?}hx88pc*UE28X$1Ux(j(6!8c6(1}I6xfIiF7=C7jV(kmKGELXI%cfBI1dBB)8+f?1Y8&`ImsaIXWRSjaU|xYX4XX&^tbKXE)^>)2^aza5gbr> zxKsduetkBG0GJ!ZhZ%|y#8(}afZyi@L3RQ_2mi=H=~G>x&+i7`uih{Mz!!5WAySw+ zhX1df|7KvZfczHx+b`_nF5NG7r=RHiKR;UDv-x{_*YC>1ui`H}?J)37?6*|hP!&8@ zm=7>XEMWLAOH1H)K^5RM#MSlQ>*ic!9X*&?$VG%?LmRV4LD|(2%Xc2|44RX3#j1BmADT({IetCQpDDkS@ zs4pMk-~AamoKryTnwa9(O}zAO4p^QhIaXX9U%`8a;0CjHW8vp@Ew%@2 zq7!yCpt&9(+Mz87t$S{lfDm22#=oN@&f>my&5Uz9s?*(Zx!PXdI`r^iPNcqv{hNbvH-my*a)ZeQWgJ5{21S!imh86$)AUJr#J)-3R?@C$+b_ zqC&z(GBaZC?lwLZb^uzIrFBXx{L4z9%U?B+qv^rWPFt^jZ+<3-kLJ<6DF-XUIzC=&gY^uz+G0M zVv#t+?83FT$oXi=IUj)ab<$1lpL%Zd$+cLPD0^&|Jpv_@!Ecma>6EIWyl89ZhFeOP z+)Mt7E+wgX%xhY$O>|pXu{t6zwB|K^8?p(gg)PtW{+;9JkeiE;Wi(FVb?|7Wv=u@k z>3iusx{%z9=v*@~Fc3WST3LesuDDSX!|(p1yqkmUb_ON0_?m!`U8LbXP|heKO(wxy zu%ksc^5e+jwf;F&?i&mmh21n(GfAzf%X~6>TkW9=?^-nm)MTcnIlODM#lMWP{hBf8 zT-;$^7YTZhG;a5RMI_|v;rz)eqv~33wtGTMLjTH7k>+Li-rFd}6W!hoo`;;niEVc6 z zK=S%#%`)J0wEFq29sK!JDZB(Xnc~B7+(E|S&wt9}*u!*el7ok7ooorx;%xj&=4PT4@0Wo^h7=D z<$2(sMTPv9hK1 z`p&CaWMppDu+xfT5niy+Y+@344EQeo-50H-T^$e8N`#o&+4u46Pl54S(iYpC*$-eJ zzrUc%oQs=v2LqK6qUi#*P1fEr_#`(`7djGkbxft?_cQ%9cdlN;UFZ7U^;d5MskpII z>+$Z)&a>Rt-5eQ})JC4y(@cy9xU(M17w`D{1U6vs^>LE!AWOlZL$qX3C?M zk?ul-76Sq>FZchWPe~aFOb$x}_HYJPWqO5_XC09v>5nU7y$lBMvYW zQEq+BnIq-r7YS)7E!kA&eoEblg!a7M>%Q%|tycWPpG2J&&LBQ%2;7Vwr(Gxqw9FOm z0HZ=AY-z`UVy?5Cez3PCvDjpR*ym0HM9$`iqycZrmMj{;mNY6Q#}q?(g5ggd2QuDNX;a9_#h&t`lBcpB z-50MaPRGFXgn1f!X{xQo?%?%hf4<8R#XLW0{{5RG z-ZhbI84>;C&+qE_WTcwRTqn(A%`(YdU{Zc**f(R*gu?gT5Kl3&-@cnR{_dqeZ?=?# z;`pc5T`W-_P!kD1ly;XII+F)2WgWNmey#?E4e3E+>`7o*tyu3)IyJRsxJ((ltD+ls zxVK+-R6?v}ffDIAJ!=^g3CO66R;)ayw(@dCMVZViqMUCub(=VhKRUWqFP<3qif^ zA&pI4;UiJhZD3^8(zrR(V<9Mu-^0IM9&B#;J}94Sq+$f!Vs}@A^UIv$=Pt7we=C2u zEh~|lhx1hP=ff*lOYY$*w6n?7HvMlzs?L@K4;%76miu83GA1(RL^y_@8N=;J8{J{2 zB5TL#MOyki2xsKsyUT+y!Q*M(pd)DUTl0{Zv1ity*2grwS%kOU{4SDgz8aoXB$q@x zAc z^+frtV@LC_+$E`*CK^du-dxJ^#42{^2Hue^mP7V&ifCLJ2xx{`?XU5_{$|otR{`T_ z9~%HEM%pH&=NW94VZ`L)CQ}bRHS^dygL0Vkv#gbgt4Nt1q$)KV4dV&N#ZHgQW{F*V zveq@GeRu$`$_qy)3Ghz|K@Y3X^~0oJC2cG2%H~o}vL%&QRQ<$`*50>mgYS+rwrGGW@?O(HU z8S<%F#nW>kndX}H7q&E6Mc9c*dKZZRcFsSUtGIL8i3UbpQWgDDg96D5W$It@ z-W1L1D(#50?@oBda2==b#}lD$ebtt87g62Sc7LUUF6Zc@ZV)6Qtz+%Z z*y;Sb9<1wMX6OL39nEaDrW*MG)`AGTYyVjLm2j!e8;Ia;0_u?^UI<{Gg2P0pY{dBL)ES43C0wr@9yf!|43_ zds1v=@?Y)vpi+~!tHcRijGeyx88Q-RdaefN7?X0V8g4s+ zkDzl0`Awvgl{?;ule>gogF8c)ylQ#`Lk z1Ji2~%yBlQHqwcliS_0s*eBRZwO~em7$NV1$%AOsEjiLkfn7FvFrHPSgL4GxAaJS`kHs@$=-oX?Yx;x#p|PtmCDxXUBhH6 zWkLd;4@WWT0|2G_?GdIZ{ZD8eF?+bys@Ue3J6f=T97uV3?5UKuW3sNpo*#`}DH(pA z{3flsCHNn zgMh`ge`E0A9{3;ljOdT3mETSS; z^sIZ1j0Fpg@9~5!BlOYvv*>#7i`sa+TS%8H^=9HSGwa}$_1iOd@HqIAVN#pBWOx@^ z6Ibq&t_!qdvO5l@;6ZQk&TEkQVlSxUjhYuA-OarVaR#smMQtvCkB@h2^}iV5GHdQ; zifq=XY2?>n)sr~J5I}qC!6RJ}IMMp6q1r5{BS#EO(`8`4>@{A-QdSeP)~oV>O?91X zSnE!}5)zz02!m^)-Js8{zVH!^$&RR`p)yAEi)g^@ZfPlD6*pqvc`THs2z;~#? zHigg19IYb1@III@3DC$bD%~ky<3gKMRSU6r zK*aqj)L*PGm`=3!a4jBH$QzlmG@Y3=szIYs1bjLtO14om@iny`9dZ}RNU`$oVlO%^ zj*aA-(3VV7ihrgs&NyF-J~z!6h=ggQxjiZ!Pij0Avc@<#irFf94>|-lQk-$wNO(SZ zM8^LhrWKZeuT}V}p58!e9IRq*GGNtwjn|i8eX)yJQUK z=b6r7t-DpUP<}Lf<1^vnTGLdw7TVp@)8I34i<#x_9rQMO)!%w6bueaQ^+;}&xaH|r zp3P@=Uhnht;CI##2qYsl+syw4w>Yo4@K&6DR!d9uF19Es{5srmA%}_r4uF0k5jz1z zelKogA3efZYl$GP%f83Zl1b~oxe~dWiKgPT0^(1`XlNwy;Ic@b^}u<1MNE_HZTQ@p zMA*LbZcJY5yX@8NL_ib^8(54PjBD2Y+3U}bX`VN7mUP^!K8Q5|cU!nmYfa5o4Qe{j z=^_^o>={vtJ5Dt>3ZEaFR@|b9lhb=+DbxQekz0^`&=}ppNa&{#oSq1Euye+I@}=-& zxmdvt{52TODHlCB{7tcnQWDjSFfYV#+Gttz>oSG7bV&|l=iI1Q?Pra^_ZKrL6ihS^z6zx~r%Fh+nmhfRa`=jr!%i+_#pCmlBzx@tF}WiQNJ=G;0k`2{Ld0 z%-cj#&_!?p(t`876gJ`}-WD=haur3U^B7BR>U=45=k@M8uN!Ycr4HnUl19O3cehKO zAuqzszuRn~$n4Bepf!2F`dSKmt}Z#tN$;bywenSbtI9aOn)I^AWxli>Y?LWh*+pZe zh*b&|o8;5HXBZDuD_l&Yit=Fo1v>8KuPTK6d=@0Q+9Ns<$poFrbzpfm^K7m57=-=p!BTwo4_hM{R}35|H#+eqpX;S${NrFm;izq-6yAM>pcc;z`>$-|!8-D_o%6A0B1N*n|au%)V*+)eUSeazo6 zCYx8Y$b>9OrU;JuSyZj^k@3;-+EL&Y7P9&hitq3Qm>NMiMQs6@%O7;e>j?LylxKHw z&(2^q2|SC{24;`_@&7rGQpUsj+rjr`f|LXOj}``HOnS;9<3~)OlT2rsyXC z$aK_VuGY_P+Z#D##s}71_2=X{YFE#!o3s(qZG9Ee{kpi$GJOSE2=7S39k>;fwzNd3 zWW(_EEQ$Sma~D@t~Clh2AN zQZO4%G3x`qc+$kW$Y$PJ&zggmF11eYm2A?^4zMg)J4Ke^pdm>#6|N5{6oGXo;Rbdw z4VH;|2kgRiVvh&+7By1aD!G9Yxzm^Q8!Ao`XW9nwt8`)ymlglA6hfxCzX1Syo!0PLO)!N?G zTi!G@0BmSzJATw$op*pF(!AC*0FlxFoZ<-cr~!&w3lp0oqmvug#FKq-09a0%0MzvK z>_fXJ01DvwQ868q5c%d8rm)U$;pVoM@bYdfZGfE~ziH4|fL846A-@u_+U2#(D~4N#B2gOs(|@dARymG)pv0~z08}f7yzXNQGF;f*E+cTS2DcPHdit;d?-J%TPOsil~4@d z<+pmv9hqHg9334@9UE)EDuj=EwtSg1kc|j#&h`L-TiS>}lX8QjpyoddE_Nq$nuu_w+IF5c~Y;sPnM>6N7_;GgCkST)_UiCo9u_ zoU3=PKtHs`-_SqfySu9s3y}Kn3PAI_qeyS}A$ymW7l0t`9qqv1KEHMYe!B?j8h~hQ zC$<30`6;mfw%p;@&p+mWjhpCNa|e9V;0qsv(tp2v43x7FYXyz2Qa`gyg_5LGd0 zHdZ;VENUA(d_s8RCN5(r$G>S#1F)-w{J}M`!e|cm3i!w`Pp6jPD}fR5B$CT z4*)-0kiEmeTws{(neK9c=8q|0Vz6tGn9=_Z1yKHURX$RkeZttg9l>!p7a< ze@kWEOh0x&6l7)pKTWi8m9p^yTBz8#nOpxum49%}zZT5i1_V@bbhY{GK>;wbvatLw z*~eCy+kHG5t{;5-TLk=An*R%Y+d_RsMV*va1A^*`=E z^xUjnfdBFL(Ff#<1>(dQn18#)BEb1!tw<2pK zufC@p&9IT3sj6MielNz!YV!wO2rF|q-)6s@iZ+c9!xJ%Th#dO8I{Rq_+d+1K_sLNf zI=l0rs1##9cn(W@HH}oQPem*ps2|3O(~mbZvU2IIy^3`d7? z<%Rm=_HF^AVD_CvE}0&||16%p)K_ntE#Yy|XXC2|n`=Kl1->30G2|`A)I621*l~s& z?y_%1>1N3f1NX9M_MiP=hSC8`yYSos-ZsfR4Z>rPq=!~J_h)^G?UNt|>8RSZj4y|; z4Ap_PP7s`jM=vb51!I9|7rslxRT!;}WPLARxWyluv$1!%qJ!kfNeKi6Z>iHru3Tc* zJV=DrNThG@GipgAn2||Tk)==+n*&BHnH@e6(iPdn(&Uqo+Efk{Ajk)CVhSORl)S)O zq%z1ERkwr_;zKc9%^HRn6(jf@;o=f}rz3>FZlRB|v#wl#uvPXv?)m9_1_6I%N5znO zXe=C*J@qyoW&VjQ6(oFDHnXT5l}ekRnz0y5g4s_nLkw94A8$95aTt?savrZ&)0Q^G ze3Ph-fsB|zH!Ymr0uyNN2fLqkpgm&c*qeNj{JKamQQK%XV8de#bbaWpS4FjX3LEd_ zpp`00e#G=>pSb%Rq=KY%aZrJ?lGN{HW0%}+VtcuGwQtg&(=s4gtx4+$ck!!5`wG!k zOvy5KV7t;Yaejr@ z;C5N(&epurqrh819P0|<_uV3$9lLaH+y&X34k1dymt+5hK!g?Q^#hIUciPGTYzkS* znRn;y6ct(WCPqb!)Y)S#FS{9(L9dZBk$#YETXJ01L6 z+EAK%^|As_Z*Ib`6lf}QsqH(cCOPV>m>>?{ztpH;0x^7)1r{qn)qN< z-zn!jRA}1GC8=l8g3(DT(j(T&aOsLi8V%&lJO=|~NeFQ8clSb937jyqTJ+vorf`Bp zlQYnHAY%|cFTR=xu8Fazuma9Y^85loar-kX9w(`oj@_|)r#34@_Xj4BZkx6y4J!(yN8r_^z&CrYYF(b0OV7GQK`mH5 zC6YO`TDE*a9ikVkLifIW4|Y44oXRy!Wj}dC%+~aub9^omiG%;6k0QNc=v6Yt$=mq3 z)!)Xc-1G+ax$q%?Y@!dahG{VZk8W(3KMzdzE!Idkj#{^zAtErIxk@hMqUzUSB)D|h zi*A@ne-PTQMkV2(f|DK*b}2RR z3bLBDkYUGDctW z^M!NV!*W8#;3sT^JH8_#Gv&;6{ol0c7cw>7us=j~Al4*LyV8c=%kMR<3Iyz0oXf!! z@Q0ejst=bY=xo0(bfR0MEXl@EBT+#2imdTDFfm0iJ7-c>IoSimf|v=B4J=O%+~v$a zW%i)R7aUxDwoZ%p@G^9ONaI90KcXXZxp>HE>x<(z;JM^<54bqc=Odw)77yaPX_TTT zQ$jz|RzQ6H%Y_JG+}La9F1otgq4<#*~54E>xM@X214(hA4D$$Yvqy zD(%&@;67?y?!_O|*V4(qOlK-{>#38P==FD5Z1wKY4Ja&W#6u%k#2yQM@FBSk zmsZ?X4fr9LpfY(WF>4RDf1`k|;WVoI%}H+W4hcWX*nCqpkMCj&%r^C8uVRaD@d+?f zonIJ@c06go$;YdsIS;Unfl$lYvLZLUgwS?w$-UHTuSnkO3i>=S30hbv6o-5nh>$X@bIolXn%PCu$jH=OH1RemTVSof3!rZ~ZAJ^y+31JwDw$QtTd zd_Br#X=!onJ+#o0qY$a}yNvzR6M-9tNcXFPpf|_c^9tt`4IN3o0Ckr1x_A+VrS|xg z{Q=V111ghAs@9lTM>L~I%Kt8wQ(Mg22m;MNPFv{50-KL=y7M7ad3m67eP~G>Az3~k z{LMvnJYf7M2}QY(>mlss`E3adG)uj%NX294SOw=(ZPR zx^d(0b`Q+&e}lw>__6lhrZCGIa7vY`V4*kdf5R4`{U-;V>6D{9A(ZK&%ZPHCu5^yL z31?Db)$dYIxamBMJ1jw)^$NTOi4IvpKxL10($?@XdK=M4t{3wmy>J8OSBenvZ!8Id z0$~;7_e-}q$D-*!@-gX23Nh5?RWY}1#9+6Z@IQ&RA`4?3@UYZjgs=t}^Ws*>{gM-q z_ycEl_0?D*57vrf(@ky=T0}$~TW3HI)qL_^lAGNChd?fPwAU!cpgZiz`%(`H}3_aYyvXM!2l8 z1`4=fI4LF8k}+9<1)Q*} zi>-VmozA?TcHQLZhNqv|+lWBUNVmyqUp3Gce~#2DEX|Y!m_~P zR0*n@ij_179$u||re7iE&X_Pp>{7jl^9fZOjz*rvvypHVOUV`VD=Y+2K(d)(YYpY} zYLnbtwqU7UxnF%YI_ofO=4K<0sOgKm`ikJijdjqbE{W5{SznT_oWC-6sX4(X>{#QB z)P$yOfciFp{riBVz&Qq@3>Q~r3v9wo;1=5&e6MA2bb3dP!K02l7FE&=EM(-cQ;!o% zklMC7fz z-7O@Cu|LWBXg+x*5?HB;QeV^)i&8ag2wIo1_`%mzF@asdYO7OuWfWHCC(|C%bJEBk zsWc{XlQqluyiAd!Y9*5u-mI{;uw}pPL756o_a;x4kFz*IRUvpaO99hW?p-l*4Yr;V zvv{n$S7Y)<+T057;504Y`|M&?=9AHNL31Qwp`A5eJ1nM=nv7&svc}O?pZq3{S9f!ZBANHXLqH#svotg)HA~&gl za#S>Fm)+h^krt1^Hy_!SjaM6_u|x-NMq))3-c3IdqKDO$hb0u(!wRRYN^`}cb^1Pg zzv*>#_b#K1E1|Y*9j5RM5giw~j=o!2DU2Y+@as-wy)EhU=#V|*E~OU=W{dW=`_VTA zh<=UC!i*?x)52*^goAnfvA1Y5!Cl9P`2?Ky3iJ5fXwx@@Ll+fY=hil2%t1>+?1B|` zO<-BRDwk~vtUKC8G-(TRa+zD;fvy4rx#X`mkI>1b*LEJ^AXJe#ffMw12jR-gp|H=p zgYB;ieYzK!xc%IVMw%>$ugA$-a{!y~OL8AepR{d|T&5m&z|b~0O< zT<9BnHyE4sjd~oxV`E_5D$$^lQ@a#*r-FZFmWU^>2lmdS`b|Fjf0BC+JK0@ebj-uc z@ll@9)yNPxJhb^S%KY^0*E2vK->9W5QWeH@O#G8gk#8IfKlsjFRCSAl_ec%d|}OR`2yGwx^y`Xz01iskBQ@#n)@WZRQ{X#wU?N$ zaip@u0{aX{Cvq0#C)<5%I9*ZV<;;A9#|jtu(&=hbrbJ=plo9mZsZBuB?3RUmJh@Uv z>h$WdiF))WxGrvD-PjyM`D9VaFwR8Cphg)rPuI9p`WFv?YkD~|STOIfAdKiM6ffKl z>LqbAJ!V+mvbSgu6@}eMH7n+(>wNrCYQ&Bg?aC)~C#+V}MN)(Fev&!sUhs~a=}dJO zEXWOPM`U<-cfEDRUMLUoM&sf)W{n8PIUGi9cHgk~jGf9>!I6O_&pW2MIMnJ0H7kR8o@!6>L)jp&RM9*>)tW3AT>HgGN}a2=@h ztd)Xc`C*${$(u!`xx|E9Nk&GQG2Vejq*zpCkS{m%(Z-c$vzaKXqCMaPGGzl78iA1&Vvyp z`ry&m)9;u{Vk3>EvW`J+-(3oei(Z+vV8eUqP_qK3xOPi}7I;+^j*6h|O;w~!BoYjx zVEyy4clGX*8)?5L@;HT*=|`e?p0rQX(NvRl=~Gp^7xRtNLFT!9cE4bphK~`aOp64GNde*BN~?lYVBW1U%w zBQ@#xB0{i(>#Ji!#aG{ZDNA+of%l^O3L)0rrj!|`!; zBStHp<$vDuPxgB_&{OKt9KBCCB_-cNR{h?CDqf$FFWZOE5pd{8c#jD1%ZG~DrI2UE z1daN6@#c0$oiFl!*@3*V&w8c)0`Q@ zvx4}Amc?`=ZBcxT5*tK9AS!o+P00Z-us#=1VZX41Y0Nfxo~GSmTh(Qus65n1vJVz> zpuX+^tRx&H8|v9YoE0o~0I%XrjWPdYId0|`9x1$qbdcVPpi8U@BhnuVVVHBura}gb87SSGs;x=J**_*?z1qEzVY6S%bOB@vNaLJzA)b!^|Z4@#M;e{uA zl)*{1flmIO=vZG)AV-eLlwsX@hF_{j#9rtc8*3kJB4Yk)c!5O^7Zek>RHvQzA@epE z>xvwwMb04}Fjso0A^M3R)H$R!qa%o92h1ZxgK(>VD_?1J_SjFvpobFj8*Btn-1tmr z2$MqRmd9M|x}Dn67pb%WRG|8)QBUcc3%puWBB-FuU#%yJbrV+12l?H?f($*rC3;q2*82ap|E3gI$mx$PY@TU@}`J+s)vTglpR-ak>~15z0dy6crk z0e(snPBobtL>gRrl)sS_3nx}ra*gi`?YjD2QMJ`p ziXiLwpd;-+HMrEF6P5Q3d9tvdYaHZOZIERf957mFH<7F?hJTSW6GGWU;<2Yyboa z)V}jz6@?>vhpv1>;EkFz=vLW!Jd=p%Fsd14RoG;m3Nr|&07I)6@0BvU{9~`E3hoon zMAA9ATXZG6UI$js({Aa3RL!_LvkgJHmS3tIydb8bl>&t;Q@O5-OW*G#=dX^iHQwmp z)GLS29#Ju_8~$oq?25EeFbLH`r>?52&?%;3tREty4JC##tZHR>2r#+oB?=%!uShu4 z_nKOVOk{?F@OIimNcJeSL2MVw@xk|+z*reQaG#rWG8*m`$tHLAoD<;KGecv5cA)dG za;g~&S4#Hnvb-sj42lx5R4UxILMdV*HnAWZX$i%^tN7}IxO;%ULg4Ds$-#*qr_MN} zi8YRfYwYzIV*A}>N{Sq1>!2^mcLpp`Ky$M~v(yzBNJlc~*dRYNzh1^@M=3m6B_X(2 zYJuWu87%24-Nl4cdX;+Em;L$crR!?C;S9oZJi=I+8mLGl$m%ICe0&lL>*;w;YhE_8 zq3i4v(Hz-c>Y_82zQ&K)3Q<@2(M0#RmAdN#&%BLk4rx-frsC#~-{f{lTTx+umYPIy z;alr@+i>5DS6?E`x+LQc(4I<3p$JSZ_)3%di)K0z=i7H8RJ>n|`{663PdXRVOJV|2 z{6tN6rZc})$q+ZwSBM{~X#yF_s%=g(QtGGONPw5vfnR7U!MFGWcpc3bU^pLUnGBy_ zG8B`iC&DS`5OX!9*qFQ>ufwn4j=@)Ff~YN;uE?8m;Maq!!-adwrb5>qxX$I>Trusb z`r$w)nBRlG?dK0>S>2NtK5P?dAm55!rxGuqZUilo!Z*($^csiMb9=6=fBF1ojsOv-+f^MnSxIRQIYg`;w>shJGr z6aeR)VB^1*7=K;3g=Yky$maHqEUg@REhU26EE{FGjh2(Uv6>r(Rx^`iNB<0Ue~=PW)@NA(Op7Y>a6`$tbB=3+PMi zcN90cH1x+C(W*-8X-mlLmiZXkXv^@z5n_72dlZ%0bw2$I73FvTSYD{-j7hy`PfXLA zr89F5BvX^h%aceei^(Cp%FD1Agx#?*#R)qkh^Zu&c3u;Ptnn8?ZH)2))nf{2P zAa+OymiD$ZRW4thsjW3 zHr;Zj_E@RX#>3=vJS%_TSgToS&9iSSytlZoRS~{ak{w2UT_u!OS&vupB=Eda+pzQ6 zd)dftwCOAMcZW^E(!haYB{b?T5UNkFyOADhexc0ob8u~Wo1B{S%Dv7eR^P_06q=fu z9SQUUTS!9hDs=xH;nKkiJXr9{5aKycwfnj?G`XfIHg_BMBYSoex;97YVIFoMt5a^l zEa)2>bLSs~jZWV{C;{m0>S=qZ@N#eOAnRjKqTlLJTFWVOZVu$$R))9P>r|1LsE6v5!mN@%!Y1G|fYsSKx{ zIk@-7ip;Rw7@Im$KOWCA6;U}T#cjD>h0wQGDcF--s#JFc+ApQK(PWh0#IoS?#E1g_ zDC6rz@%D|_t@<(!26zOmmuo0jhzHkG0zK(lM{_y3IS~eqHuG*Tc!O8Y<{TpS=7H!Z zS)7nI0~|M0-9?Whs9poQE@IQL{ci>|rx@PSOw*^|C`b5`FQ~GM((1M->UHGL_L4@; zgVxmRHuH~dQ5>--IdZ=E43PEWkklDiVy-7H{PEPKbw?NNCJYShA_qs^tBG~WfZvSQB7bu=KhSisF zNJk{xe~pN+baC+35H>0SrAlOB!rG0S+zVle{!jpO*CR;;HBu zRyT5_X&!J997_xR^J>-PU$n8?G2XdwC#qlt02}RECU*jC@Xw2KAepPKdH<8KkXpwf zK$`UdPhhX&6GrXm!B1mf+K2ARPJvRiW3!!flioBfo|la&7rvB{mH8YJ$9ru3%h>3r zyWsbG$G9K`%j~39d!q43Th#9y!*IMM=Y`pC9X67)O52pLw~%Xzt+j^b!R$0&3!;_S z*p}LzM>0{>sg8s->%In2??otU>fv_;p7EBguCSy;@ENPFDcJRM6GOXPHPFl@SxW0W zI&I{RAr?0GnG}kzVkZ9H~=}MU{TNm%3Vg-f+&u6*S z4nih2tneX)&Ka)+O^2S=Ka)7sYFxGS>Y*tZQq=!iEK*W#F>t{U#to()=m&a3BbL|5 zLid$baXKGZO@^(|nI07>-Gp^3?z6LK9cc~*%_da9;<&eeveVFbXlVOVTE%#E2rP8; zCrNt77PH9<>dyovkJlCT4$%C9|J1bhpTL2q<+_ zN24ZJ;Kz92HHrTMrepRNw6X;pDxK~A%QL!t+mn$N0L%Np!DaHWGw&VRp7u1Jn`j(2 zE(iP_lvLu8{arb`eGi9&IAtAM9bO3ch}j+t1y2vEQj>H=qAH1eYDY4ScD*+yMf#G# zbC?;jnc(+oZ(TZbSbKEvD}1ypqsSM)C^(Ybt=?N2F+`vdre*zjt-k#!J)HnujI@v| z+++8ER(f|kGFhl{1WJhErKTnr+>xTJ?->#t_^$mr@*lY#Zom1WO#)+_X-%K^yZ&!N z)1}%hzsb}4P2LU*iWFZb=vdLtb>3}c!qi-Qwd@xqrj1wy-3i1HyP$I@-Ta4cHj2Z7 z5^h8n;y0DizMk`<&w*Q^G7qS_<$t~R8?_!Oq?ayV8qPpsp`VsJBy%g7S{|0i$m(nm zfuYN%Mz|mEb?geVit~nCyCS(LmQ~mJ$~>6bpZu=g<{tU;?(zU#W7I1Qm;Yv9c zz>{U6uJJ~1((q_p6c)2Z+CN1`rbp9fS^h0}UlvVWPsCd!$U2epedEGgxrg9LSk{{( zgi@XwAxVarQ>`%Q_nu)}7UJr{XS!Ewb_-WA^YJGbY5lh2zNw0!E4%-rrwkj;Y?4~q$OBi^<7>URUz zS+#_BZKcb^Udfa5+WM?H#DLWxb;NuFEf4T%*%ExYGx$8y%>0d2&FPWYGC?}aJrc7i zF_WJS9Sf2!G~<(IDSfn|?s_MBsEu2jOTK496|H&xSJVzCv|l6|!(u-r-Vm>CG!`KG z7EE%p-n6JX>sHq(RKf{pXvbk95wS11E#)EKnJ(iFeA?&UH7JT@Mn=6SE%?SYB2@bY zPUUV3Ui8L{?xD?MGA<&?&veNB(Uuukm`GAmN*^D!^L`X}4-yyO%ytw^-gNdo(t3J& zuRin0Jt+UQFlzu@;3&e2Jwo$S)NP7fFzx|RE$dk!n<<@MS;rtHIEPS0Q=drEtc5%*@j1J3sJ=yI@8^;)D$gognlY`5nj2ehc zw=C|xZu^WBfK++Uw1*~M2`|c9Ab1r|oCp3i8e1phqKO=2TD+_Mo@QJz7LRnTG8<_6 zqG1rm%snG?MKq7n3zh2ZiUimErzp_n>~;MP#~it;C8B_Qo+a_=YQcSG1Sv)wA@VmM z=eL>TnF!4T9yg<%(;QAjv__)@kJ(LU6y7HtaQTB(L<pG;Lw$?zfosjgkKhPgzbDJvGJjCteukKbZ(6Ak3ZVw+kJxlKClHlChk z%yw}*BB{>P`+|I~CG5_tGPgVD*QlwwUgz;@Ut+fWd#yN}NjQ6v$ArsQ=~wHXPq68Z z%>5E1cGCeWVGe(giQ(^ty^Z-Tb^4!y$PhH#Qu*&Y_q&l%gVSDc@m&N`tdoWLjH^my zuUbQ-H{&%!H{NkVH>Jx7)b-MBX68;j>r_NW*mkwJecb^h_veiSGTd_d7c+Z`*!Qc* zvArO^pv>=UzDrzuP-CJEwwn$1nvRCvk`LJ$RpZ55OZ9}u-3q9XdtZS|S-Jy;h z&{!%%q>mGPLa;dadLT)uC{L}7l?^m?cRgz`fp7IJ>_X6NeGP5FF;`xBbR?K1qS8xQ zEbTkBRGkX_F(E;AZ1eMDky8F66m9xir;U+je)(X=$JD~#cBh_QK5te$G_{3>?CY%U z3T!#b%36`GlcbiiA1cNr_g;>4mOmukA3t@;2n*6`8Q0&}wmzGmgo_7d+jD`9I2@mU z_KZ^Umg5E!mr#d8L%oDmieB(>Hy*ND8TNTT!rFGZ-Z=F$%m+xqAaL)&vmOt;e;$h&&2&)`ZVOGT|dxg=g6nG z@T<8$tvCPPxJJkol^Sl{u=)0yXLfAQtBiZy@39CI_m)Y0W@n8GIneW`0VB^p2hk@> z;8xB2#C9wa@Kdx$MHE(;lFeM=yNA*-)0d?mBU$qOVh7#9xeALrs7=>|= z%ciU>LfK@Auo3G<@;B!!*N_YdVZ6U`xIoJavCA-qr(`rHI%$CWg;Tn4s! znIYrPUeg6vdv~vCh~b4q!JcvxDL8%+XQ=4JIhlVS{q4nqbGyQbmEzBL3P}*MWCt|d zj+_+fH@zw}Wq*s#o;|%g45yh5+C#7)9VMn5hcN&7>BkMO6W3{3xm?VjH8{ccb8bl> zANel<|7~_&=T;OqwIwi{(G0;jCaZUI6!<&&6l45Qu$nvYg(zl7!R5OjijEgcC!GuM zd#Q24^vI@b57e9?DXV#|rH~U0xBdKzzFIc#b^KnC!q(bdt-m>!?MHl9E7Z{wNnCGF z9|ww?bJ1?zuvT_V!<<{XtN5WF1CT>ZKdD0*K^C+8B0g!nf8~@@c?r+z5CM#pph^}Y zDp)nVwJT5;Vk zw){lx1oK0yo>saRR~!5APOg-=JKl8BZmkJ~g#=v(%aZAb&6}m4o~jgzrt$^Mnh(JV=MF7*lJuWT9_z^pR;DK9|_cm!9IX6o*CuHTU6 zZ3VWUEbG~!_A8`&ldqkxxl+!8W3s0L)e+Kz&I8H##*bdnr)To2+&RCD znBPI>5i)$f*tYh;dEX%QjWZwk(6qKcrR@JbIjhAb-*GUgZ_Gaqej0*Cp z1Sd1*#J@MS!Yt#)vEHXi2%~nqxE*qn%d#2X6Roc+Td+qn)O_I+1xI~g`&H#GOL|PE z<=_K0?qnyTr4TRnM1yj;Z|#?Ca5+zd;IF`H34RS|`+8N+fuhe>doKO0}9LPf*C3U%#d&nl-_iq??Ul+mh`F zl2t*2_h21sf61;6-i=cyX8%^gatp(ecwgkV4nqZ(>ZXt^k36Kkui)FYE2S*S*}44rMKb1y>rscf^N?shUT!BH5i0SC*5AR?Vd<4#P<2AR@prNh@~i78d9 z@~ni!H7*t=i|{iWW$-tbKjwhiux8lI{PfpK;Bx%+1D#=(73VHb+SC*v#C5Fz-`vIlcVp4Yv_z$z88d4i)a(aKDk7M8Z>biE>8 zri;wA`g3s#ReEbZ=YqMLr7QhmdtnyK&7dOnw~f;MgD+r^_4hsDc_mXDRMwXU)_MT| z_=T(iF1;Whs=z5~l)&D)Nu5V9r91h`*V?{xdeMk?dk#fPmDP<6FS97MEa5ccfEq1YSCF}|tZ zGgYe6NthaXRyGfMEoz(nWWOWaTFq?HUz|`5oOzsKnN-r;YWHVPsO?#Z$X~&fo^pfo z9`|LnQn59SeXzAiVO*)RunwC=P;#6;kIPzspXjryIoO9Y-Mg3N??H8|^@Vq|9}F@tWu%#k$n&7@O*XXR%18^H}CPLx^3ij`camtB_XPy@6qn>=qP z0~2)|#gCqgHp}X_eoG}7wmSTHjjw~=Y_3XfP8Lg#^X3#FhXefJnc)T<2#$ajkykVK zHf_Lp=nw3X3*XEBxWWLmcCi>JF!1@PuX?rW@C>TnvhPaJ#wgs{7;nKKV1ZO3Hf zx%>=RiDIc5P4@LLv?x!Z$U7s>q-AVLO)|fMfo%Tk?lWiV*sRO31skEqKCiA7i2?FFUyi>w0{Q0Jo4R@!Q@IWH!D5O#8cFTf8}oii&WRZMzgFl8uL_$8WO`I zMj@J5(1(%kfZg!Vg3tQx#LVS;;RJqqJ`z`a9sDcGF&q8&c2&7jo>(~ubs&48n)Em? zO?ubs<*WQDJ)On%V|3ZFw>J)174@vWP6&CSO8wq;XYpC(_|=QkWxO{t^Rq9-W6q}; zLQ2}V_ET2pKl5Ph%5%jAj7Yq5p~#CP!^V=PBT_E|LU?#AOiORXT+}YxqEo6$sX@Qs7e8=RxrO(& zBlXHHZW{9RO&QjjDiA9+h1J!0v+TD{O``NjcPQR31-idIWa;lu8h35a{KM%r!#L^< z7$g({3vlUXY`xcQ1G}-{NPzd&ycmdl~_CVM-RpTFh=>1;5x*=?yel9)S6FZi?`UCe8ocwzriSkU_Jkd`an(KV*k z+%;xGW@#STv2)Elo;!$HeV$ur0&hZcEb@kdl+$AhOwrxBv1Akqw0Q69%2ij1 zv`8G14K(-bT=i<}N}iC^Xw1EQ993(x4U*6|o*t~XL!4sa3-Fe>D}=R_0;~=rj4LA= z)tLnS3=qKJ1uvUdf4j{rFrUk&J^*O7+dJSMMJlECJmRzzzVHhI8*)~UNo)eQY zKqDyVQ&mkilgJ~1Ci3*AJ!`#WQI=8tv58dsZimWD3XhWL18)JFC+&(8g|M# zFr4po8dJk}4Ph!-`Fvd+_vw7&5-xm=R&)TBpI_C}>T7JL?>V0t*IzOCDZW~;_|}ii z?+P?yy@k~V%1Ki3xrD~^4~?dY#*Qt(6DRqSEmF{XCAHm9iLdGg_%*NJ$OivD!YoJ9 z=uI=5c2LI9AFj95&(t}*3&xAdJ(o!yLXBfwp45FI_Vz>KT7lG;ztZ}7JD*f`Ll3YB zrY+KrprWi*RsM5nb^Rw6Bg3kAy<&(>UU&TXZnZ(yzs~q|i;+x}nGW}lVm{3&Q^jyq^F9OAk?sr+gD9-wS`JaVZA*!Z0 zk9hEW+h3e%oRzG;3l3BItWO^lmGtH49Sje4{ic!pd#LWL9L!!(RautVPf5EKzAF@x z$I3VAS(QQP@kk9ZCX6o-L%-&T$+18`jb=>p3{+=Z1!IE{DM7ZV5P2SML~OV|wHI=x z16f&_OeGYWN-beT7Bq+;iWHs@I_$2S`W0|4&!1t-o-^McD_IJ0U#dijb8+NOe9T`s zs`R5-9$8hEb~v(yvSDvc1PC*%d3)O83}U-HyLT7lL%PchzHx3NSo=(x7o;3l*p0{T|9Rb(>9o)3u;%-Q38{Eu>`u1$>e$#&#uFM^+sDoc)MFEE@c!lA)&D z1sc0*JOk=%rp*8LOv?K}vXg6=-PU;osn)(FmB{NFS7*d8Uz4c4Bh}*C@rxwt`xE~* znBCWYRYR>-Cq`#_-L*+WbsH9AA^h!Ufju5Nfd%{*4a*DSksRxe9OG?ou?AX_FP5Pz z59#88owfsD&B~55VB~?!tLbKlf*O2cwmyM8ak&89d{T|UkUOss6Mr&^<`dCR%;>0% zz8-&OSnUS*_6?SRB`$VESYLEd3Nxrw10|e1?C{xKc8$i-0~v2otsVEnza_> zfE^TLg9TY=rWjd&6H5r+$~QZI?XZ5QY6zz9Ctrn=e49Yn`4U&SpY|&``sy$wDY5zw zLkuY8y}zhy%B4wjF;7e}{1*3WtO_>JV`OU3; zL{hpD>I;IyT*)!q(M%hx#;+YKmOa}Uo>sYd?6X+&5XYAwoqxvQ7?_)pX$nZHx2rdG zoi?1>`{qLuQS!q{D5ht^>?E9qH2BV8#`}CqADNLo2&U2S$L`>T) zBCrE(s)2-NLeqh>5mZJHaLNcdnYCt+y7?NC$`SjcB-iS z;^cc}5p!cs&&_A^I?YBMAiofvV3zY~u;9kPyVlcDj3J_)Hz~TbZpZ7buZz|hKbp1= zFJ4$ExXlE;DI8qF!O_b-9VTK4)^%c~0D-J5w_lH+_G~ko}$_AGxXTtHq2+Q zdN9;rnz2(f6;h<1r&yk%U#VN}KM7P$${FGJF((MJ5vVjD)JV8E)$fDNP*8Wz8Y$$ajEXnNmxKhMdMCt-Hi$}<}ixqVU?Eq`) zpaGvJ21!3p%Z@hyBVcCQ8%*Pl;y$Op|K}<{&d0ni-ejK9V)nOHXt;}{B#rob+M9tm zoV5?(b0L2Z;b{oTCReYh7+N&$E5=h?M+d zu?>uL8vlK3C`G0TVMngd+_OF3i6XTBJt%qZm=8`T=#dXb7j<0AIui^LmWLiHX0zs- zR`&t~NtAnGiBnE)+2wGk;G%d=3!x5&VDrR8d1fl8Gcl-7|H{@l)$R9SddE4Rd9lm< z%coeObRH;8D=CKr{wac+eJv{?A%;7?O@+>DXfx0GLydR6KV)z>UiVe)^xA@#PAtDw z`<1RJ2e%g{6@Fazrarg(^v@g6eC?JgB z#$xpr{N=Apg|k*jot?>P&Ewaaoma8*VEw?`r0T!yWqCY?C9^A-=-1KmB!X`XOzMfz zJpTD7JU1ET`_%5MNDVQhTPn}7!aH!-<=SO%!FbiXF!TqScW+7%p>h{6d+^wjc<7Bz zHl>??BT0!vpQsrT(9j);w>CAYnp6+=^OUYcYD_d9!e#?3Jo-y_;Efae9%4ophH}Rr zHY7!&=L4(0G2F>uzZJxD+-Zy-89(yHHo>8w(Jx|ww^X>^-gDGLE&K91E5GqhfSgVj zDOR+CCvvT5VI%dKFeLvj&6Cd@Vb#WCp&#C=ocIP4veRfE` zeu;D@uD=M6PF`<2tq%d=5c}I!EY4n3{$)|%}%}U&V1cN%ks*F>ha^-`mK0Pi|==`u)=PQvln%O*=s(;-)ZeoXu#LvV7lhio5hD zm@xb2N5$9AS`vfO7x+V&#RS`O9os+i-g1?N)iF1i(ZK|#UU?4U^1RFXSPS9Nx-At@ zJ>33q@RnvSwQ3n;&Ap2;>!efLbN->GBw z^?m-n;5^>LgOeCJ=rfF*pPGm!T7BbP0@=gW7${l3{`3WW`q_AnS7H+tq2_Q{b%2A# zLJ^u_EDC7qq+%qS@AWoWZdrSfmRJ)M#d(atxxsA%9&%EaO#EBUaecG z?_Udre4|{F-^K;;BXDe{dJ{Xm#4|SwDJ(3^Cdo@FbMs@iv+fBpyaM?YUFKG!k;NS& z5yL4uUER7QLFR2U2MdLF44$0~i*XnWM81EhF1&rftc?B$wZ|1)*-vh?k)Z2Jy05Y| zHW@b75V3&st5bRwm9ze+`;cs4`XHb(r;!i z-BDefr_EpQ38%tRa}sRJ`Zy{q`?!$CdUWa&dsfi{3HJQb;_P2-M1V%cy+lT?879Z{ z8faag(a}x?i{O-OLL;FHYhF7nTzJC6h_tu0zzp^Fc`yPk|8cEddMcVga!N$h^5#)5 z#%5=3=_mTnQp4#yS$~aI3ny`o0yB-wcMrZ~dNSeb^>d&3d1WXuI7JT$OyuPsVepJ! zhzAM#hsgNqYAScXua=#BZ%p%(e42lky7vaLc*Dsu5a&h!&hR>1q}iYZ)Z0@6o~hjH zU;SDA3b-)cIt7^7TK}H_{4WF0 zUI4U!2fWk^!oKE{heOaU8&zRyu%hJoz(9sIr36p2M?o>UF%N*9Fv#tWLlJ16`XPpE zw945*WJid<&+BCTb(+ovn@DpE@VPdDLj1EvXk{Y+eHtw&58QWwJbufz1ZP_${T^9|EZ>A)Nt@j5OzERqf&)wvqf6pND$4)_us8eP30p{Bz%YW8LJJ`~vxM zD@fK`>wPBwdbOK0$AaDibB8jB{p4_>@;%8lSU)B1zTX#@-B+tcTEoYu=6kz^g570< z|FqlgKfzJs*b1=8X$8~IE^G!vb8iavBI*Ou2CHyw?dc`>k$v!*s8WOgF&fw}?4?ev zleE(0g2T?N+t+lxZR_`6P1edUR`sEoC{s)@%#($#;I6j>i~+rT$91I8k~;o7z_>(lZ=_Fl~Wmlf$Uu^dV z=Wb|WXX}el?iUT^hm0-i7J-mu$k+bJ%fLk=0sqF_VM#cZIGA_J%g#Ft+!aHEyG|$} z>Z4z13v=Jt<62i}ST!ynVY4q{U?(oy<+o^LRfC>&1{|ue7j!lCTffZr-~I``Y}S2u z_;QTro$0E*6HpVtJW~K`@svWO&`D;<^Bs7A%i@#tr>BBk}V&i+6zfRxMYgm#Dp@znq8`)H$C2W|n zJ#|KJcb+fA#(Gyu@Zpu|E-sb^sc`jv@o~{K;wy@tEiZ3>HT^RiKSJMjMimL|`1RbW zSAz_D?EVU=V##X8q+|(UM3ZZW2m6}B#qZ1E(;v4_sfihA0&gnHrOti=bZF;v)n3(G zai>QymEk?qnOuIOr{w8PMFK-b_$Hy^0c{88y$n|v*R#Z{+;i$P(YX&uE^us)KPNK!Yfu2HH0uE{T~kXxVU zr~`c1@%=i6>U{m_jF9S8&wO83Oz0c=qk}0LW;w_GgRT#?Pyd6zl94|=0vv&(KO-6i z>QK#&C52RV1Qbxw3wyQJjUS%_s&$rjJ*Xn-GQZY-5E55ofT!vI{!`%#4>Yy?Z+yuf z-BHBEpTpp-tOTPVx6%r4aa9+2%1Ukj)f8LmOAF^3g~(UgB)A zzG$6>f*NsuYT?dz+zy?VCKV$v*b`rkE0eWc8M9d^2Qa=HG5<*WhoDYu-FXg8yf5=} zSNZT2X4zFMp+P_;3vWz6WCj9g?T&#C^=_N4YBc@a+rC(ev#eL~R2IKg9&p@CVrTq# zYv=%S47qPRXbOE$~-~?vmipf?~f2j<e`M@X{^n~ zlA;4cPY*#MZs^ZW``59&^dA>sw2l{uc6>k!9=!qeZ5ZPj)|$@-X=A8e^Mrqnq0R&p zAL5OPIfM1uDj_N&!hgiTW_f;yh+W8#3*gS--F&FQI=j(#ulyjYy7Eupo25gM4{>1M zl6+j;y^(oA`j5XvZ1u7PNTc+jcghD`9ybXCJ&>vP7LRiBYv8yZh1l{&N8z$4i= zIr7!9f10CQ-=VyjbJ?wWd6#*{_8%|m{4(ayiB5Tx$j88o-LgJ+YLaH5_&M0{H;^mC zsf?OUc2;dXqx)NUL^G>9!EKq82{6=oc|q2CR0AAKptXTm9%BU|VDx7Y z3HPg1W}56i`gb`R7}hmzxiDnE#q=90p`|WNYPRaXeRa3Z|mgH~TwwW&3&cXj! zm^`e8V-x_W?nrb9Z%>ByLgKppP9^z}qE7JN`NZh{`1<6?I9c_g)N74Lh<#qtwzcUv z7f$^DMlYvUK-?*>i?MF7N8R=nQa=7ZNeSx*9Qcn>v=kIs+|xFUugBdtV$5F5*1vB( zOw;Hu>smX%B_C$~DcFAd7?;4P;Mq;Bvp!zkW}RH@RF&f(lv~LF-jsaLnct+p0B6}z z_A$f}&!zkYZMzKa298Gv6>COrLg37x0Jt!FpUMXlnX6P>lSt7|yreD#xKL}<=xV4Q zN7w)4NU>SC^=AhJNXy(7mEBL6U;J58l5DVd>idvNi$>%O)=c{JwF+Z zYTISg%(`D-A0}Cs0c)7PuxwY6ZI=64ICW5V3`R%v5383mq9=aZoHk?(7l&;kMb3ud zQ|5hFUqd(yShtOn&3;C1RdrENxz386Sm$;Lg-*oVL_oK}tCGh!eD;P$6oS3}v~8T^ zdnuz@SBgOG+s$Nk*Gt^u$~xS$rgw7^>4PjRmsEraGHefb2d=O}7Nr8=AC*~2`KQvg zUd_k0Uzq&;(HcoixHn$+4#+5}btJ=2igWH1pg-Q=yDcTQVftf(a4^S8W3VbpeZgg_ zlGkL^=}oTzZ9@I2B-qeOI6URRIq-$UV*SXGAsi}TcLr!6Wac_}QIN1K)DYn)HS~SQ z@y!I4G>%rhWx&aZ-9|sMiQKv^CLji@;v3TJ%H; z5~VDW5-K^Ci2Qw^vn?to4gx^4XE7v^(hf@yXP{oWlhg30G_#pbrR`8MI=(>lD%b^w ze>#G$7kdW@t2octbv{y3sgt7RNbEse*y|5n)o4h3oYubF5v;`=%h&);W6LyHB?C$K zrtal^^Wn+93+tKG+AoT|^Bn@EKdcRK!XI#_N$ni^Y-nI?#Ye?~Wc%c&f@QkmVr>hL zNnd^`wgqxuG3g;xyUb|CJBZFbF|gWJSkb5nq3FO)00n#DkT5;9DggjVJq#oaJR2gNc^xy>}&cP8iC_&o=9b#e=bZ(ET$WQ>#l~R2vRS?M_LBuE-fog{*iguNIxP7)>S0H=3 z{7PpbBPRH}O`76=_a77_l4Wy}c>M>8SxpBMRFblEL==@Y?IV(SFInI82zX=?+E70(#z#78RIuRhV zU{V`wY6NxcN|nCQMYKb=o>HK+h0S;#tm6U*MM6 zt$f+oFYbJn$^+Z8t_W$&T|VYkPs92;AJ(csmUH&@@xt`q&T@$ zOpB&Q+GUB0qEQ|i)n$fDA*sqAAwNiNaM2r)|Ji>Ti^!r+Vm88b;rg?hygGuz8nZEM z4($4?->{=zqYV(pZNgR>?kdnT$&3y8)uX8{#DbNZ+9_g1(3-%PXYvk(f-?^NzJIuR zW5)&@y|_;YYk<0Y@i5n_l!Kna^GW2%aEdQ5*R;b#Ru#Dk*1kls;#(~0dG@Jg+Hj-=T3soN79Ocev|`+a8e;uur~0wi%pl{PEuSq zhTra|PR_n2AjAzjrNlpG-ejr=&LlCzq+#O2q8q4#-TAOl*3_q^Bp+s1E(0#(&s+mV z48t~@6Z!(_PCvswzO^t1)aYPX+m4*n&4wVv#_s&xu{J)K^t4vFei+=#d;66gO;3Yzc&*{-A)2K9Hp+Vp3d&|F6h&heDDXn` zBXvEKwlDQGr$+ShA&|>%y6H=sn6f@U9_Xe!`(W}Z1^84tB2(}vDB6cJDjUTz150Ps z_)J1)p74URsgJ5bg)ebS8(V_!b~>@rU&sa8b)KFH0b*y^nw2fmZ`8#!!2*21UpBBA zPSZ8A{`j2MZNLdtH4{U0ntCmUG8LyV+_5dcG)k19XSwT1CEl9#`Y#hKz|}=z+rzbK zEC>k%`RfJdL|e&>6s-0U^^c%nprF{%`<)kn-uYS;mb-dK&-jf9^~SldA)D4u6GIMk zZ&O6xCD8JM#Em3uit|omPVf(+CR@|%i)eECXZ!CT6PaHEQ|A4-Lcyh!-EA{v2>ZA% z4?iDa3k+R>7Z#=)jew*WshlaREtaRL7UCA)RK{n@T$TQ$s+sRQiEJy@W8 zx`SH+mMW&dc72SNN>hKvjR~%*^*YaRW4FZW&X7|0hHosk$-82qu(xjAlB#9~`r-|W zJ1k1^^A+XQ4*#{6=cf8%ZcMXb7F;vWUhKyJ)BB^Ie=GzuoO7Uoe~5B9#!i7VUeGiDtXXE==F41*T5llpsM2%v}e*t^AFTF(gX>@Tkb_G}`} znY+onlap1G1IHJ4{v~;ro^-zLW{Lf}{^(6Y8~Ze{$by+gW4n^_@A7E6M*Zqd2Ya9!{DzlmE8XhbR;4 zW44`?wB6e*as9Wh1a~voq>^@kEU8S_hTK9{6Jl(zu>0M+rJ|!1qVq5BxXS{>JlYIT zRtJ}as?|dl z<+ZDTZ+f-Ii2Y<7EhScPV%J1w=TmPJ3;64TuV^gAgW0l)HUlAt!{FVoqW5WdG^SI+ zVYx=k1b{dMyD-_96m#NwzAmExz$m8CA}pX`I*t~Mdd7#?O_#_;Tu3u5f>Y_7I?S)QqkKvV-7$!Q2^AJI9E+^KXLH&cmg9NRI2bR-C@RY1L zyUJJNK(Tkj}5SO-VwkSYAZ51w&Xh-34#ER9U%(F~y7 z?OhQ?rG0tqGOQq-8mgccha9QjFA)x)Q3_l3E5yEpN##sk0k|xJhsIXPTWXq50+_*J zF`)vKZ3521qIboVEoblMqZwd9xwwB%R<@qmD80624t`Ds(dIY>DQ14!+>?6avqgY^ zneP9#H}g+h)xtJckS@(dA+edPHCL(f0a>)Gj6RyD{8@ANS)zh*vIZ&9;Gq=Xa*SxYLB}NEhSD5yCl|ZU zVCFhWX<_PzWsTcB@+4^ozaK_yV8*R0DA?247Jv|Bp{$swp4jkLkF-{dyC-|ZE#@io z4)h@UKE;42DiWX7`?|ZIrNBTT2@8yj`G|%mxub?vJ-T;xKR+MGABV$J`y6tWM2jN- zm)?m2zoRM%t2&ArSAf7KxnS6W%|Uu3CNJczJ%kO2BA*ZNB1}k|~^yLd(3~KHwDj6;xqx(t_oR4;wlo|ViiKZ)r49gAEJ|Bw&vny;Mxg7 znyF9;t%p)>#?dINPfdrL9-9g_-mgnAFKYTsHK@^*2d-(F)$NDE;Jywb4{s=wGL1kB z-s)#&d!myyc_QuMuq3>PK#e1-&cUuHa5{%8v2|rI$}+v9O;$fNP-)5p66ow>$b~PT zT2pX}0jEeqSF$Ao=~?DV^TBQ488=0eEB|0-BJbc!3T9X&Isd#S-NR#o3&l#f-GQSF193yRS*fjXDKcqZLIO>yi7}P znG5t_Fv4nqWwd2uuDwW8-PU_=Klggq22a`wexb9~Sk9p4v#WETMkws%?Y_68`+6Lx z=H|UuasRL8aU`r2+m=Ips|d|Pjq$Mom^e*aVsWB1OZ-q1F<7CNCmS0>RtP!%sPNy5 zOQp$o;hF<6N@Pd^qum=kc_~+?rIqHISNe1F(u2*_zufs7V27*iA_HiLC4zpiayUhA zf>8frJvU+)aZ9h{nC%XLL-z0F+mNopv&66?F|yk!eE!n~3|F!}mvv{Q$^xS6?^`C1 zz|veCQbGG}bY^0C*nsRCznR84apgI&7$*?Q`r4#Io4J}np}=d@Y^6gr1m&)cUIE@D%=;Uobov#dBtlUa<_ApeMK z0#^|*X-M0d_*A(|XrIg<;M?_f+1zH=y8Wuc_*RB2B=03YOOMB^6?ae^**v z;4^&%Fm1?!ccUuC1Zag`bpWKPYOo#%b-B?8O2dAUvYvN5Uu&pH2)OsA;!)(WLT`){ z@iwn|lbWfa*^BJLk8Pb2_QKFOV~1ung4mJ=%fI>8nQsVl72o0Ubox9Ih84>}oT7f?DH|Sij3I~N1|3F6CZ41h z^ep#Ton6d~gTT`h^OMR3=zo@_uG)5;(n+_OOrt)>jGJsgwo}8hd^^H!VVu?2k+X&z z>%=@LY((XA;d$XSOpgt2I$2aH_9TP3z@)HexCdeQUEZ&ybu785&smMozGMM{qbwZLAgE_jLhb<(WF?DW)^jbQwrS33~vDEPVmv7$Th9Smluu55++yoBP} zI0I-8V(ie@b?~A-D0pj!TBi~;wxJd3q7Zqly;{A6+o-aF+TexK# zm9@UrUyE*jg;(CJEGodQu}Vl%$%V+FXv?4 z4hD5)O?Nj-nwR6LY4piNn<081`8GsJ959Z&duQL!LnB8xY7mWoBFT%E<9JH(2R6IP42p;SZVlK;LH!| zt>7&_D}ItMLbnadqVlx7E8V8Mlz{fyXasZ;rwDSzbQLI$G>lnOb5oXWi*2{d_V?Zo zuWzxro$ofL{VA+9(sp>1fKVl=SiR@0#GU!J`(o4vpiF3ATi;2-10rQ)0MdZrcGzrF z9d`o+D9R>@f;3{H;ssU<)_}WiS*VD+_C{l@WxF|UmpCqGxon1y`PlUTd4WSCByJU^ zr^v%|op=xl0mjW?wA1XwoXO#Nqtl0JMWA@NImOUX641Wp^0F^9tgm?TCtrfl`J&` zUg)_MWch0fSwbF?3B9gJ7Pl{(UEM29h`iwk^!&xKbU75#k>6+a#m_5vXB_FNu8g(6 zY;~f|phf!@O%BiB7&JtxbJ)=+?v_MEKCkZcLsxUu%GtGF(7@4aBdeP%CKm*7jP{*T z>6|LsD@^}F5oL3^A+3e7cX}XpE59Mb7TTM|leLCFjPYIK;Q7gZGS>+$%85`k2TABw zpgi-`fz#e77EKVkTaT{O+EOz&1yy*JI|Q6x^^v-5PyU(TMaZy8WF9L@ z8JrpgdlG|h6ecm?M6EIM`PZ}Hszto?ym7|*`u_svF4%x;rBd-2*RN1H&UCPr=xk^n z7$berRlgWlbC$Q#P*?}w#FyD>q8cZtWk)Dqt6gW$2ny-lUb$<>6j_Y$(g6o^MH#Rl z7j5`1(nYw>+vg3ZBJ)SX#X3GZDz5*9Z8r}dl|=AZD6WmNHwJd` z`?stkkG5Ntdnu{@?$CYweMPeZAY+p9690#rLbQ%>Vg~AHZOt~f@#dA8e=;UUZ}83Q zh>op|FisqlPVB`9Qe$mH*DSo4m_6tFb?NfynT&m1IdBobGs?$sJ3tIGRp@uus^d%= zaQG|+oN}q={S433Vizchi+7!{(tNLgO!RAFQGCLGGE#Tth1ZN!EN7-pz>?7l|5ZK^Vls(4~$nX4-~4QO8{?9uSdgM4@IXbU@8Ujv}eo zyKOHbwa?MM1Vr;X@edmV)!;*)onXT$Xf^_qk_s>G9NfDL9!ib) zlOS$c-9+sl+vbV){SF;1Xg(P-)nLVm7Bg!&>SmhYFSDPnX7LTzX08DhFWh{gV5I7- zLV5gJY_WZtr8V`gU1OSAkb_uw&}ZQ|1?wLAkU*?9LMx4-2lD3&aQlJ-+fX7sxY zhltK4n-%!Q_2ZMNG%!n`?SVsoj>4X%=eXi>vQr=mKNhL61#spoX|B@gZPaY@K zohkFtA*|TAEEA4W3T+aky2XlDXNp2H&{SjF^(-mXKvzWW1Hyfh@Y}fGlVDQ&Pus1P z#y0O{6PpP32RP9@aSr9yQRt}a^6nzl-U>aQ3jz;2o)^gZBFsbZUvM4nFMb~=hWQCv zXi=Wi^%a;S>a&-SDBEdOw+ic1&7U4o;C$7lk+>y%4!0^bbcKS08S)j7LdTkB(P$@P zdJ<-$lFM2-0YrN#N)%G95_^7bch|~4-BAWc00!4^#dmUkNf_5{_wdayPORcNi;ZNk zK2LAS+@3(CTx1(nX)raUj?EpVL?>PMZOJ*7{pOUKjF`XOO>=|^CH*COpr?5zea_|h)MI% z=PhA7YQ< z?*mv1-EZ8=9*~Lk^#{I*?*86|8mOsAeLf}()FBsI_yDcThP>nZ@{q4OPlHp|zL1E%}DyZI$E4agdPJ_&Z`+l9MZph2%|Eei24k9S|e zZ}4BO65l4jb{e~w5Mw&fIpJ}>1Hoa6tuEeIp+L;^yAt`D`TpIb>_UYJrH@BD>#Xq=GL_7lotw56bWs=a=o7{jQ zzd?T(YTk167{p$G7Due02V(5#%YsD7)3Y+F~oY~(xRd+11g0h9f0z{ zqDJk4-599q#PUmIP`LuyF9zY#kWDA8xXaEFjXq*C!OkLyJe)GidrIXJT~=@GB=Xj7 z3=?K@iTzTzpt@@|UOx2?HZnOp2wf`N$&~zm;qH;e_jPP~!&+HCS$<{%i)M3e4}5o# zEdmCp=wW(FeTJ3)I-7U9u~6VbA`a%AF%Ev$Ttsch$Y$3XGGFv9$29uUeT>sAO7J(M z5xYud^MR1>Em`2r`_TStO9&%-kPUETK9kP}11wc^rdu%>IH>_KVCzRjCGojJiRvG| z(PJpFHvmx>IbAD|%%o%U&`wW)6B-nlqtqlRNI;OC)uzLU<)y}T<~gov93&YS8=inj zmEnpzp&^6K@7Az{qtm*aVE84%B0gG+$-sN(0Bt084YvA9S^UkKS2o@j^-66ALJ~~8 z*5K0-N@dGF2)+%@quO{kN+cZ zW5|Y6zM;{~65<-c4&6;Jw^9t|pXJQ&912H`S|_z*AebriB;^EV2Kq#M&h<}Jg1&`) z>F1<7X6_Yq5w(F0+Q!I$A##-`SIM-u(bk&G_HgjcfZ8uoI;Z|&gsfnqn2~9}q^&q` zZ)y}#dF&mmlL5cS2ss5%q_Avyh3hrx@qk$HCwrAB5J2Y z9ePlFj9iE=sT*Wb(Y&&N9{EJcX@)x?x-KRjgT`WPirpvLiomw19>IC6LW3}o@Q=)67Epa_!qmig+*K-SEV`o zVmqkL<$15s!v`oR- z6Ps_5@Wii=yn~bWWEq5Au?4(vKYv~1LX$P1LgJF{G?!j7Hmq{Y<5}Nu@G$wex}tlQ zcr=9{qH^z?HR(cG-AOsSGx;;3_?PVxe2E=A1Pp4>JjF~I=+*>in!`geq{Q5%*c&Ct z`Ue!5BHw!PYINYJ+($-!r?9GCVu zA;B*E=|WA;AlsjaBpp8`V=5MupXbKpm6ugC!cfmpG@|RtKqC~Nmt7pr>Mj50&g!fF zulrEq@!Esi0KRTf)Jyk7vPLxnb1xEVIVBy)wxB<0T*lW=kcA5SQj8@#b3rxEhAZsC zJ_(Xvz;x9TJ)fApx1?;;^UTO^l(k7X5)o{}z40Ket4Fi;l4XT|NYI1ZjPP08Jr<4i z(NI~aHQy!8xWcmMQ#GlqueRxI^qJqvfv*nCub%rey`|8+*db4^rIt2_*?P+Vq%4hNFueFLr}yhCH$x)lNy{9j`I9P60{gW zLfS_ehOPTBp~BULt9bf4s77}qv00$wS14N9cUrH-7P8`qcUUjp3`w%gG?P|BAPHP- z=>u62+ODSY*dyG1CLjx`fF7F1t<3Y&#eJW?=}*3}&xIV2`>FHmtr_iV!w`!xb_U{h zy1&bP`!^Ly-V6f5Z_!7VI`#&1b!$mPpbB^?0ub;it2~@1fM?QhkM+2nRDrFk@yF-D z#y6(pwqqVp5$@m0>Tn}O6d}u)a&Ed1mFyg2UpP>)508gNyy51I+n1iHPIHPv5X2asqj~Q7xol6z_c=rLm^1>RGfhbrhM8wJF z)O1UD3f;*>fpDt6i+m$NF*(meC5PeVdHd`-u{Jz9j#XLPCuROHw)21r&S8R1ES(xL z?zNlMhVn$uvgUj=U$XAyn^cA!#{yzW??~9*JXObG7HZLq4F~c@_Vipq_{w%5xtM%U zadqRhgMt?SIJcgCyq1$_;>pTg%)X99`Syz(vZrIq9hR|&$VMV&LVXTG>3+MVtMqja zusM3<48g<~9?}Ja>2>0rM+?$yG5hd9IaFHrh_5B9F^>I7J*4D5VnK9OS3s0mP?hYd zMcRQKU2uro|4uD148u6gZSX$aKu{N1J2*!@J~c$Jy^&Z`-Q3_3CG- z_gd{`<)yBycumC+nJI7!(1b7{o{i3R_8$GNC!wTCnw-`cDB$TkV)X-XFvOh1K1`0nzlp!OhJKoQs=zSm#Cra|2NK0NyKrZ9Mn*473UG zyDpso?m5h-G6pvluD}}J^)GrgaLda*Sm!^0xd7yKED%S3xBKArfNg*|b6}Tb6+kRH zf^mJ5l|G2-fIe;DeWSBa^6kCdKHz_Z{@MRlR~5|B35L;O8i3aWa|8fjJyqS{@!{0~ z5R9I(AY7cn_`ZO90u0FWSC|jv4+R3clhFX)b@ujFI<&j~>GEuE>jif^J~^)kAHSt_2T%~t{?)vguef^w1NuT*!ZUz99;|+fCF}U1ty#P znehmh|BYS?-~sT-$;kl{+5wEC0z5Xfp1tGhtgV4QkBz@z`_1yt?}1(d)%(%`qCm8Q z^8OWkb^-SY0Kl`$E9C$Ev3;Mxr9?p+0JpvZX#BhGM_Be3_YW0p^}orp--W#fW;pOc z!$S{vdb`U@*=TCD$wwgH^I!VYp$q%hP#f9GGL;wj$0#W+>)T)B->d=oUf<1}*UPiVYA@Ea zClJA(EGxhdYpoRlc755Czjg{wz#KCHXoK@-S%iVRXFdG581l8D?O&S8@8F9cd^$1) z&|+|BkUu{K02`g$>|Z0Vd`ipFQ_;b1^%y_d{L}pRS%MRSb@|NQ#o_4@IKa+!KyUe+ z`givc@Vhf_TmkI(SzI6>&NV{$SQGSqN4G!#?K14koA0ADAcsJ0?wqcF=pTU(4*;C@ zeN*@!AP4|X{F%uwphpM*&ir4?nI~C$z;>?r-q9Y8AV3)YIP53*dt7u4@6L8^hCj-S z&TQYSKOQ*3IJiknXE#6#8l-n*bs7I>A~7%`e#%d6Fg>ilh$+4|wjp-j-! z**R2=(^-Ti0`EFSe1_wkPyH#K|IFd3Jg*`pc|$%J-q=&}C$_yK`S$czP2bvy+a0N= zq>+papnC*2pX?p|53O#7#X?`9i><{(nQn736@Cz_aSUwM54O7-tp+#R;->x`Ywz|< zi*h^|gfRj3;Fe@Xoy~v3>Y@dL@|*hbk*D%AM-WAytJV~~yYG^}g;l~JA5n|a|AbWZ z0y#=?3FtSx4R#dUQM1bF`i0j&zJ$74$#MZsau;ZQ?c+7{|relEZOCbO*)r2B0VBge~YtEc8Jt2FdRCNo-Lk^ zEVZV?6mIWGs!4KB9CNLN`vrI0AL87^W_kD5(iiPyuCTzJ`3_82594Y7BWtH_2Einw z^Oo#F(?GM3AU_lJNCX#?AfI~gD;M9o+vY!#QS$87(hfcgM^XV+oN#D*|BpD#l-_^Q2+M#@abR9-JG*nV{l-4;rBf1DL=N*a832N-* zMP@kqNC=yfs)gPwlZw40V!h_ZMu6m560O9}+e&z%E^pGnm*z&^jYt(*wt^Ayi=P&> z%dS^qQeqf<1Buh^W3$QYUqx8qrmjk3n8_PDE>RkZ5BpcbLiy++hq+DTJRalWQ+S0s5GcK z({L(dQ2c!&h>K+WR<#XwSgN1ioPN`jVrY2vey8p|SeaUkS(Y+>kwEh0@c7m%cdY;_ z)@0j<`nva$66m>cO5+2Ik2G^nS#Q&dGdHmPd~dlQ^sfFE=Bw}-zO&zo55#(<^~5D! zd8SFtxdmN-HrIcwq@dK4NI#f7WfS!!9SM@<8<`;LN*g=ZBy=Y_@x*9O)8{{2Uk@|o zf~I-!;se}F7W(E`ReGx_u9hN}c5&l#BpHMmAzV%5ot_^7E1P%Q-1~s+y6k!xkw!4F z!B*6(J*T6CYHz#u{>dSO*|&^jhMua$gMCXtCO4~!pImuN<05VAX)dE*t{yI&Z=77j z3I=*`9m|qW^Xemfrb2-X&a-ST4T0a3cZUiLw`>~! znpiXUp{Vp=OnQPev{iGkXzg3Wtj1)C#wyX2Y~i_~58@kgCeu^I`EK-hE}};Bd}hL9 z7P@w{$uP4!dy@7qjym|}Rx3QN2 zn6Z{sJ~-)mHGg}+NV_H}7??X=(`2k_883B4^jw`F*X>gq^=f3z!RYp5x`p(+6jo3) zj9$q4X&ljibJy0a)E&*o1#gFFk?lq8RVZW8?L*bQcj}$$kh@5B_Q%YF=yY zUev?bh`WPfXwp>LF5?6w54r3!B)KK#;3#U_eWTK&6^#m=ik7@g8Xj`;nm+sR2w48h z$5JiZ+N*-rLVeP=+N@UReOVSSqs4cJSxFxcQrj_`MG7dIsf4d$d+_LEOO3|9*Na+# zS=u$kDX5z^cj&nx(eYx0gNw0ul|ag+j+0-sEAUwbItix1b~awwrA{|%{p=7py*+I7 zU;bMOzCxI;#ltbwU>uSbA4#e3MgRU-Go7xW(=i{t8kd*(m-XK^_B5n-*j@CoADZehi& zf!&O&eW88KLjEH{_Df+*GCTf%Z=g{T_Z#kvckGZN^=jRcb+Brs8qE z1}ZnJeo{4*Rx>e$3I~VG$N2bFFFplZ{>AYl(Ok)#!~%IDOfs4bD+N9MC&Q&;0D(!A zjk$ZAN6Q21gfF70ZpdH;5hCsU*s)W3=8ndwoi5d%*$eN=JLz^vdHfnm3C&S+OwT+D zwJD8?Y3AFLbp)PpJm;^D0ukX!!1kNo!}&6rh}b0Tb9FMyEYv$mPJfNIEpoalNxB-601CKg{;MS9^S?nBn~Lk7`7gzLbAs|BHNanSLwe6>0R3kP%noA0wGo?`=clGgRyHKWJU*y3iPM2IiV{D_L|@ z{jsE(XpGzsn6<^c7S3?Rz7yv$Kfo0;%&SOsWqE%LRMx5Ozy{3?&?CqgLK38HadqrW zEjyNPWnG!owwy7glyPLn&@h(<-)p~;BPO%HRWHeOdJ`3Ngm2T|Y^-vh zbPMstvQgJ%pql%-Q^=`h`{hbH^Ra(-UAJheuYCpsV0-=csXxn!+o9H;iR}X~i^nXg zFuUi$2)$H1C*9NjEB#aT>`l8>^Q+cTP|8x%UjS%cZ@cq&pS9FcE|Kcat^Z9!(yyKx z4=&awm<2e_u0j>>IuHC_JR;nAuIr7R)$mcPz%>mtSKeqC;s!f_9KMVOcd##o|C4dL zinE8df%b!B>Z0=_6)obv?chZ@_Zxd}G-1YxL=idMrP7*CJCgSkv!%uMVA$AT^*WyN zaFTpn68`5u{x& zvz;doGmZDl>YfyPWA!#n^u1LGG>*Wh{Oo)a;FbowG{K@OMMz|))Gw7DLw^WBaLsY^ z`k5>PUvQJkKp(p{MHNlf47=lQ3Ji+Xen!4qowCaAF`q;g;)LXTM7F{{$;YQygx(Mh zBSekZqj8Q2q7;XV{7vN>_*#$PzBVMxlHqBKZ(CYg*i5yLqi7;fl7aR3P{aTVQJ&-~1b;S3 zhR;r0aE>G)#Ll{K^7{Mr_z)|!$WdOY!>TU6(yJgwYZOwPmYoshYR0qD99CbAHE9|M zSl23VdDttT(>e$LX3ZjSg8|Ov)9ahC(abG*BXA76TntiRxFDRv6~URrugmys)Vv6a z8L=mK>0T}z7ZjFeG(?vjy2_Y<`#3D((>ulsr=oA-e|a>pX)2^ss`h@dFyCNOWg~_( z8}9QFvE?5Fc|D3sKb~NhWX!^0G)!trUg_SH&SmGH|Ayi5uu@Y4I-4y!lR#?bggbg^ zT{J~qwnAdh=Qf?|MM%(UhwfB(45U2Kz;4s?08CHF zJV4@CEC@#XmRQ8V&EZJHo|#aL{$$?Gv&W)A84mfXX->Gs*;3r!eRwik)C@$Z!zP05 zKHTTQ3t8yVG0{`+8Vl`Jx@OI6lk83S@!`I$W~xy%PB=2c7hzG4#_6ooP@u3(*a0ZO z{*l(X%3o@LfZi{0Uk-tmJ>f0H;wE`mmZvv2jO!USp@XM2Utxk1#BEfHT@d3fl`b&SLm zTC~InZsQIQ#aPyNB5L2gIqCw#?8HOtmK3q1n)+<4!_vaAOt`6_YnS-{F?LSPxiCP3 zjGYtv#Lg4jwr$(CZQJ&VZQHhOoBMt@yEnU4`zxkurl)(ACymjdQ`TemX@vqbMmy|o zNs$7Q%c!J&2p63aeen2vL(}dH_NolPohI zCJu|R-3r&R6lp6%;2ampI?^vnDvx907vO@#5rV~%6 z?Hb#ckX;YsJ-r1V^gwIPtTYRbk=MRfd6_HS6r%U?mXO4@SeMneY-vxstoN6kavg06YfH-Hb=}@0;#N#o}FYFd13{P)rYCel9;yhe-MzoYk*4FNn zg?1TP?_ppg9NW1+C`)?^iRkS{;HAbbombfUdgttR)N0iq!wlmf+!lZ&=dJ=kQ|`OM zpHfJF+jyg9-SyPyUW5tlJxk-lU?%Ok_@ZR_W*>ES#LaIy%u>Q$$`m1!2-bW$k%*+_ zjY2s95{$J*lG#fjWg4s;Ac;aNlIO_!$N0xM5#n~?Lsw%Eu!zrL>qYyw1CnQh28*C7 zX(B`3LJ84ha6fX2Aq8>!VgknoLN3(z=*d`wSTRO$VR{Wyie0v?@T|=Bz%3xlu*zsVjofL|(&D$xSY_$|vT#VbotVvNBgOh{0UnMZ3EBw?IS4C>7C_<6U zxt(a!dgvM~j{K#9_5%vnfuWEi`2928N|H#A);BMULA!O)fQ(OpS-Q930(5><`JgZD zr-`j)u6&JVezkC#OBo%@T~3kZBM@>k#ZO|GUVXCVVUc~}J006K#Qghu^AnVMnl)<{ z^u=p!0_jMHFaqd~7Cqr%EV39$IfJ?Z1fIX4Gdi8mX0sQW>X_@e0--eL!-JppZAeNF z0NAoD68J4t(^Za|93WkAsB;ik=5!4Al`RDVby_;=|nviUILH-P6TXDRz#*es~%k|smH(DW{ zBr2(Lxlp6OsxGb@A;0UlE3n$4>xzeQDe8;nXmb}-T2~Jw|M@Re-J#EnpENZ`WyM~MK0K8~^* zY9>>*nYMkrRnAZ^lb;woSK;xlF_H#nZBc~MuI2VGZyU|TJrP7C?jibK4xtDlEL}-7 zeLS~}p)HI=TnH0BaklPdj_n_jj!w8d^Wr0qD=F(UU7CO}QI44uvH8u%N2fyj2oS*- znd_d*s7To7vh7u_&kJ_m%)B$aUqJ7qS zis+HymAML_q0$7lrVHT%U#@b(St6J>$%2ftK)$L;W3WLexOqQCfs$a#>RWo*T-v{J zy-CrLnzt*6Gd61u|JdZ#P*edZj|=WO^En&}3(@|NRRaOH}Z_-Yjb%CkqGs$sgcR zTE{reiZD4fQeN*NO-C~mh=elPzrM>!t0GwAACq~b=JB&M6kcA*@QirK4V-?!Bd4X| zWI6XHis)#{rpbR$)Y6-d!5=;$jTQP@=DNj3wD<|Tcta88bd`G1i9`n+!?EryAInZ7ke z{(aCMCwPnYsSSSFCMH#C?>-Yn=J%xzmpR)*0b_!&GA?M0MVMGTdJ!qXh?~xOIo-^- zMqNy+xJ%)pK?d}a=Sa3m=E_N0BgAQ{aBO@ypQRn&Gu{TBxB6Y&x1PhbG7yRZ*a?vM z2>mtTUd_*diqN6JR0TOP}erU+m# zw>(dV>S*)=;80IcY9r-o7uyJ$r7#y}%FJ2>VxNdyeGIf@K$7~Wsp0C3#T1HI=gLpe z^Rd#tZ`a;2>S9HDtH@n|YTfo_pw1XWrebMRSuc4Ky%T}mvl|Q0fX5krPC0Bob9=9q z^k-afO#(FfSOso)EkSbBZ=cIh*9n?Utq;+aN(2^d^@<9h8s|b#hwQidiX{ePV|>G$ z_KDkY>hD55Fl@K77Uarnbp<##R2twgdx|2Zw)8;exDL zCQp2oHO9`Vjk*%wWRu?r+w4m_u1u~MFzFi(s~!nVcm3_UU!Ot=@j5&PB60ng+L3!a zkbuPe<%*)JYNBXbiXgbrT*9yHiqtbw0(H0ZGHd4Yg^?2*8n5)^otk_qzV?1Njoi}8 zFlmZXYI_nb)4@z2=(CUTj8=``j6T~!rUIUAjL*$<77VhDKFQoB!s5|BjL)Z$wP~ZV<#+!l2E-#F8#j zRuy#`!-hgHiD|Je_?mDY5sM0ZPt9fexA)777?T7x-|RmgM)$>gEmu#baNVUgwiLMd zb8N|Mg=D`fjW2Dg!a#10(W>hc_4o{UqW2IT7e9zD5X}2Pdk6!qb!`D1UIR}B_;fnpQqM)kmL z&>cmxwmN+Omg2CMMyv%_86P93^qAN=M6v3o$AbobAncYN>EQr>;lQJtRKYxm9BaV{ zOJ?Y&&`IVmty0vy+GzjK=1(PPZDHrw{TX7C2GWU&uFZ9@x%e=-FZkC#N}2jq#WhAH z-Xb7RTT4!hu`SGK>=+z>W<5GGiN4??)Sn2qEg}rwD)q$<0j`?f7%e&r+BI|F@jl>m zbg1yO%Z}fWUVA#P#7!RYGrP=Uj?q4d*{0r?h|8iGpfr~>^mcvkK!*KkpT?`$D1e65 zZ;WtXu0ppQhq|+pgE>br?)!d49k1Hn*n?@&C#wv&X56XS7Ii^?Dh|nb0^(`DHdn2m z!HNcA=G$fQ(CfAg`t|u`&grNC4c;}2;ARe~1cXq)8K<0yHQ{#Me44M^2YaalBMQlg zQA?0gdz7Wx=)C6OzWpKFjP%s=M1&1Ooi?)^K~JhKRH*RcU+0LCp#YNYj z+u90>VA_)IlHC-8^j+Eppn0C14r=`vDm%1M+gMDvzjV#@v$8ZG4y~!P%Ayw|P^H)o z-fn`&Lw3TYj!<+k`b4yX=OHh9Vl8(#7j-)`_{Uj z;t&1d9%*xZnkb)RN&6+95`EWq!sq4iV5gSepxLiddwi;oqB4)^Fvs_w6s28XJ9K#x zA&?6Vc*GHb5B;wGahD=p6w7yXr|y|NH=!8 zEgxV<^@a#{jExcNP#}JR8uUPK12fGN!YC)~q+aJ$C+z=KmY5#4+rkVydTaO6KJZMV zQ^(+#pt8HEeB}FS6FxTYZDz$BQOCQEYb!uQsR>O;OS-nnDt!5;EDCg=3e|(BFl_JK zHTEm{WA%H3P_cD6nAq(!%I+4~J{9cjw@5V0OS$P8;&uOAIrn;G>GCzb*SQ_(&b{nE z!M)@4sx!tsfuGt?h`fad^==3xS8tL&aS54?-E^F7x6+^?+Mwm28%jN-;#PY7!SR&z z(=>e+azp4i^ZXgOi-cZv1A=KR7o?Z*U~x~1GFY^8%k)`9Ycd?AQq$n*xVWEgDPU+> z@T0#2o#z>$CG_Nk`Q8f;lm)@dG8{lOx>!7=?bLHHBM(O)$x{_-U(A&6sZ6!-%LhKv zLwQsDvw~AX)j<5!wxqCG!u#TM;0OQuxSTW<1A{hx@Jyt{llPu>>KK)wl?udVh5 zn?7ShuPa|*Srt#GFa#d%&~9VxOi(mMT%4}K)u>ovCF2#sziD_0#tSI(pYjKEcRdYB z?r=$BQmhKm>auUt!eJotWQyewK4X}NFRF4D(+;YpR4N;kO(-Op?9)V?T^Ct8K3ZJ# ztaTiIHdIf_?Mu|OgfB~*Ny!)ENE?%ZQS0kzL*Q$CxNSg?96M%+kN2|tY$-DvWArk_ zW_^c?tkg*PBQT-3^AHoZ_Bxl(zKf<=w?4pZPaoZJ7^bx%!L9YifC9nNNl)FtSPXMrU?NTJN4J?gYj{K5g%CeIbSHd#@*cL7mO+ z=FhL!*JPnnu!wHK)Wj=^iD=k8mzgK-2ZuHONu9FAHLMu*t}I1k2CWxPStA+oVdp;t zlcrC73W;quzHOw5db8O}VRh6;JY_pDXJfsp=M;M>HR&H0?`YMnZB0#S#ow&dZ8@8Q5u5u)Y|c&Jf1N^yhAfM zeIrOZhkH7QM|wICwY2osFC!SoJA`Mn@a_9X(@5 zXD1WpCI^#$HZ@rJIna$NZ7L92KGWPdyg9_%KV$#EdfdCb5(a{J&?V~X?B4=;@Qltj z94=sBeE;ec%DJ8Q!Qtf{xHGUfcHDd_8c2C(ppD-_^&5N$XMaCd$iAt*uUq@yryoFk z%J=TfNNFhn7o?Gw9KZ|KzdeNpF`t5Pbnjqa5R$%y?Q?Q&Z3XLT-|ouP+QiEG!QjsA zVgv}DJ_mPhXBcb0_G_pr+rJdw z=hgV@)ZXSw;O1rLH*u=^YI^FIYH(^fKw*1lVjhix=0z?G0cxKw9efVFZ)Rw^zkdb} zh!eyguQWB<4>$kh9Oz5yo$X5@sJ0b!3|Rk10b*`-;_usiz}~g>6$Drtdpn3v_pjD{ zFER)dQ{U9Y61YA{Q(c4Do7@uuruh%TyU~xVDjtwdDZ&Q>X!?)m_h;4*`v+G?5`uLuO>tFZKJbBob0QWM5Wp2oC@3bU&EBsp$!jy<-EY_b*#)V*N7T;~Slx zg_jee|0n*r@6)*+W#@MisPeBiqGjLjh$4^=JqA?%2g3Yw`dWrG-%k23-{QAj+OHq= zFJR&qF#l^Oid@su;&)l`V{rFd#MaW-@cdOa4C$n!!`s4-_f!x2^1G^x@)oz80-34N zzVWSB-4t~{$_llqzaXk*89sx!a%!5DP+2;6g!%36nGbW9lh9k@NfU0sDEJ#_ z?S*uh-#(jWz$C1o`&!aYrD8XQI%HHR1(@f8=Za)jv|rH2S7tm_92CCSuDnb8yx?oV zlKAox3sBmIA&(t$goVu#V=X!(P0#X&b2-jT+RMeuWqO2#)dzSYoJM!PUN;y2^*X9+ zf5))!B+a@hlX1(B-_Sz?!p=#B64`Q@1H)3%i5D;6L-hdrR{bfbfvjIZ2ED|Xvb3iU`ZPw(N*S9f%$u;AWNA<# z87MH8x}vwOX@3Z#L-P-ii!C65ui!WAzUKT1iQVrpANwyr@6_`xj}wRj2BGsk8=_)GiT5S5Q7bn({p#^IOp#Z6IiyPep@DYzxYRD6$J zMFDPU9%bnmrjG@4x4~U70PIvghRKS7Cd>j@{)?jb9<=eM)DDvVrD|5wH=I0spm6EN zNBR02$|_Fp&|zpCz!X1yyHd|grIerSU?5dz$szORL{j+8bQkGlK&*Epv%QO0v?WKk z%l$%n^K)18&ZsBV#vnM#%2;w*_FH2x52lbdWB=Dc^mb~UAH(FLAWZr35p)SHbUdA8 z7Ro|A!bU}k+bitsgI=|`|Yr0fJ=0&r=VyC65XQMSRw&*4F((ON;8cpjYuqh?m&L-2W;=6kdKTQNIk*3 zYdVxo%XGtL9cz=|_1k-dAPwm~pj|ChM=140Zg&H~uUN4IHN}p{cTX=SN8!b(bMM^~ z6rYQi%Yw#>QehlXww0V~)-pOPu+=SJd}X@ko9aHg@|Y$RBwue_Lzp_o)K2@&dM$-x z8%6R_j6gx7aa|S&OX$p$2MNBIDR+1>mY3^i`{dJvM#5aO9!}8xX1Z6a=##H!fzcB7 zFd%L}cEO(=~+W@jol;xZaZjj)m~g_aq`1k)*RsrSVF z^J-@o@QK}cBbB@hh zayiB&g?wcv{XUhIs5HyhL&lH6*rlbqTrH;g+)2s;Yo>bqcSA;m*`)%EN=#!485qGs zb}XLO4$O-ivSbnhmuqEc>qTDuLt-4Luz_LGhXb}~N!n9+Vls5%DS>6}kTihZlKD>B zMOsIqV}47^wbF0_ix2hQP_eV6aWDIRs+!JMvo-(QB%)0wR=b}6j9H0_of<30PAGy= zw$$8vd6&i^*EYQ>Vo9-ETKBHzUfG^&J;0POcoE(MDa=nLVtw6B4VhGH3}-eLkH<}Hvm z>j6Sm3=!YVyH?6vASXeE_jIbQ4m1f~cYu>V=sh3_A_HXxNzp9??Bwdc-No|UTo&Pp zXH5S;e4iQOl9D{+`s6S_vu#F#mALco_VdsaTN2vo2SDjQ! zlRw)J#dF+0;B-rpK>AM^vM?yV4a-(6zXzvq_#+NV8p!4moRo6xklQd+tM4EqX3AlN=na^PKXCB^ zM?}LQv9}&bzfmX3sF4}IokWrBhQjP!?j|xrD|{ij=3m!F<-{^jx}LSO16qQ0?AvS( zv(QsXQsG`tp3NaCMdkQp?lH(V-2+)i?7*@9TR|n4u3S47H+9f-!Z{ zXV~<$V99PAi_c65Xtb5bMZ*-PftSyk>hhS%{TuxSL2;}wnbRBHr^r&?VnjVL7Ne{& z|3K@qs7{pukBbo0Qb*;|hy#AQvsZ#WLBrAoe>XqYz=KYFvsLQ$DR15MePAi?riSk% zV)Yz8qkSbV)8w<|xYLPttg&DJ8DKF=_`W$O+;4&+y;MvpQXJt^>Z`6bB$_YQXAKM! zR*;0z8J=S;fLr_K`Z75M(8~(iNyAjn8sIMLc8+{KnAn~Cs#tc5j68&AI0GK*P>6bPa6|O_uD$Qrp|oo!x#~A{FBNLe5PL_G6Dx=sDnfr*-SQcb5x$^QaD z34CiJz=$HC1a<+G71R>@AyRvX?9Qvf_zv$ph{i{9Sz}#~cNs4H}@PKg`u7Cf;x!QMz~ioA#Y)X*vB$$;pL!puME5&m;d=0`~egZ@eM1E3i1FHj9E zt^DfoB_6z9kZ_o>p2%JNQDWGT6L-4N&(sWLqRIWd5ei6{p~lM`hvy)23LjUm0=^-E zIV7>t)g-d3x|QC)TVetXNT7qdG%%9~Xf}K!{==q8)}7>RMHvtVEZx0eAS~u#pDuGM z%|S4ts2-QHCYZ?5*~P*SRZZx*NY%P$zdNpO{5K$K7}%Bu^L!fm7kc`>Ojn^eSn^cj zI31K>o_xL@7sGye$Sx0GrTIDw;}(FX5}eRqU9cRoZ+Cnd;X#n9LxSvqbZ~X>d*fWt zV7W5S%n{9AzPSw-Of+qrK9C73`34z^ggJow%|F?d3^Jo6XI#Zl!9XbsxDe-&@oOP9 zDE9#NcKtK^CxT>umq?V=dXv!KY~5Xmz83SEt;MkZyUGNsAI`*GMQU}`fpYa{;uC7> zAkmnuUwk2oYS1UVU+#Y)7WhPh-pLQLWGoH+h431Z5F znm&C`F4~JU&Ia*PRNP@1lIQe>-Y=X}X2dj@T=3s8C8n;%myIF*4L;Z{)O5eA$!W3P zjmAfX1x>=@lT(m2LKI_86n`I8hJrJJd_@qsEJxTqS(117Fk-u>{_(*5??&lJY7#i{eF6sBS0r7sZAOc)^4=v*_$*ULwm;ZiReKcIm&z7lJ)j zMax!vO5G`+vTuoAcA)ww0^rM~tADNT$SdmO{7qhaj61Gm*q~UcBQFJ{JyJ74Y48~_ z@EN?D7BuKfDHR@C{Z2F&ZVD9B%mrEZn;0uwVa{Q*EfdXpNht`7#0AnVll7Rmw*6Ul zy~vfMT&_}6jsjRc)38OP&ue*x6u*H!bWKSykEM49$62@ILC{T|>&wjt+36#;oYRyY zrN#ZeE=w@-psl?Q`^4#S_3Z}1C{_CPgGDnqd91xwwLEg$JCxoJUxLkAR>D08Iuibx zq6-z$*@I)k`(5Y%bys~U6h*XnZc%+Gdps&G89NOND5Nm|X$!wduk^)5^rAJT6T2Id z4OvRYRL*KfSH$0|nu3CAILdUVvDR<@oU3RmIY%+Hj0wpZ+) zY1w0IC54nhPtJDhorZmH>x6)(z%Z9PJs?yn^d?EB@B@&Mw0;)_)tlRgSaD+Q##OQi z(hmIflK&m66K9_qd=LsKzDi6qDasQ}vc*Y$O5c|d_NUlN!ERX{k#l+za_?zxN>1ks z*b}wJmosrV0mqt{S-o~)B-TT7$4n+zL-Xr?0BXVoN5^>-Jk*N+2S;vI!*?OE7_<2z zF`LtSRaxp5`?Uq}Z_m)%I^-+n#|}@1TUVO7br!my9BWRKt80#sC@*P`c(RH904uqr z!~^_MVkwds2rf@Er+$_If9d(vGBD}QthsQ9x0|epG6bkEsAAi&)|<>?@$SzoI? zCx-OI#-)Ue$M(oaS4l?Z((Mwv_rrldkXBc`Fb1x>DZAtgA4g1-rVq z`9td#pJ=9B)a5k4Dl;U~V0Q4kzTa5A`3qCwg)dPSo$G==sQe1W_u+2{Gj;dpuoe7HoocEFr(%vpvAS@_nYL`AW-pj*>uSh%OV*K+olUDwo8u;)M z9A9wImBE>DJ=}ztdZ2(RG&b@R@JE3@*wAsQQVHlWc?6;OXt04-bfTe0D}>M0PJ4L3 zF_AdI$Bq(27qYz#OBZ9J2S0PKGa`NABkFYyhA6fnO;mo(ao3_506n#)wbd^r_4fhl zrL<w6DApAe-@rSgSF7<2=<`h0+lQY{Q&)GZ|IYSs>bKSrLLw8!^T3G++Puu_BFy znySiiJYcFyEe9h(Ltzjck*ODPPp@pcL*B9^)4*Xd(rHDH@~XejBy-r_1L1skXs!8_ zG4#*}yGL~Tvj;Ow#W3_X6r&m*38Ebcb2F?&(oIrM0618=R-`NKX-pgPr`gsp3C&!P`O#ESNw-U37HztUG3)6S$m7E{Mjhiguqyiwl(*PK z2GR`!8W!rExTr(j$x$Ko9noRqOg&~viojJCr)s+Oi0B-+38NiPvqWc?R#4 zRMEp5xxu{CYhP+E=`__OZ^MP%)Ly9n>WtNtM&+EvW$rM6u*}$=QtJ|L^lkEWWee@a z2`9z|;6XH=i@MI1@*=ne31>z$oKYxl%%)CkHX;H4V&NGH zMayWsDbATU8x@-eaUA9)7(3TaHV+0@YvL$< zi>MZT333Cd+|=B&)qw$f&9@}L%LE*WVK#CQV=*j zS59+#b!0@|Wgsofm&dz-@HLf{^3SRa<@PxlUKfwa64NGiV#+QRI?7VzJn@+oO--w)d-z19vyVS;T8~#I#mgkEvd<9rphF~TCJ6$MR2~@fuyukqEW} z|K3!}E~E48dY%Et`-k0vUxq@4b|BRqip}^FUY3;kYapUIzL~uuX?=mE+G3RVKcK|u z;Xwuq#7N*%7;zTXt4uwj==o%rw8-cua~R%>F;Ys#HJFaB>JP7et_!nbi`1t5fmm$O zvRX{0vWeu&vXYWo#Jo2n|0>HqquglAkU@~+tC2kmUcVkKW+N?B#Bu`rl@>O!B|gXD zVq&JG=N-gf7|#OHQ`~03fz9yswOGX0s>%KxyvQxWPeBdzP-0pwj%lXwkCxj+qy1NH=fdzRYQ%+H%`Wty*-+*+?O|yNcbF5hJmekqD~=@76|x zvu=1mJIih+^O?PsD4dwwBjW%{|KhlmL}kP(l#GqTR81yxT-x6dYwQ<>ELz`K4YIxf z+Fl}*hrkTa#Q*+0m_Kym_??_pH?oS2ekure4BR?5ijF{UGndR@%>S4FovfX#OJiq^ z_Y$x8PHmna==Y>K+ey{()WNfB>9~91>aU>%iY$-wbSX?mG~yZze{t8K0V@FE06KX| zrPh?0p3L8CP9-#=p7#B}S-rC?w*1@3}P3+_K@9(lyWW8OGN?}YlDcmLa4tVQAGy@|4WK4WO>N!tZ#EJEa z1Mo#b0fkfW6<1K0?V&)zDIYehgAZdiuCG#;MZTdx{hzGqC?qOS3lBMP22%!;u{FZp zHzMlK)&sk@gI-*ahxyj{kcrGjR()lveV8PjH$k3)d&%7{jN9Yap5!Tx4B9#L=@Y|` zO-_CfPR6-2%u!Ii;0ZDO!;`^`QPkjtusP2?i2hPfi88MD@@qx|#Px#eDCOh%&DGDp zJi^=oJuSToKKoPmi_i{;bPHaA->&9 z<$4kx8=cz9I(1|J7>hN~&Do6ST7go6Kivp~;yHK{h!q=__0N3vwRWtTkPo*?`aRj! z67tXpjxZq?5Z)U9BZ}9ktGHEfd?#8r4l?JMCKd>cFM(Duur=&P=U{j!zYi`Tj81j! zUNsXzeMI$MdVOG5tIgkslE#5{3$J)rm&bV!SdWp^BfKm59KlJyr0-Nj>w<5_OiPvj z3DNwtnu4v>VRwqB(ooA0{fX0tIR?$PW?DuMf_!f>)lF&uHk$E;+pQM)`+>=q3B})0 zQ%e9!muxm`nbbHe^H(qYMoQedTxIi@6x>a&?-NqJuj|uyFL=s+#_VUdtT$9$X+s*nM>koaizG8;W7C9D^ zB<9&m%Xb*PN~e-xht*g<_>2uQu=tr%*$rDI+61;XSB%eyldY4W^;B)i)KyD#S?Cnw zv*j>zEY>T->$#21v9G4$$D29SJA|w`?ga8sKsjwUOlOD~Bcd+5x=mAW?Z^dRb%p2q zX#}T_o7T|SXvaYvZg&p4y&SNU%YuszxybbZpxe^ikade*C65zCwWyRi| zTjt%bPnd2L7z2vTbJXY26=kz~(le>uHbDZ(rc?RNURG=8HeL!pCm?qfFRs zp(y)(KnF1?zy@At(^dw7#(#(CI5UGIemBe+nb@=@ID29%4JPB}elNGv%($kPrn z)2Hb*xeuzT$@9Q1dn{8n9j=T`6`yIb5e9oAs-M#oF3apy^$t@Z&M@6PG9yot_L}k! z$e1YJw6(~aQKD9!b>bV2a3a%ci*#AJ*TiGZ%QMSoQ+ifP{<0WH6Le?7?02%n z=-QapK%TcThM)M~WZo`m1P*KoLa4$Bxh)gJqNIq7#_9A>B5fYZi^4sB{U+0OS0$eO6{(_5}Gw%Dl=WV6lTOa9#t74W>3r&02s3c6 zWUq<{0o(%RDA*=#?IqTv+3%0%xRaH8-+HaEJL6@h?3zt7L%}v?T(FO|e469G?BRfP zQ{C!-`tS--0t-F)djGXg9$FI_UyMd=bIiH_zEYE-g!uOybP`7?NLtIlEuBG5%6w^R+=N1n_c*u948OOC#ZjvGUH)jHWNi?b4KeD#I^aUQ`4yyGga97yy z4sMqxay<)HtM2>Bg+-uG?^a*W@)g9CS^86wPR`62JP?*Xxa-R*l^++gYx~wyE355i zNV{{aq&j{46tm zFIw2i73C;sCbfaA3(_lr?w4Av1;sPsXR>CNU8Nh04j^kJTNP%XtJ^FpRJHXhrV((& z+`r=54NB`(YQQv}u|Bd`S%-qG{DCSHHyu!zo!y=`V*gs*QDsAwMW^bi;5RcZB++XE zu;s&=YTTY_-q$8DbN);#SgXO9CX{aza#_S_^e%pfETraNtrzIm9n`Fgw*ci~-C57> zETQl&{viS>{B*@w(ye>J2jviuIa*z zHj7LVT-&lbRv0l=MJY`HZ77`S%DKg*zO|H@L)Vp2J2H3B$@BUCE59@C)hcf+) zao=-wOr^?Qv{)*n5pq5wY|5bt;pHiPl}Lbs>4!k$#tH{#b593p#a@UNkLN@0K4+9b zHieTZsTO%pOF#*A%v|gaklwFWl|8Q%il5JfPAsQvAxKOj8@WuE1ye*=!^i_p;J&uQ zS>~nr%{*W<$RO)o{GZi1jB6!FW>2C_s@=$QhpQeu+r_T0(Ofo=m}DO*T*RCXU|+9* zWsThQ0a=pXiCY4HdVEGBb;~!Fq85hNA#U692jMrkI%(RBheibV9R~XUa?Y-U$f(Q*uH7l@sG8Br~az^zbOsVt}*dC(>ho0En z&hT~p8iT9x?-A6>W`&$-^v;*_;S|lCk+dbk1`Rf;Aa>8=_^umRXngARV$;quD+R06 zeEqM`-#(appHTazxXpIuYZC+S&MX(oF?F4@@lQFu2f`x74CI0pj36pIQm-q8HOhDR z|L6_mmtiap`!ISlisxY1U^EPRm_;LLb0`vEs6lt4p{0y+F5q`%%(e-Sgho#k2b`c6|unvG_k7_1PbvOV(Vo}#~gWfd&fH+wpP@CO_zgk z7VTsepF`}t5T!7rjQ&$;{M=Edb ziUBCIw6(Jc&Ibr1@-0tgR3|TvagWae^3i&x4K0vtWICy{6MY7 z-r(5;XeiaJXjnSp9TM;{FLuj5vY_H7S=U?w4L8YFmZr}Q*Uveb8~~Cj2yxdBu>j(; zE-rC_d$AYz*$za~<_XLRD2>ex6Nw(#yk`Y{n+j=`|BdJ$sik!0G;lfvgj+13bnk+P zg@~VT5M{a$lU4(qnsQZYqulCH{!Dqe#|tov{P8TFhlywyaxQ2 znZd&>V-31txeCc-y~c>8!oN;Dr(;I4y%)VivViMQ@f|m7Qd}(Aen~JOa4sYNb|cFB zHfv0JsCVzsjh!>T4Ot-@0w+K_B5^^n-?Sfm*2$*%{ysttoZ47+SEmb_p>1`SJ1Ik3 zOpCUOaNU&ly@4C`J?wS5Jii8z?p6Jc*BV)v(D>_FO?q8*E+4kZKgvRkGyHpy(cUpE zR`;i=^@2EB`Mx{JpdYBDpAOl|wmQlru_Cle#Cv9$%Ak$j=X0%05;qgIU$8)BH(7Y` zVT44g`*_h5`p6IE@A1unbXc>vF;qyuEN8aK2H&p?ruTvC^ zr)}EA!G!YSJ!)p!0I}vaP$*;5@`eK<;v}&*tfkrfJ(f$ZE3u|sWA?iEtSAz1B7ty0 zE_w}DZ5A6@GKZ}+uCyM^z|mmyA?S~cY- zZ@XT1FU9-kxjrl2lI*qPJ?!Z|eQ*QT!nUPh)IUmVUZvucUHW0K=}JKnA5u2oc#Gj^ zc3B_R`Z#TWFWJp+ILhT@?{{iS+gJG>C3_cTKx-#)%h<-~om{jvZd_#=L%eFf(NMyh zxPzwykjRzRqSwz`yjZ)SEeI&RBQUE(g)A(d z-N{}dKH%X?Zhf-vM{K_h|K^fgm8AI^Is&~4X zbX}0Cm$G#C#H_;paK^CP_Bv~#H|DV})ZPJ8r(-n#y+s-df;7K| zI=htsG>*^&l$3@nL8#<)BwsxzklG=E8*gLYu03=>UKi6h96*OujO`p(oXuLHi^27J z>WPdc0kyE(yz=`Fe^)iCNqu8KTf&bcz4cS7-j5W+k{e!kfru&z+s{1ot&^yE`;b4b z)T*A|jYbE}gT9_LO7S_lm`Q~s9h-8$Ym+&a+&ZLAm#_&dd~W>DMm})}JTh%(HxPuc zzpGJ-{{3tOSEOi%`kUA8R|1#2yYtwPp5vIeRpb(8D&@K){My*O1H-x*k$t*=V&e{b z%(MqyNppbQMRhaJ4fB%OGJS}bs8K-l*pZr@-|-?jMksK^sTyhrv?Bx!qQtnguf4E`Cg zJNwhA@M~+pE5-&&bIDONek5LulF7e@obhn2t|;^hN-<0B1XHs-D*hrLTAg7-M@Xbs z#mogj?=?W&p--(_?>1N6OJ#Bt|Bo>;tg5W@yXt89n7^_6|&yZuT9*?>Nnkp{BB)nM~xM} zi8OojG_Q`D^JvM^k}ItSTui`F_9Si>jp7RBAxGw?dcE1cU*tpf@dJ~{iMPG%+#?il zV$=Pjg(N-#LD5_DWlCw zr)r?5A(bbF?g*!7WVeda4T*+dPkK{t=SsWa>Y&5br`){|`MaW@3<%~VUz0g7Afb}j zdTacikMDLMb9yQr2KRfTNJ@sv2)Hg70acg?$Msn;?v-eqU`>^_0~TcJ_r(7DD+orb z1hktLai6(UgpCKq1p!r4~)K4OR zSSnoLV4+E4`9j|AgFD{K(*cHQ#@Vexzv^;z%8IHIV}DbkM)N5mjd7B@*V4ebl)rsk z0%wzh9l{`UFdg*`MwEhv^;c=IUd8T{8Pe~8??#L{YSldZqb~Ng4sQB*Nx1tZnu8Gl zC{t=TusX$p4pCNk0MYpc!AqUNVvyI-^?GH25#X_-_QtwrKmci>YB|n*p+#!(5pu@c znSmnIg&4L2a}wiwUK4-^lYCz-`oVXwbI{?jUwPMg1Ch2@sGmg(J8%?TFmmIPwM8FUfbNDNpTF%tJfly3ST2WcdOawQF zU@N8c$z_H2;Jv3i30qFXQ1zBre0};9=MMWY7IV;_QK%El9Se`jD7n=~+5RC=JBU z<80UhK_y*LB`z+{+l1rIw&OAlZjN~dQ3&Vat^0o)S z5vQLNK)&-x5W5@3v^q0m_w&u*oM>trL(b66ds8$Vs*T4N-Av&b^b;|TwaMcNY5 zgr=#Wt$(nbr|l_8O7!5_x%vEI6P?FK!)hpzDdxr}#;bucD9=&{Omt1D>cAu`m-?BJ zn80yPMx6)owN7Zng%}23r7${Mvy8gA{iQCJ`LXj@f-fg*h?DRJKiXN>u$^jE1KT@C zXaTRmL+#fVMOoP&aDG0RQ1yCYA?i=A^3AgERJHS_c0Nh$7$9KEDXdL*)uRRecQ(5d zkH~xiHP)Qx$SJYu6fkiDXkuj`y`M{7o|sj(+|%mbO$Ift-Hi!e>(IfBfQ~nFJ9cgV zDo>aE%2taG6&)anwlN9(dcSmgm{kvA(y5UCb%C{pAu6)i zDk`ZaC3iyOfu_G#aY7^@Cm;*O&~hV0x;=F7?5{s%*KKoytbeShF;{^eS&Jt12=9pF%E=(~2D@D4}1;zo4+z#h3`C@=BSGPA%a!PQ? zTdy$DDxQR7dg0aJHb#V|x7$pm7+)hB(Irr4VM*^|PSmo>eq_zt*n9Jkj$^v^P~s>U zlriQ@^Qat)cY9ExwF?Da4BBw1Pu<-tF|q-gS+aaW3RZR9M-!nA+(V}qHzNjok6%hD zn@)-k0+Xkz)?ajUMlX_lj^-X^lQ%Sut|B0ptDi|#G8j8SA;}k;Y$FjgM{pvXp5Fc; zP2~y_hF~8}obcA|)7J>3G%mClnHXwv4I;%NJ;Xy%OTK({FK+tv_|27`*yLdzyJPTf zJ`wR{h}anItR(on(-tkD&RF+5msly}^AnuIaLTH@$a~GqkmVo+fu_X0OOJQGQCujz z-WHcd7ENNm>KtlaaX}mQNu?i3S1>z)mD@B=IDlS>O%bHxu8?ekP?d{w{ z+IB1A{`epQWg1g?b)l?L&-3nZ;iKEgFm9H^f%--il6**;8|memZDLs(LE`oe+_3c= zWPu*M_#xk{&wRqO#~BL#1n;?y;6j~yPmLFWu)>Y1_UZ#2SgCq#@AVi`_<2FRo(5AT zH04`t5T+vC|H7o6B4pzsD?Sm0%YZ(7@F6~?OOr17?!Qk*6u`3~)N|U~>U$)q6-%{BT?m?x)aS_V%H{hi86l+d5iPL4#}qp;)|&qHc>E?I^DSnrZXG)Fkh)HnQ zH;zAI9`3k3=iVqCe#)k+S0Vw~QmvHCr4{A;;N!L>TdAG=?k_u0wLra5On4jQHPrb1 zyrKs92<5Y~eY?JQqhRkwLZH-@vlj+fRc6KWZJ@uC&Nf?5@#;@Ct5hOQIRbYFdKd$} zqh3vvx1v0g=$PNX7!rX=J}H<}Bt2KWP=JeWSZN;`K|8mZ20Xv9K zHnnkQ3o9^?$Gy5zLt?5*ut3mf<2_UF7$>@1R9?O(0Nn{)VgfO5K5Z{v9V_e=A{zg= zdKBy5CmG#dlPyt7lIUnDyh$7=$?t~f3PfB4~GDW~7^Dt|&Lh3cUG~yix z71jyPLxXK*^CI2+-Wu=kvl33y|JppOOOV)HR9xLCXC3q+s~%!+hstGoTKdSEmlv&G zZ==tj=xiMyn^0ADDhJ-#KHr(q9+w7?%CTOW?eitTc$`rgRjau4ksHNY z!0MG)4do6CK!8{-R#pgR5$ZrAb;XvN8sbMz)Yfp=I!*7k{DdTs!Q5VLEqB# zq?r&p=T^Z!KM^PRWCgu3jIP^+p zK_6W!TyJ=v9(=~PHlZ?m?s7AD6QTah|8nfWm&1ukHhwU4l3}{f(L9w+gv-D_hSB1) z!d_I^%GX1fEB}ZWZ-L;Ra@4y`)=l!)_jcTA!ZR&Jjx(i%fR`YHWfFGI_GV*&N}0x z`LB+uFb`Kic`~=6%&Q6l1hw!M!Y9IvKfa9h zb{*C9XYh<3q4urAZb&>PC3%>&u}j+^3Th7`w5%EptTH`+puI>l@{xl3?Nj6K6Pzil zi+5qW&Ys8Tukenac>RRdx`;?vZ`nQjkke7ey#@&$8Pv0s0&@kBr_l$+;Szkw4KF*- zoIQT9sJb5aP-(K<#3%D5`z{w^Jg5LjdcWq}t=bHKov#VG+E&ilQsc|Jj7sO>(Md+(N9# zPx11)8Gl^^2Ht>b^I4|EOr?mh9rSFjN_R zKhKjzFJ|T2W5Q8X{~ZGLA^&qW12j0=jwt1UeC~vWTl1MDv068sz;-SOMdP39lbmP! z3nhqEB!SLo9{`~lWmfOBjBA1FE4=Z%Fb)XJormGw=vomdmMOs^Wl72o>cG3dcpC|sz_6MhHif- zQjN0q{xlz z1^+*OEZ(7#@*6gWznWtEa!3xWrOJ6~x`x3G+Iuq2&k3lIs1fM6$~(aWFd}Hz1YqcB zrGek$TunwWV}ozA`$QUCfab4spg$}4zIdX>GD9Tn$*DzoD47OWsQUAa9<(2NTV*jV z-R&a+5Q-FwQ}g}TQeiN|qa61gB>-Zta3t%)@g1zXIx zI{6~xlQ9^vq4bjnq2L{%pbN*b{-_&0$ZLVr(U&XwZA7g!{(Abo+(*v;#KICV3C7ba%9G zWYfLSYb21BMWUGziy^rDX@zxF{7{Bn-~L|e9Pq=-e@m)+*#h1BZ7i#%1+^GohY3XH z^SAm-OwCy{k<)n}d)z1Tsv0U)xA>7{&hu->l}c$nRo39d&^W1C*l=w<&wu=YD>PI~ zT5@N46%Pt@c6!XGJPD}pb3GSiUR!2E;$)|av~eL#0Wp+v{za^#J4*~8+@bpM7ULlb z1qxml9l-{-w0`H2#tqee#Z|Jmn#nv~9-91>_bf5Du!}z>evpDr=N1<%4GOx! zql5Gu^_h%tqgGza@7qV9`I$<;OA-E?AhGj<01HL*pJSO6J6y#3iejHSbSD0qaL4AJ z-lFfn>2OF1ML!J-pdurkG z+r8%S8K(Vzu7Fz7+CkN_rDizw|4F`1#z`CAb2J-ir%=Z)}be_OpwuGdbR{Q zjbGYc5~Bqjh17nRI!LXiwl&ErV<&Qeys#g%0`RhM|hS?hF%jV~H_h)}nv zPYlhE)+P2~&3qZ@?vFhzN&i?!Ztw{1 z@1AaUIwY`S)(Q)R+?M~m++6!4K6gG(OgRoJq-%{1=_cADSz7;!mIHvBU+ak7#9+UH zEOYEU?pqjNBOs5dpaBp?rPtP&fPO}l{s-xjdwaC_S7mXpXt`I(S&l3ap-)YRyzSoQ z*nYrUjcdqZ7pD=<)1rAXk6RSzP}|?6`5kF>C~>`F<{?6Mjc1m|T$Z<)nq z9aMmK^bVn5Q3{N*OjAnldSNkup}{d@07D0o6w#o6tjbXu$gAN-i82s;An6b~apbUU zGU-tWvzCKY)`?!@f7VuA@knekXXQcFfRUPkoVdg@7P@E%|7Y_k2rN+pSpyz+HhRko z_QiA27xIDTl_l9sqUbdw8nk;AN=ryF$jTSq7Wy%#Z{r#ksfZI)VZNUx{sB)scv%TC z&m(hFe9R#%y%RxuWilSb^FU-elt>Z)@b*1)e>q2X!558=V}&}w!saqXRUY*A(e56Sf zH0qXpOc8A8($FIRM2%_9INnz-s{@*7zeV1qAK1vHLS}}};H|pY9kf*4220-J&5m9B zw+lPvPt+6dv;y>f{%1>LCqw>U5|cvEq*foeqCtY=H=YSG!himl8^nlCVHe%q`2%PV zgRR{$Lt0+Ugo&FM)M7Ez)Gu7S3mpNPoI%W(=uvXXF3AwSsW%7+=z)k~ev@=DOC;npfHpn~Ra;6sKT^9q6y4ZE5@>jnxSCz>{8JQ`a&}M0x+` zLKO9K=SEa&Pog>d`u-rAIBE!rm)nN&!mg_bboK!W8hG(v=I#m^)7`xrel~K(clrSd z295_RCr2UxnXtl+ogErlg*u7J%pm39DudTk` zT87#}C6sK=#;yc3RR!%G(V|XIh-Scu)jhzz)TxmyWjq7=w=MiTXcI{|PkMT#-@Mze zANO@Ol?`QlVdpRKuTgBJ2x!J&ZTA5S4H zIe$Sl7RFc8f*0qzn$~ipk_4!6r(nqJuCdq;#pgyTPbGw+UMFr*2v4=h)LQZYcVMn- zZrp^6a+7G}bDV)TbKr0A-ReqY*&DLun~L2=f{e1S>JdXUV8SGeGHF^!hwPNvB(wO$ zyur+Ln!c5`v_{~Qu1^IWBC(H%a?lXT@1p$+esr~MmM?ixr+hmR0JFrRJWn!l)PW-F~e3!ph%FN*QGVl@;}X1GjRNcAG_ z$Bm3a`LB)!9^2g?+7~ex-Dj8eB?S1rdm$BWUNC7b&|1&v)2&o80^{;9WzK2A0g}pl$o{v}F>p;-HUReHY4qS(uG38s3`(_z8J`1e*vPH)o?A z8BIl0Q#|SyVw2l^B{}$*>0jS0MEW}j9W8?qFz1U3lk-`{+2e^2nSpm*h>ZBK1y|C& zwZ0rv9zCw&SdR2o(K6tHmfY&aeMvO= zt9}F@G)`h0$l3hK4s0Q$6(x0Z?!7bQhHLjd{eR7+Mzv`CPB=}5e-rBab>k>-==J!2 zEBJ7Bh(sE+Ox*H$FS6Pq%kPNxhbX+gvn9PAEx-1kNq@06c}Bb_Iu^7*u-!U*nH=2{tffl#jXq}EoG9r*a3JVRTuX63K!SjsDccR6~RE$E)y(fFtgX9CLA zYa1aZsu=$g4-5N5(Vf@x3DyZiqo08NFmvk6klV3)(0>n6+%;nwKFF?)z6-w6*)&Q# ztzdQ&M?mhQMYmPzr5AYlX|#Vh|EOBjue$JP80hj_6-D^qe^M@|q=ZWjTj=|tfUP6M zkwNCG4y`wSl$=!ue@&71pkyFRN@JGx`aNjf-6}O6FbwV41~y3_Uy>zpUX{3Gmz)G( zZ;#^xG{#sUz-uK(dRNS43e8YnIsWFT9YCXJ(p*#FI1;OW66{3$^x6heQA8oS`YN>ZfYK=U>)jNb!g*2)1#lLkmNz)c4x?e%rkG$QfG-M zxRP=KM$Kkgt83!iQPjlipnLAEOlxW6^9SPb@MP@f$f6zQT8e!4a~+)#KK#ZYn_Xd9+x3pz|~@>*wZmMbp~f1EO>uzh#}EZgV3GVg8zR{iRRy|H)Y#j(JC_Z%uj0g%;=m)jdUJr20L#X)oo#j;FyP zJ?m&tM-%^ju{aP5#eRrTAK$FWgOZcd6TW|$lVPjzkx_L1GtG;Z!27rchIo}Axr?n{ zIy`1?HfR`Ei+A{a!@(A8X3Y6GAky88i4+jU*9M*Eb{}G1&vBB339UW4RTfs}mRLWv_q_JMybmODliI#FC)dW=M2P$_s{4jKDM z?dJ|gv8g$;k43J<(8q&_1+o9kT$NPFnB)ALSy3fSf`BJJbE7kNvIa00wH?GCDF;_c z9&Bva4|K_r5tLq!77}2Emm=5n{DR=l69=+J$hDBqB zJxkw;_i249R8T;cuF}O%j!(NjaIXad{ZAFpHVNHMqW5i42<6ssV0#E{;#PKTEH=uC zF~pL+4ncYi*#o=zA2UQhk;(AHgGHhTlcXX`kt%Uup(FG3{=4Uwff2=8hcK*Glg?3S zs~qluvXBo3qG*#AW4_o1v0lBm=|=D;9#UO^Z)}9%Ix)5NyHfsuf(9P5Z$YyArLzNq zL}~?3*>@ySiw+dB@;KJJgmJQfUKYqqUQ!YzObNoxXI3-&XreAmOHXQl2{c4HIMR7; zVJ7C%RaFs_yU??|Bf9#vfkyjBoYmry!3v*xXke3BY=w!KB7wzblqfVHI;((?oyF)Z zq>|0K!Gp`FIuq3CqdM1heUr}YyG;o5!qpE!oyK=DJh&W9xtg-6wPM({@s+dpjJvAJCA zC33^Bo<*7;V^F-L-0wNS>av^1-#+F~Z%-5(K$hP3k@7pC^~7EYblRH(!jrv=FFTL5_YOy&SMiF+4s9NRW_eQmDHIrb zJ+{88$MP|SvYx$iXpysaOFe{K&}f!-6d$(|12CpM=X#8O%(!W& zYDTs?wO@f{)&NTio)Uqoy-_|V*d?xQai15t^EF`B$?bYb(8JgGxE z<3%mYpec<*cWwZE90fqLoGc!`ReuBg-UZQ?Exv5ZY}EQ4;FJ#^2sZqaOXiC zVkww4Rmd2gbQ`SiEaypLc5n1AtZ$1%Sm-f~5@2R&4K-Zd$8s8cFr>xd+ecHhX@P`r z`UBUlpM-Ze4#Z!4fK?(axw!1;Vm0!Om{FU4_}=9z18A@W5fcgWc$e!b{SiBxNfe;t z%S~)#=L1@cw5RRc2p*Rmn&m=1} zVWn1cYo@9Lw`4G)d<@zz?n$K7!>lHq=lpG8zNC7A(q{bB*4qE}JZk5k4s_y#NLag5WVfqiQX+Ox%VMmPaI$bqZxiIwnzFynX%J7T z*ujwP%LRHk0?1PBQWx@n{ZZ{L?m&m0k@@<0P#=1h=V`pcVFIaw>-XtmzVCj6x2bAYWR9hv41MD|$imA!W*(5#uJ;Z>L0&~mVGrtTt z7>CSqWwwiGYLPtcg~#t#NNq-GTDw&bXVVUJlmhf>)l-WZnYHRxH=Ms5z&3fgMuky_ z%meu)%fvf0#=`WW;CUXv3}{229D9w>pv$9ZIy$o;FJq~xtqX2?garvi0CL1+lN0$6 z9T`JiOyX5PDItY3cOw^|g4R_SY@OLa|9WXbHstU+BuT4$5eI8J)je+;l!Xs$tD&x& zXz_Dz7T4GHxnCdXZ|wU$S+U+5s{|MYJwgYS9eVB5&>xQXC1_!iw|uu{hCplxXeV+6 zakUrYzbm~Rc?SjWS%*p=%Pap^7wv-M=K?Z3kvur>+@ZT4pB5xRk}VR$*EJtb!S-BQDvbnZ35B0SO`kP zZ8Ymt@Wk6fMnjXc|8Ig9rBOUjvqJA@U5rxQ1@wuf?38cN7EdmP60=y}aFR$_PR5`0fnf?UAla|N~3u1`|e8|B&;^wHnG;-=a&-~h!7 z7n{@UAE(J`_C~!u(d#(=3rhe!&wa<}U+U}T)2i(jYgR&_)ELL z!Pz<75P@ROYpJCjhq(t4 zKo?I$camK0d^Aa1P!^`H`&!EGaZ|_^oQdFzMmO~fy22Oi`zDoYUb-J$FI>MS4O!9)9I7^_|jS^tA*LubW;bAlB z9tz0T)+p5}|AN!x!n@8O)J*hEO_V4%jP%aAGCaM?(R1RK*2Kc|UvC#xwqWb)^=;*f(PRe16(yy z-c$1T|Bx5vXQ_j>7&WtQPa%(k<^d@kbQ>!|MN^JFybX!U4gDA?i}y!w66G&-ALDl) ztXYtr2xyP^4zDoAx#LTjd+5doTI+6RnY}c~a1n}yq2KrWKnvhLdeYxGP$$z!R@;SG zPq^bxsAPm!N!86ni&&@>d@Nm6I%8J1BUiJe_86@)=yT!)58|+CTd0PY(T?akD0xlL zjM)Yp@`i}QFv!4zN<~fHo0Bh?YEt}I2>O0E&mZ1)^3c5lXQ+ssR}HWIlkujC)0R!M zK(I1T=fl#!=0^R~eg@`t=*5kSGWEgY3Lk0@BtxO|eM|Op=4(`p?j3`Ub9(a3f9YJk z>;!_2#!vy6U#1p0N+Gwdd0{~zDO`9j&8nF?6p<$OJ3G@R0IJrD&(<8%c9{xPRLQpn zOJSbR>kYeW&V+q3p2soJGPCR8*u3?EqW@WQf(%r#n#x2dGDMiZM5U>0EKLXNHNM_* zlx~82BbENszR%Q+ST8V_%RH|Kx1FdAuk3Eu?jN(XRmH}Z9NU) z$^^vwjq4*L53*+O=_wukkza9BMDbuA|B?sb?)Ner)sCOlC#Z_%i>1aTbss#S(k{Ha zTjz?Fk}BpqpX?y621Ikn)n1`M*Q8~jER}QeOOpPaU9HKWqHR=}dxX)_^wA8=e_o2T zAnyGl8j$wwL_c)QQ+Hl_+Y;x8VxNy5643-knvt!{-)QrP&D?t%9wZ!@Ynn_%4h0pK zFySYNkcq%N-WkZ&FHh#>icq?sewkpl=Lt!BAnkXdf}&0cXG$QKV!zTqq|t8a@8WhU zDE|Qza$LHNG+k=FD(^3CI2}?O^|3m{RMb(k+mH=#zy`;>;x4sEXBjKSvbnKwrG%3Rw)V z1~)wM{C)5}_cTSCdnyb)?Vyv^BSM?$Wxde!l>0v~7dMxynA(nU8xbk8?(0_?yNH5o zyk^uM`Mf1Zp!@5~JPDBS-fj#RleAf6sKoVlles%t=1h(i#hA~}^Q%~x#e6m8=x%J+ zXxRLXI}L~?&nC?xTCh2sVaq0J5JJqt^*^Yg9s%}B zzQ{ektC#-Exh3VYCyBX(BF74oGFpE7P}BXVcDsUL!RWXiz|sZP$@Oh87gmD;1Tr<- zgQkYdB^kw&)ZvxZHMj;%sl!d2axAoAUs=~9B}u{disJ^Kt>r(J$KGy(8;VR5*UA)(fbd&W4Wwd$A6{(zqYr;U_aL&qoHe#jp&t2~ z%>`OmllF%Ymy(8yGlT~vn;uPC2(T*xYPh%ANnG9{O#&mJ`H984WFM3AX4SJbY=&6; z9uQ?4UR>jz;qLBpXzm1)J+U!^0BAs*BXVnR46fAeOzH!XDjgCyA$Entt+U!{ zf&ds*o6|Vm=R=1PvsEkdVlikCL-etTNEDNTUc58Iwi*E|O-ajNsa?YY0f5Wd{LB+r z?NOs2fdA{2^#mwMgAzURn@ ze=p{8n{(ci#Q&iXVr})Iyq+%?bP3mTu_a-Z%yC<}UvW*;TDb?uP;f#Vq+lQr%E8#^ z$9iTT^KCK4zMAB16G)7ew&L8NniP%6oVC@2=wjM{Gt}>In%z8qfzFO9tu$O-5y0sA z@3+7oP&^TTsr+aAjh_x0rhNUT(`At@FJnRs__C-OL_o6IxaL!%OK2#~xtxyyTFqVbg*10XJ5}YvKa6He7*v2_XrM zB44S65)g!N-h@E-I~|TXs2v|fcbM{^6DddBe@JptoD!nW2Kkc+jyeLrSAsA!ok}6en_7mG%YM_;a)>Ea# zXYG@Ng_){-Y5d`U5Er-pwdFfW_@NXjTK5L!>WE_};@8{xcegdjhrCL#P@=rlDEG95 zr9F#4M5!+FP-?T1PpGftg;L>aUt?c{Vcy)tum~big5MWy0~muT+&y}X%HN(A_eZ#L zri2%ufih?)O(sh17^;;K9a?>#36-UcV6Z0 zwE4R(Pr-s7a&~3cu$h#5wMDJ1YhS;?J(BGMYjy7!kT_pz)<8WH$)ijfOyRe=MughF z4vGPq{_c!bq|UC%#`}V->)e-ZoB)C-+U8#b>AY-S$HZ5e{j`&9@S*tg0RpTq@Tz&! zGO6`$fy)3ad{()`xND(ljslI&n#pO)di9VO5?i;y;TrFJGSZg3nEPJVO?5_8GRrv2 zMlib#=4_Rz2e6e6%ijIt#zCO)Zj*BiD=`>in1u`*zSZp8MCcs{*vI~AIsk8H`L1LMQ^Ylj`O0Ty9gD3SJ6W3FU z&*6Kg9v!fnVb%3wxYj>5!zld02`64w7CIrAvvFbx$CsOb(_fhZYExX42FY*CMCA$8 zIWl+HBtDWh>gXanm}T93r4xI|XyvD%XIeKz27Ng{qqwb4j^$PaRJeU}d$j&VI6D+a ztAWv03NW{&emhS!<(DQ4%1WHFlJy35thuQkmX!v)WzEmG(|D2j$+V(SYmx`n&Pr2s z{EXxsH-bv?kr3TLkhdd(*j6kZE0bE$p-FCcXF2YSf(};+VNhqQjb!VJT=@+euKZ!i z_v*^-PVFq|{R-i<-jT2mXv=?xzV1g#-f-n!;@!o`p({5^JlW%;`Y78~34nd?DS?fs zc>JCJGndux_z+s!#aY;K3D?{@wr_|0u~+6C>&=$SxK=0j?=;#ANJhSU`b)e=I%@*; z(QKgdNV}c|e!#nS2rtCVyP{cJf+Xx>6Ax6tE|$r7cDt%y`Z?Vd-L6Ku>4~uJE8Pub zPC>~Be82(g9d<3#=IYo$r&U)7Wtp47&n+ml6vxv(jzuH!Z<0Ey<4=5dU~Azad^pCebvNzn z0>I8Vd}WE)v%hIRlb12Gz}eLHO#A^DK%Meh$RGqoO0nL(pzoE7!VXXAuG;cvnZZlb zZvQ{8LigaW-)a>Q;{M!aey;1NojWVttSq;j5x^4WGtWc5AQVo$Sz5&cEX2usiw1?G zOK7}Yn&{Eewq%Sd=X=!%IC2!Onlu82hjgL9C~fl?ZwNxQNC?O%8>_6gYZ$tNB~xwg zqkJJpvLE0uM>lRSp82FT<=xY&wanAD!mMPuENC129=TM}lE}wXuL+e!x`m{`RQ2PU z^F`?k)70sg6B8b6U3T?+@vVS)MQ-gemrx`^!>suW04JvSalr;j!!g2gqGYT0cLd_p zJUcC#b+LOQqcD;P&dy4TBwGgJz5Eqxxr}$gTUY#xiLi4;M3kH#d1{FOyNejg6ec*6 zRh&Cq1aHMsYRT4-BB6#FqO1~b;I}4E*cGxi>ndyWz}JlZWrRsyp3n@sh@_?rF4!rq ziLqdJ$)Hp4uR)GAJAV*{>s&=~yY!;I1E z+w?GS+8OZIDzQS`cLFcgOMy2Az4%Iv>^1%)!u{WqOEDYtmY;)rDF0DomfJ?LK{33M zi6gA9+pPc#VNeXxy?jCY+)Pj`q9RCqN^9@=8f zu^{`!A781P_*BA4?YmGmVftqo6(@x-!@ff6C!>GrhZ#4QHm3#)T>wtokvB-j{HKIh zsxy#C|AmaA?~~^^zZ}a{yZIzLhdY{xCZc{WyDFVMil5km0igCLwi;k)G{A=?r;>wx z$(s--?x%`ebD5Vcc9Anx(>6M#0b*Jd7D4Q<)Y?$b^*)X~C#yVV)n@>%DG;H4sfUgu zYR&Ucs_`kLgj-CnKwyId6cM)S)WuM_1 zxh3uv4B6b;~ZaWlBvC_t{*NFgMw?3xY&AJ*Smr z4c_(r5;qrYRR0(c+CWDJP3>K?`#PoKxpOs~F7Z}@{><<;3E5^_F^cLdBRTxFn?W|P zS_S4e^#zuDbI0nc)@C4{|M47Nw<{rN`>iI1ZZJG}(v#?UMl_$~d&f zzdRi(3$I#k4fd`%C052EXX>~1CSi7P&ZCigH8j02b@H@YB38=ZsmCl1;IA~CLd#@B zZ@PGpHQj{5Pu`>zyLNxGV@Rk7AZ5fxJ>QmT_PqiVWTsaDmy}Q1A<8I#kK3Q20 zsw81Y%LcqY9&f6jrkz|(Rp<{e2bb_Vl}ur8qSvW3m(sC@0INzuOvK_TT(iTu?iI%N zM#LQ@h@*1>Eh9*uQ%#gJB4iJP?F=MQ${&Z!c(c{k$Sv_!oQT$ks*p7tKX&B2(~(k< z@LA(asW_(J>-_qKqmWI2#bP-u^xHsJEappz>*91TGTY##IoB(tTNu9nn})0LVly_$ zl~{Lp+vX66Qj6B*JhxpJ&xehvppb{Qag8Fbn%sw9UDrPfsV!g%a%zM>FTgnD}@oulkVDb%#=U>RbY?X1LiYb}=@a%-d@ z_45@W^1;Om3cYNTIJd`>W3@M(6>R6s&U2m4AT_}x7YH-y8yhw<9h)zR%;0R$jEeFH z8+Wh5u`F_2_C-qvOARt)UEe=`rzcjWd*E(d8HUo3w;JlvnUGnZYDk8Rka&k}1X@-! zmC_N@p^3Gf%Q{nFQzcOBHFM{xS?g)cjCX9U*fhV9yc^Edv@0=ABRn*FS$+Gz0CnvD zpFkZOCp+W+igf?^bj<7w|GQ!$U}Iq7_vDfWX1KB|*u z-$-z3I>5Rf6pw^5pb-L3Q1=0(fTFa(%7_3kXotW-pb;D#FbC#l>w4+oLlB{kVZ?}u ze^L42fr9fGGLV6z_s#JT0y{&P2nawRBBY?hBm?>a2r#Md=!g-CAjt%|_7wRe;N`@K z3~oelqQzD4P_}peqt;J#bpUC!>;wdagkYaJaN}M53ijF%K=Xn5xcYSIxHg2d{(y^U zaKc~TMIdR-z*sj_6LWVbCnMkv4rjuJ*LMy<0Q4N2fb(G;LkhVJ6!%v80@#N@U(A^J zh~WC?0B(Ol*aSE8x(FyR{Q$G}+8BelNe2P`g9-qqPW=M1$ny>%gun5ue+UBodrg2K z?;yWAw|4)PlkJD^jKgba7e`P7?*oXh0lC|mVdfPVj)lF71OY$*e?)^hx`-J+5ac1Y zF&`0x-*-4c6cW~e3DN=oV$W=&0=o)#KDG~L`^5f-v3Cm6g$cVX%eHOXIAvR>Y}>YN z`;=|lwr$&f%l&ms{8uwQ(U*CVR~eD`|IW?)Ax_YP>g$8$;R3OGvxX`Ur~L&5+nxa}EqzW83XJ#(-WZw>fYK0FQPDsP z=m2K2*M|JjKY{nvG3*Nl=`)xH1NN(xRPRS%1)~G9gBhKsuf;`LrTkzYf z|MRKUIZ0#Y{ww=+mk|WAh(g^_AS2AD6o3|J!wuevoORUTz#ULId zzhcop!9YC)hW_q5xTCjo!d1dbZ2kFCn*OhGhOvx$2$@N@nCEM)2s{}a;#VEcm{FT@ z`e+EBbZUaBStM%)~3U>ays+LZKsuMc zglr#OTb(e{{K;)Wce2YK>br|+KiBKJF=Qu{2=`iKbg^KaqM!VdF=0FHICEEwrJye! z;R$| zQe>a^IOm_C&N^m;(P~J|Uh;NI4ApBW*SQ$FGp-U5A&e66%@ou7B1rWQjg#rX-=(FL zZkVV#M<3H(&rFaN1mtMWF|twiq;WoU?ie)ZYXbb6nO)1PCng7#f3+gRuI-C~=iPda z-vDV#+JVH|Mh77*mDX*vHqWL+gp1TaQ&ODMc5}r`WvkirW|V(OhObia7S1tHv5G&N zl|w$_qFJD=GJIoO-epBP;!(*0pUkQ|_q^B-s%$n(?(;<+4S-wmg3-syZ<41fP9YWG z%S85!uhJfOwCeZI9$3bUvJ~RZp+;fV_T`4NBZ+42$Xc4oDjJaiHY-pCiD#S^fQr@gWO-_%JIQF%iSJnkswP$@(;{4`u#vStCieE*X3Wd81akWjK|Y8O$WkQQg#h9`M3 z*;kk4F@3P4Da3HE>D!R}O#QUc$K?ZqYK0s3=E@v~$q36Htk%)FBUo%WG*&IB<$gQvz9>>x$(ilVn+I#JFDcRd*4OBxCHg`4 z`~<8}26=Ms8rv#~ewnv;krcdZVg|@H9-os_Vl?$A;B&vuzq1oNw1teqD=LaB&$76m z@^%`UYwfe#KlOF<&64dlLyJY9d#p44EcFoIh|RC>?NVwTdds7nh34Nh=BfX zetUb``)PiR#w%1>?V0-F6Z$<}u?PsldNP-Lw{G2HItt}t9EP7@4N#^8vCu+}ulg!v)W8iPjVwZkP zij^9{391B1dRI+r%Fp9EzJf)&=|{h-J%E~jbwlK?;h7J0Ub;uc5iS1a#&2tq>c|cl zKE1=w#@(twth+;v`Op)-5iv0dL2a7vHQUXf^mWt!VLwpXHv9sf!BO}+lCI!b*RJ$J z0d4FsE@gyhT+U(xTQ0p-k_;oJYNfB4(=4%3*KM{q6ly!0*9mt?JxIr4C0N_4`>+3a z-}}hRB)j`wg2YS!T$0}$nkh+*H^i^YX5|wNAF{v%Y&9+pxOXJ3Jc|s$*wARugMPs6xFC|Gl z0*M`wHj*;ga&%@;jsZTKe?Kd$ldk8U-u=#BI1}MP9f3kwCIOy7TIu|QzHLqc;0IVR zmF4tL9>8;u^DB|f97d*C{G=vi%GF4xg(le~We!h-kaa&4)Xzu2Tf1`NJgL9@C=|uI zLYG+wgNBcs!Gtzge{Afy?Beo_EsOMwY#kBDpG3QAOkmzmx|h9|kLCB)y5;7MVyNVL zN;g(F@=h<|K8~K~{>*v34D#z43s|O51xMp*j7;BTPBt7D3uH8!Wr zb7W^4c<=Nt%)-TqT;*MQ`UNAuh1dSE2Gqx+?RK)z`8^ce+7Z{e%|gy_DjY|IweBW%h%}s&Nn;R@Y>q& zYPMW}wDory;cVoJ#JQK>Y}d}M`qWxTEMfV-IF9^r`+_BPlop5<75MPVgU7bz49&A} zscAA;GrKj8c4O*!?JAJ&vaBpcQ?OQO|H!oFDt~$??U5RJNNgT`m>I>FDh`=Y98IU? z$ga1;4vbUyFNkIux61&jDPL7E6#geVtFhb4DD6c4pUyjQXy=?3xESutw$sD`J5%;T z7yD&2aLeY7{naKF>GmwuM;8f;FqSx~F~coGC7c_j#g!E{0UIMDcf*w-=V)X>XP9no zAOBf%zUC!I9$tntHWwUEVV~cbQ;6~<_PO+Xr-AA+&MVnldv8t_xU0g^lE-z}SeUoZ=%Qp_Eoy*)xSYnf-GD-8}B*4(cb3s8;~<6SS#-#Ccxpk-7F+s$0F`L~?o z@+0H@qsNNK6n0?33YI7%cgYMp`!iojEU-4i!5dnEh?s{J&0gj9OcrUT^KLtbE@{4T z`@LsFxjOfRsD-Qyi(o-@g9u(}o-(SI%AMJR1oK@e35Rr|%oq&Uss5v8!o08A@ycal z>s1p+mRl}z?g?~jwdr_Ta7lqD2&#L?MZ;0j^j~yZh`= zT=6Q-{%QPf$G`1G-jdLqrw6=NIc~bP`$(4z#FvpjIQy>@SOvk!iS47RuN8q|^Pva|fTbW+GD7^Cw>3L__S{(r)AWUEB%MKKe) zVR^_9!Kn|5fH5|F^N#D_6t`hqv+j<;z(|yYGagCEzNSB2T0`z~7+}H6L$Xkrao#no zq-z(wm7!9x%f2?^_abpSdrw>t>XEnv^_`q39*Pr8;&29htG>_OCrwF7VimH{@r#Hx z^<5Ae62#Z|@3Qha%4f%gHJ>QdDe3hqr0{c$s&VcRK~F2UV%tytO=srjPm)jf8yJON z$@ks$qhT3qD6^772M9Pf6IwO)?&_i)G72%I^NxIbY^TLtc*|Lr$f?g*Dp{Ure;Ce2lA<~Y3Fimt%M6)D<}zrX)AJmq!-IS zR3C{65)LeuNIk2>RiDI4oxz`0`uoNT4_%HETO#|`g{wZy6hEbg%0Xc53GV>}y76k5 zgr}Aknmu0*(4SFC+mrVuq(|jnv3mEczq^ULN;DHIbyw+Gcc~8zYNu4jTaqb9aJafv zA}O@t_@XtXNbi|0y7yh(^gLdaxtH42u~9dSAh&kc3UY)kjmU#Tq zu|j1d87Yrl6^y-)$NR?*$GfoZHX(mZa@ZGGqh;~dI)&`m(}>s+;fy!c)j<=%Y zVvU|ar}X+4g<#H>Ow2#urzV^!XLT0}Oj{5Z;w#oGBC?zdo-f!@d(msl;tVd{jug=C znll(wBBy0A4LdwgB+r|he!s6v0MnA>Q_d-CE_w$%7V}K8Ow60DF{|!e-J`(l2;78_ z+A*EOR>l;O+Lx9|ZkMQ7=X=%_*1d6lq)q4YbTwO^vYTNs-xOMM`NqC(qZ6IRC%`b= zR^l5>&-c)eVp+|Bd1@8qTEc2aEj#>q$$y<65~vK-G?6pz>odA_uF{OpYgn8Vss-xh z6rsvmkE~YiNjq(DLo@N6KBKo$Xt48m3be8#J!|=Rk@%Vtnb-divYypxqC&v2#r`H| znhd$ahGVv9y#$$;>+x2O-V$fkQ+!<85FSwEYb}#9z1~-qiwyN%uq}IwCo)0$er`qby+YVEXK#kXV zPxzDK8QA{odR4`QPz_CeWi5MMt}{m-Op`pDF`FI~03(EB66j`~_le{YgVs>VS)WTx z_(vZic;XM!YPX1XoCxEp18Z8A0nvWoM@^DmAI0u?BW!`zP5+OInjcaFsF0Ll+MnzE~{sZr-gJ zbS~hoqs_-ef@=MiSS%a;o*gE=HD3!j{pCP|_rT{lRprDS%sKX76ksoUc{=ne;>zIA zw@$32nDr6_Zftd(M|KGYOBW2LJ7}TT&&Sp(j&NLxejS2Oq!6UZC38?B0`D_3lA4QF zu3lkSZ;9}_4UJ?Cujn)6h0mTpy2{(5uz-qnhxxTXM#HVUXJt*;;tZ|hI_>=iyUOjI z`a;_4CoIp^c{iZijMjVE`0k2@^P{gGEzC!&PFDa&g}I6qSsy3KVR`DTt=1YW2#^)A~P@ijP8^47N$7 zt@y6lM$5M8O!%u=YTb$DU6ENt0cnKOl=bpdQCf|4f^q5nfme;gdn*J4(Gy9zIPT@C({etxuxMI0C5{}hj+Wy$QZfdt|w@RBkJyh%U$65W7A!f7T7Q7hvND*}#6It#X2 z!va3lm3HogZj~iO(oGxXG}`SqSPw{<&z{`B=qeo#-Bo`uT0VH34&B(|9!kL`GW0X? za<|?E_nE(hEjkCq{tzQ7e~AHI{ze1d9=uQ-%c=LCW{x;Z%LY$yHvP3$%H!j6Hj_A9`*?^2fj ziN!kc&veOTs9&+C@+sRX-&XlPAV_;mRDC{%>hB>+&Hi%AUM4}nH6I7#O!I1jrzxahxA4DWY9JO0Z(NKn<8qRjOxrHUf**R$eji@36mb?{NK z(3}-jv8ckY_d8vi^{WH%SYW53CR6%*)1&T8nQb6i^{%HY5@s7f-$kd*NT}@PZPQHV z+M@aB>OrU88oqjX;C~f2AhZ>3FlN2xM0p-?o02zI`?6Uqq2DIA;an@F0D-Vn#R;g8RrPx1-Cw_>t05kE(xfMM_V_PE-)Ad~0|; zbzupfDRMdF{<6^a=4$Q9kC@y+?I2(nif(70IQ9Nybwb&Vw!KI5<&YhE;~M{bQRJ(p zna(5CG-d;81Yx;2qP8Fn$igT~0UI83HP=Rf1}RMnJ28iPx+@mw^=iw6%$qSGFLbrD zMz{Iwy^_L^&6GQ_7xg7+88q)EzU#Mf$*8|#$ZeJjg+ASv0|QMFW4KyR|V zqb0|GPJ?O8wDH91y?wd+z42D;ugSpV7E~tek@8V~I|}?DXOEbk8bN+C+_A7@Irt>C zeucO2isuRi4_%Mf$(0>$f5qatGMZn>voxnh`GoR&?jL^fb-1%2dm@$zh!k??Egnr$Ii{f_W#4` z6qoi^=|L8&*pL%|7KzCO&&wt6dWw)F10-P*6orvf^h(}Hhzeb(7pqAAme5kkl>{#; z75g-7d-whN+Mo7J$UgE|*Y(Wpo>jkO-#=kxMpgAQ#W}#k;ZPz#1fc;{ew41V03k`j zK!Hg8eR#?yc8~<n@?g51}$}&?NRRjOT&y8Oea?z=5Wy0!+~b zi2}%=$bK0~MwNl{AzsA$fj$HS5Fp^k{ytP0Z9n8fVXEU9X8ZGjg!~HuHt_V+Y}mU1 zLPy(1JpdB}eJuL9rozd!NdRs z5INKWp>ko|UciR~`@zF81r+Z4Q-J<`0G-xBUKePm9>qQbeF*`D0zx?elQ4$H*0aFc zMipGgGpMYAWO4~F`b~KGK^g|~pMwB`2>ShhXdTq^ok@8zD#Qtb*b%Y?W&kS)G$fYQ zIk00d7c&qV{HIt5NduNJ|1xfrpfEmk$X<>JFb>Tq5S3wn-;rSsFY+xH9a6O55028I zI`$xSRgqyO78*?4s9}ZQOIg@`2oG``KI6lg+0Hx`Ve{`^C@ToO^A9`N^px%(UhMsS zkag8}2@+A|uK|Mt9uP=UdSYT4ct0PIgFdBtr2fgw{q6mp&^==YlTdyi&nW)BEEWhs zghLprU-?&qqCFST*#$V_^Y8zLb>;mAKyU{kpj?BxNEVg9DwO>WX9CuPC*CAJz^z0< zul+#tb#r}rcBseTL-~n--+BMNx{y_RTUUDH1p(Aw9=9uuQOtct26&|O^fc0O)xQKp zw3MJwU*_nfREPGM`M-oHKm1%10n5MNDcz+psMT!QBUIBlRp zg7P7Z_rGn6{$*c#U_VupzcNR^I|*T!DDOOU&pbc=Aq7-mD8K1~^VOJf`To9e1K{Vs zrCNi(9%_ULA|3@lJe9G*C_ec?Zp0Rvcy#b!QojSp8t@^EcxEB}+#NsvvAXTA^rZwS zwr!|ju`jO{q(;H~-zenklVfoYUjyjIFZ>|X?WZ~4l?8dMb;fKdVG|%l1qG^H7*WM! zGBA*PNYpQ=;Ljfn7D14R(S0atpuw0xAoCc?l{#y1U@}FhX3SSi>6iFPdA;0Ru;6bD zAj2*H8vibAgtt&0B{>Dde`q3it0Ap^b!rFq$oe=W+4?r|()G8IA^Tvve2?xcq;rdS zPwgi_Rqeb9cF#YWfO8d~@bR^~pbj|+V<{L zx%iK10R2Kn^zJ~~vKrHd(#5);VQleV3a*v!|*j%O%&NH<@P}V$sH(L^Xe`LkuOH#s5o+bgwGD zEF~Gag#Q7Wi$nTaNve^xMXpsS-d9=zv`4A55p>$<%nZe1DKlmTn->m0f|D-8R~WX4a5o~-ytB54OC{RM00iZ2g7kqOzpNVuFtgyBYevwFhib|JjAXW)!o`}! z?N{5&!;{>9(mFa5uex%}2X0>qc6LtG-t(}((90qz;vXSxBwrC|`#A^>T4&a|MzXtm)tX(Hkh%%y@07t6zU_Yyi zV+Q`->Kf}4H)rT(x0rg0D=Z~C z)@<3Dr;=8x++;SR)?c=w#;8!rPNW*vRk|iit{l~)Irhs)FDK%^{`-z_>18nBX3x-K zvpK^P^H&+MptYH+6Mume%eN4D=Z<5PEs`;zA^&Oz4p7N*rB;V{Fj#Y+sE+_I~6;YU*G1@fl^zE)~@Y z_ZqGXoNwVFwD{np9@Ez2q6QDs)lR3a*4ysp7?RN?t955nM z!H}|_2`@JEKzEDv5bo@4SvB&dweTkojS&}`( zrt92Gv0o6%TtPpI;z^?Csdz*hyTx@6war^7QZ?D}S${Az8L%7qoKcDtywbbl>v?BB zH4Il{+j=MG6?e%%Gf}uaRT%s(9G9l**v-7;qnUCQI-Qre_GCG*NalM-@L8k+KB`wv zCvu3Kn*tN5H29+*-&ce2?P4js-V}8iPKc$vt#+|=jIDOCU1rs@$d|$MDpzAh^jq}L zW#4r7YOAE}wkSo-aIb9+ByjaWn|z#vh|5e^9Ubpg*VNbUO<0oDd^X9Y0ZM0xhU?@b z#o4F6xjq}u^%5X;NgfQaMrah!FE-yUP@pzjbmnLDaIa24NxoH#qU#X-z6@lReP>ay zx6bY98XJqT*ke5$Dhb#%O4^|V*NCXGF#8eN~=~_}=%H*bIVJK|! zu36AyaBs`FJFi5;G({~Wizz6JOtog7pi|wkOzIS_CfRfWBUaw^K3ft|i{-+j_))I;(A9zc3{4>;i zju)|ad#RAptTRlfGsbJEOoOvz0Au}^k3)uV*Kp|_^Am%JI-WNFjo{eHeX$+o&fDmv zt*JL3+COyqf#Sy}v2SGfC)sBo5Jw4qHaBljzd$U{A>EF=Zw?)e*eg#Q#-o&82%qVz zm`;N~#xF`Zti!;SGzUj1)@Z+fKIdGv0Ws}m=5%p*6+PHC2QEuancs~Tbvf|0>@ zUB$j|Jk5fu5Mt`7=}nAQDRQZeX|lDloHx?q5+z?Mm^dhw)=Sq5>4!qK$OkT}q54XKenL;UrjV*ix}&Ggu5Fh;Ru>CbZMN&dZ2V`{lwaG?! zjz7LKV6@K3+SXa$CmXMNOX|M<%K}e)9KK(PS?$9u@^mWPh@+1kbA6@?5Wr~>HmS_Z~AI?kTrIbtD%!> z$B*g~?lBq>*%q4Uy7I?FiG5M_T=P7TWN2vc{8cco`u6BYCC^<%Eiu@wkow-Lanbsv z#i}yxL`W6WQ?+X5RiJNUlv;`q%B`DJ;X-0C!Vd0Qv4=6zOj|Yi*b;4|dVYyYH{LpT zotjH(JqxPmcr2o;tTdh9m_>d{k`Y(_W^lKs9dNbLP{VeR?6Ln8iC?aEDL*{X=)UOj+SeCV5Qv4kVrKiSZ zAsER;gavB)da2DTD(ls-9QhPGjV~=kUfUmaPJ^N3S=0qNpnhee#nqtQBa)@d&g1SV z@W}5*RwAW@Y1wQ;{sfD!L~h4xs2que$D;s(_04LEJZ)j_`{tp6*;+R?UM}y1ac|$= ziZ;K&&7)%~q~iwQ#xZ@*pW+iJ*AQ<{I~?+#8h*cBz-*KJw7jFMkfT0BD0O%G=wRMI za6y4f`pfY9MDW!O6&kY0QI@WjHn0MXU4bAfl|Gk68ThCex4cwt#O4#-{ zmpBDpFV*xJhI6i>V7d8(Ll2_zEaYAPOw;n{BMeOAGNof3xS`II4llA?KU-d|d(8)W{26B{T?fn8yT%B^H8xQ1Pr|IO-{*STHr|~!cvL|qba<@2J2gQIUdYV~a3vtPxi(q~NkZaAlk;k2uMZ+%x z;P1*8sSf6z?VF8R)!+Q2ABDr6>zlRF#aR&f5Eipol4BQ^15-4bkvN)y!ALv(CRZ z;1`8^;sOU4U*Z*2_LOCmXUehMTPPuPLN8$6X>Wam5jK@|vlM9ImUUST!}=26S97$~ zyt4S*UPtUX*^~aBjt_o!e0ufl`#cluRh1x*pX+$kqs@BNuE0Z*y~V)@#Yw{vx-#xXSh)ZwxIUB&Zewz+P6AK z>4dOn0=IVq7P$H8(PfscolU~f^7uWTPZwC!#}Sc{roXNr_zT&xd(C=iPPGNE&uINX z%0qJFe8QViJL3#?R>?1Wg8+%hW;c@x6}HBeyTU_1mV+{Fgb}vTYiA$2vI_~*dH9BGOnxgJ1hF|M0c-~73kc9 zQ{0f9YVy+<=Jz(e%rxDHF1^K8M&v)KyGQn_GF{cviyETeA8GIY)7P@-*g8p$lEibz z3Lipim546cf|Cz4+U~J!*7#`>Z`U#78A#U0Ul7 z5uSKeI(I-d<6h|^fx_pxf{C(G+VOJrawFjdrp3dy6|0sQ)bWhPbef4%zhphpQU3I_KkYDJ_6vg z**Tq>Zb$2K|Nf4?n~N1=6RyF!ILMAjjuC)z_qCc?sbpHB^@ncuUU+3Hh_N^9rjQ2V zeI=wKYAS2QYbsSTF)36HLWbg)lvT@S9@#6sH2w2A(=JO<=z9X5@J*dAstsiiGVhf1 z>tFJhY^`x;-__%}8o&>K@-S~%s7T6s($yKoJ(NbfCVJ{58<6muHCVXxB!o_8L<-*wmYwHcMIzOU7cCDCoTkHr`H zaim_F-B;EacAo2XV^e&R=?r9L=N#k`yeqMxJCwk~^CI#oR9c)?JOrXaxS6cN?*`<_r{s>(z|nc*o6X5i)%$p_|u$cX0wC`IosoXq*D z4P~^IGtAahT2`d+DZ0@|_J^sEz zu+ed7W9F^81#pzNw}`vs?*}a-B&}}R&l+*FM&B3YD+>asPPc){FK$enfNjF`soQc( z_Nn8QGV~K6Zwme}j`lk;jc^t>qFP`Q$z4aWcaU?fN&z`wgih_22L>bM8O9vMwlU*= zXYk;XFjXpH?>mLo;l8JBstOB5u%@^DD`kf$+1-+7luB26FVVCSm`^tjxmUVNyJok- ziA7GRI6R$!Q+MqfDLjB|dgO&J_qILBB{Hb?6-KtN%yQ>8p+0nG7cO(-5Uyp_%Jo-c z>0|JzG3kw@D!2bieLZ;Lg)1jw^KaBAqyS@~KwNG2y z8`sw?*ZGe&1qK$T*l5({BJ{zD2;pNLtYqV>q{~`qVMMy&{u-0IzdQh2zutp`mG|cx)X9FW*T4;}H>X*I*q@&)x?5bzShi?_ z>y5$5h3Y04!W&FEU%@cp78Ju90`VPgie&RT1?SCpBj>9UZ((akF~`7g=F<2bIUY_F zw)HldtJmFT#)js&*)*H%HJhBNv^J|h^(}*sa?;%7E0}3da?^V2ZaWA>(&*TxTJ6a` z_L3Q?mX3u7t;a5~zv`g}olsj#<-LT6%HNE$R}<}J_M@%qyV?$PDJn0MxHAV+?oKry zPFXBY0!}e!6RmDc!xgn#j2jv`>Rj90hN`T&FygDREn@m~zQb;!$|g_QO9u71W{ruo3vx13)#q1sDrvf>S1a&5 z2zZ0px4n6?Q+V3P>!di8yD~?_C(y;np+Qa+oc)?rHbyzxM?WM+G>4SKvyVff+V7|k z>>h1A#dma5u&1}^E0naI+pH|ZIGu&=;74hi&Z@;>144$$btMc0s;2_D_;s+(^i%Oz6ng%>D=p-n+WuO8t$%p=8J8JaGB*_8-R7ShV_8<_p8eK%Qnj&{2kHk& za)>J*6h4?1|BVpk5sgy>m|cuGBxF|u0(lmHRWZz%pIMW3e34YV8W_1@GjZ?-X;f}p z|3Z?TeLH!)Z`FDa_LzSy9!xo@#1c@{4s6>q+sm0m>z50_;Qw6or#g^vFalx0;`RN` z%X+cuoh~8-ENzd_?AnBJEvcOS5cF-00M6!0Zhj#1`gsrk-^`4K`Tvrcak4UV|Buo3 zpWnvD%JM&}|NJ&q*8j8L<^rygV!g((Lls*bya+WkPei;E+uY9t$21HFC*sbDvRLvL zLK21qYH>%>-5r{Q>OR(M*1PxV=RY^6&#cBg_j7Y?_igvhR~HdCI*z}t8h#L`G9;kL zL&)a~1;|s*7gY&JppS@9pbrQcHyar41ne7@!iY75WXAxiefXDToV36I4M!QMXr5ON z3@`um77Pd)M34l9ND11{FW|qefIU&LzaaTQuK^oCZ0|r;P+ZHg5po0vhp{0W8%6V5 zU*9nMAr8QThlhoTer2F0IR%nfU~rHYK}xTR=Ff3R^{9e`z=1+ayT3F8)RytW9g;wS zxw*MM2IidnV2kouSHS(KVU3XILOc1Ah~@D6YyCj<^{mfxCO)DzK%m|kTZB42X^Oh?(Ohs(1P{|^Xe-=7F~h|{^L0QP>4YOIq*QkkRJ*ieU1L;K?DAj z!Nf=*O|V$E@WETaHiq(w0j)_8gp;r@KtN$zUnD^}+eqg=^^jPnV6Eb)e(nemR1=pV z{pY~HICJnpAszYKfNcZ$K5?)gnqYoYvG!Qr!3}H}i4Nrd1UKNY5aIc;Tlg>MrZ|TX z%I&whPJDh4lCkPvB|5!X_v%!2kQ_=@pEg5f^NG;*;>>?i1V!`_eMI{QfHw zAi&Jc9fH}Pj!6c$kB$ieEC_NQUY-He|GQ`E(qG@Vx&KS4j&2tX6!Ck3;VbL!e*KUR z#P$21LAAfv(u`!WA`JZRH)8vregW@Cj?_F5RcFsS)aBlyx z-*~2V?9=0KOkjE~ceG8QEU0Gq{a-oupdaQMie-q?+pj$(RWvMHFwJ&+t?6zeVt&5@ z0j_B|=u_~Pg}?%$SAVi6NdK=XD|sd^703gK&lg)E^M|MZ47VG`2-1(wgRs?;J0vvQ zJpa2YsBj`1zjs+d4KN^al7U^(FAHvHC|FP*Aq$aB!5%+aY@p*{QpIyLATM$M0D2Iq z=PRuR*FZ(eb4JE*n6J_K1Xj4)+gCzCAozBk0t1F~x!+MiBDN^7t*_p8{r$eppmx&4 z^Q69&;M@1Rmpgl4v`g?%Bsm2lBE%uQ%0Zky^>G%D$6CaFdInB0$}AUA=%RJXyw6SR zeRJyg&PmOUl${HiwM;L3W|o7oe&2iF`KfMlN)KW=a>CGp^#&UE;m^XeL+fb#lnn?W zdrq<}f*xtVjN&Pmtx34C7}61oL-Tfvs{PZh*ug4_HaX=7-2m2n04}x+4k(QtN1Y`m z?P^G!}YdBPv=D8Lb`*-Ol9+$>&@3^y<`)kCDg(^9)V7KXEXpcf{ywjg4*lpSH zC1}^G8Rbj8;2>^-CByCS+YK6N2FRJE}hA zH4KMc#QoKZqJ|aJO$cz*0V6+GVI90X$}mwpk8l6tVmT?AQsUh?nS&{hyMd19?y=ot z8y%;(nb0_A(%9)4RoN5@KQ=}6o&>4VYs_^XG308j(ZeUQL7g2DKk1O1g{|4Qf_vtq z4pV5K(*bAGb@Tzw`r!&GSm*jy$6!PO0AxgPEF!{^BGGq_*OTh(=fip$U(D4#Flr+; zS~0~K)CEO`yugz_l6a*}jzfB@B(#uzcWKgr!KaluQF)HCrg z`SCs>%m90oqJs-Appq1hq3-;cM)-NrL7?hOoXrm3qE zq>JJtfPwE43$Q77Ff^L2h1M~$N|^}+v^R(hE==2?BkMg%9!Bg3k`z@C8sDg~o{buE zhTcgIW<4awFbCab#YGt_kpqaVU2{&?np%6N8#kS$)Ef2RxIp-gedWpMok`}-2D`sn zPHDOx-ON9hhzQKGF_6a&d??@Q8ET2S2oeyhVc%Ho8z~V8%>pMh!5IZ|QUN2%P$k~< zIrM%c9T!6$A}T22KUqy&{72XTWE1^5e+-60BY{*?Y4fWiXA;z+-6=s?b~*P698)Ky zsxY9@_T1;!WOf0bnEuEuEFv!M{ZE)iK0E$jEb*-DYH@N2{?iHK=L6sRY4ps#L1?CA zz67%BEtN?oKKd39)BTxBiyWhTvgNh8Yf`99H|TRc=tY7BT}>)K`yUD#5XKUsA}ukE za$j+a=x`LIJ8fp>oLi73AT;oMX4BkWz^zJFi9|I5buHKAGREOF<;|ww*8(8m zy%LDJtHEbBAbePY%k%i3RJRJUQ4mT7Nm5dO{p++^a+fEjdLCJ&g=3{V`o6g|Rpe)T z4>JDYOUHHI)5VE6nHR5A1RTtzaSY1q1&^b?{yr^Cv=tq9waI_&;%)cZp%d$IHcfoS z)S$67zWQtjTz{#GJF-P7S$mzT)BrugjD^lzAira=xMj)tcC!08z3Mp)HB>%kQrsrz zw*jy#KrC=zS?pw0DA{q2v$|i?Z3d@|p1m|)VtH@}U8i;TVG|toV_K4uiee@Pk z3Ds{2o9DAdK5eBB++61Te%j=8mbr&!v>ev5cQk|UZ(dJ-_|l+_9g)QlCTvfabJWa1 z+-iftS|}QUeHCzsF$M;*dcGG=0^?)s(;q7#9Y4Y=he#LUuiTdxS9J+PD0mrIZDF%H zr_??lrPOocm>A-3of;Rb9{bSLnyRE_?pgL z)HDWw_P+qU$GJ5B{d20@uANy^%7os&#F7nry1%9CbHcgBPBgOhGYpUi@3Uj)5Py!p zGGz6!ODN?FjX$LQmDue>Iij%2ghD?OXcyN$2gbEjS93bFw^|Od?{Jc^o5u8d2zI;( zk{Vn?nA4CS+!`qK$`*~9kcD&w_Rh?*43OJ% zF}?gt%4o;nCdnO=1~Hvx+}_;5OPpuUdLw&aR{TW3w`}_y4eo z)3XUMhp6l_MdxtqeB&6nZ1czq$5UI7Ziv4!{4D?yk7j9$DW~d$hO&j|osE~eWR&M> zPu2g2P6c#2Jtn}0mSMR}f|RDlwF0mc**eQDA;*a$MebjHSynjLiV{Qwm@aq(Mx#5+ zyvTgOFfs?NvTZOErOPF#nh!J_$M)3g7}T(idY`D15?LHldKvx5)#!H?@)lTAB_vZsvY zHI36v*3zACBJvFCp4hy#uN3X#JN%b#hHDnvYG?~2hMw*4a%8tR;)R68DgHBQGjvmN zkCEzGB(H3H|@Mfl4Hfq6Ch8I;x=@a;#UKrc_^_0&d3O-TD#Hdt}y zzUtSM4s$L1bTfFIJ+u`%c#wn?zKmqpQoT`JH?q0S+&Y51w*i?C8 z<0!mo(-uEQ98svPUH15>=f?H)6DQajZ40vdIx+iC{!4$t#pW#)&mV!lF6cdyrKL+W z$k9~k^M0GJ_+=ODE$o)YVHTs$ptHY820Bx5kcNa@e3_Z-7nTOGS#1F{kkqI>0I zZtLjy%&=T_;*NY2=Krd}KY-L(NWIB1 zHtKx4W0^xm^V=t(utYOV1xq07t|X1s4qwU`k@3JntO~UFi5E)0m|D>I7-N|HaX>s! z)tI^ZvWXf}KNvc!Jyq`8YmW{g`_}DGHyGFGuCW?z> z-5{_XIZRpLe~_7uaP13j1ehss%YNosQ)$XWEV?cF*=vlD) zg8nh>_m>p?;1BRftW2W0_F)whoY|Zw*$dW8o2Q88iZ&?G17Zuo6X3ZzL^q*L$DC^_ zYx&_-=Fx_>mHgU9X*jN7?rH<(^c3Z<+jh|SAyEr(`oqpu7{a3m;LX-pPL~xGM{laYCdwg35Ur79hq*v^QgX@&s1Mpr62j`&N+t%(n!(5lAt*Dnleohf1W5vIM|?j&=?Z5#BlTCemifd>+VuXLj6@ZsY_Jm!;()&S zMq&{w8?%7%sG98P(_3#>gjLPF8E)2qNf4D0O{ifp1SspVu-HlxH{*awq%uHBB(2-$ zkHP?}3eXe{sbA~j-l++z)J;fJs-l=!ka5V~42!B>hipU`wG;%)BHggNZFph`Wz2Z@ zbrKO}_on?1w+N!yZiOQ9{{HqY)s8 zplolzR8Cs~bF;wV0j`2S8iXt3u9*0JJbiY91@1t-{Nc3zT*CdFY9al-bUn}etSu^| zgWlYmx@qX{+dRSdr9$(t%&ifO!y3HuGuK!5VsuL6jrv7^Mq24=<>8d&*aLM%0xu{> z;f1oqvyu3TW#geNjg2dAYpOXxTI;Htp?eQbuQ2=(KgU`wD5n0!SlGpxLJ(^$q?U2- z>R=SnQa3yp**DV^_iX^84@r~9HeiTisqs-aN)}f10>k0GiQ54AUDxl(+F=HjEp6X8 z@p^@;kmu1qrkE+#o3gK@Q<>(#D>)31cn1KG^YZwOjB)^Bd3y(To6n}FHcHM?%zmk)z;bouCb=h14J3GEQ_KA3fhHJx@sB6Pt)DdFK8d=EbZjqr8+HLX$2ZS zM>uxj1htrl1H#N|<3Z+qDv|s=7anKt>gtqw71PJm_m!%Qn3j$MXQQW;AFS)eAiVZp z`;dN}JoNPFrT!I^z2F@3t2pUjZb56Luyu||cF<;2Dte-+!WhC_aWlkFybdL3MMP9$ zS8@7TO{I_BHz(N8=ES8Z>Co}!4{aE zZlI08XSWTEo6P3!C|Ma+)Sf2k9jl*d_oTrRz0URGzd)aiV*Rs-9oQ2$U&d)H;GxsP z5YbEMVFJm)IqV;|oiB#aS&p#Dw8*`})_iz9NV*i3Y)psCZ8lig=E(6>#9 zE)%?kfRVswjTg2w4>deA*474u8_^;4RbD;R^I%NRvMfb~1iPb78F|vKq$?V~*oQvO z?)1}QV?h$%;w_3)iKsvg+nIoi%Bdg2!O8Hx^|i&&xzE|7gl-lQLBud5T$YwNi>k?Z7K$e$8mY znQk1l4=UGr3A9WcD41$jLaIOUYjQKW@vz3&-}5GM)G;O*fPL4jzG0M89AD1Xq0@?H z%h0uL$dx&_^H?OWG~xywT+^iD401zaSeJd`%o9{=Q%I|Ot??dBpVwk!)~A%|9Q8E& zQszCyrRQJy7vZ*LW;I_&LXUyAR_L~fKffNod7GeL9o+}+aiEC@Y2b@FTM0l>hLP8incX8E6%EmU8SW4T#PA#oG+Wc0PyblzKs(<`&je6 zotk3?MH6l_k-W+68Unw|ONooQug}2sgCg*iK*}=-K1)NOT$V1~e@8<`hh*!jCfDIy zV%a~jfqBIb{YSDf4(%AzUVCE2g+j{?ya+Tva3FXqlmEU{j3}O{(Z@$@&n|7SWkM67 zEakALYA1c{EpZ-p?43HrINV`4(Lk&JalXbbYLN=8iMmtRBDxSYOQtwC1@+Dwm?H6T ziE~Asg|f6r*{m6a%u+<$IH>jHYZ@jkQXAQiM!s9CGTt9TrkdwSij&)WRb$=J5It*P z(6{_cOfGDX9A-olq>z+Ttb$?=pHah#-;|Z{j#h#OF*9GbSKp<^v)hxu_(UqJoITA=Vr)QT6VyOo zR$faCvQ+Qto+Kfur9^v@MDu||#)992oV<@5%zxcS|@;)`DxsU^}2+q}Guzj0H!bq6f^)q1V z)v)L_CD4ILFt?Ik{J`s@T^BDvShw=)RIJw)t3$ z?Ho^x)4Ou12~Jb=>At$pod1Jmfzv3Q?J@!v=?%<3yi9z!8^t@%O?%ylsGw5Pz`a*% z0+GX)^@)rT^mByfd9XCuwDN0;*ie*d=b}0H{+2jC;Q;73xi9p^H(J^`ifK*?O)x_! zicPh;?R*sM?&_yFcxej4N(+06;JqQPTzM44VQeB+K6+r7rnKLs0d?+(LcB1mo8g4dbNGPKAA#&37@R>I&UhVTV zh2bH=mB1Q_csk+T2yydNi2KCuetgds)#7M>P%Pi_dZm#>Yj<`$GI5!|CVzHDvf`{8 z8&cVEBzb!ZA-+@Gs6GPUi;u|<3=`+BovoU*Ar_Y$>bzl^c9_DRT@5!~3FA5h| zJfI^Os>{IMfFqoN-<6-M=gt7GOkKXoXdEd+lLGNC9WaEDIMg{rN*N@Q@R%MgS#PZ- zFG_F$9q5qkM>LfAY6$ zkvOf+#YGuQ)2(rtF`4RRV^%j4!G-(ab2m^SM)0{~KFabpUP3Ul`*25Uc~hHq%7ZfRHQ3 z_mdrU<<|CM;>>q@8_#;RS3RF-LDyXUN8Wj*7W{C)YwH*u%jWYBr{NC&O*}zq3@qbt zsRGlcb;u>Ho4ZE%6bKp&=cG!R>eq_~8)>rlIWAymcJ707s=$gG!7Ztd2p7JL3F}%P zERA#Li4Tj64izlODo6YT_DEw7Yt(Ksx`i&A?J?AlreYI(Zb?~N0;}o9FI&qY_=8C< zLJ0!Oq@LPHG^`Emjxkem5SimgVQDCvdDi%IuAst)I(-S_IqF$YkPbz7o3-aO#VA=B zGjGQe`P{d7KZ6zn+?j5}0_z^W1@9UmpPgDeEm5tpOCso!S7M*c*#L$s&!*%>Q^D^F z$5`{O?Ue0wr7BH5y_kwuDfL^H+r+2STy$C5*&AoCdRNiexNk$q`qB^JT8Pu=|1t+< z`v07RGO@C;{O`%<|8PE;nE&^V5ucHrp5g!L9aMs3PyX7XRm4eRZ@(umLAX)@elBXhIQe6e))wAo~eRb>iG})7f*Iap`&T z%02Ua{Yv0Abd{Bb7IOe{p)d}`#)eV?jh?f>8ZrQY3H2Y;hk}=ofF>M*{jLZT*9>6h zOb}H40T&DdGeoD}!GJMB5+?u-#kB>%2JBB!J|I&upyvk!Q~H1`o>vZFLYE`_M;{6l zip(e;CVnYj&dXfL6i@*5?Fls2un3?na#DPq%9SqyWFbr)3WIKh4iY~+89veuct);H zIDY>@Gwk336eOUMlJ@ra7-%T&OdfJtO+W+fj(`CI0J|uVNfr*wss$!ZPkb+CB_B?# zFMz+;hc&Bk4?_n73!)CiMu+`Hn_@eqO|iH0PO5{f4y>ipUW&hF#jODJ&Fk^fHOG19kqZj zQ$PqD$~NO5+e$U=ce*kZN`KQPz)!e){0q3jB10~If4+ym@3bGLZyLTmyFZa3hCkA| zG_lZc?5twY`yHdzA9Ep_J>X~|9=5;DuW!$_2F#GcxGk^WP@5{XorR^jp*ihS(TSd@ zjZGw5f3grEAcqJjsvJTj1b@iO{TELxM(BG{tlv9k`~&j-@tdQD)2Bw`8QeeYKL`B9 z{<{Wga_ZB-{)fH@TX3Pl`f9lEKbbe0w7-~>EQMdW!oMy;9XPf&ny-gD|38DV_;6d^ zJp^(%w)j^&f0p+j{TKo4g`j7nh~%$TF#Kt>J%0WI{T*)DSI^IlP*{@lsZ2KCwimEc2g{YvKXGb!X1 z0FUJ|E2++jBpJVn>e#7bb`pIh!=Cfz)l(arlvTNTkEKF zmJyy4GOpz0j%>b>>W9s_{E%L<8Q>S?bu@&((bsF0H$GS$uc3CT1Xo%aR~`cCRYT!+ zj>VPx{0=1GyB6B3ZAo{_X&RjgVS`&uEG(_D5R9`L_eLC@6IK__anFDnZy^(C6?f0e zaVckY#|XT)iIh1(w+2_?vD+lY)zRxisEQ>inkjWU`729WHuwU6&Yed-+XOpqRuix_ zP~#1wY8;JQ5k(V)OibI$O;Qz1m}_NMDZ;ayu0TAANH63CFIHngsgy!Maa;>qvpI`j z`?|_ZKgRt>BWbz(Zw_Sv&#(pg(I!|zx7lC*WxQkBG&(~2M({)0S0iCZG{ZrYAcE`K;#v`Z~zFQpBUAy>0889)zj+rR@E-MN) zgb+i3Y2ge1dHKEz-a%46)ORip2snL>iR6QIBHSsK&xsuAuMEk!ig#7~@blNnx_uic zy_yd<`j<}G8-OTwT34UpL!a^NWPV=sV!T^jjm_kPt<-KBZ988!l`eCrfn!us8Iw6r zZ#&rre(qlVpchdD$#(H{2a$z&ED<|$v^)K^=X}&=HGp2)c)GDUJFdOv3Ps5B9oT(z zVK{V4XNc##9~47s|1%`UwqER4YQdc^avDobR39erzgizDtI1Jouf$2dbl>DWvx6PT z<{RTzK}2A^4u!BuaR(M7IB}a+TwChlX54UD#(%t5L>Uoj39r=?we68TL;m;G4wBM{ z7Eu@*PE7`1ui$wsc-!;UIsq;}=luPoqPg5r+f|F>Yd*w{G)n@5V&RmE%0*qDmx zD$T1;=X-tC7h%DakFOt3>!h?-gvA`gWsLGo<>1Mb3T)WHvw3>-U|7wVQ=!U5tnKqD z&=LY1ac~BmnS1%PeHj!OXZn8HF?DENpSL1hM-mAeq(bX%rP?^wV@`Uyd-Ay>s?uS* z#$;3Q4S>xVz^gmoyn|7)+kB{%q?!+FS|ckIUWnuDn8K*$Vu(d+TH+*`ZeYteD>7*n z`@RYym2lDE_HX>z*jJyjp*oBm+oPLKff!x!qxrNfUO}DlxMqH+n_%Lg%f>`j)|VMd z;@ZWffP7-n=}CH9$4>8EAS73SRq#YP5d4gDvh=l|9imI;cT@ZolsV>&k#p*nHeI|; z9*80mBL&TNbNff>4Cm{+Sv%~0*kXH6QfcqkEE(;$Wth)0*V3%0%W3y5*`!UsaNrU# z<88MZsrckO)jTTxJbn_)Q=|f#`bqP{iz`-JcM%2ARzDX@|on$4KRqRbv5e8)Cn&oFxtp-N-5iyA`lKsXv;jx^CLsg5e zx=w}Z9_WVt~XVVMx2__Cq*Qz#gVsL zq2*KkRba%UN?-a>iLuq44Ti*vDDS}uUizAPjN}3~%JJ&&((2|IJw~hi;9hNiv(r(1 zlC@AdaLpQo<{}~j;?OjOaC`bZhDUp4$8HDi=Tg}#wFt#(VX%qhSNs@q$5X}Iu-&7S zLlxPiHY=M+fqRP^QODjENeC;P8O zgIXMTFbTG2no4=-^+s0inn$zQLjYv1K%jzRxAeX-A;~DZ=c1^Pbqok1v#i9(qN6f2 zGe&;&Cbm_ZifaJTMGqW-{}-E8JC(pKG-mJ6Gi?7P@%BD+LnI+0GC`%SIA#;4(|f7O zHRB)fJ!@D`QC^{db`AXH$S+kS9`P+jpWM+M8tqg1=g>`G`-N;l#s<} zrQ^c@_Jx>G(XXYU)IM695j4#ZacmZbwhD@ZwV9g$1`%~)t-N8@C_#eR!anm$CFPx- zqIXEIz190hV)d;LSG0%ic?gb2-j542e+Ai1;XvrW!jLA(8Pz{Zu7te)qKEv5hkcr2 ze&_LXoDAHKbmZ|Fxt7jjB66MX)!oG`j$*VZJ4Q{_;fi~LUb>S@<&*(M zoK1Z!o=LjRYFTb+C%?_CKlAGjD!K{|hFunk)dX;xqG4Er!1UqhWH=)_+`V-*#E)37 z?wivR0W>zOLFcNdzBWMj@IFMtP8&jigZj1C7P*-D^L&r}0B-#(etV!w{WX;nUUF3J zG`|X`I&IOOJibRGkz0&i#0RUHq#d*(6XB#OX0}b-ch7zyW5mf@i0w!Llv2)rESM%w zrr}jYIA=iRRBnyANRG$gO0IiL);p-SFE18hl5J(`ws1OEzE=?pugeM;LIb{rUoeg* zuGMJPM=83Fu3s@$WobeiwkfL-8ewwn0E96o_kvyYXk+PNIm3U16huV(%UNkfkI)>5zE=~}J&T)tb;E=!8Z zVtd61h+dwTM0a+r%7C-xpTcWpy@7kR=*Qlt2`WZoB_F4ny}3pY-rMaDgt>iyqq!<- zpM}_$yd7l{2FonSp7H&$Dn`C0zPWD063YNmfPu$vObg z?QP^V>gc@f*!;_UPsVj8iU?mrhdDSenB7H_OHXu;yNESctahL062(Mji%>nDj4d#Xeq#24qq%dCIvHALN3~%- zy$DH7v82oPsV<;Rcq~n!xXA0szUcUU={H=DB4FGQ5U2e|_-1UwZSDdUpKp=rJ{Jw= zYgIHAt;bT=f4>`_&xcc&`F(C?y~neo-rU~T811M1ES%@oab>hvZ!zf7bv@D&+0l?D z@~r-)rN*1&X%|z~g6djFiBmH}!C+wro8{%5>tOJWsddi%@r995h{*Ohn}jEB+! zmoHz3svrm$Lx<ctD}*0jFAfFZ$8+@qvYs4DJ2VG2L+kiGkJ ziv-x*kh6J?F&{I*eOw*1oI}H;!U}J^mr+KD@9Pnwn@F~q#n;jQB0Qw{p86CUv5c&A zW4k}4@Bo)_E39<`Xz5~6KW=`9gJb%&h-@2Xh1|0ic+?ui)U3^%hFa)b8vYv@`=($? zo?B=&q4P^uUPYbpf2n0z{y%G3Mpg!f|0CmNz-MFpKb7r&wJZw@)Bh8MW8L9oZ@05Z zgY7leYO~d9lhwCA5o@#cKWn$ahO1+a<1F`W^=n1#DlfN4Yz>>obgf#`DghyaYaLjb z2WKYzJpCM_15#yJMI{3r0|OG{LPLLiTsV6s8bI~mYoRCrldT{ulae3`lb9f>si3K- zC@DIlAOg6UoEa6g6aYa98ylMd8=9J@nVRpX zU!?N%Gz4I(Y4E9Pt7$MHRHUZjBVuqe;-h6SqUo#YtY~X+WbJ6HDrs<|Dyiu!t*LVG z>A%_F);|sSO!oCG%^#^G=$}5&^{xyK;9msO+iQI>a?N5 zst>sip8k+8yw(gzfcv^zb4b8Hqz%j;Ipc4>g+JpQo?oPeA$kUcOw9}ch?p7b>T3h^ z-;=E5o(^DwFF$=HwXwg_UxeewI9|a?Kki~eW)`Nuup3J&Dm!B{QE`ex{j+l@dMDCk zCwdmARhqKRO{O{pUCg!B^D3^|5!n@kx>G$)RcG1*rSD zJpePcroVnn(?1R@4kjfkwXVP9te>L^zB0>8eY>j3HSwp1n{b}bM1OZvq>D`E7% zmv6SkFF$Gn18_JyPE%1?K~7XxQ9)AFf2xAAsIq&1Bx}Pf8ynNO_jXHv7bksJesD<{ z8DSZa)0>e&kaKod&8hQHd<}&ilJ=P$7(y(WD5U!<7r9tC#8m`RN`d)P6BXu#_B|-qYlw-G(0!RTZY6!9%6j#hpyjyBVt~Vlsr(!(l>VOO+J~H!yHrbgH}cX zYdtLS_22tC?O2S|z*B>f{9{A(H-Vp2RtPvWBOax+64Bf_z|_Li1jMRz}}-V2muf zAuA8sfdizR4l2r8#*2e3PZ|eZ(5QJg|1#x`QhZ6YWCW75<{}WuYj3F?Oo1&jq`J{rg`VPqCUXD#d0qN&TKoCdHjB24F2f0Zi zyk0Kzp3i*9ilg;c#T=AK#+PGjd66IByQN8f5qEXFx5qQo*I9l%OW=)x_><-Ll%s_d zMeR2%7W|$UkcC$Gnc{@|*5fOoNujkX1}>no)iwUtJJlkkTo9Y=c~@%6`SLW$$HeRD z1gzg2jVuj}K;J0O3w-=a91aRPJ9ClH1W3=`V6}p*RoP=o)*dxKxM(4q2`?!M=(RLR zjKy%4GD=5#h-Ar&*gR$G#1Mc$*J+?aL`M@hj5O*GQnEvw2_@8`kX9%NnXJqEkQ2L; zQN{Lx9l)ROFWMNxdmF$@o&M=REUfKpsiG@at|>l0)L6AkJt0Amq_DlnS?GbfYQqx! zoQ=MQZ6k2n6G7&ZBX_oWGgvJ%Z=M&y=8h`PO-g*aQFf{#p(DJcX|t<_oV%Lw9(xv} z=Q5k<2w$P5M)xFUGVB!^csCTL{uGel(Z~ViO4Yi^Iccm7r&%Od9!97emJexi<9N(| zpt}5iS>b2Tj}3043r+{={j)H@|J~Y6jZZ%xL~s$jNAs$Kg*O$Oe#{7dW4`3 zQDahs&C*${NtT9N8k=2+2k}|W4U3^O^&@G(EUXoy(co-&Qirc$j`)Z`V*R&-CHzv$5iY z@suUJWDz{V{V5xXbO_#%nG&o>7|HVf7^p=rfYJI2MvgY{_M9dnazCVfmyFv9@MZEX zcnICjJWLg0H5YlRP8I0hCYmJkC37(KVRxld(tUImYgkv4@Ng3}PLkvY$<=N|})aIz)MTo1$rOZ!VC|JP^;gHW*NwZ5@MW{fKMc`$)@9)XW~&VZsm zV1H^iw2vz&|A+Gq|3?hjEMR5XR{JQze_MAJblr{WCQg?QQBfH6jozi!0J8Q+s30hz zQgPK*t8V;-xn_|pBHZk(#Aet@xykJ$@<2kyOoZ}z3pxP>U zHjsG(-pW{=mO{f?yS8UoNZ*KC!Ydn#$?Er*Y&kx}Is+6_MvW z*q%~ZO;>-aFnX~n9)YOtBQg9FieRx+zub_9l8>jws?`^ zi!$MubOV%t^pH72G62`e{bg|(PAQJfcfn@{q;6*|Og>&AsabcGLF)O-32LJt)RIzR`NM_yHG{(u-(B;#L>D}2y zB@$`8 z_}EGldVJMOm|!e_e6~~<2pe;S7pkyCMQl6jlBat3x}r4C1q%G(gOc>^fD}^DJ^B%a zph8U?{wpVw6RuC#|A>cXf(pKhTOt@^H!;XRznRHxNZZ}QU;^3wivYTKK~el2H%mbXp2VGQFQj1%@-vEM`-RZ@CZt<1Amo zgp5rGB^HxmR-WDeUFqgBYCuo>BI($bM0xF7{FNZ-M$ZOl`8`;LN+KdgCd|`UE(P_; zobFS&d6gRL^?}&*p9nwx$DyXH@qrM5Xcedd;qo<4{atud^Mg5N`n9ViT4INTjOS*f zFKCX?#K(A~x(n5{LrDg3G0m&4O6Dr(J4QfPxH8(#xQWPF%quZ?Z03oc;Wn8ckPsf< z*KCwlA^7;{>CpXjx?91ZVk$iT-hM}))Xb3Hw7Z0xt4$DBTVesY9IkEJ-4!-oDu&8wTqqh zqiQu{K~w)iRLl%em@!^H*LrMaFFl25Avc&m4{$M}))gaXd-{QLwPdg_lO>D;sNE(Xx@AQ}+I zN_-pS7q%dr*s}Wi*R0M*YvjB=grI80_QlTYIDq@z%SJAsW=+Rds!qBQ#*ngIn8N7B z(xf4dJU1>%$V+y~&<*0IF{PaOlL70E$s%}eun$p`nXtKtFnBfTa7ZhHjyFwjYUMfN zGRbU<9>UH*bg*|WX*bFJqJB0-klF6~U6kjGl=-YU!pY~g73UI_YQr!X7~!{eK#k9t0!O0MMA4wI-xuaYaZh(IwUk$!qtb!nsql ztfjInEe!A{S9M1iBl_(BHxOh~yxd&EwPWau3Iz zEL0GkYv)e?@9v;m$|+9~S{2^YTI}|dOxDoYZeUfiiBOz1&qgv7wh@Q`mO_zR#_Cm# za1)?W$U#s`zJmj+FR7;Pyqym;!aBozqV-zE0dN|Mzq!_NvwY#a!xa#VbKY%vt_zi$ zW#15FzZI%@x_H~ErH)47eE=dM&%ceq_I)f}15!ZsY$sIl@!&`an*T&CX8A{p;GkwG z)~K}@KGzf;(NIOK0KLe9ovFMkJG^Uo?w*42iRsbRau0L0`STAqTD!1OW_RwVTeF|I zx~ac*3tIY1wRNMH=!lj0v7rfQmRmzdks)O}vu4YlhNLx!mYmoT;G8JW#I0xU4PuR+ z5a9qKIJgW_HR@cp%pl2BHN1R5bh}^C$VD%(lbzl-4fBm*(PC_WA9YH?vCXx(E_;Ph znI5Bb$T7#l`>-t?!4VodnWRuGK?3dPzK$8oIF&2ggonGCLTFCrKM0V%Mu^uR5yZzf zYt8-2hPk_26*t|+Ed8CG5~$VCrFpVmd773S8y{3Hv@{Bo9^YEgq<_qLdqlo<#9D&% zW-4S}%T265`lht+nky}zi}FEnv}Rc$P3e)oditAT|DMg`EgH#DlP(ye=VAtz2dph@ z+d>30I!&*K0@o1gl2;Nt*H6U1j8+>X&lV&w{hdTD!=O#NG(>Zc2r})&nJcA#gng0! zxSw{`A-JjSGivP*i90`r`B$@j0=>)G1ToNdnEB{-XVruSbFN#E`?;JDKL8bnc^b(# zD?c(Wc?;L0fDf^jyivW#`9H2^vi77zTTTBwL;xaR0QF2T_BQqqDsM0;(6dJD&XF`( zXYkCgZ7Mt;tMrh(?8PlleA(aOQuj<{;2j+!UNd8JqPGSgrtifs;*Mc%HFq2Gomqj^ zAW)5uUWYJG&Y!13=_|%T*#gu4eGGJD*_sP-=R0tr8RaRDP`@JJe9NU!bEI26DU|lE zR|r=wl`zGIvchkdNnnVAvA>Rdk*kGCb%BDq!RnY^LcoCI1sUza0&@##d?X|1dLZG2XG=&12WJLDqm2Wsplr(1_PMk_NNci~8?kR})h z%2pIxMBRq)w?*173}v$}-o28jE7>|0<2VGQpq4P3k4nBeabVzifk*KEv_}5hff8&L zf)3HbE;NOK>(>eB6%m}3C)A3*c+W(8mj(Kd5&d68suPE;vYOsX&N$1iVL37lml!h2 zYA)))!3@0wp`y)j6g?q^a^)!T9{p754v4)!j2+=LH;Dl{ztVT>+~~oHf10i-&$H{!Qqi>IZ=o(27go96dGQ5M|G162WxI3XaoU_o*&M>PuGzZ%*-pZdl2)GQ3c% zv`W6h*9i(sDwzYy{|3|hGRicg#~&qj98TI!jET!PFj6^pGgc9BZ;($3Qs6oKboIRy z?@J&nw3f&-MTCXCzItl;*WHO@co4yy*Iq&fPR=Zew11Z?Y+-h#)5YFuOEL^eo_uf? zk?RqXTi`eb63AYrCU)klKc>h;N+P~890Bm^(^n_k@RVPKj8A7rINilM3&L72RM%59 zPJ5VSY-c7rn{~yd+7PiByJ0<-3S^Pb+CgaDofJq}YkSe8#)i!dc8t`0W77^)06Q5! zX^7baDw3-v?SGpq0=61%h^fP!1=$a!j3RLS%i_(2jTsIqm@Ab^<W)-u>%~lfuDvbHJt6>welVaJ~C{SkbVwq&@%}8B^PuW+2|xwM`UlDR3Y@ zc9-18Qza07I?`W=qszscz%8z*VOLE; zy;8I!F4`j+s?mp~y+&KvS#C|4J_={k?2x69+pFwC-)d-xZb4pm^}38w5S!XU{=g`r z;eMk2Y&7;h4_MHQ+qGL|WA5`YPJ;>WlJm@fvr}P|(G#=Rpk`xZpn4rXjPizRnXT6? zgIXY})QK<$^g84Gxntt}%|^csLo3?zzjsxRh7J}QwspFLM#nVh?jv!B{*h1yX&WX= zhNrD3E6F1lQd{cDrCHaP{$N3v1?(;JV#-qWz@Iz1Bfa|%Pz7%l_RQ{dE9%j#_e|$N zr}mqW11HeglJK_6_?@b+l$)?LKwe2F1R6S{L2d$7aQyD1g#ggd}>V8M)9PyDn@xPSi#Xc{bQ(6SaIF8v~sKJk24kWSJ!OS+E$EDq=Vy7?k6irRtng=c*eQkbq+SWI#QB~u zlE_U$%bkE`alYDLHrklU+u(CmyaYJW;wn3%5Wx+8lS7PDLGnuB2>^QprAQ@P%%OJX zdZ9wuo7y1W8Tq%DzAmGL=1|@>66mCECg~LfJ~(*i z?q36|w_;D?mRi#2XUr)>_z5=oc%|cla%m`Kqo^1#22_h#JViCEVepxf@ zce%C69w#yQ96G%Rt__f*17a36SBx|`#ijjvE*Yte4gS!cU#8E4<8`e9KB(L6Im|v# z^+V+vAnUkL*iN7}G;u^xsDY$2pkhYQh%YoR&Gz!~Y_P)0YYQf$w_?8vmFjpD6Nx2* z?9ik;9er~J6bxU6^ztAFo z$J|l5uSMEHPU{4=lKd;Ca3J|6D`Cu5kLgEu2%B*H&HzZKNmz_<6 z2me0AlcIw1r>H056co8MTIZQfIKjnDSbH8ed+BkVVg4`htR~;1d7W3$M|Shm@*?Kk z>akbJ1GutkTlzhBBNXouW4s4t?SjvIrj4DfC>@1sQ-L8B`mF_WS6T&UuS00Co>ACUJ?r5#X$&(RJkQKig+(wrRwbxIX-0 zw4-2RqCp|O&ZB#}t|v6j_{p-;Fc%F8DlL|DQlAMy285CRlx)yrFpq{1RpNi%%XKKZ z;QpW~9Kws|XYZBey$syS>LR(5uC;fbnZ&r>bSHswZFEYI<+N_vrMn-@aESWXg>o(( zFrc;b8dFTSS`mmxbmk1Faj{4{deC~88}^+;BgxfUi<=`hT-b**-dq6+f0=MoHZCaC z_F0;5kTn_Piz(O4HkNy-j#}4LGtOJzEzTY7BaSzl;uP1%6BVAtU;{e$mL-I4)g`Dbr*`$!=m@P7T6;J5F0n_+sa`1ylk7Xlqk^;2Kvh#89;okyKAOWm>B_Ge zk_nUq3fBCcUv{1$XOj<1kHjZ!Ni@|*(^25c=vp~z!$kjTYCx6RSfbzw|1l;7AO&4{ zqq5e+=92}Giu15<7|R7hYBi0}qaeKbbVT9D$YEg$MH*yh?j^-*s?a&6R7Y$s0j09p zi$PW*q+_7gtc&|<9aVzdG5ceouMF-d5IWB2suV;DD^B`mnj)bRr;mIY2enXe`R~?@O6_<+2MRn!4AY!y z?Jci$ztoFh?ohFvLd-Qx(Ro50Pg-Dw9fDOk6y2QeezPSAH46M=91So;!O=UW*vnlU zwK1ylr1PYvn6+*~z7etk?)c-URmv(b9Mq=&FP!?Q z<-G$L98ryfCV6;E_b)>JSj;qp4uhI8upAyDVnh0dlz$V-L>rt$BRGySUP<4bFcg}S zX(^0j)UD%-c~Z*qMc5UOUJK9CWDSJl(s_bj=Ra_$;nHScv}F;|zEvoCx*3@yJEPIi z@NAQb5GQKkngBuE#J_J00#5A0I3Q5zi(hC}tQ5WdXUgSfth519RQ~@@l{&L>R;(+j#BMhUU_OIGd}2E!A3O1m7D$ zG~|+f;rRSyDe^s7az?hjRo z>awtJwC4F)|I^DW($z8eL2I4i0(_~q^E zV3eF+4g@({8Ih(Uqi~=Xa*R$0Sp2MT-=b44Nt9ydf0bZ8lW+@+?a^X9%w5*{?Z){& zTV@Gl?oL$YmelB7Hq>rQK(3z(+;S8DkfhH6$c?iDVevB+$GWvLE#7p5P~i)`y>4y# zgFsOL#-O%ahwT>I858C2P-TKL@O1>L)@=yj5f2ok7@sjU60Ys&^#w`=d%#0^fjxNP z_4&?5V}X;Xi)aZm4mK@kxd3twRgX_26P3m(U@uyt?Oyn>p(benN;Bn`!*g$;=oOa5 zr`bHGm2%6u08^+>?^V=+;*y32p88AV4*1*Ec;Vn;cr?(cF&IKfOrMmhe5{YAn<)Ncw&*7 z)^n@O;c>o$HKks=1#DsIyheUI0@#boLn?Wx$Mzht(-{sQT4j@0JtDgYEB{;mpJB&) zLoF`Kb^$vc;WjlYRMk^>DasZfrt%KT6W&KT9R!&(li+qn%->8YQ~^nQ=(Gi-+}&1 z|L4v_Qq+|_*pH#&rhS@MAcV#BxAIm{Rwer7&G{B-uVu~aVdl@dfoE*fIDQEtD?KQb ztzyC9p1H4A{&kwT-ynR%)xEV%a#eB6kW}wSwxCpp73*9}&zGU#L-8e1k?M!*YSSS{ z_hSa`HpO&*1{GI+Rg&1MA|gYTnOXF?689&KzvN!$BtYVUp*()p>_xut2~9 z@PKXUfRISNilIlGvZFkW;l%$aSNFrH%k+auFVYSSaT`p^~U zoxYVnt-K?N=eH*K48NlgP>Y#Yvt~hRF3y zY)dYmAYLtkyCr!3Ci(})R4?6} z;j!(w`90t7&OUGT36lnI)nP$$0Qz+ts!si&<8l1rcSPy;=&^FOT;*=AZx-{XF!r1K z7|Ry!=7Vj0;&4k^X@PpxQ*1nxo&WGJ?i`BnF_E|#-~2Um1~uv`INNpYWU`CFu0iia z*=0@U0Z}~SPwwE;j#fC0s26Bx{~$2+!^F>v>X{Jw7+eS`&V0MzAr6A3*5h5BG2N9P zYyvOI(>*XPZIxfY__c}rAt z*rFOQ8_2ZUEz0hTxGtMRp0c&>d-1acdqA7 z|N6Cso-fbPlS6#881M4Aq{WxVu{A)bBc&82kcY?E-Y#2H49D*LMGMSAddUe?ED}PU zH6=7Btj9y6ykdaZ{DZyUw5XE1$*0`Q2VXmf0Ge)yg34#uf#a|Vuh=ZhjA5bJ7hTgI zd_1_bA9S_7$RT*tm%;iY43!?7w9DWy{|Hq-T%DvX^Q6h3GqXC==-2TT1aX}3flMON z?ZGi2!-*j5d#tpLT2m?|A0ea_DriSi1|kh5#jbt@_huA$MncYCpbKGAu1v)bp;Lo1 z3F2XM!2B^LPPE|Pw9(FTECi7}qivlX%S3lB*%8X5m0qm;%PsGN9^ zb#`I=QV>UoCH<0lc@vNOpF5%K7nWwHX*Vs+oQ16hN>Ar+?arxltuN~7nhkviz0UR-r(+)u% zM4R2iy-K&x%6xKvlue#zKA3aFcWglLRG5l5`Tbd&oQ^ zGGd`AQ~1t1#1Po~c7<{>uKPJ3`Cep_f{*6rmzzGYK z6k~2TTu?P04{nMiD?_E2BH!%x)6dST7nhi|DII!)exqFcu~~YS_qlsJnjY{?2$|{> zCgR%qXL>g^LGk?W%7g6YhgvHVQc`u*+D_6t67Kr}s_cqSnV_D9PCJXZzXV&z#q}&; zz7**mFxCyaeiaMdsQz&1YE(`j_WJL}RyTq3Ei;^QA50ZagRW76Iy{-@8qKDZgy>Y= z)|RWSncdyYWJaePN_>GpbMDgOx-p)-uJ>Ny+25*-`b+CV*wKcLv>9V;ja%DeC29yT zUs|WwF#oEr>5!f~sS!<8Nk~xi3v;IHDw;kd8q`za*`Av7-iG@)Rt#;Y zFPbHUDa>QuN^*~OCZQ(J`KfR~N!pasTtDIY8fqL{K4{6L5&PKrvt^TRWv`evTvkU! zCQ!7TFReaZh?8rVTuEvUCc+d9`XqKOi3vH5GOC(E7Zxb?+TlfI+lq6b?1Nsa~%)YjEe1F3fbgPsx;acToom*%f??V0}D~kll zOJvX3EL8`a_eh{_%9a8latPkF!6|;Q9FNn5a{SUU5KII)f$+w0yalGTZE5nj?10;Y z_=aUGL*OIL;Bf;Tr0%kpH?CM0PSfzpSY!KDfwgzg)}A{43r5Ws8zF5Dwnb%-Te7P* zZ^D-9xF1QWn@9#DD*OIAnzp!n*{9*Wd?<*-SfTtai8L#G1QXjdO*mVX;kD3b(ELGo zaH=xbEg6cKYf~_NF20VEp3&=?T$B z3bhx-55N5S@05M)N$wuk@VJrRm=3TMvw{*{JG*GL*fIZ-?||d@_TKQGlSZcl zq}Q6;3~c#&V$)CA@+od(Em1sd6)D}*n->fn`tcY{eJzRIPb_shUHJEtz7u_C1mN+K z@)b1;24YJc@i;UUxfx$TTKGe3^Q${3BbK(9wptn=)ThA}r84g>5@>kT4el|B%| z?q*{dnGoYVJ?#EQ$W8#j5Ab#`T=TnjQw1Gah!E`7kiaV}eKh<2PVT z@tR*{ywRz7{9wo-ZNySLM24@@n^;Z5pWizH+>4=%kQ!;s=j+7k4wER_@>&b0VFa#? zQR}13fewWDnpKd|pCCIWolF8u9p_Fj+F+Z~=RejxSVf%!BQ193wZj6tOzA|M@KmA| zBUPHw8-d}o2QkSgu7a^tD6uPJ$0_D>*;^Fk0~Js-*!8j&4{0dR5#bBwmVdq_(?h9p z@{Yc$Lv!z<-n*-+;Fu;uJ;<5KW)wP8m z-ao&=U!_Ht{B$v!n%c#Oa0nky6YX{ITbQ<6qVz(~`WhQ5$hQ7?SHjKqQw0oMu(wk3 zds}7>Ra@TQ-`Sa&x;2BHe~Np2HiV{9x9IRtWrNJchlU-E%|Y|66W}FSK0HRI!yg zL5}RQhhz7^33Ir=&0i5`#MQu3Fo%l<6r-2u9S+#Ke_>bpFmc>4mk3Emsdy|*IG>G7 z%QQsBVy1xn%ANZ+<5BSffT?~1bE*Ph!Aof#UBooa)zkS9<#vO>kDHVW+PwlZIl+KF z+@N)bKcCI(voAv%a8#e>A0#xMJT0$yIma7v&~G5Cz5 zg=ok2lnYq0L5QVJ{JSBX?t(z>T_xYOF=fdpjY#pG@7#|0+k6Cv7ru_A;eTKBbL*J% z`YDfk6TT^m)l>NJ7vtk5%LQj|GZc98x3t~@;z`T=Nox-_1p`_XgZ5e3@&;$W1C3N< zAQ3h0W9v&P@l8;Rtl}I`njQa!1s?i%PKycZY9oVB#5Y?g@LC5o#2rPCfp72mFDW|- z^Oz$ohUF~=E?YR_Ga)HT5k%O7R&8k@2kHJYB{sy-=^YEoD;>x|s)l&z_{6~eP4!FO zh)$2mK5(weZ#a|Tl{Y2yPyvWq zMiV3gu^%v~W;9RMsc8y7ZWLRS^NmUXzK2we8zGEK7|(W^6|K6Xbi#prKjR-SJk&>8?A8e1jWS5% zX8*`?krnJe!zqs|MR1K7T|vgPOTSM-EGwe$;iJxlm|}isgEw(iJFF1sv1gTshnKrT z5AlAfW&DtE)uDwm4|;X0Up>8p7r}e#+DrQj3u*>WB48GETv@&gS04Vx|LKKmvwT`6 zYQ|PXIF}OBQF-eybmWcxqwL}93dWo0jElW_mA4E%=uRURr3nn3*4qG`55hRK-dJ>P zmDaeKBU8;CM%6>_`S?evL;g(+xm=EU2ia}?*Gi!VIztD55TawWlRv7(RLg0X z`*2{yoliOzoQgLbBSZbbYS5Ymlo?*AR3V%&uGPyl;LKTMUpuhbc-T`3HcM7w7Yb*G zyzHPL!-8}Xw=w_5un@j|IyH$AUSM;3ve92<-9piALjAhg>ov2sC(~Vx45`6=Dw(^3pQD?nmtW|mfefo1)93#f6ibJ z2gLDOgOiL(xc@)@P2ce^{ShQx!}jCSZ0}(_DBOBnhGUwon&jp31jq-Nj9}V*Q&7IY zSH8c>pOTtfKl`z;45?d+fkmK`32ZFfsL$1m(A@?m!}>Yo!+<%@s47*$rgl??;@j={ zOR)egX{JH=g7b#qi}gua@L{5lOoxSzKL5P-W|X3idsoWD)zpy=F?`f8o{oZPKuu1e zYPmM7t3P5wv<@!tD1A};YO%{&g-FS3&Z~%xcSR&cIkX<>vN-Ke1;f658i=wd_&N?z z{YC&?{Ad6hSx%pJujYyPo|NGnNYsLP3dJGM+{dw1S2aU_mj5~N{-(Y~ozSk1>hfy; z*~T?gOngSb<>2a05Rq<7mY(Y;V%$Y=5RnO1(N*7vnWZK6J%^@auaCLX|A-yT9Y*CmwNPB4`?reHPGu9;W6VFJya6p_azM#2f zc+vveyX2rlE7Z*1nb&r5uIMW=FT7Tek`K|CCm+n^R`U9*@k>@{f{_?;MAm?fqgW6glpC4zNm_W&(tE45_ zT|!sZfMnE9vqw$Q$^l0wqdHL$=%Ayoi2*-uab7^ol9nV2Gx}u7`|+mI1D{wf*X- zzHBhNt{ZN%Q_}tE^hJmVyiYIf$Ch}nKi%fVQXxzv86oQ2a$(etupOA9cM=T9@uy-q zNC80W)))w6*yK zkWNGI3v5r%+kQSXC({|(lSmBX(X22hF^Q?S#>k*ffwcuezF}!});*`aNyV>QW53xz z>Wpy8_n-Wk0rU4d!}1TRhc#(=Z8qOFV8Z?Le_55PVd#VQlu^TS$*e%S$TRK`KP$hS zWb*KbO3>coDG%xeCn$*VH4ZEwltbovQsO2_Xf1MF{bp@cGzr}q=OeOSae}C?&)OiXM=1^Oxfx zR%qzpGUhL0-oz4nRl?-h&1H|_$NC~fO63G@g+OtAC)3ir=Z|n?y~@bB%G?E zlyun>ehc)Rk*B7N4Vx`dyjqn#OpkM@(e47pTmiK<4m@jm04{_PE2lRkc%F<81kW-H;HS-hT7@3F_!+JgA=~f(ew2 zcF$%UjYQ^lRyD2=*n-N{b1~1lh#JeOuJOdk;PkixW>VJu_m*^#BeFnFlc``!Pw^aR z?or;~u1}AISE;|&7v(6By%NoM`ZK&`$~LN7%zS6Qf<-c|Ia^3GZ>Sl`b1VlB1kwoRMC zb#wvN+PMBzgAUI;YTKBU0e&(9Wj0Mb&qpj9W6*o&a{Q30{CB>kcnyq#8x|jvm8R|O zF4dc5)o966DC_p^#ul?@9Z76AyAPrwds*wbJce%yqPA$H8xb>!81jK}rKP3x{>Yt~ zy-A}x?C2wDvn0Rgs8n}0tC3tW;nMIZ9IkH*8TRi8PGEd{4z8PA+J(<9Y?>(wErz_gp1#)@eI2fvr7G(R1QFA(_SO5McSo7+i0c;mHuB@7} z$vH&xbEm>bAdiizq@@le_N33E#grl_HHwq$(*04}}pAgc6%FIOQVTNcr} z)J_b|1lMhT|EV*0wZXx$vrUc6a87bW3O!(^+D0B>^U*i-yU#2xD&PvUaxBKYO9IwC zL^MT{GLwL#Tcv+5j!!BR4f~Yz?WM`=bQH*q8t?_qUyD324xQ|WIXv+X zlNN~vYG#0~%p+#@r7dPy{;jy_moihTx%8oxc}lDMsn`SY?0U=V>Y3US zPYhPVyT_*;a6t%0`{I|s)~{~CAE2AgZXz-U*#~^X5N2EjkYa!D@YVe(RgmK!t1_(? zFRFsCgjnK0zQzfkxe4`|nm4LVW)5kw0xx1wq+$ml8v6iHqm@TA9n4mOXdCjh^l*bo z+yuH@y~9&Y(ac&9?F(J0n#=+GtX}+i&^(hz1aoHMkl1!17ZV1eWHh?L^pMgZf|z7! z3O#Tb!Zc2I_g|!%uH1+8dyjMHSekoI--OgVs&A6FoAfA4PBCCtDHQaW34h03&3rtR zV*X4Wm87#Z98wm9D_$|$`13Okv)oO zl$gEIvCvT<^yqbZzfdBD;zR_JK|1E`$HUzPv}wDj!%D3UckQC&Kpy3;%BwH75vBS* zkQZcke(fu=XhnI8j+$+fukC3Z>s34N6vCPq@%<@h6 zW4?o@P%f4x9I?lDBDV4~K7_(kj|%FtW;rWh^0Pa*#(OiV0N3u1ERl;Mj7#HTtQQZ| zz|e0hHwm$4s?C+z)5z|VA<}Xy5yI%1{XsBIa2p(2zK}17<^=nVt5JONEBu! zRIQ4cX2~P@5`Qsz&eX2b4i^3pjj+q>boO;$_3;77$IXDTdk{SXAx)K`;!d9=T~RMA zK4;^iOg%KJ!;(Szv6EpY&bij2Pfn34&f)t_e11)Kf#&1Bny_7C<`-O0|78E{zQi$6 zbVZ3+xh?5499jCLyvuF(P$3CF`sr=``1qy|ABQ##Pqzo{C8d7izG0o|26}>YAu!vu zF(409ZWkx_eGmC0zpiTprcU4Ovv3My1GcwqNa#=aEe5zwF3KL8bg>v-gPCS@Rpg8hS(4WoWqA!lsqBK&02G0BEa55r?={mYh!8?=v#u*wwQ-O?_B3%IesF~MZMzlpx{rns3%~rH(yl>k6tuMCG1n;6nkKk-MDzE&z0Tx z{tgmTtgi>-iKbJT z{QZf+|7$eQ%TGN`KxhaZ&2JniMfr1w46+;0(5vW3)Kev1M*Rlv>6HRZE`1b6=8|fk zOK*x^I&?HphHm#C;0?I|UB!uWB#f(Qcn;7XMFn~=SCex(WYW<+cYWu+9??^s2YU!O zNK>@8_Jw)X8QH1P!p()b-j>eLmNEY8=oujoWQq%uR0eQ%_=`Tr5m??R0UP3}49->c z|45kGaAM{e${;LanN|PnMf=U_Im-&kSn&#oRqE&aJNZtp=hwe9J1PPAT!2CDO=&B`MKH7TAezTX$C{02i z$EPiBX$GHjy4h=qnz~cn_$@|8FPPiCUPG|j@GSQwO_tuLvJmtm$6@rf!dn(`nO>u=D@}~1s@S!F9NaO!jREgs0b#ogHm|D8J^o4B`8N+x+2Q{)@WJg>g z=anD;Hq;Z%OQ}7kzA{I@2&Ceqr5FBhoK;C6(zQhmw_7&6$S}+ppy6)_ z)hk_O+CPTS%A)6v#XBfS;IFmUOaDUW$avaV0w(&|7k8v5fe`i+B2|HjKTEWmFZ?b}xSb;b zdolC=$)aGD5I+=1d*e=?^%?s(RcfDi=2(C4pTOo`vijS4CGbjB?saeo%27Xzhpyut zNj<0iOk44%bql{M2lI3)>-^Bk9qP<;@*a#ek)z`|7ogcu{I15%j$vThS;}k$gU4!;Q$cf2XCFV> z{l2mshhQ*TOFX#O@gFI7>Vm-Bw;Z2PV6qH7ku61uFoD%3nH=hp9GndV=m$Pbl9yEPn-vQ+{2=; zrf5Jy7AGm!Ov)|oB;v7JvN3ptG~q)BTWra0Ah;+q!p0*Fx`}~>N&hFf;7@tXN%bD z2BHo(_HnD=y6_(<*bdHiOj*M3@Czkdw@}0-zmgUZ56z6)HWj;-4ZJz(^Bd_>ldiW9 zMTrdkISdAk-6gx%5rb1|I@4ZYh~Ya~d9QD&k=L%fcv^aK-wRBhCqJW|x+DF;E>^~M zanpmTnCl8)8k9v_EPfK(;0~JVsD*mWV;-3-_3zcP5iSUs7!T%*elyXW^kIyGa;gG90=PQEg+MB{tBx)Xf*(vp%R^{!r zI!T(%gBt+(aE`I;vsf8K$H{c)f3SP!wtLCMVY?15ZIULZJSzuTn2aPkGkU|%2B{oH zL{)Au<&ER6ZEy)0IEvj%+@%Adw+$HM?yNobMt4ejoOITuv_iYZQ2}q7#`XBHCtuSm z(}@Q#ff-!5sJ{=@K>~Pu4Jb2DqQ(gxUx3_0-P^>S@0wPq~R!=ISjp^e9%XOkI!v zQ-KVpla9HaGDoomnTG6N^r#0jcD2D!k`qq4RaRK7P#L1AO;_BX1TLcecL0B{jPxPQZi*39Rmw7+ZLY>aQWuBfjo*eUmx(4++a0&d^(8b~W z{R)jnZgA>a&RDcjJbh1E43}V)p7_)EStudLd3$Dd)@E6nVqzH2f#+)|#V5lkxHrM5 zi_OK!AA3`)G}GIQQ-+pi{em{*b`Hul_hG5@h1>F90`ZA0#nMps`47al%>X!)n8chg z{`-jzd5LAS0U*>M$9Q}m(juR||(YkX>(J(lr*ql)lc_h+zN!TOwaq$_lP zB&iz@+GNd?sN1Y-boR7j4*7hzmShw#NjR|x_ZSEZSK%^QoJ_ifbJk*~^MH{8jk;{! zsD6_4L*bM*0vg>32N0u(=s*}v-cG?HtoaNunBMpmY`$(q7#hQjYutT1zdK|d3LW6} zQ~n)B8Otyax&8b-5n<+5H!AebT4unrp*;b!->W#^>7Rr_wYL75JI=Fw>zHbx$@(j( z#9Wk-k}^}7|G6SujLUrRH32jr@vAz>xmk$1vzfrhPH0f}7+8lmnoMp-ijO z?K7D2U=*ZEFyTl4n_>7N{7-P00g)#Tg1RTL%>Iq^&c*xkU_BnzhJ`soL%b)#)t<)w@6=^{J>vGeX=v1CA|i=W9ZMMcFSN5AZ4`IN`6Rp z#w;jaw3cRC>nGOTI62(*y;VgJ0WXq>v?_}^J;?9G7yYpv5XuUwIa5#FZ9&eRwvy0E zTC;{yaZT;F#f=X&)7Yde3JAp8or+^jFYuY0?D0Y_srz@`L(bE`4%iqWpbh^2yb<{R z!5HxTC8Pl|#esZ@XZw(_!-*P`O^q)6$9UKSV8kB^G`iFotR#l0$IO_p`-O+i8}31# zsMEVnl$_J`8GKeOKJo70lUk8T4Fi5R>$rd>+d{I%PH#e4vlpMgr>y{}c+Rzz9V+`K z@D?knntHc+yyRFPcd`I>IqOo4lSQD9v(Q=IF$7=PDXUU0PkUWf00L#TNufQ`^_XA3iD;F2w+HO3!xTDcRm#j9i@p z73C!3RECQb8fn6R(&V=RV4Q`O4YlIyTQZaP>jH!~=C)q&EPDBPyI4F}se|tcm@VPl zT6;U-MW}Poa5ZPX=}`0@+IzFQF>om{;?!ZKzFnUV06C3hQ;sc^$MU$zMA|^A%9UDg z1GS3dW*~7;PZB6-cb>GZe*fJC)aq8DuJ+)Ph4my$*)Uo5D(eupX>0d>EzhDdn|MVQ zSuQrvph|x%`L3!3mV{$D-%tkCYwP2@c@^0nmR7&U4An!)V}Q(G(JmE00#4i(q0cEM z#8E3cAL)co!@QOH2F5SNuM%t9&MnZ7qUWCWL-Yib$#t$l&(yDLBqK?t0!2}#7TEfAj*X#ZU2it6h`{?5;fbN&a|2-CEU1`^dQ~ci+^g`lVS2VU&X~5e;UkAS`Fj?0LiumOKo3Ds~VL`vWBgx`(=0 zI{InrV2Ns*k34I=cN?cohBmTH0Q!+wF=T3au#Y;P?koto<4}M{l%vZGC_YgVhShJk1Xm>XhXa;;9PStIe7BXm3}v*hLe%JyYX?JP3xP#q_G= z7Ot3dG%Iq@Kl6q@$o}VOk+#I!H+Gy-C5cQI2YVcxt3kwUh!a3}dGsY+i(wt{^z~j? zsqbwWEF()boiDRsWX8?UI!nXG~4W(a=iC#E9`Nh$u>0y^#-+ z;HY;Wi+Uhbnfo~(v~+-u7!!C7_)WF5yn`aDkjFggD4>c+`;$~FYlc0BU4}HJCr$lT z1a)mNo7313l5LApR|#wQsvZzXEAyl+HuKMIw~)pan_1DrvhF0S*%RY$(P9YXvl`-G zwaGyYEyto0Wl`QLrw}~sb{M^kYJ3^fw?%lDb6`J%r(PtT>mP=j6q5)5jXBM-9UGe#9O}% zCG(i#58ceH{>{t;xD#^^bC-C(0w6meT6O5V!~bhNR({ih60uc}Z56;d%B>n%!*W79 zLT>!1hB=FWxz22?W(wltRlrvwsmbRXQrHQ0GlOkpnL+CKYcunUiAqg_o-Jf#oTP>n zFjP%Q{WvsgD3T$eIA!RTbRre5WLt~z&%I)>H_PNh;9=XE!IsS`5LTL@O|=hJ??yl? z`=q_L9^_vrgqcKm^3I%Jot?z*g1}7|tdikHL=u_tcz(<;JN1j^r71qXbE03uQkKlIdj2DAAcCk|IBU8Uq3ZyzRVr8!|jsy0MwO4)K(cWVo z2}&Df!8-e5ayC6G`ork^g;K0(yR~u5bEp5`c+z{LD z;nnCL^OUdqU>^<;1E{_acVvc?&|D8rX2S`^r-VPrCgkLt4@zH^Ncoo?J|-Ilq91ax z0{j@Mi7epwY$wN`YRPLi z3R56Q-YpRM$4B|?h?hTfGN#v;7$l>CV1Q_>Yk)8tG!R9XjWnsP&>$L9_K@kvcsF^v z@cXj>^aom1Ay6zepa8svH5(gAdQv&bY33vbVN4A&&x8fV{0T~eLDi>ML@$pKdsq9w zpqCG{KTyB>Fay9nU>ziM4hI@1;V<|P$zC=#_aX}$R-IsCc0tP8mr=@BA%IX|W7yAo z0oJDdwfdL>oqkfo`Qxtx7~zFcVzF<0y06dU@l|qAvGO5*&TyEuKqYp|-)aSmB)Cy2 z=>oF$v#4I!`thFhpaCC``+R8{b<-^^$y9l5G2o1gpm_F)MaRaF$!6M}vE9`(e)^X$ zKm!cV%^}Tm8Y&z1z~-+^$>TLvC<1Jdo38&Nnnm~hbSL4}RTmEm;kXqfky%6TO=CKM z&U@SXewTz^&yMr9qtQG=2zLFS$U{43!?D~PXTL{7D*WQIZPeiyChTn+@YC1!kRY~s zycnmXy)YO*_im7a9da&NtOR}HFG!X3P4@x6xb6b1@fAO3&w}j?w9r?803B9;0nb_a z=ibw-=gj9`F{63s3Vz*oEe2;d;3;u@Uzk@xQ)_nYY+B?;$&$pGlZ{%h-r4Cl_J1U} z7$8d6Oq}aGR)C*wps;&b<(<8(fE>%wJo2EkOyeENvd%=8jI-UfAk<(B((m>oFwfBJ zOv%{hPCUd(A`w^*cL_I~1s+^ji(7H6Udi~^54U=>EG}_}9-69%5h9)J_#Ff7K^4Z{ z7$b-)bCEbevg|I(iK-sfyNE%&BHTthbv_m73S$lr+P56haBcr(CMq&*cJnTG2V{XS z_sY~UwYkYUEf_qtNnpxTnz~D6AKZ6R1u8eOY^dP6yTb)`N}EPQSbmRQ)bS<$SW~nr zz89gAUM{162IuV$2i{X9i#DngOA@y=4niaOSRkTdx`MV#Xu{>6Px9=?DN*}Lx zYYT7gvB!CWtGMoAK(R&kC&dD(Y=K>VJj!69tIN5EzTd%S7-DwmT8B0~Ta zTrBnc2=4jXKG9{Adqkfm*kOKI@Jz<;JK<~^2nx(|TkJqk?!Kg8Or_O-=p@8zlR=xB zXtn5mM*o78<&^`bT+s?Ne!?==Mny)gN)wem7s%#u%|5JyI8 z18*1MdldQG(KYu!&p?k6nc*bQ!9FpX0a2n_6*Nwh{)gkV*P->+UKwQH5r%;qwHdko zk9PG11{aQ`!H*_&XiqmdgsS%Hf;diV5Mw} z#cYX{2WV5bj`zUSE}jte(a+Jfcg>{UMWf+6C$i!<+t0-W!%Q}tqu2fC8*}A2>upa+ zu@k_~Bi#suJMzH3evI(IDe>{VtlF=&U6)rrsyJq$9XkTJg*raWnkE%+K(mR0o-Rr6 zLdR#Mk1(zT$LkIo<83PZ#HC#L8_R$((vj8m;J~LGJxB7Sl)=1m>RIXxbrAw>wqNi& zAm?3KyT3BQtjEDMNoqm+!U@5~fMeRQ=y*z7E8HaXY>C|mDv`d0{~T@d##TZ;{R`y5 zSULh~(F~Tco=a;6s`fO$;_#}lKnC>rUb?4$qDlAoHIyhhbK_MQ|4Nm*@pCko0rx~D zb#*#z#<~tQe7-p@`Mq+RF?htIALP-l(kw2niIg$CN+fFA=3_HtL@E7{e)+ahw<%Rn z=A(ovkPCJ37j5IO_gNOM$wf#9_TrCT2pm)(4QG~6B1jLiT8+`4GrN=kzdU?u$$7!7 zYt;4`^*wfKtOplv3d2ZOgluoPPEHM6UKyiKs+JD#=rlga6_7FEv`gXxe=^gn<69lA zZP-J=fRCrx-)0_G;-oZaDNVh-5l7m)>K!)bel%il5>5<`*;mXX>A*aH%g9v5fB7g} z0v)7w)s-rqxxfSmgX!$aS>OD?qR~K8+$P1HZ#LO;TaEglsdc%sKfc`XogpN=F$!h! z^MF_{yphBISf{oMAuEFo2t^Qwt03u;UgGP~{Eq(w$*6Htl-z4%>{inp*u*ZLS!T=Z_R%ZT@ zTO3h_fCe8TY(r{(M+ut6MfXIQ^XV*tfrfAVq>kY?<8#!sALZ8v|jn(~+C@rucD>ej(rgX{D<@IPlm@q|hNLiE477E|<`OU{$`ONvxlFs-y z!fYlVr2$L;%wtXZgyGXX^EPy79N&M=RVc?37w!0lZlBr$@N(0DH~|dNCfBv69Mv>8 zfyDJdp`~j}I6rtCq4;L(hNiXZEhU)i3xH!hDUv^|(pl~=R!Wh~H0|hJL4x<#n(3@q zj)R-tdf4alC*6}kEvpJ-e<6A%0sFDkGt7H$0S!R|LAUHpWmdnPE*t7D%7mkPULd>e z{hQ&N*oO?UeAnEQ$4>t`?`z$X^_`J1GlTi5M_IiaQr0+=LoV?8k0R^RG;5l-As_yy z<8N&A%Ylkrv;ks51*NAJ+Y|iS^lAKL9PBF1#|Sn;JXI}}M&;8AezYdUN5e8tMo!Wl zL^!`HT}39sKP6)7E+}MI&o4lg2*)oQDh@z9)W#=%PtU3Ak4?8v@lFA*-KwAW#$&8k z@Z3L8z1YjIogL33&Sy459~jW@*k8;aLHawk6}cVzc3t3Xq&vJzzVA4pPLo)>C(xzd>F7An}rH`c-YkmiUISfRMh zh0+ndU|%o)hBH90H!Az#L2$SKHrs1^-_G0OR&h$trUbn_cS=AM_m<$>nD;S4 z_Ods7XR^%28gis>Qi6bCLb~dU$v@oSFm&bw6kY@TyA4Lz799PA(H+H-!CwK5l)8uC z6*j(khA$u1T2=;W`uFsa(wZKK8C`0l`w)rq$50wuvSiNN{@Au^++Nxri1Jk%p-?bG zOBy=yOf2cmrd%u+ASS-NednSMD5-p0f8_cIDkQzcV9ps_G6IkbH1$K3+sQyT7N|^U zu8c4E%b0pisB>_Z?s?aLwqMHRVY&SapA1Q-A9{2E7o;46%*9u+wWTNJw*XeBuC}{m zQ$yPZrWTFx!s=a*l%gB{Of4aHxAewOC@5F z092P>Xssgh8$3FKier+y8oH3?I3Fk#lX5g;cl78k*tZ@WXfRU(j zOH0!Gp-*lNsK4p+*e#GYk6Q`hp{M8$);1W~lbi|TsB$V0pWEm6qfqca?}5)-MrI5a z`Gcj3q?nR>E*sPqI1wK6J>QeU-ajlL11dhv2-;PLE;LI@Y(VF?L<8IT6h=|Q8_0*S z)r14TJR4wdC`pS`~YhBv*Lzgc?_u^}&E@@P8>PfjBti|GN1PLDP zma)Y+3K5E=7?U(RfQO*T-YlnAu28FQiTV7&cDxlXS1*E0{c&M>y<&yb zWr*rs7@E$Ak~_n6i~p`j0E9 z+cDee$P=QWRUv!JmlVR9MxG;Nhjd`E)lm&jK`bMO;-5vb!B;akn%^tdmmCk6WsATQ zs1|ZQv%Gb+{)W2E5I7oi;9_af$aM>tM?`XfSb~iBoCti_MBs0Gcd6flUZ7{4FR%s7 zX~A63zUfLW==NYGQa}F1K(R(i;_J!^tR2Zes=aLMR4G6Li(@AzI4Z)X78va+bg1&b zE_7X#j*z@dLBTSdG0SxIZ;nf53J_I`SsCZeDanT3`izQl3vw{LyGU7f#nXJz%J&1u zNV{4>l;O8S>0=Dxjo=S&%?%1JmF$eWYOnQ(wn$f2{NXVy4V+__p)cUnSk`|`rnz~e zvE;9Hh1F4@-?lwZt<}n#lGqCfcFxJ4qK>q7E5JZh47gw@-YJy!+i=n42n3GFS%%=3 z-Iqn7nMgOWF;}D+t#&_LPge)JAMEu@)i&hx@38%{0&r=F)g)3NN^_)!5Wr&nc6C%u z79ie)|1LsuS%ZDIWuyx4NQA>W5L4#kRNeqZ7bcF{@2WrO3lqCwVWvkM*ZCjPbP209@+qP}n zwr$(Co%vr6{;Yeg9>zRI5$EikHNx_b#OqomuyZVzJ6`xmeBTbr`l6 zzcrdWIh0&+;|FD-^nyK`)WcE^c5Uok`SgeC8)#vwif~J}Db3f$21bwy#}EOPWEh?& z{Z{}L;x0@&oYQ&zB2U)5u?4^D01c0^GJj(?dR>K{P<1CTDu@EFA(_<}={KVQZX4J; zui5^AV#D^WOE7-5)ovF6tesj}=Dw5QJxN}d7;>Wd`KC+jOC2ex#r%(Y*)l;@d~NRO zXsA`^OY+_&Br0%o=#d_KTDpFW1MjN)Of4m*e^@12^5pE^#Elu4bJn=RfAZo&H@nto6{Q=_!4OeKss!*Cm)Uc?JHKCY7CKJkI0Hh-0SYQhTnN9&-d?we1#hw8#?u$G5pqr8WDeU&Y-i zMJ8cvM-1W>Y~)VrBl~cXH?Fm^7ks~Wh~RvighHL4xuPW?e}JS69=qddP~aAeWAE1r z`lTS>q-sNDF2| zqfVDewM24obGfm)eqc3C0pj9QBt6BQA_Bv#cPfZK`bPAjSRoc#>zyQ}5 z3{o1#hfbE@>gJ#HNTWj`3QbwfnML+K|J%3YtHbXZ4`q(N$5>fZEj;8C8}=r82>K4{ z=2i?>$sgY-bpE1^BkK4|VYz>-3PwMLqln*_W8Bwkwhf7ufEhebNXd24U}vD zj3rys&VJkX-lWjoWQtiLG)b{LcklPGhL|0ZJK6XvCv{R(6~0dKK#WSSA6t4_ak;+y zr&YW{io-C&iBpHBZN^L~`Im4ZakHsM(L;$1ejNiadPABx0E5}o&0XZVJauoGNIpV@ zE_iUxAmN0Szp840pubu}Pj^qPeqOrY{bo^_a&d08#R$uTIj-%*Ov#u1e=ci@(_)B7 z602{He?Y@2h@*Y^SgF=vaIJ3fcdxBVV>G_{?!F*Y-I2teAR=%38%=<3ZZUO9c>mxr zzx?#4@k?NADY(EqLXM~v7_O(RFY2NWxIF-ww;_#&<_scv?5SIrV}TJEMUa@Yoft80 zj#9K5VrdB^wM{d8sBldfH#jIzzhGzhgvi)O#9@PE15zz%~@@$@WcJgpl zfEie!alnU=mrhq;J3BMGo(w&6RL?Y=&qK1U9?rL);J=GpnB4k zzK-%gaA}!&nu3wy{^K4OT_2g)kR9EH+e*`oGlv557S~7|ml(+o^k2rwrKLb*h9A!l zYz~D0isf%z-Ji7f_IAXvzeFxCcrgTy(58QqGaA5HX=%56Nqp1)MDhHTzu!3lrEdaJ z@aky!ueiLh@oS#OBK#VPq7oqNS^Wh`^RM#%g9s{2OX&{zCpoAKiyz1g+KHtBjG_ZW zGf?VJ0|9bgHF6x5p2;ah-OuP>Jp)rqsE%ciT{Iarmcm5KP`?VLwS3iovXI=jx&_uRGU+n$kH8y?q17>t<_NuS{nEwe;Vs?6T zWpn`1;0oqtq>O_43oc^{O?=wxz~#@o^oOevUQ&?@Iki{fL-Q5!MDWrIq`?`89e6wY zcfuG3BrPE8sydpR*TEO0(G}zyc5oQd$nu9C#OaS{UVD6DIqTf`Iq{U}Rd2^*E$83g zVh>_ZPs`Ze?(3hH4_O!jQ}VoKOkg19Nl_W()7Y&O0!@&SUK8Pol_|KssVDgM^2l#K z=NkUeUTmS~)hRh&KL)1e#^#qlX+YBm7{}LHdL3Q&0X=+qkp~(NB{7qM8(tY8P5JO`s+)Jg`W94IXnhtbbbHp z@Zo9+yT>;NwW*%@(_x$d~;q?;rdBAgW*gD1YIG zzG@q@;v0#_aPuDJ{~2l;POHI zd_MRpea}AbGQ)#(081mJpkGP31=9AGmU5^bn!v|IUOc%l3&Mr0p|6&s9lfh=IKO+t z?;g-GdzC}!m*pP0Ti&PfHTZ5Pm#kyojMSH0N&L+@M*4`8e?7{tRcx|fxB+FlKqoH6 zwG?vCo*lOVm^(6*-+tq%Dy-0Z_!DMW89E1X^_ISnJ5E22emI!M9#|%5U`KApsKAHF zXZt!y#k<-0imvl9v9QlMLvA-p@@Jw#%g$H^U1oX-B^+JppSdZTK7f7yM?QluVLLFW zrR}B}K(O7I`w*O|GRPjG&#sSc0VM9fdMO`oH%DtVc;x9M)lF;1mnBFp_e(_w0V^r` z{&FL#X>Y+NAf1snx7~c6fti-o#eZ`JQOc0Hj98eNuRL6sR6so1Ooa(De9X%68E>s0 zh;YBFuO<4Tf-GTtHca+HVEnE{g1Brw;RHNFggWE`%)jrnIv_AaSVPn)muQXyJHK#f zRd!p>0{#h{qrdP(in4`z4kun17_PaUaT&pZMa{w5dI3F$nMe(%Fv8#1?cR&&i3-{DO2*9_1PzTZyCqlzVIJO|3*2mtNd*1D7K-Of`rtWbdHy84 z#}R~Y5u%NLY{ba~GW$!+aXMRJktga0?dt))?>F$zG{7LVJU!Y2RFu6S%9i|71?IX7 zFujB0133Eke2n%(mxlY-P8$=kq7)`5V=>Wy{k{pnJOR)l5LfwDbo+j8yIoPdUGzx6 zlm1>7=(0~~bUi33$aO2koLDM`fpIp)SxT_g&$;mkP{C|_(91q#%8uEXire$F?i>M4 zIkke%`FGp*w9{m0bAa8&d{DtQ%}$E&J=!vXAq))$Vz~%UPfTkDfZ3Vq2*JEooD{Y8 zLD^o~ref8q$*rHO^yL0qzev#&@1qw}ymsq-IFFQbOs$)MI?Pv0@vhe;AFqaJ4gGtGn+BEji{?eu zmVNCZl9ys+9tL+=IipB>1UR_-l%dy2<()C{FPG)+-hU>^&GDc@KJu&xZhSJj&%rea z=l^$=@EgqKWO_t6V!bANXbc$M&IoCtat#-+OQGPvV{&{H(Xi^ki|j~Yr>Ntb^J7k; zA^){b*>UFO0R2=?S!rjjLm zJ!^~WQB_68U#6Oi-WxxwQ#gWmNyDLh;1V1S@l9;W`u-mR$2mt$-t!T+7k#u;GOMHP z`vsi(&Z)}b4Z6G9U-`PlOfoG zX6|)+f%{qwjcrJ^q!w`5y{(ZtM=u1y;q8=aK21g~f33N*4>EFYEMr9C&Qp8ab+h*!ndtUmA zdIevB=YykYk|zz^$|+YaQ{J54z*mfL(vKF)L)dE&6|p7D5dAyqetu>Et|)+J<;C6L zws(#dU>L^q`G5z6L&L)JsZLA&GrVDDN3Xs`Zo+0E2lXJi=;mhr3_`{o&WUrrAb3&+ zhbM%rd}YbVi8Wu82X_;&X3j-K{vSCeq7*5sH2v5X9xQDhCbuF)p0g{W!09d5Gj-Vg zNE>A{nPYW=mN?=$CzBt=tDSb9W>NxPm}LLsaa#!6h+&D-=IRfsaN)*1OMC5U%C^o0 z@9@|Wa#Gz=gljk`369#6P5aD{(zv0Mt1FUeEvm#=%-hB5pQMSkp~WMKeW~01dnN&= z{`>i(yL?koMgIo1Ok2@KORN3y48ZzTzx{sQen;r|h}DQ}~3X97^wGPs_G>TuQf z@ysuzN4%S&u&gPz4=rdG*U#~awDf=t(Ol0DI3R1k3KiXS(<~lUvos$YWUd~&vILlx zsduwbhim4oND0_i+4mqqti2}NZU*d?rf_#P$B@&mEjWf}tXc!^t5vBD?Gvj0O;db6 zf-^F+!lN_E;+j&P6RcLJEp)_qCkA#}WPh59xg#wFEL(FZJx@SXc#h^5jkjO=dbfPn zyo-uug>YV|o;lPO{MnYxc$g{VwO+bfW|>G4i>v9{sbn&rU0)W5)}JaRhnA+cVEGwTYYvSg7I z57!ttz^m^!<}ywrIf~hM8Zm>ObZ~uO;3lCtj+3&m8B{{qpd>P9QZ!n*WuypKF_`mh zvMydqsnDv6`foRIOD~Q6Z!g)sx+W3=bA;ne>DMJH17;axpvEN*ADisWd%eI9tOpWQ z#o&m{*q+VKc&70{>FErto9PlAaaTJ~vaCT2P3G1?;2EYdSd1aY%}V@KLn5$zdEb`) zaT?#46?@nn&H&c;xZT$Qy(w&#^J{?-CXzt-Sq_l9yzUtB2|);JvF$xKtcwdvCr+P%Ak9vA$WulG&s^ODzAN zWr-1=cgVe_iRj{C&Ua%*bc8je7L8jP9dtPu4RQOg`iL6B2dd$6lVQO`D3!^5;(iO? zd-m7V7(l8&zjwcTHjF*+*d(B)%aC|QkM1bGJ~!-6tIaOLeqW+_>{iF5B}zTt%A?** z3>Bw`UFHdyOjUupj^UcsBga06nc!Eng=$}}X0c~Ju1R=c4eWkDx>uyRNT=ZDIL=a5 zaj-mEBCJ6v#?!GA{gUTlErsLXEZJ^T60Yr{#$KnZDQ{bp6V?|vLXSz(3z_h+Ju?Is zK9(fQ3Es+`R*H70qLh>eUp~q?`<^maQEY0g2~iyxOWUL&i5f;E+PGifaaxfJtGL3t<{xiJ zwwvi0EO3bl(y-2;Hc>&4v+Y(Hxk`;~HoP}((>TkzqW}ER5Zs@i2x#-UiBJ!TRZ<_h zQeXrY&)G=Ja%3$w0zaYsQSxYPL8*jp(km=2brGM!j`w`84~@q@Y>vJ=zYI3LR2efP z5geu9`R`n@Jkj@KDw6`|<(8;=*NA35)xH{#Mb-B}$c$$D$`IeOh(_rSU#+V=sqjy| zOs#eTe`>cFcahlOZ|=M{e&WX)?0K;<%>rS|DFL95FoFuv<7;G|f5InU@14}X&&Lx^ zi5jSG#ofCx=7-*}F=hUF(NXyyu^i9&%mrVu#3U~>WZ}Y;-O-#b{9{>JUhn$SV`mE} z+7P3lEkFU{>A!^HSSz;uMo2`q%(7rSCEkUL2Go<33!`i20=Q!OYDXI~53*YW*$-K` zNi=bBhDr|u(mt!=S0*%>KUeQh4^_gkxm;Om0|dHWZHr#4yq+JtJJm4g0wa*{SGGR)VIYZStPjxw51rR(bz(t$-}1T0Ema6$a37_ z?eTeG6-PW2M#8;?ORzyN%LYPllS8JHIX&E>YYmH(8>=PaG+~EFuI4n-5%(SU;LUdBK~G1vqN0TLsEUcL9co@P?G) z=RYIcVUsQ5IIC(c>^tX>vWUMMo4*(topT{gqhEYS0_D4n<5oI)54)7H-BzB^sl47? z*yM{_4sJX%2M%*JP1*p{q&ZZ*joG>8jy>4zV#?97EEaq^&XMl7b$u!}L4(ZSa9$!I z>!o9uOwa0{3{1<-iL@7V88C{EG1x813!kP(W)^^p%;q z8QgOI;B5TA7#9*~A`9O4+#y}qvOa-cUw%8QOkH)%*%bW?cjL&$qcRuHK7G?uRp7&^oIf(Lt0b((bNA(4ZyIo# zO6AS(uHoEQ`=+uN>#te1Bc-|NC_wG^Zi>m2G>Sy)Zd|<|8}AbYfSLU4oQ%rG)Eb`* zx%Hv!sRUVg$$S|-VIE^gIwl+`5cyH#oW%ct?zhQVBrElTwh}_aS^hrBWhMWR!GaXq zSJ=CY{c4&kD~cB*B-hUNoM25tYzEl<=OBXejdrw6-nFx=_Nyrlk8av-L54FLtiLqV71X5hFWB?dB0XJdDf4vl?2}D1!N3((|%W3 zp+?#5O;ZUShCmX>$@laQz$A|>vVYBi=IT7Z*v^_XAkp5Wu`=8 z`+YV<{Vl$5_47^f2o>!xHV~^5{r61@=K6G+@cv5S!$TYrNg@;@XwzU+e7uAz{R9~w zDJ4P6VXfJ?va2#&V|Do%lCn@#f>Nrf+qK#YG{b^f=$d5L?ZkaJPWBoPv^9ag0x2eX z1Vj6rj3>n8Kt(H>YPJza%Vu&Z=TA3U(cCoGoOVgcK_Mf1$$-?MoFnlXq;8y05-I)n zW|E$*Ii{d=ExiNT7)I{a+f?qthDQ~0YlpWabsCRN+a5e=B9aQHp~`Sf3;W5CESNxA zI&MoE`{y)1e-knF)sH{<`>gLt3-r!(8L2;VIxw0!aJw+tdeS1MF-Xh60 z^MH}J%j+D&v$iV6W>qxEwvfn||rr)aKy!H#)~@$MZu*eFx34Ok$ay(UDF(Ki~A z2s{14=;LJHB2wQl^J39Rgs%+q*pUMLY^}#pkhBeM3A7jMn30|FuRuvanC zP|V4`8~%FjD{MhmyQaY%#{*X^=B)~GL@EZkgt|GFjfCN}ws2s{*g~`B%B5nm# zQRD${q}=|M)F&!Qb3%o#@%&GdQfN=t(A^H}6jjzdVMN%qk;OKh+jbI{dD@YpswA~m z7RUj&1@&6n+co)2oqK|QnP!w8d@4Z*ZP5H1DP$_n&iQAG5o>tmMGLoJnku0=QAMIc z+5(b~t7me2RC_>+5LeS1-hJP$2W%^MwOP42PuYl!0OdT37^dY3nG-^* zqRNkRlTW-ohKv>+=iH=vrBiobK?ZsGH%?a~kEzoT^oIH~uWeMMg!=$dmaH^Yh090B zl0i*Q)>{-NT&Q}Iec?xcYBOmvPq~u!9`Yu}DOv@pUAmy+g!+js;uYk^=vdhRlDmhR z18(cKxbf^sf=9)TEZV9#T`mkfB2mHWNS>|K`krg7wopW`fC^9b>mT6YP=SwIx_E7M ze;i%>Ta+M)ka;uZOPBv6+k*XTjRkHlcEB>IdC4g4Y$_S6EV8S*IJrsmZ)~@WkL^|m z9}6maGK%@B4(NwyioQ8~8I|v%1mwCMoEdpc4}XG?R6SP9oD%|wM4M!xQv>A(1l$0Y z!A!6v4^d%REy&fK?NRp%yAuCrt6}tpDiVfW@+A6y2<4?KiVN|O%~1lpOaH_E?~7zO z;x1ldCSju0MKvtjSoyeXlX5b!stPGitVvTcW^OUX;@Y)O^Df=f0oWoK_1EFIWIt;} z5NLwg7`<*1r+^h?bRRW*(cg9su{#Nl91{RdDNH5BGekx2PoTOZtS+O!3K4wUJ zJpb7iZ;ts}KM53B{y~+*S_TBo$$M0%6A4sEr}foihCXv5edFRhcC$$B=|>&dS4z=^ zddF-@ULn2bL_?t|RwG5H7>o3b(tyD2$w+coFAuJp64=c$&kC{qNPc|K9kScTQvqq>59mAQwW1XA<|WtF5{qA;g}( zr(qxn+9QPQWvraqO&HP0tkFjTX={)&d{FpvLgS1cTGJO0Fa2)xrtC@_jH@^%W-Wk zpWw!7(^{t49h{_HRN?(8{Y~wEMkq2L`!G$_nO^vFwrAPqC!FHg>w(*e(F#R6qr(0L z(HJw_{4v2$PZePsBAt4Ra#fZsxnB&f0(S*j)1ug3k!g=*z#oL~S}%&KJM*Fy>}>?r z#-0dBb7IS2aY=zHfXg*_6O8vBW$%4j+txz|n_xt2wxh16*YBMTbfiy)+3=xLhI?Jf zqQ*WgWZ!e_pp&) z-Tw$MWYXS#y@&J7W_^IC!fuOG@pfWg@3zWu+cqGmufZZ-G5UlbjoURTaCHmnp!y(| zBKcTJ1lO7dpu*c5is9K0kjJc0gUpcgz^l-klqwf>^>CDA9_CRwFTdW^QhU?LPS~g9 zN(s&d5nN-)p~Q1}G*PN!RZ2)$t=+#+Srrn%im|Fx!W`hDzAgG1g(8+fZvil2cOJv8 zCR6bz1QY6UTDr9d5pLf~zdANN*jh}URpVzLPgd|k??E*J0(X6{Y@B&g6{|ePtW<-6 z;PJwWp8j39RDRB z#qTwmvidp!!{VANYH|E0^-UwulT&gWhCZbC3^Y#@(&&OE*-=XxvV3B6Mnn z(3q1P5MTU7O~!d!jc^Aoi;8AxO~ZICJ(}~PpQ{5YdBdvlm@L8Aitv1B=P?#CfCbPk zbewu`3~{|I965Up{nbsXg`l0ucMsy|6e}eDFr}}(#}%oIugqKeECq_NwwH7+-5B>n zlaOw($W5U7A6aF4x0CqC_ofF&ip9V%vr`DfsGjGIU<9_L3P}hV`#8X@B0!gBSWiRE z$c#wB>_@2k{yy3av57>PHILzSh~p^I3SFrokVFkv3K|4uI#WIg7l5QAHm@~R@lNz! zy}lvx8yJ1bvb_PZm@4{EY)%J97`13yYf@jn4Yp5xtP-%TUZb0RjE;HTg?oOy3wm)0 ztlwGE+5_XFblVs6vYH4J%#e#7RJpUPRqUs#l(JSpyYu8R&lhwPC z`GEGaut%1gp&DiYPQ$e9Nxd+vGx!oUZcTD&^A}phKIP3J-AxC0Ua4Q6l9;FAG`BO~ z%MG~~MS?fvNxLJoF1`;n7%GMKJdcx@g3CZDMA|y1h-Fo@oOW$admKzuk7ksNw(Lrt z$g`YBvv4H$h5y12zYINU-zbuDd-zcF^Ke;Nts0~GDpWjMW0Ity z(!Fv8Wl0eQJ5-j=t9Q-mfca1lJ#?Oro0YZkU)?sOg?Yh_JD}X>~5}|n>3wAi{POK;D=7G8U3n7^As@y(h2O(r}H1p zQ9K8b6xGbh!kQ);6ie78U>kPP0)>k%Sqd@?$d!J1MVIBqz{Co|2s@;MuV)B*k`GDZ<&cN*)FYWpX^=^ZJhvb!6UOfLE?wxuShgv507G(F*kxf zpZ8(4>hZwO4x8Zknrrk9rY;XevPBhWT>cM>Y~PSsV{c00Lb@svaKjwY)Ntb{F~Ito z`^(+7%_7H~hQK-ai8pn$CGMo7NZ;%>da7jQXik0r6F}Y$@T2yzA${WQC*TloP4Jn^ zMKT+`PGTa~Gaiy@AI70UVo{4P*XTD#OyHKzAJO4UzZW-Qzh$4xktNXsHNI7m0GNjr5YNEqu;A}4KXV1NQ%#a>QY>OS z)WOokj8TElLoW&$&$xI=JlUe9VlRuyap^e2y*1YAZuLYyJ|j4tR)GZ_3l2dl4rehd zF&CG0J&%J2OLlxDv!Zns!l(`My45y^$L2)@5o$=&6{4-}f2;rHWcqA{nA2Wg*J3Yn zengAdJkE7}YyY;NU5RCTSL|X~x9E9N%)3ZMaX`*_Nz&M09Ofl*f_=KLFKxU;dX)N? zO7PFu3}pt}MkeNzNM_`^&ce8S&#ncCWN(`rR3`_c`5)S?DthpT(tcoCo|+g?>I0Pd?9Y8ryPQn%-huSh8t-_AhNg#DE106+ibX*ShHh< zdC-1^u0;RU+Th0w%jxiI+tn|a{WEaQzF9%k+`}rlT|1V2W1(X&*JY`9a)?$Mm;aQ4 z5!Qq@(%pkjj&u`>SOGO5h?#rS z_1f6N1B=#-CxFg?BZ3npzw3 z;^&=OPXwmAOe%xTVs~{Qb#8r8B39$YWTr7Ro`TTM1bF#3bL?nouE@^hBd`>EM|QrY zOXpaXg`giF*V##246x*AM_@dpuK6Xr@Y6*Q-Z_uHT6qr`*PNP#QQwLhup-(B3`&(- z)9Zi%>FL3$nG)14-SW}Meuh|00M~qGe#qZGo}Q%+D0{bD!t;H3u+FR^*%7UcQZj%o zM53k>`mgo}1)G_)iA^@|fx6zV)<^CF>UH4W&Bb>OW_0Yt1Uqu8Hl$YIbc;=q5vB%F zjb>+2!cT$7lKN%t*mxlHm;+C)Ea-dr6;&9q?V8rmyAE&rhE4BFqS@>`&d2wlBgfg` z0IWWsA^#)LRJtW9(GfQfJ>Dt1ZQ%5^PAyVOz-_uN!);t<~9L zrY+BjDw6F`G8+4aG zl-F&LI&bPR(Ye3y=9zP9#4J^x$GDkrPQmwGbBh|NvCQN`emo$f>x_9ki7n%!qSj8o8VN+@ z@Of-P*c5a8dz=muJcKTT`H&ckPp#~Qen(V{{f%~4x~mM*BjV^~!q_r=06#k$Gsk+2ba3(`DgcOdM1W6#+DaI34UB?w7 z3RdYOQIjEJM?6U@-m8Ri13Q7AwL#lQ(tpbBycndDOFD3m z6)4g}@|>Zcc4k}%3p2j_4ZpA&DW+r~tDZoPc8KMJ2*gRV#D6y;}jhJHkpuA zoZUfKh3Fi+YieT`{Pn4;cBN#^f;cSOX*s>%!BRS+FUDOak$+xPjZ zm9%t0Xvu|n-{vehaHijZa&=C^h>@wSNOtYj(RRb-QJ3qM=JP7od$)3&j-8e73Vo$3 z_O5q(4PzlES4<%qZFt?9-j|&d&D9kczrnT^$z&;fVms;mmpeyUxLtK91welO81VwL z;jEdv$(Mvt3~ccJ8erY*vH}n@?E4>Zk!ej8I90m3$r1ooJQx^bk?dz5R8jkd@%9NZ&kjh6H2U+z1bys3}0r~KNg>}6F=g05^C z9%n#l(*4hoV+VQD4(=U&s+8l2{Q+-)~rRx<34P_B+>~RtHrn(+i=RRY%&k(zgi=ZOLN9?rs`7<1;SO*gi{@P^vjJlKUn_GMzQHL+`@?)f#nGi4e zM~MnBwcvFBjdm(Fb19=@qr>U45yY8Ob*Ejhnoi;TN%$-G1a|(PNv`qM2b8A(WB?gt zEF0lj6tEJV(t-t2+plluNg|W5ioQDph=5IRC8gSpTRfTB17aDgVv$Evl(x0@L;|iY zV}gVNVT-q(fq7s9o&=@mZIZt&|$FJA;F0ubfgk$ z((fu+_Ww%5+v!V;;R(<`Y=twGtM)xjbTu8Y9@?UwVl)O_TFuAMh|*;kXeO^!y-WW< zX6@c@*E-&dOV!2T6Mcdy6s?*!p&I`;dhm@W?O9Ps;}Ii@LqbWNakKg39NByp-sI7B z%_8TI>X=Wz`GzL0n8<*?KMZ=$vdb@9{|Uo2oJ}nllKkOJUL)&*0aT7i_%#%Yx*7&? z`8gHI@B?qhPm<i>hLKzd3DV@HNUj6ZDhy$CO3S&LWT z&-A?tTx5F>Hh#w^-rStkv(m0|wXXc*xA2y79b_D$*Jqk07-epP+2zjNCnNS4?R(T% zz(dI!2Wis zb^pe5)CX)e7Rn3jbHUBdxb=cyr+bpU9_pIu8_u92@HS&kI-pp9ZtUrjcm6^G{tBveuQ$(m1X+Kq`qe>mS)4v^p-(@)H-G7V)N-Q~VzXn@1i$O7_3by2^-ANV1k`6{ryx;D;WrweCn<}Gu?}Hg+_?jzChq^e$3iDLH9rwgDDfu5uR0(yh zgLST>E-m`paMkTUO6H`L3bL=JF9Gj%+?7$^Kc%x zdI9?o&-y7m8fNfxgF|syxc)rvUyDD>!pBXqi6m{cF2KBYjL1AMpRXLDZ^n*c_g+h!vvDUN;)McVsXfXw${E zV^*OglrVC{pO(MA_eq7>3_#$7SS|v0K8hO-vd*zW|M%SUDG1qIUwBma8FBEhBl1k?Zv z$58HI%`a{q%GvpBCdDkyV3mG2l@7&MB$dvG$S)g6Rr5u&175>*MFYDHT}jVaOBf?w zMApe%T&(obZ=DWASC=MJzz+szTLdBB)r7By`I75pz^8rZmPCX@;m*8WIzRvftSUlF zfW|ou#ufoNX<0xbnJz^g6t25U5hq3w{AgF`v(O_}f4)@{UH!C{!3&p}xtKR{mWYmDnI`;RtpW8H{i|A z68QpC%UL|h!?tIc`ILI$j0Sv)(GZj8dPLTV^n=bApP2tv^yGl=(P26P&KC`309#XJ=;lWyw-$e9APC$~}@F=^0x{W;G)zpmRv6_um}JhfU6K^$BEaf5ze zPn&(Cnq0*p@fU!%Rj2~oy9CGU_mApfeMXE7x&1lSCfGJBe0saS)@x{yn`pg7p3$?w z>AS4Z<7RwT38;0}4C&vEz?FKY!gD3AQ!{sLSbWwlGG>RVCLqx9W7VKwJltS3714a# z>(WU*B&F2KfH!_K-jbf&hF=nK8*_`b{px7Lqx!xtL6WwzB*$Uz7;g5QN~7N%ct|`H zM@#VHY@j(CogCFQCp2G5K;KdQto57;wo zk88{E*7e^a`A&fo)SHhwA+yTw`Pqx}o+3Ql%{q)wKQq?l1!^Q+em8;%L%Z0+_~tFU z{?oJpMFKP}@lnzJYv6wwx_WC|9=c!aZyIPi*3j&ZE>15DI(ie5Hx4I1b;+|THSKcs zH}sOT*Ty1JWPqd0>i7@%C2hAW_*s5;A#zf6gp3M68a|SPg;_#*uX=wX1E@oQ)Hm61 z&1h<)pR4W;TPN+w3n+3R?~qq7qxD0yRkr6uAkWSga~Co7d!ASaTqyktHVDn*WkFSd zH|sRx+WMWUxJbArxk*_mSciH_T=GxXwf3imX8pFCFk=vAS}Pxr&t6b{tC4e152f$8 zOC#Y^+*Om6-D&m4R3zu?l0a{6=4=ZLMt7(JUkMO==`Hl5sQN%-8>cXp;h#J)709F1nI0U7CI~`89x|cVoSZKy zQbE_dCbm|Gj)fP&p6bcYxO0lin`Td_{Ze?~9gtceV0pg>rW~z|Y*5{z))@85eK|d7 zg1H|qMe)&M>y{*Z2RFOE8jD3{K*;c;+>aT{iwYL+mbNoJiWkW(N!_ZCaLvz5K~u8cr~|JtPd&kyEY@K|=zBzK{=| zE4eTh%#ptqR9{V$cGVv9;loTj0vt4Ca=wkJ9w6@~()!6#Ho*77a%w=X-Jtku1)f|p zWg_qnLI9tj3BFq0=|5H2dC?}0_6&XgL7ax*gf$5j^^39fQg=vQhrh7Mxp>N~_>zPm zp#V8+27xv$4`zOe{4P_46m%JC+i1|RG+3scJ(GIicGmC~{0n9MICR3iFwG3cb{pG` zJ)|d>-RDGANwJ^?AyjR459qhw|A%v!+U|;wh3AI4j7za`9(hXCj;GF9kNGKR_XI}LiNl5YiP?-%rr1W@5!&6+U1pfwLt(Nk+ z#?!@0CBnEnZ*K)GEQ&42h?NFh)#@`a9=L{~qNr<1GWThN+0W#7rDTxd?!}}1yVPl8 zKiM=|lk%S@WJb~-^>`di1gY!IIQRM+N)}l{MMe@$LsA;qa%PF|wQ~#*)JP+O)g&|O z5dK=Q(M6vPHKgNc6Fo_5o)KgywhaU0YO@#;JT_Sy6y$Zqw)7so==o$`(f`90ebGK$ zxm`-s55MD+#Q@aLE((DPTdN>)6=`8!`V2bXzvWN#rY1{XWa$5&WaxV!*zWZhYD&UC zB|>1l50^L@VR75$tLokXH+_=2AtJ6b#6IW{c;_|mWTcB@Z`QpZZn?^oLz+Q`?7_yM zrP0jO3vd@TQgKfyMBk)h9vO$a_sXEqXWouvNns;bW^3*eqmQ<%5g87lBj2_TvcfwU zT-6BMi2seCZ|CTjr@)&4e@b4o9-b=#z0CeCEwlfvBnsm~<6X~k$h@0xQp0H6+xq;> zp~7O=i1e2AUu9|Z?6Vp()=yt#n^>8xPWg=DFD4sKW*G+v{Imw9nfVX9h0!h&!8h=wo?svgf^=h{{(-VQg2+`vVBq^y9V?0^fN71<=5Wm8=r4Y0U z9Qw*EE7!0qzJ$tAqw^8ES{9^1C|V;!mkLtofl_Zrx0Nz%muLD26J>DXGRO zsah-23XLB1Kh&12rFH)z42jKlN>THly-1y6$Q(8rqiAzsOSq%b(rem%-B1k3U2U)! z$0(&*^usuvkyJJnDjDZXabUGdGRaM1_OJCGJMmQ~agfNTqZy2#3-&=robd75LPF~g z*VoNWkfgt^R#eji7hdAYs^RQ z4$mpa$w`ve=p|*8QR>&`rnz&BIwDKb8~#&Pk(rD>v%2l!fLUAPoguyZ0q@~LzcW5L zX)3YgpP|Z>Ur^$&i|Rlyji)#* zU>S-=!i>b3Xi!2Wvhvk$7D$ZH(mYg!%jpI#OLFt>nZ$C1Aper)Z4#N?R$R$%;%IeS3mlZ%bGyERdaTe6a{fUss!YRR z3GX+WDceBR*(1LKE)ggQJKYL4Y4Xe$W4ej%m*|Lc4griw)iSC>xbq@l@qPZf7IdsmQ9fK1ZnbpokRVrl6yV zLU;|n3!u9Xrgt^HovW!OwtY#Dnqt2=NXEP3Z%O06-ouB-4Gs=$6pOYo94SJW1m?x5 zO`d5QmL?UO&s+QsA9k8S*pPcsx9;RT{k4Q&Pzuu$QKoLkGX-^FV?S5Cp1z9Z*%>)F zs;w=A+0j7ZUHu=%&M7vO_)Wt-wQbwB+f&=NZQFKxYTLGL+qP}~yBE7xyUE_qB$JtB z^5y-0&-0Q@vYFYd=qDazDkdBHTN-6kj3R3I1F{cP2>SEb18sqB8k0Cuh&ec9jHB$t z{PPMyopX9&J0^f4c0A>t$l`2J74+%q%>t>0fPfvaH~hg%##!KFzCiYjt!3jiXC zWoRmj!i5FGh06holH10#TayWt9Uy=V%h?s0PjUw5#!u)p2>82dVChd9MtYAp zdfNJ$MhB3Tzsao>q>GHNAYkdwjhe~l4bfYV|NakZz>ntXm+$W*IXw1g?fgFpT}Fx1yIy8Q6Df2mqZ@AfQw@%f2! zVSHIf)>gggTBKs6{m?WzCDu9trBkYNrl|o;MpgbiU+OwIYbxT8uFs>srfm2&q4f6l zPk!n;S)eA9sx<$^_1@W{%q~CnsNAMh`yR~{k{6JamrK0#sMr25D!p@o%UE1L`#OH$ zEsbuZea{T=(GwE7*Z|0aqRQ9+08z0`?0mei5#Xvk=lo>E{Qw%g%`|kzBaP0(J3^;UrPO8;3$(3X)g3EJoAD4luBp*&FvxnvHbH{_0Bi_lkSN> z3u6Y@Q*UP4kM&A)zUIQXz_|%b2323w;mvQL|0jV_`_YA%EUCTmB$3Lyi=KhgbS8 z8UhN|{>}e#d9YwS+$(>Jsqaaal|andh81vqF2$RxtJR7;P^8aBxn-1m|ij2dldq)jInfRL~LZ~$@|E-GBIX!K~gj#f02%%M7C3DRAp z_N8+i-Ympk8LO5kMKE!)`pLhPi<)qr^HYU{ZAw|xHyNE!URj0E$2T;j6G$dTKzqv~ zP`d6~$ZRiKiZ9VKbw)Oa_AOHj*_7Cw9>qiw^4CXFEQCB+aOIW@jMs#K;0mv=(KH^e zmX4C-axS35%ME@E>q(8U2#Igp6ihW&A4Cx|pG&Sn%b4zkd{xIzP_Bs8>O8zhSi)3( z(_@SDjLrGX#i=;V@s(%_0#gR(X?X(m+RMHMYcct}6M!l?7%5C;^w~sqp2PEp(^iW` zPFJ=D%f7NjJ0xeDGU2m>D$|iIKIN8ecP|3RGG$&^j)%-0nPQb@^ZY{Vk)I`f68yF6 z&p(car*NqvR4p367HKj-(Ur<)3No!tP{Lt1_Yu)+YXcmWM-+hpFv7Y?XP%BB-hhOD zAGqm>p`#Z8D;E_I(ls5hxqi=FN7q18ME2%qDgSJ5?eeepL@23u4TnnM?z*K~agsa} zMr8K(^&tLGhd^kbaLwe%jP#}BK&|%sR2;b&0j31i<;dy^f%(KrDa&5b@@9To!ODOE z(4k?v)>Zt`s$qGcqrM@UUfjSVUe$1EbSa40QOA;C!VoViulSlbrN0rdIMXH&Hst|^ z@TqMT)WAUc=~cDoFiTp_cknf%aoTs(&Awwc6USzH7bf9D-AELdK1dBFw6hO^urj+^ z96R8_Z;qzjWTKlYxqz5>UP61G$KhIW+cZ88{;T?U+`VGmr5j2sx5D@v%f#qscGqk>Kg29mB{|G!OsLJ>AP_;8Zc7Vs~Zhg75n&PSN_#Cy7fm7ojN>HwPv5XZ()fnw9tY~9HLwO((!Q><) zUsb}#a|LrtlV%(CbwiL7!Y&KmHgctbMuKtT2P;~|_d#=g=1W7iNO**H$Dk?Z{vcYb z6JZC(YUene{l|&K@;3*MHZOfrwGxjMl&VB%m&_s$lIbTDX8uI!k`3{%H^z+-x)Sbr z1HIO6f=0GN^1VZPf5C2~Eb7fGqXGr@$1^OphGHsDV;)y<1K)}hn5~z4y|MK4drswr z-cWBs5N!<>lYkd)&x-%oOLqWiP|?mm>_A)FTh0PK`uxr<9so7}Lzpx}E^vi`7P!Sq z_gvf?mVTc?VnBsk1o0(u(0hF}Nxx{5$#b8Oz_zA~wQDEpWtp^r`P?15mXPfe+mRwA zfVu1ADLkxPiqY4#Szkff%V0A7>OlA+v=60%@Dxqr`J)pFB+`domhbCIguaF{?58W9 z1;*iS2+_o^;uF1#5#W@PL9R9o2i5`+1Bs|QWtsoo6>{rd@9-ar5H zzn2hJyFwV?Xq`xSvOu~^jlo{SIa~1T)txa962%P*rv*URu#;Zh16wS3*%0aZ39I5_ zXCIH)zo)2m$ZsF7Nba-2P_!aohm56!x!e^GO)-Fh!EGt}8etb_h2E<=cKO;aZ)8zS z&z-in$&1pr9ii5DZ%Y(v?dS%JBfz8!F0a?kx1Z&aI^B0F(WT-G+zToE#@;)1WUk^B zT1w1A6h=gP=zSU^(?XA79N+l9({m%X%@G-0ijaFlh+8n}J;qo!rBX?H;7iXGprUQr zo|;s`pr)&w)4o%GhNb4^@TWT=)E*jAReO`L`8)`)eWG4wNttCaMy>f_&bbn-sa*@a zTVW@_M$=mtfDPgJ+#E;xU+U5OT3Vq9x;9s1_1fU{rut_|iiL-qPlfmUemD^O!7FN? zfNcNnS+#V#NfTPA1%6(3uj3CK!4Y+m{6=rkZp0E*=fo zGMCkoehIxCB1Bc<;vWC(RV`FXu9}ba)Y${ltko33MUemmKP_kFT2GmgtjTuGUeBWQ zALPD}pV1ku=2N+$A3g6{geamco>NpYoxEv`AO4W@ISm7qB*W|g(d%&ZwXAx4It;e@ zMY`>Y#|-cXkE9?r0Ino6$*%1DKb%0e`pDn6+^Q&s^<5J}Mb7}lpH>_(fL?P7?pYM> z%jn7@f&<=1-4db#oh7~kXS(6;Rn=~pKlhu1m(zu<(R3TXEYz&Bu!ADppicod%iGD5!okpFgB&kTgQ=mW{XyncNx$HFOpzDsW5ELbKclA6YEeLW)~kbKANqEKr}yz zoWJ<7Sw=ART1D~ew|C!Vq40OdPBXGBF-;i^Uvrav-RhLKCkqoRt(CJ<`&`FSk;5}PQ14NQ3VJl&c3(>X9iXywr9Cf{3r(xTZ@ z71E7#46^GPVjMM126stAr}j=jYoF(YJoY@7u`MWs^vNA^D=uC z+>|GgPl!Gw5qLA$iB6L&qg-|U2OXYL4vuR|E4*f@^{grQ$31P~jlFRgkRFG)hdK+d z=I=~loAqpbd<3c!_Ab^wReg8;Bb9y(fyA?cOg2^e_^$3^GGT_eW}}<}^afv)G4tXL zRbetFTfE4)|7QKyE7)nNXn!M<(wv*%ZShOE3jNJc<(}|7^yM`*&ZWvQAslmFymtqL zr6-J?G?8r%I*)o%F}L;CE1|tliN=Ik0j)@f%M7KS;d${or*OWmiUdC!RH0>rR$&17 zKZdThJ;bO>6@P$?Mvz7=yhKT{BW;SJ5pfFFG4q0{yb86M&trIGX>-WPyNyxVTc*Q% zFg0?rrb=tF9hJK(wR&O~z7MD%pvbxUIoghS@*d&Nqbukp%hR2wHBS3AA|@f|6XJ^Y z_q<@i5LUAA$vq84rc9^M#=Gn;ln(xZKe6HI>zcjLkn1ASh%eSnT4@3M`=Il7zkp=Y zSL?PmJ?nH|DFq;mpn`Thvu2~y#rg(h^ZRyo-JAdj*n-|u9d=We-Uq5$sY`|(G)tNa zOLffRkLawWL*fZdJQf9F@4!?rE=nI9;3CInVJcWIIkO3?vHw-Y=^1)7gcI2=Jt}oH z5#d*6MS&t|+2Ae#d)|cPJs+CZhzT%V9W#tkf9N*i%%!)IrDbG;FxoefzGQWtx=xcF zsw4%ubh15XyT1lRisB|q__`}acs4L)n%+M$JnJNpQIhYKMu=l#DveSL>#VHdZ8hXd zLG4UCX?7C@Sa$#OHI^7G8sUi!f0mMVSnn%r@Mlgppc?{oz^n%aWtZA2`Qklz%CnXu z1B5b%u>@{w?-9bqE#7k&HOw94AHd+v7H0Dd#X6FP-?V(axKvw z|D4ls%9*I`rw)qWfgR*e=?}q)X!&ipxoYGO*^0jv=ImPizaAm+Hv1Nqn?=M-w@Yv9 z@EbWT${8CV_u{&%Tb^ODb7`S!JmN#3<>zpQ;90;>`MLp|bEe z5r_$ZuCV{IUxc*)y`k1JRdFP_iu2N#`R!~wK5%lFZtG^R-!ZcG$RXK^?FG5Df#I9{ zeSAh(`4A)FbV<8V|B zqg`j8f%_5LB&m`3squ22y*A#f3AJPJ9r(cO42=`p>r71wlwD%N5EdU%?H)kPtleW5ugv@Jj_j*>@re=YY@1Qt77u<9SiE^QLuH zoxSXJv!iO&*8jWb)sZDBSy}zdX${4VGP0-v1(RcW$~zjR=KVmLislwjnNOOiKvOtC zPskilGh@r@gZ9~h4hH^RiIAX5f%bJcV=NHPrOrD(nSL`jEK$moRPrKxi)x@6gX%H)9t6#HVVCVJ(ti|$n5IDX_SFAm zT!X{#qCrW(G)P;D8uq<|s$Olwj2r#9XVhbA&WQ{VNq)uJ^gch)4@8`$s*VJ?n4hpx z<-hxTou7#^${}&-<3uX2V1v|QK;c@o^Lr8BLI9X*Gd4l~!Ewg0M zQSy-HS9%)v`};ekaTm~%_!F+Mw#6wDU7psDmj02#r!n4T2~q_7gaiK_30_ba5CdYG zHRGk^f`N8JvsTz5laAJ`V5mcD6KO$)8O@bNmggZ=nhF~PLaA({3R<5iTFaKNYW`Ow ztuRZJ=Vj{SYzgh2^Yaq~js?@N%1UIeXZ+EpDo7;ds!<2237r_+eqh4+L~z@bOetF! zPmZf>vXGowi6{Z`%UU041%=So6c4O_samK4x^RN2_=(!%DiZwFI-^=cG{waJjzcY_ zx3{uO?xLep_$K7{Y!y0E_w^)d8}< zfX6IC>@swS`_Rx~g70v0RmR6V2pJqM0i|w3hjG)O>jEm3@_=YbLaq_B+>z%$0b1W# zyCjv@XTdIhK60PcltCz;bUq`~%*Fw@4@8q0;<{I1JZ6onnhjMHd&qfq4@xeNj+fo- zNDnh1hl7={rMK&JbgIzRd|Ay&|2(5kX^ny}z=TS~!o&8!W1 zIc8I16|~u-)v5>*v0lA1pZ7d8(~W118^!x$SCq#-Gvx!w1qlSd8o|xUKG)S0 z96OhdI(W_5H>NBQe6JImG`ec5 zg4zWo=)R;uwtB;+NGsq`?xpU)1wE{~48d-GH)~@iMe0jp&oyx9Qs5phbuMLHu+d;N zq3Dr}I{35}F^*}Atl9bFbv^>%N|`Xx>Q3YOnbjTAtnW^>NRCfLjdDtKn_Z~d^&ypf7l;i05J8)K{1QM zuwH}-?U_K@3H^KU^$k(#`p)b?;#tRTvE#VFD~Y@}Y%CjiXQGU*L_mxDRPY ze%EcWRfXlm&G5;*#gP5U?-Wg;w`FzAb5N((dAWAmzdLkLwCojs6zl7d%w)Qcq|;3a zr~Z;lC{zuVT;XJ8OjXGlWz29}`|@}DVmAcM$&4ue>n|v;P>;y4j=A93pJz`_FrAZOc%+Q0_E^of zEZ|1V27yQP95#Fy-Utp-C;ej5WAZtk^`yzo&+wB1jOH~c=K|9ZF--bxaYD#HydZhZ z#Yjt?#8n zZ&8daJdXT-whLJy^}Un22gF|rTOcZrmic4tJ^binJ$4b zQ4766MOAg8f3X9cYdHCmm81caBExJjm!4e-WQ6AuB48TYH=9)+kr2zzQ@YgZv40wh z-31v2GCO$uksL^D-rBEB+aw3v`69KR*{z@aVP;-#(g>_)XgA1zs{-(o*RQ(eT79^R zomxdD!Y9%B4lj;?nU%1|vO9XV)EGVwSJ{oQ7Q(ROPkUThi5t1k*_TB!x*If0(qih1 z10#*al^`;+@ocuu=iT2$6%1;nq&O23nwG@rXTp$B84lf8_M8ySbXjhoF260vk)NrxaC za4`%xi&qHNqfGF3Sg4=Ui7gx;KC&(vi2_g~$}SZnHt>Q6@Z!?sD;5;qpKINjX4kA^ zkhb`IES@3GqR8MN-Mg=dX)*GPB7){gDg~q)3~${jk==Z}Gy0*VbHU33Tg|=sL==0j z>D?YW4TouSV+V&SlvNnNB2x+4N9hJ=xqZ1V8C_1-949+kil>F2EOa#SfWohUd8?2-&7FK*cIOEqwD?Tqosi#S`u{;Q zbn+C`E@D}05!1Wd@-K{-8+|q?QTpm$HXoC@G?54#p*qDLrMwy9qPF)A5lCzRsn0D7 zD(3VLRw~^rSDBY!_`WUs!tZ{!yTI1ieH=+9H4p2~7~>UD!G1Rcu-x03tA5zryHo4@ zUK}R*0O&v~`qW7=#kwNa|5^YdF*+>4%UTux5$n{Z65z5~vxLX(S=}h91{Lp%Ed>sG z=5RW=LBT4NZ_|s%Y}ulmWmY!Lx?`7a3ndGHti`iApPP_kx8Ad##vmAc=$vJp8qc35 z1x&h|tf*$&f>|HS_QnE|FZTo$=h`I#P&y>Dyo80pf+g@xjr#D`lX(IX_(En8TB30Z zSd#{%?W-=vLQ2!7lTL0Tpzfb38+6~G+o?+20b#xWjjJ&+u}$nV+Oc9GiJ?3W1i{K$ z3;~j$FZwr(8aUrlSqs)dNT0IWb-3QiO+z(f3ih!LRY8c#&Kg!0;JdA?xt8pdON*ay z6^bkTmn(ktaOwH-TdY@IPM*yc)uE9`$<*t+I7e9;4IK+6#@gWKyE`z6DXRj8+KB;d zjN&-0zP+O4$Zk@ESOoMC+`1pnn=uS=L(5!CRt4W)NrgGSCZn7Y0Sl0{6S$lI1$_9dT3WFX;t9Vl>s`;B%x7(Ttm z5-VD`XAMcb%6V*j!UH_M=_X`n#)Ry@Rl5+FbtkHLa-{9e0h&}i<-PDD3RQ1cDnSY# zlQ)-Bl^g)dWOnL}vqWL{W27P!^zRb0frl>OMlITT8!JR@`3K~S;cQ{QO8#I(p%#3j zv{@q1pxn4Vvb*MOob)Sis;#2t>j+7%@(M-#IH|?f*55W z{HN14p;{NIFr9WRLv7567(u$Ps+m-D8{W@O0=@5iNwG^0SMsa8PBFqaAq)q$m>PM| ztPtkTT~$y`1VY>VuSUkkO~bVPSy5B`v!`4;E5`|I{ zfjF0HV9h&A^=760k1fw6sS@*~e+95#$$iLsIH~;!K|ZN@FjBA9k^SR~!0BLZ3BKoF zH%46Dv@saQ)Tfr5ct#v48<3p(m!^gTviaL2riTXB63c(V1F&L6D+zY)FdS|3?l$`_ z`LZ{`5G@2^(p{>jwKFhorqB4g=#1e5lG=^fMdmOsv`t;aTcwkx@Dh;W(lswEAD>UUeNAozUfWFy9yq!`;fAd+t8N+LkcQOL1mpkktbArJGF7wQFS2c7qhAzU zGtio*xFGB!QKcP*b{<4~uq*;hn8c&XW0L!b*)UNjDR8v&24qmC zD4^Kya4uNuaE#dOG{V1}#i?3#0BxbJeJBRR&gBxZ`Q723a5T(q(Mc@C;*bSp3 zM{=iq8cMqvoz#()oOn|5Yd^3JF-nu*yYLPpAenZVAaxbBHt29VF zBOUQ&=jgI_gMpF(S#uid7s$ep#d!s@BB*A@j!>{&L5Qd>UuY~7O48zPq?B{=-D>xT z?u;3(jmh<@#|+l9Y+e{dAVU6VI(X*fdH}j8X*MeyrRqCL?O~B-ASx8Tt*@Yv^uj!5 zDERX@*+6h%HP3K%jVQ0sj}1wVXD7o(B!5Px5J-AatY4`gCRW*%{O_Lzf*7tDyYOXM zfbi8Z1j>30q3p3KdERKvp;UH_s5l!GBf= zo3qm*3d6e&-1^S3e$ZblqAqmRVOcrJ(NsM-R~OxbFkr(5cs3)`!zgl^DMQ5BG^}!i zV$;zEvpUVKvr>W>768zvw^FUe4CD<2FA{gK*R$2s<~$NbanYxbDtBQeYP!~?s462? z67%4g4an3?@&G}iAx_o5%l_IK{za7-BGu!69iU(2Ax>doj%b!-W+1w($^U|a1yeDP=U-0J@gyd7B-YyEbCn5c|}(>Hjx z{_B?IE%mGpzjaa&3)H6Jtk;)Yp@FaJ1bLj;3M-KN$fAS0a+3)bHHQS#D0Rf=ab8pJq3l2 z-`654xRk9a(ZqJP!Go=!ROD-2Zy%x4X4p;NuMT4vhzK(w@4bTD{r3-yiQr%O@A*DG zg^CZH3fZ0Hlyx*L@YE*xq5x%n>uxR~3?nXhmoDy3^lgbFOU1G5j8>XgL)1H{P}{Or zf!3DyjydOOV8%5ub&ak*DOO%pIE6C0{YVf3DwLkBP9pcNlpSJ3*l^*u46;6GJFzbA*jXlRty*OaXT)%sL*?E)FL9gQgkH+dBojTt!hp_kl$B zr`za=IUD0?7)EHvV$jrwRGL`Z7l+Ky2Z)T-ePl}WR#5n4yP^gvMX4%tYA!6%RpUq5`PBy4!u|37O5C#3)!~n40 zw-JsXZ#*@?Zg_qJ_(BQ-qr%@`anm&^(&jhXuZ%+48)wTz1d>0=dhnr@hvG*H0PS+g z+7-mLZ!jEk;#sO5f+x#S$l)F&D!8M&7KM$AASX^a0Y}w)R?C!y)6mD0<>U7PN^r^F z;UDF6$+mFmP0ZB#n>8)J%lu$tRVlh$hzfAHI>8f{j3I~VP2*7oovv26yST zIk)hj$nl=%pY~Z8ukxr%YklbU+g3;2Q`Yt>=}Vk zTXsyf#+oJi(c>0EQsMGSLDXdAB$cY4Pw28M?MV<}zG+a;(~P$ea6I-27rpBKtRKm% z5D%)AOb!93U$Pq#-|^^N(TgDNl&(ZtTfz;eiCCZ z7l?d)Y+#qEB`)jRtHp@l4T8u-kn4WbrJ<|W;q0I{;A}W5*OA|g8L%OogY}#`T3m4w zk>}h*A--^2r=vQ!DtM?vZC{0@U$0<(c&7#kAPehd(YUPo7n{aWbi z8NgD<(OzJ5{e5&%AW^I^^>~ zC^kKUfdM?27cOer>Isd+K7!~RqM})#h3}+SpclPTBzcV;)4UiEism>DiTl-`M+j8r&wm$wfu^^y zx#gdf`u6OTBqi{;RT>0`y}hW3S5zA z8i0b+_=AX3KTXZz7)Irj7;-0cbbctIsxn}Gv8 z#~QGKT;-F+pc&>sDEJX?5X{Hq(6W29FTG1%`<&yVfSat1+HlVGd~F)1aH2|*F^*;d zI+`N3WC7C#VxljjSI#Y2cMNX6aHZKIPdr&BjbS14R5VWL+lQAoB2FGaAu{+xx!$Dt z-?!Bb=M`o;qXe1wO>`-Dex!N6rn0WRhN3$QQ%{p#)tr)6Q_GP_rGMfAnA8gjN=$KP zDxb2xzmFd6?5>dO52Zj@~o*1h3z0uwrKwBc3)tkLz`rL%L=){AN=7_cG zr-N!`id_oKsjo)aH3f>sJ+{E4-aNP2JKuFMtd=jxnN*vm5}0CDbAvP`Jg9p=H)U-k z>en(-PE7XEb-~p8x|GqjcXn)3C)@0O)FHxyo*p@NH^*4L?_3`#KDyN45ws>4@}has zd0p=6U*F&lPtcCu08OIxjcajiS8|dhYpv{u19&^h(m^BP#Dx-uYi7qVDZ~_a_SJ$n zrp?8XY3(|Ye5G8UgKFnPloaV7ff%y$+@zOS+)Kv%fIA+u!6{6d<_Q+xF7rns?kc|8SBsrqJ<^&I&2`qD?YDlpN9h!bDWRAzt7zR^`VIV5(9#G|r=_Y_9 zqO^UO3f3MV5x*ST*B27ChM&)d9yh+mquxqtNz{Vos`34j>2TqK)L2ka=Ht0O4A9iz z?%uz6L9-+f?a4R@<<=tfJaEk8g|Y@zC@p2}e~SJ}B|_~BYwmG0-4NvrQ!m{*$O0%+ zd?*I(>&;Bj-L0v8P;7YKofrj8ldqOx3moExlT!ffhmy8_6MmU^3(rR1ah$(9rpZ~Y za{w93f>`2K6lF%wz$(+3*zKAR4*HilWhNuTU{a@2OFWaVpm3J|wCgg45-W#~lHV}b zs1!eQh5EQ0^#&yHH`HWY0R$TnlSAlQHWDTK;I z*juB>-BPpEI{yO%)tC%u7#rKG$erGLo zPW;0Yrn)n=dE+>VR>Lvyt3$BlF|1LvR`SZ1CTtbnxf)s8V$aochKA=wg}%FBGyxCt z?6$Oss)#bNNe$pW;q+Y-%V-oOLd9UFQzBw%YVYbkBfUz6lW96kcxm9W5?5GExt{+f z99KfC=o;}pQem6_^D`N_rGR3k5w-(k+O|)AJDg2Aujl8pL{!Ec+a`Oows7>d)`7!M zPoEIx0Wa$jgzb%?q)c4hxE`f0Sonjj0M2k`u19Vt>|6TyG4>?k#DKq?bKXFFpAz8p zA?@h2UIZS#k~63OZF6z7LWM?R_!88IadntC=$EorVw()2>@z@dKM=m6Ceu>BGf~*{ z&aKhsqEoOk{ZWDzHN4st$Av8JN|wy0H%7&Ug+Uqawyj}R#G!lI{zMjuy{iw8Udv}u ze1rxv!#<0$2iZ&?*BGqTDr`~2_Hm|iau6bm9iVML*^eg;yZ0FAY4teOf5&iQ(EK?Nbj9{BRtAA8n%faOpj|j*uF2f$ZT*Wd|ZW*@nW^ z3fJ91pC0y$L*S*ivN}>Z@YAEcvjYU0n;f1;Ka0$8g1hGTv1e%5NbjP-2f~ zK6Kau zFnne*Q&20ap7aK)?eHrs*Q2$nF{fccH!Op8d_7k+iqpe6>|oBxwu+{vUUq8?C53EV zQB8OOf2%Z6VF|Xs1m=VjJDXxgSd8Ohg8$89z}O1sR3rk@I!?2X!Se7El|WUbX3-gK zAq40~HB#0PT%}h-e%H59;A0LFHf|q*y)yok(W#Z?5QG)Lkb{=i;p2i6Ht3n^A9IMCk;IbvUQRrfN#(2eB$hr zU+o~4{`Axy4}R`XHQv)58v#Zv?SsV??(=u=AE56R3M<1C_g~k}fu1{sfy)<#@E(rt zMPts+#pM9aVhu9Ft6OIwo-XSsvvtoo(D$WAlGWf6QUHmRT;h&^L9T5$C6d+iOQ@+Q zB%RL^qPS(?0#@hEVOVb`2QO}u!j5+#7s~e0g6thSA0|1GRQX_UPpaL=lH%F%vU0iD zD5s_WLJyyc*zMu4tS@f(C-lX6G8u_pH0`_}h^+C0In_KSJ4HA7=^EJq1y%CizBA+Y z=$He8^q)vvoj7_Sy6+6e-@d@d(zdo?&HU~#(?gpjP<;Z7_ciz9EE840MzmB3l4>q< zb|e97BJ;GZ@-qJc&H~4FjBweWIiyRB(3^JR-Y2}BKxSGjIwA4nTQ&Bz^NYylPo+v! zFbfK1Exz=r8@G!=flq8ka^(ltvtp^G@F80QubcUaQF(X4BS+IlYrzA}8nI_3zJ|;~ z2z!^d1<=dKR{1C4O5kYjF5`6b7`UZ&a(tQ@0qCT&N+ zXJKELmE=Dbg4zHDDpwAbWlS#7PnN%(ck|{2ifKkin(m@`0efxp1 zHMhN&9jGB3+CO?b+MlQT@?mrYE#v_rTF$v{Rc;(Modh|2eBZ>*89*G&kdcPY^H2kX zRGFV%S**ltt*zKNwp%trHiKnUp^NsGqwrTl&DOXK$s>%`w&X!^2}OgoYwia(>rK z$e24PcG;Z+-9!aRW$C0q6dbbPaQ6%Cq?c)Leif>416vi48}3(?L1bJLH{JADnsqH}AaBM1Qw+Q& zXXM?Y;uDw8sW^r8M#UL^hMeT-k74Ce9)h&L)0Mu`_&{P(XLIxXtNegmO+@ByC?$g=ui3t=uAxaVAD0ioAM2c?L6p zl&L`a!^qxg3w0-jpiu=(iSGRG!Y^8gjq)c-6Mb}q2iw`7SWWm(A$#~X!vsnlv5UTY zcV8Fr=pT_WKQ$IglT1bh6o=n{cwlw4UB{h@?N?U3fN8L$jQDIFQ5&5O^ehMN2d_(m zn`Bjf|6+IsO3_rp4k$b#tHRvjq-sgSv~|~4PvdIA1p!`gm+J?d2vE&jYcIe~3-_mu zIJV~69OQ9;z67+h^LBb9PV5zkEFh8`-bhG*A=@Ub%cfOqPQxE5zi`o@Q+`B!8Wi1r z_leCu#zJ;jI7U^c9|X@nx#x-xRPPfy*u?_E*fwO;pLgiAwZxUOSv(agI+to~lR4Q@ z$!GpcGDDk+ZgXumbi}duCJwM94cI4ZZxBf)^!64OA}F$Yy!BCS1O9$fKK3n*5wRGyW>hzav(Vh_UOMkZsaA^MS|5i>N z$>4Q9h@jFMt%L${WBC_xtJIsyN?fEVDm4rE~ z&23-BT1(j5z*hc@Msx_~1a*b3MCl$v6vHV9ZWvr;xCA;?GIQ!whg|kNWO`@~nEQ-< zYRe9hleEx|>>P?uX3ztmTY02!aGET1G}6=1>Ja+HRdv}X)3-jmo!V`;!F?a=ntCpJ z@9Hh7yO;NEbNM@@CEZ)Lx0r-ofETIrYq+v_z}C+!cLzOU{Y#57PH&lReVy95bk4iv zsOD!Miw675o@t<`8PHp&!loBmJa5V$X>q=YT20Xq0JxYWNhYKD00kmp{d^sksf zDqsiP8;>0RwAPm3ydmo1c%6Y zSjF`l%d4HH!#Qe{ICm$!C5^wJ%ce*bSTy~?yMiHwiHo7e=01(zY(LE(=J}NyaD{Ku z^xA-fo4t=gj^VK`eCh{DPtKEDVl_0fv?xcEHyPvdq57Pw!ufx7WD&}s7j93_2AEUp zGA2GN0h>oD1T1VT^q+Y~8wO2p{@AJ2va2YTilC@0@>uG8gA_PL`(C4Lbq_gzd_YAI z<%dd&eiJY4YAaA@hFO7BMREyfhD{+&68HcLJbw)nGEjJb73;jL4}vlY6^V1XuO2y& zL82K{9~;;}@KM4%XVv&1!j{Qs$2j(`mLLTn0p-~1uDX<0KdZ^mR{s&jyb16F-y>wc zh{n~wPp~E%j2uz*^kUv>zleeK5%Tm2~0&N;3&=}Rqx$^c*Tp4G1GBisuR_6l2YZ_0=Bjd_P zNI>Eod*Z#-X9DZ)AK_~`-z5D)e6TkPWy$$5BZ@FE_i-o)mJaB=gH5D}JEkv!=3r{1 zDN73^-shYRV55e2x^(}yVTpJs7m(w|XXN4}U1#T{SCxSQCUH5Q8)T62&4T(iifW1lf^F;% zvga8^fX{-RVNwsSr-qykYJ)mU9jAa}wY~T#)((E0w2AR34q0-*_|~h<%?k$|ql9?$ z3qyB5_9{4U?mh*`zFmA{m>#nV7={HLZ1LvYn=NL?Q`1OE!D?5Tw(|xKXj{F_=2JtD zTI3h3wQIL%=+9a`O^f-=pTA1O@`C^3C0Z1}=`Z<|%`GMWg`3nm52${x8M`DlYfck~ zIcQnE`12c?{JC8gIXA?7F&Ga(Yrf=um2|_MY z-#z}(rB1o*-q_Z4W5AOi32w~mkxJj!Cf`n$yNaXS}iYGLQ)7o?*$Nxk8t*Uo%BWBF;YTsLkepLbAC|86gt%o;@XTR>U#G1tP?= zuP?y0q`EQ7b^BC%GdMUb@ng@K8blx5%NA!H{W4jIOVQi*VF2}V-R0i~cG?~vb={&f z3*b-26Sfl7#x%duc3H{_{v!nB{^%qNq&vl{ra-8wmk24R4K!ThC3@q$M#oM-4+H56 ze}NSNvJ;HFP$CPIG}Rau9w{tg1ExaIyxT&Uq=s5(!Ax%!AX>ulrI4cGOs>R%Vte&SQLZ)g9=&{px% zxOL-+%*jKcM0>4uUE)+1?eF7h1csMxY1G8*V{v!5SzrhP{M-f_TGE8uskRw#jPAW9^f(p#DHDStcRIEb^@ zP*Z@fo)~W5dQsrZ`-Tl|$`ola`PLey&&^>aL=^?aK}_j}9QiT5CQ=JLNB=Qs^4jG< zv5s52!b?sRmSMLT!45mc} z-p>cxR7+HqMZ@&MUkusdUr7Fyy)g-s8jBqRae$*jk&XJ?2zu0#6al6xbP@TeS)6e*ss{OVBLE#qt4xu)cvy&%#y$)1-58Z{F?J}R|s<^kG(6B4*5BQ|L)dG zd!f{0WX`|rjiq`BILD}RqiQn0qDrqjswn^}{tfdj03e;h^`LE3?)%DEOlpWc$H8Nb z@;7&-2yBVwjuToY68prEO^Xfn-_IoEaAmB3i!bRpM0grXr`=O;oECl|w>i>=%;;n2 zgM&-UQ)vN8s_y!2B5#+_I0woeOgDALVM^IR34HLBsa>?AZ_NMqj5?%t0Cyn-rqEo& zUWY&!FfS;Bfd^r?mrf}C-ngb`Rp`CZ{2#jRp-Zq}OQ3Mtwr$(CtxDUrDs9`gZQHhO z+vs|O*OOj7ioyK_ac-P%w;vtNuK2Yf^0xzcoW-(>$U5HUUz)A7jOPC9uO|}r=|C5N zbLQx}%`((Jwyz7iLKCB%>P61QU%$?bacYp)^iq|G323~#o&u*87!^w8zlrEIWB=-= z2)_+)k3(7Yfc%ZN1>XjaVxrfZZmR(5VFJ`;U9g|hvl+mr9awPw&NW|>M6tm)1?TBh zRm;5ME7LGQ;AI3hTLhvpu&9=vpq(>DAFsdJu?+0|MfFOnAUC^!-U;tOiveT4A z?cPPndUIA~dmbY5tnAFUZVi2<)nEeZAUcNp+pvynfn93c;!BCY&fN|5at`Jfo&w%=!Vf4Ld`Qt!Ea^%ay3IlGTP|;m{0%0 z^IM;=&F*4UeWR911G9gUv45-Rb*)A(?cOO+auvi&$Io78$m2=)?>)YRb8qHC%}`fr6{8lJ|!ZXex?n|7rEuRMKG< ztjt(RaYTKNVVYmc%-;qDdQ!i=)M8zarqAZ&v0m+RDkE;ph&NGgMp9`pO z&cV^<4Ri({g|VUf5jFpHLM1faue1XW)&syhD5*t+44JUSD;V{Vx#`baG^97OMRgc& z(MGp8HIGh$_||Za*)F#tM|fWGdV$MH*s!6#ACIuOyrZ+r*j!(^meiJJ%_I$n9|pEj zwJxAl)*Q09S1P!DNk8-Jn*W7uj}nmg#4`_skn#n)_;=qEY=MQlE24itOrY|EG`My4 zI~WgDeKFUD#sZ4aO|Bc$VG*8uTAJ}QAqYgp`zk}}$CDgD(MJs=CmEHiKgBjQ0wp&$r%fMW9Ury> zK}Gg0xo^V#o#)&-(qF@rn=FToDh)ScschPh%(q`nwDl+~&9+_m$}`@tPiXGsk4S`P z`=r707r-JCH}tj}w@mm7G;!t~#i*KFl-jABHlSw+VPdT#Mku zFu_E!oWv-|VbixKM8f$P3^W^pkYNtJlC4Wqg}%!PaYIsomZ2f{nTG?>8`nWrRQNnO zvaKFUXC55e9X@#>&W#sB%(#mV*Gd!{8VjJW=o!>QP z0>XrA0$OYl$`}X7h;1TqwNwoVt&iy5bSF%Lh^2NL8U|-V(3_pUH{uuX)>uq>$6GE{ z_w{RIW=I2{DCaP+2vAxyKhjjDqA(P;WH|@vJu0S6C%jxK;=DN`bSjaA8!{O1l8iEu z_5g`I$sCjCSpKAV*CPT5yzzi{zzRXHGgP)G3^w7c4XMeI7)Kbl%aVP>#bMH;(}H%q zIU)h+af_MwG#MhyIAlfsNj!U#KB!Y^s+(mU)m<~f-z^_{2OC6zb zgM|OH>xSe9?Ge%y*Z#F)W%E2LK(-zQzD$}S@#o*Vl|-T8t?DSNpEF^5v)N|pl?Q)c}*)QfpnYIESkaZE=B&j0l`1f1FBIzrcIf8{23~&|1$hxdW z%l6LH1z=H&5jm{;Tx!^`YPlB7w)eg08Yf~y3(AJgo<3uAkxrMWBdDyu24lVx;msKX zk4>l?hlT=LqKxTji2W4*n&}mW%ByhA+99LIpQ13B6X@2S3`Ou{yVj5UnUY-`-B_YF z%@v6srMKl~(dguBcXTt~QhNfjRJgV}TM%YV1cf1zqTjmsQjv_OQ*Ei;_+F<#$Z9l9 z3liuM%Del3&3mVu?!*~o^p;2cO(+H2q#7&4d&g zoY2t@8U&pk!TRA4;m{&Gr##Tj`8tX_DyE^J<}-u#16kVk9}BZFCox}?w~;==Sqs}( zxmpfseAEX>@oFvuv4Zrr+hP55j0No`8NeU$-J+YtRMwyY;yAvu?wxi!& zcpxD6AJ_^Ww7-K4=YK~0IQ)O*%2+cHww+y|_hao8lOG91Q#CdikRd=3fiGV!zFS%+ zaCmR|fW**+K%Gr0-udBDTqh(__r8w^0Wl(G5?W4%0kl50X2L$<*Pf}0>>{hUTM}e( zDKK%@AtQE`4S*vV^wxfL9cT|m4EvFvNB_vx*!gZ_*dEMdOxOS^MR8;is&fsJ!eyr2 z-l>3a@YX5Ok@!txU3WYz;nl_ft^kCi5aY_o{Xwi_p%pIYI|3mrzZc2odVH&@f$5F=Q8OBMrF9egr zY$*@+&Eewj_4?>;tucIjzN|z#cBm(9^3*I<-8yE9#N`tBi<;hOwzTZ1SB9u!=p;{_ zFsOI!F_8^S}u`wNzD<6 zepJ3$t6xUdyopdoE&s{Z+7N&K9Rhg&Tcass9I1nSOTq-fN+y3dM#dTXU#Y>n#aDQ zeIQ!%u0H9}ZZ$BZ#`D+D2*F?WOUr5oxIkrtc+#N+7N`KkHE~4w0O$dIDGt&v<`=3P z^iSk3m0#f)(m9XI*}iIEHK`86U&!l&2umm_FZiBxLlnCAmWp~tBNBbqcyRY2F3&0M zA0?*-cL<{?ad&~b1R0Lnp}wf*$c)anF%Mvh@`&=6L$(H%Q%*%YOyhe5i36a}&DjB@ zDvqOORF|AZZ=e2XBO|LUFnTCzsC@X<+KFWVz>iQkl0c!6%7kwIxSYwRk5wN&&zUgx z11d{GJYt$-#?Zq&{p(~gCwnujjtndUI%(#UAOYx-Y}DNZ5S#{hGrPwf;1DUG@AFOe zwYh_j1+IqZM7rCDps{mrMJ24!9x#rZyUn~Q(@S$6?U zxpVOl8D5*My5O^E%bwTLvLgjBfi&UZ`FhSpC(12ZaO?t$NzZvIol@3H#fHXWmvRG65KS!=O zR`aF@_j8)3CbBC}nyt)KmwI}!CH;_D^D-=U_e5(crbuoH+X|Yo{ddILaZyMzdH3F9 zw#u64U*>ktGyYBPq%M(ZC*Lw7llKjWe_DO;R9!=>Y2_F**3HrlY7YPw~+Thszhl9jlQ;$N&KvP@SR|&h)J;j ztioRj=jS8whGWUv0hLI4{l=AGocgf_XA8oRbVvSu$w8%Up??@{WR|O7gu%!hs_Huu zXB64+iaN><^$iDgN#MU4>oES2{M&Y&PjEZrT>=G;pO3L$>)N2`CFY3$U{wzD(`_}z zRgA74Yrp6m6~Lgzfuov~&uW|`6PpF6C((Um9}sw6n!!9zJJ-1i2~mIR=$h6D@aMff z=+d@n_D$LwZ{$3@N$!yID!mLlu6oQJk7!_Q!(U<9Sw;YpV|*l(tAVmb)mbRXlx-oV z|15TJAv$oU&@U&bcj{B z3Mg!ms*yfGp(>|7)zHVB|4*WuQ*gTC7bhZ04m?0_^xe>12|oM|c47y;gdmEX7T96Y zyzh885}xAC0FrR(o854XZU^D`j(-bK@>9K-8a}VB&VX#ZC}{0AR0aQ?4+ z_#X$6h5f(Z{yB)OOf3JegIL|>dN)cJ!EsU*2*qQj9C{P{f~lJ9h2?- z?X}D4bi%be#m{^i+g)q6+A@GC1wXlV){@sm;##3g`i0_Xar6&jx&TA4s0Ff)N_asyNXp2E!n zZ28p%kios0uKJ;z4&J9vt%L5v*gJq=Y5uqbdtw3Q`T?E?#POeTRimTx%>`7W1AsO& z@>=aR+q(d$YhZ77Vg4ld?{#$w^(8$zySj4=-PXIJPfrMptc)ygOfIC}vr{2u4EH@f zx3swWkhey!>}BZd|GJf923KzN{g)(qNj;&zu(US01+oYA?D#>R1c6{^baZH9efhxt zq)#twT<%@4cdBn_eVc_j1DFwjHZo(@%8Q)T`v=VYX8l(~baife{zz>d>~;N~#i`QP z@oPDOv7e&xHOlDtiMBB?fggR7@0Hlhq~d7%frZTb=v7YN@0CCL1q=Vx0{O9vfBlu+`mLD%bqxR2yM6R6PO)!n zR%K}U+ywZ|VfO0{99hG=b6Wv80{Df&)-p2d;|Cs{c=|oHv^F!jeD-zxsqJL-|DE~p zwf|9n+a(OTrv0H3nVp*H`>|_GjtojBpOYD%SYATXx3&I!z56jyZ)FGO+SFVJ{*Cym zef+*08hX-WV3np;#{TqO(*I=#X=4A^c==ks)LTA`bI~5^sPCL*2%8s z0ql^0k&&75>)rjmf1geM@y$nUWp`otER9vsiN2oxY1#Q@`2x=D;N<>Q{nA_9vpfE+ z|5+sk0OIv8v9FYdE9oL!DaW*^VO?7nMmFsD%R99voF6m%YzgY&uL`#fSiaA_bu4zf zoDT!5%#&NK8)+7U56;9AO3bU#lC(|PSE&ueuXM4)vm_hgDz`DHFBWJx)Z{cxk$VZ+ zZUcb}M;1M}4QYZJSl~u6Q0}T`mUc;gA)xfyB>>YPE>7aRsOM6jhD!lUV9xq(c8U^C zE+3l&TsSBkxXm8d4gS{jr@ro}Yh>+b+>AuBMpta+^|>TBuJ$I&_6{$M@5}<^0r6*Jp9YCT(8+$|Dgx3qZQ@f-rg4h#9#T-C)k8C!e~a=&hJ3S zxzSI*DUrA?QR>2+o%0&hH-+AWfHUfTiQx<%!fOw!tU`;bVbk>~>Uy!_2DvoA+7F6@ zk}YQ>ztH%&%=RlT#w6}VTv=@$@=Yy0b9y;U--i@{WcH5eV+SJDBWnICHpsyUOKhQ- z6WrWy&yVZ-fj=U}Qp;J2dsVKyvE^l3o~#!upWQPF$`ig)poP%9=znKs^#wYBmfYS# z?#t8L%cuc#O!W5v#B|GfX)p$IXPeaNfM)6q;23DEC| zcbT5(*3ii2on-@l$~1}g6?NfZclvm~e`aZ7L}_FCV@7|`Z*fdQn27im#>#GiHD z7K413tKo2(u+y;3X)OaEy4|)-5eOojxi~3>osi!8k41yG2t4ztm2fbS+Ve)QlyyAR zRHLQ~z|qWJK37a;Wl)i%>Y*J)SSR1px7CYITY=<15<>md` z;D*^PcWnZ-a1m@rBo4rz$05w zpS%7(j`v0XwD@yAz(x{u?-ON9)`rRfO2jQI6eIcee{HiyNoQb;OS4!M zrx7jL`HhLpDH(Q0>54sVjXi;O+99UyZ&>V2*blFWR^fe?f%RP{R`zXjrMN_FRh;pv zHwzEeo^h5*e$CdlM!G#VdR=}sIPaF*cURO10kR}tqsqR5de@as5NLCugLOH7=g^j6 zP%!W_Id)4l>{&(;FgU~I;)lqhHJ0!vKN;Jj*%3zQrDO7Fu|-+JcmQzu9!fYe?9#Xc z#l9@#Z0Y7{hmm3B_^QV>jnYmjg(7lcv@;a}{}}h239>fr!#Mz|cBAh|Ba}9Ix>^A} zfW#$_bIwU29-3kX2=clfE^xOs57>@EVOhmEb`+%9cqn=(Cu8QC#X_whZLhRg9V-Ru zlrJx0gGfj85y9EG2e*}|!g%IgHID5jj0#_&axx8>AL(>^WtU>G73Q~O|9qYnJX?8! zyaQo?oJ-*jS#vY|Hw-W{9fL0a+rSt=qQ3lj(cMvRmX4_&HZKD^aEhJ|IEuFX5pf;A z5dYIcGWDRb;(j!H9L4@c^4}gBy0*=y{ao@?8QaO2&UZcE?hbayZsD1~`nA*#B?;)z z$mya*J?ePEM?!tsO59pJ1x~|T^W;%4xZPm5DN)_P(|?#t=+DNk&$#kjHte37%8BD- zC$C>~iEN2>WN_TIXVWY^GnJ1Pz~t&34ASm=A4{lKlIL729pn{QkSbJ-u3YF>KV+HG zvbJ!A?+N`skwT3kaO`l69ua3X!CMqv=JswAPY)(0KN?BFw}Oe zn^BqW0^cD8G9md7AeegthgDJWQ0<7pu32u6;U20M58_H^=c=j2Gb+C*mJf_DV}^+P zPgj$CvFwoiyMLuRPs)@;9{ab6556tpSjW$|C#N44WdCq4wCK|Y;zG0g`rc7_35d|0 zO^otw55y|>Pn-0r>f3d4Y|8+cm9MymFOAg3RG%}Tep*}^lSCEe7#x~SbriD^cA@L4 z+1e7bE*~ea5eLg;Omn&D6I@%Emvxb8mm1;zP=aD~k>qZWL&q}iJ5ouBvel8ui&Cs= zym{L`g%w1-V=)-B>|bz=l+H-0P80 zaeJL1J-0NKKvG}Eu(vLnqsDX zj)&~Z8!dExY=zh9K;t(d;#`=6m1|;YhyyRM= zH@O^b>XoEVb;yUJj08|t_q}MSBOJSo2!93X9P*eC*^myr;ZY0*3i4V<+!AftbUM;V zuCcj({ku7t7h^yV0rOfHWW|{|!V5`TEmq~dGMSbepXj7!yfXS9XypO>5s5ll>XA7j zl>r&ZB)y6-H=o>RRzKuv$CbCkt%GIp#L|*WY3ky3 zw|$oC6pWNTBlZ~jU8kQvMez~CZm%^Ze};))<{jn} z>jqY-{c~0E0M4?vkb|=Z-BrJE#b4P{`jU+Sl^=jYK~BN0G|r9B;-8Dv%v}Qt!F=>b zb_2^mL;_|(bOzjGL~l}IDID&~pgPODabI}SIkOB-!p3@mc~FA0S_Wp4FPPERU-??T zNoNvbbL04A*^#C#)yac8DKE|>rh*)HRQuai!v}*n&q6bTT32eYj-^@{s0Xu+ z-|rPnrT(f!`sr`t2QcX*Tmn7k;KLV-!|QRwteG!o@qMU>qsZ13)hHj{TaQasD^DWy zaB)GEGMKzEO!N-%?7K`K<2*-0I4@tqodqhisS%6rqT#f;K94hjv*VA>VkumA!9Hk2 zwvR*N9qautUqYY6w!71rbPmu9gIXlIU3Lb7Yy(hXD0nQq(@_(P!obsH(fW;Tt0#)y ztk0KcJK*{2ioS<) zy`9pdfD&>M>EDBxDYNlI*L^2_zyzAF>z$2s;r-wV;&s)V*|zSge;7wi^qb(|Wj;d# z*>@8n(x*>MtZCL<%?^Ob5|g^h|)sKJ=e?PH^kr?!w6myP4pC~ ze)~DI19dT|{j!+4rMg+Ait!^;S}Rx=2EZv{S}z2tJ%ZmOGbXF1HO8hVlzHRG5=34+ zn;__8lFq~#oC)54{mzA5I6&3;)1c3HC)!5UAq2mb?PjUz+sr8&5C~_m6IAmpA*v$a)wFz+7gc%&qqXSJB|?`M@*5q z5Rt2&M@h@$qrCZz9}H|*N6@hIvlHM;){xDTYL@3s8H6@KMbSvU;d&*zvhl+_xQy)6 z7jh>pv%%OvlyYs5?nBJYl@YQ#C_ZfTTyt2kmFsCBp*XDRN64(v9OeSZy@pHRl-2FR(nF(J)QaZY8Ii& zoHnb0?E79bK||=a4zkYClk?`hs07zZrN-B>5WO$mYqg3b^gBZ5jog3dC{-_C zV+ghZHbr*>@l7D?fB0LF!Ee>gH|uN_HY+ak#fD<72GpW&Sf8+9X_`Yz>PMfPnILNd z3NO59oL}yq-?fTc2R>@PA3Ki|xK9B9hjwC!F|5GsGa=K$xpX!rV#%(#B}}(@QwNXD zV`3_%Tc1QX?6R3O1lhsKd={DfA%^rhA@~E1kqqjI_JDj~hHc#;aj9b-?$!aZ5L!$p z*&_D7datRTv>@!Vdq?68$4XI=t6Pa$!@$(6(Z02Z7~~@VP%Ip)tRgOGL8m5 zi5xM4^VH+gaIzRU5CjvNdZQ*Z`-Bq@wJeFrEJ>7K$^sHrBXu5N$hqR%6=Gl!M;|cW zO8%oasl- zLjuyYd|LJJs_BK^j1(UkYiAI=7SZRyA*@}0{Mc4gw?06hJY`xpY5uO-!iz6wJ0+eI zbI0~ya16ykS8J@c{z;TS)Ue^rjtVHZx5T7Sy)^5)v*ZGU?Vi@@fya$vYdw(tPiAp; zf|F^2ZXAj0naRND$XLLK`$76!9(Mss@#|k|()59T8?G!3PwmMoi`|?HsR1N3Tg;tw z$jw4$-Ra_>`{!9n#D88jQ|Cb#z6_%XJQNa;q?jF-oaned0tZ`fodc+K|LO@KGDb|+5eY%z5!M!7C+l}<^0kC zmUG_9-%5P(r>RXN)FH-iM8uZi-66w9s3=0n!l4d)15Q4d$Z#wF--}j;0vYm2Y91K1 znLCBSpE2hPYv@B6Oii{2-q4-se_ktaPc>&C3ma9bab|=!laC;_jy^_?S}OjHn6twL zTYO_cLHCKkt?8Q8+~OhW#w3>+3GXZcP${jqNnEZj;(JaMf!%a#8rkQN4#SnZC6`|G z&$Os{A(m}7){%^Nj5+w!&Q!CIq1X7TL&gf!QJ;oc&~UM*!7qp&jD5w36Pu)r`jSdb^xl%}vHB2g@0hYS5as35K6wF7vf?>-%ZGdA#_;LSe z#5LqD=e*1zh9UeX+HoP2HXPT4RkH^m_Ez5IYBg-vif&ncl@#6yh7Y7XOj#x9HD)K% z(;Fuf@-BW?lj-G~rAa`PPyl8s+E~#ae~Px)#9wOhr=wq|N9v~H z6PlQ!7AX~|K~H^ZtOqMVQesNmC&&e@fC*>yiWX@YGO>{)B@U2GJ8B!+AiGPqLIo2C z*hm=4W8`zW2z2x(6u$+FE~Bqkb_DeoIDQnXihJVeFUyUheB27`3){sXV;p1bU{%lo zpelEqjNm5Z8dH)bmaKPbd;|+UM*Qdl8+r9y`^ywia?%I8zmW<1kOs;Q=o}tV9v}Sw z{*%3)_j-^+CtzvIoVU^89=kH$y3ZWtC4}ZRe~9@05-8$aD34Lga8u*PIrHVW=e%(- zL8#(3jS=7lwATekBx}^yhgsCUgJc@W_S1a4CX-x%IB|8DZNLRM3~ZxT zE9DaNDBwSF0Zq+z%zOijR29E*K9cWbx8a(?Rn?%wNq}&;9Gu*ges8w}F_XqcV=iUZ zQ_`rO0t-jP0Jz27e2v)VrGKxYsZm!;DF#af`SkC{(@#?67fGVb$cW8*hVG(r*2^&w zHH=q#QKA{#7Nl7KSo+)tF^O^daeyX4ftjUTaLK!NKP20X?^P3d@1Nu+cat`D5dYwv=Y~pAn4AQaVll0{HG5 z5BU{c?#j0xWJk*7d$~f9=5*r#8-%oH;lawMq>3YWH#>wttUw=++%sl}yyC#M5q^i4 z#j^0ZV7I|!n>trsvoS-&VI6zquTyJ}QYPRbjQ>uZ^Utv$h{<(Ym!OJJY9b^dpdf3S zX@OyW>ek-Qh2$TpYOF-rl@;I>NY{)?UFu)%7-M2P<~W!jgwk)AX;8%0K2!!%j{1eq z1|3V6;L9S1e(MbU5JQ6{3Y4h-3%2dND4Tawr>=`5MZUL|i&{11Bz(`|!`h1fi+gs{ z!J|&3k?L9B>_FAxm-{5kK2=r;gU2tTb65>=vR#f9Jy37lT<;b()^vdbVg+5I$&l4L z5%)9B607e$!Kl`=$Zl4qBa|$>yCaFw<6e&5>H;~Vf;WsdCH4)6o1rD1O_u8BDlLPX z32smB{C%dS^TIl1HI6^`d zFTfM>;=zOK$V<#f6D}~OLPtlKPs9*}O3?D{B8X`#Q@tL!4zN}MHMrS6lYf{(!dO&} z-3f^R&0}&9ZY1s2PQsz2ZJM4fhN7YQ`*9@AiO(Rwlo++T1p=v}pUR^ga?<9Y{~V^9 zI?*V?=Hz+`v>=Npx=gSwL|y@;n?-syBa5+VeW+a_!3?cE6Kmn5^ zv!3O{xjO!EUsErE)G(CYX&@G4M{>jQ_OTKacWdW1(+o!n#5knL^wJ9vxeLgc|I13# zg*)1+7YI_vMReMRGK|9RBK!O=L8#5awKM6Lvl?=T7H4(bYp!qhZT?G|b~Qbmss}lm zdcrbCa$u&(q!?K^fug8AjrnI&H-jv4<*L1O>fK1YhaAc53EVa7i&LG8bZvnipod`R z{=v_t%JW4XS}$XkjK`Doep(kH1&4e&4*x_`-pZ+T!ULTT516tKjt_VeKzv-_WM6?pgiX-Fs0lE+TM%807}R^ zL3t1EUSiZ}R0%6#eY4&7r8){CWE1f*a;vkmc|B=e?4T}gMY3p#Ts>^q{PS&97$-j$ zOrO^lk5o;pqq-1yFd>LoOY=`$O-x6mTz1Y;#RX4@h6fJ^!^ee(A=VZ^r3d5@$wPq0rfTOb{PgT-ZH)JmmnmI9oeM2pL{={8@mmj)_R5>ogwJ}GRACK;=o&_$_&i^}ao-*5t7s-@hzIT{U7Qb5iP`WOq zB|khs_snciA>8cg#k-G=TuB+F075zn??H)j-^b!UIHYiZ3r$pvP_E~%#veue)@8df z77$D_iYo+cSWdGs7#$=As?Z*=TXKIt= zJiKe~HP+Js8W~;t4l;%mXEt82W;#NC#*c;x;Gk$J8e*jCczcdx zOv1BIcX2DTvR*|X=T$dy1YbP;QJuM;(Fhe;xF95^qZDds`VkSoAGIL!_E+&QSOnNM zZI6Q3I=jt82p4F_c)2qF2ug$qEbdfXEEPHijEq!qgUv}E3pY=aGS$1etu^p!nj8aG zH~q-4($xYm@D^lV?|In}KAjCnN`dEe<8-Y_?!_sCck`36b5Q0C!&}R1?@|hJfrUei z;_^u>pP3JOS(hC2CGU@e@*zu+7u^8Je8pzcr%=$pXy%>$fc#S826YRFoA8P7TFqxD z<&dqwaM%FhzHN|pHk9gZt;VMQxqkMG!(weK3lz%>*y7{2+cG9J4$W(*IYV9mRM%F)7e`34xiRAL93L&5 z;+h>kjjJB?vICR>1OhL^f|UgIx>U);v52KRwGSk1EK{saBJ7&-1D`EjQdv3gyy52=J0klb;rd<%J6J*rD?=_D@ zlBMXHKHr@Q`6=m~b{qzVArDXnY@Ts<`3DmD^sY84rVT<$a8IVcBWR&}n#%U~f zqnUSLFQzz5y`*9Ho-bx!hZgKrFF+vXHlz!`C$8y%cTqL$mX~#?!-DP!g`I}Oekmg= zfmN;HXt?(`Dslk0pVx%KXk?XUaiQo|8xb2ggUC94%|2bVDjQw7=JLXeqGdcdz?(f+ z782pus$=>t2E~nD%tcr5T^~o#z2t*YTR*pV;}+C2;+3pAopPktLtiT1pv(%{-Y#xc z2K3^HvV61GmLi&AOvaQx9gH#|Ou1$<>yXVO>0%f6)-;5?-I!`2#XrttcB3E{4p6~{ zdnG=svg3JnU_>107xwGrIO~RHv*ksToa1MOo-(F?9|4p$UEeZ+XZs8xgX%4h?l7y#GWJ9_+)JRQSe8S^TOMV4YjS>bwQzB8*8e0d}p@jVKu zWDWjY-^H5}nb%749Yyba_^u4>1s?NDeNb5su=KkM>unLKY8qy=6j8Z-W;*43yt>_>Zt2A)OQE`3of6Eed-v8|D5+rUTZEy7O5e^<@T8r zp?~@`jjHF+y8l6kjf6}EQQFBh64t*iDBn$E2ZiL6l65s^mN6XQv5O8 zC=t4ogtX{ca5te?2c{Gv74~o+L~-t6t4f!}Eo_oO7y#&2>({TxU)aIZG@6^N*ZarI zLbk-<*%3uqSuzr9c2%iL$hwz@5Q#eXc7AG!T%G=8O!qVM)pXD^kZiq;^uL~BpD(~_vkIi~kI~@+5{?gdPF3vH z_2^8jC%5e<=5Gs^6um~*>@sgf#ux%*2Q`7(mqzX7M*h|x&OP?xUoX(|xUHW8V~CE& z0;%z;>FEytiQ{Xlzolo?+TWn2Uw$J6V}zKEvTI#yn~2ef@RGpu{OpgY@RKnZ0>9~D z+I4V^&uf-A!+P(1Uz9EHlYnz#=em@@Ka1_G-6=0PjL$&b+fJGgBxoS3hI!c*zzg~G zs#U{?0orEcWCxl|mj9OMOB#Mt6rx$fAx^ty8jfE%I!HFQk%=jba1tRz zD*|=sCQe<5hW488XU=FtspRp{rrREE+hE31g~~>{e;7q6!dPhdX`IoRFOG?}C*H!y zf^r6C{Rzzc7(?e%3e0jE%-%etOM9IIukG{ki6tZUG*Eoo7CbULmlZAd)9xSF1O{9k z4GK2%E;=w{jJQ;{M{g8~W7uLU?Y#Ujc4h5A9cZfxjQ$`s*a)s#-5NZ`6niA5xR-C- z?h+AZQ`Y`g#&yg=ZHM_SF+sPfKgy2e3*S<*iaeZ5+(A1SI7l<{#ADaOEK&Grqhs}> zPlgEc*RCEsyUsMZqQYgb$;?q1M5ZF2_Hp8t+B#28w*9+;s~ppblW}twFza%u+1z|+JPJ-H?EBgMdZ3^ES!YS%D=wW;bhIc6_2Kp` z(s4uC&%1hg7!Q8OL>=Tq)`+Z0l@m}kFj|e-^7G=uEykZDwN=#E)x0cPp!I&Qe11Ip zd@)w>1k2y0#RRP7hEU}hI%J3gLCiQLu?C&p1mF$&wJ5vA;o znVyxEX0sVmg@Dn$h^j5mNf3Y$V1|Uji~k(^@WCL-e#+?_#J-msIzVpfJZabK09M zsDaJHHX@vPdw~u40~7H~*i^d)>1KcRj4e<-U{2OZFXmft20jtJGOYj|!Yi}Dj(0=r zQpb1Jd&|M=o&ycmG)xfh}vx4L&Qzd)=JheL7VZTQ6=nlXt zPp9uVESQ#xY4teQU0jqr+tjAmHXSx{WPA!5jh;q}xfphaGum8Z z4SU_?L><0}*)YKdrB&wa#=3N`97Gi-fZ?>R8q?Na`eVG)r^Khz;w8RTdTqH)v0@28 zkc8Q3cUW;+{A#Qa>&nIQfiY2Z*UBS5&fU<0YL6n4TlVLCT)H(hd#V0#GrnbZH^HO| zP59Yc<)L!46-4?=bwNC{a-%1l$Mb;F z#}3^fHHzE0eV++`yU8##NgfjC^80a^Yd|E{p}km6n2r7AmybFX6HuV#ymJ!giDy|H z@^bXE8CriGAnzw%ZR)|qtX{Mb%vLkmQ@gZ!aSG((Uh+|^sfKQEn)z_JqTen!pNm}+ z?tU6AiBW~Mxr-HF1(k{ZgL9SJJmt+ke7KZly`;wg)(Sl@N96=Q2CE`klL1Vyn z{rj+EMFB@y)XwGei^B72B{1W~&~Eu0!S>ZsEGaUkEGQOA#|PkF>`$O2WY%h85FH6- zPvqJL6K>6>b1pnRTsnp%$&^cT?CoLe+{qIS%OwHltR^9%3E^^(9T8_un@>_FR7LZg zQmL8U(n09`6xA!NH0Am`kn^MsLhsO7kh-yW)q(r54umxpsG&T_979rCk3WE!$1A%b z@wpZCz*2jnO~ZX+2%)Kdop9(JH^3G0Kc(Q9JE?{_uo%kHHce%BBZbY2I^G#jh!ts6 z?o41-;m6ASrAQfUsI!i_B*B=yf_)3G{&t1}2oa{Bq#)mNPZ%aec>yI1(HQ5V$G*I8 zo~EE>DsjptF8G%53hs3^RYh)k@HK_&Cabo-{>UEwT|!ywMsS>TTJ4PaYnGT`y`Hei z%*L6eMx=f5$WgE|YQ$tk?(C!G8+L%_s6PE9MjhPN$`FKIXP+J>TubXBLLz-bB?n#} zIQTc^@$QCBS;`;C;Rzcv&=vY>6IJ{4Ts_q^SVGHU&~=~M?5Wv{%9g9_H>ij!ka?0t zz$I^l+8{~_L704;x4eU6ofqRi2x=!=TmVK+)_jhc(69F%RI%byXp69$h{-N=yW)#_ z`#>PwEVTN_R`?ownct)$+Pd5?$Nk|hY@OmvE#XJwq-QVojOJh!$Ky~FBk(4b_!596qx{*W3l;fGU z0#O??6D~0~-qGL+jGFhp5SLQRJQ(+T8wZ&j6<~O@rHOdzB)vckG&WlFs_8YuR-FlJCLhp(A|eC9YorG9J9ULETRloOTnELm!*?hc9;5~71`8*RJg=q z;<1^-V_Jjyyw?fdFWufa9UR|SBBXXFZ{zqfUs&6pUTBC0cf1mm&IXACLZA;QkLi7c z3i-2wVmdQC7&Ci{iFKCVSi2FMs$SSmgx`qjiGRgUQw%cYSPzor@+sAryFR8*)lgn+ z1O0`4b={PuZd`@hZ@Bpq?O6SbN?{Y!#>*(VM$)EOGrKr~@0E}`5QblXCeHZd35QPn zO-_ra$0iLHkUebHPX4O%!>_!xQJfVTw>rSeht#kns0646>0kat6d_HrOFx>A%K{Vb!ljH$)A zunX9iJB4eig?r=hrqY~8P;AVmkG^C`ycP8fP9G@p?g5%la}UPNu&^?tAGU-FD&Sxr z%Udb=b$}%S=CN~rnb<662C#3>Lm(_YLq#t!4AOU%>e1T4t4p;-)T!pkvUZV(S3fNk z>Y`!Ij#49dveL^lbU=93$3{8`>X6e$FN&$H->Z4+0@sVSrVwPbmuVvycg2d7dI~qz z2f>6<2A-LBkQ(8Hh#b%7BQV{?L9i|Hos37xk_w(U)A{Uj5s~8DycpA&nbxmg5vdy* zZ>fZZd)`-ge2c_B!fFvCM*aq27ynB`qMe#klG_mkI~|jYMydn`N>Q0u)cS+7{9I-I zJoTYus*35C2hhr2-#oIaPj^g@Xbpa0-oz#Hww%~qSlEuORxxl@1riFQ^>(Ta;Stf6 zn@$pYLUj}`?#d`FCU$h&s4;V&@SW-BY_i5099{o-?Pz@9-6+Fpg{vJ-Pmrl__jP`| zoyhK9Phu#2@K<0^>#_=2Ccentt6~ty-?!bHh2ntzEm<~#ZU=gry3{;8_n@LN;y1!+ z%LyT&I~}?}xog^~ABsENrp1eJ$fy=x5g9kx+aiX^)v{9mJCMep;}ARM_OOrho=QGJ ztUq%;6Hw-^167m}=gGHAO+*VNy}PNfDQi~i(wLvLMN~E&ZTuUBh(NRkIa|!fPi76z z)LOq&e@oq!(LUc>$1}hG6$cn&bz=F`se#=YM~`npnfhbAgCA=S%}xsCf56{JH-T+u ziDA!6X)K`iT+imKqR<0221)~W22}5ir?JWVs;gxi^pwii4ZC+7J=uzWJRzWWw9g({ z++IeHSU#7<-&P(POTqt#x3>VRW7)PwLxKc%4YDA(yN5tst7_kAJIy;gU1jVU$f9M#pW)DPX#ZFEHCgX2hVMDu(; zjAt8B8d-hQtu*C8qhW;{@CSD;6z@rJVQogNTl)VK(El5j{SHcwu1R^RI^h{Hu2@1~iS3t;4 zjul5vK@$pfTioR2Ox+{C(o8ZD4$@xH}bYx8&l;aBAZ|9(!$hUtvLIW?izvw zPn`~k8k?P}Tl!p{ul?vnaktESn9;H!Gcg?W0b5&?V zgI)$vJJ#tFh&5rLlS6Dfzlgw_1-T81zrnUm7L5|7vncN3YTmM|q=nVqCA+xL+11fS zD3xNiqkJ!~h-;CurT$ra<=&>m{17r7HI+bjekJ#U+~&wx>3hrP=+`;$@$t?fLk6pj z>sCoqxdw1Cr)w?X-y0Q0WrsgHS zN3iL;-E;zCc=Cjwa8o}^7NMKUEboadGC@vpV7>?eX9|GhS5xGcl9lxWllVwr{he;K z_j^&hXy@yLa>0un&92L+Hq=tz(NuiO(elo}cmCco4q# z2J5ddiW8|-Np`W`F5<;kbZhdem|U<6U#1r!J2WXK*|rKb+$hfGbbVU z68=nrNnP2Pa{p0$FbX1nwQlouJLISy?|mbI7hb1K;qfUdwwlzI-*vJ zZ`bXzvl*7^{#UyJ@9WpkBoJT(5rt4GbU#sjtt`snP@dWxjHF2Y>T0ZzI^aJ6d2Sf_ zTz!BUL0)FnUR|Nb!B$i;?5&I!4x#?A2O)~i{=Vfqo4A+rN5|<9&9O9-Z~K?da9%9g z7QhD)FCJ4qNB@MGjEjrAxq`X(-Ir-Dob(C#u59sY{D<3vGm0ek9>nHGV#uU2T`~3e zp1VdzZU1$tGKc8v5568Yga${|Bggx7NbgQ3c=`rc5n|CD)B4RoOpqUqgQzV#{Y+e* z!F|Q+fQh|_aN1PNueqCe)4Hc`J8erE8pEWIESH?I$0{Yye)X0 zXUXXm+{C%S5%;8dq_*_^+S~Pn^tmlCuq0nDp%o*WAgMC)P`SzkXRq2Sz(PT7nTu+b z^yb>+)qHScEn#4S6ynl=&0Ke1b$9#vRHbO=}Z?CGfXXVb?S67R=S?KTc5pceNuky(MMnOLI?%s47qSQTiE3N z`wvwyVhi8q_ZmJei+oY>P+ISKi)}l}m%_X{fG2B+5nmK_dG0f*qcZbCD;P%|rl9vY zqCln349;^W=-b-VVfc>EZ5OR2h49lrj|AD`LTZS?B{Cv#tp&=i-E2M{s+RFAIQq#) zhrV8S3&w_&+wW*49aqK03F{aETwL zwk4Y0B-VNrAqIY8PPaF^kmR|6*4fbt_jx{Ua(&ZZ`(z+@^@3t6fOsS)ZQ!H8MFZSm zZjd6TaX(a#zm@mtUGo_z^hksL+vZ(Rd^TFsyHnp02}<3(hL4Tw6>hn%&%dTm)H+F=DcC8Hp*v7M#i3GA(%wKuo8kU!GJE~HJBrlB^2MsE zp+F-l4Q0vt0?hnArN5!XHL2?brp!)6UoD)x2;NG(pXB=;L%lENU0j2=o}Mn-%S1EJ z3eUZ^E684lPxt92qQN|O4uM;?mZy3{KP1560+*=*6PDA-E6NjOi>fMkIV=*a?4_Rz z&lAMx-BC-dQg1mg`O+j^(B3XWFN#!MkTYmM5w&m>i*#i`us|WS=it zc=3n-*eGQ4BvXMapTb!y`a@c@37y#Z ze@0psXe;5?kCCbsDo4nyew(K2C{?(%^IZ=&X^p#()f@WO2y4bY=!}C&h<_#{eK7&j z$(pqeYro+oH<66RJM8Ws+%gnM{k3C4op82EHj?s)^lXBHazw%pvxWBeJObwJ{E1-s zNRE=+IR>BCIG$9|$X6yUUGZ8Gc2g*KW+QMKr|Z>MMj8oCuIOP$9}mAw5e~k#YTCFa z{ItM;1Sf_qRP&|$Pz8Co?l*(0o2Ku*=l}%jf zY>k%_sA!uDNL0oSouaQVS9ouZEw@qaWj9M}!U*pJ&Fi_x96g|+XOU74nU#@Vgi(;% zYhBOONK{w~_0KETHNQSTRThqVjeD&jzisy3*X`|o{b#2t1dGj{w;S>VuaC-0%b#o! zHwcl{r}f$Qe!ug3#RsXjKo9q%HQCasK^Law?6rO_H%kI1?G3Axf5NwpAUfG}&)JgZ zaja^#85%aqT0#-nRI1)4eD5Np!DLV`nd@NcjhICT$IXo56ScI}Ts#J|6#e%<(jt~{ zjY+;hhVcz1c}6qvd@h8ca}+wn^c;2%NKwc|?;7o6^y$bTw=D8she7>#9LdkEHQlS7 zj_{rY&1Gfz{R+9AL8{z=Yukprz^6srJR;(!qAhhl`e=2YpJpS&mila>Sl%XL_2IOO3_Yc>+dPJ!?SCv1RhK) zHGiEGpo2S;TBN@J4vU8$9XgG6K;IE9VHCpICvaxc!A4YqjVi!{$@I}vJgHlJ>piQs zr8jS_*E|=U1B-o(a>}k%)5m68P3XH9)yZH5Wh6NbC;^dlD=F=EasrtzK6q3zE(AV7 zJ0J2G5IZ8GK$kKhdA_{DLAa?5s1HJ>Gg+K1n&JF3{=U>xW>lG1+kv7_zm1wBS0D-a z(s{~q$xudx-RJDnyS*uY;zHrWi^f1NdHsA}Lsmmw*e@4Bla{YaR_E2N|0|Y{v%tfa z!dkL({Bksk5%C;MZVn!_JA7-yjB@5XnUq$oOiLkjMq-Et!|ukGwETUXTAIPw4p#hS zr7(*JSE&dj1n{%Qx?<2CGWwpTd_;YzE*U;+hf!VzNKf~>Ow()Xf+wHHcNPZqu9TLj zk!`GGi(8~DI#2OACv{qM1u-Lv1Ztc54BkVb*N{tiwlsr3h8zg7!7bK}zuxCJX2d}+-uEA$Aes)D|JiGBGZmy+v(ITfm%a)N@uJ91N|Lo7MO zyCB?9kVXdAd}n>9?ft315Wa=Nkza%gv-TUVooxTiH z5Z}aK5%TC%sn{kwrSTZQ?8LVB>318!SfU7Y{4m*mk94%jYb)ZCy!qx?lR%=Wn<}az z4u%8*9=h*ZeY}CPbpnIMN0Z!u_1=T_b_b`tXLCaK=P@6+_j4We=}}9^MO?PT$NkN@ zG6G8HzUyR-r$~u<6~?3@PP_{*p&{Id4v?jpm`}7+lKtwLK(o--XEKKq5C0A78Q#un zmK9H=YVk@5`u!n%z+S<0J=xc057H)Uy{4$@xZPN1+UX)m@aa}Z(e{=QjSH=uo6atx!0>>p-QgQ4?vJnJ1Y#mBB={e8mPuQS$d&5OpEq=L2cH_X|an_`hW z+p1+&BkDgPz_qXEM{hf}Tv7zlP2j{aMU)0WQJYFpC%Uz!E*Q?>ok^Y-D zWg0>{blO+~57~9y@^z4rc1d$qr=Jinl+3WxVv8hpSoPyRIW}WThS(fY>Vz;4M4m!B zV)F^w6s=B}X?IeK)qOgx#wypH-TA8AtsgO#0KW6-3K*IBm&Nq#>>R%>rdM*a1y;|? z8kj3OTK!*^){B7c9UMWNTr7XCqzADvGcki0WI#-ej37QfI0r|2V|^<)*ZD&&b%z&q zmEJRD$vqx4m39;KN_#kX58w*M&umiKI zAqrVbKed;Sm19Cqu8S6DO-NFsneXQ*B~G*|F`It!V=8?-lv$`OJD>7pjQGzN${#9}aUT7njKj3|?a`FgC0W3-kS*e+Kk=mu&jNsw;kpM+}j*0peG7RFF(Yxnj`xP9_1pB zilN6H(Mhi$vf=d3YmVbZL@%MYJ--@hR+moUU?7(RI<3a#s)0P0{H?#+-0#j01Xt4==>g zP7etZaMf!%!sVm<@h^CiwdsmXB%2b(9O4 z8JaPk8albj*bl_(#vV#{6{})X9e{ctgx7J^DPEQQb#NpFN|UgZ+j^K{{eEs{@8u2W z)B31AbUK#w3AHaFTi#?ZD~vi--^I&=QtOB94jiOri6Gw9Ig@I##J;FuKG@k1yCt{* zb5-iYplQ>IraKRp5YUxq^$@sLRI?7Q9uk1TH0y^1(sD1KP8{ABlUN?NRm;089W&?T zC)6zXfu$wm0+zCJ6iAPW>S6g}iwOH1awg5suoU>74yR=8h9B?MOt89@QtYofAbv+goN_3z=id`T#XNo;P$*u1KP^T+ zwc&Y$tWdrXf)M%=d=<^fX#<|I>OYQE7{qDNcOht+nEYPToTt^eJpN+7?3~RgVcZ5G zdjf@BpKzUoiZ2htPSa6_0SP|*t<@Uqx4tz!>5XbVk`jWvpuEb_>X*y1qlmsyaglW< zdUVjAvL;Y9`D>^A1ddci1inxT9yXyrN2+ez=Ty)V6s568Z0QC)fo*q|Ff^Fms%d*U zC@uFyukSdpIvOO*Z@Dr({)Vl)kY0L+M)RCEO|~S)$QrgRv6l9|dMpHSniR)y23vJL zr9VQJi2{ZKqRS@j0s&fti73Q2KSfJ5OB~|*(19Cvfl^gTWp#og*Eh+950M}>&Z(rA z^2lc&v14*EqTmnGGZnZc%3b(h1<)2ISUoAGM8ZbEMx-2_L(5J=d0!9*d*P2bd_1VB05JHdd8x6`J+hdWgMfTuTlF>!N!A-Ck_xtj+qH*IZ_Ex z6z7xD#N$W_Ch`5nAn_AfCD@>m`a6m=qhlSdgF7(@qPxvUR0y7v-aZl8=|pVZ;@lJ0 zQw%rPHgs1hB!>6%fDgkPnf3=6oCVhK^$0;bQPm(Nl8oXi(aa(fAf(cMt?`mg*``$} zHd6Pa66V4|(wTLG3fV!_@H;#iO$^L@^JKZOAm$UizU}(cK2ZPaETvO>HJFp34J#Rm z;_#v{N?iVJiE0O@6QuA$9K?2oJk`nU<`}|E+ITHIDq|%y7E@j!Ip>A%6lAeqCkmtAJQuCCCBa_fjb`F{1ACsK$a|1cQ$D9=}Vrf+o80(pxA-^8IXnP9Uwb|V7c zp@v$)QGB4--neW-GmwzH4s*kb#Bw2L`lDD?qG>!WVK6<{UMJRi=sht#<=9)M0Pk|O z%2!8ZWR!3`Mg{&#J%;B8u#>naygn}O@?XzBhZ&}o;1F!Vp`IA2zYuO2C7ii*{G{UW z?#yf&=q{@b+fZ*m9F+!3Y-r9r96J7%>F&B~J^A+p6V-a{ar-qMgav&C8TOgl{Sx!g z;UarCiG^9^)#(o&)?6=0Xz4kO_v9@r?O!ILstC317aJYUIoiX>BIyqiEiV+GE%Hn%S%P^dA1@1=IA%Ouam~{ms z*jM{tn)`7^$LpXB^O|*D1jwV;A3sDuy=E)8UXyo7MT)T)Em%5>TF5Jmmv&nWsM{Zn z6wsR-8nKw(O_f+6vKeeG@-yFV$3N_-Rbnb0U*}yut~1^^W%TN{<+*<5WxRa(!MSd~ ze-ZiHw3EGl{aEUk^T^Ufk>ary$))I?iRoM3+8!dK^lh8%ClRjet88xc12zMyjwR$8 z{er=-LYz|319~~!ihKw(*^B6kUIjM1eIjOdn?LU~qTh(wBsk~PZ@sSuVMTD0=&#uD z3~FW|0p5y86I+6iHxo|@XmxJJ9V$!2_}44WxGUm9mA5fwkf2XvOBLW zP|&_5uaCo=jh;iAwVtEJT4UEiERuT#w2}gSsmy!oQgHrO?#*OGhBQDH;4q12cN-%jmL1`SA0p!%dNr)8Z zefh#^os<80=H#_!m-4P7vX}_xH;3!+{vK@4#x~5b)#RS(lp$84k77PbBc}EEFmBVv zp^?|IJ!iP%ohc&`iGnIc2tmUS89y>)vkooaYR({7R2`+z`E&`rX!Ix0V)6bmTEE4; zxR+A##Y@{^e~D4_)_3@$k*SlU%Rt#LGHa5m`l5StW z;$3>sp6)tkJfXUkui{LVElsL&yQ#jn^c1JNM_tq7Zc$Sr|2DgwVR$E1bdTUAcIO{) zBE8QGurs2#O0($5Ju^W=8*7sE2DsJwz3Hx%__7qH$ffl8(!yP;16yZw(n9dOcg*SQ z1K%HlMc0Iy&<*XVhdU2Gp>nJ-oYq}a|3G~}eE@G&JxEXDOPL{Id)>02oL=v2j^!Xr zHGB=3S@Ml2PT{UHf7*i87^^&EI(69nX_~C4Qz;{L)b9LX^R#1KkbL;KQ`)A@q-$<4 z!XLS!azo^@KBmzw$FmPnsoQ+-9D^rar5uBs|mbre$Vu-r|0Fd36~Wg!xaTKw()mIHJ!w~EemxGow_`(k5mO~p%XQs z#$}&VBEnd|ZkW$$4faf&_pP~e{}9z$FOYvfsFOwcLFOi)vRZ2s>^xkTdnsvr>c~v_ zEp#B8-+|tmo}p);@8Aewq7tg)r3tg#)5twXx$)*^F5md`13jHx_&Lm^*cc_k{r z6p98hq!Yd}c6X_&YKC|LL8kezvx)pgap&}c(QpSUYnyGgKv*U$*(vu4{>(E-+QfA? zSbsvun{j3rh_;TTR)Xe-h)wi5wS!q}PJq%vfpo3HgeXx8p5jw=-n1a%b@jf86kl2% zD@6#j>=xLz$-5QckFLai9bPb_+v^_vV643iIip3!@hI^4M{q=ViStR+)6X<> zd*_vKAu@!#Zg>0W*#|~5dbRi`hfm5%*O5bvwGRR+EeA5fwk?x&PmeqhJzC-5-DN&} zee%MqeIRseB=uCuGyQHVc%&+otKJXRW_#dtF0Em#6;`;HB{Hr|^{DZr!S)GALrc~M z%YYthXp^+0BH1(G#Wk}{%7$Cl*)i_ngMRqozB1(1+V@5d8=^PajRCX94?`Zg%D$yO zgZd;F82t9T6(swO$(7imL^A2j->k#PEDDq4eWJ)T<;&{knG|F)5{Bu*U@*vDyFqZf zEUW>id)Dx1QGXMxURzHLZa{uOZ~=WlZAKkwvlF3PbwVsrSQhR&=4<+K2zk2Nhh>__ zW19CBS^l(6Ys$Q?zzY#~4q104Sj9|ot#{Et-nPs4jp1wkmn8Ip#mi! zk4@AW$qyuHb*sxQPXhO3wre>?qS6VP?{=@Jew#Y_A^c`NPPE5n`R-zG<(q|8zxDao ztQ+-?Ht^ktVx$1$q~?7_`qH#C1x?P%W<#@)>4>D%5=D;#8_vqxw}y?lB=wHw1-21y zs$ZO{>f&6=gnBt#Z*1OXq)XES)9n8Mxk??Mw|nShp*#{aY_Ak2Wt*ok~LzgR! ziot0|VxVK;b5)k-kyL}%(`41EE|t+EQQkh+dsF63Zgb+3?IFuKP>LA~Z#G@7 zfR@DEyJQw2q|LEU9da%UwJ&3jHqw>|4xnezd@Y4mEtyS&ANz-30 zCJ;8zEC^R;wZ+9OoL0L9)v4{-Ru4Eow0!U$@hatTo$OIHtvc_Ug6cCr`_8iZ0O!+v zC(o2OA(4v2lW<9}sPZDWZJaz*JX0O+{lcKY7febcX90Hu|GH;k!K*z|^>EZMISw0G==glSW}*`6csO~ojCZEYH86ppJD%aky;j8dsGau0PR_5 zeWjNdKg5`AsrH@}PD9C5?eqNv@P4W;*+`nO7W=?OH_RN)4stZa$iTIyKB%ylCorsf zDBI-a!DXp5N*DR2uC}FTzBz2gZ+H`Lxpwi8 z((z3z%;IfQ%`?HAY4%jA8IjTH)2~!_t*0hNEdRn{a9Wy;U9TPn(BRvxbNQ?5ZA5vgvV-V0=b}cH9 zg{{7$nS-%D$oY>m+3A_-nSp-D+1nU789rX)SKEKK0rXeV$-vy$(DA1bl)#Rb0D9n4 zC3}5aTVo@D+SRvoFn(lf0Z~3aNtJ_zBiBD@U?vWBU`GbT!toatxJ1pu zW`P~!{z$hyYAAG)q$>y#;n^Om_5^!Ww|Jv94zxzT6?1$TNW#&D)ZTGQ%F`Nj8VD&yQVOK$K@#{=1dC9LQ)T0 zj0ujysb<;^j=|CIr$S>=!&yIhGUgWF_WF9A9`no7aX;Z)1V7ES`z#)^Xi}_Tz1T=0 z1lzTDzGTAh(ET7uDa7{(8AB`fpV~5E9uY$iVvIv%b8g}gg4pv*2kgYqT~U0K#$z(u z-hSt#%6?i7FG>b+=dTY!+<OW5{XWzZ>6nwXYUr{RO4JShKa8(SR&o$m>8G)2%-AyNC~Sbb|tyoV?`lOH((TGWg?e7PYT^$vnkEGAdkov#3}MZ z1|L0L13#gJh5GJ?YwLBtwb8M?ZR-B2Xh5=xk7f6^Ly>LfnV372ICnp!n8K1GxjT35 zd0i`kbOFyS{Z!?VVOWmWtQbDb?CgWz;rc>f88*eUSsCj0$SW^BPMto%`5?Ez*DGzB zc^aAXKU2JZqX8vrEqa=>yz3V7qs?2{UwMv$(IX|1-D=QNPi@QVA;W{Y+{RdM2o90P zZm~L?oo=~$*Qcx7^+hr6`eo0L2n?&$``Z~m^dW(L^4wH zlnF$`xn8|baw}md!TWl5I%Q5Z&nzBhU%S9sHGN;Dyy+-VVVZ)2%;7;&E}W@!d|R{rs;o*P^@|;H*LyI03LRFYC$E@yP}^|1{y57y zV-S;&iMo~X<%;VBqlJ~eID8@jyd~sg#fm3Q5_K3pkEz`}kl28`e;{inv z(Pv-!*P!#MW#Xy_GffDnB?QMMEso*?IH^_;ziIW^=gs6Zmnslp=CCRmE05giSt1_1 zV@%>1XvYR0V~|2gi>s9FYpK9Vq@4<=w+MrEi}meV%+zTK@?_E=VMeW`to7V^tjVN| zVQ3<_@AK*zYzQ-_3+ay>3r*|o1Ja>o>if;1h&vO#I8o2t!4gTtHMY#Xc~iQ^EZW@r zauvly@wYn_n(8H`D*NM8?6?@<PscaOvQKN zYV_0m0S&QY`qZ@H+Jf?4PJ4FqPDK#upN_N6C^4e2DJEM7RrvRd7zlM#qAMZPntzHIG0CO7^(4*Sic1M@cy5KByM(~e1^*aJB>$c_u^95VB;2kZ@(LXAvrnesiI z+8=7Nm%ngL5NUHC$M8JAc;`LX=(MkI!3_doa|S;T4|u*r;4Jm*8K{Sqm9YR77Gcqg zs3HuUYO~H7F2#eW3R% zJ*y1WR`jW&sT$Yj2J!+m$tQ_{i$21UZf3;ReY+p1-!^Hs(tQTr$K@?@K9j9hZ8ctd z=oBJi74~pG*x=J;bzXBtcXg{dFvlBZ*p+zxIVG6VD)aJu6zkMt^J;YOD;tfK2 z*g0ZYl;^~4NWkyaSbq8qk-W(<=lLLRL!JrTyhBMRPd$WRdHVKW}9_v2y1lpjCl zST+0l+A@a9360%k4ihf4f75NbGdVm?JO6NB(tJ6;EhKMnVoef?79-T!go8>aCKPg@ zMdAlpyfTlUjT3w0tUFvYhhW+!)r_TLXNA>)-y49jA;6cL_2j_I`B`I?moYJ|zkwP8 znH-#CCPFA_sL6ukcDrW_2aG*16WR;BV2U3nvI8X5PRTGxn&OKZDBioyh2%g-ju%KA zC>-ruAB}t&FPVi;or(4-6VE&oYflfi_+0=RX7}auf%++8oV5kZ{6Vq~1tSv(c#LGD zd=%HELCexZij;QuSyntfOjiH5koS4G2XV!_U}Q%+(fEzM>}%dh{4yc$1OgGoK$AhGpVl3Btzv z=QT@ar^ATH)lttue;s|c@LrOkOymAgZwFUH`pD>WK-LtPq2n7uiL(onrM}s>rqo`n zmMH96rnEj=z!{1{?AU1g$r8(Z`HE7MXipOULdG@6vrQi7Dgc$C{%9`)| z&-zXKi;QcxoXQarJK)q{zl}aA%0$Iy4M__r(Uphs6G9Ud25Gm zb5iN%XBbHohw0%S%tsbkGP!#qqzdP%dCqSNc?xOw{WSZ}WD_uTDQU6@|7lncsv4P? z)A{jERq?e3#$F+nS@^?LhYw2Z>8jkNl&MRq+^?0`A5`bg@?O25Sy#s$>33D>u3}D4 zI4ur0HRh#RPxW0p8zRxnm~Oo0k(jYFUeL}fke~Bzt*k=VQFZqzIY?1)ew}-u{^_D% z71o%cYQ9Gb8G-uQYbEGyN|-vTpida?@d#kMzLR)nwD_?MYC|YnC0rYM^6T2dH=ANe zyrrH+()HUFwA)MpOV*icOxC#GpcS}b8M3h;2ccuU~*l?YFDktk>ebo zJNofId+t0u8s5a_s*z9^X{~Hoknlmz*>x^yB8K+^<7gi5SEkW=UILcf;GHEu_HC-q z{QKvQ$9fBGG9EmQhpK`1pRzq*ZVHJozdO98WB$4j6_Q30;-g-`>(Q>08Q@{RvOAaV zOmILYym4n3LrUZ^8R)pzCWAC7sYY+Fm_%~g7u+n-2UDw?De<5*WOew&BxkpvFOgt{O3X%FuKT9xOt_9&n;@0cnn zD8Ypg@{lWpW+uMq>dQmC#e>4q5aq<8xrPPZ>5pgq-(FJ^rO8?2D_ZjvE}ARz9Rw}( zAL>#PjRc9t^N?K%u`cs3BUUfA)gn)!J=_|Qp1z>EPB=?c(e~t1tsgCEDiJ2oo&4UF zR7#!XWPZxCtXdl0-qSxtL^E>}@AA!U9c;~3LKV3@VIEbsUmNU$wRk%TrN8 zmsm(c{4?+uouj0uqT93#mmU!+cxJtR>nx*`PlFUPU7+2a)n4}bL20PI^-(}FCz3!) z=s52$r<8?oU?G5dX4hwb))(fvaCT@`pCpbg}0)QGYX? zZTD7PQ2gwXi38AH<^YU0J>-Jh*VrZoeVf{4i#z|3*kQ}T=zG-JiFR+(DzXk=QX;$> zSp!U_r(z*@DZvXRF@%>lQ5%se)vXMD+aal9FyeKbBFT{Sv*DL>$fc*ZF6d@3$1Hc9V ztOGsMBRK$K5VcXV`K|u{z50L5M3}gKWeRHQ8o+&BoFEoPfN@~s1X%;T#;<(f58~i4 zZTRz5ECN8T@H4-VF?I!R5&N|*r*Cg;4I~&Wf8-v&$cSG%|KuP3q;DvhK;qVpKWUA} z-ctR^PyC)s{RW2lZ^8V2N82M9jz2E_Cm3dCCVDmwu73sd*yVqMdAuf&Ed2xn+~M|f z=f9$nvp04I{Y;$za^)w@@=I|4ME1D<*d`@2NI~D)0&Hyx(ziAODcaaO{@iu|c0sbX zj$kW&OAx@%SUcDPUx5H>$H3Cq>K_7NV*IUdze#}QZzaI=SLFlxWc>rcpE6+LV4~+> zWcpVb{6zXsA^g1VKcw)7Nd8s|f9U&{6qp_jO5ryH`}x67Ik13~%#1;bU~3D2q_h58 zp~wRCo4%usy~97@|88f$!Dsz@_Z*Tpm@1Ojlq7{&Hn*luBqeVO#z%P6F4esxj_`5%f zfE^#x`G0lbpAP${+J5nOasYD)#~@&BZR6+w$bk9Lf)qf^zkHPWmpw55(i8J9n9RSV z#QaOm%)bCJ|57YaRS4QxI|9D^*cd?aJvR1OT|E8;x+HCE1lE6J^Q-D$1hE6c;oxF^ zEJps2-LDD*s5guqY@F;3jU7NNzpnF7U-{X^zk>ML{hxHEfPIln%-}?W%+x=3) zztewneS2qPORzNnf!WZ>%IWbA4smUw_3) z&%q9qcYr6bv;7suqiy{6)nMRcZ))rSfZ(wF!`lDT7+4rN=^25ye?4Mg=VSq~FtO1y zG6Jgk8w|fkw0~a}e_~)_`d`Dq#7WN%c-SKbPDTI&GaEgy_csWBAM*Zv1TMy4YXf6I z6ZU{6xQxIKj{4Syk24s*jT!&nt%-$`nVyx4A}RrOwaY`-RyvOa{}%G(V<#6TE>2d!oc;@l|A0?3a{-AAComTM0fL2*<>wIfw;=wEMvo)szYoIF$<)RH z{5Wl9Z)^&TO!i>+pA%|-(Z_!P3M&hs4@STd{(!>D3h09!aP_~_$M4bczX8SA(8(A; z!tuXjQLJo$GFSi$`V#>=3*aJvh5a3ZKeNLBo-#~~Esd=7fjGg$2F&_7f=%3jl;S_F z2^L_0;snw)cEFX{I5|KpEQ~;)-~_R=G1IdEf$w+EVEH{O{r5Ft4%W9eeY7bTeZWJ2 z^(4TU^&f}9!UA-g`JXUYfqNi<>D9l5@jr{(j{0tvHjl$Br-O}&BapgV{HH-MGjY%} z0itJN1_~BV5Hm9uJrht!v9kh`#Xz$57ghYvg7*JD1{O|MdNx)jAR~OVBM=K0JKz@V zz%JKMhyM$P|5?zsdrX~}7)_0V>2`g~zv$pU5h>V#{sW~i8y6Qn$7Axr!A{Ti=pR5b z!VZMMzX166Vm9c%B(SFTHo(;WqeJ|q^Z$Wim6;8=r+}Ru1l;XF&(6UDVrFNi2L>b% z8}OG6s2Tp!`Ttp<{{O*(08;@{JrEm^!g8>)0wWR=Jy4vm0Rt`&A^rm4_ed=Qlq)}T ze-WUFW&MND5CKYK)?Y;rg9xBSwtsB1f`HkO$6|&-1W3==epX9x3?je~_h;=a!UmlC ztKeY}0S@_9NdcQ|Al6^S6|l_#0&E><1~?Vi{G%uq;RLb%Ds~t|IDtm~s47K(YT}Q& zT;E;|?5yZ0U?m3>Rlm-9EK~p*z);cnu?%656A}Re_an3N7sS7Z_5Y`L;R4}_{jpT} z$MU=(P0gtF?h5Z^-7HZ!940SAj{5GWGHJ8HF$df{arpSNw{2s#BD|6@%;Ij&_O?Gf zJ~cFmvkQx}PphR-EZrz5YbTX8gjs&8HYhsQshIn=t%_f2*`=D6N7FIRx!Gsl=o7$T zoUh6}JZ?0FRn(*U;QFngQPt;Kg@VS~pdG!Y!9(j5LnAqX9h^pH?{rmu!*t{D{aUTs zB3(rIYtnZwniuXPO99Wp0uyXq3N~9zz8oo-tj)|zK%WOjvps8${Gv~&} zte)33ZtBR){sQN(5UJ;kMk6-tvXwaZ9<1qDIHZ+H;O~bXirpNqp^knW?^Ey?Hd!s2 zeT2eKKpsCv=|-kmu9t7$&L9(o-U)G%~dZ!KUJaETSIphQ~Z;{ ze!wQ_wMW)%3-iKH)0%SB9_zATlw+6oxPD`vA>0VS7(D8=6c;UZG3$D`tR5gbb6>vO{zD(^3cSd{)lM+u%n+d9?Ne0~Sb~DiP?`5{Lb3RgV*-tv4W1-r|y`z#O#nY6$m7LmIxUhIbjqIL)prc;ipShnDTWmu4* zq+;PmuFD`p*{ge&hRr~{*umOY$?b^Eg`(%GkwTcSjwR3{?PF!Jl0B^oyORyJlq_t^ zQ3h$JNGIPl)(a$azG|*KZ^wL3r6osdszN}=a8lw(?MWF{qJ6bp>F_e!mY9SJi|YZ| zQS~S_HBlN8%BEfYD5`lz3cvX{6wb{3Vo*vIBoHU2R{Vi3XQVtAK7`;@Br{Aoy}p(v z8ZD-NH;ce?l+@0>mbRm&#?@DJn5!-I1Dnd{!WVdM@?|SL#q1|zNdY-+?kKLy1fh2? zo6QMhkYE>+*u;iBBHYsCebK_#I<@CyEfIwkub}L|LCzDaRpVl9wQEpD{jm7(CfLaz zDkWt&WU*((d%K5w1IDJX`5Cg6-N&;-&zi`usB**L!OM7>{5959;!W+U=Y;wAG%;^{ z<@8(IEfWpYzl0wqNC=cFhc55m`mkF$J^vjbZ=jNqVVkLlIWQYuqrQ}GVJJ#+SV6ImM4e@iN&<<;`eqHg zPbNX&%sgp|e|~!rU&V`Q#@j}07C}-1u^<&5(qaWMvmm=sc2Zh@Oj{h7h(p7_OUxy> zsNae-j6_r%bvOC!P1{r($Ikrju!*}uO1mJPpVxa5EyruvR~}2~5&=-nE}Y&AliJ_q zs_EBKLkhplc=tjbz6>mM!NEM%vK63xGrbT&hd(7bUZdfstJPnunydRY>F z`aqLBzSr8Uo)RfwbEr9~s+RDkE$(?pc;S~Y1XZuQ3x+;$hW+bsw?2T+J2RpqPKo$`%wql)?IU&$VHk5q!|AUCtErgGU~@1 zBHb(9=O3=5CytxA$?H`cW?;hmiuy!}3SRL?@iyl2!C} zzftfkw-#{M3$l?x7rYz%(YDKy?|nh-BFKxajM)MUT@ydjw}ozdbjRt(#=BDpGgv&o1;G&t6#u-?EWN~P|w z>9A^tw|WXQd^JjwHbIBxZ$-#2lKn1e0LAY(-W}Mi7?h^5vge9E`J@HXU!uzI_6i;n zxA6n1;ZWRpq+2#38b@wTvPH*8Pvti}y{i;L%8<6Mf|`u{9&8K@Cp=6UQ$B{ovrzA+ z)~av*4|{I{AX!o0kAsRzD|n#bZDWY;g43_x(XYD+qBFDCEIWJ5>FJqiwx@gO zV-N5Ocq9_OVyfwf&I7rgp@ z_c+rz%ZA&3 zbKN&S|Cys(k0^iXiECcE`jTH=u;t&zzxtx)$KH3(Z#^bl`=jqq2Ol~5VHcls+cWo{ z__`b8IWyKA1d@paF+@yyrNPx;-up3=Ky!|@lq>b18# z`naPOUiIr6+Ml@U5r6#I_D8(RdvpC)L%E|K9o+ot?lYd&y8ZaVDW`pZx^UUAj=K1r z+djVj{EIHnUU9nnqEFrTGljn$nZ7yuxrc45P5$i`Dsrm zpLN9@58giW_1C`W`p2F4h8wPZ!Hx6&_(h+Zc>Hgk^WBU0_}^Ols@0$Ovj2MFU!3%i zCw%Z7rLW)X)F`@0_;|6kuc{f*B&=F9HsJ74DHUU}nHo6g8Rw)o{&-uA3==^ppE z?EG8TeBmkg`~7qO=`WhktUmt1zx%*XU*><}!h1buY|}YU|HIz@e0uxXFI3m9+WGRC z*7Ya6buxJDoB!(B?^%CF_d8F0{;$9Ig;g)P`qmS!``Lef@RJW6di1S-{q=kQ?oZ#n z<%<{Ht}y({}GGZ+-T&pYp~}kAJle&&LxkE`IeT z&;RfvKD_@oZ+`XTdf)!l@tZsE*zk#~C%*E$hXfZq|MqWfI{w2SeDU~GAJ7}Ue)UHm z{NsmxV8=7hxaak6_}19>Km4PUKT$s8P1zSe_{tak>^+!V)q(C(=p{$}O7Xa4q~FWG*~*KRrbtRMXFqt3JM z^Q?=%bLK-{^u6*|o_z1w<4!&1vG*E2^;NID^n^X{xc?1rfB58MKYfpn*5Cc9!ke2P zzv9Qg-Q5`d)Hx47<%V;=`{OShf1d|ldDp_O6e8 z|30sMdLjFm*T16su*=tt{`1M_UVN^1;4NQ%e{kWdv6H|3!0k7`bnUs@9=iSAk9^4A z+m)9AAIM72dHM&w5a?*j>BvDECiK$G-jC;`86~u8Vfv^t)%i z?di{Xz!g9F@qaw>r%(MG=U0z?-Y0I^@Z{&d^`8Ipjp|o^`ckAV`28pU<9(0)`P=_x z$JL`BeA*)x-g?wmz5Q$QjpEe!)}OuL;NPD0#P_WJ?Q`FG#|6i{W&23?)vrD7zkm6- z%g%m&=c&(qM(eVXTTYq&g@47!>rOlR*{9a7-1F`F+di`MzL(bD6`XO~|NQ)hzklA* zuYde)S8cuTr4v_->^}9|qd!0Rq3_)B``7&Jhp#y8*H?V~i+^?AJHP+h+h*!lKJUAK zQ@izkx!1h#olmJu-TIN+hF4EkF1mKh^ESQtm>Y(#d_eIbFTVZcC;t7WPtD!q(k-_Q zAOFbUUgv!Kn(KG{>uI~*_4qf9KJERFE*!u5ov#y{@m+NdD6o-ta{3~+n;`8^}4D1Prr5O0Xx35|E!mN^1gq6&I7MK>dTj3_wr$X z!!eiLI(*ir>hGHT;m7yyzUc3+_{r`w=U(>1=B~?6yz!O~-Sd&p{A%-T=k^!>!Fla1 zNB{Ktzq{|JuYS_xf4SHF;|og1oL9R2yFckX>AH8F`;6JOU&!3^IhUM#)vrr`Jo7Q;r`P|}tou{1s zwoN}e@R0ibPP?Ifjq}v+fAYG0+2iM)bIHq_7r*vJ?;5{+`f+o=sqB2&(eMA(uV1tG zm`vv$4}APzp8U;;%ddO!)vLB$`pf@*$KJnw?{z;J|K-)+Jn7)=Z$9?lcmDJl-~Z-k zzqRomzkK4OcKq<=pMAwWZk-?c)Hj|OYh=4+`rM7b`NflV??36pH+|)?yH2|0p8w`Q z^r6S!amU|(?QLUgK7PVKzvNAqjvf7&(N z@qu@Hr#}B`|Bfe2z4Twty?N^K$Nl$}>#tmW`D4c4`KXWGa@2#azxvFh9&r7Y^Vwrh z{m|F%^@A_W|7_t~@4WRB-?{F=XYIM}*Y6#_u|;la71S$FWoUH{9bt=iNKLd&xBqy7k6eKYHCs{$si? zoq5UkzkXor1I}n|`qiyJx#HzB4?XL$r`>SthTET4$&3=F<27-6elI>h?$Ne&avge%_lOdGdQN``b^9pLoAr^N+9nG*d>DSLc=faa8 z_JQ?h6hHBRe|*#*fBgRPA71eJpP%%a)-O(f)@Q!^smDI@kH2>Izvqs7{^GIC4D^=-v~xSgK_zf?23W-bGzj$CJ$8g^;z< zsfi~$c5E2iw&%3X^?7LRCR+2GTjfndWE+ri);6oHX|jO`%Su{Cv7|=lD($QXsT;&~ zYigZpyS@O^4*`PMPJji9%Y$|8#G3J)J5HNiw|zU}Y~>9Il?byxnvgFhhm!|P z1JQ*7Ap%iIBsCDJ(dB_Sxo5}t+L6;n$H&JYaD|z>np`)4Fw~q~SIRh}5i@63NJTYp zl7jU#OoYU|kBK`sj;!B0mNL6zU07Nrun{2k0Zze2U&?8t88(Jbh=MhEld|+Qc=eSt zvS#G0U0X1GlY7kJ!(_)tPf4@;(75?xG?^tK>(-#r#o|Iuw-huJ!((gLj{%wq6BsuM zj1pl-z(9W9$1Ld7NvN&?qf4v@1ZHB*nr(zxBfCv#f>Ht;FELXFWWg$%*o$eN}|!6gN-pVXz*G!J_ZdgTb<9!`4k3HvyLMF#{MkIWkaO z@%tiRND~x66W^s+1+u&?V8@n?n>TJdZG3WM+?=SeoS3MhG&+mGDQWvVtQyR*VQtIu zpxL@**N&Z|G*8&+w0TOxLMk$PT?7kOSTr(XgN;y_F@AZl>{&myY0qY!Cj%JxA}2=% zW3S!7&1ic zz{IZAgF-IMIA_)2N8PtEme#q{Ds@^}s`^3$2c?|A%gB(h2qT0TZs@x$@kJrDggk=E z+_eBJt75U3WN`}m)|gt=^NO%UNilt9+eg*YWK}i;A+>iA_I7D+);FHTs~5_-0`}7c zZ&uLv3Q=8b`;O`}*=YGd>_pX2x7tX)8AgI$P(;-f3u)+EBeo#*tpzA&VW*e!R+?XP zxMBc<2hEkCCrtvZGb5=0mwni*q`frBHwwsoapbY(Ew(-lc`J+ir8p8T8gm9rU_X_|M z7NkB*$X)slLwuW-u)LqD$zB%NF@yFM0NXDEH_BN*2y!0CuOEat3SUdzaAWoxDZy|D z9POAP`U-%J(Jlj};SdV*V;DVPw9BwQ;BJ7aGLS^yN){jOxZU(*rP-~_PqkaK_0~wM zWm+$-0G@-YVk>~fOjyq4!R(L)wTBJYEn-W=0mWsJP)NdRLYkfzk0=p<(Fp6qQk;E_N^u3@K9uf}ZeS7J6`IvIfb==T9@ zJD}M~n+=`TE#3!hAxzh15^i00e*Xzvn6qO4DPkF5%?7XvEr9PW=X2QG4fN4TEFUY$ zsCAu-njj+Jsh4Md1#Y-+eucWa$rWA?)D>;6fXx;7`K9fvm^(EIS=_HibW@0c;F7=q z%0nne)tSJaEp7@Bu2`@b5|9Ud!~JJA{mp=f)hWrKAj-w~ddE(=lXZw{Z+9 z7ZZmfIIJUdSTCe;}s@ZbjrgiO9w--c2d zeUKH{ho{Jz`RIPgzWQYQTTWru;fN6jSm0;>Py>r}=Gu|~Cl7M5z7h>5o7ZI3ILe1| z{q^4p*A|R$T3>a}D}9)Va{#-Ue5;P2Tvd6<@#M(kqnn4D7K~jJ)mesq$WbQt%LT`n ztQyBCb>{B(mrQFRL{8S!5o&Sb6lZmgG@}{752lENW9Y)>9|pb!@CxMI8X^HNnQrUk z3R4lG*x+55t~FZCp=zsHt?VIs9n%wmmLloci4Vlgfq!Aq3eaYJQhZQASLz~+X<0x47`ht%K%(o+sg&qWRRD| zR;B~)Lt+p>njrxX;M5twvmzC6eP9-G;r##Tc1Y0L$1C98R#BUD_kqhR>D?`={-0=KTj`W;9iTOa4Owb3Tq}qrtv|9^^ z`nl2@IK2GIV8zItJzs{b29!S!RvSL647>^SV6;;Mnlb#yxi`7s%Sd8O-n;>D-6f$J zOPnC0#F5H`elW@zXI_rHf0G-+Y6HYmbpl835_z>_r%ZNYFe)1F#1VFp!!Ah?3)S@lXOX>7R(Isj@Ou zUBW*RHT(XF1IfyS3Rj&;1wD=l%McNU#3pd=gI13!2ZV-Z>!XSk>8kf>UFD`KS z5cO#Q0|0@wO=!w{)u(pbDVVJOvd95NrSfIKosM zCt@(`3w5B;J~A327dpidM=}rGUmiQU3&na7c2geu0)=c0=;RKugl7Fn>vsV?3^1}V z#K?It9;WauJ_JJCo0xtbT*`9MNhPgl%?Ue!)yP#<~pkfLB8L4ro7I z9Cb<N$-hH)E1wFyB3XnSObz~LRkX%IRAuX z5|d&HK#_h1Ax`N%7)iItSOIMXTO`qbPg)i%R^ktQEa>z;3`St%eb`@bbXu_M3Cq3C zimO}59?6A~Jm?fzw?a_?JsDY;K%$PNZ7$`(h;1DH^%WSB%t2$cme#^Ty=utqR$vk! zXvCqv(C-7Z0yqGqcVRHn8}Gv2R;RVUv-coYbWm^Zt9R-MNNaRsS!$T{<&4I$t-5@O z##DHa{t{(N@5i!<@DbI+z=(|mrV@!fC6kIo5y|&cLX})pLwQc z>LS$MCb5gjE5y-e0u)Bd6CihExq^&}D>y?um*zjNwEuC10Z;}CQBhu+0Es=F%FFg- zAYGST`{=$nGrBUMlp&{3ajOo)%tuV8A*bLVRI2ldLnp~Q7xgBj-7=y~MvgU4`up^A zr1ftgl$A(UMs|o|E>v`HoE&6(h;ubII!aDl(_pd0SezRbQ=73-OnMV)#ngsp788;q ztypqDAw1W75S`%;88v2$uz_+$D+?QH_1QW8iD1ZZTcpTbtDH^FR%g;dM8l~z(#6$~ zYi*{h{cKYm2YJ`ptpmj7HJnPj-P$io(Um9w3rYu{>8XZ8?bP@=Uy0|qF%MXrMhzho zxtaOOLZ{nu=IhN~$3fKKZhfI~&}r6YS=--fR627`YoXShLd^DB*Fj9}dTUx3Y1XD4 zI>#dPVsEO0XT2uU&9yrSo|kc`|J3QBGW-Obb&bkw2NBNM1#LvccOJrVh@V3G74qN! zO=;*5e+2HkhvVqfV|`>$U5*u#UOU};%=kY$vD;4{Cp+rAYI^G z4b6)Y1}rr6S?9u9yOniXO|;kDkE`xnyN2r-*qY)m20Y_*>IYD~wvTEH+;R{l9EGYd zNyWWRZN4rqY2HzYW*4YWM8l;q2XHV8SJIiP&(HTF0+Ol5~&3Q~P zgq>==UahwgxH=0wLICbgwbe!!X4|lo0bHny{$TI{J^GCY7_qEV&pPL49mMiRcTf{O zzz{899**4dwRFiHn8paLdd8UzvgA1x4?9YE5pH>PXYu1gq=={j(v zgUpN0aGU&&ol)5K)`0>Tol3RW#RO~?<((~2*&Wekg-fAj)fdsvnMUmZIz#*(hcyjbi`j%kac~9ZhL4&h^2}MQ3rp21Wcq3LY z0#BoNnDlCE;h<#7o3FGn>k^>o)re9rk$ZS8@KfSiy*X2F*1MQ|T5-J90b|q_ z*k1^;=0RFV^S~Oc-)_Cqn8r2%pnF)QVv%6e0}aB$UjX{ym`d{k{6iS^8LTw1^zZ}c z*lG_w#t3Yg$9@V7z-5bJiq_n8Yd>Bmb{uitfG0(@(m+=*1i%km1LF}Rw%$aKBMN{8 zT5ELC>}(I{SetJ#&Cq_z@v1c%^#vd>HVU!54a@l+R%olfF=Q=(h=>8a_0;C+n?M!Y zpxDaPFWEZ()Sk%O({)7C$I@uDF03_Y(dfZwlJ-QGGayo8P^&%UN^Mp#N7NnOLaEhE z^i#GxgF&CchzKm>-C1mziYV#3@DzA}r~~v1(+VlW9HMIThCQs~@LK)Huv{H$BWTyk zfg6)}H>Q^#i^`43a$95*Tl8|6K_U)YWSJeZtsQ!q9rEEc&1t8Dum}26IbHLWYMb`# zDP#{pgD6|Uo&lQc$PGknQyFKj*PN}id-IJ-4-Z?jASNI_)e6-%j;YJ{j)jz#xv3;>nbkiLf*4)SZSi?}+JenoN707LjacA>skV zm1q(eNE5}ok<*UoGf{GcTDlk~tE zUFS=b@GnY+qDIh4daR_!@+FopfzUuM1k0CLzU1!Bmna=rL@k%(OQa2}qN?CaSo^5+ zCD6bn`4VC@K;HX&2^H$|B?w3p<4cs<&4esXpLR$&&#*JBj3qcRbqJoC}-|L^>p4VxcdIb}BuHcc}HA)06Ky;2fws2b~KCW2K;` zk^&wW%OnLnLOrSRQn7fNi||tLk<)ppq)t=Ky5*%TFJ*Zt%S%~aYKzsH39-)IU2A3p z!i*#-hm`S1o=8zu@KS80Wbjf!3NIx^C4FA1m0vjZFUc$d_)SZ2pEJC@n8%#LMtEVCnZSa*A7Cu#n%q~J&xscR-eOmZo= zabKYY6<0!V#Jq+sIHE#*!4c&*HWXU$duroPtH*P8lTQ(tT9dni+1jvKA~ zwxWal@`M&lat%73k~1usr0XshS|m+F4#(7mEP4kMTEI#c0Pm94k3^;T|JZ{mf$R#Cbe9WMUf_rimD>d zF+29^ED8vFf18b)9=FaW}f1<5MZ6>LKh7KP%LnXRTf z6)#V#giyROmW& zD!q#+e&2R@7V)^ir%3q{C4Gp}9>UlQl9>>D-@HJXryi6;N3Ll@(A~0hJX{EfG#{`Kio(PN4~#SB?8i zDxTm;6Jt~;+PTRMnNHS-2W|3cNkvnv#lcvgN@HOTj@0mH9!x%k6clEw7{!E7EL-m-C*2m}MO8N;6kkzkZ{4CUU^xD+Ezy0C3h<7qv5tVfUa=&>F> z)}zOI^jMD`l1w3QO{y5=5HcG|&dc0}qN+%KL!QG+tI>+AZPQ}Gm};~TVkLu5L29hH zh(^8BQgTblEhV><+){E&$t@)plziE~xoMO

1-JSuH7WNK$ebuJrXy1*B6lDf#01 zCQHdJCAXB^QgTblEhV>71UBuRY=!ayKh*4rue8NEkIGIe7JT(VocdiQJyZ z?TOr;$nA;Tp2)?CJl$gMkaRqe$c;&^p(RIn>x5`Mk;pC3CF?#Kp^w33K-zBgJ9SFWchHE3+(Jx65aeYtZr)2^>+j7H`(W&U)Bc4?F8& zXFcq!husn$cAP8SlwmI^U6-D6O4glqndBOjJT>{VQfi7byRJ1yOrWH+JswAh3iY+-0n%-oblh6MSvqd% zxTWKkj$1lz>G)D~{4lKFlIQb;_1lp+pA#EkN)nWWz*@suYdC8SXRYC^HJr7Ev(|8I z4adQCO=`KM+&y6pC+yty^Z7v5aABG?9NE7m{}ni#o_@brG~*z9T*B;$rTf;K&3dz0 zZ#L`AX1&?0H=8c~_BimHNiCP8`|*4Rg5)l#Z%=x&g<5u|c0m8tT~NQ;_1QV2DZZh%C2sT^cFzS zW!WvuZdrEAvRjtjvh0>+H>f38pSTI?668J^D$>hyUIyK$=FTSz_uOQ_3`@r?9k+Dc z(s4`2EgiRX+@#}4lanRsc-%NvkX+-~{=Z-xi?qsdj>OV^OZP3^w{+jqeM|Q(-8boe zGQ`u8bU&eTW0Gsq{gj{;36&dp#4fIKbCb$IMaQ$wn)=L44H~Lyt&=?`>lI-xTA!V- zuvSD|abU{>rfA>4vQO zZ=HLsbFX#owa&fPxz{@PTIXJ}sPJGg5kK`W!N(+%PkJtqT!XZyhQ}@@(@4YOqfg1h zLODjstwn)#=dtcQ)}6&~-;JCAo576nO7M8cwAAWg)QNvk|>ajSy3RD#3; zoo=NKlS9~H*4p*fbT(A?jHAA{Y~_ou>`|3SAS)m_GGP_U8P%?jqh1|u&Ngab6s3(XxIxXv7iPq9K2%MSmD*UTjg{J1sg0G|SgDPb z+OX8dOX_%*l-jV2MoVhuG08O;pA=rtW41+i7AX`pnN1MDBLts(wuE47QSh}wSkBTX z&wte~{o7>Zk_skE{jKeZwLP)6C)W1F+MZb36O&pdEgY7h{>g+Xp2q?U-FE~bS`+Tx z5WzsRqq&Mwp}veG@M0PpFR4wkbllQ$OUEr8w{+anaZATdI-ay|Sdxx&xHaPx&lFmx z;~t~~2|^B=QIn9Ply;8y;-S+0q&CS?a!biACAXB^QgTblEhRT7xu3LdSb~!K9MsAP z-ozx=l*cDe$uAEsR(pRQ3fSqKJ`wf#6{{ida}y2B!TeViOZ<)@&PreZfdF zikPx6aNR&RF@RZzH8JSa=Ihl~qt(nhw2x;kOJi9Y%hFhu#epgcBj6$eOSv%^%b|t+Ajr7PQ8K)>zOQ3tD4AYb?md zf(X&mq7YG@OObL@&yLA=D56q7v1mWtrpo5pZ$V|oMAl9% z;U=}vufs*SO*ijqjhY4m!C@FLBm^Zq3dZ231cpjUriu6n+gm%DFtfwP?~5E=n$u(f zA+A+I%>p8D)5pY&#jP6_4V9H1ABzJsn2A%DkQb%I#|jdfpOj&6mx_ido+ z;$tD_Yn-{Y?4xBLE&FKMN6S81_R+GBCX;X&svsuhy6-5HT!X^_%<;u-P{bWS#nS9Xazlb$H7*S&Er;T9sE zQ|}UVJVl*TV7CjMj=RX4ktF2tSWYOVxl0zx6g@%9tx#B8os*_es5NTy6s-ZQiKDK~ z_Li+(@ygPiR7nD|9s^~_9@5kbiLh0^nGV#Ijw%rw6UKZ+IiaXIF$xIlD{6g3t*@wM zV=NnE*%-^l2sUQfzM?7O2$92EXJbI@lU$4>-TjPOR4Ah332}rq53u40D~_<@2%8Ml zCIhv}K$l1c$~t@V)VqW@B8`r#sEhS>r%MSaStLO1Xh9;~q*?)TgG119>+xynxTWKk zj$1lz>A0oiOVIIf+2#Q$fu##ckI!=AJU&2RX@Vt6>L{)a#Xx9H1}ts2wB6EnOWQ4N zx3qmJ+P-WL(3CSelUzfMz5=p#coW8r60OeMn($i_erv*SP57+|zct}EPrZj>4wrDn zW0Gso@qt|NO7SF)bVfhye;HLX42U-o|H6`IniGbL$0x8Bb=IQJTGUyKI%`p9E$XaA z9b44F9zA}RUP2S^=M#C9nB*GVL0X)rW#>@}txcVk*IRkLmDgK&y_MHndHquI`ojph zlceMcn>x6-Eo~c5g%-D|3zuP22P1new&Dn4EB0?B!!Jg642egPBm>K`F7)$>@QMty z!PBHT0H%aj42Ky4~`10XaZ~v6D*@+86C^$SVqS(I+oE{g3&21+b|&|mVs~! z(47F&L>9|V7+JKY36_#uN^U8+rR0{9TS~qZC118_LP`PvCb`Bz9eD+kA`8-UAi#g$ zou3NzPvt%mJ(?$SYeZn_xTWKkj$1lz>A0oiOVRPeFd`rsJ?ODA+|PPNHagT#rQ?>4FGa_fZ9ei;GVEEhY%}>?Zo%(Du>rA&A4TKGH7HaJ(LJDV`$~-PRmFBdp z(Wy6Q8)#;s(ylcrAEdlw!-K3->2z!DdS@^0HhNfJ)zgl2D|z3zTob?4eOT+g(60AZ%Suax?3bG8iq$M6%BMtg|8OjAfmT zS?4TBL$c0z*4dnOwq%{HS!Y|u0ZTTSb+%`n9a(25BqUj9ch=dHbRuQ`qJthU@tgV}+rQ?>4FGa@>!`6+@-@0U-Nv=W1Q;hlt2(T9q zu9p&GuVn4tEOock-BNc;-7R&u)O{)Hz7qCtOma=?e&_AqO4k0((s4`2EgiRX+|qGN z$CskxhhhIF)5}HnZ%lFxI=&*=bxXzZ|= zNSaeS&|RIWHK#c&P)S(=tXgxrmv_tgGSu^>py+#N=krg%|4~uSolBLRku@V{?b>qM z==kIwH{WlntV9CN#PHbK^<#KGp+8nUkh6B(`q53>@pyb}q!?9KoQN~IXUF*35q_@M zS7Yz2-MDSznzQkIWOpH|uDb7R-Lh-P&QW^1_EdG#*}QFhbbJF>?!Q|YH*nY1Y}mSK z<0gK$_E@PhoXx|-TQ=_E$0HGJBB}t_pWL=#=Y~lXSi4()-Un_N&&Rgn`GnSdAGnE$ zHEXs}&qwsyt{PY`bUoE!-&N!3`(f0Ut40x?4pC7xbddc-Hx*1?L2FcjVw6-C8Tw66 zDW1GS9|e45i53AFjFL*UW!&udNdw7Kz@KpjnKGP{4GYvsm@4evb9UARE|($V0-EM< zzu9Xv42_fTsc!bGhkA8{vnmwAT!4j=Qdf;eRF|_=$XBDTU+{8;Vkxbz8nmcx?7e;= zp9|1N%6rw=E?U?1f*dK=l68GG1ypzY!39`Z3^$uC*iTIMrn>xlQ@sgGi{Y$jeO0yI zt>s30-Cnysi6?Wdc5^k`fvj(BZy{AT%t$7=EKEc2|E{b{`MaHwRvYFWm=AiPi$RB} z3H_ki#t$+yfk8>F+QnVB9OTORVm8PZa)DdMY=yZJqKXD?kn<2fO!vO=eT6TF?g1IN z$R1Q0v#sh(1GX|b*8m+*CP7DkQbDKJCP5E;KbOxJvVPgi1xTbG_~l#)y3ru-=K{YN z16^VDp9ScCv6w4kl>I_ESHv>%ONCq>Ap6C9u857<9Cfw!4h?!7Z{}d!RG)8kTUdZ$ zqgH9dVrlm9=O7(@Xw2QLAG*1akfz|~@<`)K-3UF?b<6kF2DrR#5cES+t!A@UYYa_Q z+6SvG;K+*iqY&hLguthsln}W#z&CAB={?c+y}=jq3@qLNKRQ&}U+HvUfYq(l%>})z zRk6s7gaO7r;GPtzC&du^V0n?A=v(kIdeW{m_hM1I9|K5z8wSa##qo6PMsg z=!Heh3owfpOl*DVv|#a0+(o;RTPTVp?G|!H$bej$4;p{3n9IX+!d%)qDH;g$>Do+l z<+oDTFJcSLdSxGjUd*~dkP8TA5QP%>NE2qA1P%oAkt70M-pjcdW)H*ec}37KY)FL= z2vf@CT_S#8)C=Mph>s|MbxZHXvWYQs zLbL7Gz8ZSrmRA~j!Wtk=A9xQeD_HY%;0Ghe+IBNjpY644Iq&eHPG^AJQa&q4@PJ;ppWEM z<9b9%v)EX0;KnHXIMxKB8}WVS@W^VXIyYbM!W^A=o=&$iRd3WUtgSq+gQXb&ZNQ|J z^8q;hQZ4|)!1EFB$g=6vk(>a(=;qua;KmW91P-T&EglvVMHjq5*)(VLaX*SR$dQwY z?Of-gn|OdD>N+={6JHa@ zLX%HFunRK5p~?uE9MB@B`?yr)OJFqRU7VDGO;m!8a9i80>ST=$Xb!|cI4(j8gtg)9 z-ZFJQ9o(ohWAk3tmtf#5sL?rwljIu_tG%@{3qJ-vZ+6hC&xg?od<&?2pSEQBExIna zb^6WS$G3pf2X}yS8Q&LOpa2bAPxKV<$o4oB1nSFS^=03DIh?-i_qiE|Wn9f}2O}p( zXnniYTfk2_3*)uvdS#?_fX}e`EQBhUL@*^7C364hW|h=oqSk@WMzw~f0L1Rwz z4LI?BKObN>EMyDiB8Yz~4EkP}tPj`&aQhxeLJ4z~ls+(8ntfOzptvEp1K#%2d9z1Q zJfFA7D5eGSU@57zHx9AEOVn1p7D0souBn}0+1Z-}+F>yv z-8$_ZSOR5Uv6;w|JK7ACaC`B*D_G8pI9HMLw{)PwHWqW9$|RkqpsroSc?uXK{iLuv zLPUkguFl#FS*cgDWn5Pw5T_!BGm@Lf6U`6Fg(h;GeMTVLOSTv=2}SY5D$mrQ1e7AV!1CiS{Y{>tCU6KYk4kuJGKd%meIb zV)};nKIl|zA*5u#74zDc3eq8Kkr^KvX*H(JY3B|3kkbyx>N7Jn+M=*mLIw!ouybJP zK|}oBp}+;3TrT1dnB|l~3-XFaV!ZF%pmE>&BNyV?2_?g1#oUic2FC^K7Y|4 zL3-PgM8Uwl$?apiC&89(-`|=%I6pK|o9)3@(;P*~GO2BbxfL-#{aY~r59`9Nu+DxfqX5w!v?J2LEQyh%C|-y zw*jOr{A#`>JZ}S#YH?4v*ai>+^Y1qJYaRsn(&ADMg7ByfB=5>EffRbvl%uU8Wp?Imk!ooc(j z&;{LhhCAepjDspD&}e00gP1pLom7aP40(PCylqrwL4LgfNRB8HCl(oJtP7cHb(npe z(f)Yl0P|5ebAqjQCcCxyo#?K!yAOii5$Zm51nM{}nmh5y+=;sM-i!~7q-{IEepkY@ zgqX52xb7mn;3%w&U(WM~7B@Yo@({p_Z@-wK@`HTnP(mMSLwyRqn{o3r05~az*fT;< z-XbVih?yzi2%wR4*gedAl) zqi^mE0fJ5u5a?8fIu>GGQ{4hOF4`a|Hrk-}fZZMrkMtoKJ$;vpfEV{kcPz@_7>V~5 zuzI2C;%5bXmoQlL%^xgO8YmhB`lk2O1n}Si1|C?vvw%80ChwDGK^LiZzbSD607VnnPN-UepmNGuc2Htfcx7A_yEHJTN~z*1!wG3H_sRLVjl$R|HNlJ`hf*55dLP zXoGM=eF#@VXeUD-gGe}#@+pIPV7$N%A8H?k6Y?AN#k})3U27knYxSJ)Mt%q{XjbX_ z+`a@He04nq{A1hbJMXfwWf8!dvbpcJ1apdPj9 zy0lkf{S`@+h?P%00o43WP+*OU{gC!u@Gu2v_vkyso=2peu8U}lBu4ZJQJ22mJaCjA zgxHWpAq*8N7XVp+%KQwQTNy77AzmW!Ndb^?V`zlF2>{;BXb3ShJhZd{14y;YM0*k8 z74?reG}p!9l&VmlxCvREnxN|Z0i!{CP`@d0K>$({d7Lq+35LoGGQPxw{$vuJ17tK@ z)J)VA3}QkYxCwm11l4}DA<_dexR_D2LPP+7Q44%uHh{^Y+UgHs10w<+ z9lJ0Zr|!Y>@pU-lBUXq?{SGN2YU(bgHr(BT&wAj01Cwl9v_i-b!$cygeT-$0#`eJHau6 z%>CJLjKqx|f@1_txl1`l*ab!$qb8^pvX+6iK`7TD5=}obWAj<`#7smiF7pv$A+ZlG zCaqa?FGPb&?u8^r5d0zxWnoov*q_Xus7vo%vVMUMprqzVfw7bim#m*wPrG-Q)(;Bh zEMNw+h(j>?iW6Ao9)Kf6o z`iswv8lyvgNBkixt<_#fy2dbWsqU3ZFm_L|`VLspZPZojYTZblEbcsFBhd3b$W^Nd+V*Deu)K1){E$rZU{vc%X020hVM{jC=H2!6By^ zx@%@TY~D3KylE(3^bg-k3i}3L9Jg@yJ=nL901f^KY~mY`)fAt@b1vi|y2TL;n3oH> zX7IA&241kv$c1c_4^thoc=1aZaTq(&j04+D(385HB}QG^rQL}Ur_oA|xCa*q7g+AQ zW!Pi_Ty(<&f>L)}9O_K4)#-!nbD+3kZPA@E)PV&q2#M4J3}m)LVhX7rSeB)ZvkvF} zz65PRqa8AnS9NrT3VP%Csv)BttP*k(VWS;h&p4m*0;6xCM*+t7jc7>11WicBS;61(xibH$_Oah1p)>W3K_8r9KvcwOo7_DqJuI-cD<=CySva$X!s*jhM2#W zrcK2Hj;s69lEC$Kbs<#Lq!H5l65r8`zChE2Z2=+)tg$?lZ^>=VFwIDeh39*@BJ@fD z%y+S?rq$Q?mPPBsf(pJzDOM|iq3%x9hh7loe9&dUQl3sTDe&tXgkkj(KtRRnv+>q6 zo5A#Nz?MWivi^oLiX0qN3U4w}XY@LRu z>oA(>)H}Fr18uPFR$-fnSk*9Gs#JSj7?W)7)~UR+B`Uikx~y<17&xh*%OW82Orv%H z5t_AfvXzQ>O|}1;nrxsZ8>s0G02T#bU6!lMax(HWy$B(lqjF98qLu`|CCj&>b`kJ7 zD&Lajd$Ro=m(Msoy?ie!KV6xfh5ef|4S*@AHtWe93eQbWLlnxRO15_yXA172uy-Y+ zGa8%)M4m>)d4&9)YGAzEwb?q=!VZI&+Y1L}pl`S`OxNI41*b^~Q1ogLO&NuIcrE5b z2F0#7XKd&M8#=*;PUvB=wPs=FgDCmcN*kf+4YnK{M4Vct*w*RHo8Py6l2jFTAIyY9 zX4f|zhFx}?jRWI^SAnDKn^2OmRVYkofbS3O!92f0pyzK zr-VTI13|njEf+kDrR7L+(di*Ih{(*bz-Jv~8(FA>M?&Bg@F7Tg0dMmer1uc{KJa56 znKXJ7(Ev=vd~FuIUj>&f<}ac(H{IHgR2d@8iMVdGX6x{k=70}iTj&~=?QqMigZ-&2 z;Oz$_zp|#*=%U%#9$3p7JorUskN!`I(X~dSz5r$v7L_8W%CO|!h9!@-MSX+)X#qqW zggDLQMBbjR@2gLP&26+UtTjnEaWG=I_C%L6?F#dCAT7PN zaE0OSaNZVbH52`mEze-kXD}jyW8{=D!p(qKM#19*~AvT9A=O*(rl4scF4AN=w)`uhto8t zolYH@X*eN^V9Vun%~z^Kjh(4B^36~#oNfjDKjdPLJPe2qDs)@*|Y=sbxH4HGNaq^cHLRe)2wu-wW^RjHi07R8dC=-%~0bnQMq+OcHMuq{Q zs~ZMLPg&ASB>xrTss?z)T2+Ik^82!u%10VaYyQ`R{+x8Nmddl$sx=u9Qi;2}$pEJ& zHWl+r9^jd#Yx#`>Cb@=)0)a&0R6c3`XHfYvTNEVeJBcpnuKG4hl;F@{obeG4#8Q7t z{Vnyk#{cy$1Uw6kUI#XPmim*4nKc;180eOGcYEr87={LkGd`1CgZjgLHBSBA#2LQ; z@qHw##~EKlvr^wCRkvmbR&sB%Awv*pUHU9lw{8H|4d75NeTeHAKLam$rcWs45rrgf zc91;NCzbMuVxv*@xH})hGshvb=7Ta2ykpG=t@$8D7O>`n!mrh8;H^7fyLvY^A4FK= zIJI1Yj;CngndBbE=^WuYW2bW=d8c5V^fAxp*0Ro?&+Yl#p3iN_9qXoVL+&i$rjK~e z%ckoIH+@6}ji1j4aqmN#3yrXopT4P3U*@mOGRr65rnNwU-3_(^>4)M2WyJ+nTtHC* zY}5d2uy0NItSO%sR_E@n%r7rH`cI0tA(Pyt#05!HKGOI{;)1x?pZx;J$Z*worJCI` znca;XRXK!d53}2P2<~xVcI%pT9NGFnceP4kCqff*tu?26d1UEEzBD9sE*65b^Ldf0 zTZR1PWXn|4MKZ86KNe$icJc7Xuu(M_crL25>=fusy5E!ca; z8Rl^6YqG02#C~(O2hSypnonWt+x70;d}pQO?R%I*N>Jz`Aa`CtXs;gl zmV+zZ2V}?1QIc~t2}tyqqf~yWeZXYJ`RTMiz(`6V6OmX7nwJZ5p#eHZIywB9lhom- z!A}mqpZ9YmWC`#?fQ)GKSlqc1%!K?R?jt{pfj^uyd1?H)%RmnRIx;vG5rZAaIiK=0 zAV_}!*+B|e3MS~f@e&JgIRgSRC=yB`9_l)zjfT6nyvD{PO{~_T(}n(ZfROxD2A<%^ z(JV6qIP36M&KyGRV9|;626TLXDH zb~wLO&LK@oT780%nMT9uWv2M_ah-l9{dT&GvEl*>MN2M(Fa1B z4rRRPAtoYHx1Uv?rsNoEVkplpVL&L8S*TP!AxAU@W$q`ypd^=6QX6j0ey+M}q)1pL znT?`XhRq`WKP~SGX2aofND#gXfkYP?2<=#(%DTBi&U<2ZuG?KW-EpD^xmJ62HE>X+ zRnY4!OwVMeD%HJUR8|{6B^OSLzQ@<|XpGdmoi5a+^E+$p$|O*0XrhH!>R2~(l{PUo zKz5bUU5QS3Zyz*v6NPmY;W=p!aX72GLpkF)9lIk^v^$)lUZkz35Ud|n4~pGZi#?4>G;Sj!tpmW9As41Bl(C&+`y=f(vbtkmp#oZT zi2@b{ZzptrywYvgscJr#XRZ!gUjGVp`!O#)P%TH~s9R(r`do3r6I+~)gNor}h7|K8 zNx)`o`f`)4;8HND7^s3oV+>XS0Wtt?Mhef2WAu$?K_A| z*;U5fg0w@{=Rs}#NcRO^|4w{3iTa(XPdUyxzd2ISaAsS~LKz(_!ovy&ACY@rCS|AR zobMgOIq3{`-LzjOp+TmT*@P@}xjXoXs$TBy*k+P4 zwv)vUJs5pjg0d`{{uJn$lKzx7Xl>WS0V`to7UzJF1-o?DaX?1qt!S`gnZ%aO0byk@ z$-3(}plkutEx4a$@I6?+8s7s;z$4H1gz9{Gr1&0AW@hl-JR537jbfxE)dt@qC34^m z3nC0TF^C1p&=cRI5{-zV#qnD(0^oZv%*;s$zK3O@IJ^nIN9an4w=Ae=YT$d=u^45* z_Y~zQfbZcL>bMKeq9{(O%QkE}0}3%)bdSD$pak<+_$Jy6a?2!{&a70INf@_*vUo4I2ln0rHqeKro4(6H z*AVwfcr40*>A*X1FvUBl9wajOE)hw`H-CtU00Tkqr*C>cmhMGSKt8Qf%)OF z23`@;k%0B5;E7fp9{7Xsr1fZ4hp#590-LHvW0BHoW(%jX0vV|L0j7EQE-) zAz73X2}xNV<`}s3m$(GgWIN%S;7IhEiv~)#}a}a{3iellWm7@_B49KJ-1<82us=kOH|OLqGyk z-xPL3xEBqAz^SxO+(mMF7n!SlOjeLDB8+dgAu}oS^ry zL}B3v{-u7sSx2_4d2SQ{JdmI^C7V9~XNw zvcqS+LNOOW2IxUen1^`Q171NUAM3?nduG~p)|N=x(`yos$&I z_ldAr;xRG%UTBA%2cD4^9~zI zRKOr1HvFu|TpH;ArQr`ib6sdb!T9Gw@M%E_ivpWyi0z5AqXs6i7Ix{b+(nDPccEj% zd8&YY-vh1n$;tvUc+!m*adb98*I6}IcKx5#jpM|~W=Ju0xKLA?vqPFqAXXD80!gDu zCrdi?7onBiN=s!YXgM^c*C?A4eQ9ZFB$u=ocpNCTA?Fh|u z=t^!he%?Raj zTyxAj(4Es4hsvnrNa>41FR{jW{1vWOvY}G?RzVe{)KH9YD73?*RSzKyqNS>2(L!?y z(KPJ38W2ZF;Uf!8iAChHEHn+J!W!aHNG-&JCfef~B$^JDzM2%lq0+ZX?Qf`5v2E0r z&316f&?xP1s5HDJA`O+*lMs=TWQ&36q81N@(*A~QyMZo|_BRxIY!Z=%kauwn7KVmW ztF7%(JfbvyRv2o9p+HI^r&iBv3PF`n^lm2%6&t$RT_d9Te_a?FvRRJm7jrkt3P_hq zdL%di)1Kt8*mlRLuhenEFcNY>h)VKlMtvb$-WYZDcN1p?ijX5MUh=(c)}!i*`A8Ea z#?NOXu&k`t+7q=(yKNjVS3nTzmcRx=Z|({gvc*SUgS>Ag zj&WIW$RR`VfGG-exK!l8grq~R%i|9JGzld$1Zc!ez+}S(x`%9+0G4B&OG-m!w1!_$ z=dmFLJxjI3Mhg&^DDJ3liH+i#B{o#Wl3ya(P0Sa?*Vr}*Z@$ifaJ~tv@1fySAvc@ zW%Uy;r|L$#am)||r+^WpgcpaK(QRjK+;i4xqvPXau)|r`&tC4864stYc~FilIl*lz z|D_PyAPtS)6a9oZ7&N=i-hS4^2%woTfPsx(-1M}_XJ;T#->j5QH`19Z6!r=RF#3^m zFkm)}jIG_U4Zuw9As_Mn(BzZA@YzuZ21ZPMScI5D8<@fDb&P4+y7BCZO`|k01}KFT zSfrRC8WMhB>NkwDsPp z0Z1Zxd;pY@(BTb$IQ(kp%(g$O6Jh`ehJglvjfJQ#PM7cof}TQo_JwR+Bp#J9>e>Uf zkDrq*6~Y{BP|DCxX1x-aBG`98X(0bXGMFoyPodj^V2Vrf(~Kx{cz?N_jA%{#6_9A4 z(xxc-00k<5gkU`f>W8kv%!J%SAf?L#Y@EpPG=O82F$5$75Y>wz)W}3OQBiAOZTRP) znbpgtYzx*^K%J|Ux z;eMe2P{_-RY;yQ-xrlZkk;UI4eDBBxi2lO9pUTkRjNYbxT_j6x?E`-YxbvVp{8fbB z3nY>L8ZAIbgSk)sE#(QeCKQCJmEzsK1#Ksj{+z{1xp` zyV@rs)`0k1;<0q`A3zbqD+X5Ha^XjYC&n*$@`{`CS)OO2jFEx`6wjh)b&@lLcD&iF)VuM{IGysLO+=35qgO0GOZS$aT4g&4MiYsr5-i!Y{L)GRN%*BH z?>3(pRgFiPB5W;S*vEg3C%{K;T)Yo#11(i?s|f8J487;9ANVXgys)K5l;fIawh3>=8SUe@GPwE_aSor#3HX$&_Y{JeJe~aK803^<0G{>}m z@IU~yfD52SqHch@G=f0Q*qSnzgqRR*(lGWkY1&^ojoKakY09J_*!@!733$T5mSNsa|i`5Iyw z^pCmDOo>Wh&S`Pbi(R&JQc&3_;sR&yvtjRxWf~mFoEWpON+Cj&#TX8%#stLJr(mV z&y(DugaWN7FHc4t4R@ncuow^lgSe(ii(koMOFS?@@j&AB_%;+v%$@i1XG(V7R8=rXfGcB>}`Z^Wm==E~lX{%3wDj7J?A#6Ml zfe^FHk{c$jVrJ>!2MUInC2GXyHU3LH98es58e(~1H-&8_)GwgO#0V70Xpx+YXg4P; z2L&q9OT`I2vwxIsmU^fCokwqd^#O#Vh zqzbg$XraY^8cj$ul)Vu|u85B0AehT2`G+`bAy0?hZPwX1QH@K>$$(@axbIHxw-u28bUnkZtZ7W*OU5XObJ zL)y$BB8IRH%MjvBxV+IdeaL~1PHA)~qGt$Q!*{3*E!(^nIF^6Q8gM%xIX{<$!$ki* z*oui&=lk*Hi~l`Z4FSYzUY{$Vre|E6pDpe_*> ztV^(|=pVsH*Q%`g=6BQaO}4@1$ORA{#%f%6+%P^kFmithE(J5agRbdY?;EZ&^jqDh z_EjDA&0~&sRXqhSedB{2f?R7vXbSokQ8#Ed`VdghP^#Y|AmbgGZqN|mh%Ba4{-rK) zw=fk{hALBIWr*4o3eYgoOQ>9)fl$q>Z`%0f8?fIJfM^x1(Iio8bdSCPbcXK{Gy)<4 zDioXwDfm9rsZ?Ka5cJLMQLqLz(b_jbO;E<4(L41I1|6HUm~@%|{X=l+ztuJMn%brJ zjL^fCI@`PCsPpM1Un3o(-YdlTxLW`D5n`qNYD|WrzE!{8KH)7 zy5>`;qZhLV#!^q(07J#-RJvv?C>I9tAaXA3+7X}#R8E-mWcxaa> z6_MAPAZ;coiiCOvFis>qIqbg}?8B}r-fLU9i^f4iTut06iH_n$XnQ4^r?zTAEJUCR zdPek*o>3X*Jr?0bU@+DvBk<+y?_P`XBJ>7Dc9zSF5G+im(FV0cAA++CvvDFFOpY}E zg2;#>Dd-E6Q7(u65&2TjR5_}zNRN6(#9Ll78B}9J-=H$wU%o~;+Ls9)^-cHH?hd$_ z7op$O2jbJzGxbg7i2>j~3ev~#md}}&g76>if_M+Ule`GMz0Z44HEL4a053&9sNag0 zq;IN0A77GtE=&b=ZiEH^h3UkIZ+fagR^J4YdY{gX&=gU5$&EnXi*j_2V3Y7sJqnYl z&|)!e1Yj}*YHIZF0lASy>r-0?@tcTB`rkt0(=XW0k2RMmb(a5Tg*BU`$Qki zU>P11G-3p}8acYA&4iGh4<@BDzn`w@S$}cSZ&i+F0)wQt!yS>0GBc@0g}x~YjY2*8 zrph!G>YK~R`xq%+1@w$YjRuFVRlR;4tP-v#pV7Oyj6{L{^cLB#&6E(3X;6wyH56NV z?5wba*|dfsRMy7WY~#2BEZ(3^<$g%Y-Ynj@C$lWtsx3IIoYkv?}XeHNA?XO>=2YHnn9j0 zCR~AD))qQ-$Q_(+r8iJNhhWJjI+~}W0(xwAl<1q$QPV5QA)_gLaEr?qDLGRj*vOR;UV}n$+?BSVPbBDGpCNkhP`QO*AF$Z zO6w6x@(7lct`j6$j61ATePZY9&0c4qsRdIqL>nCJYOwo}SHCf{biRkxT{N>B#<#9r zcQ#wFCfBG6c8C3FvB_n#)`3uWrFuAoptEIk4uRRR3n6-k*+XepsP)jW(bZ=VyHLM} zkgqL*zSxA*ET#vVLw&Es(P_Tc>^eM`&U~-YtuHhVItVdSuT~l{ z<3k%yg!*}7dP5-bn>a20rI_sSE&X}{&Im_APj60iw6kDAMXVTg3 z>~t#56pt4XYWB8urZH~J7dSK6^~J_d9<&(DIjNk$sP1)WRGX3{2%-?_HpCT6Db%Q6 zz~jzd&lExsGr$o7Ntr=&;p}$~I0u~z1xeAUsfXwg=~(N+MtjJID+-Tt88c)~Ok&gB zv17y7wmqk9uFp^PI*2R2xmDgYM5fjmbBfdobxj;Lm?U-~9t?-Udg?e_FmQO-8PR5G zLt>t`$(h=Lx!UFIcJ?@DW6p%SBGObu$|g*wrhrk`VkT%^#O9fG8dAj}XIq{>7% zR_mD1;24x9GMv9WbRhj$gceF&V`y>uKLq4lMqJYBm8zRap@l1W(=%SNx@>Ulf}7hR zu*<`7Ltq!2v`y?v5WFoLcaKg^#;|LmHrrbSyAW0}+5oT{Xd5Iuh!2KbkV@#t6_(8n zKu50hEkGewAE^e}5ANJnAf`}F*q|E$@yv@&6)~4Mn!=2PlvS~*Qqk2T`n+@F$oj2g zDN{w1%$%+v(0)nLXdU-=Y-~IFge3_!xps6gH=ON($e2p^Kt(4Y9Te^=x(v6-;RMWi z-_k=`hGx_fvDM`7loideFA-!6+@=nY5=0OOv8g_fvN%MFC<_7G=TEd#Oy)%wDR7!l5a>XD#INQT-kt-ZTWmbhDp_tOxA^ z53&H$bju}E)u;=jy>72vAJGOAA%nEK;`wB~xp%JBZmxzIs8)GB!e3SATFs%g&2GE3 zP_JTyMT`nLV|~aeSp;E{IU+ji5Y0RHES7spbY!aD1{gClDI*apU%>jK_lbJQ&C#vQ zPqkaK_0~wMwHMvsKFVp_UTL3SX(B~S5f20*mhVeOcZBVxHUJ3!*zMHkD;=s_r$LzR zv7(*^LhxE~$lcVnq^yThaAPWw#7Z-WPKRNXoEA= zYh&?4Oj<-lxi&IRpb@c5_b0TSc{vT#TdwcW&!Wu{S?2L@v(O8YB_kcTa&RtK_*fjYm^-dDrA283R< zheK5b1~4fDwOA`KWz<1N4xznh4I%i-9URJNydZql$3qYAD1$@`NakSIQJ-&hDS}+s zA57HNQDv?NtU>{|-2&%_%@4d{G}h^zfyHmih$(NA6r?)8UTMzaCFPXyN>5*>@3Fi> z)0+Sf5&^px92|BR>TL%*1&un}Evfx;Z>!VV-`RT*t0$;8_tiUfM5d#qBls0DXpLI6 zS3?uU{&?`xmdM%Y&9*x9hH@L+OQX`RU&uMrFl@ZdNgPP+6RgBU8Dm%C$Uci8+69C~ zZhp4bM8+SS#|4Dl%0c8e1bUS^t(h+2M+$butFp_3T0!l~RJ}RW>Fk>yazUnKdTG&m zn{o=J#T*O`q)UknNtRR5WOS-?pscXW;^{yTz`BfG7;vNrH79AEkulfJVWL@BWSI72 z^#O@z>0SBqbiLE9G^?1{RsC26Fc3`{qs8h;FMlx}`|FKP3(GGo_d1L$azmc3%`}O| z%jol~_&46-%QQUt%TWwwP_sHw;HzFVwX32LY+>|nrw)Au>e*O z(GShpiJrSM0F-(+fTx^$jApVFB72IAXc%013+W3*q&EO9UVwR#TW0@-Fqljkdb*bc zSX4sCMRRCh-=F$V;UpqJ<2#rcSZgq-{2Se+=w#82U^TfeYB$goiVz=_z>5OOLz?4C z?Jfc)xQbQs5O^vfXaZ6cAXA;_EhQQ*NfQ`S#0jS0&!Pl4Ei?lc7gdFBFzU*A&|enH zJ-~!Eo$-?O2*y?YAfY<6S^>#ksXH{Z0z7qx2iLqs!z+6wn#YSo079Te|AiuOO?(CF z43a#Y!1tHihyRKE78nJ0Gx1wSAuGxNAm~Z7b`yt-R0?5k1333aldOP{f#8ZVf?84H zPf^nJqU6Mjl8G>YU^*Hn3?{DVCkPH7qL8fre$i=YpQ6sGIWQ;EXo`?J(UcrF?&ky) zA7b$sAnW7SpE3ivI2MU&8WM0E<|w-Z;jVTX;>}5w5(=Nu3J$a_nAeK49K12PlCx!@ z)*Ke*uN*BBx{3ZlQ=CGfXxoZyYrI7%xp#DG{l|P8@0aoH^!F3asP{vqg>xhy*t@kg zwJNu>sn(qB&f%EO;$V^JFLU7X)4u0j@9$XHb<|6L^wiBKKlKlPxAsB*SiANwU-ZGF zGwbf1Ik}#>cjkGS4?XWG|Ne~)*M8<3Pd)jRSDtmxcYWsHumAGLwtw;Z>p%YStFGHH zeDdiZ-2KIWd(zI~Yd2i$Tyy`oee?PW|CCEVS9s28FS*}Q|MQ54T?P|i`9hgb8UB?T zype(o$9+AlBu?&8OqT6+9Env*LLm#Uw0GC{O?HRpw`y~7pk14R4Gpa5GO*s4|6#wO z>~}L+zE^?`7{xuM|FTVSFOMTKl+?yODn|&fm&3g>>7wKJAfJxigYYU*7iMU&_rjf? zEYjk2UE<};ceoxz`SE)`r8kY0^C^Hv>|Q{pnAkl|HX6SNrAE9Q$1{tSqpT>cSv2aj!_H_*l7e@}BQf;v2IZ5}PF63#m%7T#*8A z#Ojul_X3wySd_*{}S#>@Fc8Dn*W#JqVf^JKAdWDgau zOJ0hxdtROho>|wUWS{YSWHXhxM_h2MZa{l`{2rYqWA`}EWb7WtaE{+2mO6H?Nc?pC z9tj&__egIRyN7()iMl?yJH*TR6ffFr4=0esJCOQ3z6L$NoP;@WiBg*F1%49Ouw5nk z3m?G5I0vK}Hrk^fWL!f3slB}f-Em?+MLcoh3}WRd6H@#hCrgc$V~Jes9tT2;-7Au1 zN&FtfQiE@ z!Vm6Tim?iC8&IT%sJs1B%r}N|i)8oadAG z$dxHxH#yG49>nJjPU3XLHsSMJI)=yYu~;T{uaKZUKAedX#( z3p{U<_u#ajsGHe@4Do+CgT9gt1lVzK^M zEav`ok@r%z?d>*2Y}fB_npbodTq`~$!OBLu?JZAl`}vgQLMuCZB3^+#&zawfZMP}o z9+>N1g-wlzXm?XOp)f+bu(@6oeeprAaT&;UvM_lTj~`=h!G^Bwhjf&tZz7^-%%jPl#|r>UL1&QHmeIS^dtyi2aj-`lZJ zuJ3MBCy%SqQhc>54Ve35_lQFERV6BUSM`(HZ@UsH*-p`wk{bt=m-`J?^E)o8s{{>* zzw*V8ZC)i^X~n|K*oaCoEyE7JY0{ZBUiRPNo@b4rzCe91nO$=>!KA6fwd|`BP04l` z$7209N^nb`9X5Aj78=0j5sY0E2PraoAGg~lVtAWhS@r4`ElBMt6p$HMlE{|Tg(T@3qR-2H=bU3*Kq zJYOmv!I1B9J+U??IFGctFbR`iSYcb*0*bjRow)Wj#!<3F{kP&ZSkW1l{>+H%j3EzJ zd^MsyWRn3z`*MEV(4v(zq2ND#QLy`F+~R@+siXAW(+0V)l@s$FTgIL{KSW+IqGTvm2c}aZX z)4@^};}+7c+a>Sn%aW~j74y)pVuvu+S@qr1XBrKfb{K3bbi{XT1Yluj>fqzP)Rz^P z?Fi%gJ%YD>j~!9;!y1iMjBHG#jCsH&{XV{fEm~`7Gt?M1P3=MUTF{jF!WqvoFk5}E zqp{e(hYPSNV<$TFLA$-@B2}s8=gGtRUKOi~&Mu~u-0*5y{T`JU-^-&TdGmW!6Db+6BtI){K2AHZnf>RUQqyV^5GRU6Zglm9M?AE&=SAaS*-LddR>i89PTd zxj%Nszz0~yi!WHCY5FW;lHaQiRn1Sne9D7ePFm~*3ZVDu&UP#wB8+Pc@q_pdFMXWv z^e%f9RyxnSl__)dt^5cWfv|orOvEWMaq8qD4oIHYikP3JGuHW$+0j?Kid$Uvd-+G& z)p-w0CGMOb7b56)C?b|R1=fBFENxruYJb2STGzO@mTUMbcthWcfex0kYUXw#Guigw~iAt$vv-%wqDPpCQg{!kmf_{wMGK60ow zRYzjnd$0N38EMkgDP8$d_M|}4Szp>>?aN~q_(|-r9ae0pl6?oOSR|}`h@B42^?>CWi{IPQ*ASi*gj(m~ zIl%LI-i2ROR8M{6_f$Gx`@+uqdC~Wtw3jJlh1b5b;;AeA-jVqr9F0rba4^o_`g^d7 z<;ti(Z_ups`@nA656(gTUi-DXQHs~BZ_-89QpG@FDW4Bjy(>N`pq)0Rc9q+Bpj7!i zf~9FU3FMaTEz#hTYYD5E5vBCRf%dP!=845!s<(x)trS7 zg72Tmy7a|ib!G#r_!W#o&+iZ~4jEyuwr_Aq$qKq0#{}2c-#ffblyreHOtPIIW2~Ey zJ~6wtgDG@bm;gs%RB&Rhi^C|^#{kfa#vwJKe5-; zdD`967l%;{>$v0T=K8`~j>GEA&>3m+5a+!7Mp*50%9k)%=YkyHb7!8u=d$bD{sNOQ z_uJX`Pkw&v+cv*r_LLj6(N;F=81unb+F|k!=KLr2W87KSzxe70rZ1_p_Lae0@%G7T zt~jd@Mb1TfXZdgXo)y;4(f`W(AFSfLp2aG=3D)a-7pBcQv%_LfAF|QQE*Zn5`VMEU zzen?&*WVxK4D*B0Zgg$Rp%Dl9d!&8x6{Bw6wV5IQzu!og^xu@^C_fK&UKWbJ6(8E@ z|%?1x?Cpwbt9GuqoUMsJ3vr|9lTe(NtA#{!*oSk~XQwpUk=--TcJO0i5 z`>AHadR)dBY%1Rm`M%Ts#6mU=b`9PbEMwP$rH?&W+Q2YpeCu2;j;GVsn|9a8jXJUL zaRwuK^E;dYt$ShGrF}4%W9#Z`GbA<#{Dswh2vO?vw*U_PgI{c!sR4~VkF*zyT-#0G z)*lS$u%)Km2Q;W$gR@=OlY?c>>|g{;%})|vW8nu(->Jru-^QUyOdeE?;aW_s8@Feb z&&FV1tv1bxMNZ&ggnN!Fouf1(8=C~Zp8iTm1`B7&1y&|e% zuR-RO&1DS9)Z!6qU*`xTwWFQ*c-pa2ChGiBA_*p1`_5{_@6BB5oN12PL*_890V zD{kSryUJmHA&HBhrHY4)btK2%>M_ceq5!TXH>4V*UgadGZZu~}axR`KtoaFi*BY@q*KhNC&e~QUf_a^BwIc>&kmtB}j#*)8ujz|2MFW9` z`aQW|H9w)l`ZmsU%^45XoF$PKt@h5Hw(~Rg%G7H;!|iE4aAfnqLkfYYdHmb?K+~`D zp83zOlf1XReEIx-yuI`6zV7eW*ZuPTdVTqF+1}rO`SkPGx3AmRuP>iv*9hdk9jv6w z>+9Rw)0@P)FSpOXO!a_Y|NH*UbzL-br}}UI`u6R2|DnSC_wWDwq0TZN-d$&9H-7v5 UyxoiNgyikhPe1+rpa1yuKe$he5CHf$;GL(e zjQ>^jVfxpG{r8bS)4$Z=zoI`(%>TXcv;0@_v;FtN|1Wj^ugL%3;maFYDZBh*EdTFj z(bCD;g@A+gKU+nXe+F{@VNn0G)w@oYmfw;<33>gdzHw@VXy0iKj!(Q(C?-jQv=Ng; zEA6u2xd(n90P+3KzAViwg>-8hHzErX>5Q!G)ZgYhP2C(;5Mjh5loWYO$ZWSxCPhq& zX5j;oM8+OWMp8<2DXx~3AS*VF7L?S2KK}r{~rll0u0xl$O21^2}5w4QVf~XmQ z7p@=nFS|F+CIilmc?uS$F#zMa1i`$sxf%~VjSmBzBm5svdNqrIC`Jp+915pBQYBfB zOA*qee(Cx+XA>eEw%BSScWCBr8 zJD}V~I3l2OVl)&H+I$i<%$g2hvP4mEh4}@*6$)XX42;9Vh<=KreyjoWuu36+8^Wk~ zf+i55MjQi(bfB4fvA`=B`GBhrR)Vp4&3*#pDi5N5CdX-F0`mIMICCTjDuYBxq+-A{ zn_vaNEE^C^P@l%?Fn>igi`>97q7$Y7=y;PrFF|m8ATv$K5fG(@NKpXXusyi(NdxE? zG17IESWVn}h;gk)h|LM>{I->d42bs7B4eml&7q1x_NiwIgX|U_(9>#GAl!Ib@=#0b zcMgdWt`TJd?kE_;yck72pr4KPJspPm(QXX5zaU{r4)bI>4-WI93?S%$xHPE}Yof7b zMou;f!9lU0@ecD5BJwXUWL@Ow=QPx(&28dmyKLX{=g%eNl3n(d-IelmOBH3?zTfDxWOVaRZJ%Ol&{~|(fuc@jxhI-@@(g-Pb_9kh_;H55Eop8z_ zP*4B%Ivw5Yzpkb+fB58{#FYIs<*o1LUHMj5ok!RYY<+t;i0G4Jd_8~TFTPV&=V?k` zR_l-WX;t~3e*XS;{{Djf=H31xf2(7^+rPPZfNMAK!_b~uxb6?lvaQ?)rOQSdvrduo zVS_1brfy(a9g+uaF)9Z0I|@bEs9@S|^P-Q^>tPs)XG;7%9rU1!{tQ_N+rPa#9empe zxldk;23+=g-!F0tKKfq3K%2=|Gxt(hy)^ixQ58O$$)t%||eHs}$ z-ris`!fYZwOOns3Jff0InC8w~{ifF)${S;?+(@IveKU)61EB_1Tg-ymFfrHF*Qdvm z{b3VY6m;{wv9?JlG4CjIU*XAu8?F$|E?hf*+Uz!C$J4Jyk9z(f6W^Yhc|O$M&XEBh zm@h!qFD8f%9Y-K4aLn~J=lwn7c;b0{)@X)Wu-Z-%UA+aQ=?s)xWV4=i%%z$8dpX9+ z0G%6<TSJe1Boww|Zkk7-t}emlUx|om zgMf(pK~!?yTOxb%J6p<59gP?a1tIEJ>a1^%S0P+nYOF6*#?y7r5h6eJ!vPNlf9Zu{ z1++XrHsY!)Sw3d;R{h!}n6eeKTJ zwabzHD7YHD3*P2jz%pNONI&^EWA6OvIINOR49FD1M*#{uqzVCV(x8X}xA1APCgwmU zocXYDG^&NMhnDWqhRe6_fPjeW>4a#;S$`INt)u6z-IVsmBh!8$DS-T3HREKB{VU&a z70T#Nu>ndMurw8}k4G9?ClU28h6s4Lo_p3*jk|+)IpqBD_GY>xymMLKK7Fu_p325m z@1AkRx^pN-gOX%HhQ-kK-~lw;M4`G;mS{_p4V$p)*lhxRxPPR_NdGw%_tCn=~X_L=M6$W;rgkkZxKJN~wAL+pQx zb(uN;bF}q;buj-k)@EU5X8PZP=o+kv)J?XBo4WZdpR1WCq0aPpoY~ocCCsx&tlhBGt9TG zqGz!By*!Su#@-Cxc0V3FI{@{qmG-u6-``8_`aRTaCHiKHqo*IHns#=Di}aC!aeus- znjLYx;Wt^HRfckIYZhKN%kKaH|5EIl_-2fO+Npr}s-b1A&kaVmDbiz7MVlLB;13J{ z3V)%2+_OqGf8e{P_l6XfDr0Tp_kiF15Y61JqG;pBU!uA)5D2Zw^|;|`rW@QMe*wgJM0o%Ww8`pPCN{TLGR@0 zeSLV>R~TG$$?lC2@Wg?5{3Q`RLnmdqoSCEl8M#0TYr=Nn9tb(rq?>HK^s0LKe*OdA z|2YlMynj+gY$-d?EK<^DFHeqgSpaA@_=_x`6TSm{00{{3`9#a0MIVm`p+Qc%$D+tC3NAjy?r9Z zldlcP{6!DIIH!MZzDXwQVniYbOb=Ew==7dJNuAD6g3ucDw;jh4ti`7RmkDgm>g1%X zVBOmE%jg&9ncQf&=eiNstbp}4(MqE|bt?urtxTh2XvKKf5FZ4H`*7l6g~bH-kzlqr zJ{BGi^=8($0`=zuW?;gjV}>U%yVI?WthJ}j7?QJJ{k4DgP{U^^Y4hrepqfhOrgoEY zG&LSGY>+#!@*MAI0-?a7u!CBX`flmTcz_Quf#mcjM|mRk8Xw>b%kv$!g10-SHc8@#X@z5-vn za+~hhlDlw|c++x3ANPeBeOC4|?;}9}{8o#TdOQDb!TLRqE}k6?*FJJB!c4Lx5kwU6 z7bq@Oc6>0YMq+{2ARkUHNx>nN11Jm6-Hn#RE$amV&=T%JJzq}D2zJG(b)1nRq{ux| zK6(hc_=~OXB`>zY74hI3zaHISo7|KrJR~Fvb0%p=3E}FfBjqYxt&2F%cF>A zER=2kP%1qPxk4P#Q{GmMnWHY_s4E9ECN9V=O9yTqqD%D%rbb>ostmLFkYRFlywz~Y zJ_M$Dpy46R3@N%E(IjDKw^w;-&}LFlE}KTuobu-Wh9o6hORasj412q4YQ%_qzgPMY zqCIwjVo|0YLr;8e@-#8PW!zDdfr*?i7$G?94y*+yAnw$k6A)v#s#jWwc3Ts0H>-63 z$Xod&d_ajpm^n~>5T?P#AmlkOR5$w)Z?2w266=4?xz{VSaYb}ZEGvjL6Mb&{%<}ovYB#0 z#>nNU4-wj)Cv0;kHpFo`Ml?AdK_gY1Eo#WhIFyZ{uWhsmTCgHsvsMX3_#Q{2If21P z5t}!A3FnkdbDr7*`NrwHfh+<;f(x)u+|C>=r9$6*0v*8f4$qm8>0eeJKRgt(W)w;$TK56EEqLdF-g%!77HHUi-s1MueY(pSwLXhS7JIK;!ZE? z@jMG5n2+HqF;#C~=@Ika6mmG51`+7p2--X6NgbLIF^dZ_1?rH{_k9epf;l3Z73@gi zInYUCL1|!^V`{b(atbs+zvj{JGkVI=D$#0)W!b93Y)&fk#Q2cHNC{ZHyDykSV!fcY z+Sy~d!bv=6+zJ?=j*Z2q@a;9Z)zEUCkUF8nkesUN?I+|gH!5Y;OBRvX2a3K97lDWj zLPtku4_&J-j}5~^!v(f>6dLE8G5#RIr=?%QE+?3*rx1gnqG#V}q@Y;dJeiCn(P=mb z3F1aly3TVfQvgDP3EKpKVoROQSwX23rNAs*UE~qYu}G~j+xZvNBn84gUROSH;D={K z_`xVF$xdUhALoc9e4r;T`ugT^lqNIp8jbl-0mG*^G6O&OD1bW()9F!rQb=K_QSd-7 zj#4D?^riev09d+_2_yCVX?*087eU28{12xjkzY(S8IAFShbT?a97a_zzXmB2sCwv% zIshtfd#j#N@P$c_IIy4cF7J_p(8~ftpfs?#GC=kKTGGCX(m7!6yifx4>e0+mPwLBQ zF4%>@Q5_su87B4~f}v*#z}42y@%?GlB3N6#1mFVSz&ZhVuo_Dl7iOeK$dQ7O#Sm#m zKetrQ*>8_KyHs6k`t9i9@l{w#6=cXNfTbr$4Q|~ zJixC~V6w#KeH<>!xpvG+V8CwI8J)u>$pV>0ih^iB^lH|Cvj?vxPYa)xU*tBU zw6!Pw>a7YSTX?sl_p6I>bW6>fPEw|X;%*^+FX$70yev1092>VlWClC>`vih$JAW4M zQH?qP`!84Ej&1>iYfwT}*0<9}91!4-coZzmb4!lbS#K0Ch&U6VlC=3}8T*GC(hv{$ z;fCG?qTl~)B~c|*=tmd;hBCt`45d|};yrL>B!@C5h*5Q#oDFbI3M2Ge)z+AXaCaQy zN#nykG6{S=YTDs)sd_7kkyHK)?_U(0v_DDlw_e%)3j&v>r-iN@=E#OVeH?@obG?R97dwyVsk81eP% z>6r*hc8Orn1L~4OWoHjJ9IP_x!dlC{x3fiOnC6?SuoM)CD@n7Itl62lumdtd(AloHNA^2M3Q!`m) z2>hxKfH{h2b9r86NPI=BHZu%1QP+iIilbrc&nK0rcUX8JP(R3b)K%7kycyzn8d?vz zBtYSgzS6FK7d-OK=fJ0~^{HWSIVr&H<C z$<3#@=r@BiPU>{(4ukdh?yxI+$YKC59Vt1D8@`b|#1>e`t?k2iNYf!T8W5u+7KNC{ z87z{-bTVo?}C!^5XhK4`V}T=!&5 zbibdBSKD(J{zSa1oi-s8OL1~b_!IGTCk{5Qu^iBVdQeoYry@O~Uy~t!KQTqcgp%>j zi52>x!gHcdQO6z=86G1ygpxt7g$quaP{k19+jCA)I+nf{h&`0Ku{m4QE``;mLYYXd`Y702%UNiFww{VZ*yxxv(3 z@#KcJsutj#h7Q4VKG&_9p%5F+INvpL^(>*u4SVKcw6T45#}FpuGN#}v`L!dW$4)q?F)5{-k{`;sd2&&~%I$R_H#6h#IthSxn< zVPJKvf{{@bJUYAhIqq&|Dh#f4Ng<009CWUlft93H0eiAZlVoyEaVU&11Yq(AA2m~~ zLac5KX*^&qWTdx~-3Nk@-zFhyI-t19c1g1r$ds^8*-f35lU}W=)sDk>Nb)dgthe5| zQL30DN*po{lD+VaKWqW8yo99^kCsc&*gZnLkKq2tx*Ew*5)h-x^z#G#H65C=rVOQn zPsTrnAv_6t#Sq{&o@~Zsar%xh$poekcQ+QyscDiWpH2H1z?RsuI5#03JRkvnXXh=P z)VWoSDquWu$+p`4cr0M(5B+!t1H#rZH>vPj=%D5m;N)vQW0UtS_Qm3M4&Oh!3PMSY z$-;M@6t6Px98llm1@QZ1pq&M;$R9j0{7nMerooo6yD}Y~+_Ky;fhTQ8tmm$Er=<2S zZDp#mzv!gv<8hG>2Lrs}t2=A86%#~#;o`41e2mG=$2}1I{hn^((2AAIZZj zE6=9Hzi?)F4@r(~OuGK9kzc8+30MYAk$p0;C!o>KmqQw7Rz|NNnW^Wcsd<*Le*8l|+goiyI|qCBux4 zCBT-|D3ac4y3AwPX5o_Aia{Tm$!l;I1-P)31h8wZQ7})irPUmIiK{sH6I=E)1y?3HJ!|t@`6h<46srkpxf~EHDK{=jwsbMR`Q-?&Pf^VhcxuB7j2_rEmeF39!=@ zMdM?T86d{h?tsTv`&ocYu-^bpzz?l3w7Fa=Nyqi_A*f2&t@^hm;Ph|eId{^$$l(0;exUfw; zVDL_GG(@Op4f_TeG1#~<1U9`=@z-16Oi-w+_I##hU9jK@xM9?tF*x^FeZctxhFV|Z zEB1Ncf}(gngQEQ7d6dSeNUH(ktcF(abmR~DK;ch_oP%K7%diey+<%naLThJyNSdodcC^)@-p}UZ0M zU-tOp$P-qs7hV|Wnvi-pLQ-?Ct19nqxzL00jRUNG4an3(Fx_z9ek0c07GOg^)K^NZBQidi2QabwCoEm{365vwPJG4Qj-P#x>B*Ms7EF?RojFx?`PD}@;;qS z^rr;lkG8m$>TS?A5sK2U)R^aY4ogo+=|BIUq3Yc3NbVSO8D{yHxu4EEQ-6`PwQX*y z6-W2iw!TP*esb+=90Q-Py{A?D#!2edqRMNNs`DfB!Rc|*pw?SU?|0nu zywe?Ee592rr-YRrd}C6~B`yZcTMoP6F)TaNC36YJ9H=^myHl}eo8p7GCa)cN^cuTt zt!E)bCwnAvL0E66q$n&&cDfgffWEyn&HBvNlV9`bnBp{{PjumwNc+y_4CaCUikzh^bk5Xp8$U;^~WsfXLVhe*WpsOM|a_T@1m#{+CKiyLdUvowX*`at*M0->4 zh+oMwQ9PaR4||3uVLNJtlk6dRqZ~9xLiWAh@hPr8r10&VP`Y+CQ}T3K5YU=<@^NQ# zog!M=5yN)|GK>|`W9i@@YUK&ycy)yJYUZvYr-pr(RXT53!EyP{lp{B>G) zJ&1OS*rctMW6rMj2#7%LT`2=sv8W%5h;fEh8nC~N6*nAK3bIu{j1R($k&r1=q#oEL zWg9ti)_Wx4mCf>;C0`qoMT|NgO>YsqMcR**DO!coc06*QTG#Mc2vGCT0>yDE-k^IR zteIj-VvIbN9vPw>X2RHF4q+tYdm~n|;E{v)y3jM|I!xQGw~YTH1ps%zZKa-$lw>^7 zCjI;{c&L`e@iQBUj-XPQzwX?Q`1Xr}#ydFB%5EmIAW?H==)k{@PJew2@RY+fXZKdG#-gM zg_>4EH5QSG($2jl+6-;u5MS#1=Oc3f09wgSCk6c`|Mcek@G{rXrKK;j_UB2Hq))&1 z^XgH3L=`htGf}svt4pehfqF$Xx6H8cX{Bp>WjCm(qO;WQWi6|CJV-gJZ(tVZz766p zcPT&4#Wkx6PC5?`%+j2ydd{>#XD)T+tVC2Q_ST}uV&(}`*PT~U5|hXK1#H`Pt1Q3E zq1#! zS#|rE;3P}Cbr?4L^hMVNVus|X zW>fQz8U%+tD##sNtBf(0@AZsa@rI<*LD>uIS)D}Xj#%If3pa*4UBy_#dLfOJ4*&=Ia7HIGsXM!?DfC*`J|a>oK#j6#PsyOL+07P3a~n zu|Mr*vxG5k5hC299oBOzy;#xH3kS=~MHg=0Mn>|TYOUdo70HPwQqZ6AERd|evfa>@ z*&1ObtB(Uay69B>ZVdeR$f?rQjtUQ?bS;T+F8W%~39H!UlPwY)EO_3BV()MF3vfN) zC52unGZ^quVe6APw?!-;CmQZsy+S+2`(u|t!Sz;lZ_IR4C|aWwc8-`nYZ!=Vv%LD>>L$j zQ}N)mHGo(i+QD^`vr8G3_Pk!?NjV#}E*8PzVG5e;O5g{+JWTE`NMHVAHmh#qTB?H^ z*>eU&v2kA`*kM4>HB?0#oN4zamX=oKZQfyANNN{LZZe!L%~k}q3FhEBI!$SCh}l?O z!JQ3Da@GD91sD8JZia3Hr--YY3C;KgPwlN;zRfb7brY3UgP6m-cVtoXrHPzlnaFTv zp~BLqLTtt3f!rE2X=2TV+)ROYBRoP(@BW*!IB}@T68#1Ot@x z*2^)xONyqyZWd$MKQe_J=-bnU93G--rP`YS*yo?zmxv>a-@gyV&d^DjVl)M3#$VneN(K&oOW!e7`ne~^@?}b`zvrhZsoa!OHtPo z;lga(i*ri>ih<0*>==!44|a0@kiMJ@>(z|oU>eoVlDPn&_K*7l;R_H*mpcMCJKHF2 zJf7ZGHuSCBH=L^dotgS)XY=f|?PK~FEIi1l4FzVk1W~hEw&SX~A|P1WS8Sz2!LF~v znWS97DaYUMz_Vq6m6UgvK0jKlwku$d+nF}jn6v@;J;N7Q$-E461WE)P4nu3{+>2_nZ;1KLeyI9>r49F!AFW$ z(v}Vo4RXK4{jo&_8ApyEsEedwO7jz;V@Or3cxaHpG95@W(@tm@;@WGS26{8T!V)(v z9D=GC2UdepyOV6~*?)AzO127%|3ltaIMO&VxM@;IEEt@L5Q%8RMhVnfUnX4h0v7M- z8eA{rrHBGh(~6K5|7@H((0RjNYq&Wht84fvu6%5rtfGLMF zo`(`*J%aGa)fl`+Xgw~#zCWK0wXP_cdbqdQirtvXAS&K0s!6v>f6-T@Agcv z^bu=GOJ;)5dBN{b^+UXbCRq0dpHKTWMy84>q>3t$_tXFER&J#M^O1)L;s9`8uE108 z&ogW5XD%eezC7+ulKApK(9@j6Jb4uD#8X7hj*Cj?0~qaR0+q@0Wok1L&eyn4j{f&1 zVG8D|z~P4A$*d2_(HF!|^Kbo;MnKMNea0jqELNfpT8wbIu`8&%uD4e8aW5PEBju;K zSp60%ij(WBkJTde6!6^|Fb+=@tJ<5ji5;|Y{(aOMyYrx}y7an98rU!`9x*31RmP)# z{Y-41ICv~5TLr+9O}{S|iJ49mstJ!Ygf`deYVtuMn4G}5 zpbEq0bQyh`t(6@{d6 zh1b%Gm>esQN$CB=a89#$LsBsgce(oCQNJ97!L5aa1!i87y{#(HWTGQ#uI zJ~}W&)9zp?N>wjsr}P(w;oc+1Vd;_qH04sdFQq5Oju2I`Mqi%-vwMv7Tc(-Mo`rU3 zZdiCPB0yb!%4ZWk9Peb9=hOHz#xXHz2%2ogAvfE!;C?rlc(sQQNfhyl>%@RbqTjN)xZz)FCw z6{BqBjSbM$;?IZOY3Ac=a=JWG(Nvsi%8a!#ui}BbpaDVD(@>~=`Jt35-T*mMd*Z+) zm$-TrB8Zbc48J=gk5R!kEyrr>$z_LDI6a^3Q3!|vic^d^UdUjE!fNo99+s79zfDkv zEIOreHGfS3+>3PV3ZneQ{A#BeBvE?AaIrL^Z%ZRHEM@BY^3$`kC-Z6#Lq$s|nAFYk z(~V6C$&lkg^URFt1lxQM*KVRZ72TYr=Eh5~yaCaU1fdErEnk!aD*MVo;-eWVp2{I9 zfpQ*;*{yaK-uO6e!2z0JpnTM?JB@G?R431nYkZQZdn+5r2ZMHBso>*t%20xkX!4A9 z8qlmx4#r3U{L1_5H8zoGRB}JPPDp5q9w6$SQ6-%f@b1Dxc#oNv97D=MZ29pU2P;Z( zrb`+D|2wgGk(5Dqk7jgI>@cH!rfNU1uE^Lr|060)hYst6e?Ls6_9qrtk6mJSh|R6TJF*1RQ_cmto{13mamfkUZu zm5qDuG>q7BCN=Soh=oZqGFIummYuChFlFW_+6$!UIOPqw15^nEA8#WRsNm3Mm?o%GDjKzFMLNKRrwEXr=1!-4-X}7!{=EN70z!ePk^M()G zH5|+A{KBZIB{ikFj1=as5h;=aDMCH#n3R&ZININ2`}_PD9ae{}4MiHrmaX2qzd=&! z>_m-^B;a!MkM!5!y`l&`+(MYbQpTrTpY`}+ZEHY({#dIsH+u`GnNyQbW2)B(81Gj@ zZtXWrzeJ&AW5?2~hwzXI5$VGU@19$Ed|1F7b73$5btK9;+a0(nXKtu^+YHk=vn>+D zpvhf=n!=hgE0(}LOvt|yK~ zWm7A;LF6c0Qw~T}kYPms;aKe}wH&+NTb$SU4do?bd#kl3MBvHcK+Ssu{b)P%^cOdmmL zSMIhNu*>LlN?A2v8dmy)=G5sz5n9HElQU9N>iMy=?zu$-C3kI5rx<)-H?BFgwe2}P z6>8rRa<@sxoD{N^;K(-z=I>F}$11zB@<7zT&4P~D=aM8&U{Ns8ehq)k;XpgKD|%&@ zGE}xb7uAa||D$Jp!t@yz#k{kXmdJEGmolsPVoB=?>LEB{J?GWMuPQt5WLVp z8V`jZOE}CeKc8h+3aq`+WFq}RPg_-kdO`QP^pYxp77)N0H=CLZb(o<@lrIKCH;Kv- zLVaX(aVfN$S7afr-)v%8ioY=P&us}dqp(<7kSM=}cY+tTY_8raga?pEBdb`ZgN09=X7mjt+f$~W;nT-+; zBuT-jsRp#^_I#-XK;Rg4n{e7`YQJ98RfloZAcfQEr2WIV|6F%=FZ-*@1+GYtB?JU=OqRGFbxrFk*= zKjF(^GtB1+VbZDv>7-}=7b<_^fc7_0dpNdvN6q3IMOwUoxCc+H|G@+yX>iemkI~Gm zijEN*3EBeLk+(S=MFB&a8ZuL&-+gp~d_40z^Qm5_=lSfn!bISBE;nHMRR@x*W=4gI zA(Q0%r79$~4qIZbRKG>t1#h2wsFMx5-UKoMZkb^sZFYXyBJb{5bK6@n`x`s2MZ1nh zZm{N+OUW@BC&oLH0PV5l5YfOPoGYdCuyvLEfU}2fX}2EF+@ z&P*x}CUR-_Es`APavGhW>w?O))jW~>$k}M$2Citit?L7~D|psl=&{APQN!e)E5~tb zx3XJV{_4L}9PDdueiJJG*aUQnjA4{MzDp$?gHx&+vX7 z+EXtlhQ+zs-!>FJUfJb)wy=DjsJZ@G(z))=mYUW1$XonfNlLWw=siMvd6<6_U!ka} zsvZ4XGnXp%gYwqf-y=QqFx?nu(YsZtFL7OdMY5 zl9X3`v~QtZt-UP0pzl~Y9LDx3*^fOrFtK|$D|1?KhY>p5y_J{$ar^P+NXW>RFjb>4 z2847;9hF^R?ib3`$}SYmCU5FMVUqJqb!jRsZI(1y(~PF3KhDT z2xLkXLM~a5^4p_aqE${9d_RPYt`FYI%6B;-@8;1H7$r*b_0e>TY7L|YyPLcLu#qQ# zpd0iHv&FuaGXYUHRS^t=K;VMTZL_$*H?BxC?QyX0eg@6nX8|Zl9gIeC{{vHu*dX)u7T4e?&bq`IF|KrdN<$Y_$*U(mBA|SJ zFXTOcMSC>PPkJKBG^$a0=OA?I6}JI5pE*mWY(O9Ji;w_GV5~_SnR_nm{UPx}|B1mw z8PGMl36o@$37<~YS*x{%Ter;)SZqlgt(b?rYU3N;svO3w7^ytEHe(7&VGXRHvCc5} ztH~fhbmRmjcI=>W_cM(gPJLm!WxxGIc+aSgCaM*QB{NR*OOR5fpEx-)=cF%lLN!yk zdnd2Jut6!E2MR~1#64cZGYm87A2@*@j}#$Uv+OF6{{{)96r+rki&;n*8nMH3;UAgsrLLbW%PusR0*kM1vWN4^QdeU z5ZJT*qu}-jpv_=@bfXXOpI-LKrBjkM`G8e#9-Lsqj|~R_9Ioi-76vWeAj^BoI!WF~){437%%36Uyi?Qf zu#z885`88*~s!baXGI7H746T-{D}h;6rQ5mXEPrjGZrVGlL&s5g+(2V@9C2XN zy6FDy*e+DRwe2NTJjV9aa2skW$^@Kpe0pirVw%}&*Bf;<0no|NpoEr{>G`6ylM{0s z$RgX}c5H!`>zWOkoooa#w-N3%b>vnP3air|*zA?}f%ngdu!&XRo6M4rkTb|xWi;79 z_*#k>C4s{mhyy-VA@l|aCZ4)C+z7p?Y4L*Y{(d6#=8X-n;sZYRobovXjTRG$b8;O= zwFycZidU|yT}mUNIy`z}wU{m_A_4p*i7a1HeI1rOgn|1S;Gl%iV3o$g-Rd2gYj9Vdr`Hg>L1oz1xy+~83n=o#^{2}y(d-jr0uTFM~ zir`hC{?kDbce5)Cf(p2N2!Tt|rSxeDucnistfRzOBdI_mV2P`QW~!1}4+qv(QqonB zAx8)b0sE#&8kel{aLN>j7o^G|x)jQ)%_rubr|I^M940Yj-cGYs@*ML|yOH#?52@wT z3m#^&sR8WKFP>JPeu`oYPI4O{*TbY8&SL(=TD>(R+GHU@IhrTn{~Jx8t@ddKTgH zTI(^8a^;s#P-5AJZR*z<(xfm|oZr+8S+G}7h1dHTOMyNd1?IEOgk)`{yJVedhn;jA zGbA5|%brc8)A25BL&xf#c5z>OJ`?<7JLatn$9;`)!V!{M{~+SXp&#D_(jXVaCw4Kn zJ29sR`N~Q}7t%5a>?>MV?*`hRjxveHvr3{0zH+!b4L1o8OO@8!O1u8aUg0vQgwi0P z-Z8Vq2?~=lC9P%7*}{SY|E(^~dB^S4+e))F$2MvwKt;2GUcRv*wjWS?l$2*A3N7gw z2ntMXC<_`!aL%9FUE13_6|^sAl~O8JnQ_urIw%5-3tBF9#zL~OiI#dZf;4+7g*ZqH z0b;=LUaE9;Bjg?~$pKWK-=A3g-M#3O;c|$t5jvBr0OFF@v&$@Xdz>mF4bY)xs@9d! zfw;BcK0JuBA6x{Ehth)W@)(OzeIaJLmWq!?S}!WDK|mTgO|EH41PIR)26J*yI;d^~ z_ev78TlAD@xx!sQfU>O_c1UHzAX@it2rxkmx$M*ZsDGy_J+UflOQ{ zpo3*5@%?@#A7F+?K)^|7^{z}2^RPE1Dy}{n>&{J|NF2Uk?wJLvy7&*w@3(P_PgZ_| z^U1~AkOqLOqp4Pj72OGAc7ytqf})45X)l;68d7P5E+}6Ybw7rPYQZaKY5=`E2vJ$~ z&H*xFys*;nvb4H7L7^^Nh`f1DBVO)duT;51Dh@a*!zS%iJfZa)-kVE6+wO77kJ4+A zv!h*h-g|+oD{Iq7i;hQKSoiqa0l3bT?N%Gy@cH8dR@(-E$T8^<>xcG6;E99jN!q|; z4~}Jpm=t99W)y=aEi}A*RGct6<`_+o;a5a$E<^DY0#86>R$6ps+}w2NMgf;@FJYc2 z^;Y8CfY}0%szXAxayG5DnOGGNHQxXz$03}YKt3lCw<9TzZE2e9b;B-)Z*+@2$*=4E z4|;INeM8K0Q11cs+66H~_;-ZiNJq6+0i{13M+*(jutk>EH&>Z8>cm*xtw;S_4_ndW zqm`1~B1%NGuK?5pLyAd^QL_EjhSP(zCHZK*rpK!trfOeZjt2;vsJ4VTjYD{KK=rcV zL!;Paj5djpG?%rG`9AtD5SUqD*D2bdtkc>CP%gI@lQpAsuL3l3cYf;4Q4hR{uDRk= zsjJ%Y4d$L_w^aU>7Lx1%cC}G8&RFO7S&iK%p2~=+r+9WYL?XYc&9(z^rgMEGV)cjT zZgccxn@wi{0f2CE+%~{1sQ`$e)`*d9$E%)G_2&N6y+p7QN)KU9us06cJ+Fn(CKQy% zR?0QJr}rvA%S2-a*XS<*$>$^aUHkDKCw*UcAD3-BH*!#8g+p-G00o83*)&NV<(<#s zAvgTpK9AQB^X^?Izy@zsN}4=~Sph}69^8z=Xn*yX$4q9qf_B@2_Tk~veZ_-d?Dn!_ z7*Kj*=^Cz65L>fSpPZZQtc(_?H48J^c$=0n4YFo%W||@~ki7;ZKt%!B>+k64*fi+F zS-L3195|L;+PA_mzW+i(LWS)~2W!5$riY*zs5NTB`6P+e zUDnb^kuH>*2t$*xcCGe+pY~o>&c=AF9M0D|V|UePJhh@W(xmJhU~G75%AjW4RvyQq z5;J^slTmZIKX&3a8|iym7d^`1N#9k{<>;THFWJbF%0&}?tJ(O$ zx(@DqN);Nx;%)rZN9yL5kRi9x#WZ441$BVBBWHQjbcqDHv+h^=uGGjTq3U#kI$QTR z*}Bjf5iX^00u6}iuDpp*T;(LFR@xQHcr^Wk}^TiUxI z5YUi}x$xC~+?e#7YbE7=_ZXds1RBh_nRdKa5Zj+SqfmG~2bX+GkM_J$|L~d=`N(&l z`q)7p!Vm+zq$CD>M{FlAT#M9v9LI71VC)ud%OtudQYeUh#ykD?KlC_$w0O|si4n`O z`rXqpi$yZv3~UDWFE=-Cw(53bLA#Ahp?!Mi)9N^Q!?j?jX>-fm6_G2MPaX5UaV|JN z8|J6h=x>zvj2|XM%VXs^4YHakMaIWcBvt}-@~82yJ4#C)uFyHZ>z+MAk{A!APRx|T z1XY$3Jwsz$oPKG-w@KKuX!P{^h=BAiT~U%JVF%VsUYd_pbQh!WIPffdIx?i|NuwV{W(>n*72)LM8ppD`EslpC-cMA1m>5$#0D(7Qr(0pSB^J*XiJQ>4u zHj|2Hvx;+OhwfZ#ym$EgV_id9Ej0XmWL`Q)e0yd3dcr{`XL4aGInpzhR3g}4 ztV)IHQrLX>&=fr&5@s|$I!UX}4FXBqLv~`&+`Ys;Mgx)2NE*l@@t9O012!{vZ@ zudtUO8ki&99NIZ{;xNNDlX#atI?tiSK+E3}CJhAyffKsn5OyLDkM$TYvS>wu{c@BX zH?N(ilqlJu1!gO0tnSwwL}nbYL4BK{Kx9)+LvuPW!;EY?MQ%&*}P} z3+jmht0U%RFYMpr{v z?tT9sU0)Rw*BicxySsaVA8rK-6nA%bcLt}p%iyKByL*Ab-KAKOV#DC>Zc8@VWH+1t z#ku;Db9K&}=Y8yx9VK!-0;O;>Sj(Pi8u0fO9TT~5^ifx&2HAscmw%D;kxe!l^wT6BA+;$W*WVLnZTIHQj&c;v0D*aGBjL`|kFs^Cn=2T`N|oz8H{wK*nv0YaVsR+^5VsWW$^ zACx|ZFUdO-^bFM->&?fJ91KlaGEvDdV|t@|NpN^Ml5z9hpp4_yaW`%Ki}HV3Mw0;A z1g`N+AqqNn=oyuLKil-B*j1i}2Y>bJsz+Lu@&8Fx7;(_)zKQWVJQj1iT`ROkx6vpe z4}5^_U2#uZobfXLF6N-`bg-v!zJ{4ff)dlyU6OqeJ~tX5?2tF&s;aru#Bd zhQw||28)Qvg?g-InMTb~W@j91XKR0?d7XsThxms^Sz(!tR}ij715Gzy_T$NW)vs8T zAIg6!YgCUiDm3PiPv-Z1kh>%;M1A-!T`Sn$Ff3Rx<{-3uEG!`bdHZk(dt zu4qQ|^K;1HMcVay5)V%U$Et@OU&%1R90OvY8X_L`47q7m2@l4ASmoGA);AnsYZb5R zAwBn%itdo=pPUz1b^W|M<dNH>QJQhG;z0$T6Hq zIpq6I4Ie9O3UR7TbKkGX-6A*^k*y8)d!Oa*%l!S`AsBfUQnNBG9DQ_cFds3C>(n@X9 zFFRGZnQM~N$Hi7sou}ww6PAZ+yZcKQwXLX%d~Mp|ao+jrYHoadXLs&ebZqQKcl?Xl zM}%J{GM-qlx`WNdsI)&VEwh?dNU-jhO7{cPoyhyBN$>mf-Ew_z;M?6vy-Cp9^U3mu zi^;q0;xK{}p0hZt^omXJxN&4hem3XzZwI+CP;}=f837;1aGB z;|nhVSG?FLi@#rvMo_BgAQ=4!Lv@!Vl3uARg^j9M+COC-YwOoLgI*fB1yu|yHiBw= zUh-tMz9%cc=>AK1iGyzbSF6ci5`j^(2pW>zr?>xv{BUA3aQTlN{ZfPwcZMkBVk(%9{BtlgI@CLy~z0+E)HV`%h_|f zRy@xCK#-kwV^c#{hyBd@<+U;YR1_XLkQ&n9bhCglAK zcs&hqPfz@$>wmo6UolUQvTgFay^|bXwpSNe5Z2{`7CnyDZz^Mz%4fF5Jbb@21VO|X zu41Q0**6RqVkX6HZ#D+q3-XemdKwYm9tf9tINkw1zIKl9PeYLEqfr-|^q$P1`_3nuEq0+7 z*Zc8@hXWIIMIo{bAC8^|o`>7LsrlICb{Qj!W>#2@>F>BYYZoRbIUTEQ02iO5&C8Uu zkchSJ6d5)ihH8>Hw)%hOEk5fMc=s03lzXA7bip(nD>TqZ_b;%*4e&1+?&?B7HEYnRuSNZ22zkWjhU$H7S z5`wq4cjjmsm15>!No&1tX|o` zT!ccJDB-i&^3#qIEnGh4V(A~c?8rw_al#@Mf68xZ)Y{B;m?nX^4ot7zDUHvrAQ<|4CjbMwENA6gUlv<8araxSAd?a-F z#3iI?P4Ng%^u=6jHRH|4L)N(~75GOjG|la^+l#($`w-xv&Zzg+aaUmR+wtEeW+Snv$_2O#Xu4?^q3k&%>D& zJl2J(s1f}C4arbLquk>r5#F?8*OT6Nz)f@NbsDIlD41uz#GJHDj19;B1LQ@C29|>LcMUbeo4mQ zFxD_tF&^24Ilym5Jx#r=I!3uvLWW5ojg%`rHcc^4G!Q<_m0)N{;*-ORi#(K##)!(W zrOSzy(HIBdyfViiSeW%-k?$4JP;+&WVe4bq=wXd;*kZlX;VC9V<3u4%B^C>#A@ril z^qGZ`Ed?*f^+~D?>!ceXQoLRDV}2|@W`E4S>?V?%ckR(Yt#aWFpWu>5UAxhtqsCe$X>ED^mH|0GOoGjMbH~&mH>Qy1S>0^as9Uas zGp;~Tb3ke9O&bVKhw3PteL^5CoEX*iZALsw%u;>#WbYe^T$=i?;yfY>1Uomg+c}Prbu63AkvXSwcoaC#cdn9%f%Y-IjV~bT`qP;v0&hOakbgT8C zuP!X=o>I{B@pc%O&>2eEuxHil&H17IgmrYrWG(2GtN`97Qi6dyBs-M3uPsf`&03F8 zM&&}-%lc1DGvXg3=puek@|@=o#4IS*1Y;0}Ep+QB`zAlKs_WB!W$bi08&7Tr0M;X` zS`LX!=ttwz5R=p^j&e?W;6vC|AkWzjx0C)1E# z5h4$Q{gE+7G{pH&00n+1qmRNZ>Q&&OiGkp<=1ZUEXrCrS!%!a&VpwY5G~0PW65ys= z&;xVk7Ok5w3Yh#&4DY)Is-X}o6qBzEVK8$r%@Pm)m96Fe(c{2mrHqSpp8xlU+qO{V z{k-?U{c&&HSQlyQ{Dc`+rSHC+AFtD=3+aRIiGtsB6gN+EyEec6DE8Z*=^Jcqv~i+U zV1>Qm^P|VecahiP%j!;=IdAakcE-CmMIuD;QzLp!jpU$;55^1;YWNfT*e@JT3ogKn z=u={c3F-XN9@Xc}0~Uv2Tf7(ua2_B<3SGeHmn2Rr)g?JK=Ok0v@%fKXKa#o+KNZh- zaK0s3)rmzrMNz99$gEy!HQqFDsVBvvg^RJ=*e?)SWfA?4N?$@u3ser{sSW376{wK8 zJhaCdD!&nl)7G<6sj#Lc=U}$Z5}Wx2TSJVvk<~KZuo>J#vyGqC~ zSEZsq5W0{6n*_UzfVwI)m}{$k?2f>?bI%~BNeSafx^vgP!E>S&)E=hCcK&Ex?%!Mt zh%M%rEFAMn$7F>6!g|{+0t8W=w{Ix!UBz& zEvz~TR4X|&IykWv4?1{?D!xnt$#HB1WS&+}ihZI2OrTwlcec$zSm@&`c{nXds%O^5JkgL$n@3ild+k z+YC4PT#3{^Zy7_sfZ%h&<6%ZpiLKgYn%zb}vS8V3-}+?&s#>%YbO-fHzYH{BDH4NjD}&~*4PJeVDP ze^HSsGeKABJqLrLojg6RiS&4gefc!9-4q%)-~5^`^O&a z+=g05H8~I9I<=NVrBLmd{(@MG!V`ZWG}J^uQ28W=i_qLwC)=0Uy0Y)Rj;Sn%^O zl_po+es*jcp=Hossw*%}6gMtbEG}B%h;xEWAX!VxR85XtI%3ppaTKqe|@95G~(HHI5uCbE}(wKVZqPQYX#9bPB*#?V%Eyo zk2iWrhdM0FyqD^GM;ce8a`!~41YzaPT&bReXzPq!BovE(w$K#Pi zIXn4*k?WrJOT6EA!mRT=kk3xvIOt9?Q=e%|d<+nEFnpyE^(i*4=C}ar&!fa&|M}fh=EFL62JM+^i)p%D5{I2&S-JUHd zf&9yh6Szh3TdmhX+Z~5Lr%=k5MTcOixpC&ulVhV`MA2w`k@b@Rn;5_Df|J^S0#d`b zb%3Nn5O?2TRL82YPjjx0B;temUaNo37XcY(SN82>D>aW=UGu$e2~=?SC1G&T_}1Be z$1?X!Op!OtZy^EdF*B;2sPV7R${uK;W&N$FqUL}yKgI=?l~7voSEahVZAJHP+JYZ} zorZrVIN-6QF5VESLI^VZQ3|5JqAPtT&h~4yZ-5wpf$im6e^>%U-gZ03WlR#;d$Rm* z-R_UF5!rk5{O)~y-sKQ4fCd2?O5YdwUiQz?Mb0yP=7jHmTbb6ipS%~k^UZ%XaKbVN zwATdoqDmR^BYBw_Qjp!d!LJkTiu;3qA>IejL1;l?6lm9AX!Zmj*(r$v=TJWu5HdIf zj3kFmjnH+67A40;6fD;kb@vRx(u5oQB3pom{>v=H4W_bWmMN>k{O}l1K~GW}!(b1o z%#tLLEf&VHM_NFqZladtX|OfIsw(XI8(vM)qC>qj5nPJHrGxyWlqzh|u3~b$geRD4 z=VvxSucRx5T+MHmGIDmEQOjYT9HEG_#Atn6R8SYZk9sWmTU+sDNGvyF9w=9fw2W79 z>@S&0sJj1*zbY)%+Qu=-{O5YInd*mj0SBt~F4e0jV#!zt9$5I>rnqWdC&#i{hC}*+ zZmEIdPbGva>2&3|c2DeyX;TcGR#RcxUDXaHnojz)s&OudrnoGY6yYuNU;5K1%~Dpa z71P?agH~71MjQ~CS*XwfMj!&mVxqY)+QA6rp()i^9~wL&XLz|(Fls~?+<>}IMxptf zDb09Uthm&dZOFW;>wgBC10}IXn%Kc`$iQ-bHM)LYrQz5^T~2)FLNQlWPV|JK1s;%! zkesUpiJU+(3jKm&2c4!S2^-s|NIIiLBs5|s6d#gAm`QX#9W;|a-2R@s1xG{XUx#KNCyb$s!ZBN|!I-l1 zmp|{WN0=X0&ut&Bmro)dBF_QKVUz+ky)OAae%|5k!>pI1g)UW2riFgHbA3b2bD7Ju z-1W~4`CeN=E8p%50xT(Ji%#AleN!4>VBxBb(F5f=d4}T=smoC|XzdT8m+vTdcd^v+ z;dEW&{!HV3o%dJIgu0j%X#`Ry2?u?OC8#=EBZb(%VMN46HGCuXc9xOs+UcCIR3Wn@ z;x#>MB-WM`KMRpQHoV@|D9<5hGqK(Ra5@}+hjm>SNvUh$;Dj2~GHp|GMbs*;*^P5W@TY`FF1$Ydze5 z*MgZbel4A|)@^FFIBhL`kLnTfH~+Y5&S9Q0AvBy@{O8x$ez#k?FHz1G;2ByhW!*!| zE#1fhw6J-g6l`0+a(_w4Uvr17_h=Aen1H;lk87Lx`YJzoWnw3%sR~eM$0w)D>(?PT zwyu>=x25~shJ4()J^m+){~MM<3Dv|z!4Y0Wc^h@Dx?U~$)n@MaxKM?TN{nDu!veAN zxm#SDEiSc3XH|x9A#eOrU0Y1bHKH^(z888J1?EzClNzLCbdLfE+9ZYs2eTe!Yz5KV zdS)}`0pDLU!Z=Q;;Bp#zHX9Kq2l1Hepk%^dP&FtdQW7H~%kz-p71=lPgE*fqTR3zZ zFJHY;|MX@DJa6EM4)1I!eSbQ;onLPL(_`%Ov^KoFHS;}45XO*mVmfU79I+y!oBOfA z$+6P!SZnmLSrFEpPe2+ouiIF&b0Y>!U%yNeOhyFh6KhCH2{tl>X29s#Lp0z+_G5&D z^IC^HrSBKsFLZSVHK>Gnc2*AtApWJ1*AivAX&f+=OhcDz^8d+_ zNH@tk-n8#D>+;@m-E30H_g2e$z=tr0pfuxxm;IsLv8_{8V?ul#WR?0JuXoKH_NXH; zSAYA{gmgEb7%%${$dXGVQ$E#pjQX7y_O!8Bm=EI#nMm3U4x<2?NCrTH8HvOj+Ke`V zWs3z%EkXfvW>6xl6_ENX!-C99BW3Up@@&p<& zI84UU!;@kjq0AY(=IVQn9XYI3Na>o=^3}ywEmy#2Nh^sadxs8d8M%$~rsr<__?PNd zikeL?P=!5WHe<+tB!zaDVQR@(xQUS(F}j=$lCD) zSC^1Fwgpb3DUH09YQM}7jSo+#6pbxoXoFb>GQ2H9QE1@Ld+c9?4Bh*VK$k1qO zRBfwHoPITIc%gmBh0ZUT1_3GT?;Fj%A1LS)o5A-2*TU?LhvnZ0q?BaqU^~vf_99O`LWk!}vAD1E zx*`eGraNIfM8s+}lqdXc_K)UY#l!vF+#ZkELQMiJ4lNG1*F@>rp^D9^>*4 z!YX*4;i|a%YJN5L>3D(xTrN7xDRwXE4tsCc^Rp6u+3U!^Vrt`Y}lykOzJf1EE zFgWz`Yj?i^_Ll1VCab(gL!A5)&xJj3F2UeRh0z%!5x={c)HQOY+JJQD*07Y9xn><` z)_Y2k-UptG$mQ$*9XJM%@AT2>f^MCuDu^ zsdIy`hM3U%-cz+{$le(2DSb~g&Lh9cF2(YgD*q4z8`~_6PR57 zbJIUc2-y=r)FII~SiYQ+Z#EjhlODmL&Gb==3-wWh;y?m|@?%W?GgE1;=}V3TD2@D17?UL53WR@j>Q{^GSg?2XFaoA3AjHq}g7mKMwwDERbv zcALU?!`}1bao^ii@E)x9=TZD*b}Ba{GrOC+?fKv$Uidu6e@^)Qw-tb*D_+o}uo7fe zPFg+{IF>-g_Om%8R#MCv=T4Pz6amK-7n)EM9{W>LO_c7w7j$DSg2xSGZrSzQ|ZruQ(4ref3~pv#X@n8 z=U6MA;-vy|tP+ioO6Xc3ZL4k97U#5t*CMnnQkB^c>BeRpV`+SE`?}OW@-MgtVP5k| z3tw2OUB`GoIn}qMl;TIFj2eWE#cLv#tm(H>)^B;pXVi=Zm?^1N%m~93J>aV*%WmGT zMGP+%0A0#V(pnwY8;T2va0xK{|_YOVMsmkzh^#dH!cwPDz*5C8oC7}VS_O1fQ5*lwsMyS^*hG-mc2W2nsHWLgU1Fx9x6=c3Lag#8 zW2;*wW~=Ix5EXoVjsip{NUd7ZsQ&_{6MSKokFArC`!$-xd`afb|k3_U{GaLdE=lo;q;=-`8AV%r+Y^rGCTsP34trG z&MBy%fqiOKAp-WT#)E;4?aK6z_ow{#{HLwAo5RVVwU6BkKf<8Xte3(76cFU9He`J5 zZRY{OMlg!7SgO}y`bl>ew-uS4|4yGV9>p6Sqo0ZO#$VHwHlCefGf&YT( z8VU&%E9{Q*mZZYPBe`g7-ql)nK};O8a7FB$1o4S2r$?>RWiE3d43UmD!=brnwe8hp z6qgU3zbQ$?C&UfxYzm_AfABhh2iRPO8yZob&TpJgdi&L_pWqupZw`~HMol>UT;b6Z zxMH|w{b0IC*^1_MPO^4MK5$7paQV6C^z-1L4kT{3P<@J!v{EvquE2}8@1!o*dX{)-jdf{#M*XX~Jf~RJQ@t&D>+0cA?jGbY3(E77h+;y+iAk6>Q?fKElN@o|xaZ0JfJ zyd)j^A|eZ8;CTC{wTa@9G5OYSoONRGyVigBp2$00Jj_H+A5Sau5m7ZLmN9*gkllFrxA>Ws`Fr6)BA>UPzy9Nu79xKzhslbInA2|DBCzrP{ZJ(N;dQ&lg1I9{JX3ZV-5>^0Zjcn+lWUTgT3x36&)=d7URR18<$4#C78L2SzT*ye4B_M zd7Y}-Pr2bE$vB`)v@KF%gAZM}l(-L1oa+MRy0`{3K7a#m4hmn)xg@ke2nwGF+RcJk zAIll9<>|XL10Z5UB_&wplZ7)mBg+5rMrr)|)XVPwkUwht))~SObnN#Sb>2=X;G?rn zkW;t4SF-eoDqv&hiKFNC3t#jcpSu}3 zpLNeKdAD?%03zs3e|3JPQ7~&&er@M^uvpy>GHTei7~lUSOUX(Z71SC^lNO{X01?K8 z4Ypcd-Ai`!AVu>O^AxTR+VQl+l5f3f`$0uX`v!Oaf+wZL1;*44Ie^pp$#N#9JY!B? zq|%TW2tW_rz)*}qVHU6$QRthlb-<%b9h>gq1I2_@yk4E=vnbyyhG>8uZG^e%AzY2^ z#ShX-4;K;Zu*jf=Ir*;*kIT80nRj(pFJXWzU7dh~#I~M6>>Eu*vd4ea#W?fTX59pT zPdLM%`G}CiVt5Q>J5$}L$4$HHn!Nt>JO?0>-ji>1d`J#%?%Z`I{yi6(zuaqddQtXw z1>fe;9`p#f9*t!>*zoIkY&cSO`If)D-uW@GZwmR|KYtF>hx$kAh4<9H_YmB4jNA?w z0l@LKjwoR{8)f$_oKVuY7k45kCeXhD&$DyA9&RC4| z1R)WJnEXQpiBRmsqB{4*)a<^ z`8M}Yq`j>5y|VTFh&KV3TbvxWIXBGENMh2};lBv!O&5<=8;=Bs(~XYkhcv@F<%~tp zhch0HMP$ghOy)BK<(-o7X|6v~Yjt8+WLX}RY+T5LjDK;niWqGlk^7$!$}YnlV8pV> zOz->7X)I+3^SOx6*TzS;^HsjYt@q2zX>SdcO|%&{*M)uwcct$dO5NPvk%R^eY5Jr2 zztPy&kMjk*T1x##jZHWlWnB5>9*HOZs0T*kh3azk{lp4;3Cp024wWvTA~97JX;wrP z#Sm$L192;Su6!h4h{3C z>}FH(q;3|^>lMO$MSsvw+<)i;IG?);5>!$qnVQ8TvT1>=oLb7_xr90gQd;fUR&30F zib}KPu0{%km}_QKh%AvU%mzvnGqlu-L;sF5w(wV^a3OqiP=|7Z3Z!}>O$v=~@KF%` zxrgoa`yj}E;%zMBC7JqxuOlZ>Gy7fneYN*z;5FX_YrZXNtL|U*DH{c;v8pCXH8p;c z@-XaB;H>4Z;bLl@DXK!#;8IwYl_qH3@L+B~9)!(u+(tTlm4z7dLer*jIcOay>t9g{ zOf**bS5;XaZ>{rZos(XttQ$S$mTT$52E8n+tx*nw{7r2hqrzA#?3=CS6|UY*fi_)U zh)Aa;Bwit5Rwk$Q>j4#(C+Ct{0TmU$63U}x(V(DEr5=-0BtalXW3{xpN=5C|QD*sK ztKsDNB7mHLW)6%2bt|JB!;Ym8a1@G8mu{-Si~v3Aaln=_4p4yvs|jbjqyis6Hys1R zu+hc1eqku)+b@RK{3L{ccz_aaWsa{Uh>`1joSEzQ(%bub^YH@i{1AG7&W}vnY=>;F z>vWIv{8<(SyLtFOLcND4KSAniQS54} zbvT@9Fjq4j>znu|LajEyjJvZStj?rH(}U8lvFqkpN}<(=B*+X5+&e%V<>A*~KNkq< zJRv)r>6~fv2xEg%`;;tt^Aywd{n*>?jO;FY|8WAk9b^F!1e{|+$3n4=&AdUy0vGOD z=aBIF-m?FWvU3oXgzk`xjjCmVsA^It+p--2dQ_**Uf&ZeWpNySCbQr>v zM&1CSM zb`3Mne%-svYk9ls4AI`3!ga}$G5wuO5v2XLGC%i&^i z_&SF0wKBuq&DEX#-~WD2x|@Rid(`P_YXRrlDc9FnRqAMQQK=DpC8w|gQsxRQ!$!r} zg#NPLa9~T_A;p^s&Tt>zmd6Vec!*`W@6*s>I0`mA02?mP8ZL7zSINacNcMjniG}f? zgk#~{nubT}|1WgQ`aZp!*LRfAPiKS%v>h!sOIsN7-|Wu&e_)_YfJS2940zFkIvAya zJTH(-;D%=hC4`_4pSC%ad2{CShU$hLPUqEZ`!0Xq_|4V+$h!}JC$@e+@8f=MZHv9< zJ@9(`BxIE#_mhAp&Ffti@pCZku{u>-TWoF}FHK91$bQq1sb7aaz~jSjqRGgH3;+B} zB;kp0tmVSL%wdfuw(TJCr6v}lMK)~}m%D4C6cI^bSTI4L$m#D@ zR)JcL`a6=A20aD-&*dBMK?*4-I=s)|OgCC_RPXY=MTnvbX(1I&Z4xUUttYp?6(Kp& zG}s;f%&B1GZom}YxZY(N7U}kgg$R^KYQd5T>(tdau57k-aalfd2zt09Zsm%2wR`A4e{FVTVpQVp zxOsViDROPbqJmv6+pJU}vSr>O#Y2wu6_kqBLyLm*T`Ei0~3Qm9KD6#=8s-;Af}6orcoR20pO z%w#?P#Zk?!0>omdk70;iTLaWtravaZxkJC|h}2aIs41g1UL&gC$f{V&s@cl3e+L?WOU zvmKF{GY-TV8k7p{qWTH53GRu&dtXFG zP2Lu$E>N5U-~q#Lqu!C_=Lw3Q!ON$M3n8mIgEubHl>XnlE)hUQHol)syd0*<)|3Vn z$_)Mudoc4q>3xH!gMXs5&4$b!V<2;U*0S(-oliOAn_KY?Y~5r2!f=&ZtjS~HPt0Q& z5M&_N85*a0vH+s)kUwj03Z-WFxr@#V18Uu|3Lw%C(O?wvvh*LR-w3Wgscm{E<22)6 z)#>{uR`9;lfy#sOQTsxg?272cE>#^|3Ux`1p5zz5iSfZS8h=1v2j!M9V8suiCNF5xrq_KuFct zON7tAP-LB`SZ0!z2_v@o6X^dlA^KW`k*UG#YKtcvM$lr zYH$>s8tV9KOZsIhTp>|cE6Mn1xk@xidT*hsi=;*7pu}JE(-_#;_(b0tuRI%lma8un##H zn3CQ{a0(m6;thd>XryC8>EyKg9xiG@6OGRBK^H;6<{*A`b^Q%KkPMGOn?YMXhmoz( zPiyDeYb3z0CDzF?*h9gRD5{*u84Ap3iDf%-~}$k`HvPVo|rCiLoJ6QFw_KpD?ojVd|N!M{oyng{pA^6~p^hiC>=^7-OYDe2+-WP0UFB z_%V37vSGbNhLuHDI==vQ(P>)2y}!4CpS=;p25J+((h(*>8E$}P8cjXox~hbwMJb2l z_No&at(HO{Nml_TBVG1@M}jhP_t#5A(CC-#Liyt+;NaC%=0GWLRR z>w$E(j`KZ?P`1S>Zjol6!__Zj9)#VvL=tW$Ak}5~&3(W5?dOYpSmfvs~Mg_RS_+M<3x7EhEvSDzr4Z&xxC%dr(As;^|+YV0=q2-z6@}rw zSKLLqkwaAi2sQ!;2T%+G2!!DRQ4}8NB8MbDX1{mLzP+DHKdi_<{LqYJUl!!t8f=;6 zZhRy>*(?7B%EZXSs)o(MBFXr{#eZWNZ6XYf4(J~<{? zbu@2EE;y8*)REviPpoh~67&D~Ak6~P(qZ#`lF&Ld$LGfE&1Q)ac^k2Op5F;^xV}SeDs`}8sefU~|KT=h+chZ-| zBRru+QKh;$)ccEz{xQ_u$5i=06_DgtEHTvG$=P@RBuOlp_)-VJ`?Y$l!1BXRLwP<4 zf7yN5LwuDpKsnr93ZryJ6E)9jI6bP4%ZMf^=N`RcJF$kd7z*FO zHG0x5Zv8Hw^ISbSe9%dnKZJcfuHq(yk;*gABp1={8de{>CWXqLxJtFa4WCZS=Szfg z;}muBw-WVEP5b0%B?wG_SRTEIL1w31Ubk4*U5w9U{jgqdTCA|nf9`km?Sl@%vV;^; zWBgKI1~r+a>5F}Y;)cb+Wa!GXwsdh)v_34-Lp$rK^*D0pHzocaOyr7$jl*9Gf6fE! z^nQ2I7;2CFDjSFJ8{-YntMLp+l=e^4>E)CuCuR!OB8y_9hEw-G+s+d>J~SAp+Z7&ETV*9OVB{0)qgQmzwv%Ti^!$ZVFx_!`_3w z7zgjQk+fjuwD(IB?z%&x*G6}3z;H@hW9HIJvyn#P%YiXEYZo~}h0o>P>_B#4KR&lY zH@C`*bw0+_cS1u>{*NL9!0=d?D(Ny8t9EB-dBp7P2MQ}!o$l5jjval2vWHQ&rGT_u z8{wMgezuVFdt-gUtt;mYm;!SpAtnSJRZbLD*XE1&>yGIprP!kqiUfiuf|wzu^tE3o zQPM|?m4*oITC}{3*I(7KM5RKM={X4|YM3H4irpOg{et4XSMhOTjklW)UzKr>TOdg( zp&L91*R%XM==gt^&-pzLCoM)N+MG*MkSSyQE`w38_)W`UTLrPJ(Rq*jJH*@cxBniR zHOG7WAVNYZ){VR7jP7^A&&2;BojF#P)V_$4uMJQ76(psyIvqEPeJ>~;D0tR_<1BdO z4zK1C?J*xsd}I5j-SVg8n&cNn?gT6z9KR*cARA!>+yE5oUaFw?g@BjuTE9h0CuW+{ zhC%yIb(T?7Fmr1?2r{&15R9t?CLHU8k%c1r=5eq8>7W!ovAfD+R{lJ`K5Je+N2vpi z#j~<3&=kjVchM;KUI4kl{6R-C`8W~5z^`?>i6|jheK?;UaLwCKQTaCH^9l1&K(mA( zG6yq8icX&unB@^jFz0~ZS7FsI(fPd5w|3brJgZ;I*)6^pjsqoz-}2ptqxJ=tii#|3 zBVAf8Y}sg0*eLLs>&9lye`LZXqOh3-!$gO=gd~zik2P$UKNBk>6@gVbJ9&6Id4yg( zEboslfoy&6L|DVGsBE7G$b;hMKQcZ#ajacgK963<<9ysIy}5g%%oJTuFHu{sq@uA_ zIxIbT0rzJ+Z6d%>Nm*@6Gwz@E#mlbt)5*@$JB#_h0% zW@5zMgsuG*i9=Kko>;39$ zp+2zi%PH@^^J}8MB(gT&&1#3^zE;#B%qVIiyFi4DBU^sv870er30sQOW}0jI4)$Qi2nR!*Ng8u)RH@*>K}D zc-gLd1ctfs4(w5MFWnnE7lgrWX>`z@LJB1C?XFN!k)mOo#cRX9c$_=7+nJ> zerP)>Q_|U(_Qm;Nbpl3~+ldn8m=z|b&x&&vs+cjl8NTRi5BP6=_{Uu=TATX=Iq^+3 zf9Uk`<=sTm2^`se9S~15rEeiDK=UYKxe^qF%1Q<^1HdSG1iE;q?zmWV04W%dc!AVU zMK=Sc)RKitQ?;!Bi|Wwv6aOth-#{F zW-9Mg(k07>x~L5wncAsU6!EKTk<{+~!eOpOAxxdS;-N?=EJT`$d>W=$e?+E;bqm8W z>qCQ5&NAtP-4%7WMrtNw)gAc*NB!Ozf_3NI6-v5l`sA8{MFv5+v>=4x2!~S+4$q_t zN9??P@$^#cf~xbm-f3cv3}&WyUHSIb*&4I_a4ym#$h#&Wyo_#~ zcvBCr8OMTB=YwoGH&_TE799q^Du6#P=xeEi5_BrgVg3ir8Yvle1rho2dULKGxN zSj^m^i(3$(I)X1=ZFHqf*c(m|q(=zGcz9;(6(LI|F4kp7`Lt^2tRGTf+fsuD(yv!^ zt1x$w@RTDw@Pd%HzX&km)t;Irx-;tru{sOoA{~kq{fBAhwB>3c&O~~ z`f<~}U_;K%Q=sc6{=#J4;~QkHH|X_DMEH4sYf1>Q&gc6`CuDq0L@4kjs@-O5Gw87+ zXkYK;ZP*~JxlLw&tvvr;*njN?eAhib$`@t*InA;i*DXSc<59Vu`k9g3%%J%wpfVn? zpxLo6L&kzX-l&+Mk~t)4up*wtcvj4*C?mq!a{BNA{JT=7og3Ek6*>AXCgmfySp}`(AcRfs<>oh&lN^vTlc z{$RG>?I1SH<$c_a&kK2+usvH%8ppqEfLYg1b@uw!p(2QuQ1|XyKURS`tn)STMXaRPya8$HEo!An z`ls~l5ZL2E8ZjE|eN}ACZC3(V*AB1|_JN_;7f2T~jwOvU-Hs#;0!{lKx_>2qE-<+g zDH&x4`~!#jQikY%0hB;%zvqhJKo{W7$vBxz5Q!v_NP+Np0*lAdXcUb_v3L|uL<#UD z=@?ZMXNpsyl2Y!|ti@$avWSW$iD(>)#P}H*4i(_%;Z{&YfiXe|2Mksa1-yJS6bOd{ zA?`SD2?`F={6qfKOZWP_reDv! z{XZW6{=d%s_MgXJ|I_f(KlLvBzGLd!*6~-s75DDXwT;j9Og|Z1c(ckCuUB00tZ$Y> z#n8el-W9J`yMjjr=Zba^cyaLyEmp7I1h;)9pMSR1%cYyXuG4N7DnktrjJj4Om83y|Onv<&tpJT}Ir z#|#?3R^d|0ta7zmYYbSdxKryh$*t;TR2YFMz*d@P016jN0Y5w%4P;Qbfh)8HCUw41 zm1j_jEm||`MH4Jro+6SFfvIdsy11dPd|P9zqLfU8{WJ#5pm&=z4xP@WGkElRw_feg z6}b3S6B=xn@Q)e8r=?)*J1S94L+;JZIIcO`DU@mE-CaWwYXl3Y88Hk)FoAV z6(&UQrtLn)?`MfXDC`R|E|RdJusPr}_+46$-3YmD804lgGwf5^E%{oF9m8T()n6Pr z4qVZ=??~#suKV&x{hp)S51ib65`A!!w#;L1!4xhW8frQ|S z)wFo$iqp%kIKsQ)&f$4(jDi!z;)h)EfENW{W+~=45XA!!FNz2KQ=rBEsfX*$@D~*!Kw@#m;(m62fp-Pp*!;`UxfcKxBXcjt9=sZV^ma1iidVmX`1PNbzWcX; z7PBvY7+ZWZwme?(hbLeEapC3nQ%k=cUU=Ct{_tl1^sS+}_UWbm$6xn7eA70ybZdD2 z(A9g%#=RzlRl5TQA7q97Hq>uNAqU3g#32{%=dWA=dB^}CoABs60PK#FS)M))`4XRcL^@ga~lD0XE9PT2Qx7h73@xf&Qv;rgR8TN~K zd`~*PJ09B^X0`{(trS*IAhkGDNBA2^ZzJh$Bpr>Ubt_@sN|?40#_go>3(B;MHh;;t zhc@k@jk|#^aP1CMy&X|*g@G;#g&H8PdVgW9PhRbjR=UOIE^(<-TGN=|e8Nyb7(|p&Oq(P@vlQ1C1XMY0`DU*o z+po^!T%ngB1{rFU!v-0ollV1apIYQqi9E^zyFAAv-mJ^#K2NGI*sK?A(H3mctyL16sU%*emsdKW+SKO$MBi=Vr`)?ZF| zAb67Z{jlB=0wk8}7|QGmLl&8Jo6e}y5q8*EyESMtVkV7Gt8glHeuEXayJ)WwwyIn@ ziK$Rx2C7y_tqQSOUSN{u8zmx(OzKd`Tq>zUCAO(WX0^zqDljS~7L76B@`ng483Lzx z@OR7#dtC(LV@W7Pd1=&%`>n9c;I#lqsO%b@TW|84OpsacHK|=jrNf}G=?g77rA4m> zv~XGsZmZE}GedU0&#Z81#8#QuAyfEN8kGB#hX&HBeQK>wWAN+EkkN^IAeJPODI%4| zlSwoY_XKHEz^`yvO#z>e4F*fnNG#&Sah==aV?xo2>e@Z~8}=P)+<$c2S0@_w9HiMJCaJA|yE!}_?r?0gfz0j25#0LYY5XLLG!HV}?aSpiR zW;?&4lKaTUYFeCYTK>Pf2)bBCg>Xss=D#e8HIpD~P$8_KxYEMAqNNXX^)84*#npTL zKonf91J_#zK{wilR+m8q=ZcOGxMH;^gl=7{RH zo_#m>;)jJ-KQ6xg)1%-1!^5xtJoobVlaGHp_4u3lXWu<~{Rhy(iyvm5ehZ}0Gx?-t zXs%`C|6}c~zvH^HMcv=dJ*T^qPGVau6<4X4nVCV%OeV1mvPG7~j3s7fwj|2}J5HQ9 z*p%*rYwxO(WxICmujZO-&b7Y9y^*cs!HuU~b6bt0 zi)D?yiTU?+ktuR}jKUeKbj7ONaR9X^UJXW9jM^2gam8p{(ONecqtwnwr6U3%QsszJ z*dk@tNQor^MQn+XS|jB42&FSpZnR64da+0$<4Kfkp@z=WGk9hO&&K4rxI!QmF%o&4 zT$!L!C+W0lW<#dkoa3@)IZT;0eY!=HW>lx@RjFDc8CrgZmXo1j0=3B0 z(6cnO94+*U>v|^Q6^xrY`gJWeS53)Lp=v?Ml;bmGI6%4-mnOxfN^mJ+EDTu)L*oRY zv4YSTepn126D`0ZwX=Lg@USjUn4KAFp$D771N0<6Ey+&<0~9bup@qH70s$IIfQB5P zr3C6ILHh7u4Jkm5_Y-5TNU+yr_y7edNJ$P+QbLvCVG2s9oD?D@21^J*5<;K|AHc`> zu|uygft_z>nmA4Rhs_z>j|$@cZ9lgZ#ot zcs7?QR!CJAgU)T&xoujP1qg=5Y1KHas8j%v_<65Di~<44{Iu$vR=v}vgM}`^Ymt{D z;SQ}G;Phd0Y5=gkhz-G4u}W>TXlxdkndx*H-4Vbjj4qGC>DD=2;3q(fumP+n?|Fsw z!Yh<^yVBtR=M^>+A{7RO%?Rg+S15o;Twt-v0cHRUaa=5dNRh=9fJm=n$)sc+mo1mO zQ!|PlH8zhd46nUdIr$IZ6|2wxbN<<%C!c%=yrO6Jv~%j9YkI3|X1Nb|#q#dN`tj7} z>C`3?uULOJvU)hQv_HIjFt+*>m<9q658xFCg9|%-Kqscx!Pqym(T7a>p<1k-s|9Ko zOYca<2i4;5=3RWyF8)Ea_*uL71?9Lf3PdVUbNIRF1oVe~7@DZ>N9Y@`LqG%ro@wy< zydqppW$2k46Hj0jvGtsA1)U%w(-cgeULdx}SZW?cOv7*pSPl`(1rS2nIA9b3^iY3B zNB|?$pBWm+#0IhO!AxQ>gAh!|hcZdwVm4nV7n?O4l_Xrq!Lz9t7A2HL3}J$wLnd&k zBpwydCS#d+9E(5^hBM_XmXbr4v#C-hNkGSQ!?6q!mQKPmDMU7n!lTp0Y_@{Okg>U1bD?m=oMv%SKNE!6@AFQ47m66vRe2AqqzrF ziwm!SRoR>0@`rZ-F7d(4ig%>qjaqafQUTvrBWQtoU=$Eom}0B}?)Vsg2e|No0F9#m zEw6ajD28TG+J|O4hG#o}W~JjiQUP3I@q%-mSVBRJV)OvA{qqT`6Z;oZ zF|~dG0h84yNU#FQ{weIN+@6z7L=CgsdgZAl- zy1}`7&ECB7`uH1V5n09V%u;8@9Y@ApfHU*1BmIs&wZxuM>_{$xq!ihc@~sKC&2cwO zaW{-{H;u73bOH;_eb71Atvz zqXk|g`G1DH_Iu2=j|m}u6hbJIK^DnG8mqw==`ut((CkgE%kEPG=o0pKr2&vn zlM07f=d|cy>1?OT2OZS3neSVa1_xI#muE5D6HvK%_!$GXoUBJ*-xU#fQvnm6|M4 zlUZUkqe+`$gF$4_qwuvFrc6rW^EgUnWJYdTLtFdQ>geVdtEWD%SUCAkL(kiH&EYtB1o&`yI(tt-`t%{YZUp z@63jGb`!1j?M2Fc1GVUxKyxitkTnsMm0wniU$BeIn(;powSZpnW~<11WiEc9{Dto! z@Y-H995MdBTD(c3@J=>*ry2*Q8u};e0eus7y@2rxz!}sl!h~3gk_x;+>XP%#LWYJ- zmQk4+j?g5Q*%iPpXmTb&Kt{pyNf<66gpCViV*KbKSHc57qXb-|0kyz|uz@xZLl}fG zCXp;;G8IB76(SCnMF}8dKEe9^bI`~C6!^Q}W3T#?Lqce{5E?dwhQYA#WD%96;&8Nl zmWoSPuqhG-+`-BqVCZ-pgNSF5$vhfe!s4j-EG3sBpYKq+rT1FwYZRqYPe#8ZXoUd zyL`|q-q=Ow(790zzyGeg$U1&MA^B1s#koyX+R@jmPXS-89e%Zb@YTltE0p#9FW2|KSlfTOuzfndybr!u_0Ft& zmv)EN5BipOTPBuk`ljx;4VKh(->PiRDQ`}{+n!X~l~~e^l2FtcU(gVn6g!Q#Zi86A6j2tf|$4SXREg}W5pNNAMYGnkQ zr~y8;Ao>|d0VYb2g&Jz21nY_ZYV1`F_L>&!r^EScu>NX{pAzGz0ux-I1|O`(2dfAW zB>*3+zy-^3fij%G1nVcp`iZc9h+SOeguzL(PU>a_n)v2*KR2G}sY6pU$ zhuz8?8n}jHRUuL#H~V&lXdHIbD-Y8Km39jPR1O5Y z!e&=k?Fx%sZm}U=0o4L{g&1Hki3~=O!64KF^gOMWA(N2>0?Mv2$E>wqX(^VafzSviVvoAzV8@6 zm)`jcYH^7-S)D&u_~O?*)BwW{WA*2Y9dA}WE@x&AOf?NmH+iQUz0(c-Q}un5z$+g2 zj9&)zieN5=C<|xlxnhTuXBING9IBGR(sKAlf!HG9>UeYolPnG=iYNpj880B=_~5oq z4C4`k*jPV$@KtJ100R@kAz*l942K-XCSlkl0*?yRf+AuOd2}3`62<_&fe)f%gTONx zxG)w05DHX;femBh2?9#Ej7d|l$Wj_XL?#GHL;;B;ppXUO6ah6{NTZ4wG%1szV1wsS zWDJ4?T!CbafE2<7b`egMbGRA_S1D#n1T-FpE)*~oa<)#ZaJ%g(sfoAq-Dw$0R|G?$ z7MW~@==i9N+?cHEF`0RQ==9vkwA_f)?D(A9>9_A(FRjeXzn`2}5|fdie7z*A;Qq}! zRV5V-<#ip8TKgY&0Iz_JFlt)*?mvbp7DW&1-|~ubL@FNEgO`BOmt66%zO=M{thkXL+AC;qNc3{0(GmWl!2!pDVCY`rZNo5Qm{5S`cpAV#qbS=b(1MEQ_Z zEbfghp*$I1M%kZOK{=RQz0Bd%+TkPws>Q@Q60F!boCct3v37t2D~=boP5_8noFHle zIGKmRikB<xfMqde@*deEJ9 zzY~yM-kDS0nSH+_^Ilu}omK=eX-h3@O)6=QFKUV_Y>X{vhymo+#^hJU-hPmfUzwa= zotFP7^?F5W*1hDElDO#HNP7~v1$s2r2$eossfyDm6ZMK@qddtZOEAmgt+IHBGTyCC z@EB4YhIETQ)2PcbYO;*VEQ2gVCra1w($uUp6+KNEp01>1sKT>U)NC~^M@`QKsA$>B z@GJ!-Q%=f|6El!7MWz&=B_(7@2pM90ni!ud!X=AfydqI}*(->NQgVV6cm*j=LW&U) zBKbHs7vp4w*yurKDsTyZBiY|T^fQqIEaAa+T9`FF*hC7@;jRJnI6nij=lobf(SJ}aSoR9!kNC4UY3g*hk!JqvO7j%_E2w^eF5`|c2w^*Vh%~28P&JII_ z$Kdf8+-?*jtm6$aK-_w_3y6o_u{SWgH82B> zVsLJ25VZ@S7U*io1TIkC-Z}D?Li}>Mt;-+#4Un<=bLx-? z2AII};Pc;$O2rhA3g{L6Qw@ES^}Q2yJ>zxfMuE(I@d|%dC{9eKYuQ4pgliJ8bX>ZI z#nN#&dLG}v=V&=hSXqKbmWG3yK2Au&gIm8OoFJxz@d*K}Fh6=o5F3Z#k-#k;$A^1E zupAPWO$uX?!kAz}#&IY_9+fI)G8H_Qng>@pgj5`tgy9fE+4wLH9?K`=#Z-bg93vov zaKgfPVMGyuCZ~Zvm#JW}6fB0EMUyjtQIG+0CRxEGNN6E^@-+rFm_sH@xjd~>sMQEH z8lh6dl*sTrZUB=;RVj2aF-iIPv3b{RNvSGVq}m;=i;OcyC%RLz67veOi|?oB!|kPU z*|(DN3e#?u0g=eKbuTsVPGU}J+ReMjR?`aL2KQ^*s+;@3eYv4)q`7yzw$1yXuCuhN zsrX?-QF&eA{l`9FAuK2rrIn2(;2~IS6L>`f^opvcva060)h+i?uW0Ejx7X=Tfox)Tb8fhqD_;3tO;A1pu*& zQ=k^J8z*y{rwcnTkYL4EYe%m)o_)K0`or#vANODWY5(&-?w)+NdH6N(imijMw+~+L z90I=HI{a#B`xN}Wz(0Fk&*iY8=2J#yR z0R@eNg$)A*4c>yfzQX#x;s$R?;{c$j(OcBeUkv6=gQd+wU@UAL$glU_s_(y9*M9@j zd-HM6t=jJV$9;u$gT-|t#g7JytGz`Py*G;LGIQ=GCg#Pu<0Fh#r&8fjOQSU6Se-CN zFN!frqAk)`hbqovNQktgxXc+AW0uj7ZPaEPRapi(@QO4wH$}xnx{Q%ip28>p6ppoEb z!~^_Icz+`ueq^0C>gu;)oG0sW{DU7Z`zBAT2*^TDb4kqH$Q! z8k<@dy3@p=b3>!hM@E`rVytoTj>JSqVv;j4*_o7r;!a9+C#AWP(ws@@&ct*_0>mDl zYKsG;SYwhbDA9=s31$RCRII}8OrA-|G4Po>4)6-5hRxElfmE=8W2l)76(d|uB}#x-5D5|rNk%2hY2Z~s z9IQVhG=z)Ci6|r~jR^DrmdPTAGVy^_OaLV;lz}I3DL^XtTCviuQ9E@)qlB(tkwoEm z0U3#V5W@r{jF1w_2R|*$pXndW2_i{}934ww;tPy?fkD90a%l=CQ9>n1X+SEdYA#X6 z4C0YL1%CvKOp*xrI;|8Ig0pKZF0N7o)c=2l1%~jLaXvRH}7ZXm**8fEGU0` zx2CnKskgR$u(5lzwSN-apdZ$E0Z%BYXaw?5aK9Gy3e+ON$8LX>MzcKCj;(O zx7>Tw23`y9{#C z1JhOBsY>rug?H*9pntleZ@LmPU)8@{vvq>*~C4thm^3hS@L_$$KvZ5fQcs4}#kYG{X&p z6-H;I!5IOa0oLb4awMEih|6(-0jdH3O`mY<>~5_MqOp2(HfS9t7qAqk#SJmLov=lz z+iq~#eMzBEDr`uiDKHAB-t96(cuY}I=9m~;e1bD6*^`msd*8pxt^39cXGBnDeDceU0RkSDNP?0D|0yYaq&41svF1W z$9A93JpFO;?7x;@{GX+>e_uHH%hdk211m4uCJtIhx4S1dymPA~OB)lb`!gHh5_>+o zc?K@D>Gk7D#49FNp3ZEX0GS8Oo_oaz^okvz7CumB?nny#=L}SlnQ?IXn1x6SS z?$;CrgQjAID;Q)Ml_;ff<{PFeDs_eq@oWcjWMHP9)m07nR0Ix{OE=$e3n{n%2PGR}&dymShn=2Z+AGHlM z_KdZ9r@-C0qOs>rO>0SIW8s6k{QI?l0vNBTD|%R8QrQGU8BjUu3sJAAY%B#{Q4MIh z`=}LoMRiNx8?QiXv!8o~?@X%~CR#M3Qt{vOieFNT4&OfIf5a<%YB7j<#dHfWiXp%U zi~^O4PNcj?FVnT@A&ThJ?(w$Bi+I77W+?u}Qx zT7L?I6`Q9&K(BcD=cliJdiup*_D+7-*#Bzd$*bMNZx4@uczW{V!SVM`j=x>o`+Rcg zNzeEa`1c3@7xmuB+P?AXp0Uc#(TdK|%FglXuF2}|sYkujkNRh75gvPI9`#Mv^h{KD zjXvrgukD?v>z{huKULd1`KV{2wr{e|JKZoi3&z^Msp_7|s_u!(?um--iK?!#s?O2s zj^V0~@rusr2VD#0U5od-mhW|~+-;eCb;>S(hm)@F-08WS{{M5Q80DNR<2la<0G1t(F?NR&|%Wt1c-F?Cd7;I zu>xE)(or22vS0=}=m9n=(vOVd2i1ZSU<(g)(1O5dr39EsekP)yiQsR<`x^j+00SXV zkAikJ#RsbJ0ZN>|0_!h__{p)?WZ0_`>{T)5su1EQzy|PffjmqgCp3^16u=A$Vgv-! z143wlVbow8B^ZzK$M}C1eD$-CPz;4k=d(phk=mfN*tJfN#_m?zTxzRRWpOCYc7O`v z0I1Cljm4=2SmA~aoz1DYISn=kz-V_E9S(!Tp|_(cm&lq0#ESMPhdCHdi_T>R=-n28 z!EH6TZ3Z{e)WZeKZ9xNZx^)g{BS0!pqp-Lg05gKgZHH=s+68zate63C8ayt8$8Cy= zw8X^N(3cBGYrNiK*J?SX)~9tw#-QGb@t^U(6o;Ve#}o7tj9p z!pXnR9sgtoAXQ)>sPw}TOg1n>u76u>KhU4S#-qPy^l ziRHu5g(pL^I|%0=9q)O?z`0lS{mfFxf7dR4javK)yMQ0jAM}b3R`PsD9xjJC-d`m- z{~?oTg^i1an9D{1rJ{GLxo^6qe-`x$s+vzxu)+PEAf{l2z#MQPTnvVfBM9+i2`OAo zVW_A~4V@yR;Dq=P4km0+YLbgG`(D7*+9!1F|$k{jvBTPiW%NQ)ZP~uRj zBaFIet0~T*iL?mJ%5d-;DHAWFn7rJKk~^`vx6E-Vz$+}VsYy3V3So9c{q1|TH}BNkx>K8fx31t` zeQse@THgKm^pd0;*xNL#;NH!<)g@I;59&L?O~0{s416mG_vMP_-n+GJB~^`u59@B< ze{>txtaw}i^DFAXlS`|ciz}g56u|t7hT=C~(F|1b(O>gFq84alnt$9Y2B%tvU}-g2xOHfzb$F(2_+6ubQh_w+>4LyU!#!i~*S5N- zJ^@AI{UnOZs~+#T#6|9ePb%ilL2Fw9saV*CBLZR+$hHn-MDr-dmXIV&R4P^v;OYjt z%<&;E>%=ce#q9dg^!gF-ib>!VTfi%hP_IC_@CrmN&K9@M=C{t~wotElxw8M&`q4L= z$KRn|@#OPA9e(+jgO`8WdG_7f-mCS!S5KaP_w4LXC(r-#?Cg(+r$1~Ryjs{i9$nn= z&aL;&uJz2Wbxp5!Os%$0uC|S@wvMi}j6hn4SK3Ba+J~3h5LyNnoBC%PdM3f=Koj^J z@Xj{(&ouT<*LP3ClYP_8;L+Zx$K8{UI>xKp$Ew;!0X3~dH7(v+SV6`6plSGS^F&$m zRB_8}Ve7)3w%G^mQ&laa1tpcK@hNVt)-Dm5IWz+mZ)H&(Jhn$9ijb?KRK{qnHA%5wCz!p`>J~!m|NtNT!mKAt$B7AO;}?*;tw- z#sR6w6XJ7(*i1eqgCCa44@>5SC4&(-h6syz1wKiFPZZ(e1lU*}CW;dp!3l9Q1D%Wj zC(Yju`}GuVV53BwSE9 zCYTly!VC%H;3!fOTT2(4xk{@@XOkIiQoTi@GmAAQp~@go>iG(t0HOz@NU0Yq4HA`6 zsxiv6M!C+U)SJ}?fJI}nXv|iP*`k6yLrqH9Lev1U>XkMfK;_V>ojR>s572oGdXLc% zVKPLR4IZn(V>5W{dJoV8r_lo&vYR{}i`!-OIISKa6?TBxWjDJaCSVsHh%o{_A9;z( z7~wWXMp&Yw?Q!w0q$E!Ykc!OMtlZeF>v7q);<9fi3#by@9WE8|^6vU+GgAp9YWfjHe6eZ*q#pUFC(sM1zsh+&+MNMtp zi<>h?U(Fr=apCko=1=}>?%7{~V~p>9-M@6!Hn!h3vei4iIlQ9{cLUn z1}on2ilx1mz$?Jjci|PoGdn{wJHxX(Bfsbs-Vb@j2V)l(I`MOw@s3x#qZYrsGIH)1 zXl1RR^@@v!E{80BO=9QUw+3ISu8R#Rb=_lt`fgvO0!T%xceZU{-dD%lD5a@+L13Zicmh0 zB4;o)oNzgV2+Mkt@O%n^9}cBL0;PhZ7VtCzzD_7Gip3VG)S-|$l@fiiZ1j9o4N~ z@Q)0>lGk^S0x`JvxE=UI!Na;+_iKD=QC?dJy`mBI3NQy=0bUE{CDlzRWi>73^_>@9 zQH!btlDb&~8-yWu|F*$Lh*wlMz18mnZYF)34;Tg7Xsq?ECLrfkyM5~*=*H5wGB)3l zivEdrc9KG`@J>N|xtc&Hpi#68L#b#To^1n0G4ifaK&dz{d)qy}*fYM^JN~Ay)p>2J zH>;K(TJ^X9af#{o7CUCQ-blq;MYa*ISl9s|r6=CmG3wjjf$kFZZRLP!@fK5WbKw&2 zO9jvgA4tLNsm-U8TTiEfQ6OG%p%y-`*a2Sg9I&|kd|~T3_|QX=HosUq_WP15-N#liS{jEkNJsdiU^h=fDD>YjCl9XsL5xvAuu3 zt#204-apsjop0@%ZR(z`@0hG>pLpCh4ybDxs&DRVXzY5_*jLdwc)ww^tZ|~KX*$1U z?tb^uQPY59WGbLqWXOr>azciT zkS)dMiSc)a-CJFx2X(vwb7w5In`!|5>}T&3thrqU~;QoVbdw> zIwkN5mret`!eh`y81#`weWXbjVb(=hbP-lP^a_VQ0oEr3oqjc$hl;sQ2ejPO{aqaE?_?xf_%)U@dIEW|5r#AN}mfB}kx+`^>1 zqNM93$=6F$Zj>coFH6oVOUf-v%qd0e0;L#?3E8EIIq;$6>vvLb+)2Js8k2L|m6;Ql zUwF5@r+;m4{`A}VlRwX&{QKOq|Cl}cY5MTTvF)$=7f;*Ap0tl{_swjLEN@M&?appI zUD!GWR~hORlRmFFgkG_A1}?hA-OpzcuNX(YViuJOB)o}u#n1=5VjcC0U$aBxa_r)R zB|2fq;(}kD(h2cSqnualeAg?GlE@PmpWf)?@={2{dC7~0p7*+&^}L;)0ZR=`G+x@` zib@6aiXQOLWD^pp08-IDwBU7EKD#H1MC8pumIN#HOP+^i~(MuU^2D*a5;-0q+)p#Jf8;ZW=l9MrGT%O ziVSkDTF8*I=`to)%M)9~GKWm&luMm*ksWx2AY8*HDw!k&lPqIWl^l*vB(f-FcD2l* zmOC|Ko1Co|P?QY3l!_5kLj_=@0|^P&3K>Q*$1D}tWO9#2A7`pFoX6jjvSF0al9 z+=moBtSzaiE3Ire-x5+^R8e1C)lggw)BJW>7v<^IO9jt2u z41vj`7B7^F#=e?n=m|)=g}0)``w-Iqu(==1tJ(%0bqqb~9I8cljBFsS?;39C9&PLy zZw7kVJK5Mh(a<$s-#K2_F^1wResv+JzBJ$oKqDIL>Yr@wpK3$#0;a(PoM{0gm=Dah z56!j1xB4tf`|w=b@EjQ1p;62OF8ckURrCR9dAgqQrQXZ6t%d=t<&wt=*DTkIQ~>ls<> z9$x7jT5B2FY#83I9o}u5KImUM9$9@>+thtCCojsNv5WZz8cBr<)>A1~4&Ni!rn=*A zXBONotSrtgyPb6FdUSSfWO}wcInxoBYH=s(%yDW>oKg`d7sbm2NeV%lN|2%Ar7PI! zGJ2XMJY7Q05EC=SglrixPeHm4Azqgg^MGJTaG4@(h7beBOyC$ITn0dlLy|c$$-=Ni zerOywB!(Rv#R`mI_`7L-01w39O}*x%Ua?a@wNXE@Qa-Ve0iRjOS1n{eGs)jXgo_}0 zoSznRO&tbzp6c-a1|(jgCI%>>QTWLSeiHmO3GP!V?jtGgH{!703POIz5Bi7~_z^eY zV*oqw6IRd_W{5wVK;qK)LcUI;i?v7Gh)yYwO|OX0s!7Os9Dlt&{zhZmt)|3V4av72 zr`&p!e4{!kuPQOOB0l?JY-V|M`u)hXdl4yjJjn=2WeBBiNQpbK*yW?hnNVbpFR;em zG)3p>BeV69S=xvUZA6;ZlcMn?sojYhPlDQw)JAj1s@*XvSCrBjrEo;b?GTv_!3u~{ zSRzy=kJjMS7#wQ7U8S?BfW7E!YQ0ruuqq7}rO~1=niWP9Kxr~7eSJ=WW4O(ck=B@K zdt96|A<>nT;!aL?r({K>U&;PJ=_S3@gzt27Wx7ov=ruTmw z+x*(QaMn4#-!Z<^2lQZhXJYNi^ybs~ZRqVta>dEy+VS}6voWM&$Sk<}_P?Cp{d{`! zbZiA~J{?V@Bx#68!zu0;PCNRa~ZMEqAbt@z9sKr}e@oV;? z`lRBGS0GF^_fH`s@_n#x@}kNR`hBooKNfHiCAq2N| zsZA@l={PDOi64$<6X`OBK+l)iBnqcY=}|~sQnral*3bxwaI%6%lQWn~7F*5Z>4ZG3 zfURXSR1BJu8m^#_mxYSTS9WUmPXh zJg6!tugbq)QEa6{Wred|yIplztJ4IIKVbuELn&ED#UJ^=8F+O~n3wt>63>7+M4Z+0r-H)HBlvzJ7KBCV^%&B8|?Q zkmv+(2}CL;5w8F?3;m(Jf4ZZ8y0d?}%R2+;=$~l=I@$|NW2R$pzH4}?b9k|HXue}; zu48B(PKFVnRJ`f*hZ+UAcF^*4J>$#0=jE+nLIr{sxWv?3cwx&?UptQ>s1rVhr=e7g z%x?Ik!nfG*hM|Sci_RTDDv*h^t0gHV+Or;kd8`Gd7oY&X#wdFYmrs-uZla_j5Sze7>~v`RbD| zHx9nqI{Iek`1`%HKkR@0r^Ay;sY7U#{$Zxw`iXu(JE* z%I+7-J6|kqzXan703NZB^TqtebClVQ)0wT~>Fp!%_nKQj zURXVuT0I+Gc`>;B`Q+|b3rF9roPOKhKU{R{X0%ad7jyJff&v?;rBlrUiN|QanOjiT z*wsI_+}=6WP(4^((*2;I;Lc(^P+?z)6npr910DYw+*>l$*NnwTvoWJ+ZX6>qW#Vh{*j&Xv5oSH zm3-Ao_Op;+>ZS=FV8Ht8!u&L$S9MrF13th+4Ac<^J-?zY$*j4d3s#9RJ^OLa#{JOtr>ri_T2FU0Yf|Svzo0 zH+a}M__T58Y2DBvIIQ;W*YrNA>E5g9+Nti?u4><`Xxn_yvT?s@?QZ=_>Eos1M+*hj zbNQ9Cw<>0CKA5_GeC%+lfX;=$BHZ*oCj((T^3n_ba4t?u*&N6KSc@*_)P zl{w*|DfYf0`i?HLL>pPC_S{yvZzx=Oa!0n*o*}lTiOk6YQzGA(z%#^i^l=>HkVa<=j6r_~pKTYUC!^9TPryZ@J|-9L=2f8$+v z-aUEHHM!eAw>JbX_O<<~t)uy!v-zFpGh1g<>!*|Jr{n7YsvbZ;bFpNYshvs*HR}A>PV$(YfYvcHe4l1Skw}GKEaQcR=3=4ligMn1Og9Z_ZrIz3@@=<>+g{ zVaMPcJlQ|(`-%z|J0KTcfvN@E<=PKZI-%`=UvJ2_4id%=CX0zIHA`d`hs&5jEW$^G z;9w4wsuYVXMv2WVb65c!t(+ueg)s18EIgKt!*Q@-%#dJOAOO!N0lI0YJ zoW_zfSaKE%{6HClA|~O5p*Ud(K^#Vu;s{~_hEEP=g@>@|SU!s&=91+cs+vXDGnhsO z%gAJzm;wt|ZWrpDG60c4ZoiF9E;q@=S}fW;I(aRyg#Il!)Z~)VS;M zo(#7&$?Q&xipfq-x^X-8c2P#bovfnrjDmYB)d(ub{;_1?y=>CV9w zaGS1e8?I>Ryrj4-7MRk4Qqq^dn zdc-T5tD3v(I|rM4Mw>cEfJ-#C3^lb5H@A%dn!sV}a6RyfCg>GajlDjvXdisoHgK04ah!N&Aq+4(}vz30OI;4~|X9+XKA2fJk)p&2;zA_Il^~2Ijl^=h}N`T6(72 zz4Ki|OTDA3JtNEA!;9TR3tcF~3!MNc6>lvjB2wYgby%%#Vx{jQn*s&(is?6aktXJd zR6vHIQ9wozsQ{cy#pW;f0(+-z2ci>umn`CgAXyf^8We|9>rYY8o?n+iBNCSZE`c() zeKNOoGXJJR#qmYKiVLY&*?ocV`O5Cg3)T>?*gpDZ_xSt$vp*cZ`18{*etP!mZ%42G z3LInS^oOnEZ#Is;UOW79_3(?er;zod%Y3=8cw_9i5?wx#l`0SgVr{Ap|e!sZ?!^ZPJ@4f!F z{qO$PKR#VrbUVf*w@X+$Do&0G)G+8qsWQSDT~_{RU~X;W^Y7=kz8sx6>FavZ-n`NH zc%k~i*q!{28|l>_`7S2zEyCwi?f%!xf_K_&$H-doQ@veT%`SkaK&pwu3`ABi?chZ30 ziGn^7;jZfBVpmLJYGLKQ_L;7guV-KUzYEX*@6zf2SvvXOb4UL%dGNQfy`M(5ei~l? zX=wGQp_RW3F8{^5^ymJCKlRT2p?l`X_Q~&B#=mJC`MQ4SRjv2Sn!cA+JALn?q4~-iYiTcY3EYwbho~Xij)+ zjITDtR_LP3HIa9eo)WpMQ0llXw%-ui@&uL~o+*=SOc&@<#p-04B2lhLkSXG2@;IqH zMk0$6OCv;5mq6;^OKp6qg)cSnfnX?%0;N%?Hi~s7nZc|u`x>5VoDQwqql=8z$HbfB zk}QcS_T)5YN`@ybD>6MNDm^zUBM$~KGOk0QW}s>T(=gzQ2~5K%PRuQe&n<|`x#`Z% zO)4#`>K~ar_^-#8oFJe$~lF|+r@!r|AmdoRbn@3l(u&mn7yDKWpM6-j&s0y^!Z={zAeH}^`Uui*wP1X8I!O@)VWu@m9*JA0l$qR zQqcl_!{H0B2q6jxG#Qnx;*dntASV7(Qb;I=8ZHy?3~HW1gP^7Z0u zNOh4al}E`l^T{e2PC_P%$YcQ}TtKCX7<38n3Km^Pqbf*L1@IOEMM)sZh&UlBghL7C zQn3OCLBb}>SriqMs%6miOs0XuHt_`(k=!QJI#p`BN?}z>O$voot8tl)kxsSKEH-P{ zT8YS_R7V)hiFQk(!;v7uR6QVP6Qf?Nf-7ZPbFU>5xbG@{p;Qr&X z%9e_T{`!uIHt#}X_ayL&%BH?@m|{_1^su_c;k(#?G3? z?njM1^{oRf-D92JnNDD#UZ4k4El@$nk)^aT7_WdePo`T2XW+WV;B32hrlW7V+dJ1g zFz+2&>>XI>^v<>Q&2#|A06H?HLW#idBa^OZeRD*m2Vy!`3t z)!&|e3B6+X40y%2KpWPNUadX-5?I8!NL=vM<}u*)*2y>9C*N(Ke2?(M4&*}$ar%Li zJHF>%0+9+}CYvYUt)G6odiKrc={I{P-vF=JJ^F6_@cX5MA2*-><;m-R-T(HlePdH4 zg*T&&GP{_iqv4deAU&I9RcT`)6Yf_vj4W^Oe*LG_XW!0jemORGHZuKeXyUMcc(RcM{X?CM4gBi!Y0exMeY9C?&~K zPKtt_tRyEZi75(Vikz4x19m~ol9RGzq)aI>U4%~+;t~azcz$RMFC>~963GdPUDjZXmMB-9;?LT+;>^r8`ZFWsM6Z4fDnIbH#PDMUQ6-Yp3&TrfyeF-l!bUdoY?) zK9YTJDD%!hMwvIGq%X6uC##@4^LA&(?T++Y?Ws3flJgo9bL!)>YGX31BhxD)(jK@| z?m3gn97(12q!L?Vku9mn4oEJvrxZa_iyacuqd(9(;(*~7ls{egx3;pP2taQ%Xd@yUyYy_YlFFQzu0`@CY~ zY!dZ~gRf?Gfmb~HJ6-{SUNJbcJvfbc1q@$6ulPsQ0(!;RQv2xQJ5tg9GaE+UBy*k{ z!ln4b3@RHwuNb%hdGg>TuRwKT=#p0q`Di~^3)CyRM_^DI%wYiJLM<*KW;pkZ$J)Nlwr)fwO z1raYHhVn?Ed7M=#|V#9X78XA(;t8f}!#k`S$OS@?Q6Ma&W#b>`^Uxa=FrH}W$IO7hC? z-MU{@R8e=Qy5(VG@8kB-rrw$Qu5sWM)y@46>N?7*8;TwRk$6;E_2^DbZCO=qNo8$u z#pBY-1|Su8Yg+FtX*6ByY2=zp}NrvbCqGt*5HJr>3i~uFu;vIM_Ti*fcoMJka0h?XB+fSG4s`b$RFdh871$SNeyRx(Damy>p#| z^PNy3mY`jrUNHpzzYm{vWt=KUF|788| z@QS}H6&E$PfmBR^FF5P}kW|d=oWNe^J7-Jp@kS~jzw8x1zV8*=$KP%~dkquzib@0|XybNVA-_w)~dJ!CuwIeCUoAUh{MfQP&bA{ATEE52Pj z`DXR>_2$Xzz2nyhh*xYp{eJoI56~;V{@49){@Ob_S(JYxLNBq4n0gvcjSn&LxDK5$ zAwI3*aqGm!{^1XQ+j;e;m9y^`j$SVvy3IM2{A#4j~C)%1lTA6CXyc(!N&sJJd6v#4Rdir-P|yMhaKjohdHUC_V6$p z1!Ey&O=N~Tv)$I#=!rIyLvwy}-& z;gyboh1UL=#=gn=zVU{EsixuokGA)4YAekaee0cb>)kUmr>Ccb14%+TqJTt>CTD|< z1I_`QZ5+VZ#$W>`=NtqG5d|VDCnS`S$k|}K)AWQp>7HBl{($%GEx;JNd-~jSZ`H4M zZ3GAblD^+wYkh0=m9`I*cJRwO2g^E#%DIAyuHnkAkxJf3MfYfB&sb&eM0KCIc0gJ` zC~FWXnub+PBkJZ6P4g%~+cY}aGOB4E*R+W=9I=KY(zJ`T9FeYFr0)S`s z34bHC~I z{iajtO(*WuC*P<}N~=stt2lP8A}O^j@oLG@D+TeF@?tN%h(7l`BIQ{`N>+GEX4vUR zVW%I2p1L1;>Td9f+kwY#1RP8AO}yfraM3&Ayx+020Vht!r(RDls;uRU`&2Xi$_2i1 zm9GF^vD_t`?-;YT3G__^%I1D~%b>hnAm@&$dPP%wxsfk3_lk_$UID8`*Mtrj#emGx zEi$zKQ?G!sA#k&-USVsGu(ccZik`8?p3(n`TG+j!s$=k{f))GJ;(bB{765yM0Wtwt zA$C(F07xX>WB-=z58>)KSXAILIly)n8@i<*s0Hu}aL>D50nY7Sv8@*MP`O1>!+W)W z_lfX!r2;(uZLgpqUFohUIvUNuAl;y`9S%e!l1{*R(#ZZEL|=ED7ah%Zb7hiTXgGMR z7@P`Wpm82}vJZ*s56%3-c@VK|BH53@2=R6g_aphaqnIQF6^Cb0>3(chfG6FXPIf1f z8915;iRI(w9qb+uzec8>`1j0*9M2@8yi2#gQ) zj|=jP^9zUvUJ)IdloXT@>l+)!j`F96dXfSd;M-{--o9~>5vNXiMTHT(>4%9T{~#pYjN$4)F<-9C!%&%@OYUn6!?XKYTR<-xncJiy+pr=+@T~~EeFYt=i zj^QTGP+cp(re(X7qLKsKMcY7~-7eaod0}?1_(`dN^N)@2zVF?=TFuZLbKn&tO+D{v zhKHEL1HvG7q++}s&mudmqg3e6mp3Q=3(&;(Ej+dhO^SSqIG z#kvKFZc(CJlIWIy0@y1)#O@(LNcO3PJ()5#IXeoxLIVT_@(L(kp`IUCEe@+zCiLqv z>!#ec-oW9e-??%0h*yj!HH?A|#v!6S*@=-c7tW{VmDKi%CMQ?l$roP>XII8-OTxKT z>B5F$>5X#vooe}8<>EKenJuAdZA`l~qMQ>*Z2WQ4fI!#RukP)Z_jF3SIl`I}?w!=9 zQNhQ3>3+dXdZar#mW?>-i8|(kO$LtPgFoqmKjDQt?tw{Sp%dLvN8M2g?ym7HR6GkE z$Hv65vEUdB03W)e;+Uvd8akSSi6Y{nNW^FgC5B3mp|N5Z-Z4!7NSbdb*((sw4#Il? zf(f2M5FUX9k0TWCFuH#vJ2=`qEY?3NJ~%!;JUJoe+|k6;l+*XFUVeJ}`pX;VAEX_> zd?ohy)%c^SN8_#~C#2uJ_9Q3wWmSD%ZCgPj?^RP@A-MDdR~8kGugYul%c@?MSLWB$ z7Bn;#wzL+twiUOvmvB1DI=JPXT@_v3mEAp6J$==E19kkNhM|$>k@40sQHMy%l_+>J zb&o>ZtD5Rn>H5^V0j)t`FpW-|$8FOSHmlG!Bbu2L&n!x2SEO_6vbin!{5Q&l?^O$b zP%r*jz4#aP!rxT$|4`2ULvH(rbow6>^FKtUzY7h2A2s|o6S$^4Vl$b4=Xh3WvaU+irdBVn}xFL zucT=&CaydaTzcGpF{AIoqn`5*d1unwPu*!wzEz)ey(S^GBJN6Q?B$}EO9jyv^CBh(d@ zdY^2WC!FgTo8}DbS_V}>D%ytR?Zfh}F;$;oU!qugH00n`F2_57fbxII{5zjL_0j=!A; zp(2rPuD~c<-B2zRS0^&kfrvo3VbLrSSZZ-zZdgw$noV)0;|`LMU*a7P5SLV|rF1O4LyeB*sQW8K}O zC~jdyLJ%J9gGG7a(B1@$HxchgB?mERp=?%UfOl*}z|q8jqY3`;F}|_k-qA-qqWs+> zyuD+C0+XV`PbGz&N(?=f5OONc?`XJtq(3>3O%L_+hzj+KkM)QQWd!?xhfNRgWF7JM z4i5=UN{By~a{5NvrS$Y0SAg064i1clmx&Q2C;)p`fa@u$EH{ZT4v|sA+|g9hD7v z)s6WzO$Bw$1@+CZ8k+O#8(-Acl1M1}^$MIT8ynRp}Z@{^2*`FRE9RgI0D z{@T{wibie`^Z?pR8o6aHJg5N$r>~|1Jdt|K8+au(9Tg3{+UC9{&R_$FUk5~@73jo{ zS3s?`KM9SMZVpwV%hP=YK zS1N`jCa7prX%neurP>9BepzX>d&RoayuR%f+BuI@WrkI`@dLn(d(KzkuUWBwJuD=%Sp^PpU>-}qj&v?-cd z8nw)hTNi}3CDF{PWOiLTw<(+3l-OR2%*S5RV=ab zc+$s@OXFhCd$WVQ-DutfXFtNBV2X1D9TmmIMl-O{bZj&Y6X}MIprXPls4yxj)D0C% zLx<8Zp$uFo10TjDgu4^M!I6Ovr{hAXxIhxl504LHxE~D&J`;WP%CR#y&R$Eu`ryvx z`!~+ty_#|>HRX2dncHb+?}FpiGq?kO`iqQ*1({i;na``U z@)~mrIR&NNC1pL?nWgtG-@9`39Z#@L_i$a$a4p10UGHdp?^r|Mc;moC zGg$bBB&`Bz+prwK8BqY*$CMotDy~S)6-{mxEgF0p|pF?CBVJ<{nO znYCLs10kK^0VFeBk{Pbp)+w3kkj`*qGi}nDR)ECTBDOV)Y>gAvhH-2Cn6-9f8c;KA ztrl3T2CbF+>575rvcBokUQ0=@rMSmZ)MF{^wiNOVh1{va&dFCD>VkGvK1cboRhHW% z$!?f>chF6$Mm z2NiliuUOkPKFJ+ZbH^sRxF{*CiOPcLoApqYiZ5sk!AqHO23VFqN z3$)#Ak5}}*_lp06Y5}q171ckX7VzpnV6T?nOC=n{_@_p(H>>iAJGTchcD$mlebDX| z_T)%8Tq#=G$SZ01ppiIKlGoC^D;2w5;X+0tC;(RkJYdw3gm5IfxKL59bR337!mvpg z4-%S9I_!q}9PjXNu3vqIIrs(c@Ij)J69s`}pnzJCd?<`ScXp_kN4T$Ngg-mfm*h=D zxM2?CU7Sfs6cvM|VF@%GiH>t)5*Ta>%ZtYLWw`sgGyPaJKQ`5uP4Z?_e7uAB&7UpA>WHM0{#W;`MV8=Z^a&Mlr$y8DT+; z&|qfh5q5ZpHxP{2Fm{L^#fOPu5*a~W{_znpXHJ~BcIEPe2X}K`JT0zxRo7O{0sq0C zlE$uAH67U{^}s9cJk3kbE_j$*l<~48Gp{r&uk3MN8L)`-rv>-2@*g~VmGQhdGq(h4 z?wwr(j!z4!UX(W$RJRt^af+bvF6}R?o1T}~W|vpzR@LR#HN0wUE^2NqZEGuPZOLz} z ?=Qk4Jj*`wR(si|ox=g%jdI2j!u9~>U;8R$>-@xXg9QA{@{I>nJrcA%3EQ}KsL zs6%+?Lqx=3D#npPat`n$$A)ZP4+WKqTpcdRfCxClYwD(oD!(PFGykdK-IWUTj4~$}O zqynNF3QcTpAccVXQ8WX3Mw@%z(*g}KhewX?BtEuv!agQ!K-e(=PaWM8qW~v6yF7Ns zjM^(O-wzo5Xx=C!65V4;n0?6(^-t-St59;^^g&dH`0m4+3SX;o!j15%+dtwAF~rWWAr#vB}!n6WFwUL^W?m<6d}5q!Pe zxB>&TVFlcS(!8d!tnUTfv&you1N0%xn!;q44QMV2V8>6EB>F|MenF_8m+Iz~x`jy{ zl&O*EUkirJg4>DN=^{aMj$N|+lql!Q(Q^gna##I0KoD;qjSCoPt( zKWLV>B({Z7c^M=g)8Xz~nR+wL_EnB*o zZ_EonOekkxmb4|Fy5Z>^#voJ4&Ic)upS!yr^1&nhNoaopIslIez@zmNytea0xD&OVFx-h62w`=n zu)0H7*)d+xK3d*3T-qimZ5b+Q;TN~`7q|8SO4|BL+WSj8`pdWjWxRoM-athUL}f1@ zW}vEnsCr0HB^a(A9;qH4tsWVz9i6Bj6V;DN8YbjTB2|l6!;$Jbo+)LPHfTJO{bpx?00H?0ksSBA{1gT~bX<7&Ttxp!*0M+3fisY|^Kv)Vnm z)~(*)!ElwY+huF5qLs$6#k!H%Y9K8GmYRNDUB9Mv#30bDsu%uf+W4Qk<$tK>|1L5A zad>j82YAJZku$7m706o!V$QILGcv&)7xhRKgGvowG1((gawp`SV{-1eiaVj|XIx zojLd1!mn!EscPH7t^}WqNbI$UpT1AKS3t&62`549Ua?zZVK3FNx8&N_>eC*qu-}_K zSZ((T6cvr6pb#Wi7b3!m=;BClb|5%Akr6I#C?p-@%EX~qcods(kc#*<=IeiP{_Nk7 zU;Gw*;47R1Pzy((7IZYxo5Bocdq?@% zBpQ~w>lHpscW-yPH`~p}ljiF~^Ye2L3h|4K3p;u$>e$(c#4}+DDPf5x!;c?}Je3f3 zG9vJpzjuPWdo}L-AP3Qy5#By=AxDlU#+3A?TL4K>#0{W9zD!2%&%#x?g0P0-m(@bC7M&#_~>QX zohSMCvR^&ODFTj>nOByTUk(6Xaqmg~oyRZJpA1OH%bLdQit1b9PW7G7x+x2&00(b^4uweluj zNquKgRa6y+WkjiA#Vb9#{l) zw6h@HmWn0FC3Z1E&A_2KBfD5%PXcU!&G*1Jg3qd^?V7Qs*mexaPoVK<#$~B-Nn%`- z8x~cDC5>TOXWDs10O&b^zotu-~b-%Gm^=fj9{Cx=n7p%iS=k)R7F&!pdf zQriOF$Y*Tt{;XShE3+<)>n&qC%ZP4zL}wi{%ubjVgyv_3W4B z)lI#;L8VBuI5D{>P|WvBX9lFReA(Qfe11SW(=WF63eAJ^*|EuGvHrEh^hRp=MrQk7 zKL2~g@*kD!e^xF3Nj?8Zh51_!SD5?cRqCm;SCWrkPKr%E8T;Z{MjN+dOs$>Jnnk*K ziD5-LwIEl|D3lhd!X%a(CZzgdk%2#M>>Dxljew)Eci7M)(032%x(2nK1CyLSRcnu; znI~)HO6ogAb?w4h&IF*QZM>#!thyDVs%5mYd9=J~w5(yQq<*BRcIZ_NKfkK)Wo376 zIX9=g{dsxov-0L=<&D{ujoDQV&ubcT>gsbE>T{dwUpCk0wbtjiK@@Q63p*Q&dCeug ztz~_j^8WUUfsU#{UX7r)euUpNKHMsr=#WXfl&apzDZb7$WV8-j=Ekgxaxe;jMh-t?Kn#&6{_ct#2l`zEN*}t9t#da{XJy+PCu6@8qjL$X0(;to=#3 z{ukB8-&Gs`P_6%mYVCi?m;Xbu@DJh4-^Zr^GHm+Okp4%3?%QGQn+d~P)!ZM=8~{^l%-S|I)i$JV6Uf?z#hejg`{)FBLewjj4=UAsg&GJ3cS6!R zF6)|5@kH8gv94EY0AA4pykblRCqBeLCpg0}0&p&F175+Ouy@;Qg=)HlkXpdB!23^k z2dVGnXVhY!W7Kj5d%a>Cxai`OojKp{wuAG|_CWFW>c6+~#hz{$+rqG$Uio=AkXP&$ zS8U(2J!ApbX4t!O?d$ew4_55mJiFa*(}zi7kuh#q7Xrcw?|c~NcmR9&Fwx1Gf_TOJfAFXaP)$AA{iS zhGOEKD6WU`&OlULNC*@eiJ>5I6cmw$p|i*yK1|;rpMdb-Be78-;KDmDAt3hXk%Z)! zljo0LxPIc&t)z1|5>BVZr(8LD;nJ}y7vjzz3rq@PM7U9o5J*P|#9$)n2#IopLJe_a zgt1tWzFsj$LXICxym0-(&F3dlAB3lz_c|I)iwwjEc_F>&xL|i$jE{G6kpJoM;Ina| z7mh_;N{PRE=~&wJsI%t+5)<9S!hE7*f{!LfCZ7z5jbw-TkbTHhf0|n`ixKMO9Sfu- zKIYu%ix2KUE-Wc+=`3sQDsSxpYVoqNB{RS3-m}8==f!aQ?y`)R0H|O0?iBS0*+sx8 zGM|@b=D@rxds0yKytwv7MPos2YjIOYX=`V3GZ2jCg8GL1+S-@ZRXOFQj|=ne=RCcU zdH>?=YbURqOE`5DJiritW&oSy&A_s$NIJohiaAI`et~!XEza@Zv4?+!J@hMZ#6c&& z#vb^0?AO1=9{4Tp;Ai;5pOKutpdk;kFwQYSfvK0$UgTAjR<>3(@fx}Ox(*ESDHu0*OyMb5KwgCg_uY;OVfTw7GCFB(YyI!$9jTCB6Vc+y2 zXy9&76NU;Zw$mTmQqjDx3pdn{0&B>TMric!E)F#=)UCl&VM3Xyu&?iEVI3h)Z0aaCbhk?EJDQ;TBlf><*z z(#(l8vtsR>M7Qe_A9#gK57zxomj2j+J#i40LER#%Nxslm!BsK-S=MiamJOPD8 zx}XCB!c(u`FR$Tr_KQd57LDz#YWj`X_@QZ9-`MB^)iQzd}_uD$# zCnl#vQ#OflRchLj>eeLcMTufoq?nmd%#0~)qcZD=bb3T$9g$2A!wAF{z>vty7n%kp zjQ!*KzA;_Th_-uJ1K*UHsaw>@n`r17 zukRYG>l&@)jnwjnYrBVQx&<{oL)ATlfT|vTRnI_GcR!%AyRW*ZueP_pp??5|-#9SX zI55=27c}!nS_Vg31>*#kxy4*(KC~C7UOj;t6%YBVqJCQhl%7(5E!^ zDgdS)xv^Vn=#uC=#rjT>zC&aHbc#)#QVUl$&6C@@6|+6cxo*WAPd?Wro9h(Mw2Q2q z2}}Egsbk#OHDT(P%?Ku!Ml>sfiltu30x*i!L0w(9yp|_{+g3>0hov2(GVYkHTd3%l zP7W&ce7U|ytmTfWxMPz%p%y$BdnNjQsi9wH>=jRO$5l}J0}571+DD}A;0UV)XHe9( z?G^7^`0n$H{~K!YGqXjuy`r68yXUeFoL6%`>aS(@ieG3HyI#@OZ%?vpdqw+T^-d6@ zVyB8@pIX?16?+?W*u5e!B8cV3A~J|Bc!VR?=^*;>m*@ir@rNDB&Mt091RZ{%vatuK z&cDHa{ofFue}+BqHQCwG4RwHo_#NKqbDZO0Hx!ypBzjYEP_s?E3mxl3MLCcW4n!Ac zG6G3OqNzv}8G$AtuoPDsi|pyg4hj#BPD(g-{`|?yX~!<4#-F{Kc>Y>STKeU?Sy%5q zJ$F6x)a3^!uiQIx}a+}w6{mJzh`uC z=<(wxuH3!xp!mY=?6^y*zRB_Q=wNJ+r=tfI;Y-1V&?qrXTD&JC-rqg`Na(o}C+^(7 z@jUO$-G?#fE_%nr2gD~HNlXqub~+?6At*lFFUFT0=0OQ$V7gBcbOfAQR{ zXU_`in~R&<%Q-!j?fv<+?N178?`M}j$SHl43yh+Cdol>rySoS~vB)iclv|PkbmDng zW^UQz7v+!h%AXWeK7Cd7ytJ;Mrn#)8qpE{f)yb{y?5yCl6*bhotSoz+pL^rcy_BmL z5>6fsi4OG&^kT57bPAe^I!r-)MMiu{0=RrZaskIL$dxsyMyX?R~&EYB_y1t-W@yfJS?8hoGv?j)6)jY5|_x@1>#vo=FP4q5+nQ zoz~oNQ*Kx)nt7j)3V4n=q!w*`d-*3)!5suZW6ilkyGXbKY1gNuV%H+}vbS(zpEmqd zremK-?CQimservgHz?5$eH^R+3b7*vzB_)V3{^X|b-h z>DGm_kxXKk8#b8a8caeb9SOdC=6ptGZUd)JVwjtK_ZRc(4^!ah8do*OHLYnwYu=bN zuB(k}fJxK3*0M1*{aQP{p_$&81R`WylIiA@rUmoT=F;2W8yD9(1H+GA6eOQJ=O5sM zLw=1s@GFALR}6T6m^%)^z_>tQ5fC^e1COE;(NqG8j7Ji&E+jmXN&BmrtACta_(5uWCj*`^^NnH_=+j%p^cIww zv23ZP-)gMyl;$^5<7=UQU1VApS;0m61{80xY{;gTTig1dKYDic*s%+7Q7KV@=VAk& zW!!1&;D|JOv3_1=-jq*&FV$~})N2!pr7`8wh-!I6y*#d35US_I5VH`_zk7D~{|=rW z;6u^m4BQoM8*naE+u-x*aV3lbJeMqE3d^Y6JR&m<%Z$TvBRC3V27%N#BsC67jeMzb zKxzaFEBLSUh;-dTu(oR3M<+SMsy2b5bx7VkC~F;*wDTogzNB+N+&Lfu$BsTxd#{kw zD{KR=U-*UG%!6p;jy86VHgt~EL7i;`HBdX&q3V{wsuq4_^FU?GU`5MNMeA^Ri=ez& zP}Ve9(#S7r=zCS)TTs^n$gk@zXy_?u?0MDPTh!WD!r_;94pwvxRq+JX-6NIIb{Ih= zPXM2cRCSHi@WyMqg|*$HYOb)NeY~t~w76MN*vKzw8LaIZYvqeOMxdP_ya{!mXlg)e z7?fN1GE0xp#2wLfjp}=ZhJFe7-Hih>fT2%31*8b52*e2F6&(Pe76K^2+Qt{!8}9v# zSNvDh0`dy3-~*|!^V41dwJ+}2&OY1Ue!=PwbwT7ntuVIhKlggYhm{+@oV&d!Z-Jh8#-?O*|cX^i=q<pKN@}Z?yann(wDW3WgK2j*I;2i_gPW>gXiTBbAVA)WW20+m|F^@B0akh*hR+6 z(#*WF%ok;uIc2~r9_N;4y)4hluXs{W@#IxyHdF=LRNm5F-OjCQZ?ELEl{D4AC@+5e zGW+I(+ovz4M8<{t1bEVzBsA6;;ruo7(C4mS{tETQzoEbS752by@P|GlIetNL{@Tsu zpqukSH>ZO%fHMRWdDsK(?2U5;cw&%j6vEB%5dMqL5Wo6wbXV8#fRM9i(jGj@Evjhl z=mT#Hf~vNjqB>4-Lq}P2S4C?#kcxUPzo}c$(8;gk^g~|3>4!#pbPd&V2dlaKs?LFG z=()WUsrb~O^Pib-zB@0>?iFplNGgUt5v+J`6u=^O&p-5v-OV7&KrIw{u&ORfwF{CRsQ`d; zsTO?Af?U4{vmn#W%XHufNd@o_$Sd^Fx5Ge=Av3N3F_4;8WUyB#EbB_^29O6ekc!zY zNGj%bfb9a@4n7OMMlroEhtvWJS-?WFs&Uo9&?>aB0Jh7Fx*(_ndHoPMh} zZ%r9Dw8r%*(}vFcT4#AZW!cbL*45yL>cFo&Et|3$=GGRrzB4bbb&m>PR8(KOc{3~` zn20&-dg#|g#w@CKPnf0P%ZwTUiv`; zSo}^i|E*^B8}017shM}WnRjZ-mdvmr)UF5(D?;uO@+ z`Izw2;l5|0e6t_j=5(}6r%ZCwlG65#YW9yZ(|01x=D2cgRJA@bxiO;In9#0Drl@3@akt%7k`lOuaa)To{zi^-E@YMb_>KOV^mGXVlm~q8}XA@dZ-@Lz+JRWbc5g zyHC;8Bk$x%I9yR{=Xi7bXk*)OLyMrciC^8&Us=~%QQK2i%`2_yDyi%&u4peR=e#QG zC@AITm+i@zb>nwHmk7qNpbD7(z=|Ah8I;$ zd9}^2>RSsN+X|cPa0;6{3Y)tMn|K8c(CpopHQe0l&Ya2)KyFp%i)!wxhMua9 z@bVv@>=jM*OALIeWl(P8OKiR1ml`p3jhcFeCcf0nmzns$E2M^Av6eTX>KK)68^x&1 z?iHN^amSDdZr=NTKl@L4#s8jK)O8Kpz2XC4ulSj%B2aC72UO3t`}PYJShf#-tO`|o zD?&foc(TjBEv|4Ufe*dn!yX!YXO!$FLF`lGq58Vrctuzc(}#tl5gag1hcJ!@u?`2Y zKq?%asR&ml3hjZ#`4I4aB!ma%AkF1-(&68M^$fZ~2AbjY?^uW5U>(1vAR({tAR^fW z1Pkx%jst5k0s`a8fIDc>kqC;5Gv3h!?~HZBQP^&tLB0`*M^9c(y?E#0<@BdlAHBGi zRdD-R;r*PVyU$*w-p@UI{mI$uS(nnEUVEH92R3Fp$%(hDx9=Oo{}6M5yFXL2+q)bk4#`YR8#qdyK6Ld1o+5hL6w zkzRo*iOF~G+{!CXdzyd#{_~U9G84|<3_o@*Ao^%nQc_IH@ubTqLz5#tB7F#c6ju*| zBOQB)ilHCz4?lI{+}*qP^9o-za_V}9iyFJKiyOARBDVsl#lzgPhdCwoL1T|zmSn;? zk&GM&I9^efl~?hsu=06H&CBw-S2c|#4b8=M^*P1G51#{_xOef|22A%*6849kCsRD3eWu~#1c zD@I{QAO#nO277U)J^cZNDP-IJu**KLfSY(*!PTflGiR3s*cKM0Qwu;OfKJ!}ngPTE zj!Qs`4x|>kUG_-@>=j0+h7-zVz-|ClP1sW*w%2f^VoN*s1~9eFTX56@)7Z_7SnaV3 zs6u1Xx~{QqsDWUBm^idM z9>XMH86+HojCUjANH{bOgT!N8Nq97cgrgF%WE_T!L6Nao3XVv@Q6bRMruZL(=+H+0Lt*RTF{a_&dD z`K@?rL#TT_u75pdcr7x3ds|cJ?Xjj+`%!7!1**4EnpR+z?SUg$9ieA};=N?f%ijZ@ zOLNeTQ;>@Sq*LG-wIrEZ7Q={u6ls)NoI$|GozyE z5s_tBXda$04~-iK#|->Y{lLgn->{}vpza=0@dg#VK{J47`zXW6hxth&~W}Fq$lyn`do z5kYiCQ*l&J_kgIVgtHgV-nyUqDCbU2+5Li=hj|qld8O&kU!^{Hapu~Slxta+?mfHq zIOocvj1xDmMxRRxPLA|T2w_M0v7&rEWBq*-0@+bMlmK@Oi^K>Dh)6zr;pWo|cb}fR zlb&!p&F{=nOr+<(vz$Noa5?OUaSbNn!|3EFHZ9I4;7r2NTh}f<$xVIw>e`dCn@_4! zu0M%NzT_1e8IqV7f9`b3jmxp;js+YIp@p(AJ`@KU=684(6r08f2|98t>Eiv2-0H^0 z{?U@=?&rmgz$+f)Kx*+Y7kEW^23%$F=w<06c*AK15RBZC42aUq7o}Nw<WgaXUX+yFe)!<@g>%vIF@Zjioaks57RHr@ zK{8P;3|D6c(uwKnjKXbAVS2 z)^ho~UI7ge`%o$XmOyF0_IbrGkctUT-^4zzu#3chLMlGx6~D0Q#6GXE=QZ|<#NP8= zfB2YPqZpDI08r$4JLLf}DuZ=GzO56$A3o_7P{=}Q5kiq|n?yS+(auSy=Int8XgPqR z7CTb0WKVWLYl?nZu3v&~f!LM`6|@Gez$`0F@b#$)8jY#|N?=~Imsm_%Ujup2&Tavh z(Cwg~e+L83-%QOyXlJ%G5Sv=t=9KOAl=bx_Fcaevv`zu9u)dYg{UD#-0zX2cG*y*U z-Z+^YPQd`L2!y@jcvQso)El|^N$yiMQM4hnSG~$!W~;X zyir@;svzDd%v)0ZhETIA(XDB0-&$7xteg8`P-3m=5I)MOIClITgG|9WInvM=FEYi4 z;^sjlv#@w~49*>gXWUZmso71{%xl^7y2!jLv4CH5U1?ia*`V4FU{+e|#?{YE|W-K6z9t>wGPsW)A%BL$CM+)O-~78iRdGWc>_@T;c}2l{#qGYh8W zx6_+{w!ZzJhP6Ly=Dt%{wxpIf;^{5n^rpnTsW84)7}gcW4G3^z*nj~i>q;ZIeQk$T zsCWj-lr77qpk$d;y9md%X2qIWpr%p)cnU%1vyw?Tx1yR8spduY?BNQ&TrNvb*~D%wWN+eQEtZIEo#a7P<@ zCRzt2+%ZMBP~9V*?2~BwrBeftTIdJFx;~+{XI$GW1h*K5-g&p*E1*or2mbJWkI66g ziV8Sy0(r&uPua=E>}hbZ&nvc*ARR-ET_X+LVJIoX+1_W$@MhuZWM{nVmxzN0Fb)m` zXBR5Mm5#!&FnBLKIgmmRW4K4NsiAbB76?!5K|1m?qT_$Jdj-z%bE5M>8XDn2#Q0LN z{xn=50~f@^1<-MRZde~O){BVo0M`#_q?@ZV$;FA_>`Xwq5Kve;)gvS%;>76_X?Lz< z%KgIlGuOPsBEyayPr7*F{GFRgSI$P9 zj`xWVA_uuUG4a2}Ivt|mknVJfzkkw|w8zC2^*w^(rmp8DjSq7w0FYfgFMpI>CfH@yEB=X8?9Mmu6LKIv5uJF? zj!|^(7zKA|M=Asoo(nifsk#F`mk7eFl_v~ysk*y|O$p$Yr>F0fbZO@hEN4QSixvfN(7 zXmi2 zMUhljSy*;0`B*p^9YS=4yn=!`5fgRm#+|(4nvQ-E__?!h{-#~{c0#{Aq_R!umt@x0 z>bZBS**8ktmeLA%1M^ln4S1)pyp*&CM_`LRgHOFYk94;Y-z3EXly@dX8xeH{-`tmsG0hP*E;scbuOKIAK0D=KI z#_Jum0H(1HVX_1M3#;;7uYjatK|DEcufc%50?L;GyMU!)R;-#80hDt>6^z=h7E5By ziUdl&tV?wpQvGX*0sOTATT;UtseV(UTbE3&N~Tt%0385ss-_1l!A(vUCHe(uce7zm zx`WI#CpXV4Ec43gd6jiuZCy}X<|j?_lZN?8Y@7-R`EVw0W4xqZ^OOA-0kdogyy% z2ndW%j5~kz%-zQ~b4u^Os!7i)yO&#dGwa3W^z4*tS*KDTpS_iJ>Hd@R_Z}u+OO3sF zI{b8E(D7K`_z16<5Rb?J_b?yE5l>nmi|WVp3=0fTI(Gcx_0u=*olU=gKI>uptxMjg zqcD*SR45f4O2vk_5hIw?7%ygmzu&3Y$cyKX-MDw*;fvePYn~MGZagkOnffsN_?fsf z7mi=PnsWWdiPXzUSI)#qGyVh&)8bIk}NBELP;Hlv_`8iyGSVs#~9zHa;n+ z%Y0c4)Z%`2De#KNc@*t*D9}zcG%yMmHV)}cK=}~S-bAz~5o&hs zfk%1ZT-jJ83+>{La&mWdbVoX}kPhyM!%UaM4Cg}(IAp^##Qlf4Egk%3U9rAL;|9{-|iJaFzU9) zo%5l-J=~AHf-Cqq1M-nn*vFa+A^IUW{lfNs;U|rv1Kv;C372Tv_kHY?Xnr6SFdr0G z?B+W@-pBD%Qt?w>@k@+ipHx6zA^%CQ*sm5cvmGd=vBxWfYAaBS_o!_`6@*AVyQj)x zVQ=Zhhlvuv{I-)!%}XE_!72dv%UZHGrm$bjlXWl9ne=oDV2J6@O#AJD1QQEPi;Uw1(A`c%zuxRM=k2ts8Rdroy_pBN(tS=aCzd*e5=EudYKNuF@NzJPg z^NQHKYL8b)Eo<`Wb$CM!_;al(&8u)eVpV0{n6zwat#2o7->Pljt8722t-sfpf3Kc; z*U>WaB0V=XF8NAK?B(dtYl-2d&mRj0`IfmQ>&n}i%|Fe){fBk!Po{9F%k4U0-f1&pZ$biZ^HJIZ7vLYNUzF(=rEq`?{DYMG zC8YrX)oE;}$)*-%+C>?Z2Z7No0Z)K!VO6GIlj_%{hINT?T>_4V4XI&6VptRFS46rc zF~p)+zl})00HFiSi>Bs8Q?tUUnfK^sM7mj#enzaHl^A9v##yOhMyj((rlzG+R)A#6 zD%M&>8t@Fa3f0qaxhYg-IwH3W%gh3qc?cT9YvxPL17h=l$lNb7^$SgX6NX-)zE7y@ zotWZ{O>&2o9Rfw?u!1|H;M#lHjjOxCi(06KdV@&xe5qkjW`gn^67!(g%omvlgy#MU z6F3e@r-zkRfx~DZoYIpi;M&p{%%CFkGDreRLF@l$FASI@+AM(i_)9V zU)_BAGVM|Jg}YBqr)8eJnvrrNT)Gf;`dDysT;Q=-|D!S9vEi)H0Ji`( zEszcM`i}4miVurCo^-_DQO030lXspS;?cE@~nJly9W@7^z6Jl z&vMeAzkHaRp8<9GF3v74eNs?#C-d>8>(`H;J{1ui<>TkgWYQQkGM$WP5V7tgtOp6} z2>||pLwMm_eMy*LDj|@H_a&j(co!DV#RHG<#3R6GSr})g>tQ zk$MK+HDI&f12j~9az;2g2e-f2Mm)7(XV*0BeJT_m#xwx-rWR^wgT`y!^rjJbg$eQs zu$n-t?d)6S@{cm}x>#i!7RXC;^HUS!!%0ZUD~O07H|(i|xb*Z##nmmmA(r?ZZe-*E76B1JCj>G`epDQAZx4bio8ZbKqS)Z|Lcw^_ z@g8(Mn}%n(;aD`B2aVuKC$fkb;Ozv*uRSQF=JYlg*|_3!_>^zJXZ zQHU+;lIabp^|f>wXwPf8Ww(kI+8`q}tSHRjFSDh!eWRZFR$=>IZu`A*`Ukc7_sXev zZB2q_cd{==Cti$>xfC6G{a9pK&J)4lAmkNGTeh_yXEy#~TmFM({yUTHtsbh`*aSMK zhEV~zf;Qs-lUbLW0c-XnBsSCQs_8Yg75rbIau;x-o?cT;uc|C7O7k+zk_xWp)RgI$~bK}~XagA+MZ5^Gog5!w&WYPv7tz(n6F|Bn>Gd(tG8dV!c)y5IEVML`D zDD?uxHbZj#pbWf-^n-E(gaTlKI&Z_rA*BUAng`{^LFkL8hUD5o*(6`89*|6e6Y$}X zLMM>x1Pa3t_!^lJ(g~?~NH#5y%>afZGehE;LD4KcAAc9-nbs0?nO@7-gv^P$}$><+Ux5wo{Xmpv5%yrQzT53ca! zgP#uG_Q9LH-7Bhh=A=_SnJ60JAl~ISh_4S2oRLf{(U(H>r;-BQ$iXyLjFj0tcpqv6ixkQv9HChBTaP4Qu%=|oo=iRkUg3<>o=dMx&0T1xtp%UO9>GIOtFWM8`f z+a^yVuyPB#{?WX z8Xj>hA?D<%<5#X+xPR|PPWI&|4^G~@8k3qFbSBCpDS#5`PK{zSVtrW&L4L_`VQ0_8 zUA}Sl-m}}!E1s2dALcdO$SS#TH~Z|Z%+uG>PhP!w{?5JB%tyDfA17To?;Rb6c6W28 z5)a}rUt`hi(9q+TQ}1QxJu zY0mxUFCM+f%gD>mgvd*O_Uz*I>qnEp-}DHJ&BWu-C>IC3t1}gYVB%4pB%GfcF~E)J zN5T0J(SAg9AO#;nBL&k4zGUDP&Mcgh2j1C>0Mx>Tg>ht{fL9!(BY;$V4PYP+xFZiS zk&s$25a4zQ8sZ?;d`CAFx-*y7$1_Zpv+!iub{aomj+f1?Fz-VmDZ^?G=2<)X!H<{5TLSGyVaM(jcHm1nU>zn1nF-R5oqMpm1gt0!J2&p`J=}JZad1EH zC#P>C1ZV(2Hs-{zWA-C}RMTJjuug1rO;a!dpTmlI$z$;EC#@~OKSz6EO9#*JK>$4kw(Jy~1pIsAL z=fyMsKXLCF)z+Hk`F`r2nX2kKRprB8nPVbT`?kZynr0XBggTn@d7$l$ifTR1Rw#2Amk85Y?6dc z;!`jTOaw9FcVZ@WW&Vl-hfm(Cc&;)G&;9XVC*S`!$K(%#u9-piONbNR*N8>=YlG*N zeq;`w>%m#xHLU?BV&^pU0`y+DIf!~HIGbNMrN!dGZvV*nMQt zL=hbn(!=7K9CA*oofCsVj&UFe6^_7w-5+F$kiZe!0#}&*03IMw7@)er`FcS;KnAF8 z!$_CG)oE~a8tff;{1n{B*=clj8r@wcpy36%yG^cc$RxHN zg9TNu(b{LS4_KT77FWO7-EVTkQNOz3F3oV~5P%AAx5nQ+G}=8B=u!tdRe=s=pnYJp zLp2JH_ZfUWx{(gGt5s=h?zc4eo56|!mX3yxToKHMATbIR>bzIitwqox6tYl-Y_h`j zZ_SKUH1w2*sRGeg`%*tHwhM!yLxpV>KS3ZrU;p`e<;KD|r}9q=JU+1iT_~|YxdMR1 zVkr*Fwo zY)BKYO62597#RX`3LBR|2dB5i9PGEuIB=@N%bC;^K0Qsu%#boOrIcg=PR7DX7?eaV zdzna>A(Lh&Cgvu~vlP4}5k&y6ALueMFEv$`w<5KmFmK1cHT#dRKX|h6a7p2zl7hV_ zSMMlVx$Ve`ZTpsQ-<7?2Q}Wt;Nq&kXZ&}i+oV4|;l2_%4GEFHVyu z<)){vT(NS?=E6gV_MI-zeiX7!27<%iGQ-E;E#&f^!i9Vy##=)}&V;{Bzk51&1=Vc*`gHLEy^1U#R+ zgiQPf6URzQ$}ik{pyUjIhx4~8uRnZ#?ndRQ3-^vfuDDfv>2BGTdnK1{oxFJM#D&X% zD2lIKIdSpA{!=Hm?%%hjaAVf;yu{=rfsn^x(dlFYjeubhv0M^PNWqJ#L>Zj~Bn4bS z!AU7NIgOCOASEz}QW{o7jTKR1M3h)DB~C<&;o+m$*rn|F#hmyh-1x=3_$7#za^e;< zW4@zD{ho#@`deDeceI#A^w{qyanZzhJQhP+mb!f3p^^uc_2ozpX*uAEy7v3eTkq5~ z1G>2TtoiQK<_EA11bl2dAH$eiM^FeDBOl|gaHt5*{`eFso*__C(~PJEWee>)=o%4UZUia}%>zb24hS=t0aPGdVGap_3RCzU5U8;J z`#=ROU~~UMt^gR&uOAuEkAz|rp-4qYK|IhyQv&49pV| zT;uQTqi?_q>(zTIYFhU0J0Rn;Y4H(!QoNi+No3RHOtOSV6j2C53XV_4@u_$|ogiQk z!D0hL7BFx@5;Dmm2ANC3(&Hisi+?BMunO00I&=1V&5KUGWpw_-zfQmXZ^IKm>fLjC z_q=iVwb}F5>V0STy>t5CIec#&-Zys7E8EB`3(~P-8F_8-ys`S;n@8Up$37Uwe=r7q zF!_JbyIxm6?KpL~q#z@wFgt5oUiyLcd3Udz@9pdJPR{vfJ_P3eIyV2Wfth~}O#Edu z@CUE|z1#c7;el-?Cg>kBulLO9MrL7z1Y!&#!~qp1VqnN(!HgZr%OD96m`U*(E_6J0!R?5$|*{R}E9zBU*2lR--h0~{9wW5qw^8U8oX;gMc(^{Jv&N$eakC6$9sphgJ^-?8Jqp+_xZ#Yb}SaY70)flW^p zG1H}_L|(j*4z3wUQZ_qTB+g7o%3GGUDkF78rZhc~E#uS0Ty~O7ke(*Z%}ZFZO0jlB z`lju9+YhYWQ?!0x@tR!#DvsrE*`HmwJ!8|xlyxg)E7JH`Qc+H#Voi2-;kt~1Rr1^n zZnBgi=hLNZs+h)>^TcV1$$8oN8w)n>+rO{4bpPqo`^rx5DJ?5Fv^R6hD)9=rFkddr zRS5HzrEeRs)aI321;=N;#D{h{; zc&GFV(CxCTH_NWxD7$v8?E2NB3ug=W?ao}8FHVwiMLar_N~I8(R1%j?7SPEeI#~i( z0^$S^QG$v}kN~=XTcU(ckkYYI21Z7YlhWcO)Ho3t{EMPExTPG-Vjga(0Jl_#ixA)< z_}BaPJ% z(KG=2&d@4NB=PYvSkXR+f<#^Wf?#DPIy>wuk&561QpgfoM1UxuntOCjfGhfRP5pWV zDhw@3W2*{agQ;!Mj0oilQ%DF@1b^DDhFsAxWc_!6ihl!F=sn5>Yokyp#b=cjAMwEG zL0d)85(|}abkH=mpn%GV7FUcRmRSL`*>K1@3LlQNmZ%{=_=AFuo#0^bCi+uYiLu~= zp|Ou?9pgIZgdS=VJsFu@(^ki{%{FDUjt!Z8{icyY*CfgnO50>dpZWQ-*0V=X7N(^r z;+M*?5mJ1loQ8#5akBJwRUP08jeTll;*VzUt0Ct^zr{OX^{TACL7Q*L?g!G?1A0fm z=$tUQ#trsSoyDs$k7z9(t<|fy`%LaJs~22`PipPH0fXzw^X3El56T5RT6_$jh?go`PYpQ(;)^pmCs!scq#*UQJIHt7FByCa){%g(&NEEJdEs%Rm zGd!k&+rSW%A4rYLH3|(;0cYAKG_dVx5-k%&GzDb^n%0=7wdQG!XYdv*71<~ZQ}#>pum2=eXP$G=(UdaT75kh4+0g#U3xcA zw{EycH`1d;Dlx!UO!rZp8fUxO-acq=Q`y^;_Ex2%ebCjRc6F*@!A7@s7$OJEW7@#? zv=_j+X|&Ja>(UIjD(x);R-op7Aai4%G2B3}zDEbp;&~@J#889W)V=7`)V6DC09v%G z!>^K1oCx3lsmw??W>hxyp=c4*0#5wY_;vJ0(7qU1X+!bhDg;qJmV^F+sKsXkB12FS zjH1+cf0Zj9)S&j8%@3ZoJ*sU7rvo%hjdI1Kn)Z87niuAz6QXI@2uj>yVsr#8KAMe- z6A+_#_@!LT5-x_A%o46hT(&tUc~e&6#thl|RBpbEn##q>snKHM5*`+y#Uf_hVn*Cj zCMI4$Ati9B3L!ztj^j~dITVtF%~puS8Hq``%hFb60?9Lz_=zI6TqsCMl4fPf^YUc* z%ViKPHs)^Kw|-yArh{kK?=4xq^ThIP2eJ#drWUM8T%9e>Q*bkdf*fhmYVciMlfHhH zEH|B#ETc)eBmo`AA&><$PJ&RHmYlwFKaFw) z91&7>_4b+Tw@+WcS$z4@@$+Z)6dlPgSR+c5lISEN8Arg!k??UW3SPvd$~jWNkG2^~2i2=;w=@bsKMa830_*4oT54a*4zi81ik?hF6W7XBoeFGMUYv$$rKTp2= zC-2ygfGF(lw+{DPr~BQo=Y!Axhq19gjs<=UjQ%j{|KRfhwD>UW`{4Axw|U-KJZ~+d zZ!ME=tuNo&rr+BqKbU>5pFM9sb@bG_%&fxPtnDka4sBj_|JKz3_0Z`2`>{9wH1Xm8 zociJao_g~?re^zzMdrLfu7H9u3M5!Dt{sMGfk4G5$`wI@ciRa*21w_T z4QMJ%(>mJ>lojZu&hk=knbn(T4dyu@J&;d+UI$ zRcS-$!W8ax1JDA^eZ1&G%C~y-2v=yIcW4*TVlbp|#`qb!_@pTnp$mu>;X(+Z@+TA| zlZDbXw0f<&sUI8xD{y59KSJ@15M8|ZwDR-QK~5jT&frOqK+0FS0`8+;-wOjzLrD;D z*@$w*-KwVGJX0nvijDE7 z;0kgo2P3Co6KOaF1E0i*6O$v^*d?^M2=G)~QVgFO3!s8a#qjAADVL)V3sdEiv;zlq}&T2zZGiX?jZX^4!!ltCp=@yKMdXtj#+%96YtR^wz;M_jjMVvGwT1g8e5~ z?A(=ExHfrxmTaX$m?skEilzCA#1$FRoK)^IIZetZ3K%#JIi88dvIyYfpC;rAlao{P zSFhZ(yKwKZy(dl|zi?$waq;?nJ2N+~OkKZx+4}tCwfR|_H>}#TYtxZqg-41CkDM$# zd}`~l(>soz-+l7R-r}qKORpU~ef{v6>qnuk?LT#H$B`2o_w3JDyIz= zdAS9fb{{J~f9v6cXU*3hJUe~mVbK|A*uz8hgD=!78QXCN&=HCXTS`IgiaJgkwgr#h)EW)C_)xR#3D;rBsq&9XX0dZ ztdt74B2GYv=HeoG*hoGuQh<-*VN1{RSP!VXr$uVr@@Na78T%%S|mn+5(Uun1+Hj7xdLe*MLRyiiQ*He=+y$D zP=RoTt_7%9*Ni{~$`t@AP_76;#m{pEfC`i=VDZ@3A{D;ltO$hS6)Ix@xf#|B0>ciYD3E}MgA=#f{E;i5t-)td z0gphgK(~m865LtvRvOdU$Mn`QlV#ju9@m>k!E^RoM${wIhVl27*?&^nCR)36RpoW1 z2aaw`PEy1!NyJ3R2vLa)+{U#li_csD;M&q}2Isrs@jqF;Z?)hIVh#*i0&2@xuyYog zOimi?fL^9djwyp}LT4G%ngf70hRnVps~-@Kad^rwG7V0MYTIZ{bI*apMKS^S62!6y zct8;nCPNCif(0dEF~ux~kVWS+XQ3(xb&2vT`=(=WJh@b8yR=d$+Iks)xMu??>PLb^OQw zG5M$eXY&33oOtyw<1hajnE6NF^q)tjesqq1fDebhWQa8xk`^(6--Y}-i}#HMZV`E2 z141(o&!e(@)GP4YO~Xi23HU35ngxi0Y+)^^egu|)>V~Iv!&BM?X@(~?!xKY5?qFI< z;~LjGktSu>Y%+m1HETZ6qy`ONSSNMXDIh(v)mf*tmMJJR)R1LLZJiplP7i{uZAxXE z1lxt3kR}GLuT+weFf$1C5SdYfju5`8yINFpj(1D;uu+SpJ6#ysD z3`l*CzM;oZ->rYqrGs425v<|-On(zCJ~sew?yqd_fBY$0RQ@biJZbK$ZtDBY2&fvu z2D&UGBbn-Z&8o`?H}8T%~GmKi5t_o%Vnfx?07ka zoXTeBiUrH%)MQQ^kFb~w>jHlVM2=lT#{;e)h}bk4pOYl!1C~e>a%4P?gu{_?xiX$m zAxX+k%UHW2cjNk;!i_mwHm}}uV0X#ok{dOrZ#SH{^5o!|yW5M-t=qppXY0CU8?zGE zCQDa|MR`JgmV}!oWhRLLvEX?O42vAgz{k+yqN(vQWNZuxM`UyP38{*#^(!~-*>ULP zi3^txmX&QjbZEuaEqR+a=4@V{Rk${@a9w6$LFT57nVYs`ZQ7o_Y4?h4``7M1y7A!2 z?Z?jSDZYH@^v%PkZyqVTair|}!IDe+PoCXY+dMf=T1wP&wBI&tRasdKkWF5WJ^e5drvt+FdOj-NeOuwz?NW-494q_D^Y3YJKU zXEF#v4pqjZ%Xzc}HZ=??h(Hns2?!8{kVz4;DMBtyz@vk$ghP=7v|tisG^9R_1h^uG zi;L!A0Z~Np!A^W6J7y^}3i0%gUcv-`5f{P6L~-#kjF`p5?|&Qjo4+G0S;8XHCBkI| z8}^*Nc(1NaRnsz1Ue|g1Y0K?rEq7{L?>+};0l1yTprZFl zU0-zr#N*1wz7SL(T+z3{75!fXDbp zeF+sPSD-Z&3*Dw@J05xjO`3R-Qi@T46R4DiQRF7#aj}pG0q0`m+2F%rOu*zD0%(Cq z1KNfwA=9 zWv?E{{u0RGcxiOZ8o)ksTx$boCD;zBbu8_K5-8xEh>Q-7{v-tYLT>oM(sZ0X5hTPYroq z4ti%*o>}F{?4V~x11M``(mXP28+m1Q%{_nCe)?!>VNU**<$2pzsXIXcu11TA21NXS4Bpv3}L=<0h64L!#CZbMy{9&p8T7_|u2aE1b~KOeRD ziklYLZyBiilq)Jx{UlU?M+IGg5dR+}4h){TxgSl7ASn`9bb-`hAhn%PU1+K2pO*OTmG|2hLnSd#CQ=gO<{p&yHPuu)Fwt!NGmmTURaHkfvClBwr&Dh7Z(!rARJC2;(uzUZC!mVj5*GSW|MJX8@b{{-@<3Uw@=k1CY=dP8XI(xI^ z{H?N!x63ZwI(hEO(bBWK4j;){xtu9r#bBf2aM4&oEQyTaFiA22Gg-`02$)G+T4InZ zh;qOcfG!v$DU&Q=QN(Pjh(i-{=>k4O#G^|%R5=UWjUc7rkh*uk6>&UVEDsyQ!$$Kk zk=*zQR?HGc)c1_&#jMx}c6>A!&UuXE6XKaM5rpr)iTclfM_L*sUw^8rPut3CIvzjou6og1RS!P8-~&AH zq_MxMvG0=)d{Y=jFO+MBpaKb24A!>87)1~&5Y=@KHFOR&BHN(J6;hcQUX_jJJ`kcn zi!*giy)f|s1c(BvPv6pSXbzTZ8pCQQEQr3277!{1EgfoW=a8*SWAD}iesFYsMig*b z(@ztH))iEE1_ZW+0sw$f1*ER>lUC4AyFo)ZfmAz~Q4;VWKCmGv0pW_s1X64=hrDfL z!TBpUp0)OO4LMD2z!iUX_&yk2uQaxoTKlZdKC5@k>Fq$XP!8m#W6ppG?0`FHY%>}= zIP1+rM+@&;o#%~q%g^b6R2{=+dTf}AZ zIdm?I#s*wLBe7`Eyh1>y@Tnv&iNMC=mgnS_Ub@nt)_2*4dz`-h;XwcJc)xqR&o$BK z81Jqn$SDPOs*-b zd(LcoS^K1|>_};0_KGd}%eSx2-?wGm&6`)-RVw?;tKm0)^8fhX$NutvjsEa|_}=`p zckVAx^MCQo{dsum56-c7cK;hYVpayWs7IM2@YWf4=L&pq1%3cq1TX+U1i8Y6%Ky&o zfA1ds;2M1oAjB4UXN5v?G^20Lqi+z#c#Sef5HKKJ0L|-RaARIKJO||ln$@~zky?%! zeW-23HKBEmYn)>mM<66EBAo+HA<;sOhNN)-`H|uo)HZe@%3%!&nrUb(V?$=3fEs*y zjnKslXvh@Mm?2TcpL6Ny)tyLI*flUHM#RGTOIbiU3(7eI@SL8!Jtz!lcdMjN9c z3p5GR&>Q567oFM{oto!Ra1jdyU{QS;yZE`PP82N=x~N0~1(iS1pjy?`|D*}hNHx;1 zk1VQ6IJdE>x4N;Xy0QC7131M4^}r)dy-yl@DjR|!i;paU2Au19p42Z0Ew*n259zB$ zQKuC}o!*Lu?l8~KcGQIPA)M0Qh7LTffZ^^Q@K``KfNcQJJgRNK`y|K}I0gyBBF3_b z(OhDjh>DXl0asw;j94)xibq(?h89@g&|()0NU;hIHd7pv!d)zGM+^ya%glh zkDDZuWTvL9TAp3FaoxWCJ5Qc1y7-{@YDLkdJBQC**?Ho`>OGrN3o;T`B_ytvCae}q z@`bz%9z($)OPE+bC58!JHVMn4kVFhvh#;Whc@&D6%SucVq~*%?s(LbxnLnwFcASCF-K*Q(9O*6lp8aev9yqo;SBx(M**D0l(q zZyh{y{XprJ1ErS_lwLega$(o;vaJVCY}|8r#ipGZD>tU*uitU7_~Na{PwG1Fl)t!e z{ZYxe8>cVaJbU@pnTyvB9zR*QV`uKF6|y8bl|hcjMC0*sWHOFHC-FHnnSh-n;wA~8 zrAJ~gWC5E#z%~)=u*l$GB9|`bGNfFFm`fLPXc87#$|On|I0+3SM(Q>N#CSg9y2-;t z@i0rd@r&7Ui&(MWvSJsp>DFKJzUDfGc2EGBOMAKH`hAz!lx_gY*pAv_5{(jif*NfIfqYk6Aw?(}$qNM@P+I z`U64*$`v1>;zfunx->uys1P#>2ohmJ+dZ0k^-X<9Xrd2ciCzOxD^S0&WdPBqT^?VP zxm{&JWbJ^{%#i_MLx}VCf?z@xPJs-nN9+E`4`G7EnIY+5?gOSj^dmt11~1AL;9MU< zi*O;i4BsH+ilFN&%XwijY zAbxNu2QClcHKQ${v4Hz{hD=_q$*(t!=}iHxaa3dQYmI)r89>6Q!8)q5`L#Bm#_EL- zV)3Z0K8lo9avImTgfY~`_1#*p>UE?O#gaKT=Iwv&F36p=`IsFIE{9lI5o~Gum z2RH7V*s-G^L7Ei1BoP}WC&nw-wC$S;FJHe?*Qx5&I?b+`k-!HVzyrsu+A;-zL2Li$ zQ>}M~G^2;M)!?TyS_c#~nRJ8G-z)vdYu)fGoqN8nLwopGsZ1my#zs-GaZD19Lj`C- z7BXpKHu%c0WPFZ{&z5jmA`U~yqCs~o8W{){bE2XE5!bF-b@}GK9RJtbzhNsl9VgXM3 zGCC(s;7>45RX=Vn*wnqJTpT3o8P!!4}b zuuf{N6I#oJ#*8?3S%Usu@St@J>#6frsgz898JBwYd&7%(l!JT_n& z>oxd$^uBJr2dKv|(ye!Q>YSZgd$-=zZ}O_GFb~qJ^LDCT?J7sR$`Qwhk6u1ob6d{1UW)Y8eQrx&<%;TGbg664PiJSdbFksYa3xFWLv60|2P+ zeE6*Ces$fWnuf}{rs~Gln%1u89evL``>We}A2)TCH+GfRqh4FxmG!+(>ieIuvM_G ztE#c53azaK)zgG}+I8&8-ctarKvKWg4xYYoH5Rd=dYi;bp7I$n`h5o+Od02W==L= z#A7h2L;?mEA59@(SzvKvGekU=Ou$VP@e&1`1RgU1)@@QDOE5`EERupn0)Jl$mzK(B zrtp~w04>-w7`|W|JVS7cv(N84BhKSzm^?av;7{e_MTsT~$A98eOQJfbifC*8)+5b%Vl&(2oY) zaJU$pFNV?uG8fy7ERt}Y9EF&HK*f;3Gh~FcFk}YU01x(~g&cZsKSU8f;0hgdSsc?^ z{Th=;Yw{UP0h4LcXdKt;16r+Lr}rC8qZVtxY#TM$eLA~m$Tl))9adW0YMWQ%90jKX z*T`3*d=mow2XjFVl#Ja-g@o!gXTWXfDUlQ#IWy`6s(GW_W7A z7En6I2Az{|^oeU4F^qyQMi1?zrlF^$V;si(9b?Fq`}mM^Tnz*-Z2Ay`jCtx3&b5DM7j=gh?zOnmWJ4RkR z-ESPuH&(}-5msHodIt3BUW-hZgU*@GiO@(>Xw~jS?KCHl>7^4!*Q5zCze0_$PzFF? z;H7BlHm1^^YlZs?wY zNbl*?L5r;}y{8XQy(KUJ0~(%S!Dp~5!~&(XgnQ+I9VBppqJ=Khe_G$IsS8RQqKjXM z7NMKZTEQYYP=n|h%x?4{L4#hn)6$0oG?dlNDpXIJ2dkS@PZ|fR8~UHOs_Ma7+S*@U z+kCV9$+i2B?o?J*)INLKRR5x*y|J&qaX|U3tFOGJ^I=oxgNDurfDHgw0HSDA)ikPV z8&tLR12y%1&l-B40AB0Y)li73vkA@M_uo4E~3cP|%PU6s# zIE+LNK}3sX6BpAkzhmNl#UcJZpZxa%@_!PNe+^D=%Y?lAl$7;3iVe9*h56D=xs2RI zOaglehp-4ik;QZzEm4rPG9z<+zBDVDA?0CN-oit>*6!Jmu_05E3s{0J&f&@O1(I9=Kb^-;=1}DfoPZL| zCSdqfS|X31DHmlY2(zSuERi5vF3ejdTAt0#PNS#Fi3vP%B9DaqrlbTZhhH+jsinzOsvZ zOD^mwKEJQ{;{M`G`%hioee~S6{iR#?m7F+p>&E@ss@jgb<+Yb@J~(~x+L=pN&t1BF zs;q4N#sZN{h$Y0~aItvU-5JLq6L?Izn8%R{xN;#c0Z70Fs~>_Ev_$Zhqfo&jEn`#C zc=U7uD^0*saOrXuRmvbs7(_7x2f2a{xdITMkc8pm@jNVs2i?5C=VHF)VSmrZeZ#|j z%f&7RP{GDTG2KCX9;>g+y) z-D9$iSggZ3i$i6$cAHFHdUMy1xl?87)mR7gHkHxZ*xdZ^?v3+B2llPYTP>V$6eqO*fpbpk?L`^b#llaGM11j6t5IAe2hG4E4 zgL4{H*u0hTkRWC_AYcH@(7WKIazG$j$BfE2Uh%NLXy>u@2^pKxGPdMp?Ae%q@%*Wp z#@YdkS?lyzJkw4;wAq9upzc|lW7ck)vs-4())_rKt0K|<;0GgEFoV`DgeI0EGwGnT zb|9FE&Q@u@x%#iz3Q z=Ml7kGW%x3W%AAWkui%kE&b1$`<^0D@f1Qu z|I-%b(-zg!mcgej>gr~wr_F=Unt)VDqPe%Cw&m*m$EPk_K7QuR=_{A6+`VzT;{L;$ zCzVb0Puf}^x3)cM?Re1A`Jk!uenZzISkH-YMZ;iigYtR(Ky7{hGZ?byej4P8foGk{ z>W+aY?E_V9{f}FEE1G-CAuV(~e9``}w(VhU>qEqQ8A8R2j;i{uCyhOTe*jm2yM1gY ztPjpJB~eKv7L~-O5yWUWBLknnpe1uTX+mM9l%e3^#f)e!>3c5mw;aNM<`93)C;wJN z`A$m5qzKsAiSm`HiR-fzg?Wja^EmlQ_#{pwkFbP=T||ppLdOuq41StamaX8YNEk9M zkxz@E;l9Vme2a+$+odE-9Ft6w3q)DVm^}jSo41Ce)6}A#g%>jSaa1D(gtE9=v0^);?8Z zd-sdRmM3+!4{IOae0t|<`K?QLZ=Ah$^~}|arI*i~x=?(yXz#w=>vycrT%Rt=7m(9P zQAwm&2?;A>F}4G)xL?t#HVqhujm}AjXWry`sj*EBB6)Dw3+V`k1+>ATtFTZ|e=XNbi(|%SpRw7d&Gu;n%nrap0yKmLt7X36iiOE9Kz@zQzd#q^3f@2b)#`(W zBrxu=5dE0^5Fm(bx-hf6%`wZT0?QrLit4)Q(E53k=5LciH5!7=J#xDBwp}LC@T6{Gp^0&|; z$Q9@W=bG03XRZA(AJGEVQe-)82?i^w8dcRzgSBm%hE9E5yY}((&RgZr&s@E`zo=yG z)*Z_?Y}~MY+l~W!_Z>fcxb)QV3ujAj-nd#-^`NPxqP^=;OV`6Dz!lvU(1{2Z-ao7B ztF7y=sq1@M*Yl*V3l?Soo@wu^Zts86)>qlu7X}rb59`_=J`Y00CtT6c^`t4t6%~Lh z8af}K_D6NWcm2w8ynap9Q2$(4XY66c4yEJ*6RIxZ0;D?N#DP*T{L|J0Rie=gBmuIcZ zPhXRpvNB7Mo=B8(7c+<$5s#Ignz&}|^4eA!lixohn z7c0sxmY=@(sN}-EQx|R>KY#TQ;EEGxb{r|$TXgnd$t8djr!L(&ef{CZyH(fAYwlDx z+^=oE{`l$nd-sa3T|RWSbk~U^YjM}lk83ZUQ;0igDB4?7|KZi+>v+!~zUdF&l zs5l`RFT`U6IKUMVeB4qIAwo)y5EG;L_-Iai3?nv*92tRKvX~Sd&%!Z;ROyPGjfan) zzx|{M!UGb5K$9Jx`NMz773h(0mIx<`aH#l%S#h1Z~5LC1&Ep5u5 zg9?Nz>?l`sFL1@b3sn3EaYc|WZ17w^XrEA8{Qde7rG7+f@ta-a7I2!d_*IAl27D4Y zKnhNrR9mK0=1HY#T&W*b>iq*cARnBI4HjG1l+rah;20aQ`}=KPSbS*lD6M`KbWnUb z(X1B`qedU?T>0}Z#;Z>{_2%e=T99j+q>)JhRp}ptlz$3 zc|mr@3Poa;K$JpHP*4?##55TpU5L%%#AP#Ll4)@g3P!@DZQHi(`h&_=jkVwG)jOwc zp4UeAEWil>6>1yc2b3$OkWpyJ7KMs1t_X!J08|)9<_&H*MjUX(spBP?G6^3SBOt`V znIL2g4{!wq%cbH3ba1snm9ijOBp^`>DU&Ip)A$r*;usFY0ZW}wke;mAfADbCi&p#C zTgT)FgLh5|XK6vM&>>^RVEQ9C8TM~-1q@T@opX9O9GV8+#>&e2H9AT-wTrO>AhkB1;0CIPgqww7MggX-q8 z%XfDkI+3?-lQ1cTDH4knisY<}jOBURYggrMT)*+a{*%|Q-D_xg($(|0y}P`n`%xpT zlqj$5d|cc0KENrFFLCLS~PZ7xAs=G^j0?aK%!_u?hg|v9ndDRw)H{H zPjW>Sct}%_EAH2|-+LaM4}zg!h-?x~OlK=N^hAIbRJ@eTPUFc|B&Kf2kStGRrV7Dn zELuoe#3B5afnCHSMTzN{1P)Qbqb(D%Go|8{DT<9*DVuWy`3WQiD@K5i;$S0LagmJJ zI5rl?Ba#FZs+dlfGQk$Z!Y?I7FTzJICCA1vaNsfnFQk)YY`mDclu7svKIYfBsPAd< zv3vqiMq#8dcv&1?HiwnQq$z0BBswjL%}{{TEuWUiqsX}o1)rNP7UjrAIZ|FGAK-^5 zOPIVoIcIH7?z+6JwYeFqbHo`6f|$36O2CK(yzK0>&07kN6&<{C<6LFU+45&)cdLtU zRF+(;EV)uydiinL#mA>FJU(;&aoPEY#TV|LxNzfe>E%5|XLlSf-BWb#VDaT+XKs{T zeR%0!^^MB9+tm$sYntxWHeIiJcH!ZplAG7}pD8Xpyf>$CH7iN*9cJ<0ee-uqqP`^) z;{`05n9Gz2xqvG|N)Yj2m4%R##AhaP=?V@7as`u^%p#_+$;-IZ6fRA{p(d~aS^%y< zdPblKKr%WWaD|AB6M`ql$MCVx6iY;il#rrCglHZ%njIHIi;gBnMq!pl(y(MPTbiDj zx25o4+4(yabzPweIB3Ohh$~S0wUFytXa-HliY=Ta{$}o@Cfu#!Yh2OrHI@huQ+x>( zA8`UvI|3DOHBf!d5})~Jb`BvWnovkh#ovO8FUN%a%zgg-xdI&u=A2YJCRCPDq&;Lr zWAU3DaLhCSj6tM~Qw^?X?cj_&Gh_oN>*+!Bl*%-rGz119T8t_IS{O(BZDYNz@m}|M zpL?v|9q4xj`kkZwcK?8VOyvMe?#n?3BKu6Ad9+jKY#ub!boQ3l)!(YDICt~v@iV9P z9NAmAr(o5V%&heiMJ`X2OlJxSBvy1B`P&HWuW-cQGN|8*n2VE`5$UX`TvlufJs!3! zvFY1(?7Ue~-C=MJSVzIiZytH2cg+Hp08lXmUv}t{b25C^D!L!KiE;&i3Lx-sa0YK^ zRTm#G&X$XX_!uz}Fbq~q#R@0@EigO^RzL+S3Q5eQO4$rK2XF;j%3_Kc3_g_tE@H@l zE9kUDnKUOW^T_d&PaC=%6Ca#Ye=vCG5v~|VxdJhNZ4m_>F zF#-OkW=Fu}7&jne?$K08m>bELToLX-62b|j{?`0?^D<(v=KtT&V9)~PQ(1f=FSU=X z0$!M7OcQ)J5aSEigbtN^656wmgfwj&nKq$QONOB=P%}^?K?S29Fx;^qus;$kVKpzz z-i2u4fkW|vVGTE0pEIp%3%1JBvdA1hmP(`XcmkPBtVj|hC32Gzl2_#KIC1=P<>N=q zE#)ok6|G$r&0TOjaQc)!1Fx)C~(N5TXe4UT(er z1y@wUhrr?r@KOPdJVsI>4-lxh{VdcEf};p1>;#rDRlrGR(-UYUDT$lLldnuj-Iy*} zo&YYJF=A>IkN7B1L@5(1qD8U^-%;Zh(c|Mp zBx*8?oz7)vu-O?bb_SD`&SIsp=_xD<9F+lG9>_9quI12^c?x&OHMPQ}R^ z<;B-3imz5cuDDcr`r?x_7phAyRGd8j;Mn=w2g|PQIeBU4(Q~_tF6}>c^-$T3Q0OnQtt2L7ysSw|I^awMKm&2 z%%MwpEIHr`5kI6LS0Ifc3O+-@r6Onn(2SVOCZ{ZL1==tIh%b>rN}v$|_em%?F&Qf& z!zoKb#K?k=i-PW0K-dT#CW0Ls$%u}kM#qq&;|Vc10aKK@Z29I5`;HY|yn4GDuusv`neZlZYmU%o9q>Sg+OJVfS`9 z{QxbLo@te5M(vpy^1K`xnHd7>t#f?9;_K2mTUDm#oyy1cZFip3UU~4~^tCHRXG;#8 zIJkZPmJQoh=B-Ol$&reZ8B8GwPm7PnM8;qvVsT622umoG2reU9#)(z1V$+y0ne-S1 z4I`%EC0y3dy?gIHd(rFgDxG5*xZ2NZT{8eDkc>IX6*FiYI~*iFqYJHbD#R5!*Gr9k zx~@fe>gdTVsZfNAl9J*Q==cOWK?2Z%jNwCJ`4qg62G$j-jLiaEA!9=c7<49?OvYik zOlERY(#n-9Pn4XgZRrD0;hO%@;C+Pz&*6I>9PR3u{2EtGgmXo(z5+UI&+FZ9bt7-J zo;QQe8Nd}M_Z=)yByLERZ_1SISd)77{Hd0XHj8iE=AE^B-q}a~V0OO&j5GvkVN~bv z85};nBcOLogylidPeLHfM)fObu@JBDqmc@=#rIV|)h}q|7o&y6hf0Mgc+>1thf@c7 zPb-uf{32Agg)NZ%qk@(fcGPt(pbHmz+#c*>9SRflmWT183FtiXz^t>z}E$W&!O?{`n zrPuVdslW8n-Gc4=lCzeJ6{#$dgeee;5)zZr(i79tI5HWI!)7GNa=|s^`Lh?wAKj{b z@wlzCy1l2esq@kEwu;*J%IBTcFM6KV^**hKdIF6sx+ z#IfVBTns@#poqzUD9Az*Q9!_QuyKsINJ?ZRH5$t!fQxXtf=iLJ2vRym2q$SpurRR# z0yTvtTrQEUl=5lXgz|KWG)*Q=OW>!-=yC~BB%~!JaWgW-D^_J~-?{lz>9JdPif-ROaqIqx zn-5N1e{||_nyIN8ux0N?mVr#T3&Vd%-MB2cPetT$O887;uin?xBn$Fb}^HR zlkpgGJ}W`UfoLJ*%78>Xz!eE%exitbrFfJ-S~46+p0v;tQ_mP+5W65&aBQAY9=o>T#-uuZFx{!Q4z3Crwf25sZr zR&SHl+2$DO9UdR_&1(X0^<(dh;~xy8uXUa&jmz7kw>0%BpES4Jsj9wk^Y)1|=MJ1W zzVpzY!d->ywya!Hke<6*o|MkxNoYhmHab4)+wT|smtX((yYIh`j*TXea7;R0#3m;3 zNhxexDkDCP5|c>9is?kDfV=15p+^nPgWmDMkx8|CN{s}i(MmiND!$|jwALbo7U0rS z0}CErnmmvz!2Q*>$>&Y|Ck`La67$8_2st?}8HV^saykx>Hn?!%5#u=o437*}2(pxg zhAcPgO>sG8puQp+eAn| z&lURN*Lu%;t>@j4=kInk>2~1_ecmYye~Y3_Y{Q(2^l1u0C|VJ_ZA@}fqYkqI>6v?H&ROf; zKlkU|J3>kl3FzwXI_uPWS5{;wB@z+2_YO2(-GhH<>;Ivl zcdD*;tiE@&v3Ix`>M3mGnGIIV41DRDu~D60ViA<-7@NfgHVHC2^X0<~$luHr-OpH5 zV8yydK)UE04K{`in6}ln57)A1f~V$zi?$tTkX23l5D<9fllCESJplk2!`nV-qeljwjV!wGV5k`Nohevb?&3`8+QO#6ldKj&AC&N3!vhD z_3fhCJg~^$Ex%p>DFT*gz7JD8g1Y@^4p)G02V9YJzY@Ij{NmbN7A=Y@!S{Zj_ux!c z;Y{787A4IJt&_6)b$XYIvf^^U6>icPXRs}CP|-T6O&(55LZMSPe=))nPzYwGRBi+A z)JkoX*shd&HM&@XG0sTX2`9NL&?^9QrQhI#O zw2UR&cWga*di&{fJI`F$b@tMpGgtPVxqjeu)`8Qv4xGw6c(P#c$=qEhZtgg7b?cE! zo4&oUe*d}k`_8T3dv?R#v%8L8J8~ia+|8m(IghVHFVnIc;P;<<_uRFt?fVX&s$Ngy^%YLtm-kx&h%!*OU?m_`;xOToVn2XKXo7Yd+45w@5J4Z%Z0b#2liS z4;73x?o6;ExHxkTRLlue1OgN+QM~7hdPbiebY9*BeJU!U2IfP>r&!|i`V3SA5Mqu3 zMDbCmm@x}t1h}FB>;>@N?RiT-wB`m2Z&hP&RbyX$`)ErK*xg_wUR~z|^cd`%tnHe5 z(*2^L=VenboDk90H{Ag@?#Y_IrzO3EW&Oj|L*wP&Kl3YW-Gfe_(vkgzZW zMQOd>;q}INU2dPvq96~RxZUb}h6&YMNW4P)RBovI(2s)zTCQ_Q%E zmjSM5?tjU0MF1*h1Y1oZSAZ|ILdVOu9V2g>`(8fje17|0#jdS8d>W;Wzu1ECTuPZ! zg;?YgJqEdglJb;dE+rLc0fZ|Evy!w>l#SLHlqw|#xI#oz>PUa&ij}L5o%*h*qG@RQ z&x6x{Zhs27qONDM0S@Y7xngo2S9}n)V7UT-U-RH}>+svQr+;V~ep@&2s-pARwVQ?e zHf>+waj%Yat&MYTT^e=a6lS1 z998qdQ&y0F00@Ei{Gpz7kJWZPoq-BC%M8vVn+Z+K(+pJ9cF)cx>tYWW$L}s?{%PAs z(c+^~i}|MC%n(MfibAfqU0hRG`s7Yo9XQB+2v*vPY{(T=IYl+Mi|g-}x7;glEhuit zeNc1$dO_yay%tY2PHELfi^=J7MMg!%CnYY)@W&;}b%w76{I7(3+-z{AB(B)G?c0kN zZWTYiQ(co+T#Vg{iZA5cKXpBySUN6m1(46is1?cFM{CkNIqh~R32L8)kw`mxLUMG!DYnZ>BLIE+L7UOFL#+z z4C)w?^b@2{PWluiOp8z|AFcGL6)u=0ARH=i0G_HNHM%&xImxJr(GX6#$RI_`xXP_D zM%xTgcCF7&yKSW1f}4y|o!$@?9lvJn`h(wYI(%&F(No)xpZn(2#l2^*ANcOpzH>Qy z&gASqmAe}}p3UBUK5OUcYg>-CDoE>G}z&37xyD+d| zw!)jc#;!5umU*hFcdEX7>Pgo`P3QBf_Gi@{u%o}8`B80slbvwR_+-oQMB~VK!|>C( zf#D~8{gs`aB~48aYHJHhOLFety^)vm-PMc7P9NKQaQD_78#C7}Uz(Aam=qZqWw$%@ z7AtKqsx(?Tt2d3@aFHLDNo*>mpnsT;d@99*+>MWWjkt=D=8)Gp%N zP^pDfIL+p*J9po_|M#ajT1xtGNq}GOiPF1%+A^QavuzAb=~lq==)E z@M%P>Cr}fquuv+yhBm5{N(_~Xgc?d66BV7Ax%Sk#i;t>WhF|^r;Pk(@KYdr%JM|$~ zOnsIsCYhP?3|9=iXc>9c`t*nT!IxEC&mT1oUc8*Qd)?OMPWNh`Yi*2c%aX{`2Y1}g z&#G>$uW#*a?i_CKecswP-aI(gH1xD}c&vS7tYhR^+aT=VV3Qy$SA2jLJrm7vy6E#c zobXX{_*9AJ=h5N=%wSR&bGTv#Em*GT2%cQ?f$C<(#x82whnbMYP))}$IIe+gFw6!k z!1WwZZR;RV4I@Y+Z9!t5R<{k+v<)*q?Y*i1Y%_uu`m@LHU(hiUtSa#OcJ{^0X!Yhk zuta=@D`q1V-OMcY8NsKsTrnRlK9vyp2v?NA(#`zhn*7JrK!7N2Gsn4)s&XDy-hz1$ zxa8h0ZU9hmudEe71z5w6ox8qb-FB1HPpGw8i_PxyMaIX+r7THVx-up)O=Gch5hP3| zL3Om==S*C)e9!6Q*^eIFtFFo~DbK!NeDls@Xh2aAn9cxAIDwc+B8*$bY^~-8P%*0; zjB`bxxZ-xn6Bx2!xuUT6yX?CsuH>*>p>R;7g;W{|N{>-`M5UK0^%A*Jikf5+Ga@iZ zIa+ZjB??mrBXA)f6CyOOvd~(OiLlc`lY(o+aTleJHdtbfgc%K&hx|_Tn?hn$d_2?S41dRD^f+O-7DPw z)n0qLMW0Af(Q<_k!`+C&FW1KFY-x5&vQ-nKm%CJiQ>Ac2(g06Qi55qiT@$YtJMe`x zmt&C1J+wK|Wl3nMR<4e7x(o!NmWT;n1jY$bOL=Cn?rCtlhOp9vMI$$B zNXQjB%B)vg4H}z~b{J`=fpQs?POZX86R@&E&2j}|XXH?#E)w-9P#1w%QJFz1r6mHD zI7A`-9Vz*Ok}lTDI64VO%@0>aget>B!J~>3YQ_k^*^?Zza?9pJr_SGEFXrr`>Kja< zCiK|M16NM*^*d#Ah$5IP0!0*a+CW&Y2=4xv6R8M%vOWqGtTpa~s@8uHDn7~;ADKzY zcxeKzsG8-9|09u#KpW{_g$l5V)I)b-Xtr4o?m*dn0qhr@utl_`cf7S1jxq;3U_sx8iclz%1f^0}*L zj-Nex@W{Shd$w-gl9{!<>}I7_jZ!44z%g8gQ%bW@ALnqaPER|y zW83vJr%H2k+NvtYx;o$7$*VZB=h(8?6!7`;%1J9L?meyH(5cn&v9TLB zY&`e<)e^8#Fg^79 zbaY%wYI6FrwB?xzDa*}HFRD}taZE;$ghA~|irsd2Uslnb`!$ufOUiPJif`TpTmcO; zujQ9q&nvl}4*;X$*4-+0Izu+B)h~k+uIF$?AtS&QcS^JFmE9_;%zan|O}!YdfK?U` ztH8_7-z+@#eb$UGmV+WpazcaPN)bs*D4k4WLgirV(usK*0f!bw(4ug)m_v$qgiwfy zaGFqCGQKe#cvkE;s)$88vDBr~ z##v2?PHUpup6JzjESR3+VlvWbaK*)?fqS#f+t=*eyMEu1&4*5JJMsNDXRqx%cYVjX z8{5v`_~!c?doSHMaOKAC^Ov@tJh%Dq$@TjWXYSg!X8W#f`ws3ua^mFa^Or7O&AEB& zPEOv9?=GDC_TYid8`dPoM(b&#RA3Nu^}-0fD8hmZoRrM1#a$ZQp<$vHTGFgj0jRJT zXuuVAqt;>6xQw(5panDyl{;x1tdoveuCOU#|EWtM^T=f`Tn4#91~5&il7`A9zf(Z2 zSfr6fXeALEK{(9`({RJI{4l*R+@U1n98np`>vrxuaqddNoywMiil*#`)qo`cRIvJJ z2IQk$5tx|6p8u#x#ry!pC!vD*7{XvhHBfs%vyPffGigvK=?quQR#VIsfyZn858}!+R zarpkp#{L)eeUr7_<5eA_;Et@WYoxJfw7GYrwRgC!Z>YU*u%mCFqrbngy`}s~+5M7& zo3}5Yy?pGz@tr&NZrHeW)v7gV>FM!F3BDMgEz)iByYxPX#%0mi3^YvDX$@wb-D2?h zy&1{LJ65eewf{iDl`D;p9zJhr{%P#lfB*RI|EsC&Id}Bp%7pY}tJ^DAnz?*Cg1IO< z+UeP~dq22Esv8_{9GYl>9-c2+2H5TomMf+MAqzHG(LVU9bLcfIz!I&qTmhc;Kl^>} z(;va_t-QYPYS!HitJj(3s66~@t%PGGWi}ONB4s+j6{tWZeqi6di8m(m|=<5*(Oj{O|ZikHZ3*{Oty?n zwvJ8K^o~Am>d!B2Idl5jj^!Jdncb_Lu62Ir<^<2K%=B;fZaI1O$mQ#o@(K$c6qi1% zsC-mgThiEA)!JU))!W=V+|oPN3cXUN0(p>tf-acnGb6paXDqWmEa`myx5gzt6R%*( z6~^Z1NuYqU^COxWo*N|alqt-3uezCOIIQdJ)B1K+(B!QS`m~JJ&O|vzK8#BYf5;ev zvry3=fQqu24}Q;#8s@37r>wDOmMGvLV-_mrq)_MNLD(=wFjqWexMI%m(;%=CISZon}gCD-ywuI2)?D9gT6mG_`F7jVVB%A0pfVNN87D`2Feu$a}2yQSF=DgZ^~ zGQ|}EuE>2@ef9REv)6AQIe(qy3aLpU)gV$*BtbcHl~`lM%?_2yjLVoCU@k4Ga~JYF0IETH&Pmh#U33Mow_7>WoE|4?U~;kT(j%Yn!QKX>_4{Y z*x4QDF7LgPweQm9eHYH}J9l!&u|u2o@6Oz@b@|4%X=|3JEK6OsDkC#<1%Qa%+cq59 zz4gT2?fW;a-nKkBGr^teQ2SIut8|eAS?of?yaWe4jnv2@^|((*cyw}?PT|lg?RpBV z+cu-dX4KkEI)_Q?0%&1SyYwoTmULLA2UOk_vJW<;Ww$!M8K zg+wTj1q#^$rF0P`4y8q5T0y9RA7&DUTO=Gi!t>I~c!xhNVb#{HhfZD0%`a=nE33a* zRK=ES&S?N)hn@#CA1&rg`~91^Vh&WWTme3eMNsVlJ*siA5nBB`uV?O3!QF8yjJ-bxP|^I}Nnob1 zv#}pewFYV#n&=#bcfQ@DV2A3jZ*QxruPG^i_@F2+H~-4j8)wgccjVxaZ?=B3cIDb7 zsY~PH5Y{6rYC1+uH3bC^YQ)rFP}J5@cs3& z+``t!Wux^?Z+iy*ZG7s#U%mT(D#}|=9y+r$Ha^~DapSm&1Fk*9P0_I~&%S-%-hNck z_Vi`@$jkQO=?=yeg5ip(Ia~pKr3PTI;zO>OYJ_zK6Wt?kh9>^d|Lk2u=d~#O6oXbOxKzVCDw)mct_Lo*6ZC&(%DxV9?@&MdLkPe8?3aYA#m<(BkuE zS#vw)O6m(s>IzGq1VR>h3{-&4nwhv!nSH;iu%z)}b;pB>*2}kw4j#X>cFVrF)D;Gs zhtiqMPM0?(CN?=aF*PGKeRW)7hS~1Hl$1aw<0E1&Dx~eY<(pQYxppDDs4(Z@gWN~O zxev>3Jt)tf^ zP^nQap)s*SD#j%Q;0hD1cNj^VMq(!UCIYjQv`209Yjs{V?NpK$LQ0D`SXhW;5fA5x zRbnYE6)J^Xg2z?xWjd5}P?S$gdT7F_l$fzlTJT#m33 z;FPhe1to0v$NZ*`;6jVw?vMEv_dk;>J_i--NaA3wU?vFys9;@aW*qQl?I}v?KgJbc z5%?vz;+KMoU_0)4JHiJD@hPZa1n-yO{@V-ZG(qD>u&+Ub?r~KzpL{j)>do`FZ-=KQTKl^z8>;U=x_$HJnRBPMA3nHl_pVi&H!WMSGC3hB z((SdHZ5oY^P$)$*Sp<)>AoS~B^Fl&oe2EfO+x3x&k*n4$+rM|`#q($H=jAsR6?a$E zkAOY5wf~3CA!xraI{BXyZ~klQ$NwrRtvh<)NJ^wHMz3|EGGj!jT_*KV>Ug*J+XF`) zl-Bl5yzPDZL)Y-@PB;&O{d>U-PJk;|A8(ihnT3iVt{89Wo#+|;VPxuGhMxb_(DC$P zMeDhXx4;KdOAts{h(gF=x=I05NYsc>jRFbO2w#H=w5ZU4icGk~B1i2cVZdcd2_NBv zn$(K)q}YACw%xdKv#O!v(_HbgxrdpM)dyJOWw59BELTi4LhySIfB#P>yT>Q%dWIj@ zcjXp6IeqN=ZRwdAdfO_SZJo!uKFXZz&^U|=T7#P{dXLu?6Biegm=K$il(c;5y6xKz z96NsTde+^?RdsE{;O`Fplt8O#;EMX7rZ>P9GaeUAiiAau?q7y0>H$>1DdeNU#gGBO zsGn(T{m^}D1}DY?T+zgG1vAcLMob8<4noEA`u6b|wLJr>Ya53)Zf(z=v_mmdKgL+q z0CkMQ@(iXogl#Zk(1IC*&Y(qQOJ7BEZw2fq?_o8cE6Qh)BLEeQz@pI`STx?#1+&@& z*KGz$Hy_n>KAguD!Dtce?>%RFNDx;v6qYpH0V=J7j#x|qXI^p5ZN?od=OJ_^%)VDy zSlS5gupU;net+}cu7hWnWp0m3%rM%$8l%+$xFR|_Iw2u0DJ>~=MRZ)6(c(hnBu^}g z5b;6<;c}fKWz~{HXOCXaznOKfFz<2k?c$2O#{giMlt*Ft)x1)G7B})sv!G>G+0DXI zMkO~2irGTVYxB6`R#7Dj6*F8hJKW?-ZqcdBxd%>OV!0xOlt7bxgv*zN%PFbBN_nEp zIwrL5AN^F$#44BM9kPcGoR_Q&o(WljW zG=u>YD0tyWC>Q4nNTEn2<|`mq@JS(RA}Fs;8*Nhgw1i6~vEX590M|e$zrpXYkY7m` zeu0E7M0w!~A)l5=jfldnFeGT*E3EbmJr#q9tRZ51s3KCNPnH`}RJueJ9jBsVC{-jy z`qYG*LL5r5m5eapU(=F*Ci%Z6d0$cd#WY{$B=m{K$TgAvm40`c+n(sK#5jyTr{3jq z$0sGNSi5@b-t_g`;#Xw)mMl$OzhT|Jy}Qqx*l}dfRv0KwU!9qlkrA1k=!lIn_*^Qd z8Fd*Ek3s4+h@*|tc(XLgB8}DY08w~|uRYlByy&ld=>LdQe37DFoUY?6(F;?IvLq88 zZzN)k@+c$eH>td4wcD(5fnT#(4+OZv3Ah5LLSV?ksU@8>!E%KSa)k_Vg%uN85uRDb zhkd4qOpQoX7+-;h%h3?IWDy})s1`1^NW;7+H(Jh*Q;8C^l0=g#!ETTD#%E@3KXm5u zjpFL8lG^JJD%q}501ttJ%z#Nna6jp%sww7oVSk1zJ_QvI0#Fg8z=Yx%sHpoZ?%W?$ z@ZvC!EB-oE%pX7c83m_5{%XD>ILGlR1>)^3eN00Hv%$5nn;PVbsaAIO2fK0fK(2t} zst3kfhn}~O0FAW`4z=|6)U?z;C@sp$zj6M;(QglI*tR}CbD4i>iYFn~>2aA228~=H zM=?Z#h=md!U%=sV!#QDLs07neX16UqEqUXXjVF&C&cAxK>RwS#P2rbA& zmXW?vjmssWAvm9_l8M!rRE>%$L_{%Yp}~Y&OsI!kAv9rPDC}}py4!d6$P{ChZh)&sgtv4@yl>U9n(57CuA`L6^u{CN4~L( z)mT9Fo$Q#f*?FVw<4@Yh>ln>K#f(^}fLzfAp#oaE&5A(_w)JBURLpjov@mM!t8D58 z0(4Q)*aKAF0Mrd0nWyk%c~c->!O}$!vrv45D_BztXvGN|K)M6XAZ$MfYhf{mD?Syq znBR6fQ-@Ysf2XwmZYhjf6cpDorJJ=3SHOyeEWj1_EAN&ymOSZxSlM>|TEUiGM^iG^ z`{S0F9X`F);qdyR;^N|xl4285W8%}@z67noCd1`CkuXBY3FU`iYAiM_?wiBA&Rn~2 zwIDaYxTK)83UI}(BJjfjS5#cTT?U}y#_iIZK(LszgoTP5aA@gVuDE`u1aJj-V>3{} z2zrk{tj;T{x}5Xi)XR-_jmr-_CiqxAUO_W`QY7rqR;41_? zIiE}LxpDzd0lhbI3#s<&bunf-(xCKd5C<8d5q*J&{uWuhh~V*5>{uWi1FYgAbuqLx z)nH0it0HAmd$`OMp^A|hQWb_&r6xh4jFwZe05J6CRGT*5On7ObnF!O!z9NOc!Z^Rh zxeJuMFb!X7N2wUKHQi!Ow^~xI<|KoRudjgg+!8z z{PM3O z7Dk=JpmiE(XCM{A*ksw1h;^1LY`Dmd@-1MgM8q0Ira~kNgpVN+m@E_*EhhL2G~y5! z&Pk+1OSF=7gKVh@Ni~yk7QNr%SiUUtz=`hwS7etyxmi>l@a4{#oo5;_)nw0ulWa9b z04;)ZA9K2}|EgK{9H{tPx#I7JieRpog$l?O)w5jji$KMk^v5p(6^v#^FU{OFLjkCm zYVV(F>j$ryg!y#Xe>%}RIN8+ytgdIMx}*2ellq+d_b*((a_sDhy@&Q}-ML}ix}_`9 zqnE^3>Dw2>&WZ~hWaE^p4K=~3mf@@T2tI_0(iOpEGddIHar%s)@btAj{ zL2*|}^+;9Ii@NT2jRS96Mqam%zwCJSs`KgVuF)U*#(x}o@owbh+rkGAcYm`j+OGF% z-*UQ#!W?JQpL3e;FpxOpr1&TJ| zgopva6=0(rZ|k2N82@qN^}ml!{js)XDDQsN;p5*gNy$(lxF{q9<#Cl#F@;JgRIEb8 zYE(pHA}ub`;UWVnGNM8=Cbr3CP7<@o5gk~QL>!laT9cM={J_rKob1}Bu94S4{UE)t z4HkC4_D#c~-V9W<_D#3-vkDp)GFxB4aK%*D$aL?s*RA~%HEqL>tJ|-9cm2ScjcXmw zb#B{wzjNn|gYm zzU>-*&1ORaQH$V9XbxJ;as^D;%%H`*+RneDJ%lx{sOy?3t6=Lk*#gdnfcaHdz&B$o zxWuBKsorE&*YUKrV=R~}K0u4Mxm@uCYOJ=6iBYgn(Kc4y_O!ZfgekEYWLRP#kO7$u zR={W^R8t=-h9cgJISId7!DLJTNU&m|0xS`8gB2fgMX=yJ5wOuST=A)p#it4_=AcC( zlLxs|QV&&H#{@2(+@7g~tiAj7MG_HzFEtq0;$R(Ye7El#kmdwkKc ziK(f{Y3VWX$!=e~$?8?n1{sD6Bto8q%MphWG#Z)Y->_@r;d93?+`0+l6{S_#MHN?} z7h>7Sz7A@c~Q@|T{O0w>k=RT?~C}k>6i=Qx) zSgUi3Ds%2vT)K7t_=T)JN55ma;-7@!3orp+iOBUNZB?6GdWX-Xcc_&nIcyG9i3OyH zhYN%Xk%W}UR5DbJVj2w5p(2emf)ELNw-964k#>8rLT7#ap zm}tA1vg-*aEpd@t56ShBJg<`LRYbVup)UDiH?i15Eb1NpyGnxX?LJ?2(TDw7O z*K3@5+No!`LOGW!6cQUDcHlxQ23AW6jmk)w1d|G+60TGniV7Cv`~`YhXrzk2%!I7A zVQcKz8VA1AB9AdD9khB$O8TCor>;M)&MvFZepJimIM@USH~>Tuu&@AJ!3HP*Fa)DT zaL6Lq;N|BG0hv>)8TbJH9Ip6BpyH!kQ9a8Qzc^HU)ZXfEg$kA{nCJxD&RY7Wn|oe1 zb-!rroNVfvZ0&u~IXDf}J^&jBS_dZEhNjv_UNrWNRltcJ^;h$6?>TZfebusuz&iekl+4JxG0q5N=zzktUGdb+VZ_S_kDl< z^1Zu{8Y&wHTKcC4U;Jy&#Gl*7{@gh7=Z2AY4Z~CQL&FV&qm2X4n){!(k4*MFf6+HF znOj(}ZQFXUnR2O7JIb>OLcIzs)?~JN@QXk7jlS#ZdEMInqO}ulf2>0V z6Q-D+6&#=49t0I_120>9C!4#Uw+~DXJ^%fSxBoHr;*Zsh{aLq5_8mN(n6L!g;s_Rp z$T(b50*FGYLM1?I4BVH9bp(*eh>1+7(1MHY3YklZ*-6xdiD?<%Z`Q2ONIrdN*X_KV zC(ZM@0vc<8zkUlGS%Ct6GzckVu?{`E;`O?#tu3x)t`<8vH*KABmOOHy7PfANlUy-_T>-z7n z->7Wp1V5*H^bHfPc@azz!B@+?%-U4*?1b@V$QTpB#hi1xMSgDEDccVcu$k%|4;;LA z)C?jD*mK%3Qr7|7O9Q4BPhd;w=qI@XvcyNY0zw63iLqIz7^`Z1TGcvS**e6we$3WX z^v@i#MA1CJh;1kDe-9Fk@Bn`HTfk?301!y|%=h*M)`wuO_@M2yj`87yF5kT@QLuUh zHu@)BfraZcQHwbV5ugu37HoY*F+hukdu0vx%Nqe&FkDfc`>+~7Mc%{OqKek?`aZxF zr@qfwy?$3@Y`WW@Xmdq6JpQ}<-^X^yYLQn6qTZIf)1VP0NS}bv{qn7!)Wm$h45>Hw+QEltAu==NMezqE<_%Qt71qxUae2mX<~GgM@QPU_84!{ z(zJCOH>EB~bvbO50;3f&ja;mg3yc`YA`7*P7rLa2JxGWj3-h5N9(0i#S>Qz%_^^e3 z9O&yv{HsXfi)i^*F^UCoBw&e-iZ*ak^2OYDANaM7)`d zwWuR4TCZ8_1W;j|;R?H+c0jJ6oLT?_a_F=P^B@o{YznDeE^!cID=yZ9^%If8drq-X zAmoXJ98?@mO2VuJCtfQCM6tnzZ*XB7oaizO7OTUpDk3Q^e#gEe7w?qbcvzDaWJwV` zcZ{v!WO)Pd13(3~P;<_>()niHf7Mzu7%D!)6`u)Ke1;`{4ph8Pf`EmkWvII4?{v%j zlz--&;>=G$#k@wvk7x!eW;QPvtY~7m0zgGe_f%W&%MN%`Ki%FB$9A_3yyzNz)jR&S zW#IYaC#_lc9vwP;Zt3dP28)SQ5u_4Tk`fgGZsElmiC8HVqCCDZg3F5#aU$>tj#`2` zl)6N-Co^H`{`EV)KYaSm)ts85^6tj2iLTKfhF<>b^FRF8&=3FFG4*ftPybjq@}_QR z;>o~JUH?c!?^t8+c-zoK*R!df@rmq$ye*qEokr53lGzcST@>b5;_(*q@`U8mC%!AI zZX0^>uYFH{-`V%3trNy8VCl#VRJ;sA3pl^BeFiERt^j{W=uGvzW8lTe#81=j{`1+3 zKUUOrUCz3@eb=Gbs6@F~CS0@_+_C_!pimiwO4S&w0@L7-D-5{Uh>Oga$VNz@?qIIyV7Q{5<%)qB@=QZ=L*f+)oF=h%y8hR#L z2d2A5e&`?jedqA&mfp$Q)}h=RdB?VF+vIm|h_tPXGG<2WS0uQWro^RZWUO1iW!E={ z_wPHsar3V96|3Wxq@*lOT?)Bk-NoxSsu}@TyzL%&)BZ88X!)@9H7HW?B1nv*SMS7p zuJ~K&V#b1dzJj14fEIPLt)`5%#f)H=I5tlr}KUZw?=9dg<}U!O{d%#U3ZmNXO;*B3m7A&a}E5H0SM))&kaEr2b%w%}1+ zQAJx>U2jo&+llkHR%CwTi%xU<66~%hrza{VK5xu)z|NpeV6m_0^o{*irfcJ@*mXZ-2+@vdaJM` z3l0zgdJh$BPUJ>mF@TC2cS~;-Ro*Una<`)KP8oRTPx6@z2;hqByJZ({-Z^^i`ZtHp zvRo0S#AIe#7@x7b&|k$w?Da&ZHpGE<~UDL2XGCPHq(6*gRMLvfoFvx!MBqEDcl z%S`qRgD#0uMB`+PT%DlSr5e-;THHqpZ3y2e<7s7F3gOd;P%9G~q*99vb)bY7Q~Kp} zj7lG;p?#FXB1hCHZKCWhOH8!S<1m{wB#jESn81MZ%>>Vmaok9RUltyPM8sg6SezS; zMMNT@KH1_(G$aNOjg^PT%0uH6q48u$f-*Ew6_%umNTN8&G&e=VOVM!Q0nJU*a5J>L z3>`0BCrs5zlJp2Hv@olp%(U06ahbFZhAV6ajg3JIC-~)QRd%)9ra~F6VCJVQWOljK zK}gJC*+e9A2o+)>UlhUR3j_iJ5$P2YFD*?qA?uvjCKtNNA=_k^E;mc#v@-BR;-exr zZQFa|+MSE}r8n+XvcSNWRj?yMf-5fA5=}N75$FL4bcOsKLqL8GS9~T?@sC3Vv-p7f z6y}DdWvHfQ_?Lx>`IU9^W7j_uDp;;y@7AGv1DtOTHe!ew?fuiN+WMFXdG|zn|I5B- z@1DN;bH~ujdu8>fFJ-Uaw%ZdGD@71KpDUB_<)~1J2vs6J#pjVc0l}A`0t|dIEtaIH z*iB1Te7ko0g>R1LpSWCly|DQ~8Gczi zG*ve^(J(OH*#Eo`_7%kPdN1R~MGg%~G7B?UMkqcJHU3JpG+1i?inTm*v^a;Zy&`DnR|A}k6- zhe@LBhV?6!oIJcIFE6*YxqIZ*Uj|=7uBh*Q0o2&f7;E&y_sK%Vhg|WB4O}o>0ses? zTC@SK7=8=bsblC3__qevSoXENLz}j)b2~G=)-`_Ps%XQSCDCiwEZ?wo`;J}T?mu|u z;Gqkfw;x!xW_@DD(xoexuU@-y=k9G+vvaDOyBV$kf7~=n5wioxCgxu-EK#(;(dsV) zn&pbW6DmIN+x(=MR7fBR!W3h$VqCsiukTs=EO_wjN$2=`b&S__j5D1ejM~OnG0h+V zDxLz>w2oE-mS`DaRn-br-8N%{1?U2*1qh-7bH6Y+pDQ3*G_Z65RmH?HDw+n$n;5QO z4j@-FLIrchJhTXui!;fQ`knw+%t4Fbr=OvV_kh8mMPYIMtm@!n2_xpro#IBo6(zOZ z_lld2pUqma<{N)>y4#mzcgNV>ksg0^R7{N9>!WCcK!kI6G6a*;8d|GYtJFBI5UO>! zFUGNSHROu3SFhYIskl@AB&(?MVtz5$3$EX(%q^9+&fF*7- zbioh>G|>XOQ*!feDO+4oP+Iq(y5(L4c;|J1D{>!H-nv%~Ui01cf+J_IeRJ^4jE}bw z?6Y=9N_6z9R7bL3=QGO93YA$wTNHW=sW#vwjS!TCGRgIBjXBClyD7qkOO0ZYUL@4= z1RAbbE0F2Lm_eqn5GuQpcBvFrIbuLXw3tf@LU7JPG;9$Tv6$dSsDx58uJmZMu_i-; z*^*+@#A^9Q;jfY3{14GThsi@R9ilXna)X@EQr$Gc@$1W;;0`(yr|TTh@3Ks9Yw5i%nWW$l!#f5m@&kPVs;dBqNJOk{iGpU zO*sgR771kG2*yQR2IOZ##pk)=e>YSx!P1$7@$0V^e)-$qaYGklA|5H?E4UmoER>AkD}}gHs&U&=R;>8;z|lM3U9Y`W z)cdghMQzXTJI4Mz^7?;{O#k15lYj0T`>Ffsj~!3nv_5^=Ffvg)G*&S%Ts`o#ZeXGr z4*HyK?S0+W^QLR)ZU3`(0~2p=<=@@3ew~FTEee@cCa{Y+QEFwf%e6Xv*_ksJi)+DK z{+Hh8f9QGkQ_sk|&Y>UL244q3#Vl700mOV$0A2@dY$cZb5k6+ui>*$L0 zTT@o9T)A%T#w{BTe7i3zub{T2ca|&W)>i}@Xs`hjmMGW?kRY^p@hPtOIgyHwxOsni zfXI7i&hD9vNj*DKq=%`^2$W}ZjR$i@UFUc`>rxIhmn#5Nj51IGL87u{I3RGQrhUe^ z8#bJ_4OO=eF?R~=&BD+}xT2xAqP`cP1$dk}fUq%84%9TrXrQc-72t{)wD^E4>ObU) znUg)tc+<|n!Zm*>n@<;kmGA?`083?Q;~j_=b+;dZ+yC0a$93S$z0#&xwE(VoT-90l zu>R=jo6A=Nu2|~vCp$cGHmBd}a9izmjZQC;U|)UB`Dy`2h7uNw+3B(xjFgg+Xbp0I zj3Z-J`i_IU&t1J*SXOnfsxjwr&6UFP%LNrT?p5a$)#W~@&beEfUGOmLHWc8Bo44V3 zvcO1mAOJC_-)#Z`e=_U zEk1T_x;-^g?KL0G)SDF=1FqI%S{rHbYK+l(%A-VWh{z}u8w3&qUuNK= zMiFk3%FU?Ug2^p7Va5@?Oso;}Rf2E@cM%r$H4?fI3tNOogemzV14_75bhO@>XtAd` z4T&a+P4Wft#cyQ4jv&JbJpurRG!TRy!*nRBMP(WU(V@5rS6CGqA8k#t_*Z(}%bkW4 zJsG3G{3zm;Njws%M=JBl&`1>X5x83^chI;E&J2(mQK?ZTGfEMogaBk>!?aF9Wsu+s zj##`cM-!fkfZ4!bzhEK1S}ok~HB%eG?W`W*)^9s9oUN`4vG^Z^n8 zt_TbVVS^R7imK<2{0I(QeAKo3Gd&K+MlZ_n{kSm`5 zY3j%S*)#g??xV&dC$Fx`+~M`c%W)MdMo0wH;Di>D(E^@2e6fbd*UJ=U(!3-g^Wed& zx9@kB)IG25dfWQ+&%IOs*XR%bYwC~x@A%vQ9)0oWfwABBjJ#6z#pe96Wu zM#g`<`>=Z7p)*U;RymATg2Rz6{93^c*CJvAF4N-@9VXH-P@%_!MqFf(OYEe~slwc9 z!lNM_YPpF7zZ03yW?r)_{qVuP**SUDP2D4}{$udvUpk)t1fZe;a>aDZ;A@sEf`S$A z#d1X(Gf183*_i_WSb&#$Mt%feZR~kb)%^7O<@~*wTb5ZJ%bd35Udzf@`-au&JNJCE z|K#cY$Il-)c5&~w7dGzrc4_A3l;x{4H*MavXV0lKXA15=Zs-{7AO8{NL1yC>?4`wC zNWs_1Je-)r6%+qR66EJhCHuhfJHQq5)y)nF8?S?g7>qif)ieF44IN{wSZl00Al4TP zAVlj(b?a~yqe|wnI%q5i!xb!AFgFWOMh;x4c*bk zVMTj!b@!b|jmOU1Wa1S|onEkaMjFgct=_EGXmPm$AoiDEhAmvk#R<~sa`+=%R;!k# zQL{yrlp4Kh+qy%ij$X{pE-0h3N~1AE&tKkD|v@bUEZ

}69hk~N5EcY6NW>bUP|fG5co7QDVm$n7B;-q3$O3eRD+GEeY9~~F8gPYs zxyPRFAiVNWI&`68fl$L!no!y*SD6Tf0Vi}AuEkLej_ValD@D6>#wfEr+38*8b1Zdg z;^HOI(;t*i(nKG@Jiz=SrKDCTsP2Dl=aC_V}mpW+G@DuRO*zaUgFTmeT6 zFpJM{?JQUP?}mzCt_X&TIcO2=xfI|E*bM=T8z)-^09U}IL+3Eqyk2zNz+Hay_ibRiAOB%ap)DoX>-HJ8e zUAj@;(mU|uU%FrXOWWv=P5rN%2VO&v7@Q753)l(51}i!sSG?(9xT3xPMO)ugYwu(i z%N0NV$I#dh`FG29>^Yi{kZ#qP6kHCv_-hqET+f(P7ywkD0v*cNV*(>CG|R;{h0LKs zofPg=6HYbwK!N21;Fj27GAv6^-M4S|wd~x=M#vRI)4^N;A*U7a!%S#mE?NY*qLmqr z#yEvS=Z&u6H*J6`dZ(*fpI^ItXV>cOOH6J!<|xv=I?2BwbNRMCJ9iyBzT?pGZTpUI z+;L?2x}8bOG82}rT)%ba;iIRnUc2?Mw6>*ttbhDn_vjCE>MOuOQ0>i39ceIE1nMh3 z&lR7di;u!a(}xPCj=7UWKEo9~L8hH-qJ$l@4y`z!&N_aN*0)2|y`O?Q%w|2RXKgm; z34_jCc#0@4LkBUE+MKs7uwQ1Ky7ls65|9t@N>^?$UCbJpb>EKOj6 zf&x(SSGgj979VXvWd|hPhl3Z}iYnUfl>)S=2WSBvS+2MX&otgCZhlnRQU0XwL22vB zbGKHl-R+A?w>n~UdWVwI6ABfA<6^0dD-ef<3;2AQTCMSTUD45Qhh4AJ;x3ndb>`Az zrw(1tx|UUVC;xFpUU6;q!`kcjYk;zfz&c->Q&a`G;?~`Vw*XocKFTU!2a}cN+%3Na zRhA8Oul&}7id#jMY!alTq3dBy+nuudyrL@bni~bhS96QbT+03S|(V? zMtgCsPoeQD2#Zvt0XPvBE{6)i!xo?+U&t2yPP*u8G;|>WxPr&iiX|3A;UP^)X8-C) z?@AvXOAAdxt|lBYifAjQv&(4wQqJ1 z5{FFU6a%inV-PYCQ>V&x87g{-N*+f^eQKdy&NCnplqf>M<6s=FELVz*I7zCAWcbKQRz{?%xM>tWLoLWq2{M$zbW)J65H3{+mMZv56`>i5uQTLdE|D)t zQiQ}SIdQZkR*y%URFNjyYtp$*2A9d;FzTTITIe(m4F$NuOk!pQVtvmQs8xaLFew4B zg2%_@w9}iqbk+XN+m0RBb?DTAeMdGe-;tnSty{ECw_uk;a4eeG<-wO3MII$L+GnTujZ9MtnC6M~~rdT@*)7%Bo$zK=r1 zN4X*xDp;=gWuXFcMJpSu7^MU~P50ot-l0Es_5ax1K2_T=Tvpyubg#BB=h4MeSN3k&y*w^0 z(Q1!U;V#KyKfy~dkm)}A;axjRii=w?CGEA z>wDhQ^Srz3d1uE&XV-Lh_uKB?KXmu~*xmQKtN%q;@5|1fX`t@@SA9dTdIl$NT)&mM zV!2K((<4HIm}3@2MCz!t$jA+=*L{EOR#oTF&>#P+bNWw>!#~t?Pt`GrhG4E}g@4l- zsOTL00o?d^4!ma2;w6I?fGef}S4{u-mx0k&+4+w*ZrdLfnP}GNl>7*J=mJ_0&NO|9 zi~uTRJRQO_U;+~^v?|1QCF+8f_=KGztV+3_KvakX6$?x{ZE8yL&fU8%-OMR(=wi6y zKjv@+;GCbq6)#(69mp9|FBo`f>U&e$_Tt**|DV14j*jZe^F{yuoHw`IJvJCgmGh~b zbC#-9rJMsfV`GEC7;rYW!2t&h29$Fs<(yTyN>Y__&IE^PhYoIc_spI9-uvgiy-$^7 zfdRYSec#Ml?|OY#twT{LxpemD?6ddpSAA;#^BGF(&Y1XpNr^{t)1EqZ;MudMPrm-@ zQ|Defbn@)(Bd0R<981XBla#&p_^I>nzW-@iSz~Lb%QZYVGIQHI5iVg7D!duG39^Nq zp)X+hfv$MOy3N5Mw7vTlSNxb6Tb~&S#T!olBRZ5l$`wEq6B`-t_Q3Rb#?gx3<1nzF z$XIWP zFL0kLLbPb<547~dm7Jkd$5vq6>k1dh&veC)XDvXso)~M|oVIp%UAw2c*)`Hr$vZkKePDfL}&(`IvXzm5B z05ATuxbBnu>PsKxzx>umC(peZa)m11qDr!=(yZ!Ct0+OsG72dQ22aaT7)3_2++SaisKP7ObS%`(wNW|qprSDE+{9h;|M zu;mCx$>pkr0)t#;(W;YUbQ!URoY?5y7F~`}nkwhU@wjmuVG>W8CXiKMoOZ$xh*=Ax# zSh?7cD`MGr@Mz`W;zOw5VUzjTQ~^F+M92`M*$@RtmH?L{gs#{rChruHcM3^61u(gM zQZA2>%Ztk8ZO`F7k;MnDh)5G+QzevC1v5p(Pf&}k8hI?Nx2ZI$l?JsEPFX1BM!7^U z5om?L6)c^Ar5CdG&=@QYk11m_xd=j|A`-bFJ@?qDmp;01>E^rdT)Fb@dlz3gemdK* zSGD7iV%zi4#0!a>vljLN9W6;hNHNHBQnU9RJb(7ps~_bx)OLC+TOEbAuB#jM-qB7s z9Yuf^Ho(`8{Ob0bmFUKh`tDMIil$zWlE$7AfC@CFjVLNM)7)1P+WN6I4?@Kct^mJi z;MeWpRj?jWJo7<;o6unuUvz(Z3%W|Y1>J*&Zgmf|+0nbPTjnbsx}d@Z5~>II^H6bb zMNPP%Vk;_sG<_Y;y})qXiwbnF<&rZ1Myq+alQaNaF$c%};1YC25M0rN(QU;s1c0&X z8D8@Yt+{>6F3+OVHEXv|4h{rum93ZGxO`&Ik-Zj6rkt0+*p|%2WU4s3t-1?mPqj2P z-umLJ)h~ZHzWkYEV#ywyw~x#^hNfNqX^(%}=bQF=XFQ%+mwVphS@!vF4Gn+p8@}Zk zUIwF{dw9V;yzCxX^NcKeMiyMY$!k}xAKtYSu4h1qS{l|s!zC%DJCl-*A3gr@jpBCi z_}CZUc^82zRysU0J^uNDktKL51npRAN6U9R(aIHQIjq%CrA=Te2l%VudEg3faA{)p z?(+KABcqGgZ&n^Wa>^8wpb|;>Bmxf?A*J9oESio(*KlZRHU&h(p=!A_J)dC|GGkzO zV2)0}R`c0XHo{|25eiAEkY!|LoIG>-qw9Iiz21q{Z^xFu@l4+7^}{A^1H-UF7tF@+ zy=BGb@&+oxu7I?FJy;jP|1a==#|bAo*1A1QSFhHbIB+IOX~~F*2S1Aax#@?G?0f3e zv&UaNd+6k;-G`se+Wl1et|KYC4rLuUe)iROujf@YH4pX-2HYbHLz8enNNAtw<_3_E zD>mLC%UhOtEWsNhAzf^^BHVEmRm45u&u( zi;eX9rb7X)=n08pBRwHkgyP=F1})%DRX_{ZXy-E7tpF0CB^Kd1ijXJ*EdwAUEul*i2n^T+d1I@HzY+Ej@id^csE1P)VOpSp z?FKdj&t{!4&=nmZn# zCF$GJ0EsMOjedIEm@Il5yu;OW(63@=t@Ln6zbws)-+>WYIIzx$(kCYi_=I= z5{`~b*B~S%1+O4bG$h18;>1vRF?7C($&X<%RaA-)kLO|t5)whhAnDn3J)33Vu)(7m zL1Z+Bgi4pu=?a8r6c{u0*~e0MolJ{A7Ng!LmF4m^86snfL~9j_bO=L2ph}2LHIo}7 z62>Vc$y#})L75w^*&VIh8?D=8(CpNzvXz=Fr7lxt%v2dtmAXWk#v+j!_yPr!C7>W& zBEljf2%g2jv*|bv4a=ip1vHG9ijmPVN=B3hiP9pGS|mcp*se!*M6;qyY^)guXXfDJ zxcEdKK8=S@=ZBLiAY{RNALyeHzY$!v01sUuA_7|EiqHs&IRav~fRN3{XYsKa{K$0v zj&yzmi~y4kSR$jQD_F@Ye!N;@fyFiz02Mlw(x6hnHJl2mUMkdzIFJ@F9JPS01gPL5 zVh)?n;d3}5y(#Iy(`VoMxcEwb^_AYpCCot8!zU|# zaK*i-c;KSVN7Dj50{~I@TKfI114C^CL#=39(6SZaEEJwiwFlcaHkpQ8(c_%#g&hh| zPK2f}oD*HH$*xDb;>W1?VM{5vuH4)J;+sRuW1`uRL->*t&E`QUF2IRULNy%VF?ezw zovE022IpO)=-m+XP64=ThN}wUK)>V}S@aGsd54y~{$=0D>d@%=@Z{~zZtu;H^Ikmm z?6IWy-AZm6{Wqzs?HN)=wo&o&$>X)vwexGA&)xbeFn`BBx?~S5fKTBWnfDCCc!%aa z{&|;w!QoqU`Io)JYyQA(54cnxp0^KAI|2*Nu{GDkXU^a%81x4mfln@9IhvKBqZ5EA zqN!Lj9iOUF>`qO8_UThsZkD%uCdWSi&cFDDeQXH~F#|(zS0?-x&=nL8{{s5GgK>Eg zjLRV4dvpXA?IZJp@Y4ZT%=>~%le2eM*1jGYnZNo;@t$2rb*g9?SI8xjxCE?(Mpm;C z9S_dtpMh=GUbLHO`d%R`i0M8<&yE;tMdgGy2=Wf|G1D{kbqf?;y~cM~h$_@-{d zRkC0>2A>q74$Vk-ejr>@1CHb2I}zbY1GqQ@ymHwSSoT5kt+_|n2Zk1}U9W!n(CJu} zDIvy^mKdL%ow8?t?!l)I9ewWjzQadzb{)#dJeafR_^zYRA3gKNrH=}$>beH(L5FwR z9a!{^uDC<83au~+&3A2a1-jQ5PU*P9`(EJ|Az1LlA6m&7ddtlZ4$a*k{}0)i(|CA% z@cj$}5727iThh0+_u0ll@0P%F;y#d2u?t9x%>c^58sO+-U#QPWc}%8%v5Z;Vlc3o@bXT01_;1?rv2e;9=C>`L0!=jLPg(D z__1%Osn_2G+m?A7dtjh0x2H3y|?Ksfosq1jt(A2iOU^~S&v`GPMun1{U z+itIcv>2>z8?dzvHna^kw+_~~^x2xas~bD38oMf+x~p1x>pLB-{r)wAV*=az!g-4!4?Z;DtR=x{x;~-V+_f$+W2_op8YAW zzWs7ZO;uf6cU41ISyfkYCG0PjUkff9+X|}N3M<#s=RJkWX2CZ+>OV)qWAp0z}QGD(NHz znW7?5bp*PB2z0?T(pUyM13byclejptf4(o|XTK0{eO?!HLK%BVX~|U?5<~(WjUd>86GqT=bY8qjn64CMYs9;B zlD#^`KAq}-PIpirb12$+#2kMhHeruBDaRa_Y=}0gH42GL$PqFr98x5Q7{Mb&3CI`` z1t+HABs83iPLR>@3L0L`z-th^4#DY|Xb=pD0l^v(Y%~iSgSsMtM@Z!pbNIwu0Za~` zkPD8%GXerQ&Jp0Vg?K0m7y@ubj)<5oB4xuzVz!Ww4HsYlir~`)_!I#yNq|iiL;+W1 z@*^`v*lZ~=OGZmouoKlnt6CPLmg`kYjY_2ht^meR$@FrOR?G#o&;V43xC#MV!ea{A z3;~xb6iP)BZG7skQ!l@Dy}F^au>&~s)4bBRFT8f*U`no;v|AT(JQ{yKmU6~KIUY?t zXrSyiiL$Jw)a0zEo_Xo*56a7$hRT~gMfH7oHO=`o4f!>;g4)``+J@qq*5aDZ;+n3a z>Yl>tzJl8BJX>deeMdoKXHipkadXHO{Uwb9rA-6nTU-I)S{2F`S5!U16&=nhG$B`P zMa3_m1)QVk_qX)>TKj!%1OAS|p*9fs3}i;TBhcxFO^e_Hu)$#Kz-T+_if$AY00!U@ zpaONp_)ogx{+?p)>3)EU(3a8-SA^#%z(9aFf6-KQG^cMs4LvV z^MDp^K#S3N*VrN$b6q2=&cLc2u2NVASIW-eIoJ$+WY#yb=pR`PPJK49{LSnae|85K zDod&^o<4IrBk8b)lTH2SboyiI0#cev^up02WyKX^bGOD9zw}St9t^<2(Gy(q2bV#- zBg^Q#1ROL6(Mxsk#rWVzH*X)A=^vgL99ytY-*(RZ);_k@@0;oF^?rQu{bOm#(c~x- zCCWm<#3O`Ejb>kZ&dF!beUe|@?wKCD``z&3XRh)2f#EU7@H7|--6LzRp=Cf9r*Gah zv;e)SF+A@dU7DJ`y9!+4pZ)mq&79QT3ZYVjaM?ugYfco= z=}It-3=NZ}U{a+_nvhB5F)1ttnNA}s)Ux!PjFT^% z`uIj(`=EFJ_V1@xzZsfZ4>j!q*Y(c8;$~d1b^FqWD?-IKL#_z#JVncduK0pbbpEk* z|HLh4aPeAR)zKr*8Pvv@7*kw=B{?f0Yj^sdgF6o%-M4Gk?u^u(sY$!`>^ph%^o8@6 zKD|-a(m60ZG7f&uaQ(~%JMVq-Y?;vlobUu!(Dw;^MBhtG8#`#wf8vL)AB42HH$S*y zK2+E1Q9+k>3~Xt3cJD!`5edu|Y;1iJ-EbXlf_Bd~)jl*o9E2BwhE`lmqUAb6LF-_k z=|&4;gv(-}z0^1EX@>88-0zBwyCGp$per%j&{>Xf`KF;LucE zyZvTK{p)XC$=&^wSYp885fTw0lMynBj>8ipBQY2}md;`FRT6MrYSMu5R+*_)XIga` z8HOXzW(5?b5Sk8LrYP4TR}zJjp~+bwawRRU}Nio zik8C4mcr0vMRjXF2sp0oC~fGe02hy~_NrD#b(^!Q6}ZAt**FMTawWg&;zxO}zjNi~ zH{U(`O4t>NhmJ<)O|oRf>l1-1R6Lys zQL)J~Do%nY!YK;^O;4m7NOS{*p{LRmB&v`=;S*^pCc`XbCo80BDt(5=l&;oUB?>)H zsAMu_2uVz5s5rW0ZT8`${io8io{vvFYqXrw#2!}1W~+4Z&=n+61W_8riblk#GFgsV zoU0PIxB@)&Q=^5aLsX_#`1dQHVYy`MMERsoOhNSd8XI{IQ zZ)+@X?JBBix=~bp@#0(09n0KlW$ZEHo;DHA#*)vNDJM+SqcOC-CPAiImuN{mbmaL9 z?-ms|_)D9-MSz;M&=m#16*V&Ar74!UTmdWrOYQkvdVMYZLvXn!?1Tti(J}xoSVr67qD=q^xQ-&^iXO*gmpwFJF&XN& zh^|+EKxfhiqrx*Yu*DVjEvVRYjKGNqxSnBn0S>rhi_Wnn*ggX;Yh1Ml zRt5qqgJ9qrne_}$`5-Ok{ehLh)aR4ye^~hXzxyUuYRYZzzHs(zR`OF?&QAJ2X98F7 ziK%kI=|hK#^2C{`+r5%GIvTq-Rb({o&QCZN1Lk-IK9*f9|f_o!RL-bJ7ny_3SGzUA+EbQB!rRbI>!Dg( zo9RLqc6Mzn@7$UPxMFi9XK0bG5bSJyq**b7+Fev|g)g{nXZa6BeUr1ym@2sAz$yX$>_RD{bsW*P23CKvc9iDx2-V75NpdAKk2c z>w_Dwzw`0SZ@zc#)$o0gxcvvCbF$Sbi4tqHz^G!Wg>)HHW>%UrEg1(hllP>?WhaD^Mq(vcvYN;+P-q4U)j*->DO4qyCLz&96hzHpnFRa)GaJTgW^6PcxPx#o-`2`R^8<4;D%9@oa~Q5lluDw9BPk;%@K|q8D0`NyXNG6)B@XZk@iW~_Hq=lG}B_?Ew;4+LY;^=hR~A=Sx+uo?jB3Z;N8<*~$EmI%0lg9v$H zS0tqFI`z_pPb+Fm8rll0n(~Tm@4oZSnd7_mCGZZI$j`=7&RHmDE!2~-^ry{?eI|ZJ zjLI5q-hbfP*DmE1)_IE?J*X>M3Thh*YwC+?Y{j*WCAIBkw(io}zLMJh;@ZJNTVFw4 zcV2x*!4_AP09P~&mNopeE2XsgL*U|~&)+%_KzFN+wc5v8 z21nZl$2!o$J6(>+Zs%05Yq}S0r`T2~IlknA^9F0Kz?vhtIv8BF!yEc@p5aOF@RVn0&NH+$G;wEq z<=feR{Wtg6QdL>)J7-=1t~jpe?PWfegFK!gAOTmLI&`owuXJc)H8}T~Z}Ju(iYvI{ z8(j^IuZ@ha`A65i!F6{Kd={t|Cy>l2bcH(rhALQ1!ZEt$oc_|i@O%5%9q{GDW8Z+%Cv{9$=p!+`H z>QmS7qBpqg8(;BHta`zyI=12(Teb%m2LcNNBlF1EwKg+zYoOQj=BpR2 zMk}AjlrR`7*!zP5ms0Q;Mgc2E#5GHWCW+7>;%oU_6^AWnF~tZXLKq?@L&&0Y8B`XP zL?_{7B5rbm`PkvT@4fe4b9>+H>eo}tU-`z@d);7+n|46REyIj1!yc>~tmObPsOTE%a87_9@5tmT5Y!Lz6@Q~ELbTXAGxqnp;vYeanV;DQ?P0FC zj}}{9aUU%n?FuyLtVL+I$ir#zV^{o`7I10;PFZZC!qeF84W*$APFX-&bhu&K(Z>!K znhjTU*il;8ZLM}&3ruaxAiNf9>#yyy*Y~>WdY#1$?N>{x-~8a(Q_sDalCejvHu1Sq z3Z91BfyGB+NLUOR7e&EEl5vp;jVP4yHL<$rIAg3%X%z|M#r#C0JSkPT@9Esv-@jPW z*jCr+s%f-WRQ8osbeBR`v=-Z1N@`k5s@e*x+wyALKCN%RUI&4ZkFKdGsA}1CML}&V zTD!Xsp2kC{XmwULJ1Uz7D;fs!%3D6XQSs*G>%bMSy!GDs*TVZjV)yKc&dJheq^OhQ zBxW63EvASNNsQ8*5tn%=CwWhrB{M!c$*hHqy3~Sb302PA!NvTV@kE3mlB6Ob20G11 zBO9nhJ%ys8&}9^+l*ZApc`qGq$_2K za)FW0k|GQqiORr`iQA}zZ3uA(haAa=X2HqmLi z3*g#VTvK0SYc92Ql-YVqZT%&-0pN-vTVG*aH+mnW3*HB5=_x^7QQ9!@)2?V8xX%?2 zD~I)uaz#t8uNB4*P|?~0e)oOg+Mx-Y1o}o=2ZEc0``TgE9at#13#}WBmiyc2P2hx; z05|LQJP;LITUS2<75BNq`H-a)k3a<&GJL`1q2P)iTs4m^J13SL-4;P;oZGS33B{)IsOSb{x?d}wnV*b|L)yqU%7Cz zysmo)xZ?N2^S51rsX^D!pnuXa3_b`D3oNY(Ms45N>d@5s$n-7$)Ggn{x_e^HF}6Ga zX|d=UUG`0`4o$8FCYDFX7dqPdUVPydy;8>}k>v;_MnJWSsAeH0hEI(a&`lz?Ny?9r z2y{ZelFyZ~xndTJkH83-Od*TOW6)V-BApN=3MkUA*vmLsQ4}(r+ggf9n}t zgY#FO889MyMpr%X8(-aw8~i9xS8SpJB(&UO(7)&ju8mB6Ha7pIb7Zl7Fj(2p_wsA+ zWh7^d5S~&b)@v29vD$>BnDq4c+}!kid-fjM|J2E6Ub_5ASzV{!IdR7`3H!(oP26)I zWGgN1d*}Sv757Y8Y-wWhU&IytKd-;)!(6eI7WcVgD=i-3iu(#&+*h3QK3Y7`6+fbd z54A)X73gs&VONA`5qhkLe}uZI?{w97hG~J$S~zOkz=glFvc*-|;w*1b zpwT|`NqOzrx8B=*_!)g{5*^_`xeXJwEeg9mlJH~%A!0iz@(Bv&2|E5sgc!kRl9d{9 zOrpt>WRBG+-`uKh+s$Ibc<01UXA;s;cK0iw0Q25WbhH}}I6cw5*N70r%{M(B#0WzCmAg%!MC zy98YE{)?}N>tbosQ}yYohV&F;da}YA&C|*0Qm!OgX-tVt+MR06N{C5~)g>5}7L6oE z#?=YPGWrfK_BYJ!7%`r%V{l`6h?z|>A%tieMN6YAs4N+ct!DBJ9HEIXH}f?Xf!-?6 zSw&i_L}n6ERjhyElOE%d$SSThR$)lh8FO^edv%808cm8^5hIprc_Iyqr=p9DEKQ0y zc8}J)SF6pENs<6mcw(ziVi5}re71~9=aQ*(9EG%ljC-7hdz?ww&Li&-Qlq3aoSZ=f zqELb`NpSZW120EiA)`jgC=q}b3TlKBhytyJr9sPK=@G1vi3_>H$|uJ235k4s3J;gc z$E6DJX##wDh!f~e5OACxK8EuWSz-u@Z0QfllHxNZ_zW>VO@vDkz>kn2Cg#Y6 zl$Ic&S)|NZmB_4Do1*mwy-usus?{o$T%r>5R6@2|$kK>dDgjfXuKrlN|Lk3YKl%IRZIWonKk@J?EpXJctE#L`Y%7$>aE zgJy1qUTjh+cIEDW@wJa`R1Or>4i?n*6x6mA+FFWiO~tmx5?gDjtrNJS%+_CO8z`~a zi|hJ}>U#-bHe^A(d__9>8VJ9I^_bEek`D_8EGDP;sv-<~Ig~twGl)!YqY4h;0cNEbfU9UGU%sSIuK^zQPfjuL!Pz5#Kes?id5E zScdB@;bg_6%Qxfn&cOk0;kT2YeeVbWS5#km{)Kbdsn14>4so~d<~#{pks=d3ci=$& zjUwOJ(g<+H)GhZothhBa4#w{Fk@1i#ZhOaWxksU1;Ae!cSOl(c`xjlFMNi<4Z~B{| zrSBc1ce|Zajji^#Uw?a7Vw{Zlq>Q*tMtnj^eKOIgI3dSRIC z56*dfW47An=TDx|$W?3-+)NrTp`|G3iBfu;m}U_(EK;^b#)ow(gs_W|gv}PQ*a9XC zM92a-XYrvc2sCV@giVh(s19T$zx~>)4UL^s%U?|_eeH$w6<`FMgRU4`1I%!buDXIN zTLNzwh1YYUtxV9`Ws3v;1@GAU=-ijn%iq}jbGBB;Cj~VpPrj58oyaH9rEIoFDvUA6 z;;s7BRO`;%jH8E-o_X%Yx8Ar?Sk~I%obt{6t9Sa2cLL~T$sG*8H|~SzeW-YtEB>*x z_&Lq;9^MD-K3e>|b|k-O%HkK(;yz&fq$}<<25i5+iHdt&;dyxOp@ppjoDyA?ZSL|` zZ)JzCy4zpf$Hu2vfh)iTceH>N7p+Lmh&_Dr(1njKmo&H6b~!5=`->~P ziYhva;d}+4MSGd8y}Y)))CMXj6mo^gVpJwt^r?yFtTau6MI5bR zE5%}?N*!m6NwpY~VzdbcwN(pH!P5y4FiuM-QGEQ9Tnt%B=fw!5i3)DKm>$m~Sy)sf zLRZn4uvZA61%szWgc`a;O_%E!>KL9bPO6HNvy6f$1@lQMlcMGeqGbxJQkkSwrYV%E za%G%U5iOQ!`64xor=SUSh$c~F$<5Q35b&^CDD-apDJSB@Ip)+|DIzph+a0n%e zMT+2(BLtL42{lqm$I9t=IYJCiR-mqsGw?DxPDaDZAT1&lG&orSMZt*DGT=;w9>Exy z=uHqdJ{EOF9G{TD!=XD&amjoMjB3*3_Rj8q}UAb2wym>}zDXh8nUQ<;#Y>+Qwco7l$*=Azv~?8KwH4V~ifv6LwzjY<>Yyu1 z>+B_U1I6{dMGalWja?;8XwV&|z!l|Pf~%nor_PO_e_TSd>d zqQ&NIk*z_eF90o^o3yBIcUQD|%iH`ly@3Y%c!NEdSJ(N@jndPvU&`EnRG~M~m>e>h zhQ|_ck&*a_CkYYTND+@yG27_)?M&hh7A1;9$BOtgolX{?Y)wpw1FkUenIpO~pC~O^hwszDN z;guC3R}|UWN*X%Ln|t7{*iKhXy9>Ia2`I&0RzFZ`>$_gu_}GREjKF!dI3|#B#X%e5eX+G;zUHI zjw_8*YBG$XR5de2LQddOO>DY`j!4OfjLei#*ite_gy#sbd@)|GXY1o-x@3*eA}1R} zIJJPL6>@Z9fk7gS5es5PqF9mCBvu$Ca-Be=VsT{@p@yN26Irvg@wtZB47D*yp)v`D z3MRrKQ5iTo9Y?2NnG_tCiWAZCQeX)NPQ}0|5uB0%T_HzEa+DTwgdhX1VBlnQ)D^TS z1wB&5hytiUcY>hHHJLboiWnB$2@-OJl}Cu<;o^CiL>@K~&_aMu5#mz;CnWeZG~ggz zibetmflG&w2q#m9&yZo$Wf<_7B_rfWDY+7AhKQWZC&Y0G1~xR0ltq;Y1yY4ltWtBu zGA5VDWU;s`x{yhh0K0`l5yG{a96k?(#pfY>K1V170FlR9(~g`td-0QkPsHSI1rm0TEaZega&qY&C$I{QlvyYnD*;91(&`w3LE zgWR*M;(@66apj7?2^HaA3d-vV^G~W|k z0InFCfwb^XtOHjJ16_=+4vnt)MsImW*Ee0^3ZkwUUhw)CeV)aU(Ys^wznfhDi!-?1 z(&I0wY<&6LiG>wCEgK z>>pX`4XpGBSKzIju{HbX%HYV#!0>Ya@KPU|fsy5b;HqnUeQ55^_|g}nbGPiCU~6m7 zwQDzy9X_g-OZjwSw1}3aW$uaQ?9_9!b({<>H$}}$Qt>S^u0hC>vk?i4E@m--E+lN0 zgu{|@SVGhll!zT72F#Vf%0zT%m!fD=WhGh$JeW#KJ{v9VvZ7#Fn+b28-OP2HV|0oAD$f?nsY#WEte4A(L z7amdjKO-*CSC@dM3Bd2j?G_IJ;5fFGn zqD0M7nj|W#QWUFTnG|%R4ADzi8n}^?s~7NN1VWQgW)iDnBuaxwtY&j%RGxw+H*j@U zsWDEjiz5sZ{6q|JD=`(MA zn0KwDp{S;_y2)NxRQ>LS*UlcvKAB~BHePUCPdZ^F0au(&U_WhU=W1D236hhT@a!{Z z-@07-;m!IR6|H4xPu`-s_JUfpc!jO2)Ye;C*AGNdUOxypTGr54+R$6t0AAJ&UI`A$ z8v9UG^rOXF9(4Po4GoG4G=DQHeu*p4vc2sad&gj%y+ODQtsUO}2%xt@0sW`QgEJafJ1ltqtsrgzI;xrgN;s91O)DmGp5Gf@$CMF6_OHM-#n zIA4L@2N}EN9KYonUj-w+H!$rPnsWJO?Cx3D$jZ?Czm9$O-C%I8ysY}t3(yrOVkC!o zJ9e=n()r|g5$EaMyRTo%a|h-}X6_8n+#Ld$x;+F@0he?5f@|L3I$Xtpx&plq0=^ia zmj&O@g5S3g7{5Kf@b%RCpBy8LO&yN>qKb2;Pp4Z9BGNV~HA2C_YI(Huc+0V4&%Ac= zBk<1bA6}Wh{nyd?Z~bF;U4FQG0FZDxREW@oXz!ekg zBXgfkul{yy_EztJx3aSCowwiFw`-R|#OKlQdOjsZ#mv^RGc@cpH9JMcPF8V~RJ=Gj zH%83X@({FR2m=5^2Et*22oV~aM4)0K1qdxht;kM^fAyu8ZH-;C>%X5~|HIJC=L4|O z>Js>_f9wiJ5atJ01ecxQ>kqkNcz$U5_RQ+nE1!MW?HIdSQ2X53w{p_<7{00?Ha&w@=+37+dWNEc6Ybr87qE*?s)L$%?<# z6@UL)i(g=jjR03XlomfW#-nHv>W;cK8?D$MwnOBB`3KR$ze$UbF79&$T-=2wv@aFz z6A8P*1rnwO+@|WQ>lvx*9joshZR`tFwmM#W?|ROG;|jeQ;RqrkFu(cLuOqiVLB>Te zNKrKW4hjY?tDxeaWRM~eDvpJaI2@W-!qpp835k~EM2p3sG)mau&35eYo;Tll^J-Ck zUUhXzOIvAcS7AeEesy~uphb08VQo)IT~B#KcTF>NMOj@(VNH8Mbvr;s5u^p2vdF7y zDyV4z7oKH}UFb~^M}4=)23_H*Y;=GDqSV%3T+@5Cp#IWFMK4|W@TCivUwZTXm*09X z+;_|&Qr^{DhXF5l0?hZacV<~UX!4dS;V3kE=$cIOG$VE zo-RkYdXdm9XPSj1GaGAS5Og%Ml1i6R*b0U~#TKhLLK%}Urt?KKp`0aB@kKhZFj^su z)$lDEj#19i2w5r~N6!bY5XXuX7Kzp>Rhz^TEr%!rDeyPj~#yI{OecWxl(bxw7Ifn z0QQcl1MfFj`J~9!RRUen7ji{;J**`QtIMM8_Dbu!${Kpg8~adHz&vE8B7};;UyO>s z*%hI-VvrLsZG$5nXbHa1c?NDS8yJR7((M6s=Q}tNg^PH1hBt;x^|)sGJ@bE)D+V^p zX+CJV=05}#Aie1S%W5v3J$EiQ{n=>o0nWBu=Jpg0!NO-A+qv`FCpVqLv%nRwA;{e4Bhz<) zEBt{)KP>LF>J5Zk0jDh7W2>GqxW2*{T=0*~`-f%&6KfL-Urw+8&M`FI(9(V5X8xHI zPp8Bv1^CA#r0oh?l#WZyN{Bmg{JBf-U$3a|cLZ+F-1(2u`9F9^Keu~V>_b2itAk-w ztUAKCKUQE%j&N3Cf~)TF_2As+b8BCZ&#bq14&1n&fBwwb%#Oqe!bngs z<79|M!mvn?csVOk$xTpjtx}Fz%!(E=^*n}#OILB|3IGfaB0^{!3W-L*@tAatQkGzi zeg1`Wm31An>%W`1^~d4aFG7j{u5bghZMXtO#fo!u75wl+vu{TuJ~zMY&Krsl1>-MJ+Aowk`}F@ z&FoudEgp!9aJ`H0eGqrZ6`?eCyIcE);aSKrUEl64v-Ny@z4GbjUXHP(B5Wa*ijZ&w zLSzInYC9S8I0Xdz1O>Z|g4;pHN05k7WD1_aqOk=WkzArRXslLKLY&DOt%^|#(i4m? zym0b*VSYtpb6ImsaZ6iaQ+r-L-0pD`7RBl*v<;NNY3Cl)6&>Yu9mUn{MOE!ZU=*mm z-xcLe-BqpqwH=NIaIWs~)S#|_v)Q$Mg;m{G^6TFIpy0(fK6nwj;_}OHzaMgi)FP9{ zDx_wW)T9v^ReY_2qm;50Vy29bNVy_|RF|lU&5nu5(CJf@nnbCJQ9sXAkzsHDxO9qAXGdP2FsyF2^d%z zo2V5~G+d$*n1LKAB}K}}7&!$mqu|68tbh_Fq(+J97%764f)^lI5CsFHWWXJ!8i)$4 zo`o~8anWp8uma9hpsuj6u~yU-@myRy51Rm7A;2aHvB@G_3OZQ8W<44No3 zKOAR>F*#!VZV73Zh@1|r!o(R7f)1SMgnWryA=MeA<~Wflfuqthgi^^Yf%*8j}&A(RMP}}CHZ0;{c zd#2}Aw-?lQ72AMg`%3Hjfh#KN2Pzx-D;mOWe1R*<8+y=X75!+L+5VqGh5eVI;upFC zb_xim6A;1~>~X__!0pZvSSD+5xWh5hjO1 zKExFZe-A1i<%-dD@91sM_-*&(ZTG~QcWlWYob!#$dWPnl-UV-PePrRQ@h`r&k1mv# z*Iqn({%mggaf5I#^Ix(Uk0${G8LFwnpn6yv;LLc7p!Y&zWT|>r=B{Hq!;rr|0E*( zi-HoN<4|)G6V9A`;iHcWYnz>((a&e^{6C}fe{zq0+3#5!99pvn*Bs-k&T({c#b_ui z;e+6s6YfKS8)<p*f0sT>(pNcqdm!7w%52d^zBou5KB) za--_p$rtxn63ujmg+aA2NeKe#F01~T13NFg@=|4K&9Hmw*4iJY=D+ez-t7aZ2(I)7 zmV1F}&{Z6+AJO8+8;E{^EB=#cftKt18Ls#VTA78@=7U~-ZKfO`)(#!8=X6_g8B@-xYCQB?9sa0yd)@(Ay#Tu+8Rjg6EGbiD~ z+i%!f+B)nWTX$bkbKA}O=IeDW*K1pD)O6(6^%m7TN*e9uP2dC$T~T4{D5>r!sp=@M zX)msAhkHP3!mcQ(@2F_*fu%t^9N@dCzto!dS zu}Lg7%VlPj$SCJ(q%66JDH9+v9wOri^dhBIZb;P_Qq_hul|Dr-HS<|&I$1=dN@#Q` zlP=?sl?Yx#P!qhQkt2s7wNxiX#%SBm$O7#4*SO76s1*m-95N z7{Mvo1Ram0PF|dazI$6Prva+#p99#mIkif$y@NnVD3Wy3^su+)=f&^TV2}6KuGT|K%6cS>P zsLf=c$rNL9#rQoU;%*@+gGY>K;bYh&qmZLh$aKc&n4~mI?g8tbBc{wbnBDu1zw+iMAK$PQRdv?^S5&uO z`}o@1=g*u!lyf3gdq_t)swah9aniy(pr>cZ$=N2=-mKiiPn~<|!j(_*ZFL>4>Q;M6 zeb0@mw!CWCGqwv#)(BEMn?sSfHI)~dGLv40Hcm&5?u0XeYw8t~n>qW1C zTxe@%7)XmAH(ar~iHg2^3Gu)@!WEmVDegnX0|)^(Ts$B?ba90@2&+Y*>o%9%uv_{q z@7Qh61aJl1p9lth|LB}QFy|efcl#H?-v*Yxn)u@T!O?}Xvf8)Ko_jt!?J2!r5AvG~ z>SOVYsAv}TP*&EJ53kw%)5FuZ19P8`E&etz``OUMsuzrp0U(nVAE3+FEzdZNcYNJ9 zzUqgxSn!R`dV|w}>7|LKJG1LwI=mxw^$piP{_ym%{V95h2>UB3;c+=>hYlg_PE2^| z)VUj}ZmXmn!;oE{lna{*ew zf}+dr(be&}&z9D|9-myUscC%umDl&>=EUlNCh!dGHXa2lWm6SAhLTHHa;O>}%_v}) z#Z0S&1w@e`XU9uf7BONH&;dlWJO<&~mF>-qkGUMbayowPcKycdeSBz$FgMTt^0)fG z{tv^y{a@O@{D2^oBojct22#*6lIzpYBVXv)8{`D)}cYiVc+y8C&>;KSv|L;oh zLH_ht1^Ng+pgNTA9+W>lGWWh%_4D(`zx?7Te{TN#i=+6%_nVPFGUyBb^watMPek^+ z@BYU85&Td88TkW<bTpf={RX!}rSHeJ}X@E5`CI{M6i&Bcs1|dj6?@@Sg|m zzjoLkbArdgU)%eCZSQ-`Irtm5<2P>SuU(FRcG&+hUwy4#yLH4L_!PLp)>%;BU)<;_YjUDBlRGLK z+bili%WJyIYPw2mJB#bu3vF#7R{&s?G<1esQP=4VxuUk!RRvsO8z`#o$t&;p=tj+3 z@8_L+?fvs_!1;<--u@uu3bvLZF!H2ki84+tj+SxMB8HU5kZ}J#;RJ&&%W(KR%hj>8YcBo5KS zqsGdGW`iy+F(qsN(F12*J@)E5N6x)===9m02M@(s%n~kxLyi*Aa1w+h1+L(6gaVO3 zDCP?V0wIUTW3kyx1_M#5^f|kZo`3bj%U7!k$~$UXJ>|8X*FVjF_x0CaIllk7%$P$4 z`cVVrWGwxB0{fH&Ic%WiD#^Lg@|`IuyY?JE^Wr;KZd5mRdTQI8rS*L`s@iW>cjni2 z6+&0^mcstLeH9QD12qi;Rq&5JWwtKx2wf2_(;a@S+FVv~4=U^rL`A4IPkk5M(+z9s zcmFI@{G=;d&{E#beZJ;CZ&RH#RUd+3%kU z)e!D+PjsQv7hTTDZqL+)D`x+JuJ{G0fUbZ+Yf_CbIwzN0lgploHUIc+-}oKx#GQ~U ze9#s1_qk&Hi$4zp=Sxa!F1+xP zic!i0R6G;+B!`R>fO8L`Rkq&Bx}Ng7 zu9EtWB3pad6}Gn0hR({C-Wt>uumK9{is~k3nXSL5vioLf+XtUkzxm$H^RHii@m^QZ zWCX4bk(x!?B#p!*WvO`-5tAlmF_m1lhR@cpS!xDbO%t2Anj~p-x>}Pcm6?SC9fz%8 z(M1e0pH36g=}J0HMa7GW+qu}sIaq>($yUo0=9t*@%*=g9at|JlOUcpb%u2OBJ|S_} z-rU{$b7Rw@MbSLE3icTxs_--&Nnqk=<7FDNgfB%%bS$0_LBL0m@K_oF&mxoH=Rs&v zCPmI7D_A5Y0z`p9gPMVk1Fn#eq9o)f2^B>J5+!3`6$lRQ5J9jim`ztiY8a6^BvQwS z)H5QCjEEQ{!pw~Pf7!dQsJ7BHU-)<5IWs-eJzZ5cAe3{?IT1w8Iop6E&e=HI*al-8 zW58f?P9jJIAt5qCh@5kBsB)$5o}QkWKIdF~^Id%JmN3RHSJ~Y?7jxE{wf<`_mAo-3 zBeZ|}4bKBy;Z1e)r6c^ANPlZz4}X?p02?02K?FftN>Nr(U_iq8=m@^G{*}!Y02OQy z2U{Ria2&$9Ah2i-JdTZsVWGmA=l}-Bn?v-G34J}?!y;pjoV#-6(erzSHTRyE-ODMs zbUP(7I!Xd0fq^mca1Ig0qY`*bI+x4iaQSR5m&0Q)m{badgu~+mLTPAt!nsSSsgKKY zi?x-_{opN;n^*Gie(H_WN6$ogCAyLiIpa>c6EFEt&U%oJIOF$8Fwsuja4(PGpx6^< zu0PHyYib{?ZRsyjcji>K-A;z`f{}axS~egRaM_vUZ*du)xC3t z#+tVe04gfqy5cP=wq5Z7D(bDM*sdF+8&rdQ1}c8p6-~zNzGDsgfrgI0dR;e2gTA}5 zv%9IQN7L1-?dfmr8))k{wGRyG2S+-G$Gbe|n{VW^Hh4(>(cNX!0ev;_tY^47p;#WLX?AFPkQ|MwY(^ zuILGT9m{~DRE)7gB^i9l}=awgcE7o53^_v@N>YhJ* zn0)v^l(S5ZvXdeAis4_%(Dv~@9``R?t|_YOXzv}KT%Fzg{ovfI4$E>=-*gKw+wi<` zWTA6t&R~LCZv$HNfqxw6|9aKda;wL@WE`9a|Ayl;o6D=;jE&9~Juf+VD9K;ts^qfS zI0O}LM@1nhI2?^gWK+m|8bwGW3#bGk2`46FWi-6ARTpl2s+W-AA!G<*!~grr^56OI zWYso5Q@0m3c9m&{Dw+q%8VrSX%_a4k^7{4~b!WBOPysE`Z!3hhhcxF^H9@XuXs^^5 zs$04sSF}T}sMYjWH};j*bQYAi=M*-lKdsnt#g$#IAWJX|C7G*Yi9Cf&C5s>+BN$j5 zAHaaYa^^6U47!{`lM%VDbcr`l86cMX3Z7#^$ze4jE)YEjt%h&auK+(s7gFhfr0vr z$k22Jk*8#EB{T{Phrz>;Xgdtr0grJcVUct^hE2rrNO%DmCj_)0p#=nlb<-$Jh<6kb zpg?7>urL7*#wWl8&`1S@3JDpC6pEva1e1~+tf;V)6YUg4aQkNGM6z=x*{R5O?qqvU zih~c$(T|A;WTOJv$UqiUEi;G>RjYvNUvW`kJajl869J(D9SN1zM22(WVH`)0P&Uk# zFb-aC+J^3`dgHb$)E!VubWLZu z<}EF(`4}o7SJbq3?v!)B22I$gNsp%+h zYAtKjlr%JzHa1l>Ybv$cs+QL3*0!3qcD24!)797BZ|)czHJB!h=4pdzO4mQp)-%@L zH=*mF)|<9n(fQZ9!d3$7^HE_MU;S9DwAgmVa{tWAz|5M->I(DZOA}P2acf}mtt&=> zE0zX^S4|1kjd55N^tEHcI~Ano2GUC-#? znh#nAK%;0o{^O_OWjl?*_uI~Kdf7R+-S(`#R^y!>%s zaI~Si{#ojSO9u}`xhND^xC~`4M(mMd9QOOT-@9@(>l~R{n1A`5W#vWp%!+Po z&N#8yH?=Z2y*4nlIxw+3FurV>Tm`DJOm7TNZJ2>!pl`Q2Ft$82zA`bpvAFzl$TXe< zwPKHRmq_I-2A_aoV-QRnhEBjUNF)~7x|5Vj=8_0(0+vg}3Me=UjUZ=|l^m)wpW(!3 zaH7L(pR4~kIYA5$B!mYMB7zB#A?{a`&(t;KFKm{rzbRe)rg-J+!o^ql3or6!H}mGU z^5{~~{33w+gckoonzxwXQ@twNI-=3oBxnR{VN!B3JuyY)ey&u;#5@@D?3OmBRcnRO_$AIr?z2g#jY zwdL8=d&!wv&7N8T$$A^;@#Hd;36LdQvVS4tJ6X)K=IPjn$sAn(c``EpHglho49l!7 zkB4U-4^M++SY|+Mk3k-pr$8PKO}UY-c7}Oh&V@_7pgl zN1)4@e0Kp)#pSrL*v@pmiY@ZsO1%VfZ?Th)%*9vX{Q~wMJaGQ{@vEu(j-C$+kN5Qp3l0j22nz}e^YIE$O1-!oH!8!0 zNO8iEWKh)$5*tgRq46Xn77xSX90+(v3K32xp_n8zxYY8&{0ByL?I(1WMsG;3QSINkQ429P~l9pb0OKel5K+(_Fhz& zFWnI;-_1bx$L7Qne1aqPoHA3bnDK&QMz0QP!Xbt|)uo6_p#j0uYrDgTU@i+h0Ilfd_T7B)@xf5aj2jt9X!aoI~f8&PPE5V|od;{*M zq_=ii`o~v>=UxC;j00CpL#`NtT(Lf4b%hBU4|y>#u`xKlI%sVN)-|%Iw=A0HUM_6? z?#1{2W;Rc&s~Vo%xqm+4K%|S45|4%!SRw5tSjT-nZg?lWX5htbRSY@_J(B)zmV`>&c~86ALfL=C(%XHoK&J?q z6cL*SLXQl!eXjm?uusUL2v{U81J9;m!^46eJb4P<14A?G!?T+s^FUJ@;Gf0XDjlj8 z0+j1%+b+2|y4*Xq)Hk-+JG#&_IzKqMIx@F4vGn!e#Cqr8e6wyi zCp9ZMYF`4I70Vz*(BKgq_~}TWv|CroDl6L!eIt|Wi|hY9I`_J7Y{_7rF^(+ujIZ@g zLbb^HcP+*IEAnpj=1=lD%Q*k`Rh=JM*a@{yo$E4xJjS8f5At&bE;Z#^@1M)tHJs2g&fRG?m~2Pewh`NZf|FaU z8`i+LYv~-(=q&Y({h3+SmoBF##Gefd-0$h+D`QL87$V_|F9^T+l@#L`D4^|g6Cd=J z9}93j?C%n(l6Z+&DgoQiSsCu<8{+Hhu8;`XB&mcM8Xa)r>ghY#kFv`vsx_VJw!W%n z!~gt`|FFIPa~oQpH+2*@16K@`HTM@cb{5vR7uUA|SJbHWRcf0nI*RJ8Ll!mKqB>~N zX0_H>+tLlW0(^$I^wny5tDAaDYV^4!nkTunsZUC7rsiC__3-lT2bWXQl2f+pSBSki zJQb7SM5Rbc7%tY42LF<<7sJIdl`M&mMC>gVc?gB>JfRy;sNxD#T!oj!&EMH4#KR}p z!#Bt~AjBsuDj;@$X!QPImjD;46WftbCP1}oofQGWp@&W!yPkF-HRtGsJFy2&g+;`N zg@%U)`Ud&Cdilwn`~+ej7T<%$awSouSR4Zm$Jjd}_9D^tz!gNIBbAI`(hzJqibF;7 zC>TB&!zTh%fLDiRV^B;af`x>$kuWaGfsca$QOKzX85J6!5CdQk9c3hl6ACgyPDVhx zO398&l7n^n!_LVX8!Di|3W~ia)d9G|kKq`|LIiVAAR*SCq@lJ--5guTQuH<|px9i2 z4Ceq^Ai}J=00F1~*ofkyqIqcRP7p*S8y*EBz{ZHl(K1$$oaZAK`+0iCB^*9=?f%tA z1$VMb(wfGFt)LXaCAB;@!<|L>{M^vN}D&k2HH%J$Wu8dG80l;8F z+<}z4kH7%mKp?++sk))7Ol>Tz?<}Y{a${fu+}ba1yJBRy-?BD1^~$pLyYX-T-7v9KSXO=Q{J9h1 z0SA=qSmKvKnBTf%>?Igfq__XwTMx8`pn+L>AMamgq_rQ^uf+0J&)t zXrCFG!XT2UI6M)HC1Pwkzj( z!~N8PGbe6Dha|X5-GxLt@t=N+|NH-;z&J)qm`8o&C;gRY0$ol9C==Ypp)z)mgcG4s z?)USK^6~PN@_BTOSWJ)DAATwAW_oGCv+BC?#*XSHV`W3fjw|w;+Y6fY#hUIiOgWOTv77Zg4kaP-~Nky`02o4Rwr671@s8kf6hz73U<1suenu9@e&`9u-Ay;5w z5G3BNW4*@yuzvn_wQXyic9nt zCb-iMsmMvrgcGjB({7}59+X3_%rGU-O)B0O8GG~kz0&fg@)})feP?k)Phmq>L4)DB zT2}zxRO+@8bz6BuM^!`TTUQv%>I|g~hSFw3sn$@YHI!?&QSotCwDwrjThrQCYwhLt z3$FMnCq6*MCtT4z(%L_&GmSNO4U{*x<&;-F%*#)Cl6f`t{A;y*SC~f^OjcKztge{&_RpP@D}@!c zH!fa06&ZZkiMNlkHw617aD^C+jPUZkedB&(dwYI6GS$s3S_QT@lkL~(_oXq_5NoNwkeTB1&l0j24 zs7eOenN5xIbvtupf9jp&=g*(iHdnXxb!hr@>fZLcUR^_Pm!@wJIIzPsX0%N9j7|5A z&kjz`nI^$q|J=aDtZ8a~Y;kRN{ngyYtMR#I^XOzlqc-_svYXO{fhP*6GzFXG#AVA^ z3=xASpi}vD8jnur&}a+_g-Rq+NhAi9%3?4%OeTi~!r-wOw5aX%61t3I|@lMX@)N>}@~`$={Vy5_;mlqbLy2RY0HHZhKk+$TbxkMntDtfzaE%a?i!x%9bFs%dI3Mv@eS~ecJ`2dG@nI_pX76l@t2b0vjsB$3#j-c zEw+JSn(i=7x7)I7)S`X&sD-u0h3@^vBKp4f(gEcYtx9)F}qe!g-v?v9a08Qr( zD(YL_xuUpQmtEM9mRXkaDF1qD*5#Ckmr@{CTuQn3cDzE!a%K=kcmxxU;vms{EKWoq z%c*o{CdZ8@a2JWaWO8q%%u6BjP{`dCP9DxGFINw5H*Y@={{ZixV88H)pqQAjsMs)- zzZ=s@fECke3L)Rs$;Ce)^x)CMSMQvg62@+T#6%?4C9d;c|b<|=zfEiYDAVMKmAVMHoAZ!8we;Nf)0Rvv}}`rMY0$S7ZiUODofJAy-^WO}+K-!TqevjDoz!&!44bKTXMal%A85Ra{a~UH8@%GmtBWW^~XE z(M-oXSIl>QatlDB_!+RN;Sl=D%ldCpY^iM*YLHedw2PVP2 z^QLKh%jOCbw4!p^JPus3_|6sUzn}c>e|Jr<6<4WmC0{uk6Moc17*BNw#qM!OJBW~o zFc0sW*Y4K0^mGo*4gpuJe?PJO^~lVI30xn?fh*QVX12`ME?|A*>jU7$Os-p|)f%Wq868{Ouag3`L=M-T5i zd;a*9+sU^d-o2iF=kkMF7a!bCPEWh`DC1T}?t|RI%#w=d)paEe%{49U4IQ0Lon4x) z9^HVce{yD{MSB4Q75mh>aH7&f$vsj-343^v8uyGE1N3RAy!roj!gk z&?8t#<*?9L%APNodw%1^z#ecHUI=r&5bSh5Pm5ZmByPuzDV1Qp}NKj;CSVUx)tDigDNkot^nF^7})ydV@FC_8Mfy>vA-AOxm z<$B!NbD@V1xCeWSm0TtdN8@A3LNtzxKoa-bJO0LQ&u?IRzeL*E;o%4d0V`rqBy6&f zf#m^IknFicJ1)WAx^)!lRVpT7B^11bN|KQ90vwu$afDofw`~joz;J-tmE!DWcn1Xm zrX*TXL9&(XhN2=nx{)0{$S@Bo%*z@dnj=63)MbqI&J|(1W;b?Cb0Bwg5oY6uZ4JiT zgtFhQ#E67~isT|Ac?j?zN`MI$U;{XK4;H~g$cqdLKALp)()G0KsX6zu${*xaJEWrRJi#C#2!dWzVR?OSKV5y zF%&km71U@RWo9OyJ8~#onc%}tbfp}S;f^VRD=5jnj3jqvq>}9>Vn+rBo;!IV<56C2 zejSi!Ws9jy+gH@o`CQ#rpl&Tvx0I+`cDbUvQr%sqHkLMa0=<-IJ4&_sa;@QWTv2C5 z#b4@*4^Z)0t{5C|>>MaLc(?-*o_M4dSNxgx;48| zv0=@QE7o_r;_W_DaPo%D6;P%&%o8iaEL0v_V-dHu@mnr5SZa2g0iJex|Fak;=SVh)SP zqVd=?5uYs+@nvFxM93HNc|ty4EEGybVwqT?luDds5|vCMO4x7vT(vWs{H1&^KGT&+ zl#|fmo^HvPE*4bQXpB7rW7D(iFDI8aO%sbo(`1)vs>eJB;bGWTn0?VU?FAKYAF_^S zSitjh-9s~7rs+P*0@QzYVxxO_xvghTtsTy~n{_oJ_ArNeh(|ggKp&E0FU0%ZO}U(1 zQLZ-h^iQo$Z~g(|-0Yfpd>;DofiDL?zR@+)XSm|O8ZCaQ?iR@KLf7!8UGa$tkq=y9 z`pATc&gP0;v@pEQPlhZ$LW`ekFYo5)xHOWwVB2O!pmRdl+db2RSa6Ww?RM(OP!1}LhY9ClY&%Dy1jr}>Dq4Vw1#QEgASMO$}WR^a7R-N&zB0IO_-rWa@`{I=%A(Mn>QHg9iiOr<2 znSd4yCWA(!5Xl4#lSY$>o!mV_;}Xv#-_Ojc(-gJni<)#r>b8t$x!019AB}ZA;LlBT zqa{eOM-=$eD)MD-T9O+hQo(c=vLgI^PaZjO?@q?k?DE3Owwm_gikAN3rp`QdYkqx8 zVSP(+y|!H4Ue#dOaYebhyR;ElS6{5vm1y<0sgR2IY4L$8YJbrcjW$&1KaGmdaK)Hz zaH82bSk}~@U0VGpuP8O^*`3E3>Cc|!Rg_g~8cWr6&&o<3=H_HPf1XoPnqOI4rD@l8 znIKmT&*@FGZ(T8G7@9Y{kBX0u?tT;%yX!6g^jffUy?Bd??YtGm2U&+^Lnc-SCzl5x zRP4B7b7*1|Pbho)3owsXVS;zE$1S*)cE$xnkposg*aQvzy>AF^?}>pz(@LU7;jHFi$MDg)fmvos=#fDi2>z7Y`S?i(H}* zOPytMS0}m3MeL&FDdcRqjHPg5IjOiRPnmz9TSR0)e0=n=q(c|ZoxGlW>ejV0DK{>s z-%l&ZeO_N%+|-y|R`wt}=lr$n!Qqi?4iAgQF-R04lP!ii|1zPDIZP^-!w~X0VgXkq z-~eNY1sth>D;M&VBEB=!-H7i7URr$Iwkw8A{t|%~pXE#^OYrDmHzJEK0pG5z$9;tsFEi|1rTG&J}vfC9J7doBN@Kb9LI%I`FX%Tw$=f z0-V!XrR}b3>w`*(LOV?RYPCH(t|+W%eVkKy^M20tdrz<3e{%KyqvU(Q756UOzGHI* zS0&=Agj_d1$BoBQaR4f4E_8;9#dhcOJVhceh0I%}1gP*2@D2>|4~Ym24i63v3k?bl z2?z@I^AGk1t_X>YjE;Qiz~hHi@sW}+ zZ@#yTsiaedI3gc|VWZJBBpQprIv@ykND3Uq#Gtu&ET4!IlJVAH1the9gtB%JgNrC| z2?Zgep`=uVhy)W5>;!mw5gsPSBgA-=7>5?)u;AlDiigW^4hjerFsN542+`363e1J* z;7W2(k!)44V4hHcO$RTk!zW!4!nTHGjdi{w#JXD~h>fsqM}@+KLyw^+kYcq#U<9DB-@c*&ERq@qPC=$=AGxVL9g!lCQQcOPXG z7F4vioeAbKZ6R} zj!WyNOTYUYKWIfUE!T)T(7-+ZBDoD}$3SZLa8@+o-J9q~5-L zIU)AAyDXjx55nwmMcQ#;4goH1$ro=_Ht2QzlfV@-n?Fvkemgd|H9WpFJh5V#S|6F& zvdnCmXSRl>x5gL0o?HKZ_0=Cn=Qa$cvD$XSgJ;i=UAX8Q5$@{iBXV(Kh_#Bo{$P-KW5;;pCp>hO7CLhbpyc3$K3o=dCxtU)ua;a(;7W>DBz&x650(J+t!t?Ajm9Q(qfQtLnC~r}wk3gvTCaQ4g?j ziCp+W8T!hhkc=ny%G+ABgO_6X)XanX6MbC3HPbW7-#^OF-(4u;V$kHTzT~4ETqu|TJ~>{+KO3yP7VUZ|OnxRn zc*2Kw+*@?aOPb&+4CGK0XoLvmsASFeJZ;mKn#|?;-pa;~nmS#5oqop^ zKoq66Rrk$?^5$+JiV}^vqxvpWiyMvLqrO68tZwP4Zy$hOt!_{a zT%qZ)266?sYCOy?zkWCC>fI+-?>*k-ird@!Or61RnoJhpBi=H ziNwBgsjrLN$3yAk;}IC@9~vDN6(1S3KRRlEY~;SkkccqmsJQ63gz)|Q zf)k?y;===@f&znlgM$3R;-aFC9|=Ew%q=lm5bjO)mDAmMR3{3!Tfp(LNG2LdMq@Ep zk^_+rBXQA05s4t75JV)LZE>c6fE5B`kZ>Y01{$WIA!RhAf(ed}LgH6E?5}y4-->W{ zQUXdwz)EmfF@_+);p8}^0`KTVfV~^0fJEWwN^o!`*t-(#RYZF?lD#{$xWe9(YVSq0 z_n|rX(qSKU1%wI?JeX|_Ygepe6o3;@`7Gvk0-%oS*3PFKR1g;(%)^EWv5{g-j1&_i zLB)!YF??hM9}~pI2TRzozTSu851cx4<H`0qzvuiT*>Yf)jWIV|~b@E(*w>P-$ z5^(4&DxN{Zu^1FChs|cQps5ftj!q?W*g~O5e{``s=A^UU1^KHqP6Q;Y1y5W zi>D9!9SxHl@MP|nU=B(#CtU~^+{s5>sgZJ;myjOnp*k47@BHbjscAXS%QOv!@tXFb z5{)rW-I8CgEv(lR*Eg5dw^pk4HC9(tHS|<8Zo8sDt1HrW6ho^lI&HN0TU^oj8L0TA zE7}Lf^+VIzp5dw%LtbTLc4^hqqOy$VMfp`V4LV)du(_?br%KcOtgJMmA?hiz}?=cKxP;aYjUuDx#pa>dr~X4bwNpMPNicjyzVBhwqe6(is;pL=PU zeL1uG-O8(fe)Yqjhb9)PwQXtHPY<3x;q2p%qT+EZGJ!`Y37I%P6TxA?*i0msixCR& zVlkG-Lo=C3Dh)?xQ(1f(OGKpdFnAUmP5%l_`3E%Nf1)vehsFL1hy4u^x0g;ta;PXC zbuS(Fk0kg%kl-*bg{%~ER8Cx#lIQBgmPv>#779y1AkYLXo<<}CO%NzlG?|R1knmIz znMz{N$s870$R^7;Bn5}$!Xc?RL=}?&;=v}#Vz%p7*aKGx#qMmbltf`6(VhyYQ^!wa z=RemPIwu#GfB4g%zx%_#zx?(O%NyUWzxv&aZ~x_+-~I2efB0W7-~6ww*Z;ox>R&-N zUjEDGt3PeL1o@ZM&EGGreLuJI&Em$7D=+`F`ucy3E&N~{-cYwsJiVWDB|PQ;lak27 zB(Pxzq^N60!*g;U)%O_NER%inTf?j0o9AADf7PLpDf7sJWpr(LY{NXZX`Sc#@a^$| zD}I?4ga745E&eiB{2VPl?uy;C_{&}KnY8$rD@L@PBUV>fA8)$?!UKRrQ|F-V2t6?F zc7=Hx6*`l;ZLp%=aP4YJn4hop>V}unh!P5(gK!{!`H!UE{Jj)o@5d#_IrEZyWf#Mo zuSUCE2$h}m=O6Roo$!;K@^?DmA@yUEc@BG-_FpMjcz;hp!jZ76;GJjaC>&rEUDrhTTPnl-0SYs(^HkCCQ%NtwD8e2;mI&7{eYwoJl zcGb4^HguSPg_=6R3+~_Tiu`hI`qR>@cQTXjJic=Gk<}Gxms0LtxP8m!3ZAo6;-z#7 za&eDxmj*~#Zft^#L~&x!UHNPesl?CCH6+j{Dmr9eV$8u~iAT=FCm!Fo?{I8XLR45} zcyM4?pkH)Eq6w7*x)6(HqEI9h4vQlrNDKs-izA6BL@|{hB;)x+EQnwm6*vh6E2Us$RJ4qS zlGBk=3QS1Y%fr$w1sja^l*IKrM1rKGyLzwVj28d$_3l_q12xh^8 zSdM{A#{h<-Ki$y}DtX}uo(X003I$_hzpnCBBi)!pbH@ixFVd3 zg6d-ksZpM)_{g}VqzmV+q~3UtpPEyhnO~n@()2XD4)~UtWDb_2#(~k;h|PkN9v8 z$e{6x6E1{v9@Hcib)SL~A|^+=E8@c=lMbJ|ekU`#xUt?aTCFpcX}SvQ+Y0Mji|Sj8 z)vaX>x{5}9byH_`V^>upM2qsKu9D`?Lan}7Ybb$GVJz1gE8fk6K)uFxI)gy8Xz8uB zF5RrN*00zuwy7IXTPtlgbPRrU9^`ZOneL#%>Wb0!{t3g-bW4w=ro~uL-IQHY{UpC6 zJtr@xxU{0NvBlV_Zf`5Dt$A9IpIK0tQ&g5$T3y-D23*l=S?sYa8HW}+2IlpH))^4< zLg&zeaknCVVP^SbsOYmU+Uy@)vE@Bfyc?<5fOaoVtiR3LuGmH@)`2UAXEx09tBC7kk< zAEY^ip}$bU_i%wL6t3sbTq&w*ZRs8#oZ6Uw`Oh;O-vd_+k1tv#Rz|_y_x!8L#jmH9 z-%PK5HxAuXuMUjNR;XLAbZp$k z8`mD^=2SH`7)=Al!G2v&mqy>wYV7Lh9Wa_K#=%kJz<6ihWLN)G&)`h2X|~@yH)xrI z+P#g=m`0~eqZ5{yS}zG!-%kt*^GF z1DYAJZQ}yZPurr0dX_;kfb{Rqjw_}*`lhVwE8Y*Z^VCX<9w==+<8Nv4HeEm$??r1I zvu0Ean6bU+!n`y6VWR~!A!1E4c-~-cF$C&U;di*#jg~27`R3xc!*8}C@x2;uE)4v3R9j55S{Q7ob;ET3RE8Ql=^Zh zJcI)a2~$bf5#gREE*!a=_oSdxUu7~^=)21r+A3;WYwJ7SjaM{5g#v69lB=}c725tX zjj61;ue{k<+0jimT)CHe`QG+^5Rr>g;p40darKIElLkl_u1t&wkCRXd zGB(*sB=-08ij9g&N=i6=?%2g^XD;74dg4+-;)&>}#Hfg z#AC4(G>L(xa0nzmg&?F6gj77Af)_yZAP_3V6yOS+jEa?8X(6XVy~ad%dmiR1K4y;q zYbV0NL^wwY9w{YYWCU<@loIUZ1Un_s!I=aDu22zR?sx|eyn`nm=7o3gB|7?(9RsOw zkN_IopAPq9IQlYS-Yl3e$I*`m_ZJ`nd59nm0*E4n4iBcngDLP38Z4A)AI7o^Vc7?< zV89Xp6~2Ha6j%@g7RGjnh#5wYiW6@xmB43>ikk|PHyGRn<+_$6G8($o#b2^1xdg; zP$^g@i^gIzz>xuH!Jt!FYzmw2>K%CW)a8t<(&CDiiu$g)7E@705mKQYYf9xI#Y$FyR;svh*hHQ zC~nXL+?F@%tF-!Rz?DX0wYsOWvAe9*ut_m&m-mBDhgX7x$W?C{IuBSXS!lHDt5b~wR@ztrMtLRlT%#%_*ucd$C;0Ea`Q?{ zE7kQS)m1q~h3Q#Y;F+iSMY$!Fz!fbPe3=Yy-*$R&8d~|SKs`rWoEs;vHfA%qpL>_o%2>C(f3AU z{>cOJ72n?8Pv&~&#O2%)O_O1?e{y5t^`B-pe*~@o7s}y@IAwvZ%{Qe{p=i2^59phPl+K;p<1IdJ$e z77xbcIx@H@CJ)OJ5LiMSLx836QBH;+Z<=RMVS z_ZdfKhZeq`SpVbb!Z()jRrBy1REB+Q$pkfFSs9vG{Ylog7u#&F@?HHoSL|90ymQWW z2F9$5hpk6Q7dHBSA|DQD^nGkC=qLCA{c0@snHPG^^F6i;Go1s_aXW8;q3@rzx?<{W!$E+G?Z@pPJrg^z(!zS| z-cIZL0W5Fnn$UKSX}d?Y-GCMr&93E|5Gp!{v|Z+wE~sP{)Y!CRsI6S*`7<)bv&~cSG$Xn>s3+Ix3nBm*2}#t1&i>vesN z22-OR+zj^Dwe{9$y1<=grP`2Nq)vNWaQVi=gw+7EcbI4M*6WMd?_w69F2y+;NS!tmVyHx1QZsD#HAAWbb`Pd01OcYFQVeaRGgHG zlY>yOGBR35LP-d400}ZrlSuF=EZjK=D~afj=myE`Ohd2=;PK1dP5`y^zZw|?W zL-OI10!5?{F)2cbj}~B}xyUegMyL* zO;vSwgT_);+4ks3R&w&`bBDsthR9Dl;ZHi@PN+yHyqU*6smEOiNeWb=iWlwY7aVrz z*oAwkxz&}1p(@>Am8Pe%-cX@7lr6zsMCIpaP`D<_gnvTlZ*vYfoui3vfmH)4W@$5ALQv zdX%00te_w(FZW?)=H2v%X-}R$$<2ROR8gshTrmI*4zKl?S2_olItQ0JhZb$F=rVsA z72WUEtau+4*5>BhuCNtAu!#c7=G*MJ0&rqwJCn=StPD=ALavzo+A{Oa@boL|_EPBL z0`6)pTm3(Q95B8egAV{`SS|KTb@oH8gfSOwYQ0?C2#Q6_eGdh_pdTfZNl-x?g586IDnoZDIeGTHq7=IcMb z`u@-T=Ba|xstd_iL!$O`ByRr%qu62C2$BfLkP~>$6p*! z7(6>B-<~Cav4se>0L2z!*&-}Ugab!_1diCABiqAMI0%&psWV35j8!_}os@W`3@sJI z1p)^y560%fSbP{$;J^^r(FAr>z8#snm&mjuGVDl9dkPc9VAJ?qp_DI^2_+J-NFw9% zWmKjZM;0OoJO>&z=kQjOSzb3o!eH=mSoqTgT%H z^Rn8y`g=#_EeqdHZ~W`{!gnL%>t^$UX=Gtwe4&4GabR-MG_gDc>0)_%=5j!=!#vmcsKuO+}4G4CyupL zongDz@a)?T?AyibI!!ivSdUg+K)@JyoBkPF^!+m(eSj9z?_AM4WlMX{q%{*CJZRf_ z&^_@kJ(I0HlP%qoEj{Dfo-u9Dh~_7*&>GFH-4+mS=WwHLsIh&hy=$^(XsLf>y|H!V zd9m)!{i688C!IW%L+_Q2KgO3fBH`5qi0nWbq0M?Pj7WQxHr@ksWs(I z?K}HStE}y(YqVW8E#2T2tVV0B0eEOO*ir=roM5bI2B?4;aa)#-X03_SlR(NvNH7VSX7py*fv8&BqvNqibn$bcdOp%Xv#p% zE|BHm%Yb>(;NCQZFAeEWM~1Nxv3$n_5iDMe+Aqe%iilw%lE0ATEg<;{Nq$07ppY0Y zB*X}CaeQ7$g>(&SEoIY!;oxBr<4dDn;z%8Xtc=^-gwvPJKm%L9MZr*XS~{ zb8p_heEC?+xlpH*3fyr8_LwUv$&-G}opRh2e_V+^pyEV&dH4s!9XWmTZgzQ@Zm_bg zzp}Zzs$O5A?ks~E-gTEY8_Tr%idJ2vMqk|sTw$zk>;kSRYwoE40@3#ToF#UPVyE@k zCsFY?xuS2vFgVrPJyPG+TUOteS6cfhC;!faN2!l9p62BhmY3z17H2)rd-(L}=Rk;B@qYjJ3N zZEoq!i&uY~oLXya>_|_~x^^t-g0JEvpw4U{c#H1JCCi5Pp!`^yjoiSZenh0U}UbN&+@FK`s~%40g=&CH*XS0@)eTmfM=s< zLOfeeu4JhjN#;h7yW!<3jKmosl*4!uN1hbUmm&BvBv*=LOHeE^nk~UXk)qi$ zBu9bZC{a8mMxek66$FWbB$Jb5GQ3!V5eQK{0g5X^bH!+`6vY82%MmOoj4rSvbM}&$ zc2t%FosDF2$XqT*$Q6hM0>IwjKu%{dAsZ2II?_C^#AO=cXr@T zw?R^ssF*P;v$8TPp_s(X%#u-NW@eUIWHB?DWLqrR-DYT->6th0!oK$+_QwAEPFBfo z+ikmPV56SD*Y4lB<;1C7=WBKyKeub&;T@Z|uFcOZ4WqIVewLn>g>v&u^6g8quT-4r zyD@rw{L6b^{B`Q-e@;C3er)o^-FuHlCm!AcsF(qdkACEer*FIBZCbn@zIgtlJbSO@ z+6Onb`*9oC_gccfamAb5_)yKpPgZVRzx(LMorgE?e97qI?w2EPg_$3DPZxK-^yY^~ zTfT)?%(2f8Kh*`-_cgx!;0kYgy{>pe3$HF_-p*@L{B%0K=@jtI<;b0Vy5UkVWBIex@B-8b_{50vNFP3@H}KlIzI28w7M0Is;kxMC2vq6XlB;Y4qBGYHTH zcm{Z5h#Ao67`)asT;Fq@aYf(Fc~`UzR5f&8u4zAcu4d1{v+FkRU$oHt##M z{m8N1r%w4?f!kfCNS8gy<;ijpv4qm0;b20ES*vlAXtc|e9OKGNi7v{`S-qxw$ARsK zD>m;rwSMc-^0j+%3YJ92#oL|M$jGRqg!IhxqMX7N`774tuUeCpmzo-DN(|E{B!he6 z(%6!<(b)x&NeK~=jwlBfMakU=$Djz5@E7w!{G^;<4Nm|I#fVg_SBed)HxU^W!g*In zxVRVupn?f-1tto@gneV4RV7=NuW#2 zb_oMqq5zMC6((he%h?f1b|kZDX<&qg4QLStXrT!JiO{gXr9W293|TPKCDOnsB|BQf zj)vJDRiI54Xc7lI93*GOe!*SV|pN6uW>b@1@P6DQ7Ix>Vg*S6N?szVgb6igU-$o;!Z- z{K<+-SFW|R_S_h``vp+J(CDLq+YkFeysqf~dGjFe4OaZnI$+#43G(O$xH0^ID}JEG z=sYc+F?)MWKOLQUGRn+=Jh?slWONpM$n;jE5gVU<$_e+?_8mO(6j#( zW<-`079TlvsjlrhxOIB`_5XbQ^8b7A=pR!vU(Y@G=F7+5J$d#0$ld9y4Q)G)p2#m> z?MO(HVn(4(&sFJyC2EdB$Jd}jol%GoLX;F3XaQyt7|p;He4_<~i<`Nag^9t!LFf<- z8LYxX)JBe);HpTzni8lfp$fz(P+Hvk71%3@RB+x)ItyT%^)Ov%~K&bVUOh*d9Pf_53a)ZAFSuD{lmO_hU z+C_5BXYq-?^Xl(z-U`to939GoF#%!}AcO!m@^$!pV2rCX0M!IT2nR;_s8NhlVxw7X zv`7fMlyb;TE~V9@vbxnar^fEkdpu-xgf%JFm7X4+TNG2YB00Y-E4Q#PGdnLPEZ2(U z==s?OCIuGduH|{vmoE(88M`_8=+1-h#vc7+eD1sP$roeekMB$YMn1kZ`*T=4d3n%{()Uc ze##YZP~mgMTLTxrh8Bz~M!c>VnQHgCqHXA2`_O!eg>N?yaNIt4w{vK$weOD46>a?! zy(9MrZ#`=69KTdEc<@*qIQ*GzUqsdY?mTQ3%aFtyxf<+;?PMMaGvU%_B6O~slH8$>_+;=6*aAcAk270+mQEhpt`lcx}~qGxwopR2e_iv+pwapW2CNgq|S?qhTa?V zuIRntb46u+=f%pF<7cY&9y+^W>%k4%_5)X}-@bRtzC*i?o!Ecw+`KCs9y&VAmJ;U9 z2_q6{wOhv{B`Pf;ygo}wdAg^f=ii?Ad z;$U1DQ@NN!B7GuMi6@Ai>E^ zQe+V`t}yd+%<4D`>9B@p7p&NF;M~QQkt;33SDX4P8+xuZ^j>c4XI#;8#`O88tczjT|IN@(y0p37aHg*G7tS>2E7Df~(KTqQS zvxD<5`k>#15$Yv{xkpZ%t!o*$ap&oiSO4|&#eY3|{68Mt|NFy7e|z%m`{&<$-#Rd~ z_0XZntPI5I2-0Z(8$0OFJVBsbA=ben7!d&gAecap^Yj>3k8=$KAE$+cMMT;qCa1*g z7SnDKEIngUfskctdZQ5>a7q%_HuCZ&Rs%P_GR5s4tF43Vo*6=aY@1{s9P zbOyPeR2nR5!mg&AYC22~z7ImOl!%{96QI(uHAt{l$5BIkrADaMN?}xm5=xYoBD6?H z@ibJh+Q?EE{N;K-1?;EL`6;1=3G?er|NG5b90=yYdI4e(qd0H{R}0ufu@r>A1YaOR z|13cM$c2B$(f)x4{i_gOAVEKu=>Js=|4FR-gGlpxk^1*y<-Z7I|I8QvH;(Z40_kT` zmA@KdYxIE-&Os<8MjJ`9$7G42&{U%WyxDUwK@Kh`vTF907u8o?y)`j?d;0O{+&6c= z`2ODPH{(+;CMKTTn|^W!yyA1-*B$WkN7El4qQ$e{?url6;;m2pGFN<%7R+0N*%9yI z&AT6Pg)i@*g2@k!wuZf^7=G(L_|e_XKIw|LQSn~hbH&f3h0hgUTD*3}@L0$2n75i@ z-WA{gd@AwiJ|YCg_OZV6h-nsO0lt0mr}(B6$9G zaX=~|T^^5b$+m6GFt1A?*CrX)CsG>{%xj|QBD*0C*F_&tnck_=o_f*>Z@w+0e6MfZT-J{y`O1K>yU3a!sm(_rh2m<+%{G=_f$4^S2y=w zYaOibyx!P-1EisMex%}!D;j#P*S7Xwxz)-L}13_aEMK z;`HH*7k#eKJHm{S9y-Be%WxYLOi+YD?$997B$eWECK`!R zCBhX#T*hZyAqK7hoCq~C3GoKdBFI}%5oly~8Dqk%1mXLeIEyVjf18ly6f=VrE_sk! z5#*EyI%EMhiJwin7{o4H?3DX?lmQVccBG0OrSh)wP_iQxtO&V3c#LF*GJ+yhf#E8q zs?(tgu&Def)nY;!Y?Skja+w2C$Ktwl8p$G+c}7to&MgFwMtK3D%p|2rlpu!WMPPh4 zEObMnI7FCk5a#0iER-qbO4e~>^@=b98f6d5&0V&7>#^;}s`s3_cA%p1*u{o3m#Qva zxp?rvj{KZN8k4IeY?U-rB@?I>QmsazgS09QaD|v9q z-84{frRwO(!#g&Vtxj_lQo?+kQ$Pud%;FM@c!@>4%p%G$t71(C3vEryD%!B~=(%gX zmze2~{_4iQt4)2EoBA&{16uT7ZtlC%%xJczskfHd#ipNeMe|5i>qvFm$eWptALnDP z_;slG30DjOSB&@Em;kP5>K>_S?Y&R~Tyb&Fk)ub?oVk1rJkizM-BH`p1dh*FR-UA2{T1VixvwYYzM2G?^}1rlJ6_=p_~tj5Aq#Nl z`~1P26P^Lu^Z?>)G>G%xGW(Gv|VJ$EM_ef#}? zef7=%`}pzqGtx5cV3>(D=A%saDM22dOL28VpMEwW?U>XEEE|Qhzy^L(1j9gu?+WD8vT{{Vx?h`5?!c7K3D2K zQ)>StQ~h47_!oinj}qnQ3ay_S@z>~C8bhEKlOaY7r(6^jOXxF<%0iWCfQ-#&_}-V^JRE-8 z6~4S48~or#B%g4_&!ojCW=1~7jLtVh7QH$os@s_=&9`0QLj_Y@!IW+?uBdM9t7_@3Z0Z4zwQU2;ZXjLP8+vZM7R9Zm{#&n0 zEN)b{^j)lOJ$=6R@QF*i51iS&<1lc=x~+THY}vha|B?M?Do$2a&-cZ0gz3XQc&v*` zcHjvXeJrVq!iOhw!kXA0%OFmPJ{shZ| z4H`Lx7(7Ni(M)F9$Xqj&Pe_Y#ekma>qf})kZ4M<(Cb`kZpm3Dqgal5lI2IA5W8gd^ z$ietIdTu(*k3*zxSQBotW@i?!+H_>=;i?@cYWJL}JA9$OqN={8zW(%?qsz*&ofZgI zg+L09O3G8qL|U~R)@jvRl|Uw92|^_rwZ##Zo>sJK&F(|Tt7}_s)wT>>tgbtC{`8)0 z_vGca^R?Yq>icS&2dY{a zPF!g2z36S_dbz2uvZ=Sasi(H7y9OAeX{fSkq^jjNx#E|i;%B+y`b6i@o#vjA+P2<{ zwT;IrF77^jVrAx~rt;Je)vgprF&YuwWAKeB` zNlwPWgNK`1I;Lm8{P+L-ukZiPZ1g3lK`6Blub)SB-O2 z29639XpIt>lIzVX*bG4ySYw4D3j&$-h!w}}B<&*2Eq(gomq3^p!h|}bSWim~ z7Lmcsfs8DLj&X$o3Q*}7TBwm=6&$KYI2x1-VO$-~f$$J59;Ct8YBWHl2dH3Np@J97 zp+CpXyW(GN++fKRp=z}d(a8x^j^kpK;=^W+2GD|FNpZH!7^ozJRCKV$6atwzu!)1v zp(quKk|8J&j2Z(`%pcY-)WCmMYQdvFgtB0q#rzN8feKdHs=$~rqovLlVwRY19mnWakBSfJpaS%rlVC|N@t2XW0cHr3Iip%Hgn|!WNJHoUc zHxlVE#9IvsRy@gKOtx4uT+ZB>@PZ^qR;(#Gl8BFRXJsUpt;k=qt#s3&mD^9R+jVjE z_A@ItA6c??S6=C|l+2XGl&GBIoTY15t=_U}`SK;jdFlCSaTys&DVb>rIavwWxe3`t zvB{YcHnUSLGV%Nk9JVGnSR2YAL;|-;5(dc}TA4{J1E`>NauX~!>Etv3hFU@>MBX6_ zpDTiWGa!V-mmoqMNHDZuGv%6s0D|Xl;s)3_0d_9S&SwEy*qJH|mP5|6D_Ax~fKB0V zRV=nB7FiVwZHk2s#bUR@FI?dtrC`M=1LGAz35uY2IXfDlLgxKfN|s#{Xx9Z9su#}RoFl$#@;R2I1g$#+p{5?ppUCVc9 z#4%o19JNFMsbq*wtMR#lA0kl5amo@EomyPBVb9@9HO)7#wOzkj-+cb+ zrTx1%tj&wbv&eHvK_Mk7p~Xwg(iJxOD!U@jtcoJkMnoGIm$+ih)}v?Z&sMfysq3w4 z9ja~}xY7b#(Q~1(?_vW(i>r()x@()eYM5!b!QbeLUxA9B=ZbOQik9AyYwdlPfGf^j z*mdyG;ZvtB*VeT4^|bc(G<9`cYi+(-S66YR@{KD7Zch*0nHwCvKjL&Nw^I-QGWq3S$M1i0clPV4FTQ*H;ve7q<^P$v|FW%p@YvCFTUV@D9qlaDg{FuX zIXR!ftUtT-n&Ql~1N-*1wzhov@WKE3U;p#p|KsmZp3L34J$U-e$%4`{J!KJSv4t|| zpE&a0i!}>W1{OjsLa0CMi2n{@pTWdpJsoH;vrsxfPx`|~e=W9HrC%&(R&WF}i#{-( z#=un}Tm{TkAUq|^SHXY^N|e$V&5*%@AXXHzV|pivxoI-oVu^IPVr=dhquHg!Ou!W) z4a!#`92LUT;sTfyAY`Zp3-G$aPXYNUb^dCYrP8xi`XDt55(uJU!qymA8a+#m1gH^z z)qEDob$^OU@|{=z`TBJ~kvLc>7a7h#-s#GSESQSO^iQGXhr_F(Qm0k}0%+ z)-E^83n@vuQJ7{{ZZ9vsR$DVV^Kf+b`RLrYz!l>U{xbdGo0$h+P0YOnFZyd&yn~8Q z(&G7B+seH7Nmu+*TKHV?PJWIn-qMHx!}08TT!odNe%d&AoSB z;SF%b$7u1BuJ|A=-Ye;R`%`bb!k16Yh73)5TU+>CG0_d~ZkPdzJHEP2aO{0%g6VhB z4>Hj{FbPo6J;cn0wDnDG+jS{2YPneG5QRcQR;Yxv5akCr)WHe3FxR1277MRQ!B!>c zR>Z27$Ea7uqQDiaqO3V4JW{K*%H<}Fltjc)k@UJPYbslsyKdcW>L00U@4edEQ`O#A z(>Yk%IaJd=^u`rFQM?I5i;j6(RJHb1dHZF7)V2@RcU||Q;`V&NaW9j~#-1~m>JJ>d zu=~L29eYpsT(M^Jp7M=5w;w!l{9;vQTbIuj=9ElxYKl26!JH9oN)M;g+*GQ=obIt_ zL^?BLEdUj99xTe`&PWHYC|tLrWW&B?n~$#CcB*{aiSq5oR&G5|Qobg)Fef7`A-6EI zaA{G=in8L8yyD#Sf{et>^u(mJg!uH7a3cz@5O$g%(Qp|U& z#Nm+Cp_7?(G74}4QJD2gGok<=(po8{7Lf|RQOYq&=BGahUnzwo$ma?#Dp&v&n84r2 z_oul5Ru0R`Wm$Ov7Jh(L7+@6#SY-h=xxY=}XH$YK2B@&g7ue+so$^I)`QmUzK$L2QGfmW~T3*2w0JcJo`3M|*!^$r%)A0WVtnqaFP{GG)wlmS zGyA-)ZQ%IvbK6(0Tpi;qg+fw<3!R}0kbuu!h^8n#b?=_tb@jF5lcWFmx9=W3o#`KJ zJAd)`+KsE@Qc^Vrny111<@!Ggq0eM`KMfv)Q2sEvP)Gh*ODup$KOM!=(JY7z&>90Y zc!1i#Qlf07o}^S& z)fhz^$taRcqtRjuw9=|9Hp{apNv2)1Yi(IWecipeC-?5Zy8Ga}dtdx*{K0oq_rIQ= zdpQnX{h4RCW|;Eb(I27WlfZcX!F0*yk3s|I%AJUm|bGuU#xn4zQ5L^Up-{;HZVR$jt?#vc{?ARAMy6J0BrCL zRxnjwzNrx3Vvw$p@$T!B;Cbe22FBZgEBYB%^bF4p-2Ad<`2L~eO}PboO>`ctv`GR* z`~?g2+(4IxpG?Z~+|crPd~GVZD#@@iUbj3JS{Y*~kEWNnsbpMdmq`e*&;%>&W?f2p zN2iMH%kAM0<9$Da~U}3$rALTav=bShpeEu6Ns9si~<;R+ensRkC4E z>4yEK8xJnqcBFjQu{C>+tk}4zbXiG3VOnlMYF2(~MqX-eZfap}T48odW?Fn=QdC@W zd|Kg>+*LbsS8Pv8NRGfYRw)Y?u(hE<5GRzB@Lg(Am`-ZfNf}7MG83Y(ph^p>u)uON zz=l>#tN5gxLr6mjNyz*#h0hgCO~o5j_*@Y{0Zwq)7B0)o4KVTi&CJ3OKa0fACR=Qi zF9xWvgD4i-UjzkOk|-Y>m)gB3#T7E({Vc zQsZiKgeNvLJ1aZ8G&iR_C$lulo=qsyG(iQZaJfmf%BCweNz=*DSS&CM;n=hyn_3d7 z6Q!X19E_Kb@r!X`zCoC%nARR#cQ7rV*)15G3aZX=P$mr_t%O3bkAy6N*)G4Wh>gb3#hq`mIMU*7n!54p%mH zUT&yAdUWrGrJ02h`h2UR$Shq#ikF+ED{acvZf$`@6^F~rkT}-kD$ZZBdE4xWXfgHt9?0~IyNpa;jWUxU&%o^=xb)0D z`pfgL{%vaJXM3x}7lE=82^6&au;0+e`w z0t-+W*a}0i5(`yhVuVr>R-M_YrEMD0qBhbBjF6z17)C{~UH~H?d>zV%Fg`?x5L#j| zOEHVwXjPC_IbjuJG*h+#D)RYzECBppYQS!P426<%dmms*v%7I}^v-n(&mQ&ZE#gXiO4d_Df< zU&p`v+r)!!nQECC@H#R`xasYC_RC%IiNem`PK%G40ieQ{Poo0l7I4M5*A?UQuK0l# zf@D}(E|Tux2jZXpuoA*#?nEJQ+r-5PP4NmCGJ zSeZz#Pq(Z|A_t?RP?!MmJlg$IS zs@wXmHuY4u4lvs&fHUy>uDHQ$dhT;YC*ulV04-|U2YspQ8gA&l(L68;($qhnmj2PU z{?Tf$EA}2b3tX{t--#W2k8R$0c>T8ht2gi7eeCSHnx@A78$MSQ@7$NSc}wQ{)yd_h zv1K`7`AOD{NOMX!9q%Ti9axwRc9?ZGvokp*ZAtl(&3lSB>?&NlBX7;lvaS19?K{5V z(22D>cdS~sa_Q3C-29}Z)QFe_cUoFZeokspZboKmTzs56HX$;zWJSrA6J=XYrf20v zn-H6VZ4?DU9N>x&Qo?g;L>^dbhk+}kz!he_!fH@5(aWuf%%YQ+Gy+P&C1s(c6nuR! z=|#o7D?}{s42ZukURSUzyg)OTMRNiujvviiY!WOoixyd>z!Hl9Djdp14#fh8{Bx&# zf$LpY!~s_*L*kX(NF})F^UX>=DhW~YS;COT9G+jG$e*nU(pnA9)Wo!9ON*B;TfKbw zrln;|;=?nHig=lS4$NIjD^}Z~60(?4v4;|ROvLrP%in19LDn47r zVQHm81EfJF zi)<+&T49ow+f{2kxb)>+fq%Y5_Z|8uVR^fsoxbc{^&-kcs9oddM!VpetCyi(tB@YKb1+xD#4 zx@+U^eOvb*+IHa3mVF1k0mnzTA2@m9LUnCRfB((tk-J}jQ{1hIXE(;54&Qq`aQAgz ztUEuqFV_3C@Vdf>ir232HPU=Ti`TAr9~C}VFu8aCt9$pq8N2`8#Dl*~J^0Ja7k`-n z2Xo&{_=YS1Dkh)Z^|pNmqF{!p4^98sNOnve72+U&88kw3&F>K=NETNDs z6f%cER0w1Y){;S5I!J3_Dd_+i;U_WpiBW&CK0vGwk{P&4TnG^=+^V;F2u~F53^O>~ zdaE5WnG}Rkf*J$}%+YCrwW>g^mZgOQv}hoV2kVItZ{0!&Y7EjFgY|e22#g0Icrb#8 zAjS}c2t`OPLh%t=s5gl~m;;KZBZ5^JTZRTmV5YByMC~V4`O8%SN)=0`W~;Pp6&$2S zgSEy`h~hw|z?1^tdG(K@_vC~LbvbPb(XlzH@i{56sR=Rh(Gf9WVUc!MI31hh%FK%? zE6>O;OG?X)iAr(1VjNbF6{tf`(HfkT>j`g2nVyp9Nij-@4Ms6eiwT>AcA~W1MVpgM zRIbIa)P}5aXqGxO`3`knq+$Qo)vc{EK`yhO#(2maGST_DG!Rb*PxqDX30vVCKQYi*i!RWiLI&R7;< zEOg>&By3j*)q#G>kN`6YC8dV1*tF#6`7_M}BmJW@Ed#f!TbU8&n$|(zu1we3N8Y%? zw@K66u6QRM^Qrgt!fF}3^Trj;{dZcu`@GjQ_W@VzIe2E*{!_d5pWLvKif?tS^2H>a;&8NZ}3x;QI5FU6G^XGshvxsX-Rf=c4A_3cyyd2G0~Hr z5}B12osk@!nh>3qmRh)S!^*wqR_r;Km0uibHJFuwxP%4q{2+dSQO2=D5*H%3!E!S! zHz9J1*A=#RTp^^CJW9c#f`&wk#zk*8->OLh~`f zQd+vwswg%|vq@nx&X3ZIoLY%hEeY2O;^EMAeMm0GFE)w`adEPa<59AlI$>g1cz)ih zWor+w+I42b@vFNoHk_{Oy4E#Z-Pn5c*nv%J3iH$4VJ1i;1g`McNCl`?gTfF5sa0Bq zLZgtYRdSWa=7}yX-*WtX)1~^}tIgfjZJj62o!qj%tSH4=5C#`n6s6#IBgHGN$~A6X zu}z&qNIftw&Prq@q?Q$}+qvuH`Kv7*!(&Z-K)iz&>N_vh_gt>)zfw0?$+)7Yw!O2a zt(m16?bNy`zAr|GVzU3FvAqD<87xo>l?55Zu-G@GY`I< zp8I-o_SMA9i}86{Jip`H?-I~r;t4n>k4`_Eee~_qSO1updD_-7aO%_rpDT(rfvJK8 zVcbPTu%AsMk9Rxs^YY5qtlGAB`;l`;)^1yuoRf-K2*`-5FhZ)QL-PeSK?wVsnDCXxE(RMaeD;ii8eUGbY_Q=G)Zu9 zM-POc4}zISn*Lg?zgFk3K?1aT7Gwy7F`x)GjInfv0G$Cmg5yAd3cWFeSztnPQHqDs ze1l17FpDsY*kBgwX#os=C4vu;e2q6+qX5DLFrW)6)T07D%7al3(*WEMs=-4wWT=K> zC+GXltADtCSAtPmietm9DFsK+Ee{y^L$*u8s7Pr1BLwbuA^IMa=S*H3iSNu#` z{CM}kk1ZJaShI_d#HWiHZv*ftW>=9BfQl(^=5^r{g_jwxH!>TXXdhroEV@VL25y62 z=23Ic^yT_HN6vJwShhdjooQClE|`eI@FW_`bPxrRbV;nKIGQSqH0Fh2S#~tdgv6jK zO2$^*tDcK3nP zKolT5_aEQ3=g6jAht_T1zyIXL3)k8KMSQMUws&9trj4m9mPQriMCD~h=A=brC0k;{ zQKwl&7!aF<3X5>Yr(~3_DBr$s`?0e{>o!MZX8N(em}X)*rjN=E&uolBE%LBdrQHNc|weXOL(C zt_ZQ{WOlvEhA1tFf-i-y!vPO8s0iKc{rDQ?ke@Uf_~0_Q(RlaXm??1%#ys!<)ur?SFT%8 zzC0tT$V222;v!1CgcdC`iHm7T9w|*X%HmL|TPwAx#bFwLEEJLg2jv)e#YRaHAx(uj zVJemj;>9~1S?MLE%XgM0@SPQ{wwHBa4A(qQ&n>(*;&Hm$6XRA6cH+I){0$5gT+p@Aa+g%W4D6}ez z^xRThxWXb|?S@M2>P$)+jq(#LhV;mo-1L&on-8451g^A`&Hba*?L+gfsPDg8KUCG! zU(?!C+tF3i*6(vgb?Yy1#oMU(Ew1=+WrZ(oLt`C76J0}7-NRGhZQe67-P$_}TwPJw z40Lh6y6MujmW#E`;NVrcynOaSzVsrYd@!7AZ?te4GG_Uw- zYVPIa%*%;sA1z+o_0{ZocMkzS0(^)2PyhP->wlY^d)D4Hbo$K2ovT-^iFFpM1Jgtc zA_a@g`~Z_uV8!)Lr!x#(P?J*=bMnFyQb=dG8YSfjxD6-8z!iEzh#2`WE`l*BjLBhx zN>6A|lg?mM!L(G33*>sS(jZeCRXR#%u%eWUutbuMD9RO0xnmHkTS-_1fCn(fhR{V? zWFdqs&@utX-i4V+fJV>Kq9A@6{US92;-^Ie05%XjL{D-I%&JvBZWiDcq0uTbTE#}2 z7`F;g6QGU&A|;4ffm+p=U1PLEq!pq;%#g{frf3;PiV%zkVO-z}H4&;JSV?(rTp>UR zIYH~}4k9w#8Xf75ijItmb-6tzGmT=f$%1(zED0&$v5D^RXqz+4Y_ZdXi9~S%HPR?y z)e{aq=|<@=gE5`$1Da!mN@+#8Sz2aS6}WXpiI&5= zH+OXP%{=+*%%ksTfGfWEesb>XvFWGxrXB%Tc$W;nx-eZ*x#9;}yj2wXnid~*#jm5q2fyGaUGXz%!R%soW9H3{s9sb|_uic9y~#X+4}HZI zUR3z@MIC3VECwdJhNr!?qYpYq9<&VJukDyPdZJ-N`ToM>C7BT^2^Lqh5s#;_BrBHU zz*1~jvK37kZ>bp-=)a=@Sa_7F|O!gn!zVGOkJx4a~I&|RF<@49t8~bkiTv2{tU;f7R zNlQvSnduQ(>CxHgvDxXCsBj%kiXbg`r&%N8VlxVgS8v*S=;WdER|?mzx5UMWF&K85 z%n1>ZIY~)5so6Oh`Pu2|sd4e~o`@(*M1(Os42}xdr^R~;(=%6;tXjYQ$hLEJ8_!hd zEn6AxqzQEhDqjSNe-BCih^Yc;SZ+nNR#a_8l{Qpi_oCt*S7=4FTENgk#iLbRlagan zgqjo~CV8+)8f21y1ezpl5C9CLh>Z!@xPVPETcxutVzy1fc1qbUX@Fbe@0R$v#fx2{ zMJ~}oa2zIMhbw}^lp$_qs7uAMNP`F=OV9Iz1#CzZqLm2rY6wToG#zD+jPqnBMlDH= zSd!*hk{-4sGj(}!NqPC2^0g~-GnU5Mz{R@MA}yl@WhA$l6c>=nY(kTWD#NrgyGrCy zbE7mtiBMn`$}1+M#iT3^;YO$e+*(eo)s&WyT~NGX<(4B`PE_u{(sHu4lUe3j*LwE+ z+2e<|Z!FJEj-X%(aK%E6gsa!6fGbcvgrX3nQ_Gbyfmnpo){OjR+xMS8ak1%ALw8-z z@VUw>+jp%iDU8mKBl4}vd|gPffw#;o1FitKQMo2*63$OD!^tjJN_5)V)!R>>zt(kg z8W{DBE3VY{S2YZQOK?qFZ%s#cO?!WJ>u`0;FL1?ssQA^c`0+B3H?C+M9Aj#&`zAUE zrg}zZ`)@wzy*|_4e-9w3p>w3M>v~i7^~SD|`i`M%Z3EZZ2J6~}>)J+IdhP&+42^y< zbo=4pt%n0Q9}e7NT4Q-#@o31KH+AX1!WBOrRes}&HqM~-pjM!td+C~2XF7V0RW zo)qeFaPKeFBT_x0((55Tsy7fgZlX!M0i_`=rcl5djRA&946{(Q+v-vg2OmQhn$VrpdX2V@Bt0yudBF=7i_qWo zM3-$)F(urTu*|M33`0s%97p$U@9G(xd-nI)$A4#B@!+o$v#;(=J-Ivi5V+zl)0O?} zyECu62Op)yZ*j$^Y4HJUcwO=9XmM-m@q8v9f6x`LCt2QEZ!*7%3|^(77?K8`F6(*lmCvu-dAT5pup(7$6M! zqe{t&O>wT5jvU@K@eiHStAo- z(hG8yt|{NTXXC!ZX(gq`aF;-@(pYgK+Tluzjn7KS&dVt-D9FjlNXv*%ObLsPGXYdY zd*GBrUfMg~FvY=W!@E8W7 za^h+SparV10aw6MGbCn)EYt#%nr~*pvj77qLoJFBvpmH77A+_Vn-H^cZ#xT897u}; zEs{XHG|(vxbV=E63Ckn)2XTx1T%yG;aR7MIB@4F8f-JHiS{j6j0$|=ERmkTmuD?_zM@4yDnf+B!7R&^ro*aIvBLazpRc2H=Xp>gN9Hw!WHX~$7nJ9k^M}4dp3Q@6;Hgb z@X_Mghg|W>o3DIfHbeK0SB%Yk1+GDpOkPgTzVHSdyquWzx?=kEc*WGyvALJ`pZw+7 z*Z=p_+|!P(p|j^M?_9fPMT{#;8I&OQ3zr4iR6JZM(kNs?xr!@?Lgh%X%n+&|cxqax zwFq=(K1}oUlt532P@@>dlm-mKa1=M9MiMoe^hT=&A!TY*Ak#{eh(e2L5DGEcjOH+t zGlp_RllCaw76DOCnZYE`8F>i7Wdx?1;Atgu^Y0^;^18qlelLp3R zYMolAM{pxyG8t(aqeuf`#3;&WHj@^c$?3L+MLMG5OrB`W9uCoNojDw~L?X6W$R4Y4 z#;RPgl*JWA(wPQ*KCUifTp=j6D+|K)#c8f1`*(Kr4L^AP58#SvX0YPB@!3~nGf(bK zKe{*b+`BvNclTz$@zUbOTeR@y*U;jFU;ImG;T>o5^59LC=FiCwsPG1SpV5gYcgCME zw3zsnuJ|A=eyJ|r9)$ zsA%`~tQcwRWd2G)b1naj#kuE)O1w0U-!9U`SvY2D_6wk=Gx*C+=E_5t9ZicN z7%|zck%=*Bg=vM$3s%F4`5 zNJ@6ZM4~ZnU2>E)Cn2sRyJ-39?Q8c{tT|Xwv~pE)N@TcAV@5;tvOhq=-yw1~rje1b z&VoWtz%yLy!ZmKA#)YW>Eo_L~3d<}IGh_j1VbKb$8i7^Aw`zDc71yfdSQMcaSujHj zMi+sUB#@MN8*h4#fj2DDAiHmi5D5r7Ow96#K$u-ZoFbN;8O;cyz4f1{kfr4f1nh<@xr&oLOEa?8m9N>kch}xyYnGN3 z#XB-gvK(4iK!p~QA*Hl*iCI@_He}$M7+B)g@WM195o&gfmYs_7@+oN{El#C@2y-;0q`AWrsy_@pVV<+(vn-34x4wkD_m z4lN_aE1c?O4rQrLUTBtNnYD=~W0c8JTCnWEkqZsI_v*TD11DT=>b=_3SJ~KK)i~gF zMSo2P_zMKe1+KVW?d`Yu!QDVUJ^cX`@$*-Le9RT^pn}<ymdauv;HY{caD}LmP_v$M?IBGHcq0LO^n_`VU`GhOp zqQ$3O@%7m3H{-M4GMV|B*%oBx#l*~Wkja_nQ*$q;=Uz?Dy&Ri;G3rIdjman1Cm!9I zc|QB_o5wHzHZl9Sy=(B?`77Jktt*T1B+5e~#4MMBXM^OJR;^NMxH4_9OcyBAvt?+o zlHh7hLd3>LtUScb(bIfAEk-Gsfz;rXo*)T|GLV#xFsX2}1U7P2aF9gBkwXHNUd%M6 zFzHA;W(hNxK|H9*tt0Ge%&bIdwb2UE4#eU??Gd;;h6szLTrp-xq{SL;vP4kk2%{+i zGllC-;Sd$3!W|OCB7i8amI&2ip%BJJ2)=<9;3ht1<{8Xf)D)_tf;8Z>q!^~vdW#OT zz_Ft1(gr<3bI}SED?ofvdo|DkA80eFftRX74kM0~xqFlm{935Gv3b zgc^fTZ4jyqVl^&<2qjD^5kdu`#}UdzI-T~YNOwY9cuG=KW|}272DUpz22yIYC@81O z9I180!VyV^*fggnI?-awHyVnKnk9sE1;q!h$d5pa(mh8G?Cu`8@#Twun|u6sX0T%B z8>YqC?9=ht$K!J^$LGEqyZ_g*x&NQFy9{nCP4`9r6%EHhi?ke%2`)6CxIp1E~y-2-)R-7oiDlI=LqFtexXUn*Jc zxZNG;UBC6h^ZWo~5}va7kRjLGPjvD7UGX2J#l}v%>-&&@Js&#ruEp(&*RU(b|6{K3 z&|ZVvVhb3ffnukFeb#S$k`ByAz^GXht(4LxfadfL?gxX$^ort|v!>NA&a9X@gHK*^~C zB_|J*lpZ-*cB1Us*(>)h-l@Ftxaoe4V|9PUfjvoixgm*3y5KN#SfnjFHY7d)3Iwju zQUoHA)}#-L3W?2(NXm{)&xy_0X0V5_RbmW>K$WxkM!7n~91mI*|drFpp3ZWocujSM=ll}zr3}0M4!ju&ST#>qe*S<3s&XnKT zU0j?VVTsaEkn0=fcDK@<$C9A2(ioQh%qS^6|6Bj16*Z?MPp&c_YTzv=YHKdKzoC#Z1muK@U;XzX+~yIs-doNe!& z17`S@Nm2J%c(~n|W8g(s|7uoU0avkrUD5TKD?ZQX{Xu{zJoyDzxQAJH_lGaL0oFpTAcm+?hy||NN=UBJLXbwP(QuR+l1z&g$o!c6Eo7z-m4jgLF>Db@pkT_hJe85J zG6GQuz(LxoHukz!nP+S#>uVM;RT%nRH zg2NFh*g`o|D5LQuWR4ima+l;{O7Sc?k)uMdod@|B*cA#iM}lMteHlD28s|GQ>l*@N zGnwm0lVDgXEK`M{D=}0BmM(|?ELYA`>(#bETU@j~B`!QGDLOaR5EIHVLVi3hMkE8^ zp{V>h<}hh!0u+}XY>!GXTeqndxhj4EaD@t=ZDOSbNiz~{0JcC$zh!4jTY+ES{&nW% zzfI2mIObXz15liKJwE$te0F6VNMr6VW3xZ4O<8;rk1>98W#pq)W&gp|lYzB!Oz^Jb z-yCg(`}b%yZ3 zAiIB1usO&dvT8(f0gb^X5d<8vR7&#?QExw(d%gNr?Ld2VcUM)L6A%Kp!V@vj++{1k2s~WXK2im4Hk$?>)pp;jY`b#j z*{Sjy2alcJccgUh;p2M_l>k?qzIgM}?Wb4o*WP&CeEZpI{fdV42+ADm~|8>M_^EE?Y6+gxP+}a zxy9fTdt&?U{dqf!vI;VilS523d zuE6V=SRHT$4Fyo4buWCV-LwD!#(*dY$c+aB8DVro!t8!xAS3l8q?UwG5fL(?pAhfE z!Ftirn@PxTaDIP6`TQ3&@;fXJNuW}!0a5vRrRUEz>^pKbvv^V-T1$B9l($v#1g-L&T+XSrjIn2>!0j=HQsB%dS1GY#+Yg&~onX z)xBqS734=}g~*e6NZ^VrB{A2?1gI!5F}E9;=~_;tf^QLtQeu)19Vxr@%yGBI`2a4b z+5M=l>roAGMa!ew_D6M{4;vid#m69Z?#JJ;_VJHG#jm@f!7<+Ca5X!oTh`LrJ=50n zaY;Qel7R7KV6M~c3iojIvfJ&7^>o4eHa|TN@_SJ6u`6ExIw}SxUaq-fad>L!*Ih9_ z`@_WS4{+HExP14U@u@fPWX1Fw*X;82!aLXe%IM5n;0iE+16qKQd3bth=H>T`EC1%2 zU2N&-xqbKXk^P6#!oy5#x`s~E@I@MMxtHo_0u73-M6l%ujts$-q6KoiSVfX*i4q7W z)?tJ?yjV|`80j(-TdwEJH4=q_BUe)7YK%;a6e)eUk}XVu4_k!bNiYIAQ3Bt&v(-k9 z%D_?TxeA>?sTZsCGPMEH`Z)GabdRTAWNjbDco!f z*Bc@@_Tq%(&C2+u_oGeh$z_&^C#FTBGarIw^$CyeZO{OEmhgIb$uEd8W*hJ@U zrVD+TG9+7#VreieErto<*cv=nP2el(GA&gqjr^Rn>x_G@#i{D)g{8wB7=Wley;>LJ> z!r;W>MptY+fztO`Jx{kQKJ8rgIV%2cT5LRI`ge=M{bxT#MSCCo2)m+h8i)eW!s80h zmQIf@Jg8{xb2T}~>%f@SIn>hUa*RFi8hw8MN$ZJY*K*SLg!#uRxJnkDA?HghIs>@C z+HJvhTWFv;NGFG+Y(9@llpMwTWdkgHXwg9C#S66167vv(fYb@=R| za1dHDQbR(iNhk#oDIp*PcwY|28%70U6CUw3 z#`jN1pRZ7;%_uw)LnT{mQTYWYFP?8adg6A`{?gQ*X|YLx(j*fzNsCKX_+_d|c@Vb%5@)K}iE>Jm1Q)_b16NpCes&=?MoCW4&|?+U zXel{dObHS(EFw;b!LT(W=g7%RWw$EN->tpyu;EHYwM7A{czP4j^E>oe;_J;!xiw2z*MVq25_RqG1b)RY6fwvmBn+XrFXie zZ>F_>wqtPK;|k};u7J;j488QYVts$bub|>rUGe%?P_e-kuZO2rY4HVDOu5%VX5pe( z<1;Jc?zSKk({EkVZ>MJ7PS3B*Jbynm59|TEVqh)f^UDiMKQI6I*V*UG9o+->9zHvI z=vZ=eoQ5xyvPE*SPN4}AsDi0df26>O6lmegqF9EPNQqJzNu~foz=&Oth++#x z>Q9px=wcO9Bq57s7>UYP2Kk89-a^F|zRX9cK!{anshXhBl2v-T#>i0VnM#PI&rt)#9aklEOq$S*S`gO{S;AJxrApzMRZowFI6GhrpE) z`3j0i!;tB?Dw9BKWo8$6#??(@6EaJ%&|u?g%?x-Ks0JmFZ{do!a3o$Fg%4Ye;6P}u z0n0Pt_y#;5!VAy!{=tSarpE+p_-%E!JGI=!j zwCMYU7M@OLW3RqUi_e>-{_V8*&Egfm2NkQX=>5bM(;a>A2@%*E{V*-SSheUnW+HKO3m4pmT~XQE^NX%% z1_L!1w7We4&jBhxs$i4Au5fR$7+jqSc1$)nrmI^=fGci2X}WZ);>^WcM^BzVbo|u* zqbGnXPMo`R_0E$gwHs&Ca&QL`nTk z43$)Dw&+5mgA%qTLsB6uqazDlB>l88_cQF0<$M#P8-C_WCs#`w}uUL?eK zINxtEzTcpHzef80D+0B}506CB$VOXaLE*{E<;|x~KRk4-yy(E;gxmsae3B|WI=*oK zfpd2+-ES^AakelgH7!D$9KcJ2@CkC?3>6_)%PNHU*&1e=k{mC?g$dC9EV%tykN^`Q zC&j2~F-lsjoE|Bm2MK8=E+tSc&rD7~Typ;0wWnpbtIj{Dzw)g4etkz(yYu$rC;RsA zj0rUw6l^hm zj}L?ViYq?eS@B^Vq<{RQ{cr1{*x-s+zv_y2BUA6)u7Kll1<2&g^3?3|^xVqK!n@fQ z-%l;P8=GBq#US`OGjCllzJIy$@9+Qo-xprJ?{W@5cvN}h=*jrFRH<0a6KI8sAc;PK ztBWJ6!jY0dl+=WiX^09LNg*N2#blY7D3RkuT8z+$6ZN{3VHi5de%YoMrgRHcTlQ1jG~6f$Uy7PBQFC?GgIC^Rw% z3?iX%!C~?CsD$vi_;BEgNUI@4r-pZ>$>jlJX#ihhWsA*pk%1zF2m*JFO`!@0yFx{f z!UZi!3L{PJ&(a04pg@MoM3rgDA|*i}$8n_?wgk?B51-}5krJmgQuQ{q#t@-UWJ?A4a#oR& zvP(jZGrbX{05JgKroTlFK z2InY9``~QP*diEzE?$1JHKW+9wP_?830ojwFqIOCQLnSv0_-87krB}mVKD*bK&>1S zafEa-1%vjbvk75IK?lqC-K@X$xTU79)7j`4uIq$*gu$rTkPYWS;CYN^Ej<+*;-0DK z1F357t8Rx~QQO&9*ELk%J=W+11e$K?nX73Vdsx$b<59!Kn@@l%j-4q#eB#W3l2YJ` zQx~q@dRSfC+JC>Yr4 zqz(zU#HK}UE6Un?wCLE`l%hQ$De1<@=&;o6l>Gg9d(RXfF5h$f>b_IgcO5S;JaRgB z@4@WsjI5ZTv>c2=(o7pH7 z6H5?~h;jx=!=W04Ob;#A!Zl0S2H~nJATCMAA?i5<1Bakz;Xce)P?1_PTzUdn0wQ|B zA;1ByP~pAhIBzM=TY~cu;e3QRUjYswz@xZ06dQ|VVEm|P9}?0FkJya!`wr{33GMr> zAIi%M>*qznYb^F{xkt*+R-ZY2|9I)u10|=o7Vi&F&$q;9rS3R>u%_g&0{HN{W&YAw*kQeg=lGKMx%u#YZT~(F%H;f)yiU z1q-Pr4$-C%rN<{8IB@E8`NMNJo}GVCclBB8{YFPsXaC)2)rXHBNQnyy(2Hdv28E0z z6EVOQQZ`k_p^DgK9+N2KuoNOCB=?Vv&N)zWjD4mG3*2SCC*%mtfLG zs0<}8Q%}w{(29-BeJ1uc4KrFwH*u-aLBYBCdykxda^X(Xy{hiow$ZBQo{IXm$JMnD zYnt!ZcHOJ(U2_Gz)#p)zhT z7Jrv3+&eZ`QSr_*UokrK-qRj^e0q6udfDZ6#njx&)ZFsa{M!BsxC`o=(YclJh3{Q2 zf0%v!S74mD6}%vM`}Yz%vh<82v?<6 zk|lDASVk7Bh+-XHY{E;ecv%2J5r~rlW2n)5F-9oIid9&d76e?2LGVf~UIh_U5K#>g zH9C?;hgWJaG9_9p!^0&gRSczutAd1Ty-Z_NYK>~GQ45)MdJDLzHy8udkVUFA@}&l@ z#K006=t2Vxh(c^2i46oX1fTm5so;O3ScQ|SiE@an1gJ36)&5M4jiC;pDorH0mLOH* z#qdEA3}1zY8?wW}a8)?Ink3TDWDrZG=R+puwmi?c`rX8&HYil-A1u=QbASY7I;=$F zBT{bRE573>zGW)5ur&yt0S8zmG~osClm(8f!g8c&mH^KelcjRHN=25*@nR`TAVv$| zB_y;^g_r9|S}WZc1VN@4wJJ|8DpatGl;j;6d|@DPg`prn;p&YmjzQP!AO6?E(qE_N zf1a3Ho|t(vG5>me;q}|Hcg4~_$`ybIf1fMh zlJ%2sh9;MWCKiW1Qx+ecV}0Gfw%c<9Ej<0!UvET3@0u%|zm+d;vHq0;7k?8iKKh>3 zbr2UwN8blmbb3yRxF;w)XG7MfESh^J;Pg%aR5bRC!Euha_0D$nziREAKYR9WYGRIF zp;w7y5)Mbi2KV$LgI*h8v)V)L(a|w6(QzSxp%%zrDN?hjEHnZ^AYn}*x^4T?OK+XH zRsEp8%h?8gxMR4sqaR)eX#c6@t?lfAkD5AwD@Gf-CmP{e<RU`tVMu=Z;^70B8FZ-)A7h! z4iRD#bZopH1h|5M(a|wF8cIh+!MiDlJ`jEjg!vZ2Zqng4LwMK~3b=i$w-DpSLvLZB zHZxIPOtdc(i(p`pbS#pFMN%*b655x5^2Q@Tyl{S7e39PYp?$u_qh*GGjI4dfV{tH%m`nF5Y)CIrl(l`mU{e&mTPhwCr}%k&_pSi*vRn+tR}o$!1298k3#PK5!NmzMk?s>N^YEj8vylUBRV^*%UsLAYd~jT!})U z54UIR-hcl3llB`mt>x8EPgY(%aH?o~vVW!wmmx+2S7hjjIeJR5fpNgd&e1Sqq%;$c z6k!X<%HFZJ^xoMU^>-_~8#*UyfDIa2A5~XBsBXGn({;C|?*UxCy9=(4)zInQ^Ya_E zuzu4O9$Ng}t^lZTyJD=Vd$QFz)zUrH?3ironrL=Rv^Xc*Jg3Y1r&>VZC)2G1(`^GY z9fR)1=!5ehoda`@f%)#ih3=t+?qRr1vjc9b=x(9-rSao%=`# zxU#GOS4_;T)~|qFF}v)VeKR@pW_;$&DBQAYX=HYJ;`#T}um3#t^2hP{<&mjZmG$k1 zkDZQ;j)yGZ8X8R31QFE1Xlk9 z$}9wh6|eNisRJ+yBTA}8h~zl2k|I$tWoo8e!&GRQDlJ2;rKzQMWtv^%k&rk-?lva|`h*v;31rUx7C(~oa zdbCi7nb&xTYzfEei@>B-8SWOhE&?2>uP_>1p z{FWvA6HW3RQ|Zgq;zUM*&_Lkp30xhKt0i((M7EN|hs&GOBoO$&L=tKULO>UYA~jIu zW}4bc*9S7p!3Mo0UaQ@%k`^gBMM_eU8k=tuU=qTAt^of$|2~nwPv0Nz-NV!ZYkEWIj z^#+xHpgA-=BsMNKJ|QtOEIQa4s#lu1bOF)_g+iiakSH=ExcEfD#Ru0Kx_TT#Gp#*i z@RUVsFTBwLo_~PnF8;V)7YiuDor*7|67DtDTkq(rcMQ}6S2#xM;TG@{4PCCM4FfkH zwUk|}ICJUVsSDRj&y|;)I(P8c$-Re5&Ro2H_i0^Y=g`fEjfYR)&MZ8!+Rro~P-hD@ z1V$Qz;)3H-W3sbTcNPSt$0b0|{pYtHIGcOqV!`q2MaM1`ZZ9rKiO7q9vO{$l!MfBSeWKkI8)k`( z2uz5INREk535!hDD-!vb2+C$7-cN+avXD478qL8Vganj=PSEk`CJDzXO1;0bVr8t)~?d5N(w zDwv4xD8Ap2{k|h3y~t=^G6q4xq9`~t8H*xekOZ_J0p&+T`VtU6eh8m$klug9_z59X za$51pW4F(qx_hDQUipQ42TQJO+i@l#_eB1o>xV8>ow?O?`1Hjcy9#nLLo=hH6n{>V z7M}qTb9CfF0~L;ux=lxpkzg$>gqrH3XZe{0s6YumLP1YZ^AnT;J8%UP`mRH2^ci0W!P*&s2=Q0&$LhVczw_kOc%X>^@}rp?JlIjTW#g zCfrrKf7um7UvdSkh^hCZ>#l$UUW8o%H@<|k;+kECOKwiXv*@E!izCxZ!{GV+JJ-vf z=HC3f>*bIA6EE6&$1dG`n3|O@5G#mmF;QkF>LXEx=qwsY(K(P>WSsu|_A* zKpc&hsnO8XYO+d=SE_s^vTp>UKXUkgVDtWo$^B0Z&VQn^|B1}{&qU@QN$jsEoUbX| zO;pxqD&31l^J1{PSUfMba0^Skg(=y>lKJpdej+VWqC-j`qy#+CcxZu>X~-%A6SA@) z8*l|(Zl!|%BDn#p)M1o5tkQ^6T5xg;Mq)+@Oh}#{!PWY)RS32W$rhv70z6-UO-S&J ztKW=_$c!eTRuBGL$XqFoD?{;>z5>l=uId}6>|ZFNZy8cwt_mm869jr9PeO8Li1W-A;{shl*RIAQvhzc>(-w zv9K#HU%TAVJMnzw{|2s@d;XW1xgTa0-c7$;o_h6mV&VJI*`G(I|IO`+A3Td+?!5EF zt&5e>ndSBRX(Q8bJn^`~{YKiDCAdobIwxG8v0>tOyTa3W{R_1CWOKzYOj)eYS4{kp zD_-|~pv9|ISB$=1%kOc;3s1V&^ULMzKF|W(Q+V<_Rz|)Mc)nt)eH9f`ogP$xkz@cM zWE$MmG&;uImAyZ>qPcs#5xxl;sqY@~xT3kw)zmrD*gXI2$@t;D7o&n>u zsp}f8>m0A^n0Qp%d-Y!9sf&+JUbtOacCGZ>#gfzK4jn(W@5r&Umu}pvXlQnfT)SVl z=ji3ww7nizDE$Kz)7NG%be!6TGd9~o+k z*za30Vv`8HS%mcx;JkP^FAmO&f%%St_=f2HC!*iCz!ek>f{a1IqQGGY7!)4uhedhg zQQkz9HyP=TL3(>5eKw&H616Elsqo;z>nBd!Id|dF#j6!1XKwE}d~w^Jv%5~*EV)#9 z=2pYevsZWT-?j0WCf_q#$R{!K0T;FFv^Nu>NLk=cAVXTF2Ov`i}EgF7Me_ zkenQ9Hp1!7L}%@q{y+U3S63!uuVe(zt}!AGZ&)AD<}aXVz@=0kdTp8RC@UAgX@nS4bJD) zZ6i+_I`3E3+^cH5SJis2y6b*T=RgHl(CuRvDsz!fy8&XR}q3$g;F)4RF$19 z4Nm zl1xvQ0Sg((5CKd#W^5V=z1`FJAw3 zZsDit*_G*qm8lmiu2=6Sp8qg5_w&fiUq)wt8k_yx6)Pa_Dy$!gVgoIfK8||^W9p5E z7K5L=Vqy_o=!Ygh%HZmEZiuJr`UIRImF_(rpY&_{jB&L)RbfIdx|H-ko_lskz{X zMOd?f^vS{IXuB;UEI2YEC@Lx_Cd`naXC#X^C9?h{lHqNm5g;;2h(nQ)TL`G{XjmUE z5h!(2bNszvL zgb&l#i{ZP4hV-JMy(m~OD$a|F_ab385fJ~1^ZFyf_iGaPM;H_ZgC=3o1S|%JMqDxP;XJH~>TBjwqWx`KGmCd0IDhQI{qjc*x9c5GTl?#~MxQlwUA}eu zQ0d{Uoa7*zR>Z=xiM~P_PRgQ5xl9p{4fi19uow&~g+f%Q)KQ5UI}V*WdHLS8C$&%8 z99M2$0VGK>(i4>UWH~-fO4z0%73wK_tn^$1Em1=Wk&(j9nwZGA#LV4$O0HkJ-&xnQ z_^i$Ku)gQ+vxd8sjrS@W?^iWHsBV2&)Ak5xr?%@+?P@KHC%_f;-H+xB^)Lq-;tZ(YAZ|tqB@2RbIR@XW!8(}j)ZUu2Z zZgxHfoNnu>?&t%lZ0mt_-Ri6c_U;&fKPhmdUbt*#UE5$?E1dea;fD5+hIY8#W?koG zUDqU_bzM6E_IQ0K+&8eX)79AJf={7#uQoMqf_Eap3!U&PXWw`e$N>0^Pc#irv<=NV zhFl&Kw9(45# zP4^DZ_KnQ-j6Qdazv`M;bb@i!y^#_g&sS%p*9vU9mPTAlqpqc~sW%{_p13zxxLvWb zHV5u$ItKDRT+m>8Wq4+3X!gzU+{*C$_oMUQPt2`M%`Q#PE>6wAnR@YdbpB1x)Kc5% zs|QU($1Xk1EIJvKvPT+`Pq1X-%v&h|`OKi5jG!IVzyg9T7h}or(3ART^@&g9Pr}g($F~E+iqm?&4>%U zSKk5#4}X{gS);ofSPWAr{xu zH?{=F{lv|T^}U^I#V*DGEndKZMX|6N*!=TdL%+cJ$A5^-VeZCP5s1E(a`)*|z?L=DrtAy$g-Kb3hkxA-?Xh&hFth z$52z(Kx5ZHQ~zZ1==0{W*R^d^&mIllI@eIR^`J#>W74StE>kY%XcZ!(PGz&0?7=}1 zk&&^93GpeZG4ZKU(J4WJ(F%#4f@5P5I4YgQl~b%y+MOi@59=Rv40pHo^)&&vbdA=x z57)L1*R&1Qv=6MiqPndgzLjh4ecI4d(bNmRtaS|5bPZIt_dNy70AF^EHuSg}oD;w( z@R5+t!N$(vmd?@2x}ID28qQsOeDd6#lG9fYm0mbddUk(l>E071XK!4;SKH7$FnXh+ z`OxV*X}P5ySMV$*wn0zVYAGs}I3Umvn_$n%F~=pVf+K_mo75Vr2#kTkQ)2TE>^Ob> z)cv|+cd8HHe767E)BV>g_TPAR@J8jaYgMPORFz$=K69()q5!rE>m|!10P=lLF`z2?0e!euwh= zhJgHzitz%pkTZz}A?=`69e-d013Pxg2X6fhOo$O+ltEemfSvhx$5%6*0Nhw;F5jp{59}+ z_Qtbww`z`GxO3omS@G`u+tQMfgY|J*c7}#kpkeORFm^%AT{>2gj+v&Wh0DnPB9fU) zHZZ6b1~r0DNtKb)WrPSW%1rh)v54U&OKMWy_T8tCmfgAdr15TJ_p{di#*UHd#_k&r zpPaZolD zG&?5l-g|U#XLh_lJ61zXloQfKglsvnKu6wXrRJI_$q+e0MT#&gB7*IaFmM>U*BnJD)ZHS9Ct8Yr9|9 z^0=`bh@z^kyRxOTqN%N-p{261y}Gfpw$ahh=xl22ZEoyqtm~<-cGgsPSJpe9G&>)) zIUlujKWy#>j}>h_Rh_-noxPQ9PT-Sg&5r8Up1St_`i_Bm;EHx&iNX5Tf%+DZ!N%6% zrnZqr*cB7CU9Q@$$=Z&I+V=6+py3Z{<*&XIVaqhY^Hs1wrOa-Zg`<#c%f-|%$*=xoo}bH~K%j>$LOuBAS>ANq%$*Q-S;+=>`;cOzYmyT`}q zhqfTgqu|bTJu~merhgcn{(g9Rd0=|6e`axDZe?)($B~5}C+6SH%)ObLUz~mMX7=^l z(S@as@fTISvtW#5AhJ4g*X%ndur3p>mS+s_W$LklXzTQU*4 zc&s^@8l1(8%wvXbBik}Crevf(!4Hb_QO9_xqqe9cHmgIwQ3Zdcvi(76{aSAEk(#h# zBSvJx2+e4L1vxsks6LPbB3_MSO)spiv5RI=;cmHHNTF(IhDH zyQJ-&arK}2M|}7YLZCqlR9Jz6BvCUJ2EG<92dWGR(T0R+?NOSLI8{iJ%$6WD$8mJg zEGUer4Ww&K42_wkwXos%bF_gRO|Z}yBK5Z`gX}U>fLLu5N;Cm-S*lvF6JqUzm^&fH z4n4CtM7cfDw!1Lx-i@2X{c}I8{69;t|J(fBd)L$}*BpF)XY%#W6EA)qU-%i&VtoFm ziFxps`@;mFb0Ix?-)f%!;S8%<%Nvp=o$S?`qt>U3UdQ z#mL0s=;RU{7yPyyS#5p?ch_AH{H6u!7+)Hh0Poee<5SCH@T?mAI}A_38#y+V%K%Q; zSn+#pQNz7W0)8_2s@L_h&-JR`tqYhIE>Fd+MGrhS?52QS(KouZA#dP}fh@YGHD309 zT1^XXSmqr4;0nj^JV@6N-~@og?8bDs?-ANT20WseZyT6fPrG~8;#Yc>t-GSr^Jn|# zfh!!nuAbg;XYWLJ?<9EM*#~~k%a*}6P5rMMdY{)jXTcp!NB5|sd$6Nxprx~~sjI(f zz|}nQy2-Ut)#7@1%W?V0qisn=I<`lE@d9k^_p{3W++A{*i{DzLP+Ln=;mf_m= z!F5;Ev<+0X3_NSq%PhQ=B{QSNXXZD>e-Fy1j**iDxH8wO4kKL+jJzDl4tMHu1 z6N?{VKHKJusSH(7?~QBl$*Bm*q(E@PT#9NajWXc zjb{h0J~?ppDagUA6(v_HPF;F-_EP1k>s80^R2{kVbkBt=g~yKN>?+FHnw%RGoD*Wq z2(u+eg~i82#KzfU;sax%wDA^dqV!*rxPOS}c*Syvp)9I_iWd|8xHum^&RdA{kr5GE zI^N8sS_KS?h-ncsjUqZEAS<~9IU6HoBE@uH5yeMD@)Z&MM0lhaj~3%`d>odAK~qpj zBH9m!_C;g7(O54ub_)i(8H3)0_4^v@{T0z~6AkUl!egjd6akGuA$^btF9c#U0AZ za+-_~$wgWzn=LGCm|mY4laaUm=%F(=${#lXS5!3jHM9WlYo?mMl|dqq5IhmbWDAN<%iVM2+_ihPtjM9lCESAuq*n*;CW!GzKoUfjBOg(8CcmQwF zY=6?wTG7z_tg!=L(P$n7Z%&ZPmVS5o;JCLFSHgwb`f57+YurnF@XP~vr5(J1`)k2_ zxMQfPbF`^*tg(Hxp>3qD6};z1YdS}3y2e0i9dO`%nBbz{JzC#2T;~C^W4PHl+R`)D z>>O+A9&2%qxAsh|Zo}?{<32Dx>mDoMJBYTv)rN!Zy|e9o?!ub`&*Af=gYFEudy0)d zhcouPYy5fF#Pd#&$>&{@FS{p}oa4)VaJR2FVC)@%7c7=W;KBKA|I~8N)Jl(Qxo7fi z&%_eAx9T5#J}@#jFgy>^KeW(0^3plB9=z;OS21ar(Z1(&o6aMysYk@ zyYRSe+rD$=uynB{o)wru3e6>j6;Z->(ZlyKBlokT_jBX+@#6Oi688v`b}2Fs8uL#C z?J6_ooscH&V}=#bLh@-r`2ZvoTQ1o@hvc7)HD@4|IJpk5 z(BqW`yuyHkkz>Y*%tVoiDl#%8dX`MfQL4CV6<4d_>UCU$m1nZ^%rSIblwb0yEB@F& zLJ+FyQY~MpmugLFy;W}tuvmiv14Hcg(8$Q}=$Po3xcJzFDmB>E|?Al)3qUVO$g5zCJBgChs3D-LzQ})N@cXGRT*00PI$6{QLLpGLG*$^ zSzfHAI5+9`wd=$Evp;_S|GruJKNl8$aLp{b=9l5N>92m8eDU+d^FL3_|9N8J=gEbi zCKoo+0(QklT6{?t;Kg-Uyc?MTu2>%W7zrLHtjc!7J8%@9g;+aR^6B@#9d^APnS47s zxjg1t8J}Jmb@whAa;;Y59N5sJceOaD%abK{!QYb={NAeREBH)Ai1=+RlOc&Vi#Y2Iy!m)%+2#C_&{bTo(J!ys;<;J&3`H_`B33_OBGMDxf5A&ttXlGr31oroqAkOaIR2Jef( zdZRE~kf`tA5}JOS2)>&r2rniU!6jnpI0PQ$?dSI`0tB%M3BCcfg^c!QV0=h^Ug#~G z5t}v(IWk*dQu?-%;)9ouU3hZwe#^OA)u*mLJaO^%sjH99-KZ=BuDE#b(8=;$2ae=s zrKN;f;taerh@GpU7pW;l8hSCrD1_)~N=lTB5Gcf1xkMv_1iL~&PL@&9$l@m|%_((|S1=}|g4T|`3wR|u#C z0iDWcF?n1bo5P|rfMAha0Shu&?9nNOyN_SKUDe(@Q&Cxas$@@goIWj3m||ci$w}$( z77P4#9X1!jWvcNhNTS8(cAvZSxYjXS-8E6!Iatx|tZeVD?r_v}bk%kA zHgt_NbWS$FEjdO#CF5#425aCVD#MN7(%(1H*fS2^lXcx=_0IA7o{9RN$y(=lP4{?h zH~7-k*f-tOKMT^(H`CBN(*(~G&b9O|wDv8u4?Ks{5AFhHTj4dzDbI%L_Wr5P!Rd~{ z>GpxCwtg3Q(mlG+H~C_~^|E&Y3@Hme;|smxFZx~ZkOf}p9edF`3a1b5|Mj|md~smn z&EVwQ!O7*p$(143yWy$#!{7ov`~Aq=_rq}B56->=>6=|~&MtS&t@O;l8(Mfj{`~#q ziyx+6{xtjg&$F-oGV}7^reFNKYvC^wvpe% z+n&*Py<=~C#~0lb!XJ8=dP*P;yMR@eK5@m!)P`oJYp58TU74JHKQr^g?DY3D(<{^N zh9Hx(-%rf`?3(#`X6pUiJVZ*9Elz&GoTbEjLM8rn^9^LQfcy47&psI z--ykdBvxN(09IxrDFUb}3rlNcY4t3fo~74uU{{0+Epc3ZG&W_`6@MBSW{VXv6=XE} z+XF)*L&9RgFdb@7iwMn%4$q4ZFHDZ!krBUZTXIfXLSk%GNT^-!ZxiawBpF0fStw92 z#Slr>hm)W%qQ=fPMu~0ln$Q$&P>kLhYSITp>7cEUXs4F7L&MmvrWI(Yx&GqpNMrui zxSLn54iC)!^yB~c_U(Uv{_>}(xh2yB|MTR+Ut9}+o_xMe3)mGC^B+xF ze2EqtQQ=uf`^Xi;GjE4ymq*}bl;yFR<#D*JjHid)vb!bjx+~l>8`DecvmC?lJ9A~! z^=@?P-PqLo@#*&?F7OF@1Fv6vSmuDAua>z0mY7-^n0hlX1^(?TgHs^y23+s@TyJ_N zUUrW!ILE<9_4!)2(^rF2uRV2FKn7MR;@+(>zO<%`4I3>+;LR1?|377K8QoTv=KZcU zeP`a8?k)_PWXmX97FuA7Sr)SZsX$i0WT8c7W@d;P<0K93oyXO6N z@16N@k7Ng`y1Hj>@?U4|933f6*4Ey?{orTLj*kfO-;&1XfZ<>aM|{Q3hp>uY#8>>c zJ=Q<@L8d-&#mJ+zF(*`f;EK(GnZ3T*r#;h;yB}?LO>Fc{09>&&GBH0iHajpf+dDGb zH?=Xa^t^BB_2rwBO;wlkqsolZNE(p}g9qaANIESnoJ$jgbHsdsOe|Arv=L^rJ}O#g ziH@zuVmt)8j%uJNS@BQp<& zrn?8Hdk1H3-5u&Yf4{!*a#d|-*@=^dRn5h<&E-waRVSO-$o;MC>J#JNIZbHpa!Or{nMzBbXrgfEyzytj|c@zFrIv* zHyi59h59+Tf)HRM`fAXwBFNYLU>7MFua>Co(HXfFEsa+mobMXD-Zgf=d%UY>^nTyq zoq^ugvuz0pW)2yFhk5{9f%XTZAbzOeAQS?DfJ32BKL`YbKtYLAI!C0ANhxSPePd{H z^UnRA#+uSpyEsNkvWBA!BtHwuJC@>^Li0$Xdd8E%F(h9j5vCyEcwy8yTVh?~+51CF z_eSRLjm_Mfn7Thc`C#nP!?B63vDu!n<-YOFp0U+#M~>&*gVEXhBMt#L(LcR5IJ?;g z%*lz>2jeRbAFX#yZFWy@KbYLOJF#|WV(s4a=EJ$2u7%x)3%d{IcOK5|_RQ?{Pdyo$ zd^$SwY<%v;`26$H*(bwJx)^i@M-5GHj?8Y3&Toy*Zw}9{56r9$&u=_h-J9KdKDYg1 zdgCcDo?P9VS${mY@nnAE$?V$WnN_EpH7y6sT(bFZi7-%c*Pa>ScC+8=yskG@YAb57&) zZ*s-2>=gi4tZlyC+IY7EX!FhX=F6?kR~wt});51wU;klq<=ytu>#gNi>l?3^ci+xz zzZzb73jE)8-0n{=sg|j=455f5mEn~tq)H#CwD~9#0(7ZxOBOCRpOsamsBE{jUrD}j zKljF9`Ge`Svpu@93#`~0MpP{;x{)2-%CfgIt*wm6R*J4MOjV1KR)r|a(VAkEz5p3n zg0xj2VyXkp#Xj0>kUZI65(5`n@B+P9WsNq)7Q`giB&2qvq+Lo+KbMkxIw`(AA*MMY zwjm*|A}%(@VB?ETAhfsqi6mn~ zhNU=BpJY`TBgA|W56@uv;Hf^Oa9@VpFI?}-)_OD4V5$Pj(c#1vnlgqZjpT_m5}w4s zVa7A@S+ro_G?7Y%B#{H+!ZA^Ddc0k8x~+Y7dh>@L{_EA7|JZx_!}`w4wcR%kuGsr- zb?=9@-5=L?9sSc+KXAp$&H+~}Z@>PP)#4*ve2`=EI3qC*l1Jt@UVVfL2T^RjUUaxr z-YjpuS=oBCy5-0%S^;Lx`YY!QbQ&wxJ`u%!MU*)Q>%KYYeCO2M>T3Ye54;;rO)fp# z&jE2*Cstno2mwIF%=+uujkmKK?;KixKehUDV)@DF;`SJD1Xu))00(H{2)9^!HoN}( z0|FgHgG?_!2hIYMi=UD~_VYo;=XV_$TTV9k94-D9SNtYmI72UfUB%*W>929(qp@Ph zas1itpWGgt+!%heHtHaXeXTn7^qHOB*(W{Id)<=`uIQau8=P1knOGPan;#gN>l>K| zj!uJ1FZvc=oxd_%mEWGEO;hvKR00W!f`$=7m`oC%&lK>vB7s06mMJ5&T8l*=9iy|x zXpJ!nrJ2nTL(^RYQ{8=&H*OD{ zIeVwR;bK+onSHJ(t#7SrYp*|h>h!If*ZYThW|n{>Y(>-6gv}h*%3H70oVi`uaig^LN>THr!lsJ_fEq89 zG+ZpNzf{?9xxDpi+39P=XRhY8oyn|kPAjiSO;1U+>65jR1g$hyD~;02tR`usRcbVH zbz+o;;;O-Xs|#^4qP$Etgbx+&9U2Tq z1$n`sU}&&+5ZpHi8308=VIc?<9)l+l$TTX2Mxsz~WHN$4fMG*}QCKJh=Hun#cKrCa z?#B;%yB>qMxj;d#a4%P+w_Bj+5wQE0t}g%V=K4o>_phB?aoo=nxDWC^e$?%oua5rl z4=@Ov#ggkIvy!vw%jz$;UF>Z-d#~=)jT0v?1J}mRyG>{B*R)?LZ#b1-UY(L0Z_|m5 ze7uc~jH5x4$-XJnfK+;55}Mc=l~_*^(u)K2=0JVqA^s*J#Nyxz7jfX10_YKO z7*fs?nj+&fi)-sH-tBxaa^=DB-G{>uyNA05M!LpE&s;v2njXt%;=<&lBbE zgARg(AYdp26dvpcg?b^7LD*0Nk{H zT)I7e;r8&k+kIzmcb~h{bM9{M`MdoW?+;#nFnrZn>-+M9u}creE+QYP-FLHR@J`>zgZ_z!1Cs!^_YBT;56*TC&ORKR>l z=d+71W*1-1F20&xd@*%kulR*4#2K{dh_Bc$p1Cil&-zn*#o|6!Y&o<9EdHBs)&On2 z+Sq!&zV#9yjn$3sSJ!{oSbe{}^k#eI4L};JyWcPDynnR*YG~={l?Ov*71b84S}6{f z$@yZnfUgpBlv27}0esEb5gM*OLLOx`WhBR!6r@y@r`OhIH@3u-oKPp_vkgfMeG1c% z#WLnIjfD(jF~d+o)0a?mC8UTFilK;VE}+?Ssj)@m#8P5PB`&@M60YoXtJlI#HAOf*q3h++$rYYb%T16UD$ zOtmjV3LM0ZeB9<+V$ecu^AanM$5#u@NAw+`UMbBDiU`H8~=2(ZEW%bE38GaIjGH{Sx| z$+c&XoPLl;%ew$qeAEZqg|kE1LD0p%$--$8S$y&tT0EZk5S;m&mWq#o7Qga|{3__e z8PEBN7XC+2v0v}vGpN|-iowZ!uGk!&T;GR^5vPWx*8732d3LX7dZ%l0>!Fh?1}2t= zCl-gs7Y9cd21XYLrnUy=pY_Z8-I^Q;b3p$)Y>$6+S^e-XIUJZ-dYvsezMInbdxz`Fi)=!O8jYxorS% z`o{OU;!}LZgQ3~`gR^)0W^VUP-|3xlaK+%h+j{2y@Z7_(r5=Dr04M^^gA>aSM`s@l zPTlW&biaG->h<1^GdFAN&sCl{RZ`VfP|;M@&{liuOzY)~XYbs--aGhUeD?J9o|5{D zv1xS&{Xt@4RndUrR8eseG0BFw^vJ|4eQcWAmaMcS+ENSCiyKPn&z3h|tZ2Jh)p4V| z?P@WA6ZPlv>(Au@*SfPsb>~WI&zIL-C~v)7e)?M3x$7mTFBPQk+P#_ZmWJZ822oFGJILHJ8nUG*ph+iZ= zP=|$x5kAZy5Glwr6y}XV1cYEH=(q024*R$shq}85gIr;t<1o*o0Ulq2-TvV2`cLj|zjts2=!h5S zxUZ)>#M29W?5OM4UmX7Z{|fR8q)`QGZBk-tby@Aj_KUqOXCKs`zE#_Cwc+%wrp|lK zXYbdYyjI!VSyWw@mXQ(_DL09URxT=*4oM*UBvSp7>5xQ5U^KZJtZhl4%CYc z1xrKx^~AtPqMs(jMH=)+VbIqiT%d@-h=?$!>lhL9v_&V zxp?b(R&JU&oJ2(X}+3}_q~rVB;z(dcNczM`!9@}2H0 z4|*>HIMLU8?!o<2H*U3Fyw-f~X4C204JYr`oxE|P<5JbB^EGEK)}6iDaQ=GZxf_jV zZ#12~*?jJH%lUh)7w@+Ly8NK^@`L6}cN@>&sy~0T{?e_6tG61i-Kx8Gz4q$0x+_V{5)d@`gnvPS|ZS9pU zZRJf(70pdm%}pm-nrmB{8(N#2+L{|%8ylJ%>YC~rS{oWW8k;+t>Q2^IH`kQaR+ZP+ zRyH=CXlku#Jz3X&x}oD-{Ntj*|rWNBO)znxkKQ&R6nygJqGQ=fDn(PL-PQ#YUm{K)EZeS>E3{^BeBA%{I zVi?j{rYyEOj~A6IjLVTGXN%JE`I*Js>~dyi88xGnm{vkgDWoOlvEs5taoL)ssb#P(T5W~EjeE|Zb?JT!v~A+kXsEMKA!%2J|*Mzm0e7HCj> zC03*(NG%juEL&(2a20X}&q$}lQZeb2pj2{TG6j-I4UFMptWs)>MbXjLIz7Aj!=L}_ z)%*Xm_x#6=o!4u-Z&v|w*!^yO?}yF3KW#t$^Tytv)&R6{xJABm>iq|+#apM<;?+mA za9%$V#nRU64@s$S7q;FwrqBmKUEF%}VO}{ils8|0go^#?x8SHA|MF91j1NHKjQn&2 zPBx9$VZQU)lq{4v*HJ zOszkg-f(0v&29p(zL?&4HnsL-a^*3A6BEE=3)^G!TflYSg7Ii+Z*uwZen!c@pXH!| z$cOI0A96tUe#H{|IPr1tE0*|G45vfR+>p_kozcIG7Qb1dbL1C=IzMv7mXj-1Mb43rp72_+z6H7zmOG9HzgX1f}y9Q<+cTMcHx8KT+Ei`h} zLMoSn$73)sA{onMQ}{x*NFtEQH!j?JaIJgr_TZ!TOAiW9bVj8ddxk#IF(aC{jq%@`w>KdW4p%(Xv$%ypk2DBzi^QKzfv$3GQlz zyF|f{Mp6V8i7_XGes&*I<--z(espAu0+k{D>wu?9s>0{di0RnvBSQuE-(-X=HVLbek924 z8-KSiyxsoA!|fkE+<))k@s+!SD_nd)9swY**Ri86U;W|G?|%pJ_9ca}WO93KVrl7# zb0;tMwVr#}c;-(1sT+-_Z#M&6(RshV<63p=xzgIEjO_Fnn>tcKwF*L_8IV{qIG*a8 zKo3Y@Kw_xAcCwc-6eLH3I8YD^>Lm{G)e-{@B!5lFaaqvsML}N(LVS3nFoj$bpH)Wr%ToSNo>`u4n<)|{&5oQmfB>h|K=Q)LaE4mAQgQ_|2;Sl?Dq*HX~XQqbIz z-_n%Z+>qT=o6}TN&|Fj6Qd8c1qPU?lzqYKPwydP7y0WeQL`PH2>6Y3vZ8c}ws!q3- zceE6@Hs;mWW>!_DmRF>dRV0;^CzVtr7CTi`o>)+lm|vKfS8$+$f~3O2q@u#aqWpw{ z-1xlg*zEMEjAUC{oIN!*IxRLXEjBSdHZ?OgGb=VDBPKmPDlOHXl^LCv7gtoAn3Wxy zkYu$)8LcrETU@j~F(E1?IVL?VHY+Qkupp_tEVZ_#=+x=DYd24K_um|!>0jKO-g*Hn zxr=MhR#u)au0EaH@7eKrGKkYIvFKdMKXHZA-@W)bR5-a}(a9AvTdyX!UQTYknB9K1 zxbtLb=b2+$*?70S{@psj70d6pSHIud`qSp)e_Mb2ud9y0zjs3e6K89yi%qg@IVD#` z%-4qHYcTl=SiU46OW>W%1;sMm62if$vY>2TNNNN&R*5xBu@OSNG(0q%Mc{B~>~IcC zAYzH-Ou2@s(sOlIfjLeRm7he{$sB`Si{K$h94@;J7@C}hhN6poQXiY21}s7N6PCQ$+tXhG3jj736;j+D2z zwM@^g|M0K>_3FF-v-jf1jokyTSl#)4WADf9$3O2p`OD_xpV#*sT(P$I{o0;`D?USu zUpPdZ+W+I5U+V3mLvKFQ>yH&M4&p05g9-=MuD|+}j^yyfIke9e)2mN`9UnjlfE-r# z-Y)F`towXs{mJac)49!O^IOjswqGpnyaWW?d9<=SvamU}xIMnSGqJKex%LELiCJLw z0$+{omw*8Fm|A@TP{jBGu-yau`^MK9i9T9Vr5`@ zt#4+dXLhT5W~*yz^Wmg}EBXPJ7z4Osd3a)VWMX~rkt3+={?J-e{l!#snwre#5vXJw z28)H0C^#mE!WVJGGLb^1(&!92i_I7tZ%Rnk+v6ilF*3Q4LE(i!u@Fx`Zx1(j_iy~6 zt}IcQH94ZVKJU!+i@oDB2V60>+BLFpe`xAo{_{T%xMFzj;n4j3fw{YV4y(o84_xtZ zWX{pXePXq5a%0~Q((`DgYYcdD@^;tgjoba_F5YWtzfx6my0ogTu%aoitiGbLqvibN z3-|6{df0QNYv5Y$rUh`?-*qxu9l@n)A)XObmx-L94LP}AqSxOC4Cc;Zt!BVoX8t-X9yO|Nkt%zfG z#8Erqm=$r{f^apXJj@ud8SkgX`ic==tUz~4kS7rl5QagJC?uvp$k*t_Mw`qUql!w< z#v~eJ6D_d`Cc8x&sZ?siH zw4Cc|Jaf11)UAfow}C;^>AQ6R%e7r7t8dN9%Z`gRm?KzLG0x6}M3FpWDZX*EfCPGA zJk>9b;%y^%szN~AU=TCNQ;7Cag#~Jf09UxEg8wLkeknwGaq%drKpc~jQ__B={yg?Q_M{*uv_~?w+#BQhkJkOT`jVfhZpjgttcs#0L)x!aKPF4flmX{Q@8XVBa7r zOB9z<*mm}A=fyjxI?tYLuP@GyjZ)GDXjf&(aVxEzb6K!B3S5ha^H4BV zIM-^nq~zwu=j2A` zWaAs`0z(wvU<=n-IJ!uV*2K{{WiWG07LLUhZn5$$W|28k6loM0wPL+SX3(gO8l4F^ z1ZbnIx_G-j!KP2J>JrQmi8gIwlrAY&Z?|gnI;C781-{n`tzKy`%Z(PP(IPQfL>4E_0pmGxJ1jv%zpJRl#?V$or*c=Zc= z#m0fX;=p9Fzp!t;0uFl9Tdy8%y?z8N$UDy$_MR^7K3m#;2^>h5*WazJz297Ux3%{D z#`e$akN<7$iGwRvw%-l+k6oxPFVhJM#P||fNQDYnp@vteg3FcA0*P-L*CUpCG@jv_ z9PXVV2}+d&#|vRmJh+*I&@&M#8cM~$syPG=kERwd)Iz38#EOuH>y<*2R%+JEYzBF> zNntl@tX6%bEmCi@sBJd6&91OTDQqzcdyK*wr7+u6kv4N&a(qT!dSQ7=etBYEMRZP? zJ~>YkmBunA5OwkBh*)?;9M+UVippXp6!6kYB-xen+$vFKX?SV@D=~)=mqm}sphage zqBEH>*>rn0$&`kTNJ7cuV4|o%o;6rt4^bo#^y%ctbdo8VV2s0SqfxSGC@;#N9p%f6 z@}@_F8CEby@5NL3i8Vf1MF;kZm91cb6)Cpj6lPL{SpcwOLQ-;8W>jLj+MF1!h-S*8 zY04OqIyO`u6(X^~1;${mA&9AmP<6p{9fG9|3D@F;T7pzdQR!$A7N#zSZAjutj3TB; z7D_P?@G&H08aXJ15|l^@il;)OxEQm992F^TYi*vITl?-W|M~K}|JZ%`$`8) zcHXb;{II#}tSA{dSmTWine)}PNil9C((D0*)F*{s8G@nm}SF`%i{$CLXR zACAG}DW_RudhOZtI-uu(rdA!!K_?#UO)TtAI2{=Px9l4$98j_BfQNmS*blvSL|-pH z{?t_cf1C;O*Cva7z!;r%K*iXsqgd{5S}lHIrud+b<+DCjx^To->g~~{grvx%RGmFurLzfz8Y+Q> zf}jFCe1Idcr{}RCxF<_UFeRw-PGomnIoA#B6mwgHlj}XBD-Va~f5{cI09xF4nk?@2 z&)glD2DswBgDd8H$Ci61)_MW1nBMB0TJM=y?gqG`fAZG-;Vaj>&z!s6)OM+=rlZv1 z1Zm7Et*dN4)qd&5)tv4fas3 z)Hj4e5o*--)Wm|Cw35c`s`i4~PKW9`^J_a(OPXS{t1KzS*0d6PMp;y5nJuNnoKR?v zE3l=NMCVq{X~ZO@!@xij2}Aj8gn$B3 zhItt6WyD_`Hhb{PL9SqSTC>*!Vc3MI+O2B^r)Y$Cnz!3;`914F-9+fIW@}I6NS3 zFt=ktF5g0qec|u=rLX%}V9-~dpl>}uhul4mc(@${xg7U&adAI-$mQ@C#}ECBKiDe- z8OoqbBCWtmdD6iZ=ers^@70~YU4Qyc!>KzB9k**8Tye3y@nm*kete?EYUEp`VOAEz zN(4obePXBq@wA{sntu|_H;x3>Vm!lxJs5!?9?DxD3Q-gMH5j)D_?N2SFNFvXHabYi z=Gf!X3Yso7UgQ#dFj;I3l}e)KT(>MpbHm=xG6)9MTWX3kUfDP zDU|_9XTqW=aCInx8-n1HN#VdRg_0(ggbDa)4hP9#!Kn-=i3TAseDQ1_Y`8y>7f2Vt zxgxAcPLxH^mAX)#6hUJLg_5yU7L_Xq7fJ;ZnOG(VeoG`Gk(e(M^JEHvDnhK*i)Ct_ zP|o5?7%T~gF6NPhe0(?u#iSz{R4kWG5b{Z4AyFhG2nC^hK90*nbHWh}ZZMS%Au;_4 zO#d*3Ul_wbj0qvIf(RT4k?pAJ9LDqvV|Wr6oL zpd|2QSgsiOCkJpv;BbMjPzI5z;cBBeB`>+=RO98Yo4vD>b5C}6ep=gnH@Eh3(wPjh zUoiP2S~%-h{L%^HJS~2T+jID?FekDo2=JzE60V(ZQF z`rEa&cN?qkHrBsi-~M^^@xQM)xngzu?P%}FrOKj84ZD<&tQJ8VWRONBq+SE9)4|K+ z{+S%NIN~>Pq(g}`*EBXbmF=6v^h;p+$I<+w$N^RoB#H`+Wg-&7L*lsTST-V>4U6N# z6L`o(Au36LNfuy}1))hoVxoweAYn#}SQY`tAmAFre1lAEP|37PsY)qTD5YwxD#E1G zS|c@DHYQV^14lqe~LpNQt#kt_p(p~UhcNOC<>AIXV~ z=GhVj(P=`3QAFoSP&hp;PQxoKi72tVb zFthp;*y|@2cE;v5Cl_~tKh8T~A`e?;bhxU;J4?ZN4EIVv^ zA9YYx%SjXy^Sd9l&lS^-w>b7ILGJqK1Yj>R*PS|KO97{uY(F& zpNd^LxMFu;a&K^IXLxFBWNHK8ia|&H-j)8DRVP<$^vtYxO|N%Nt#wVTbdNdu3k*%H zk5BJR&ORO(S-;n{aPjg`RY60t#-<6Q@$q;v28qK2JGg>N<4bu`rA(>SX(O$Mm^gEC zsyQV?Ym1YsBg45eB8~8p2d4US&x9z1ua=j4@p70u_;3hN`|3J&5c?C}w? zDaND>b7~GpZ3-r_5Bnl8EUD6-mR8!7Uf!Bn(VkU#GP|lHr}`9dO)RLhrk3bpvkeJ( zk;w(-ltN=%uGXHZv7`exjVbx&tP*?SiJ0={#Ok)p^18y3vZCyaG@C9;#xR6qBSc{e zIYlC;@P(lqHaeUNl@ol7SXV3hh!u6niu~4$_{IqTRvY}S26k8tKc+&u%8?#oB#4jj z;voI#A;BbU2%XLnDs<|oR7-kEa&cXLZAa0Gw!+eyg1qA7h5~P{rD00 zqkz6~JNl*Du|N2MK}aZy6w21=6Y@%0+b{ICoa<`nykB?vZr!On^&PkCPu{FOdF@2| zrHbZLIiFUmu}s?*IZkk zYLdt>?n?A=BhD?F2#O{9#8Dyf448?6kcAg2Z3~FgOqle%L?Y51w9s0D1kv z!=Zn6^Z7^DfZw?W{j)dxi$L@t6wVz-@+Hv&DJ&2QcgPR&M|Y5`pI-nRhQ@}3hGNM? zJdKQ}5JE_JI0+A9kWpL~mdC*{Xh-a&ux3jDoS;2%7L0Da*F{R#~G#vA^XH~jZt_&<8V zeg_Wzoj2@vKCplANBlz&`XAt!e@5cIM&n&Dp&(4CHwG7g#lrD;To{2uB5|lxF@vFI zv$brtp2adUSrH7nj7|~Ih%6G397@235U_YUj>yH)#7Ht902p69!v#b63QhPYB<}x0 z;C_d|{Ua(2D$&Uj3$kj@ow+_dHud=FlYiUT{$YOY)yF*3&#e|tu6X%tuK0i!9~|5c zANTAgz!d;gyq(y2JG1w40pNgd49EmTEPvh=livb!5wnnwg_m85ml`W%;mVphkhA{|2mOyG==P*LI$Of zJyXfx6cRX@08R?^N+bJZGyDrUfq5*y9J*H)#VwoannQQZW4Pqd+_Nd3StRc)vR@Vj zl0}84l7bTmu;@^D6geb{8EOwFNAf6IK1C^@NQG39kj4l0S`i~$#NtV~GL1}Y)|;a3 z5mC`{d#uPFFOE)-#3m?`Qcd}V2{pCpt*vQot!XD)lUkc?wI{S?C92|LU1e2dZKI{J z-O_l<+|;S7IVsFLK}{$i$K`~l6)Ez{)dl6U>_Sm`4lfy?ivpUxglH>*_a~&q6H~SYr`Vn;EQ1Bw5mx>4ou?C(QX3qJ#p1Ap;$e8LZCs zSLQ-g`9bO;n5Go1F2Spd$g09naWa}?4yMX+{0N#ll5dR?#Uw}*Qx&P1vIwJu&JjbA zdNd-208gjElBvP*ooE%@v=a#V7qHR{;0-pWo+-{n_=gPua($=3jWfsgTE|ldB+T#a*W4akd@{cHbmFrVl9|<)vuiK+V?>=k7l(<@0V?yrzP|(LBUkLF zQ#p!a{avp3YyI`Z4mm!5cb_YMffj$=RQ&^2d@RoSE3O!v0=Qy#Xv$%-7;-coTJ4`+ z?w?-ibD+gq&&*o)^jg={D!>&FM;-kI1|MxcntePo|Ga;2_13LNXFBecWmY68^qNot zABUk};CO5>g^FkM=mMEgs#dBD2A#!jic7SnWm?iQBP=munU={AgrbST-a-CuV1F-g zfFBrz31W+=+89MzS!(n7)AxrahG#bVCsw;gmK@O(gTLmA2TrbVl;Rw4G*x$S#pq(+ z_-fz8dhet4p2_u|M{B*~%e`ZZ_j(^)z181&;ZEDBEA`E1D{BF+XaTq)tF*Sd?QG}G z2M@-kulJ60-t1~Td%d{sRC3;l$k^O{t`Hh*GHaYBHpP&X#nV}_9H}pcMiJ{Zv02F_ zjp-F_S=Fb2Jua{AtW%vCl_!Dw@dY&rg|$gVbxFl_33(^tvMOWJ%VV-CVsa~^^Q-Iy zHP*s9TVZWnZdr0>UTRWee5A%MXP5+dotU7KktH&UKuBP7uv|J^O7zuXUCjVjgdDMj z9035sggl~!AJM>%YLG4(l)D=3sR#kfLVWq?06Hot6bYk{X(FXTpO6!kQ<+p$pHzUk&@}#Upd$h))rkhw$W0;49=nWhO z2ky;7`H4e(H6b36A;*lUqf&$$GZ@Szh8ZKHv&v7_ zoW6JZ(!*P~dwY6DhsNh8mbSY_CQqI{n^%w-X;OyMLy>;&P|#77j|UFoiw*Ka2l*g^ zzz{!>r>FZ-7gq=rNn?p3j0qXJmCYy5-Rth_Xs*k$DpgpJ3hko9x|_qiA_=}m5=2i9 zmJkpuJUSGEL55%AA%aEMYNO(vp;v%{!lBpwe# z;4lGL0vJOEp$Kk>P*()r0~O|lA%U?Z&yX+=6y6Pib%BK(gQAZHp^iaON163PNPwYG;%0~iY3v}1SXmkj;4svG#Q#M zM>FJTrXrXj^{0!#G`=f=c_@VR6(Tg4Bj*_tVzR26&fFUu+j{);-#2!C1lHuwx#DB! z=EB-v#ch6wulQBT&H1f2b6f9cx4xg-{%&dK_3G~P_1&jy+s{`wU#@MuT3>&?x&CH- z^ZoMfPYcifb?(W}bGzToZocg6>F+GfEs>Fn*pL%^zZMC&P43sMf;L8=s$|eSj(0Ng zSTfNil>*A7`DD<1)2Y6x6yFp;WQQ_n0om-p{BUR<7m~yB%VL0YnBZKtcRt5)&0%?G zF}<@GK3NRlrGRv5fFtFB7?ebXC$Z4U;kbAnK8BCC3-C5km`zNuN{Cho$tot>B$QY= zD@nym(Td`9QoCLeX;7LBN~1vmOyj6%Lt=_8Eh{!PCoVNFJ}EaoCNtWSY>7;^+B4!~ z^V1TFauQ1mlgrEEi%TOjvsH1)vY2>9Vv;I7Rh6D5Pf3>~WeDRk!=tiU)?9jI9$BA5 zh{(oiGSKQIxGEN{PlT5??XRmxcAl}4DrvE01ZyG2kR4{prze(#XIC-P%89W>A?7@! zsQ_*$4%U~!brlGGB}!k7(^nAFOwvHA$C}X-v30UU%d~ufAMZ zf3vjles1OU)WWmzncd0xr*kVWmp0xluD_XIeLcJUa(eOEqq)c9GdoiYk7t*kFRZBXm03r{AUo%jHp7+-oe0SI`0alg3tK3zPYS#@|@W}Nja95u3*_tQZ3 z9xVWGJP59EbQp2G^yKsEn*S|Y{2i$HoGbngTKs*k7@XR1a>dS&qw417prcpv0ax_T ztn|&U_Rg&KOt0?SD;|t4KO9~jdbBk;_jGRYMQ`uIm5aU2HRlTxbK|7Sh%memA40<+ z!te+>oe(Z$ix^&fMs#J9V|F=449#32S2hL7#M$o^Pt=2#T=xD9hW5`A2U zIHp0kXi;w35Kk?}I|Apc357_ofpi2UBq)FwMv|yZmb8+%g1V%lhP2Ygl-%<8q;$KZ z>6=<27qJ8^j+85m5J}Anfkwa-Pzclz4B8*&=NfSQOaEhE`5*h*|LC_q#}0WNJLK+i z*xmK8yF0)Y$KBlyySseje(WpI@vl8yzwvVW))(Xk@$y0VA;m&%N_u5O$DR7qck9mF ztL?lGa7AtV&Dz$hHEma_PhKu-JDXd5A~`=jD#2*hatv&kJ`5B|^tO`%VkwSxAsO_* zG+KZ;)K`iEb6}pVU@$A#I~)#Hqd_*DhZXBCM|v=WKx{llueGEVHdnRZI(^~cojd(~ zeUC;SEj?P^>z$Z8ckOy*ZAEOnMaZSV{oEk#hu~mWjGtGCKN#un73>f4_jU()xE?)z z+}jrb1TvE&x5s7FHJ|Pp96#I9o)@jv;=R;pw+JjqhXwBk;Ho7zQ7J z#(6n5bi6AJ;~Io=4TQTw;BFAOdm!8`2-wzf$Kheek%VJt;&BYwi@*q^bKz`$Aerim z#rh!O2m+SCByogHse-4~Nlhk2gjygMv!nv5Qo`0M`C5fg%wsTVp@c9D5>E=iF~K-4 zAaA@wKA{|^*kByp3qt{+i5}=McSo;nycZ_a8%qcXBf+T*9E*!*b3^D%B!!9~P~bQk z3`Gw_QvDHRA2O0|JS>Zk zVT5C7Yz&2krqJP38k9;2rZM64aD=0iloUai!)Zz^TT9@Zs8Sn6Y9-6eWT^?slKS8o zu5cWT!lO&{5!Up|#*5v9D|^rX_xkQ{aK%Bj!(YZ%tT-E>FMYnke+svI>!`D_`P0hQ zj~iQWx3-_}Y(L%FdcL{wVsrh~=Eke7^;hd#@0Rv{n0@}|si!|Z+I=^^@%%w|Pg_Y& zo`jgg3Ml9MHcGvlG9bW&Or-^+(E&j+ zSwT7BuzWr|j~ATF4a#OiayXE@@Sp;IP#zDG!}H7LduN4vXL7u=SUwqyeKPUOWCUih zgLA?W**ruRADJmYW{c5zQcQsiTOh*~NpQttT!{!*D!`Qr@daW+wv3Xdpr**kiBdwM zBrHimO4d+PwA2&>J;lUKj$|jASaAksoQacU6Q{+ivXb?=>9&HL_`Ixy^yH|-7_&Xf z7#U;K#2c0I7Da5VJSIhAPZwCy!_8@2b2=w7onuaCn9@nQlu%6)(U^{_Xxm>`k3W7c z%c~ZoSFsZ+$hI=9wHy{z?iX9(A6pg}RT^wBhTF=Kw(1aTU5L3J6WM?@H4@AXR9ijU zUdJ$(QgzuRRf5o(u1hJ1FRV-~Do!fOODW8Vu^1yc>-N!%g?EU0`ikDT%J2h)B@MVXA_PN zV*BMUo;bZB`z=rbu6VKE(aceMb8$Z( zIrgL&kw_bc5r?4}p-5sF+L2@`;YlMDN`p@0D2EjrnUHKv%Zf}+mqZw;3?2p@hK8aL zzJYLGe^gLV2nt4FgeeV@_}u8y=CU(4u5^#hjLZUDv9`|@pXY--7@EHC=ts7X7PAh< z7@lziZH_PRw`g>7#Y(rs3F6?2J3WssUh8fRw{de|`t-G~>efpI)$OSTHPNYs2Yu2Nx^SIUYKhmxrb*249F3JKHHghg#+2fO z;>Prg>(R&g&Itu2wpVL|v_Hxm?_EF0bZP zdPQqYL7gG9LX}jgiOYCY{ozWZPt9ql~PPk!2E+KuF^7h#VGHOopg&ZibMf z7VPn8oNF}J&5U-{AzicxR~^bjAL3=e`4~b2jKm;0E|3BDNBMb&;lji!lP$A6p{Oyj zs3EzyAwIL%9+P0wY1B%INFreIxm>A0sFlgAYOz7eS8~__GLZ;F26_0o{L$~|7k)

#u2h}8Qr3PUx28U&I4?Ri%3|Q_Imn1mPb0y{O7xE< z2PRVkGwDI;v_KodUlHO1-~~FWCKRkff|w9D76z$R8IrSW%Nwtq zI{)DA-Qj`3nbFDB$>qlbQ_ENHJ!m@Bnx2&;5itQw@^k$<7<3Hn4MO>P!hAdeecXM# zTs_>6A3J{39pvR707sxmst8+oOV~8Fkl0Wr55*P2 z=}ah*01d<77(_asAyn|x2C3N|5gluYj8tgU0wutzN|7N#p;s%ULIB4=IKLi?MkRz1 zk)aHK91n~aJ8D6b4CHvsX0R(C=g%-kO14znI z$his`Lo6VNvx!U=k-{a0@j`Lj5DW_uLJtn11z~6qEDeIE2M|~RWKIArJb=j$U<(2` zLI_tB2#6zsu!Rt&Ab`&Er*Hu9@F6q76ow~_?#ti?vPJN4C5){KW~!hxHHK>k{Kc$ipcf}#vnuKB&JxTv=mje-|w5>eeu87_I{k(_;0uZAc}o0Z#uZ* z<5KT*j=x#l2CnY_qFCSj^XA6S+newAHec**KHc4Tw!QuW(3Yc!_sjL|Hw%xypL+49 z@#jB|?!Fn`czWw$cVls8rkI$)3@G9I)ysSuN%-}*U zB98;lVnNdYv|vCoSb>@Bploh%4iAZIi{>#73)7W0h$vh6r=4Ix_wh@COP~Kvwha3-4F+7MPXE-;BHnVFfHQ<_lwDH!@PGlynuA@BN%}&-wkPZ`_}`2D)PQ;+>fbgEO~Bm&YcaPEJ0% zeC}><%fa%D^6b#)c%3?gPqXl8N*+xtU@FxTgVo?46c7*|790~BmXI8gk`a}e8@00)Z{L67#ML_k6OYf{deD3PYEAp0;<~Qv(#GVRvMpBxB%}o^8I4sx}6l@O*amIuNCr3Kt zf^6YdbAU#!gnm~(Y{D;H{_Vsgsr_g1$Zt?xP0wEt4`o^#FJr&@L&2k(RQ9m4bd_Kd9W}ZBASOv;G@%om>e-KON@)-V*=SIBMq)1Ktw2S8QR-H zfhO>fNqnS}3Q=M_l{8|YH6SIkvZCQ&&%O)iE)3opcsMjVJ3O&^>;ClVtJn7&Jy2Ah z=kKp3qCDUp-(kIXk^H=f5N{mR3kCIrK|FkX+&w(qJiWYqeGo7RUahg`71y7-JkZy( zr#v+#PEH9GV4Xaym5tSM2vQE2%b^q5EGU!XLg(+I@pn@BJ17Eo3g4H^Ly)-$5*tor z0j_{jIS?k_k0bWuNc=c5C|7|JstGb3S*a&Tf< zCXGp>)T%Ukoz7_1>djKQhQpImm?A7o24kuH*g6=`fE1WfA`40cJerUqJzSuH@)S_6 z491nfIASDEj1@{r5*b6O66o~`t3_!sOAT6~TF#NnSz;xfry+CHc(ww=l%kjtBuj!| zOAuTcQlLPIRcM(8tnMnABe5pYGAe>Xk<F%d_KPVX7uTYdr#gEJ$^ATw|3^zmA10nTq8eMj;+#T+ichlJF(S9 zYqoM~^o(K!F-w5V7NYZ|xMC%-P>IWxqcWwiY#BUPi7Zf~fD~$wK#DY|A`Ke2?iZ;r zg-T4J0#l?!6{`^?T3C@9ny>WBmHFn${XkbJ;l*lHnGRcFBvhG+H5O8xKe@q1X|z+D z9rP9;0Sq9`Hd>>V(qJalnaMzE&6HXT8F+KGg;-(2ml?68CTy7*S7s%Y`4db1Nu@S& zsf}7{XOuZu6;6J2h_o(TT_2&V4bxVKXv%|?1tHSRFkxDlBsEl*8f;GvawY@?#0J`9 zf^0D%w%9QLm{5CEh%+K6Bq}t_zp`TMyb5`|kdhM>n-&!k6YU=yqjJP>ZLvg4EZIMX z>4@PwqlJO-lE7qXV20G0DRE>;?AdZ>mO4077oMRGPL>D6Nvsi?pae@)MqpBbGchwD zA=wchL32!_4j{X zeDQH+C>kTWPUG9n=IU_77!x5Dr*IB4^4hDrK zpwJW)l7T~W7-XS{qql0~(qqb7O1qBjIez8xje8RV_m^(mo4YbFb?NpvAcxPcxCpue zq{W5)Pp;VPzBF<3-t<;ar5nSu*M>JcKHr_XJ_NdA|FO$$T}PVQ_cgTj*0yw2x9qNJ z>8fby+I{%+$?Nw9CRWb&Kj=AnrLy%vacx&_SyOsJ<(4Z_N~;r#Dq{1?qH;>C(Wz4Z zFuKB`4NZ#3uF7rfD{4Jdw)=S1p0m|`XMofIk9$v7^#M6q*>|F1&+&@hV^uxJs=JO> z?>zSCnm)NCx#j#9CD|T>#t>5OhU62 zxIV}NG|XTLHjEF8Vf!V}yyGd}Q6#TWqE`sfJB;idLG_8C`$jS#kxZzQ4%3nm0z68< z=E(JST|~MwvogM-Ex+SHVe9U^%JS^ol(dY*#FXUdgtVxn)abP2nC#?;^qA1Zkf12L z-YgSxNkq6O#?uA4YX{`pZ9d=c@Z7P>&BfK-&CSEZ)zixraD|`u4w(0Ln9okQp9>t~ z2K8|D+v(!B-Ce+x1O+GMmb91D@2l=Q)dW_@I@j8Bs;%pIbI*zTJtu1R94l_`&aSUd zF3F9FafTXsK|)kG4;9TtCUB9dd~}u&mnp_42ytP2tUn8-B|?Mz8cR^plDJUL*~a+`mogyo)#uBAVfx#*oc-IQBplZtbqxYFo7H{kRka}v`C7V z$SE=fQ>EtXbyBlYZZe2%k%+oIy)P2zb>c#ln+sV0)Q?nnZXJ5_EuFcM@0FN^>8#A*Tv$N~7 za~so(PsdkZ-GBCe_{rO$$Ik|5SI%6#+*Sg(LXaoNSL=zL4oa7U-r?Z1*aS6tcA<=z z#zCa>khx-Xp#oQ+KNiedMBek zkXawht_$VVgmJ3E*j1sd>Oe-FgWBK^sDsuT$ZQK?wgl3f1E`Gw)FvkoT2mms(Mf9v zpw-)GHCAesiBf5zRa=;~R$iUIpw0@W-k(=zXVf}LHBNGM0K3vAF87y}+N4ExaiLvU zVCUyKxCH@%qCi_4VB9n=kS!SG?VH#a4;$H^1z8`q>qmbuAXaMLV1M8?M;8%LZ=f z*jz37xy-cJ$bwG{Qb)FcdO4f^Ykr{l_#&4H(oBTJ)d8BGX413#PW-WOE1UfpWO$`b*|r= z06TqbmX%oAEL63*{d1EUcfqxqpB7haZ4CLmJp{ak@l%b>zb@bXAGzY!b+H~Uffmdd) zj?7;kUbr+2e97|2*vi=O;^_nDn~Q35f@9OI);! z{+q*7w?~(6+?~ICdm3=XmBELfU9s8!ar8p}{Vi8q9(Zv5&ZC?6Ci}rQjtjTI#!Q>P z#l7iIuDE<}-_c90yALp6b@^v%(MiM2ER54#RuDQnta zRMVAT(VSgev*n7yhPLeLrqt5fxPl6MT)NB_PLr8+p-IuXH3cmPiaU;$cb(jH#ktyj z=j-;Lui1CDdheOazEc%@PL%f^FYh^8(S5Y4>j>zI-AAi-AFJAZyt?~jb4mdy5-u3raI` z3o9ETQp0V528EQvz{3fCUWi@0e7^eD>)UM}+jqIS zx&y8NF2e2}F5aHIAl^F>K06V`=i7QuwRazH={?cVcdEMYL`mn~oaWY)iqhD`@Gy%cSd0%BU}8AP1U4dti_Q?> zGKBa<5k5+U59DF=B!~#^A%?lz$(;VVZd})4-Ewspw-1jXB3vScJ`b+d+Bcf z(A40_Jn)}uaBSwv(A`tlFV=O`1%+CO7*B}X9}w=_Fdi;wPd9{@8`Q_m&&S=@*WJh0 z-Obfy+c(?4`pq{)94j;;rM35XQ)7EsMoOkb6Ri_Dq--^ZD&jENJRX@ZhH%8&n4=+CWh135rcrh*f|n2z)t_ zCj&wN4o_^r$t(o9g{-j9lxBbyM5Ps{^oPqVJ|dHwz(6ttDnnv}lG2Ti0GUk8q2Xjg zwm~Bg4sz7Cv|hgVaPh-mrl0@#aQWp{KhyiupZZgeO+VS1vKaqmH%ZVHU(n*g&w2iE z_RXW&kK?l+CT3nv&a6$%Jf56cot)j6n%$V5U7wjKCaTi2^CiR-7A%zm%Mv2#_o>f?GER3hO#?DogETPdv;T8ov|Tt*3%(Su~10GYrp6Zy*|7Mawl5c{izHXYBT z=4%x~g;XSxD!39IU1B9k%vgyL_={z8MOqp)1dj}*p~JbDa3R*8=BGrt3VgR|$Pk-^ z8Xu_ZZg0N-XzJZR|J#!ff1ZEwVRG&D?ArS!z!j^1S^`|L_HGW8#((09cR)5>@vDZX zf5R11KsJ}|0797havA5+t4&nA*h0lmE!2NnRJ^&Kb9(93-13`+m3Q+iuV+`DPp>?g zS$#UY{(OGp#q{daiKVp%bIT8Am&az8?$0bfoL`<;TAf~9pIdvfxbf`qljo10e#-Kb zr;F?B^J{A}t4}6Zo{v9%`Ec?1gZZcTXE#Qsw|0yIkl30-SlrCgorg59K;jK40(3AQd8nY%SS(?2}h54vLEXIG4X zt{52oS*?LVVKH%u>Dj5-1rZ5p{-H4nql3v4qfl6gw+{y9M?ph5WVA@YRBC0;2xnep zUiZ=N(>E_%8oUGcY8+X1%^ir!U>zcjRJA=fV26JvA*|mCfzd?Yrx`_B8G}*mvsknf|fc z<7=mGJm@@lsieNIu(}g)MQ&N`mMhYWtI~?AQ;VyUi>gDC^9&&gB4daxIy<4Tv9RS} zaodry&J*QbrvX~j?Z41)=+b5`)*rl3v+qnr?}@VRqm|vqs=AL=cOR?hJW|$nxU}_f zW#_S)?h`dV$4lA|+ZR<~!BR^;SmWu`_Ygqy?6LZ_A$U=rH>l{TxwuH!l6=tt7_x6T$rp45(JO-F5k>Kcp?k$MeZuK}CK6PPgNxZ5jXBU7Ul3m0lHRhv z?BLnb-hH{X6{*>=sTuKUnOPaxC22V&DfvZ71^J2jSqZsm30X;@kwIpoTE=5CaVU(3 zyVqA=dw%#B`r6&$a|1V8`r0F60%>G8!h1W?V<*aO7sA~I=IQF^ z?dI#_2Dk!MF*r9umg#A715;sS0g)S6 zz=u*jUTlO5O;Dj321I0rih$<^h)@R=>EL1=LZU}WL9SpGMx5M$mFlo!4MwQK@D&)Y z48xUUxe6RtLEvkNLJLXkpvfF;rGu|=u+$E!+D=g0VG5hO)cU>H0#gUDEFl_axY}S= zOT{V<)ga;dtL0%1|GFl?72^vZ|8?foKTfQ^+uAO=)n#(4cLOkZ-0aTqYG&c(R;D*! z`EpSCdEMst;_F9??;b9Ge7N|-qlK4`=GVvPSI6f!z|zgYpmOdhpo^*brxPo$9zA_O zw*F>hVdKuk!uiwZ+VeAVRP0nH$4qI-(R~m`cCUT{LSf(SC=m^CIQjwWjXr<-b=(!Gh zj)PX z>;1`%{?ukWt;NA;3!t|<$sK`&jzD62Af+vc4k!iqK8;Ss<~#|tA%N24q_zb!cZYI1 zLs(e_L0jil?DR;Tolt234h)~G#(}F!q_{j0E=PjTmfW4r7+tUyK0=Qyg?bYn+`^D8CAA_#=u(1Aqe&b75 z{PnF6z!mR*>Pq&R7N2j0{Gt>m;EHLmAMT5(FBa{5LdD{Xt*&I7T|~dA3On~~d;$2{ zmov++=U3h?t-haJcy@1c{>J^Wv$t*^Jb!Wb;iK&b4!7+;*s^zj>%Id(fajfu4tF0t z+I!;op>tHi*rsc zKc9RIW@7m{@XA(|t+BavutNCs>gd$U$OMqb!{cD?jW2_`cm$H;|F9jh)(R3e%m|$zP%pQdbXKd`Vz=9ZLc(I= z6VkGhGIE0=6SUS~zD!4Da8U>h%-0u>fY5L-9vv%@uvA7xP;78vUCF*P2QLg=zj9~f z#_-(DdrQ}b09VXhx;1rWaQut)6`Lz7`oTq;mv2A3IynBx6{B;5_rVVG!0&Q%6l^4Y zZD{Js?a7lD?(99h>5A4p)y$(KTlQ(bA~roQF}ozSpem!JJ|?5Y8Iz@VCWIsvrQoko>QA#-{Yl>E}9{G#N7f|SC%)PkJYq`2Uq0JBylX3+4yJ|18FchB#>@pjqi zJ5}ryKU2t=f0Gr1wbv?!6g}Ey>yGaY2?S4JSrQisJ#U@Jr$# zQh1mYz!g$rqJk79!`qoK71mRUa<@_ZqPfU8K025QwNN}w41`@S4)qU7PcCd~-h1-g z;5Fc{@y^V^@a*m3sT(8rFAopxKC&k^Ig-u7qam(HFBgRCPMF(Hh{rA;Z#OW$AT2!H zc5MIl4`2P}w|-tQp;!|ZlNpId^Mb}Mv3%TnF%Ykpu{GazyReNU;-mTU_=Q_7@-L(GUJ41ywF4tn216%MP#K* zY*eWoC$htZ4wx_iAr3@IgOE}uQtUv8tq747DKa62CX~pC7Mn0YM0yke6}}Py93D#s zXG#$)8H%GsbCrN|D119j5X_MTi&P;>eXvj$#MB0ov;h!Rz)pqZ?_~}*xecwbvQ^*` z5xqog7Xf2iVUS85VYSrPw_dtCHUH!Po_+H#(@%b!di;8N^PV`6%}c|(*~jnZ!MtC1 z{B|qzkKfJ#pMCtr<>RMJue=*y`QgFJ$FY?k#+F}>Ep0qlT6+kbgqL5BFTI|ae=#}x zbaMXLc&{LWcL>2Rl7fh1;F8&tEFrr{F0RmO zDm1b(wV+hV%#)Ba1lS}FESU>U=0j5i&~z~@ONz*oAq(ZePr;NZu!S;oz8IAwLgq-( z*>Y^A5}&TZr>Y658hoY(o2$kYXfP!Pe1(}*E;f%I0MoTEYIh4^7!EB9UHb=6W!dVSr?1oTwV<@{h zl-(N2>Ih?XhcmiD>A8i0Tjy2W)JTJoRI4Xe>G0(mT!ji%BZt+C{pzI9S_Ps?jj7ZT zDh!lzGqcn{Ez%P6l;|Sxevo&S#D}nM}~A4LR__Egi}IK4m9+2wmzDe{`fEd``O38%s>AyzWQor_1)si zkIO5YuGn}#|K!d5&r=q^TD=KY;M{V>FJ~=&(M$bjS1i5&;kwztbZa#Qh}ES{RDdO| zp8eFFd}FIq`GeUf0E2D3n#06Z2p9?brvi^<1e zCYFH=gDpjVvEAc8+4}L<_ey?V>bcdt>@zAJt_=OBuGpf*-)JT>IzKovH#j^!Fft2n zG96pGc^??*&uzKl_Q=%GrYmj@&)giIy?KB6*29h4kDh^@psznTfAU68ZF^a4QnF5y zqLZcS_$hjJv{4)kb_g`uZ2tZMPDe->;EMRv%!Je|dr*{AZK1Ix1QHzuMQ#! zQyFRGh5)VrP+^ps)jWfYZWWTk`1nK)CWVQNqr)R8&``2(7|}Bf?;1sNO{BYLaJ=G} z-ZrAQ1nI5da2!D~@x`s#tw&4uovS}}y=>2cw9#rNZbfQtSz=yk zN?~b6Nm+Jzd1`icY;0_3fKw$BlHd@xuYc$9{nsEQ{5*Yp+`K$@xw~!mcHIGW-HCMB z2@LoqBuD<9&iQIClNRm^DxOGLb9BgtRcs#2!ULLp5Udy zc-Sbu;cR#$4-v%j^QU=PSa7?9>(p5iqtol^x{sZ`4g4$L7@WFwXZrT=WdHp~Hy_>a zJAF7gJ4qyB;88wkA2-;p9e%rZ__*!z^mOwAT;b#D=jZC_wr$6^U;W{?zwvbSpinqU zz0(p978n*085?P`nAscw#1HN5hx3Gz+z_w6r18-}(6Mcs*{>_XFAF$^~x%MH(QBl6tI0&kkckEwui)DV`^ zmnrvS$`D)?R;VXQOcbe!E;F;_7M{vqsB;MQ4z9+=P+G|VEkrsbPlezrQ9>P7V!}u* zNRb&PFhThyxWJ4MSdp7S@hxbc1;sTZIVKF(LJ-<15+_+2gcS$DML}?JFiIMVRfJ>Z zp%_^ZS`vT~+fYI)l5axsjc5TF6kmtnsbL%ij4g*UWe~aq#*`yCDl|`v=b1@72aOlX zlY~iCVOnFD)EL4w1W^r6sMfhn?fh>F=QgmhrjEc>hy_xAu_#)`kCcnT6p|=|zP_gU z;+@IaAOC&!?f;y8_NUpkcXMm+fy}S{0Ayhu7?XZjT>k)EM3y(RwE6>(Mc`ALZ}|M4 zc_14fW;Z@eu77;E{&8&Whq2XHV=GU9JY0D-zWT$&$`6x^Z>Hv6OwGRp(X#PjYW2+{ zV5~Pbed*YVj?AQN2{nriE0v-e^|%HDrb-JhR{7@1d@_aJ$z1P5wqGI#k-)*mvhYz1 zd>D-oOu;+JI0p$ANFjzWs1a;t43C!}5~WDxIcj~0$yVbCDYIA$^{Q-@AXUPM;}as7 z$VetUiUo~kLE<=&L>@GS4@=|2Gx*3%J}QHcO6Q}~_~>*oAyZDtQqeQjjC2hnUB}4M zGja{|0u#N+!YuJ;mD$+kc1{Hl2M|`JgIVdIS2}2wc1oq4T;(8DIfyj@#JV6-V+gr9 zoYEReYmcV4M=@I>SWRJ^#xPD(6uTvs*&NGkjAqqGup7cTP2t>@a9&$Dr!$<<9Zu~I zq2&MM3jEY)qn1*yCD-YQwR(Jm7S*Eg>yUVK$h_NBuvRU))ktWyQraBMCM&64kE&Mr z)vG*O)H^%X-*)SF^_ji*+u@!5n0hO*#7xaJFypnH5G6m5Pq9-FR+OiO;BBV*8krC^ z(MO8%5W(E_RFqS~NO2nWcC?I7%>4M5e+OK#@M6;yEAJLoJ}$5P5xfrqy5jBp#@qR| zpYsJR-fcDwdH)kF{$?-rpItExxMJ}OS1f#LL-y#WWfh-Y@u?;H{HMtZ;2Q$UU08Vs z{Cy5Rm^*U$TJ7H6_~LwZa3Ge)MRPe=J`X1p5XB<0OiEM887c)+tz>Ie$^d`=nDB_q zghaV&PCK4$h$>#XN#S&C}X7p{bD-9d*ZV zoWJ>S^v3Aq^?M7~hL*1kEMC4f576Su(9~yFTpb#}GBAGm_W0#n<5zBv1FpDvcj6Xs z!1w3xfIU+HGR@x_owkp5e8QgR5Jm8ADmY&MS_R{*sy3X#-gU1e>yK?Nx z;Fs7=yy{bbkeHOXpToR zFK9YY(0HJ-?Qm1qu@=A;-6x87pUiDPn%~q@P}`VaQjnbzl@_8+unHn9BBx2}Z;)6t z0+W(smC}L*_-HmVmH~~TL&NCMP?}#j)hmMH7DEMG;hN5Ji)VNQl6|!}n4ZrM2#Acz zs!OZgSJHE;@x=AY-hRc!~(cke&DXUi4)&Q|U_Qv$f6_egeIZ+byda#U!7 zS)QPzC-C73Os_-^GzoMCF-1;F(U20)qUVtlt7?2Pa*n-W$^tN;0b`jI2 zP{)MCRaUhfK7AATSH3nl(LXdfFfuv#XmV(F;_#)@*(F&jjgU%2U?HB+o!fnOZ1Z&4 z>F(j`;pOTDmigN0<^H|v_CM_S`tLnmT~R0^jV_-)NkhnVuY!^J+4afEX zg6DV=c%DRo7g_8@k$6+(zH}vose!SyFs2&HP(m4U6kCDgs>lL0Q>@|3bYi7mt}&?e zMy1XuR2!LcBU!8`2(=iV3dK{R1sb$ahZgCPLOon)fD4UCu?Z!y0NI>*Fd~Hpl+cJ4 z8gXJXQRYup+DQrrR&GZ~{gE;oMj3!t2jW!$IE4)>wV=gDq(BGfssT%&_!{t=3p6Oc z8UPG}qlB>)P?j7Hpn|W%3XK?{6(zJIgn>l4ldTDmnH(asgKKp#Y!0N+=A!ohoz&tA z92j54^wGP2op|}rlN%qVAHUg}uh^Q1*eXge z4-8RP-z}}aUtHM?I1~PU;g|LRv+-f>$;a6zAHjJKfDIdOrq*9ft-qYv07iEIFu(qf z^D7_c7v3!_y<1%Wxb*xV7M}btweaNO_}rC~r#gZE$_i>aA6BG9)tGVB7EFl|k*9^E z%l+a7zTsdoG<1TPnW~a!=nR=Ad$u(sCm=E}IIbWfxhyUNI0ZE4mNe%TH{}&J~r zcqvACZlJk5Cb&K&wjnLPF(a`tGpQ*vu_-gYDKoYqJ-R+6qAn?{E-|z&F{Cabs4gy` zF2+_HWv&U=SBI*rg5*_BaixP_Y3EehS(P?Mm7QMWVAMI84NhjGlhGW&Xm-+?gDA}* zq^3|}V<@>Hgi;?uZ3w0|1W|$4+k(g)!KB?m}$i4dZ1YdYfpz2EY|$Ul|q{0eKnd7{C=t0s6l7=JAQ?kAM01=O6#F z`10cGi&uvpUl~}s za(nU0!2Gp4GoM{?{qE$op~@^S(?5QGU~ccpp}NkK*(HE0 znsUnOKD#0^Dk&~8D>=Oo7~p3X)MOVo=9aeQRqQUP?k%d_Thwr{r1?lG;EIk@)m>+6 zd(YSOoUQ3TRn>K(to>-o=C0DhW+3|tTJ{yT94Kr#T+({9rt?@!_wlyg<279;3OY_? zwj9ZB=*g*R$}K6%NsG;nFs3;qF;+>CQDW1Hty+;qBlK6WoI*k<6BbVM4P!t;nb1%s zB!b}`#c+>hxF*qer7?CU(A~mle*P4+zewb?hleJWCzW;=w;yjldcC&ia6xHlQcQ4s zWN2bsLSkZ0LUMjwYGHI*QEGm5K~-x_dtX^?YhFQldUA%p!AQrWUBCG|*YAJl?)tTt z_xE1j+r7PZ`g*xQ+}+@=ZpdA3a5p!Yha1Gx9q#Uia&^V-a>Mx{@mM;UEjNWErj@rg z95~;$|6KR}GkyC`ckDaeu=h;G-ZRC0C-ZxcWq0h$C@M>hjY{%YC#hHo0$3u`Bas71 z;$xG=q*MhdRZB|N5F$mW04CH*_O(%b>=d5>x{s6T6Ugy#@(?xw)hrT+*+WZ98xEYh ze)0CBs{`ZxgA;?JQ+KCkN0#SL^6tZo784xVyM|x_El+ z@b=o~?eU%Gu5UcHeeLPG%f}n$2PeabOeB+s5s5K;5tb>!kOgR>5P=iGu>x-_*9FJ= z4$s_1V(p-Fc5(P_Or9r=<4tBks9ZQ*h+;~hG_f~D=uYB$k_0{^fiGF;M-ll_B)$}x zFHPx3S3?*&AW((@4n_;7s}Xbsh9SeVq*RWCCzQ$LN{w1=(5fs3rAeohsZ?yKhAh+& z1!_EBg#}!}2XvuE3e*UJ1|ifT#Rjy@h*6kRU!Z}hTPk|Ny0q6o41N5mUr-)`2R__SUQIRAtD1Xte7J_c(aEj)g=c^~B6 zA~<4wH@^nt{gx{hfoyzOc=BQ4>Bq&VKQ2D|<0AOv-Qttii%;J!Kl|g#i~q6m?0>GT z|I_2;A6Hg>Tz&da>#zQ0<@ulH9zUO$TD*GpOlLuAriPX(hUIHf#JJkn@TzcUWw5n8Kv(LoC^m}=_1r=ot60w}HLxp<%z6{8#Y}Fq z5L&F*CVy0;9oZOwZg67jfCOM`Y?yinrpbY84Is2TNx6le)>q)B@7I|bRTg@Mm0D&a zmsm+f24aB*U!*0M7?|ZoUX8!7(J5*Rl{5vg>&%2o4ZKi8XxZ*vKEmwR&i(k89 zixyk1nEkaYo@hA5AqzWHb3+9$k|)jRqe{)Sgt9MsM=xGE*MIxky^(3OHpkx^Q!N?$+?^;K&T{*}+X$ zT)#6n@L>Jk)a#M?57!1}j~~C@)v~81Ge6hqNR;zZ)ZBCfC*91AGKw4qg~@0L2nvdb zO^8WK4~>ks2ZZVL{(Qayk7L201RRn;#o;*=f|yNGi79$DQ)dzZt_VqqtlHgpX5iZ3 zxY@h^Y|HM$peq_$i)!l{x_bIfo;iJU=-jRQXZt74 z-kRNWe5khLWL9zerYmZ5%RlWijfjkoj!lV6%uGzp%gCw7D`_gJ?kcYCDXQL6RI|6Z z{y=Hd;j-4_740XhI!{;cK2z0svZCWySv%l|gGJ5z3mW(3H}1`A?8|HFD`?(d)OxtI z?PyKM(dOMpTe^-`b{@@ZJC@#jIJ3SdySh22q%rf(=463+39VtdE3J>yw!NsL`7^z8{W*GRDZCdMfiI4yyJkvXwB zjrolS8xLNo>pEOiT9FG_Sf*Z02OJ0RXJFb`Ki6v$m3a94MzyBoyA72)oNc5}zO zd0>3uCiG}sGeWzRYp6T9qrf>h5j(un90ax^$F6lc}*moj#_ra{P>a@g! zGWr+fmGvAtd*aH_nJYsVt_)u3zjI@FWMJ~av8!i_YYOZE8X=EJM*Bi`edoFD z8@FBCcDe0x@z~|&vE9@2doPdgz1_d}aoy(S=Hl+|?cxr1g<#!rBo8{nkI6+bMMRby zPm^Iu5;R@}!SOt?tesez3yJB*;COKPo-Cdho#Rbm`_cF?h6u@&Lg^A;s>q8h^r46# zR56S$fzoAAx&lg9K^YntQx9VqVN4^8VT93*aJn8z*P<9IEJIFUh^Z_gPau}dq&l_C zsFhjuQnOAfSIF5SC7Gup@l-^f3eQuaxk?0A0RtjXK}8z4M2C_au__BzWk$&jaH$p{ z1uI#@NYI){Isg(ToJNmPX)tOHUaKeSf!7Uql@=#cVZ?GIUjpZd5F9az3k6fk&YMEwSQc0Wi74UE%m%Y4_4vuto#Ns^vQLydV=l%u4V#`l__s z1WFiBO6Q0aEM5?gohG7}OUaphd<+X6$|06zWgIzw?e3EwN7vpzeEfQ1=~KsZ@ZR^* zrEi9e%G>!Ba1sM>#lrfgD>gnZJ^}J0fQsd(e_R0|@$AQyXFsew zeG5FUz4*tCSO06{#lNm^{CVy1pVn9Z^yJx}pT7NH>o5OlVdd52%+j@UXF7^fGIZ2r zDKtlqEVbi`9oQTzI@O4bQo8kGb%(<;^pfj*Kdy9>K`AxHQC?)=-Q33i&utE zow;@7$ff=J&g|QBVsH1+zK(-?TKal{(^hrs?$X-!ywaA8+{UET`q zWYv^dHD&(lDt~38zof&)-)&>H*=Wr+Qlp*N5J0RCB-J^I)pmTP6;ox!*81ZbY=kB| zDKr1`y3PC57FvacTJBFNwULXgswE(O@Q@=;ZnghAD zR#Jr)QK?4OsL^#QY@HTYtH;+E36*9-nUzp%BV?IK2^w;Qf*L8MMu{oWLQ1HZ;*?SR zzkU^ZQ`+5Z$=0{UQj;x_QRx|JMa6}+^);Pc9S0BZJA3ZLwHp_Q?%o`GG&DXvGQIEsoV!?= z1eme3F})1-YM)+xGra;FHgL=@$CsXeTJt%(J~|C{M7=lp`0mduF_yk4Td_3si55$P z50{4?Jq9GOsf$mj093G5t>RakOox7z`^#I`-yy&iqcg*!Q}@PZ?><}{8V9}!SatKp z@cgaexxtayyQ8xM!*l)MQip|shfjuQ-`-#Nc%^^p@cs*}m93S@={Yt_l8lq8<^Zlp zvv8wKV$c;PLts#FR9sSQaz)m_LY~2T`XlN;_scG!)*?;EzrJ<3F zgOASjPoBCy+k14NrtL&lNn2J)V@_#JZrP`PrlAqx!QtUS;StWTh{(9K#Ps6Kg2vp^ z_QI;3()#^njR(t{j#RWBt86=2)p4eJ_qpobr>nb8R&^h**nO<5;~1cb;w zcz9xddPPUYo-^g`2l7iQG7@7_V#5<-BjaMDW8+d{;&Y=D%2RWj3afkSI*(K~cNJGv z<`iZG1zQC?3dG}kU$<{J^PQjjcTmsoVcy$d9^0XAJ7K$Ap{_0vcNd6<3*5sM<>`U- z@Ba%g!R0$?shDnv7f!D(Xm;esSN`n}PUM9R}Ak{aT1&ijQ z1K9)kEj8pa*w_O;i} zuiah0cX0<@;p)EA&3%W5$L4YiFApCdKR*Zp0>{CzWE7Q-<+2G}KA9_`bERaKm_QSt zNjw;llEWzLLaN5;-aYSB>SVkzA!8SK-Z7c=DC*0+pvo1C<%kDl1Oqk5!n#(iRc}N~}kT zbZD_2D>dR37J|}5Q0a*(4PK?es&r_j0j1C*d~QqF{?4#7eaoQ7Vm> zK!M>1nGBYcMse_Hi86YjmYyV~gz$(C0j(r6^Vq3N_m|&1T7EOR0?tlM17|-_7teun zK5+h@dHi~Iv-Z*aX6AtB;D?`30g7VdM^F?`{`mhh_SV5wW$E63U3ur;nN}p89Cvqj z_Y-$_Patl@JrE=W0zn&hhX5f4#NC|;-a^xTduHx$rs}tMLihB{`_EhTtyL>~uX92; z`>gd@&w6BJ2Gr>6yA8b^oq07fy*4_tJ~sDmeEx@txgRE`-cF3IPfom?p8s}s<)_KT zZwE#fx}FbSJ^Rh>jMyYCC0+_mH=qhV2n8O5Oe-$MfQe9HyhJ!H8z16oD#^?_ckIHg z%MV&^cXd1(Y+R^D z>g=29>Y489p8mCL#Kgn);d_sIZ{L4@`)=2*+a0%Vw%xk^_~w;|H!j}0cJ{{Qlb0_x zpFP`n{Pe!V$LsbTsi-+vTy|hr;eq^J`}6V|a^!m~u_-zFU_#iwxPaX;J~dJ9 z6%m%w5JREAD&I?z=Pt-|imWKLPWKG>@qiUfdN&lLzZii)fz;V9$jh1m%EaR0j{tRbIin@uB=3N zNwk+XEzG+pDXKOrtvEe7J2fsjE-b)e(6N{TC`>~kc!-(Np4x+Zs-E@qz5V#NrFS1E zUc4IsxdQlD-;Pba8=iVKIJG(eMu@Bo{xeZ*7_!zkO%|Ij76YFOo~~^s%lc;*i%(nu z{Mff4(4`Z20!J4CoB)>K=fm^e!}FUq4e*)#RCpZ(58$naXI_pkynXU~;>_iTRrSYX z(~31dk!XPi!Bc}~J>a`3(4ho+Bwr8XYF$_=M~2*yE_b5KoEdUJE=)iQN4nIWDz+gD zw-fnW3EVAswk?V4K>fu5$M=`UJTJMfk-ehV96R%_~SO zDcez9leKqW;lakrBh7n{pE`W{+^KVyFI>8D`R0S`Ep4}+JiXKY>|SU0gQqU|KPj+xGWu(;}GrS&J>lN;Wf6X1c! zhFj+S_R+g-V5+N)3SwjbP}}IHTH41RbxgE&PCo7gp4+jOwvm>$;fHO558DSGbq+p$ zHq_cZ-12nzPRG#oCquW}hVFs41|NWlv&QeVO}0Fre=@MrKD2uEdgqb))73jl3d3SD zT}{bKZi<$hV&o-S1re?aKUcknhnugjUtn-pKuEa7)l()@u~~c)k%>Z)5eOoMNE5Kx zDiPnH;Ja%1o>r;1pUF4UFD_?CP1C_EEe{`c4*^_pr*#Ct36Llr4&Qz}bmz%G*(>gB z*eh;51k?ivfQq}VeV^h%I!5lc4c&S&aOFYwx$EsG&bJ&setqA;Gu3rXWmWqN%WLyW z%4!=LPh7ror=#=6zsMMHXN-HyDX z#H6^WV9zj5b+DTxz|0G@@IpL95x(+BZ%Md;879Gn^I*|j$9RrS0>>tv>k!9*#B!i9 z9G7U0OBBl~f@K%R+!n-zddXQ+oq z;qV2_?kkARHmL13sQq@B!#0GYE!x=;3vot4pfD%`j>JjT=D_G3S!Mf+_Z+Wjy0q`) z?b_yRrH3vR9z0)q=tB9?3*}AU92WQ*=aS zo&hTab~;A9*npGhFd`L-FT)5VM7fHt)w6U)hD=Z8X(%i;nWG``v^c&F!PhwP)wX=q zR)OkEfoh9L;{ScM)g zGs2`sm<;IXF)|%drlU)>RH2r{)!-Q#G(&@AYv4Ssqd>Dwr2Sl?{ZeMyB6qh@`a5ca zV5Sg^TR7b-SmN)m5Ao6jdCCLa#eQyVtBI`EVnhlGm&c(~q!f&sfE=!2>~!UZYuTPs zhDFNFPE9?1>SA~QY~S!A01v}6z;Xa=1{c8!q+sE&r2#PU5t#dEXv61!V0^iMYGwlZ?}jE{1Ix?CMwccgUQEut zoq6$beExm!&|F(b@5PfRYIa5@s)_MpmrNb9#GP2=PRub8c4)Ct3WArIqTw@Q!$O)G z4-X8D&(6PCT3TOUdowe=(9<{kptb$n<;w?~8cVB+GcpomB7OWk5P1li9t1yktRCU#KyZxSQ*I)O~+3^=o#%ATNqk= zHM#cv*o*hW^KS=dUJuQ^8J>GPI`?*X=FQ;LOHdoNFu?rPnC@6v_a7tUNicjEH7Luby`A3I&$c&x1caADQ{+@iYl ztcv86;+W|C(4cHTj|>mfPOEB%QJAV_2gH5yuRuR*&6Obw{G)}b!ShWRH=|L*75(|ukEG<6W zU6>kRN{$JtD9Jy5^vIoC_s(6s0{r3C^#|f36HGh>(*`ET<6VV}C@)PzebuwxzIQ+W zZTbCAQ!m~P%>Y~heD1GDrrrz#55PuVtRdiGnEWTA*l@i0jVsoE)$fyK{R1t2e&ceem1lK{EDfiZ9v8Wm447Bv(yb1TAl6cpXuxc z;C2!q+t#k}#~ou2+ehy|8M*U#=x*!qz1EQjZDaS_#_l~C1=TtN=zc3e5o3=#CfmBE zpL9+=Y8z_-hYfEgl4|K1YJEP?(bM1ZY~WVs;N`aA8(^sB5Ln@~ef(a>%)QR}hdqm} zgD;*8E?&O)=ulZxMR@iupU@nWE=|SRp#!-h!6J-uR|k7p{CvH9eSE!r{MkGGqzQSYW!7^Om$Kw~kx`Gy5XWW*#F?aZyqD{IWJI9yP9WLNdEqT18N09Wk0 zTz>FUWz)s#=8F|aE|nd=TypSoQNx8@2LQAp@{D&Lz{P@0gO6dvLeY~@CH31b3evA*IcGb=()h!nu%xDH9| zt;wvdiER5g5Gvr&9C#E59?5o&WZ6VAz6fU9dJ1ty8QVrG-ic^vj z6Jx{Uq64BLy`mz+qN3BHW6BazYj)(-XH^_XD=kef+!2=>>=$9u==m%vmW+bn9PJQa ze}&xkIm+&jXs16Q9R38g|I*oZi;LY>2pDs^72#xqa&bUIoe(Zg5N9U{1S*uMe1cgJoJhb|X30JwFb=Gdj$=5qyg2a@v&BNF1me9ggXS}-3HE`US{ zp>aZ3q5zh{hb0S;F%n#elHwyLTi7Ty-cg6K_b0&;nAjvXA()ACWne5qy029e79J25 z9poS6>h7U%vx+>dLNANJ+sO9PP`ngaJ=cYc--2=e1H|sXoa{cgv)u|1#dce}ZMF{E z9U!(YNIN**1w%%Y=wR`34v#MoNF*Y$L?jdo`63~c$0xHnSUL+uW5KB`2$}6d&bjYK+Q6)L4lUBay2mGSx(mmdMxRgnD4gau#Up z1nO-<_18l6c8LzIw34-6OuY|N>%&re)8!r{kp;^&0KyB*M6oMbYNaYnG?kvD)T5;a z7m>+XWP(VHP`MGUFp?BTrqale7${slfv&|dbr>!HBzlNgXCu{qA=iAVFn+CY+p6$! z(gvc;VHA&Oo^QA!DA*M4uMPH526#$*-S`$0ORb@bWGoJgN5zW?P%|GFtYsv42!ae; zi=3sC@iUTBPB)+JeL6lcI5#r6IyV1mXnM5|*Y_q5v)qPp=M6tqe@O z0A{?w$yKoa)XZxDD#qsCjm^CuoqazFKn1vs1)$>n;N-i(iPxLf@4+eHJzoRM(8$D# z(b2i_iKWT8*V8LM0x#?yn0egVeXhB=DkUsIfr}S9W@!+mZUkTv%+ur371(GQ(O1gQ zOZdt0v8T_RnOT0Z{_f4Iw=dtkS(%&~ZtHw_;p*9a4YhgsJE9_eeB2az30Xw4=U}$d z;9n4(|C{3UCEZ~=)6P+h#A#?;t5EHww)$KAL%bvWbtX?f+e(JJGccZ9LZFgUmYaFy z=H20yZ>QdTT>Snos~`Wi_}yP-UjIC~_HpLr&vUPTS$Om3-?RwoFQDH3b@A>00$OUL;txZ!@B1cRKO0`{=wEu$Gym}E^!+DeckcGzy8QIonbwQP?|svB z{n-9sRF z4ZcW6++`q_7%3GdN{yMi$DOv%m);P}-0ep#b0_5)aYcGWrOsuK#;(rjQsauQ@*%gb^=>wfy8wFStqze!sekF>Rzq42TqY~M_=(mz& z|45Ss+9<&65F42yHn?JR{`trTR1DAcZ3yT9EZVzaz5re_IJG{p_-=mv$E)|BrSIA; zQhO138U#xUY%!b|0tib2na=f?rCm3c;?u# zD`(E!zI>_W){VB7dr#XR^>nun4m}+ie?B_XJHF62vD7yX@D%`BpUCRj;LOwh=`H|S zyC*xIPqc5)#lsE&EdWj!dC)%guyf*J$3#oV_=EQG4aNWfW2B{hthIBp{prk;uF1#k zV=choC&1Qz^mhB$gU;dBX9Jzxy$_%D-|QT`*gkxO*x2Ngs#TyTwKI$56>DWxz zHE_4Je^WsJA6)UMcY`Z_g9`927&F^3yulSCcREIHw2xf8-*ftE>ydA69ca3+yZ(4Z zMMG&>eNk!cu9C`qO-C-=y7^?F`)+&hx$C`$kN508aHpjDcvfL$W`1cVz!h1a>W(Rl zVwqkf(F#NwzQ$^F^$qq9OAU$1h)B$h*-@C7S(chtlToxcx3Z~l&*}1pOI1ymYL8vo zeez=Uv5VzR7fTv16g8YHJaDF9gDbKt_Gc8=rRG;9W|t*om!%ffXI3}m?m3ZHcch@U zF|Vw4M|yf}WKg)DDa=b9>LvDBN>!XJJWfYI0Bh+|%Eym8542@-BRC9Wlw&rk%vO!rBsJ-H7A@OV%l6Q+ z+|?{M71OFuomM9c=7jHcki|7o-goZHFQ_5NXbI z4wAtoFuC*%(U@EclS81hF;pgkOovk#a2g9nW5bzz1V@Ynt8xIF6d9Zikb?}yl0unM z2wei9ib0P}ngmJ*uE=35#fGs$4RQrn3$$>y8p2XIGi5NI5+zh)q&lojk5lL|axgEq z3t!>Hl|w~Z6bKtutk{I%>oGhX4vfe!;iV=p5=3GE@BphY5!4o%&Rt;iR$2UY)&RZ5 zUvKu)8hw;{FR9K$q;=zKTsaymU1cUJjA)q-AvM4y7MR!_CUJ+$+!0DwjLHhU2~}gJ zDoqrzk<8W8ghsZ^!dJVoG!}~5fKh9Z3N1`#a1k4k3U`9RpY9gU^$HdF2Fn8jWC6Z1 zKX0k8r^sUBsa0&Dh{t9Ks5mhJX5!%j)bwaqzMqzDk}x!4PFh0ZiNmL!wU6}m&jQQD z_`=)a>Gi&`WniP!JG$6E4qCZ^4b;fY`snOSpdFrG8wP)TIX3%xeD2No+$L9S*ej;r zZ0POi%)8NJ}H-Q1g>UVH~&!!L8|Kh3Os1pc*i z>p#x{bg};PETFZYW;Qgv`Vr8~D$x0)sTV&^EPohZ{C;%)yP=u)15};ZW`wu;Kz(Ibch9Sje_ed@VPfeun5P2Fh4p%P=I!Y8>#?bq zV;iwT8(i_pq2f2F_`lHNQ_a)g^ji&)PjsL-mZfIp7RZxF?7&(Li5 z;B4RM;?UIE*!-LRiPet2SztA+Z@LhckjoUCupAYfBX{D;oOyC6UkMke5&TaFB1kUi zw+Us+5F90juOW!^WT}y+urSrGG`Wc+*5LpG;mVN!jW9*Pz5~kBLj-1Lp3#w`cVKH= zSZXLsiD1f+Oc{zHK`}&drVzs9JF)l<9DyBAU?&i|h{Q;-1TT}*RT@64c;q^)bXrE}y~=jfG=(HkA$ zfyjf7f%~09_n(g3eKvmo`NV_n$@`t7rw(7NNh!`U24x#9IYw!Yk(puQ>@f3_EaGT4 zb%>|g$HUEHGN@Eap-{-6(eP+A3I;=?u~*k(Qm-d~xRD0rL#gX$Rjc1Dwo-I0XX4n2xn_Q7zRGXYz5tmUElU|fkxF@UT zNWs3-Mf*;a?mJdeyFV*0FF8IUI@m4BPaokS3wINSc?iQig`uw8AT7mTf(hh7!`Ked zjO{V>?GbdlaE4d| zPuN%g0pI=~NQeJ`JNyae@HN!l25Pq*25^PlmoWRUU=CkF9lmn0{mNncR}QvYnRJ%X z>=_ZWGcCWmqW3o;M=#bLJy%?RD5JC@DI+Z=%qQF|43T2P z#E1wXB%1G%Ab_U|(L2QWco``|K@E@+tt_}2XRE>3c#|Q~Y+Njd5Wqm2DNrQ^CZSI6FIE4l)*CHiqs9-Z|w;mxhBgIyP$P5>m;9?^REDK^K zD6J%gg{rWyRIWn3htlF}bPMqC2nz5F3HAyN_6iR63<~rP^z#n%_6>CN@iVx4C@dC^ z-Ux7uqgdx4G`Wb~krH2&%nz;bMXSBB8c)2=jbN~nv=*|$OqCdUN{dqOVX^ueEuI>q zMXJ;Clq$MJf#*qy5mZFIKUD!AZ$#|y`7kQJvsMka{krC!s~Hx zDkq}rT6pe|1+`hZBO6KeUL1Sd*S@f_O>iA$jdS*S+kNZ=Vf zNRkj6tzZP{Byj<5IXh!(s|w4C({s`ylA_&$eUw%`N5;nsXh;s$g#oqaI6Ly4okfmN zB@Ac8GTlky0Er>o>JuLpS&~mU9+ z|ML6Mh4uc4<$@7BcHgUZ)~Z59C!$q`bOq^hQM-Q&j)9o4a@+zJHGgK;nhz)V=LDlbRRf&bw_@! z#W$A7Rv}pm7+>Wg)j=dWm{<=N>EWBc7F^(#9KnzxXc7!dPUNa-LLEb5V9AUerI{|# zkp)T|SAt>*5ey!b#(^=#z+MBvGa|SKB-eoA>ajdMUSJ>z4OFR-AvZCUMv?@;6*-J6 zhVsQOe6cfMkfmyxT*Fl9xH`SiY*Bc4==}UG zp@7dgwCC9AL+3A_xPI&Wy_RcFI_`9JKkDi492n~!n;Mu} z7@b=knOhy4eK9bz+&8_{KfT;H^+~-`%iZG(Plu=5`o`LNMq9f_9zP#?^lSjs)BXpY zgLm78ZnqBKdotScWc+d4#Dn&U+np2FyT)#Hjoj-TeAwCdpsV-(v)((;`|dvNzuP%@ z`(fXa`V+-b>B(|)nnsyz66CouGF>@ou7VV+INDVe;_hCz`~ z2o8fIQ5Y<)P$pAY33y^2{yHJ^0PZ^DQkmo^%2v18@a^2b-v{NfZyj z6PcmkxMI_Su}K$zeh(GDa>dZiCxe&ncAdO%ud(^U-h-!V>zga98!M_0RMhS*uiJg- zBW!d>9Ik}(wHpyH9Lqz2&m?AA-Wzm_v zd_4nW-25XgzF{Vx5YN!qz}VEt9l0q5Rk_uN${N0@K5}l)sSEqhUfg~1Le+dsG8`kDRKFDOK!N~QA)j7mu_Dyuts@c7O8qgSgBT`E6#zUt8V z+9MZgn$DEeAIdJTNzKlVj|z%#mxm}xp;A=1z$J?77|(~Nim*E*!~_{RNdxPY5&FGe@@|U$1$A{ zG-m|W8AWwMQyno>M=aF=M|CDKpfomu#mDd^1c`#8)KcVHvQ$f!XbA!pmZLy3WN5k! zO_iZ3Ku3vYsZks)8W0y0iVM(%62XzfIZ_x$4CRR6d@)iaK}%#9sRAQYVPtBgSPc`Z zA$$##uZQtXP=VP+XmS)A9i=9y%#2c4@nB&ND_i9%*1GG>zFr|c<2FC{k$A*MNhlhoP2735=>O4(+lOC(m+X(eG0*i~-8!ZjO%7d`V0Ib>%qxHh* z+%X0#US}q$%`}BctaG!t`Ud-k1bO@WyL)(BjAoriAy@DOVy;xfRl9PH{%lJC!!>~F z9>DVO6L@+{y*#BRgG?!v@!3)qMMA+y2rxYx=Ov?s=sBKphMrGR^XSP@(TDaOdGw(7 z`SYpKiS?PK@5g4|42-Sz3@w2P0mfE_CRazN*C#+icryvG!KN18Oo4hk3C4W@An|5w z79fgOfW~KEP0qcZntwgL@M>n^CD2YSzMfoqJGuCJYHn?MW_fmQZT`h~i?4o}T>K8; ziiZ!n&NLpXiVI2C4840o+E^$bDUBHs5k{Z!XS-w*T(o;<0E`Rymf9G zmXZzQ5p2n@FA=tXKyCkT+_uk2Tfb)8JIkOr1BT^ISB8r`lC%+-fvJT%cU4!_o<4p4 zaqH8`spZj$#eva4`4hJVLZyT$z(`@xqnv(S_le_35Q=7uG%k zP_eN5|oB-+XYxFR7t;mFxzJ>$b4|MvIQ z?>>$#zkbp`y|?~IxO=b=M$k~Ht`b(br)pnaS^KkRYd`!l_Yy#(^}g|?!40k$oqrDo z{>;9fm;tzAeS<6hfe^oXS^Qov|0UbWZ(Olyxab?-b}%EZ#U`By);_01eUb9-mO9-r_uiNPPkkb_~QLJd@5gei=0nGq>5 zAca~m?^ z_>4^bBa!+gp1uvsvca&nqZwOK)U9aBb}YpfM{yw0Aapj0BOr)n47E;Zc2#=$nL{Fc z;*!GBvXcr+vTJvj9BiyRapK^G3&*eDICt;zNKUKUf1-kXOnlIjsn#2sH3;#Y4`o-&+qm;z1{ij=HusAZ+13R9?TDlixtXK zRiZ32C*PBi?ZHWN6C_zB;byt7QDxF9r9v*9O2VR%7z7LjbpgJJ>Rtv^~>d#JMRU{(Ernge^A&YZsV;NIi@zAFzq51qMRvinLw z)ydq_hOEM>?1HkK{F2s`_=jLtoiF6N$@eWP!i%JTN-4T+I z9+8qAmsOIwYfo0?p~Ah*l})GjoH}23{6bChrK%&B%MV{DX*>sTMRv{MwBp?Z zQ`vPVGKzQa%*;*8$j!(s&dRDv&neuIw=*d}Dj>yM7o=vHSRz-Y&d1v`BsL&CF(M)< zJ}TKwZ(#3X`_s{$6sVcxpd#1{ za85Lg3xj|VGw?b-)hMDHg;ax(tQXS^GOj@>Q3`lmGKmC*BJCWUx7yf#@wM$X2L}k+ z8P9McF&#;C2NK1e%CKj0?Rg>xrof5JcEK>5F?1&^!x6`D#4{ZUY)2x;nap#c3Se{* zoGC@IXPsRWqvLDyOW#icyV3Erfsy5*u@@ub zD`Qiu6Ekbmb1!G+Uro)ePtL7P&aQ5>YoA(B!1eX1Ibgs`aLmTVskznZ`L(I}^~w2{ z;|s6H=U-0Du1-xa&wS#FKTj=w-`zLUa=-JNgNLeOgObGP1eR@v(78yCCX{DYTnOV$M)3IW-0}p1)bg`j0ZfC)uVjMw3<9Ld-5k}t~{_zDd zdDR)a50)K2cHsQEZ?0dveZRG{cW``eVfEd_{L6vy<<8!zhCTbEJuDLFRy`5o#l=Tz zg%#Op7cX4y8J+(fSNu4?{Nvo>huNhM(@P&Vp#so`EdoS~U-f=$0l@6|r%} zAt6P>x`59=h`0L`^ABN`FANNe`t~(TB4dA)pRAjPM#0dBJ#1-p5{2Anm`E}6WW_oRS z?#<}J`%wTUXI_p?tpnIO@@vHLhBiZwH#`4gpjiK%rQ)B@K{g^!L66PR4FkpaCRD5d z>K|L~0eE9zwtHwEj76PX1=KgW+B>m&@orbq?q=V}bhUdpSM5pQYA`%CN~A$ZwJ50; zE!ANqI;>EG<|=82nk zzq#9Tq2kx zqi3P3XYEPP@}us#dp%PRo{oXpI9vN$I{O|x?|abKd+W)wtGC%gU3ZO6}E z-+$=j?)}Zx^+zgd4_DP6s%dE4({%9Y#dDV*wmcdbxYW|waQgPHnlpJ7M{`Q|XBAdw z7nJAZ7w6`FiU$#CR05TpuafW-VzE}QG?nv% zFH6X&$tXWiw7d2MSLl<@(IGt79n7XSvA-g0czhdXE+O)zw zN%?g#xiwKa)p2=MiFwtDImNMwDG}j8Vg9aRzWNAnWrUYJ!dn*MD-ZP&2bh??O1!Ta z8OVo)v0TC#&S4CP5T;!y%Q1otkLKcHxVShDI-U&=Wg*;IC^ZXXF=)f%(z0q!=hmIh zD&LopSCpM!nqRoPxb#p?QAKioazv(=XS`k=B;{J!8h?vlTvBpY?T)PKooU7Cskz>+ zo?HsS{+SqM=SS z5=AOeg@z>*m+wD%>gK^?*Xoa4scF1W*>JXO|Ec1=%>}gwb1HYI?3;%S8p0R=~aJENQ&Tq5r#;~6e`$48Aqn&Ys>? zrAo6|=LvjV5pIDouKw|^{t2$Wv2H#wZeG!zUeN(Q(INgpK|b!jR*kzxVA4`G7KGdb zA@jw`gUE_762KKQAEd+$CNV=~I%l~WE>~ma8nRp~H@Nxu1SLnrrbWhNMn+^uhNOoF zr-TG01P2EA1n8~)9GxFi@5eCuQB8hyof}i7Wy>TYiBKWp>i8@Lz!fBn00-AHu-+na zxSHW7A-i+&Rt_mSEM!l0!{uw8Puj=E##Wb?znhzVGdZy~I=VbQ{$gTcWqNvbW_ERM zZhdZkeP(uLYG!$IdTDZIX<~YD0_aRH0avDHUd+s`&MmwIG&8?CIkP-5votxoJU#zn za&C2eZVlM#j?S))Pp?c)E>F*{&As@3@io8|KLA|u;C|=n29PU~MVLgUT_)e9ScWK) z!E?lrodU-s5jt7n2T%BBApIv*u^!CT~?|+$D{cd1tt*vM3z@CN}Pd6Fd zMo)x#a&Qr9UU}Azi{~%)jLr=M9JRp}^D95jEq$0>{9$JChpEMXaK&$Q0k%uugCOx@ zQ$I`tTKO=&ve^O9;)e~)0LK8xF~0om*vk7+P~VQc_;z^t+o9#}hL^t|TK)iNaQWl# zi=RhUe;Hf*%f$MhufF;7=DaHZ`LClhZ-*w<`-WGa_bs-!k3P89apTIZ3&+o#sBdg6 zsoI^LQr?iIjMFZ(B! z2LXzhdkb&{7+gHPK03Jywlkm$&DcivlF`}M8}2l3He!%pZ<;1H0Au~v(-5%p`;d_C z;fnD~1<=7mh8w9hh9}7?``)Idb5{)!2+Oi7|kw zaHC1hWRZ~|)Zs)Lj7WhMgVh6pb)P6y;kj}wQ;cPZaSRcTE+Vm|G~OmxXxS3ro1z1_ zf+kW>L^6_4LJ){?0x@2q#LM+~g&8fm*Ip8vRK2C z>O=~&M&n`7dMTBzB8drjXB=PQ%#ql#L=G&O3sdRBR5{b-j#P;~RcKEU*ipE46plS0 z8ry*ev>XRI50E{bZ_ng80u!J>f)vZ~3KdnOV;PMCt5xdZsq*nP286hWNBPAihNPxN zX6453D%n|4lUu*Pzh0GFFtC$-r04xyXWD+VEgD;=h*nu@$u&q zV?BVzM|;Ocdq-z_Mpt@A-aj3B+1|hSsBaof68>c5Vave7_Q8kUL%<7fK6-ZH@}px- zS8KCNbNu|`C9EBKW|jv%&!3*|#Y%AFh8y_qGNznEVNq~YJcfWq;E-^DC>SIHn?~U< z>0A!L6+)##ZZhh;Jgh;1zA@2ZnYrnEk2YOuZEYDCd(b@sx^rx}Rs7a&LdAxE#ovDK zU$My*n|C*f;!_J?$&Yxgx(?P)5nYpUAcw7aQk|H-D~*DhUY zef)4>_(Ds^{*%}9s*dH9HRhD;%_^+PE~v=PE6(}Vze3~ct}vM;IlxODj};VCNU*EEGX39EzH*# z;jNDFRz&zJBmGoi-qJt|+ebt6k)i_x$Y2&Ml;IM>a13GEhOrzX*>DglxcGPuHj#~r zU?Dx3NDTvN)hfcHQ!~ns<<^|YDFdjfEWfzAxT2x5_C#J;ReWxoUy8vJC07QB`EGo3 zm|t}IuEMHs3d@`Gch%=+mjwFw3t2R$Eq`#{`UlANKf>%jhuVG(vDpT(v4hy!f+h=x zZ7_#z@C`w2zjEI8nbVd(A)M^-C^VbF_4f-eEUIfhajmiW>b|DSb&VIR8qSvPJ5{&` z;EKlFs=b*d<;iKu(UCr(-m+jVDUfd;ME@$BsF~qn zqCyQMn1Kj2lN_yN8zae9NpKS2pdu1R#ip309E+T*moQZ#kSk0wy1R;L5K}}n3>oEu zggHAyU2I$+wkV7fnFiws-~tIkEJsRJc&U;qRd6ISDqoCY@?FRrM-s<@#I+~!9LPc^ zio}^Jcc#dl$O@%)>8&BaZP@({+Kv%zoDzaG1k?LhilTqvDWAqL-`-GajBaB`VM$a&ld$8Fx z$ki>#%QMK|$H&jp>}659>I5b|U2Db5y>N0rk|L0%3?(Z9aZ)dY*a8#lArg&?R0)?V zu~IczrjZ$3y}SbxB4T$$#b!iBPM~7!cM`T7vga?Kh-GkUVf2Pilq4#ANe3>c} zOCo3S*djh#DPS7}Y!!G8g5%>6dM4Hnz(N%*SWNWhU_3bZq~O4+^1Y`owYIblkBqLY zEPuZ+_ht&1y+@ZP#+N52UQA8Cn3-Ogon4)sTbTx-VsT<>0nqs5JRqP0T$ut-H&*8t zUd}JRoSs_&pkjPxabk99YVO74{L0we+VJc;uvm{yuZ&MFP0g;&0$lOtufUET7VB1%FImh;@WEG2=+a)EQ4ph738%n71F z5zG{>Ctn?I^4}SnQk-6Xpr-lk$=mnu^>%d6_s@Jg`R4EQ-~N5|!{6Tg{I@qh{q6O~ zzrXtN?{hCd4$Z!9@0)Gd+ZgBVp+MT3NKh{hHeAiF$V|C(;bQOD+{oPe%*uC*FMpn2 z`#AgJ!}QV*Qycm{RDf5OLDHB82CRITS^42#w1E~Iu(ABzwFTMko#nBCo zEWR6Ad_TPK?a;z^Lkr&zF8(mE^kL}5PorzUjKBKp^xOZv`QiWDoLANV`}dXa{`bZE zzb?J~%fhQ)fHxePUVT0^)7sH@=hmak-&{S_c=TXRbxlE5VRCFnh<}3BoT`&%Dd+`4 zM2QkxX(ZQqFsrPzQUiIHnvm}$%Z>8N$xJwQ;z(z2-`WrVGrjh{e`e*;^O3shhQLj( zAb?yE?ydm1qT|`~mp}ex{?+$m3orX8f5#O7Gfb`yO}rSHTHEA`O#yWAYyT5h{CeuK z{?8tpAXjYW)!Y=o6~M)T&60Lt2h`>;;O?`*d0@cs>}%k^v}b(f)|0_wmmcI)9`p!H zAqn+3o`xhc(&VmmnVBxt(Zx!JRLz!axk^1ts-X#$B#xBGmf%@p98*MKOUXP1O$e}r zhAP%jB^ruYO%^H1LIp`ECko{Rk(?;g5Y;B4&We-jP&^reAw)4n7=SC-ViZdVWAdR4 zK9(z`2~~WVQKfdX>U}*;0cM?#M&%)vS!iNCQlNC=$ss&7jHie53{b8X!dAJkxHc5_RwC;wJmYg5?T;ABA2H<5u;edrlr046b~4SLMt5egU@R_@ zBftx#RE374Gl^Y2RenLHuo%zyl%TZi==`GOvdWB_Jq7y?mNhlko%*KX;^pQWx6V9h zx!Tr#qoeb7SJ%B~Pak$aebU?2+27eYFbL+y7+h~3Sbow!`?z=F@zb%#ZKIDKjO6@hE5#21Z1~ z2`B^+jiM3p96Ck7W(c@!K94ID3Y5V5Y|wamTEoJFl2Z~2%ZeLMpSs%K*)li|aK*ij z!Ohc+-#j*dXRr8IuGkC%*~E!Wf#)FY!w*^q?mz0geEspU)0g%%G*#C(R_s1hT6?%^ z|B*e-%?HmNKY8ow*Z?8XbC8zRGcIp1?;`;2u+U$bL?7WifU%A3FINahF zp!4ulS}bOtAn(w`kl5Vl)WXE9vYorCQwu7S^UIU+$`W%c6SAula%$6x_vTa|EZTRp z>hQVx!5Z4nBd6O=6)UnFwzNTt|mlm7Zfqac{{1RsO1!Vi@5SuL! zo9z%Ad#Ifq#K8{YXajNB4zb??vHJ>??NZ2oyO5F}8%Wonv{}1OYi-M2Zy? zBE`5MAX!Ti`pg4Bo=>(L?&Qm8}< zRe%rzB|@kI&qRbOh*0e!QbWZWv_wag8R!bo^-HL>$TU`!#tLTp)>zFdi&bg1sLU3% z*`zfa^%kSq&EV>x1$fwM6`RdGgPEza(xh%wsRvE&O;`F;ls*Kx8(L~afqB2RXqg%d z)@s*KBpRW{thajm_=N@rg#7<>y$5s@*OvGDy|>=nx#R1Au~2Shb+QvR$IcMdZ zb3h1zgaROe5=kQGoD3KnOty_}z$Qy5$8P0}GGH9;tXCyr#&c)Bwf>xS=q|15mR6nf z+xzSg6CN2C5uO+knH&|J79ATF8mlnJFg4LEbvU37;i;{BiIOiA@HsSy%arliDv&D! z7%+njQE*01K&*(EEhi^|_y~?qFxx*PB4p!+>V2ngT)F-9*^9ouzUi*6v6j|>h8H$O zFB*FgH8$HCTkTD4s2bbeO`6(!o7(%DQS~=>477F*p@$%ghaF8Fy-l6=mahKR?!lIx zp~mi!`mWLEsAGKaMQd*hvTF}a+b4c&>z{e}yyMobA5ZSyQ;{5*$@9&iIj%vu!oN)H zUkaf|A-O{T6o?iL^R0ZIiopg6bU6*M@We4vO@=kHAZg|1wVQTU?moKj^ylZUeSPi6 z?|!U*RNwuqeYl~2rg`$$_K9D*$KLdgz3w0XWnlc*fr;O`2Ns&UCLcHS9ol_3J1j)u z?`ouYg#fsC1-o)>&V>t~KW^!6vW;|&%=S&b?H+sGJ~ZFbKiAqn*WN$Z(f3a6y|W#C zf6;$&#dJsCf2qB1s=XIgTklI$_Q`hJWP8tKdp9z^Y`0Cd*`^V-+ECX=lWn@uj%cQ- zZ?<`0u5D=U^5m?As(~ccK z`18}JW3S%Y#%G)Cqxb7OcJ4SBXO7}w@G=tFBw)l_B|Eony7x2670BJ+aYe__i|+Bp zZiFjF7VD(-q6O1h-#3dHUOWN$mqU=H!khms6XZQwyw5XT>hbZkvF~YP|FfokWPH;2 z?%jurdfGbB*gf7pFmv~5$KlU!B2W>TQ2?8w{Wwy8Ku&`6EJdI|X%#DtN`+Rf)@yVo zoheYRH9~SN2UgI8QX&t=azKATWQY_@NX`IdBrfF76CBZu~#K632h(NkYuI(zN*=eHhS{`S$;A0OZR z>B%<_8os~Za_@fU&(G|STL+$W4t;&+=fejtR2FS5P07l)=(8n^95pl7$jY&@5;XK+ zF;&eaK{OmAz?b0fO~Uz62zWY~#G+9ECXL5o3b-7BfD1uFnM|x!%L9W{P65OSG+&tSUMT`Yn~~>74I)t;tB+W-oPGP-ZS6Tp159p_=~dLrwf+2Vs&ZO+D*CZ zs`ATfOST@}yzfHw(JKgeRPH-lw&P&o#`4_Utn{R)lxRyrs4^}{nh>T)j8r9rOQS8^ zPz^a)j1A@chBCY&sBTeo$7trVIM!!LERR$+E`t@2$--qb{gN2op>$6T4Pz8>B1585 zvp20Q*p^>XQ&?6}T3J)JWoJe0fz=x~M&-oGBPF6>7_=$`CcQZ!BWvA`s-0IWx1HIr zX=hQ%`h@sswNgkUx#E3R__%)RzWgJM!*Y)mD?A)sJ)K=VTwO43P8b&lH>XeB96rQ2 zed6V^+{e|?*WJ|*<3Yd%nDo~CypmnJj_=%ax_0mR9s4hC-T!&b{?DuSo!zwS_=eg; z#Wl5grNtS!$w~3%I1>;l@`z$BkLP%#@&Ymh)C?ghO&E|2;$npUVFDiu*IUEzmXN)q zM2w#17R+=GX1eI9o(iI$lo}x8Q4~_9QpQq=nQ9ST4^gcmau`fBf&oGknF zRL7AS`ARdWwm@pDNMjMH&7fQ_5Nr65k|$K~1q!}UA%Ijov6?5vAWdo}NepwVGI-`IiH(nQbJ5h0U~;ie8Ws}y~`v%jgUuNj4k;TGHI zi=Of4T@%kb$Dg+kKW|0e8g3t&u}}TpHZ=3Fq4VbLdnb19*_0HX26(4Y9M%AsGBI|O z7`IX6S1R;gEySmRj3|*H5ESWouz~{z%1x=E@g*7gwPo8+A3A^Y+P!-}HXt9hscW#s zKGHfc-ZA{LZEU7_V!mFKl*;NHO7cX9T+}6|FKh`t3FfjK=&(zzt@mEd53oU~Sor4Qq1Mk$?Ki}0q z*EKNL**DwOKii3LMc>RKOH6h2zI-PXDqglP&fibEY*XFcQ?{-td(X7ZHfyubA?mTs zb=zk;P{5dMu}!qtCz^Z5TYASXjl5i1S0!(L=@=a87#!{x9BdyLY#knL8k>GG@v3Qj zp><@ob8xDAVBFR}+}qdp@ZP;kM^DrhZKzC$E!BzgS)Qe!U!{svYh_hw$?GN9H9XHX zI$&+Ip>S2oiQ@+!*FT^7^^bv>*PX*t2s0emb37?1PUuBcQmJN;nGh)5wGH8lhr{!4 zd&XuF+(=N-e%2$&7cUccY4dH0E+q*ah1f+Esk=#Vc* zN`{SGZJ1miW-`;82~(3aj;qO+gk({rDm;o(RK*odJ;(2VTL3 z9oVoFN9@Ltda~tSY=t*l>BmtLAPrTiXBtdgy%{uGV1pIbnqidzlxbK334zJOl35g% zki(NgBCSepHEF|w4N+!Ylui>NQ-*RSCZbT~%a{8Jm58N)g>^WoHbAB$$aMszo}@C6 zReF*_Pm<|~QY{YF_zRUje1#WJj^W7M*=WK$hAF}@Aq)%hU_%%t=uQ{9B8wXx^x;Tw z0wr0jXDS1^h6tW95*fM1aJnXtAT{_1mEJ-HA|FselIywpU`cS4CMv;{kQS1fov>=v z%F?wZHS5ZEZK*kQu=ezY!(UuEd-KlKAAY=Z|Jl7qZI7P~)VGc|_s+Bo%-^{4Xm8!| zbs2?gqhePZl`EypY!y3G%Sq7#p%R*k6Tm0?G4VbmKQFwWH<^HE(x?E71+bZ14wDD4 zgnR%3d15grmy1@DeY~H=O?qKcllZU=KfAYq) zbKm^<#gEUAeD&>?Bj*aMcNT1_E!bFFuzp7Yvi}xU6s~*McPuG)ZFE{zaD1X6A|fg+ zJ7dkpg7V$@8@A<^RAv{Itt{P?yP;xLS=Gw*RoTVWnd_=Eiz>5rQStdbRHCo!XPvwjaA(z4t`v z=IYg}S7oHcq{LX`Lr|_r3|FSaXp^Iru|a}x9W_LT3laE*GQ7j7?g&@JvX&*VK1*g{ z(pXr8E3%ll9Hw6i!#jfRVW7F1L3+3;Fd<=WMo!tP!cFVSD~cLf$uybidDS)hw$>i2 z-FI&1p)YC=f3f|@7h4WrtlWR5eD~4P?Yq}*D$6ZgnUNWh6e5a|_(ZWC61bkJd}5}M zmLVi(fB~r>E*|uc1pNZ}J{qPMO!5?yFgm(hD90s??P{iZs))XF3SQ17$t5(UjG>m$ zbt1YEqFO+55J=Dp0(e{ko=tFPkv?V8{>EVaoyPuz!geIGF=U<}T|{KbXlyZy1M)ar zDwF3+5jX~bjs(b=1i4Z~uGB@AV4}jXL>{Oh3`2;a^D#8OJC)~7;kuImcLIRH13qLS zjv*#-%JRlC> zO3)xuP)!nPi6SjQq$7%rWSNDg2x7{u9N5ScYIvXq5bM}7BSUVW%5)^DnvBM3su{4F zE>h7z6-A(=i8M@^0YMRt8j%@Ln?$-ml_|_@jaHar_=Y%&7U7C8NMTY+6$%KH^O!PL zfSgN{3polHRDxWUfT`tCqabpQj999|=Zbt20gnilS89+UKfh@6p0lT~{P3W@yJuj! zwP&=Uwg2&p?nez>59>RAM%2*x5czKtTCwL@TOV3>{_*Ip zT^kcalh_`~-X+r(c!MWE1vkSKA`Hrc%=E>RSp&2ymv+ZSD=WJKcg01(L z9{cMa+d@bC%kziM6vjjw2%dp--*7HIQO>F?$i8sl{NuLnrvA~MmkR^0{^*(cwQcfE z)99q?2bN1fZZu@kn{bjp-qRlprz*viI3^Wb(!1|7M3%03_E)+<(4yY{_<8TsMXq@AqVHk7?ZGp&8Tw=7F6~3l+J_#u4Loe= zJMrZ=*`+l?eHal`BSeAN6uy9rEH(nVaHTOk#1xWZ2}%nNOOJ?3kByIxh(hZ?>P=jw zhAfu*2w@B#cH+Uy0eBe){+I=S$b>&-NgP>nH?|VPQhKsf-Yhi%(lJ#=q1h}A4Az8% z8$+Y?fni!xkV<0`iIp6#h|c5#04x+L#bUiuVbN)V4Z3iRHe8_zhm|30lq=N!JUQBn z5K>{q8oX3XQ0Pc1Jw;=r>C7~pg|0Qz)n=;FM3xx{Vm%(g5241FulC_8y#a)9WL|6u zT1JB{_F#(KXrK#4=thIQSW-W(G62+(C1!>)n63<>$SlaJ;=@-tGejQ+a6Z5?{_aQn zHy`rHc!m>|=goofLOE5eVJl5yOQ0btEIchbesyMAX;E%dSjrX2*KWQDV@1D4Pg4Gw*S`GW zryD=lU%&tS`uETNCB@_2>Bf%@|0`F#cUHXTiW}cP`TE9BUw!%gnX_N-KXiJDD>hW^ zD%!Mb^Ug!NPM-cgFN`vwFR4Zp#F-|9fc)Z3X3Zd+iHm` zB2v==<6`v@p^6}rH7+hTD=)L4JSDFvJ|{0KJtHzbBRnHLEImCmH8UhRGdL+bBqb{( zEh923JF~PLMT-NUSL{1izUR#PoyQTb$XmZ<<+@F)OKaAa)fQLoL%5>i;N>mHu5CSf zW$TeIs`i{HDX&IYFD)@DG143psE7%aCPk_<5>4p|`owT?w3!*MB8GvuFqTgQ9TUTH zO5l8&%yCF#V=`ITEH*xeh0SI8r?Y%wS(qTEYmkr}rqM)&q$Ve=$z5GiRJOUGY*TK@ z#`J>H_}skE^kidVxIRAG5T9&_&yHDHmb-rc=Ixg&wx8L&W&ftCEjhW_pqVR-ji2%ow{0k;>()D=Qr&=zP@&ENli`Brjj)U=~=Ow z1Z6-p;GD?wP7{zah4d_tk_{0uA$$^qjfSwnd|!ksL?n!e=%%B)h5;_&99I*?U4iqI z5_}abyb2;|BvieaY7o)%AWg%kD!3GgO<^&q1Ul7=N_VC(KOwO{B62<^03QeN90+_j zqQI97;wVBAO-Q8+2y~$j6;*`Ccrq`pWU*wo5CIHN zmIy71g?253y=Wp|hQyyG!?EQ!js(jQVF56J2NM^AB1l3dVpb4@D&peSPlk0gxrwc@ z0{S4fHjt&UFjQs=`qXRjA`Kqa1;7T9*uaFfe33>Z*2tA6wJum=3{x0Fr21eXa=kV)cb)(9Bd&-f+%7O1JZK@3IJ4aBx<%o$5QH; zN*x1{0xhED`%XYbXwUA=ktKwWJ~yfv2T8b|zOCE&I}irXN@trPg)8uO}YlA zy9Z}_hGu$(XA#+kXYB*CeSNciy|V~Q^!B}zy?@TuH`miY*VQ-Mxp*(vwVdP`X4~@T`n)~(5um7}l+JCrq=j4vP zJ9Bf&t*U&ESBVH)p{3M@u*%dbqK6Bvdi~gq#{m&W) zo;D6Fa)tfD^X`X@HUuh~?UO$>*{^*6yv0@#f&cH~Qz^QFtU(vJbzM{L=0 zj?$5%a^PvR+%`hYSltiVfEM7f5n)KOFh zL{z1LBG;3o`T$sm12z6=9}}ey2Z0KyCkrj%wJ6Ag0b%G6h9>f0ihVc=EMF4<>Pcb~ zRUSx@TM;{jC^6$8y*FRw#+EwKMGh3fG9vI9iR*;6GY}%{p&uX#5XdR8f+<&WHEPge z7KcYD;uEbInQ^Q0vP;$#R&L%@Tetn-k%MP1p1u0bm*4z!@Zj;y1x2gE!*ebAl^Suj zl#>Xt!}x3?hbg6zxg*0%A4;pU%SpQd|SYn1Hw0NHn@}4W+U-sQk%}ZQ? zR{Hwp@s(>2E`M?N^qH&s51-w(Yk$S|JsYcc7j52!9*~~DcYNMNEKp{1sTK^9c(eeW)p0*h%FXLkVO?96p@{sv!P;r?SazT!=<%Hi))V}T(M^3 zw*2+gh2^y+ReLvXJ&bTg*`5oV_Ft|#@I}p`i&eW%6mP6rnUj+o9~l>JinPe10;S1O zy6n`ToK$OCj3O?G8>yp2zyaYLzeuJ>9LFV@`&l~IF$2J4v;A{8xLh_ikL{nu@k!!f zqS!8B!hkTDI8+-J7nzomv$mvcQ+~;YY+Qs|Edm$>A9u%3{_X!=@xgz%F8jpOX@$G9ql=4^vzv=E zLKm)1?k+1lTpc~#oV;9}oR@$4=|4VL_Q8iV65VJB$;>V)DX*(NaQ?{o+lM~Cwg2;* zyU$+RcI@Kj{U+FxE*w|PfR+2+F4sevh4Y7EaUiSL&#BxecfIS_RvOw17lq=@jb zBGgNRa0NtkhX}4(x=T10De6<3+0VbJXvKgl8gft022bc^xjY*-f zh$OZ@f$f23JNa{#W4Rw<`Tvds|A7^JhUL0p*`9d7mmt8BAU`VXO_z8urEWB_3k7r{ z37pAjrEY{PJOPQXK!Jr+zCs0p78o|Ph#7J}fy$4s^y8`gxGG;j<;zj{u;e~Wi4Q~M zO$Ys1FbfRjQ-ObPSb&tu>-G{|y$7-on;d=_)f>W+F5)1?l)gl^9g26b6Gn*l3PWo5G}q5WdDj7OQ=DunSx0z=1yDh?W786?~;TsKtPK zcY)rWugCC=-a?B%7(@Wg6rq+Wkg`E3TdLrwRDfCwXmo(q0H8iwJsZ|BARP_Vk%Za+ z(13%@z7ngiJlIDW>Z1-L7^7H$@nCo|V2z_`BM7n(rdSJsA~lbpArxb0jK6LKVw~t@64ox=pjn?-J zKJDs%(%JtQQ5T}YC*4C&yN93K$LjkgU-VBm4$ZX;ziJtI(=_zDao}}B->drGSI_JV z&+YS#_UV@1iPpY}w!Vp01V8LA8*EcgdZr(BzI@m={IJpfq-~&aV7h(!w--Y*cb~Uh zzW&Xg9a{@xjS+OmNWwp|0GCo3u2_uC<9eo1T~fHXWF?psWGP*<=E&h=-`;=xq_M5J ztEXpZ&^9t^8=dGGo9Y^w=o}bnw-5I84)*sAjSdWt^bZgAj`Z6`dV3~%dS<$83pV>J zd*3g;{lD6K-`H&nU2QKf9X?YM7aK_S38ni*a&U<-ZS$(Mb0<$cc;5W1!`?P9(KETw zHSwx*;&tcv>+bQ_wz1c}ql+3rWgmXMNEiQw7Tp6VT67Pfbb*XLgR?zDv-Xj>-m&?< zv4y_z1#}!)=pUNz8=SKb%-IHJ7llmbdIsiEN*P$_9zsicF6pbW*MFXa{MNpdX|kAO z(%LuE(l^`OKi_PdY3X{|+CFaYot~I{{rb)C_Kx0rH@-c)`_P{JyowO*8m@PV7*}DS z?g-;-&=FROFma4!DLPtKk}-dM_VEkHp0+m5|M8!buiy4hy=v|qJ9gx3W_S|pN74Mr z6??W<{QTtc%eVg=ntt6qGL8IMJBMbwM_=2l~i@{(0yA^H*1uZ$qF$WRAr16~1Wu4+U0;#zYatdW60CGJ{&K z4^e2tG=^}4HQW+nGz3c32Chs)6(b9U3?qPD1da(B8DIGcU-dCpy_~Cc;_6(v zIya8ijite`G<4V~(*`0;5*-nf6q}rpn3f!s5Em2`Weklmg~eGSVl9zj#&EMfM6C@J zDh)J=3J1%5MRISE+zXO>31!|qsTUx2=ZKtHLT9!R13=z<*bkKAU!gRtICSYchuD#I=;EQyeK_sWuSJYL7t-$WlDHaT(*JA5aTI4Jc$ty zKqla56e5#O1=uVBUjU0F5{XO*ia1<=g>Z#PAXA7nIs__I28%8{HllE2$-a{(F5bL- z_51s`etP!J!^S&5Ew+aL(*=Rh!jhKI;;;2KmoiKdu6Tdt5?3HEUc2+?tFP~0y7=Ac z(^n51Ik#iap{m+_8@KE!s@PS%@A#ohUtPZU-VbE3Fq)8*s8{U3*a{LSUlk35|m+?`iAJ3Fm#advWbc0s#>I$_+L zJY1bTT^yZ0UG~X;{KrRs|2xi~AdzaLVl(pBRc+gQ=GcWhM=stueChUq3peUcU8+8G za?_rJ6}xv=?cBbpvLrt}G+D=p;b9U5{%HtTfV3QlvPwi;2@}%cfCLyHCd6u)ULes; z7~rg-Ifnu+VQd#8$wlVtD)qxC$=*5uXA}}F5IImx*F#J(kIiNR3_6!V8Dv=*R z;QQkFE&;+%2%`UwDES)!`UuDS%%ACm<+$Mlo&m5IS?o!Zc(SDK4A_MVI+FO#RG}-{ z8%XTUlVc$*L1w~>_5P6BN1*Tn)i{wZKy1XrMx4mt59xgcS}#E5!Ipb6rJfA2Hy!q6 zO8nU}9H0mgsECl3EYVY>I+QEqI+{{PSL+yBL30M3HPv#&{xk5U3(BLjGxbaY~ z@Zy{O_<=ZqnIO=R1yUL$VM^s}gex>!p4K4HoA?^k@L|IS24tW>1|n$0K_*|=>M0KL zkcD_C!ZGS7KSL}zD1jZ3%(TW*wV_0bi4DnN0bdJH4SbqO$gql-dWfY0*%BegBIU%Z zfm{P;oqLxwfBwN$L4Kg3q7L?-J`E;qp$3L zfr>@0cx6X@7Yj>hu_zQR-Vw#%tZit{J~H3CNEH3!ulgqzHTJ4+bfI@--ZngkZpx_U z7B!C$MbGf-o?&Faerp^3wP)n*m5E>f+wfbJ6lir0k`y86$+BMbEHqqQP zYU`OA8(VnwdXXz`-aWVX$lkU26`{H{JfBi2uF^=YjQ}L)ShX?x z=*44CT3^in{+|=Cenq&VrEmPik#m_5$zqf%Xb4v%SS5RQY<~Fk@zk&X9Gd;5XKc28 z;AI!`$;aQ=Cw@hKA-19U9_0HD&2PTbT=!@3T`j(MrEyGV+2GQ=iExk|M`k!|WH}s5M{_fHG+C%1qETJ)s zCN=mWP{EbqK{ZKYK!k7w0oJi#tw^lah?P2-MyE9BG!~iCAdqSqA|(-&`w68OzQk1^ za~3LAfGP)}`ZIxMIbXYir*-D(+_-vIj@Ff>c4Mh%kY27bhgyPTLZecm6Eove(;^d+ zgJTjck*PtkSz$@p5h)2FaUs@7tudIdHWFki50S)OBz1u#&Y;9yAo1i%yf|Vv7UaYb ztYGk6SV9a3^5(&QLJ1ZP(^3S8l>{*wNwwJAQ0a$a655)?o4Mp`g%J5LL0_iOj|KU$ z7h}sg3V)swCqU3bg9EiVNQW2c@ghS2j95J;gf1xZKx8SvL0VtF62lTB>*R6*=Q9Fl z1p&bc#CBtTGmKA+9w zg0N7o66*{KgGFNsHby7MmR4;(df~#=AMV|__vp?~&%gco#Wz18MDgFC;_lBah>*!& z{S`}G@z+C;zjDRbw;x@;^5gl>?;Jn*)xJY#x9>h&xdY*f-9?pkHTzE-`|A3&hmXJf z;nA6E4-TFGe&^Azs&*e;U$eESyk>1lb>5n){DP{rg_VVWas^c)ph@`*8J{8Nan({t zualaCWY$1=kVO$}k_H*X2za2KPR#1iP;GdmJjg0CYK3}*JSfl@6&swC8Iis^I;S`x zzdU1IW!{D@1!ddwH*Cu*-I}+4dtueV(%LiS`@X0-@>T80YdelyEUT$ov!)<3B_Sy$ zBsy3f9i&K(F=nTR=A@xqksKzBGcu!PqzE21lI0c0aZTnrqyj6_*ly`8uS^z#7CyNg z?;MV2I^dQFI7I_qL0pP~D-2c{lcM8SuU@-qZE^bQ;`rQ>#QcrvMU^WzZq44XEwglM zdhwQ=^|krsdy6U#ZKyf2Y3t$Y9Y=~bRAuJmM#qH9WgrQUS^m-gaa{H{H-`^Boj!AS zc0jlS`RC~3$M;o|7*u>7-6K3@LuC;ol`T)tRuj!4TXs@Q($@Y!oe zKEHAF(#<26ZtOk#MeVWEHTw@$)YX<%R}>Ym&W^Xlsc8{hOg!H&RY1%HDLEi17eZ{G zfDAYwSsV}v;tVWrh~O&3JE4Hnd5 zg?fLX0ms)9cq%F&Veuqxg9~9*;A!(u z&)Oc=cRp_De%jdcthuMYwdX~ft+BngsiVKSYY5G(v`;nKC!4xQnmYU1>_gq-Gkvdq zYagF}(Aae4_RRyks*4hhF&xJj>POjpw_-Vdt=K;eaEl^;8qN1hG>9`2W43PHg50`q za(Z~~)!@`z-}tnBbf#x?wsUyCePE`=KGB4h4Il368nUArwsnp6bd7g*Pqd+&^Rl%U zvGfmnwclIxI4$O7* z&UE%ncXYn&@1Gr?e7*4I_nuDs4>#|g*?VO7+SQvvGso=OT7}< zpC#+4sR`PwqO^l&4?S$EpZ)ERv4yvNFBe*R#}KZ_ib$3$a)kv%xI(G#W$FKixSv`<^J4MnvuXOBFn(m*@h~pH)8IskLvabtwtA z7xiqk^h~yNO*W&AX2$Cgz~~%nwU2kAhc83->N~#v@mcNhi^*%tgoaRxL`M{<@j@k0 zq@~JDOmz@lX(daI0U|94RMSBv0LrWY36-4~k9-ib)Gi z$O=!+j!aDmO$Z5!)|$hFhCr&;=&RCtD>N9X(j8WK3S~Zk#D|3*WVkU!E=-XdON3#I zJUJq7uGoh!@kR5~rC6a1ZI{fK`f?>`)nAs#iwSx$g+46Mmks&@5S}k031Om89Ke_0 z0A!Jr_;JLDd;zidJ4w8`QXihom#@Hr>Hv`rk1SRQr3mB*)wnZ3Co0dG%5|Y~U8!6r zGS4A^y9~=+h66sub3P4VJCit`R4$gz#dCoGm_<}EgeI{e+!P%bl^kx)3RJAt3$m5m zG?*RFqX*H+DnbD0hvf$Za495!LE*8e0yZ7wFhDLx$ma_LAWsN#g+d+#LQ+Vsg0%*j zF;Ev6X-&*dDc`a6)K^z;Ja}~T{^Q&Cp58(A{LYX6Eo9=ozhW`I;$OMqJyam<@%|j- z>aB+tFW)_N_WGftmv-$tRa1Ll)7HJ~Yj&-xtlfIxxT8%(OenI7$!iu%)DwencLnrtE6ugi@mT;&NAwwc&N|XYPPHZu& z!-JLKK`KNML8iFqkd%~&^h|S1w9IM}Xca<@2GkfJomFm)(uSv46LRBoN>-Ls7nbkH zEv`z>FH2orzG~y{;_at4ANX?H@oRg|-QIKhYE|vNqT=#K7&Y+F-aSGaj^ zY1P59n!^>_j+K<{Shc1oEj?9lR5EBjjt>9F#qr-TPXF+7`qbU|GlVHVb3*W9#R{j- z9G#XsJ1=*2c0ka=#c73;gM+if3Ljq_h0cW}n&`yr^%Xl0oV8aKGCv?wNXiBYD?$895k3nJND~udAiRm? z4F|XgaVr!gMXj$aBgT zyRl{N2pd2qk|K;{NMIQg*rr58Ok)Dw5J%I;5Y*xRGOIVN_kgtS0+p)(dDzvypcW75 z{RLWIK<&*@`f}CC90%(0i$XZxPpI_fOTD;aFCHQZGWX`me0Xvnp2CNxMuhyJA0WrE zMFc=Z1LYj4mZvZPG96o@K{j`WSWOeFsS*uYq9e)lM5!Jx(cxe%UZf+44XEo9Hj*GC zNoc?e^**4^RiyEdXs}W(RiR_44Lpqn)CcjkK`cceRcs+itO1fhoHP(C4f2-+`%6On zrD0e_q`xu-r;iB;j3GqC(5yjhjZOedq#{Tw5?CR?BxLLOEG0l!@u+G(MI#_aiiue& zLb0AutP3bs2NWssSrU8<6c8vNgox?kY9PieN{=-+%Vh(Jwwfb>;HsH?Dql`^L3zZr}O-+wbrFaR1?h zhmU`L`uNH7C(m9yt8aS#qOGx|v$@^g+CALXJK5ep+0{GR-8;}bG%`3nJNouF+tk#P z)}|ZZUO%$8YJI9Hk?)+q_#{W@UMvq-E%8g@I)_j`3K#k$Sfp9$iM6}x?%exvWPV|E z{!Q=LOuKEY%{GZvkm!HiVqa*o%{F#VHFZt2c8s=l47YcTws(%Vbxk#OPrm3Gd)7VL zfKUyx#|^#e9DZ#Z`NclC@b&pGE3-3VdE^KdE`;hG#`G^wNw{?6Si`f{p7z1fq1l<2 zzfFw38tR+v>v?IjPj&asEQM%xFEYjwW-M_9GWL!v37O9?jZ0i%8(w0JS#&ZoXCIrl zk1yE97rIC1x`q)bLNte{Yj~l1@N|1Kv`k{byF-s z#e0{<(zrBv_ZEUu!}Ewb7n!PS7=5L40L`gEONI1IHFv#y(J|g?f7v@eH#YyKt$*ak zgJ*lse6^~4hb|@^$Cr6?L|CC5u>$A{Ge;LJFh{VpAyl~;*;4%lNo3$HR*4T^?a5Vo0tyd6?!l3}v8B#Tu`@&D&xYwd z7z8C!iBhH184k<_?~p07lY@^7GSwT zf)Jv@Vzykyl*%X~DS;1TIgl?);LYH9(7En3z?Hfv8rPN1b7u;@IItg2=D$cR{z3#c zU{4N&VF@ryK8D5jVDa6VkSks6LY2Bu#K@xRN(3<^(3=eUQ$Q~|%au)VaG}t%j2=Wh4oxku0KxidPZ*L^!m70K_CiTn5CUiP%&TlOkl&0Tz?P;&AzV zzDOjLN?-*nQ$req#2lgzjSo%B&#v0L>)egocOKW@dhq1t_m6JgeR%8p$G3lY{x885 zONStT%?DXZ7+E?5`4^uCa@mzzKcBz!?a`B0_8dIFeb=#yt@}1s?=G#bTUWJX+rd+3 zuigFrS;zGsU!48w-o9hk>-L}Dvg=^Qwyk9qHO1>uPsN(T%KXC3`Rg_dT|! zKo$|^kYE8t1k*$co?0)l25KV0)u_TWQQ<+!$+0=BQu5bDre|4VVpKtaa!a7Z5CrQ& zWaem9NTM-1D>kcWRY`SmMO|J=O-6n>!WAn^>k6umZP;}HgFt-0q59BQb*HZHJn?1a zj{U_Y8&>6HrX@zjg&AW)GzeFuCx>RHAY7qKix4MUfjA{CQizWNyyF1(B)~D5GEBtO1B>>sM?uVR+C@8wP15?QN`}ks{I?Q50%#(D=DvATU53(Z&hHhfdk-NT>c+7 z=f5Fb;py~=8wwID9GsmU93321eCpuvv6JI6SEuC&SGYN^aCLHYb$0Re^!3M)=`3MT zc*433HT#a9KYZqk6BnzoJ0~k4Iy}-S34#fM049p(lPthx z3JF<4e2x&C17Z=bNSBb}MFcC`S59<;@lFcT3LVYCKyx%uT=gVREx|`c@RtYRH8e^f zABdKV;?Rk9GJ+^AA1)HX$T@MS*)i@O*Dy#Dl$-nD8_h-431)>i`3{VGmsQ|hRVp%SOvNet|o+`2qsB` z0;EAWd62&%7%LCK$wKkcumD*EK@mk##*p;Uq`)X*cqGGO<|*YOkf#87I*4l(arFYW z3SdZ>R0W5u;SmjjfEY0@TY)Xn`W30M>r}Y43Veoy5Gx`EgX9nqIaERkSJ2|k{PYO< zszgJ6s<|*DusAz(PFh5NUb9I4xMa&Pt7Lpv@U z-SfrCgI}FJcKyQX+m}E8=E~(e*RI~VdHtI^x9@)U-H$)~_~60AhmY$Y*S9`<(bn*y zsp&<1YgWTRXWO848C9Cz{1 z(HDm0XrPj=c~w%eyVdZ#=4X8tE#ENbCT{g>CGXK+cg zi{Tb?C=84(am9Ss$lMZCbRwT>WT9u|m3{P0@8~bRW54zxXfgWRwaIt>3fY@~+6I2H z54`Oi__crFx4xmb=t0al>i0nIWgkG}HYeuZ&b|Gkv%B}Z+jmdwJF;U<-uhrwHXBnU z@vk=1_QeXSEYw1oZ#u^*O+!nKQm3y<*mr#2PxUBQjL!eE=&u+(apYWfM6%SMiux;r z^f#fCiDARbcERVI!u zh-(NHm?Js5cU<8sP=OX#FR^US_Pn1Fr`uoC?@bAEQjyI zTSN~iucZnzjDP_H-9>F@%ACK zjp^wvwMWWp_HL-&wSLRa(yg_1N6%ik{^Px8JvZ*YIDPT%&V84*?L1zyV^8Iln)1r( z^<~w?rPYPSRcnhX^4GnK+XSr!K&PZDVIs_<$s}y0PM`^dO`-DO2u*mjDlAeF5{4)+ zAuS=dFuSNCW9^32)rCp9`H4Ae;~qSiRYROxFmDjlGz@qY>!O9b0yDfCEp{P=a$KHPGGwR(>ydp zA03Ags8mLVMP%fxLGHfo@a64Czp6QSp$|cmk4}+rPOx|J{AX2kxJJ=(=K=i<5(si?gHSXDb{&cKGxI zCx?$+oj%35pxx3Du2>A}#9%N!SRB=03R_cLzW2!KBd5=wy70xRix+kt*temwEN9Ki zgv8iji&-z1=tWE&*Wbj!MDV;*gt#mSpDDy<^8GRpK>-?yW-h%6Y$jK~ABctBQ9$m|UneIUIzsP`5cyaWa>zR{Cs z^yHcld2x-4(tB~Wo(Nq4O2mZ0aAX)jipT?ydLecYU+F7U`G87q2o)Aq6C?;QXh{%S z6`UeaG9V3GqUWG($c#)hGF(rBHF%*C52}bFEk$ggij7p*K!yH)#@+(Bt!rP@e>4Ag z&pG7=9HW?-nYUnz$spO5Y)KYal9?G~isLX-lQc=2radW#(>6&tP203h!*R@Ert*7R zcG}x}-(bpD<=G&-EN<=AhR!m1L_ZX^c!!NzO?#pk#zWeKM*B<;dcJslH zBUiR=+EM8ZtMN&%a7dXxyL|cLo=>N}V)EYOi&yWS9=~~N{8n9-r(#sKW}hSfK_Z)S!fFq)-hP z0w^JL9n85>Ml2JspN$5FJ2!@_dl`=?N8d<<)OQd4CTA|X(GzO{3 z0TcvsOY5R7^ShTp?*j)v+VlChdyXF4bLi7O`#;%p@bf(%9Q&&=`d^hcXKH%?-798- zHvg|)@z&l?w!g7=-R9SquGu=cbYo({n#96Yy-Qd1uUxfe`_5f^KRI&j;(PnQ-n4c1 zf`yv~23PjaU(`Rpzi(iE-@s6B|KhIRg>Bt~jU7+oD+;PAj6Sc#Zl)?FT+kr1y0p0^ zU|ztGA28+zba_Q;XTHkm%J#>@HC+u|%bI(acMPuRUbHH)Xl>7;ml6v$)pf6kHVy=8 zx+>ciKx=yMqIJEC*7q*l&^ffBu4h%Oby=uoX+_tn`u?@e1FIU^2Wn~?%c9Ycuh5%k z_2d}*9!I3a6%V`0g3gM7x!j|UI>bR8t3*i($}k}@EG)_l3t(XZqEvt=7o)1B=xQmd zQUa@xWP}8n`AnFF0ylGMHkC5R<}8iZB!<>*c;nFeHx91Y`p$y&JNj3>)U|X~+t8wp zg-f~@t?XO6HnDI`$H1zV#EO>gq2{jM=8iUxFHfdm!r)J3r9YK9=c$Yro=Ttne8#*v z85yZ*DYNFyes<3D|45zvZ05Wd;pr)`w3N)$l=OM?An!<-la`r*20?3WWBcljn_t?t zef!SWw!OA(a8Z9{P1IfBFzEp~pDUn{Wptc|g)sAA`H)x0@s$cfT#AheP^Ch2ObU4g zy;MOj5|eT{7#kC2Vx)tN6p)^xr==Sya03;sq2Zwg&cNq+R6wQK+HAA7TlHNQWsODQ zwJ3EKCD*D(TfrA?<`<2|6tylxqDDw{IJt$Q%w_{lvDOOcjC_>|FSVu$?6cUGXBhf_ zP&NOcssG6U{>22+=1|DAG|xAX8@KsjLFEou{^O)R0A(DRMnt zq{WN1WSN1cG(%p&R9Yd(DhCS4OV@ZZH3cYb9#QL{>Ksg64o8>A)VU~H7hdDSXxtdk zjWOio4FzO_2Qmtd!N)WDMMl5aS|rUWl)BvtGpLmFRV1mAjHdpkw*3R!}8tQId+|#(Cw{G=tMwtv#Uk3+tkSUW=29wtQF2HA^#)DPmdafl|}A_eSPn~x97~*<#U&B{5X2$#D(#1 zN3Ncjy!+j?pHANR_4LhO&)xoY`1UWOw|<(u`Do(Saydth+%-{_5m+!xN*o?%eq0 z>csu=i`Orno;rW_%IWjhPF=h)!;E13T{F&Hy8YKy#&p8z?U@XbzqU0XuXqxbG5K(s zM;HIhD1pY|iTfiH_eLg@*&;KHOx)dl^}(NB@yqzcor%f2lT-IDPu(BCa)0>h{d3pv zow|JIhp}5HF5Eafb!X!4CerfBX=El}MeUz2aC`ZpXQ`Z&>2h8LK zX-1g*OqrTeU1(^kjc(hv@$2uteenAqHy-^war@z^(W~3G?5HY=sEG_Cn`xIaifz(m zixQuH^*Q7fQ}=%wzJBlQ-J2iR#%+$T})6pXrChwjbzw_6Q#Q!N3e??Zz zL|HsZ6`AITKNChyoV)VP>C4AYO?`L%+S!S_qc?xLc=f?|!&g5$IlT3qgLQq2H7*~| z>cna?#ksepL~8eqYzZ3w`T3K_fHkt(&Ni7e?NGfZek2u&!V z2_rCL1r{9Nh~w!AJdnWC;dxrZbhonUe^MPzqD@xWO_r8Y!^J?BP?^S)&SeW{GxMZu3UXeTvks~0f;H%Jl6^5rwwmyXHf+Iz;#AuEPFOZNWGKNyc)oMj1z1XCe7(ofB z7iu*em5L#g(xno*R0cT)SuDc~C1}1F!4_sRd1+L3I*psb6lAi6Pjmvh&KAyeAxUEi z(m9fJo*a@H0#`}rDCuk!ovER*v?!J=l_hwAO~>+?VjlIGqO&@KPK^7RW=zPxx1^c>zuEZ)-4yRx!lQA5wt_JNf> zLu>n&ytH7&)`4YPn+Mj%+g1b{7suL`S0`50CzjQ=_SMuiRm9^VpU0DHDRAn21-4MY z6$`t|Lpjw!dsVTaELRaRaYGtvNP!PZkUXmm^Y(qDKsWA3bEG)2k_sk5I> zdEp=FbDqgceG!rIr&pw;q|BZ>>xH@V=4Qy`>TtBIf5F0qOBXL+wRGw71r3em9*+&w z3S@jbn}DMu5CS}0L5CT+GhTtKRN%`bm{I{M!bis>q%tKVreu~#C>}m8mxHvhGIfl3 z8d?fSO*c@o3^cT!Mbhz@PPrsx&^P7gcI4%@JFRV2U71CbXVEFGAkAvbv{|0EJDxGw zQnV(x93-pEd|i&p>@isja~yfzY^UCo%>Z&!gn7^NvY%$#{=qQ)gJJjw6Z|Jjld5nK ztwkbljOz-~>_r5F3#oRdNiDPZ`gtNthQtY%yO4?kjLM4zd?;l;OyqZ@B3q?n4BCO_BY7nuAK zlV4`>D(o&*cD7ot)<{`e22#t!Y1tGFm!;t_)og~EMK|-Qxe{`bf>@%!l*-{{^2{m# zU8f~A>KWBKMwx~YRx?U8G{1)8(^1N7?B;w?!YA)8mUb3NI=mu?c8{pdBWx`cv=s6o znhOQZ9$~Xr+)^ZIDV9Mr6-gUCk_L~osYu>ZtZebC8v|fniK#Ydtqa;4LXO68PGiK~ z6!o;kJRR};M7gWCrl7C6WS~3V(;jK7^VUV3)rHDRBe6pCVx4$)ml`=_X7uWa^}@6W z$knU<>O<=KmYc`r^k;U{ql>WUw`xQ52rpkbMcGwBgcm!&6qqn zGI?fn^8Co;`O(Yg$F80mzj1Ej>bc3Ovs2?|rzX!$T|PH;b@e!BJB zAE!qr4juXI<(FSu+}6_SGL^D38)WEy6LnQSzt2dl7o`VDPsagrb-tmwCc16w#&5p= z_Te9Y+shSGR9@t*SVpB{Gd{hFwZ8vPqUN>YnzBKc?>gJaXf~xyyIXOx>OF zigQ!{P(O*4qTu9I?|a%PCN}ypUb6^>&g%4?$5HsnCBYU_}Cs zbahUe(wQc+rHaj&Vl!N9K})O{u@x(_;Di>Ozyx^(j;q7-bp!!O5KSZ26C`?qR8NrU z@p3&%rh`eeX=3$UzT!o;f#aaU75&{4#P+^i{phR*NaJC%Ik|9{~ zWV#tkg<}H*wuZpbV7OW&PYZt%U!h8dSn!mH>E?zg0e}&zlL*w9WLISsiX%s|rD%>6 z$CnXBa;i+p0yI1j6o8;mrxR;6LN&lsDmgM4TQ27)lw2jilq)G>IbI+|aYQgCKb^`+ zdIf`@$%2eRl$Asb&C{8}R60MEB~0arQh5@zKt>lSMPiLWsNwQ8EUpI2QKYg(&$75g z0Z%RCdjWn-&T0@-y99(LeHk8Iib-inRehgNOsU%I|)!J58hYZtCxzjFJ= zExUI8d-u`(AD-U+>IVx3H&m6kRF~J+)zmgORCji?_Vx7*En3n$e_>ni{QAx(@fDV^ zSC(g?>tqOM1=NGO{NnsrgSVpDU(*(>Z!e73I{Z;XzTfGK7e*RNDmqK+x+j##;+`Dv3*OE=`i#D_ku5RsH*4neQXJ{Sd6+^3D?OeE}wr@ju*V>xi^^Nm4 zv<$3i?jCAx?X0b?E-fkcTqE%5HF*Uo#|j?nOJz8fTNPBY)*Gcc}>&&MGgInD%$(P zb?uS5_IOigMQe9;drw_gUt?mRrae*K)K*&CP~Ox~*VfpQXbQ!BwrrhPLZg$A=(IWW z{`s%8XP-%*^<2ih7c=HQpE2jz3`i>GJ&#DAjmk_xq^D%1revhdO`SV;?(Dg#^U^sS zp55ULmzG9jk@B)|Eb7a58TDGOgpU)_uv{#LgF=f4NCh3P=fd40WLSo-lw-;y=%^3^ z8<&wQRID<99g)%eB4R!dW8=Vdj8uR&Pe)1DlQS)JRE~gBsNjZ-s@hyzm*3m&E2?(6 zf>wK;$!;*`NG)!u zTSU|r6SY1p;6WsuOP`GdbFg3zL7PKTLpM!Mn##!lvRUdJmL`X;$)ReX z>)Cj~i3J>3l@kx-5Y>5Pjf<*w)75U8I-dx5u*xDVP)N|Y$e@#|chU?wbc2hg&nN5h z3EBd@t^fzRu?80b@(N2a!xm&)OL!)~&`>NfkC%k&b4iG$X&@mdyH#boID zT$@DX0_25&(5Gex)zqL0AC#ejlB_ZXrdCaA0vR=GYMFu*mf=g3B%g-r(=*GQf+ml= zyF}9!06P7uPQNlqAV~*Ai6Ti**%4Bc|9WZaF2wNE9f*sQ(@~(4(3jjhJ97W@ z@VyIDk0$Q?a^qLXE2cjD_}DA2yt%BatG&=3|i%?IbFz2e6S zh`r^ltZSNlHSiCk++ivuPm|8PUZJhRsT#?-+vgbkY%ua^RLRK0`a*!woNiq;G zH=q?}gwh6=TVN7XmdJn*8_`lTUT($9tazyv2mNb{%~+ukBQW4Z#+h0We*(?TM41sU zGh$^1l*|B^8DLU9Oaj70AY7zF3biN*u?{T*(Q-Xz2AMutmyfGLvJ@z`63tej*#LqK zWOCFQ93YbiBo9)B00cbQhAbHkj+Ow)z5vqX-Uv>jO9q-IGfdSejtaq2AX#z@M~>sk z2?8Zq0?_0dh8$o@GMUnJmSi4VJclE~isU?{Mh_YR0F=r!e4!H0mCj=c|3%|cL_(`Z zT47Z*X!#v7dM_W}BF0zA31Jn%FUEPe*a9XdARE4bLiK z7-Sr+QV3|I8pwn6LR$_Hs}1%o?_c-&)@^(C?E3iF`(K>g`|-E?Kl*C_p)dD+aBRwA~1?Od?BZ~5BAFRfp* zNYSbq=oSTfSw%`W=g2dLyxPV^d;rZQK0LfmM)KELpp=clnOiMcW$&Uv3`S+P-*e z=fX{$1Is%T1I#~&ia-$*0D_pgayxM@hGG7~ah$9A85PGi`p^F7@ zpD;;Kf{a2&p~RNUQDqW%OpqSrrhC~LIm|2*69cem0^1$H0tyP&2FF5 z8z~G|mQ*xFYFeUoE%AodNNru9vdkL`hH9df&6UlG`dD?S(3fMes3klGAuBWGfBq}= zUr(hy_jLN4r!(h1o0ak$BH0{d7CJKp14}_>rod9?X3U$Lo>YsJw6ruLkth-hwOX}S zqtF2owUQ?h5V-VoCSevEo6bX{glN2!h*mHVAQ#~hAwyDRg$!9HMMcG!xENO^r&a>& zN;M~@V1y-PuMp?pBDBnO6)jZ@c?Bum!9@9Gv`T}hB@avlatA9yZLvtu<2PFil}4|` z6cCuB408-`j=?N3xGjdUM~T^`3Qyb; z75QZ>V-X(6MQL&~b-9`P9E3g(XK<4Y`BZ&A!%)D~7cjtlhSp8hx=C6{Y1}w%J{E*z zsSpDeVs##@)=SWN$=V{Cwur7SqN<80GA~6@K+)t;^iHbLNj2rtOm3>NfUGYdYdu6= z0ReR5^m#;cA;spWXNQ^gAjj5D|#Tq$5uDFK~KXcE(%0<4)!&@xF18r32ac(g!S zwl!|k#!TWU$P5BxzZByU!Xh$kH9%_7(Q6gNGBG;DhnL9kJ`K%h^!0|hPsuE{seXy^oWPX!pVWVqti)U$P$%@|S z>iL!H7S(T9*0y>Z@SSX>{*ccNNT@@%?wQAMgkB@zM>caV}cdkDEed_+NlXrd| zhwS3k&y%-*nY{h$3=_AWFn;sb@xLZFe;dE?+t~GAMz8%ca`op+R~`>vetco_VY1ZK z_``E!56_G~I5T?x^w|B=qxa8@B{`dHJMsV;&x|Genw=iK^;gKjnep3i{do?ee*Ei& z%lFSs-8(aR=k&xK=%I_FcP@?GyL9RPrAv>7M}8We`eo|&Z`XeQfT=&gqruH1#Z;^g?9AI9!L!f;{o{-tDPk7T$= zG6-{;ifUeAtOmg}2p})(<-wIsJY+RhYbQ5|JrYm?nJU{i|+|>R3pMBTAYIAn5 zTyA&srYpnHHAarXF0|zdY}W7b~~I1iCaXkRb+PDicCyL+flSiTC+lM&bgB7;p~aTq)yTO{R5ReXg;sMd3pAYB3w`Eo2zhT+Ii5L^YC zr^4_xsOgHGaJB-@Qoz|N1Y4ECmd|C2pJxehQiV(py0Yz7vk`j#mrA8Xz9@ys|DPlt zT`YB*)tv?Ugjq76WDfFiT{2>mmRf0G1f`?`IxYu~2?@vzde(fmcwHELy&?DQ*20w$ zYh#Y8SS!laCCfxGXViE>PK2x_IM~?Ynoq@zF=`e(~Mjug>oO?1zI#zdiWT z@%Hm$td&NxgiW#q%QHz<_&i4*}`Pw^&*1xiAXzj+n#Oz-*{=`&Q~^UeQU$UeeG>43i2W%wnV}esw5)4N}T63hf0d->Z{{b6(wcy!f@$~ zS8%NgqM8R2QfAXo3{YkA1;S0;mED7l3zl^(U0c&L6l&-wh}Psss$IdVJbz_gpv+Yg z%MZl@74`9k?z+x}ZG)?Omv0_ewXJnvWmR)uyr!e6V`0yNbqkhn>tD9Ld+Dp4OJD6? z{%T^yD?Q7$B!*UX^)F~{X^oYJ3UjTwR!x4kp~!6sdhPLIXH6ix)@Q3K0Lya~Q41fs zL-dI;MSOTMALi$0mO$_4QbbINiYt&Y2`nne2=X$DIGOpZEDHmvpy63$3Wv)TtK>?H zUTHBZj3$}Rq&7K>4!6Tq>@4u*K=$DEIX#7ta9Q&0u7EpG<}0r+jl}&vzdJwArj`h4 zNMzc7JeBs;Q)$mXl{Wk7%xS4WXUxWA&cSBQ#llk1nR5~8b6}}+vLL%iP02`4LnGlN z0**-|vuFf14a=b-S)?=u?gb|LSso@ugn`L$XayOmWWYfVJXe4yk)Yx-bWDnYydoyS zmn*1M01NVpxRMc(QHw-G2M?oR!j!a34HX7b;m|!`iHcokQ?wRX+Jc_;igcX%y zT;;85iM8~WxAhfOG}?Tns=Q*Z(@U@wqAVVQy_o6@FtdX!XOQIxvTQ-RIY2e|$&kYs z`~*V)Zz{o?gLrEQZw=$kA-pk!H-w0WFxe2H>cdQ3h^q;*bv~xSOSRODk#0i-TOi8hWxx91l`lOqGh%qNUX;2xUTKn44K5!6bu?4UkvJ znu@gD5mQ&#*cpPM1kzl$&}gOg)vRo+?wKG6`f6on;2dDB5En zH0iELUhFA1^pt_Uab0f=?2CfE5wJU?>j-Gued_iiMY~th>Jc}3WwphMib82=HZNeJ zhqTb&QdYfqPMdUILWLaEk-Gt6tr!{Nq!n?q@GZq1Qp#8 zpeGLYRhkECoP+hQp=R&mwvuI?(Upm+mHmw?7Idyy+`o3kf=z1{Z`-*1)h%mZ+xF5M zJGQ^`=B~ZF_Z-}RaP#uTiMT%k3JPUZI|prKBI91?&|vS*ciuVh@yB2Nc=F8H*y)k6 zQ^TV_UK~9&GI3^X>g>eTzV<=fNT8NPBinVoU@$vT_dvVfM< z$t2SyG#^5o9fx>uX1ayh*$HToeQG8W4M(>SWx;J|1;mF8OBO||#U;cgS_U~68|8aWs>XFaBd*hA$ ztNRDLeXh6|Q>((ao2Uah>^1|jS`G`b=Y+J>kV_km7q59~)fe9$PsUd~{AJ?i!&8^8 zZQH!Fvba=3W*RsQn~Yv$7cXDj_4)D7?)>)Km4`o#-gW?G0ei*)aYUDQbT8&=& z8FH0mBm1wvHfR&)KVC5#1)CdXki;euGy$^7+B~YxP1of!boqFt112)0@-^vFeI{Urfi{%hjx{(4pdF_$ zChKIfl_(B?;%eYLZ3<8OEKl<^Up-r>$`C7%5(QeO#L5AjLQPPriAoJgsU<3O1UaNY zdgvKqgnBd|L~?a-mKM%bBbWe^p+qqiXqE!Ql4F<>G@XZ{FtKzNi7lWBWK6M=CDm|} z{eyHAu^P`;;`mCuK!q0q_+-3?1_%A_d^O}1Fs2;##4CUdmSQeL@&a9e70D$!ozrPE znDuh4lA{n2#bQ`8l0+s`gQdBSMZx?n%`MS|mZEBwsJJgHp3zVlaxc^TFDV%2nIfz5cS*Lyyi=ELK=Km6M{$cJC;J^b~7kH7oi zvmZYA?BtnKb_xp}~`~C-Cy}keQSKd0fcIz7pR&VTE26@G*&V?)bA+Ol9aox@> zD>rW$TDB?CyRp2iGuP>r38gZDP$?3sr9zuY=PAsK#X}{LU|}GT?e)!gg)mz~)rpWI z##}m%p;H@+{K5K;^3K7Af#vOsH`MnnFK?S4s_PEbc86-Zg4JDt%GToYdT*@8SKbh) zYzftL#2R`kTjp1_491{Oh&Gml>&mM-8(RiDdsZX{H}oypIfP%_l?Opu+GEkG4Xa3L8XEX9Y#xKarrE+kZSK!T&G>o-viqvsGYn>aor`jJ*bJ zt-{)B2#z{ZP9x4yi?UV0%@r_nMbS|ld-Q_WPafIP6<$24+fm(4%ouIguU0B6%RZ_Dn$@U78wUTVDBHOB|jvA`72Ku?Q z+-gd8HQ8B3bW{=SRd`!9*yqc}&OlNr`R_JSf6cDW|Oq7B>rTV_8 zzPB_v?~dp?L)!KdRhwVl>Q}Us0L@`ty&tH^6Gbenh>lpMLRL%Dn&g>X8qA=9(ybv@ zOV9y!rk9KGh;W4pYQV@V&r>#)m|8=IHb_)L>dvsH3;NE`Pb@Ph%5A-s&c3SL{+j&x zb>4vnUw>1muO&LaEjH9qwz#`|Nup|LZ{70#rd12t*DdbZu(W@EL$uCo4rrMLa*|Vk zw(?Nn9Ccf5X!(+!Et^)nxohkGeQzGv_xApM?;P0w?tu^Y9y)sH!_N*M{^ID-FF*O@ z_~)O0bL@)~-+cAM_s373{N~5gCr+RH?(D@M&W)TrKmOyzsneIPof*AxcI;NN=GBwh z6wnI$2wG<^Ci6)jT)Ogbq~Ex z6_v_KbRCywkyE`+(TXJG zWUUyw(nwQ48eqgq3`h}(66r8vZL)xaSc6UGgKG#<0}Zfp4B1T3PSaY*Y6DgQBE*^u zzA8(oMTiV&sRb*w5@c4g%tn@)$r2Mq0{tupL+fH1JT$P7qHz;}T#V9zNM@`XvlPZG zl>w$UqO>L)XeQ{)&^JVi09dl}l{!nH%@peAi3~4_OfQIyX%ZbmqQXfPB)N*J)X^+)-uRUS(br(k{rCb=rh=CQ(c$@@d5`gUn`C zbL8v2M~?41^38!GCk`C>ZvWvE`wl02 zqwhWZ4dfNOKRW*22gm-i@7RaOpwB<>>GvOfdFrDtPapdH#{-{yzvu9`?;JR`Yxk#H z|9xQ1=3PT8H}@}F*SmCO&(fs>D_1XGzj@`$JNlQduWKFfhw6*`ac_~|>v6mDoY^+3 zMQ_Zp+Y1X^fs!ImagnRA$l)q_l4t7HGmSEggfov$Vrn&dkKbR@7H=P{?_1HfXj9X` zy1K-Qs*a`AT}x}bmeqDID{mc)G<5qbTZ+mX3rcJALRIdPs)9gOL2+fir_5atD=3JT z1ZrZjmb$v$&hBM{i#IJ@vt!ZvSBKW`7+AM8v20D-;KG{r_HaCs?{+$jfK4MZOIZ#X z+ozLMSar3zrs@JyWw9xquMU~Geksn!g_SVV!n8Rd#@rI_JijB=vr;os z;b<6^f}?Y2La6}ID6J-afzuW$aM_d!F&>Y7{yEg_7hox~GSlY3Gv=VPQgCpHIryv> zaak{7Ga+VSGv{EE$0DgHSXx%V@L4f6vF>O35Kqo4wL=BT_ z;IiyekxLKwvMpY>+mRp9<=2Vbt#nrhCbx%J*v|_M0_6*}6$9#cx4N`RQc}nERuf&7 zWLFilu$t$ok$NhC!iX{7$9Dx_+2Q}s5q&nhGCi*WU)WA6=peg0NUnCWt0RfK6YuW8 zxI2*f9dLI?rmG_(uY>3x}g8aB!*mI=ds+~PKdw~bQRN^rMQ^V*r&?Ob~&C#Q## z+s||l;ynXd#eHdk9#o*66lfAh8vLz&14~xCvU$T>Ti5L0zT%@Dix0jwu=n+@S6*&y zo8OpISt|?F0nt{lx<^~nCyRG;f^D>-R!TuDF|Uo7(@xFlpyzh8T-|JUC%2%TTiC`b zXrmXjlHD!1ycSe$E79F5@V0`1Hcd&h*w;Y!)^dvLWhKq}(l(vHLFF!!S_53Ok7D*? zEPkRb%*c%k@~dUpVZh|p0Y*?NGw_)PHb&3Ff=rx_PO$Q+ZW-IJ5mee$ZH1=6a89q^ z*6A@qYEfQLa_1yumE1>NR zXu3*ti7=R$J__k7)ptf9f6#YCz!@Ny=#1#Qrs)oY-C=z66z*d5YCa*_xedP^bn zy)k`H91;LsdqmR~0$RhG4(Myk%&ifywm=rQa$|Z*9Ke>#VRb4*2Z$TAP`W{4r4&=d zhI_cEViDf2q?Vd^wJt?l(AW`%(6@)c_OPx!q-zg@Z6UBN2)2jxZ9#p~I>LsQkg+Lj zZVFkNLdpG&rm#LaLKj2kmaw%YVsDMus|(d(tH1-0^A-3U3C1Z#`AwV(kG8EWx4${C zysvV@;+BoeIyNrv+O(>7)5Zl`wl3TH+L~AYyWk06{`%Mn$TZHLICJUy3lpa%6y!PnQ^~aD%j9q&; ze*MA3%|}zWe}cGt=a(yYf4hA5_o=(TPTc-={MIjHw|*I&=KXt5-d8oh{BiNtuNQ9q za{k6I=dS&7{>o1mrygAze=sukXn5r3;Y+`dPW?W4E9n(yMy`GG*{Qew{qdUq#a+dD zrGl&)CAQPZ7|InVjMPR2teo?Fxt0*mRg{(Huidcx=(oqN{_(#q-~VI$+V5x2K6rWK zo2A}}h(rN+6r+Od$q}qr(*D))BM*OheD(hQksEhTK~iz$`nhY@&Rx5De)7hJ(OVaX zZx4^&yfktB(&RO09Gaj=Oy=aOC3uAd&gkxV$9xOZyo z-pSE>Cx-9-ICg*J>f;-Ce*6CP_)D+8A8Qye7L@Vyg-E_BiwmLzM!eKak((JxGe>3O zstjDEo~zKY<;hmR4278_hupvn7n>1c14^vLh?Q8;bX253Lz0R3c__I9rF5VG z2TEf{sLe1H2vcfMY8_q&6192&nm}d0j8dI!J0g&$3Ds$0U8=-1PimbjbEYIS+>KZ% zK#?gKN`Rx%aaB5&OhpsQ$b2c0FT?R=SiTbSpQKlaj3~Yl!8IZ{1|%EAu(Vi~n!r?& z8FCy$nnf3-Fa&d%!ZemNnN-42!q_Sp3xGxhSA~GQLad>v3@p&f(3&VJEncQTi)1ja zIE}$iWe8L0qExyhl_E(eO49KX1XYS-ODO^wQY4xy;XNhiV09|F)#i44YyIU*%i3P8 zTkul6b45wrU_mV5^fa4nRVqa>k76dy)1jZLR3O%QxO=O$ua~P|iYQhDWXrwcWiG*D zC%@OkZ`Jav)WU#Ck?Yjvhg_`-yEpIt_xr~_-}CXYeTTl@ckr7%AAa-Rk+0rAdVKHE zZx0^%{?O4Mpz*+w@An@$vG2&Ydk#Zh@zuK@eEFAGyz}7~yN?_{`1ubvJD` zacbWu-@pISH*fCyV&}UbZ{B%e)k|*;jm4X#?XaLv}G>vlDFuk;41 zm7vX@>k7w1?Ok=Xb>-n;$ertP=N07Vy9+#dd2W|8x4`P~%y@;??+`e&M5QQ$MPq|{ zqc<3+?TEDw)+AOm4{mJiUsvC=rnY-kL+_gAfpsl|>*{)zRkRP5HYNhqZJx3Qccdmi zSPgkap|8^Gt1R|a`TfE%TSv^)4uD?F`k_7L|tG z9=FqOu;SOpZ1f*%Eym3CcazOf=;E%SmAt015t2Kew0D?Lh^8==oB;iMD` z=lLZWVHqMW$0SoV`Iu4`+C|DxAzvh?{sW!zPuRR?(oFi};jT$a%9e z=FLW=&&6b=;1ToiusOKQ7jYTSVKZL9X3WB7%)w^O!@|=r@bs*Cvr=AoYR)tNft>ps z6`sP!XUa%fY8o75z(9JMjy6|Eo1IJ=Wu%$duxtUgP)hO3>3%6CASMRI_=t=UQCp+lhr81aBwS(~c@=L*%zo0== z-?8w^H;0bx9z5{Yz|iup!ul3fq*+_hZKxa6*DsV;&gYf(GD;FOUk}C8Ln-W~7535# z`&fm2Y;P~OxQAEV!zu1z7xyrVdMMr=LSceY+#?P37|VL~WeG*BlOJi9MBBCTE?Y&y zQrZR<)v9u1!t7Fdb`+Z(Bj&`Jd1V4uxzz3hbaqgtGzhsS9?8st8yH9}4Wpvs%v_3F z#tiCs6;^3eo;p!%=qLo6U7EUVAO`Y^#l$=YtVDpWQW9H1TD_WBDaS^|$Px*u0F-62CyMBfwD_r$=SGO#xgPw!kX5Iwj*v#RMm)K|^N*@(M#cq!u$qk$g(J))H-N zKm*a@hfp{9)r~%NeX+W(SXEo3s4bG#c%{`IX?3Brxxd`3nzM_5w?v_#B3Re6I=#e>a(1+BrM_Q=AXvPFY6OO`aQSl+s3b?1h4y_;Ve z+`e_mj#pQ`{@VIoZ)|$|&28_!^V**G-`v0Ny+el%e0ccq(N917^vkcl`1-_G-~D*} zhtuEuc<#ih3*VoipQ1i{sZWPF%k*&H0HN5a%EpnY{J( z_4|LGgZz5#>b}^$BsVy>G9RO4=!H2b8_b3I|H_wmU zxiEZpc=YzA@f#zMT1?y+9=~-l*~0bix#U656Ow8%aqr^z-HT(l&nNr6-Z%r1ta@?h z^w`}~CN{Y+~E&6n+ zjv>`DC0d3IWXO$lg@v5-3JW~h*UtbGX|jY$ga|;3b$E#(+2>U66k1(;b2i6dWr7Bx zQi~KT(>T&}t|9~S3Z53u*P#R;R;b5|^h7a8mgs3JJ45GY8jDC8H(KF#R$~8!(77OSIY8^(QMoJWrtH2~`xJ(aIm@^dCG=(EWVaLji47rxCP)h(% zp)o2oMyXOKlmc9lk}i-FxiTD2frGq4VnB;caDg#{XUyOv8mba0La$yQ-la>R7V zC7Z`mq_UK0$!dYB45l)Zoh;*t5vixkdRXXM=obVq5(z>e%H#-A8N5^m zG>YcYCFxXYCRqw6$Pi>Hk}g59MDsZOr+KXZA*7Q`T1T;`sit;md+%%W*Bn~9%_lRiJ0(f^GZX-*f!%;=4mf zo_NK+BPaGA{$}?_$KU_(zj(!ahmY<3o+xx-(dJ^1;Ldyanh&Y|P~-uwBE zcaCn_v47=;Hy143K7Z-P!Bwk=)-7GIX7&6PTLu>Itf*gTbA?zUh2Cy0tq2b+>S*t3 zDlf0_6a+nmes57xk*~m0RFv-txbj0YUg0b&QWn@4pc2mG@J&{0AR2D$iM1}M>|9pc zv$`g+s-}Bob=Qjep4CnB*R?KK-#D)$U-_=Jn~E*)kB6sN^b@6a>UZCEp}vnFJKO zfRZoc_yKXmtcttz6(zQEpCMVu0w4!Ps0c4B&PWTrT`sHfA=L0uykFfShYFDhqQ>7M)DOp^%Yj*sK&}GD~zGEF&EO&qAV* zNF*EyO|mkmIMn~9>OP>`s`CBOulxRQ?py{2NV8?xmQ^gtvU)!%M@QvIN4@tht4o&L zd#|zM^g;p&ZD8mfLI|V`5E9Z!AS8q&q%*)U1EJ5{x$hl0%)S4+)_3i-rO1-(*hine z&p!Ky{zhoT90i*SQ0jU0%bRPK;;Zh#EWNwFY6-D+IT=??u3JXJ-b2FNMZ(-etXWFL zqTZ-RQ9;6CaW%_pmfwT9_by`f5<0F*(1?{a)vH-}J(qy+8g$%xgj;9e;7ptb2agyK zQ(6@C48%-<%`GxYi3u(%IY^ zXHaH~@+~babGq4*r&xXvokk1)8;$W-B+_+G+N7nyn2D!_~p|b#g;p>_C~}D>Qqu+)x=v z^g@{tNqkTc=w-XRSl%v%uZ!;Q;s*M}{y{J>A`gwpV-vFYBri5hi}q4tU4l%vrnT4G zGt{?o?*47}z5LjNFYnm&%GUXv_f7A8bk%|9*YA2}!^(9leLW-c%%HM3scDE*e%nn#3Umz!H7?=;*;#e6gM#~Xqgoy=f%lY;z~O&%gn2a^ZJfe zhORkX*Q};{TGusc>6~=6PuN>WjOhV5)+3AbaHGA{Xdf-q$?_HXt~6lsD3n@QBtQfV zqoC2s$D#j0FcS|o6Ac`S3uum@|3O-A!6<0Aipv&p(In0pL@i22NJR3mut|W>p=ug2 zuzF!yyOLaxqprY*B?P~el-9Gly|S@*MHC}3^>9p$c1ByYV@cg;Qah5=4p%&746IQ{6BxyQDx`Qwg_Pd>c$na8$2|KuYtKJ(bi&pz?W^H0C} z(sQrB`tlpQcE0)M?mc_n+PiPx{9%5pwj{;bSL{oIG{(gAb3L z{`iTDpWQyLD!>2X!;6WSbp7mSH_l(aap}s<%U8a-a`l^QSAYEci=Y2; z>z8l;{>$YXUmQL9@vfH-JiM@OCh056aNVlLQ3GqGLo}wR^(tyhg1gIFYMW2hnGZj( zW8=Fg-v9G|{{7G2|KrbJ{`1PGKR&VJ#bP7}(CA7o9g#8oR>}H>(Zh!heD}lOKmY4b z=Wl*@>dN0fy!O|RuK(rZ8}x^zxwg)m9Gz+`1Iws4sF`; zOtEJgw#5W0Cs*lYK@Nt(PFL7ypoJr3g`O!b2z_oH)>elc848Hb{^LDbgU**Gmzs6seIR^>T!u&^JN|8HCAlB}E1` zK^nSR->fl_l*T%RpNT8mY0w;LT6z0HJJVU0-wYS|(sO{kbo`j~;mG^|O24Km5wuZ$A0v)AzqP-#(Q`d{#2s+C;H4>U;vs zh?(|>q-@a@%B=}tRY0)DD_rjsueSm7CeegmFlZF_1odr2f7f{Xnuj(&vFFWQm2Eap zy!qy_-Mfyy_U7T2_Pzh&pANrTS+{xe&HW$j-hXn}{*$loJF#=$vDfw3mvG2Ak zqWuM9G9a?*Nm4*&cR4fV{Lp-HXrXm@ZFzLVVm7voqQ=;Qx?*_s_MuhV`scUw&28$L zS>H9iwtIR_|Llg5Ra>UkZdTaRVf*^1QF1oVvn+^Q$i{8NG(j9gH{cZm#R7SMitxbP{u;$eA?GjZb^k5 z7Oh;&qVQ-WHnovOZftIBq>xA?BB>6GtzL5Pk~{tbyW}oX%@PKoibJXrlB*@;Y8GxO zq3ZWlci&OF>~2EMGID)&BX$|F=59juorLOp@R+59nia&#nu;1yLoL1*Q;%6uSGBaU zW<_&-6_-#Wq2kmmqMlDiglH&;h+^hbZCr|%M~wlr97JzbGO`LlYhhw|J|N|i1+%k8Ow{_(l#?e}eb?!j$OZe0D?+{9xuBQI}RwfFI@ zul;fR^qRGbNSd9L=jRmp)$;smX%@{YNp4_}63gq9j_PEInD zGlKLgNp>BSTdygs*A>?5OY4x1bx6-T!@yee@M`<`f^%f0XJE?LHRf&~wX}{S`3XgC zQjnjb<)>*a15AH`Z3_#uCaF}a zRgj|)H3HGXP;*ey=;hUWn3yDh@6^!7Oq_mQbEle81PLwDhM>6KEyA^En>$>ObF zo;}f`8Ogyz8BKpuJ($vrdgsORX8q zts5zB7;oP^)wyN5XUlBg)>XszubckaUZ zi=SP*a{1b|YhT{He(S5heE;qDKmPR3pKg5q`3EP??AiJ5V{6yVrTt~Fp-0^~qGwE7 z`6D`NH;8RTU7>4g_iMTf(d|1n9XN6Di+}w5<@djQ_0@mgxcK8U558E6<|R!GC7YoG zm|ml7?cDgG0|&po_0Q{H{&M!}4<{~td-AhyKDhk1(^tMZQz@?c%Y`fdxOnB~&nmRI zb?ItlcaBf5|8)MwPv>s@bat^t`=8$UsdE3-?=D=ub+NKd$E{0OzBzyCFK0jf^QV`; zy7tAbuWtSQ+~qG`*>h-N>mOVD=bVvNK<(gxW|7J%L%e|2!&5s@JdkBZyjX|jsj+-b zoj{8d>j_dL88p)%YZGXqN)3%7U9CuauMqxsfo6$Jk4I5q@o}v_K8gyPS8VZ#&3>^d zz|(peN+(%rZIoF^auY#rz{_;?5=||jss%LlfVLh$Fo13;pu1bFT_#pz#Y&tATHFL1 zs^=?f1saS9sRoR-fDtD#5@mXdOiP!m*dQd(z!F3+)*I<+9UfE@q$+_zXH=VfT3b-> zidZ}`yDw_@N1OqV#iP}jg@A@3QqiP33S`8ArsWd-9YXDIgz#?w-EX95;C~0y|1O5^ z6hTYGP_-Ds2%&18Vg(1R=0aG$8Yj}$3)EO1gkj5SxpKS+B1=_7F<8qNSFyNgs@aQM zd{?T6faoLfd=-JGBykmZj-s9eVmaUvhTuPF^nas}6dv2)^w4XsJaOc`y_Y{ZbL-Dv zUcGSR^vTQn_I|i-{Jt3M2bMQ#2_zSrn1aZ&F76*Q(4KC?(* zbfr-|VdRh4#G@(e$WU@>{pi*wA9`lr+q>TXs8SOBEz}i9Ufq4@g*^wK-+Sogy@y}l zd+d$9$9L^LzH{&K*Y+HHb(EE9zkTxM zw~jo&>(H}14?Okq+o&rx-v8X}>W5KRtlPfhzCZ3*bN~G#^IO{bHilXTwU!85tkjyV z@m$N$WN-ICXD(k11(T^%zOB7|V5E0&bYyUJYH)P!wkxvZ-OfS_=&?5|A;=T(6gmqd z3&oK&#gVnGBkM~ei>?^ogu0@4<<^1uZ3C;e4y?LwVAYm^RhtLVENmWKd*8(RZBrZW zpIozLa@B^BsrmM|>fhgc=e_sbLBdsunM7Df zGm2<7F%2Cdx}_|Sj2na{EpAOQX)U3y@Pb)AC#$3uq=b^Nu2oQz6`_ap>Wr+m3=w+O z)INyXEg^UENf~y7kAc-UuP}*-ZbTRfAn6uIDd+Dk$Fnh~+XSh^Oa-5z;4?uUTf$-T znRHfj6P3`=fLVdL`%dh=zr!v29bv^C^tyY6ja3SI9fwdwth#5#@Bah4^zMf0WsP;! zMC>v==AMSCI~%I+Zon+X*Q_AaRuk*7L|iSQuBHK7jl--UVOLOVS1@r^0JUDtZZrsK z263|ipc?_YMM$&rs9qkW;tCLT1wE^1O3Ep5DM|}UMA8(M(c%h5Qq78~ST2x`08OBf zE)ekPd>KuwW`IUE>|kr1OxQ+OSL$#vwN^G_=jiNg*v3*>>2ecQtRq#*m#gr64Nd?z zh!8wrBuLRec{>?&Qz0Ks?qL8fmcY&s+MC4=s>DH-xk#Xgp!AVcezGRe1P59AkiZg> zIzoWeD>mDOMw8HJ6`C9ZlZR^zu=Ei+5@(oNnARlQkrKFb5`R$~ldpjgOub@UAntel=$zjAthWN5OhbE3U{_2|gfg;g6?uPqHu8*>AKNVhOL zAc~EM~tSDJ;YCq2~!h5a!S@RqiC5`CufoL zN?mrPrnpjBo>h0w>Uw94gVW~zNo&`rtvqBYjTlRlNNHA8o|CrC2|DI^nE{?Z!!x-= zO0`VHTU;62VBj`bgg67Q0qra34G4!|7c~at)F4O>fus;f3@aML3Thal1tcU7zuv{F zZUGwFRg@7UvtLK+RFg{zLQ2*U64!ghxE8p%-6PK4)XhxFy;mQZGb~po9R#s#*11WW1Qq`Z*3}^Kd1xvt23Z_E5pe${x#!gTN2 z+5Yu&LmL-Hx2&1ix_+<4xA5o#>mGk_(-V(wefsh3&p!3=nms#jA6J1dZtmXw z(pzu6vS-iEefxI3^Uj+G-`jiS@Sjc`J9O&A$ul3E{q)@V%U3Sm{PObIv!~yC`<+*w zd3DFi>Di>SU4iRWlScH-(^lSa#TB)!!h1_vTG^}W$c7%cfBk`@?|u2pk6+#TCK-`U;h5|mG4ep{r1DF z-=4ktBJ znJqU8)pnWQE7f}iS{GYwYlbY1GUMV5gT6sxz@uZ3O1W?&9WpW$2BuuclEGxDwpNBL zk?OHZGg)Wjm|Z-xlaC$;jCO&+DbRZaIzLB)y24G9J1L;85i}D)15T!^m1r=4vIfv# z0UZ|5uK;vQ0Qhb|T`N;jKoti<*`Q?0luU_|DuD@rz78GxNG$bIYlF<%C^s~NS~jE+ zsI?NEUX17&YM3Bb;-yNSTnj@6o7&>i*}X=m-{J{6{9$*<>+mCp9RLxwMB6N@To{X! z8<$Iv-=U}wYW`ge|GQL+=C=~~KO~yF0QFL_sz#*53Ly+%QN;l&yiHq zS<9O!7Pn<~qI=(S+fTjo+V!)?zyIR;l}|67ICgH=uA{SqYrJwB`*&Dv13oOEbm}~HJ=<6FA9T@qwK1g|H zIM80uh5}p!frC+hYY*y**3q@4u?=nGo6)pSZ0VTX(mA!cb9z(P^v3R)jlHuQ`{p(d ztlBiZddtX~EyJrf4lb*apo=D7Kv4aYwSSXfDrD`RpQi6bl&*IW4G$NjW z#bTG#)!aiTVI+(O4UcRTknJL>8=$!)45yUi)rccbWjb!mCG)GDki zF1jKOU~;G{z=m#!)GKf70UCP*q#~yw!m70~s;wfDOT+Uy)FH1v9x$fDmWWI1(n}2> z+aTwd6g)E|)Pn+zj0XW6DUU8-klB<58m@|rYT@4B(6RT38f#Q6B9DY6RWDib`#Z49 zDy|^aVF=h|4VZiCtM0^A-;JwYih=}>ttQmg5bCk`iYqX)!cLCX!O_?_Y71LwVku1w$lMH>=^7gyaWjlQmMO?Khq;!hz!nob;u2><=8S{R z803n=-k3fZw?-1~cruhq$1|BkCY#J=lc`K3p7aJ|u0YHi%LdbJzD$Q9Qj)pzd|Q@l z&vEPpwyTxr?+`|Mgt2a3w2c!kaKkxav>=JM%3Iphscs}QpiK@ykshhH9q_bEJe@LM zx76PQgnC5LZc(C3oazFyUD9lqJlzeYdQ_P~O@0Dyozu3@!=3YR@4PD41Nvf89a1Sl zEMTbUc$nFMaPbBq0pSz1T!NZIw1~+*h?YcHNraI?no~MjN=Hv2tQ5kILR7z~!NtbJ z#q}ixu}|C7qak-FNo55gD<{OH_@I=K($d=;qW++w4^2qXABOrP&_F~v7*!2KRsB(Q zUsUzqsptarMq=@t$p4CVD4`olAVUfLV2cj5$3Rjum{Ow|NU2a%^t34ZlA0lO)SovE zwdlIMvVw_|gJ}g7xfMiRK^TF_v&N=TEu{<+P*+674J`_C25v4{xII4Ua6&y&IT527 zXi*QgsE1nA!%59Z5*|&#<0h#Il+~QWJu-z~1LBHh|&0rcC&X`8Bmcg{SFKOzH8~YRb;e>WH z4v$q1>4JTx=$L7B&XnCVWzTfG zf2t!i(H)!YX_@Lx&h)2e2eWfS`T3FJ!dPj|MEkm_t_`z28&~#kUNyL7_3*&s+io9M z*`J+%aNFEN_pf?n`|3w`tbP394Nv}I^V3h<_x#fjzWmJNuRZ_ln>$~6d;hD4-hbn* zH(z-EsmC7PvTfZ!$9NcN1M7O##8E@@jGZ@vH1#OzOQNMkxT)Y!6ce7Un^zw=^zPR` z{rL4?fBO37&o|HAdTz%How1^d!9#?63n+}(G+P#Cj~_bx(~tl4^|$|d?d!jv|KjKK zU;J?Xi|@{VaqGgLf4Fq>m&-T)arMUE(OkRn%jN68T)O`Ah3h|mdgJF$Z~lVP;*;w? zoxAqqxvSrQas@@jcb{JV_WY&4esbZf3zxpSa{aHLfBEgz8-Mxe+-HZ5oqpoQUFh*y z7b$X$esmbZP@0*LiKDUdwRVBd$wyp#y^E`Nu@M&waWS+G#^N}IsWP%4grk7@5Dchb zP@@H4Jx^<9>g-HiWd$P-M!1XNX%M!`$V86@prskK(Lg&5L|tJe%1sS&q)w{EN;K7g zss?~-06kV>#LDzo5UGQ7ES+9yGFa_KtJPpN=}me>0UJ096Io^<$nEu@yH4T3D;#9V z(yTNxm3p=sVX3tgC5!_#b#e_=3Uj5fM6Q)XI;9$cbw<6(ZgF@_c8}WN1k@H(P|b2< zqtu9#=rLm5QlaJ^q558t=3cR8sTf`k=&AsHwOEG{sj&j6hL4Iuf#E8!Jg5$Jg%HMz zV7yR+7pn0BCF%+sUy9>PZ~_TVD5>XH_S;%~fgKw;!d zReXVn&tb)F$m&w;jfMV0k8U{o#?#l2?mzbCuANW6v}4QT-N|+<2ju*AiJ4HBlTasZ zoJ|4IACvMI3(%u2vP~h;oQJ>4E?%(6R+|*_cKJ$=Y-L=vsxPo+ZTsfO7oOPl!tNud z-u>|EyGJj)^X|v{_n&(6?US#)bNrQej_rK=_^$mY-q?5Yjs2DE`qRms`;J%6gX}x{ z+MoVs|B5#co!))$)En=8u=AZ0ukJtg@}46v?tcG;U58$L<9!quk3Y9}^Y-VaS8bnJ zyLDmfwhfPLTf1Y&{N_ieRzH#JnA1C2Xk0m<)Y`nBOeq~tB|QG1$>_E_JRZM46br@E z$yB~ISMI*;ik?+diJne#A|bKb4bfDv+*fhM*!s4K&7D)*&~#02>zditF}bO2d|hd5 zp>1My=hWJs*>$KZM%UdpzJBZA!n*F6x%}X;JC%Y=CZ1#F6V1W8488LuL5 z5#@Ev0!S{3>I#CIoTw%%sVPWn%d+||Ilf0q=oJ(D1;jR9LkqXw%c^mru7KDMgWPFS zIE^xwQR>tKPOZSM;kvW}pHUpN$owX$OE0nOBo>X>pcEh=Pr@M4>z3Bv`ESkDcZ(Zq zVJ=lb#x-J=t+@MlHOub7RWBpfVj60e;i~VcTT$6~v%Y$1J!SQRzA)vCPgLGl#HI1HfN;tjFj3U zCB>u-K{>&%pm|gr3nWs@0FhY66o6!&tg`bP3&1k~GF?h$${KkJl1N37Ynd7&-(&~O zPPxgYGP8qCKewd zG1T>RRW)6;l%c}#;08cXhRhU&i6YmNB|0jgrvXNq$V3quh9z~~Vg+#>W(8?nm`HpJm|1*4HzG8|2WBQbv^m?}R_?Q7Bn7`7P4m*xi3OmDQ=;bS>{fH$lTC5*AGGg%7d zx;)7a#Fvp8!#pI&K_YBJoMmibnUhRwOS3J}Z7Spp^9m0}>U$S#s z?VMH{uhk|f+C)j1fy%+f#Y9E5c^R%#MeI}(+M!DFAhAVGih<-T!Ytc`J$`vl0PIB* zQuLyO_lho*X!;_m-iQ)SPZ&be8&#sYt&4%U`hVsz(0&~5kLxN)zvYl_%4VrtZAIpH;uyNiYtV5Q8BJX(U^go ziWYX4TRad|44|(Yg?gf3Urf=D-i)Dv2II=%xN;<+9$VB!WuZm3qKM%vGLVLQlj{By zJh(W;F`hG`u9z;`CNc(;3jJYacR=3Z0m^PsXF%2$RSqWM;S4gCGmYo1qdCiP);g53 zjHJxtDdS|)IF&X|Wl%*JXR@Z1In#X3JeRY~=dEZ~70}j#-dveC&*aSL1EzE4>6~fN zIcD@l$McqvoOvK?8OU1E4CZWudHZ1AF;s926Y>}m zRqB}&6Mc!v{+6kM)bwC_b|kxUyf8o2x_YK-{mOyO^J5QeoOyJ|swbaZ_wa+O?prst zFflq&j10KtZD38G8b4-iUg_kI8fd*xLs_(-hKOYx99{m*~D@%ew=`23$&Z~o)6>px$-_VdLXKVSU(mkKSe|M>Bh z??1kB>)hpApQ8Efn{yYwI&<#k`3s-l`226*e)rSOFTOr}{KMy8**&xFes`{?QDdtT zX&U5us>(;$S1LXaY^)be1X<5ry>wAz$5r`+rk>)l+~*{rY- z0V7VRs}pEz1*jj;sL-~)!Ulb#*g_N=aRL}y5rrJX1#7raU1hDNszIP8ir_{-N0A^T zu?8;y>o@@F3ZfXK$W$Z%!VAHAzO3R39@>HEGL0P8TPzln#fI`mXK)%d1}ms=0irIW za$~^wO2M;lqI7iI^heJ<@WulhcC4Hq?;LJ1yL2Qv_c#CHBx1V2ru81d{Xx-VG0Brj z$&LuH-Y=YU3+8RWf*D+GRxY@e3t{Ezf_~k2bko+}?ays^e*bH4pZ?_N`7aNDaP83h z7v6pM<9!D|+I{Hs>xWM6I`F|8Z-21+Pp5Xjed^73PVau_)UH2$uyg-$6czusE6|6% z{_cra|8(@Fy@y|X>-`EUc2`jG@|#Cq+k5<}7yq>7!RMw{-9NQ@^W5gmYj$i|``|+x zc099b$Ln1qn@ye!nI+{)Ag#p`j0fF*uhC*xDUE84UZX=`gVtoXIsE~DGXklbcWwK&oO9$$T>1~}es4KR1Ol>NUuPu$PYMWT-oLb#Iv!-im zp>uM+eQY+)^%SA!f#%9I1mQUL|v zk|Z30f=kr!NO}RuB5Xum;R2dmQl=B+xnaO>RfPR;BB)8b!JJi8Kv)F@r68)$3$b}I zHV0q}5^Pyg*D0y*0UG+m_(37DQ$WaY>w|2pM?i4MnN|&8)1jh}dW=%9LF~~BJUVX3 zEKE3M*?=nTQzqO{#GwdUL9a>XM5M5|SwO~;m)*g^t&q|1T0UJ!#gl7SRNs3ScKN+H z%yL3)HR=jf6t&CmtX*+;ZPk*x>g9Eqs`{F0Tnz?SY0*^Ss+QoE-9=b&7l(*dvZ-bX z$13AELAFc5aLA}ufM^rr-2f>dp+=>&gp`)5q$w^XhowZHlw_AR8{}M-OauTjmQYFI zDe-I&%aqnIB=vL&kq(fUQW6&=2_cG9LsuYdwMnS8N_9@9-XnpX40OmKgsTPc60zJ5>9BiGPtFsBTRzPQiEgqXY zk5&*QQ~6CJT%ZnQ8*|X zC*9~{J0om&gkkeF8SD(B1913ZU(6CoyA%0Py6lM;wCPC{ z3fh+B4G}?2SX`F?@o5dEU}UsA`Mp7DZ%Ec1l6D3qT|r4VdNU~P3(5M!^1%o=6oW?M z>aiAhETtPwBcs{MP8S0yxVJ^!Uzs-1{<=CMZ(f|Q&=1Eo{UJq9K!*O%+T5b~lr?T%poO@0`h7 zP*F_f%#%6OWY#!wyFgpPj6UZ`);N^b52o}3|98@cfwXZjZ5qm$2QwBl1C>}4)9ts9 ztK?Hh28zzXR@YF;JzVyTwEIRn{iEH%@t){pZ*saXH$U3Cc4hmf4c%+zI%Y;nBOQf- zguUA)YzJ%lVf?tcdEO(KFg5q9@a^KNypqyl5Jla{%89<0UwHEDxeq@+_0gFlXHM=r z`Ow1Fav-W@v&>?yQz=Y1G@E8e-`n%%S2w@7e&dTv*S|P-?Tb&YfBwmh8|QD{`1Jap zFI@Y}#jAh&?CQ5y7R#+(y87LPE4Mzq^4-O2KU})`6PgRxe>i{j*7+;nUcB~grLfwy zZ!TW``uwFY&VTmB{INTbGRckisO^C?|JIq?24GBB-5tk+6aYcN7uft(6 zBCtjQsUew4DN?F93U#wg(+I#68A63jO)48vVXBuQ7(i14ptL}0C5AeQv0h@rNz6or znWC{U4Hnp83k99!gsUUr>PfgeW3G_XuGU#tpqZ?2)GB;cP^ebv$1A;!DknO?A%h56 z4ignfgVI>9G}g+rmGc(@uwDe>#UNP*(N$U=ViFjve8k4pR!Rs_>bZ&WK^|O0ke&@rpCog_={G*#kk6wBI{fqA&J-_ex z**(WU-gD&4-a}{h9sGFzAv9erfmnmAp~OcMLYUh zdPcK@v>1tz#R??0NUU0sNzFAvY_o!8RWNNJ z-7cd!Bvhxg*{$GuHGtm$25eB!ql$WHxacv&J7ExCKwH-ih zx40g4#gLfPEh6N2^&xhRm)~Fqn#~Gx9BENH|^E4yM+wF0JyMx^2}*yZ=sRV_tbfyY+iFiUHz?ygyW zXU&Scu~kd3)yuJ%6}6RAEw;<+s+ZNRxTkLEoej(HWD#mWHq{_yTjfkQMDwbsUM1BH zQQaWLBd2;L6rY3=mQZ6TDr8L|S(8uNguZQ^h$R#7_yQ4wCnIx}c#f)$31OPS8ai0d zRuK4#Mj>>2J2)yDp}I++W{43UXp_J`uG&okEi1&j<#MDNHrJXR6n8)nX;GyMsz_39 z_es07t#Z zRxdQy3rvkt8(rn*A%2d*$2NGFMmOEyq9G2d&d$)I((njPKAG9Cv;<&FP;K-p5wA?^ z;y_k1dYlml)FZ3!?9 zo@Us=)VajgpxV=72xUysoGpy$hWnsd}T+nJyGgR=JGAEaKd8?8eyjbF!Go%y9r{Fr3`{bK(>H% zua+G*@$(L0rw?_7uLHN$RMC*bWgZ=Rp8` zK!i`IXay6m-7V?z$$KlOLQqsF`xny}xy=T3Z$!07i$!Mq3JK+}qWIMws@{mEH>&N8 z!rf7IcSPA8g}P&?B@~Of-Bhz-Dps2$qY+nr8@A8Ry0zh9-(jStcv>1*;BMJ3r3p|q2j%1L^ zwWt~0P#P75Zt(&Z{aD5@ku^?cO(RL&Ao}eDo1;ekp9eK7i>1>0!enwkC871Yy5 zMq8a@W!HF{d%WE<-r*hZ^o)0*t#7;|INlbS?2b+k#%IS{CI(^yZIP~Yuq&YJG;ul= z*g-8}(n??O38u{SK{cU6jL9j;Q7zYNfx1i44Qof9dv^QtPd@mm6WUHJOGKy#V3NJkN;E99pz5m{O@4k2NPY2&WaOCiz6GxApI)38xho?R~_t8fe z&wPCO?76Gw&R;us{^q$)KRcrvwm~s`rod9{>|rK-1_sE-`@Q4 z*7YyHy?Ep6GoO8a^z4-v_8ytq@<)GZQsFCd%~6udiHGbYjhn3VH|qR&*juM|<6$>N z=Vcju0;5-Ib}KC|oz-r(S{znm&}B&l9Oam&E$S|Z>?OaY?6}@`0(PPiJt#PNx zXER#OM%ZWs^+u7-$kv(|S|d$sq-c#eB~mTbED@@z#Ynx>Oq4r_G8+*^1z>DM*`T(e zM+v#fX0cl$UQ0UYD8)SGxXY1r@oH#R=xHi5 zRbwM-Yy`+qCx@{TRh>j#55Rbdwo$Hcf($gsu(;W#wo$6V1L}IAat32r1HV%EY_SxG1jm=*g&7U%(s>=`TYOj!GL(e*@c zWFhNm^P4?-wOPQ>;4#YOzl(EfC(Mi;EwYE=(nn&FN5jDVLCHp+bhTT)#s#i%fUBK~ zc^@<#R!*jLW8J=ysoct~6MuN+$$ckJoV;-J#F-l>PTV+t?E2vkE+6>l(mQ7^9yopR zy$>!PJb~sCn)i-hc<1OR``$;f@zGlcPye?o_8&dF|H#=r?|<~>d#B%cw=$ve>RU%% z+;#AoSKfZ&g}vJ!dwK1Bk4?;PnOw7Ze#?DpAKG@`AD?>Yx!q5^a%_I{^GWnq3-KZL zfIr@nZ!hJ`07+os8boXfg!UrXb}5!Jhzfn zp@od$)d)jIMcAqi*_3{VB4n4xtw6>s%%iSQHWeiJg1D{#)Ky#o)Re^74iUCnRM#(V z7?zNF078LZ7hz+(+&Y_(YLsx?I$6@K>qt0C5q;7n3mI8yx2Q9r9&57xuyQKOh8dJT)Nsk7F$(SOOL~>bW zFd{&#bb*p7)NrK+F=SO}U0RFJ;tg5-L2D>z4F{DD2S=+T0P=c3g#~ogfT>DitCl)3 zQa4uOsso%jv4bM>F`=*kj&qPO3ILkfMK(H#hy$;4P>o)uCB(DEc%~3f>*K229LU9z zJLobyS!%KxDrsJK0k z(Gy1DQE^321n!EcJHyJ(u%asp^~4mF#L*7a8&maH7G~)BBIUqAa|*szdRzXNht9d9l2npwK+LuH@EEKRO05exlsu5y1arOzo;(& z44||KgTsrn7Q;z+cyW`B(X4(fXBf*?HomBAPF^X1Qn?;>XmPTl%PZ;hh}%7acDJB6 z2n@%-@szr<8(3unbIW9<3Oq^+8!C#CqGzPlJ5ulr=UqcN*YK}#qBlo!uF-;PB<~zu z%t+obnzxUjDO56Abc~f;6K$U9cGt>w=c+dQs7MGir z>}aN2ZH2jCUD5R6;i<9%{qmU(_e`f}y2CTo;hOApj+Y(ilcVopC~qGu*$3L~J$XyH z#heeAN)CBDLhpuZhY{kmoxUa@oUzb{G{i1(O;%0{DH%4MC?3#ulw9LuEmNb}mBYoA zeXZq?*$pwErX?^JV*+qq4WlpX-MVW0-GyZYD9Z+?68#y6ke`0JlP|N1Xqp~viR zzqxhmo9}=8>yN)&{_57@b5~w|_te58uLXKm(+p{>+(T0N=}3rajL-~GvObPSqP1{% zg(ig21R7vJRqJKLPC#pc&;hp|@tAdSo31TrAIk>UcW2hNx6I~(V=>2A*ft)tPWa8^ zLEC85J)H2hMLY?=%jtHSoKCgVDRnscHVeaSBfSWHOJWz9sqg+$Qha7fh%MWn13!7D`iC1O*p)Z7SKo0V3E z(!x@jI7%~HV`u9;Or3`UTN_mRT2NOj)7MIjmDQer5hvEyi?nq@s8%Sey5D)53za9j}m*J`@BjwvLt_!JJ0CKNQw#B`O!V1%*`c*d_^ z?@;bAiJ#E29<~a%`oJ||RhJzIs5xpOMMJOE5SQp1?#fAUE8Xme^NNR4@`q#6hl9ZV ze%WT9Vx331&I7IUfNQ++S)XDo2o1#G?t-JOC)z*X^T5*&zIpWE$qSc1`1r=@55744 z!B;2Fe17Eojl&mi96f*i__-S=KCa~WnHxtxyn5(^O9zghfBWdUKOOn_cmHz5dnYfT zdH2Mp?;QJN-{FtnJn+HJy~kd7{lMeTy|v@KV$M8n0FYk*NGv&_Sk)eUn@xjrlp|QE{{?XR1?o?|bS!``7mRgE! zw_O3deZE|4VQ6w>&9;G6_jRw_(mu5rwM6UK#^T6Ev@K0+Y@6EHIkTZ><%Yhw_3aaL zg@Lg|Temq75o>fL76*gJ-?jAK-~R5m%d3_Wi1jQMRR%EiDuK%=4Lg)+zqS}L+)h5E zPy67wOBJyzA~t#0Dh(P@TJT*ewp+~&=%q2MChpKi9O@wI3Y#o$7N-pSEPB9%n(|U& z9>C>++MKwiAjXtLHSMCBZgE||q+wW!x&ogU)J8c~9&W9bPeepCmqwU$X}VMPwx~Yi zk%djH4C;!wYP8ifR513Yk&d{wHLS_`)hUlEYE$@)G6yU%K?1FW4e{whI;ojh+fdo8 zdszc^c|*8vO`owK+L93ISx3LNiUePTodZaA|c2LpiLVweM zhCGP6f`X<~Md?tIGg4w$fOB)}BOoQC=aig4hgaScR1QSc{b<6fJ~U`2rs)Np+}th? zzsD!+^^5z0l7X;nAfgzk6m3@zp}P3j#6@LauM{#`*^Z-9uVfH?tA1IhTh!qaw7d8n zE?#dyJRFseCsh+^?NrV%T`*7OEfYEGM9wx|aE`UQM@!z3R`+nhHJo=2p`Yei2b$rW zW8_~M{k3C9Gn}*Crp2NwoD*gDRGWKcTg4R%W!rpdkru6Jtd*2(Xi!(omhF|Gv}m;z z=Q@6M#p%P-CC7BxIn##H!h`B!y4^X|?wBaq#|qYwjAbZm9>|;eipI{AzBQuDc;KQ{ z+>SK&LUkhuY1&3#@bjmvbo8g%4Pdh}Vi0P!Y4|~>Jd@CMlx^K5S6|WFpY>*33YUTc zvz8k87^?*5)6hDi##IBw2iML#ux{qQbu(Kw%hwg7I<-U+BESi*H7jrwSoR{#)=K*S*}Ko+Htu_G z^fynci@L-H5+Dc=073NL>!O!k^hNJPB|1TZy%&)bMRi-nDz+@yj>}2nI602vByO@T z%SD##*h%cfIp^e@=gyhAbKl+P#oZ<4+{}HR*Uzgn^PT@JmkSQ45wV~Bm*3x3z*=%0 zrfion-D^mY^$~^+=4%~twb`sU`|Y-z7aEKESBt5$W93tg!sc*lDIHo)z-uwjM%cL? z_pYUbEBW|XDw2r=y*}i5#0z*lQn#D$f|w550BGvf8`|Z-UY@2yWX4NfR7GGw=AwwL z6rq76F(XtUs34lk!c*zwYOTp)^?2NYfM0KeI7&TUpz0QA+WER80_2m&NJJ}Xm}qh{ z1Fh3#rKv%x)ETInJSCQ^>}Jb4nGz&jOeuzmxI)s&5O>f-T}*Kg z8{NiqXD3s18&fPtj^iru=pOF!Zl<)8F2d0GJ%d~vm5pPvaeNL=%GDUbO^N+$Y=gNf&&wF|VQ$&<>}eTqRtaubsMf?&UXMd++{dAKd-ZM<4#n#~=Rt z2Y3JN-OvB!))#+$@AJRjzK@{do7>D@lQN<&~U zkM#5$KyI}A_w3#KFsADWr60#<4``$;yH4o0$zx7+1_la2eHI4N9(CNI2-~HwS>!bd zVT(9mmj-Q8zeVgb3H@eq#I8y@jVZS=?$U)3dw{a2MG)7sl4@F7LC#A1vLb9o*p(Kv zXZh_#VP{3u)e!fLN^s*6d>#3m=XFKcM?CBf8>buK^nyxy43t!&#$r&5+$_RYR>~u;`Jg!s8>4QW(;(JK=^{oSo6jt+zt`;i0mxP4z|+g{|mT}K|p9C;MmwwHu!XOVlwEV5oq za%%d6hW>z#9MDo=HPx#ea47~r*??Ixs1wt*60T0AFz8Ks6R0&glqQ!*3(~}TbY=xr zf}tuggBlFm*ewIQ4W2%;hiU}5dXvm(GT1Cmm(7h%$aUF0UJc~onjJ)~ov3#X+Wc%+ zjOz?@?J&>cVhXzf-0i&N}2oQAvJP_ywg1y>cuO>v)gs9pu3kb9H zQMxHcwI;~sB+-!U1yV$9f~JjfHDQG@Y=R;le>9fJ77DeIk;(kfaKPy|D*!!Tpk%U z#@Ok>Q14W^)a}qhQxB`^;hjE;ohcThaRe3WF|-thZZctLg)~*f6?#TqJ5bhAMl_^x zfHY?yt(eKvIzma&9TBue#hpndHm4^R%#>j}t>R)LDZ7~^_pU1#WhWA5)y1y6ISmiD z;pI1c!iHZo5|E69WX-T*G^!knt6NB7n(^qjL0lA&)xE-slUs4HD-KrG$!z-g6JhCW zLOGWL7KRLqIm==eol3Eg1?Th7e9<{KjOfBKjZh&6PG!N#j2+2z#y*p=&7iG)cBh>g zvQH1$&}3}WS=)5ZK3jn1ijIY02LguGVQ>|JM8SrZ+Q=iZqbYz(Xf+IQsR%9ZWT61% zRvx&5{L!tsf&-E8Fa8_DsP=AT1L{Qa#)}BYKwMZ%{bUp zVJ8j5dHcYMhdF1ZOla_kE3&e_5b}%waKlbTHfCy+Tq6bdNX9jibY|Sj06+&t-7aab zS4jxzspWunt`yvwE^SN|SEusJQ`z3Y%+mSC z*Dqf@@#GVa-Mn(?`6r)z>H5<@x$)G`Za(?)v)5jE;mKe8hZ% z0s*ngVKTUbu3#yW7$3?k4i6uz*Eg%xwNh!RP*}@lHZ#c+L(#2VVxyQ|EoaBFsdOyn zf`ewSU*+}*U2eX|&GWgqekauq;sHyC1RVsyOB^JLmn3$OMHbW*Vk1Ff>XVrIC3=cT zLldj`YLmk3(16Ipj-4ViUlW&8LLEV)`^uTx}muLlOcsg@FT@d3rMkFt9WLN2?batx}sq2D-#HhtL9Y zj2609M^>o%Wy*f3x?iFrhyc7m{jD5!_CRMzF)Wl87!(ysf=G*8faNN>SdwlQLJQOt zy<7zjxtJyGri;6&!X7felgd59U?1c%MLI>?kNk%W9}U|!K-n=hec8mB1_e!zI06hB zcvv3kpqkPK4t7M@J>w?&>6rZ4n(=xbxDr=h2*}RC^3y)~39o$HCp`{JHem6LM^bgl zvTjW_?#Ps5wYib)%V%DC?dNZPc<0?a_dodHt2-b3^}Ub2dF$?9-uU$Ew?6s$osa(X z&WC?|`wo&ny!pYGzk46;toZedeu(?Mt)A zFV7smGIjiFbM1U-;Z$a7t1!D&TG*~Gofui!amDg_uu#@O&OxE5hfGFpuHS$3;fMD; zgrMTcfk*qW9n1l|j7KvnIBugP0x45&O%B$gJAF76QM<@*=tx{sh%oz@<^ROcA6h&<81jHY5OAD|n>rtj4 zSWHeVC4Ys4GxZ z>}l`V+tINXY0=~MJss_PI@=%ZY<~pPzNfomFRt?d5!*J<*TbgvsRcwxLkXCvet-;YE5bo)_W3WIAsrJ46YboV%7^`$1l-VAUS~~!D zKNw=UVl1S!`q&n?!0wYm0T~n&*?l~-n`?3k%uWdsqm!#~(4`<%WT%KglE~RFauUT3 zq7))1AcD%-r*Yvm9<0)hkt5XcVibOiD%7J1vLKm9+O%aB zNy;*lG9w2wLzbD0buMR{&)FC9;8NbcoVO$GB6`L)m)-3TvCrqgg&d+65aGl;k~}n* zcVw1oe|N<+I;q1kn|IC?Tnoc4wC@7Ruw$tJEg`Q(bWya=4BJ{m=2}>v_iBbgVcj@5 zs>V;~iL*A!qHA!*LK;`&5Le`6ePI>V1#qKIWg%v5mf(@Br=E1wBDS1I6*qH(T5?EB ziRcF6romyatd%s+4SS{wj`6&0G-qxVjguwARM{|HHcpqV(`8$$3N~x5k%n)4G%_8Z+;jMaUZKN_u?KvK5^JD zPlotDAI<6{sBL|6d!Gm*@Et_Hog^?*gnAM}g`KU&v0QaGTY+II@W@G}Z2)i)ls2r` zh!N zkaeW!ytS)Bn9xbKK%f=R@ltqW& z;t=ps)Amf!cr~FtA5bE$IOCI^^h&m2(Q&_M-7lPQiF0;I6jUc8&Y|ICb#Cm~g;USI z^5Sc^-hA`DJMX>!``hn-_4e(retYMuU*GxT>$m^#+xLF|+jl?v&8_=LUVrBvB8uJl z760gpTc3P|pyJ~{{QGBr{?EIA{Eyq8e)Hz-FMj^o``4fQ=Tnc}IDY!-)|snY=PsYR zbnX0&8(077$4~$4=g+jH0v)!k-M%Q zG6<9+GIOAVPU@f$+NnF+g5WXxv7LLnJNI_(aH6AQAKG^AxT0g%6_0kcKZ@yi6uAc5 zxgXbcuorU}-`z&WcZryIlbqtw(cK!VTS;-rDUf{7CTHlSY_X6-<8aA530-C4T6|(x zOyx`J18J>0!q?d;e0e`xGAPut6;`g!#kTvIz9`QhmixSVH|P#RnT&V59vZI)t3_`n z?Ffb;tH+_RIfW(C3khCY$LU#J@pXz4;g zs0LM*fWehiLotap%r*H3^d21GzyKiC?i0f?Ad=SkqXtjFk;YuJj;l9tI8a>_T<9Q3-YbupI9@r~ z#_sX)ad9y|FC&(eND@Gz{X9ePlv4pCXP`A*c6KI)>sknYTsIECh z1rwvFqt^A*mSJGpIIv)*tXe6vMq)*Ujf*?tGE7E`f8Yv;R&_CuRM61NPI}ovD?x*0 zh=#%dqE{eB*}*J1S>+vCR6P8OmtXM-%02`b!a6K&_$4ELNfSm>cMB>G_OOjUY^RlM zROIK^UCdFKHxUv~MdUMa&1_OXmom<$>vNe8w`5&g3-B<OE1@kR_m#?M&f8QzSfGbPR3T}(krW#<*kXawW(0EsZN$T zp$0RyNK2h!4xJMYol<6wtFp%xxl^+I8FBusAa|CVJxIn3&9u&gW}0#mac8(yW$qh2dbjXp0t9aEj*$ zQOq8e(=Q5!RjHUH7~(p8bdzg9<049(IGzJ9uoHw29ZZ4C=m06Q@&8z7fk!yQJ2wUS6GZf zy@3munHnoiWgS$S&>c%jefG&EN$>kZ1v3TfctFn{{&bsvzTK0&MSF#B*pwKNNs|MOQ zoe!DFZBZVfsbOw-#8)$#e`=U-77SMsz~cecIX~hG@hPtm-E<5VuEL_0N0xW0l3sHm zAFWS~%x$kf_VksPe)aR;zW2`C?|*pv_Gce_@W*#P_|tDb`1-ZmU%meRAAa-R=MO~j z_NTACeHY2Ec7o{Q@2+_3!#}+D>7PIR{lDJ(>i_)Y%YT3G?$^J2@3Wu1`tDQDymIQ? z(}*j!&tBbr>?-1lv)7(FfAi@}&%SWw$G>>;`QM$p`t!9D*IV_g=4w#`FOSIO=aXpGm%c;*LL{f{d>Rv@DIQLqwgL*xTmkXjYaB} zu?LJY4g`o?I+52P@EZkTt0)di;*cb475EKYkB;TivK(4Aq~$_-fx{$rTV=3Q9rEd8 zepAwC&Uh?{D++#VF=)&C3`2H#T+fNA2IC5HQrediFn5p*}0&nYd^N@Ahzoeru{(2k$v6m2N8`$0Vs+5 zjkw_;6b(c9xT~IaBNDSGUC0&e!)!jdZ{ww%cW( z9o=&mIk4I#Mo^#wIRL~^JE%$rNe=c&?O3s`SArZk`sMCEsT(hG<0LMe#DSAQSed!`q{87$ zFi;GIYtiUPEZ&I5YSCCZ63vHVX@4~AK}ZB^bxx7m!PB~#dYGz*iCPa6$9{Jo0=J>9mK})jVoW@&o zSX+qz7U<55z@1RSNfWwcHEVVGG-^P|WNCObhiotkP={=sf=617=*l~;$k~~Bkd;Sh z;oO~EA~F$>qHq=LL&Sb&d-`?4}(QAsYVsZ|XvEhPte1Q!z*kdotiW)|X?y;8&# z<8l3HM2j3Wg39JDEp~=QMnX#TOjxyB9Sa=+iK!7(G-K)!G@3>X7>Vl8ATLKpMwFv5 z zlL#Sz*&*!=lJrhenwgY#77Z|$*3YL6^C`o8(lCdJB4L<`>yaRKLS8<(dyp`oL78Em zPFbc>7UX_CfyOeCv`(h1Q)%0D+CDvGpF#sproq%g_3y42PlFRkhM>tI$J7usl>w)B z23%&-w)vC|vC3i|TquE4S?fq#KkV039pVuab4*Q~)b}H`&UYy#bL)n(Y8>u z%oj`x1>|x(OODyHwN)}UE5?Z$I6LB790@HoBCEAHlC@f7tr}db`&UQ&%VY53 zcyM|$J~ovZ9xsM!WlOHE$xUm@$2B9@G^0;zN3H^mi`x1Hb^W5Ueo@i5q!@WZ(YzvS zT#{5D7Y&~g#bzW>q6kk%LSAp!Bc4$SFoL9uAHL+9*LI& z$)ay4=gO48Ov92Lmjp{xd!kF_C7FXcG4DF+owrb;C?=nW2sHxv$pBW{lyw3?iDL&#@M z$Dw@Ml^b&9GOkz@a(gT$lTM}6iL@rR*2d7-nOZ9gurf4es>(o?>xfcKpHPM4DewYS zpGZfP7ztuSuRw?6X?ywFKB1N8)0C zEf-sWEmH=5!@w&VxC!Kz$Hi-V4~h@|z|r597n0^p{F6TMlSA?sE9$4Sn#*zRV*$-M zzw9h5JniEi_wv`hf+e501#3z{Qy~S9PuAB?Z#{PN`ZKTm>{oBUdF#UuZ+~?6+gK}>u+6wpyD50@tgNPd*g#I-o5+v zhoArJ?R$TD^Y-swd*h>*e*VVQr+<3#+*8L-U)er;<>X^mw;#W}_4vij#~mySOBa@Tkv$L~H%ggJVD~KyLwpTV!F03D)T}526w(E*i zwbhv0SUhq0<;Kdn;>=cQ?pSqxvpTn)sI^?lA+5tn7YN#V zFyH&(_rCkX?|%0O-}&J~-$m}BbRt&4rkQ12k6sqCDg7piSI2d0*|32VH1k6i#28$! zj^hScZh-C5aUD7Vs1w-rLJ+yqp$@{vSkRh;%|mW;&SNPB!CKT=4O#O}b;`t#Yw2+X zB`)bpBCe3&vSMseimk|TbtS%mMA2K9<4Urgyr?rR>fGDiwGWH%19K3EIfU&x+fKSCDoVXF>E^=)bsMq};+ z%w)h!)0#LMqta}11^q*XWVx0qRYT>fXL#6I%s2~iMSS){R6ct= zpIsTsPR28pU@GbgffkR(=$2Z2d@#fSLqwAg1324NP?rMgmO;G=*MJ&k=^|`hl%WYx z75)LGpP~v-G{He*j16Uka7huV7?Nc$Q#K?D0$-MFPxe@c4%v#2*y{(O3eJ_Mc~V?g zMB?yj?2t^O=5tweVy}`-^l0b>7rzWkt08qgW+(@gMVByZrDtu796}2xC+`;Ky|TPd z6}R&JYMMhxfJKC;gfJu{<`v{&HMOFqB_$*u2M^M^ed7KYK+k}@e{@9yx%K-MBWR5* zw2H+@P}vB`YknDW2JOe#T@n&i?Vv){K%;)(ipT?3jPAIi6<3ZYlsm3aqeU{~2raa& zpb~Y3nOQQ>nr7ORjW%x`T(k|W*vM1*-h!+%$UP7g9!V;C@`nDRnLKPImuv&b-MoP@U{syVij!4!b822*-N&zbxFr{-;9w2A*oZXhuyDjD9Q6rX zK2gKPsn{6>^FYo-&KijsLtoC^U$9e32v=O}x<}aXNt=E}E2No-=q94bdsa*(f_A=(Tw|F`Sf>)! z*@R_2ZADzMSc0Z=wr0Xm4r*#HansCdX-JcL(zFG2#e{*-RP{u^B zTNUrgdhlc;wAOIV*346N!+aB5X?c&ff=5S#>-ErjHFUHBua(?uW#@7gTC9UJbw{J@ z$QNDlVjx(~dMcx?kyX$11$gNt&&tc-(hKIfXZ6!JfT`=6i6^yFPw8iGm=>Nj%s-=@ zeOfvBlyv;6uz8tRe}Y*#Pb;1!XHVjjo0#y*5qJ&*&-TGHgYXR7J0WzB$(;?kw-k!?&TOC=IDROR(+o- z{SixYNT|RmG$geiuh3(q`fjPAR{;>!YKm6H(5blwwZdkw`&{98G!c)6yiSir=eKIo zUSlP0ZKlCy25M%Z;g~JvHo6TOlUA$H8o62<3xGI!h;MdsjSx#`rD;qQrM_Q^_(4Sw zsR`(&X$FEAp@oqsHuZ~*{SpJZQyX$#gz|$V)C~&F41t|4hXyqe#Q<60ST#RjV@l$E}6EOr80O|@q z|18Wr?&Yp|`12k~D`coAU5#pHZENMyb2nc4&2L`4_3k?#ef-hA&+dNu`MrCe-@W(6 z?Ym#U`O&}r_Rinlxbv4c@BHD-+n@jT-Fv^e^}rRc{ZFp==Qlq_zI@~M7q>q7>YY1( zKrVabwReB~lV4wc>ZOxsuN^;q`NY{Pryjeyb>_m#@zXQw8#4$M*3ZtaUzlEfY<%I& z=*)Iwa;-i-TW^hxO;67*Ev;;9u54^AuWv7}pPWB>d}eiX>RVSN%dPtC#=`dHQ&)eo z^~6i-7hhO;?78XfYt6OCN^{%gxvk3lW_flsT&$YmfDq6U>4W=^9Qw|8|BoL&^u0ZM ze{|%?UNXK*OeYz|Y!@JjfSR;NABB|YLJtE6Hgf%DUck&l4!nAf2cdP&>HiZ;!Z=_Wh(k@wV1OOwin#mv_+KAF=MKMsFaY9;D@C6f*fCx z_f-`;sMtwe*^4lvDDBRQx+4587pvPq!|IthBe&Nq?1NMkpNSQ92@^hPDxl1SHJK2Q z3F8-4kb1-siT?nOe)ie<#M5H*q3lP zLk7^VfFhq^N>qRfwbtQ}qcJ zm=VCkibz?XEZegsU20emERdZ!3{*S_RvrQyha6?1JInXQWiGGEY6kR5m5eK9Q@Era zEtd%Em<6w-98gq4ntDW6K{x0WTnH6!Sr8i*^#qRLiG(TXd^5naSpNG4+Fwj*N*QJjLJ znNc>PhR9a>a8oRW)ObTE;&;^x*o{Dz0$^zcXBygI}x*#`3_a?aSFH4?IhzPyDr zY#%5)=v5b|<`Fb}62ujw0d*^ckU%vam5;|{6LBPRBq%e`Aiz*hCp6Ou?Q~p=av}yy zMFCV4NFt~!#*rYRKoSMUqPm@8q=r#6dZgW<1uBj4xOqHbMuCw;(@I(rv!!oc@y=Mn zx|>$g)WT$ynzL_KCEq5e15{q6`V@M*66#e;jdzl``j~KIpID zcVtA^kc{Y5QWK!G7PHKj15*Xp_>g5R3AB=$iKKceshUE5qc|{=Ff3=GjWWDl4T1Q+_c5GFBC+ne8BjL@4XSrcp7%{JmIX1?9$0mZCqk;8$;AjXRt)B%1=_(i<^b|V@BB)nj?-AI# zgw_s`rCnm~k{NrH`aX@0ZZL?fCW*~V*BkIkUAIh&Q)me)Em^Cj>j171klRgGuOko* zB;tWY#GUlphXU4O#9mK8jg+I7bX1d$LKKYqEHG%WnhZ*viLJIUH8!>mL{PysK^!B< zGT3PvGf4*Eg-V=2g%fCSLS3&=-zPK>ghqnMM3k8NrADGePY|Q_Kx=}DO%#cJKnV^4 z5Y6PUc!GsQ`e>=V5D!gy%p)dILCcBD2Vp@!MCvfMKMFkhy*RmZO3gUyS6+;YpG@;^ ze|i7@??1i&jfAgbn-v029Z{7L*@7}+^ zzV*rLx9-1n=gar+{`s9dU%vLnM?d}LTQ{Ho<)v#c{C}=EclFrm3(H$4r`OgeS2iYA zj!!I~o>)3Pv3P1?;ndj7dShayGCDFkH8Hceu(GkSyuP`(wl%-9J-d8tdU<1V>47Vv z`H}ME+U(}V?I&J5cIm~9i!U5K|NPvEr^eRLR~AlI=8sqAHioB`;Y>jTLJYC6heX_S zaQ}b%-goxxf4CcSn9`5sGe}w?9a8gyR>hFdP>fiIU?A#{hwQ?jO%Sm1k-%o2&&c!Y z`5uG7trvRD(y&vT3R*KUC=~(Y5gYQj9rhT4pf(EWGCoTs>ZnBQc`uN*iQ@)#Ofwjf z6B9B*RzWPQ`fIBGx{5HO=o{Htsz0J8)RlOY7Lx9SpvS|;nP_+ui(uuGKZa>gzrf@OtJ?0Odg!xf!A9H z3?{Zwr-qE)kYhL(7^_Am>*2X(XtwH`$~eX&=2p<$3fWs>R}pr?kWFVWigZT0&WzVt zv49n;v0&Af9+erZG+`CSZiT5+VQy2JJEV4u$c5$ly1DLlp8XKdbVz78EY%%W0PRXc z7xEH~y%%}7kfNgK7kTi=1WPcs&ZM3=S`yBOdSCQ>a>H|Tm+h(^YK@H0y zrRsS7N;=LWCi@NSj8|IlE6M>?EvTu$vXWa^gxJGQ&aj&|?B$pI(sEE$j_7h8dBVyM zYUvTxKwLpe?YcrcSkW=ka*Chd2eGhTF)<9#QZ`P}E&kROnmU3OSlalu{N_$)g|rGw zY5`dzBp*T7kjm>jsUe9XEpkTP+^M%YijJG0HMhqiim|A?g(N0Nfw5b8JE9szh~nfI z&GfQ~Hfp2Kf{X=_wqTh zcSEa!=tPS$M6aN_K-Zs^T}W6ZC#&LOqgrrr>P}AG!A4L~vC)cVO3p~k83}n45@N|t zsXA#54|~MRAMpuCU|G|zL|ic%(u|=+%N1k0?>~+lC|WTk8sry=s&=AA6VV`PMbNn@ zJJF3t^=M*-R$Px{2Nk;AjG_h4QD*FPVi?AeB#eJgD`8B`7Qc1H+haTZ8>4aKu?hLj z^Ni;%q51J8`tuiQ&tITEe`)ZACulETVLW?@dgF2OwKIe#PvD;3?0ROc?YYhN7q>fq za;EFW+K*kcZ(Or&T(xdoL1J0IYF)o-S%1>L zaow?T)3bilw|Wy^zUg1Q8Jxcvn!6d9xfz+d8JR%Z8$1XzEW0VoZOHN)$g#Y%ft-}okBXZ|g{?Kg1d`PU?f5FMwaRU+awgW;lSf%I8?5CM z+>LYm?F)ia7x?Eca8EtPUO7P@UmvKikQ=K5%~k5y8f|i&HoL)CKF-`c%|7)Q=fWl4 z)vJP=*Tv6X7vH=leEJFglNWhcFYqp(=UqC_J^wiSvBy~3r6Gt8&9$yYaeFRk`Gw%B=Uwr#t$cdPotW5eIQ zG=AWGiE<&OxtJC|k!D>^Q_n})r~JZgk96C`-G&CY?Bo^O;Ea_$21>>v*3seU^xWvV zD;Iw9n_s_q@3Z&sefi1#ukPRf`riFN-n;kvyZ65Q;M2d{`t)ya-TjZZKl$rBAOGo{ z55IWh_Gi1U_|;pVy!z%R2qgZ0;~;N-@a21-eErd9|MKp~f7%%Y`Q7zre}3`Gj}cdF zBd$1e<>c8bh$~i)pPt{?nprzGxpI7b>BQvnshQQY^G6?_Ts$^1IWyd-j*O2^FU+oP z99>#lpI_dXSvWSmuraxCbYkJb{EA?@RvcTNT6_H1h37XfzOaGj#f4K(k8fVAE}gC} z952tU7bX^5iIl{k?`I6QyvTbUF4dR4LQ;Jy|8Ru}! zl=f@l9$CaG4uZmfP2jf(V3WXS5P6Iuk3r28V^P31 zb<$%jMWAxTp7ZHapfqmcMgdw_*`HAK=T)S-cA%-DjHvsYioT|j&{PvfHT|P%VqMu+ zmSNLE9L(u6(}-3!1r!asRV=@SkGzv?OcxI+V7Cx?pa(4+hgIOTigYq6pN=769wBt@ z!L=hKINa0Of$hfNdT~@D;)*^cjmRZp$cQTr{ivsHZ%-HEicSosy{oIeqw`2-$AQlF z{ax*QF&#Uu=-S`iv9IgMzK(-?4<9(Nf8W9V2iw}au($x6Kx4nY{(dUGpCKW00kY6a z5!(i&wn3$x2{^fCmjLt$oDqR1&Gn?IU<7aW^%_Bn*~GMHln%fXFc(v+JIA= z4l6AW$*p^(t|OvgH$U0Q3m+0V_Xv#p#K1v?`mjcY(V6;;&H+n+4ETvsxR>i83VbAy zpCSzqmHu9}52N)Q)Ibkutlv?Y9#We3D=eK#TaOmR>mahx!7w=lMo4Y|b$Y8!Yw`ld zv>j@|@GL@$Ok$xlG+)V#X5+)rKq}~s`&Z)qL9_X zQY6)|v=TvDSpyvz0T5S=MKn8mizvpz^0BaNEFv9?$XZe4K!%)Yg_KQLQg!kWS5(Zj zF*|(@VlF_4E68)^zA+uPsKCU8oe5b_9_X)GX>~ijhOl90;A00Bv>K9KSJAe*GDla-D$qHoF?5B?ZV*{D!@C8+6g#bIr!ttP8QJ+4 zi0*>HG@dYxr%bJsaSWve!U^q8G%fTPK-%%RZalu*?j)gW#dV39{I{-nYb=g9M7L0p zBPagj-yYsM{a^X7{O`!${`|fF@&A11r6uX5y!d>YelAWt6{2o=*_$r@Cdk;dkdB%N z3r0%Iz^GfrqY>L!HMOuh^Tf?3e|hVj+kgD}<1hYl@ArTG{Qfuh?|*gg?iZhYin`+6 z`~QCH{(pbx)4$&Of8sdsKKmO$#AMXx){NudMcR%_1!_WSD@5}$V zefQ6ZE1v)9>(_4l^!yXgo;rK&1nLSjh%45&&n|79m|H(SwYoLFxHYwMYH{erj!Fb!l~Nc42LDW_@zz=)~;W_}l|m_+q78V_{Y;$OlJ-_Ia5m$J$NfDqJ)1E4w$n=-I5?ofuzf}oBW(hf${?W2oA^P8Bmyfu4xz=!R4GX+1zDpQ1QZM* zyN}v;xaZIhx(`3n-G->(NKaRL52mB1r;AF!2?hvi28l<&kUREc_Wl5KXb)Pc8-uu_ z193%XXIp2-LA1Z3Z4ahxZ+H8?9>f@j_jMfDdu0FKBL@#3If7h)>%^102begfu$QgC zbAdj-i6}CYB$fe%jSe`_-Mc_P4|zg&r`Yb)AQbMmdP!!8VYLWAJ>WL@g0@`JRn5Y+ ze6UuGRx^Qe1RVANC6BJ+x7EU)n8%|tf&&tBm(YAbWc`r{d{k<0lUs2rGf`tEY0Lv! z3qfP+R73kzu7h&8T@vXLrZA#VhsbqAZ0b@P@j4^LYGgYd5?@doPRm>|z9~poc+b>IO9S?^@%ogx6#Xlyo( z)n|g@pgZe@v*A!C6;BN%g0ZkO09)N|o6~KBTo%x+bp)lZxX7E9`qIk4kjkG{xZ@Hq zECnMR2l?oUJx1Q*#q*8!O9eYjcb1Q!^Wrv+Mup3RfsURGk}NIlJqMV;5gUT(NTQnc0)q z#*bZWuAQnaZWJaFS0qFlHGZJKyBE{eap1_IM<~P|8J}(iq)wy6XOV^>Sqjz^;>OC5 zwU{*J61q%OJA@>nNd?t$uPWkDgh53FQbrw``2Wk*eFwL7<$0o?H`Br04oXbOIR^qn z&N=6tGYFCZkx7CCn4>6>5~)n(mTg(iIS0wIY+16LWlM4=ce~v^J+u4jZPlyVKek@g zyBCzZXSeEGr!L70K%yYr&pG#;-|=X(0pmc})*rUUefpqN=`u@98m?N()XG?Py)f)l zMx2U(iSJS~JxWSYO^K^185L0TeM}sUh#(-lkX<{F-Mf&G4kV-t z0qcarJK=~@4A&S+@v^oV2hth4c1ni-hyFcU4WrDF($PkplTdsjT@^Cz_n4hDu$59QIZ5o z5<*KnXsMN^vkUBQO~_|U#eze*bgdK^$XO$CrNb|=`1l4NTjQrIy+pYOBXgsq9=OB{ zlX#I5FIMcuiM?=%r$gr6p>XZdc)Rogm@!B(1o(QtO6$|=Jx0CTWOV85K9w&h3x-AB zAlDt>*nJ{fKw%9kts#*u%yLE;u1K#l!gfZujtJit7FdIFXUrNN3}x$){!wqdWD5+a z9Z9|+L{+#63J*yWq8L+nLmH|{?o`CP4LP!}CQi?2@(YIIf~7id8CkJ34wxs7nQH6C z!D)TG?2jh%QRj3-*#i37dd!e`cS_I|;v?KVd{9nJnfr!(qG6w?=oOW{qKa2k^9x4; z{CbdI16&c{Rl<@=Oj$|lhQrDMz!i3WN=J*yFcBUkBS8~-X?TX0^xG&gf``*V`OxaARTR{IBFhdONq=U02Qp)j^s*zH*cN3GwSfDMM3EQq1_4GCZoUs6JGywc2C8I&vXsGRqh+-6=R8%|`lQh7w z7x_d?HW8OM!2>YkQ5h(xb|&Hqa6Sge2Jn{#2w@_n9#3n)@?7BE6WK&U+Dyt?N%>?- z0Vb_zrR4udfbVB#v-j77eEwl8t!$tRYi}X0y$QSa2K2)>VIRJQ z_~;$f)i>dnUx&Q&O4qwDbiDWMt}9ROxccnQ4`1B<@vD12dSTbKr*~X^;^B8MJ@Uq- zov%E(>+R=zuD*u;_#NVhZ(**!0lV^A_m$VWz`Wjd^$p0iH{l<>jk^90`o??Mo0oAn zE@N+8#(=qkz41Qo=KJ^?R|q#Q6K`H2eR75L>HFl*fLx_~c9s0;Rq`iSi8rqjZd}FR zc%N`TR|q$+5P|b=yi54_9sEacVn28ddF5r;<(D9rUxr?J75e_Gu&b}aKX?^!^%daz z$jdJy-+dYR&daEGUctQcD)!yi3Gcm0diPE8J8zQT2J#m5t#{~ez0>>Vd+awZb6&r~ zfAxysl`F!RE{k5gEPej6;<+p8XWv&o{l5IEtJ0^g%AUTeeEO>9=_~4|E-RmWSN_t6 zs<%JWUHjJf{#W|gO)2FTJgL>>b5#-jSVoS92KbYJo>uivDZb9 zy(W04*9gzOMttUV^3$)ApL~OI@fG5Q=P+k4!OvWToxKD* z_aywWXVFi-OnB~1+Ouy^pL&&i@g>5e&tcC!g+6r=(GK$T6UfsSk>K&;u+vWfkAee_ zI{Osz^wXGA&*0BKgSqf5^5V0wr=Nzr@MQO^mpWg#*zxpZyPvqQ>xm1yFJ0Jk>B8=3 zFYJ2h!oxrQ{%6~7xwnpR&*!A4W9%(I<#>Q`B*@+jat^v!>lXT&k+#plUG>ZMCe3^6 z$<@Wi=E;pGUw`@P?Qg#R%YS_H$G^2*@xz_lKYaW34_|-%!{^`pc=PUGKfd$h$G5+~ z{^jpJ`urZ?ifgy-fV8;r&3hk%lPmtWx>#QTuK3dzcmMXy@BZ_XFTa2D@~w+czkc?@ zb0^O}b!_YLBgY>FX>s)Y`sS&X14rif9h_YSvN^kYcxriLVt##WdbKh>ov&82`Am7F zI62o`U0+$*w{Ky2ZD#Jk)ZAKYc3*S$zAGHTT&6rdv3v}0#evh$Z@Xge$)^{NU7R_5 zVPft0$nyH|)T}$15~!3IG9HD6!x0@w*iJSLtCes(CS}kjk2+)tuPhr<4JLJktTCT8 z{@8DT(x8sZ^``N$FDjq7L;dE>&7Xv5kdbsmn|F5oJ|Eg!_E@)2=1hSp(p6=bxH2S9hT+O_d^JvL z#w*=;Z2)f!;7kF$#otDSi*I)++#a*v>k0cJ@jyBgj3k1lV1VcFgBz5aEIgA=WYS74 zMup8HHrjjD4xHGD6uDs{Z;!|illakcFH!BGYCN=d=(-?PAEy|zBwZS(j$`CuoZL^A zyXgwM)Z()Tqw!oiUl|;2RcBWk)#h-zl=39~rl42hbn^{vmdZ_)x(Ff{QRpKJgH&Od zCJfVsA&MXf7y2F%d;U%0`k5;5bA9vya{^*YP)rG)KGvu9_evcUi3O{)!Ss$Uv#ZPG z=`#7CMnAz6W*K8VV~lAI6Rke1)rB>=a0Vwy=VBV%T%%X*iiXm|6PN5q=3S ztR|(*%z{@i8dptajT1>NSh72+7zbBFXs6TKR$2>OF2}cf*;!31qnXI48)?;8S}~fI zkECTIX+u(M3F>~)NI*6kRE~wz zqait1z%wiui-;OgaD%f}Ogb5tO~vJt?X;q@RqHDSU`p7qivO{6gyw%UitaZq6{&dDdH z^t_s1JC}7eUx3`;L7`Dw1TW5#Ov%{9TvSYF4 zS*isVDuLNzaBeuVJRDmur8Y|G^>T7wCAv}$Emi~b;Ld2Cxw?OT1UL@Pm4dTF{@H%t zT-r0Abj^g#6CP#V!mXQo$L-8X4`a^TyXxg^cm)St!o7CEoK-Mw6Hhr6lV1I#-#Fzr zO$Dv3pk*RpYWR&~e)CAsUJp6T5q~}w$;DHtL@t`h2jV4nvSH268FKqIL#xWdlB~EO zE3Yc5hm^IG%IXP4^{BkE8QOP#^s(nQ-g{^H#W$xOf33dtQg-b{@AUK9`ZMy8i~O!@JL0gh!PqsHQB+Qgl!=sjwma#M{j-+V@ z2UTt6TU}az$Pfsry)KE%EOuEWevdd3;)P?(K$7UqU@Reo+yZ6Gz+&ATF`6%>Ym5?a zz?>bh=7#j?K~=n8;E7UoE`&f2mH_1&;CvI5qwVfhbkfBTwiG2$5@Z^J+=5fMv8oV7 z z-17Av5A_|1a5g=C2P~`uM)rnBayV%?TJ#>C&L28BxAo}O^Y6a((cRyE^SA%|+wcE= z=exh$`R31ezW(vsum1h^SAYBbo4?+?_m}H;|8)KK??3$F-nCEf0IvA((|gx$-M#wB zohvuNVw+$c@Bi-1z(tuf22QH&48L>fF;O&pdhj)DuUy9zT5S0^o|Z zgD02vADRWUuySB--=T%IW0T7V>#e1sS}RwqW%5JGT%uUZPtHy3JFv2M|Nh051G5Vo z)AQ?-|HT!aL^)SqnAm$_?bNet?fW1H&c3kk)HBN`F3lf%bZX<|_`c2R{IWlr6YF(2 z8U;hZAW;zD`pcwZWdfE}Bk@|KF}FM$QsiRlp`^Z$F_m(b%AmcLca9WXqXl<;$T^%e z^#|2ypQ1mY9t`US!}|V!7GOrqsSMfV04=OqoG&~<-H~aOE0BqL?oSv zV381Aa&k~cj7xC+Li7+HIn0BXxv&ZkUK66~5=>nTmfWlepo2VUf&=rj;cgDvDZtyr z6upov;}Llr0)vhu5V{eFoe20Yuyhrq0}XB{)&*3#D=3 zw05%A%GBEgCWpf6(m6b4x6k488{B@L#e>zl5Gp%bWyY!WM75rxG14?08KD^pX)cD9+A4Th<>B9_Ts@F0=Gi8ao1V$YqssnV5uTSIFI77a8 zaPw*|VUagNTvtvajn9S0lvhCD3c4}QawVn>052*{1 zwPCt0Led8?MlaIf#^{_ljf1Fm(6!D!om*xLIU>3A(8%C$Bb}{8qeE^_T4xFilpeOi z%hHCK<`l`ChU*hMwb34Hjv8sm3VThXo35$j;pH>2l{1N@Q>lfm%=q41zBU+*jD@YM zF~!M5--Z`IW9TZ1f0YsJ4D;bG9x0??WXznRS6K3jN*+4W@%0^l-mX-tUcv{^| z>sl#YGpT9DRqgIPI9@Rx75y}1A#RUg$i_nAn!D`^8@=UbEe1G?-rhMoY07{aQNxF% z(3k*{lp+VU1OOEk8>3{S4O=NditQnbQd<#aE2(TDZl`1c*P<4!rVQJn>pfU)jgb=mj|vk^@~RW zl97O@?gzCt8WfC$gyUh+L`2+-N?Pr-52Qfb1UEhd)FElbrC<`$CKzylVmu*jBqZa2 z0ph}DLf8UnA^s_n$pjGbWPCdkFbPTj%ulZP?1RZ9_-v>5{^W`exH+0K zzqOT6)kC~tFKyUM1yb};t04~X%&oL~s$VxdXq?ZR=klgmAO+KW(Y9E2Emge>W#4?! zKR+B;DTdcd(SxPfS}D9*3NDxZOI6=O%{x~I;saEkxWw41r)?Opfw9rbb#ySe)voJC9DyiG9gme2cj^FiZW&@>w~0qtDKI2SU^ zg-x>&%S_ZZ6>~KczD6=sPe#khL?M~ZW%8;1dStK_9BO&<6RzQgt2pf{FS)Ag_R2nM zdBt2>ip_7-j-Oe6`pM}Fml`LZC~rQI+51Fb`jTbzl5Xr##n@T#*p{NcrLCMW7LV%+ zN7O?biopYtp##GFL0T3zWms+N4E}a ztnVG0U5wUe^#hZFc!TV%5q(vDW>jBox>_^7nWfOee&@uZI8njrqbP-!X$s0cF_k|e z@%VU7JKJezx_vZnl;TZNJZXwMi#Nv*3Rf3b*U_i$;;Op^YK+RvwEHEIv@DjDMl-+x z#}%gNT_}kWA<`p+2BgpgiVAANeS?TUL>!5zo$zJK%X)m!)e;fkAI z{_)n=fByWNAHTZ$_v^QQ_wpOp&prC$2>=zRpE!Q%@uOSdc*VxybNdf$E$urzy9l~s zcK_zw!K1B}gZ1W0p){Qvs;B#N@nkq(%8gHtE+1H0URzz%uLYUB9W-u1{(QEsu3SS&1s zguo!-@E#Ho)7MK=h&VQbFzS^J#sO653Q1!zZK>y6oHx$(mg!CD|KH=7Rj539YMWf=#L}VWWFXNKcLaItgQ;L9>peh7J z1s`V=U;`pdzZg>xp^AVj`g$rHSWSScN$^z(wjxHBM6kR7($9w`xBx9+mR`7$ju6sN zeN;4+j3p6~cq{~i?8G6#>f8j_9z1Lh4%`8x6AkM`!MfXPJvtze9o;<-QcxXI64J^f zNwE-W*Mrc9{spr0mpz>icSCn~!*+GUclN+{bVDBO?tY-FhP_eCBZ0->oVPXSP ztj9?7WT}xMH?x&CuF5IUcvxyTR_^E!TX%}gyG5owVq>S+)GanaL?)=n0u|YzA{SKT zfk?bPG9Og#L#TWxjSr*s`}jg{@QR=ukO3RIVaGNRe*f_ z7_}eS4p!qKsohkyldf_0YMeZSSK){mgM*e(-ryZnJNhM-B*ze;sQn}j@YjjaY#E9* zi#McE+7#YA&>O6Y2d0dp`+bY2(ubeS9(*jdcq}%tH&Li(Vv&BkX3Q;Ki}23(vkr&x zQ`W8l*#j~0E}sx-<5T@gcFMvZ_DPCBypmy$xa?82~EqWeWjF#X_tCF_UU$ zQpHFp>+vN$u4KTMjQFw%_$jGoqtw9#CiI$%S#$S-Q$4+XH7{U{zN&{)1y`zaNBsQJ z03QTKP|%*?2?mhH{Y1b_M8y*^$^FFJb5>)LMqJ#8i^gMui8vTQ7frwzfC|8fTTyW{ zB5Fm%t%w9nRGMx53;kooLT$KE9xfDyhw{Va!Q$vZshJ)gkLJe$gY`sxVqj{vvUj<# zv^ub`mYF*kojT+jKk69SGS!c1s)rSoO=abyGk@qJN%~m?wqi=!pfx z$Vz&3t#Wj8`0%m8L#KlChsD_$xS`M`Pf^Voxj&~4XT-iJ$L*s!d{|ouYDyq2X|g@T zb!C~>Bw7>NEp|U5a6BxuJuI~Bk=vmW#PeY`^8+*Wja9_Ql^n`TDOPfAhmf z-+ce^SHHjc`FA%zy?6cAy^n5vckSkPS8v|Ca`WE%H}8G$>39Ed#jUTt|Lm(jfA;l{ zUwr-V*FOI33$J{1`uq#WPF*?*pyKp}!&~PM9X)$+^US{W6U(bd<`xgk>^(TWzBzUH z@WkrIC}6+hNm zW6>lMp^rr~Xt+_oY&feM&KQbGOF3yD&jn`-$>myZ|443qEVpko)f{vVM-*8ms+`eRv*t?LT8!HUL-w#urxbAs1RM$lqY{uj8b-n%Xt=jqPwL4HDpg?OkN`Cu3Hmt8$S>+1Mdz!g0^yP!LDFwYGtY43NY*6A5++;2EL%iuk6J?M zSZ<(PD`p1<{lTQs9G2_-T;LKfw__A0h(fztrR-GdyOnl;D{z?~Df6RcL8>9lamJ*f zq%xM$CNuhMR+~(y;t^#esEP#D;h-`Q;MrVMtraUXqU091+y<37AaX~y3`~z4td;{; zxL|TGOcq4QLU^U0s`4__E{4jdXi@}C0038VI#)d&UlPJ9_5cm z1mj`hL|8Nt5={g}&7im$lz<6IGZXh+LAdq7cu+bXlAc=n$rV?-#-o5<1RyFxg2}L8 zDl7sr5#Wt_dMgepz@(A}U6Mmbl&DE9e!)PUP!q}$bUzOs7a##!y5zWiE3*+1uMTPF zQ<8}w2P|Idpp`+kQEFgGbABr(nM%lKGphN1Es(i>?ZSX|anP_lWLn8vRtna=Mcdwz zZM9_ESGMdgTlST$`zp4*HOFe*xl(s8jR3T8&sLmsRp;`UXMZ!WI_8}nGLA)MWjC*2 z?H$n3hIF*Lg+1vKEqFzHef$GH&Ke+0Cwtn~JMHAp1r&=><9ysU8?#NtY;y_6a@M^* z;M>Ui4iEc}mHa2lzOAz7RM~Z^;@r-On&(J0uvv?&SE8$>*itdNFr1n#^iK^Bjt=F9 zbJ=Vroyw+T*-Qw?;83to2~@^?)oE{a!Cl*DtE?J_S2g*)s?q^@^{{N@glhb(ws}E6 zc@c=Nbx}KUQ9XJ=Q9UCspHP&JDoclTwPS(#$A&gv969+`e)Glj>ZRb!dE3Zwb^d@b zv)Y?HK#Fhn<&OrJx27+gJNW#g3r{>T{+p+h`!7g_4s;rukI2hJOIaQ&YvOrPFvIf1 zaJER7A^s~xdbcV|GG^tDtk9Oh8B#kGiC;=%KbM65RqXq@#QjUD>p_`)m(l^zIM8|r zMrXrlEf|d%tu$if28`4I7pS2eMHf>7VJVPY4ORe{Ba5Ka|8fKk}QqDy2 zTVBFZE9sz-vEmTV1PslTXRI8r&kQs-Cr&+m`t561zWny?H@CmL_vLr@KL6eA&;R`S z7k~Za^MC*Ns~C}?_}!wgM;`ZS(g9;W>ZqjxNg06t?Cct)Mpu1794kWxAj(|cS9bH|IbnJP6 z1m7dVBTaOYgn(cmI?&w@!h0TsKpyIZ0(r0l`l}A;106jN?CE--qw~S8?k)%v14q!2 zcmbNKM)#UwEMphTu!p7VWU0GZ3IMtgwhF=q+^d7I4LvMl58DLkGefx+2-n=z2b>AG zLfyeqcd~)=H9agXq*n*+H6qwn6vu_+x}bb}x6s-twsuJzT~c?a*tLgm-_5afaIFx5 z6Djc^WgdjwjZnA{DmPN&Md^GPeSn}3lMPX-G0re0d(COOIZ3j_aFz(k9A=oq98*~B zj=Q3nRBkXB%i7#YwIL!@2YMAAg2aK6Ss`-M9;LoZX@w{~aAgpw2%_ZytUN%`hgkNA zz#o@K)4FudoEy@oGMZ>q5eUfq0f{#tboqKsE|S`YmYOkg8(QJQC_O;1;7A2<;6f`L zD7gbI_oC%Nj694{1h6U}PUR*jokWF$r~q0YQ5nW7V`yazu8c!fai}&9)yEK~1lE!! z+WINh0g7>esvTrl3Vr^vATy$^&Uxn!Wi}s6uN({4Cf%{5$6*O+gmEFht|J}@GcT3- zC;DkqUT8-1>!5VEON2D>XdXph(jqDb6(t}68Gwp%Kw1gPwp~&7i%VWnB_OGXWbO5j zigx{NdB24fkYFv$F2EH@z!fTbznGNb;NrcgC?6M?Bv5 zV#QZ2`06$-jQFYn57Gh9 z5%7))f14Tq$QU?1gEtoA0%=5n@EQ?bBg}7v1&xqkJSZ3s2!DzQNUD+8{#?c1`k=k1 ziRk1a_5OX3s~wF9e>}{e2=QA%{v<$)5I_szgr76&-gX7Pq(K#BkP#)arNJ%eDHE!n zTp>gTB^ZwapR@NiW0L)O-9lQ{4Dsr2X3fReUdcP+WsQgUlQGG3QZ}1b&Slj`iW&2Xywc7Bm)E(0~ z?Pyp8`~pih=CF}kGSWt@td^5I>)|i>_$vWEXiGPD!rnLG5>5qFb8+)r!ZwqzO#!+{ zI+il7eFL8LA@4@PbGYa^T5=yNyG~RbTUF=Dy6g0)`_!oS)R_O&Sn&8r@NhM_Q4Xz_ zqif~FzH(-M0N@y0fo)7j4%LJq3|e(LTL$-xY7|r=3m;k3|KC zLcF74=2nz+DuO%aB_6U-*3G?3ZuxZBHqjqxHU=m6jjfzneeBhzuHO3O+wZ==clZ0> zefy{1e)H#VZvXiC*MI-y>%ZT){nzWa|NPPIKYsk>Z*P2d_r|R|*FU*??Z&;UAK$z3 z@x9AHZrpqSzuX7;{Pv$e|N1YVefgJ9Kl}0ht9PG!;o8Zw&mGx%{P4;1hfbZ^Jh64~ z@Yec)t^NCtudE(fTs}0re`9iEWBk~`@wJWS)S*`SNHsg1i)14%OFA7aHuB@^Q&Ve; zfGhT{Y%VQs%+DQ|nOWO*#n}E+6KiK$>u0AAo?kff`0CbE2hKdVcKYdkCoip>xVU@_ zaK*Xl&8@+SX=frMFBqgu;MJH42R);4yR>u8%_yi76@t%d8W+EQ)|b6ZM$V zerqn`$R|Ddq$?RP1e`LbnQt?3&4xaUiR-dUf?iELY{|wwg={1h^&536W-pxzR;OfI zpLPfy4GdAdhr(|EivgSDY^hrfVu$F1(<=Yhx8etToa6EhVd;>p1Fr( z?CjG4>EY<1TqB%of^$qTwh_TGWB5*j*h`lA=_(&f@9i`CIHn-S9A@c*G^K|qaS+80 zip)h*c&Wgb3Kw4Cz^j}Djhm?RQVaoxDaVih*m|g$}mn5Bq;pAV`-)k z6QD&PtxDvLxw1MwAPpo0t{}%2U|D>0qlc(*VdQqC#DFWb#c;Gp9{A3`pXl}Skh!RS`|XKkP%{|D;m;Tg!5!w zaWc=D4WM(nha=KG9s%6UCV8dIv_((}DXSqxB`B{1WB@9vZC6wSl8Rqk_KB+P(i82{ z3UUAyKyp@AP=>X!x&wT0ykbyA%SlKX9zMy&#D#>Ij2zQ3hMc_ieGpv}bcGy11;B}I zSB%8&y8_&zG^zY4ipKW5#H4JzUHqz<1W+MsCgd$3@%yxBCKTh~l1%Vc$o6SKU%uw+ z8@AD^c6!Uxw-gjEcsP?L+Nc6smZ66f=(GxxH4q9mYQ@8>d3$RfX4TE8xM*b;wG5&H zyy#cK>plpKvV&A{kZVqA-9@jv7(iQd(W_2s#ZD~SaAiBbVk1<6SP4}Np=u`FAGK(6 zq5_Cw8x>}9-Ab+j9d>ZAf?5Sc;cmx8Yu|`rR-8ZpU2HF01&q;K0o!)m_fz$-!9wEg z)P0=#Ha7g+ksx<8%o&Yx#$ueYD5nwOjsXet#zMRXkRY!S;5Yodc7OwZax8Y=6`x!M z@4N)~Tl1v*u6TdXXqXE;a3aWSf#J7ZA(#koMm?-5pdfI(0y!-0sVfloU7^H-uHeEG zLR46a^{WVj4)$bRwmxiF%qS)!f-xU!#M2AV0?3%JZz3$1ic6=Ha=;a{8P#k?4YV_9 zb^Aaw2aaIq=5vPm0n_{dSnYFez&1N*n;x{z3|glPw%K9(Y|%bFY@04vXNuN^vTeEQ zSS*^S(#p{w5BTkYTe?_jBQ{#Y&S*IqlWz8uk2f6@O$Nl{UQyjC81YEQgPN&?Wjbk_ zN?IoqHsD}BZC}jVSNa{R1CD)p`&z-iKI}M9a%@yxhemuy$Ac#(LZ>G}=YX~m+!_fU zs|JtO!beBqM@CYIMp6eyQu{}eE4A2sB|KRSOqRo~YGk4oAFn0HYMGI0f3=h?=Ck>M zY-VsEHZ&9%Dh7tifqc!MANA(P-9t_1;FNu6#+IKq=NGku3-a8&bYM|kIcRE~w9fuU zH+5dtJS!eQD`{SkwjP&HUer!JZXA0wF!#jR`InAddH3wCtLvBFn|kT3p|dYJ<{#zd zj)<~{{S#+L4?fx2yg0mcJU+hHHasUz&5-?*Xm=Ck9Y^{aa8Dg(D?^P1s9^}EAA;)# z;o5$u9>K~&IB5_k@#Dl^yu^za`v?*rPUJ!H9WbsH!MCGCZmh(Mk~-ir zGeoAPOVuig(kD?2sD{#NwVPjmaO2yn zAK$%l{oZ@m@4kEe&buGqxpM2D^EN;K_J_~E*>=TWu3WwI{0kqPKKC3rtzzr!=GKXg zqsI;$I=;SsV*lFl)qO_+TFkF+PHk>X96d0xwlO(#c)E7HmYeAhXZy# zr}hJ`*thM9x!HB#>up!e9esRy<2S9fGZU*PXE%Pca{LnLic?RoZe3bF_W07#3kyfi z&1{|=o>~YF6m%{hN2bJ5sK6z*8w!IVU??OUfq+7hJuq|+nTqA{nQ}Q_qZa73VvAnt zw5hyqeZXUI+SF!~Osf&dLKbbr zu6LPLdaXnu=ZeHk4woS1;T&Q@T0zLmaKi$?70^l_9CU@4Sd$U!N?cuys;iMz1-v4I zriCy!2cc#nxMTzwhkzsCC=>#RMUe?;G8REXL&%5@0=xqQ>p(&~5YQe33<{hB>FMh1 z*tvV>uTiibDuKxF<@8c}$pktULqq^Sh3xF;{Kf9wKi|3QUmw}=uaE3}0hzBTMWgxtpj75RFm1 zCWw{$P$DNu>S3t@B7I0=jLWQPg+0eNBx$NJxapWYfK~=kst`sM#i`;1b%Lmh0t}!i z{Unv2sPPl^LAEO+ixu_#qw;8h?@BQ(A&SnAS9?%$7eeZSi=8l$3n%wcG!d35&a)&X zj+E4q6qo{Rjf1JM_NqL+nh-@BfvJKIE4&ZL+>c1zT@o);;)hE@C`lA1jqQ>}eklt* zpp16t6DV^AZ^`0K8G9q|u;a@PLd8L>+KE*gv1;9(WdT6qJ}25Cf_FeH zl)9Y)R_}DuffuT}=@kzR4Co4a#liSzoIuMg+v#NoqvQZLMJ)nt`vCZ|>|~bPo2%Z( z2Dp1WtL9_ZgY3~r-&nM73}_>qu`p*W)J~8y7T}EexxfXz9S+bY#zH^2;{CdxQ}^{9 zpC@d8$ba(wo{V(aw0S;jp3j*U2h59k+v2c&rQ+E?7CJZ?KQb9VGZlGkDtw_CJl6=E9toTt z3!NR0o@*x0x02_lQs-w#;ND8?>qZS^T2NgW{$b4o6_tWCAI>IEdDw;|Db=W%Qc3!RY=w{#a5-;YIJjj zYA8}QLu6HsB+U?nNrE7b=ST6pFhLL@31ehQoG6ZAg(0NCj{>}fBb(w{r!Lcz zKx2RFAFfzjI5<1A)|_1Zhbv|_FHEkVomf3Jw{cQ_(y_;u zj$N2Pa<)3Rnk+Y*v80bL>}7Lk^j;F9m&D~WB{H5yC$riOzJSy1v8&VyRv(Mq%TS4V zF0I^SP*^k)wL&13_6db_4woe3;q4-PQbrh(;fg|Zm5ZqHkW~SuBE(gtxS9ep0=Pnj zs48F;Sx;6B_3;sgKD3aEpx|IIcn<;z!(xy`0)~i15Ks_2yc3+U3GG6F0bPMWARs;6 zU3+%!+3_F>2BDLP0yc-uVA9AGA|8)MLST?bx;lT}+3~B6j)(Si?CR)-cS6bC$UZ1V zgybmE5-n1xLFhCPgKD=%@t|D#fLOXipz7l2AuMBeudais?f_iD(ZKk6gwO~Vnt*J( zqK9LGaLj;*F(MaMEBF~#+S`%blh@c5#lzx=lhmd+<;L=wQM&>80LQGwhXHG~RDWy9pw}&NW zuh8J)=)FvRkf;s9RsLOa&m%H#ry>YbM^WlHS`kCZq9{casY$?%DU>Bcv}Nhe9NnHH znX@>32Bpiv422$31?i|$gCl~}s61Izhm(4b$6(UxWn3K_XQU%-RD_ERACys+!{SF9 z<`YHPLWEK>b!OyUAs)<0M~6hzoQVS{q8^sj!v8>pv<}YO1Y9Ai`h`GS3yJGtX+0vl z?+QCRq9nL@(2xj~l;U#=a=(PwFT`j0_!Qs@1tqSf4>|ZFVfkcQ*G#F#0W$!u07MZL zwIdz{ToIFv#oM)^!225Dt&K5o4hA?4130<8LIIqw*o;YAG5J5zjL8}iX?wM%sJ&WK zJR0Ix-K=3NwF<5WVJ`&)3+}$Afl`yAi&A7>g~{n~gJxpUPTSrdz3O5BJ@JZzT5(Xo z(FrFRpasB*`*Bg~ZW;iIF>mjf2M7}g@SUoQTy_$HRGi>LDh_hRPOjKU6>EESs+m*; zVgW*~S;693+o%8sJ=~0%hf(zaw4ejPXumr1r!f8zz!+^>(6>`|vDCs*tS zT@mUV4{|_Pgn$69;7>C{LJXK>n-;)JPlWhWG4X6lK9>P+g3R}8W;1{y)IV_o2=E>4Y(_Ve zHB4rV&9tSxeTii}W18qUHgm?-fT1;Lm>SdrnHkj24e1w$4D(q{D=Zpyu|}-)aT{&Y zL7R3^XYAw|J8{}coAd%eQZ$0~NZ2@@uur6%6Dh|;%HB-bC)4(sjAJ%y zpX;~H=fF+p7l-UidFM*ev#%OlAB`Sv#I`2l=Ua($6Y(>R*s0Oz=|=qQcAU{nbpUl!+Fy$$YMVXsD1YloNyHK(6HKFFOWDY=sGPaY|d5mgi^W!;AW{O~>r% z;L@Y1`E!Mt(~Z@0OOHQ$@VUF10{t!e2S^Jr^P-$;IFd1d~@RzkPe}$8YccaQp6` zzqtFCTlfBY^WKj)@BHz`o$s#S{^oyk2?|*Xd>aE}Y|CHVLbE9{D zC-|Cino($}yV)d>bIu@%NaUPz&KV#9B4+~3xtTLNNUb!IMkCF59M<;QJJIVP*|R>U zvCppc{tvgix3xdq^MGtg_HNzPN$-04AqaqA7pk8ZzTxxv@#p{Wqd))UkH7fk&wlZ> z^%Z~jFQ5M(|M^e8_@|%!@h|_~?|=T`cmLq($w#M`Z=YV?oLrtCot+&Vo$c+Nk5F;G z{rG(S;Bb@}1u<#)i@kjwX4o5#7<(3dGl4Q4!( zb$@d55o8j$(82&$Ai%m06DZ^)1_{L?;CKWQk3bUXEiH0Xo zuy`VdK*CaJBnBJc2b(XNnUxB~vx2E<4vkJ_(kVhNQzM+#&CV!AQ?o*jkk8`HP^YH= zR}d@$d}J1%8Dl7BUiwX2;k3&iHG;c-gpfIgRsa%@icdaMPt$M zR3ZY88bd-}n;iQ!$iy4a$w?>-hd?vY1ObMkKr@vnjuJ7Wgb5UrV)-Mf?4eZtrd08U zMD(VCx-mx5hHwfW z798IQqU9l^#19jBVL}f|?8QsH;HZl}B(_DBu9(Ud(YS&NhmU9R(hMG~+KrUECTD?o zQK~4x2*@Ev&?GR5FhLz+n^Qut3U^WBotJnDJZGL}$)XKum_7$FmL^R#6yOSPbtYUE z`;$_eU8$C6By9Z*(aeNesSq0(W+x&uV(PL_{G@I=otLeJ>2(vNpnydA2oD_{7Ep3} zP6hBoKn(T*3xX>)>!2&dHNU6^x`JQz399~ET8JBANh2)H+qe-W(anbgu84`T=~+Tr zM92#9Sw0~Nj#rQ)Dq7w$(+Efw6Y3sV8B)@Uh?-#`kVXhN0_WluxUEAnYWy)uL<)R4 z%IqyFM#~h%y)fVk$ycrj1FjG^1ENMia7zntJlx4%0INv=uHfFeLQAQMQ6pENb6Wfy z=n5)uO$S#_+Gyq5RTHB-QUP4yB$b`O zkz8?7Ds~FMk`XPydKb63+kE;JDi{DN8URb&%&MCKqy`d&*>JLMQ+F`G4A?}~F*46x zm^J5@Vbxvix*G_m=HXPmtg4q;@zJZd@q(#&88t7n?qxQ-%%+D4sG#L#-zMJnzg%DO zqmG~332>im5MIuM+`59(2>`B`?gd7)2+nkUT;LfR0EEoMk{VT*h16xJfr_xHqxIxO zz!fPj6mUgEN(iZ_Md$P&F5NHcZe7s}OartS=>iJh!T|G`L zUX|9LwszlIK6tTq{QmOs$Aja~3OnC5FTP-wFDP>-oWhZ?urDechzf_oxno}Lh?_oO zCLYtGyX4RoA+Uk-u3%k5jJ=1kws7Ve-dM)#3pjNOr-)EAF_t08vu37@5sucyR2r3X zrB5m<&2sAsR!>J?F;f>!^p26y(6i=M%#@TF7BNa{#?V6ln;*S-`)-psFFyUjkKcaxH&4#rJvx1Q za&dEheR*_he`1bZ74jaK+mG>G1HNeYD%#J6hhn+*o?vEN>*jIjh0o54yAE zOk<<9xV^HzySKl0zO{9{yt>~X+__?S@($pN;o*zH{@d%PAMV|JcKp_FA3XiR?)CS! zE~54YkAb(P&kU~}J?oE(Dy7uQKB90ElmCei2#H0}Wc@j7Ju zmGS$pjlcQarw-n>6~{~`3j80_IV{Lut*auNxJBB3w@9Dzb0F=#XngC$^bMBHr% zL_Cp1ppgk28cE2ch}l#jhsxv9cvG|)E_sFvxPoZnn9+>PKwljY)w$C3UAI z?zGsM5!y3=E*QEHN$CefftL9Y5-(B~#3&?oNXC350s{Sfu?y6$QssOilKRkUe|9mh z>cs&z%#JEf2%BJ4DELbQd6RBt-m5hW@ z{0IC6Oy0YQ;^fdgyfzz2TvQwD2-pK32=ej(6@{LHOcFy&$(2o_e-P ze7SD(OIL7v04)LlEv5llbbOqam(}zzsuog7gDyy*bvb&dCT;5(eFf=DS45@6u$o?S z&J1GG$Mf3Fj2v(Uz>?kwCw*{bg=jS?UC$^ta_Wt|W+Sg%&uLaO030Mzzn0Oj zgVPZD)tq55t!XD!jij=jR`znL!JKMPPz>_YK~A!in_bCDRx{F#jC?z-+=$8sPF_pP zXelXu6?Iih-PBRHjFcTCdDp_+wF`IMs!g|U=uo$8s-{EN_FK9!cRS&0B)qkRr1qf=*oO(wGdd%c{XzH?VNiLjB7vZ-p{&@=0nGo)LCo(qFn-V*)CqSi`VVqlTPVL ztMH_ec~VbaRYO;0&t=JeyKk5WNY6m{<20tEzzq=Iu za1i~V7kjr8d(n=*)rvi9#hTSKT~&}D>`q=)^57PTg+6t`vU zu9DHyQu}&xM@MM_q*qhs6_kvG5*Je{D$25n^tb=v-tAlNvu)N@MEEQ?^TN-5;$xh- zDf@Q9l7U!N6EbpAR6XM}$o+16rBc{FSbOr$*{`PPE&hP%g z@BhJ1e)>m$^7)TG|I43${>7hu@n?Vf#h?8A^FRCX=YRg=&wugr|Ma(i_Ba3M=YRK~ zzxexq`HNrvm%seS|MH*y>0e%b>54D@_8))##ozq?k3RqGhd+7mJHLJP^rQWwr;m@W zPtLEeo?M+>ULGEu?(7_HZy#;%o{n5`GC0_8?{D|^4p+9Xw$|Tn*0InA?B2No9ItqHc=Yb@@SU~O54W$rxBu*idr!WFw*n|i>KZ|ck2rV%Va7A$%UgE(jVt7q~ ztjYmbOaQLPiYB5Wghzx^aS$y0Bk1JoP{@5GVgf(~8VyGwAjp@l0D=UIVnNXeIDB#( z^6>un8?WM_;~XMd%AtywcpeSGAx%&)57E#!Adg<3gdrv|3+Va8V*>NUv<1SkOmd799Nh$0GdZmRTmb`Jp+yM6*$@~H z+!z9#wjlU+jL?k*0mc##Eg1w&;Q>77=qJK^+Z-TtK0A9MJFwt&YPvRfiXQ&?pP z&FTUIeUNVo&sd@?V~C{nqQOF2PK?%zGX${4Al4MZn!-eLlxmH!Y;lew#dT$;+y$mR zM=@pb+BDUY<9O!ykrFRBH|@<&xiTDUj%A!wk6a|E4UbL;7+t6M zxMV!Y%QiyHz7<(f!Lxish=z>u30WdkW9t2sIAWJH2(MSYKcH3y+VnRE;IvTG4YgU*?;}sTC)k?0}zDnIjssHa> z0bIn(V5sF=SJ=T$>wqQ7cNH)wU`g;%HO|_o-+CP!@nAGYx~Po;oHSjx(<@-wF7}rJ zrQrtr@UJuS27rnd5D&Wv#LI4YSvBB_@1a%P6d+YF)T*0S15v?fco={OMyO!6{j5%a zmFRxuihhXO4|AVw625drGstcQIUT?oLBJKGaRxuPJ#t0E!vy|jN?OdE6xL8;mUNUo z6MLwlR79902NLI_q7p(xO)uJ~7bCN~1@(GLI*bT_X8>H$3-AC}45Q-Jq--Ordg%(? zh!)zlED+s#R==Jbt!>B~*Yd_;R^Ll$J1KQPqaNfn!#UunSjM+O?GTt{45AK<2$$1@}(Dy*KCHpK~9~dB7Arho$gQHFeyYKWP`w+Qst@ zpo`)Kz>HSmyq-C&CQi!XR}U65tIa@b!Bw1hrHjsR(Hgf6N^LO5R z>w}L!`sjPWe;@telMjCI$@`yt?>pc5^y3e{|LMm+{H;%a=l6f`dw=x9-~Z8X|NEc( z?jQa1_kQxzSN`Y!ynX-w!O#BV@BGnEKmDyg{NUr?efsvNC+F{M?_TcgogEyXonD-u zoShyV9KUqM@%G;7+T)|)d9mDETU_7S zIXJx7-Z@@bd)ymr-OYoXy}xw&{_yzy;n91mryp)y0G9av*7axGH{ajB`E2Xvdz;rE zuU~#=aQL*jc{JBsv4rC6S?MGeGmb($0zSG!A5Fj~pomE*a&iJbJ~lb_aANEcWPAc3 z2OLnx_ylxp5;}%JPGB(*A^}bzA?Z{!gNmUNQ6wDju^)-YAaNKp0gELO@l*@(;vADb8B8&YCJj313xKo@w>$}H%LnjBV< zOe_c==0y{6F(M$wX}Jh4VGKF>Dxe-D{1FNTLm{C^1O%MDc^Nc(5`%zX5Wp`n1|552 z;>}m^lMgr;n1qTKQP2W1e3}TMVkXhBiSdcahe+ZZ`00C8Ie-MTz(kt0lK6Vkl#0lb z;hAy_Q-NTr#-}v*__|kwhBtWTM^lzbt`)*HL#B+7X+2~HtdRxbYhVH$LTEq;jR=7W z#xuit7Nh`hg%c-o;l&Pu*hZYS04{jL|G9hAqRirJ1$_(;Ay{r3Ar(Bwn5g z6zPr}PM^Y?;zVnd>bH$2E7z*!da>Bd&$R=I zn!=T*YNL2vg5oMOWBsXUOW?^$%wCyFp%742%!fwWJtzIm5aU6BHsL10ZFp>)&ulwH zM|1jvtaLNT9NJJdz!f}rkOGg+;4&I|$vaaC@M}R~BP6Z|g>?WDUS8b?rs3x|08s$n z4e-G!3_u7`Ny$B(Hqt_JY)FC*2~ictaN?r3P~?C+YO4qKB0G2q(p7t6}q@pE3;*14c*ftS4{WxfGbcHDGJ>F z30&*J0R-mVu)s(cHLyK8wFa)Pq%`c*COGl&uVeo=t^h{{7DlK54dnw&{Q|TZTq=R zA7>O0FjYHcL64o6!CPwFs)2T3n_kw?s(>rllW`sra77ewg>9-A5^ZG_tBKjg5U=Co zcKy@f29y82D|EN608p`!Gi>CI8+p@4!L(j5t>lbL8N)EGU&`uM^19`MW|&hhW~GZ6 z$si*gX5`BmB{*-A(hnn=rb9BXnJy?;B^3(*MoZ7?n%M&zd)dxewofhFW`;I?-^%Y; z1wEH!DX3mcnAX#l)s$r=WnRl#HVXEgqGPYC7Fs^2g20K`pUY4(}9w+jH)%f@3ph-I=rQ&D#!2_T!4{ zyzaef2d-M7YcS!PPWYx5z8QpW79%%{v75#CO+RtdPu}#BSKY*ACw|_JowcH8t;lIB zblMD^G=s_ z%*^d^=Jx4xhm^Tv;`|A|ct$8)P|BCI$~9x*f>k=<&L40xo2=M?>1%R*4PKxw3e}}x zvA(cIZx84+C5>=Z#a!0VhdSD#o&va{3ZO!XUr-XtDq>AdS~8IzyQqKvlQ+L~#i^fv z>0;hkN!M1&m6d*GW-M#SB`Gc<#CXJHihlOINMk}*jn1zUESK>*ge?WKRP-*Jv+I$JiofRdh+zi+t0uC zKmNz<`~QQ_K7Id_&))vv)2A;!Ilunk@!`|8jpOyr!|lC8;86!hhmRj0?(Q6H?;LLJ z9Bu6$ukG#+_jY@ax0dz~HV&>IAH27?c#zLG+^#?{5>6IU#nxPV*k0M(+&?(m+CE%f z+3oh%Z(Xr`{+*?>?+j1BvvmBy%ISxzXCJR!d~f~g)2*8y>^%9+&6`ixu0CEqe}D1l zS!egWyu9s9WM`CW1c@|>MUTND4<^SR!5%_k58?0!P;e*a7zFSI9EwCCP$+O>0S=o$ zz{UYoPzW$46*3BF911DjSL=1+6#ZgEEI+aAD5Xd+b9svPD!XT)C zF-RB+5k)4#Ib@iWfiQBBz8OqLgs(|S^;tqi0Js9Oz=Kq0;q|Xv@t`1@NQx1WS)6eS z!6QDzLS8{aUPr>(|NRUtwzQ@pRBxBVJ}E3ANN2C4()aF_mP78b{YouywCY z>3(He|H_o<0e9qzDGQWmf$>e?tjCOYlBa?3^#Cf6LNgGAzybs%v|&UJoY+B}b&#cY zAXK@PDmQa9HnG*M^#)XKzsTfdtIafpnWD0j)E>Obi&l8xQWsL@#i&EzSb;uH(t;st z<5X>&rj4@<=_%Wsz_q}0&U5T(h9xrNNlOwX?R;xCSz&qeSYr}t2*9-th{i~?c&5EE zMSNZvsj5O9rGF@JR+*+0PV2?$d>DftZSdo@ZnDPCP?}jGgcLB^^b)lk85GtdAL z8kxpqG_;a$x)R{kgMwyIR1XLMPSkGeC)`#}2=W_2kQU9b5L{6ilaxI(ISW0i!iS}p zpb+Wj!J-0GT7)Y|h)D@CEFlDCq^yx$^$L4Yc_$(PT=6wj{C~Pa^tFJl7~HvH7A$ie z5(BQdElLTTfaiWe(>+zQvDyyyl4oWsAY6A%_x04e1YMJ1>UvVc&S;Lt1UeoLkT$3b zX3NEBI_ZEPS`K>0#rS&KE_&NZZ#ifU+n27O+_}O<1yXiWM|)I3SKOjv!35^E&j@gT zurI2Wb{8A{F5prPdeaU(GvhXGC$r;Xb=~Zqo744hdR|V~cbATr-Fc~tFVng`f~zK2 z;5>y7^uz6ZNAq^p!+V$8kqRK)AS>DX$`!p3yB}gd+rWM4icW;xiEz4Mz!l)qiz^`e*l@y4MmauMSoH+TbIz~;5O|mBAGsxI1A*P}it-u2X>nZ6{RM-nl zx4oQ>Z|eWm6}t7TZX;{h%o#Terp@{ zgN$;R(JZA6ODS_VVyHOe84W+F;AT|Zyk@Fon5tQ(+OFxIbE;=&_sop0nc20lx;E~j zo4*#4?Ig8(8U0R1x0BZH=5&t>hJ$(IQPF%{GM_HkPRfpxs_V4wJ!$xlo57=I=%5*U z+)VAYa(nIEekXs_n>*~}_FI{~Mq;ZHUMu;Q3(lpSeVDZkGvLP9)q-tf-mzVFKd$-? zTfxI-_^=rP(+VGULWlj}Q9p9L7&{##&IYOT#q>o#eb!5ybYjQt$Vn%1-i=)L!`F+^ zCqp2y>t6Vx9XxLY&YOXYX7IcjK554fyUE>dYQ3LcTugVmsl{euSc$9@!|VC*W;(o@ z40luEYC1fh3e6{da|zd6%rzJB%!T|3f5hcUshx8YXHo1~;QK1PKy4=6o{9Il$t7lL zm73Wk=XMB%ecb#JY2lnvzvgt_nrS~5w4aLGH^R!vOksN}zC0aWoQZaMk&eVOudzo> z2764euIYrE8pfKIzM`iM^puu{Tvih16u7bq*VN({4a6-w<-|w-ho9c9+x%pkee9h% zwNWn&xGMws#>Biba8^{5q8JM^AC%^! z>iML#oC(x&kw(hjj=I}XS0&+{%La3WaA7V{oX;+l=4#c2W~0{YHV4D*Z~Wi?{r3HT ze0_fQEVolNW>I=U}gpy_0aUDzn&$ zQ&R{s@gV~G`lB}=PTZS>ybg!H27|rkC`M9CTS!H ziwfh?;8QdNn+&JpVN@)PfFeKyO`9m&0okNKHImnuX*fsDu=6pFv6}<5a{wJp4@z z{2>B9@nukm2{dv73k2~9ix|VgAEGATfIWI;^1*LlCtjz+9`eu-J{~0?n-nJ!!bnUIj0^lJfj2Al&KrXj zZ>*WhbSn#sgZA=DcevPWx2lzTxm+zbE9HJR-}Zz`YHLzzOUnEOd9tDiXH_<*Mj_D( z>G~;zk$KO?c+JCnGsqhA(I*`wm4S{?C@tKNuy(w-z7ACoApB%#cp8(` zPzxUJf`6tK;I~4eCg2J`;EE}*jYWV5E?@}W(t-!LqCMLFS@H1-HdabUi7D_Q5h^eP ziwV%#S$siCPD_aq2_YmS0!_XRuq6vzE(R9#9gA&x115DdVYkir~?F}2aR}`#mWhPZD1>Pw0OQseBV8~%ZdTXB z?s~rpIDFw@f#Vf!CXnV`Sm2sW&sT)_U(@!n!Mvo!zj8&8(+jener>#BgbGeC#OVjQ z-2kTraKgiGc-c)qyBT2DowSM(Us58wI^w2b2LuBeKzamK_;SJ37yoVK68nwT9% z1TS3y4q5brykS(dl8~;Y6<=SsdAoFTHS^_Eh<**64FO`>$eK3*S7h`nY0XkfIZVkH zQxYJ9w0xLW4%6ykLOY1*x&d|7CMjrVa!T&Jnp4)Y>jrk)!di5&2TtI~=-cT%JEP}d z^}uo#yyc)|J*L`BYPVAQt&9Q4b{5QT-n3UR@6TKJOSZ=gj=hR=x8~lh`*xdwy=G(& zq(ySSoj&ZQk9(QJPIA8$+pC9ns==*_Z)3r;x!~R`xwlI0?XqXL;@hkG4;ta)cI>Q| zJnyG2`k9NxEO2txkDvCUr@h!&KXKLvzjfJ5U-mNRo#bgNe$tGdwW8%_-9v(qn4gli-9 ziIH`s=dLJe^Ru{s5apRA*yS{bmL0QCFN6f01h}2N;T6@~qOwmk9~93;WW~6CA!)BB zT=lT6={GifhJ}zhAGcS zPp@AboIYFMKJ5**+x@l9;&OK|=nsa&!P4?@WofuF7_9UMz`wrBt>r;urQhG&+}JMcdoepc=_t%<&iE{Ek-+xK66 z}dOz&#@2#whqP8vY>z|A>yC zpy41i96$>M8I2-gP$Vpph)0kJNGcJ{AmJD!JRJ;WNqN~no3H9ov90yu%F0j^LW8&Y^n3ad#GMJXmHBl!4e4IMItc}PV*#Dkq!A0c3m zknnLNfC|(E7BzuKjpL9HvGDsC*gbH%Wc*u@v0p<^zDk1KXCWuJ1ne}O#hVf_rzJ$b z94S=7WV%U>dE96Nj!=aGA=P5UYJxyX;wcF{HJ+zM&*;ad4d3D#zsWVe!ZkdYGEPpJ zU^8X}--Z;};Cw5LXNL03aG?b$wxc9=jKqPJ+6i(8S>>W>y-b~trSq|YXnjnzhoN$_ zbY8A4%nPJgzBtz6A5%HrP}uJ&J@?ds*VMsRRiSUI!mlWTuSxy)#GY|k5TlLL%~`f3 z$1&%)<}AyYrt1?FZH%mqk~9&bCQLE}C>9^h>89GfWE)r;pJV}-P?Ak{hS|lj`gqpR zv^mN#Bv`sMRR=&NfYiAsbpHGL$ZPtFLN-39>9h z*K|a%RR=g3G1~R%pn+0nSI#pp3eQ0HM~wpH6Ms!7-DT zlhJWAzn=Cjfxyrk&QX99@JnXvP8VO!kFdVX-89OG7PqeW`uYmM6#yQduK#OSgaB-C z`T=gw&jB8FyNaXb=d^+x;D=U$-%*9?>PcHx_NiM4x$(Badw1!dTVo=fb$Ql+wS<5Y}*mVuFt)ur1^d&QO%}QCbQELj56FJQzhCzsHiO5l&`CRb)`^{U;^*DOg;?rU7rkA`1Cq7b_ozzt)ecj1ice0nQ^m!wBR*Rq4W9Rkg zWdl^iO(*fBn|#tqKj~y{+CZ|`t=x4xd(}=~wc~(2PFvx_X5gq9xM+o+v}54n&sySQ zA$d|tJ+7oT>Y24hYON7pZA8|p!HtE$M!~m{_pjzcOSx!28);>O)ts-C_06ZexwtnK z^+hB8U?|`TgzUbE$rIIklWJd9=`YOs=6K#Yj%SYUDU!VlIDeTG>o9UFQ{^3bwqp&Z z!&Ya(q-h!W04i2Tu2|Ahn`+9Of}D^ND;naG3BT{aop`AiVa_jqI`-8(NPvIgVqIG) zH)h6-k#nKrE-UGCQbJ%B>sM0!dTz)j%=<*Gn0ProyPT9Q#}rGzKO-@DJt3_m<+YTq zp0YL)_Ey-`@o8Hgbv3A+kLn6BLm_I)hb@J$Z9eKK#$CmvXD;Rbwg2{CZ{PoemDa}Y z`u^$3`I8q%7jLa?pR{@#mBwPJ(kzq~=1U9Za-~tN)vI;jliWh3UaHlK^~!v++#C*; zcMkSW-(KE2tF~5?nOY)MNTid=OsG^YbbHv*na+<$M1YtUElF#3$rE@d4~G{1^Lz2 zfBm&Le`Rd!8_-AJgiib#6!Iz*dJhVF07Z${D9HO7%qb{#h|jOWG1-W0(1otGfBro_*8_F zjj_$(qaxzGlv0%v>a*CU5ZM$X07w9?Xedx^8L}rwwdLrl3|EvBBSMUYg%A@b*qCt= zVhja&h=7eD5#vbYBnCZ!Lyr^C<9OtKEc|s0^xMeEZ^41z;?b`nCttxr?~&nS3=)yU z5zdHAESZI(vEvLbyv>F6crbo9(rSaL^-zflIjh17RXCvxMc$?3*h7-w9<`KnqVp=TC2yKY*d?_${DTs?V>6n>tOikF>lP21@mhe!8yzgg08(Q*VY~~_0eU;)~ zCz)GLN?C^UG2s4bOjt!u*q8-3x8k4a0N3;&zd3S6(?8t~^1xdF3;?bO@mdjKCpOzn zNE;zh*)ub5=cF{0s00hRA|b-&<)nEfEh{I-B*d_cm>;=fF{nrpcNpC+xV_J)>()zGjAlUkL2*AI1QQh9cGS9U0NM=*U%G;|=;p5ZW|kf7u8vfZ zAQz;ls+L%N+1b1bE{7QHB(;KO08$5!#F~Xrw-ResLJd5Ex7W;IfJU?@PMgc$qSJGii+S}lOER1S;m%&~k#EPEuRgAY2CAR@bLcrHx1zsAV*$WEW z0pQ)p@5hCMgm@__T}jH9;__ig+V{?O?ZTF6x~XNg)Xct?wydYD8_1g`!j2iYZNsm- zNGpEYFu)uH*nR(0-_Ps%#qEHs7t#!)Ca@7|+&+j{x*=mXVp@!whiU5|W9etj-K?=U zXI?DX2Vk=^?{33))CiumLZ|J}SqJa~013~2-FejXoOS}|-O%-7?CDbK`AY7smHhLS z!t<56x7JE8HY@LLH{RcAeP^%p;p6@XTaEWtN-z4^x4M~UfD>BjC(X>$X7*__cT>+? zRZ|z0#6>lJQHfnt;#c*=btClzxKBIxv@`dlQ+(1c-Lw{N+Q3QnSv&r$9e&dE-PGMr z8=iODp^y5BkNWBN+L`B#>{UH?*3KXH=MD$?qha=FDSbQus1v!U2X5;AXLbKu^}w^L z=dx-)u9_Z~4BL4?S*l?~)d?!=US-Lt%2`x#gDRlcI&=o3)+|?BW>hws(uUXi(B>G_ zl|{!Il;S$4d!kraa>nv$hik#2X&d>=I_kd8ty}OHUhHL%dKI1e z`=5=!bOrM~D7f@;o;Vm!tgIX3)VX$QsAA;hM86Cl*0W*`Q6`|QM&*N~Y%3?*$*cDB zy2p9LMqaa+SG4nrPFCAao7xF;H>B@-l^wUd9*{4D<;AdKKA*WXPG?f- zB#=xdnM)@NsfA{JabtVu^y%`>S-rQJo$IAC3yD-J7WWnAGObo)d1V!#N4Gy{wfncO zSbh4*+OtpApM7rtgg|@0H`y>juv=F?C1UVOHE`EGOns@JAV7Ikgp`FbP2`B?Gw98pui=QLZCM_4rvm zZq|U27?HEa3BKVzSAUPCf56pGOzU7gJ)Cbw2y94!1Ic$HcuoZ0i4?k!V!#z{tlWuL zI!GE9!|3B$gVXl#lqJM91v&a4OB-OQ0(4D~Zi>>KNrF8F(Fg7+T;GR%pR7>%`v%IIu}Fbq{$srnTss*5Trh=+>2DXp&HkHP2gMV_%~FU z*VL(TO#-cr!Zl%tDmbq6LsS4Tf@p0Jrwx#Fe!3yZcgB^WydhE4MsliPQtpe1y$wf+JC}$4a)yyfaqv zr5n+?ezMrl6x)SjJ(Ec4|T!@uBX#v84m^ly&8)|1lope}6 zgdJFD=ke+5A?gK$y<1m=!CMx=ts=9) zHK^s8uGyJ)uJF$+IXN9YxgtT80bPUR72x{GnvDkT1GQ4XwVGBkkUK(*Tv4?UfFt0F zy7d+tFKKaGRMUJnWN{bZ92~45l#TeZ0k@#XF6h9NbR$&g@MR!+5EWo4&QTrCTUXrG z&N7dlaP+kQh88Vwy~k)G#zAe^sWm(0Hh_h|-LG~EK#K-Q3q})M`N?WInN0_Cv{{u2 zX0+b~+(_cNoe%+6Z^k<>=RrRI5x@-46>DD`uL!ZaL3R(k1cR>Vct<5h0bm5Uo#0f% z#Q?`EKv$49t*jHbU`0n?5TGK|htX+ROoC77=tUc+?dPq;MZ*ZcADsRY75(7MAS@UH zpE^gb7>)wC;x&SFl=i`iFn%v4T1-lZX~iI|9Hi8XaaA`c zZ+RpQyQpsF*LBk^EvK(%FBw>CM#iRzwqvGjSt)A{+LDXe1O7Jb%!-9kGP8@8sW}^e z-Yzb=WEGFP>`^bcfh(z^=#b4jq;vM!fC#voz zbW3T&Fr`~es(Wz-a9m1jS96Aqf@QntcwF}GEqM1zzP+OFpd31?#ZDT@vsUJ^le_K} zuDbcFZuY91xoD+N8>y38^1P9`1cx9B*PT(?`RjJ>3LKHhTm$eJRm^zO%|GcCZhG_A zo%yTw{AFwYvYo%|WUo4@>vr^}6?oS2zvzVD@5MgoCEx9&-fm@{wZO+-_R<%N>5D~kacK+A0_X$dL8 zA;o)joRCAB^y^Atbtk4+Nh-Fo`u#cEe$lZ$Z(1y9+Ie+5r|)Df-IS#tHw?n+#h{`c zl2yZ!h0tu#FP-Gjg?X=8D>u&|uYRe*1Y{Pt8L zG(VSXG#a%UI9XjRm2X|K_WXOBZ-2V|;3kAjLs2-%Y8OT8q8MB>ot3FIaJ1Sft)8zl33O(T+Duhh z2y!z{X2HlTNU0gD(aqJsSYQKF#EcHXHy{C5@U2L`11WH!_-?e&gA#d=VmC_SM$4Qy zrGuz(GE6=I6*GZZv36h#Q9^dnWCNu~QuMc`Yq*f*r9Z_AVS z6$ywcKB0;}QbZmq!jF{UNmUr84&(GuswvL3rzHM@K2f%1YKG{X+Lx3$!(wNUZ};<@ z!P#h9l`m@-nwnxwJy%g?itCCg-b2IKak$X-ZEZfqZ z@WM)>x|A$7lli$w*zYzeO=6m52IHPVg=XM^X{dt@F)+q;%t<{PVw{3Gc*u|tmywX0 zdfK*!{UkZ_B+31M=(?{jH}dvQ>_->7mgF}Kha5J$k#o*D=L{538HJp4&OoCRo6Rr` z!yK9%&b&d=>d1S}9@*E@uJ_7&?Au+h{~A}Jo1BsC<@ugs5yYT@VUzW#UwEFk1^J7N z=s3=8IT)Z~A2G5>S5!ew8`Y7n*!8Y5EO6Zn(atg5f*P_g%n8GcFiZ*kj08sBvM5qz zGskJu5Z1S%^0J$sv#@sE(xte9VuGrB+w4;UiiaN8a z*%|5`QiCd^>s%Gq5MQ~1N=iOUl2OdAcAX>@yNxH;drz*4am`W19HTazmX^PAMOwX1 z|H>8r>DwitToKAmT6Ku4H@Nz0$tX2gLFj&Q#cm$tBB6W%8&3k#zL}Ae-Y6IjN-lmi zs_2u7%NXyLttSQZHf#8bifz_-OwEJX&MMB6%5KP_a;=MF>fCi&byMXxtDd8Z`?%sd zt2)nXj(c_cY1MXAwj7qNM>Xeh(|_CwZ5yFYHM}f_ri5>VxCTkbFm4@3EVHm_9Wfq7 z4R>Sui@5G#LUSL`oB?X8oY5t|UTi7>kucSzGNdB&|ITyoqgL!FYWS6&LM8-Ssa(ADFbT1?qUs9S)ho6_|m z^BA?yarX@K%u&xA@viXTVJ3Q)>Iy=cCgw_YwgFV?-6 z>+aii<8od4ahdPWK@P}pT56jBWtIAK*fJXkub^g;~@zYWHa$9=8DZE|f-z~G3 z%gpCx`qP?tw|_+Kt0uhNEhnDzs#dIhL|h-&T!)dP$PgNT&Y~S;@;2y{^6hg!;`=H#~=RoAJ5+ZY5M3@V|y`s^z!uWPmllb@3t@Abnl+$ zr!!*ILppV+Q9|kktX4ovxI5yJX=Duc0guZR3Aj=bUnt^mBn*aRpRTw=Q|=w8_Gqd* zG{rtmc0d#D)3^r*tX=UbI+ISP)AsM&xpQ-m>M#ELJ^F9%Fn+Vo_$wOy-!d8hGl%^h zpU)8TIbt45%w|eB3>lxH5HVC@hE~Ef$XGrNKW&xu{MxBcIkgL>X4=@i-?z}(HhSN| znmIXZH-F_8%w7D6i`TMo@=-;po ze#_YZYij8!?bbf+4vooXa3n0DmaTGetx>)o6$B7*kVFNf^2Q8KpT+KUdHum~JdyzI z5l|I^1pXAyn__!YEEm8vhlLuiSm_pM{XAocZHcnXafUI$Fs4{$gl)#THiB)#NmnrK z2+Ij^JShR`ig?-p7L0IFoyf|9nAnF&ylJs3BX$xJCoXj&Vh6;xLmUUlazJc1%JHRn z{;VL76$Z27P(~I?D?+F$jOt>TF@c*w!iMD>nUVs=_d~INV|DzMCGf2!#jxg>R`N?H znf5Tx6_t3CO7cs4sWA$f10+QuG=qE-D0ZNvXXO5(z@KG$@jW;4jWhk1w)|gM%KwwS z{2NF4TX*?ePw9rc{0({Zlx}&7d)@*!Qc$Qr{Qz2VCNegFFvoEd zK-h_@r_%Q~r~dYYjJGy$;0<#$uk~lt!J<4=6@=^iq55xwmEVSH`;n$F);6N!Q1vJ? zeOR8K7kZOit&F2F(4&p34nXFJ1_*9gd#fc^qA zyv`f`STlaEsNduyPciN~!mQa20L30m+QTodK|0D6xM4{cmuUlenVyrbKy`DR>N+t? z>!)e`B(0lf46~eRRxr{pN3Pgav>;KjbA@?{>1NdaP1PZ)Jxd#oNmoR~ zBNuDr<;KUk@T9#9;Ag{~hUB6^T(Lyvy{wr4qXGzg)M~>@D{O)o;-O=JY z@vET*!LG3>Z$!G{I$ux`SN^LWV%O(l(D4pz9gzn~gcGEpc*?8A0Z3@e0h@8|#ae@8fik%!j-Mx0j|M?$p zEO5m#tytqq(iJ;e>~^D2WjX(aD^?-ly}05BP=D-~^h~s@^!Ekhe%ZsXC6oh1yUrQ! zR;;H*^HI)7O@CwzMdi!f#v15OF-mL)8LpoZ=g-E;}Q z^$5Q63-$tn{h)9^B%pcudk)S`Bj@)H(anJB05EZqCN^MV047?}M2E}_#LB?zT*4_V zxMg{#tl*Fp?eeNi-Sp`@0dqfO9YyU^z_rXqw=MK^QaT+MPez5)LE-+i`efaHanyf% zcl_!8?59V|pB~PCd@%X({_xXz|MG78!)fcoaqIn2^X*~d)vEq{UVS#NKUsDkZ>CQU zXD<&29}XLz)|HRT!pC`r%umbwAJ@e{uM2-(X8t_K{>}e}}(Fh)w1FO7eoN;tfYd2->#O-*W$OE_#XU-eTJKi28@5`cX`M98@;k;*^c& zvG5{(eG2dsXtILFI%sf$hmI@Aqki$}q&r3yn6b_fA{yF{`hy_KYzD6de9rL zE45BKohPt#fxs#mq>@34Sv;2^GHHy!VFCkc&C2xX@a*NwqbDyHXFm)U-`AV79G-!~ z9yAfcVSpf?na0vMhU4g!D<1seAMXG3_xC^l?ZwAG&%b|BTOXtCeql0i9v%(uo>x~3 zqTdFpxkwK2p>bC#=!ZgKI1+;+fvCsjvDj=nr`_mrT09Pm$)Z*mghCx#U}W@qQ=Z-{AB1 z_&kPy%Mx-ZS4c@$@aPHwT`8oigmkr#;Z$%Dv!w0Sj68~ooi{bn#wN-Y9UHUnU{9Rf zg^Ry%@n$aW#L4N{*d;Ry(=!9IJ9^Fy?%rRs?);8LyUAqUA!)&3+~zWFapAod=A)LI$yyOnK?2qTN`4V6Xd0z>dWZ@#jd2%9@Sg?R+HQ3CRG7|N!TAxnL-JL zKQ8wt{ao#2(|?;%rNTX#$wWB+CqOtSHBZv8*V=iZE;tlXQZM zGzlaL<7yzM0rIjiA@rd<7tD8}d~nG#s6!L?SXP&T2sD3;&{LB0>?xe8nd!LdVZTa53Bi(G)r zlOj@5#1cuO5G$wCEbq$-KE`SC72+PN9&+=_OYKwkt7_4veBT7c~h-khMhA`Hc$kS%4E z0LnX%;$}v>S1}*t4YZVM-!HxskkjG@7VO|vLeg1Edy%m|&s*OYO+S})AB)OY8S!J% z6){%BNkcSuFbga17gYgu2hxr(J>?2qPl{p&Yv!nCj%gRTc7|)GxOR+dCxm{QHO}(p zX_ne{I>x@Z!p5n&1YPgdc!eZy=cjGldPp&bO`Du^owcvByOk9g({(%VjG267m9?&^ zH4=_Z{wiN-@nx{0K*n}hux$&}RLF*WK4Dq!T(P}&1x1TP@}+RYf+_)_IZo@(v*uG& zw~9%}9?sa$o5!VVYI~`A22rlq)##==i_O3*T8JoGP<_O9s7Q(C;FkrQJ5z>P@x1erDjj~<2Y{|CgajHE?zfqv-^^3TiN z){+mW++SRQ%9p5OjVd>&YJ-vLP_K5bSQ2E&Z-eU=A*-<9JRyGu>W%`Uo|$yT?+T`a zijUt&sz;b^=L*Y7(R7s4A7*shto|rxIL@0+ik7pA{cg>9Muw8ZE;ZL#&2_i#`LaXA zcUt$H)ZCOSDyF*?<5}H)*7TmX!^hp^wvVoQ#JELtYec<-mvTrJ2MHvZff89TR!BuF zsYnBibil|Ej!u#I1da>=e=q8)2P`?4hWvLDvPcl84EHH9zXJ71VXqMLi?TsUDIz00 z{G?$&Ao;Cd^!u>*yO`u4CSk}d4|j9Oq}}Ya ziB%F4Fk|IB>badY*>g6^U*;rHYov% zD!6H&Ctc#+F#m8`dN?aSniapF7auQ5PnP9ptI7|n+Vgee#isegs`YHye!A>D+YEj< zn!G%ozC9XzJZk;8t$#YKecV*299DlktbIPL{In|kv><+3q(3jSR8Nz2@xx*1-L~>> zTfRKZe>%*3++^RA(%4krZfft=)%PS$Hs#NU z(*s_0foHAwqk8PT8a*k7Hd+5X?VUodQQSTVS|%awG9ueX`A1R7aYT8#bHzBM>4r4N zNyQ6X@`r+O=L*Ar{W4zh@9&9Tr*-df?R!-7ETuk=sg?mn*)56L_)e=JBn{Mr#?k znng-ktdJq8fo3r%g8;R9aeTNqdH(e1$&2;H%lXl(Ztt*^Eudj98V}-NB8|cLE*J`3 zx#H0u|Ni{rACBK#uAjYZZjO*<(}%#pG#1Shi4qac!agkS1pTInP2<+eEpnYhW%20T zeseVLM&U@FNahJJPrw;06-{`oUX98wQhLOSfJ7D)i#!6Joy#&X@5pF3xqIKzzq?J} z-=~v57z`$z!KN{}2Q1+MTeibMcZf64;U;CohzaV6ikVgqX_Xe5Jv|x4M`d` zg#mC)fWVlL8=^X0$f^qjT`@2UrXeJe0NkOl(HAfU!j@p%9!UlhU5@51D({5y5xk7%8|7NRUhCD$ty-zksI}Vdes3_Y zb$Udt0ThZ}tY`vC@<2)K$qJk(*P7(p0HGZaJIH_{5*2ooZ^yU}jO|GC+@x(Xl2A_U zCqzD6z=W&2mCTQM{^1HFZ$Sg0$^O z%NQ@J$-k*6@$;~hz=#*J6`iMA*;6s9H|V8TdD zS;?sYnaPN`E<1JP2cbecmd?jwk*LcUH%kE>JEgh%PL*4nYZ2FYfyvr(Hq(zS~-X_j&dl-cAAY*40e8O^6-X<>)ux^z$ zEHV8Y(avD?3{jJ`SYVnNrkPOXqe)umCWK)^qJk=CK^5feBve(Oh;&8OCFpo1eZRc! z66LJCw1ra($VZTIopG)+wpGS_jS6CyjOof1n=IvuU4d@L;ckiMhH5lsy&9}K(@iPYfLkT zl~gUP)Ya0*t4L;`n6$(sDH@YVNQ%f`E+EMqlFmWtl_;*(Jj_$OZ6m2)M>I#0{+NC3 zihurQfyh>fVhtr6D|n6S-WrSRk@R7%2hqT*Qz0?Vw8!d3Bknu?$)&kg<|fl@sDRAnt;) z394wv_*wfNp#1BE{CA*g57Dp@H6K=qK&2$6;0NRkm+W>#&&1rKa!g$%ztt1+YC>9# zi_1~+?-#EW=9k05a!6DPh>BiO(Jd@{#8t1P?w2+KvSv`$49V&tWhJaBMRbKQm0Va~ zh!~4eQ#o#}r<`rX+fN6F+0eKUos|=-I&{>*&IZ|g~~@bkZV^A5XfMC*Aiaop;BbciSfEgv({&a-RDz&%K{z-!BUv4l5r| z8=p?=pN>jDZgZbj*^kTO<*fQ)Qhqlsz8&S>jdLHS`HzdjhgtUR7=Jy4Uk#y`1L)NN zeBK9t=z>q%;P*}NVI91vg6HMbSs{6n0}j#P0&q@(hDBJtiAhfY!Es!26j5%&+I2`X z52?pt)mcjM9GCo95MLIQZwtEr_P>93-5=ya^fsfrB(#^f<_V}ei7H2adCn~f*@QNm zIN-M=lTjQ+3uvl=#0PkMRY~9L*X~c6hn?)O5^v`My&aXh_SD^~HS52sua zPop4?L1Zu#ymH0kKmOg>yUXR%r-QSzOtIIPb2e-N~SyFM^?@-5gYzV`@`MtB2Ies9fX|v8|jv z1?~6TTfe1!dy}?zhZ?b9ve--xpT!licnY>a%N840Dm}}fXX~^qnT*Nf(>ZLqfX%pe z1(&wlIkGQi-w`nPbOL%zBd9nOU59jF;YpsGzgxEGC1?b~Mmf`} zWm7m|4xu6^#J8o`lq;y>S8QvFZ3CIs6y1`dS&~;_+99qBBQND-I4+E40}sqex|v#! z!L~shXNv0ugdtEG$5dce3+Huk-T>uoNZyMTV(CJrSnsq4+v)mbx;*Mn4m*RR{^)En zzgVu%=Bv$gHXDyi^?rEjheATM^M`DTc3PVvnE-y9d%QUV(yu;V;un&To^?kvZf z;RiCJP(~6+%YC@Yi<<(3Bb*Jy3K5_fPn7_$yj{Ei{d&as;bq_6^A*;Ht*cUalJ(IdhX+kD~h(Gl6_kw z$zi25lCfNM4Ef>;#}WDDteM)?m@%FgtdGi$i>!GIDoIq#!h%&waY*PlY3%}0?OY-I zl`EtqEv6uOu@;SY5|~4hB`jUQvNO~;=0#WR8RX0O^B^Htvlf?hegveJ^Tn$t7cCPqJi)&Y0)$#&WODf7; z6m#%u+X(e>t^-{~lAprYuJ}LxiLysh@^;I-cEvw^Lw?>BEMGy2)vid_3RP1}H*w8k zS9Nm&$%dpW0_;UZaF&og1~rEPVb^kymH)0}q1D5p4yq@qxy~C;OUC1Zew))CW;K*6 z@`jV5>9lOUTeF`xoL9NqaGf{Z_gbF&9p8ga;9)oTup7GH3EpdywD3~H8YRnF$#$<9 zzCXY(#^vp}Jsl0(gIS?7gBtU2b?&WB?UjkCG}IS+ntV%>ZR&GPQ?6;tcig2xpfZUT z`^j_-g$Ov2N<~6IzzIj4MbzCZ_=ZK-FlQK~rBgz3n3JEElq;0q^nHix{w=EcZN{)) zFbi`gX~v+!by`p-k7{`V4GpyOOHoxHw+u6;QAR(?Xa{Lk2az>FQ6nj80HRu4Sd9qF zK|#qUDEkE!zn~i6*8==%fLHNzb50IwVJ7u-Ku=HT8BrZGs$)g8%!rO1H}aBJG3=CM zK6NH+C;+ww>hI^{vpTx&zmzT7n5EGuuQs^IyTHR`Cj|yd+pDs)z91f=Vk8m zwD@^Y`P41GYiD0K@mDSEO_v~n@oJcTK1e?uU{40<;{i$@AN7!jZR9}{dCE2g;wPrI$s?d(sto z?f?CyPx?Pz2tQ}$1yOUa}mO-#A43%-Pkp&w$xRysN`E)shmN2jg#T%9E za5-2%Iom#ccKY=4{K?-g*Wb4*%}mTsB!X!$mPV2|n!3uBD_X}Vh3OP&HKK)#D;3lE z>=L6=W>G5bDwT_jLgkXFToRd?E7Z{Viam{y>vSt(5etC?nniHZ%Fg@6^|&%0m5Rl9 z1TdR@5<@_$4NFuJi6SVH`h{Y*KxE|$419r_CzNxAVvbPA76=$TK8+_l;7bqqN}5Pb zS7_*3EkmnjD&%ajm?IK$sJd7@ww%k9bLn#Kft0&1;U0)N2YL}RqUPr;(xz3^H?v7s zOpFIZ3!`gele8E(I71g_?BYy4?75d(65n>RD>hC_OSg;mB#dwQjPKZteFl@kphivT zBr4bpHj5=-?-o?BWHzSC$I?dG#uVFvvrG`(037I|G;Nfwi7_;BwkF2Y#KgL&!5Z^; zW3g~79uCJtfkem;ghR<_G!;+4sT2m2KTv-R)%j4d0}LB->@dfbtMN=t+gAi{d-Ah?oOu1r@J!0;=&$STXh`y289GY-QVIsjeTSE_PcyY==236>1*D zvM!LZUb%t{DUEe@r;)4T-d~njYzrhaEZeN}SUryj=26iKRBY3_ zHLjh*N@}LyY90jM%@L5d^VhT>Z}Y|E2`P#-DqkV;B`jZ%B!IrsLb`y+NT^WoAVZ#u z=dfr7k%|ybK>-y=Fd@%j@eGm75ZRpS|D{+^-9?pO>Psk>FnI-+e=WUrHFhzfCRui6 zxON%umTL}o?N-0cfb14mT=#I7FLw-BgG%z#Evd1K-K(X(qC!N80wzPg4M|}Je;u#b zt@)I`J7RquuOL6{8kVmi1@&qWRaAU=JxE1W-5i55QaghHXB8FQO)8$kx}%V&XQO46 zzbo5mjfl95=_Z7JoztHb4MzptVUDW1b(qy|^Sa}L;iP0ftJ?0?9Cz!EGitoz7g}7j zycccXMcaSg@=>!Mb@xflaa^$;SMA5m@No~>4hoZAz18UzTVt#-OVpNu>e5}E+elZG zhsILZP-q$R4O_nH%C~*_PB7n#7Wz@56^8PG7~~Jdy#A2e>kWl`U@Dx=Bud$6Iqj=p zjuvhk683r4K7h0&15o20s^3o=*cp>3ZIGZ^38a#yl>CH}8CBdtEv#}tOg?i6sRxj} z4@tU7VJpFJL^+KZuNf1xVxmSwSPcoweqkjbtOkX(kf;_SkHUILSn_dmE*4>D5DpgM zU=vO*Zs(vj4r1k?b{^*B<8Be*m1F|4d{|XV=xd;*g*tnLZS3eYJQ+$OBcfMOGt93_NjAa5HNEkp8&N3-;+ zw_)X3Oz{X-yv!;tD~b@D;lL;hY#PKlRhOf&YT}(-xQ4jukh=+bTadSfILSZC7GdpX?ERc;kahQP zR~L45L01oS_EOF+=x9N|%!3q5vEHz7a8(zs!6;Iz zxH2hSD7ekz-{J|s<4N`evO7}6zDl*PQPNdPjzS?)$V3VWUnS%!`7Ak)A>-~#Nm}sf zQUSvt<^)wd+#sx&_+2AwYCM>lXhRFLYh`!soW7GYaC1f;&dkSI1=tfGr|aR=om|+! zbV(27oZCY7K8H;wDZyZ|natf!EIykn&Y%sYPj34xek9vbgz2SrY=-zO0 zF`3_AZXRq;hQleCuj=B6!Vk;csKknkt*FQbiR>x910uf=%bjNWvy5e@mm>)vYVhF53ke3ny)1 z*8*3raIP}8)xU6s>B<#fhAbSr*f&?TG_#gX&b-N+*Lm}bJQggJE6NVa6$R22)@xT# z`#~Jr-MY;!`GkV?C~vu2v_7o5o;7{nmmQ~=b{P{b;u7+Td6?Fc_uw-~F#@ReqmwIF zkk@_qD%ZLoPgbaWgDcmVVudP}$aO*QU1Up0y1W*Jbb(ycVvdMsuxJVke-+UbmCR7- z43p0=#je!0>Pys1T(!nj8&tJMl)EAo*9F6`=1LaSXa+S;G20D3eA!-ly;gGu?cOZ~ zm0gVsN&+M*WD9C6MKZsdngOY)oEapVUE4-7N2SFD{AGQ`Kh1YTF(1CngZy9r{LKbY zkfB_WB9)?CLMrkPo&2MpqUs5%8mA~%41?TtOnjbFJwpx05pmx^Z3anhSnagUlB z)2(x)B6Qolc9T`F2^CenGp9Yu>yL}ZlZu6;#c9=kQnQ~_?WZ-zl`be?>?TCcC{ehM zs?KfAept6|>W)<_wCF(NPPWyozxhNQA6P)6fTELH`)S)UO$ zOJIWt)r)bx1ks2Ll*BVpL7_TJ&BucCQ-0 zTaKO;Bd7WB5$ZgQ>sCI=VMurs=bfh5>nMNXlXe}dxmS4-R(zjO{D3N77c`f3?PXbW znbrLF|8!l)`ycP|FA4RhjQTRIx)+lU9D+-dAHiE;6w#O>IBp#U6H3;QO)Dj8cr-# zhT^pX)*RG2$CLSk`zOyXAHV(&$H&hHwQfG*%f*9PD3(owSv-~5<;oRIwc?hD^ViJp z{^Isu{pG=LzhT`t;NKRgm}%S~Qlm$pcX5p_uF1u7c!e-(?>521S*c%56(J8E zGB*g{yalXBP&x04#uO$8Q)!_IjC)+;p2Wda`-SGXGK5-?ydTd80np<2DXnI{Mnw|~ zZ}7OkRx8(P6k3H?D-ozk>F^mc4&@4&fGHPqj8dLo z$%8b!f}YbhFlQ#(%uFX;(Xp^Qc23vH>3KLKA7>uqZo=GokT>x2njRizW_uM3mEb_k zqjR||2A9iV^O!6ilgVXsBqS=h5))75Gr$Pv`(143m;q)Uj+q$|>5 zJ1Vk60(+8UjWR4jy4laNM!Ak8&k1oIDBF&+Y-y$~!?5QVwj9fzVcRnt2f=mWTo1WgVknxe0sV$x;tCk>kS@u`%ij<=l$Wc-tbX( zaIZ6XFq%DHA3eW&e?DCx#j-9ISNZ{k8GQd?SLN5u|^=Ym;olxcw3z6N}#?7 z8VcaC2$?9*sScak@NqcZMbix&#-WfWZkL7)^q}^ZU-_Gm;esmTRYvzJuYXn6UyxV52&Zb>tJr82 zQUxw?D zI7j3QDzd9AQ8~3OBCXn_mE_3^Q~p8=@(9aFS1hleyrTtm)fUfC@f0O3AtWSDCw z;(l5;$>>&;B1lW9*O{xPB>)PlZurLH5O5^k-5^v*Bn5X_$tV59<6it>CwkEg-K_`i*8F#?{`0E;q~tv+ zxVJgi1~zSCij7xr7~~$sSSLxwBFyQzMKz0J>Xx5}<*!nTH)-{|vi`DV`dHC@%BugL z|9Iot73aK5LiH)5y2KS{AyLc3fu!`XlI75HEGALFYXX5#4u=}qn+_=PkSd=rmJvrC_cn2V8xMA|P!|bwAzvHv)S+MY znZk&>ScT??gU2r(KYRK7!NW(V$9I?H6{Oy35ScoTwlYvBmulsqMjjzuQ6-QnnyP}a zY7VJ(iq%zTbbdy<;)i$t+u7NxQN33P`||N%9**azHI`s5oyw-KU2#jqyvaZKmi^rg z`Zs&*n+)D8gMxsM5302SCdIt zn}okt2;rc~>l10MbcKy3wjT(bG_i{%b8~fmsV`-Lvmv4o2T^Y%ZgzVW1`9{3y3Lb( z!xG(~@yUG47TgpFZ;3^>C6WWFj479KloGC5#8(NpG9E+3-WPKBg#w01%+|=b9tA(8 z7Us14mYy1~n3(qa=KYpszh$F$9qhh~H*oU@9^TN)Yq_{(8=EjQ0Ugt;WEv$*jfkxf zawUAeL?Dz3Br<_aD$z(3X0gU8GKK{B?~28J>sWdvJjV6}Vx(8|1nG zp&wEt2pw9sW$OMyGhS_H+Jp9Rwpy%@W{Z=-=(N>2Z?+yZJC9r4hpp~;vv=I+9d<^W z!D2N#tTqNwEUyW~Wo|%XgG44=Xu$+Fl<$N&E|lTM_C5H%pV$v(_rrNsm=J_fc^Gu1 z(lAkMlSzhg?YR0zRCzNZzY~@*!ZLP5!HuZ+akVI^mBD&d)~as! zmE(l`5LVnvtDhCLFY>wTPawWUSk~b(^zL^_Q}y)12j^XnRz4+|QX$5e?~z6(C(h%EPO5n~?H) zlPS1c_CQhrk*^SHXo5Ua=cFr8#RgN5$K80v7fwJsQNYp_Lb`$qDT)Po$wtMyh~^|G z5b~-anj_)`8C1H!WD8urOp^?tDpOr$l~%3OD$*_6wE7TNZ7?cpR7vIv6)Q}&3wffr z0su9Z0!yhu1`0Fs1^KQ>?T}Bnas?z`fwCniU4oJYwc=Dvt@?n;Nao}_q~0XupW^(N z@d}Dhi2U;O>v+YD4Xj*2yA>KK`5dGQU(68Y6j4rK#TZsl>oMY@X;^R=m)-+a0A)a$ zzfVxZaa1~VF^jryYc4u@_dP&0leBuCQLpl9iW9hsgvu6I9TDoItmZJUUl&ZPl4V`8 z9F{EGlI4hs`M78~F4>PuuH%xMDw9>TZ%ekrvVBvrFRPwGB~~wExl#!(HDkp=urv!+ z7QxyoP+NH`b9Z^-EDar{zP;3SmAk>(Al@9OYQt2alfoOJRKXNR#O@f^5$3z10(V^M zhqTeOB~^4HRUh666YUt$j;9*{R!usaPap~XoQHWI$j#_t7eLX9_oMuRSJR7GT4}gc=_@iFp$sqM?1V0 zm5G1`jazbvr<4w$fIZ^V`0O&kt0f|qLd+KTsjN1x+_W!q(4;qq z1)nSCGI*>z9L^mMpUxGt9E=;H-8I7=^qt;i9O}BfdTMf&Nrgg7lXAPXfoc5Gt^O zx&2`7W*~dhL)>)YH*M%GD{{*WerHVGHl_9~;2j%8wJ`W)wiq1Q)${87efYjoxf9+4M)- zR_CZ%KdDsjR_Yhk##yy>RB5luol&LNst!u^Q7Th+#R;V=F0lea6UfseTob~zQd2EV z7e;gAcRcu>8{c!`dk&oA!DK$f5Q5`yrcx>|JFVk(?S8BDxS6|GBM!^xtOyTlNV|!a z+jueu+mfK1{M0@`=>@dDq$380AS{{A0=WuMY$YoLur@{-vrK!@7%ZpL)pWcp)JKtY z#{xEVshT2H6+lf|dT^t#{I0wamN%yI%Ae`R;xOp8qb3Dr6k=K?ra3?~cM$FEr0Pyc zN^=VsZXw4n7lzf+xLyfaw7Aol^BT(mT_d6%1KKTWe2}v}$y=XgO)s*BS2^wLg8Fqy z`2Z6vBlL#j+p1%);$-ezAsd0}RmQN&8rI~I(C@lk>!`}iq$@D(6xB^BS{SE<@v6Nk zdESRKt(d$P5Y_#nhELS+h$=2Y!N$$oIjx{<3K|ZHUHxsUorjrp#Uibr;Z%k21qqCd zag{Y+H7%v;R}>tpf^$`LP$AFrj&+vGhB{IM8mo+LNmy0{NfgUr#vH>rc}9v$XC6)oekD6zd!}MVvV_D5D%}Y|dY#>#(B*E9hJ5o^S&_Pc zWGnb;nnpqexjtF$=4*;G=-L(k<)5erVd>@Ruhv&k^~4m{z2hOp1W`;d#RMf!DCLUx`~J%aVyh-BzumG!q8E_yd27?J!SpHC>KIm%9lsOlI}o}kJTTy>n) ztaG|q&NR+jrg_VhXvy{r{87`+bjt}_hHs|ly@B$94AHFF|}I8wJZcWIWU*W zgV}a8Kk}E?p6Zdmwh7nQ;rcREnfZ$oZ(-~#POPP=tv2(t7NOoM)|tnv!+5UkM=Hj6 zM&yUNo)q7k5_nV65TZ$BEO6PGZg_LuV0jcOj{?PkKiBhR+Wt(#pRNVaQV7mQQdl$r z#iEILIGXVLlWteaZo$3QV$|LM9gU=^7E@J1qFPwkj0)Q^VJ{&Z0>V*JH~@J6FI(@~ zBUzRv=22Yj><*`=XWCU|r3>%9_uiWuapQU$-h1!Um3M8brf1rZU0{I~1d#$HNFuqy ziuy)<5Fm)u50Ug)_eNIL^au+)2;9sFWJYFW#(BzIRd!HOFNuS!?_Z_2;jR=?Ynzgjb|m-y#%?6Vp2VvM{PAumUKmgb8A@~j6v>3~l< zd7gIeQ8UYl%5^nyT}@usIKfC?loM+@Jj49+ymg*b%|qv_sAQc`ZqmAWOh51&+AhO7 zs(+T(enV=$Wpv-MMouceW=y}K4FCC`-gw1-_f-2k#`1TR<`0RrwjfTn;#1JrrK_pzj3m`$jbPZ<*bbmLwc>es;Z~t`td zpfC={Xe3ocv$tOHFYf*qAD+J_l^xl&61z@p*NbdMk;x*`*+puX$mUlBqS{o_3?wa3 z!ipyBXwrdjl8|;LBPPE`<+95n4t3UL0A0qAU2d|RDy(BL+D)W`1nZo!TXY*zjyxLhiC8KJ^khJ>CcZ(|MvLwU!I@+ zjZFBFRwC3&Br?&N;QZ)RcyuZ~IaQu3G-8)lk=APoqq1%mj;%){`$t{JFY2y;)pUQ@ z^_-8qs*YP#aVkigG;b8fG$$U}9iQqXtP{n}ikMLu(J4b}WmvC|nC(%!FW?Hhy$M?| zYm7mfG%3%Oh1uG1y7h6g`$4qvez5#AFZ~NQ@u3sBV~36%kiZ2?Jc!(fr~{}r#K8|9 z)kHu|6jaB#e`HXThO_{z%%Ud|^yhB$Z>-n{R_xS@D;=~gSc{~4$y`5}tU4p4AyANb z(npTShmOcc-t@;|=xz)@Pmt0itxVABD6S15+5oEb6EYto^3kV$;wXR!!iXk;IkRLM zDY9&1((J98-F3CTDVBC@@q#U1v6UTLU$V^!+o{uSjA$mYh96*U5k%|CDr|tnk{1{Y z=T`XKg`WHIlK_5?Gl~#?$A^C6gg>!BVi#--ApST?V9c~tf41m7?bV)CsfQ%ACJH?q zEa7>Y$zc@$tOH>Juw(&M7%+yi_FyIu&g6kSr@P%M+3hsCqj7J(>Cd-=#cr{=cz*x- z_b(s*;l+ci<(jPyqG-bnRgGXt0@XgDhksMw{;Yi^Ze6&WyCmJtCK7pz99G}OwMVq> zh%wxwO((RK&(e%3&z!Eaw%5UzapbG4VQmukHUu-SyJe!hlQ}(aRL5>wiDY#~XTROO<0vm3BM0l5kXGyr1 zglk1OH>7h%zSW6?QS30w4l!*Z!=|8H=hf?+Y7Ovg@|qo_-=mygnYXZM!~K8-!OKmJTb7Vw1uHkGYJ(~_7>DAPH7b7ta*JYvD7T1e zhpP9Oc8}@ynEo9*Ot<4qgV1g`aP1o7&>i@*RBR8YFk3>$J!Xw-R@iM|olAIY`khw*eO3G$2)JR(R_b|Niy|`S$wH^&rcfZl2doK<%iY9l_c$ zsvYCn38tAM>M5*RfGX~nxy!1q0PTak;W235C3&x?+3&Oir-P(qT2PM>&5+OzX#E`5 z?;-vDy#79{zrhSwlyOB_MwFvNxrVfJ&N|jb8)q7P&v4wd#a$abw87(hDs;vAZi=33 z#(zbH)XODE^v&AqpO8Jb?l z#`{Ejo~jJOWYY?k6-ing!zD3P8iQ3S%mgw{tmI!}5tdngtjrTO%?xG*T_ND}bqyGj>43pkNq5+6knZ z7Gz^kILx2)fxA86ZZ~_klR0Wa8`$f zEkx2qWkW3^WT)?FWb4_Ot2qT^dEP{zrU*d>8kSmzWC*a zezm5*Ska#^=}%|W%Q5-9k3a3Ak6O@!2KbTsx zjXKh55Y0MKVjvR9Ao)0w3&Ma0OuJGMSH$azdR*C%8%=natgluGcF=GS4tIe-H}31j z+=GcL zKv1Co!8nYUVX6&x*X{kYn@_*{?)v!`!^JgI8slUUhO_yc8vz3p6e}Z{H~AIvBdt#C zwrZ1ZTij)iI`k2{I^a}$J!+R%*G!ZrvfM+Z1K1oVG|%vmkFgOY2Xf+Iw-` zS<)cRnB*CwGGkC>b?U59n>FjRR%6^|2|8?Ur^Dq7IwNUE3N|NkZGu$98EKRfg-Jn> z5CjOJpAh*7k)IX?SW&Pj43>nUk|4z0vZ4?z4pGuDDT@$_7_LeXniQ!@Q^GiNH^P1t zVvoa&C_7Q07=D_hL@8RHVbp0_nt?(o2KJn5yYw(ULrA?MX(BnH)yI`X4}e9I%4@qI-i3J6b;vFc&Aex zj{CFuY_pnNZpP0pCqF#j{F~og|C`_3e0H_zbtWL)4^l%DF_u$vVR?JfycRTedba1o zs6-~2@!LS77}g%6hEu{Uz%4@9BFvkGS(7kr5GHlpg&cDmN?~U!?H?4vGa^36BNN0w z0$sC$YlnCq;J&AX=OyX*g0#G*jjtKqm#q3JD%oUCd%=&J{-dg2Q1r=~arLNh@CwGx zv1Q(Qg^ll&g;{5)Wlq=@lw-xX4@1vg3(7UcY@>py59oVoT`#HW#?{TRyy};heG<+q zW_imFckM~{1?|4zQzINJ(z>{n3d*{o`N2|rawh9u7d@+@cg1=ajAu@JW|U_^dX}VT z#pwj@Uf`|;=33y+1@2f9jy37nQjQ&UkP6baCoDV6%)KFRVLg8|0IJt{ZZ%YLZ1UQ)85vXb|Tw^DJN?Qp9Whnea8@N~W=^fqb%-^MGHYtAcB?v^tO z#fpzn$XBpzd0++0SCD)SD>m>!EfCEP(e4o4JGQ8Hi*ZJw*$^7e8Qyw@{?;oFk&3ro zLB8>dHLm8=;w|bGAFtqp8@Hz?TU2+;hDUoq!*NiH!>JAbw3X%gUw8$_H&!7Yx^k=^D3OlUD9!n$xZk&Qy<$`ow zkbX`o_O$=DrkFFyB^?`6xiZBRsBWBDhAJ1{=0i{CVX%D}Yb}$FX`(!i)59n=3NRB_ zaqh0J0-beiv`vmysrEQi>BQ+q0INF+RZG5N&Xr8Lq6IA5k(!HW`Po6FHcNK4@%AR% zSo*57Ky@BzEV&QU?KRL|f$e3XIfv>~xH^K1ZHTJC7>(f+Ns$ao&=j|U1qe7nBhexn zsbHZh>Z_yfCgNx#wk~4sqlO-=?G{wsyu6oJ_CeJE)J*f56`SkL*>)2f4cPIZIvun| zoo2H{F=!44;}n!&kT?y+kW3^S31&jRLd=DyYz$zlg6Hp9uV-Kf?Gw3ta1fn){E)EJ<`0AU=& ziXhnpJ1fpB9(?}&Z|}eS^>qEDTwjw+6GmVl8-R0B5=@ui{H<5`Y{t0P2}S~BDvrfM zaL@yKt$^Q}30V^nYba#!2DA>J%HvfByqbtd6LP9Uc2&TpbURg6uf`bAm;)+XKwUc?=EX&eWQMMt-H6&m~4l!DS zaa3!Oem5~11Up@4rD-Co%0f|?qR--oGKv%<&akp9qXHOhj@ART5umI&+EZY{2pdI8 zF{lzR)Pq3P6)&2Cq&`R(qJ$wq+ES=HRS2cC2`~>(2vVbvRuSq|!C^Dis0JyWU5S$}mtO&DpwB0RE$L-x> z@Mzol;-c}x!{)#K)#N|?VfRnJzxv_Xb~BmN)mgl{HCOH{tB*8|M~2oTYjx#Dh+xbe z_bAg=38+7V^=F7#ggRxAQ=YNPB1UQ4EX~`cxLaBYX$EQA1`b_QiAUwki#DI;{kRgn zVf;6Q_W|a9ggBofwofth7r5~iseeUjUen4ah;)|`3?s*_z-h%NqTJG2R6PU@D~4O^ z?Q32wZoR_3CGC8(EY2uy$EGu`P0`C~06#FD^)3n546#l?^B6FWGWtPM+m0%00a?W- z<-B5=H*YcLo^b6CUa@7IYudh|_?aVXUMl$Sa+n6|R0mkUg7{*MC8S%z+5?)~HG0J#b13;E z4_Lm0WE=~Qf^-2%7X{g}Amh~nI;aJ#-olzKtbNA@IV}2^nzsc$7NPy;gB7H1OKLgy zc%vV<`YqhGZiC$>X6Sdf0gwZnuDnHas}>tn{pQpL`Tu*xq9Fg~^5k7T$d2!brQ?ic zj;g1eRA7n`CL5!&2_olfW^?j+Mz)B{wn_C>M*lEp*~HWXpQvoT+wuzsNp3+jOcDJQ z*G@?Fg8S}>{sJ~$qLypie#4mq-%{1HEO}RD568Of-W8pfjN_WNT~p3$+H=KsMf0p! z*SzSNu;BrlYOyd~s(_VoyuJ;#t~|YmuE7IecOP!gqxDgwG>DMBFwqN;0}nm)l_rtq zEH#*ChSO}j4^$c%ww`8M391t%yCI_E$2&fv>mhn>vhOcWqV-j}cbV$!VvSX}GKp8G z>Ba(VuaVxC9A2=KYi4vs4K9i99&azO<^ZcVv04+YHqlBGDb^vn43cbtA|VPxXc#5) zIFX_7REbD6sAP{x^vF;b^Yjqgko%|LtEfyH*m#vU+y`{mfaZd;Tu`}z4u3p|Y!1uk z$f0rvI&^jgG|QZJmD8_s27aO(Vwxky34Ew*1r^=AvI}sidU;L1pzVR$7ND%BWYwgE zGmTnWUQa7(DMc-(2FdJ_>Yql$Sr(2GCdXwkG6j!@*A8*UoxcDOWS@`0M}YjaTFYRRHEryt8t@2Lf+I1unYrVvH^p%0;|f z;rx&x`-MU$5U=Rmq{xBZb3(s#f**Ubr~ZU26wzlAb~5j8V!;6uoK}L%rl(i3(U>8f z)#o4`M(K)G4P8;=MHR%^3$9ARs%TCf$!fwGZ78h^0s2tEz#qOqDqmji$trvqRWPHD zWOT8-F^O2xgfT|yLX^tK9Q#V|`6~ayTl*_l>91|{dp1HG#+`XQO=39~EmUBlfi!!} zd|bP~Y`xl5et%8>>u2;oebf0r{$cgM|HI{f^=kKcy>4{2+0J82=e4@?8%O8!Nc&l` zG>xU>VcT(3^S5cu2cYI2Y!JeBIqcN{UTws#b{SMbixT!Ln@Q!eV0=J%U)56Ibip6S z@E=#$@8{6B!_1eh=;vks3)1RX>006$fbB=B-z3IJLMf<>1pHJlm3g#}nY#(B2j9T)?(DXqn|qlZ>GkS2sd@ z$b$EZoOy#fcW=F7$2hl)<2D|0z;W;j$6*e;V{u5>7^Bt!WbPNtL&!3QtyAO;Gt@fA zti0Rs!_jV^o^3~2_mpK%ns$69B)5O()^7C%QmzY%6)5Le7nD0hbAjpisBXtMYT$H2 zy*jYw41|v%7&x8SzrnOaON$73Ui&J^(E1sJidvyyB?o7Y&l?Ib@z8h8d=v;VRB6R(ur2w8v~$xci3m zaoTWE^zACXZN<0Y;fr^!SoeL#$?<@7-Y+^i)0h>VgQBNXjMhs)u}pBQd9JmH_b!8j z8~6C3b9~>^-}>8=V67i4c7tR)h_wQE+edVQOfOy^WP780e~@pr^3`ggTtli|yf#K_ zGq5_#RA%wgEW}Pd)YM;G#v1!f?|!y>nQE*O<#DDmff{qNy)F(fYV!x}&9mnEd3Eu$ zIDNuQZm7wIoJ`Q+6zb0M%>_`Krz_KBagr#lfeb;-LlRr-1ewoehwI(vHYOYcB1)|!*sx_oqf}B*S=2`VT zqnT%P^Q?ZJH_Rc^95ziL{ji|vgX%$EJpk0Bymp2dIWy<}{^x{ojPTacKhT3zor0=e zP}KoNF(JW&0>pa;InO}bDP$L5ZW--YH)4iK&U%Tv9)zD|n*sr?juSei-=NQKi zGvvD|^z{h%RWJEjGy0+ydQu8Lr2UVW(34{9X*qSDitV7#Jnda3t(&-J7n7`GO3o|B zG4mv9nnw)Fu)Ow{Ce8x)G&xGB%5SmSfR(YVw=KC z1(43h>8yj!s#ri#$(tGlZwm^vL2o5)J z?v9?9stXh=Wl||H17HBeKt;FTcL7GR4#$ibt-V4-*pLo=@fq8IQzhU@`>%_ z+;XNc3Cw0`#BG51{GU)0i453yhY4bUKH@*Kn?Kg8K9LLWNCfv3a)DYaRT(5Q{XLQH zmqOLgMbckN1Ru%I@2G_*da+O^7AZvnsqkDOJl6@&EyDAVLI@iT4M1q9mG_AM?XzqZ9BgA}++fE7YUXz$G$Qh%eY*y8*>Y7znw+ZUDdu8h##{4m1 z`iQoi6>W;L!^ApGl*^2JESS%U2K{h2l8dHNaWI<1d`ZThsv1&FMY1hObnnG`_u_qy zVo3GoDW`Jxb*lxbs$D4yvXVC5s#-sjt(C;++RZbDHb|6#H1W2J5Kk<=w z0@S?_DUK5A1ZK$MR+w^;jJH(r*PFp^&r@kyQC6Emv{_VNzzrB_!YDIJTR9-gnkTJU z+>*jfal{ZQ=);gU1Zx5?KPTN^koiD)0F;OFib!4)hYe}W43L&IZA&n=SWz7<38R&x zNaZM0z8feV2Utadwt|Eo#{vWzqTncv_)R4*}Y13A3J)VncFYD)vGu&$rR{R*psvzr!?nyBVK}x=E;*dD8gt#?V!xw;{+{WLq=cjI& z_;de5k|#e>gdaG<4=m&7hV!+b+Cy%n>Naq(eA8@`Qw!NUsrXUILV4>ITZH3BUcu*5 z9&$bpYOzK&d=Uz!=h)t6b@Hj6hqDq~&9TN*Z{a@FaQE)`iV|L;cHA|l-C=)riMMb@ zq2_LR4i~kz{VQbu@!zjtZnLcT=IZpVSNvknJwr}EFy#_g%rV&nla5gF1eMPDvmVuo z`*mfNi-cmE(q03mN1$Vq&=365vhAc5kPcJY1!U!R)_j!;sa+GgHKAW~ze&P&LAb6- z{}t`KVttn--@feIlzr>6@1o?rDY_pPU60C+$5s2ontfmM%xa-tJ=ti%r4CE0EU@sB2rUTj9CzLh@|zN-DPfr5Jaf!2NAz=u zhqKu=V%VU3x0BoC-UY0g7SvOS(?8>uwr&~Qf-p@`{Seaj3z{yd=IDW%9;of)wT+Cb zl8~38(qcry1jTGnQVL5e5qUkX>ZY}$oM8%@=a6*)+qby;iU~ZdM4!|XFPh0u+v!i+ zsZU$UPg{u>jo6D?>{%u9tP*=(NxrD2ACj?s!9PnnmT}WIuDOcIHZkQis_jROlbC)P z)9n-5r#bDHsP=b^_Iq0Q4XytTrT>yPzNSt8>1|)EfBQoB6=r^(l<&N!71L=#e!_c& zUYu|%fru^@G{=1QbeLP;iHptn< zDJ1H!uZ3DVn5m69J6NEN1Y3}&k+;{g)@suF&MR_0E0zhjYUFA+TJC54alh86vouM; z89d`B0UwKmDpb5oC0RU0qiGz;ATR(GauAY(NC088%}I0j_~94d|KaKD-|im#W;p+> z+FYS{Ih9K0Gg&kT(uFs3$2@jZ*kexzy>L8?CBtMULIW{4Wz)l2yi@U_1yv~UiP`uwx%j=~kKeod;V;k6j-+y-LMN7+PGy$6 zQqw0A^+#gyhce;EYSFPlEYOQZ8WE=!BDF}U6P+7HXFjEXTW*SOY1t)VEJ8|mR#2QK zMJN8#_3e zjyQqrSj26UylIvl-$TJmg1 z3iL&}!Fg_Yk{jR6k3Y;$K7qzEc5H2rf}=rr*ozE0iGC|HZWpFqc-||_2jFa&o{YlX zp{q79vpoae(dJv`LMKEH3)OkKyB^CS?B0Ul${bOLBU0CXQ_bsuN+M=9NDQY!+?8r<)!rD78_ z^{AHmdYt;*JpJ2o=C_0F??%8Mrnx^Y^1q*EzUjqYHv*p(UC(gaL(s^1#pkH;*QDuJ zg#HUm^#YMR$V+w^@hl{iiwo9y z!MZMr2iOBe_W^zs$eMC32*(0~wL5HbcdUKK*mj&( zP^K+u*btmoXx0cP4}7p<3Cb2Z=`t_nR(U?z5>YH+&IDu&kcX22PAv|lqlem3{IFOP zoS&GtI6r4(i&-|PWsRD7Ff-rXnop19)Z#WJl5e)T{Bs}gTd&}y;@}mEHOza(K`MB! zxK)dTS19?FolneAuJ}U=^`UZvuMIgEh3?H+2ImHxOQ5&)CLBs`iRV7aDaVcvSs3{I zPfj7w+qlG^xs{3ysycXuW`}9^xVE-J-g?D9-bOIKyMCKr@jt)6h28!);WwbSqw`TFyG|peFqRmyPF%Q%x;rck;o*;t> zJ)D&L<7RhMYYoV17i2prsvRS{A+i^s`aXK>VWwVo<}1$prFnpz1n7Q{XorYajN89Z z9iTieG}rj>rqI1e)iyzP5iQQrwRyfdE3}qSdk3|z(v?+^95}$b3#ogEnwO~t*jkXS zhuC_AX-275l<35;Rvc+1;8q4}f>aZw8yHa`P?mzp5>8Ypyvd>s253^T1{G-2-Y)Cv zv-VNRJ}ukkWy_p3%_+lz)3bv&UgG*2((s5fJ*12mxQ-LiIp?CJVb5CkMcazBOflmK zGW0=R2hel?Z9lIcg2n-8;x4*5T^G=F0aYiX=%nSXl(d-?*AtRzTvm?COA$petYAa( za#Yn!>3g|1$rx9~@PkT>cZ^p0Wjpm*EB#q3^;t9hX+8Z}E%S(s?(?2$%(99Z_HoVq zxN;j)O(L3hST~7j*GcV7M)MNXeue7(K>bzjq*ROo-j=X9ChdBwkbseO%@t|PL6 z^@Px#gr&z;;fY@_NqAJbs4)|=C4w#>7HwCH53g3g`t0em>xWmfn?-ZcCRr*M!ICZp z2-gbPCQ@i3`34NMu+)HxOiR9b**j(f+;tZZHeh!Zv{bUDO2+&yzXA$c@l2pzghtc) zWYHUpd);2IUM&|1kN|=t;HRNT2~V(Cibm2DoW&skg+RDafDo`i;fLG=Bsk}aw%d0fmMJnToM14o0x}#OxF({9WrgM{9s`tx< z_LGlvAH1*l`Ca85k?P!FP$$B^A_Dd+#ITVcb>r=Z3xTD9(EED*U!9-+)h~YfSMUAg zZ|{8kp+Iyh(})xnfy#ZZbe+fycf|4!q~Z_N;(G>(z$g~$#S*PpsuhcM5`kWF>QbL2 z%_71hrJNGnC_t2_S@FHl>5={J9rx*-h~!R2eFxOuMRa!w{Sjk0DH(({qqNQ=X_&-a zyKv$?UxiLLq0?RHbRRrhyUym8v$6Jkq&piKPDjR*p+zvTN&60E+pVkn&E=4jiTLqY z6iQ~Y=|Vh<2lI>@tXQF@9_}iTfe@YCLuVhL^Pi&2pAidjW9FKU)0<&-G005@g;5_K z_OL;h81{(CfLx5w#UwMHgnAQqePp8t#zNN#4S?dZ+PzxNA3eW(`oq(gfB)&re|Y)) zzkd1jcMtDBUayC}5mssikg_sK3ge70)evO|vfNAyuFTNRl3SS)V?(fGjrQG{NeEiH z!Ko?RlPBt`1Z{{zws^{$1tKt#rs)h_&d`kv-HoCxZ@z9zRt!-_6~v`pNa{zVK};GZ zBw<3#5h3JBQUlONh;_lm2wKi!l{8XLLZw)t6e?7Gg(hb*W~ictX*rBZ@~AKi3sSH+ zfyv^ODo*Rtq%nuvA<~CeV%+;)brNrGBfSTq!PDU2Nud8IRA0vtHWLZworZ!%1{+Qw z-6uKyM``^B3Ef9A)lo!t2I$q*uz!gbo;S(w=j4C$fc$SCVE?c!{Arr~!#MNDY35J! z>~F`(uR7sZHSbHt@f5W@%m`}@{(mixd<48uK?w|f;8_)%Z{|}2yUU|*P@Q4x!e#TwINi%M0N8QD*ZXHM>a;E)tz}qB%>{C&|V%-I}G_i&Sr$99+c*SCQ^E z*j_~1GoUvkhO^3O))~zwqeZVfrK|lc)resA0M_uLO%LAjP(yEV>M2g$^w>!bTzJ=w zwY*5fht&LVEdW;|WG7Xg=Gyy2ZSA9{X1MRdhGAxst<3ZF4b-|sIuBFjwHNIf(nT{^ zvSDQxQ+2a-PqF1KbzOANj`u9^zzU6R(9F)g=b&ppu?^F^Fu4rl(+D<5(S5MgMXN2W z#NaGMGAXtgt5iabn!nfdjXR!s*EMh0<`on73*6AU3rcsN)IDWPpBJqhk7!PP)k{LP zrS+FZ%Vp8Np{#SvJcc-nFmy6H?w_}xGmQ(@DP)@=hb(KpQ?6lw>t={*T#)twK_hua zht43+Ip8==TaV+$qm<=1=Qu~a5+zT)7WS?_QB8F8&cNx<>N~m`+)i|tb1XSagYL`|$0aahXnr|`PA4$Uxl>RGP|BB(@ zyu$LI{==L3Aph=D?Wd4&>6eyu$9d(kUwqFZI`(m1;nn0~mTc6S3j4rRa?q;1czpHk zm!H45d9oi~4NH?6g5xPK95oUN51WovflQ;2X(QWGSh02y+L(2>Ws(ZUb|UkP%l*{q@tY*H>S*2YZ~Z#*)cQCJp5Q5`NPcODevn zm!CP*qM$*R^_qy3uZAUYz@Lp-!#<7QDf5_xF8ztecpk6_Lw0e%A@(~ZUZ=!u7dkBG zR^y3PeQc2&S;Y5TCUGF34J3`0kV4@;KQ|wpsgF)YM-qv^?XVQmi82Y+tLb((QtLP& zS`o_LF?rq-Dt`9C$N%c*@BjSH(I*1&sZ1+W*o5kUNaa75*^Wfo55@siC7^%=bpA$^s!FyNx*ahdPKNWM4E-PMgYmr;^Gs}**(ATC@MY5DDM_DN4V~o zlZvWE)V9lqZf)PC?l_e#hpgig_r1cA|9s*X%>9CuU$}IO7IyK%ELqs33zu}^mCb$f zxnD8!t0n=>FsSW?^zDeL5wVq{E;{Z-6QO)EmQH0NY0#HNojJx*sOsUC3hl}8k&K=h zYBP6l9vaO9-HER`^wtLc+Avrf1?yvfW8!Vi+^w0TKC@Nl*5b@cj;-*(iwv{OjH#^$ zy^G8F&1d^Zzq)$z`Q?)r7f-g!>sn`#VLBe9Zpc+6$&xTxm83f|U@Xtil=+1!ztjK= zU3#id3@yo#D?9P$XRiFn4D{65rWvUE^2KCNmQa(JqWivg_b?nHf7q{ zR85&EN@FAk=L7OMEsN2zC?$)K>Lg_VXgkD)uwsTPqih9bN+?}KC>Eru8M+y#I{~uh zz>7wd(nFLcN2xNjDqU2is;YEd4OCTNSqoPzNZXB#eALoiyL9xPI0lb>oM4oO36xDI zrb-!qon@hgzipKbDC0%P>Z&o@ZC_rXN|(IyTJG3)HlQU>sI7> zIry{`cvcBKs|FsIyf>6%kC?ZhaSQ0TY3+4R{|qs`rYv6&`j?2}2`IV&gxj=emJs#B zlDc2Uxa75vy32co`Hfc`q~gzBf!c1k4vgG1mp@xg_0}6o>1Qc3$u}e#|A~JUE8uy5!@yEP8gdoA0B=x6HZ?Q~Wbt zvFE&kb?y%#i#=`G)7*a9xF@;2ymrTL?kB&m#o`diqiyy&K=IE?#UXIP2P6c*O!0&rtCc6EAVumQY<%x(igd1vTr8dJh<` zLF*&fz0H`1VRh9d>V#F}jA@0qc9`>ua6F*xmyCJK8kQy9rfAx;+$-z3Vf_z_!AGUg zO)-2~4DE`c>$3l0&GV$;c+|2z?3%B8wq-vt=#%wfhg~kQ{r$q_v;67-FuBb3H<|W4 z-58~6{X}&Ts|=#majd?Kw=UxCt3+#`Y;7~`HQZZ~gJo&BtPNJJ!K%_-pp8kgJP5PB z0MqqSZ6DJQRVK04GSXNCD-$m}^e}x7-S<#E57~7S9T(R2(t}WC9&c^KwY9f6vlBx< z&3%zMTwfuL4bt2q&3&dc3*lWyzT$+cF0AgMnjWg{raEq_>%_Y@v}=KT+}oEG9@(IY z6P>y7g^ygh$)%H=IjO0S9);OKob4v)T8gBzI0{k-T7<|-fvM$64WQacSF7<_DcoTE zUDh{dd<%x3_It&0TJE`^ZCk#Vsdhu_w>00*bVZpKglUQy$B2Fa={UxSaf+E|IEQIY za2WY^uY3SRJH?b^Sk}u+8(CQ?DP!U?Dk>wwGBPZuqpD(DQ%UL@X;UX_9poJo*tNjC zThf2U1|OCqkIT^~rP$L_{5~Goi3Mp%T#W<$81Qah}<(H`D zdtCP?!uSJa_zi9Ng4MrbO|OgA|NJAbc$PN|-4axFoR;77%kJ6brvbAp>DT2Gwp_vm zBz#CdIq5e)fBx`?ufBYF|LJzH?=ig!4C5&`6xCxfJC*PkQ;{+sxCnL7(3B4ED&c)K zyex%BOsGxxs*s(|8mP36&FKI7|NXz;)Pn@IXv{+9gGDk|E+Ul@Q7tpoB3_}uGM+AD zsWO@_qnRR-WeNb9&k-Pq7a$Bq5ddiwg?2QR<5eEfBPdPNrN zu~aIZNfq)L90uOhnSSy!`MvjzXCF94AEm8wI^paQsdCPb#H}g6I_XxVY?72o7&o5B zjAs$UNyvB_w44U5=MkGA<`BhgqM-WRBRF=R9!E@aAZCFI?s(SXNoWi{i9~yR_xOW5 zcRtc-l#!qxhEh~9TJ8ml0|!{ugz+XgiWJ>w(D26y|R{9-173>zlUD&)GJwd zWGet?K$yRmV(UPKN!>24-o{khm~tJFFT>J#SUL?!MI-9G}<<<25eEhIIe2g|P{p3Ue)C9@$d9o@<)x9PEjqt{CYm3nM+aG{HMv z>At%AT-Sf(E)Ej~JQok;eVkOB<_({4Mv*fJvj$;Ge;U^x#dY`6dO=PvXI+M6*88%U z{8c^qDd!Tb>zc4_5ZgF!83LA3-pnxo44ss=8B?~S%6?Qij;Ysa-2=$@8EJiq>z_jM zM|t5@RA@>zhhW9x9f);_+LoA|<84vKK`l6N`wFuy zd9N@Glj>enF-mHufN4>%tzr8XJ0xuq&OPDS6ZRc>i|xl;Q1%OcWSIMgkC6MWi(YO$ z+S9Hb?b_1L4b5j?{MjoG>`U%_k@t!V*0E81ofvx}*)4r0$a2s$=Rs ze-OZL+jsoAfa>kx0^bYbHof5>75Xi1eCri_$YM*FH#pyJl%K$b@T?HyhOb5C3o#CZ z$ux)75bwN#lM2a!+tf|z;Xvfg#p3YEd0sNlN%(sqDX$7|yh3^Kii2A4$0ce$KZK8C z9J*of50kxlFy9$N#rqPfd0X_M{;^v8SSoJ4;t<^6Z)?jRpM&t;@|Rx0eSImX7E46D zK*V!IJViOjkgYN04p(m>^(v=Yq?DVC_9ADxF4$LT!yv4zxkcTmY66(nsB4eAu1WVp z+I`JfcSXaxqS=-W7iHUZ+4Z2}e_RPat;8OcWA{tZ>vH&h)&HpBe$uktw5%6x^Qvth zbuz7Px!j*H^9yqO6x+Q-77wA(9_%jituavVWh(7>u^nPs0lFJ1&Z3oVqIQ|7UxCdl zq|MiE(ETkt*s%Q#+uIP`Rj#v&widz0%wHXPi@jiVnCQ%NqiuGuj<;vQ%FtIHdP`$> zdEzWhZ0y)V4Q=eiU0wJaYhQikDbL--NraD7EUDI(Y_75T5~Xp2iDGqcbWJ2`Y>+_tFU zhbmFLmZWMxv7Rec^5qg(roj>hu@J)K>0+*00@~$lk4+8f_?QYWXwRCq@+VD{ense( z9Hf51IRj;wk@^Xtr zDOlQ|wV5^7QpR#jUykZ3F1DYfl$N~Z@k%+-DSEv-(Q~hoacxNO1h8n$iaMM z!i5-^!+~@dNWcIQ0tgTyAUJ}C!zcowKoIpO3+e7`a`E!@)vM1h zUw(OU^G$nv7RwZ!KJwn$3jjV8_T6&DqhI?UPJZKmlkGnv!P>k^_;PRw=f7+4#_$o-yo_DDBA=@Yd>$}VQyTsjpJZ# z+gn*5EX?=ErUyOa!=_=cY@lV0tfWa8w`*e_M>GUPQ6d)2;mNu`*)t`lve<$X9vuUn zhk@q9Q12l${sf+VADI46f$6UVrXK^-V|d0zr!s7$!~3>K$BQ>XyiO2}e5%*VPpXAQ zB)4&8&gI17DA@X*HT|zGse8`Cfv-jnw%9t=gh(JUyxxmxbIYmTCdfk{!vb138{E!}XN8!4?M^vXKr8tuw+!7FuA# zc`lge1~OcCl4p-gy>U$_VMY^ySdz%43YAo;nyA)dwOX`XPZt`cbiIZZ%fU>+8Oz!6 zf(0%c0rCc?B?WstXmE=34$#gX+C2t_O#h4>Tr*;qw8}NJy3ybnpVNY>*@$cp7W_KM z`(8-+ARsyQN?0y2%`Vz^iVlL3Q&h$)7-b7U_cmjHo3&iv%0Ylvb+NNHPSnhem^cwL zo3OAVCMIT}qgq--M^711??+-XP(RgA*QF-9W94lVFIv>1`vam5H#^lrJr&T4u1y`W?WD@Lel zf~luCDb*BL-tH{yB>!d2B8oYoT*Wlor2Z^r+$0R--PtmxBhg|K-El?ymMeaN79>~9 zlDF{+%_6Q|CP*w%ZIYyv+oWQfkZ zx9j(>?O#t3(OyF~(XcjD|q9Ly1kA3J?_@&x5jXmPu%veWp(!meT3da=mYW)Ws%P~0y%>KyXR&Ny}U_4GzVmT zub^&Yzwy-)_s|A zo@eYAdDCS{dr?s?N{T^I-YjU#B`{klChL=U_bfKPiB4V+y$ifK#VTF2)IjoOAX9M1 z^X5p-fECR|%N85Elgm(cjTO(L<+E629j`58wK-m$q19=qI`!0N*2dgan;1)dL#}Bj z;iNUfM+GC*M=;E0Ml&l5f6&F!-;1yfAZb4fHxT%2}N}#TUY9v=E!zEIRJ5}Z3hCJLB5`9i` zbefqm6C*a!=V2WI(h`FW8Bo_CEmNdti}kJXjwRkS$E%iD(HhG*W65AL5zfS;nP@y2 zPDFuh#9NQrh6&v?p&Uk~U0m44`Ms!UkdO?Ml0j13PYC--N`sV$Qc^^IWsne&kB-yQ zaauM`Nk_?@((-XeG0Cc?S?w%m7^e+`guYAYYLF`H6%!UNW?-T^I;=j97*5kRPT4DJ z24#IJ_NX5t+CfO!^--PB*KX03OE|T08zyE-f6{i+&mhLzIP=RW_cw9T|BT7LA*65P zlIJP$%ar_0TJ?Yb`}-g2L3k^lFfKi@96dBK9vON2M(L45$M)N$pkE7z^ax~%$GnqK z_5GWhpMLYr&H3YDwV%gR3DAdmm9T@0*oCN7irM6ZOB(Y@GC?W%;`^w6h#5M#t{%}8 zP-Q$QMV%tV&X2fw-*E+?Jql<~{RW}Wtnpg49;?c2lS2VRn(($tc)Li{(pV{q<}f$~ zgE0Vzf>0DeqG1dRBM<@vV1GQ9YL17So12SQZy&$;>iX?Z28*jiuHx|eJ$`Q>hM#M`{YD@d>}kL=I+xOj~LuNmgHLRu?%oM!@0k7Q5&P47?BDn`&aXTa|GHRv-(^2WEhkCsNl8Xai;iKzp@VziU_bJ( z?)w=ZM+EyN6?142t=x*sknTBVd5W1YFylI`AA_onPg-#Z%4QD96(!|KL(S-G*;5^N zX5r7A!nseh@Cue5-pb9{xLN0J#--=<%0qwbr9bh~$@$jBSUDLJ2fJtEHLRklT~TuC z3T|t`=gx;hX$Zxjm>%Y#`_ATNaKf^eUUPfoG<0k+!5Hgw{g6TcKDE+mPK zJibuHCi>{eMD(4}K`=25XI4OFV@a*Wi8Y&8o?_EuWJE(o%36X(o{!IfPXMK+^H@ zn@)Dy%kKt615h@E%_^oP#|5F8MbwiB z^<3l=QOTma)XiNpk=^D9Ij1_8sU}es<&H%~Je140aurvsV)AuNwu(xYgm{4qNi8Fy zWrRGGEF$7t&8dt+c|~Mj+L6r+T*J*p{BV zbIU++1C%#Vd4*IKXk`vp=1_SatS;R3g|)dfH|Cbw$Xf2Y>wTy@iB4A0@iN?-g3Xb? zK5|t@w#wL09BFbxMS7q}_m%0MD%~^WhxYQsS6@V1i&}R%?=NTl`KUMPbw<_ZAXDk$ z`8Jqtdtx06)-~ZhePo~|M%ws5o9yXQZC$FROEoAZTl!>2pX{pBeMN34EsPY|p(;Jl zCi+^UqeYuqxUNT=Cai6av<*Z{7j0-_H8oLIMe^!M)<|URv5Y&G_C*o_EDB?IERGd2 z;YuDZWr0GtecZ|u#&dZjDuNlbE-amBOvMk z(gCQT?7IW^_2rIX@{rkR;B(0XqA1;TirV0{(i{RkKTR#^UZMEY4we3KNt zO36M;tH0xle{;zhJ9((^ShIg$$9QBA?3)!wb{)%Y7WthDAfQEHLo(?d536rpJp1@k7(FI)u~5$?AJ0vCN^l}1_d!1-kU530mNuF2~?6(os4Z#2pvW_M1E*RXS(e~ zD>_e3WQ=iCAY0^ObM&Vy>A@-M{we!YhJ249$6nfGTncu{q&LilYQYQ`@B#0 zc=z|XpWf$v{6oe*bONf4naxJ$Vd;%a#}~l7-?7|J!@oQ zjjXJRl{vGqmJZg|#lG@#o&~rsLj2c|@GT;K1BqXQ;+KH7~YT*^}ClFSon?nYL8B`v-b<)891 z7yQ&#kXQ+0b4hHWif{GF3q|6b9bG+)%=U>TCw-|X+-Qq0w1wxI+>I!HPBO+vp85k4 z4Dh}(GgD+If>fUsYaJ7fhj`;2UjGPhevG$2!F!D8NR^nmQ!8J7?XPV7&5flvmnViC zq|Jgm45&kgx^%Echw>*-f&pb%aE^-EUCO~Rp$0sUa!UZOWq3Nfg@k6+`k2Pq~COUo5XoAhbE7yr%mTH}(v`Q+MN!5}Z6XZGa zRZO-fWGfO;aFSR=bL=jWV;4qXfAH}pmuANJgGLBrNZ$MJ=z8a z2T^4#J26Q7_>MsS354u8WDIk6794_G`|imHKYkf7)%IkNVH&)0^3RKA6@U<3wo)6vnp9*qEJK z@^f2p=`1fjrKP_#50XStUWCYbb>*tBtgW@RwX`><&c-Ov9)}0>R@E z(w@XCV<0oK5(9I5VoEOzxs9>7GL`4%>cm_fnJaxuxoau+Y^A=v)VG$&!-2U>&WEnz z(32mzQawA-vWDyCaNUSD^x?V&Ybc0@Bw82YRUTI2hKoY9C`F4(w4gx>2Do5Di@rn+ zDYl7fJ5p&x$`ztiOjL`xdLdUyrLt%==8fXEBxcUwh9a)7NA3HC!U!jaIQ|zzfe3C1EjLN^nrEj8l zT=6!g{>Q()%XnsE=)0rbEwnStJ3U3PJR#jCVAszPP^r z{M8rh(XyP#M*IQHYeiiu#34rQ;;>zWJH!dUEC(qnC}pEJLP;q*h`a{Ni&Q0uGT~82 zUCO9a@~{5iJFdWtJXkOEYb8#N++$P&ZfyiM7E-Q$138~2FJ_s|C_V3{2DMlthZf>M zh5*trC>4WZ1Q^DHAnJ={W0hWObhh2xyt;n-qj$gg2ea+#RK9C0U6*H`fVJynPImw zEOw^e#*k}h0?{Fhv(MxoGQ~8$hV6t6i7Hqf5Xqbu26bMW*r^v-6+DMV2!(X1ygS?U z;T5w#FSn(HMna%P1ac2spgCf4KB2Sj(WMXQhJBj#VBfm;!1~}*_<6~04r-cs!8r=1)n0k`wq?n2kTQ0^CSQ1_p|bY zxm)}$X8Str`ZnkO&4TC0)!~@lI5E z$u3-79U`6R<)9vNRyZ08?x@$0NA{tk8qCBVXgdUwag+JO~x{ z{MiF<^3WCg*p>cOSK(i{Dj#|4$HAr;>NpakXn9d=Zo|2alUOUj6%$x~8eDuoIQ<0a z9YpHPL|u}f8EV&#>Qhgm6990)Zb8&SjK4>)?!|Zy;-Z7N^f;=bMRX^Sn(h`d3=Ec$ z#dgU#fQ5&-SW(w;()}>wd6e_e3SL&pC#(eIwV<{R=o^r}iRv4OwgzgdAywHcE0Sno z<~AHW@=o&-lRgd$NUpeq4$r`YRp?+IJnXtiu6USG-p`tjt6uJoD-?q;6`&ZRiXB(T zMyPy@DW(w;Ep}cOgmO%%rc`?l^@7l>2<@8C&d4)^Lh@#|>*aO*{9aHv07OGjGA7Xi zp&TJ*m~4*A7dx()lZ+9T-P%tLslHdDAuJ(Rs9OzpNgX{{)`4YhazseUyXZex52fNN z!!Xr)b%M*L5lVN)o8eteD9oQA0;=HxE~l=m5&4Rcuc9O&P%J^=L|jEt#BL8|o1%1< zR#VETw;9bgONyMRHW}q6rPw6on<#Z<-l2tPK^amB<~VPLk>buU&J<%$G1e4kO)%!I z#$m^KDCQe9SI;TWO1 zgiI+nDv~As|CJl!AL>E=dVxzx%KFh6^Y$YD4}X1c5thtR;S}LdU@8)_OAV!Xi3-I) z>_Ldt4=}r4Qmn3*-ScvqE=JXUQm`D=+^6jzcSyB#7mrAVB|C$00ac0;6U;NhMM1nQ zC{_jShC&PdwbKQQ?RX3~>IgiiAVnywv@yx`$PBvYT#x*DD$Nl{2q= z<(8g1#Uxj>t*7K4!^nT~6k~jy=6n+ud`p5WBL4!Dz9zXMA$pbkCtUG+OGZV{ax(XM z_dk}OJ~T)U?79=HmSNFwta^dpqd+lzChr{$tIw{kUthnUcE(vein#2E%Y-^Ls6!rh zNWyku#3f7xWkpm~$2DDyDs~=`7YayP1EobkmJ6!VeyZ(h%pv=ZD+sd~HA?+jsa+}a z7*&YhkR)u4qJQ4Qt~Z&RZSKh`cQMb+`-yH9E2n`%GL%b%G6^6N3*nIf6!yh3M5$ft zEf?$S7dP*J{MAqY*VX0wbbe&9VJ36XXmS_~hFh-C&<|A1Lk0U##y_&Ccz{hA4_f0s zW6Z6KI#lGl031@EUF30!oGy{wEwsD%RwvKmK* z2SWJ)Uw6#4(pgUWiIaBdK0I(999a%%hQkxX(W#NfFw#%Vw0+ybr;djw?tMjo<_1|| z?`hV2*it+wi0+5^51i~r9_|B>|0yB*xNV|6g{8k$u>Y*&_*v2M)4cs>70>UqfZAdV-os5mNiRO5!IG(AFXPV=={&-=aEseCb>11m?J-4&2T%4y~ z-m`%41t5M2N?${=H<0`#D0=}&p9RHF{h}+c;M~POb8G0@^`(HpX!?LIH}7AP@f)|>MM_t$va^9(p){0BnRwxpOzRr zN(>(+#*gCDz1W(S`tSbHN@97@mTC8r(aCN%p8QfC4L+Iq(O3)R~Sk-M3Lz6_Jp`4(nxM6&sfxMnn$@@m^HC z9}yoQ(nCOc=#w1V`6mW8!zy5h^!&J2lmmo?5UUtGDF^9Q@?Sp0Z-zwekhB|A^Z-Q< zRPuAtC@P)-QtbeDv=Ak-^Dy^g47u#Du2o`=)(QC*h$ zLBS9ZjUmbOm!X1O+zI81{H}24VwECAPDsgC2`VG>4k{wzJFd7(3gzv@r4-@J2@W~V zBDW)ZhO_TRoISl&n9?MCn=e7-SB&6Wadu+w>@TQ|j|sXHbtV-(*loCwM8O__>^{ip z13U9)kT-<*J7;prqWnAEe&yD&Jl*?{U-6&*YJ!NSsQ8-=<3oPMyV9S&)2KjXi;g;h}zg)9GY@Nb75>LO|0dawKTJlt9)^8 zD=%!7rLDGd)R(U2($iY_TJvCQ4t3^uZxJ6ZGvjq(x~km#d2xnm zO{l(t8!M?T<5`gY3}=6xrh1KijZ40U>9)}9@86tos44M(h1c64EUukfOd9N=J;R z4$@?fL#36bu`tvYmcq`KxVZukm+fOQ0;i{eQ?{SU^Rk70o+KcYg(PA?$PTfOgD333 zi84U91sJgVBx^qCsUK9N4UWND(WET=0QbM0Vl-JA;_|FK{AG$eioN^fB44J5gN#5bVm86db0avujcTR(U1 z;|$%Lj-6k(2rD*O(`)L&-VO$p5ikjX7zhJU*b5R)DB*x}cBJga8bGWU$&AUn{`uMvvHfSLIQb2-o`{Nl;47R9az{yBm+n? z0>zUMDbWNFjzLo78Y-da-7hFxPSeVV75(AZ#khn7j}h(_LcfCdui(QA^yECuoCN6& z`%zZ6U$CA~TmegZvrpBL*u%xsIwyt*F4Pa)B!*BuF6AA^E+OxuyKpEP|p7 zO1mPIuyS;pFS?tP8lcMlP6K2YP9eF1e1*u4PoP~V^dPqv;B@?~w(qp%Wi&l3QY|mL zO~a(@-%`skMKSest9)WYHLEiwHeB%ET$p$7^K>)j6x(`aE3wd zFv#orIV~@O!8TVC~tuB`eAM_%pFkOV1*=1j&bQUE}drXG|5PoIq9|_J1?r% zRokoq^jfiEwL%m|NPe4WT~)?6{q?KWytr7sSasekYG0gnfAnPX)zkTt z&1^KDmOA5TZQw8U?75z^ICPap&eFtQnp#U!b7`)xF0}Q9p}w%!=f3(ZRG$HjIoMnv ztvS}3M_MzIA_{{|V{+b}p7*9_gXy+6-n9G6Mt5GQj}yf%nra}KPPj0{E3Z z-Lt{qaxl8?O`g|=*O~5Rq`8Ib%Rp`Ft_<9@p}R41HAk+-z+LZoYF(%^Bu3NhVwsyy z^V3m&+DnYv=%^VS)I+@%(CG%6eRr{AOSFtwLj%_pKwT1Sh{2{1=?Ks^7p}2D5-RdM zI4?pAN}_Ddw#nxT_cr+GX>|5FGW!hbUi+%&uHxELTKh^HZ(-?3jx3S30jX+%oXVF_ zc?gXM*LyLeFKqT9RxfP#K~6v934;D$0Ps6ezYz}_VxTFBS~9pLPne1^Qz@=1#Z~3F ztQr^BVuA+2ZQ3x`G4ESsG@pUx(6B8E zwnZ&~{F+S4)$L%bS?A{R`OC|9)7CIg;F!;jdu)W;LbwbOha7hZqHcZ;P}Xo$H)`qQ z`XPBWfJm-Tw;+8TGE^a58PwzhinLq&9aq3cK4=t&tdvVe$YX?qHVk&hF;70~t|pz$ zjJI6?dzElAj}+peMA#EUJ+ZJSig~cG7eRdh;=|%ts+24DTC>Zm7hnD8r+@h8k6(UW ztSwxgxWf%QTpow>ZXe{7easNhnNlW8#bGH~Oa+rEXQ<2)mtT+KE{yO*;yyg#bHN6s zTg)~w_zsT9Cy)XXX;38f3uPXG)XJ6WSP}(;ub{K!G^Uy+vvW+K*cVe_S#!4PF4laB zqyvGC!Jsw(t9`gCkWj-VZKPvBn`&pAr}iDl?2k0A6O)%~_6c=9k}wDE`lFHgWM*fs+??}( zfO3isOJCyBHxcP)gyb_^^akUVkH_0eYz`oMhBGcl)b$p$d25$hmitopQR zw$9>$cIP3bS_eAWm;$5#kWsi{`rr8^1EOEc(i(D&#ra3tI*_|?2A9m zefDo-&;JB|{QKVJPt4tS%HmU7^9`~3S?k5Wtz7yG(R&0!>8Wl|FjuO+F=x=jFz-(;gQJZ6a0< zA_Ygdt;c2>Vq?xM-IbZI(sM?WX1~X5R(aJtL~;}nJ;aqqnEo_uWQ5g6Vc8>4@W8`< zV4*)S(Dw|SBcq7!)p1fj@gS;Nq}9{7au|^faoGr`7UCHyTfm|;`e4TmKgz2@V# zATh}mLrg)n1;PIrS150}VoGs^oHBWc$mi7lf^r>E&SA+o$RBt~t|0GfIfEdNB%CQC zUi=fNP;FxBO-yr(7K;d#&w0D?v3m;ntq;|ms45cmG@_p1cN$})G~=*(6jl#W)exoX zTPd`FWkX0h1SJDNMDh%|@O8Y*mgltLKB+lrRmVx$Mz7dUt4>DU&1{gEK{AG)L+TbY zx*={C;P%Kx8Rk(dBg&^bci@5v)u%(a>jEa6QO!6+i`$OpVd0Dtm0vN#c=KOyg;?D`* zEW)GeJ@MO;Qp%5O0C7mJAeZ%)kJ1Xd=zWw&q%P*g9-ko*dZmOSOcD}kEy}O=XY$yHcxX>L& z8~sqJ<0*8!#lF8Z@|MRWT98~}D9_ZjnY1}qHD|W^G*lfU)d^Ccq0L3OxxgCpNPU)U zElRyjXM8@MU9J|F7wgN5<@wocvl%bPooS=m&*oZ*OozzyvCIh1Pot$}ys}NyuM*Ac zMEeEayoPF*{>ql>T-KO)TLW*q=WTbr?Y6hk^i~?aQa#-2rN`6SdR<@5o2yZC*~=~3 zky#U%)PsYjzuWdSyY@ocm}qIjO$FSN04-6lEdn|ss4Ij!e5l3+i(D`(LUM9EuTPY{ zl`cM9q?ecJ)${b`ZG7<-?q0h~TU%y9UJo5va6u5lamkks>C7gYx_A>Wa}qeYKv=J${BP2duVRuf zFzI_(`UVxhzy;3;-s_n7eO&R6e{;tbuj>1tU|)4|?{x3`a`pqe;sh{pJz9=c!Lh3O zXi!(m`No6TcHX}^e|EEdGime-k#NLkBfPe#+a7b738xZw3Su699#S<4Yd`K7M2tg3 zHH4HsNY{ZaE!fh4^)*OU3dyn_(RW+{7KVfG!+%;fM=G+z{*y!G1J~#`4KrvphcEzWnOj-~QA8{pp);%dMr` zmvng%x6kMCS#G)Fn14(Y(M}|Ey8QG+MyE+nXtEQLfp2gre1H+f9EpTKmj$7S%^Xxn z99)5e&2_RkPNvAkR(N`-cA=)GJgA_e2xc)^w_yP|13 z8Zn1Zk|I^kh|CcayE9^6N$e>I%mh;vIFvc}r1pJ@?Lcfj7TcI&8&6>8aUCqClg@OV za9j+&n+pW@mlQPVnX7=gNW zKv(q|@-9=xVNE-nX@@uG4wi#(6Tzm*^wVbJtHt!yY~HO6pjgA7=wY>WdUBIrzR9mX z%dOrfr?0Wz^HBW>)P9LizfPY0F0uM;VE7|v<8y2Ijj8ZTpL?#&->3>Vit;mO_jz>n zvUUBs`s7vi{1rJ54xd@-SBmVJD)(4dd~Pa#X2`wJC!c7e=Q`p{M{Es|jUjq&h+i6# zPjsoL>hv>Z=0=%&tjwP&3oAwOOi{X2l%8k`*M{sfYx>%sKM$AY$?7Ow8)fU`bZr9X z=Z@sc5M7#MBWt{6CvvtRXtf#~T46xNLgmM}Y#&h_fjSzXqk-xJSpEnQKXh~VOpF5~ z>)0V>_>3IPB`5=;NkqDe$``n77M4v>*@V2oN98j_x`c#lkhcQZ3xG8ZF{dDV1`BSv zqHH=$NbVI>_xrZvvmoaZWL*F!7r_2GbaW2W&r#Ma$Y?oEa{8l^?XTTA+rc&g)t?C-;SCI zDNH@VRFklh$__ zhzJ&ha2X{jLcESkHgPFAt`j6$h*#t!E?vbaEu)kcqzEc1vWSY8QPCoHE8%iyy-133 z{i5ubInbnvBK)haD5wYUW8ju;l>qEJ14oq zUt9SbbAM~>Z;pJ;fv?f`RJ-m{$5m(tDm}P4!h4hWXp)&t@~cT=KEWpwa5(n0hmLB` zobMVlJ$<6DjSV!>kvck25)(N-lwv&*+7ZHaK2+v|1rbt`h07|UZccYyrAeT^4z5(BZFsH}X+}xU7EqLl{|4J=!j?bu6@MOA{6Bwl=Zke++zasbm8T!GkAI*O?FS9)m`j4%L?M$PXck2QT{-RQ)sb1Z zv>i>igH`7?*;^PDH@uB$WKzz7IN_xc7u;dnj*{y&OOEwi~m9coj<3n^>uTbP*G0ewD`bT^- zP2*(SJwlIL47j9#O={I~WYS~4Xiuu8Y3vM3fbYZPSjtGEMI>WGlNKOmbVZfss7Oz6 z^l_#kd8&`ov|*YmbR>1}@vNVo>VHVn-ec+xIC>^W&tmFNPV@&f{XSiP$TS?X4aa=b zsmRRYnVAd|{m@9G>5kZ{L!tb@raVaM4=0wRuI?Z$*#nplVv_x?jrJH}ep?Xz*--PJ zuWbMA%K6{UUH^UK{;wq(blBAw2haxa?_SB+QM->vmH&Xhg0+Z%uHE-FKkC!5AoC@_ zegktpgE;SC&U={iImr78;C}@O-htdV5bG658d1@klGUKGc+8gj?XrPeDer2j$w5?l15^2Je5e~Qn_-W(yX_K{o%4V+&20brS9WY z?-@3D6BvEr8UM&N`H6k{+vdSf^o_4o#kY#mXR_)WY4eS5`nLS|{nh&~Hm~3Jp1v)v zUq{9-e64F^@v*V|++2NYt$$@Iy*FfEYvVWi#I+&*#2mY_B%j(c*Y^A~Tj7PZ_{v=R zOkaJiuD?>WU+D*L?bG+3#h14JJ45xgHhW{rp4&20Uw#;EFKhFw-u79#cNHpZEzy|? zZ5x2B!HZffc85mnl`{b4NmxY-tB*j3e`WRqNVg3S>kc)fCco-9Z zlvjS*u^z4c>}`;F7Nl*1``ggb7NBn-=7d~%?I$_iammW4`*Zth8k2J;EF^YSTwog3UWbbb_1*-z?~w(IVM@$3a9AeHg>U~ zq`bAu-tBsjT(K)TAt3>y!W1M$kVLU0Uq)2Bh-!8sC%OfpqYONwhDDTWJF+{}Ql?wD zimFGTa7!{lguA7myuW4-LhN3EP3;c*INboZ7o;|5`c&j!K#sQ}xq_NdJ0tu7M6TBY zs!2LRX$bTCFuzBRAdkw^2=NA_f?SeYC{g(vtUi@;c~{UuB_zO{4{c8=kM5m0m4K>m zCB!R&qzIBLBP&J%9WLWk-u{A+&Og-5 zE{Qv>qLQ6R>?9we`kYR8m9V=;X}nYyzUycDAOB(iaY^3zVtMCZ@%MlEgD$}BgxH-R zs~cpH>QhZsn1kSHKS1yLXdT~4$4Bq@PWwUf4f3fTudrwc3dm1m1PP`n$&KO(#vkms zq8}!yOg=_5Gn@c?K!d;h|T**aW#8;bN=Splk@Y-{`|Z+*hD*XpfU2)hwjG2 z)tot-3wwQKtFFzJrJ+34mWGDXz*!!KDx+|H7VT_O!^`6AS#$Gpa`kTYL`1%g67|&OcjiUM{!S^Rvs@`PuAhJ%75G-?S!I>E0S_PD71FsId+; z&O`OHU~NlsMWD70)t8~>JlL29>SKRxQt9r7_w_)VQb89HL1BGI*?#(3DOY3RS{Sc!&NC#m!T~M)>RQh zO>AOFP0SfmBSW&QjyBZMx-Qi=<;LIeia^4 zWgvAO)wCd0Hz*r;#Y3lPXcdf%{Go|IF!TEs{>;POgxFVM#tqJUOGv(oDZhv)-eIyg zu;eu=e1-8};@r1U(HC*~cU*Cvedy-wDVd+}m>*dc$GAgK3aK-GdCVh;cqD09TTWP; zd4I1Q9oNdka=jA6<3SthP+~R}W>FJ1WzsFn21O-ERL4}EsChtgMbt7T%;Sh@h+BJM zdk3|)U|j=}RYJn7hw}@raPWd2Ng$*RpteXFt+g7<)x~_W>Xz%}NHiZt^B9uDkqi!} zQ8ib5Jo{5ff1Z)DTim{jYL0$!W3~Z7#(v zS3FdlJd_?i5+6Jg?mZOkJ&^1_kRF_QhLjnRlvd)bL^%#UHQb#K z`+w}ciRvbIBc6EUB7sO`A+zrJz3(~aIq{IGne)UVMw>?}voPpt?5=q2A@@r}$%aUU zG3Y4{BLgyX14gb%Mi#PmX_Pf4XNxP@6|1otfM)aY++hhAkvXGsYgDQUam0QS*N0+x zw;7%_2KbQU+~nJLS*A^_;?;-z|M~{|zin~ez;O4lT+AMOdyDmOll8_n^Nn5Rn<(Z3 z3~L?F+QhK8cGz3%oUKjxrP4NVq;)A{!!O+KsrDMuodk2kiF*)ZZ*+Bg*AU^O0^@H7 z!k?Zie|@3(?V0|6pBjIAr2q9?`}2wV7c z!b17lM87t)?2N3tBkSJSiW-|y6BBA;K#jCJL-p1`xiL^|4CL!W`TA73aiHEh*6o}b z_b$!oM*#MT4g1uFdv3?SVmk1FC%%Z#-b%9XQv92!@H!y5a7)ka z(o>UksTI!^+>w;t6;qmGa#c(!ipe<%H6>xB<-D9uUbLF>c1zM`2m{)r+ft7}(|mef zsg7&ietnv+E!?F;MSdx*K34SJSI@sGAATaLy~j>JWo2)erCVnGnQd~{ynKH5&Wo$3 zcayW*^5k)(bM2^JsiomZgS!!)g^mJQo=k_QM^ z5Yw`4i2kK0=gpFAdtktgO_;H1cVgO{n71dEy@?gm(W6W9y@YT#EyorN=&#gL_EL|iAMJ$%>0r` zU^R0j0AGvX9~ghuOb5Rh_!sq8Q_+#)LkFq78baN)kXlx98=$n28cswlJGE*19bMcD zex$Yf*1Z}wN(~@YkR3e{!4ea(2J?v#Up2t2f~y*_6(hEaKoka%Wi?gY3JX_<1t4jH zmgC-Kg4zd>fBw+N82K3^1RGcgRQ!H(E3$GB!MqV>!J0lPGD6m`=c3>6jqc16Ea*6)_}dvzETVUV~VBJZGg?6jVfJ^&f;Ti^3gTOLBqjcvFo zO@tCfeXnHfm(7CmIWi4IIEx8}iTzGeQ%hUZnP4zmaOHZA{KQr`vK3Fj;v6asLZw!? z+>DePiE6#rs<-;J@uYclIKDVNIX}G^&rhrU<3#fSs*Qn4Phak6D}7CMq^^wBrKu`E zQ)Vao>7FFn*iY8Asiq~7%>nS2u58T)%gA z{_gR~JBNoa=JV(CgJ+B5n}f5*hga7}k1v+Dz3F+PJG0cOqrfO)l(;W@>ow2ZV7@_j=uzldqZR77#%u$$FA17qk5r9&0##C zIjbzF!;g%_$+;|hpe!y`#Up8I%n!BL-U{1YV!H|~XP)IKG949$y-EdYBukBGsZs4^ zrmM(y=b2!J;Yu>yNnS7~ikGCB>VC1VtTtt(8at6CKoOKHuxO>laQX{b% zrG8*P<5CnI(u!4BH*)G4Ms1%`6%ndpLQP7n?UP`xSlI9vKHMW8<<`f#^9gP}+$SLG z+DX5LxdJ3#dx*C_+FQTJ6{Fxo6>go2e}hJPT`NL`jf|>WTyXMJHg?>`N`r!&Useoj zOA(+F@s)y5!fAvIBA1c@%9-wc7NlTB4UCM9T6EJZUS1uNHUo-wK+%EaSG0VphDTik z6&0tjgm48puE%}O6?Ov!uyQOenHkdiv*E^Yc>d_EljW0sZCDJXQ(!Re@`hc`mB5J0 z69(NOw=3v&KyHT{bU9sahiCOg(35GDXBVe0KK^KMaOw%=*gQQ?xG&o0@2lzeT(QUB z+ve?Ta5mT2>l?hyZQ=Hwc$X+ev-WXf1xagU+U-K0ci-&d?*nwUi9pe#v6^j^dV`|d z;Tq6#Gu{GFeGX>G!2xtMxtPf1V7WXDM}Xl=Fmg3cZz5RjB&&;R^)SsorWT^f{bZ3J z&-bI*&<-p*r z4M$$XkT-UzTbuOlZR$3Pw1dZQOKCfhV7IM8HTQROysa>8y(rqAn$R}^;wJ^h_XmQX zoymWBD*yFz|2GG+-yFcJ@;3+SUmvP}b)@;_QuEWL_CJnv|9WKjUQPHxhCrPCW~xO`G^mLhHBs$NReLkl-a>;q(xOfbs52A#(t>#e zV4m2qw+`%`1N*{(f5$<3*Fk#WBtCcI??A$xkMcaodLHK91$fW=f@ePAomceSBfbMg zw+{YefOBbKotl|PCg#k*9O;=o9jl|`woT%eRZ+7l@AMCzStvk)51VLZh}#Ks zdk`EkDI*to?4(Yd^pTU*ce1-qZWpP1V8H>a=cTpWl$wiF2dOPM=tI1Ujh;}TJ*2L>>HAncFQemLO&E96M{p>&Q#uwx%YbbdFf{|b!$mc%I5@2T9#`C> z#fmFn06=O!c|BwfI|qge#I)1BD$(@tJ03yLE9fIlth~`m!0RmRx?K+!Dv;g zF@#yg{TWn%6l6BKi_~+HI(A|UAhZBt%LZRl+K8ygdH#wkR#l70@x_WLXl*+kNv3?J zmYv=JXf-RPW}(#0;I449f)AgS&q z)ImxeWY*ohjz>83il;u=)GwI@MAM+C7gp7xrd%A1Bx7K@Y|ZxV#j&%x0PBa|>cm&> z`->fau?-bF!BRV3Yh_!FVz*Tt44b1xV|bKnA4aMNzS7)Tnpjtj9>&thP@3qAQ(a-M z%N=U63srg~Pj%#}mLk4CU*DeHEDkTrlO@!hxI3_B?)KbXo0^LwU8b+k z4h{LSu`to+#+vjSezP3(?eOhFH5v#(b|5vtcX<9u)aCCc%p<&U^B%caS1Yb~1d^V( ziO+nrw*&0oe8v@h{{tm%lTUicrav%BP!R*Q>f)B1%$$RkbS! zLXHfm30s7I9W$t7M|9k{fs?Y*a}H9;O{#jC4ZpAzkhTJnRzTeJOB#@*;gi)o(uzx1 zc5w4nM#4b)oGStzNg$;2C!D@~IMJ*$XY<3$r;CHD4$Kw7T-p6M& z7$$(?+t7ND=<(4aewGtpY1J%=m?02QI2=5OjTQ;F6|yyr@_|mjX|(Ja99W%)pz)LC zA&NLe;03X~5LO%|$deRll*I7vVSu$=?HYD}k0c-x*?0_XYlrySHt`iS`E@+?0fF)m zPk4yKJiuVq_wbwBq}^TO9tMxXV^LBH+RH~bmFSjYuOi;b^R_#R-6ep19wdLG!2BW1 z6({>YKNkOd!TZ^m`KvkaKaZsU`$YZQ6YZ~$b-!5Zf3h_G+p+n_C&2eQ$`8}*Yd7Y? zfjI{-r$+RN5xvx-4|SLWEoPy`F0}YLEDgL87FxoAj&P_WEcJwA1Mbv>J-1-5te8hO z^b-f>)`@xMLO*w5-g4reJF(AT(g3hG0Pd-Sd8Zj8FEL8CFv*NzgE3s33X zm^+oEm%Q{bGjl@Dp3-xd?EDi!@lINOu57-g?Y^aG-HL0MywVA?a8Aiz6Ejbk*&9Lb zR#mR&Ja>PN#*{-*NcPZMV!xkpb8l_O<#1az07<>SP~4cMOOB6+FBv#-+0 z1$;G=WT0XJ(vF?90Z=#0j13EW%fZ?6@NggpXQb}Qa2ry>x|X#CNOt{tEd1ZC8{m(_ zf`Omi_0qdYT%fLEG!sc8z){#IM8=4Rc }=4Y27RvF^d0{mu3Qgm{n8Y0NuhWOh_ z8LFbewGFs|2{W~zV2#b_kqOh%pi5FznzxscVsaXM!Ah#R=p8R-6ci2od?Zx?Z&4An zcA7{EV<7;UloAfpc= zP|-t9D#!znJaCcwh($JWm82lH?Iff+;$F_xkp&#SRr!$NDAX$=z=4wcuUa+=+oW^c9b=5?ro z9$nO9%E;jcv1%q(E%=HRQvuLb09&`=8+PK$Vo{_g1&;63Hc0DusNGe)=m4UPR&;@! zZy>1<7SaH_N|#K7tXYUL57Sp-ED$jfMOcVdq%n`cn8AecBRlZj-&gVf@`H(=0qgyP z&wR1|?$w@;hLopz$w+~yo7e+!JtwB;gx@<{2bK*+GD5>j=sKwI8#na}MqX|oWOwY0 zuAR|C=z`X9ATPcFl4~HP;-;6~tOnw+Dj2&Z6OVZ25l_6*7Njc#9kEcr8%tZ0HGO6P zlt=E?)Zd#yjSmd4|VCerEp>|UDyg| zK>paAIaDX6(ny~l?C>K!eyq<=^!f1?KUxz;%lomiI#DvF%GO-nRcM0wmNi+`g-Qxv zUgFLR9663X&vN8pu3&&AI=s3HR7Z|%OB1aLvMt5*6a>MVFw*1)Yh0+z0t;05TgE8C z5FzNJ$k0Q5oS=*0wNb1#g3<=JHPDs@+SUYi)FG5Qiqj-Wx-?mnq$s0Qd5|fGcydr8 zw_D8KC=_jFbHi+EoQW*b&>&!`+xK%CW==`V%PDz;D@aQx@o9+gG(fxca-X_Ik3rs* zi+$mwU%4ocLDH?8_!dNeFUa}N&*qMGd=C`3Eg^NC&sn#~_M!%2)j_YgC?$|s_7OXA z(X?ndthvSoTQ>#N!^VO~k+kunW>(V5$=diu2e06y6 z0f#y0vP9gDxX&H+fnfw9tdQI0b%UVW=kofT5ab9z*+yf2asBSc-x|!XL2rplGqYGK zzCbG7=iPG!Q;Z@?cJ`!OYqAZLYL}$Lu*?L$0WZn>4^rHaX9HUUf7+`+xN zgZ(0g@EVc)kVt$;z&yZhzk%6)h(c}d;&%6NC=3RTM`Oe!jGK#$18XbLt$kEex;xRL zFP((9!<26oSwHLxe!7(X^icSdDf8d@q@PWh|7$7!e=gPk_qpyjCx)LLnSOE%{M(7+ zpU=R*8tFf(NN!{F8;J7QL3m`uUh1)DI?S;Kv((@Y)%XK7;Xp$=)RGT%lp{TLX`mh( zsV7GAsfl!ECR|u?R{-{r9fNR%3;h(l7wV}Cbz?(6He()}aJLrH9YA~GV7}*Oe&}O; z6k>lf$^ElD|GOpOcgv#hmL-2)l6)sG`9@muaa{aiSop4=|IEX^a4a54RdX6DZlDB#Nsr6#wA%oy8-|T&s!*sG^R+^% zoR8%*@p>XTjARbM)S)4{kS1ol#FUnp;1eTi=8#jo5La&%?K|D@g?aI=dh}G>xn$Ru zl=2BSf3};xprkH^sViOXN#gXA={LUr^hf`G@mD`O_{R5p@BUfl;sf{a+E_oZ56`?u zkNwBjK&_+lhb4N0TqaU;NP5bSnY3jmY&!58R`R-$zHVY}I@zcIhX}DqMiNGd+7e(l z^t^44b}wbe)jjlSP%sY(hkj1mM{jzmZ7;R!qjY`r4#a6gf>uD(42c_2aV;V$hXsWo zzZ4W!!_r1no_7nwdYV&+@(A~$GE7c|tLtz*6Ltn*XBN!Zgc%wzZ56sKL1%cVj0BTa z4O17MbAa=xmHl&BqLnmBERfwaKJ=?M_L;k#IA$XMGTji5Xqi|*k4}aUixDF{cFP@a|okLVAZ7pk%wLw1#ts6e&{9+ z-K0K9?m5XF2a;BsK-@)0G=ca-H>c}h!d%g{ty-Ira~NvVMXiCflABiW&}tyNix@G9 z#xBXkB^`r`s>hu0dA)(SJyJ9#+Pd7xUK{!Q31rQQQncD>kLL%=ldFr%7dKB{JbrX{d2w@c0_*nl?Ah7H?aA5Wqvh4& z;C8uu`~3XFM~`kUuV<%MrNhho;d$=pG`ld2Blvt_QV=`(Zc$dH_=98!JZEZvJ@FW^lnls1ad z#>mzz8>|X^O`)%ej86q?93amyBxu^`OX;F?U6i4RFG6IkkDzf9)GmVBM^pz%niy4^ zrt6AyO`fL6P^AgFG|H9+`7+38j)jAzR;fFzw5FBHK_xd#LN%{GW8`PF%&d}{l@YoI z;)#p+JVLq)FrNB&H=yJZD7bX7&s_8?kop89KXVgb`0lylWj{#6^FWTLHsx)K51C5deBkTIn0=v5p~5U$vL?h8>{H#);z+7mtXVH%5H4g zgRc3=tpK|fQ0u8%Ag#rW}rmW?e;qi0hclCwZ#LTm>_Mq3|_t<RN_)^XA;vSNp!L2=X=p#~?> z5Lo-Wc+uK6@3n35n_K%2wl!;5(+QQuW&+)1Dr{IBW!)nQGB94NA6L zND(k_EYc2}vc{pm&SSqSk-Vu;uW8LY1{cm8pqU~}Rgfx%hyn;N3KJv=q9{(_1TZvk zhicuS>(ER&fhNG<80*`FSGTZV+`)edMR)^)dw@kh!0tZ4>^($bHg@q_ySPmhW*z>L zPh59!c8dF$rX1UrVLD>;T!XuEkY0o+pB6a(y(j(GBh9}aD1SVa{_{}yA5+OM59R;Y zndX0;>V9)-_~nV|=cmB`Jazv2ndb)+)1Nft@1;2}!t`fu(qott%-C}y=0uM^)?=4? z+>suCXn;jHFc1!n#Ct7Ggkv+|#DYJw;xBBtD?9Fy6L;gn-GcaA5ckv#3;)!)s^qkj z?i`dCF4{XF<2^6q1Bm{WAmigG^BYOlx6IPWTRi0NifEoSSU*?ePLyc&CH&O)id)3fM{gjA2^j=m!<{k%1&Jx z(1c8?7+}nRuChN=f`WOsFXM2hUH+sy9{1&fzC7s5S-m;EFRSon#J;pVSk}hdru5iZ zJ@of4;s-Z@=@mFSv-XeF^@T7$VI+p!*hCbWDdJ0L@=oKOKRy2LKb-u$R+0*3lqv&i2=F57}BUdUFLXL`o*ATXJ_zfd=-Hcl|lQ%4kEh}pq zVD8xIyH?7cmbfFuZSPZdZDL&5M9I6Db;OX0--jbF$f!EVRR^izB(*`L7qaQ1H(bn` zn_cyBD}H|2&ntR41vjhg7K?}nti3HfeGz1K0IW>yT$6%!L? zWWaRP*vdXOBgCfn@kt#qVI>uvjFy)>4T{G;ID)YI4me)ZIv}m>p|!n?mXFnfdB(?S zBPEv{BoKq_A;{`GX{%xeT+@oJo6)dZz$y=N-kB!)Fdttg@4PI(>YJnVO+`E19hh83Xg0V92?7NtK7XyAJ_Zq;o zmro{Tlq4%6H zK9L44_|Hokg5;r_GIUc%$S{=EJQQTq8hs2Qn)n&%{^#cvKb!^FvmpC}qu+5wKg1q{ zS;PAp(I9Q?r%WKy#J7@{Job`DUdqrzoj}Zakb4*r%mUo8mxYvzxZuAqbpV5$8|hSP z`PelNqXbg(PDk8JE!4!qiy&yK%#4lcu_-$;=LhC|-;n8Rl08+tuZ#_pv7stH(x%47?8H)-T4AmzE`Y*; zIdcGS4Rnc_E;-hvhN@&=7Vit9eL=V*4%Vem*$}CEbKPun+8iE^=clK~R~M&Om#0@( zrP+esc2m+35$DXV<4^gTvFz^dvPuP9H2Y%cJ0M>ZtX! zsfH%iR;T-_%w#_~k;Es0$V3>Oiehs~d?ATVB(b3++LOn}n&e!cUh30_`qY6gJy#_r zvglA8?n`0=X>ue>jUEw@XRPC8qU#7o{_&gM(%T(Nz7 zlxI)T?0KTSgve1M*o!!87Hvvl&1teN&vaF|?iwGg3SCu!y~H(VS^5NB6QydSWNn0~ zi{SK8v>}SphfrD{O6}TJxwe$v4Y_|y5!q8DampM)ktOY?DAG7p5~fM~G>KcN32N;b zXRsEC)ROT^F;OanB6+txYfFV8Cq;2ToxrjoI)7p=RMI|&1(4B*R7T-k%G2g#$X{G{o= z?#Guk-#80&V%oZ2QU+N?2es;CH9=(VVZ#mI^e9yix$33YeC#U3E&JF-5A$=C;CrBp zQ+4o504MW%=M|;At=37l7Q^1vlm7Md-o;Jt^tv-yHfy75qLB}z;vP@Hp@+F5~JjGJi{JOgJH?`2%Lvoq*vFmU)aFDx`}yh z8~p|f{Q!enLu1zVu{G+MyA4j?$PqjZe(EjRJ^Xn7cZ_W(AIXC_K-1f_J*U!&7{H$b z_%l2H!a=xl5+1vVHz4`OO?v8qMZR-W?mX1DJk+$al3;$CV11h8e465Zn&N#U#s4(P|9V3BXCA34M`yJ%z+cCEsOQBcys5|{PLno(cU>v9@pQYlZV zRcW0eZL}m!K+IwbTkMd<4qEIsi_PWmdcEO5D4ojJ%bjue@U(GoTwW}*^P@m#Xw5g| z(Y!QR5&Ieb)FbD(pbQE>gG2pZK|O z9GpOi|2C2kLA2^6L24}opA~ZohhE{(!yACSzKb((u?J38-@&|B&rTZv#DN9dGow1D zy_RviW!h<*Q7~q}u+g*QyLRM7b{tfgD|&92c0{v~d>&OU;_5|GGl|N30dW(_)UXk! zN*k#Q5Ia^v+l+6S@J%DGp~uyA*t!n4625N0H%$asEfW#OkCvI(Fca#gRgvea7^4i| zMU9w}5xWu&RvB6GWfLsIO8BzzcPbfhpI;*#vL<59OscQI2LA1^T4sFPLTFovZ7Z<@ zz+6Y_*vW`i9_HOu(2uu0zsrL_?5Usq!6E)-9^~&|??gDgC}$91k0Y#UgfR`R=0^mm zb3bL~C(rzpd5|^_G7iG5!zgDN=P$zWGcZ;RLxHISW{;tt-VbovAwkW@D!M3H_`~UB zPQ0Qczj7SVw}U`2=ne#9#y~+9Zke+af8!)Gx~$Dl`^N`^<5_Alvo$A*;#h^0E5PA+ ztV8U$C&t`Zn;xo@J!PV&jKgbRl^keN16_J(%uTGtxvhF=D<7J&Qw@w9k-j?C(644IC)a1!k54aePcNRI zUA#Cyf9LG%owJkoPLIxy4%@SX=-?nWUL@v=^wAg3zV>SL>PMk zW6R_01(Kskcb3?W63<=~0!5)E$1|ij+BicUrD!4qO$4orY#JgDjL|m@!G}8EhT8Q| z>H5;X=Z_`O7p0*$C9zFuYEPQRNfTsgoFoYnL|&}ON!a&MG*N~*C$<%Ju8PxJ_q)?^ zr!QwSmCTZ=j?z$WObk2c4$K`yx`DV?e%U#szw{{|c_lX<-i?oS1JQ2%*|DD||gD9ycP>ysMvpKR@Dz zhhB3L8crHws_EpmkW)=|-NUMQ*d-6A;Nj#!cFx7jIT<+zBkQ2&?TnJ0Rkd@MvV z-wy;Jd&uXCc)dXo^f??Z0LW%Dlf%Wcue?7wyGWM$CVNVzbg?)J0*>~QD=26RZHL0x zq_Wm1?1vQ2n`GXbbjdbLiR0)f1UYt7xb-FWn-2sJH>GR4iVduKi>Te9>i5XXU6OR0 zB;2A4Ho5!_34cQ)*|jRL4h3GvM@gt#9Q+1@ut_0q!OzbU?h4f?g#~MHk?ekkBgoWy zDEoFiA3(Dmdo*yH>e^yDwz$9+-?Ae#?THL%u5yu znjg#^f4^}3A9L^@rtW{5JO1s^^3$d67bp7PoEv_7Y5dO%;5X;4U!6lgp4)!V)BR~x z`f-}~Zis&CB0O^7E&WV8kBV-6EZ-fjw7Yu_!Sc8D59}vQT0b>UI z_%z6y2YFLJcLH(7KE(TCw6gacuO^?aIzd+LA&_{4poL%v@`f(%z{wdn*nL=bR^LV& zScyXmwr|?&7`7X_ji!FHZQAWx(Om%Bg}DN8pLod?eGhjWkSwCA!=&~oV_4=*vy^5K z*>Cy2Xb1I(*AOXq$)~3#n(N^a1L?M(Y8T z4nT$@e#3&VA^xA(mEa2mCw>ne{y!?}@kJf3pvC1i*t`alQ)A$Db&V}*aU~tTtix9{ zxQZH6Rby%zY)y+$O-+wOMtB(Ub;Lh}P&X4AR$>!CT)rc9@bmc~NK>$n{odl`dBwl{ z{cEiV2S$s2ls$~HClS^x!aN8w7BE@_Df0kn5uzSO=*t*u8D}r!++~7y5M|GT^s$dJ zfhbcLJObo#h%t!pIx%tG&ndYmc^D}{=FBfXiD*VqYc1+c#-grhUKwo)<6~?2C_cDs z96lKwUo6g-v$I8JI`o5)jRRbs43O?8=>E<4ktN6KVhk?1Ouh*ZfQVx67p z>oP-gab~L>0@VXUcC3na6ycUK(pJa1npj^G9cm(Db!epY_vOBh%HJ`Bd)D~Cof(IV z^K|{F+B@q_ujj|N%afbalgF2**N@Mx?#{2@xx9Y+{QRwxSdh&yavI21bjKEIyVXTyek;9dUyrRyiy70 z6Hwd(`i%~s)D~p`SprbP*@{?LFj_cESg?!-%Oq!s>L@bo1vZf9TXK9;hNn+)Gzq3A zM$yD@+USlRCW`16jL|O`La*t3YZ~x@3jC77^T%@NmHps@{pgk~u_sGlWig^Gf|vR+ zV)w4dwj}}AWPvvo@jXqJW-N(;hQXHe+QTV_vuNFK7|31C!-Z+<(vG?Fl5Zg1Wk7in zv|I+XPoVv0KEX3T=PBZ}NxAS)4{fx6{p(lnKXO6GYeLMLnY9*_twq&aDZ_5giYYkp zMK7rqW{>jb({}37sBzLv&I|5gLf;FEIzDO(#H|cum|X|AI4x_+0gK`~TlmIBR@?(&3NBL2p{U_&k3)bKZDj12*4orPOx z5Vxr09U60wBSwidn0+%=Z6_E(vdK-=x+n?JIh~8N^q#tc{Qe zmzUrg66{EdKGdMkESN`b?AuY+$3^*{wXNSDd;iB_>?h~>pPt2kcIy4viS-w!reB>I zesiJw^||R+=k{NoyMMf}{;;q8^SbQoS^j%r`cshb*nzvUVJ@uba{zO0$DTXzrw-h) z9lNw+4s9@CU=FO9d#E_J;ZN+iQ#=0r{>Z{XxONhsfFu|#o_eXzA=(Q+{hc85y%6Jr zF!Re1c%^?3rhO2meh{L3IYj<2O!*3OYVkQ&Fk!U#G|B!(iu27R_git{x1y3iiAlem zkbEa4`A%B=Cu#9F)1q&rC7)(wpJe1;OUpk@?7ttAy%Uwbh)ADDB+o+Pn}GN+1WR@U zDQ+RnBd_Yhy?^4AEbZb$n`i+D=YVJmh$mLbz#{ILL`|cpZkARp`xQXh@R&Lw*B}+> zWkT(2q?wQ9WBw@Q@;WUpz-~8#fD!UT>2$VP@60C0mlt<$-+lFKFTVEGcRu>?ov*xm zb8~TeFqk%Tjkr5)SB6w*w zen&ACE@dN?e5_iC)$);AE?CP#wT!2ha@3MQEpD#H^wo&A5>l4~%8Fl6^~>vidBZEN zIk`0}tzo10K=v5ow_NP3i5yg*A?dDPyyX{eq@~+UHF{yf9~kj-J$9-^_cfS?3R_a( zvKnH_K#o~x1qZwB;lo&h)IWIHU69uGFgp;t9pE-0Ufs*9Ap_F|1CMCx70;v!<61o;b$AoVi@hw;e_yXaIwi!W-u9e({p~6aP zBbFBgge%M|s4!vgJup|oSIw{xpRV5%sbV5ljD)g*P=WzNkAoTGcS4dWFjwFzT3i(- zik0dxSLhM0s2X0XX2ey0&xbQqb$s4uip(ipoi3M{7g0E=21?v>`+r z`;bD5k&iU;5+*P?1ZhZ}MwGpXau+fFEDX~ZYv`ko5VJ2D{M~Vw*@xjI%IgG}Z4b5M zBn=_GJw2%}&zsBB_VKcQbPyd)t<9mL)K}() zs`OZ$oM_S$O=haeOw=$}r22|vPl=pbbUzo27KYr|Qkq+ebA4u{igjVMfQ4{Hysu4; zbg7vxIaSAoif~UA?rNhweY|H$4xE{huP_Z)7wPu0G&pZfuZ9PY4-mk(Jw3U-IJr4H zx;mbp9*hs0{Y9*EU~4WM-9yjtC@@{Ry9;Y+qD%C3$$>sSGGxZu)L4-iuef3=ip*iO z5Je~Acu$;Y%91Tbx}(Z;RhfY*Ggf6LFo7tdeR&w>ih(LIQl-Yq)KH%6DUuyyy5r1t zgZW;rIBZuYqsp{f=r_`>QoI_E7JQ+!J&-i}Gdf>U;VFv2JlC0JIx;k8mh8$AU3sE2 zPecs03N(9>X)Cd;MW!jo&}V4+G{ul6n$l=fYQq@+k|FxKKD?>(V>CXB0pi+1GEZD_ zFLz92k1$L@oYsd?doXGjM&;O3gIhY^x<0gJjPIG#IBT9`O{gqEhs6~&D=Q}Y*toR> zP}eR3d~bgm6h01XE~B22v+x%0K<(7wv)LBd_4!N=iqih zUdPLC`uG(uzu@6z-JBeA8beM~5atS)DIhNdxqJ{1gzQlWOhLYw8w@xc zZi^+IjP)knix=02kFWbj7nS~LAYRiMye#I+`5-(VnaM&^=<9gOt9Z&6anwJ?QU8d< zeuFOBVaoB;eLQg=i<4t;ianfi2d~~DX|^f4ZKi&gqsQ=#1d)LxRAK~@9RY7$$ax@Q zz9yu-$|Jqb#=XhJuEAVEr|vP>7_I~((qLsKtlWZAS#cVGpth0K4w}qPVOz08<2F{e zj?-@7HJfDZF3X4&T1WyDiKa&5BwKs@^&QUo7JFldy@g@#5V?CKKAI>(6D3%jUTUfQsi zcHE@{e+d%LU4%0i;naygcHocg_@xaN;n+?%v9GwohC8!i&uzF18}8DEd*mcMK~f=< zJBa!sKz}#Hd@sWMa+LLz80*6r6H%1@VU+fjDD^8*+E=5rk7BEANSyKY1hTHg{1`@~ z5cg|-!AAknCt>lYQRz40(yzxQpTtEUC&VA8Bp;=vALrzsy`PWxd>^-gpjNuWT&$6mpeTX^mg96R`jcHYFw z?VC7FJ*Q#h)lH(RMN$U#OEzWEq0U&939}+Qsuav`;Vz69* zYFT$XX&*$*gP^ACm9!n4)pT-J-_5Su=ovjJB*z3KdjZjIP_UDgpxR2@fq{HzATG4n zsd{gq-fgS)YARF--XQBp83U~husR?d=!Js-zw75TAx0~}ZHGjihzx1w@(SxNULWL7 zJ^Vu-{|MqP1DwMkYYfrbUTV!vY9Z4wSLuEv<4+rVXcO;BKHAhrpF;3Tn?m%dpFZ<5 zk&eg^YaT?B{;;NqPZWD)LCG3GoF2sQK!UDM(1Qi>`;c(p7Y&2raY!0J+_ z<6*VkoR*u{g~a2qVjkBml7_>K@d)7x{V=L%2gJyzH8;KQBqC_xAPwx~0YK^lq@I=7 zg+anhfT5xTLxqXhG7;|40w#)l_Zw%DCx>8e{>uHhw`&0wd1)`A(R%)P3_V2ku5$`Bs z9eJ#+jCZx^fiX9MrArOf@h(ghE2!vcl6`%4Vk{mQiVJOag3Kd}_f(0VD%R1&yD(iC zlYMJu=qgO0@;uQ#DNi2vmM@0KZx4^2j}Gp7)5op;d9AffG!Mc0k+ybZXdPR-C(hBS zrFp2$PxoW+iy3LNQ$z7Uo1H6?Q)z4@fpH=_l|<+JFwA7fy8J+&?;8;Hbh*9;MvK%? znHZ>IeO08Zi1qfPJz1|Ybj_Qt_><*Otl|$BZBSP0PD-6|o-4s{r6|rc(V4|MayUnU=qQsNRjR#8v6d;O z0wPO+0u=Gq+>R;rKp)%CMX=f+T^mpUVP7a&F6L{MY@wV?6{F5XK;-kFt&Tmj17mg) z%ucKY+ygvYHs2Z$c*7cb#S+^#g=q%AOy>p-nxdJ#u%gbKxF;UUTR|qgk9!(3+$3GM zG2?AW{wyGP9^$@;a9%{1CoXDNNBYOV_`>~1E(N`zr0%!`sF(s1*P@cfy$paVdnnBa zXP8kO)!dJUg_~*Xq!AxwY|W6o4c~W?dR7Ze$mU%d$0fhl$zGbK*s7~?p$<9zdl z+*`F(ySMKCu>Zk5r$=^j>u%Mno;rQ{G)Oho&+9z!d8b?Xa3=0_dUZ0FP6m2~$!s+n zEoQCRtN^^iV=)A+7O%-@*XfK(Rlw&i)(WdfgLywOGe7)m&XU7jFI z=NJk&TY+K-Ayn2hiFA^HeFlek3=4e(3wZ)N|15UlBnCc?MonV~a|Fg5MKDK~%rPZ% zOOiQ`bb%{}^OR_o0*MpPFYw2wIU_UN(OK>|R4|1RFHjVVWceai41oh`!I_?8P0i3J z=jc;V#x#OCgItlJl$0(*L-&``<2i{{2kiFI(2{HZ|XFh`(9qe7hn1Zd3Z*w(5(4cn1m<8FHKhd#og4`^|>eb_@U=Fp1< zxZ_3N_5P?67(g)Yc+hv;=tC#wrWJS1M7Uw59NHLnUF^GV_8m9twwrP2p&$C_w*$0$ zVdhH-&aX0pU*|+`6eVw!WN(&bZ;UNd~8a9PYH=BAvwpV zl(^I?n^xh`D?&z9!fNaI1G{uPpgxl@T`D-Q*L>H?&gTl2OKI(XV0qO-YpKx{DKsaX zO7q4t{IRTXEG3-qa%PMSh=R5#rK3bloK_*oWa4`VXU^Zaxq5KExVn|@trga{sylm) zy;H5dz3$#_dwab)Xy;p{Y(1B)WwMo2u@I@Jz1^s_8_=}e;)ab=voLFBdeuzLX^Bx8 z)+0bV*)ThO-bR`Z(&q9UXm1(O6T&+Dxh8kA#+@kfCvt*`v|u(VfW-u;vj*s~VcmjXx8c_8*i}2aX+ahZi)k&apkJ&S zkWFxO0sz#B7N`?H0!Rg_V?}js=&l{pb6|TvmR|t3DuA^Y+F;=YY|Tn2Sx7|-1yqaS z>Wiw4RT&8)T?D5a0`g zq3!DVyk@Ql*oA3v7`}!B$B}H5s)bZG5sC&}#f+=j@C_%v=D=3$=#m}Tv>^vp_$eK&RD$Juqjt?RO`NWH!@g_t@ab^-Nbr3(C<0gtH#R!8*?m+~ZdOodCVUT?AUbueuzp0|@;!fv*A@#Sq|(IM$Y?`_fEb zl(vqjhau-;x0>@nhULp?EbjcNWc|Xy+oa$Xkb}l8F7b4X&{``(B zwPr}JN|LKfsWonPU0B$VR<;1gU`N_CPi-mCU(4BdzD^GFf=)QtD)-dH){MF4w zb*ot0u2!~k*_Bwl;SX0_(TXKewI(WoSRozBW&%l{D`K$tBnJ1A-c8WDks2>l5G+ zn!#qn?af-)UfqOFF{V+?X|)KQaZzuA8ccIW(@CxQF_rZvGW!!E%e26RK6~zZ90!F zV`q%Cc`tCEC7c_2#dO+?s`zN#glMy1J>5*4?G)B>?rK1mwJ{1-K=`p$GYZ@erXy5= zn;IjzY9*I#7VX>Pbl*DWxN(^u&}7pHgGe|39zrTBv@XJQxp#3#~|H z5UF&d)n>BNER@={e76|OC){qILGIGY9R`ifWU`tK7PH!HmIGelwHiV;tIuq5==CPG z+UIp;ikbFiZ~fr({*{{-4u9QQKOc%!6bjpsSKx39Xv`D>IRaaJ3cC0N6#h75@i7GE z7@9PRr$f-xIXGo{fiy8sIXOo=Hph4xx^xV|J%JI7lEgC%IgG790$xF8&JalB1l$P% z`WYhPNfP2X88J>mOaWd2ho6KXMi8V??9v2DIL(yI^As??0?racD7<+bduEX}KFc^c z%^U%wVnHwk6U`t+vl#IlPP%|sK=EogUIoV}AV|qPa2^FtzD(nm=Lmp!=rA}L9J(|y zfqM#yd4@_Dlal7F^qDAotja&u5I$2EK2=|Sa!oyRU?bfON#Ch?zuBw(&%-nS-_JwrT?<8`D#PY)#F!2~%lEbMFNw^egH z>iHeb!nOvS(Rxj+R!7U+snuSw3Kq{c%(oGZMf)#by zfqBl2yWu6=@)HjO#M=P^h#!C3kGt*1-u7ee`my(Z#D~4>!vdyp+l{{E!rZXqu2~5; z?36q1r5F5y7XrfP{k*$=&K)1~mXCVVLp<~o?}aHZ#p$mkmtISAU(X0$&jRpY&v4(& zao;I$-Y;=JsBnK%;eAx$eOP3_mu0@0q`eUzuG5H6e-)v>8essu6lC1<(GT79>n{3L z2koMjcFsyaurN-U8GB~tu8Fm6WbNsf_O{LeN-lbZ2lk~s6J<+_TUVn73V2@z>B}K~1*9v7RwS_W@?vZm85Lv0GE&;a z?I?6)|&m*MsKyz88o{6YQLQy z)KjaK*lH=XR`9LmJgZsPAnk0&tYx1*ZBqtS92*C##!XpCQxWEDMX*ri&sKO-WzJZU zGoIs3WcX7_-dv0a5Ao0mDL$_u)h*Pr37y=Y9#@^a7l|Ts?aqpwqwMt znDKoxrfWuaOz=9;0cqw7s@akjS~eh$syu=D<7RB#f@?g8Ajbi;fSX(gzT?DqT!bz- zv`+c~a?effx=0--vF#)_ox}zR3847{Eho9{BzIhtuA2f}+;frpfKfPzJv+W@#dfWj zo*D28WY4(RH!b#!i(Mn42_}VMhV{L{N(ra7K3e`Umz2&VWm75TTvh|g>*0AFGN;4lbcBosn^K|U3S>%+%<7PNBO+%&PRv@X|^v;_k{5lU>EE_h3PBN+y$nm!~tFsY)GR$b!y#I*tHf<*-ED! zr8Bm|zA3YIobvMhaYTlec+mq zAq`QeA&WHBiKaHy&}Zt#Ttk;`sFF>2yeW${W#NVd`2PMX$6IE2iZoA=;wezQMP8^1 zTwq9b?5VCV*$u`!o^Zn!C>wo6ZK$k_R<-eJAYLiOOZ8YG70h@&3B5fmF#3pU=c3X9 zR>4yHC)J?|b!0*vn^eVTm9Ygy3@VSp6cLyr1d#>irM_v2dwSVDE%Z$DycA{7>WbGh znQkdnuS7~Uzdhrm`Yg{HbSL!2IfDgjbP~*NqQy(J`5}7mF@^iTE<2C$&2X-6iLJ1R zxH%OG%>J;V4#2?*;zcj}azJ_|Yyj*6@QTxR(m5ybvWs}dh3_d4VfyU*zkK-UPcH2} zE+fpD7*H=4?h`Hqq%&dFOx})bg}LiF^oQaw@Q}ZTrUQfttae!Jx#s64e5wOui zenli6h!z^rQZHO;go@=vu?BcWqr6g1mJ=SYS1)&JWe&Z{W;9q$I*UnVG0Pnm73dXq zz$?s71Gse4?Xt(x(L$%v-`hF;+~JLv-&;R*Et&7>je!U2Hj#i-j3I!oAMxxW;u-iN zz|$zqNgQ#8M1`UVGYgo}sl{if&`(a`9-AgUGEaK~&UyyL8zC-FGGq|80znr*NX%Ir zX_7z~BVk7NL7{h^Ga^dNA6vYfD=@y8}S-fPDq@1Ih zP;57uYC^+>lVilk=WtIEi6@uIvqr{rkbSbuf2P8JqQrZ&!2NkoF@DBII*cjbZw0?U zX#KC}FZ@3@*Z;2zg}?52zS+?KaUlAn!}#MG@4H>uza8kl*-?DHD*j!Y|LYv>P5^V! z3^_2)?`!9_l(XBa*)7%lmU4bm3E5P_Hk9yn1?-3o6>L)t+tR{zG%#>kg$4o`#Th;D zTG$ZyIWyv-4SmIlz2?E+1f(KJx*a6n4wCK!iFbm8J3;*I0PaozcMk;r1Gu|>+#Mh0 z(1X6^#$0#et~m)e-PC&l?#ofh%Teh|5zz}_;oacUO)t0<el zG3IM==C9+7*8p>flV4BZ-$M)gAm1<3@0V!zi`3ue0ciINjQe@UABsz#l)0Z( zc%M~-pO%+DDT_ZYOMYLHepHZtkdwTV5xC@|bXEwJ_ZEWtXZtSdVZ3BPfE2nn{XSN5YH&;%r^|yPim1?P(%_N)_ z%Q91lo>XGToV1A~cQOmO1a~aMKAB;UrMZ(S?sSa15aurWxR{ujkW-WEW?ET?1A4c# zbY@uL3R2g>YFbzY+_nkawj-McOvi+88PRneyrx;Gs%C1+$(mxUqMj>(1wZj6Grnvg z0935Rs*PB+lWKNi-2r$4x#=ReJ><5R((zGye%cUv&(G-j0O(yWt?Q+BfqPybq3^># zz>DvBj%NAsUEs&cMd-PPwX6Z7uwgq^Oxuj^n9*G`s%rw(qHjj6fR2G~88CIQWEP+n zD6qf7v(kGcud02h&Bhr3yc4GX2?VD#Nf>jB0sqdk6?4*Wy z=oMfY&!fs157eTnMpRS?;Qs`mq<|HNYbpu~u*fGM6$KTvpoW2|9BL@Q&?{zB;#t5h zvaeCJAc7*GM}P*!kcbQt2cD8c5>i-Ff+#8xP2FPOjBI$Ag{Ul%wfIXRYqel(b$o-h z%+5}2|8#b9C)(fiG}lbkb$Mw+R9M%P29`?CS?$@XtES49zPzK!Zz|KPfL(wj0Q$06 zPa5k=qW~RAv?C6;0nGsHLJ+6|-8A1{1&)C}T^eo6VjXd;DTvmVlTBH^udZyU%InhH ziZIdUL>i1hh3p2p@-ow3=Y(3^P=_1r@`61KW+cRA5njIFE9JcGG9sUE@@mvrL!P& z=ESa?&{yP#s?uoPpJ+7Gjn#Cco~WcFMYk_4GY3fuJ4|Yxm)oaRo^iErMCm`S@Sjiw zCl$eYWf-CeEy(=y68F5=wIFdV$XwH6&xpYP1SdEziHgk0XgHHir8BvBx)L^|eOSNi zQIq9qqkYcoCRqYZTZHRK3f)9PCWa-D+nzK+)bEz`^BFh{mB)>C)AV$3lr|)B7wgmz$>Df znX-#CNQ(C>mV>7MTo>?)^ja3UC*r3q#Jq)2vf!)0eGTCMNBM&ma@9eqI7tNuC1aDcRcE zIJj}=`8R*Jf9YPaxn*^wj=W-FVFU_20f!$)AdZ170vyMn$MN`CA_PtL-QkIp?l z2K~i2;^&jthvvzTE;66Sa7T#3NxEc?C52MB^ElcxiZF@8j}viYRNNSyFvB83=mZE7 zesXf=u@h4dO)fsRKzatv8DmHxVm(%(!&10&5cIKe$P*KbPfenqohFXVvnJu9dAN9P zfj=?JIsxI2;WZGJ8^`q%m%Lb}3rVv;$=Vsbbd02&W>^qhKbdAlFN&we$WP4Rp2QMH z*u-fKb<)Q=S>!!i;ysb){35gTP+K;7+D^QkP`uv`e0RG3KX0G@@7D%@KbQM{+w=9B z{_~#bevAI)0Q8FgIIsVHU;U>|`6qqR+ePN{VcaDf^qgt_ln#)JnJwkargC;eF}I;u z*ib+>F;sxvCc?$xNigVy32IU;0UjRu0Ixti=Y-#IFCO|3_x$LWf`nH?lwXAb$gf3+uSGDgMc}VR z=HE`hKFp#&E)qW}kv}U_J}*cf&wDG*j-_=y&amdoJelZq{8F^Ny2#=%n3rkgq!k*PX#x}rGs;4_fGAvZ*Fz_rAXK*7YHyj za_pFmHXh?mr1;}$-dL75n&C~PdDAK0e2fPV^3Yx$Au6TjbxRGqpaQPezyWu`MFq5~ zf;IuQ&_JsiXjucR>XE?BejRWI1FED2`p~(uVyY$|Z^%Zg%9)}To-<(bMl4_#MKkcT zKqy;@6&nfoHK;ksbr+@SrnbD)wvX2K(>no1H^}S;Slz%9K*tZj>iQWg0qR!1vT+ zY5?F~SHLJxjiWglGjKhoWyZF_t(U}(jof$ARz0lE0B0-6-45|~!u+iud)?0%cqm;5 z0k|HNiX#k&+L2m-Ww^loG8Hx0zn6fHez@7Qs2a+E8U`|q3{YL;aFTS5#vusxpPtOd}K(7I}_wh`uSr);Y3(G9hJ>R zq>!)}9ugt_!bJ}c>f|hV_;WtdY!JBL6wOD4us9!)lOii>RMUhldbr7`Hkk9d$|*~; zYU~Yy8(W3FQ>`-xxsCl$XWL%c&=faBxpjVaT~%DSRoA?Ybyt1MR^K(%_VlG~O@2d_ zSyQElq*j&5fdU}00-#K+$m4xUq&?h)S{vF$Z8_8cj6#)KQKtHmcuNqiE+-m_!iv7W zt*dVq9qL1dA^D;P#1@qvS>#hZ7HHnWwfr0)K%e{I#e?z zoAyH6Q|q~^eS2laS{j&geO;=nj<+SzCO=$X3f35bD%D>h19ssl(p)))Bg3+$+2$12 zl;oJxY-?u8o@2O+z_;av>#kU%mTIl0n~h{67q9t)d4)AZR@&eaBSdbSRl6rO-chyp zxY9eK^i8V#3#uSg>0gk#=a%jB%QlF_4wpG+B%Wsk{-3hL$ChIxZ9?ZtJ3}c?BJR&c z6p0|h=X=EBdfMz+um-5M2*;5Ux$;U+m0`-yNn?*Ld1shL7E@|wE+xgZu8w%lg+1rS zAGnEUJd_JQ&efpoMnr!(AUSZeb{+ULPQpbO;j)8J6~Zj&@i*>0bo3`zkDt&pAT}1l z%|ZKwuz++nrk$;NX&YJ9*{0`QJ9NIAIB3NOX=BO5PMUC8Gp;zS#aA^G9|RoR0IwjH zorHpe40?r~p0hEFHdfijsybM87pvi9)@^j)%CerAQDJ}jgIC0zONpQ=l?H7ViXU&1AKI0?&;CVhmTJ`G>v{@kvT#X&9GH)sTnUd;28oaf-pL}`0Nbw z*fi?cG;U;;JU-8yUSLhn(#EGrCuXQ4Q0^pBHiuCy;M5SJ27;H*padu3jHltOV<_PS zRslhX=jU1D`?rFc>QvY#P@nMzw%LMtF3vtN` zJuuAgX=Zj*vs<870L*X5A%ItG$l)Lg__k_sSBu=&qfQ%VASp`Z9dg!yVx_*zE%>x|^}tn`&6|AjF9(1*R{K^=Ngx4p>c{g{^m zpjW&WroIuSz7?mw9VfgML%kV;y_-OMn8ANkpxiIgJ}%NeDbYVI(LXEEzbG@ltT4W+ zGQX}ZeN$(D+u(lJb!5b;wuM*r}#@H`MSTBcJ zuY_2ygxRk|`LD*8e;F6ujfidrh1Y`1*TdrLQR$7C{ANORE2X)a*4@bHuV)O`^OhS$ z=gq3`W-WNF7P?vsU93mWHsbru)P5^{s+B(7N*%P*=eoIz{o;jA;aoF+P|L1FoLQZ~ z#X|U(7E=6$ssz%MLE3UiR{?FyVRZ?tB7$cn*tm=uP;gRadBtz;rvvS{s}ZtPyxN*a z(Qu1eE?(Wqs@Q2o8>!@=lwGv48@Np%WsP9LuDl9XRxH%ya~1h)Nj_Up%odgNB{c+) zkP2{{4|K#PRNaDUfQ$X`EeEmXBDLIoSFBogp_K;g{;5`8d?IFWS7DC$zt^%zaF%5v> zZj_b<14szCWE8*#fa}@_T|2So0K9^_>S3(=SZiL^nvVq>ta@mD7a5R>mJQo5qiVpv zVhHfhsp=o7MRi!=vjQ;e?vL6sSQ7(`6CEasg2AQ$zyTPo4%!0v-%{4WE4sxWT?Kep z0xtk{qM!z&QNa*);4&@zNE?Rc00&J&4W6v(z#TWh*Qfx1(PqO7ehf(;=9cDEP@w%W z&vf>a_rL^s>B2#I^g-^}yT8avCc!)x(LzcHO9|mgAv__3|5zF{E}Kaz=QC<(TD_Q7 zqEiZdT!xK^Q32s%SPYAT;}!D>IV>eXrbXC{f|%7&vldp&s|-Y4u1wNVEZXW#Yj+SF zY-Bcf%iH^j{;sdSWdVaTRwd~bVQNL59q0?I=E9n>u&x8n=hxM_HC1L+l^&8=Q-gM~ z3fP4jAibtZuLB2wT8JZUQK%^nx5SZ_Jl@r2*UjY}6W}DdRYkHRPqvkrzNWAWpvn)F z`4xGtFU_t^|@7Zd0n3!s1iMSxUEa~Eag>K zYr|1rw^ddx#eqK4RV7-|NJAK^b3=6&@X^6KJ=CBE8&p6oTm`B%^+;7`+E$4x%j)q$RRwi6YEV zq#=yf29YX1T;_&|919{lMC^b{oYP|0ae?O-T>mr6!Fg4fWQs1?!$MC`9`JE|UZl%& z((0MAdJ$GH#p+{PBTLp4*IFcKvNOxECz*aY(;!+B`q`wCl(1^RpLgTVc?f4bq*ETs zIUoCqUwk8|zT{gz<7VzSaHk!(^A6kvE3U|c=oZIbyZgW^+UXG!3-Ai0lZEjJV1CI= zR68^D3ia8B_e{fox*psud%JN}!No`z(P<+(XG9l_*piV@F_FN^|5ifLhAr5zSsOlO zB_%DCw3(VS(F$f-$wI5xXf+$PY5@!Dm2~)w3iA)Ia4e-ms(dC?skQUfb}XCs#KPfJ zx>#xTd%KNFCm9I4wF-w?>eQ>;X06+zby?I-i_&A&`t7E$)9$xf-DZ=`pmzXX;d6Ro zzEZEfd->|!*WW+=+zXA>gJ7!tASeCAPsdL_G&%mz?9|T|W*%Fde+C5|MZw0A&`AVz z3bHUZJ9m6?_L(W@lheq@=J1bUn8#_$Q)~rO}Vshe<Gu{ukcQ+D5uZZ&^IIW=aalwGNLz&igzo@ z-!zo>+w%J@@%@(IeuMKxfBBmY#lP$d*8P2K&*@~<=WLqFy@=i+%Y1Kd>J4^?-8)4jy(r-tow?gDwA>cB?VE_+sCq%p(A>E6RpO2DX0EhsB0S;W;31ANW z=$k&o?EnTi|7w!`>#X3dyy%^h{Egi5s|gmMBH+A<4|~^(e!-7@$xnDSNO?U%dpl15 zAkF+BMR_lQdpC}JFM;_WL;5h!_-%plQGxk;fIR(vj`nem`f-l@haCBn9O=^>>9aiP zivsEM0{L^GEs{Y>lrPHEFRS!F)|p?o*netr{?z3DsloeG6F~5FOZcaz@T;caj}76M zHQ^T(!RKYcXI0_nRnZr9$rnx8muZ3 z(hsuo_p-{jQi_+OvfF;q4X^OJS9lGaSP@)v^Fchk>t5as5dICX;HFP_6TC)n&BMRq zUA_>MAB451!kWFHV%sm-3(3yJ)fcjcOF7HsyyI%#eI{%eSOpassV>8Im6$aRW=n_N zHR4X22|EV-ng-idV5(|rM$ZqM6uE$_S;%hoS64gzexu#4G}?u1I}>gv9QByK5|$ML zyh4zl5Aky$UdF{tTFG%8E~CK~l<0~aS(eO|L}Ml4vt`kVie#)Rov10M>+0EtcA;s2 zwTuXGV~7>ovg4ahV$(%wcxVkTz3ySvJglmRUGXfHJWEwCyX{|E4Y1dPLqhDe5a)H8%WSWn|Z z?LnUD=kGmQQp^oV|NaSJ;w-+u~qb z9O_9z197A$j<&?{+H$nU2fQL!=Leh1;kG2&*XGx4jeXzBS!-=io!Jma`l>AOSv&Ub zzOA`!t*)Dk15K(Uje^xGxPj_Ypw0|5SfLg((qTk8G=GikDw1qDvMo!oW~sIu!%<|p zt4wc=HI7s9YD8o1#)%LS&1x%^|AMOE!9`wh+S=XL-|0z6?8%UGiq= zwm3x}#H)QMnHw&00%`#PTCsClGf>G(qo@Zs=<0}88)(bbdNG1ot;zU{9Fq;ip4=O`N)PSQI}nmrKkDPWAp%)saJD286K*oKy8_@7d)U>oc5CUz0|Y5rOUqM z8$S6Z5C4pdzT?2|+pz~W%z+7$Vb3d}qrbZIz$;erBQ_4y#zfi}7#9!b6VF6Iub^*a zwFeE~e#Ns>bggGBjgUC&Ajb`egaMJ#BQrX5!GJ59h!r!bXvXEtsEiqzGNa>WeB4A# z8b~P}DXS;tjii!^Q~@EBjrgJ#m;NWONH|#8kh)rkbUXcevzyH2++lAp5ieF-gVj^5 zMn4sbx^yb1TIMmR{Z^gN2B7uW)jqpE=rD&}_JG~yu~-}?qr+x#dF`%{E7z=ToIQ8_ z}+hI)J+`PeArkte5r{^GGygOU^6dQd z6H}v)jGuUDWb~n9<3Amle|Uj>j3Ay~(k}|l7`dG&Hxs!MB#Azc!cD@_qw~lUvx~=P z7Eewuj)TBQXW%1~uwx^zr=EsAb`1H%B>p&*HUTA_oJBq{G56Ea*`JOqJaQcV#0cWp z1bTD^JGFqEg3XU3Cr)w}CT;kI!VQmxfi7#hA20Dq-$Q%4L@*9 zzY}5JjUK_c9iahUaWhD~86eyY052hcb0QJ)y(s1R80AHfp;~~W7PvbB)S(}KCy0D8 zihm_Zdp*m3yC`_SB7L_cdOgc|B~E`SOnxCqc;1J5!3PG8yb>V49-+RQVEi_-^qUO* z!xZWL1m^t|;r$Ht{T%Cq+|q|R)^7o_jNfFaze$sSnA_a4cV+Nolz&Fvbb+KX6L3Y+=78q(Job#*ot(vA{wbm#%j{Z zntZyhnr&(pnmTC9u-G;s+dvm@#ew-*c2dJZt~;qU7p>}IRGiGRi&b*5ims)yd#UMV zulP7?e(q|3yBg#jF$nQN!h)5EpdSV4Mfu$*uM_38qwIEs)rv5i5k@0SZ-i-$5Vhea zH(i9*aCD+)2Q6a7HN*|lcO60OyGVUE1q9RyTF*)8I7n^a8(MJ<3%X`T*3GE;usHTG zd>jb^s>MG>8-^hMDP#@#|~hM!Uz3JfS1x+AMWcnd$&#rpJv zss>q6BQDja9@N`>|M8k?zN&;)l*p0-TU6i*3OqnwiO#7PbAaCHVHL2VCaP({w=Cqg znNc@T%UV)ig)e9@MLn`)TrBA^B`u+(rX>t~pH*RXnoa(YK2p#nyXIWaS?T+lgJ5el z(pigk*8R0LM{&)R831?m>SSAC=9H%O;>wAFaX?RUtbzX6E#t+B92wXv6>>=(O1`O-97i(+2GFQ*y$U-)$``^ zwj$b*g}buQiZrw)4);ZorZ83(M5=&Sa6>JAxGfBKmLolFVawS)h-_bRbk1rDyUWpa zd2U-*+c$U5m>avM@`f?DqDrhRODI^x#pIgQ_IeAp<_hoczW6Ku-NqzsrzBMdqnAksO>1d z3up0>oFR(SPqn-0RvXFW#_Ge1n$)~BG0BUZpa;lHS__|57s1xli~APzMKAuGmvq`o z+4IuQdY3MF1lK*1OK$ENH*Lp-+p}Tz&0wl&f;lH$7=7jT1FzU9opka*udvWCPA<$R znThI#UXjtBsrhz`&h?DB7gJY#ysV87H^LM8#iSOQ)}nF-T**W%TZjcSCTjxgcqfgh zxDgvO;Nv<%LPJPt2w5GWpvM;t_!4lj9-G%<)5?Duudp(5L1iN!S?%>(txhVNa{3*C zSg2TQu5O-bw^mcpxJ$2fY876SI%L;}?7Dzm>$htH4t>yR3A-Ethuv$lIxS|W!{YSV zoB>CsRvet#zjW`#olCdcTNks9y(6y}A9;9e|7GmNf0`Qk>CDMT=0_i&9eHx* z_)}BIo|znZdSdLUiK(aNV9&yF$1(Ji6u~q{0TXHvG{Fp-d~9~{(GznIKQ{5RherXg zcwzy19JM$KnR#k*yt$^Rd}Sr;txAGDk_WS(XvbHzCDljM#wTh!<(h1w3gQ zjUQV?kHAnT;HXgqY7&W>LZPS7=qV(60)jd@jXXYsJ^{s#AxTpx!UO_&91eLB3VjNK zI1a&#LGhDt;tZ0sfWLJ-{o%n3rRO*OIh1b4%})1n(9FZ)SPFPO)E&F@G7Ry%eCl=qJ7CBfRLv zzY-w65v9DFq`#M`01KOsC)9|pHfGq$VO@KNXbqB5Hpw{dF6o9&I$guEc!$EC1sU0V! z2X6hKcHOj|o7VNvyBn-G9Vw5({rF#xG(9*u{9Z@5?m)4o7};|6e<5u`b6>%d9CD8RuAI3PAP(~oNL zz$;1y&?|~Zb^#7z0Lp>%7JkS{|Lg-W)I*EB@b%xnTuSL{Wh$D6jHZGP;7~luLXr@Q(61&T+ z^@h~J44563=ovG8S8*j+T?y4z!u5W**$>ovzFN;+?K#RlYq4j@^%SX|Alhe#`@BeZ zIocM-TGDt&p6Du)y&+v?vZqe1Xw$3u+`6f-Whw7ktNWJ9p1HhhEbSPI+xo(mzPN2F z?^>$+z*F|ho};vD$#3eCeMPvT05@o~0ktp}*IbRA;L2HF_msW9X(;w|`7TJIXDkma zjde$7+u7T7_4hn0r>u=_U2aVt?MWj8Nn~9d-V#Pu`OywHR^>(;+(?@f?sCIjUZ}$h zb`+U4OJmQsdd}K9qb=@BlRNU9*%L=yXo*KnjB0GvCdjV)E?h4IYr}`QMR~2I~AuV~dIgK?X@TMri5+hn;WP6O} zj5FN{t}neD%E>^Zs3;?4WvDFi<~f!GRUITK{1~|(AqzsKfmxAnQs|iwdM1~_T_Gc4 z_hVAePvo9osQu%HAleotJ7WxQf)hw_197fD$n$#X?f}jnfmxC>n#icg|Ll^J%u_if zO9K^p$ACF)#h!N)&U(nFeY8D4^Q@13$-}?qUcTh!ob}N5J%n8=W=oG;RlvfuS;@lq zt9Ku)+uW**x&<&B6J@4iT|9U|J|8#E0ba3|Qty>qn;FX>u5AaURnJo1j!&Bbe?X@7 z=&T-FFyhM=QpHLtS#fy_Dr-ij&FGXFmoVZJdO|`=OlgRKSLF4$0&uYoThL;%YIIWZ zk9C`211aeil@so6tx_wMVzHprY4CG*jjae+ZxAmV4x zxG5BF3X7is*O6kUiO2~OY?O!?Ct+vEWC)oCBh%ny`XZCM$R{DB1caG{4AIa92DZ9{ ztaBC`ys0(C>=_I6dH{JVgt{F;-HD)IjN@KO5njuX-zzbG-(-K$=l^+4^8Kdr-*@%@ zwr%>?P4nN@tzWiPAC`H)N>QE<;jg=q7cI~O17u$dmb%(eL3dQ}9Tj31lnV5o27OA0 z0lea@3G|AKcH9*w{+fq)(@#1KQEmmPw*s`ALHex_<938~H_Eyj1Gybz-ik1;hp5*A z3jyQ{LBxw8GtmG)hY{#~8=ZJqK>lk#nw`CX6u-9Y%w zK=k!M`sIr3v%d6`uJjLG>8E|!XTZar^plq8eqC_C&i_MG_*qNzab5UfVd>2j<#j+d zVv^V6hF7Ed7s9f`0RKjSdp*Rt7GXaZWMB1ju6Q|Dy}TPf!A<}24G#~{iAxshRU7@f zgMG`%J9G*U9nw2?#Vx1&noD}wBe@#YUCTOe)Fap0x#w2uS2qS%c6KiB9b7zh<@D*x zn`bZeFI=i$I9s@IDs^!?eReauzmeZss}9!M?e$(|y<2ItOW9T-(k_Hrg+MFsZ)V-i zjJ=*THDbDYL{$&UYCcib&8s?>st$V1N~wY6IteW^0IqGucP;p?71y?6n^sKIiUza7 zZCG%RsvY076PgZU+evP_sBPC!Gd!SX^u5d#FSGAs00(_9qvxgf-1MG{)_2ne9_pHx zy5^&7_^BHK>bjq@>LacAh<)#H0fr0T23ilf?V+~4w6>St_A=XEM%zPcJ%HNsP+D%l zF$h1Z1voQeK>=bg%=!BNaAX$^2U;dTFcur&Ov)l46-OL-1<=2jj=aL~z$*aF7(Rvc6(4v7{ZOeFEVl#IR;ba8 zbXt*KJJ{~|8v|!$Rh?PkMtZbhhaK)N$2-zwN0#i$0TNwVye*40<*}A3(bc5-y4!5KtfP5gshu*F_W-ZZ%{5D9#aQZUvw+z2rLloHx-N=t z3#0qI=mtC1W5w#MSeqT~v7-Y{xX%uBSiYt>v7#$)*gN~?`YCPclrno-p4*k>Hf7mW zS*i~@QnW3NbtUnhI5AjGt_o9Yg4Bi}xh_bo3*rM#sLS#<=Zb;tn3aTzf(SgrdQF#kGXT;`>_@bFuu~MpbQrS)@+Oc^n zI%maZEVz`JkTejIL$Ana@i`qfugB!I=$smrRw3guZmaCKo+o#*T^-MDDHd|ZFB`IV===}7ajdmE1atoGm!YVQ5FBX|8jhwk`a2mk%w?*H)*5B%uI z_uu*N2k*P%aLvzKAcs)oMk=?1J_zX^?gD~iHbBq^>)Y-;(0IpBkN)IGhktSia0R3m z4QuFVy1(Jz9X0p;xS{dx7T8e;xe3W`#*ep9#BDS|D}&d{9ByUwwbGca6iPFJP>(?$ z#UKw8ku@}AeK)$P7uUiew6lrr416mI*G#}P6Vc5?R5KZIoC-V6=xSoZo4auxEDE%n z24m2mbXr$06*@$LiAZn_8E&J%gH(8g28l6R;>?E9K+}?_byo*DZR~o;412@|f7FhA z+<|_=iTzc8_)3CyCC_?qvhT+9@MrVT+$eDDoEz(!AA`=1!{&LnU9loUo{%8d_GzKURL4H>rwqhX`>rrk&sb;= zTIpZ_S6FEem??WE(yo!XYajr+IBCS6HWMDS63^O5=WIkU-?`#p6Xp>k>QN*7F(d3z zBlJ;I*W(t%c?b465Bb+V#;?7-|KaWbmAn5L2m5Io>v0qH5j_^{Vy1!pasu&$8GXTq z|CNjKf{*!vkM$cL>v@0A^M2NE{N2Ct1GJz$@1s2LCB5h)z7in579zYJA-)+ST}hCx zB*|A&VBRe-KA7sgxyb$P7XL2~D*xZd41a!5`sMcUM=PvrGnBWA*h@+H#W3U*Z`(_b z=2sofmmDo`I9e_{+um|@Ty;aPy1=~S>U!4=d(Q*E?nQkV#N3SFZ^Z~V;@A%ps1H)8 zkFvNM1@g^F#?7goTQhw(X9sS~4172}@WJ%JM>B&T&kf(08Tz2Yy1s z@U_yw<#g}M5!y=u*316kSG|&#JmO!w$IiRBPq^5Rx_TaVcAvE|9yBpd>*)^}yMJlr zJn0;K+}8K7iS?kK`jDP+PT%v$ME_%kktYp;^G4ZIM$zNO@n4z-AF+*|bMqexh#!jT z9!xtPEQU^3@(;`{oLb)ASUCl;KM~oD3)ZjooXsfQ!Q-EU%2zawv z^q3%l^Fq~_gaY6VsGXFo+AUN9`!3M^{0lHZ7{q|9zX-UvS96;d9YJ1OfY%D>A|mXJ zR$&0>;$LWSJ4vvb0n329hrzRQcn&xLZc3pkN!RTjqu_iGAXQq3yCVCv5J7@~E2_Ex zZdP9(IuZKL6<1zJir`5hd@p_cdsjq8n!_V)p^?tO2rMuP_m9E-m-=nl0ehbB zosvfuWubY2dve&48ZswGZ0T`FM&vCjBU2OU1!H#6kX@L_&QIiSN1vIkGGkH}$qW6d zaaU}_ksPvTL08x+9NTQKeUW9KVc3f_N1ATWGQes>32+6|m}ck`Tw8|cFUsQ;X>>*$ znimF^#=X ztc?;i5xgc0xB{<@;xtj5DuPplv5F8%8-f`^UB&=J?}cbwFpU#$@G>kxjx9Rqh>tsy z@GA;MJ$SQ0mB+=}E*K>H`U2F;KWN6WDN7}s);Z9KxBXzH7Qa3@*@CJqhhe>$wY zPhe?Pd5NZ2w>92pjSX8PBi6vM%`;@TGc7ih(RN&KJ0{Z~9g`pA@MuE=RzdfgoV2dM zuPU$rEtWNer3vbyrTc`T8*s&rinXPouj?o$^n_^%B0Jm>>~2zF8#o>HPd)Op{Xe<+ zM6I6Fsi4Bd1f-@1Y98(I$T}igQpP+`v0e5z)w6eFexO;kL>s)#LvD^DswA6Jp9cn#xPgBjE$L|04 zqj&w_;7|Y8fq(zEdw=r7yMOYdd+z-4-S_!?e2q3cima@vwuH)$AP-Lni}uzY`(v(;og>-yPIq7Zf!l(jywjq0@l-n8g9h$ z8u6ozq~S)&KqHlNoYvh;r5+~`>M-cT7{vW#XF-W$eOrg8FWQ!l@=XUT0rK;p>yM~1wKFv_@V&5Bt$HU z5i3&UngX?{#%^hGJ6im%p0KAUo-~k887U8#sbDN%PJyl<@0!SaM$$6Dpt+CqNF zMm}q!oU@V70lKgf&shlP%=m{*xL+Evj~TI#8!=Cq(2tvuPg>FE?f7S1#Q^qF824t3@K%EKc8YQ}O?@Xzzg}d0IMsJ^e(1|J{vUQ_ ze>tQ5{g(KP<>8N~dOs{O-b<6O#&B;3F_*oF%P!~@7wl~p{Hhy%)q{A)i@fSXzU@O^ z@ggsKkym`ED?apF0qi?r!h2ED^*H%@oNzsXyPm*;$0Xr;iu7TYdLz%gS?s=9=)PHG z-YS6k1W2CwNsf6d%e<9i-72temAE$w{ns<>x8pr;M|$54_gxPRUJDMs6XCuU?|U=B zc`d|0BeIAtZY_sJj@l zz8Ez9I;g)8R6psLKk5^m^YYI61b{9c49d>L45w3`)4AAArLev*zqGnuSzpg?ZbY{? z;+q?(jg8FOdU0`mYG!S&vN|=rTADqPpI^z(EfwY#3Ul+t*_q-@r8HeEmUG2Ys!)jK zv%y@-la1RmVRJgDPy01#uQKD7XI-+KOPX^_b1re-!Oz=A^S0rfbtr2Y1U`1sCT_~u zmol(Z6TK-tE3NBJYnd4>J*%ODx=@qyDtu0X&B;+YDKaa8XT-3K1O{%Fr9gu1IMwK) z225Uq%BhiAH6o*er&m@{UnHulgZY1wdr~iZ6x6rLcqy2-s_*+T6Taz7X#hF}jj~ zBBao?44RgLxh)D&Cm3)T1^m&sp9Q?K1PbnTEbiLZ1&~P98`1yE6$v41H*>pQarK3} zqvLI0EBR_u*AUn;5*8G|gMzM*pd%z`jf>i{(vFe>QdU4K3iy-~Rgl6nB4`}!{{rqX z77)U{a*|8aYcr0j%$jklmu=6o!L1%j99Nm|nN)ixExw}3o0)JY^scBOkT6A4=456f zmeYg_Qh#yCm0?&C1VfB!jCC7hy{0(Z6l0rXeU|tDaIJKt#@rd9zaWcDDxwuxv?2|c zCE>C-JS7fK0}+O1_`&Hh-_)S1)Mv~0+rU|%z|ApldBjy5vS&u!d10_3kIyUO^D^Km zfk{aS@IyrrpH?LSPRwaD3&06*k1$XW`ir7KNgSLM_)25I(`|(T+ho6eiesPcb58ep zDt-P^pQpgK=Xx#KeoJP^njW*J#Lkq;m!1fxCxZEjU}+*yQM~&1C?2}cN6qv>wL!V*jQ*>RDri)W`F_Jz;)J5@HKo=35I*eC_2(l1f z7CxHOXoiaN_YC|fVIJJkO@iBG5UVWIY4KWoyir9tY*$~5~j(&Y>zrJO_ z&^%;n95mGq7!LL8j`ZsqxVqK>UGsphZa{a4tF0S0w(%WEX#gh+5T#y<#6_1mnF>2g zWg#leT~gCAk)e^VX&se82KmEdg8^aBmW;9~BdkiXi&E60ny_S`E!lcjO{`5F=!$I( zV@pTb&=aSGh$M|F@j}+yWpxh#?TR`v# z2!0_hB*KJ*s6e%3;U0zA{$>9P%}}R)3}Y6u9P)9qbWA1aM?K74SYuJ7X3L5FJ*12yRW8XTvV)Z0MoK2D_puBgSJ4r1Z=QV_rB zLEPDg`guS4ZZ76NF7{v_{wRl7$0i!(0kdg@czlR*oJ(!wP>!)E zHGQO-5mJqqP@^Fovr!rX^rjHCAxNnWl8z?3k5vYmm-!t#O5`~s>1j{*({AQdF4~h$ z>UlTmSwHUAAU!LUde%*OG1T)) zxcAj4>$Mo`QoQ^1I0MLQQOc_!!pi~7%YO7Le$=ZzTN(DvWY0$t#s?wl2Y$+RFY&qu|Gt;_ftU2Y zpLESndM`k{8YH|G#J?HDUkc)03*s&Y2^T}e*Q4Y&`ry9v^JapF4>+}k0{ z+d=eu5&Va7;>`r<(**JJ6yb{${);&7ix~FH81}0K;p+tH>lF2?4D*Xz?`JvAt!&?o zbpOpH=kqx0w-MU!;`HBTS-&l_znbd%Y^whj@SdlJJ}!@ZJURYxh4=9^@79dq<9Wf2 zMZrfWgx41(@6O8Ks;IA)P47**-=B=WU5Z>P23{!oo=cjZ3P~Sv51n)LJ!EA)Xreu6 z<(zSjo$*Re#mu{f(AG?8X>Mw2aW22STv%BtEw7Z9S7zpy7H8&Hrsn47PE0Ltm)1^| z)=o~YpDb^joZ8r%-rSqr+L_(hp554--B_PqU71>0C@;>GW-IyWVy=?SmeSdLGLwsE zbFoY=n$3huDQ_k2n2uSdBBpZ4Pz>q{UUkl+$U4Ot8!u%Z0hp1V;H34ejE0_3lQT*} zR)NXL08T(M!j6=nHOX&I@>`OEcHlyslt6&%at53y0L>_%8F^Pm0VWNeK(k}HQ+rG zNVSs}?Dnuu^+gg2L~=h$BybLjrMl|myD9_})Cll`V8GYh7e!3e5fiop$ErI1`8JZ( zeqk{wELzn?SPThQjS-Q6uF(GvSAcEcb~3l;S6qGZ?ijx_1}=96XJSOa`4Z5O2nNoY z5Ozd_Z3$6ZPSPnzJ56?s=h4$T4YM9>)?Zx8ai{Cv1afU?V&X3gk?Q7N@p$Lt}F zGskun+3rb>r^5GDl>UmzKWTJl_4b6`645)86W)wIkW>2dVoz?|neDSD8I~x?7@|xB zX}Ta?8)WDL-TGj!F+5;TjCnGmU|ta`Ytys3^ek{93g&p8^r$B@?8=O|vLo)oh<9?t zQyy>>Ikp1Zn(wvctFX!SyK)1r{CH?eky$ZL?dpmfqVP1=29`la-B|$uj0m`6hAOov zi_Lhy(NzNpuq^anBySJ-HEs|{9>!82qC^%|1B=1h+@&$1PnmIBS3ry826jGYr97gV4tmhHW(=H5+x58#Sj4P#eF-PV&Td_=IfS&yp` zBJ290_0K%^^Y2{IIKk;sP@xh6OwH;v4!1f)Ep9Q~Cm{tS48NG{6XHBVq(=yI3n6Yn zr&k2^i@}nGPmJ`6U>+fW4OBpi4ajgl3ECq@f)QaoLXuBJ3Q4NFW{EK&5l9QqINUx0 z|EDVk+qHvG?GRo+#83}0C4&^+0A8gS^aSkrx!H87?DdBX>Itn>suhoEMg2M<5Ux%z zq!W#5B|@!S0=hyi*Ju?g02K z+I*y?=H6rX-f{4!|90OUKfL?SAOHO4Kl$0+KmO@~AN}mekDE|ONCRDiN)mk(itcV~ z#~o}%9%}A7)YyLLX!HH|H5~Xw?LGG${@I}eKde3QgO-}RpvR9OI~(EfrY>v~=n7Ut z*Fb&Oa2=F;6vjS`>N!GS9RplJqcsr;H5lXpEbJFF_?>LzPq|?3mwiSB_HZ19ULVb6yXnQh=;9|qkdX# zkXjoc*93@16ZB(6&hfdC_Dw13p$W>CLopa-0$zrye z86Z5^G#@rCfCGPWi&FHm91GF{Y(RtC)Zn*tge^U3dxE@UpzIi_yCxvCJu~g3g?7q9 zJ8h+%vC$v0GtS!S=j>HlSjp!sAT1s?5g#>Do-op$GSQy4P|n-P=k4Eze%{e@!NGk7 zaD{jHKl~%ldi$PoQh#YhKWv7dGeggsAdlHl&v?i$0IrDiT#R+Uo?yI@q`#S@Ury5A zh>>0k<6jM;Uk#vM^&?;PAzlxnuS9TH6Qp-j)azO12l?I)OMM@e2X9P|+??Zmx+wg7 zS^U}b_^0`yTM5q1Xz#}%)<=HkM?U(8Uh0P)%7;GcM}FFeLHhe4+O;t4oiO!En0zTr zd^JpXB}{xdLV7tuel{g)*9uQ}@9 zrn>*W)c4mD1K+L=|7mUXPiwqCtqT8qLi#5ltCByiiT|)E{r#T&KTj*ZI;r|>OZ)Mv z{?>}^vt|F6ONpCH$!klg%S-83E1u`m+6%$4r`(*!t<+x{(2p1i51XmyEUbsT{4+8A z13BMTF}709%}rHiXJ%&S=4a;@7v|@e=Vn*tW*3%Lr`Pt%TW8DLXDd5rr*_ZI?46rC zd2asXxrI~b79Kb||G-0YC(q38o|@j?D{le<*(jV?%`dOy7MHUNi$F5-3%R-3$(izW zB|kfvo-QV*3bArFJel?v6YfI9mJ1rPK6S<|%Q%G@+gQdjlr{EcC%UsbT2@WWD6yal zfa|#UUxo~TZ}$KIz^gEDgr?=tw5+QdNLmIk1D2H|vT|f~GjL=^3QtSG$qXqmBrWMo zOFF>*o>FK`3I{6;(&|f9Uo8y=bVW)ExB>(~0^~$TteSmSfGx#kfKR~HA892jtwN=M zsL|Hi{a05csw`bmSqqi zfG&V!#T_w0b&oF|%)`exg(QodtJg@C2D8ZQ8MQ_FotZv&p5vM1c&EmE6}i8n_fP7a zIjtq3F+|nol-izGI!hvZe$<-ff`cXrrZq~lgs6rfRTrRX0t{WSdm_j&M}}P~A%Kc_ zS(lkL7Z**%1$DA44ra#O@gYa7-x39D8us*%t1##)fm0W3Mc~@av}CB}B;A_oab){F z1zvPkRamzyoY9rHdEqIRG0HMT`mMVONP`N)I|pg222Yu_2Ev zi~ZAlXMWs~A8{0i9FwEIDM4gTl3Egkrp8>^A!AfxPXI>pg!BGTDj0}H{DF7?IE!Y2 zv8dbUv)XJ1gUa9>GXw!wuuR}oPr4;fGvz3TELoo>Ym#JToFb3Xlrg$G&d|ka`UKz# zqA`xwMX>4+RuLdb{UouEB=liL9;Da>6*(Y$Tj#jBW7O0!YVI7dKt?UlQ5$^B4jZ+1 z4qI9W495XfaCP-uZ5>xr%T?EKl{JIP+974#sH%QU-880d9@lh?Xb=Nx99xa))gpQg zUA>kLmZ_DgKTcD(F*Hz?9>q37*b_}X+QZ$d_C6VPL_97K*hE7`N$*J+bz4GQ5n*Qp z$aw`}ae}_$V6T~bH}tG6RrijDzN@9|YKfC$FgK$~iab1ysO^W>KlkMKu4tOzK$SGW z649>L86jtCbI>f%A1ybc$y!z%<_fe1*DJ`vn4=mO#e%pk#o zH4O>ID@J%k2+$QGz!l`6m>8Afq7qEF>IyFp?ifYy=8O^|~Pt@j^mJ6zj#q^9*q zZT;PKM}E?9@CWU6cfp&FqB|R5u*ObQV<-7IvcC;4gb<{i=+Pz^`zVZY7{{omGF#}h z79y?|1-lOm`2`JjcR%W$LDW55#65lRdpL;u`Y?z43AO#idM=@10N*%_Z5+ci3Q&za zRKqByeh^m&{A(YvmJQg0cytthRDeCA#2+z{j(Dht{nVoXEyC1eNoHf7-8?nWzQRZD zsz?u;doFkfUrY$!D5)b_d({$P6WlUdPMbDA4v>DB!B#pJ+q zKIWqq!YMU;O9ojLb}Wv!E{wO$kGIW@wa@W7=XqUoeCQk>Hp_?2@ZmE8#Iyi8Ekw;p zu!}PMvXXE@Nmy0l)>PPa6>dX=-_Q~^b)>Bc^0t8r&|=3#+cnenEc8=W#%UYljE(t_ zoq5*5I0w+eMtj(Ln--6l$&Z<-PlBjmoVU@RaWXDA0Z!0>JndjS?dUo0m<{tw3-X*9{oL-$2>!J& z_F@qAS_oYF@p=$-C5*iqBYV_A&FS$^X8AYEBRBE` zAEr6)$643HjCcIhcf91Q9>P@@{#`HeJwN$ckn&!b@=la;HA=Z01%3+QVubK2aEuZ! zMoF*7DVGzpt4Zqn3F6Hd_R|RJ<1pf*5d6as@@5S8S(5Zcn({@O{6&iNMUwb=obXu$ z_jwfmMU41Wg8XHY_GOy+Ww!T=Ec>%;-=|sbmpSh5^ZkD*_WyN?`@a_k|FSyr&F0uQ zJN!SN6n(QN`F2PCmo3#_HkIFQD8JcI{CP|Mrycq4Ps)C`EBks&_QksV>ov{qSB-x@ zVf)>h_w&uj$2;i{*23>Dy55>Hyk3yMlH&a)-2Ysl_i1nUV@~>`UhXf0{D-5;GjY>i z%Da_~trc@CmCEAm!u-PG?9%eoi4#++o0YY_%K8IkFej@4ZthmIQ`y+5tZ$dsw2gmlo!V^E1Wy>Ec|aI5SzC0tZtH`-3UD zP$A!>L$DXGST z%|{gIxEu*~)RH3N5=26RjEfQA=H4PCI0-=nOA4VW5hN`JT+x}5{L>ZH1*g@4kLozZ zcf|@wQVb}fGXZj9KkdLxuudYax&`d8hRUkZ84V__!DKX8AixO#j3h{l>NtxGQ5_Qj zix2Vd^pd`9A=p0+Q$5cps>@WX0XwzH;c+=UCIejoRxPTi_|6rAe{n@uTnO3D)PLuS zdy+!nSB3$GiAp*mK%`)z5^!E9pqh*XT9Cmi3V2x#Ey=rz^3Jpr5)nat0+?5XcS{&9 zdA~_1(x~+kt(!mL8!?9lY|(yuisQ_4+>^telE7P%`-*Z$R&GklC*m?=MrtmJER|7n zvEP{OF{XMg$zFSs?MU?6620aG+nngLCI{@PQBPJFDk_pwy4;+pv|z6++bW9_xoKrQ zFAAmsT5xTVK1+;iOAR`51I}Wf9bBx+vJ_~h49OU$m=fLgEXPwA2~CSqOX||5EVD8i zDEFA-J*F7&BLscGx&*36K+Gwk|*ygXYd5Q|GX`a}*>;%ZQ3Iy(dgPYx?eW6=PFH z-Byxz75MxR#6qnfhuuF6Kgvbc|N5!#ToG^9b6|igqy&hjr`=SoS5#era`SK=9?Hvy zdwEa~uglGYcz6(>5E>N2gA#;a1oeQffck{!poAEdkOLB&PlE7>;cg+?DZsn<1g`)a z6rn>RWIzD-@uBW<=>KpXL>waIK~X=8SAdux6d z_yYCZZCA9`qS|T^?KOzDqmbr9tqu1#*4|TBd+(9Ddk@y#ccl4XE#z<`x(3B=@0MUj zjMQ#10@vRRp&V^RA8zct|5(d`rjD9cXnh;Jp{4cy<8?o6KKuhn{V$L$HJHvO7__k+ z(a=FUjvIz{Yw*2BJW13EW!FHchcGn27439t8v#>?gxrg1{{88PB_12W)$!4_ za_o@_!XXFcfR}nWM6Zi6no`{@xt`V{r)_Qoz9zw+)H2We#$GQ?e7q6*VAXbYLHWk? z$Q$MU*Gt`(3goM0&POx6FXojurlju`1#f0Xo)7jsZX=!6B6bvAYv9z))+JusBCma( z*D=qBEC`_U0@$1YJ}W@X2$3^F)U*&YEyB!635yEyvWl{zBCRO!CzRL|pe}&m*EPgV zU3DR(fwp6!?^x)2R>mnC^R&JDjJ^9I2N1?tJ4lO%0b1Co=d6@Rtdz$rv?nd}^ET!M zXZLgNo@d>x3$E_-PUh22=2H&V)6SmrZuT?YzF+zKpYyYy@i5Q3C{H>GkK3@1SkRB# zaZkHQzxL9f4^UqWkzWQb@nJlW*TT5h!kE`WXaE&&gwdD7m@5$w74OA~*OKIGN$Pt^ z+O;I(T8eco-Fq#=`5-s&QE~W2dGw>w;QIycdwI^)WcQUQ^>sh-buaF9H|CNP{iYZ5 zmLGpLNW2;)y&WgN6(_$LBfS>GUyK4FT#6B1j}b4&$?qg-@24oY;@GdE@c#@$zKV8z z8HIixM}Czi{4P)XZISs^f%$os@o9$sNs4wWLA{lreUhMknxub{WPX-reV*lfp5uIy z;oQpfeUTsdeR=FJv!cH)iN0AA{%K3_$34-XAC!Lch~h8jRDV6A{rf5X-*A9uum*b)6DNlPDPkDNtbaNi_34R&WoC`Z1NJX{^g_Y^~*~Jxr3Yo3l z!p838+HU2%-v02{QDsFCNH?}hC+v$z%%+^+Jb1T2ORovJF9#C3apIlunomiP%UMw%oR~Ba~ z^OdQ&($sXWQchKh@p3*qne~@a-crm`3aU#UVZk|;cZ_7MgJ}~xF~N*$sZkX%EXRkW zn4tLfYWENy0VK>vMES579~KutlftgF7?P1d(%^Um=!#f%|BBm{gndqcWs1(ExC2N6 zhzLkKklU`1cBN&|tO5>B@X(<1T5L{-%YwmYwYZEH+#s|{3-mrMk_yD_VUcPTA|nR} zXtD|R0INWzz-RrF7W=69zg+Q~YQ>{-D|767SENO#q!=ET zKqAsMFfuSPX=ef?6Cx)=mK3NdCAzFc6cx~d0+N(LL*R!w+9PAQl|wGA#Hi6J)K0!K zJgy0hO!x;)-T_Ob&z5F8ivz9#SQhZ)1on*3m=x&}0)37*F*T~6?bnyObs4%o(Q8R_ zUD;u8Zpf1#bQQoIvAiXIU{VsTC{r^N#RW@c**>%4o;%^1UA9cl>a&xISdQ-l>;ZNm z@3$tn_AJ+4;Mj`2*2!*jkzz>W^)aF$&ah>AJ%s^(c{DsDOfK>wGlM?B9?4!yf@1~S zlL1d0bmoVF_vy%UY`GqDhGow5n6f>l+>k9Vau?KryvkpY`3oX{K^&Zvgr}s@IZ3cA z^=4&`m?fAACrhQt+1bh26Xluh^7K}zw4TqN$ix>D;hBiP6!5s+LAf>3XNa>537R2E zG9&?4Ff4hdt;jMLdJTEDKHH;BG1PI2I*M0EP}(q58-yzT5UCF;_Mn6wJl{j)dGI_B zmgmOs-58$hySULjH*(wo88Wx^fwL((M@%q*4JNd93QR3L-SII^)2Om(MAka4fQmF| zg@LLwa!iIXn_gsAD^xO#P^1`_ipDi#Dg9e1KkOUr*!UEzhuMpw^U4adWDIp0h2v#i+UNOuiK-zd1+Zfh0j`H#0egXJg z?>NLY)@2`s|LDK}aoZJrO)6HClHMXCw@auUB36g652BH?Jb{VqY#}vO3Pj^JtJkR2 z>*N9@;0hr}FB&q5$BlB~gi5N{D)l;*Ua!(msMTtzOfoLy517rWc*?tQqP(!VHotRr z?$odLU4dzfk2FySwQ-&Te zkeCt#ey|0`sBOm`ZR$Ey-+HhGTGxd>j=;7+yN+}={k)_0C(wqwQO!rt?e$PdeJiZK z4c~+vf^}<&y+#s20D<(>wv!H_X^k`{gh7K4(DlfU`_Qd-)4L80qUuJ_bzJz7Uda7D zT?c!SM>+WVK0;$Zu7Qhf7(&;NBI1s_0e8Xz_ffRpYEZu-+s>JxU-qgKKbHsX0F`8f~m*FMT`0;Cs1 zgqOqkS3>w#L%53}EI^A(Ve}gj%;hNV?HK-@7~x&O6$#R{1m(R1^}Ph`y#(XEWcPc? zp6eOT`#J81g~4n2{&(`6w{ksiCh3Sqbu*HPGiMj*e9LBEW{zf7XP%94It zWPCl@^F@*MX`Xc}%es~6zM1}KZe>`XWP3jaP?77qmF>Hk>H9Q4^mRq>$9d%+SJb~- zSA4ZC`|6b9w-2g+_pt5{XD9x2+W76B`P*&Nx0}Xq*A3rp>b}`gf3v6fW>50XuHc)U zvA=GQ{bOtV|Jxk@KYPmme$e{&M?!ypB>K096MuU+{iidLuXnwlY}l^NE8i%MzL;P= zA7cF4OMA{iea6{$!Oef#t9~TvcpwwsD3=!&7AMy?GrOk>n|tN8ovG!m%F@Qhsq}(s+>GCwRd`Y?}6#vlQY}9Gh5p;8=Et$tJBNN zQ;Q3g`I*XWrCiRI^PzImQHq(05q&a&|>poKQ%&DN66^#87(gT-S*=kE%tR$O{zL#l2xH|U@&<#n1Tjd z)PQ?&PB67;ExB?N7V_h<$OV#hvi(O`;$>3D$gJNA$ zI1%L=gX3o3ur)H^NcXvlTvvX;of~pxMr^5ZbCPdJjvET2hN)r09A{#Zq07*!t{8IW z$GpW+Pie$c8ugY1!6|8MR+*aDpq+k8O5o0FLIriGAP*HJp}aU$5{0IO;W=>ta79k; zN?Jp?2=Fa;a(=Enzgk(?om$u~Pi;*WH;b7Qx#VIhHXVxu{4upNF=$EkngCbCfp5TMupTM5^BeIO7^gt*stqi8QPeJW`?1WW+3%Q z#oVF57$Ykn&qxSs3hc5JJ14|e#&I)J(!7?oWMM5Cm`gg~)1JC2CvJ#wTYOZaw@rns z>FKz)4{>-1f9!>4?z+7mB-TE`L8|Coz{OqH+h!eUb&J~E0*IRr_wbNDJ|ZB1g@n+c z02<%{z<>pXu&@{wmO!hn=&ZT|7ZlM#Vn$Fx09@gdK%D}lbsS?I!#Ku~9v;lg@AC2> zp7BoCc$a~2AfcA^BGUEHQt z`jIx$5j3rt(T!j+5F~6fy7Mr)^#BcWn1iStK-BiZkM?#Q>V+Q$%Mql8K2if4SI0&l z?MEIRM%41)bz_LSL1b+os)mED;}9GAsK>daCUEuz`j{9~tHsw?h(}!HS|7C`OlyuY zniJhk>7K?yf7{dubY6gd$U68^&iwIK?#5Q^gH89fHRIchlGmrWFXt$iOYCdYqqpWI zA5IJ3EeXDN#c3_7>WU7)70cD`=S#wlB@tv%3|kN*=EcZ4@%N~}PKod{64IQUwy3QB zrKw4404LN$FdEXjmb?y57^ZF-Xj>-wwwbwW={{*?RcX%;JQQ_$Z_;KFJe9F#v z!b*S2M!VpkKkK4bOBS>j!_=1|)K?fIzwSo9 z;YD5cp|1o0T41k4u$N=F%W)w1%L&5U2|yI&>nX~IY1+*U2uo z{_SDgU(Xu;a$5E0J<(rwM1S8D{r8&azc-}+*p~m-p8CJ`^nc$o{cX?s?MeHe_Uymk zb9}LB`glciZC-M@ICe4K{~K@je|R{*at%J?8h<>fK9_JjkdJQ86qimcPH%5bZ){Dk zZcVR%t|%|Al@?AE=a=(yOZmCQ+}uKbei004iKW8wa$$J|5JjO{sVJ_mmo_#hH@C`L z+vUxj(&kQKW4o}qUD)0!?(CIzPnP#iRZgCsI(Zs6R`yO$?LANdvU{qsdva=LZ+d%o zdTVDIV9CZtWp%ZDVx_#YG`ToGIX_*RErSCnm29D$%$H*Md?=Uo<i7@)2V$ zpv!ty8Mi#+5NE7{w0SIT8p=%cr}gZ#t|zTyrqtw=5|@-C_oqO_s%uE2!j7n*Jt}C6 z2|!N7g{}M9cSTa%kpf)-$?VrFKw6-{ow&64jE<1j;lY6WW&pGR1Lz`sJKyy;0eiM$ z08~^10%Knn)xF1W(_;VrYIj!*fDnKpY2|klHo(#c9Ec$%x;=06trzyEm+a+l&#!pr z<$E*WwjqF*IwI2J5ouFIc03|$23(PnA+j=DK|z>Q5vSFpNw6h7@Zzwj675qG9ZH&0 zH|8?yTn?YZ6}Ed47GK8TO=~?Vr6(!zX8FFth_5{8EppwtephDDnHq5<#vF-pSC$8E zp;;Mp6xo(6%ar0+G6S~UkRv~6&kxx0gN_0(P?p7K)tPy1eqLXkohVJ~3zNEBL7&YT z@&#jYQlBfy6M23xJ>p3Xx-wixj$_UDm3$~3#F-*>8bfrxsog9 z6M286pbr%Io&wjFrW<2;eFUHd*^s0f(@aCUN1tZv(kyL~p-oVfBPUOOhoJ6UcBKOi1UYgQNS9xf17g21%@F&nbJx*jK$Sef8 z6(_S`q-Lbh2piKu237D89YJViDt*KHpxhF)xPv~oC+f6iZHAQ95Vn}SCacR}vFnUh zjb0+ru|~8|wzjof-9%R$BTLDQK}9buH2|-SAr{4`O%>*Z3_CBvS9pXODS2K)TQo5j zC+G`W>VlH8EXA)0(CZ`cSa*v8Q`6mXUqAB5D5>Ga=e~DE=L83>WP_%fs(-@u2o`#P_aH_0%bubt-z3hT5j0x5-$oB2J51N^yD= ziApk7%K2jnyE9~*FoCWR^s0sI3CWN}CIDTblIb)GtyZbkDYbf)S|ygt#wCJ5qfr_R zTZ&VW>6L|r-Logoy|nKNGPIryuO}lK$fza^w63e;aC6In;~j^O!)lJBjsd8s#~(dL zKHT1W3^{t7AZjD3P3zpD|LpR`IM{ynZBb)An)c&Ha z<`*rE2adPbG{KKG;A`vYHTB&`>uHA@NC#VqH5htZcMpc$jiKT?FpxS->tRag5f-$j z4_3p59qol3VFPTyALD>4KI(gLN14d`dl3f)5QoQ+HRGtdA#^PlTicJX>mxVx(T;P; z#|QC^Bj|b&`j`fP%uG1uAl19cjeg4U5UnZ7tWWkF%W#_V+}6qA&K*7bx%k9;E1CD# zlOJq_KHT=cb3*gR%;?Jn#+#Fzcc({g%nPnh@!u)(FK5PI2y&jZQBG@ayJCgkvMgv_ z7Pha5I+w*=ixSwP6tN&h&PmWSVgMDmDKLa-F?m)-n^!PaRJ1h>bwfkm&{9BAR8av& zPhB_AHcgBzGjqq>y=P%nY0-V!#yn$ZJZNK_1zo{-7!3UpJMB>i`3V>CaX0aC7x_^a z?J*bqF&E=;7xPIE^Fo02T%_k$;htv$%nLsH1rOuAyZgM8eZj##Z)ZPk>pgGldB)NG ztP}XI&3rzz;hi`M zELkLJ*V2q@>F(-q`7?)z?m%`PG2k;a>_6 zUk;%zN6>G@uy4ol?<9%WQ{)fR)SDUlr&-1q+3wFXtQ(o`chk(bQjE7!%qvMckhj1v zuBI5*Gt7?wR}^|aE%tm~WPMp;eO>DP-6R{x7e&Ao?2mJtj|j9N z^ydeZ-|i~@x*`Aj3Hg7m2>!7={Ey|ne=HCF{lwVcP6+?Dt@_(Z)88I)fBT^OkEh+g zd%*SavhM8y|J88cOMdomoISq+{%^fwPlQ#Eq-!msb#ywMCrG=Hk!g678xwyDoS_apTlvY+JSJ%pG>yv;bz-&xzY!tz4mNvIa8(Wjr2^f{t zwaVJ+)W$lX1+W~kvopK9H?w9 zs<3^guywk)b+Wj*UE16%udi3uPfV{Z&#W%Yt<26XlxJu1Gv(BDFSBD|KUpe0sKT-cHjwf;|6 zbYJN2CoA zNqt1x7?Cx_WgTfbGA}01no4C& zwj_-g_~HDBFVA%rdaVVfF;CTHDVhvbo1*EGbX|g>k9X@63|)k(4v-XXiptZi3$V@M zQFlrjDeH1eip12IH`QzMbF9H3cVax09}DJ&eCYvKV#J%~2Xc~7Nfa*e!^P1^VJKYT z2IkrRm45HSfO~4lRT6p1>OjR3p0WkXc2CjiEJUJHh0?;@!inF;pg+!a!3PX$linVWujqRHdCH zwqnPOh<+`4z(nPFIPy48lhzqCUVAp-NtOcPg@|W1?3xU^vOZ_V>&UunIj6;@GYko} zuzqC=OVU8&)ewfr6uOoPFSF|xhMU(!kR3H@O^#iZ5T^L#87Xy6O&EB=47?mN1%`cU-!U-z!{?s+HY5)x*{)7-n&tY)is z_a@1aB%SY9QS;9mrZZrXJnh)P-xpqHD15W9YVrpbZZ+pZM3hWB*cD`@`CnBPSup zs^Euy)cN3ps0R)se{>vqr~z{vNob+cP)rJ%h;Bo-Rim1!@GVuewkl@F5x^BJXcepT zSP%AO&wW=Mp}-%cLm%veKQxM{8tptfh&&3q0(-m{a0Q{Z4_7;YsUGS)F^)VTLZ47$ zPtJ5z8@g-E_&OW0#zj8qqn!vct0R5&@xi8&l=PIHe{<1xXVvz`hUM+T+?{pVwS}>t z#i-Yly{|70zq7)9YmxJMl6@;O_L7tJv>ty(4&N4b6en6TV+|QjQ|91c#X7HJoex

w)9QnM3 za?wtG&P{vHMSaFjzF;9;0HiU;xM=LXXz07B@4q7a``IP|tOsAoF^FaXmo0;iug2fxvhZbOrVOIPJp(?c)UX(SgqKCZqLRz4fh z{M4s=$z!`B{#SKKLI=ATl=w{N2B}aW2c^q?>~{)e=N0sZsF7;OQ#-Q-aoy%x1ZVF zUEiv#l?!XY-;jSr|``{`J&s4jI*Y4%D9b5$39+H2nCOP__9lS6sMTVsSU=Se* z9BBG`SG3%DDJp?SC9wVEeOJ8k%7Y;RIsncWZT3u6d-y=L9znfd*cKE4n87C`#042? zSwWtc;bT%P@Mk-vggF^QD<9HLO953F9C4dJ?u{nG3rSC6!4h7Y4J@mCOJdLBq-%cE z7VkHOS%yHL*+1m)k9qtYe_$dMoD2uq?$EF~G&ma`nu(0eL`QYeAx&^VLi`nT|THp)~%~*!?wlRx$ z!WH2afNAE?9nHOjj3@{N@z(5 z4ROJAM4%37Eh$@QEtD>Ll6hM=YxHGwzBRRXRq9!0TjGovf0xREQ8>^t2U_armbyq1 zFBNo!pR5QFRY9yK*f|}5>H_U*U#r5?CUqmk-Y%gJ&-Y;YHl$zLdOKo7PW|>MIT|P~fYDr=ZNd$~KvRIFwnnjOlU_J8AUJY)obqKc1YO~<$#^Jz++JimFDh{dU zm7m;q#geN-!9q!?9TIYrs;7B&q}en9u%W{-33Kr}-IH(+;ED;TdmL~D!pVW#IUQC` zi-p@{<{r3$+hOLQ%wu@V7{SUx+r}Zb$qow-X`aHFr|{-UjAa6TfC`9d9Ae}`XW9Rp zw+XmHL_R8~)M}{B3R<&}-Y`zD5pvPG*>P9I=8E_%Zm-_t)oNztBA$>7xPl3u2RS%i zp%C$;623&rm&kwwV)3L%z!6T4s1!WooXq8$iKUaPTc;~e-ggBSQIAH{qB?63$m(|Z zkp}3GPPYG`7Wt!k9C(}Zw%%IkNJA&L8Nq2lu`Zw@4=&-7jh+|c-!#{%j=t0PXharbfK&l$y z)t#6YG66xyA&8yL*w&NSrYcfv6|3V&AM7Cbk-pBVe)REy?vwppCwkFGS)GS^;Scr0 z4-dhQ3?h#7BdU5kt9nsK0b29{&*?rffH^*hI>tdA6`+qQz*8Z|4ftvcsm@NSb&+bl z&QImGn#C3-XX|GA&^Zh-QB zfc}1v`A&%SR=D>ypb+b|5aabA?e!q_%@FzRFzFXj^80b}2MNmE1o^`_>7xYs(-ak; z#TWC;Pv==50klZ4-ixz-5oP{+xaSRj->dF{Ti)TD0rrjX_|+iyW$(yOT>~$;#$NXD zuXq)=LaH~C%6HPrPfCX0KJ5O>v$1cV4gc|?_jl**e>i9O^SPBTfyS0|vT+LNha^Q`z3w+}haO z-q_m8Y;9+@c7WD_Hn)LROFJvYo#n#TO1`|DE3V`UEBWGTp}0~gEf-4ZVrj8hTF4hu zxk56RPh@kkY(5HW=+FAmkQd}(L4_4J!Ppz$_Ru&UW$@qLUnhb^F{y@|l3EShrxs-o8;Z?_6 z@~A@`vQ7m|9G_v>H{0*mv3weuPet}A2!0tZAn6K-FhL3#p$pMK7AyE+!Gy)_Bf*p+af`q>>1SEw9W$>V)GoVBU70A#*VL4bt z-U)~zEJcLDg}=bHzkv7A`TpsOxEKm_DpC6nR|F+!@a&1WEhugXi5o-W=CHUGcx_0E z4arDx1$j|TUei+2YSO%t7?%?~@*bmNOsNp4by}^-GUN2mc_X$!(j8f_gqCLfODb<# z?4IX26Ks2A)Dj$?^9>t49IKz_3JLv@DPL&97vOk&V>aKY(K|Nl=g)cTvxdj4p)pH{Z4Ql@LnG$!uq8ZT3NZ}gK~d~GAJm^O!^ zD!WT;bqTEANlSnW{1#hm#FiYhC%Mif&zgH*>6jPUA>0Mn<)vQFV}KOvoH*ZD2#;S{GYa`Ex5m^RmdgECO$omg=92QuP7Cw5Ln$ zLMt3Ng_{iiks*pAOjbmQiZE6g=u~;3YByBvfvG)kr3WeTV5huYlWxqE9VIX$g+`>n zfD+821v6cu8N6hcAk&lNda6=SQ34w?1nD$hGK~}Kx~_mot7WX&!fv&4+N>Oim5s2nu{I!1rwv@04P4;D0$v+}F;5~*<1iB!ItRpo z>DjQE(SNRAA)%j;&`wBcwQ^d6nAX6f)v;+c0yc6+JL(C{dP7d9$7ivIXLV+!R3sYj z5p#Rx6T@mAS0$K`gRYp8e(ws2WJ)ZU5KVEF@~K(9)Z$c!<|E6Moz3(2&x4?lP4Lb- zXlG3u@_0k%L)C}}j>7+?y8D58>YW0V0dW>w&~>?z>q^j#P2! zaNb_wzqP`9b9MZ+754QA<0S|7(oFlqqPEId%L=n4-QTt_(lO70EKWg|MIEcMjtwEA zz(bcOx=It>rOB=$50?|-Gg9K3g0!IkL_sO4s5vENLrDh8swp`Qt)Qh9)YPJiTv8D? zRm3eNepi9tQ{eXH-TShxJsEaKhS`;4PiY8`%uvqhsQ@j`=?RbNiGU~`(^DTe(w;C< z&zq^BE3D*;cG4v~`J#<_(aN}J?R~~N{H&GxoMrqu3+Fit`&rB2MGNDCg?Q0IIG_dT zc`NA!8|g(G>18|lvV(HfMZWGL-E{0$%BnumPFb&!*E)k(VMB;RmRZn>zp+|=71>Z=~|Z8zbTyX&S43%t(_@ZC^= zG+uM#-f$D&@=|{8qrVeiy%XwrC({3Ou%4fXneT*Yzlc!Zi;>??knSc(A0~-+lf)0= zg!f~3VEi~q{wziRY=QaN0_&57o{#5QAH*5J^Zz|adD};M(?xmRMSaZ$F28xpPQ7O7 zzC71?*#cmx|AwFUT2%1%0{@q5{7<(uzkSsC&9ljGevmE-))!^oSNpSnc-Z@SdG5Wm z>dny94cFL9)}CjK)F&(hXPpzfK3OSjT}#H7(%IFuQZBb$EbbSId->vSuCQCE>=(CA zm3K~;clS$RdqCyA{mR~{@-DD{zqGwysGQ1`_BRT3(2PA+6OCI!A${1d4!b2GJ1=PF1ogwg>As+v8I)6k5`0*M4fBzaNmyi}BRbv| z<+emQO;Juml-mf55iU?;WV|sl(G;C*it(CaQ_WF+3s8jL5*D@sMMQ03AaPq*a*(tw zBy9`IJA6v0SB>y!I=$*npQ_WRMEDhmfE*E$10Fcw#DORPlK@be^-kXV|7z=<7n4Fr zQVcnhxIe$*jVllO73h$nGa`q?V1bXZC7t7vfzHLas==&9>E+Omee zsABq6Y=crPRqEukMwP{)bvtI<0fRef_AKk%%L;c|L zg*T!OCB(kSgwsE2bB~%_Y`t?*@7CBtE>9}rU-UV`jyacU);>M!lj7auBw3uIh|-lIhBClV z_!%uaU_dS)%1oKN^dfjN&)Y4h+5Zmu!JwxmYw zD;($2xO;KRn;dt=#%$3cQ@BqbVroNFRfwhvG1Os}I^3g;^yea;t zXXi)fmIr6jy_!X)VsS{j$emphn9}2x#ZlXQzb#Ii3*u%x7>xs`_EOYgx++cqQpAb! zC|2f2$XqbF9ieifwQj7&i;;LRlWsKEh2}X>0$ZoR44u?>a5e256=Ylu=V_4uFr)^e za*m`n;g!a2Iq+}>Bc4Wyw6IB4^QgSKS6tmAsUJ|ajOd^vv*@82!hmj&Ym~|zwz;6g z7B<;KGp?ZC9yDA0cB4Fw__)(kgzOkL)`zrFVPae@v-8J@j{il){%DML@*l2(C(>4yZ@!(b-!aM<=8;2S>Py-ug7=zD_!gNFbyg!JXStDiENEkI@dhHag zmP@N0q15t6I%iY^K94f!H+wxkmosTHxHNLPcw#`z?U#*@C?>cH{)9|4DU(h~WkB~_ zA&?0968@AzCYaWV^=6qb5m+i$ww`+a{(76p`VM4GEAnJh=dn8ELnn|AR3ZQG6Zi*e zXg_Y~uYylB5aclC43;Q`p~ssb{U=)~hZ->dRtx)I&BzC!*dr)>4W80OWkP5yC=z$F z0s3#pn*Ya1$iLL0epugisJ^?ZuKRcm_QWyxvBRxZhZ?I+G@Yn#u4!v+KtWrG$POy9 zoeZldwH>Fl9$`U_48RW$cY*=Z8v-_vRU@dQBdBBd8bTf$Kvea@kMzJmRP?|P^&$@U zBaZ-_7{q`LV2+Go4)ZXFB6LwmilhWWKHo0*vF-FVkXlq5-y02(|R0ln8 zLY$w&K4~O9X#hTRna?^|FZfwkB15;5oHx@`Z>;d%SmV9EK5;$9deMowq-%ay*jyfN zUZFLods~-=I~F<6G_PYt*tRBV-4H+vlgQFIraXbI@Vd%^?z|YEkrCFFq^y!$P=T%h z#+-_rQ&9>UYDr5gPt(d8N?Ap!C<&Vi{Fc0XTi&%R!vdn%lVWzH=q)LF=bkHOspkx| za|S>cB=EomfC>Zs2_xgYiT;$C{&49i(e6(sdW{ri*afg}>*DYYx=+ zw7}jxxH9yX9}orMIv@%#(lsyjnumVXO*@Es%}u-Eq2KZ{fNuNfuli`WJ>*+%;N1YC zfYUaBZaT2How(Or#5X*Yw|w+}2VK$o%V__5vHtg>J->`H-;2`k#%UiVsUIgPfFeFl zl0Hfh@5YJm#|R(9h`|0&=NX?ZvOZht`FyGOlLgiX3BVzwcY^qLeBJN3yMFHMdfVRh zmaY4B3+h!9g|-^7wM_@Gn1cfs($;3D;ECz!onYaw(#|H z{=YqG_o)J3^2DEt{6FNyzst#gpBMh2F#gBV$baPeK3}JOxJ>-A$o>7P znXjJ+ezj}=G&}ptl#?I-@?NjB-sZ!}wp|GDV?5^jx z09vd8w8)iLbEV~6F`X?eZsg}P+0~2ZbbH0cpEm4)LjAUKPxz zg!vROzZ@2j!-6tcND4bRMgff;hyo}ExZ?YHn=N-|VajBe8i@uE4B6Y7E6S-k{Xs=38tcvrRH* zQ=6PlS7<&ozY$BX1Y(O$Z_MI!nS6RfST-A*oQV(W61}sjA@dU3u{vg7>79v_BtE>* zMLwVfP3t46T{xw^Tj9hj{6s~RtcX#S5xOeOPz9Mve~-e;)`jJc1#@J>m&(N#H_|Ja zY$mf+*f_J9-7c(dtj?!WQCA?KwRt9I9PC;D$XsH`vNCEHH^!2FxJ?dbuCe)(|GPOavHbB(|$QtmN30V`SXyR1OJXx6{%8~?0f~iOjYg6O; zd5&owaK)e_#V|$ivtBe{A+?{Nj*?YLk|IHrCGgTHR_aGeoCv8ErL<$U&MvJBEpZ_x zop6o=F=RHLqIU+7a4r=8Lvj;85diL z+?mEcc^iEaLmZ@GsUj-QHH6IaA$dW2j^C1$}cI8Y}C=H!A`g*!lIKx|xyWun78 z(Q$C@17ZMO0XMJ_v!ig`f4iTlvZqeQsueS91dQqlS~Z(eGeoN84I*^19 zuh+d`o%2mARN{#tF?UcpJ}RH!%BLpe2d#qG^NJ6ZI?> z3!CSkx#x;jSXB$+XfyIyGwN79>PR)}$H!0)9P9ewQNoXoQXXpTKMCWsbn)RxP8)Qf zp@n|3iEyMI^I$FFe>bBZf?$s#@ikqPMk2GF%<4cAYnqWiu7>_=UFQS!n1>p=s~Wq( zYg8M%>grK-weZ?HNL@3e0Rm}4!kTfNEi`m13)8|v*0B)Bd*D@l@FN3=LxTqmz=085 z%i_P&;+`w|;2M;(oU;)k{exwCRcZJ zl-|5N++60j?91C9oq;`VK|XEnetM4ll#zK6aD{{UQ!nG?VBhuF$ek4T&LZ#5vf$3D z_?2+~GZxG_W&JL%K0i>mOs!k%Y03<>W;q?;)J@>OF@9r)*P0oJWVndzBr?y((f3E&fO!p4CsUUlJL_mJN7Qs4G7ejZ}I8|is3-t&H<=lwYI{W$&oIPGqN z_F)pB#X$+M4}qOA+DCE5Cn?tF3w>WK^?#o3`#jzI$s+TEB<0;0{ud$aF9YcJJjh?V zJKuG7zGFxJyB+bC9r}j7?JXbf=kd{Zm(}mBY2IIxf3Pn4yrlX4Df?fZi2n6r;@h7j zzj-P7?Q`Dmp3?u;UGs0s`Y&?YPgWJbn4h{69lh-Bxn%Eq*w|mz4W;$MpmEk|^TxvStIN4^ zVYgh`uar+$DyKm+RQ8LNz0&4hd26?_y;s@U+uYsX+yNh!Dm%r}PO-QP9^xqM#6_)1DRe=JUeXd4rU|KOe0&<0njtJ1iECz3!qDrPX3r^w z8l_gGvT{{H&a{_3>txSa$BizY(JL?nrc8dG)j#R<@qHm-I3|fF<*}qXl9&!B48e#c z5OnyxcCW+cw%D9Tm(%QV*+L%IQXrI%rnVF5twgF4ixtD+Wq&m0j=StJohc-k@o{us z?p$!(7Gv9DgN7he<6)@Wy&C_ZE)3M8_EQxuvcg4C`6${TRU4vegEUQ$p$V`w{$7ob zV~EIIi>6rCmCE{4tC9Jo^y*5vlzaG8Wp_KD*+?fAV)j5lWpi_;ZG&1@uP(@#jrSRo zW2Pj}nwm7l#|;toOn|LBXgV;a3yw^K4NM1mw0^qQPu2QKT0a4#MUbQklQa>MIzm>3 zDF;V3`m~Xu>BxXS+CLZTvBW5bP?yfvsrDe10hA(wmc=pB7*-s`io#g2A1ifYWLAvA zictZ&u)xID)+t-_gspwj2IJWflNRXsTnER{&elUXdMH;9o0x_3^l(1V43swwnN$Ou zfK6!;d>w2`*EX(e8k?>ko~|9#*7Q%;_Gue?RIN+}s$WeTn;n}nu|?(~vAI`j>KD(A z2#g$_fyJIi4JqnbVhEi}r1TFHDQXrjFp4Y)AVpzEp5K<8Y6Xn3!SBonFl$0|T8Lf{ zqO(Hmt`K)lNZ1&|_?U1tu5}z+%|JhdLH#Qe|Ij!CaK-)WK_dEk0R<{yb}0MXXGS0< z4$M9YzuyGh1~d+{j>9ZmsF@8hf3FM6XuEZ+!#W1B0g&K89bA}m9GunZ1P^h53s#u8 zZAMP3k<)JEbQn2MBL{Bebb_=Pf&MpF)Pt^I)ClM`6SSH!a?K#IcA^ia7Sim-36Epi z>vH=%3sw{83eotGh%+GNjw&X`6;qRP5l=4r|G7dal*@!FjZiZya)n*<`CR$&`|Ehu zwLj1R`*9QUNDJn81LkNg`tS+#kB^{#^dt0x{~P^46|t(0QQO|%(#mRVqSn?EPtRn>t0aUvE_lag)bqlVpwX3NO z+tQ9{gP__wQSBI1J08_W#kBNbn+LiZ2eCE7UB^c-RYSW4iv00&Qq z3?I;97SS(9t3Eu^|lb^5espV?f-lV}hebIuuXr^2+F`uzApS9C};-+_$PbrTZ>5m(F9@h^7Jz*Stat^5XNfYBq6X~fr(gh>sqMmw5PkzQg zde%t%sTuz>TlZxLcrnOTC+fPZ^STRu-3hzqfB>|(=0sn2VXwRKH{Fz*ZpL*t^Qwz^ z*~Pl-WL$Pqueiv7D*#d4^fPV+7_SDIcY@4U0a|!zw>*@aF2W5*_W>$U_g&%ay5l0e z;ibIgqy0R{{6)Cum$9Drlgzs*#s^9I2T9ro3F_S>?QW9sVFHNxQM~74u-=d2eV-)y zKbs%?VsZG(^zawU179rneX_*7J5PEy-t}$-^+6Evp$~f31Np!OdCv)X*A02s1O0^` z`d*xRcZL5+$qMvQcINJy;`6-j4?DK+9u9tYKJvF`qknxV_Sc`d|9)Zi?~jT9>rvT% zJ)->k!`g3m<$oyhf3wc{)%wVn>jQu&KHup7Y-8}#%<$(M8-6ZrSe{(u#?Sg z<_p`!@^)!+2h_#ZZh32`P~OTFD%o5mm)`x+4awD6} zWaDd@=;~T{Wfds242;0`dU$msyq1lu=c1WBc(~)BD0tjsGoIUx6;8*CXA0(X=?xvcPLyAyukh6YkM?8Pm32t*w9BI;^#f>dhRpdBR~9hyAL>ls>a= zTwgb>ty`DZ9f^cH==FQdQIBE4JG1JY-Ut};VOu%s-id`yCz6lMFFlrCdSW&G#Ol(i z#l=c|ekB<5+I_lNi+FmDZ?H~UoLsAW%;Xw0xCZqe@cyKR`1ovML=*0ldzo?%L+hpM zeKdoQHshmB`x(>zo@syIOn_^S%DhX)c-EH6IO0pLXe^#yEL8H3KDNJqW-C)%i!LQB z!Jy3Q8qu12R933Wg;)9Ln$VCgHmOfd&c-Ko;R&surwa)5A(1g8FoY-d!SUI^$c(>l z+DF&=s9GOs+Kg<=OW7@ z2v9-Lk)3MK3E+7VIxp$okaVp|&`V-;PK?=;bf1$D*2hpTdWQ_tz`>kkVh`i7KkOwQ zo@5@s^8EdEvBLUlKDkXyZ;HtEM&jco8eOpRj=l8Bq z-FHRpeOHib2Jkgp7DUb?&1pyNW~JK!$aleZ;0hskNXQ0Vp`097@+TGIDY=|4mkDI| zTp<-o#rIvIPzzN$p(Ef(W;4Y{@85TxuPs_}aSe>N@Q4TGY`xWK|RTcsuqa3|HGpZa~wUF{~B@wZ5Hr zvKe=@33sdscf1LAq6JsmhHL1+HN$Z2op>k)2gl){q;4p!yMxu;(vNE#!qtxAPjU&z zIQSzYn8Smehx*}Q2dFqQ*je=tR171J0|B%cL>wIiuLn6cfI2paIyQs`L~(osdwdkA z>-c!rF=6*n1+EHkg^^qXxWYkhaNrvpUG*VK{bGN8ZoGa+()y?le$j@xWW`^!kT04T zmn^hrZItI6q!&E2SNyDNq5f-8&eeqIN>cHRd-zd(*QTT)$E{uNJ2_82zQU-<^)-}- znoFaNMRr|*TeHEbTVXdWahjHS?JGjqsuZ;*?^;t5Gb&0!NvtSwyUOlUD*RbB;ZY6g z@oCC=9S!K5mV8!4+*9H<<=BE0m6f7$a&%6KDX6h!P1lwd2i}Qnns7!3-ihpyS;C`w z{5d`GF+JsRJ>y9u>nT(31xw!rYwrac^MZ}`w3YIt89)X3F$49So^fur_c49nbvUfzv^OLb3&|HhBLzFP8oG`(O^8gRsd+RRo>s( zI#Vw0<+59uOgWd^EEKm(m7Oxs=1!@yl`m8>+2VSpn9Xh$@;k-+Za%jSJQ;YH&EE3{ z&?Z=6Ghf`ym$nM!?IQ5nt-bR0et8G@@_D+vbGo#1s0mRF-dX<%H7u4H1X8}YSlVm+70o%r&HU&k4_~kdx`RHqO_eXZYB#A z@Uq!LIZ-IaH!{(+bR?Y$FUEtZNFW~Yhdn;O-Rm)VowGih+GmmbO`?EtDx@C|&x}R1 zLs4~KM9B=xsbMK8EGC3SxTpY=nnEm1LY61nmnS>YJZPE+TbhC|PQe$Z5UHuo1RojW zBf|hi_?-bhLgl{iipD!HdL$6H6jGl5-W9L>Ferq96Gs78Og1Nku#~cUah9<(OJ1JA zuIS)tJ!;3ycDICrm`?p<{q_aKxY~@&atf~ zLBOY&PwCb(`qj+ba>lZ_=8DAven;G;U-RiJVg2ct;Y`AOHfet(!rt{OM1FV@~-)wNq6cacX)WOy1U|Q!(%(#QDSaK{jUOVju%+5mAnNYwgC8ZSxXrcS$IbEbL-IDZ20Af|;LUYTS&)1OY{K3$ zYO3wi*Yr%+_NeQ770o@ec9smzl)_n3C`;1OBY`j_aJsmYDuz-8%`{#ujf-Lo4fZfp zeFWzSW?=$R5p`5RS3t83Agg#wkd?2-wBKWEv&o) zR~*d1G;<*q&b^>k@X!R*HVy-_Prw|La3|o9Nw^twMYDdi$pE?nyu8#jjxbLkP25i7 z*gsvNWYx)-_gqmsNv&m*Y6tN(9A>+Oi=R;pSo9K?%@*)4*e!n06`VoP72{*d$qA)^ zr<6=709VKbGCAl9nN%PX3*{oALMl)w1xhX7=Cj4u*YXeFzfXD#`oXrYLlFEiD5<6$ zU)|h&vL1W<1hVQdcm>BpRfuCJF|`f2ruwdidTf0?rmh}cU57kT-+8f2@NnpGm_NaMTQc{a54!>BSKh&wqAVG z0KRS*e{zg?e4JD@PCU%U9T`Sf4WX)rQAdYS$A$qgppTEBPk^EBcTX1}Fi=3ibHJyK zU;tE{80$L0?mjVrJ1)c>Q{avQt}u|QZPYqDsm_kCvtw%mq}o((?K-=5Q`GW^7Jku+ zy=28*G?OmQQ7@Xv&sd1h+VDShl3(`FulRd@<{Ns!%YM!?ao*PV=p24u2g~wX=LhQp zUUQVjW2)i=E zDJAi&hV;GxR@Ma@<0%XMNi+5FInWi4 z>FMY6tj7(#PtFZIWgfm@9lGQgeAd3coe_gbVEaK)=Z=50Uyrk8pHaD|(A(~ZC7!QJ+Bzv=2S(+9YM_I7~z zbAT2R=6i7lK#POp74-W@E$-6-i1AT^^>M22llg(q7KXl98u>Ck_GNnX^QGZWm-;_i z=y^X$dpAbT-7-{-sTyLrPq zY59k%s;_dh-)>s}cGmsf(}BOg1h~TUw~NNVJfZl@W6HlgqW2LSsUvKjNRN(xf z!2WHK{hJc|KPr>I-4gzONBaA+_;-21Z`XOh%TE2S!2fMY@MT%@aYgZqlJe!~Te*BW zlPRpP=d&B-LVl}Q0BG^wD(sYs-&guR;N|7ra%H!&xmVfTuWX$H#xhW4|NaS=@_wPT zn=ftWiksPDAVDja)TyZ5^NN?nqGP%X|?85zW3z_^v23&k&DO*nGfGW#*u%%pO zK37R*E6H3rkq3lON|s8=aw%CUB`T$Or4-vNMJwfKxe_UFhRa*w(pCs;Gkm`aP^eT6 z7YgBAHoTDuXV$~(tKrq<$jVYQy$}O$eG*HgLaC%b6?e}^?F(V^LeRMAn^|;g7M#j? zyEJ7Lr7VJ!i8pT;Uz{0P()6X(tR)q5QOTHB(2{aWTuO{e@L_RxP=xUdP(FUAXA16_ zf+}3&|5z8x&u{nhJGNurp9gv6hv4*15hN;TkMUaL0%%-aj?{LJ!(sj+R>x-^l9A#v#uedYt$NKyW`{j z#VKz}?24{yN9KKxC;d+){1+0z^9zwDmgA4D zCeEcJk1PaFC48ljYsKq`yX`)o(;D>5hJ329UmOlj1;XRb=$I)!G#eYxgnQ+|UWKn$ z>*_PudkqfOtd~9=qH80J=?F^~>7R)VgI8_DCyWuEAuy$Ps~uryBAv>X;_C(P!m25p zQaHn0y_YGsQROZ`6huveqK(rvF_tFMuLE8lVVj~{b7aCAnX-i^EFtb(fNk&(&-nYN z{VcVgsSYsILApA`)C5@?e~$+EW88gON59tEKjY{#xclb3eI|deInZkf^_asfbC_w0 zFia8pT!e0nFpLoeRQ>JFVy-DC|=6l*F9ZR&d^h5~yuV)4|cfCJcZp&_ZYDl%t((X&f}x_0QA|XzB-) zjRT67K1F+vyuIgO>;;ctK$r>`L)k%>w9t9=^wDl+54V?O97G4k5a~%sMc7srb`%8g zEFYN@p$ii5b__WgW?h0@7Q=Fq&TR?$jI?WU1Tsggn}AfY(MN}g#|D_kC;LyzM`~`o zc;6NCmXk_Wo4UUZK!u(SnHz^%crXhOZk>YL_y}MG9-1eirU~dAcuQ08a#70!)H(qJ zvQ5J7ZGekt9qa`509nSt^B{AaRui|~#06dgGf&)e1;Q`}{h$Aww^=Kt*GlNMB6{5v zt)5G+8zI(lnH?f_w?@L6(+Qk5YcROzum`498X;#`$R3nUuvJr&D&aj>2tZfJ?z=)R z5h}zYg;c0e@D=JQi^mdOO>dlj_#6xh>(N4egJyz9r z^f>fn4WhmQ-Q0j`0z)=7AnWQoYZ^LFHla?oqN>}mpd8w$&FzfVHhN1dqp5|~&_tAu9IBciAnr%5$>2A ze^g62t|wJnDYaHojTKjI#Z>!<)d^Ph@0oAI<0H7>`=W4_onB86q~)Yy;jCcfx`_Zo?dp(QC6KO}qTo zZC>N%cukpmqA*#rF;%}NXkHZ|R;2hQxU3YHlM@O`Qbj}A0lYCsJ2gk%ndz!%5M>o~Qvu(S!*=AzT_yIE zig*Tit64xMedkU6Pg#1Owy~bFFrPHjKvx(kj~Qs^^o%Fwdd`~%FWN?*agIIjVZZ2S zKkpuV*2cVKB0XawK4&KU#6oz%N_fdec*Q}u>?B-q;;*{E>qakIyI!$iF59}V+VIyL zq#G{UEe`;OzFPn%d;_<9gLguMug3=8N)EoA9C|AOH26lW|4z8)c7SoqN4w#n0Is;{ zCEfNBU-gq-^Aq0)klqZC!F-g1Xm9x$Z~GbVgc$Ee8SjCUEAHunaexZS2TAG&2`Vst zn52I^-}C8W|7S}>U!+IATps%(J^I<=$j1u0h@6f2)jtyE*ZvE#B|9`Tw~m`O|6DHxKK+*;Ra9 z7JZ!^|6_jq_j%4&1@5mmMPKY{KHSq^O$pB#2i7MEratUwcP9>s93LJrYG&iX=<34S zW_D|T^Xz7RFQ2*ZisFGQ08~`U01~!xxiWzLwYA*FMyZgm6ahaJcFTpmN^!qZ+TSeg zZ102iX9MSyddSNS5+y>ex?rfBRcGrrV>3nH1o14#WB(v*@ zjnzbUC7xZ5W|za+n+NQ{M8FH$9b2Z)MY8 z-VByE0dho2;Pol7%2u+nwNL>scU|7BtX0aHN+DCq0>a8JMX5P{!Y~ohjRv*-ekH>rC%dFLhX~`~cRHqk?{pn9 z`~7vin{K@j>m&S#>|Clc<5Q@;I0 z|Jeo4qw~&lNypiQ>r~vkneeYBg7H+yGaoiBMm6cUIF;b|Vtv3z^Gukj2{9F+UZuZZ z>l~W349wbkXS{T6l%|Q(wQ+_vPE&`e@&Hxhp-G%fiKAC)B0%_I% z%hr7dw{;(gzW?Xl*?ITfyZd%iY_Y40y%+S(UI3yIjp&6WND#gE-q_JQ*r{G^Cw6Q} zc9OO1xFjx;<(j&id$SvF;v}-IymLsU+?hA?9n2v_ilj#-KKz|uF^5=c@A!-z!!x3Q z_ml>(^Q#zn6glIEOP!cG_n^ubE-BB~q{i}o?OV`SDjBykRlf!rfv z_n6c*A#;&t97LIULZTZNtH5 z0-%ND?2zQ#khEb)(ljh-9FjE+%`^|n8~cUz1jbqXIBEdL9)X%BTK(jvwW-D&yFSZl zPH{To?7jpSlHwn^qGyBGzQS!va@z{L&TU>#aJ*q2Rx?@u&B^X#6l@K3>?CjU)GY1P zz1x4;Z&QDKZnSBh2+pnqP@$S?Qv;A-wrN;xT2{LnJbI>Ok>0#W15*HCm}=27+H`_|$iqFZOG%z(7O7b zx-%WMCt7Oi8fs3qoH)~droOAOzN?`DsJp(Q`)qypsfO+oO+6=?`%bh%PPQP?WBA4i>^UO(Bneqd zMpn{L#~7HW80e>Ih)Oc7dJ!y&$*@!wWyhaGCl!30ORbx(QkVmelu_9``_?qZwZF=g=o}~4ry6>h6 zdQ%Czp@839gx*^0dq&ywyax7?0sV>@|GW-=eGzvshrOW0UesYOn9wO%ub0}Y#-E*q z*74gaI1S%g?5lG3pV*i@lbAe_o~+4|tJ2h(6umCNJRM`Vu1`bOx#%Pplbgnrc$iHQ zc3X7a=;b%zqq13D{jdN zTXKSyya3QePgw-tkzx+!`Y$bv9F9ng+|-Q#R=K7oTv1^!E3uar!6hVDlmIqHZ|RBO zF_B-e(r!DaUbKJKDdGud*0bBWJ-`*|STVkyPbG?(R4JD!=dxhgOfi+r#Wqp^ zEfSzB3fVOHr}@lQA+ue~?f{i?hvk7s;F&{6WH$5Zat?UU)RTZW3+c@w@F7nEJ`kYD zRw-XDFI?66r!5yeP%fiW{kN@ykGUiMp;Jcfu%8*-@pR=LM0aq4(B71N@inC0W9nIV%D zZxW%+0))uMeKK$J_1m7Q4j;XJ$93xOT+!+S;IpCV9Bw&k+RnZosSB_N0frriEh>l`kV^{C#2@eAbCodI$BvA%lO|;2Y68^RBuM5Eo_$;K60Lz3B0 zoNmZ-ThrX`#563)gMr69386`TcZ}Dz#%+jmn={kx1x}}X_^hEPIf;<$JcTu z&q}Cg7N*X;cISyJHcYjOiKazxq@wNrKn1%U2)I@rx#Ex(N_w-J(W+y27&x6r>De7x z=Fxygi+TzObcJ@RRX5e5pK8&8#%Ke##-f9+P=T)a+d5ML9vrXW<4^GkXQuII8MreP z%o$pL6KlMiM?=hssCuo+<6E{^-19SY9NOeGl?b>(2DoCH3AjQGx`G9|g2y~`#k7>i z6Z5Bq0v2D$Q0f<*(co&i{A8Ue;@fTTr`ljow?QjfdMg^cD(l;;>RYPMHrJeOtZQsN z-P+mE+1uLL*U|+90cz@m)OSM8c0tc}!_W30&UT|3yRofZ`1US5@YvjmZ|FduYD3ht z!z+7HH3;l+EdFFa;q(aM>^R{Z5r1|P_;#?Tspu1QBp`um2C|ZgJjOsAqrxgDp;aVk z%_OXr4AP#YVM0jZ@x>i|X2V0ARW60o`{_;CjO1PgJJjXpJvJq*O zCIMHxU!*94o-tdgR=^guVVEo z5X5{CKz$HEe&9y}!1y?X`!q7}S#)3{HIDAAjHa>F%+G_UpZXA=x#2(cz<%L_{aXeI-{6{<7$J?B*cX*HXgn!(Z{OQ8X zmsjLpT~~Z{QTo*$=c_XHQHk=$!sPGslmAg-|NExo)3W?-kiD}o9H2ra*j8N2speC4 z1UQUCp{i#WycSn{DZZK6E~GXy@lrBYOead2-almJ(xQ~6{f3!nl3Mkame3NU~T z03JYH6taiI6o;Y!Igu)5Q^icOkVzEMi9GNKluefMsd6#B1yo9Jmohsgz!iW%vSqLw zIHqxkip?yz@T8o|l#`iKB3%YJ5d#A*Hh~hEtweS^36$GOf$f6K$P|<5Ts)QDNG8^j zv6aO7a(p!!TMoxoLh+Sgd?k=r4<_TmR5F-OgF9ekazSw0a4>&1=L46rX1tk{CzbN1 zlDH7LU*1cB|b^h1)jku}C~dzE{VdThcvQXZqIn{fD

8cEj~t z&G;tduCYbisMKkD02`cW~M|pKd*Oa3@a9M z-0#b-t`?K2Gq%C&P6kQBu4_n>KQTK6y zR6QI;2SeUMl{HgkZS?t0=3*y9)kasgP?SyNg?jSLS+e--q~z@6Og%|nKQUWB3hteC zZb)=?WcKXXLjAC?kw9ri~G)cEx1N-{x)hpAz?<77d&g4b=1d>sk17RO~q#p^-7%&YI|z za*2Ai!WUS!*}aOndF~X2N1GH)Q4d|gknouz5lbj!^7%|I7jOkj%$uI!@g+R2kk97v z849h!9`Y?0@=sg={boz=H=4V@(bVyc#n&Hq+ z1grxI??fRwk%)E#q6Lm@0z)?hKF!0N5#Yi9Tq4|QA+k;gt&qT~ zbM$tTm!4oLaI%ODhImChp$|pJXz*7U!L#1y3luJzW2&}-?fFF8}r?_7CN5? zeor@`UbW%xSg_wQqOaO)%^F- z`hOC1e8YrzD%xKWAF0k0Yc?q-inRI+y*7C&CTmDgS zu7#WMh6f1$rW^Z)6a6Cx>UA69bt~d^GZ5-caGh!Yd(Of4+=K6VhVOfaJ_rnb6dL*{ zJaFWS2LZ$bKjMK820VTk#C#kgd=eh~G(7TYWa5)B>7yX=13&SBkNCh(y6-1H43It! zk9`&%`ZPT7iGSb|Pyc5g{Lg*Ze+!`hZF%^YDaJ2KvWI!`k7Mi~L@BRFY45BsK3eDe zsyO>!m&{*3ANuomeP2Ig`}&6d(UryDUz+*+JpYS*{-Ztq<6Zvaeeu`lWnW#G`}(r{ z@s0V%&nO;WlRUo2dAv{kdWZ7$Ci%GP|1uM3LJ|f$e0#J1pSPN;;iQ zrql6cGM0?3$Jf{58>@+RuvC04m0Hha)-&0)Z2n1^+~H24>E%>vDU}E(HvF+QUwp-% zTni>Q!kKtDmx>fKky1WVDn!b~aJdvJmx9G|pj7r2%bo(zrl+vwDeZboyPnd%ck{fz zydU1&UfwFNZWfnIg{5LXk_X_C4rP+TR6LYe1E>>O4@Xx6OUtgMutl9)I{LZV_|9uV z1u-x;yuH-%*ZnrZ?J}lY+}t)7ztcP29$+?yX^lR5my?M!vxii|soA+1zS_uMG*8K` zWSNaL`z(!iM7ba?%LXo`0}N-$lh{rdpWq3SlTLV6iV^6 zbj-85Y6vbV908HuHLbDnO*Wy!F7`U5;lRx5vM9PjbA^X>evI6W5IcLhwqC9k%C~^C zAH^1g$bt}>;d~$ylxKkRj7XsgBQfD*Cc=z)VAf2K8L?s=TA)S>GzftnE-;}b4&0n? zP!a8y2Qe}aN@#-%tq`HTS7e9GxDg8hlsZb#tqd79#!T^XV{AgdKA~A5s+J}e!+3(tQq|gV`$a1lyIzNH?oC;-O@7`i`REI zE|vpZ8T;z0#o{$CI7~AxkHixddsighkksQ5JDnVhi>7yzRPHf_b9l~4}ANBZ6i;u^ovb5_&Wft*NPV<>`hUVe7uEYfB0( zO3`Tv@RJ;q62OzZz67^3!E1?g8#XwNtMtYta+3yI%WC^)T-|>ocKiz)UniqB%4ug8 zX(#W!^goXN$;GXeD&jfiWD_{MlHRIef+H3B=??vL7m$wAp<#7snBWZ&AT6`q$mz21 zdu@U~AS=Jm!s`W?aYT#5DH%s=N!ksJHpAgu3pEW49I`lERI*6^n=599&d7$&NrxIF zLrucLMoxbNcvL#Bf!5zl8*CG?Ms%wAKzPOJ@+;>Rd?uYwr--I#G8P?h#o_!4ra%bp zy2+hp2)Haj6mvX*l*beDI9x7cLA7A@yQA6Ekt;g;zS+_Jjkb<|X>I-ImgaA?G=8(W z{@ZPh6&+1A-7P1e9cPd|jaX=VIb)1Jh&V$!Y zLu=T5m5kmB8su=i0#;3i*HGZKKxA0WB($0YshR}pt0Y6JsIVG3qLzWIVSeZCk z;51*H?Y%4q>bWxCeQmz$#(XE>iWk&~}2aYbNAjh$}`!QHffeLEEO0 zG-Q2i?YI8v>`MHtJ#fg0#`I2SovX#E4Cze%1xp`b_1{o7WVxqpx47?1WVgbE9 zkJ^zVx94CbS#Ms_nG<&vB#@#6xiy2|mk(cFBwkZb-qcZ^HBp~2l5XlpuW1KBS18fv z7m*j0=qqZ%b?xvi1Mxc++V|}27wzD!kQZ&kFWH9f*oN-fhh9GH6(H-t%Vxq|BkqnK zb6bmgNe#cPMcmaPUooJ5Xu;ld5Pswy1YGf!e*~OX5dvxPZe;xa(&Purl!q(y2g}s= zqfbUH-t-Os$TRRGPe0&_H{7@%IWe!6g$WNqS0L~E5bt~7?|YCB{Mf@aBLF-`KMsxqsCXCvL;<4WgCOO@Fzv$#^}{gn z!_eqQp|Oub#E(OipN7f5j1d1^J8PUp^Q7`Z?d@XB>}jn!dcQ`oq<^|GF&v!$skv^TNmb!apBK{(OGs&ll$&Uzz** z`rKEy=DxZv`sxbjtBbU+_bHFJCm)wdUzC}@DG5HyNndc&5;B5%qMHUk2RT=Hruy5^ zw&rm>UdUh>6`EyVw2&y~lK=@e0aO5@NX1J)=_H5;5E7Zc>(CY8^T`qj4Ax02`z;V9E4m;&5nUBfYf_ zl-gQLZ3C^RcYroByRqzEEVmbb(mp_oY<9Ph-2r6+-asj&(z#SB1N_>ZI4ll4rZdS* zE}1QW<%-E%3AjjP^NCC@p3cNl>Gf1{B^iq*)dhD3`I0MNb`~~W#cg+K*InLsZ=QE=UGQ#S2yLHV+Sy;;**jc^vJ=|e z4wg3oiUf;A;BN@!vyogXnu#x`*OwDf&0g+_EAIa|Vv~eSyxkP;i7S3k>5*XFGOTNk z;G7@u%;5YYM2Oqx=3>meQ5An`P9_s64IE>DrS&lu-E_HwDtD8?{i{Rc>d2^JY1q0v zW?i1JERoDhBtwX(@e!4-36*zT4g9VhB&+-km6xk>%QQ}<&Y?FtHP+CgbA8^Ensuk8 zuJoKM&E$=w{Pv- z+{q*pE6#Axy|m<6+X%%|g<|f;LFxA8;&Z#}R}0?lxOq8ZG&=P&W~0>Z23_G_mHLA- zey7Z96F8h~i-&ITQnVhT$~8J~@0Xd-LLHo^fpXOlt_s3eBSc!XOplUkA^gQI_G|}p zrh_@x$(-+GE_5*!U5v#}2H=gkR=TupYPN%==;CNQ7>jLWY4a$zaZJ!al%1n2G>`K; z`zIhs#8iK`mDE;dH|+6S_Qjp&XZyBi-~|~bDJ3LDm;@i5;PxhYohg1>M$ojuZi>aX#riq0H;;x zIGu*+E(5n)&*{>#0a~;Jv;gD)umMnnmEUU@LhJ&F?a&n_PS?>y3q7;lzydQe!3+#= z`wPtzSF~vlT>*TSzq(>>En9l%RApl +yDvSfU&Tp*C~c_J={%VEwd=gnS6D7EqA ze2|`}`?{a*?R=`Y{o6gQ-|lICs;BAczUB%@OEs*u7TJCR+jW}Idu{;IFa&EHhBpnt z8wcPG{qTA`>w+eVR{qsZ0~MAI<*>=5+$U|-d6-!T%R60igtSHs3s zu~C(5WF-et#YNQc5j6sMoe+Lp2tCg0t>JW4GP^6L`l=}KYBI8ximauf>S(B1DxwB_ z23AFeRg$5V6lf(4UPVV#GY~aQAY?5IQOiQsvXOPu=;K_>2?73;0CSv=sOCYAiJ_IV z@R~*Ban+G4pp`~gr3G2xKvyh{oy@YD&dYi(&h}iAcVAiPy0*}DW8p8ZFo3SOW5qpZ z#a=O^ubNQTjPUDv*!ChUF$44QAk(<|p0mfE`j>w?bE2-hqXUOVPGWj_*!FpBgARMz zfvXMTt5%0kB#HGoT1%GInc?-Ogs_C*a0gByDlWz)r2XmH;o{=hwuZQ;Bkrh2wiSfU zd313WQIPckmF0*X1!iXvyS0EV%dw?7RB0Aon&~UeK*|6)X3#scgoB0Q%Sz%k4f&>? z@~oNmjEQ{HFm_!#ctwo|L~)=%fI}84+!gh}4c*wYM#}RR#`mmKFIuU$ZKOLk;$8d1 zUHkaU_R*K^!+_ppUULy%ci~@mVP6Mbfx2fy z-m@V8>WUxR3GX@w-t!FH_YZs!8vH0S^y$*@r^^5>4u>rK*!R7d_uS}rU6}Vhga^K% zhyKxr{;?1J6A%4|gB1bd2O-i&QOc()^p96)55uJQ{iFATq=!qakJrRMk4b(V7yV~a z@S6<(*Ezv2N`jBF)9)l0_f{#dtx(=rroFvP|1d57w_WWQH++A(<@xFv`{QR!Up=G# z)6Io1Zb<)hRs7{e;o}3rpASTbw2*#vQTphzPQ-yTq2W=WwYzK%qmbe4Lq*ovMad^csfZg6Uk*l*-S8-31qT< z@TN)Do5=xrvN>Lt2im1>ERoe8odPPVO2T30Ei z2vr}TYdv&bfUXbI4NEj#ln%agkfZhqRBo}_CDaCZhGn*SgK3UUnd2-=TxMU_xtHyp zsMQg%SR!U~#NdqR{83FLs$5!LSYDk8FLUjFn#w_vTZnQiQEnrvoKsf+w10^cT%Phq zNcP~U-ZwDs#tK|$t{p9~9NrBv0s&M2LJG|YAdv+rv7%&Fq|^cv8zBN6RG@_kwBWD# zA_GQj!b`1qsSPKw;ly@~$ch%3kpcspZ-ns-5Uv3(upq_Yj+(exU;lh)XfZkr78y}S zN0gCKWq4E-9##OZaQDwT#*}`lahd0eJEEy#I`iCSb|WE_2{Z_i9xl{Fxtcz%r!`1vvI4K#h+10PxACX{C%NZo!Qd$cy=9SF zuOy%Rt1D8rYBjlDMQKt}L05niBo1$O7&x8A>23oD9E$)r0bm1k1po$ir)9dw#_P3C z_n4=h9=f7UO>YH0%ip_VX6T%3 zs6jH=C>&_y5*nF!aL9s+t0&{?c{IF6B@0BB+@63|sgZJcVkT3YDI`$7567* z`m^$(qGD)sfv`J|*^?voUt4!bMw zKd%_MtR`O50-T^eYo2<>M7e30xUL<#q9y>Y*jK;~76DqIFDVIE)x$S+q~{Fu7tD+o zEzCRisk?Ui%XZ4k_Q{v+696p$SKPG|?piT-t%y5j=xt-~ONOr7rk=ZI$SYRZ4{XR+ z9hldg1V9U~yM|tK4!!0YyyxnF)z$xoZ}cZ&;(JTf_o9?{!<3(dCg1XnzvdZ!)!F~5 zlW@<8f6ak?&55~p2RxZ!Z4t^2{$w{7-W1_fpI^HfXP}QeR)Dz8;~zpAh_PQ}y{}_ZQb) zkDjqT{*LLZ?`Xb!Zt+jg&3<`P`qgF8p(_M`-UoYhAo#<1{_igEe|M4dyGyL!U7q^m z0r|_VvB#yMMP7+ z62&7|q~aw26|wbvA`T+qFRm!(bDM{EI*QrD(TP;5oJ^LVY-ABHBx3nQEC-ZKSP_aV>c!AEedYi>J}-^}F8V7XE{UrH6q>GEc>yp<@G zV;0G>F1;g;s;hx|M5 zLBh*%|LVGDW7UyZvafjU0h8UapfjuF27^Fj=bA!n=LR!anD(Xwt~IeOEV4v}<`uqi zm1j*%JF;v~k?GFToJop(gKk}BnZjIypKA*9EGt~g2E(*Q)vc1W%af`QdBI1ScTX<( zCKTaO<r-1#U+8Dwa^OtXjU4T_hRfmjY7S#2Mk zwG2va1cAL@;u=-?C#?~xJ4*9}Y3>lk>L)5aqZ0R^z|k+V;v^=l#CVtqBLQALEl80S zDYl}dHk8Z`mstCR#%`XrhY!3K>k(2TR%+>&*@k8v{ZcDVXhKcv5L_*SuY&{X;Oh`P zE$}9at4H&USiTuAu;IndeyOK_#?ucPBQT%{4k<&!n#jqsi10^-!<}3pXE`r<+Knupzz^7Fho|+(34@mXHa_gANHL_qGl4%C`b2#1{f;ZpG zTSQC=`p1bx0#ZH(iB9!g7Is~c^jwfa_h;ZmDIy_8EC~^70$7X>P4N11!rro^cXy^I z!Rhc$Hf#IOiC}fqjtWBkH>i+m@$gx2rUbP?IeF^d_nzDb$=GW<wkR>1Yk9iVmh_ zv>N~+aJqmFCuf2;ICP*Z+6=4?6T8a-{1K}Y9FzdZC7vuV1>UrN=YCZaeD(gwQiOt zlCq~IY!=`O$)PL6fGdPd0pJQAL&Rsz2)Xkj!K{EU;ZE~89QneW-fnWO298{T?XClO zfa|Ko19ev8JE{onm4x;RLL1Prf%apA;HKFXqutfxeRU+*$qDF*ap;LL$nl|`+WxL; zd}q~2&xuLMSvstN20crIoTl}ip!U>Ix+tm)vXNEO=$dI{H5XP1xIzfH0#?0%s8b?p)v!t}^q3xY%m~l|UJ)2P zk)Sngi@FbFfGfJLEp}X2blh0zxG~@HT~+UG9sCDo%u5#BvsS`YYyUM9=7tV&Q{8uA zv3GO6HzDnwA8W*S)}1<0-33MBNz){ujxsHyPca#!5%vIti#RLpt574WT!h-Ck>hKm zQwjRHG^;7aZBGe$k|JnK1YZ{(9!Vxar)22-EM{vCeK3y#4?~y3FUg^o3-}!cW_JO-GmqJpV|V8X2a7|O)MHn*q#FjxGbY+IM#@b+@w#^8 zs=EJ@3UhuDetr=F0OOJpcTGKXQ%ii-KzrWAc+twdYiHlJ1CR8(Hp*Ra;9~Udkt=N2 zyEfz|0iF zJ;-|={09O2hYS0{*vu)q6FGPNOIsC_K;oo0!{AOSI z%T3`Y`RVtQtT)%EUSFoY7NNcxp!{Tw_i0}7zYpxcyJGv(E%W2&^u>q-xe4@ zO|tj3Lke;aqU%go^YO-0mFG@WK|9+<2)OAfhE|~pd&AjyKAS9MQ-`idloPQ+d?TNX zAI+&K9--oB>1YmIWLnCk%jwi+3JlOiF_|nR5`}mop8!yi1WTt2phkd?%5N6{R227$ zg*7+WHyi}`r;)|yx@-K9Px}Tk+dY@pes@v`t+J1vu?`8%!RnEn3P_> z^yJ*JpZ+vl-j0-a&VR@H#1#*a(Zo(Dz2(c5+@-uDld!EXnIj&J-#_n;NbD;@Pm&ib za+dc5(M?G>KO0KT_>wYrLTZmo+*z@&Bo6NIeZ^@{hUJV;J2v>XHKBD?Xp0FQDZVqy zwx(#NI7z=gsaYYbB4lNVq>PNKmPXa9fG7rau|Y$8Sid@^ix4#-vT}*GutuL>BQHcI z7JcJdFV!Am1(#W&Wr{sCru7WUfmd@EUf>!Kdx**a!xG`RA{=*+QbzC|?8Tsgc0TFmC#fO|P;3WwAyQQgL>A+=#CCf&Q4 z(0(SGTJZ$ECWA>MQR~QZ13_X!OKfnl6DD?|q-NZ#c5q%buGCYsW}41AsWOi*m`3D4 z){%L~;G6>|wIYN@2v65Lt?6bfdpIfxPYW06(NZ&h&OW%{?w30;Vl#}ZLrkl&T=f87 zJuKFZ$;}fg2T^Gu&g&**i^Gz6oM;}-m*be+and+*5TTiXtT7>1CB0W=kP9-{&I~dy zMa0GMB@t{z09ohvCb->MK~GuSyC;KeusZBxO>^ke(~!E!j>>_ir)aQR$?#dtREwHY zuOgm$^@YE=LQ8H`QJNO1%|J?U3+`s^RI7p6VPtm#iqJFLfpm;E;7KjL1@MD`(QX9b zG1aE0x9VsuS|IQk(^lX~&=u?+E33!K=&?+78v$3)+I0XeKv#gLr2~KeUtKXfd{#Da zR?>e~gg+<1pX1@{r|}I;Ts<9omW)2lqoCA_B3~rn^7#x}{k%vv!{y63Yzgact`Hs3 zLckOY*nle*#DFUV5*|;$;m*ltH5Q#M;yiK%q5EWi_lbe-6NBBy2fJzqJF5pfD#6n? zjt=%}|MpP(w}#ulIo97`?BG1*_%2>kg}B!)iFdo3NT`SnV{lh6Al-Luy!k)y&>XdT%8KQaK5$ zB*7{t5tS6c5=c-KG(^Q;Iz~qvn?hDFQI$X}AmrZyP{Bc0b1^ks6yS;qZr{^FNQDeq zC5P84;MGd#F*WolE%YfJ^q2v9%tJW7PHrsoy7r`97v-JTlpWU;?bjFDug$eRqv(D? z4Y{L7zG%dL*WCZCZTOZEe^Z0Hz6iObgzhV$MFmtl**w~Fyy;Xm9DyFAi&%08Z^0y4 z)JW%Nc+82Z!5%8~I2%$a?ECgS^qVGJMPRgUopL74ZYhd;%CoTI3^XT$W~Gp8$B25#fCT!!4gZ>Z_^rUin|>hT8$RNzuF>z?2Jc$%uUK*4w_<;22T*}~ z-HCt0g#(X4ci`T%xs>Ur>Gh9p$523xB*O|I-!emzVfooo9W$&-{9y@#o#CM?0)9wmF|~^M1QG{h#Nj z|MMc}_vh)4&XXVSkN>tv{6%u|#}QI$4#OL2Z*4l!c&_&B$*OZFYv8?I6C*=HF3+IR zM}te*RPksAW;VT*KH5$*Sxl!&*~8VQ;7G+$N3HqNfcwraxA^Qk=+ADk$EDDU}D=J z-}1({Jn=18Y}*yvam9C>@m*J9&z;=&r1rh(17GIApFIfV&I5&V7nXAevFv_2yO+uB zW^y~=5hwYrT;VA2WRoZ5z%toQ;A_Yn-7d**r3+x0;#Q`#oh|L<$_M%K`CRFIwz!`u z?xhR6sr*hdzm>=VZ60oyQ3Q%*3b9NsmdVD_8K8}HdOej|OD9*;iRDx>l1hb=nLr}z zPiB1JnI>s>GVM&I?5UJ3ow8(-mUPmZ0WYlCl=Sk&C+kc<{nVSw`*Zo-Te_nk@;|u` zkH$-pR56q<1~vz5T3Wl5Q$z_Y{k?6MsthBZqwB^c&7#}eaOVjN3? zWl2t1(o|c9Y|E1DKuMBqgKS-!0^Y}%p4O-7x;RM-U}Jg0vO3{fA9t@0TUQ43(E(Lx zXg)A1^O5KLe0@maj;j1&x!Wst*f~ZUS?L^-dI(}qztr77;~JO+@(j*;2WGtlnHwi| zVTLa~2dbm0$M}=Z3 z@KbX{u9_n?&nny!g^R!7WY0S(bB@tj2LS-dqG!wynzSuX>b;XHD`j3QGulm_KxAoU zExeraNAvD*%5C3pX;)nGb+0lO)TW~5a@=>2U%R}S+AXXU(}6_H6<%@LLr#_3Au`!% zO55n1wO?jLOLSBu5P?|_ee=T z4@^zbCWl4Ca0>|p_gT_eHmg?ip)t72?=~v3|kfUuJO7yz}>t%3;gaKQSUOf zRX0%2?K@8Isu^#u9B6r(4zH06omNvDRHUt%ls7BsVUQn-t_GCAmpO zZq@)!po0g60FNLEz&$pb)!-jBsVU7`Fz^`-@SeaklVHGwp4Mh!bXb^OW=6MVs@F2r zW1@HIY2d98Ex3^d;EHA?rRi_;HV4i~38zK)(*n#H9uV#<58uGS*E6tZshCrI3PQEO zcL&{0uiKzAEXwBP0`bf=N5Z0uIdlnsN+M>8fkZ5kkR=sO&xv>nv2acxl=1{34u5WT zR%KKg{iY*V40WF!?m0cub858vTAi$W26AZ+02K@LGtcC`yrb4Tz&`KH%oI62+R*d&OJ>L7&1mtNF4EWoQQQ*g@ z@MEATkjH4qV^gSO3{(XRUCF{!ffF{+m4GEU=&Hl2r?KGS@;pEn@Ct74(*npbDWq}^ zRH#zC$4Up*pTORY>PWD%ynE>cU)U+zc$}?Ww!OkeCM-^ zJuj%B-_xOAG!4FJ8~=`R;Fbz_#fM!{!7uBO2Rf8(s*M6U(RI3-fX2}{vl2~c-Wt*P zm$U)DXkJX3B;XO}@LiSo#(x~G{|90BKN-0gLmx%uQ&+bcjA8F#QxBQ{Z|(T%!vU| z@roUJ*MfM_0DVCVd0qqkt{Mn-$B6!+t^Y@!(bqj=K(D#Sf8ZFoYwmx^h`VFLzHG*R z-v+n>Kt=!C0B1m$zn;U~gtwgpfEI69aBo_0KXKsSa}yr;2OfrpK3y99Y#DIH=*Q8K zkHRAlgG2ZIgAaVe4}2pJeB%#%hpzBFaRoS)B1-*qjq&p&=hIdC``(c^jOcg$w4asD zpTAK0!>gAcy?O2HcW(UQ)zWXC^Zk5(_F-P|&Iaf8F!P>|{+f&Snw|3F!1TlQnV%K3 zzd6wS{<`w<_ZGf-ZsAYY=fAi(|Az~bM;EwXo~M7cPyKq2^5W%}2b$p2oPc(68l*V!NBLx||cx>L2sPu83~QFZQA9TL_@CK6{P zQj5vD99;wbkU3oAc}Rt$MH#@G`8>F%#9y|R_*>cR_R%S*hi!vri{!RaVBoxkquC3G zLjha4;&!eG-igQ-cG9`+RCW_wI+`kNB#LW^(rRjJCA|ZPBAfz5vE`3%dSaWdjZJ54 z%MshMZEV|PJGS^PkUg>INbWmQ`_9z9E4A-VA9ylg-poNHyB7n$nC)C1+~G5uE9QXm zg=`impULLZK$$$a!8kaj6JSp%mEB4LUu}LnRoG4yx6|eAOnE0;+Rqg)6p9zY3c$r* zJ6|XsfED%u9f2E%0^b+7X;=~b6q$S`lTD@5sdOrtPQ+4)l~g>EiiJ|~Q0j2_BApI^ zr?qCinY=rlcV_bTR1V0R$XF98@%bmNIQ#L(_C&&!jBj37JegndK4fVlvy{w53;F0) z(Z9LrDDD{Y2gd9LOZu`sb=8!-s!3d1NL*jYJiAbMUQxcikbPFMen}D8QZDbP*7r2= z1MSL|E|k}KQz~Cc;oqP2Uy%l`^8MF1{%dUaKFeNaSu=cRPUg+a{lyu7S?Vi`e49M~ z7RR^A^q1-W0@a_T`O+M3Ug#-{U7KuMfnv;z8d8JCB;K6BnBy2z9Ak_T^y{OlWwIj7 zQ-xIjA6M@I)mEA%>b|w^^n3TNJ8y1JS8~9B$rwyDIf;yN4oKuIp-7N~azaQ5k%My1 zWN^Yb=bS3JY?sS5-81th+?hK))0Mia-#bURYWluf-}>ut5CQ{>|I^<8-dj4Q(NAj) zdXZYemI^vY1UQbYeqg-1Z=!BsqKPp9W$IweNd(IPV;Y(my81qC9q_JxUH!mhEnQzd zpsO61sH9Io7!x&gZ7nDsin?xTeTS&NO;Ar8fzU=vT1N9*1;x}M2$|W4@1u6`*esb! zY!Hv>M)(@$u&SM{z%hZXUxeVPuo694Ge?n(Q~9D+9#5o}FD)9@-7Ashh2Z40S3c>K zNh}i1lBjQ4##~VjnI}ZP#mRNI;v z8&Rqzl&-W@Yz$Pa(JKQ3m9D-jTYrVAzkH#;Y_6wpwmo-_nz>BNvA5;<+6yMpC)tn` zeC{!HP7FNfNK-EGDmb>cDRCH=!b2x>po#Y`yz>f+Jbnasf`dzE;!c3$Jg^xXUkF6T7Mt+ba{>suDYDQo8C-wAZE6YEvmSNnQ9d9_xSI9HWKv}cxhjQJ zl|-scBvu~BRm5S+V=(1MaTPK6su=$2J;p3O!Y=ucQ}P>b@%y}@4~Gg4 z$sqAl$aHgauBR(6GMKwNoV(4<*Ay~J`7vsHHA2J0YEBPRY5i+%&l1)YS|>V^V& zQwhJVgx^s?@2Z;asT=RB8}6&??#;ap>*F?29#5K1hHTUFok5vuNG>y*>P&YhN)IXEfJ(JWv zm)Cy^p5BDM(!t+MA>SHNUm1~arU0*iy`F@<(gXKlul0!6demz@=A{nIfV`N%eWAmD zp~t_PB7HSS{q1t=+gb7p4eY6~;85eKGObu zg!Dt0@M94FQveHi#kane|L}BxA&X$g|B7_{VZH5#t(G6RsBbN(o9bFWvv?SrT~nBR zC_XkeAub^?J|jK3wz`T+p>Ww;r9wS7w+#4$-40^2MFFlIVE=8GE8unoTu#5^U2_Rv zlwYJG2o6|3$SgPlR&X4u9}EIGyit5sCxAanzyfUI0Cu0r2G)8knLP_;@0`UqV+l-| z1Cyp`m}1GNUh*mzz49gBFGe9-3CT=hnJFSSgDA`qr6sJg0D=)ZVA2v;u=;IaT}iaz zhV9*UZ?oBLRuC%)n3}Oz+!m|HV)I3hcLprLSLF&?+(C;cX!V5bETru~ruKw&5Z{*7h0PY>;&t6e%Tr^Fatus!? zoZmGS2#yD~Gra_mX%=Y_U&qwdSY{@c9p<5AzuF~^?7w5fJ(PX>18 z)=tm+*XAAmd6QGS91<;Va~94s7xo6`_j~8}2WEE%r&rlV|IloZzYrEKMMmaVIWwz+ z#Wbo%td&eqKK znjz%X&dw?YQgH`cfb18Pb_h;&2x}Q)+_0Q9DuWO5t2^1n&GbC{KqjjH1Y#fq#mvNT zPvVEOiTqs3SYERzuNhc{`BXqK1O))if>RWJKAB%g8Y(5SDhZ%h)U*uLcG8>rSSZF2 zkt4v+IgK4%Rb(Ox5AVj-2vH?^QmLh*BEo=#=@4Ikm9w|X)>monuUMv6EcO&FbmYy^ zGFNEX_Le+fOTh%g3B%ZA9un}1qSwPwK8(v? zNI?H3J#Klg&ap$#vvwttzIa>e!zHss(5lv2B$HUU9gq_()$#4Coalhgl^b zuuJ|2r|37_!Vh@)hs2ffI%wJ=G279e8=~j#jO1={b2gaStNmFU^qd_={+Ypo^SrW) zqt#bLjeu9|jW(SbhMpF}PRrpN3g~!8QCoF#<%uJ8#rd!X1darJb4N!t6Y}|4u3FYT zJV@?s!MEYjq$VV)5>uZ`C{LsoAL*?)%Bzi$LSrY<$5)6+ZdzKX^W!w!&QsJXlMVJuaUE936ts&_4C~9K_xi-`o=2nL|RbehoJZDhmfsll3e*L#n>XQ#oODgud{s%gsvupF6R*k% zS7rFCGVFCZ?uHV3Q-!^y!rW1z@2XJuREYa(*nL&gU1j|pdCe_p)&I{c&T~tzj8@+k zH$6}wAE_{p$8nFx3HMd#+j7`-N#k{K{dIB84RQ6IXvpHRs{V zU6}M;i1>Yg@Vy`Zy^r#puk~AR*B|^H{}E{W_fYG%YwdsB>;iZ?gA8&?WY|-W7dHe@^%nVFo0*UMk5%2TA1I(F#z8H2pkaYXBAkn13nO# zwfK!@Kj0O*cj*tmYRRWu4k+FQC;*XIRan;*)-{D?O=(?IT2_DdilD*-5YUO7{I3Q0^5gLeV`5jU%5SOw?`a~h{GAS1GvIAkdVU>a@s>K zYuIfId+cG4BjN>cM!c?7VD$hvB5p_6c6B7o;QYe z4Z&Sq;Pklfw8U|G#I(y^IL(~fX3TC4%xv_}uJz8X_RNQSX2U%*;jXE0hc4Wv4!0;m z&5AHZ5hf{uc!d`$cVT5VveeWnS?pIV^7Sj4S&MGoq%_WpbOw$}-#Mno59yJdNd(UT z9|Eg0kN~_WTmy=0fV1^YgA;Z1@j8aKo~>`-8R|K@8m0y^Ag>=(BG@Y2&^S$??~xi= zss+yYEO)}loz#yRbSi^(YD&8@H|bfKUAHYem*(cc(|r?cv5Lx*)%TCpvlR716AeNm zY-9q>QxG^Jx=1M<*Ue5F=Z%IXquxBN^Dk<*ESmF9&8}6qu{;%8n6=N&&rdHJrkCbS z3oGt9YjE1;1*~vld0DL*m$OI2)P5nfO8_>^>=40+G+ml$x_+ibGLGViYkG!@n^{?y z0njVZ%#%1?HeocEBFv{r0CK6K9Eu=^!p|WCH%D^GBe|rJ9O7^Raj2Zkt){YSY0TO- zMokC3zMBQ@R@g=O`ZBtz3<;n}f>f>=~}EUh-44o?`xB@LrexUkfF z`@epd2T>#r<1+!TU=UK6_;e0Fg9qpYXcWIl1z;5EEJPXr8xi#iFhG$J<(*L+tizbh z5$wqkY}P0?X9S%Gg2@@dMW?G1GKWZ+;Lwmi^9n{2muPU@&k?5IlajCw_TO$rr~ zK&*&uL!Dyw6UG#y5`{!OCK($N4>LG}on1W?LN^WH+fM55X&&gK4fMCt2ilqMyrPTU z-8f(7)THUV3kh^-9=qf(*@eI6 z6uigDJtQoP)6}QVV6rSNIe~$k?UCF~ZqC|ZcDOHVwLg2KKX-c|{|vkM!cfI!VGZCF z7X--jz?Ln=ol#>q)aZ$xvd;R{n#{wH-1Mr#q8bR4+SWBBktpY zjdDngZaBWFsywqS^P~EVzeZ*J_tvccK3wvf$@(KUOhUNzAkXld&Ip>$@|(^H8qW)%dqU)%5VJ4FT?Rx#MY^gaMZE%C zuSV_Sx`K2=MY^dX-BOWmtB7}1_Mh)cfEA%5%P{L9|lf82C^ci;QdlkhjUm;dRU z_-&};Qw#aQH1Uc8cTIx6B|<(B!k$QRpJ-aYnCkx<%iuq+a=zUk`u^PTAGb$-S{wai zg!x^#^P3R)n;_{MKj|AE@jD;&dw=`)zV7e*9pCy}zx7kUU+w&HqyPI2#x)IMl9o*= z{1B3LC^h-;dw^G@B&MCrC@d<(V6hAaOQ9T}GS07kYfzL8l`S^$K7OJ8U6fceYvmHj6*%6(J|E+d4zeD1c+w9ex`)Rt!vwM0;+(YrAc6 z2Ej^==ss?DM=Y+$l07&V^$LS2dQfx4KfV%B18T7nQkfzu%c{z{rm}6Q>{}}PrV_l^ z0Pk2MKYK+$4j%9H8JE0EivXVGMfb|G+qCR9uefbs+fT4BsMG3og8jxrZu=@2h;XdC z9UE@vI)KZ$=5($)oU3+6*l7!b-NnrTk2T=61p$2apx+VlIU_y?pc$ZSxa=W^EqH+4 z8U?rpz5~v1l!z0!HU;bpe*1#gzUXzV_#7sm)8dT|N%7bnPC#?aPV17xyx=g++E<1* z!|(cSzI`)pUQnAB|I;hJDAs{JG%WKjyUFV^h1OTrFD-9BUf6gr8@@H|yJ`$vHHNNE zg|BH>?+qBjh48jRamoM3|Nh^5@BO;IzH~yv*|@l7-rpB*U6yWNm+#(DpSd@;f5&z8 z=IV`W-pf}ldspUmE@>hc$6Ob=rhV@6dCuZl&ipQCahJWk%Uap)U)<=LUu~aR?VMWg z)@}5TZ}p9D_mA)PX}3BxkruU&s&uxgZJio3U1uJdw#ygXnkBbt!J(M73JuGH%DFb7 zfiyaa<4>UkMucDrIch)->rumc%!mQcH=>6pp=@m(U0FA%YUEA8_=cw8iCUJjYCzP$ zl3_iQBFk&*rgPiY{VmItP3!ed>y~fXVVO0~7)Dj& zEhF;UK2bGYUcnqMG|48>4HIRog819n3z**^omiDw3i_!bd1%t2u@K2g`EEz?4#|;Jwh!mv=qC{U85m|3ekg||$fJr+waQPm%5tcpEVAGvar7i{_#|=Y zB!PDl4|0mgtDp|mbqqIj@ao!GkTynj2eY=5Th~2W(?YMnk&2;pC}`y%vP6d~SZFS> zc2#FIOq@u17aU2v-K5PyK@}vdG3}1UvtrTQ%+A&N<&IKG$$Te zavWE4ysa@|5Sb{zC5@och7c$2@BilDSI(wL8YY}%5z+>TNrQwm4l$F5&jQqfivgwL zz$lpTv_W_(6Q0U?=M@<|OeRRwE{4#VJQSc7z(w>LnaM+Ba-mru@RK}LG>ro23h@Mw zaN^Isf(c8bH>CE~BzILMc2EV^pbfY->)m2tSzBQ$spy$3xi;fm!ViAW|LRq&a^ z%&zWkGQO)B*V{(y>!AQ%LGN#6479WQJJ`LQ9MCKJm|b*6Cu?wkF~}KU3VMHzSENKq zMieH&3lm@k$Dya<;01BWqBvA>9HKA=R&W@a{}KGuAwV-wg-20^zl8}`tXh<3cxKj-{Mk2B*9$pa( zE02Mf$DpcWfu91Q<~R{@oLCVL7zL?3o?LO9Qh6Ng$yt5875Ete)W)~f#J5(*(SG)d zs8oQO(FQi!ifaX^ifgL?>p?n-4|f+I=`V>HERAKB9%hyP2K0)e|G_%-J}dVyza&ms zn>>ZgG*PpB{n=Y1xf|S^)xqpgUsj|qd%Zt*t3Pj-RdjZwd{0!pH`a7sfIcrEos|$y ztMHp@^kiRoA1u8w?X~VY!NAw)x#JTIwWe34Y!eCa-R+IY z21t2sZDDFdP7FHxgU*6OLuE(RwQ;kkRC{x_zq7#GQ|uWib1^ENgH?7W#KDAkz)S~N zB(lk>Jk6>&$E`Uxf;cB6ofZ@{UyQvhBV1LI-=P54YXBRXcPyRzyB@|wrW+NY|z=cLJ$4Q+WWWbs((6b{I~tNZ?7)>{(|-&wz+SEv`=k>yEFKUD(odG z>V^n*N6_$4jC!J=d@|nkW|{Gip`mXsjD3G@?8hD9pVkFGuCc#g?fo{=@`n)ZKLWJh z`>22LwSMbs|H0q&y}#}I0PVW~<=;HCe{{BfWoiv_Yk1JKs?^`)B)uP>@X-gyk0xZK zW}nKhs;;I`TX@5Kt=>2@zhbhv9o~@59k4ikW{216^jh6MyT=Erg)iv#23>Ao>-2*u z4?FNuJ?uPC3u| zWW^C$umxu=0b?{35><B02qj{N8Aq3D?E;M52zMvZs)4o z8F2wd;Q)0Ae3;em1Ur-aTsFTOz#i~`1l{(a3;eeq7)8K-fb}4569Qe!0pfH-!0(Sa z=veYQ7k$oUzjMVO?Jw%{*t{OQ+vRXMoesOxZUaLp))j|Exb^OQMaJ8&rYz=3i#fQ< zdzS}!S)#XFW*oL9r^D)WT09Yx|Lk)3#$4ct&hOHNP*1bXVnckJ{?xn5%h26oqbF7&? zwsDU=wZ}4?rR%qPC&E2CU$5TNZ*UG8UA$SZU_K~b2mweIg2Fj3&tPL{7rWK-H02^e zzJ!r3VnlNo;S5$VjTg=kg|j%m5y{gxvBsM?6YvoOa%=|9H#G1xHB1?ltH2AiZBoPF z#Nyb3L+1$2dwtfB)3K zfIa^o9(<6o_@q7bKsP7g{3`)m&YK=gzR?KP4F5~vb^36T_rES;QuxHijo}OOf zO7yM6$^n&jXx1=hG74uV_~XhUv9ymPqxHy9EwU=AD5sg9*Exn2>$!_2nbR?{WM)h) zw8|$DY*|_BP#%$$L*!%=hq6hdxy@twEt0$zNj7!tB$=N{8qOpRWfHgmCkfmv0=IxN zRM|e-)GLJc@f*5_YCGB09h|E6;mS6C1%+OYCY3hU;b7%Fbjb{%V5Ozl(oR0bifk0ZU|| z6NLB#J|=Axnf2h}d+)qLnKDAmVv*7YNJ)dlG!`L)gUjMzGuh}27Al>I0F7c021*5R z%|fQLQ71U)6M$MA0O$l40C|G*3-A+cXa=hx69k&UMw|dXgpC2mrn7OWY)tBZdIdC% z(U96#o6=pC)K!(-U7gxpm)2gLM5#E2EB>e%n%UQh7#6X{WMfjXOes_g*?eYKPX`Ix zNx^it5qi7H{k>Frf6L%NI}`MZ4o-I`;1#UyL1q_saA1(Z?xT-%9(V<;FachageXo% zmZTs`lA|OcOOsG#$(Sr}0YECs;@M?KIA!l~%l>b6@vm8@K49h?87+>J)gC2Q1PhZyN zNX|MpCjxp!_G*95`as^+z^N^6$+oa^M_#)thMpFn&x{aGkKuM@=q&}@I8Z)_%|w|ue%Fe96o5~wGK6ca3!maftCDHT0@e&-;wt-XUx#A2W|C`bXe zEE8XlNIezXQxeOmJSMJ>*P&Avo3p`l#RDbl?20X3)h4%UgIl@Dg=`L0Zx7e*@}Xyh z*z+RlIT2-d48196*x=V}@*!J-${k_N89*LHmQV+PMYQC;+zM*Npp$4RacvDTdp~T)$pl`^K05_$G zTQbBgV3ooFf4C)v-ViljAFIDEY`8Jj09*q%@5+$(m6!)=+{1C=BQ5D6=oPrTD)emy z{FbcohNSMMq!#ds+Y-pZFtW#rny2!*XY%^z3NR1yOb&alfPbt+e5OWxK8|>yg@2)i zzSO~9O~PLr5O0j=ucmQd&l10$Bfp&`e>Fq-a+(5{b5q*rs4FBhnn?6^U ze>TzZ`F!)|Hs%}m$lv+}{}LYi=P>8*LS0`62%kEzcjqztI_$m@aaGcIQ&4kv40>OR ze=Ki(HOKgefZ&@w&G+Y&KkiEYv?2J@2KUE}!5=nzzFF(}eYpEy16{xOcl^QE_MNvC zkcvNsDBp)kzg@;W9Ea}kYQ_n9l;XskxDQj~Ka4&8(UGJh>A4vtmE|xLx}&#WD3Kdx z7U!3(CcDSx30hr#lf$!OcZ2OHogh{huoL4+JTKY0_@Q);KjQm>~=(e ztr>Bm2F)GCP5+!b68;tDOLjVWxs66D_e9c7d@IqpLWr&U-kpf zU^M&Ztbql4aK#ZcgAtOT4NTC498O^0e}~H+O?fziE=M3*3F`%LIJ^fLoC9ojFPIgI zo;k7Fem;2;C3+UcA3bN{xBsFUz_m4CxA?)b8nee9#Q}~`@i?s>m(A_AM{xjl;dVJ) zPKVp!a7(v$5B{!Zef>8}HqWBfy?#dUuFmvT`IOr|=X9-r7UHm&Jj*MAx#d;;%9?Ct zebltxtGC2w<{fCmU%h`AM%Rh`AFG1T^^vDLcRu~%x3B*6(^tR$x96K1%ZZ7x2M_zr zM~67mCi~4NzPryi9zHw!^vV9S$NoDHXD{8CoxUgDdL&$X$`3vh`yR^Ox0SBzV&`?f z^D57Am1Doewq0Ob_juMz!?tT9*6TwnSGfz9*s~YdGpAY88?2dC_H39lAK=UdfeY5m z8hd7gJGV77zdgFNDOd@QnLQ)Ru7MeMi_SyVxJXJnNoFC5O(fAWX>5roSite;(Id0y z(K)nm0WDrajm;xQjnE+-a(Dtas-p;WU9xG8Zdp8MpD@`M9X6NW8d`I0?)uN|t#0o4 z{9&8TwXk4Ym|UJ$&d+hRhBlD~$(F)6iYA`AaafBL8EC4xUj1_aBlajsjcA@HSLS}kv7cFeKJoto?yDchJ5O0N>zu5F@f zOQ^CF)X|L2k%kdzmrgshG(EbqEU?;mi`F)k5y4edbqk7GN3uzvJY2yZ zQB^{G=?bO5+E#4tEnj9rObm#nugcb4VUObI0VsC#=G%L-?d{oia*hL?E33|E%}uUI zh^@eA!D9H?B>LBg}6O%EB zJ~4<&V<6K85vdHoD*&lLrU9D40t^9tf(3wz+5!@Ug-B;3(pm7dcfit_jVA`{GeDY7 zFkw+SL8dTJNepBn1CjX4+%ZOD3cWt1uO_)0kP1k0PfcoXLwb7+;1x00qW8&7={+4V zu8<*+38YfFT09}*2w7b{?F39a8Qs}}>**r(^)%D_qFw>!K>)7+=;L%V+1*1-&?|Ze zhT9LkqOl+jT9g0>M4~(mq#_+%aROa=0#lWNt;#@_rNT-QnhIi}1#z&#ICxESh zBLIk~U7!n(;EIlsN@6Lc@y(^jDbdmoT1850ReB5L1i3sJUveB%2u?r8mPDI!7X$wU zFxG)7IE=|ZjL$zxEQqBPB{UZ&Qc4p^WdI3LwMYO5id7`ER3)^61I0jR0M?f3FDo@~4#Bj^s=av5zy9Drx4+nFO z4j08qAc^BmsSD(Eci+j4(d>0zc4ROo)R(h5kh?)YwM8%37%E$nRIO_2*QKycK6;0X z-{qrsMTl)_;~b-mN69ACr_`3G=I5NqIGKw;5m+3-_{5w-WgL@Dj)*6?$_bWsf~D7u z=#66CoLDu@7!o&k^&_zOY6zqtCnGO8rX>0OnxwzPW&9m+>b zM}F!;-C0KM88Lg~@Jq6~tHO$#g8Exy=zF5(7e>baGr+16GbW zqE#(Uy9e0ZonQ>X>2f*kF1N+yHMx8%PVchA1AI4D?4A{ydj*`y?lwg++rW;UwrJr= zG%@6hjy3UFEncvnxyb`IHn+N>?LA%K2~xYuZgV-TE{DzOvbo$gkJs+=+WkJK-|q7-_>tFHt>&j_gXu;(-TilLiyJg0*s9&B^FDNEfh72|& zNAj!x`ri(0A)%nM-*S!Vc*?Oq<=LMO+n;)`eD>_CH$VO9cYplx>mPo2^DqDUaZ6{* z!Gr(eSHB{5_n&$4*@b7HT>9jbOCLXX-+4B^|Af2!WO(~i{`RY}%{R)m&vfCZlfnB+ z|2?7i&XDKMi03BXbzSJbF7n-$1Rscl5BaX!Jo7cq(xsuL^COF=`ODkQtM*6I2)ao7vwtmYB%QV-m z(~$)VEK}4cRY|4|M%(<9ZDq=C9kr~T9e^eF!{U3Paea+(zxuO!kbyeTD|#Tw-POsxwP}5g>A>r8 zO2tu3;crNdsa@@jEI~hC#+S(yTIr;iCt`K?w&GE3L{vKs+ucFz?WPR$(ir`1%)WM3 zPdlfpgWKK5>tXSFMp$$vgVoc=Yk5~^3fMyNaWFtpo`SAO!&IbWDo^Qy@ zEFK}00URTg9>td&!51AS6dWd;I!w$zLMb>#EsCcWCs4pCrE$b)9t2EMiaqRMVF5ndv zAMz@H%_)74Rq)|p?h$TbEWaXAQkQ1LXE=MZc1ChHc{yv$oX`N^6?q#21zYr@&7q17 zaqXJAXzA12;ztT3Qwqh8<*%s>f&KDx+9t z5J>bRNXJuk+c5y4K6)t?!wJ2M7I zMZ=yLxi2AHl#wsVsaF)Omlf1Ya?(W^?xGa4FG25%Q2Qd}{up9^41P(Bjn;#7URQPA zPss0V99l=aV54WFnRKUFt=rfK?21AQ?L`(gt1N{@YQAiS9( zePwKZJ5Bv+ng;M@hW2{88Ssi%Gk{T$zFZ`|n#X=_gnpu{eyXi~I1az3!95zse>RSO zGmiLr3i@`b@oPujXV%7hi}3wv%!LWWMPyXM+@SQ#2-GK5Pvi&H7-3TxvHUx*g~aqhlFyKc4lGT>RNDkmt4VRPk6}%yvFy= z+g$TD$3oOAmhEMmUo7s#sn0Cxn$6?Qwp;}$OP z7-Y~HJ<{oLg+Sb42iPFuz%CA2SFO4{>vs3L#ksa@UtO?8W-Vc(IXr0!O_+jU)WQ^0 zn?q_#L=BdghLom&as}`Q0Ka+}EFMuWdVmX!$vZ~Dy9h8bWKq|beE50?eZ`JCJ z*t}tzC+Zc>gTRX~+LQyp?TqFoT%cCCe)bAKAX>ku#gfehuxtg-UYe{fv(0@_LK{^J zuxbVjYuKW*(kvdc8Nh9^0#f0$I-E9#>s`?+pcXcl)8+=e!ejUO908vr=y!(v&ah^C z{}-=tIwF9%o&DJ>Uc9ba^afYlL7Oe$G5KxN=0%mkD3Gc}avZt&mlG7JMJ24I0C!J{})B5$xcklhpZ=e0`-#!2PfB5+C|LK#5FQ1UQx_|j7G_`%>&XcWs zPuK50UAp{KvipRw`jox?+0f>ff~~LRTdyZJUrcU%qF8;#4?W=p9`XJ6ME*On;2rte zBgNLoitSG%kw*g0?J?&ywdcx||I&PLe=)qjw7NeV+*dm<@K-MI7Wa9}mxoMO$DCKj z!~1i)=Z#xuWWHUFX@|YAJ-WCpS=tiKt`F;jOqIJ=;c8cUnw4IX(o0afu}T+CX(z}n zB$U+^i_TMGl3V+sw_U z4HdKwmvswj=~6gXh2W~2*sA(LMOB}?s6(DZl@*b=wfHtP1~GuE){skFEjiAPJX256 z>_GW^U-@!RnYFVN@Cs{tiKVT?)>-K6&U5!=SzAsnV^7Z3XO5JnlCu)Z6OPqq$Dx4D zt0|!ynaIHvj3qyl|{ zjmZG>BbcaNpiTg$F$k(f8Z&yN^B`CO2nG|DHrSNL0F0s`odwI_pfWk=6HH_Z9iA`% zjqCq2ub|f_4%8*})g<*ml6q@W`Ww>eu*{x@R9aOmuH-{XV_H{h18byvR6Hz^%GI(d zK4+}Er48Fui-p#Z(2X=Aysa7C*^2M!BKLLC2D&;JT|Lb10ah=I(>KJVGY6Qxy_~iK zuRs+aN0lU?OB2y$Ntp5!Y(*-rA`MrWj;&0?RHh-zl3_&&jrp;SrvQ#M794{XfW5E~ zg)xX|S_D;i3|kb7FODac#1l&5@!)!#P@YJtOd>;)$yG_DssvKiaWdpM1tgwa8B3}- zMk&3Gl9Oqv37HM`=sx<8Ofw}_ zO-U6~V!2^VY2a%n`C5ZSKcg}%XbcN7jZq-ea{1E!!J)Q}ej<^IXoA+37gwLkY{*N2 z<;3IjW7YI<&s z19ackcHYsp-$1?GVY%!WMFlO7t#5A?))6S%wM=sPOJ9a+;I zNy9@~<5LCnxdQe~4t*wTdMa&rBCC5Wt9~qpJX2PGtg8J)UH7TF{!?|s=iu;k#A`j~ zO9TE(!@+Pd@|!8jm&WGT)6`eS=2u3_t7*!s8OrOq<`*->=Tpc>y7~v&#)sqRM;g*o z74914|L71>_h*w ztN;D3=G$HIPdmeZ++qE&)BpWW=XblE-=69G=4|J8+b!R(k-rb%-Y!7zDj*xI!YSfO zMtLGE^+;vHp}g1+(vE$QnHraqn^9C*f@>zT_@kPs8U5nQwAD554$gVPbKX^eS$Am0 z;h(X4X6=A%IF=lCZ~!TQ!?t9#&RZ;VX6vHewG3>#?%)AtSI7)Dj|xTmW`ngA4)EY2 zcmTs`3puSprzPO920*(2k93Az?ug49arq)nZ^-TmI6YyHXU*^3^m?}3?oEel)9TtV zIX9La>vOiXDQg%|i}3@@Aq^lHrhp1ih?RiW6x5r8lLwfBMr&x!9$IvUmfWFbcWA{O z0%H__OL$l9-pGN;fQ>f+v59799MReqr^5^20&sfVP7km;z{rd*TDJn8Gcno0tk6Lt ztQA|-D{O8v*zwzAi9Qm*7G13lU$ixc4?La<2!_pL1#4Yh(V;5fs8$C!3*POrdE9od z$Kmrh172tF0QL6X!Qa)KuYYH=`K>np=`*5(Kk{F^s<60xz*p{Ztp!{=t~uL^Of|#o z=Qd;i>;LtC9_YbGAAKOvNM)LFg?dV*T9j*+rQ;@%)-to~_60+G=Qpq3ID6;OrH7vZ z|GQ+}*-FjM{Y5Qcl+Km2cNfn+)NDN(2|pU}JsAvs%8tAmTK`J4^;Wt2R&)9*@z%@X zwa+<`=lsYcN#vel?Y?UFxq9!VX8*PN^e4)V2fDR8mfbt+7w+s`xqIo_y{k7L>|cEl zIeXW#dTYjiQ}4T}@!Xj3Uz=UKY&v~$aqGM;cv@oHQrmY{{O8x!FNZ@H%+{UBnXqUw z#L!2m6RU)Y2zDZf*7S-RXTU7^ZWXmV4h!bDe@xN7t0giUC4 ziswB;M%#dHxm7homCsUSb0o<;o^QZ##t{Q@GGE)NHVn?qk2+(%i9zM?V|iHerXRM(l-iai3sBHj)}QG<8rTIv0Fdis+q!%X`mc&^#H%3 zd$_obS3u+CQ+c_~0K<7yuuayfR(?U7prBn)+BH_)Cv6&3G%^*{3}xwnvanZ?+oi~C zmle}^a8g?<4l#tU(v$LB)D&my33Er@LU-wMcd5C%#NJ(O?J6;Klq|OuTRMtd-T8sO zTq`wu2AQRTWU`A>DcK42DKUuLWB9UIT77&kB8i7h6Om7fh&e($;1%!kAQn~9FeRHq zJ;|hIuqYX90w50=Y|IH3I{lqapigix8C*;T51R>|=LCyH09DBNIS&F>i~Q%|ifB%R z2~Qt{0kUyo2$vHK5p6BR z&i0O;uED-;=0Got(a#TakjUNJf+< zzzX6U@{Tp+AFIzhTAv@&lpg~-6^kg0MMgmt#i5Jhu*LCUtBR61%mL+Kohhy=fmoAB zu1jpLPomZ*(LfTZwa2N|abV1$Jce3&lv;AMrSxcPSq!Z_rn&ME5%N9}@&T#pFr^B3 zGp@NTuDK+hS{(O|(pYL)47DRh`xa zeBUbLnP3LwFt6eWxAHKz>M*DLFtg|oBmcvJQ^$IXlDkV!$`QGaj#HP0i}rY@cG$VA z%&e$a6m9jEpJvvcABJ5R0F*#$zr&msq1GkvpcEREHijhiK~b%JsB)1}JkgQYRe!QF zBQ+%^y{;P3)yElAPfAo%GS#$PH7!$4iB$%XdQv)WP)GYS3&Ad<>sX&9#1{?L00^43KRdTKI1)FNgS^+Q%5Rs_BEXmkgv#SR~3}2 zO2SnI{<0KvS%LyQA*u?fOCsDw5oKT0eo@wbS>1L`*Lp=yxv0gTS0ncn=nFE!zNq=K zm~>T)zAk~^l;dt`T5fCm?@aXH)%D)fb>Exlyr*lsucJNCw>+F|eQaob0-y(Id90&7 z)=?kpnjh<%pH4PEF;E^)5+6+;51lBU}t=v@i?z6|w1iFu?Y zJT{OY&rly4DfbPedwRk>4fdWKaZdt!0@i(?KUZTvQKFv9;ZLNEk7YFvrIin*rB4(U z&y`i5s34!HY5=?VOw;g%7XIZV`bz`u^(5|<9{);Dcs)scWgr7m@p6j#a;o{Ik^0g| zdueR>)JS4myQ76a7{@==G(T5hKNZz{K9c`ZnEhIw{Z^O#g}(UFWbJhW`idTV zNsGCpL0yysN>+V-wCt7^^QndLyG_mi+*bU@j_}7_-uFB7Z?`+Y*`$1Tn)1Vi<{z(6 ze>zY4X&e7z1pREHI@Fi1Xh`lZjBiXinsxZ2tRwGd$NY89@xLz0N-8faYCs_RSZwXg ztRuW?4XrK(*XM)lGl31Gf79UKFnA)9&Y;2JopyQ_T+U^e0~|!=v@SbLbC%^P)8gdH zqS0=db-U+1zIm^2-s7Kl`xjh+MQ32y9soy{J3>}_*lr8ktzm}+EQ@fg_#LKz%Nle! zLf|nBcf{*o^#merU&!J0yM1B5cYW2j6Y=hbd^-W}uGhEg_U<~pJ7(9`ynPkWh6z(( z!sOSQ1LG@x&5BR8I7Q}D<^1uD!25emA z46kiwxMyaVF+0pN@P~CmzD6`Qp-@atXlIN@tIHDH4s2iBai3Y83;Gyx#V;TGU;g4R znn&~!|J@PKJ(lx9zy0xm=VONd3s&UIk?r4#&;7mh!awrQ{+7G_hPCm6zwunQ`B1&{ zaQwn&+G}rhH-9&I<)vZo>B`>2otsY{J$d%kXP^Gv%NPIr=Jnrw@%q`r&n{hgx_=)8r;?nzhYgu89rO;x)|N(WYM$BC^3p_x3gLgTNriA)_*Gflco zlq{meb1?pF)9`E^ceZ{|-`J;a>XcFVI{M_?nA56Q^Xm2@GdH$%rz1+ge{9j&qgX~W zjg>9hhMox&OHUk~qKf9*WGn3o3wp>1=~a}pk2P^r6xn3AZmvr++o_mt9h)MsC*VEm z`c_44haA!+t?2&$_<9ehw$?nsbI;E7?DTfcbgHiBK+c$8lSIx*2xSBk$_WuABoPHD zOGqG*b5afnk#h!Pn_wGodciN%3zd87RG;dep6Ti7+PzoU@4c#>S)bqexC&fx@HyPy z{r;&vmDZL>79~^LvMMEo^$JvLCsCnebq%of15{Nvp+kjkl0fTPvseu&R6!z17)JzX zN}#kRQQH&g9T0kZ0=+$%364t1=ZJGECCMDwg9>F7TM@yQhp{CobU_J`T7!d&acRA! zktV#iu{>~+963r&oS-L7vyw~|iPP+)QAW}LHEEolXkjI|IdPMO7%l96Q)*-tB((g2 zKO(}bB-V?N;ziB%se*+xV4~Ux@olAXttGL~58vf&jw$^3_^5hfbUpDtzx=+i3~Zz+ z#6}9iURa*G56t%+EgDOrfs+W)QDEH%%9F8q)4T%teN_nXBo7&0hYYR9+-oh5kuj3x z^rZIkm?q#n@DP4c;CFeO-2A|r+`!5#e|Cm{Wlk^`7TJJKs7J)P@VE>fJu!6W~SXw-?Fa?XwE-gb7$qXt}NN4kz94@=E zhFw+7tg2*GzpDqqr3IFx24YhJFrZfimZSyY(u1*S!RWLgWNIKh$-gMUry$O&AQs>* z05s0KH~}yUKV+icjZ~nLe9?&@s6-!Bk~cER8=dNdN%zBM`IqJbQV~pohLE8l6le&w zFqo1bNY3>Kvm-KmNPteH+$E=a0bW5)yGzWth0pv6KKm!-*>_0UzT_-F5?~9de&t~1 z26#Y9^CM+?!XLT5lssQ*o-ZlKhmh%An&w5w0G2b=_NMnVt?5+Q=#pCHBV@*tbMxaGPB?wZK?s+dJi;u1S; zttMxiU$ozh+Gs;Ais7@eVy6V^?8vu^a!iexQ@phPilnNd``MA9pb;85b2P2x68C*WtU9dtnwM2FrrV zUMpr-gx?lXcEywf1^GxrJksC~)Yv^0a!-!gla%hYmmdIL(SbRU6hD$;9?6N1m8>Uf z_E{(Esh0J$i}9?R{=A!drKi2@p}+29yy|7V>Y=~V(_aG5=%_EcDKB;8S9-{8CnQCCh&fPBhE9R^+@?=Dt?tzfpMtBC4WKG>Ff-F`w&7 zKJ5m(V7=|eeWu5M(M$Zim-J~b>1_}3V?FUB9q~gQ@l|)(Wf%HfTl7?mxYpv{Xvv?b z@t?}!Ux;&lDo_7fllpB>(%YW&OI`kP7veyJK2T#0l-NB<@vbO)yD{;x68>tG^OZ~X zn`OyAuDAWqo#ubt)e>tIbpR=TCI~-^Q6TzVKxjKXZpdhp3{A1(}2xBV0RAK90OMS03aA<+mOjN zY_yL6S5<>^+~Ay;aZXM2}!la8qg`_!a;dfGW-m^GSQMvKd2cNuN7GgkYQ#cHtF zf$P50vgoudfx8ygC5v^*Y+E+kS0*is!$x=Sl(T2bp`UWWd*lHToy1u17>}gOs*Tj0K+sU=X)F` z6DSyfa)41A!>qy6@9SM3(P_&B*g@0-AQc8H*!tUagZ(`YfC-~>+|&1aa>nNAUurRU zrnrI?rqedljLl@Qf!(yg4|J#H zz%)2LE)pgOdwnMc0YCYXp*C-Viw2r36wVJ(pu zacxs&&EuslT$JNrevUgaI(X0Rj;~x z4_8OdcXaE^a-*|ZZ(wwcB5L*NG&QuU3oGa$w++xGqZNv&3gvWZV_!Z;kw$GRs8OI> zx(L#~a!D_-qqkh7NAoq%N<|Jsn#Gc4RLIiU(j>Y#p4=WsZcAdcr*Xu&buvV=1~2U; zDf;jd9j>ht)hLJ7b!4-f)94LJl!gQnKqG|Gl1LLJ(%K+&Q373*L~qStwB|8evzToV zhB%5LyGNJaqj%h6h|;Nb1R_ybR-`OT9mGeP2tFnvIQDvs0-2yCPBRh>Y{(=NGE9T? zQXpfr1QR39#f}{-d!Q_gs!xhw$A=If_@g7eO5?qNn_pV4cQxP@*!vyjiS1Pz`hn>g=yrwN)V4ryfX?! zL_Hi#1=p+cMR(Gn^|MonzT$24Oi8sMPYak7JI zp%HvkTpc`yogV>s1q~X*A>?waO6%(@>KhvQtx77Zt`G`)5EULD8JZOn2}^i@NKZiK zC!>%VC8bCLiAH7$C~O|BqMFXBU{rD#Rh7)@s`p+IP?8#O;}w{cKtL_9sX=IPzE~h4 zIiNVv4|?MjabAV7AVuJ2g)bl#s3Z_Hh%XxAgMxUYz_5rHGSLg20(gZlF3TUE8$>J! zr4)rxi$ZCzP&%L%1wqujKuWeB88C!2Z%``Iyghi4(gC#qJ8F`1e5iQ=wA?^SP5>#( zkC+K~NB}82kdh00Z!oPOgq9yn%Lk4F$T^^*lxKJYzCp_kU=;>4^MmO*LDbAZcDip( z+FfDlt%kJQjhS~FvV8;@-u0<>>yqwNK)k8(0cEiv4Y~IQOQTo70+0s_RZ(-55pK?d zg^Gj)cIs+P)@FUdZXBAs%>_LjpMIp(5CWescOOzj&<$vDpmUZYtPr z%HL`%*l2)mG{HAouDMhm97`}q zlCnby>7ktZL`8e5Wjya@T=g(s^wD4SGu{laJ{n|wIKX<-&wSnM5e&dCbhKA`+Us80 zn?BmBUdqcJ(zU+)Ik*vlJ<}l1)rbpa@l$#6a|QfLiMUoHueIpw?viUA?s*sXLW4R} zBhHktb9v!YS;3{e@Pz{UT3O@)_F4sdse)api>^9h*P7y&8u)7s0z{2?(~1133-gH% z_f}u}u@3ifH|`T%*=K#kpAJ&L9Hf2PPyV=<_(o57*;RI}!Ch%ES6cX0SK-TU_=oz^ zx4qP#_R+rWrTwax`s+c$ug9>znkxQm4EC(QXjco{Rw4Ejm_teFK|5l%^G%Gt z8+-3=RPfy}fA9D(|E&9=@Z<-SG7PV=LDn}kYH_$XcJ>~ftsg#G+BtNs?>d&ZZ3~;$ zxpkX+-R@qq&#l^AOBUyX$>BCS=4KqOX}fFE;Tm_iMxE}F+4&LI;*e`$$T2r$cMMsr z!xj%_8^DO!K4NkJi~<<#qXzrvjBU(d1MlL2%dW*aX>kBnGjTI8)My$rnx{-Q&y{`F zV4j^Zd#Xh&bJJG$gk^5jrMJ z3QsnLC*<)i`~m#f(IAhnLr^>`L|FLn zDIRR3u4teR)>8}bu0>8uSPKK9eQVFkWT&HFI;Cx^qW;lI3ScNL*l5Bk9&)sg%!$Sp zS|?W8W;Q!4d+oM^Cc`#we640=g*&w^FdYePkGZz9YWqcv<7t!YLNR|nw()H5{G*?K z`t?8k{Fndz7r*?sU;gqRzxml0AAWUu@%hHdTi4MiGY21!@4Xq_y&l=V7~Xn3v~@hV zwP!v!*gJdt=GD^|&o1`&p154cL#89~LN7UhC>ewD-e1kEv${ARy?U}FXUaZot za5^`bovRehV!39Pq_$C%Mw)!GTsn;v8{utcgvf+$oyN9KP}-*|CDQ`=OuclfRysso$k)H^}*x)si%*6mN%v2F1~z*(lS(B*Ogu&M+$UQ@gP?-A?TiN>M=Iz z49t!}RGm7PB`&B|!USE2<{o5I53*5@XwVh%G}+b4G>$BpqkvQ?<13YMY-t>$Bc2ZU zKzkyqBb6h~u2mKCwMBw%C|_Gx-|v!VpejAgjQSQxw2Mg@ND7qS%H=LVKuPm%ECx`PAD-wkX(45RhnH>QBqSwudJ)B;5CsL93&c*lbKYIk%-Dl z#%HIM<)@bvWuTFnC8Y>FnM`7F$?R$}i%ntCXcbImRVBNo?tkSK??9#aBa#B(N&Ya1 zZ()KrC>5RvNKu?OEZzs<@d|XZKPJT=1FV2oBzU3X?;_*xA`-wVRCKa8HqEy*%b$=J zOfC$g!NTdq;f&%iW)Y|spb}*JQ?mTX=|1nJ!kd}~2nO)bmzwEE&kbZ21TzZ(g$N?& z`I7*DC9BiDSR?})!6*o$<%UqQgD6=6luRF5wl6c^ms8}&D)gu2_>(gO znSfWM-W8^N(3Ez&In%2t$G0KVho9liP4!|Y`jBFM(b4|g^bj5Do{JgnW<|}hB3$h7 zId-(09Y4=bS*gz0;N@*M6m5v$D-zVA662P_XFCc3udp`fSQ>LDdD(#M6+8$I_wmn4 z%OQ|i+y+Tgd#705qv#v}yaJF4kwn!l*GN>|(oTJcyh|k3w6tql#N91YeT%%eS=raD z?r&7}@Wkq>Rxyn$D4|jck;Um*$&lEP=%61*dHpE%?q5Le{@=)mpEMLkO;i-j3yPNo z1?z(BbwSo@efCm)?y>;7+=N(e#jUlKZgrIGi7|&#?6Dm8SXp+WC_MtaLW0{DmmEld ziz(_r47SGF5tST>36B({r&`*jp7FAu^=63m(FpsKk&3q?oKJ=;J{n|u?1J^Whxt;^ zeBHx%)5rX9fcd7M@ft9YUfPRZ(v=?nT#vi##$0NUm!0sdPQ;5hnGg%MG=&-%;09H#$#yz1|#1iv@7{odO656`KMy5;*cSd_sp^+A)ax$Xc5`t*CAlg$I5*;N zW5a(O5cZS53%%tXb|)yzJ0jdaHTE7XHGx!+E9BO74-XqRc9)J$4$hvRUcP>KcDeuX z$=2@i#^(O&%FgQI*81|!=ISoM^3s-jZo}bPv$|Hzu2tjQnsH&%w6twl*_~S2o><%( zonISuEsQ#xBQ~oC%dpJ?I0gV1ANdZ8eb8bXvVaG`I&8JyNXU@MJYY2T&CCo;&kWBP z#|@@&gBfs)Q6sQg$IP~Ii^GF+%;K1^%}(3gGxm9-eZgd#H{0fIwt0tje%3bc1Xi;f zzy>zfwoe<(U@j$a;WpWfCcDY(eCHKbx6QU_wJqAL3zi!!^JcS0Gt4)6r>>ig3qUr& z3K!rdGuW~l)D>`N!vV^G32Z<*W4al4@{XG(r630T`x&WVyHT(N^=AAln8M-FiSMNX zoQC#JR1DUs8B52~`#RIFz8RY`jZPX@-h0KzpQjGmjDt4dSLYhGEDrScJ_rl=p%O^3 zfo?&o*}Zm8?rlB$U& z<_}Nu=YRemdpl(Vy?R}5ucmiE**7HZ8Bj(1w8E)5jRp&&7&RWRncmOT; zi_5wd7I!x)IW)O2tCYi2jBY-B`LoY|^*?_7yZ`yC-~Qp3zxl^+e);)F-#&Tv_4?^g zT~EF;Jo$R;(U*fqANB5C_3m8^9-fXqdSp3&w0?DZ_Tky1%d@qkGyBr%pyNzxxTqU{ z&KWzeoII(T-me+o<_>P~^sC&ijato4wd%04bC=b%LDw&`^s^kjwOT(z)tWF0TYkqZ zOyt0{S_rL%TB%vAvG(;jx_h0<9%o07vwh6nW?B-tRy7;@qYs~$pI!DY?059LYn!La zg#$(0&h%OdPNc8t8WRs&Kvn`q4l0jPB5;u=fmr3A52#ryAQDkZJeQbR! zx~dRMW|Sg32w6H}@+djZOo=p8qi3kG<5b8P02wk$feex3`$;i+()~eF^cX36h8(3w zMzm*#SI39YV*<(__+p~H${@fEvNt{7rv@I{R2m~Ar;5vyJIWy6dBvF0@10kaKd3Le z&ntSdpOuz$=P>;1$piZb490P9QVWkCExm$_ZxYhcj|R$(cd;RKN24 zD0)d|B?D7YL8h^pM0OQ{Mk_1F;jo2xOd%Cj$U+oS5d{Q9E(VoVQVPeDi9~iaiNz)| zs6<9Ng-rvzf>T$2;}w{co74ypG>AU{G70bsKX{T~F~qkh!3P=-NQE~j6>;9h@!nvc z(nKFrqAxnh7nBN!H#*@iI{r2){x&kQ7G(U}Og}^MdL5L6rOeV!l7Iz@H2aroh6e zuy9(@J$g|Dz3?6lZ0Hd}%MPOF1Tu01nE8I}LcfY49~RV)o)3IPFf%itCe2Hj{6SOd z?dA-xmTcdqEMH-!Z+*H?MUqc>tS>UsuR1MAg9x`%qn(T>7c0`uzBk9d4|s)}oxD_) zzE+pDCCJ-ofvriZ?BLYj9J7`m%@mLQlKyre1YXFSXR`ZrV#d<5e&7)y*bGFa1Ri z^;%E9)RkX$m0oHvmz~IK4eF%^{aTBDrNO-D#9nn`pR3RpO5~}c_*4OXqR4-u$URf! zT`2ROsS2(;VXw5PH(l6QT_rENalp0vx~t?`TXL-dzyja?QiFZdh5JZX_OTxSF(4JX z(ziYMFNetAjxzwh9HzV-DF3jh^kp~jLC6=H;x}D|Z*_TZ_0W&?$Pe{pUkr18Z4~{p zyXU{HbpO{4>F;+MzgeujG!S=s5!;=peJSp!wfwjVeJsp7<|m$Y6u#&teKJx1g+=)F zT;tEzn!j+=ycwfD(_%JTU=~hZPicBx?gMyiV5I*~g2Q}#?}yxmL)^?z$1B#?cGgz5HrID{Hurb757syL zm)7>(D|@pmyN;Dz+sdAOZQr?Z=vY6rukKlvx6O+i#`)zL_x!ZWHRYO}oOO;nonubt zsB?D2IXgT%JM3}|&ANu1vx5%j;7!ovecWWgY#lIJ28@<|gL%MU8ZsD%jRt@rqjAt+ z95R|lOqNlzb<6_Tg&nw6pRziqZLW8+YE?=2ai;Eur8P_?~dQU>h|b_`@1f45)p^*3PA&9r%Kv*mp~NZN?q zG7Pwx(J?qRD{t@klU|y$b@%7_iSvStWkJTeAbm%WzFe2&tc)`-qo){AW3)CzXwe_rf>!N4x*}&oD6I9w#? z$q{OC;z5pPy1C!hF=$l`TU0~F7VT(_SWj!x5Sx2Sn}^WNW5o@_`TW5wUVjF+Czacs zRM!Qm?T)Y2$JOZKt2-f8^2AChq(Yj&lEpJ*u{2o>MGg>8Q$m=kB$g_frA%SVQ&`dz zW=AqzltgPzq&7gve1IgXAO-AyCCnxBp(I`&QIJAtiov(V;u;fBwaLW{1hTZMq)<_w z(o0GhBgdJjF-B_aG&O#lng|%h2pKX&gbWbl`bZCYNRj=-$l>zHF?^&3ey=4nloJ2#lMjXL=0^ZFe597oflkL7*YuhtSIth7kM*_{1~9X++*hi*QEOh58tZ zIn%cx(~qC&SCQ;Xi1md>_;OMMRq%Ue@&gC`{v0cMkrO#z@xWaX@2W^zs7hU_N#EdQ zZZttR#OQSuVOfT8i;HI4a$W6(u8v|`YjJydGB!0dF4!kGCA9=iWUw3gLb*iVtL+|@ zt9t>jXzGwRbtoIf>V^(geVdZoEU#^r*R`m)Z5nPzSDm=KPO7hw>8s_sN_jU&reSx; znXMgEfsnxAU`PZw772yr=Vhm33p4rnqTZ?!0}t!0hc1I&k+#CmT&mAn5aiA`7PwoA z7MfuzjnMUm!ktFgK{M(^RPwOB@q`@-qeTLQQ(6pjMeW5P9Qk7jQOP_&tB_&Uks1qgZSOGmz6+KoL zpK1_KyGpLQ2`_ZS>n{A2rsPtMzEmQgD-huPGCBN80e_)Fey9cGAfM_>KLu7D_VeD- zuZM`gn4tc0lKRak@ynsI&-!tn_F_NLqu=V`pX&?1)a87l&AC$MJr);ScT>JKivM|i z=3fsD|MGa`zdzOe>ahL8`I?hS!clM8v4Zfhg?Q3{KH(Rf@KVlN3$D~mrV;xhK0qMg~h3b zrOAb*iN&SyrKPdOrO}1O5%>JC%RT6r>$lDJS)Ki6N59EFU~&wZoFnGhVKD8}JYbvw zF&X*+wJ@26%;sT>Wz^zP3#)wsunV(&5*#+_m@zwyH@Ofdo7rfyc(4Mi*={o1XDp6) zfbVpA+GTh;W|&+CPhqUV`AfaRg`S4_o+fus%Y1+P!jN=+ zNG|6we*D*e2^OCG_;0aA@TS^EQL~&ckWuKoLMZlc{^rNuo#fB{?9Xax%(us9SNmtX z8)x>Vvx$YLgUi?Ywb$CUSDh=*RZFLx%jeqF7hP+g^lg1Qvj55S(Z^GVACK*PGPL=& zXZ5Xm<*j(}laA##9jn*kjf;+zvyQpbcI%T?!&%eBQ{nI>Z|qs^&H5}huXUaTDm5M-R4@2 zgCaAdM25V^iEP1WCVw!U*PqGl&#E2BuIbCD(WTXBQft&H)#{WgbrMGv&r-zDr4MM* zScW`-t$j5v_y-1wBJfNtF_lt{=Xu z2boX@G?4BKh!5(CF?>Rd5FgV}8Y9HT2yhPsB>?vYSb*qybQBL6$wfre!SB@p76A(f zRvtVOz~dDWwMF4o1)&wWpjR+*{OGy9j67dXVL)|JP+f6IJs=gx@CIbK5FYmZennAe zZ6Tl{fsAZ_TBbkPx*;D-wOdoXjLYlqZh@I7UEx;R!zQ1W+nqad%*Gx4^+LbHS`afUsInjgtg?Xz zb720gA}=P)mr)$bD2}ek535P{<0pL3ka(*(<*q2*rzO*`G0R_&9Z-?thmZ4xMfk8% z0_CuKGsGAh{lOgT!AfQH0w>m8kuY14AJD(#l48Rg0>!wX>qNlO@tHL>i`~n<>{8wG zu%kA_aXb3B9s95y_prV6kraO_C!VV*7oEUeJZKk}TKc7id8uYRSCOBp@E1zlb!XWt zE#bqi^4Fcj7fRxlf_SAQUUrh7c9I^eOOI6OJq7$gjXKg`9(I*J(UG3^FrW9Zo@+^$ zD(rI^{F$WaqP_6Ez2Ksw@R_9WS`PcL6ZvU3<_kUUOC9zL9r~xe*q;sKe?3Y1%@paE z1RW&eCI|A%L5|MuGbhfl4) zyX^a7r|p@Ybvib?N6#`OjsT7dq;R61UP0GYT^$xM*U67v%5$ zBKB|o^8R1_UBrL76Mic&EFdB@GVVb(G`WR=T$$coAmPE8r7mQ=;BZtHCA zo>omPbWSXHPp$PCHpcDSCimX#%D!uDXKsDVy}7ZpyR&+@zy9cG{mG-Xv-8#Sr>kdA zR{$PgtR6pJ-#gyi+}l~-+Fw~aSY6v%+g#b$S=iijt#3P5w`{AMmemc@>V|Q3!?3n7 zy|Fp9zB#$JHom+vvamEbyU=HI_gH3o&CWifbHL;pvCL1{7RRh}Ll#@FX&S^l(`z#J zn~eh&^N{78T8sl~VX}@HEn^1r_>8B}qw0-Xt-+T)^ z1f*zl=UtuY=U-&n>~p|RGCph>?3#`Y4*j7F1pVYk3w0Uu+*~&oy2ypDatpV(g$q?V zHfGu+88S^vnPFs_DsmTFN)NiLo=&zt9_AnQ*6eh#_qy0w_x~uK@@N0<|9sfXKIyGE z>E%4?t$Ng3eLBFs80L3#K$H24|M(vi)Zzne(_UxWrb_CPOJ+KxqhiIhqH9v6qoPZH zc&hlQ`zxjehh=lfu+?SQS6ffyvlmj=h0OItHv3R9d#0Fuqi}tzbpJxN{H=QR>&}g@ zw3}adZ-3jp^Nn`*>(0F|H3y$+jz82qdZ9kLR&8G^R<0y-FWPLcTMQox&2MV_<2uukz_j0F+*LUbhZavPo2QfWhXa<4?uq#kE1JuVJcfNUdS6o)Q+NRhoE%>Io#e%u0DgS%j9*Z)oCGB z${3a;n$ZEQ@f=w^M+vFyOsdo*bGlME+SCedDzh_<)ZI zYY9sPrFCSGWLdbTe0T*suapWcXvU`WkfMgE(PPxONm|k*EqQ{L1ORx&AThDG6w*hC z?I%X{lS2E-!+J`?^q6olG>o4f#Ec7|#`zQD{qYH4V+2Z;KeHf^i;fZz6P3(N1uacR zPPsmL=M_`xpeFKz22u>47%L>kHkHRW6B3&6@r`A14W+RSfM8$&?(N`JF!KUf1p%zW0KhA%3Il3jL4a2@pduPk5kf@x_j#MJ z&>Cn+MSc(i3>o;7G6RU2{=}?6Voq>*UML|ys;nRZ3r#P`Nl8qO4~vOP$bb~1a~Uj5 zT_wJ;iXyIJiKZ%MXyNv>~cK>(pBxEvZ%o(Gs!V0lIWDczrv=Eukk0QW1Pp_Q=E z3U~+`5yVD?S707+aEaCM``qjxKIB#d3L`o4vu!-{BP<@R9qC$XyY9 zOAOnVB6j7N14Y@staM+31&d0=r~?V=NQ&MU!*@i`&F0*#=Dh8uyq%`}{g$G`HYC{T zLX3MPE`21yKarK6DoCJLXsFM+XqP(rWf#Na70hQU%7qdfKK@*Vf6+;Jtto%0Dt{p- zTuTX;^77}3@~29|6D96Qf!bFfj@0NAZOLOD{!B-@(9xfD(=IiHYZc~7Ui@4Py=coj z7v(%{%YD|KcO@x!qlCTHqCW3Jf7XTiOpEwJhx(?! zem+|EixKRvh7i9VDEv&5eJV;_sf|Anqd%T%|NV~rU(Oc)<=XW>KC%Dq`S4eJl9zMU zPsiz}8sfvI(h~vdaXs{un{(b+_*9I1t}b0`fsI$DiwO@XnZaqHckle?zw-I(4+4Jd z8}dPDSYT|#{j{jm!uaCyG*WF&O-EsMYjJfWx|)xz7T~Ic_?jk0gR)LM*wkrg)tWkV zW_hnwJ7n*laDZu$7U#6XX`GuiFV0z47Hk{K*6j`J-j4O~(0=sLdHlq6eCpnRw77G$ zvU#w%vA4Ir1F*HZx3+b-vVF9?eYCW5w6J~X-ac?`?>o2m?c2N7?OpTMwrOL_xV|y7 zvNpM}GUi$ubuNxN7RGD~6ZXYv=dy8jb;h|g?r;s+tV4Fokli-yu#Y$#qjr!nn{(Xe zoUqM~TO6Y%>+prA^C(M>9i){+bY;?}pUDNj2X)qsScFGEl zKA$jq)WTyIV24kWd&WF(uq+s@izeHW*}iOctXQ0@0M^+x%j}xjzGO1H!TuY@n~KzT z)gopyfYV}j0xLKq9jp&^m<``!@=OmgO*@Sq3^!ik*_ZfUDt^EWnDBYi_~QHhiU;3( zJMDRCbEp00kNg*3WZ9hyfai=4n)*8@{^~#dQ6wVT`>$tfvmCW~_FCv%Ep(|4y3U2p zRpyu&=_91XNqUBnlW*t3mpjV$bd^sg8XgXF_j)V0x|qA&%!0T-9ZzNypig_)XCM{l zJ)CF#)${Enz$kw7=l{XdSazBNK;@Zac(Zh$^4<9c- zJarzQsb_at{qqGKX1LT=qI3|{u2Q)R+u_2rIZ0wmg?xtJIjI;h4g=n3n;SDN_D!uR zN7n1QmvFMVycTYkX$(~wO`b`Y<+0^Ol?qg~9A7J=a>eB}5+qxe zM^zM-HKUL$LO!}0mLtJI1}XPOX;GuJxKUcl7(Hd2o-)Bm8Kou<5|jGM68rJ7gT$y| za%dkRtQ!}uM%@z?gmTk^=|L$=`X! zv?i#T9NR#S6_Vl_N%74jNGmb1r5w^sh;PEjHI&5)aWVXo2Rw8%7a4iu6*VxBy5a~f zJhC1U#e+xP>{`@7!-3msz!NwHL7c*%N@(B>HAO)@c&HF{uK{(B|AYOCT4-=(K@cl9 zfaa;2AZ7wL?|y`=0Kh9q`G8kMmgL2tauRdX6A}_1gvCTAW+oy^3Rs-dx~g(vC8?D| zX|AF*)-nY3%sMWEQ%j>&QJ6JUP93#|N3G^@s=3@MZqvK`iX?ALGJp>z87ve4K2SIv59+-sNfJKxf+$!~ei@${fR>%h>i64|C zeE|3aAQEM1cgoW5-~oUGz$;RI;1!9t%93sqlJ1a_yr@Y&%p`wSY9KQsh?Wyf&JDt6 z`(rbG&{;kuIew*i0cCjsgq#2(AX*uIrLZ;^^^p$dbrL4PBs;!b}s>PZbu}09L?C9vwwlxils?9CL z#m3_GhPKjzf|I{75Hme*|oUzx&wD9E_o&?xsYI= zNKp@^h+{eYu^N5eg?p;QKkXts)096~6Ry=IuT-d4isCCt;j^~fr>$AfMA-nB?YXaH zg&(Vm-*$o%Lq1U#ztzA2wfL$R`}F|s>p|St!=>Mjl>K~+@XHC}uO%r82x zhn_dW&f1F4qzHRmwyZ3clogyE7Zes6^p|&n?gT^!Ms2b%ju0+uS2;?`@Uzw#j-VN}aq@*QxK-4G#2; z5BE)t_8P`}O;bHqlip$LnVTD2S{+^6ncO@yY#dtGkDMDv3!4wuwoW#-Pu6!%)^<+T zcOPx+Ki)bz-8wqkIC`>r^mzI31h^}l+dY`w-ksgrac*uq);H~Io7R;L%Ob$Kb$$)N zHoxJR-vkbf?xm?Y_mtZ`J-;xsurxitG(ERC?OK?g_268bu+NQJoP!4IpwT*L0&7|a z%wUp6zu7WqwGP_=6>*N*oq&f-SRLaYCOnJ-UIA91%mPeV=4Pzmq%)6EEQ0>v!DwGH ze9yAcwqUf(8_jbbTqcXlY;jqv;6zue?L9XSEwffLfYWN4wU}njMh}Kr(+oJm%xLg* z_59yR#dlsY{r~j}qs`+L@AoUd%(Bld1D-QFVC<3({D}#~`u(lBCfit@XQ(Q$RTs|H z7Orp$9h{sgdRl)uWSp60u7k}r;a242Z9V&FtZr|xa;t~6uBB~u(evYi{^V>bYW`y# z=ZS|?edT#ybxhzL;Q78P#Cd=1Szpb0U)@Dt-FYAHVSmHkQ1jM^Xltx}bFyP=x?^vu ztvKWUA0?D>>2qUx$Jn5AVtjVWFh6ZsHCVQd)^($E&ah~j*%+DL(oJs5#<$wWx0}az zgyTE>$vxi80oQa?XMI%bIInSC3Kw2>EWhbo`?!1UBmK&&zQybA<(KNU*RqX|w7VY< z9(_FX|*iZ`Q+}I+_hIZzJ%>^lyy1DT~3;2maKM{D;MyxMY3#`E;Cmt4Uz%ZuxZUSyE8bm zp&D9k>{_JB-7t|eO=wGPw4^ke(;EzV!YMd^3{^jZte=3_&lJ}iVEoAHQkPn(ORLbPu~cacSvE^rP$`4g%1i1MWTBGX ztfC23xN0?&p+=N9mtz=gD54ROsV)O_B5aHvIYN&cq@@hgQ^y!-lg#unYT6Jfr5~R( zK!_VAMvaj}`|)8~>^&(wq6yp;52hysP#^)MME~++e^Pn?;1%?|fI4Jk3n4+qNSD%5 zB$TA@y+Rw@LWygn#5GXjo5=|+WJnu1v6TdAAtp2t;u`U>4W(dAq#hg1Lr2yjBWe-% zYCP?`xrhiJGLnyq20=#EBclM*xaryrPy-7As4fbw@^}Ro9x6bF3y@*F;*jtAcozV- z;r{d-UrMGAF~b{-2xR!;v;2vUF)kxN1B*v+s!6p~ zq&g;^ODW+o@%(BEzn)p^@c_9%M!yPr6`2Kk1+9ihujX>9>bRA)4L4p^<1PrO7Pm`NZvVh5J}67NMM%6&OuR!$@}?*I zG1CHA*}=?$a9TkaJ|_^9;e$-~L1*}2GJSDbzJx4aK(r_sK9qECO6na_s#kfMPiY$P zn+c~Q;yCz>I!Yd&UDQ;KY$9hhz@i0-UJVI%niIWRlYN@f{P>vxbvc2w6n{*NS6=8X ze2i~hMu-9y-G_;s#)rEop%!AuBq4aHG_YNg+EbE22|85<(hww$^yD_fEv=Ecxu zIeJZ1wxTK@sLKc3l8_mI&WMGkW<#?}D;N!O#lXwz5qFs0CZ3X11z;mzcmoyN1!Op^G|cttx7>5?C2+YL2*zs~Tw3jkoJY z6&jsZDIb(JnA%y3E!d5wqTS}ggO&n39aj*_c3 z?6nAeDMCIK!OunT)Ar&=9k55T;&V0ns=M@s9)G1Ny;PQ5%F!>C$PZPBk5sUi(t^vj zoM$Z=&ss78o{KVHi1Xgap&u!VK2$*8D4-uIivYX$REzvfhyJ3kO{K~FtW!tf`X<1&kuB_WuH|^^?w$*Lx(xzo$!#uxc0ZoAF0p@wLY*jJD0~ z_g?YSY}>+`!RQ|DH?;Dle_{d;{C+%HoikpQH_FL3R2DdD3KqD97EbmkEw!7FFv`xc z3QaKjGs~YEGfhYg! zM}IycC^;RhJsYUL7^;3gTzNHG{cNiK+|+bxYkg#IdT4Jrveh3NIMz<=AMK?C-`yK+ z-W}~Y7*RYN)trs#uP6H6P7l7C8a|mET^k>_j7$#pP0MwLX04H@F>%x;hSoyUIVrvK zq`{5ykt4$R(+bneX4glW)zA7jKN;P8IlcLGZ2NL>_mzJCt75$ z{8GO0M!xo1u@2I^@??Br+v;{NI?X$_u}9|K7wh&f&h~%t>8p#YYxl!vy&GrZxr18M z8fDB)ADXM^o2~42vbq=OU8@w$Iz_oamO2D;bVt~RMon^dbw zs_9Cq)`4D8rAw{SrB!yNRjATf(j1PYuvUt!m*E?gz)f6@tef4|UC!%5ur(#*7AB6y zFD{azQuTzGDSGGxBVvdi+e=Fspr?&6GA5Z>{dA0i@)B@>JlSH-M4_PRXoAL^R>!rSvojEm=%WygGS5&r}=IN{w%# z#y3(ETBwj#N@6=DNkoRUk`kKBiv7? zP_othYGVU9Kg1HwclKU;t(e0nSf|4Ifgn=2JnCzhXtm}2zK{Z*ywa^>r z{M&eBL_w6a6&W`wAt9wH*NYRc7J+JU85ws87?dPk zd*277EcJRhKnh?KV18!B`^5^-E3VXlMscYQAO+xZUFzjJP%19hXIyE>yxNd;4I~?k z^_kb|GOpI9U#(5M3K&K0#Xbm_VgU)lrUm2DLI{~*jk&jp@O!v|@VeZa6rcCj^%hO2`Rq%(+2?0%mv{4ZT|njldKpHPyg6NR`Z%YA&rtK(FBu@>xZ( zoyk`jiC5Su*Z7cNc19>YJB*fllaL--85fj)?@D#T4Qf_|s4!kz5j$8HHBGoTjtzG= z+_l!;8N!5*6C$RY?k{v?uJTGZWSA9M&7!mnY(w_mD|+hfop5nOA_;M~Iwu|h$;?YH zA>uj}3bWN2F!Z~XTC==Q!%?W(BucWVuLQg!D zT!wlmt9&f2cqXlQE-im4DSIv{`BYN$R8sgEdN|n`C5y5tt$V#x8(Eg z!Z+Q>FMAMQb{D*s!Cs1UUI??EU+_Yd^GXW)LIMA>3-LyQc%^{9QXoF>LIS+%DSE9c zeWNY^LRa~P9`&UG^+s0(9xYL!o_3d=Ns#-z+%tLU=O)tkUf!Q46@OXi{r7dvpH{oS zUEqH;)A7PhI9FHh^78lD@MCuIIlKIfTXMoj9*Odt#MF+0C}?Cz4!UD3(t;&T-W zp9;Hs%qt|pB4SfSPm19UVIHq;`bwiT| z&ustLk}a_AoZK9m-tf+>kI!#Tt?Vvr9WC#kuI!zz?gR07dFNnpdv|GTXL)O9WovhJ zdv9%Le|`60ZTDbxdw*qXZ+UZXX=873V|RXiXL@yeVr6q;b!&2MXL@6AYHfF7WjnC6 zWdciV1*FQC5nwkcT!Zb5uo}KNVnzjTcY~y~A zF&}^(@QTp@0Jv%asKxlykZ*d}2iV1|2RyP0#JM5gjN3Qk8lQHKO*=-X93xY%(P{VC z%rIE}d&c9N1{m>AkNT&_0wCiPGam?C;GZ7%fsBoVjE-F}Is+bD9i1Ej>uChQI5sf~ zGC4Xv3C1ySX5=CP^&;28C;ypOyx%?9_^VeyeRIphqZ8JC7njEUI}?bx@v);7YNO^_ zC@^2? zT1zsH^c{!#_5(d_U*FbL4EgD;8&^MC(>I-2TOZk|Pwdo3gB=gOtn)G6`8fB?$2lEi z91ph~I*G{<*M5G%MLWe?=81>h zgL`cKQgindPBBp<3zSR!m2w}dd%UK14BhJ`^bV7HhlyQdL|K3!oB6BtL3Q(5^YP5 zfh^J0b*f5;Jv9wXYBfesp5Ipm=|{&75yJ;bQ5Ir?o{(m0%(4-oZc?6$0JVW$0kJkD zIx#VB>^)=6Jw<5*D?gG34R6Z0jZY23Lc%cVVGS8K(OF^GoG^Uu&DN4gPHlpekPb+N z1eg4GUcm#@;$po*0Dwv6qd}wK)Wx&w;@GuuteRM6bqwR;2`@<=*Z==)xK$z1?IDwt&vjM94@Kl2JIJgh1IMk6c)3k^c&1l8vR z*X4vZz;0p-?hpziFz~4A-20`O_u=Vr*%`?x8EG&?0jd^7qToryI(%I*x-^7kDlMoo?V=kg=oObMlCD%FU9JQ-J}#sp3x4XKywA(!jZ zFE;>Ek#Pl`c@>>?4I~@j`Ul6zxL%)etv>x)L)vw8S`a!d7@d9rFvtkSe$}Gd-juE3^d~hED^%qTt@us>GY*?ECD(6lG3r#d3G`f}++%hxg)B zJIbTbxpDBMlaC7|X<%5RxAdsNw(0FMb(2^LctsPqYSG&)>}e78wThMP z5*1yhX2>*5xrQavu;m(#T+5Z~cwGiTk4e-wAW>PR8k=0}kn3y;y}8Sv)2I~=1;Z~O z&T(s2ImKJ-+-*+w1}A5g2VEBwYzvF_#TC24@=bp6DhIL5g)i~o^ZbHE9(;w30Ayo> zRkXn=-r$#R3d**GW!oaaD~i@R1%Onnv2r)LdE0!zD~iv%DlZOtG(1r?0P#^@{lnhc z^PcLn-fFPtX)o%yr~F7!av(1}kQE(Di;kqlr@*%)#gC;Wp91&vu9DZ?rLVe+UjZi2 zjd;~t^hR0og{t&RRp~o*$yci4ua(HJ`wG79&HK7L_gz=cTY1)7S=N`*%r7MwUq~{) zkYs%+%Xue$-x%)WRcDR?Y}Kadoh3iFQmx!Wx0Qb+DY zOYU4p-WDHzE-(B{UHOFx^R1)lyW#flM;YG*cz>8+eI00j=Wl-Dz?`egb_IF6+=4@H z(FwQwgkN$bL>`Lsy_9ruNnCB>-84vQa8A)bz;XXpK@G()W1Gck6iFUMTG}KC3078~Hj(x5;McAMQ8#t;T7)&Ts1VXk^1mvER@$Z`H53 z`WNhmnE~yDNj+{*d3CBmjnbx8nN(`6Qq$X`k#=jv-Fi`u_%4U}k-PdUbCKUn#_c0M2Z-M}>Ic&; z#@;jO9-jhy!#O_b7z101*heSqBNL9%N$2R4YYb!%U>r=<7{0*cpY#T%yn*QvkSV}7 zM*LvyP{2AyePG9v5paEDW_0}hX;#2ArpCr6$A8>I0T(ww3Hh*%G6vS{x)6_%fa0e* z-rxW5{!r@1#?QQBeqnfQ+}>}I&{==)6=5IQ+OjPzIRnkm!8X`n1Z>> zLwByXTbF44OKqklnsJ3;-R8TGgq~BbbBEEt(rK7wnWnk@lLAXXWc5pIKB?0u8}!MB z{Ia2d&>rCR2N*gZwbz4}I_rcs6yH|LvlVjeaF!j$utVvN9ELN8F_=SlWp~(fXqIe1 zEx_FnWlpoQpiNWKsjK4Z(NaCR*FcbHs%hOt7;$Y)Yg=`-9F?Q1OSa)-hshCxP0<6S zL|r2U^omBPn^ox0xERE+YGZ%_ z8;l>Sae}qJFN%A!s{mpyN`HezzrpI?VCnBD7FY&6l35JkRU}?6Pxz!f z@lsXNrP}0AE{p;M4Y`a?1Ek_II`ax9^9nZeDkke1NH)NAG&s19$pWiuVlsoU8Ns-W z5G>#lnV}6C!F6fDwHYCG**DOzn+>^Pwb{XdQJ^v|S7%Ch|uP|FYdZSIH z1N6YqsnAj+swPn{NzmOS=xP>pwTgOZl0K$X%~R+EU3y`+PSmB9bn6s7hMvCuKDAY) zb!hZ1jbTu!bM&aK3eAAb&@bsX_3D)a-8`?bWs-wlWR-3(bGDe7TkPyjUha+vaUd-_ z>8d?cRBubm)qe;1xw@it;CYHII91ANJKg?5RHQt~ymz9D(IJOZH_&dotvXEN@E!-4bVR zi?ery&^=M!u_*sc41Xj=e%cLKMA2Jy@mp2lTP6Ih3jVdG=sR8MA9dy5tBbxlR@M#PQhGe`eJmnABU^ zzNKEdUnX+$IeHdT*51izX>XynlUo`1b`F6lA`81(y44+O6W3^y+T6W^BYKa|Ha6j& zoEe>2m|R$1SXo=!+}_?h+&etpKR!7)J>5S$-90_oJU!YtJ>CG~$bHVS zST7F1f|@Z3R^Tv^0(ksW?->CPp-h8EQ35j~f!Wc(+?a39 z=b!cYXZ*ftzkeq1p1|xxU=|qo-_Kv{p#W+zHagM0yzyf{(;wa!(c1j0SLFESXFX#c zN54TQ=Kq}u+za{b04<}xHPcMZa?+qLj>ZZDRLrvLKQwtLB{@v9S#M1o%?)CtCy`Q-}K+jD0n-4UUrENIc_be?3X6n9~ zw%1SJv#^hCf`=~26PN6XQ~b;(kYkH}{uO3@{*w{m<5BLz5!Ry-`ln;MkQw+>5*Hp=jdHFsr)LPOKNt>jNUGtuUG9;D@XOc z-u~|X0lmWF>a_SfER&s~?xR1t&i-@g@O$s>+mX$ew)L0l)tA!c7viZC-pD3raDnYw zVY}8@&YgDq9@Tz8wjH$Ew>#~tJm;d)GiMv09-W*Vo0#xT`F%6~(S@numAS!{h5ngo z?RY>jILbD;sl8Ubbf8{ruNDqg@P~^z!w8nAfa%R=kLIz*VC<1xx;wYSk<&Ji)nd$` zXtSHO`K`vH_Wp8Cf34Jn?=zw$s>)U=qLu?Zj(1j4^)@S0uY*#N z7F-Q@MOskB2d@C7qBQABdCE1^#an<>To7EHb{&;^6_s+iGWl|4(j`>VCpF2J>H(d2 zZxruIzl=%0jLx`>`2Z*w7hDBEXI{f(Uc+Wy$7Q}R;vIs|3dLmse~TOSnPGKVVHZiN zH|ldk>T<5vWM8SxzTA*=1p~c`g9Z_xVZ_`!Ey#FA6;y~T7n16@WDK*Zk=NNS6HAmD zol@P`)5BNDTKUxSj*@tC-0z!XKc*#KVWtLkrUkcUgix|Vv8f@IaX|>cE0V%-(4^MV zTzO4~9iKec95YFZ2E1Yj8wq%YAM}c-xt7!=dfqCxY*|pYC@!6s0hG^6D`&-(UKY~Q zn%#p-rXb?raZ#!F;%dtpc-(Gdzt?DX8%++a-Xc|+mvsN{r(^w5UhhAsbXl*KurB^#3H=4!$rY?g@-z#xS zm}5NB6dSd~$X#P(ZLo8;xw*Rn_#x;OHHTf*+lsO^S>du6xyVP%ao`I~_)2H~Mtk0R zN5L8cxxy}4=ap>>%l9Rfd*ZSkLE$#9V2f9<4R{4Ve_w<=mXfPl^#io z55&k_A$(hqx50<53o_RQsq2EI4PMFy2eQS^*x_XF^I-e@{2dN-ot3ddhb(p^&(V@* z+Y%SsA*-F48}#h;j*RuT)b-Y+^|tu+wwSfHsAX#8d{e|6Ibxn1xzKcfkrKT?iCv(? zEi}c?krQS~3Dcy+31X73F~y5Zay7(TYGO=P(Z;G6Lv@^{GN!u(cxt%Ag59BJhGSA9 z*~r9UD)d}g`o>i8m9gS`WBGT+%5Tio@A~V$vNe3;LVxSQzOmOm(Ul*_k-HMaju^2e zMDB=?`x4}#6gkxnGdE=N;K@~m@VK)2-=JuhvHY8qo@lxW(x!$rcb5<)MMN=zB+MrX zGKk`YMp-1GJFZEU(qe#i4v^%w-hSuk$l#1`aCO49J>^^*w=NEu=bgs2A=~cA(BbIF z-r(St)w*UhuIO}&D)n?v&#+ix=5TsCI=L;hW>PDrv89&WQAuHzxA9PPaWzL?FYLuj z)s$|1yVA_oT17@@*MM7X_nKT|w&8$#Y-VI)etde#KerrMSe;l}3#_dBSJwj@n-g2x zlRLXpJG+xxyOZm?(;NG<^9uz zz2n)PgQ>0Ez{ZwuZGCKIWpsIEWO>EAwBlJ@_RKF1&(04`&$_2(1}CNl1CxXPNl*-Y z6MqMI*u*#K02rUJk4*qlWCxkFjZN9cChZ?y2EZ+qG2cbPhX1Fe(82KuH-Had@`4Zh zEW^H8&-ly;aQ7Min}pBz>lHt)T6|czxLCEA>{;3T;1z%T)B83hTR-lDeDf`IVrhPK z%TpyM5|8G4?JlA*#RaVqbt$T==9YFgPe zucRy~o7a@o)xPG{KFUgO(^?+|5)t}$Ug2cd0k*Jh?pQa`R!wb9m6<<(SI@88cC_!? zT8}I(hZfp_rQ^`bICXFyx&%)Kg->0AXHK4=A^+!Jq1VA4c?1tVya&Uahr`S#9{Q)= zj^`ttFUDCf1KgJZ{&T@r=Jfh`on~3zyKa!J zo29E3>55(AxA$4CrXI_nqTi)3*%gKXsnIDkdAa5QtACMh*=o0)(5*)->jBrgt8nk> ze0%oU{r;Il{q&J)@wDZW@`y6@kUaE&F?u4IIMB`QdRBLqcef4?HxBn!jir_XM2YH{C*EjT{c)1%b^VUd4D}`evys<*=IFjc>@cnS!SU$&-$8^CuZBUvy zyHyWu)#bMvke%jIj=4%|YET+$#eEgcfU-PqU>T#TkXk^#M27avxi6oyU>!)AnG(l5LM5)4Fi z`VCCx&1OUd6BQ={(=w9)uXy&8S17}Q86h@NfKA|`<2ZFOEWj(OBk8CJdL^JD5zOjH zR!tPUHkw-xdIb-#3t(LHUMiy4s7R2iA3;UDpW#$S0dP@Kyeber05GnM6g&ypP@p5^6`vQ>n0JGi7f#BLX)n(aHP)z^G_8=Qkw{eX zZjDl7Fb>Vr!oswX0f_ouIcaA_V;P~)!KforeCiz8CE4vBQ{t?YuvIeVa2`#b*!j4l2;x`O810?I|4Z162f~6qe%=-ry2j32W&{2+FI2rDm?2@7RFLp!oVX<6Xki<)txDdT1%7$Ma=bzxX{Xko8<{N zi{fs;qeEbkq1ktDX56~dkQSrCrfoYZ+*EVgSGnI+vMGfx3!&?xyd5d>P+mOCMA#a0Wfd9tQbbm9bx;xMP7O1*QISqF zWl>d7k~|;B&m-{jNCFr|0Bx3JwREMo_GPxIvS`}e4t*6LJj=t^8G8H8{my|wx6SFY z+3hyF)#kDfdYs-7$Ee5bc57{eedeJ)<8Ys0uv=>qb@j4Ef_8RW3j<5)sBCO6Au|ya zZa!6zM-{?ag!ye^WQVkrE=MuD>N&kQzPd@IZIc=pax<^TB2w99T4$Hh-P=E`w0hOf zG3}6FKQd|Z&kRg0+7?y^mo_{rn`0|mfs3_>nXSXQ?W6e%wOHCYUEV!g-Me7-bam%s zWAAM1@WJl!!|kI7n+Ip>`^Rg$hpXFr%bPn3TRSsbyA#`cfvugu#p~+eIB%mMDuE3Pj5907m+X2R>?Bjr7OkAvc z_^cyfMko-$!3FkF9|)Mm@na$f*f@UDH99poI_VyryeRk?@QwmZcrUUnz(fnM#p={g z5%h}j$)2?jebN(t_|ruu2H;$h_doJ~_%3&5dD%BQ;?`*fxa_!FeCW}v z|NK(F`}Hq(^prglb;r=WrEl8QH!W#M)v(xq{nbBT|KztFbkE^;l3H;e&OT3_6uM5WzYP*kNoPhaoypl@z|?5AMSoUBz`h1dNLw< zIx0EvbT165N9^Wdi*DH5H*AnPjNK-qN@dh{8*CDzhi{r-YW?kfzUHp+Hf4ZrnC95# z+4d!tV}-{@aJUUw(G{=JmtJFCH%L z?b#+*x?IzOeqX2BOYIqM>KP^W`Z3*sTDiYcsl;sE9}wDqf6D75}YQc$DGb3^q}SN#vvBxOFk?n)|HkNG2+RQF#xDEWj43 zqd2wEym|n@E21yF;ywqoh)7oDJrLAAcGW#L>PIT?vCHqVEADYo5&Y^X0YFux02Rpt z=F9H>%qwow3U5*2VWd1TffKl&Hs;^N=iS1>ZliN=Ve{@13L;6!=$gFP{Pg&Qgv7+; z^t6oJoZLbL98pn{S6`W3Q;}U!3N0$mt*9uhtwn(yLP+G+<~9b6)zQXi1 zklKt;0KhA%e)I}ZDiSUg$A1DuaMc3b5V=|fxmJ@7Qk#CQF8yjf$Q3jw5?65PS8-`q z@IVBdA^kEI^omPp$R_{|X&*PFeq0avxIXpwz@Q=Z_h`r^;9cM=gv{#%Kq|6=8?!@* zIbnp{ySTh4Y+fW9dK2uE4!w$jUBTyHYAm=+D!5L9hmZ?yli@KWWD29Mtf!M^?^O?( z?ZdX=VYhGC8yFe|o|~rZ-r)h8&R`HJSU6Tq7AZBjDd}n}B)Bspl$H?++^3o{Lb1sq zRdK;ZkwKM^Xf!;VR9hj!!UxEiGc9p}CeSN}L9d7aykZ9MisqyRTIMo6f02t^5ERdY zQc*f3C<$;&#yEvu7Tn$jW0WQq$KOi6b+ZCqOlxH;dI!`R8{ictv#UpK;ddEWat*)N zB-7ctP0n7kOKEm$%ub!zVKCWDM%#eFYSme6ngNT_WbV@o|tIVBtXid`}4NM3W^*KpQTb0V)el9ud=kUM}^aG+b9+#L>V zmzxh>5O55B!9EXo3EgIAuQAdVJCbKE|uN?r-JZbWZwKmYUnRA!~P}r*1r|p`51oZ1A@BSacKg@aH~%U9=Ko9! z`(Kco|CD;`m#MdYm3r$pDYyPL>E^#C-uSoppnr|N`s>Kczr6R!zuf)gS9d=7*RYR% zeeE~@^6@W!`MY2K%SXTdw@bhK{U;w?{^;Y&zx(LY#~)q2^t<3|zYBv#0{@Sa=LFD4 zs)Bb~xbO7d_%T4eXC5_@5mW|LLj!ZV>(2f_|h!AM{nO$@6D~kVR4UrWA3g zC|}?f4^k1z23QNKun1WhmD`Y1M$5v;;4LN?xi1?p$!uU{;W#;DKD0$xK$9UDy+tfF zf~m@g)jE-JKy0>4%!AVYVVQYEZXQz@#ucg|S(jZd8R(M_ zXuAh=UFI&4iqDd_w+jeVP9=#6Z)Cto+^i-cgd$FAk_hKfALxyS+2JxjnPC2{5&?KC!e4 z5LjIC0kSc-I5NB7ot+<^o*SB)83YAm#x*hH@XtE@fL%=4#wV;}{(+J4e(&hO$XNeH z;qePb!I_K60q+=i0M_fXf`BdKZ5IvKTpr&bSWfdp@vHYu$~N;Q~!zz`9-ie3)&5ipX|HuEZHbdPl`9su#F>2lf zHE*URZ;+6su1n)pBC_`vtUufoa&+lL`?w^c|uH@5;x9D8-M?=f3x%fi45A& z;`R)LT^)W$joVe@b~J=tEpbmrJ}@*NnOaW<+Rq&A=kE509@>N9wljCjxx4kDr|q$~ z{pkfyytMf6zscL2Qj(8c++zp-#3nqmi5^%bk8RRVZSt26`4>+4+d=7DnFa z+p*W}ddbQ&Yn-SMePvnWtJYR@duCtEL)_ zD=pT&&cO#%_fx{q%LdOESkF7c$k(LNubcgEX;ZHlb1yk7UkkSWEZqAq_Qsz(mcFAe zeXTzHdi=AmcfR@hOciFGtayPD$MtqHD{L|b$603~IB zm}bXiIU91E4e1Vaf&+7Z5F0a$iyy@&_Y_ByQ*XjSHdv;y$+~ic=K<8b!rjkjlGkR5%-T_X8DoSY>zE<#)NLdxGjnQB9PvDnfvY z;8ldP%YN1$r1%yM8P*J*3JGb1hBW4eHeM9SLT887W!^yN+-l4ZZz_tcD~N_?#3d#q zBqXIJr(~z4=NIH7sw1T;(v`A{^@{R~;+d$_tJP_MQCz=}ifeUgSL+~`>mirw zQvrFngoRwjK|r+tyaJa2#LM6S6pTv%n6ytYkPl$ffEn;zd_ zZ9MEA4t5WldlLfb;ut~vHu|Y)(v~`N7FqcV{K7eL*^Hoc zl3yI)7Wp|vK6cS?2ORj3DNDSWd^@-#FP}`J@g-hQLOIWRD!(c2YDv$)47R}b_U z>?*TMWp=7TuW;y0cB9c|Hd+VtRvX|I+5xM|Z0R!&^cwp64E;)@S#2_DOh#?LMsEhZ zLTu7YOuBBpPOa6Odu2{(>jFf!Yyv`IWEyWN366*uCzogHN{Mm6URwuc5FJU zAfi0>NKE_Z^YgSi@$v%@%D|R+o6fKLu2lQ+`AicH$3ECcu2&( z(8!1zkr82$5w{{DZb#g^9T9#f{O+AQw{P9Lc`GdJ){U^+p*QXXh2Fgqbm!x1w?Dde z_v7Hm--kwjax?DI?ZnG>ldpwCg72n>-O0*JhjQv+etyAmFY>jv_&-f$|A(>gPg>X? zlKqo;J9?F}Je{QI0H& z&8UGCwZYKxVww%vtSunQU^sRjiI?9jfVYVe9r8j(PZ3**U;;+b3+wF3W%NRsy)aH+ zrAR~U(zh#(?W+EEwXI$4q^Snmlw0iXh4giLxS+thh;5 z)-11R?XK$Rtz)V&d>uhzB6nGum5w&;5YyxlS-suPQKfraGaS%+CrzW%7T=sbu;`jx z9-3bD%x;X%Z~7Ovrj~Z*R`-@R4%WAhH+N39cTacs&i40C5B5%vc29Q>&ex9~E}lMF zJbAo$@@VPg;nLCh(&6dS!O7Cz(bDeW;`aW+*53Ta&fNO;?Aq4!>gM#y#w4H_%j<#V zH6Oqdc-D1nadmWI70eNxT^gQQa8Jzvvf&I&IettBwT}7ze*inh`$4?^0WTP>o^ku| zn0Ysn{k3YY6OKOsbTVNwC`M&1dNlNxCIb#S1(buJjD-z9=!f_E{-N0H@ zwol0@K0d)OAWVqxQ)0ZERr~kFE690!M&h9fun5u~pc881o`$@yr5xy5j`VHE#*R}n z{mk0&z}5b6hz9UzsQvL!`x8&+GcWy9FXO3~zF}(m#XtVfpDvgZb>no1d+O$&xdi79 z(L=lViB0mUP5Rs}d*P6O?ozxOl)f6|zaC`18K%D(VSeFbzYg$UPD($U>3%-1{CrvS zW?lc~s`BlE^xX{mn`zFsGk{u%-c3kfjL6RiyUv~B2X^)&EA7D6v0`IP*x92tzS|

NXP)acFEyK23H_Um1G^;4A=!FD zaUN5Lj$21g+I&yir#|nPecLhpMf>Dy*34_&?mOSJZ@1q4@$8##Uwr@d+wb4Lef#R| z%ja*OfBN?I=WoCI;?p;;7Y`m=CifMC8xq%=(6P+5FR>lVOviG&ZHZ!@$LnSq)YEm! znVP=Ys-BsOuE{c)zeF-xA{s6hxQckTLT*2TZ9ww$g=~csn-AiHmXL5{7Xp^1^6*(#@=p z%ZP}e>Xb0B%SO&kOhyRc6_~UTe8w$ec6d87npd4D$3vvJBnkHCUJ)U~rpU0#Qa~-x z3Bm?IEn<1K(VXfia8siyl2aAQt&ZZ=0A3LzsE^^l_loK$aJ{1P9=kFefP(_zR^7WG zoKqRjt-Q;tyeq7Zkks9m*58-ZMu}@8g;n=>6@T>#M)9qV!kaAxH=1A}q+Ea-B-qVH zC|HFOop}SB9Y%nG9X~Pf=t_7hydbv#fkYIR7namkRn-zO)oo-{GZEE@t3uaTW6*Ut z9GcLGqmY{buVB&G3>ve8MsK5ay!VQ#)N56cYgK92s?)Dmr2zz0L4r`J*DC>1z+(j2(rG8SI@^NkQ@9L62MyGs&Nxgze14QBqKJzL*;|d}3T4UDL z#!L`G=4C?0Wqbw@uYiCv*BU{t0}uhV00ko$pM3)ls6{T=?G&FIOvt_72)ovpd#w=` zga@<=c9&3?NU17l!_^Bq>6%`h+ZFJR%zH-XhsPF%#%2e>B=dmP?J`?5I-N+$#&^_Y z;~}B=l z`x~Pth%r;dm>E*sJm3|rDN7w`i%jS|7cna=o#vMWcz{$CPH>8+xTQWuvA8OwG9@ha z?v+Al76wD=WGf_cy+QA?S-mEcTcfk}sx3;LO>J;!jZTfxt~LN;tJYxE>#at;#jLYf z0IAUQ1K89cR^X-HGGMS6b!M&Bq|_OD3`V)hpy)UC4p>wchry(?Dfz=PazI$Kz%ATl z*`cEH zP+oQ*Ejkb*_5}GmJlGcC6)eCja&}lbyKLwlJ9i(j3pR8YxHv0wts`}@HGZ}^dZ8tH znHIg)8MEFVyV(}EK~0z0jCm|FK~)SJMt}* z98OI^6{0vkr7|7amXGNv>l`YhnM$cWB~AQNs<5<8T-qTkqAQT}?gD0SKBFg((FJ34 zLz${9wmzF{Di#G^B^}DLPE`d%Rl!u(u+><;iX>JwOVurMU0au- zv)9a0TlspY$mo_1c)Dz3N+)>4)$E+w^ILm! z0NeWjv)c!=+xs(H`_r3ylk2;I)ouUE#`x0O=)&^I{G#U~VFO@ravH!jF$LfZOai_E zD#!SQ4fwA;8nBE62D|{i0nfN)cywTBWMIfUFnke*yq4h+0PFCG%`HzpiOr>~5Np;C;M?03SUm#7v8^%&M%PU*z)d ze!Xv`91gUcSlW)vEeHCReQnEuw(UUIex&O>(lbsBtWy*FY=C}lYk%ORJ$7|G8)AGm z%z8e|e(vFX=HWi`aGT1~e|}91x8Z?D_;6VC$Sry@D0=1+KX-^fw@W^ENT0i8&)kY< zL()&({LhA1FFcGFUiQmz&SyUUQ=j-zK=x#+>-k*ot0mRz#jaPg!j}__R};)HCb{pX zgm3)fmtN_!LHVbHk{53N=R@pA9?t$4f7vHk7#Gfsh-N&ZIj3-bK(MIe&uN8IT9HpJ z_Gn}dO_y2IYf!5-Dt({IBvG0g&<7@0MQtdEx0da}Qq6oP4%$@?!bq^VQQ=s}EkUK7KWS{?fhvL_2Y! z7&+(we?Wl08b9owIO?7{luzzSCU*F~O}b~b#kokbE)dL%SmSbocBxjmP}MVEshFvh zO;k$8%Y>d{z7xr@Ah>3P(1eg0%UN=CV@q=xid$Zwtjlx|lHBBkK}v#)n&@m!ay6wm zi4Z3N;=n;1Xov%oY=qs$Wra3C zuHiCn5VP(yK_fehVg)rxT?B|6pDe{C{FJvjqKuGZQx(`0IbauTGG1h`Mwp_t5x?cVcVU zzvlKWxyI(4BNGnq_<+-9>{n^DLNOE9R+EiM3q_|~CqROmGD0b7pj42PgD~;etL|Sb z4!?%VPR7($k~=y?47`O|GQ&=v=}etzNt!0b0Y))HjGrYX%u^B;TN0OONelF>c}_kc z6;s?|Key1wMoe)^=J=JeaA?3C*2hNe~?U!>COTu%GAZNNKV9yA)9 zMk9y;Pz!@qrL(AX{c7!iR%(v{2O{PAprO)YB4vzuXwwQX|N~TZVI43AuXJ&6PGd5V6>zwQje%^+ta6?+QDJtFK z6>qVSI~?Rbukb)nxXUlx;3AjVh;=S4f+Gf4l8?? zm9xi!?z3}&xXa4gVP>qir!2L^%{AR$Y>ruJjazR|*lJJQYfs*7O`U9nSZg8T!jy{m z=-XHC{IB2K{_XADYZF{DQ$@%&0#bk>9A&Uw6g4>r4L5ko)hp@*ivs zUs;K-2indw*fm+PkCQgZ$zJBew}gOK6!{r>gS0GR9jq2!m=Ir<32#GSm6fdVYPzka zLsd%?)pkg0I^{KVMJb~TLGQ|C04QKgc^*@d&DN%IENMJf0ndu!8_@!F4Nq0cQrw0oJU^ASqLE-HB*fT%9<+PMlaTNkL0fu+lV~ zG#xKV$BNU?{M0&5T0JWpO^4w+3J9GDBD0XpDsASWXp%an0>kYg2-Qt8V_WwCLuD7} z-LigfpKV+}IAQV5x&te|nXT!?-G!CI)s54Yorg;YPZv+0FP*+vK6}1;{(SB1`TF^1 zTW6ncojlz9+Wy(v{wd%XAo~EPs|TlRN9Uk^oIF}TeYAS~VCCq+(!trn z-tpWHpc#8p8`~3W8~%$_jj=`0F}!mNfMyKO%)L(ybxi_-0VZQu$0jVJpjY&JeP+*? zd3eM)MkIgm ziC;}h9?eVlm!iJJ)f%D$kPqizrO`C5`n{P~;FAVFSDd(Rk0uSW=2f#qT{@l3pnQrTmYU8wf zWnVbE%?zx!jjU1!*U9z`f_Ve0->6q@)b_2`^(@vZ=BuO=WkPQu*M;C(;k^EQp{ar) zBQ{dmmE~Qid;>buO-dPVN*-)ZbWoF=l;lBj>JTB#je|I`$#zVV9UE`QN81SzHe9q7 zlVE8`<>dc=biIXhT-lo7x%0ZG-}KDR>wd4Q?6PGh*^~bhRBk1rUMp{h!;q^G5~;qxFb#6{`BHNCZH23lJ*p72SBQ<^XUb^AXU+oqJpPr zd!Oo283t6Q0hs{+*oCq)SV zhw*Rmbx#?X8ljLVmU6{1nOLTmNaPX`TgE3!`BX8VCE^LVY&MfgrBHD+3g8t~HkHAm zF`IshAQedna8frosV7n8@>*~4 z)$W3?yK?{7ne#V5gy(&Y$p5Ch;7V`NRn*0b1TJ9_m;R8@2^{1a4x9iF0J%;`kaS7n zo`hXo$3m`Sph*~55*82-SP}ttlTdPpSaOe0{)AASgRg^7;LThrSt?WOtUhOWEIhs* zo!W|wuZBh!!oxF>!HK?skx(S$_FAkqnL>bJBFa$E2WZe80`xw$^dS{`p8~o|F1Urx zzS)tQRR8eXHb`C%q65zt$b@*muxVBZn&TGE)AJU|ISa&`1wzg|KIg(KvQ`;cOPu04 zemNi&Q^MLwVapvw_(+XG&}F6;q6fFtO0hrPat(-$_o{aS}x z=Wts*K9@h>ipCs6qt?ke=h#@F&lmS<$4vBjMaMc1y2UBn=7Y9{;2lZXj=XkP*|H~Z z-WS&$2&(o4RePf9JxR^BxOziWwI;0G5LazWt9KPOyRynXY5AU{WLE^+6+(9S;2j=# zn+w`zC)iHhmhoTOY?f9g(w9CuPvvT%P1ybP=JybVU;CRV>Q=V z&2yKtTu{2Bouw5Dxj{L0QP=&<+WGhHwtsTf{9*-vHe~*6&i^N8*?;#p{YwD;cYf?A zAN9EnwW)5J6vAeOWhWM!hDw$W#?%xu)FmucC0kX?QI~Tp5U#g~8!6@cYXt5lp`)H}tL9oN*rpP; z3BocKF%3CXT{=EToUXRdayhj zj$_7fEJ%)}n`7j=i~K-1bq=f4{yhBT&(be$eMs#*3wzxmAd^o&%G`4X%wRJYP^K5DV#md2pwFAH?UTz#d z-#B=-ad5uAf4;VVmf+xg?eKi<=-Jxw^YxRLm#iJX0IsYYo-OU4Ebbo7?;Ol-@6BxO zOmA)jf-$+ic~O>p17Li09gvNS1&x)#MEUWh_{?J8)Iwx(E<7<49G~=$jr&Fu^~OEJ zBc7pQ_u$Yao&>|*p<&-};)I6y-+9GF>g)K*?w5R!pZ=xXzq)Jd8&b&?{9c5ttH#s? z>B+zK@2x=GoH5BLnWlhd33>DA%z>UPH#}S0k!#141nBhx!mcR0B}lFJ5UTv-ngF%V zjII33zxdt1OIE!ysY1_au=9GtqLH+qBhG6Gb1M9znz*DPt!OE0dg_LOzGaL4=e|*@)u15!vfu$tB;9NL~#~UJOZ|4M<)N$$l79ew@_2pH#k{5Wg7X zJ|E-080Wtn7rY)7zaNzS7*qb-uli+3^~;F*)1>mvob1K2_{E~|g4QSaewa~1R=`7*#!Y<);@oA z^h7jrBAa}sTYhcZ{pdXSWZ8bBUw^JzK9$TJ^QI2iV+YLPLt6h4C3-{%9$-CtXy-QC zzJa!__L>&DbdznWp(c4>jU-SmbhR>+R18tm(d6u^2q9rZ_~JoQK_59UM9Gd2b7Q!I zL3D9HsxXGkjQ~=CN)Mw`L)a&NAu9dat)Q z2@APLEO|^TPv~QSN7&Bx^rdlENNG!v=b1C z1b|VxmliMBDS!fJ!%^GcGao zrfcA-zj}qJ`JtfU0jKsJv+^#Z{2smhKCS!#Ff)=%0JV641>ZpyUqcjrg{euVp~?jU zj8wr@YE?S3U8U8^#9Sd8CuEa_T(*cO=5e?z7KKK~&}ld(jRd^xv*}D0lg(oDzMQWp zPP)*E1aR<81mqS1db=BP8v(fu2Ls#$u3vgZLMp&Xy`bwz&^2W7w>^bd5P4q#Qqh(B zC%`M+b2o zi6v4o$tP}}5rO7;#Y@bB6>8oxIe(FuKabB_B;_nqGglcIi|oQ#UfHy;?!qf-r$luN zl9n}D*NV8y+6zWQ@06r{RRzwhuW#%^Qn>=1!`2s%OhtV|A$v4n2?T6Gz%IPbu-g#^ zbi!s2*c~BhTzry7OqTL?~hx@_~I}o#Hu7&sxGO3U&m=yJGOZv}|8qcc5rHl(ig*>y88!`}~R>Va0~1 za$Q)lE~;1)m2ZeEwj>qXQXrOYi(r6_YzsgME#Vb!af&usMH`I5by~p&HGhLrut_c0 zrWfuoi?$dA8??N2YVI06Z}NYW}&O>WVyADrq1XV-frgJZx=u6Qlua>sXf}XUR@^Akc&1I zVlBlua{{apgf)P11_<6zMzPd!+-;Ijn>bj*vcpKa60)wEWo;CB>O|f$p1X+cY~&g^ zVyREbn$_VCE!`iTtv@-dKii<6EIB_}i~hk;{x9yvfAnI%QT4pA zYDHMPC92yH)vZeEm!dWg*t%A> zu90o1<5{W%wsN7POyDdLIAA)j-xZQVexu zeKkQ_j#ri8Riy-V2~k}_)|OCoFq*!cX{_RyYX!Cjfvr(!YZBQyrOsZZ7pDo54H1U9 zk7Mf>xd!Fl5p7`16rFPP&v}QJBa`ccb35ZJhtuoF3!7)FyU$m5pRMhlukW1$adr1> zdG~aA?{s+|@Q1VI{qyC6X8@~*&sPthtsOpFJvd+42W~iC+C5s>Jy_V?2bljg?j0;7 zPJ|}L7uK;mwXuD%Z?ZYMyfL)6-oLQYH@_H}n-9;<2B&8NQ&YZ)N$=RWXLQUnGJ0tm z-iv{6WK8sDuSolE{~8z>_m7M%?tJN!{^LKFc;{Cv!LU*+;B~dgJIbtG#o_MktlNM5 zbsoR*)qfeHl}yrM(`3*zt{{pkwDc5xy>T|#Pfx~{}>Vc6yyHT$9@)J?nmg`VfIFdw-yv`26#Ju&c2Ve;o&Sf_%k-)xJ@=} zQN=CVkV);FVcMV>HVE(=*8lEwiH=w7?q4y+UxU zkV6~v{vF=Lv3%*3arcvD|0nInTiN1E(abac^fT_{GtT&P&iD(?=nMAHb4L7>8abqd z_Q-*4vVW7{S;0Eyke10#?O?q$Sk7^_k!2hV-T`lnbXWAFOGgRNAyRQ4DK9|I2otj7 z*!*E6Xb@Q#N99BlQt>o|NeN;fyL(e?olgx-8B|bmee$i0KVB(&bPEA_!fwx|HKgLp z?;}AsaM1hY(kG0HOhHqw3Q=Ih7wfV48g$m%(?9;dyutu@MQ^^kCl8PcIU+~a1$af4 zv@`P(;G+Tno()9##aIak$OfVckw6L0RCHy?6Pj`970GINvbH-uMM1KucrKI0=SaA0z$?gf29m+Ru;>I1jlyOyF1+GP9q%tL z0l5VX0G;T8-syqe?oBj1yHE?rtzW$&Ar;{3DDZVO0H78{SG)58o%rg4gjXQ)6A2&* zwJ5rRzOV}*q7vgPsG@JsMc-hGzrhv*!f=fMzD|TBkzh9{CAY}1n?R(LB#~j?5Mh5y zfcy=v=uf!(ukZy)WN$Uxt4EEw{8tah7RBPQ}Ob)>osYRyw-Lk7Pon^%{?t4QHM9uo8J!c&rJ?_6mC z=OcO%SeZg1qk5$+(_+xP0JOp`24>Y&YT+`eXaQfaM9N*EW~?&P7TNhT+>%K_Z31EK zw77mr+P10aUYB+|QBZv8-HHsrE7Gc~t6RG8EDrGhrLR9S)8`oqTf!lOH)QsQY$3lR z>~(|zi*Nuq!wz>Ofh+8EMSv?-Tfk`X>Mb6f-KTK|RPKP>?H9X!YG245iVepGheoHu zi>t1kefQQ*aA7V!HZU60%^I*PJm@ATZ&y&bF999N$`Xko@{SW(>#4Z*R8V%nFWVH9 zE%VEk1f{E@@^x|9hPZ4~T)H7HSrB-`%bF zLq7Uiz2phjT_+0CZ2gA5G1t&kWNOYgIz==3%E*c*?fjH(RVvDohV^6;yxAmQ9@$?^ z4MOSR5=N+$9xS1HOR4U1y1SC$Y2XFm%6`0M0%scSkO698sb-oQ1&(&PuTkbJ6?$`d zt{Q=bA=SFovI#wN+l+c;Z+YjadhdXJbQJt(1N~yJ_(yxg-#I&ea-lxCi7zdf9d*~7 zxM@*XzbdHP6x3{s>vt5*d)l@Dy^`LN4=Z?*S5}?YOnKOAeu8qOW4zh8KsNCAq&Tx^ z)=aWKouo|1OCcmlBSng!$(kwJDxw*JcNCFbxpZ$f)1O0g<&tf=BvU@oP)O1j5p@Lw zT|Q2i2Y}V(VD))81BhrTq1Y;@)=Ipl8YOKd$mvq2!8zayj(I(Ck3DEJx|B*2N1!Be zWW8)z8%x&2Q8kH8jY>zo)?2R&)EYvy+EA_9Un}?2Nt_Krdo$nM#xr$rjc~Re!7+ES zot+$C3)53aag-CyFuVbT(-mMfd00&rR-KMjW#ZIXL`^nXn@!SW5|tTvc`i{|L{>qm z+A@Z|ie;?hn%f0dq}WcDIapes$Q)KW2Q8rq@4!Oe+4AAZ;{Nf)@r=W%t^KjhouQ4*{ zBI*dskuf!HNR6FPW9BsIWev)Oul}u`#??P=+X=7xId6u!?Ht%Cw1?~b#KR1uSXQG2PLoLg4bcrn=tP~SoC95 z{=Q%FYDjuECfy$sZjW--MrjAb?C%GJzr^J~#Z>S6G_U(~Zvg`tWc@rw_<5B0;}GS? z0mi#1|8+q6(ye+OP`r&uKMsgq5AdG#vyKL6$Aj#XA;H zzYnrs1o-D3(UDucoqQ{pek+=OCz^aC z7<sO&y;YB(VkPXgG-j_${XwkL|(RDAw}>iaj-{s!<0V4_Ur zBl4KdX~fEhD9}wj>;a`Ll~tK7YR*%47nm-*Li_*g6?rN^D&RTtu54*%*00FAvVkkg zu51-N=L?8jO?RHQJ3kS70CLp`;D*e^+C^tt!Yeu-so@W`-H-LXsV4MO3pT@w&jQrK z*qiqIKYN9=HCf#BNKpTfQ}d8h`G8gakWv1SUiOGymJC3I-a!_A-I4Rxh|=rW&KxSO zQ79)FY${)0*zB~3L~IfcPQhcCR3?`t<*)#+ATe0oOcs*O#B%8*4wDX8#jjp*DHRvX z6t}veiQcKbC3kyD?f`Tr`ltfFaia?actxVMM>qI-5BOSQ9|ZJmPw`bm(G^7D*NN28 z{I7fSzv=~I!8g4HfJG#v0t32+F22kSxsm|%4Zy|1#Wg%Qi2zO_fp3r@Nfc-j6?UBp zyGDjxA;G>TK)%L-u40O=<3RVwWf_cGFt4LgM!;$LBD2hvq?GgA(%xZ7#S|a5$Sz)|=Pgn5W=Q!Hg!~y&&H^Q4g_gF&$Y0>V zW_i`qg6b(z&7`DuUe>azfGL6hBYu>1ASfX)@vc!FwgNaYWk zLa|`q=;+|g_{38G;#z2PE3~oRx3n-YGdUJ>&RS`!;;Ky^Xj=f<6&3GGN)BW-M~aps zdE=3!`beCpZm}sSU*=V=2&&eBJEhf|(#lOqIiMEnLg*T=c!gcC#xB@k7i@6~*O>*Y zw7g|<&N4B3iIBC3%LMFVm7KFq&E23~K+j#F=PlCn78v>4?EG_H!3$o&BsSa7^b`+E zsVdG*&4XSqXn5L4f)Z415--CNF@y#pW22*U6N_t8vrA)Uzn>t`HxLx{6k{F3Rm1XC z(p_Z~TPfLEMsrp$yyZ+EjP3tlyQRQS)#b+yR`%L0(ULX(Ij#w zyh7?N6*%*lwi>>frZm|thEcnC(@p@q;=QfjS=H6gko#xV~GT@&)athR62JhkCmRFjV7qy^9s#~vjPI7>;Sx-X z6j>|lDOdIaq5{^T!CHKUhFq_uwOU!79xfut@0BBK|N8g;@$w7rU;k!MhMqML=1hbI zD`DA1SoaaPf~1`=c|S_ok5cy{l$|hTH$vHuQ4a^GXG6@F!-6*>^0%YPccY4TWAgW- zviC!h_XEO@1L7YCWIqq6J`E~=7*>2YDmxz)ACK_&huPqE-kNva{G3MI{;0dCaKKZMl^mRn^Lrm~0&VAO;KIvzi3~){d`R9Y; z?*~O6h6Fzk@jv!+e~58jMcChkxi3Qe=Ry9dpLOV??s|wDPVBM`HEThR8n7`9(XXPp zR2++1Xwb@adY#&ARhXOtwSy_KQzZ_jA;59RMA0$T@PcV-%Q(F!8{B4v*2%tgqJIY$ zIKT&wN#PS}^pxHQaLnjCV#bbG@gsJB!Y+969e&>i!!?Cd_`9eoB95WK_QcS&W0;C@ zTzSGPh>$2D-%H5wJo+`T@tKg3{h$p(9#FB+Eu^W=3+sfiBNoLMnpLX_7+4`rfePh7vZS+NL{-`$;k3Qj@T_r7h0LJ3HUMCsKl zlrAYLB54}tSIn@AR%sctl+00bPMnlGO3IocWh|4@mTCFREGRHL&k3uh#8qR`>SkkJz|c*7=t)EtVr`iA=k=f=l2Ca1SX z=T`?;76(@52bUHG7Z%5d!*g!_ss<)@!i_vM!Z+k? z8@04AW)@a9+;5=$*G_X1!t@xa&%@|4G1?Tg<`GJr zj8r`Cm8JAbvXH_;6c>tSgOK8)9(8`VF{ekD*{e!J$up3eY@|LHWy-^v3y9_-vKdM= zmJ{@qcwGrm4K3PhX_dHwMJzGz3*$Dn*b@!6v)%}yTgUh3y&(@Eh zCpbD^J3LGDS=&Fk$TT?y;)R5qEFYXK9-b^*a&SDqcQm(iFt@coyOHR#HnYByU~Ol5 zZF_Qc%XoD5CC~JK{;#3M)uE-et#i}mL;mmnwQ^v6-yiKa2>7CwI(0J?@QN@pD~QSV z;Bw5koYtb-fBC!ra5=Mo`!|2hggp%QKsD`UjK(T#Q#HJ$rm?NA7X$C?Zo6~$x0+ga zZr|cDsZs$OKq6p^g>0da!xwP50-jL7mk0z>9+yYLF}hnQE#>saVrG3dvp${Hm`iFY zBDa@tdTXWlHd0&l@BiwHRAfJXprQ2Ys6Bcb+(_@RFxwoQRxiILC~E7IwhziXN0jh! zb@!CEcixCzv0*kn*!=+MG{Sfh$i}7E_dEdo2&->VCee7p_ zz&+d-0Da6CQR?$B=~)nW=0~4+Q3r0!jtjTpAgS4yn=aSWZ@M@Y6I9*gTzh|tuw%=;zxlG4BaswOpwSpG=cn<;L6%B*^f z13v)XtqA3rr0P6wYo4Mv-$=~UVY4*I^dCCBmmv%5=6SRJ44o;DeuWt^kgY}vXwnK2@-aZrG%#|;i*b^iW-rs z=}y&lr|Ejq^}QMT?hGCLH?L5(J(jg3mMnzz54g1t*tHKB)emWv52zInNo5a-r4R6> z_i?3n2sKYgZFy8=sep~t7?sYxxWVZa$&^$wg+ZnWsB}4lDP+>v3=)-rqtWpUI)Rn& z3JRCS;IqEugCxx1l8Y|n2*4}K?si`Ss6{DY8aENpBslbXC-~bA5Wv+-fR9~}YY51< zNYE8*@mGYxKjQMgLgjsp%)NpxxP~dZfd$EHEjx8cBC!)s@7d)(~i6zP>Xdz z=`tHM2Z#hMZ-r5?!75y36f9A57f4x)7c3An7swfll=MYf+7j*QLV_nV)F)HqN|HiHE#8uPkJa@!ip8W7E`6f|GM4@FH&v%%H5@WyOpZ!z*>JM`()|Kq9m zXx201b@v%OL5tsG51TB0u~bi{@p_4@4vMIWp{`^ai)f}ak|mw$0`tOk@&SZ-n(W^Y z4xVu1hZyHVvudDD8fuUQniRe|k+Y0x1mV?nYy;Wk)(*ttgZA|x`;DXZv$^(@q3)xm z_Jgkay`lWQ3HHuW^VZk?Lm%pezxUXJ*ip9cNLzQsO?$$Iy@XfP?WybIj0zbX3@^(q zu5P*6!2Azwman_?k9rk_7;z>_oZKV13zy!9OCEJep1>uka9$dMk%^#Y!ui=<^6XAs zW``oZL-4edozW%9?o#Je4@38Vl5+?YKi(rysnC*hfxh+rV++5mJ3alQgemM zT&@E!Rf&zY3_}B1*G$oNQdJ11rdw#~QF;g(uSn&zDl9&w$)`8_OlGa#h?8o{*a{Fs zS;{iha2+i|Cqm}HsB9#?gJJXXJVB8sq;QAS&Y)1|BnosLL~#>VQiqXMqE(f6Lp9Y_ z!}iwj{MCGawa{NH1|-ejDD%O!F`R9T;h!VfCozV>9%Zyw7e`u#(a!N+%OpZS)1jJa zQO`DLXKHlQb^6gpV}GkT!VZtyCs)SS59T(HH+IkV_MWc;Ua@vCy}UcOak#jBva|8{E-P5(bi!GAFXX{7L*8mRASNBd6$^o!*1hBq$ym@f4d33gU z@@(_;`NsLn&GYZJ&R=eyzT7%~v3>Y_`{3F3{W4w{ zr+)nBIOeAq3gDL*`sXP6$1wI&822uKd*#NT+i{0x+_nzAszS{vkz-0iTulvY7(o>~ zpyWDa0+~QgVQRZ+=4P6^k`^vy#41_+HJrgl@p!vtq1U>J^B$5S&*=THgd?xD6R#Xo z-??H-Hl4*tMcZ-BK|<{?v0{u^Hcl+N@Cs-ISLDX#x-j`3bg>r=3G@_(JG1&)pTxT! z51^6-?$>dE4FW^h~5I89GEEl;_vPr2=hzGH%}Gy&r2 z7rIjbgx#r^QPllZ(vv3b$&mMCDSC61y}7E3ofK7frV^2ss9XVmszy9j!_zO(cBN}O zfAb1;`x8ZLvb5!qD3KWQfL;H9QTu>eeV}D_YMh_&Z8+;9Mu~KnKH|SboTO`p_3{Zu{q67+b6`3fC zl_5g<3okegJ<4I1P+J+WSKomzUAT=AGxl}@bA z#@FVPnqhQA0|(b5Vbk?0mCNb%`ukk|xZU4x_Yc~GLypj}EzocFL<~;9$>p~t#iYMzwGOn5~RvE(`nc1vFN*i@OVEKB1-9}OtQoMY?JkAT zBSZJ`>&F;H^Q7c)a%w*%Jw(eMAZJeCGZwJv%jCRO26&BIz5sZIq;gbVH7={0kTs2q zn}e)M69FVZG+!{23qEVZ};ds~|4SPZ%N5F6Qd8{6n%>&rB+Z*y+N<}d0 z3Pv5ls68PSebzwq65u0X6z<4?KRyy3nuw3ik4$b(%^uIpA571$PAyDLE=^CYtcm1#R#lJJRw4RqejIdRJApt%PoU@ruR`Vbiv>d0*MOr)=6) zH0;P~H-zQOZ15a4Z;_tA!YEv06|K+Krv? znw&C4PT8U7e9s1dlP8cac%*2j?;$!rORA?V>KI)#P?fd$64X3=aJG-napS1yP& z$p(6K6J+}W**4p&9cq;Xo5bE0xwlQ_ZI-+11kMVEtwrc2nZxqvKp^T|^6|cRbbd59 zel*m7($;;{Re#Wzy*EPM*(=}qTi?ZyuL3=%_O3l`+YX>ulDcg{)vmZ|UtV*lt{q{N zX%Qeyc}`_@V@d<{Z(9uyyLCl4O(R`dNmfGf%6yEn7^{Nd)Fn7|1yNo_mef*2HAH0% z&QOiER$%mHI3)}xgW^;WtR9Rt7ZWXoRBIu_0;U^FsQNORu9U7XVHry}<_dwiT5PG6 zTWi#|YMrf8V=Wh&OKFBOg07ONt|clOX_{7nwM*qk>wyxN)w-G~a4oXf;o_TE;qT!;H|BZgeTUusO24Gq-lIzHzj&ezdf9xUhP(xOK9$ zceZ?ZzOr|=x^uF+eSFDUA_5;zR(1e?I9uI6TLoO=@bY-)^TgTCz0>90ljWV`l9NYYrVZh|;E3!~`VASTC+&9UNgyu`d1wP1`{WJhE| zAANJ}5C7?Z`~Uj$7k}{=8AV0ibcSPi)X_g=kH)Q`h{Yc;`vazc-x&01{eGn{Aoqr} zzCLqcz~b(ch*eY!4&6|LsRCh3(=d>SJtZlfWf}0gqP807UtO$J{OON>#G-Lrj)=n+ zvX}xEg9|*^*;Epjf)h~CB1*4}(ygE%)D*a$+HIyI?M#e^gAMc1{UX$e3_YR5PHPDZ zM$(Fvy6K|t`d9}+&T)i)78O2^iC@O0uli-L2V_4C%HIvjJ`Bn}4oW`_Nj?vWKMx5% z42gai7QGr4zZw*MKOp=*F8IEW_d3jZ9c29wV!w@W-}mv}L^$7t0k2>ryrPfuBF;OH zaZdZ#$5G}{gn1Zd9E2D^1UL>e&Z3MLF~+NY=9_-{+kWc%e)5Mn;bR~6QxyFx@57k4 zLF{Wk_N51V=D;4=uzMEFwh6Otz%1x-Q#!)9mN>2K@Q)9#E?v zsf{_5=3H`XK8MtpEN7B=3<`}wr86lE7MaN+aamLW zlP+d{@d_05HWG3R3BK72x^WpV0mi^}RHA>!4GiQaI?*F637JR+Nr3u75^%8xdIM2% ztE==DqV#5O*$q@_5(Wn7#8o`_3IXyh5qymVxj};7BtdVJV0Vbn+eGLs66_YW^bVuq z9<$;eqwEe1c9U9ihgz9JsmrA_fvBw|)Q&1fPZI~%Euayle4bXNu~=PJXVB~n8XO^` z3wWvTcZ7!Q!G4P`YIFf!;Waxw7MDkFwaB#!ft<&p!U3-!lq4~sHzg&H4CU$a(o_!Q z0kP;-NA}IilpFc?lbTB_=vb~r8+T|OZneaxAoK~EM(D-UghykfltF5GA3bY`oH>cl zT)<{5lJb}7;1zD!ys&&qS~;eu9+%dRiyKA-jZt=$lUky}fC%;AnnEx*yP~&?ppYAV z{yx7q5_AU>MXnscySXp1mE#V2d=XFZSE-2D|Ev=hKkzJy0D|F)^n2sO!NKw9=yd<& z{P6V3`0Uoy+`;t1-qhmS4ZPfN#kyS~g%;rOj&`=q3-kC#yQr zHXds0_BE9|D%h61bX{Dv!mC>sHf&3p_5iO?H18=Icja}PqKXv`WS&;ANH17s6s6y#)j3s*dJT+~Gl0HMu*rpb|q(j~^%BRpU zU28GArntSKvZkfAss~LG2&^v4$Vhm6I6O5Hni~zQOuM%itvidRr4iFu$Q*Lm3`Q4E zU2c+cxl_qns zwUp2;Af}~&W6EP2a@o2(juyn#m-0-N0&A_<)*!VvDI5(-XT920qi~e*tzfFDn4kya z)li(GoUEzm+uKzkgf85xbfcselu*~pRU=r+cDky8n$Uw1k_n2}fw3wWL0L&t*R!?t zTth9_R>gJI3!I%28&+Y)$W2Iz86mQ?b1jWbOEt}0NwZZjoaIb+Im?~sp}=)l@jbO7 zZ-d0wp^lssjb z%rV0A^1%h`AXUhiw&sGkfC)hs+E-vjRj({$19s?|GePMCuXmR&wX)m!SvUYH` zc3Ck4VE=qAadP8qJ;6nC3g8tlf4F?E=KWv)Hoto~zju84=FeX7KWfId4nvW+iN_Vy zSE?JquCAhfY(Y3NzvP+$yTIi}$pyeOVVqh#NdZlhK}9?ug@Cmv&7=2_@FsH;u@L=jn0J!rc4H_ zh)$z*Hq)C+8Fjgg>NHAyE};e7UJLsDU;R}gLG{r?yT#)5hFqSA(-U#Hqjp!=>hM{t zPK()MHX2NNjY%yx$R#?lKqKU71bhvjuj8=IEUJx8aL_RhI@-ZNxtK^dtJlLp1o+)i zac^9P8dc+_jg(~@W7ESq2=dPW#~6^j8J4~qlYSVNej1m29vA&MDfv7p|8Y|Jc}($X zMD}S={2?xUALYFda^8oyA0qsZQNh~?@B1+4d64-$!hR9syy)ki$JnPa=24V-5TWje z$$LT4VUTpJAT5q_9*TPtULize3cE4{ z9f^GqL2DWh@QT({UTX@k{Yj#%cV~(KehFX{j|H8Nc^%2zwnyC7N4&Pj{I(~;M2oRB zS!ad6kWFpOCN*T?8#0;LCaGLt3Pv>!zfi8D(Rjalg@Q#9vgj-}gT;G2mEO8PT5 zF2R6qbi?knm)~!$de~8Yuczh?y5=Uf{2H$0YXame666X6e4PfqMTg#Dz#cG59@1d< zC?&V4rMHVf8ezv7I~;QbZ?7cpSMzs#fdt zM!U}J(U{yyQ=%re(F45E4>>{uR)5sw4j7#tz0IMsSXBnSOd}I2_-s0Y+EI*$CDFk* zM6mnX(iAD|F&lKBPsDpT&HVc}0Iy)+I2L`(sdsv{@_>rkCu|*}gC=l~Mu|^` zsA&U?%u!0_6h3nvles|5U!;QIRe)F2j0x*TxOH((b&yqQrj*f|p>;*Y zpiCH|9V3?L9En<3VZS>Va0Ps>fY%xDxB?ze*c*s?LVbxHkWkbfjMxH^OQX2N9*TM6 zL&1@W*u>n>%+l!m>g2-4)WY`E{2mY|m)0f#saRi`-rSzsI+|Zvoga-agba&T=8C*) zol~;SD>;zYp6FYT^^FI*nq5ulmZEe`T(QinUK0XyXycv&@QRi_Mbn<5VN+DO!i6o+ z3m55yiE`!iqGf8~g;(SPERyn;$ob2Zyk%ZdOU~UU7eAxG zzNeH=p-K!LV0;6(y`ieIz7^JnLNf(wvo#Wn#AD&XcyP4eH!*CV9y830X~z4tgJHeT zZIbHj7?HP~?d=vgaS|&@X(s9HWQ!YR^fV}3Ab}%?Vap+!voWUpUOlu&UDcy(Kq*>@ zsxF2GA<*|I%)JI@uQ||b9O%|hq6||+%Q*1HsJFYvZIW{v=B=gkgR$jDecfkW#YY|V zy{_nkwe*v}@pFIo+X&)?r|rnvxT~$&kd&-&3bq8`V@df7W$gl^)ZJaktI9ytR@XIR z3tHt(I31a5Q|mlprHdzZ&_y=3*ddU*C325S=QUXT7DrHL3@KC*u_Pi;gt+P;L+8gS z++89^BiCBRvp{*~e1S1tpnojTCX2MWB15UjQYW!DNgb_nSG&U1s_--`y>(J|Dc4>= zv1H>7IXF!&Mo~=ERPY=vsz|#o+Mw`MiOr=P4TK^u#7K%!@)E3}ir}iiJ0K`+K0=h= zBLrb3r4$8(qRA(i(y`WDg1MBgZ{n-l#d^5h)}!)v%Dl}2cMaQF!E%-{oiIj%5~j11 z<*eYkss-*kk+)45?$Hn6ZNTf^1kpM{u#8iE%j~{A{@6?Iz#%KV#`Mjy{7bCBIxDbE z3v81DoA}@cBeKH(ze#(~;6}6a-cx1El3eAry|O0HbYe$#Gv}Oh&H*5D&N=6ta|Q^K zU=ARWNP+}2+1>2!kw(&JG?Jy!^}TmpwN<W!;Kfz7m+?qbJ;aQ3MOW=2i0aYUli7=lFaF@PYIRK-Mk*#{i__ z@OkZtNa!>}EFiGST#L?C>;xcy?3& zd7j8z#1G$-$XsSQy0pIe>b+O|AOGj}(JAm6uD-H;?-lI}$+XkuQBp|Et|m!ujdh}W z9$Di@R9c~BDsZt0TIxYn%;BmdxY}i0-5R#e3aVrG*MOU;7xs$T4Zd)Q7fIpam3&z<6)7*l2e!(1BvMjIJSGNLNiN)B#%GR#a=2Wm4EXWvp zs)I99!x=1Nj@M6gR^HZBG}Tupw$^r{+gsbIjqUXM&cW(VW_c&GxVb;SmY}kPkDfdu zP?f8#nD6H{%-*>l+{YH(us1v(=d7*FShgkaQlvpZL&6UgV(%e&B+hI^b7! zqT*s|fEF$W|h*}@A%7H9* zAS+#n8V{l&0IdzpR4hyvho|y`pj>d7PZ7LfW&aD7F{?tEzHa~!yv!=p-6`ufifrF6BPoY(x0l;nn?gCVNatrY2bj_Wy`uih|55}ABPBniHZvF() z^bxe-19<%};I+5AN;* zB=8^wK1D@=X&4xTfMwGtJT^xtl*klXmENW_IAl7zSZkN)o!MR+j)2DQQ(2tA`CFzp z%5-|URx4J@`7!}V%%l>gaicZx`p@yTpR*crq)pFw4Ufq+If(aOai=`z3&1N#NUBa1 zFssaVg~TJL1~?O8V#6Z*Nd%RPUTmb$Lx;)%f5vjV@B_Tt=hYZt=Km9)~sC3dCx4TkRg} z%?gOg>D4gDOeR)R`|Eqh8#}4><;AstW5X=imOvBK)_q!2hTC~2890&lW+d%tapSH4@QUU* zvo*=;*yr{h3I@OTioShLM}pQEC00f8RonQ=9bDBmrXq?ik0Q&qQRO@6@))KfhOLO> z%H#O5IN`lrY~zYHF-4oGqBN%BHLmVUT=P1#K{Hm1>Z=*->ZoZOF6w~xK$sY|R-kc< zbZ)7^BR9HaMw85-k{V=Uy;7u8vsF5*#4yD(4YJHbY~vtDKgcx<^38)HTd%<0%Cgo{ zER}duB}!ib)l|=@8=hFYhZ6RW4~7S|6bMpdu8)Ciu$h=RbT6ye`g=~CII@%J#}pvJ<|+kWZnDxwj`tB zfZ24$ZN28V?+_Z?Q|0{5JYs*x%qU`DT8ty<6jEov7IvBfW}REBau_vko6hSp1iTi% z-|h=KyJ(7FkIg1B|I2qsn`zl6H=wQKD{C>UxyMaitle zv_jQ(sKyCVyQUPbQHiUM?`UIKYl+4(jIIc+&O<2*vFduNrHAY5 zb(--iQfK*4P4VV4+9r{kmZAFma|GKT(cmEN`u1Y)0r$58Q;Z3`pM&S#H?2= zVVW0_4GZwvSwyuDS?NTTyHJ&GWQ_+|AAr|{p_LJEX&6-Cn||(`dMxaI2(P-|`Rs0I z?!E5k_j~j2!|NV%`<|I+@}$GL)V9a4ss}T*k3bDirj5P}Q z#$)iF7iF zL8G(TTpnL6lByLNv)1C#SiDLTaFTLK4NkeqskFEhCWlmS5oz=yjaH)7%Cs7ZN-mHK zxe_*w2*Qum!t3wcc*O&0^HXlaBT`KcyyD(S(cQM(yX6n>3^uosQB=L!Z`D|wYK2eD z4)VZZa?1kzSp@Zb3HyARn74w?UxgK}fr>X#Rold-II|4?xe7D$~7 z^qvU2H^A)SOf(GDmedxOjP#8Wh+MJ4rqwxZ7O&gkciMe+ny%m7i-s;Zo>h|vPc4{G(2*=`ciNs=Z ze>Is|+u2)L-CCMoSaoQ(l)ZKt&v1o*IsKNAC_qKNwHHu z&oj-ojMFv4G{qQ8J;BpY2#n)GfvMAz=5D=kJXuBwV!j^ zUUOO!_}aj9iJ}L1&vw#4Xe>&u;Mr!);r;ooSZHO#H^1Zzu6x2!eHa2?trDj#M=L6kvMQLk z7NKawncK+T2C}CZZ+V2)Ji(|-@Y)8FzJ+XRCfl1S?k0-8o}#TLOKK?6I;yIku4`f# zn;6y>hNGEoZ=~Al$yQ)&rrBEQwl21_pXVJB2S!9$Muh>GW|{0r2xd>Y3m2^AmyGpm z{_3TC=|nr97Wj98hv23d&XcChU$9nR)4WlN)8tJi zmpl8fcG9n72LP{P*@%p@*um+|CXw@GRw}Z4Ns=d*@tYXWESa;NZ0FVs>)XG2#SZX$ zk1t;T#`%L+%x%Z)RFIL%Ad+o*l3dtM%tzz1TRVZxE$_yL zdt=kNw&`4t1~wCsoxR9<+-x*+NjThS4{5N8+E+eO_3$Tu_v63$o4;x9s1&Igj*xkF zJ?vQy+va9XvteU+-ZU36-(a0vcu`aYc!fP2_AEx6^9$KX^WdD(7uLCF4bHID8Fo45 z-1e}`5^$P5HiONqH5gPXtxTd4bLD)xoI{o|@iIDEPD3c@FeMG5rh~QgX#;)2NFO&b zM$OD&KYw&ZK9ST-9hf1fHsnhe?wybPn;`SsFz;U@lD{k~|LdCW&r7Or7i7N;3BC&P zzYKET_?fT$^p{@BrI&Q&CB5>JUVDkJUBp*5!Yd2@wVinFBENA{UVA7n-Q-I*>C8zu zcHj@~*o*^vcEJ|m|+<+ zB&`SSX(m(3iKKiiAsvlLhj-+IQAPizVqi@^yeu1^7f%IvU^ffq;bB8^dc-J*XgOgC zDZqk-s1pl-SKvFA&`l9!-8`&%7GCK?R=CmSZgeGJlE8m@09i8!uUv$d&w`8GQ_n5q zkGLH~3$~{h{Iq=*GwV{%2DFA*aFGOA zVWHI;2vu5S`EM@&<$ZpI`MC&LDS(v&b|IK46HS+irb>lVCBn&K{zMUfvXD1fz{~Fb z$orlbStg%zC!TZ0b2;yOg5>f>UkFC?gxUOxZ1yI9GW$KeiRb+B=e+S;{#Y)5G*>X1 z%OCk`jyJ3SAv0?f_o$tB$Q^fx?RN=n_i$|waBVr*Y<ClA^69Mbl9vgrYO zvWdeX=v+>P#mbc^$yDI1N@WuW0vw8i$1q4ZGL=A~5ot6MolauX$!r>hLw%p)4ZW3$ zNgS-k4?qncP1b%iR{h}^pcYMc;GGXqJx`E5kKjEy(5@U%N6utx&P3bOncfoQa04DR zK*7S;Oa_-HU~%~j7MH;hvIR1pSS?l>RYsS=IjeVu)Hc7|?2#FrQiEM;w2E~mfm+8^ zsQ3z{NUf4-)e^N_s1Wj`96Aw{n zK|_MykmNQb*bOO8%O1BY%^Nrr0A4Y8EE+uEb|o1t+oakpeDx-_auZ##fhylXmTw}< zw@?+^Xh15e0OHuHtXkkJ6NJhnp<)M9yoJo$gykNhi{B8ce@$+RBI^xP)!2dR&X&$6 zm81VsjC|0{EE-nTLF{!1cO%+ghxV63?awE5kH=McFkLa;R7JD2@{D~lU7tc%&o|^T z%{gRS4&Lzq<$8j27a?7BNM{Su-h!~Sz)h`aO9$E6#q#&?d_6)}kI*_Svw?MXtksEk z`f=U}Ca?vuFOSN--E;$jA=V11+j97sdhDI1`&(_pAGLLV)YSb^UH7fN;ci)VXTxL^hHU4jpiZj@dou?Dp5p#uT<{9#mxP&(%zJDiK&IMIBQ44ub2yi)DVf zm3XzbakjYlYIW`H`qo#QvA3%mua*`s7Q&a2$W>(ZYH{;oar1m({WQFK=$hL#dbi{j zKU<;2b9fj!Pb}xS?7T=&ybx4}{kqwJVlFJ1Utot8@wPdLDl{ha_j7z5OivxnT|jZ( zrP%L~orNTC12Ncw^Vg#7#c*8_OjQn7R>S4>Xl)b8-pUBpGDFYl?$62AyJSlN*;-Gr zwbPwlOkW=-)X4&#%1}g<77!$b1Vtf1Sx(kf)2xk5cO%o)KzGzr?Ts`?GsDrwboB5% zL&D&Md~Q@68sz!vko5h#PG_JXgjgv1AfA{aZuYViMoJJFg?Y;e-!^7C|NmeS( z&J$;sx5Q81d&Sn_*=G7|egAZQ58!Nl?_zTw@QPPE2iLKKH}S)_iOjp?(VOJqtL*-f z!?WbgOhvY`;xt>snLNFW9iQK{IXj60zcF*Vb9DY6yyE|g9i1mmF5mq2d$0KKt#eyj zcC%iIhqKx$rCp`g(egP+RRCJ;fK(eH)pmHD58XJ2ZwaCsJ+L|_xQ5+ZG+FnoCjb5< zsEetiniKBe;qv#w+3r z+q?6t+j^~@jzuB{+OfTL0~L>d^5eh#$>05LcVE>EWt^d=X+wJZs!uoPl6mYxhgImZ zi``DC+o|w+Gy(5F{Nq3V^Ur_oS&8`9mwoH2-t{%_+PZ6H-MPH(S=pK0*js?MolyS3deXH|@2Z^3qCr<)FLV;U~TdklzN$ZvyzYKFk|8^0giE(lm8pm^?B-_YIhofsiy|lU7X9 zhKiZs+d6PmH62xqZ%K!vvcZ_TKcVm2GxQ%A2agQHN1EXS>EIrB@PI#jBAvX@%p55p z+akz38!|_mjF1MF@$F0K#sx%87+Mj6m-~_BUJO8m7hUZ|*9K5EbI7VCL}h5E*fIG+ zKk|s#@?fg?PUC~m+MnL(FStKmo`Y|BA{=;T20fP!KBcuh0=xoR`*5c538*cXGFmLh zR5@6U7D}A~Q}x@IzqtLAi`ep|*jh2NN`$Bo!zv}fRK-VAbDoGkh9b_A4Ts`Nu}=|?kVA3@7Lf|P#< z&Nepv095@kxb{;}T{fR{y5YEa!@q0+~*%G|9DgjoE8(hV(bPN@WJ8L~oPmtrDF@q%{as zTEHuKN|jKh7Hc$OwL+*6@uge_34$MMfY;r_*WO_@-j}vK;x;@aRzHB2-5V*q-=6!R z>QT;cYbO;;GwOYIgTt-Y`}MM*7!#uPhEXLEOg`Who4Cj8h};!$!SZD3CbBL@Y2W4b z@9?_U`5nvr)h23Hc`26!O zPsrx2$J(oqrV^;O7&t9rH8m7n6I`wvBZ`+$aVI*-|{XRO8qsdf=n;RF{O;oWKsLP8MuWagx2{>#net5rZMBANN% zS!C{NdFgs}^=c_{wlI4f_8)}csyGvkiW>_0()&{DzhGH$H*k4c_d1Plf(cOsm zHep>gD03NHQ;ty9W7Hi4Z6D1##1D-r*1DxDW$eH`qU9mpTt>EcFg$%6U!Ne*FA22^ zJT**n0ZExhR1^@^MI>!0#aKnN)iGW5Om_pr)kt?WGhA&AO!>jGXmphr)@yvBR^Crt7!0VgL@Qa(hAs4rk71^YV)2rCYMKp7^ad5nT za0HB-hsV*QQ_I_5{dK+~a|U?D+pk^k>nr|SOK@?~rd6nLGrX=UMNg@14DgD|0JO>p ztujHXoyhtiu4R$j8OFEyP|Z$ABWIv|vLUY~KWA#DkE3ThQlYub#@5At`uZw$aURPY zNB0i5_cJ^DM?2}G&An__wZ+u#d?FQ&r)FcjONn$gVPiXKGnsir9Co;?r{V=5760o$ z{B*Ln5{)0j3veQ<%(mq9Z!g(b=k;?zRnV^v1~kEdHW<{00#hhtwyN{Rb5CT>w-oU% zEqa!gTuV#N#brli#ksiVS>6h)#)DaQf-BL$@`i75#XTQ!hGuO(;G)K%H=8v&tx})ime!2#OUL*4 zV+X>?6UEGh9+^=iq9W)V6Ff^9nS9T`{PA-8t#AE{`8BXqWhrgN2K;AlA&BHI8Q#5%V>Lys>*@a zKY}(tfpp|j#|!1?N*klzM6A)FD}QtK-YXWYFC>^6F{)aGs1m^{#gJ^@F$uU#GIL9* zc&0=&Q!E4*2|$GcPyt{UB2fMf1!6Ejp#)SUnJ$t{6^SPc#S?|1i2}h?K7aZJZ~Fbr zMt0WXX5s=sF#gy6Ae^B`tbrUx?|o|4F7A?U<}2{6_i?Q`*w%-bw#OL2E4rS-+aH0N z?v2%ch8(Nma!^LES?jQfRcdCoynw~Rlh`OE1B0aCPy`~HOvcfvL>4_O6YK7m$!0jaq&Q*#$wdk<3k1vI;>^fOe`7uc4&xVC%fwui{JC-ANp@S!Ti zbQ>Bqf~O)VA{s*}wXoLb9c7OPJKCqGa9E;3D79Jb zvw_)VmoIE}`VCgM9>C_-0bXJEXdG^x(`OFMI_7{6hqd5(6p)I=*zRiTU~~U?bN^&5 zb+{bA@rwA~dSZ7qvA3AmpG)q~B@UL7hpWlV`tHfv{>57Q<<>@Y$D>Os5c`7R46o;u z({jvfITUv6NxSwW9s9!8G{5nH*LJ|~JP`C{gC)fSr_#YgVb3nBWrtd~MXXxGlr15O zmf=OK@ZvRi$p)fq3st_2so2Jp?_jbGQ{ve21g<&r|69b3*YeQt1Y& z!~!m+jg$^{G!|9&d|okC*iUJ}DhIfZ9=fHCY;3~o8gbeNoTh=GZlS8%*~)Ids)w)Z z=b5@W<_4Ovgs3aPYfDJRO5m(YwbqhNbp(Aq0MT4ev^9{OjWlmF!`I68cXGWw0?(k- zH?ExpSr#Tu^Zlwoo5B#N>w?4@8=+T?n-OBDPN8zs z?!8>uI9XgcnDg(3?CG%kXfALH7{y%RFznqAxsrbSw#T~VG{+tGeW&}_<-hXIz75X5 z@y|tdHXB>cBl1XGIZUOWw%AY(C&}Zccs($OW5i@>SDR`D`XZ_}53epJXetQWYNEcH zWT_!L>d3D8Y^1rf0b{K}=_?V+T9mSbs2gFJ!6F}AyNY%0PMKnj{JFl7;%!p*ESPiet?uYhRGG1!R3O#aK$URM70zbY~sI)xdN&Gd-;=PY27}#rE~_ zL&K7}amCWOd~r+~84=GzG@E#Pni;$#`;V}m6wI|n@Wk2vJ!vSz_NDQzJ(w+twnd4y zRjMh3rSTx6qf?F5GzeHHmWKTEk)6Y}tKV&Z{qM2sud{KQd#U8XLGt({adw{dimXnY z#*WW+j!thlyIr}sUA%~8_l8`(-xzZII&pj*KYATIe6@4%awmP2IJgA7B9%?-1h~wW zRUBv8K04n#JXuX=R`)Z&xOR})%p9BF{_?N&6^EyQSG@b${oX77t;rh4)dh$0JhVGXy**oPBs?R6g-}W4DpRZ?;aqU z+uP^q^sCF=^RqopZ?^hKl|y={{Ck_`}@BK_$k28es;^>{`ki~>}+l8?(&2~ zp75-DF6^8OJHm60@Vq^|V9l~xuVxv)T;P7S!2j)n;F~$&@56#`LxOLE{I5g2uV&fr!mR6A#;cnR zBj;Z7iHDeRWpx7J$U{8K8U^K5kowwBe(NK>^%CB?ac`aIH+J|t8|+IP^qmEEZAM-h zF=s~Xkr};jMkP&%qye7L!eT1OwhXi-p4Rpn+3im-)elh( zkKwIPU|r8>69qDKxrJ6^z*nk~<-h)Z9c0e(T!gL`qpC#6tXGJj<)WE#F<=zX@*98~ zrDAA_2vRHn7Xk>u1){7@6i8+YrH~>iq(nATA_JF7!6lOEVliMBQ-y$X2*LS+nF0a$ zuk#z(9U?cCoIm*=-{)eDKjV)+xwQ*=?*m$Q4!JXj)R9B%ctq%UjO%!U?Rbptd;)LF z0X5zkulWQ$R>kAMO+JIpX_jfVT!Dhk;IRl~CK5?QAxIbm4v!!cF?1?{4S4B|SFpeL zis|~#rW-#0k4)8N^SY;MKAEikWTNVm@yd@!%RhQg#e2poKc1-kWUA^@Q1vI!>R-UC z{|Qy~zo4o=K-GMKtbGWpeF&*}I8*ZwUV9%^e;1S8M*0Pz>2pGM)+Gno{1nkygq~={ zp(jX8JWbAL+VwoIL+o(N&0dAkD>r%MCbz=mR#|*nTR>+I8k`}cE2Ojg6h@~=Z4#;s zBDF!JF$gufTd&Bfg-Xp=YXmB#KrRtT`AiawFxmvK%fZ*)WjEcIw?E)EJ|I-xpDDUO zoR`!7>~YQGr(^BCbOOU{_S;Qvm%-}Q>-;i$5O~)Rn-=k9Yna?9^6on1@zP}e!dUqR zvMI^vJ(P^ah5dk6EOMF`>1~UojwM3(I<0qy)4$2?(Lt)w?az8Ea|YX*$3_q^l$a;7 zTAlN=3mfjhg4yBMT3lJI?%UWaKq`!$pgkP%E@ziN=C>0|i9J9n*7q`-=@Y;!R+EQI zvHhi;8?Q+2t)=#tQwIyF!$>l-oH|-d9c`q~H;>CSJGot=u$-t>>FeB>O&2AN`-y~J7U`iwKf<;)t zGOTbFRN*+i8^G38NA**2y$s}|U@IIcW_2V|po9Z|3fdyzoBIL7Cn6Z6+m`L>yS z_E^zaXKi^+`-7^{%28r3LpiN-4hxK(bX6-++Cfot)75=!%>Y+9B$AGZrGtEJKg-fZ zvo#Wp6C^~(FyvEb?jQ-f2M3Zk~XJBO}o6t6gOLilHfK*dChD5mPJ8}i`lOsO!5#&3zxTK zG9NBP_QJk+(7Nr{#{I@rz`7T7>;~hoNvSv^vOok(y{f$5P&EoR6 z%WHdfuT!MqQbZWGd`zV7Q5wdLR;a@XbGiDBrdqiwpC^4pm3)d4eF78aAjSC@X(e9S zL^O7h9ereX8^O_twbY^wHAr<0Le`8`4ABfQp_8baXSfsmr3;)t(<51Wfi&gA49z6Z zByV9_78%vd^_xPi8gHe*{(@qBPB!LKEX7n?Da~F^b5znCwG3Ay%hSsC0so#|oInpJ zFdzsIOCsZnl?mnQEi<}plx2_LI!4)&Gp4l(T^MFsA=q}9?li@n#(55qo_(}=1*dZ3 z`EuCI%tS-=NZtd+#IQrI*jnA**uPx6{&wxR{~o>mI(c%jzrVYe$?Tq6TmCJ{MvK-A^+W9 z8XZojNyO1$CglUwhQV^@METrIc@R?Wf>v0d6&_5(Jf(AkJ-A342od_-=w9wf(^PX= zP2p28bWCKD1^3sNGx43XgY?z;-q~3)a~e;d07j8IyvV-1qniZsle6rc%;`n)>?(c! z>iFVyCUY|H^MVKae)RwM3ywy+1Adp^@AUiae!mSM5VZM2ra(~Z^DDewIe_1%2>4VX zza|{g&4)~pIotB0du`3P5uM#kEJSzbqx%aRdkbrO;l)HCyyf<_mf`+sc%BG zceC`j0m?fs>8%_8)`5L%L%y}be`!Pf+K&9S4fQJv`ke{$+JreXp$<%llo6iN!&6## zLIvBFLAFGobWo6GYE5`b54IRc4}8YO&=CSlL$> z@4aHylq*D4if+9EUMYl@3unqikTMCZ{087gsTfuwf))#A3IT*Og`$~4@k{|A6>?aK z0uDS|xdK`)1AYWtBAzZ1gNnp6MPg{72v#J57KvuEcO|z#ie-@EpZ<^k`}Xf&4$6~E zJr|BYg8eEvQN z>wOm1XOlIbPE_Ael^rLud^T0{*=@!Jr1o=2?T66Xe}>lnBed=VXx-h*nU@=QvZe=#ZA*go%{t(dG z{92n&2VnQ>?S7rjtF?MmCWlmO;>$HWxtg!k3e`G+TE|ywc`6ML7y+`Hp%N&hLaBg7 zf)huZZ@q%mbWhg)fYbN@S8;#3@a|AvPRH{n^-o_+bPX^`Y>PE$vv?dPt5dJ{$e95? zBuwjCBv!9so=4$#)@L3sPvu3%%QsMs33~T|csMTT-Qcz_v746Yt&8Lvub}p9vwAm~ zT}EgXvHR&rUCwZO!*D-n3e0A54QA(jXmQIGTr@fZ8bB(to%?(ScfjloSpvXS#-ev= zZT3bgBC!hmRD4$I|W-Ve63)u#2u6ujo6G4xA|lkHkIM z-4LvXD7k7CTe1Mli@@@iVEN0?f>n6Y2C`%eT^2=`M$skNzOLAkIIc8-FU!_fpb9q; z`6+Dv2{G@IlDCP?cR~yK6Q!WO#=6$NXU(8WFs*~F8c^Gt`G#_`5;#{D5|qVcZ7EG( z#?(}BR5e_6D_h^ovJ5b+J#d)HdKUwhjW1kp4 zI=F#uZm@?J>f?n6g$pCnrE$gTxN?2sCi!Yww=-i(!mVkDB>^@^r%Y>b`!?RQOABPE zzFo2_MzXC_Rc<<8PA8GDhx7Mf%D{L{OD@u z@FI4T%(-{;YVY{SgNuWip%nb(P4xOk`dqGq2-EFSA=+PA+1n zm$B2U#M#UJv)4!G*9QluEHd>+{}W#(hjVUaHN3nMTw3-oE_)-(?#PmJVc9mnWDYOr zLvy;&tZp`}2MEt*nVU7vhs_J~)=0!2S#~b2xt2EFi(BrS2v#Tg%;^X@^~H3e((xp?^D`Do&-^>Czh)*WpY^Q4_*W~5LP0D6$_z70ti5%5K<_D7K))o5@@j$T5^j7QX-it z5rd1xpkfgy>k=a1+aOs95rS`)PQZm?aG?}jB%3Mv!7CKt0@-w)c=EYmJeN1}j6L|2 z+5eOdywu*Ol%8j#?x%#Fr`Ybt$c`Ln(;ZOVC)m+49&1|Xl;|89g+V7)==nSehr(bW zF*FpCj71ReFbWCHq!PFc8ktH_J%s($Q^Lq9Y{UEU0B0CSi{|!hEG5ZKcBAuCs4yLK=q%3>+j6e-94~$%`o~Kd^6f%)a z$R;6(qb=~-oNRqX(>-a&19roGO!>XZ{5ykrIh`+_H9aqw>K$fLcvkzY&E~b5ZC1VB zrQrC5$S`YYk=(F`c@c$vz7Br0GM%?LS-y#GNYFadqQN-7XM@wW%xYSqwJcFOmWW;J z)b4F&&nBb80;{ACJe_XI8EvoW?;05%B~h4aBj6Rw+s@FE-WgC^Tsns@o2BUwJ7y#9 zg%#h*#_YyUWG8DBw=5=hm*RViJ9|s9eZVW$Qb+5%$LlG8qm3IjQ^&vvIL6xU;ad7+ zJ#(>fe!a1`x4slubBUu`bW+%NNUJzv)gFtwPSq2qs?jr9-?^y$MAUI4>^>Cs9*O%- zW&P($z&CmhgzdYWrfq7~TGlIGL;$sb<}E_=R$v9|h@wqY$yPQaD;vBC=tLY>oWPgH zFvUCQqHR>+KB3@@l6OUa5ycmH;Kh>33ixnaYtLw5FR~KJYUHb%HMU}&{sBSp5nTE) zTJ;HD_bJi%DcSHj)sRCoR?v-IO!FAaGR`%R^UPyB^AOkA&o*?k4DC!)Gu={0wN+E> zm1I{H*7UY)yG2p#+V2TsqiKX4un zUo9?NMCQ(bgL8p>w>xIEZ>g*sdgr>uKW`04WOfi;SC3JYq1Ab4eJ;jaMzl6E?CorO zE8W_ZUGXtg;0(nWLlH_}h0-*j6fG!O8%o@c6t$v6jd*D_Sy@R|SK(FFXjMH*-Gb3| z;tfL#J47BNT2~0>1*pt9##9ed6oVA)0L9cvw$_szWdv6V0MS`WvR6{Fb3P4het3+olV+7-ad~|$aTq=QGI9NF z>gvnAvy1)XO#0;X;Phqs?0WCyL}ZKEO`WQmO4659cM{qIZGU$B~Q))QYROH zgzTPO0VGc^<5}gn+C6=}fBH6k_HO^|?e5u|n+c8Az*!qmi>;&c^$hT)IJ#x)_|)?5 zuk{t1>Ep!FfAR{O!D`?zw8$~lV1;R<)H_`kfmh5SD+1Zw0hK;nZIIA7M{aW=nzWO3 z{Ju(ZcQw4DZltx5MIpF6&ctyhd3Kh%xJq5UNnX53p1)0;yh|Lviyys>W!~-_UGE&f z+CF)?bNVWF_9}k%dhhHybM_{^e^!)V_&?(ntJ|@S{&OfjBFBp99G5R7V@4U&I4Fxi} zgW1jk9>31()4JRmyF+ERs`W;dTC0{T6(X^W$C0pTB063`LGlS;F>y*x8dsA?&9pH$ zYhso^xg?z2kWR%FptJ#Y>O{W`5MPIg*R!OzVba@K;+qihO@Q#)hkfZqU%8N1PUMvf z_0kD|1-NqJzlU(;Bwe}4S5ESkop@=*pPDdfBO<1QZfj?fYRJA4av%pEN~aD*Gl*%OMK{jgct!Bm zE08xO7Kjoztk5x&=Y|#r;3Z*Hg?*}6*8755{|H)ozd!f0`gzI5s)mxnH#`GB5)C)7Fn+V z14dB*AOPj_LAUE51tL&^1XTE+yaG}v2Ny`E^F)&`1Y^&+Bf0FsTxNeRqwg85Hq1B0dE(G(JbPQkEg zBp!nfcmZ|J`uj-WRNizS)A#^U_h6>_0l4NVw7DGF)q)!y zVZbp$DqkVcs^n&k-es@`?4EgVXxTTr;t4Lg{PTA2tQEMZclr!Am)dBNY4jq6nk$wu zctVCi#Fof;N;N<06?(qb2*A}EI9dZwtq~{`VwsptLIPd^tIfgH-eES~lXN^_Hrz** z-5q=J#lVZ4uDs{1`NiP=F%Df|bIw`qezVzb)En$dzE^?|^ClOmEo+$k=*(vu;D@Wz zc}vr`UeS>j^v8K!8|>C)X5%ugWtq~kOai>3D@yO$q_x=*6}*wB@Xnm^_KNP7-kx3* zfhyNK=Yp#-$LzAs8B|)_I;Y?43p>IQ@8Vi;?WUk2zPq}6u(o%&l1c+!5s9T1wv%(& ziOSSU;&5Z{bSr(nxp%gaI^9g2L{lfR)X8>MFb-E!>6QJ=TIO{9>}qX)cX@R-;#030 zh&#gmeM(7&QFS8fzR-X!)svUz!t$LQ7T zIKV5OFF> zkYEk~h(KhJ07)=Zu2MNja<**Cwj?W9miyjbcV6xRDY-p8_vQ9;ul23H4!{GD>kv5m z+k5}}|EK6G7+VWvYe#8{KC+~JR?;%7te@3Y5e=m{eIZ(3gw~g1^|g3?Jx)`Pk=7&m zwFp)Pjt_v?z`AFq~nW_k(?f};q!8Q2tbsl`}I;_z=)~e|1 z-XT#=4U4}B9{(&5`|)1jE${A=jm;B_eP3-(TI>&2H=gY{pF5myx}49PJ4e=KpVY9< zRN6Rd9bYHl>%dfHB}Q^{N^o^d{9TajyMxMGqpIvFbtyz$1yR>es~e`(HBe0@Oj`k0 z*FmMt)BF}NvuSd!ewnri5+F5Jk+)^WDv4Lc1m@zexEUgq< z$Gp93VWpe4)W)zdHYVtx3LGZNqXTd(+e zm0F;X&Jx7nUO{((vOmu}TCff&UWFDf!ivpsz$;2EhzcvBN;XnT@5sm0WFi`hAopq} zJKNY4^2(z9FnPXz@*sTr$ba_KfA&0Z`XX@hgT3SLdk^1q$Dg?qPuz!(+(!>RM-RQn z4}HgvLPw8chmRtmW5yhPynmp#p{}E{_+DXJTXFh$_dPrczCfeVnM@{|%i{7`JRzGe z`YSBH@Diy?8wEt`=)|8$x>HL(ha2Jeav)~iicS*+3QzyC76f;W-#rCMY%hB6lV)8~59$z5rrPCza0658+L zI`3k-?jqY>hc@1rs(BgNmqWsJu*4XyY=JA`b45xfLoh$HK!)Q;2-GYZK7)gh2#7f% zc7A4tOe7EpSPUNZMSMlsOCza8jh9EuUmh#JGFEYQ{7WV(u8m(Xk>dJfWs0fF8vx+S z>(iAtQdC`^sJS{?_wsPVOF%nbcV)8n3b^Jfq~3GZ!2 zgZgljQ!@xG6+g$End3$kX+h|+Wm=={fvrJ=<5d6gKz5D?}-;5J~~BSP;t>#0r{7$`lCMJT4Uv!w%E~J_C5gOwA2? z!%ZUKIe=HBUG2)a)t;T%l2(Qe8$2XnFk8DdQ?r?xuV~!BH1FV=UBqSwp+N^JW)7vH+Ft`T z6}D72HZ=~zP&A>^X4&*;?c2auKw?-_T32<;8>V%Kb$b^WWvqGwshEljuh_(2=(GyoV=?EP=14r(_q1PYx`VUGiFSI0igGp|GlGSm{XgZ>|B{+=uT7?JPGxL^vz!n>EwXl@S#D^y7oNR`$o3<1eDGWkB+osa z7er(oVA7B9clXe_>#$PIRPD@gM^7)PvqcNq_3u!YUfOKbEf(^ zV?9}4Ptw&9)zw%GHgJeO)npcqLWN?b4nAO4CvD9HgcQVJe4PE8&J3Kq27r28gT)ENz&Q zRDh)g)3Q8>tOP2lhKXxof~sjw`4qiunqG?GmXaiu^Qs2AshzppPO~?WO|^J+GeJ2> zRRcbT<7#F&N(x(sriq7U_>E{zIgDQnk>*dS3#PRta9ufCS3@v1lC7-^%WVtxR_fBd zIa}MDt$lu}b78rQzShg!>}T)vbDaI$-2uL5K;Rt^`Ub>%ePUm)#MdqH^(sPrnu7s- za>8@~w}uFdo_URxD-cK*h+_1ZVDuihy?C}cA6lC|QkzSh1_7f5+uG)~HxxKHi=V%_ zfATN_xIsJ-O`OCoyaMQ3FVy0GG;u$Act3V@KX!Z`J3fm7{&1L5i%X*j93BUclA+_% z$jN!+^nUpCe(3Z(2(%}U!pSG$^L;1w5Yarz{5@;H!u=ue*ej#D|qy+#A8JTjF|m?7cuSUd)XLr%;h z$Ec_g1`5PR4f4?gVoaZAX21#z)0o5CoKcrx+$)|8NT(vQseJ`Fu9!+FCk~Yp$EwMs zdJ>R|q#AszfgEX|2{kmXhV7?7#5Aaw26>=@#+6eC^6`*l)GHeH2!=y~(F5VwkznkI zH+;+F$_pO4w^XAg$Bpon1PKs0eE0Ut;qAz5mT#=)CfrSw~nEoNw)4O+7V z1H7WlHeCdai7v>uf(y)(d4};U-B>!%ny2y>Aw}}RTxwGqwD=Y%2k?q3HMhRolM8fk zug-Pff@NtzKOc@JR!h{zAYC(hK&4Y92r*amia%cdPDd-c~w2ACXub3bG zf{W0L9Qs%;V=R|G1_(wLEj3e-F%L?S%8`|d+stH*Wc`g-Wb-DnIAdAt(M%@r)4`1S zzKjdCNT2OUBX*|YyV9^d>8SQM;LWc>`hM z#WisGwJ+MTtJ5j2OqX8)SKpYbe|4()HE`oiXv1}Q!&OB6RaC<@bmI+l%WYI!HoChM zH++u(2F;@26ynT0l}Tp^nG7-TeG+mM3W3fjwb(RvyJcf_&9S_;ZL+N>^=81yMRFBi zBIAlA9FdqU6fsh39K1O;7l4}DTPm363+DxrdEoXYlGDXXhE&axD7j)OUm&Crk@%s8 z>B?6S6<3MXHx}w{;>%wF=U?x?d$l|B^{(8Uj-oQiz!;6p)*9C}x+R6$AXUiKBDR4$ zYh%DxXFIl0g}YPNos+L`Ph@UQ7C4|qyQoqRzI>NZ=_FQf6H{KXj%!%QHf`aW9E7HA ze4`Oo${)*|?Y%wLoZnntU02mT4JC7>Cgb|9cG;m?+)&xpbt^mOP1oX%_ped`xWrB< z<_KS`YXAUtu@~L&hBm!XMx=E~MR)w+ols;aw(m$J zHXoBcbfy!M>4IkN!ZO{kEH6B351HjhW_w^c zyWm{MWS$q26++zIN8bsc3*6}H6+|n2yc^UrRMjz63nn(saT_>_5~4VLiuc+O_s+N| z1ES1=Ycr-b=@aUVF;(`YqF_o^29ealWi2RKJ63)Vt7yV0>+$NESzQ&ySi4|uVOhHP z)^47;m1$_0*VK?y6?j!KT3LovRwGqS2xSvWS&LOv5agua3BUOrQT;DOb-$L>{#t(TU3Jed^}|2WfPSbPcq;2X<98+)t)aQ55T!XpX$e#A z1s2-&n4KO@*Ak&sI^IBSuVhVv1T!SLP-WIHZmt0xNWkUT+gkUmF1ePhn-=4;(O@we zQ|JvAvD8Fo>G5O@m>?ZM^IG7nYP6sTCo7!MHIQrrbL$gxo1ht64_4id6t_Wz_rUyy z32w;*FJqE-XG)L_l@uctWhg}vT$&FN7r@0OcvU6U(8yitl{+Vmkx6~HSG?WKu(Zx= zK?^DbO)?+75JW{zl__QL9EZ5tjy@I%0o|rxLmerWo_FV2q#XG51%DY zA4C($P%IINpF|H+Uh$<`JlsEec#wP)KY1KKc@#f=aBzAbP>axE@~=`61Uk@@v*_7_ z*!iQ#`NPop!{FJ&)QZFLM)Z~o^8?|$Wvzy8X{zy0c`?|tpl-+k?q z_rCV=dtdz+Xo2J3ef^`~e*MGWeEt1*zXqK7;d|fsH3S3dpZ>YqNne!-1T0seI3)6W22`O}|o{^|2qKLhy7YoGt?>!1JY8-M=%wa-4g znL6Rq>%gl3KKs-4KmYmW=byj&=gTwycmDMG&Ck9d_3+Ps0l0O^Xa9QZv%jQH`1JEv zKK*lw)UUhXvkU%|dgkIspWXQ6f{*`n{o_xsfAr}!fIoh6$<<3f{N&1)T>XNN0j{L@ zD8*Yp%m3h`mp}O9OYdLs!5_c({)gXv|AX(m|G~e!|NcL}|A&8i|M&m&hu{6G`|o|@gZKX7!{7bGAAk3akADA+kAMG-PyXw?6+c^*q357hE2H{^2(P{`?{EsuUN`eCsa&AAIZc55D>N z```RC@P_YSyzM1lp7Z&|oBZj6Z+-gyH$VCPKYaY&|NQv3|KozMfBf68UGUY9e{;## zKKjj9FZfCd;Q8Nv?ZaPx_4mK{%5Q%5cfbD0-~H+*|NR#~{%`O8?7zSFi@*EByI=X> z*T82c^{Nlw{pufn`IYy6_IL07;_u)4)!)DO?%)6ZH(z=Gw_pA6y|1PC?brYBfBkQl zAGu9^rWju%o2ggKHb`db1cWLsu7ZOpO{oQ4csPTyF-t^A4)zCcN$nx+k3gt0OOf<~bN9Fj$xA*jyQn%p@a;6f|}Y zhoH_t=81@T0(zc+r_K^6b2Frc*)Q^96~Fxd$z<`%Qzcgbz$I6vOH)9~u3nOQSn@Ks z_$6@B_ojgZ&45YxF{y0x${|U%=$?Spoq| zCgf5gbC8|^sPMJm^Rf@z?#w>;iYJ^nXKvY~IR9&am-o%x? zGL?6|FYRh?)*HPA`F&;82+$Oh%F~&)G=^n`)+kjeRZ^awPqnhJE9BlSbcqZ6iWB_C z4mdNF*a4d7faf`o`3`i66IbaV)NbJcuc%+eHf-P;xA0Ay_(n6LTn5gefzrS&xlJXd zRV6JGlQ^bOt6Oni;Lxu+EnA)?*WQXJxR%;QyV}+`_6Ex-hnF;cZK7Q!2Y%` zy6ua(f(cI~>ACQV?a;|i;MnC$cs=`GPjuHCcI*Xrf+0sV;)w6BM?)5$NA1|wnWZ)! zWF23%i?0Zi8;@z7$ACxxI>Bg)Gg{&d;GpA(-F3q6J{R?z3A;`N?MZ%Xlve8{mTn<( zHep|=#g|@@b?Frzc%~PTxrfa3BU5u1j>+83u{`Hwrg!>o5OzC+E(+rtJ@{VHRR3hp zU|s82(*&+{mfgmb*W<+H6a3-FXx7HN)!iL1q4sJRKxW8 zwbPOsxS|@Rslw?hXAKopQym}`BHNgHX-sYF6&aeDs;W6<$&4lsqbouhYmnwvq_rJm zZXp^P=d@KMbumtrjZhW9#5GV>8=%q{gpC5a&uMu}*!XjC<8Ne*zfrWktM2=ycI2m; zk+)RCFBG7M!v14cSA^OYnr{m(v;}Bwd+aVBzt1BXvXI*O6E*mIh3J7+ICu(zpQ8#C za@)Gy8?m_}=IyY4Ehw|@@U)9GnPx$rVos*Pa<$-j{QyDRh!7P`(9?%0IWSHEQBh5^ z40G1WLJwE$n`N#{lhlJ~K`)HcF~w{grx%XVUms;$A7|f&inB4AJe(mLtxt#RvQUQN zS!)errBmvfvL$ABpA%hACTx***?N1b5}67~6;o(39?zhX*;zvC*u1hF%PmH8YjBc# zL{%$M(}dI1p*77!W7quRAZLAuy8*NV?6p4TY7Zb7^p&1etfm7b^nyftAaP(w92^h_ zdPRF(B43Zx->(b}X`?;b!#3?%qwdj=Du|NV=_0Y1M$i)m?a*rDaG|0zomYPgUwwPD zEUlwFA2tqRu$X%L%C>hecAUKbCyS)#QDS6$$9wbB>06?oPM1i_`&1g`QyElN1nq+-owX1z$?z* zjNN|$w18bi&j8JM56eRzrC%^&_XFP3LN88~|I^ey|J|26l2{jdLVd8_{~ z{(tfA?_U3}i}0V|-~O-v_TDeQv8B(I&D1GK4JvYzY_?uBQ^O-va&hGxY#AF}!a^1? zVTE)^J{_EQ=@knXMv>Y>I+pdNPNbkuJROnhG^w(BnD-m9pFtLW~#Sa1b?wu{Vw zF$Bz1u6VwJHpeETX6G=tc|4Lf3#HA#7YHaS9y?DW&eO>AocT+ym@K~XADFm2_);ps zet+tW?y@aEg7=GU;zH!)4Gq$VpGZ=qXrFkO}S z;Z7;#7t!zGjiHTjHrKT)AE#*DF;PvuED$=W88u5?ykMlm$ejeT765YIHo zG4wID9rM~clCA`&FG3s2QO0V(E>Ol=tiG0@tt4oRvD#dewg{o9LI_*nEDVllo|`;p zcm0Te?Ur8H(rMUM?Ro5?c13%RczM~oZp?dJKr01B^7NItVs7*m?Q((S%kKX2C zb-Q@|7GkStqMFoJh#72!fG0<>6bxHR)7m9#KK_!2W!hcPI_6X>vvM;*qDBi8aE=sA z7Y~!AJvc=xQrU=<*CHjg7-<((Kf$--`uE(kCvFbLmd62yZmhVo=TqB~b0q$xq z8!(F1F2-sPd$W({929s5g?oddz@R8JAP)9Rf_;)ezbr7I2n?!%{pwhs=CD_P29Z1G z1R61usv(1I*!FcuiFLeCJD4Z#%9?G;8n4XkEX#$C^wVfmjm5Izc88P4r_bL!y8rm# z@GKflMi0(niHFgnC()zF(W6IzS{x*w#800do;^D}f10@eB!2#Q|LkGplLWVQxLz(manRA!(72O%co=kjy7Ov|qw)GaK;VP!<4ra0xOK2t0r

g zSZ(16)pRNs@Cpjx6$BKW3|*Lk&*70|40>U1hQ*`tmHbPum@2vUADAq@I#qJXg;bOQ zQgH<^ic27=hc91x#Z>Y4CX2r}QGR`*`n8GrJJ3eJD{f<2-as|J2CusXtGkV8E<|_K z6NU#F_!%iru2L^bwMzn>ovT~o>Z}~CiKjEmOg61;#kja;TwF2QmbGS^Orz(?6ih%W zL}HrY-$f#YNRl!Nk(3Eohg8XtsW?&<7eJ!oiB)`&N+?!|C2E;e&884$Mw=itR}mH8 z!&P3RRNcgt-h>p~9L|1aC_inev}mZR7VwG%5?7&GQ|Rn+y;*9|C{<#um~G@xm*&Pc za5XOIZ6_?vfymfKWNksyH^Fx{CvO9e;Y5|V@YS2RniX92BDMxlixpf0U>A#+N)xJB z2Fb&8eZh`Dx*I<5#tyx) zV^8$R9X@i04tIlxyMaSz;BY&1xE?;-45#Wj1_H;S;9)4dAB;xa;qXQvw73`2>;{E9 zd-QcL$83>HX-4|!2DLj#?KqojNm85Qw5BklG0bR*G27$Ju0wV=;1#FBzH?FEeKA1K zA-gq5t#RRs9jJnBc-|%?XB(2^fMh!%IlIto59}hi0-o(hWCsvgerS$wI?p?q?+53G zAXyQ3MhsneK&T248)cI%lb!8VjeVs9uzV;rmmthTiwmIA0d@Vw^e`qpl=qT1nd8Iqk@T9?UR| z(Tp7wV>Q88j7`OJ<|DO*2wf>kTZz(EpmoJ)eID9SjMi456b&d5f-rBS!q3liZdFwI(!I6Qa}wDfN5Q=G}$%9Y(hq z*DM{cTIejqf?6lRlf4-7#DWMVF_R2CSmg#xygJFTgL#%|p&lYqjW8sAWL_JF*@WQM zPK&ChWQ{0I2gw9t+KJL_iOIXP9B^26gZj07&0 zv#LhCst~ElgsXDkssg047^yBt>1vS1dhB8YX}xK|b&s{%$#?XLH>RXZWSLPcQ|i^4 zMKd7fTMFYEoNuU^kro0jhn1G#mE|~94PMoNS9Q%>C&W8gQy8iDPs*JG{FNT=N;hY< zi?!Cn+3MxF`cp9#{(fPgUl}+To`DRv z;rrH5bvux}WpIIMvP3>wO6e$=tjXyr$$<`a&(F;$4VsnR9skMk@%Mjl`0&}`@xyrR zeE;AH%)Eqddd;ZyhF6Myn)Ao(PC{5X94IGPGzcmxnjK8zhd zj3pl#-+b$@Ug1A{5I%o)`0TCwZ@&{sgzRRea2C#ocL}G;B%s%{leg{292c?JFwNrpZAK{va9m)7fM^?A5`USXe41oDZ; zy<)Ii0^OA$TvF7g6tN;jEXfdy3Y<+fYt>K}jU2m0X18lsmW``x*0qhL^-bIQmU+`* zaeLMS!QE&y7~Ky>;^F9FG=6fBxPN^3@Fejt8Gn$BpC{v|$MKV+c=9lwOdK4??9IC_6HK4y#tpw;&2DHJpL_TXxkrk00Wd@eD`8>;tn2rg2!I}k;i}N*-Lo5 zagQhNaUXa+2dM)9Z`|#R?|S3Ap8Z{S#JwBzxPop+0Qg5bxBNRBdzY*i^6P|^fCFbsrs zy?d%|x2)UA@7m!2r?oqIt-JhtUU7Rs-VsuChZVh1#b8u15SI4^<-I{=Z&=+Q(G3Mv zgC24J4ySjM-myt-+?uW2B$lodOV$WQEBJyHZ0<59a~YMjg3Mcn=dU1g?eHu+Jbe+F zZbfF8QCWhKyTq1PM+&bF6}=29dkIwiJw)p@>fkLA__k^~-8`MM49VAwWbu0LkeY9i zyKj*|w@BbuS;#w5VzzFsNIO%aA(X2zl`4F>08!3Emhw?$d}InPvXp}?W+RILqX6In zEux46D`Z0o8Gu)e=cJ5cBo&akFr2{{$zqM>u*P#Q$YYMDrYTYpnK`|)M`571)2cJPAXbU8vjH6mq zed!g~Qu!W7%8;?m!{$?LsN_ohm|J5l`I@v^I<6*ot# zU!ShOgKSB|v}Pb0(;&5X!8Mt%<_cs-8*yZUGec8LOeWKo(y%7f+c|n0$6#ZdtX!*2 zY_}^`*Ho*ks>LOx$s*J0`3e(AT$~kf+U#SrQC^Q1O zMj%xSL@I$mArdMj5{+D@jx|AQufQw5i>=#(0{M#4967>m@Y4Sa(Op5{cPJ5U)r=!`AcosG#`>!UZf z!5L0O(Jr=n6I*S^RatOVHf-$@w%(3ySOPQyU#3MB61(#|i*u@S%0L5?Gk_Ht*K})c zyEnQOKH3T;HiHM7fmDcQ$}9FFmzBkK_9DBX17GaOe~{eUKk>y*ypg0kc;wnk?Cixi zgNfBhVk2_28%c)3r_o3<7K_LBqrOOJ)fdn?{h}>ED*S{MKgG1nlk?Ra)GB>6KMUPol1!9y%_VT&Eef^Asd z4m8(sxfukS|1)dT#rz}D%)1k^@xS}2*@4+f3NjfaugrZvp=S+=6V<}FbgVEkWsnZbZ zJeal|sw;;XN>HXkthpFxtibAOuxjWGM@PjaS)(twJ#X>bej;l4nXK_=s+OPW+kR%~ z{HdYmCx*V~iuMz3LxfrpqEv)Pm7$p`AF19+Y2KV`x1bvp6P4_qLfr7Z(W!}6@^%m%%B#iH9>S$1qYwM$zliKUjT zD8Nbcaq>K@vIwWF1iXT%>SHcK)$X~qL*i0wTC+PKTGh#~;TIpG1yRUJ*We z1Q1O=-ambEaQ1Zn{OSJvXZ!b`r+Dz@{=@I@KmO7F)3>8f-U&STk^A)fn~5j3KvLs~ zDmDU&^?-8SuipvV_l_I~4}nX&clbDP_$YMvD0=kh;P~;u@uU5tRPe_B@gvjoFTA4o z<4=Rh$I<&Q4&VIo`8)6WV@Z?Rz(AmAqus25a&Fffih(rqME(Z6avfE*f~m4&s~1s~ zR(Ps{wqc@FGg7V`tgu2GHc6d(+#w&m&qL|jCA4`-ZT`8o5Ut%m-|3_FxGDWk%D^^x zXq^OFoEb0>dR6!y1#wU|Gb$m0#d9d}!mOAaIpC4i^KarJiPy-!~1U~&fkik{BZy1`?18Ek^N`k=;KiIVJLb(6gvyX zl6#SaH?;5ahqm3m^&RKh&d!F*x#ij2+4DMsd%MwqI~H>9N8I}{_x`?n|6n(E;NDMM z)M!g3INeL65}}8V&%(*`=*fBH=sa|AKN!95kDl*E&wSBScjVX^PV9vDmpnf0_O@tw ziEA@6%sQ$;wP4WDjXI{uAYNM3t#2$jT&phc)~?^_4sAMvE8D@v^?~Q2U&$LBC))CLKRkfsZxQVb$cW zd~{PZyviC}n(MdC_E=}yEi=tFa`OtUb&J#C;`jK3Lm|<4NHpOWj(PY zF5&0~W5hlSTEh1(WA3e@YF3aHOYm|VtkeoAvP>6Pz`2&mJnKZEb*$JrR%jW^vy5dK z#Russyv`X;lMH8TK>6mOVrgd{tuX^z zaU0X{I=bUE^x!SZL>d>KC&!h^kQEYWm1wF)FkQ)mmU3W4Y-kZ+4y@?{7Nmd)&1b^$ z+3*4mqL7O$;v$N;up$nmkU5n{AInY!OQhl@(rKV{=13N2G>1Eu%elyQ1=s}xkcux> zJuapu{-%a0tv?N5q5m$xU%i4pbcX@Db72>03{Yw+V__hj+Luo0PD|}J?Ml1!3PN`p zq3sr-@fxo44fJRp5>-7*9b=1`3e&PkW@OR?WE6Q0d*KyxfLB0C7zhClVbCdZt=Q(U zev!w!`08lMwb9aRW2M)}%K&anl;4;ryFO8NZKCYzWcjtJ%UI3IYtvQNAk}~6>U7mr zaOD+%sj90})iMYQIix{8p!RmlEE#85kObO1RqfrX=KRHj(0QEIFbrHL=s zaphW`${^60#3rlEx~N!MRxa6PW~*3h-+BWR<&8eFkW7l`UX)bu78v}Snl^s`U##dUfHCA-J4Gnlj&GJlz30Fey z%kL@4uE{M1^^X&%Jb`{yyXIc;?QchufLCk;_BZ^oRPw7}YzM#}-QG)ig)6Y{2_?Ld zLto_B7fE`X{|D6qZjQY~*#HA@Kj;+SNq zM`R!4Yw;X5mx(toOnT?K?~`gzDK#-#otM?Hm&)ngw$JEJuzHR-y(j$sGts~U>Cj^Z z=tR&Rqc{6zE8VyfV+*&Tk_@Ok7osYFsB@vpET|$2D$Run3*el5 z1UCaIdkv*8AexbEqg}0w7*#HnY*{RlbHy_>#UNSRHLDw=XpvMEVO}vaFC$T2CV@Lx7=FU+`2n}> z$HK;+NSl7DZ276S^(VT{AM1MG(G5J8b)9gUBh;EOsWMC~4`WOGglf-hlatc9f^9KD z>J-Bjv!iXGvEix-WD|-V8vB%QOT5` zcv4u8*LE?MCuI(X-fgq*1vd8Lt6TT&i%*vfPgl)PH>^*#79Vb{oNulrR@Pj)MYGVz zrfDaM${M6J8zRYvN{e8!YNWCgr<)*|;q!|Kh8@9KMeAI}Gk~CO<3v~u2Rq*XQ8@`j%qqlx~`1GyB$&2{G zll{cg*zwco$rr>daohrBKaf^sKw!f zgQJJ0XJ4#?6o2$-Ao)0Q|3&=yJ11}b$`?7*D>Vxc2yLW;GgKiSNY@N!S*MED;Z z>J?0l9an2ZRa&5B#>pbUEA*q~y5Y)2SnU?E$xCnDn{V+`8iTX-;kl+L?Ou%49-(&z z=ezc(Jw9rmm)h^94(w2R)<_-pnYJZT*CM&sN*T0J#>`ZRc^+k95NsUsB9Ch2Q>=WF zO-NZ)@V0eom)YW4T-se(ac`{eZf(09u3eYc?FoAJqF(=jH*n|+9Qy)EU*N5CqFqKEGAfh!Po_<}pWfWsejrj|;>u1I({1`yeeMR#K{R}^6171?)1 zQ$>i}(L+z{$Qw&luJ<1t1>#4+_)*~C$PYXd1vvJ_QUE8oV+mL6VAUTmI-Rn$RiS;6 zV>Qu@TBb2o6OCigORQGy@``PJ)4smFw!X8u?pR%O+SgpR)m`)Aw%)w1(c5JTgFqx_ zv-$J|`aFp=hsVxi5j4y+13k_`j|$KrDP};8>o*YlY^1&w>fja)SaXvBD~ZJEwMlf&C>;DaISeO-!fik9WAkr7Fovf&0|^m(M;t? zh8UDiYI%LU@J7?C-@AAFrOuoy{iWBY8*a{YU3x{98kBDuERl5P(;70d6?f1LucO*u zMfSf!9=pqd<;k&SQbdJ#x=J`vEdW>Wpk-WmF<=f{ND*hckPQLUBA*G#V?pydumUc; zkPEcX0uH2rGnL1h$YG9UGe@(SBbflKlviYPMsnCAIjoUv=14YUIExO-1f+sCaG?-= zcWC{00iB>9qkvh|6yVGa;vStT!XZkXT?XMFW zuj4vjM~~zp5S6pkQI43UvaE{bW)@vUMpLLb0-c2BEWl|bC>aC6L#NqHs@4pADc3K( zqQB_nf#NGerB^{^*N4lmkCflI$ZB=T7x}Lys;*B~U!SVIHeGie08)Pg+VBdr{syG} zIuxMp8npHrtnLP^B@NzDi0H3HPxRmrU|ec9D;|L-qGl;%2AeIC3gs#u&}r}`078jM zs?sa;W~I@puq?_gHj&=QRce_M<-ABn=8I=}VzN*|7Re}LIa!hdIG7X5sA3sSEN4oU zY^jPTRS6_2Kq|yyrC2Bz@nsUBLMl?r#CkTFKpd%`uKg~w;-67vSMVh_(Iv0Jir$zi zyggQu4S2;sb?r3J>7yA8u9YXVh;>HAl3t}#s-+?ghi#dMt`b`v$ZQ8H(}79b!QR=1 z-`WD-*c!X)0N>e#6}VB=o0v+#D@=q+6Smrfsxu?&m+&=fq^iZ4viX66zS69^+(J;_ zD4xRMX_qyt?$x~m$NuS7_;B67zwV0yUf~F(Vl^Fs7$6k@&b^q+zrPze@B|ONp<{0- z=?NUU{eV{_Ho^zXvHkUfLwEcvl6V~3zaI(hhkc&qwN<9VFgh=}HzTYfi1TpLIwF6R zLMPE?)$@>DO83LrsxwMOgjVfh)q7aYK}Op?y*tkAIb`=Gd4N|8K9qr;C`ZqPy$6g| zKdHt`sMtl9I^cy4Sb+1-!x!N%u|N_Kv^in|$3rbteQ# zOJFn3DLJR}1!hDQw!gWhrN6Qll{d;x1FN#8)OnNY0)T0C0aR0r&{W}+%_Mp2oVp%ibfB3PSdmpaMIo%74B^yNm@QZ3zDJ!h;SYR6_cQW7pi0o|u{zsYKQo8S0j zanp|#Ek9AWzN6`UThsTpX6Tu;_k`URp*BQjt0K6P2qHg-Dfbf^J>;$(eA_Cr$vRy} z9dGXk4df3@mQBvqp@l6ZQysxjiP4rK)HMWEGgZ;SRCF;k-3(JV&C){DRwE^45J4?b z)x@y&h}Uq+b+LYZ#k%gc+YeT4XB(#b8|DW9>y`&=i}zQSlGdew(zMCdDyd2|LE4NG z6+naq5OKk@v<|77m^0EvOLEP+&b(={Z=0+e3Z;e1QL>ma4oATgsA)nSmT#QkS$i4Q zCX%@fZ7j!{>&Z*^XltG9)gJD0Ki@tgTbt53khVRrad%L**2b~4aTYuHYn`I)PNAz) z=;;#fbqfQ%qHw=>zfTzM75IC3o_?WcNbDJwd7!*y!h&jn$dVAT7UIY@@t%Xw=)_e! zFy%|IO7&C~Z=`y*vv9gLeX#5ecz->WFeQ<)>|5*pllv!c|N8LRPY+Ii7)v~l9X$iO z{@B^G*!lDQ^EcxUUH~K>zBqXBX880eU=*%{v#m&SHE_7>KU@u-u0C-#($!*%$7JYn+h1llLZi^PSq>L>EYeU7gtN1px(4vtp8g+J?ZFOZW)md+Owj6;S zSH$7oclr{${v%H~>5V46`zM|QfTRa-fasAYWebPy{lo=v_x`@?!YG{4s526Cgn^q+ z%o$FFi|?k016RWvKJbS3z2TTI67^o-iNw6oec%3pZ$IukNO^3R~Q6_2!0b zbw#*n$#kRO^wQpLNHZ4nAmZeRTHI<%7 zYqYDh7P(RCT2!Y6*Sb90xJ7Pu zQ9AdigZ}wpFMZI-?Azw_Zg9HSxSea~S z$SQhh1>U^^Z(2oEEyK%fFhDAb0jV%e=bNTeUSS?DvW}KnM~f|^1?I7A?Qn){D2?BL zhtTlqaPHOm8{cVu<9l7XS3ngvpv|w&cE7+6i)wfs(Rvf!d!00L zn+?g8Vag=%auK*nFka1{s^CM*_=pldyqE_q=1ms?{=k~fV@>C>AbA`}9v70&f#h?6 zgXw(UR32|Kk2jIW8_(g60suyF0VsAX#By6}qO95}pe zc5av}VQXybQl*v6kdQIddBO~ng5@(13^J60nZ`{|@z@JyyVjl9z4VH%f|q)VUhXTo zI#70PsQfx`(MBq7j8p+!9|fqsK9=IzcMk3fi&F&E-b7C;1;~)7NYqT zWaBkd;|)Y>Cak+025Q5gATtXz5?_Mj2#`!Jg2^Uwx${B+QzT$QLrT{o+wVP;r;0G^Vq?IP$1%S?dXjr3|&+Yp35GdeQk*Hy}|kP$@w^UNKX4MlKC6RPL~9cUet-Mq7;D6KD1UUUAIrKNAi;l#M)9jh~4I;;i;ys#Zw# zE~d-@FLJ^PUC@HvR0i*SA1wdEEAoQyybwIc4@vV*-g1v!_l)24O}rKW-%eofKBT5U zpl2_k%V$B&oo$14eb~Yge#WFedt940rY;;)6;EkPq55h}DnMd{W11Ek!5rNrT}@;v zmZXwLM#0Z5>}N{)A&=@~(Kq-qv&3Rn+BdWopUL1-%M2U_n~2At2t#OQ14dSb)z;um zbu)`C;f$s(~{USAFZ2`%cj#M)0x$r)SDs_t(&Q|kfpPDQ3r}&4C5D0 zi}EHV^+*+lW!4+l+*>vl*u`w+3c0r@3Bp-TwA+vtxM|Yl(;)Z-VWhj zmnhgHj`m3oQeMIL^>Ca6g56Q6XG-ZqvrH5MgFOXN!9jLx=k9ESYo^{staA`*ZSWfT zL^X4ulF*hnU3&*qaSPF3J%<|=ix%vgYr&I8XYc&s==m@A&)$w4zK9;b89jXtNW}qQ z6c4}u{}Ody!Hs2Up4i_cZ78JKn3msYWmGRFTCzvD%Ac1>-$KX5pmmkkw{RkxY;)jFl zH=Fsp^wC9R_td*~zLV-Vf1HMgGZc^40rU9J-E;6+hz4`ut%3UGbtWCAwb4O=&%^$7Gli2 zd4qsxk+U2+soSdexg5bjC=yM@lWWQJPI~QdWeezx;D!wc@~&uzmpaWwM+5$6I?xn|qnf-GhzY z{f+(ojl=zoqr&XTcJ65BG`o|}?VROz&d-;Rj>6m9&gErGGHHlJ)PBF(>s7nlYKPP4 za@###uh;K)d4qO$$l?q-y#a5~AB=_~$w+)9mfDCfZzopw5^D$1<-Krf#~)jFdgB(0 zSF1M3_!6Ka%$Ub4!l87?I2}C5oF3rL3`n58MpTCn-<+bfZY=`O+jLGicPNGJC?V^r z=_TbvR522fjl{$gNdY*;n@)1U3C?7S4_=W%H`VYB8GM-uP2i{F^CNL=cMRVc!PN(` z04i#|=xPtT%7d=(7F<#H$rbgVTv2X^7VE%Iq~j0BZQp=PKX3i&pL-tuX{_=qSnGF$ z{s-*wM+(3dkb*1R;CkI~m7uGX+WeH<`H;~6EpF^92K12>Q*IzP=x~i1RI_TX1#pEL z*PteX)cATeu3j}?r_sU zmda*Iq|?O`aIyHWvmO8*o&u=gjy>d#KKPv$!oSj@==W6?e|Lp==7|LIR0=JU&lbyI zCDKAoZ-6Dmyon;#=ri_231_;JJ6p?{u3(KmVf20rxPk;N#bfK39Ej2&b%vKrwvb$6 z;86I2MW&3qpplZK96X0IPeUWs3Sl_q%iJCQb$^hGFQC<5!fL;Qf$q&V+?#DIlIBD-PU+gAP-02nJ(;Ef6pTqD6t2A(V1uDzQo@*BVtiqef@c>CGmK-RkgIonE8e zqqVveCc79wh2Fr?>R1{bQ>_DZ!PXkNdNWUN;p?pey-ldMigZ9M5}id>`1FTOr7JAd z)M_m{ty!xvY1Kxp#;nsi^m>nk!(5o{LU#TM-TaTl=07YneMYMPYQE;Xxr&D~)#a1* z4Wmun@JSSvA`+>63bR+|c3VPDyUXr0TRm!XP_h^WUYWG|6>7ygxoC^{a1D1qjrk^l z{5p+!yo#+@CxBAq#t609ztHBRba;tfK0;4~-ksuh$2lExSRJaZXr!ieZgiYNW{Xr# zdvJMaFSmPkyMBC;-Z@#?I$qfWx(R2SM`x>tr|E-iYVUYy_c*|-m*fhOQI{%n2Oc;igj$o=BM$B9ejZndxS!EaAjNQ;tk}J4dmku|Z zo<&ug7EEaB&2WD$~1fEV| zXiyZM5QV2DF{ms7S1!$Imte-^j3qIu5BJD?O&sSmOC@13mRQIvcjCFQ?-yz7ud3Fc zwH-g1x_`0^{%o80#Q}L|oVryGoeH{-S*;lwXdiftq{cm3=kDV04t;QYp>J!UM>#(@ z4H+*Uo~edX8?lPc1$P_O)k1MLksU1ymNtg5lVj);xku!&3H9ozG&00<_Onbqe0!I~ z)2;MRsr^{3k7@AA>^_Un?+f`ueqY?dR32CW2*F;1-!8R&T-`Oa!9|w?CxTJ2`wkm8B!`EO?O%A@)v*eFGwYw;<5T4sdL=dI~)Q|@2)~B>vQ`((L?cSLB zU|4lHpg4jWGbB$&5X%T7dxGGmz`rU~nZ&dO>CCtlJrbb|Zn68enBCj-jxA~{(ED?u zn$@sI=12vq^YLWU_n666CV5t+5`>cRgR2*}zy0qQ@BZ!d=Evjw+uY^*{OyOc7eAam z{{SR^_a11Uzx*-(;$!yq{lVp%&C}V7pV#&?R<()^nGjBP>Y>d(L~Q_F7sNIM@y#JZYlzquCU*q!t$uW) zXRgi$t2aO!l#nI^s?A31@-Fs;7Q5s0&Lw*LDzklq-M+)^*yeO@v%0pK-Mj3*LvH^O zf8dDUd(7*~@;U%roQZlaBzr4xb1|vZ9e=;n0z2AR`>u6OL^O!0STT zhInp6idd5&QWAJX2oDL75g9(FT1aTw38OG!mM3l6l+(22aio2obikhuhttt$IuTz^ zC706aRC+bBvXNNbO093Fwsx1ccb9hdmUi}+b`O?z50~~bX#f=&z!+zRf?e5*&FsbR zLmWGW8QA>pF_6=p<WHfl^7iBiE8N|8k}q4o z`a}1l&qk}ihP6K+_CE&t_-aUrex}ScU2X$csfWvW-Nk?_D4h?<{oj*DzT-fj%I7Og zRFIy~pusdK5sfNzgBshQApoubX>bi1Y=deZq?`vS0AQeNs+wcXU;VWX}J!0cG z#HMet&EKJ0?jzbCpn9HRhRWwBYVgw?#MvP-e2O?bj)RWiV51ZaltIRD=oBuK!RPRW ze5pjDRw#`stxacknj9XB+h_IqZN7ln-qxK z_K(E&|Hx?n2Xez7&{bc~6n!^QRyI=IGyocyot&r9B{Gv=W%uemE{ospbUA%ici7;G zDELt!EXHhJq19{?ix1}?Y|ekbgt;HV+)rSiEaOU7@zp63C`xGw(mDg=?f{`DKjedo@QB3kD1kntkxrL&xvs8R63rQ z6PTS0!?Yg-i|)!IMwO?7g}~zaF?ICefNGRvVkwCNcUn+LT7yQz&-|Vv7!{ z{4G4!6kE$)((pvGVUZ$^y;q76#yBY3|MQiJ# zp@pGq=ec?$!0%lhRm3M{ez4RvB60UgJ>4?zpxis5@I#gUd7YnX^m8nJk;$ttc+^^_ zLS~T&3_P}WVNrvnsi9CGQm;*#HjvH@Qg9vXPr;m_QL_tT z^AbE!elX4Otl}+evzkq)W*e&Af$H|hRr`Ii{dVC#(sra+$tTaRqDRO6%?(E?VbsZ0 z6r^~x)iT!=CHL)chj*F1`}Fn$a`Q5wDKOt)Lez7{%Me|UhnpV2Ct7L5S(#iAh{q1D z?(Y8ezh1rjEr0VNd;03^>fP1zA8ua#c=`Op`Q7{c^_#Q1_ZQDUUcC4*|NLX_?uUb` zcdOaE@XncgHEUnZS(ZFR3L$s*h0`Qk3R2t!(2hjWVIW7+tDWNKeBosmI~6tH6@>_86L5zlOjX0{}-Eg5`E zhT4#0R^_-AIcY_;u&idLHN2!&5Z8)hI%(9Ph?-O(i_T{=I~{hX$Lk3M{ESk9{&qWmw{!OV(|+`~d#5-1`P;*@yTkLlgZ$NgF28e} z-35|8**nSYWOG|5xs8*P*v^h?d086?DMJBi&?oYH#6FMA=TZ8+dcV)=54r>4fIl4b zMN-~K+#ihu;sGGRcrZ{%C>ReFj)`ypNHXkCg#Gc5FBbGfyv~5j>a`o4CaqPcG^(Xq zr9>qYDI{F6Xkk%^#|hAL5;#}^8&$&wG>9H8y2FTTwNu+XthNZRV^!39ARWv|M)w5c zTkOd#4rEJ&*pg#cg^1YVxCh(iMmKxsL4Is?09#d<0YO)LP}MGEg%eTkgqOMI%G|SM z?zwUwqB4N0vCmeiC(8K)W%$NN6UFyhzWSH0$DfbZehck-L>hR;A1~ESSL&zB4b!D2 zaEW~Q8K>tNwfPCP;}Naz5pDP(A5yHsR+?$`dJ;%8U#~=gR2YyN3)0{l3aG#}YH`gP zERYrzwpoR0ki%t|-AsuVT&xBc2`8T}j6Xt;+(!?6haJ369C$z;d_*03vM^jk8!w`QpHd)C zxRgPSg6H-n?Pi}*q*fCd8p?upk*4EN#Y`HLzJRALXsxEz{k7M>KL6bnq~b3LWnbYd zzrxns!_<9=s{aDf@EM~1U*L8B46pr1Ox+)d^`B8eUs3DtQR=@T*MExx-A6TkKiBdI z(Nl^Zt(~7~BOu1fxOpmxM#9b$kWj+h1Qi8l%tN^Zgpf*-GT2J4L?za!6&9V|ZE^%` z!Kfn|w?`t@Pzdm?!er+w3@oXJsZcXCDuzzY)@itU9ba!Ktk2Y2;?H-?8zt}&y+}Jr;-8f#~&K2tY9$qYG&Jvl^Smq>gm`&{$ zwl3W|$Q@+P4vq?wq^sGpjqLeh_Ub%)n>)VV%H-n*8GU-0WOEJ(q-|7g`#cA5Mc16D z2d(bITTx<zxZlUFr*`4PPo=L~gFUPy@kaLf#?HIdl^2QRRWN+!@tr!nCuaAB+4bJx{)^Z1U)=VeP3l)F z!JdR`6AEZNF;uJ@)djkp>qG7>xMO9(8fREyR7(D^35Uq&>@P-DR|_Qk&PP zZJU5AXuSuE-C0)W8Moa^>PO9uRgFO#=I9+HO+Pz0zzGa;{X<+|H_OpVH#X38&1`3@ zDB7i18CE4{v{AS&09N^iWS(xZyHo7#5c@mDfdOe?TpoZZ{0NyBCvg#lHVo4Mr>Lg! zvSGZu8>eW-tLn)53YxiuW-TI`pUxZ0aHbZTZJ6ht5_rbBj!~v%aM9eoXlMewN2cg|V8V)8^`#s`a5N8|fKK2}4z4-H+i?^ryxz*)0ug}0X5GO=^ z69&Hg&2Zbdu(bIiY9HOw`kWOJ!uq?uy z7(1dyw_1>u&iPs&p&?9eiBsEB3+>DF&h>&WdJedKS<%qBeC%2?d99r&L^pn^89h@E z=hcH}n&ETZ$hmGbuNpg%kDtgU&XiME>ggNJ^p$ezTsD3t9nDKdPsO8I;picMWS29% z#U9<@Os(@E%iP%{2OeP|Lo9TVjSX<{9zMk?V(4T%omyftsO>hR(`|SAyxw5Q9|M4~ z5?S2>Xt8{l+sIuNTyg$<=i=q=#ml|(7klT=4=!FFUBAxWzB{^nd6>W2J3iez&i$U9 z(WPC9tRAKhn7 z?6M&{0_3&?zbrt67KRfa3`O#A!ST>4HpiQKpXz<3inv8d%W5{Sz!T} z8Nns`sUq#G|7&^ZKLEpog9-(`y2$O9Kh!Hjs zC1A0{0;zz*<}Q-i6f~QJWD($OB2qvjNf>MePpXmW^;)ON5&&Fb@&=7Qzt-(mJM40^ zMWi$G6neH?$5HDzIvvNL;~DgPgF&b_iuLBdxx%j2IRR1VbT0j0V1<}7o3v6s8t&I7sF z&z&C~=Qnnad`p|kK$2$mO-qff3~3WZ*hLl&l7ypFMAc_;{ zlI8ibbzJ!d9zaDUkPUp*2BCVLP_v4ySw`2Sk-)KhWxi+~_c%i>yXhy&9CE0Zs^au$}kb9wH-kG#5{MRgzLjqlWLKNx#|wvPVh zp804Vf2kh06m=dKHg#=XA~vs(+cs%kyY#*zR!^SSbuH|0Q~L<;k%lpF%j`lsUf0El z_OfCF?D#M@-p>woGrjFhXB*q!!i%;DQ$6Cuh%7cK50A-$gHnIL#M38s0~wIGClr2| zHjL1QXQdt}*8-;NC#kw|l6IJ&?ZxZb@%kpbp`K)^p*X6j&MLB_nrN>h*_$c$PMW=U z(caH=^s}7(99JLD(06NE7{rrPU}Y>|9N-owkA zkFQS7b~lz>5i`%pMd{E3qQNRNv?)UD-sFz#GI|fG?MK9>O+sUm(CEW8h-WG>{m+J5 zpUh6Qldv#>fa8sX_b;vsu6Y0J`R)7DvzO_EAfjwdWfw1pT)SD6a9!vVN(!LW}UryS4D(%h7dM_0NH|pVA z&FGD~FurkF$mpeN{6aaAmyKs7<459&j2L_rRoGxdr86aRXqj@ZTm}EMdJ|cx zKmk8qDMMCDkrk4{p6R7xc(G{qnGp6^2z?}kJQhtq7J(m&rXC3=9|^!uc+g@tqMU=M z62PkdhrhW(J@!~L{!jycq=7zCK^`im9!ST(=Z=0)9eIErdWal)h#Gu|8F+{tctRK` zA`g^O28yUdk7>jAdGp;WDZ?6wm~C#YRH>jbWK^nzN)k~Cd?uC6V=}}7XV{;~pZx1z z{`|Wu;1&NgSNVt8>Oaobd`)bq3kfzc>1nS>^j$Y>H9%o4rjlPj!B zon51IXaP&;od%uDsCO9+pJH?xjCO<3rZ-r1db3V%G8*kRi`Q)n>E%kn0*W}>jGZXM z0MA&@7l_XLv#ll2CJ?H3kT`{6pjcA2!l<|ULSbJh;PHE$K8MHS^SQ$TXFQ-+1*C)^ zdmu?^UdNQ~&3?Cre3+bn9L7IO;7ilEiZy)AGO001ZI9EtBb1&Xu_r+22~m5a%)T(I z$28v{oG2#uK85!*j`xg!r-)*?J-K<3z58&GzuP=KUE4V-Y*Dm-x_x-Iesq>T&MzIE zrVq2}z0BI)(e^BkQc5y~WOxh4vh9WcOzIgD0Yq6UkUk zHj!6?&oz)sz!mD5Q^jOfI=aX1TBkN7=gWb|xC&T;P_aR%{N##?b$sPop{_;c61pM@ zFOScbrBS8p*wP(RX_j7n#csIaw(gKSg2*oA^bl$W)ePl4LFhqrXTLlIHYdTx#Izv} z(Z&#p2v!na5Qn77u+SR+A4JnT-p?MbQDOA;9|92J$L;BjOsw#>nlMi(W1x?H)S zq0)?#bXz^!druI0AdR-GqHtpjc*rPSd{!L;%R<9KcMr$h$+dL}ecjS1RP163l@=~z ziHpo}M?dhIe-t)-khZ*2wtvv~{bU*W%?18w8h@!8ycBjHu{zc%t#Mpan%K5M>)vPd zpKyDDufLFW1sD2g$f5SJ@pc%k9jkAnCA${W{mj)7&e{++J-|)$aig7_XcH?2V#ZoI zu`YhRUlW+t()u4FHc+6&}-trwn0;IRrBX z=X3$M%7;+;W|cvxGBTx%jwoWiio}3CH6~Bb$XBNo%aiKlm^KPEEnyuSi@rmeFGKKU zFy2GF_n79(v%ME2`w7gnKcv}M2p;Wv@s1)m;EH)DkIMwE9((7PFaGr}Hy?hxc>crL z#hd)atJ8}DCxGNGUVdu4&H=yxm~r>v;>AxFuYSqB{Q2m`&wIB&tzCXhp1${IURyVB zluM`Lcvh6i2@_}X^toyM+PiZb+Pe$x-3In={Ck(4oio?gNpSycIrseV_WjB8A5L%I zpWVJYzkV0|n=3&7?Z4-)U!B~(&Axbd{OZHf@|sb=VGMSNhZ?OjEpbeHg3uA6bc7Z= zg0zkhsUwW-^rKo`uqOL7NIV51jDe8)z9RwUI3 zWNMy5$yUnfN)buT!)jRY!gL8~%tRcr;`mtOG02$>WgIu(ii*;~uc0R=}X4vI? zyISVZYaC{?+u`(k0^wjR9$#Ks-dx+kIpQA-_KuDE#pSgWgck69@ot`wKhoI2}Hx#p5tJ zfv4M~GAP6f9#_bqFVct@5_*b;7~~_n)u>hrrp1Zv3=sOF)R7bmyexpHIMZQDuLoW4 zLR5QDH9kzO2VLtzR@vc|w%H0BwA?yVZiSRuAw^c`6X$HP8(Ho{SDPVKlHsz2wqg|M z;Z)@}z0W?IYJ7klsbXO|M2Hq8v_b#L6^5A-J@lz;{3*Bp8Li_fz316te_``+!A!9N zQ>Ld>s&SQabcF<7Aw^Vv(nXCDU8lq}s4$IkRD%RjFPf_p!m0%`6@uwfA-GfoE|E+Z z%K%r*R;c0CDrAicRjWeRD+>WB(De#by#iS$N7TyURkFDXDXdI3Qz8RDlTJR7PCk}S zJrYkp7Qmiz5k(wC33smO?{&P{qo47{|0JCLLNfQY81}Vb>K=FG9&_m1g`tO}p(6Zn z33jv;GhRABT#D-}A#@d!JD*azAJKa6b5UJ#8QmBOXkAX3O2ucfxeGKF1;0o{vza8m zm?_bT!>LIA^71c#`9J=;ZnOFyW~%>jrskigYyLP>_r*-ZJxJ4cv(5JrE%#Ba-(y z$1zDLE{!5&a^wQJPHnZ>Lk>^e;PfkP4zbb5)uP=#kMPji? z%oYjIFj@+(&{^ag;-*!=QHpoG=;PW|P}ua+}RAv)N%X+l?lx!DulU%@&j0 zW$^~=VXImv=TI1g5#n4cdZG%}{}|R+HrLmP=<6kcVLU8d%~DyFW}n?1kA@?Wpg-t! z`yuIftg$$`bp=zl3HxpZ@gRYD62TQGaplXns&#zb3b|=%p)Il4 z6{U6siCuntcaYi>Vf2QW-DX^abf#=!sA#qu)YsC}-;ZDm%+d8+_W92T=P$R8^6Ps? zoBP@A1Hcvejia-bBTxTzCvUj%!*B2YPOlp6_9F0;` z)W&v7A#{f$dhAgzObM?%baw@Nw$ng8N7h6_{HLJwxbyD>PscI7l zv2v48xeiDJTam_;Cy}MG*`f&a*%Gn@@WuhPI>!KAb6Re>9eb3{D5^^j8NkDkU3085 zjIM*{pE9o^1AB1S=B#BIqKQrMeWO(C1i^$^v@(PaiNdGU$8^?Zi8+mydApf95JlQS z5)BY|FamFpAkqiS=3?tf-^Yb3#GT@+=A&1s@DipYq-+qr12 zBPc->eH+))Cr{1E18j-bB48(Z^I6{HJ8tI>g7){4_P2_T54zr;EW^LLCVw!Gy;2Qb z341fl&NXsdWWFi&$rT5zfm43}jimRDvOCV`W1|KJ#)iA0lva$sk(}ySSnXqOj&OEI zcv~ZawPE3M7bn@c7^|U%LG)-dE8fmc^a`Ux($KiVKPh*CX%G*yFR#D9RN^*#Zc?XIAc!xxg!4bz*ScN~Dt>#We8XX_+;alIMyheTxa zOtTi;sF-XJPk@YbEq+2*n$ZtDMZ2W-48D1r*s?-yi;~;bb0G3aIk>YJInhBv&v03E zm*2m8cJUl=#Si~_`SQo}t9Jk@vS)=I(t#u3irnR^PlYjGX0Kl5Zr`1~_;~U9my36Q zzWCukpARvbT3rOzB&*Ri7)>62GWCofYcFXG3y zk;9AN-f0X_`swZA^_!F1clq15=QnRJuHS_I?u!5O|2n&Sm%Dp+eD^MM_b!oI)^nNk zfmY#AgB8-6z;&f4-En$Pl-(0q>u}be)r?+n|wr?|A4>=7vLG8J?=1K;-Q8wSI+io?Tx7waN{lE+3 z=qtaw*%tDi_a{|4xg)jat+z=Rs0b zoe*BbgH`e%<=p8~-c&Jvs_+2~G2jXa;EGBWyhe?vQ=>p?bfX&Gq{6hQFs*8Iiy8%_ zS%qj+!5fsYI>k(-VzLCd5Avxea`0mrDgLuT6d-!)(5Xb+4Joz6Nq5r}~ zeZhr)#R7jxAO3cWZMID`=j~J$GEPixbA1T?qXa|8LqzuH`GKJ?W99TIp{et zg(zopRAPlzrB}%ma*049VDMQK77fd!VEIhCR3K8xv|6prX!RNG0hPriF`D^$9apR2 zs8t-5imTT0G=&XGg?e+r6=ti%WR)1LQiD}yuoea@^mdKjp)ZV1xB*dEOdhM*W3_l} z7Pr;nvRIsEi_K)V8ck*c@YiIuo1AX5*Q(WPq+AIX%Uyud@uMVUFBvgRMb0cBQ35hu z&6V1e7LUmhba`T7e>mv%121l`)8h+xd@-*t?K7MG3TA)@iBY?kFcoXiZ`1Gx3Dnal zwj_ZqPh+cBadj)C#`Hq#5~Cwd?FWVEO#HtO#@8cB}%b4;dblDQB6kx_Cp=y^>bF=`;FE(E=+YhK+ zD|n!5FuZ`6>w{5C=0x>WW4k!er%Ck5Lj6KdFWcTlwX|b_N1-1i8K)LaFphPW?}Q6| zGXnnr+tp0B)>914L`^$hK7f{s*Ymy zag;s|*T<(6!9K37iK1y`nENEbG2<%M6cgzzPPHg4Cub#)H-erI;*JmU_7Cc|kA}{l zZN0y_2Y<2;zBdfMQV!&W-8+o7B&lJU+PX>a+GiEUD=q}xcjC_YLbnLnGdApC@9-Wjpn#t;Nq@-eARYfq?kZpAoM+4Q}MDaG0eXS&a8_C~J^>i#a+h~qP zlCuu$ti`$ODgGu#q>Uf#lSM~$ktuToYK604LY~CS(=^>0$FVIA9*V;U!tg#nv`h2vpgcPh&K;QR5bwz`e3uKJQ-bRNW#3?X zmyO|gJQWU^Bre9BX{Jd7Zj?_o2q!?gxfTz;GePfLrFL(V+7Ix}Tg28CQd^YNu9*c< zhRbI=FLyZ{5#L?wQlKH9zBr9GxEf-ekC8+zgf$_ z-o1VYWas+r*5#}9v%BTo^?Lqh@A5_V?rr}0yYsuZ7dNjjuV07%=8A@Y|G%$*yYc*o z?CraQ>o>7@O2eX4`@( z_RG}5<(-Z9fBwtmn>Pn%r^`F*zO@y@Qc4_)%i{@6GNDf<43Ut*?=iS-Ity^>lWOH$ zlZz|QhX*GIhT%{ONK8b!{_3m zylCh|G@RiN?Q#a!nf>X-{y42aOzjI$2Ys{=&%(Hy4t6o1E*9L)#drh+kC@_@FNW0Y zs9q4ZsQgX~(9iM(Lcwq}5{(xoO%kbiA_d67>hY*;R+ZhRaM9X^lG>+yby zrx35#=lA*iet%);A{Y#Yg2BRvN&>+|Fq901Qocaa>W*n_VTsXrCkibUDl$A8(oNw{MD}9AEnKgb?gBJ;M!E5cal{RRlb*9P!uCh#* zTW5-G&?olUXHGRgMQHKigCY2av&Rv_t_bQ_K|#Y%1VY3PglwCETHBy#B}RfyeZbC*<*`#F1yjLecCJT*tHdmPeSz`_$=n0iUc5 zI+Pxp#Hi!Rq>Ee@nMRnOpJlR%N@b&9!_!*YYL2 z?Q2BGePriDM8_jU`$Kr!BUIP3`Q8%TU?pL=mNeE#oou7S23W{R9(In0NAU<)9*NAM z(pd{^<|3CtU!*Tk=rlZ?id&@2Gid}Nm#vg3bQ-fpZ`Yb!N|Q@su=2Eejz+`N=>!IY z&|nl93Zf7hEI`CYi^K%nbDPv?lN)RbgI#5?YYa}k(Pc7u%zzdwUYpftw|Rj$>>j(- zWwSc1R-4&kFs?0ImRpk@N-E{5EGmEeHtFk%fW8d{r9qO=|8z9QiDU zDNSH1mgcLMv31M9HE5xEnbDf0wMR)EAwpM}+8tW#2{5{ylvWeAUJ9$h4mJ0+bar(? z=^RsV`7CqyZ+n+-w@=Tvj*qqvv)g;eTf5n{z3j^V$@1aJ#!+@Bo83P-IXpf;I=sqc zt`Bk-d*^5I{R5Rhfs@(C>AG&58Z@V$Y%HgkIF$n#&&$V- zg?)RhwoO|72DNsBTvKobxq9nUfc82-3w$B#gsKf<)h4lelUTDws@vG0SHiV57)>2PQ%};=5VTbQ zlklc0qP>RVsiS!6i8c_{&^WJd!6@4?@;0ox3Ap$!28tGfpW~hX0b%+h)&gRB=HwBA zE`c*8=dCH2J~AwJwJjRDx%N?Y4C>yZdeTa#+h$jwft;u z{ngR_o44~Q*P%4w=GWTP#`-nlbs_F zcq5$m6l1HUcskhOAz`A28|YYcG*gX@R9gep+dvDpav}gK2DQm4V|3OQzt8Dn_P5}h@~!1CBAKQ_WijB=9W?4>DQYDS!# zmB+D~_@W^xvMlL*8?HnqzI7hj%sE&04NL3n(CVCXwM)M`WZZ^YGkDh-*?mHGA5c7- z97j-Q(i^l~BM)OFj2dT})YFYpa07o5q?v1R;5s9;-ZZ6agVer{Z`mTYEtA?~#C9zV zL>nrHb`+sUTS;>h>;;m`4UqipyNeee3SYc?m%Dxq zxZ?Qg&C&In?9IE}Ct94o`StMmPg~a?Qn^>YopVF#P!-)($M@CAjCJiaesp_q^FIIj zWB$#L`L`cWUVk`x@%G^6<>Bqi?DN<8mv1j#zP)_@=JMv%)%C0J-_~t5{`>!P_xhL1 zmp^51-tV2i3P<8928G-M;tkfBVXY~0Uy9ZbxFWj&xxo%CmuKv4`zW#hO^R<43a5L&?aVXlPq7xWOA(=k~91`jna6qUOrb?dgT+t=6jdhFS? zXZMWH?1wF=`}U6XKczyX&LL3st2aFFII}jws0-8Ug0y-c75<405VaAaH9_=d7rV#C z8#M`OW(nIW;{r+{pq2tUrOlw#>$D1uTBuYCG+MsF$g==Kn^Wxc%Ak~@a>bUWa! z19CdN?nHcUhu`7w+3Y@>!{>1M-JYNe3WHF@3XK`v5d#>|n>`w>O|8%>g%Syy!=+HE zSS)#TkcR4J4Y!B~EA{=k&fXNLFF8?EbFjcYkniZvvGrzHyECj^ndXixOJ|0qJK5Tk z1oYjv4WxiWX^Pedl#*M>)K6L-{Y8E1FDujkQ+M?p(onIS*P|jgtNP2-O0=uH_0kh?yq(4oM&j#5A00UvB78=NfMoN*1T5O~inJ7g@QjvjJ zq`~DYFgcRZOv!MXWbl!s@8QR#!R||Y?#X)Y%X%J2dmbjznB$!`WqK7lh> z^6607jp2%0Bb9fD%I^-8-t8;7J6M%6(vXR6Ex>n`k$dYHLv1|#fP{`$aOn~zjZdYp ziDW8{h{q7nqj>Zv27^XnF~dasD3yd^(MckqK&{s5jaIb*fRP~9T6k(bQ=wugm0X=p zWU)xCfY@vm87(41BH~1>5ahVH(Dt#f%?8uL z0a$HTtJQ3QU18KGS}Y7kz0ssKSqvt?Vgf;<6@YJRv^u3ur-9jFHo~uQ_*~v`e<(4)w3+W7F} z2~^e;E_a%eKf@@Tpd?N`0sKc-P%9x?rHfnw5)hh^JX~{OO<_rCX$Og^cTMcCoP1b5 ze73lExUjXcxW2Kt9A8+B&n|6DFDJ^>ENpDXb~e{{cGfo!;%g^sYsX88Nv0c)=~;@- zU5!&__lh4QrKw%=^g%-wd=}%6l}IDiGN@T$Yn7Q>#Kva6u8ylK=jaeDT^(C8#AUE~ z7&E_Tir;w1FFD{AZ*huOStYCN@^x-ioL?6g*2hJSaY@srv}p&v@R2ob3aeMyB@5Kt zd2;p~F>@A|{u3>TneZ021T2bq{Np83)(Rzik(fP?&zi$!E#h)xxcqf|;Rd;Ui(a=( zZ;_35HFx(vXhz@ZqTd*hd_Jtc)hD^z&As2jPU;li=~jHzqrTa%yfGyIbV&Laz2aYV zh6zd2}mg!N?-Lm604>ZmPw#CUI5`_+)*CQ5UYV7o>4e@5~DVif!nr0y>V^!a3a zzsQeQN3g~*G&s>`3^q%hWeiibz|m$H8}zQw{ZTc1x#QADt(-0G@P)MDxxC_)y5wsE z;;p6N9f)}EDtzxOdvC9O4>n)wYPO{%v+UeC7GjZEy3D9rW0Y?&N_Sv4;)-;GMbysX zj-KxPe%e>V+H{hogyU+E`YU;05lx>*P~;Ph1tfbR)mI@1)~m+a%oDv}5aou*A&-1{ z(s>*UUTx{u=UL(Kkl9%;v1C&;_t1(YoH~i9yH7Et(X2U4dm+nJLU)%@++`$3A;FZ3 zQ{~__`D8~CeXNK+l}{PVA_j6P-cqioPU>z^c{;Q{q#@L$i8PDHYuJ<3^vPPY{dYYL83~0A4@9ds``&-x*`{yrVRO}pI@0>i_J$(+}JiK~+ zboF}w{KfXk(~YCc_~GR`oTIDF)8{)EuXirqtUYRgS5c6Xvrj-yA1GY9)K zySq~xn-i<6+#su&c@#U#?J1>_V!vlK07xbj*PiI5D41MW{X~{)k^tl9!bR* zQPcW0SL0| zn5=14(Xy^=jjP(@>h`#*Ev{;fD_i1<=D55uE^Anq)~$KIzT~^Rz zcX|_jB!Mw^c-oUF5EkM4g-5xQUAcexh;wjK%&Jda~Jk&qZ+e}54$&uL(97L1Pl^3S!AUO4WUO{X4{OD-FHN-p9`8l<+OeNvn%+_c0O~EOGdM?1TGpULZcL;{mQ<2MN5{v@(W4%UkWS! zoLl*8X6+}G#@qPTN5eG_y9@3%rGD98TSOs3ua-)$W731mTepDYzK(;vK zGmFlxgV@!}7a#uSpMP>i!EXiQy!$>$@bH&Ep_hswShD7({Nes8!g6Wvyf z@2#bbbg~G;JUUUxriu9+sYsBBSSS$-MM9B)FXr*Ye7;a13>1}d7s5IC$Mu*mIfuaDs>(R|Ovs;(*+xrWfn~8e4%Nt9JoAb+?v$3t&wavMW_`=re z^7h8s&f(_H)0OqJ$n3f`Ji)a%yLp=2AzpG9JGqme+$nj`tG+j4zKeG~AUe{CraYn= zftMFzq(vx6?uaxMCA&K+e~b~-;3)${l#tTtWz=r75xeYy4R+xwt9X@Nw$81L^J~@x zwd=yVHBo(BT)!o*-;p$I@T+31V%QaPq^u}DV+NBN#U^O+lPmC#XK@+u7N*6=n_08? z>{(pyB0evM&yN!k+tkv1R#lwUpux0ub$6#V4c+Uc-{@C-Hf+2-s7daVrS(Z345;o5 z8g34oZld(JMm4uks+)uAFMHItdi3{(Y$+ITDn9TK4<+H9ck#BnSj%0E;Woy26L0&1 z=>CM@{tGPl%Mr_$SZe{z-oC?Fb&8Mazku-!b11||i7#{!tb zMqx~idm`(&Ry4d)SH9I3zcUxT0}9{Ui{9JI--C7UZLLrBb$jyi1zy1dr+AT7vBaod zrB`pzD|hJSQDV6pQ?44Wz@qzW@tjnOsZijo*Z8}E@h(%a(*Sj7TrCQ3gE&wtinMDc z`+*rWG>i97kV8S%q+hi*<2YG|E_ReFOC)HlTkWY4IP$2#Bb+&fU`{4lQplDxiuEzY znnSfAD2`&Xr-bZAP{2HzIhSV1r@IR1;R5PdJ~^02^cGP)H9V+I4t1)%9U5Po#^0z6 zR*54;yoqA=SOqIs%kmB=f&%xnb76U6ePwBLX>)u2_;CID{OIlTXRlveUOqcKd>RjL z$3&A$UDo+l<6@gW)~1d3=@!uXajF4g$z(h>MntHSqN)@F6{_x1X=kyZ1Ho?3llCGE zBP9-8c>r57g(+G@BW5v0Q`nLqHsK0-L+U`;gOP>;Tz3N`*B{ATa` z<@O2$Po8a`zt}o|89#fm`sBsp z;nS(Dv(Vb1Z)HEQb`*-AOeNMvzuLQaescZt$@AA|FW;QLe0}`v#lh9H{mbivi>C({ z*9YfM4^FQRo?ITBTzdZ}S6sgQ0J|c7a6KD8cDuZC3YJ)%$#2XA21=%=4O5Kz2))`* zFAq{H!{q95Vx4oiQr%U=X~<>t)===h1Rh!Iu}y5okKg}x@$}payCNJmPEJ^7XY5OJ z(CTtAScq>=FRw*r zmjY9BP-NQSk64^8y~U)~D>YiFRwdNRxjG3=FC-XvXbX4P#u;$1dR)vdh|%t6v;>*W z5oXgkv+>7FFdHUWjZ^H#8E)eouVGP8za*?*64b$2fz=_XT@}=<32Neknhim9B7FF= zqH3L6vBoZsG0T={C3BRb84_X=pFf7p3uAHvm_jeE!i}$U;p?4*1_zD5sCVFD@HSQ(Eb6VRn1wphZK$t4PvQmxVH4Hk>V4#EboyX+2U;;-8cBg*6T zLB5bLFy;?U_(N0v@U%ZX;}6aFLNngrG~}Ozd=n5f4td5PcLa|2<4{kpE97+e0lUXy zciS8ur_%%f?mX_G2Y#Ao((9S>yQh85Nw+<02Yd#TQ=&05|o7`;BP<8A<)ljXpE=%4ByCOx|`9R$AfK&I7TA9qKOJ+5ta5^5z zh8`P8Id)Egm5DIZ3Jv5U1EuiC=*b8@sX#|4&=LzY!~!)jUyaXEVIHeS(^MmmRKv-t z!H0@J>f$3U?uxqa3Xw@d%dWc5F8P#E z@foG=7NO5P1ho}<>ns9>tpT)jbHwur1&;U8TghEbsfWLiLxK!rnNbn4A+lhtdn`T)QW z+WZdC2geC|9X5|W;R*+6gZ*HG*#H0*D`19Wvs*!@9sbd) zsP|#8_feoPZEWQ6G$AWW&7Gzcj+4tHq?#b9#z(1zD78LXwVzRGCzmn0i(1R_s!FSI z1fkxx5MFpXx$-0$-<#jqT3p*&Ufx<++FDxKURd3pU*DXKug+{P%x$f%?j7$Oy;<70 zvWFMhdRs3?R)*u=M^bLKQ|`30?so`pcga5OR{s)d_;t7DvrgIV4*tDX&Vy!FN(1w5 zBm2`9{x8~vpLen|dI^<-gZR-lE1`0op1Z}&jk5~YSVe2>(sgcmoL9BRuU_R>ufWF~ zVa{r=E`6SuIrm3bz=5$bgGrmgW=3&2v$*_4 zd_jzmA14*;(u+^H<$K&}Gp@0}yDht+?_mf1%RcpIBVf{qIb&FtGonpFn{H!mU*N!7 zcJTN%4M3b>AjC?-Ri!yzM5=_9@2pR~Yb9 zy!~^c<380<$gsDt!B)1do@p(oSqe$;1->B@t;;1^OE^%Ce4b^L=9JV! zdHP31(j9$M%tJ|g3 zEK_PG$u$tMhDRGgvV{c#uvY8qa*U(Gv$)7CX*^0Di()*{e#>;1ZW?8qBm0*)6Dyp_ zS?=_>a6Y8noU=dKbe`>t=2u3+iDrqflH)C)LRmyl2GNyHvZs-OG?FEaV9X$xa)}^< z=qaLj5ll}3*O>>01?A8Jx#U0r$%`PmDyZ&eKGdu9_iB9Y>O_Y~h0I$h4rK|)bNQhX zp1Yc7#aST7^6cT8y;r|Ic=zqrZ{Mx{?fad7_;CKu-@o}UKfL<;-(UUy?@x|i?|V15 z=z+BnaJADAtCPjrq?3bEH$kFfa_9m|j{;LFA1;;kS4fdn!me^|M-i(%U)+Px3>5*G z5(r&1K3X`BDwr89oWzs_F(o==F0&zZsQe+SJ|EjrOB)@uT1<;un`iI8J9_cW?%9j2 zgezVo24`Nr-iLGXYX9;T?1}^}&YtZ&d74<&^yKOGlf^gq%$gv*JVdDo6DuRw zYTH1Wyd6QS&8GL)GiW0W72gnWM>gYIuiwrbKXJ!awc`_(nQ7Fv$Az1_uw!>zjia4iolUudLtKQ~SZS$&k z5)herUg;B9cE1#p3&5%o{No7;y%1KJ~1gUbIP(Fq)jo?Z`n34dd*oQ9h zpv#=-au8Dm;OflyMgzW8jqi{Vy5!`38D&I9!>ZU6EuUqO2#s=?F){z&WH!LS2W?iT z9rU_fArCa}^H2Fh(O_ggG`0|$SPYLZhTx3Nhaz*K&}=w39STf^{8M4yM9@11K|zPd zYjbC9{qV!{%_iL3xR1Vxz^e0Js?@D^^h>^EN$UCAQIJd<;cO*Txr9EFsk+-B>UrM`f$hvOI zyKc$4ZVS6^b35;HJCa20Nz%5v(ze@z_OE_+1<31m@i7i24I~Qzy2dK7Srk6C$i}D1 z$)j{~7m`+6$VA*?6n{>sxk+sK3fp*Vr1C~@(P!AUd@gNBYtSSnM!@HLja4R+GwAeD z%&fC*UGtcidYo84k}*_>XNC+Kwtd@jiA zaCsA58}5L|6LP!%*o)`!I3TyfmzdWC1t5RO=k&()d^X5$1p;QZ zPmF>{CGP&4zP{VR-n(Jsy&&>|zdPB7d=wr^o5DSwrR2;|is0|yIJquFuJ@AaJ>&*I zy*|vYgXq<~-r}yxoZ8Y-ESjOzjeEw9!gB}F^}WTd-R1S2*vd|9d1ocIv$VFmkXT+Y zHnlM~v$edmcN{!5lN#oYYWnR;+P!k>%}U0vYq@{YApB(u>vjhr8#&lF)TY5!E>m;j^qh5O{u--r zja|IXDN9_fa4TZmie+xaDt!GSsNNFQ!roY6esl#Pa~hL6KKyWM^idR>Hiu6%Q_OzM z3^pCc#w6;|6#DTrHaChxEPQmu1}Xo5S$NJbJ`t4L@in8}jfD-}sU7rNeY(#^JP$@4 zIT!$ev!)Wjn`GCg6!$H%{XWr}innBAYzUOIaM+zS;!Z(%?qWPQNZ!Aq`+mdp-lBUR z(p(Qoj;}DbPlnB(psZgK9CsN|8q0%V+G`k=YKpN4ug^wlGln&3L)z3K?PIh#kK!!m z1e%3@l*GlA+sq2pgq*c48$DAXU#gqF)m46LD0^=zeQPdxXQ_N|ZTL3fipE1_^{S|J zg;%-6u3Mlt$7oF(w8mX(eVkUm%&4Db)@!(B=AVPK8~E%C-<^4T@n{JeB=QnoUt+g<=pHm%2doavQ5<3tVDU&ag;Qp0(qa1Pm* zMRq?XgXu)eBb+`JtIxvQ@`+F()sNu#3q-zru{Ve7&7yg;$xs2wRYG*s(46f8&!Eyj zp!T;aph~H`Pz+^>1CPXG8KM9}1Xc;PRF7l&c;R>da{6!o{o?=mx5Iz`m#u&Qr-Oh0 zhs*!|hp+$rpT7Pd|Mv3#{U6Uh{N4H5#gS=#hv|*?8&;|W^G#fTAKQp$@|je$7~i59 zEl>>?%lfNCJ@x$VDo$q!v!g(WL?{Oeji@5$2qHXO5FO5+Mj?5weGQ`Ez3Dt zKF4X9}l-udgb(b`Sg0} z^x5*+iaxVUAUj~k;g?@^wOno8@}CvZ-xkU0b*sCSQa6cjT1^INu{t8 z=BQ;$wDK6EBF?PbWL0gktG79DYPPwxJG{CrZrui_cAZ_j%Bo#v)GX4gmuOYXw2Bz5 ze3??bL_{p$a_2BvQB=nCaO&hx+W264WFS2__}D*~1r6qa19_(Y0!<%6)nBR@sFDuW zD@NN?c%+6rq+t*>9F9gH(}|S^sm7!*ShQA~$!WLwT+R>#P51*df$$tmi}1u!BI9rt zBV+TC$ZRA$6A4Yj2?Zy8{)o#LaCj3V>^)8wWOqSUC{ZuN==U1~L1Q3f2?oJnz@3;q zVhe}$6Jx5NR|XhFN}+;{x8k~ey_Np1A`cQ_?=7(P=Gb~413ixbWQMIf$JSj4BJ=Eh z>Gpy9_Q8kXV5)8Kv8eIkNZyy#w|`xi`d6*RU-UHJq2MZ&GQ7uQ24qalXuGgFOVW^` zXiL)|AIUq?ge~cuh74{?I8WLUaBDa_urND-VyhF^>ZXWx1_yrzLX-r zkamA2@A^#L@wvYJhPLfXN$X8c>sRd7+rri)dE0$?`+ZTzou6Id&WwLR2v|J|(L_?cb2S;z7UViuX^$$P%=!%ito1+C^VhX>+7k`N>y@@Nk zg|GMuTk{apkb!B*C-yfo@WWgdlPeJMq#C};!iSlov%(CJS#4?uXmHz2E{E0Ov^m^% zH{^hP@UPzNaB8i9!f2A}4MMG+uh9u~dV$_3G??HmUuWRyjC^>7<44IzK@L+ZoAD10`?zWktkYg2kZ{O?gZff zg$w@Z1w1aV$L@05>`u_(ak_mTZ^-QpxV%0mj1B0cD@^}(sjT2R8-7Y_j7RV9w zyCOmNc);oNfgl9vJTi=nUhW*Z4GrE2^d&`*Nx|;>zU~L!?&Q!=>LfN}mXtk1E}EuP zO;8#`O=cXRG=ZF+YtxU%7#+EzFg&|-THnxEB8x!*zkqLqH5jg!t40o`W`vh|aL7z|5l#V+vW7OBPg6XlUxNf!4B2FN!k| z>rBKN3$ey7T;r6ibIaDaWic2MFfjO48^Rjc6>(n0Dyw*jmOn?#g7Gjm^k5Q|4DZ0S zh+@;D*o-LdF}$6@q|cz?ZPqjIz!704%>3W&yBoH-k9$r?339yMi* z8Z)t$9FjAi=B;9SI$3r!+al&E+(K4Nfoa}RfxIpzs9NUMFSA>gnH{T)7T6Wrl-hWrpm)_Gy-Gvv8=%ngD5@$c*lvvshZfPH zIb3Ll7@S1ACx?K^e&ZwtoTfujet1?iH6@)NS1gaK*P`0ZMdjKu$v@Sh@|QDQ#Z(vx zfm~uRhvdzsxUwnsEDDfCwq%nn1+a*yz7l${kmJu6dUJ(PHV4Y0L%CE>A=Onzan{fs zO&n*ZAh9M$oxokncjpUynZi)2c=EA0RG6s2Wgt5pq3zk%zdQK*e>(Z+e>(WL|6}*R z{_Wl$-W~k*+0oy8ee#b#oc`;-TzvmGrzg)2quV>?@im%hu8lK}WPqa#Ih8@@QHJG& zRz0RnH&UtYuTk_gNRZWn?oxIaLWnGo_vUK`@@)fo{{Gyl{+!9-f(cA<1XpJ1FA%h5 z;%icIjRn}&DpG%!S+7}GUpssI{`kc=`~DMUp%>d zaeDRg?E3ZD^(%Piq%fb zW`Pe-!~uF;nyfw3g)WEle(fXI1IK zkY{CS=J<(!bIZ1{q?v$SG3Q-g8jr6=)>gu+%b^&&4}Xid<_`ClPL5+|XX_W2u_xz? zM^EPVkE44>)4PXLJBQP|$I<;K(f!kzy(d#UClg!8kNF_JBIKRpBy8oH~I+&2cE`ZVAyNL_@q` zh|}+3At7d$m)_>1wglh<6sayktR5p&j^QiDab=VEvMGG&46zJOlvFlLDvy%NXGrDK z#PV5E=_0u#Mk$Js5i6vEWn%sUA#VzjalrGG8 z!a}A2$ShlT0f@}8_oX=o?t=plfc{iVUk1Pa!C=l86}Ns>pZ;lg_1)3FbUv%YVit~1 zMmz?EfiNJd&6PG}D%#Rj-H)X0kN8cGn02Y_rc`cw8XuXaKxG*y`5>>z!YVS-inXL- z9l1zHF4U6?w8T6$Ay-AnQ4tU-Vu^}arY4lAafOL_BA8qqI$JlIsY9h}hEr8TDT;xI zvcCJ0o_pd%lEjHY7l{@O3Gyp(_m|?%FQo0CD_U=;n{KL_Zb@2h^V;ul+wY3nlVt4) zS4cXOes+ZoSLh^Ey9sR&q2J49c(q2acgpIXlNzTe(lH7PVBrM9eiWy(iPD^psZByv zelcA3mxD$B8QYf3Ahn4#T$N63)LKD}S1&V*1ri36VgL*i%X9lLuTI~-x&H3Mo8SG^ zUV$sRhcCWMD7ix_y+f);rF@xUMEZr z59|+@!v(=lP4v^bf^J99We@sX;Se-7=9>t50$!)n1)7{nf`eUc$0m73k^=p(EA9rm z?|HlLd%7P42R|0bB4*8yie{)aQ`F`VxfvogxkycZT62Wm5@giN2MW=(sa@rd(Y^g_ zhDK|Q1}3)F_O1@$i?#i$t@Y#emHpW2{&IYOX?uV9Xm90mZ}MQnJT=cYg$KE|TC6;? zlXkC({8cmSMvL%vyZlkFI&VZ@Ot6%&9Ay%yR_$xkL%k+w6oAM!FUR2{g1#P$zsBUR z(K{N{hBl>~BB5D$eM`)$bw=qLvv7@7u*OELaf;SCC2O40RZiI|r+l4XwJEIG7T0a? zE7#biF*;(Nm<@9xGI)P{_~9ffWo9&W8l5%`a{>#yB2jg74wD_l1OD5Wr ziMC{dIR$4(#ThfOKsL^qgLP)(Y}q&q43#W`Ba`SZgs<)iKpWmjrpk;QW>kdPk@Z|D zo8GI-KIqCn7^^;5>%Ozrf0uAY^R=#NU)q>J1*av(?u@Z}*O~2cTH^+}Do(Cgrkj`=QNqRZs()H}O$P`5UK)P{$QVLT9~yTZJ1SUMX~E|1F> zCnO6K+^KPt&EF()6q5l2(V0hpa`3(!B9u#UfI22v!E_d~+_{{UWAfAITncV3^bAI2BY_gCM&-2VF?PJZ{>h(R1N@TSdS;p%w6n5uJkhzMUY%?;;jm#WF zW{wZ#Phd(Wh?U?_k+d_H((stnjKH;45PRB9TIE74cJ}qVL{GRaB;8%IS{_e-) zD&k-N@0Z{G-SN}6^YJ5hWX_<`Nbo((`bUcP3=g_=f!(siYhK_t%=7D}nThuQ$Y>eR zS0ZXh;Oq0r!);7HiD%QOgKltcCcL@jUWu8bbL#O)V0PZSyfU$|F&>XkY^;xO#HV+* z=Z+4RPM<8FovxmruU%X$9iK$^_9r&CBJ1%`Y%Q>|8eCluuf-#4o8h&M@M=7=x-l8w zncX@_taZL~vatJPVgGFT=wjvMYW4IwcJ?fG25+A(Ke<>uIh{W|n%&=v?rcqOu1~Bj zMV6z%xe4!d$TjA1_&|rmzLdHtyWC@EQ;qzr;iCnHysSR2^d_r+pKo8*XgPw@f3yWgf z?~4X~QNM4}>x)4C2oxCihNc6dnMi16DioawOig&hV;{S<-CnQN>oYiPO08VNrz^?B z){#bU7sB6>?Lp=^`*OhkETAvV(vxgSG+8{hb?1S|EPG$7V<0iU!rJ@D(38%ox!0HV zdFjnxHe}uyXnI7&6{+NC2r@6O#KU%*g@zT^A*7Aj^44@^XNtHrh0~Bst4?7wrf}L* zVOOXy*%n5TTTL>+jVv!tQD#et`F{N^Jk#e*^ zJzAh0&C{cD^{8y^NTy~uLp7MD=zk>bO_uZ~i+dj?(sN&oyeICyE9(48&~Zc5dPCZH zQ&D?MUVB^Ie3##OkKc7q+<8ydabFIn>)wC(<2+L>GRf4N3=CyE(M1ruJ7D5R#{KT` zsKx`IZkE~VS)nwf5IO`z4!Ns!sNzw7(HH%QU-jqx$!OCp626+LB#X6Dy$-PJ#>{G$ zO0E@(xuC~6w;4Zq`}XqN-@f?nhp)f?!;h{Yl_!(RACk%+kSZQfY93J=GUzQijLs59 zUmbI#gGa`Qd0d%7!7wxqZt;3$^uFZ z7QR}~QfL@*6;&pu$rT)}PGmOAY&IDH%B`T(Y!e$S0*z6iHA;+D1>n$tZoLgM0e%Y* zumS-9NQeRs__Hf)Fe-c?0D)GQ&FV~`!uqkH!UlhjK&KOQx$Pf&-JEV13m%ul=>Tk? z$zrvFcK88zAmB+flKI?0ugmwbfSc3pbb4LRfX5l}I3jL1_K43t7V?gd2PcBQpvU6| zomNmw26=TL@u6q*eqbPJtQ&Sk64ZUqjl3TmNS+u?jp83iNkvg=?KHhDOlk2Do1Mfa zAFXAK-5O*xsRt3H`iK1$$(XKo3SJObCSzq2?T{~FWI9l30 zS~@veygCf*t_wZkE~dVCK$y|Nyi-T~vX*kIiFdn0ncSz(9W_^wY>ix3r#jFNj-!23 zr0_IzYFZSX(ag_U7w6P-vy7>k!N_#4Kiunf_u8yT+RY6 zcNUvJjVYMK6hzTk^XSwS%)=eZqce8;DKBe`R4g5;8S3h+Mba{R_4oRH86(~ToHw87 zxkGaP?_}^#$-w7CFr8p8!Z}JX&Qi3i2<^(kI#Tf9ExhF~FuFe-mH!z^_616nI;zh@ znGhqE;$dsy2#|xerQ>YLIO{#E={8!QgfTtB+OzTATmqB_pRb8P4iU)0+cR*^Y&2Mi zvQ!KkhHz3DgBcNG4r@I)lZOfU#ZzI`(wJm6#Gmxj{Lp~GUdOc*5{&tH09H^I)}2jsbSa!R+B*k;Bxm{ASpfd*4gg9ceGLzW4U zuq*OJo!OF(41Gt2qa!`onK3qyH;FBsCRaO0OO-tZ%$6KVOCi3coY383RLkdAmQUZj zeex2v#Ji)X?~kwFpFB&r;^68HEQ&<+s)Q?E9bUfrnHIaJPq$AlVOs1wx!OCshVMDJ zcz$>Z>*D#|`Lpe_r@Lp@@bgcfzCC~T?))0g+q0+NoL;>-xp;MS{_^nrry)htk?uv8EV7$d_$|wV#zkTM9IJYY zR53PM3iKC?ItpCl@bZ>8LBOX{;@h&a8=jU8=v!3~R@8Y6=Y00+;XEC_6 zJhQ$L+uq;WKiN7w-8wqoesZ~c@qGXK&B4oe2d}?9_~ygG+u!cJ{jl@)!`3(7ZhZZ2 z{p)XHuU;)ZyPmr|pL%i>+28SPt+|&MT~pHzf7s@P%z#aAFlbeBwV0>mP~}vN4BszB zwMz#ZrG3>>WT~RNNR2GiAqz~s2%x{vK3L=&E_RO;L!%{Obm25MZwa5hM9f_#=P%O= z7idLuwBi|B$qc=GhEW-1R!3Piv#i=VR^1%4W{zGxN2`pI%ccoMQ#hEKx#Oc*5maVq zC_6Ba=j|(S_2h%dd~;X6uB$-ViI8*_3A@XA$ZAes1ADNIh3a8qhu9=6mrfOMIAW1l zu28A92AvTwTH&Lx*XaoRoKpe!w9h^6@q}F7pgS<;iA?#%XTsyrsj=uxcxuug9&>wx ziP9Gy5Q0oLK%{gxGCjyF=fKCJSbeGH-iPKylSKy5odY5>?R}4& z30FKYAyc%SX^hGwWX5O3H~w>D&dt%zY(A^rVrGs{1~zujr+p!iMU^xZOPg|Ktr?2W z6k$s;tNtOS>H(u6nce<~-;<`s<=Hr;K1D4gt#^wWU4mw(pwTI)ckpX$+)4|p)W|5- zkW1zGGBLVbI$A126)R9h>d`{oD8hh77)JB;qq#a%j%GMZHTYODkS^;_m-MGe`cfsm zDH3F|q&qP{fNKn&;4IU z8ot0{N=UL1o?4*R0ia>Zst*`+R<%a%jRa$R2bbUd?)it`zxwcpZ$A7qZWCAe09%<1 z2UGco)R4>QDC71w@KGHC+<=gR6|ra{K2Ic(38YG{OwE<+C3-+@^%xxioek1hTq+}| zGFnvzqtc*P7>sg*MQX5$^cKF>%+(m#8a+#+g~QY9MP`%4Vv$+^xfzt3?J}cHW=KS7 z`G^WTWCDFwThL|;0zl9P$NG~iK)??t;R@iRD*!i`aK%sU6`&2Yg9%zV9CoM6?s7U{ zE_fU+m)&W%J8X742;b%PI0If+(C7N-3Xk9K^#**NklzytxFy7vVVYd%PyhbwHerSCudf^#Y(p#8`zfR&k77662JwaVt0Y)my@ZD>h(eFpHPSc~MNp_%Mu$l*CYq(KHwp zGuX#7xXdUvYYv+;hs}**^QL}u1tx0&le&t1utQEcVWpjLGABuex{)eUPkVb0sh~%d z((B9`@gVR%1lgZV@q9{k{5ci8Nwz;E+8^T`nOJ8g8jkBR&Y3}QJR*X3@un}Z+AlDg zJ7`@p+K`SmXQ6>SG?<66=Oz?ke~h!IVr>sGKr#kQgI|t=vheO40+>rO=a4MfL|Z1o znS*m6Ft!qur5CRhGTB}sHYV@AP&a;WDE*zO{CDQ+zqZzWZ>{^SweEwp_JzLgNM5%l zsE_d)W89V)rz6H}iqWcLq|$Xt@fNLUhhAtx)eLsFXVwko^s);`#v);;OysQ+IctTs zI-#Rp;BFLpTg9F(nY&-@#)DpVC@7f;iKhd?2_HM?L7Bl8k+F=bLy(MFI7>PfNXJ{# zh}H~>HHQWun6?s@y^P_kqHcDR7{MIRXHVyH=L-3=Rl?~e(ZsN3nrC0IhGUZ}n|n|8-@H5d=H1E57spS}4&OXG z`RjKV|K*40|M>mI58oVrc)q=}G~+Vb={N};L*o%pQc94G0ppn|I?AtgZXu ztgZ*w;?r9@%ex2b2ghss$E$lsaMlh^){jo($LH~r^NlAL8>g3XIA?GY12)z#o~~b9 zt({-4o?R@ToX#B_P4Dc%ycv&ej4iH(qf3E_C=?!dd;LzQ!)`U(3>uq83dng@3BxKR zTljb@7j0#a0IWfP(PyRgSg2iQa)*i7W+b!%xLP-+G%%VMMCS*w1tB~lh|Tw7^B_zv zybag(@;nCdSXucm+;2kM& z4;9!43xGj{X#k-gDAW#?s0PavLzU9uS_!H_G}pW8TBTc2|gFtpv2+}PQTX$L5WIUE|<^i2nGO;%V^N3 z#T*@N6hO6jIuYKEYRed?0M|yPjwGHwDl(&yHiwc zsnqhjo$0?RyzytvdAIO=g$fDM>5|RN&1@gNiUy|aY?h>-hg&A#J=RZ@H=N{7T<*$B4-^b80P` zA*+Q6*i@j?*=8J@nc6xydHMctUVr$zH{bumH-G(4Ke}SH`u<3D@^ICop{fi*YbmS0Re~Ru zQ3(n*LnRPM1p=Xf&*KY(Qkg`hR_IN7s{?TQ9nctH4;ajlM(0$+(nz>MC)4RA8lzBS z7U--3Js>dH_y#NAWZ|0N~FR-zXNyw62=>4rXJg;77Os*#d^Wn>AOirh;>P>c?#jdv`Yq;60ASz5Q ztI=aKdF>Xj!|HW7JzlSSVZjyfIfFiXIADt|Si>IclEdP&CHvewMwd(Hbf|4Mg~g~= zjR4{fBM;@EK<0agRSaQf2lMkf+WjV8O4~$6-z1toQ!SFVDbxcx6WQuwc@}v7;8=8-A71AABh0xF z(-B~seLVdX!^>SyO%vv*R>K9J&xl}#5%|odPF^bpO2r#Q`WP*)Ka0(LK z!UV5mZKQ0IU%5SAz0FU$VvARtpd-V?TtE1hhcg4ej(`xMArdr9%mZB!#>0ZiVOEq6 zj|$_VaeT%GG3kmEPUbNW5~QJY!)5%wrrvI1ahE8&3xEw;&}3IW!<)l$rm(G_vP}2r zru$T53dxv4G^OB8kMZVgk_Aq&AZZpDRi8`IWRcZr$ps_o#{_LA(U40r=aDT4k{Ly^ zAc&Scf+YuU%l;UG4MH?Q$pDO|fYDSisxFUef>X>$qB$RDY^TV0+)>j6ae2D?O40Bh zDE>WA@*XJvK?~BN@>^X6m^)?Vg`{#@Sh+D#mEhOJd3AAiRh(H8rxk24^LN<=N8AEE zt{mT9kFM%~w^MVmQ#o`Kif1kxv(yT$)#KL65nBbzn1-Rc}$NTNdI zbBxbhNjhD}l%kS5TfmU!lH?h9MJhq@h^R=VD066PI8$4|0*V;AQi`FJVk~BwiZ~WD z*NWs?U>tKU%bd$F<}CFL3qI~ zlaCJ5N3mETp>u{(H%+OYB$tbb;AK?F)Iia6cj0tb!DI(o)P@qa!i3EbVN<58DMR0s z?r6^N_Q3r3!X-wf1z#fTMe|z`td^uJD4q4{S#i=8Z{A+qeRclwo3op5PhWhM90z&! z_W0v^kSEDO5D*Ec&t89UMRJzK$<^)Y_3hcymmdS3gE{$G7dJ=AL6DcH&)%HB`11V4 zSLe^aI)C=%+0%EYS4mfV*mC{u;K|GVtCxG%ce~ej+gG>7yLUg=#ro%edG_|Zy|ZU? zODi(93H+^?#y3y5W$SvN^W@URXmfnDA;PWnvy1%nVjrn!5nrV3D;#Sp7y?~E>K>Dh z&-(0!n9sWrj~?uX_V@gI`|~?{zO7yV=Jpaui?xl#)wTJ=s%K@zxg58FeuzX2p%AbX z)C2N=QS9&}aeNxzKaB0{MYp!2 zn_ICBFq^UUjpeoV`1;1m#%5x3dv$AXefMzl;CSo!Z0GcH@9cW_?0WO~a`oUMv44@= zne^x?esB@pISy{_2NIjU*vdjMJn!?*FU-w(on9Asb!GI}0hdK(*UPNhX`@`Aof%Px zn6qP)NiJT<9GW7xOL5ie{(Mb8S~G~!4k5MuFimfcsyhp8kxl*CwxMkIFk}Ij8zd%I znny{9Wil#CMuo|!AQ>4TAr^^<1tM~ugq$OzJY=++gmw{8b^^*qKwAiC6CQ2A=L7fx z&2WJdTPPnYnjI*b=`EVADX;y9Hu z&gPDf3WS2`=}Co53aFF@07%ZcGuq5X4|th4Z}hkTomx39RCCD&T)VZc(AEmKbmy4{ zpoRem(3hqD=n71ht_x!5$uak5+Og?|z6?c2#$;nArRZL3=D$b%_J3_ce@@4isT4T3 zM;%*TJGlHhG8Z$A@I`gSq6Xw-D|EUuOOPyFnZ>Hjx2x3Ia-oM@ex=DHb6egw6KnNqQmEJ=v4p*@B*2eh+-K7dFzD!|P8Q?N9Ed zF7CXatm)nI-?*Y7RowJwvh~4q+vii=DWai_aZ=taugWYL@S8^CA^Ya>;o-aAuRZ^9 zaqHH&a43;kcoZVO9)WK|5pmUIUMEM$n3z>a)C)?(oX+a7xXj^r?D+J_yLUgn`}&V> zzyJF;?|-geF;JD#U!C4x4e6^vP`c{*gdqu!C!G+=Cnd^R<;;{sAP|m@@r9G(8JSd} zRqKpqtIh3nE}D&VTD40qwaVoBSq10{saPfl|5Cn0H6{bbmBtB;S)erv0E0jW2(+3B zl~SNoidEWam0?zGmTPS)okOj6X^bw7*#(&0dXv{=nll^cje4))S63wC1oNvajD}x} zVwsb5v64x4TqNgj>J28H(F&Ly8jC}3b6ApdGLsV}Ja&WEYV_L7pesC1muGIl6Ik*@ zgRWS}u^hI={kG_wE$FoQE%rIR!=-Url@6QSZlATqN@Fp$ zy^ll?$W(5B{BYy=W_kT27+POiS_4nkk8hXuu4d=LLsE4Gb1b)?`Dq>TH&x`%nnoUV zP3ID1WqetiQZ`^#lbjazym!R!9}9*iBC*k>D8m~hTKza+9w&F>rtEzpTdUAsBXE=p z>?Hzgp}^EKGDD#=B={~fvCc;;S!cn)tg;X*Oymj+o!}HEEBGZVWtDI7tF}f#SCnn@ zN>-WRrv!BA=V=u=A5jq|=S8USFbNhWOKfgwol;27E8Js&h2AQw|?Aph+$?b3Tvd%3|A6+2#if(`Pi}@5sjA5lx@qP51HU zOp+BzO;&FxrYEadqiMPvGVq9~eL&Qul8u>EOD@$4r&!S>3z}#}5F9YP3yOC^@D7j` zIYd(~S)2FK6?6awHo@S7N#Mh5O;iYzP8(CwbcRBgTBLx;hDZR70vbrh14G-y` zNF@OdnJanb_Gt@NYh&2#T$g>^Ya8=e$a(-XBd_I4 zidd3dvLp>Z`v@<6K#-;o0e&5~erQzWw;+ z+4WbqKm6&tzx?0-@c;hh@BhpH^@soRpTGa7AMW1Yp1eI=-I=#Lr$vGxtYENX8rL8r zl~0pOg{0z9QsEdbUoe0Y^&rJvNO3!IvIQw_&J#6diyG5qjp@3^G<##3ryJ@6UBRrh z5=!KK`Qz;fc56PRxtP*fr=Ar>6U#|gy!!Iu?%VU*@6T?&J_B9x^bKf<Tc)i<<`~9jmsO|?Jsq_|M|~P-+a4seC72;Br;%< z$C|-6OFMFm{qRL<`RZ5;=!y`hVu4<;Kq*)x75ebS+PUs;MR2cywY zI1&nl!{8s`NHiQ=V_fC(Go}3(CA0A!rA71SpKixaO-M@ald;NOr z;&%P?+3L}gmA%v0_CaiOH@dzRUE7GPu0~c9;Y55X7V(7w^S*fp_z7vzD*=T>J|mhI z@&zLkT#}gDEy2}GhN~pQ6_Vl7>4E&oZkVtmYo;qp(VeO7%{29AItH`mhO&LbkR=>6 zd7(jo2MBOK0kKFx&J&Px#3U-_sHizQ%1c9esVL8fxIe^6LE6bkD-mJB!SzEhO+QqL zfk@l4W|}jm8q>w~X~No6VNI&AI(4Epi{FgqbyRUMjqI*QR%as%)5`4cWe($5Bs!15 zf)p~v{z^l`b))~j@ zO%ruyL7hcdYZ2CfcLDrL^+<(=SFYui0o+nOx5UUTHvgOw6Q{($D%LTIw6sDswNObe zP!J0g_7C+^2cp(Tzs}nf zHD-yLGK9^Kgw6NHnm^?>{|&wQuZ2U8&HR#>wr3|KIk{N7{^|Y65C3`n)jtL<{?X(+ zo)jsloy}xSEd}35Wwo*=sC|8-@JbR%Jd zgLRPM<^p0z4F}gJVzcFwQiVjRlmSYmQ6|?&X5~|onQ6)N%M`ow zTD4Olw@KxCi9#`@kci~637L{F)$-+fzS1b@nB*F( zO6$-7E-m;ZdY9JV1fw^&jRvpDF!#X~?*GOWAICwG71)dhr^)Cr8tewWO|Sb<$~zgO z4lsVyg;8g=0yd}C={CAOcCXjF;GUbad);P_BRLe}a#|cNhjY&B@Gm;TK6}Jxi}f8?zeCsV}u#~(mbM~h%2j`oNbv^ zw9gv4q)v>~4W>)#YMZe)PMT|k`Wn8rj-#%pD{83fQmP*Pp&E83#q^M3$S2KU@T}3{ zJ~gpvo>sQOMr^QQt4w&Dfrv9vEA0FgPSNTIS|qm);gxOjNG=Pe8)=CH`6;oSIe#wPyp4khz|nY+&c(NgH6mKzB5 z%z?g!E_zH(nE+wD8UNDJ7IV?l;FxCIw2%m9>oZw0&uDh z{Bao7l1H}Z5*-k{tD3AMGR4wSdO$RAA#M4Cw){`plK1M8Z=AaKo@?E6T@!o1oOJhSnxs)=47xAFsgaxW}yi)V;GPda2g{4F!sxI?US0?F;y{J1*a&p2+B;N zI+Lu;AOqQCErg`aBWaN&T>;5ZNHXS=4JfJsNi)D{Mi|`;rCT6$OAgHfVc6hoSN@2% zXmq}0biORPo9bfCXrP`SY8sEV2-ey~+ik*~mWl1Av8`d{&a`jeb9lV<;_AhhFaPj| zum1jzU;X{>-~IjjSKr>AJ>Ok9@VkRLg>ix_!uL<&+GdIMDsqK{Tp}bD@JOf;Jd!_z z9PdL;bRk4-@X5x!sYb|TQ`Tf-x}q^%|KGWy!b&KX_o2r-;OsUurKO0{S*!YQTyg#~ z>5B84Z_YmqTbw_8bN2K#81Urc`5W+fdj0AbSKOUHe|`Dl&H3|JXHV}=uV0>g7z8=K zx;=gN>KwfN21LcX)93F_o_%rp?2EIfUz}aPJ4^OgyiN{>Tdwa*bv+Lg4c5Q4rH#R(*TXS2xi`%=w zt)1A$_R9KZG_f99UJb?);pMgH%0?`)8C%(m#=&evmp3A@^=NE87F&e`hsQey$J_fyJBNq+rw0d@d;6DLJE!ZLM~Sul<&~{)bS)HF4MmfQ#Mff0n=2dJ z@%63v`sVWLMkv1G3r9TufMagn>~iaEHt>_wq>)+VBBO*4OmkFXx?~h9WOVWH^?Y2- z1g=tyE1MoJkztF}L;1QPv~dt^9Y9$Ik(L3tr5|SQhnf2G%>8-RA((R*?!hD6I7G6* zAQ%F|LqvE*Bq=SgG;t}RyxPCBC+ncNEhR88F($1XOj$|YqkeLqHWM_e( zt75#Xdc31zyuEC!y`0xk&F-paU|OiX9pwHV;@|*b7)t=Zs5CO0N979{qXIUY!=q6| zgkIHPofVUB$K;uMbM*r`+Wu@!ZqZ*&{075#gK+|+MXgCtV*qzUxut4u zv4&Fwa0>ODLL;}p2p%~_VDzj)fLWlS7pQ0j3QE3$oUb6El|;0XfK=cS3LH#^gGunP zX*^tv&l6&E1cT`l1F6FPRB``faqnYM*W+JZA#6$)G^Goh(*(_F6D^PVt&c|9Qbhfk z3M$GxUggnX{qvIOrZ0MQ7(Ra!eEOdp%hz(bgO8Gxm^SGOp-w9X)YIVe00xEDqSo3!EcZxGrO@eITEMOW9J(YPJpaGW3NXn@ zn9*LD`|;YWUYFH3X9><(gI-HAPHPesX1iBscd6}mxx*rNdld72g)ag)0gHj>l6TLI zRQqtSVEYGG45m174?RPV=ljz9y;**2zMov}qc^)~bp}e6mQrq{R@rIw4oa8g-Gi7BwNf}RC!qgT~ECmEJa#)u)pn?oYvj(R#u)@qiL2lm!3^SgG z5koNYObqYJ}+`j{)D~6l}0dmsu5awEA&uR~rTgZ)HKcC)0;Csd!5U!I(|d=a6)16yrmh zIfZV0Om$?CUD;$;CfSxwHl>mE85DgMO_xK}L&@emq7_E4K?s&?qA8tVcudqiAZoy4 z7Qqb1I}msejOflKd7%^+jA}zr%?OGaPO-qqwp^k!i{MVj&y|o&gLH|Q!(^t(a#sm$nW`Ut@+*ry1%>d*QwRsc+=pQK6k_%!92V@TeFuVapvY^QpB+-~h z0P=`H9?1Zsm|-+)F5LzJ!?45H4)}-@HR>$nJ4#3GReV>&#C)5`-ysgQPsZ9O6RlJ0 zt&;6#>E57WpYPk(Z0`F{j`yFQzkYlD)w`!(zrFhU&E>PBjV-^&r&3r&V`?sWlH4sJ zwJ6B-0Hsn&DHf8^91@H}fOD}3UO$T8g%GslP1QlB8?t8_GiMspRsWqU3YM7VR$`I7 zA2r?yW4EJzbwwl*yLkQP{G%&wzQ4Hn=JNTM$(feV-(Eg{10J8ecn1bNKLasvd3$hq zb9{Yw_Wbq5&0Fwz`eEM1@zu+tC&~34XV2d}x&7ku<(FqS?~b3nIZpO_ygj>qdk*I6 z_1TkTPOm@oemr}9aDBIXb-VNA#`McL2>Q=|dHc;D&M#kvf(ebnC>!A@@U6;rh-Coj zqt&blF!Ax$;7IK}vv{6Xyhttek;^qhECZ+F1lyxF>Wy?pU>asSw{zHLoxnBxg!Y{j{`y?A&OKEDW^o`#N3 zmJSXVwzl0X3CD8Gvyzx!TMuk(gjUv)9TDN>SSS`*S`LR+mX|kHR`(JcM~RJ-mCe)m z#z}PbFdW|t#kNA>wa`*LwiI8Ftn9^Cj}xn>YpdsLiSxC!leNvG)$P5NovqmBdU!1! zT#5RkOLL*Xd?>IO4fx~X$a;KrZ)5vpYwvvL@N)0udi(gv=E3>e-s#HDQFQYlyuKR* zKb>N$!N~GL5*r?a(<%iN<1^#55ekisqci#$R1AyQ#>F*`4%SQzR801j%ybt>x>2)T za9Kz0hd>k^IRFM?>4CcX^PGKo;L$yh=NZcL4#Vd0@OdJ9o{XHMpul)2Xg3*UBO)z0 zxB&~-Vc{AuLvS?~p~fOrL;144;u%cYRAnBTXl0^V{3nBd-q^xCkxXc=_$4J!5w`NV_%N8FH7AAq9R*`fv7M! z+U_h}cc!U7%RZFt#zV{l5Jh{Aur`NU@(2U}ZDqz^4K+h&1bzM`Sv28W**;!B{Kn^6 zF^-C+n`)<;i>KNVQ(ZY@Et%~4G)m=TdVLzZC6kBAo+co*+)|sk)*@^$jyLJ~Erzis z!+4`%qTVo3YZ$LKj8y{s3iU|2a->wrDOPd{Rjhn13k|T)dJdR;1E&Ctj-9V%=BpXM z7V1n!MM0}6NL4Zj6$!2)K~*G(oRB>`oH;#^J_%+hV{$li5}P6FPy2P>v5Dr#6HOp0 zvINZ#K`TVio-68vh0+5=TJO|(eBNj{wzGP0eEj_K=9}l=zJ2}ui?82by#INh^zQOUxYh#3VCxv2 zG&LcR%fRdY1+8&GZCq3t7qw=u!RjmxP!MAL?S6k^yyLG$hAFKw2bSp*4fi0cMaH#^hcf z9;bfMYYi;AgG;^$NQ*hI&+VFX*u6HZ$7*uhO!E%2&utDmElYNb-)8Zdt@B2kS8sP| z><*>fCbe7S-g#vps)=kE7aVr`q*sey7;p09kxOkUi`^-np$AUF1NYFQx!%+TOr~!T zzbd`M z@UTgDuU7uM3i01mj{l!^yuWT{{Y^9Tvqt8FdS*)fXiCG>gGSYF8Z`g9LGwS=tN%mG zGy=oz9VAQ;JMHx9EiQ5kbOj@CnFd{^!_YzHt34d9bVZwt8j&e zj3x(9p&lZ zR~g~dO%vL>yL(Zs#2gI&QNR2?){r)=gA8l)@Y-yWK8NdaA9L6MwDq7zE6X5x*H@xTM3`csnf9!U)vBQM#4yI>>_lron`^}wkv zB+ZVX*x+Pa9?_OVaHQcq4{-DOBx^5SF654TCrBsLUB6dW{y|ytgS_Z#S;4o;vLArD zpNy?vXlkBGi;l#3I}?cYQP5f+U4aTx5z7qJItRTolJBFJ>hM*9fd(p_(IWur6p@i~8FGiL&_R3dpaC+V&K;B?35p`Rs+_B>95K|4S!%{?r5tlU z)qo)B(Ns$T-BCby!bz5#VSUz+4uUu3k!>)F4N5dZ@LC8?3nds}$!RAx7|otXcjhsj zd0Yo<)Q;ra3i#GizPWnB)-3X1rWd1wNLyG3`{XFH-V9*AOlhK;?Y zgT4Lpz0-@mv$Nf^)18fIV9}s8@JCcEvWzh}P3@FYo7I#$J*84k{^*K4HV)1jM6&ww zM>`S1Cg@B}_Do%tq#<{hYr5A!+i zKFqrSU2zBAes%X17|<0*&t4y1zdE^oeg5>##q}G|73WW0on5^;PfqE4bNc-C(bK#A z>)YL{8_TPo>sRFe`7d98|94kcuOq=VKyFm>xGH?Bx+537(Du`7*MvRsiH_h%-8`#w zo>96$D_f+LtA{Jty%k+;6_gQ@$gVN$CtUlhf&I1k{(9nYckTFi{q)J!)eVS>gIC`i zzWMg}i|@c}+`NvQU(fFyd$#vMUD($)7xxdN7nf_#p08eAuUuR#pPVf1?93+;o@jI- zz7kkl3$L%omRD9n(G`Dq*&mMhBOoo7m$z2ekJh&@)^?t(?mk`FxsGj|hgXl5VmpE0 zntw4GTnw!QLfhf+K{R|43!g8C&X>a{(dZF~k6?T&5L;V}#OH!xw?ANC^f`P!PtZRf z3y0Pds|VYAm-{Erk1k%GK79-F?D+c4(eN=RY>ah!+e(TOY~g*rqd_ONgryrHJC{@RJ&3PE>?sH;HKi4u1pCfnii zPK2%tY3=?Pgslf`+~LjvxEl-i;1FISVvd{~EAf7yg^P@`laN*-(o94di6{dRZ6FmG z$whinu?AbL=q;9a6)HOr>Q;!dDPy`Wb-d~!v+Tie;e!s;gF4v5^4!$?tV~1}6b?bd zpk?{Uit3_@w#ss1L$SCMX&%V64`mtpGgZAAitbDWCP&c)1!|}nJwwuuB@q~E6VJX^%h~HalA#(Z_|&p=*JuN6ZN|B8r@hGhzbpe z3SPOKTPkN4D_8{z23o~LX_zR0mE5gN&(7C#3IKM#hLx{kqLqw%MUoczN*Y>4L#t^h z4GpQGAv83&mXZsQv$cdwB{oyqpCReboW_DLAV*Bd7Gu+Yb%mhyk)S0_(2^}^%@egD zraF<5ZnPK!8|})Zccd`7A9IJY$A}2&48h{}2A+I5zxK>*h$va=S?bsngDhlY!~*KH zYntMT>I-IL3Uo9ma~Jpbm+>+hd`_2c=EKi97qs)A5EDo1d=lU&xUct)i% z=`232#izFTRTjU_wqSD3SzT_u*`UHDs_NVqn}Y3#0veSQaz=TPN`P9)Eh6|s`VHoaz(=c6l(M(~jiz0R&nCb<)tUT-rd*CM&hX0O$}XtgXk zZ9%UyxabKkxR(~3{ssHuoORJ-0XgAwSprUL&|wQ(ZA(V`qAs~Fo=0PMs_izF-KMnJ z6gHcBApk_yjcZ4?kl*c9E|{2$!gfC%9cXzlkGbz2yl=q|gaw2(%H>c!yV!Lfg5C$PEZ426Vh zdp}EAIUt61Ox$Z2`E5P#UhBwX3_rbZB5P2bgPnm4&p@z~kRf4q|5O@A{;*B=pczPM zQlvD@+-nwp(l+roUHsp6j(pn2z1PBh(87P%B7W2+{cWrKe`}Hdt7iHC-X_YyaGLrE z99)-)_Q4gLq$^@nXp9C28_i!(@xc|WkFF@+U=^*&&uEcKOao`3kQ}PHGzH>n!fXLVHFY z56SQ2Oc}!l*su;Y3?T3Tl&H%k>2pbzT(Sc~c4Sek8B}9BMV~>|Ws$TwBwa4q0w=qm zBv%&E@|d7cA!;6yRVh^EW2!2H1Y{G85TY4Ew&f-ZS31F#7fG`rs1_L61h&hWcvA|_ z_Q|jlNih%bG_zu9K*GL|_xw>){wGc0do}ty72sVCwnO>`M*WG;Wil|O3DA2A{r0FGJ6MWQ7WjxsYou;#vwAMl>17Cu)nS#tNpbf@LqH zfo~IhFNQ3#F`a5oqnR_PrfjMqmtufXObD_SMX{l2&V0H%pY6^cap#Y_3nyH~6VB2J zN43!1Bwpy4Uh0xWx@MQVWQh*ddaHJ;$+&~D?c=?NZ2yTcd?=6Y7!wiF5K(`TAb> z9NCG4cO&7waAYqO-38mgrRYWgyvUA3=Yv7-QotJwEJOnS?Js+9fZs=g9c zZ=t#ut?5GoeQ;f0o<6xi18N+|GlIuta*h3Y#sRo#5Mjomthjs&uE01{01OlWefh>d zl(iRb?atG6LX~Z~)6EcmeGaWU2VaphPy)f^L)wseO$c}$4Ap={w-=y#N|BTrn5Ye+ z@6Rv|qyv5Fik=L4ca{PJRdm5s7^oVPt?f?N_obT$vTWEKT~CgrIh$XZMJayNm;Y%a z{6A2@mntK~R}Im%Kp?*Djb599MKzN@(_A;zTsqnI(G{5=T|ui&Wwm7RFxis?q?%i1 z71x;rjXHj_cBEB1(xe@&*Yaz%qt%+x$|Nc{l`>Yg{jDSN+MK&%asp7r2RRP zzMSd795FUWG@Lbw&G@x`#dLS-6edm7l`+wkCB#6cd!VvD_)KrEpgV)pmBPV1;`L>W z4(3d;o3!!~hudY*ngE_y)=Qb}8yLfNaHw^BK6XkbQkd;F|59*cb^G%0?Ag`L?W-?e zfA{u_pYFc>)6I`RuLmL5pt+bPAsHtf8&gUY8nBJF2ekHp#G)Nq${)=l~EENnIEWPEZ;ai`QM0`GA z@;k=-lRbWXfv@TQT-QD4;O92n=Z=8~F3dwuTl#!I!bhy|F&doADkHN*%P2I^ORe-O z7p=xisac@Z*oLdPtz`|R#bq_kG~tvvo`^nu8ag@jZ?BpB3(QGvZSNSgj+NCgmfAA) zsBPw9yC9{5_ppnb+B2HbKc3k)k={L#+BNpDLv+7g`gx1yUaR&|yE3Cwn%XV7-#hh5 zzvy>;f=@AHpLLAh?-+a7DNMyoecCniZ#rlGRmaS~?U+c#u*$m$WNep?TC>GPZFAtD zE25O#7!|fmM}6$6SY{Ug;)=2zUd0BhI6*_lh_Emo8o=f(3}h`1<@knk10XYq*&r$+ z)YKpa;wK{)NktKS{yGl1GYsD( zvT-I9)=)eI6b)$#uxj+M8jjaPh?Z=!Et_h|p_?HzV=h?_C1{~|P#xA>iYJTWP9u{&rk!{S4E(LG?C*5w-|OH%0MH+G=pXeJ?+p##0L^dI9XB$}xwvg-tYMj1 z9b=V8Kw7X1mpMgiBPCn>GC!@tJXAH)SvTB6C?60%90*TQzqLCWm(|#Bq|EX_F|f=l;JJo%$4%z%Y<`fA~4=kk+(`b-!K_y zor-iy;$8C99`y!Bx7lXcXtZp!*>?Jz$9VT8(Q`udY?Iu}Wa|<|J4c&!j0&YQJO)7T z(9l|xw6n#EU4;VOjK@^MV*Xj9QhRlcwWA*qF`>T?wJS@MPq8R&|J zRAc>PTjQg-UTA<)92u!~(aY5MLSY|*+kqrEqwp=IvdNJ^IB@j*=Ir*1i@P7LUjP33 z?uYB!q$@y9oL|2>ySn?87RgSAr>{?*z5zLLb@vUJ%iFKcUx2iDclzwjadK$m&FS-Z z;JwND6*q5AZ(g0gxI2IG>hi^_C(mA9T;HBuK0mvBaej4sp7h2Y=!%1@oBgX7wpTx| zGcEk{U%vbHPuFL+p}Ck+pp??+s^L~$H`0zR@-ga{1>G@0S9rW7I99j7u5wXIEkgye z;ffJ_6Q0;JDiYQn!9U5rKpD~ZthW^{8Ww!IhMIgIZd#kTgN8#|$ujX-2&!5?1m zEd>Ih&{8BCj4m&M9El{25e#ny!`t976x|FhuLonxfk@aF3HqW-f!IwA|gyXTSJ)8NjrE3u(l3e9>v zGcM<}-8yA6&036dlR;%N0476nLBG*p(rFDEl~yU2&rZ)wii8t2HE?D*j8q66LO=!( zIYa0yY+(kyB2Czws_A{C>wm27O_g=0OEKAU3`~JRDKRh=CP&kq2K1)s`!Y;}S?aFL z$%YJGSvtAsVPCcS)lkcH^l}}m0$`PCn5Ak)iIQF{rxnVn1#&7{PDLsx2n7YEpyYv( z5n&PnLNbh)9e~aD!6d!VsXmBsAX_+;IW_cOT_GPzlMbd%_NR{bJr?$*&-7<12O;wQ z?5W-~KIY+Q*FzrWF%OeAF^HTc*J;@UYGSXVvt_obM$k~s#*`58g=}8;q;ySu_0C!+#% z1;8paGC)^Ug05I#)Q6ajbCia$&dR2;qKcXZx^T*}vKqdAws^SjT#d<`&LQ3`x{>j? zh@4h4meD59=u)P3ic{LTDIKgwNm}qzyFpQm-ESTHyhZp~i{z75)#vT%#~5W+uPkF= zHf2!q33mE-1L9A5g`akf-@{Bi>=vZ;iazTR|GVzV|G8`Gue!!lx>)Eg;?N*QMX6cm zp*KIcB1VBM(>}O@S@@x|qA1QNT4j}PaLczxDmU1r33}l&85zRo`G>OS`qJhHG8cxj z7l$DMLUxFp5v8SvXt@CzIzTOnkqS5P=)Gao2EHIpEQwOe*IA|eBgH%X5)-Y8iEU`= z!xUjzSp@kbvK2xw7vM}~Lx!?JZP|dLctC-~0uY=zlW5DKCR<)8!vv-1p?FQQX$Boa z_GC~zk15s%WZgrmCX=bozA6IH%i>q zbnpIn+X}08nOzm*lt*|a@sZNi(XtJG`4Y9#0bX;p)#BTRire^~w5wD4wCQ*thX&-3 zRoO&YHckQ=o`qtid02TaUYkQUWzpps=>h+3(I z4N`COgr$wC#?!{esY6eUtK{8}%g93T`<_91zlNKzAWxTQoQ;`)OA z!>2D!Z{9t5_2bjGe|q}r$Lp8hT>lTQ_%O@jBH3l}_Vn4?i<>X6?!E?H@#N*#;Q7zA zc%H2OeVSYb^6vaa(iLa7ug-7pE^hBGZ|*LigRXdSe);VD$@7crn~P_6=g;m=p57i_ zgRS{3NmoQBTEi2K^XzIH zsRS56&)}-~lnx3DCjcZs+&6!7=DXYnT@hZ7hSn3ojm@Qvy~x(y^7h{9?%vkP$-$E+ zr!QWd-rk5Ge(udm;HadGqN z`1)r5;_1%$#pdbB>hVEzcXMey;Y%zBR#$@SYvGNJ=vH!9+Li6y_~y>?#&#sJ9*D*l zmcn!X;DSHo3xxe3;QZkwe>m(9#{;3YKyWh{+6+avBJqt#d?gf*2A9L3+;LhsvH*875uUl_T$hDZ0?AE`%C%1ttyX0bP-9 z9LQ95W(ez2S;dctMGyLmKWi`k9UEU}1X$}kuE^?=Gq9|-ugj*)5)x;ssd2KoT-=Hl zw?p_%ne5s$O2s2aUFt8cKq$E-Mp2D!yiPMxuVOc-*mWv)wTe@zWLGHJWeQfAlwLhU zX_z85PvIM;aJ5s|s+r*mDXv_OFH@1qHPi|%y+T7TSJO+Cv=TY3NJcG?QqWQgN=in^ z$S@fxPey`DiO?B5d=iJ8#G+@#HbEoqm{0a!I6*@GK z$KbS0%0~4L$6O>F-`_rbesOm9;_B_27hiqz@~ii6zWUoQzxv3Ef8q}hisuP7LRi-WOn)i>zvBq(wJOYvr}hrXiXNi!JyOuvs(3(S}9P;`AQjAE@LZXBTCu0 zN+#6E1!}cGt(#CA$5qBLB^Z-XZJN}YW^~3`z#!A;6>7awX;8|I8o5QMw41bUGvGA= z9%FK@h1;a}SPXL(5E39K^j_01{S_wTFERZb5E5Vv1~+&FzcriZES7nzb-`};+3W$E zJ!o@89FDNt5%SoB^Y-9^E$Fj_7VP0Ud)Q--Ivf#;BV=#}wGO|^F)y>bZ=7FR2o}>A5 zCnnR4MZ3x6c50c4US?pFnHd#UT9uPtv%sniaqAbDwW6N#?y7>inrb48J8ku9!s`H* zKxx0zbD>d-hbT2PQY47xk+cfV<9cCA+w8+GX=;}^y^EiL8BOaEKJJ@&*e6NpnY`a6 zyw@rEyldw3F4;Yd>;XpdsC()`&*Z1QqTlohf72uSEk^uF=hSCilMlK@kNO0k_lSPe zJ^AlCXMWoyNbTYxFqGcGUJ1D_!a*n4@B{<8O3hiJLF06IjDcQehH0u9mff;6O`p6{a-MTz^V3WlwwD)tZ1&efNv-o2he;il%q+f zsnaQ%EEBIT1E*@~T%ys+Rec;jxMszalEi)qIuXdE8?wm&1h38=Qb2|j*+YsFk(wHO)Fogoa$6GL0!uV`|bE z`b>s7mt{q;9R+Mx3Cml-TBzbKR*o%Jhvyo2#2Ip4_~< zeDM~v#N~^3;Q5oAFFv^9&FQl@XV2fBf51c147G8mDyu3p@!osyJqRyA z5&{GgLI@#19(nJ*_g)~30O7sMBwc0JId%GUpYFJGdnRtgboZUUkFz&qnbWspBL1;r zBSa<&DcHZg_P4%uar*!+PzBebzB##l4d_Du{=3ih760;YAOG~zl5PZ69z>KR5=ywRe5Ddv&{ed9!&%s7`TEX7;$?2c9+-g^f(-Dhu!70Ib9Z~*Xj(~ToH$B-R0Tv__zFE zVdt7J9P);OzHl(G76?VdYg=oZyBoU)8+%95y`%N`(c0c&WEb3`C=}Zb?d*hhVv*S1 zTI?ViI|;{*yxVcd){ZW;CULo$CKJfyIgHB*F$}ASG-C?x5tbib$e!Jakv3iUa zm(J)=>um~+MXu1v#Y!1pEaCFSEVhub%B51+q@`6No`J{E=O(EbI28q@PV`d|-85J` zeYAx!+_*Ya#~i3;_E)j{DmcC6oZeDSUm>SIk2jDb8O&1-6{v;_G@QyGNaggUaC+0Zz1h6p zd_ixns4r96mnt7fQxB)>Ml*$dsVmJdP!(UoE59DDeF}nn#1?F@|#KL)ny}Oww>V z8F0l&+K;Z_!qZr=RN81V37SYAPNEN|u!hrChf=8n$t(Q{OMMB%zJ$fTgyr58G9-)M zlTYu+r?%vf>$3>0S?Jzu#7GWqzI&Css5I&A!63lVy_>uE_1)g(?cVuK{PcGJ=I-V1s<2c=PmO1M4oVoFInM%A@ihkzMLtLbA$@6K*1L%gaW0IuN3l> zV!m1;&^+GzFvy-F0V^}rGK*Sn1#|(pLJ7Fykrr|wQj;94vM?*3dR#n0La79!QrVsY zxI(SAYt#;%#%0ua%sQ_{@3R6i_$&sWS?@C#ygGwNt@kMP9=XmX(K|(2yFg>*s!al| zMQpIiOb)HxXZEhS!ZG*yzIW@?7rS(C?b_A@rjS7=o>OCL6y0BFAkU5c$>zZ{L(fZX z$Cv81->4x8nvonWvQ#};shqA=q8n7`M)gdi4sZpo(MxD_%-64uR>GT$Ivc7+;S(5& z0LwSQR@Gh0;`&)m=@=uola$uH@}iykMGxayA3dp`l0CSbJ48+!W+jY>pO1>a8R2{l zrF}h2{brc{9J>0=5aX+U%Co-Z-}Np1s-O5b{ls7PuKXH8{~d(=MKANK0pMxNUk{SL z>Zg7MS$)|{0f>@2fax6@Ax*Z}u*Cr^;EL?+nT#kpJB-ftWAa0o!gX}X=5$#UTNTFF z`H798#YR9E>kD;3bdh&F%{lV5b2Py@mgYiayC?G9s3JGI%!MvC8pW$uh5Yf6wh!G4Kgl%Q6J@jNn3OlL|+EXg8AjOIvTOgV(1B(iBv0rHKs z>3eDY--#RlLDcwXal_w9YyTvx{-d<{50cK`iv}M!kPB+-KCymlsXnsO;3YTum+J$B zy3l-05LNAmRe1)gDE+~6OF{#Z!sxlG4Go^VjY4NzM7OiYs)b`Sh!(205W`)U2T})Zc5~~19 z&zxZ=P6`uIvUIE}m!K~un#=K)8l1gu-cd`m*N`1GbZ0%o+rSJoGXw2RUk}p@VFh}4 zYh8j^uXt}*afnbKkE)LQWXJ8oqYhrIhaK!&wZSNI?D8sk0nfl8*t0!?nL5FA9e=u+ zH`BpGbqJ=~1(R*SRpelKMn&SYw(J+Miq!d*tmT$WT1z^+IgQnnvf7vogx{1bZB5p6 zq&SANBa_83T$K-1rb86*hx3SlD>@5@yQ^rF1)JA>c>8en@ZHUaKi_}%UvEGB`TFhm zm#;rwJ$(9kE?<8-zke#!eD_$Z`Sz&^C)nEJ4v@xsKolS+Kv8_W0GEUS`S$YR!y_<0 zoZo-AynAzf`x*#vaDMmx;{N?Pc#8x$eq;Rb*%ihA`ajgjjp%C8cm)+&Mx1QL;YViZb5t!~vF7q#AA3*tz44eA zM8$?>drKdSIrk32ho{>oSFy9}*y;7o8DN9^!<&bbSMN^l-yYw;J-mC^I=u|-9l1AR z_O(q*aLpWy0L<_LAUQmV9G^zdF19bP;y3pv_YY^_^u=BL^dfe6yuEk0vAq}F+}YUN z1;*%REV>Z`#z=HC5MJ~6gHE>(K!x4vu$irPlhtJaPU=>_*&ehy!VdSk+rI(2Vr|_Y ziTJ`{U<^egk*#QSXKQZtkCM#!olmr|WwsYkSAx-J{Shc+X{R=V*QB zIIz9%+}Jj+tt-7gp2b4dsHtitO|77*!o+i7yzO?JD)sZuBubGck5gH9){P#5tO9GZ-oSeY7I zMhp-~yB3Gq2>p$Oo?1dzC9$(;r6ZTzkxB2!Vs&J*IsOwNQQF6Ls^1>bY5=?7m~__Wbh%`LP)l> zH&fA@p&rOIK(j5d97%uba?4la6~Ba5KO1aH?d>X>Uqq0ta@b z(BR7D*m5zZOn|Q7&eXDIni$h&Y}%xQHL`qVA9FM=`?8i|MGAD{ps`1 z8p~jgrqhR0DMKlg!4&EMkW@;43aKx7r8jB0FLAjqX=xy7r9X|_mqUdVQhEwV-MLGh zS$IemdLV0JB%6Tm;_!(&o6#8tly$sw`F7*@Hne-pB@(E_0`+4w5}`&a)JjD_bdPPX9$g_d z1EK(E@pD(mrGHs#0iweC10?J}MFj+WP^)$rG)}X|ZP9r^R2cmhqu*rm>rFnb$*VHD zujOEfT#$Y4&Js0gE^44(|lFjzU|)<_L*mE&%PBkM%`NZ zq5{_-g?ypzePQfPvG!&dx?XD9eyeEtg|g>s)o{8RQK+7%RHGWy=vFnlMU8IKVw$Y; zO`fGD2cdxjubgf#8fdJ54h)Y?FGJ_~Z5VdN6eAx_%NwNScGEID=r4Qdzw2XsF+fim zrsa)L@<$nIqk

s;|dX&tc*haCQQmnTTK|BiM?nZBRcrep9lI}sIg;7~s*xa4@LO;6PG*K%=cFbZXy9kuBB}pk> zU5qgmqRe>{sw{*k113rz)2EGjQsMq&lr<5jelah8hT;Ae#rR@;HDOecF{mgR(>G(x z10=^V!`8zvw9-{IWO?zTJQF9+n3ZRvWni<5X<_yhH)C?O5zE4ogleALDp3F`HL4^$ zsSL|g^wL#$Cf&@NxRJDeD{1WQqNH(o3PPQR&}Sg^*;D!)lrDQxm4%dLA|%-eX)at=IIgI|sG1kGJv0MU zV4hUlrZnaup1h63s>0Fp(VXN-QNolwZBCuLq%T@Al`mSW@%GvUXU(#!hT^WJgQ#d? zhg&(}4tAi2)$kFd_7W`y3m=o+@4Ko&0sX8 zG8$9p4Jq{cWNuTkxHVbTkzyapUYjV|!&U@QB_>3n7@D`-myhfy7zD24$P0E4=!%Os zzrXwTA0B@HPrwMe0%e2r%R9H8_KDb^q@6{^9oS;p+bFIf#n)m#^Mky?O)C!ua9y{vbvF`afR%!++m9 zdoZc=w8?SCNRJ5Cp+U4*rd!?kwh*a3wA36}sPkc~^r#9RynJb>jDYIIuOR0ID@=<_ z9rgGw4!y^Fp51NtM%1>oVTx_(c4N+i!|=()&iP&J>^63KvweEAcX5Ak{cwEu4lvKf zn~#@oKOWw^-afeu?;X0LF;gI-b^8s0h#2Z=zfDzuyL{r(NNFKYKj&7O6gJ*Y5yBsx1^ zVPK0?46c~QU{gpG(jsAL4zoBjv49-K!v=9s2yUPq-`7ZhR1v$&R=P^b9VMiWqQ#E< z`OciVuI#yk*lk}BK`^shg6_WlkVSh2VKc6>{CmhU|4&_S*bAB(nX29_-9WY(nq!CMN&8cln!kjV|J88av*FI1A!x%Q6{m4p zwy*Cu&h7)T3rFx!Ep_toTyh_p(%nz(tf94MkegGN8RQ+z9bSdlZ`JB z)5@ePWimpUe6Cc5E7i=G>gG$7bEQ(SB}EwzUBjMf1g9(}8)%3c>R1JJw3GrZq7LU% zhjVGrY#J0mLgteYNYM0^$B+Os3}sRVGs*p#EKQxLur(u zH0tnAu3$hj7{eL#p>*0{8l^v#+?PV?O<92?gXu|Lh9ocbB`@_SFZZRd^yZKuMJv4p zOMSV7{w&-;CVD7q5}LJ$>*Vnl4K{-_v=-Vu-9G;|9KUg`#SN~I*5p#E%u=!D$rS)6 zgg-!Wj0aO6M08pW__zbSF)wkga?fBRCLt97Tt&{NfDG*=mz`e6= z-wqkoWc6a3eDJxtKSAG{Wa>`Qc7CI5{f(^U7mA*5)X)s=c(HD(N{4RJVcWE`ZCXsL z4%2FxZ+8+qtqUDIcs;JO9Ntt3>+K&yV1}p35EQv>ic&vLse)2UdMSB5)U-k7i&5@3 za9$FEojJam0T2Q%d=68*fUA;`icFL=7dU%jWQDVe0*owoMwB_pO`l+=POy?ESP5|U zb13)O0PooV=h+bbt6|c!LDDk_<;zYg*s&AFDxc;IV&+#cgZkM@7rHPwoxL%Y8UdGe zWICp@y_5NosiLi^vUN;VaK6^F)DR#xL>3#Ogof~JsedBFGxppAZkV3oM&@}Yi#(_@ z?{uYey3B?uGEe2Z;CX@JoVEV!z)+@VG{Xf?1AZhjoe`bM@u5oW6E%v7c039O!Qjhg z8TlxF22!2^SEY!RxGm*nLOvI3kc6RXXd)#c4qy)D^$wfnWDQQ2m{-@(-fQ??u&M%S}ns_tMVqrG4)NJvYqu zV{&th+#De_c~%;|#Cq>St#7V6G*cCwsN8^6aECjfePg*j*i0xnWs;wWRcFm8izbwn zVadx-! z_~rqS!|RX#`0fw?^y(w%ibojyM2ja^Ts-pNi55>e{XA3g7pQoewYYcv3}h4>DI=-Wku(}Koi?0C1CTJ3PKRdF zN3v+6+0>ED&#o9uBMqdG22;p`Kh;;z22-g(9_J_kRFHd9NROg;3b8wh(48>f^#b3O zwAhuo)Rj-{$s<6r@x2+?zKrRC4CG)29@EBR;nW7;eG3F)M^CPBM&f!`NM&$HWO_bV z_T&n+N-vjdBoZY^3$aWfmJ1|uzF5W+N;v`vQy^yWL{zST!Ua&l15mNV22cUIf(U%c z7c2`zO9C;GFMdRYlq`@@!RyH zj9#tDt2TKQMsS6TSZfogEnI~Wa0T$C!r}!`VGnM3*W-bWgYf22Wa~Jx{pgC=X<+xr zACG(YHm!Q5Zly;tlB6C?)b%FlJ6@{WpUGQ(EqQc>2AW|&mKdh1jkC?h`40VDhiQ`?Cu^Lf)B&7!{hkj$)&zYQtQ}C^}tGTKP6|3oi-s( znwBO{3sa_fNmIO+NYOWNc>+R}iP9Eh^_6(w%wn!zvDL4bYl!+vf~p)ZFPoQ_%*%2y zl2oMd`7rORA@;Lj##d147X#$qbdi72O8TaMHE&YVK-9q&8RYqK-E6IWrr0-?9YH1q zkg2ZmbSpB`HJ%%sDB74PTLWED<6Wu`EY?RB>ZADj2&ObJk>wpr^up6TUYo)mQ5z2p z`g^VnmL!>)YAD}F1;{Z?4?dtt>NMfHCaHGePd`d-%e zP6)YSbsbaNW8~KGa+8}_?^&qz;%j_!RUu5(2C8yvqEax@HrhLw-#M8zw3veABw|%L z7-bn+RgYFR679IxOr$V#f)5}tYm$>S#mYvp^T3wf(qfFfcvez^ z6_(=#^(09fOWws(b+A>ftEwiNrh3I#x@aw)x0d4c60?^ba(%UF@Z)j&PfGPo?q5ZL5} zMdAFEVZPry+hd;Yw2ZguQ60*;9toij1FLIj%zd8zRZd}Yb8W#`cl8XUiO|xYoL z8kSm%3H519jTtLVS(N51T66kpQ!=M9LED$*8!wK{RRu9sc2tFWyo@wZ2ye;lX(}Qu z&e~lL;1qfD=DW9_{_)%I|F4Hn|A8z19W9<9@iab(;^|vIqT=zM$cM{^4}dOy=8E^A zD{kLh-o80~Tn}<~`*3ml`t0_#;r$Q$j{VEO-TmD^?;O7}D74fGIBld$0Bco`HyEet zY_oN4e4T5q#)+wPOqVI(rK`iGbCA*%>>yW6QU*-Ab+<7Vw#BzBTkGa<$mI1|qU*N3 zJ?Hs}|Li<+b_GsTT)sNGeS7x$+mpNZhc}OH$**1?-aG)PIC=H%{NV!t41gA)y(8dE zZ4R&N{2{e3U|NqlW4r#tqv+Yi&gK09@Oh;OZ z{ShFL^Q-vD#op1`-oeRk{3sqjJlH=z+CScp?Qcak!tOxO=?ge~;OO%EoqnIwAM}Q! zk*%Gr_}<>h{^7;p$<6-J)y~2B*51j+-bpkL

m4^xz_TcnM_V;9~ROJg{@$Kmt@HKbT{L=2*sZ z#eGSOO<#VFp%5AR@R@rorn79iO{n$0q-d!WiZ-_{$RrOmiu=A#1+wC872= z^Oe8G7XJd1{|j8z*Nbgw!Fa z(G6y?GjYECIi~fi+13}hwlqRV&O%rAe0L_UCk+iro9sChH*EvISolPLpFd6(OR~YmbwZh- zVk%!m<_T6F?|?i`R&W+soFxu#g)bxt#Uz1bg)ap{5y)r)IYX#m3Y8p@iYHR@MH-<< zBNA!ELNF5H52z66z&xQs1jO(Z*;B-yn^*j_B;-E|;0pDlD|AoO6o4pn9;41}&;qD% z1E>I)q18IIdf>C_{_!S=MDGx3ZTv@9h;(*^*`sxaEdEW;`d&D80&rq&`(*ubj6Av` zymt~hI1V1{IV}PMZBU8GP!A_-ATPCTUnyIECvEwasP&f$$a5_;(==XUo~|*^HJcYY zO}I`2rc;mZHqG@~76y&DK@p;Z3aOiKt3^S&VZ&ok*v#0(JYsrf6h-YqP->y%VkkX# zoS%+XCSx@TSo!l=@pH83#gsGwsYsjD6k$!Zi}q%ctCiwzr+eDzt~Q#zg=%i5n3^c2 zMvAF&QJXs>ON8;CkFdXiGQWm0z8IkWx`+BV9pvZ3+`?IP3*9+R7LXTEDoleJRpOe+ z3L*e1Bs<`#7I=meksBBj{vf&!?>c8_E_VHtLKI=ErkXrgB{$p_C1OjO$^+Zf3H zF*vMdbS7(<@Z|vQ7yX>y4sgC63#oyBvGDx4j%;>L19JjJF)6S1h>!22E7 z>)zUQ|JAGevs3@xV7gFPj)k0k7HWsmd`K_9V&^{y)87koKMBhIz_0&UAa9~DH>}*^!1f?!V5+gv#0r)i~3Tc zv2oedL$>y@oP#3Ypw!ZdM-xdiM&vExNh};j zh8s1{b=ooQPE>~**=d^Ul+ARqv7Mv+mHB09|M~f^(~8m|kb2VG7;Og57>6^V2wHy+ zsk?TmEsxw;Nbf0O^_4Tb3z%)0tmb4@f3|zPcoPe_qS}eB)=yPY2TKruD;f$&ix|7Z zc6xn(`{vWTPk;XO$A5bB>Cd8v~{HTscasa6K$rTr`zP-MG ze|Ps5a0PJkJ-K;%eDmh?=Jol_tFxO|KX=9L-~K<_hqrpUnlcWfK|6)87R`9QajMpe zu5r#)J7z0wGv$`a5*e(NK2$abDW@*LZ= zFV2D&7r@2r&iUQJ^}{Iup10qD?KQ67>|eav2d6JyAKn6wzq@$*@$%iLgPYfzCl`U; z1LsD}7+Ti`LZ-EK`_{I5cQ1Hwynb@IeSW)l^$O4kK#Ow#6|X;BKYR;}KrUasKY#W1 z^#0As-Rt9v8zp z4xir}UI$zeJBaU}9vod9o!#u8T<;v7Z^j>8vG>^(8;2L0$5)$2mz#$d8~f+MokK@7 zW(YmH!fs<4^=y-YXEq8gCWYOqcRKAJufyeaIJ{1~*KYLyiZGj8CbQdM_UO$XgUM|) zI8A!H(cl0M3`UpU9*_Mq7wv^j!KXVBvc`rW~x zC**gBEY^@p9}=qqV!2Bsw(|Ho#;SOk%v>On@be3}SqyFpIS(7g4|dN(nrAz!QEkPj zwmfu4Hnuxsu_ukzlgjH!5%#1AASryXz9NOwo%-YoX-}rQFIzX5Z5+-vk7f&dlL$>; zjFkTML`T}fOgoc}lk3HnkS}<2=Gr>cdp4!I0E^CEo*bEN%f~jQ;Of7|*ZgX({1>yu z|Hn-JU(Z*6z1*Gwe0YSYCe0GW#v0XAdXO6H2h^Cdz;sbI03J73P6 zEoV%Z(Wi>(lZA9-{wgw$h0NoO=W>ua9Ap+7nZX=Sqr;PFup}xhkvf(Dga%8b!;)5E zNlaKWYb=F5mdb)#38cP6Qg7l4BneDU z(n|MJl9#)Z2^|S@t=~*HeKFJg4YoCTzAbCMBMaA=G1rwk)15lelL~{RVI~{NWRyV0 z(*y7KW_7bqByyOeT7YMw|V z5NU-XtyrX!h_qmYpXVrKKTcB!e-On}cg@eJ__4?4zjuX7ZvEll5fuuXMrqfo9C|f) z@5A_b;{%|DLFduy+(2}C4_w7))4G%6mKWp+fD^& zVQ;0_+Nid6nyrKG=vZ}kvAm5GM+r`wJ}yoiEI%y4150wk)2#4p7b4G(D2gDa#vfF?SJ z69cf^waLoBbc=YhcMdt$i5JcWfO(~~H=r3o#e-A}GLW)*!DXMQKj`@}E% z$gTY-X!GrDiX_&Wo@8>AN{nHlPB>_ya1 zk!zRLwY*@DWDTL(#Oil2h8?tNXHvh_!*N#5E3*;YyeVEGhF^>mmMw_N7sVAsNij|g zyt?dZQTB`|2QA9ON{R{ciWPMgRaZ$iR*=jU%eLwjN8O66X~o^Xas zvIMh4XDrSO@JJc9Upv!co@sWV+kKcWEwY6^Tsz%e+F74pP@MTiMsi(SMQ zPKC}T1O6cE-4Y-Mk67;(>pj3R@Q6(BRvJ7SqepM@nk+u6EdWGs4ycR)x!$kPd6gQM zLS+-l3|x_l&6jexA`Y9!r87Az6!rpvft_8RM&c%hut*4Yyc36PU4+$BhO1e zN7v79e7mRSz>d-s7V^Zbg&7L0X=R|4*qKFWda+Rd6~5++`O04}H9x09GFYRjwaAX6B(n4t0PIP&?F`_d37Xpbu^tZ zl1_)FQ6I}PNdrlw{=}7k=ZfA0AS)2S6^Y9|iOb!I%Uw@NTIxyyUD5V@rsWyBc@M-;w?3inK>pq>c5Y%}g{buS{^oES=p7xMKJEWAym7fBV!HjA<=?iNeTciJx4d z)tl8iqY9vfMlY19SVAd0?xs}dPou4G7L6p?s^FC=pLV4)@pEZ2NQgT}yoR^S+G024mKoqhc<|rPw0x|wb3+ex_ zE1qZpi~uUMO1nGnq81}7KuOY2^2BNFH)!*hv({f>jek9-{q>wS zdDc*bG1uX2ZDda$E7Z&Ocha2AE2gGpV;jZVMR!7&-ac+*P`KI23{@{$bEXt&2yyb5 z_~nQ=5hhMSiqlczym?hQ+0?*s4^l*!xtUc&lVq&KIF{)ded!)ca>CN>@LU(7zy~i5 zAxiy|C9atw+gyPMR}!4BjLz4t&sMHam#!fTg2;UDc%BQM;~vZQjAnU8G9AziGc>~h zO*4;X*kIWXM6MH=^O$VMXsT^6(cb?uIF_?DS+R+3(ogp=P$N?lQ!Nw3Oa${8LiBu6 zl#CK*pe6YLA+X}gSy9EbsC-gXJ|!-nl~v%C^%OlsY=fD+NULj1ts54J`nlZhRbD%l zUr!R3FDvtih5~}A3~#B$S<48PERyNPswsU{TTPSolK4whftevW=P0)5QZ<23L^JWz z3kzrjakg8v)UeAe`&((w---)9@k`&atKaeJ-wB)FN!#v(U1wZKoH?*X>0VoE_08A& z=4*XFx?;9s8(pEAXvUBB_6{TZ@T+}1`=Ie)#(hp+yW{V?Wkv6);cJ5P1S$&D0`h@# z3a16-^OBlnMLk8;NY^ybHDv^O){HP^f(N`iS!h`nzdnDHb%GXf!{h0a! zp*k9r#hduMMa)#qv;D28*JTt*S-2Ge9;YCn^hB7QGU;Pu)`WOB8D_+ED8|YS z@G={+#5+~u#Z-B54K92O4^fNhDH(1pr4uoBtLfl%4H}C%N@9vd6iQ;n}fG@$vZ(e`6zkhcJ_Q-k%_SXVjasB9u>(@Wk zZT|EBd;RJE-q=0YiDhK?Fny>+3~SIMYb?`%C~Ca;8Yi~Oj4Ib6ipB7XRapJfXsejH z=m|PbK0X}0eZ6xJcH#EL4{VWjz!gS+$Q<3U?(T+9FZS==T)+Rr#hXunE)H(qJl0pd zIeN_T?VFQZz!-3Qvmv`~&SNqqm_b=}cF76Hhft+5)PpFg$JhsoS z@Y-xXAXcz?G+=gyOm=`4K7+}vHMrC|r&4Q|Y3vd}1uCmRW#g-CT&0zxw6Ww?rp(HG z99c3eM{eUQ?P9f4rUm|V`&1@B5VhH_G5d6ufYA!Xud{emCYRdi)Eiw!lgp&H>s4m0 zL@VRVSS-#Gjl4i6;Fq!ZMbsj8j5OX)A82Rw)$s;OMMF8F!AwzqmZ&dF(wnX5%hvQ~ zY5FrXgBjYvG;Vj|LgO=7`LA%pB?88z%c}}*``3^5w{IT8hgbISzRtF;kg27s%Od;; zd#a5xTtV!}BDSS0wZ2?#`I6e5z#Pip!V5)HZu03qe$X_ddj05h#iu_V^GRWnzO| z^cRtdo;dNeA&BYowjht9_*n<ioM66~5WSohCt@V2 zbCTRSQ7KMPiRD+#2&*PVRg;n`w7d$ZY#{5pMdlHc6K=JQYSmDgU`WIn67q+HqHeCV zo}nlvYYK_F61=_wYskjwe@D>%r)Bm3wj_J8ASj+=LUHU>g3!Ap)69zqC{8zw-VG-V zAyEhvl(*2aMX&yQVcy>h3cll(ykS#7dXYIY0pM2u)zG1B0E;>(Ol5q2q zp=4TIv!H6B8oD?(h``Y=arKCtH57f$tTY+PPn(itqLn#VZSK4wpJ2)-SaRm=nOJAe zoU44n*|_ZNrg(?wYY65JlD7+!Y>lYa`c>ghNwA3@XyB|had%p{Cmq78UfKPy=G}<) z)rk6RM7i55*=po&me4k8$-e$&{R~mKOr)@vu<{kSg3vFUZI?{csZjOC*=7g6jSa1U zSEiLc|7}@XN=<1+V{^~K!ivLce|vX(7>l`#79oSHX3?$OWj`OkCLwOC$Z;J#!b3ZW z1G=d?(^R!>s@x5@Vz%0kZ}Kj-3n%L4ddo)J%NRtA!)iP_IlI1j{r2teKYsf2+i(AL z|L*($c?#mm5zVMRh%6${Zq zMnY5qT4XbH_qX3){{Fk;cOQ1|AJ&e~Jex7IH(&{^S)!ZP*zVft<rYV-O>G<(>EW^-hDj#@agF7hxOBQ`^J{m zAJ7KF+VHx5ZPOgxwr%dZw)Wgxaqm{#x3%xz267PGIgG?l*N-kXPp@Mace_`w;@7X^ zz<6;NKfm2Oz1}^!iXUGco?M-rULPKuZ*T2~Lz_Nd#N`g!oj#X06o_m_x8vLKqus-^ z`03T&$>k2%=M!9N3W{R?`@zB3Y}A`v5QqUfx^O-n>lhbOKxV$ zObn@sCNWaPMvBNt1|l@k#J~js01P`<>Edg=V!dBx^s2xmdmf|1Z*>K2?vTY5GP#0g zSIFU6^LjVEo(-3M&2A3q^lqWbM3E_$L_#8;O=Q!SNdz()MTZVE`#X4pRidFh@nDvC zAWPhzE$s(fk)`U(RQIK;`_ohdshsYFg{H3%Rlg;SRm!-tp>^}desufnWasYf`pK<# z^Tg_nnavK9Qf%ZC<)kStx}O4Vqz;wS26O2H$xLWE2bRr8<^wR0&QvI7Yvi-#a!ipN zohL@+2`2Nn$UHu(M1ZaoVCw|fT0ZvC6__d>x`H=d{^*J_$yBKrpv7ddaH5bqp2vb` zg9V%;X%uJ*WjKj4oIo9ZNgH}e8+<_<00JB&&;}E!U=k<;pF{3{353%3^2fSOQqRkk zo|ntrF9B36b%CfLcD`8bcuDL?0J6}LFxT-C-SK?3BN5k;_SqF3pev?3(~w=Mqg|;} z@R|j}7@bQ}n)RN|o%rpi*u}f`gWJH?na#VY*1Lql&+9?NGL=N3m1*>Hy-BFjvZQi~ zP)rp|X;L{&p(IPBOF}V$$6w$8uHfQX9OC2c4>Dg&;fcr`A(<_tb0w>MIa{da2tVKc z5Q%i+A6x;7LJSsUf=xAl2-ph?hy>id^eN!>=ufRGz?lA`-{xmjJWW%4MulGW7oq@S z)IQz>(R=hpP!w8=PxBb1$s;qk#5%iJ=Md|`0I1Np!sfuHJsbm3v2_^OJ_>Fhg|?5w z+W>?>d%wqP+b5taVkhC9-$Pv|DVMze=SSL^-g>INV%btmu;l`$m3e0x(Va~4rjh&wM1SQ%pnf6HycBFB2RrGZ z9#*8Ew>BtP8x*b$i6X<|b*LmdBHile2iq97+GS-K4%}Hg6F>z@S%6cOF00GQ`f`f3 zg68U65+kv5%M;x^c(rCM2Xw_4=n5z3ihMV$&^ub>MC4j0GmSH;4s?!xws;*|9mP~_ z%v5foDnb)Q9(ay*B;5{8bquAr29to%KAdWWrddH(WLn0vY~$HZWR7b*$1##&9Z0eD zCi#Zb*Wo!E6Q$niCKI}khZ#qraFr9(BqZmXN!}MTf-lkhgc)w;466XeDnfEgVZyR8 zQ4w62Kh7_j71h#I9a2-j&N8YuOc=G(CN;*a##+@#y{cQRtXfqRF3a=gW!clxglX9? zG0OjSPV>KG72nJVb0%5MlkD*s0R|9OM0`q|oVtYaeagLMkFqK>)Jq?xZ?^cNwmXqKrE;mOZq6 zf6~0$E%cWY4Vfr;){Fw&`W&s!p4H~e>2h$!>^WQZoGTCKDaSkO7j13Jj&5?GpT04~ z-i8Xd#^f6#s_39{tydB0l5KQK;_broPVqHFemkhTA5dQQ%J#ZNkv6Wsk>Rabad$77 zrkA9QB_^Lp5E7>(iv!Yy9@$){9MdM5ZW2yabCIREuAIJ-q|)cln(~WB+6U$*hysSx zX?7p%9Bi#c{Vu0PulDFAYdY?pj<&0z?x-o-DpH6u?OYl#q8n}KIv2XikE!s_)dm)t zJcL#uvK9v^9c=?$;k25LPtI>{9^StD{ii2ay#M|`tkwLvD}Jo6_@7+?a`$-|m0=-PW7;>t}BkcMtuM4QFuP z5ni+}EZde=16zB*6^C!X-?{i^^Z0cnb{J%J7n=DV**#g`KLxH>+XvVQfMUj_bbHi3za|jU`a?Qj$lwbay&;n~Xz_+@{sl*H$+fWh zaU4k$xZ+@8=MW0GiS93K?k~o&ytyBV?r&@zMAml~me&1&CAW9pH5ZJHTn~9eOTneJ z`IU`@NOW<1JJvjWGqAkwUtSNatbcUHDpaxnwD2u&dX_eAfhD!mD=^tudJ|2nBdSzX zt%jx7^GqhO*(^6(fh)8oyWU_k>TPC)=DbWK|(BiHT=}1B?L7<)HYo>T0+9{q6&o>Z+CX&cZmD=d?8MeyFSKGu|lU#39 z87+FKLgD~_smfqe8|-?c(_(U4jdLcw+n{mDRd%-0fS0Q#q|!;TU|Pr_QiQw!tQv=?s&}Uc*yCv$L)B) z?|3Bad?M<4DCxc@?YS-LyenwE$8CAQYkSJ?$mVtBu{(3l3Cv1>8?J z+yKFY)c@d$iRy%js)Vu11i%R>qhs7&gGlG}GFS zdV5(~Q&}pqJf#Kwvab&|NgCuSM8-L9X#32+aXh!YHxt~{+k+CNmC2UHT|sB@S$qjk zsuZfUY?+cOl1vMP(?SvO-jql@&gTzvxPuJVAmj?>AeAx3U;|VTI06ETho^Ikr zKxK&;966ICXLIDA_Ee}op+f!flm`@TJQBW6%!e!yj|5uXFhB=LKL)bIzjXyvsgM|z zu}a0~wU2n2BIXKc$EHeUS88UI2B+NMlo^~-!;DC4C-M6By*)U1A#tdsSaK$|<_P!1Ez=+M% zHm54v5{(@<9bFH6-7o!JFN2*~q0VgJ3M=-u7Lj5=BpYE#7FePMo@_y+S)kD&83tU2 zuJNV;+FWtRiUY2=WoSq@)~47R(q@rq9_*dj*6f+CN@X8*prfm>Wjwu+c%_;0vo_ja zwNt-nB_}i!(s9Jw80tef>tO>cvw@mYk59vp?)P)DDAF>K2CXsl+AU*l3*Kv@1P!Au zHCiPtVDTSLu`~J@*PE%oZe;#-v*6EK<$v8Qxq{`UA*qj0v^*@Us*#`5Bu;IT{j^z` z&?3oc<6t`|%%0A`K;?JC556D2`)=y~CE>w4PWJbTvVX9^-)T_?66^}QDTr^F9W1f7 zzO=TzFtKlAlG5BI$^_mm2I;DqkB{z*zBQ(rF)A>;v^%Ga!#LkaEm3}Y2h z*Fd+Ux!xAZVy|vvY-XS6J0k_pN#Toe?=e=n_=;$M(4)NDEzj(fK~qsWr8m2zx4IR# zdkuH{?GFZKo)1`Z2XwE7^o8U0lIgh$a-e|~!t%pS(lAaD#A^Hqb+}HtRw>x4;vdwA z_5dnsgpo3iFQ0DBBkEpFYKn)Hm?6>RC|xlzsT%7Mk6<{16}-U;;Xt)?u#VMHJc)hM zRiB0^NGiUc@c8=m+83|Jumftc#w4)V)J})hJL{bFxMzGm>*Abt-6h?(b2kjMCB?K~ zFzlkXTE`o7y~UQkSI)k?xq%$_K>qA-p?#>B)11>^{RC6;lswvPGiWzAw+{Bt&M&@w z_x|rM-u&JFuq!?l)58c4tX&j~NYj=;$1Jdo6viO)KSx z7Uz$@`~A^(zuSNR{mz?j0SQ+24#VqF|9aFD*>FWR!aE1R75lG0?3}-k9>0lgt~g!U zIbPm^wnnV&oovL;cR)EhhmMgRT>x6F?4K;`9QZf3X6Bc4Zm+`OQoB9cKtLY?t_Y~- ze45!g5UmqDS$WK!pgl0}nuo@mK@(KB_QG5H^V|E-O>{4`z8hNKgJ=;wScx7+whuSJ z-y1zxT7%Ad_~#?O@QOFQ?4Mr^EpN<6wg4)?H5`csfl{Dmo2$O%h<{}bqQ&Y)FtP~( zXyILkx>#8JOUfB9&tPThfGZ4SjfSq*aZDzm)he~x6c!ug3Zor}La()IwN{nJqEK68 z8mmNO6@lkljTMl9r?zpGR<_c@l$jV(BTZtUenJIVq$2`X2zAo}?G#@-$=6Ns_0vKl zUSuYStt6>~B6l%VF0R@vRBNSLwNkIs8jU)mS*0_|HF~+)s8L%CYP&Jk|4^%*k*V!0 zjRmhYOaTRH)fA0_!RNBZC%Mg?9C$suK9^aO$*fLg)}*qkGuYMX+^ST5RSNVRUYjBY zuBb^GDZA0~>gq^i4wu$raVnjmSmy>*Ln8J*5p$o6xlhGBpvS@hSM)t9<{kxon~b_eLfs@G(}{>QA|i!| zNCK`PLaw-mufH}`e{Hh%>O?G)b>Krt8XyGN4MM|@Tv2sxyz1Im#kG-gkn5vm*GI~( zjg$dk+!!lQ8m&wjs!r*zN$ao9=r6z74^UBZv#%thrzEYdB(MjWOMo%tN}Vii(#l(!Nqd~WUiRR77`geB8^L72-i=$w36dY*cx$>hc;=3uJ zd_)D{1QdZDiqH_}gj8(&80p6*S5Vt433&V?FeIN*@oD+v(=JVi?o+f%JA?{_RjGoG ze#B8B(K|#syFd$mt1TR*37|r3n2}rDT4%uG1Nh%?FK*5)MLo+~;D4Xl@H%jXI|Lmv z^+AV0)}fKO;Z@JlR$%ogymspLxGj2)hTkq7%;m$rX65}6r{t%+>aPU#$%5)+L0OWp zEJX&pqiK1f@5#}27OC1Q6|J@Mjw)$Sxwxl9*iy^`u0T}wG`BT$<4eb-)hs7W6+s$y zkjiBM0~l+jnrttdv=&X+i->bYjBp`ip@0<5n+oQP`Lc%G&--RxjRQYKI&_C!ro$HP zCPuM{lmy}6YkBT^j;)TZt6|B?$kMzq+0!1y^Fc+l1wiN_R2{~%gE%! zKqIrWRNnN^io9k;Ct7jo)~34_++7R$t{Hh(kIB$9CM#O58QM}E9e2H*PyL8r=Qq|aZ8#8tVH~o_)(jPZd{<4wyOYHPD6h0MBy;IM+TgytX zrX*BOC)DFpTj`l2{1;StjYQvJvX9NqkOOwkk`?dOHEJaVO!ob8YHAPpD;(ihXxiUm z1%HE6{t6@e8o^7hr)D%z@4%T4k(^YF=ogKOKWx!`(W-jVCPB3GC|yJD-rBbV55F0? z_jcmmCI0?<_RH@TCI4V;c&9@i$gr#2<`AJ_cA&)4^1|Hu+}!re)c(ZL`OMS(Jkayf z)?1?Jg|YhDhQ|n4qP(2ptYq4%SmtV$zJjVQ#VgA2N)*@CrCuF(9O38AsKGa^rEl1g z58Tb)(pSIjvF_G!g1HmcXT$o3eX2XqJThr!w>Yy$dbdyeV8HTZ(Dq``lrx~q8`9^E zTXUyfg(Pn^J%D1*HwovP<)Ic`pivh_C?mC!oodl;tvFgIS+C;H7c!h#L|yKrylhn5 zFv#x#Zw7`Z%%i=gk!Hm(j5k;gxni(JGSonBE9`2xS66hkA}6u*`K_Wyk2`A6ydj2P z;+s==?MjzHZF5*`0gr8U(Y6`T?aoP$9Gnd;DI^+kGP-PdjA^7s*HdWiE0`U~^9|;D zhVtFO6@x|G#_ay8$C%%|D#K{pgAxZQA_2WAlfd6+b?R z8W+XEWtM^q7Dd4i@~@PDhNKi578)hqO!FNN4gL!F@j7~Zxp8#9yn7Um?s``@?4bp{+oN}syTBDo zz!h7-6-Vp4$3Pd$n|qKSR-^GiqFCQq+Spy(*qvY729JDlMI`QuU<9CIBeb>&5_bi7 zhBW&Y6%G$q54nP_Gf=cTroqTFTf}y|%xYI!>{_!OxIz~@2BL;gVU{XQVx>tCD-m;5 z7PiXDRM{9xD;>P<$jvmFi7GWxBnFB^PZopdNFp6@1sZc3n^6d0yNrfIPmFR>A2 z4zj{YRm`xU!P6?SQm)XbHF~|)U{q=Ka+OxD)TtCkox-eFShY%naXMO-|A-`34THUL*Js&6u?l9^S&73u8iG~fzeRWctuhu0(v>yqg;$zv5s zoux_RZH0W+fYqgOh3Dp0R(#R@@b>BQ?#0Ib+s%Xbn}@)V-z-Iry>sh!z278P=me8W zCPqrE5{>2Z`ycXq?(;kD0au7SGv&Rv)crS=J-6i@_oc0mC9TiJZ8@U0JWlINYU>k1 z%L78=Jp%SF0ey#rzDq&frK0Z9(D&#VC^YmPD*84Bok>C8B%?B*Et;rg5;Bp5NFc(m z6Jb~J4PQ^yeLYcoWuo@$$y#uKb-Ml~DU~asutij;`IUslmd8=S;V2XyHR` z0ipo9kQkjRyH`IO0;re?Mcgq_fOwa;y-QmjV2s!~Q%`IuWDZ&xS#^e2<`$#=mBUcv zbk66uTcifrhJAr`#&Y75vIXZgB#yC{a>(OWpWT-`QUCngVvW)d? zO%+XDJf+DU(iV(sO33O;j;cyvtP#!BO8t#|!vKRxBKGly>lAHI&4{ZOWP%x;YR26% zV=~R?OcOE_@Icd;sBHP#(2{I#y*1bV(A)mR*Zw@v@zT}&(2TvQK_+UEH*|;_dPIU5 zkz|Lb%)rwuh*Ui?S%XS8pwi5!TUPXK@U0B+n>tv!0hVNHxNe0fxEk;KI`U__Ysk$= zII8&(yyrS{>?dgAA7E&If~NcgMf?SVbPdMHsOR0T<7d>eQ)(GE8t7Ls%&*$mN&Wn% z)6xp28Yk5cm`r51Wz?oah(s@^ski%y>20J$Ecph8m57xjHENTw$`q6!6-G;kQ!?SS zy9jy;it}rn=r5Y&SDK{{T7+e-oYBr9Q-A%@*wf32hnG_iUgPh-p+9{q%zLjcIg{7y zir{M;T$ortH&kM6%eJ(?w6s4rw?DOaJactEo9lXRfo9Cr@_KMXeIxK8R_=%@e_WLh z6h}~%Q8YD7JyKxp(JxJVPFPFd)532_{&Rx=gtqvWyYU@oPG&sO0+!X||k6P06?vHOA{1W8g<81w-A20kmNdt{Q5PjMR&U zY6SgNyxxj2Og5(McK)-g6|e5$8p;Pc+UetD4MXLX`{$H%PL;!^Hn|PDkWCqxm9AMi zYdX@Jd@RWAnISdl$6(sQDs?x&bGErF+tr)pAI$O&<;@Kh&Hz{7vid3>p$i|8hC0nU z&H8$D@8In0^1CE9u*APg%oXoru6PZ(;_UU# z`MX`9j*AZ`m)~Aoesgy5%^_6K_y(G^e)4AT`10WNjpf_leRf6U@LT6>NJJ%%!z+o9 zEAkAzxxf{+{@j^?Ty6Uc9{Mr9<}RhNh%?+QW)N&<<8oy4^us?KzW?3s<%iAFchS=~ zQ0MTIi}l0PmA&JIox|nblgPpO#?j>_a8V3JfEF7EP($(!C}*3%6^G|>T7Upo0GUMg zPZqWh0_#w{!Z7Cru29d;sy!a9->3KcO@6-_#OJekyin%67Prqj=XdzS&hX;g(y9*_ zU}G!1wY#vjx46B(w7tK)1yBKHb^9=~bF{j3xU{(sAOQj(v9!6j9Nmw97F<8lBC-{P zRy{U?P?=&QycUh40>lqou>#(9ZJPZ{iWv{rU}fpe484)2Gq8;&zQroB+vQd}bS}nZ z*BWfv&#q8Gt`L26g^8`S&{bBd$_`$KC<-e@ZlTD{WSNO9HGq($da^`E66=T}EkUHk zi(Ze79X|V|}u@IzIqRdW~Ss5||SE>@p6u=T1ol&PZtF=a@+MrY!G)j|RVTrlI zs!~}+Dic+!AJc0_jVgj!MYk&1avp~`!Ru(}p=&v?99GROc6BPJHl15{lUJL;t4-tA zr0}YfxmAhmssw6v(qs*IdA&vMuU3dB-9ejoIp~e7c{lcg(c{If)3u$8wY@iy{kN-! z?-w^NgA0HbyAIQgUe1!SJ4GZUf2@?-`-0!|Le%|2()B{t^H|Y$U)6s{(R)wc^-$XJ zSkm!S-0?!#k;UzJ&ggth>3l$GyGLocOKG}8YrMn2-DTqLvKl{z*?60d%cNm%QL)f; z4=Of=f=Q&H6DX)_WaQUm_!T1T3clgWRDDbopHa~e-+GaNum8an<5gG3Dt_#W>yRtT zfh!WnE0RVllZUHQ2Wry$tJ3?*(|e0E`bskTN;CS)Zg!PrG?%5JN>iF(PrBO6hQ=Cc ze3H^`nvHC_BipX!UFX7{-nl4N&(OKbxGRWsHj%+0vbY2;f11OaU~|WqoDmj#h{+mY zvIkgf;EEwOZVAzn;K>TH$WG1zzivX2Nb#F6Dp*!cABw9ntF{> zrMMR-GPgW|U2v6^cTH54uEN~cx4lre<|~>@WKEUowsL)UnW4K>*HWrMm532F_{Prm z4pPIAtc+~Q7WlK|izVVf1Ah+1okehF;Vd_dIoH6LtE0`;(&l309(-j?Zz07E-n5o6 zf*8%tpyyrB>}!-JTEh0fqRtjk+@%zE1b=WjZP)b?+X)zwH>Uv>6+P_A4EC14?WMb;l!>iwY=C9eG$z&!{5g#9@8FDo52yVBocteQ zlrQSpDRrXEddbataRyA32;=_>#`;ME?WaiE^;Y(SUVibk3@6Zx8O?nfZ4I6Ou%D38 zHg&U+coRdtjp04ODIPZ&AK)~%F`{%NEe%1=fRk^+Ny$js*BH((al(W~!JQ^G()=+ zpF7&0&a^)@wdbolD@C2i!M3iN)~UzMtS24Z$322)!;)gM79p~A8U54#J^tq3sgC}M zv-Ta{cRb?UB8JX5>mLN$zoRaGJK?_UG3{feOEpYaG0{+fSLRMjvL*yC$3!ni#4m^C zIpcdtqGS-mgbBM z_NdfKi_SWuad}jMIn}INZJSl={2JMUj=QEOFU!W}c|Cq=vwae->8}*Gy%M+PN}68C z8lM>2pyeU|zzg4Cj%VnVbFheqec4z309EjSIM8lVt0R%k-TkxE*S~%J;Xj{3=S;uZ zJ%hS%gX`XToDlC1F24cSm?b`P;^@tXcn)8Gd-xi<#{UfX66ni;D9$dSD|qDc!@=c; z)7Kv^Uw?ZJzVHIL<-^YD``webdna!W&)?d<`~62({MY|$W$)e0j9*A5j>9S-S2P1x z$9$&5u< zz^4}0W4ZuY-wLls=VR9&xgt8Z9JK&fIDso{Y=fC)Ffj}!j>#gl+N5@e-0Dz4#R{9& zVAblakSo;x+7(QtnXI%DRCa>WPEgoLP^=_{nIt!oWCo&4Pm<|K5*<;j1tExaF_PZyd~T9<6MiEN@>d?!I2wf48vx&BEq~ zrN{@jd)c5PbJ(Tx8mUcgpbUzVwJrQ<3 z<#j({_daIyK4f&=r+40EwB2E~-C?)f;exb&47(+h)qIQ5bd%ncMr%x=H73z;2{ha_ zD)wtC`YS5(OETh1BK#|S!&O4VwOFpl%M`?zE2itNe?AW~UitNC#n-?Uqvdf_B!G-n zB#g&hQIR}cmD*pO)>oOKsAy6;{3N~NC;VZek_`(NNriewsV=MSj;@v7@C5yN#1hKuB z5);%U^OGpzk;`J7P*`P3t6UlDX9W_|g+dB7sZf6IQz8FYtk7$nAUY^9SE%hurBw!b z)xwW0e6STp;0mtFEYdsV7Prn7wE36aixOaW z8o1tiZlInMXkdC_baw;YUB~j&aD5dVUoqWNKz5h0!zj&mxBE?-6`5MpO${PZ1-qhwePzd_`&*uR z+6n}i(%$;2@@iyeZO_l@3ICyi`R^NO{|-j}Lm1^}4eW$^VMe|5CQN!0Ax(q}e^JN& zqbkZDSCfAMquszTA9wL9r{!&YT_ZTYu`nIOf?;HYkh4#Gc0zo7Nw|MTd3Z#B zyvKgF%gNv7R&Mc-OO#sgXsN9$-`bgLY0oydy|e;av_H4EKQng}=sPPEov`8NmMYZ1 zy@si~7|NX%_PriaK0(tUv~?K$lfFIf=5J*O|0{Lj-GD9Hrdb$rY!QNIwB>ii;2YqI zLF;jwdJQS`*Rt%@EMpZ@Q%;u`5heMPqTF$5-n6lRIGa!LWiz}l*mEyg?tF@;c-mKm z_aUji7LKn&?CVf@J51gdvlnadBD9`5@k|v}UpgX14YNllNFu_hYO-BDSg+|S(DoE* z2kW$BIB|aiwY6{r@wlb(VNJoqoM(@ka2Ot+zp%Wz7+wv`gxs1rx60;G>bweBNXA~0 z;@8B3^Q;aJ5#t!C)%TXk+6sUi1em8n^g}WFp0??Mz2lL$_lb8P%R5{!J6y!aWet=+ zKo>k9^tBn3isj{vt-aIZ*T22|{(nAs|NH%mZ{w(lyCRN?7#^T}=ERQ^|I}w!?45(J zeFLH5{LOC66^F0CgIw|E!};sDE1((cyQlABu6Sqv{_o?@s}KL{|GBh%X}8Y_iTH6? z84;Enb49+TKi}G$XYa{XwY+2^pNv)Cr*zbasiP*n$`=T%?;M?e^Pdi0|6TOt-SY0) z`r##T1^8jWPqG8>aP)c|&|>#=Y5OR$ceZ(S8F$4_e5BgRo1Np!ZD_vg`DW~3NEF=1 z3KtuP=aK!B#q9&{%DOE$uXlU2ZntXIsh)G0{N9;)Acw`dg$2+2{9G{P^!RKpw`FG5 z;+nI%y$*lSv$zu4h%RnJ<5So6kJk5()&MZJAy>qz7N1=K)iL7RJb)-ZZX(?~0gpgO zNTT~75HL1(7dCe0Hy~gDR0LNyKDuIM%Mw^tIK5nh6>^2q%ru&~=8vvWSnVqFCsgRH zdaYHXu_)CRnaV5y&$=ozcphe|tYoEaN@>F@ZG?Cf7J|Y|kQ<3|$Q4AHjwsaVEM~j=M;jQ!F_T~KcH%r^U zjcom+HxM-#j3OR^NA6*dA{kvJyq+>?U%7gqLe>9D(Vr#ne=O~TCWDB2p9*`P@Vg)L zx*l=5AF_HLFnaIPyYA9E?$FyZnXQ@Z)=W-oCN~yv!*037Y|dabr_-BKX-&zr#zb0U z0=@AX9rraIdxehviiY}%g1kzGUnjv6K8FYcuDC&{Pr%n*{}=U&N|0+~71u{AAW@7} z+<;P^I98rCQjt7RkDe2Zqh zNoJfDKXL_BuaH8tut2U*S^*N23XoWXZkYw3LM8v$rW>kPs2xzHLhIB5RA^^3ni-V_ z>VhRzSp*6*TW$oX0JMmsLJ>Rt0WE)o*E}oRUg$SuH|C1n!0HdK2m)FxZTT0X(Ef_h z+H7dm`LSNH?_WLfEpB+jLHC?V%j)7bKO_|Vgi`c#dg*UiqZaOHj$tAi*8KozoI&B(`R#` zDGz}nR=9w@^oqS)&YZ7h1nYqoSpG`3zl`NCp#=)bffB|-jc5&_*{xSbO9YEqw7EQn zr(6(*D_3#al{Vu-k0sb+3U+HkUGh+;(%-3Zck1mumbn4v!l)-YT3T9%fT0e)J0;MmCQObf4DU~9PHs=Z;Wy>6<#s;{|bs!Oysq}gD%%!pf1y#lxbnWREo)gZ6h zvFX0%N8Xkk1+I{QtY~V0=fb)Z8t{JsWBdt>@;|`|e*h=^6^wSJfs@?8PlE|E5Q1a` z?+X~~&l_le)7a!Pr4 zLVtYBdUnWtam0UhD6BjbBi3j&zOhnEXTGI9*W8+IZhdKOe`)W`a&~7sdW&p*Ri=K# zWJ^;Wyz@cT;9Ugab~ER8kL=l)@)cQA!!_bmfj;}rnER|lzkv|?su>Q1(A%V3=+H%4 z)oU&C^(M(0PP~K>h0r2DPUdY^xf_);Fut*pswyI?3P|Q$vMYz`%Vh@gxS;}WsE`pX zA_preArv#*!Cx3uE{@xl2>zw1(BhzXq0=?rteeHMG^jC7#}JV?HY%U$(M~jKhikQc zMVh`6b$^X|5Xo#U>#KcKpL-2adcOr(+1J^_W$|ZSzQeun z+r5wVitkQdf4F$_ZQK<*r{8X$e6w=`Ue;g#D_6{Ko>;9e0byzaR!VHh5j5rLdJD|` z1-8CdGra|>)*L44`AGFcS`S>wCC<*;7nWC|2j_8DY@NJYh5AukY#u{PFwkj~gIz^9=3@4LrPtIWN4tIWgmc;O-%H^w0ph!$IW{*OL6GSQQXN66B}g>{36vNu;sLaPRz~8BBj8FFswqMxL!{)( zv{I!}sWyYCpaz~6t;S~1I`rBZwbm}z+IU(ML96N4$oh1Wag&T>SI{*)78B1I>fyG* zIp{o2T_(3ST?osRpzg^r51^InmPbnTZGK%crSuB1Dv1EUi*L*l5}R#C{z`OlVQU?l zbiWk!tn7p%`>PwrOY2AT>qo)$qwxCq!us3g_3!4q>ju49#G~;@gRBu8t)qg|RUzuG zkoQ$cdkZDKIl{hYg5KxczUS<|=d9jmtez)~?nl(l2c-79gw{+#^DScIO(HgfjLo3o zZZcwFHbP;%NDek+K_uWr@9|iJfIh9VJPfMM<5n z5_^hL21+xAD{l9e-)t*Q!xkqu*4=As%0%Dzl$L9|oUg@+R5BX|@p05)xQK5=%s7OXwU4 zi!0@Dqz^~JRFLL6C1QPLwy?Oz7;(j?@_%mYR z-%<*HO)L76lK&++``480-v~+*HL%;3#wWU_7mB7_X;Xo`DO=h2Ox^fYi+QO>nJ)_O$^Za${mDZWPKF{8;e`_MRKILDZcCSr4)+g-C zqqgv%#WQFN49zT$xHcze{6wpcZenqmt)lL1dD*Ykm0#*%H_Vt+Gd9hHO*dlG_1Gj0 z=DHH|l@4{?gh;W$GVJJ^4qT?ACDYcFVaBBzFi9G8q7r>Wj=HXcCs^yRJ8Q1ltFKyW zzBYktZKAy))egI9f!_qK&;VDUlGW%0Ejj_X!qa%)*Yw=blrO-QjiVdtk)8M9_}{=7 ze+ei5A!6!3Ag2BtPW%E!yAER|!`bNwb_$a96_WYaD8^qQ89#?Jzo=(jt!HI4upYu$ zj}XkeNJa*VmW-w+U|3(Hxz{ng6f7?j%fE@?Ct}i-r<|6Wv9%cMlWzpTy z{!Xpj6!fm_?Oc5S;lG?5o-c=kcB9NG=Xm+#5Pf`}+P6e*T_Iq6Bek}!5;ZPc-IS|t z$y2u#$Qz%DkoR~E=`uvR7L#FXx;fkZG%!*SoUD+w<&RcB!4*En_qM5}Vt;5cvUPCy z`n${D{+H8l{{G!QclPiwj?jFBBID7kp zEB@*K2(2BMO?JWb#3Za3xPsr5r-58iXzMR>_7$ny@|mcY!_`k10~no*6F=-rQLl`WYrq-8@w)y*KPBAXZ-$IpC5?A z>ks;a;b3@Seqm{GWo>zVb7gZI5CXCUG$>?m1>(f+Dqu!*XEh2QKUjlWeL{;J3mdy2 zaa{mB#B~t|M%);2W`M^Rqx*4J#F}D3n=3pko353pF|a6e&at3H5M#_0#+WNCQma*A zv8as};0nFLW-{0<#u>A5#%P!^7@?`ETC+=KnH3sb42=Vbf(XSLbA=hW0xvh2%;iFQBp)omQ*8<>m>@KOlgv<%u0<_t+VS4PMy)E zHag`-C(mFd=yd&RMXyFSW>OIBYN}4cCWPIVV;*XnpPJiW z%=Bg(TOWzx>D02XW3IS|Z^{-DTkR&{%GS!l)`lmt;h0}{FKvZa_aYm|%WDVotGmJF z?a=Z;c=>c;`Sq-OMX$4nc^n>Tj5XXsZL4N=R0%pOB|R0w?jn9q9;f#us|V_?N$q<{ z>3dG;eMatiG~Ir0qVd)!I&Bn{HjYS}fTvC)Qi;ekGAf;dN~faJX=rdwBcoHu=wzt7 zCOVOfNd&r}HzqNmB(s}RKv=j`CN`ChhC)Rp17MKhiNuez_~ASVzV60!UE*|I(o}8o zB-F<2QL09HEG7VZ*b$1yB+Aalo$!$jV1lK(1Ka0`V_MOZ za3r`p8Qvm>x2fS>R%oB@-zLsQCTA8VoJ$k4YvXfU)3YI>(?qrNSey=iSB|9k*UIuQ z_4Nr>OsWN&YQm)&aj80Nk{W$of%;m5NHD-sEcF>yM1~EUVQbE?G^UwwDFz50i3;=$ z88Sf&yKb$!=BmExsQ%ho{j~*LYj4==Q|t}tW>|(Eo}odct5GQ`bfN}x!-7e3Veh!H zkF1SZnx;ZlQ%xJDB@Z!{0wetjf&WwFwk$;haqr@|RYNal4E`ztgL&>{iFN=7nnpqN)M>|f!y zzriuCjXi z#>>4F7QK~Le50t_VO9pliuG-I##Z2p97|KSy(8DzTi_lp@{CsaC+d8Y2u3>!Q-^+9 z*mS>UG!x5C>r`iSif?vuZg(*s4@$De4f)gd7bE&dy|Q~9!iU}B$Gy_01B#b}+MFTN zt1(9<#RKPso8-$~hRD#&`mi(7t_z?5yO#1bG@Yb3Rv@HytNA6dI@K>khNIB zS;C3d2NgSH>z;6aPq)9PIouXT*Qm=&1n10@NH{SuMjq-C47cb;(8f`iezaCMQmO1O z7j>4go67oYo>gTh-MRJCx|$p|gBn@dKHhu#=JfmT-~Okg?Y#xB-J+&DL{lE-aEQsYRXl$=1Z|p1@JrU+7vM?MU4b5O`q+092_Z_pQ=>0 z7mU|DYbttz?`>5|M83d$+!e2X_rIKe`1`{*-+f;G_;0O%{2NI8i$8hr`kVbrz=^j| zF5W}?HZNoQHeY{xcKPk$IY7mSt>bUDkKgVbU;fw?5B}+&{VO{ry_r8XI@M4_hGh$y z^R>N&rv74Ee~GidRNelHfzBDMea;wZHfn^+o2#1#hd@C`Z-2jk`Th3kdq@t4=j%sj zYey%WM`u73JBM#}j@|&n{4kFdYRPpG-3P9?*gbl^fBNRBDtyv_Tnkkg&d?8%|`=1_XGiG3h1iG9zBy-%mw9*p5` z40=FPldyC=Je>$nCn3_w$aD%aos38&K?h5diHIa3GKqvrqM(y$*c1k^ zL}MDOF`eC*&cdZLvFQv<8gK;-l|n%zli?pr7Q`Q&GbJ=65gL;5^(pxJ)M;q+Sn?-V zBn*~Z?=8OGS#%ws0&>Nxgw9t9J%vdF#c9K3w|Yx5T8mQ9uM*J}8Cdv3Tyypqp;@Tm zI2QwRt82c<0dR#QxD6c%QCZ`z7^X0W$aElzK_V60k3o>&O)$7)bj}zc9-SL&(=8-2 zp-KgrDWWh%RHlf|5Hpw(7E8uq#|D*t0tS!!`6gDx0I1-DsD%O$jaa0Wh;(sR{FoLW zT_OMPaD^%swOtLN!l8=KuhGrObPh>;Tq$sc!o-R-)s&fBT7ZgJ^DF24`s~8S++x(b zyyaWjhPG9#enJH#&z;~WQN$BijQXH)A#0wct+~kl+{STW^JF1)MKA2o3o_txzhF=C~Y~CrW^@6SAZ&} z;oy_49eq9HxKUaSQCvb%l}xHihE#?9+N>e#qtV%i<8#l(T-hUz+)+o)xI25&mow$h zpY#?^dR|Ssb0%kBOuC*;&psu(pHSwqIl*%I3f#EWXx(nNM|&L`V{_Y-@F9QooV#?w z2P{g)WxFVN(#(3Be}N(PDyave?i0z>%)hW1M|^9v;V3Y?qVz|E}XW!7@i8<uEFV78;HMwQGSkO{so5rGYs$sIT<;bgq{GUKw7`P)=2(MGvn7y zoG);KU!tXXjfBb8W`AcqyL@D`ex)TT;l6{odwGFq8; zIzr79{?{_2S@L| zfBO&r+xhqZc>M0S|5ggL~~;>Umf@RKWcL1M1hzxZ%`2^A~OfHBTK{5M_kzyGs$ zF>25n`4hua4TTg~jL#@4{#{ep)s|QDmJG-Iirhh%+TV3@nE&Jvdy}@~}KjiZT z1A%ZTxG+DzytJ|&+1TFL-rL+ggu0X;K!epb_m4LA4mWlV;#uE4io0TU`w+6k=3e|5 z$mguYj)W}#C;$};8++lko%wa(kUj8WaBT;;!oCpE`oiLwS>Otm$;>vJIaZ6%Zk0Lg zsu_pY?l9OK7K_7XnQ>TLPRp#_XXISMmhX%?z2 zu|AwLN|RG*no*c$L?4G*eWTP1Ku7_@%vhNO{LuWyS$n-eq9E? z;g$q>M}@m@Xnmx@-Q~klsTJ3VHK};SgQ><`F22>M<%d`2eJjh3@RHuMU=ObPm$z0o zjv{M^tE>AfOS=p6JAu%aClH-+%>z*BR5}HRE}ZIP^}yKORou>Een&31E0@!q%j(Ug z_vVs&bBKL8q`qu&|4VY;3w+1Z$;L-xsQcrHd*kps6R_J;@Y{HJCJ~-Vg5M$|Zj#{{ zM0gqjmWqc#-MOdX$#^&bMhY2~N=2p7(CKt^1_PZzhi=knCN~p|y`6xdPf*F~1pD zhyqkVRg0yqz`~|)VFMs!Zf(!Kc@&JEFK@q&L@ykAxnvwgf~Atmt`hQoiGTLj_!mE) zdihIY?r(U-H#Ail)`t5A^b=Lf3t3l=v^!7S^GeiR#BVL&VDed*VrDyvG1yC+##3o* zDo-}eQT0v=(Os;n7G`0G_+_`|X^-x4x8_lY@=>Suaj)(1p!eC3_x~a6K4aTT*F3=k z3(TO==o$1*_uSNVZg z&SHW6yze1xS4~gPF7U^}(a|9V8HUb}Z+M>gHfKt^Ii=kc*KU5=Zh72of86hSL>zuj zpGe`&WJ?xd@+FjFu|m0kv1|}055*goqP26*{4s5EpEkWuUp!!}9nlw;XfsaAn1m+4 zFdCED$=^vbzSk56T7fId!u920nu;)0SqLzI3>l;<3e~|POa)O!M5F-?)Da4yqBKNP z3g7`zL52+0A_A@On{N0GC;WyDe$xWGX@&YfrqH!!3qSpGem|8Q6R!p zMPWL`ElX*vtLCY(HicMGP*z-?h-kQl#{ask=btJEeqKTNmkQ#Q3Sv)$ zrGr<>27g^n`nH^QrGj;{j2m9Uk0}=2Me!q0%s>=507VH#F+$LsASB}&ocL`)_s?Pd z|A?agT`BJ$OW40DCWjz;BM|*jDB^82Jq*phh8Fw_TKc?nI!jKA9SOp`ZiW^lezVlKZT`Rv^FTd9$i)oa`G>Y#w zNMah~F%7DF4cZ4S`o}oKvvvd2Wo*EhN;GAXo!QjkZ2DL_Z8V87l0^6Q7aN$%9Gp+5 z%%n1>@`Ur%x~*>K32pq9VD3=4yrZ07kdAo-4lVcuA!N6SddsBk2pJx!z#vt4l(rMC z>n-Ip=d~i9p%NlssrQOtDTqoWkwu-HoB7LM{`%?ioTJ;(v0* z>o+^EE+AB#zTP}J--L=~LCY$DD~^ue{;#gEeQ`zXzx@yQ)UsNs;dJ8ric-kP1i{O6 zEiTW1%QLm)nwxT@FEhyHDL7;zy|2+^Rxa;vuN`^U4#1=TeA9ag^s@Kr?e?pSjpJ7< zN5`Aq*Sp7;hsW>tyl=OC6*K&mH+(<$Z0q0*pkn(Fas@P40SK{s3{c_E8UV)r$%b!Z z$jaW);?Dm3*6#fF?!w;Q!tUtO^pmsjE+o#jE~Pu&n_-3t}m}` z0atA79&H|Yw+@as_q`kYN9((X8`}qK+XpLK2g}vGiR)@ptbXnXUv)gWTne}$P#;VoYH97}W#M|JM8eL+eTcC6Bv^I{~!c>{*3IkPU zAj=FynSK!372=Cn3vCY(YY8G~^C?lJB0;)PgCn@uCDmi)CXB+;A+rofEEK7kDl;?W zMz+$(Q=5f4tHfZF>1}eoRjf5L73x8WWKb%hDr6kBk}DPS7<7JLA0J!CugT^iW4VQq ztilLJei$1T&PPRwOYaDZBbo3Ja((~-7SUh)pr;~{*;}Jgut%rI-IG(s;R%HknoJ*_ zS)E_mTUy>935S949(h{<5r8?Vz6q2TnVv_gF~}1xva({R^1a;!wY6} zJfkIvib*135(hDfL`(t+8&Af@6B=IhSHI{fd)8a>qzC<|2X!BiW&m}MfQ%ua?h=45 zkhca9k^Myxy?_BlVgB?17$74Es7Rm=BI*_y6-7ctlF<=9QH1&iD}Le%iJV+E&J_%TY4kCn5K@m{M0xCsFr-~RfF_R%?LUSS#He2Fzg_O&c zak=u(sNnyI3K0L0g-G~yHbgIz_+0_*Ed{6$`_^sB6<_8%pd}Vo{}Ky@+zd4;g(`Jh z{p~-b8k<;S^P$4RRhiiU6)LEq*yo~}t_kbdyuYHRXLij4Trsr*73-dYXfgVQ7848G znHPDZ&o%hod&J6znWZnmyj1UkofDqNB`9O z^cOvG-}EP5VW$Nub0ST!7;Wi8<;!Q%=6GpylB79R+?39*O=nl7v#N7BxJrJ1o0v*e zG8uXzV#kbfJvCb5nIUTP}ZPmuN z>Yuh6AGKTVciUt8-498_&l%%M-05`QbPjL2kULeQUg{m$7i^sKSI-!;Uc$&8ablk` ze@I{RGFDfa%fswNEnCsfYDs4$UJ<2!ugVWF6^9y1fEhy7<)O-wP(^X592usDN9YTq zO!>Es-~<(_D-G0^25Cxy)g>Xy;t)BYLQ$};D9~DT(_M7k0lDIa8Gh3U57fhgwXhH^ zJXi-0(!zmHg5`)1DI!z~50w^%Dq&$}^zEVQSjWp}tcr}r;-Xw+^@C#UwbH(ymy>^0 zN&R&-?P@hOw1OC2IuMQS4?z!nj~@I@Dd{)mv~Md|*DJVT<@~#)!e}%vte9~VMY;je zf)-uG3-#;O!|D}ZY&uI3yKpg-Th`|^H`4N(S2gwdZ@xLh+KPe^D zSJcU>bH^GI4{#6v*cJ6d|Gi7%vtwGy88i7UC+P=%;tn|pxI$i+tgTBi*QGk@Qk~6d zPJFtnGh?(jYkDwumY6TWCKjW4fLA|kQ$Ov}#rHc>Nn;t*sWjR|3Vl3< zHl9wN${L)_8l20d%%n3W^MrF1x=ozxxPSDRI<~_ZTNZdmg=U>d&5;Oue2>^UNmMuCu3_>BJRlO=a_sxelfBxI+A3nR{|9AJt|IQWA z4Uj9&AyoKWv2hHQ&)PqJbA0l~3m*M`S3v74&VB1E&VO{pU;l?|Vo@bmu{*IoS0oBv zX6agC27IBRInPj+C9cV&RA#i7rn8B7n^V7ba=3nax_0z>WgqH7vVC%SaP}6EX5-}b ziWj)zZ0{KS#1H%4w_Ar7{_bi1#;lu%kSn(KU;AmXefVl?|8#5bWOMfzWMj{l{S#=b z$brulzFneAdj~5=UhvM#`v;4F8Ec!fi>uSq3zHLb{!BqF&Q}(fH&@qp*S8M76#;dcecV&>VcVxKECE~nnyXpv zvgqu3wN+(4J$BDlzK;0jt{5V0t#AN{bq zB9YNuqn5LWr^a1V)27iWm21L0IyVAbvAnamxVtpByF9%&HNNHeM#TM{`957|vmSf|e9r!X{(FdRc5A(Sqq%AkNH9HWO6O7Fb!{kNc z@*-RFBHHu9+jGL(vm)CvqA=-^_37bN>0zZ=;mEv*LReHIHjm2hF^-sR6XVXQm7$qK z``EhCJ*&11e;%(OQgB2no=63*=pfQNNz5J!yN}9+L_r6f;FD>53Y8By;h+1UQiW8X zD`-?9gbKRE=L!)BizNoM@VkP?lk@qCublW2HE@Mc2wb5N3$+rF&hHAj)Fgw7S3sLV zB>v4H3X8wj`RB;|dqd1}xkU~&DurC(?*QU2f#pMmkuKM>Rc4{yE;D=7jE#FAR#wauovOY1pJ~_KSGQa6s+_JCijIN)~ zZ@*jJ`rtO3734;G^&=82bRhAY-Ut8K^W?vG$Nj1|={siXO?hUxAun2szOSr(qG)-c zXpC3YC#Y({<0(U0mn&&TO1m56)Ls>vVx*JoWTI_gK-u2IYwjR7boOHUTU*JEZIl{3 zu?*K=j3uG4ToguGgw++|w7EES22PWN(?7=b)u4MY-tRm}QLIrsY-e!xp!WF_NXDKQ2$7>XobDI$G?r2eXy z_KQ;HZ^~E!rL3qDRuq~Mf~H;G zzhx!-zm=S97`@n`&)M@pPq5^k>WvvJ|-7?#hA^I5M>u zbGL$avqm2BQXEk$xLwD)TQ7=jP~2}+#Q;S#itaS>?=!ZfR+0bA4@g#O+cDG{g>FUz53~#@SVBYcH~3bB)bu+J+QGZL*{~ zk&ljJ!JbpI9+R>k4dy)T%Y87A7emaCrW8hTif&1ZZ|TbJ*y^8*;!`KP^40Yjq~b(e zVImD*uM%>GhK80lHoR}%z5VmQ{fDkNID7Xshv)A>{OA86GyLl-wolJCPhV}EyxKU1 z`h#qFf9i^Nn@8^eEjAA>whmtJ9beeq|L&_R9AooJse;vk>4hf)R|so!3>`=V9-)27do!!M02Sb5 zVe{~dD^~R5({lGP-)g7p4NRkvV=?h;7Lna5bJ$c4yUuPi+3a?!!)0|1Sv{lHA-Bn8 z(>shBt5Ik7ud*@u}FgiN^2wIWiAJK54eI0kK`0ZaS>5`WTXHU&O?QBkl`#u z7zK4_0R6D5ES}z7tyXYGW+#W{797(HrtwAa03Dm(m|NbSo!gwA*q9n#A0Aq;d!`JY zVUugbM~hK|LZ)Q&iMuN$9WZfgiWu`)fO*DiiDS1UGFuYp&2iM`7xb2=%$CQjmPho) zr{uagLQTS8<@5gX$9<&_`qB3WP`O>5BD40*~m2hYu8m4HO0cH2pjz!n;{+fCA1H!O zgC;&`R1uXTq>=@6s)$J!GZ~O87z`nUApo@SxkAF@$@qM^K%jsID1>VN5sE-?^ega0SKqF54z#qSEauZo5Iizom*pgpHPSID5j3Y$#lkZA2fjg7Cdu$3l; z+(40O*=n=I?AE%*jl(mhk=ZY8#g^TWC48>%(ZZkM>9z5>jp>E$=|zy8*`-~ei?P`a zh#bDzkZEYqtO*R@ybNO(PuWD?R{)c(<)w(-^$ z4<2L3VGa0JWk-jox0~79P3mdy>A|&kwzswsa9DN&R$PIV!LZ6~tR@w!kHeZCVU4$1 zbU{t3uvTq!zx6TA{e8rYBVzgQyV?QYfbw3GX7+xY_`F;j33%0F0Kjo z7maUc)I%&$C!867otyBzIQ^O;@45nZLyicLqXXo{VT$4?H7Z&QziTLnHswU?^261z z00rWT0(nDO9IQfzDT+d6un<{6khU9xZx@v=8Gs3QEVb|1!H~qN^Hv zYSD5`##GnCSHzH4@vam#Cd<^4?P|^*ZO(SJWLPoD z228xOBVnvJd3rEa)0#!9E2t|)=TzWgs~IR5UH8byE+0l4zOuO`cr}klw3FJN$%l%$6ls?;|{^6&D={Vwi5@{}jG?PP_DPYbO zap#M;3vkw4A$>NVHJ2}3%u_AHlru=aqm-&@Brpd0+6CPe$}WVat5DyWr|*L4drNeE zHPVg}T2pRUWnwk#QBKO;M~}iPs}LHE;?2dI)8o^{*;%VmuN5&B6uh_tt!^)|b(D{F zRykV{#^y|U{R>&`3rS6as49_#ct*&4*co@XGbyGc?Otc*{odSr#KL_O2BrzT#IXK-pjY|{`IeCKm6h7^27h?ild7UfD_>8 zz5M8p|H@Bw@pa&0=k&ri19G}?{A%6%8hYX%UF;uUes;z2yG`%=jiYy4hnL$2=fE33 zamC;4qjL(ejM3iG0|Tx|64m9Iy3htZLS2_5ElK8AWU}jER7{CVNEx3Q-v9V^@BO>2 z^S5i>H)}^{>rgwAleNR+_`zPCbC(!PagOj!W6KKoo&JoD!F0|9c?}{a#E1=b(02RA{ z9A5uc6mT7Cr@p!~zqY%uy0^FvRT^L1^7^Ze&-#o3&R2F%fGb?{%et{Cxy!@1+UR;c z!>DJQjldN`s|8wLVY6zj7Nf;#v)El$Cve4>b$H0^cIX{ut<|izn@mo#*=@CY9M&P1 zZOCkL>U1`_$}E-}xe`57tfNZ|RH=b1Gm~UyqRc{&TLvZOL5XQVYy=tfg(NjmWfq#R z3^+}0WJ0wFjB2ULC^MUtW~;_xhPI-Zw0eWu0AkV@EDEiWuTay(GKyGARVZj06-6c+ z;BdN0CF;7cG#4>GtHx)=hy(N`4O2Mg_mfn#uQVPGE& zB*=gC5hAdsFrd5O=70WwKD(kb|7K@?KxcknM}AOeL2y@LNLK-%MOaq>l=l2^d|m`J z50V{*%?fSJ3c_auVN!#d6N8(QLxC&mv!W_;fh)rD3qtBzGReFS!-&!6iY3p?foE#l zIkD;(TkyLAN22*$L2m~k&^rk9&Ov$~nN6hesZ0@#4mcsCLqiiH|L6on3yKf~Favza zVoIU$3WkWu5VCx(;Burqu1vsJ2n9-^KqV5YMM8}q6#@_;6llmor181JH(ntzDtxqn zA~P$#MD8z*^))h+RAH7Xp-SCiwN<3C3e*;!%FI=n*eWASWn`+10)t&?A2Itx;g1#2 zVr;<)vP_&&8dYC6L{j<=u&et&!Pvz>krcHOLk7TcZmb&ZRZW z%Ie6vcYgcB`u6XKT_YOa0J}ApS`ssu^6TE%zw3GYk3Dg}=u7&RmV8Z+5~Rq8P$KTC zUOv(^KiAbhHB>w?l|Qr8rCYIZTX&U>jInWg9o&H-V(Ua(?NoE+B(`Q8UpLa;;OuI) z^kTIAEz-VvUT+PvyN=e5qu{#xus|2I8XUI-Cq&>R1vq&IRuXyI5k*^|o{g-d2i^vjr$Wy0hKf?4?x^6mwFS2fIZ@iYFjZlo9DZGa2v8zJRH$%8 zQJB0iRF)T_DF`&dZU9u6;MeuA>*~Vm%EBA+!khBKKy6X585LqJ4l^La)bKD_VW>DS zgr6NG$PQ2!-n1icI!l7p=vWRqu>%D!L^R!jk**er0?HI2wYpnP+DA>&xEZi@O4!JOx|ecljFhA6T+Qi z!qX!{>T62kTgI~=I1djfFQ$4^4ftFuHphj@8g9;XHm6ydlMF5K_O`^~o}}@?WNljp zvp%=A3<0lfd00)oUMml2klt<<#bSjI@$#o_+NW*$`xwQoMnQNT>sAvd8pFMZ=ihIa zKIl?E>@hs(Gu`hu#|~J1vE3hZJ|>JlBh17T=Tk_tnUtAa+DsvP4#8hQ@E75%g+gf5 zVlJCIn=YQo77WAb+R}b*OII(sy-tpU>2NvP)?95zp0*3F>n+s}ycD#R^i*Zm6g)1@ zeFDpm&n-yp=*GL8_TRq$c)EWu>2ksBTOX);;4^ zKWCM{V3foU7C!IHc#KJSfK7_UC&#p=M)zjjCFS2^7R7QAF+${BS@B)t%cmY(>O@zr zt~rxcklUUp+crIyzqP9Os9Db&OL_~Pi*+vBtMN3Wr+EBhxG{!Jp#*u~-LCe-WXWZiqZ zdi-kb1e)9db^^cb!O6uTc%k>=@aX*T@a*95_5R`OJ>QxQ$RwYKJ3iB5)t?{7D-Kq+ z4%fDiAXGq;FVJoNO(GB~*7ugy!99n|KoL8~%iCT6jQNfI#mxg>LzCmFwH@c&vSw^j z>K@|R>oS3M^q} zC@d_cm8Y}_mEe!RS*$)NwRuc{VR(c9bxT|tEiQ`|l-%Z_qqxOUoZ?#`z!iffk2*_U zFuJRBYTne+-1OS|dYs`#l$h}jQ7lq0Pt_Z4YNh5LaTDQtH z>atDDI;XbXGuuORo5S-Pepdidv;k3&7@Z_$7m3+JV)a3T6c3INhSImwHS&@Vpd2@QZdvn#JBFkD3Y7Ne=VV}O&(WiWXts| zC^`_1+9=RlC1$6}F|7AY+D7L=tRr*g;TiMLj0I$P);c^3F51TzoRdp#Xm7~s$lS*G z!q(K%4#?!v4)|{~I=?wIv*wyw8J_;?iZ$2rl67@{bbW7O^UeCkZ-+h8Y6*wgUrnic zF_?a(H}*gEKmM*`?d)pnZEqXEwGtcgq-q?w1WPW)(@VQ}WdqXUK3QRhBpWBr?NlO2`cjUgi0Mct zI-YjhpY*w(QpTULXY-VEbr@ToIsx1?q}|^oSr0JV*%(k`)9?a)U(KfuigHWnO>*7GN$4))z&q;ZKPGnyOL!2C@W`CrONSJ1S8Vn#>_ zJFJ=$(ZIcr`n|m2B4D)df=LU**70J0? z%({uDKP(?8tZr|qYvi>QjkU(V>WX^R9qsLTc+eAfN_>9FeDYE7@Q@xqKak;UFL2

$>(wt&%OLg_6dInQ<_%y-GjKSiZlCru-RfMaxlE4O0M2p}qmVXZ` zy^mGh$7t^~slw}IAvNM#^^({o$zzQ4Azl{SCcoFAis{zH^qKAsT4M;ddql?rlKUBX zG?6@=N}kQ2O=mNva#_>)oH-b85yn|AU@YcQ7ILU_STX6ah<BESLa7OHVIGC zi&J#g>booKJ!o4S+}x6HsLfK%@3zv!JQAC6vu_y4qi`hNHL&Gyk5cskoY{_(Rb z{`KGNmLUa~%V}*GM5fS7lB5lpmX3T)OE#}El?02UROU0=>v)U-lT|yrvF!c*58h9o z4lmyAdoOmq=i9z6X=}%?myci10{|RD8%R&QmxtbqeW+La`R5#+L1i}gUqO=~`_K%? zp7-qF>i)(KzR)n`#OPs7ibeM2-HLEZ0`ty#E${L z5xD3*hekZSXWK_m-K`COWsF^~e-rB}5XA1zt)sOa@7gX@%H+A9;@5X4dD1$Bffc))gABT+O~aeSvfu>85-f+T`ZG@V>0v1W}(F*wOCbFo8D$O zS{x>`-D56Z}H0Ru*>eUN}?I4+q9x6GV<;q`eAR`3vO?~MpB2b0ERlxsB{s*Kny=!A(nvLqczvi7H9{0ku_ zk=LBUZBF4dC$pQAIL+}~po^BL?3OrIOA@0wh1!rnu6<6deoU-_v z4wi%uqQiZ?(L?(|P$2*t{m2l%D|%o-zEW2ZD!TJ;Kq-KZU3vb}n%6t>u77n!YxdRF ztgHB}tF77BTC=XVfn?uk%f8v>>lM;TRx|oLfzK z(G7($)rEJ^g%O2?!S&54L}sJX#@Bfa#*q=r#Ikd4V`O!Aa_7+RigqHsg9uQ;>L#=M zDC_|Wmq_JN=mHu;$YA;wWCAlVq-@{^hK$9O0a`%1fTlkrOs13xxdQqwn2TF1w$ebCX(?hAS)`;&lys?zt1-wd4!vj0GCFM= zopX*a+Q;SrB+Q;^qifROnlLygzzJZ6b#%@#x#Zh$x-q)AHNLbxxw1R4yaP@~7B+|G z)?G6zj;ZCL>D6(cE5;UATr0D-waKydjfM5IjkQn1!;31Fib3n5)MpN6UF(beKM0Th zf%g1otoUEk$AXobpy4qE(dNCdq75B($j?;B*lfV=&fsvu)^F z=XeZhB2ze3qn~M_Ffi45_=H~*5`M)``L!nfJ4IHYF!vTK{~^2Z4ht5>EV{{qUzZeK zQ{`V(7X)hHk(#0yHR6r}5h+K6$&11jut<49lp;Sukr$%O4*~*F76vN{gX9GPvVxnk zf*U{=z!+bpAu9-w<_1Wz10-2DWq=mBfx7%)b6%7yFGiD}fJYRkmbTxjVBW44->%g^ zX|oh@%{Ygtd)UxyQdde9xpd*9E@nVI@w*D*)e^={6fd|`6j?8cX_ci8%By(_qFy2Q zC_HoW)ot0qzVz%s`r$xwxF8xg^Hm%Uric5yp7+m1{Qt9v_YI1D9nE-9LCmY^X{g6@ zn@Yzqspt6UGkmnSHFmG{k$2$HIrGtb$)h7y!U{2Kyc6!hXIYyQ4fRh<4RO}S6nk@~ zy)Dz$lVKZ7)8kU)RY~lk6ah*D@QT@0@eh(|YgBRcKRNd(_+$LC~N%k0u>mhY0jy9SOt*MyKVNK?8CvtgH zdEB{t&Qcz0C5N_@ON*wAlJi6vf}UGzLl4gM<9|$C#R-oXU9f7;E%pZ%ux=s3mZ!`Eof(F+00b?I}$7dg) zi)SD9U%%OTeX;xcV*l*zA-H({3B2Uw{0Hz|AdPMC2!3^G{q)%t_x}7ByUwO$FnIVn z5;~Pxo+xifwX|g@n^GBN37z@R`>WyfzE+V`U>kAI?`|Le;ddvWemFUQcYJhqCkOz^{xP`o@(_~G zTM+N-cm5Oq*u~+iOUM|2M&Jm%@#+mYfxO{;4b7DtoI=?@**^HZNMrx_9Du~1y_1U{ zi*ET`v9^7<1~{>PxViyyw7LnT;a%N5UfVxi-alE|Ihyws!dluo{5(stbF=|%Q8`@O zK3Lm2SlxyK-ehuZ%R0X-o0t|2j|rSZT#JKmwh7HvvDu<9TXj~4+2*uZU1qbxVzfIT zR}76hMm^RMr+LV3^4Lv7HuH$hGHSOD+ih;U-DR`6tX7xB>NZ+kI*UtfcF7FT>Nu{_ z%#<0ZVhu^4riit4iH;>Ta1-vr5ses`&Dv+Mn%zU$Z91?C?+yFq@FfPeE}VLhXoJj z76%Ki6C5eqqWMh)q*i<$)jnSM$YltV;J|ovWAyqvfm)|3m$B@eJ zlFFhI!`36&y&$cesozxb!QyG~Y4(dk}p3Rb0kROnO*z`t6p?TbSGkY(XflFdSca3kQqF zz++nAu? z5%GNE6_6`Fqe3Xwi^O^f)cC{KO-y7|2_aW#`G6MCQ7bU1g(kVsC=nS%VuL_x;K__! zg%OB?r7|!SI+{#F7AvV@B}1lWDKsLTS#9@NMkeiJvyQPj=h%XMWX>`)V{%Ozof8HJ z$hgTp1*BmgUvL37%&tN8GZ(kUmbS;2b^tJj=QjW<+_P)0=~bt1Rp-Rq=FGzO*wV6l zW!ktg-gF8k^!`367csdv&6tCdpBg?0lKx zu1_0k%ou9U7-~uLU{c)JBsVV6g^P3Ilk9C7wvK#jN0GT5X>3F5+sZVpHOkfoX&Xk+ z-p=Xlp>_`Rb&%THsr9XlQY@>WnUmHec+n)i-=w_L40K@*!rJe3yHZGQB*#k#F;k$Eu?@J*}>-Qa8LFvbKc`VL?NuK`Dr!jVV&q+qbaV(RVsJ&PP(Z}j@~f~ z-m0&ZDKeh3f4Wrs z?Na(?L%87J>bML{59@IQ_wSK{zenwcR~x zy|>qT-`oG-jPdZTCTl7a zL`4bpC8cqd-B)Y*HyU_B&Ac!y?+#XaAE$nbGrYhX6I#uw?Uuq$Yk9Y|rq@#3tIO|I zr1r{Q^l9%8Snm$HVo9Ed)Zu6Ju@w4b9(@|doXO`*=L#lsh10qG`8@7wE^9T5wvMaQPo>Ie?PgM~v!{3jpX0{m7}|cH~>CMPYOeG56RM+0#fv-ejbDv4a(wm?BSEaDlUIS z1>}m$--7EW5E4Ft+kX0zudh13_;`5!ZtwgOWdHo#;l)Sq1>}lT=p`Tap%xymcVA!H ze)!X8SN!QOHkDCDrSNetDWz%b@&tK9lBG3S-jGNwiEqt)-uDv4CikffI`{O{;^Be! z_rE*-@ag32&B?*5LujnvV%z&>?fA{&@#XBv#Tt0B16Q10o}6ABoql=HL%M)y@iqP{ z;9GuLeAUH|wD4X0`Yr!Z#*eck{uQ2p7QXcu{x|&56<==iy8;@l*n(WKv2nD%3F2Mb z@~-Y2ukN0#?w_szSL}Khb`BS}50-q}QT>G2*g0I^27z3$wza>y4P|0=(>%8%8J`ji zjq#lxt`%~H$Yhlmp>+*}IFiIy3@YVH3J#*O{E%8$@|oD zf>uS=Yba_JMI<4!c;vngY6Fahyvu}#@QOo3Wg)_f2yR6*v+^OWB$fofHJB4RP!Kg( ze4kMHTugZBGE3KYHrIFdme;oD7dNM7mPf{CTtlM@`CbQExfzeW}T6$a@78QNbI+zSutfd%vw z-s~v=xzSy4y(|AZaD|^1?Kx0>9Iwdw9t8iH7T;mhzr&_o!KQuZ2L?9nMoU^qQ`)Vj zj9bmw5iNP4nEVJ#;T?K0e9|L3#k;Ett(iv&#qv}IbVuu z3O^51Xe1zhTJSW$70{4{;EOB7dZ7dwg^)^&awsN+*rf8!gQ!I&jnD*)p%fYwLZj4= z3WPJWO}At$B=93zA$7Owo=d67y&92W{1u(Y#ti74o}&Jr|rWtR?oEA1zhN7}QWF`oa5^!%IN=im0kU!`Y; zOA+^VWzSS459Fx3GSnSy#eK`mr?$Fh=IY1#vRF-Vj2d}YRdiPgi%}KDsu2&gs7Hp9 zr{?nKmZ}%FmvN4UI9F4g8xuE#iyLZ97;a4-X-gk&&2r;&T(~?3uF!@;Lf z4-+9n#PAStL5L(TRGb?u$_WzY1c-A3#CZXd{F{>e8{)icqTH*(-0y`spCih-D$2ep z%(^PbxF*QBF3P+i&I*ua1?jRvY*}Ht+!$g}W>r~r_RGGcCgBsjJ&`nCrXK5^7^5zY z5T-ocL(XQSsaPmaCvu*&GH=&$0!sv;Rgze|GLfu92(&o0f@zcJ#${tmn$2C~(SiPC zUwOVKUYX>8rwDnlzZg%vUC;Qta{k|!^M6srxn9G%Q$vZb8px~c>TIYov}Nq}#~k+F zJ?y%7&>nlzfB!Z8!5iTNFFSsdk~Keo9P7$);8F~Y&&*8;)}~Z@bC#_&)7qVB9>_4@ zQgqdc(&9u+S!rr@S8yFSuz?@YBnZNYV>>iSeHJ*$UB`6y2s~_=M!kEcn%p;f!#q32mZ!S+blPdVpf=lY;(Fr^blP?gH+8W!766>E_?RXJLN($$u-(lz8XTShOUdU?`Y`EmH z?i3R?QC$0iQ5DbWd&!qD3O_CUobbm_5on_1^25Q!+k?xu;Qf!F^%&6L#xXP-@(z5K-#UH;Tw(w1pFhuo z{P{0dr9nv{^RPAKk`!iHoUAUvh)a^yCsIq}Tl3=v8_I+%vc=^bTUuQ49v%Mnhr_q; z4^Pexc8+#;kGJ+-0Uj+MoXsDe&3MmNkI#0G&rgoey~pQ=Umo=T-?Z@S!Vippck)#o zKhBSMeS;o8Huz8c`RP0R;qes}&@9I0!TQ$G*4FXX_Q~eX$vVjH$=co*SL{KqSb(Zq z>@RQm_MdJ+sPKuxH(mi8CX3c=Gg%xa zlig&n8FdzDD#YR*vJJbeLw2*rY;>DV9_T83dUJ1l0W+2S%=JtnJ1 zYj!IQPN~izR9Sg)6IW^wC`=-iMXI$c^iH+Otu=eJCYRRe&>8Gjlf!LxdMr+>*`YVt zHAb7-Xjd7XYJ*dwb7(by7FLDYEKwVHYAs!*8dS;q)rv2!P*TJaG8?#}i_(aoA|Ei} zk$hByv@~2&9w{u3=9b@QqV7@(A_!Rl19@QssF;DOr$W+8yIsC=xVyZ6IJdSlF}E=? zvFI6^wmU|QHiyP)l3CPRtJ!Ar3^^w4YKxI4Q4z_~-WEYSl7mg+;p2pDPbKY-#I4Un z*mz-clAtM>-;~O0OyxEvaGRcUnx3$mpR-!xnJr1o=0rwQJfraiz2OjNA7jMG`>!V z;4`k`GQP)yWM0Ll-)Kn>X-tc1NRMpD2&>NwYRC#}%)Z@}6N`gC?SF|I6)*aNT3>< zCWRF0CZ>>>RT7iZAF)|3f<)m*1rP{NV&F*iEUBI$)zYMDs#HyrX_yKfM`aM|EHaZr zWpU~3Lq_MQ**#`TZ5Mf_pL6 z8b67Po597;U=t=WiQ_HFV=ZZ8E!m?j1tVDGP-~f|z1q=PXX$D(bhjwF@q*3{W@i_< zqp!b%(Ahz0>!9O0SuNe%mmShmTodMA<>y@CXMe}b`j(dkj^FV!ukbUj@G`D&)4%7YUFBzjH@qpy3RGqV z>N5jXIgzxYL|hrFtgbx|Cyej$q%h|z^m9EEGqlAi%G@MzYNFfYY0~P;_~IM_|1pLa zT*eQp5k2lyX0nZ?G96AUBU|`VkH|Wyom#Rlu9z1WRm<~2n~hHA^w;8BQyRJh>&XB4 zCI9d1_`j&0o-65>mG>g#KyU70Jim~G(0@FL?L8thg;& z))Emp*_-EXOE)#gTcEC&skY`!8$QF*onh|JFyc}TFOw9d$!!&-IW?V8b?lG^{`E%j z4UFP(pSh4egcVN-4O8PolSeaCXR~wf=a=8jEgz0fErP$12FHMSw1_qvH@K8UT27}f z=Q5Uyn5*UNwMy(W#WnG|GPV{&x<-N0rn5XA208mF6^Gp z?*G4Z-F0wWS)M2Qzg}#-7qL4rZ>GDdY?s-VEz7b@vMt+UW@ctai!qrQrDSFnGc&Vf z%TQ&gYTD}Qo}Jm)h!^kNOk3sd-i`RijjL3qOI6*W`|B?3nL;C%YveMuOro@xER1H2#h^B8RYrxvpiqFTNg+2WWd@Z@ ztC6YHG7Y#OI=81IzsX?ePNmUkw#;VlWl;Em1 zDV0Xx3TOzI0{jVDsX`-`g8*F^#0sNCW{`>vfEEI=nk$wwL{g$qgcS1NB0lOXS73oF zVC~qdY;1-PG1Z-w@qm|mm!Eg9JJ+3^^MscEfRNyVio61kyV;fbu&daMjxE)g1e1H4 z<6GMUbE}r&IiqbtZy405tWe3tXjE7Y8jICr9<-T8^RPna|Z222(ux8 z+vLq_dEV3L&8_q0)cCWj0$Ei-%!(jJg%7>*Ijz!zQsqgi_9fN?0aTEx1Ig6^{}7pd51t9_4S_?GHeHa}w*e|pId?#iSuXI*Tks5LI5Ywas$js= zZ`qqU0WcivBT!CV@wt;T!Ko$TdUO2srnqa3vDct>ix?n{t1qIi*F?EgM7WiQyOoBy zl!V;?*Rt>j<&hrs$swHusrZ_*&eH7athn6xfa>BjL}xvVO|{s}Yunqu`{gg6e);RW zKmO(94}W#I0)`;LkR&*gj6hLPXetIn!(kbC9FzE!E6BudDE1`}2o+zug4{!<@@aG- zg8^Itt#`2PmH?vYwqL(;g@nbDKr0~jK1^=6(!Pz9betK9jWz~(3 zTSk`phPF-pa~j)#R4Zp=>Tr2JodMs%{k}!}euMV@rpxQw7O(G`eZI#;++-%Z3$mW^ zGavP&-|b0r6=d8ILHjrF_9Wk8#$KmJTqcEH#0Or$2V5WqUM2-yql7xqBb=Ghx4H3d z{M37rtcQw%$C?rkeZ@0#)$`uUXM+__2g{!glzaAS48wz#}3pc4b-Ri zHfCFz@{BEonwAo2OF6%}lG|L%Y-ymjw2<36NbN9UCkoz%u5ZMa*5OL?OUfWuTxjt5 zuFLxyy!UT#e&1sQozNj}m`GP_oC_}HCNc3kCH@LM_7Xkj8YB89BkDFi-i4lWitgAscje3upj-gcD{ca<3r0#I?89(RcrdyyJ*ff9Y55_y3Vd65!vksN-B z90qck8gZ2#bsf;6JK9MQ?bH+NN=o&GIyxaC< zANJ$``}m0Rc!%V_N{E@mWsJg;Y^~9nx=>ARn7SrhT^*rrh*Y;msXC)o4H3%n5J^F3 zdr?kWNz=1(;{6Kxtt#%#I2ToKP-&=VR`a@tj+z;)%oAgj-8D5 zEm$l(@jwlAGzmSKh?`0zPA8LRGH7$TjQL#Vd>U&yo;4A}nuudgCot#ZDASRc{*X>> zLMy+jm4It)<+fD`JBnmo+0w2oepfELtFRk<*;=e`E@qXaRL1!RdftkS_NlKgXLH#K ziO47s_DlFi8cy6=%_vA>6~*%_6QuQt;@TKNd1z0eKc^s&RS?W52!p2uR7H7Z_&x5Z z%$EvT3u|*Ti?id?(?g?^d@8;@FE-cXLXD3TEa(m;(jB;hkn9Ou(On#%stK|-hpOvC zh1Fr4>S#8ylFh;M^y>bZ+3n-EAAa}OH}C&+bn*!Z!A^^h4q6<)ak%2s*UKM&SD^U1 zaItG&>40?c^2eQ5@3v0fK(2W8b{pD40`+5T?Z4UFJ6VIajT~+qzc&8#$5U4*dqmwx zIHk4#l@(0L@ne?+NNR%EWx<%-;HK0Nd{enhz!{yHo>^aC+&@@*^Jew%czI)YX<>a~ zaTB;=W_53BeSdu8V07znX7gZaV}E0PcYR}T)m~C?Jnp~F(pL)^r!y-Y-}<`va7vM{ z*Eqf=%GXLcrG>*4&>`%0TFlt%6#y8ED?6)e`)lh5E9(bK>-&rA`}5GqP(X{_Y3Piz zt;vw17O|509G;F1st5oq7YOzuy zQvz40x5E+SZ-#*hp^2p4$PZO9cluBhBQs9aY>_H9_^Em#Jig$p9{Haz1t)XWJjjsRLf z{hW@Ry2AdYb9?g5wxpY_NjF*(Z?q&hHQS8=(inH6F4m~lR6qIDFlpOt65%J`RV6Bz5n#5*FXO8;O!qA zu0X&^2m}d^st&yV7hoLFz4T{559OWlGouV$eB)|5;+dc~Zbda?oXR@D+0CRa*FUX0#J0 z{$@|gEkU}ADBD$*b4QhPN1x+n%(-jGy>G~MH|2Sl3%smFe!V5ZeP!YOmC=1wan_my zb8WJ|E=66JCacYmyvP+b6bhP31ua#=_7|egW=>}(xdQ|Kw%So%)sPZW6>z2A=WNUK z-@=~$6T<5|l>b#sh$}YYHa6xKCgBD??m98%DmD5tE&4h=+L;mUN{hcmNxn%+yFp34 zK~K8DOt?XhbE3swqsCmJ#a^MuU8Togp~Zpw%e2@_)R>Eu=nJIC^Q7<##PAD*unUBc z3;1A=i^P!2i0jNqCvKDzC)Smk?1|5aY%k0&u7SsQh~p`JWvWT|#0p_y89gxq zA275TW%UYv6`z$&p@+3IACB*w8ix|9GwzQS2ZDA|xX@V*e zBM(VVXeIjTTMp5-+6%I^C$(x6U58ga0eH$l^kSq4YeW{2M_P5gO%`hRWC{AGFU_j3bB zqc*FikHGD(CJh!+Mlz^l$@Hld)=VmAE}1(Q&zg#6jz!Q$!^vY|#PJC1U>sbZ+%76< zrNP^~cpcS>jzU>`j-)M3)Sk)jD(pd4c6XNcG~{+yq+oKR%Mt>jf<3Y_V&Pp)3YkzZ z*`$!1fr z14Fj`A6~ER@6If(42@28lX1=2G3oB#S9&|aLhjOIJt&FKiK*U%Oh0aszoIJ8)DWzG z5h|_;@2QF9A}ZM|Y>!&rKRLa9`1Zrke?9r(5BtYIZtg)FH@?<|9Tgw&=%Z8!y2XxZ=m1m*C?+?jHWQbMS5xntkzd=i~?T?|=Ey zU-5e>htGz0lB@I3z!lkk%%T8cWgxRO7@Zf|oDoiLuhS?*^Xu!&d;2R#FV{}qtRB2v z-P&JS-db7R0ng}#&7--kyt=(`dYYL1><>rg?3w*4j#o|x zN&pproVHIm!0?a2_{SoKLl<9HEgV?@f7<%)>iYir#v#b+#=-K&{^AC7p8MP;dK{XiZdIM9ZXKQuc8XaF_-`}a$ zDbzZpQma&IR0@qwZ7}I9Rzt7JK66r|GC^`sThvfq z>mdj~^Knn62P@?PIqnuN;tDF^20Zg#NAXh%wm@OxjP9+B?raaOZ1qiVT1QvSee*`s zwAMVXw2nx62i1LJ=7E{Pfn~G0U%?d%aD;An1G6ogRv*S}4B|BT_Ov|bG3DX#1pzU�t&wL3AWfBUHAZ%cNdZE z>evqg&%TYw0dYkFROGnAvR%3|ojcP(Zgqh;L;-bNfZPOr09SDT>s+i<@E(^=kknfp z&|Z>T?J3TuX-&D+nC$W*>2_Vxt=goUHHkN>5^h$+x|BuTsY!U!lo{Ar6xWa)UY6{e z8TF(jJ+z@L6WRJgz+(2BdN-GM*Ow1gmJSyd4jryQ!AT%!1Q~;*U{O@O-4#R}lk|UZ z#owR;gvujQ`4pOf!VuEvLOT6xT6{(Y$8n6Q9Tl9Cu=Zrhb)eSl2&h8k#Z>Oc?t{_10m7 zb=1^5Ztk11^iKgT{GBMqXVxcXH^!&e$EMasC&2H?#r~l=+rUgOc-zoi|M2|K*b?~G z$J7s#tAplD0lg-<)G= zE3$M|=n;(y6k3F((_XxQWkl2jI@NiftAF~hjgS7H_GiCA_+7$<+{T69!bUlxVsBug zuj8Yxks_~Bqnzl`w-_<5)c9M(!cJXTJjBM(hYjN6E*G{CH4vxB<>0|{t6}b zGBxHBCFUYI`XVXn0zTqAKJ+{;^gK5BdrZ)IbijE`z&i&< zV5S7(a#Lz58`IiY$rMACb_zMWOI+PXO^meL6ir(03mLOkNX@5HV_;0rYOY5W&%22i z2;+w!`N2qD5V9u>A&f=HQec|+c6nG6&!?9Dyqe}w$$V7GxnIF^trFj=mAO@kAC>ob zmM{ZLyCcd(@fFIdS`4W%PuJ!>((bX`{^Y3R@e%CdA@ac?=KdbuXPXkWNza(Wr3`l^ zm>OgBFCtYnVe+bAd40H|DO%MQuW5|dR)?v}LUCo8Wo5NdWvJkCig!iNvuZ_HyD1ev zRMtI-QjUpwM~0?`b{5C}usQMn?N0u$t7%-=eiwA-3Qc<_2b8K5HnMJ)Y1# z6~mv2!}SfRBmL*1SxYD(g_Wbk1n zLTr6Etddrfj>!paP7N$c3`vd)EicKX5)r)yg;mxq$F;Mna(gP%74@0swk&-^va%vV zoae(U@CAQur?Tzq9{#W%GD_=LGOz=kSNqcFp~lANG!aaG>Jzz7OaP?@ojGStMy}$6UY_NHq{UN#~%)kKkgsfyDyI49K8K#`{Q3uT_Iw2GdkOdRk^?w z_-sE$fj_T2fL;=U$`5bOiKZc%O$PPG;nCKs*Bh^1uf2S;cJOj-`(S;2cYSkzZR==d z_tnzg$=v?Q%)x7D&gaJ7>hk9N(#8}t9DCW3iMf^WxfSSO4rn{)+T`htJ&wWJQ}!L5 zb6=zZn6Y4I#*+O&lhfwRzw5hjpOGyDhKq>h5ANz?b%y`7EShMS9hmZc5E|?(xFkB$wV_6nMM=GXzVc< z1$v`MZ;y0{-1v=Axz-;U_=&X8;*}e_Ls?*sFTB}K8v1rU@ zjRnL6#cI^{8ngp?ZNE<4uTk}>ls1LjA_t-XQJCy&C{VcrLWNwfkm{6DjZ&&oNtG(8 zN+D57r7DR`BUR{SDu56(a0vL6RHk>hf_mx-0S_e-U?dJ#@UToS4vi$#7L&8W>8W1a z^rym%M<9aqC%p8h>|}RpoC_iHDh6`J-S*$ z_O0rA=jFCZzI9m9H*FqT8X4WP8b*}@g@8oqMm00r^QiR^jK*MglOMO)lU4tmS^Jbx z1p;*8#i{n<)_8W;d2s6u8n@w3aKwhLfRVO)>$2e8S->ykdfs?TaG8Rd}p=fwCo$$pKWQQxDEv4P| zEu~+UKPWs9{Fe}@d?JlcrU|GtA)O|KjzqWb0r`Ro2^5x;!w^<3y`ziz(J95qkZ9N@9~{vDSM)9QjxCSOt&Yvls)Q7J zV=64c6%la_8E_8i^_wp5Z`!=SZS_5i3I$KwJDlW)y!3mbELT~si#*p=nRiE->nhD~ z7NuP8iMzy#_?{Z{9nt?AqCdC-V4NlRox%Bjhx7XmA8>{ce1;fuh7@*&6mf>@Vw0w(wZ8n`0RPK&^cxZo>hY`qBaAsi-#)$nt1M&^n2xudllS!m4bU!qWd+{`*rfiHDb>S zo_`5DxQrK3DT%FCm(>xm4W;sykbyRz#rCJio$g1l2ZxCJ`^bBHc<)_G*)4hmN)`Uu{0_AmKil!JA zys3zusc_bK7WPVGgsH;SR zuH&?oqDtcH61~dfeM(a!i?h>O>ngaw6>_en8!v^|FiVrW%i`s=iKgac!;4r|d8nko zw>#g5n&*qj^J`1CQ^_rltCj(|rh8zK|;_0}U^NH7~*ybSVYiw@I{GdsS1n`2&ty~+VSJV_920+E~ z&cxD|WolkBFbq&ZHyT(bBiC%=nM^{HNn$j~3`V8Spw{X&TD?wdFldb?y~S$k?X?V8 zjD1EuRI<=(t$LkJukSVLY!JzYJn?MQnd=Ag-Rh)$z*D&Tq9HH<-ipxhbxQ{xt=Fgvm`Q#NQ@H- z{>Bv|A-0E)W%uB*Xwr)kYIZmixFXGipYG02f5gjp+MVIaN_|30bR)&wz$Q8)GTk}~ z-ATxFv5H_@8R=hJ7+78(T-fWI+_nyH7<*S$)_IY6l4~56^-h~dR>r3GY?cYNSS_H? zIOt|tTQ2cMIJF^|+2qe@@n$!AG3z`T)t<~6FLsR&r`DHS=hajHyu03mTKNcF^sp=M zK0N;cvfv@Q&>dU+2w(b`Q1%$O0$<{eD}I12yob(rL*?Fqbdh@p?noYV?aFcO%(~r? z>C%}2#Xf}7rPChh9vasP<=68;GVegG8h;z`3L?u5nSB?Q?be>{+LGeMn9s!YFz!Wd+IF&)t

w26zKkuF zbL9?KU|}R2oQy+Ia7Zd1MJJ#cL@bktW0CNu#R~4{Eu{bzUx@+-LWQn)s+|^8KA9?@ zQH69Web|S+YbS;A1(&bqFV_aItIMKlG2zGB3*>13-N#! zEHMb4CBoQUfn|#@91(QHl8kn>W&GwGW z^^GkIK%ElMNRyH2wa=MZgC?9nlhc+RXMzAu43963OstGfg8zrCj!&;m%xsKIuJ(;C znuq3eLzBwk5y?oua%fCHFl!lD9-3UATG^gmT{9@StoA%ax;rw)85#6Fa0Sf!n@*qa zI{m*#hg>5?xiAv$a+6*8X}3g~HznD(Db& zYQ!yK%uQ^96Ds*SKKUj!jSzj65Pbzols%D`iIG zt$wRzh7QlPH<&UNVPDuMw(Yogf&)+ zS`ut+q4VvYN1YE2yY3&r?(f1OSL{nP&arUFh@w11RuRlD@W-ZkHOD?_Nb#@Fjd@X)Ng==u zM)k_(`p(OjM;|`E{nMZK-hEu&IhvST751<@%Cob5Z`X$2N5pv0lf5Y^-lQ~dLZ&yj z&|h8^Y-|YAHAJfG;}i`kVpI*Ei51Ev1EUjLdnZ49{I{c%pEh@2pSl82!S0HW_NGlp z7yqZ`ic?)cbqw&q{Wm*68i#K-k6xeFE4Bb6j=`VsVgIyV@$$|7yZ5#~d|n56^yz0V zkxFZ8q}Arrilb?TA+&-3dcH5II22Qs0I$m8(XqqB1IO<_9lrl*=k<@PN6=XiZ{Z*6nm(OKmXL40NOZvn$Ldk=Z0O zndC;JN^j8U3|gH*uQM8TCbPk6HTBtD0U+_KD-4D{6L5vj2BAU?#iX_x)i#5s*P!Xs zgQ)wo>Rye~rczjx3bRsSQhtRBHM9bvSIKoMnN}^+sAX!ET&yfIMVkuc9a<~HFaD^Ch1&%MkcJm2%45hw=ksZoT_2i^I=}vpto&JcE z`HY?A%glIAPkBg5bj7E*qB7mOa_MpkuwOLF6!$S~Ed zA7$zWrM4;a=<3AWL2vJ*TB;UMsVr0zsWk^(6H0s$Olt~YxB9W0{aB6utQY?5`T$OS zAg4Zv+u+A-@ZmOi(rch44{WIi2(IJ_uJ|#o^s&PggwjWZQg=e}16+}V7I#tkcagv5 z9y0$vBL5yd55x_Tdlv+04!^rE zy~rZ8RuJ23NFDX0&Sr-z@GueqPQfFncq9#vVi3?wB9=wOu}S#Ps34Qz)|^7 zC_F6H9tSY&-y%}@R0>232IPv*sNgVVTU^>EQ1ouki8q4cL!IADmnsnRIXhDrHQ}tb^;=^cu+E__B3q zUf(~h8JJKGjmk!b)I$@-!MWa{m9g3Fg-!75V$Z6RbR#Q}xn8J5H)O~Kgx9|!e7=SI zorMQnz=T{QL^xApT$%CC++-(y+BH$;4Qb9TMeZ$m)=hb)lQ`uHFZMh$^jk{MZzw_E zPy)ZB1f8V>o+UdH@;y2HJSFTLa0Ma!J3`o5eCP%6XvT(I#ROi(1Y7~Zf&^Y61YRSD zIMKqKS&=T?F|L9HH&N0(Y3c)chPxu`kuuvumHS*%;H53{)ffAlD`Wd#DeNXb z>IORA36Xpqm+VYQxy?**qbA%Y$KJ$6I^m+OVy1TQVDD5+1c#)mhGecH`_2umQ&5=ONo^DX%*Q?1Davsh`iUY@m| zV;*Ga2g%AoOpgslGBsgL6~z7=>R2jsB854c%o~4NGe-?j(GJb)7PV)J+jC^?`KpcrdR0nAl5eQj?YK~nn*20cN2>tQF6pRI zG#4tGa^x+U@|IL-U5unOP?-HpobN3w4^q5{WEKW>#yu_dxl^4O)KZg=BEsYb#r)>V zr$7Jl{!hQW{@ovsKK#7>>c{2X?N6#OChFyN`c9Jo&V-`+8~pV0G*GZ(Z@}R2Qd( zi?4To{GBd#?S+or<9A!fZ#IrkfGakR-)y~g=2`8Jxklui(6AmTL2ZK^Xo&? z%e@ox+M#iQt&gVH(G5D5$pBozx0poGK^P{5$*49!uF&a?M!nf=uvm;Xo4L>SWgXox)ugf-R5rcZrq}f9)xA1(uU2K#D6Q(hb%g^J8v9kP&_g>_6*>*H z8APLonmTm$7*)TzLNAnQxl$!vBq0ffI3XV;-~n2oKf3}*LxkgrNJJd1p@f|i%uRj9 zPJP5qz0XR2#LV(!*_Zv9+nCqrQPDja(z3QyHj6Tyr+8G8kJML}?0Qw*|6WgE%cA zoTe~tGZg5iDTvb;z-jbl)%(!vd}%d4>N?1zmU_RRHn;RrnBH^auo1_y}G65K{!=j)el@NqEIwoIz?xt|mC;%id6dwAkVC*mADSRSTK%ok0R1t$FW__+y$huj84T^4# zqKB*O=?0bnqEI_r(euR>T;K|*ULhvYMMQ>(%$8ESMB8~UK=dU;x_K-Via_RB1TO52F0Z`?321)W$rI@deC&<6+sAThPlKe-Io3z*<5_^=zK2xofi4NlT^UMl1Y z8E{3Oiz3%qnSE21evO}Skri=<7W@r0_&aLQ87go^5J1H_a?m-*6=CN=h+*gOp=WR* zXEDL&(Lt9`ftQi~ml1xK5Wbg?_MrVP;{vV{1Fum+uG7Pu*bz6l(KmUq&VqOsQIe}T z#Z8)aU!L($ne|wm`_xz%*jpYqQk&gZo35`-lGVoWOM=+hPbo=vC~+>7sGHQV>%=f8 zOy~_n=nZt(EnJu@G5jtm+?5pOLJo7rMczclICaHeN5|hJ#Jf=A?~r0$@KMg#h#S}l zCv3!Z5S$~C*YOch2;dri4F^yWb_El185MjH6?75YV8gCr!Y(61&U6O-zg1#sZd4YdVITho}ChpcIC5nm3N2IuR{^oCJSj2 zht&&%>xF&|V$VitQWK-08OCg_(zc~dwgv9B-`#I_+wHiw-En^(>vcp6d&NsyCnZdF z##w4&bkz~^D##VG+Hh4vtnRZbLd~^7{K|M-X-<7{b#65#vPtCKY4Jl^gYdoKwBBT% zwLodEGMHXyElp}$tFpgUG1MX-Z5EF;u!idh{gvqcLi}(hc|4Uikxn1YU<{?x2a~Bo zapd6yye$hUFYaKpw4oWDEe3dHAH2}enWbn?mb4{FJJO|H+2Zyreq$Q9CJ~tzUKryU z;^meY?$unJ!9%ntP)*9V5@lVgvNlm!AFphR13$T_)Ss90v^&?6Tj0kj4#sB(wkG

AFtz#S|R@#aU<&!6{$JpAyHhQg4WYFRJxdDTgr(g;d^05k0BHfZ;^Qu$#p|DT-u%4t>izc7o2~tqyGIZz4o-eN zeElBe=*@@IfEOLW*g1N$efSzY_rcTOp^L>Y!?$O@^n9K!lzcvi^vhz(>_6s9^XF+n zgL|c=I*ln{Pg*a?KwykkSk_4cjq_v<~R1{?Hg3*SGMPt?X$B0Eta;Y zmbS+h)(2;nZ4>kAp)tPIM%8QSdM(SS=b8+Bvr%k@T%k0X)JBt5Z`2#iCOayure3QF zxT4=|uo-kvucl6G(d&B+M#vRr`%(zB0;0AWfh*LID|BC?RogTws|K2MVOB#^FQB#x zwbI~-MrDA;YN?GHwO*srsg+PvNxa3Tex}MIvy50r=cnhl`g?~oQi*_y zWgu$tjj6D5e@wMMsosy#?8j{KXEp}18iQF4At20#P-cA~G??PY02ROw{}9L+ zU%LXH11)xRWdT&ULaxYi1E_%K+ymY~x6Z=b?FG*5g)SXMcRGsiwiVuQ&VN{+^Qa;BNki_lhCDBaD{ycs z9ziD{83fd4R1k0+=nxQMH-Q9=r@(`dd%hM0io!#Zdp-wxg^z)X7y=?qNT!KsG%U;p`|_cb&zhZg3FO}I5HMT#^A^qTm`E~$>wWVd^NpC zLFUSc94Ub#C32-Co}4DuuoMQi(#Teu*lIIdWnw9f;1!O_)T6TsP5ol?pv*F)w2nY0 znfBXHGPNHCVjY_Yv4Gf*KJNvtm|Py1ULBrY8=c=Ao!c0hT?ZMQUIqN<9b2$M`%h<0 zebDSpAPU{Yv}Jt0Z+vBBa&vC^aDDgf_Q9LMUXzH{iLZ%Ar+dJIFLXWmuL#e7LHV4) z23)`fUB(7q$A>ymW1QGY*ZJvA;w)!bo{KWyRh55Ro$I2^x+zS)!jAr)9(INndX^e; zmJ)mxh=LS&ju`YkDfm1o^gJ>2JU;Xs7DB}tbkI4Z|9OP}1*G3agfGY?6hMXVB@A$d z{}qD&6=J|;a^NLO;6+;SMS93ZM%YDm#Fg&o>%6#|!bBHIvYR~pfj0Y@B|l)GB&x3x zJPqUZ&54@&XjOHHtjtGI;-xC|)aE}^Y(sOqFBS!Q+YQ$|^ zq%$JYsUzwdJkkjj>5PlGg$;K`hu%bo-oS+2#D(9)N7xhTjE@92H?Uz&*syDukgKTR z%gCThh`@`mfb$^8;EU*x%jnR{$dC)L;P2r<--G{RGb4`D| z+`T-}WUwSsWg%#JAWH9xu=*o=gHU~8n7(j?HLTMR)}jt>(fGCMyxI+kZKApsGNq+m z*^)of8oJf$w$plNyY22)`-45S=MgpZRZqeiF?OOo+FTu}t%901h0r=kxVj-$-<)g& zuBZ<+*9D3zV<@HR9mSN{CgFKb#Ix9dr@65qu+j_>yhekp)V1a6 z>k_mz;D6`{MOBETB1l*k&{N_|&-2EmJ%`14v?u$wWJNU;q?6H|YMp#$V|n%E(eB3& zFaP{+$G`u>(T^VvUcTA09}2eh@`KrIp&;98(n1@P13KcoP|+Uf_@~(9X9T+|l+|ID z<{01#-HUiteTp1eC8nXIQo+#Z7;weAPyhb%-5++3-`h8IyxTqc(J>V3%OH!tamCj= zK^$!uU&eAm%O!_^A}8R3ANEdu*gkn<-)j19`{jq7;}5&XANP+y-a{vsy@Fg}{P_=# z->VPae;~u)#QI8RT`s>Sky9E@%=L$-KE)J8Qd$bx#14a2Hovm;=J&t6{Pf4&llQB; zP@m+^!K-~B2dMG@{=gr%Uwznq^>OFqr`=Z{c3%SLfd4pePiqvXx^MskT)``+x`4_T zM{iDtYB~mS+m8r=N*RmbaqpO!`FXR(=iUqlGrrD@gBJEu#%aUn=k2TZe0Ig=uD!Wp zXKr(6cFT^6t-ZzVgT*aqlL)khWX;}Lu?n&`x4JjGx;L@3H8i){JGr199^>0=RGo&V z)3Eefu2Ii78pI~Z6)KZSV>IauCWFyp{(=feOnR$cYt{e>Xe~OuO>gWo7@!sl6Erf* zYOqJIv4QBmL<^#}YCu#LyAw>%#!{6L3N)zGq=m+So1rn_Y6H-PTIC>z(Xn3@I0SNq zQqQ-$f@XIG9&kd)$B00LScfY_5}Zg%q>-qt<;;RGX2vr*bV|q_a@t*DraK|)86ney zkou6A=!Q$Wi%Pid~oD_{zV?X0e1VtpL4%o|(bNvwWOt$jwV@ub#xQLBBZ)xH$y+_3<1l`pB% zlUVT_Tq#vv02Sn4QSpRmM+LRqgI@8BS@oPz^^9KioL2daQt^yj{uI28SpJMq{tRFC z6kqxjSKlZ>IT|}mfsdNd0A!XZpDo)E3_OnXW&?)CUO%ET$ z?g~fAf~)AZw_Z3(89f3mPo(3E4Lu?qTcDx$D5>3YG8aTf>XB20D!N2VmuhJ;Emfwa zNHt`!nk-RMWjdzX)NSbPG4=@zeIi4@#5f?g3`0ky_l;}&C-g(pKnRB68RPJbWo*G_ zpWr<(vo~ht241v|FPNZ7Su?;DmcBVN0LJ*dd3phSYiN3XVs?9R z?d8@!w4H5as9(y(k(#s6SzcX17up~G-|(mZjQ0AD;C~Sta0wl76%%xo9Ce+Ye4U?h zQ=H=>&%doKxT7w-qXpMo7jfEkZrnvi7m&UeAyoKY#`<2y`CZ2QUc&pH$N8MYdVh=a z{s!msTb$2tNdDi_g3dC-E^s5S@ME3CiMN$0cMTbjdb2(IN(1}qqx-v3`(Y^qU5SI8 z@gp5^lkIV{ZL#A`F#|8aGc-zH7NIE)SLB6=(|x)V9@8V;03={xPOYI=JA$uu1vw!C zZy*A}^(HdtCOX6!7v@5Ua3MtACPv;SM7rQ0ayX%auOR}jzydCI`d#SsJKyeiw%zX> zEbu%c_#!d{xZ)}z2FC9i&gU}G_ZlVGjTY%a%Ss})VzAsHtZA1xc}U-WMc8`P zK66~rcUYv~E7a^1C^vGYo0+2BRNi5h=&)41_rkJ`ncNm`?ezV)C*N6y^^az9^f4r3 z6n-EKJ06aojv~#*Qs-j`Q<12l@D6Kmr_Hac&kHe>(50(sO%u87by#2K1XOu!WlA?6nWvZ_c{ zX)?N~pscDhx}NvE%@TwfjHXPaac9cKqaB)lq~2O8vPIMTyh%f0jL9V4VkUnrowb@u zUQNL+r(kDOv6E@o(Hz2PA!($TJX}Z~$S3xe;nnRZ2DPh0*j1%Ol$cRDW<-{{Gh5P< zEpEwG!E*KJd|_)6BHyn#;!Z}OYeuj~dU#-EN-VBCLk250!1K+mY1S9frs@z)S%9p_ zTU_kRuL$U=2_@wDw#Gav^Kz+*@@*>4fOR%YxPu~6XA16Qla&YqL3lBc;F#R$b>sMENz2xEO-gKbi zbeh(&J>Vnzuix*ye!KJf-OkAmJ1;+i>>YnPIR3PM3_bL>Pu@bV`00x)etb`8@4(lU zF>AAgH3{s}FkH4@ThbF$aWuWFQp6$Htop@`^^@QIa{S>BJFk9R-F~^gbG*I(a`*6L z`{*@vvg*-WQ~v~+$*X$NTvkU0<(;GDox|lVsOw{S1LOc?Y2$Ed^KfzVaC&ubWO2Q3dQmen4qQRes;OEvQ>WqR zbv%P!Y%)TwFq^d|v)*Vjnygl6`J>-z0_n3iS6Fl!paO$NW7g_zI%A*S(5u&34O-w0 z3$!?*wSnk#Hl6l!v|6hp8nwl~HPx(En?6Tl)auPTy+v=d>hxxf)}+xGfHyRDRA`}? z)pl2i?XF-;6;!c=C>G(x0<4IS74tD-$Q3xT1Sgi^Byu8yN@=g87e~;to>MX&5>s99 zX}7T%chMQ{nDmF(q`SDd+n9JaWYPn8>SJnMx{QJDvs#9S#wNyRrl*%DXBNlj=11mc zZKESPt3?L>J&n3Sn|XS$cR(Z3aj_z7EvG$;TpNxld5Qx_D0@UIcPExTB0?ny4?-!x zfG45M8&~3qDe^!UKEalF03r>m z_NG>OQ=kDCUc?GdLiuz1_^c<$y!)M5x7(o;)o*oV-g4ZuXShIq$a4L4pQ)qCGt+*} za)o8P!R;#`sQic6qDSb$N2sDF@Int*o<~=XM`xx-XVz1YuB@l9>}Rl?ryz*Dr@$D< z0uS&`bnz2R$zxoF2ch~IvCflN=S8UXCf0s-1qR8$qL?@|3y)#ru^b$piz9U7h}}3+ z50(T(!9$aIC^8R8<{`*{6Hs8}o-Pm)NH+)qa)l5}7ZDg@GDAXRNEu8Sn&itbZaI9e>Y3aFp~;33fRg*u@~FA(W_ggUN33v|H}sF{2Gn#UKclS{qRD}6Jo19R(rv#a19ykZ)k2jA5WO&JDfOarslfjP_Yyk&gBGQHG4 zy)rVhF*&=v1YEKAe)sUh=*Xx-#Gt~s*6$L^?=mXz zDk<_hE76IUaZ{9aOPX_Ak>{$)hg_k_bCqV?;3ZyR$6RDaUZ91ar-q&<15N-`1fB=9 zzz1Kz1>3i02A@L*okRJbMfjdU_?$)foJ087Y2keV<#Q3`eG%<_0pooh?R^gIbq3}6 z4a)PkD6fA-d;JU6=Ql+EZz+Li=^+>FwF@UvoU=0VwjuehF~`GL?q_U>G&e_AjSY3dh291?_%LvF!G_+#ggT>xZyBYobT}a9;7Sa zJUr+EBKQ&_txzJ&L>ME1K$3v{C=gi&gmNhA$HK8NdDN6+tfEgUzD z9F>`l3N?p?n*9RxUY_b8NB%NX{5o6qxD~}I*);Bu`=JG{DDeRF1 z##Ah2F_yLx$6SqPuf@?9V~A7H=;1K*NDyY+4?C5D?yX14sc@#eqprUtW~sq-weik+ z)4k2+hdT(*19H$YH+mHpG2R+xt_apt1lwH^EUSx9L#{|NHb$EoLQVAnis}enSpvB@ zr>?3!siE7i%@U00kHC*4(kDv!!yU?gl(x4-*dI`t;ZT@$S!mJ^0<9R^R`$`S$(pt2akS z$H%XKeD&k+U;q5q(ebHn2C2C;y)`?kEy1@V+#M131e@}VlI_ha2~^caSnRIQ)y1jm zk`(X?84a$K_Kb~G?KmOL{_7wAkN@hwfBxrxzH`qRM{NCF)#BSVk>Ba!cL84l{)*mCFYe8z_-*W! zof%)V*Ieu96tolM-R@41r|%|hiy)I<>lL#j?`B4zts>Je--2&63s3>M zVtoGbo5`N%qsF1lJDhN2?L&bW(#sZZN0}My=kcH<(REYp1E(Y_OVi zoscWkMio@A&?x~hG-j2q6S_h-4L}!A)Fu#>+C~eNNx2&%h(c+UDo!`fXT z5aC2pd^?5MP)yDaA*Z+!6K@a_F5(j|ViPW75}eSnS1^$mu^|rV&`XHOYw(ymEoDh! zDxu5L-P1kT-8I-{9k6!wT6?UWeI~tGtyGC6LXJ|zF-SOFGLDXgl@Q7~4XO0X@YW(P z0^mXRbyD_KQnn*8%L$)(6_;@hp9OB-CFVF2vhU$C?_x7<wzm0fFdsZ=8D7%jY%LELEy=kno_Pbr#J$Wpwh3QGj4z& zGj257suu9n+l|SPC>oRQ>;;~DyD8-kBJCaub|0MqonV5=yo1ZVM=W$Em%6o-y0?^g zkW0Mmu0SEFC{#NdO+#boXe=FtW1t936oG{zvXDeJf@tFekqsxZ8;R@&A`7IRz^o%O z>j+T5<0di(N#S9ki4y`6)FvUKwu@=dkzo>hX9bfXW!h$GGQVyHVX$Qk+g4K$2GdRp zdu#$>E4W-GkEiDGH5~#iPpIXIbX<{+Bhs-%I)+F~6KUE->Rnw3m1Kc}1g=6QNu+8O ztEplQL!xEM^h~*)tuS&_<_>MAK;I<-y0G-it%HCK>fWc?{^z=Z7rMb0`k@gm;6(p3 zRo_!(&#=5}ND7_kv2`H($L&Ig;F4>ma;Xm;7(?6R-f<$HwdcSyHCq1?ZNwyb&{AbKAn`y6fcJ5CQc z$qPCq2{|o_ydX$$;-%ddWZV^H-3y!*>kQoE z6iAaN2yn&8X73ZWs)bD#o=1Qy8oeP}H2FaF3WV=jq}NHb+hL5$VZ6&pl8Xb`&yAFp zL#n0XD268SP)+CC((ajj-E^jSDqT1Olg*~97GUaSm~suK*i2V!rm5Ca)Qh?1`P#ub z!pj--lgTQ}ShoCSs^C>TXEcT}9?2LFXN`xk$HN$J!l}ZUe;V&K*B5`^YS#zqQDP0B6P}HXhtK!+E5x5M$;)uHd74be-i=(}fS<%$u#E!~DWnF^i zQKY&I{9p4@=6fm%ycGq$+-xs$vRh;Hy{c%pk_5lJpuRt>xzv{Omz*qAfqKOmYMsoCEdF@-lZb! zHZm`oO{~{zB?H3)FDIvGw!ciTf1Fs@fHt&FFI)Q_`}q0q`5`bk9F3nK5<^ zc8KM{p%MT3$6aq6IeLuA6?_YZ{~aX$%VrFF;bQMRva#RJQr|ro{dZHre>Zz`chJ_@ zTL$Irg*2eB!|UgDUBmPOvpz8Ieyd_7@(`dZWf zL~QM4n@kj~imFl3G-{?+!_#R+dV}0#Qku*flSOZ|m`qlSxx35U+iC1E>${A)PQ3=| z+k_TDG$ysKQ*G!{LnRA92!mQ}1P?SCvl>VPiU~xiHYx2_wMn5i$(06~!XT0BByz1- zrjf`sQX4HmpwZbXom6RC9Fb~O5}it-2T@3L61yv;3Yu8bDiV@~e3Fn)6m}4V9XJ6% z1s}KqCluo(G8~PHYb?j+MBr0B3CXvKNtcO97YT`%@QIgkF&A(V=WxNN(IFR_Bd#?> z-zS%)i)a*U_mH`BP^0OTO4L$`L?-KyE0|JIyM)^+q7%hbtdxR~w>FBddX_v{F*D2X|sCmw9x%VkK_gk~?k+SaMGjHQ; zqQJneW74l-Vb^i6>-dc8gv=X60F10#r0m<|?Ay>a=Po(#9y#xROTKe!flU|rt|W*S z_pw;W~Q=L$0SJCO$Q0Z3@ z>5fh5SDK)0CfA!&fg*0hlW#R9-E2s_(U^1{q$%YlGVLw~=7NDaqha?@>3|mZ@wosw z?&L!6mO|gwq5!)q5U6%2Xc_`TN8sqqct$gU*-T(H6TjsIyPn9dBeH4REuPT`xuOFL?cflSplO-ncAA6^9dT}tgh7`uY?H5`8Qsj?`4#rjSaiE9Y^xy* znwZ`$Vzi5aKsYRU2UjH&XeAP(RA!bbI;BdhMA6BYnYj`JORQsvbwC$XpbL?@MW`YP zl!OjBh9@QPWG#F}yHEw-K^3dp#TuGS$5a~GYBNu36&icQmVUqndDmk=2xZR`Mei_( ztoyOFdq`p(5O?;Ap!CVDLz?cV#-0&l|A=AmrD6EB%@w1APv1U&HTPzGV{CG}cksDF zEoD%fu|?sJd`^{K`lmPIcDrRcHB8$f&-w1 zG!3}ovLxw(5ZsAA!wx@94?al^JkjcZoalSh=8B^jZzx!wqgcPA7+>)CFxv9~5^}|U zxXb>=`}-U2?XSBFrT*UjhP(S4?(c^??}xkYZ*tw=?7k0S3(8|3%6&h^;~>W45XSQ` z+52$2&moTQL5Ba~w!mYgpi`}3XWF9A(-SUYR@^xSeS9IN9uV3i03+()U#JgA=>83$G&$UWWiJ8hws8`JHa|JB{={j&eJQcHWP< zdjxmu1i|$tF*25%*MMu}K58@NOGh$P6Y0Y7G}gNm_GG$bE?u*lY1qg%Z08zwGIcx2 zn(Zjndc1Bq(==b&HC@&b zl>R1=`Zk091j#muIwacGdMi9~u=LW?vdbgoSKn0JeA{q;66-NT@q3N(8LIZSf?rke3EX3PO0fv53;@oLYJ~T<2e}ajQ|g)~cfk zx+0djPTZBt>x-rj1yY6sTl<4ryTV&7@hw&uxhsR*lhE29+BW3dI^>4!xdS)5*Qt{0 zISq{@3cQKYP~OpyBdAa3H>UC6X~O1oB{IW^%GSbDJ4&NkG6U-4+_QsjhkIN}3bJqh&q5*r9#Sf&pF0y=gMX`^%JeZU1gO0ji?Cn$#>Q)4cEUwC-a@u;I z4Q>ATW$lNbraydnwf=E*`NPD**7V%Q+~WGe%KFm!+RBHI>z{ww`sqKOj=UD}SWQ)V z&AIVSNdZk^_i=I1A?eI)A3>qNyewF6bA_%lLR%TDK^3WJ&00D8>9e7Qjm=O0{-5h# zeqGr5JO%Yd0JPZier5$2U}t7!XJ&N=+HkS7J-N6wzOeCbZvE}t8i@VD`25Di;->v; zXBW5U7PjUVZL0~8D>kNpf>z#7E$_@M@60X%sC=AX|1h`pVSal@|8+kIa0R-u8kL(y z%#Lc$^dqKtG{!iWh2B9G#`CGD?jGZlS1(>o&rPg<8ejbYzTNorN)r=@L;big1jDo z@@8Tf#NM_6^=Z6&{$}#|*pzK{)?ELqcjm_JYgQ(72QG`qcl zOKIpJHwXyzJY+e$A&*&;MlXw^7WlPgJGW=wW#ryuE~Kf9Z1RN zC>f6QoLj5{XI4Il3nR~&l6{wuaSLz)1fAxDP6fG&NxOX5_#MOpGr-nqw#-uAv z$=8r+cd#&5Ou8#N%^8_;4_vVs?!+8Va;|S{UJxZe-0q4-R686^gQMwi3>}VTG~yWz z1ZD$)1yWC7gVYh(wM6zK0;>iJvl zb|bNe4%h(oXG&-c35^M5PZ!Lu4V?BqPc}pL)fGC4*eH{lWipFQZV}7O0*R3;(y@hF zmPpGKX&GWIU96=^bX2jX73hMm0H|maC}~19O{CtXg{`ZTsW7lrfEJwsLpRWc$kYpf zA+q!d&3yuMFW=PDVeH-u_)uaQP+Eue-OqKsFLeDQy1|zwXj93{-Y2gfk4!xuT^V`1 z(LMA+Y0$8FWI}mdZNQn5%l}k+W7idEk7Edr69~^!c>mM3Eg|O^(dSq(=eThWg2W5r zluOdo%i_cf!uWF?kSk8ngHN;t9B=VEM)Wy?^FD&L&837!NIf_LXo2xLg7!LublUp2(Mg2%mX zN_dG#c!5lOhD;o4jP0+9>M9E}76hs?y(KBG9dY-Vk+<4Hu8{*B@qU*u56+`Od>qie z4j2%>a~S`#NT1V9-X|J8kJfu0uJbrp>v6Eo^Jty-$$GC-jUGpv+zue_??c=x?eg)DBaMso9+){Ks)>8xj|)E6oAHz^&HDYAuBiKNlbiRJJ(6Cr+Tr1G6ETjeIa%2^3SAunVs4 zE0YXmbUcY;J&mLdgiyLdS}d_-OB$&YM(T=b=?kPh_HKRbiS2f8G6dC23L2?|Mg$jL z+0j@eXvh*Y!uW6)uL&k>hA9v*Jqo6%OJwASq7uBSBU}qZT{424OJlr9`C;<6#)(0D10Eybrs~g@$AP*2!2;pAO8gZ+!Uc-`2kTWp3ls z_TSZ{*$B z>$%0Zt2^(OKa4MI#>OS@l_^@!2WDMH+@pNozcyw~;_4v@6aUhDPqmzIZPhP#V_i5PYaXlZMdiHku*}Iv(mv8k$ z&m^6F9cC-rXrdW(biJ0T)3UT0;0lS!th87)W~oGOVb7)I*Xiar!&$zoy_d20HC3gbDzO zbchpJTQI4PnA9uilq;y@%OL3F%a}Ar9PAn)^Cl_lc1zAZpbK*DJ!0-XLJmO1O+xlH zT$U3y!x5c+8I^VknPNLhB%!+3s_K2F z>U*vocy1hcY8iUg`)q9J<^1sLW$WV+mDS9XF-f(lb-@m$j{j79^AAYdItXw@Gx$~A z^EA%?3?wyM0D2-5`=V64$5v1oawD$?D&nbe>iB{jERKJ6?z$5gaWAxBdw6N3E@H1@@ z=V(zESg}`liPyv_Hx=o(^_ll9xvss1o`a=6gJr&h75;;jfkV|nL$#rg>%)iZB8F=t zhaW`_R)zJH1zC&yjd_0BY##;8TaxU~k9X!o-(^JJZV$gf3B5`Vb|gN$gb%!c@;wXp zI#KU&wATGlwd?*W*8^29M=D*8SGt^dmKorlS1vlLT#s@X!# za;bi^M7LR_UN2CrW-C|I)T{BjwRrVXf_x@XJRT>SiW1I;304Y}vn0z~&ESYh!LpLG zdMa)VlwBJxyYZsz)~nk4V@Qt)k`Hjj(??$YB_75SA6ZEtuQ*sx93(Cdl$Qj^%l#FV zeu`>8RcU~#AW)GP(OO+zjc!k;=;B)qVPs=yt2wiyyG}cRvkt>`PpcHq^F_~6xR1kW zeGgl^B1zUHf;Ac66-MmyAwTvYJr2NGBaoVmW4ya5C!_}7v1dOgH1J9->-feCy{`r^1AAXs8|I^Is=lPXSiz^>j zmUos`-Y=|d&aJMmY=7GR;V++m{r}!hP8;-U8VNzD&OxMw)CJ#0*qSyeX)dg6PeFl? zyevRf9;_`7*H;5q6sV|ht%N>2+&8njw)vO;SpM|$%=$+l1bgKHLc;2Y*|m>z>!0=l zKAc?x!1!PT#{0>oy~+ku+<+Wn+myPv{C*MIpt?1?x&gTYqR0o3sf7Wj%KB{A6_bD;Pu@-UycpH=4+~6IuEESQ80ZEaUaf^_ zq1Kw9KFnQF7?o>8_8ZB&H7FwxXCsXKUO1(s-6R99t$o|0?J{YL#O4Z#kRlZUV~~UbJfDvf32`zRUZuuzSSUmtA}J=CEf=s@M zOumE!Xi3>EU!Z|5(yl<|jx;A^%5`M&EmX=)boxz9#&vAwRczK3Oy(tYrXwZ;YQ{jO zUq_~0L!>&PVAru(H}N@l@j0&eEH8YPpWPKzC~6g|y$VIELeneJ^a?D!63eIn!R@9T z3KP0wp$BDHW;qCMHx)QmEr|=K@X_reT)UV^lagsN3Qg9&=ZbbI{i`cz&_Si*cH8Oa z-?{=i)s!RWauhs{(iRnus{*dzcWC%LwZL`-AA(PD*$OsW&fzGy9crFHCy*FLa*I@D zm8z{GwN&VU-mqk>U}Y99)79r z>k$~lEzMc=;TOxU{-1TX{{;#4Z5~B?9B=kG)$Dl&=YO^>&Lz_&!4&glyVE`wf(uA$x03Le+7#wPLKLB^$*W?0n zpvm=6v+L0&caY;v?kC_N9w!>zj@7#zsdqb6=X$W#^+285fqJ)tjqXRAJ&r@&3qIf{ zaUl4gA^V?b4LD2-I>rt=$&WhAi8x0OKid{|wl(B5Irt1I=nOUNEGNoA9CuNfbVZ+j z&60h~l6}XNbJvvXY%O%}DfJ$x@PG0sc%&h6v^nN=Q_M?vG)ei1yB@5#zpw26{?a>#if$h*zJ09x z?xC9d`)luiUwh~K>YLwH-#+xn#i7po=A(#!s=VCtW_$^en@5sn67{L1?)cW>sJ2(( zZEr&(6nWE_o(NvCfu1L93q4`judtag3tkA9(>o;=D+iBMK zDW;8N%~FzlCPB6kD_f0}Zx@?4C{I=lZx=f)3M;*&tMX27`OTrSTTjbwjnv$K)9mpM z@ADer{k+!eak+=3%vW9-#4Qfx7X=9m{Un7x(lTFJrLVlkUsV>ME%evshtlgx8%fkW zjt<5#CvvTc9lgcsL1fQU%J2(f&j{A^vQhmaSM)TBHRMm}3ng{O;jD2OYap)AoiOZ1 zcpQPVWMLKcXjVH4rED%SHDxKAvxUvs9mpIZGFObulOQrBjVa=~SVl=GGRdbT@LqYa zJ0>NRU6LZNP17~Uci|#Bk)it9U{&!$Nq!)|z@J^<(+cxI#@??Ex=|hNS(_1AUzWvT zwhRvUt$+T!_RG(6KmGjf^G{PBe_Gi3adq{__4OY>HrBtau6NW` z`k()6YHp#c+rnqHv^EwaVPVw|Z#0D6M8(`9B;0OKcj4xEh>LvWr4Kb_VK!IftJ)eh zqV}Po?un(9l|TQ#3p;EFW|ao40{p7CXL-{#_Y<@ z{OZT0RluH|1%QXut?5;$xngqh!^GnIiMj2`*{#X>t*Mpm*^RB4^)1!b&aNxg*3p&a z==?NFUKBewfSTclN%pCYdqAl#)G0g0X5Ni2ExldZ7+u~etAX$FASg6^YH4k98QO9J z9YM0VJ-@KMIQL;@ZfksQeH5Dcxi+=9u~$+^g=Ou1?X5d^|87_5-=AA*XNFxD011E% zc31o^zca>O^XIp^_;!6{Vs>R>)^@-O_}S)G$7WYvPcMy3&h2(=PRzb|I}ISQH+Kta z3LUkzVZ5E{dj4A3JIK`;Svmt#uV)(cOq(m1fA0#d$*MPY8I9d0V{fOi&#dpUp#q9Q z-=oua>kK_wLytz^t<+lNYQ0RM0klwQY&$zN1`wMl47<@7)mpPwX92M{U?^24h0-8b z=s~~(g~}jR>4Yk+@E=^Emgpf@DAX*461aja5t1Z=7OAjJDx!!*WRZZt=i@~pyj+IY zXt6vF3fYLvhoMqKamk*<_#31+M{=BFOYEhVsPm-I)1-&T@SzTv=AzUe~GDYQXn1sJVI>Q_rUxSTq?C!EG#|mL^dO!dh}3kYIP(vTieTZu0W4 zbMvlo^PISOj_lkk%$zIqY)3|p6Fuh|E$4cB_6=(0jkb*I2Hr|;G)c2QxUj>Q2^uu%bul53}h%@w-=%wQ{dYz2>{=wK^B_*@mhhES*% ziH#DeSqf-jZ@^Gm#mY{R!Xi+Z`EnyqW&pt8NI`V$uVG2`Ko@igH1&ciR=0`O6tQa8 z6*4VNp=YR!ERC6~?d0jY1p02Fv0r2v5?hC5-GhprepPR;Zs57;@w?6^Gy37z%EyBu ztEv@K*cg4a{Q7^ZyZe8m-1gzUj-ot{H@cr}^f-<2J<}3&juz&?h;U#iT~?=GQNgb2vTmAk?{*cq_Lq7MSNXlDd-%Ne;j`MHr;mc3)Py{#342@} z-d_>gT@nmvVaN;609|A}5T|(xlHE87_i53$TEnj5gDznL&m;ZM!hO%wd!MOsKU?j3 z=8@ZpTDQZ1LpAsJRo?lo;`YAsd&kS2&sX@}uS|}quBfO+5-W)O(solGtv`+OIF|G@ zocJt+`1~R9c}UAhH1$mq<83nQZ325Nj`Jp|V=_~;R3O_fQEZnf*DF-ZCEAr-;~LDe z0W+;-X_s@93t6h=49$AFcDug!J@3_r{`sAOK2tBdx~tlyxBSjv+3n$yThD9mzi#q) zi}QJdc<{2p>shs@wZczX7R)UU?p@2<7nzzUu{2_u`T4Sq^_VhB*{O83-fxMq#?6kX=FOZXZlf zAl96Lku+lHR1`*ps4+I>b;4nqCYZPxCP2VM$V@3JON@YZ)Fm-1Vp{S-5lQ~lVV>}4 z-}dYXWlf3+o@{A~?raV=H$K!=KU9_m2@3+*xxQ^#-q=)+`dF8e(0jG%q4@eDHiKm9 z)Q?S1e*E>X+rR$%;*Ym4c^edtgU@sU;nbP`NPK6k1K1R=a=74&u=VmeBS>2 z>kohZUo(r#Lqq)vDTjfsMrTJ<23)HTy^e^wi3hHLxpd@t$x8jfUy-IfTwfKZLFK91 z>NKLZ!J+Q)Wylrtz!hsdz!keI8n$A^{Kjvtu;<(I#WzKauf|vfocOqG3wW!YUE7*j zwN0#A+L>D1`C6|4FaCaZ^ZoStmU8pG{ohr`)ip#}DJn0eH7|;j7eLGM!>9Wk7G=DOXUX5`YS#nBO9?xk3WUaQ6PJMd@(zA%fB9!W^{ zA;#Y!#$G4JUL(d_B}QH*hMprnJb?>2i;BF`6nmRel`Lbo^bHR64L#}Z9qP37nN1dh zUZd4WwQ`YGB+zm@WE4^ds*e6Bk6NDCS`)N~IgYd( z$MzgYYWCH(?5mWlYm}_(lLdIo$`bBKo z1x$(qCguFDE&wx9E`p#^Et1F2}Je30%k(t$gG+uAtIobcUSCP%!Co5EgWmG8iECzD+6JKFymW2dH3k z6U)&pd%VTx7~cB``YR_8KooBK&~D%3+`hxPeus74hjrVJaXWx^J&1BU zh;%)KfXWw#;I0SZuKOEZ_BFbE55@VrCf9wNz(t^)WL(a8^IuJw8w}qW!g`et(I4+7lA&)zuPCThhIxR~&D@k^c zr(V>gJL+NA%{jNa3hwq6JNFd3bQgiRb{Bc}6hG)G_U$V6w-yC-76o<|2U&`P&BY<+ zk`PmIsJSs+|46VDdOXLD3@>AHn%-C~husZzC4rCqHwtXG&f z$&Wv1-+g(#_RGj{-w>~%`;kX)#l3;DJ43~{o>kv}1@{=k`i>$WyoP(fs`Kip27U

W@h%UnNv)YU)oTtgsiBjDds_S)2 z?+b+fS+(Rz0p~G{IT%kHjHC=i68a+0z2VK>Va?`Hgf;;oszJ2U5e-U2iLNQn0?)KG zrs?3xGI*l6DN%w*mZH-H%_)qk1X4jXHZua97K%&^Zb=Un7Dt-uV!IlnJL^J>)&9CF ze@*2>Wkm?T=wW--18lNeV}g5iyk~K|H?lHAz-<{A?s+ryZf<>J>!)8fe)whi<4<$j zU*VTHjgO__Vh9Wqs?%W#Ed%o$1-FrPVJRJHLMX`ERpJ>(5_2Ga2O_ssRz~QnVl~KIWm~OUL>YYCHL<$7_Lu)y`1JF% zZ5?E(%$uY87v#+Lox)yu1^@Zv&5b`m)^f}Q8j$nhs-K18Gkv#~Wjo$9%*)%l&B zsqIgv&N}R=z}3z3&E&%KiK&svS@72U1{xE(J_G(jAXmJfSlAqc=7$4U?7pqrD-V&; zvEOb%)tS5hv0h<6sB~g(#l92*sIXV@*lWG`w#oB%y%u|27Qf5n91z9IJKO1OZ)aBC z&aFZ93gC+A#g|hH;Ew>!udwYi-8+Be_4v%Ii5c(*d@(iK{pyXXe~@i3GIhVXg7wuE zQjK)mgx=@CKdLE(%*9R2U6?Mq{7e(5umRt96hopsgQjy+&iy>CAe)MF(i1 zF{*(pplMgo*ekWlsMVPD;03jvAUaK_R%KDy=4IJuXDJj$iP9jnl`Q0Py+*3ni-B?s z28ltl=L(s;O)4RX`FL?hi&)SGXaQUy+;s&(p&;mVB%z=cho%RGA+2gKWz|fh#o^-JXlGU9q%0 z3@zVAiy|De_%~N@stCMVQb%JeAJHbjP(^#LU@+t?rjo@_vX}}sL&0Xsm{7i+IL1+c zuz)4F3Jy=n<0-j3B`^jZdIHde!tM$VFa}G`X2`g7SqEJvU@E0Ntx{lA3e8F(xEf`A z12BewrxA8&B?5y?Xp~Dkl}f8h+oRI;Ds?>yU5`xD1u+8{Luu}i8@WP_Bn?0JcI_W05)*>4q+R0MRNa+ z?EWW`+xJAb@9?hQ<6QP(T=t<|_9313A)NO$IYZBEa{g1Z^S?Dg`6JThPe|84VIYSb zAh;bOdK@NrAI18fzyzKq_#dbE9%ek)$M8MG3_Q*V0_-{87JjiM@^X8`dB_!EhXs*` zB+&Yu@h7G6rxghf>g4m9^b5L-OIp}v4eW{r=A_HGX~?>3%5gF0 zd06s&ti=I6U|X7Ss86A4c8Wj$n*RK8D7j}7fS3+ zLbxL`@LYq>@fy#=<*wfs-}_VU&3&*d2eWUTDfhkGln{h1Dtn>g2p(PaAQU+e+Sn7_ zsEcn9~tL#m}AMc)vwY>1LJM#&JdGIRp3DWSDAwkabTo*IqK zh@s@fcNE8JtE2kiVFQi9oj??Y-l}3BRe7MYCX`qDkeu$-7=6Dg#;q*Lw-6RW!acI~ z>es)#-~RdMjURqq{q)nyhaXqBzN~J1US8i>+;~5~vAwvtv$FMhZR^LSwJ-AvA7`ew z7ni@RZU4Ic!+*{#Z@n3P)8B8B(lCU=xC;MWSCEqLuyQ;$Jsw*ozNbq4e7q@%HiCD_MNI2m)e%zP(HVw6Irsu=@l&%|0Rg+rG_RKg|Co znZ4&jpPgHKH?ur8vG`_Uadc{Fbar)gX65xXaK+Ng=|!LmK#SKCb1%ndUqWZ4&AgeI z9h;gPot}F=GyigSzW2?jdT@|!H0~~f81<}wbcLx)qlc;rI*moI=`?D)jM`mSnDl)n zV?T)96)LS&t?krk&0397uQMABohGBzptoo>CXL#lR_av>ol36NC=JjtBHB({tOku$ zr|N`ea@r0M0a3_JUtOV7DD*lRBnqP~UtOVM$mA4>7$@q$iFjl&zfCNpiod!-EG8?u5^{O31p3%eab$Iig^WxU3t*ygMz0&MoN#xMIXvt<5q5!;0fhiNk56~NflsBJvE>{l)d8CZumJ>e8Jl(q7z1T<1uFR* z8dAr38#zD#6@Kg6Y>GeA7;~y2=2U&usk*3B4bi6>V<25L$Df0$7U0X1PNI{Kp^{Fa zlP;i>uA!5`AHfloas{342!42g3PR2;T=rdDmJ22mn#YCAxPi;PNiM$AUU837dY@e6 zO3dGNMQ&qDUK1t1xvdbE!CVI}Cjt#xB0e%r_f_ojqdf6KVHL>A;BW z$#d~wPa759l;vINy}#CTKip#3{}jphINtjR7SO`u0MdOw%6%Ws z{dj7Ic=YCuF#djdhE`Mrv`8TA?zoA_IgmHnY z9C+97h;HBGJr7`f4x<8&+gX7;#V>c|aI-h#!4~7k#WF>VzQblrZYFB=(Fv@r*L%tRnfGJjp?pbU~4PS()mj zPP?In-O**;H{`gP^S!Ob{ypWv{Z-*ZkD?ye#SA=(?yHXMsf@5zgjvc$j3p1%1^%*J zA7Q2!H_erqbdMT$vnA##A@VXR-LwwExdaEN`&dH^Y5u}>nXk4TX^kps zE~6-~G1P;1NZ)a!|Ks`~LsgitIFeuRkOy3m?c7o5AuRWS>J=6Kh7w;>VL(S|8lmD* zO>J8NL6^#Y6)#)KRn1gu-!^GSswB?}*pFeOezGcSC}?K3U(8tZhtC!DAIoF;aM}xG|nx6HhFNZA^`Zr^S%-;yD$` z@<$2A`pEvqpuV~QOQoN-#8*-5CoKsOmIcuZ0x=nWHHi=Evcgf-S!CQJg`#6*^u>pt zfByLEzi<8c>*~i}R^I=#viSx4?!UAKE#=Q|ykFS(u(a`UdGj-P`<`F?Fgv@wxbkIn z>zB>X{||WkdpkMt^jW`x+e#`+FAus~A8`j0dxw&8hnwx8DDgMdgzBq9wN+uNswf32 zN7h!W6txXJ?wMR&U;p)Qi=Y28W7`ihv+{m^{o}$W)KIYqu7C{y6#yGh9b+3jm|cAj z?ksG4TC_c3ansgxvGED&$AEs$Ppj)+R@Of+LS>DunYHa1=mD_Dm-+P{7S?}U-1u>6 z>&NByKhCXxP_BNhS1d0zRkG`HUH`3sk3Ll zC4th|)%SAL^87{5%Qr)#6VKkwzMfp1m|2^f-=106nq1r*hnhLp#}{n0`1)QyHaY*h zsaf5CX%wmSVrb;1UL!N;rMuBcfh#l} zG8I!QqliR!K?hF2BMSK~whgBQ0UyKXVT1y#T!zzXNJ2h^h^1AR((;liX+h*z7ku=4vLhT@7*yw6TLpHT4wxu|Tkn4$s-N9zu!e!pTWnIH(Ux!X6&AoxmzK+Vg zhRD2z&bfupzfXk5X5J&_-2(5|_-rR!CZNS7EbJl{b^!}JkAqzxWI$C5JnSMa{Q?M7 zuSh*-M+F8##f7i+jZ3zL5@?A8lX3xyt(1ZNN{hd9MeJ#tD^Aw$y5clE_Doa!SwzA) zMB-UQ;wePpab)6Y8#A0hkcp0n#LLL!E9g{5TZ8Czboy;{+C5a-9cZ^m+BHn(4MOg% zmZCePg1dyg`?&1g^Feaz$$5>Gg68&OB%=sPFGSMwAYHWQHd8_JknQ;>dI5$}fMphf z;8;aCb}@ldLg3oMDJ5`g?5=1PVA@1@s+dHRw$f$o3^@bP!p;f0j7gWW=u$RA%7(Uk z$T@6VHw72!rr_FW!Qm)4ww_Fo-3Cs3qbAgDq3Ga1ofSf^O5CB53Uo5y2M~c?D$q;# zIv@&>EfVmdP%jZ1q!NQnYLo-$DmsBNz*Vm3l*ug;nMouy3Z(|2#2}Cu05e1ivq)(X zt2)JMt60+|0nv3!^*th87hl^6i~+6!ZKqIcxIbFauUBvu?(KiORIZ&;T<;#~d* z!R5c>-2RC6{vP3X2;+Z<=zkD=$M%PZ>A}aCp(hz(r|6-lX<=s=p(j`&$2h@`Qb--5yv^@u$UcXC(3GB=HW?gp0Do%ktza ziWDbR+6@itHZX=U$JLzg(OLAsTI6Fbf)+};O8mP^0=h~AJIjL1Wud0BaASFxp)5>a z8lou)QWOP>^87h4pSA?A)nf`tR8$~gQEDwj@VQSeNX?Fbtbk=H0=eN`G1-A8YSh zGQ9iveCf}NAO8C1pZ{}x^!ZycZs1W+Z<$AT@tv;xD+6WMp4HxY)9m~f={1fHn8b!W zg@<+4gv(39#f5?Vya(JIH-4dqsQiJn%2!$Gt1a`lI-VD>pCvP&hti+>QicPuT_KH{xJQEG+ICDGhFSkeQeR+bNVU|* z>+2KM^~uVH6cs#KgGf>~CrauP_?7XDqBufU3_Ljs0gG-gO_ah@b%-Q0Jff%Gzx$D| zxjMj58K@`?6cqY1a{Wlz0r0Glip&U9T>+m>?(WjPeDh*vadG?0pWpxZ>(-ZFH$MJ# z?fuWo8$T>8e}sl(ukI|YgM3(6`>?q7VFA4RFK^E+ZY`~SUfufh#?HTk`xCRXuSTD% z#cWbdVQGX{eT*9}!I_qNm!IXXEPP-t57bpWR8|Jbs>3AcY)M;#Ttx35>YrHNSo`H~ zi=X~7v;J{%X>)e-x9kc1u*l0ZnOcPY|)NJt=b#5%KQ?{m-nox9fWc@lJ-+4tUA@AX|@z7!dki@f+e zpXc*z0b0CSUWdaOAEs+ne`ASxg`;8DK+ZIqv7VW?wal6PTtd?kz8InchmqpK4&f9-*P`saU^4!;%- z4)J^YBts*efsGd6wSG~hGch^#^_L0_ ziBu{#7MIo+me%K&baOEJMhMto`57AvD>L(|nYm?ITlZsUSHmZsI(=qJr3IN>*1{f- zW$g@r#1~z_RS)g-!pii#dS(%h1_h{?oL?E6Q;*H9jO$%7zNiJF7@A%ho>sn|Re|?T zE@-CaS3ss0G zm+_HixCk>K4Scv6HtZ56^b#iIA}06(2G$?WVM5M>V1YD%K*G=C!vQ=l;6pCpgD-*r zPT-zj!0MxK!}xU_1nGaK!1uI)7Wp7P@E$xt_?|)fok9BlpwAg(z>lcFi>N>#ipxlU zGlbtIB#8edWB>?wauwlkfef%f1Y9iu>Ue$?9b&GZ>tzYZQ5bUF;EKpBN^Bl20a^9} z%}hZvk_s#0QDt$+vRFiEETSYHMNdGN15qU67%+HdB7v1essu>{A+kWy!4GyybzxC0 zmI_@#qH~JMIIv_<&MhnFl$Ys8Zo+}y4a~9zRynt_q7imrLM`wOaxkExQlF~NyF$M7 zZPrxrYpMkLUd^Vu>gM{IW_GO*5Q1IX0u@mQuk1Pzq(yB@T}`t-0(NaPr(WFHAmwr8 ze6Ac^8)0M|u9U-(ayj5C1K1D<+5}AP_>3HG&lemYcNKejC-OrXjJ5Td8EA}*}d0Vjj%o~EPa04z>KLf4+sQ8}f zWQ=h-iFP`J)6;_d;5fT6KxBq-IJ-oms_GP$t zCOft!Sj%J1cP5(+W|&VDSWOq&&*PpfkvvCH&pNX`geh?UW^LU4${2^*1PAsDM{e3Z zUfMlD+Fkz3hjkhLtn8HHJX{u;8(R6wouhhIzu;3d9aK3HTQiYXKb~Gc@w{r{Va0?E zb?6>W=8{|YJcE{>g{jHO6z3+2a-&*uLz;5}8*_r#IYIS#&l`~;LTqSLVF)`TkQMJ& z65)dn@hS*-hKclIW(Ky9!dl5eibD6+tb2-#yRxju(i}J5OIKFRLrSnCD#R%>#xpr7 zluX06cPTb^Hupb#+}{7Vu?zC^)|@Bin<&M%tv56YFjWzC*?^$mEXRotgnTwRKO@Q4InVz-Dd-L}M037B39>V3Ao%i5lbbBAx_C9EK-l?|UsDL-N->>g}(rtfS*?0?GvA(mk z^=4`NopSqwa`U5d<0sX|&zg;2);9jOru`t*e%=qFQ6nR~GQ926JuTDR&u0YL<-G_% zptG6vthQHO3!9pl7s+2^!1(xac5hE@S65YAJFkC0J~q)mzXX1%A6Kr-sI>Fy)kXE% zGTdak4%9TOU596%>0Pn3th;&R*4JO^%;~e5aDCH0tcWqfI6QmLKQ(_%rTTUcHL8kwA3o|sXB zE6~N{yn13z{TgI`WqeUHp>}*&1esXS49zb0 zOf5)<#yFjQ6=FFmO zA?=n+yQR`jiKL^YrBw*mJ`}4VbuFXwSc-m=8EA0Oi zw@E}G?I2=Nn@9*~(I(_8Kt9t#+Q<|08bvT%5uYn+;)$F2aBMhqMLmyE+d!?VA+Rd3 zAl21afQtGWAc~x-3XuG|N@PO~vZ@?O!6Fdpg{fiqNN0+lHQC1;?`w|sHAi_}Lb{$s zJUj_pfpI&F_dZ_|_oy13BB*9?7~m&NRw+7?NlvaS&ll8@cr0>5DW#5FRD;7-qH~!A zsf^qhMrIHr&6Dxcm67JeOmk$U*;l0Brl;G|Uf!al+7MH2;*xHl6KM9l@q6kGAh^%buiEBA{rPY z^a3{Q0yg|SHsVKI#Cbya1!CwWVyGE0#EcMp3IF^eHVAG_MZ=!VuU+v2!Vl8ow>foi z1@H3vvB2+qf&WDWAVlCLg#RUk@1=a7i}_v`^1LqOdY%W#^8`2G$)$Yni+SD`^L@+; zd@m#Xt`zuRE$}xl2(U1?A|jg-lTS-Pl_g`CNoYnwVR<~VEFMXZLzc!NOA-p{i5S?c znS`xK#Fi&u$`ipoftd_T7OW&#uV7`6s`AM-dRNrxU7;Ug0ZSHKdKq*DJSc?DX3*Js zS8%HIu7LYH^nQS43PvNyK^;T?{Ie(y0z_emferO=u7wb|;(!+QVwgHH8v+C90=&1G zT_@z!i-0Q(;Q>YHIl<+?L0fRGgsb55S_S;JCP91C0WCV4Te@3BJt9f3P}0*R?dD56 z`QmndOB=sg!4XPpg`&z9VO5K`xOxF_(*Ao>kC(2z; zFx`(=c>qNm`yA8iXCTME%JG_KCu*LZgzF|y7e8|R&hrAznuENnBy~25cnDuJX#nsiU}Pm4C&1eYR~eQXZXu91EpC(^4zdCRBRV6rH7E- zP0Z>d=5!HrJBhg+gj^XB$tM%QFAl8Yii%~8P9|Ic53c{?+-+*mxE@86r|)S7rh6m_mO z;bPBAv*GNk;|RMM%%cU8*9dS$mU~NzD>va`O^icDgl$#q?fRrU+?Ni#G{>g2yG`j2 zIhlUdSqUY1s9a)w1Y_VCTjf=|;9WT#z#5OLnRvmTNM(-)GDjXz2W|14&M1CBZbecS zo{*Ev&P|r)MTznvn)5>Wxxw7r=k?iv^|?Wf$k1j?1RoV%ogP#Y>rIY$MhbsM2=^$7 z_iD)YljDLq34ZM;_tu<;vdjl9>5m0zu9XRo2qBIco;GQL53`b<=ONNqb4c zz5D4e+xws3!pG(Z-S$ra6*}-s{l-Vt+B>!GEo@8Jcn4^q((Nc$!Atz+@)~%R-%_vd zf#<86KY<(Ns%}oTBo+yZG5IfoJPV#bAqP7!LT=WF+Xy z(h4}AU9tZ0zchP)QLevP&~B;#8@Au-QSlb|L9?+3T=CUbh+Xgmx?=n7>dw2hU4V*@ z&=tGy)Z6>2%{PXs#p2rTtafu!y*8m)QG! z*~Y>AifbEdrTNK(lmK*`DkmG6?)=xTm{7t+iqVDT(FN7` zqIwdZ-ma&`^4hF&b!uT{d`>ksy9}-q`elys`IRw{1g-F~g76Uf4LRY}$56J;746YE$ z^{!}>h}#VT_Xnj^7!C-)R{C zvxtE6h`>w8pvx$b=U2cL834=xV&=OWwh zT!Y`~YERP&*Fz;w4pSZ(15w}}oFY9qQT*U|@dHzelPT%33CYQX^x!D@t`W)c2*Lgc z?hfp%D7NNW0vbtrmHd2&4lR=!*Vxe zJ~d^*m{fTfVnD^Ot}qlXYCWMV478~AJX7cOLxaybuHQvofLT+JxiI9KDAZaKZX=7b zQ^YuQ#NX>qe%PD(q(9wtFze}Hwnty4M^DDHt_;tvET66%zn=V{US!w+I(iTr-;Yh` z!zT4&lKQYIz1WlvT$+@SD4<6%^qGGzyPi+E~G=Dz62;#gsPZ(PioM&ZP3e z*pj|TN@o~Bo>taL<_?@6sK1GNe%ynx`u@yx8D2YAamUN-# z<)xwAn-hf(=7`URQBT{mT!ksl?6`ZZNV}3?Yi88V+IU;ei`)E{4#M<%qRdB)nSM2y zv86eA`M8=GdcSXt%CCCCuW~xDay+7LJfUGCf&JRQwC^Fd)giChH?Jx&mx9Vel;*u` z$ct{t4{6R1YswGf<%e=}gW1`E4LL!L1!2vF(Og7i`O83DtOq8_ttjqkMdCAds+TC+ zyA$Evi}LI$aBt6ZmS#TTr#`MtcuWbqm*#aV=#fRF--GP*n4(gGKr9%U8ryoizw_?H z`p#Rm?#+sBe?|9Rv;I-L@kzV+NxSt)yZuqS{Q*SZ@UXWGXtB1fgj+4P;9;h^x9ate zD&3o9-R6RJMJ5xK64B{l0mv|Sa>%{%V4K=7J6@!HON=8wN$-jrgDdhI>VPYH=2kX0 zKK`%OH@~Ph_m_Yl)^|0VZ-5-Mn{V{<84jW!3AMKZ8S@5wfM#o7v-MWH^L};r!|L7# z?e4pkowv)IZ{}9FCsgaBOWL6Y)xg|h-`qm){6g=-!hljWs#%*{-OmyM>L7aCD?) zbQGj>c78;yo!{JD*w|jwfxnY=rDhGdLbY14Df#bDjo`*&L<3Ik>zy9%$XV0E!=(pP5kt zEiAvDTN<5Hj?Jqk7gwf~T0n~#%mhGQ-O8vq^@EkfC^B?~@W0WrAZ z3oQ(&5VrtVvsGT=XDUniRwK4=2N{Z#9v&&g@=hWRX6a;>p8`>Y)XB75tmaW z;E@H5xJGtiLv10a7RzH3nz)3zN+OL+MCOuSL{P#X7eBj7@wi0tzDn@7!uwicJuziY)QK2;R7ph?Q(H?!F_HC43Q+Om316^GBRt6@~pDHQ}{8793HkwD7{ zrKbB*U${~eACxBFtw?dGd~t{Q!nPviMp?3DY4SB%k_9#KYH@-^QM@H3&YB#1gB){< z6m3h0yon9BHk|o|iL}5*S>U2A@G&s@s>Lwnrg~lI;|~K@KmyL8f-a%pKyPz+ z5?QDPI>fv%*t{_C>K9!ge9aKPmyy1g!4=^HulYa}K4!T-mtlM_=lEVea796J6zrp* z$6?B23h6OOT66(57C{59NGL2zLYJpt;Vi6VG(7=T5?4?hkEA6QmLy~7srZUC0wa@L znM1BZ{>~Mp4Kz5-yFq_Y2>bu+3SK3%k;&kGIhf3#3xg|asssQP^|b~+!2IuMao`Hr zuGt_1R~|>kcj_Y37CLfKGlRYeId8k=m7^u3sC ze zReK&~x*eiBAErJw2BIL|KS{ZNoOa)o_Q03|L;)T?GNwE^!wBWW$ft@i(zTMG$JEMGCBgAdf zLi7_;0VE%dth)fKg#fD;fE)gC86s-B*#ehS_^ zUF-Qno!42m_j!)*MXt{!p0Am}_foU}Wl_LYN$@p!`1SUfTRn*m{V(qKr#cO!IS*#I z4rM(Z&h;88@Et}5jG&&66ow9=LI;syAg>A|UKK|5p<}x+i3;3{HbQDQF}0tPIz&w$ zrss@RAo|O3t>r~c^z!=h1{On7S~WnZ=+C3}q!Qb6irdf?t;IERVe6}zxy4WKclPH7 zbTX!ro-$JC)B5rbC+uufoOusv$7EA$^>d(P^IcQYay_5`gzrOSp9f3cOr^C z>RZ(AlqY!jqADVjip)coAv3EB;yDGuf&za*K?uJfoL3Ohm>0sy4&-JB@$$l(5OM7M zXliOeZmes5%oAFQJ15gqn(ft@?a`m*Hjv}io9o_H@KloJ#!h-t7V$9O_jc%Gt9y1A zyuI${=D((q6<@kIK9?yDY7_=+09UMR zyisq$RgaY|*k7UD19_*}eXrcy8(-1&}5=G!NxTVIdM$6iavMx|pTt<#fz%ZsBr z-OTpx{O()T{zuLJPx6m{G5lP${psUCe`}k(p{233frYB8B~&$5REoHDiWW|nqNYv! zI|*E~y(OQXY@eCwoSPe7(avq|Xy1JT-^0o__)FVTX?4IAOG?ecvUXOzI;CElQm;-f z!$ycn)tbAP@9)0a3nZp(Rwh4bQHO zF4WM!cEt}1OX{ilk~a(P?4-NIh_cR8cOKF=R59TvjcI zu3*Cn-q01T?LB|*idK1ds{*=0ChIbkEX0y_i4>#_T%~Y)R-0I?FqA9|v}hLm-W6X0 z-fU@BG&jkb_%c|jfUTQwx2Zrs$b#3XpKI~i6-@$hBd>+S6V^61vAF!whDI8fTO#0> zwg{;$&EzH?j@N+ab4bm+B2iOOLoKzmn1(8#r9@CeA5q;e6}exacwHq2+#vbgBzoS! zyIbR)Sz~-|6#CzwybNa1iujT~fvlG&YHbv@aGG1#LUEl)QdM79QAR1n=TOl}Mfs8B zEI;x~cXHALQtWMNf?au{Ei2iMk$kf}(UKm2g&u#oG~TQ<{$eS(kFzL^vn+|RrbXSP zM%*Mv+`xrdqQflEVdm%vb4-LeHu5Si+8nwf_8KwHiVP8ARTO7UiM>vawjxDY5~D0h zQP+sk=7eZ-V)SKVj2SWd5^x1B&tgnL6=Zh=Q&-LT8^tyo634IJRE&w)Affvvr zm(k%C*lk< z5t2sBx0IVp}%>q{n3mof5@=>w~U+LXWAKM-#L=&a0qqxaFLTqrOQe7)3Y^C&s9FX z!1Op@<$0#Y`$UbGN#!%63irdM&WDSgjEVP;6YriVzH3@~_h{)oqvD4~DX`!77(#{xRK!q)Eg+8~B z0&Jk|PhcHR;|!>{a~yAfoB&;MjC}7{(Su`v7PLplN}iaOI-Am+jp@!u%bbnMU5qMR zk5sq=S{SiBj#fQ0u6znOp+|)qtYB2a#?E6PU)3v)S3f%rA3i-^>3$4^phh3H-ZctDGVOQM7+Ys4ijQulVT>x(NmPz>Eieq zYT`IGb+9wUxqN!Q?Z4NRBCSoOC3_V2wdS`HU7Njb!h!aXmy`IN%SnM z#wUsTG7Vjvn^}iQY(PYEkwJ|}|3>8VMno8|Ae;{i7a@YYP;O3mT~;I`J(QH}ofqqj zPI%19aFZgvdQo13`A>(zUrUBdcZQoH!@V)Zg&yUE3cQ;h_%I>VEj-dUJ@*BjRU++> z4ULb^sg!FwJ8L`OC3{Z=PbA-6g4tVMd#l;}u(tQ}>fTS<-H$6f?^j@ldl^{bt8q_;(=qg$Q1-t>v$?+lvbDdm z{Z_N{PQCqBxv{sP+n!v}y;@LrOw7w)PbVJFz5UByUQfU7ebpgv7YLe}jiMTEtAN|9XdLJe40V?YxxbTurR^=n z^i=!oO!wUUhocp_@C^$2 z-B$}uejys47LJZL4~;et42k=Pgy8Ya0BUqD@OFR7*|43OzBZEX&AOSs{&>jnp_&4 zR*uc6#%EL$h8SuW3!0Ic<(~05#qeZP-%wq9ce%b^p?8I}S|+WN>gyGYukx3NSZC~0XnxB}1Pd~pSp z%cfP7mEdu-jKtz_*CLNAl&2TT-sa@M8zldmB=74a4{N-K1=`~>!t(+#-lZI$)4<{L zcufK>w~157XV-A+fhkxutkNnviCI)wj?XMDOrYh37H4=u3#qF zR3uz4kGCv~yGD<-D2=tC$AWw7^0@0|u{Y>3H%p>#7De44Mp}cHZ*1f>40HwTslY}- zS`cC^h_ROBI4er5by4hf5K4^oXIfk%Mp+P}fGe(&Vy=*YE+WkcVP>#o5dwjM3qFW` z)YaFnxS&5b>*8q&f7&_W+z z42!}5a}!p9unoT9m`X$iS8HdBcd_6#_tuzZb=q zb_;_m*oImJT;TZPieG8*e{ltbL?aAee{JHmHSyb946YFOL0U-qrIG=;WI!PvXcZ4i zC4C}kPqVyBDC=#J_KBr~Qu%9n+q7IU&STdxDd|O-?&tvP9D9?r%YVqU{P&z&M{?~= za_o<0*&hP5AU-f*I-jg}J6q%aBg_396I?w`u{=##&x{yPkCeF`E^$6w^w5}i_ZZRs zSh0gK-QfuR?jh>^Lu9A#2~LOb4-Vt*9>F>sLE9fHynU$9_7M8kA+*gQjLl)J%@G`o z5eVMqDAwjE`j!#O#t3N(a1bxR8d*>Jq#uR_Yl;B`WbUa3K zG$q|TM!s)Kc>rPp2n0fXWK4T(T>3<>3zwtiZbvKJk22hiSxijO6r6>Sx?8%#MsQzqEf3}-P&2*hOgZ#I(P_(auuG^rCfWX-gu|o`Ka0c zpy$NCYU`~U&;q=<{Xu2O=BMTLPfKf`mN!4DcR#G`zwI6ztY$Hh>8a@W=eV%Pq=1{{ z!FKf#4o$K51u2jCnJzrUGY&qc4!EL{-rmtMy`)`x`yVU2p8!-ASGSaKZDrfw3d20f zgNBN&w_l9O{qZegdWxm(&Y)FqyLC7vD< zPY*NY&A)fWty}WRiMHvfu9?}PrR6EjnsQ@zX>EH^v$3FBT~g~*E9;t-4b94?Mh&kk zD_bj?ZMFU+cMl)`-+i^9grvry5#HbsuYaJaw_nmb(Ax8=tLIgJ&+u^1@OaP2MAz_C z=kRp*2!lfZ+7+r5-GWjxy`Y+$U!GoCnO$C;RjthcS}bTL7Bu4vnlS?{7FUKBSAZ^n zE2i}4z)l%lv7mW9ryibG4o@jZXO^KWrk6n`KxWm3F&D!#%C50l>8mk*&tPp^SGhzE zT_KgSWRfcBZ(Y&W)7IMCp?5_GbVcuHSM(ZOVJKMuUC88JAaYr!9MA$*Ee=*gL~yPq z)P?Bpnk&B0qD4O)tGP*Lpv6H1(k6o|c(7OjT+sykHpPv=6?|b04<0>M+5lZa2w4?{3G|#`>PvS@ zydy2qp)ARsm3)VpWXnvv#fZOE5oc2#YeSE@RR$7kTcJP6v!%8C?eNsPQkjD)TrMVpgjuaY4xu8<C$ECv(>LTSwd4Cfhsa+FPfZINWM#UP+D*Hqa*9-Za(h4_Q`!&bKv2 zIGzB^NWXI^j4{OO@G_d}(whiOlaP#zp5 zIG7M_n^Nx>mEZZk%;7uQy+2bP{u%%9JM{fSNXH`x`y+@u@VHWx-QmJphaoC%9>(81 zOa!@cgmB{!@y21?jl#8NeZ~Mhw@Z6)r}GKw7wiPk}=)>b-y9`krm_KP&b>EA{_D>~~t| zeX`l>1h@))P6&NZiTqBB1AmYP{U{GP-x_wYE#h)pZo8*9XlK&dPSA+FjMtRKTyTBma=TII?cz<Z1zeHpERT2QL^>A* zIlc69@Og48F7A0rby?^1)WquA+}hgm+S-b4U9-NW-Q3Y`zJX1f8y{A5?|>*4G`owd zd&|0gwSGW^a^uYs_+=c>V&^?Dz{=jwnm2#Z?*Fo~_gB^CFH5?gRoj2j?EkF&@KfLD zSY2H`IyVQM6pjve#`@kYd2Ux5;n)=SuqpLPQ_j=oLZ3!LTwQT)J+q{>wQX`i4ZhU! z_WQ-Py#?*&=Y1c)DORj*{pyOf?RTp?@7H$UukO7Eu25~iSyBOV=+j1Md3Cp%W=+E-@V)YA=voqy*F8~Mao+vG&&)by*lg)yaiZe@K=rJGf* z&Md4fF6-2qP2K8_PP?*%kJrE= zM`P(bHZ_y;dRiDk7tEJ0U{&998iE{{yBUeBn$xB>>;&#A#z zcs0G$@p?uyFxuGNU(?$8#T85`aD}8!Dm`$8yi?KI)28U{kpIpVyY6>PmL7l7 zesM*l1u5Es9BV;|H7CcIQ(~@CqG13qh!MXYUWN-d`{D{r2;5Pkcg1-GKtp{^f?m$n zyW*f;p>MGOwBUbj3B!{w4?mYI02ttwkb~8bg9Q=kmvs;jzzKaDhM~*iD_8LJWePni zgdl*D(ICp^+|-iEutQwq(?06m&u1(<)iIwlbxNj z9qrRCJVAXqrW_T94|B+NJdtAdhYYK4^X*I!jwf>*kEJ;nr#l|SJUl^nK3nB>p5=DF z!u@>t(;v${PBA=>RXjUd;&!y?i4oy}QK9|OJR9S@8%F4x-w|!TA>00mVE=Epd;gBP z_buk`A&lcuG@MxhPbEX&K8&_KjJb6Pd+QL+<`DkZd=IWT@X+=!*7gX-_6XX}2o28@ zfkE3H#@K$3wf!@kly&D2$-#)^aFpa|Ou7rtQN`ai#@#&%g1-l1Ow@OG6hAhlJuxkD zHZ65ArNhM$lQL(M3RhF6+p$Xb6U}Jwxg)~0|gJdbDdfSg7kvHpN?YM~! zO)u^>rQB^wa%@g?6vR6T;@miiLG*kgx~TPK<#Hrz!G}5P${6#YcYD)Xg2=T=sA5EB z0rf>nZCa!#(_fL})r9b^!vs`e1M5%$4f%fj{J<7um<$suM8>kxLh!NPm?-z+cvt3& zC%i1@PPFS}(bGBd({ZHRs|@GXgeRPc$EAUf@F7nT@j+P`v1B?)*x5FYg!hf2K)cFNM_$ZBe##R; zwwnOu4eJ#}&=u`%ty7CDtNVXb?|f9Q?=7wxdO?3Z99&6wAK`OziSw0aeM+lz*&n99{9^}1TSrPb}~R(ChFyIU)}TiQ39Yx^6z zcN*RPgGWz(=Zcqj0&qn`Z%<=SPg75ithc|b_tjwE&}i@QWcSEa*YNB1fkAmszr3fI zQ2cAX;)fqptKd&uonBH;E~;jfnt2tRrZu~$oz}NsPS0zm7qwGMt00q$s{j(yO5Ln# zeP&rVt#`%5qSjEd7@Jd%&%#W6wGJ{d565Q>PA>ti344b)9lh0xjxy*9DMKP*NhLK> zX}wg&k;)HTq3CIo_W)6JN_#t`z3tN8RuEaQLjJ2O3^BMuF7J~6rfShH6$4AO>CYDV z6%|rR$M0Nmuo}`V2Z6c(SA765;DU%A6-|6G?AzqGuzC7X-W(o{-B8rfK;d#IyhakA zi*Ibea_Vu7Y*JHWv8ahE5K!wmR7PzP4oyl9#QRy}yf5SYEpWlsgg`5j&ozpNInMP= z!Q<~TAO1Il-wASx6N8XaM@r`r(?x_dAvTF$7{x(6=irh#R1}9%#-oSjdF3 ztRPylOG(m$(nNcDqD@)Ct#Xj~TV-*#OJnS5(GE0tddO{Rj4dthW=Vo|Ns=Wk(VCig zqd4IvInJ6GV~LNlz(HDE!A3w=5F*V(mgHz_a@2KFq%|?ZiV$u|2){-Mw;)8A z6C?E{ix_iq^i^{76>=1;S`Z^I6Cz;M0v~3E3p2xp{pt#I$R&6f`tys(pbLngi-@2L z1wj|{pI-!`D0ps$2)%-eus}msSYu5~umZv^`^pstR50~N zqO%OBU~r>6gPKCn!CjS7=kV_zf;WX67jlPcwIt4m!KKW z25%AdN~D7d*+^U41aw8`jJR3Ettw&>5{S`G+4oK-nf)Q%>f1cvin}Ls?ww4(cQWI_ zDfHvBRM(4)rB5W`yJNqdmNnj zeF%U1Fwy=9@y-##?IQ#`Bb@CK+^xe{n?qQeZ?QK2hP(Bzc)M>1cm7OrI7D(hOmaLz zx_gueIC1wV_O1~K)CF{f3B~DH@#Evv$Hz;YkC%cxIad1Ev=pAPZd&1b4A6oJ8z%rQ zPE>k8T2y<&{)#G35Ywt>02n|QM?qkdC%iF+?VX;-YP?R=`JAfvJ=NfQitBr-(f1_B z`(%UH36A#(uHQ+X|7k(sndav|2!qdxLVuKmUywy!l1H1#qc1C>FUzB^$f7RGBEkLD z_PA?ZN!R;QZ3Z)JhqG^w=Q~a#?k}L6l&Hrl)DsQLbrt(Y{NU6OcBk#w~^#SFNj zKl|pZ0{fmEhxRN-S^8am(w*9vTNPo~tD@kmdv0fFq zg}5S7dgWXMbM{%q^rNy-4{EDFi4%pT=OQq)ob>wi7(r%;EX!Ax1#re@umBO&kQ-U?GKduCNr`i>e&H_4dD@9^e}!?KBsh;_ocnW~TT`EKqaV?N zoC-W1pdtcF2?d;HcI$B8Yt^#m-ACQWUvzIj>UQ3)ZXGm3YB%2McbI-!-TI{2`k>x? zuiAw3rqueWQ>yK^%iC`jHuh$<+mq_e*Gsygxz+w@P2ZHJZ&KSgxi+-8IkvhxwYAqa zJXYJ-M8uQP=}GzFPjjAKC;Hhkf*rV#4;qsm@iJT*5uR*ZbR8w9o=NNIXq#1PH{SoJ zcJC+E#+#+J?PcALTEF$DnJhK=GNO4I16iUQMWy%S{<02lMf7wdIw?C zssaxDwSzJ>suBw)_%gd`PE9>jp&F$5led+sy{)$__{H=dM z-8L~N9vSEL4+(~b#gnh)^AoKLQ*Db=Z3|P!PM!Q(0;VTUbWcvbnunE&nU&S0wat}{ zJ@vZ&aCXh+vUW?owzHz!U0vN>*Y0g;_JAuk*7kL4Z&%j#Zadulohyp@{QACLZeO3E zzptggzja`+cW`+4)yUYu=v43MRQK>u$3VBDyIs*mBo_VJxB0^li)$ORYVE|5Y8(#S z)}Mm9sF|5xnVwOD%*|^T7S|S*bPLPt3(C!f<&Aj|)yAye6>wLGKI8gD6QBs#uBq?X zoYXg0Ow4O07qx>^ORYl_g04Y!TX&_r9lAmcT~R5O)Jmmnsk~9DX!^<(?VnxIW^jeH zS0U?_%YWkv81SZCZw#4%7M(I_2aH}3`hHHsO~>zC@hdG_6bHHhSD~U=Z;Ym|T*2py zxIDcpxPtPA#^U;Va$OyfT~FY!aU3?bp$^Ti!E)+|d`@wTfXe3=*Kvv&brc+im=c5w zxQ_L?j0rHu1Y2PPEpa~Ah#uF_ZfEmc4yQl)r~KzA z4cO>D7UUM0zosPVUpVy_j)S<>PxOX4l5ao3At zZOGBKq-YyL)D3);6*2A_Iq@nb`EqfR1vSZps)q zizwiV;7iEomyp3`$l%M!5Rfa#(5t90^TGpESYcxHu86%3fPwz(io!66+%Nn3cZo6@%NdRI^2RcdGH%(y!RYm0=Xb6! z6f4S^+_K-gg7MiEtj~>|zsnb0d~roxjqpqKbFmDYPg@R#Vtv(U@%7#iL&*Zr0-!?3 zYZC!c2s)rE1f3vaaOHQ1c^%@$b`iI|nbR)dwDB6-xcpX*0Q}qT5{vs4lHsMoQ*g8?=P*s&4sQwmHXgK`opuCkIxsnULw1jmwH&xo|zYW znNxkQ(ETs50?#x3f1tRXMBOvVxMdV?c_if0q2TlX9(D0wk}m(lOY?uou>O~Uy z8{`;BwU=q-Gh+~z$5F#g)iV?D5WK6-_XJ3-&xu-ZeY{}md``0cPjiEQ;06EK6#8Rx z*twSQ^WvzB(ik&Y>}6TZWpI^7n~5VYio!04BQ8oJFUg{>$m6am60a&!u6Cta4rSk( z%(tIM+*hL>uVdV|2wuA+-#0~pTjT%@-ggn>y@>H$B=|3po+}B#ON8f3xL_4NR7(h7 zCq`;X(Mn3pTyg9$+OIR?VN1NVG|{px*`h1;N>BQ=-c0Mh9Gi|zTY0*jDAkS|Z&MX@ zqcqrx8F8yN)}b*8yqMnSB|Q)%K4^-4AdI}<6y?gy&LL8GS(TIFj7hih$$KTk9%NB4 zmX(aa6AE(JdGYe>5P42OYmT=x$BUisSC$`Gf()uc`11;UnhJcmd4cu0VXVy1(ii@e z1dp<0H(}PZS7`4^oaZFgbprkHRl&p7j7R*W$7Nwo1zz{#oE&pwBDvhUnRTu1uYcM4 z+kd?IkN?{H<$rE}{OiV>k89u;|IK%r^|x9$hT@}c`zPJbPis4$R(C$F?0i_+d8dXw z3~$vt?^L^Q=ht^9me*g+uJlZRmzz0p-=w&2O42_o8(8R=Q1>nAhF3SGuf}TlVoGrt zI{Rf#__K6(D~$IodY}V4{5~h%iIe8c$$wUliL4`MvzfH6&h`cM+V-da((V5OoS+13 zScl^@4Wc;crqGuu;2`m}ZKZypWLZxO^~U~^ZfAaVb6lzEc|FzA-7o0umA-o2F|jbT zq@CT^UVHa(>(i(0PapO^?eD(Z+uGgQ*wn3WY;11sY;M2V+}31wvlD3d%D#(uvoFWzrMD=wzjWc-8psUH}k;%_{}$sg98oyy}W^b z;oyK|@Kwjq@W9CE>(Q}^p|R=y*Hb+s1Dykk)-F+N2ZluX+7)wa>yv8D>!sz<`6Wn; zdDZkB5QS=ba(Q-2wK%6;Ueu|Tn=7gR7nhrAab5m(JX6+u8?ta=j~LvfsJlbM4|c0l?@2kdR3MGdc~Z_151*fi{fnYQJ09(X5?5iO1v2<&YT!)iHp9D ziLydPS|B2?6vkb`BwfI#oFgY+{{Kn4&!{%DHBa;(=AN_e%yjqZ?h~q9W#a%Q=ipS% zIg@O1&KQ$Tw#i8eC2|HKgd`*(lu7CJ*3s*Q~X4|dQRMer36I7rZCc+e$y zkSz!z7@`F-6!60e8EOFsoCq;5ghXLh5M-JcV3HSTk{|H(oM}#gc}}23PM{^=L~fu> zUXX2Guw7orrToy#1!2(M2P6vMinrGaH92$zGza90HsHPxa3cIV;>``@o0~`1oA9uk z@bFvEHSDI=6#)@xQAvfVxh46ShCFnAZc%MEvO2e@CLdi}fPqkfz}2Jh4d~(qY)K=& zq_MQD2`aFxXodonLqMAsWl(EP67U9;Qhxg68C}r|{|8eUPu|fR-@0Rw$G}7u{60ZF5{jD>Z_jTVtyqNOHAmyoX&PxlV zvn|&3a*>-I!p#QZZiR6-EA}wPx#;IT(@VK?KK8oq+ndIrx2?nOT1DP7dUx-9!o4$b zx4)0M@m>7&?^17^%DQn%bNb`kyqn+T-O}dU{M+B;-}wfJqVV3g@cX9_557Y^giwKb zd)7S*pV z)Vf@#bG=aK_7xQ%wXSE6XrZIIISZcA(gL8O-b1er#QkEO$HjUN{RU5cf{$S{G&t3S z9B4ubGHDGlp@*5Zy|G}vwPXQWL|TDsJ9rpw4te8^CFiXbH_Dn1tt!}v6YXTlR|eC5 z82fN*CiC7>&ZCvQ=c@${3fQaV!q>C;F5`JF69w+maG$v%e?W^lq%Tx=f$&kFeAm%_ zN=)D~E_4nbFXamtA?W!>KIzRO`C*>YB?sk2|&9dO@ z)nRw)-#%!He$pKC4E&x>iG5Ce`=mAWAtn4peR^6+F&W-G@_{-PO`i{Gor|-s52}oAU`3l3Xc~{rSgw^TYvrA#?OCQ z`|`7D|3}sCXXVy`V&juy{gYh1FIRt(uOBGZKg%~DRIF|ttZZprvAeYOacO&RdFRv2 z+V;pI5pSqXqGIt zH7&U`g`MEj)H~WnSo3RJ6RWD8sX2cC5KGq2?i=O|jfo~_29{Q5);CvncU60Pn+Kn^ zKkaYs?rv^wZ)||{p8nY;ot*FjX4NHP`C5hCH3^; z+Qfo#WPbHGzuZ!J;NZ|K>mo?SM5&}jDxpd{nO$8xS+__g>+F(scgngY-5o+nJ735U z2=mcj_dzZi8cr(L#^j3OrIq1@rLlQv3hLy{%H-7Y#Kh9n#4>Qj{ET98PPI6%URqdR zTv(r9fL1N0=7B5Z$F3NgSB!(qDWFDJM@_NDXMi-Ik7`{(>ga6Xc2u$XrJDMR>ULHg zs~y?|VRI>L9-Sj-ht?~^JdG=kH$k|+aK+!zLW752MGK6RuK1NGw2KwTIjp$Qgbvkn zYG^@aQK?J{wGG+_q0nnvTFZ$f41s`bY(NkiVNH#NO^uK)8tY)hMijXjN2B1$WL$kS zw!9HjP*4=_kMz9`_p~YW*3=?;UoLRFQs{Io$Jr|V^~Ge@@A6`9mY}1W8MPETkw$7} zG&Hx?*0xj^6Dtu-)u^T#457Z5SdDKk$F-E;h(-B?g4BkrsETAyZ1f{|h#fM_y6BAs z`mGtzMbTSp)LUD`8*5m&WkHw)EW#WSWrm6|Lq}U-qb}hhuVUU_DT=T|y|G1x+aMrU zSRq2K5n5M(FBNhL84PG~83Cc<&=rUv8)UEzG6cjL5n_o5F^7kk!Gg^SgP<{B)xqO(g%ef(!bAm7B1YODo3AD@AE?Iu3%y<#@->Hjyx*iHCc|^`%Q3~xXnYe2+XzS3Au#m_EEE*3z6cKm zQ``VhQBvAiRz|4M6j)XOV3a}ynPnhlL@1?AhxxBip((3qfl}R~t=O!nAeL7^l@-Nh z(5}k=r7Hj`zPdtF$=O0=Q?yOIn>i<4aZC$nH{?X21?@P17Gxfs%%Qh%=wvSRkSe6o zJ1C5fmbMORn~1@Xv@@hEb`P6Bz!vs1*<3oE*j$gqCi|p1SiH6Qm-wrHOuhAe`rY$s zcP}L0(@S}%pY_}v?rdA+b{Xz&o9AYo<7!d(+8E({vGApC+I`*VAN0bnn?^jk5&6nK z#?$$o$FmfVyNR!^Mm{kQx}g_%>2$c=pQ3Gk7jOG7iI@I4`SQP{UH#XL>%Y&w`KSC_ z-@xvEi`49BpdWsZd2|~4=nOP+9k}9=4*JoVqK9Wt56&P#?w>~9{|(&WuFHyX;|lFSP$ZD)aYwW z^fzq|FeL?=kOGZcf{m%6rnGP~##@W_NGo=fH3%yb7{h|~){+xt#fz~K#Dcee+s=1( zT?w|b1e@MO>%nBZ(bOvwAFfTM-<-_2JC*rxBJ0^`w*63!^JszFB*J$N6Euejm_zx_ zAv~9gJXKiF%@VKmQa@!`@M?L)6w<3N^Mx?}hA{rJD9%O{Yko+J6gzR+526ouIx-$H zlI|0t?pB7~u6c7G8kipSv?=BVDfT5f&Yt}CX-nt>Qux!Rtdx52x1Bj!Dqh44tiuPC zd9D0R3_9n1Oi5~3OR^s`(SwrcK}hthOY*9H?_HhgTbu3InC(Z(_9tfeRVDkO<9yLE zUX^jK!~`d1ilZpYxxet$VBsriwi7?iffV-~7y9JA=fli!&*H*NQZrE`l}*kACj7kf z<*%y!gT<}w#f`1y4e-Xj4^W}l_^jOcqFDbTUq5by^?7CUU}bZEdGq7a=FZag?()vw z>h8gudS`TL?a&q76LjHFn|OrTISyRG>7VD1EemGkwC<6{wvN)87FbU9`!Me~r|Y@y zcS-^tHHAMX#=dM$b^xv*7K9PdY0cF*iN+OMpZ{a+B`1n#0Z& zORB8}1=NxYym13mEN|^;Gq=7ovaFCz&k08-ID;dM{sHFDkZ5wMe`#q_rCQqDUfcV$ zx&L|V*Tzn_CB)o1fP=KXX4Gx#G*uoW2pdtdG*&)7;ff?UA()^b1CZg`*>4 zkg-vIU*DOtXHR+niN#MX$>-&3^9uF6QVn#mpxRteL*Ll^`u5D)=A>$UT)sB4q8eOO z^v$oxrWZOVXKQJ{ZiP`;S3~ITtnU=nOFHUB9gQMEv#5hC?x2Z7toWFa|$T4@=2)ErhHt}<^s5aEgNbUNb0q&U~wy0oN8#y zBD4uYV)LjRK7-T2;)t}a;In_ZSaIYEEiI0hCJtS3v?6i5M)CC%G_Ls7-p6rq#V=fO zObhL{NGqGx%A&TmlUv(Jt!+)zwmJ%}f<(p+yrlK0-`8vY5@0WG6_$k z6qCs%b;RP*dVF3!Hr5~ObG^vJ2I*;A=xtX3EmmABbhw`Dd@0k_Jk8Spk?K%am&fku z;L5tW9WqY4j7jUDQs^X76PeOPqqVd#DQ#2|qlv(%t#2(Wp<-ZUSbFV;u;LgeM9_6q z$fcq%OH8;aCc+f^)(jhI25!)AOpC%y(c$3U92;SQiLgS4+ZKh}p~7vEVK%66s5(MZ zAYq9NwT2cVG_F8_1Or-VbP)t{2@zxqp(5BC6>NW#cjSs|1>sloLNDipUdj%!J5E-RZAO4?W`IqG zzfFdpb(X(vPQWFgi@cyKdBK`3lAx>kfmibazDDbcsPME8DM(~tbyYdFqKsTt(u~J7 z;_w6vz7dUYz(A=7!4)@@lt8E`FN02YXi-rLo-D2}DQ+nJ<*vucRFn~qOEIBYW7Xte zxI(i7qHzV`|H2hCEho!ePtbC_b;*6{*Zk0 zyZ5(sQf{41zIiVBu5RX2vqEQEg!`2|ciRj%tM@KunT`h8&(EhnJQsWYLXe%l{|~lr z9PQ)6-X_0GNQ--$9ut@p@;c1%j@xzfSC(hp%zy7?^c#QU{}yWY-y$r26KC_^Q?C9l z^ZFlvD-d^2VIQ2vJv>wVNT=lSS&-t#I=II=n8!NkCpsuikk8H`pPffNJqsNpeS8M} z;5#JLU+bHKJAcZ%^QYXq-{e2|7WVji#M3kAm*;Sf7mA(rN}O~{oX!_Jo-J|GDRnwi z=A;8s?hG9`1u1hpbJ7)1p~WlU3aGdO(BkhGD^3R55OIYDq}F;|tno6c@iwmYF{$%0 zsrNN$@G~U@m^DE$X$mkR1{$@5m{7t^X>ZM$z!lNfoERHU47gf>@ZxL)@9c!{E=dzE z^?0_NLzH{qUqW%V99zZ5-)0iwm8@1L7J>#3I&vH1}m!;w|aBE0S1iQM9Qj)=c!yQk-lhNxRmW zakn$~89VJUDfVGa#QmCxM>TIB*F-*Rh_P>ub!>U()DroO7<#WM{83A8619Ou7mc-z zE19a#^z~1*ViBeU22T#ENb(`Sb7#c6G{w1>$9WaM^Qlbrsmt^wWcv}b14!9H4e5a; z34Zx+y$avD)x^GLCOb+#ILLAx2Vjo91x|u=CwhWYMa0WYpU1(Dci%+>);81*%rCC) z{kVDXw}UVLdw1{8^39zI`O3t~>a1d8MWyZ9{o~r!&&ti8)ViVxokpt0bqe`&OLE`}HTcH1!JqpP%86DL zCl@ZDr2y47)H`c^2Y_c~2YgEh%Dpcud!J`FcE%KIJ@bp)kukEYi_|S`>+kOvAMcxA zm{O|cJD)c8f7<%^^DfBl&s*C+Z*Bd&zWF0(_va&5{KV=Vq{(_HG8swMMeCJu1_#6= zqn#t8(&16*$Y|H_Nb-mDlO6~N3Z7e0Edo@?*Jf5#)2qrEg?diCwYc>Wd^1z(%`ugF zK(6dsUKK7Za;In8N5|=dLm}@HPks^eOLk4N&iXD%ZD&W7h*u%tmh)JZJXRH-Rm)>F z@L5d)ZnJ<(?%=lyI~Wp4J|6$o6-I^=>+6#n>yzv2Q|k3u)%v_#J-4i$T~N-#Uv7@xfxArMzu5}TbdChpbG+$M8r^9ifPo+ z7IIl_Q(19cSx#O_w127B4V=3z+T9l6X$y0^TTDg>HGmQOHAjBxS~#Rw^Z2C!Ea-6Npw~{p}oAEi7RT#PAH4>LI&PL z1zkgjSYbnrap6WKZw*VM3`*Y`l)f=62{S4QGc66ZC<(Q~hFGD3t>7S<^PxzH6PCag zs8CB(D7f07LTojGT%pNjWDv+DWRNW?*an~i6=a1BvP1-FToDXhVNwuioF8BeP?6{N zcdqa=1+>Txu+Y%LIu|Odu*(ZMbVYvH)trz^nZdT1K{ncC1lptrSikqP`rvE%-Umv$ zk5#6xO_skMNOr)boWRT3{+F^f<(kLQx*|F>B_j!5R9IP4PN^&xV{)DqNJg$v=Kr@Nh1(NF}}V84|D<2s7XU9l*TfEkYA#r_HfD= zxmwd>vl41s(NqRpp+Uu=D^8pTsi~sWR#T2kH&5nQsQ6Wh#n)q}&1@|yTD1EhM5x#I z(MQ``nptELo6^FelDV1yPVi_{KE1VrP7~5w`7|nrMq$xu0LelIQ$k}&s9Xt!FQ&1@ zZA@`H0~#a3;C9gkQaYDMW7Aq%Dlr+MsV=q=SAQ3GmKLwAnLi*+lTs*_b)`=)``A(I`;ba@z+izT|1Tb!>P<4zRkUHs^Hdl zh&$h-?tYKDrzx&@c)IBE=_07J)|sLgIz{$p(J#+pp6g%%9-f>=J^Bvu;1mpS;=#8C z55Ivw{to%{H2Q@O7P!LUe6iDoV#jj;6~&G^C7Ni?nd($H>r}itTkd?e+)<|tJmYw_ z-056})459LbJefU)wn>>(xMh}#km^Sv(+w|9HIi;oYj6#t@{PwidrwDI&Wi;dT*l! zAEQP;<0gL~3KL?0F)_f96lh2eF=`DrW<;2_zcuGXS#qN+IZ+nuNHb29IWNXi5N9ol zw~@x%_Qc!u#sODYcE_1@$D7I$%w&mXvLp*xqE&aIjV$@HEcJTt`?~{Kk4N%eOu(Eq zahfP}nn5}*VqdS8y2{HumF0e_ilBue_p#jPJ;}Ga6Rvi~*@&Y}#j)n%cNXGAOG(;Q zNyc4C_7i5xLt@PRim*EsVfV_z9+rncsfm0}h;<;vI}xLwHAUPfL_8v9MKza}kSJVI zM=xn;hB!7|&1k`6K44RPs*}7)@4Tq-UJdVj%ijf*BnDKc`Zi^FlCnLCS^k8qu-f-w z#qR>(Z@r2lTpQwFvC|wSnGTX1ht7OQUX}y#-3xr!Ggzooezbp1QgjI(!x0K+)m!VI z|F-?qCj4a_QfCRU`wi<03b@z9cJaG5`}%pO^0jxJHV zCz`pvbrfC^68#}EB*yt}w&$agpy$L$NAMq^CDnInYrcl{lBW9 zvFxAz5h@fLd(aHB4M-i@URW#J`>Q*jR(B6pKYm`?*`HqD8kMWM=N8x_BgF1bf>ccD zleG^I2`8ue7MCZL8}n-D!0f8}6Np@W0J6NcPv1K1<9+S(kIcS)z=_sA8Fiq$eYj6J zI?^*S**7`eKRG=xF+DIj(=#+`Vrq8$w*K$`{`;w=)n)bOoKiitq8MFR9$8u$T~>^) zss@)_V={( zcDM9MTV$Q&ZV9DZLhb6LcS%_?8NatzJTQo^sQAS`$lBWEntEz&eR^$uMyZ~at2GTY zRMYbch!9ZZ+VNqN^Kw9isRiXUz{7%aVootO3!M|ux?=Lk6+j)@OwK9BHKi9_qcg1T zK_X9F$L*-%3d*_sN)E4%!zHjeBo2?l70`J?CQrl$sNh1UO8FpcDG!Q<7Hq96pm4dJ zJf4)RId;nBh_$5@e~$|7hkoITLr!os;kIeR&@|3EqD9+r*DN}xm8M;<0IpyX>C8r2 zTQ#+{j7-6kTW}OI)W@6Bf+CXuDo`zuEAXw9;udmAJ+ZWcP*MoP#|Gg%Z=+pok#06H z5352qTbT0|nEmxUr>mK+Ht)U6v02^}T3PSXOyB&fY)szOqv()Kv-y2AmVn;IY@<=y zDFj+WIk_Cwgw7%%(XT*?Wyg%V;1k{zsFuh1-3_}gUqS!ep&WChse1VW<74Fb6WZgTuDXZu|~)`iv; zF(FBriG}F=in=m#RdI6}o=}Wyz~k!ixCSibiaIp5t_WL;2Eo;0aJ4vm9nggq6(z;> zc<>NcUyQ2*z<`1S%z&f;T%p+kX+DXHx@xL+Ac&?NmS(Y{j8IzI2vSl?C_g-iN;>-d zUk@ES*%a%Sn;;DBsSxeK5Qq&Y+HXSry|s0lL@3Qb6eLy)5Cxf|371OYQ7PP3Dz6ow zg4V%k6SXlVj5Z-uCPZV?+XReu5rYlzAf*YUt-?+Qzq6gy$!2yk!IQksR=%W_$D?xE zn#r~3tT!p{mm;qJ+q+xeyuW)U`~JD?yE-|yzR$gV8k+jyY+mFJ{TlBz`vmU? zG0s1{eQF(k$0+2=xlr5h-`IQ`Y4wMA>pvvh{W1N@pK^Zqrr_o&#GUV;vmTGWLqGct z^YVL){r6bM(^!Wy82i(h=cmy?8qZFno_>#f3OMl{;_0cPXWwIp^;C7+L?K~9M z!zT}Q0o|Ohb^#x~Q0uN&=b>NkW!T_l)Bs%#8odn(zJ^3UL!!T7v%euJz|VA+*m zAx$*zOf-`wnsp|ab|sn1k}Z2vtoze04ScvdlyPG?^UiSggW;SfqXjR=5Ka>q*BPAq zVzK9HiT51x)p*X+{*>E2iPyT~Y&)aPB(dg_cnfiYg*f%H_`_{cCbSRI75igo z2SK(2H^-5b`V#%-aiaUZlpq&$&iiIUgHYT#HoKtO`*G{be{6mH+vet9)SF-A(7wjn z;--3eeS1~CrvR?l`boX}*R`F$D7JoDUH<}Hv8dW#P<@ zQ^r0icA%{89DpqEep=l5G`F=ov9><6qL9waF^2~myTo-;A+bkF?eA?L8R?ju?w(uj zUr-D$u8l2kOss58t!~dKb|&Rp&FUTP&($lRKhyhrTKi?RAsJ(|hc`JSothY)nH!y3 z9G_pBm|vP)SeaRt)7m*Ft0OY=3Rbsv=Tz%sORN1eb3N0u&_t5S8R6I@cX+IQV1zL^ z+&VZ!9vq_d4^aF1GjaHns0fdX8(x(Ut*j2Ntn{xe%a#^8=VyhpQ-bLU{^Tfke1tPL z%o!Qt4G&Ak#``9wMyBT~>KabeZ5mA~Ra45fDW!T^sh&}&XI9r{mQ~YBO3mCc#pEKC ziACkal5%2MIkBReTvAOhu1#xpJtpQfH5Cic$}G@UMvc0)9@ICKTIolMoZg25!v znYA=}MQdwmE475yil?_?X;d`OMN2c9+>D`+a8xqXGK)Yet|j4-MVRy zfo(!%)#k>Qz4yb$+gBvMtWSO3^8RU4;{Ar0n>BB)R)t+E3$-o@w!j7(p@Q|`!DnG1 z7Yai3@sL(K9+tP4Ue7X(@t1eh24nZN=};DIKHAX7xJDKgjux(1mc0yPP+K=@lA z0xS{!R>%Nr6cj5|pcRCQKyy@}8AwsE89KzGDAWQ4OcHE{2!bZ3!vf6;q0#Cm=7R*7 z=lWYfLqGs6{4KKstg^Mb2(-x!vds;$J1pZ2xl{mcj$GDY14siZuE+riv;)`NVDO}7 z2L#Hsyr8SOfmd<@t^i$Vj+$Q9x*|3>AuAytn^#s}+ER^gD#tbyW9y5tkQQ*bdW|b; zQJ5M{szK1$8XT^+ShIFftZ@Y%SBJ;e9$vAvz!=A_I3D(Km})9Cz_b$TpIlK+EIUGl zHs#Rv3h~5CzV`9{Ka2>`xgVn*{Na(z7x}cjb>ZW&gF@;@hZWou;#pD22NT_@fg$Mri zwKq`-McGj)o>wDo{yyREsSIe8`GtaeXJEI!h2Q=b_2fLp$r$5qiSV?{_cqV0 zhB+B!KQoECW#egk)#IK^TtZPHvA4E=gSq&rZ~rgj2Y(w=|1`F6AnRXbv~embu<-np z^rZ0k5V!ExkNqB8cDtnSVsXaJd`68 z^HVtcQ+UTy_*bX!&OjI6qwP0`{|SX^~nMHtwH*<5dF3=eP*};>x}{DjUnfa0UO+h zU1W#rbKe>YqK!q-rd`qIz0p>EF;=~CHa!Wp-HA5RL@QCEg($&PoM0qQ(3d9Ybtmfe zCg}Difa}HH1cTlr^WL;8z3F#)vmf{5*~?(AgGkpYw969CWfpEfp7VGp?M`3P53+bW z@WrLE7M<}H65xvDOQN)!!u0#JcX#R|ZsPo}WBhLv`QAeL-YE%rR1^7v5bs2Ye@=*d z+z|VuCegDzB@&;JjxH>O<8ZJtJQkH!mK#+2-lZYMn~)epNO)776j_!MU6%H?;k|Eb zx)USak(lmVogQ758e1A4S`y(^_4YM6(V3s+Ak1}OWjnNHI+VvhPxZa$@$`pqe~*f? zvZ3*5<@Ukm!Jqej{@)+J{O9J*UzMt#6zT)T)~;fIQ@*z)-`bV0gSYI@Yui7s@BIzX zLb(ksSpZioDEH>%JG1hwS^4IyVq*^czOUL?P;V@4?5u3>%Xhyh_kLC%{B7g&e=2tW zI~b&Cl-T`m26w4ou^@FZ_+Ry46Fom!R6DEk)H zhL+a{mQ=Nh^}~6l2M3h?F6v-6W2}cY-7lIS?VF#STwI=6R?M#|7gkkE%60krj%w>8 z;zZ@-Z+`pRuFTzB?E&Xgfs3FY=FEL7_5RsBOR% z&5ZUYMteP@t(w88V9?9k7^O@`aT^^+qhcs67%~Y8g@h%w;F`%eLMsM~LnXX{xj!gy zzEt31UEpq3=xTv*wn5onF0i-Ga4<@8I*(3qpf#OgQ2m=L2anj>u*-`G}%S(gP_VFHa{{ugrn zPiF_5%?P@X9-^NfVwN6an-P39JHRH_&#b`5u+YyC?r(?)G)4p(X=02BFoyeU;%5r? zHAVQDA$%>6eikTyO#&=5s4ztZ8W#ncpo7h@p_bS%D@>>*1dL#41p^Umu5Ii6wJ%nH zMZUj9o*zVu96yU}KZ`7I4Y0`aw*tutu*na$(@q9~hhGJO`eKD?T3Cc?5^^Ok6na<~ z_QP=?S_EIq3A}nt3#}_6{bN7G=b&tc3 zRBKa&tw0$y<^LMnM|Du0|c8}v|u|l&Y2`|(d?}?vN)bvKJSmIa#cS_kbEIwjPFjbA)*+$^1SAF( zTk!6^&&{Yie@eRdedfdS1rIM2-aAux>y*Y77cfpHSa&OwmnF>CvcSi@(A^Z~Y?SrX zB;tmZi`5m^JFYSD7&vjDu79U};d9UKUq|--I;{M0Xl75=zryABP{^(IHC5#}47wn< z;C)g?%$uYj?|3h#SeGYJ4!5G8Ux|HU9skfY;l4rgJ>9fBXFuFIoq6|E_Psym-v2|v z!{5Un{~rG2kML)w;4e-iUY#SUjmKmaXXo-TgzJqZ5A zX%MKDx5N1|N8Ji1y-MecRj>3boOLzp6*^_k(4L4E6~GLdRS4ZW550QNi(lh$vCdtu z)=jU*Rj=Abw+f0LNVSVzt?R`GH~mI;Z7vc#^qM^Nn!WW%z872kE>iq2QUfm1gDbHmKv%(EH5s)i1w9p4v{#&DtXcJ*9RR17>-ukV&5^Q8icHK#KU4Rw|R$YmfGT?_~ zv%X}Lz9hrGB>lcb{hma98E{34#X$O%;hZ}|c@GEkpAHnh9D%=_K)#$UdO2D6WF+%m zfAUS)yDMEW){+P_NtBr+#!M1tCQh^yr`-^x-)~F2*A#iDBKTHm;2pgG9jxEIvXDo$ zZ=Vt3UN*%&C&oW*ihouc?@|^YfK7-*zJHgW^FFWOLs3p-dAfI9>MP)irsQBkazst? z+tTF7(v&wESG=NUI1%3al%>4EC%!F@3#^WEC&av>ro3k7xU}UsHzvQtM?Ho`JkN@D zPmK*hA`03#>{&)tH}}l<4h{@9$U~?AY+ei5TZZ zPH}F{a-qP&NtiTB6-LZsO-#+nx4y_XKCP-hYFle+7buQSfkPpX}RwcXFk z-Onpq`->a9vum3Z3ia@+vVU6g+*WX#Dv0JK0$zrplK_srDD z+~WAc^5oL$^on9uu{N(-Us~T>Sl@_AN;-aX*ExTlA(nJaO?M29@CJrB{e!?2%-(^v z-a$t1U|aui`_LF`bb{GGbos{3<5yW(+W_^gs5X@wyQxniTKnR3z zxk4bU?hw@pgam#^3zrWqRtO~QjxKJ8lrPYrg4fjn!tEAtyZKsLfZwyY+Qo|Qj*cFo zu(zW_Cg67igz%tp3o)CeEvOLxBUc>naX@}JT%hZP0H_izD>QBaExwnAL_`RfSqs1X+~^SmOMQi+nG_ea^xCFTex!;34{m z5L0A`6*9yYs*CV9f%zK1{R|NP28aLyBosq%10I4WVZMfNA49me5!~At?qh<0Vv6)N zLHU6gqx_9f{)R;XhUg%O7U*E}q9AAm0~u(F3^0X5F@v30uPE?``grGo_?aKAT0jdI zxdB$1F{U>8LAHg#mtY~6VWC&xVVXYPkSMNz9G)``xmpl<4LT1J_Jj83t1BQ{T+Q*n zayZY_Co(xE1D1oUENLpmH{dWeMMYIb=o&P(7K5)Z!qp+MwFpcN0#l99xB`W(LE~z% z_<9`V3aGN8xVWwu+6_5G1<3Ix2tb0S(vqU3g?6z5LIpJBlu%Z3h>EYSDF5n;6XQyc zqG`u{k`~%g>A!Hr(adx$Dh@@_bofjQi380or2(bTX;{W;Pxrl?Nh)NSSM4wyEWR|8tHEZ_p^k1n8IHfWj-|y zzi#Pde#!af>!?@^oG?`1v)eZFscZeGfsG$~7x!c%>r&aWSTZ5x_3~Kab~=wvVYW1p z8*1t+OG}H35U9NL{1362@j+?fE{VR6<6hs0d0`cG-yr(-+1Tr+;;;UD;?>`!Uj65c zYyXsW>)&!7{3-AG>4KL!aC;q;!&!{uIh@nE5~s5zj?h7mQin68FHeJ%JpZl)h~mYW zk{3E<_UFnSbSoV7D?ywMtDFr1Fv^_Hl{%g-b2?KFRa~5_(x3u}qQOg_;BC<4YuMy# z1VZ#RCU_e)dK%Pw7}UDySG!!SdaYaeTCYO0=u!PzuMQfduGauvbsODun>=)zJ#|Um zdM!SBWM4h1zaBm4Vp|C03bw`-+#_0m8$qP8Fvhea&Ws;t#*H`QCs>M-ZMsq~%Tg`_ zUGyf{_9xj6rPz+8*^Q=I52ct7K)NvQNiynAH0pbAIg)dA3U+4_c5kBK{#gElv4V$V zutyV!$HTez2R_`ACHx?bu@k?w>N)a&B(`>dq<S%a8c~xHQJNG{k{nw9-jAB$O3Qd%pX!ZI2*Sh#SH}7@#kx@6y`p_^W8`}g zvs}?p&r&^ar3OAnX2#aml(q|a15;CqkDoSw{Oji4pEozZsMn#2f+h8*_QzH5aO0DF^Rr^>M>#Y){KwVxFH0)miv79O-Ff-Wf?{V`1_BF z$Ty%~m#UpF>wACRI{06Tt)J%N zY(o1W%AHT(`=4Lio|3CamgIf23(&s9=mdXglru2Q2Jh@6!@P+R{?wRoW>PdaEt;Jb zPR$A?X1JqM?Stct-eHio{t@QDNZY_LYI<7xbJcc#uenRq(j#dd=w^)ea>s`xlM}sD zbAvMrL-R|cODkh5@^QIhQmF*j;gyx#qN3vsk#A0&Dl9E!_V%{-_O1?14v*pRTT|6^ad&Vq;CUxu)7ut!*mRo67ZV#pVu(d~#BrUzU%pD#llplgrBKMHN7WHku_1#iVB8VroJ8D_4w6uMAEuiialKy7~x* zt`JoV#q}McCVmH*C!q0#?H!$5VK={{OCZpQg4YcqNsdkTc$)5fEyKko z)7>=J&8)!18u{vSp0jnTlS#CLZq_^ds)l^dc&BK3v}lT%IWIibaX>i zB~(#Mbxj5013b+O_U>6>BzTiGLLdIvg1~(*!h9~my!2sS1~5+p zaD{ssf*`yMkUmgQzWOLXeU!gGphZ!DF)F|W>2HGYH%9mw!$EwFVSXkszpwQb1<>Sl zh!**NKo?L?@4NtTwaO2)hIV9vYzhKx3$?Tez6=k&0)v`(151EtsxP1&kSp39kRwz; zTOqkYSHHR<;LsHTp5gDJ-sfeZ%ZeNExH>et3W2IXpsRo%itu$vTrC`11IJXuFx7A^ zEx_|Qh#W_*XoQZ0;DIP=HCJe{LOTsabGEeQ*cHc%6%}RLu33$xhee(ZWhLMx4VwCj z=A)rw+Swm%C;Ma`Px|;ruF%p#o0FnAbVW0p+`^?&w5Sl#nPQ*_TD!QFDWYj^XiO2E zC1G&8n1XIrM>kK{Ef99G1XAFN7M6&}77|z;jhbPm%r*&+A?0$q*d5)h&K|b3mm}?G z@P!rV?Cjvj?;h#Ae{?SQkuL1e72g%!{top-7w2SJ;%TMJT-Y{I>{gE-TFOeU}6nmYMo1&gov2fZ$OlH2 zWkYk~feChJ51GTNp%Ac@=sZ|za#C<~h*OyBE&oRr{x>fKUOE+I@w+gy{~2ZW|GqQ( zZIazTy}$K`%%`VwU+NUvpG7*J!#G_icD_*Nd>)G9*)oSSWiL;cz4*TL`FCZ{!HrJY z%d-{s7b+d}s~ioh9F3}+j4Pdt%bhNkIs%G(U+Q$a%=t{ktFzUv=j+_{8ol(Jd<;qc zPy>pV0MnKLGjgCg$N0;iSOApj*3%=MM3b}%-afLR#w?-XN;Jw~l5O2{S%wgNpR2 zj&W~|f5l3E#mMxa7W!9aczy_c?DzQ68_yS|IGAj(cX4x5_4)Jm-~MC!&;PNx`;%J! zQLzem@Ns@)Z*dDMcU0|uTHF1k*xp~=++W!M`2?N**!aAn{sIEILIJsALB6}Bg!*Nz zLOT>YtLm*)^|p3YhidC!efOuWPk)tfe3@DKI6Si<9$jtgn{ASgk$Yy^2A0@^D-F%e zqP*PqA)fhxuZnzMl=wcb3VYHJ_l)%3fs_|QDoSas#&&mb=NFbY_y3~a`J&i>Tmi1C z?N4hv2g=R;lS>wIXe`K{92y(CJEiG`)jc^Y93Er$4YYOl(xkH1&h9o@pI~%UHa|PC zyg0PFGN@SXUs>&*UlL8vaYrZVeM8L>8ByFtlyo&oq)naD{E-pu&sFQaU4o0)wGF|8@x{OStr z+0r?McKPC@D~6|*`zIDegA)vCUn5^s#~0Rih-!r5h7J)?Af)g+7y=PXDCLV}0%3QD zKqCsCOq&jf7BW5*4J|aAAVOg;pT&yE9i%Pyy-N~-@AgqVAeC*s%VU|*4E8bH49xqayucx`#esDL9CBzte8j1{wC>~DdY$r6O^|J z*2}Ee)4bHvwA|CU($lck*RUbLuqni_ImD10YTOcTTpMCo8e~ueVBimUa1rIF2ZHp~ zL-^=|z`b>0Ub-+(-9it&LU%pr>IMbwp$qraMR@5Vy>(H(;3c|6KqkHh2p?#10|w%K z93z;|*YhBS8dn@9z@jh^3M|kH7Gw=2*rqVhrZ50p?O;Kd;31b`Ay=TGW1420xkt%^ z9$q=Bueh2QeD$jLZ?5nEgbH~~XfBCyp+d@ZV^9)Yie<7x}R zlUT?VaL5(4MYuW)t{$r?z$nH;M?y-A>&r?&8p;3g-_KiRsdAc+a(Y!SmM@pF|}PxX%|6Zi79NL3ki!a;R!mm>lH0* z35hKxvPDg7A(bg=r%QM=3A-J9RN4mYApx!!Wb!4|n7q8uXGu@ar$5%sf20S0c(L$- zZvOpq`47({o*SZ_EOD-O7%yA2pDpAHFLStyapnt?H#eJ$wW`rbf0XduXnb;f3CNGrmJsK(mT$V_A>?GJ7*KfE!A~Z zB_(JyA{(BWn3wn_E7B)D*g4hfQL@XeM8~V|o?9h7GfR7Fl>Ssd>zQ8ebG`f*daxI| zsFxS8FE8Nj&y_&4KXfV_bgCS5Y8-WHoX*y0=8M%h>(;!wSo2E1=CwgJh>JlLwBT^A z{1p&|PUY*fRW9eWixrKU#R{UY5ugRh--P6E3PSWXA$S=#co@~Xf|u)8I_s4?>6JP{ zjkYQrb*r5&)B;+()@^XnBe-28dg_zB4amMA`V>F?R(}I}kRdbFh!t+ki7??tn(?B{ zxRFrxCb;sW%{yW&1hE$EIP`AuhNjC3JHtTBj;dgn|?dexNdMojiB3hoairU*G+*wg0nX^Ygs?pnPB8Js(ttK5mSA*7CuTTo6LWq|s~e zJwpEC;_A-9-`013RBY^N)+=_kyB>0g8Gu8YVWt}&6`OmSnIQX%>YedrW#9C?WMo1x zIKu87VD%3021hzZC%UGfQiK_~a$#+4eoZ~Mrk+_-Pb$@8inYGQ74UY?>>Ft9mbFNw zM2VQx)rpuK)Baq&eDH}gGRPen;*AdTM@Kux#zo_kl8I?>6^xE?hlg2%1I+$DdS6f5 zKp$&(kUKWgK0HY7?hJ~LJ9YZ>@q7J${~!Ouz{K>2J9jPZF8$Ac`lqjz7{B>#Ncdau zb}v_K%2(IrOKU3&ilzD0h1r$)+2y&p<=MIA`9=BSifUO74Hi+Tc2uferE*6p-&U+{ zt;)An(^|{%V@v+&_;VE#Pnw+1WUYY@4e^EZW zq?lPyKu1M1ayZ-v(X_+Ty5i6qUtO`(KRz!S7^h2nfh%hH!kVM?iX&Hu*+Qv6+|wcK z=@7_{QE}20JjfN@Ty7Vif4pANt68t;=5xBB(<1E>h!!ldc2DHwGR5%`R84JX2Zwza zHtT4*y2cfB8oRZX)v6g30xelExHKA@(%RlaV>Z*F^@@5ra0R`DO2tzsI4T7T%^jm0 z7FV=1V@O00G`R)YN`o`n3#zJe(h}3Xozq|6$#A`#7Kck8OR^-F5D???AR~N$#ua{A zROljokK&_^9>V(~-0LFD^CC>E3pZVu`vsWCdAR3!gx7hb_j#nx1po|$7x*-Nn3sN` zCzJvZ56#uf;Ol%4ALD!pTmd*yQQlZlPN=8=(W0Um zYOPt_QVsR2&}@Gkp#nOWimxxh)tBNRSCp4DRF*bYl@qEfh}D&cn;?g-&=hTIN1Pw# zXoA=gEf|EO_T3G2G-&=QcwrrlP)Bd72d_FVw_uZ+Iph{Da0Qvdr_cngnk^4HO9Db; zOQc^X%Ze)%xaS` z*%CUxvt887=^SDSx@xh7g>URrpI^*+qF?w(AMp@e4f3Ao=RP+qv^PUK*`i-xF7mj9 z^0h z7WPTR{SwJwXXkLIbXd|kEbbic5D)N$yz+jaJ$e5HQCmycY_*Z)`ECktZ~z=aXVk_dbS2SNeZ3&sC9>$XEu0VJfejm zQL_os@{hnO(KO<57pAyZzo6+hOR7j4OjwBSZrfQQgC(U#m8b9S^TC&rW)YsQZ= z?|5e+O0<$B+jOVd_NHGN%)By?eyK0b20C^MxdQ0IsyEfP@BQWe^lJm@*ZVVX_GjH0 z%)L8QaDNE#pfC4s_lKL3gdfB)mxU45f)I0Igt<7%ToPw4Nw5(mUF}G@!HU1t8g-{B z>|SHYz51ZLwSjjDVRuPy@3qD}phZ7qL_em-JS9axsf&D49{IF5$^jGOQWWb^7Vln{ z;6_YxZAyII^v=04-nll>vohJgJT4cAb*_8N_lkuYc{j;)& zhacSUr1;t+(_(8&aV#ctXk=8my}k4K$MyXK<@QH8$j<)i?!n5={?g{|q8e&bxe5&z z`w^Niw!RN7wgYSca;QEos`i)G4j@;oeOXc-EGa%MDfWRYmX(kzlpA~M?ftc_Jq;~( zRGWM2I|o~PKdLql7L|Kbi#y$uO4i^!p?j=#V1YBL5>ITA8671>sJy7af)F>P&kL;k z-HPBxgt+IFbSFw-C>8gfQCHk67A!BzKYsa-&Hs z_MVxY!~q-AyIbNUc4Fh+8@;<5+t?HX#`Ge3Z=$1)dhflUj*tK$354h!w8&ja=;$aaVDG`-*c3h2%3k(bUfBxU!TjIYQ@bybf zyI0@VJ+rW3om-i*FHBmUmMO=?gmv6BZ5W@_87x|ZSp#A;>r7KnBkoDNX==`5ou9V4 zrlws}?ygo-GpQ zx=HK!jLl+qSm*3B&T04gQ_soM-@5|jH&?i6;cdp@QpPg80u|!TcLnaO7O}r^O1$748V=Q~`~`qf)qk)34j(3cv{_)GD0k z8G#DTDWk9{(1;KQ)CCKg20{g|Thans(gK=O z{TovbHYEGFmnppKle{1#Bzo0DxA!+B?{7#t0Bv?8`qU=))Bswy8XNmTT7eBZN8oVe@8TXV2B89SMXzW3!(CR<(Kg)HGS~_<(mc@7JkZ%X*xfz^ z?;P&!M)dWd+?}sJO-TQ3vjYJwLHup41+*vPc7+EOp8Ab}Uff{s=uj^n&;mK+X;neT zpcoi56N_PCuq+IYg(YxC$vlF`6?74iAsVF%F;oGH${QiEhX{;8JRL=3;K?j1&;^YT z;DKX^u}m?BB}TKv1d51?7cwz?DuGX;@bC;ig{xo)b##t=u%)*4$@Rj^zUAkAYtH!A zMfp~p4=B4FRB}C};(7$^`jNUD$LeB^)Fm9MOA4<`2&sz=EWZ()dFE)+S0~fYB~`s@ z$Dp+$>EhU!-DI##XmlE(R7T|pNDMB8#h`N-OdgXZV6!D0t`z!zoTC!(G-82XCZ13# ztU9gJG_h=+Tro|pn5@gnaT{By!|?>&1OlwT|5amsZr+Q$)Y}CYjuo5^%l{!T?}YE` z69^2xmTzWWPAfd3l(X8OeAS@hPmQVXTZ0 z_LD$1w20wHd*Vxf?$62!;^c+#Uq=XwBBdpVC2u07`C*cr5NR$zMYuBWko?tQan4~u z_F+-(SE7RN#6_p%<)_E0qcrtV%E}+4Z%znvz7b>|<7Y&2AA|`q!bF*2;_NVCb|f$7 z2s`I1%Jbv6$KQ_JJu#eqVkqszVCo6fgOj5f-;*;>QJ$TqW<-&noWVUkgLr!qVcWj6Zd+WlF04(@uUY2-Ep`AZ93ZZ@j`_EC zh!$Hm=jPnP*22op%EsH}^__*4P3Pj8Yk6a7ZF_a|?ZWCV_&Sr0O@(EFuC*d$Mxw^X z9$%7JHVHIQcS}q4iwD&YVrvsFHrzhZl^z9LfiJp=hdso%7E*@VRU+Q(?ELoozpie5 zoL|}Y%o^M4g5_G9aV}e(%l3t}xs@&F+79H3<*ljt6}832SL+!v6+=G8P^x(blh)y! z+1g!t_tW<7Pe1Pb^z-(|_Z#nbHs0=RzkmDwr}sbqW&Qm}+v1XXdWvsQQY$$RtFSl5I3fr>#PhnXAzQoS30j-fPpYb*pP*a&~26#s$m(-Vvw` zW|hV$R~sa1y-1}KskB0nF|AmwmuSXix(TIzQe&Lf8Lc|wj9xcw&|3{=yTR(z+g+W* zsNecm9P~BVpfjZA832!Y+sypj%)GW79ITrk`9=o19WDK!u4W(QrgYvB<0x&9HF-40s(Zs_4kiXwAOU^z1}KMr7?{ zU)Y1sVE4bQxp$!Et{*HdusS8AGC8a=IkYl4xH37gCfUC(`JfvQ-fmHR=?MS^Kt)r^ zfu@v$AdSff>yr*bD-yB56<)CDebv#QS4V#ai}|c37Uc7q*nO}VZ_h4C)gAB3+g=s7 zzbwD~Wf>H&|NEz3`*=t1FO4}+8hfxb*0(gyuPh$u!oMOh0Q@ACDL@w?Rmq`M$>G(> zfEJO}sUU}{QVvz794b$aEJ=p?ZGsdhM--<-Lanh<50|8Y{3ous8S~)L^Mc~)hK_;S zw*IQtzKZ6)%GSQBw*KmN@L_Ldb5BKMS4C5IMH9TT30~dYSJT{I+dNR;JOF6X+%(YE zKHS-j>~_y5?S`Ye;3#nI?m>g}K&>jE^tjJ}bax`V+DAHChud3*I$DQ1TZg*ahI={? zz1_%uIC`KL3pK15zz;(0DF{P@P=4!n^=s_}3IWBvWI-PBlyMHZ9}GRw-7m|%UV$7W zqerM%6k`+v_0M#7yW$cEJOYsi6<3g<`U(PtkEifQsRAs8haq!OBo30qMi5ye1SXoq z8l`ZEG%f+Sf+ob%ML4?1y&EFLQ3OOHpEAlP5&3vBqzTVyYjXPSCbhIYrNNqwyeQa>Wjo_D25y{7n z-aUJ>JiB&eSijVmNWwNq?5pUn_~cL99xj)12S@Bk`QLY_v% z*GU9Mxp+b)pVF#qTD3!?v1_z;nQD?J)zkQjQI-%%W%Uur?VauQZ?Y=VZx%(LdUg5e zi&Or&r+f=f`IMdBUlHY99pzOEa>lFf?3Z=tzHGeY)pFIl{l@-|>t8~xD%`Wq`)+vA7l?Y!>Yed9py?Sq4{{)mJ?baD_bH5i`;5=2N1Af^S7?*&pH z1koP_Gc&^2&m-8G(3CO8vvB&;FzVAVN=7I(BZQd|#Ca0H$?#`o_%k#78P5WknZeAL zp`4sBeqN;L^&xS=AxU0@PzD$;#y_lXC{K(5&Lz$Nb zGB5OI-|Wtd@5oPS%}Hr`nbMM(*pqo@DD&z_=7s(jXS*_^nxCJoeth-K{g~Qh=fM%C^l3O~0C1-L!4Lb!_iC*0*Mtp?O|&uC2NGomtn;?825~ zX~Vv_G2_~>&O@1*-?9T*%)8^lH$VZFYA3<6o9`J_0#FO}v*jXP2Og4jXt;o?V`HEP~&{zPLUM)mLmo zk6GFrx6dmkrukX}Q>7ux6f~7uY?;!z7AIHN9V;6P%bUx~Tgxl%tnaLCzuS2GqicP8 ze0EN3G%&}MWQ7DP<&(yw?e=NU-_`Ga`pL4iJhiYqJ--4iEX*xiW*1GfF1cljJ~oEn z^SbDi`cX{D$Uq|*4>& zTC2lgoz+j-^_Cf(d0K0lgjOf?Cbc_b`f-(RT&XiEv_^%-s8B;0Q=7Ev3BAT_R9j4H z@Frr?WSBNh*i4i5p1$GV)+-MBnx<#XQ;x|=$CTMVZJL=jPETshCb?cGQ0e%pagoLX zXrZ2P7^Yno$NZGjKJA>cLcP8%GcKro7F4V0G)>KYDzN~f0QXPY7Qmgr6*8Tftc@`)S)jVEI9Wjv27fEn1bPjT;b{I0%&Apsu(dkFXnK2Of$ zg2()NB!niQQ~5M14}?y0pEhL)8BA!}DUHsf(RfrS?&1pfz*G0AQw~&LK?bg1kqJzw zaW{@ez){Hr29?AD-XN1%fEJ@<2AWJC*>eS<1%qvbP=Tq(VSpMRew%tqJLEq08dbLN^o^bXmv_Bv>O5? zqB14CB00P~DZDf(tRyL{7`lc7V3b15HV?U%ETH|7vee%tZLcrZt;<*Mr$2aAP+HRr zuWW>uHTIS?_LVjDmA3$0^j0)?mp68l*0+^5bd)r7l{9vjLAvOzcGIGn#dY>#J9{x5a18WeH@d?;kE|OCp2)=!IT!*Pjc1_=EEIHQqls)Zi36B{rSfoe z9*)MxySGb5p^Xwgips}OcsLSol*k_?@o~TvG%-(N(2P3_CL0BZXfJ(Ml5(=*b~x;U zSKX<9syn-{_M&g?)u7tzVRg46>tYVqBp$0y`MNsocunHr`qJU{ zl3CmjXHw{94$mx;nH5r_oTrp9_#!G#Koju5H)6tA&Cwa1{YsaJ6Ed zPQo+Dct#n2TnZvEiUbCMK*!^21Y(^;IWE(h=?vCzcU#k&=Vgy$a$`^xM*K&v@a&w7ai+|jP)Oh4H$|G9E=OfKb7G>d$@}0K$9< zb>pN1Z#)m>yo})I91^`cBnFVkkC5esgUIusRSQ51`K!Z<{A0@3$CZWOsfxZCEB$J$ z;+U%JYen%l@`p`zR%QC_GhKT=e1l%0Ky^7L!$!*3AxzZtmu zZEyOC{s-R=Wt>7}o<_bnjmnBbXGfu4o`nvaW?mZ1yx#XLy7y_qKxX35%cS8faE%^# zd95$&N>|R!w!GNpyo9E#xQ6F3ZO`wFyu3}zy-CWt+WP2hZo-KdsprdI-S28BCt^m% zlycYd^2WQ5E8Fj(0?3se$KsZ49=tSf+LpKNPz$NI&h?%7wViqJ#(!~h*0t_%ZOkrg zLX%7vfh9I)=0P@QoSV?IobJqR08uzxP<@4S32;1~+ zhn0;VS2ljOEpF-^bFxW`!8vDLU!UK7CsmIjMh2^k^D3U-ElIv!eDnL})HB1+E|Fi~ zB37gk8Zt?}6*2*7de*-D<6m66AE7>1OI!BkZO78KV-fs3Yg3LT@EQknv9}wtvbC`J zZhrmk^unsaJ});$cCKDfgXfX2h27$pS zHX3EdafQ*O8aJuOC$!@eI^%?X+-xveOcRqP^VImnq|s#28!Z~0Nj+vzDRdfzUN1Ko z6^04<_@vS_rJR^ln#Yj&D!&dFJab>8Y&oC2{gOxj!)o0}F^=bkRys}_?p3)7AzaF51hm1s;% znR=8j9$>P18B92v)y-uM@wiwnpTZR}coH^W&J!phR{$+=+~K+dZFb0kCH4-SGN7X( ze2!emR|xrXC{Rg;n8gy(Av|!YfC@A&lO^EtBz%#ACy=pu5++B)Un(^M$h$V27uBErT~Fqb_NSrEk3;Jp1jEvUtJ2)ZJfW2e2oApz37s${qv*_oqUif+hP`C;L?=AFNLD#0LiD04#AoNOgjDRf1Pl z+`h`#FDhd{uLQ1um;q?!I?LNRZOx2tbaKl!!f7oIP_lF(o_ubwzDQX>C_g9lWrbplbK;hw=C02rO9o(`lZ;C5d(W)O}W?#Dwr9S8~%Nf{X-4G#la5P>T^ z85t%c_sTE#0=WV~29F#WA&!g?KoAH55=lTINoWKaJwm}EXb>u}Yzl!#BMX^yz-g%` z44Rlq5s-il@N5i@iNw%BP*?^U$Hd^-I3jnH!pBniXgVLs;A7|l;0h8|h^O#9YZ@pr z2SwqcC_FTok0A*N6scHYw#+Qq=a#t)N>6=Z>EkPv@ke2ozNkC(_YG(MrSZanrYnJs zH$v*8!|UP?!IHnKO#7}f{RAxOSbc1G)%Bq4)Bb5k58gfXT~S6(S34d@&{7#jp1>>; zn#9~OF;gU_3q&-rkSZ6^RT7RyF4W6JI;l`A76M(23Ari(Tg7K8`7{NeEa#ErTp|=c zRV89;Wdfr?V{_Qn*4KYBn`f8|T2EJf)tii*yI1aB49U0IAb*NOiRaq1s2=Rd<=-A}sh zPrMUAhz=Z$4Z_3*BV$8`<3b1GLVM#vyW>N<6GFR^Lc5Yf;3*;fslkJ(frBZ2gULRF zNnQi-pZCT5bMKvh>b~et8Bg~!H<4ylU6 zRV7DMCC61IC*`ld6~FqLpLLX<4R8`7coith50Si%kQE-`#g2*|G%DRBgygc&k#^96a{>SkHPZI|-lLucW4`jvl zW#5A5TyM|4)sz=q_bR&X<*mA>*V~_7Bjnsv6h`xNZ^BZ}-Z}sE^;;K8$_uFs5_ol5 zSXq4k^G_ds`RnS=NBiRTlyk#6zh#3qHK1W1_NCpqmACGbq3;(rcIQ`sD3%?rmDz=j zId@ZQhYMPlusJto=GJHC);`5Pzu_L9zCFLZ<67Na0I1k_yR`WZWO?hoCu`e3ZtniF z`~H6|Z@#rJFPNQEvm36pAGdb@^@Gl$$Kuhj%F@!T$FEavC6pB&|HgutH2X8&&hO&&ZrF5F~dOHZ+*NE9`Lb_Pg;$WR{i9ZdSYCv)pF%yEQy9C z)v}~IwoJ#7>$q~GXlzPloHa~4EsoildAoBN+FhDkngaB)16s_3n5~d2#x1iGQ_d;d zf^BZaGBd9+O^e5j42crQ6AUmIa0b1H&FJPbhIpJ&o&Z7xPsZg#M?5^IJUsDy$mi|V zX97-mI%V-#QUOOM;w!`gg+vI25559hKx1&IbT);?0#`OyB$OznO08I~7D$v_p`6JT zQ<(x1jY}l6@B{`_oQbD<&V5jbY$}OMC-LYc4xPwi5SdI8i$!L$C>(~n+LKJ>;3%vS z61|^5=^7=rU`HFV*m@kcZWLRO$2Q{kT+xa}wW1NNID9La-O7?Tp~y9`+VYJ1<%w4+ zZXT~X?^k}oxA;m>!Hw|O*F)c22`s+kSDo;6%ZqEh)%Sr1%8v#7jNL)qW;W`5QF!S-u+rr4ij;_|v{l_`g+QV)AlnGy-DX(Wf0CWRI!g5M>?vYz1WssY%2&H)7FD-??!h(!E|<`ySmZcPyjQK9UX{{_7P}QSqIdx zq8E-C=pTiaCWc9FCy;)11;Im$ks&f-gaUQ7f+{84#S$o}=M}UYf&iZ)Ax4NufC>aa z1rdz^uApELR4kG{it>y>=a30J3Ryq}p$KVIA;paf0)Yd$Vw43$fxz_TFerO83HjwDrP9fEVYyisGySyv?AUZpR3?=6atP? z$WaMdV?u^XNLLAIPy_%K47G%#l?n_R)s$soer|R{DILQO_SY7^eDf$SJNESBbD^2% zg7YtglwJ&Z^}YX-BL`9fzeo-{n0zE8`I{q8FMaHhVFmYbN58=qwo8lo*sB{W+?0INX}VA?pZ|6c|_KQk(U<-pI`3FxCVc6vo|BU z?^%3bW>W8q1b9|_cTQ~QtJwDZ*tY!Ww%l9oS=YLrUmnP~gnV>i;Nd0MquW`J6Y~qR z2NAt0tzymFA)mv-i%=R&CXOJ4CWvie)8^W+&9B>>Yj)R~r=Ao1{D4M)7W12L9cxs($lyA~8PR_3??t&)vulvJaZ zZ86DgR=v|{U0#`-Uzl*r8K!5nQ`WJ`X@zA{YO#ndW`TJ^GGUUN#>b4tF@s@DXHaYP zTAk6LH<^rPi+O5#YQ{D*YqQPS>`t3~ern2Yo|qmtOc>Qhy+Ws#Ld6zlxnWXnoK_gD zO1)L78))hHZN0+#z@%n;QawJYGMeRj;0NFefC>#;s%6Wx9JyYgG>Fv`3d6L{GHbTY zTIcMxd8=b#dUnx+3QsKV3JqwA&Vp6i)B)UTA|iU6dIva#TCljuHX}?Y$AnCB13JjC}j5DArT6fM&i*( zTpEEz!!u}jI-S5^kXRseGMh%>kSH81nK?qD^%E&wcp{KPBM#RviUX)6xE4IF zbrjozMYW(2EjU~YnbyJ-G@$UXn!1W-8Rbd0D{h{wI2TxY*01nlz^ki4udW2-U-B)u zaG);z`=PRX%#m8wXgh=0OQQ}mm;kjvO1~rySHKr(x#DrQ#KMqTDJ&&nl!_hbA8D@a zD|^zJeX}R)QXhC{@$y9P^W$Alj-?p_2eJ;HsQGpr^(tTsKgEQ7ag99o_dR+Me%K~;@jROclMV?A1I4CSP|z}mEd2U7+8}O zT$>VFn;KT*K646SQ<)N4o)laLxgr=sMSO5+LP%L6xHBAbMe-qcB0<21<_)amaqcnb(4bQHKrsTIO(bwgL@t5I z#k)~~!?Uq?78()-+p`0LA#t%39>4?O1eyT_N9Pl$d@>nYvLMl*B2OYTYfMVw%E@dw zg{h#klw!F_Z<;ku*l0v-2Q1I+ieojGyz5W@W8?YHn=c=1z8>6oE4cnnC@eOjI`L>_ z+Ba2c-_|C7)ewKE`es;8RAAas-}LXlef{7?TO$UERZ{2%fp|(PwTJ~8F#NDn`7^T1~bheGc~{qX$G?b4?Y+bdop z;fHedRu zu4{i9xcvnx)(aDV0H1V_l?c9|XCcDOP;pkMGzY4Y5M&2)vx0cp zVZ7YKyu7cudEaphzURC?!+ZUmpx}tOAXr)uA%A^LQTQDohal%G?u#RW>_ehg5#sz% zNq)GbAW~9rNRWGso%Jm}^W9el;CD~-J^o?f8Tfm0ZaC{a5+wV=NcM%HtP2BK z=le3x_dGq{_2goA#`T_z82Gb}6V0ZSfGIUnu3-o%Xfu_2tctrS*-4)lJvx_Wa7OYxVu&#*fR}e_q=9*|q** zZh3chaT{u_=^i`oTw0$80k;>oW*7DVvKpd{kUtO`gu(tc}Q30~D`Q!TLFI$`c zy0-cA%I3Sp&8@X}@3w#b>FrZZ=&6it{}Ivri31+IXq9mdpjl}2Eg(9gOY+i&M~-UD42W*4O9DVlO@gu@=@ zajO~Y>!mZ(#>EBm!s7J8qRq8rbuCRnb2?lm*MfdwL9^&G&O?g?R;%4? zo-*o8+A+OeZ7^!aO*)fhd~#|Ma)sUDnwwv8F0MM}7j3hy=^4j_X;P;#sufzTQm0qy z$CU=NLO-R@Ps_FajqShHZF=uFD|8bwtx2i@s4xHoaOGMyRzMpLPRJw7QN-L6$afMPQS43fOi4+z<0)@(nk#|%99hyZ$y=y2`P&5%Rldzec3Pjl27)9{W)j9YV|~hE zeM)0}N@9G9qkTTPqUg3y@tuRkcYI5t{Yqm3D&m7G6GEzz!fKMkYf~a?QX^q$5zrU89- zn9J!;AHFOt&8e=-Z|Ep&9Vlq%&WE+-RWue!|4Ht?C@C=^n1{K{WQFn)@(q1K9Qf9F%@sdmpw9j&AKnwsej( zwGTD44%D{}G`0^lcaF68pt}39eZz!71Zi*t&|*&%pIk9KM1mG85WooxAc|28%M%m=7!MNGAdV2S}Y$|8>||= znS?{NRlRb%;;Y)r`x~PE&~)L8maD!kHz8Nl-3fukgjFXTsZ2fYaYbYNVc5;^oT#9* zBfe=TzsUig^a6}@$^!jPRav!j&YeX235$S ziFqu!n5zbNLWR9NxZi1PE1na2YYg7%;N{9j^^9m}|Nr}#xqM`IHnkCmvTSOTKCrLy4F!^}sq z58^H)T|S<4HZ<{v{fXcFQ`)!xaR1xCfAZ~r%Rc$vicbA^*qOg;yYvr(H~tA1^BF0A zA3e#NmEuEB_N65I5t0M2Nx_Juu))O0zNEwOq@(b}!vl#y!wKGq_|J!9KO2nsY#{pc zftY;*F1J%7dnf6n6o!P7v|^C0nyAW2rR5QySs5bI?S zGb@adbA*xm4L$E9wIGV}`U0cidv4wl;j18VUbwX2sOgME~PcgU`uel_h@n z@Lc4>Yd_Q$zQE&#lv=sXIkWR&_x+!LT;1MwEG$7YEEa(--Y#$cxVHPt#)p4fd-vC+ z%^#h>6$_ho*Sc+f#o=0YF0L;uZ@M66K(!MdQ~*W%eh1`}E9Rg>snCo2!rFhZSOM-? z+4#7&{^yOgziw>)Wn<^h>u-PB`uNM+KmY5yU;fQLyQq+8NC*nDE^qEEZEP>DZ_jP* z*mifP-|xRZ6%mQW2Elk_zC#DdYEoO#CSaRn5c%QEBch~+Nn z1o!AHHnGM?7c1~Q5sJebg#Nv;1_ayz2_G#Ik_BRpyT|75vPTO~JizeKg3pr+_}~g$ zA>nbwpCS?|WOB7~Os7z3WeT-aKBiRb)cSFaaRTT9xB|RVGdMyrodaA!rg3O=9)lrZ zvqW5u1O(6mxPn4pQ$`tN9F>fvkVk1`Je@*dcqWDr$!rYd3cAM?ZKH(d(a}cyXaixi zk$`I^;93d4u2-N&nz5)x60U(sszZ&y>KZCv(UmEJgC5*7CPw14i|gD)-~$h_d4 zd3IlB)Mu^FukuG4R;>o-lzCihkVrIqAPRw!E>N(98m`DFluSZ@gmGkYe;=x$thew% zOUC7<2d5g+zN$+Kg(U=6#RXQx`d20bAw<;NJ5vAfNYmq^Eg8pJ9v^Ob6xs41yx|@o zM`&eQNEHAE;DkG{yCJajU{9*kf~wO3tKIWS-3f%bTXWZdr0fL-O&9@4@GFnoOIfU6 zX{=vKtY2}AUr~(TfBoc&JN`v?0*a#pi=%@|V?)a0!zvRas*(=DQV!Ro9<50|0!xjo zP6@9}4y{NEDNhV8OMqPAj@uOpVdaV86^RiQiIMJr8xi0hC<(vCqu#IdwcsdE!9mpO! zDPJ!W>g6JXRHPFN#sqvNvb(S9S;nKNZytYt=*6kXyffkXQQ-wq;jg2@AAc1X9pn?W zZ(ri~r(fNB(o)kpGK`^f1@dtdmCqeOk2JK^*VL9*mgJY@Wfr}>SNJ5p;QqCO)N}cX zC-Y;Dy}lJ*bS<#-vQIVmt*>~sUESAp?F;zz&j)UN1~Pc_v%%Y+4@P?p#vUAs_a8|L zLZpVF(!;Q6fum`@qp1fl$=;|$uaS7K;dt-C`2B zeUNbC{V?MF5aRt{5|kjqJ%8NYgXlDGO!|J@T_5~?Kf*mf!d*XNx-a>jKkZ=v>q!vj zSuig%M35EA&kE&bg>bThIoV;HoI~8)qnuY?v-7@X<(~vMc)5}M>>y!oxH#{KdlLjI zu3$eu#LJ2l=0-^J!Tk}!SK)%(aDMJFUhWA_P88|+56DL+dhdPP_xSsP=Vykp&Lgq_ zDz0K)UPEME9?Uu4n{x)9b-MfI51pB(I-Xr@%ec|{B)08&YTL^P9XXHTuhIwd69)2b zc4eM#dUyhM_uJBY=L_!NE`RlOq_15n6-?WvoQvR1{O0=Z&f@wyVpjvh&mO){l$p@8_3y<{(9QdS5H{vFJcRi7sMss6So&04@wcw< zY>O zwg1r#LUuHz>>;x$pFh~B;W4e??eXTHXV>1(EN)HCuL4v|LMJj-9ZOpa>+e>!J}z&5 zSl)cUwDERfZP&HB4RzxL-+KFlYx})@ZEJFI#praYZ4TL#Rbrl!o2Qf$(>m+y)Y7W+ z?R(qyu5NxoXtq!_TAWNe#OEPILc*AmX)^LAC%S*FuQ>kUy?lB~F+HWULeV?yldgr? zl{MGe7SO`_Huz0fjBeC%CdTE~>G3(I9elghjfM5?<*m2# zJG*w^inqIS+dE6(>1*3A=hDoSV?u8+YEAkvgI1|CXvR$ji^XiU&dfTTi|+M`B^!9@ zx6PT%R-Mi?rqZbuI<;J@k!i+d+9|1)F^v1}*zw=`WBgzLr8qlZ!(sQv>X@INowwMW6VrRH*rSD87Z57kXF~ujz-^1&r8Uop z)CQ_hHp&yCINU)N3wUgR&lwQ$&_V%OAmZ|%#fnd^_;txb%4SQUxutAK8txvOa)Cf0 z5-Ej3g-|FL2xTBbkz6EJNMvJjr3Sb{snP;kfE!~PgIaHbT%pm6NXesu-GyBQ7@|0Arg36LmsX{7|OG4oZ{k^!3dIT)D_jOA9vkR?{ ze`tR2Ra1I+eQF4J(Ra@(4X(KtUia`&!=uQiCy~t=kxh?68y^HU+zqHrhp14I5?BGQ zsX>)#Ac0j7B%o_m>Zd?M&#O`bE0Y7OQi7_I!Iuq&rGSLMQbIwhl7cG|0?On4Jt>R# zD~*Fv66aSO>;GSW?O#z89at0{R2&lwQW6(h8Xs1c;6_5yp~~dL?yZf8%A~N0q|ow& zkTQ=b;=m)pHKa5yv^i0A|cY9h~IPKZ(MQp{E6u38!7khKFoTRSyY{0(^1+s zQrys22x~7WZ!Chfl-9RbGEbba8?e4DtFIBxmHT{U% z0d#F2vbGoKVgyRhNG%*u+cQ!JAF1ydsqY?X@T3O>(b$V@?nk!{V%vsBJ4OgyC~^;q z+>0a)AV@CiTg=3&bp_&R5o`oW?P(&z5cTgl2paq)3#nO2= zCRAMUx2|AG$t($pB_h#9M2e6^649AbHebc&Nl=6E*7EGij2p1Td-aI4t$s`ovGJ2)X-J(EZcj7e2~rYeXT@G74P>Tp^WN zL_!UZE#|R=0+w9FQcKtxpbIe&6k32XLmU%iN|2#yCoYP@hCqvVZ2Hptr{lV)%>V@lN zIi-kUGMORakC~J+F0Rf*5QvA#l;KeV0*ytCpa%Q^@A=0m5B> zsN2Y)1d^>?)sC{4-nJ#K}q)}-Sr`+`{2_Lj;0>Or~4D{2aq2@XG2(-Vce_; zZgx1d1CkvIHO|Tj7v@Haa)B8R3v-VMvLhjNybKa#hl_HLNb&rRan|lhL`$Kom>Gl^Fo1b29d>qsAET#3u!;b8X-rV$|R|$Pt*Xz?y7TgZaz8z7L zal5WOcc8zE&u4=-x~m)O%WLb4Yiq8R)w!h=yKBk509>)=T=w*l{DDTD zfH`NM+j#re#qA$w*WOx}Hm6)`mf2;CW68F#F~7F!7R9?I@ZDE;=a=`ka^}}|7PsCn z?f_c6b8hb1*SDuv)+ZL1C+3$Y7glB#R_#mcjl!~!R zIYp=8m`wuU3j5x9kgwmplbB5s%Y=AxLOeC0vRRGu^Va2+SwMxgt+kEarL}G6%7%Su z&E#|`W^7!`1jDE&YsN<9GPX`9w@jKGb2E#}^XpryZ$B*TzHAqaT9|Dvwb?2d(~|`f98Z7*t^lauav)a- zxxf_^fr!VK@*rCL<_aDUxI)5WiJ9&hrr-uJ29FOEp^!+VZssZuOcNfcu;rADsO z%H5n$c|@T#YINfo!-U5bVg*#XDU_-_5r`DvOM$P?WD4n29+k|YkU3O$Xe2hB#G-pD zE1+|x?vWx?4uSfcE4uK+7J!Oh>nrLBdv%*FIN%C&3knHb(M-ZOGsq2SR9#bBO@3MV zy?X^WPQUo}z>5=J+2;asu0`Zr4bQ$5^zxiv_5F*(^{@Ceq>w}Ba|B$Dip5dUIZ85H zK_GLmC_Jin0NL4wYJnl@3x~>|^ybHQWuEJJcC!7+S8Wd?njeHU+zW;#p5G6ye-u{# zIK1IWSYt+LV@62*L;t#a2W!&2t5ba{Q+&&k{K}I3%0W_~YekA*WvYK=N`O0oo*Na( zP@l~5MCklT1$2HSq$)Y2Iwc&I8VO5{sDf4)g31#EevN-wf`4f|l#=*>Pkph9VuFfe zgNtKBpu~k1$A_0BgqJ2nlqN)$B_1mCEIuRvQ~*K%NCcP0LMed~0s_$@F1#!*qC7sb zA|6~p+?I&{-?Dce1j`1KFcr9uWB!ELzXu56~Q_R%bQAIt>q0JRW046 z&E17f-T6&D1+9IrJBA9oMoPLz%6mqtdPiUbsJbCc{V=w65Dn`?RKtg>dWI^y2P?Y< zs=5ZNy9Z(2Lp9w)b}-DCgchv4T+>7 zP&5RZhQQE~?pjUcC=-ciA_*W2B+(Nl2t*4C2e@LC33d4x2;R|JmR0@qR&CO^4Oe}DE9%bv3+&t%)fc>BSAA-4 z`PIe**CrgQN%^|QSSM|J!_{NPZ%1lYN?&qHKJHJDl<^aYu zmwjK~4$QgcmwwSZ`K(7+fcssK6BmxS#s3)IP}xppDmdbmnFXuVv_G?IV`HkJY{GJm3CuZ_dR`Ll}iWf84hx)>cnBb0ybwflS zAB{LV6#ngC*pY!y7yyjn@MB{U#}TmoraL~yogC{yi}Rqzc`#x_7IPA!y7HTyKpn6?!F9jyI=90SjCIrIiq5{gVS{ZVbT)8)=!!#B zxGF1lVa28ce&H8a9CG3?=FNSp zUZjm6df&b&4}I7Y_v29NBTVj7LTMtU;T3zJLCvFE^oDmo{lA;<{%qd)uv zSm)NwD@Lcmu?wFFJUe&|wq1j3|BDTi(_r7RY`?SZeYC&(+4*Yf&@3x+K@@7Od7ao6~6DvN?9G;FUOl$97h&4vpC&G3eRzb2yO@TyQbd zK=g9a!qS}HsB>;_e)!q)?t^Y`e`ROau>a2f{-@oKe|GG?GugM-^;Ye|szj=qo)QUW zr4q4HF4w5l3v=@;3ocP8m2+~bS|L#@CF&{G6tKkK{>|Tj{O*7J4$$IX{u$um>m&dE zYyS9uAUQz(;eY(@Z~x|RK>#hZe5sNrQBF(M617&npj}u|FR!WAbgFfodR3?S;)=s8 z>9kAmIJe|#mbGG>TQzFejFPz(wpfAVOd*&Y;EG`;bBGOHF~DU`ayh^i9L@~qvnvi! z!QlwN37yWTQn}#j4^F@zC=O?qKP{dW%4S5ah-Ct)0P>Ezpp=%OEB2@xWC{%ND zl~$&LZ9NW4H~F)Y8IfElRf%QlS)rUiB?iwzqjHIO1`gv|65^`iq!5`jB9rbqf>2#M zi4b9bAtr+OX&wZ+;=fuC^2HS`$jKHwriDsqLQXcccGeYEmL?|V-M^G_=Bw0mUu9kQ zc=hm9-h<$rJN}tByh@^PwwI(KMqBadaWa8QrwXVvA&Dly(`FF}!bneVZ*4_iRsKLl z_E1^MKw(7Rs|UTAS9&tecfUN@YX;ITNQrkCLH!xm5IN3OiXc|Q|k71g}u`T1+ zwsBnNIIedb-#?BY02%udI6pEtN*ICz7lhF<;@CK8e8M%U0d#?&qLEY#ii$9>iB~kc9GIOlIyQA_|ea5r;$n$k~ zzp15W)8ZArVx6ziaTLoe$s9wdKHQm7%~Q6;JE8}3=wk-5q)$r`ddWQ zQDhYS1WeR%*eomBofz#wiuR;Ldy%3&2+_x|(ci$t9KppN#l{{(#~edNgX3{boEt9T z1R=?tlH$oo_hx5!b27bnS)Nnbp3_;LGg%%mnVvJ59{dbXZiXi--3t(cmlF(J!OQv8 z6>QkT!iSmeMN9P{C%ehlxtE(WZq%mUsZM^_m=@BW5!;m!*PQsYHu6?^=%vE2%df(( z6s0}sX|Eu&$oVpC`SJXrD9sQ9fb04iYYdlu`i#k^y& z?7~?0Z1xWh=P%B!|1cT%*Ox4F(gpfBqQB&AWz6H27mxbWf1J#Fgf5Q7)@D+=E2T`L zesyj4-CvyhKU;P_7&Z^qtlLWl$AZqbX5KV9_I~RMlXb^n*)mwRP4->*s5E7-sl^J?DG+|=5lNVldonO3Zhb=xNFfbl8thq-RuT(;QfOjgnIDpR4vOwABx zg%q)rp-|2)E~|~EwXL1?t(~<^7{ktiW&eZY-OrZY_eSULhQ+zGZq&@L$`$h<3gx^~ zwV+ZjsOuK}@5v#dkEmu6p5o=*Y8jcVgLBM;Kc+wTV zd~HgxG9_Q;%NO`EEl;ZAOO!J*wN$OqENT{4)vN1pKUSSVyAFpe=Hc#RaF}9lSr4a0 z7B{quy2HT=@NY}IYE-Wog>y>`ksQP3O)%J_hpu2T2HA`OHe-U#BCvUEHmty8yGl2? z908v%o|%zNO-XoM;h{0OTp^bynx2sg#7c=wEt07KCjcr$3YA!?k*c*4a3WKPByy=t zC0A&az!k7pm_{U5!MaU>gf|1%oQh;>i9$OoQt+oF;E@4ZU`I_?%We{hNg=ZVB%mk= z3@StglR{#W$SeYM1p~T*a9FpAYek`({;TyMu!;BN1OP@W0o_W&wV)@PI(q9%8Y)uK z^Pk+#zH~h6(ziJ`Jzw1q%KgDV^Oo1kYi=dc*Sagx2*^$fZjy>8(eOMno=w2fFgU{G z@X$zGLw{w#Kv~XUN!n0x!rbp~9N5$RVE>FpZXfR9lAIdGXO%&)G1%_v|G3J_ReSsdn56y{qP=2IBz z3sMBfE_}*DeO&V$J|)jVyn!WL@i|P%Gv5-33V&Dpe(Q=uW_)o)#Pw@ocYX+Y@bvl9 zsKn%)+``(5=7F-N?()X=vWDjJrsj&4=8D#)!ltIz4Ncj#&AIiRubcYvTZT(oM=IM! zYdXfNI!DU821~p9OS*cCI=YM6yGq)7N;`VXI{M1H1}eG-fh($dhO4@V;jwq5x__(| z&|+w^VFcMQifR}|H;kd0#?Wo!*e*be2|UmR%owhB3>@)&W4OLi5d6R>eh>~{5Jty| zV-utaST8|AA}MGT1<(S61_897yCy+cSQHzJgtUOVKr%p3C^{NNheeyH&qbRU8ptFT zggS|H1y4l~Xb1uwNn{{METpU1CXqBnBh4^q0v1!m=13S!0fjz8r1J0tE*8VVpxB>X z!I~KC>#5Ce&JAmb{=W9k*VPw(SAFGw0aw)A{igoG(Z(kynnS$m!=Njw!_U@)oUD5i zRC(V&_nKegIlrWv*GpgK^|T>Sm{~Ge%I2teJQW+bf-QhEm`o9m0Yo9;(8X+;5QK9` z3#Nq2l5p8l5FY!G7BV(V!ej{fJgG#a)~FYG?5T<2@w$r2*U5=V4{kg^c_QMBTf+BV z>DT>IulT*V;1hSwJMvs$=()2`&s{1^$(!s)tCa?!WQ8+3N12k-`7+j&lrtrnnvw~o z6w)b`Vp^@9(ag#N)U@b=cK5?4>!yIi!0cfL5!CHjF*1Qmp-g?Z+faHCCQzT=tfQTV`iOU=Uv3V z{BA7abWc=pZ`|3w*cdR5A; z%H(^EX-_&cBf4IOSBBroxpOxC_UZiSdo_6py)ES=3R1SHT6I`;PN&(qZ2?rUZtCG0 zOrVHOa9a(chpw=LfD_k*$oApb1voc3cU_IG4vh9aSH$jecYb2?oW>0kG9>9=I!@~ zJBuwF9UHENrN4EB8E^s|ZF>MSkQRqkA8>^TY-#~?0j}Uq;EMg9oV)K$TYGB`r`l+k zSy&)Tq*&oBMlg#K&f+8@vQoy>syVuaA}@$P`7QE(SD)2jckHg4ohv%a;;Lb8aYHk|rqV7e)k|{Kf=oFlm1`tYl>}Uc zXXVmqsf;gC@TF>=M9r0`*dkb#$(U8LgetaB%@MjvDTG?KXo)9VpHgnjs8**G%UtO^ zSE2=<4_q-TSIabN&7yi~RlT;M)*I9Y)11z@ujQIszJGG zn4Mds38hFTcZ|*&VYpnuqz^Lb15Ek^lZj_?m`uKl7I36uiZ2$-$|Yj8NTdQM02nji zC{WA@0UOj(z$eY3Og%4A!Oo%*wW~ka+`Lq!k;;`4sX``KE0h`)bcIGDR{?uW3#9-R zoM|C&g&0^%IVTV)r>1}F3OHCnrm$guPCyGF3Ic;dWKdk)I7wvYp(~Ii>KJeZp3sfO zwV^Sty3M~@57LH4wW20lVP7mn8wu4;$F^Y+&D{eHztHvaY+K5yrWe6=34wKqLA5V}LF!)wHzox&CkM17`M13A zX-V{MjQ6U8b0uCiv7Rt7@EpDw1L9pB;{{R~<#|Yp(l8(j_u>%u;!qEel2ES_xJCo^ zjwp}x05YkJI$9BRtO6d7S41B#k2+o+?N$-}>pVz#6kK>x2IEs2>0J`xT^!+41p7{S z7eZq|Y`E$${YpdqNkFFd^Xlp|YZ`Lu+FmvE8}Gz6B4z)=x+DiVZ1LlIrB zAi@Gp9EnFEPctb3HbcZ^OL#mPi!GutXGkA znqn^2-2PMLcYj}X`JbzA{-O4VBMmLUT%wozp961XxhAm>kb>c2UFaRnm|OR2UzL$2scVZ4nRJECk)jD~5{1WPPET+p!_$1|sa}*M4`PBFF76m9*@vESl9hV_mv(kE{#18l zP*2>M-WM18Q?CrB-Gq&}Gadj}p!05FUSA){z1p31r78VNZQ8Ypl$#aFcN^0lcBMb- zNPe9E=u*sgJ`ooJ3KApwT573Of=nyd@7Nu`d@%3s>a5OngMGv3)R{K*7T|{+vvb$v z+|k>B3Tz<26^GI=Se-fxFvccy1yF&@6&vR5HG^|SZ(DNhTJ^~l2HTp^zHV|H?$BYd z?ZCl`zwU+gpIiYx!PO1JwqY`w?T*cz{rz`8?;iYlXYVgtyZ>Rf?5(ewwaR&*`Jsm5 zy3DYatf$@C4+rw@4;6-uRJ=g6yyX!m7PT7t<~!T=d)w{@*qdT=A6&cFEL(a2r%hLr zPv8ps9*EVkZ*v}ifOC^=*J#}_xkgmLHwC`ddGPb*yI(dBe%jps=m1yqt=)BpbIxcI zEiJQ@O0q;k5D9@UaAF}@E@fy`?0HSM?o-|7$@d2g;EF}9U}ITk(Q9p%6+4`T(b=|F z&CW%mZQ0}i+S!0Z7SJ{}@G~?xG|PISW|1LPqGyEzTrNT+qNvsU)m7Ps0ep$UvJE$2 z-8|UXd9T}kuit)e*m`Gh?i*bDzpv_T3#&%;{F*|u1g^Z`u3Riti6ttDNFkY(N%;~P zSFGeowR{6DQqg~Q0t;0>yjYbUskHNgCgTL{mb<@(C3DV-w6-!@SVN$Oe6s!7a%>r2<8E3FZ z=!{_o(JWG#;$U#L-A37BB{##)Dg{6PaWJ?BIR4g*uVUAdneYG9BS^#UP&0 zgTuicKrrYg?BRM4bTby+ibc0!P;Dqg8)C8zgXkb3JDKQq++<7dNMluBZBB7zOlZl2 zQw4W?-rVuYyW^8})BWYuBgq&4SQ`EPP+c02+Rr0Tvd|dnD1k6Ejvnlq?5`bfEgG%P z87@d3&W|5{6FKraWGL^^V9wov?CX75S9&rocBh|jPd(S1bf!MxbZx@vnuOEU38(53 zPc^#T@vM89O+#Idvkdex!P%#MfjJ62e`^D0!l*tL5e{_`~fG5o(B{kCM2*V zB*5hgU<^PD7dfCk;F!jtD^l)Ui@kFz^v>NM?>vZ(N=VPm&#!4Is&6i7YA$VUDrs#j zX{|46t;=s|c-7pL+tl*9r6a$!x2SEftaYHWxxc2Vzr3ZVq_wM{t)rl|J-?+bzZtlq zy|}Hbw7sXSqqm}~zp`tf0#1wcyM`}@DqTYsHA9oY67{2~x=~c^D6(!8**J;Z9Rot3V~GqbiGd?AF(ej>1Q(p*$$T1RhD{Z+ z=^_qG%wda}OaYBPO{T(T;D@dt5_nYl42{9VOpJ`SR`wJnw!~klx$|}TxxcHp^gkSw2F9-l0~e=_HKaKibZl-su|GT#h!qwzQa z6}W;S<*=kImYBg3GMGXZQ^aAq2tgCNTp{Gpgj_%i`me6waAaJrg2M$M0sl8eQ+%mJ zs8Gu_6g;uHx+Xa)GWP!Ms4Hh8PrJvQbx*k9nS9wN@uE*GxUQY?iM@RO#hrUEpGLM6 z*HMx56|F@kUgC141PYf*hxaT~yxCc{TzojJ}V+XgLxB?bed~wB!-s*CN!?p7l+)>o%T6qC3*}rYD`CC`Gx@_&iC$-siHjByOv~BJ< zx8FIpKRUO6c5MCGVtZ#WZLY5B`3&lKS6$=VgqGJ4?YU38a(^5tk4Lq-Kx|7Qny(xblL_F$j3IuKpPBt(ymCI~=cot^kDCd}npS`4@SFY8M>&C-T?X&nGy zZh3tU9OqZG>Lsmm0bG3-6^o1V1+7@4oK?za?92SGmW=_LaSHE$ETs|-T zIkzZPX@v@vNU0X9)e?}G`Mp* zfsQBAaU?p1M4u#4M~UP?0;va&Z^vO;VOM|)J_vf7N z&ityu8`y*Sm7bh0V=WJ~hN)|BA(l)(0sfR-2j4GDgAvA%V2Fo&Y3 zkMjqCu84(ww5p=L$|F3>!aYjD++D6X;fjkEp&lT`VeX|7$IGL>g{}Zc7?&%ek5|OF z{ni!LaX!^?zEyF)m2rL*v3}(-eq}L!rBQw*k-o(dz9o@x;}5vUM`U10L|{pHU~zb0 zQCI*>Xh2~|K;iSiqL9M`0a_G?f&>6{6or8J6+QQb`Rt0U2iIQQyB>b$#=~2;!owqy zGP85at6$gD<~KGJwKf*CH59bgy=|?1+t&EHz2$XhXMR^#QCDAS=RkQ|Z)HD>*%lO8m#IWhEpNH6{D#7G4$u4 zpfQG#^~1=95me(Sx_J!as=GKW?8J3W;5sMq-IIhK1fdT}>_?IZk>nv1c^E|=K~aX0 zu;z!f+Y6a^l`#$#Qgo`3`36v=YY>Oh|(1mOU+^3I0pP^Ex$Q0lT4h{o{L`XzFoeBOgOcPKOlU;QK zWoc~y!9YI0FRs_z{krtr-<4hZpB2}CUwQZIntMm;9)4T@$gSpyPvx_qisz@Ro}I3F ze5U-tnVcJ^;x7az-??3xl|R~xB@u*liiickzy!JwF&F|mL%?K$XBV?SxdMhm6@pjA zrHMJN&jhYub7T+|Tp5=q1tgf}OT@FVd=-oTdFQ1RR5R`D%>&17TNf*45 zzxRnh?;U;CC-jt0{MF0pkDk4aOY5#`qobLND!oj!0AxaC@R_VBE_ZsGKRe44intO9 zS1JSdR#OV~tWqn|F36Xbm1|3C-J-^@s5Q-Nj9QgJt<)^_)xN1Ocu|!VT9$mjIQm*a$hm??0r_`N6x}*fdFM~{cmCLZ z|EvB-|33cwYgG6VY~)d5>~T`O8zJrlF75<2{scPS4HfS;5qn}J`ov&_`%na+g~w>L z$9RkfBK8C-#tj{N3%zKtoC&NI#}_gYxjTQ3dgq5 z=`?KGjc{cO-1Ez9-?utGTAjaGogb{u1C!M$oSj0BbheadG#4c_zY1;5eKK16k~B~` zO&n5-`8plAH1Zh(vRsvi7Ecl72RgL&I%-Z8=KnoQez z!{(aK2512XiwrjKn&DK7Z4z>_TTB#T_}0!OsK6)#Q8R|V=d*}|H3Wo=o%x?x(@n-@)%1(OB1 zVt&KCux}%(MwlRs zQ6>Y$V38PHxEPHw!-Xw0p)1596>x=2HYbs4MIx0*tQJYsVkyvqR-su?&o9e0^CE?M zMkb$?$pvz`P@xbhlwyTa@+m5@TnUUJkwIDr#4;d?Pm4zck{N*%t|gfkbEiZcK8TRT z70_AJ6grPcV&U<0EQW$Xk+EnB4nxJ^s8~D|OQfMlvx{e@Vo<$>%d_;FqjS$svV7J#Uh*WlTDLj4c$X^wSDEe1#crBW!~`2x_a!@4UdA` zes6Di<=r@zb^TAJ;lb_sk5Ii?xV{2HS2?M@9@kQWXviL|jUTUyL{x^N%AO)iA0mqG zP8Qsl%)d5~e`!4b;@I2oN8el+eto__@4N2oa~QYFZ%wpsZH#YitY01E1VBXqNL{RdO^jbP+^WOXqAJ|IB!Y4JeNZEQ<~Rfjfvr2bIRa%}I-+f{P=Aiz0&yBZ3OT0}H|e3qk`6LV^lGLP3Iy zLW7FJKp;E{L;VXw{R*Cg_!fM2#p@?mlOJ3OzkB8W%_||H&*IWj(~3*7sw!VK*50v9TvE1KJj zTRTeHI!oKS%iDW^C?G1@ddk{+D>?^&D{A`3>V_s8Mp2F9mhw`%Sl zDLMP!OE3LX`Hg=ASIH_!i*ITl9Ig7%tKvyu#naPOPtVpoIamJhT=tDKu@_FhxO1l} zr(nDvMf z-@rw+Y*`~;)hO1rij6tgOUAmoys2B?GZ+p`<_{+8#|`7b(#DQv*)GxO_>u)GS2Tga zb@p}C)D;&Or01nYW<=df{qe$!>pn@}AI-e@_3Mj&EWi54=DUCDe{^IbjTGlW zNrXMR35jmF#N+71W5|SWC*qEdL>-6wnuVPhjyN$I={_EHVlvtd8FL&J0}D7YF-LK+ z#|iOn;0r0qUer`ydU^moBaogIM9U7Q=bmD`I>UPN9sAW;PA+VO<#NSIejZ3LKQD-% z7YGDGOYtHmoFF9p#uaG+^vsjE)Zp>Npn=$+K9?(ck}eOXUK`E0HJNp1GV2y1>&9dz zV8)I9mp6OU?~LRKAOW4lskb@-Dy&<(usf4;+hpG~+qbOF9sB0K)d_Bs;lff^ z3oN*;*#F-Zuxr-m!HWNK2ISZJip_&BOG}K-9pl!Pac9%ubn2|m4Wk2GLygvVX8X^! zt)HEHKRfr|E7UR~ezdElu)R97r6|7TZRBL@TQ;goIYnBYlN&8o$HC9$?RPr+?mC?Q z*ac4wo)Ms8YwsrzyUP_umn&?W?;P9j;k=3S!0OmPbcMmPeVBEVb5U zs*_`y9J_|?1M}W{>-(SV zAAhzSyf^Od>$i4vjxG2jH3LRk!KHtB*|4~{F+abmRV^yTDk)DaVa+Po0u4tv#}Uqh zu!TSut22rX@tj_{tY6qLteJH1H)~xnTbE4M1-*H0!!+-5#ma_d6=dDKx@KNo2j?~* z)%kU+Y*{xww?vaEP*XGgGLZwio6p58037~>TuAW!UElN}xfn32Ci>D+KkZFk&00YoMqErE02xW4iR4$e& zq;i!^t`vgf=nGGlY2>|P7J_(_7mws!b1%H*UvSI&_08kCH@+?j^KZ_*G1L?}(UOE|$|N?t z!PKTtR>q8!J{d22h^n}ctNZ~|eiK!46;XH*QS?2s=mN6%{AAJjiNf<^1?Pv~e%Jr% zyY8HGompqwGETR=Jk^qRvNaW;BB(Vrpe@y}HN~ef(YG$vw>k>Y!ml>Qzb+PtBG8o} za9$JRUj-L>c$Y3r!;Tk(9WM+&RuXZv9CG5wCsafptALADp)0DQ zJ-)c2Hr~HBKA<)}ur@xZCO)`2KDa6_xH2xdA~v`@Cb%pn7@(p!<|If_^vS}glLe8% z`4K^H!vo)j1?7hZ<%fV{aDgj@VZnvrAVGyt9Rc}a{`nz(`Okgdes)F1!}IY!eE(MXewmMXvMGwl08*G8ZZ;T!R&dCso~pHN9|2NW(CqX$;Dt zX#&$Yap($E^)RAp2mxGCI|7F?fI6Bduq~6gR^SRGz5_+*L=n5u#2z%M7ftHJko(ZC zpkR8Dq+TR(06`j_AdinzCMIZ;lXN74fkH9Su(-lC6@qmI$HL>FD-LP#*%ch%3P=lA zh!if4%EM4$&k6=*7F@xZq!}uaM+Tn{!y@2WI1Ce3gd&(E;uM1=VsnK6)9C)@k?O4W zl)KeG94k5ZyYkEbyYkjoH9ve?d+$j7y>IIu9ItugUHLS);`!N%r{^l4d{_M7+{^2y zBfblYyLGEPD}SsHOCyUoG|4nmI?a-D86uz>I#mE&!F0`cFkAx^G!bwGhb(})po_W8 z!$}hfgDqim0V?DIfpUf~<}-P061A_fDJv%W*2%#8fnE`3yi+guq+Rq$x#XL4$v5V_ zZ^&8Shrxb{_wE;`Wc5^aqWZBc;;dY>Dwxp%pTJ#**s~n=ESEDo&6NoGO3C!RbaqZE z(n=*-xolo3UsNlWHHu~JVdTqN+47upWkIpNq|&WuOl$L&^+ntIvSVe@wlHT=tBo@G zxrVxYu{atM>Ej1PO#jmRJlFQR0%2OU!B;KuxzgidfeN)WY*684l zDF5yV@7^%?{;*>MAxDNnz8((wdNkxuV=!NjKmTST^avvSTXf_xO!RSFtQ#R7G5|^- z0XW2i@WK;dfRyAzPVuFr`cu>VsW1I0>HhT00A@}Q`_)Ny?nzG0NlsQUH#?Y{69k)D z*iQC$nCM5yQ4YxhB6-vq(5v+y!ZC;_tBUA!>*hv%1jy==;2IFDdy+b?GDTS zd-LY5(d;xB96F*k(oH}f4hdSKrMq5v0GaDxvn z%^Su;S8RQ9h2HKGg=N(MEw>ZV@L1Y);YJ};D8m} znC}`a2S)2hll>R#<}bG0Uu=6H7S~n!x(ckXZReAwKED?K4CHuTer3uL7nuawrWEFS({4Ss*X zp4ZGSEh^X7mJG&qtKHz-vA|iC1EX_KZ-YZ3W}q79fqfI?9YBR`3wHj5y}34b7i>paZ@St>_N&kQh_{S4T-VuZ~aW3$HDtVtFN%i_{lQ(TsS#}aT|nc|9P zr{#ba!db=4v}}qmnVynN&q!xxr9v^Fg<7VX6UkLG5*c44az#8P63)dMB~wD#j94)(Qn05)6xI}x${~=Lcsw1C zrNQ86I6MtYpkqihq-(rlghUx2k$Q-P4menWZ6RWtiQtH9BjP#;E?3~Nofr&AI~LoH z$G0HRjo{w4b)c-E@J;OF^xIyUSC8jj^?Y;9@AXx$oU6w(ul}jvxleuO<-WS7qYY8W z`b2zf8n!wCSrI-_`WR9A5LJ2)TXq*+atm2}eX{ThqUbWR_zJ4z3ZnS(c;Thd{EI`c zFZSns-;@1)SJs7&jPvd3-?hI4IoFYPwj=FKN7||Ow3E$AK@H$49}`d)3oH@bkZ`gw z;bc?dDUim5;QIKWy10OvSbw-BJ4v?olA2S{0rdnritiSlT;iUc;~gnhr^ zzGf8>a3M)Wq-RB>*RS;z(f*au0hQ5#mC->J(Lv?W!DUgwrLL4j!U2lH$e{elptq5M zFcE=o!UJE21-uINe-#q&8svGvn~=b_Aix-5K?NY;a5N)79J=CdsNdV)xFYF?laaU2 zKE8F~&W+1Yo;{CBdYSa5Jg1_msJXYQcf7b`;7xOPc71zRV@GClcSdVZPJ8d`&c6Ka zzGC2t_KwQ7*7CNFQdp(gQ_|jj7;ye+n4$xu@6Z(x6`cdsJ;QbVV-16oO(V#bF?7oW z7RaG#65BA2`Q(aWM9l~ioY%Qr0Y21>z_lRp?I?T)n$U?Rc4LS=7*a0?mfVXW_o9Cj z6nOwe9!65f5!4AJZ30Q3giAk|NDLDN%QaoWGO<`Dpal-k`i(0%hanT$har%;cq$J^ zn*y$&k!M)M85)j9#4vHL)vQ=74U1u*QLyh8YJx!|@ab@=h=`2Ep!-`!YO>o??^WG% zFaGYIDz5%p&7E)R?;me?aIEqE(S`?Zb&q|jpPi}<`L6uw`LZV$^6!6_eC^cpGXYW8 zua{)L8SO>W$s#^OCgCc?9K|$K!lDT26akYa1gPM!BwUsht}O+$pa@x{SvFY!T)}6` zxGWiqDWNe%EUt8BMj?@CW_cneiAEToY$+{G4S9Oq&-(|z6X9n(Q!o0YUiMA7>i6QB zf8_W6kI(tv4)TBTl*dCR=qZ-TAoub&B+$D;yJBQGbhx}3+EO@^9$moMalA_Y;{4p zHYZ(IOV*U4Rq5=CczQ`Rvml(EpPg27;d0tp5}A#`5+)`m2Znk&yXu-7i)t%gR^~^Q zX8c&3c&#|nn|hZIfZwWZpB{_Vu~{MHqpCPBXR!Eo&9?YkTH zomFsg1Xp(Jfyw&b1W;l7#bp1pdGi;`_Aln$pL90o%EtQqf_gzMS(ME#N%$LTsd;(c zrq`Ka@A2(*+X37g-MX!V6FRW8<8Ui>$My&3&WFQ7%}-UDuChsstANurC-U9_H)?+m z-ea)r>MYwU)~yArbHU*n3}uxGe)-(uUd+IFqBJ-ZFiVjqaYzWc$v^WLzv zzrMM*=G<9zY_Hh1G&-|*agDFkvSli|Q~`j&maAv9OR}X6&AMsHXkW8#t%I1iASWza z8@BCrJIKzOV;elevdy_7FKHHRVst$_c zRAb`l<`-vLlFov6g0v)^Zb~}cm>ArU7*v-SP?zBEieGJ_uPZ*aiQd(TUR8;nl?k5J zabDHYKGjh$Rgu1x5k9bOCTy1F1M=T~`RVZAe_1%}e^n9|2vQs#Jon9c=9lYA-t$9a1ilFkd>aNtahQO&E?2w>@qP2z6|uMd zLvNn?@y2(zuU~%rQT4HWlPFYK7^H6;sro3akplL9twmYl7JH4UjWm9ivOK)y_ z-I}zB~3H% zQ)Dz7i=ZOMiKs~u3NCJ?qQILIG~@(>fdAqOEP9}Iq&Bxb?LpN&&*Jm{tK#Y(>+T+H zeCXcvz^(cIF>tJZ>|663xZ-@-vkS#fzJGQ9Lc*2PPfiDfU%OtE{%WKL#UKf1m@*|_ z4I*I4IaDzd5Q2WV;zP<~%cj^eK10Hx3W0V2Ex0t`3OSc4V=}~4x`4%z%(~iE%<=>j z6mGn;t2#F)@xc$*yxi{k91A<`o_g6Q^_pMu^?<~iLE)DJAD#=m9vqMy7S&qS$|4Fl zG&z^0;c^$*94(8ZV6Y_&rie}#(rE%dM=hFJQ%Wofg;}97Di#c?1%qbZpquAtHD9ZqT2N0fsiv1z(<|!PjRm=7b#8lY zd4G9%cYb+WwdfGf8K=~%G>H<$|M?)QEql$9%&~IL=Cjr4;m3A4;kpIn|Gt z;*U@ECx9gR6JPid6MaaDUcd>oWDnL$PhOT6H_L~e>CegtWMu}hv-~(YKHOX%UY_sN zYd?0D4=weRE66WADM{Yc6kq6y^Z>%kAXIAbSn{c%7iaqtE_BCV8cMo4k$N4KadRT` z)^OIXq1@YuH}?rekBJ43`x38LK0KXs#Xsr#xrkfW5+WnJ`uoHyOP0U;2~L{w6Gd z)S35|jeD!+-3`mm;W`voQ_x*-L5GtL+wWb~6nkH$JX`}8aOl9X^&Wg{o4Y?dcYd-u z-y5xaItvia&XQwi$-cF0cCHv~I)lSz+1atb+u!=QzxUJryI(9j2U@d*zp_l$s%jQL zyJCNjp;XMy&#P9~Rt;vI%N3>_I3fX_9nN|HR9JRx=53pO5BC4u|7hHO2T-wW-&%KU z>s=CCH#@;4TfVS1rJAQonxt=PLZ#omKlb zco4Yhs>!O=n=~7SC8K4-;)JNMZCh>N8Fy{l@9g_O+u!}!w)YbpByqUUN_Gytk4u{tXMKJGc&;D4stldT+SGmGr{E`I2(DSg~fK`2)#sFKZVncr?*XD z8u~{ntIG;shUYy#nSIMU>xxh2cRuOgxu>50Hu=I=xsN=`)6TY4-R-M>I9B->Q~nH7 z_5@S*2vhnHU3?!^co&&}douslME=e3{2P-+w~(cG(B(fMO74sm+#G&=eK7BOf6leu ztZTiQ*LpI(WH@ap&yQTi@TiarMc=M`7Wyv5DE)dF5r5 zZ7prX4b219jlJddT_ue@h0T3$Tl?R(!Q{916}EL3w|11av=z6s7qxU2wsse_^^|n< zmH|$54ZvPlJ;T*KLseaazovVzrf0aeZ=`NutbTB!VR*7(7|}3-s2@ev!zCf8T36~u z(Et_ouDXlH3FwMeB<}Ng1)&Q==tdJihvXW&_=Jjn9Blwc8^Y2?u=EiOeH05bhJhK! zFvc;E856DzK@eC53dh9YnOFh~M__~CKL>}0i(z0BKxW9I* zzk96VE;u<_ec!A6QBcVfaQA(o=;`JEkFocTYCFpleE;0@{&?rT-8VZu-96ns9j3dg zy2=S`z(j*{IlIagoDC-0WE`-`Ip>@+N+1CO<(zZQ0YxMsqN}>6XWt+1UI|yvzTLBD z&-t8teiE|$17qFKz4sg5-n)=hz`9%OeYGdcrF>oBCoJ1cpi-)q7a0@D>gQGVC~Q4%H>imlgvO(&h*#U zmuF`_zkc=F$v@wT`1DcS7ugq1WM7KNym}`6TFj#>v0tB$yOxw#knwV`Yn)D2&?zdg zfF_YtWU_)nky5E5Dn&>m3F#yeho%xS&2p|&A+)O`7LCHBl^>y#8T3-UPNLO_)M|lJ z$x|q~as@}OU;)Qa$XN;*ODSWiWh{-1rIoUDQlJ)WgHm8pORXA(O|7sim3Fz(CYGB8 zQUgb*rgB6ZG!|}yfLcP&%}q{?_Kx*54mH0Ys4nO&P46nY-}&-xXXf>ew2NJj<=)FIT-TVF6H@}d~!cXN+_KmYWPi_bnmJ^ySu^Vn+6N&L%5Lhc!I zUNkB9G$A))Aw@@CK`xG@ygC(e{pgn z_tZvy#Cky_F8>TFFM9sv*{Pg_(Tt>_^z#$h7w2AHSuFT+uJGzq@zu#!UoO16yl}+`CRUu#0`K@6h8r@N6Bpz57njuH6{~USWn_;WJo$2HO_! ziqKAlCsY9g761=P#f~em=h@!(1P{Ve@xS&8yLZp#-M4rT?cNVg?+JOaLhEnqUP zpkvd&3A0CoR{yTWw*#!e1Z!Mu!yq#!Z94t~WYh*;TtwYH~1?I-o;HE^m&-nxxYwY1C;d zb(TgAdj*n0S)tIwUcsaY=p;Uk$OCpkBk}2EKGX~tM$Vy-xl{_5M&mJ=0uD#S<4HKs z4FpUMF9a8iEFPaD5ORc~uv&z-ELh-q2tR~?%@qQ#fLg*49vy{ngiOAe3BFgZki_B> z8C)U_te9Y_PXd7%uJ(z;lb6Sgk=7jd6u$Ny_);=g2^`^Bs8 zPBg#1Hr|^x-IY1hlsZ@Sc&_rhxyrBRDsRq~Uz>SrI#k&T!c0Ji!Y26Ul=YrKU{czxah)25x9mAhl)~$ijw>Dp+9uLi0^rs z(3_jsmzME^-rlbHVd*-OwvyI&z}gUz};rISor}WkZUJ>4}D0>|F{!zsH|KJrlcjMA-B|W%) z{_8IuF( zjZQa>O*fCtG*8SlPtLVW&bLe>T4&L1Awt2N7(mAyrfUJyvl#LUHh@)7G zkXJydSl*a`tWPX$0476BVb-V6P&1~{>oXx{(d*DLU>j2cav9hKDGX+r3@?ChV2G$? zG73vUuF#gSw3Q|58k&Mb5`kBs7FIDx{1RpZizVQe$t%mWRV6pv?3SHk1?>Km7jL<@2{9KL7gkpC82? z%Q$}`{ZeGw)u?CJV;@{gymvL_*5%73`LD-D5L~XA#WGT<8UjHSO|qgr^X( zL_8{sNgxrImzHKHXGXe*J8Qcd-ZqxKtSfj>|NLshcV`;zeo=qxle!zfZ@m8N<{Q6k zyY;iK+dmul>KCKm{A%{W?=Y#KtY;l3LmbTnLN;a4PH- zl#)p5>r=G1C+Vdp8KtKf?@m!)oh0O+Sj&M@vGL+0;pHg;^ompXf(YOh=)CB~+}P=y zgt3gI!L*d|tc$ZRuFU6Ooh`gFS#)Kx7-;aG7`}^E%sOm3gmyS?e#-3(=q!st!d_dIBG z1RYMWoIea~|HT&ov;2YG5wvawEcWfNR~W5ZdW+X!^_c8lv%~w}Nrewc#ja<2&l}wL z?i_@r;(zTGumy?#2S?zqPTybL-XA=kAKacJy8xzP^z3QeI|eV9h4(l8hwiO|Ezf?y zwePj>IIY{8=77x(>}b!jbzt`$IDPwWFq`{!U0z@g!LV2Of**XlKlu0l0`LY8U7>Fl z22^@tpk9=yKi&tm^VY+(>DDEXTanJZyU-JaRoOW+nZM3rVY&0flUvXpo3;# zP!|YFUGA|>$5Gto{ys%2<7;)=O{X)k1AYST0Jxcba07n-VK8v$+uCyhqp-s&;zp-W z=k^)gejpWA&$bOnox{Ir-*UJDFy3|hK@$ER>ezOs{w?-zAN>~CRl`SN*L{zSb&X;neYN^JcvzRSTvkew6H9CAc zyGLyec?C=WaT*LzDh&FtSGa*!NQ|3Qxn_wkSYUI2S4=S&Qw;hHjRw48A>ps(?iiFv(CY7-T^RA%G5KgCbzi1WbmI#T0VbA|6-F=Sg@xF_$aia0Maw93CI; zO9(|=kr=22v2yi$-)H7FrSWfM(=ED{`>|h3G+} zdeP`UGA8O>c^J`N@!i5?^}^8mnU?(V_o?IWz8`;oXZ-!u@zP6UZ!V0!N*R5fJn|+5Fj01C zw))G(`Ws-JD!(*QdVc(E%Gj&q(UNl`#gO5mb0bBei{f)b#Yuz3iGxLngN2C$g^B(7 zkb!()6iEXG=lTKpKrljHksIIr^2jUNa!$8qMK)(fG-sY{&N$JWal9$xSX0IqO&Q0V zVL)bdYsT4@=P}J`(M@U54bP(Mo<`L^IaBjE>L;(LxE~dkigzJOADnsnAgc5s906}0 zoPPb$E5d5=D&!R*pizW*^U*8bKRg3dMIfikA4iq}uXuRs{ezG7E51(5xRdHyH?7^TTYKI?uNbWjRj6nlpKG0%Zykr7$XZ|l9%j7~L-Pd81>wM;Fx&7eDGmpW!KAE@hi-YH7=PfqO;@- zwq$(;hnni2Y<<(6d#m==C-39_@2cdV*IoWy)0cm0y84IaE5B{L^1JG5pS{0vvh>c` zvTu_sAAMQ&_;&IA+u8T-;I{688A_|!hG?uFRLs`FHgPx?z^P7Uq!#ZdHl__ zKb3y@o3g7vtNHRDn{WKA^VZKt?)_%r(H~dSzaYPeU=&32Ud3}tVwpwJ)PhLp6$K|r zg)qtjcm=um4E0qc?QI0(-N`V__wYc3Sa@Rn3yoiujoWkXw#^gsM z@?vLzSEMHmrlyQ#UYvSyWiJ2fOu^-;!i!TSmljH|V=BK|cz37lo9Md{ze@S@ud^RN z=t7ll}D|2Yb;K^!vnm+89Zg$h6&}Cc8`#|14oii5 zd(U$u75`ga;q)K6w*TVU`FBs?-#lBe`kcKxdOmtZVDB%%!+#5Y_?vI{ zM|a>L)Jbh`)AM)i?%hyDj_@W7m_P$&ScH5JD2LOtXWI;z%pRlJZL)=`etEX-+xw1# zA57c3^IqS_I^G8inL?y98k`>Q?tyRj!`AkJ*SEjrI|u|0gWErB!GzguGg$T8J=%|P zp=OsKhzisd`FWn_+vG=X9=_^h;XhqFg*J;?4*-Gd%VjmxU7Wuwo%z zDp{9G2~sIZCS$5K0;5S`+cda+j=-LG=Yt#kRDoAmJWjL6ZFIW~E{nmbH9A!$m);KZ zN8o0Tf6o^@@cMUcc9<kW1uZu24W@^T8}j;|dvk30JC=X>>ZX(c*xWNt{5p{JKrA z>L;%-I$&f4KyNpE^a`=TPLipRZ0;PBHN#>~v6$0L#ti+)D-aY48hQnTOyRI80ybI5 zA`6*hQ5Y6Q%%X}}G%=elW;4YcmYBm9b2(xjR|33(&l7({#ODKqe4&URirWl_ZUVJn z!5lRXmCmHnSri(JN@p|KKtIHM0rUzglS`tp$qX)q#iMcrRIU)H1(heFaYS^ch)x$! zC|uZ}1V&syuRyHeXRs?{OG|@jR1Xr-zBu2qIM=*5*R(j-f|zedE_R`iJt$-!3fYfD z_M?&gONf3Pcygg}YQAD{_H}hze&&nJ>(`#AoJ~zQ_B7_VPh$W1Nzy+(KK~D|Q_uD^ zWZ^JFn5oX0_Oju3*+Zp|hTq*Cet&tW^uplll);j7gRjmFyiOi?lRWzV;#Aeu`TFZK z)mJCWFOHQakG(lJ`Z{T}ByqGjailn5xF~)Yj3I`K;|Gi528v?`i{poi6NieDhKkM& z7M>d{I5z-E>Muy@%TMghO9**IY**MTvQM{UMmA-fYDz!R`22X|^J9(Azi52^c~koF zmW;^O%$T;!xYmr=mh`ht&tn?WV(L?4U|8nU=)Zf#Lzvb9eBj-qGo_EtybbZ@@0@=9 zC=$k0JUj(>1I7mtN8Aq)j;{!XSiF09y6n-Ja6U-I+SCj8wO!_V*G5gllcMra9&V1bVBDJ$1qvusl*Sn&Qs&{Sm)lH3!buDc* zZQV8PJvAM@HJyD`@DOCUyl=E>V7z8{s%~_qeq_2~WTs(wx^8f?wtu{)Z>+X&tge5& z{-|Tf1gyY0G6?}vF*e;8_KL~H_GwhdG^S%3-2pCUP@S`=E*OJ>?p*+00bODUf`ub^ zxVSX9xIDCo9Y(;+(^1sg7zRIrSsO&J_Mvfo=#_r->HvCm5WO~hbWpN3ie4K-uZ;t{ zz~HAa>oc%{DPdumh`^GNSTY(%L50DRkyr|lip7vu;4qXm6a|MOE+aQ!zf=@{3C1LE z;Fig&SjPGaheQ(6nX<4~pr;3>+TZr%->JL(+57naQgi;FfmF2J{Jj0fr)_Y{;*YgA zz9_#HS#~d>_Q|!DobOulp4Q|%E6qrKo1Ifp@~*z3wWFbbxMg^*a~#t@hZ|d7pCxV} z>FZb)euGOO!O%@QNyH+HIb;csEa8$QERq<;ZHC&7kzl(qA&(`I3gjz`n6~oDth;xf zTu6SDboOD)sb}#KS;?pKE=T8Fj(&bQ=JBPo&u(2#|Nh(Tw2Y?u4kUsok+``$3zee6 zuL{Wo0fQ>wF$E&FSjv?tcnT#?qv9IXT#KG>HVaL5p~)&VT7*WE&|nbiwL+ans8flw za*;+R(nuj{iBKaJs>OmZ8c7H#UketEa-K%US4eqa0V$RXq_BpLP^A)TG(s5UX^>b= zGKWR!wyC|FTAy9#vueF2jZ3SrN<>;o;r#O{Vsj`5Z@|92x9JO2DR*zXz&mgHT{fT1x@EL@^;WM5=KgGl>vg!`X^7u! z+0ZVuhW_gMw`Ln&{5~lF6pcC^irYj|C`%M7p27q(IGZA5Q$%cv_y{UM z0=$A9@(LDR#De+kaLa^5UeF`OFkyI#_@IOjL7>+>5=JHu=E|bk; zuy{Z!*jynm>=mKP-cTx-JPNQUHlN7kZZO#EG&X_CCX&G?Er&pW-A-5W6znPy7RAD? zO)uldFdw}FG2aS}Vy+o6*Mbat1p;_QFA~v*K=dLPdysQo$mzDl*~Zz0+DT+}=TK#7 zW%=`r((k`2zMYbH`Bd)JFLH1G`Q_K2))d|t?=K^gF!-fu)NtE$!&}&2tmf%h_19yS zx5vtEjJ^AEr1a|0+sgxQE{(jqGG6}WboKR#@++gI7lvP*8!kCFT%0sglsHn9FkBcv zR2Vl@7&{oEzwm5dVN7pfOn=dlS_~E?4iqNz=O^@q=*^FZOH(z@r6pS%JVrbvycOp69oq(zsf#gqY_ ze*|2oM!$a+RTiQgj?raL0WoDyqTfG`djAMg28k|z1dJl8>Pd9vuM_Mni}g{+ZsE&n|cQt2S)2hrs~FK8^-4V_2YAOBhxiQlhyrW<=w;Y zI|tu)4wQEdR`tM+Au#k}c(QSH3Ni+FDjLUO&obZ@trH9FlgN%qR0w3p6tZ&$**%Nu znMe06EDeObVi<`XL1Kr&1(1pb3}k)@5UQ7j8%3@RB5^&4<@QBPJ7TE|x!jG!_M%pR zV?e>ctPNvekS7ofU?Ag|^{J(e*=52!7S`)V;9wyv^ePR#Mgt>ig@(XU|LzrN3Jy(L zMiD~Y&G2Z{8XCQ}j3MHdX=^w(ktm=urF7sGt1Fn9!RgL-y#-&@-TAyM;UDTQ{!819 zKX-q1vitV2uA85B-1xNN)``kHQI+4Pv}Arg@H%~{yrBDiQPZ1}nv&OLg>PTyy?>Qk zR+js|_T{^lqN<+q&XK0^=|055)GB6~vWjOBH@GySkVBOU845XDBV}p$bR~--qr;A4 zLK4gw;j^fG9z(D=K2w!n^j%8wy|d8|aB3NOXJ{W78ON?g{3vyYOaGjCrj zN=>UMDIM${TUlaAB`zMG?nr2GhSek3_B z@}pOr#21{v6+|o*L?QD3?iItC7e{liP80&KxHMOgyikxdUwmoq^^K9@+vTZOpWI3Q z?wgwpt4LtO)LXGyt(c zPQQx(U9W&gFz^%xMs)am2iyLGfPc^L3wnJ4r$1ox`%Qs>Ik02#?^}I`HqVDm#|MY) zaMQYPx9r%hLA!GY9_0l0oZGu@uv+);ZNW4UhzCC0_xNClg@5-4-`yI;LQarLH-J=# zL~8=U8lO*)NXQBW1E_`Bs&IM?zHN(tcXNB+1%BoMSbfVCs?TYICs_fjV;h#(a)tV@ z0Y}<&8%$QUTBndJWfGZ0AeM=w8l~2(x7o}Nv&CVuI`kHY+OjD(+odME3}CP+jCQRF z*1|HIoED4QYH?eDWZHd3M*w)mhDbI;rHzv*qg2W$ojOLNPEg5HB;qU?dIgqBTc@%p z6dsTY4pq#hO1M-hhX#;<5lThaD`+AHO-QHm7*sxk%45>_Y^H$65efNHU=&h`9Egxu zDicVgVXuI@79xO{ClvESahu_Y&G2RgPat8#_NII&6)YZ=%_p;X>og{oL|xh-oh#99YkGOAuZ#GXxs(@i=V@;PJQ%>UKFAo2@gS9;5o>AD{8(S74`~54`Q)*aj|=G zzGHr>b#}CQeyV9C2Dq$&c#JKhs%o2B^hAaokWz{6JBB zUqM`NUR+OJEF>R{;9*!T;(%Ioy^L+oj&995-2%@+LTZt5syPGZhO}l!v}B)d&N|bS z6%_(rG-gFNW<}L!MFW2Fin^?`b=k3X*=K9B&(>te*5t%i=fqXNh(97bz9uuiIwP(o zBOXu-$Ap@6NcHph>eSe(r+~9nPaxHhn3|_C)sLgAA4gR`K2!bpboHZ%s)tAYL9(u$ z%)TC(b0a$EW^C&D7NB7CTthLKsx5pP4md+c~t91yXZlMw=Y%(!^tBUxOXwO zgr8X6n8p(3aKwcbGGdjA3KgtCuhTK>4AdI%3d#aJ86huYD67yb$jh+3$OamPN1|2{ zs8uw2V|j_PienN8d@4gqXNjR#%nnU=zV9vgy8h0wio}0xxcs}$+h6qGi|o65qWAXa zUAI1Oz7tXN_1W5o7rS!5pQv~_+gLhU_r9;Xy!qX`(%hn)XF1Qmf1Y{oY0jMo1>dBW zrWV%ZRkr~x>zJ6H!XOdrI1Gt^rPJ4We5zE=(aP9b0prLkXk-zEETj;5R04~(PMhc% zc$JoZ<4okOQ^y{ijeKz~rubs~yQ@i6H&b3;P0UU?`yl?zi@Ucfa`L)s+vZ0Rq&1#Q z?BubHG@=ZTWl=U*Y$^-3S{LwC5|K_J)yfoFsahk}=_F>obkivF=%p^5#G#Scm12ub zWE2Z^0=}BZQ*byk4o4b7!sSYNJQ=VH;2XdzWZ<2|I+a+jmKZc*qecW#i;OCfK`AsS zgnETQC+BNrJdK2_{s}2h1D;e0^x(w?sl}qO+f`1d*5fw#HZ4Je<502nZvy85)95D2 z^{X5Kia?k_FARRub=rsK&p0=ZhK(u%Ztk=`iQ8znlURBu)o zY-*!JXZ9FvV6NG**n$SrmPYGTYn>XsTW9p@OeHT%ayke`ZT!Pcn3P*tvg(;M{p_I9@qwgbCZpw)d@m;1!2<2at-xP20Z1whMD+-8&Bdj$;R`^mjdh-LO}{V&K68ZvaTe9<1FR zH~>cB-TB}Fw-NFRrw@z=z$lzyqYhbKv!T@NWO;-u}_yKeYPx z%-&s-CuoFaGxxl^Kkoea--3sKBkv!5t|tHZS9LfMV=Dl>!W%r;_U-Mtb^>nL9^K*( znzn<+;EsN0$GW@c-aQQL{jeR_-}VHz?Y?c-c3^8a0K98^&k_h~1Ae~MN>nM)JnoW! zhZXWyM8XZZl%iHK^jexmMODbjQYk?s!t?p7Jl>j6xGoVB<#MJ@FSObeZm+=~wC^5z z4u16P{Q!;5zYi09T)UeNAQ(Hq#B9!OtHW>J^ct;Bozbe+=#@&1LavfY6)J_sWUx9n zy)M`c4%mWQXLTsec8S3v(woJ4i_~BRzbzW$rqSdyn_X6`$7b_dVZS-Q(HRiwZFr${ zibNS95=Y47VH&iHaWZL=NSGs$P!uYTM&F>ZX;gk#DtI(0pDyFkWn4N`3w8(=Rm`Nq zKnog~Mq)G3*uHNJI}3(ThNIFU+;iPBcvoHP248A&?zQ`2I!g#KhcU-|%!} zL;u_S=Ir}TFTQCm`lhAy+p*qvE30!tm4d_LkXDy*6T|4C)`i}R>CS@LwigR6nTV#e z+1f|r72gh)-We*rHBx$WwDkJ$tIGpL=lk+t$i!fN!calNP=5SiUhH7r+5Wtk-n^)u zyfa;Sr#tc@+w&s33ZnXo&H}aQD~#hlxo@)Q3~USj>rq=uYxjUk$Hk{bcpfRu*JbM@&-b!iE;sqwYX;%c4(Vr!nB zg*=I=eG*;!B&z1|nHs1TkstF+Bhqi2&bS$saWm%Wr4#oP{&?@quO3AIGWG1wvts`# zKj{~*F8u1a=UMS@#-pA2t`JwY_@LTK=Z3zNW3Mt+k`G zt-GhScc8g%sIh;veqf?zaI$i6s(f&!VraHvc&>7IzG`^3dU&R0XsTv-s&;s?et4pB zWU_g5vTc02Yhu2464^h6>YGCLP9b`y5q&erzByF?JZf+eJ%qpvBbG)GOQT3IVulvc z0}Jp=ee-A_9zFAzo=^p?&UsARJi2)f)jEf6U%+(2+80Z`Fy=E9=LxqvaARoPI0pPS zu1#atXK@?ztHi}M5&};_;;8^c2w)m>%fuPX#{3dtafyUlCL@miAP{a$PDqy$|_=dWTK<8FaO)-+sEq?{;~P;Z#r*(()0BfJ-7ed zef`tUYoE2KQB+qYsi1w`M$Qlx^<+XYod8zu4@7_jKt64HxT4?G!4JRBChd)T5wq^ z23bhJl9p#tz18)F-+zDW)bV>KK6@T>vLrdW^m1I;^@NH$=Zd~ec%Bk-FE;YU*I(5Z zy&3Nu#Z0eK)&yd%jZfDz33AE`k44}MXnYxmuM~>3Qkg-i&?%H^xk@Qht7UqP+^kdB zG%|}?YF0^%GLarQgOIP{^AtReoXe5%I5Iv*4iIn^Lasu@Q%d+MDPJSwYZL-t2wD}~ z`p|0y2CcxT;Tu#uy^^m}@%1VJxX>#?Y9WJ0p_cH};19}$TBQgGi2(|U)Tou43`(m> zZP)7@DuYX6_6m$nuG+$sY3V{4l_MZCm}_`E8ZkdRIxyMSKGsn;-1vT=>SH=d?wyXT zs~u_QdeRaH(-X!rkl3YuaYe@<%RiR}mv>c_D zr_%G)dV$s;)Bubktx2r2NcA?kep6v|D$Q<%(IwSwiquw-$|BO(#9F&Vw<*;-6uSTWnP z8-5M=l08&s434gAh|Lfl@p->YbIqn^J4}SmtcIX_$?cW3U zZ`XSREQTIfwSox!5jn>AXKPH!<;9Ka|xoj$9> zYl2?kR9hShlU;7K0Tf1?>S(_Lmf18}JZ6j6Wb^86TN?WoPitP`izkSr5h7uXLLO(( zCh62EDrJUDS|n4JsPt7ji%8?rX#(ICJeq`04||1_OOtTmQAjAnf+}KALs_UtUcn93 z&f>u>3$~cgl?eG#p+E+AAp}BLds7GyvO<7o;AsdC!s3Ea#NkN*Otz55;8SQ^2%Sf! zao35=6+Cr$g@jvyWrfyopJg8OP#=mtmf14+hnRMs%PS z+mH)@j*wUMVvzmI=ppRV&=RsAIomrw-oG$CghG!ltxsX_3n(0B5wkEkJ<;FW*VZu5 zQ8(IGH#J<3L5-2=1d&D!T!>C(5SG_g7G}{Cy>o-Lh{39*p{mv4N_5w&xyGFFiYMdm zzZ-vhXX5p>@mH6|ijzkR;{hXual?giLj`gD`Eh-~5c1=?^JBa6V>|Pr+w;z}<(_WO zjq1pa?#u-uaTWr<6x$J^Gd~W{RS@5mAK#rH-<22FksH&N6V;l1rZxLCpe-931l%3L)18D|h_W7o)l*Wv64e3es&l7=K)I5u;ehT=wgYooi^|P~8fTuB) zPh-Mf@$AOwXE)EJ-ik`S8TIJO$@}L&`!@df_v3%_DE1dm&;Bec;h*x8fByQyFJE8$ z<(rGYczfxWWmo@DdGqs{I}!C?$25MI*z)jFYx=#m{Pgy>#qAaEI_j!Ao0~eix;q9& z+DB$uCJ~L(n7SEU%`~oZ3R^zDR5pSr8=5QYpQ;#`tQr`v?H_9#9BUmO>l~fvo0uP( zMvY9Phh|WNGsuA%#IL?-TY(c)jxJ#`K0sK@vd*9 zdLG5~Jxv}+yWIc$%l0Q%8XjD!{O;1bZ!VPFOD?{f^!j#U>CJ?<*Ak1aro6m-Iq%Es zukPF}`{w(q`_F2hWY(wUw!D1X^QK|Awr{e1YIYF4IJLftVKT@vsnE=!N>&zDrn(24 z3QKZt-Mn+`)BDH%^dkCrc}i5}mDq}#@#SA95_44&u1X3F0l-lMRgiPlN&ru-=IOLNgN|p^aP=y- zR>je(xjNt&8i7G2&?$~$Ff_8jSh)UF44&(8nH+%5vyfVtz4#;$#r76Rw&nk zHNHTq7D&_*a7zlKT5XZb^+KMEP2(~t3_6KIBN8^SsHM5Fx#5nn_Nw0MqSjYwjd_pi zv%aZLyH)czvG&_9>hAoa?W_^xC7nj}+g$d!1dim24mRC=b`z*ZT! zNLQvsyngClUb=?7x4|B=0;F*KpuJ-c={{If8*)qm&# zJ^%@|A`R?21N#pDfzyBB@Etm~4xQdZm*<1a3-=aaHb>~MbHSj^!*EKe4~zl8fAES> zT}@b86Rg}n9>g3S$M{0d5CUF!c3>S#2UvZ3txliK6M(rDp6yWLYS6j08!ET82j=VT z{U3w-Khh76yyDW|{@okc^#=C5+k0DKy#c`Jjss8dz`X)YBn*bW}oLI!6>gIij%K?T7=<Y{1k3kb~siKcwAq5v) zs+dC&v8f^;6-+8DkQMR@KJ8=eEIJvUhQNpmMkw@xDPpn(G#-z_=TZecs(?=e@cH3V zoOBMK&W2f~KquH7F`FY{Fhdz1Bv^5aLgtdmTq1$9foI~^=<6%A4IE`XT(l5J!mJRG zp^js-t7}s$s}n1$qbs-}SXvX)i$Qe*wE$9qnD0a_bfFjfmQh2i*zt|E2|RWJi!=md(gqbrp<{^Dg*Czyc6EMbb!mNdgM_EC=^Tj&{A&v28je6kW5_n} z6f6?4IN85E-H%@wq98}`<87Gk^4Z$lnTluAZ|_YPU!5+wFjJB=QxZE>5<6aecBJU+ zP+@FeL40>XVpl<8XF*~|L1KG;Y?j>&QRb{xZ7lMHHYNma{km$vFePA|tXs?Nr^flXa1P@;q8qd0e)5Xe+~npL=Nfa8>ar4RGUBVA$CW>iEl)cert*1QO-5ovW=dn$ zdEgSwAzE_Iw`5;v4yi>`W-?HVy5|Yisc}`$AeGPJDgdb=(&8)963SB(!d~&@RutqW z;LM{hPd&K&#rNkw{XXe;-^cy){g{7Di~re+q@NY1{H!GDzm&xPpRZ#7kJ9-6t32r+ zs*`_Sd;ZrA7k<}t<+GNrVp|_wYtOjfk(<`}>Sb5?>+XiSp04hmp|P%s`S!V`mc_M( z`PJ&#m5M3s`!Qtc;9P0{R9XK-W#3p$|7h4Nx<)7aCgz5LSInY^XHi2yDrONOsXz`b zB8L&EkuZx$!0-Zm{y%y}`vNcuRKq;7aSqiyi)w{=CFrg>xQWp_kLjO>kr=}Zn9)V_ zI08M1TAIdSXO~vyaBK6c>x=7zg>@oe9#5QIBTlapCRa8lmht20l`#Z%46{0hTOY#{ z$5)9HE2K#rX<~&qu|}A{Z%l6x=ZPc)nS!CRadgoNRfJr|PftybwAc6NKj^x3vMu4i zwqN>1`>o%!fA#ye8-HlK^oRC~f9k$@tna(Xfk)AO52Aa&kLtX4ruok4+UpS&*G`q+ zIQjne2|&fo6V=yFlwUqsoP07X?qtT844X&X%MMRa-BtE z(5tm7m0G4!%2g_bN~Kh(6$+JHu9Qg?Vv!syPxu@Ok1gS`q&${Pz*dMkKqoXZu0|e0 z#?i>wY8hK4XR8!!m6D@YbG2HYUdJCaXuGHgNbt0-20LA;(9CyIPtWE6XcOir?g9zkYW6)wj{FZvMLB=C2!X{kH4& zAI9!~wwQKuH8*M{|0J&Pb8PV+@kO5yi$0?keNKJxIW_&y)Tf`5(<6!5@%Y^H^SQ|b zdFNVT;(5yWOIX5UA@Ay9;Wb1t;L2k0#p!|z%^BB=9(kURTK1R0@JhLslDTY7^L> z6}GLv6Bdk3-@)eA{^rLJN@pnR)8#vK`#-n?A;5+2(DmQr_8+~#^V4hmAG`rrTGPMt z0~ohLY5~2%|FK^87CaDf`}RU=vHw$y$49ByvBDN$uwtj#xn_|9^wKAGX1hu*gOzd^A+NB2>ZS!`3c5k8t|; zHoZGxj&fmqd*LoB;WA?33xLJx)0!PJjfpE$Q-qQ=4wotvb7e}ITBp_;je3j4U^8fq zYNbXhk+XRG4LW^^Oj=>k@f;3WEEekxCYJ{o&URpbKX7p9KMeW~yy33&-kosWFq?b( ze~L9!wZjZ+je1ScD?9*$%?*GJ&R~;t2kc~OcIr$3x6b6znYT1%ufpt>n4NT$Zi&kq zBWwV#n50wYIE;BVV}U_mq*5_d`U;IjpmQm7K9eR4d4-ry2WlY!7vLcWMsf;SR3R*x zMHPez7qy@gxnQJI`0yF3fJWg{DKKf2%;Ay*91@>PhVUpnE``gba<~*0hs@wm=v+FJ z&ti+%Y%!fCppanEEz$-X*2f@l$m<*uo=se15my)l9CZT=yn=*XAz@aD$kmO7)%Dpm z{L~tLd~I!Xb#)l11#Y>23EhK2bRiZx5%XQhg>K*#IMnbuZi2EtOUtZmTo4Bm!NwkB3!MM|_#y(-aAg?Sum zfw+uhtYHZABg_4b^9`@&D$-}(+?&q7G+UHBUy`u+CT8wc%v4GASaI}FQEXpPd{<#& zXJJxDVNyE)$U|;STSzJz(ofevKi!lS)A};5BQK#XKcV%A_|}5>wgO-maUF$modvPb zEApb-bEDuc$IGZrz>71TIj7sRB3sfU8dFcz1Fv`r0D=)wp9B$JgGh-r6Cho#QEkdU=&a)T5~Rh>;gQK z(wKR!ETSNBb4Gqo3W1dU_M`_{)fg zmyh4S@cI37|9U^+HxFWe@jUUDFH`=x2_r6H;L^JF1J6q(f<5yN7i?p`Kg_6UUpWz>a4HmXlrWk>1yfkZyXw~ z9~rA18Lu9hs2Z859-XWiovt09X_%O6nw)Q$T5N&MOi_?&0J38S(K(0gUO@IOq6QGC zVI&%O#VB9_2^g724bP*8=FtNSn7)OjZWvav)H;u8nT7Sho2M3Arx(FHbj`xZ&%V&h zLi-iVW60%kG;RW(gRD+s*CuiJsnzw#mGy}g{5TFjid`FCUL9Os8OE%PqE^O{E8|OR z<0~8Ec;e(5X?m4Bvr3s>BTuiBrZ-4)L|E_^NugqBY%E=br3n|Y_=%aR!Or^bg8OZ^ zk2fX$Kh0Nu*?jl+&EI~~bn8zIm;bf#(jQxIectu$$=-(%z4uS`eRrbo-tn$G$J=il zZ@KeW)M3Lw#f6`EY2mhw~*j#9){30X=33tXth9E}8)t#}>U0jB z!J$-}#8M@fFJ#ae|1hrMF4`0_&0g~|N$P0zn9`0mb&C+S`7{TmdX+~k(&>{69U1oTa%rK>d* zjfSSu!JP+%fi2f_WIB#i%aLhWA(%1^L#Cn2G&HH2B2|$kDw0G=6e|b-34|n7QovUg zT82^wwM1j&XiPkfiLWsWbyl&#E;BimR=3)|rFRC5uAteoW82!Z0hb5?EduJq9vJQL z=wbiJJz&v^qc{iGM}SDU!)oC_Ji7KB9{I*cJaAhBx`fyN0bclkOMLJLVV5y~s3(X& z2nEBpedHKWGXk)aDLkh6*!3(FGP+~`c)$Vi1g)Nc)#bCgwybWS%?*2|Y; zmMF+VF`g&Di^S_vIZ37ESZq?SPZ!)X1on*nJ(GXW;NR1MzsL`7K;_$2ZtVaR-r)a; z+_NqB1Y~Z%)a92r0X~4(u@%BAc6daa9+BN6vUx;SugJP3viU^zfWYQw+q`tEdsSoSRF)n+Y$(&)b7g;7zz(fVxvhM44I1|anS@0YJ-i!vyf{r<_)<@UBFZ4HmK7C>NtTi zN+1srNPQcG?v0I(_4RiATH7kF1-IO^jA_820rg9$hGlfq3Z``(*G^jNB;&hDYdyr( zA=1Vqg|bLzqS?G9KDaUIvRH~1Nst0DRxBmTRZI;~cQsioTjz;a*%B;6wnS5)$in#z z`t<6?EDkrn1P@Q9Ci{kas=FHsx++sU-+kR#e5L30rGe55!)50O%g*uP@a= zE&^%+Z!XroxlsQGyx@FYNlI-=a$QMseMxddaY{qcxrV}|`og5Tg5=tQl$wI`)nN)R zR2N>VF1lP@bhW1V>VNvTBd>0Gk=&eft}**ueO6K}P>b}0s^@VPX|d(0XUk!pNL)=u zQhjDhL)Q7mtQ2?@lAZGLBDpCm83;*3CUlb8^n~gVRq2V98A+8H=PEMKm1iUa$}*3< z;`yDkskfq2Z$>@45%vGE_tsx=Ch5cezpyg9J3g5R4lx2Df=3`ga0xMjYZ5X*hzECf zZKQFBZln#GZra_waVIjCncY3-t$Lcs%IAE)zr8=apL4ELr@H!innn(F^<7o>efx^_ zEw|%0E?Ql8F}dz|==%9@Bb^TcXP> zih}04d{j$rdwWhtS9VulPS-$o_i%RCa7M@A3snE}*1i|0zKpis?2g`ibYD?-e_8K9 zb?-oZ|6pU^0Pu>I?!MNpz83UA3wp2_J=oYa+|V^r+ci?zHB#O+QqnO9j3TeKvjEju z+=eb~?=I`;twi@%cMsO~j@0*!!h&Uk6HP-HK;!U4!w{xn1XDjWUOO~aJvdT1FkCS( zR6a0R-9OyeH-_pPM-2hxm}rZpnktd_Rk9$3Ny=`8qeyC^yt1%hxQ!-6-R-QLeXHQLts%b*sv27PY~q z^#LaJzNYn8&1yVNE4_@%JP((89;);(s<~oZcX#r06eH;=z&c=8-MtENe^YeV3mV#<+o1=4x3*esyYaGv*Cb4J9`~|9* zK@qa&h5R{zgep_fwR+a77P78pt}7XfGKN|L&z1rd01-_tpvnal8E;<3CQDf`?UjU0 zk+P{008k4KP0U^pv1vlM%Yq@|F-5>eL@b$vr2rzK;A)h7ol>Av@U=i)WIQ#5ua@vt zBA!CXmGe1L4ok#h3YZKY@CpWtM+a&_V^e7C`2{AGN~2P#3_6p~5y*rJnNTU>D)>y9 zfGHPpz$<7(e2qw`5s5THkxC>~h(t1pP$m;f6hf(#&Erw%Ed1OY7CSXMFx=nX-&WUC zSK3*UU7eno6XBogbv855uJndYW5mg>=#wMyCuWk4PsdqKMVU_CF~-H6oK1Ehr@2ks zyU-Qu)EI8x9Oc{^d!aqyQs+Il?qnbp9^DTvcRg@zO>)T%cfT9t6MrM3qNrvX4`%x{ zv3yA^(F(;XjzmG1%BfNrMJS^Hqu|J>94VD8rm#fwY|$KBJjW7}SVAI8NMH%@Og@gu zpJDI-(+utugF6j7JRFNpU<-*{5pa(=zSI!kAR&7;hyv-XSTQeE(d1et_>`?(5$e|^ zOPli59mVRda&1q&zNZ0>vGz*020pOwpTdCtu>N*+<0DWQ3|?ViUm@NY#y^a#zW0i? zjkoKYKdx`=v$6ft*6uIcuRdZZX1cZe!8D*|tZl({7DM7q-Kv2dgIySaWi{5f0kDAk znt?5N>;);{g><%Hx^h@_V`pmjwc-Ej|MGu}KmY#w|NapEuah6|m>1`e8}FEds6{p) z#vvp6{L83w&!f(~j6Ru!{G)#Rbqk#x_4k30`N_W1sZ$H6Bahn{*IdFE;S!qYU{(gsPs_d~Df9Bk&(g%pN&asKcuC~hR+@h3gIRO?K&VR`C{5mVh zBk-K1QgkN1D72)p~tj>v^ET z^I)^*p(ZbrI`5-ZJ~pMkHU&N>vVE*xUbT3B#r(-7^T!u0A741}_=3$t7u#e9+r)FW z_nhog-7h}zz4|!7=V8Fr9|FAY`MJe=yF`1QkN0u77wnRH^HOrKYofP9^rbT~o-T2L zo(VUD^DV;J~RV${*B~*oUK_#Q9K`WuE#8jn#q5x{aB}+N;QVvDRp-MRm5;lM)X3<0}x)8u- zinwes55_uVVzyGsRVxHKm3T=dSyqVjGJ!_QS4%-F1i)fv z@fpA?=p0zFh(f1OXbY4D7M&&F3gu#@Q~;zx%$n!1C;~1`!e=Q293`Kt1VAfgPe!KPh72NH=wyw}?q#A)pN#jciWcv8{RBuO5MOOBsh_E{s&Oh)vmlbrj z`u3T&2;0G!Q&R~iCu6NJQKpy(BV5ACxfDn0BloF$7yF`|T5s8-!kthtu5F2zI_|ll zA6)55@jySg+dv@>)r4vfQMECLc+ zILi^uam8ewgv1lia79>-0Lv9l^Tjx!lq6Bi%hfccj-^@R>Q;q|>*D22>B^RTWgAIf zxvO2-)2-|+uD)7YeYL#ydS&g++ByIl0t`ERq88xUPceAKrxF6C0=UEnHh-ertDbTW@YVLMO6WqIWggYuozk+WYG}`Wre2>d}ze&Ved)ZyCC$s0(eN7~NIU z)m_rvTh`N8(K`T(mko~A4vp0fPt=cK>W49PLld=w<23_g)%~MYy~CBgLzO*)6+HuW zeIqUX;~j&O?W0p|6Ei3*z7tFA#*+H5bG?(KZWyn?bxqB5O-%#3XNWy`N;i(uHa6DK z-BwYbUzC0$C*)Yh#m_Q5zsdAB$_z5k@-fSHH_3A|De*C@4z{enZqXECj0!x|7Vv$$ z|DksOBW?ah&4EYigAdmS9cl_Z*y{Ivv+tpLUz2Jdi!vX}qO0b)S531#O){^TWVjh; zUN*~ev&wcqk#YIt(+ellolmA;uzliw?&($Mr#`Na{9GRfTuAkIecF zIsN*D9|BzNUa^mHK9lHi@j|ia#qCkQG9T66l18st{6T!UZXxD&|pyTri<8 z2)Q&Nk1pcUMI4&Q;1$dT5rb+#%v_Lg=u$omDJaBzwM?j!iS!bIS_Dg@Dug_RkgpW* z6nw6f#};!~LKcHhr*QzlE7)uSi!ER{Th8Nv*HlSF8kt0=RxB;4SJ(9$tE$x{nO-MQE5%x|Y>}s0B{Kx$7Ev7{D$_bUu;JBhUa`JdF!l zAR9zFpTrQ%0s~=-<~ibd!vYFVLgd3^CNn}QUL+%kvA3NtWDM8mKr8f*w!uY>R0xb44EzA#==(sFk)cQ@D!pJA9MmP zd29la_-S+Vr>(7@4Qy}!ytM=P>BAz(M|M8~mqnmg!0i^Wj0h}my0c&5bZrmW+xcpF z6RO4H7CgSH-`LS3)yB2!TRH@!vkd^_i<>*jt-Wi%zO(!N_b>nX&;OBs{PT-{z!vh) z{mvI3`NtQZUhv^EgwOx+kH7xo?|=FG?|=Cn^4H&f``d57ef|#e#k=3X1pKzo7Y2U+ z`xk!)Ag}pPg#Y*wU;KaYkALCs|H^+ENACLjKR^HbKmPXn-@%*w?6=?k^y{yHKfinT zkzarP?ALdH0lfR|uYg}a^0#-8k0bB?6=V?H_~C-TAP)`v_1!z;AAf?E{f6-Fx4*o5 z2Z7K2itz3uzx?_c!iUahKYzk6ANe!FpMLoT@W+q*{E?r3{=E}QH_~W16zWLMJw}1Ze?Vo=__!07_ zx3B;BX77)$cmDWl`wx4Yf7splR*9_>z}k6e|Qh_aP!lV|9`B1y#3WC;13Az z`&)*GmIAWZP<3IVV*$h|KhY^K!4U>7;vI70?X%*}XU3k(ia(zX9ws>F!~>jwIb_8G z<*?6)IS14Nu?qyC7I6+)z((R6GU6Ox#yC8WwtpIV{&B>)N8x85-Z^XViquf2`#}!z ze&?dD+C_MtzH`O)_GOzJu17;1Ohe8e3U@V0^e|8HJNnSi@=<`rlK`{F0Dsd*{$_x5 zfAjPJi^sv{PeaY0UpISp-Q;ypqj zB{yBl?p!I0@-I)gRsJBhBK<+-^C#8WS=GfQH8u6MtsOO;y;YsP6`j4M=)Pife_{7v zLHAHz*H9jMD7SMcuWc|7)t}$eSJc{D+R|Iz+Eaz~84js_p8k?CpU^ zjRt#*`}cFj7r~_Q-6eg!<^BDYgG1HBBXuKV^`jFFa5n{}erN&)G5W{qdPnPfM(Vl& z!%cl-r~ypp@KpQQO#1|`4NK_6lDe_8{a7;aimpildUB={JJ~UTX$MTsbWG0zT1H3f zdfO_R3W}cH%DHKs;r4lk*S8tIhckd>d6^WtnUuMi)%sYpgdA}gi&WmW8XH2;cK_9d&#%g0{2pLp(J{mjeusn3}w{^y8MYV0qs!S$P`9jj|+U&_~dMBb4OWr#>=Fz zCw~^Q|$? ztqGS}@4C0%b8ESGx%D3CyR; z^GqRyC8h!o;Q&9BP1~ zOv{DmSQmw=WwB;OqFIw^*W_@w=azPP$B;~0yS%Gif;CDYi`%-T9sTmIK`mC1n8v}Vm|psxp}0eoW{SjXNXJT3~`#qC$1)x&I8@Op5u zZgX3|xw8m^9&eVmVAfC_Qo4P4^Y!Y^+vTm-iyQE0t!8;kwYZ_sts2hiYFGCwvFg@# zmNs9(4WD~IDtGp{TN~t!WwKT?FO^a_d?t;ZMJD4FGsQ|F&<_0C~EDBS%GGZnO=xen-2!r_gWlmCN9FJ;Mx*32yU7(Gd+*P z%@c?e!W@-EUYMoO=BRYg!Ov1~1oG4j34_H?Ow3?0xT#6v)FfdNL%@vVCdLp(apS`? zql1$}eG`Md<0E|&WBu6i!O5|a>CtiA(8Nq1X1WtIi5j110{?Y~hHHifYljAFAOp3- zg8n`gqDy;v%KQ53Muyv`F$3foEM=B3&!Cb8#A(LZ5FXtz z(mOachNI$`LL7xVIYY$^69!t^+l#X69>&x^iD=G@MCC_yl-%#Cc-mK+-&yjsHT!PE z<)($HfDp? zGmpaT(r(+P+_HIa*z$3Z#iKy;^dO70Aj`C1%d}97hqo-!!_3peOw(_hJi2Z4 z?v3RKNMB zO>B6c-dvQ2s;g;jX=!S0tw*(0w{=!@beEv}3ef|3or5`@!&&V^S*XFxmj0~fzMQ6> z{HE@r=C1NqbaflLw!O2iy`#RPy{;Qw)8A7$JWxK|zpoa3U4X*gF3>Lne`es1ZFs15 zWTbu!sKr>r@OZ<}1WcCIH`drY*3>iB+%wkFGluHNv=2?8M`t?5acvkp3QOn!UV)kI z!_4(yh+SA*Cw97h0*e|OZyg8sfJidfp;r)G< z_u+gGqvFfP6_-sLd@S2Sj&2CJI!}5jqiI;vhF9Yl{g3e|H+h+tjybN}H8SM1L+adMRxqJ3@53jgohTbSi zxYw3bf<+B7XV`S208IDuWEq{V=5X{P(W+FkqL8kr<;xPGn#Y#VX*>Xp##;dGyofO? zWfBxDl7cfQ=g!OES&sz)cY()UU~?CkTpI8I7N5xxuy_I{Owi4vi`Y~#V_r;~6)zCQ z6ug8&kSvhJbefpOl5jXO9$&%dE4W-4n+--pOo))l6fhWk2AxZ%acD3!!KTAhempKm z2;i^S*b9F>rx5(8LD zF+(9bUuG1j9Ac4PPK$C91;lN>u^?OUSkTjHEs5-+vfyV88ut?BNirn?uKlAM|o?d#&~ zfmftl3rGo1KvlM|D1x=c*Nd_>4OgvTNabvqj4zi9m1>bzCtB2rmQ+H$RGe(fny-~ zpVde$QKfEEuH8@|D0LfZpd3IgR`!NgR5`)@xY2WBU!5-x06a1T(c+sxbaI_uzX~&z?Y+_Oz1Hl$ zQtj?(fcb3heK-&DK`P$s#J*Gj&-u@jAphYN8=B<}m41ESD;9TjE3Xv#ZLVTzUZj{} z@dhc>b^_uRv&8QCx!$?iJ|eMy20w};PU6V~!oF9`AzlGo0!YRFVGtaBp1_#@pS)t4 z`k|IOZfbsJY92Q;kHgR7iSxu+>g*hCj!Xv~@NfnADEmNnjRmW8JoZjV{pJL(BMC?!7GLluRwI7Ze$2hKROKB znxX!xfu4%~E}#}Az$>~tOS{nJon5tkeW;1yUc$uKECD|Uyh2Qv;tUOtT3bijd#C!Q zsbdV`1eJ%uGqB_2fff`h=W*5Dfa-f*bw9W_re8#5gme`p4b)`xl%#j$B(*$?Xh;jL zz2{L0GuWJ~h_YYik>H5nkQHyA8FvnN1)>%Z7}kgb5&}aU89+Ir&pnGg^W@Iy z^xL*+H&6X=!#X*1Ki}rFunVc7PIm*KS41IR5$0xl-Q`%2y{Z41!#ABxqTMX+c^^yh zJC+`J^hxm1$3d2lg3Qwc%^n7trv;g(23e$rn5TrAr`#}4y>9j})b!CclP4j@&x4IJ zf{tVc9M17Soa+ZTlIv@n>uZ|pXOZK7EI05}-nFv@H=GK?E)_?5l*am$-@R6q8d>}7 zUVT=2UEZ_0;>@~=!rHpZ+Lp$ew)U#d?uxE~GW1|^$3Q{bKt2pv^a8IaZ0;&<=_*5^ z%YlTnbyl`_RCc1P&^=Yi`P0gt{tCGK(O1#mS2566IoMx4JWw+-STizEGdxfW+M$7( zfq|O-f!e;oy1t=?-r=Uc(bfT&v!Y{ovU6+(J%MYVz_nm-O_-V134F&mp=*rTIR-jF zDkj^;Fb1zcVW!)rNT}(#rtz`5!H!B)ap8-wtlQQvuKX>_^XokC?+U#S7PueEzj(Ot zqEXpZv+5A5h8stlLd{!(javebGzJ*e`5D#tn^c9ER@^kJxM@-ua-iD(iyGg**7$y2 zEn9US|8K2FQviUL&N6ul$ISUFdO~C`u z-z$=)129Oj67eePUVSs`Q)Pik*fwVv^z=uR8m%hNFlIaWz zi_Z{9xiT3~F5$>UY?+WH7qAt4U=(a67lFr8@>wb&OC{xM)q*9xXidh|vKZ3YdCm~{ zGbkx7NWNQ~c%v-FqcZ$#ORRnGeW!^um(k=igNY~lV$J$vEQeso;>1Xt&1llu;d}Ny zN%n2=4vle+jqxsx2^Sj^FE=G!ZoUTu<6_HQmzE@l`UHpEJMJI7VjgH52=z*#PA=3+g<7~g#8(OUN-hsBjPz17ho{Y?s&T%EP5O~al1O$UG zofF8&BKf>nIWJLBq$=PfRGEgU(DPsfV^ySH5h!8aEzk;;%OcgXRJ*1C$^kQD?CICR z9Q_uaE#3ZUZTqM7ou4;$f7#gkb?eo;o!7tZzWHtY^}DUTUp9AtT1QHv?T-gCYwOD~_v5sUB-`Ip_MwYi;Ep5T51!Q9vhAB3Yc^Qnu{MZP)ZL=0dt zGDFBhxBEu9_gb>ICth0@X%~f3m6$J+GQm%otDNVl$viEYr=I7jD17CDK*f=&MM{lA zuh*|FukWmEzh2scffwy2ct1P3_1#aU;uDeB*9pWZ*8lBnsewdI!n9JW$3Qz{+{OXel&h)WOf=)UZ7J&6cTrO zVt%M^atO!_jy$ozz>w(}`~nt39%}FIEXiw1k7-N`ZA$ZQPP@?h)Tcf3W@kZsdv;Xo z^IJ{n!3`-_YwumGia%c&ce)aqfK@pl&Z;clsxIaT#uEh=MA0jVgBI#v>O+(2p6@v^8B$l&pk$fJPL$fMwOpiv;5 z(n#nPrLm_<;%tiJY>I$g#M&0e*_FhfDNQ(6mS|so*RkxbW9ePT;v~nSM2CX-^Lepn zb7Rir#Mos6V(oI`&g3PW&4X%T57i>^BQSkd9N=6wLQXue5r@1)$J_+ChLRO$pBaN} z`;0jAG#m(q-J`J62CsM#ap~a==X-(nu~+S)J?$b8uLyNH7I@y&_w=DqN8^Y~=80ZM zlYNgqeD4+Mz$gMu(*n&>1IS+7Hy6J^)fJ;!>RLNdEj_(WJp;8}0~MWvrS1JisJ{H>p8S^Xf|jmAShEaW zgz7A6>nv^SszCKrqxz~*{k0u~wOxaCJwx>aLk+{j4I@JhqeBg2Lv^G5HA6ksL*11F zT@`)k@*Z?$Pj^jkZ++ij^T24^@ObCwBzkgVi`o$LN`JFbFOwoq(?TD!f&jCEK;r_RZ;L$s zQsVKa@~eNT^7~t@{}=WCUp4uE)8zAQqxUxrUfKrM1T%nPm_E%H54?02#>z`8upx+3UQRj^G>ux)k7>GI&SCBf$kgB|mNFJyj0`J|Pb$CvuqG|D;aPE8PHj&~>u^mE4vnEr%!?@k;erruSKvta0);@T5h!&+ zsa7CV^0^8DfTQ4Z6kL{!&5$q_MD%$fZBDpA5-{e3ta%BSBIVOyu@4E$fK&==sf#5n zv6u~BQ_SH>SUd@nCt+|!42}@AOrDs<6EnFYI$OX1f&jN@@(p`6SxlHHgGmR1!C}zY zEINln=K{5WPjSG-yoCkUJefwLFu4rAge#HpWiq}(##c(XN)cBj;Hr2W6^E^4GnE{s zlFL-`nJR@~X<5F#qyJIP(acSfd)s>IbMp(6VxRb3E(me1yM3-Z+IA?>ZsLb?Gmq@C zDYm2cjt(T44#t@eMOzL>92<_d9!{_wOght*bgm`Qp)Sd(F2SWP!L>gAVpHPfmiw1m zlP{z0yQ1znH6}Xcgdx;@KxX^&jo77k#X2EHXF9U^tfC(kEh`Cl>l&!P@sab4xw5oQVYZy zzDUgzs<;9bOQ2x#he*?a@u6`0?_RE|vCU=oLF0VZz4{H|Tu(!+8guk~B6 zbvrQTpkCinEv+e4iz=x`B~Yl@QWaC8WQdeBp`0$1&;=5vP{xxfBr3IPQKw&9S=(9L z1mE(`((3jia)w3sex1eO6`zJC-UHvmr$&J!tbiEQ0$iY4gleINc{o?)2Csktr8mGU zSTY@fBc7nK`pM+?UV%r?5qn6)K0LmE8hXVPflMUPW{I>p{JvKhmO}QW0)XH53WHQY zufTue6)^qg`*jc)vLGYO;b+K1JcUG{;&Jo1sktdEX$nI``~eR-(^%5XSyN8u95D3ZUTdkot)I^H}oT90JftR5Py8U7cws2v_a zyrLU=g&|}C*Fn&wUFgdGu7gtZH$8FDIQ0alF6xWtCx8}!QP0s=vANw^v^lnJ;tWUmFd)Kih@k~{M zb!Gg~ig+^veRSBCSdzEXpIysv?YQBahTa9j=WwtBO8W8GQ;aogiva z5pxpwLvh4WKoKC^syH0>2H+dZ=N4;yeP!3?2b!Syk}j?wdR*`?ZuDK zHM!`fa&&uRdnc;7qob}JU4=rIx1x)i(M8SZ!j`Ur)~*6ncR?GZ7}ZnW(p%lsSKBgB z-!|CLIo#MY(ljvIJUrSoGSWCY+%O9M>iVh&!5>>^d2dHqPe*B2du0!dj5Q7nwGNMU zj$wN+Gu>ER*AyN-O>CXS)nlfr#xZrH*rwsB*1_r4p{ds4$(9jJ>xjWCCfa~kOwYB? z%(q}M4Wr%Fon?iYcV6B;`PBWh9FNb-yuPmT`mX5mciArAzHt6N!^0>u&?4vh(ZcIT zORrm%g;*8%SY)}IWw@DVdLPRQw9XDXp5tqr>-lxQ=jTPv>OH=xzWi00>zAdjUzc9^uJqEO61O8o?(if|p{H4~w?&z+RfXTtO8=wP z{>SP9jyDD!ZwWrp9D1tZ=IPq7bLBVA6$GEn^gH{)*YTO}#V0-0g zx{OJc(aBQ!tduz?W6#TZ6or7M5HXb!n36&+=g1UXiGn9q@`ZA~P{bE=_%Kx_jU%M8 zcmNvE10GNd5rZoPUO`8^f(f*N#b>hx91dLgVA44>Dw9rSG8b4J8i&o`vfz@7kjCUw zX)H3Cwm@Zaz^ib@Qs5N=g z&$2}Xwg|@&&2U9iT+t*~h~)_}JmCaSIL;T2@r6?Y2}vYhkf^9)B?aaJl~F_r&<7(d zg^s6Q66w|?OB=G4ZRPr|a$`@m@e0-;+j^tjeyiL0adGdbl~=#4y?(d;=GRRGFn6!) zyj?=JF(9ANVeQVPwY_D8C1eEzNQG{B8vxW|X?bUPWe2W?z}lm4Hn!ew?)-=xO5M+_ z^&##7Ci<1F*DHo37!V|l)xYNOgr!dm67m5gSB7D8#lBZ;?JtF>mp1-w0|T-kvH|A( z{Ua(Hz)$v;wqGr+?<_8FF6!3w>SeuRQ76#?S5)zpa;{9um5R6$Ax|O^!}6ml&9Z)J zePwlfeSL3rb$fYfV`*_+zqF}a-uiU;!+ZEQqxf%L0p29=inWhkvHC`)-(pC# zIF?|P%IKW~UV#T*(Lo{rujod+VqgY0h9gZA=4VMXGLcTk?@Pspc*VbX#e1oM39=Bc zz)w*Osj*;2toI=c9FU61IUIHtKSd_a%#&~w(3!!`PEQc00OJI}G=_wmoCD*a#To1Z zOEjnjW^{UdcyeqAiy5At8pTbI5in!;(Q(}1*mUJFnI!7M6k%>^3O9qn5Jo5P z*ohhZ#MJyq|9F36YgbWGXVwqxPi~-6F0`b$Hl|#tOTAd1a-rde3ylvhG$cDU+&f>N zWLKMHU6XXQI?22WVo{l7S)O238hf-P`dCSnWod+YS-44Mq)|=O;ri&qHNY#Pj#flj zS45wxh_R`F!HSc>B7jZ+e<%QiL6Im7x7r^Gvj7x^0kyCyF%W*VG~yVzt32*hS-eeY zoDEzMi3Zpp*aEdEi91sgceW_@OhL?DL;Py zJjk;Mm$Vy>_kzyF`q)KZJspW`-MsF4EXcvk&+hOw2ctW#Cb4d&cfHJ0{VW~_TBHY< zJ@hk9^*I7aG2nY7)z2u^-zd%BIL+VWp}*;)0Q1Lilc&|wprg-&k3A1Q{sOci0PxWA zd9cN^AhYMerq6>-UIZJx3^vLLIg%M{loMo{7iduse5~lEZAtj~^4JU2_q`h)g*Ls6 zY{|WgDt?G6d)`u!-CR}JR8!tiS5x26SliTE)7n|p-ctdKs>9sfWu1dn9fRsVBNHtn2fIRib=MgMNW_v{AL5p^L)*p zdzhzPvPivh@>!@;PP}))U7!4z3;DP0@~$1t4KU62KA7YAO@aHDC71tJe);oC_b+R% zd{gcIO(pP(i(i&q{;J&l+X}CP6;}_HT|HFdeYn);NSUv3g`Y{KpJ|n!S&grGov%fc zpJl7x(dM8N_1CSd!)(iL*cOJI%JDyy?QfSI;E)~QniuR|5b9lYBdFx|_0sUL^2n&V zyUD0W&$_en`->`us~g9gJFy)D)4k*Pkr|-!^Eeu9mcyLqb7^7$Q!ZjD#cYj~qm!_8 zB9>Of)QOm&)rgpC5mO~%DTFM!kR=tdBqFv*#1TrkLJ?QM1s1^;P?>x(oij^i0_N## zDwDUsLSXV~EVxaB#TKwRP%5}wA?LkU&?wL=*uX2`$x}X^Edqts=CZ)KN(l5-Up2a*kHg?ZwBGF_r&TKl`Vk*{ZGXD5Pf^~nw znf3&Sh6LA!c-Q*43-xgqn-VXz-g5(9fx34AmE_nE=a?UUCGC1(T4YjtHHu9YZY;f7 zmTzczIu%o?;;B^igXH|R>9FIxmp!ZtKw^w0*FGOl?ye7L%7focuEl$IXJ^r zfDU*l=Bt4`NWnECog7GrSf>Ow0$xoB?$yZoNInoAyitIJJNEa2a-<7v$vj&;#}<*0 zs0EHIn&!alomj3A!xfBk1!G*n6kkjf$tY6QyhJ%ClFuTU#>rv@S*)bW)C{GLtzP12 zS9tnW{^Gg;!P15hu)HZ+*^;bn%YbiezS3^LS>F9|b?>L;owtiyuk{;yx^PC9t{K=hq_c)z0artiT^8%F;3iKX727{<@BFmA`xEGZhwGbf);8W4_G!Sy6ePLU z2cUHzz_7-;A-M7H7&3gWywAP)p|tDb`YsZ(*!Zyg0e5e%Y{7k%YshSGSf{ zw-#46m!KhREa^9v^&2a?^+nC9R<*2BEGiUwsaz*f=;Z1pm3~#Tya8@mS=(J(+g(}S zS^_GfS<&g%wfmblHW8`#&tS#BtHpmVf*`S!k6r=SL3F??c6DoSq`FO-SUt_;4O8gQ zD~N=4BEA!N#Vm|h^b-g}I06Pgizia&XBiX{gF<9{*je#0+2)6JkoQsnAmM5M=@kaG zz)u5_m?un;cG&dy8_fm+N!NCxX5OwWI+76z}tj?GMrOaUfGXJ*C- zGvma`al-fnet3MQXAIj8;}wWk3=UQe4j^g)se(q)SJ{t9MK8Ln2hdsC(^=fzSZ();Yahs zEc0($ZQNsOMml> zK(mZs)65X#%uwUZ8^&4JjdHFT=LQ?+1)1cBnB`rwD7bN~_>N6^^tmeV0WjIK@nJyo z(_5&FnD*TJ9Ys$%%X2zw%R3qyP^k81bYElFa837UW%oo?_jqm3NMp|ctW5?Ps_B8* zyvw@=%DVbX(S0Roc+#X4_WLVg`SsC;{_)nK$&S(K?s0q{hB!1iJ2E-fH$_BG;ZajF zjgwQ=7;M@2MD-}P0eHpmOv~_e%Lq^lZ1c!O^YD1{@L2QcROoyu6&ty`P*FAgE=loa@*EX9X^wmtFp*!tI-K zx35awz9{$jvhwOT)&2)+0uEFL9HH_cCd^YKppQ z(d>7$?%J`6+b2qI951|fEHA*SAn-&{@afWP=So8Ci-H`A0-f^xopXF$GQC~1{jTH$ z`s9WLmqbKVC*5yKdxm%pQYi6irrNhXUZ5K?3^hDya<(u>x0;&q*9 zT`OK!3s;naMHycw=BkBk1&=A^GR0hmh{F(YSpq)zfWQ_onLH|;Ge>0+$ut~^ikqbp z=V^0PCV7E1kL1z>cEMotp;T~%Kq|OA5eM7_yn@1j<(R2V_5zy)H(l^(Ea)fm3=VmL zL8Y@>f+e<$x`8w(}eWZP~F01HS zRCJ`9(+?g_+1@TS0T;V&UBmtVsq@prr3*(aTl8tFSp)vZ%cM>y?dcG!J$6JKJSh@@QU=P zyB)Rd9GZA@`Nt*Yrkbx;u#^hES|QQOr7$8P;i<)Jl?2H$6`EhYoCU?Xb57EW^nQyc-7&7WZN#yPwxo|qt#Av-^nB(akA>~u`YkP)F+Hg@|Wm^xU8E~Nlm;)@Q4y0oDr`_G30l+S{wtw8* zdb_dtc4OlWTp|JDvH8}}G4LT(IE-fOFSQ_%4MQpnBvbbaQoCer=f{s;u>(u98Ma=0 zNT6*v2?9%p7$Pm;t*-9qmpAqLwMFgfqJ9lX#mdt5%F52#`l}7NX#@%qxKX{brC8pO zFKsASx4?I;+t@W!9$8)8U0&Q+R4wZii&`KdiyKI!V&lI`#Rs+cw=*E07=_`e2sUp=Roij8~>zN~W5Q!ZmJS+=BBJ`4ogGAyeo;XP)lSm5- zb1d2{i$-EC5I^SeHVDT5 zfX9&Vm|4Q)9FPhkj`Be*3?U0-DFg@90y{Q6J%-1R6Y&!yU?WI00oMojS4^~w!irz(+%+ZA8wl$ zVVe(#v<1FV0IVa*E-&g#Zj@bi^qK6aGg+VmTq5H1%W&HlVK&cipL%}F`o&G_7q_fm z-ahs6woT@3o2)QfK+YYzobWTb5ohuv&lX0VD~jH)5Ax`aL&}YF_kz#F`=5^SJss(N zI^65@&C4gQIa>stHwtw;66Sn3>cXK!_aiA+jUW4&qRRjP>Y=4BiTWRvjY!-HZR1e;F?MCP0NZq)-};*8xmbx z9(c8+KGwE@$u5Jv8qu_J=6(Y%jh)Bz&SSAGKv9S(FDC>vU!})JV9(32Y=^%%{{eM zxp76n>%6|o_533D%IA4*U*uiWW^RDMm{{Q9xw3hwnyJ-t^g8~s zPPn2Gtf&RcKrN&&4~B}zl5?0+7E{b(h*&HUn=N9og>(jwLSxTS7{s{+9C3bzK*p1( zz%gbi3^J8DPh&4IxC~_P1n>%u;S9*9@d_%8R{*bIF!?mLkjfHJ7~FX}Yk|RLvbkKI zfXfxYOczW(EKnrN*ZT)K@RW#N)QkhxuA};B!ujh?3mdUO* z`998VH@$|VyzzH^7-_!LRNuK2U&0T*GY_06@1K~scX;~l5n__je4_DOqA4lS9G_@4 z5pUZc>(~)}2^DjxCH7KN+@+Sp%P8O#_uX3)U7O?1*G8Ss3%injBji!c{m%MMERwo=4YNEmV{LndP?fMCctN*PxLq(X{F#ixJ~ z;2Uxv6+*2_q=!Z!S=36FbO7<9R;1SmfLdske2oGoGDVz(qX25bLw0DuU7+xo2~3fJ zbBTO$38uz|*XsmLPe*kz>hF z0c7(PPzazCA0ibWfV(<3K2{9be;dffhBG73E0#9(x;4FOc~J|zVsm+UXB9{V@SnY( z!DY)kZ}mHGwA-(NP^mU|HCwNAJ8ytlEp5R>94jlkOS%nkuU4+tsF&6H_5UeSVK9gP zY8r<99>~&+;minl2p2>UuK>4fs+NJjy%y=#=Y`6N1@<7B+A}-XNg~2v1@MYlVjqb( zL?n$7W~YhsbF*~D92-ENWgCowKFa|Z)B=Vq2p{)X{8z6aAzopCgab47!rb%%dBy;h zG)X34W^srlfDREmM?{uLpjXWNTgU>a1&mrujpKoY5RmI}7}6A$G>#<agJzJK$IlCE|G1?Z0KPV|e8?)<)idhA3G89z>&B{0Y|HkCr2CXV+` zcGiuz77aIL^f#mpbmR>Uqek#kedE*Z-PnePiN?~Z=Ir~ZM_#DZ%c$gws3ez;WS6c~ z=iWz72#$d6bQko)OPy)%?P>09Y3{9QZcRV9*57xiNjg)NU{f9ow@;KuSyx8dRz=#C zN7|G`o-B+!UKDkrc;73I<%L=0+y-6&)gl|Jg~h*OnSbXf(2wFM>r&_ywt&)T>*9#x zMd8OwB2E~hA0<(z07a3f3d61Q!>sdeTj$=k&VlVIAQ<`KwgnNV0fmuvfC4~-U4Eop zZlqmKq+K==n#c^d&A4Op0vN^3Q_pT#Kf8Y7>9rHjLJgdJaozgm4eQLCr?PI@WZyoW z8)lbx$1XqoOhNeB4_=Xa%RV{uTvE{4_<%FfelYiDm^)03b2_6#S?(Rki5_fm0 zO2yr^Dpp?ca@V*)0yNOwd+&ShzdPruKzHvW#54_tSxM>FGV$0V$cnp-RPddp5Ed9zLBB6(b3+~ z$)2&9t}$%qD6V~EzHMXyjer_iM2{|F#uhs!mO3UEx~As4rm@{qv)xlOJ=4>j(^HtK zDb&>S>=DTOdyGGD0 zH_KdpsBpSm`RH=h{VNrBRm&Z;${h7dAL^I57?il_mnh>EkF_)I8^k!6CU`t7 zc$J3kZttI&=o#zp9K@hI>gwtX%8JvAvZ4zz0`rsH@?#zsM%*h3xn1aIUEpqz@1$1v z=t|k6%hiv+t8w~E?c+byJ^r`GCx2{l{d1egw-}F0?H)h0dtPn#xQ21Rj&W0I^Hf9o zXrldfTm5vKy|o)XwOV|1(S8Q)fyQWm<7OYjdQXFTPvd$ovj#7#8V~DASDP}I8&w{T zb-quU0zDf8y&Ho3>w|)uW8zS08SUA5eT8Ks6?IefsCjfBv3p`=Xkl}b!o+TIm$?G6 zM7+8!+d7ak4kfHZG3QXo+2?WgxSSm>cN>-}aKRN##9;E_Fy#%_+A5t!+oaMqDYOmB z$|jJF)eYu4Pzb0NTm}=SZo($sbR=nWgT>fnvo<;GEiQ}BW3U8tws?yz++^}$kt>5u zXR?`04uc7lgR=!2T=3Z}F&A8g1qVCQH^)044kV}B+#SiL2tSHzE3JDKm5|}10pB3-675Uuu>QA=7(4%?q32IFo2PnV>osueKPkPDs!oBx(_o zwDHM$xI~M|_}e3~4+df%^u#^r1YVK&uqWkFZ_1;tM2Gg+o2`*I%EO;zg#_j%W)63Z z@L2Nmv;XIC`<;xtCuB$k964XG%@^(P1v`A+4s1Wpl#8~cqD_gIE|oCl5|&)TR!F|M z1P}u_EdD?7iv1nY!LA4>th$tTHcJeNxy$GFMFEONcx%o-11B2)-aBa79GEn1qBcC?YvU3;|L> z63H$)W-@3%s}CR&j3^DweO!cocdR3bRPL|a&(-SsI1J*rW?N zTdb`$@ZHZ(FHLsO4%Llz<&F*2OwRSql9whHmWL*mx_cLUnp^wIQwOpi54>>f&$!*6 zdUGKC=Fsz-BQI|Zzq~Q@!geszrtkTU-VD2*j62;Kce*m{JD=OPKfBeIW{XO(Y)&$7 zj5n!|Gj51AZHzT*5IOqA;t1P^g_suwnG^*W76s^+1n8Ff>z4cJRQhRE`D)epY1jJc*83YY2AMX8S)-zEw`1q66`Yp4o}+k+#dXms*4NS~TuWU`M ztc}vB1El3n+*Ipif5RZUy0fONCBLXLBR?-D=b7KDXr~u`H=aA`y|{Nh$Kg`poj;b` z`IquL|6FzZf7ajqrxvF_bh!Onm*=0myua)6yWHXXJ=**G7OzXKURT<@R64x0I=nP7 zo*Hc)>h0cIoxVEV0eT(&dT3wWCT|^dfKf+?WpAWiXP8}EkX?(P9m@X>D&Q{4|9+#F zW3`(@nX`SF`~6ZMr_w;Ts&L=>=+NfGILx!m-q(dAg|#y^U5ls*N-utMe2cpvl2G<# z8^?0y**5>3oPQ=3ycG#f1j1vUaGxvKfjuj@5*}N~Vena7+^u!y+6tXYU8hjjsVkc+ zYxK1Z)&`;$TU(sXP4?zGb8CY|hcOB+o5ADI`QVLgrhvs3v$#?QSHge=s(k1Y4A$lr z6R@$#+SmjKTqaY*Wy@uvqvPH8A5Z^!Bst=*u&Gl^eKjrlamk_gAI09c&v@$&YcQn>?C|YGaT4g3i6&I&ApQyf&tg)1; zjY~40Nw_r;`(QZsL0=pUS#&2p=t+Lmll-tV-o7o`wmHJKBHTGAJftA?^=S7vpR;rR z?*HB2c_#*+jqNud z_Rc;YzzU9^l!YY7boEcC$c%Lea-eLq_4bQbyn6=&8W+GFlV6l}@fNDZ=i|4Ze&-eM zk&akzKPoFnF6`p`^U-fIJfYQm{Oh})U`dOz7WMEA(g+l+r!d_VHV8#xAcyaMIynEl zfBtFj{4)SfoIn2zG~)>P#*e=o!G2ty58i&HSYJ^Z zg|e&0{^@(57QidyP%2K~8~4wFSI7_F%Z@&96~`2gWM*Y+jIuI9p$<^V1Bg^0UO}0m zP!}kxB+B|4mBFO3nKTY_g~MFsG7y-nJYW|a6qseP4(x);T%)m+YVlurg;FiRN+WIp zqgW$Cz`;Ly#o`Kp^d-OIi&rS2BEVzP0#)f1aMOgax=dJ^BT&Zi#DS&duKD>k>}(5A ziy3hDH`xL^2~43NlSu!HQJ@wLqsWHH&_LbbVEw>g^U!F=#8m$bcA7{gF_|odj3t#Y zxZppTO%ee+H{CJZTQV}*I59skOI@5=#*fY72Z!-PZK&a@)Y04r!>?`+J+~Q3w-`*f z7|O65&a@bKZqb)v*7MA?E8VOk&AdI$vOUeJBh9)!-3F6x)s|*~PBm>wHfc;Ws!uR# zh&Kj;(U@S~kYLu3U|yeK(U@r2lw{qUWYrLF0W_l~+634|Wu#F>grQO}N`m!)QRMq+ z<@;$C_-hvg=oAL(76$4S1wje}bim0%KmZUAz2ZQ<(qNz>MrEPKWg(_zAs1c&gB4*` z%tJLf?%us zAgjDU%iI8f1yqXwivoZ1f&lZv0E>Kovphf3Twjx~`4z9i>|cb~KM!_D3%HZ$b1T;4 zW|WI%#3SRdyLw^JE3QZ0zMOdPYKD_amaAI!Q`H=o>p9NXa$QvNo~ipS`IGDAE-DqSs^uQ)rQRCFewu}W+WEmcd7*l_;rhAZ2DuSNc@f6> z5yk}(CWR5EFheyQ2$FSCsAW;GS#gj_Nsv)#pg~yxPz$XJAN5La)k;s5DtDC{PqjK9 ztp;$@9b}A(uxyL9!z9?ZC*NyNd(@fj+g+Z}+nhVlRyN#GGuGWa(cd{WG&nOhH8nmr zF}^T5jvpQ)42}`{M)5tPOPym2m@yn`Y`SH1ym556ex$EvxT|UiQ#;t%FxcBPIM6UW zST{OcGd|ipIfa?V^~^5Ac*Q)vXMuo(ES7q3i(Oa(kcxIJrE6}XXKu1*v>jcMTpx40 z>gn}rCzYD}Dm9L3l@3~Ecl1ge42vEb6h752^3W@D*R6Kfsc_ZHdTf$%&nm;mqqd}c z1WUrPWV3AP6jw6F;SbU2y=yBSifsQXdta6?j z7ChD{esHDa-Zy2A|5|M6;`vRR$K@{f zYhCWwyF64nJyg2A)Ovh1`uw%J{IoE>nyo&X9YKbDk(Q(Jw+3Tw^+nosh2887w(AJA z!}!}Zd01CDnU&l#Dtus^|HvfQ$t>T+rpWD1spo?#e~b~u1!RSI{Xn#JC}bQ8*oS-$Y!c1`mrj@%Ad_$;BDP4#6msc2`Z{Zkwn?LI ztgdXWuOn7~cm*6?y1`sqqpz~qc( zGq_TwK+XYPA=nf0_5@6YU{fO4fKy*Z45^qU6MwOYuTmlUZM;J8C0>C@#Ra0nZSkQ( zdL)+|%ESj!@qt9NFA`j|+k!z7wv5M;a+v@Lmm%RXBz%TM@E-tnvBned6#V4`_B#w~8h0|1_T_A#?j9^eD3Yv6#MZUYL*jeS_p(z|;$*#rGQ} zu#iMqrV0h)?DN_APl#FoqxkE41aR<9xoLs~E-tD_kOAnwZfz*1kevN4YVnoR4?mxM z`rG@T{~g!`cnEh!z?VD!{Px|?C+E;f;FPpCNTLW3iMOBj5H3c5+pAAUJ{ z53B<`_2bT)58J2j702M}e+G2oA5t-YlRI(Y75^DfDwG>WU%djV#lhR1!*|;U?_~S$ zBzxyf=>dr)oT6@wl4-*f>L8Ue_{A$GsFXP>ZHc-{rf#fL=}a1nwZdV+2|GNy) zTl52|NH^_FGww(=#-tddla1O^OfYF??diZV%rL2@ZKpbY`X zfFRw1K;8TRoqT`oeDIV~IRbQx0`-f7fQ=ZH1e=tGn3aZ@mxfrBg<5{W3K9meE(ZX| zh_J4VvaOD_t4X;1t5-zWmV^Ut6o&z9i^6ORLTrFq|cjEz6!njGW32%pks>fop?{X7+0&PC#De(48refhTXXqe(O^F-5;JgU58%b zs+#*0ppx&ZmhYxs;I5hPrkMwD)y#L*D0r$?;G$aSqEh61z1Zby@zbj%Pp_1?UMX?E zR_uAL$Xlh*SG_PmqcBLjFhs8~%&;)RxDZH1lv#0@;O%3#gQp@xE?=87Ry{U8QC*wHoEJuuKWIxsNNH!|G|dtuFW0Ion$ zzfR3!rf1uxXIf!AZ2~@o&R#$YL(xWyjabniqLrYfx=-m%(Uz4EDgxwA&;W6h%b+64}Jc@Fyd4|Vfh zbc@_{D%`Z|+_h_5b#t9eQtw-*`+8Iqm-S2&#y7;H>%!r6-q0$0khU>MruGx?J$PK# z@-zlJ+&bFT)YH;{uCA{usx5z2TaZ?l6iP)Q-|BPT^`?edtK@AzSirb(&wkv<*U~2qmJ@c z!}#lV1{?Q;TXu(8b%t8Chgi1<*;zlaADO%6?(3zZ?S!X&_7QZC9X`bZp<^b@EjIJ z$X%6)HYGBqM8THG5hN@TkIrXquz_7LHrN-VOBp~CxIit|H(6`z3?Lg@n`{R$&-rXbP-^HJ#)*`rMuFsK zih0{2E|RhN<)MVXBNgnz(eR@EZP5X;4}u^(0Gc5a?u&)Hz$Jc#zjJ}|qqy736j1P0 zBy42Eg(a6FNSHDud={)9+2BgoIj}T!6-n}3VIr_a0Ogo78h{71K|8 z<|B~}+2LCSxOoRx)#LLWWnRHWcES1X(fQu-J7670ryq{re1wAW?&otPUh(e3U*Uj~ z_rECHiNArZJ1l!s*{ zYY^xXt7OO;d3lYzxJsI*k+2k)y176lEUzpPR%Y>(aXe{od0FWdC@k~}C1@ZO*jcC+ zvs37qiLYwWG&a~YHqboUkC_1J7^tW!QG7TX(`3 zg++U+8IX$hRMU<$v#xaW&NTD(6mv|n1uD_JIo`A}*0>?gs6NiHKF$EH@y7KDz&FfV zV1cSdOOiP_ZcH$3N-#q(Z-jlk%^TuOYokr7lo1S|8Q>raU|bPp0w|9(E(+3N|bbHYyG=E)Fp*2{kVcwI~j;C<(DF4z?%?wkQZPFF+C`kc|wuive>a z!fnf=ZdAtFmB-vHjl5A54kH!C;kL!VD;;k!Hm)mL;(^711`;QMNTv zH>$yR2a`*0RK?tck(t;VHL{}#tFOs_!N&WN7!*jTaY4Frk_tYe2V!Um1qHTDxZ2+c* zwhT=)k4&_TPN61d(9>A-%o1vj)P|#W%rEyY%=J(AwAW@dCEc&_(kl1VF7nXMbJfmy ztn>Pw-YZAl><8L;&RWH;npLh^P43zaZo2tSrfCmt(tJHi3d_*r%Y76F< z4KA&YE|SNVh~q@UIF&F)#Saq~2bXa}3v(NN;yv8>+dys^nRIMsQZV z^Q+KXFMN$(dursl{ZQom$1KIUj| zGqkr6%G035)2PYQu-?P4*4?3bv4k9!ki~*? zK(-h#WU;ovgkwv$*hqsc9&C`c3EVT7I>m4@$!0vkejwJq zJ<1*x;m{fXpg--&&~xX$lzW}AH(MfZR7Sc$uSm@v=@{eCWp9pu*^`|~IXi+aF^n7V z6+GcKkH5p`!2AlBy2+G@m@rHM(>39YS0%epEfACsVUr4E+=)Vbuq{5=kzC|d0IyK+ z_r$y%9#_ug$aqMxtpMp_AyQVP0vq82U=gdFzYBgiu-p~Ef$Xq%6fA`jDI0z{o)=Y)c#<`qbd@Jv;Yn7w5-1xSk+M}dg(oC&ghaN0 z$l;T?0t#P56^Lm<$*NceSd+-Xx*`Gq50QL@DwNW|8Ig=8k*!GND^kUVe22Nc&)Yi^ z?VpJEPbCKk`w;QoiFo%|vU?&$F3LNHZ}*PRk4}Gtg(OJJi+4Z%RS6t$_TiVeAAW(Y zDn4AO1#F*nc9BQ%-*^Qu3T1wU(ko8Re*&L#j+}wEaQY)ui_?$LB~Csa9DmwB{&a|N zbn^M=^z-psU>BeF-u$RIeg{)ZPR}K$?<8P7dL!NcU7xEjEh*l7Z6W^K5h4EoPzz;^ zDzbs1^op~+_X=f^DXcR^8e}Owfs9|J64$B34ImGM1?m!(jGw0v z7ZI;m{vs84_;w0GSwgZ-1uR1-i)(NPWR^^rCBg#LMe4#bb!M47woDvcTIybyZ^J^b zK-6Le1tS%+80;(ttg}-}wP>9h18UJcG1NTS-#pdZK0DCAFfmEM&5)O|R3eT>#ZjqP z5(SGVP2+ImQ)9!!z2n0JGh^cmQ?taGMH-H{wYWka8^dDihO06Li$ex;od;gp4!pS8 zpLx6gxkGP;eRulp&UCvDSZ8Y0o@UkwrNXQy-Ml;1qBGgDJ<%E+Z`BfO(HL#k5N%W! zqhA}XTN|TS7pGqrZ`hb%+>&I{nq=0RWZD8qG(jbsqmwP$Qmooit=rNdtuRBwq7iPI zSTurzB+JHRtHxyOh9v9yM5~&3i|RP@ifGfa2;P}AZt^P*6T!Vrt1 z5NH&+NO@+KuW7cg2{_31GY4)^7;IG>YEu$!TNZhvB*GR*MSiGNeyDX(81RalC6TvE zqwkbN-zkc`l^=E^JIFc*MlGyz0T-? zd#jfFYn25Xl!cj;Mp~4_*p$WCRz=&?MOp!BqpYf7Sri|_wx^82So|NpBo;9r}9 zzG(`++8nOg8fA!zv&1CZcVswqz4q?SkLWK;9jeV4ZYdvaZyf9E7#r#z9UmW^o*S8+ zAI2^X&BG$5=~>*|%nVSA!Ktb4iOH_9$!mSma!=~9d#PpI=Mt*}x7m$d9mG<`v4rVG;tYv0yRtgFzCN?Q zF}=Pqvq8twS@TTZ9GyM2wlPMgbk9sRcB4ybi}DImvoeEU0=tN~ofBl5@2y$vezpAR zr7EXC);{^ydYAvZ>FGbUy8ofg^G}^V-*tLl>h!wQ>3ONc^D@TcN}I=3l!r>Ir&^1r zW{bB@tFL~mzY!|H1PDf3pcw|CJ~_s&SR_z znCk-O29LSP1TLxW5e$?C&7#^7nRm2;AKrj*=Y!tR>+Cd)Zf}XNUwl%AFJ-Dm?J{JUNFaXYu4r zo}A8yZ1H8AeAxyM#y8g3;uSVb&p^sd_yjf|&*l+0d?Hss0;a(ikp*H1Uj!Z!0bBv$ zx9|jb0AINL1(Hy_Dv{F_yX@_K&dvdE_mIDP$lF2KKHw=1xbl6z;y|=>B-uR%7umhz zcSpz|)Hm-gMw?wsHv{XBzrZe7${moe4YJNYUUanhy-|D(Yg|;0ApJs>RVv_fpjW*A z`S9%1o-$bR=F`EO&j+WUfma+HeL6%q0zkX?ba?u4_xQd1=uC3>MsoaCd~zl}Jp*1L z`QjD7l?ugyGBfl1KMo-Khb#+ajp|pg*f|7V@nQS$y=eQCBRN>*Naxp>BY4UHxXmY# zhY+tAzVHfgVO=38y@Is4Mcks37<39tnYa119^}`&O(ehKKk*7A#X>oK3}##){VNDa z$^;3&N&#L$0;aKwU!*S0lks2LR(yqw#5yR%O)7qay1YSEs>KrG6*%A(B*F}F8A}51 z#VwMj7Kx)v`2NL3B)-0$T%s|sj4+b|lh@YCF zF3eH!bI?|Zvv|_XGHGUsIE7o9n8A)uOihkW%nnb?4~`Q@r&cHDm~->gks)kH(@=fE zKzaN?foK0~yZ%?V`(8No!TuF@yE7a+pE-1<-|9@a?M%1qPPYJ3(FfEb)uKDusuSGd z##^FdESjTD8>5ZtqxEW|b?Rbt>tc25;`JI644M;-T9b@h5{+6CAgCl$Op1AXs%1yI zb>}l1Kzq6kI@KDLYK2O(2B5*ibX#=#4OIG#mb4pwvr2!H;snoL>Y!O!Ea^aXZ2NMuMAFysK%{BkfR!t3h_(MBn{B)#>U>H`Ui} zYT0h;Iqn*{?wWbvP8^7YmwvvtLB5YczPEm!w{D)dcAl3;o~LS_$Mt;oEBWr13*5dh zbh}*S`a`kX)e?{EC0=T!KAL5IdS!t|Wx-~pp_Zj#HsxW~m0@NzAqLeUx>cciu(4Q# zVP&LoRg776ta%OW^cA?uUW&6!ok+y;AggEhTIpIliVCJ=josE_uy^r4$D)eTJrwUrsw z`7sqQ{L50@O5+|ChutX+wx|fut@gcE>vN^n>xVjz%k}P;8eIR<peBGg=vnszE)d3E*!A{K)-k7+s?v#X~7nzf}1#_j< z*jm&)s&BDtoG>^`9bZ_RA#N_xn50ei3X`+J=F<6GrT};ahb`i8L~H+;%$g{TS6XPz-I~sEP;?KkP4+cvc03dlRepilq2V@^A|_3n9};} zsH6;^fRrar2@W?i?%ynMzE$ICj}EjSh`ckMbbBi8;ly*d@z(*ZDXxW)_mcc=a^ifd zUu3kGG;|ic?8yo3d--rE)owi2bSg}HE=qkN?)q}lwfRJYxr7^&2@i(i9(2dt!^GU{ zPJ9HsVmQO4C(*Gj%BC^IvLeh0ctvSi&Un|jfUY<@`P-4~e4D)|*@Ed4BA!CXR|we( zI0_BvQ2Gy2Aw?`gd1V)WZK^5SmmyNIBRk%ef$#KWAFR^jJ!lt)Kp14a9WnS!wn7Zc zNw%c`?v4z40z?7SLV56I1qz`=4p(JME+`dp9sr&M@BM8j4Uw|XCvQihBK0Z1oSy%5^cLvE z$3tXJ%JI8jj?R8QeDl-c$>+o4&%i4Vjy^(;0YB~>p34rPNJtJ&VXEr!Ti_Vd-|U0@ zzAMG~ZwH%x?Z){V&b}mYo*})yfl!_99-Z%>d<0%0RGhFxdo-39x55}+CJ!tty@Cq8 zf<_tn)hpJi&?`2!2v99HNsP@e%`1RW{5sMUsR#M5yy7Bc@vBs(*<^o|2x4eR#UYZ@8m}%?5VcPMXC~{BJVn^LnTjgMD$v{nNf3aVGmP6lb zhhD(TyFD)*x?k9LJ-6?EeycmGs^*>7OCdFDQ4YCrkx2Um^foptWj&M zVN0xjQ>=btoL)nmZhf3?W4vBdf_`&?K~tPwW2|0dj9zn`ertjeI?=cd5e!UfJW>Bm2TUTexot{W_|jNx>VcRWSg2Ko9aZH>IB=W_#2gRH_PMf z%3|$Gqi+^R-Y5*S%?q~54zzgfZ~nr^?76o|h8KdT@k<}m>;Ma36#2nWDqaVgX9rv6 zh1nKH+7(6JDvG{S9Alp!aqD%kZKl6Prk}+NfUo&0Kg+BD%N*bp{uba9GChryUXkH> z>xHjlR^Y>&Q0Er`57T_^0hAX`PFG*JslIemd*!D7 z+Fc{dT{FvFE89aS+eNjo!vZ?l#Yz9WsLh%S);-FHLU*xS(=z0xy?sEFK@`wLi`}hyd&i}j3^-mbLzqGr5)8YPIyT|wK zURNYK8tt)4)w?m&&sV2zF- z2qs7!6{yi1pwZx`S?8@&zkjIhm`7(h3+|et*%H>K~Od;YG{H-l6W0S|( z5Q;XWVpx(X5i><%mQVz|g3Xf)Wk);5AHYRKe#lwn5T^;9Rjpak$$qyV1mCiccf9lB zk$vG)hg$Eun1Flzk@qK(?$2l5o6U5Y%=8}345^8Hn(A@e)86QHTx54$+Zv9&+}}Ub z_-<@~9v@v^+g;s(Vt*+o{%g+1Vbd-kSLHmjcuSA zbm=xry30}Q@wN{{;P!w2jpFFt_Q|{5iwuNwBm?0TT%CbMoPGKmY%2clr-Qc_Ei#lD z6#o(MN+n9E_$nB0!RyaI!vd2xpHAL*>e8pS=Iu@%b-@Z+<>J`RU;3 z)865akfRTP?SnJf-l=5wSh5Gz0!qcf8`x8ZK zFa0)uZHfi^V*R&X0YethE(i$trIn>c%Hlkku)IPht!HbH<zE7`k4_FZfbzIII}`sTH7G5F;~|3tLvhbO%aVDrfx|n z8xr!mWO;sdu5V(zwt1quY^FMAt|o1|;niqs!9Yi4e`97}S#V$WgTCy$J=u;uSq?o} zcY0pm?s<8;=f$nwOuN2JyZ-04gBjLC=@tWNrUNNPeaQwrN&1}$`j`YgOoBmMf&nVt zuq8piDPFfBPNy+mrxDmioK8cGR$ZiKeS~Ixq*hamPIHWIYaDo`5h}q1m0;W)Z`>4b z+?-_6nrwywq*$QStWfDTEzfQ=J-2Jfyw&*pR>Sk#4H>r^Gww7zv#(Egs7-aKPI0J8 za;QkKFO9uZ9Cf=O{6=nwO;(^)rmw{_Z__jn<779(#Hadc9)>S`OmYG(0IvhgU;3N9 z4zkDzwJnIWD~P&P5OupS+CC@z=8HhMzOC}iLXwHpI)h-L7AU%xu0o;pLvC!Wu>o4g|BA0?+@j^-WaJ;HwoODivWGmEqb|5xP~8`qdEzH4%oj5yo|qrVWwiP0^OkvDPi|wylXbS`%-! zCfT(n+O{TGqT)?azzpLIQL*~ySZ#Ey20BIs9eouY`8_(~8&udgt)btx27ikR`JpXT z6%(f29cereYcrByKauiiCfyD9+;28FZmR6{M1AFWYu#8!^JpJtdbn?Xa(sDiZUKkG zE-uV0FHI~hk1pZ|76_dDsTV)gE_te3=B;1hZ&2%J*yLx_;A2+oY4_6g{_D`t>XI6G?@r?MEpK+sQ+wv| zLkshhOS6+p*s+D>Asl4@w*nZPUjcS8hToVZ)2C^SnKjnzCI`#l&9eoIJkcUgxBzbM zINYhV&4FcN`_ybx|8QknS7BXqaamzmesa}I|MJwQC2{u(LvIuX7?=2Hl)7K8a=+Bz zaS7#l3FYxE+Wi}}+h5Rb;NUy7$0fAKWt8WYR?llK9#@;(uQs|}ZS_=X_fhZm*Xjw- z>kd`v2)^DHaJ|JxrO{Kh-c7B}Rjc-?ZtYXU1~;>2 zPwOTh`??^v%J8ttxa5Y^Ow`NVp2G66x)xkVAAWFxJTXU`TUuKrZxB|us9TIR7JG}& zV@r5!DVr%`&;|4@0i7<`q6=9Jv4A0yF}4-VZ8=LWV@stRiG(W_am5Oe;&A)u?C@N| z5)-GF`x-k+(_Y29dO8~!`&pPIIocMuIo9~zM+ZObk8m1Gcs%p$@xtrJlbJ64sUB_d ze#OCVDejN_9@v+?$iWRS9Y}s+;YrI~6~o28V;PQEaAyOf>TeTQ(wvx;1&Jpk2~USH;0&2`OWULj&C-k<#KSpIH@ zvnSn>N*J<>iVq+dKr^=F5+-bf^}Arj*BuaLumYU?O|W85etMudJp{-hFlr$|c0&aF zyWG89<&Fk>M=1sh&bFMhEkl6qw!U`U;%zHGA2iiPqx9AuJR=`o|wWD zk+?zvo4?HDE;85)TTI+01G_=TZ87HQ%mpTUiOpT+@L(u|!&~C;7FZnM9%`KCkx1cM>JsAJ{t9SQf5E*XIR6VcwWVCRsp*q7{| z?7n$_^5ZYZ?|<4q`?z!Reh>E2ge@{oV1VM6(;t5Ydd0`Toqzf}SluOZfikz`{oxzv6+GF|23JPd7G&eK+jv<({K z6|C#kbnniz_XgPpV#5 zie5*GUVE~Bdy-*$q7f#+7!_~O1Y9Cc>w;LV`e=>1NcFmKwfYE+hDgoED6Qsbot7BA zmRN)4Sc4`&oMCgkQA?t6YmzCji`EqL)>NzJbeqPEn+?x_SKMyQywjLz-<0XllD)szp)st%8V~xnZ`igRNf#SZ4T|rFj`AyBnr?8olr{%L%pwWCdEh z3NU{iWSJ9c11@Cw5q5bIxAG!yy$-Q`?r)juWdiXuN%J&)=3|!W2Ry|3rN3pSpZRki zvkR~Ayp`d7C)3yAh5x+_KgV<*#}se-WKX+9cboX97EzD%Lmbos?S6=Gyq54lHSLM| za~JiOt}s}U?XH;%@X*Zh)X4VI$nsXt_EH1nc&X-ispNWH&-1>X?{&S<>w1y5O0l;} ziLYv@uUeU(dbyuQg`XyDN#Unm?Wa@ir(5HvSM8@=>8D!mf4My1yRv{w2;Y|l{!kut zwLDm*B1FA1RI@5nyE;s#CQP?BT)#fTup!c`r=In6D)@kY=#qV zjwaq2OLH2}^qR;D9?c6IDvTH?jTx&+ooRl(fGM2sEXVcKV*6WW2fC()hbKm7MkW?v zTa4M&ff@YZ%yi#yM`L+PLF}EEu2*xNzAwK2mvYBHm)-*h*NYyjmps)h_0q2J)dgPB z=x0*zYhB`H|JvF~MU6`zO8>HGBtkM^v(jTfa z@CER&Cs?&RNVPLiqupPt4Q{3wpnQ#6ea%q57AQDe^=4z>-MY{xwGkc-(Z0>`LFnYj z&Wxnq*Uty@b4N-`$E#|m8d_&jUAWFc@be{3F0CxAzeh!3~nfD&Xz2{Hjqf>fgjg?oJA9#^o#<|~*;9AkqmT4f4obRK1sL)v7K zH`!!5o5JMK*!(rFaGfV!ZZJU{<*{_dx< z_dlKe_zTpJPk%r8@Yln$pZ88b?;d|t9KM(DpUd{oqz8aElD$*O-m!S^NW6b6IXICX zp308iz$ReF=L*P~{OC;a1#t3LjsS>M{N5{I>gLfooG@~DzI$-Ccld7qMDr}uKSzoq)j?ulTM^>B4a_m z^3^WBmYTw-1(~r5!wXv!{06MuSX!q5A6VXi;NhfoGH{HgRpR0b8NWs)ZqP`ZRM^}b zw(KS^BNIdLa79=LPtg#l;COkJva~{8q>&eBu+0Td=@pb^9A#miJi9;~pI;utE%f5% zyKuOUc`RlgN(Dse6?4-NpccO}*)luUI5Su`(~X`V87AT9*O*HytOeo*Zhuh-xqLZOwU%%6fp# zy4#jz-=6Kzk>l8vd$%jwvFo)%=gT{t&u@07TXm$Ex2Ku5r<-6hjN6`>pq`nc(#_B* zrkF&yC(;_H-x#M|AE&9L0j#kaKrQN{G#a8c8>2OwqP3c$wVR`Ln`88vWAvM2fL$0i zBWlr{U<_!CH*QQYX-G1!PqC~^v93?GsZX`7PrccYYS)-{yCLmPeJUK1UYmTUD)Dwj z!maXnyV5wjk~q8KSi7PayMk!DyvUn5VK%@qvO}!%!)_Es*cC#36M zc`e)H>Q{0+uH<@M&G)=o=yk2g`+AAb^-@2TazB+yf7NP#m1;kg8b6ge1XJ+W(UM@; z8n2H|)NN1F?Ml||PSWj7)a^~s?TOXtiqh^1*XobdABi@ej4>OIHS3Er?TR-ae0FO* z>(N}1JFYZvzA}2gCVjr45ZBs_Z6BEHpPQRl!D5;7IO+m!er}?#z2;eAqT_Rq>sij1 z3h(}@)c${$-2JBL!4HK_*GrzNmU^mJ_-NPo8r1un)%o2l^}d(m;ZhhLgDR<+7{y@; z>l1kDz%sb4zz-}Eh8FR|i-h4t^3Wn>Xo)tArwtQVhDoc#>D&65~ zJ)tVy!PmNju674s?G3)#AAD^f`07CLwZV|k)?Z|+qZk%KRv%H!phof zpV4DHV~$y0s*oh`J@w94A|JFzKSL%&^}v$`GINIWOU6s9XKFi^kzXphPwH~}#`$?`kW-&zAZQ?}FP*qNT;-mYp zVE@efUPX^wE1r8aMfi5d2Mnj&oyrVZ%73+7_(D}KG#TeQm#zM6pJ}> zL$Rk;#8dKF&>$5NM<(Mb6?_#y&I68NSb0jBVGk}Ug&Jdmgx1ir0surp|FzTRWl0D$ z3-t(Uwh4?&poQWgT&0w&lyDScwgRd*0S|e9Oym&hfUX#f1)7Bl9f*juQl3i0mh%`A z5mzY_Y7MFYjW&bEk;o3UiesI@C=OL;06p*u>5(xPR0mCaKRl2Ejt-^A2hx*6+1Y{Y zOea0jh>ujF17I>@zDmed@K{ndQ^a5hm<$1fC1A3J9G;XfkPAgBfk+8fzEHvD$(U>j zjU^(p1w;;?z~*6D+?yDkBiU$`RU95{QTqp{ps`n`~>!ZPk;aX>9;SRe);m{*B^iU`@{73cK=dT^kfnZ!1)~_60s0>D-`co5cb?gS$qg&SUZ8yL)51yJMKWaV%yUhn>UYmT>rWJaO016pM^!(D6(Tj>X2YS$GbU zaM{ZH+Y}3E1$zRQhG$c8Yzme|#$2XD7|J*3Bs4S#m28-NO5SIXpd?HhSTFa6hlD)} zG&E$7V(2DRAP02o6SmpPmUyXakC?O9*xMlE-t<~mSgZK%G1?WqME22B<25qPL= z!u<03{Oan$7HVk^wSnEo;F&~%9KA+HjZ9BB)lbyqj(vz4Ee#rf|7fc6xcuHwS@6Ky!2UviaQErSa_!D_>nd>Xe&gBo z#tZq@r>oevH_vk*!)++lxffyAiLh!*GY7P%nRldFbf#G#0SL=3gcUN?vMbdJQVY0^ z0o(2r`)(+3;n;<6K&Cl%A{^RM>>&_NZRsv;>27W5?rrHFZRuX^89p7Ez8zWqM%prO zwq*J>X81y6`8VaU2~ti(HMbdr8xI5O-H%$}on5Et|&wOB!|Jd@)Q_HgFR^`tv zD_)pazA&qJX;S|3#`~~uq#_KW{MGdjudY|UzG3hRle!3#`bd+;$QwoU7{e5f94^44DG{pbV5cfl4?Dq{Z-!&M$BI^5wsB4W;H=3eNT4GIG zUJ7G4R$#$J^dt{0u5}G#a+?C>jL^y-LaAbykSEf@>wyVJ_y!&!}dvpDI zbNqU;eY>-~yR*G|vpxE<-3M~qhI3uV@}0+W9mlfmfnAKGSq{NX`xCE^C0?INys?yc zV6R`;yh{{O)8I$iP5TSM%G}_wdGo@Y=M8mGOSn(XO@OwskK}nqS`NczM0&<@JHE>m#qOkB46$ zi@H7K}VHJ-yZP;z4`( zi_X}X?j(4BX8u@7C9sRdj$zc`+}89udU+qWMI~c-EQ(ahR_mdVg`uocpp}DLp6X0@ z@L9l9?r-7ehNj!!R~E%a$K3RQ-*$QP#G@hHrz6(C4;C7!{?oCX zhXa{`H3@fe!fr+05BQLiHP=5XAoF!%?U$1;|Ia`EUnPT#9%&sZj+)L6T1v5BkN@jB z?D~3&<$9XKTBbWH$A2|9a1ru~`x9vo$Fd%b=H4613+_YQ>`L%zi}tBadhtFzqpGxi zc65nD;UB3_RAP;oBjGcJLXJ$r*GL6gAy3I=OSo*Y!7CI>pb$VLxQZ*lLvT?gP^$zQ zs4`TfH=_Mo({WkZaoHCOYGkN@zCq6h3A0A1Lj-|&Z zvXfKU>6!feT=DT-@#$1{aV$MO5Fcqp2P*JS2EHneLd22^m|{Ll%x8-P9Eq4Omx~!7@4fEDnav-RJUgLJ?jfCCFrWg&e1p zW0i7@Qnsg%?#d-QGV!)lv@H>BiG`bD!Jb5nlPM?)4OO9~DYSHjmZ8uwl{%J6&ruz4 z)rWjF(2QfT?o_HjR~~)Rp8R-t_VdZbuV)|se(~uafb)-kKf8eXhkyF`>u2BIi=Nuqo!HqK-Ps=A*&5mbYO(nTuh?8O?t9i(yHLxWtF!H>(N*5EiqmduNyUL&Uls)b(2_7uFKT`2)BW~NZ@zzjme)XQutoyXtdNjeSRqraI^h6o zq%mp%ydn+Y2ySy7sSd4hyB4@zYl=fF!l@PE(wYj58fi&!Z$)^vr+K%h`?hEJwPyma z@N3ENZA$lU%=Br__G`%vXwAFbmLJ$rc(*g@)2 zKwXl54N!}CpAT_f<*}Y+(eCe}+)E?fN+Mj}yml>m=ARbone@OZF3>tEz%>4j8T_t!`a_GH#}NuL+U)&n)3R4!1MSOSn;B9p%qtC4g_~6aB1~(b(-4z} z2$RN$8_kh7S|e|?McwF#HtC2pX^S&yi8pOdFlmkl+-Q!w-W+?q2@rF=Ir>I3kct@7 zR>&*N+TzXI6D&FsEjtpeI$+ivNj4qHwvb~OKpFsQ*NbrMhgw*;^k=#DXS?-hyZ2># z^k#YXW_$Hz`}Ak~4d&b&&I=gL2l$WX`HbaxjR4cgavIFA9nG+r%&?xxv>roP4kVj( z!%PO@R%2-n(^;f@wC{(A;G(dQw=h_9 zP2I@s;>_;;_#S2$y$hH?W9HD<1q^;+pRj-@ED}kJWb!hF0zsxMlPF6>$`YQuh$SuV z0~;YM0+-mqEo@@}OS|}G3~3clS)(vFncN+oXqPY9;Y)V~vTdGZ(@>*|qSBX%gaypr z+{WtE;?&q=|Hxp=Ao4?BQ(;dPqPsK(ng6sa^Bxj@6B+M;jCSe_x9NOo-W7JeC+u(i zum1bM>%R~Sa(ufFCujyJ9nt4WUQ=ms;X(O5xLYcv^6+~pWR|@l6YvA5XTphq+*I(LX(Rb za?&PYp>M3Sth_EAQ6BxWI3%Fr`OVg-z@g-OCb)ELlSm2Vii(u}K? zo0_kBa9P1&Jn|4|j0yqd;ak3yimNM^YQa|tfsOE0aDH7s^lP%1@{AizDf&UVH?;RLCnJ;ZaJsaxqsf;>kpO znOFd%LIrd}Ek6Kg6h~^g;ggEB5}`&YRPjU#j!@1NNN7MXctSF83;<6^;EV831*;e< z67P$}7>NWUmF!EU7@2h607fcBOT@b(5gK}e6ep46r3#`{NtUUMP{1lxQ6vhASV0vl z=~6XArr|2}z%gV8KrlXPPCn}mO)B(fKk81QhM%YBKV6*vd~xv$;M_3X%+MkHmxHsP z^(Q~+j(^e|{ir_t0=3jW{G>YksQOwuYUtnf`RM%1G2r4SL+gxRjN@Dl%`?ATrf432 zQX3CGz5?k4_y~qF5TjJ+4BfGGN1t_vpLP1rx`QveqaSrAKS{KwRH1yE%3L9k=5e@5 z3}$j4Glj!W<8gBY!V-~)B9gZV6f~ZS$J5C;IvvYkW0}Ty#XkiruK4!)w`y_4pS|Mh z2}b?+C$E6Q6o2#z!dI^VQi0zAUO~Vbykc*gxV=mGJzlX5#VbZ2srZ9ee9P}%ftqhe zO}4C!^ldN9L<&S5}pDdO?nS1|aru6Y-$>WhX z_XdjZ^c3FgDZJHF1UA8ah4%&u9}X5i8psdo&-I7;Q2^`6GIsNJff{6`J9VTxbfnvN zq}g>KY&ue{J5sFLQ!Lxz0ISYan=XVMBo!HsJ(uTRiy%CTUU?S1@-liw z-V3k%FrWNaeub}Z7Dok^#NB-ddsq|`l>7Q-`ZKTON6v9U)={@idX+xx0QDo7=Ix09OCuc#mYs1n$XMH+c$+?$Z9m**Ak}s--EJ@w;5d-w+@A#m!@EEG=0JAf zVD7!)yhkJXPeuwJjTGJ=EeakfzCBXxH&o;~Qsg#T7GdC)v*>+t0wAr&2v8(|xD%?oPdVHuFAeu`&i#ov>ONGnN_H5pG-a@Vn}VCRLBD zDj(ZbKCy!;L7v$)hFP^mSaw7M>^ovynqs`mfW^IflmmJDLL z8wXh3#Y0!Hq%{(4gU;Gy^R`&rO&V*1Lf@b<*Xi61CY0^D$rEq#C0kt4CY!&($nfRFK*%abe|M*sY zNN~gRM~z|6TOuMl;}Uw3(?@el7OL8|d!}#`8}vm2f0M)C;&L|_%r)|6|4e^rMOjSb z`|!}ZsK@QG_Xm<5O{ayf=Dt|Vf4No|wow$eQuur!@5yw|gXXxKxsRR0e9W>U9<`Je zFOE+VcJ`$l@yEkY=LZ+3`imp|DG$4c9%`9;51Y?>u$bhq6!AY+;;yeITdk)#ZRUDy z7vJ6~y}z7)e=7a%P;&5KTJT_2P=8KfPl_Kh&J%b=Jv{6~c1~SI>+3C1RdjZmLD_XfM+t{-7CGSD=Cvkya*v8ec&5DbfR=6A}S5VFavF zL$)WB=^;D(Hm~DAdUPZ`HU=weGelGw_N-85Gt~151HCM-A1&2$V9RN-9zT zqmYZ$DybH@gjRW^QyuHor#jWCR&fjj1F{;KUMkaxr5b@m#S<$zA~{PSqw^(Ho|wcH z;W+{p6+j({kXP^C(iO2^k6iu5PYptK{XG8C-frhj+>%|<^x`RU~3 z$K#V9508I5Fcf|0kA5^1fc*Tm5(KP29vp!ud;w28IsN(U?3au4Up`*^@(FU1Ur)~g zznq-?d~*Kt@##;;Kw3_|fG6vZKN~FK;w!)f$M;S6X*##V@Hd_kD7x|8r>(g z{*(IPv-;?>P<>1iNH;0WWdaGjH<`xaX7JcKB4M6HTq2XeFOW?#b%#X55NMEBVCl4d zIuirsS1|vWUt!b<<7$j!7(*FXc5zuPV(^E5=@s9)2XXIrwE$A_N3Zy!RO}LPz$>;(eM3OJU)NBrFM!rQ!FPI1HVHp)k+{9(tdK-ooyoHul$-a9dME^ay@$ zbbot%Z)0+2VQ^~YJ0O(pFCUnY_Z}g>V4>DSqSP~=t{}c#gb=JB_SiF5BuNU z?SFHBpy=U1-s9oC(6QX-kb!K>Xrh9gzyS1me zw52(=BcKKsttnQmaLZP>1)u|AjZCxc&T#0?a_Y@-?aguP&US;Eb7s1BWV*Fyy0>P! zH>bHZq`KCpxHYDFG$Fj3(|lSp{Mxc^wq^Mny`mw_s{!Fvm+D!Y;#rsC1*l2(s)l)2 zC3*pBVBWRK-gR)FdT3_4Z)2)oL#lrx0sxc);9m>(t4{K*O!TRU_cqj)dcBME1e8K} zl}34&M*0}NBKN6B{tNHIFu$VkfVVM$?-K5pCqI4@cQ-F0ApN;_@?+9-5^;Hp>YyD|iYpDG0q@`1D%w3)7NUmhZxC-bL7yMcM-1N7+F{+k>?{((XL~ z{86}7*=x)9uPw_V!LX=`u&9l+tdFv4inVTuw`ohTZA-LihXJf15&>2a36>D?7Hxny z^Y%D11E%dp!H73)PxwkAL`Q--GR~qq#;PaIsyD&1KgpsWZaI)@IhbxWkZ#+b;Q-}u zX1e!f`u1hr>dy`u%(*`V{>2L(4j0`AhB@*!Xr$!!Na@XyQs3csUPGnsy@jsG9GCVq zXC%V8H^q4%*?A<%ej?FkD#2nR(R?h)d?eX?IL&@I%Y7u@Z?f?AT=Bj6!n-3$?w!xg z8t(l^&3%)~2R0ubIaNM(ta{>58*1P5(xyG!5*cOL8Ew}QK^3QJtu zC$6E1>wCoYUBVh*hk)86uI`goaO71Y4MkocBL!tU0_dNoGa zw7mSG+XoCF&%yBZwaSFm=GSPNC!D>9-0wTeDBEftr(Q+oqYBt$= z4sJ7-Vmp^=Hjr<dy}};Etweqqoq*EejR!`MgK-FsHfK|6?iU`f8HZ zdb-nAuJ_KH+q>_8SKOUU3m!-c8bAaMWCrzT-|0#5?~L!B?HQj816OKqsyMUI8S*pc7E#2p_5+ zQ3^Chuh57MH5x{*_-Yi!FojVVfJ^8VCx^y<7vFfrpMw}zaSWv~^+E!blmd~E@YN!& zQp{IL45_3F@ujY44dYXFl7j=u;gR&{SO(PM=tu$qorWmR&y*jJMx@2e%F4VenrRGebK9j3YWd`J$ zbEWp9O7}^n`>fV|*62TLp-95#gTpV!M?ak&|9pP>><SKb`;f`Qo>a=f7Q?|9W-? z_{G4_r>8#wS2;fZatK8sK7vmH(17(2@Vi$SqyiET<1AE_?n0&gsMK7@br&-I1y^x^ z=Ze9bi$y$f9#5FX<7Wx@c_MLvOj;q6*D2I(DjiLxV@Y%ZflkITXjmw3)7Zb_Uxq1+ zMq%ui^?MV}uThI{z2aN`q!x4%nr47{#UH%_O0Ix1D~$1qt*`M4;1xUgwH@r@HhOw% zXMAgGWb2!x&8yT+AQcdQ@Cqbqsbg)iZEc}{dvhL3+M@{YQ~`m^B#}sDDv`n@Q+X6J zhen_?v1ASw&%j~GxE(ABg8^R|lfFZv?h;9R`*<{VX9KsgM3|XEk92JImaViQPz?#| zm64n8UaXbASS@|AT=IPOUFg{R$Aje$2TLCf7Cj!y3mMIOI+6Q)D(A&W{=>fFJIJ?w zT}1)i`FFZ=g1WMABeQOHX8Lwycz2|Gw5PeYr8>2y*tf!MTi`Y=a4SGN!lpAFI^XZk zcInA=>&-g9`>Lz zC8RX|UVh}Qj2Dns#NM@zxMdO(Xqs@>H2Hy9+GDfq5VO3e0F%7X>v^Hq3Z9!5y|jGu z%I58B+mdj*(g^#~Nc(qDj_;x&%Az3Nfh!Sqkb8s!!LWWGZe0;!T@_(d9c5b=W7iO8 z-xTlAl3?GKVAq}qu!Vrxb|eC9IumW6^Ns|o&IHTO1PdfEhXk`u2-D6)(@q!!GRZ)) zX;+eIH_WUj(X0n%)|+JBn{3_-x9Cl=>`S%kO||YxwdqN7xWs$#tw&#>XHTvdGSjCg!>2FJcM#z>itwCB zb(u=Fhmt(gEQZp|1~M)CvTb^E9ftB;$Md`=vb_7_?c1MSZ@Bxnn&4}dK^7H3HkH9P zRrhS`9@;dAT6Mgz=z4A08DZBReQLhRCF05_ud) znMPA*cPTSy;>3bpA`ZWV#Q~Nv*cA*8g~6|52$f$))I-iNaZZidCN5J3Wbd#F;QeTipoXN_$Y=D#T291(p9z;tSF9jl_^}Ib62R$ zB|LF)Z+CtJHN7}JJ~=ot*fG%4*xO!(Y%Fd2klyq*x<2xw%=@hw!R?5E&SdYd zMAx2phrU>wfoSugD3j5sYvWNrOvYTBiM>7-Z?ceRz67&cPPSQw+byNoFQz)qr#j7~ zx=b5M0XR>?ou`wXfSF7tLTWJ@>o62$-yd$*8)n!2!mjg~T}P-xM~G8Lh;v7XYiEc@ zXQ&tQ#cgC{C^8{>AT4dGpm^nd^-6io;=A(MHzgxk2xLN7eb}wGh?|26fpcm1ma`tM z<%Vt*yjUv?TP_HjD+n7%f7BRvv*e}oyO`jL)adGhg5l2IoprQGq?1Bjr}S#M9^B&$ zXj#B3M%orD5%YOZW)q#KU;bqw`o;>(dOh8FGskPYC}6uJcqun%0vHAGid3Ul1a?DS z;Q@I?%Ili^!j{^u^@SZ7PyOZO=R?)8OrQW>A^PeSVyJ_qQY27Hg(`&*G71P0#2=(W zq*aNuN`qG@!25mvWmyNSMj;1gu*1kyZsoD!y{8Q=I^#(5s-vUwY+vVG7lB zfs!FmK|tL{wH%3_Cp+ZJjs)^!q5N2)IFTt&l&Uk0_M=|^`S9?^lS{$)<^1f|i*sNX zfBy)r5a+-yPJTW){_zkx+W4r^ovU?cDg$agq!!x4PewF{pVS8z&>&R(xk7s`SD(vN zXJYlKP<70ZsL)K_GL&3_o5SK}@i^cWb40=di3oWGmAXS?fOqIPGLuMTQVC23p2fzo z*m$Vl=4DWV_cmS=lGyNL(V3McgM6 zc6TW_43kda3urt(lf`D!=^P4)LB>*uJ9sh%PY2JVlV~(DkwV=k(eMN^8AqV)V+mU* z^z!)D405gS!*Wyhd|AxGyYR(#FP2I}X3HLrzkfJfaewID{ed?R1_~Yw7d#lte>jo< zV7M@-zxZbN8=syc|DJ-|-Fbmsxwnxy0i9X?otb_e89wdlUTp}E)>JpBUlZJ^8SdBu zcL1i*kp@+N0Fmg*0l0K#J9lI{v}HQBWV$qExi@6G*QLAHq`K9lxYZ#%>eIX$fmdYu zw`JdK&kktI_HWJdYcZ%r6T-7G#iIf4S)c4#2lJ{;^sI^Ztd92tUQwCo4yb~;S0@2H zYLY!_;hwc{uUfb_gmHK}%&Q9KRhi%k%}2?M*f5O}){ZaviKaDJI}bH{85C*`hny3YlbyOtOGTHb=ru zktrs~RMYM>)9!Th-Yn~Z9Q&bsmytrxu{XYxB>`h^{fFQB3>16y7x?z&1@va$0XK+& ztl*){yQ5jRCbE2|vfajV97b|12eM6ib8d9yT`G)}Ws@s-z!Imu#EIUIix?fm!zP4?TaB7bBtcnjVO?pvYl-}9fF^%3{ zVzcJh>?sy!oX#D`bH;aB6PxsjP2%|G{=_zVY6mmDhnYbG&@+4J**)~!9(rL9y@bZB z?&H?6gf$##4NqCaQ&$O$Wg>Hd$eJT_W+}W`8h@T9SfUA5sr*$6f5pHOg||rJ%#%2C zMD{F^1(+c)W(f2-0(~A&UBHnSam0BHZVu|owL81LGqbTdi9+>GkGAx;R<)K@)fZG( zrdPj9tjT{-lNMZ?;MEZA(EQrG{l)h^FaJ6e_U{v~{`+*qUlyakTZz4fN-$f4S*<7A zuEQNrDNZXX&P&Nob4gCKiH@@{fYWS}0l3o)9140&z#PUC0ghww4r6f+qp|iQG4>-- z_QMf&!>{cIU)uIRx9JVF>U?6`^vJpDfk$1)?Y38s`{G{rCxrLJyy%K}+8z0zJMvC% zr0+}H6w5>``%jaqxJmIrMzd;xz9&(o;M~27d&%|y<=JwAA+nbLrtv`&O0USYGI?y`~XxmDo5 zS$t> zQ*QJMXo9&&EfK5b;4QpZ3mFAip$)XEjT@s>7`y@sL>RIrWLL9Ifm#S5kx*aifnNPh zeuXh)ag|)5F=TcAOND@rKSa8#qm!?)aalTQJQx3FDPp#pp)qE)3R0);Ms-b3FK#-(*U=#(@XaDZ%}7%X5H zTU_1_U$7?>?@OdOnH;Pbkz`LG+U7#Bjx``2Y#y2;#B(M4Ea5JVzeC~fQh0k*9-79- zGDQTojKourc}gl@MdzzoLM>OU6-o{y@)L#X+-MgE2Vahlempz*CAm9lR#mS$t)U)%_4HR5L}L7J_w7< zXOjNKsmGr)HjP;m|CG8({id_lSG$0`!Z_j75VfHG7ivKv?2-+T2s==v4Q908llrZDMvDtVVc#gG|928+(6(fCBF5K9#i z84@~I$`Q%wY#xz9!C?2-=f>uc)uZJplVve8WiJ=rJ(wwbFj0PQwBqhi+1>uP!F@$R zgGGTOP(#jJ;0^4+8=t;6UcE(ry+yaW^Y3)!-9hHw>I7<$9nhJ1vm?W=4dL5{@M(p6 zx4=D{;qEPPx7Jkmc7#VqhFeFbTSvA_N48U2rbA1HO>??!V}?^*mRnthdrg{qb*fu+ zidzlBqb|*>A;YIR%fBrrpgreSdoEc0+p_#xGkjXpyjl=m%_&|@aPP)s?|PVbU4l3G z?Om1N{vpAwBHpzk!SzFeOGSdqheUvDCCs%7=2n&HUJZkkqbd;!YgEBJz@{nz*a&!` zS9OASb%IZI;-yz)K61`|>QNZxYxIiBq(`-g(D#Y=i=u94h55ikT!2@+zGV^>Xc8A} z0=sXL`UvuhT*xa-Ag>7d0c>)gS>`{tDR^O5_|m@Ul|ym3)0;@=H&HHcqg_j)-AZHJ zO27t~Mx;|oq+8F*T*_F#X7Xa+PB2pw?eTChmJ(x z6$Z6PwCjS|cEN1AVb(o~Ry{Dw?j-Z>B(v`1E1fXyLzwobnf3wF0VciaracJr?o^Ae z6pOB8%dRA=E|^6Z%-mojH@cFqb-};uPWi4o_4^*g_k9^A16h_sId&uY&SQlh6UDw` zMcyNYUPA?5gZci0xwi*%?hfVLAI^R-lKpTzH+VAt)>MJ-c!Aq+fn9%rMNhtIXa4o} zylcp8vz|<=-c*~;XtS25Kh)p*TTS49dQ+NnbriFH{G}B2(jvVVbl4_ zz9Yi1IohK(?oN4PNOgX4FS2f7V_}_)Tcr>esgwm0eICP{-(t^gFlRTZGh4)&ZT!p* zes&K(vxl4B-3N{_wS%7CLC@>}yTB}Ba4T5CDvpFAP*6nrDv7a7W-gLh3l#P|l`~7@ z%~N?xRNg9uw?gJElQ>I6_5z+cho#T%Q)e)gDGYfMO#9cMNdZ@!RVxs+hNoM^KQvt3TI11u)m&L`N+CD_a-+AhHC7Lx22k{#yZj&pFw z>12n=B)bWi-DHx(RI($K^O@{4o#Z$TbDU0en2NWbh_M}wuo`-0-t)}7^|58`J?pv$ zjxC`c$grEpmp9v=`?Q97bUbtKedRtBDdgSkS7B-ERE`bgG296bg$Iq z&gDO!jB_0c`O8%JjfDgo6vAaa%X2f|Z>#9mV)pIv)I0sKzyUd<}qn4TD^!bQ*l)_u>(#)rLTA zD34WMsfCuW)^L?-jzY;*g6ndjN-k6@L~8JTY2*ib_3@$Z?D+8F^!W4H$>-yvkB0~6 zI_;@Ob)=FXD5cOyHI?i@Ej!XFjtyRM3Z&vtesmx^)Jee?qf;ADNp;4P6opJDm1;#| z!{LZP&gRRQTnU{cqOt@e29H4F;3%wp5@VM{-z3vf6xte%vB_lbaClJLPY!pJ4N1is zgSkp)tT9=e94^%MQy|a2 zc=Y4R$4EBvrUu{u`!`0YK+$|`YtlTF4OCIPU8d^V56VbhrmB9)3J(e}x7JdH_a&`2y2iH#$1NK7Fe z{J&CY=|VY~CBl(88_UbHJ_|k@3hW=c#)^n9rNYfOm00A7Bq_QbWoT z?-xhi&I$8P32})t#w+gJh!45}yL%(`fl1~Q)4Wi#T%Z#n*K?m-%MAe!E%KgP=RdP8 zcy3ql(!Mavq4>2^ak%r_2$zy5*HWMsQNSx)N+SWzr4df=A{+r_5su}NP8E?(AEKPA zqMfRv9O|O%>!WNNqHUXEY@1{4TI1~6;_cew?KiBQO*JJG5e@(K$`Et1W9 z;O4z4=Dn%reF*dZH1qy+%f1ZjzD&E`47;9m+nzMrZiG!wiggd%suynAmu%6WY~Bwy z?N7PUpK^U5<=Q~%^+Ck-!8DVhbo1d1s}ZQ3g~M2`^H`4SXpY-hw&z&3-&ppov7F%X z?7QPR_r`PXPv!?t6$VZf-x@FW87_7kc;nPt?9g3o*HvuSQ{dQ_>(ZCu+8J-x^wO;M z(GS)4|D!VKFBNwH-&F)&uM9S;e`MMA%oa#RXSic$q*H5@TYZ%8hsfKtDbM>VvloV& zHkO7rQB#{6OWT{9dmC8H1`WN%+Sy}o?6cRf>{T3V1;<>((&x~Wsa?Xv4sLuKJG!+$ zzP&%Si=RUi7O|vdJOxFfp`hQH00xT6Sfw#m=*$%=V}(Rt!2@V3IO;N%vbaxPz>wzA zMDRkWOcjDKhao~>N%J`J0-mx!pe_(;KynsH2FD;V=dpz8-JQwJ)v5KRDb(Eb^3=ra z(C9dFXrQsbv%I?@A6b>!RTkS-{IVQnJMo+-fPsW+}yPA;oSs*>)wD#>ozP)ITZcbQFbnN4+_ zOLd!1ai4{|O(i*xCpeD8ISxfT4@9~SM7j+|yAQ^C4n({6M!0l^IRJWIJM@P;3`95% zMLG>fIS)m<_Q$yQ#CUeZcsEA-RYeArMcgV3zn%RmsJS?2d1#zR6iIuaHu;!JNY7}QV6p{D~(071z}@xZvBt{G8T4yCe~^R?zEQSv6bhyTXbhR z`_3dHa4AvZdPVeIME^>4l6+pxw}dFhor z{7a0bsd7FP1JQ`}UxB>hYi{QyDky59h1z!URWd%*YC|bdsfCbQsQD@tSE=I2p&V4G zbX231Y5^*lPNO{3YfcXJXGez@C&!-vhX)rr-Kj=>tWq3+zXZ8h^K}aRp$@o&^5jr? zav(p_OAquCy;iJ)QdmVAwOFf`Xd%Oq>D8C#BU*_>BNnTLBBel};PGV~zKq3{FxVnG zOGsl1NK8JC#lt|+2B`4`mM_F``MYe+7K6D#2R}8m6*2`yqirymTO7_dm$$>?Lrukb zJRlY8Y&P(UH5O}?#ad%=HrTvPjsV5rE>oG{CuNaDUou!d)HH_1S!Y0VeAcNPz$T5m z!{G0+1URmQEL6}X8irKMmg_kRy+Cm&Rvt-J#|q7pWY-HMVvF4PoIAqE+c%Ec~%ACRArZD?6 zc>Fw>v_K{;l8B2$;wp)}MWJD6EIf@(0$xGpFvwgsna3mXd1S$Ve->RehJ-q={#$K&WM0)>IW5_WcW(fepTg-GVo$vh^B!z8g-WIBUN zq0$LtIu1wMM}yzO6!bO;y-ffs0Y|3ODO>@G&LQBLxLxYz?CgA3{b*I%RAtQkho>v$ zK`ZZrm*3x8F1tVTE@-Uuc7Msufp`7`@BIcVe23l#j6l7!?hY0Q_Z0?r7X$&X=*qv1 z%)8Z<8_<>K-<9jvmE()d_UX*>>d5qL%W!W?cLzoR_8pmCM%pvH+R{B*5bli#w}v#g z+H`l|6*cJ|H3*MdglAovS6!NSLps#3qAA0_DZ{S`+ITmodmGO|no>O*Q#>1zJ?oM@ zY7^b7^0hNYHsa0`C zJON+5!ZG`)TYi{#apcX?*uaX!2h}N0$`bCqiMpNp$~QH{HU6$mZStPk6+E{udg)LU=J@ut3s8&F zD7Vr`XolKXT*@Mx4LFs5r6SVdLxf#bgl%=WbxnkIU8HqGlucu_ZF7umORQ~MtX+GY zZAXGlXM!~{(FzH(?1H?)q9@s+2X4`uYSD+V>`$`}(lEr(MqMpDg3Qq4vXrlYAQqp7B&(8hEGVP?2!K9XiJl5RDcZa1Fh zJeBS-mEk*`88DR-G@TthopX08=iYQd@Jw;=bV=|;$!%bs1Mj^1OTByFdG)>X?t9}q zP~_L2-^%a)kN0=KE5Bz_6Jpi;(xE-Vxg*jA8SUI2 z<%vIIpG zEbMcp_GqI!_7Lup)X zPH0Wa?fL|drYPIC*Ct)BzZ(eu%V@;EPsaRpHsNmzN#8FeUt3POv65=Kg0NUkwOLBF znNPNwPOz9tu$+R~%p^O^q&Uw4ok(+E$naXs@>$9DU&`^H&+?tg^q$T1UdZ%a&GK8y z@CHwqN^u&8*$>Ct^haCtMp*W|w(JhGLcXx9oKhc+hZq@Ni!6aDGq^0`iK+ zNUz3J;1wmvrortM?0@AIQmBo#Rt|XukP5v@riWTL0Mihur9zcNpp+O=F95(a6k@IM zo@*H70kyG`8-|?9zD`t^|H&(WBpAn}{u9RQ|Ag_nm;;SlRS16Xl>xj$V{Ef2Gqmr9 zR^S*=utLgL8UQa*Kp_jES}jnkcq%1Fp#)wbP^o}UDD-Nj9$FQ8t@=o>g}mbM@cj7r z;^^q3UVo<17^OmI{H~#-P(!+@PIhE$D5{qo>Lhw75+c-S1mIJsGzPWM0Mn2i=;Vi5 z#UW%Da_~VQ!H`KbhT$@5kys@ZLYg5E$T>neLnNh&rDTzWB9ed=&*fuS>@6C7gF*%O z+$B6=l}uivQa72*O%`jD&E8_OH(2a-77N8>0=3xSa5lJ{4IXcu$6wP|I%}3f z2h36E^Hjz>jky59S^y78v^fH0o=9CJ)0e4?bp~gLBf#(_7=aWgmgB{8qEJo|$Y}xv zORVO}^+MI5M0+YfI9D8fR6^CMpHxSmm4`+?8Id1+lIkub+H;ZmRG>WO$qx96BZ&sQ z>Z4SD&Q~2VnJ~SEi{T+_l-&-%(d9*5>|v24yRm9{}3tP=_A zRPq{&y3V3+GU!_j28PZc(Wy)-g+bV(?yZp5C&_E$r1f#~`Z#HK5s%%$l1SKnB5sR- zTfuFQPb_s-Pu8T)R!1#YJz4*7XQMoDv+Ukh>BFVcpsCVZgYSF?Dt!8@eERBq1}g(c z%N|XaHPyc<)wcoRU7O|syrMSUqc+X6F5SC6&AUF`ryXGY~$t2yb8)l`!{;1lRX* z&SkMqWigIru?}Uij_+fET{u_7xfpN*Kxz@|RvF{|AqH9jSMds?R}@9~m&DvDPrO%| z{HQGc?whDPd9VD^LR=H?*+vDJ#@@OSfBPEj&JT#Y*Rvj&5`i+`2jfsD({!q)oj+Et(8!(Hdvd7H`v@VBL{u)d{JERacT#cd}JC z+^Q$lx))*Hn`YgYX498p4>j)2_UOxUhi0{;JN2j852V=+BCLiHmZJ#EafHPLAkBQz zz(kta1j1|_VK#;^8wF|sVLps7A4S-VBb+9|eJb61I@519D_|zuKu*AH{;k=f+p}+P zPrbc4{?>Qot@lWY?{KN#aH;>u+knyH+rvOR;U0~V_Epc!szU!(`S`zmc=&&o-~YF= zyZ`b2o=J6xRa2N_d!%b;6yz11QBEyk_H|Efo5Gw2Q|>IjeX&)Ou-BB1>ntSqRWV1q z`O`D}r47~whKi<;unatwv5#ZyVCg6fZ2<~dkjHjNL)*mR9pcy?c>+zH!O|A+v{e#) zjZE7hQ@1GKEeUChLfoPfHi&o>4hI?C@nMCU1^J8$)9U*H(LG$2*3REgc^k zYqIM~;_CCC)u#tGCVRHQoRJAOeF^3xFtf>I)7cagz+8&Se2VEpiuq!SlhR>SdDgV8qq5zyS&&ga&xp_Yvy7PU{zE1#IXe{5Ou$hPRAL)puK z+Jt9qnXvJyijDqJ8VbwUrZF*GCPB(2NrhCY6uhMr>5sJ^Kb`$1W3ow0)2r>}({G{% zK4D?@BJ7BQq}K#7+!sH{UF1RqKX zm5U0La)C+-q(WpYiB+qhYFVX5s@18F4)mvb-HA?n3;>&h14t^4jxLUmKOP-_JUBSl zYERXwBcobCO|c|8we+%v#n7w#81f3S?$Rp^Xu%#_0kR>5yaJ$sj!qykGlqSjze!+d zkYhj*A&E#O6e)RP1zRF#LCBb58C4)6a(Mf6)*h9y4Ssw`6!3O_htAkzv3FVQZJ-=1 z_9m0H&Sb7J7#l3s7KgLL<8ASH8$3RW%U@=(=V^=?GIf>$pg~Y+b5uH5XGoMOJaH0> zpTrZV2qf@uk@o*F_8weqWoyFb516%P=9})@w{Dfe*e2&BayB?;8%zd+iINbAoO3ie z=bV)R350}lj^v!9?ee|-_1E7In7t)TxvKj1%v#Ud>u@Z~lB&dc&b!|rCP@`D3iX_F znW|c$saEC{D|GoXL%s}5fVZ+GTHlp!9Vqus)CXrPhZn1dmurVtKX3^-xLDacU*0`~ zQn7ig*f;_!aEy(^tJQ-G`OcAGeV3tHC5fbCEcOVCHNoTJ#6rACfamiG94>{+p9i<& z0vSgj=kw)4=oLyC+yPlu@RsG8zKh|MHiJz=~WKh!!qJiN*t`=SDaH+6ZTUlu0Mh7im-` zhc>%7KRvrJgr{`0;_7q8%05h%2H=XH5{tYj1-^5+4{6y?2-$vPIUapEF5SQ@%A7kY zUAv0!_vStA&wSmJ4!pvz73s`m zU=cBPkXV3yS&V(@N4t_}yW$VFg%LLSVb+Bawk01O%Hv(i;+;!l9E+n7g^_mo5jMGD zR=J@7%Uoy|Rs~^Nudvl%R~TjojG`z6U|R?Xw!QX>XEsT%>{B#ekrm?S)bL3!{uzCYi5Iv)-C#zqQDIXOZo1nG;}{>u-_gZ;>Bhk?(I_5CAYM3@|Tx zZ(a-tG%F4?fkh%gCS^e;<-sNuAtsd}rd6S)HDM;7!c1y!)FKiVi8MzUH%FT^e>820 zHEoGAZ3V=ewI!IfCt7qMEjtq}yAsU1W?7xM*%1; z2E!=BA(Y`D%BUX+Fz!Vf_aV*uQPu+}yFs-5Fxq|;Z9j&#A4k~&CX?)@QtYR(_7hmU z(G;8EWb2Vs`_VMVu?&~7bocQz&yi%$&W{eC-kX=cxLfl4H?PR`{W;H1uk@Kw&0EWc zK%3@Z>()@q))4asf1{dL_v+sn_D0*{u%5GdkEn&u=S$zvD?^#JiJZnPZd)0zyN)-| z$r~NuPL6U2Q%e*gojOZhpp&5ha3+=n<1EnxTQb3sO>yMYTp6A#C2&MUHlM`ekd|0v z<`NlvcbH5flZ{{E;g)!K4TL2wkp&^KxMVh$!sgCs;Xo)HE}6q6K{&)~xBx0ozz~YL z;36wi@Dyr}dUXlhb}83sinSTpGEt(K7Dy&J+=->d(fOG{!f4-UM`urUTXSAhRZ@L% zRDE7Zeb(E?)TiyqUOgy>{sgPOIP=~ZlfEdUfhfbF4+g^#`a@xNhC*+ThTfitxQmN2 z#D6r##hT&bEO3d|1hhRd#fgY@!Kb?7(%kUr?xb}0nG82dx(fk|z$M#ECRvT6tVWSm zqwzK)v35hz4*d~`o>2SFK--o8tA@80pI)0*y|SoyWnKExw$k6dHuOnTbU;T^Tz^j1 zSVhfbUE6fa0KR*g(np{Uk?5lo-YiGKRjsS`#EVOe@c~kE@mNk+Pqa((i=R8*-0lsy zHymP&i?*RAx-gS{$S5D^6><0bP`>?GKj;;4u5}@HRRM^qSm+fkpP*N4sSkfW*Lub7 zihO-lv9+dz{Wdq2HSr2flS%DWRqGYn7{!lXu?eo@YX>({aibPmuK-d3+e*M~kppdB z<;`ZtpOY(Y_B(D`asC*!06%WQT36T;L)*qmQ*yGubNvi(rv_ZOwVO2?aD!$K9D|d4 z>xTy$M~9n72kVFXYx{d^`$xMcXD6R8ufCn1e?2?<3|!*m6!7`v?DOf_m$P%gS8#B0 z{Q2nc>hR#=VE_DZ_v~;-!}jUn_Sqqjimemi6^HAGhigBuesly+f`991f9((^UBEf8 z`!M$vYKcZLfTwL7!Y~N%ishXZP1HiUysli{P_AyOR<{%@8&dU}Sg|aSt9dddTdLs5 zlw5_Hr&?w!R7|;YQLcc3A(qUF#8ioNK`viZC~2CM43b2O7mB8M{0Z=XK9@HE4z#Q0 zV2sTfUSbU~m|z`Yb4Gc*DUpaElaUoL)zSv3D{uscR;mZ(s*(JOlAfLBm{?-hi0(zRD~&r-T! zRS2|;wi!ax%tYPHa64^kd})p*;Ltft8hv(lW@?5qPM#el&5h2`z!T3dGMNkpV{u_& zkxFGOP}xi>mrG;w=}gfQUBadD1+#1sg&`pm=ZQn(_}13x`l88d)Ocy&MDgp%!pD;Z zKKQ%`l-wt?InN0>5682;2D9Dz^WA!i-MUKMI}7f2WIygmf7YJn*Ouzhigg0CXwV+F zX=qJxYE5=*!8kT0IW(aGj?HMNmL!+fB-hp?x3(m=R6pA z-Gc5%8n-uw*mb^DBd2e14WL6SnS`q|{Ps@T$fmf7=Kq^8_szObwLrrR+ zTA0>Fn82iqNYlnB)5d7C#%S}#81u$h^QKty=2#0jST^3YBhI)x&bTMes5j22Kh9tv zUVjjvHHw6LqsV(>X#H`t{shJVFpe=COEw-!HXTYf8%P3}_o6NOlB{|$HoeKV{TS=P zB+C($*(l0%9BDL>XfT~MmM1nE6N5*692q{j46juV)a~k8-8|6^v zZ(jQBZppKsN}m2-#ZUf^f(QSSd;f2FzIvrk4Qt+5HomuM3AStxgH@T$0e9=)+-iRJ z%Rr<)9%(k4YDG!2rli}DGabn}-juv&)WU$pk`J5;6u&N0*j6O!|0Ec1=aYuH^Cafd z!UC5wtLbw^607jy6})f-$5-LFifNW)n#sq}S-1rTjz-7PX!wOiJd=atis9z31|nBP z;t45y;S660Z_W6^d4XtNAY2fF1Au_a2e)jzSsrJG%K}h10HE(YhCsv?%h?iuk||Ry z%GC4H6`E`S$v`&0g{oMks@CSz>+{R&^tCnm>gt?aLKd*6m#D)tlid^DE&cWN?G-f* z1=W=)_4(l~X;0fx?yd2TP0`lP5oT@S#vP&h-9dMHgLDUiei;q^WhzXU_~8yI`W`XH z5FcZNk2fVCtq93>M63fL&6$wtM$B|0Ww??uTu2$tgmiGy9tUy2r8?n&dn9|{lDsDq zy~krcN1{FZBV0N|99qGLA7IxKfM^bIY<}QFbit!%6yvM0{H<&94JJH2lIdjo-n(~(xxI436B zn~d}xi}!(Ef%ffB_3KOXZH;rS4F&>ZUl|ji@roYc6`QKVuV?>p483A+Rlc#N++J5f zsn8@y>}iq;pk082n_$I{zz4vF4~N=*+W*WepjxP}6FYDESNvFK3eeVl{OA>bR*P-e zI^*!hE4Ea-+t+0s8Z@)sv@aEwv8*5LZXE7!pB(O-9Pgf}1MdEn#(W%< z73%F(<>rcFU9DJMQLV48Y^|^Dtgr2^uI;R@ZmR(+Ksh!PE1QtjE%EXiU#YPRshlpB z(uCp#v6LZ`vlL3YCMAO?5a7AoDK>kO#hPTptjGyAXOaV%V6(?qtYHRYXmN39i8;(+ zjqo@VA|XyDB`D=Yr5vmTg`6Ol<7F}cQLX^KF{4z?!DP|3#npA@+SbzgHhT@iS>5KY zZSw%D+k&+n(b}G5{Xn{YAlo?9I)-u^a3tN>=dNziRVy=6`IJC3%w`XB*b@RiP9h?T zL?nTb!sXLoPNIa%mkD6Trb5hBNVzIt6f(YA!c_sO5VAD+mYVfOE&g0Os!h)PLx1n@ zkCgl<6*tM5H^(hk=?*39-1S+z$LY!Vh%rY5Olon1o}xg%xh@v`vA(w7rOPsj2f4d?n! zt{@)*kX=qvE-DfH^dx!;oUurc*fbE;Ph*0B|9-HNqs0i@Ws zzyO6~8!(C#=T?jhpat#HgmTu>jCKZI(T0IzDLPVII#QfFQk>d=c%U8X5)id8vD2vm z<|KSA29V`-p&{iD;YRXzQYAo1%|4g;6#IQ8xJ>Z1N&)awDvB z!mV>7Z1W-!1yN1~QH}*4Ao-C9NQ8Y}1P~1S0-zHxrvgzFi6{(5K&c3`EBLMxfc#+l z{O?|YdTEb&5w1Fs&VP$_ zyM^}D#d_aP^}e0vt()$xlYU<}{efQkqdOY(U>xJ|o%APnGXPKZGoKj%!N>xF@zPM! z{o642m0{j%!+gyw)S|aW#qW$u{Y^>(OiBYyN`g&FLV#D8lxfhYg)vZzO08Oi0ktr# z4L7TcFsqL=Z}?!|5M|L2ZBhTxvH=id*%)Kl9An-ZW6}|0*cEHgqe-RchkG1%2NU#$ z67_}wNWBr{ol*4Nv7~$B8mX8_HX2JY8BH-A#+nVMm=C3x4M62Zz)rq72DsV*=7>I>B%%-Tt)vsRp<-w-i!Xg__U&1lDIJR(_C!6NWa2g1F zDM=tD3nVi_$(&G16-j9#$-GFcK{PJ}2x&qARluJU@a6OUq)C5-;V^6rZa5WfFcoDm8Kpn< z(GaKw31vyf*v?=b=F*+187^~~PP3VgGno#Q3f96J+!gHF8RXF(=vD9URq@)h;DtxgyQifgft69Q zHL<9=gp@{9Mps_ta9tO!Z+fb;d#dHrL|x8MPDppGYwNq)o&I-v-|G(s8BK*-&3tsE z$Ga2bJxAiad*gljlAu@gUVDX2g};4O?EC7>oYvYtDq#tF#p!>X>|Aay@2@E~;iwL9 zy zi?hRv^TUhNgY%R9Gq7HrfBp5>|M`!9|Ic6l{vV&e{^RoVxAUuSu!Z#nw2Sl0Z|Be} z{tgF@U;aB-ufPEijMJ~DN1wqH9`2m(Z5-~d!$`>fI^6O&+&DhkJh=hCfZXE1xLbf;dw>I`R z)_2#}ch=T-R@Zk_D_b)4x=6Xgm#f$k1ydwtN#q=vlBZC!WQs*-8lpMAV1~;hvpHlA zm(11ltmE>C01g+&VoxnCO)N1d*{n$(XG*BKzRM*fg^Z|>5@Zs*Oo9X75vgQSDw&o^ zr-5L|TRIag=>s-|)U%f3{*%7bqN!B#1 z?+I47nd()lTtyU1Ciwh8HhYM}9*6M?AweW0YhEgiD`4`(Jibf_qyi=^s-!#>kO~=p z861n)ikm{w|8g?OkNnu&`wx{PH;I~m?pE;!uh7OT{wx)YSvF&i!Pz!Cm0vLssE-I;=Hq|^o+PyG2xk#Zh=ycl5 z0%?4HqI+SyV{xj3foo@z2KloD$^0UBW_|%jA&uf@iIjy!`jUvtR4NwNHs^Ovs4GV^ zl07ne8%Jb}_4N&YDjKfBjFv@=7rz=Ud^VK#Xdv5nH0RM|?o)jJi>cfv6WM;FS>D4r zK7)Dp`|^D|v;CUWAJk+08nK=&Ff?J;3II}(f@n=~Xiag{L@Jyi7$6c(O=!m^6bxB3 zqa9n49Dzu5Bs+DcICiEubYdOalMyXwL_;E?KEa_O(YX=n+K6(~l#{sECBW>9%2?;} z7{{_0L}`p&$w!-FAQc~N3ZiZDqiyq}Z1bY*@;=z*egLa|{s)KrNGA=Bc@Y4Iya)s! zKLSw@;ZXQH5CviO1)=u&A$EDecDaBcE!X)K=vN5L8%M2IWCVF;1Fwki%MJI<3B8{c zS>3gHnAmh>y z<1#=nq#O`pT%qxb%IlDY>8EfrO(Cj9{RhkXD9ie2E67Ld28dPTN6VIvrmY{1+hYwo z;|#jv^?MTT_9p1{A$9tZw+0e#4Ipm~Ch86$^@fmlhf(??Kp2vYMlr^t$tI&%lhIU@ z(KKVgaE94nmSumo^+3A$Al7&oV=$VeKY`YtLhIu(#-tQ;GS-TKF`q`6Ou_Jl2?=dR zNwT0M+fY&v1Pr1#%Is6XouX$y7e4xHq2Iq2-v5_kpTCuQ->&pAsDEtI_R_rbon=RW zMSGB0OQ2EhySwEtZ&kn5?T9iQPqrdt+TybG-W&~outUx>m5Q^tS;yJOH zDv{6tQpti$wkTIH6-tIe#Zami6)L(ywIEZ@%ak-Na^*biqO4v}s%SFBj95w*it$|j zB#R9z=;_SS1;z-KHbTaY;0A}r+WY%!yE{wUo3h(#FfFAqE&0JfGn$kAT9EGT@s3?F zHoej2eUZik5e6d>2Gh~Tlvq=0q6GtO%}KH6q#;-t_Ka+MdX_yc(|#`9ekRqPg0&~5 z*preG#AF8|#u1<7G>vkaN(8u0CAv=~dXC3>j6{DIj4iOK(NthsM&P5 zH7OD?8|5_p(QPQ!vnSrCH|c&~s&8-F{nj`a=oJBo>bRiV?EH>~!FdvAOMUd~*?*kw zUhS?NY$&!iRlBh1#PX4*vSaUBA+FIBfWRzGxWBNiEk0d`vHjikBLI|&)kEzl(%-5= zZuq@d{Md}*rg_DWDV;w`#czK_GZwFW+rZCDPYX@9W|+j?kT%-VIW z3TzAxUodPv3e*BdTA)WA!Q|4-69D+cwpM|3?XIb|*5w=P()BIn=HANg(Z`v^@)YOz8?s zzRFRoah2;l^#&X0y(|83J zw$POF)Y5COP;0$Hs||m4hCfKf{~xaa{4=lkaUbM+yy7<)u!A=TNCj+)MP<#|Ec>O!o}ze5D-%(n=<@kO(bAdd$@LpXEE0`(PyR@p$30(flVPxsQgk z9}ed{8qR$*nER+F`(bOwgN9VUCah0eif4O@TU#=~wKc`HEyV@UiggBR(FO&>p&4V} zgt2W*vT1_YHe+mCF?Q|A_CP1JYa0f7MPnksp%LlagmeXHy#j_TfLg@6R>8bYr;2#T zvN%L(oPANOU15xU0pKH89SUO|3*(#%W1S15T?#(9EgM;fVZj zhx~9yKtaSc@Jtv24kHV(%MP~74utc_vfp3FE0SI#lHWR|ymP?@xTXWI2)*`-+%Vsq z5TDd{&d8_MAAOBKc-)O})(La?Dcb4hc$c5iuD6n0Z(&@2Np}4i9R_q&?8hcz8SG5hN4vSQqj{H|vQ`&NJP-=eG-9=oP=bQ}X(5 z+1q=i0s3V@hGii}*J!;W*tjCtr1CmsVOkw#S`%*mDZ;!q(y}hns{VsjU6gfQludoK zZGE&&!$*L1(?|2>k0!0LMw&Vi{mw+au0)+~)ZcngKlLIZeF;DJCFu0U>-8tx8%Q)9 zLK=;rjYgA=#<4~d>4p;-`jeUW#A9htdp(Q|^r=>rW&bOeY%?QY}d7 zHslNhA=P?1*?bahj6)j}lZ+^UWK&9tB>`jE6Kzlv@Js%)zvMsoYrgki3q1Z->Zx1h zd9U8vxb2}??+f$(Hx^y*%-aJ@8~u$c-`p#Be!JxDUGU0>(j2GrU8f2Wlf~8(MHVCZ z<^#Fr16k%{nbx=rTS6v+nB`2$cBkZc&*VOw%Y8Oq@NTgroK+srt4$NP6)XDcmE+wi z;-rd3l`~l)o`?hPtrV;C%bT<7yQJkUoP2FupqdaUCj{4aF~wIv!QjhqJQGa{YPxE90ghByrmNL(T~^c8D!K}&g<@VNr%9w#AR$8G ztN><>Qn-9FS4iXth+Gkot0}t^DQ6|%Hfocm+?rLak>qNeL^i=;57Vi=GgDm?y{-KX zjctW>HOV!Fk<}S*YcLOM;@#_`?V7{Q+d~ceLi8uY4Q3+^7$1%K31$kEr6R>zl3~ry zwPEMjGBa)I>9({K+u0-=GRm5SvL>Rfh)I@sv=t6*J&m#r~3wg=g^1i3T@-){(cS{wMh+W%$wn^$GQ!6hG}OA^s#$e2o0 zcn!+GA=bAw!nQm3?m&pqaG2?2gca}#e5frk)NUfuc_7BUC&9Zn$>+OQI0LV!3_#Q* zgw*F2bvKXDDZK6FlV8vN*ZJ<}{nf)w<@OdFPI|bza=g8A2)$x?M>8)2vZ;nQ-PU(R(I}RcfZv5!}9O^K~sea)B<+O`my7Iz$7oS%NVJpc9T{2So&<+sllzg}JZ`Wc+L z_TyC!z=?d<&5)059fu=4bHYh!P1 zd2>a%zM=%{_No$g5eKZp@glq5-?*g9 zR}RiMPcOF50Ovbrr`xATo5%a$qlW&b$sSqT-(1^UU)^0<-cqSHj5Qyahk&G*pvV{_+P_hI&WJ{Sc8AAhIDx-^ON0|r(Uep)EfeEqQi4oMf@Q68vIN{9NJ&BotRLr!NgNT0 zDOk=(C)K zSvGB!HA`KhP?zx3#fiE3!I|0K8H&~`w808(Q_W^Pt{FGgf}aLz(FxRoLekO+r=?Fe z5l4F{1l$61ktJubWJ`3x(%cf4&Xw>aDw%3owyG9wF7tL|bhUuYV@=F04v$m&y2%~2 z%&~466}Kg1EXyTQ)dqLY=nEz}r_xW(n^O2kvaBfKUllII9jcLBksebJ#4?2<`v}1hRF~Bjr+fzK+VfLm= z8`iN6i)h8#HK$lLrC2m#%$qRgU~R@&v|y~-Fg9&Twrv=IeJk3&1%+rrIy502n~=`U zNEfYFG$P&Wksg5BME6ffw;DJn-L*2&sXW24INqTs&Y=+ESQPJElIT{7_9#j8D30+c z{NR=!;hGojk{jlj198X+L*#}zOKe=jW9Bzoh!!O7qi6f1sQG5C{f9 zC*u*|R_5bd*-vzGpX%m6yIuI=cJWKSlGk@i-rXw+&@TzRrZmu?EYJ{89%xh%WK+f~}ux|Kh(E#VCn`#EjnzSbvbtD>eqV9E}?slW@ zbR+NdAn*1h-s_3i?}a6$hW$w6L6q@ulJRJ=@mPw{cq+7u@hp?kT=U_4tKn?3ku;-` zDu) zh@lLx=|W#zu_wO7WxB+1ya+K|U_X*)Kc0h_%5uPEI^nZi2wASgEO%0tCppt+Hv8dx z-iyV8ckHqV{-;DqbB3&|L_XA@nCg|1#)VW8k3na1*i3`&nwkHGZuhR zD1lTc7i97UiF95hrU`^p9)Fh0rLZ|<7Kg;*!pUeHA%!oU5v%58s|%_v#_B$E{fNGH zNLxFYUD+im)^K9QIF~;}pYNsMIwuEO2bvn%OY7>=>nalJ3c?z)-ZrN`ZBO#)MY@k7 zo$-l|vxx{g62V5>b1-(SR2xR7H9gasmTEnlY(qg?laQ8#1am^784+bh!T`*P7z^Ng z#AJI4)^#q;hn(VtN4rnNJCDU7Mq+J-Vk`!uEeAhX4@BDbMmTqcd$xu7H3vOt@PAnM z=3!O9i;|Fl{D{z^5ARE&UzdM;Quo2VEzGJn_})OM(MY)2c%f1d4q2DjK-nre%k<)hzw#Wt+1 zP;G0y0`~D<)x`fdjt(HOv=e%TwoSJ-E&*G4gY~-QCb;_l*ui`A_iZ_E1mnkG#gA2} zf9P?s{rhyyy^Z68owMWpi=+LE!~JuZV0mzUba)P=0%*VmPzX5U^Y5R(^W_Tg?dlSG z#o77Q$=N0Jic`SVp++i>&NOJ$;^h1*u#3|RAQ)fI&cB|VUL7A_9PFR$Y#(f_Z?COv zt*z|9fP;E(O}z^TlmN8=uldJ-%*yuxugf=mM}M1jqHRJB+ny`7w`H6A${pwx8z(?5 z&bJ^Z8^=e#HOJ6&H`N4-z<-+c<((DPmP)aql*4iMupO&>ZB4ncrQX_5Zmh}IR-`M- z(q*+&tprF^3W-V%u2&k<0Gc6^DuptoK(6A;R9u;oBZXTk3w#k3NVq^i5DBNnzXPWM z50foL1fhr^5E1x70#AVF3h-2G-`2;b_e9zE9RESR3`9>@qgkK zEks;1e!2-a1=OOAfa@R;fLe5FaxL0nG-JAnIMF>ro?2inu$4<})zXrTwJ74TWn%HN zLbat-?kZ*bO3|U5y&;~L2uMuMB#}8hNbhTAk9CTP!|DZ`Vu>c^^Y{`KizixSvZypF zZn$fxF1I5)qC4wdU&fQcbg%v_@7`RW?)>}RxevQ?o^)lu=*@mHko9sX^JQv5(qP9(7=EzhGP)?dO43|cfYl9}g0#Ju^uSIIT!mS$ZT8VNgPjo7Y zcPNg7YEcvm9K*R3>0X}XRgUs5jrS_~=v5TuQ5XsA!X+=4nj*Pr5D{x#0||A}|`mju_pB)a_@ z%HyXbufJh@eo48n*%tBBP1C4_2Ay=^6_0LZJ=V#&Rtw$2=eG-A>J`4$D}19@^!85C zJ4mtr-4g$MrT+KI0`$uQ49eddR0JAU1{ndWf{m*~;GW2}U_=7Ju&DiDSsP^qiMFhb zwy1*{7uJojw#{*NtqJz+NJIz9z6)*FjkfJZTlb(Wdyr;5NYkF{>JQ@qq{$%CbO>cO zjJ6m}vKqx&jb>Vp&G!sIm`Bb`jSG;~z=&igrf6aOEOU~olIezyF@9UR(8&-N7);=(7dScZ2 z(y;lRaZ{j4ZLnE+fN8;7(~>~zmN@sZj3>l`7v!QRGbIlwCBDQ`KYXbluJ{4I;2}Qu zAtCn>G5;~C@Cm61@EAZYenKgEHdFeXTK;CfDsZtTf>|H8)Qn-ZXR*49S$#FEp%(Ud zH)nc?OPplS;#mu%CFTrsX^zRBXR_&w+$B1ny8ui;D47+?XM{?!P(>0d2?8a7uORT` z1g?|>d_W+b6H4aAl0}JRNh)2G$`*iTNL2F@B}A;47t0q!GP+2zAQZ#QPriW0+_P;Iq@<@2>wOU6pJ%PUmT`V z`pHv0_`&Y+cJPhu>M84K%js=M?yHF#C=DCT_aDl7K9u@!2;)7Pab^=SCR6by1e7Ty#cT#^K7+NOq*{_wY=Bx2G&>`>B zXg-=~HJ)HQ5$`Y-=Qbs?6h1DXTPfjk5j!yUYkM?$tcDIlBwoZ38PPW#MG|42_X(U@}`0}os zcdZ=mF9QyK+q=kOEY3WOzr+&q*%BdJDgqZ)wp_?o2v`apTft|^`5Jk+@rs+|ia$(6*XC`4 z^FQ|b{@&$VQwg#p7A}eTOkfUt4v-2u503ws2P^-^C~nG5xpX+>ls(VasKqr*Di3CC z&T(jS?AbZif8!N!ALQCACV^M95^(LBL<eiFy)}HR#n&u4@qA~4hOWL!J)EC{UuR2p- zv}2#OVV|_603Nj^KWs~W(3b4imh9V_a=#7h)0XPpmgd!#?$MU+)|%$hoa)qsb!f&S znp5nWlWhSl$u`Z&)=f!PjcBVzlyxK8t`Y6nh<0vFa%n`nG@xDUQEspvB+(U6ljsU- zPLZxvD3=PPb6J98NgSd$7Eu&~DEtWQ!l^XDtsLc9f%2(H^r?vVEsMQh8sk+It%+Sk zy5>eW0i%FK0IAU8oToXN6XuW=ipUJMOAEA3eQ%BRx5mD+y!MJ04k<64uy0&a-@0W4 zcxDA_ydvUZUgX34$VVALo=I;UVxL+@`58xe-VJrp`QWA-!G*w1>JHbbwl9Jk-g0 zq>~MRYN3<&R44zrZvG2^PX0@sf>*kLqBpmT-sqJ8-rgyFcem`_-E#kX6#@Ey%J&A9 zL55YqMpYrkHK8Uo;ifg=W}hO>KYcK-`CwTcWmz3= z)Pv3>-)=a=)T0~Y)RP1p!xGLo+YiM%j-U}^X?Bx2Hj|ka zlc{Et$;Ojd^QkoJsdW4COvjN-mw_y|{!Hh-OozSrPM-hYvft=tz0l8mVx0TXsKCdt*vFv4?_SNLd$lj_*7+OOhk#dZQ66Mf7+_Nt z;?y4hU^3(FOhFK}Fkrs;?R@DQTKPL_Wx!lz&`fC{sW1pYE(xNP2a+oTNY!tN)vpNE z&+%1HrmG&{Djwj=9^gwK5lWtsN?(yn{AbI;<||?rtI+J)bU|ajq_teyUoV?(m(LH# z=%Z4`l$41Vapu5xn=9ZhiA9TI`MhL#PO>s1ULlEAh(a}iuf%g@M4p7g6V37X^L##o z&tnN-G01{IM&&DMJO!02r*UO8o^+lsq4ULb?S?XZ0DqpxqiW&vr~*D!ET&1NG`V74 zsnkR{)C`H5#Zz%ODz;#iC0=JrHx^_YG}*?Ce4Q*`#mkqcWU>hnf1J-8WzCH&Ob?R> z1}2-kdy88eQya@;YVv~0urI36J`HdroMm^sS$C{iXOvk_lu2K-@lcfESey|7Z8Do` zMol-TWmwQMEGbw^d=hXEi%F#QGzNiBb)Lo|CR1$2lg%fSt?|FjBE=%+ zP_B5S+em_^)+>6j-d(^eVx53jRK0hoM@6)kR*m)$IP=nj^^3os{qM8gFT2Z!8**^v z`jc0vwqf3dVrxq?EgjBAUp+X~W-4j`$NQ_-4JBYMf$}%6*wOTw*k3(@nU>#&gJ?Tk z0aj$2%hC-1IMANap1dgox$%l0nq6FnGPb@?L_OF#J>I)KKl*Zd^!eoY>iFmi7LA@< z0RcEa|9T0e;_C00SKlr#e?7nWdU5&d6_AS0f4}+Rr=fiUt!8km*JUYERKEDD60=T&PdI^N&62>}CPcKi7Kc60cIoiA0+dkXY>}zZ- zA6)O(tQ;I@rl}sR9v&_q9ssYn9{IYf<$9MyBV*gD-5tgDu5x=%wY$H(r|q%@jABQ* zy`|XNkZ)>Pmu~{W(}s`Mm0PQd%@z5ETD+)$siq|$otLvhb zb>Z^5Xn8}lyeV1Pl&x;c*R~YvTdIvM)#j#ZV?(tGWpn~i6}elj=)Ynr))TVml^TmqX%;P6RY0fZ-_@Ff)B|03DE zOvQlvmFii!k|2{!NhM=a(Xf<1B;pP8IK!N!2{wzsX3wxWbgfsg#4x150&XA!F2Q9= zSxhO1DdoXI9+Dru;-=2@$C)5nwE*XDq~b@f;6twv0r*S-Y^6un%qoQg#s26OnvD|i z56v<7+P+&_m^AL<9Cx0|nWO%HdIcVO#q=ZqZiQ$PEg-PvCZUN!YM7z4(`dts;6o5n zxl%e`&JwCvA~i#-rc1ytrBxQ}wZ0{iZ%SorD#`MyRJAEn>?x(vCE6Trc&Mv(vZH#Y zvx3=Gw$xY88tPPUXkk^BsJMQied))c>%6hF9P{aRD~+5qW(?HRs+whW(^bg$+# z_m))G7OYcqibHdXeRGOUQ;Ky%l4U*0ydG)MfVOGCI5uEhG`Q9$xz?gII+5T4Npyh? zvJzb?knkE)RmD-(cS_!NKi zDvWZ^i*(70aDjI59pDvU%?WqR4s*za!3w+7K%0~RtK@f9n70;MuSj`@z`k%wedUt& z=GrTA!u)_&0IA6T@EA@BdFvGW%sT3!X}Gt3sQc|muR9-o?#27+C-~lj+`kj=c`MfK zufQl`T>cW{@^7)Oe~owlDZ%q+q}MNK?^~GrI?2AeDGzRAA8Il=VXlQPAoHAXIg)eRuz0@gwrCah!xAgVx(l>f#Z}iIF-YI_vxLe_W zw<6$P#ru1ef%=s}22~-3RiQ@JVMf*A#?=ufHIZgDkrp){tZF{ke){0>>4S4!w0lFW zcT>DyOCnT@_M`_L7@rP|dk4n3Jqgi{W|J7>sT9-cR0~|X)kM1ONQV7DhQnYcVldNgDAQ&%!(u$cWGcf5mt~62 zv7E}b>O>n?ez=qSUMJ_xovh~uS&t2K{0#EE^$Wc2miXQ&e{{R@xn8yZy&CY!BTUOe z%!}SzR)jco#rxvZ-_r7f<_iPpMepdP{__=qb5$X;RbiC!aB@jFxip+y5k{#FBiDqG zKD{T_zQccdjjMS+T@BRY5w7APzU(2Plzg1J%N{4|G7VKL?zOG|VXXMxS9afDQkXpSSA;fUwBA{tLL z&lfEUL`1vDO?CJ@XEh4UiO zf%II=AM4_O|6%25j#*?wQa+W~F7Q?SIL%zA7+@h(rsmnXFt2;BRTjb?6f=Z2- zOK@WDG;eWykvK>m>>6us>8Yq~&aJ4%RF%dw6b85FzU;_&)RyAYf^=_7aO#M&>yEV? zjJFs^n&UC%q-1k)vKb}WjDR+sN-!RaF`9@s!=bH7SOgJkk593|rC1WMw!~Bia+)hS z)s2MpASQc}(Vmn<_t|*2={T>USl`Z=N3Bu!8zVgGLY-S+=WyeJz&pKxce?`hy8;b| zBh7Jfb~9+_X_VV=qDN1HR}b2&JH@**#j`2Ku_g${D;m&|onBf1To$oPDI@ddcV{T!1rYUrvv|9`AqN-#*`2KfX>|)p!MX;|HrphpWeM zcIwK}!Sdmr`d|lqEZ4xKiyh6#*X#Lc;N#VP!rGDas-111Ps;5L`PRB@W9NpQD{H_gq?;R(jdk%laEx`WS^%#QuWm}$w&m+P%FSKX)}DHM zR}Cz2dmCr(lOP_E|56&#tIC6zM8l0~6tp2w$hc(ZH{Wr8TQl_lKCPnFyn$RrU)cZEu;#nR6&x;rX`XIiFi~Z9FhnIMZ6&% zdx*sxXDt!foH;gcktJZWgfO0P-Mvc6Wk^_yV#b1qxgcVH*M>jL4*St7evDWAIQH~L zKVTq&Df})Kn&G6{`J}Yp)Iuv2fAWgonr>;lg11QJEkLheQ)o+CuNaz{z0TYG-WTh~ zkcCz%+KKoMZM;G=$+Ve7ZXi?I=V&8~3=*45g&jOZOrC_nlPqw-?>aG+CteVMPhQFv zNd+RAR3ukP6st1jmO>?3V$KpK26~&vIzJIx%V|x8w3ZTTYdN*O8eg3?oEzJfR~JTK~s`%W0Fq; z#JfJpy8+|VnC#P-a=#ht+mhzjlJ3`%cE35zr#a25In|>%)vX!p(u{R#N^xjRwr@zX ztwUPXBCYGtc6AtsI*d~t#<>pTQj2z}LAg{VI%}I}md80>6Avkkbts8J6n{h%Mz1i!Ml`z5j7MISv2qTHZYL^}WI6}gd4IT4Q8;SO10 zh>Q^Xv|!uRARBC;b@F>_jK9^jS3E&rpF5_${O%P&&?|By9_D>`oEP;tJ;WRR&N=qE zZPX+4@cV`#UUwt!8^k;?On7XZ@YpEvkx}A9g9P8ZiQYO19>2tEhy$zVF9}|^61{FA zeRRZv83TrZ&>PF3O=k#;GCRwK37X8SMpVO7d(@@@Pc6H=tbW z5}oT3oa*A8>f*p-T$&PGo00DAXxDCxQ$H3llx#JMF`Gy-oK7~xV-1O^M$@Ur(|v5> z2xn%RLnE^ns4T|f5}VE9@>v4$l331?C|NQ!TfV}Os^=xDS&@<=kP$gz?X(dsB$j~8 z7S3=*GjOPraE>RU2_$ffL@Z}W6iYJj49X>$f+oEbg^tvqF9t@id7{l zs#HytEz=aM0IFhTR<53vDQ9K!Ihlka=Ht1H3Fhp`Jbr*O)=e1bp6KWusvGDo?P<#F zs7z?i4{6GL-GT+*S&z;{r`~wm!8ps27_-rj#$!>2V^Id2#DB8#mB;#UDZwKlZ=+L%+?NzxBIhPR-H2rT&Fq>|yr!0{gU77OG!F*C27Z*RuS(Wd#j6|AwN3fPwsLDnwGEq% zFYkbLN4>M9-rm$SJYQ38uW9m5*VMae)rLa3B2}m)a+O%F5K84dv5X@WFY!eTo?w9k zY@bKv@~J!ll`o_U#5AFlCX&tyVUajlASUvJFzJFTAaVs{o(TLn#TSh6`6B}UkdQYZ z;`IwS{oJL2CC2Cy6LY7Qhc05y3+Cb2P#y!$`GVcE!G->& zh33uryG;-_+ysH0IloUn1)2f=h`Xq5geBlH_!_BTFVR>`Doa~E`e(Jc@rpmF1#2F7 z1%HvoTcC00XuvC21S(?!c!j1Or00h@>DP8aCTL?6+T@BZZGHur*iIs~5J-(UQWtr4 zVqu=jVba-5`VwPtk+DE$(CEzBMdl2BkwT}D>9cc-)WtEC}zDiR%)|}wdklookVfpAsEvP!2U{M0FCPCdsiT$+-sYT#1DF znWb?K#W9GYX#3)5`;w3Lr7`xJYEw7_r1YahX|!W$lw(=6OGS)ZRh(C4oL5<_SMf*B zqG*qTD3AOoxBL&TKq`JT3ZN4?k&vtiL}s{sW|&<@s9jp9ZEA>3Y6w_uvETb`raVGm zpE;(!aE4ytf9(}H8n4KWev%gIgZ6igePI{%#4_xGN$`Dx$cM%;PfQbDm?u6r10bK7 zA|D%}{q#{jcait+B>LP=@V*`ItqVv1vf-nP^3_B6-N8J(m-6Ud>J$C+r}r|S-phJ+ zH|x6K^iIx;JGn3J=vN(`K_`Sx5{7YRJ_uye0{s>4Wt^ZZ*?o*>Q=qG zUHMM8;;l}_JDu_X!0n2l+ZDmLD?{|ELhsgw8Z?BOG>2L=g_zd`n|=y0hG`h#rZpc- zKgC$r#v$rZE_Eo6TC`Vfl5Y*#uL|i~k$Ar%!KWg@t32MbGSRadw3*o94^Rd%9TgbfNI+T=8>4>6`J2fboi;>8c=7br7XGm|PP~stF=i2NA1+ z2vvc^s$f!eFr_ABwl;LWE}T&x$!LgNtdCfz52MwG%rykfGz0=Dje(TrK=32|QwXav zlvNSNEDvLphcn6}8I{q@s#tbi60bR(-;poutCWm3$#6X~%BXanAX%Chb2&nhgfCm+ zDb_jaZTA1m*Ly!jnYDYrf553z@4NRq&&)V8DvBruauh)^iv-C{&N=6d#Li?8Q7~sE zb>2AdJSy%X8rZtY?`@XJ1b}9v&HP8$y>2ccc$DM2}Wn9V-l;$o8I0KRcD;_8{rl zqZF6t=||sWADt~Yu~>YHT7H&Z;l-%%WmX2#YJ(RVLf$ur&NhWEK=;lIwAuh>l{csS zEThtoQhi~*=E|G0i%$zerZWQ{rFlF?oqUpX!x;-s8^Qz42Sy|wd z(onz^4=OHARbRSS6*`pXk4yGMC;9`fcz_vr`-CKBX;#f(L;cT9+a4eaqs(GaI_%mt zyJ5qoUj<|P zR&{I3S|og7Sl_QdL8@MD;A8oILW*|Dq;UY2(5Y=&rB$P}XcT6(!VIojl~t#<8Z>}3 z>;`Zjt;3*M0t>yyu6GiM%4$+stQwmgLIpB^4XN3HmgWe+*kM)$mYX_YQRwEfc@q|I z7_26p(WEsRbw<5LuTklh3XM#z7R!_ZiGl|Mh6=7+#Z{;|N(~nonnqV@sB#qv_Hj$! z3Pf-CLO9chD|o}i6+%b|QlzE= zLIsz`<50OA3YSgcvB^AVKPff;~Kd#`>B^-u?MHkZ;LNbFtN8jg)#}vdDi$;D( zr+_Qa6b;Y?GS3w01bIkaoIdC?U0A&LVSeoO-1OYy2L^>LVsQC1HiN_<&C?d=siZ|R znKVzDd%y7N_3Y#KbI%tS-qIEq7>g9f0)sKnWsunnI+MnxlNRUZUc7vJ|KU@7*Zq#% zk?Ly`_17M>-g?{-@t`eYyd`3&F=DXcGO;d%Q00fO0%+lbukayM_!BCEiRB>!rT&A( z-a~~RghC%|L12GDaBo3SPeEXJK>)yjo}$3sk|1<>2(BuWP!mS1xk#+NI8YxxRCjr( z?#gK0wUOGZBQ;ltt1k~$TplR9h%XDpl?P)g{4te&*vbH0RWP`(ZGu!)au1|NKZ(qKDUqJx6AP5MPAB@gFkIlb;D+nVLhGPIx9WYv6;Y?F zfFe#+-EgbCcB0~%Yxy&MG)xK`dgQGLs;Cc>@$_Q}S`lTDFsEm3Z5 z(I?tsfLz;Rjsvb}i*{*`KGGR=xC`Nm-ss=@Vh;b!6>%<3uD~a_0O7s`E`ZR<$1td4 zm{eCx+6ipB8vv+4SHCXfBr)^!aF)k-md|LG*HD%R5kkdje2zOV?-ah^457$_SmI4A z^&^%B5lcg0V{cI?rtl)B=n_;hj0NGVt`Tdm4_Ajnt|$*cxZ>RF%2RKvPQ9-=^`Z9U zn_BnhwWpudo_${L`KrO^ZIj=J2H%BxZ*sjCrOB7t;!kQ0cwFu|kbUZI;_=Q%m-Z`1 z+CmSvUpNf7qBHDB=hee^BYx|?^IKo?5p<>tCflVy^=MDxVM40w<6?hu(>2cBDAwI* zdRH{5`_61{{Oi8tS7_9G3~B+FyogI)z$MLNljbo%$@6H`0w#roO{L({X@m?WF^e;h z!ye3L4P`L^R}5!RhttR-sid*g#qpGdi4@9cDubBD#-_8;Y3#lfRxgU(o5JZ$#6zXhi8{q}o9bDw>h*wfc2Y@tBB#BTvKA#grbHwVOXXs@mM>Rvt<5=u0z!er7)oQ2O9Tdkh z*=i^0j0+0QJ1+0p;`;|L?%$ur-=FBbKUjAkU3|YYYqBxvUUk$&>DBT43-|K_XA1qE z6?wfX_Iz9FIa}sASLU@)>b+RvGhgO6TNU`eHh8u!XrVrk+z>#m^I_I_a4Ju;YkZk? z7Z{CK7plVFmV`ac4SAa3^AvUZN&K;g3CAXqj*X&@O=X^Znt$eXiP!UzfF~uPGo|6v z<(D2*UA$j;VI(&Imjt*1iC16;UOgr8m`ba0b9?>kvSr((cIadllhSV0fK6=`Y%~_w z-~dzkuwwJSqQwf5{a-V!!RZ+04Mdwr9mO}a_^(n5{9ox&+4P;n6^s+!4HW02bKy4VDbg=<&0-yyTicOdw*<1%7lwoaI zhj0bbE#e&S{vBEUof|R&Y*1UZDvMTWMxeq37T`-KR2a2(lh$t3I*i(-eXdaNbA?fD zHLI=8!i?|3O<-|Q3u=dg^&ZQ}aM&di_@&sbdW%J8Hfv2LjZv@CYZN-ATq~Dpq%uGk zDv?Yr1d?k+N*zRWHTav-bCo)lOihz0NJ8lXUp&tf&v8YwT;Y2-F;MhID0(dtzmkYw ziAApj{FhwrdoG{M7jc9#fj}YVL#~hmLV#Q$7to~~iil3)Ge~?Una?8gIaDFo(}gS< z3_iem3FU#Ly#1<901|4kUL!SXBnGfh0j}Vwr5q(f2vQMSB4msCOc4*F1$aUp;0hKQ zT=`s@fQLja4jMyX-R42*Cej!J3pf!6Zw^DuVu-$(VzFLQ>CPeP(5ahBeu$vOG@Sw# zQxwu9GHz^&viJ~j!~*OwLm^L-NKnZZ3064ios0tmZzBpKYX{b7Uuqu2IoQo^M ziQp7mauHV&iY*Pslm%eQ{jn7R*vcSGMR0#<5a5%pf`E=(zqTx&woLE#ET7J7pSwA} z-MQdr1@`6#_W|XFpz|+a3&L=Pm(Y0^yRt8|rU$pA2eo8CoPa{m0xBDz1-J&bW(Txn z`!_qGBEzR~A1(YEv;3R016y)}_x&~_y{lq;YhwND;sYC#LRwP7+S4z$Wn5{^xZ0d? ztv>Z~4eDY=!iADMfrXLYc{k7IU3bsFdLsYIvC`|V02t~cPSxIWtGW)MqT;%1`3<-7 zTW;kMCo3Y|E2B9w^~B5H8Ubmv{o3is zkMt)V>c0J3d-&0o3&+|*kF|%nbcVZh-EirRazV!*!=jGiGhFdmu9(zgeThd2sV5(m z1~0ZmFuUXF-SL#J_{FY-+3uvb-Ke*{$shWY=FtiB=(xH5*ttHa`M$V?zIal90=Ykl zicY3sP;?+{3J?{SLdB<0h^f@UbjolBWh|32kwu=&rcLBBM)O(2h3vsRHZhw`$l%~I zxY$e{HVaD3g+8GKySIlgZ(jCxwEeRPoemzD5J3)$p_$j#kamY3N!NS*=`9 zDdtrwXm_kPkl^TQJyWZvDirfV-a8iM4fu;Ezj?Fp{MEbZ=PxFn&Jd@^yC?DWW8Fn# zZ5b0y@sqU?Q`J|dE5ja_2R<(Ld6Mt(B>VL9+_SF>JUD1lyebZQ zS{yo45{S}u5FmsH_aPB8{g>Szi|c9VTx>*hBdo(*$Qw% z?XYQNbD>xCiSi_J05R>C4wWSX}XW zXZI7}ij9rkwUzB9`v&46w(Kykt|FhqnrQ>3JoIZo>-u#lfEh43vg!Pw*38i3Yv14k zG1OW%JGo*ReC7ZuOlljN25CM}T7428skpzKB@ zX<`CUp|V;aSJ<4Dx6XVPKno{V{M}}PIHDsTEO>)2XCd zD49+v)ygFrDI&Q{uTmOSN)wPmX_UzgVwqMbR`WzEj!4B4!fFAANJ$qfX<{W+te{8~ z6p@S~kdS#II#+5;a+yRbm58Mhkxa~&@i_uElS!wMX-p1{ zBd76AZ{NIoICPiTm^55}d!qW{gQ|e3%Aord=O@cU$I3&7D}soXfrP36e2qV@){ju_ zPptGGD)%2N@tZ92eNf;tQQ$jV;7cg1+P2V7e-ecQABJ97e{Q+Hl)S6)a@{)N7Ru>OLJeR*MB*`Xa7A?+FG+cVEQ zdqCQNVEQ8vQGgRFTC)9`vwWK}eGsm2qJ>{`W(Lx@wl(@pd$jxAm{VOq zu_y1wo#==KTyeB9`nQItUz($Sg=i6dxHIPPU4RyMj`YSJ1!&P9=YokphKoOjPdI^3 zaKk5_!Y7@^q0Zt`Jg_NV*mQ49h94%=ACnb`$qFXqUKlD08!HPRftDZ_i10V!gDp9S zE;@xRaK+~zA>{lrkoD70#*f2kKa8aOJe+c57X>_tsHwV$ znc53asyv@odq1!8eNpBAq$+f}`s)3f+oKJ4h%Jfe_SC+%w4RoX?xr+!eFCxe_GrzO znTC+pt==D6+@Dq)naKVJA>rTpB7SbaH|KlDU? z=(;`Ib$h-$da);l+#5sbjivR*0a1J6$US#RJ+X^@@r(V5BrJ+TOs5TJ)5h{>_X=oJ zMU1IZ=KXT!{VLXE8GF2lJ(kNI&fyK@@CdmaTpAmjz`{hcaM5f+3}-NgJ(S2EPUDPZ zvq$sUqs82@a?xaq{9(WP@rd&E1KIp@3GIW7LsN>tiAAYa8#Vf6t!Ybb{HQYSC=9!D z-IheNDORru)XRLejjJ{@lzOs4H7Aq45sRM*p-az80soyqG$$0#izJH@8Q=}NT**?Z zxp3@)MyS^c4H^MB{TP%yy_}^HQ#2(gtJl^NvULMwL+6oXfkmO zMrf>|H`0wJy4g(8>j8eelZu})sZ;M?j6ND08tomx)e$@M2AYzFY9qlvlHmgX;mk8b z$u9R(jz3F3Ih%QQF8}m=nfpTZsm0n;lsb1>!)Z>Fzp(X^v^|2`96_y%n5~L8 z%o`&N%)FSNr3-j!qtdpbG%P9AHkHDvQ`w9fn?(zcz4=U;of|JvL8kG)So|JwchA3LA^1@v+6pWC~C0qWS^{vB!yxo&^{2*;Ry-roAO zxw*HozO%Zzy|TKsyt=u%wzac-tT*#V8!O{9)yaIJA1I_bZc*YecRz! zx0seJMu)?)ia2{iu2?m!t>{))w5zMSwN-D`BXlaF5obQ9JZLxkqLQn5qKa(5%3qU5OU=} z05Bky@KxaTz!xdiYs8Q%)B?yA;5h-PNI7x|PazQ~!DGRb2slzMQ^ckV85G{WAYkx$ zbfI9so>RbghBYYMZ%GqG;1-5}$>1;0Va4VX3WSRB#ktXi4*)G5kQV`0Jfc&cFldkI z)F~=y418;GZh}g>&!A2-=}#DpXLRN>I#^Jj&`B@Yln>x&Boi@V3#?M8)W~&4jm2(u ztXWq!?Q2_08y{^e8)o~8&TP>cO**|ntI^8DVlInLUHHIY3)xBs-~O)!mgMow#6V}! zaAW*fS?FZ`nfv)34-33z3VrVv0e%P=C=Vu91>!*T_U|q5Ll*_$ivx)z!GzLaeCc^?@db2YNN-+9S9VB8W>9NdKvSAuW2$dM zs!v0jPcy)bEdSP=z_#4rj=Yf0{0m+AVcq$mJ$Yf>*S2 z7n@O+8j>&7qr&S@04*+8C4`p81eVH4uOF)b zy6IXG;Z_-Ws_M>}>UfXZM9;cJ&-w(WD)d}XLAa=0OJydm;_!_vzF zn~t-Ot4>U0|2mNH6FTy6*OlXKVQy`gPPB)+c3gAqi8z6|a}u9$iimO_OmiPdcgLr= zVUmvzWSo9f88Y7)MMEc&`w|v=iYqsmw ze0K!2x#)?c_C(QoqNzR6lC5*{$ zTyd|6GoH&G$>k2_@(4K`Y$^*K$LNb-pl>m;w^+EFOnf90AIl&lG6~5{0*XmU0b11;sbo;9oI(F`KKK_=Hh;@7HWdZkRSkm_VotyHF!$TdQR znyXMUJki~ag zaWJA31|n8%x)qydpDUI%D=SW@(5~1u%QnrDO}lK>E}PX3J$L~MGe8TS+NMVW6aX-^ z8XLq6z&YRu5Az^!2V60(fgiMC-C9A;_*TFh##K1S+`hH3vb(+UW%uKsJBU8+{P}VB zubsVrLa1}m2k6YV&A9p?j zuK4u%52#OHpk3$g?>o*Sjjd0BLmakMhjn$uwz2Nmf_7o1b@(>5E8zV?frSof1A&fS zYtZG}ytaf)GjTei1I&Q8nD)8CqP3gUR)7{xx-hED`#1sk;X9&0WC1stwPwH-HZ6=x zz>ZY4ZJ#I*IonhZLKX*dlEy(F>;9KO;Fqp*fEQqZ%_aa63|fgENG~-QWhNlK#Gn=F zv|^n>YBbBuR;AUZvf9-)yUJ!$S}k(3Ne+MnrfgJ5DF~2CZc@pN3aLRM*2#q$fB{aN zkZ}}$3xNt5Qz~UjBy^F8CJ@ktJf?`t7V|g~0Tt7HaAA)scuqh& zfO*s+tr{!@8fUyh%0?PJ_$sMT4bVc&he*R`OSudYnrGabRQgO2h&lN377vOxwz}|Cc2-zJLF2dZc%{zw%)# z>S5KD>5A}2rh_xsost0fC>O1 z1hzx8INzBc(v=_Dl^5CtxFQp9McCae#C3BYEs*XH7_5Mi3a6T~d>b-+>eIaI(|qay zuB7@lrujFg2ef7cIk}?jj#qiCcU7D(j8`NEHYbO)r-rqn!kUsV)+b%8PX=5O4!EK^ zA++L7P|0l{z!lk{hqD5ID!y>2`qJUXt1k7|j@Dd1T6yzm)vaSy5yvYdPgKR6tcpEd z9S>C#ce*y#y)MSRF6v}`Pm9Eo9KEs9x#SWR~(>=BfYVQ`{E9x;|^oukKhuHBBh%ySlAVE43l&mo$QKEKGBbI zL#Ld?rnwU`&J1OF4Ci_b<$DeldJPqM4i|e2mw1epoERCeSDO`%{aQ5lPH9-sAH|V%%3MOi? z|Mo&(#C&h$d`~2_q(Db4VxtzYk@Ni#vwb(`dT-A6++66nwb*@&(i1`LxlQf9O#ztE z6+!BbBq3-)>W`;jlBl>;8Zn&?=wc{`K9WZtEo6+BFvkm7V|nb+EY5H?mzcxDZxpjHl8L^}!bUK$(M((%1DD9aCD3tkG<+OuAca4iD;_J6kC&<@O0|>ax`*}p z$8Gu-y}H)~?fWs!{Iq8AiHiJ6NqMKF%_*6SN;XBwVgd#bNyt0%ss!~o? zDkv%yO|7PBv_Mp~j;7MnR7SeWOoujECW=f?mTJio4OyZhix@#PNo+9jbw-xPz|)t)(7AAi5@_Eg=~2X!GcRRNF7y`PqxeOvCc zSQX5uy-2FQ_@V0J>+-NyxdAUwXP@6WF_Yjri8?->e&P|}iaekB!l2iMA&-kLP8Ekw zm4r@}22U0T45oYc$DHeq2_RJEPYjMceNSEB$%H1GdTmo>TUF>C3bj?GHfuB{jn=Hu z*;M)^wSHNrx9fFQKpH?st<|ixgB{0aSY9%&teDrd5hDu+Y0w4`2M(kwdwW~i5}Du+d72QsT1MuknMuxR8at-`ERTJ!)dppZHN z&3^F!9OJHafFrp>zqD*zS%Xu^*OuYXu~j$)%)Yt4yuGoyyS4sldlPzDY;Gai{;~x? zVm}W81zSpYzwYe(;ViLmT3!II*h1nJh;}!CHg+~PcQ&_nw?BRY2(kC+kI%n<{rvl% zaJC3?MSL*++THsD0LjMM$Mu!%jpdJ<%O5vv+pFLc(5}EYt6qlhTC=s1)h}>cV_Xkh` zh(c{&0?!YAmda*Tz~?b2EdUWUfE86%Ewa|a->+FMGpfWo1wadd3O1I4KT0-`Ov3sm zCs#1VVunZvws-&)Yzdzu74RTe9H0dftdI%WQV~ZcM*OS*S||{-Pzr$5D!%$Vu0WhI zgld^UCFLt6JcWoO7qFy&B6tiaK0_>ENx-uSIWhrTB4CU8fVvq1KoKl}7T*N8f=%Po z5w3VmXFQ=%A5cgWsI_XnQD?TA z><;tNrg{03dG()ijf2DDlit3bogRBTa`#1l`Lpi4C+(<5O)-;o*M}=Z38nt{QeRxD z53baEu*`R?JYcdsXtKzEGS~NBmiKtB_gI1VXrVXQrv?i=i9m&3ghB)@5Pb&~UW9ya zVu9~KfiJPhj|eEDGyq=`fGrJx8Ixi^e32in5b%aSwjdCbAJ~^0*qs&Fnc?38paSJp zm+VoKbgnw_Om))PTGYAvRF8&q@8(S3ww!>DoS@FU;I8}&cXKb?%?|C%4C{pP3K+6L zxFQ6GEOO4bwOr~B5V!rs!FWbc|J@7iRaI+Slc%KsZzcvr;wR>k=N zuBcB8Y)U@gmJ-^M9NL%^hH%BD@42G%Z?5>UFy!aTu;1!0AE~=~xaP)@>Ik5t)wf-$ zB9B$ZxK`eAtBgGX6?39G+O;~$wK~$Z`nGFr^ojbI6OC~vn-bkyQqDD}dp2i!Hf4LY zW_x$$c=zUb_hor@r=96So$O3>?TB~jh&$RD`&(D+uRXDcdSefv;|^it4`CAyVW56O z$N%h9fBesV35WU<522HO#U&jcNOl=cJwBXyayZ9*EdT6yk;i1I_f(nB!!n3f;-kvbi5&iJ)&6&QdPch+7`$MPd&JSk? z5aNCCu^#wncTA*f@2%r^uN`l{0SgpTWeQ!zXzXQJ#d<(}eUBV|k~a*84B^ zg)@jZsQ7D(n9B?3%M1Ni7y7Twqi>LKx5$LsB*N_l?5#QU^|}7*^S#&Rd#*2ZUnh6p zAotv$bl;=^#^}CD?v5ZMXhH71L+OvFq7!MDBpNn_j!UBvGH8Q8xvY^a_Ha6T zFq1>b=3#O;{b{V;BxZLEvp1UA7sWzHG0`zhY#aldNW;cbu#ps81dR~Q8cg60p`?U3 zH73&3f76JKHsIs+gDKjPZ1qI3@_w~)x>51CQ~s<^`I@NuFs5F7prt+6vES?XWSxWw z4ohm4RIX8qby}g`z&9GXCL`NyVw%i!y_v4H&@?uR%1&0;<|UT*0^>WL?mbugj-#IC zs28{@GG9d%s2D;OTd3ko)DpQ~p)xBq7P-zW)tkjy15c%8$ka5M%IO_SRvKs;6J2Lx z=xr8_9~a(w3t&c7_UFjIK( zUeTqA;*g2rz_9{fe2QmJ)S0_c{`ji=$>FgV^Gu3ZCAF>Sw|BKm8%pDnTw|4M%nFTB zsWmDMHidCnX+Ntu}KF`yGqzZX;9gK zjNdv^%^G-$Hz`e4jn$#Iub7rs%&V)`wKe<3#?sd2%J$~!4%FJtI@smcKdw2oxwpRk z8L8O(V{7m0_NT8OKRL&WeFe1O(lL|Nz9#hC+2>#{@2o*dQ;0hYx3eFn_%xFy0DEBA}_X_++vb_e<&kkmL4Ci}|0In$T8qD`3=0mg~071I&23G_syrA;Di22?Fg}y_D zenZ9n!=-^kpW&EkCME6?M>AIA2O&MOTS-x;$X>Q3mutZ9e^t`L&3G<04;Jt+H;{= zbI-Tr1Oqi>1=gndRieBr6TK=DJS*ZnD&jpW6TB)D_I*e5)Z>_}3={HYJ^J zL0xD{4sA#Ztp{k4d=aKXQV_0)4JwWFDZJ*M6M7^w=%<2^Llt4a)`tI9d*zq9YlrG? z{9JqUQ0=W>Ya@QExqYNM>S%SeOHCBev09+WW3{(|j@L)IHtci7ndVfFmJILaY~SWQ z|JFSJPWWl~_GEf>rJe0eKGmLhqCMewd)(2E*u!^Yf9;O@r8n*n;0H_s&`+3zA2IR& zz{LN6j{gT#!avZ7KcbU<#3ubjNcwp&@z4?M?(1rb&{4QK> zJ3hM|lil8*)!CDY>q;H(NP5&3_pBxMb@QF~O);-qBA>V4eA;>KdC%pS{g+<$hCZkb z8OjdA#QR}lJuuNH`)?obxq0mF^4pXHl;6;(icVTkEZs=P|$ZM=r{@{o`OrF5>lyyne@Rl#vqC{n8+q3 zb8snKOd6*@iQRjL*?pVYbDPx{3AloVj%8sIS=bZ?Hi3qVfn0%)W)S1p1Bn7`l&tT% zs{4|%_o|}*rW_jyNJBD+5|3nx$MYqVC6WhKvY7_OlQ!jxZuJ|S=KZj4{=Sa)Aj7;!zaY|+#d?~= zz>w%!5(&`Yh!hLePwHPd2bW^F2hM8-<4(lk8+}gGgx6#m<>|M6*{qgUs8i! z4t@nDoy@3_8ngg5WC(0H0~$(;1u5IG929RLqye~M8P@kMEjdFLu)o#G60i!_h_v&- zYEqR=udqOaP^3b`nGJ#a{z24&Etl>uq!PA7%#n&XQfIP5#6$LdD7Y3ONbvn=4;ZrG zDqx)kPYJjJ7FQr;8#079oQaa} z@!|d0hqn(&3vW3rx=hLt38_pbX<=dU{p{k~ccfRZsc+vg=jXW;3Y$uyQ^*uDnZaam z`2vwtuGAS!_NArG?WNUChkea%f_+=y6V@s1a-l}R6fzg73ooC%nIb+JXrAiMA8m*s zl!guz2M!kc4CkL4FY=l!@trF3A1(AI=6GPi){}j1Fwb+iz6H9#Yh29WCz$vD{4_6R?&I{+ZQ>E?L1p z7la-vzxZp-3cjFFs$N$!w@JoN_i=Nuo&bsfn$0Wf1U+if)KhI1#_vK)E(lA{~*v>n+*4y~T8^qcxqcvfZ)xk5>0Z*!fpVx%G zuD$fS{?hBF@HegD?>jGk=m~w-74on;Xdv6aC&9ZX=1lkP6Wupm?p}B4ynd|n`tj~t zC;OvLWA2>8CwLH(Ay*Jm&frj|hO^H+t`3~*xcm;q8Y#0y;8&1L8pkt#L zm}ojWiq?Od+8;p!>bphnk6@r9nAqD)Y$OY}F9z;59ebOGiJ+n*DE+rc{kIm;5sT>C zBuq3JA5SHs=)^<@F_uM)V&kJZxI0`-9H&2u-Fu7KeU;gBgVh(oMn|&2jaU>1m%+lJ z=(q$bE{2YeXW|pt1QZ(^%RxtQ`>t~PuX8ZB*tkeG@eX@1fisfK9ZThpX9y>&)M!Ih=4vD8+k(#(_@nNlN5YT`)E05j-f6z2A;vhH-3}B$kpjs8Vy6KBuPZ?cIX^bRRgpcO>-%ma>6Ls`Kyvro&_(bN3 zhdF1T6!^U;KL4mB^nU53@zTrVrD5Zx=SPbCaj9P2QD-}%{Bc$J<0E5FXBi}+Qe<1! zY<^TMtw~J|k;W|28bunNP^%N@jC_DVKzcJzXW(h|0<8gjSE4n^bY_LlqSo8A20Ne& zlVQnhSUNDfu<8--1?c9q1b6^!E=Hx*ps)Zzgn$Bj8N>;ABe(*nkeT%o6W|J`z?Vja z)dWxkrbrw%HIhToEF%I3Z5tp8tJVSp(ZXO~HZQN*)>a+sYfBqz04J8#m+Wh>+QG55 zyu7}$y1BaXaeZqSnr8yE*!}Eu(cJj>X?=TdV`~py0aU<#kl%N9zwGS(@l9Vo?tFn^ zioLI&;9!xz07d-q4JQC&eA@fE3+@0O_3_K6oj*SB0Iv80#w(U~HmsYghBcV(LGnJ! zniV7ovf}jdwnM)N2Xvz{04v?ZOUtH} z{UK%0pw#2WY{d^5_&Uh01|k!DKyWGG^%1Nh;uq1;7<>7&>WTnzT4W zS_D_X72^Oc$O}%c0PB16^Y=b{n0)tU^399M*H50!zgghW1xl$%Arpv1Tn>-J;>< z4xP)Q1K{8=85|~y%jWO^QSb!5}8(}(kb~|s%GrjLGYzR{8q?1< zXLvMcdbMWxv}O6WXZyBg1;RFvj8H@u+A~7hGS9bW2DJcX1v=H771Wd+)R-06kO8{pfKSB(m&O$n+?JOB5b^!R{UM1U(A63;g#Uua0aP@e=8+K?R9m~yEx zHM}+{v?@NRJlePD#_7C^$Ff6yDG2+e{L-)0mw%}Z|Doa1|7yDUe>H~x-%XeQck|VM zZ@%_J%k>{yZ~WYP<526ZUs`Yd)_UtmYs9g(+pevVCt9OVw%&1XjX&3l@@h@eHI!(UN$&DgIP*+=4K>}G zsJ%2<9(cdV>tXK6hk3^y=KVTd@bjZ0mnWs}&&$1ESNXrMJ3rqTN@~48>O8;D5j<1n zPssM^Nbu;0KGlBnc>C3(9aoP6uIRey+8cQid*?Jh;T$o^V-V#vkm^Z5oy8`(4`!Zy zR1y54<0=`D0Q%Yj0HZ!m^87{wmA%_QEU<8Dx~*U0@>7WyyG_g|hvUtU08C*dNg_&7Q~nt{K?#9w3M zu5++AxR_g<{%h>saAtQHtLHMi?*`xsE+(FfONFHu_zWgKg$4^Pl9{*^7A}p3O(0{U z7ST5sFt-+P5etOKg@I`DPz+_{4t*q+H4@7miRBI55e&o%33tS}I0+_EhDlanGS#>O z9lp#kSYsY(vQ4zxrh06Tv9@Oe)|X@EH}_3*Pt3IU79Pzc5g1f*tzNIPSY=j+*uE@u ztnh6sJnJgQw9M4nX$mVvW+qEaWTA0^ulc}{ykW85uvzao+*uxfUMM0-;5ZV7QpJE% z(o{(0ClnhJl_Zt$oq+O!{(5G1 z>cOkw$;X)S$<6_MIl3dYtNIo$FJv^yW9qic{kY?ks1p-eZd1AE9v1sQDhqi~7Iv>Z ze60M+Soy{AvJ0cdfw(lE?&xzJ(E)%fMu$fqeV{K06atGwxv?d6tcpx_zShLo8h9EF zSF2%bbu7J!sW&m8^h_OsLjX3kCZWzG(LuV9>ntjrMWeInbT+-tX3*K3cF-oLou+F4 zaH^M^buyC{o`0P(>yTUERc_YHV59sN}Cmd3TKG|tWSV)ICSmxCOsDh;)4}3E29?F6vY0hi%Xer2h{9o7S~4#?1ye$neIHb4euc=169-=& z+~Q1>0JMN13%U6_uFwIHa8C6?tS=Q(wo<`Ws|8w(P=`pX73sj8{{{>>01Ra0nI8OV z982IAq_H_*2a4l+e={RYX<5NP2AJ)VK(0`UwEKd9p>;BbQ*gV7EFqQhWXM8+-12QE zDHJmDgR7AKZN4p+I_HZy`GKqWn=7EejdG`*=J$aM*|+C}#KMPA@!zrOSd#(-h$5sRBdjUw(!MWNd|*v{U~PO*U3^e|LU2P; zh?6UjJVLTEZrquBIp8G;qohotFQi6cjc$X@PBW< z^uJod|E=}Pzqelfq3zl~+OGZBcI~IO>xZCj{MvT&Nc%09_6XND=!S28PQ9_0bG5yFu>Mw(+p9WDs52XA;O#PLR`YSH=S1eEp zBGfOq6o3|o0b1ZwkK@za@ad;<**>^}U~FkPzWNrSF?OIm1>cUsbR?rYl8DXGV|CZ2 zDnlQZ`cD^lJj!vK&N=!Z_s~@C4-fNyohdx_xcKCYvNLZhJZEcs<{NxStv>Uu-j6E1 z268;RlFoLOo97hfh8;lc0(l?Qe9khz_Ur-(&)u=!<3b$3nC~$FR`ROiUCD7sVz-u>n^MM)QVZ z_``R2!!g{UDE43^ix|Pc-=t%&(|~X{Xtw`OPQ^_Z%GEP0r^?Xzm@VM;4gR+YgrQsu`m&eL3j+I{+EeXP> z`*z2i>x>G(R_2cmjXru$pX1B8CYyYHL*iHw8f|=?nWxnwP@!gMbu^uUsyEW~2D-t( zG#FS0BgbIk8q9pXS*SOQbY_XpEY(>6T`08{mDZxxSTq`|R&CQl2Pasnr%{+;ou1sJ zmcd?tZ!!R>Wk$8!2w+1CXInrcBORa%7^$#)3syK2_e-#o0vz@cu2|MV59&4Z%Cga6 z2Rp3BY}Z?tjE-f?GSHHB1;}n$wwfFkqupj*UUIChtZc5XZLe?ctZzXxiuG-%)vcYC zjcvdcE1NrOTYDQHp(z$(?)~*Z04iX-V&@MyY<=&~-}nA<>eKGmo$cSZHul!nc2-xm zmX|hGmp3=pb^u!JZhqcgfx(J3(>iQ2)voSK=R^xg7Y=BrxnzX}sCGExLkq2|49-dh z`Trn;0?Mc~8_}ad*$)*wZ<7f%JRuYw8bd zU&2-ZBMl0x4w_b7K!r18aS0fg5e%hB{t62%v;xHw-WfWZ)O z1vyV8<05$$zWN_OC>KC_f$ghbk{}|!Ou$9r6*~x2KndB~g6%E-#ujgx#hZiiiZ5KT zwKlN@y)<8JtRq~p3fsOm*I?8?3eYmD$(ZEAxET zrd$9RORd-1%$8H5=}d1p)9TJd9L@IJ#=_W(w*>6Vj+)8(jOTR^r)nc!R{KrXc#qb2 zFlz3Qs@(>w-TJEB2PH_N>);uQ#f0JNZ$ zdctOeN-tWK7q!ZZQtd^l@`S1c@}gDy(rW@3wZZh-P+DC$r6!zM6^g3}#+C*4mH2fR zd3P3gb`*HD=exD#xwYrJx9596<$1K{dba0!cjWp*^9leJxnK?I$b~(st+3Gp;fh?p zCwV~rkSlWiTQL63X#b{c|HkY9peA$>M2p<8FI*AWlpffe9@LT%^avFKh~h~$z=^QO zSp{r>kIu~$0cuC~YDXiac!O}^8b?%A5@*M011 zUGTX#fQB$P@R;ia^fhAkRUmMHM_&SYVMEJ{GX@= z*Qf!7nO(r^-B@m%2=p z{y1Lp&1A{9&q{uHQTpR_`A_dEuFh3oTWq|s`ov}Vsq3q{Ta4m6L+CqwDK|S~UE1$n z@4R=t`~J1Qxa)&SfGb={s9Th*+f?)&T8!Vh>lD7v@n}cZ^Ln&*6 ziK~MTSF!iku(6xics4e92b;2?*BSpkW6*1Dpv~&p#C8eRI)La?0P(dqE(#uuMO3g^6cDzD6 zQK1~Glnqx%M{4BbO{(Xun(1!s+acXNMZY|(Tb`7-C$bdlGaioltguou-4qm_~Lib!U4_;5`K!WG{A$! zE9y#_6voR1){;QMGustMC(^wGv1M0ivYg21%YPD6Z0XKC0Wzh!d36SrBMAI5Zv|nvURVgeITo_LGl$XJ>Y>T^@if?7*}O z7~{}-0CZqI*tZ?*S@#_lpuK$n8~djxM;}g)Kc1d`Iz9aib@urLu*CVN6(2wT?bC<9efszxKO_45;cuVM|Mv0h*R!L~#|Iw|cF*?g#}4bk zuKnm}|Lnub=a0vq&-Tubt*3A+H=mq9+lmVd3y4P03hWsAgE^r>ziZVyEY4<9jm->p z_Dd

H?3hyi5P*lk+7)8`7(g>i4sbT5?T(*Qb z6Cy?#;0Kdd4Cun(6o3k&3{Zy^yan4!rA8-Lz$k~pY?PZ!N|RM%wd?E-9k@N4T?=GK zd^7g#NP!JtMY9q>g+(VbBa=G}Y6Kzvjw@srXmJ^@knt6AzEZ(gA&HFNbHzUvOCXT& zcR~^(TEulz4WL5Gk;}LWIa1+yAtcZN4K{)JN(o;j<|{>fxriqfa3y?>gu5d`Bm^sG zN5p0cwzl|do7_bfcXo&S`l7x9a>e8pbn2c0XtBQfVr}L5`U>ER@$L1|?R9__%#9W1 z+Om@?Miv%FmX?QCR-bKd&vAKM5-C?K=JR+W_O@huUAnO>Utf@~&B@m0q^q-%^?AwW zl9;t3;cQ3+Y^j7V67hKg-VTq;7Ye0PnM$eFs!ay{uGw^=Q|>B+dJ#*`o(n5Fc; z#Wqa0DPert3&zKqx>5(0~#{} zzi>rRQ+iNydT>id$fL|qzz1Z{Oc1vs~@;l+`C$H z|62XStIZFuK8d^13a}yOyRQ4+bwBv7I~M5M&X~V;0HTQgrtL1!U)%0|*B!(UVfzo-hBtne5scNs1HVXXMO@uF`h3jgw==+Dzd zf0`-%<7~}emYTm^eEj`%?bXrJnyJN5SJ-jiPbOWE}LPEJx zvToAQw`e(cs5$P`9M6%$z&G`=t6eDeAZBY2y*Ze*jzz5wq^ z>JC1YLr7)glUal$HZhS+N&w~jLdlYW^BFl} zMuvDeS;9<_F;iv3X>vxkoSrYI6-%fELK22g%;pkNJH#{=F_lG5-Jzv&8EL%XG{I?R1ak9ZtPKSFcVgx8ErEiwf};Y;V&m)kd8{XO!s7BCS=V zu?jU-p31VLux!C@@LBrHzw>Q|ZOPW^^0P%!%WQelOzfSR zq&qX|w`a0%zb*8cEf1QliFjERF~DkDG(l?ovZg#plo zUSl=s>?ZL14vPxl?9RO}!`YAEaIT|M`^l&M^IwlXecC%ewH?FhoaQ|M7>D4Q9Xz}v zkMPig8c7oz*bk5Q&tUH-&@pTRg*yHSJ4DVtLAv<(^9d}jKqi*{{54m=vWk!3_48jp zoc;Ux*{^^lKA!%1e*E+4(Wm2s4+oC3UF(V6d}KB5ne}#y(XnScJO#gN|NPi~42PbZ zj*d*nr>4^r)9JDC7$!uVt+j@uUHt+0Ue59f=uM%uIhnzty6D`re8m+`vxqORLsJN6 zRl{X##zoVI>F=h(eN7bq$Q74#;mn5Y8xDSJIE8@=n?+$W$t(sbkl6r10+0htQ6c5E z5G?>yT=tI`p|6F(pfs3OW`Gt}jRnX8WkaeuVH2@cvkU8T3AvoF_`h+5^Rt(!69g@^Ux-4BNOL&?RnAvSIZ6pzCf$+4eiNSRLVRR& z2sGG~i@6FRM=s>b1RSZr8K!_1Sb!*maOH?N91)8p*xcl;ZgLm4Iq%qoQ?Ihou&7@xtGG3 zamh4IF+*3s8`jN@spiKebCbOJXM(l2BF>svDv&4@5}jUx1Ps+itJY}M!$GtMX2Y>c zXb`M&w_eY$j*l!*y50>`&U9nmw5Ciyy7#gn>RDanM0LbiUF2wE)No5QwK*K$9Eff5 z8>;muRQMB1{Yj;Mgi;@TnGe1k2>MYFD*O=h3LiqL7ope#U*tw8awinuAp(`S5ldl% z38Cx`uI%pf?Gr2v=VPpnLni>h+GjutO&+e1mnsBv1I}MrG9-S zKE1_0J%wJ~1s8&Jkqe;0vn$7|E62MFnxA!seCw4 zaUWkEjW3PB7KZfY1$O87c4m3DXSlUz-0no(=|e7%%XVfgFGww+7IzgE=m^oa@BgYt;O!jDo9- z!k-w0R~SVJKvwe|X#U#}}2~4j24H%5)h_ zcI}CE?TEhF8ROD@-=#P1#z2D0P_hdl&6R|@Ny)lR%f3T{*$|JBLjTuw(aRmln|-K_ zKGa$tYPBz8r8j-KClzS5FMWL=V`C7tHH6y61Ep^fQa1_7o5Z9oV&WDlo<&L6p(gR@ z$$S{HNEOl2B(!uX4JD^#su*b9aGrUrNIz1fW)#S%`2ZLsq(m_cRz!<&(UPGk@nD2t zAe7%9#2*Of4@UEc9ta7^B2t!wk|(BSiD=-OaU#Y;F*8oWd?=--$Y@zI3PwUki%D5R zB8pE;=aJGl|1a1JZDP+W-G#8mWPd&h11Hy=@p^O zsvt&X01@LokmS~z6hN#m8>J0TFS1tz3ckrEKRA{;4n*c%fx*T%n0W@nj#0O5)I+W? zL#|+1%^aH*a)kqM#h%c_0Gi&$+IsZ2tp@lqm{ zQLHveH71G1BvykT4Puo+sxr#eCb`Ne1EitQE0jjH#-i8R3_80J(uLh>*mal=_AN(F zw+En8``O3655FFK{tK9V3fv>zk=ryoxb zKAh~I1A&9HqfciipU>dH(_fsWo2MUsfsLpiem#SYA^+|y;Dnv0=f9qx{&IE#SmN{P z;ir>>PsjTokM}+t?w%jm&-Sb*4$G0vv~M=ptwzVb_26Xp6zIr$40n0s0pJQax72)c zXgJ!_9_(shUoGO)0i7@}pu$;Afi!Yjzru#UlLi_@*pW6*hxY&KbM?EaaKCE+xvbl~ z3~0b}jEBFuSRkFD;07#88-NG1v*Ja8RJMnZ9=Yi`GqT< zZLUqSHpW>SU$|mvWO-?9abav_ZFF;Igd>^c$=>j#3j)c?4rhIRb!*`rd-f&&-K1z{ zMD}h}H8-wZdZt*I5WF8_%?xkNPHrttZ>`U=*{fXsjzB6F%Vko9LZMPAnzsmH_J@wBDr&JsOo)h*88rM_nmR?+M-`Sj+$zWny8B!Z@4$w6g%7!OKZ7HYzf6R z2jJ@wgYNPmVtF8;JOE$rkFW5@RR%y`?n;0heuQ#gLa8^t*b`Ue4$uOj3pYZs8==IV zQ0k5^b;Fh387#StExb99e`6reWw78jJhQ}`Q0hl24qryJwjo9o|`3jhOPhHqz%PdnPD z746-c1LOng0`2=G+xJnHZ!^lLG2Od9&ASdjMGB;gFI*AYoDtT7a#mA>KgkJyiV43! z3xq2Wg+D@tG^YhNrufw-dDh0?u8DK0OK@#Sy49R|t0nEu<8-$t>F#YA9vzvUU74Pp zDEAJ)18KM0Q*O2;-)v2~*_L`67HXnA+p>Mya{OC!gIe>$o)$*77T;?tkL{?6@2XDd zuZqJ}-N#kl8!EqxEsYo`4(lrn?#%<=&bJ5S(}VWvMSBAEp*{N19s_8P!5mL$vzg4o3Zi@u|m{KzQ(X}J2vSe55wW$=s2d(Ud`O*TYNG)GN7ik^IY@A;E^ zFCK-zY7Urg^qQ{ocvXG-Wx4C~@}I^_za1<4(?sRJJ*)j+&uah2Xz?Ft+20aUu3!_c z^**@KdEd3`z6(%KEIlk^a;UYb=P|e7b({iNLbTKJTNQe~SB1J=YMc63O zz+FLqIKK~|#a-UOeI7QRKa?WCWeN!x0V$nNe#oOn^J!56`duOYu84YHNQxH$@Bktr zA|(qcsX|(+h@LK@XNVXmAv06J%;Yn(`NK}-@R%4rGndcI6ATv!h6_a_h2qg%=@?o9 z@Pn4JLri4j;yL(49=IksRZ7iJGP2bpIqDINW;9nbTA&#((M*(UCTld$8`UqKXkK;b zUia$X4ryn}%H>hn#*~aTqu|b~1uJUNhElSvka1)(fkYt^DWpOrbn6vr;jDI^%D`0_ zb`-j8sb)*8c4}Lq-hxtXN|akt6?kh~s@+x?w^f!ct%GYjlAL@{{qn1L&%{x)H+Ejm z(psh}9*jg?nRs~hdFu7)Y?n6}w|DtI?~8+8mV}IzgwadG8Ra3&%0NcBKQYH^AknQa zIe^kwG07Z%x60oTYebe^<c;}vGpw#l?(F>`G; zz!gHrp2)E;aqLO#dlIWd0?-1fxBzq^GFXHBU{^+JVCqBJNpW{u9O)!TGBD3j4)Gw;K>8`k4J8`QDm?A-C; z^WLXVjt|g3{KD|_{Db4eneFVva&m~o3gF%f_D}#Gj`P#K4=20l$M&-$`zbg+Klt?V z_?M4ozkUMn@biBFmN-8Bba?#X=;Y(!@yDZ+Pba58pPm1D2^A+t04D%TobB7spy#&j z6hOrxqKnZaCKw($upXW`z^?;a_7TiY0Io0}JF6`A^@nz_BP$)?c^^t`cUDULjw@_m z+AF{o56MBd2jzqZ0|1pns4rcj|FnDb>i~uGwBJ$3-UZy!zVqJTXORR7%%Ny(5GvFcP;to>cEA-H$Q9s=8x>Z-71}Rcfdmu2 zltVxxZuQ?6Jg8uqB`mH`Laq=x%P%i_J)A(|3{ya^kQyLVNc0M^PA1ekhlV%>ew2%V zbbvA7D6t*D6|gVW$rZA%xB`v>*#SfWp@PQ-67yIWJs^-P5P<{86k}|uvC3RuX09%ctSpT$FHWwlO|jUo_@cKW$)Z@g zE|qQY`5Rm7>q~Q63vW4#GlHczl9d_x+Kg)Bt$6v>&inDzSG0wf)Y%v0x6euQ(~Q;k z6WdGE?DbhLYZZER?QDxSH^plkoHtXe!}z(Ombrnl+1{+V?uYZ;u?xL13q8?qJMO)D z9P_O4{zP-^XiFTkC63+_O>PM%HV2U!g2}ZZFk4X-LZ}SJR|ev$f}pCw8i)sUQQ?m- z^}!W;;fg!}Fd%dRu)zag3WY267%FuiEOi?!zCBoUYp4)Fg&Qo=DDfeb`V-3nAykwE z4HgGsiv#jHb@sfZD?Ph)@;8gS-y`meOfYnn$mq5(!A?`i&um-XM{h> z48N$Rz(hRF4TtL`T4aSk&J1hG2yRLZXh?=!QJ3ge7k{%p`Br19TXTkcbCy?gj$aEV z;Aw7PTYhi{P+nk1u76vOZ(Fu^YnE4QrdKQ4rw!xVo)^$w7}8!G)>azXS{D7ZJf^kc zL0k31_S%Hb+Qh!v_@UZ|xY`Fm_}W-}b<9v@^k8}9KuK6%Q4jmTGZ_1;m zYNDStMvXm=9&f!r(H{4#GyY{q%uHM4`==rAS_0oT_`a_3d|rKXxcmyO{2O}3ztXGz zJEP+Nq2>L*q|`s)AO02l@Q1#*tKAP>x?&+$bj7%I$KLFVyEPDhdnox1G2M-t=|+KE zahqA__PpBf-Q)22w&?k`*txd2xweFb_OzwWti`UJh3>q$-om+oq6KWhA})Ukk6FTJ zE#cFb2q`PXq!nWP8aaNGlE9|Lb7_fuN|KPABqpUwiD@z-N<~8JsCg!Ov7TO_VdN+n znNnJ^m~>x&4-*W93$T&G{wQHz6u<8-zc-TCcaPimfZLbI?N8-mQM|!yE-slvh}j{9 za>yZEY7mba$RmYtagn^iXu(j7kQgf_#!1Kt;F>Z zqiL#<6g4wd!${N6)3vk=EhSS+LTkyndUAn*QmkWCDW5%(&GgC_aH=)BetXi$du0^9 zGs%{XiVcIBt<&%|Z~~-4VFdpW0=m$^`Rq#dx>UI$k}r!COCsfxSh*}wuE-QXYcj%6HMdgEAm6fyD}#)I$2Q?5*9U!O+bn#u8a zo9FkkAZWZelvx_iEDL5<1Tf0{h}oXlM7RFrKw5M4)Y!9yO)*QRm)iE#$EOOw6()y3 zXW{9L9G#A(Q*Y^Y>qf(x(YRqWZ5a$~qmgT|3GBO~-F@-yfo%6c>Nt=Bw6N`pEe?^z zE&}hGtbBu&r?YUhCbk-|kbX;fA+`ow)+8{RVLU`{+JQFd2A;;i*Bbb0Jx{6QDzpNn zUaB!EbrzN0ss_?o^+t!;vJVH9+KwG|s6)ruiT%Sz`$t6Z;FIIi=iSdg@BRGI@#)NZ zer!59GM^k%o!j z=)`_}Y&$+QA6~ef1Fo>0ftzvY4#2Kzl39&1Sh`>YyEfRwzZi5oxdQCVHpI%(=?HNN z1HVgQoZ8QhZ6`<8e^Ny8yI{rdjIh48*}O2X_(Bw4aKd7i!(s^&SYbaY%z8M9!Z{}n ztoufAS@2tqFMq|Z;lj@o=~snl;e?9cxI+6ISC|x5gUq6pn$%(g!W9>;5f_^~PjTr% z0at`86hf6!2%tiJ!4=MSQ6wkwbs9x2H7KP9g+wnC>!jeBU7)^{RHy;3z}E#D2~P?5 z!RdG5%z%6ytPrv#0`?c8Ky>L@0mViDgC*SF7Qmv-E$-~r&g(7K)Yj(2CN!@Y-B_92 zT%FonyX1-&kSkW7vDPNG*G4v17;8&_D@IqACRUcF*4N&0SPLS-noP8*!#^b3)5oTHDfC&+1F^ z`t0P^>bvd5H>`J4?CEFg!`QjOhM6|>ySC)n_Lzmv(50U66>Q|{Q1o1H%$xSu=a1qh z9z7g=oWN{}XSBr7S|TYeA=IW&N_{w`CW2HGPN)vURfpiJLx+HBLWZglz^DwsmH7>o zcn=kM0<;(cbW!YqEAhmadI8}|y#`A?2g?9pz}N+$#DiGkNi6jyl=u=#0|=#X68d0K z5VkO=zaX$L-@iA{w+G4_s5{TAEAKa`XwUX&&vI|ibZgJN(~;%g4Ibe!KD`+4o*W>r zE`&Fbcir2w09yETpnW@Y{5sHn?P$NYY~NN$7rxEuK8G1}R18uBQ^8LaScNb;#q^sGy8t4+LJpW@b#=H7_%Xvp$uK>Ighf?D!Io)(0* z6^6GLgtq60bmRrK=LWXt1hiuUz;Q=mNM~_aS7~Hdc~n-oeRdJow4?C;l zyK549YvcRt;<5D)hw2~Vfa)F$)!ZMfj>c9*_Lqe876kO<`gEZ^J2UTeqHcF*-0sb| z-H*DB&AfxlxhYx5do1$IW*n&UdEFb*0XBr_c3d%=e)d1~M11s3oAmjOC$>m7$DPJZhbQ+9GAL zsaYIK7MGIAC!_e}45U6YLqtYNDOm~{T29ZB(KBU?bTKtSNW90xh42T%09Oe5qXqp@ zKoBkZVt9RV+MNLi7P*T+7R1GmrL&(q&P#Qv( znv$m&E|*O>sboZ~c_#Y-v*QWDs&g8qj&-a=u@S83SoGcCdc9eD^?Nb_n$rzTU{w>o^7-%c$QpngCR68Vp-{Jxg!k zm@ERDT?AOdu_txx1E>(&c12bQ6+*KOh;Op;3|8n~t~GCKjGJl$(3Zxqr8Tm2;O5O- zqlIfUbMz**&aeXk#>mr|0LgFxW~lW7tx=-4$c;87B9+0eHSHQK`)1pr*?wfPA6Xp$ zE#P?cW6SA@7212A**~1yKYnn0{IL7!%ytf5zZg4iK7o_REvFa5Rn16`r|J0A_Tl5+ z&%Yf1?H4$h?7x2g`M=K2e>prn-`zdlbsRYyN4t*WgZ;A;m@7fj9|xa~_dXujPaPIG z7Ht=fNQ3jlj{vUhegry(!@`aZVUOqGvF+%{3bx(DFEc{{44i{|*mZIR(nt%d9~D-M z+J5O!;RFn1>gYv+<8n0EB~d^xQ>gPVa{8s8A!QOy0nGS2()g!n@q7F3ub|>9zs(ER zO|!ykRXGr@*#Dvfge!i#{-r&*v-lIR1QN2aTD1@=Y!`K#NPUG0iC4%j@*ql~R?b&n z?(DzwwnAD#)k=|CB?i){#agF@Ceqg7EX72)0%lJxG9UmdD)cgm z9smY3=;q3yyC!tPQ-f8CIChFTa1y$ZEd^Y`zYw(VhP|bLD84fB=4=aC+x(3!KH!S? zTkPqr?Pr^C68iA^%JBN~#Ky{tjn$VMt5fSMPOf;ixdL|mu`TfK5`A@%v9d6-vN*B4 z^lE+eJ$qwC$l8=}*)k#E9XP*T$Y*nQI9v{&4;w(FVu4)DS4gBZN~_mlWH z%_y(N^^7)AwLQHyXzO&Go=3|AY5 ztAoPVh7xK+2-U&(sz8_@fo@kmu&NVwi}*m-?h0Rgg%7U68wd|gu@K{nG9MCnkSX&g zlp$PE5;RmCge?jhC=Bc`2CN-$&h_rXcz5P_b>?_>0iiv5 zFrIyR-UIo*Kz+G@F1!F{bOP!?-9fkl5QtYtwofP8w=2iL6QD)5Z(Ek{6O_-R4DaT& z3%|`~z!fOOvO7EcF&f}R#A5_19-%{9vV&VPgPSvgzCeX>i_LN8WR>t&K$M)66 z_147oR3obTqT2Z0`h>p5gn`C*Y-9Xj!$WLcEVlOEKviU4Sx9e@e^0(oHwL<9b!Xn{ zL*490-Nd3?hfuC~lnVjnLPWWcvRsI;VdMrr{|3Iml~8btP~b)^a3>ac67#)C1>WQW zA4o7iB-athhQ|ef3T4wVC>xZyVg-Hh8_MbDyrc^|I>5%c}2RR{rs2 z+5euv{GZ{}KT#fjgNysF_rXt{vDZ3duLHE`egN|zeGhM96K>-mSKJ|?Zj&-^lCxas zxi`nl-Cs5M&O8d3c^vrmY4E$&(06TN?>i#jcix@txI5QzcfK=vzAJX2`{80w;!EkrdN;6Z(7YWo#yww zrny1W0>QjOGjEPt*e}i8w+8-#Ubv>sb`mGhGI*PGAB$&KW)7;NpfqY>DSWiO*88 z-`nD#7bRh1C6QyLp`&Gi!zI4tZ12G&cWg@V@Z;L)XD^r8GM2(1w(lvAPGx{AEDqRb zYBURtMu7=Xgpp;kY#S|GdH@F6Z7qNelfYsV*&F~T#7KRG&|(*utWNQb7M{_{F<5r= z7M9KoSYktC*w7j`b;d2dnPo7u!CNNtj?v5pT%k9Dm18h-4Q3wrpux=7n?**e1e$z0 z6hLN&((F)Mb~V<0o$WwxKLj$^56#v?tNGAwfLlDWzrz7%$M$m|r)~JI;b6~rxMw=r zHyXr0KXmF20|1-uzVC5D-WsQ^u+c7 ztb6)Hn|jxoS#Ty7U`_$C(7bfPa(q=U;mlTi4HajOb3`A`93Rhjp`6FadLh6Y$i%nP zOS-sBn*1YITr_|nwiOp`9bZEQ;<{;)nJr4EefKVs@_^cd{vn57L&fEl0jpRwHW+wu z`fM0>;UpKsfnC3E)$TdDLMJnS307z>BNdl8@wK@GWC@8@E!AqEbXqA=NAacFQ+4Uc z{WVlTuFy+FIw+w|EYgZaIw^n(sX-<+Lf#Ol#K`y$8Dgs?6{wI=APNyjF5Hm`AXh-N zKqN*a;ybzG%iJ-}7N51n+t}u>0It|%z1-ZK*jOK3M{*qN%j4^?reX>atgl#Gp4?cT z*jyRiSYoa%P*>(@%kv{E3lqzWuhy2|Z?CLy*R}+kZ1E0H#uv)P5~WQq{-N~>0Dl~M_JXKP_~?)l0LbM+-@?OFfEMEBNM2W#}{#z^b(aQpml$2|S<9HnuN zQ2icT__hc2rak_3TkQ1Hs8^4}rk{qtZoNC*7B%(s?&PD$vF3>3#xO>G2(2!N(GWb` z6f)8r%0Re+TpLaVTu~baga<@XA5Lh9Al8SI8p28Sp`^M{Qgtx7Du`SaK!Nh7R0oi& z14vZ?L}WM!zRHhK37bbq<=*6SKXQdXsXUNS7Kkqm!j%LMl>`qK1w*ue3LGd7!~&Hd zYf->Jk$*pcjeNhJJip#N-#*9^KG*`^!6JWLallZKKeoWHKhL`t30bsf+-XN4A&X4U zjx4XvEby4`*O~3xp5@b)>GKrj{W!y`CC$^x6)oxEk5CbaUw8N;bois3@JE>NmYmRL zbVzenP!lS!G2Op0#jhdJw=TiEF5a^?-m@mby*kOGHr1mx-J>?sqdL>4GSj~*E2uUn zv?(wAaY5A6!n++sQQbvRUC7#964hH4(_b0eUlTV_`*5f}VXz?)TNgi28{c2^u)pd- zUqx(RWo%FF!>)#e?&iea=0s?E*%Uv}_@KW&roZNHZ+S>hiGNRlcTcW+5Bhd**3E%T zmqC=v5b8QU;~E^Ho_>Xx`U5fT2SWOHxXf<{v%kgVe2>q)O3Za3<=>Nz{Lv%KDe7-2d^i_+MX@|LJx04*)IRH+jz1d(PH*%vRr-t-dx}_3itz zKfTQT^LW~y>G9v-;uWMM1vy1dNtXi*pkd^UeA#e`e5_nCUL~Kb zmOrnNy{MKxE0;V2Xi>l$$>z}0cc>{mYAT;AgIv2NU5Gw-ii4`x;J*SytaStJ1KElDiWnq2r~2BgMXyZ116DkHOTCk*9TUUQDlW6fC7t zWZ#n?ogiGX3$}H!*(x!cB^EQ^V&<4_Y@>BsXV_G0w$$1kok3u-ASn;K2tdU}fWi!^ z0AT|zAP0kmWdJB*-q4xWbjEd^X~SUNGFi6~MAqXYfXk>U8<`r+rjU;h30KYu;_&(G)o`QiL;C&!-;_s({0;8I5p z#FqTPaeBP};q(AP#p&LsliiPpwzECUi4!UgE~d1fJGXdfRRPYo9|Nv{mQYX!U#Q>| zreLgR`-UT!3s50rP?WF$55T-y{JmAzEXntjuTdb;!VPvodLv7pD?OkS4oEZ@3 zJv;kVZ2(uab~vjYaUFLU!52IPt5vrLy}K1wt<>bK*p&0tU*m-Qi?@}N8ITSUokph9 z%5^%0UMDx`|K^1CbO1YEJrd$-AYv9U3>wl=Z`a~wcp zYfI18mR`U}g_A3mCf1k6)|ZCY7U(N;l;v6K((Lf^9OR1C#o5h;RrdTAcbP5N;ECB% zr9=(>>O1z#`-g_zL!IM5XW!G=?0UOZsZsFxTU)Dd*-J0@3*(Y`x?~0~deI{of3nSJ zS|ZlY43^If6ujv}zwSwY-JLws9si~?cDg<0#gnMX=7`DW$jPR=<4t$Rnj%JOQ{SXR|b+Qf(Ye7__APJ zDZ&-Sh)P1BN<)XrLUH9GxUvv@X$Uw0yoD_a>@Nr$C=47b4#bxP5=sM!Wx=HKU;-eM z;s8JzeV8v?;Y16RM+eHYGt;{(+ZWJ9d!~0=ruWkfuP5oAkJ3DxT=6J9;%lyGL5DR1 zsK^d!x`2v+##FzCB;STapZa+3x`$qnD-u1clRc_aJ*v|^s!^WRDDNtiUsYycT~=@- zIuu~ZQ%ppAZbWBZWM_Uv7f?ZDck$is(&(P@n7+#U1J$wE>Ic}WSZw8eY>jox zs=qXgMn*&)c zSk(2wjH^RwKjBh;#HD_ZOZ^U)@-0}0(!U=>{ea8-iI9Drl;cXty-m$`qZfEGioBR5 z-Xmo`!{t816+XjNaPU37+>=)7K`rs16a#tEO1v4Re$27}dZ{F0UCF<` z%=zP3+BdZL?{INfdSb7&-@noMz@Mpw>ePvKTy={B~Kg{xr^YPLyLTjYujO6fYaaFv?7Ld#yFWiHY)R%sdA)C?X4 z#U&;0;A2^Xk(@!m3HOCV4@I~KBHVp39@=CHaQAt*SRU>nZzz#Bl)}Ts^Kke1xF`WG zT8N7g;_eFxu|i_3ko-VGj+0U1mDEH9Em=WJQ@|ZR8wM*F`AD#$Ofps}8LyH|)<~b# zNG2;K6J_GDV$n#RfPog!Py%X(fSM+tq=_id6GKAFk<#`|D2vC(xD2P>p2~H9U+%S7=Dk|#yHV;l zUlKH35=@+k-xQZ>Mfp6QD93F{x55(3zvB@E| z*kx9$%w`o?Y&^4l$7p5gj9Y5Wwps(Yf^V__ocJw3VK8%aMrTHYqc;KV=*?`sd0TJZ z)S1?`kSjI~=55Fo)@`GC+h9b5aD@?Yi}st|r*{~QduH>23CM)VuxHfm8Ub?Xb}fcIoAJPIJb+spQWdao zI6O2SpIXm9?tcFH@Yl~rzkWLT_YWt(o*sNYa-8qmPWGMCMXj)e<9P4G>Hf!)y^klm zACB!Gj%;TKmJ=sbKuR$Iv^cp;Kpb0-jw}EMpb;qa0=<|ce|(Hgat9D{U_9Q{9XN-t z0qq$M0PP^NRNz!oq}%1lX+80~ZqUozhchDKKok%v^a`V1VFGAzVQ?XJ z=00>vBvPS}8st(0Di8sd5JMTn5-5q(Ctc+a0O2x;L7+r zQXY~45wavAHlm#iuHbJ8cuuI;;O=a2w-K&b-sVECSYIDoTSd5HnF+XJb!l>S>G|r? zi`Atmu&ymlt}TwPFEZB_Xe)E%rT5gO_rptbkwH-cN zC>1L-T9wYIHdxdqo5pO_m@Qh9Nv@I$1T5CZ?9S?I{_+dS(u8E5A$?1dP7m^)b#D$o zT_iWo6RYO%C9^|$vx8ah2U6en$ItXUnC`syvhD7R*1ON2+H%BN4B%B>CM4xj?YD>A)0vb>#8(TehVlHvI{-Q!WJdvl7LlPex)L;|jOe8ClA&FGLO zbZ}!im5bs_8(7P_dt2W82I@z--)w3$yqcX#@D#NQf!?z~G zzdj=Xpva@lpeLEZZCSzX*&#q3=#ciDkoMfr_Pnr;g7EI5h~ARBeWg(YC3k_aMG=FA z;Y0ah*!nWL?#jEpRZ;ylQG>NnxY{UuO$5F&3|AgBRN_Ba;60G*){nl~ zpXt({acv;&r-9TTu_-?cq`4*e}?O@9HgDF1^rd`LSyAn{h$l1^xf|lz+&-Y{$ zdJUI&jg)(hRC*0pc@5WiF>5@T)t-zh4|*kHjtXF-(toTfc%mk3tU73<%8yay$*8 zTO-!mqSo5)uXjA$=t|n`P2cR#+QMQsarv8s;tf*i2DyBLTDeZETBBF5GHO62*i#2`NTIyeA+=^9WIVVvK+ohuCL55RqfV zq$u#NloTr?#Yre}B3c}u@lec&mogKT!^z6wRON8GayV1Y%$729#Ee`avp~ow<`0(% zMk)oPRid#P@mQ5)v_d*sCL1Y{4HwE7d16|Yh?**(B#Wr&5_%^1pll>xK2{_fEfEhF z3FrlUS{|ZYAsr)O<|>Bsl*73y21ZRst7+L9YPN=wr6Hr#~@LOAuu~QMjKmi+}3D-09Wvg7C;nWUf zKoMF4ORa;`Pc(WbUF_&gY@KOaXWG&kH?+nLZ~(Z%XhrfV;6=lh-T=@7aK(GU)V3>g%IuICY;vtdskf;O zc8$@YHaJvzyBbJm(`ap4ja9F+!=bANNEcSPyY26SEfs99W*9?&8}#0%5Br}#9DF`M z`1x$_)3M|H$bNPNCzT^v6~{TiiPPN=Cyoy=!(ux>f@Pm@<~y9HW;{k_haCbu*n@2v zfFkw}0Z|xs_wv?cwIy!=pjT2bu0X}HF0Fpz~2~zcOdSX92v7a8>puoWi zGHd=zXyWhWdIH3Y?0-y!G%xILGjL;ARdSdA1MhMdvTwyXO&3Yw73xqC=YNguJ_kYtmnG)2#Dd?r z0;0ulT(QCBtaI4w-0e-62LW91c9ZoSa>a_1D~1uSm{?hSzOp#AviNcZ(#7QJ;>g-O zb8VisG7Gt4@!jy^-1w4{D;8I_7gx97n6br`x#hLRwT-o{?QIU1ClpI%O0`0*QED_Q zjan)b3;5gY&4rz{ciffNg5@dE@-x}eq+)Sg@{Z1Xg=bClZH={Wjy&36*00h^mq?g- zTB%gisNRFAv3)g$|X50-V5JC>RTHqBLlrIH14C zuQwmoS9G8~+cMqTvfSast{iBS)tTqjmG9k^=iQ0%>d5hgRh^k0ttj`lOpo>~@FRo@ zL_SWac$DVeoa)w;e5Wz#_9a(5{=yY4*`ZC@!HwBL4VeKADF4QE|Ath*hGgG{1Rp5C z74d*8yla!Zt5duHS5%~Vl&1r_@TyJou1oW6NcC+>@qLu)`#9C_X_{YantyA$e_MwC zQ&hmy%z(#P0Z+37+H(RsbAx;GLi+MT2J%7%bAyL4L3nh)5IUeQFQC03puH%lt2nr~ zG<2XM3|AFStcfJmM3Ae(z#kN`G!S3tGnnT-kaMd)^G09#)xOj#y~#iPe{|htb6i=v zFZeeTabKN?`(onsbe}%mRW5^=nc21=g(+rPlErKiQ%b2+a;C^KgP2mu%(-_mi|lfh z>q5+(n3=CIYweWXK7H>*{A1Tv3T;Q!{^?n3J}f+AunFMJTg1l=(1(*%`v<@g)?dJA&C2#qNq(?M~R}NqNzq z@w_i}tuK+?7t8F6q4h>B_e7F|ZElBc2N$(gxgcCMVAuUf(BR*H11#rl;pJ-b}Ps!%ej zWVC8AtyV;7;8U9gv{oU#UCii^Gdh%v4mI8qhDEDm3*)~#^WiivTkZxYcu!0+6mX&nRM$WfViY+v}g;8l?)>&2> zEbA@S&35ODLGR1)%a_EfE&A2*`X|xrbLo~_e&|r~&QbO6PTT)^dHI_e^(aN=lWj3+ zVy6wio*nW$FZe}q;Hz@Kt;)co>QHWN_+EX?o2I1omK1h#9HS|mQWvyP9x#<3Fj*8! ze$?@NbMvEEeV{XP98Tf+naF)6b)3oVXKLq}-t9GbylRJ6X7`FMPJzkFMbPiAkXRi6 z6+jWd5Ag^0Ug|#os{iy^fAy;YGrGOt_j=R`uIDDN z&lMMN3FZC|Q|7LD4hR-097lTvL` zsLei0fB;v>!S(tcbA?3(;YafR2h#3) z;0pTgNA~X4=Hbr!lf8ZJ!QRR4$G!J&-oJYN?&X`euin0Sy}Px=<($eSQl&znR;e^< z@L#c1%oT9=1;^Wh!w-UkH`3#`8qNoVx2->Zt=?T%zNgFIkYumsq%S4}s{_aM2Ybuq zyGup8#N3_5%q>F3``NU&Q>iaT0WH$k2GdsuGu8&P)(5iLy{U|@1nR>WY6lFZGiJFn zhSV9e1g_n2FfRJYyIh~AW#>n^qwTFY7tNF zjwN@;P`YBsUEr$$sKk>VCJ@_`04)fuiSw}f^#)5?fv6%kL% z!=K{AeW>U!4D7=N^yK?@=lS_uF;bQ`f=~6iVxS_iuROlDJhrDSrl&NzrzFbfioX2F zzPyM&Ocy=*5nZ^5&ccX?Md7W*VbB$&q1~lneWhUoCEFi|$1OF-5u0Nc8lwpH5%aZSbJfAK6#+A4ep98lCyQ@R6#X(@ zcw@Zq=gGofrVDS+75Nj20~bq!mhi!(^5Esl5OQ@0r8b08A53iuralO!wguBVKtgC8 zp|s9WMrSy)Ba+n-z1kVK(UtU~EA@F-(neR@dRO#HcNDWblHLxrTD#DjlF_|Ml7 zPHqpTwFNUrn&I7dYpU2%I6#lYMbOX48So+g4{syJ;CbQ0eqb>YhU;Oq+%I?#&z47$@$&CH! z^u3w1{n?D8>70}4T*!vWdq)%5hZC7cN_ z(o-M@;0IDCf4PrO9^z3R^OgsAq)r~Og}YdLN+{>d6#`m_2<6g+D(OP0bTMB_%oZJEO#VpXWa0YfE!Y)GDB`CYp zz$()+@oGkef?h49*NJJ35_&VNS}i88(<@}Oav2RTqm?P>;A@s^nH73Qg`QTSrq@O{t=_TL>R#>fu8y3&e0KI>@_c{JyH9i820brGkHvHLAaAKKGjc4V%%B`}*K$n`-4e86PB z-$Zc?`AOG{*ROUI`a{%w>T(Ot&jc=y!0Hm391^o#VYMqQcB$DeMD0Ap#zo8=1A2;} ze3MyZwTo>Ik;M+rbYR5_;0lNegHZ?vwpy_Ob=Y`_<GgY;uM8P zO9U1xoHpWcN?mS+_e_0psr&Rxlt7ooY;Wo!Ox`I}o!IH9L(apbMu3_QUkJY-iX|@^iQC%xyjM z+AaVRAQh}wF#($k2Hw1~{d#5p^^@Z|;2!4s+5H(ia{+gO!sZV~uLt#bjh-{O7VbVn zU0y8UxBCmr`2}2gfomTCA%GU((|w}&wq|k7hVKE8_$N_(cZH7@KUOMy#=zL~k6hZn zT-ZLtd8z-?F_0g(S^8RF`B3rW+Q+pkP>;vx@xrNL?sJnH(Bcx%!U{);dCeZT$&I-J zYu<%i7c0PxUGIXZ(86hAAmGLVjo~zEp(u1}i&|k+N)d%vFBj?LLajmwn`Ubydc7P) zRX`5dWOkkXA171PR*TAPQkjfO6wtz~u~^_J89P?Bu%TM3L2J=#%sPz^6_#(VFe_o- z+G|V5v3i9}Ws#~Z5^zW7@E0^*VzNHX_07lM}%eYbr zMeV~X!m%3dw+X-=i|=S`<)N(j&`>M$A=0&PbuUpMcAoVAx|pcNcbmW-jRrV zC_FuoaF1mCW2JzjINg^YeU$CJ5r1IuUoD(&j2^Rk52;OiOZdITqCG%&<93GBWUSheVhXLQFhx?^Zvu-dTP8MWLUP40;y z_r_9t%vB>Lm(~6 z0*1>1hVX#{6+wd)!5~A}br2ssROU;_a9QXGKJ0OM_>+o=$M~?3(y-x@kinuLAd2pM z|E@g0&fGg4_iy`L@d%$jQl2_ok?M0rZ+Tn~KBl`2pyJvUeYmLpf~fxd$o_nI?JbDx zE{y6bihNic0bKC_xS}ky7aulQ5junq9mc96kMRIAQO_!3o>j#?tB!wK9sj60cBndf zusRB+Dss3g;!$PTQ+RqM1a_h*37jbQpDgyDD)yU%@t-X5pDqcUE(@A151y+GCDcSL z)db)g}K0N??;QiM(7L&i#jM@s^q7WxzD@gGOhc1Lp#C-YBci%%EIPl?qWV%^D7(-E=ZaIxlaq2iEGax`Cf zGMCGl&F0KxoK7d7OeP+W#~+Wz9gik*#?rXs*}Ta-;dF^)u1YdrFCjEb7g|LN&HTkW z4zcQFq3oDYbTpgCnJwhcm5Ju7L~~`rxdP!_4sSN&bSC*^CV@MbB3Q@}!+jK4N^&Nw zSCDh`Kug0J=s1*tGcgJ+%t8yR(9A40GD{FFKq4T9uMgCLtGzmT^)_v4U2H$)Vi9sxUC|I(iBG7UX;l zB~L@i)lze{v^*WH07OH@sVF!VwMb1X)iBC6j0!akucDQy=y-6iVOMEasB1={rBCa%Xib(=TBA4-jmU?w=MC^f*XvIUuc!LX!ZUt8pC#) zV^3OB4mvV-dhWjOySLey%z6;H+z>bqTv6aRQ4&KL?RoY7-M-dzY_)T}UctpV*XcSj zS&#K5u5TI-666&fi8R{3myVLo`<1AY_v*DHVHhb zY8L}qAQqm^#M7I21~cDa;R9d*R3Jv4(FlAZv{=P9o5b#rI-GL1TYYw}ySma{UTQBc zwdWU_vvV~TmG?~H@ygvE1&GJ11otjC_$-mdA_8B*VwKozQi~PFY*kwAT07hkV6eLk zHkZKybm2fucGP4yTU>UV$7%Q4t!^uj25PsXF1XbJy>KIEF1;57+<4G)FC3hDd11M_ zvVOX&1on?84|d|5mc_qHdon&R~NGuU!Y5N_ou}04Kl$ z*se?8W=nvFFaJb~A1v`t@A~}*kbK4VXI__CJ~?5o9KU^c1y)Y+e(%QlW5bH;Vg>qb z%GkFvAU<077C~I78@dAgS>Ucg7t{r;T6n+}Tj+rsEgS|6A#kGw+*SepfWCRPa73xf zZd7B@I1sf>r!@PzNyx=|sYojoYGqgyBArSCo8KGcMx)AP28z&FeLo2%3T)S?!e~^W zs2njWjV84jh{A^oqt1rtFjr`Ot^la8sIe$vu+ju^kSWa)rC9_68{%CTXFEp%T(SG3 zD~=DCCx^_F1K^64z3sK#t&KgOD|Xfnw}C6@K3BkX5aG&+Lw8 zbtkO!B(C-*twCTU`)I-LPhs{a)B6%>J#kd%iYTmV5limE+HG|v5j&DW79S>INnB`8 zTzHrOLTHblZ;gYUy_=#Y8zRPP!=6=zJgE$MR2@206An`yHdGZlSP?RS4~8wOU_wBK zN<-iy9v?nb5;|BE+>ZlYU zS7~&2NmNfU=8D3ofdXHm!L=V3-BT3ZT^t2m@t`=Yr8u+$AKF(LI#L}nQUUV_AM&&^ z{8?2L9A8owKUNRVnLe(I8>)-$uZ`@hiR`Hg10UaC5j0#L@Cch*`lRsIvw|Cwc{gTr zf1b_#Y3lyZlOXqgp3MDaGVkUT4mcrrp)z8zHk#O&Kx$4VJxE=8kVe&grjVCSfiGGDH(LWX9|ml8gl%?3 zZFI-2bj8v;W5_Ux%iU>9y_v+G^u?a!g`Rj~PXwvgf4TeSQtNGEo!?wpz(hg7<1GJ? zG=D&gXW2m$cY~*MgRsLOehWo6i6u9PrGF=u{*_qvXHvyqX>~VOTY@$_qu&jr?L5sp zo-F6hH%UlcV(K7|K61=_e8?O=p!XfnIu5DLN8~!rGM-DsaTo4#=h8S+3CCkm$4|me z9)+JiisU_x5k5_nJj+y0+*eK(sHTe5Q)RN5Qa+*hXtC&UpPa{Q z8D}KpOw-)u*ow;7*5Ft0UPRvWAjFsoPhm59P`u znQ~vM+LfqxW!im}{!ni?F``_HMd)yf94-+oS=hdpEcl2CPGvRQWoCyjQlni2ETJ{R z=uFtv$TOfk1mzoz0+R{AKx~C70FgVLYVVou;zE0Vt~oo?c)co+vojFo*_p!Ym3sgx zJm3brDfhU=P6yv=;oB?%8*q+IY`046R;kUZbU1Y$590M2+#Z9&rL#Kp7Q4=5)fp|Q z#cs7ZZFaXANW%br)it78i%sivXxuiH6MUvcVFx$hO{do5Hh9m_^9$4EmF4P_^&hVA zHIeYu7JLNim&JY6{E%VBFK-H z_|~N2SKk?sZ*>gcw}T-0@fe6t7ucSP->)3MV~ZeP&aI!kut@SBdVPP}SLyxUulvWT z=)OrGK3e$3jsRD9P?raBdJu;fb)Fer=UD9m(!%6%16SyMu7F+w-_D78uqma$5_VK+ zLt&?G7@gdrk{}YHMl4W^`DzhQ1tJk>fG!kbz1p|4LSZtg%)TGPg6RT?!USHF8%;6< z1(E6@EmS6x*6KqA>T`t-xWb~-TC|#LSE#T}6iT&Cp|<&4A%!&xvq)hQ$c=nCDw3lz z1#*oF%oQ@JRw7ml1qvZw4p6~6kq9|530MBj6)Kfbh0#JT=gH-#GC4;gJ(2MLSFT`j z4ncq`*t=V+J0CapwqG3V{F5t|e{jXd;r^S`(`~W%NG1bcTcVK5q!K0go8q6UxksAg zUG2d~)!uvA_FKvJTiO1${PajA5h~?!xl%1v8w3i&iBz{Q)Eo*_$9%;JU%t2V{@v!{ zCZ+rJQp<;h%H7$*-KoO8@xuM5#XC<*KRm|2d0g@48UD>g>8q)t7ZZ6KquFcE(w{%g zd@-8y>RArl-Z`AO(I2zg8x5=CUE$QOaB^q(at92#Ba+e?N$ZHFcSJKfV%VK=?Cyls zZcG>b@Vv?DKqy?iFxFVX|4NMY^t%=0J_4@9lrLN?qPG6GXsgn-y3Jg4c0(9{( ze!dOUMPt-teZ*K@$f4@+fy&T6d`MquaBm4rUrBI(N$@}k&_!5( zQE+cTV0WH>$Nf9N5)X22w&vV?faTg1_|y?R)={%8p}#b)wCY-QM7bp)X4Ms*awliW;ws7%dN* zsDQgK2-UX;Rk!9V@61>D&6oSnm-|HF58j-syhEtEvsmLttn**04_K-XTxtkfZU~|_ z2Gg5D7)_z9=CGCK@Rg?E)uw>errWE{w^v(k!L<6Vwg#@Yg|OO!>8-(3khTcQ!&pj3 zBDphR84$5Mmedom+#5{l@h7$i5}JZ$tAoZ014gp^2UGk;(gUAng^cBdP2CTj%?q8! z1rrMW7m98zl-yV-`}+d^uS->br#0SQX$yJY74xz$>Fr?V$49yQVEb4e9k5&%XqXFl(ECI`Uacs%X+Su%GlLp*U`F=wysV9r1(>VTI{t@B+A>sbf{QbkZ`<%Ia-Yj;Qbh4SJdt=X5q~_D z#F_cQ8TO6j4BPSQbVawQ_2<8aw)Z3LMxZk%9XTo4IQte zl_Ioa6s}+7qRTnxa+Z;tVI-%ct%Jsw&(OmxSVB+(} zKyuMv$>l#U*W98s2CTP4d}xn9>PkE4$=dC|zcrBivMZI{8cl8pB9sSD;DRSh5|~dr zw_mRd<#4{T%7JP;7MaZ`L}Bw!7`=h3M~<|}t{UA@qX#Ry+xoi3-o3oc$d+J9TkCXD+Fe%$Z8YY91`F0 zQU`Vz#B-)TyYLk#R34AYb4?4S*9$};ce?>CxoZnw_s)w(?zr%P>js%>_))uuLEwN|^{<}lctT9Zv>Fe`LMmCmFAPbIBYqp@K9 z4d8FSI*k?4+D&?w74jj*E=7b-7 z2FT<<+*TcIc!gpE#dI>0FB+*)DKW^zI;lu26KUlloeFS5V$j0T9!7)01W*CDYii)$ z35(ug)_sfCZr0dLYAZY#qAH{Pk-{ic7$pi+u0)mBK@>_vCew+5D}+h`a0OS!<4A?4GBI?8Le5tJTEJoj zAG|4(a%Iv}spLc=IuUa?BCOda|J4a+?eLIwu+Kc)hb4=neb&J)dvALM&|-IMeQ$dW z-0yF*_P6N!ThzUe%RBGMJ0EB}AD93h2m9~2yaTbEBbIRm0zQ``Iz5(hPZYcpC7+|> zpMofPCvwh_ zn7P)N*_LRyEYcJ+(G)Y*96Q<+^Q|m-tD&gFxTrKWl6&&34_J3`Bi^WOkZJiPhk}7*Nuzp z!A0~IMD*pu^y8ui3uA_g;W+idGT1Mxr#QL;7v5eF+EW}hSP}N9I^uD4)YF>i(VE!N znz*sLgz>thvAU$u`s8O=o;IXBYfKr12Ts#LCYsYGno}nllg4V}pH;;?tB4%OhfJ0R zOqKXg7T*~!x;<8SYZQ0$X~8egz)kV(u@b)t@aunBz+`#Q6i5Y@%HZj$kQq2!ENrGK z6x`2M2N7!gi8VkDzz+ZtSb?H4XrU@-q1um7eRID0=Y{H@7i(_7Uo&fOVe{7gNVWcy z`T$yEAhjuw*6fQPwdoeM=?1mwXIdkiO-670iQe!tz3~RU!IxhcO?Q|N0^vr`_AvUx z2zqA(&?cojbh$f(*bzG48amw&`m7{yDBG_;`Oa`!;FFB7(d@{{dyzAFQS-P6K#RFT zzxm>u^JO;(6+aPcexWr7taL_fbjNOV$8B`QJ?}|;-JkY;IBWND?%~t2)3I9KL>+g! z>U6G*Ln!Ag)EqB1aY$`kN(Yb8!(()EX{{&Zh9hF-!Cc|)5oRt5nXE zC?^XfQ@OmEyT`Mc$8$L+^SLL40^WRqaIQc)TOgUq5l^RzrsDWhai>#pN7M1g)4&y} zr_&ky>2%?Anq)dvI+H1#yDOc~lMwR63%O!qu5>9+Nh(m2aasyaM=dnKO%BC6T8WNc zs%7FetP1r?m6~0xVpl6cm{{o5N?MhQQl+F;sc6+oMvanLqw;x!QK6%kfv;eo;t*;c zO1)>K=9s8iCR!#+N!Kr@YKY0|r4-F_hK`z}r|0S!ID}PVU}Jz`*T8y+Z|!5H23!8P zUJWs<)f-mpk(D|FyB1;BqAPXAm3nlw!MM_3VmF#rn#`-s7Lc_D%W9ovwF<<#Qe|DO z1k$iF%B^&~gH_>Ktv+9`vob4mQOz9e+e5M>a(0uqn(|wZW{{g8$Q7 z%nG|*YW9GInWx9wZ>DOnWuvT-?=&~M`t<3 z!qr*8ivpcRsJB96n4MyWTLfZv39Sy1%_+9K#SV|e>6JLoq^@(R`$FbEmwV3PSy#7L z;qs{5AQ&w?9;Mr@a07d|r7j=}@L6uD(=B&-F51x)7t= zWb#@~XEyV>!*b!WUV0!fK418PZR0$*UiwxU&S1RoY68qSI|mPF@Eg6seTJT0S}s1> zKmF?X45yhme*NMEH@|*%e*XOJJn5zV>dbcTwVs{ZFFrXxeM7}>Up-$zeur1!ia)*r zS6o0>{ObMV%Jch$>&v<0^O^1H5*|(c^;g#y@O8YfgNGZ$W%B$Z#(xa*_+gfr@7xEB z8*#g#6Fg_WKL|#PGb|7lKuu=o4G;KIK371Bz&R$^<_f13U`%C26I`j}R3hd`up=R29!CV8<6EbK*BtKi z#+(5Q_n ztwk)=bGY)Ieg5t~=iuPz@L+HM{rc_(VT(4rLu%bwsMwvkw=;ErYdrVkX#U%$xK~dK zHy;%}f0Vy5a(8_sYjr4#J&?)l&twi|u|~34kF%M>8T7#vT3-^aKZ!PwL>o+|4 zl87Ctg!XhoTl&JoG(d}mj^z1=33Kgnv#oJ64?q%TTjS^2VhQb$g!X7cTkL#m-28+1 z*$446t?|~LB95I$j~JQ1Y7 zIHtQGqBAeFw}Xy5czx1XebRV+@_2p9SbfT~I+(HgwDHD_$>yw?2X_e% za|sXgK;}DgXWQ?A7f0*Up4BFf)kIHJg-%ukPm~9a;r&NT{hk)xdR+L+io;KkaYrMf^;T>!ZbQUO?Et|EB8GI*gH zyeoLI?#@E(&xD%4F4X*W5$12inxBZ(zbsYVB30ia*WIQz`jMObmYZ*rnr{=EZ!9+d zeWB^!7aRXdtpCeW?O#YWei=NZ{<C@9T}fthL-(Z4Fp? z7{crbqjiNZcSkOEMb33bPCf{KQWi9j?bn-hdoU&FQF_F)teArNe zz}ccZvt_sEDsO@xkJ=it+7q+h8_({Dq(2Cuw*;|UgV)+aUUx?AcBk|D3PeMN!YBFs ziF>@MLe6aU(R|wpX^_hpUx<%SP)MSJsQyu}&?>49>wK`~b< zpUf3c=J2L6j;E42vzc5%E_bn5v``3;pqRU>m`#yS$H}I`MAH$xndp-B$6S!?7 z?Q}eqH<}_CO%aZ#^QW@;Gxxc3_qc?+r^I{wrTb!1zKo1hPzn{~VimbmNhwiMN|jW& z+d;{wP_iqPtV#u|QVznbk};}fu!(n#f>NuX)~Oi{8dj5TwNbm$pk>u+nN?akUP~?3 zQE>)ZK1$CuG47e^Ic7$-k(QxfPEjo+s27uTq;%*Fdajv)vocF8EWBx@5?!qYfjcNx zs<9m!Wd`6AdMU~%GqKB!OuUg%hSJJVIv!_wM10f~E_S*o{drFvZ|RxoEzNcO{FCD2 z7xd)HBKF!ePN&J@aUz%Js;evE`PHHOV$X4YY<2O>wo}Bkt24Y(s$M9RZxx!4O2eKC zJ<-6~tURs#L}NWrn-A2c1C{YeW#Xt!e62;Kw@FM6iNh;7zkqR{i=7xJT;~$krPO_e z<+H^7N$k21JI|%AGno@kN>w^NDwjv?@v0#(+<+ERr%Pma3T!T55}C`Z_FSs586`@W z7tSbwTRL5GmrM3Tq%Nn#u=8y;p2d1-mNK5)cJ^)|CVN zJZBC#V&3g*VG_b>!89>6JbGUR)FXHj&T~3|TqJ}#> z%?1~+gvsJHSehlFE|uP{&{}0` zSe=lmO>(tK_AOEsDp43ja)VfoNR_Bu1&@lT)Yr#R6)K}lWdt7}lxq266<_G11swk& zhSdov%qiTiDaP7X_&QhcPedG!XqO{+bINDyE`ECoo)K|Hgk7}wGVYc z-`S#VeEt_SI_b`pX9BNHjqN?OIq$t zSn7^n?2KK&vItvafj1N24vLN>Qg;%$H;L4fy!bGE_CeNMOXhrg`a(wvp(A;=J$|}1 zX0jz_qA7NwF@CBgZl*Pw@Gu;<>+FaFpG$n0L~OsFfVS8cx7ZfD&=O5(j+|?Xn1b_9 zL!Z@#KB@^Dst)h33h%9q=&p$9!iRU3g?E&MJuC|8C=Bkv1$KNpXF5_6J6IG0P|=$g z?juCsH7DSy((B}f_u--jierXK;{Yv2@QK6t#DS8y9$aKsepp{&=wM0c2p-NVh1)7> zV#jLY#%trpYZJz55=LPX$7++t>ry5g(q@`7=Ua0K?RR~dYs;B=kU80uHrbFgRUZd? zlGlVySBFgjU{nT=`+!mAHwFT4?u?e+9xb``tmNis@y*ean-gWXrz`yDVT~eqp*DD- zE|^#!LTU^pH;0iL!x!r#=WC-E>SKtFF{Bodh^6LWV$+?aW@By=TCx5Yle2lr+D(wXqLzT{iOX+cji z!^iJNPUl9?7DUb9LZ=J;XNvF4mET#Y0iFqFb;fKCroJ3bf8Lk8))}|Xoyp4Gx#mMs_X+(Ghxzz~IdZ}pI;3~(E!S)> z6do)T^N1BPQk`_6QaoEIoXF-+X7HxcPiIn3=d!tkd_J*MxKJpb&y&sO$YxTd)3MUY zP|#IiQ`Z{977K1rif^;< z0qd1Puj+z7v;=RrhrDSGf8G+sZi-_gMqsPo;- z=Fb|!r7mTbFJM@~K8YLp;|RBezc^$N9KrPXUyI;}vXK2$08RLUcbj-xa3 z^cI1^E<#*<1ojx;)7y6S)_uL@P;Wlgn@{0;EwGn`)pqK1a9vKJ6KjFx^vIlNGS`L7 zeJOK)l6gK$-Jbw6fGdDNq<{@}Cy3ncP&k}&heHNpw@YlWGbi6-7unr%*BR!D3pn@; zPFBTg8kj4jE|+I zH^U1K`;h1~GJ{r$>NO?=>uLo)*rBz%^iH__Mehc#uxT7tozsfCEoQITa%Qxgp%$+Z z>f+pNyR=v?EZ{F0@tP1X3Q^(Ffgo-WE#lT7E)8^rL$0w(Rj@jN#rQp91tOB^1yUWj zisc4K3#C!1ggw2L&=n@1D?~D#K%y3iRRW<>C{Tz63MtkOO9qdD!0nn?u>$Le#S!y4 z;#1&?Q^8vtq*W%sBpPOZ_ZHJG$oRIAc!)u={e2Ck6H zQK3L}dMrLZ;2iAi?ry!^eaYHo&+jci+Ffkhox|@=Wp7R9Kv#_4e?6A_;%VOVC;96m zIcr1ds{_gGzEoyUI-@6()(2dXNgmEz9ssCFCUz&0`clXPY1E-~`cMXQID-W;l)(nU zT)`ep2ee=SSM(>5`w}57dg6)Qao|eoO(4Nlk3ZyqC#z%IQg?E;Ob{6?u;eXw~qBv%tFuJcG zvL`pJCl4eX6Ga$E_kAqj2E14hIZzZmSQ0y28b4eHT`^c14;M`eBKmM41BHP@MgEUU zgP!0+M=Qd|DkI0MqsOab#;RaOt76BhW5=su+luLi*2OhQ}6{Dbtl zmekqiIgV`Xww}mph^<9Wm6- zSbAq1y)&NCk;HhI!t6+4cBZnr!M}SFqbHu;8_Vd4VRpx`x}({hQ7avhs}CdA+QQdc z!=66~-E0ke(Hi!$HT-pZ zNKfY9+T;JVJLzu&ska|x1dZl|Oy!2n6ogOXf~E`oW=d}ps{EH4f@$rM>wU>@9^ZZc zEbr~3d#?wxU-xIc9!P&XnEGxY=|g|qc5l>HU)YC%z;{D;-i`#nd7SX(Y0kUx;;osg zT|)CdvGst|eoW~&A_Hku>@VdX6LH+7VlfFXTqxqr+&dXh<4mM-r_*?I8NB(syagPe zSSDB~63yj_r*p*9Y2wLP@kE$#I*KK6-t*2rIaEmwMa@UmeNb4^iu55 zXt{z~sian`s5NSOt%eCW0b^LHF|exM+`8rCGfnI6=mSB~mSd1(@$|^Il%dBe^_Kiy0dZlHx(gbv|T4h?T zHm%hdS85P;t)5w{hu^(U&u%cR)En1o&Fj_XwOZ3!opH6nwAN@|Z-Cf%(cpO1;CfSU zUa!(I%H%}cK5#`tC~yV2=oYigf4w5`MQzZ#rl60lL7UA%tj56QdXU@X`Wwr2KN0XZ zrg69C3WHy^WeCR0O_VkVyTkju>+*H)`KzI`S5Lifr!ICDKONIP^H#3-8yA8XXQFpr z*?~tPuwyf)6>6DOtCAZGN~2Y2cF4_cxy36qdrr*mU9)rB?ASBe_f7UA*lZIX0O6qM zp$XYF8xAcf&t?HgP&nKQr&r-Rm%A_Io-4WMv&?-ZbzMlDXA*};0-Jf-B^Im1VgV6j z5t-rX4*{GoViVb1GN%`y0vo7`jca$qVuiw2qX3qGTQ9C7a`;eTgT)Hq3Nz*kqxl#$ z9UF~DCgjj$I7Ib_sO}KaA0hf<#K1ui9%>Yz7Ln14(ZU93p+M|P6xJ@Z02oGS46GDy z*Bk7J!C^$5X4Gjhx~xW*4Fq*r;V3b<$-x7D*|%O?S}#A@VSxfX`r(c9^RJ#Sa5tv+ zH*oVA&T#*H>HGwHYdAlBcEfjl^-{PETO6{5oV+pkz-jZg01FI>NR9iLpbOPA%` z2}gRlpkYjB7ueBP@FpCPia398g~!)k`?}{9hKhg8VTW5OJRZdTqb|N1*#>@Jb(83|?cB9v3Ik#BOjb^XGpQSjpleeFqYPxwpmG{fN2Z9d+xS4;#-9fh&Z3iAE+?D*1d3XJ5-Z(2BV_rC4Xs zXf0N)`$FeBH#j^-tJ8p(wQ7S(s#3{yYPC_Vv#B)}r3zI5IPs)M2PfMfK5T8Ux9Ia* z3&S7h9&AmQZck)=oPe%)Kau-(JP#fNd6vKVD^)xp%2{tQ-cCcQtCI+y@~ zKz_eL9!@9qrx3dniCw@301PRxyXHU|9S~wLjX99U8c1Ugq_cfj_(}?WAc@+aNa;@` z_a`j(C4d|1KoX@t89;*AnY83{Mc;QkbKG=uEY{j03S_1!a`uPJG(}A{fsc*Gsuv&8T^iO^9MV}B*!j&BL&eekxTxOzi0<4_UocUGf^^*vgUJo+0@5gm?8jU& zbnS|y!P12OqS#(sR9``Gf4<*9-Y>(r+mDO=pOpoT;zP$P!p18iK*oFl(x`}Y5%Pg!b9Snf(Cb!HGdvlctx2FqgVCEK zsjq=9#tJ`9mhH|~A1*W=6KhULCCAITr=(miDPKS;;1cc~O=s+mCLT;AozA2Q2w8%K zT>e54pIFW(6boka1ygs0lWD?U@Dq7mvFj}$|Gd(=d<~9cZD-q;;D4WM5=f) zT{N93oXr-@W$_7Fyu~cRVvcz6zH~7U_P$uilM(X7ggg-;PYAM@CnDyFN%>-OftZ4m zPzwPtWK?+WLqV-jQLEI{YBddRtI#s4^{i@irN+2gZDdy%nWZQlxFXlEoUJFN8eM>(IZTDYfP0<LST1KUYQK@BC=~z{Ul?vl(g>j_{sKW@EQEytW zH*YjpH+`wlx>_Zwk;I8i1}Vpo_7)FC6t^KE5Fd2{@Z%T|Mh0@ z|9=1Y|J@q@fA$yu$Laci6Yc&c=bbABc8$bh01p+^Vs{#yUcKX7?YtB_&N+^=9fxPj z;ofn$_Ux_$tNqYyK0%QKM7w2BzR}CK5Y?#}k=t!5hf@WYIlKz@xx#a)@O%Qgkhw3U zF5n8c*lHJ>Ekct?U_=Ed%101BxT2`QXo924%vO=jDRX*!Q`(iTGYl2i#R{3z`J*dD zc8AdJLxq)RwQ}LKcMHd4J~5g=I3^Rv41#h@$cfPae$*2q!ZD(!MwAD>7wjF1?L{0>mIg_0sF{@bL&4{0IBhK@m3oQn5(!uJCHOFsAc>B-vhp$`(*Iot=*0I#t2cYq~;E5P-e zE8bH+zQtVeo&nF99&B@kJc(K%*BBHEhf3_!NbGvK4gAGfP@}_zoLw2cS7!IQ-RU)< zR;^Me6UY=|l~ReQ^)?;iFc=*sqf;T%agGHa-)+BNU3o{Idp9%qcCz`yc*)1H%n#$h z756_(=DnNDe?4CCYP{g(=)D(DGB+QmZj7X^4Q8~U@~nmi9VP_!$KcQW)7#)hf*oM zDcI4E|LBU=%-Pn=@2;3>jhk!%sE8bEh#swr8LNw$Xb78V3YlySnQVxdYKWewj~=g! z9Ip!pnP>=~st=!Ph?v1pG1D9~-4Y8j(HuYClrYwq@U$V}QC<9CP5eMrOn*gWZ&`SE zNk~^wU?=X{6@x`l{kVwU{4fj^Azk;sC-gfie6Hv#j2!dwBagV_A^!NQQC z{M*C%KRw3%^0fH&XsO?LS-?0xXrerL93MP}WgH&@GEp8jRTVK)6FplOGv5$PXo_EG z27b5>5u_z<2@4T+!HQjMjs;FwXuJ;4#cW-~bWP|)RmgZ{@K|}^L}l=Fb?97O#C(0^ ze0>!7fQ9C`#kQoSt~6q2=3++{c(N~c+#_}8l6wm%eR-7rd({3M+Q41L;62t*E_*Pa zJ%D5P7qSNm*@HOt5RN%?pFWgD1OI~kDJ#86Yu$H%kVce^S zaj!e#Uw0yh#ZUoo2;C3tGm^TB;znU zcT;`)Uwr4ZY~Q>0+p4EdwOSadJX6-A_q^x*Mg7x@*zcO-f9asy?@9Ker~3?M`7m>! zS8%BJC#rmBp9U{BMXh%xy{2dH59YrCp3s-O*O&dKH{(rj>RwOc>+YD{uCT4nppACF zm3FU{Hovv@i1qfw_4c&&_RRJ6oXyUn-JbG;{@S;Ll}AI=(~;aWZuU7~BE5PX%6mJWnSSP^1QtY|b*%uSYzq)La= zUnJp32uw73!vn^;0z66ct`f7aM1(2#8CaXDs6fHMZH=b^Im1UgDfr;vK z`4(OQx=@HO783%ReYFfgtdv;=rB*>1Njbh$hVo00d8&y=HO+xHPz+Yfd@;r^#uiI3 zei@u}u~=zcuCxlO>}yr7&8n;IN}Hg>!Yk5_=Nxs$E?4`FX8#1df>(Hd33|oD?dpfS zbq@vA_h%~akCopWul)H{)%UL||7DE!{c!$IV+HrOpGGL?nZyLuIazQ$lXE+pbu*QF z^(y~nviReC`CnIR|6}v%e{MJa*Xx%5eAE5!Z&`mmnfQD@_g=JcDP49c)-Tn2*ZQL? z!?{a;Vb_UJtr&dilIx{Xqg-xQD^a})GpbRO3N^`4(>ZElgw(-*{pCrf!(f! zjg&66<5J~>)54XGONGM?rNZV=5;ldEkXx-X9FyU=%!)(JAPA|=CbhwXBx={CXZ$9N zXm?$KhiaEw?Q$t$yQx#=Z~&xsJ3wN$iETEKjSv!$Z&GoF;TJeAvRcK2RYc%IE6@oP z7=;MO#a19Ngw$%2TJ5A-*Z^{fT|uIR*yI*MhTw8Dt~OhBX2O8jj262I1^?hX5Q`l_ z?5M?Q#oTu5mCJT>Wq*I;xPv($E;#V>?();e>pwo<{`u+l&yP2Me!TwI57&Quy!zt< zoC5mCXU_@Kt3Us|{L^C;e>nd5WdHQR{^`B_<25W(+_{NcI3gRna#-MrQJ2}}HoGo8 ztqx{5JPLXR>V^%Rq)Ys*Y4h7A$k!7hoVEA+}UO$)YCXbF@w z3ZN6vC=`eXBN_Q&Qdv-)l`xU-0l#z;WRHi%?F8@B=pfT-T~{XP6;}xOo#5G9m+j6@ z++x_3+2S(8vmP!B;=&M@6>-~;ORMDyMXwN#RD3lGo!RM;3Kcx@fhhqx>>s>BqBM!* z2A~!myO68QDm9|fpujFvT9hnS0I4ub)h4;hq)-`^uzFzBe3c4M$-=W0BEL|;eGu4R zA$v>KD>fuT;1z=Nlcm$6#gi{y0j`(Nj={=5hF-yYyEp$1dIebL4n1D611`YB)w7cW ziA)4uSE*G?MB4L1gZKzhi*S<)!^{@D%?zde8gsY_!ePY-+>D`mv&D!ah|P?-zS)=F zfXik2i&OdW&fej|%-(4K9_RTUleR}s-ebW2ialoL?qKFNBXbi#Pu=LJZ1l#ibtkNJ zCJH)|7dsQ@yD78X2{RpWQ!vsrdb&Ag2Ixdv{9Iccj|6-G&9}rZw8Zi~cF`8M0Q)&( z=31j?Tcc)3X4|6Ypk~BQx4@FctCz8p&9N|hy(Mn^MZ!o!(#X>!?la0L@QUX#?5Dsh zLK$@-&?~CL2dYB{sskA{zKm)=1{~QP0-#q0(JKSVA>IMdE~*1bZZpl3V~Ndbx~uWT2N!*bwNOP&b^-OANq2CqUZn0DEw`(==Z^* z`-85v&}en=SPdX#ye4FHu#Q;4 z%edv23H+B7-iySU#-z#TiQ~@_hwJ0}sll!3_Z#DWei{F3bNugZ2@g9Hy?Ro7=;_{! zZ0Hrkvlms_IOIuf`0(s$`uyZxEFeSq}WeJQVdllJ{YuIY+GQcdV?# z!Hfe&`VlkroSiHlNfL3>h1|UJQQE~wk&vAyVrGd4QzVQy$w0W687<}{h`7mOZi;jy zRW_Wa7y@1quVzFmnK5!!tZXP=%8r+C;w8fgvXMmjNRnbCMafA8D27tyLn+dsWXVvH zgq;k_9iu7Iu~gYanrt#%{whQ9DpUC?Tk|Sc`zl{IQJ@{q(?D`{lX=GJ0`qjfc`C>B zD$_Wgs^?O)oER-9N;e#7;6@m^5e9Cgo*SX(MjOWBjN^&=(PYhVl5!|f!AevPQ4}1C zdL&6ZnyR13G)!d~XL3xuJY=B&T`I;`O7N9ZOi+R@mtX)vDK03(mr7ASkeMR$T!CpO z-#DFTn$1Ue1=vC%R11CywonEO7v!dieXY{HQE|OpVH40$UV&~r`=~QUQ0+UG1-#%ejIpUg7N$?ZaBxr>&}wTQwiH>ppBh{;>V@#i+s%A&y9_ zsLE*XU0L4)qj2FjPW;*dr2^)0z|j)`qXVpVlhbB$z-9)-36$g8-iPNH zi0jLo%)f1gd{YkCfoXPq0SEwzo75GLvAD?=O$R*pVFOa((Fvp6?BR=AC;@N>1UK4% zRJicVOIWVCy(Vsfx429$x50S{FuJacq*{1Rlt8b5nQ<8EHk%wKlLM@X$$^?2xEVHf z;)vT~xin)}o`wpKQGAmMU=*-96L`Y^^a`080XiX+>4926yO0~C3Lp<=l?qX+5rrC& zs}Y&XELE8$Dw9lUlq(HNg;A+6sO1KY%%G8yd8VQ-;UF^Dv?&vxNzcwDheGj=ShOLz zSQVcAomaeFJbCN!isdut6{Jx>7LMM0^@{D8{p~Maaei_jlZ!NFkxX^=?%?eP|7>qX zaeiRZNX#a!3AGpqhtcXlFe{3n1d2Ox+ZEw(*<3c_(n4G#R`3_%GGPv**{;_ST9s9H zEIMCXJ)GnmjJCcRD&HG`n;@iDr0))qR0lDtgBi8JNy6wg;r%rcz15^wR7G@D zgmsjKwwDCA(*oOz{o4wCzj{SbYi>YOmfuS#6+X|?eV&6As70o~r&0l=qA4dB?sw#c zwG~7_uPB0E(M5~xDv9qdiR&o}?908^pZ(oH?)QwmADIO|F$;cX7XC6=_$z=>;Ndrt zd(6TIL&Xo-RIgz;pUQi*!k0Y9;Wu98KUN*ctqJDVhK$vRLc0K7@hD>aOYP!I1p~+f zrz(h50o8(0>IYVKRnQ0-77u$f>LR$0qDP*_jyy{k1|REBlh{v^IZx9@pJ$FW=8V6{ znRuD~syTbAC1<8BZ>}9!MB!{(@mwo)wv{^9Ud-z#oN3FNY)P7Ej-G4`n|=~7TjxDn z=QUgJHTMWI52$~*Q17)+@56uO%YPgIt)n4?-w?j=JYwNl)ZDY^>1WZC4Y3nXVn!dw zaB8CI)X%qtcYA_&XQFp+iq}9U@QVA~l84iE0sO}BmA06*j)aZw z{sWGqQKo-7+rk&mY;#?#f~ z8QSqI-B`Aoo2eYhP>!Ul$1-#iSq7j4W9f#`RNXK|!;Voh!+N#8fQs_+b>o@Goza47pRueTr*eM*Ua?4huv+$DtKz|K)q}N4AAWfNuPlgH z?#ruuFk5kNvgE;7k@qAmXsCr(Cb3U$14~Zsh;5LHm!b^8enf`R}#5|0{U(UxJ1|*PB0X zc75Dqem%O0U02~q)uF5 z*g1-xW9S)bIfbBKSL_=?(jsI8L~6yQIKV1{gFtOE8}JjD=T1htgWpL=tOUHUeL-Y{ z#&V8h7bq%1P>BhZnJ~E-S0Gj;VpRdnFyT70)o8IJxC^zqapIC7u57kzyZy##zjZop zFI{(+?hgRB>ka@O-nd{j;||~?Lp|&t?ra}E5Fdb1yvOfuvG-T#jSGc3VYgg<0dd4uc)jS`noM zxP(Dw(o2m1aN$u4v&v#tqo~$Om>n+s>Wa9zvA@4_kP+&@A55-Gk5?F+SDvZ`IXT>I zg~_va>kWpu%m$n33wFd{LydOa=s?Xb#NsxQ+aDgO&=}zv5S5-#YH@`I^|VhYwdnuq z72lA^4KjsMp)|{tW|`6~Rhj@2fWjzM7|H$$h*D-yN%bm;RwdG?pj0U3=W^*8lnUXg z`1DkCa3S0l3D?EvtHM*k`SH@}I{=Uh05A%02ds-HhYLshz$iS-zuTKT+?{^2MS8_9 zxU+U~av)cTbe2=GYQUSq+uX3StTnRI%>g5Ee>f8O4G zyt%u)e2+WcTZk(o<^mFHLfsg4OW>ajGNbJE!7*>@-K(Dc;hH^0I@|<-{S|3DjMS}x zlnr|FCY`cHkKOK%-tLRv>QCD4Pu-xWtPUhEGm@72la_iDm%6_}S?Ww!>WEuxi{nGD zi2i$cEm3nVk+aPa)6LVND4bazHdqV$HV3N1fLG8f{rk)P`pN>}Xzr50p0dE6^1z;ofZhuKz6$^T zuK@9Yb&Tqu{^}5z;Z+^pL(ZY<1XPA~mcxXO&XS-mT3~0f{}->w4QR>nC%wXl^a}51 z>E0f%07mgLI~YhsQ*KCeURXlZU|qz|V|)z%PKof?t`1zp)DMv5R5-f0zd6R&h%K54mMtBjrAv3O`Pz z|40=OjG)n);IUd*#25$E!6L?3UFb+nFdJ@#1i+F7^ojs>RWRul;iL5tkjIfQ#H}F) z*v0UZIL@QE;l~v2ljO0dX=4p(*UuMoWXU#O_%)HE-eo-*nlt0&;$7{)* zX-b)T5i`*kJo(gby8hv8&2Muxzs}YE%B%D63$Ol{`TF1HAKhDc^!vh-hy15L{AYgr z=RgdC`7c7}8^d{x5wnev)6b)(o<)y8i5jj7AEbr!h3_!>%pSe zgS4Fi+IAmxx36@+uj*ZY{eEZl)=Qe;aju}gaP3jW#^WbD&+Ff`mA~yPI_%GW)1Uep zXh}Z>n91Hi+94z5h)FqT#hneMoN{uGhiNAq>e*1y1q-M}mT)jd#E2KMV6Uc-n=T$s zlW@{x>{JEZ1c_GD!YtdMHH03DK}a)I*_acDRNUtsRNij8IhUM8!~|9K19fuMwvnPSA~| z7$-A;A(-a!%<}~ZFb5zKD`l3IGDJ{nUM{f!qgW{;R?Dq|QhbSu1BKw_S!Q#P=}dGs z8{_5R3wiiL0lrXdU7%U{C1k5-sePr?y-|9-U1}E;qjPz>v5e!6C_$CaSmqDFD|iKD zy`uCX^or^SYZcy$rM|N?zu8i++46fc<-fe5-QyNMn4kr`ZcbElsgC7Z*Gk#tdhykI zo_i(Nxs+>P%yq2fxz_Vt8~OJ2eCt|)Z6)t=Df@0ATXXl{iENOB}e0u&Qh}wH?@nLq#48 zQ2>!395TZGt$F|p2*4EDn6A6PsHcPqT>_c{@MA~#o4OxL~wre)hG`6 z$A@5DI(-XnE}y-FUU3YJVh?f*yyErj;m-8_*37{+@9i$Q1H58ip*Yu@Po?rVZ?@ML zCUyl=r*Bpj!b7z}sM4rZ29sKE(5N+9x!j~yTa6|ciaT&SLAWvdwb|;{p>|-fI>c#4 zZ>-p7twb-}-rJuX+vB$FvMP4^Q+DVny8|h^jFfG9@c|4Gck!LaNCy~th(81bJ z*tb~|POl2>uL$Zb_vukdTh_HEAc{o)lF-VNzqz$;#41wf<732Dj= zZO#jA$qR2Oh-fW{0$$Nx6w?8`q9mcOJZYdZiCGplM0?07{)t`uBd7Ssp(0=xKQId* zKsE;ReL&1lrg{~K*Gf1#L0%_>F24_&(fzGGNu}`XP#%xHD=Dg$eewiFx3z` z@zi_r(eE?0KhITv&#V4!zUI66S_rT1J6`>F^N+rtfBeJzZ6zw!ty?)WK-}3lvSNZWk{@a1Hz5dwk-r%j? zknO&Ro&MN2{jrDi=;MLN`!qxS68i zG%-6>%1V|q;*|7ARbPmL9x7vmNthnOCCmsZGg{7!Rj}d}gYgPRyqrWj5C^wZm~j$T zoR}Ra;Q(R)QcjGF6D#M$Dmn2g4h1R%8wv>!135E6&Ww{WVr2u7(*AHsZ-}@jNYw2w z?(vfk1gMxn>Y-q;Dh7j<%n&6jQpJu@4aX}viAqkgYB*WTP127gnI=+z9$@o83}9yk zwnT$?1?85Na_ee^eZA7QR%R2>Y)eH1Ki@i^Yn{uo^0KY-IaYqI zm7h=Wi)?%v!KYalA@&uTYn^trMYAs#qO-aB(e&f?NI{ji$1COweqW|~L9eJJy`uaf zpXN1P>@`jMeY*7LsnQ?Ei+>p@_$R%uDDyQxLvHg z6jV7@YaAPo+&j;&-?ZKybiF^M-@P5WIpVrb#)P8~T1cZXpO{U@CgYLO@D^Y&92)e825@bBX957hKu#?1Cxxg*4D;VDB&cV=xQrl6 z7G#r#%wY#e0ZzNrMdG$gF99}*+bVWpB0CDyLWrV51Qo$4<+ucZpc1o1ieO5MRRhz| z?0VDzFrqMP)r2|C0MvM*%& zMkj7?c!IrvU;wXhlJh8_HUJ+Wy}~mM+x|68?3*xrsb=VH-v)O>zD9jH$UPKT_aONa z(xJ5y3loZZ#2h3-Ai}B|)CF#c%Jh zn;Ycn+T?;|3ZwHHNQK_%)I01t@P_U1)uAK7AXJPDD#b{ERG>g(G&oFGH`u>Pg_2DA zP{M&%sGL0X@%LV#{ztFSdJxKiSLmTv$cYdLLVlt%p33EK-@SRWF@Lx@f409SIe9G? z9n0lXg+{ATspS%>{Nh}BaiJB94N|#Dqc@vzl(;nFPPN4!D`0=cKy_GuWk_FnV0Vdc7uBbu(5Efm zx4qD>lNQhgZUV~uyUTpRv)v^=Jv8sG5}&RT-_8=hj#B@Q(t!5T!1mIhw$h;1(%^PL zNl*tZsH-HXn-lN2GvCAaOtO># zs~KMzD){jqU={qxEc}^K`0HTNJr?yoyW}CK)QcQU;Wt|8KUy6)S`);r2^y{ngojTn zfKm9f%KV2a0*9+ZM(e|&QIL#34j+FKHvS}Z>@m0>%&iTAXGyBVxz$mlRnZ>CYhqv3 z$4@>^m;{3HD0%Wx>h$B(xhJXo2Czm=Kk|E3_sdl653|+(JYV$}z(Vz37Ha-7U;7tc z-Cub1f8jm)C*I@#GymkD=bwJJ@a#u^<1dRZ?kzPvTyF7MZt)ki1_|0i1#Mx=Z4pbY zQHw3H3(X0<7nE0zV@IkYhDt+*Xn{k;ejKXLScU&oUEspAu+_Hs-Tt)K1KC@>*=rry ztL?cPT?Jb`#XEh)JN<<_^!%;}jHfK_=mQYW2g5OeEK21^gR zbN4%n4%=(qwKpDhJvr$wKV{~=8>GDM583GceZBj^Mvw1iPw;L}$eW&!w}Afmw~WlU zL$o7y=_$MPoLzdsE)ueHMC^1CCqp=#dBM#Fb|GS=NEnGSdW@nkOxYW#=ns+&1WN`( zNJ1rpVbZ|}`CznSFjm2cRSd++Nn``DQovxWlo=}-ijfROONJsPLlFQeD?-MKP_QDE ztY{T8M#+o;e^$D#{sWUjihQv(@Ya-=yaNOF4M-(a|()`t0j)LGW%MEZM}-vsJ3p@VC&VE zwJP&UCAwNktXDZVtDGAZ&b3nK3e~Y(=vd5iEM(gkvTgiq03}QKp z5M<$kEOZ&jM)rGN-oH;5{?}CTpEK0EIoi#9=`FwfcB%4asq$*E+|4g_@Jom#D!N>Z ztx$=z630f_n zglb_nii~=pK_@h5JxI(3Ie3=bNzpj$TGA_IRxl4*8Wse(jLo z0_?IILVAS*wGi6Sa|~L_ISQlMgaGh<%!mlFNG+HGv#KycWg%1up+*P|iPmh@nn;Y` za}ZVOELuHgG7%U8lRDw&sfNHbgjEZ7gX}toL+=FG^bTBSM|I#UydA0q@Bxe4bI241 zjGCZVkR^-1<$ZjsQFx5PQ*Z#Q$1XgA@xS6p{_+?Fsb|s+DQxKVo#p!0e0gJXUmIN>+Gn!3jw+J;hD>=&|nG;s?bQXmx`myqf%q`GsMuc18`YtBXL^9$w0nL>CX6P`$g$711;h(vht?&9p-`N`X} zw{K5(kB-+)fK(g;c>p@`ZLi#H zUMplrI{m3qaeDslbbsyijo^HL?c#7#bh0lIoy+73sYEJ1I~Be?xH#Cq*x$c+voAXr zX*CAK>e6F&1%inTCb`k7HD8%6pQLB%!{zlA)_{QCAm}a-w8yM=#%}b)Z}lZ?^u(=p z#Rxj1Ry!lsJHs|QLpC}iH#%b1J1ByVcz#DLuOo)v8MoAxutG}3DxeEKMNYbi1|q=& zUrtHpnVma%Ev{3V7P(Tv?af#<70auVCIVCnD1OA|F4<@e(_+j}uMKJvp`? zAQCe|%tawckEECT*KbvKV`T#bXE-DI=0PI1=`K{)`c*Z^>~=X%8@4IzpaisS@HMnrqW<(XrLCc?PPLFQl^f(bJV9nEwVE4zLZ*hX*_@`riZGRbs!fqfHKDWCGdO!> zI-VLWs@by7fRRckuaC#09Okc{bEMCiHp%Dsqmk(}DK^0Vp=orgxVqmw6xhg;VwtaT zJ$16(=Nn|<{<-JtVhg7x*%$8Tusyi71_o)HYHHwsrdCQnBuIr5isfOkzYzC-jB#Iq zm_7mbkB6i>rLulD3r~pF6FL>98H>b(5ERz1>X{flTBf|Ayxi{!&(0aF2&fZhU9SI3 z1i9kWCVxBpdL>nol|_D6EI!0nfb)q95JvyoU!xqOLeE-HJ-z~D??x2Brc(3XvY3HY z`D2VPaKw8{(pgrpj9|^0btT7hbjBE3cUnF0+3^4(6|AO`1ob4EszD`WAdiAeJV*(w zoBPWzcUieF7G8bdUS1==jIoz7{d5|6tdQ_SxbDy0aU#GV1@A#pCIX|tT@294NGi0Q zNT{+MO5<-WN7kLPv=QFoCMuqkvk~!zm*X{GKljX{UI4&tM=0{*GHil?oq`_?=nX$n zDKi2NM9M{Q$K*cZuE3qwL~QqO^4(og=0UQFaI!LI3@lby*&m9P4?4V)0)_DJ82mnH z#`;1szWF}7)>@g5C*@|Ml*_J^lT#jOXldw4k$kAdWn&h%BZ5B@CL#j{c3rYd?@;3-&ebnH5nlKKZ$`OSVlWcfktfj`>mhc;oU|8)hCd3Kxc zE~Ewjip5^W>L-ePO|s73;rKKn9w4Gxo#T;lprOG)R;&=mgAGe;MB-)2l!{15o5$W2 z@Kn(dH@%Irm|9rj=Al0VHyBHXs7L4DxQ8j!zm5eTOi!U+oSQY&&X~HXfUi!et;O+GM7dQ;iS1;5qriuJI`co2@QM2c=&-U9 zvgGq256rf>Wh0PBy&{lyz0O`2tD?!o%F8a!C@vyD3NB(EGaQ5j+}^`MUmBaS5ce`3 zg=QE8&ERdkbf~kT8OZP;lA9<5ViGpB|Vxnz>BBQa6^X`nIn>{18hPg zut^!sB+paSPZll-iKLpENCpNCTVrsZf~t>^MBOVjMYN<3Zje)G2|p7pAr)F;V6j<9 zNA&~1L7dI`LFYpL=mcVN+9Sz(dh<(2dJhg*sDk+f#Y)VSK63;GnW zz$BOjI+K{CDf19up&kiA0Wl6Nn6rQd`Z0h7Zj_t`EciTEf`5~z+7G&U?ijFuZj8-@ zr65;vV1XS23qC_X8(QeGb&h3MBT$;bF2FLhfzn>|M%qXjnYu_>453t3Tqwor;EySA z3D)l04MqSmxjB6J@ZKM;wztIsGF@f`F7&?-o5jA^Zc2amP!^k8f4D~uyMwt$K$sCp zwhI@xHyBm8!)3mK5MvpxZ#sW1{CwFe(18P?Os%p&P5v96=iz=EPLib_&zBJ0VG+xx9;J@clmzY{=M`LUyn;3kvjEw=W#?5G0 zt(tuPu2=2o6LrEK?Gk>9m>KpP&cx8>en zT5Q+rN_4MltQKw*fq%D!m-9`yTs`XoCvTqNl={2bYP-2Di)GE~YH*4j2_AN95Y*XR zv($3YW%2$^2DCw_>5UE^EOXFpu|ZoSsB|>o<(F>*Cc9Y{?=bgg$;*@neS(m?#Z$%H z1eHF`7grKh*1hhrMWv3a@bGQE$#>bR_)rm3lr7`w=-dRtYJ!86^t5{`8LL4;Jkcm| z%)Vig(sJcArsd9;(-Cd96Y)zKu7k@6 zB>GiqL7rAC?|8kL1`+x)|9-o>%~1VN^dP2ie))LLIS0Krwu{Z4Mu;hyn9PiTLD98n z#oRCAI6jRCr5JMQFCt{(AZLK#5HYzLb8ILIV-a!AlA%=)BE;xiRBp!AR)Qzs-N+qo zdCLI@&eLe`Y2dU7zim$gr!0hMN`k5AdFOv_g0tF{7B6dtN^j1y8E9) z6{4YoS!8I`{o{@*e55h|OMfAR%J>i(#?4~qOk-9$H2gN=eXwbRH)@#O-tN%-e1Guv->Wz^cEiLA$Z8SK(mF*BpU@Yn0djVG&Kg3cQ$>j`OwFx==PccozjutbupOXF(c^@3X zwi_BY5%yVNjqY?b{2>l?ntHN9a_tFnbwloR^v^uGdjlzKEW*SRMr~(aM$tsgrlhH= zm!`gW@gj!9b<)pJW#N$D#d1{!7D3h$_f?EI+m2@*kvR8*XI2ly*^;~P{tQl%3ld8% z&B;e2&ixS2Nu21<*~%H&t-qA-1Cv+jbAQALVcr{f+!bl%Ft$=<@@4)}LBKE6ah;(r2a5o0Mt(^QTJmy)S=cIHN`J%rDb&Wb2`}+QN~lhVHxwgD_Y2TA5=!7OcO4W-{`42@Gn0D|`x9bc89fHAOpf$t4wM zEh+mHmUKWb6s)HZkE5v zXkQnbY_)oisW&Dh21Z=JT@^kH;BbjVrn~8%21~gAOn6L zp8~tNj`2+HT5MZ-_MJn3-s6ASE?Wok94ZS3UpSsEKD^(QzZTE^HHcA70GaUR?%u$Z zu-0#yH}f?BOF%mMHGmrZjYu|6iK=P)HU`F0YMRInX3+7pkzyCHn4UKt>*7(C%i?el zJDugScG>6NS#CQipK~Dt)XznLTkukWcuH1=l8j953SZcfNnNzb7vYb58Aw)T4T*S` z*!ju^BGR{qbpU)^jZTM013e-CtDoc1!<`D5OT?v*a zU!(3Eb}%kYYV6#puTx}q3CppD)g?t7BP+|pIvo4VXM5NzvmI7(l}#K`p=vcGgG_-C zHWh(yV>Xg1dS>!CY1`_M>jcwHxjly>`cR7KF%<9E&4=Isa2bL=DT&7!7O5n{*&~DY z2nC_Rz^h&+3v$T%cFAX;QU!&8gT)Hu$(P~rv}MCVN+qqN)EVF217#S&rQvY!CJUuS zpNnIWb-8phSdIR+w?`t7;#3@t?&?3)$+D{5~(L9 z`5&Y{G>C*ku@qRKt40OeP}l6Y{(@sk9`5?C5$uxydOjdMo)e;Mi6uU{&i47vK`D6F zVs*5nj^T+JD``*yfqBj4Kg67=aG_&(Vi7BGF+xYHH~0Yt`=H8;NjbBpi@ByT-4R0P zLhDrO-Um1a3!y6IO@qw0(H1#|Kr_yJj$94S25 zw5xL`n`x$R10CscA7YP5wdj@ABsEp*n+b7-KaScRjeDVMmHEdMvjZUmt0#4)MYN4V zn9BX`YdZEBh9*mI(|rKFEf(RfD~^S~2%Thjd{cQF<9iIMy&10QqW^)DBkPBo;L!Rp zbd%+C|n-i#y0yh_hpSab6*(gwC?iGo?uD(wM9Kt>Z>z`ZtpZ>{ZOer0)r8b z@|#|;#SNAVYeJvAPcGUE(Q*UL_X}vR@G4RY(Pl^77qM`WH{PJz&f4k9rLLhFOtc36 z!MG!BxuAHkz;t-~DPj_5c@c8A+Cv4 zFwywty25?D7~kT7otLq4m((C#Hi016{EP*ygw z1D9EivToJK!xtyubM!%=YkLF3(4Ip5JH(W|i!=BI9eviP)6Npt?iS%8ag~$ARZbCC zIdM>@kdMkU)@f2W-ML(VjG+en8`=EHNoTxefd!Pjz_ zJqISY^~CxR#qyp(k@Na>+4uJ4M?NBI?n6;rS0Us2`Zt$?WokBBSC;j*3LE*T@RyAj z_b=V#-T8}0B>_h-cw_qA$mM@Z?pGo)C2nnQ3Hrft*K?c`nkA@PW0lsEtrdJ62OfvZ#92>zY<# z7ac_IWRrHW;`LnX@BMKANZil&qElmgg8#dbhvF zN723xtG#aRUE#*M-QI1zV%qt!(z-6Ss#`{;txmS@`{SElzL&eNC!9z=1tHHAQK~;Y zQtjc}FO_L3(bYKfB=R42N}jk58%@vAqQ5^JYO@IF6V@j1c;KIEOJEt`l0^z20R9&4+iROP?46@5A4-+*}_@eqP)~8oz`j~@=dPL#>Fe;3j-~qQH?F*ZJGW@&sghrWO;q`Opb}17ac>y3GEEDP< zLHguFWKB~AId#JO zG9mkL7`6mOdRL^-)Bv>clpJs)& z%S{El9pn-$Vg+3>#^^g)EY*^&H&5u&i1Z1COdqhV-5~%fY7l4XQcwe16Y|jl=j1k} z+PF0Z)w4Bmx+b_pr{Z1d)PW}+^T;i=(dc~smR{CP_iZ&5%~Vp0YLN(?SdZI%b_s_z zO!&Cc`&^41S?ipE2xXxl!8$ER-PcCV zd)PXy4pZ%E(%dt@_{{jCPW@8mfSg5WBEkOmKq>}?l0hWDX-D`3k2I+=d9^`FRI|$B zMQ2bM@_}Qm^2qwX!BXt6LXgj0{4PpG$T6|HW`J7Q~v^QCL<6H_m*SdUO(@XnfuT}!%(%)Z_#HtJlgpC89H@d`FISP^afdouXm-#EY>rvy0qR@q z0(ia3g7wJb>#u>Ucy>Rr^XrQF^2V8>q*eU^eS+0rwwjc;rA=i=n$$CtE@j)Nu4OeI zGA&4vASs%VR%s;8JZBifRP%CsBSKVv==<|z<*@3I5CCi$PPi06t1E{P<;wsjH5vv` zLbS8v(T9t@kiLHzbzTq7ds)Xd8GVzYI9~tA>{{5rAM8H z0Z>)?9iIp|<-%f|QEL1p%B%D5HwIsX%H=i?idXg3?~G`)IK^!Q)+q7In?7r_-wMOO ztXmAeG8EExoY#DmcM()!#wiU&lZr{x=14+a)T8aQuR7urnDNgqAMk_TI!l~S&$nDK z3@FgA6$LB@QFt%*thkXYAOR15cMMs>8&m}fTBkB(BHdaO!lbendCa3yV2DGH#=4#J z5`d{yDo*cD=b$(qkA>d4H6N98EeLE+%ez0nAjwfo@~sdyqJdRoD@I8bouzC$8CAK* z0Zz=;A#$&|jU^@#8y=GcSU{7JgNmVX^!4IVzp)DG!qa+k0mNRP*PsXBi7GA}bTp2G z(80$1#LkXUZ9TiRn8S(gD1&v7SGevy4lIIYV0`|*ufrmjg~))J%E4dJXW>sf189-$ zQhb{nEu0w1JoJgLft!17H->EmtyX(lBmQR69IXLzh$F8~7VtkASJ!<)o~x?DdxCE{ zns--m>sxatV9JuROw2o~<`R+x3)Ga`c4RtKVle^i&Axpu%$lbPAV7y*cr5ZMrjNW% zF_IDiS38}(RxtB492Un-=$8~Hv5RQD~q4883f*Q=|S z+csyjMTgwVFLo@}4(rVoUoQoB2f*SZEhn%&-L;Ny7+-grJ~lopwN`d~n2&oy)6H|& zBK;Hh)JQ7wvbQ-BSjvW9;_Q@c15lW|TTdM89WP_V64dR&(C1u8d5N#+g0rK_uzW$l z^HcppprdV%Ki8*a;2Z!t!;qti>}J{lh`B-lZlp(|gibX{G5VksG5%jUE9~xy3#R6^ z52Z4mT2;pJEo?Tgk>I)!+|~+&o^0A)%RwsEO#!~X7E@~P?o?0~Z6)g2mjdRZr$e1~ zFR``ivMp@SA*P%xHCa&a(V-@?o*JB&fl2=PRT zR?Pi0fdKc~5C_fheCrr0T{#!T+o0;qGg3gWV$C>i^v4L>@mgYFpb;_RrPHstlF)x` z*_;LcqV>y7NqxEA4F+kKPBk*kl(d#!HB-ltu7cXd#rjzFV=CMB!UYC-C=hU%kSJ~F zXfmfI@{qc&$aVXtHz63Ky`Z&5UdFA9tOH)mmiIe`xwb(P()$HVI}R=7tdxzu~U4jZq{$Jz7Kyvop%blM+X3TVTfVoR8BcW7N zF)i8IeVpp!MG5{ePVd@WM({OOP+)B<09B$q=K_Sqn~MQ9z~nvAlnHRc@JW<9rC}?^ zm}1t)UpNoQsY})17^q%mR0FG^K0nex^2DW7+keP3NU%3X%MQ|tGRXNws~crvlqI}n zd%+MiEhq)CJ&IRi@SzU`yZ&JmgW~`zkT=ta3{=i@7k&GKcWvz8nL)e?~)P2o7V)OUpJ0{+{%JvL(h8%BHrkLZ((j zi^B0vVuP{SA4TaR15P&Z9QDjbjrN~Yb+nAv6y!msy zxlF?37S?T5{yOzte%GaW%D%ycRk%SdOXL%WLnvNtxnxayn8~*qR7}E0Cxz>725{pVDyezn z4kk8G0!b(Qz36OG&6XCMZ1H6=0bP)RU!rfg22ojmliVK^s4j6qZfM6eERt(8jtj{68S58 z7zvzzjReP+M2rx)1FKyoXH5g#=9$x2IpNM-k?j^@Pv#1GFRF}$Po7FXT>QjxYQwB9 zHNaoAp=&q9W49ZHW3}av$bfTuTeGBOPuN&&WDI>c0W-UHbfr@8!FoLxcl8i%21$TLQx9Wj+e>dLW4|K&9fx4X)Q(m)d_B*p{ z+}w>!wp?A=H6`OaS1`U(-ZBP*c(ys@Ivo8fEEka1zE_I#zD^r`{WkjZNc(FBC z1&SQ?3zVJpJPOU0d<5!09RJ`sf~9#yMe>D$?sGCd6Cl&M~tCO4cH{>eq`}*0qo03bIsi9yVU9Kmqrcg@NH-)Zf!VLzeQ1&uFFo?LhUMzVN{npgCz+A78mooTHRU3 zug;xE7Hi+-v!UT6*an~L9q2ejj4_ziHjX>17*!vFZ`r&BOY^ukQPprgMu-E5tM||8 zV$hfsF8l=*kedbhFSNwM#P%O(NyWqApGHaE$V%DS_WvPZ60>yr<4nNG$ohY^OiY~Y zOa%0D1dI#}{{ubEXxrLjvm^bj)gOp+!xwT4#p%U~2JrZ^DZGW@0=L#hM6vohsz@vy zN&_zG`@`E*XfoAcdT>}1f^l#g$^8|NGds=9eHFz#`z{n(m~VQ-S@c3?f|F)YC~q-R zT)5UmsWgxF&xx7zhXVo5OT9^ zKX-qken>dTd6sb1+VAvA@_N+K3V7|c>Ok~nMchgKeS;N+}@vz0NmIPAnA~GNTdCh~Xr2Zq~SnqC|wO443{y zRyrxH|1e3Jv4jS?Zo9vx3vD!3>mT*EgU$Wbh&j- zP_W?m?r}IN3}<>aL#cnm$zUb?0!mp?KM4A&?f#; z6fj{q!N_@x6wzex2ApRYoEC-PPxuQ(m6%x%dZH$(6vmH+^GJT6Kv@(7?l7W%l={jH z-rT*X{U}J}nisUOh~OPXBqo={E?}5I)OZygqz6ufx~@MDKBJXkPblPAPki)FFd}3z z2$X64KUqTWkJE1ELDPf@7d{L;ecb8JhkVh**uedVv+Lrl@0ySFUFaPA+iPgp`))1#$OKafW7f{x1fW%n}_Z1SkzX?&k&D#Q8%~8ROg@$qd%|bZ`0Q|83zTJy}7+P znFrEOZAS~;E%bT6&i8Rg7so#iOk8~!jYZ#XPtO+se(>;2q}UB))bSmX6x!1LYmXlhX0%ZWi7GByRr_iQ%0$6X0N z7G_DO!BURs`m?d6M|!C8uoF;(DDY}$T>!no8tLxlzN|xgf1mVi?63{RnY^y{`N-3b z9=f={Mr-XSjaC+U-SzKkI$LT!o$47hv|mD)+b~xhvwG|Qun~K<@2RrC;_I;4SIlqH(NRyLfZ@x z?A~S{YP&h>@Mx>;1D~SsS}+L=ZVXD#t^Ix5A7z4UJ&tJzUj*jQ2JJ2|%Mk9&-d%@Zn&v=S!EZ9MK}S_P z9=z@uoEsMhvyf+c?i!6n=x^x`3!5r%2j=R_mdpE*ypuGSmdyWrb|_RYM{Wg4FLq^c z>k6jt#1_Oz^Ds~?baET!Ch!m;_V{CoL+B2Os0ldKDHi-47Z*)b3Zp|0bx2uH_nO|= zyx0#5_=KV;&5bAjwSy4;xm-}QKX7VE(m;FQEY?$`6@vrOH7?;B_aKH*Dv-I3!YWS(M` zC5<$dbQiZ@Jhs{_or=#$_VHL8)Lr?ZznparLR^&v+WbKPm@eu4^~Hyut0%kVwVm@W zInIv3W`@{)s($T@PNV$Lu(alrX*tPhz0#hNZR9!r_?0V9_oyf{F9o$Lq$9}zI}Fqm z7RjD)IB|u{2i=`IvT0t$ zq^zo5<)czcT2*&Fo-_Q@#~yLv~*)kjqViAo7d+Q3h5ig$<17fuzBOenR&;~$#L*hp?7)$Yf#|Jeb&4MSu z<-}G2x7BGg*!&d7t!c8N2}?g`*aztdb>wqoBJf?(U=oKw$xaOLbC{s9fGJwUJ=g~m z7QCE6s+dnxahON6MbvHp4Q}9ClPrOa)P0`7b(sfW_o zvyPlF9X#3!2n~uCbAF^~2DLb5?HDeWuEG8GNY;BWC|{n;Y5K8BtLK7@Y#iA#d@mVf z3nMn&fMk=TQfOC5l0oHp_`14{E|NB+KSKU;d_+*&@18evuf!CReAZ_(n#{lRhkXkV zqH)-y&Yx`}RJi=9xFVJGxzG=&i=^tk@E7z;@_ydmzzSdH6Z>kQhRoFl5!A(TkuX!z zTDnRJh^gvP5_q5+Gc1Y?c+;|&JnQKM8VT!wux=(1nNLryPE4ORc`t48mC7c|LxUe@ z7RW%UItXeDaJC_Z0m=G>%aqayuJEN+n$C@b5w-~e$9F>?=+{s}?(v-T35?nHP>s;z z>sO($)F!40Yn|{L`j-KSRLFH~5#kzm-XD75nQByqU(2gnds^*)k69SmkG;Fhv)ILts*>s7#`ydLnqAXa zEfHaot_B15CG`n*#`tny-dD%P1ui2SQXnq2K20>CJ#t3h9HT6sctf9ThnTeh<5YiFOy; z#}1Hf7)g40+xHlxM#K8&$Ga#~NYOv0mjhi8jY3gdJoZw%ZNS*TZUvn-tS(q;Y6br> z=Ge^#VeU^l23@C>5s!=NFi5*L@ad8#Fjzs@a`pJ^nq=+GX!{#Yr>vmfH5hhNDSDl? zUo)rEjW{n&JG?`duYcFYncr7q{|tGs;^U*46t?TWT|6;#!zFAV+$LNwoJjHZg5@1U zq!aaK&jhJaPpTg-_Wjt&Mcq*o>lLF?y%q(1E4gZcdBw*n>(Ul@~q-l6FlDNvmj!`E}hKCkFtaLcG=uW*m7+w*&#? zq0=pUeQu5U%QgMn<-~7ax997{S>TL~DeGF3dK+^Iwe3i?rOHT1c8}IfZ&u%VZ(YW= zeQcJmUlW4Zw1>;no4Ox%*vIpqB$$FMseT03o^MmP;odyoS(C-E3@HcHPj6}7ML`YS zf#<&;<|T+4q*mCT+aGurY9gkYj^TCoXxr1j4owDHbA5H3K`|EXu633P-J>3=(73xn zwcQL|l{DCCeVn?!$`_#_XLUQtN^*o~JL9lUE_g>!*Vig`~t`K8030tqf|Q zHJVf-N8MG61*}!sBzgJiUVjYLvD7Q2M0k=Zwb%|#x=sD;L`V&D3Vx@S0AXqJWJjg_ z>o<1n*{9eTYXd zIJk=8jB)D(EIw)XqtqT4Zlykq5H0=o)^llF@=B4w88h+zJ~~Hq*Se$F+E)s@R6{*E z#up^m&Ow2vjKiziSJr+O*R#ZXwlX5O%MMF;-yT~eO=l1T7K;{d`=K}}0ItY}c*!NF zG$?c(<9Yqq8kUZ#Ek<)(bo0eC1lR^UM(bJ{1`tqL zuBecw%aAfKPI*>*Myn~w?`aO>p40w|&1@cfh|MIiYlBZ~ol;oU{&@b_+ja@7ZN}A= zG~EOLmKh1KNVJ=a5S;B_0OH&fZ^nwEx^NR!od-yJB0GDnliu8B;R>3#aPF*(iSV&9 zu%G3ue+y(MlgWdlawi>b@4b`qvZ)j!<8fmOt~Ob|zPI2&|Dg6xfh_Gz7 zdP6fbr6T1eQd!|hAol)O+mfw7m1-P6>w?zBA~A=O;l{L;S&hl0Uq-U+#PsLsY_8|! zTHMTqiKQGKIFjsNzrrDL$qa}|vto=fx&q&$w2{I-ouALD~DyvDA;r1Fy z<8WqeZH5RXRb$|CF}+ma)12_j?_FfZ_^WCenB*MJoW!L05>QRXh5fVkC|1;{)q8bP zM{Vs_lZEulExwTwUjha`L_5jRy<;GzmgN0nogWAwN`uq{QS7DtfQjsb zvIVoy(hlHOFMYAVm+;eod#R&~V!pvR1bc!`y~N<>@B>rkocYDT#rr07=TA5W)PSoS zW3zzy6~iY8bak2fQQ!J#Z51ECu#ahdF+lG4$Mo1&r53Y^eg4ov(boO&%6+7jculFY zlqA}e2^=_d8V+DvOfjYM;lCSs`n*HtFVQpYA%g!LT?JGFnHx@T*J0+}NJu0hSBIOa zU2HrsceI01QOB}repB7$6X%R%zvEcF9Y%%Q#%=kVh7*}tlm0PxW|zD$qKk_D+=NE+ zoyX0Pw&WcJFwh(U!|vHNEB59$s1V~SJfGEjiv72(0@w^{r;5C{Tb{nxbwtfeA*RQD zbYPY?Ebeqs4OsKUpBRQ}0ms0TBqX1M*Ld%)LHtqkd3(Yp^nQNWE^YFRb49 zdpvV*z49_eyp5suwdodvZ=3j9UHz}uf#B4MMtq3sGyc{f6 z3>Q2HKM0LL`75VDzrz^M_~*4zSH?qS*$q+hVh20;_Q|gk6y4YM7kxX*bFb@nY|{J! z)0L@9*%~s0^kE8yT{Npn3NZot7Qdfn1|uo$)c%AY;A+sH`vC&O<}5?HhH9>55t?zuKQ$cA>h9D`e<(zdMe0A2WL)gP$}S#0jh5#_f&o&~0=b6W zA3XDK0c3~zO9N%)PqEYJJT>$-`oOq*Z@`Q=OqTNHE{OoP(ff9BFf?zc8;M~DBp1=b zUJEidms%cFP)rP39yETg?%~65iAigzWcOqMnoyY{&1`;tvm3bnY-)|&2RZRghSdiN z1SbfG$JdBX=Am`wltM_o(a}>*WrnDDKUk~3(_sbR9`^UcdxaY;fV)nZ6}6eWEhG$g zkq)s7Mh7rPwa;4D6t)>x$PuUd5<9hh4Uh7CAJkh=Zh$NW$5_w@5KeYwm@CxjRcHcw zB}~%?Ol@3(@lJ>n<|h1}N&sZ4RAonXEg+J!T}+Y^Rxg!0%-^-RJv%ap&U^bKYoKk*A`V%gI1a%-{jnPbmPzZ$91U2FQ$ViC(w&w5P2PIoGI z`M^wmIas;}cAfC$g^%~$u`0KfCo&3ncf9PMepYg?`}IvVsQ=FZvAVvT$K z?vb;efni&k{{gV1j)?em;;DHo_4T4?eS>WWDmdeAlT<38D<%oS!Fa0$JWjyyOxR6C z&WSCj_RR0*b?O$`vzZw29l6K#t6smQpdUR(=voNvLV(v|G+$tUw7|NJyYmd~P7PQd zmtYXVB8kI#02{S^&^Ja8gwLmGgR2P|AuB`U>#xM^uWp~N;>7~k@k(x{HNaK?SwB;u zuv!zz(L0e^;oyzr4>H}g{I1l`;hhNbwQ;d!bA7IE4t64o$X>92bL-YaS_Xq4cnw`BYa6LST@R~>vaP2~R z!(%^P?9+t_U_pfj+A$GY85yIjt7 zU_kvdwZrm(KGzDdQV`@+DdIsy8wguvCd#{*msO(jL8^T6A3E`@a#ym^=>frHas~iC z9j*#6xCJEp-Irrp7~CCaG^S^)&7GgsJ?o1*7cY`snoOV0MH)^U1*-H2(i{>Tl#UUu z_7V59*ZDgsRPuV+5&E^iO&okTKx)2zeh#c2_Uv73lZt)xh5iJq9g`-hankpdtH>gt zSBpL2ffAJlM*u;H?gfbOIs{EXnh6WQ=tT>_J#afet-78cWIa&_TuZP=n0?i)n!3tX zI5tppS@2r?-w!5YrG(J)g$5OXmnQLjb@GAf7S2KW$fIhk=<*Wz@95|gS!Dss6X)hg z6lK=$r;!n42bcmpL4@s9i?Z@SC5S}z_Zt{wKh-F>Kmcn7_(zbCCB9i)&(Hyjr@UZN zCm8~kVCwSr7h=%h)xlFXCtKh5ge%mSgo(DLCIOQn8`eZ&Gb8Kk&FC?%5Av?Af`c$YK_USbB4PaP*wI zt4Q7!0&87<0#S>!^b|O4=eeICys>XMG?vv*p&VKR&{!V`VtTfrM}|+I17SywbM1Ec zG8qDt@5q$l2L7ZRw89Il=(4_IkBW0zSloNti+^$IC5Y`?-TUDOMr~Nw9Y1etf&%?o z>Xo$hC>26g2oU}iLbF|Qo0|}ZRE8UO--~r+-fbNPwOtIX?zLRaZW!GMe=D!8i8ti) zhH&jp6~rEqK)^G{p^b7pU0CxDj4NX8NUD{6UuF{;OGwAuO0PTK(bzh~4w!6q7#8Fp zlk7UOA$)T`L3`zUUGCYWNk76aojr%;9w_h>Oa;tkS*Z0=Z2GX_CA)y((3$jIdJ{PJ zK^@fl2xP+A9Ha?*AK391Z$VBy0faaTZR0}-v!~>WIsQE~4g1pF35^)YF&JjFpYLrx zP95NHH(eH(0LjgGUAX-0HR9tH`@xxTfaiFpPruyoj(iWF;ey{E+=RNWs7Si2R5(E4nz zc|L%%Fc1OX_lV=$T)?jdm5*M+#EEH!uR_`>z;=YSKVb;ao0WEpyX}6zw{f-$W^ATe zvQQkD<9FFz+P_leYrE%rOPf6#&13uvct|Or#!7I2#rx&~-TtjEuy|`IzS9dUF159m zb#wZ@q>A?`jqYuKukub_BCNfEdG`=a52iObJvus6eP(_tYwD4z>$z~Zr5ZL?whctV zX)Lr1bPHh5LKtN%F?~)J`d1Jx;COFg2jRvIF?0n?8Ps~OhPS!vmP3r@5%~=k7=ASy zuOlzpB!<=I;F%umR;1)ZMV3H=jo%G9aJ*aGQ*40@Q@-NoEf+4)wrhp!J^DrgitS#j z6AG%Ym|kkKDS~hHISSIqi7SSaK2WZ#;m@8f!reg^G!0Tex@ZC36klN~^hakVz_JLy z05Uki8w1I*(&|@n`a45P@;{M0(xP+8(yF`jv`*Jr6DKQfoOJKj zgIcr{`OYQ}IcMqqx;xC$SShFtNJ44^x1Y#v(p$xNJP~j7-@zy~^7YrTdrmL}b%M!E z#bit*pP!h+C)SZ|6fn&&qerOX#Ms)KG*EGopqF%fDDMDsPeY|@dTKnMv;7`3@#S#g z5MXqMBS^nU0bik5AAH%ahDisn3??hqLZ4`Q#q~w;1WEktSU4%rK0<)s?!z?0p}7IE zWP>1Z4b4BLU{bkHg82NC`r$=tiR^1otxMtY*=UhjW8uf@Aj1?Ux4m@gBWn+T5FeVr z&iLVhwX%K^>xOiwu<4Eazp*ghduxG<$?!+!Dfo(C7ccst(t&UQ#S}CHY-anM2pcoY zDKB5Qn2+lcu)kfuPg-wyR5M-8-x8_|s+@Jzr+6OU!riupJkc8;IPn2`Fsp}ai|5f#;AqfL{rH0 z-SHy&Q#s(Tk2@!ble$qdWO|VWImsq4Q}GRGfX*Q-xyYjLH^vbY*PcwJ1K`~dkAfT+ zpS2?)YR)&gQ#pjB-B!a~TQGMFyz4JRO zj@H=dP>X5ZE&75tWZK`2DTk;oBmel&4RJNp+J3vsd{iltg{D(n*l?y#XEo>_R3aN7>ii)M(x zht@jO(;SLYr~Ay6If?s)d|Qr+_|SlFJ)`U$u+(n@oF5RQH0MW0fmt6> z*m3D-K^aEst+kd?qUJI~yqYrP$qe;IgIGchhG+LE7Wncl0AaiYUnL74tidhXHLg@J z5%Ebcmll|((5QS7Yq^C#x?Nph#6i515pr_7;pSIo{x5U8O%rx0YXf`Dk$vesgT1)n z=6cI~4`s28ud%=v_KM*)zX z$DzOrCm{GYa#B$y+$fWTM>A3msDV<|>EjalioT`twFHBVohAwp*OD-+sH&Sb*G7Tp z#YLzbFNo@GHW(7D-c&C?(_kKcXKp z|8L1D!#}CTe@4FC@aiTVwIU z4nsT+iB_Mvy?T`HT4hUfYp0Woa^fO+^js{(65LMy*k1U1*fC zWDIlpzprKAYlTej;fUR$_W8EET&6{WI50Lr~|}?|1;!f-vJd#8dHG$A1G7>4_mrVrOJOkj&9>Wj1C5Hix7{o4v_-8V7#s}3RO1LBz?{Dj# zC8ji)r#Dp49QvMK@B0}v(8vUgh3F$k0%bfSXk~oU$mz)5Z^Cry{bOAdiJ8{St<1^{ zj1@)Afh+IV#fYDF?ER++bKSln}fpKRJyV)Tcb8!LaH#A&D8u5pbpiP`dvGv2M=d0WxSZ(RA-x^z5l* zbqlgL34|ymhL-+C6@B0LBQ>}jd_N-MRI=AS+ZV3<5lX4KLK*2fBkJHY!@de^(EB}+ zkSq$~H*h4x3j^W+MsspGC6Uk|38q7shzR%;I^v%MBK6J-5Uu;<++{pE&sSAEHVEh= zy>j99UqgHusP5APV}`KdG3+&Bw1*8D#l9^d|>B-4$i-zcJ>re22vo^Ti)D6M$M!yu9GjPPNhRJ~lNs zQ-GjU!^&IwH^jhT6OfpfRD)XH)2G>2=|D5H6|qUfFJE>k>K^&Lkv9!Ky4Od!Rk0kA zSjD{ZMP?~mSuVM%TSi_%@2K1@}!`2QIO4;U}23-GMcS+RG~C`ggwHY$333;(IZ8}eMSqZ`ev!S zPZnG>H<(C*y_4+e4J2e&QBGFXG)`sJs;#vlDF$`=dV5%n=h~(YcSd+XA70Pa#|vBq zzelXuhPVE$0akBuuIYB@!uovD42uAiBEw_*-at4al6K*GhYJkkDdz7yd#bRH*}rTk zqbDsC?d;rk1omY;cq<>SKq<;?da#!}c5Ts5DG7);#utl+tnlWoa6~FH%U8Nh-=%GI zMcu-^*kh@{Th}*Z*-F;_7%WzH2TnBFL+=x*H;9%a`oqxrvKiqUl?RBWQL_UuEQ31( z3tvN;YuYse5kgxffUlV<($j%NOzNtheGxBBC_rKmM*Ot>s43>Kw+_#O>eNN2-2Z+Q zI=V=+C)B^!cE?oX0T>lg&I667Funz-Fg^j+(ewxaLX^SEP1)sys5!yd$gLz?;R7FA*sM*Qs}HCq zpM$<}hqb%`Vxy$GRa{!psc9;L%A}Hz@xap5!C$7k5k4eX@#!Vq++dSf)!PeLnw#cV4Y{l|jO`0tx$*@=D9c5uV_Fd=mycK~*im9d&uGNZQF` z7T&h&p8->pWy=Y4;N|mh`ai=}bpy7W`9Vp5BOwdra-qwpD#y)$IT4}XU+56vL7JDLmVA~!9zk3nZHHs$ z&(}^13?ZRlN?3erGV)M|%8N42n~&UMQi6R}W6Vah4@DltJ0U3O#-sob^{Ec8!Ocm> z$;%AQo5Mbdq~bjfV2Q~tGdyb!@zC?;rs2&+9%wRpLrKT|+v2YN`Cq1s-}hPTD@QRQ zf*`J=ZwI{lEap8d?ho=OpWj+{vtQyZUAaw;6k2$^s^z!PP3B1+85joPih3?I#*vezEC(a0}+&ecAG-0 zZf@}bJ0Y{k8{TXg_zM{W1zy~?r*C(9)Oi*F&_h@=me(r)_Hq}f(`2P-WHsbZKuP2< zRE_{8bFBgXBYZW-9KOaLFEgSiM%uj};Px!2LI4vG7!3HC>4C4Q@EJJWP`;$s1@>#6 zvE^9gUND7V3CzK{$a|FR-d@HzAQPOJUA_FajjH)Q!vc9=1I(142u}`+>WWW-3)vXj z949#;xlUQM^`CJsNDi76^TL(q2AGm3tu*Cs9W4#P>hbO6DIKbHRk!ZUjmV*0}C;pS$OL1@&M= z$oy}Q#sVQ17UkB5b_ymS(1}mD1V$;#j{BKhB>-xcG3iWhnAW&PjVVU#a@zE!2wVq4 zdsfAQrw0Ucp!>o} zL^viCuLhx?=a-N}i52M&C^WbLzBJXD0H;gFmlYwPYDr)!s*MHKtD8W9J|R#4@x0D=^q}E9dm8zuajdAbNTc< zlCUlNV+Qdtq@O1F7I#<8qq|dOoI6&%|*Q+_T2T;icD52_3%a+98Pc-H)vl?Mvauy&efTX=>r~Y+>6O*t2G`7HwKpIP zre8ol9oBOnchXk6JiJ8Z3sX`2;>&Zat2Lu@``Fe@>HjeHPSK%-&6;j(J1e$r+qP}n zwzFb;#kOtRwr%I+-+e}p?y>hpUryA-P0jk=S@pbwcqy<6H~kC4!+F#XF7#g=(dmXn zY^-wp>U_-$8^T`}f2uXRDBY}1IGs%%{>6TV>pOl&V8R3P+4!pT8(w6HE({K?x{LdD zfFfY?r$uO7E^CCOd)5`!4*u3_TNt;+nkwy+mC0k4XXk|Xx9{ctZ)UdgQGqIr|y>w;&EtK)J>X86%0Iun8NYpRZ$b*ch z`=fPZoBXS0@URQ-`bcfP%GBv7dzju=hR$331@r1vOOm}sMLm(bai4w_zR<9A=XMgX z5m_M7Xk4KgEjuEwv)GZNld4yBxN*zTSvvYd$~2373M%#Tz!_-Y+V^#$3biq2_EA|@ z>E(=l+Mi`^%J^oq?YzY41f6G2Ao4igE72A*P)a}umM~zCDgU9BG};LLu)(H;bAlx& zzJH+#26nAer@O&*s7TEJ0MK}%Ok>n2QwVnimrq>3r}CSyXHqUC79|E~FXLQeGmiU6 z1;aA9GM}*{wIweBA6X=YqNEO7yFqOo+$(Kh5@$Yg~?AqS5AQmc>QvxX34M@r{A$RkPtdTEJliq zM(USK2kIx$wkjv6D$)SO>u9L+VrXii(w{v)+m}AWL)@wvCohM)Sv66y#;PM-7?`Q; z-*p)8d+ik_HG)QppHva^WwjNqUSSpjwG!bXpTprwJdde6+UszD2rHe8!tu2LVqB#m z?dolseSfq*^qnepP^HxLZ9d9JwUmwWW%^`0M=|Cgh1?C6N!%AUasrz#|Kk05jL2sX zdMO=|GULvSZCh{AcX&bq0yi=ndnRVT?6fz7gsGY(tO1`xxrzr;Ll0_%-r$y-EBkMiezZ_3X6rE6)FuJ;ptF&c7xnV|O z`%_-WmWJY|w(?A{;d;rCHA?7qLvs_Ka|9soo7jdqB!+May^>}mPi|E{zy9j;6qipF zt`Wwyu=~-woDi8fC>MDvLtY?Ede|L5pg})Kje|*45~(Q$$((sqBp_v7aH+{?!6a_eiu7UDh24^!}fiac{e7125~&*i+Dn20)QG4_p%_-T~pr z28|&K<<>~uHwK)%%!f`c9|%8&m@jJ}gJd3|=SqYtg{Ik%V=2&;r9HQ|zQG5pN3?@AWB+mZd4U-L4(F0%I7EqM)I zkcD*IOd5yc{jP-ctQ*Fsw>%a3-mZ@ygoJuO>^z{lOo2qj5_j-HtTUeB29eh^WZgNK zip;4tF2dl~nh5ziOk|8eX(Dhm>>ouY-ue3Z4RVpI@7;sj`dJ6}MQk55&I3n3sOJ}( z!P6aJskK8)d+cxs%1v$d1+_34wDdtqSh>GPd)D5aGfVQp$bTVN0VT!OHW2nIcvjC#J;8OgEi~~5Y9TK~0PP5ZLxHIT@So?i&nh!Ro^k#8lpV#k*RN$YHyQVF z+B#;Uc6!?@f{iuZaw^M5@+F6E@sQU$4zpa&9l5ar4&oHh$}Sk>WNKg*65mZO-Q-XVFw2 zvv=+}#a95hYc*A^4e4{B#GQ4DfffH!HV z5EKhyRvnL!W^vFT^x9y8L7nHXuFfRcg8UORB4WN=yShh78 zE@{Yi+LOFQLbW{s5W!We8Xi2BFMN#cYZi)-Bl%_@E?dWkL&UTo8l+h(w|IAxmKil| zgFRhBhL+ZRUDIb&@(Cw!brGF)@wW}`fr5CBN$@5(X}o30btup~KicxgD_PB9BH(u|iz?_Oj#cE*oWoGcF0X(Kl4s#?H54@%bt?lW;C zI3T3P%0pgaqz~)4HtL3&PFHFnu8}y7MzRfQGt0&gcWkIgYl*cU#IRBm$dU#Rt$kvo zbyGA$TRi^p?8=^EH;Z<--;mzuA224JmjXk$2)hO8LZLd9lA_BXAxn*S;Bf>ydRbaa zn4=7a&C;zlDr;PeZO8gt7fw~U6C&CV7$+L}XvZI!>{HO+_?H5eKGA7LVUzas59ZEH zr6U}o_&_~E0p9i~GyJDq_n*sy&Beeee~77zBFugHz)8qV6=n{X2mfKy)3^9FB=K^# zBU^ntdZU-w-Rp%KPud;Apa*{ostcZ5vW+GYyj^q$9iC^suPW94A}iyrHnS7m_iS zq}i7NJqEE&0O#NOPs))^7Gr5FzumXBKF`uik@f@-iT%j3QQ?W^#a|TH??ws}g#MLI zMeOT?LvBXfDz88$bVrfb>}uL>aA-LskYoiVCsR{u$_m zIc)y(JW&)=jAmn%k$_oBZ1HDDTKiMPOe7iA2A(k{xNhgibL~w~Wth6-HmAEV?F*K? zT>2BycpT_OAnsVmxwi_eLV@aP94ze6A?809)i8=y`pG{h{}_pFdVJ)~Y~xknFa|J4 zKXNOq>}hOgJW9lm^CnK;rZ#}E*ddc|!-H@mwbN%)ceG0+6k16>Xtc(hRyQL~jf}Z1 zs?%6Xw1EVhe{GNP+`y*VJe&^4vkibl4d1K}_~TEm73}dFB0@c=X9JF4u*EqlgN1IE zP!{^jZH)hj6etZf+)ixGpcx1mGJV3d`Il~T?35VX{RFo&?i4$SQ&W8sa}%%E;VRI{ zDHgU3g*Oo-HxGxWyn__CpWDxq$avT9&IQX|Plo_z5*uKU6qBTgDJa(K^vH;&_!~)L zr^{5GQ(KP8r}RtO3&X&5$ufKURvBbhim&Yqoq+QE97I%wV8Nzh(0ESB&(ZaC9*xwj zb4Am}d*bx&TM5F~((e>Ea1iWOva^5y zPIQU}2+@HKuwofSPLuC<#+-8moa;vdxn?FwjRfAsaO=Mgyb*w3-M1)xc1lRv+mjFD zH73R&h?0Be+3=l%s1AHp4)>hh;z`r4Lc$(u`Z_(zae!Fd zN(uxvy=<;!nhcrwaR8m0Y7XI-f6tA}7UR|fmD6;-Siy0%WQH@k_gymDt_kZkuBWC8 z7ugB*=u7DRofVR!*b@kq{b~jc^4x~>(?E}hk=N{Oy+%>$euh9-Yt&I#Z z&7*=z4GpAla76&Rk}N2m(VT?H46t?>9I-NA=hm4umk2gkj+kR!6TE%M`FKxW#H+){ z!EHsw?Fgl&`V)BFH(NH0iOx1GQk@;($)mlCtC4N;9CW%UjO3D3n!>+MoMJK>-|@+5 zD&(VP0(y6T{i3qKA_V>ckQBnq zT-dLDp@yv$pEmT~(0A&aa$h)q;|)2!56TFTwbmz6$hr!lE?1l6_3tLz^8-k?;p6$g zPa8cccE#)H7?A_*`*I>j4m1aqggpy)fU!5>I0RTq4eS(a<+Zm03p-=)6ND)~lhCf5 z4whi;gY08tyD)Nla-!q~MEsiY?qbO&x}*;Kw;kB>DOIjvT7LFHLE;~7$6^`W)n4}E$S z*qSpipum94LA?ln!X5G$5k%KZYV*9Hpxepn^S%yj<~_J;?g<@e!_+rPhdW00J>VU% zaMY&`-iG3{fpp~4V(JheHFbQmrfq&Srzg)?*~u0L9Waks)Lhe{VX>< z4^ran%Hx&hh0TnB2Ac?*Fr=90a#HZS*tz9zMd|{P$FJcIxxfemEN1e(cIk*Z?*GN5 zgVr;R_rwxPr>j`u8$`fN#Tg5RWQfy^lWe!MxYruXW!jk<`5^PqY6una<^9s|M1-)q_8ILS#?mmG}USsOx{pu(}5B{gynL+8;hbFR<= zI`Ehnd{uq6MV5-#oaqzz*j;rmRy8=+^qQMt>QUkhy#|e%_gU`k#mjp;lDpLq4(Md1 zc8BpjzS>)`g?FqY?-ASLVuj%-Z`h&@u{u&~pwJVyaPs7`hbr>q-+g$7?I=(KZN%l-mK?nz{0(nQg>%$owhmv54539qE0}co6OYU}obTcys z-WJ~LLczc}wrdfqqnFzIB8-g3GIFuQKqJ2E5?V{n7v&W~iTTV6t6WixOare}{<{{t zFOAMLY3vhvR7TQ6_`oC^poQR`{iR^)F2TaLiiL{$nu?XD>(r6FmKXkQ#%!sF z-7uktLlJ46Ltn^&qfUWWFS2m)fxiwI(;LQ)d)op1CN}~7K2I;B*l%A8laqLg@L1-L za-TvRe^-}dc?3MW)R@`lsE3r})3 z@T(sVeFX2-DT7AmEjn_{GpDF4vp?`Mj1++sUw#fxwBvP+K1CNv4Dfc89Mcz}|IsMM z_D1P~EF3nEVVLwj7AW|X?dx+1556Bft`IkO$Tm)iY6IG^8)pBa=8z#P8>(WCSQtvo zo4KTLyvZSbIoG3j`Cf_WdUrAOi}mRTd!MvP0!7|i`nOsl!#uQyUMH7L7Ba2>qhFiu zhxB}ghG7fy@t8Cex@vaE{(R;~cIgx_3P5!1XS`IR+9t7a7iWOa236G+mep96$Xak^hZ7fJYb{E< zX1;LF)J?=_1OoF2FuQ7Vf8L^?Ne^N|5nfCB%LzX_PlzecTNs`yliUV(jH1ci5ZJpc zPX?hhigcgz!6MKt?v8erI6%)Y*HY+A$7GcF!?7|DzwD$Fvi6cw>VQ! zlY3-RoB85n-_RFHE&Ley5p&vuW@~l4Bmc$3&^IzXBsI9IBnj37rkJ zGo8>asow^j%+fM_&5rarBwJluP*4X8wG`zsK!c-FD%XJXByl?!beeXx@>UUqc|$}o zq7dIOxC6#8?87rOuvw|Rz<4D9g?PEj7E|`jg>v&OF!1oa)ceD~Wt#X)wEic@NpLCr z1;|HjYd(;oje^i78+^vS!1UgM#+HJVcHrr7(q2{rZU5#W`SBDoCO0hLApk%Ja){ya zN&$>@0Q5G#8i&|BBy|c$rml;^?i~2I`Do8u%1a(gwWh8Pfab4+)&rbz+XpIFazaBd zX3~?f8ifqxOr4;mf}UZ9H2@j=5>$7zZqMxYWTIJ)Js=U<$^mNZ1D2@N$TSft15x?M z6G_!ZY|HH&^^%niz|S1V6?GR=LZ#)GY7dddl6ymRNzxzi0J((B(#62PDL)7VVP8!@ z77@H=3e_2G-*O!#2k0-(%A>&|Sq_|*On|z=f#%nxl60qHwVAf>FGxLN1*x9Ii<1e; zid~!0Mh3HUkLsq0-&uf;ai9A-Khr=uK(nM+^61mtIeS2~2VCCJ)}tKJ@U(h`=^MA= z@?vLLQ9rH>=){vAk`yH1%J?8imah1`NPVB*cpnhS{r_FEWd46`Ph@6gX8OO{6OXjC z60utTLk`#9W^c-HJ%BSmP)=HPbUi4nHz{(}X~xqOnwH+^lwK_)Ia)d4YGn=}4IL0) zCvMVGV%ZY@HwO-Wa-SU(^b7g2GSlO+B2x?fxr&}jLz1c3lGa$JXXw!2`GXYGqarXZb|^M!Sos|Y$GQTctyf5x z(WNupnbLduo#(qh*9>=^*3;IJ+M3qeQ37^**wArnxM|6}b@#&3{FoXr;0tcvxT4+c z?7Fe5w(o-HdwFq~w5zGibaR_nt?KC5pt)(MV%<5I!qfdB6IaHJ&^{e*f=aw!?26WT zl+KTuTNGgvgqmzc><`hc5u#&DjA=;Y<{T5n*bytAJ=tJaoQ7YaCpGJwQw^0puns+% zVNO4))(Q#DtwAZSCa%Qg-8W|npguaWkDGa1;6}9w$Bsx0s-u%pGq$&PG>M}j{aXsz?J2-!s zlx6ojzx(un3R1c8IN;OM_K(c6TmAaIcgF{Bm6sVoc;FxY{!!qUI|(%kE_L(Amm}h} z+7~Hz>Vqx1o;KWv?^cWs+`#J+pEYol(a4T##}ex%T>M%^tZ`5NTTbbtSq=5zh{ZLB z$JF{T1L$&t=vk?{n(8D^y5=;VD@LYP_>>bf1|XnTC>b3d?q}kW>0D1oJL~JM9o9Cz zJwN1TO$z=cPt4KIp~JbRNL?So1)R^*=g3v{j-Em3%U+wBn)U~5BaNlC`xH}H&R{WZ zG%#s}x5cb;%LN*bG2*{#qNA^OgQpx$f0{IQVNlkKjJn}6a>9>~Y3N@^x}RWx12&#g ze{Kx&C4@%FL&rwg8d65d-yYTvdZrUu1BoR61QB99z}X34GAk zV^V3b?64!>zj(d^W-R@Bfj_(S%RPE~I-k9x9UTLlj`-Z&cS3gkf8!b7>#orzZd3G# z+wY=;XHst74e&PIZdtr z;WgR)%N`mDb>~yD4&_i#CrX<6O6yFIDFek@Q5c~j8Xv>lP&v~RgttDa*Xh1@CDH+MS{}9>K0H;+3g<&7X zSgo0M7Z`$O518!4?qi8^(}u0$We<)Q7$-0Wf@a%H9(hvBH0_r79Y%!Lh?!al`;Jvx zqxG_7Z@q{vh4QMbP0u!gCo$&$Ip`RN`ExnG7l&TP9A>ePZBCArFeuOkty(=JB8jgV zq+C5PtD{|^D*MPMlz*Uh_>y}V2(-2*Q%PeEjg{X35$7Zwm*?Z&1&oCQT+o2Y!g`>R z1m$fD{>nPQEN)oTpTW*&hGh*{mfnWt1I&HVXez>XC?4NGgQr}(-2j_e0x<@J!xz$P z^~V{NraL#zP2Jm&uBj!}_%(3qkt%6Jx^J)g`L54$HMHZy7GfYlj~I}N3@B8$&HwAt z0<$0(W6K^sk`XdO5XStVk5M4Y9ux6#%u_uA)lIGvJP4Fwd9twh@4XYWVXdLr@&P-N zu9Zt2K8J>d&ewxp7Hyh^rZlfs9RQOiy(h%4BXIi#Td-a$NZ^H$Q@iIU;7=HM>)ftTc!+*&8pg2L#Yh$q5{EZPV{6q3 z0>e~&_E~orZ(-rI);0~BFq6|$8rY0=QbXe$2DsrYB2nZ!D}bFr!eNATj6_0W6F@%+a$0G5rhsZ1#$2~2E%0&X^%fowjvqT@L*R`{D)oP$ac zDrm7xMEb&j@(tGno>=yhAl$x77*#hgBGoyp5~ey)P*5`#SW~$E$|qhYelB7J@K%-4 z?`6$JpUjHjEz^oEq&y608DY`xc z`6fhkXM~5-HWW2-BHrQ^ZD(dQ8H}C@S1BEO=h)RDl|+}LXcB{S9-;JkPBXS*K$$ywlFT!hUcduo0Q}XM zM=pMX0v+YDW-w}&Jh?ut=NYr%j}QjtJ|hCxU&U220g7|TBtodj=>n9emjV>sXdkqq z(s?$SKvZ=bK<^10)4>^Vs;XQi%xV-)3awSi=n#5Hd_KLVb#8nV$x|{P>PtFj4g1W> z(%usiBxBxsD2mI`S2h??9*Kl(fndR!unH?;(t#Xf7)!;laf zSSe}ho$P@(;kf~%)RA35(mYh2m9>+v*@qvNtZi4E2YV5nqYwWtga#* ziN=A%TxhU%Xp!KTjzX*z=r5mX5-kT$Tgk?ciPX@;KYQr|B0iLJdr zj`Tg9yE0(19Wj6aUNT841oxplKi=?_^IDvobd&0lLAp1ez*<)|OhIBVu?{Rznamkm zE-U6C9WYN+VqdR<($$gW?GzMJQQsXjh_9}~dI8%>8>tDv?j*9qX&f%k{fiqB`QIsbUq(0<d>fmmMH*&L<=i@z82FK5igSf+YKNpREQk?nYUW) zVZ|1wsOeidCC=@~8tT~$$V^l{>}81*B7jgMFta7}-vr9j?z)Ws?HL+nU5u?EGblY6XK*J~{o8OKG6lrYj zpIj@Mx9HC{^8OPpjX;H=5FQgnUl%M)=n~{UjR!=oN}$Q@MTKowY|}GEQsn6{fR1Lal`#dwlMMSouj~vv zz29&^Sjip#fcminB6>lKvwlB1QpTI#f~&n}x1>nW0aZHD0`)R+{m6OPopAzqiUzB%Ae}MH*uT4>1sZ}s5Qhsi1WBWA+YO&efKL>LXNSLw- zd3VhhZr#f$FWu)Y=UhpDo+p!p(pZAIqkI%9NaO$YD#3ZsWq6xtm%Wxd0&7ZX)x$@9gmG52Rsad%3i1tYxvp zJ?;5QIk|Ir7A_FcE-*@RP|8(u59{n=;wZ1*sEsU8m$fphW)>q;{{okNZ%7v@Zc=Za zNye$HWx01oG}WV3vz@3W9eQk3)Nu$N1`G}-mL?U7@~Pvz9PXu9qsy@=vg0DlL-%T* zoeFjravv+O6%zpr3^UXyApq>>zE3f2=8oj+u}A#)E`%ZGqt%hzZYaric8fscxB6jH zie~dDxMo(w@uw@15k$2J`UQ`~;@_N}R&zOli0)IG6r}&XGIyv&6ZRr1WL4qQUMNRO zdxQ)nP*)L2bv%w-J@=`e7V?|&UOHR|@mTU&dqxH;)`;+3x_xC1__o~+k4*lwK9L>X zPEL3q4HgqZup)i0Ky}RZp+B)?B~$d@J5w53{?6f(3C79BOytzS_!lsIGM_MOpqZA8 zZ3I>;4CdrbAoY)P!p0XV)G_6Nu}?@)%CP%k?u@-ztBjpM9RXCS<`|V(x8CixOhr*h z6o6*S`1cm+*RhgB+F<}rqe8|JOFQs-+=^vB5rJ2<33!{6@^-wEt4tK1 z3>a`n*slMp)lKcM(&1L=yy#$~@;gk6H2mod$hn5kwCyQ0YO%%r+Z8)vs>40D?@v3h zbi*24IiDQX;6Tai^b~tId6Ig%k^)x<)^2;|i+)WM?V>#U77B73a|4^jkL-b$(^miw z(x+{S!N$ZmtdLLK-#Y*5-zMyc^>?_5(F2Op>WW8%+iE+dJtmf`G_*#*#$>E|HgoYz z?nUPkVG)9@Cc+_XOOEf2jdezdN@x->=~VOmTxy3C`<*8SBg{Q7LskAZHr6I=EdPy0 z0RtWkF9K%9I~F4bP@-u}cJG+PBSvma|YLL`Od z=vBN^QHguJfDoi|FL}OlL8HEM!5yYs&OWb4VDy$())`rDXr++g*Qd6eOtzm%=0jB3 zCaRWA1-_la_zUav>df?i5S#u_is1iZiL3v@#7&Hx@#&OY44warE-q^4_{$a-6tr{4 z*ZOUzqsM1qV#8-*6A^}o$+=4bLjsV4$it#o3PbpgW1}t*`3!_Ml5?N$ON$g1g4pF_ooh|24Vv;O4VZa9J319+qTsbXSmdLt$`wdQ*t*rUa- zq~+!{+>bOE`nw}t9<4W535xVSJ$#s8QzqOS4qUZ>0??KW#+)7?fdz7CdJP3S1O_Qn zSYdY!OK&h*cQ#!*erP(ue=S;8S`B2vG;WBt2vbYuZ@%FYOts+>wd;?UIr%3mQna3oEj_2X&!x-njF{sZ)0Y)*>bo+I*Af5J*N&f~ z;+4&XPw}a)*X&kywiWM=V$Me)n)8PFHMgC1SSBZ5mrqNij}Q9T`D< z9!5?t6>DF?L&ln)OW2?BHB>IY54MvNc8*to$HY{4kV+thD-+pEppeEi@S{C(q08(z zSfu=FiE|yslz&L&-GuVeAMy6Cy;rf+iiex97}~D}?MSDsJD1Q{>UnK|xhRYIi z5dy7O;p!#m{Mlr0`G)G|WVw^0=uGTVpzXy}Gp+*;I%w zMZA&vX;!$sDsBvl1Gk4hNsrX=L$E4w8EYrY&5oAM(rHG%n9Vxu zkV&CBi`O08zPEp9MKJeqN}jp>)H2Tzu$HY4L%$Y%C&6+D`^se4cNbMR_Yy2R+`Bg! zQY~{it3EF001NA5pYYvi9dzQe$!1UV+EUfXR<~gfzs6jExp8ui!}Rtp0uAW0%={iv zuVur)+rrR3-(R<*+}4Drwx18KPUPV6n&Brfa=(FR3_S$@doumytkUD#8CpX9C;bRm zJDWJ#{wKZA37fcD7@7Ph|NPJCQrg7U%-I~Dk%fcxKdub_m#CkWo#Ljfw1yTo)5X>$ zpMVgVG;3w92qX^MB_2;p$pDEU*&7Ey$SSOCFRTz>48cgg>;F$EzK$?51W=*w0t8cd z(ZL=CD@DS%3UjB^<7O&z2k*t#Dz|H9%k0Kyxg8+xGYGU_S{>3KCSM(8?_?-ECdy17 z91!Lf0N5H}*S?`a5baeIC>_XqHQG8I`4zpZ9S;BPgK~i{x)0zdH>pj7kO4qGE&AmC zbxj)+eT7H84`#IeNp5uWrm>YA#X?ow}_HdKz zAcg~}J33w;6a56@wT-cx)F{YVB9wpF?ywHiTb31oJYkde*h$IQn#L%BoH3B*zyn}c zd`$0lo=$yo26+O0XnInU7Kykd9FtUADKsV#IcjfaM&=}HXp$a|Erw{HVKp671AEUA zz;xzQ1I5Dzv!0M^m7Rl~-iF4en|#qv=QA_m#Wh7Y*zX!s81Hr9Sc7NEA+q-pIv z%*Fy0K<5HbzT+!wN}moOvcB5|&c^|_-CI|2aG%EGlP&Wo2{v5vGCyN^uGNY%&)xriUUM2YOfx z_-!g`EFV;v*n6VW}Vfr%TQxk|8A3%g3_?#c>6d1V|q`4Qd z6##x07)XFT9K=DNVK)#Z4p0~$9mT&X4A0aqo6aiH+%o$&36uUk|Jr3&-7*q&R9y{8xEl|^z(s3$}jQLBQfx#?2?XKGH& z>?m4MwYt1U~xf81DgDVSy6VWRw;J@Vx*^V*+KgP|JG1-32tF- zIc$<{5(RNnVpfU(Vgeh2E3$0DEy6DR#4%B0ct>sx>1{z<(p-WavL1yzN_9#Q@>>*D zszq{VN^J%A;&3%)koHA}~(9;J6n zl8ft0qKn&QOp88?3yUpfZe=?Q{1#~z!B&TsmvihDcg}D&u@l(WSqU6rC!5Q`EK|%x z%xdP>3)r(+%k#_k3*+ljY6RY662>! zjUO3`ompJITu9oV+JoAeJcm6MJVQLMJYOCm->JWdzi{5W-j%>O!3e-W!K%PoVDCby z2T%rdLcc<5VxnUVqggRrFnJhNnc(QB*=$+5tpr&e*fdP%^&O{BjK&#dn6_*@*I-y1 z*rXUL7_b<_rf?=fk2|KqXlBu5(FCKwqOhcq78273tW9Dy=V^jyplLd&b2Tv4hqP=O z&RgEiZS1mbx6FM;LJg74mCP569xAHRX;zwtpVzhTwRhSoPF!bvY|U&(S~iT_7IG}{ z414;zSH6RS{soQZPZ`Y5^)k%WE#HAf4MQ2(m}a{Pa(Qr6xpE#qF0b`zTzap*p`#Z| zWk^L${PP%oczyVD64Q3x=BRz4Q)CO%BHYqttLUcV7V8!C0Sxa0pCgty5?oSdR(>Kd zW2U>TOIQO}vtn)bEcr}fH@Gp=G3YfLwvT+Ibmg?8Hp8~ovg9^Cvuzi$L*dux7x%;Z zg9WGwxaoiFU&cSun;hUHP?!fQup|H4#x}tbj1rt`49CUazW-ly%G13 zq!DqWDnqql-N=P-RH{duSi2A zStMdea}f*?G!Zu(`B`AokMsUTO;RPT*4MPx$T{G4;C2Z&<8&u-#BHR>WIU3tGTS-a z>H9f~@%PHTXv)wzCGRE6McuN{G8?(i6g;F|Jiw{(X%5Qbh{cc}j7>}rjA0Fv4Ur9n z6IrQO+N>l{NGv8oYf<$bL(FS4i~fVc^}3812PsO452S3IFXB0lIrMh=ZEN>36J+;3 z4?Vg8nteKRT6tQv&HBzoC*$ubv*kq*g8@TmdPT)pjW3j1Rsh6Gd25Jf|QMFR_ zQkt0BYdR+KO-<)ME|O2;F={eiRi;

nj}|9W|GCs|%{Xka*1(+Zz3wDbJqwX|R8x zkv?fY93Qx>qHNE8Q}69<6938?&jx(=e9r>HfqkZ8r>1B!XiTc?D+*oi_51rKcHI3I zwuY@M>`Gcvae=~!!*KmFU$3491j4-j*2Xsan7!)QfH(asL_XKv=2%LeC%KBfz~%kp z-q#a(;GpxM0*J<$048!Q)g#*J*ca zJ-haB;ysgn_HxPRvHkQ}2R)4*t81)t*?wqW=G5z(cL4r@#|ef5#ubJg)=tNzbB&q9 z=Di>Jk-VVRRg=?!W`8w5`We4>p|E1NE#6AdHP-QVs`_4a(&A)0v#H^P?$dIZGv5{Y zk@14%%luWRbB@o$d(OjotKS#IWwcpG#%J>L=-YWp@MbU+JT3e{v>`S^>O)4yr~B&u zDY2ZGUNXc-^`reUdAR1*7|*%jEY zMD7`nFS$eF%yMHoao9r@_89~f-IZvRLx7EgMXL|6M`RG_ZB+nf&pQhr zp^c{p5kS9f7w8X!@uXObdZ0X!5dp*ggN`1AuTcsMF z!W*sqm+LXKA_{p5-@qYW%TA(wD~>U3JkgFQf7#o!pr)Xm;ak>z{Sb5t4R-;xhm`)DluunRNn5xGY2n z4ztAt;w zs4QJkb7|x@ZGFj^JXxf4RcDIKdCT9*b57~zVq+VVy*^~-rP4Lv)#Eh?J;uwIG+gR1 z*bRZ>h$Af)HO1dD8zd!O0uDP20Od$ZAP2>MQDQtBb_dOyA0 zSL${n(CJOzzGMP33p4gtwgAM$BeFhuBM@Sb71r)kNWiwRaE?NhtngP~0Yk_|lJe12 zC{o=ooXwa+HmnCase-ZJDFpyG;@B4kgidj@r^9TH0H9v-fu#p_pl`yTxNI5T3$CB3 zqBIZR1w|*o#S4~@L*@g}lK+2tUL(br zq3vAWK``aQ!I}Ro&#Ksy8K3Ex5_O1{2~0ORX$~lZcnX3ZBoOax70sw7&3X$|4G*P z_x<))USFE-PQgto#IszJKCR5l#D@|W1%#2uDEbdT1pB7lp(f-{`6`yi5h%)ey92xj z^e;BK^sXzHpFBp1aoR8~fMvK&p%FqC7>7ZO4Y;rA*WG7quzz@W=L`4?vl&`N7 zY4!!BXArD3`z>y%%@%>ZAX4iO1gVke2QHFCCpPxA=1%wE@?6&s#F7Ksl^qc3uP5Wb zjaWEiizQGW4H`&TFN&t)%8PjvK^IcGu`Sg zA`MDd*m!iJ_j7Djuv$^Ffq zONx7!y{tY~pR3O{{JPg;QCau0Wfi)}60~>(<|ZszUXn1qZUD9ndy@ z%DJgZ9r}*U(m0P6j;bp;)KyOT%p$G$@^O;nw_&2&PJpG~okJCC>hj}iQS{C#v4Gd7 zT;{I4mk#hS9}e3We27c%1$NAX-h%Im&hqnNw>sSwf5)93+Q^FY^051aSFKhw-6U9> zk1Q5zleDN%SIm8b0z{10aCiBQZ?w2e3OyDnQ7E(znUv!JMsA1^t=(Y04l4fqp||M)JCWHA`wCf$&P!OF)Mhe3i3-t&aU zeHr4ngh6>JEZ9JH&Tk_sPY_TfiuN!Qj|ggqj2I@uk;(J`7ZI{o7TML#&x;`-5fQZ0 zB@#5iDvu#X_bqOC3~F)EVVf~7C;>x00cc>ulrTiGzWT@QLpZSTIyt&9L6E4@>wWqx zq#eb9a4{|XK~OO*hQvnQ0Z#6qPVK;$pkI)cd(Ew5OuGUVp@GfjPwyIho}P{7PFtzn zO)#ENS#Tl;iFSW-!Yh22pqnp6PDkJ1R9$VPrGoC%+S16*--p))sToKk%@2V=;kDwI zyUeR88p$N!Lmxgq0@qEqGs$4KgGEF$b-grkuA^7BAn6p3&L z1#Z5Y)Z>k%1U3aijrH{-=Ku<_Vs$p5>ir_vp!lK$$@luCD&pWd$^~@Cu+?(!^`*CP zJ_|aWu5#NM(D*0kGK0vrP=&DvF%lt;TY3%=@|a71D&9`t57~jCu~#G5+yHB)tZ&ub zzfn*1*E6S-O6O?e6PG}84oAilfyepZp%X6g)Q}c-?1ZsXon0LcaxmRVEN;w?MA)}` zpSZ?HIp4kXe`~qE$vZCZTqaWdG8f3DZ9Z53cHD=?PnD!EDd4;q%t8!XC6L{4vg_8& zsk&$AoZMxFrf@f7d%#pAa_AMXfH6pEB6ZL5G@saK)2IE`R;^UlQt(=k)fC4%M9n$Q zKk9|V;j4|^2bdCV<%M$8qg{zjaK-7Hi$`qwXG+E4t_IeEqY|c)GtmD~r$R$XrHa9C z-_Y(l;V|KGgv4qjLV_~;F8AjHiqG>nkFbXOe2|@x`XR;osr)Kq;=unRs2|~~LS>^jeRKegnlxra@ zf3e1kwC{uuP5^}-dQO2cKiU+3WNY?W)AgsNF8$+I$XOC|7T6Lu1eKI>t{I+KYhN3ZY84n&vj$x~N+NW1+RrHsYZ^<)G1a>37Yzm>ws++O5<^RaUX@V)M z4oHG8m2YS4yCh}hG^2ecMhbghTGOzoC}Img}HOshA6x zcQIlaW0p6ZPkbVGc2RCMABnNv<{@&QnKC{#o;^GoY+*R(>bSg7|A9W%dCQ}T^9_Kd zoT&T-NgjWPWDEE&|J9~8r7n4h)ei4ZuH{Em>HcrcuK!29W#M3D{Qvqvn>YUjNNl$@{6}M_^Mq)X7=&{Z5$147jksnmnGDv$(l%6Vm4HJWpDUaZ z?|AYxN6`Y(i%oC62!Jpe4eQ-R($fH|JhEtEawsKQf((84@nUtMSe{OGgz`v}+1zyw zoDOAEN%L|bMULATGctMEpMSWfLjF6OXmj_4Q94(CsWQ{ai4W+&Y|!|=5>?v25E{A7 zSsE_=)W9^u=q@w8voaCNB}9%b5TnuUOE*)MEJBTZmpo9VOiHuF2c3J=YD->bdw`z5H->bG}BFe*ZlmE1= zE(9aE7wHoIS+9p>fKDup9MUYnM|K_Tg;lvGWH&*V(vr<%z8o z5+M5GRZx3xyXn>pu>FC+av8>5R(o?A-Y3>&t$N0O(TO@Do}W<@2M~4n5f0zF)HMtBoVpM!xz6 zMq70uyquWq>97f}S#KNd1^l$RrS918tPu7yd@XL8_?wLho*N3W-IU?J9!C$k-gbqs zj+?szcL(?!iC&4SHWlrLtL$85o2sQaXXfM*6)Q6r<72<$90>yt*fc?5P;h5uO zp$1y#(oTo5%qPeG9PC!vE~wDU9f|yw`0Ehj*LUYKP!fim1k{FO~f^Z6dt1vx9-D0 z4bt(yT8b-YR4BPJ=68fF+ik=dgDv~#ZlKwfqO}CDq$Te#&5`tniq$C%t?Y(+|oMFER2lX4pWYnN4?$FmUA}y@)(~eSenqDrJ+w$CsS$q zRRHvO$3h8Q8em+0!aC1HSnFw zBL?<&iRqZbhix4YK^`463e$|Q-byAaoZEb}VXG#iLFV%9WFgWcns^Zx6bmLG(7>z| zFzKOyRN-Q1cW$D;{_kAinHPz{x#fRok{Bq!-{9m~pmM1#fY!0kjNntV8J$5*tAF}3 zW&w8!4d~m}Q_BcOD1+fd!o^109+#1NzCA69h&83-G+T1JM8M<}ZHJ@`ZyK#CY+B+^RAU zmi>jzOc-zj8vQqgYi3;r{*&)C?+l5*jWAQ%lZ}^*flM+x!U0IH=TP#L^(xY*ZI4~) zaw5a16uE!BD%hK|g9N(nb9rU|a%`fKSEOHEpIGj&+_e?d{)COIIq!Y}vHVLxNd zZ>=hA;-<=*dxXA}{=RNziN@?ZmBdcOhDfC*R|d_?R3buILupERVq*FK0DNaX_h2Es ziQE37KhzkjfoKJIs%qx~o7dP;RK?Un8HzdL5f*OeW zG;#*PL0~8*juzmn%p+}g3F>&JH`2Z4;WxXT4q`r@&QEP-ZzxW;zlmps*@=>Z#T1>} zwdrF|5Y?3=pH{*8NO80d94}JjK~lC!0~?&g(~T0`Zro}Z1)k^O^Quv=-7WDTk0rN_ zohxFb^phs~DefKyA-*9f`SO90&`XdhQD)gK2P#a@g4%ig*m1N^<7k2I?Pvear5x-e9RR4^U}LB$NI z5b?`}oDvUxYqY+ywVnX*%pdQAVFdQ~jVTfCr*jPU+SP6)MzbwaqU+9u#YQTT8oUrX zLH4Lrwp1|QmG(`I;RD*vPt?j54{Y+#l^8zi!u0T0lSDT<9TO*f;{=NHBkMmh1LFCC z9z^77K~ki;(%m+wXIv;%)s~hXBefSfhYl`d`kgKZ;iak6pN$6G`8g^F>_teQG#K~K zR)?3wsYd;n<^Px1mml-MXs2aonZ;@kkb$&;VrOFvy+Fwt3RELW6CJO{Uq_Il*5qw< zhe!;?w^0nDO_5;YaTU+<5Fe8UYn7w9GfEv@h?P}wkn(m)+u!;OrF5jp zzj0^Hn%v120tV7pwj1^B5(k~3!J?Ke@8@GBsz}B=3(+-&Cvcxt6yJ{v{u-lT{e9+m zS=|n5$rGAA^sy=u3|H45(jw0fh81HrjO4%dYsU4n&U#g46eyDJejgEzbXh~>Mzqy+ z=B+oh--$s8ot_WegQS)JOUv2KoB%#U0;?HdqLjV{B#I4SnVquwf)^p}k5aRzZxke3 zf7kq>9CGjr4H}F^Sbf#8KNF!&_G{DI&5(CU>VEv0Oh%+)NGA?kiI>@{U<|-akz|!D z+@S(Oy~7u*0a^MNX&`aO2t2O5|Eqke5I_Dr3}=Y%fJnCZE7{CLpbd!IaS}O%YDq~Gumt+h-CDKE0 z6(G>hS7;L9%&=s~V`vh=WQvNV{SPKE+JTO$772qDl?J}*oDMQg^_4%}Z~kwuF^G5@ zQ1(SoZ(oR2obhg@*Z_tNIGfX=CAiiy80#Iu%mY0p9((oJ>81KFqp1XDK?fzvhxX*Y zVDf`O;+*KUXaDP|ZB&NzD)F+f0r+FC2puIH6XeB|zc4^gl5&D+k(1*}P^!zy`son$ z+_K28JEqQdH5Kq@#CM{+{(8+;6b!a69%n3R#H%1CAZO?U=6=saiRTCVe8(WKYkv`o z5by8Ex$YX@Dq&F_D9p-ju<-r%K7R(udY@7w-WtzvjJR&-TiXqeZfI3inJiJ^GT(Oo zt+2qEUaia51ktQ(7QxWVg#;za13gi4^ig66+_^`BxxuuC8OK3`2j>O{%=l@t`@=?* z-0-Mouq34_loX@AQW%u65-se5pUVmRo?r5OR4oRJ%#zCL88^jW{xo4eBxU!wdns-N z9GD#5?F&}lqG6SOq7j^={6$bgiWa}<>L7)dCY_Ub4Ox;P%)0|U0{5TGHj#ZQx`IC@ zX1x~(2f@-*((YKA#Vn;9fDs!r)#gPqhfTZ0-5%0TI_Br{hi5;k-L(~_@d6A}0v+7@ z@Tp0%)JsjpNu>vHIpu;m6H=n?Tp*qG2gFn$5wC;(Ar3@NuwytmXT4^05z>tPGiJS6J&(-lfHUL*MWi+->A?XFS*htgVy)ZK2~tnQV-t?t$iy6~S$ zeW#D^J2fr}ndFcIIY^Dt&^7~p7Ui(Tf`ygQ)lKLWe@5oPg2uRMf?Q;w(ElO%?nz4f zs&l82_JH7Hw>Xx`0}c>_l^4Bc-T;(NZ@b@Q*~AUWUH0uf2w`V(u}p?GlR>kXJ81yf z!FKoEkVZo@V#OT|;w}W`EmRJH+#Q$<1`L{tPE_E`6YFKCwx%=v1gZ$+i-U~!@lA$J zraPl|w~wXWC|Zp62Wh=I{~7wL+AGSn$u+w6FnH%B*R@aAZVNV|giJ+D(se|v ziM?mxBRQBLHV{$1&LmNZ$<;WVwveC~Y&Y>yi*?;{gxiL6Hw>J3o_;z>S!vOHSoWm%I&Ov3!-Tvik zN>{Aw$x^rA27yDpj(pW2is&u`Y$QV7?76XuH}CA6yW>KQ-AH}7>fAKM+&lj)tA^Lb z%dBS|R7WE|28b%!)ljB&=o_=w4T};|hufFN~0@dFscDC-X(w#y@2M?jI4;U!EBebfTqcWVSYn@cb zAg{So97=Clqsrwoi+j(TXX7)1CPonwpbV?~`XDvR*wWJfXvVXL8Fi?8$=?egep2pn zekSfWNziDnpEV%AnP}^NVWz%AKM0N`ZXfdi_)8!prnG^GlDgf_>drP$-N3zdABGN~ zE}sag92^F|qX|09F_V>Rjpm)wj3vYwI6KBL zWY@TvEO(vPm1MlDeQAi}b9Kn+HiFb?@l*Z?V?+RA=iSgX9wrCth%iAtMB8!cIF$U)-+aA~Nh!j8}S5IH!spNQ^(3k_V zV?P=e)(zilGV8BN#4W(WZ#JvzdAfUY3hm=#rK$G}9f7>UGA~xdiMve?w zIv_6v7o?GOmeo8F$Pj=9CU%`soB~+)V~Oz#so`dIj~gTyAxlCVXO#Y;QtE1J6(@_i zP2ZnhbM7p`jNc%P6=`dPEJ*gP-PbNH-1&aUu)}-0f%?hsJ;d(a&0l+`i!HmCgRq{i z&dE6Z>L>DeB(qO7bs8#dDeIp#fnupmf6g~ZmXi|4Y-7_Kwqb zdxGDq9%G#H$PhUn6q0LVXHS=lZQXxC3|GpDo7bS^4rH~Q#i_?44?oWrVxVN>1JTAC zyVj1c`tbbz5cB7CdPNu3PE8YReI5xNd%xbFhf(Y!qs3wlEgoH4#{d;E>*iS{y5rNE z=hLm@d0n;dJ*HGQ%x;N)^sPco$3Lx>_W|+XGf2QkUkauV$3ZbwTas`(-|s_sqXA`br3y68>Y-Uj z@xK^Rk~2>qb{e@O;l&}Ty)(km!Awl~1Nw?g(!QenwzgZ^=fxNLmom9H5|7Oc{LjYs zd(!Ea2?MRbdo+f&Zk)>Bdl$e+8`k7=iUrH2Q&`g^lpwaS!Twc|5U4!ae-kV@;n$oo zIi+n|-FSaCv#y5FQN~>qcemHaQf!oBbqFeE{<2K)Lx`K7Nb%e5&bw?I9_kSU8<#E{zBVnAV4f^cs%H_l@B!b7nz%c#Mz+Jgulz zw;Izo?t7QVjv~>%`Wdg(DU5ByP8azaToJ4lCdq@M{-|u%yi|&akHTEVjf)M=7?jsu zSVFE&>T&3)Av_hk^4@+_))1U`hNzk_zY2U#X&iP%AG2Rf>O6(rr_%lUCY(ub;B9Bw zwpn_bTQzQd?~lD52-Lb(3(}Bx+biLIIgjcKj)z!VoLYEb!@>Twqj7UuX|Zu(?Of;= z3@ZEkv&{C)eJh@i{1=w4G0s%SZ!8aF)pag0^57%MtX|FTnCXx%4W^>*1E~I z{QK@-N*rEk&ZW+6C;n(AL9t2MyyJK~ zD@y1;)Ml;s_G6Mu^IvKq=On+oaGR-Ph$h%qfhw8L-JqzjGqW<9jzc0YEsuu5#D|Uf z<<_jLQ;~esPC-b{6&^6uvgevhEU?# z!?9e9$TDey#E%~@N`NVSujl7s7$%m0G49HTzs5PIp4>JTeY2+1B5@u`A^5#b?jDy-;KJSBeIv?A!IN^u~!LPIUi ziI6btlP$1cnic4E{Gf4eJzJ7#bdJWR2(|Vm>8x`{=}PZebeNSV`u!7EkU&nDddOK* zT#8g62710IQDX+`YMoZux_(OkW%M_=hX|0Tw9x~4JF{8Wer#0QuC4M@@G>@D@shFC zO$dA38xR}<2t3gaxAf93zL=TKc3Lw95J)Agj6r(#W|pI z9K+OJf*$-4HzVWE4nXw@H#{Re)VT2!5;!K)L^uhIP>x}Be(>u#!xcj@qo=DAT(E&2 zyzetscmHV1vwFcFPJo{n=9On*Su@ILi)@tPNwi>NZRQYbs|q+HC<(4t6>qW%Ut*v* z%^X}EMy>`Y-QXj)Gqu`y|LOO#n;v3vRex;I)jrgFtc@9Ylxt^A*j7gvI#Wr`YZztQ zU3rCJ;3EELX(?F*+9)S?_}S^5(5Gnq3JI3A6SMOZM7xb}S!a#5xx}G`Xp9B@s#7zx zqiI`3&NFm!YlUAk``WUx-ut-+FH@v&{>+_7*H=VT#kVG~#w0ZwJgD_Nsp74`uT7GX zyCnxwhKwRIvJIBWEIO}<#GgdUQ?QVVfzNckqeryW0_bZD!2Zpy7Q%X?rTSJas0Axe z6@fO|b|+PNYqU2fHi1mLhC`sQOBWGY_syi)7WzGuP-8N1`IO+vMj-vvKA9PK;h&q$ zZB9iVb23F0u!*W^a0-AqNKyKPef^O`>;45yc#l4AF%;hNqQfcNwvno}Bl!00H0K<& zKO6n@qRZ)@r*KqS=pR{Hk~(`+eH2Cu!H%eqGq{cj??t4%0=Vp>623!n0C4Sxb2)JL zQoCG;+Z{m)mHio~7=S_SwEblj78omR>Y>s05_lRDdeYwh0h7v#3?UUK?S%cR%A7>} zc*^`RYuyoch`RQK-$a{cZnVV{wb{c{eF~#_F0|!ABrry_8Ub=+YNX+^K4gwn${OVT z)5tiHA|)SDOTQRKNr+0jKCARCd|DPFGTAPW1;tjunsL9C314H%lkqD;gV2NRswggl z7gX9Fn^%H2z1MA@Cx`XN6E7DWu5H?Mo1qk3x=iQ`NeMv!X!_jDatsFym>US}1kMz6 z;EB@Wfi>MD#5I~ z9$oST3BE@-#d@90nRs;q13ZSNRR6iT;J=fRRnC%yh`fAHw1EdhxTLnPOPPjwfNw!C z>KXD@Mz#9d@PrAPp-Hn!dddNVV&Fm(Urs`#;6G-(?L{XAIr_vbgE@H|2HFqSE#ho8 zR0K*63#`!%qH_k}yyNm;;RG#w{yws}nR6x6;{vC73e4SyK^8vzzr{=vnRu>zOwM0J zB(QSCEE!`+R*q#+&kzPX3RRIy6DE$X!BE5Kez zS77_h;Kyvq1~c@6M#C`U$%=|w{tQUr=l~o-Kb=6h`__%&G-Ji#1LJAPHttilp7t3Eza5yTx?zZv@* z`}~wcze6dM0w`Zz+fZYMiGJb0C~{VgmgBqcJaPEv$H#*{dPo4&Awow?DaOe&t2un` zn@9R96Ikdn6w;;014DZl0qO_TP=Q!xLa}f^+jv*eq(zsygx}t+3jHHj{ zE_3anQ;x#ucW%xR`#uh2%)e6JlG|S{fAl3ExBsA^Wz|e5shUUCg*fxf5-@`_2#bc3 zJ~u<*!fme!i!$&*R)o1@j-3g%;vK(Eai{6p)?I}~)qn)O?N#KvCB=kZ9k^Cb3ytI( zm-RS4^CD#jUDnFB7Dhg++xG9r`i7#!l{+e^k}fK1_Mhf2)E!xrU=uX0F|y-3o^D)0sL^B4;mGM3>d&8g)@S6dbgk#?wHJ9XllwG6Z=f+2uF=g|Muo(+@JyAMq>d(y<&Zy^E9>c5g#vo zFnE{Oa@mRGoHW1h^a}#?)P&6T8GplP^?s{uR#mA4G9FMl#zSIro#IL6lxD^S8WpaDD1qTMeujfZ0GAUJ8KYJ(VbtSc|Icz2iN zKHZ0wW&%`~6@e<89SPX0-c#2?3`t)vce9b>@@lWoD{*I`PZpxq0^T+XCbS~QHfO&Z4jj~Av6J3AK*#Z5GW}v_Ps7S!5$=WNMp+_^t!`iij zaUDRYi|3#*2UCywz4|HXb7pzEs?AR=8pI2ZpM@lPTuBAc%hCtU;NQyWw^jSi836Du zd_dtuJxAVd^@9@^ed4baapq{U`#^TNP?vym%V#-gu54i>t-11%NK1WT<&5%jg-$H4 zuk;6}f;N<$YFJtA=pM&?z9Df(Wp1}sr^B$KvMr@ppWS6v5bqP9G5ClY9g@LOX;nRB zG=`sYI8_~-Ltc22&#{l9+ni{=YTM=dQSLI_`hZ!>aL;Qnc!Ugb;cic+F76ad(-&_J ze{CQuBg{DtH-vW5bPv90DnD=^SM^U!FF(7_tuWFTP=HKZcAtMb`dVMX=aBpj!i+K| zZ}c}YgL!Z19II_*qaEenSCi$HA&CdPttGqjDHtAOw27&d3+|M!8iGp$xY>m5Hngf+ zRgiLAf)1qZ7=Nu4Qzkvb3psb?7bO!Terb>pKV_Yb4eRT$!@>VnTL3PsxAEm~Q^POC z#=725m$4B)o+)2uOp2sYA4wM{Ay%GHmIkr!skxF6m{}DnX!Cn^bUZ{>{&NKLUzzX= z?*Il`N0tT@h9{VR`%8t4M+@qL=F?z=(1T4JEHtHYJTmf+CU*Ehv{XpgrDDO2cR?{b zl?NOrM_u)0zq*n$DT1w9Zb}^=blFTk&W5J*#{k=FpdT+pkiS-F7l3^-xv$&#n<_6& ztlhuf{Ogah;zt45_`TVkLhk4l6WC&~K(xwDT`WE$3?meeY$5vUi);y(FIB-_5i8QY z;i>&^KO2W?Y zf2xwOvatOB5u+U*jku%HjN3<=V4jMGCAcen^o#Y;TGY4$eFLHlXpATh*m`nTb|Xpa zq(rk(`p>mToe^OG{>~CJ!Ewn*ZC7tqZxtYCXJ&E3jb8En`*bF1uaC)7l`Le*_T|(y zwPP6F^wcNS+{n!CzdGtUox`N6E18P-s~u0B*4w(D`_s8Tzm&ND8pY67XKPQ=I(s_m zYHMvO&#pX`>gt^N_G%ggW~REjT03dl{!YPP#`FLRwz)J>t5v;jx9=+Rmrl}N zS_T#6UC?03p#h}L*>*-|6$YMuSTiX=2+m;*u8>+1IM6{7nCR8cQQZr;~D{Gm>}GxeY1PcP~eVvMa!=3Xly)_+Ct9kyu^cpZMaC!y>JvH<&_N#jW zp|9TZb!*d63!Sn4qPnSTm+4At#7I}r`d?96o%^gQw?4ksOEBp8R7%coizd7JoPTz- z!w~2-n{>u$tIcY|jRN8kZSB@%=lz}mQ*bLg)E{lBt@-h(ox;oZ5@ltZ6&viL`ON%H zB5!tdA3Lk!rI@D;wy!QrF6rT&rie6|Lce+M4($CvZHe>@ql~e2_^!7kEELyaG!FS9HuBls=(_7lKuam8#QP z>#LjZPF?$|ewkt7^+0>R=<+i}P_Q;88$`=|6)ToIXgEk~m$~PtQt)*cNd_T@e$z&2 zcCoS$Sz7-WoQpBiMFM-B+YTvzTX;c@eFT99-JtMhUBi-;+HM=W1``uhJcaOEk>Z?R?H-RSk znMb*c-nx@m^)Fc}E&tq!fPs@CC82n^v?&vjZjmx~T27e8-7Y5j{bQ*%NV@1tbb3sI zx0|&z2;4yLXpQ3p|1J5lQ$^Mf6v8o31(nCwu9R-Id~c@b?t@B#2V=}OXr*j7r>a9jx!bAjw*ax^9dWW~UVGGzmu9pDP+(3yC&Z8ws2@B#c)s!{peVsP-gfzWlxJaU

{S;DEn> zIPV@At`9Wm8Vxx?Mq3y;r5rzeLav)WpVwZ$ZvEKZo(qLnCnMiqmrLVU^2~n~H<5t{ zAcN|@BDV0Rd+7GQ(@m+3L}L=H8(9?CK#iF%eu1&ZJva^!kj)bZ!(16M6IqcI5UeK7 z_P&2rLeV;^Rke}w>Fm$3%ttpwDy%0x;oOa;!(HKx&|ysw`hR0ZAeBP~A_C1AYc8Mv z2@Z2dGTuZ}DQs@!Ue}|UWTY{NN=w<2t#g3oGHD!ULkoB~L9y%;?pFY5lMPL@gQN{5 z=pb-8^50zz1qi0ietH%YA#~!@f$%}zf}J%H(7NZ-1M&3 zpQ8u`)*{nH=M6>#PNCG;O`@Gp#)6$gNS!EEONze0^iZ=A$O6s@opbTOl&;mEAk+&5 z74*nPQqDBqjH4!Il1jj;lOw{1kW|`2T!b<1Z#^h7+L9KoZHM-RzE*@P6f3wBHGZ&C z@n?iM2jQUvpcfFPW`GQ!?;abEkptZ3`5HoaJN44cZ%vEX#*XC@y*|+{hMwM3;G#L> z^8(P_Gd}nQ*Sn|`WfC{NSuPvUbpeDrj2a}(9``p{nEZVL$nmqwGG;`1KqMNb`Z2z( z>V0pY{EHhX06|zunS{Ar#ii%z^7+-hm=wByZbCaWYgxSIvl2zXPR z<0?Up25?2YVPBg z$<>;vt(nS3ToEeB+6Z?mQ>f;5WeGe7nkIUq=KwXy)9dL$n6MoV{I`X;tc#Bu(UZCjsZw>KRh16Aj>e+G{wty0C!LI>xkj@W&q!!>_}Fe~HN$Pyws*@yhQ?p1 zl5afO$hdiVc4xD4*n&>+%mnErRlYP-hIxsSbzJ^WH?oI%IVHn1X&sB*-#^SlAXheqZ>CVelgPgV+E3P(1 zV>b95jFW9-p&$_uCumL{cL<+c72%HgdmNC{G$!NxGtSe9?=tX*H)0!4)^NX=wG5p) zB|xxddpeLdk=jdYKft_sHyg=)GUz^MK%QE|zYIKA5M)6qV2r!jODx;btUo>p@^CN4 z`-}78J}=Pw8vAjQXye?Bm@uXo3TK+&TSUPk&*=8wupl^Bd5q#&@c#RkPiCP{G~2b) z{OB2xrVLD`u&TBYE=Dl0M%|eCkU6NP#LI>GP+mTKGnW87HnKR0Z~OLuhGnTQM`Sjx zyvQm!XYqkm!~u$Y5_~6ERqNrt7%{@`G^K=?T)n? zqe-ygE&cJe7ix@47I4XjnkM4%vQYSNBWq1IZX((8qp`0mvYBAL(-dI| zAgsGjV=IPhJL06i`iQ#2IX%JNgpcf&Rj=tNs?&;)7~>t(@+dmgcn3zLc!C?XznU&v zug+X41(w)_|C=Y07`tYUH#<6OU`A~b39pRt-IP!JWx~QEN0%JI+5JaeFBVF!_GH) zXsj#Ye`0*_&I?o^Z?;@-jfSRzcpz22kGW9+hh$zPW(d*kzWw1U@4Y0Yu>iwM5Vgf| zN=HPg>Tf7tese+ntwi3Pj_p!?e^xFo4 zMtQ%w1y#a807KKcW-lC%xAHX&w%#P_o6T^mcRUywAy3Y+f6fz#P})ti%O@i)=z=@dXBA6Mq(!gk;5< z`7{>G?KTEu9kAQIG+?k?D+SA*D!f-M5e7tLrK~X3r z-{uJ(dBs=M8?i)^GQ?Y%NQ0sXui;CuG9e9f(iiDHz+>tMa_hLMi@-0z+q)t}HqYZb z`HSVkTNpo#7<(j4$l35q@W4{rJgI2FLW(&sMEW60>-|^D@o9Yt4 zCzD(greOeu;rpbdEeT{o6dgvB&?Son2@u*o*ot~rf=SMW9OW8c@`h%5c0N~IBQ2Un zO40d?wf_PksX_Q?Uj|Bw3UKGGbqWPoGfN$LdCQ-0KaghyWJe=U%7Acjag|)In^jH? zHOKkFOd+rIL>^g|pc#^}m=HF9|3Y!YPuy9=o2SFYt+AIw#fozEe88e`nvE-sSx8`9 zC79BNVW)dgvG_mC&kXon1*DB?p|-UkvnzS?Vtq zrYVysW@Sy0@kpA{{6Ryx7e_v@8yg|Mk~9q!2i z+<|}mhtsu_#rjU;Qp!8l$O@2@kxfH*K zB*0J@(}z4M9tH{ zk3k6nn|ie)xY1b}p8yBLsrSF=G8fXFeE-@Q>nRoFw~9s>8-qL=dMgXP_}d=L(W~4H zsl?n7YI-EElG&1AA$5`~r&Tgy2C;h7_Q^oH!v|e$2>ZM%29&S9kE|tn22(yW6jrho z942JRzk0OIqVYtAbW_$jUcdvFdYRFBxh;y2CFQ!T;KDM8sx!?3Rs8tM!9sD5#%OiQ z@GT#3411plOy-r^DRx&1ZEcJ*m@&Rsj8(i(Sg4tJD=NbRjxAD%jRsaaO8-t7=x-&Z zXohWG4a*lH*HT|64x0sB)TJGOkY-}Zg6Ij?xQ)L=j7XaL!CY*Zq}dtkjE#;PsZX%d zgckH*$n;X-Aw!5(567y=XnXG03h$}re1o(L zf3K!3D9ABJVeKJycWFJ;&Fd~x%CIMD`%<;zNkw$q2<9X!GH_?PT|4G*3_nfMl)y_` z#Sgpo-{9K;jG;TB*bMY_Wn4g|Hj)5)|KQ)zi4^9yGSAogL;Wws(?m!(Wx5W#w|qst zmS1P zdr^aXYx+O2b*}5o1`gf$)GSXhMBASYL&tkR-87JKZ3^EATa~cXdIfU{q;e+t&(V*M zh6S4q8w4@Da@WhG*YP>rU>QL=D3a?*3&Ic@{=CmI8Ut>-Ba=yg&D^ z0}-<_vJFDaC}enm4SB!~i3?s5q*=XV#S{Du;T3|gjf2b00K76@=Y}6pb$bo-%1xf6 zMWw$Rb{orhdd5FG1QN-n_r@FFJX}#xH32vE5j$lXft>sndNCJSag@E+?EOIAZK1`^ zIVIg;F-5{^3}>4me}i#+8tMDyayu$ij(z%FkAqzqm* zaGYv6ShT~2u{)-^R|U$%cb_jwFziTac!;2G;rA*^4zX<45ZY?cTFOEfU$$PB9qg$+ z@6@I+2`8o7lQQ6!;T`rZaC@+UqZ>XIYRJf`3O|@oKZZuBIj-m}4T&llNj_L#0FU26 zXpc8x?`Yw8y$$u0{G8CiVvy->BsTtKt--r4KY$*R{o3A(B3^2qn&+SHO&grK8Eum> zRFbjF$p61Md(WsQyC_W5N)ZterARMQ1O!ByG*PMwh#+0MQ~?300fHb!T0oH^RY8y@ zy%RzQsYXJh3flsom@1Z-q< zvml9+^(Of6-$HqeV-kAKvVs1k`$6h_hST$_^r0W$%Lk{%He29*`^$c z{p)>O0kGDuu;0y+%3zD(M%N4I0oa*<&{>)P^-=6y!plYfkN(OLn7;(vJy0w*y!GSOKz%tt>?o0wz{6Fk%$Hu8tEdNU=KHKPYSc9i z;I$xAeIk#-+PJ+WMW55!37_Gnrd560Ji&QK=f~&mT2bY5XA;gUJ!0fP zLwyeM{Bd^QRh!0Z#ZND7I$m%YbGx)@vA|l2te|j&IFQxrw@VucCvZJ&sCba1pBZz1 zwY@pdGL~_@CyP8qf2qyFWzHnlcM3(Z<1)qF$DJ#m!?Z$1uWLX>g%sTO@4jWZ<}bgR zXeeko&&ropK-nGgOmK1DxK!+6zTu@m7RlW2&z+M$!}K61jef=dy>$Gh|NHB=^i%05 zRK8yLD)t~nFZU6SU+s*_1zy^7IO`veR=)@zS-UAHlg-3cTQ_KCt0z1b^8PGcU-st} zDmptNIaui7T?fw@+787p&zUsSWWMX^@ax>ZAIAUrONk!sJB{yFKZ@6^IhUR-&r-hs z_M5VzH)nK^Gztzjc?70=z%F?D^eC04Z%cC1kv#|Ncg6 zKBsEEzC~oi()pVnN%SB8xC@1CsKkzkoF9EJla9J*c{?@}%J%dDX5~G@>+jb@4x09Z zx%-%&zNll_W7tXaS1IRwrR8;|$47;0N!Kh{982}acbuZ+)L(09l^^d-P_=z{)r#H;7QNzNf4fAe zsD7_f^b^BeMFLq(Vr;k|mkimxe9GEK!Y01mjXV_`p{&oWHLt1-s^zoQ(Cm7v{?%hi zW64W{gqxr9xc0=-(tgDD*||^Udbe5bPc&qm@w^%yFV6jf>{jKkTXzdz^N4a6zaPl4 z6zVD8zQ-9D?4-2Maz(}An}FJO?T=#Vzx_}=*euhy@?wDwEk)@A9)aC>bqcGqdem)m zSKmW3!0;Kl%`paxwsLw{onbS_n&MA`{*K^LtSyK=gT-r|-vc_^VN$a_FzPpcy!f!r z&o@YWbIk_~VqHjn)+QE|`*puv9qoDjY$D|PL@M_LW#4;R+WY|q9b4%e)REkUW-BHI z_Ftu*F^;SB_dYZaN=zP3^0PJX)jp$W{ZL2PoNUEo;|^TVtDtJa(BWL7{h5Vmrpoj$ z@6xzG){D_jj-ld|FtZ|x#vnOH-_hpYA*H`Kv2(<8Bd)pMUz*HHOgNW33 zqig4BKmYb_ZTan;h-KW3x7wQV6TwpVHZPQ2L-j-f_S_w@;evZF&rMAzkYBcDz`mi?x7n?Y#VjI+ zcqD4~G8XW;qQX{wg%20^G(G3ciWhl4YM{CA%b)AyMNI79DREc)HwbsS@ zps`_kbBuPo`pJliJ!R3a=KGHmZ+AH!Mp)B7AC+oYesR9=LJx?-I}v*$P-?zG>X_qS z4DTf*4Mfm?wP9;CmDS&+8ZKnet9j5AAbrpK$-N6t$iwCkf2ozU7|;0_N3^A@oxISX z&H0zO>djF5?=Ho8f!{-R)q93tekS}Y4%Rfhh`cE<@$JHu>@H58f8>o#Y~7+}-J0RE zmwE5KCX)_{Pl4z3Q13;;*4`U@r=;rqL`i<@9F>635A^bpLmSzpZq4e94jq9~6Uk}& z$6ATfz2R=AsY8CjqxQn)0m^cWdF|)8b1mvt?>tcZ@Rz~qMex9$0xj7kN)_L%W@KpU z`VQmKjaPT2I4^3?TnKc<9R{}k661#Wy?u2bf@eH(ki5mx9G%Y^b}M-`FVyHv3f)V{ z+lS|EMUo?>g%)3Dx-g^gF586>uWhC;pWPNZE7Cb}@opInDmc$}|3$6Kw+GAyk1gE0 zw}qC~n)m#^i?Q$eeYeZH9l`dKMpRL!C`D;3Z{&#%^89U8GPU)=zz1jEDImWzP+Z>; z`Dd(piMBQT<4V`c39rB6jHJ%W8>+YKypf(3T?enu_GaaaHP`up8#-LIk<-2W2P1c- zYngr6O<$v=@RuQ$e|S0r8qLDOrBadDW!{PMZwmCcayPo7ixuFUh)?kukyFN2cwtkr zBY`#630yUu)0KYr;p4w4$R;|Wx{Iac-hJg9FOb>&4OYon0dRvi@2=i5)mDufpd5L~ z7|8Xwl!q$l-aDEXiH`>QW#-7k1fRCkxV#JF57{#rqT&eHPl6zXG5tsRMz{#y55*!3 z;MvX1O9hv{@c+3W&7-|-(eYhMV_ZV5OeXWjTg}H$J?SwMIWU)=lgmTR8OiO(kUy6& zQSYfsO$Nm9pYHH_o1c6aRaZ(L8GYaw47DgV(D0I?ExBM?e~<0SqW^;+NW(G>9jp4g z?{SM?>u8c)d!M%aO=EuLAA;d5Z>0Sw*{UUzto^uv*LT&zUil3D-8blJg}Z8$`qR3O zS!Fk~%D-rQBfE+Tni+h4UR;-Y>8XV1En$kvM}mJf@|xCu)@A;^u5FQQUF2K~+xN19 zr>B@RL!an53P zP;&-v|G0B6W0{JKgx-P?s6+lu8gGH3T1Ruu<7tG0=S3R4>0z78=qCnfVGi#l%F*1T zqke?wPXA)X3QBh1=;HEqZx<%Wb>Q29S%H7ib!K!va!PSnhtl?^qZ3 zs~=Ob_F#p=$&-CC`n_{Mu+4LCIzsLD8MvYE+nJ3dc;5GT3QZW`gLa~+Ca_x^BR#0p zfEgMJtY&w7t6jI_)ODYOC9k@=D+US`l%FvVfmT_Iq(3nBx=T9c`rUl}3sP`}BQLXmn6ifrrIO~~KC9#&)*;F&` zZS+s2k*%}zISt!$G3!WMx{(~_^-F4%P>@gizHwNq#AP>-d2V=*LHE0&8aA@^X z-#pWHyVjyo1U>^AVOF}iTCZwzQ zOn7O5qO&wj%G;<%CURuIizO~6eRkhJi(!3@(4M*`sBe53B2euo9D4Y6CYbr^J8Rud zRk4XYyS!LGw#>nVyK+w$fZy4sB7ac|k3A2{;q`ca>nFtpbCzk9mlWrxs3&>#G4`n! zfg2gCV{i(MGGh!%tf(3{%zOhP{6fl4>H0f~HqElnWy7~aAYvOfFNgO*b9r8{H&H=r z{%WJ!MdzrcXxnxrVn=nu>I`P}r-z+ubb2`R`=&W{cIJr9Krti7#{Ilo! zbbG9od_S&vfb1!LJvH{bGwSGImUE+fl(7(2*KCfNDf0GxRc(DU#2OUc7L_&B$0T=k z1>ArMYc_1`%^95=QglQ_Nd@9Ey}unT(l1OK1biYJR4hct*h%nCcdFXe)_S~`z5EiV zPGwh{bMf0CXZ7HFJ|v3}c?PRW_e5e8s!CxQJXRrrE~L zKaunmh!ecluF#c-{2)3)Y2ZpzgSw>Vv!!;WNa}s~g4nHDHC`BbfujOSh$c=$c)@Z7 zZIhaLuBNET3@%aI&?>wi8G&hPv8J{(_K~$HqZ#~tt$r01e8xkP-dE?FX|Cs7=7D(O zJ|a4Xl`&47y;dJGi9ofgYYlc!y`TbKHjE{Cg`tMLx? z3*it(ZB3f@aI-mWhV}eESfAER@gqBysctn9?P#-WnlJ7iHHooy$41zTQK7#V4+I(v zgLnnD(}WJ_sBPGiHMB6C5!G+mkAP3+-XZY%#DrTTTQ++}hgTl$2Db^#R8$-M-g%f9 zPA_XYJAd!vaKEFM!8<| z9AegocT89Ee-CB2s_;>1Fa8WRYRu?KrMo@I`QANC_o)?U3hco$Hu2eSHUnQ~J@|mG z@7T{D+k8Kx?9zO|o&UbpQah3#_bD(?-^-;p0g$+W7CR z(UWA+$)JsPpKpmfzd6buSHcpz=j55x=)OtIMN2446mgPSlkeR+i4c*Qt&CFM<#n0u zSeOR+?`D3#)yi}0HQZ8C-fmY5YRdyIE|$$|VCn4UkE8Xf^n3Kdpyt;awKOHwTQXCD ziX-Liu=Ds&=))+PA=$j+|Q0s3cMu|H%aE!zKoAuJ*?CG02%O z*fxYUH^01pkYmV6DQ&5>R8i=>c&_*1p?R4?-VZ%JO+(XNS`Ak+8bRun>-Q%e_$Yhs zUvAfwGnC9nTnAU}Z)DbFgugrHXgBv)UdY_0I5rV$o5!Q|^b}Xy&$pWhRsHfer(3w@ zvVN~DSv-G_esCux)Be}$k{=pB{1JS_nP@7&b>^Z_=Vh*+ade*zyGw(j-r&ROlH=@H zY7Xjt-$Fhq2|I)hxToC_aMs$o!VE!f)%|LvZGuU z7hcHIRSVR*VYL)}xZZ9ac<;nrD<=tQGe5S*O-g$(CZKE3~WKj?SFlOBKH5hz4-t9LK)F}91_64|BDM{ zq$DN8r2e-z%IKN<0$0Si-~Io*OGXNKC(!@@yJV!qNjK5_@9&b45-0q^@Bij5nH*^U zPvPF!^l?S)vM>7CiFdhnY6M#(Ihx5f>VufWZr(9+ygqQ9!=SAM#Y0{<#?kfJ?Sh0} z>!deI#>4gkOeByodV3$$)H$vQ#w979?8A;x_+8lH5ei}MjjKZT}$Km+nE_77@ z>-5Qq_X!w32tGd21|PecZv4oIhk+Vr*9)RWdl9wuqgA zt!$qRj*n-W;}6tupD?b`n34gE#!pm07lI$Wb6CHLLLL}n4+Gdw7<$vU{w6fngb@3i-i^6HJZR z$$=CY>#PwlJN6NO1peas36E5SvhP97%~9c|gX4;G_%?Rr^l?*WiCuu};5b6T9N&iD zFKIeK15`l3Sd`N*G%3Vh2}Y&LEVlb))&o#H!*d#syhsCxxfV#Ai_>V!c+^Wp=61H4a@^ z#U_|_jmQMziXW8SyRqcoVU&3(40hsc-ikee$TrQL9G?3S??5ZMiNqchy4oY4T=R+grK$qC;S&3jyoV=@b;4{*pJRQJopDg=w=!7%TlWM4wts{XY0CM^2mcS|$3 z7!+|avzT}AK(};g8%`?v$4OyG75Mqm)LsE^h^vaNubr|udomYIx3S zPzDLc=V8nngAGx9LW`vVtvLBu3{0EG7uUWMb3!RHh-p)_Og*98cils!iNFys`ztrM zDSN>KCxQFx?HD?<%abs}<|%|PZ=mgQq(k+z`Nu~50yp?k=7&tC!BXs-p1{p5J0EUz zARb!@KFCwh^|fsbZ@WLKP=a!s2V-5G-TVcoDsphZZvHTvU6|igx zk4C45!@|)CM`j1mdHKc*WqAtR_0zg*pm|J~d706pX?182#j&v^+_CU8LSkXZ*$`O}>0KZ6*= z;t#!hQkSJ5Qk3kMF)eC=#F!d&+vqy#?AM3sN4AIkSiVO2PQymuWAKtUn(ZE9{#V_h z)W&2X;%v(fA^@Nlk?-8*9A52{wvr0|4TPwsu1N>C9yYbMG2C^*-&ifD&FmLe@^)Z$ zX|UO!ez74SRa)O9;LPkI+Za9`h0=wcuWkc*V$-K2XS{r9hOJS!PoN8hhu)6UZ>GO$ zZ=!oPyxFyq(Xv&}waAZX)gcU1tKU9JD}2So*$|~ilM|4a0<3GO>(ltKN=*mZ%8vO@ zWBuk`YVZVtxVP4(_O+U43H244506@{W~wYMUOBW*EAv-b+)|i?Csg05Q83=^J3!2& zA~hY>-Pf}vTvPu|-|kf|`RV%DB*}!m*mrekf@NMPPApQ zojNqOJf>zUgzuY9GE&&dt@Nzhr)3x(18-<5!0G=3l(??8;*<+?TO^l-}ds#kdfx zc0H)!c$T|-sv+@2=SX{i9?^xFU=}l3B3bW+_vX!wvyM5TjIrbxc0lBHTL(6ANTUFf zeFprSy|jBPaQ~m1+oHFX^S?pZuwpGfOVM;i#k^y`+Mei?$)Y%Me+$`L$?iKo1*n%A zvE>S07nY|Q#!gyrjE8wc&BabM@}(1g?j)o-*)YjuB?r>z zL`+AY8vj<_BpNy0uvsPzXRsB#Z)0Zii(Shj`T-D*tyBKD;=D@Nc3|tYZxXl_8@XZL zNE4;NFCPu!F!q=TE(utD_;!432r#_*2m0F5d$x&lFaA_UW`nWJo0Efb-2DKKqgBK|%bD{YJm`}bQE=<1 zeSR0=f0p0Lzp2eLnXz!)F?MpGS!7EVG-fcSLw&7EB&C3WbF0i^+iR;T!`)~qwHZ<2 z?0GdEJDA_bg}W9LZIdN(ufgO2JKIvB)IE^OM6}Lkn|*&jS>Kr7-_hc#N{BoAz@IE! z4CbZvs}dk4NsXQz!@h`!8Z(|!tD^ztwz(~M=L($`U*Dn!F0}ZAB3_GqSs|@3YE>Ch zXAS)_ZGz>;Snh@YLrtN(G8nbpK~4ny;;*_t5tXE%9DPTDUarttMFMa_5>13`wKs&x z$w?TQJrnK`Gs5`x&}>i5_z5x8uQugUIK%rCkdyGg?C&(Ix7W-3XZ+z}T+3ra3Oxag z0Xw)i>lje9rLmI+yD%UR$s$^Li%0{Q=5DF7RP8`dMCORR711k3{_kIn3 zycpeK2ysLf2P9xc8LL1LKY^9SH8?z7V-d-?0>Q{Hy>?4STcY_G8jYq+Kr(7){q~(_ zC#Tr`?UBXMwCpp`qe|yoPgk)phg13H?%I09wvCf3a+&4g-%*JC=6&0%xm7i2_t;<- z16gvZLB%-qnAw0%kQowE0e1*^~zk@pnHwq#g$iq9{*aUnP#g(I2eii9fc-& zTwkikxdF)BZ3aj=aFz$PhXFo}dBmva_8f~8n^?)qCZ`Ahm16s1LXu!vkV-<* zPD-cS0&<{Lgh-nqxSusurDQ`S+f4=2QsAY$KS^;DrjeP(SZljd651Kq)>!>eV-?Xe z$lWIlgJ)K_=Ja3PTM9KUqK?ir!oN)JFz(X6b@2`I2RmY#%~)EHm~w81wcSW9VYDXT}?7@HfWkv3?{D+|38amgDm= z@kHbohVHCWIHh-o|07n}4I0797DEw(d);gDxt}~68%w3I=$*7%Mg@KI+Du0BRbBQu zZagb;y$ZW;vI2965?8sGIcstmePt(bywR0|JJ|-TXATWXXr7{3fp>U^~BE!>t&)c8B~)gFr!C?h_WM|{uhbYmwt7!rCXqHZB4?bR zu@}fju*IIp8k5Tx?90Twh+R%AJF<6O-n2n_+$?12Jz>igku#=Xi|B6~Z{A@1(3RVM zyUTsR7w27^yjW>gNO1Rn3saPOtUts2}nEG~;yklEgWiCAP- zS(Eq%tZ(J*%X}EU)*GRT=&shaB)6(SlYmQ1!=&BiNTKgqdDKuQU^M#N95X)|3YSGs zvCGzTLrjxxU^w+ahe2@xFx+2T>&O^bsELvkBbrkn{UFg zhq9;@QYpJG)1PZbQkS9iXkwv^T}c~7T?Zw9q1DWt1G$qokFfTKY-ZU{56-NQ0ud@1 zZZ7rBUI{jKdUfX#z>Qb#*>6~-k{I(ppkh_o;WK{%vb5O@^N>*eZ_wXo{vcQV1G{L7 z#~mxhsjtpL6qm6yWo)Bco$e6yw`s?_KMm_qGHP#klcSz}?+25N zG0D+=69x6_5C;b4&%nJcOlfY3nrj{_w&E|^)OMXWgXTN%-`%4jNOWH7)8c&sCZ(Tj zuc^Wv%a~t~P(h~#>kUO>J*TFeB&JfxA~vTn`)<#7xJjwapoa~L?vN^?>sh}lc9H6_ zdiVVxqA!O5O%eGdrxy6Mir)e7Z7=_=|=ibE%^Y4_U>kOb$A@?QE-68JLM`H*Dh*8xt`Y6FfqieTZSXF(q%_lG#%yqIZ##P{*!SbQX!WM;_a~)S zbg@t%JRqx8ClSn&tbsDdHG=U1BEz7F*9~T{AR2E0Usg4W zcN@nNeOqV7?$fP`E0T)8y0Vor(WK^79VpT+pnT5q4%kDoM8R4vCkG@1KD(Yn4J(5TVrdvEezFr9D{uds_7PM9Y;y zi~AtN!l9N+w*XL_lDMp&P^%@Mnh9ON-vZnio|2tK59$%Jy~(&t$wsfy z&HOr^yYKeXUQd}``SNfTWav#9Kx_Q7_wZyn!&gay1V5>QZI?_;i@LI#*7im&@WuYa zER0g02tYAVLERmUmYLAU-|WUq6cv|-fgU_*_ilW1vqqIr1DWdl`%Y$~G8c1hwd5Dc zWU9WLkEs|pgh?e`HR{gt`v*lECM^<6Z02{BN6jeQbtN*@a?&JIuD=;nd8#AN+D|^K zI!cm$P{oViZOA7kNfZQCx0Px2?VpmEz&>04O1(1o#p7gi$+z1ce8iflkNE8@r3$(- zL<>c!qw7l_#^;TgYzP1)Fe)BA{~R+bAC=u@#x4>)Y-#K4W+NFT-fiV((cjpa@f?y* z(Q{ZP;6$}lUo%0scH?%ids0ck^s|ejFC8}o_LC#CShRW#`{RZ68D!82eos}NZEi9B zyV?EgUm4$spq}z;m+BnF-Mv>3`R{DHv-mMyzjJT`0er%IC%IcS@0M$Zku4F)@yqfpoa9n=-`ll%FfV{cQq0NtJM4WqjqL zbFr|4z&j98gxr}GJ@AQ&1@sX5P^Eq4jD~gW@F@dw0)MP%u_wal_kN*~jPHad zF(r)1%sd~n+8DRaUZPs^rsB|J?VhRHmLh$dXdk&AuA@HaUOv?+q9FpDXu^p>j*dKNj8W^nrwKw z=>O!Blv-WzRmpsPs?7TGSwZDh^-WNZ=E`m9f2bDm@HZ}Hof*VL3zdD*y5aKZ_o<y^G;vN-WN^aEreF2b5JKOXXb=IrHSd3J+ zQ^!h9P5d*dd}7^SoI2

n33Ke+q%&;i}KuZk9TeX(+ft^li~#Uzr462BsB7q%%9~ z;+@XA95yJStZ$%4>&0_6B+Vb>^d+>18+|S@=o+eJ)4}&xduCSN5BtL|?c|SJw1`3K z`1~K1Ng-eq8=u-LV^*}Cp?eXdwy|cnL_PtpR^_OOGc}|u{3Ey|Y@_-XL~D^ZL%Tl8 z0)1@8E3T^4U|0AWH1fmYPvO$5yQ_Xx0eLqXcB%o?fEZE2cX?wf1t_6FIh(8huRXfg(kh*F8#dF3}z1d(ZxA7cqc3`k`H$}-9 zMPr+g>^gS9utR@$H4;tT16lKQg%1OYJ3Swug@-rrau3JD>WU;2G$P?L$qhIWh)iOu_eL>8q=yE(wFYFiE z7zz}3{x_NI-%+5&8=tP2ir3s{s4e)%eaeejQD4}T?q4L9iEtKlZA&s;)KT+*-0L+}hGiMu9E9k7o{ zztRdf1AB+GZFOQuB+VlAnrq$2a=Kt~HE}Wqvyf%ES~2V5?GnOx6*LsPMHg*MEfBaK zc;PL3K8%V>;ToPewpP-Rnq?y_Jw9MbVxT+xK*kC7#wqKoy+WDG;C9J|ZFR_KcU)=C zxSVqrNu;3**i-@*Pw*?L3f3akTj>~YHCy)>qUayQP*Wr|v0y&g|C+q8gr$(xq-fgX zSg;`lS?8jtjmY$go7Gz+Y1tWSTr>zD(+kl}ceJLAs(3x|Fhg#%MwKBy=_uS+@h@e8jbuGJas- zB|hEasBKdIE-dqAse3&t++@|Wo~nUr+5=?~Bx*?IctM9~GD9B0fQ~<4@M5SAq4_}; zvHlgH2FNOF7%L77|jiIQ{imJ6Ij?n662r_7e zX_pP(y4mVgdi0RJLFatMsb8AwC7;-ih*|Pj!hp$pvsX|12Aw*Fj0RSfIluo|6x^{b zvT+9(L0WRJ@;}(N5N01|hY>_bDS_|orZ##|R5}NNBGr)I`bel1N++EoU{C6b>pkt| zD0ATB!%6GqD(Ra_2`8_^XU>+<1t?;KC4=7{8OSbOiTH!7wNjp<__k+9kf3#CuV!-| zU;VB)&FTHX)<)6#<`iw6E zKoZv=s^Ai6^>dtpYfr@MjAhukX2tpKTG<97``s@YqplY&fx7Norc?fFz7e#&)RQ8k zx^h~5YY}z8K+G`3&_8qJnO2KCc9_oPI$K^s+%r?y>TFl0n2AtJVp2x!0aMLbX1d!X zyl|?)DK0KmtJ6S>uQ@I|Ub#nt&nO~@e6rZ|ZIoiD3$nPSYqyKhmp=cFZY6djRQ2jU zIrifF?Ly3Pse}HSb?^_x36ZUiW zAK-~L4BclewU$&!ba0rw?J~xV{+O(^MuVnelyLhdGEnDDmJcZFl5F^rgf_&uiZ4G0 zmzuka{4yRirfd4~pM=FRamRIX5O6d}|A|uT^JNZcXYU~R4Zg`NgH1B#oLImtl-ItW z5gOwiW4|3T!oI<9&?@LTbzyeB?JY6MR>%ChON#j{6VC~M;4f$n&W-nLkEV4Tv4Glv zq9m((6T~>p3~YbLR!d=%6yJcT%?#u#?o=|y=^P7?g`}A$Q+E*Jpn-`eR;N5%>_Pel zXJ1pswFI8El#{Uf`6FtGlH^FEHQfJ3pPN9@#|E7fKJu{#_mzmanO|vpE`NZLsBMxK zkD^NX6~h7W@?=xh$hP@}!=RXs5b@XSkF)gI1scQ{R+)22&?cCN>KMXB8y6T}+&cw( zMxaZv*XK=Fbd|U|;PFmGt1xZhd%;en0#QDjef*7%$|}vnl}P3sRiApzjs4}DM24ar za6QQ>68!gxlIW!dh&J4LoJc~Djt`Bu!lP4qd^oK{F3;Ho6Wx+#2Fu5MQ?6T2^$>?7 zdg>X2fFMqi#B!*&x%H4+dmz2I`mxUOIaS|EW4q2TzQjNau0!AU(cVbeoOGpt%d)Yb z?V>$iy38G;KNt4LC^>RSUXR{A$PaRE&tK}~khscx+q?bB#_>yOaYH5^vfE+jvfqe| zB#L8*x=Woh0WWaQwoAPdWFOu|es$OGS7^B}b=$&#EdSlaGtpS{wADA~vw>E4@S2~o z%k_2D_mZlvjGN->m-Q}RRF!$2jyBoI7bB@x-%g?2qSWl-ZbndtiXmH58x~d~PSb1~ zHz#tGiat_0>7~#wB!nJ#C$!Zk_xd{B`5TXxf2P$8e5n0!D(2{(OP(a6RXb#DbG*|!|5J5QTPNjalnHj7riAT|2CjC$ zl(8kn;rwVjqyL*Jhs^3xi?mtf@0mt-a|lti)N6drA)478h9r6dUvpUPMjM0ENyF)p z6+Yvu{p?j7;}6E$nEee|eSNUwe}-O-a4FB_fXzO_SofF=lSQInj5@AwzoyyAc|W+{(f*+0Syr0VCv$Uf*8qnuNz1|-c$1xv z{gi&DN<$NqBE@@=q=sOB;L&4g`cfblD8kY-z+$9(w`}B$nd>%t2I$Cmb85fFqhzrWMqEZgd3xQ2$;sB zBi1lG`F=DjdCy_`Q&kzgA$y|VoKV^&(K|=^-&Dms8D;Na=!MY(eP;jZY`!U~r7^w! zF9WND)xb1=?iK5XQ{eT_ zlx$UO-HF2;9xpQ%EbJ^<*l-G!vkDQg#L5ywDA{x~j?7^(cJ48WoH*lvA56QOq=LQG z`EKV~c>N|0u&qlEJhOFSz^umEVQxuroPhUh|Oa;#zCMzZ%yMPH@B*J~}5 zccPJkKj>|qwE8JU_dRuC(W5HA<&iXIz`xLLej370 z;(-&-#&xMvDDTETFbB$#cLaBQtb5|bBIi}K=XI(I75d4%N-s+Q@@wXM`ov&op#CBO zM@mEGdDlw~pJE6wcskL^im!D(Lp_Ma1ej$*zw2aMS$}_N|P&nhX z$cCLc@R*oCmx$5OyFuKwROcyygaETb^eer#iKgdIg$#u#d#G*5c-Vp7C$i}ZV^%K` zUq7_^!7jOnD|BhG`ZXhf)_r6LEPc|1dab-lOVLu?ns;x^44G<>yTZ*QjI| zE@l~)8s7De#Lcc0-ytC{S`|zd7p(BS5_vJ|mYD1otH?T;8(4pt$o2Z+Q850Oc0bnw zv1HkffnVK%n=IF<=${0CQuHh@#gbC5Xl=(DiIoR46FE#~J;+Gex0;a~CE{xJGt+B% zjyaX|jr9A9=+XHbi*&oD;TQo%Cmb=mE3!N?+3%(>&l}po(3wxO z*&9Z2V}m}&X(k&yFCgW19xxC`+cjUSn4C2ow9pCz6%w}4*{S**fFX%#2#9uHf-Bw1 z_e+qca&7g)L^QUjKHs+Ae!b~E4Ju9LwB7I)*BAw2`p{v$?ED|{5iC=&v+(;2j*4C% z36QpO5oY3$Zm;$K(ghp;K#r;3W)sf1=pg^v`LCaR8KR%4obT@qTGg7ehNWs05GoI> ziTPAbE2~7p)_7<*o?M%E%*~<);GWk^imw`I)_S&_sBN&HD=?rg0 zn*WjE2O##ddUy}9R;-Zh;Bq=*HoX<@pF;>_Nz2Txthe5DSS5s{a=X#XHcF(rHI-%{NFMl#{C`H- zE#jThAPiDJ@QK@UW1IIh$S@+|YY(R4zD7rOM+KbT%MHFW*6#cvCMQ7ku9tT7_QNpW zp38kQ8K#qkJTK@f@-59u5AIthj;I&#+UmA7hOd73+0BjQxk1OE8&WyI0j}|7p!}q# z*_S);63e}UmTu9}AXr+5ol|>h0?*SYN^OmKP#JE)qetBNUy?Pccm3v#oQltjCp>;G zA(nb`Ma6{0Z8PhW-c!@3)I(g)e|FcPh`Buwh^GyNL?7rd z@^idrN0TBkdzdej9@4>E@ImrpByh2W(iAn+PdU(&o7B%IT2q2|X-Evj(W}n(6T}p-ZEf9v^UNse1p1A;VO# zpg@u+ZSme#Hce@mkS4Z$062BnMcbx9;?z=c+r_QEfH*%oE_d*aBo4*uxTTc+jn46- z7rzcGne9?hFnLXEEO8HuEY%xuV62GKf{hI{&gOmR-bXKp{-Etjko>Y-cA(y=((Gi! zOHm(Q+IH&Mj2@{VQz5P*RIUn5&v!qfkLt3+iCx*6YKH4SQJs0EPwdN!4rNKNYtH=a zX0af$pCVKGRU#YsDGxF2kX6STF1#zU?<_9~hQbfNgC&QC$HawAoE$z_*>SBXMT+Q} z{B>jEGk9Uin%f~WKH9)VpL)$1R}|l1Nxml?h)S^gSny$TL=^Qw21(ZXmMElvEdD@a zf6xq{wsppwW#)%zaiBxmU$6DamnxvWu8$nL68laZ!%^UAkyIT|?DCnAHg%BICPL#j z@15K*U+tn9;L8U-LR+WTku$5x=;Q@VvV+r{ONNs zH!%tIDESd5EEE|*oF8_ZErAxEXF!ghbF3Du9OJweW?j1FfCV0yfb;!SnOE(CPrGn9 z>N8INoGZ@_2tBY!{#bM^{?NBXB!wQXOh3+IbXfOMPtI5_wT@iU3ykM<`3vL+noJxs z*FJOdB_7mF6vZAXg|)kN=D#~#7ybQT;iE6#tl6>XJY4yJu;%d>ZY`;cDj|ZMRlr_h>V}E;1Jz`&Zy0P(yr%0BLpwg z+@`%k?4r$}2{pf4Ttg_91SJzPwFb ze){CMsxqX-Cx~l!aODqs|Grwg()h|j_0An0J78z8IPs^Ov<;c4BDJE}qiv)Qh^AY` zf!G?rD)(Z`cINgpv5W1{t!I!*03=d>vBnC!a-BAx*~kkyA|=3bd%uEV<$@8U+YBfS zm=?)jl|%E-7doaBS5@`({*{!o+BPDhgqh%&jCt@K#a&=eT2#eBEq66nX@O(W>4dtN z&0_SVk=X778yB#!aRM8scK@xxzMaXQQy|d>#4c9N=6-7*eUa zj6K`agNfN;!hAnzW_!>SDMmNu)e^VLP$_nl$7=K^A>vjE^kt)K&nj9C=o8|S{Kh?N z%3v>ifOrIeD|hy#2+G6|cXnHTD(-w+tt?(+)*T@n6RQuj#9G>)_R zjz3r=o+|3dMb4y0DIi|6TqjO1GmGKkRVMHMV)pu$cDd-CMuBITyovpR2M(#gaRrzb z4_@6$`|Ch-4E~gg*P_y~)B7(feUv_@mCEK>k7uNr$&7Xri*+P6vpA;t+hJtGmGx*9 zJDySCur=$(KHs}UYK>VMHXT8P`lUc>zT>hKVO2#8* zVmx-6XGv#{ne$Qod|Jc6az~tD12*Hd_8>*hfz1`9bw$(8tFGrI@v;;n9D&+8KsRCO8VU-s#ghC9H zNPRE%CrT>{c6h|(Z%1>w+A(vrfVL>dlA zN|ziOzBzmEbKmdJ`R%=D*34det!F(m=Q*hr2@9<7N2bYreTKP`W#=`rCfRN#!NaWf ztM$i0hH5l zw^praN*T$hL18f7eX{&-@UJe0c()PYOO+^fgMuJ{0Zq?aQrzbuuoJ zmgHKQvh3)QU`eCSI>EQ|8jnLfYRqmD|s4};$UW!yul#3%P^2sJ*Xst!~9X@o1t+HYsB8XxCOnZsf z5iK3!{4~rA&wJz%ULiHe}mEu(gWsQ(*Tmi%fjb zP>(G7eD2naT6Bm^D98@F?PZ=-tTrS@_~`uB@rp};{EyY%MGdr~JbJdQZPWbP3SV?l zp=w2BDqnM??kzx|%lt1UVg(%^&FMoqpKQwjC9tDj4iYj1i0M-{gGPGs2z5WP_|)M4 z3yEwkt9B{nNWAoKY@-wLgTpS`-Ehb5DscuL%Ko*sw$LH{!+OdbV1b7R++jpuo;YNp zLlY$SvjX;R$q^E^6{Ur8#GU=k4pd~&Kf&7J0=M%HZ@X8^3xaS6P`FSyl3`i#ZV13n z-4a=x5b~A#erY^7DzXpw2k~#gP0uAPJ8kW6JW4p`h(HyOBB9b}dqk9E6!K4#Ri7hk5w4i>>vv$V zkvXAaqAgmC3zeW$B4k%`^qh6A!9xhPJ8~I|_7D&TA5YmoC9Nx8@sLG`Jr#vkMWBbc z`gU78J$*c`hz7~VWqSM@lcNUog#a*4%#Qt}7@C3i-f|g@`zu=ibKf6sSDDKhkPr+$ zJiC#CNxXxurs%siJua8W)zF->OC1XiGmKMsM;odWDjR#A3&&B-I;NjjZga51smi6V zLGSHpX*i4mxQcm*9pVK=4v4>!nq#}ir?=Vvi!bc8h6kPhgB@Wb1`&PuSL0@d=>?b- zq#T2Qsedgpf;vDbg<8H0tFb$u`J=J4-{T4=_iM~?Qa6^K)-mp*GF(Y%Qh%xm1vBC-#gH2VByM|KoQ4c0B5=!QF;AJb0)+?gVophJ>imbm&~92| zUj0aAG2JyN)X)np8c5B5X}oQO3uEAKb(J8-Au+X&7>zZwo?%i(;;&wbB)z_#ae+N9 zPm_XRS?qbFde<1aYCCC}IWOY~wc6Jv+Cu^8yS|J4X#|I@OI~ zko-$dt>evC@ox}X1x%#_mXh@c0=ugff9(g^!8n0b-hlX(gyGRggv9V%>Hfw9HmvYr zohCz1x4;fT5CW_j}or%5q38w^OecI>q)!9x9svPQ4Qe ze!TpLl4Y&)-8Lc;Vg*lVK(Fx!~a2gnrdq!9_wi6EJfvhIgT4 zMr21!uNi*xeI>A1%S*3qM{Wj@1mUzHx;KqiLQB(N2g)2jq-_Zf8kU zS*~;lwbIRv_a1Bg1n3$U%}uesks9SfHz$x9F;rt+G@n4 zo8h&rt~?lCDDO>yibh<(5fWCkvy@)($H&7%-KKnP2og~7y_@Y7%^$jG0ehg_n00An z_AFpYVRRbc_vDG0*^1Nl7{x?GZ#> zc=QnOzFwAM^?;=#7meTr9j}ZZqY1x3u>cWi3;(u+eW_5$d;7)xiyLq@fody{a6HOf zXTvI%i#{BI!k+J!^Q?7EL>%r2B6fAHU9K_E9)~W1FJIKlIRkP<5G`8jg4#)tg$>q@ zDL-h9P{+gS!`qGYCC&eRB=R3wV=|$)1@fQ%AMaVSF?@A`(b#CaR|9o}DsO%ym#!w4 zojZVY;YRtej34d$dBOY4(W)5#c03~ZyM#rn77sb;OKK`%2_x;p^UrWIdntA2^>;T8w1DIyy z+tKs+VvT{;2IplKVoPmfe)#1Wi_w~Cgu(6l+=4=7giA~~QsKE=nNU?ya4Ct#k)Hm7 zHYaG>*bgxBL@QPgKikay0s9pwm&$kAv=)%`yj4$}&C8xW5=d!+9KH}2NjYF7g*b=(O2Vq9fes z*ac)k%CE3}9t3|ZJ-2s%UZ?}PDS#g->2lRn~M1kWe%+gw?^JFmxdzdn?KS=ljyj?2QVbzc#5 zE9kvr*t`;tXDRlc*PO8AD8SX=Waf@!cf&naq>=+3Jn_4F>U;!(9GcGmM(g%My%Mq? znTJjAZ{f3o$Ff(GdOm_~2}b#Z$(u|Nq>w4q)hU$mUJY>?adrMt)>J@jf`#ZDBcNyR z%r^glEZNJ@`S#cvgjp1=2}Ec6{RgPZ_HNx;Edx~uL@eqx#!>bMfR_T;YP6z3HBI?v z7_h~=Ul7~{VIEmpJB}GqrN}Qa2t7$)Dw@8E-z4Cb=^NBalYKgU(X(eYg#8`+E@{(*$O z4?B-7LN6k;6y4l5qhe@MEUpPyGT^_KJY4~_Pp-q;66q1%0|l$sR@m}!^lcPso^AgI z;5wjfiK*(&q3LRGIL>aRygUisI>!5UTzOjU9RQGFO883HI5~O@`XoSLEp)qYvs0&v zi?q#6%|DsBS~?w?%#L87f@v}v-T77M-HRkFA7itj&wl|x3X=zOM-I<#-YS9N5}*f6 zMNN{{tf4O)B)5Q#hW3Q)X9%*h46`R2lYq7?6FT3d9kx(?Ggf`SU;aY!qjKLfT_apcpS|3Q&~917ma15sK5P}X>7wFD<2 z#xoHLuj$33vX`#_Y{C;|YvjcQJ=s5WO*rqdeg;Y8%0&6-6wx|9QI~CKxqe0eTWKJsA}K192ZzJ!zh=hGB~A61|haw+cYDAi-Kjn#zft9@s0u`6}-P7tHkEF zd(ZHJnSeEH=wdEJ#F~J=sFNBytA=n54WnTxRDn3$3vV2F_j?_mw^4-vY{TQQ#PaOV z7=%CoXX8g}2{0%GO&4&Rg$Gob(Lp4|`rKCEQ#`}=EfM2Mwi$OF-e;Sfso$Sw5>A4? zAW-lO)z}rJo6h}@8QZsYwpOb9iliPw$FJqAbKrHtu-7HA0zD5%M~IX?p%kDO#XA>> z{@!!695i_M-nCr!0b96m#C?CHkaE?hodl184}?`RlRVzwIt3;)9Y0zQQh_$_zy^aK z-;@9r|M_@W*WpnZ=hP$bO`nm09C&F>zhc1KJlzRLF3>Rf3aq(p z4iFXSS#V-ic3@r?eco zI6oQ)`ML_xRKUM^elU^m1F{9$CEm9(?PAv5_zzEvS5IHFgs=VBKOH(@3;;ch6VL~{ zAy^7rp^4j11{pw%Pt`~d{u1JA^i~p`KLcC<(ZeXg&11k5;_k~F7qu^|2(N+O20*A1 z8x||Lc!#gc1oN%3We1?I8@vDjuhhSTA`*H#Gii(B zi_W%i1P1g3fcNo8K45dYpBEsG{fXaQqY;|+S?ohV$R2ZX3Tg%B(ZHlDQ&E9pS%x+QKcwy1E(H{YuMHJ+x>;a zUVnCRO&+KaAh!g?{!Vtb&oG|k3d?D)Xa!qaxZJ-b9yB0gPmOoxb=lyUNId?v{JkSH z@W>c)F5qbsu1OFCh4-5i9`W5FhQnx_v-7uV?#ul4AVB~az{9{@@4pV09 zpXy#IR7=&QK>-&R4sXm$Z6-UyTMS_5c87MT`(euqxGNi-;d{TqnKxW46bjxt>?Y8C z1>=WL4@XoxRp;Q{VG#a@Y>6z5YkXKkM+(8(iK>uH#x<2D@00*VijB zUU~Z%;8ftS-xAg6h#YF*4P?wCZZQKvun&e~A%E;+K1L?;KKu-ANw|L3Jy4n6ksb_A zmiQA0hcUj(3M~!^Hg9Xd);^B!(&QF5%#om}x$lD&pFOzpCYy0Vj-$qVY9_Vwl>B=YZCL z*<{j8u}x_;HUvdScL}gI=HMw0cB_;JR`@=5rik~DlCau!H?c_Nl2He|F$2yL(4GiZ zYaovN;fQRSU=carvHnRgv2!-+GX{U^%%U;bQ5s>_`~{Daaz2va;s9>VL9CPeV~&JH zf5C#xkq4BaFcF10tSsVpYPtn63%@#r$`6@S%OGFz7vy%a57jyig;wyQXtE^^m`wo> z3>QYZOzxaNHy2?r(8=5$RK<=2Xa^bXraaqZ^A(9s!v2u^^xtGC59$ODE7clhT=3(fUK1$b!Yyc4q2jyybITc3+?%TNouPX~p2 zFdxon6Nr=o`SD21(n~E~jMDnqOUP^Y#4gmPzuh^fGdcC_2kcPHD}}FZ6AoxTA#UPN z#@`X;2Ln)WkfHwb$L#AmctBi`&IEp3g}?{)DP}hS-vL4Z6mjY+MwfSB${-dJnH~K* zvO9@hCPe(u&5BL87sHBdTo?uv_Z(|TfvpPY-oU!=OCci1NO0b%H=U!6f;ZgIiXQAk zGQu1Pt_BCqG9p*%1i#)v;P9uDka7|y)H1#*yRhAE1GaDx=bM~AYckUZ&P%|bxP_67 zjvZ2K=+InYu=@vmGmumH`S6~@ZOFlCf2M47FGLLNDMR6}I+%0aJ(5BUJ_L$ZOqU3w z@qttMI@{DyuvR_9qk)&T?s>#_=P?qeKc((&SH%5yOs2E%V3Kz;KOJ^{zRS9Lya|RA zb@+Pi04>rA&Nf5P)77oHNJPN}9Crm~|LSC<<)bzzfr>Cv8%)J75ruX6B3Mn>gQkB0)85q! zy4GT6P4&SGfR6aAXC<`VT|&q!dV6b=lnE5%w`433ECG;K*!+l9^Aye-HcP@2NDh zzm7qn*dW0EV?KuBodxW=(FG^%NgtPkP(y30_$bzl5z9C)jZgto+6|N%3@{ZS8>-Y* z^3mJ?0kGoo@A%A@VdM#7rq5$y6L59|F4kzSVB1pR6JGi{5^)QS(rBa_jH6aKDm%aU z2UrSXEpy(7^-={PTmnGCw0Pg*;Cy&Kykh~*?j`i4>`Qt%LL3I5)}(*1+SDP`9fmcW zVwe`B9k^fbbp;_8=VB%|Qq0UxE_5L@YbVFxvGq?Ucmw#C9N0H? zN2}urfq-621fG$ouFRNQV4~&6Q{^<-Y7t2oWJzCz(OQ>Utl`eUzop=>aY^ zU4eooI<4)@Di=$#uVNS zI4RH^I9B_e?g!tha7|FB?mOwZe<*oF>C(nGKNs>2-Ny~^uzD!WYhwE?a_wFW_1tRr z>#06yK>jbT!a3bSp9Umz=!`obB+5_`ys@Q|mCBGR>6!Ce3;O6u{Mq~+f8u9is=WE8 z*j~oW9Hjxy`=R<D&fT@eB1RSrv(c<&fuRD3FaHv_mK>KjOO;*kv0uK$3yOp-Fj;1hMus-K! z7_4@V2>vFXDZbCD8q?yGfCK&HwX+*Fe%=a^c-YZMZN7T(A$)EP%);gFm7>R5Y@GM5 zeg^08YnuL5Q|O3>*+44HE0mVSvG(tFJWNQNMq#CP;LrIvIg#5!z*Bk{1wRujw4%#> z80cT~1a|^v_?Z|_^s4FmM|numK&l-UY6ZAV@O?)KoHf?wJqtU#q^8IGc8NcHX2igE zN`ECrlHCeH4Q}DLE#}@17J-xrl@m>gBRsP!NRQ*Kod*{)rl6l8aLS5o%F;w9(mfu1 zGgDbOyx`b1`GSVTaasJE(l(Df-B!$v&O#|m!HAr|;lB82F+Kc=lpw ziYGt^VvKTt0>nGvp`H8J!zZRtp+l{+( z>|P{AAJNk}4!Da%rW=C!u^+^hp#j!ceX!l3cJwmMjm=;*J^IBK4bF3_$hBD@@2O;W zSc3HG?<1=%yO+yANlvZcS8`j~JwWU^bzH`xKK3rE@_={HLCXBqbhi2zbpZ-;wvhbv zIQ8jl&39ah!NkXm9A`Vgl%$4>3)!SQ*GRSFUFsPqL#aBxC6H5T+|C$~5z3)51}!0; z>egt@dE9fL(&AKOtP2M0Yv~Ows)1LP!=$7Zs^@XN#JhmH)8s9tMY8B+5hu#k6qUzm z+RmUHT5Qa>QO~(YWOsQu7iu7RJYoqQo^&*aJY_l;ZaoHK>ydz z-sF>ji_N|e(7-V&ZNl9ZZ7`)vXePrp#*8~_0x$@eakuEEW;`5*w_?Woo)w6hxZ!P6 z4{2e#=?!oEdiwTL3|&>d5+x8-wigr|H(Jyezvo50`WH=wX{DhuKRSWPB-xn2*izhA zsh`J!Zlu{cg~BoQp0r9M%IulKp$X?2MSOWZjS5-GCm)Shzm6jM?vrKY=nuS_@|^->wbv!AzZBi1UW@>>FwVsAVZC^>Iw*r0PG zQ-e3>lJWNk30XVtq1KiGDq%T~G>YRL_4*10+orGCG-u0xk)`_46n(h&rh=YWC7l!e z!zq=Q^Vkd^TET<9G2&OsB_wNRTO{FLMF&>ZpO`aT4yFQ~dPQ{kQhmd>Hj=f*%mJqc z9y1y6ISM(-A_9~eWEzP_k%Uqw%1)89J(`eBCgKmvc!2>fhWiT`GEpagHB`K-c{fpm z7;Au1r!--wL;|(`PsYME8fB0oK6dswoW@qj=0SIoJ|jxsY%^?319^qiYCjn>z!;UI z3xt*FKZ72f>8FOD8?fj4D1%Nzhrd7IS&O^s7zO2zxmjP~5~BwMxQs+<Tt;^%oypC;kF8+QCw1pTrA5!~c~xF*;2>ufLP&3t#n2 zL~Bx5d?CXnK2*27yu@fxE0x{!%fxWep;j00udkoox=)?Q%F{`yeB(5e-NC9$Of443 zE5-6Wz2`tBph)$0{6@|tlgEC=5;d#?XE<=TEub}qE?!qBFu$xqQj*Cl9Q@A`^%F+N zkeoLfKjKUDZgwxthh#j#bwT%|`BriAJITs7P!sfM8RwKAXCoLA;vf32{&;J+DIud> zxW&KOnsHoYOH-W;90eJsuAW(-#$;IB$p?2CdLm9VNppVCCUI zWzc=iGe*w0Q|HkBGS1 z3yLPtzdzqbek9)=ZUA>bE~`J2S8W;beAEIqtDvz7I;!uC>#b$l!%aUQaco)z2%kb< zgm9fw7l=sD0tgE%6RLDAz?d?8Gh%Edmnw>IN`}^iGqrho-qk1PO8^t9~b{=xl z--R0Sc6!1jrbaK|ONDd4+^skwPw_{DNQD~fcdmaAyXXidw9rbDcFhr5%4I(l=($Nw z%=Q7dEvgzCz@J~~Oud)*Z6Xwu;7nS4xE9vjXZ8e@$v4R|}B_TF)_Uh25H#KUONy;HPe#5=Cwv#>%*E`!zsi7G?JV4PBL|$J+u{ofd#G*O z3V~msBLW=A+4l|v*O};~s{C>@cm*YWe(a1-XFkY4JalOP;{3ULQvKg77tm_9iH|PE z$oE?RGB;DFCf15%AK;?HT{2VO!A?}>4^^8XuDn3J%ULWv!@&bx725g}8(tpy>(-bw z&floIMAy0P8HR4$I?n|hthe@){EVYYNY2CIB3m|jmSy)aUC=9VH$^JX)i%Ek$hR#` z=+&iXLK@3q-=1Tus{1@0@f-Y{EU?({*E8(BvDfXXUuPybLuO9`h^) z<=Tos4lLA1P>&h2dsGH{Fz|)FvMfgwYcUyMArzg!Am_f!r3@3HC4rp-$-$>0JYRF< z>KBT*ETcTsJODKS0V4_FP( z>-FaD4C#RP0_F~|S7$O!8vsHeMMll}%#;K-Je*Gh2~wbhZ23ijde9Xu7jQF=LP00N-gZq&IRNV2cuE!b$58Wl(N6MVGcHwyR{F~Xu~#sU zra`%{dCb67a6*l3LFF7SH^o~`9*B^B4q(J3Kd_!cL_6wI<}{a~q!O7Gz~G(~Y5^rf z-g5QY!+kGyX~~R#Kg3+Cfs0&;WdD^{m&i-uH-9d^x|PDGReSl`1m~6|c8NpJ5a1E-w1L{iiHIGM4%29S6ed zQm6a*(6y$Szi1U?W+K23;m>G9M_~vV(KJy&qylOLdr4$Gd5{qY+33!r9hRP)Y=E0t zrt`t#8?F<^qS5Zl&%xv*D}Osse9wh08m(fr3cON(q0bW5#SkW+Q-1uwO^CZz)wb9U zXUv;z50X)ZhAZGv=r`-%+yv)Jl$OEC9^9|($Gs9?A1==Um<@iGKbh%QU+Xa2{24%Z z@H6zJu}!&r4yOb7N9b(CUN5~T{lM{H=qKt`p4nv)vYX(18&DR|uMy&NniK=12(FiF zn8uV~kU?;o0I0xgULt=7oqib$HQ9(cCT7MA%E6CM!H@Oltm|l7S93h^ZSW&`#~zU# z#;PN{T7qlWkC2foh{^$0i~QS>6!?J%q<}CrZYq`71smG5Rvg$p?llMhUcZ^Cmm*dh zP>nb#gHaoCb&WT9u)xB&+ZFB>GJr+=Sk39k8M#mL)#CzXWLw z0KouN|Ri89gG(~W!O5jm1(cOll?DkYrYNMO;?gDatQ zY=~6Hdz+VXGgCmI1;|}gYOQ)&HqBau8%z~W0VNX2RMCtPAO`{@RX$YB5)=hXmEIW` zEb?$@N!Dh+A0k2WwWd^HMjU*1I6av743~}CDY^ti1?2&m)Dl%&V;&;aLb1fDVUq(b z2eGM``qqd+av5YvM~!vpPHD4>5TqT#a6?ecU9>ya5$ZFIp;#nOd4$P*{245sa<5S3 zZlS;s{C+zZ$-=(z&LHD`?Y)xzKna>Qar>_u)3wcS*I_dSb63=8Lb`@fCWxVHK|8c6 z(XjXn&HSeDN_&hMED%KFZ#XX?z4ux5F)Y`U;W8=4pph31i~eZWcpMkDRu*^RqGo0fFr@iklxTVLmSDt17{*f0u`V)Cw}I^h<#IdGk3kKJ%eIJkVm3SHyL$0Qppg_y$9NId!2&={*>4CsrI$2*V$^ca$`sN{ayDai6ATMMCiSn_#<|+_@cQ~FB_=vHS9Zfo z-?H)L$wP(94?aVy4aAr{m`bHZfo>P1F?ATGA*f8A3(uBe`7N3wBFT`GiPB>{Xpt!|j?&9<<{a!ev?R2(w=;8?}hj6kaq@i|o{N25TeO6}hyYo8$(~0I$r4X2P9pBjbCtjR*TSJ^c#GNqpJy@&F-n&oJqNTF43l_e+pBG&U zj&9K4--&&h!EtMmQV@HQ&w15 zQDRsVoNdEPIpz@$dBVDt(wQmDi{6c+=@(()Omc4rKBrvwLsFb3q`O4XOxU-4?QmG9 zQf6a#Nn^;1$8Q9J^xMY$UVI5p1vBxCMQ|D(=(wLdouO9@`qiNu)9_`HI} z8Qm2OOH6}8%aFNaa_=9oGXSMF*if3V7*wjr3O%$i7g}N>mT7IR+#tJOZ(Lg?EUJ6E zGsKHXKsF9d_-Pd&#Az)L3$xlLu*Plqgr9*PM~U6XLxnKjsl*e zXGXggIqgU+y!1?h)twc(pW$ozJb^_D>yB~o;=gGi`Ljcj&w>3Jhlpa{AThH!4|bkl zAspp16r#vB5KuZCMd$vT{WOMYA<6cW05Ye z9||w3gxG=Ws?t$Tb6ro}&?%JkN35{-PKgjs@zrTve~$fJ7?A}mf}2{}Lq(9$KnDxV zl7WMLBZd;8)4D@1hEfhR%BK0J%ewHotpPDp(f&-(ox2xS#M1c@)mXAsmmLDuBIt_y zs_87d-d%M>CDtz0zm#yX?(a5vZgHH=Hv>6J*A;2N0!R zg|Nh_kqBsD>{$4wIQ3GD7_6sD&(9)|Y>$Z7hKHC2^-D1^F8(ek7IV(1CO7$aPWl2) zM|LNgXyml(93sN|!Kli5i@h-iQs_-_e|&sSE1wJqHUqs~2W~U1x}%S^VAWy6 zN)loz<1u)t)IDFDYbje;BMP=QE_NLv%kb*!ZLhd8VM%B@`XN&qh|yO}lJZs&S!05g z8t^v-h@fu9{@B>&`2#vcLU&W8K0kc{WS&!<$7~O z47$zai$eYFXW=+$YChRe_s23u9XpWv^u=)@(w&nHtUy&6mx#U2iD5cU>@$7e=Z??Ce`?q<-E15bl_D~J<6d-O{8=;v>qpz~5i!*~ixqD^=El1|dAAIE?EQo(QQ$re0|Jc!CSU+Nz7OFGG^Mxh;u zuVD!HiJoF}HjD2(G_yGwcZxgroYNj^cQZ!uiT?^>ynvs}5M$tG-F0^rSB?1j^Fg0S z=(5n}$dem_10wRa@0KZN<=RD^?=Ncyk=MEK zkllgwi>lM56vgvgPU!u%^IBo4~phG zp_e4O!%gLJ+70^zn`2#^-!)ErkUUMnGybnp!6Mtztyi1P2Q?Yf`A}9#?`xJQvqGM%eg>mHU_W~D>g3Gw<@qs+@n>JpCO_(bRg>;q zG?Rj}!JeZ00;)Gx)jajQ+@2(bxZ#lVOxRd&;1;epcg`dzrW^jA9TRhFmlYSrPV z{c1{kzVpR(cPYUboOx5s2XE*-{e<0Bz%Xyee~&b5lmJJ@Era5PIqk_-54hj1_7h)c zAG^%|9&8?AXAruY0xc2caLw+mzlq~&fh&M+8hEM-atA4vIuoD;>iJH3%egBiQh4VP zG^QQv8_#c4j_zGzxKVy*>SpSt7A7f`&qEWJvbJvXbJeVam*~~zpOMtk8gzT!tfzPFafU77Xu``3^$?d0)R_DNBj?_w%qs!}{*kqd+6&gIj16lzD5ylLT&%2Q_Kk4O)#-vCJh!T$HSOC3 zCV+cRcr2^1OY8KLRh9mZoWEn;*Yn8NjXI$_vl&(|7Ak;$*n%Ex*5E7udiYf)wsa;X zhbeao6>qcqhM0dV$vxfeF{NqqD5Y`gIH|A$Zv3|zp%g8<hb~K1X!^Wot4sLE-W`}{DaxshxA%wlp6NXQr`;Po}u%U1fC66!L)Sv zlX93skfSQJ3R2k&@`w2)Cm)UERccTnJ=x4%WSnYzGW?E4mK%V9QxqAb`T5n4-y$D`ZcPYQKR&dp2`&e1@bwQ;`U z4p$h8%%*gh%Qh+cB$*+wDuv& z&K?@4;mCP+>dv6he+GNaL#;<8(ZB|#iEy2H#*XXAY$}dh#D9g|<1&pfr?Q~CVV%;BA-GukP#@|JC%aI!QQP=V z@VhAlsyBeOcIt1Vs9o-K(D%_l8Oxn2WRcX5*t=%PextSKhWtO*ZlJ|d2?nUIud09> zP5k>XJG*Bh7wL9#gix~U*63d^FqIVVrgbO-DM>IZD;`Um=xwP8cNGTJYd6l-#(JK1 z^0h~LwOxG~JnC-&wK~tv2dvq4#(!skI#Q%Tg{)9`$zOjy7CLoJDuGfycZ{ohjKqLj zt)MI9jQ>X6V(O$qu~EdW^BkA%SR^al0o~4J17kb)GmjEGs*Nj+A|PwSuAB#WAVd6n zd`3uP$Q!igoWpLs02*qYS&LxbYPwkh-U2YbLW)5Dmd36xy{u;*@WD5>}-=F^Ao=slN43>4lz&x)TV28AMc0&9`t3lE@vQmK1IB^B*< z+Eb{erKo4&X@q-kXeN8f?fJEnuqX1cb-QezEF%>vBC|W}pt;lw+O2iiw}g~J=92t5 z<+x|8^Im;QXWMt%XkhkGtF`|FY;GF45TB*r!-(u0yRlH6Yhpg)lPsefBWVM-73`Vg{M|? zE|n&%pomJ+XL)H4s^M!<2k2u1TRFr&vlxHH6+kkqxS2dL3tCX%< zEcUqpB{S@1@9_YAsaq*`xXYYpNvUk9tm)Y{9n`C>82ZB(s}N!Sw;8G>$^Ci*8B-!I zf|lW$oldHL8gj)q1v;wb_+8`Nl%b|WPDizO2{g>9;)4eQ-J@rp{CrZz&L7u*ZPbxI z_4TkE-lRAe>(tj<$HI_>Cj8$QBcG0Csb=78I#n!^?jkRL12!o4aoKyVDW)H=LF*__ zufT(O4=O2mE^N)t^|ju?IC}^lf#1QSH%MB+Kg<0zFDs!#YxV@_`n))R7pQHukK=NO zfNAthcC4j>Igf=T{nROyQuyLJ=h(Ho;`)1)5~1n1iT+g?oU{M8wepuIXtR9#+uirV z4yNct=C04(RTKX3HZgEw=qqX~zmdTqI`<}M3zb(lJ>H{p;8%0F%_`WdUx`wRyv3VU z*66bW!yA#Z-Q`92_D0g zajw3g{!H*CsL$?OArh5@d|yfkJ~z&2ODl7)&k^!rEq64CUvxR zjyk)&ziv_$o87NHt1bO(YPoOsjbSL=->pe=x90EIQ#iWPGx#!v;Z5iMo7MVa9&GE5 zpqRt^-)T3X*10;N^|Jq3q87~45;b1NAKAyV>2k_o|2)3NG(=cdmksrYTMPOwXl#@_EeGkxX}^PWn9 zO_Fz>Px@Z-o}dNM!|DlFm(nvKpQy90{P@mIl3le=pDaWhhp7eJ~^)TYK>bor*^x7 z53i%|mfYBgk`46i6I?y_S&1#U*)>qqZG|#?wt>%d(>BUXM`@(<`my@#(BHnoZvzdV z^@S9l*ODl4)(e=LB>5c8V zugwjPFt1`j}>ApXseCEz9F$-qx4}&vN(`4Tn@&fHf=J4cF79ZFxfy@{I7 zG2f~qlQW5@xcXE-Tvn`e9>aA_xDM(kNO=(DOe)o7qkQ_qH@AF$)sxYlpYUTBKiA$g zB_`geg*yc%g>GQD?(#$ST0F`TG^x{iY3`N5Z!3(N-#2w#wrRCeT?l_N`H%X;_#_^T z5Q!27H&cF=?IOws5e4QM!CO90^~Kb80Hf~4e#z}}Tn|;M-=F+bsJ&#_-%5I2rQdetrt|6?^6sx? z1~3t`Vd8cMs-NzvdqFn`@u!OXX%QQpP5#+44Z7N^kyxv~n)t7D(>21mro$pP_YdkB zz#=eeuzHncmiwUHq??Nt1x3wU0Ti>)OoLxma*3vBP`0l< z@(p}IYJ+CKBUWSrQr2Ysfma@ne*3|hf?kKW zg9;72t}E-_?(V*WUjN8P-y$T&lotr6@XZa+W!)-B^(E-`D6JXUhz0+8BLVg1U@@+< ze$kU}59;iG#NLA$VUzA>Zt%!Mhfo!Zm7F#Bh$|!293n-8YZ>D z*R3=U50o;pxKY?;VCx3i$nuZ#XsP#my_v&~8Ok2ggaaAB<`i{}ce-o^uXTF`{T4MT1{77JR|Nayn-PtPlX*WriIm}-k0Q7zE*6<`e^j)v=9Ks$oJ=;Wjq9+H>3N5L^H}|ztoy`3f zLDxNFViB8Kc*JVF=1T5zdWC*W>ViMxFMFQ zG3q|Zt&Q1x0jvO5pFa=m80)op0pGhjUfb=~t+lx6oEzzL<;R#3(|IwPQ?U()3)_L~ z-AV0Vb|<7I9v;8iyZVPOtL$8Ur69_nk0UBD$!l(mnn8Cnh0%MjZ#J-}JE_Wom0Jb??=ED2T58J;qI&<65&N&*XM)^I;!#vYmKJ$9B`7ABPjO zxjod$+dqGG4pKHX>q;FL{ZSa6(BULFNtHO>;ZCZduiHG?)vP^U+x)C6LNu)5|8qaS z_V|$XM7OpsqA~DzxlDE9P(hETXoo%Jia3j>0|x{5ZND7`1!Kxy3wiWr_Xb}CM&DX( zb1LQZnx(5(zKY|I!#-l8aUH&fvj<`(re5eGZ=PPqaF+)ilE+cCN1b^Nir92g9Wf4qgS@!ztWf305AB?Ow6eds}dNpmD27 z`b!m4gm=UH;=l>%qp1N>8*ASg0D)l%zZ(@@9E$IZJ$s=Y0I+H&^G zZNY=x$A{DPQK#u=0^Ip;qfM*4HBX(lIpsRo^Sd?hxy@5F;|8D5;GjTO)Np3vMz~cB zyH2CNSRZR~fWbafC~=VIwpdon5`XAF)VrR5H_5 z-sBekEI4CxU`b@Z#Av$QL?L*aE}lPPQR{?ney2RsP%edTk)MY@tX(4NXNR}JK6R^L zeK41I%|=|G^Dg!&nM~$#3D1`4p6Z17eLI(LMNNNUBszAQq|{ka5nKuR$D9+Q5sxDz z?8b&(@10C5?frZZ`qJjc4y|FwhvetYDqVqB&X3KhXbDufF`kS+nS6e&g?-rkLij*g zEhG0yWp57u@u{`1Te@?CL_-g34>m8xiTfE|Tid-kO6jcbdMnI(Qg}MTar7^bI!ngV zZVefN_m*M6bhjta$g!J;}v!iTe45kfxeJ#ITAB0|f{ zXCJXv{p5Tpi;6y`=j+=wwaq_fT?c9v5-l^me|fjgzEqf(^MQ>35OGZYWBw zH-o9+h1(qi$sNzWCQ-ERX8*DnFbW{G?+lcV9$Q=6a5*5dd1bM$-_rW<0rU-4 z!&dfVJBHd;!-BumT5G(d5+;t9x&*vdcl&h~Tb^$Yh%6~((82 z4E~}HA4=w(E?~lpx}%Q29WQzB?mO$A>_vL-b)Sr$>=x7>Z>M_GsB-Hbo*eHLoP4;l zNMuoVCu;PU1?JP+_AXegLhnS zS!Y4fYb(e#raFR64Nndf-|}7iZQmq$#A==8y@pRkt_!Z$CnfF2V@=q@5>o44k)Ioy zS*Lbi_&9jRVEtDCB+@TY246?$MZkhe zZ1ejc9Xsim1r~ICg4p~N@jGMvtj$RL&gE){`t$U#b%LJn(C_=@3|6b&0*52;Qm$s} z@VyemvXD%){_`>U(D60VVhmJ+8(3z}P4*EY+}Wi78AsCsSdDWlxb-q5$<}Hi?rK?& zHLD2UqjY@IKn87k!vzYB9qrgB`i=xetUkxmdMI9_YAcJeGhGU9jp#uC^?|SD&aP=` zPNfBx9c)Bcg;Sc5#x|Vy*rXk@vcXAvLT;a2npWR7GIUCMnCpSW5Uv%qA@2w^Q4`(Y{VbPqg6ve4UPQTt|sI{t5c1y1x;NVGbB~ zKOEv-xf@g0uuy(2*WN3_Rc@&aURUPj*{P~if6?9{(7Mr^qr5L1yJDp`=0mOC{j$q6 z?>JQRm__0_55>6v#Giid3v0$;C@#H=EDZeVpYP*o>roM(-miY?!Wj(9|K6@*ht_oI z&rZT{X46`T^YJ(ToyR=<5Y<+;K15g#_tX-}k_{h~z1zP%>QZ`+>zdocv&v?6nF#EW zf7T;EMx$S4qqP~d+VCvzk%oV~eGka@E>ho7C)y(H9=jmRyKNqE6z9|{4qTlS%~0*p z)S+hzzbo*mW}BdHdM5Onu zKX$2>9jhmyNF@KAok^f9_^ov`yluH>kmym>buMRz9!jCt66q2;q>`9^E*0SpUq6$? zsUUsg%6?rwxNQa6p;fniwhc)@Jh~9raDH;ZG@rCy_$;uXp)MINZyo*yaL;4zaYIx{YmPf%ITYjp{vuw zxWRb{6vr4o&Vgl6>sR0Y%l5BXuHy7co`cbxm+`^3-^)DcK!$r0)2n?iiOx7BofGW1 z-<|krRhFe2j1BgmM&Y+?!D3DDav0L_$Y8dM+uV>T6l_alSdA>^KK59RR}IHFG-*~> z9glNJ7muyhEIGZ-|4;z@V1PmF@v&sxBsD0?scYA2>hGLle5Ka1&{9{N62|DOoF(1G zaPP(DdpSvILoUHedV26APL9+TM-KCMh0e+3QXNc&V5D{rVSU~&m6S=qeS1@{XVMKj zhBcXdJXsJIjgtuvodoy;|3yz)ZbiD>vtS(R#Mt<2y6Lcb@od4%!`P zB;S^xG0ktCIS>vT$_&pdXl&S&a3b*wQFvJTc*DVNWo4hUa`AE}E}1(dkHK0)5gd=) z_4W4r?RE3=%^Lqo{i`XhLJ4+>Hw%SII!ixHXdWuR&CZg4_NhT4K|8U_SjaLCi!6D& z>Tr5q<9I!Tc+?dy;W4|&Z)(dAaq);m4Kd5{xOSP2+w^gYgI@zGJtG^>Z?B?5h3~>6 z$+*Z4?!e%Zx1W1kUa056Hv8BvBHQKqqsHj;q-=cfz=6yHY9gy!=r!aDWkG_f{W)2h z1vk(s2=O7{60=p-sFUWQp?FEGG&OrZWaLRBV#YWWzXyACJd;%KoQYeym!Kq$@rfbr zr6$bVq0)q?iqAea_$0U|GTNa*kT2yJcGeD_NU9y-fJkj&d3VCFs)M3Ac$vwL(>a>s znN$z-rY0BD4})J#%G6JE;~^n z$`gxdHGoEah_z?3Gcs9qjy)Jc452Q0wm5XiDsKJ8Z~6puv@7dO;vHS49mazPpk%ko zUo5@<8Yn)|_%tV&$fM&_Tly3F5#8wB(Mz>Km+vi~NrdNARbUV3G1C1{`RDk`s!_d` zO^sH#E1{5W9WRJNB-6ppcbEc4NVT4nLjIt}51k2}duS?AIg%ZIvPlOVQjlCA|DesH z_#c1it2ys{wcs#MYrj z*W{+EZwAs9jh`L52Xf3lJ%cYzjwL<+bLR^yRpSR|l0#X-`RJf(&da8O%|&5^PlFFd zK84@(j96Q0QD8G~evjUxpMl6i9>rHLNjqSMhkxzxdpu1}`5|MwidYw9b+CqYqI)1& z9o&Z3k0#CNNp#f?pViSW{io?r0y~xYlgEnS>EF9r5%Hq^p@)Y1WEL& z{^fq#Mygy$BiO$reTw>9`b%Q_b059n$|S5VE;Q+4k6tg9sJT$ZG1O9c860 z0qz~Vcv0yJ@1j08uW$h(<= z5kCIoJ39Ci=+eI0iMrA02QvZ8GU#YpTtDJ_WTXFalSGpqk6!kY^h-=z_U)kKUM$VP z^;|}9@2zj4J)w92>$2pkh7eL6I1#2B-5>x5Qqa$vWNK8jLE>p0Ls#p|zE|zxGe--Y zl5WeIgH6IJ_QYf~WldyHdOrK!cID?z;!YpS;-F{$ zw#L|67#zO0)jujYanjZA*r`4>i$kWW>8cH(A|p}HY85A@`J<`Qf_R(=jk*2(#ay=& z?jd0!N2@3^iMM;#z8s)zW4d8)zphfbzm>Feoik4Pj`J3&$#t=oYtTx=53{srUMjRa zcl`LeYPhz>yu|@)%^xJ9?86c4$e)_06Sf40R|k*k)8P`7x8wS)7h=LKwpu1CKt(V& zIv4-dekVVF3HmZ8z?gX9v5Kfm-StG?m0>bb)7ng8d_-GWSelV5an&Rvh0Q!<+mNOk zW(TkUF8pBHuVt>3>jih$SAbWLr?E}#=N)B9A5Onwngh3Qce5yq7Z5=Qb$ad7_#Y;) zx~Y$sHc{`8%6dEtJ?s?wBR+xCiwA|t?;jYWx!SAk6p6H!RwayLCWt! zzG{~xIr{#V*pheZs=NRFP*`eG8T)_fYl`<0(jrLZ|OZ+RvN2)t@`x5hFn$idguIf1{}UiDzT&5e#TurmJmMH}p3N0~!4 z0v}k=4qv{ieba|Zt9wtlvFNfa@Cm0~zu-SwBvN4vc#gnD#<9dwWt)v_MqPq6{Eo2p@ z@2TVB)qo?j=3=6mj$O{Q2O_ZmAQy_wjBZaY=KSEs-&I$ezZCt_SS_+)^chN6KQ z6?wFmBCxM~1||JMBD2%?ph1gE04k!=z*$oM9r= z)I~3v20oZ_Ymg7rYPURb(o*z*9jk8fn9CU(&BGCoDs!ZCBC6$*wp*b^q;p0BtF~wyGDA)E z4e(~*fU-SlM#|EVP2qlfop-JMT3XH&Q?Ea{)#*A$MC9AF>Y?Cn6&73X`YFpgh1~BB z7{_q)%hxU!zO4A6b}MqV@3z&9T-Ys5Ig3u~S*;sGjW{3VVaroDQsPreyNUhnGvoaqv18dqPLyGHx~%zqzZU3H)JMYZdlm{_Sl(Okak8tzD%nrh?Pc#fP> zIPj3;R&julygUBfMgM7s#j89LAMXtBVXVkaeP~OI*duQMNK1X4(v>OWb?=%TC6mq{ z~puYJ|z&`QT>p$pl zv03l^PpZA?`!+907Wlj3coMbVh5VH;j=a#*e@*&~NBhbr?1dbkM0`)j_z20#q-N^l zjN6ZaC?*uTB}}?U)~DBu_xvsDY^p@4B=#-wBk&f=iWIqgdgq~u|@gjcFJ#9xYk zvQdq1>v|a9NMsrHUa`1h`91NhUV9(C)T(qZKzi1}KDOQYO-e`*+8gJ*yJa@~Al z-d^JAtu0`Gg8rsfk-WY##YH7!IBbJ|cK7XlqI!-v`qjuU8$LLuva-Uy4r>ER~ z@4|$G)qbi;$pM?!ZKPn`HTE@JXKjJf@5BSOU8CGFdl#?HC&Mebz;n}{@R5i&sc=0F zgq z71`qL*ookc?vW(5`vWhT#x7{C^B$#2xm4Qde-~)A=|u3T8{bW0HB^V9pVBeB=d_n0 zp2tSE!WT4@S!H3}Vcbylf#aGLk-hNO!8eE;D_yrn?`L;g=I8HsYc~UiDO=^Bjty?p zAovSIltK%E8DqtM#+cl(h^_CgFPbl>FW1TCZ%J(I$wYypgIB|wB=Xq#fbpFq2Zs3^ z#UJx)kNf;y#hWZCIu#Ld?TGiyT|6%1BSb-&glE3mH#!jmu7hOnOIwh`la@a-)(bm| zaWXNXdBxb=I8!ND;e9v z%?Cl0f)7Xeji)zpRbH0@kC#Wy;i(dACzC9VqhPx@8~9&y!{L<4SBAWo#A^)*&v(`>?X>*q*nW$TJN?OX1^zk#8l|iJ$ zm1FMwc9lZa+xZ~`hG?IYHCs4S%#?|d$&o06T;!x0mc{0XV@wxt(UH+#c$&8p{g#vKYVV|W(_=(0xpUn3Ml%MSmxnp^+0Ds+i^?|>j{Q4zQ zvS`G7+K9tXrD)HIZ;3D03+WVrgwheAR$Q9#cA5PS;3m)w639n+n zne)d9#Z#D>h((~Aa)%q0K@hJO1)f_21cWD4KE#OX4)u}J>5hRp@Za=nE^UqSE7qb* zFNhooK*;Cgw)4>k5Y98NWduTqYT9R_M~xjq(J{bkPS;iCm3^C6JBzqCD9-1u=vP+Q zd2z|h-QE;fz)Z+}zqQKY*F)s5b-7wt*ms@iO{doCQP1$X%6#ePrA3uI{bY;>__Grg zCCrZuraw0ixWtphA3fYAlxh;*eWSSU2CMJ5Wx2l?JI3HAj6OA&x8fHuX&Z2f`ePx`4IL-Ou5Jno;nv?A;5JkB-@t8E{7FAW%HjEykQ zX>`kSIv)0Zt!eEC#at%@Jz^)gxA6ub4B_@Fo~X$m^qXg>_)d^?sb7T_w*UpGtIJ*f1{ zq8D=|vekGOId)Z$ZP4*i)+(pB2CD%!^R(;Lttf0t%8?BjlYG>V$FapDUw}*|%$1Kh z$%vB86yg{2+l zUg!{mIE-L5R1uPOy?^?Y`==~l12j18FI&b)^l*X%oU{TS;(IWD$fk9)3=f*AGX(mf zqyIQAU4zHKi(;Y&^nY0E{2mSIQ>MM2vNf`wZ-DEMmP@OCt8(}Vt?+>p9oNrQ!)%*G zEy{kT4WYCkT8;D7WizQ|Ve;r#5k-^uw(5D5re^V6%IY4rC2xo6>n6;kllpA<<1+#o z&-BAhMs_Dp#qtThXQa-pM52CAuRax0y|h8IZb3HaXI>$HKp=-4cs|)*kL0k-7qL%u z2a|~&LUe__N4KH}ib;?xwjD|9%?zJmEPk*1$|ku@hVI9I8UP>yBCBDYLv>6@tl~oD zIRlFAY-4t3bg2xw%85(tI6y(*T|{D;fT#uTJA#0JJ2ZWrj|7>%_8eQJsXOn7E(a-- zE+pZEP&0L_@2%de(_?)g4jCc){cdG%8k~6yZ!EUr@yX74=za$CAHfzxc5+T8 zEaBn?}?=@Kp*on!{CYI3e$>wxEh_=Y1Oj{Q~QFm$hf^9E|m9O3!>&JQy+ zH$Wqm--0Y^YE&aw-K@>URs@4iR7M!SvRNX};l>8RdwRs%t51!8=7PP{aLVuATBHRi z%}24Jtha5Gvh3%V%39N2`oJCBhXaex+#U4hE+_WoTBYRSb_CMAIzoM7qveor-?yi@ zzo>-w;_xW<_`t1|2fcYBnXanNAf{KAE?BV^tu z=N59kV&c<}?1+JLJn{;%?Gm3mOBA9%NZpp%i!q2C0{+b%1@#LiXZ+Sp#+)Zn2t4#l zputZ_tVkh`>zW%KW{D7WC@9hT5ZMtqw6OY{M)$S9=&%g}vuVz>*@uJx@{#=Tdkm>=m^NL)SZQ zaa(-~F911YV_0Xk;-Zm4D8PIGjz?whkI`3>m4aG#vQ<#(bJlE`mB}{hkf>C)G~^C@ zIB0|_$*w4V%$E-B&|3SMHUZRGe876~-en$=imXV_K7QL<=66EDalK$lMI1*Hg^~YQ`224;c^)TmeFc63{*JFQXOzg$g!{>k z_j7!06(sK<+!IA8gHZoell3`U-tp|NEJ$0gqa{qYbaE1_X<{i;Jc@Bx6K!V}01|Ea zr@w7R6|40D_6;^N_0&GF_CF|gh;&=V9C91^XK>STLj_mu728UY*dztypMW1w%|M8j z>w0?Nb@(gzihpA(sX;f#B>lHT0Qe#Miv}KzwEr?eyUzb|rmZCz>lyyQCLQL_n-y`I z<(cdwW$cnjMfGIUQ3MTPXbcb zRC04}*<2o_s%I^~t#+20AQfMTwuJP+MwrCsxS#6g4OjdbEA z;BOt3iIKPA7CeG;Cr}+_e)>PLm1zE&1|`tgnx4$rLXpCxO6-}yo0<0lLbIh{=6w09 zZ5-p5AJ47?=E_>|*Idm)2i@Asj%PF+cm*!U3|hg8*hg~j?ty|ZGKnF02X{^1`8R-S zj<7we&_m_0aF=h^fFqf%3@bn_A%~e#qL&2Q^pmk?$Z=f>UA~Y|JCNT;D`cd2>Fm_0 zf^8Lii6To|LJqw(5#p`@sszB&#_N=uL^|KJ7&u4ko2r^+5j6|sdU3cwTC>o1z!CwB zjLBpX(WDR!V&tHJx1>gb&?W+J9Nc{>DSO146tl7cmLB0= z>&oq#PuSXd5KbembL$JE&DIdZ{12;2u#AW^Z5QUP+EY&EqeSQK+c@$hk}|#|JK4=z^vHANw^)V$W%@BPct6&1;tiN0$rou>%3{S1h*X{QfxZF z2}{9eL-Krv63u#tjllL%*_>8WTvS9@AIg5&g8Q0V--j2VlRN0~{wRPEau}nB3+}F= zaG_n4@SfGeweB^p4TNInRUF(azd{0s)Cb041j)b;GmQ_Ci&jC~$)33RtA%;8L0^zpqJ$G5IR|PXZqhHKtGsdE6v$q_l z#NFa|8?#bLG)Uxs?MwSe<#Fg(J;n9;rQqeT^)Rf|=PGoeUKOGsOmsZWp)mId@YMp|51Oe<{|c1>~~yhpe=8avt82A?lpKrj!&NzjWmVtq1*f7f6l>k z@qmf|n2ySpYO`o}$@lt4G;lALEjXI2-~vo0y<1Yuwvf+EJupv@)OPvipYSEIa=tig z(xOH3t$#-2;a@=_V_`F=j4R73z9d!g2Y3^jE{|n>LLcF;FMH9eGm;{3JmTv|Iv~Ze z`wBJR`!wwPisGPJZ>(er~BLeNxAt_Hb?>Ay&APlAkYu5X8h4e*D%>3(7hM_W49 zq|GQgffy2;55Gjp-p=qfW0q9MX_aV;otG3hReu*K}}Z4YDK_e98a_V_azS_mssrRF?K-_)PgbXdFbLp*`dwQ zBs|Tj193`|;UB=m&?uYS9xyJyT3hH{1ZW50fGMe_(pH}w#l{tm1loVjk=2OYS*UAL z?ShOL63*9@7_-E?AHOp`LI`vX_n8rd*4e}L{Li6!7c~z>!lOED`n;Cm#7CELqN5!Z z$LT>&i$~_z-CKIJy4=X^nobna+k65u5o-%ivTd#T z!?lo@g-9g+Z?i6N&@E=F!}WxOJh^%m=6?>@c8QyZ+Nicm7Ug_`0p#Ky_RSf8sdc()zD|2UY~ih8R%rLj!8dvVvXQk_y-?!HY0gqrw6G z#ZeV`C7^Hs$pA9SdL0e?3ZYH~ zjjVaozdYbmR&nl4DH+s5-Et=5^RJ3K$juI*qVmXch}_bcz~Bwwxj{D{`i2wV{mdO1 zU;v6?t3clWB)sMFib-*X+8>(H-bbN4k#Mv6P z7qqRp`vSN2&1exD_l@nto7gQ3LkGK{+gH52@DfMs>~S9CS^t=wf?chw8);Ik$-1?R zNbf$cX(3_)u`vO13ohHGi}SHTr6{JWXDpBGx-$>nMJlE%G zpl!$@+GRqt3aytchgRQ7Tw9y8mcHUutmxghhc|Q%e&!r!D=xcFv?cP5PE$kQ!s8xi z4LJ9~+8jafn^?Eh(cb$AHOVC}?M-y)ILHx`6F#T?+=TU%2|GE@xo1Nkh345vIE3VM zh}+q7_|0J-P3Y7g$z?P_uvsid9mdcL$wdOcNm;7`2@31!zjD5U&h6PC)Foa57|3w$e4-VHh7hi39;m{IGcpC5x(^eTZe z7wCOjv&+{g4Ifsp1}=0CMwyq|PzjaphG2d>&qs_IMxW_miY+ zxA<_)3_cw{(eURaq+za_Cl62e#xq(W1vC6+hbWC?{IjUYdxyzk9$u+>Nx12^+Lu7+ z8P#_5ETP`9eSb*-hLn+*hgBeN(3%vmVyX~B0J8_+zTy|;>mVJczBW>wLLYXvaWXK9V&my@KdNqB|Dm&!D^bJNPXN@NA_Q`d!eC9W(^(29a9wI2MA&a?ouc%X%C1#G27D-5LvN0`tkOlE?{s4CprSiJzb1WeQN^eI!$2W zRqIJ3_#zE46tWwYDWP}W*g0{wX6iF^Zbbm|6(s&sQ3YBevhe1(75A)$yq_U`+*17t zgC)P3F!Yz(Gz=kqQvDZ7HqBK10!tcq3kY1R=$^o7r!f86n1mYu@IntCT#$W{sIZ`tiS`@r;fJa85 zxB7$F@snjW%y=G~szjOd+5v45g29p!{0Vm>?o7SM8Vu!8KQrTfuMyJoF}KcTxBV*e z6}}?sb>DL`;aIWQt!BparKto zF5|1x{l%^jq?nWSW9A0f%r>~Q$W()VF@L%7h|%54kA}C?XP^Fwi3z*JO1YA5ogrT2W$G}$8Tcg>*st+8rSQZH-)tF!V$QY0 zhR4QY#bYZ~tc9$mtqwW6+*Qg-axA%hs|IU)#FEb->TG))V&Vuk%di_HP+|=i#6J;L z^o(0nesQAWv|p4EZiV}M<`V1al|2;!%9g=<{r?@kV*1K4=1I)^;oaKyntvKwpS%Xy z9qrxo8dAMk3R%@|WYbZX`DqBth<&<8NX)=WGth%}^@FvLyS^zP35z4`c`5;pRQI+k zOgwb)<+Jy;LgD`mySDZQ`R(PcT%q?&nj6wOR>*PK^cAqux|9Xt>L;k_tV&`o4+wK( zD8zIs@o|c85Pv+jt|~{-@||En!K$G>tCU2*xHruIpxJ5NvxL|?u@IhpwQaDxcP)p1 zKA&ekRF2pqb}$ZmWcGy6dyOu|Ruf3iqyRi=X4C~~`onq8y@)%AzRnXq3&+4IB~OA8 z=n+|&vu*CL0@9ykeET?-{x78Y36Y?BP0R4SQQLI$#ee9k$e|k%ms!!Q54J+=+jX#o zUCBCC*dyyFAi%qjCZPpJe5WNq0Fj$1jS~O*^!)@tN*HPb&EI1C=LQo_wK1 z+T_Z`!!I)xX{KWCXSV;NzG>7T;Qxp8`|KYIF1}uf-L`%hHWzV+o=v7{`4ZkSc@%de z=7C>M)l!;n-h7*UYgx$H()T`M*V@&HpXRsz+^fL_|ML4$!Ze&lcIyjMcRv0U^Q0=T zVwEoos(Gc?RjLL!S0Si2>%}B#L4GaBuB7{3-vGmzeRxmDdwH#%A^zeeA$8n~$PrQR zp-xyHrzPSi5dXx_NdL#(hcsPthTYS8aG4V(Pl-+5*XI5Nu?M17hjvo*dV)Kn7!RT; z5C1B5shxV7i^|Nn&ccF3BJi#qQCc5t2sX6SVzg9E7&CWO4G;Q92LUBGcIA3=boqVZ*iU)0JIu-twCM4lQ$eeUe8&}cEX1-0Tf z24@ZIAAGjhYpe=vB7mOSqm4(mt#k`bZb(Y@j;}t0udSHxVQRd%34Dt)(gpu<+F{X z)Z~BOmp1$d6f7Er%(VOB{#GsIvZTs|n2hj%(F%l+mHhnNAU%%E^lN`YBRGDu=(g`M zer~Uuz|lNWdy>tcfy#0Gvn}%}`(d*6Fy>WJdc7o~zR^`-oQm3@Xc}~X-Oqa^W@doj zol#dQbGNni$DhPR?G@;>60wxnIBbdggLg+JQ-(20R=4M`)m0TR&Y(Z|^~drj}+%7t^$PBcEj#608H9+9z+ zYw~s}HOg%^u)ZqxzW2d3uDVG6grb-#+8bHJuu#&I2v7uXU5snNDTQGxKC?MakG3Bt zYG*O2YJ*+qPl?o;iiTDGip{LrEz%<2>{s`_jWh*ho70#J;=*12^;kZ@TTXt zF9r?W!H_-L&dE(4!S7!>XEXlVtX9d-s>Af;i|O;+;tes%9D*rUUT?MAKwOz{?)HP2 zrcE-_pdRY9Hq9+|>`}Cd1r^EhYGdn85062`us<&3EvUi?+gv>qHYAn=NAMwGiyuqnqK|LEbmAvR~(Mh;nq*ENc}$ z>P0kEzjpL7A1F|RgP6{3hV8+LEa*e7fRJOC@0omWVeLzn1?5|{Gx>bg%@S3vrM~hP z_rOP8%amu!*Ma8=05q2&6kTrr;N{|Kpo0juiH4U=xM}?)_;_I4UZJ5znIoy-gkbv zDyvS}yMDvLHOFIc(^jS(3cB{bpLLmgkwl3M1SD5e&Vcv^AT<1%Ds-}JTVB)!@JA0H9oKAE=tnv%n%xm3rtP6P$g8U z>?BqV9r_?IN6pwp+;K0!1UCRVvD@S8Bji6Ne~Ces^z3Q10}?5KOfVca;>IYM+$qCN z9_D|^Kv%zzAgbO`Ufs9B%~R)tF#1tucr0{#nS73cUywUKVAH4D)7;DJhuM4)CNt$= zNrF257yo{+LRiDO<;8ud8xf|V38C};GNY2Wv0b$+om|9At^x3=bW&CDKwPFcTzMGt z1h)qpxGcETC#@gwMFNC+$(i0BpvR&BMTp}!k8b~~ko#Q5IlamO2yO-m*bfhfx!-9? zbBu`K(&HfD1CR#MCeBVjOU?#|(b2#T{|{^O4XGieMS8`*Un|Z%`>QNC)Ud{ZIQ5>w zCvSuqWoEZ$vlF<@bKnQg{Lp$R&%>E%Jd~{vL-6c6Z@(WkVB5?Q)fr#kAz*C2k1vb? zjqTe={c^tJTPBoA`E*&;!*Q{}0+5o-q_kdS$&la9#Wj1xkm~BT&V{;D9L@i#GPL^x z<>chWo3u;QYQ);o(ubX^K^OYOxH*(K-nz4WR!sxT{OfbX`4h-qYkL%L4HMT{b-j1G4cyJBo_Lgs%}ph3VxvAR^VOuk;Na0?8V>Its)fW%WkNASd|zy}GmKY=dU z7VwI}lY=c%!(5lrl_*s^A&SJ;2W-Fs1y3oSS;hm;x2Gfn(+P3k9(Kpr+fOdhABSf_ zi_u4<(={q)yPiOp?6JJ0S8!9!=b9&HjR%)I%APaAjw)QaZ!+Wg= z{XzO`*3f|3@o*Dj@-sY0P=>)0&)BE0I4231tiWrr`ns)ziTJCV0VxH<6wlDg&+5-> z9ChSVub7qkgujcfX={A|PEPQV9d~rYigG`-@h9uy)K)6ytKg#aPTf^AkYFbFL5Cta zGiTy*6CtkoVT_m_>8X(x@GnPdde_WXHWcO8qE6LdSb!+TREdxJ;jKF?LAB0FrkOMh zKQHA83@9KY-ZQ9=O*S>z+2DK88^ z&K#xW+b7{@kIH9V2-B(jx_jlEX58!`)WzhX(lj<&Su!zL} zj!rMP28S1U9P4#u%c`FN4c>zzyv3R%Mal+tf55J9aNO)6nEtuYE-6w(EaE6{Ct5qR zHX%%v5c31ufq}wMonICH#ja-A7s&fxlO$nMn{MGd26s4+ltANLk~@TNNZJ~h02)8= zRQtgWLlK?cnef|=#SN*UrL+3+_*#3v{!5^{w5xlaTdZ;PoWXtN69BeUBbw7=K@sMZ z7`zN5(i8bW&G3u*TMVFYV8_#f(WMX+>f0m?lW*~W$3?chRi3AV8)Ak=i+Fo!@=)+M zP@(~~a_ULg{AeCE1bN@+d2k&$A9+KO7Y`MNf!OI~p;@jkf*R}OZ?)bkx@)E#E) zuDm0^?ly%OZ}D5?Scx%ln61duR?S%ug&xAd}bs4@IwEWCUW_V`Zv&@heh}MAub>t zMi(;qE=N-}S-og9Gw?X_*M=IAlSHd_&iM5W^QVvR!(1Jo+)45VcPOB?A}t@!QXL)) zZSh&TH1W9=*!H~94iE^65ETv5xEegz?VhG<&FEBFy$ePv7&}w#+0BTYaRt^!#H9_B z*{fEgZ%qGMtX=6y_|M%%2q7SFkvU$=q+nGqK<1bq^q4!cEGB~^j`WHdIu^|{wLB9?xr4Wm?c8;Hxe07>=T zXnOuJ(0}qFyQQvGW1rQkZUmjRpJSpTtL#g9UK;~Sok@GtmrTm~Ou9fG%uIV$ZEfNM z#W=pqZ0;y)789{DBvIkYWm5{cCH{A0ZscY-jmGQu*ztY>R^ay4uAcM(=?MJEB=iv=IL`aqyCS%kFPF6(2P6Rv zpCYIedFfeF*;0fu_+jBS_xIT3RuJ=90rM@@grLG*)e)IA` zvaMCqkZz>cu04O-lh5TUjv-4`6ax10hm)1|M>k58#pm>Cc8Pqr)jqW{d~nj+la3M# zc6VRD0T3i#*(o!REB+3oSv>MuqWTUFHID_eKL94$oj#hOVGE(WlbMnJu=XC9p1O1p z`5_*E_bEY9%N5<}Uibi|8!*0Zd;8t?=}2NqCBgB$Tg<4|9(vb8Rvu^b z4H{HlRRNWM9z!Wb=?DBY2ZIvuE1(;Wu`p z18@A#fZ3243&N_->Yc1;0kRDqfyoPJB$-Q8vFrmI`EFvnn7HzYsa>vrD!9YbjSLmk zN3yf4HtclEWRPySYwne0e&EkvTzC5MWj4479>>pz$;_SFgq8G0S0JA7({UEwH~6J+ zcMTviNH5gKqu8KYvqFADqNWpXKYyEP*pv@Wn9NN5Qm+RcO}`F0)<>uKz@Ng%C6OY~ zvyfb`v6HW9HRawP(bmfQ$RSOGA5VJ9&mSIjfwG=C6wdKYJu_o|vL(#*$p}h=Z+ZRo zHIwmc`#$6T-!Uq4GL_wanhTl}Tn`z($iUtrTz{u>kzkxk;rmX)g~V;Bo4+X8A4QI| zradeF=(O`^#GjqSM>(?~4dIF5UCI5~+pG4*f$pTXwxu_`xPoLR&G(Lj4Z-vfT|AJb zfxfs!K=ezqkm}0D=*HskEUysPr#GapKZEWDT*LZ}p&!E}knhLs2Yq}L0%eBt7^!?$ z`>w}WB>!vok~$N0yUc8>>t&BZma_Njik7b)0WFodqmNJKsrlTYc}!7+Wzw5pHkO{U zcKeiX;P)h}@x^ldNJuO=#3AJO>5dRjTti!8qw#_G10_Wk#l&+tXRD-A`RzY+@6Y%m zbUjK%V>&bY8gGPisT5;12lkF(o5gQ`Y@-(8lu*dKtHU2(HKq3f9s=d`&I}eC%kNCx z4-kA~yX6sE#rXZs_V_`K;TYX$`m>{A^kiL~)G2{lyvXw37s!B*R_Vw5c+kPVr^oKU`_Y`T2Wo;{!i$$DA0Rc8l{K z!vA_YsBo$_@NiV=hsnf|J%IhbmcQ?DkF&qasm0)gR}C|lN1*CuNMk~Cj$*zmP;T;e zjC)RSXUo-Y9Frhveqfi@RM{9e@}L5GZ{#F@{}P{hneO!K-5`CeecScG`6b zMPL=Aw$@fA!_7Wr8BuZHiP##&9^XQ%a|J3V{@~dg(lJ%%%X~*nfkgqtfWnK}vKy5H z1aKe|G^AzX=t(AGL561&^w|7daWZosqaKsC19iyVaj%GB7Bf^vyP!kX-B9HS2pjN6 zy)lX187Z#Y4K`wYwBh=0chim3823}HS8xnV_EA3u?n88Vl0aRhvuOR_8YF5!C4#!p zr1b{;;67GSamaFaD{gfo;b(TAvG=Cd+PDD}_%*TFTl~U!_3vn~Vg_FS9z9pzalm`` zMmDyzKe6GHPPQ4TaHAXuT3!AF+p@VJr4mfY<|GG8rXquSXDh)1L>MXKAX*V7X8Zy? zZ^;}hm+BR5hob<`c@Q8mB1xlzgdkgrX>>dqB=bxOI@8|@b=b}<-eCY{&V1qCd z0xTN{hDApUgpSPn9RvF{hNr)JQMdSKZn%c{PU?*_&YGz+QQVR{ciIjmkGK;UtSYH( zLSyAXLcnAB4I}I{)addQ%>*_zH$(59Yt6@FztDe?bRSb5@B&`O@wR>xN`2cGVBh6= zPoCYR;4mqxi?Z(15c z%%3r6zNWr@$nq;^HtKH_F;=cwj5%#c-tpIVdE6>mus_k3jovz z{knWoa>yB|YIx^GbfZz6e=8>%+_J6)FMb=Fzx%|5@W~$Bh4Rm@ONW>+C{aCN=5Brq z>PYxC8S-5?6RbWyeiuDa6`SIx8k7#&yT|xQ-ESC?%~(6Xk^VpOd+3vg`do*55_tgKmgvea`!&r^NUNRsrx&G>^4#VS zDyp^JMD@MiiuI;_d=K$Z+RskNjK^AE1wF>&P~Zh<#z2_w_)%?su;@1mVavV}I^w-q z33QRANarWLQ4(t^#`3pPzm|M-aypgpIi&UwF*eHb*r{6hIK9Ff$KW(-mT2+K-E7kF zL%R_~eZDf9MKHjz?_>@Y;N|{3eFCK?Xge+OowOkU+8jbfKJ9*Qp$odc4+6wo0 zm^;j$08?(NoAmzTH7;Y_P&%kEC|vxm>Q?1_mi#O;D=^`>ZP3}<+HRPr>G?5}uYaoA z9i^`iCk~etSsYt~<8~;j6$vPfoMZi1IC0!T(KBtRtmxVspB~x$g?oUt{7L6ZPXF?)eVxVS$}H0NY5-HsSfm*uExLDT_Y;sBA^>^F}dYv}JPX%Q9wOYom&%^|*G# zuIH%EgS6qLP85v~^}V(ifg}dt1t-o0wv=oV@bKMXL~FZQVeQp^I3I2WukqJYabvws z{C$QD?!8j;Rn8_0j#>H}Cs#k2>V^}L`w5Z=a5q+nG+Gy(nQ9n#{x|)(h%cYruCNuz zF~I}hC1(?bq;zxO!hn~ISv4(e+C`hE!ZF1QSU|9$J>T}DV53d~gX)&+x{E^))UnctYQ)A1Hh>gmShN3-Oq5AmMp9ik9 z)QFlC`OumDAp{3D!JLCo5wJ`=YpWU1E(LaPq9vS$*lq& z!ZT?}#W=PaBh;mE!#|o9epZ#dbX{o#iwC&nBXNmc?7cUhTL&re_S@dhvxagzPrUyG zj<0&T-@vZxyRPN@0O)YyVIyko+;-pb4S_hNGtiNw4;MGW%j(t=3?pC*O{{uggT402 z=SV@c+Y+(z}KslAT8 z)T+gtwOp8dG}Z?;{(vkt21HtRF7G6$UoW(_f?Ikx7Ay`@)_X)nBvT)DgQn<7aJDaR z+06(8+!(Mtiqd`*LsQRh-485Pde!|*CeJAT0~QCKO8X~+e=!r%zzqU8u9|NCbJlOI2HcHW z+^KWg%=~clg_|3v861dcz|?tnQ!o#^9PH^4N@M&^-m)=YJia41KeG2DcnatdRIMLT z8UiiFfX6{<+BDq1*)bzl8zqGJs(8xibV9fpaOuz63aMVLdF)kf^2QBohHOih&(%s! zN8QGmZojF27HoFc${KJ54J38Pfs239n38`-&iWzC{$8|P*%rQD#GRij;;V*5vAgXTzmM-$&LdV$UN4%U1b?kQhc;>t{7f8o0LR9W>8L z7R|0xdxOB6nRa}y6nR;7@B(-UTvyjl%-)X^((MWqDRI4(v-M@E zsz1Rj_=ADJCz3R2OT%Z+hBt~L$>`CsW)8dgU=>I}JiaBobNMM=Z}E$0R^O` zQ7J)6q*GEwDe3MyDd|R~8$_g2>Fzv08aYCwB#w}fI=YVdJ$Da&U%$U#Z+B;B_t|}R z<~{SwY{^-s&cM(NA9*Z8bzb~+_|_v9)pY~XWl}>?za-{Hrk(O=19AMU%p8P#qIMKB z)SISM=QnggMCi?FokW}1XcroaO>w_R4mq{hEtf-ZfLQ8ile-63^51@OFM9wgJs~D? zC1?=Ded}w#dJTCk#e}c!3fmKu5@>~Tkr>Oni<=E9c?s=O;GlGwlPQln3KHq@hZbLe zV+80foBtuCn(Y$xbwEv};2dGM!yJ9Q*>bJ>bRtfkL7zydEC43~r5veqb7sIK%-Z&W zt$x?=!S_Ldil4LNi9EnYM`Oc0uWG3!2*vQhS4DFF)m@qm{n}5+wOAOapzlsCA-twz zd#(*l{a230Qk~>g^dOE1akli1y~)@#guH#NlFZ58&g^kn?z#vBe*pXkDt_v-C|#@L zo)44+WWrN!UtVv@g5hYgJ}f`!R5G-8!9;VN`7_J5C|-8}sRis_$#@rk>ln2Yv)!&O z+WS7HER%brRmOlv3+k!|uKqH@)2Du3WoxmZ0{_3HEn2)LJG~+rb8Rq*&eHFwX)Mh&(E_ns zz#*j0-Fs<1lujFP&H$`F`ZrB0aLlm?9m{+QQ40CKUXNv&n{ZOA2U83BR;6LPCom}8 zvxRqk7CvK_1{{vo>H;c1dN1`NbL*mPQF+hrsS( zkuXYwDb=X(G9!5Qfr1>Qr)4J@;6jx6eLmFzY%tU`4+vP3KB13Rfwe_x2MN>=hwurP zxi>1H(o?WIoxOkfn{+WtFcUQfNo#_j7JJTgJy;z5=H7&z_@qPukfzXD5g&o|QXAJV zjS=${TC~<=%-Ph5?5@^z1FSP>^&yg;B3k?W>{S)`G=MMvy<&anH-7^M_KCuu@n0v= zw20-?t$#4c;y|s7v|A~l9)q?H8!~9VfWFWX>IZZOp(I18){>D~wX~OjZn;&pJsGb# z>ZdDg#PtaI1@$z#;TrZ%d|r;VgXwZ!V?Mz zxmHSmTL6V(&b+p&2_Z7_?ZpAmAy8ppT%k9LKEwz$zamC4d`dlDtuXUT|3U$!+G@X; z?CSo~vxFypZQJ{`DA39U``*_?4;mx^KOPUiy>|ez3tnb5CqGEWH)(4=gU2PUwPcc4 zWKmBayhfsi==RAvR&8B7F2^~m`D0NYG=^bz3NtKvX!&!y%HED^+tgq%f9l#z$fm1~ zI;QLNJ)YdPF3}ymYE)AI0R{vm*j)$2PD4ovrphg&NHj#HP%b0k&e5}6=02Y8j zF@tP`jZ`rRhq+H3Z8v%QAL7WQ{z7QxpV6aWR~L74C+u?%3c&z|W2Td1Xb!8$3gAm#)c#3XKg7ccdnOnHQUqXg;a^jL0d|1su& z3mi;9s}5=i($*fEP#j+TV+a0{n`|%rtQfv5Io9HdMny~{4BUOR-Z;-a4!}`Y)+o&B-qtS~vLfGe$M~xQsINOW^*Vso{J3S3;(bwyD72nm-pq+x@OaK7kppc~1m?HT78om5E4IDKT z2Z^`SVroN|2(-cKH!%A5>toqYbF_(|B4dmsigtU|*GW1FSlfWBM_+xh8ezI6alGm9 z@9p*Hi5o|GlK~AH82c;g?QK&y-9}7X3U5l>miR*(HXk5nnHaxzG%0%9**ArKBG27M;C*)A#>mlv!6#(mqN? zK%c&h(9MSY8Zi#E_1yf}+%^RV@D0F2zbRI0*6@B29EcjKw@1xB~gIq8>cqNml)V_B(X^oB=0YOOp**U}*&rNL}4koa{ zlG()HA^ZOXas^29P%m;IE~90a>@7PCIu#I^qGI7y^PK79A9yizZKj)w(bD`tg8T{U zy#SIl+H?E&ha0px*HD(=^hFnPL}6fQ2!y(vD#t>7?``s~UTfkmj7Mh(&uu{xwN%ty zRpMBQOn3a~&5kA?q;qp663UgB>4`e5I&TaOXZ36)%rk(k@B(#lM&dkPW7N&&%>nC2 z?}x~?=$=sitA-tmIb>|5POE@t2jNijA64u+UOI$AC#5%HoO?p+W0|{>mNXy=06Q01 z9HJ4fwF`ADd*_IT@ho5t$it!|p^=4T+H2Hr`hElq@+J`vkOWYtF*NwF6A|U{5zr6X ziE~_P!e+^q_BO^^0m&UOkWvNH{Is+bEjIRatp_9l0Qd7LZJZXJpl-VFNF^YW2}~*3 zr}VX*kDKP5<}47$#qXN7@e2Ol@PNFGoa31}2zd;$Oopfn?x*T~@{{tQ?IKwbiFjqKo^Fm)#vN#mwY-^lNq zT;p==o<08nU$;}r=-rxK?{F-&AvCx)}!qai@o53<=I{!{Aw~Fu7;;VmGR*!=yj$5zLvl78fw5D-i^UqfJ z+%9N_rwvWJq$_?I>9hoTjQF@3q|8vAo%weH*E&kZWptf}^Imk>j)R&A@ao2iR}Xg} z0DRL>LeNT!?VQu5nUgFRI}&a1eN$BLLzgnuSt0lDmnC~wiq#;|TYzALhC-ijrbDYt zKRAFus70OUZcW~@*8#!|NTLcj<%L$UFylZ4MYOLCAC1wg^P;szkp^ISzYZ4A2StQe z$^G+#_GfGdh_NxS9KhUTY%0stZH1pv>F(}t8r5u^i7oQxjIe-p+5J3HhE0byl`h|mH6Vy7V zejx?*;s)iI#fg{dj;@_cfE5en05Tfwj;zN~upG#^wr-!~;y&1;wG0FGJmjXmM%K>Z z*-ia2v|J=0qUUyyn$!CAS~)*gigB9>(g1Ibf))D9=9Uh`qi2TimA}HesjEF;BrGrC3n+b z2XxVjCh91It{YChz5aZ{AppjP^05lAe8|Of%xD)p_)mtBXE@C z<8liqbiG-kA8MbQKGFF>4mdV~&Lg5)kCqSJC2!^k8Zkiu$1Wi0(WMy6nHb>w2aXXe zO7}-;=7TOMRNd!knptzv7cKt+oIsTD?_}P|M(PNBzc^YCXwLw4Crm8j*zXtqCJwj; zQMLqV!xBNYh+-CixS^o>#epN`tfjv2`}qlaW#%EsKet@#y@8h@;v?*5MW9a~ z1aNH^@+>9P1ps}t;14LJKlUNLust+&)E4TnEc((5>lu;P0Ttzafpg@L-YIAmhp@FQ z;n?lKk5?6?_Rwnc>p)+z;S68tp+YqN1Z>zcx3sBa>4_KDzQIy{*<3qeBDvrJbGcl( zvF#RVlX+Ke=EqoX;4gBA<$3xboCrS~>_n2H>r9AC`E zd6k_&k=UpLB79Rkbv&%$h~AUa1klAD`1H3)Pcb?;@yRvJU2tyb`y#5vev=yj)=>x4 zdlYj$v;PffNFCa!Bbx|EdR~M=ubmTzpw|0(_RU{VPA_O5E8xS6y1E=4QMw%%Xf=7g z?04K0!x7>5#SA1eC}7IszWo+dBp}W`wG4_Av@?8w*&2Z6w|VnQe?*Ez&+TL_hSx+@ za6;ABhYHs0k6u%&I$XL+XrLV`CLJ@P4QjdD%oah>B+{N!5a}mR0f5CQ2aO=4fx{)_ zDi5&ffz|=Gt0kdS!7m|cnb+;NH*wYlvIs#(TO_CMDEuKB*F*uj^+P?ur%&+Fj?I8n z6lp(qGW*cZ0S6RvWSpls)2D{sTR#GHZ{Pr>P+hHOZP%4_pddEXiL{?PGKqP?rHE|_ zY9Th~8a6G>CV>KgK@tF;fR9WjQzsc>)+%A3@7DbapWRhAL*)vSg+6qHQ;=r ztOUeO7jd`XquM$D%&<j^hssURR`QL)$%KQh%!B1VctTh0Q#L;KQL){-Huin)^vbq;%ytC;%c$c| zc1Geil)N}19S>^jp>SIG(Dxs3;A1D0X#gre4n>5(w<77L;9=cY(-Tu>)=?YJT`x6a z6=L$Q%nu5T(~`%^O=qUiU^Gy0o2R`8{Cm<7|~3*&$5VX}a6p;N9H2(+H2>VtZr zY`HDcbNL=qyRm}r8>~=$h7=;NEI35!U0X;OgnT>g3=NHMhPqC;mWl8z5V)*5TVdM4HeEn~GnAPnBxVOR2n z%TU4TTM2>I1oPV{&x`4sgkucBX{&oh@AQnqZm{j}+;#O|rA-qXNN24y$5NX&Wq4a# zUcxtupY$x&mcI?poAN)AwtdAWUv3JV4^`+6{0is11OxXoQjJ4_*ElH$ABS9c6#68^)$FgcxQPlsb&0=n*$D z2usS-F#>JEQPg0>SH4Skr}pc56Kqvb)IxDm{o!!+w|Z~UMeW5_gOuTd)H% zeNGELNAcx|To*NgP03A15ok`0a*gaw-dlCu{0nbZOxog1!Z9syXOfv_ksZj+&X(WV zi&RT`rYRj*6V896H!9wShe0BoVD(#xYfxk9F>1X#4Z|sfZ(nQiz1cvpair4ysKxLD$TRGr0_&yq8Tu?ahp0o9`w87WXWIz zE~?>K+_8gYBX4Av1KAtiq`qvAXfFxPcU*Mu3V}=jCo++z-bHcc7+Y7SfmaRPc|&sZ zFeJSdvLDN(_|2$$9&l6Ka=9XZCg=)i`>5Ma`)A9!XtsR%r`Mp}uDh?6@O5c=qVl!f zk(s!bW#+idZ$`UmY7fYhF#nLu zSXT#~Kjr2cb$u>xt7xb+qdh$>c&?6uZYP8|o*ID)zMSzO4&9+F@)xL2w6eedT;pqW zyW9s5{sBM%F6Qd(-nyDs`~a*})|v=?jPOYIsDZk0-P-el<_`}`wuI+<*i+H;4-G1S9R_8VVrLpLAJ zN`q5#CbM6DtL}a}F*3EaL84i0 zUUaE$%`vLCWIwL)_n_Xh{1b2$pbYuiBasOO$HFwqpzt--Hg`^63yk$7mfKxg75`(!ymc%cY9+dAD?AB|J`?YEkyMdngH(HjVdh` zuEIxn*v!v2Hy|a&^AVTlU~lTRDqC$v9&+5UM{L+n82NKOTK)3{6otv&sQqX5{B0&; zk8sr`r=F4}C0mLCuzn`{Q*OL(T!&17W1rL%J-^#}!)J>0CMF5cTL@Qqbm}oZD|`6@R;u|MH7(ObNVjcw&T{Kt#(wY0M{LDB11{lIcC5AIv@Hjf zkMN3_5+Mf*oy^FKo3DVI0M&l}ZFi2}5ZB;sK>i2H8|N@h-mTV-*{ZHq((!vM!h#(w zJIB;1ce+}!$B75{!jIOf&Gv96A6+t)Cl~?Bx!9b2$DjJMFDOn8X(8~1^M)}YB&s-r zfE&Zx2v;eN8%VE+b%3#48FEH`UKB4WO+iV4ODkFIgm*moL1d8+ZYfhLWPDTL&PV;Q z_k59W4N*7T>k}y9$}i*nF|aY8*XXBAg*MyRDe*-7L)V z#*FWD9Y#2AlLa-UbXF26vuIk5@(`ti?_J7{K-r3G#7N#PV>C`*b|w5q*G2qM;w@^o z8Eyj2%{I;BH@{7(0JqvMkLu8p?Y!!qr;{88o8pvW<9tJ4Qy`VdciU2{ag`a6lCkea z(O>$(VzT2mY^FAlnca4Rp#ZGMXX(-QGK;I11l-in4vZI=;}XS}&I z5r>GjJwO~9u0i#E6i>rXi}%|X^mrcjf37`C-J{so-iPM-Jx3Og>`8dVp~@Y)JyGmm zq6A$HMPC5TH{H0ZgUa~lCTKtR07^n@;t=_rz!LW4{5>ztEvo#M zUd3;y;UlIAptY*1dTH@#FHhKkNQaaVO3!AVXijwXQBw|Ldd1_d-|DV%Y9Z#mCG90s zAO=VTCpjcc>Ct#*%R5`$R;6m zpO^KI9d(yXZy71m8tN5_f79!p8J9sgoR%Yk!wUdXUwG;cKUa{a$v>UwD=+{bAj79@CR`nU!xPYOGM%pxuzP5QNg$K*#aA> z@9{D=!}`q!Y||hn&8tqs>6P`_?4%l)~8YN|=%%dQN)K7k=rEpqcDuMB_%glp3=*^$X0H8Rm~-oLU}QPD zCZLZuYb{@<)I9dBy%V9_mSjgcC7j?x&&|iSQEoX znBfC;J;jxR~A*FjG?SB6@NP1oNX_8C}S>Z(P<&=E!`Tyt7D<5 zRD36qvLX~t5xKB}G!CqH&wj$dYeGV3A)e8Lg(n-v!iM$ap=-KOGj06eLAtTp&Cq`T zfe_l1S!ku`zGVlM_K}P^pG8AAuWizJdX>iwYl6=0B4>;5&ae9vf(Zo}wJM4>7rudb=-xZK~} zc8OszuIYFq?eDd@b3{ciGW-ByN%;-vC2xY>rG=`81D=N=#>9 z-ow(t(xcyIXpk}}ym;i#lj#ypDwyloxu{wrag+O2HM1`v;_K09R_*WWwi@k1dRNMh z8kHCmu)cUZ(4rb6Ba>T-mQps4XpkC@iqr=|Ct(a1rK4Uw}7 zKMt3BJ+{W?Z!Wn3(XsU!`FatStidmQqa52R(o(jAu_+bTR;`i+>^{T0Cu%yxiuXAE zD=@XACJG&SO)i4af>$nVDE2Ho4jUZ)m}6KKy}|Wol7u8o6Gj{pO%se2kha|$PIjC& z)MR5P*+BqW8H!yjPQrU$hSd~oicA;@7_f{c{PQj{eCse4TnJB?OTu!bqjx54X&BR^ zw>%Mi4la$V?mU8pnpI#q!Tk8IEZ;KiSkc=TVMY;FuQQ=*y{@!^X6hU-h$4teq&fBW zT~aFul^?&j`}n>NNj`6;;eoIWJjVpx9G?p2U%SYI3!W%$kSo*|z}I$k;7+2@+p{N)xpYFLA$7RbS1y(9(66-20qOoTC;j z7mKiTCT5fSmfy)bw$>3!zBLg7=?zzT#K!Z|#p+L>7JtW#wm5QiQT!bn z6DxDEMXWj(sIn?#Wm&!ADv7Jq42f)td2sIW?R9;M|D5=Zib?Py_mR?! z0Grg*r-0AI3VdY#Ju8-XqSp5G#LyIXizn=vt9xh0Z+d|g@jpu3yBhn_;)$lWs(oT` zw6FP(Jc*^(uSD;W*Uj#6<*FtH&CnCDj zh&X~z%B#{?(-IZ8RDI-L1i#1+<=x1pYYdU21;T7O6XPE8C6p41xH=UL{r8uV7)Zf) zIgdZBPOZocY!_5KxL%7pYZEtS3&hb8#%LyS5RJgLYqqaR7w=5>7(2>}Z`Fi%dkHa4|e*Pn`=0Cqvvrd6MuOA=_G&m z{Mnq*CsH%?i~w;G^4D;_u@Kg^4b~M ze}A&*K^Qt(u=)qG_{6Sxq>C9A;j)qvx_pd)@XpdM1srpT=b(Z<7H_8cRyDWK59$K% zd4L`eq?7uxshj%P7AONzKCPc0cSZbl&yjx#>^vX_DD9U_Hk;;=mrY;@PdWPTAzafL zJ$-LERB+Dy+cSCQmF3$wrszne)*%N{GxQ&~aUOz^I=$f+2Um8TiWY}pU{le7dR*EW zZc~^qI!dbM$gI1e;fpe`blSC|=O*J;xsKESXaE@Z`#OARhmX_?!s0H?Wr}yt%|>FsZ}_N@KLdh?zB8({f+CLG zEuyUofvwl~zArm8cu48-X*$;UK-C_*5V!V$x^?dP8>>Z&5+D{R!7K9D-8y(%ewx^Y z=-Q`vb~2tP$W&dm=n5%R^Ao2sLivo^`ssYDiYJ)7GCkOw{6|bGV{fXpDBn|NpT_Y@ zZEs{`yj(Br>i=)xuFqkjN1S#JH$k&Aa- z!CJUjo88aaS5KV9ay%o*bWrq+hb-k8xAUO|cqI{ScSba$r+)X<=Mb8ySfR+Fw!VSZ z>nM?eN-6e--d8$^0;k?l`$YQVM(dQ-cwx(dJ0pS}fg-(8V+vWUttfs;ELT^eo@^U6 zWS^t>JJL(Rr&Gopb{%m?5e#|)w|ZRObLkBhp^5_!EM)A<3wKd%U(4V-e-n>NT&9Sm zkb8b-#Jw$YscR|E(qJ6ydyC7k+d=lc!96tI5XHMw(8AKwRzwS@fyuI_oKcX~;zGF3 zh?pG?M?V*8_GPP2mgya}s@Yn(rA$JYO;^KdLk#so-hjQ|?95V{&s1cnlY$G;NnND7 z6e?ViJ&bxvKC@#{-r;ku+F74z5+4JJrNxYD#57dG(9g*E>pT_&L0zY55vYOM0edIE zGer!GqbR^4>A9rXj5i#A)(coQ;E@_>xETcu=4Y~kYs}NWl`fpIWQ$!Wb^9S>&{`sf zWA3W?{aRlj@`h0U8 z$>lb=^{(#@gMI@a(l6RX+hi3dp@^j^Ea?mrjg_nOqMD~5nsTg*^l3NYSys7?{7s&Q z9AmX%8qXm#rJ7Ot}3l6P>k{J!6g+96SLGn${QcfeF##0 z%fOC*Ru%#|>7EH9Q);yIL>fGE#(2NairjLqv_bW4lsN9z2@q?aC<5^?OmrD;ECGMTScZD z{u(S7MrCgh@D(*}pU{^tE~9W!1M)#^Lo5|#NbUUD*7Jd+6SLlMN&yxqmt8jNIx8x3 zfy&VB3G3+Hy6(U+6(C7U?VF*B^d{4&Pv{c)x{!C8`JLhnbr)2I6KpmZ1sVcDV z>#RU_joLDc3bsTZNd|RVbaIe~_Ny?$yQ4&7kBg&FnLW}x_Nj`2*X_(UAHDz&|3F3J&R7O~;&&Y)-8=aC!Q1v(~f=KBPOm5fA+4JHCp=rNPG zt=yTJ*L!Hyl#gyLkRp_6BjS0kiLMNko}1qnQxqblCGB|?g%{jRbX?J)My5o=D`c|| z<7b_}SCOtmszm#Vwx*0A^f)q&A-!TPf>FdKuNrHr!p?}}Wnolb)Ndh1Pc_);;<@9< zGsl5H`Ij>|E>D+MXP#+@9?Bgl(l0G_iM)l_Gec4u8Jf)YVVm-_emP|}*Cji998*L% z-(|M#`iIT9OFees?_5xoj-;B`7f}~?FOQ1LqAn7EN+3tiB>|#t?nY#2cvwMI#r~;? zo=R+OiC8?4z{hyg5mrA{Ne<-_KA>n(B{YrR5Z(9?W$(yk10>ce|Kqq*Ofgfjko&C= z-FByVqR46sm*EoZnwD;SDU!`%IL3a+eN?YF_6U2&bDZIj>4?KB-kx=e#N_xsBnFj_i`PzM z`}XhFNgq~pYByE#j9A`(mn1xLaZ^ya>w@P> ze6{ZS-}Vm6eCfw*hIP_S#!L2Fiu;o!>fQZ6FT1zRfb5di8jfon zJ4xG@a!VIL?!TYKi^}HJEAXYk{N$_bpD((y`X|DI>jNLJw&pvlI$n`A35?aSU_S)Y zOa_T>mf9edl=^_AfIw1Ahy;H(CJV>Qqe39XrL;Bu)$I5k>@<0&>+(Z^iNB$7K;pIH zfnK`-$zjQzXtOdlF7_&kgp4LwDwlCl_nm#I2uXutd?~t@L7`OV5vcG*twojJ)$La>n~Z zyTVb}9mRtes17XZ}{1l&638~2O{XajTm)I|2V_Z+My>dnHvqpkZ)Rcj(D9A(p_@K?#sYoyOU8mtb-k|S_Zc)maiAPS->}cJSpn%p*W;x%rwSg|rxsYCCIj%d zAvSk>`!gkzJvcsrO#3Qq!6DFPrmEobhyr z>}U;e6tm-%Dh3+MtLwHwLf!@~hKcs$=&1xM&M7xQ4hj1HErLky7Vg6%VL|lNvOf6+ zR*D%nnP`4=QbMhMgHQ}kQJ(g{1zcv2)F7`b%n>@45%>f=3?Hd2B|+1x4^B#GKK2gx zhmn*;uzyS1RE6}$6y5?Bam-X5yTctR=Y?tK|EM9au&409&rJ&qEbf&nKt|P~2Ws2x zx@nHHntfvGVj8l4R)YQ$Hod6(gRZ-`;{W}GBhioXSnW`YEbCpprn_O??}VA6!Y}GX zY{!cwN;_sSbiaHWyZRcIVi&JLkW8+C`QD1pU^T!Gy62Z6<0Gsjbtfe?u7X9K7jCjb z8e6XhX;4F&jjsgoT;Vu}u_fi8xWjDUP8TySiMnDUW{N5fgSgD(IFDs~M$bgAXz5Zz zeuhx*osxPqiiJ~;*^3Y_jhEX6>lJLJW4k0ug5&Fgt7z{3Gm|9DX4m=0peye2l6{ZB zpqNU_*Dy#IaJ(E!8^C$Kb2{c+Il@*`Ujav9pG&_&bBi9t?JVp_d{GV&=audG0<{WQ zCee+xz;^WnxNG_C`E@e0^v4S!^h}>I^qdi>e2jHM@#k2giTphnauFVfZmZltebwD| zDf^G1l}}#3LdUM>1slJx6~DitE#w3)*qT>m*?LTzkosXIn^evRK^(18izpj%2-TAx z3g(-*TBlq|Imungw|phjdZ3(Q9OzQ*c-V!)HY6dQSNXw=(sj`l67HTy*K@HJ zXqFyu1i5IxAUs*DT@m~rzrL&Jl1x<`z@Y&=axTa28@NDE@xHvDCMng*TOLq>nY@;^ z*aG-jQbqHFPX#POiICzT%}DWA>*0JipFY8cnCtZkyzR*Gn7gMBJ$%qW*vQm44T~ju z(Pyr9Mk;e&=1T#I#DP_>9kd zw`rT4RzemTWpyB5cWJq$fmw!igatIWeVKx;t*I>Ud+^LS z{g9TsmDRBfXjrWwXxqF>B3cNUDOxOl(B90;Qdr3cM!jEkbjW1N!fF}CM!^14C!^ZW$t#wE z&q)T&?Kwu1gmLuY3*cDOXfT?M*FrmnW}gDN&QT0*pFFWog+E45x>|$6Hqhkq-b|6o z^|U`yr2_Y42sqV%W(;c>i>To1PuCneowf>P_>tYPW;B09nhCcODTq8vS(If zqLcWzkfIoiuij!LroHjbOLQT` zrJ+^4P&^66-YHd&9Lon_r*Ork7rO}2U$JYvdpT2NP@di<;Mh9s{oSd%k*23*{pJR) zH;KT&Ad6AA<K9f0t7ZPpz?fO_1>AxaPrkF2^!}2~3~1Q+G&{b9W)tzu9c1KF#ny zwFvbZyFCs}Zj}lsiu?peDpuzc!Efv`aEiRH-Ga1FHw+!-IwVzMRi^=7>JsmMg&8o4y%!gqoA~iE5uQ&okDl=}HB&;L@U%s$ zn&hqGTMjK9tAx{(b@pHK$KG1l&N{sFZk^RxL7(y07TobqT0)N~y9>%gtvbdc=1J;W5y8;L)SAkrKg-Fp2J;I9u z+Y}QQ`4w=K4V7I21AK54qY`FqrIIblJou*Zx{5abxJ_Kz)+~Wq$2hvJq$|94#l=Y{ zRHyIg>n#XhpX=-j$?#IC44QB@mD{Z;l3~pU@~C3F&g;s<9*%9NG8Oiz^j{cLv?|SK zuJPcQMKAcjOy4r81UVAj&_e8-r~c0VSGh|7Bs067=$!XWC-DWnq8Hbb;jo(5G@5{d zLsla9$ii%kOGSljn5I8b71w0GcW)~M_=CA>V7ZgqC8jA&`r5_ig52AgsQcU!(5QYn zU|sr-v&`k*ahI6ufC9SoP(TS%YpGN}A$+GN^^Z-z`5)#%ZTk`Z%x*o{Sn7}7*J@gJ zUd8gC6G!!y^$a$+OF#avBxkp{IbGZ1sTL{(Qy(<{vl4FKQWn)LwDMF_=nK&&B-QQz z*N?^bW}`=ZVo^h~lSfJR$(Lydk>{=qE{Ul>Le}x;niuGDfxS?a`okd=tD(LNps54W zToMtRCQoBl_+ScDd%(ldC+gD9MSKQMF|?x#!#DSB9x-r9^p2 z{YiJ~c0SE%^hDnLN#l^5pW6HU)p6yi|5{M`((Apa%ey*PlU!aH{Y?t>*2(Xv9u_p0 zeD}t%sZywZ5%rBmM)9;0M?}nzaq?-G;LVBe9nRko;Zcc9<4-#Tu_g-J&trM1hO;ZN z!v&%%scI**%D?lkq{BD1z54{rtV?JUOhE{YrYxU9-&ImgUdz@T*LjXMYSYO(zVbqVBxF9wfoOwDdcfRXIz*lHT|K ziM_bd98($?f8K=R;QGA0!}=BOdX$#6BSgoz_lRr!=}&Rf zgI=y(Wvq-*lh+ul_Gg3nim-=lj!N3^1&_te_sd2qIHRp_k@2Jo7Q+{mVe83l(kIfm#_h2j~)mQ!((JImB zwr}MIRfP+F_^&OJNbV~bM?P;EScMYBrOKno04@18sIz*nInuK_ZVk#^LHCmTdX}3? zOVjC|hc0%zBbj>O|Gfrg28fialO29umh_4}*)k)Z)} zHvN=V9o#~B1qkq^H6Iy zDN}Sl(03*K;1qX`Ydv8v@z?NDn_dhQX(%6D3i6bD`92HWXB$Bf%BJdnNP3bYZtt zJqwt%D5=gp9z^d!DbsZ+guLv)1KygqxmNUYN7?Fr>&3%X2nVyDIxZa^hfFyA>m)x~ z%cY;1pXalNb>f?lh^X!Rf6+}j`qP|uE`JrPHY!Nv4Sx@@t?l2rR7=U_iA6VsM0<_X zs#?EdbZ4#RHW8=VFU!d@p(42^%TQs8rR%^J`2wGgfWvIf`f9aFm~y#{tz9}R&}ujO zT#h1VPn`+q8k5y=IVP~3!(piYAz146$h#iH9@|^j9B8DDn0;|LZB1*nq4gz*>I&QU ztJ{NT%qjS_7T%G#*^}MEV|b`TcJ;TYf9H+EkXvj|#gt)Bq3jvw6aS~p z;i4;FPxM#w_uXP|d|l|$oED=ys=1enW{~T_VYxoi?Y7)t>#HFDTUJ~2ugSekEmVAy z?%cp1-a`m&cr3Y|?fqE4yMw`THFpkENsINnu6tnyd}BySQ%{_1?Vo@()FW0@HqKfK)2}83Jspdt61*ZCC;DEm&=az}c5oLuP47tZII`m8EpS z4UOv|D`0RMm*CSceez$Gnp3TEH}^X!C(rHni2jl+!H!QLYW1sbpQ4{<+%trEeHv;N z*ElZCn2+57ei(VzY1lJM^%vbWqRe&bWBOzPTWhg*=RxQf>VbyED!Z>k2xj_N@!fYH zg;v|xW-`v~4j=BZ7^1dSW=01H9Dit8)%lt<_gWmwhcO}%9(tA?-e*IQ3YM!27$BAIhcrQ-uTZgC;-^lGbw>#wBk=GIFAI)NU zXk^YU(Q zOJ{46ZVZt(CS-6*1o*D>SDdblmJM$ST_Kj$e}3qQZCMN3Kh@tB zX#BErrEd^u;9QcYXb(j&aQc#+_WYDE_iNFvACE&MwbzXI`-@06IMPp@V z$^KPi=wQh2g5}EZ^4uwX?qIdN;cVv$6Bg1UzI!$y|MrMvrS-!8%EaUH>LU6)-1mc7 zSoB5O#Q0Y~1pIOyqib?K1S09Nd`fY(Dse?WaunolZfEA?{Lb9i77zH(-oyq^fLD-# zn*sHos3-&1v$xLX@9d17%^A34%w4Tb%~j>47`WuDQ9lEJ-vTu<=BD;$K>aIoJ42DpS~XC zemVF+`@<8BPfmM}b-j<0%n60|p9F|f{%{&xG~f9%!?F}9L=26HHKL?g{qLmV36$CN zqw@%1p}%oMx#=PpX2gXN zRta?>@NuMT^fplKTzqWFUNkeKr*IN3Nh(P4BqRBR zu;cRUR6|1O?-Qco1TD;O_o*a(=`dK?h!}9a%-Dw!KDWE&u})#(BT0#A$e|CHKAQEf zE_=xt{i00eWuDX%s|;=?pX*>gWx$Y?#9Ei6Uc(}3!>(;3s>dLl$HIKZ8iMU;#54ba zH0Fj30|lvnP3FD$4<$w{`L|p$iJpGscev;L-gN${AP(pIA4b?SH&nR^()}Op;0;LL z4G8SLOQss^%pl!MQyHigL;VNqrZkZy#6{y;)_XB=}!c07ZM>&J#g;&JT5MpB=Eg?`{Vub$pp8 z(!!H?pGV|>mq<7}ocsUSdhd9u-~WI7)xb+$rIJ-v5(-%faY(~Rk?fsa)-f}VQT85* z>?0JivWY|XCOh+F%fT_v!7;wi^L!rf+vj%s{r>27bDitD9_zYakM(?Z&Lz4A*@w}t z9F&)?=SE%5JpJauSQJYpYgLGRbXJ@074j!f1YbP+NY%kg>pzno_gUlfy^L=v6faV; zr3Tdpxh>D_TzW2RmEPUgv-FP>?|sIU&^xl4X-U7Bmr9l{ZHw*GlKXx(2@{N9@P5X` zNn3Kdgt6q>K!mtIV@sIP*CMUF`@>9_kn_zB-;J#W%g-S$A}%AyBqD$>%bjtuD;G1= zlT-@gX;S~AW5;EuX-8AZSaW&mA~uY=d279M!)#a9gWBs~=?LU?ZkjO40zdhOw~hEd zfA}RUrdX-yD#LMkCrGKuF8y6)fR=*fV@YMEo3%Gps401c&)>Co)8l-twZCgz*FTPOgv+HAf z`Hh^*2JP~}`AsT1U(_<3)cywamkOzm%8ILrKXNN^2;C%`m%GB-95nN2S|x;=z-_^8 zqUQHa*-W)+(0NdHS$kRR{3GG7WWQd%`BDmh?OS?_HY6nFY3b9{r{Nv;w6~Z)U+X)w z^mkim-)P@?UqYQvU0J<$nRDpg5YM;5p@nR>?2VzPgJVOogHt)egPwx}gB3Y0Ip~20 zZ{pwhSI5F%e(tY>FUCq~P15Ce?hx>;&2Riz{_219f zQA;XV{haa*^@!ky%etZP%UT(SS!2A*O&`P#EJz?kN> z>gxfMt=#+szLD}4+?d{`9=a-b@olfCt%YrC#kh&fK&mCHab11w$dRvahHu;FZlnIb zpMrfw!yDwGE$2*Z%u`$*O1O#VzrDY(Jv>^kz2fnEkDmUkVxnSbXNFtL*6!BT#qg@- zDhEA`{ukT-Djrv$Y+t(QyF?&-31_H1sZ-@*TK%$eEWRzu^a3xp7_b*!C>*i2z&*v? zf;Wx#RyQGj1|j za&9%5&6rJ^$)exqov5;tte5&MHoeb2`@}8u4)3s5a_#Q!<>s5oH{~w(1q%lA1!KiO zCzJPV_rLp6rkGV}y>@4fCY1tC0snyQ;9pecsN#&}f<1lvd@5BkVJ7uu^rqTRIyI`) zto^LvFSSZk&&QFtTQE)(?98X=czZSZOJ6AoLS@2RLV+b+B_So5oynh8_3qs~cUi>j z(P(IKb@ScP-obZGkBbe25@+L7W41U&@8jiD9a070uc}5jpLcR?dT!Mjyw|DM@6%1w z{a*gc>C0lrzWT3kUvk|wF@<+@V6`pq?)PPWWpAv!xl8Zx@_SU>G1pg)*62%2FWT|K z=!VjUJZToaS81I+9yG@NTdeZU+ShN-SruJx(ktdG@;pVu7i?>HW4kqD4L!#`l$w3- z`fS~+(WNmxj2WM(VCL4m)635~&QgqWq%e_dkN70MwviFNU$SNq zomf2U08GPCZ{Bs3vLQH~2C1}wOqPmuUjF-cZomYk=#EVehB@Z**TC1Ue~oS}di19J z#ji-aP3;^MQT5PA7?|p>{Ft-Las26(HcLTZy-&_eE)mES_=8_Ue~mF!)MF-u5IdlW zDom}Wvs>+NJBXgfsEoj;wX{iubE+;es3RYG8UQ}e5z6LcKpMKu{o}e zccBrk!WLn9q~pDo_87J|*0REskzQx;ep`h9Zz3xAe-lwPH#;E5)KWIKG&6Bx<5zVy zb^T&h5rMnlKmBw6|7j|514vBpe<`czJwY*%bNnyVo@m_x zQd=`6BO5a|?mPT%Y>X_-9QmDIo53C2_*D(vfT4rX9XnI=Tcp(rw&w81ZvcTrg~b8h zFWDd>FMx$g&NjwCjx2bN|D~BD+}Xjz%#n?lQ9puP!yQ!Zj7-eHp(8P&7QHJ7?v|2b z2Dkyr_OS`>!SM3_WkFx5dS9qv)R1sc=4_u zqan5^i_2W~4dIR^tz#zL;uHBI-tkF=-bdro807K#qBo({dx!Oya6ICDxQIS(_0IF= z>)Z@H-eWyJJl>C-?*+aYCIX8lcpn`f*GV6DN*`5AACDtV4z19~$r!`d{l(p*dA(X` zo#U~B-RR@#-eaA}Blyv(besp%@fI5RB@-l889(29d=z<%J>ESG0Vo5EafG_#^+*w~ zKfT8U)?UKMk0Wh7zHoJKYs+GMxNdE>_pR6Q-q98y=c@Dq(nGq)OZtZ=a_$HtwoWsv z>~%EJYuLGGAze_HD(wC0puQKm!82ROO4u9OLWM8xS%p$Cp_RR)i|WuWQ^XBNF{}@z z7Cg)knrd0RQN2jaKIZ;Wj5J%J@qxzyzEJRJ!|=Eh&G)xZLT9sX-`mzO=D72C6Sh=1 zd$a|c^Ey7bc0hf!q*Y#*itnvHF01iAnqTZaUiIFuJKp;QD019dcVK9xu;)c6H-oz$ zjcshqW*mE!AHX}Y((714`GK=15*sGU$hty+ANJu)_Ap*YHRFaOmz9B%-uciiqAubP z>A61=FuuQNaO_^_zK3l?06koad+x?Z;;>B%lmzE8{MVvQk{m2(u9DB8;D=-Fz*zXBcB~CIg9t< z9>(qHAc<$}{_%ThEi882+Ph%3(4x2Q2Gh^T-bU|s3vL1A_L=`PCi!y%Isli`*p8cV>##%{}svF;tI%c^c*HP3Ee z(g->}!q(Q=w{S0s;p%Wa$o0pso0L5arwtE-XGIriq*A@%Y)lR_!d=K;=qk^*h))OM zn%)7TIud*zk=F%E=V&xM$Pb?#By9Nc-M6SYcBkIrIuPEl=;89fP4)TkNHx+92Xpc6 zoh1<0u=EJ1xeC^p)jg`i)1gdz(XMzzr7znX4Uf=0i345WWy%WIbuL9G0+v!P@w(Sc zbHy)sGx{phi1IG8p||vwZX0$T`k?#0VbonDTU}!vtvAM_0l!gO=k8&+&|I+_z_Y8N zd~}|magg6fr|T-3YKI-A+frSwM#pj0+IlQx)i%F1Ej&!Mo1>Xi9YZi;&ttE@zoM+Q z!LpE5iWi!?Hr2>HTRR)`D@J*D;f93Nd^kQ0>yIXW%qpF_9)8PfMRgxBjUO(m`Xjuu z$1(?w0^l1kk8Yx(dmoPsc2U#19AuGLX+PMiswJlR;%)ce_-oRub2L4LCDW8k)JSY9 zAM%}6sc0vh1#1-UrXe}q)ysw+K=anQZ3n^vwl@51_!`#n+r$O%%`k0)uqm|l^SzHa z^VX!+B+2x~RvKeVQ)K_titCnZjOMe4Gn7jzf){>bf8xu*Jwoc2mBr%HnY@*~OAZz` zII;g8xHcpzM`8cMCYRT+s!jt;mz7D1Fp2b)KtDb9*hm}7nlydOfIIsTaxtr=( zDDb7_<3`i$x?9&+nfCm+q+WSov^mkA@H4k91v1rN)dyX{%ftKCH#LiKm+ODE*XCUi#u{ku^MxsY& zl7LsN68Sc(%Z~*2srMf(^QOMr$gBZZj~($$HHO#^0zv?^(xm4eDoCEX(QgrcF$C$l z1=l+MbL4vzl^ZSh%j;G@d)6UooR>a8F zPz<8QyX{Cd@968Rjhs4a!h-xWV4c9)`#nDkW%6d4O8g=2M#a=Xsqcn30GrG+k!|?FWEoszM!E2Csc5G< zp;L>}eVyXx+)Zn3_x#5E6G$YDoT9Hh#iGDaLoLTbM7|*EK0HtlTg!Umof=kyH|k@WOwH^Ei#;&xAJaJ;7Dw6GyJec1+jrd_z?{n=fUV zwQsN=tX82&eHUx+1|CThaigg@2JvJ(Kq_Z-6`1>If2q2UKlP%gLt%n;DL%$N4fxQn zQcR{_$7Yzt#9nA7dr{1)W?b*{ZV^b#kHtTQ#X9ytD{@0@T5MUr>J0J}h9r@@=328w zWx-hNEX3C_`LKg4O;ZtEI^&4~Jb?m_(E*oueu3i;U`V;Ea_sWejd@n9pXDPrHkW*$PUwlUzUzWjj`K2X5XLl*{HwFjA`9Z26h-@qgq06<%3cY+v1UTBbrik@|C4d z*NIW)~h`u;`9ezD7lPxmw& zDkd%-0VauViT*8Ic3!#7ARpF37`)UNGHceg?kxb1VADW>b^_E9uINLFt6<SVIXmLm7`zKyHDG&-3?k@rvlqNi71B>{g@0MT12g|2nd~VG4%nhB1Zitcq-n zf>QT!jr^P7(eSe5$r?DFc9?*2&rgP}IzGjhSv>E=S_{T;7I-|&AMce~Eb1tlK&(+u zacBr+_PXUc@cQBqYvcLUGY<*Lt+!i+jJIS>VP%Ruo;@b9CRG-Bf(=2BE}*cz;F!@< zsQRfSXj@>GvB=GwP*_G&3Kw-(OKscJj2ybunSzLl-cgJDw5=1V9x>ko3vwIWS7XV6 zhN)Y!+Xbj=H&MgD_B~OAQ76}mt{J}_a!YGoYi-4!<`D2?z)@(3$02&I@o1oFG`id@ zkONvNMPX9G%)hXdR0}mFpxBM{TJ>REuX-d%Vhd+UyJcrD)=Vt&YRK{4xEGBro(iH` zb!5q9>V#Pp_&yiKO;~_@WUX0(@~Vqjzw~P7MQE*QJ3hva?Uh1YFD31W+BP+_=+3&T zGSUO>hM82HF0N_Wdg%)Vs7kW^`87Xgm@f`1= ztSnw2@}CgWPNiQPy^W@^EOf)^M85rcDxL7e+MsNN7hL(y05#pM7sR_-#(!Bv zhIacRE8SZ?AU5thAF6rnFHkeOlz;^OVkm(8KDc}e531w7lbB$N(bo2c z7TeKn{xuo5EF3zsMp7w!SmKiQ7$`RC==&cSlY-7)a7xTdS+vm8@&Tmn2y5|S@7429 z3(H=!-hEJLu)d&_tU6$j8=+Ij;xa^IX z?l{CE+16Q)pAoxbSzMXuYy9NO?&nP(>3-ZXuX8aFP^K`@(xRdn0q3NF;OQL7e;PJW&E_%g60BMxBYt1~rOJq3@zupMHpx zxGkr+Pn_wuV&joI(-PAUPHkJ7inairK)%o!VD>YR2D!zM zs1-mY#^6c2i{~rJ9Mmu<$b}|?N`iU6RXDvb*B)bp-n($FxuCn9dTe*TOW6P#zN2$%DVS(}X{bzZi`KZM^pd#-@F$oBSBT4y62X)WM>F2BX9;yY(-FH=oW7RlF zyr$+5mcf(3`gEJ;p)(xb;{~r_0Bmvl0uHyZLfoWK*vPv}_Z$BSWc4#iLdS}@jL6s2 zswJsvi*mku6gw27J)EBUYu0kExDer{x{tbKagox#XwFvkqsDtti#nGXf#^To`)Z(I zTo-64{n`s?l;4SdLG##iMn8xb6^&Q}B5v1c3?zvh(> zCu@SbF4N|>Y3!xi?NIVZ5cSB>EOk(-F0Zzj6C=vn6})7?^W&z&N3j@S5F^2a8FQRs z6bHn6S@=5tb*KX#(tb_qm%CM!F1wsQ%FFZKtSMo9vJIv)@)nr3pc6hH_Dx;~@x?_p zLO3*G*vj~t`xOoMn-0m^U8M#zoi24CyOQ`fuLjAu_~vbcp*;^#k**KTs}<%LO2`L( zX46Y)S>|i8wE^$A%R~UyDZ+rYkrl%d9KG$(kMq=B!bCg_|;X0omXYqJgf3^ zVjxLoxyzfBqltae>nsitm@eb5J3sVH-GFkyvZN^$kcXUr)xv07mT4RJ0;JDm6uAD~ zIQ!cWWc0|C?~o7IW3$j^Z!S3S>i9g;A&2?piF{xG;?J61kSEDkQAehc1S)k`U|B|5 zu3kBms7F3N5d-6`+Z(!aBJ8<^&0&_@#}R^70_Veil%VRkUPY=ydZ8AUV$d|UDH!eaPadKb6Tu=8{bc2&WvvbjB-o82ExC*ylD=Th|o+WB%>)f=kso|su znqZIdj@sEEE}#TDoPA<7zh6pJTGq&bSuQY|Rm7w>UL>Ae7Iw(ufYdZ0n&6Rj!Cuby zpT{OeS+o8-KM1gcf`r0D79k5|lir+GwX^dA2732J6^whcMYI3ynC~}}JY^Ab6PN7% z>`9Zktv{>cBB#QN_)dHXgY-%QzC_LTLrbb^WX|v0P!&8!YSeJdZ^vapS{d=Cnf}q| zmk~;^uk74-^RI0uBOuw5MewIgauh8Nn%wqr;CjlX`8K8{RR#Xy(npCcI4|`kxd<-I z-8Upn&vt`JaZwIphmvBnjhL15{2C9+xw6xK9`2xwQJ510WJzOMQ0Y|lh-$MZ@~)E5 zj4?4zwBOi?q=Iqc<5GySbB;-*z8g>%CTh}bF#TUHpMH+AF{E-qvNW%{;{%8=Z4a$Y zv^wuyNCqa^WJOM^11(TxR0HE;+^6bdAJ85El`!lf?38x>WyDjI!jl(wu3b-!^7sWB z0O9YL!VpfG972~r$Ol$MxMt8x}c(L}FfOam|0Z%F(w(RbOjGFrRd*D*5JM$zR zqL6I<(k_tj<>oOVdY&&>E=mv5JYWchEpj@FNIz2JZcXY+JVO|1#JNA*{8`zqN5&P| zg*-}qcVGN6s-?SL-A*W!k)_lB8`)J9u>E#A;*`pri?SIbRqc9DoQ|cY-K>; zdB&9MX`wvx?faq$xqs&TS)7L4n1T%ePPEA$!bvt&cK4o=mYR1ua(0q6yatyBt>sHU zN_84oa<&!HtZxrl$n80+uzgjO0vK>9AKcOJev}UKvo;qzGRetf2`5TVo9vhLDfizS zMOhQcdd&FqKWL!n*hrkg%j0N}BxBnO9@o?<8XS+5GwL;xNw8!N#&A5`D zqNgO$&ny2{sn7=1BI8o_=#aGCH0iUNVA5MHn`z?>GxQwR5tJ*mceJBTZmM(>$MEJq zE_95k3RyC!_but^hsdBbn0Q<+`TXup?88i$7Wl-ttj&5MreV8giwsXjDR7LIj*y)}ROCp;W zgnUceM6`RpC2{m&=FET*9M3%`r?7qBEujl#fMWmg3H|iX6_kZem-a|OvOva2 zn?&1x{ZmWL6#r&`yYTML4)%Nyws7!YZ^&-W`u9PGXMvC z2;K+(VsXOaK!V6(CI#hQPjmMOSZp43kLoM)lBG1=G04u<0y%E!`Emx`-f7w*cFyfR z+Tuanr>44?Pwf*tQ&jtBhUYns!fSj1BB-V>ubm^*Ge&@=vQCAsk27pHqL!RDg%S|W z5;*y|^Lx}+i8=_&Bi>QOHsmoCa<+vN(d?3B^ty$EW;t`FSZ;KPDW?t2VaWZZIU?rQBH-E%M^J1CK`wT zazP1^UH`pSvII@_r|~Ld1wnUl5HeO+(}l1j7t@m0;3S)k0bNC1S=QGLIJgh17kMOg zW;pjIXxR1Z84~*(8rsk(tm*AR&$q3@jlvs+J57uYuS2C=qBQ?~qHB%FA9p;Es7_dY zB~mcUH_rF$D+=vFxF%!5z%X8Mn_V=ZMU6;4QZ9zUymcK`crl0ur4DQ^yU_XTxDV43G)+fl;YC;P5? zI$$hWPR#s7+OUWx>tycjoW;*0KuW;O5k-1*H$srv67=Ta0Woy0z8ch}r2qy?RxQmD`eTfcWmCLwNX?ImlGzKYmMf3<`qz3zKqCcxdncrHxb0*d^Ft0?jr^ugYB8EM2qs=x5Uej<-9R&=@hng z624*^*H~?_PxYQ%%#t2Il~IpEH}+?}NMKX)E`Nl5mj}m1(Uv05+V7VzKOh`gWBVAfe3Cj`G=l%Ossa)J*e?`tY(wrmjOgEe3gMVkXEhOFv zXkWX3#QvI}L}j8x1lf_@x9b8bLWM@uk1B+FXB>Y&^V+*PDHv|gTo%}{fhF$5@w@+0 zUlaw7=g2zH^Mr(#<%{1+m7)PStf z`lJflH_bEdaZvAiHB}>Y67e?^1*INMiU?3bx>9jhj3jG)e4}fNI znoY+nG}{$#jpEs!9>1aZbrfv&KCHXoUKi6-VZGPilr-mdsi5i-f3`Jh9F>QC3s2Z^ zyL0@+{zJrKo8qD1VLw8l-Zu-*NJm~J{hNRNiDz#|oF@1;>QgC2#oF;HN3Yv5VSELk(h{R;Qv1B;0>LO9G`XHyknAAiODx%T=&5+*+%U*rT89=n3^z<|7@K{=( zN}@u|%#*?<)P4z|t^S0H8uKGWdfq()CxI*F;+Y}M4bceK!C80bTS*IncHCvZc5jwd z1ji*a$U4A}x)z)7hSRQ6xVY82PUW%T#G2>c90S>OBRx_*wnkFv?R?fVS)vhNsjcO- zCgsI^kC7o7y`@ynVG|`7paNOAIofk22N4o0vk*B=zss&@ZFXQ%hk#T(%v){7D@pxJ zG!(snWiV>aRXA4rE@bg%)mf}-73O&)%T)^9@yW|}zsqQP#NhRwfAfol_k*&Z?T}er zGaPRYxl4zFJGZ@tBSaldq^&?Er!qE!tUN+Do59oZ5nO$b%qED&%G?jo@8zukzAvgm z$iw!kZ0mg$MlYeZ|L*=rHp_8a=%`5cKI0s@@uPY%YAw`E?Gv-8YeDD9WalrH2T|p9 zQuf4^WDpo_uXcVYX_;Y`uzVv&)Wq}#XNX4$W~ zwr}t`j5GsGeC&k+5yt_PmG2d~&B?D4$M*Mi9Odp{GUJKj&DM;v8fQBU7ci-I0n35L zJCi*wW%HpR!0MaJ{0DKl4H@nQP%8`Bo)R@&#)~dc<2fFxs_C!)7(q(%Em6~J)Wm|a zGsFh^&teYOIs}O-XHUg;8h8x-_k@9Ho1KD*a~(#`Dh#H8EC9158N5EG6jH3EohEfd z!eQqDXvOy`ZVYyH7$q&xjQ%Pc0mCbv1|U0s75k|(S72w|jKPh7m~l651?pWfieh}t zaIU55Oi&+IGw+8oXd+Z0y>ex5EdjV9fPSYlG`i-OBVK_-hY0S7rUjMJ?a&6q3*wF#9Ku>q2%5`e$nOi!SDt2;Y*;w6%!Kw$ifTwvV0F81_5M7a|nE;p{Rq z&lQRVcaUZQo-X54x>$XrN*B{TCJKv5L9%g`+QU}vg$pJ`9xHYen%$!Q#%ls^nYaV@ z=I}Wq1+HCJ90QAHA5;Oq=!N{LR0Q&Dth^sOGJl;??MebT`zKHM{==FC=IWRjD#NL0@w_p{w9K%$+)6PBxR z8RniEb3%`30_r!YTycSn)04R$RLz4%1NL^qllcieD3UUw^igjcZw*3moAXbq@MwW6jZ7m_{&3q=jvR5S63H~S9sGRyJSATP%cdcApWU;3TR4yu?7cP*WLPnl_Or?$(Q)yc!0QY`T||Cj{OaTGBodTcR^nG`6nGkUmJ=O=5DQD!yri z5=NUwa>e?Z*BiA@eVKfFweeqyNgr$A?{F7SSY^1rIB}CtOxaQ8P;IK+FTS?8vs|kG z^(DrNih)zc*4}47S{d(~km%K%yY4O@(e#l>Q9%nUYh|m>DhqPP-B~rrFj(nVy6}T+ z^aD!q8ftf02i5?JXhJxz{YQ614GB^Kp1IXF4~Y&?5=8-sJWZF>Z`B2fG`Lr3$JK4+ z=<6(`=|=HUV%~?2=vK!-RFd;(yE1Ske!jLc<)+xJmXIOmL2dER@!&${cxkm*uP^c1 zc3Q=Fx5l-Rp$e(zAqixGH;rKNJ8QZ({EdNa9C`S3dd=p4zJQxLJ_qV)qL+nkEdWL^ zw_1yrbH310WVqfMq4FId8a!G*WumddcMdYyt%zsER@fh*F(lnv5;Z3!av+Ve#4-pE zrNSH_1JXx1@yvpTRiI1or`YLP4;O(>0JJ8+fl8`zKz%=fNR&e?;cu zQ;@Ao&e#dw*{X*b$AD||0{>gdQewVM(e2atA)Z-J>vJ|^h{FquGZ+=b?Q!hU!iR*` z_g`r%T%TR|AvapGz7SfLN|npqA%o{el)L1btgz@}vKwIHODtx+#&5ry%%S3db6iuw z@tRZonbFTGi3JBW3G+{jHTlbQyP57rUg&K|QpUw+$!4||u@~0ZlG{ZVTTFLTU?Qp9 zKYkd5b)@=>0#6YmF84{xz6AKtWp?j>*eJ;5Z0E>9e1we?CW}5D>JB-RakN9@%BPu)dw}$eHazo+&{=Q#sb~i!Ql+>kr{jTZ-@dGY} z$&3~4sJGpHQ+pcB@asg0CzW2mmcZD+C)Vz))rMUE^}lBELoxo({eCE$3b)7+d~>85Hn*08CD(D|WEY6qs? zL#&v$v@HI%y#(ovvPRSl-%e+=l4EwW@xm0*5QfoI^l_4BrZS^8~-?u^Egbxv6wij6 z_*RldI!JcROP=J1AVP#cN@_(Tm-9%Hg)(+r_y)@^D&!bqY~OD-H@|)CxhZ&#-Ba2= zwTy?0L!CxhwXr54?jrKXT5J-BGfhd3(GucK6}RB%dWY!yE_Yd}zVDJq!s1AnOb z-K{yN5gc7z=)UGO)2M#FOMysJq{c176B)uwg6C1u1;kpJ>}}8<2()*;e7gZ3$v92g z2TF5fl%RnDnQ6pRU*M&nb3|cT5$!H1mq@Vg&P%@rzr1(>y0$fY_a+@VzA`xhcLjm2 z)1@IC#SpKsHI`7wc1tM-LRi;}pUqbJs>=-^*r(3Y_vS9YrlcSqAPS3Q6sE9sR)HLb z`OLBl^%KxPG$g@`cUK%Op-stoQW`F_w}^lpox%e@TO)_A5&+lXYP|&(ml3P}zTkD< zdYY~$vD|qJq`tloll3^NW(x>gfPjLJv^TGe;?ue!6NTxJ(a!+T!Dag$Gcc#;d6f0E>F6|9LXq=Mlo6<}vxC~-g z!jWw}-Ig5!eu{XM@^1Gz;M@V}ff?`CaUMhr@q+NmS7+MqCntVTv*5sZv2U)Se{d__ z7NH*6fyq1rf#FDar$t&{U=2eGx=n3c~Ic{1s;63?~F_Td_b5afYWv4p)Ug^4?8+{#|YD zRLtP>uCD=Z{CSBsVm4VMaF52$Bxq4V02bg+-&?U{c}S9seX8)=b}lHG1pd_{Q{deK zkhe*I5A(0AZ(7{YMHj}D%S{V*z3_t^H4WkJ$WZJ)Cp5YB+%Q?+QwMY&KBaECPNn=U zr6<>$8SzA}>}wP;IIK?irv2^{O*jVuf^+83%Py-1^lAR0NZaQt1PG&cLZWwO^?g-H zaMN>~JWro>zyNy4t``Erk;<{T6eIw583!dvzWkU$oF_AfCDBLZWQ#g9ucc25w3 z^MbFkc5XKq{^*jsn%7@Br?e)3Sgcp@_{Qy5r@nT|5%lB}z6U8T-4p(#_&4-VhGyMw z)g&La5`b~$g|GpzREn_LzUPMMNhlJX{e6~KK{9**WLtKqPZ;IQ10 zdPbFHp6VtTPOB)W*eQE}V})G)mj#zN4p5TmZk`)|vuWWsbAUJk>`}^-GfB|^&&OPM zr7rf8Qr8Pk1!vh}ug4u>t6LQx7DHnSS`8{(flC6oMj*5vwDC{bD;Gr((FD8`6t1xKiPa}r$RuP!uC961iVY2r?UKqP-dA2zf+ z{N^SI*{xbJ7qvYV2(p>an`Pho(cm?dL9+3mSK8o}<29fcceda+WzAJ>hupCRKSvT~ zn2SUs{Rd5f*P$Tfj8{(^4j#Ib2sUHGnC&NS+#}s=AN`69O?Q9L-ZjDJM(T3&9=_aJ z+6Hi89Ypmw?gWwyhjPp3BnQ^fcSToT@zy|fWq{TnW% z>`euR+ePU^BeFLbRhYixD{!j$KeOITEmb#ufR+KYSn0h7X=uRV#M0gpyZ z0~TUXSCioXO8{SfVN}or?kD7a=}g0YuV$0~?~FVXUq3!^^Xm)2$jT7FaS-J)=N7-& zo4=C`Pz7*mEAn;J+i@t}mXKmo^k+DW6k&XYh!NQ5mN;VvTo4ixR9-gZiU zcg($d1#)yH^u|Lg*^>$+5TyoX7Es>+y`u~6VG}`JL?9MSAG(t0b?1Iu>$wR;9w6GM zpe`bf3MDT>+xqXcXKOuq@}wAIpV>SqOc-DM0C+(#y@;^JW(cW(bN~Q9#%*m3{x%?8 z6Pe*9pv43_d6AmESKHp2Fd#(%QnB$WiqS;%KvfcGi|Z|2Rso%fNo3cH2g4?R$2OrT zQ{(m-#Z#@IV9CNvbfkK)JbiJ{4N$>nwg$1VmrH~! zNhw0`*ssL^-GEpKx5A2)PcUg00_=WC-j}3;H#o?pIH`ir`ZM+yJW?%bl@w}*Tb4EI0j1C_?E3((p4fdPTVD;*tPJ0f~4<) z2&Ss%!z}l8l6xzUnShcf2|U}FM8uo)heuGoQAJT?xO3R(Ij-qI)Ffqg$y7^KL25f&m^Cn-_l^s zjb%DDHTwj-%c_UNr_D%^v@@>BDlEX?PX-gXx+ZT>&<@{O2A}qX0k%XY2?_`9oV33I^97 zCG`v6QCMnXM}w3BwESn*xwDjE z8?FXLY#TbgL)e!BaIN5@(LUCFFD8&7fIP+d;PhcM2NBprhQ_++Q$U3TrpzBzn{?J1 z09C;Bq@Jed8y`Q!PbZo2$ZKeHlnTtXfeXQhunAMKL)U{Y0C0{6xZzlRe-ea6?wC}4 zaioSSTfmw%_b0XOdw3}ecK#b!xt>~W}Qy`sC#&hNi<0@OvL9Yt*0rog& z*I%^wlUyhJhuUGu{WV1hxbRvx%cb8K4f+!oyy3TcDDgjESFhuF(ZvvG$^kGSCiVWO z5!@hLfuL6@w_XryKx#J3$okpj+J7YRm|>|e`BuyWWe7BS2Z?)+*Xrk>n^NG`V_GP| z3bky^xe+Y{e8Y<`h9orChlu)?2tX`qg7-hPj*4=U9PRqTUXn63T#3{t`F)7^tOWz= z4I)AplEmGvOPoY!Ha=V7G0TVy60}E4dRJqCGM!isO?RJ_0a_2UPyzrr#f;;82LaGe z@YV$HEaeV2K?C_v&qS=ZCAAqTLH5?P{7x!@0oUy{gSoDC1IRK#<_UyP^~<&OF<`*+ z7gedYsk6_>CFLUXT_tw<&e{s!gg-cU&Tu$cJ?eTO^x?<7ypx3Wi&F9RI`w19 zpKLERv3PN^uO@J(nO6ZE`IhQNQoq0`lWM2a#kPuO?}3m3z%?GL8tCV*X6nB{%r{l)oTQ@LgfgBvsMFH*;zC}@_HsJtVf{rN zmoN27_IAKtoitm#Gc<=F?;)SG+p#gDQAP0#tRIq_q`Gyg@}Rm$_=;L2%!*6?BCr|wkN*$Ed7W<1wDxS^#xziszxzVIo7m4iw%h*HOnfj zVZ4gRV6_K?+csr&5rqXPD~SL6N7$q2lhpzgb*9d0k1WSLCFb;i>$^VO^TS&ejOBnA z9!%5DU3f==*{2$DbHr`>CnuAoPxLN~iY5q=vMf7ei&akpQulymbg|$IPvXgih;q)q zhJ-wEP4LxEhR7z^0@Q_Yq&7y|dh&ECo={!6X^RSEKk+0jmX{Efxv#-aCSVkH%oOm3 zS`@KG5ONStzV9ppD3poaNc>0x26H0=KpCLO zB<8gO*idC{Jb+0kZ#E5Y^!H4<4VG+x!XC0^CP_*;)z$>L@iN@h>=_D!9QUpkBf5(su$>&jVQCo$yj~{-2Mv zzhHyvfD%st4HkrqgXKtjQa$gaHvbyzR{dbCTC)yRz(Ux9tO+Owf<=+C_U76T=hGKO=&F z_`W3y>Z<^ahf_ZaQxHGFl`>-@=v5s=H!1znj}~-%F8~ez(R}h0kzsTs&%l#I=O#T0 zFB_Wa-tU@y4?8B)~_~H5ZoZV@1Yw*46c6f-0%f4>;4Cg zuNxt^U$DqQJs~0SDd&&5cHr&ZL=dI`G>E9B1)D;k*J~Gv5HpCXg_>7D8_s+4Q0ccJ zh$_Ha9`%%clfFg7-*S(^zg*3iUo50UEity$M8f`vy2}B8DgJ~>)eu>?8g887+Cx4?VyHQ|IlW-CO#42hGJcTF0mB76@mA=g&d(zrUNiDe@ z0wqSSG;S>R7n$%K|I5qnt!c)*1ziVFXK6)7IB2_^)URDH?(I&mCZkT8G3D;3ErXRw zrq&DUxup+0tsp%p`K>R8xxh~f=+N@v+aX|H3nb3bMpbu!z5vwe3V!CK=eu>|q_ahDtEOYuq6Y>e zpsT0;lxaZkKK>nPT&aFF<}>RJQVDB>pU+!957kvuO;?x3EOJjWt{Xk*Ns5zFH@f-& zl`w$?{2VdH1O6i!k+Kdou-N#D@1AD*KbCf=;(d6S((Fa97knAs7m`RJyabk;}c z+JxyrLV(NA)593(faM|Z1i@dhLl?L<#N?oP%8}{(oBs5p&VIZIRPIF4RXk+jvK3YV zoml+mv^!fbU8Epa7*EfrR^;$W!uR1zk&U}R6>rVfGLA0-A_a&eAWG77ofW^Y!qhTGWn-<`dM09TpG{1#ZiS#zLs26TUL>mqGO)!vV^Ifuu7VU*xn(MvC7Z5y_L+ zs!PGh3^)@hS)0m`#a2>nr7YVo8mCLRr%tNS%-KC_0_lN9IEWyz;EsGnb@&TXggH(!(P zs84Cmov`~6|L+3gBC#&hkD|SL?R3h{C+#|gs*Ga#c&J51nEQ{TN9waf1F4o@VAk(r z{Y7`uEAX)#58;9;rFi-wbX=KI2NlV8#t!a#iL99dPhW{S0G#f3*K4WUi1#4G8f$K~ z$*Vk8ihvT5{sk?*v2@$7&@(ofu@&otvtSn*dfWi}q4eOe`S}v`&<&^um4?4fW|AH^ zwDCQN&H{V`)K4g)JJ`uafBOd2XH!kpQq`7F9!vJ7V%K0?w*t;X%EaEz-O+r0`J}n6 zxRY)DoOIu7wvyYiQcw`}7e$AKy5i$MpCk*5I7oz7SK3b|*_Yy%X{|ZM%y3c8AW9gx(IXGw1^31f}YfQAdVBP1yP7gpzFkj{V^50M`)2fp) zzf**7IJi234(2kz$Ay+%Em#%1Ej#Ri^CWl;k6U$A!C?wZrhsZ%D2v;86+C$|j|+?A z4ThdP0m+_6$jO|s%+DbI?l6A)%!EmB!OOQxEj8h`f_tzuPi&4xM9GzOVGK6Pfszb> zc63k$tejv0#rZ2So&;tg`~bL{6GuGG2(8_s@Ga?KZ0X_Q)kj}Ankd^Pz)D}Va-2dc zzyb!PfQ@`U`3`{}@-Gjne!V%zYY1DfhgGV56$3Z=z`fh!{5y)wWaB4r)dh+K)iT1Z zJbd5)25ziw9<>>N|GAj}pC~@zZwpu)FG9c*L710Q4uoXgXo?wrURk+Ge6`-&lm$OM zaQzJqZYb1-dlC1qY<6x5g&(WG7q)!mDuRvfOgj58PsT2}SI|N%kcn|~d`WJYgyj}N z-_TY__l&|g;S;~Q4>zBBg_R53{(y}so^)@I_TTXSS+ME`j6`^uLZqq#Cl|eb9#)R> zJP~XCI%omA8~FW)c#&WH6evZ&hxA~Idt9LOu^4*DciSe~_{K(voKK(PkCF38ebr3+GR;D?pGf)X26e3oq%4M3Z~+S&J26ld^5 z6#PO#aiT$Qdhi$r6Lv$@T!4Qz{O^8@LE?yx5ZLSBBe?AHeJSH`^wX%ZS6_h2K+}+8 zXT1uzO;hft)a>JHmxWRnI7-;a#5ad9)_vR`p-{yCf9va?(rN1#HYfNenQ$ zi#B)RR|doTK|E~nT-)nL!H$pbkNr^z**%3Po;RoVN7#ED7a?;C7}*lZ`AWM*bRgQJ<0i* zVD-PFRheg^Mlq~ALwOHd9NctwCi39(mkqaZa0dXNIA{4q`!C93AX zJ2tO;<)vf_8u;L3y1`f2^$r2~Nd?#`7dV`j z4k+hxz>cbaH*m|J<`UE0!xF$2uT7DW`_<@1_*mvDWsBw8Yrm+%0ecvDxw$*R#+ zJ~Tz>Okg|U&l*(el~cMssVU+Rn{_GPJQ(6a{={lRz)efPov+Z*n=<#HI4Vu*@zE0h zmS3IR5dlo`5SJq*FYG%SE-3plvv`l=GGJNGzzEKc2?~){R-t{R-_30Oj)z1*95>Yc z0Zg_zPg}+?nHlsc=w*C0cjNOyZV2O*VztqJ{YeJ4F;?V#QD4cJ0k=cAFkcE>p#dIj3&|xbTXUPVrTL(1cF%+L zj)}I|;(s}ytfk+x$a_lgG_x|&?MZ~p&$MIvErQ~2!o@4ZNg_cCN0xFGfS;K_>!%hj|N#|a@Jp~r_7b&kDgErR^kxMpVVwFu*54Za<63+1k6of8(SN{+!1ZU`>qS0k!i&WiOsiD5&PfFa#^nv(>+Cd!=$#4u-VT3+z?vnE5cm%6(WKpvf%e+v;d@#YLFev?Y6Xka9<14t>uc zOnF-;kk1NI?yF*D)k6CIa(p`k=0gC*xl`|W`sbr=5(|b6)l~it5e^pcx)m@pto&MP zUPJx>c$Q4BOK_4{W}eh1D0l?ix&n&dGkE!oo!8kV%*62sZdad7WOmHrkZF0mt}$cQF1> zKNEe}_6SgV)Qw-4%3mpuK2XQzq}mMg*rL0Ztk z*zhFXQcJ=-x+zR&JS}IBXtk`ip9#)Ok&YvDGNq`!YezfF;5v@ASZbO__?%_8v@e&Nj)cf^+Z*0P~ z;IUasnn_(L8sX`liok zg+rDQ`a+rcro7gViuA>M%mMKXg72T4|H!zvxM#sW)Sksq>6EK^Th9*+$Oi9TdgE@lu z&1=p61y}4(RB)quN6;fZRVxzwZUWdQLU~Tk^R}?)1zA8*_o+_cNF-iK@S#My&;sZK z&9|!oAC|bqc8JYK+^581o2D6O>A@{6Z-g$Q?sCR zbG&)UkBbc5EHUhsF0*y@vHoek;h0yccnKOs{C2fb*Q^4Z2Y@EKxI1qQ99Am2R5Ow$ z&-Q0NCU`H$vUqvy)8?VK_zcett>%;1EIuKstwx$O{SJc6>`~a!m(l z^V#AbRZYRMG;B~fE$h!Og_eh(!Z4&3zuUf5P;z{0khG+H1S7S1heEpf8}?M?RO{Jw ziKqNNV0}GZ8u(PCo5u2Z(Bfg7$oVOEg#yS-OuXeg;#K)2MZZH}As<}bh(NABf*E!_t5sp($nX<&($^iEz`E;pHF&KF()&+~Jsg?!96&8_Xw6Qj2+e+A8h?lK1_x zFZt_aRXykh>$otFJr-(9=<(dbs{yr^X8I*k%vj)6V_sKPTGk#twX0F&XHr*?Ih-Zq2AhuFj0*1sxW8cWHFq_;RIIwh zzttI5#LH$O{(mQ60%n;F7sU#x}mrv4jaa4;NWEufE!v` zrWsxc-cnn4GCy=<`kv8G8{MGIxb}|Unt&`Nl-os+%9|yY3ckagbgzGMOKx?ZU>0Bo zd>9X~a(*Ip1ETKK!J9H5XpvoqddIM_NKmSyJwBzCfwu1}t$WpBVOyvpR13p~HnF`PWzI3aTFLg2baE%UO+svxFh} z2S)C$n@qMp39kno^NIx1$YL4?V!K|qCeq=#J*+8MSztQp9UE03jBE;?{polRgZx`y z<_pLYG|X$k`~?ie&OIwW-f47G#s5P6Li2ZiZ(FIjk0_#jD!wHG2d#>`SY8soPZu~y zn@;e*TUp|7s6}RkhJQ9*WWLKhd6`6?fya%3CGXKD{;lVN96MDUHl9anRU2+b2%UA=QHalDAtjlSNhoLpn~Kp zE;Q1+1L?ZXkdMFy0>l^ib#q&895)EM&QqfKX1QTii2nfg66EJ6w8NfiGRv)l*w7t8 zaNejhgcKvwv}9E+oV8Cf3!PNw;P5$#?}&|6gdmGzHDyT^HiQNs?c^ zyZ2h)UWf5k1Y2{`Ni7<>%Y4|ttz<8ycRPFC3*85SW*k|>*6$pnf=(0^tG688h1HES zVO!?Bk>81jQNSB^Xh1P^LTq2XO^{{y7+vCLL_D1y$}(LHx(?Uae^8BV3ex$hV!ycO zKk29q{45T6B#L=WylFjVagDgD7CRGh(g-nA`hEyHT4H{Mk*4b=quD1-WS-AOOlkO! z*EcwJjg}(yLSX?qQ)%Hh54aUWJa*g&kqMkEBhK&a+I(&ofmy$ zp_Y>g8@k?eaLvB9>RaSWL<5&@u0(~?(VvR$4+D$j(`X)VZ-hMCv0mB14}`AyO)mJ= zM|GoRxp2(^T^(noxXBhYRV{j^IA6VUWik%qjDG-T_7#GO82ue^itU2L0DlBri7ey~p(b$sRf?K+l5qKMT!=39EEc&_*dJ99zk^%-68lnMXEB%vPnP z*%rCg7<+#P=eFQDr4k>R4`Eske5xymMz5eLbpeY~-rmgUiwN$}f(kS(Q1jzn#udk= zzGXuwxPW9`1?9UH*SvoSlxSp*62eua~WTgwbC$Xr3MjUCa zTNd2DC^75+6Whcj0Rg+cz#35zZklCb@lAD%kEw#Mrwt~ zroh=BK=AZ@z%TV?sZ2Z`4hwT~+Wua}ZB8e(*kNl$M5uZ;!5t*0%F9kdoP;bK+ms;7 zu!CYD;gRzlU6d+Uo*qhcHCXDB73PNITl_ZOdclh0yQ-&*u1r~iVj=30A^s>OPAQKd zBqJz1KW_o4{yS-?msk;lCq3~XP)UduuMVS}z#onbb2fa=C+b(&B?+AvF>lePW@B-G zX@)>&S6YhEYLL(%g#FC{={!ic0XkyL)}1 z#5eloj|Tz|qTUW5Z0T!vzD8|&sq^*S^A7}0RT>Eh5LFWU?oRgj>J zmFWRA76p0Cviu9XXhboXcXwZ9UzEU)7)i*PAN2AYU0moAAJHOD=GtnZo(xDvu2qRb~LxS$@9sd-5!4Zr4fS@#DJ#Q(l$#G z_8IF37BK+_74tTt%$DR@U=aak8wb+>%c0{Vf*Is|=p?eBk@>#5v}?iw7ZrKmUvRPl z@@zMW%81tU%vxT;R))$2H-qNt;Fr*KVV)l)ui&nnBMamqoAK%isA{3oOTtzHy5l3a zswWJfKfyjDG1|>QoE2QqA7$ox^QwvS;LCxs|}h==g_b9-7MK+J0RA zbeYXtbV>aVW-C-)LS2_9B=a=5`K(3+u9o!Ox^p+z{{u!;KifgH5R+(du=tdv@1sQtr98sKS2Z06Uf6sD8^3YTYEJE;wpsf7{pD(k0bm_Pi*8=rs;O^+l0pBZX7s*WmQf# z|1#0iJghtLn7G#nY7(8T{JWm%uyJ$UkfV>fb8puEJ(Z0!IHzex6Qta|#k$w4rUq1= z72PD>Mam9fN?$zjHU0y@(D8JWxJo^7WzEi50&QWo!B-Qr;1)?xbZ#3N<2FQNokR9Ww*QogK2wUk#ufiuj#f(J zW7+g5YXrmJi*?5)NunJT^RDk{{SyH`jp85?RK;I}w*Ke2)>9}esH!1vr6h7;P=%MC zgrIkrG@{}8ia0{vfC|?ZJ9BjUJo`@`jh9xO6ORNQMe)m;(4|E>JbUC8Ty5Mr(;`I| zFsVC>JPg;hz|b}oeFHjicNc4!KiplJlQ1qKNqQW`KM+{<=kc18Ih2~8MOKwF4`8yB zfk(%;LU7l@rfH7eBsTk%opw}$4a@y?a*)LjV{H|j+LDVVYz2lbXs`)Sx2g(5^0~#u zfN1M#F!Dva7sVTtd|&?n!ox7Ns5&sx&Uv7Yo*@=)EH05_#M1lK z$5l4(BYM&qx-^x!BV=(W?U5_c6yssK;_Ej3J|oT_j|ang$`EN{>*~kQ6;Yt^q-mJR zb`IMQ_7i|4y9K#-%w2>_`5vOhN1!nnrXp9xvGo-{aX|Lp#rHjjP5<; z9<;w!d)R85$FN@@V@jF4`3hP3fVQrP+JvYR4>%>m*^~)*6jbq2)9mm-M$I65=NYyu zay6BYho~IhzDAw)vn_Nps2WniLjrevsNi$T_ZUN~8Me>KltC*hOWBe0OJRRPJ~Dm4 zM_bn?BF*w^a1;N5$A^dZYNLpfcc*S{(GnDW_dLf@vm#9V2Y!EK$nkN`U)$^&_lu`N zUpn$$(PQBrM+EyOB8sW~R(bvfIoVqCiV9s!i;@Xv(C6gknWmN#{R92LvRCwMTF6wz zNX>(YAafjmcrRzOcmg^|BiNg{F|ff7F<79JMm|_i2v+4exo(Y0qTc|NgPfDkFDAqRAP|_WEo8rh6d^B- z!I8fDV$<}UbJnX(t;lr5a4L?k%P(t*{pov#jhGvj^s%H?_>SVlhVgqNgR8NJIS__> z@gf?(Ydf_zlapDOmf)asXb~}Cu6dVn>1W?CW4nY_t$KS1Bd&YAU<8SeWppHT*T<^O zyN^K0L4lfcsfDO_7!7pY3dRyn??|mXdr;h$kp@BW{~Ga=GnUAwmH#>Mo|zg<#*Rq; z9=7_i3`6!qGE*M5TBu^r*@1U-Q^6o-?-{O11-m9GWh!Bxt^T&+vki399x-}56x+v8-KmLG^S|$hn8el z6>H)v6%hj9NOXo7_^cFhVlcK&9i3XLYdwSIkML020^j&dt^rE` z6um`;tg3FxN(GLdf<^nuQfm_yws)L>G|{duof`~424#bfi)b;RQrP+n6oTd9+QOxQ z+p#PhK*{oYmA{Il@DV4{V~I0NCr{^nL=rgq(IC!Gjj8=U7@82K(+BRq4bzw$TrkL< zPgp@Fgp8jRQPKm$034p)yQHDeanC^zH>uZ)tJJvM?>P*XX-%j>u8@(45k&NfF1;XK zFSFbi0$`;8T%PDskKva~0-V$!tddcdVCtd?YCGr!L{zHAvp+o{F&Fp;2c%%wqOm3M z6bfmCSWvy>){T7r7zX1+RBL9iJ=yaC4(b$4;@Cdr>m8m3$_6=&3Q@V8`nSXJhFY$Q z>qzjGHu>iJevYfO_BDUZrS_44g9CZ^4;C`gGl954KzuFftvV0|8_Do9%khZ^GCJ%7 zMArW?={6bF4uyeX1&?3n^6YH%4ZuF67}+I}Drv365Ex!3pQV<2akB<(@bJqn6(jW= zTnr@>H6?I>0KwjmwqDG`?Dz)WMqYNddB%f)V4X#tyP1Yn<#dmn0gSlcQ45z*6%m;a zLqJ3_-#|gmu_YEl5Ri-r-@&t9W?vlx1RaZx*tYF&p`!2(O1ZYUhweCEJL+oA!g34l|E zV9Z1MNQ7}s1r>_ac6x5nmj3zB48T4FgCy~|&T?aGfdRaw5isEm=>oWSP#8C&ar+tb zZDG7;5dfkbV3EI2f48ZFqxXzs?-au~9!=(mVFkk&1ghh(ljD!G_>-nd1jVTXT>J^| zotF3lfrHVpJoRzXB)(u%gkjvZKD9qM@f)NBVcnce>&&+;@pEdoST>r8X+ditFe0{|+6HUq;q%B|G<|lJgB4+G&V}AN?n)ChkMAB>{{+ zL_;%%>vqcnaZs<#GqKEujsOh~Q^yuCWWy#Pp95MklFWF9?|`$L2ot4#jh7H1p0ADc z5B^SY&8Rqpm?;m^iJojFp_F>K#)m*+`HYkoWzU=5h>Yogq+O- z%D>OJ_-?QDy?q!>7iSBpRnrNDLNX$u*0>+-lU+%PlSp}^s_FsS6a_6DP*Sd`?<}Oq6$Tn|d43e$Iq%+oHgoY0 zBD6%y#iU&q)~!N~Qq%8Aw+Okj>EK|JynAa)*`++Nj?9^hTn?8{NYMOsH*hu( z2Z{l@MOO9OY(if8%WQN26qWSbnCa6_q=h3|Sl`8Jt50iRj~c&+<9Bxdr7a7)`U30q zvfdGqq50wwI4r9`7vFeTm8K8~W4m;tLos=L|7iFQKrjXXQHdVs=Tazdz8?X>X?;YQ zmiHsQ>S5Tpnw!E{fqSJFH6WU-`(NXc{>a_w8+(pe5GS@w`fd@27QMlIK}IsXo(HC)uc#x026ub!w6#D@K8#41TgS4F}N!skAu;F(}A z$sz?oYstz+7tUTqbrDCvad(%~DXz{M-{@z7AhV_~(gNIezX!RvZWXi-xMN#L?Y0z^ z7l1IiojXFI1cwN8T{QPGi^2OuLuA^xl~ovq0eH&>cWy**vQ0&_aL3jLrigp`j60EgX%1}_ z_G#(pU0zf+xkCJ#-~Htl21B5ZIG~BfiInDvl7vD>Kl;^nluMPtTQ)QTB0zKC z2>!LOUNiu~qI+L46Y@GwKC=151p-2U;2BrX4>xLklMe;2MtK{*=&A3P87Ns9@A2U& zbyZ6dL%rOGApuZV+O=zuqB|ao8jdrqW4Y$A3m~I=JxmvS(^6a;4TIyRZmRk5%D=Kg zqZ=;QKP!A#;zt9g(oKlj_VzMA@OeYQvx(jZCeELDlvBk*k*ym&j7{#ps$Y%sbDqRc zKX*C&E=fM)>|S>p9RTHCs7zfhF-=8s!(gS2N8D1@u0%b3G7W4}%mqsW{Clj$yYj2s zN^LMce0Uk;M?)NeLS&_F@ai{8KyD;a{0Z5Uwc#Ii%vP7zOD^XX8a13I(R9>Y)CGw$ z0|6Qanj4K_obD}1Nj#hFjBHF?Nd#lxUOz12gHflQf(&z%c`g!gQN-gfAMh(GW(&h> z>KPq0EgX~N!|Ct@=GXT$*3Hdxm?&@lvegXZV~-jDmM!S*$_B?4ztZ?U{- zHwPCupO+k0b5b{lj}4C@@A7ej%)D6r_nEErH))FkmpLIHh66d!BD+sjm9Z?%hJQ@QKSd(92sEzcjY~ywA7{PW;IY zb`4eY-HSGJ-j-&wN-*SKo2pKZn_AAw&^{)zKsr<6WNR#hcIoc9L-$NTRX#zI3$$B+ zeh{Qg@e;Kh5Qh3>AGTJ*f&iaB6~=9RFWl_Fy3~Ng4)2R!UE{q}=X>k_zJLk0$>Yx( z29qN|#<|m0cE4Z6sqL(+5vSp#xu~ehobNc|Gb*gw`YF;V?Xe(p?pC7OKkoF%8G=uu z+(Ge96{GmNeVKB!4#r?(VM$*JYS^sa<3>&idFg6ddONZC>j(byFlMq~t9aE2 ziILpF`yCn$NqfwIQlGd)Mc~VwY2#atEG!w%7Kkbg2x|yyN)=_1l+`vTI8ETJ&Uc$pA4vVce72pJ^Xk`fXuO$aBt@`@h=89uOhgvLdF zv>3np$0Ibuxwc9M1IRktnSN-eyTH?Y;sSOe6)$0y9{+0Cy97|T#-Mfo-rU3-_;N)C zuYs;8EFX90SS=w%MZ&DF<`FtfkIN3M)o*Rp&DV1_34 zC-X1T8$P#~#aa{C5WmhkoRm0vKuohut>ec1M#lgaX*-^tJ?z=8^TvB-AMOZNer`c0>hEER&jCrl5E zCnmB&8VOyEO9p1czW=~&31<}Kg$;|dwfBhjRl=Jxc=34tvhpOs{$C&U?J90^EsFl% zBUhIL?TW1%tS1^or|2q>e7tQoihyWG1j@(g;u_iL;lhK3fbz5!T-p+^$cUt}+A4M)0qw^xpeukZL~vBbB8mU~*^z zQlE5INHaxo&x&v^^7&-rKeC786WF%=Y^>^TrB`|laP`=|ky^cBK1R?tzp_2OK%8pO z>M@oI@+gqs;Ik~uCcP-(D|@9vbVy*`81YlVpu!*<9}V5bnDxRaTw{b3@Cn%Yrq@F7 zO}#R`AhIj+#ctx^)@UN?qna~`Rt^#$<@1zITHVZLoYX(ra$KQExXO{Igg{xsr=*QqiBsttdNm+v%_W3Eq z#xB_J#0GZ%8paF%c&uZpK3EU;vYAv1X>ZDE$AaC;cZhDdU>dIR-e(eHDp7~T*YeX^ zw2i3ELaD*moZ-Qon9)X)KK~df7xzz3kjAVR!I$pV9pv4Cvb}V2Jtxf1y{%hPzY=w3 zYu=3UH&>@NXtf#%2RhhSP+IC0y)Mu^3p#ty)@bt0BD6-b9MD5MT{*5r$mALJ;pMm1 zVAEE{p6v2qo6X65;>I8Q1`Hzggt$+{V{fxa18PcyG$(Vj#YO0<=-Ld3Ftw)Mzt5*f z9wBB;q2aXA3z;_#L`}A$gh!u zHwL-kN^j$CkRQ%_$ockt+X&5p6k9^haLJtW^*voy1)~$2cl_yt>%T^>(tDlsaI2?s z6?XT+UuBs3U>)&Z=RtO!GdI|pk601>%~~!wPyc|?r*m_Z5{xYUgfT4?hlvP0W^Uys zA`PAcE!*=)9>XECw*g5p_nY3gY8{x|D)v(>VU zK&B`^VO>{4Oxet~cavUvPGikIuk#pt^8V+dYD$rn6P$V1p8$!ZV|)YrknFxJz>eC4 zWD;KNW%Prl-|d}a8L766CfbwMX6%=tIJPdX-Dg=E%fYo<*E6{PAax}bP1;&=r%irZ zKWD3_Y@Y3!D5xf;EYVsss~lQZRa^zxFWql=v~KDyG5K9RVi#=UHpqVCz97QEN?^)Fk= z4smKJW8aLpYa)40Z9I8#(=-ihnH$l3jm?PNSK?$-C6{EErySchMdvg}Avi7>rCCG$ ziVj={)BlZww%|ZNPqK&`+l8^e1Dt4!=(77&P z$~Bm#UQW?7T6!i>%U)B)1bZK5;xqX-UTE>BK1oE{A@>NMP8-)-*UNDu8vl3^yh8j7 z$Aw$Vg>{TEGG>XRIiKd?>+k`nn@pYZUW5u@Pyk+qO6ku(FIfgbKUIY@R95PT$i;X{ z(Ij9=TEQFQ4VjvufH$XcJJia-zfS6Lh^dk@_d2J^uR_strXQy5-B}xqo1D%k=?9qE z%&_p=XE>I8TqW7yZEMjF-s>MP#31MaMQ=^GdFz+)3!Pks-vVx_XY2Vw?|3-6vislPRlX@tHgye@!dC zf45aHgq$}V!oPn(_ZPI!L|355oDs)F1H-i zQGkQwZPxq#vLP1-to9<9VgzyjCmJQzBw#y%wsl3}H#u+9R7AXjd^(@y0Z;g>)>pk4 zqLCNS0QL*F4J>;|3nim1h%KqUd7rR(4Ueb7qTd`|)Ff0nzDkA}l6+k0Gy?zyEQV4` zpM;!PjW)-$?9Gp5?~rmN&@seqw9Io_3R>p2l5%9wWy$=o7Hu*&M7Knd@3zWuB!9+s zJ4N6_E5HUA6Iu}p(yTlW_GKPT<930wm9~tsmdn;yyb_L4kACw?%%n=%ryNZIvf>7w zqGAx`ud!W&rGptKsB*i6PqiNy`>Rqx!$9>~dCar#5Cr!l_Erm`uj{H&{-nU`yH`jH zpC94$Q^LIIhI=)V z4f^>ff~x=GXRTzj?JJAl0OQX%8A0YCyogwbM@V|Fd00>-S`zIsl9(kEu`}=g!J!~W z(AlendypUFVhfr z^w?0I2rc2PGhkp(`fo?q)-6~pTaY`%IFBN3J?Gm_+to1#4P#G=AfI5!JIy&hsguW0e&2hw&#*^+Ex!fa8N__=)XE8b$w?9(mCs`-y`Q+K7Po}&LQ2jOqZ(^$HL-K}HD=2RChR%tWZNFKm>Zt_ zQRoeE0cjVJVms*qtJI^I!Gg~mgB(Jee0B1s2j=AkG#nWwL>%u+uIXwLEQ)E@iE_B` z)IRtvwdwcj!o2Dtq8!BBBp*!?trJNrkYDQC>|Ha#^{y_jKfA5>S#A9M1#ojtFrvgx zEcPTvKqt{@Em>GoW98Le-(E=bhjC;qU39no5gGe%Z1px8_}@j^s%7(Ki4v#^v0xtiTifs!UudvuchUwqp2MeuK3vRT|96DY+~4B zUv43de%BfQA>5zUUMo!`LrFF0punNz?RaQ*KLu4L!f;^T9`p70U)Qw>ae6?N|5e6C z-@*`Y3S%-D;Ewc6qihs+34o4%gfDKUu4M^E0U-ji;uNd75lX~v-(Gy@LwurII33g{ za`+i&-ILxY5fS34kr&GyRw)iFPg1BHUso~o@~K=^F24an#GZ}GM(}a%hfx5poF_(> z5*C2c7yZA295$@WZ&s;$uvR;DC1#TAb8A#@%eh7P{IRjx5QbT=+i2sD>!&V%Uv_GL zWa^BNbGVx#rXUrKc*y2Ir)x}Sef1hjCekVP*m_ViLb6ITqWA&bC54VQVa8U#k+0*e z5p&q#+*6nGMqis4tk~Q}pU$b$si&$irb5m){8;lP50$ps-iLi-pTq)68(6CRp^_Bc zUE8G?CmY4rC%=<5(X4v2O7Qdgv#YDu>85q*tO*0sfNp zbx*=%SL{lK^Tpe(4U>tRN)ftqn(5qP>Mm+tt%PXa<$$Af52cf_qeoF;W*2ukbkeQ$ouriekg$c7dRQxNs4h1>S5!RZ&Jims>;` z1qhN)16g~XzuNtV%jAlNimq6XSvs{mHJ#saqsd>9>-2rWA+`zS!CYVBN$2|+KR5Y_ zoo%`)whR$Ik&nyj0b}BN{-Reor?rLcX>o6gZF5l9rV|g-+j#vUWN{(vn-}9_Vum&Z zZidgBHu;BcgN`}2)D&gO6i7S4{J%0DeV{rrWro%mv}W;JO^Q4~3VF?zwmrR*k) zjB$K^Aob&6h~a^y%ptyy|KR*2R%h;Z4NV8+=*;DCB)4!n_q(X8_4JJY!IPRFx2{*u zPPsM_&okBCD{Lza15m_7T&~kyeooy7vsjQ^Z68Z)S&lmQ-%u~Th)rDDhS8x_yfNjX z-^m-LA%0%Tr}-{oJBkH1nfJ=MV*Xa%Kc8+Nih7ml#~9o87;&|I6m+lB=W& zV7_CxsrQRLf!wYITpx{dJLs`OPR5Q;+LH_KFGrD@1MH4m6h#B>s3COiqRrX5#G>8;n#YXSVUJO%p!e&Wl%_R0;?8!+#f^S>lXtJ} z)g6+iC&fY2^d5#8-OOG^9k-gCTV&`AKfJ)@b^n;nyjK z=IKq2i$#wKnm9-OOpk*$QTnNXvDq{8Y`Q*P*F3VzuqF3#o_KGWl=k~7tTC14^r)o= zyaE*qPfDFiAnD0J<}osswQW9s7pxP8+^^J{T7DgL zv+Zc$&+o{38lCA=_PYAUE+kF2lAJ=b+X+3HU2g6EaESiy=2#KpcZCRPYpE0#?fH!I zn(SQQ)v@f*!%HTa>q=>hm;%lnx9Ah~v_d5Wb^_LK z?~`522Gk^4QNDz!ULnc0-qL+(zibQ4?)O1HY&pV(FdqKh)yim(H+izzM-O3iINKfB zj9s&o8Iyz1{qpJkT)R6KduAbt(as;s(o*nkK0ON3E`pD#G}}hzz{=%Vd?f$f%D%;+ z!Ivo(X*Qj-*~~&z6|+jzXe4f|k>BM^e?b%DR59|9;_uqT{m?CD{z{RZOq*l#{K2&G z905?CftXlIZ02Z){ z%XxU6`z3*ZrFz=3@=7?sMx;lMTPb@b58)B0St$0MzIe*c`w(K9%?TJqy%b7pgu0~%AG6gRm zU5bbAQwxaNbrI-Uil+MPnQbD>?ZADR?&rBsg}cj_UtK*r7a3`9|h_7~nvI@B4ZDwnGWRlH30G z{-h7nY`kn{IpDM^fO_te17AT~_K>aV*7Br7RBlg`$6VdweC`mVA!0pYSEs9N6zON; zL~cZzmdUMO+Si8x_m#PesVP{?kG>Tg9gFyO+#f>jHUn<2L?K6px8abL_WNm3$VO!V zktUnyttjN07qS@M)H%1d+3p2dZolbsM1eR&`9qS7ZsOlT7}(xIB(IhI1FAC_vMjyt z7i1(DL}JlM}XfQOGRhI2Up|1UL@3VuQS;*0EImuN8^- zuC1;0dUNr%T~`Ex1gTe~S?=(iJ-kaeH#rR8HDnoc^!E)v7NnN0S#Q5MT|E3cZ&&tlO`pMLpAucM1q}%%>62cFV)Z&NU;w`$n> z-gKn>ujnGLBMI^O<2m3{r)o8S)yKQggS2W1{)jO;krtrYIqvQ%d2{k%diic8e9W#T zVET0d>zF`Uh&xtXtIu7ta^GX7h6lxx`Z>M0lzw5&Q~vs<3O)i1a|A8(ayuq$gCC3b{7kvw~Id$~yf$u${A zDM5MfbIMr5g>k68-*Bq>?8hLUgZSaiQKPQuSxMQE-NLxPuJw#))u=(?_WNzNYuvEZ z_rns71Yd7)&m6p)D|;ZTErHltaZMO2X1zPPPH}>9XW5t8M-Mux^qHbP`XM20xb0l$ z%r|1{K8OU4yrLOq%Gw+6H*b}0M=vqM`ID}wO1`fc4IyW{`Q7m1TU}Dd=LeEQfe=kQ?)yt`iKqTeO+d z%z(n!$8lu6-@Sh3I1V?@U4myyW30K3<>=UQrzKlR7G^@#N>x{?p6zw*8vR}+a9SlH z7xaDD{>pvXB-Q3FTYyK%U9B{AJolZC(%|6)AS|J9Jv^V|XhP?I4{{?0M!x8thm5_q zgwZa`r`)$_PKP5g4x$dEWu}R}n5Is@mm_=}c2X0nWKF}1mQ)e-x_F0DOH^&|wEXtY z$LyCEJsjq69rLT;r{ymmPwMH6JS<@cWTFw00GF7Gs&)D8t>Z1z7Y?_h+ zq=xelw*zl?jVLz~-~} zQmgXI%`_M@o{+@XDZvZo^)lg}-ADXXeAG}*CRHZjz`O15gN2u#`i?g&=ho9d6$|33 zw9Bb1feD~EdRuNoE0x-xJ-Xe7`%tTD_V5#!z)+Y?S!kLlzm)lW49}Dvn%KMd(}Q`` zm}TANC9Vjs>EHU4%U4HS7mB&1q6k7duDtTbK_bMI~t%(=vbJQ=KH_II^l+LlYL*SPsy=0G|L=VeU_ys-xhWrkPC2#BmrGDxG-}eT(m*1=ful42p*7|91A2LIo(C#)OrE6-4vTB(l zLUBJ;$4g-;aZ*2px`x`FqjrdJpxp8P^SI?sfYQMv^lw()GMYY!O=?L$e*vVVyF)~{ zpi)B$NM&i@-DKNjO%#J^C?7+A+rBqs+ibXi2AYOW8Q+SgTlxVF0Ti=*e#BsDI*db@ z;8|&_*FkwzVKtEEvB!1{s1jV*xF%ODzoBB5qNLj4LHI`3ZE@ctbK-|cq)8P`{Z}pS z%^h06j_QjyIK~V>0_;yx2F#xAAuu@}jZC>4b<@Ne1SzU~UvWF-j*8!$utfS{yVPRN zZ+}&p(w#s%b{)2W?`2)K+L4B$_|dS6go|?f$nf;+cvW;tFMS_S&p1Ca5as>=FISB8 zw0hl5yo6N>OoQv@XJe)L`6_+8alcZu0P=qeoA_?gRHX*i%7Jo5w5PV6(LP$y5Ufg( zb2dP7_+K9btkmK4%R=lBch$Y}UnN9z*esJ*#AE6REJKVDZwKyEIA#HH19g&!0i@+6 z-p1QOE7|BTMEB}CrWk|5rDZQbX5y=9Ps9>>uW!$#)qwH^TleoLg?0uwhJTq}e#8Nk zYkv8xlKlp1PBb9j&!<%w0Z$!PM=VG&MI9nTgJit<|R z5kab6<;(GWz9Mo-=P}<*VD}+sDAOkRI<_zE-<h6ySpA%4gxj-Vxp@Ijk3VE|h0Ddyb_b*(}}K zQxWA)+AqNQIr}q2lT9X?Ic}Vu2@5tE@MHDlL6T-(XWL|SENDDugLcaV!h=vfv~l$4 zJmw>to>#B<#fpD}htmuaIM}48g%4^(O*0XDldVL3ci$~kjrw)%ONNP-zw`ZmW9(TZ zC291q%(sDk`9RE(_7^WT+9D5F*+*xI!}tE0Xqs*?wURWu;AH0AZVAQdeq$W+U`WlA z#Z=+|lF97q%i`0y^u9c*9CXLFL|83N_lib60hv3HruDNtsABj>r@r!9XQy)w+9MyS z^WeF9X{97gJRhL#0E(uNo?`M1bieL2A#&sm2YEa2Xe&FvFex!?|JEKyVGS1iS zhhwBqY|=SXWg=nopq%YR9l2Ov3pYNr4u)Pe--m#**3pJbr_Ro?EX5?rBS~66)zQGb zG!>hbCtuj~UiIZmnJ%z+>U49JeD+Ja59)&~_Sw084tzzSx9CZBFKSha%l7A?pTql_ zx56D(opfHuU0{=}e83tfr)z;^{PUlhs$nc_`7)c5LEf8?{4shs?Lp01Ng+@bZOAR4 zc*6B8l7^QXFs6J@bI+C3o1}9GHsoh~k}c?_W1fj1_3rtqU$}CX6l(zYj_&?psAywh z_bTp`I!N1}yfB+eeo%)-^678;L=wC%V~f?HTsy)1Tv_((IVY@bek@)6N2exyuX`wcuINZl?rS14i5u(DtXm;N#ekE6hzZ9a zU;S7hf3nNZrX`eo=$W$wA#UncNY*f@53xf|^Rjif@AGybG)*Z*IUV)0cN_Ez@i4Ly zxBK~WKAnMCC1OB0;YPo*D~8f(l{-2I4O7cKPq zm*bbIN=m(y)7Y(B>4p$RHLq0Y_oKp2;9j^XczQ~nSW4pal+ISo16; zwjLgbqL0L}CyYQZ1P`M}zQ7A&tD-m|KtJJq3Jsuag0* z2KY}v8eCQnYDlj1gxS%~FSzY_W1d`Hk)hNd{|rTs3X?f(^W+iIvY2++HMOW8VL1QM zttE6M_v(ItS<79;v?div%nY4W^#t+5zdpC7=v}bh?&tBMA!O$kpNxve9i2h@o&iR@ z%~jkgMA5d*AKh+}H|j(NaXfp|QW3M;uoEGJ>q}$;UUP^VWgtxP+@Y*Zrm>sv=xizf z!2rfwKBV7E`URF}{G#_dF(P!W{YriJ>nK06R=8>V>breyuG_&|A!o7~5%%_pBl+oF za026Y_*+tD`JEg;BgLKBHvHym%jJd1-IA@san!hS7`V>c{;9e+{HQ2+RRW5QMpB z6IlMM8jk6Wd?!@0uh>?!VFidgAc=z4vDhMPm1PX9Q25c9E%u+HJOq3(uRYcyp?34mI{#-`YxafBoV zR20ebL8;Iioi&!-e7)ux&>+^wM^`qP%zoI&!LzjIYnjoq%dgy#P_#&?P*{nGoT6irBbRkhfOQpN zCJQ2k^Hv0S1?nnoK9&7RLgWtt7YhzlmTTcV(N@@R!=_Cff<|@{v_bn;3Q$=9fz4Cy z$O4&YxFtx7L$$Bzlfg>uC`zujrv6)gmRL~$iC~zQsoj%B+MuZdpqbh8`14j~k$M>3 z?y@Cmd29-j+_dHH;!JXAx=vTccsGqJq{uqNz``9Z53F(K@^q&zQ0iQKpT#<9@ zhQv6h<=lQX!xa&sP?MtLA)**8F}i2?f^@NNlrgjQ$h@K`Wtg&FRM2NcHyxP(lT;AkzEFDrACAgQed5!@I z8Yq;c->EhrjYar1L`rD@DbPK`PXXGf4?aYA)(;!rpr?*J8$IKh4NHG~htWX|?3`lo zBD^!{AWEL6>_fHh@5 zbF;;K8Gl3oDHp70t8u`o*o0^E!s@q+cYj1X_L4s7A%Z>LDJ`8%Cgnsf0V<0SZ>S*{ zP?DGY@RWR9mQ4JJ9yC6hTh@xGu8VkOCZx2BR+!5e<|y;a;Y2iN7o1+>Y?Clah~#X1 zOJvL=obwwp{;y|A7faO}9ezy7!IHnr8L4X`H(kUL1zL0!8?pCExjm$;`)TeJLoN(h zHPYJ|vssn2LJP0c&h$E3Y1rNU#>kYqO6?=tDNNk`iJoxv6D2ia?^HfBy+b5*BLXQG zNKA5RucTm2BCl6B`GEmlulO~~VJpIJOtu4AZlfGA*?6JiYWTrKTw{35KOG!C+jWbJ z)}P#&UfqSXhRn;3D21p^U3m&5TfCexzs6U_R(iQx36ePenqDY3B^bshVqS6Q+V};8 z>2w8jk{_TBYSMMA^^s{El{-35zdzqnA4oML($r^3b%*ODJl$>~($s~v_to}euy%H2s_%AE0)aoim69JbSo#*$wKn+yqKfu!0_pOJ}&uyz^uFuFKwRJTc zJ&YGw)d6C0Sgxz2ZQAj;WK|m0@?JhZ*jU>++`RMJSfaK$9da~bN%7w&3gjM+5n0W7 z1Huuaa;q)PQ##Wi*B$*0yd0peo*CKxSLZ>)OIQNE;#0^n1;|oQ>uPV+ISy2ZDy(r2 z6pB*Xh4r|;8sRDk1mpfvSF1k}K7UN#QMvDp@VH{*2&=wNR;%b#q-A{v>Uv1EZgZ&? zB-aYRAoB4PMYhWh$v|oj$>Et(Has_5xx7rfVSV`dDEx|xj+}007koE@WJyGgw=@Ao zKM>M?ZEu^F>fZB;#5sBcJXo{YM7~h%_Y#)mtGW71ZDGSLl)zfRqg|MuI{5fprIDA^ zED(#Q;ToLY?c5q5^4xM$8vNPIVtd)c1QEowdg*&MgCtIV2-LSTf;8DpOq$ zfvYm7sHzRS{?eXlHd^-aP*iZWxh-xI;iS3MjF+@!K03!Tn zPElNlW6Yn=fhG1{{Sht>Z#Vy(a%@hnO;5T8z9AT&o_bR93HhSn*(ig*dy~meWa1@; z&aY6KmvbG!_Y=tH2b)8yEHuU5Mz|jZr)G@eXNRtxN1t_R{5^#X0o?NTXqVYPK5`jZ z;G0j~m%;W`aqU$|?2d;14n!YJa}+>g;Bc$Ef+exN!BJgz6&8rJSSHAM{PBf-K^Fz+{l8CFXeC}$HD7ml2g;Vs8Ws~M6=4Ri-nOv|iNHjQheLRn2 zj*qKT%M-3EI~m&YeAV7KPkgQ5XV=fMsNqX@?!U%djTFvGFCjeY3Gf5B)6dy(ufcu8 zfU|P;!xj8XM*5dIQ#iM2vL$-o%A@V|cjXvnb(gRPY}=R34)~!PUE{KkXK#^MtmUm{ z)}<2FF6(a&@x56!UNf7v>`yxv*bP9 z?h{MHVl%U9kA9pRyq0K;v+xn^*A)@}@^0(%*0+EX&qi7^-#&u^VS^Y3;whIXiffb+ z?qYk3@2Ktjhbz~y;ov7?P9!rI7GGSwd#Co6l`Z}uYf4+~nf{v*mf;d-KuM`CuBK_M zIooJPlVp~XS~))`+nAb}ZZu;^vhO-##W>~`eIPl~GCb@|?5tvk#OE>*kF?6&4Z?!_ zafYJHC{TXHLz z-$kw-c1b7l&Wh!_%-E37DGnCCIL@3G2E#uZ2PYFH%Zx(}8|@+qA4`gsrR{3g*jz9y z{Z}GcvhhU%>ql@y?yVf=HmQd^3;jlmseCk>7mwr9*j7-s8o7Ilo@XB@)|5G=5}@;` zR&b-@Y-)wIM|<}Qe~neAeKz4Ed~;i!T13U;QjIlj`SjgxlbzMKqW_J3GiYJjr_1+( zZ-qvY_O^OvQjwRFl_6*E@uT~MM1YPtzvxU>Onc1Frp6i6iYUMBrd&>jf*{Hfvj> zS&e8-RW@C(f)Ns)|7JP5+N^L zjm6$yC2N|N?XuXE-uwp|VUIwa3{pvofBNh?d&u$X*?qrdUifq5F+i99GFK zvG`7&SdG6A1RVMdg6y~FHwL$Zdz@<=i$G-xg z`)r|y1^Goi$8bR^y?&qWLiK%!tzl%*hSl0@j2^mQI$-!zkkWxHPg8irGxcFlNrb*+18=AHx5+k7>OAU*c-X22U1c@ zxIUuejyn~B7FN377ZFFUPc9o??YH%E@%F0tM5Y!?#9(izMfQ~r^`Y`sw^ml=D(?3} zcUSCxiN)cGBSqYWjvt`@h~I?jMjn=o8%Q;mzQ~b11@>Ds*?qp~R%hbJ{I2}5%D<1E zs7#Xldv8E(WAcOiH|`MGhW%8~>9=$Tios zK+pY}(NfK`lqh|&o@-Mw6X7HT-LLis_suPIEuaB~(sGG^=Gf*i=d)+Bol0_K&0Tyx zyC}2B*_eGYwn(zrq)|%wuYWjF@YLF%5?K&1<}L7d3ET$o1e1L0r@pM#rFq?l=f9$z z!+qd9248Vi&Mk3R>4> zMYxrVlzW&hY85e9;%GVNMT;JLAAiHUD;}%sg8c5M^8YY&3v)jePvQI+w7SXFvJNW3VrZ;_-2gIN#Sklf_pe*GRv!LVD&onbm z__pqX>{1Ki_5FR5tk)mjqwuQ{xW&vem}i2Qkzi)e3` zoB4j%i_b#OHjfw;C2uwBqR;V4L_Ix{&a>7kJNq;Kn4I)eX-jCt%m3iDoUJ@GR37Ip ze%asoZ&w@cb;%W*r$uU$&YK-v+=CjsQgSE$O>{l;# zyZg_o1}Pfm7cYsNI)C*Yk>AgdSUr?`I?8J-{VUYqXs#0pV;@R-7NHGRe`8@)WEj7BDLf?n z{i&x%0~Ou%d{!9FunWd@OVpfs_=myJIYQvZ~wi+4h z@UKn>{~3Kr{;~Xr$>*Mi*rKb|)L;*0&l?;L-tiri=rZRbp)lk={>7wIdkMvFkzwla zbb?@a{@yKVO8jA!o7y%p_cjRog9Zs9F38PL%}{*TjIyVEyt&NRRlWe9$Dqkh@Kypd z!q&cWQoeDev1wmB_8lEAaN(2Ou=~6SEeh$>E!A{`H%_2P;t5tA8r1SzPN|wZV`|Tl z;shS^Xp8(7*X;08FTsu%E5|zU3KOoU*6a|X$KLvjoRmE;XLzq71XTm(oO!=;fe8N69?Wt)J(Ar*B+29S)kS>?{`j&e&gF0zVKSP|j(1 zcQVwgHhtsz=^LUcQU`xLWl1K3EerM5^m~Gd)3J8XsLtbW&1zjsGi8B1J6#| z{@H)}$z3LgvtJ}spFaVeF=#(ny?{gN@&zll75wI%AMm#w8DV+}&82nmL2+7SqAU6^ zv{hUMYr1$;s{T2wp?lKC_THEe#i`zf%GDWCk^yaSzcj>-E?2j9y@urqOJY8>aj zZy$ZsDWV6yt9;-8PwN4Z1SW?x=rqd&Pri)-|E1zk)F@1YOD$n#!={IaJPUJ*sZq~aUfk3R z#?%CV5A7er5v0DTbZVrqu4xfJu%hkkR(YlbrZd3s-(IQ7SklL;uZ68;g_rcP-gmi+ zp@=A-+IT_DnoQ}qu5vX00F5(EcgsfEkwEIw8(vvxkr%!LHd0VRtb)LmGo;N?yRnu= z<&2HSfWH<(wH7mz+x)8(`T&kK0fcp8uYlye^Jd4*M{3N7k# zIFN4)82ab4)tLmqgIIjK_}~T0-$(gyi$B~~_|VGLX##?x4zv`ep3^L{gd z{-Ns2Zzrnk6e^mPC6Ofw%@J_>IyX_)G*7?K5+?q;bAzQ1nedprl0@1<`3$_Aej^?Q z``sGsG*~EpZii`6ORUSft*C{y)}z&%$aJO6H@kC`BxFa<(U*AfEnoFI$u>mHJGKa3 z5G;`oB{<1R{XJla3~2GhtW?l?#aimK8L0-9aA^Dv$#cK`66o(ps(Nt=+wIr$ia?^j z(?crK_k-qpyO0H2h}nB&jFnQ!4X;?kd=bMlZXabs4YqIBPXBloZB_7FO7N+c_u&&M zs#owDZR>MpYR%#$0k%fGs0e7!5an)utGrsR02erP-PBE+j8*xHM56iBu7zF8LMO-9 z2t-}%HssdO{bs{H)7HWoVixj%8kw>G&uMnYm*ao!O}U=_9y2=zS3i|>6zzG{X4R!L zWm{QF4?M9%oFCKc&>XZhJC~|Y{AGuKt3<0wn@DmH>%QXf_eOr|yWA$xKEM75c`AG9 z9O2rR>z%g_9j$#m|7`t_|4XH7CgCR8i@9?PY>A%5GuIlfhrd^lS(6AiBfIH&4+?|(4V}`m^>R`8*hXbK64iQ+)F~gapbTaMGGm~kGQ)JA5H8! z`tOj#%Qp#y3bsFWrJk6H=k)Bqe5PUMNqdjEsb!PJ%#cIK8+IG%>QTdgN4#1_K2oFD z4|5ncj#D1hM2{tc{R}-Ta3wj7SmPp3gKu8Fan$jGXZd1X%6Rx8PhHTtXwZC7*U<4* z3(m}24{aM9PxgtoNjDEpkDeR)2sMxOxiE_@wZ1LzubwwNSixJYxvP`s$pvz+pzesb z4;*tpwELX)`#sGeD@qI-?%$#h)@Q3DmC2L#N~O-*-z!_O<;@?F$#{g9%MD+;fiyow z=_=XixYc9&{(DRV8inOdtHN>tdhc|MR5oZ`Q6O?d+Y<0n65gm?aXt)3j7w0_*)7 z4bpJP&P#Dvlf0RB$~GHi9*C5;fdEqVF zkAnQp+J%??V3l&@3{qxel~zr1z0$P8!Ff)d6k@UohOPX&n}DcZ8!EHOSA1v_p?B_)WQGm#gyKwuawwQgSwahMPgRXy zi35op#X9sNqzuT8QG+D@oJNf{2QQkkyRw2S#^9$d@2sJrYp$!v8r>a1(%E%a}UPxJUMA0QHh`RlHlhhg770 z>?Yh`iR^b5uD{I6t_h+nS@6W(S#ZS)3w!V9V$|Pfr|vX3rtqD#6)3cxeTVVzKFz3o z(^pcy*2%3#-7e4r_h%D2-ZmJ?r4ClNS!P1dNBtYqYtrz*CPD~W7_Zb)LZp>-!pt>z z5nF$X4JK(E?#|%Wxdk<@IQxE^F=le59XJdyc-{!ygtEh@C zkDd{yc9tyY!Q8`>7yd2a@UN|svp!RD!<8@G!V)X5F|ufM>?YL4>#OsF3{HM1a-X%8 z{slV^r~f+huWIm9&EKu3Kj(R2#(}Gl?Pgu}x2UATWer=@OfOoYa6SF0$;tAVrt=K) z=>t|PY9~rmUAq*>6-CRoO)0(2+^;$lMikgF0R=NWlr?>%>HX^m)679mg_^#^yKLU* zkW;R+fcI*$)Ld1YlAf;2H!S+><2qt#jxFjJY{_v5{Ar+IU%P#qP}e9=ma}EmU2Ogm z{F);v8zqDLN#-{e_)?d3tSx!4iQK`+j~l3oJWWgYIPPg%BIIFq-cBLoyUC*3)TQaB zP#Qn=7mq_zwuCU_1tFQLM|)8;mWq^5RHQbyd*hhtr-^k=tHUfek_XWOOG|a=flDiD z6ZK8uS{p1lkM5YKZ@dixbmgDQFJky(g&Zv%M)GgM<)Uyr$1(o^g#-3h`YgA#Ndcal zQ8*uyv+&5MN)k0ws12VtW(Ht}U?kwJrZ8v?;M2;j`_9tR-K_~tF+Ji_5C!#75Ez;Ob$U?|m1Za_YLr`Xc2EjNH}vEXU`7}CjJDLp${U`Lzx z2%57(s>d{qC@7=OX6u~;I}saeHT&jnw|{5gWnd0qE7YN?ylyJqtmgk+1>74nmT)W0 zPZQloWpf=eZ$bMm*%@X2r^jplN4xf!+i`7&a?~@OmMbR$lj)|}Q_LV3<{&yP*Zcyq zFW%|mBb{U zfw&3Dfr*%OnyRWpGJ=xNi( z8A-BNe%eWhpx&?xaM7+XC!P0``@;BgHfKjV zfK|cwry~L{6&Y2mr$fDQ;2I0QFP}HI4HKb37bYm=^X`k$?d@`Q(3O9!PBsVzvg+)o z(Xtk~krw+!Wq%VSQ5TWoMk@DM2-f%5T4&}uY0J*5$Z$OflyVq)py-fER@&$0NISlCovU#nrT-Ei+TbB~k|E|Bc; zs*|q?z2EdYVg|OHLunIb$_3&0BJwM^{yeQ>t*f*=)@;N%X;afzY|-54^Mh2&I`oFo zh9+WqbE)W1?7L>%OQ?ToQeXMwA>T%ch@f+zb?N1QhQkB>6jdGONLG+#Mk^<08T=$K z{d8KCfSeb3t*jt0_|@zHFU@iY7c#)!;}uX=?b@Tg+6R}WeA_q={?)p=>leMhkIlo8 z$wB?DIY|497%Jh@8u~9o`_}uK7R7OSJQ zzV;>RXa01O6|_JK%GD{e(>yii#IFkK)0Htj=Kt7r{3t*i2Y7udFAsVCtp+a_YW)Y5 zo5Unv@SBzHcP6An?zp9@Ji#MwC)#cP_san4hXE_#LBZr=dNyP*X=GouGOF!VX{RSh z!!%Vll=b47j$?hMzO!cU)xpZ!zWG-if)TfsoeA%)7xcV;WF^KFqe z`s*x5;BTFYYzPkLK+U7X>PcUOdM1(bQM{tA1lEsOVM`W6&XGo}ga9>w*hDi#e0v4? za{Mds^JQ4*Adtj{q57gj8B$9lSM*rGre%1|funt(990UmU8jiboJ?$M9N1ks63mQ( z+Rg#XeT)=5r$`l28#Ui}h=uG#Oqn+gQbXWWlJ@G*)B2`m!&LvL&!_NC(IS z*mP|vSxMx=H7M8-LvwkD$xzP+^!;A7$+?WLc$U5%51q{%4sNOH$$qi1Gw|L@tlGS^ zT`?I^J4mnX_h606Qmdx&4Kaok@F{DZM#>xH;YJ5H{v_7dfo}({A$zwQKYo=G>h*mF zwj6o>CBHE~MJ~)^`quZt3@iGsk-Y`7x6ahW`R0e?`D!X!*Ke-C8@~l_m^+Kx+BbF% zF^o1at+i3N z%r~r4+~rk^c$GTZhZT(#MGK-<60$KBlp7B{r;)zuBImJ5*g>pski%b{E@atKdb}qe zeNQV9DAI^S+|Z)dQEID~!)N{>66~j{s??)8*u0|YUP}%`JQLSCnEw~-2-vJYSaJSV z@ND5XL1LcJ9&zfsQos7zGf4l18eAwf(WiwCFZrPGY>sxrH|W}U%k>_4N?S1l^XoGn zfTy>t`kR+%`S~o1u?UylpH9DF5fvzQs#5ZzCDT&Lt0;}bn?$PI7`Bo4@z0^LC4Vo>YT5vAt`ti zopIg!(ivsJhR}tBpS^wl{vLb|S13fc83~AjuVcN8;j;UDZRv6q*{bDOt#3-9g)L6q zM%*{;%m)oefHY9{xR^@U&bfk$E;=&d&=px1c11H^80Xe%^Q5qcZgNS9)E_R^b^?qFkVhv40{+EOr z@!1m01!q#7`U~-|ACezG`Dp+gHhk)gzxeRI+W~+Ha3bFX{~3YB*lQH;#7wn3PJKGn zo$ROMU{lHSYzr3t!QS_k@Ss#il8_&Z`7z_d4@CEY)HXLCQt=%|IL^sl>;JvxerNQn zp9<;?9JbslZ+n?l1;RWi49Z?3A8b-E?X)2D!FF@Bp=9{3PHc(8{7wVMmNqu>d**z> zFyN?)FTbsoODdf3;7UOF{%X@^8O)1yF>B=MBwt?#8Rad_h*=0=wzsLQKT(1hVb1vQr4i>|T9F)V#8-VKn39hl90)_KF8ZqF@nDy|;RcL{ z37V>d`pfuBH3KS{Z?a*(ph-?j9&jxwmopW(-}DgyfBMVu%{1Q5zUQC;DBw>{ac`16 zScs~UdjoBpl86f0nL9Gty(VYqFOgb0OxnbwzJ4rNw}sGRG;T<;d3a@4`6%}`9Hl!h z4#qi2?WMe(u|isOdE!}pdO3WwkOW^y!R5Vhu$6UQm4J3hC{-f&i(4xxAbu0tnTJmA zYYj|$u$+WI2(Q!LsC#q0M4SS=jWui;)z`zbF=$~3yx=v)9NA>P&GK1zgZvHzZVf2E z&!I5Y1_)d@*(aD1rXf65E(bq6d0V6oU#CX5C#UIyV?Zv{o6i zg~b2h^qw+-wI`drmELbl!y#C_cHzkx@%c^>c;({i8smDFS(@DbTIawQR!2|dWs-vX zYUFy7knMJ&l_7?@wF&z($m-B-hf?mBW##EJ9=@RYtN&So+kcCne%j$dxDKs#28!G9 zjnl{%6XfZSi)jbe9n8_+Z=x?jD<#A5{G722Lr-`+s^^jN3(D zm}%H%;&0w=tN}5hHw^H)4t}*fy!Bucg}`m#Wv-2@x_t4fMWA~I%I!fHMt>X}ZBEU$ z#$ET&X?b{`4r0i}i&-A5M}!3I_@%d;nzw3$J*_}g0v#08QY^U<&+Qc1%nbvHI(hBf zHP?!~HwX~W@Z~?hYHF+p&NBoh5JncaYL>${Kat=t>=30kz}l&pPSb1B7bed|+eir-4YF4mMDQ_V&YBx}V$Vr}Xp!Wq4YQj5JZ#T3~SYhR&S4u_iryrVd9l zPamDnddazc3krXQ{}w#U``sH+r{4?*`{1~^;xHyR+?y#%gX5`^(9LcEZ};#t)+~Ay z!$A6HVVX=CqI}tjV}g$=3@|QtAwd#f8ef7+ZV_V!H6DtH^Ye?+ebBj&4dMQ1{H(Jm zi6XSgK!VlbZFWmd#R2`_d2GWID@T9W(DBM*_2-_kLdC+PGCL!1shyXMy%M`bfTOUk z4Z;fg`*$B-cOxuCP&4LYMKfU! zf?@~nbRfOS{i6Ld>?I>|rw@kx-XUSAu7RxmAmIj$HQ>AUUomBtitp)E7{%+Y1u;5b zCQ7F<86g=tg7c-!)*4zZoZB1r!GDS=v^u8ds5!B z`2$j&@};e=;xqMzb2RY&@Egasb}2L@j>Q1%wh4pkk6+U&T$Y~Hp6!EC^%8BGdEbU} zh@0WguH|+s9XERYpr;r?!A;xi6?3LmvZTBm#4Of^36q;K9P@i6kn+Niai&D72I<)y z*b-(px-z}AC#(?Ti0N@hEpqV{da7L&;d)K1V%|4K=@YRU zq64nqL%Y+CJ#*`W!5FR1)-}c6BCRI)%m3iFx2gRK73-cVi-bbNq)3-(*|g96WW;!~ zteusY$PX}w-YFob#d&W3n5arr0di1-$m!HV4u{8xR07}4HqmEh9J=7}5tKWb4c{N8 z@ZweiS6%0;JyUql$^OF)7(+lu3&@2u zn4A4g7l9##wd}fATcZ2?AB-JkIYDXyiEWa2w|R(FgssUP4Dgu^PqmnMO5es|$BvZq z)h6W7;RJ;x;aRSWMMAYRa-S$}_MITz&1z7og(I*Yd=Rr_ZToEw&;d5M-+ z#~TkwQQ`<*4c_6K-{L#VWfT|c*w_qewTEJc3O-I-u?72$_GgvwfdK zseS-n6q&h}0XYN_7W$*y_oaWX{zh3UUV|u+x76jo;+Nf892lG5!%S}0?9LQa@TATQadr5_E_8n^S74HX*7{T z>j-wL_^*I-glMG~(H!W%O-eB!Bm?u1_S`4Jak;4Ix*0-hpo<#|_LQL?%p*9(=|AV@ zV`#I>$1AVDHF$EvwJWe`?lPxWtU(Xrf&ZXJ)_#d+XLWGYY6FJ_MQtp8lP%7uqL^iE zun!=wP93dfDU3fmKLT>M_USNlB%Lq+rN=vs z9e&Dp^N9qTjb3?B`a!A!!=UB^8_8sd(rxyHMb0781#`NYd?9_u!YOd z(k`2RXq?VZ-MTsr_A(UkZ9YM*#vbd{twLOnKmMILmo*oz|Ma)kJi7bo!u2XSp)#-9 zBgZa*bY`zvYv}>G{K1JYNU$pRtL)*yRKMNl;AnSv1e|Cb?hf}?6>JKd?nbkl*Xhry zWt{P@D2BK6tRv?jk2`hrEkve*U8tpc$oJ*jfBM6UVbV@|Wo56=y)LO?Kxaa!{xX%f zXYGO;^buQ{_IGOu-F@YAB#gXg6K1dE39Xj`SOBqsj-05ft`TY-z}=9Ywl?}_IJMJE zdqyU{AROKg;anY3ObKSbhHf9!(SL~@HMC+mn1!3X?JYxGMAw^4A@&pPtmXUDtn*1Qqq;HT(rysm z%;PjPxjILHFIgDajvpT4G^j_4TJKCvyjT8H3mZntU0+rsys9N>r??6@K!5$6EUukD zl~IhqHXss%#c%y$bIWInxFN!gt{$2Ht%`N-Rmzlm13MN6227MzLcw4McrC!Utkx#F zrI_iER<1fgjt{IfpQoSS&n@LuRW6uJT}}C%=b3{IljV1h0H6@G@zW=+B>R#4Kt(!D zj~*onqaPNfwM_zC%`CZZb)RX;ld%)MuLFio;gO)k+kgo-)=&AcMgx>B93uHNyL^ho zU)Ta*3JQtzm${Q)7aE+vGZ`E!WVaG*h*@wgNdI|~C7T^N9Fi)>XeYXGE$k`%z((M7 zlPnMYyH1gbFU)=Tz#y?HMZ34c&~Vh=gU zOOT@I(NELR0t> zuPa9aE(PV`37in&?Ya?^wzt^ZDC;;Re8RUDiIyha$|X=$^W&?Z5egv@`-mt{>#^+# zT9lY5ZSn-^(tXS8!CFRXezfB|&7;eF!g=o@QIUP1O?}ix!`xRSqPqEcuy%%~ylb-w zWX*u{2LRs&E4F&>S460x=!Hrz&ZtAzy_#GJh%-WkPrTeH#Z}#fm93 zf?N#52%hw!oO>w19tb!m1Vig}$)2lJvi&=HUOWj=>QVZ@IM5ml1a7#*6FqoN)Uz%gOSO-GF=q!3`iEXQ{q#w+|?^*dx)($(2_G3Zv;e+h39N8XL`#FY6jT#*~4K z0g7*mj=46QsNWwEwG?uWA1oMJvu(a}HU}SllkX-J4%x}$)Vn#|V^c~cCZC305qYwo&#r`ldHBrgtT7A97=5P^M4-rBx8sA3f0DS<%ns3Q*0ecvQF%Jg z6dWVa*&1d(hcS7CO6CImDU`GPL7n@sJSmj_kcup~)7XIc-{_hJIgo>e(uwH*oZ8Ue zW2%wJfiGMspH*fHgmW-3ncZ+1q$l4y>jqJ6q z4})V`s;z9d5P~9pOxEC&=w-Z0P5Ql7I(h+?RM|)f7_I+^;CNnT%-RJ1{Bk!P*DK)v z)^Cu!bKnlbm_v1Vx^%&R)FQD1@#%qM=k4SAc7YUB!X6b%DY2aK<`ZbKBy2lF^5A61*I3TG_RbiITChrLPSR}srkcblv)Es@nYl&d)&;@O`2L3BM$BW!M z?AfO`{+a>B3k<;dy_ISv4(I41`?Q)lRKP>>&8P#86N#rT)qM)`N6_B22*lQVYvt}Rd<1RzjtU=0T{j3dALb`yX6ZR8 z@z_f>T`59Jx(2AQ@a{X~})%YS9HpMli?Cm_g$iPx03 zJ|ee(039C0R>rB^MJiGI$`Z^X0NvFd-@Pr911rF!pj_IAB^CEAM|s;oI>-0g%Dg8^ z>bDzW58bk(H*XB+6TT8<3m? zP5H{|_kHST=MCwY;s-S^Z8n;t&%F&fo`GH|P<6Qc1?n|G=}>^+xIsQV5o$ZKym}d! zHpDkHS^iOWGrF7m7(}8_jbxJIQxl`)7iSUXY{;%c!>H!?(;0nuzoX4I5|zzNRotsx zf$S7KPv-QWCC+R$}!7K1`$P9VTZY>?+6u)HI| zEmkqB-)B&?i`7IVQ7!G_Mt3{xI{%?F7@Sd!1^+B4kIG3rhiN{sTJkHABaQ5MOAd=A zBxI82^f!B_f|Y36#omE**?GF#Ziau|mOGOj;uSjo$$QAd5ADF5#}~Ddg3Y(8d(UMfdt2}G`Nm_v zbAMR`gZj{UGg(GGC*4CMc+?>EQ%$LYqUvEIhFdA5-e!BOE| z{mp)V7VEE|OVye$wKV;$yT?0jz8Y9J8xwgaLQHty1;Idx4YOrqO#zf;l$h!e7bgP` zN76#+^m0;=)iEdWvaBO*34@}}N8OyC3SErvg3DB3kj=4=heNjgY-h!W(`}F2+3MB% zsw7)!m3Hn{FN3@4mQgyd)%`WOZVz8)Gh~5PidxyAbH7D&}=~txoxjrO3 z+C{vA*)?1)2kFu#ZTonn#;0sir0AR_Y1u$lefPR`Ay5=fMB`FV`7t-vUE&B9IpTyd$$NT)4a_(Jb9k*^Lhkj*NFJ8$1aP zgo+k9+48n3kCqczGy2T-2VJ#x+4+s%FpCO63-6WMS5CJ27CLg_o42ja0bOsH^6TPi zw9~M;$jgFIe41q1uTcN;7hNLOPksOqH^}hgH5VB$j?w4cjXxo@-&Nb`-?6wfw-mZe zR&J;+_K=vVPW{Ct|J2P{3z)6(lK<+!Ur!qoCxijV9tg z@*kkr-n!1p&+m;#qEf95SLJ`WaKn6H$&u_;!?wG~;+5T|-Skulb6b2*@?6Q9C(@+N zx%TGo>U#zrawGWN`PRtSgTuV4zN(zCFah{Dkwnd;g^591L_qyPA6@w^NIdQ%qDu6o z%;(y(J?^S*hVexr`*xMhJ!|WEeMHn~m;W6<;Cjf?PD&K@28i)K8Y1Nl^k7uKE4zAQHzDY{ z_l-dOfsOu~t1TzIKkXIX%DmnBYe1FU!Bmj{6R!bPx#AtZk+^$%I#bU=?UKjPb_j`m zE%;Xr@q7jKGbA1N8o5rsVs%A;~rAXX`T^_CY}*99)_35FOdat`6=WK6=0aDgQUWB;U+A@JSyoI!#B& z7+qFp`Ej~<8+zPJn(0&TP-?~3JZc*I5e`#gZ2q3Hb~Z8VlI?TBl5eGx*d(a!gXu4= zHguSxnDS1EyP+n~t4$w_R#i?Es@~N)x1Dm&dGPNe!}#Xykb3sFUQH{$bF|cW{lnXO zyX~$xImXF+FQjgo=Ov|FuZ*h98@gC=IgQkR*xA2J`@MO~NJ|fv$n{ZhqP{q_Xb;eI zKy`AiQTg_a6*{~6-^sisZs!WjL+f-9&X3a_Ej)E$x~!$$ko)dY?oab#a1;GMjPs~_ zR32<`Z9}y?w&LUua`W(Oexe9(8B~gTni1VZHf$sFu7Fqy`01+a&Gl-@=vQ7VaPTG= z7yLzwh1vf^sWy>L#efWiHo9h?cf>^kznK`ISwI=v z6Nz0MzSn746PhBzZTh+mgl@uP=;FmOhor3kv3XT?nk@tD__uUN-=RYBtJocn;zZ&i zg3n6*C+f<9hajN>`Tf#>W7Fm6r8OW0p90#A4}t*`3$L&``oi?oN1b1Yc5B=xB;>K! zwC!vxpw(zU-O*<9JgC{{y5ti($lQV8oT2~Y>#d`r`o6Gn6%|1NDQOT8K~lOwNd+XN zr5mNY8R;58K9qE+goH5CB{kGAbPP2#NDa-v5brSK_g(K=zqNjU={{%gXFvNn=bm$h zx%W=Kcb??5YuA&m|J_M7Bgx1KB`l@-cQE^O=J{dw&ot#G1@@0L)KZPjy2m-y5!eFY zTNIvkV)(g^vRzM4P1533ETRqu~1~0 zN8<-Qih4o${)-R4Mo3GY1t>jV=Bcc?W{bBrTy2kYn6&6CrU55l!oe2_mtLa_v&Y25 zerzdO_#$oI2EsTn^-;8t4^`AlTCj4>>fi*P! zEa?41(A0lYSl2BwmCU2+9uiYVG=6pWl!Q(lTN=zr1-r)nN&OFyfrc%1CIW%NIwe!?(S|7dxyfii1@N|V#V-mVX2(ed9^ zSl}tPU+j_ij;ycUcV^F~s!O~S7JKyRYH#h%RugNJSh6{lg@JC1NI*lY@lfxkRqe@_98H~@HDAUELaukFOA+?zx_uUtf^#O?_o9egMSm&L~ z-!%!OuKb>lZTLZJ7k6cPF&u;bA|0D!k6GyC&_z=b{U<7P5#V`Mr%l_AnB#MElbcOu zAnx@{WjLL{a5U#kYA{uZ0cpzw*>t-{Y`~MQ7BUFsY>V!CS=u)F7I%@cCF=c43uilP z;s~5f_;utD9~j0Xee=TejD64p%G`);Xu-+WW;KTG$L0r`eJZiGt!7#_#D`x5IAlJN zrVRaLkKW#^L*23*2(Pm}U*U@zgSgnsd7&QT4+SdendfV#@|UQW4M|&{EJT_Z?iko> zICCu;Y90etP4xo|zjSv!;V8Gt+}eYj!t^8*II8SpZnokq2kx(u@pZ3CvC$yX;k#Dd z-*H8HGB7(g`fg@egn;<37@gtwEHjt{n#Vb1^j-pkK*}t;^J7Q<~x3O9GKXbEdk?tAX_HfC-rR#l}w}kEXV;T7tL*DB6hO;SD zZCQ5FgPzDKavpy?unx&^ZnJkj(^F>i=rAq@LaEQ{$|`sW${9_h&(fr(4hK4RSC;L{uqzCe`+gXh;4{65lFAuRm`RsCr!Sc zM%=1Gx>*bSdAj8TF>S6*_X3=W!+i+Z8787 z0CRvPV^|0VI_%M8E0vppZsT71F9z5jv%_u8cB`nF5!7z|!1j{OE9dyx3XIFl=}1#` zLN#Ew>rti|o7BxtHvwTJByvKb^y;~>cG8+KLU>nWSxU!WsgBcy=1GF1$m0F~`n4aH zDOt*Fm5{akoXjMeJVo#8H#=$OURE>b3`20SYT;dQ=*0Fr3CB#|`sLtY^fAFy#rEB| z^1zmvPm^^mwIW$JJGthp;(W%wVltCB##A&EF|tzn)k&}CDR#4S52!eu4m?Onu#o?dfQL4|A;2C#Sn?O_I_b~XA@nlm zk80|sQl+!HCcUE^Ize`ddm>=$TpCLMphH;SUKSE__5R!zQA z{=O90=L-pbXLUV4A^y1y_iS*r5E8qb&)2Ie_f>>Y}&t!6FJqDyqVYKuvG7cY#%4e$*iTQ zzE2QW^xf%!N6;T@wkPPz?8c#Zn}?U1$XXJ8S>8kop#Z3c6#KWHvqFHMMJ%1tOsR{@ zdGR*%=W)#eF`-LO-ZXUt~^ZrBsk%!kP((Q-%B)^aouje3QO+vfGdRE*gt^dM=a?Hj)iR@@jzD5-sl^(=UGC;Y~xe0r-E zHH8mMI515%GJ81hf-RS%UoO}Fml`ej#BI&o<<9T!(*nJ+1dJUwTjMW;o~oSu*U7!g zUDPr4!q*dVkfdsQQH{8m82B0w7d||Lczg=I>;MjbeKfQz_|; z5_rzVHNRjRENuKHT0^t)QUeO4ldU*sRBQnQ`^A5CzUpgY9Y`U~qkn2@EvyTr6RhNG z0*H(x7={+3DE*gPpZtsr{j3H}gE`a**si|y?Ch|&kWTjHyl1p=XTaq?%~Hwql-f7r zgy1;3Q8s29JeK6xORddHGWWcg?W?Tn#~VxrFtzXW%CDJs?h8Fz8}Jd#!t@IejTzKv zKPvx_pow<40Z^Tm{EOpspuH}Kg=Zpoj%&HBU*ei?E141;&R2nJ{xL_EotmX&%7WL{ zl_Z|#-5TOd3C5<;MIX~vH6QepwtnjUBf3+X`l6&F^Z2fXQ(J(06v2x_`$M`ijr?fI zCm~?}!AEqRrSXGeZlBUfsVo9`1DwEt2VpvQ@=PPrwFeblejnz990m6FqbgdT}-##R`KA&#Q?0Fr~ zeI=;0{k}{|lyx9Gw8G7^dONA;eeCzlyxRQ`rq<0Sn=X$6p5#xQt12tz%CfT>ug;l| zzM~yxPu(82L@7^+2q&!woWCyyzlW|65gOM?|Gn17oB6B!omyEGJ(}|^uFXY{D=;CM zQILvXlXjlvf3aqQwOQoD?b~z490A2z7B6g=C}2wLfdNuWLMNL_u^ySrHRMx`1G8;l zqnq;T|Hz;Fst;_7>(pbxAAUWi;!aAtlhxRu_47US9ygRiGtOeIh0iNWi{m}?O|Mz# zzGycmYIF96Z{}i6(KKM>$CJC<>|U63-(WV~$JYbIFBS<1OtfCCw^QjqPp*fuiC1J| z6j+3a&p3CUG3`x=XjD_%i6$m`J8s-Em%1(B zC^mLD{B$N2x`+R8SMSi3J zvkx0_d1ldh{BhnQ66b5|ZwSMp+&G|==-n@XX&XLWxNibDs^nUaL9E%U<(xFjikdb0 zisSs(l;hvW$FI`^kA&Xhjk8s5N$W&}zpQ9VzMuEhs)9KG!5^l_MlYFhruRAVf}KLy z?)-YtSv9X#<}}Da<{w11rVz<~OaE!QDfsYp-fqbHnkvSoUY6XScguYIU)E#oTUDOe85<8%Q8q050p96kk8Yb88DBh5k~z`RQ9Wdg_j8L$T&4)iMj=&&3lT$ ziy#fE&y*(2a^#;lSJ2X?nGg#Kzu9pLEs}{1%Z$42rWpJ!@vTQkMk^021H}VzyxrJg z7{b#C{Xpy*KD!sv0UuUqPDp)F&9s6qHD=zkb4%aI8~5+Z_nUBL;V-HS9YUIxX-!&1 zm0$SVfLkFN21LQ?Sy&y(rR;JD!$+oSJkg=@q=E? zu^8{4Z9o}E<*zo+vn-?Stt!e#^}47WX<{OemX@>SH)0$AWuP-^OhF-j%dBzVAkx;Z zwl9@~nqE{vjM&HYdeX=`Y-D3b?!EBK!Um*9n|)(!w^-}uMYC*_D1m4Ln`+E4~#l zYf+jWct42n8sa;IwfEPvm1C_e@vYd1CDMeIv~HG*F217Jztrz__HJHX| z@IvEexgzcFp&GkgQr{d)X0W%E{ntzvV7HYNrPR1wCgG4&bP&I47Hg$dpBkTZHU=C6 zqF3Q-J^H}fFxmvKA6&WOUIlUq0D1ZbJ#f$mR6t9$ppw>E_rXwaGlW73D5w4QyIeAW zlZe17E;gog?=b7pG@HgML%%HZsX0#hN+zuK`}_Pp>6D1)DK2ZKeF0sGJ{FxnuA+qm z{C#%*1np!AsGq6d_*3+~>hE6M?VqU)!#0FiEHm7NKdP=Pm~KAEyMcgfQWX?$N0VtD zsoDD9@Xo883nKVyH(0u6hqa?F5gR$KEtg8v3?&y9KDIJcZ%iK`6>W3(^ZEo*T*7%m zZq>|2!1!to@-}|wFB`Hgzl#1F_u@wuk#=Ea9EWGkM7D2^L_}p7idWM*4bzCC?~6?N zrO&vRJE^}eJN~hB8OYuEl8PmAC;J5m5>Ya$*PT|ovrk0tPk2B}?NzL5LANeLb@qhV zFr}f^Ep=01!Xrk%_ zPS2D=Z|8|LSUh*CdFHqPSA%8l;g9m&0Yp~0n<9!puq%z9M;e%E7xh8-=<<; zD1S6M?q?p*{Gs?cpSkHtyfcOY+<{R(U?Vf21unSzJ_{@c4dolM7SdE9?kk%8E{5Kd z7ME_d3I;g%psQ}wLQBDKb{=$(qDmk?kSZZvjqmxng@A(Acd!yvo=-jg+9#wZmRP&E@;^6VT9s7j+xti{=92do zET@u*ybTa*s`1Q`St^ZWY7Wst2p_+9%q>#zZ7l_|?>b4DcvpxtdJ-M}?*BE!SU$UV zSJs??8iTM->Gt+6JRT-k%bU+GsN?$lKbIe`?=dnbR$^_dW`kJETXf(WD@`OcvSduJ zxBd+{D1C;Yb_Z*weRe|bC!(U{F2R^?Do^ntsuve@)h)@*S~rX}aNX4nNjL$a&2q)$ zEbCJQqY;eWfuWdAe*FlqJ0C6kb6@yd@MxotzL|WDBZ1xM7a4yCrLtA$uNaOoc8lTm zTiTRBjq}H%|Kso5?sYHyg*ywR@he6PV3SX1@Z2wqkig4sdpwM~U!>cCZE6}o%7)&= z(cQWQgw?8-Z{sff=N&7P8*ljVe+8L7Za?us{nFZfj}e&8^^dlW+A{?qtUa}xFtEXt zgMK*&nA0s4qluFAvw@I^ae_H>4h-yiJ|Qc8IRzUWYGkCL-DOp`Ge1Iq5-@)sJj$tM3HN8$~3OJ4arYRgnN*$qQY?^W2lIXYlX^hcf(|GL9j)n}Vp*%~+S&kp8>o}KdU z*X{#v$^mBGdrTW;qrWrdqi|C$>E*mmQxVtUc;!Cu6Z?drs%%!>79MbhrxA{@E>l;7#>#J z_R88Bcxp2c87nMA=op3nt|%x=+^4w6e0WuEENwLi#mTU}!jfMS$t~-M+nyGL>*E-U z317W)7nEsjZR3TB-9pvNvl|Jx%&PuQN349$kCsoxdu&Jrh_(D^NiT$jpMo7NJ4`#V z@{ntDHmD%Qg?4+%*uTjLVtb>C#BtJ5_R1r@%JSqf<%pm$=SbUN;TjyZ^jMpll3i2J z_zh&x@A`<}14foGHT2cfRbL36afHKOCkbS0+-UG^Rua^-nWnamjo|Zq5=iUmIq+x_ z%+FL3y}=i>$yI2It77>Auues+E$?36e{p|4Ex+LqSj6x|F)lnMN!V5p$t+NC5V4w2 z->;?z9MVqLFQ7`6=8OlXbsg2@4#4c{MuB|{DT?sru`T;>&t~mE=vOLV{gUAOAUW$@ zC~k)JR>}0Gee?C5H-eX6JPp(D>UGBN$4)d|KMJ89h`e}l&@=q_`K6r9isb)1_+TzL z6>h4X>&^YT=^AGp2R&1;lmg;*@r2j2whAk135w5E=@OIFl-iV z9}-OK554|2f~g7&JvplA1O-@|@eLGRnE6M-jw1aZpYjrFaa zZ1hW343EgK9yk+LnDJ3qCF*DP+A%&Du-GFMdnA~BQ$tbdY3bxHM}%y=ftt0mNA}-? z!anB2-jiEi<-#-Qi>xPyDIPeBC*87txeobiiHYgyOgg=Hb!ELRj5Q4#Q^oyOD`?v9 zX4zn*mJpy7g8FTDtY^LHmS8?F+(4&={{FT=SBgg5WSCF{L&F&&n!$kF_S^$Z1Kgr- zSWW<5X~VM)LF_;^`P=Yh!P`_uVn+ZpOxxC-cd>d+@{~Q#0jnF z%C|>%O~H^$>PK6mAYy7vjwQ!-aVD}Hn9w)IR(28{PSv26q<45}Xgr_tZoo{)Z_W1w_!h!e)C-VeGdBlFJL3S!z(MXprXqWMgx zYsuTT_k?cIvuEk2M1feC2e2MbQS475RmLw6n7>3*uRG~@9xdH6?MX2bJ-(`DbjyzI zLniCEX?5sHTKFr@rC|knTCs8mr~Da7X#1gP0}Vlq0<}MYTCzS2&>Y7kv*5moWq&lAf|Tqm0bXJoXp|$f=tjYhi?{lywc=VbDfWzJ*Hrdx_r# ziswO6c*&TeEVj3MvR}73z0v#hKTJpEawh;tj0Qu|0=XnJ;c_8Lg3Hbjna$?gfquf| z=+q`7N*yhd+OK)Gt$$~H4pp_y{Cst@)q@}_@)!6A% z5x9jlzmSx=WSeh?oJa(~%5#s;6DT~-r=bruhm9peTnzVslV#seni|%39Fuy$fff)qq5VCG7}e!|NTj# zg}=zm?ZY{&z1vcsC%M4O(MXL!H*=O;lJPp{-E619+PfJR(ghTEKHR>*rZ?NRR}A$& zQ;|YHDtuE#1qQqb>$$ zngm`vhE=uw#|FK|Slfb#*Kb3`?~lM@_)I=)^!!UI!G~)mwEYlw+q$`9xp5j*=@sN@ ztIJ?GW>CJ0m>>PUT&d6fle<{6i8n#BYwXR!AdT2A#P<73*FFu_L%0r{)?yp#{1~Sn zc1OPM{KCw>3Naid(7(0+ZdVdhKXM= zxUMKV8~EgS1i|1e5g>V)mF)ej@R_XBpWJLG&brysyb&L>5S0YAVW%!O$eXqLzO;!R1SyvJ|lfOejBvWMK{ zCjRTifBPZKA?*0i6Dqa#wQq{`@rwQg=eo3OwFZyCQJM3TCEPFfTZ*2+4&5}6Q&>S7 zTgwp0^-@AaU0Ks$!vd;)HFD|CUxNMPI81SnOD^`$k5juZ^A~Flq_*yK$acV8o4aYQ z%P{_b=HOLf>g~cyt>l;@C=KJyvK4pNw+;gWordYwpEc?Ps z%3tve|L4MW2KCNd7{F$HG#D>kS1AQ~iN46tjQ(_@egGV{IBD(bxSCAdgW8U1n$Nle z2UNzQ{}J5DY+hDdQS-zO_qG|b%lUH=>eAHHsS7)P+!UWfxOqSaKb9~hbRWW;#U^n4 zZ2#e}h6CiY=X{^44q^Fp!2NH<TdcIUD1w`r}*k0J2fTlL9%2+V1k)I2rdm5&kn$DT5AWg@;!g9T8f2j48Q;@BOFNsH11%uB4|S@v{IvtEuY?*9pB<_D`;eC1x~n#8PHuzK zyM`tLuHJ`UlqShJX|1h?^0$l^pvb@}*^Yl6>4!w+HZ9#k7yxdRf#PVXXb$HB5kDbK z3%)ePmFH0PavV5ObQKEY3=K=p=Z5y1G zAv_WO#YPj`KL@JO)B8iTSG$Pmu8iQ~=q-5qV1E;>(I5o=97-PhQ9Vi&-iwwvHGk?cj8Qq@p})JVDxm@6K2oXS>Tx$=D?(DL_N0lmRsaG_=vS> z00twkak%%5r?BC(5&34MOJIGkA#62!`wLn7MD6hXtBHU5NAN8?>5gkk#+Gv*fY{!n z+v>{Pz>@2~n!w-Z7f-P9C1-zyO_7TJPAS zYj_@*bqa|v!w#!UIZhVwgcUU86UO6m4!&e&zLECekf~)J!=rIZcEF^S`=~jGKT8~g zN#jp>n)Uii+U`Y~4+jvdHGQ>XQFr4P+&OG9odsYb!feC&dK~oZQ+zl`-5QDV&Fsjq znRizAN%E=5G#KEIkHA}43O~(@4(Tg^fYxTsC3ez1!_%G-;3g}k*$gyZrvz>I7qC1Mw?FH!f39roIn72U7h|clEugGU+*~_FSUQYNg zdW_K`+-Ep}SPUEo-%KI2M|$0GG$Q_&z-}daHAQPeceQ3;`I5nX*#TLCuFvkmyw@M< zeN_i9M*%~!6gdV{0@%D$vOdOjc8L-dFXf`MmM#ydkVU%b%{SqLu`Zfn}up-4v(hI%iYM5E-<^FVy91A+SDwg|2VZZU`n z3(;z|SV*~_K3ox|o!K58a#lx{@8yZsnzgzR4jw`e%S4L&yZvpKUdpmrUyh4zsZ$fO z!+9B~Gas3L7=>!Yk75HlKrB$EyB7ZcktWaw(40+wZZ*@Hm~|3o)hvPy;|5h zSW6Y4C2QgEM+N}g+NVSi-d@JmQn#0LZ!qd{4T%mi)jEmAu|@esJ^|TGwueBod-oVIU z>uw@)cW*Jow-DQ}T2YYgzMu=n6T^g4`%R57cFroD$HwVqA=nwx z>%hpi{*?9jrl06BQHB`6PZ@%vnOUa6vc=>BlEaiXka(DG z>FI|xKjG!%z4wb;H)_c)iEbaZDD#)Ip(zCn_Cur|se$L9wfwxx(KkVhc^ubs(LTb` z?`(d?l{Z-}5h+e2-UqxhGTK-2iSp@RfF+)BZ}Be&&|z|BmP_&8JK1?TzlUK|iMx`a zkS5{Xf@R(D@AV31chRzU^b_*lsy zQSq%T^Z=mwQPGQ4F&HfHY{p|H6g7%P#4o>*#tMYyhQ7&HrBO!80X;q}Yh?%ZYGty$ zc{pDdfyD=UQ`8=P?oui;flnU1o*de3M z=K3gXW-~O7h@&jvk_k1g(DjA-qxaHP>zXBHMf z^*aCBUgBr2YW`C6p5h`!2Ze6jugGK0$c|t1I?V=WUFh;S$zrT7Rmp9d-lOZ|^?uU% z`BKKnt%GARzMW@nHk{B%HIv4las(fS;Xc~!oDD)6IpvIob3`9PaI68#cd83bAc0TEugTZba5J-K zHB4O0>6K0aT|R5KNmIoUx(udq?+!6$1W{du$*DiXr>hE)L5YQb ze1x&#=|y0ZiNG~QCXa;ae8iHu=eGd!cKt&@+gUr#8oeJgq4S`R)Ep*NUwxUj+M3*O zofIQO(^>11#Np@B#ILrs#!m2yO$;L8q?@_v0>yUehVpoPGA=N?GqQW3>tUUyi@Zy= z&!0tT3X;4#b$!AaV`k2z_@uZvcB8Jqbxa~A-hck~Ui|r-xU(bNQ#az$a)3rxMml8n z@3*w_ma{?miTt~>wr8X+7SeI5#W4+?>k6#LuS)juiZ(uGmq$V)oyd$Ig&7`NZTg6B zRu*#P^Dl{q)i!UnDO(@9%eyOFR3#b&5I5$_+uU7BxIHG(%8)0MO7yber^9LY!BCV9%FE@||* z`Du%&@V7|0B`)@+bWBQst~dIwnRX!wfS>r-|7G#|BONHXz^8$UhZ*!bc;l#f1<~%C zQOI$?$Cq(AH|k;z;9+Y*%h&{js4jB#{PGhA2wdx~SXp}FBUCJ#ZCGP>uY;TJrL`ht z2|4HiUd^E1jO&|dn&%JY8BjhD8l^+cE(@?-VW-g4Fe-TRLTmr){`Bk^m?#eN`N31# zLzc+Po2G{C4rBh(iBj)K$eBmW-O3zxdVXVZmM7PePWYfZt>?u{yvx-caQ=OJdtAQO z7(UHa?fvN{t?l{*vm6?Byr0((=_#6okS{+ALKn|tx3#ZzC9Io-*25EM(%yIsq&__X zU|G~;=7Jz9W4qVU-N4B;`P+29OG`=7t*BNEKJKi0g;k&l1|jI}ewVP`>MrTn<{SoJE4Sm0s>caP-=-W9w_+*EC2^gz_H9Izy3NhA)^pKEPSADJAOn05drw)$4() z@Fch!fOqTHSuxWy<{}N1uO1nJG4%E0YMAcWO-P7ZSS6&E@I+JojlvKjkXF))S;q&e z-#e#vkMUvfbEfbo^CWoLUig%L-)<0w6}$=YiRR|Z(XXM3{sPQhiz9s~?kd?6?m%Ds zp!dNi&QHBABD}MB)J;AZ|JR-TGmy?G&R2310wwzF!D0lUE;=ET!JIRtKbVN~fM$)= zBTk=|Dfk)&an)_G#O#Za6fOFtcqWyYssblp>c_f|a_AnuL9lWoBxI%C^V9n)9 zHR~WnQhk+PM=XbJufdOfX05EdU$A9nRl&YE9M6Bx$hnayU0gK@=apHmxZ&YV&FU65 z!{hwhpRA+2q_smW?+Ql${oF1B-`rj+49>Wxn^h(HMbcNnPGM_v#07 z$l#RM5Gi}nE3p$ZPoAGw&yYHMgD<`aUhLao;{jS%9QoGod2C@ACTAS2OEhtE%{&Iov7EeIl$-3&>4yM zHzBiB;q8%bRB$4Kc}zpO|E|$tuA8I6Z=y7W{x~yvFXi9N_dTL}KJ!J1McD;!z;8~o zhC$Ns^z1OHI|FWad+|r8#AOREr*I+FPFLU1{Wb@*=#}{5p~}R?+nW?@S3RdviTb>) zjc18WRLpay0XT%3(gWJL&j|5z%HozV^{|1Yp2-ep4;l2?$Ww zS8N_iYb6ah%#g-wA-{0DN*UDM;zcRBV^nfeTKw!Px+amcrWP#=)C9wKX&;cU$B0&- z2O)y8uy4JlzSWyR^h95J?BcCUq)Q*KuW|3P;Sit@*1VwJ_F|nP?SXK&&Q;_b2O+O2 zmERNy;qm*mgf#z2pC^xqmUG`qe;G`V@8VX)!oV&$8W9*w`1i?{k9D9H$ghhL{KA4r z8Ojq|$rt%Rpi!6BJkzxGyLw6$`wwW*@X*rl)Oha-it{w~a>;VkhcV*$jesUa3F zx+VNm`UN^?+NF`&_9Rf$6F@@CE@EZw?I)xfr~72gL;&y}jmLL&vVG=DdKG?=g%$)| zBB9rA=TD2xh+T{o7q7bj;X{#Plb^TD*CNLBc#bSVerlGS740-k(RPkA&sG5sB+qL4h@r_`@Pil>j^K=+(TnB30~AMD`tqTf%N)I?MB@uQwd(;GG>~s&iY&) zZL~%Y!HI~IjDYaCi$I8tt!IUIo45Ii*~T}!AW1`h^BzpYlK0^qz<`w1oYXxY{A>{v z!P=l3PPQOQ3ytQ2{Nh%60A~~r_0jUFT8dg8ko?Skace)q`ZSsX$f{6iEV{rw5#gtU z$whiKYqNOPoe)8Tsvh)-ncF4jp;V)FGS(+@%|aglc8vG(7orYhShfZt3>at1V9iVS zmZM-1Uk@cFKnPOS3~WU%1^zLJjJhOl{w2aF@7F+@c0`)^c0t zp{}LrinB_M^|v)7MD_Oo2{{#|Xdhm6ud&TlaOEQ{IRWME9`%Hdm-@diV558h4nY{n zcnGW`w!P778+qcHS&>pi521HFF&hBiEu^ePWKATD zk9bS^NF22gZp5V_QRj_*Fvj*Z9qJbpZ+t-N2JfBaO6R*pe~?ppKnX4=0$}3g*;nV< z+(Y>Br1%D(^5B(_d?wEUBn_5SUji2gr)|M(nxcWYYfbf@+?sqqRJ zf^K<5o0<8R`nPeZu8J5qz@}%T?(x=Ks{Y%lZ43a?MaB7n9}*IG8%-G<@b23pWTZ|c zRkXeen^LrvMftP&D*-W}FiNY{y4B0Sa={<;XhCuN&1L*0sI>MSN$+s;mUvX@Oajtm zU#)|}B9F%S$B!&+@%Psj*8+XkZW<2I9u9r=$m@?0c9QP%qsyO6ZEOD*<9H zdVEX15g;wgS@GoHy0Ji!b9Pvfa@jIMWWS+&78HhKo;U>@Rnm)`aR1M&r0`I%Of3el538uv&&f_ zAT-KNcGVHYd@OyU=4KK5c3AOz@;B&{;wJ01qE&Ml|3ykd*Kr!%Gc;n(F9xdYc=b*^ zzkn?&WYf6XR6N92*!@-XZ9sRE*`d$R8;1+JP)bjMSw?Z;lS3V8GwE~3R{h2LMU*rk za0L_cNNT$%VEqeqE*@Yep6Oi113S5Tg*9R-)rkwhX5@hI-XAgFxZ-r zmDGsoPCl-Q8_{hkE$=REbnyHZ*dAz!M7~~M+!y@?@|<5{?TXJd@h2&qB;~od#AKsY zWzs$Vnz)9-unRD8npl?nNHjFQ^RGAiZ|d;W9hU;%dGo=p`B+I#Si6@|Z7ZEMy1s1K zJb}}^zGsyqYAgU9fVTVB=LJckpk-VBj63UPCy*0IsnlocCUiDtlU5cXG zrp7BmT(nBaeI)aZ#-RL8+|EcQjY4>ZhD@-xhh(aw*El!bF74j66?k%{zG$w}C}r?+ zEHziH#TmFY7Tx>t*l=ujikrYh&TfGNApBgV#!aKqqEP@vLlLpxXg)N-i=Y6wym9$4 zZRPK%b8p*6W=7QQ_SxOB_NhB`Bu`l_Gn(hl@ruGK?=_J2&Cl2YSNu8ZvE2kDosSav z)t*SY&R`tUkHN~l;m1qw%CbLypfp(U3hmuKU{<5&;n*>}fgA8m#eqxP3>{x;qD)aP z^o`F8N?V<3J+8;3rUH>}(stDm9L7yjgH3OK?~op{t)ahy|1)^r)Tv&pHV`sU$XQzr z?1xcrRXzQsOQ%QoJALrfA|`2$v^$&(=E-SJ-{lWE;fAsAyXA@1IOTl6HHaTJJ54@q z+;@rGs@@^pVwwwEYk#Q@ zs8Zt{-q}?VOtVJBUmr0PE52d1PwGz8Z7_uJCX-w%NWPXb15I(+88USc1j(EbRbRXQ zfzqAmf!FDhCOuV&z7S1u3Xyb`OD|X0P!v{qTwe6;rw} zQlKAF6)@2q*q3^Epb1=QegmP?l84wk3}Uk9_?yvYU^OAC>N0mNu?5T-PwvqfQb-FQ#8R8#dJl7X)1a^q+EFBckU$ z_NxI4=Yj=-RzX#vRiBX%V9*6z`Z}3GM9Ry>Mfl-R5Ls-Snkicz9_un zkp{$V%vD{%r1ckQu9u)kz>U8oA8%bB5W}uM`Jc81SfDPhFBMyOQLO|Kk*)notp@?u zC%EF)U*#0M;`~1;(*yPyt}mp|?2N0e94+14U9HR<@X`NsGXI1xEWrQt<nT#gotz{V%yvYYKkO5~n4YbQ?9-Om5 z1WYvC`f?F+uU$nC@AIQPJ+j61uE^LJ8&lldkM?fi*xy=k27zRrAQkSU-SM9S+NY5s zDViGypPr%EN2P&nx2|)N>h+m;Z>fI;t{)&_hEx>2B9gk9EVXLAUuy*3L0>9Cne>DC zbQ0YTI1T(y(yWL?5BWkRsQTTYOICX;v#iUpq9iTA1XC)C^#{m$zLw_}A?|O(UxA%g zDyjTcg>JF^H_N@|rfF%X~933fQHRV?cJC=mw?{-1_yysv344;qa0CmeJO2^~TGH0aKn^(N!%TgaIz} z4gSXOJC`_ZIDXE~8YlT1rz$Dc20f&a_tIp-UmV0Qh#5}%nuQt+z6#K-Q@QGS@(d7X zp(w{!N1_4UPQUnYN8sr#`BylbuV^-KNdMfe`9oZHi)aDo&TF>FyDp}@3&CVxZp%HT zAp2aMOPLg0X3AQ0-y@e;AVkQS(mlvxK|lnTJE-6E?(FUNFA1|hzu3cvym}lO*7KPB zeT4f{*&f=eFugA{D>(OLiPdS79B^48OQ(eZm3#E>H@JIzI0F_ z@#n|HV)-#IiJ!D9$Rv0_!y{(=`Gw@$osX}kztDeUsE>Y=P}pNYc3)neS6wCPVIKo| z*iwEt`g#k*b}}`Jd~;_1;RzNvP4Xw6JKrv3@4>BIp^T z1LF>B7SkM4^V7s$1xq4V34N7$8OP^2jBwUgja+s;_PcC*WI7yUZ0_ua8s0x5bp^DJ zv%)*sB;m`s(A?kD+!epSFiZe(t*yI>hzU?q>cc8nHe*5h^$!z$~C^yE{rdlsPdn zaWL99QZgb|aIBS4zLS?#(kzP#J^4nc-Th867bLs>4QdgN-;tOAEwVh~{oyX?ap}R* zaNH2m!0!w8)$k4T-SIs=!aL`@e0E89-h8fkU+g~P{d@Pz?$;9RhjVt2br^+ThF8P_ zW6gm=lpa))d^-GuFQLMYf-QD3LN3Dk)+45_17sF`eDC<@9DHGqgh0Z|ygzwq_#y`A zAotc92O_wJo~S;NiMby`qe3#8nATx$758C;D}?JIS0iVRK9ydVfdgo>_T1LNDa&!r zHlRD)oYYp+cGTkVXIUE8WDWRa+VH>-UjK95b1=Zs#<9D0#=>hf`xAqCYg^0YRY*ud zNKf8?*~su8-r>rL{rfRsdxAJH;Tv9+TKSeyQ~|I`@;#Si6l<(U2gAMhda zka|6~ezV@yaLeesnz;D2pYoTkJ+aGSveqQ@r z{Hps;GWwT5zUAI~J^q>~cpzB5O_I_1jcL!xm&QYa^@rSsc~p-Jv-zHb3}0cn0lfl0S_cT)Eoi!yUv zuyOQgBx$Edx5aY7a>i02#X09}y|YA{RG!GK5>ce+4IVUe9pEpb5q$YfI(RxGt0}sVl&40)j0fK;{LEri_Q+Eu7 zSnx>%tz=;_RgGN&u)(pd+bTX}n9lYyjJqS2#H4ggF zW;AS&Yw)Ya)cyN<-?{cs$@ibWx?2_8A0%7AP6I*Jq17Ml0BpaxIeGl+xvh=V5_E>s z^DB=7w+v#)qvgAVh3f2!W+JEArbOyK?*1rw$Dr)ZLZMuy%%KE#T61hcCJ*Q)n*>b% z_uJ|hB+q_O2cok$u{ASWOUI_mJ;=i_LtoYGhHIhN8<#4cy4|F1rmImK^Gmr(`2&?9 z%*aZ;x_UFfL+SWUtnNF%GV7fm)02%pjTPJbQ=>YC+PWW39V<)`1HP^2(EA19(E(or zL{aoY3c@FVf%As?w*|$&|8@i}2L26-#0eOP8yMh9=dvnu{`t-0z_h)sAMOnpodetd zbSkV(rN0yLEP@_=i_Xq*$Lk2c_+N3q18k5+4!G3?-$*wN=S9bpM_6{^w&qne2j7sXb8LoQ6@YQYr$8>cpD0NfV1 zwj8b-zj~4K*CQ$s9MWF{H_j-J_IC?`YB_;8r=f?a|L;LmP~iVLi2nZ_Ir({odH>(j z=Jfc7t@s)6|6%LBqng~BcwrS06af*X7X=g)k#?j=i73TN5v5A+H54KA2&i;WK?JFS z0!jxVASKc}s7Qwd2))-(((aQd@x6Dg@B8DNwT78J^PAbTXJ&6OVIi#{LkQ>iJhJu( zZXdHwa?xEG{jacCBt-6(Lj=q+zb*N*hdb%8cjbD=m+x6K&5Ja2JYQ!$yuH(r$(K6# zq}~M{MDv(j!3%Tti1gFuD(XHt|E}M;IuMIBY^c`m>j%OYSoOksNLNN8|J=G<-3A&hiyUhwQV{rcPRlI64+~3Ol z&z*snn=P(rX9lf(@!h7w*CVwI3~8U3r2qV-eJsneE0aS!tB;aRkCBzVkPv__ghK0) zI3@bq>LHVQFHFVSdpjm2A4b@GIi+R;nbH-y?5Q`|%MD5>3TTJ?iB zJtsa{=fnT3i$4-s@=PGDg7ow-%FI$9u{`yvq>M)&i@{CI^h^XHhMzL09DWKaKdC$F zI5I#`{B{1Wu(9^h!Ap~;USI!$uJ7m96*5~zTv`dA%ac~$LRQ8y2h7aBV06xBlBqbN zsW-yV}d|YL_^h-JiN~WFz)N+DQhDA;!bo zWjk?ZtXIAB2a!Cji7A0&#q=Q)hrgHF+HxF?g`yQMm*`8dXA?}*jwL;{xT80}_h_X2 zXp?=voY6WTv&nK>qe5nz*MyVH?P=rh{Lnqu@sYqxR{Iwr8;^=RRhsrcJJ$tU3DMBZ zw;mi>YTG(}y)mhsB|XrcU5&rUrr|>7UA3uB$&!FQr4GG~Gu}*+UA9`TOENTdtUF&H zVNY2mFhCNTMX{ehU!`Z>oWC*k*E2W!tI`!&wc~4?Ox(lA|Ac(~`Aj8zY4ObT{8#&r z*Q%Z>rIo~{y_rg6G9~(ShF^~^84;+~UfI2M)|Kt^ug0Bi>vtE`Z(I{iicb0%`Al1= zNk#L=FQcA_)XCg*fD(jb;kV5nb@YJ@~;=Qr9?Ke7IteFIxcm1Mg=%c-VfGY@a@#kMI$0XB zH)i#9_1+l~(U%#Un^%T@ocYsu`b&>*=*817uM}DNqs&j-XF=PYew}mea`xm^bNaG3 zqlX$Ci}GEhot(mt%1HC^r9qo{On?86QCj}o-vWst+a1|LjNLKPKOqlE&(b{ZP2&q6 zX+i^EpFP!l#P)?n%H#82L^KE7FAw^1>>aFzYcMA4m}kN))SVa0B%&K0zbaAbLZ^G2 z3cCNYGwUA5fcrp`>(lD)mk#uFx9oGBMHu-y{A4=&X-}&@lZ?b99CN#{Sn^gj_nbMc zM7Ut^iA3*Ugs0ShP&>^85;8{JH%HM zpW`i#2BQYyOXa$^Dz356OWmqtqHh?uL(4O)?E1}R_UA4A6XU_GSmLSSmXwN&DY^-Q z1%sn;V#=*t7v`tSZXa(s_plgetZ`6n{F8%CUKUAkMj zMGGsB<})fzy1e`PkWW|hLeH7!%M)c^J1ZTbtluRnJbi7P6FglR-`lf2YV?VBQ)W;x zG2>LbeyweKHhrn*MAZG1u(Q@Cewn<}T#46km&aX};D?*4%DS|yON5zCn|CTX1LA^l z%^olM>0|V1wu9}{;Hyhw<7HYiKCsJgxz9M9|I-- zwEfJJ^Q9S{KR-Pwdl0mC)rD`I-Sxy?Fs}YS=9!OpsAM1OxX=STA#E&lA8jzhCu5^q za|GMVeDhO7>Z7_x3$O3|)tF>+%6*vNo;7K;gn#<&MX6Qmr?1h?Rj~s&hhuh+wv9qg zWh&e5hxhyAl_Y6QImFs#7PeG7nVw&q)yC_nCid4en4>W#c!hc7@F&G?5H8|8=RDx9 z);r&oG;W+b_RzZf#i2nKB-i%PGp+~aRjU_f1N-BPso!qxaG39@qhp@l3+TN$v=VYt zYROyY>c!3`HhJ;yrwzCw*`m)T%%T62eRun8D4cNW#d9{ZY|#wI`gIndQy(9k;i{14I)CK9*Dp+7 zI;!6JXsdDMeCl`C-Y?B>{_97ny?3)Mmzdo8)U;_#&wF*zz9i?d$2(TLo;$?bbMAkF zEl%Gz2oE})bRrw~I?limp(3gyT%^2Da z-Da48DdwrsnqC=6t=jnH*LNmYV5+C)XM1(-Cj}M1uL&`Ec%0u);3WPt!=pvo53My9 zgX(?Xz6rB_RUxBp_>3_I@#=_v7MH{ck;HpkxmtyPw4dVo>5II6e)m%}`sqLP=0%uL z_k;`Tpho&uhEdF3x!5`9H+>b_8%Y*2T?>-+A??*A@(ssh=R{gy=4vetS ze@MtZ_>!(>2DLxmRUc-`@b#5$da>2H7ov?t3;IV!1Y?%&X5TbRRDiSIHzZ|a3p2m@ zI)5uVb@tj=dJiMk_95}_F`tCgSvcwHwas&4xF?9^5>$QeQVPx2GZ%hBJ817_3C`zU z;~h+zVLv-ua`&6s(Th=iUifRO@27lgQ2a9apZD?V`l0{T4W5Rvc#rBhVB^*%0{b%_ zdL$Tx$kH2pG^weX7Igmm`QpDCr&(e_bTC+@!gOnWuq!go)+O5h`)xb236&>tBu1D zk9)j%)|o%n1X=Q%PJ3Em{PhX)-qv3)itsF@Uv0%VK^0ZbX+r}N&aPk(vL@UbQcGlT_s+p9S>_T`F0^ED3>84 zkJK^AOe)eqQSvp5 z$CQsAZ;h5el=v(!S99#diBR{aFBOWu);Mmv`YfGQ>|UHECP$gOEXmP*yLR`YrC#u# z)3!4+y;idpxy-{USe10-%=15_H)nE8-q0-w-l5%YiMzztc;V_)_07u?5l%<=+b{g= zYqDh~=5wqtG1awZ6X~Re=Dp6nUWU7|98|5F9xk&(nWu#4;qF7vUUg{c^lg1w`cr6Z zn}D7;eikjfaix8%Y|r5s(T>F934tXF#pK2Bwx9r@I6x#1PZMSyo z?NqKS_fJK>5$ziv5QSoSADI!)wl`;fiJ$SvZ&H@3_{}n7--Lr?>NR?tP0Y3yD3Edd}>Lzr2@4{CR#C5$apMyV9hkCeN5WjsJ>T|&u5SO@cL*hU1Ka*4c|8MH#1)ws? z|GlrvO3VKzb4pzMiJHN6;8J9xY2jjXLFBr)gNucoji>l?dmE^SuekLSGhcxAkh<<> zZF_|(e$Ukws_FnBl9eGFe|&+WMH>**^m4HTUi2kTi9fdSgnD^c*?3+czyIHXIzv5l z-7KtZK+==^{4Xm*_VqDvmK!8>WWR1g&?PSM?I}9L~F*EsAJZQ_&wek0hpM_`)EP?%=#aDe@7}{wi~_zA*WmS4~8I^c?ce#izK$d ziD+Uj{9qeO+BU-sRk}d%aMCuC5C?aGjP+IXE+gmRcnE2)4@p{v6ArW>ZTmOo`{aXo zG4lqb+3`Wre?hAs2yaP*c}S}UDIbn^+K$7JaB-w1xFKnIJcx)!65~jog!81e;?3>i zArg)m&WNLd0M`0&PSF{XXfxdQ_QA;B=CX1S){}t2&1b-go5hF70*K@w|HP1NHJq1@ zsCr*Hs0pEnIEx#xABhC1C zmaE`{VdLw4kV(h}gm;X%>2O)$ZiDB?VsDJ$GUQgiO?;ZTd z{X^^k65T@@!4e?*>z?Q!lVw~QR%kV<5T0n}!Z%ioJMi5z8?w!)Pse)^6x)ieh!a|7 z>u&szz5QL&%|+Z^fAKD?$PTh*hJfSiNH^0nO6#x)d`}+|VYZIlMj_|;GT;Fac-`2% zfw&c6wm6XJPq?`f$RpoPYMn>=ggIp@9ryt4Aa>WW?J#T^#)D<&ae9GT#`Nwcp^yjc zJj+AK<%fD9tEeS*@LhX^o@*7`K;v%#dgbmgtq)xX?P!($c7 zK?M*SL3d-JG2+~OoKv~IkE`x2ZXc^PnIo-1qxmKoNC*)fMz@K^y!0 z=rywn9Il^s!1u(NA${I95#PBGNwGJ}n;`{1ec5F;;S<~l2u3ZA(QFM(=!Z|$O!WRJ zCBDMpQ_!mcgb#f!uj-g<+DOx-%3g%OyNeH0QrdpvYmfo7FY1=ZzD&HHxINFseqD;D zRcRGk+OW3*-|J`QX09Q8$Y!pwLu}R;2YaS44#~DjnGzdPx? z?l;o3^D45VUs*R9;>q}ecBAibJr}ZQ6;rO3Did!=3Z(6gTxj}U@_N^dWJ@?nxBM*I z8@b9lXX{?l)Iq|}YvGA8#FGpQLx-ym_8;8fKVT)SkAFa!vbN*BT3{u}05frdn{yE< zXt=miqJndTzn&FthmUl4lESb|)AxyZlAwuC+vH8Hsj)CWgc+=qBe(GtS|lcd!X~WM zQ%-Cp_Eq^1@(xbna2@56@Q_~`Rv$G#WPofuu``SQMC3gLKJXr+Un?Uxx<0gDrEDR; zQHhvO!~whT9$)hk-N3SUV&XC^3t=3W{OxFwj8gJ{m-{H$JEi#$_d&Qzi?7e3=dxKw6;kU>B0N{wFldW|IgAh)A>XbM z1d=}Qa+Pj#OMZw8!-~yzBnrm~`wo{^F4UzluNrs8i)ry`ZB-tHl7e;W=8noJB*{n4 zc5KDB#n*~C&j$`aIBZ}4OSYo5Rhk@AcwYsbqh8-&GPHfaP)%dJ_8Viq@*M{fTa|gkQCqMMv#NO~#ASgWR zm!Vmiw>sWYGX?uFXF?NHM53*?*Se2pL@GpgI0)_9F=GCrzplSV^QMOuE6343X;#Cf z9lGvMOquXtMX_VD-pX4Fvl9uhFiGFx@xUU7!)0U^K{HSmzqWB*(>M(`{R?7IC=F!6 zV0eS)!g@}vLTyynWd~2C61(QpFEbKqQ?}M5zAkzNi4;PcMtVZMNf1sx&ggb( zYXi%+NYLX$?}Js0OFcGAEL_EZ?2ZxI;tF>;#Fwl^Xo$u@%Qo;myJynjKRqs_w)BSv z#Z)^&VWddd>zc9nKZq_Uzm~@^bF5fVoFWB;(2!ZZJYB9rz7j~Yu=jgU%^4j*8hrXI z`~~^}T@P<$6faslD_70;A~5X68Vvq!iwwr3xqR=-oJP7=+~>`ZiRFoz+QSWZ$k2{& zXw7nY;-*fk){n9A+H--pV*5U$Ho7?e=&&xC8`$}+G^p?3O=TbajH5earGwyQyB2(b zO+dnC=%yR#rv8qpe{9%cfmguBeur;`TCbnEfnA007ffgyb8F~2^WpOj^j!G}r0ir8 z=_D_|Vvq!1fd0?))!DvJN=_8obj4q>K3@Pdnz8-^w|V-fjO9cR1w?IBk8(qh@|@19 z;qw0EW+-f`>!+_$wMX$kwgvhR@f-K&LJEz0x!GEd#N4a2o3L`P%~g`{mlbUNyb3Rd zI+UXn^hEFlUN1N4ceD&33%&uDWE5pG`a5oF7-*_<#NDdxvFIDL^}q1Y-}q*u&vAht zgt*>U0{dBYV!RfL$2{3>%#i*ggjy^1SLno83BF)?1|w2ykQJRFDlxi5>X;|Lt+O&l z^*O>$Ot2vOR&-w1M6L4FP8ASMbpy^|AUUqeC#G!jj+PIyv>d`5pY#U|FB^zgmjE8zb_L4lmPz7s#dplRE{hzqlF^7o zLw4hE^M{p)FIEX{60I{B=|cC}t6%HIc(WB>d&*QPdlu~lTD*S(_^iX%L_E2^G0}9x zi&vTZ8BNm`lPJ@zbDV%6vL>o&NN2dge%-iDB+eq5E<<8WBg4O2_#ki@Fq4Xl$0`gV z<@$y*W+;Z}rNt_o&o%kjLm!YA0I?TbD8WN}g%3bnsoVEbW((vyeJtY=D3&?m!)$_A zD+GUxjlGjJYIR#HWAZnKb?1+b{gLdn;;{M?f6R0H<&Flh8Na1oOJ3H34?6vk4V)k- zSGHC}(AhQwMkh+9D%6enJ?`tqs|BK^)VnxZlWMQYmq7&eqEeh$a?)akv z6NW_g*L=pl?S}^@Ve7pTJkOawK_XkHss&bPEA|SrQ?n;)?0~;-X8f$Q*S#3HEHW?h zGcRcM=&*Kkx`99XW~cnA6;|h;VWawYa~Y0*YfGj&OZ!IoN#^H>lIA^QM|+3|2lA(9)fXCc_L#P3{}&ACQzTUN_c| z*HE$LXYxmDDRxjmT4SdwbOJ`+tqFqMqayPomvIOCOh8Zog!^;igFYo6GguB7frcX_6wdB6I|5C>CKTWwVg56RD+Lqw3MEC);$2#GO&KE^iB61=XiNH|xy33urw!;V|}3 zarfAqNIhyrP#yCUBLe%5ni|O&{{3y;7$E80Hdz`E1S#BYzd50N@gV79jem5dQ>B|+ zY3o;zrWbV7Q1%a%#euGDvF!SM2_Nz`S2xmlD7@@b%h5#iB}Oj3vaF14jMW3IJMctQ z_m=(05E)Eh$$s1VcA?M09O*!KT8~i*8~Qscx(UA{7$eAH^@nw&O)e`WD@H!%zu0Ez z>%Vg%{@vN5N&R;*ce~$@j@Rj($6;N%9X`7Y1$h=Y(u4o8aQGfN_tNCfUum zyFNMdozcGBp5(xw1NOM~)@2_Ux239cX;>DqiP_1hKk=;q-3o8_W4VV2+|g(yGX?C| zFQM9eeugQ}-JEFSqIb$0f%LK1B=cn-M0WAb)pD1}**53nHW8sQ!OKrW{Ce=Fg znk$O6;$C34LxIONK^bVltnEsFrDSetXDPl1w{FV3$Ctd93)0b&i~T`SN(F3VN&N=1 z2H5$M5Vyc2B@c9N#bPWZj8TD&E1##!(BFI={@_ogPClR_)d_W@sl-6BH&1Eu-w!HY zmrlju)wnCj(H{6nQxh_Vz2uiS6yCa{aXC<sXet_q(a%zfb$G4{%I)3PP+=ER=pnMSO0hdb4CNO^{xS5T zz$G>8@q4BXs28gGe>$qZJEt&;`RTKeU8&$$py6saIRxnwu72H#-R~abv}qZaG2>uI zC2nMG93Q+Ra~PC;zc$8ymUjDifE=O2*=~jJySsR;h+>D*8(zC(fnnuwxZbEv*5(%1 z_33t9n!s^U@g(8NP=3DjsFwc1q1HOGqJS#AHO8~eFiB?ZJ$rZjI8Et9)~&jx>3>aw7Q#)pe;3bzVSS@#cVy_2F0WNOro9@ zIxEXj%8swtUkOh(MV(%FEniqyIo4~FQF`?(faPb{nAS?>jaH3Tsxe~77kU|=@>p^Z zg!U}1r%LTcjw_QLVclpz50(-eXqErE7uTAnzhFkKHDL|2j{Q%#_J?~MS0UBwuu|T9 z&Kq_ALIk(W}?=DC0|jc8K6{VcP-;j+Rr-y|yOb7a`OzHIAFTiw~Ph~v;K zw$<(mIQQOtp37(Hw|}q?J$Dd*X@kre^i-1a826&<^E*;M{fcgpwOOySMcL}DK)$!@ zOiR2qH#G}cUEjnhGHJvD+7fE+&COY59hPdup2O~(YQXW`bt+%KRnmv!C~H0z>*Zw0qOr}MB8CdKm&-zF$=yvH$|xR35rM6**0&V zJC{PyRHmZ-%-fJ>k7H6bQ|}9%nJd+CzQa0SZUlM{$cmQY!ga&MJQCy{3RU4s`0dxn z^rMtKe&n~UMx2hTeZKcv_b5==-ez}O<^=2HB^k;!$2)`6#WI=PqGuhQbwb@&T$O>@+QNvkG_T*+P5t>^`(pREhj*-fQxp~Y*3VZ{LLt$qWj3bR zAu2&pWDYm0eJJXY`nGTmgydn@=Y8+m$%tLG7#<5f3!}9amtyIKjx?oMGDa~N)*0;* z7`A7Oc|?VU$UtyPidND|tsAsLX3JR&#jr08UpbinUCpS@>C0<(Da{2o z@uEx}=iB+!09%x0aUXlDUyQ=s2lNV!`ewB7h?UmYwkO>aYR16^dkE-|V5HI~(@z2- zFwFSx==eus*aW|aE#oH7znSbaDUk`aZvM-TuGed$`26oHNIMk?gMK z4lR<^6Zy9;Ri$Fx*ECY;3!knej6FugKrcuL)S|t%(}|J2s^hDB1xjv2tZMDKeAi+sK-NCT}Gu>KWGW|7%?5-k*PZjDv?c znOEEf|0y!5yjs6CeiVcWydI4czIO+;G6{op`0&mnzWj{(GEpuH%^4nNiK}jhAt zo95T%PhfV2S(naV6_Al74KA;%#^^ZcU!IdR!$!=PSIwN0z>Js z=O0ho8_qH0t;>qbTi!HP96P@oFNQsgw#xMBBl=p0JX}WEc{afoN`=R-JyUZQC`%W_ zT?b&hO6fP;gL~lGeRp4_rL3wKYfRZrIj;2^F?scQ7Kr)1N_mw(IYWCrR_-DyOTW6~ znc8z`z43Qmx#FR0GT9SoG^X_Z-GDIGLEi6uO83)l3yEbDqRRc_JcqKia!ibj;u>}AjMsR2qfhdw%Z4NLOE79Lx_zPGE*wLjX@J>siBD%4?l z=0drm`6x?$El8X9G%0~1D2$^5TICkD=^&<6t!>_FN)>ML)u%KMy?^W`{j6?bqu@FZ z{jhGJcIjS>DQIoyD71#AH;j+sgs5^ugYS%~q*^gx?3AV-j%&=Wp(E$tQvclbm99}R z&^>jQ%aXyfyBZ)xE38Ct3}kfULVzm|Cq(($@iF6~ISWsLEo7N6y*O3QQ?Tm@1~zU7qE;65w>Ie5oA&Mz5JNDz4M}b6w$l5pFIjeYH?JS z*vBD6ZFy`$wtl;Dd-Q_3I7GDK)=)MVsP?YEPYi9ParF0vu9}v3)-5)v`B=oPd*Pa} zmcBb))Hk`i8slQst4zP#!$nG~ecwG9s->5E-ck^4f-&ppvL>$iKsEmuKnM5PfwfkA zv+%!~_ABUZ!*e7u>buJ@Q{Rk&@y$7qANqYk(xPO{vMnWBA6TsZd_Bmki)-z7Sh+gc zEBwS}>mq$s4d~+OKk3ApSe^kO+iPEuQP>5gE0WV4T!^#dGfq9a_&a~bhKxAo&#tI; z_5jFiRXjy78}x7_VNU`3uqBnOGCJHaj!E^8qJ*`spuVAU-aWCBYDW3Oa_opX7%k52 zJYIF*(y?(6Uayj8eo%V#eMgFw^lFy5POe_Iy4$GRwr{W%E=L8w7Vln*uumMb{Tp)% z2-SsEOrOQ04{Ojku1Gkzg)zEqznMR`Apz%3|KSTNnoQ#uP$Gg3ExXo)89EGtQ9R*5 zFmF-RkoeX@mQ1Z#3%b0~ecks4@qO(>+wSJe9(n%O%|`gWh zwPD2kzP`8gSc4<<8Oa|4tS?I$NylNm{d=k~&1O+>8`*MR;G0jF1_eo|%!bY472C>C z<|aFiJ{aU%D_NLHPoc+!`CK5g5uTxjVayYaQYfy=6J4W-4&*6TB0DqgP!t6WuU7bc z&Ds70nqgA*p&$8@<{p1HhHOR&Ml4j`@|zBTQLSQEvS%Yp=3GEc^S#KSn$rx^am}Dn zW#@XXX9-cpKOOO+HOZ?)UcRuh(&4^KJ#8u6Mn^18Tm^92t(m`yR=TzG+wr&#;G#6l zZSr-r-1}!3vymQWx_tDCZ)AOx81el?Hx{~P4r8OscLH5#po9FK{IL7U?-SKQem+v` z97{D#EZhQSpETBe(G&ui^7-j*em@b-LR6&oQO;z*2{tHpN%217PahMt#oY-lceBzWeGr9+v9l z3VLpJojv!|dckH9HKI&{{tor|z`g@s^sO|>5biqw4}|;d-t3ij*anY|p@^%+d}JF6 z`w|k6;oo;^+Q=az0{YW%=AkY+Z~v4Y`u`y-kdFUUhF#^UN2>*wJ#8;tpxc zOoXvu_@9i`H=Jkk^Tsf!Jdk-&`hv`MI@H>NOC^Em9M=6Jn(nyD(5u}O1{AIC9r-t z2zYtnKD?5KzTCHGP031q6y%x9EXbbqhgj}}eLb#oSk5a&^v+8mn89!eS(Z#ESI2h!o5u! zNdk@8!-qM_b(WK-H7Ooi1gzD+lI11`iS8G1^J9vFRA?GmvPqV~Q=!Ms)`GH*UfM0* z-J8J~bWS28_1+$k*(b^Idx6ay=B{6$c+FrXoWX9d4H=;q*b({hDAq&1Tf@19$5{^96|DK}{A>5_TX&19 zyd<_T5rwqiSeg64o89rn?Y7b&(;eX$&aXY}Vi|$9=QRYw_p|qDUv3WBL-u+*?_3T) z3?*#!98b$rMGCSuAJ>7Gm`P;pNb?0TOtK|k0NKaP#(n$+)0>vl&K5YI&A+orhoi0E zz>W4WZv!&~$7iBB@+Z4EY7XIDDs>n5R`XzSylMskFYI3~5&D;Zg}wW3Zn5yXpzA~X z(~kl5_0^xd0*@&Fcj7B#SUmYb*$C-S5(zC5IuQYhG?V%;V|ZXt4Fj3x3F}>B*XZoB zxyX7xbYEip8)12QkZLivjZ`sDFnq5v9XAc|((-cKJ|ZM303`akq;XA8{+Z}?(tmz! zh2orGTJQ9HYZ8S5u=FShnlpc9Q3Zf^Jo|HN)#I+J$Jd5NG9|b<8mrmYA^& z0l~rtw&>65XLbSiUyiJjoU++!)+jvs@`Ji}b}JfQ;KGfTMWwexaVo-n>TlNKmOemb zmNq^T1-0HvsF1_4-zd&e@q-`uKpzm$3hU{{<+n-Wifw+Am7?gYVf;VHap{v%SNe_o zAx-wDArds;8OEVFuMEGScS2oTEaKb^^SnVG~EhMT31r*1v1d+ zEk8NPk(l(Q_bOy3IA-C=2UFt$87<&eOfo>j7HVvLQ5l>ki4n@mx$kt?TWC2e6d3&%IzUl4kKng>1Ef!gd?7@D`-^he;^`&N;nH8y+V@KA z-dF9#mESBWRa1}V{CvXlPJ>)fRnw1?R)}iJyNu1RJEMm~BaPk4B=4Sna++415vLK< zCxX3oHT3T-XAzFJ6izN}E9TEqWbS+U8~Ha3v)ORpV^kb3$efGDK-{vv_GxgC)!JyT zR>6<`27qwnah!_2y?21Sl~W~6HgP!j_wwQMjAUKG6A{6YpCoeAh&Ar(E0lEroXsM} zN01K7mYU^?5$zp2G~*LST1=_~M=IL+94pOv0P#Xo3WC=w@@w$0cJljj{L2YxKUF>8 zTc7~D!5;2*W6`}QV=MtkPi$xLt37%DIi1s`Dg9)g+OP4q-4zmJX_;x6*WEc%UWZat zFa)CztP_;_%MV$fSMu%jV?b6)bbi2DT2mj0IAA2{Jin<$^$F;+h z^Z(v>R1nA!ATS~B*ZpHWm3_P1Y{00s`qte!?)scaPu0tyT9@RcZW>2LJp8FdT`F&j z0@$2q=5DNTP192lumn?qciqU*8p=NTDy6s^%_j(M`E`RgQa*PJm@@ObPd5)=LNiQrlDNVdX*(I8+sVDrT|T$G zz2H8cIlX>0R`M5acT70<@k8F$*wAv#?i9@0il(Hyf%~{DBK*|KLcH#k944!_2E(|v zxp&<3{UT&4*rVOe*?rq9H|b_HFJ0#+nav)&Z8n(*^R39ZO{#;8fO0mjzk^ylw!2wP zA4+<0C@}SIl~hzH^=`{Ver+0dM~@5KJm3TVuR}IYGb=NGn7DUN7UU)A<8FMdEMNB= z)g-UHULHS{_ZFrv+49$7MNV#cM|fK`g9PGyW-Cl!O6M3zvs{w!=1F}eZ9WuD$Wy1T z8ccC`wh)fGa+ygKun_RV_@2VryvsS=uu{zAHDtsu6&kyPH0~2@aQ5kvX*oFt-;WB1 zTHcXfVNU^<5mSy?Ef@`oD?$BhR_W~CIyYOIEn3_&Q|)H!1TWrf(g)!tqjx?M$EBg? zSi{b@S=a{o1X_EP=~7~fH+ZSrD=NZ8hF;YT9bKeXc($(^6i>w@gJv)_<5M8TknxYp zBIOlp+-v|YInEZgYwVBvYNrsOsxEv^V9ryv*mkHCRhJQJEe-fxB51Y25Ea_Gn^b3* zL{{`{PPQh+)> z`?c-+gtE7G6LMnZEfMKdHBHK0o)_2A)Ra)Z-=hPwy_*b1-gb_z%+(kA1WbbuoR6dS z+*NbYlzou?tcRA!DyjkvZX>Fp!_^8Bd@Iuf7No#7oIbD_c$494c0NJ}@hdzlo(H8l zM_Gk$wyv|n{a0i^xt4fni?t^F#T*JP`L!n;LR?Y}OAN{XS&e zRNhMb*{V`%UTSUYfS%%vji?Ts%`|!=c5+#XSmWGu!Y)#jZXm?@p4*=f!P`AS7h*yk zRVo2laf3C^w_j|SzR`}nD@kWR&b9YT_N#k|af#7Z%9j=;3!iuYBRqW&q>6o8bj z0@n?mCk$nm8t(lf_)bUrV#xL)s_Vo%TqZL|3*9M53j^m^zORFV7E0psmGRD{{7>b{ zxNQ>$u^}2e*Oox0^aH29qb}bdjVcuvjL&-di=(io=?e5IlIcStur{U7X_f$Jp#s=w z_*Q+SvY^X3RtB~Qw&_DZo?Pp)*vr&;2*l>)F5kLvRnAGdhTkGNWGm^gOwap&uj@sA z1zgNbMVn$iIAg{wza)Xt;Vm(0&G~XWgMa8{ofr^4Aw4>xP+Gh)jRT0P^yaO!h4*Ps zxxnBVtYb%zY1Vi6qdUncw^FXC7djR&U8QRYX?Zs}GlzJ|=j-u_;`qbT0XBm~o2ZAt zmR&Qr7BLVk&Qnmr1RJ|Si8X5R{ZUbm09Yx=PENMWpT3#R>NB5dP-1X)&|lIlK;Xk) zaDRiOTiVMqJM-NsdKzMtVr8XU-cvR(Qry}Q&-bRc!L`A$qx+mOkHP$n@v{c%ucGnu;5ySG0~v^Lapap*ZbKZNvMukqdQ%dJEZ(`f6vMb^*Q$FCWe$J%}*k6ER%cp^q&G5feD($2)Q8ciq&fr#% ziK?x=4DDit$AnJ*o;KuXUN$bGGiUx=GoB|qlE3j8J!M}yr@A=v1X`vqjdYohE>il2 z;g%mrS$X=#E0am0=9;X>H$W1N$1W0hu+X5C_OB@G;>P%Th5t53A-6R*Z8sg~5a^-0 z{TBuAQxSLO_U3n{ua_7J4gpQrj}40J=K_x=Jv z-Q4$zl4PdT)t=6#Q`CC?VmW`9<`1B`s<>#?>ohchjq#uEnFf{^7rCYWj{4%R1z_vJ zW4Wwkrj$$4^Tu_70F!kmJ#C4{{Dy_o2#Dn=E_!AhsN8@Ku(H91a65 z9=~@^!V+kQ+i^b0 zWY*O|R)sa6x~#!WFw2h%r*S+Ppd9B$Kh(#_Z#Ec z;qk1iwUong`XFNbO$Kt2Qa?I)Yph`fOx%<+)>kYhb$z;Wm0Hc(R}1=COk!_RnYnD( zaJr=zSIHzi6@70YId8Sn<=^@E$7Y6 zAg4tO8)IV7DR&g_Ex;!HtbzR37%AVle5iwFzN!Hj%3c}iF2$vB>Aang7vU32rxlj% zbL0K}9_gvA)S2GHQ&Tz`c^1`PDoxjt-BNC#rCL0+&iDWboeuDk@$*sp5wEZCPf^aX zf|3?Yjk&y+T$zOm_AIfGMmb7Bof|IXvQVFOmOpr(_WS$1hAkIU2mS#psL@?5Dg zW}3(S3ocA(rE6N%2SY706Le#@XkEdT$@1P&C_DARFVr$>ie@w*z23`SJ*Nv4dFeJ+ zC|x*_zU42_L<*Sjzfx$={DA!j7S&`cq!wa4nb#$mQlGwESiH3GRBe^_$u zZc-}k=dfs4JPNQt=^SmYhB7r;($IGnl+wzV{&!pHgB~@Kfz#=JsZLO8IZq;57yYLR zwkp8kv9BX&xrTmf8=cHb+m!#mT9u)FjH~|;*v1Clu{-@Fky0!tXMUzl3W|1tX$bVx zb$e+sbKzVtxnJ%o-m{P6sp*O#*Uk=TEMd#hZk%<1YNX1_1})WQN(D#wp}iXLZ?8h) zxdmn;fxj!E!#SEi6hBhh-dW94)UhinCjFp~=Sf_dUFl6Z4_V(kiS-^}CSI!>dH{zF z04TtMt3J5fa}6l&ehEq`hJNc4u<6fM^Hj>1)@4&j0TgumgV+gtJ%x+^mxyWcrF4I& zaYk`;zlN_wJY|ZcjRH132(zNNg{OGZU79js_jkja(oC!nO0i;VZ`OIv0X^8#YZ4Z+ zK2nzrjwj7aM@;Ao(gdj8yU{NUR#B#$FX*w-O+5$uu&OfdXW%Xz^px_OiZklTf)*P( zrfR})yoexbQ?i0vRMQOR^Q^EH0J-D#XXN@okN}WbTK?UQyD>!21hb}I6Y)26CKyoWZ5`_@2LSF-S+Pb-HlI`OP*d{qqOkUol{(_T@k7N zU^X&n`h6)Ci`CH>m&@a`>1#}hJ%vH-&7AVoRy0y%&|I6e97m(%DXh3XKVIV*0#L7j zoHk%qsP2o7KLuv0klf-xG*%yKY~7tqjtelVEmU~a4Kq*&NGsR3R%sk@?Mc7@0u(6& z=7E#aSPQUm04^9q-M$au=_!39sjtb7RE7IaZDQ`*nI_^(o=IRNq@?HQenhpc9;a?G z%#U%fBFvqOu7)=M5|Yz%#rM+(V=#43F4qBndQSI#ky40lyP*cIrf((fn7kSE9@w^y z-*tR+u~b;^3V95*^pbEtB*vDP0}lk`!MhtVm3!rPaxt~oy7_M<6PkdF642G4t@!6% zs~UipmgEA`ozzyBwcs}ZPP2`E^}1Gx{w2b#`LrgCPacHCFK8dG{LZZgJ!xJt4+({( z>H@O>P_iwQkSF^2IJ`Z$z^a)n332C>2F@g9G&G&jj$2?G0kadps@H;v#wBx8CHdX6 z*$&m7QnT8}Q#UGgy_yy5>&cv+T|S07DRE0+g9eU3DAd&MIUUtz-2wz(NX_epdo#i- ztmbv#uzYs#PURKcBTDrsL0O!WR?KQef@kdH^1&wqOxC)+7p3Z0xz;uGbwg!9^T1dQ zT@J8h{{ni5x9tvF_pL+gE;dt=mvcp@TPV z5Ve9g0dv!~m!NWKB9$>cty3SQQL*rI8A{3EE%dL63(N4$Nn_OI3$ ze~?*w`-*Zgk+yQh1TdybOV4#v1F<4&q9cX|D@2g=T-Z>s1%i?lFLz6>s^8uh1Y-iM z%U$pB@V!bI4;uZ78QsKFdZOiZ$(N_&vv{sk3^TU=67B8W3ry^=mYgoJ8COoZSOSN*-o%!9rPosgbObnk=`4`nl37&YgV&y&##lpZO4E^)E&n(h`|pIi zd2IWAxRmbluP}zh3$Cw(?t-a6o>6W~Jm}5F=~K_@luV?k$GtSLDFgcxZ+u65$w3rM z_>y!pCTQB;FYYQZ$pG|(MvsM-$KX)`s8nSf`d=F7)AV&3&u%tfc?YI7fL9$Sx`L*j zs@jhHFHXO7fxHHy03<8j(oa-(5-assA@08=v~x>SrUu|L>8M{m&d2Eqo~x6ZOm@BH zYU0CSRb8H+KxpXo=C6it?WHGf= zi0^Mk@ACp!C~a`0q?Mg=ibpB}mk!)^^mc!4QU!iP0Pt%RegSqDRndd^=tn?ue|;Pfn?@vzlMRwsA- zvk7-#H$>N70M{q-IBXS^ZAYwAqqbyAFSq^E7`g0vU}yl-zZ&Kg@!tR6 zm|GFai)oF8Q4>*#D73ENN%t>)E+&DwHIx(Ywl#L1bwU6nfEt3k-hoq~M%F?JO><*y zf;=*i2QHvuuhXWu^FygRKgEt8Ds=zfgVE&<&td?YFEuP5{a4-jDC24K(odV2mS=KS zlo1pt6)DDRcy9|~N_bHiJJmuDdv&T~wypSAvnPN-DRd%a;2rV0w?>$f(+mI?m{3=U z`Gm{;GoQ`qZOci5o@?MeAGq0*64Sjrfq9NxPk~8G`=bHy>twK=PW5!<{}(H}oDaN3 z0hcTwLDOG~1KkO@MNNK2u%#q_0ip}mT}H#iVfezoiuKzWb2LAc+C~)I(n+^n9)k}h zKu%$KV+%%{z@Rkx#i5tool6HPLkzjp6}Rz@00R#B_9eIY>N@s_du#=`MZk=j>#|-D zOUXZJtNM$AvBX($&;_15@=aFNp``Qw`nn6+WsY#-UpB77dh>YxVN=$oo1;E&Nn0sP z;@ZL;!GyD@>)$@qyLEi|X=DU2Nn6x)LAIm)yA;6tlL0gC(L7(^UrN6Rijm0^|MWn6 z%6-Xdjn_$|i0LXg3jm{64`LzZ3FY<#^mo7Fq1^&;@|zQ-&-jbCDWWI9Nf4;>@iniH z_I~=0S}YNP!?St7lmi}O;Cc)h!~6`V3`^t#S5*6NRwDPSb>d*Z40SqPFPwC_q$8|H zJq502W9Us81Ge+^Xbm?FfhKrO#MTrNN~%LI^@Z3rGE$}Hvc;wVh~BYapdT~DH>TwXaszq zo`I!Bgs^KCWxIi1y83pc{53E-l9Q837)iXioX?+HG_IXLNF6SV^_$F~dNcoeJ;IND zxh_O=gK~A(qhmdvsD&B`^^61|B`Q(q}~H*cLJ_q5pHSwUi?2Lzhy#q zJi$@``fvDhw>FxG1-zv2azV|6XvSS7_UfS zCFI!-r8uDZDKn7!&mJv~w2T$I;NWTh4={RpAv@-vssiGCq}vtXm@=+YATRY!?Y5^= zBfFq&e$GFGbnf8r`0cB`4#Z()PVz-!f^Jfu7ecQiP(#JcAdt3a^aIz;GJ^va$Dup~g&U%v@ZENDp zQ9c*oxY&r-%sL3F-7ewV>h~PVVXpr)4)rD_{z1g8^r17&;y0vhiwghKoZ`cPfwPBN zqcPE|oo`SMnoO~6#aXo?x_jk;!VL8Q8_Mwb`vD&LA(?s~2Z75YMS@baPD38RXW*X`YH%aag zub|Z@G?=MNT8?*pEVz?Yrl}R94}$2N;;k9t zEfUs%$i64~5+-vaNL)Z9$m-XCXC`vYpw*Awm3f8iJS#91H|v{R{EI7!%jr5rI^4V~ zl|&hWBIeFW3eD}kWxFojKfW zuWS6eayFc{QSE3_I0p!$gZUSjcnY*AT-ktQ1_&!dAyuhe=U5Ib^^U4_x^)j!&W{#J zKW$h7K{cQ?5Pl5x&e0@HJQ7$t@}cwduRj@zEC z+-}CZc7MbVLbCpag^x|gK%KVWTlp2gW+&SoXe~h5ZMZcKj^2|S^=im159TLGJNd5n z4dsg9p840Zs;T{p<0WO>^#ZX@KYNNyv~Y|Vyme@l%0#$EKNcI972*mK$NAtQ}*qYzU-EZz7YlJdHMuOW_wJ zfXRSN{O)nPy*$pnO@~%yc-QX7WGfOl0!r3LAO^oo{s5F;;5dyWeo*zsWH3?w8RqL6nLCT%1*rtiv z`rxgg8TXy7*f1t|T8dYK&D!dDm|Y@8PDVVeU+VO!aC~_f zW+P=17F7)oSo!-q8qtq|ZJpQ@4)Kq2Lv9J6X})1ymC!d72|%O@^Sz76-j1^(#%+g% zsifYM!k0FhQ8KSbdWxyI|k;QBB^Fj9L_A=T!~Bs&mh0me; zbwJ+-oN{E=#_o$T+SW_K#eX)g*Q|4=a5*xor=SBrEMqet+eTSuyr3OuDkv`rrL1+} zM;?Myur53e)J7nziW;k4X7j#1Z=0M0>g?vM4N)N|ey+k7-5po{wk@}DPpno0H9R1t z4aBE_?9GzzcZD7x<&Q|3%6hemA9l3>w-o>ph7wlw&n!2LD&P85eV5&3_Q<3?b?WL} z6Rt?afT&9ZX?5fMu_DEah-(xEYh@~_gucgJ=DbJ|R<&)NvvXzx@(DoJyWwp6&(G(@ z`UA)-1}6LqGz#^bH&I>!NC9uPyi=uS;9&LYEzO4I!o=llbX_RvPnm6av3xVF&TV3Q zRtS{tT8T1|is$~;++n>hWz>G_l`kE;npvZ?!@|mrDA57>d!zyT8y2R|ROsDF>war5 zwa+@c$JF1(q0;6|`jqn)txZuG(lO5~ww^TJl3TOm(AA`@Ui5+mNSPsQ62}F@bHa;T zvrh|4XIPJ|#pBj&ZOe%M4?Afz;1^~dV~NNvtwzJo#mxWW%8M{Nj=xImcqaM1W-o{w z_3ThK1mz+<`#HBpwf9pBc?e%!dG=VWXlBypi6(I31Kr10$l6TJWuGEirU-ukb-|sU zCj3C8o9f)ZUA&kPnMd|(N%`41MZ%;BC{Vzof(lBfmHt?AhbX> zmUjiM%s2J))-8K2iEj10J>Hu7Q7mb{5ARBqc~dN$!f^>@jvV5=!_%Dai$eK#V+Uxz z1^P0#JZ_y!M@S!yE96%5(o~oK73&QaDZZ8C)_HdWZXlJ8FxP?5CDu+bVM8qt1V$vL zcvrgoGPF&*ps0wfU{V)2=@w z%)V8&WIPL=>5t8C{VYNF?hLOqD)+QlfTdYKISyP50B+gzTvi_a*7s=Ztw4#c7FPB9 z-Kc49q<#f%r`Ux8-+}M~=~{&B0)mahT-$x{GBo#pI=0i~cP0D5v<&h-&u6NQAP4$> z)P0b%%{w+^+y38D>~+}zd2L#Bv@(FQRvaCPUwD~@+(zGVYwF=7$0k5D6qyTj1;3@4 zeIa@qe`<8|{F-BCiF9~P#8U|~)VdBETw*Y^f#_Jk>((cO4q~ zQfr?(TblolK{e0*oFw31MTUQ8K04VB@}vA+7;eo~S|=^d-CKit$nGci&LXZ3Qc;|B zj{57w7Tz!YPPrOE+m)8;eJm*eA2We3bvrRK)w#VaQ~>>SD{~`BmwED5Un5=65vASe z2IfM&WtG!@qw?!MiuSb7J)pKIpwf7M+Ooz#XMZ5`@}sa^&%~o%Cq`tpoka^xw3_T- zqfZ>6KGW;eq}=83TRTwD;g-Pmy8FXICq%LvgUo^U0>+UWjZBMIS5M!7QxC*rksXgx z-ejcn&Nm2u0P=hB^$%1GeGKp2Jto`<2NbVKO<1J3r6$!$n@4*@@l1*<8;uLmF;6c&7?a8mGxUjgjZwlAv_V8@i3cK_P^3)Z!Q$ zyJ;h10AxJ@L$R0|*XgBe44@PN8}c)i4>9b>tlk>9Rst+!w|kXE3SC3BJ8+2&MdhT= zZ8=H>@R$H>kGp^M8(e?{7+ep2Db%AMdZsk(gb|I@p{lkAZ%dDa`hc4PsDmFTt+rp( zmc#a+QShkjT`S?4O*Zn**=W-uiMrg#FkmPHhrKy(63o5MMeD^o`lz1iW^>6^Jo|Lfpbg1Uc^ z`k(8N=hD-m4sqZb2_VY$BT#4~Qh52DHnr-*Ac=H~D1mI4Yw!DICxw;UjSy`BE8**P zFqVyk0ILC7wM#z@81o1_IMP#AdD|W3I{>Hc=F8~|R{@kiQk-h^#*DhIxH2DU0P%us zq10RYjxw^TNLwu+vXyn)e0#(hDZcYjLOTzn63lgJHntn}2opu?E$t#>*3vu?f>wYj zb{~&zqkRSDL4o%m(}|U>_v53j6c#a9;p7UlHC@hK-$7z1;{YYR7y{ zrE9zK*2_~v?g_8s@JWgD9>Bx^hJp4Uzu(BO2~wAI6=0;AOCg_J0TBjAd5v~Y@IW^frYv?05~S|Yu+8YKW|Td8IpBEK`82w z1O6ZH%9m4u@WweO~b;}45vN;R{qvi%oc zV4m6-8&|kgEiJ*r20`3BS>3Xxm0e87^(fLR6tdji!#Hg)=qp5(Pmd4B#!x6dgKV20 z*Ckr3*XPY9RZI|FoVq!xcd5-F=Ld0~;M`4J4CLf|IsB()L}{^nQeb7OS=QK***y)j|Y+N*+CP%9 zcfdUznXH0{pB~mi`1innS(@x5y zQke4S6y+%B|#X8NKIb-Dzdy44Zf z_p!M3U3!j5q5}<|kJm5(Y`}s}>%2;1hXQV+5Y$4-6_B_Yln3_WviY$i=MWHO2DXuj zFx>84PD@r35S|A1F&pO7YS*k)Ao>URN=jkVGusW|20&+{PN=Hx;%21QMC>Ypd9~|^ zz(OGY0{CF0Xv5Q%aP#sKAa(?d+WgyJ22LDhNo^f}Grol_%tC5uonC*Bpfi;UW7L0J zUa0@V>(rFOMvVod-M>8!`ml=7WmT+BO_ioA2Awgq-yyczr{WC)f;m?wU~~L3bT>|Y zmh;e5uEkwm*$4l=;DZRXNKgssF64c7f`7&HEaME|Tk?G>&4ahNd|)wnb?R3&Rrc=0 zV16S`F;B;X+*_zV$9xI%d#ow~*Bf;HoZ(L7wyabIvp%VnKQ#D>&LH1|yqA-uP*q>9 z@f$<^zDJKDNqbtpFjJFL5j{-{uvDvLOI^1(f9p5O%>0lI!7CmKD~`y=heeMxuu4Hv zzwz)2%lPdxzlwaMf&Q^q*@~*R&sS5W)}h8;Kl^hh9%SYi9kA52)TLwwZ_OpiDg?YG zE&=MOBR{=Ku~Ic9ypE7on9q0T4{|L3y+J{9aAN*EaiIY<;9CGlYqO3-^Zx9#wI5)G z29_)u7hq*YdK$)RAdx0-*E(yi=EP%nWV!7e9YrygiRfP0O<#z&mZj;*j}Su2np_s-!mbRH*xvI1$?P!C=5>MgifA|ppvHdrpFenLpG zL?0C>SLl&Oi$+K^IJ+^aZ`*%P2WNNc`TF%JV7bI7`?}ImA)WXFi~-#J->(`dZz21^ zg+0?r9i*QQSSqY?)55Vh2`osg&Q7y|FZw95X}eM=T~Ys$LqSaep7V}TVOT{|Ok_mS z%wFCKLb{~JdVl7a8+;u6or{#qBs!aFIC*?@Dnf#F9*%#bX%1CZMuyJTc}nplsNYzj z`e_+>+g!X6x~GopIK}k!RiY%h5rZIZWsT&{^4{0313D~QLeC{W`@paAW%4Ai{INIM zf8I@T=ly#*|5C(Rd5S z_-gYXFH{-3KLzutD9L~CQ4akoUoKDjafaXZzY-|> zdVkW1VlR2CVm$p-T&jERGdW|TjITq7B|_9^oLTK^sGEii&_*n+k=w;J0x8Z zLHk}VrjZthZ!HKkFiIJC$#w`*<=LF?=iSqd(|O=0<$1hfgTy>$<9r&srbzcK`9Ty0 zmPy*zv6wRQG%!OkLp97)MdR@6gAz3*jE(@bRjwDMhCkmRe)lLH`}Zk}@=PXxS-424 zgH|7#<~u0mQMJn$zqHqRa60ypF2iL?Fybi7Z`5hheTcth-}HDbQckjWJ?Q--Vysez z$Mxg-mJNf?E2NcxgCOY8mNTkKpU>;V5Pde0se&2D3?-Ub>)(gm3G}asSOaM=7Rh2> zyM*NeCl?gwq@`2TNrD8-(9ED94?kAljC;9-2L?_+)3uf)dut)%{;YyW&Wx(SVJRGV z)#G6yfE$4x`NaRXiCuqj=++eScvLWUl!p9d<(lNmK@r?Fo^+(9+lFA~U$e?v^&ZkS!Pxa13 zQ!daF%;>j7f%fc)b~6Gp+nJU)5dC1apaGm$kA)jQjQ+Qh$?lBy6F6lySnsO5>)mb{ z${9Di7P`C1{Sn81*8M<2?Q%T%XSZoqKsXh7)#{6{JSqvl6??@_Lqf<05A%77Sj$*Q zBHB*B;6E&OUJK`mROiLt>BSfCy&zo6<nWzzh?b>KEwpeI!hi05szzonP}19^DY zlwJALO9xsr*BmJb7ulWoC`aAkeOk{U^(ykas z9ECT|ht!CYK#ZpLXW%L`56=k0KA@G-eXGNX5M5Fp4dDVd7E!mTU%>`=n(*lZwg~j4 z%d<&s;T`!v-WCo20(oZ6^N3U^X3_mOz$PofO{U%6@^wFW>L8oU@{t64_3UYgxBDX; z{-E%Ckqo?e4I!a4nVs&*rECN5eKnuZ*DQbNjLxA6$a}73n%!&@QU5h`Z-74Mf$7T^ z?h-QWUp^LCA@^tr?u0{?bL!;Q{~+l>DxkCqa^J^KpfSd7Bm({JL7Gj}eHVgkj+fsP zX!w^b@Pyk`jn8vG6-C!HW)r%P<18e5_{0{8qGxk$Fz4k7?b-;ByDzZ0*xhmH}6m+XP*8b zKKOyuQe`;kLP20HmrFMX%2!qWpWvejS0rS-v?KcbAYwQ%+MPv-)beR>(XgEirTe{9 zC{qjDi(q>1a`NQ?{2XqT;NLHLf1JI8pNFjvBqMO`JWVMa6vS#>gUL)Crr+*`x8k$Z z4{Fqc5W69mVcr_zu$D_Go6ZuS@I}~perNt5$Mj`7a~U&9zF(^fgK1wmvgOq>%kxLS z9|RNa)pmvq6ViOjlhd; zUEY!(2|d=P`N5fJ%3Ur1p-dDOd802Wk*^LP4TJ<+S+&KKx|17Oiu zG#7C0u1*+qR{*Lrif?JeTB6~`CUbwMW3NBlOg&A9MT`{uv@UaxwNIQs0M)V*dxU}X z_?oI2XxXOZ1}}=mDA!<*ypy(~{rH7_5j^Xg>xCS7P7CC5i+xh0m-xU{M35k_YLs?V zn1UqBV2l{nIC)M71Z39Yxd0BYX3OPKjqa2UTC{(BdA&lioPgZQPp_(poNJeeN;;k& zkzL?L9V)(~ThB2l#MSUEnO|UKbAgjl6!sx;4K2UP(P*YFwJ`Gm7nal z@h>$rQBo0h=UO`oPwS%e8m*6i78q9yZ7){e%s$FV@X-ubXNt6Y@d6#$|<9$CHuUxLX ztRq@?Q}p=prOPCI&dD>I_my|2M9@5kLHv4rSu7U{vTc06N$y}G4?*tj=`I=2gMf#tjpe5k8A@`-nq@bP>zDP>3vEx)|9oL;^4}dgYK!V+#k7uU4wce(GKY@`ff|8xO+`ukm9Up;)Mp{Ln$BwX*hOsfoo(~{mP`^(L1(?!%s za$^z$=bVE2y$K=F-4r~g`?yAIF8!!)NYFHQe!_Q`qWjcFI9%B0W#W1CRZ_T>m4t5_ zZaqlps^hwqdOo&V<&gaPeha{EqmqICR_B?iQDFoZLTCa!=zqxj0^he6>sSyxvNStr zDeR*s)FPxb`y)hk_E&w7{6`D;o4*=bbVDYuw)w{gk-?a=3o`5EYT=XQPtKotbjy^A zZ&AEu*`zjDpU_lEcFHt{sP*y6rGb~|#)#=d(Knss-UMKBlMvuMXmK9^?L}*t1|~lU z!$=5U!5er{8;i+Js7m-KduAA)0?uu+Ljcrq`&zuRpWPBTjnC6&-B1}~dWakN{qlh` zmAhvpm8nH;sm^=Vkv}i#$NDj6P1-e}{;p)`4nKT($yMSzPu`1H z3GIqKGNtpC)PH}7lxye~@G)=lI3@QKZ(9v)cIPPuez(P8*PqQ)|0RWNs!=}vQQQJ^ z^jlUpI7>>cTB@1I$s$wZ7Sz$38Wjr6xv-DLL+9JsqlEz!QF6Ka6I~ld${>xk9D5yk0@z>I za-I1TcJ*c$HOWI9>;Pdk>Epk4`cP2IvlsVFF7J|ayHM-opsN8ReZ~556-yE6FH10r zv4!r_)N9(`b~jI%VDIG~_S5EJY@VVCObc{1qhghX&~ee=3_(Rc5vdWfZQ|2KDG?@p zdVzo(&Iu;^D6|2Qp05+RgfiaE63tI0YVUb~j50X*P{kKuYvvxY;w%wVh?)sWN-MTP zJrR|dx1|^y%vvZ@QljY*l^-OP1KNSHxv&c*OsU+FzO?W3v{2| zz_Pjeds&JJ!b_1$#7Z8ndY?9GINg>eyoqzH@Kkx+s@&E8>;)8k>q*u56XFa}(m9Dge__a}VvV@zy-nbRQ8~4d zwKG9aQ>!)IQsYid*ASC6{*(y@C+rd;f#fm|=kw=|!vbrE!ufFC`s*i78FuG6l@gV4 z0y!|k86{un)?FJcYxaII#F$3r>pAt^vMp<5W zQzQQ0%LV+=BJpa_-ftM8(W4AM1u8FslMZL(ymqBO*U!{A=tDCbj5C_>eU=kR3^Jkm z5apAXN7!ox$v1!J1qu=nONs6Bmy>Hfj3~E*`r=&q0)9~isjB6E>Pk-u0r>l>L}e>_ z-(S61@%|Co1seJutEpIL45%c5U=!kyif_P0~OiZNs;-R9$aY2Puq&*Oq%=D(AeP^?4! zg;H&G5CV1QzhzqngX<$gBe~u?~i4~*X6>#`560}((cw>!t3_$Z^MQ2`xNpe7Xpc2M*k#P zX4*)MQ>eC0S`*Tz2ZB<{nbN&^+W6pAumksgN7YhT*SW{R(i(K8D=(+ zMy}{tDV4pbOtn5)T1hDVzF*+ZY+60(h{b>NVUNo>1@5SYNM5*uj)ud(m77zUQua-U z!qv2f!Vr+(PL*8QTkTl=CKm3`$JS^tGH+Vb#Rc|gt&~_Mjr!}`&i>hZx9?j9kfn>q%2#wsV*BKc%ZAh_dAwkQOq1D{R1rU zK|3^4Wa@YvHPQt!nd!Uu9MYQ?H{ej1|KwFqzs$u1sz{TL_r-mvsMeA=vJjPIKb>ek zbTyfCiFSVvoIM-F@dlvm)G|M`4bzV;8>BYHMbn zCvyn^SUh=xU(Y;wa;{&;3JhahMpt$u%UNBJ*WqdY;hpcUOECujLGl*ZnBuQ z?NtNy12?f{qThsvuT{!~vjm4}${QT^^!xPm#8~U0J7KQhZw6Tw3q%TXNyg!`w~wWWxt~O zQ}#7*ZRdfCB!2HG`}A1>$MJjN zl~1PS_f7;9>2{KpDUL1J&;aMHFqFt+(ozwt<2?+|>Oo zb1i1Y$H&y8DR|<*JOEyN(>*_o@kBO{jbD6*m$Xh~zR~Sr>oBl77c;vG$CAsla%QoD zwkKPi#q&~S=2X7?S(-GN3MH$xw)YOL#!Fc@6sgLy#YGT+2&!PR_htNmMXTxhetGm8SW9C}o}>-s(Y$IG9{6L3xli5=F?iH(1yw{x{`ZA44e|e&am#7l;C@~mN3zM= zYOj1lGJh;eo!0$w?Ws^${7b9w;4vb0B;PRbrRrC_REq>GOsQBP<-!&kcR}K#u9znXV-1`P|+cnU#4B@&p za&Jy)DHPeWDRYiIXs)`@*x7kLgOzG#daITzNZWSmNhuV$v#HmpX%l?{t7B_WAi48n zqT_0|@|Pi8xm-ALykhuf&pfCH3gW&gfz2K}*7cMN9)G~B=u&;kUFOI+x05wdwB6Rl z`yh=Qr~+hIH`*(%b~FHa1#N@f3#6TYMK!5k(w@i@4o$dNIR0_W8|yVbp$>HA3Tz7Q z)E~h=L_*g>fdrV`nFIhJ@k$Ld1U*f}jd{wFvH2N3v;# zciy4At|h|iLEvD=uVe25dp}JIIZraYeAe+fFcLqbVka*D@3H}QD|$dAzMXRAJF5(V zz635MdV+S}kKUmUowR(hPK>z3_hsBm)cf+qr-igzxcrN)7O`G$i+=U7I3N4yjTQUE z^BH{EcYV*OxQZ)`0%I-pG;Oe_N-lsahwA~X`I*7iil3}1KT(iWu$pgq1wmkVz$_Hh z$nQ4K(9D!XPUxPF{>LIVsLuGaTmw%C1$y?34|Lf_rhiFbKY<%Y&(%JyKmFfPN8XPZ zuXnh-_k*hI-T`-4B^u!%qwr>#yN@{v=9isy=+0h5y?8{>LWYkfbsiU2)MotsaKT{RE8U44nlGSvToO13L_18Ms`{ukZ z3|!pL@64N(G!jSKKWsGV=;S}{qa=L5T}^3GyL3aARRnpTKe_r zK)8Lq4L-5F6f7Xi=Of&3W1T=-MBP7OH_1+A>C4nNL_Nnf-YK6hl2g)Jax{C;32z&v zvHARd+unM$Z?x``xbD0mmLfch$V$hT=5!3?*zog2<&e;iRCLc}&5r5vT5usq#EdUd zXw0#{v$V-mAkZ50925w`5)~M>6xk-WFMLBq=(5?AwtMk(=&B{2d=j@j=1zDNk#LPZ zQ3e4k$y(WdRma_q3fI93m8Sp7>QyM#86P?pwMv@we313d5ZMvt;IicOlsU#Go7x^b z$5;q}R0P+SZU!MN8 z=S2|h9zCXqXXM7CBCx@_+|Y*6Q9r-GnQzw8u`<CiCN`f7e_M<}zfalJIlR`RlBTqxjwFXj=v)$4>ckz859uuH$XL@{3yd)} zJ+r}8C`iz0BcHCzb``7M%Zhy*%^&k}Tj_NMV+_+V&vf$8#PS4sVZBbLq)9A^aO|^a z@t9r%m5X?<7WLpc#dXS*`6Iptv?;|(HOu@6EV!g=EBmy6BXOb9bk2yys)ej``gOry z7BeIELUS588Plw1d7?$%(TBQvNXPk?&I%d3aN8(PJ0pt>Kk*rXK7J43|C}nQRUW$k z5K!d*B0N>%(Qu`2o=I&7iZt@K-Uw8)zL6CmIc9LV5scAcKd2r%HJ31U`K!&XH^_Ue zvKDhTMLO9(TQzq%f9mb{`@7Q>l}ft7lDsOIOYJ%CCDqtGop3EB_KS}%k`2C1mr=W> z7Fop6qdyD!J!|jTDDSx7d{qV_Qk`|4Xow?bWL3HPcGl=$7R&GQSs3=DZ7k-*6OuLw zd7rT-Fh7$oQ1lhj;sM3~;%m;-#`S^4aVpb;(&O7-TYF zo#}ZSP;$Yva6U;Y+ReXaxI<)cI&1M}6s%Cw0pJ3!4pnw>tzsEhshtQ6L{py~V+%1F zLS6}J3*GNCSry@!aUFrYs_8V4*|s^IjeEaYk~IV2SX1tBSthm*)Q@IgrF9|{rI`CQ zC~>!ziGA#|C#-#Da$*lV$CkwjH%(eYIlyzyw^Q;i$qBz+aA0u!!a|CJpLjiKA>tVQ zK3SAnoS7;_GWK1wrfUW^n`pB{EW2H4Uyd{)zPj#Ks621@@v_Li#GcsTka+SKJEz)i zFhA8ahT%W)Ve1UP{3W1#H4`*5Ig5JdBreImVnb7zN6zWSthIJ`VtbG^m5myM?5h2| z*}$114+*|>wi7trCRTNrM%Hp}r#AHLKf)C$}mQtO4I9p$1`gT~wecSswuxy(v;B z{Oq|~h!3OlL={e-i9C&c$cd^M-?nD!TT`Lo)tCfULt<+n)yu>U>xx3hK_0;oH8<-r zQ0S}NxJ-aJL#aT9NrA85a2fDI0iyW4RJr&%VLi`gl#DrbLIf1&NR3jv0a!Yqbh{J& zP~#}yq1V5f@<&r0+{@Q6By->$1=`afsOKkY4#?| z3b{Xgc#K{0KXSBD$s2kT$T54;rpe>0eQRM%&JC*2kO}Ha+;WvLP4#GT#7hqcSSq;s zR?Rw$qsV6*nwVEY$C-?yhf%LWcu(NXKOPf8QJnB?iPZn)V2OH7VkCIJW|i`%Yz$XE z7hcr<80|5(&N6BtnsUen>ybE~t()b)HXhbJ9_)qJ7p%&}l#FBJhIF$mcZrDPKNiWL z4Kn9_RqK8pFuedT6YEHI2odKo&}ESd)SpRVa@p4DId;qb``$_^)7(LANrZK;-AT;s zy%HpfGQAwet9(oysrxLOTXyz9A;$LCwlHlOU-n=b>4@g|yL5-rbvM{hvTQ%4ojFH3 zOZqbRD+uK%U49;<4BKv*q<=3ti`!=HeHBgySD(-%a@b6B_TASH=}vi&$mq>jInw_} zLV~2q)V=P(ACdHzgvB!q!Qx`pn}`+nsAGjF<2J~=c;HOC%4#K^2$0+)=In`F7SnY7 z%hX2z^y`e;t%2DEPACT&g4uUm7^VxW@l4mtQAf*<*!F!4S211%+M+-{qQV~WezM6O z@g)lxaL{6v-j43sZ)9I05UiESJyuZ_Ma3+{Y1vh1{kulREm1d?7!_kiW)xMk5MCbF z9&uKwywzW$!VKIk3vzqdZl8b!1jhYtUI;9iqUte{dov#%pLHI=508*D1E>V2b~?sR z*8gkEejr@@;Eh-(C`R^)<%t{5NwS9l68Zss8-?5M7_H0Ne#@?jTo2Ehv{vm&SSDe( zkJM1aw?2aj=-)X+S6OmgOn^Zq^O6fn2S;FT&Es@btBo*Z*DsUp^o6TmPM(y`dbSOQ z$u#P$$D0biN6j>+Zh6wMzz#L+dowaJpL=$Ck5EJi*PtqnX;qY?$YH+k?+gSoTlGVE zEl+4U`O>*0?0YvH`{qilPe?h{#h}po)5M-+;WvNhmV-Np&oQ>Ddw$2Pq1wV=a~*Il zk;c+l{W|%*puI)20*Ox21TbsZ^z2EE%OrPKrfWl*&SQg-&57PBarQ zXVqTO0%kn80zq{kZ*Yn{qv^n`1liVN^dnJ$h!m3!3N$mcrO7Cct(&o<`H%(!2;J?8 z9b0Wx@EqM?H~itobKvN91F3NZ{#7I$Dwd_5Z@$NJ9?ZWvJ^$5CA_^=+% zF(PCEiurIhvEiI9g2b}AUh~$9YGT%z%(ByPnpLr!r zR>S$Hkz?`ZlM0F^s#*Q|*PSD~O>518m|nlIJ@SzX(7a4Q!vAOczd4rl0HE$?6bMVz z8G$82=AQRyS?w{j6L(;3x5cO|h)w=$tt)LLn^mn>=vga^mPgz1t&_>#MY}}r#3dS& zHxna8Z0-Eix?<-qCEms?zV8ybcR;)4>@+{+K%W2A9(L-icEMQv+stN|#p2s-Ck69L zy@TUNcxDnTeepdKOrPH6f3O?3;5txK`=GzpG6F^pl;e?FNAxbjb0u>GITXxm&%dYJ%>yD=@qr(($43%Q$b+AZ&q$E zD|@0?F5gT@FOOC5LNN)mR$rk@;&!doD|Gjaz&zYBX`fCuHvC7ZUDtNfB7PLfglgIG z8I4)d=lwt2p!l^I#oBr>^_tiJ51LvLna4O#YhRnu9!)Z*U0X0}_H1fj%PTT7 zO4ofPRujw{TXwIe#ndQUlXGP49qb;9))qiPseSTKWY3Hiv~UdI6xtA8(+&LF!)gUc zP~dm10-T9@y30SOx27nMb660Xbd#QEXx-<#{c{brb#wAYNpQUk-3hgF zKIVE%UW`&_P+~n@)1S)rIhaa3UH@h0c{skYrz^Lh>zfY{5fY9!jdV?O+hChD$ZxDa zZ-h>ZhYsF#tZ`&>2od8K5lQsV6eij9iYtlRo8iq#?o+%9%llRxn2R>_u{dal!c{8& zTeWZQO>b&5Rb7TVNjZ5$ZPI^qv)E|H8ScaYGzr)D8HXI*$(CspCf#6Itw&K8WA269c4^(S}! z9uLlNILMs{gf<9af>to~#n&pMO!3XmmdFmsDPs4&CXspOgcR9wB zJog?<31?r`N%sDhJ&PtSQ&EX8%c7VbqT+8QDNFAxKas!O263zl>fvekde9DPT^^eEVSN^~ z3}H3vZ3-cl&f#F^uSbk*rMHRUJtIfw;Da3LK%-*uCq+CzOqc$Z+3Q#BPj}6!fLn`$ zmerPH_%|4VIJwhT9*wiX1}5_-++=91FUMK3N9g;Cpe2HjXII|n+%b@2yWgU@**`;s zAA7f}#J<=3la>rL<`FSoTe-qz?1r}~so=&}y0m}$>(h}|a;XeEY~y13)@Zcs)6utw z0^eID@45A_sQWOD9*%Imw^Au?|NpLIj=}CTysV$+!zp5uN$1I*vdr=_-a>^KX%cW1 z-}%z`pOzhZX}Q_;aDHXiNs8}uWFe9K&s^K*#j`_y+(IW=ffu#r znlrQ1B2d!#2_oH)i`r>EU=?Y(3l(bi9L7_d(&lby&dIWQ=wkis7UfA_9cuhNigZw#nw~2jJj{mPRE%?WaEDtp z!{>x(IK(wQufWvt)k{4v3W~E_AhXfI4gKStezKv<(%+6?B4dj5fp@Iow|#?cjP9+p zk%Nu`&tvS>b#+5ykNQKR8TPu)M~5inDwXu&>YN-t#E0Yf-s;hQblNwkla89;)tV8q zoT4PdQuO}WWwzwhjv0pfIo&T_{p%+J9`XlHC1lJ+uAe#s=Iddv+d>i^w zC! zM5W&Fcw+1am|bnWEAdQa>ozhgdTux{0zVmX;tX^=Fw!#eZ}^%!kJBJr%e(&%nbcK% z_llM37u3u{>W%+=Z0*|0%B8_3>i}7sxlbqLzYdzV{iI3Oj{q2hxv)i>=5)rHU-aCF z;AV&MA_4(481t##p=X?Bq0F&vEQ4F6<1?_N#uRZG z_qNNmt<(1|)$4FGd^K9`j439b6}SrA$z!}~FWLQvoRZaKr%LSE{vTxDWR<_fbk5O= znrA)T(n_&zdCi_$b!)Umm$TcCyFuxeyXnHo!54Y+g%UE}ZM^A?N*{Wkd7RZwLOzDJ z*~Ns^Z}BSddJB5u?teV(s5Fk;N-kjL957V#kms#BDcBnhBpG%s>!inj-!Y>7?$@B* z+lCZzOn3RqS~c_fwd};p*-gkmC?9Kg(Tm2YCYbT{;d$srhA?P2Aj3>j`r7$IdZjb(*UUz*piM1NW5b=B#D6if1X558ZAI|;+N>-lb6FIe_pnoAswt{qUfWf`^m=$>ot z4Nt6{-dryGp0(Gy!i~-vul0PcF7|T`e2>mZD26u7&yPAK_it9W#vP0|`mgQr*Dg4P zyvVP@Gw383ybt85IqwIKQ>&0r3_2;pTGkh0Kq9acJaNP6&@}cF9sA3Vd^b&g1vtXQ z>BSikm$mqtm=xl-<0dNBHTn=YdWoBrn51P2s(me)n4@-Ci}MSdK71xQ1EYDpHJ z<8+n9kb6VOk1C^TK-Gax*HdecN|T)rd?0LMOIAYP&Ce?eF3h4aFo`mXyOrZkL|^8Q zac^H>6jiU3!=8cms7{2h540ll-ps?f8#cQ?{rgHcY$^-=``*h3@o)coJUVV@ z^htbZ|IT$+;`M5x?%$lcqw|#!KT!?0`o7+nsc0FwY=Z>o%LzB-kz4AG6RlWEZ zbvo|MNp_!Hwp3J)7sS}`y}eRvIIDhob{)A4zPol4D;Jy_JP{QZN5KuTJ|j8Ns4>`Y zT5YoVg&om6TC%~fzQ8Nrw!i3v>mOybONsT=wCECJWd$l|Cgo~-dQKVWUnyu-yWJv<=f7PVo39M5sA{S zxLKXSp1lTYPwKJe#cL{CJ-LFKvurzqxw&;3c7q>tdv}wuYImyZ!q*rtTZp%UASHry zi-FBXo-4W&9w%+0LQ6Xj0%f(d%Q`GQM~Cv>){u-gy+xO}XBS~gIOSjq?Y%@237fji{U0l;f$Z*oKE} z8P3I!Ds2?$C-YB-o?8FM)V0Sm{r&&$>LaOC%C(YIa?ky;u5@upLULK|l`=DTHkBl| zsU+l9>4PG|r(9wqm$_~UA(vs8`>-+FZ2P^p_k16}Ki_BPyw2OgU+tP zRj0z@%QK8N>%5BuI-%NS>*~Qbj}0#M4qrYntX;+BAmV;wgB#$(AEr=oTQ9P1O(K;^ z>YYLaf3C=n@*ia;N5?aKhVB11Jgtb4h3D~q68-88p z5|h42BqlE=gtG~Y<=jE+S_6rb98Sl?b0;FxpxiYGs^Lztc>6C!deJI(f$LWPr7R!RrQNQdwPOAar*w**Zj7F>C$G}xSe?|xXXecvLhy$R6eK4yQcTqQD3zK( zArPX{dS1Nffzn;yGKi~dQ52sG!=oxXWR(-1X+0M@{zwXMC6Hm9Cvw}86RRQg)va{8 zimL3$llG=>oIwRYsju%e-{vTF~{Qc{-R`61Yj ztg}K9hHitqI^zOBv9-RgwIfMPogBJEq4}4Jwr8Ydk}YcB54pyXDHg*Cix6g$41vjV92!wFI~mP1AaE*rxuHBZr;OjpL##?-83nVstD&2WHJ4bx5Uqc zAUP9(ET7%=X#Ia1W|x}fZbZ*)lI`WrLpil0$MFV5cg0Ivap=pv)mZsB$`EHhSJqin zGFcTE^+Ycuks7{wzwy#!fmV z7@;Y96sgx7Roc0n82U{o;K zqj$t^hRz}$;noINh7X&_^X1}?w$4$_yUk5J5xK~4Hj9RUR$L)$6mz88D)&m+qVQNO z2RX&UxV$HdTN+&*cu0PuImY~pI zC%xmDn*2m7CIKRj^q$f+U{o8P^U)E;d%d>p?N)nhKU*=0=p;BoZ~mtIs2A6NQ=ys{ zCL6BI9H1cx@`h2;MA06#7wIZQTvn`+HhX{^@4HkX^qFl*ofyu)H5Pgp?$@s0#sG-4 zuDoDBOmJlsC+tyNrW8;hjjwTt{w%wUw^={jAw$0?-=PSHdkp=#;9UC4OiD&(9lGOf zZJ4$YX&l>`Rfb8Rg_T)^U`#uGJ&=U*{GKMWM?ATBxMe6CL*6GlPeW=CSjD>@?13ba$rMXs zDQaF}W&$k%0QlfG62*~OHq505jITb*ka4DyHLof$1OJAaQgo}!ffS0$-JPgV;@aIyu5M5!N$e?z5I56>w zp5JUU(dXJ03M77=^~r!$~Cx2V$1lMl9XZz6PUL>|=ulouU1f z?_)zR6JyxQF?%3e0G%;c9{SQH!ro6>!D7HW2ue+yb z?`^4(g;d+^qpW#^Qeq!4_B&RI(V*y%bs~0X@gR1VPg|=Bb7#<{Dyr6!0X~x%O*I$M zZn6e;AfZ6~c|+fiHG=8K^;yT9ART1~nBNH3b~2p?=DU;=ovLsK@uKCCkncB;eWCCl zRzFMw0&>VcFR??eTbAd3j>c}+e(+Zv7@r-*2XP5^$)_nl8dH;~TYnn0Fmx0$o``3U zRt#k?ISiHcAxh{pBxFk0C(H7tYS51CDp;B4H@X|vq$EmozQhDOt)}v9niUXg6KVlh zVA=0$$u|EHujoFGOfysnwOC0bM3Ng$F|_8ivHXP}VWHolV}9Ab?Q7=2D&B#kGG7QX+RHHbS1okx(%)kZ&s~_?RsLV?+dYn zTt&Uis$<1!2e>cZa4wdki!Eo5i8BV;FSWsu0a>;o-RL%pSF-XM+%ZIr!aon-^RDTq zDgA557?x!5yXmpChNvD4m8Au_g6bM094L6FuhTfwI#kArW?KGc7|s~vUoViO zec`1tut~$gBKS+}-0I8 zElobf8aU@=N3ONbHnA<(rJqCxCv9pT4C@}eFvlCvFpM(nQ|Z|vJ)=ui?L!Z6yC9N< zoIBz+4*q)NqdMQ@=#XVXBT=$)wGwvpG@#qKufiwv z?3fruiLQi$O)H1|FN196$gs|3Zz!ZIksR^@+&IZ=fN&15k)6dl=E#IH$Lwp&&<@i@ z>{yoL;12rg2bCZi#Eo@^dyUiAwd_)9Qp ziCIN+F-ZodX#MoS1JXSPumdbVtPR!zRi(gj$6BlfceMixd#34TLqM+?&0IR=CW+nKBK{+ zZc3sonZ6P{TKg=mc<2Uz;%zp^6ViCGMl3j%Ak`PTfU4KDZF2*5Ck!MLF67x>@>r;b>QfUy3VJs4pmD z*CFq&B-OltU53~Ba#5BNUs{IFEy_^7fLtQ*F|{TmW#og1TYQd;fM1d}F`Uef#-ge8BP>>$7LE!76*xB9WeHHL`)FOEm^AN1g5(+*^7s{txAZf|MNhT>uQY zBTH1ah?TzTOkNuRuNcoTrb%KHS^b1JePu_%897FNS+id3I6XJuA{4j{WUgIE4^MWd z=^pq|7W8uTN{lF@8mXMg%G7mJ126F$!^$VNc4n0AE*%W5`W5tQR-182=XdFc1dpyu zCCCt9==YfOP()v=hGbC`Dis`Qh>|qG6up!gz4PH~)Z85o5x5*pR5luptQV1@iP(U9 z{ccy9+AZYR_%G%mdNXhp8}xqh=++87lJTvJ#8yPFuahfoeDA5T9U&^eeKi6=`zrDs6BF8+yH6ir1*fYE*U-Hkbh>@Se zoa%paK)D?=Hw0chBHS~Xbrbx2N_+J0bWocE-3cUMPKGbjZ&B0^<*izEFKc?7lUb!S zsN9Dxwg(?#O@=CQ#um*;&=}7O80+UyNy@IEbh+>xaB!*YHPl3IAc9k!mMu~W2?nmP z=%siQtniW>)&(~nZ*2KCM>OpeZC`f?OC9D?_AdzWb0s|@ibAiT?_yS7v^=oley0R&-e1qAszEI`rh!KFr$g#|JZ3g zv01kVOyS>JDer1`MckXj^;sBt-*;eF$nGiqsNyrIg_Ft83K{4s|JyBG96f%^1XaTP z)X=`q_6OnstH$VVI9DCAT>c6EtyvM;3oU7Xyaw~Dow&R&8TX#{T-Lkt*pWrkbGB$%)WHFT}w_T;EYbH8C$iu>M+W?-vs50Ln*bH zjXv*{(AF%Rp!P#)i@54|>W>5{p!A%^?lBxgrn^=+!&px!hw?D=pJd4ht8t7bh+znBB{7>X1*%A zBUmjwK*(f2w=5`q)W0(-(AoPTjqD?H86*m52Dzqh5{&Cv8<2y3;ZPQD0Y86X8G7cQ zr&w4)qC1x!RIsSmKzx8zQ$<@5^I#2JLm96s^Ti|73;XVB;qRrkT6cp(sPrX$;D^j* zpBJAU%LCMspy?DC?4xs=Ca2;nOYXN&lF1Fq7=>kaE^Ok!j|`zJtpLmbxjL!s^ybW{ z#T6Gw&@zAI$7<{xe59-iauf26$F+F4?8+A<1K6{3j%rbh8cWIt0NP~4gLw_CD*fqZ zUu+wngZU+76UDfHgZTOVe72cn6mZ%-l3o_uDpAS}HTV-WINsxIqUOnRTWbd;4MaDn zjx=Q@g!=ahF|-?CYT-pNTy_JU~yUW4gG8`21aK1JJ!BXISII z39DFcXu7TR-PO}tJx+Pt*;$1q4h8Py|1Nq)Xd4&jdd$LiBCKh=B|}IPSm#Hc7hxIV zUB|+&IV|cF>Ae^Y`O_}E`*rT9lT*Q?DykBi;b;E zUywO*oD=biGGuF^N`$t|0~%z}$S#`y{8rC=%x-k3v0XDxv+!2Bh2D$V2cP_(O{(%W& z%H^?%nkVikjMd$k<*z)22N#fxq>jNwdN~w+d}q))fmYut1H7BmM<*-n_u>o!XCnfDuRzwr8^=Z*8^n?Qb{p0QPZu! z(e-dco_4vM=vT2K!tqv-5BoZDYDvPgK6Ns|VdAq# zylsx`73d9vR`v?qr}ss|MD?$|MLa!K20gp9Z8H34#gF>@mLJ9B08(&a*N^;N9WeUh z(ETc3#~XvwGj1=-o*SMehVDD&l&UO0conEb5?3A4xg`k|8uCsR%AdS7{hN|u@AVb1 zuz1_TYoG0bvx4be=&x>MoS`1vG`4f;>&&gUwT$M5ScrtUG6{(i% zK8dHV8G%C(dh!;cv6Saq;7>@CW?oI(^x$Z<)qgz)>jjJm!C}p#~ltX%TYj*1bvd6=o%t#>qyUL#ev>8s`jRvb; zw1*(gWrU$tx$e>dwS*`B)lz)!^`w7NV+=-g$zpfGHGU_`gX^ST&S^}CNbqL>3f05P zb;#0V2^BbFfrOr^EalaQ2F5EEZ}{9UBeKk9C*!G1&m+lQLGG2W{qjlETf^xrb`bPq zy<(4i_ZRahbRVvX^;@2=-{~b){iO}K^b0pZ;1kQR#S5yOEChZ;us+(893RYT)t$#C z1zGEcj5p-2QvQYgOSABnohR6@BE72AtFMKm%)HRzK4xj+P$hssl$)aZ$hy$Ke}avS zQgflo^A;MsIkYcr+;NAG5An&0@Lx3LDd&=?^q%Kyq!_(ToTR9Ci1wEO`hyiUa z031_zNn5}1V}pr32qW8QzFd%=j*%A%(=ypGeHDOhGP`{ z6-c8I+VzjCJYTelu$%M!jgJ^jS%`U4kP2|D&l>FMy=F+i0IFpbLA2iP(kAC2vD7;H zjwhpS!lekuwyg2=>b*jafW8xEZb{G_cj9!^&YJ6*0fT;VBO z@3UV2%#B06ie&XkzVYmEJ}#l{xcf>mOB$9l&ee z^n=_q?O-?wkq7_ff74&9p*gI`6~~VG)!;Rx(xr1(@2#I!PXbl<5i93|QflZvfLUPU zIX~)Ihw<^lZBqW!-QRsV+y~+JYgI#uoXO<9_Hb6&Tn1aJq-?mlJnQMznviY@TpJUld(Vh4nzg-@6d zz(~lKfbsy$epH?z=R*l8rMByUWqX&!Gcy0Tfd(@)dnX|{2prHt{zEX!7zo0D<|F!D zANpVn9pyhHA>i&Jk+9uMpbiA*G~IEr3WaBd$nScKKF$L+ddq{!qf3?@<@*Qr&HWuV z=meN7*O1RrR(!ruT&-p#AC-`_PPTO+HQmZOFl(lJ-yy z@Z*Uphr(>vuXP-|D5uvT@?9D8k<0pJsCuBg2`Q&QY7xL@nh_gc6 znU(wX6>cP{5~{>XLXuczyul) z;F2a~5A{9%y|_H4(kLIL5ZXi!&e}f^1}yXCFPocX7@>6BaAnEnuC+@?fqM;FAe_JXxro2O>qJ)hAP<$bB6 zKZTXtAo$p#&D{wXT-s>cN&ZN5lv%8innE^4fjp!!`|Au-;7U(fPZ1yk=}|$&I-_$b z5ij{{2j=2#b;(TN8P7qG$Oa$gzJ>p?)ttXZ29cjqdwQg8hkv>RUnrnM4lWdn{JcH6 zK*rf!P zk}fC_?O^1-Nu_Bw%e){`t@=5Q>c-^dg5Od|i?2S8-0h1&Z_>au| zKcW&xRHKU1uwo(~)I6!B2n%?8e<7=7DBHo+SLr&|%pq zB#h{~Y7g$<2yKXBU6`m&-CJfx7ZX3D7yjN`9D)b>4(}iHisHvI2*`)BTh!ws$<+-Y zi5m_?U*z3dA2?CF0K&ZyCaSz*$=(lO>l5>tP5+yFoO~jFvZ##Op@(4~Tu_1M%(?41+%7 zhip@81E2M=mY$ilqMCek&#?c4olU5Sfd!G-WuOB5kcZPFWJ+4Y?t==e(uVx5+YozK$!v(3}c!{$7c~9lLc-WpA?b*oN z2YV0$0fV;6lYTN0^Qy|j>Bz(2Mjy*FNA1Gy)JLWKXsPzq<@4jGm(XbSRQ!)NVnA!q z!r_IV5mCQfl`KMPup+>zwAy4U571g{y^qei1TU**$mW7yd^P7`4^ zLK)s4bac_Ur)<;aSX@whC{&^>L*ccy9_kK}r8UvlRX%6%zN%yVo?60D;74?#0kXm8 zgR@Cdu>s%EWY!)0Lx)gTr`8}~EFYKo97{+Shtg`mDNz9{$gI;dkEu_WjDN=t*tS(z zE#9K&5*(KK6K10NUdsO1g)jXSG7RkTa>#yOVf#kCTA?`XCDC+%hgVKxAtORmQ4-uI z>vqRxQgpqfqv482)?`ztjiFEG^`S|8WFA(CjL0KUkEcSJR{BaC@J_k6K5siXGB$iSszom(norM+*nJ=-igmbvl?<+4?hE@$ zSV2k&)5`1TTEtSdUu8J@?=o&{AbLPOz%`B>y753iStbW$05uV{`!8L5tMYrO@?ILu z;B0DI)pec%KFLDvraVXWh0cdt3E)Z-8l@n7ob0L3( z>{$$N>uCbvSg4D9ye9>+!CVP^9!s(q5d9f+Xm|*lIoLg{csP=v&J4WCS6e0Z z_<^VI%{9ompJfhO92>g3I)dy_n5iq!-_K{GiLKw9P$smppsTC>X_{{xb)v<#>@BiB zP9C5lKZ-MCRwB=Srw);mr}#4hhw6oQV7C<68s?E(mrH+9z9gI>v=b|!C+3R^S|^2X z82Xr7q8W^;LmPcaGPZw$V`X%5PvHCwIN8d@}lV zWOsW|D`}669$gmhsgWJQ*w$P zdWP2($Loq*^5kt(X>|N_&A>?tG)IHSm2|ShfBDFPw3B)y9?RpkkcC)(JVQm#HT{*& z1R3*v_xB(yS%Vzy4$6!#KKNok>y+%!44`CSMdDh}C#sE4f~PFP7jOz5YQYPe=@U+Y zgYzA@kLy6tzc%>KxYN`=@u%=kUBX=U40?$o_~rz#iN5x0_%Zvb0nUTJ&pqb&PgR&t zQ!}TlfRCP|tk^a`iUXPH4sJU;yPD5Xh244w-N#>WB_N>NFx9@EYe_E(xdZT?LwY5I zh{%2zOYRj=kd_t~f)BdMvMoRJNoF{y!lX$3!J_grj}bAxrkyHf#j+%1fvd&!Kbv{b zDT|t$>t$8g>Vo=xb`7|$btzm`V`c-k%7fBCN9rX0ldI@uaQ?GvHV$8R?W$eF-0EUC zDi%aK)E-F!=AjA+IEMC;aE~UdumsP?h~YmJg~5eA`OH^>NU~J^t#Zm#Jp)! zL(wAKrNI)T$s2U2?R@@PCM?UpkzvBfn;|n7)_$l%Z}>N^DlA&o>C2wc$u8s`Vmkmd zAT1`0uyk_k;B!wEWwkEV&)z=}OefUj?mI4_bsLpQGs@as=H6 zBA2;8LydEVw<891h@IYpn!vsyB%a zTuP^jp=EmT+IZm>kncsjg46Dw`oZKFA@LEZl{;&Rt0(&G<|+2Q5Z`z<%-Zu5*Ue~p zdZX?37W}t+Jl_G}YQ`^BM{M3K;!;(s$s*kJj0@i@J05ZtLx?r9oE;n;S}x#E1A6X? z0tzvjwN^Uh=*LI?_xtu0P6;-SeoTO3Rm8@fzmCxMgQ#ECd(9lJ+vu|ELR@R52{&~* zZqZ^idw!t$-4K(*C}0U@Egm6f8>M&drQY}8&Edg44{0UOOQ(mQCOIKG`1(QzeqGRS zyzwg`mXD9T{tqv%9Sss`_#&_be~^33=)T`%y+P2O-gM7Gfev-OpT`2H;r_WF`1}u6 zgvN^R)2lO#0L%|i*{h6kPDaqKY|#-JwkN10N5f&UUAq$^*z!OW0#NX;+WcOm>?h-c zzzA}E;OHjxi4Xfg72*fmvWN;SD}lh^L--%vN&IbB!RFHFlbT zL_YQ>r$@iyenIZHIOFopsFr1ChfU9a{iBj~0T&_?U%9}?)0g$*BOfu&i?trb@*6sPPfiULW&mqIeB z+e-P1{K>(`zOH!UiCFfVmGK>x+P6!2pGeo3t+RbTUtX2U-&eWXi5Y*WZn$jaKiln z+qdw>{4}0=`R+3YHPfO)g?wtfFo%c`Ivf9AQ}Ps_;KYfvG_14o?>wj*fBJo$X+z4z zYJX|guFrg)G?!x$wbb#qB$ZD7`e)fT4o{7VTXav&@ClTZS`6vNxXD;A^x(*?ls zCo?Qox2`0NINb7UEI$ReEh){$lVfyoD%xrm_I`~3I{Ep~f!>5=7iIEQzyJU?fqfg( z+v7u@V@*AIDtMJ)=#LMdtOG3MCV#@T&h%l0_MihI59lg)F7&>H1AknqZ1IS`4Y}D? z9Auq&cKf?pvz~N?91!1S5vQij^$y4Iws>#=-c`%KHPa^M##S%9I?&y93H{tB4~v*T z2SS6+_9+%Y%Ct^O-UKJm9uHhTUB8??cL*8rnQsZwCdgks%*Op)&7V<+Y~|uXs-dU5NQ)l?`6865+o%qo0vcP)+g!|#m(HySVEToV*UX^3eL(?@r5=n=eRLjpK zQ{OH*ln}#Y6}Bm;lxH;~NtdwcJ+H}?A;Q~QhDmm?W^l=3Upw+$EAWO0|1p`SMAmdk zxH{RLe$ATJ8l<%75H`QaxkQnR6OW9hn!8-RAO0qsONMY(U)Fn@)>oQrDf(y9Eobb_ zK6Q(Cw{=t31{&j6K0Gq_xa#fL;4yBNU!hiZ;$33uEBlhJFsr){z7J)p^?d_JY>Uq| z+{t~6O5G%pD(^dUd3J~J&%^LjZZ>BXG~~ z!08uU)DDfD75e8?zxBq9w$}rdyY^oe(K5uFU$H*L<3PFdt8=!a)W_fmImINN2p3$0 zY~DWop^Ttro#GGR&$#W4fQ)$PKL77T(o4IeWp18~r$4h#9JpeXZFM85rP;LkOMdT$ z;?cuM)y@~-^O54a&6Vez+U{B#Y5-i$sEZuD7qvrOXCn{{cwFm2ZFKIM+PFL`olNF! zYFn(kTd1hmu6UaN*g3_jog6=0L`cueWsU>L|FM4H?H4E8pPrYz+zM={)CbFKTlvRy zp$^!BPx2b`jfR}|>hYhV`XnGWrkmjx4?^VEG@xx;NOig`@ z#p$ORl2>o?W32>QPYr(Lr-a1`z=QzDe;d>8l?C7I0d0(*`M~!%2;!#OUZdFuwI5%B z_6j6fv)+Zyye0>^Y`~6q7T$VBswocR5xZ)?%y+WRDao{QNJ?9IdiG|k^^Lcv;=G)K z#SVjkD@L?WMLCXh@q>Xs4o98X zaFlwJmhW-kPkBqR-2CgHH~ROFCVquypHNg3_<-qV?L#K=DXAqujP`0loSYw%v=Y(} zL&GB~rjr+Mk5;7LyA1b*{u)6H4EWeAw+5R97m`ZFLZsr$2$Qow=yAGc&}03i(W50X z_z55}KttN(h_(URWJ_0k1QP|$Qe4lQ z4!-~>mY+9@H$G~7f=x`^Do90Ak*}`o+x14*?mCFhR9G;ZR);qWxV{ezWc~q8GlaB0`r6}{omK>d|Zpdu?{MAYjS$-YnA zJNQB83h=Iz;Sg41^^RTe=KsJ|Jq+I?yD$^==memy01~ZP=3!$)866YnP7k28NT3L0Pr(7`xYm2wLMi*j5kGsHMd4eAomLhPWItt1Az)gXs1&?oP#p>1V5O@R- zRF_X5&kbAOqlX|B`La)3&;Glvvn5z-^x0wdteqaqaUXbb63hVOJO1qU+Zjg^Nd+qf zGoeM{@AMtsE<+g5KzjP3-xLJR6-*ug_3d+WY@_+Wsw1JJ?-NL(+g`??=wWI`2FN&2 z;B4*;UTUQ1>gj`U=ppS7nwXo1&{3r}bu|6g_hw0cws{6uQz}Oa?XdjRDInI!Tac8BSlk{NN4K=cg^; zhQI_jY{fjSF{-KbG^rYhIZjrYGc=K{NFR-9m>^`}lbaHdHD1o@VKW$rwRcDXZ0rbo463{J>im>5uo!VITmP`Ch?4OaLjiKmjZ`u!Lme+L z?Raz02^_24FG-)~gbi(I7i8*vqd{xILO?ZTJN~)Nkr&!XQDXau^wuh5$00CTXE^8e zwi#*50mUw0w_0SLj}~8Nkjd&70#oY%+jlF z3W}|=;m;vYsV^0p_!GL}U1sK$WRdIbl0i;~5wleLKF8hICN_@=OofS7KFbrFkP zeQ*9LYOzlJ0hA!=;gCEMs<$r{3>Tymk9dB!ZV7;ivLtoRF0_Ktm~=wtwvU+h6#=p< zX;|2UziglL<6680yo$wNDl*@GkFCugdk{!}q@pDC@Tp!_I57S&xQ23Jj zzfy`i=0z_~^>s83zYi`!XWtU9rmKy-10B4xtYoy&F09@C5HfWg(npESgsA05;3JTj z*6bWC`^sx)5B_gTbtJN!)l>u`2=pJBbsVqLZ7g*@qW7njM&1c6Z4jDK0%HOY0s1J_ z3t?aw%Ad0D^Z9n-Z*4Ev9yElR*0o`yrV0_|lT7Q1QwX3DNHA-3GmK0N{U4-4s2_t> zN1WDmyg4nvwRBpSsSZ}dR|DQ)DRoATx2hULuKnT1d}WKT2$w0%4>Yp&jlTw4%tGx|ry^xvgj=)DGB))o*{&C0NaM1 zpZc>(KQKu@%g#(%uE}6`gPE@~q;>x$nH2qbX+hUan~QkjxC&vN1?^fBsVKQcy^X8E z0_>Q7q7WiHBStPK3mBN<#$#DE?ES#8GCz-uhg=(SYcV*|zZq-FpO2cz16tSm-@`e& zaIk(=oVs42u=X^Y^mbylRnQVIZFyM{IWGk?w0u{%3Y`9g2Ts6-RI1hp)TMvP)y614&uToFbU5e{D@%p>y9z;7s0>oRyL|UJv3`sxi02U|Y z9qJ~IUkP;bn~G>t(9cKmB%f^e)-#6YfK`(ftl|JI7aQ~>-eWnt__<8>r0j%({XnbO0_ytdv!h}01<*#XXfhB$0J{&u zsO?@p#LfgxoPe=Py&%4IPvn%d^^8ngrR>0(q)rYbvOA2HH3bqrv5mFfMGRL36$P{<<$>kS@|WS@k%Lun7*nvRC{#(5^nmD7#BBr_ zB-~Tx&V%94;OuVuJbmD0lp5eL88{?Lnmye>Y}))NF<=RXUoV$r+Y(}#TSf&nT{Ehc z?K+fzC9eV1CEw>VAEkXEuKq`8zqcNNR{ka*@*j9n;ZAc0w8iUGkf}oDy0mGjb-NHT z8I)AWOsMh%9RTo4qosoy&FcXOo$Xy!HuILf1++`xJ!2$V(PsAt%3cE?aPnGUAlDAv z#jR(Yw;bYRT2PG{ah<+n_15K@U-_}iZvczppI63M2Z)#7v;UvcN=gkVNt-VoHT5a< z0dWRWttpr5;~ET_dJarpqE)M{VtDPxshS^AEQ7E@Jv1cC`G7t$#!aN~7je$%^!ZY!z07 zL5&*A5Qv_}=TsWqUWOjJouyPzBgl8r0S@@;s$1 zFsA%k709K?1|h9{;Bc2`Li}dd5jr7VDZ@=?mu+58j0D_%UHP0#-q1 zta3d_>aMP>bkJ{uVRg#BFdO1CJbZjIY~5shU!*lw_X`4l=5Pe3v)t({x`iM50Y@$* zm^^ao2xPRGO$z2zM=nPbw6sP9XRyq0i-o#_IF>uuN6aXl%&dm)l+^1<6?6_fZva}` zr)U-6)dPV$BrEh@I5CRM;vK8<51gl!6tuJ38Hs|9NUEW7((8MAk)^;)qbe-1VT@>^s06j722gS9t@m-@sfX?Wf8QI z!W|L@s~P~NOnQiO@%7W&We~Xa!;(veDJ;yo<0^`llMIZxfcNu`APQB)=tY}CZMtee(oAh77=J5rX@kGZMoE=C=V3`vB*UT(!$qG8Rh-n56 zPkDg(ZKR@g$*O+t4+%?8FS`Mz@tIaP_R=lmfs=f>0O*X$F3JpV(w;-q z32YXqgD0eNJ1ky+3rKlF$df%rOZtMO9M(jC3WbQUV`vRpypo?^DjC#1Cd$H}@=9r5 zT${3I96ooDq)6yX2BUq_Xx%H_f5KIN=gh3bcb^&VTC?_;eVVSuBg5-3HJ9In%4@fW z{seBQfMZ2H>AykYp@*uRz!m}MRCIDxgSI)`0H0gMzTyuSA?FpWGCnyZRpgWM5~)Am z1Y_lA;&}B0kk##eC9E~>8PW$X5qW6o+;0uuw52des>hJ29!?f9PHn*^eDe93UGvglgL$9n9B{_S88Z7nmVpLSl63(c466bSCq}=bNM~t7 zty#889vA{_Ved1m7vty~z_JmDWQ#^zqxnJ5)Op$bsrK6FHxphF|CuL8ep$`NpL4+k zzy^564)na+I&{q8Mz)~w<_wh}RBnDOoj|FBF$A5h`cA(MIO$)n%xqyJ26OJx^ydEs zv7IL_O7En6Stsc0O!&>hObL!+Dlw*8CfQVHtnoTMnaMfMA-1u=*+W{j$f92p{^PF( z4zl(KKl&BnKf?J5CQ8T5JDVX@l;lvLk_VawCdRY34mYi%tAg7S*mRHzI7eL1UV?vE zBj=edVb_wK-~>tb8NDDoiz>mZjCjYTj#!12V^5trP+-204{bs=AY^gUt_HmFnwK&3 z@Ir8p>LAK@@I)36JK-p1!jOC?4=fFtZ>YYa5}|UUHKF%G*54Y`Hn190CVXWBKpQKJ;}!gdrGR`RE~ z$UCYXPX0h`zn&0&hSTF%IBU=Y(C5#~gr4B3n%_s~z})MG>rQB+fl8J?P^f|c>LBUR zQ()Vy$;K+s@$>!VMYijwNDe8nw9y@uGB91l5SHW49?vno`M*n>6y+0j-$XW@ygI(+ z->2O-ZJf@;wBMySv;+WG9w+1rl;vvL|B%(RZtwrs_sNZ)_w}Fw1xqikNZ5T!fA{)p zWlM|D9+vfS?-0eS?pu{BbI2&&{I+g(XWhd$ZrirRkR3&^>q3*}uO2 zN(MIRv|^Ij>%D&n(x-}Ft{M4^l5^TW+%&&_^_HXYBe6gtuGX9gKAYuIW~MsS5MdK$ zZwhW2UytT(7*E6|q&>Cf@Bh}ED5?1L=Y#i?)}P|u?RC~nN)m3_y+bndSPZz~)$jN; z+4MDs*DX7)?f`-v{&3OktvE^f*2$Wi|EfQ^`n22H=Fx$TXVQOJzHZrmYL5+Yn{pNE zrb>?$dz*jb&^h^^_fIL}o}hoFTyBaxYr}^Go#Ji!)KS~~$)}JB9%l6!`;|5>qJpjR zCT-g{6i|fBStk3D)ClcXQQ+Mj$vxV!2d+VP^8^l%cmp|9_X~=5pVHOf zKm)|PDk^kA$Q5FphbHWL2VQVj#%<7QCVkigD*>-hfrMd!>945J(mS2d@mNrZ z``=NHlXESx{-5`oz8y4{#|WaA-H6-3xQv*vAbK6zSdckXvA85SHOwz?2oeSUk?s=E zO7Vl$<6sgcZ2WneI~aR3GcZEhX;tC#DQoG1{8J+(`OetH8{7>zi!T`4;XNvX2Gdt+ z_6>tj=w;Kw5Mvzh=9AzowTc1vedP&0I!3kB#gDnZvIIQ>uul>A9!#I^3xEC{^%M;$ zf*@av_3}P#D`>Fan^x)Q+`A*G{U8>95V-%HK6O|Kc2FsOixv20LjI$LoE7%h^S8lA zT>{SS$L2$|X~2a&|HTQjsFsUy`^9v}TIqKn6O|Gzkwk2}gqJ1X8-NQ=@0-By zd;S}?(&5F>zc760ktyKF!ykXfIfhwp^xAgEQTM_;k}z)W@u|H^0rjG%R>Invf1#@^ zr|J5?Z%yc`gPCBpu*i*UqSKk~JWZ)~Z`g_kVq5cf2eI7ujx`5?xG? zF}FM`S9;Og@!_^-yJK*Pw=Mbf(DmK}mN7x9p7wcs_W+uJz!+#mjGbd~zYx3xygg0c z)9b9ARV?>GaC;iN_s0d%^ws|(>Zt>wdY&hgQo4~+R7zSJq`@GCqr0WMQ>06jlm@Az zLAtw}qf5FwrGD@3_AcyQo!z&SJG>h*KUD`(UFfy58xyaeacUhhTnimvI@!`L zuSdja#+S`+T=x zGYqO=fcPuSl9%@_^Mz_K7g4KCVAsvNUj#qx+ipz7n`_g&%Qt-wbyW%1T(OPKLijZU zVC}eW?l5&$9&=RXiwEGf?b9*Y8v_@3 zP@@90Pxxtxv+V?Nw3a;-mX!DJ-o^j59kBldj}@5Z5Zr_8$2pxN;Eg_IgUUtq4TGbk_z3sCNJ5w9H0rp<*whQLxdVR5KseA7bjsNYVuQs zcv245hjfD?{t2IlJ~tz9o?scqSo(2eNsKGP;6I=;2$ct9!CKF}8U+m&q4(YqL+^%H zETLT|u<}*NKzQ%s@y&t}(5?d=ZA%b98qgFuzxq&%bL$JZq*8g0L-i1Po)P&N_LK9v znmm+k$I|T%uPHW`wjc6mENP{p5xTGtEBKyAWV$$8d-53M!Eb7_7wp&~-WbGMKG=G> zlHrK;{=$cfQDARK-vE$y&L_hk0C&Nk$mC0t%b9>4K4>;U!7#^5f*CcN2^i8$Iz)_Wc& zRQPQl#Idnie&y^)QXIZ*MGLK@an~)R4Df6Wh>D(+9}Vl(L}L9fszkCuYXCk*^9Ei$ zkE7L{LvMT~WduvNKmMx(>c@|T8qRHLA2MteYmrRZq|EBX(*JUX)&pk?g9+%h74(XK z;TQ#+=+;3h3|EC^dnOv)_TS=XCRZ0SU8B7VhxQivg&3+F2s>Z%M)c6LR0@?X-n}fg zKXoB~{FeRG>IC4}^z?r{TJU(Vk$!7a5M%waV-9zX0lGNFT0aBFZei`uIoUtps zfeu=?w>3u9@CPBRMtq$u3pFOPUEMGmfF~CNga=(E>mgbqK4{f4&`<&V6cBC!(UpX0 za96-!23QGdxB;&|xb;1?#=n#f*0}>1*5yTi_U9a0|8?brI$u;KK6(HFJ&PY~K0Gn{ zXk-}MT}YFSOI2yx1<*p{Tmq`zc^%^*nlM42a|P}-d(bp@zh7Dykg3AmWVYB^bG)r| z`J*FZm?PfiV`U?J-5;-L0FP9Gqs7gfEE)JJhgU_A1BkS@85p^5T-2mIfaDb#W#Zza zuaYZf0HziQq=C^pWQYQIge$VZM?Il&dQsU|rdC@#cU_=?92%Mb!ivFe(y_pcy=f&ajjC`o1>eq!Ed!T!1Be`!V zi7W-~D)I`xA*aUEvsQkGUvrtA?uA#CBpUUT166m}U18wIq{~b^j{(ca52if~!I8*9{ zEa!(2t`CzU+pqC%lez(Si$IAbG=cVITqZ<+x2gMMMUyw%-34yTNz(zl9QMVyg~7Xr zLvNTTwfDFEE}NhE#4F)5EV^MwdYL%1o5k=E)+%67p1ZhmoPvRKIO4cywG@+q{}J;Al8ECXAQB8Rs#n##5xbLrbG=c$#VNp zohSW6Ac?u=S0~puwFsyoG(C&M68Od%so!01CIf#+0oS@5 z)cU(2e9#C?%d(Nmo*#DM5TADw!NaTHnszY37P=1Jn!~KSaVC*IlDX4L(MWK2Gz|b@~0d;H+oHDW0$&T z(m(J}$^&8?*(RR%wGSn?-rk6mL{F-rhr0dP*fZKYKlj$yX>)jKFF(IvZnIQ%kT;9| z!RX^Qdz{&1hPo@m`!{Yi)zJT9@`u{EL~4I}s6I^oaK7MqyY-OWZAkP*(P*8}+`aI{x!Rdq(0e-ed&lgiccTSPZ4QLF>tCs-~Vjy+Gd4FQ&%9W_O| zV%(lOsDWNYS9Y3;NjsyD7$=@ID8!fxhI;T8(GNO4PQ-2?EG6mpnfNt@Ri$<6ZvITjjASL2Q+_VOxHDd zL10A16a}V(6?H^)gV899t&K#5@gJoibbo`;Pm^Rj4Jr2(z>7Y5YZ&Zk@-OHK;6@{8 zD@3`4+Iw* z=N*;|F{XS?9-$_YP#XMDH(n6Eqa%TT-Z;;`9gmALOD0%ci=NNW+P#6Nej{mPCqr8n z^ifMIb1md#vlNSwaeGZEYaH@6Lwst+c0p((_Y;UEhasz|XygZ`!D1#-s2eHh)%Nx= zBFPtm!%}vt?~weId*_8|Y|gjt-B$=jEZ3R>D#~Ye>WaTUDbPxtss5}IE>z8?+g|&V z{dO{U78UdM$c-z)s~7elZkJn!BH|I|EK+>H8~Bhl)(He^nH=}Qj|&8-G1iUZP(~3ml}`d9qMiUI;Tb#l<2WQ* zD5K5EzbK6H2awTvMMu;gcgbiae3}7DnzwWmKp{9Mc5;z&ySFX$)x&_Xn+V{SPkYyZ zAOt#|3y)k%{&Dh7(*qpPok-lrrF~S$w{n{4(0+px@Ts$3^4MO1;OS9g+WW4Hn4Sag z#kXK4o~3~0!_Qto;X^K=xE7;VQk3sCn~?;}6C5LIqTSwUaceM?XTU)@4#3Z;IL|e1O## z1P+SDY#&0$c89-%W=R*kX)t%q-C&L_^PvCF{Z)lwz!Yc@crqqxEcPVmp=xs-@YdSUH5>- z2{m!=W3`wI*Oqjv@ZNV>Rfe{t&wuvT-}(|nNQ*>t#Qx^f)I=7tQwW4dQt8Oz){L)T$Vsi|C%CIzkxT^=K(LR z;V{CkWPS_XpVMFG%<;0p11l{hWJDv|m-o zFVy;(me)$MStkk2OP*r(SjhhAUp6X<)h+sjYU4a@BE4L^ye6MD3?T$j&Y3q=u|01H ziW7?wRhcvjRuub9%KM=T4vz(tSrZf|TcU#M$-xA*walNkTezI#iH_`YKW}b_P*rye z67hQ^4D#I2kvnerU^^PE2n2ySP=wGUyqLY(ZM{vng${gyUb#yJp6yY@KPS^MI*y%x zrT*qJdg&6=%tg$9S2H2^B8aH9djBZCTmRTb)1h;TwnZURjJx+S$rM^L@Q0rtzCM}H z!40q!HI&7p#taBn4B7$05I~$CR|}55ss-Kdo#0LejtEeQR`}C~1Dc|WCiZp-M+sx7 zE3O6iM))h+L+oQnVUAj=Plgi@(d-n6mqBVb~-O>vmEO`u787>4Ff$JnyZ3l4D z9WMw|A+6yDUc;j&O2I1NkdM64^nVysQD~n#++YPL-Pv#oNfaPP; z3qPR@JD(@E@qs^*M!z!MF=NM`^hqB%=u_%VmrgIt>)Cz6hdLRRP|UCp6YTfO%wTwzO4^i;Cv7AO%Kc}lQo*1 zu=2<<1why-ze@Q~AceiAdj{C`qYIJd(8IQmq9ddxR7RN*jy6|x4yZ%v+pytdjIC-f zM(o=1?}3cgGdjGs7j?f|oaC9a6i|!-7y#e-`uojxYJNQk9g^U78TpLXIw_2GF2XVr zs~5F6ZuV1Xzf$(+dhM@}-jFIno$G2z zzpRijs4Al>7$~2caH$$c*#f$1M$N!}z(0d1De)>4hE`D!0rTE@Xj9R>Fp!T)%eOA^ z2p2#Jw_|?)5%Y3HNKA#+>e+xj1^-XLuqe?xI1&|0LZ`hC zY6|i^>d$Kgaq>;}k3S#TK`n)D;K&8!#eM)_#11oU#{WcqmmQ&Cd-fbu|I`bQ+%X2b zGtg3Y;mxwq;m@U@yyx*=;z$L+TYrFC zvsXl(p#+TJ*ZNPF9)%046RP}=q(5F6?rgJ_oXfx3e@w@)_CC9N;yFo}op5(tUi5P{ z(Mo1QpT{`q`WAuA3`Wuba@?SZP|Pr;w7Vt*rUR&YL*$`135viKIC(F@%;(`=XMdd| z$!YJzwzjhOFeTe&L(L}XPpM+~jAevjiKc$mZ(W_ma}F2_vOi{P{&MUYFY7qU`+2?S zQyf(tkjCEieUEuzAMqhXLCfFJq|vSDJq!Cr{BIHn=)KF%#ngJk&o>X)Z~30QM!S86 zgKQtzz&jb@nPR8TktjZJbdNz_JzBjF4$i{Fo3G1IdNf%ec;(Qek;5hEdfAa%)abh^ zdrDl2n2#2s_qjE9zdsV&rx{@zvqy`&@Na{`BmwJUZJTj|eXW`j37svTSm;~;tR zp9Gm?Ev~m4_(g`0jD%8q8&ItO)OHwyaRVdyF=C0U0`4{&k4$hnx zG4Wt$c5p;I4{j#-k54)W*i7CK?%BD0t~IMwseC-(WPfW6Va}n=$}h6|x#dDR<(98i|=oi5s0J+C753GVx~gsfbJYNv7-} zPn~DXy5adF5)HjQ_ktx7V%H`W9gJB-_REz6`5@^~qCIxmPvn!YkPwz|!M2|=%;M~S z+06}A#7|k^RLvIIT35lIX#PY)Gnq;=x@iRL=UDX0ug0GjS)E_I7cbrd)9284IR^V6 z+fz*1n`(?OZ@gWrZe+99(5>s@BI5wW1qk>o#ZX>_#SK-NsyycGs4gP$t0a5GD!!1R zDQou8jv~SK-!j{W9J;ulzkX<{g#BgOvv-hGTC@AC_+#f7fw72DeDXq*F}ru|clOK4 zGdVj3Q44;9k(Z2d_%V1Y&LN9e^+h6$5;aL4(P6)qC3kP#)0D^;)T8@)qZm z*S5ZFvvMl?Jb`aQYn1;QyJToG6gW6PLu4_OWkyytdn7YgwIHyG4PG%j-|atPFoVrQ zD8t&yJiekWdH);y!6>I+S&I@O4RcKI-cT9JicvhyZJC?lv)RA$o9k%DN=I#6LG7!h z=*bKz*$*ETC-yZRC4$%RaDyeXHzrlx3q$m=cCCK(aFwVB?b0_ zA9@v%v5HEGuoQx6@8GbO=c+!gH|gYb$RIB*y_6&E-F;Pw`G+4bCvC6aNl=O0q2H4m z6vP@>|K#c$Jk#_R|5|_)EIUwC$k#e1h9n%6LC3OxL`WW@WR`@Vs^l>a&cKbM4mXWm z%#8l`@?3#Y=k(Hkh;gAxg8uBoZl-eGGpdUgXQieKx>xV=E^{Fvi$gUoS@aBK=Fy*1 z+uxaiPXD5M7U1CIe<#Wsr!9?C-?OS$9ogV)XZn~Yr%zQe97tNIGv?sXiH z%%NISwHbCued-#Sj9Q^m+htS!OqvisW^^wIr0QGde%X{?VWkQ=w>Qxd6G`v@1D8cb zP#1l|Rpwmnh3;>zP)k+cFM`kNF|AF#I@E3`!^VwEF*V*S4;TvYFnp8nz?3vAp9&~s zpc<+EVpu5mMAGcXlz8FSn6a@=Y^e%$*3TSm#wHb7N2*)tkEzI=zqGs`c$%0T<66V2 zE%yh{qUC+RG#h{Z9>!cuA`^!D!|))~x^q*y1;40Yq+I;@x@#_+wmdfdnJ6@BGv4*` zGhb)#%Q2A>sNCP+YVhFxRFWPy`*P6iAS1C-Kqfo>vNTxT!mqv&rSi~MIg=?V_k%uu zh3bqBPaDv3`)1FaN8xAtYcqvo+sn!d%>2mWM-*%yEHad5sTX!mnk9-C@eE-snDzwM z^vlRpBFCvSUkA&KoAoXGh6k%xP-2g-mtd+-laWKjCGRwreW#N2{ggF`Oi9k`I&4Ex z&FrU83eAYQ=VT~Uex16caRpiqo0%hqk5)28Ojo#2zs`z}cMMM-xWHwK*vU{Q9)PqL z5RK$|q}Xl}8{EDuKqjw0?)goBKaQ z#b!^bbQ&VD?HUEsa!2%N{;+dV73aNM3HVMa-@Zve^JgZR=jJuyT>Lc?qC_~>vvdf< zTw><4k(EseOgb}%DYQZ-S}W_K7;b}8pA5;s@L@ATuY__|oo~BJPw3`1m7ol((4(?G z**fGtCg9|=_!fdUE*KgtCxmyhgc3?AKfYOlt4^BO<<6q2g>Pk*3!lZzBE+YuJ9gfd zSR0#8-ysB7eNTCOl@ziDmIddHOu^VDueo?UKVh(T03d zhgpkTwH1|$p-Q4vzP+wVDOl9yws&VJd}h69cAI=kt)OfV+f4TObxAfHbeKnut8nVt z3IJl{2lchms}L1T zls8L{p`s~7ry0#PV5d}xcG3reZ6B-vJFZ8X-6W@73n zdO2e4zELK1ZW`MW&fl_DfWh0NO8feJT3e;ai_tpC$o!#>ki^>)+-obxJn*NH?KjGK zd#HgXD@u|oaB^A1uA5!?z#R6(<4}9LLH(GSbFefA>n!c|nCcaTx1?OP@VVA6Y(uO@ z2{_n4+eJ9IwS-kn-&F9%l4beK)f{6%aedIBu9agO4SXC*Lmy#OQRX1>$JNy))DGn3 z_;Od3i2lUnGJV73n=IFwid1Wa5iV)AgiV&viqmZN&G!4LQWwMToQ4-7*GU}h&!D1@dY zP<1WFIuTKEvzw8-g9tw0=JHFWXB&M-(eN^ENT8}KQk+@hBEDKPcz7FkN^BgW4?6Vy z$x34eP87|T(#0-4e#DJ)*Xg9EXnKaW`&@b2I8{f{(81IagNZWTB?w|>>ui+lAdJ14 z4Wln8Yh@llp|#-W^q)W*!qU}BTs!gX{BV^$O!jvg5x@p+`O>o&8Jc1g;-*kEGh{Sr zOK>crYW@8sYW~dxwWJrrUA?cWu&g$OP@P7A-v^>T^r^hzB{psY!yoa>WrXj7E*3Pi z?q_wa4ju12gqn>F+eqo}Zosv@)@JW)!VWYD)CG~;gB%?p8^=xFMoqOs`BGXG%Gjm7 zjNUeili{*LT2~!31lXnOO#dia8*#(_9fNP63okhC4SJ-aqzEV$be}+IYmgsA=);6f zz}tUxj+5WL7ioy=|s&7ULgD7bk?!n*)9u;&V#SoD7_t@XdTtD1K};TM<2MKz{2B9sKw= zE;~I%#juTj5;{0=N3iR*@}c}6W1FzN zDbozGG|yzQgs8woGH1Vjyt(x?+Y|(6(VuvPE+DBBm|aYEVV-nfqr0_IlM+>>@zyh@ zTE|0VU?Fy6!Heq2K9tW_z-y$@jvq{so_OhYfn8-$YuZ0EXB`)9=FxC?i;|C z4S*q>(-HQJEEA)^p5WR4)|ObnCaFs&v{o?)%@B5?NV&u*|*@T>T_-|xBz{m@e>%CK)7I-o=3{#8 z$W4E!$0*UTNo{x3t8G4eXI+g|K%ZBX%XMgZaE<6T8|>Khhv^Z_kDG>y8jG1MJ-uEqU&}EKM}1WB6B0W#F9D zwy^xQJ$o3h?^A(J$37~CppCP%ifQ;7`3@k^Uu}I1f{9Jw7{uBa=oqO{FnE;`I%xyP z<_$}!SA|n+db&YcWf9|_PP>S+e2ZMgg%EJ*$`pY*RDQ?3u%SL-8Cif^J2`ZD6x<71 zw#34~A%wzepR5fGdxJN);2T`gY3uWBKMG|25e)1+lr>%-u#)J{+x;iyj}ks!~0Oe#m@}Jq=VO9OkN zD`g8B(kVM0ap^x&hn!AE9$h+}O^+pTJB|Zq#62rTJJmqwv_)$bM8Wya{ze0OG{+|oEiVTG=18q_(g7*|=h z zLMF9T52W^S)zASqLr@)`8Nn(Y`q`;rT=+}3A5Il>9=Mh?fhjI)C;5Ee=Sja{{y8B- zRhA0RBsWp99n%P$UF-@z$d161`jn&v@txBSJ~2++%8nqD;vJl^cVrr+c_}3iY1I*u z?4B%MT`)*3Fi(_}j>yfg=>EIl>2)A-(FwLBlQN&Xab;TOFdW3`;!dpm0$pLzWxQ(D zg+zsiTH@wRX6JN=`s&KF!UawI92BrIY!7-TEORY_r$#Ge3`n}FLH(`ouE;d?NMyv#8tuPFRwlImpb zz_MRt(*5$kD}cegZ{@Dq^dA}M7CAod@NbGV+t0Qnd(8W>sLXLeU~JZ9H5s7*_MrCs z4C33)9pMf3Z}JMU<|#E$50vecnSHxpE1(&+x_>dKf$!!pVm^~?9zb^HHF)9MhLR*8 z(lwK<@I7<2R(ZMp)|2J5G!G7gm0L9kX0=2Wh;=GpvxDw-`~TfzO6}!WetEh=QWc`+ zWnB^8c3|}nn7)mtlj+9o)SlGDf!qqdJg{B!wJIsavhgCYz2-bbg&q}DS=LiPh$hR2XzZF~znunw9{I{^wGti_+K}kCI%Q5ctOD-Ae z$2&P}iGF6pJ$ts3Zj%_{44ff1f6T2d#dig6VlDZ9DVr+&%`IQ3sG@Xz?Yp1(0QU;i zw)q>R^Eb45abfWn$kQurXUY+(U5Zn8fpIzP?P<9ng4p@N{!f zVLT<%7u*?1{%h)xE!14Tjv?q@+-6CyQ(9F@#cqcdA&5}?_LGARWRp_iH113dw5qbN z;KpcqieGed;s5Lq<1S{X`205eLTH1e4Q*HP4`&X*gL(BG!zEkAW))A?9ix$IyMrn^&=J338h?3NjaUEo_Ghov#?cB zzY?(X!=B^pQcd8Pa}1zRl_FKCKZViq*c2bVv$WrFXESaz_$- zcmf*L+T_nE{C!RA$LsPmx6^FI3W_>H)(0gkqwLqjbL$Y+9BG5sqF)5*jpT%>G6Hyw z$T)EGYrAguJdhZc_)#`?XS9AhVQZ$SU7on=;^ii7eh~E^}nX1s21J1 zeC?7HT}M`O5#@V_j_sumo+LF(J#OM@?vjncRA+(yX?Ct5Z`U%N#~f0GISgSnA|7o; z7*dZVj3Ve{6<*TyuNgGV+ltn+NfG4G;VGL{|0I1@uqku7tBbXrC)dYYi}d$3^__sS z*}L33md&S1H95aJexX?H$1gtHvHH7=TYf8fo(U-MGP?1+ZAO``oKkV_3#GxF5#W#I zp8`M1c&192Zijuh7NHmz?hbY<2vL1?RU_x#8Ugx|sOBx|z`(ot0_f-a7Px=m*V)+d(+BPKmf># zgKc8VG+tHa>V8PP{5s{ID^(BgVr+JqKb>s1(mB{$SIb|vu`;%bRBiS9CSdhQ8Zu|w&`|EXXryxXT0%T}+GfL@>RQ4e`G$Rp2+ccNC>w?7K z8JeRo^x2V+Z|gSY7M%y8Hl0tIz5TnUh1)iQ{EI>H_Uj#nsXgaPjT4H~G}B!WRE9ua z3&x(*5(%#0>HONBT8!jV^V41QsmUFSeW*-~bwShkHiKoQD!^(8ch9#8-M^-?Zo+Aw z@Xb>#b$L8-2LZ;EgNl=tcyM4)dt@LZfA~YHs&&@4h|!paj6@mQrh2#2R*U6mS-1=W z{eSDYXHjKzcCg=U4uAd)RCs&v-8YV7yM95q6bHV#a@Bbn5bOOstFof6iC*LV zDL(IP;78<;HOHUBUG&tnU``SC?zMubX>SZSQoxk?FO>E>H6)6I1_eQa$`UsA2qGqi z5Hi>~E1lp^V>L-qHv5l?B#*;RKipmG49p<9Mp=J`E;L<}1MUK&#kjZJZ&u8}0jvG< zu01!r)ipR5j<%W=^d`9h_6zZ|5C&tfQNp$EhTpy9(CJvstJ~u5k+rPI?4bvnqwNdt zF%#b#WvPsaOtAj`C;pF-Q@56|>HEp^njm_kCrl5*G-y9-q&WNu92!6emevnFX9b=? z-~ynQiD5@ne*kt4dYBmk8+`YIv}QU56&f-^*X742z*hi}2d)4MH24UXPExI=6pcb8~hY} zuKd6GuyOF6NgN(<3+=xrb(MtDz0%Fds%xg%hf{F!fABFi@JFkQ-o$2Jy^`2bN|M+tzC7Sk} zGQp-6JH2>bPTLNZ3;IqlRytJ9A0_2l^y7BWheY#^lAspI183V-HLCeZSic97><6y7 z{N<7tB6@@5JyYo5YGPpABmWwE@{&f=YLyN>iQcC<169d2?E@%;7hs-(_d)ZU+NN^N zvhp1b3|NeK`c=g5ELVEYB;X(cinY=IBMH_!-oGowAGawEX$y%a9i%wG;TM6kktZn# z*+c(t#%NO6zPWH(=dV1m<^@H707u3D@I78WgG*Y#B*pIZ71$U+Y<8h9-uA2EHQ~G& zJQ7i9tW_HVo%k0kz!?En;j0Fm`8rnM<-r7HW5;$GNyvoGJuT5EAI4uh$oa5Zc@d6` zM6WK`5?l~-j8xdJc-}tXZhnxvBQYpE+pk+zlIZ=27m7+_J!1jijNJ_0LfZ|s_z-sx zx$?_H{k|x1PK!1en-|t$d*QbO5m3zUer7BIL|Q{25Cvo|!+I%c*Ecp81|t$*Xj}2M zG&kAc?`+t9yn}xFw{@|;Ou2Ab`!r+ogYo$;laxdGPPIydt{@^yNhCkBlBqK+2rx9Z z?&25EQtM~{x=!&o+mH(zm%SDO+#ydUe)ji~?r-2{NXbYPLU}G{69>)Um*`vOf&ex> z^>YzAzO!b}%s?!vaz17(S$}AC8>Z#+-CEp`l-%i#o>(-D7NjemeLZ`5Vy7YSH>iFt zl?QBFwvB$;QjECRi7J@Fzc0ZOl47VmxN(o4kOZ3)zkOidxn1gXY!4=^$ee(ukyTEy zXEMa57|PjGSlg>TZ#CjUz$=X|3I~b{FmVCxFsjavS^Nl&GP5xEkG4@Cu33}MdmVX0jLXILbLb9RHo=#J#(#03M{ zGuPt7JQpG!g1qHtCgYfJjE`B>?fIiqMqq}@axz27zK!Ler;=iYB@MYE>zNjUyb-&v z)fMtBOgOteqW5aUkqK)kDteuik;MfaipnfQXpa@bpj?5$%M|rwm6^)ZgJ$2Se-G`+ z@f3Hzz75tR%LJ1da`g=QOlR8ORcAo)2u?b>C%)x76cw%K87K)dWm;8Nj~vuYVKN{< zp2a(eODzPz*c$(QbI-FJkQ|||=dOTU!Y^OnMe!aJDuG}B>uGhX-DX3n!m?xt0^3fv zb8~RYe^kp9B?pW0P`MGnfhMdQ_=Ekg+00`03Q!WB%p5V6m_HzaBqE)plz&=*(SpV7 zdrcaJi?DKGI#fuX__Z-pIg*4Y`mil*mNA6TR!5DP#VZ!E$8i8Z-@<04u@3`UWSYDn zDKE@$jbG1T{5V3FX}E1t#lwZk^cdoNw|%DsGR#%P z3ZWTZkiAbR4KP&&EcV~3Qk=pc?#fD6uIU952ix;6@BYrwpte59yt?MSI5!5*D!6rc z!f*Q zqAPsM(Ruxb;-T}0`i^tcqA7?u;zlq0;wk&qk%#>n|H`qNwGbR|N2YM4(KW<-rTwg8_C8ttf*ewk4}4q`C9w$+ z3yP|V_rSTFm)skOfMC*nWM01f zh<)rsVch%X1!a)KOybPY@#3QV>vsJGU#W%X!&dW1XpG&_D&lpT%R`_D3ilx|(lE9x z!cwd^$Hqh_*SQ&HIEu=+TL{#Pey;X`8HnN^B$AK=-<^M2 z6r%7q{o9L1M8O4xlY!*m5UecxQcU*UqPqdhU<|BR__mmHN9HAqj8=g~Q}PVBV+a%n zUB~NAqW%HwzClQ<-Zx$A+M*HxIKHk(OHJnzvn*2v=rYanlsGcfjoO+Q>y*MB{-Zvs zKg<{ZdV3BrhN2PoBE3M@T_L9KFJ6(B?ePEM!-F(@EqWNvm1U{#k1QRfSu(S+5~h}@ znvQ_`C}a!7Zk@!!h{S-Tc8S=2ZK+qR!*V^ZFoNEEim*f_Ws$^ao`!RS&u{0;=lS#YAIbX#>e7DlA0|tTYU1~3|AL<(gjtiW1RXg`ee+4pjS3xYyXSH;W1xO?-5#bX zD~r)&dz|-IBu%c}M|3{|!ePC^;DWP?&tgaVrOoB*8YVWyrF5t!!r%MzB~2%m3RCvMJTV@lsuQ-E#B$idM3N_B(Xk~w&zD!tE9lHZ1OqDFl7W;S(q;5`f}Hs#Tw zt3dpo2?inORdsdIYzOUxVc4Kg)PQGhXNL`Ad2!2-%&E@|Z1?BIe(Z!fEwLB)Doqw} z?^Bz@Cr~#%u@+N=6A6Q@d#77O`kfOL5Sd%ZP8!r|7U}}CCrAmG@BlKFey@w+alTB7 z>Zd!J_hDU)m@TU5d267SNbTNOsvD|aZQIEr@>>>JXBsthKFrnhv4pQ%p zBWw9+kpz*9i%1UFrHV*QWgodclGfcT?S9vU2`aFEF-)T?s!<<0a&z7dK^h1aj`T?| z_rFS9FKDV!PUGDgHqh1Ytgl3wRP(;z#ofeZ^{p6tF~|R6MPcK&Sfnp{fvd?NxAm%F z9xfYwvvi`6iuFMd=f`9PUrI!L)jEruYl>3wJPrn6mh4ZdV!C@gWnQ7{P|AeYo+s8) z&IRmH>0XbwxEsE+7SDjm`ntqvHe=6qrC&7}AK=45@y{cCqr6bt}KFpK9p<7s{_h#{K;4f(dwF`xi^kO%a*2w>X+^ucIl# z!9Ia$kG-y`g%U#ZG8tevueU~C{DYk_3WSF^e@54=?&>n#-;;t6u|*iQ_JL;IgI}PG zI-FYJCmdXF`VMc3xR_u}v-&E!=BLve`hx+M{-h_v6at&WhlpyGww9y<1~khb*xt9xa9S!o7I?&zwiaS7wfL7E46H%f zts^-5YERJGDnns!Y-s6yG0*+I{Tj15DJa1UNvgKNvvHf2@vbko_Y|LJbZ?-UvuTfz z+EU5rA3Ayb!6Y935bge6!ODvwH-m!w|0pYMxA42ip2R*qv6m}&{N&3w zA|p3@bGxFUR6(=%J8-TiBzIL($`WG_(9}j(RljSrZ4~(G_uh&V@BHgC#4!D8x1#rMKcd`fFRq7R_>mF$ zv%B?N{(>fHl&An6nvvhT$=rz(&Ob$dKkrPmKC)D*o`eIro^Qn7HF+9d6fG{{xDnh)}p0%^LlVYx`9}U)>ZP)cskK&lTjW@?K{M&e4cP6s> zTvjkOWqXj>?QGtV#Ps{&x^{`P_vn{c=bw6MBCTP2>rDF`4KHNUq!mbi_wO|%dh*xn zyKq&6{$nVm^{-~Y?M>$_Oo z*pl&%Aig*rluIKmouu`;JHu`BYQ34gKPR3&u@(As73%f1-AZIpc6=hb>B3rvXG#AJ z|1#OIwyW1l)7?KIeTDmWBP&CD2RkD@OAO$D*7{}`++1&|S*fA_6A++g5wUPEva`~2 zFrsD=H*)%7VDwo^l$u5I3-mGYuLXb+H!`p`1n|;ERwfRn)a;zRT+}SG)Ew0B-eEkj zc1cQ(byiZGCJG#C;BJurffEuvY;O7)={;t{`zU4xHguei&EFATaEU9~h$}>8qp{O1 z`DBVkmA(k^M^q@?c|%lBxq9Q&$L_oGcSh6WE7bUusL`p#Nm&L+tYG2uvf7&0v(eOA= zFv8|NVgDvT+GjrqH0!U<(XNE^;x&dv>5>v}pk3CmH@-ITbNCP-+-bd9O6noYg+TXX zj(Oc)(a?g);0GQ1SEdzLgr)aAI)|eys{KRweb^m?{p!qkFLQ!OUu!A`g#W}3{W~-y zvk}_S&x*wzPP5E5l|ZUS{?`t{c<4rrz}1qp>;?Z64=)d^C6i?%-MF{bP2!IWr&#T8 z-utBDRF`e%Dqabg2qoD@71RF$Ex!;VXzd`%*WCsV=&~S$lr=hHdD>FedT4)cUw&i4 zm_IkC`3W)AoStR#;9n}1x0sH{(C5bagEc*ulb<|49N5IPxvh-dvc=oG2bXQGp01|` zUQ(gnIZ_hg-n?uKVu_Xz@5`2^mX58^=*ACvoFEz?e3|;|61(m0_jFBc@XRIdaI7j) z)^jppFG>VD23%@%cSFYE1J5U&Qpi^Wp(6?L$=5?)?>tqirSH0lUV29uNQtvo<0%a8 z{<={|dP|KUA&k5&{A?2$zxh#RGj25k_7XCZ2wl)4TV1xLuLR!_#i@x2d@9mNqQ4gE z(&nN#rs2Nzi8 zN{U9gyhO)+p8p;1H_{j3neUXpscJ&rN9A;D5THm%u*pkDKk20+^k2@1O;=9m$^zVG{BvW}&YeMz!qEoBMWx9qzZCfnF&Vr<#QI)h<+pEG)Y zuHWzae*dWJddykxbDwjc^BgnxTo+)9ruh+~^5~Aa(B}`om84W_RlOB%T;2;;?{NL{ zrZ!aXsq7P34UU^lH#JpkZb;mId*izE^>zLX-WlFTo`hdYRt)a4`p;31TyAAuNAovp zX5Z1fb53CMijLrj!0S6kn%=qLy7#qrwT+5WO7uQ^KXFspD!6R&OC_SXL(|}!cFt?< zzoA2wVy`BYq_w3V`&76`ZBs5NU%A^EKKFQ5Gg5#cU@Ks$9r9hnTB~lvV?=31e?^M! zF({Yv_e=Y4l@Pn&%G*~XBQu^=KFfR-)9ZHiHs@#dL5k(SyJCmthaQJAuY_J{ylPsx zH7YSG_`PIwG2bVDYxLR3Fa=H=!N!#_bpT)paULs$!}dx~e~07wh}Ognl!tGe3%=iei6$c{m}p-N`!E zU`Qxfh*qfnZkGNvy-q{tij|r}J7-9S%Z#0Wcc=xEotE9OQpu9>p*8qRd!wrFl`8Y2b==LGkB?l&JAY!MwSLvB$;bzQJ@w#o2%B;zAp z?D=4E7dg?Yzvef7z`~NN`bjmaFUO~AXMcxnDW-0v&fRF$_?yecnkO}lE-$@|y<%a( z1PTU!hD_yz?vT6!+wV&X2wM}R32zB~$(WNZ?iubjq+<$E-vRp_HpjG}wGKt=A|xkj zM!k9wD9AhX?ZC>w_a_o3>}L$lOut!tQ}D36CGoAl!q;p{g;52Dp#C7mR`7LK6|)}P z`}!TaCE6vgcR|13{9gZzZ;NhEdgsp_OT$20LKDbp&ZK#1u=&kTvtL0;lqI~4ynVdb zC#g@Ke(}w@n#1%ZEyuLmyZd9eie<5dZkI{qa5z(kN4F&=2a`6J$8vagy3SR$RqnIY z>>)2k(I@KOU8G)m)BgVD&YS5sl`juQh(-uSV5L8&Qw{76z4=z9npf+zac_eulNv$| z`GD;eUedTxcPo(}{LE7gl_{G#m-#Y&Tf2o>n>I7=Fc0~yNu5@0DhqcTe5(;mksP1m zrme!5OG6N=0_})}RlqAEE57!nC$Aex+`MpE-1_lERC#^p{Rza#n~o>tCSsp3Nm>az zw^%_eURT8#${vkgnD&0c?7>OFk*`}?;-U)|M`dj{a9 zE=d2|s*oys$3TI~dv}HX>h9SXYsBjee)>|j7qDs=bv074Q&OVVDSs+_Qea%F)_x=R zyBfEu_e~bnVpYLsXvm^V(|%&VZlbCGlgbrM17P&e#UBfA$dk-PZJ;hbt z2&J}E{uP@H+{4%K!dzFgCaP4mT-D&3(S)(}i>j&>e~)K-Dlxihuwt9_+{v+epZb!u zt?^-G#CWk{=@DFMdtl2eo%pMmxX~Yhq=*_H*8~0NN6e zjiDxRKcM2Ik_qDo`zb7Aym2j4(r+%3kT|T{Sdv-K?7BYGa}+QGjl5`$tN;pp z$PVHEJ&1~d{(lBhZ68-)#?;fWaIm&~%_FSkVey*$iW0=#nMe51BZxPTA;2!eBQA2E z{LlEp|M!?m5+ExR{lAe_5+o@ic0u@swxZrWV6?SXH+Qz?5x6I8?`&>s4HbTEXAN=p z5w_AY^#QQE*gaP(o7?}`pSsvUp4bB(NlJ(V#$WQBYIy-Ls(UzF07J6q1>u+0P>6@S zr8Sg?G*Ul?I6>UCT+J=5$q-7Ks3j#N$0iVD?wadlX;cI z08WYj<9y)`vDC7D4J=&v#SIOMKd_y<>>J57+dytK5TMu?1 zfr|+FlcS~PbB|jPCr34e1Mwxqbf)Pl@!+UPJkXeccz}{`3Lp}9;sOg# z7LFqhh|9k6zxEu_TTBbhegQuSV^RUt$44IAM2ZD@zkuG7N_lh*X6(2rhCr-ZJ3}BO zU^Sc&gbbE|FGtDp0pU2&RnR(rb=`^YM%K=e$421MTil&q#8g&u%vMd{u|~7uOVgUF z`Q}6Jv8nl!U2Zh>@nlIB{`%O?4#Pe*aaaynLOAfLHpLtqX5d94?V+R3E?WnK*rFg`4jx%B3V@4iv=s^!V zBrGC!mQaD~Q>OlhQ=yJTqn$Bm*YFtr?-D@JxJlY>mGB5^)uERB}>}B{=(I*Aoz1(DcB@JtT&EB{t@XZ7s{1ui%YuFUK?KRb05`e@>9sNaKz$5&LKZy}w`%zoOO`yse9#rRp%l5bSY1Q`_s|<|LYUT^5O#TpQHU(A zR9xytg;#@8Ct+V49ab!vxoGNlM2InU9~Zthbpj~?sUEenOCh4vj!Iyd$`h}~T`9(~ zlUeQ)+N^bVWdHiRo-G#nsjYoUw8_09)H(|9ERUDlJN}LxHl?JCd%Io|up{|jQL%8c z=c=dh19ZSFFUZU&?U;Gh4}Vywfi9N6OGs|?s)y+ZnnJqk;GtOlafIXrF7{_fop}U7 z{qCfqY<2u2+xmd&vf0M0xV?4fBi(cJ#DEV3xs~A%M&(qU+|nqin&9brP+8Saz=k#dJzlpJcAHdL#Il+=W3yzEiNu;f zJh7v%tY$&&N*>spotc_eok-x$>}h7yV9othg{A6Jb*M{Kn>TS7#awC z!ghS!aEi(42`&uLk##L=wnd|%`EV2QBJh!%)&YF~qVUTk`C01^{-MeK-fe{06C#Ok zB5O0!8HPG3pHr(w4>sd{!8M^LUDz}~;9ChHc&~tYujQIK$hwAi@fy~5a&y7IjUaH6 z;ZoOpGHbY1(`Bp2%u73S$k+V1`D&nJ!!JpAvi$6E2KNEyVe!5p#&9h*1^6Ae%axEV z3m87jn_4Y!4DzZ;d~&XI!y&K~7Uz&v-b~n2TJt$z8d%fJi-}*O8E#f2d^|MSZ=3}i zalw@6{h|(U?=^11+F`ZM9kv<|O9F0#wr(?=jBEou)=o`tAsTx7%zIiZuvvUknSGY~ zj^>oI+_xr{0LVV`@VELIMwWFlF%&tyhM8oNi0jAQhOHKR<;zP3wlSjT^qRS3&%}Fh zNLZEgJE45HZ4UY|Y8$t739b?=$=KVF>IR>NU+tk&xDckV#b_;*lh2NKf?RcZbNIMZ z)=Tu=W`Nvh5&<@sZ51GXJS2;o5OXECe~+j6`MoYZ5IiApqeyH|MeLwu0rRkxv<1mH z$%FCfvCL8ocm!JjNkYq_+DqS;@jnk_Scl=bD!c4=1Ym8MSo3jJJpUgOk8`_o7+z$Z zay+blHtG;u_(>s9{vLb#VS_}QLny!ZPaNefE znGofjunu#Wa-F(a7pv*^QpkU1prZT&ZMz1rS74T<_}>SJ}^R{PFAlRE!%Lgpl( z$}Wmxy|FvZZz+|jnIdz|S!?p1G7mBLNY{T}%^py8z|<9!HSYYI5HC3j+bSPb@C!{0 zsdG~7e6jmS4JrApxUV=4*9-AX z;+m-r4Z+gfd$#JnnzuIx$`+bT8$vE1yVH!+cku0KP*FGJnPIY_eDPA2xuRj^sh!&K zZP1$6fbg=KJs^isb2+&7n|YlKa>VgR7k9$9ZZzMvpBXwNhB$Vo={LD-6A7tV<_GvB zK)140XI`en{&7$JMtr5y)5UFmI4kg#&z)`lX%zFivFeGyG4=5*9N{XpK2?t-wvte# zO(lP}_$lPKjUqA)>(Vb6JD&U@1`}N;u1sXUK{{a#2-JA)-7t2D!xNIH$H4@K!}fK) zVmysq6zmV=E}{<4BwJoqj&@QB?(=`@In$kpA(+@Lie|@k?&-j$9T&f-l!8&O zVv>$Yi}95t$vG|zb->spAU?m=V#6~PK4=Cb!)&2kx*;dFxBqjX@|{NZ8V##PwbzWL zn_SK9@h}O-8SH##KsVuBr41m{UQ2z*XXC zCk;qUygw!58uy+A+7*8TN5lSjU8Tfcx1p}8`WlwVm6F4Q$p*I)9y<#CHUCDvC}1~P zQw#Ncfv&=dY`k68%!^AylLMB-rQ^%vJ7S%X%zDdj-q?`=!!ahq$`Hmx`s2`X}a6@xPD;8Pq${{!Lo}t1>e&ZbO7~yJ1L! zN##0*9C37Vz#-FbZUaYq?ghDMWV)PZU{_*o-k+4a;swH~=46j`JE-O9yl;O|v6IL(drIyw77#not%!vq1m`6Zhj zk8wQBGDC4yWt=;=Qr7eqQ=a&cvOyt!a54-UGlF~wgiF2>`9aR$P~>nv6MN?Pb5+vr z;80j|VUb;bnR{ZQf$E{%-}dDMYE(Pp|A>S9U}<}ehk@QX6R;7^;xPiiflf5>qbic9 z!6D^({aO8oWO9!GY;~k0O&O9rfwlSF5jwQwr^FijLiHQD|JSOlTKSKwKN@x$5RFApZclBE<&owwnAz*Tfc*6Q5Lc7U?oflW;rd9ofx9`s*sEX zD%??)Hb1_Pp7L^uJ8cbTmM(FG!A`v{36s3G>Rv^5)7k`4UMi@oZ%DTCDDDx`x$}-A zR+QxBvZf&VYg!FHMO|m=xo@`6P(!u$Rp0~XhVxuG@m=xZTveMw?%!&F(AoTPWG%b=}!LYd@+2Yps!m(@9~gRVC%3YRJx5mOjlx4w)k=H z(8={pLL=ho*F+U~>SRkz3s*F9>Bi8r8;j5TZF%@`W|eaM@jASswhk0%3#0gN3uOB# zpsJcwC;Ov1KGi<35@3Td-s3PI@85RpZ3QeH@Gu1mPNO3Y5k-@h_lKk|Lx0%j1WvIu zDd(oZqDiI)_U>jK%guItH&_>Cv*(BiFY4Rz#4`EmA|$x=1|&I%#|$Jj6Ap$L?-O2? zDYC=7ytJftAMPZMmj+hekuJ1h*WZu%vPVKs2E3Y29?BJ-f+x(lk^%nmgkpsKSGOCy zaqH~t9^2T~_p zlN(yPuOppw3?Ap6RXbGw;A~!lVbjYS0~8E2QY)3E5*7?fMo$sa5zP+=FE&g&iUT5p zh2Z5i8p}9oVZ1@itJsC<#y{YdvxTrzb2GF^16&9r)a2CKX6K@tSzf#i+@}s>C$)az z!%~C?0p%z@nMxJDF~!WhM#CPh1tW3)H|S4jn4~u`&+=KXVq1S6oL)C&k@U&kCOL3HjL5YQ#VT6gtoGV3P3)Ld~&9e$8M zF5&mbYd`aDjAt%zXdVHBb8y_Q0SW!!(p#Hg`crhOuFkg$GSSX_!(fY}jw?c86ItL)o2`NO zA0U+v8@Gde&dTjCIvXCgMPwpRX|uakWK#>;{g1U(s|E0wvMQjY!3?l4PIn@A#!;bo?2d2>|DX04ihvWsd}IjG4>&?(9BUC9Ur1k9Kcv!!oW>awvjoTL#{w+C~~S>zasYTw-AwY_tG> z|39e@Iz`H-OXa!8Y@ zht6wkGKO6Wi#WIAvd;<9I5*a#IVTeDF8&KW50O>FoG_%ZI;azYT>Zoa1QCKCpe)&9<*Vh*Q!Jt_eF#a%wDd!|&G#E%B zspmH?QQ7{r)fQSlHi>9|(!2JxxW1opmEm;xJQs1wO&Ya3PFGHs8PfX8)-Y4v5*$fr zyc`zsapITvStR#At*lu=2Taq%5_5XLXY!AWNHK~`%4n+Q&yG}#;UGmRq>eF)&$GUY z9D;`_?8oM2nWKElB)dnsaUx1ZW|jX))H#ief~-RBAIT2F4wu3kpPnKt!&tDS_@y+k z`_ICqg*jK=Z}rMJ>NOXK_#C)J?!u=Od>x}B55TJrzyE|8>8q3}=13-8FLxDdr7{vk zc1V$kmGH93dM-EhV&zz|sMOG&ZQVJI%`K}a4r^u*UA(wI-Ic0Mxy#bMcWu~s`($dt zXRZw~laRrW@A|KsH8!>K!DKZ?uh{Kq*KF*`HV$m1WY4eD1l;kF3EE(?lqBgYtMe<8 z$Q)-Fw$MoJeE!(U_pcJ{tb36Vj^u<<^3>)naQ7siGC&JHmc&A<%jjh`9OeZoQtV4l z7R7IMamqLtkYU|D+np6WP0vtukEV_2u-Qp}b28XmI_H!bpf(RnoHq;58^PD25!R8y-ye|<FCcXlEZV@p3Ud|sqeRH5JkF;Bp*%@M- zx+6CBWN3c$=4gR%E=veEzKWqNwD*}cgfDB-`v1;!?O5UM&U_hHaK3joI{zI7RvR%6 z+!K6NLE3bvhCkisa+0M+LAUm~1=+7hG^iYdwcC3sk=fJhgeTqamN&}sMlA0Hxl1AB z=Qx0OGQV+YF@CJ~MlLFH7A!}CRq6wTB>m9DtI#|m&gLozMA zKOTKHwUrt644lg=fZs2$ggw$(!H}I{Oyg^&RO$pa*7v#M6K02l#{6wfw>S=xy?F7X zqCTk|C+!##1g?`D2?Rn@dsvkYTBT8@0lckilis>k`nbN6w9N4F*XO60MDDndUFVhH zKOB#!5CM}kcN)!Ba)H#N3t^`Ysg1m<QiVljh4FwT_lSsg6RXn!yLQuer|O6m5Ug_H@t+ygd1lI`6i~pN9AM9LlWScu3NjJ zE8}IW70QL~zz@cJ+5v)Pczy*R{H!8Z~${_?|+9Ew4>w}IG~$xIn1+cP=>+qNot6fe|Z~) za+-TgU9w}HC7$05uNft=08q=s8J+c$vpZv7M&3>mETcuYtxsDj-|oEf*h$UryAW=# zYFzV~XeUv&YgyaE;d=G^o7|eTpS#t$AH#>)TeIHtoh^DAoB!@Np8_D$9^Mis4Scyr z@v~wOpf6NKpEU-eeKn1jM10(=Y(0agksDY)Hb`xM9uy;Ks$cb*z`2?`t(wU5ob?i) z0i-p0%A++z^QqSPm*;nEv%D-sG|ezG_>t!3owjQOlO^KBREBUAHm}P8vYL3g|K{Y$ z@(@?!&7X|L)JhU{33+=3T#e#CPwXB==)^7>1;6g=7|1|{-7rwS&xd@W^}3@e4Hb4D zCndq?$Uj}T?WC~&m<`5}7A`)b!K!Kc8Gk(n9NRB%@YEv4lCkXF(Pp@@SR;ddk=tF~ z>U)0Q$8Qc3-gmKe^IEJbz|^B3R7++S_a65Y)pP)_@h)`X(>25L_io2<#1~zFu0*e#6d1araN~Ic0rmJn#!{W7(mpIKQi%Ct;MtW+Ra{@DkBB zI@granIP+hZY^#fe4tb9yK-k>!G;6}fO?c#+=zx6WjFG7VJKvLU@!;aMUz;Z68N0z z+?O#VZo~xMI4!>y!!gY2hTQCWDgq0N`}UOuDvUUan_=|kjEAL~^as{&^c3;UnwRiT zjWzKY&@LGpGW-rexNX_K#03nv{U>(lL&0vP=<*Hs-}({!Azi?K=UE>v<^V$#p=&N5Rm_R(>z z(JMnoz?D})m#^J)7x~GB>o2z4pX{zCxcRNJj#KXq7)knJ)5RxUin{~(#W;(TpWaQ> zYri{J{dp>s_a^sWkj`xjxqwl#>Ltw8gf%bq4)t}u%c?h##GYpnoUuY3k%;GOUKU;h zpv^{`q8imTSEmK3`GDpzH>KQRB?Kf(Iy0Y_h#QjpS*`0W?famyG?B%`qr56$;y^}Y zO@I^aOIdxv70i{@!&VvaeXDmX+Iw&22zTv;LgAiPjA<+c&gMtg9Xe6!xLT9M?#~y{ z-e{jn3(h+kpin9~*2W}bWNhcL?bUc;`VPnS8n$K*bU1qI^{nwKY$)ikxC_)Rb67Pz zJcn0sZkvn~&y+@i5`0XF*P51Y)N(ueL67({y&A&kY$u&`_M2|67V&#tt=zx2b)wv- z0uXbu7!n9L^~e{3U-ul-6vwerO0Bp;`HNXZRGZwO>4| z#g$g!?3Et17XLZgoa*hRFvZa0&RX$Y9Q3-<^$YOj_QwQflc-w!j!Roa#k2_ui*K?f zTpWu`U@XoO3{KHBi`5;kLA=?kL?UE@@8pOWW=h0MEbjjbU*8q?q4@P5^Z~%c(`$`} z%52nv^Asa5htho1Z?-*&X#2$-apn5+>z8=#^`5on)sA~<^C{A_pF6ARXAAtrD*uZX zpW=C~^C1VxW0$KWSqf*}ybdDeynS<=q}1bla>t5FZ{Q!P6|p%6z{-vZ`^I}MOaV<+ zZ^sMEz5ySndTWq}<~|OchAQjCS*qUd`uKS5pjss@W!AW6{AHx*LJJ4O8HShIf7cXO=g#Vyf_79NDlI4m5bC@%K#Dg5rZZ%s(H=rTN7Mmbb0B9)Tr z02#U7lU8V8C6JJ!Z}uK7i?LqzQ>#%VQ(1%^O;;OW8>)+BU1GLg7`3i~uWZ+PZ`d%i zzHWo+dle`~iWGBNUx}cuZ&z8+U~I zH#RMX!PQrHod|zIE5^hhBsx3?Kf$(SENOCoQMTn4g}0xyG*P}FF z>|&#{*_HN$SgDu?^yGtnkP~sSlu$rMsrs#bU%Z}lH7XVsvrVD(njKLy`w@Kd9#QHy zZznJhu6EJ^>tjcL(R$kZl~P(5f_6lRD#wtBID}=ay811_FJl#cxO-(uLtnIh{j%yz zX%7~tW(d6TATj+p(um1VrXgnOg-uue;%$Aqr^y(M{bou4S$uT~22wf2EnPTp7KJ zi#CfAkcMAEj%(1@7g%T|85@VqETGRvY8?j)06`ni5j$s(pUPIs(gw%wnfS({<9gxc zE&UZ-$FKeMEt`qV+IED=c5Jm?GoIH+xSxH@Kvocz+Hbc0)*D^=VFsf=ZaAL4nu0Wt zDCwkMV?*?s*z9mCKWj6v5mi!RANT2)NMc6x8rZnm+*#9tfF=wu`g(?X>5h5G0PJ(t zoIQYOVgu5HS*VxI-M5aiwHB_B9(!5Su1~vB<*kDgOH&wVzpSFJ4j*ukrF}|kuP`u$ zi*Q04b{fhGK25ExV{J!io)-2SQh#??eDC6%{-AGw!I!64~>F+lN{!(40wpSDtJ=}m56$dH@fawQrweN z?akuL@>2`>%kJ2U@>#4Gz&Ddw8u#{ETgTsg|7@Y6IB9&y;&a%gPCU)TQ2^rmujd!P z$qaMf4}ADB0&c?}I+XD@%kejE@kfNmruxOtu+Q@2etZzOmc|U$UI!cLa51N(IclAq zB>7vR<)8Fp%TjFjiwv`Q?fFQM{>#NnH&;Hrwh$;xU8su$mp&@BWHyZWTx63JEI@Be zTUt9>e7U3h7Zz5&Ga4r-(!%PeGI|q?@!x@6Y6d@t215l ziXnw4uW#U~|8nYQZpl_#yzy5C0)=y;*fje*wn$84#y*2ppIHt#NRufUR~(u%wns?x zB<^|~)OQmLnX#m`b~&Ue5A7doK6*2Qkj@h9oYLNbC11yH1wwT;Y~>i6HJPGg9Usu;3} z3N-gH_xUl(9vmx(t^dANLJCtqb$Jb+r&jeoiw;XtFoVfpE0X6$XHjP}DZCQcf!4aE zesgi+yU}+GW_xe1&0k%e7b3o!dAFV_tXEU=6y8vgfH9rucj{h7NWu<7B}~`tx6sP4 zops{sretcJkBpv--zy5QUzPj1hZUT}`-fVS6?7t#J4`xCUhk_I9|K|dZ-%iSO(l0Mj^(<$rkTRv}1`(etZP~4o+P@q` zPoB?U1!AkPC~!B}PMNi&M^i*J1lLKGnp3)WMpe;5*X?HLP^R;LKZBzX539YhGFaMR5k}3N?;8T+H1hOzA7@R$eBmeB46paeA+~>Lrv%25%USq<&#J&&NoU!X@%cdih;<#$t@L|MLgy z+P&Mg2goZszOxd8(-mI?K+1IORJ~5`_vTjHSgSzF{;hJY;lqyX`+ zzJGF0rZ47YYEGy*MXNxQ#-t9+b*N61xFz&S+KMK5239$aWodgaUx9g%Xn!MeER zh+{BVON?2qECyXIr<~NqWj-x zl%;j-VUYh>c{6^Le@M>1BsMGVU!stDI+~KxWR}&!ko+z>Z{Kh66ux;%|0GQ_g!|5E zzROP-9q&=xQIZG>7mn2ULtT^r7rf(lKPX>#oIf>i`#@pj(&{;KDV)s9jnCbG!52=p zx9^^8>bF!+!=?b#1yi(sG-O!uncNBgKf7cKTu3AU=j;l?d|3Wlt zwxa6u{XL1fq6lyXAD?Y2a^ghHdj#dnj|-<#q@|T`Ul&G`8IRm93X&+J^ps#XNtcwgW)u9E!;ZGV|X z#4qHZtP}n`*Dm8JX>xN1g^1n@Q7V>OsZx8a!!mnd^UA;VV(hlT#SDX$yPj-Ht@N^e z_Stf;bCMoJWhD7XK{E2A#|uU?US&`z`^3|&I@G=@&{R!-l^&|;`sC&G=ds(l0~UGK zTmxS2nW+;cSF~))h963!)vSUWuo)`PMLn2hgg`!A)S{lNWZIwn8U4oCT9%)h&jBS= z%Emma?+mLSbav=>+PjXt;}r6-$rV+}=v41}o_QSOc#fMbc;umzKy;8~1EImOQdEVm zBeeHW?(8O_Qjz3JgwZ zN13eax*H@()^*EiOPQ0Bp0{H7k*GB_@6Byo736LGV?lgJRA*YMqWE`XAFLN9)As}T zlfHHu|J00$-p-F{Esb(zP}I-Q$D(q;^-pB5!Udn2XTy&qtO0K(;yQuo>8(GZvWPmw z#(cD>vry2Z^XhAkxy&CZcze{{sTKak*KxY+$D~R@k|nJT^C(gP#Xy~N|K<0E@t{;i zaH%cPi#hQh(WC1xg_Wk@QipqIQ0b(zU1>>_lY34QuwCcBtHm{nS}-`1QTU+${HW6O z#hLtXfKrRsap;4y%&)xIsz`gOx85-=tFGeV5U~(RsUR+V(RQxo*B>Pz^1kLf;_Fy# z8iC^g$d>%YZ}*Bm(hq#P?@&PUCakKVmwiP2qqz8*Gln6{%WY0$bxZ1E1w-?3TIw1=U>S?A>te|L2utlRq zCwy%(rDMf+I(6bE{rA1`$Wo3jMHs4gS}GrDDQIJYRK6mEgTJQ#-ahV@np_pBkKn3t zlK2N_%52$|TG*&N%{$#(nUM+3$CqRR?@*7Luhl|Kn9G*^%b_ngyJFjy(FqxD8F*!> zab?0VeF&P1#opv2M)ZogusJ5%;Jr}9pu9_&_wCSYDi|~FV}kzIn&KZ=Fj|i1XFmON zOt$YwFfD|u$>jbmJG8U_mr!Q^^k&2z&T*L$seCSLL|a+_A;H6BK8THaG-plU)!l;9 zJ#ND6pPVoF@hU@p>nUqc!tgb#43;VZz)67BdpL?cP4ZYexjW402tyijpV^fk4x~7Oyy(^3V|$63_|)^#FwUi!H!>@hUz|*CApr@~XM? zG`}r3bH&?d)~$d=72qBSV^24qE$ zgA3%Ov`0giESZ`m=Uw9qR83rQ%7H!fx5V7M4;h{BJE*!ON3l2YFqLz8x!GVVuHsA? zhv6li$5}G5`D#cN;9Yj$%;YMe3(#0A|NB+DuZ$9u^n!tcy`&>EgYp_d{GBGB_EAl?LlO^sn5&>Aak!;LOJx@R%!0%r0-Yu9obWTU~_}3I4JANc>Z4@4%Q7NzE zz=rQg>nz-ypDpC^RH5Ymb%%^^@;8-I0r&QytV%3)fiJtI8n1C^L&|kQ{4R|nBlCRN zE(Jj2)%0C13xn{;!^GefHJrm@Pt9y*N8Q#bEpyu6*m*wXo7;;9{f1A{?o*E)lY4k2 zwWad`rELi&8+~yK7Q3coXwx*=^|d+$D}N|$cob;l@~5$Sw-%kEbFl!_)$F=y4roz4*;m7|INg=w58 z5$y4IIuDo8>h%+xtC07m`h?y%p@V`9xHqVCB*^Kh9`@ntfz=Y<6((9{Rhurtqt)3; z%bXOT?rByJauu3$52K?cwVn(0Bpul_3_frhBEbnJ$x6w)s*|N_s7bM@CRa-865cUF|Om`$E(?$Y`H&AYtlJPO{PT)rqdQTXSJ=|?M7Un$MuT2cbq z(9h_Ep>ax`NnNLDyv!^uxbYY$79b&2>A@>Io*NO8QM#h+n|4)n7#7dat+j{BC!;`8 z|Gm=3$(WHolLmmVUba)`t1L&0K4>-mGNII0&MfVWe8rb{YQ0|TAflouBOS=&JF*dt zA!G0OU%N*FT0voQZgb2_z3kGRK%JDPH(x$E)R-?JH!fZ&>0|W;L2QK!hxTgORlos3 zCqFkUCE_P(QggD9_!E&Qgf-eAQ$c}XhPcM#$RlxRsbPtM=+0QvBcBdiyDM6NsDiXc z=%kq!0r`_Bk{s$YH6R}yD{lS-L2`=1sU#{pVSMQTi_VhOF z`+yW?hMa#kRMQ33osHOkDZCV2KEvPiW#aZN=DSJoi?vyvvb?L4WUXz!Im5 zTma~go>!+p{{Lm_l z0%HE$J<&#rV{TY1ka9Qqz_G;HRmloyTR=Z|Wgd83M4iY$&T^6>7W{*`jgEmf%$+O3;d)qOZjF7nP@|uhraFQ>=x*YG0UQZ_usb5>0V2SLofZQkcZR%>&H8r z>?v{MjDzGZ|4!08y(Y&01ONK*nnX&# z#~nU0YL@m`yV3v|D4-^_?g{w;`VP{G{FyxpPdBlou1-2zGj~nwP4OM-WzR@Z9J;JD z1da1ZQu;?^5|>EaD>CFi&EH+R#G)^eDmO{!Lis&xm17?Wl}O5Fhs6q^oGN+!Zs0!N zBHg0%eKP?XTZy(;f$^2pfo%;F6%09AowD6EfF68~h2O@6PbUHB5M&~3VTv`vi(LFE zbZhzl$y(ST^GO}H&ApZp7oHKEL2AYpHXV&@(Dc9SBQHs*T=f=N&(}Uk=Ce_f9k?Z{ zVbziPk1@sq6Y+D5+{5Q2`I;I$0I$C#>6Pd)R-9qU{$|O`2jmplK)^(P1ZCa4k|=Nx z0T$Mc-f%Xw#keP0klMdMn9pwN&YF@aX-xgtZrq2zR#PudE}hcp*v4hU4d9n^nSjC6 zM#;|tCt04vrS%+Geb2S6)sAN-8RT})IPg=`)I83xke!^Tu0w%&oc5+EblT+HOQCxc zwZw(#CQm{4b|#QHYxn5qD+EsuTw57x%cSYkvsiA5v&yn#kPO}?44ahS^z)Z=TmlBg zDdT&>IO7X-+@6O4`<6ByC%p=!#!+!5{dbeikGH@$M#@4))1JQBAE8|eWoBhJioCo% z2R~qYcD3mvfo=if3*cD|n5S`BB#)sJEun+x4hIX8a*Zcn+{9OPW&(1;`-!g1O>Qs1 zy_ua(Ej2@ige-LLtqz4f0hk1IMJH}49Ml3dR!!X9hQDDoMIg*YWejPa1c=lQ=jY(2 z|0dDHhl5C2%_X3e08Ph>BV{kW{GltSdO&kHCc|`NV7LT&op~c?G1JxA2h^Rw>66M> z!{x4&wZ?G;=$>u9dFwaJeuNdNlILccRd8zFJ7M4;Ah%fs$1a~w1LPQhDrUN#CT(^$ zuEYdG@rP=}rMkr`^XKk!4c1GUz@&D*FN4awVw$4w)yC-<>ADG@tdD__XFo5?MUM{p zDRScx1^sDyRM*asK_=x(ls&puFZO^mUMlJhB-{17Pt~Z?XsVJ^fA%Q7eRUCS&&5KjVp5# zZ)1tTlMefvsKHUWHc}5{OsX&KlE#DrR|=CJmq2p?Y3+%lL_u=5)Enr_AIH(v{&XW1 z8a%qTrZapml+4L!)WKwf`ZQKcYMlX~IjOyc!h8?U?3@z^pg^Z;?Xui5zXJzai2-BM zj^McSTl!ZUK+cjY6p~Uu+x4?cfn+{C9hHNM3(8oEAwN|uRyZTR75t6xlYo+*t2&&_ z!bZ36Wu5XS)ze8(`LDfl;kZJslIejvdg~3cgTNULY;fySVPyy7GVR;X|D`BiFFGE0 z2mwZ-)N5P#o3MTX?V(~aD~Qh}$0({19uA_er!2hL`pcXSV(&OF%uY>M4!qZ_(o*|L zCd?(>*;w;&F7$=0fh?`MuWmUm?m-wZGy*9p_4hTt@h`}I1y0IW=Jef@F$qhv8z}OV zla2ZeGQfFkF+BYNSvF1DgYR#loi^Hz<4PPeA^^G)h7a3G)8Z#T<&>h$FS0uOBM(?Gx#-s9N*`+~14j|*xVN(D5W@H)(21A-59<2)3x@o!CTo!ChDDP1 z|7l|Bkz7Vg4Qon|+fsNkyLTbFYr@%`@lxXB()pw&>-ncJ-v*56_4*esNv`xVdEnXd zuHIdmRUcl91)5h=Itj%2pDTObRGOgoB3hKZwdTV3a8x3P%zyr6U z-p2ip9ecNd!HisoV7b*Y9Ey)(V45_jm`i6Bu{yly1TLTla_Y#Yh3`Qe{7s-O^@GC_ zAjMi3F8X*hfww2%rvkQ z2{H(Z3MfeKpJ|e;6Fse+jZzhN$AdJdY0{D2=H3+1v*=Qr(d2g8(TrVEFcGkZe@!b~ zBi%?T4!D~fFxaZt4DV8?P*h4MkEK92vVd6s1BWm@xsRol;tm(Y>2ZT6MzzhzMJb=y z4#=YDt5y+UUM5X~KKg%PgGy^xzLTGRW}j+TKb&oebA16!kni}pS04oAGQ2_nJ%QA{ z3)l-0QprG50A|*pgg&p!%`v+i@mjX@-+`GnRja1D)@Cgks5c0639y?EWo&w`GX4wM zdZl`okvjwxwUu$<87Wda0aSG(4xeG$(=$~4u)F5|0^U=a+yj96V@I|(8UZy9JZIQY z)Fwlx6;e)foWSm4S;o086VIN{v6d4kLtBSgvJ4D9-hSucpT9IrRvwfvK(YEMUux=~ zsiTfx*4nKQ4pP|z1ME~TSUBvs40zjyTqEnSOawVy$(cO+bq?!>8nt)T z1Mz@7;!3S{{aT=qp_L&&y1f_>wyH!va*~KF00u$UDHy)8Zt5p*R{s?((hQm9oS1}= zDg2^KCZ{4$ZTiG(z;Fz_u>+i#^#Ngso;RnW{|`}D84%U;wN(Tx;3r6ziUQIhB?6*^ z1&Go}%hD~mgn-g1f+D42&<#r?EiKY4>`F^6-SN)eyZqm8J3Db^&YU^%%-osyuIjvp z0eW7hS-B=VbK>@n0)?n6WY}pWV1RF<6j!_(`01*(d z2_OqoPmdImgjPd4Nn%G_$)>6b-i`68Rw!^fJrn)IqH1nuqEO~{RWv@ldBaf^IV37J z$-w}HE%DF9j2FxXtD~QRSp1yIt?K>1d@d2{j(EvjzSfDYVclc^k_x9M{XKk;IUnI% zAh#mnTd9AmeIdtFM0gw>@7nDBny@^+IDZMaKl2HS=RB&1GdGf=FTw)9JZU3~>P(ym z$`~*H7Y#VFeSzDJ5AP;l{)xz{z=}gafTK5eogcYOoh&}y%yQj6pmf>h5FT%@g|%D_ z|IY{kBin)Fh2ar3<)=W<;n&1x+g{IyWO)({lLMo+_Dw9*0pM4CAZw_46g_~0l&euy z+m@JD_5dMz(I2mywoTLhO-On#v^>;It#*R~?|6ELOsvVbcD$v4WjhcXzg6T6iFO`l z*1b%)fG5d#)UWTYecaZ6NZ+)n5l(h;?g;-vmMks4tOc+L@K|J5iCOh1EBD86V?3n6 zDQ44?&ddGxD>C&1h;ssmelBsNrn7`shrqT5K++0*M}>7%)UMA$@?E`S9rcnWy6aF% z@^`n7Gn0@Mi&aTHtxdN$WPny1y38~VYjYBvo2zVKMIb(_JGFnG3PF0ja(Pot^Gg&J z5(x$>&z(8d>eCH#KJa4+2!6vDxZMRIww zxJbm-h^LS^iL8C#N#qn|3C>zD<5P{&e=|6)2Y9eEsz35P5;^0Adi)gc2^11#Jy}$h z&4^LM`?U){QOtA;QC-&8)B(CF{G)p8@S*f@XZX_DKk^IIH){g zOUJ{q%H+9pD2-l!D=6*~lw9Vw&UXD&@^A_d+9uFDVjFiFc1D_HSIk#;^l{NH%Ho|{5Z2mGUYR-gmen#J#Hn~uW9C_~WpN*`aD;MCVc0>wg31_FOstuQSYae(FKA~p2mKblXB$yq!yA7EEE#+xa0RvBd&b};BxxXV zxLndN7f|{1F~m?unP_Lbnwz(jWa|Nj&`zL7XEaJC+9P2{CtFK=DtY2N$_=fJ7l>cHPa~wJ506($U}EKxH{ut;@%ts!gHojSgQS0w)r{0;UFHWX zf62++81){C6m+B{caS=S1dX*c8+S_uCwf3p_D2cll(uG@CKxjMb*mfWn#g54i3dpq z83$E61e;djECi8wey|CO^$I>V-|a|Gz3LuS3}H}jIP?@Y>-Z*nL4*J~5a=KJiivN) zyC!&~^@lBXoSEHN3V2#Tp*LEe*!vtQ%r$irg2>{ZZMnZ3DgRT(f#Ctlo|#(IH39EK zORXSQxJt!uS7R0GnMVm`=hx!xzL4Q0I6^A@*LI~^!1vjeSSVmZ5V<|WGE*Lx^rAKE z-CTt2QNW0IGrd?29RBAe(x$GLp;_o1zkk5Hg{_|*ll%U(BuIaN;&B8~ns!CwLmwb! zk=a2*C(aZqPWc0v6dwjn_NP`mM*>NLLNfXn?zhyG>bUf-QdZIq;A~lHm_x@o!6^6~|CMv8ZR!rV9 z7Mx`rgN19ynXAOv2azNw^Cd!?0(Bk^W`JJNJHov`Nf?X$9~5pV4c^hlLTNZw1c&M+T%J05K$;{r%1fl)bb93x4>=|=L+>hfG#!SeN5o8riw(in-QX_ z(;TA$REi_gb@(73pbDEgGc3;MVNAu|Q6j;tcZ^_V8Bh3c@>-G*Ci-HE_-9)Bl~z2i z1RQUQkvvZj`w*luEn%rgAz=j+9sl8+rQ;4Q2a%HK1Pf{mRZ<4^6li>~5u zj11t!WU97jGcfj=<+|G%rq}G7K*UYJlw`&qYbMjfb}=s*OFdakpKnkC*;f!Y;}lvL zHQ>bvP+^BQDqR-saDOjRfge6rdpq1tb6^dUGQ{I!FR=T${GC6tOzc4TCbVw~fY~Q2 zCy~3LI=sW$l`XZT2KtEKHEjvjs}ke_fIXBLOBw6b9fu2Q;RO1&FLGo7)D92KfyJsK zJQ2~~NkHu+7H499+<=T4U{Z6ARMrSQ4S6in-HJ;H;D6w48e281T4M%;RW~dc?reFF zi++ItvHrD(9*8P3vn$7KBqV4iT7z9TP|Zjx@vMPEj3Ko4&nkD0EV68!&>+~%b*^JL`mE1{4K^b z(2_0E&siUf`vVCVB4Fg|)B)$97}%nR#KK!J2Zizh04E-YNo zVraH|042u{w2CUeTG)kLgy5LgyS~M6H^qR103hPj>Z1M2YeTc-#QKh}vZY-tHv$A0wZjhx%ppAuG)S&rd2Uaas)?LFJQ(azH1%wt8L z>Fzxev;~N@2;Ch8W z$X&44RX;XGqq6#mB!&JE5DvJjyU-#ZPzf#T(^F9?ZjMZS1Sd8}jQ{!4J1fEls+kTM z^+^VJw+r(|uoZlrPY~PEDoWZWuh(#-Hq$02`dI5%6o3UFf4b)PE$*(Uqh!2yiZ{3X z3keKK1aWF7H{7}?X84j|K}}D*oHwHWM$j-j0n8WELcumE5a2qGNV5iqU%O!I2ET+& zY|XU2b#tMD4GTYGet8$r&pZbELy%|i$WT1v30n=6`+DQ|qZyX18!#RjFUa}|mSxE#=28vYd$USbYf zjiQua`9KTd_3df(;FDY6alKUjQn*uS5`tv1gIo8ji=t ztb9}v+SA7Gaem01rM^7=(v%=$zRlmsZW=3P5hkciQ6ne%Sm|Lk%*Gr{n~ohYWhDB` zoC>^EQQI<`8MxMd?%A>AinB?lX1KtbbpEsGe)UW`Y|LID+86bINLl`V39o09rHK}1 z^)3+bK@3=dUGRw1#}j z_OP8-8xeMT^5X;&nTzGDgXj^cRlk^e9Qn}NO>YAIHEv^v&@c%|r3MfA+I`)c$L>qr zgoM=Mxg_0ww!jplp0#MuV~68Ctm0GCN=5QeDnY_kx7#~AU~L4Tx%l0$o$Zj#*3t7& z%6fX_;H%S;Enpb1^?>o62;JJ(V!*ZluRyCSQ&DAvYWE_n9Fh%+El(2F!HV8UO69qZ z)n`huYXcJ1ILT(%Z5$%Acw~BN>1EqeR%8Gnzda=%aSep zv_76O*X_;`-ywp{6c?6`$V!Cm4B+)oOD!8)s33qah=?%0WXJ?*HqVhhQaY?)C~*IVAS2QU`v=h!nq+ux4-1s^JSVrvvuFm~G&#s=t}LVeI} z)rw7t1ZTlBuUu&FH@y2FwjJ!dUzM%4HA@7G9GL_ZsFl3)oo>F3CJ;{tIC=(s?X zj7B9;8DP->l!TrvFuw<0vp`p>SP#a?#f1SMakcGB-GHGwk0re<6v&21&O#Eg8l@*?`mE_qPOaM9? zSaw9`XvW7X1KLbZSe&y^XxdGak>hn%=uZ}3!ov*E|HJC(QkA-xyY(W;S8`52y5I?Y`XnP9j$WvX4WvZT(GNjTpiv zz2Fw}pvvS&!qhl!|2qnz`jmwCMi+^Px{ff^p5s|r#Vm6rKzx7+|9eeY+Q6Yg9da;3 zhiW%RuS83@LP#h`MNlsa_umI?K>-xj9~XeVIs@b%DAKWxwoKs#ZCY^b55Ts>90!+n z8;Z?gTm?u^=A!$I4Pj&;rXWtz#_elZULz=vlr-XqTXY2dh--Kd%LdNV`QwrHctKR* zI&$ItF@~D*WbgVV;s0kR>sR;BNa&Ofq<2KE-0H6%yA@iv`I9-g9`y33yS6dz!Lb+yPdqL{dB32#A2C3cM%ivfHUHX9tX%*6?< zuu9FtEQJ;95D87kLXi&8McA=J#PJgBQcM)Bk}iA-GzJv6?T@#Ur5A!-NGN5ypda#) z==cm1qwU$w3NuIuAK3p%G8Jz~I!AEKU3JWg$bM;!{mT#>jt9w@AZRI zBv8+H!gP&B#R(D^?7ne3HO}+c-euNTrql=nNrrHRcAL?~pk2b+$#UH(^V{Nhk`7!8 zsB=sgY>TPsod`RZYqkAw94shlFYRWte36iIR+&%6tE%&Z$p1X$!K&BVPa%S{xY`J% zDxCBKGz2Ou&s0}=9`(!T2e_(qY7JQtd`$5jPib+b9zq1f^4gn+q6`EX@QDH;<{Fh& z&@}!av=b@|EuG2$pfUV`>Ovw4lX`=!40R|Iz{qL^v_TIEd#hP9H(2V&fY3s{KdZcZ zUSM9S7XfQjVUs1NGP2Zhcp(Da%b}h#0t`JIFrWtRW49{%(g|UJa;}wO5~FLR8YJi7 zV8V$)dAS8O81}1u&>X8xCSnQC8L*klp~W;V=Ko`bk%$%uHh`mccHTEs*z(D-dul5Z zyqU&_CQwxV&wn78QI}xYJGle2#2W}oR7iNb#H!iSpA`r-ykC$EzSXI!8{)(t?0dbj zf5@GSTb2WMAAex5&VzPyp@}67I^zne66FVu@|c!WnbJBe<3HLbwwjFhKZyuAxHN zCM?mwPl&uWSj%kxzZhqf(Y?9q4go2eVU#0_96&7rr3X8&jQlymF6_tb+A1dz+#|($D&nI$s6IQG*a}M@4vlm^AQ__@9 zZT>1FoYU`-tZOi}11b@U-M8E;X!$4M^Myn0Ws%HI$jBvdf*QZCwWN{%vW+?$O3@@H zmUbV23u|FOz~e`DZv*?AV7)EeT7#2X%1CxPq~01g0`~Nva27gh7v^_w@d#BKlR(?{f^mm2zBdW=#HU!t;1)gHi{309 zU4#mLP;$FZFKu#U12uB)kw=k^ghE!7m~DtisJcDgYMCPBN+RwvIRk0$l^lR@7iF#_5ws{Z5t)1>+;iv0iwK?4x+U9Ewr?x|sQsJ@! z5|v-o<5+NXYT*S4VR;#cOIHQ71=AQzJB)?$hp>6HuX**z{JCV~uCY_KwOy`!=uz;S z&E(1TUvFQplZWcm+!`glOy+;J_G-)HJc{S2z|%VQpB_eCk3YL9KIr%Q!EqugnZM5Y zLdI$BxABHskH*LUJ#NMqJ3G50?@Z$%o;V=DNy!76+^7E7EAXEc-KDcM5AJ$M59IsE z)n9ypq>!b0uhn&;{wJ;H9wvQ_i?LNNmQOoU~hb1aL~S4<#9c0lr`#T+FDj zX?pu0^#i_Ztvk3Psh<3UlBbWM(JoakOe3!yY`u`>AX0xDl{}MZ(?=QIC!Pix0`W$K zj?DcsSi2iZaWu8hB4F(8>?UtWR_FaZIEb-#G%W0)xi?IR$t4Y|Dp}w?_uv*^?C2y4 zo%-$(46e?9w#U*iYQpi2R@YGm*1=Eh9-OC4z9yS^`v{8PA3P?f$w9ZhjVGvxvVsez za-Q14OS@J->v+3AaAO!tn@4bkrR>ZZ*RLFa-s8~#Kd1?O^TPsCdlw48Mb2Kgh!PGCN+d1blFcKU*YaJAu$W(u-y> z3kik}s5k6YHH!Kw2s&svJpbNIN+ZCg`sBuUu$5S=t$%XZE_LLpR3}vRPT8COmCvn; zocK&5>ze)FL(T~LSi)xeDw|21Uvupc)DTnR)VHdVjjB)SPw{>5FXU@)7%vA_7rztV zGr=K>3VR$0d`=@**M7zh8f3{WTsAlf2(^p5o_)bZIsiT@0=nx&hwlC-Tuf-!+4%KE zQU!P;^oi|HZC8D)4%Ayy56_P=C8dA!kC{*$S4{peZ%xafd9}}hE`CC5UT`8~5&p8P z^VWXHf*I3O>q}ID)L@{r536{2df=li_Wj}E3i)69;8q=x_XJ7X$>Ea%k8O3e!^%uz z3<;+QKAU4`-pe^dj1(%fd4LjrxC*{gz_T^0O~ya=fOHD_RHqbFjLs@E4Q_y##TSDn z%BF4Ggm!+Pv!h6J?C%bB!ZW~*TKtpZ{H+lF#7F!*BiF*Gn-LNk(5V~yIP4wMAM_6L z_n>1oq-IhWk7la2KKKxh!nA%yBLm2e(Ok?1p zYD5(CK4dy3G4A6<@l73S#_*lWH5+n9v@$oLGwAYtX88(9_;cz^F#{3FaYz5o%h1=+ zW%l;c8l!L?U9+U$;=aO--KNWePXyK2Lk=8^Dg$!D3Z0qsz}MBcy_2?B)|Qk7@f9a5 zyXrc5MZ18Ifg#dq;`CW2C4`BdLSI$aij$J-Cb^p`e)~X|M#r^Q$wJB|4JH}-NZTz* zg5TU-F8MuF)HJT2f1^|&VD`dOqWsT>Ofq9Hp2f30A`&8e;r%|fXyI;_rY3=t1xjUn z12B8yTq^RGT;${8pro&AecOW$$^LdmXqa?nTWn1@Y|w;PtgP`TW6rP;hkxzo9&QgC zn!ulmCz@CJ_Q6cxDlD>1d@c{(iw8XrdbH*$t zdQY&d3Fe)Hz_uS*3A;Kpu|kim2K+{%CI1lyVqlgZ6;{O=D{FaK^pZm3`E2JV?+;K# zKu@2K{oEyZ>gcGET6-5xSEpTg>XT>i_dKh`juu&12Am3Qe#ANBQr3BSgLLn@@Yjiz zi9`yaud%Xo6q}C__ie~twplxyL~W;TgUpgC&IFvUnM#|TAPj*D%KTwgl+Rf4S zs45`hEOZ5ew^MWLVf#KimE1wC_erDMi~kC1c`}+$s{-;uH5QuMLlre_H7$g+gzcn- zeYf28AV7q;x->hbD|YV>qiiqh0_}Dkifk_(C$*aJ7*FQNQOWJA?)wR5Q#GC30_V_d zsNht!B*I8I&gqQn-Xuu}cQnxTczA*EEM9)&13vS-=h)sGDMl{^?-=^8;C6?fv=I@5 zT3Z)Mf@MMgCu^RLl#rPyDw#y#?|M+!!RBc)ee(h<6c7osaOIc2y?P7Vgl8>rbuk*y%69nLJ}A@`Jdu79-|nv^>qER3wB@6;~9%w>DZKWZYp zW+!or9e=09+cNpB#^}H(E&_`JN8(oM&U}S=GBO@9YOSe{YloQoH?&zZv_C}eQ}|{4 zU=+T3bN-|m$d@dK3fBg`+&V9Xi?+HP3uSxy{==+MmMQ$VqPX&Cnx&dU(?`_RR ze8VReRp!rlS4f<@qz;w+RFz^-#4fwCs_@@88T82_p9`Ork^g;%I&or=0^7HxAgrOv zAp82Tk^FLdL8(?*>US!*q14B%;mmtdhi^dEr-Q|>2P_ZlR&v+PBwuKBMmTkjv<;6N z;D?fxn4L+N5fz(B$h5^CjCw~V9@D|h`Fc9Xw9}|{- zgwzB6kSQF?UM4qzhF##A^*W1$2sDx?iQ>|m%Ppr6k0G{u-iZfalWnvx96j_Yxrb=* zv@^bBv zab+A>%7Dwj@RvG~vhIg1)HRhyHsCXpcX$$1a_G=o+nO%I=vvE~6T|uvA!)_iv@WzI z{(bu1zr969M#u3LyFB9-y-O(PIp=lZhB8?b&;2^p0(UTsL@b3kiR}#NJf29V!>ql2 zY4?P|pxz+4hD^Ul2~F524_q{F*zB_CGE;o`IDzO9jp%a2(s!X-z1;?;l4pcfCntZV z*DL>LDptsxwdo)Ky;;2FDWR#B@u>@)t zbg*LzhjC@uJSIAjnT?Zo5rK$?O}SXnpo=Fe5a`wbn;LCKlN3ictOgw>t4A|(ejbv z9t>74zs?^cQ7F)6d2aGs1Gs}2Dm(aiVUea< zdI+M_$rENO-b6*5M(D>d5y$PWL0;?^R1E4ZsA@N}Mt`PY^R`e=wB~it4{M)#@wXIU z_?3?lVGW{D>%r7vG)M4=kSQYwn#CN586+00du-^9P*sOeAJ7TBSINWOWSI3-^egY<-f?jY3692wyJg6#AmF31<#7N^A%# zuNOfnVIt$cTN>*vELC?gcM)|Da~Lbkzxb2+8;Y4ubJ#CXJM>>SI%ljTe?`H( z2UTfltFO?~M=?MX`GwJBYeF(2gU}=Dikrp(e^NEeTAmYg*yYNa>@k9ywiR+6W6I7c zOG~fSQU75L#$OaoJ(0$Yj8s@SXWN}Q@*)SZd4+Fbt#6v8s#R&)62WS%G_rK3Zq7Jd ze+)6kW!#h6*B~V9`ZNCrzU-1=qc-h}5UYh7V)6KUs*{~s45B6f4n6}{P7Avl?y=RF z(t`W6@tKp0R!lCsi&SMq5mI=n`Lkk+TJ&^@XTdGra8r8KI8wGK8YG_XGs)|RknQtN zc^dE7Y~bN687_(2gcjE_RMmCVsoPU_dnR()qf<3YwM)+_WB!f@UG0GG#8waU^W?7} z8%zCd7Y?x{^;3t;b#f!0YxobT4Hr|lK~0Q{DWHC@zqT9%*y8&;d$Oj*Myth5OZxRmugOiW@9(*3OXZr zmrEuVO&nt-32O7w5`{zTx-C5Zv$&?tl;Csc9V7 zrKnMifUdgN^QLCcQ1clMl2c@g4WaY>B-+C~V6y=eYD8zKRfd;LZJc33LYL78_J3p) zhdbF$ZI`KKNqurjYh{{H8abwy3hrHpFU_~p(v@mJn&)%$a;wQ%@4g(2qc?7>fCe8l zxIV9HEp;+86uQU0@%hT8@E3<#lSn+l_ zyG%8a23?MCoTG`hKs(Fp6(1*65>dg=h(zE!>~oV#3rMGJ2t6Rj`MVrWM{HQa9DgUN z+Gf{`{1?pz`geLNFQb~-J^XQaqH@(kd4ahS6`LXRUN#%(!G$TE{G?{d@e$)l{JRaj z10gn3oqRHN-op&=TMg7Wha2uos2S+RgrA&pPxT-7LQfUkdqMVG;lKBC8-yISpi;*` zm(aw{tk#g>WZFomoN{mogGHOMbpspk65q=sv`L3A8v-RdOlo= zEg7MOUz`BlTe7O4dQw{;kAGHzL}BMzr=7qmHIDFh#JY~uxX8qAu~72wmAj@4#yw(D zXp(w1m3gOy8{owU!%K5#mn6Kw%z%d%?!9nl8^ri=3|L4&qy$>eckLbq@b<&$qUS%D zfAJX}e1<5+%@_6G>%1M=a~1!R1X1e#%Wv4$_#eGcRZz6}(cDaMz8AzMvS@1Rdyell z;kPcrZtW+w{F18Tg5^8FKbOzg{x*+J1&@aK3UKf#unG!+cWQ#31-;`=bO;#P3f_PoT{-Zn ztWxRXeH1w*;v>^YU-wB);jqgB#c=If)ZcdvCj>v0&&tkA-+w|>Ep5Ty>>XFtxdKij zTqw_&$9QeUNY-!ezNt52t9u^AdERllZ%Jg_UhX5kGVX?eX5nC!0#n3&;rg;_jMY}I zK=x%c;SUS3A%(C@IWD;u1KIwx+eZX7il1$D;lIcs|22NBh;;ZErgM;|hD|K#8 z)+y(u70(rpK5BSy(E=f!?Pr--Xy#ag3>Lp}wd2AMO^4BKYV9`lOeZ|u`6<`i4j8@L zifrVH*UYypt1UjCnW1fTx(T{<_qD9pkZGuxHk>O*H)%AW&8iNk+~S%8ak?#V$&Wh^ zBzGi58v^GfC>@^4`5Cy`5ep|eBWQ=9@!fsx%W7Td`YazAF3uGFsgj$W%jRz&+~bag zFY1eTw5l5jCCe%$>nV{(aHg!gYi0cTJ|&n+k z@ED(df+5@Ba}oh9SN?T7RkNJI+{QA_X9Idn%cO!pbdA?iQ@zg^eN=gWmU;_lMxx`$!7NWJyCL+F%BO^-ej3)_6FFMhFd^Dip2A3td>yDI{Ux%~-T~)? zx->FZ{3gz34KqF(=6qv1JvC@4qHlj&*3)g;;-(PY14VTXCy)|<;_Kx#Gc~w$UH_|_ z-}dq+%bEC?Qw0!Vp*2S$FYuy8(O?yxE<(R^$)M`d>K(Dd<9?AFh2MLksI#CyLEKFB zZ+cE_Y-|wfWkfl+TlzK9YL8G$Mg1ynQ4=urPXQMJEcMCwpdQfID0%yMT@7rVg}1-GpX%Vx=(y8F6+>)wvZDI z&c^q-ww-;5ewY5)sm#6%l+(>u2#F#zZR3L{Fr$QNUwFkUKCa2o$i#GZpTI0W(`{nH z>KzkGA){mWYY2gAeki-Vr{_9SlcvFqN&a%ulZr~HL~712q$54IfWMwSF#fHI+?{XQ zB@!Fzn^W z#d^_K&m!rtQ8v+mMsQ{AcWSCJm+n)ugNk3a_1<3;69>Hq9qi%>*{P-KdXlYyuci^c zKf&yk09b<0VhWO~7j^P)obJ^edOw!H;US5MAt~$#&Sf`9mWU!M3S87QYj~}Gzzs88eLRsTJLcM>+g+$H)-TXl4 zwY#xOg)yZ^vBXN>WZUmh>QT><56Rlr(2$ag_gr%XB`by#-E>wP;(da8{*jt34Ndp< z3{s70i%S+^BFrXP2d5i)-g49x3MlPt@T`C0q)AO~N zFwOhXWXQrvT|!#-s+K8+riDn9&Y@^BNZ38kFst4l-0Y*k9L{{P7Bky_NX++{#$Q#@ zL{Tnpi`GI0nbP9_GVw-4Q^c9(@{#B`B*~t&eLfqmxWb*YO?_j@@_7enW?5#l zVaHO0ZiUk2s@t2C2X3pB=uyx)(4C+H@A$4Cp5tdY(4ih@kryk+8}22mMm$@PuXRosmgD}@29!l_z?M!X@v$#-hJ12v7>aRF&J*x zsn9Z^`+Ad|8kG4_SIKHPBpzo_fWcE;K4+jbapYCfHNBCe|F-Ik=wec5@-LhIDGf#r z+B;$Ev@(`L6ZCSehF1nVm$R=Q=u>FZ^c7~_c+QbUUR>UN<$x)V?Pb!`&83~jshv+`PW z@@6YXEGH&U<;^m_f3aji2KQ>3q$A;>j3DRdEPStij(pPoVj2G}0q)dK1{$Q1#ze3U zLffX;Vbixvc8zSXl1obi-|h*~#X`isaTCiPw?01iq@1`LX7B9H=UkcDqMg#O`qpRX zFxxCscifA6?+*FRV44Ex^txYH=EP~47Z_?y+OT>_|M#Bu5%0STZcEnfFKlv7lSEAx zKRs`HK3S3x9caA0{5~sIhf`Oe-*M$;Y_>EVUoMp7p_E@YA-CYOx=!t_UF>z$SM!KGWd_xqr(t^G;v10iM<6t%7!wz5)&7&n6aoTQSdJbR*FC^vSP7L9%3 zVfD-2R#om<|HH-5MGC92mecdIp6#Il`#F8pgNKGHwEb84DEnM_H)9vxBYG70OOEp9?1*I?Rj1Ot-Tz5UZMI_kw2FBl&yz z3UbtobFF=X$mXr9sis!k;T#pT+s6Ez+827<#r!2T59*~CHj{}Rcl1KNuJ8HVAt^_E zoz5~$yJl}TZjxd*G5%W%5~}*e!?f|(7e+n873#iCx;sjlUik+~Z}n_T0`|W*-g>+7 z`0d82at;@>DWy#3yp5j>d_{WR-_2&kviocMiMlo!OdqYj8f#6^m^Yk{XDa)oBuW0O zE#WCh`HF0NYD=2jO_yC&+i0+s$|GU@VbOEmo}0JEvY1>b`9U<%l%VRVL~M}`scsjK zdfrNCo3yURB;2yqolKNdN?8KjiJ$!4Ox6j+3CErIN!%rxAU_2a6{hcWq#PJ||4!_B ze{>e9-Jc#^*Pk!FRLe_>*0tKuEbNxwt0$#qhgXNYQf>IX#S!T*yj99eDmUFCiQX4a zOUSxIDXm91%cXFgoWC4!ZcIwknBb+Uk1cJzp{v6xyZM?v*o%y<34e;Gic{9ty#0&& zhbL~w8NAEk<(2ZRJKG_7 zLwN8FHYSHRS4!j5^(%!}><*HgO;=kxs488fm#$B9#igWk-#Z@|TS~^i=rqrBIAxH| zUC&J#icu{Q$Zd~j|3f%65MWz?C z>i83urx@;<%?E#6X1nVC@-UB^^`h$R$V&2d&C5grUiQIByOTDX2KDlfJ{OggyX<7E zimngOIH-8v_u^jv!!9e`jM5)~3fd@WS#3EfM{;(h*}cIIzsRMvSlAtB`Pb-k*PH5S zGQO-pRAR=uP3zF_ko~YjE3hMFh1{`q{tHg(Xu5?7r(-a|D6y^b&+bdg?ZWF6j;~8C zpTR|+Sz!ZZQaE`yS<_VBvAB7Bwa8bZyyrRX`lUufW~KLo=0GR1pJ#^RA5}Mz52p5@ z-XnU!=suR>tB=5e#2${et?WqVXxqTYZJx`@f2Za^%X>d?waWWOmxouw&2OwSN6|+u z1CgTzw+DO=0=4RG_s`7|ldJ>Jr^u zj!Rxa_!x(D+~J?RF6!XzZ`!Vwz)Jk#TB5jRL%Sp+(JRb#%+sF{+sv)Jkxt_-6?+SN zw0TYiugCmv#zku7FYm@z8b4c;PEsUS3&nI_84SUU1V?@lb=yh*A=2#-bhHyWYB?@w zbjnHHx^+CjJ6!mKj>xQV+t&qqqb==?`>|S6-Lq?d1aa$nd1Kr!8W)zcjm_ zCeT9FX8(qio>}z@;6}FJHMvV3u4m;NZ2D=JdTD)WkbTn5nZ0LV8hglvThCo3IppfH z!lo=dB}?Z+>RogHHbuPO9(VXHPJ1ye%R?`9SHXt{yF;m)8+XG+O`|HOyK6k$U{0#B zKhso0G9&X)cyH@{sfly4+W7gO4`Uid>c@ z*|8AWsxLy5ipiFq{K=~I{N2JUTavS^7D#!$XlANpWpZi9e+NYR4huEyl4$ZSKBQLy zmU=XQQDW;K*2|;kY|N<1rdcsY1m}HXOGtyYc0%~kf3dctK5hIG_af*LUfOlPr1P&e z8Nbbtf}!K5p15(4^IE(4!;~J5e{lMK(H6z_2^N0;dImX)51dzozPiOXRR5&9siD5V zrIgl`@n)ujlXO(w#fU)vslftD{rQUHpZiH1wzLU!~~wyA^h&o7(hi zg|DwZ=Rq25OB<^Vc2Pe3g7B#9qOM&sJ4;;Jdr)2O6?*=yPcz$L4ejUA-NGXmyDP0(kolG;j&(!4R42eY zZTmb0m!MJV57ZJCQK;`6BE`4zv0#j!$^5HS=2dKp)qCB=^7Y%Jm=2QE>H4F(J@*7o z)X^XA%~4+u|GFWA<-X0K?9%p0oO8vO{EmROZZz|I+I{{?+f}LI%5wRVr^PLnzI~Vs z=XBl!6`8}_Eg7)~GW)mutBS?i7wc&kjt*tK_xWWGyL|S=j&@~^T#u%kYYuiO>gT3N zkGfKhHhuP=h-o4Bw{h5`t&~H-#M+}k${L?bCVN*%j#6)b^}2cxlgp~zaj8>S>gd17 z9b(LTv4hM&&PeUw4_!{wY~OLGo?Y9-VH>xbYj$SbMvo2+d{)YjHn26BE7)rLwTYCY ziAZ1FG=0>z%C^C_Vg=czoA)QlUKyW*?cBqyqupkiqaQx|6+Vajx-I3Qr~b*a9C>*n z*SiXLYILQKh>lR|Z)yT|3b1?Zi?tXZF;-rjz4!LxkhSJ;#G(%lttxEdHQl+rxv{qB zjwJd~srtwBa1>YL$@NZ;Q+Hx-t7~hfqr>XHG+o2e%h&No;W(eXfJ{=peP5?T-vX4o z)cT6_qd?Tl9i)#TE2i^TkB95N@7@||gJS;>$?kTAojG>YFN4^6zW|^$-rll*R^VoyU(S=%%AU>o>MdgfuLH^Pu(g@o_3~G;iG%feN*|=GgFw=Ge4XMo()#~Hf_?e`u znI^+1&cpgXxjmAig?FIDrd{4!Y_r&2vo-psPwL^4`FVuT${M?uTZ$J^)1`McpKC&V zM7Zc^E9Wn!Qd;xX&tdc05pz45E4fX=S<)pWh=c1s_k5_2EGt_&T!Z$0mRTJz?q+Ul zPH1kY`%-+ZPR$$WB$c_xK9~EjhQVs={r3ffze@=B*4?GWTiK({gEdxkf-6lG!iHxa zct7;w-^VPoRBFzbH%9sHzT4H`uIlhmvl>T98TFA;>hA?L8LfiDNnKI zYf!TZoA1!!agR1`Y*Z~H6T}i8zl^?d@b*XVRvnHkb9RbmlPt}dOGR6=Yqx&rzr{r- znKp`RD`bKvChsu5H`QqD7i+U)v2#@HXrR7+amuwdK?x-PaBvQbB^J(}I#PBoobBk^ zyV?JrMX1JiK%`?ep*dk)HWQ;W7fjcvl5Q7=-On;E5-XOk{w4mmA(yT&Ot41Vd(AB- zNER*8%rk?<7rBkO#?_NGC5gFrn6!)7>6nn>@vbon6(rtp)i_@uO`|buG_W;;T>hea zL{b^JFX?RKwz$k9;N~hB^**=e*+9Smd90OqI>y*D4f`n6&R*qh@mO(vLc@bX=CnHw ztH4zqD^73~$Qi@F64Unnkwca{8rByl>q$(Lo!f?cSNy;#uz0YF#x>M3byw2V=FhN_ zcizNw$Nb0YN!PjI<>8Kp^HiX!g<{_}$PD`uc=L1<9(g8Z$GtEalJlcQ1Ubadr#W=Y}VT*O>bpK}QiP`Gov^rLE8tdK? z*L~rW`K)h7^?Nm^uWs-ZhhjX=OX1Ud*KB;FWxD<=KIk8_Y?xkYT>p#nCg=AjQ*Dn( zUS7HZQ5An+-I%cdTzjJLDacEt2iLB!;PM9u$!jHJp!bLtsAy2%^Zkx&%}Z)=eHkl1 zGdxAJMl0pZ{9_i3hk~*ga^r?M(E=JyE9D0p=a8J4-$YwQf!gR?a!RxY=zwa8QPy{k zAB&8?6LPYkqL!$GUn5rX_MwjT|9#}pP_cezX?6)tl|<4ke7Ehbenm`B3*fD z1sKaz>v~}si=i*h`fa>$+h+>hSzM&*Sz0aA!wbmj*2EbC@KU0{ZrL^WPNjJc}Du=N31vB zrBeCPe2+em?ITp>M)D$|%_9?{k-EGbw8Udt)u%8Nu*jGtS-Mi|Ay-|Vrab4IrrO#41C_;+k~#s~T_uBcQFU_T`I6HQPW) zCYR4aUF*#Ob_Mcz*}!NjlPtA)&JuOE;gj+BX_AGtS7G=dBg|H%S(5Erz53`#1iz z*7^$2N^=Jvc3!Gi{K_jCH<)d|qt`Dm-uG0}XMX1%vz*SQ+}+%I@XN|}*4hyp1w9pM z>TbJNn%b`-i99tgBkkh*8<8`T z>%jyQMgEIK!3rY!B46mA4>&j_4K4&VXQvcVeP^$gXg~6rGB+>3zeBK_j)MI@q`^TV zn+*EohQjAypPkIr)g0d~eEE-mB4oxDG}>Aj);qpSY1z6*7}`3 zyTYq3Vh9XnUb3_I&ivaD#t_+A_SPJRCjBK4)$qqZhS+?&g>W=O4sRXx%xmG=aBkY4 z(^Zw6^rL{QLxV*Ez2&_RN)=9>-(gUvp2Cu6WI=7efw@tr@7(TPB{!bYM-8tt*^BS* zJlPdf?+eo9;HqmjKu76MghKAF@pIOZeetYmPHlY!1~kQM*KS}3M1t%97%+d!?D%%# z5lCss8OkLJl9iKOb#V78vao8hTtI7Wf!WW+gjPUh&`#%$5TkvP^^~e`%~svq%Vq3gIQsx|A-H{YuNnBm$;JmxitX8)UBs zuY=xR$42jdFZYpdX>)c~F@1Mka*}B{U(45vq=CopA)Zv}cGpyULuZ>jkXPW9%VllV zuW(Fu(~xIe3kgLDr#U6tl&@t6CxAcFxmk3iK-oPF5J1342w*g8vJ zVHmwEeQ;L}*y~5>FCOovm(}K&zM}T)-gfEMMSrwHSB1qq_H6b;9&AM=$%&HN&2>Y` zp@b$|+s=$r{PXP3;SYdQ7Mh}Fg6dJMv%1j6curR2e$4jf&?# zrAL18Btcd+!VCDSxkeKA%{Ptr=fZ?Xh^q^f69{x=kk}J~iDMs83y1g@O~HHN%;xq% zT`Ia=pts5Tm&ARP_l%{(RBk)SOpUX8QaHSIE5@Xa)@3H-M|fBks)_GjOTM40E*Us6WdyUxvUF1?-*ju;;F1HNatx1walei zE!8SqU)vquJLQ)zPJuFqqg9&CA!Q##MLNNHE97_Qy2rXdOLpG8NEUh>g@o;qJ!O!E za*6A!BYXYRP0=Uj7o&IW4OJWOohMzr^$Zp6YCpVF*e059c zNyR??c}^5d!25c2Ba~mglpDrqY?rKZo(`o{$0pqp%so%<3JtB(MGP}T=}*-ao~RWv zgJoyvKwH;lz9)p(^+IHHE`JZ=3GCE?(!{@5Y?P2;z$8G4;U^u1?LcU7ouFQ>Grelw zxp<9>l=5am{FwUpZ@@vca z*v9K?4&IByqE5^U{?omXB^w$!euVv z12j#V9n72B@owSKY4nAmN22?FchXs@%P5}^osaCiY=WLw6N{PG>FZ`pQ-amJN;~y6 z;7RGLtMylg-+@{UObt*f``P_sX>d)TTnL}K^VT6%8>Mp1ARy)z-VK+3l8&s|P$`jM z(zn_Xb?P&D%)uXt-S3kO*A<)Pt| zPa`LZC&`#=>nRx-Gz`R+*dRxj`TVDEy>HN2k(->3p#t0e_lRW%H>bujADYOnEgAX{ zTF(0yl}2vQJfw{t2hG316!yIPa#}2Ar3fuFO3C(`iQYlsB_0F>XZbwS9JSI!CY}sowelvODDP$Rs1~DVN6`Rf41^LGv#=r8vOHIJF;%;_IMuJe2r5V^d{Vp)M$C zc(3(IQ+6*+kk>ncoTQNk%E#%V2I$WiR>^bi@D+5 za4>7HU!m?*xaqg^t#+MRLcQ-cnbw@x{*(vl4lfh+&%a^WRaeyzaudDTtqOPw-AaeM zcjs$wbs)18!qchYi8WC^R}Vj!UUUm&jPQ_qB*vAlne|O)2QYj*I+h+a%s(GJy5c0# zK_oB$E#AEhKcFn|^9sBedmBM({X_M9DIAxSaa@B|4NtjrN=fnkIZmJJvNyncVwT<8 z&o?~sAI=H)`v2bS%Kc;sp|GHJP{QchZ6-VH@MO_W`MoKt_npr7}#@;k)Tul1j5A6ar)np~}w-xt~gpT`Pn|~I+2@1Y^{zkqE zF<1X+d&$9df`Ygt&FO_+3jF`2*4VD`G%>#36$*4`Wb%9FY#KG&aA2}iCq?eC*kRu- zREXE&zxUrf@9^Fu>C930;PPUq6Oe=^tusekJzm^8(4oX(FY^~4)#sX?t_d#&? zpeAyh*^aBZKR!!)oq6gJgGXUg7oi#+ePd*p8-7%s+LTF9E|;9gq?#+T+P$zvCJeNe zk{voDQt;_6?UvUH91Y1*Z0{sbV3uz!Gi3^ z1wyiZL3`$-GnGNSw^TKEvuU6?OjD0muTA|}igm@TUvG3jFp^xdpT~zk-F5n8_^5b4 z8NF{nq>hy7gst9v?Oh>g$+}CO_4=W&*^e;&|3A;2Zm-GQ+FAkJyS2U632o!c#2H=$ z@_^*b097>QuLjLOAt|`-V~8a(w2ezsNP9!o3`5w#>-uMdep8sUod)?mk+mmRu{rx! zHA!}FHc176A^%YN_GjL9JLS5gEH(A&r#5!dbr9)XYRl7mCQeGwnZG~2IxcWTNr;gI zI}>-cl8O~~Jvg3uSr@gskN#9J26^g4CSNKSe72TR^hL8H` ze5y;T5#q)Qpvnv2yrTMNs9xGdKLk`S$0PSRScQ!5slz#o&d#ijYOzJZEj)%)C+4vpju76u`+Dqv{6b*k9 zhRvJRBH0aN9m&kC-%M?0JgwYk%&%dwr#^Pu&vc0^F}=Uu1^H>{i^RO2RbSm&(=v(t z*fz`l7!4=S6nMADbW8UYyOvkQD>yo2g2@X%PBl)Jx<;7W498oJPiyNx_L6;YqtSdl z-|eis^PSF|z38Kx6q!?WbSyI3=4VjuHgIC@dzn zY7MP2TpOencfwzAukZ&Xqxj*(l4AfcSW_lwwA21=l-fE9KLa`T4 z>--Y5Q4>c<2c5J*@$s7my2M-wC0Wdpv)RWZd$xx$Euh#5t1wx|%sjQ;uVS<_Mq|O; zwQ0-oVf7PZxxoe0;xBQJlu!DoU{9xwZPJrc{;y6RLjK8nPXDI2<5u^Q%6sJoSU$1; zdW*OPySgAW>Jl^=3mouDLq*lV2c$iGQ!aR;O8Y(hC(_gbV%vlp4)0$rnWSI06gwuW zrnz4uZ|%WOX1$!Jc~?fz>6Az?SvN+lhdyv8Rd)ziK-eCaW3 zuv+U)=CO8~!?Ys?ScePwvU_`%P1IQHod~jHU_5mQtiJYP}N? zq*Ii9tRjrEv4=%=*K6Vi^U1ybP%7z~G^RY$5dTUc8cscvAQ|R09%mz3GtC}oh2Vy1 zdZ&C}ujb|w+LuSS^Tf56HJ7i(hzZ&e)3rYBCmn!?`P4~xi;iSq#^;H{G(WfKj9+e- zLh)>`v=z&g`Ilt}dkNQcYi?FzMGdLCxsac-FAHhK4_cH@+tw6!{;oA_ES7n~Vx~oW zbmNIx_+kS7h;pO)H0f#CuaX1)H0p|`r~QuyDq*keVJw>PpSdm7T^&c|+|@I)C>Or} zJW(7zc7Qa$ywBRpTPAh8bP84q1__71AlVuaDmO4aAJ*{n!ut>3_zu6^V*Z%iA9ovxSD@!G!PQ>2Pa;I6hwMY8(Bm#R& z0;1PU!**r5ExUG1*}YxGGAf@`O8zc(Nzcg`6z#EN+MHfC19>A$Szg+saBHeTebU*w z8uU?0fWzWWt@*9BHlCDAyzz4jcP(=Nu|vm~G#g1kx_+KrlF7k>j%I~bckACFI?|XY z1=BnF-$zSK7Bn;s63p*gjOOuh5|y`;N%xUus8<}U5L)=ubRq)QP$=w8bBp_RHs!6M z1|9}dg{*U7+Zhq{kQh*t^?vY55UhCEd=|ZV%k8dFS(c6da%Yv-DvyEjK(6 z9R2gNN5Lt|>0bXsW0wcF+ixR!w&&Lff18XZT%okHC>N7dd9A8^+C1_ZKEL{*c;soO z_1r?Xhksr|JxUP#LQX4Q%?3V&iX_ZbU`#N=Nj<$+G%yU2o>zJ@Jmp+z{US-qQJKOx z$qJs8! zzOe3lS@qohLEzv|J@69#SXJ|Rgv7+<@c-l=$@?TDE9mt>Yu=(W&m-KssZ{S48@ZXwh{N4MgZdLBdlA+a`5;5jX5N^Qsqy@D|DPE4vH3jguwRJT zyqzRxk$}moDmvURa$`yd_Oj~BWd|F~oI-!WXJ0MV)Q*NCK3*MFqxr_f!R+K-|H>{; zVCJNtw_Ktk1wTzC5SCNAIcJ%q_B@^>eaS2E7osVzPy3qgf8W#7bwV+%lblUI!R0VZ zZLl5aERE?880WY8JN`UysL^I*xNO{GeBkudGcv!%3qQEI(+t^CU*!0h(AoXZoW~T}l{s<*mhHPYRHEaetChyD?s!O#`Y~;&MDa2@x!|vzOtTP&B)8LI7NGa>@VQZkMOJTq zSdIGE%!gbIV_MpB;|==FlS|N+Rnma*RcAg z!RmLUg^h(D3rDi~b(!%yySusPjAHf?)hMmW3C&$u#6sRafGP9_Odj-W9Qr{xA6W1- zz*Rn2OZt7=Dj*=Gsvf)`xV>Xxzmf5_fQ7I+AHW#vuP=G!H}ML&gyz^n{fi7-{k>`3vC4<5;!5|{T5c|Xo&`nW@XUTj?Stu+1;Q~+yEq~2?dY}$UG$q5 zrt*H87aqt?oop)v`+gc&0f0b=ZhXS*L^sh=Y9==6i+K6o8r$G9*5*-l(D$$M)b*dQ zMv6xobLZ#?9eL?z#n50r&{fl~UphhU@#Vjz`36Q@r*<8VyhZSs>y22}O*SIJmQ^+7 z%7L4#A)oG3=X;u@558cj;fA*=hW`3_v-7{PWXt$r;?Z(uJPi_G5_sj)OmBYXkNzjSnI3U8}x-Cahi^I zLtbhEkryPmwD_!+JA>!f^Rq?r;5w(Kzh{)u?Ekj3DQZ-FiL-^A=lc79`g156!rD0bh0I-GaoUuawI&^+>Aa1PEj zot_I!XYhS|g-Z;C)05BG2H$edv=xRlU`J3tH=zl^-g|1fARSFp&k06UXo@u*&8$ez zsDUjO7FBDD8(pHU0*`;(41CCMY&*O8+@xTEc5`s-Z&3kWu4GtN;m3^}qZq-F`BD6^ z z-a2}R%By6Sn#@>hJQM0>|2e-`%3nf+z@ zgIds~#j5SHulM|lyZRYwOWv-ma-@3xlooS(M>k`eL`%K*)=$pcUu|K}Ha;_=4x`!% zXBv!pRvv2qU|IU_>nCV-#YZvLKhn43G!>`HKZ#NYvoVJV?p4BTECWZRa9-c@5)Yln zhA(-AVp=k)LqWe}MI@h@M&nmRlgF{}E3UsIyy~^qt2tec7Rp$n-L$vPVQ)vC&|0J4 z;%jBH12c#CRF#Pq%1+Zc<^xr=RFaiT%@3I&umF7=&lk%r-^B0Lk}3XBySfr7TeBgR zO^WF~yq#Kn@b8MbsPw36vflXmTE552hu7%>>wnHWICHE$lyl_%Qjsk^Lu~)jsAo2M zj3}Q%ltDD?7)^N+=f1N4&3#?`12m!4wVUfd?+K*X`msgmw)?ijiy4**aqev7&7LyN zeGuSA?#ZK>iO_UIAb-!7l3PV#QO9vv*m`Jrnk9ybNP6yapc%b&Riv zYYsxPSq#J#zzdm`43P=8&b`pL`9dU)e!-ChcU{dwOA-ZGQxIJ2N7HZPVjk&U&3B7! z2Bw%9{|H;N7+V(x*%b(B@#$iaC2feZjU8P$gVdwfEU)bByXVTtmZtVY+Q#pR=Lo3Q z2r(_JY4FqL0TRbVe;|0rwGyHpe%W2pymLd03LsJcy%K!R>SM%o)nb&V~f)roT zN6N=i?A=4oNyIVg5{kd1kC3l04CO7Aq_08Dnha7KRYoC@)l**fFbnYT^&_-q~`VyfeJsm|#kVtjDd}(eg;7#cNz9 z_Xmlec{4k#JnG)^ysS*e588Rg_kk~S8h^%bqIJ6$=_NYx*5yPfnGsBK)G8SX>ysQw z{lT;pVk z;zF!Sh(09SlJ|bHv)JGfg5d>!;QPbd%u7#f*B*=^Ft?{YaI#C}MnRBN8HBmr;l0(P zx1r66sa_NE3A@k0FO*ZpMGZ&JpnM8Hl_(Ug`Hva&Khn==QXI1$4gSS)RFYn!Kk&$y z)+FaE%tPZ~(Af&-SE*kWf=)&CCrkfIi?*_5@cV)&@yPel_|i_p#~ps}Pqd08dN5N& z`n=Qbb=8om$|$ND#F&>Hg!62avSQIG5@J4BwD{I}6=kuSQA)?y`*`b-M;i<=*qqkof9nSbAN& zU#}}~+MTjy@l)0DW#fT-&!e<_F~c#phPz*cY0fmCyfOy3~Pba=BC#y3T$btnZ;oRf<_wlYfWq-%+bH^^{TscUplO) zIaBLH6e}`<`5A3HoY#a3%U-#!^p3w{7FA%0dp*g6F1dKy8OJn|6060T`ha-WK(#p`F(#-_w=oC3wUiy{ zTS2#&hu7lwPGxV8hx`kW5*}cuWuVKmUJLhLSG^PB5Rs=V1?G%Z1;~vQ8$Q?zM(Dnf z4=g&A5~i_P;`2gD3IE1SSk<~F@Ih#fSoK8F&)~-*^J?NJm%eJX6U9?~;l*zD(eC`R zzYXIeOR<}{TMD{%71MMa?w5#8@K0ZP_9f{~k`H!&m)`>P9DF=jz$J1C&|S4rsgLrB z3$L!LkIjVLLaJR-IYD@w=*uwMgyTwA?CJKrnJ~IsQ6A*YsK(*4u}9fHA!u9Yd9;Xa zPb6Odh(=FHPsgK}QedZ+*7RDf$b^gB4qW%AMW=%dMO)1;=ddE|1?Y}!R;#ISRmU>10~OTE zJBs&}J1Rz732_>5ADA`62i-=m#`_~M6m~JbUY52La1y`h*L7QPqU@MS%G3QR(kZD; z5fDD<3~TA!g4&_TB%Q-~#$|dYTo`m^r8puXB}zO--vEtgkEu@5Hf=X{>Q=J_jiC3~ z-O|B&^Oxdi8qS4Yu5*&v12#w#?#`2#b!CHD+8jqqnwjO+xXTOn9m; z8upETVGnA7;X*Uf>|cM60cIxLQVfG~XVE%;G}-DcwvfH8C$4~D0o;}P(o42oKSdP@ z(JU1fXD!go$@Oe-7Ft1Dq9LP&Q+i=Vl~5ebg?PO$Nqk3We02|B#4hAPn~10H01UuK z`Lmnd-;v^)hz5(v(++RrhH zrjopUt$tePw8n1Pw7ji$;Q0lqxO=+(bvmHxvG@{3w`b9YqXNn=55|c^K^kM^Xc|Og zYY2$)m4J3%l$Ac_f15OyW?|67kG2;;J~Txg#t@LY$)f#*9Q)7D`){y84l-%P(FRp$;>QT4n}TPU;R~Bkosg-@}Yp>Nar}>4nk7 z6QAI7O3w_a>HW#?a-o2KpD1ROtJO3q?-ZA1g(fLL6(m9aO)pL>XBIwN&C&jg28)ig+CPzu$#$# zx=uvGMB4e&wVFr!`$B5(OgYaoMzQyh{6#crhvNJ#>f|#IK72JmGRrhqu!`NxZZ;f0 z>>zRSXeq>=$YGFbkzSvtJ4eMdDmSi%Kg`~@;_s*NvhqcAr<$5bphm#n()WJx^KSm- z=J;BgbQMR5N+vtCRt2nOyK#Lcej2Ul%3J}_D%&|Sr)FrWL&VSPUdJZ|3jLUk=dfq} zR`X0da~Lp$?tDc2Y)rvQno;zB#&s#a=5SH6zPEbHGIJ4gA8Nt&@t3QX{ai{gH?q?o zuKLcnOwm+X1p2_qlp;lg(Gid7FypwqJ%x=j!JEY)24YM$ZF{P0uTSN-TF zjZuJSM*dxFI&DGDE~yN( z9a0mqt{@0b}KWLvxW6h1^t0R^yx+aF%^iHt|IM3E7gJZ>rfdv-UT zAWQS4RJbk~I^=N7GOOh75Z>r7IKr>k55n*;Ev+==lJ)~x`eH+8GLsB6H!kIJYgY}( z`@@x`OkP{da0izK)YOiHAFqXG?DT(ezJ2tEzB-W@8s2Sk?EcTc^%Nh|JR_~z+Xc7P+gTzt)w-r|EC*Sf6T6JA zE2B3@aK{dF;F?m1UycTRtSH#weJs^FRQKn0FIVstCLncAkNnBB20yIj-)1n1Y0DQ# z@TIB^_w9}ozx)9Rol}1}^3thBO13x9)Zmg1y_^DMLOc{&3xW=7;}IBBtSzDEU2*)DtrVKV1DZDjmTd&Q19eF4L>v3R_KT<+p!;{6y2 z7;C>B;N4`oiQxL75?FJHkg8AcrV&;KOBt*#a$XT;{3B6s0C(t4~bDmNEDLZ zrcVE;Sr%T)#YhsK&szL(7r$8TnO?JT7JCnSI{|sYV0m5LQ6y2PkKpcl1=v`nQ@g(K z(S~D)EACRQ!oI*cTgJ2`P93bm3s!yy9q;eez_{ z-Vzp;cW~hXggE3bvAK1f@WcHhccfieH?&*~9DKJ#xD&w*fGLNh-M)d1BNW_;073vv z)D_qj$n@uL*Ds_PrvFsFF;Ek>*TtQfhUq`8YTtKYJn~pYYml zXQS19QdcF`pF4tf^|Z{XXnn4mZx-ab8o|YW(d~-Dlb&?5QdD_{wnRt`hsNcwg||sW z^6eq*Kn7rAqPl+rPa|O%sR5Rpon{yNKe`7d8Tfuu@B8~hM&}}S)%Ow^QIIAX6#LW1 zB5g@S^9iFla`{Bv0>`=T)8(REj3#m7ju4>BWs7*o6a+`>A-u>v zc}{~D(XPOkM}vrg-}EaIXGq{u0_l)p4chU2Qd6C-3TMDz4qXcpue-_g=BzLb@~(~~ zV(8p#x^@m?e6q{5#;oC2omB}RW{ar4B++40CMs{hk z!%WdoKciCV(26QEGNxE#u9I$n1ih(GL0PSA;^SG2hSCS8G2*mfVlcr#WQ)`s_=0er>qy?DG3O(BPzDljZS zyq!pV8wafhzN($z7f6lvC*_grj2P3VW{bBU(xPo#VVR)(ky~f-XTXbKI?!*8NV7?? zyhXLHOV~|}y^V^w;M+-*^B=5sudp6w)V2u5PRahMaHT37S=l+>-k>{C)Ga^p9qsab)Y^br9;gif1ID~5<6F3n^A}@nRi+Az zOx;9`JZ;^t6EO*c1<}VQ-|74!xGoCr84VJQW_^>yQzD=%YWr`cT&ZXZiAC|KL@{)X zUUI*Fk4QR2js*T0Z|K=LJ^yDFh>-*SJqhGCaDVn1fHLs>+$5JRNo0PN!&KTKNk~c? zZM#Hams`pZjRwfND*sIF1YV{wVOnY`e75(9RXSBLoQuy{JsS1w0vt$5C` zmnafgO1H)GX_0q(znw=vI@ZY z2Oe!TDX|TgwfL_Gt-x>tIZXPTU-Xfdv+lf?i_mjTJ$*}CfeB5ANS_9LD?EjD4r2Ko z?uc@wAxXz3#zU1`Oa!U`=_C~WiNKpf0f35jMKCg^^Ldx{5CcT|;I(2l-W$SCt-a0% zSWvG#O}gAgz@XL&4BjQ-DA4F%23U1=}LsHvYLh27>=c4 z@A8xO!wdiucaAg&*B%`lp1IB3(o({348Y0Zy2YY7nEvSPmAtZ;wcw2$;yBhX=jy)f z8%0iYF3h6+P^F5=K`qNBm;@0m4A0D40K6YE$X?#DQ?#tU6nK~aSAI`!9pp{=qu5+- zmJY@(1AB#bSUYZ3793e^;9YRGOlZeCuKF!5=OM^G9Fockz{)h;rTc6FS}vqb?(kH# z;FTfPwG^A5hwJ{Z2%HD{-mUT^IfYdAH^zr87}#_k8x70WX2H&#ub@W8^?sULs~b#F{geJT|TBk4foW|D*3p_@#pJ4ayx$C!~4@h6taoH zYq@8Gs_a$Wkw&9smy#)3Y-YN3uR!lx04pq7uxi)0xa6N(S3m=K9Zu~8f(xx!+Plk* zOk-}>CZ*SUh(ZV&=>BAvdczmG|AQ*)^JOhX3kDHRnf5Ak1)$%tRl=xH!Qy|=WB=t% zk+g)~YIO*`Q@p_X)xHG5^J5PSiBxvbNexq*?0(NTJc9m#maR^690S^waJ#aLX zDDSOvs1;zOeEAnpPK>sRo@#8z z8$Ghqe(*rI0@KU9~a7IY53K)Rt4mF#@*q($dxP>8-NNio`rut9({m_dTGR0Gu{ASD*~9m~#d{ z4~P*Qw6*Lx`>%8{7&0>S%n3pPgHQhM8bdn)jvb#k@Ep_tqK*~_S=C?R7M;T?;->F& z@m**I1WIsNz2{AXu_exZNF!tIUrzJS1al#0Hz_Z#GW|(S3n7HXEm(>Bp8OTdTL?iL zIbg(W3p`Yfb|GXA-p;D7Fir;K8_?iY;Br;Z*?NO^0T4Gd?v^R!Ygl!D?+SkT5{)bb zF57+l*7@6ATn2c_Xb0WpO3Bgo=vK1BcaXgRE;&%+n(JXAHb5599_O`dODERv6mrj} z7Y5eaQopNFF!L!q+Ut}&tt*VWPx7L&UMz>D*NF1u^vGhjaR1a3NgE&Csd)tZVe(wX z7-H(od$YUnD-NS~yy_vr0{+Im%lV6gDHZ3QD)wyAS@*Rc77~aHxh(w4?N+I+0$DBr zQMcprDRp@zRSc6di^mBh6;qBQCUmgCcQGK0Npg8@PrsuWt}A}AX*0hv=|d}pQne^4 zbofly;$M6QEoUNR&=lXdSJ?3|40@$f>8N0Y8~t!=Bo!-&i}loWn7tgQP$XA?C5Tne zD{OG<^LCxJY?<>GNiOz-6GIN?%g&Qlwu98nG=|hqFzO1Ve=qg6_l<~q*9k$OC1#n& z^wUGu@l4zbof3@u$$i@mZusxWp^(;`7ed>gPhv(IaZQv~wk+w+(R-s={QO?A7pccN zTpzG+T*;9`D^;|t0PFe#jd=UnF;OL>W(!I$|2~qk7!WB29`~z>pDTYyu0*%rz}O#5 zxTs_2D^~*?)7{k`#BD&94BPy34BS~T{lxz zJDPDg+RzjM*zmDSSTA5$Z2iMt(3-D z#Lia{N2v?7({0oihW%@_fGYv0ttLpo;-2Sthyd{f5dQyN!JR*{dcy`wIj%+tf=BbW zHr+acYU(Xz5so`6Dhoqwq0x~%&+0RgqH^8?gFp-4bivEKZ zDU|7TItY$Aj2mQp=h>7=mSlk#RymtoIJIT@P3jdcke&s~9eJgxFgG!)dSzD?v< zI%?==51EOu^xBPzq>(gY$#bMsJG*hxMd6Zq9>F1s6IgCR?I1Am9H)8e1Qb@$?)S;0 zJjfJe6jD4$Y_pisI#>O=jAr!~F7|SO7>{!5gpUFV8{$af3{E#Nv{wGktiT3 zb6QPwBvj*d|BW>SVfs(f6zypRq}{G|-7ylDI&_{9yv%FFXE&G){KY%iTp@d2?40!3 z$rbzle^!;PB$f5fEg_TcXz_qm(qRk)EZYfcbtiYONH--xj43l4Y$v?Bn)Vy8H99f_ z9@M?OnLHEf9dqlLTRIVQ$%p(m3dsYvV!OT%?&mV3eLXY$+b-WN8m7mPKB}%JqWaI| zpP_OTWX2bnAG3y$d(0@Eo9%hl@sJiV0-Xjqh4^ZaA z?L!?8_0IK&f9;( zi(**;^1`1E;y%&KEOL`q7~{0ls6f0QgQtzI6Yy8?{w>7x_bX?M@ko;qRvho+L!lYw z$6f5g4upX1&?#7Y<^n9$fA2}AfQAMRD?i01-U}0+J$&$ln7Aq*&8Mm16=&;?cdy(b zCH_TfqL&$Gv;f4(AVxR7R-5FHi&G0%1V&_^exqlNS()XN#$J~i3a-ex^m;a>Q_?Hr zYs#+!-`UuObC6{3VRCi~g4sz5AR==pn(=6=_arAutA6D*KvfLQNzB8IH*jDvagJKs zxh9wL1mc7Wow%5H6Osqt@0VB$>)5RWw-=2`m65g1)xSm znUqPl7FA5~QV&N73R)nqI8^DS{Ew->L`L^YvK>Xkl=Vy?!@#>}D^iBspUlqF#YBQ{ zzYfk~r$0E&UsRh#fKbkdpo#;|updeL=Q1Xtw|5fXe$O3;5SlNm`q=l+oXI}2=tAhs zT0J4ZD5PB! z>I39)_k%Rk*x8=bvv5f0Xazc4d|c{p8`C>ZPCx{CU7w@a`p}Zs@aO~q%=Vr5tX`dn zx(9h6DTaEIFS49{+pD&BUTH2Tu`4yDzb19));UM_!(HF8&>zwO6opBUeFEvgdF+-MVH`;*=a}hgp@ms)nM$&Am|R#kTI?X0W&{bey^K-P zeUqS2ngWnELrYs`Cb6bgX*vaoFC;HsGGFt1=bjw_00pEI9X?sotcovqk5st`jAoMv zbT3pZI7(pB&sU}{kD{jJ3F4hFZCwJlk4Y4zbQjLA5w6?-&-^Ff%vZYTw~bG4^LDtg z`rSQT=&%iBAu+C$R-OVMXSzVO_Bs2Sv!-Dk-SdJ${K3u5#?FA_7#gI}an8;f(g}Tz zoi(H&jsgOJpHJqHd02Eo<1UGL5dVTpa1nM@xT@Ay58~!v2#EM>y>ki{K7(eEhJjx@ z9xad;fUJ6M$Ibn0=}6YZYoPD}3WX-Nv9K05vO(RAf zO+Xk$Dhsv+B@O^XZl~X$=kghc!bc#Ta9!KS?qfX!j?~hot_J7v4TcFmhsGE9J4~*c zEgJ%04nniEUL9i^6IiA5Wg9q1Tn0=;chIg+|JhXj8`}~PPl5tFB}WvvHAn9wqoK#( z53AOiZ{?~9F@{uw1?%)G0p~V!(EzO&k%qguoV(+(^v{TYqiVy>ZFl?6#kDQiIwj&f zE<3xG5R(3M`(_7p?MZoWi3b;ERn7xW|3a-}mWb+j&!f0*ejIC=G}Dk1!Te7X8N7d( z(afGJ?7ow)_zK00{p=0{QI`cxVIzns`pl!eYX;gPf>#@8;4+7?*D zb!3>o`-J^d6|9ul+lb&85&=&9lb3sCb*O$3x4tcW;hmH+s0nX|pljJ&gm}HVj-I-B^2vn7m~Ni~d0xc_vOWSpDDWRF_F0xa1FHfc zJb(C8c8O@qzkem{=edMTs3C`_o_e@;U2%yE@>bF55FAu<*3dZ}Di#6B6exv(RH~g$ zJPryf0(*lT++9hlT-MsM?Z)FD=X~qdu_!bkq5K8%!pxZhzGEe`i;sbbDw=fd5uJXt!^!cGfYq)KjUG43ub~`)&JH zUrc^D$ZmjMu0N?_(xq_A+6l7!nZJ45wF;!SUD?iaG!0L@TsO>`l|vxB3cUQWi4mIt zaxB*pNcZUaRy9*7{0|v)Ysycocbps@ySxJ}qk=&q6~T+`C_q{L9?r*H56y@m4x<~-b>bp+jqwl>|d z{c<+@Ir8W`(-GD|#VkqScAobqUlJ1EW6k^u84mMBRn^Y7Lqe}T10g@gQs&XrbB!}->@Ii6>aKkrB3x9ZT>Jip{DTfTqzwNsF=k1~Z)Zi_;7(I47Ltyh781wwJ;B^0t# zx$Q7dzc>rDC%Sgd&Cg*#B~4Tk%E7gJZy}HFx~{#;pU;wX18fYc?*QA+`F1NTC<8u5 zCkBRL|6F}1>a>a`AdzhEw%0B`X~1&+03(5n7&xAjEBoYv(77j#6lq} zB4D%e{?lxNyr~kz(SNh|u)g3R!&j0BARl?hDgNnok5CVMD0T3qI=VICQXv;g#R*dd zq#J9-^?H}g={D3|y%jUEbQUe4C5FkCdZ}Q^r`|fk^ALlvl?(Edv+1c5739l~+ ze98#4SoEuz!moa$XGLx-mYnk5s$H&22~N@Wp%#JrQ5BLe-R3e0=Slhn)KD=r3n>w4 z4LngX!r$0j0cMAL&2(dfCsua=`!ak8+nm*t;+YfPduJa}HsEThMQ&Q745;}O?CIm& zo2Tn7;d=qi+~pDe`2CaKS3xhK1lgZ>O&_s$k`|h61{YxJ3PGg@TI6^pjW4PIc|gW1 z?^LIXlJ?Wkn|n76G515U*&KVV^#0xVK_gF#bp&S zs|?eGye=SpPEWZNn$Ybk90~61~{MPY?519&-=a`oJd9+D%3C z;f8ibde?s118M~T6l1o=eh>fm;&vC?7ord30b?-PyV>$ky0zk-$$U2pU{g);+lAHXI+^C4+Jm1y0Tcy&1V z63~UqlNI!HTs!YtS_0zrp57WIjkh)!1IvM)(4Wa$3aI6)Nb~`NO)cz2Xv7^9(Zn) zb~WTdG<$iUTLN`I5lUA|CbY|jYA)OTegwuZy=DQsHL+K3sLBLQz`3FHq`Bw~hPsmRM2GRkK~-kCXjdyyB3ZCBC=G-~YKU?Z|kuw6;fJ zusB$JT(EP6AA#zY1ebO?jAekSB3sXXPp#`fs*Uwi70hhVcF#BQRg(I?O4{3lyJKZV zO44j}{I`(a-rH7!ipb~oWb?cyI;xoHCgr6RG zKllnEke^uv>~@oQ;+TQ`3&cmjg}_Dp&xH1y?7j3|ubJ$i5x={aBWOw+`><{)v#FQ_ z#5HN)%^EOni5Pa59NjTo1ULjn^t$rsK^Q5BkMQAt4k-QnD)4sz_q?I$BCLtTGb$@e zv<0t&_r0n{lC4Vx<%9nIJ4(tcPC;3ki&cFUvXS?}pjU@dy3=$#<`#VKWC#43+mu(^ zzkK(~BMIxV>KF2m4lr~Wu}z^qu7NRB4@M<#Vkjf*9It__5)kJDISB%i@@C4sAO00A zk26m6&Ccvpz(9b65B<`*0xcF?T;qES^W1xgQ2rH4%vFf21Hlcdw|Js9n^wb&!Dorm zF23*5YRGOzdUSn7zLUf^u}i#_nfre{i>CmNljBOnKi7izbv(1*8_4a0uI0sKStxuj zGT5zOAf*DIMx29Nf{VY4BW+19P$QFm?*l6TQv8zSrpFce+z)7j%Hh{kNqWwO0nb%q zRY(V)r@tC!*D;0Cf1wH>O^(~ZNn9(qzkon672{n*o8h24V!BfR9QDRA-bbfVX^%mg z@01p+BeC+k5OBi*N8!NSUj>ZJ9!7ZwT%>VTK%V=xe+qw0wh)-qECri`w8v`NqeGj? zcQpQu`>B0qM!hv+xIy5Ym#y%@`3H^Amksy=VM}aW5ME&i83Y1L0<6qO;BPq0!H9k# z7>%q(Xz^PnfA!8nrjK#jWq`4eBYyRURSWvJ0`P`Kzap>m*^>rY{;w5YTY?{RTMuaU zeF~g-0Kg?ZS3GIQf7NWzAK2FPSZPNh5jQhs58VLInHN(TMUZLxfsKQxJ<(I>QGkNz zR5XkL>H?_zv-v%?&gU6)DJ_l>NCII6lXOwPRW0~7V`EQH#k|ZCZ(}#N*e+yLGyqOI zdfg402fC~BikGxej@X2COO5}_y%03oH2<9c=TDR%W8DvQ7T;IzovdzyGYH4DSS;}1 z$5;f)zr5xq#fY>$r@QjV1yk>^pq3}x{!ioMUoWARDm5(r_ZG3$+QLtH1$YrD;8QRl z^#GiJOwa3sejx7I6ftT_>#(NGTKNU&=#Z;a;0`Ldbdyj9WT|fLSNGAgW z|Lr0XTu49CDbhdTe+S1%i_+q~ui)*#ldrPg(j;iVXR;~7>cFa7!uUg1q`+I|MN$v0 zf)$A~<=IN(=rv&^L+a|fC+5^TBj^Q@0E2aYNxV3rETkiNn_6#ZA!*=!|NiqezyXU9 z#Plj%vQ}D${4Y0pU9$pRDL=9ov;&uj$#+!aobIgm4MPsc!R8)N2laAuwFZLR*leR7(u zq4%ES|IE4rA6^Pp*b5;Ng*Wi%_~Jx*^u)-Gtvs?kq1Nwx)VKMcw_JSVf14-c(EbDrzAgYOj#(!sYPM$ zG98m0@HtqNYcT<2W~JAxL8!%MHSM3vV9`vcK8wyiOiTv$B0X<`mQq3fcq#}M)uM5p zBExLhpBL6^kb9X9;1i#~mw1>a4F(EJkGClHJ?Sc{d)G602W+H>7hfpwaS6lxK;Zjd zgxg7C%m3V%IHbtME5yGC90#r>7v+!e0R>r%`&zZsXZ!O+&b@+1AQDv$R#~(G_s4xj z!}TNnld`^>Sm3FR?(u-@$TV*J_pM1}H~2J{UX6c)w?Uu(w>wgZ$O+yxXeOF7ot>UG z9I~BW%$-K!=#dwr#Ja>~;dkJlJmV5@{)nwuxN)Ae9(V>g$RFjZW>I^TR=sEHUNg&J zKi$mOw-*vo=`NRLhv-UvNBOg%`yjDu0r*y_G+n`0Du*Z|A`!Ul}}7r~s4 z@ttHnjlCR0*AL2=Uu)w8XcUX7&S+{yoL({LMHY_8VgzyHoWz@;4S?Kh?ZN2$HRzY# zy|at{<-}qd3V1mN16+|n3D)j<>R|DnV|N>rSv%^!#{h6Mogvn%)AIH%cvBH_X1*Fk|urk(CcXKyP>*$-!x(O`FCfQ(u=X1i0fmt#-SjQZ%FhzQg8z6X!bM^ zA=1PDIcYg_rQRvjq%;`a1jNLX9DQINc=RnsAPP8t8#r(r>?$fD68+MEbBiAD0GEi# zCg+Su@Rs1X^0X*!cL7I!0tfeqVvM4wxZpw!Be~seG36V{R$l3`Z@2CLg!2`wG=X@T zSbH#=3plVtINbC`sY?=N4+f@yh{oMaEwvut(R~lOg&klDG7|< zySl1>_@@5mv5*L0Yqv4h`!BEicWutAb8Ms$uGt&JZ7Uj{;GDzl$eKyA+2$OHs?a`? zaM4L?<|4%3QYmPpt16n!=33XsXWZ6iy3!ZCEl&S{3(8+Ak@{xRI-1aZ-Kwb^ZT8%r z{Mp$z;Yy2CYn52fU%w|wo_Or(;>dD_X;?(HV*K1mR`$~UVH~1wm+Q0{^KFHO8ovm8?NY@wb+%j?#oimq0ntuw& zl&`d$JN-0HyhWz9R;=qg{(7u}PJL(MEYF;|vCf=PnwOTuyl5Ar9jq^|+JLm~dOdMT z9d@elOnu!z%253XOdi{v|Kgfegi(|QzXtzlT9M)b6N`DR?^mB1TMaE&SI6XCy}I?y zq-7L1J&iA_;Z|2(7et+7z*{6dO+B-ad&7uEKLt!tT=6 zg9QdU@5gh;?2`ny#BZ7?{ijfjE>Z&6eP-tjcZV^+%m#P_ zNFGW~Gi}e3rpq(+qG!Rvu2}KRfD%wU_ej#q^UTh^HgB7=Ksg4`+A&I>SV;l6 zNNyk7mL&)F{0gz4S2RaCCT|5iP44fe7JguPe|j_*BDWXPzj(vM=h^BJws%KxNEta{ zd9!R~mvgFbFRRb@Hvgg7q+b!}+0%#dT;pGk=kWcD=sW9PsH$bBcV1A=@FEnuDEtFyqz-lO2elM>1Q(dnsSFbiO48(1FX%6b)rXOpk3ZUR@nOqs! z=}kA?-_9A}F~g#1p=#SLe{^%tuL0D^wrK|gMZiNTUqGOqG~(!TtnT^VwX#qVxOFbM z0AC9;l4_=^7UhygvEH`ZHG6fCGkFx+8d~ea1uZW=oNt8k@6<5skK5(nyc(}r;dan* zhSB@NF{3$O&64sz?E7dPgLvnS9DUQPoLzU+Gf}JBDcK?jdY*eoEiX1|n%h9U=^9!Ep`1-*-ia%PMd2V9jH~qn z-zlFbhHb|UD80?yESl8VxwsXzB=|=&CTzGo+wl>L1R{@mGjP7Z;3dDSp`PuTGAx6F z2BtabZN+T#(6)5SbJDKM?jgBCNLRh!+m9vfxM29&B zL{RBgbbw~-+p3h_eqW6pww3c%fxbqZM5#jYID12yGJKhT{jh3cb7A}M+;o`?eM&H~ zeJNd~+V>#;H%rVvs%hM8?{X@lcx5u!DYuE?t5Nmevbt6}*5^}h_4zQc;xer6W0XBv z(*dNPRi%tz`auGIcBLLpCgz97CnzFT4BR{?4xrxWK}Ao6rxT@lpQ^pwJ-3#nNSW(s@b4fE22 zNw5Zip|?YzsJY$_S_81Ce648vJGA$zKy}%LZi&)@Do|JKGfa9I!m1<;QyVQd2P_Tf z13|*oj!~ZSb$7EfAWj>5v(gXdoh2H68GG8hn7rAhZ#UqpvCX!8-r(>_XPB8wBEMhQ zKZ*q_@;Oq&9^#;Z%&D`zC6oS!`re>wm(%6eRsuAMHQ*9jpGqI-ZEA41Y6ex~01}#}B21V0&^4W2jsJ5-sU=8y!l@8Tlu|7Q3#8u(&mkE@-N7ai5gsPe&-> z6^5T6b4){5@~or86cYVPGjAteSACHFMzM8)>1Db@du)H>uYk{rhdiVDFP=>jAH3Mj zTww5^?F=lulEuE&bjxCtaKrQH%9+{7NbG)2H7k38^3B&vr~XK4BswksyvgxSDV@zQ z_j8OJ;gwuhWr@D(7zm%O_3Zde3IVsNY6p@_WN|UmJ*MD5I*nz_hbQKSGHI$VBpVF# z3VNjfR%}gV3Dq5Ms|x95aB#xPl{$MlV2Y|O`3%Ic^g)HmnjOwN^$z55gOs$5@pg@a zLR(KSgOlE;uLY7G&A+(XxP2a!N`$w;v0$k^+Z)93F*jjG!@$!y7!n|)_|_vzoHr_e zo@7zegs}}|tB5(PG(p-eMr8gDh(H3y)4j=W?a>kE>2*b~yd(=y{Ha07G`7#~c(Qzs z8GNLu@JWU~pvusVnYD@Pml3@(Ij`h0*wb$*wvON~3S65b$uh=Uhm7VQXH6=4#}HKk z9|PC|FpuIAPM3wB$F_--*K`|XZutYBCdbn_cbAG=swe1JTGrf^%m>d#ktMOO>9lRw zCS$OV_6~ zY2<221qn#VuKY>{dBltsuP*WIph1=;cQWFvBA0=Zh?^+Jx@{Mz>D|2ls=G#gnR$_E zh$BxfEvVi59?UyJJc-Rv@ALFuyrSM&A9vn$C&86~&wdAXLi^bu4K^kGXvsyiIqZ$42H(N zV;??2C;48*sgdgBTM%>s*~U_>uJ?Z0l{j+*YE?aUecIKGPO?Ppypn%8MJCKpAe(yJ zjnVhpGb8AsHR^!N3V$C6g_~A(=k1Zrsq>mVt#Z?^X;7i$-Q0d*t;&2!1}`&cL{^WV zpjjiHl8@0E<`u(O1!|Hcb0%a}AJ7F^3d9l9iL8*&(2 zlIJF1GQa>5#F=iyJ4b;5GGI}OI_84i31Abf(oCC{1=c#6tHHL%WiJDO9*bPd< z3X@Y!F}PIxV~&J-`0gB$0}bC&7%Lx^cZ_e-p_O6Sw4lpr%F|!Gd0Zkhgc@hiwYS1r z2SZYF+Q9kwyylq&Bn3x*jWz~&II32R+9~OxP*kx}a;EwdPM=FYLyf8Z9BlhELfYjR zCSGjA(^yhwgOpxbSw7>13LHKZgTj2TsG;%r119$s^n6`fA0c{cLdiG7jo#cp#)M;D z)mr3M^UiDVXmSRADDjY3NkB6yW=%}(%|s_D?^wHlkD~jj^(jJ-yhGvsxvDMIl>_jA79nziZE zPMQqs*BJ&DE*k$pQ|3w+27i@4zDbU6AlQ%FH5t>nfW=(N$u6!CET1W)Q#25-UQ`l! zk-d_1#)>XCUNL8`okWpdTf_M4A{~p4Xwvl0pH%RpOxww}jfg>N0AUI!%=KSZCGqL)R5RmDG zSj?mVfzs>k^64gng(tH=jF$L!Y|qnL@db3THUdr+iE<ouC+MJ=y=P)$GdZ~WoOlJISU9}26VZ+=2|{%$PTKOC zx$?k{s&PP-RD0JRZ^~%t$uhX`!W6AA#W>Gb@_%BWoLI0%rf^79kM9j{4yw#u8 zdoyi8EO|ziC5*ZkUqRaU^sm$ulcUIMvl$Ab*K9_UCVt_slC{Y?)Yd?PxAWPei!ik} z4EA9Hm#R{nq)Yli@dhoNjWVg5ZaY|zze}o%s+l6FBdsLwVg5VfBo&=X= zd;v&9CKEGNAO-`>CcPyG?B)2tIx+leO&iV`gqXfpy34HK|4eW~i;tO+93*}Z`~jY;?H zA|YU2#qMEQ0pQdZ-a{&A|e$POztGV=%51FtG9F-mT2B1!rW zDE?6K*SR*C%nFx7d-li8tG-(eV^tOKECq%4fM{6>v+o=b3@|p&o+;e8ym@Vkx25*k z&j&HaRw%D~tv46+=S`bZ^<;s19D+}^1nbqcX-zO37c20GO)3c;e}%r5>l|;pH{8Lbji6iCnLF#?8Ywm z0zgc(5B4r}Vx(3*Wzz_da=5`vRSi!SA{wIkCxA_T$~R&4_1q7^{==4mI4ig8&{DeK zA#i2r*5gQFT7wzjWdT7g8cKKH^IO5nf=0*YSu9QCdQPu)a1O!BMO;SGoJzb6_pl-;|Wsa;yJn! zuK~+r%#dNy8xUZ=qgNlLJj(;v z0P~(rL97kCkdekLxYIZ^(k-7C5EgJ3*XnMnmVV0ZbL@yCD_shu`P;_1u7>d6QbZG8 z)~m>~f+=+)7`7@E5rw88fF>mv6R{9^qMG&4F3tjbXsOInezqt7>hm!(;I zz1D0s_p9a*M*BHlGzjONfo?~8HavvgR^8q?n3;Wt0$pASHSY9o4})XPWbFhxATnwN zGoQBjx4x7Lhby)^57M^kZ+NO<&yF#nKb#-gQco#fDdc56iewi|!JA$PEe!g)*d@bf z2w=QU_7aX$Z)h0il4Z2%6f73_8awSJ8SsihBIe4akI`dp5AZSgzJ>IR*$P{y8E1y- z0CvY90*Ku**-s3u^lg|eCCgz29E){qLF|}U2+P}HLGXHV7GO|-!F=50hnjPIO2qHL zJ_D5W4r!t`skLLQTuI9UEC@g#5Q4_NzJ;|8ETtisa5jFpZLncXZeguel<{xx<}lq- zh$);4=Mha-o@I!fKav;v=6P44?;;CB?eCC2y2MdAPO}>OAc4*MfU){E%`R=bFZ=iW zdeU$bc3yQ}o@+T>bZ)YYx{%^70UE1AKz7}`&b`;Im_T7?==y@PbsBlwXImd;t!msR zvT$);lq*)T&}EhfeU{hqh&Ve$L7<>vs)`l<+~-?ENW;Q5@$}(L=VLN#DVz6wkN8Gz ztS(Z&c*6>{GG!VbTHczL@=Y@#n_wfa(uOw}0CV~wY_>IHmJj^W88f;z`#7NQ(T3A; z7!AgZEy8-{``I=FId1mV>MJhJ|Srgw^hlkY&kb9}K?@2?5zK#1n z?|ixzz74o#iTSH&TJpH5)7fy%E#|P4V*O6*ABqy`)M_`230s$#EL*_mE;|kNcbnzt zemR=vzHYbz1J)EUEatL3pEid`TbY_-u-UcwV5}e2rn&3@tYJV2xrG&{>Dve58??7 z8{y-!(80s#BQ$vQTKg9Y{IuHK{j~()d%|vW5ZylTBC2c-*55|m*OuBxA{%ID z3@osZcuM|*o`B;6oVGN5Y~NC&xubKz26O52u{#weVa7#{;IX?>4zO_VhnfDe_Asw9NO%I!(sxmbmvS zs5d;MGwhZ$9_y)1nb^3G55~7F$PJvxvfNE4=rnUKu+4M*<{v}y!v?*n67%8W}G5=Rc?D_lN1=@6(H#NkHQ-`n+Q z^yg|xoZs%3>x}tlVSjM}7nIkdtX16M*JmR(m^Y81~;Jh5Wafn*DmG;z7#%t=`V+mFuQc2HJyzAPswGd5ZqPZ z!`wwv33l5K>(~QxbX#;`0@x38V32EkzPX^bLzIf3)+fxGQ+LZSpJyWeDsR4e=NRB6 z>q=75fSqttcN6gax!fT_5*oH`s86LG>*ZiOV;&oDzo)62ny^lbz_v4qu?BI)h=0PY zQ%mJzm2cGa%5!5rsLV|=jf~MaQE|-2OWM?-@@KG~Ck0bzBE9F?@C}yT>Jc(;C)&|p z7#&H9Q^kw%d?P*(SsGWGuz*m&U)*M+&7?E8TM|fv5Bj(6lX)}WB6Nh$W*7R)cXodm z`dw+9CJ)JFjCKh1jyb?moTQzh$UK}_AehXot-3o9Sq1^JkrbOI&KBSK{l9_0KANy& zJj`K4xeazDLJJ#{^mi>N@=+pmK|++oarQ>km#Gvk7UNR@=i1ZT+GL7S+xMA>S>>%) zk!tgT&21N{Ugqooldg5*sD)4hL|QKt6ddL63OAVfrHZ?Eoo1Y-DInptAc7KoYsT*m zze0oq2=<{mYFv~^H$%yIb_RrNO%RH2+P2xCo}mW$Depm*$syr>iWOb$gJY{&>m$k~ zn;8%WfhQ~Mj=wA{-Fq5s8Cu%#Ew{bLhk*5gDq51Hf-g;lzC)de#m34q@ zwRvVUWdrv?CE0iuErm5*qD8cYkBDJ@7zYx6R4g)DhoK`y1F^~`Jxz|(QlBUv9eh2m z!Qk&&y1x>%nRY1lNGU-DiPg<~f5a!ht_qx^n`xoY=E3jJUY~hXfWtDC*de-KYNLAh zqKul6vPOfK+j#vf${l_eYtUld>=@)-p{n({$FIiEyCUcw8-E zGku-*rY&T|1LBWhYY9k4T$}!5zsiuw14hnJJ9*|A*>i_WmS#+639~MWdL!Vj2Ejt< zJQ=hZM%Ffw3z2XFd{%N+W~ONXD_>R`*d^1THp@T@Trva|2YSyzO-T=cZzV&{r?gY3swG|7f^wq_ug9?mKk29*=?0hE>R{HGO?#5<89CH>$y z%Iu}pf;1(G0zzZbalCUAj$%hi4DfuYywrOxc|tEiAJ9o^cwtC<8e90!bxB++B|P)0 z%efLo{!akU+HI<*b`4r|nvKHZ3Et>B7L_rwp&N(W(0qEkmkB=6-c$hCZ#Y$N@<{>xb$}3!Z|V4YMhf7 z%r7=J1v=;*aQyqEN6vx4*~+%A*w3i)`3Qem284_}fq&lAw=V(*iY4Qlh7ivR!q#a_ z-3M90O?QX+1(5U1o-){w2@06c`jf{|jBwr)HNZUs*IhRgt_e9W_$ugX&ApnH*+5hA z6Nqvk9RTWTC!CYbx0M{Wp8F;>q%cR-L9bp<)kiacpK@=LWfL(t7GO2+9xgGEVn0m= zdmNqghAgOK*iPzKd?+5ZvD!%-cva~KFH`djuqK~ZwpLRupo-3Gws?!=KBj|#K#c`mr=xh>ox*Q_SUoLlGf=SsotGqmFw>R)gvp4VlJvw-EmJ1aOdHa++E zH8Tbe1MC4XV9wXD<%k$XOaSYVE)phyC&xnD17alrr2tLlR{^d0sct zt5iNje!*3kd0fMIK=t>J=eq}PA2hgh+>#V9@?XWNo{BM%<7c&N?X_T^;!=}UP!)erPF;RSVst1JW+{o&l>qJ^Oo=Q==0+3+uaaS^3MU!DxcTk0s@l*Gn{`a)=twB6% z>#1=;H{rKuL$1UJkyclWDp@&ooxMr{Itv+G#tDgQBy)I&m$<|oiG?M3bZS$NgE=5M z9iBH=!|bJRcQzzJ1pF(F>~zKlNjGIA*nnA3#3E6e0Nfe?BUG{`&ds!?%v1lL@O0 zGeNJ9Qn?zT}BD zEIphncgV-vQm@;rfZ4l3cgJDdkK^xS$Jbu}weraK4(D4&Tk7S0-~RQ3{k_#lhuR8-@o{5++m012wv}QH|3V&N!Ucy2i>KoHVN1QrLl3 zkVG7kbtE^%jX(>3rmZoM`fRpIWts$4|7z(`9xD8`+z~mEw3gc%raa&`rZ`mCk5({m zUgNVb77QvB{cM)&C*#+MoxSgUtwN_1Wb!J28;qe1NwXv*Ng9ttA*b|6I16 z=4{}6y6XA{<+H?G#4Q=6hnU-#>(gE~Wh9&=C)vgB>ojxk^0cvnl2Q$tB28o|y4%Rs zIPjF1oFD90L<{G9hl}%0IoWLD3p30&er#HCZWDO-erR|7z=iwaFxpwO5-HCC#+-PG zbhGwn+Z~qKkGeWXBL=nlBF#ICH87T>%Wol%zFNMqykq&RzgRf9wyYnQmR+#{8v;PI zqlij1Kf)yIz9Fl9j`+r5BeWOP+_PTRyX>5FJ!c?6h*7tL40cf4oeL8`b1AG^Jmd~| zq;}MuJ(AOLEHcX2yf*1lke7`4b&-eSH^pDxM|HMf+$GJbv(_)Js$cTL-;0)f0=-^U z!I=+C->k0@Pa<@SsjfG))}JZ9+jy`syy4BK`LH+rH9@KsPs4#9>kMgVZ?ThposNLn zHdt*kc#JYmt9^=2#=e{IEKGdGk^J9|+0iRGii0U9Va_`zx6c_^dMq?3f477=m)Vtj zm0PM#u`yNjEb*6Rc}+Od&jDJR(#LrSy;Ms4jI{N0my43SgZJWwI;lvnC%C-T9>-BC17)wTE?wyL1fnM6Ji{ z-7V{#EA4)G1>2e}k9%i!iQyUZJN(R~pFV0-ckj8ZvEa|{c*#*%WX|rDh=DM|=M>IS zzmO^0BZ|y1s z!spL$di#hvcs}`PV{3k+VNpc5sNisVr5PRMg2>$AucUOAFd2!@QxT8(AAfr{0ENLV z^Vc2S?$mRZDVEi^GauOQ>wAWD=BL zyJep^8mm{#6xEhLEiB->IWpm7+%jN*zJZoxPexkdqPY(AesAn5mkkyPj(xA&&iC8BnE2E923YiVdjbT ze=+j17_+r9Q3YZjdZOpmXydscX?P)nj-PFcXF1MiH3)XNk$+);3x%J1?u`xVjO7gK#qiznMV{zE^|g9hFSd<7Y^*_d9P ziA>mX_~ekATOD4l9Z3yiy&W=w#TNd-T~8qrMTRYd@{>bEB(gPS{6cI4f^suI06X9oLDUA}^^L z7q>9kcsdvb@LrlT+5ApQYPmv|-uW>j6@;ii+yz5fv5Y~#Wyns4`kM~nX^!V^lRo*4 z`|w`k*j`L2I5X`T6?Qa;Ux8Ek2hvga<-4T>9q~%-oIqX`PGy_QbWBHj02?XRI$ZdU>MFH4JWL z3FixZhabFHzC@#C(ozKpkfI_I2AT+^S&=6Bm^lsdGFSdkaWrxhZ2^TmpS6RAlk7Y7 zKM*K_-mK3@3!ks61>X6AZ-Y}ZsV%z%8a9?3={|d(Y@sT+j3ntnzpD|%qi#@Wu$>GIUWR!IDg zt=9`{+lQLBgv2#o(7S>EI{_niY^@(@5YH;l{|9d{?GUO&dJ^}biJb=m-C<0<-f18 zZ^xCLi+HnYxZdp5<~$Od0bPbyLn7vz}Ph?ug+1P<5jdruBN^jq8H z$gAUDOis<9TEe3v?Vm93KfbY#$!XtT*NTc;r|}vGk`DxoMmZ&O;JF&>ScM3rs{?9L zzxL5GKh~O_lic?pDGIfPA2a9X>X274PP{k_{^wed&Xq#MD}#n#f>{aEbeh1_uNOXdcl(ec1mLm+fe zkuBX4ta8!kXC+6IxlQ?IUhcC)kWEkdI&+twQyP_5ke6^4b%tFYgj$eOKj6F)EJL8{ z+;;@=O}oZH$t?T6=h#+`5yPBcaPG4}?|)EF3F~G;te&>xJH}We)!!Qq_+wFYi zZ%y9w&NCgl&HjMz<9`=#-@1E%^9K6!!#uu%(3LNCOJ+-#J$UN&vD~iytpEHZk<*X) zyu^{5Uyr}DI~}Tcq9^}fObFMnjtwb!L9sX0KR>xL1)Nw9(Q8Wl%WiU1?R75us}t;s zS&ZN%NU+;+25ht<_3A83C()+xyOb~Y>F z%cC!{*#-K{57P5g2aN_VI~?6%*U@my>gn%Y+UIdikvlz7OvCtdY9Ien#S;6rJdyKo z@E7YS$(S=xZN5vK6$dJ~D|iQD6y9>TMm^0bGbvIW=0iuYw7mTO%t^B9sQ(H7lm3U4 zVgiHD&w994$y=E#>xPRo8~uIkD(q_P%2C7JaB}(tCW@^EyV132i`NKX3;ItjCiCoN zj;JFgA$M02(BGS4D~;rgGinp{12dE?Y0k-^IzSIzZ(a>9+T z8*Uq#7bTUNeDS&Cc6T%Xq-Dq5cg4;6kG~madl)W<{`nzgG^U|o2>j{#ikFdFhZZzX zU26%Sy*;BJahY`4{<5`UNP(WMLG7UDpvH>niag70>6}A-4_|!y0eK$$;|ga)MEd<7 z_cQKCce-(2;s3(h&$P6>Ek%4v^du@7i5lq{!B#E}$qtDWlnyQC`Q~j7-5(qu(ioi1 zmmUlp92l(5_s&NS+<1}nBE)gtVYOeraMOd;Ii`zmJ?(=+7;17jM5gEZ`Rm5d*9Z9e z(uV&GZw++*Dfpw9yvrmb>!kf!{q+6b`mOolwvQ06Q7%yUiH$^q!-|K`9zJxq_;5ALX6Uu1Q%x43 zl+e=XsOV==vS&QGRiqwCvr6>JxyZmAZ^^pJncDq%^0McYb*Ge$^pvyT*m2nkIW5UT zNnWY29{%n_i}gKWqJ5`zPv43>9LcMFav(mr$;me6@gLD((PN_Z*D_7HOq6~+d`jlJU4hgV2v#-P8J=hYTX?--!ezm7NWcmfiCtgZPgRj-UAs9g3sW; zU?bGv;OyY`FFjBH^#7FXFB{%G9NBu*+SxAM`<9ZgLa~?P;`Z>^FVoe4Q34lNj#i3R zWLLItD;AICK}FZD)V?%FTYPglUVW#!(dD7Hg?Eg9Fo}sRkS#+qzAYp--@X8K6Jc*T zYpF+IlYHl1mR~k!Hb+)!wpE)? z+sC%M*2T|^TP-67!a15f+pOoZ=Tc{Lxro;$Yh9IpseX~4A)cF4_l*?0Hf)jx!{bl3 zTui&Dd9weVfkax=Wko^ymGRVj^?3ajX@ zh^YA5m6o_>E_?ClNg3PQW0B?cE!W2ogRh$Jlv_%r%q1AaV=u`m;_ha=%#eUQsU6$W z=@Q-w#KJ9KKmKLWZ}!>jd({(Ub9QD4EgLO)}4sn}x`SSzIGb!AB93rFbXA7a7> zf#E;(7=N+~9RKjc_IvjiC&Z)fM>E6diOFjI%f?~|alr|J@FVa_z@uCvk7$ahZLw?NSI?~{ zzkhWheV_wVtxkoI-0DPu17R1!1fZ$-wVkG$Vg9k-V}1nM<1L(-E3?0Hte8(L41M}@ zaV-WdpvvR(qq^-|?wo%Y1}8Y6^2ptM!DsBq?{`@onYxRaX{w(*SC*IO2do>l{4i92r;-fSe49K_nrf8?AEo_Sx5apjZc~i8 zOYJNZ8}y;>e?`&GwE84(4(VD<8Ae1cDQJmsW_xozH%c!vhzS>hCH;Q`(d+X6S0HNW z>k7n}CVI~tY^^9LdSii9Zwqu{;1K>Uugq1A=79qv8*3-65VYt!>?f=pprOh!f&?c+f*`0Gb{|i)%n!JQ%PVQUIjn{~#Z{gjgHc zdH{lpKe(eIByMQy;~``LO!-d`KLdareSNS7>|${8!@dJ2g?9E| zKOz5Do$vb9BM(&mqNTeNOxJCzSl^zLevo)g^Bn}$nH!xfRjwL!&i;ri5h ztoszaYR=vYRZ7}`KcN1_8o>TgDdVwLIFjr-Y2*i+2?iNJYo#{8ePMeOcLtEMX>%wZc!soU zV2~Om0FDjB%@I8bZC2QkI%w|)K~yWE*@SSGD%t#P{52Tm?SKzpsa z#;tATXvZ>XpIMMGUMREz_So>mk2y*r24k{&2)*`sgyhynO38rZ51}bL2-3-E9CQ+> z%*GwNppm2gv!>dr%_{J=qc0l|ih`~oA8W-N7NZd;Xc&|_^P_5)7OZw=gygu0s12H` zr=e);q#!e-KWW~b%!jgqG!pQ)8{rOWe#le|6NH3VW2YXbk@lr}e*Hk9e1_gM=J|G=OS6Et6+6SNkDpg{7jHf~JGGJ7_V%!3K*k;`bcBI9vf z@cHlJW4kn@rF{ZEOwKifD-{n1suM)b()lq5f4X5J zKMCoEV>~eYCDErXbNCRX*f2^69KQ@%g|Th#Mxs~w*WuQ8c948U6t)-Rhp(36MyR1p zN*{e`zH;hk5J)v@MRd+;re1KQ3hD=xhMA_#em`MFvV$X3XQ(o)wB{~aB=y|_FNMQ0 z1D^62atfYAZAUI46|5TIwBLN&Rf*8wqy@-zasQ7!sxvL`DO^h5cfB*-Wpcxxjo*0E zW9xx$NA}sz+P6wyBX{sVqKZtnBiC`6dgxf_iu5P@R)2Y?3suuxURJwD)|7~tjHb3s zG{sFkeM3ZycYpG_UPBm>pIC@Do->}L3fuLy0eYFAfv;>KMd1-pnT(k=x7{P&u#P<- z?ogKWRqkm)Y#gS~ss%o-_H>PEH@!bqfk;7d+)imaKtaH<0JdyVFSL{Fe|2P)AGxcT zAQ#rf9qOo3#th|`IK=s~7g6{}?nm6iY2N9k7d91Ek}Bon1}pwExKNzy*xeV-R4$~R z59)lE>Qm`F3c-8&7+kI)tgEh*N7}4H^&5;U2;##QtKiTmzQjirSpjESm5rT11hs^! znr1#k0u#s)J%?|H4t33Csn|jqYY8W8xP4}I1pXhUzB~}h@B9DVTT&_Br7T%XrASD& zG^A{mNM+ym>|55cgtD(mk*!en#x5CTm$k^w$X=Ei>r4##-Fcp8KHuMe-R`~ToO_;g z&v~75F8ZF-%EmByPWT&Io<)D~_^>iR;Z?db7cWfk|6Cz3VZNKXZMoHzDZ6z3+vXd* zlV;^auH&nT>$t3#4x+~s@*j%e5_&kFD>hiQ&03zFaN^4~%Z}vM?lgrlAFE|?PuwQn?(MrydsbWSW)&-v#51Ub^(Jj7|#&5-SeV;l~-SFa5rB&yC zUAAwue_g;uBJ;hDS)RFP4OUH}RLD%^&hhkjyQ=o=4$|0=-&ZFpJcEhS<@TSJzwy0} za#=!sNnVCXo?G_4{cC4al6!>kqhhk+mL3PulUy^}IW^ta>GjSYOSf5Z(LSWY)BhWp zucxyj$MMd{hcZs@@)+A?k14j1zf-^j~(ymz1EYBS|9QC zk2Z>FwM0K0`8>A$xNG$M0P+0mN`?Q8nNdskOdpNmURGSLto3gw9}ab`TSE<%xlSeR z+`F^rvY5RYyvxF-vwY7Q3^K*I(Huq>*V=3#2HcJ=L)Depr_{7#CMX1Ca9L`P?Q);k znV|e2hM^JT!PR@`Q;G2QYzcb?Qtj>Qx2WtbWIg@oo0CajJ#f23IrMqq+)4*)-?HYi zLs>PsvpwH%ZZTP_;`#9;;yF12V@LWz_b&&6?zYlz+0X(D_X+NFvhR$6?cbk!@p!J} zzaJ-k9>cRzdOk~9DIy>2;o&dF*J||>6|7vz%h2keJtww*mhWX~RZ6_y4I(pcH%|Mn z$+Ry!u5tb1{z~(kd(8hE_vPeGr5%5S{4||WO#7-idT>Pc)882^xmd!jDYCrAcA2u2 zIeC-yuYo`dshCd!G7c-hDFMlK~4o>--Fk3tHw5mVO}xY{z% z%o#Ux#tJp%O4N#K7R>1BJ={7ycUjY-#yxmFq?IG?d0j1PF+W#XE+ zOI)p2(!GmjCEbv(3{mlEr4C4V$M%YS71|1u1HFKRu#(*9+X1`6bEtxiFZv-~A;(F30$FEv(+p_PHhG2!uP01wDHHs!^xkc zSsTkBX~61YdsW9SK1I_pT?)?;zQ|UIH%rnXN*=a_-9fA3i`si>-TL3X3*M1zoAfc| zuZZgS#>ZWPdh7eSZEUT%XJt|{>sMo|^`L)84veYn$C+UTb)n%>`iiNKzusc1>LeT2 zj;h_goh^^;3#3VXgE9}_tw!Ihn(`PIZbkpZ^Su6|dXaop@Yq&$^v5PAj&Fdks=N#= zIAG%LA0Ogaq0ynEQ#7rqk&bU+w^mFc-NQVN;4GaY zshj@IsHh~mME|?7AU$zJdwfI>Ev2;2d-Jy@TF*8`gny1WVA!qx)Npz9qiU?6CKjCd zwd;wuTCx>5^NZ(%9RY(`4qB;?702eKn`6q~j^IW*qz-?}=T2rIgI~u{25mP^HzucJ z{v%0*jQ%M2F7oUj$k!~ zf{DcPy6Ra;DMc#l!L$B}!`!O#w-5oYR0{qU9f!r2!^^PJ#iSU)`~GPcWCu@a`?i#! zeQmq+?7Qg#QyDPN`wm`=*L>bh@h%qvf&Qu4E;_fnYkxLf5I?%Sc+~cmEz!_0^BX*9T+caU2jD58-$jJ6AYx&wa>`4|_O0ir zei5_xm7A&Bq0F&#N zTjolqe1|^tkp)^dPF~V$yUDR3IVpKl-!m`*)$fef|G|~%+~E8YZ8M-7q9y=Dg=C91 z``f&hQWmp8VVOCW;2Ib?R*r#AbzxqTiNI`|RoMDC#fjsc($VA_Ix*Lx6Q`YGz5~kb zQr(t4P9Z|N@W>a1=105o*e{Em;^R=_DfCa=%%RIFgebM4e~_gyjT1kfb7`Pe_!f&U zj?UUA*k%!4k9O`Hor+t(gcmtw%@HQmQ&JN^8kfPn0X(yu&z>oHbKz1 zb=7BsFHZB!F<+Ort#)xz-?mc}Pbryp|2WWM!x~mDlO5L*7uu#f%tzq0v>BT}+k5Bi z99Mo%;APvUm<_3@tICr6kJ+DT~%MUCs(!0`d6SdjXOep`;G*(za@Jv7aeSBL#rtDN$m7Z?{ zp0xu$Nn&a9ulTlMTVGY)C|(g#wf%uLKPz+D0qB^Cr3#Cu1qMxY)BBXCmF3gNuoHUx z1ChgLNR)HRf7@H*jBZ>vkm;SjHcsafSSVP#Duo9@|ioZ@O| zJHaL`SJShpU056`6IOF8;%}d?I+?Qcicc{)Z#d$XXX&OCAUvD0KC(TH?}+98?Rq@_ z+^b{B*)j3Bzs`%BFsV|@(ve~XbD(1i;ZjRmg2$KVTb7H+Vm{sZijTxNXf|>Pd&%yo z!Y{`2ZL{+tHhO{7_|Ll`E$IvDK-WPT%U?-0SFfB;7FLO&WO#&9aH^!|N4>`QN**-gqKQ#1v=& zd&k4ufAuH3J@aki$Oi1)KkUmGQCrL z&*YUulvYS9djhWO%vs|Tai0qFMvfQP(S=bckhexS=NW8ZSr!5|>q+Xd$v?ac6{Y+B zsqx-U>}L?_)<*qA#39!oMh~V54Wg0x^|*n(rmYD0sK5IA{0DdDoCcu9PfLYqyn;sN zu{DD>WuiyF z(eE}XlVA|p>}bVVWVlRfr=Pq1F~H7~zksXEZ^BF6>t7jT4-=B;Z|>iexkG<`8Z`TL zCfV|g5fWHBnO5rgHY;+LUM|*XLL#XaG|nxUE|x<}ozUnW0iW;Qg+Tfj`4=jbOx?tM z6!JH9VS#o%3I(_BqbajfJu7=}B_i!F{!o*_6C!6m)uaVjnNto@#b8F(5K=xraKN@s z%TQSDO9-7=d8eBrqyjm8Ppi^To<6(qIrjV9xJvL?@~HH~V2#tBGRDNPEYI^^wt+VO z$AYUO5^fI-Kyo)d7y7QP*(eb&}s&6YnB;A$i0@={XeY@)|ja&cRG|Ji7ca|}#}o=F{fN^D5u z(~OsNc_#T>IkezseTlMga4z4cOmV;TF=+mmFj~{eBeVMDEal;SOWOAk+ zTb+KYM8;hb977B6xsf=kDD|pgspd08>Cm&)2GoG<_k6uNmZ=kG0)!1;w)*j@f*&TL zYz`2vwSGKJ)8oDfDePYprv}%*(Ve!)TCSS|ULJgrN2ewvw%i?-#18_kRb^N#I;@Ar zc}2iyUY$7{bIIxvG`gr&MjV$4l^H&x1l0epiK-*LfJZ=Qz$vLa9OsW8oQ`2{9+Wu_ z4bIr!BFk#0FU4h2&M@9q;36{we8G>(nRaf zg7JSRPF=L514`HFEYsI0H5jToLzk&QSsL8dupM}a8UHaZv(xm$Y~G0U(T#i7!g-36 z$peb0S|&SQ@E0(DKmzQrF{m9YK7Czr&i(oq)|2zafZkQ`$F5Mv7sJ~Ya*MM8iTXXi zu_5oahCFl>iXvI0F7cCMui)S;um_#z)}fb#tY(r`1qQ$vlIC@(^SZPp%4wkpVJTQf z2rrEngjQEwwi>=$adT2SOAuMjK2U2F$)`7Su=H@Bi$Qn3A>Qj$C9>1&qC7d3k5z+L zDN!Tw)uM~xq2>C+Rxz-G#8A>EeuK-fN{oM4JT5*<+p|T0jvb)h;gLDd?E05ks-d9a zs_?=F_RDhEo3pSG#xMDjw9Ut>N?M`C^?PlW=yZP7bA#|l0e=xwjn6|-=l!!Svs)}Z zOpm~qa5>Ne?Nc{H3EP5EvujC+3uywe0H%rG%5En8oj)Y4Kx zl-$LWqd5r7=sTznXD)zW;q>0Q;PSu_)51yqKo>*0-ZyMjctPSzZxx06-L|Vkf5#H1 ze+)fb5IHF))fqS!zIrPH_0I6!8B^Ews$H^Bn!dpdJX_VFCEUt1y#Nt5{dgJw>ofp^ z(A=?PL-jVpZ*ln%92Bl#Qa7!2RJUU=Q+Mg&W@30~m&t^Q-hRK!xvgmrVsaA~<0}HU z+`IUCPPiiTN8OEz#fMDQa$6sDZhrOhHm~;v--#k4o>*LsI=K+m-=+>^++|apm|U5W z;ciU91=$@sX!Z0NSk&}^}(p}5aF3;o5DD;~S znpfU4w{40ONP(n1W6G59NNFw)K8ow}KE=O!nqt<)*+0zqP4`a)UDYcZrta-LshY2Q zMWXY*H^Qh&$1bf+0AI}aL*S9T9fMJ^H}8CRJUvWUkw@|?aj#ocEfhW`kSifPZj2NM zeT*~WzB*rShi`^Zh4kJr0?Dr4(xJ`6Cq@2UeNjiQbTNxSz2|x;GN>%b`#0(y$Y!D0 zW66!yGF;}gq@hLLXy>WUL{4(IF9(Lj@~VSJVcRgvw zs`lSzg1*r`oA3E!<{#&-Esq{NFTpLl@k;|RsQ)@^R$e^6RdA}Np{qf|srO;qlE)dN zj|v!<_^LOHW#lTy zlS0C%eH?dxhE~;AeOf-wSmtEO-vg#EB&|Jfr^Pg-Ih8tzX?fH6JasJqmms-Q z!|6)mRo9d6Thf5s3q4L-|8+1w+09Dkd~DS6H6X!&qKOnAtgqmVOJQOrMXIiH(?v72 zACCx-#DVc?AEs`vDixe`-Qbr<$`5szxLYA3@ljh~4mmrY8RMdhpm#!YXTQEc8ciKj zd9n?%)M%`z+uNa7vlBkNZZW3AN~4Uqh9a|~oZl-PS9gyG38HgsJei>AXcgI{i|m!X zy8InwhRC!@T50$tk7-V+RB+_pj2twfiBrn&8hGPT^jQh>;`P_aU+xJ@7k-iBerc>- zNs=3BOlv=XrVZopU0_DgT=5AyK}FU*ezBjU=8oZc*N<9i5x8U72LLCpq|Q)$mzq)C z#3Y#o<(+_4v5Xy%?PR_}Vxz3SiMwejPkL=5IXIS~^|izNfVJ8Luhi5%-F+v}j7n)f zCjm3pX7o}wo%#97KUx&lx@tZp-?RPH~+A#F<+SvCyk*#JEo)-e9xb;xMIff z+}osLr=m4n0y=Yw0I1x!=P*p?oT3~{R2gl2a#PQvSP>Ij87rlQT}EB!Rmu{h9BNK~ zwPK=1!S7LwAtc5oP1rz=q{a{EP~9gT_1+DY$N+;q?RZ*Lnf&L^&(LslNE>tdq7$z$ z_kUIdG9x@P8Pix#f=>pW)tql;`6SBwIre#Hm8CjTIQNE<~quj zKo`v=aVN6LW=EhpY1z1(dv-nO6l)kzySwOUJ)N3sxy-z6Gionkywknt6#A@M+I#y| z%#vkA5TiCzCCy=-n3vN=!(DcC`MWMEP4tlyVj*a&5hG zBkDp-Si`o?VfJp;2*SgkjZS$rLjPGQ>p`?Blx{~B!22EMNUbl#Z6t2JR z4wll|%Y1&zlf0ExEpq0x(}t>w$K-J!3hAFU4wvtsqa)wNJ)rlIMG zN0gQtHXxOVywYO9n9FUl7330R}7QBAuac8ubF`- zvUKR?iJH&H;B9IhIi(ZNA1*{uw$U6EO~Efl@@vDR$AqL?h6`5&UWmxO+_R(muSH9J z{^ZF^($MJJUXxTApQsH#WfU^DZ#6Yd|GUk8_3cv58)(`6^P?jI?l&M|Xbw*26w&%& zlEw}}(g+)VAJVyQ#`qi>&T!pX*++C-#Xy2eD5hvF?JxhM1<1HC&iZmJUKl!N3r)^& zh1XPBo#zI3X?K`m??{Z5m+p2^>B!~W5-ab&8CKC3z<*cKm#(sYK+Yz#q-F5)7GG#@ z`tsA&nds3^LIo#10x8Sh?#A0rM=Y!7V&%T@)0KaUq(y+G#v3~B&}CpYov_XT?hAZ$qbwB}=jwW;_WzxEsNFBe82@m;6XV zlSM#o`wwWSbXIMn%h|GjV>=roQ+dvZZU^oD+n{p&7Va7DV8)(t-4~XhGo!Y>q`$}I!j~foGvV4OmM-dFLPs;MsK&v=mFGsn3)#GBLs6!PiU#)5 z0!oRgJX0}Kug9WFz~7>c*5soo_C>Wi6FOw*5U_uWJ|xjj-$%rSYO zf?_po)~w;0?y^wytu<*HKEA%lRA=P}z3F{A# z7SPs&6$7g39qlqv^E(zDK-H`>eA!pB5F{B(;+9+DZ*+bDSJYxT`^LsRjn@hAr zYg@#g3O$-2Z7S_8=t4V1oS0t$EM)Q5+myBZL5!x1oM;_1=zcWr@ z3Ld^e?xyfQY&ODKSUGDDg6s>*J_UMPEO}y`otGX`)^cq0iuSCFhld4(zq?U2S+`hQ zGH3EWks@fd%K%>tO7sGM^N$;L7b3$w98uEt5e8LvM4&^>f?8!9=lI1B2TX6(OVYV8 ziB5l1S2^-<&5nHRT3-qMM0Yj$gy-hNxb}T z#1BveaM9{sYqK)%@HmhgFmzuy+6Zmsc(~>>q?~^<&!;?*=Zr+Q1?a@k@vg&XY+03O zF*>VVEYNyn;XocxBNwZsydbRn!!1(9yn9V;ScJ%qxP{q^`4V@SLw8g{wZ4D@q&62L z$EO7nn(F*P;J7(sgQbKr8cdFyI$IVv;B0MLIWAQ~O$?UPsONDlcN_0Abz`7<+qNw< zz>0-ToS0&?BA5*CndEgPQuIaJ?qzY# zb-kvwo9CelWCoYZaLgJ^>=eD{jImu6>dx65MD!er7g)S39!}8@s}?VgfYte+UJ#Sn zT3j#G>fz>WeBRvw&{bFAY>5skz5Hn8jhB+s`^0OJoOJDzYD@SeX(Dry>4LC3N6IWc z{j1Lr+l*1ru%+K`F!$(H>;Z*rc=eXsI`ISEvD_pB8e46}S#f)z{oFDs!`J8tJ@W%! zbP_0g_3?rugbK4UZGn#`9)=W8yEuN&aFgYg&4Z-qsA&#Z_iTG@3(ft!)YB%BcTY0^ zL4kC^waXrS5=-I%L|BBB=f1v+%sG#BFMeP!YpvJutXvFBKFr?SWYX;XmP1jBkUU&s zdF3H|GzL<0+WZ)GlK4XKIotHY9T7KHX@>5#8T-4|9-5c{{Vc%|Jq}F{I;+WhX*zV7 z>J+97FGrokT^iqb!3VXP)Y3*xNfRZKOs9&bB=0+TFB%-vNriRf=G~1Sa}~^aKw;Y0 z#*vvKYWw0U_!Y22&Q7l;d>6MiYQ4W*polxW_kpy|Te5cw7I&=Z;jOyq3|IrZ_oVmL zw%R;^7>2}EX=zljTr1ta3LT|m_ugW&`|V~Xa_Va zcRQB#0!3&g@A|kN;d2Iq74%K$thRRFh}zD$!{TW^a%58%EK*m2&VQOY%BGeKi(0S4 zqU#vpn*tHJ?4i7yYs%3N>3o(Ux2w}==v|;Z{FSA%h|(C|l1y05Rkv)&uSL6iVFp#V zuE|viE_#YK|1epSbi9{REB@`1(5sWoS3?wNk5Rru$_9TDk+ZgLSZb(s%}gqM31#jk zxj0X6i^6fAqU#T|yRF?55hXd}Txl@-R=Y_1iidU7Z8B47R*PIYkKXZt^%oZ%SZACx z8S-d{Ux0=l-)qH`)5{!>=u6I-pd#aO63;*1jta7ot2o<26hI#-F=2;@I=RsBDHU*C zg|-!?y*|Enjm2uI_X<3DTwnxkUhM`?;_L$md|!Ho-dj+4yetjW%htoV+!t(nwVzJ{ z+{4WSFj?&$dS9Oj^La#4L2<2unJ3h3W+zS@_;ZlL;p^D@@~s(c23~IZt!}JfQgxY3 z?`L7@Uy#@$6-ucQ_Vw6QNa_m`*I(GtADd?uX#PP_24g917rW@NE(qVw&kbenopplOU*qGZnMF-YP>&OcMZ0kb})*@;p)5P3$G&sO8j?TF%! zN7@`Ko;k!ELFs}D6X0<2=gH`s>&e0OLdL$~ywBGdV*hTloCY3^0 ziqfBLVi_>9`uG!~u!T69oD_3NTi`fB&wMv9{@44#&Qf9mq`rcAmW#Uc2Qpz(a&qw| z*E$}^R;F5(3W@x)CJ~CfX7a*qNe6==$q8vF1WAn{Mvio zIQ?kkb0arj+q}`@gNtUZp^?=sa+?>>;vV@mF6}oI9p>M9zeLeHZl65uSHF3zy1x^d z<--Yfi%Br#DGisd%q>6Rc7F50^**XSt!sQCOr?*mx<4Uk>id+AXCM8_2vKHkuR6XT zW3#3n;|ZwsGMJazJ9nt@<^tNuYRTDM5jmPup zqM#|P*IRx$%_*C+Cu5j<=KM&b%!cg_O@0#bj{w`}5<)5Vl9>k-Aes?d&Cz`oap!Qi z^SCT}8j@owqsP}0$m1#xz|oj-*PSv53|3+qfN-J|+r^ zLuvuiztdG3yJjGj1B96Kt1SN;s5o)RCs|bzd=gR_EuXJz)2CnLz0@Fz3b0kz zFL#UD%!orY>%Vr5PG}Z5ea>^CsQ0;qnn$q|y;pMrWvv}PQD~`;XSC26o~t>VSz}tD z1%H+*GY8FE`vzm2D08%YH7{dnMY_)cQv{mDaq}EVevAG%QgZik1@~y=`oKeQ9M_)l z?JSLAxy|4^4^|(qUQ&)os7{bb5{Ev<%J~)>t4IG5AU%lOl1oqly^Bzk$9c*}r0?Ap z7P9g6dqz>A9lmOmP!`hoS^u0h>G9?z<;C}>Q_4Oq7QH~e6fn!oH%ffa*GJ>oRhNDS zr$Xvx#`*Y2Y%fc;rQ1PlfIuGJT;?y^9faUrx%hF%@^i zkBoZYDGA2y=BDN!JoW_=U2pYybKfN1ORXjjT;sjMD1E!X$0 zPtCb;v+4*fS!uk;3mg7XMIgwBjeffZElgywFD6Rf>r>`GfB8eV@86--n*&A=!K3SG zxVu(=GU6ZI>jX3Y+_O#B?D;6Hj;?!W6maGRZJwf#SQsN!>Ke3uIVzo+WjbYQ6YG9A z!)Gy1W>n9mq}_lKmtSVuW2L(xIVg zaEUSLm<~r2Y?@*E@x^}Wk(S8455rF8)O>^OyVl?7yJ*)nIv}WyQ!kSRuOOZmz9e0v zdW*DO2_AjI&}8TR*Z^PEG6lr5eAd0>600>P30;!fzhC^s@xQD&PJlZe7@wT}&%~L_ z5KVA+?w@Df1A(Ul3_9;$w;ulRrTyLnB%{+e__C`rG%mkv7hdF~VJjt{f zI-yiAdKJ=Jl9aI16iL2T|6HzTnJ05rv*8+-C`lFeD%h1rY6CHO5PLb@AL*QN$v+VP z!%O`+GAKjVl3GQ_Ob~U^fekZ}#p?I6unvx?39@fd(ictP^_FL<6g$1<$|zp& z;?JG}bzex_dQ-RuUvA>3#8Y$4zjJvrsv&DUV4cn0IxsGLD;K^bICj)r7}Hb~bVcU4 zhOGQtvFwm}$GWd`6!7LPxkHwpgfeiO#kfosy&>KSWe?&9fuXpUJJ5KuuJ<&vt zlafL#+DoUDjU^rB!k7qK_|~60UF4*pR6B%8V_>&!G>;X=r3hFKa|(xNrB&w($Owl! zQNrRqC%4pLN|qO@=Pz?RhiE}|om@r7CFPud7cp|KoGjPb8ewWoWYpBQ`RgZ-uP3lY zbSvjkg3zFM^iOlhCDJ<@?wu#m=+wgz(eeTlff!nM#uwn|HLDpLLR>l3YcAEG`0j(sR{V9lsnLe zky_7q3iJm>SD>&MVPZ}oY_Sc=*~{m2FTcTvdmvwBC8O!!&N8~4~qPVgi zilXatnag!x9~nC!vE&oECQtkqvc6z1HUB(bTcN8j z!ownR<#bc_jb`+!BAzigvpZ*FRGD%OtcW*bH>-Hj0g!o_1s}i4?a7!5*{G!us|b-W z{Phm(o)yHgsKX_*0-OgEzgLtfR0BR_16&dVcl8zITr6Qc7)04H5Z5VMBTzkM6;K zN0elYQyrKN8>4~4q$)#tA6|VCAW1luW0L|z>>(S8U^`5FG0&Fy7KUH0j0fCrOk@3L z5%@Jd)N}#>AqZ1BftPNMyatj?j}YswFP36)Zpe4Oe_i)Fy2P3@o?rF;l2{3%B^4X|UN*Gs#5d`~5I|=h2 zPY}B?_TrijEe0VL@}3F|17v*W+>LXHSLiTZ4(-!Gw0LL^>v%Yu?-UZhrX4NE<79^+ z589BN6DXl(zT|;;jLC_B2UlU=0`AU`Z)Cz>$R&#dC8{bJKN^GmF20_&WSb8b1;;!P z`MQsb%o3I5t9Zq|>HD_k^$NDo!hnn+q7oFn4_G@h*ekU7!QOM2UbQy~4UPz4gP7$7 zY25P3gsX7C?ldeK7}3NX(?`5@2!3Jm&qH2QEh7=mQYX&t})Y#vv_R+MiooX`vy!f;C(qf zX_%riv@Sz}p-Gm4!PyRX1%(nAAOZIvZuP_RHyjbW5_k!59-|_+tCjMt||yABzkP*8v-p1cLt)HP&(yLsgBoz59`RE#|+y?;=4;mg1S~I$7~@>s=vKt z)E(yKf%v*9H7DL_B`BT)KN5wl1n;j9XFB@zv*OsLK4h+b)HgMP;;oR7PBa(Gy9{I3 zpIMnrQeNPxC2~=m8J2fDnRNVN2kPWv>OU0@5<$eqi!@%8U+Kt)0CMvY3#GZ$p#C5T zXfvmbtvx!O_71|wU1LEW{8Q(4EoZoP(u#jYW_g2D;69y|;wvr4B7wcQryLIbOov!9 zTjl%9k@+CfLJBG(a*FcH!imYs`R?40Yzbc==Ls&Er}XRB=Rfn3omB_e7V+ z^$&(iL!VFNmK6Bmgn?BZS3c|XxX5v{{-s#4vdjl9ToM~@P;?f?IJS-w)=ox3VBpjo z>c5Lsmj@Bk<|RGOIIM{{*)*=?ig54$bAhy&9lvH9R~QEm(_=Ct3uxvF5o>#7ILeI; zfdNJ-%g&=O322*ytnsG)A3TDpB|3U`|DVslAfBOk4`$Naa;+oy)CsD;R^gq$si}tW zH)ZT^_xq{;;2eZZa6T)R6}S2vx+&cBPsTu;y4YcHo1#mjy|#s2RG4| z&#RA^JugLKTM&&GSFPq40>83*lu2FTC?#fQErjq*!1uE?ocsYqZT0eLzXH~=u#GD(l4|9>vSMQ4q+#;H!;O%0qz}&^nvX2;kt%VPy*C>Us#j9m4ec8zn$SixdQHvo5uc2=xKry(h}^iE_> z4V`~HRacQ6J>6*@2!sQ9j=MRtWrfc)3GSGf#g-Qm>7f!*vh$37`?9j(8(~VUlZUID*d{({e7?D9G4TkTK;Ab|u~&wdO%%73 zI{g*<&}1$dKs^wqMQ#lj`%9TtevX4u{H5p5hj|8OA&g*?NP5bc;r;~9y|Okl1S-O> zSyBv%Qe8-7k$&qr1S}Pp(E;n-8yRtKJ?)27ATTR>VrI-7@sz2<^t{T8gm(yi+P|s1 zc@i*e1_0Z8)xAYV6{$5$Wi67AI7{3+2h}o$={rnU!%Br=5Yo9g8cozF7T1PvRPsvm zXy$pFFeLrbRl8esX!{k_2jH%+a`NJ9VK57dKBy@{hl*w70~zzAb9wZ^neoa8jJD2T zW7J(Z6>)MgzARy;KaTjgY}wgJjq+}a+XO0SwN^^GyFi5mS~dm2d&jEi;KCwES~tk$ zAhmFXz^tn2UzfS@t5p9R`CI?`71C3wA(SqtNpf+qh}s&%Wintc-nli4*pQcy2X06n zvVY@s%LutQ+Zu&w!hxvrc0>Xdd1g&@DteIoPbw7O0=x7u8&20|n+MP~kirQq`!cyG z{x40Nyf?-nYSxNHDvqyX#*KQtL5PE@T-e_%&!o7WF6SbV%emJrxtO630aP?rzj+;t zsHMuFsP`8d#;I4nb8Ed&nd+VcCNN2rPsON!8T>KCu`m6~lmZv6wUTCz{6}3XSV+tF zRgk84Tk$P1t?VA$l5~f^CsVoK~Kxvd?4a1 zBBs2E>BL009(fP@F)yLWz04~0ql%&n;KPH;_Igp5|IhkK^@(DZU64l? z>#Y76B&xO_*doXUMbRb^k)MwZ(?eGQuwQyMAF2Nm#xq%*M6G2LXR9YvZ7^kx%Z*SG zSBfrO2_@ZxT%l7h&e;Xr8aU%hS~ z8Ouk4kC9Y>X_>p9mx?S`$h~Qjs~|0bYUR#+8>9hH0H##GT^X-4p@^l|pd^fEd4=tF zn_e3NIQn8}e6$!LC4(@vM&&{z=!9ipfFI|!Xl6ghw)hZ6W1;>ZW5vm)h&KO@L>Q5c0 zwdtMOG*g8~;80&N}fv*NMoPfUqX^^Y;%ylay!2|SHG+r=OetrUN z1Llf8|KS&K{B>{%my$J&-Ab*YHUfkVvBlEEkU^OS{~KtoL8PjzBvxFpe(5c8Yj<6o zV!E*3VbcRJ$eqm3k2eR|G1Q-_d(~hjXq#~b3I4Gr)?uP6mQ>8jl-1mAjNsWbugCvA zoE^>&*?JOsCA@*29y}04ym>Lr_TJ@`ZU-dvebFV1WNJx31qcxML6+ZQQwtp2h}GG~ zn+~MN@HYPyJvQO(R#gC(p&~!mis>g%Z>6BoUQ-2h#HDXYVpfA4X!$gC`32HkFff$p zVz^;MNuwxe)ruHc=o~pj0Y#KjfT0nya7l~35}a}g6V^0-EQgJN`XAIQ7>M|1v>Hcj zGXy{zx+_KRTAG5&>!HFJaG*YQ3z6ZiR2U#Mu7tBfKnSqsqW11jWiz}8Ms6gh=rC^e z!vzm)nBIiq%*_8x@4wqQ!f;?~Nd6>cS%BSw)daAu>%e;94=p4OrWv&_vHC)ZEWr1I z?@MDIbqNDs1JM&|IATTH7!87DaessqJ0&3Ws^iJj?{g{JKZY_%DHNqd{xSgX(vTjP zkkeZDQY(ZtL0UKy8BN0>aHkHqz#iV7MYwIYa^6N|2DE07`%>hp z;Og*jx;=9L;7+tqPEz^qLxcgxp`S7t0lpi1UX2QIo}+2+4hX#cjSUiXaAc7p;+ z0!wN0*58)pupuxD)F5d(n^jw;p))msKff(iA_==mPf`3`G!TpmCk+dE^O&DNZC&7_ z2e>QSazHyC_$e@wS&t;&zlLOQLmx1*XGE*ug08A6b`-_0d=)Wk#^NP4(-vI>=Bj#N zHsLxMRQr`NbTvntqVkZt!YS@|*q2&Gqvcbl@u>D2l!pr+;I_<1cMChFB9*YFt$h24 z(lR(MTV6=JIj0(kBu$>8EjD}u%Me}wtpWkJZH;tZN>)VaI>fraWts5Gw59q~_v3rv zOor6nMK!ynv}sH^;;S9y3Gzr!2ppL+fwxz&mx7{V-5c%qTg`01o#rI8u<5garCQO*%yC`j`O!kChl-|{{=!<C<)_jA*|erGV?pB+1c^@CR|H`8 z4#N2wNv{8gsM=E?5oFTBW~sEKBk+i4`JZJ{8^vxAoS}tdbQoNw4ySkJRUN6&di}!qKodkE>yu9B>3Od?9rp{)RIQ}?}fku;EZ?$nJ;7S?r;HlCL z<3s7{WqIkc(3ul<1}h4imr&9VGooj3Fpy1Zz<9G!uiywBu}=Q1PqffTF!V z)22*ZS1=N!PtDcbm%VIL3PLSxTXB7|YciVW;im28ni!7Tr(%d&CR2LQDFH4ecr^gR zcVyC7&jNxHgdQ6Ut+ea0BkpohlKsN9Jx~t;G=&LQ)O}n*|CsXRLD*5=R`V@#H4M$I zhd95eQOgps?#5V2mtdrwi^ZuhqjToK(*po$&4NqF7|*Fk>acfq+@=kr>2UmCcUSt1 z#Z(#q9nce!#V*qcHfm)C>y>%NWGs4+T8jKaxDM)>2t1%!JZ%Mjtq!7JLk{$H=Zeoz z8GvHuBU2s<52q-FFUlxG+JzDBX*u=MUqSE4g2E8hlcqjt9{vjB1KftqJJm=EE{5L| zG}@j@^P+o13;3By&62x=XIIb|cc1}rx-E6Br7|AoB_CR^3 zK&iIfdmo3skJvs>3%iu$X&klM(WSi1R)nN|kl9{~zW%xi&dUPJYRP}l9Ply0WTCbW z<2LTs9mqNXlvLkb`eHysEs$M`WfovXQY9}QaYD`#NOd4=O(WXPMuZ>ZOm<1P7I+3z z3*n*Vf&(C|QL0_QuO7X|I09asK*_I&VN<#C|Ej`1sk6b(P%s1)%A4i}>Rlk6f!FnV z^U`@(!SGgYH1Hb zxd=8e$R*0Qg&@r;oCSaJ^YFH9&}9bLwhpH}?tqth-#81w^2HPgHMGX;&b;l1fd>smba)W9Y#P@6`91eE7z zfo1F|32yPQmOaF8s$3qF{2%NE#}H-$GG`vnhik}>rKhS8Fvg3EB02W z?XhgE%A(e`>>hIx)S;vez`V}Y_3B`Ec%>>s$8XY}6I5G+@wo5$F8^396(GyWGutpw zUA7(9xU%q08T>q9vTO8nIJaW!7TnSTIjnQ-RI~)#jRmS0@$W#rMABP%->(9XCy=!5 zxNSYU04YlG2#!oef(QW_re|Nz5puHJ>@%vDNd9-=8aj>N6pCY@N*qMTj@O4>w%kaV z;b#R(j}Cfh=8z5lj{>cXLib-bk@ zA%IG~bS)8#15MxtQi{N&qTNGi{zo~s5Q=U&(o8@2x7!Wm01#@C{K{N~)W|F^^sV_7 zxS3KsGvtZ_tae)#Oc9&q+WVoow4le7fVhbu+FrvXP&9|K;Vywe9X!;}fHCJ@gs7uF zQk98MW}1lx9Xi+)tNue53k*VOJSbyf=E~G0!B2uvUm(Urkfd2ur@4<1D4dH!LO0(Mqb|hX=pd#A-#nNfo!p7t+S5_v3{?NhD|OV zLu6Ft^U@Wio{K@=GOZeJ-fkHR5^QDJ}sj7Y;cSI)W+vF&Nx75^9}Gav=u_ zGT7(4c}$|Pse|HJ3R-JP5w6y(%+1#P`5YJY9r`Gst5-*swo&qc5W!>@oj)%DDMMsnCm8Inp$5N?pMZT<^i=k&rq+(~kKOOmxJTVRwXlp`Wk-cux!`6P&yxFc8 zt|P3=S?!u25lh8loj%SyG<4_(htp}Ex?!ZqF1LGT&&;!?U zIyI?5I{Lf+miOBoO97h2@>Z_$ zOyqUU%!){%!JCDe&q!XC9!WnY3is0h-RXM<&boEfjsBI+OghwRZH4#agoOKd!OelI zumkhB^bp?~1f5_-4E5vQQT=bg?$^&|+}Ut<7gY2e8V$0g0L($`vM7#JW6}JMT17N| z`3VKO-GFQaTlmCXdo{OiYJ(NnBI%+ocjucN>U-yvkLyRQkykh4!Xps|WTbJX?`6hE z0SlBjKtQjgYhyY|h17D*(Ubd%xTtu{&nw+A)q+x|g%eF;@9w>+o&QzRR7VQV;gDiR z$^G&(B{!tOgT@)J9i@~<$Hln3-`;YI%?s7}@gIi3wk>tpE>{B{3W>AejM&eq3n*8I z=I5L?wBy9F`zg@nh9@edex+wFusWf!%%gFvG-sdg5pRNuygf7!^{W58+dk8J;K50e zh*MLWwH5`pY+Pw_LqCOHi)T3y93gpa_(t9tOZ8h=iS{$IuXJfB1dpz!{VHP`-Q&#S zH)R&PQ9b$JaAXasV8}}`&hrNG$;6eWdTjsaT2Yzvm zCUa)xsSntF;2KK4-aTQ#$chZ@PK%vb01p+xXp+j0?)d|+TS$qw>TZZ&y1C(EF4xr39EAP9(RGa zJzgii8$cQ=A{_DqoUmO^)KHcj2akkXwuPV;B+Y$ap~NiSE6&__D15{KX-Q- znxImIj#CNeAsZN2ZyHBTgiT|i7dU`ZQRZbKV}c6m56a~GA&`zKN2qsKnNGnr(2y*_ z@HAbW`8^bgX|0`8>l3s_VNaRlE$n>ZpWFht`}KkA$OfGqS>go+4_PjNBHeVjeF~DD zHF?ZkQGt6kxpap2e>DYr!C|h~0Y|`WlCOcp2w;MULx-n$;!Plj03=&6a+d%7i&}zn zR{zaO`yIGD;M{@K6TUOgd*F;Nc7TvvE*s!{>h|cfnNFc5{|lA^ia zO7`mLO?HeMRAd`V_GOY~vS%mD*vCE?j4_Pgojbn2|2)n)&+~qsbLXBrbMAfJv;$tdlZ`f5 zSxyXFslmy4bvBSq>V<2AdIo&SpLEAp{olr!4e<0QPETuL%D(DLUh2KEO~b$0fU1($ zl>z4#&;H^kGUR(!fZspQZs4S$->S)10xc9ArN#ASU&yD*mY~2f3PGeD_|*V-+N3wT zM zZU|IL498t0-_uYCeaDt>(3lkVtm=HfI7cb-R;Rq2^w*Q6G@V6NCaL0suiSocx!=Zx#hc z?XvhVHyo}pP&297OuY+c=t%TGOKKCnSNGD!FJ?x$InO>>jCy_QZPPtH*hy1FJzB&; zTpWz{i=T152SPt7oX>2n_NXqfIu;LO$jP3`wtJ@GnWe+QcYcT(bokTnrOQ1_%d(d` zVqK}{t#gGwv%7NFTIz6hd^%?>(K1W_sOf`d0jA*7!Wi2hrW%}Y+%Epsra<;GDL?ba*ETBX zu4W=XB+UJaGyU{!^|{Ya@+W%-=z?18_WOodhRRA z@8>f}10Ai|k_R2xhVZ}-QFK=A7QSWDal=81Q#}f$fYM}E1IsasOGEeaz@;I?tKXf% zR{FeRj$(O=M+rroh>(TVCDPjP_d8(|7h3(2blwgY*KqEdd+RNIo^-l5@9)hRw~;fv zlpsuYvT@7kyrSLseWSjyCqw){Yw9})#ue=?;;m9V7yR{!%-Ft#YQ7OZ>Xh9wEZUl`*FHvZ)XkSNqHUB!VqKqlvGC#j}* zG(Q!+BU#;r6cNK7O1}COKY%r7wLESB;U-dMthws!i6Yi->xic1e)dx@*-iyk<`!Z3KH^S`#I#ypy=cFqI`@+pBB~nl3 zIC_6{%1DeD*z$SpUgW6cm~+k9?|Dy?xu}J&_dO^Q7Y0(ymjo_%qzu z2EN`r_vD92esmShiC3BX3^Y;M$eGOr#*tgNdFpU0xXA-ZvHNqjj_7kdJX2j)D9wSh z>X)_AF32_Ei;vnA7Cu9MLKu5?uzunPEf?}!pR>MTrBctnJ>Q}FoSCxjv0-V6_2rco zNQpM-{Ckco7w21G9K+S{RH1^`h%ugZX~8h>vnKi6togmGC+Wb+H0QIyPXlogntC0* zwGGezz-53t`r_Q+jxui^u$Wl41+EvZxvD(OC|EN7`hqci_wI$pk=aUHR$X9?Xd3H2 zo;UWn`U6~rS|?sDF>P3^>B&V&h^FYS&S3s+T+jqT&GcC`ZwCZ$622mS&tcFEW zEam~>8HfGrDKj)}Yrw|ViL-uNt4dd5do)S1)1$mHg7M(eWoR%Ehbr_?Ukf5HY``4F zm|Tp%kk85x!3ZpS5{u@1+vET13h!dMupQ$fU z$>Ud=2~5@Z6^EMEY#}354Fos2=$pFX;Xx5O!V*nG-}8F$SHkmy#`;_~&ZWv+Q}G0i z6!_(c*AN@hY+EY_mGxO-XG@hdJ?=?MVHwtbOu;=Z$^Be5UPioXvzpft3-_edSGII2 z^P@SwJ_gUowtrbETIh!laBXodRM)JyX9SFN9E3gIbI7%=a;Xq4T!sHdP>jd`ACKTM z;K*JFF3!F>U)7~5|E4gO;=J8MWt;*!N%!#;GUbbQARmV=i-G(o-s8SIcWDHogGHQw zn)V#9D1rx&xQjZ6=EDX}9n!I76)ORY=6x^>9Wv@b3CH1rJ_n@p5W@VsCN*uq6u|^wYPm?Gj~->Bb;=z(M~zh4%imb=Nj{ zyc%?=dDgdI$%*;jur5spDs^#i*v7N>h@#XQLFV&ykH$(;UQe^#i;jGAfpng}saD^% z+j2`Qh;$B58#_;N2LjkgSix{ zv-{4-JhEn%%O7lP!C}H;V^Dx$7c2hn9x3vf@_~Xl_SmSw6DNTU?Q>1jUo3yB{(MR* ztoX>Ee-9XPZuQ+Vd@_J!AOeh&JMPa(izkn(NW0W6FW|9b(1I>n#J(SY1ALnRGZ*_; zRD7Os=PspUwqjYbF+Xa}NTVM3jhwVb_SfIvVnvz)-x)||?<w{18Z;K{LeiiT!Hir$(^c@Zr!WvD$9A@cl;_{0@gjN zJX&jaLF)--hxz=fpOsJR=O-mk==z(3Sutr+_x0Zj^V0EudcRX*Z|h}$Gp@$sIoF?0 zUB;&gCMdSn4+;r4ROymg8`0hqt_R;=lG@(y&;+b7=)*lPg`bVMeN$G4vJ|)3uor)i z?B_2!`nebK^V5%9DK%%LXHNy+BC9dK-zbuQ`^}~Nvxc8OvhV%d_$MMD(^H51$&jTd8nEJ;QXh>0#>SBP| zoQRx@OwVsqC^av=T^Qn^sCV`J8u%!;dsP6k-7g(D)sh$iP3@4n521A_QGLi2=LG+_$WM6#{*=-0{Ibr$g=Va|IxKa|3D1W;d^6G#GgFqj-Hd%&u*?JoE$dAyg3^Msx zUg7Bge)uL40@kZ?drT+6uJ7WeXMM9T0JjK(uz(}I8k>x2n(7l_H0jZXu?#~H(nITA zld#+ugN9^~fO{3pe4cs^AW;B9KC}Mw>P|K#8#PAqCE*d;Psk{MwmpRk1H&~C8X#PW zDxIlBrtBz@00Z~ERwpA2&o*j4BasdkJ`l`fbdS|ZSP4PgKZ*M5g`yH5N8;MJrOit# zt|T&X!jiBoW1#WO06>$xT&tdN;4pBKDqrK#CPOA>^6O=bS2nKFhcF-)ObH(*y%`{QVC0vMh-OVAnMWs3jF;+lw|a|D zs39&7y{$6dD+#+AxU!}*=tRuvfM5;djYL1e=1^Zxt3tRXegzWQ#k1#v<@Y>sk+Jm6 zh+hL>xsU@&+!dEYFbStK$~Krva29+HxI;`2;ypa zrdaRSfu#o&HavLBYP){{tOaCsyKkxyxuWnt!6~?_Nyhr*$irBZ9}0G}|8t`Md?U2M z={p(n@})L;k`PkPcfxV;Af%-ksI8okT4+xZGDc6?fkkaHH2vD@dsT0bTzm-Cw+{Wn zFb^=oXV$Vaj$eageZaX*N*fxESU)SHo}~k}UQ3}Ix_?Y2p#-_QY|WIuYz9C|0O#gR zjyP&&6k{v`Cu4MS01$8ZQ3RRkGiUGEf#5ir#LI4ewOGmiBqNCU0`R_>|E1^YyT~>Y9q(Ehom23|Eo(&i zn%AKDYY+%@uXrl9C2nLCIMhk7pkC=;O(`SB_d)W~HDpNL9`ER$^Hq8Z20*rQ&x4PT z{_%2?7*WuvQR&Cf-%4a8lN~hRR)l~knQcU~SB}+xL*^AF4g0M>j`p!3F{l1(YjPTR zQK~);rq%?}FLs^L@c~&)=agnFbo}BV8G0ub>LlRnZ}HU#KLIdB!J5Lw-iEFb0cF(6`Wn#!2h2|>kooN$AL4)YImJUsf<-lu+<#29Pz_SdVgtbbQY zM*^6ge#w37PEV#Mh(xPF*yT*g3W~3QptI=+PRlFOtx+UC8q@xnf_9OCL6#E=o2UG! z{$wel9qjlZIkp`WTBroNe}7$$Zwd}cBU9M|N3nrFCc5fxTg668FAO%(8`7&v?MH$E2;D~Ptlws%0Kxj zDOWBWqbz#m;kjtAuq2D7vhbQNIoGLd-Ih$7K}TCMG|suNfEHsYSq~PyDfErkr+?kq z1{6O|T7^9ylx7csAiw#k?ABTK5nxI}<-^SY6qTjxH=(-`9hyB^*9XJ4+)GU~XeyKiP45AeOWGFay zUy*PU1;K?kA~~EZFps|*fyGffB;0obqL1tPf`IH8AMnQfgY8+E1J?ADcq*GKWrpl-1{@v1HgH0J)^PV;FF1ovb60r!>HBw?=`S z&gq{q9jQj?%)kthD3=6E4Ds=Lh&q`HiQ`i|f8LnmCJ1T#4ZH^-<^TdRA_4s6omYE0 z8XFyCjOJhB15xD)r21uYYBr8?HMwnMkJkoyp~9s(778E*^3?AZh#lpLu1FsJ4K}C$ z^>owd-g}M?&(}Bsb<$?9X_TBGJvqdk1?nziBiV$b!II=C=v=GF^|w%toHHZU+13Sj z_qt!?f-lI?{49GvrpV(Xo5`FRiG8Vuyc5eJ@d4o9k_e?C%YL^-?%M-B0ebCp^A2&d zu|@<}4k7bu{{d`jwKmsd=HuTRzxM#3AOJ=#s|De)Y=w=n6&{Kn4P-Xz{@Zb1l*X?W z1u|kaN5L!~fG4^RHi976=sxqpHH(#6daPn!ZKOxnsus6_i zmY!gC*(~F!bD#T>dAv!lzGk@Ee+I#{(WU9mw+LSEhE7zfZVx0PF)P}vWG(+xrSRuI z7(&BO(73lFSm$m4@47gdod;hpMZP3YRZY_TmVDWLrxQG|Y4W+EYLm~cl_N`^OQv)GvI3D|Ul@M!DEmghC%8ACZ_0(KJO`uMBlQmST< zt$p532({I5*v<|@pR)-F;N5Hum7>yGxI@bx_f&qpVak`Ep*2?$8lG7{H6SdC@^XCyHFY$Yune`rN=yEq=#5T9phyH9Mt0!GM6puNoyN8Y)W-XIv+0US6PF*U?aNOlsdK|V zXGCpCO0g5C4L@s+-V_)sAbE-YE#^Ev@#qfO`nDTe>Y366ytymAffVw~PaX^YsXB+f za8S(@Ov@^R-umfY{&v~@Ubf2x22nh|L;o{Bay5#@i~ldkSep>?#~5EnTKx5=5l@T7 zyk@t{(i`&Y3%lGYThu!Xk%eIkYq|?oR!W|PGD+83r3BE*Brs8BQq-maPMyk%dnQ8+ zP}S06Ht-eh)w^%D6`W{x0teT0CtsOl)X`QpuGSC2Ux96q4%KS;XGZ1v9&sKX8*=-; z@_Dr*YYdamYNc>AYbr&Wx&<}4we7Xx6OU27wJ*gSHhz%&H&7ImM~=lBxoH677^G@) z?A>w%_1!hzh%5u)9?CaAk|=!+cD*HW1T$cv2oh1?!s$pD>Z7Lub-Rbzgbm%np;zZe z?v3(%X4C;ad2Fy<+l>_A=DB@WYo)#Rzl@#4n`TtNH_EXBK*N6-{vTEJjYSR1NNO3z zqEa|9Ra2$f=_l&h_KVk;-QCC~c*rB%jXn|rTR~NH^Rg%*d$2sW>L}d=EXu6G3h?qy z$jTIef3FlC8ufO2zbjDP3wPo+305~H){Ts!3c={%Yf9oq-@6F%5I3Rd7D&k-c_IIY~N_oR}>Teo|cJo!NDzl_I- z&QOP7hm9~WBD<-q@!b07#mpt^{vpFEv&%u(YK_TNu328VAMnWm*bl_%>>4mM-ILy) zPHwhx-}tdodiUXiI)}V;4S4`xu?w#v0s8&jy-PIzHBL z=BDF{E)2hM`OT*yLOqorn&fe|(A$}>NU>d3S5{9kZ(@$#s_nyFhi=fE=e}FRsGzJ< zPfkMN##WKi;LE2c!lLoFOI3lxPe1%wN}a3JaR5gg?@Tp;03xyBX`4m%sTFMQo^&cJ2Wx`(8t z)e!C}G-cscMlOR6P40(bv0M2k)<$4{YkYkwSkCf)j>oN6&kil7OM=yvM9BRq_X)EX zu~FA;C=CCb=O-63s@jo~liHg4p^F(N=g!u2kIP-B++g4rtz5@w+s$+G^Ie+V7HVk~ zv%B0Qd?}o%38K`@!S1%0fIyoBu<4QY%NI*hHg#kR=yahjoa5_@^P?o=hkq z)qXM5nhS7Zku#-#ENs;HD%zgWfm!rF5pMprkA{+9#E*u2FkEO{3^~5_H?J`JK>7Ah zlG%nT1D`dQOj)r0UhQP3%N6#0p+1W#Jn>9r-)~AF{XY?8ih$!8NaH+g^oo1=qq_M_ zAi}@Gffvt+^{ZrQK}vW{v*WY%bL5nQ2+l6?TuM1D`Cc`;HM2SWu*(%5-W)E=d0xomj2k`cm=T@ARnw`Ng$hI$S=a@X7OJ%DRgZ-`9r0##9D%P5~BO@$BF2 zWJkf0)AjB&Her66>0h5bzt;6PK%O~?jY~)$-V=T{xTYcBY3R44NQwxkI3@TQvwN*- zJF70M-dDq{i7N`pp{DnhukzfXyLw*2GP>IRi*+h$6vUwk>x5WwlaF(YQ?%%$D5hUddkH>GJi6 zBIH91fvO~VeQJmZSCQrdt7Prb=V_Q&Z3+kL&|fG>a~O86CyiXu9x7^P<(*h^RZ@o( z3zQKE`rCT5V7dRpdJj4JWM}Jwrrq%Q^{BxY>h~&cARAWBtzO(Y?YuY_iYuhUWizR0 zSX&7JFS$6IP_5r!E~{XA36sRO)%Ie}bobrvE4@9vL+Uq!@zqQXPkhfnf5G-f|IV3^ z+lCh$oy}96Be?8!g$y*N(^xW_LoedVmbFQb^?#Ajjnc(DU6NNFq3K02?&hQu3r?)t zl=oL1%r`B`?5dpz)p&rEBjg>t8m3=ro=FiKR#}wXP!#$^YWu+3;IeBK?KeaBG z&Yh$J*LSamN{rXoKuMP4#Q50*^7-EQd`S*%*~{V z*t>y4f9?M5luOLBO(2ilsj zDLH1H#w+YYda672T;p-fUG|?m!bd~Tb^YzpEEwytf1AfnbRK=ee(!ZOS+E+jw-#Dv zrWI6lYHYoE?a(ckCtroNB6Yp+e0l0ThF{rO$|M_1HnUi>z0yy+=vV>lwYk ziRZS4a@D~cdvcLpeB8PvehNYE`f-wSR6x)YevoAf43hzXTw_`Sf)hrUq zq|{EkVIMwjrOp&v6xEkZvSG7sj(gZ$-;%y~7k%Gt0IpKOQ`7C216jPSuPw+ap&|b$ zx^m1ptR}TUGAT9KMf zG7dM27nPqK2$1C`x9BWbWeSs%xr8ui7`B9KC;NT0Bn7!%2Btz0Iz{z$fEhUjCkt-<+1=xw3 zv|Q%5`?PNL%mxbK#H;Guf7xcc-g>yE|744?nNthET`q)ulDv&t5Y-qu$T|?PmW<(~EA3uUuf; z&E0G3J4B|RvGL@QLd49g<)^gHs1HOAT;398ty`aBh~(_t%C>8>3;p@~%9S^6P}TY; zsozA?;p-Tb_l9Jh6f(m4y3NhmcJ!uS{coXaglMCRTyT< zTTG(3j78fa7q6(x5piKRO~qb_D)R<^q(fd>GSfEUHMp&)_1{e{c0vwDnccl!9vNYwq&^$#}g(HFlD=f1#m`Jr91x2)^u+7IE2lxW)RnV+^$ z>)uy}b}BLPa#&fMM;ZF!WkITR7j!#ZZ~bUW z3DT)v*EGBw>5W+6?dzKEO2Jg6Azhd3qv_Nxsk7dGSCt{l<>PBdN!gflz zplYP8smoNC*Z2rNlP|T2WIq3QgW8{Y*uB-`J=bGV0bYk2d9dug6iXM?_qJLt{ar~~ zM$Mcnwex*>LOxbYD{e%?r|3L zG6HLib$MoLbkRC`7r%ic_Mk&w3i-Sii@($V1tupln91!~JkW1{Tl+Jo+fnznWR7{7 zz8*!&tbb!k5hh@Cb2#Pw^LW8?lE3##-ufL=Y@m9m_%yo|qVsk+9rxg`w^9|U3KX6R z%bAs}jdv3mw|_sqr2U@L_Gq+%+OsYF^Up%&=Bu*?9`g5zYr=ZmLIv;dor65w+ld)> zVXZ5)k1~(O;Pu4XVn*W?hfaOp|DcDT_+r!A<7ucHW)|+$QqU{wTZ#9~VATDc^vqiv}*Z{>tB_59)QInJT|k4rF>H%&XTpX_Kl-umZcwt0mvg-P*U z%tQKH{oJCzf_K(ld5?iA-`y|D zfs!*s=)X~aVzGnPqZkVJcSnTdpPaU*Qh##O`Cd)_7}9NOvSFhqI*|HgNz)wg+n;6Q zX|yO7`#0xTI^?)xmypCb?f-)QqU?XqT2i%}${$bi!BwbbX#flLaF0ltPS@^m3y2eD zyH(+D?Rot1C4Phh@Eex4B4{sRBw>E?4= zwSA~AwlT*oJu4p=IQ$sJboX`ZN7OR8aRci9S1EbgnD$%U?Kl4k6egn{dTXrpINWM_ z^hNB8m-J!o#OVeg6`89q41}FCYcUXtw2{Z}LLO4}&31SoFA~bQ#k?UuKYpn@JuFK| z+15^&{_^+X&wXqy98&cO49R$Z&`cQv3DeCa31G}#_<2}^R*5;(;qvDF$t~1qw%s@@ z3Weo+;3Xm4f;7jIqj9|&x`|ouEVrjti*aJoS^e4x3%S$D)wup9s8ZoV?%hs}roi1j zd0T`Zm3a>O7GMhdbZhPHd(iJ`bf{>3oBrkNSG5FvJSHx$YY6*~Mh5#5u`d@yl1Fl6 zgu|RcAqyS9l0C6vxx1y+W8*RhA|3}T)*x& zv19xSe+RNTs2A|ZHBHS&uvOwR{c0Q#R zFbIC?FW-yI2>u%an28Ti{T(!_r}vxS4I!bjS6eX=RZa1tpBU|YczpOH%Q3?R&^ypPu*0jV%UlQX8Dmr)p0U6NVa z6LRnG0SHs~UTLVL3zz7?88ynvm^2%%ZTBClzo_2ZY?uh+?n{5^7mDNheD1f1{CZZ+ zqSGUymB&Tzz|A@)!e@sb{%*vx#J7yLPC65HN9$HoC{?n3FglAm%*=4v>72jW&zY&d z^L@<&N$?^%ZC_r#GM7g9le-%3rgmcf@ZqUolSm$Dg1uAz%_(c~I0EBjCXZwMX2wk$ z%PyRm%0XNG&Zt9(k5*WAcKJNKw?UqF%D&$#F62p!cWn~^ZdzWMj4*qms(!CM{O8-U$ICanXQx=2N7#>q@OAB$ zpF>2&JWSS{bNFNfBz!LIeB7*~r6c=;g3ov;qg#ISIxM=xk3 zaXgfFUmPWLuWxU1x@KBF!-hFx!J{ksc(W3X{zC@z@K0cSq4i zcGqeNd#I~%gulBT^DUr*Scz~wgv%d=2t7;l4p;~{e9=f$#SaP@)k;hhKD2jVK@j(~ zi9#qd!iI=WC8bwxeZcHCl}Y{a*8b*|l~M+@?qOk;jM(H1sPy+t4&g^Vr;azrqg?q= zE(;}{S1KT-mW*YpxY_Srf+t*$9+n}(#RYc^j~R4b@^hXLzLa$I&@gn zTb$PqoSAn(JQOMWUDz<7FHK5(o(ZEWZa368kbV^KnPm&9a=z#NxF)+y^Gl&B&#$cs z=otBR&-c^#G6h$NjrYL=P6RhS+wPLBZ`(xcHSVgt5?ID7Swx{OuBpL%YJG(=p!5=f z@Sup}K=)bKkiY+SpqQ9t_UJ~=*ZO0Jm3_W^&rtg&!@Ta}RvZU&xyVrzZNbNCOOcA4i&HTSn!%Exx249z(}}@J9m6264F`e5s#N=WNs7-rdehCbr^O44Ag~ylspN zu*!HE6wGdxG-$*fXrmFpkN_R&EUD zRm-s-{l6mgE_M5EIBILZJ!Kc&(LGs3Srj{;at+t`(da@fj(TOOFI0(4n?d*wyQlYj ztbP*;8U~|s=RN*g)iZ<2lV2qJQ1qZL*cw|G=gNqb0)nxWd0KVBU{ z93Nl;4tN5NF~kM=qXV0O!}bzi{OmC{CScDQmd8>k+ejQD93M@lH8V;d*Dm4oFIEa& z+=p*-t!sQe-abm0d^RI9fK7VUW!6O4{(Af`iPx|RD>vW( zxPvc%fD2e~Jw8G;7HkQbR^tz_0fe%fIi5+G48z3p$4tb5=*$*mRU`56Xg7v9AWuBN zqK=lcj`7D%T&qS`A7I`pAvIkEa@0BL;h{JhS`kviR6)_NMek<4{-vcS{a(qbfiL<8@W;BbD z`vO(=suNQ)A<{;gQKb_PUeoPMG;)R7SrR$co_=AP)R1?y3pkQLmO&kyM3MD)02q}cCO8i&W{=w_pTr_TM&5s+~cZh`93;tMFwZDM`>!W z^EQn*j)}8WIoA@4qNLoz5ZA9AL>>=7=iGjw8ZKD}9QATE{_~jo&&x6GXjos`>Ld-13#oF2RiIDAv;DK7w<=!E#BB zWKQB+0_Ei)hpjod(IN20W`f-?@(Zo|+Hg1j?;X~n?Q>^}p1BqiWphp)V!!DTwLH@? zYKKtw{>Z9H$ z9~krc_dVl#lSY|T@>LrI-?|EPP{bWLB6z@{Vbp7Q;loun^#1ZR?u17WaS-3o9-5M6k#b)$|D;{;H zSGq_U%evOFM0JjJVm>Y)SI*g#mN+52jos}ZZd~hA-ES;f->bn+dH77#vv<2+Grc^9 zl$zr|R)>PN0W=3@26M9NLTG16z?E^VjE`*nXqNu+{m=IQ8Y-Ah5e!xvUEkA?04j}4nbXx%Q|TmK`D6R!AC(8yRz_6| zHvjmGBHGxHRtJsv$(?QW&+DnZBTpZW+Bc0+g-J(uI!*dp^m=Mc-dW9dMY@gw@l9w= zw>(bll---Hn3=hjHLoZhNcadC+ekvlVs!7q_ml*WzUsMZ$KmxIzFYp2i<1=fg3Mm5 zN!_(C854_)CUz3Q{`aA%!>QMk0hRP6-O`W!pT$9st5x7FCgGie?EcSUi#p{noin?| zQkGutYh#GDhVyVF@c91oD!-LihR$K=s~9zzYon=7e%;GP!$xx{bF#81Tvn%yBx8Un zq+55`XjZb-kDivVG6v&5^(l7b#6~Z)HuG7t4ekzmFM2xS0>2Z%Zgbh zEJ~f;8z~Z@;H=vS^v?9<+v?hya>-W<{`b8R*6HgY<6bYZRWe5~#U2$ER<(&Bfd~|A zd^lnBBQ)r-ck5$jbB)0S0sAi~z^6ehQ*x@#+huxmE&H3me$og@XF~*~(1wwW`I5e& zbCgXqPLQ1u*GhQUt8IeGHyfUtZxppRDQ*kGz@0|KB=5qj7B8YT4<@9c8|yrEmF`h> za*hufwr{_fcgS>M_i$aLyk6-SW7IYW3QM7w>zsHAY9C~@_;&doS}T&0kpsMHUO?% zm14?yri>t@Z-PtGD7;Jf%i1gCIWsO8g|KZ%>+N|T&aD#g$g3t9U9*IxMY);J#qQ2`rw`4F! zkn@I(E**E8wUd0n`q+KeA;G$H+9W3tsG$dKBQL{n644su5dP*tUdFPe$8BUsa=3Pn zGg+B-y;N0`@n9&&6)w0_UGZaShbT}Lch5cP*V4Utn3Lw&wLR%(fu85+yRNtKN!x%< zzCUJ-Q?9EoqEGtM_?r>rh&5c%w~w`8-_e^yXiwF^Y79ZrIeU9+TyBp&_qqeo6(+vr zP_$Kt6sm@|g9H>xWOb52^(-J6FyheJ`=DC3jH_4aH_w_^l?d z?$HtYS+i0{(s9d@^R<2J$cjQk@$c{E_Xq2Nmv#VWO=Kk7uh65nrplcb%1bW5W-W9&+~ZfH zDOtcyO>gS{MY*DP`LZ5nGD(t>6YbGM5ERnG84*lif8Z_9T@i%*Rg8(&NZt{Y zQ5j8VY%)vQzx&!AvHI%(+1J4g?)0VB8yvn6Jci}T&x2cAcH3u^r6S{|k>qVKQU4D& zA0;xO(@`zpK3M;JFtuR+XxCy9MQ19KQhD zvA`~u+F`NWgAT!1B=LEe2CzK_T*lAV$L5agRIz4}+7D~|X3GWCGo3gWk0OU~3XamR z)PMg0w%oRTIFK3_If!+z4cdhhZ5EFjjv=lps!^ovy*NQ3#^ZEokK&#GNtrD@LOv2li=nHC)aPxhdNSuQfBkT6mja z6PkrrrGcT33bnflmm5Qi;JwjBu5hUqsf0}D?QUu&3n$=eC`2B@QobjW%)R`)|A!#z z{46Z2apaQ*X_Q*yI!yiFl-K5z*0zdAs7HQ#m0uQ~k$%HnE{ujN!+u2?gT+dzc4Zae zzXD!|=ErAnX5%=8qc8JuOMtiD^cBj8DO5v|up@%}A8w(0R=6)KAS~`{k8@6 zC7b7-{K2~WLLR3z3o5xVWPo5wn{-lA;TaeBFeT zjQ-pHNdtIFRb32UnbT-aIlnmJ(!)cF#EsgpS!C&vPVmm8BD6keljXPVF{WbL9CpRbyy`vM1n$%!B~02zKSY z8aCAEvzy$H#!{jOe(`7^)7fUQ7m}reGC1zXPHMAV2{94qey+@q|9a4NfRjX>7c4J9 z1=nh}^9)H0BfdvhTL!$&vXNBk{|*sR@TVC0UhHQ&C_}o<@AbC#*2B;v!F_9B zM%0FfxMRE!=l)I=XolSJ$p`MG`?s+5fF1c2nF=~MtU*4JvSZ@;_c&=&t*(A>k1dIk z@Ry`ljXee(@<=%A2KonZE1`W7vKhO2^bgYee4DHuVQ^SR-#KT~18j|x;vTWuP>kg6 zpH=4=enIZiIoFC(b=>4!`AJT%PR8`er$`>X>y}BnRZ$$nMBx!3>@3Dl*5#7b{Uioe zp_GwGu1}|B7WMLo(7I;s0y(iMA(w=}&e3|c_h1LHg{@B>+nX{bJw6Vvdcb;_u*3i4 zUfKObuDBXIM;el69&H55*>z_huZQ){`Ay}0#OeSy1_CL;-uBNrJ_7cu?G{+F7(YP9 z%ZfRS`q|P>9r(AFtXHct(^tBPgf9uNdgRbzXv=WCEZ$KEhCKm8mcy$`9O@jr4qKtP zjZeqfNELV*?j}pqLA9Jr_4S)*#ES6ht_`$=_=gQ+Gal+I2L1=|GCp&(j5%g-cLVNM zW#?&d+L@{S98|7RHBTDhft3?=icD>s-3$42oR2IViIN+wo%Z^oZnTY9aV3TH+_~w< z>GYZx5BKfzJ*p{wsh?j@JB;B--L)sHibpyOn+e7L^Ay||7WByndQA=%Aj6J2Yc%w> zb#{|?YkxS@3(+uUtuh<}GfDbKrzIgEz;J)9I#&dkYCty{!h)%F`~&}s0uC}jh25kU z`*@J=xxUJCLdL5lhF?Y+xi>s6%UT2SU$!0wzE+lh)(zI=yQ!O;H!20)r%EhfFE^FI z7&gi6yU>IT)Y^tQ0ls#7Xhz`_Fh|VXr=Ss^7%%!f$7A980WVDgtr5+pr@Snt4AlA#xZ_x z&&n#6q82ue6Fx+_K-K&3^Ayxcj>()B+8>2cysP0WGK2@(D4)5$;ifk>8zLpedB9*% zOtARzrsrhSq`IR1V{{ztn_7C`I-~$nQC|m;!aP~}Ua{c~ve9msVaR7MaIs-iPA1y% z@b1C=^5W1Q9uC_nlpe;pWPF9m#RE7BfG$cL_jrZ_Bo?dZ5A`!_IBa)jep#_NOr#rO z&ECl2e*p(3<@CYk=SEYknMWpc+C4qW4=X80~qPfrxF3UiW1mIq~sw zH*gb1u?4)}E&Vtf+fK<0g}4T{hc*_Z9_M4%D7yV-W}{xTRaGO(fP-0v@C&_P(dgJY zw~lU*MkAJh-`{^a;aNL2&R8zjb{D`L84uEWmQ*j3rw0O!&$Z( zO;GFu6W)Lh(El>al|hA*n~fXxb)WCmeTn;Dea4O`kwdpp*?c4&StyC4iKC6$AePb- zcUyj6vS1O?N(IF_u%Df5hYhQFyY1VJc;c_lH{4FN@Y-x*6S03O`eO4hVhbZdppb8c zV@)VyqlMVZCTI3W@hIr%+W;HF>eu|M)?i~p{XzLrvs8~d=d~b#IG*z2ynqtKSC6^@ z+~kop4^>tkJwW|DHV;^SW3we!=Me*2$UgD+xzWL!61e3H3|Ei*7ZsknN^@Wes02Lt z53{Z2Ry98GgDasNh8cEg_n3$i*w$MIjUf`R#vP=m>Ry|_#VdA=gT8khz2!fAyMC}= zZu$clEb9B=bTA`Ydav)q#*~U*Ai9|uFA^`WhVLtHC#icKzB}ujJ7yUW>H#M7BM1TT zwh{@S>&g14@D_mc0%?8Kalj zMlkAQ*ov7KirT0Tb3Ukba_=z(H79+Cec;Pp!)I(p6p~%wMi*KdglYG7^T}yOn@PjX zq1CIsM1S&#uhRI5B$HV;g4iHz3b6vl$&tqRax8f%$W|c0!(+U7n$mAb|SYi|)_ z55M`yvrjF(u66H)@{ql7!#&zk@r?X7cZ&=mgi@VOE~5{5hapUt4S|wvyfWA zyx8qHDrZe5LlqR^E%KibqL@jE;z*Ol`q^xK(zL6YPM_Y_{n?1p+R5K8o{U;$-5>O^ zSZMI`V0(ku#ccq+RM(8U8{f3VzIL$8;$KbJ*V-;p>ZL(wcm1YA_eGfg5Gr+s4vR3A zb?&YyHQZiJIG`iwl{-nS@UOBT8tpvwzk}DqO*MEo>>SPYPViVZXqj1{?032tm$u}L z>p7TC?6n;~%6jKBge61xVA5z+DsE#2M>Fci>Yf$3`xF`mT`kYNj(Tyt!=hY=F}n&5 zdg`0ld-~sNC(jw@iC?;4uY$hvBNuazCg(;*wBS-LwUHw8YJNd1a?d z$hX3m{h%hCoHQ&8CkgqkubQrU*Y{gvOXJXdYu(i1+#YnXk)2!ytQ-R0jfOE0CPv74 z17fzIN5Z{xpH#h?JF2=eR4C2SdU}2RRs-?l#k|F)^~~0BR1?nLLRdgqg*f!|b40 zuXftBgXYdTA)Xq6>S89ahvS?6^HAfd0A}oF8BIQ_ltX-1$N0gF)N+>5o9Cnif6!l& z5FZffQUj)+6k-2xmPunABZZa)-k&~%Df>U7t~?OR?fu`b<5uiw_@rxVP7|E;L*9dhia;BN0!!l^)ULOx>#;JW zGQ|QCb$@WZpm9}D3G9waikb@b>8=KT4-hm>u{%9o)MS6cE$|0rci*|pDWs6p{9mp_eCk5e1@=ktjg7g|i+{~t)a|U^h+Z8IXXux(WxlXD{>w+Y4$WSe>r1oy zIB(+C@7FKIY0SPqlKR!fAaRi)+k9L_Ki&A7aeNT^?1BSJAjY$yv~QbNU}a;1xgz-9 zKSuu}9h^qc^|PM2%p0ulqRc8MCOMHNtQR+A#d(X2 z{feS+BIoU5d=LhHjabj>*oRt50p`P_O3ey0_3EKCxmX-o(Y?5i79h7&K4Lr!xe?Eb zcr6*_8C@)y24?_^Whvwq(-(j-fP>GWD}Ju;NY|MUbb}1tEeF8<2zK5RO2k&ynSoiY z+?aw>1eyYNOntHWxb&R47s;X<5rDX8fXUFD@q39$I=FS;Fh~rIE%-IGtvTqI|bv z9WDNlT%kc-ej;@SCpC0{w>Etqgj$hCbp<`A4ux!V8yNM63pyxDko)( zWi4oO{8+?~)^_aa07G$PPuh%MF}=L$VSqc(9T?vBl6H zveDCY)1FBok(s`hKyk|={{-j?twliqp#DkFD(MlV9L;=6#2WR%O_UaO~fZEomN~ z9C7T0*s_?}mHCzQ7^ZmvviygjCdzZO+~d~90rDq+NC6*BanXY%v_40(BOOS)%|{`* zY{6eXU_dcpWr?vSyDQB)nUI8X(Y~sQrhqk+2Yiwj$`;mt<^~Ngug)OS4UqqMH{;Kw z@vIKe3BdSN!Yh+8G?9#v&CVTZ`$~wv`$L+7CscPqNt;mO6AR{81sf?8{(|%)^!uN5 zO-7dPWg@~q%dHj(&#`|dM@m5!FgLu83&g$7>6C6TW;q02$!2Y0?yl!4jegHV{U(el z=Hpl)Z|4FJ`u!QqgJA5>%>LPm+cKKOoM7bb8Vp#z z#+PoV{|`v%J;ANg2g01=%&Bo~|9Vhj8@Z_{c@Pyw1Mw9uWR zW;}sV!Akm^qIQE8A0d-+#OJbFd`$E@TI@9xl;})vvXn1vHUI zwSJG~houm6z;wE%LUNoL?IhH5@Oa9YC`gh#nIL} zB4=gWm@xIe$5VE-W=O!pj||rs*NFN2hC8%WE|b?g7CxGvJ62TB5|i{UHCCyjq8wB& z!wtkmkI&7E1?aci+xl1snV=4(PIxX+rN=F;XM*!QvUuE>)fB$x9e+^%MEB%4Cw9Ft zCB7ngpCl3dLrHMw%VSUHxjare#fONqfzs-jb+29MUtXNu2hUVN2#zlr>&Np?xbPeO z4mUn@8KLLEgfqv4ZL2f)^`l1*>oY_30p~51`KnZgtUDh=(ptD;S@cpdMn~V)9{l}$ zjH{KmbwEf!Y5>k)$kQ`v0i9l&V_03@F}5H=D5e+Fv&IUij*djtiMoDI6w)s+m36i+ zS08CyHuQW57Lg)6E?;Csj0k-bYnDEnV2j;0(DX3I{1x{gZ_Nx=U$DYxX|G}y_6=`M zc71QY8A{%FR^azqaulc+)G-H&(k&!S&L=q#Z!Ydw$fOyymPnfXn{=X_(WfS(dxf=r z%8Y@G-YrLKk;~>XBrxy#ME?U@$K557@870sZNbFWBOjy)mKftOBemvHHS9LSXZ{NH zwJ*IXcID@OH29~;@8$$guV$JSL^B&Yj$o9#;2Na^)7x;gzQ$x99ur29fnV`E0a*EoLxP9#{_VR2{SX7Fp};)F7WKB=3^myHgxROgr3pr*f93 zv?Mz@h}4Q6&DJ1 z#;T}RDCVl2!(h1l4^|V(-=07@1}f67_D?zW3Cb5159&SCOJlC5DwLCS7D7JC@A;tK z2zF*+?i@+l5gj4_&xf5){w&s%^tGKFwhN&OecRitF~~_%yfk}d}kf{jF`&@fy8AG_Ax-VI5{TGxa6)=Y}4>Yt|?WhW^b62K4D7In4(5K z;%su>?AnuC3#Z#z9!%H=U(iagc_L_Bh+S_5YmmgVuRNQ?J0U& zd5g9ge=@a8LSyY2TZjLv(?}HEfV1mX4cGUdL%P#w^W^ux`}12WN2r=SnxjPf4h_np zXWAS8!_oR{(PcSd4j$Q{2KY8gpU;D<5YA*~o~H6c6GaABeDAJgB=1b>`dXVo(mzGeC+m zkOdDmd(vR4WWID8U@XGuiMjD4X7fhoOMZLy>ngl~T)7|65*}j~9T^SYYK^px#yaeI zy0SQus-g7gy#tfn@q#!W*v&c@Ckcp@jLUUS1;7^Rq`o)pR zr9Dsqfc1XNO{wr5#gUW>#k z@lyLLML7nh@Y=IK1aP#^!IURhRiGyFRNs#PjYNInU|MqyshqjJ_#m4!F5zTKV&Bqf(hm+n*9!Fu*;Q}lyl|pOryE0`q z7yHd5Hrkl;RMh5}{Dz=P*e~WHxo~b@BudQ@(wt^ib`8T4A{8w}PMsS`Z4IrOr|YXQ zE3Nt6YG2koG^$JvnNO;Bd4Ss_?_>M`d&HnHf;9>(0qnn6()K){QS@+sKAJU(8CtB_ z#Mry|f}Nhx$up?RI}AugZhXtu>40nN=gP7W=K0VE{Y89DsIpuas%DKzShT+URUmI)xWXe`# zT%a7OC4XA{9tv3m7W<7>F6wnjhdgDs(^$WLPUkR__&gAI>7&Rm3+%?(C1>-8JRKDH zv>o`MH*AD0yIbvyqDa44B~XgD$3JCxF80P4|M27M!ot*eR(+RGJ@+oqPFzfM9Lq!c z{9}w1LG9B5BG}O*$D0qyquMS550hMXyd{wJH+MgYVf+x%m^?wKyjJ92nM!!KA}5^% zFAC?_ETSjmia_T2SJYy8@;XU`A*V<>EC~YRR$E(ZOR(R^wttp)8sA=sA&TZLebgck zUxr+pTTfz*OBjD@=DhDi$l64I$7+#9Z#zp&l=m&$)5KN;zrYK08Pht7VjKC*Vak`Y z7c4M1`7-HyMx^h{=NDV1F~=)Nqebl3cO=jjOpLtzyU95k!+P;_u@cIHWh{!zn|?}g zkyyTncck53bY}*Sv~JhUea$^x5?+!OnA~U+yOH@b6Svnw!%vIzRDGMZeMe#uLhnc;k7!h78^OT|gdV9*!5qF!R^N93c=QsFlIt74NZNWYlNYtghN ztDnx7JX$^I$5>l)Zua5_jm>(ObF#WZ(x#QxjmX4^!9uwSv{f0#sXTgTZ2J;=buA*e z5wJf>G>7QmGU4SYcLLZNIA0ol{Orywf$a6P*LY(Eo0r8|%(vGlGsf?*WR9_@ zu17qmWI$0Zl!$l+?a!_rxIcn0LmwxN&Fz~%N^oHy!(jcp(aAlYyKYW~t zepT@B+40FvQZ(N`&S2vO$PVK0fa9yX*@OkG#6tLrLd~f@o<%41C*WRj z5$!cstfEVyY5tHwZEZc{f2~haBOj7n&h!b+A1$%DL-J=7)r+-!Uq^W!j@z57(FTIR zp~2qPu9P+n&g*F@rj5A}NeyRDA_pu39dT_&M-kjTt`lFaGHzOWU*2HY^J6VFM5^;y zjOIn|>42yJe8&C$no*mP`^Jrc3$9_5i;GFIZHprpU5^|y@1~;)o97lOYP6|SZy~$#TX{R!8ohDx^(|M;EYt>cv8y6w&t=v=o${+v7wQO@6OULN7=E|BiafbfL08e&`L~V?2Td~?F_G=zD(keaXmmEj}=sUns zK*4gW8$uflbmimulFF4&*Kt>9od^2F6A18a>s#DndH4*GWR{7;@}{2CSfE{CzRwa_ zQY1#k(fAA`Se)SZ{p7unmpWX-)=F9J_OCx*8{&C{$NB4O2sM(MoyLjDS+Dxf0EuPaeN#R3g~7HRM<0hQ%EnMRG4RR!Qq^x%6deKrKOMTf6z=s zIY;^=m2+<-O$2octts=o%PnFfdLicGyNz5;pX0tAfkGa{MlkCoTOVGrzr;J1w~HaM zk^RV|l^_8>EKI4gb0+(*nH_=jC3@nMOnlGkkPlo(2AnQ^K`hJhK)KUiaHy>7_TqM@ z4O#Q^PX_51^68^|4CCQZcJmR+}Vb96eH*?4aC1D;;vvW z=snfT&vKPn;%4vL$~x#`FD`N>p?BtnN4`n^BT+z#$aS+bj4~IRfsu!40w=RFUFJ(d zFPr>OSN{ocDzMq5l_1)zs5V0fl!5VXBP{Xyj z1}+@Y$jJ?P0^Ec~>baEX`Lj#P(Se zXv&A>Ojq_HTjlt>@+a`|RvLIKlZ4)LJnnert-k&d{J}Ld^d%%itM6s7vv?ji;~lwco3 z0+t@!9CmiGasfAN_f?RRSD>aOv|mx1``Dm3Ad2}EY#|UUCQY)@@chxRAs{genv+G( z)L+)9kM{z=S+)-z8Y zw{hf{q`R(IPY+pla%oY$=ObJXTn3^UqWWrpe>`Jlw$!)XmqCf%f);|u4-5G>D+(2> zaZ++Dznp%c;djpaJw(7Li*6Xv#6*o9ZVfx=Cmn7dM>ZuV0rp%%Xq zLT0y-RDZ|=G{$qsK2e?AiP@rFzi&&sc%iBz)Q253I~rM11K<(Q4P)!pW5je@nfwUE z?q6$UWl}SD~VF360jN$pC;LG2OMdq^^_e=HPJ? znpXqKt#*FSXKUb0=SSRHzz5fHsVq_7JST4dM(!uVxXjhYFNQsJxq?d5ltU)&Fq}G@ z47C)=QZ{jAT!CnK!BEGZ%bGQEOgalS8w~Kere1M4*$K8AbV$WT=*-51_)9?-{P!^i zD5VW^>;w-^K))FG(~9-{EFT!22*Jki1(aaBv^1n|oRa(sN+iQI`*E9lQh^HJ8lPV>wn1+wMf!B_>SB2moe87P#JE)L>H*B12<%lpBnY_X6Cuco zo;MsEkNEsVLt9jR+2}V{m((As=BR&1t>Z%zRN6XvRAAAQ7#BO}w);h=8WbrE#RYGG zX?Qj=81V3RZF!zB<8GYgtjWxyIz0?P9?-~@21TFyv zkbmUm{VSopm6bM(=vQ!?#s0VTeKd9MGpf}HYCImVv1s_E)FJsTj5nQxf`H)qZb{aW z&B$tJ81W@PTQ6KKSMBY|g49n6v8(nLp>Zav{L}PhExS_fQ`Giw5RBHUBQ&>Fh)4m% zLI`K9%bM4kE{35T*n9AsG-V;S3WR*4@dh)u38QlPP(-%2wQc*XugabS%7e`JS<)^~ zDyqj^g8n{Ex6CZNwuSg5CyeUDyujqXjY(!m`$VmTi>fSzD?+^^a^J_104rr=Jwj|1#4w=0 z2D|^^c7mV#0EFidSG(J?+ zVaheoi@28$;Cn0=2R`6W3w^(v={&x5mz!HIh#FswW z5Lt|({evmxTMX$_F=-I|keeHbdR28{X8|1bEe!G}?BT0uZcA7NgKofrn9OZXVDn6E z#ez5`njfSXoFQT{*VM!U#)Y&t6wZstpvas8j07guptC{T7gxzD7m9`!Y0=~5l!x+6 zzYlR3SWvZDtCtqAq`MM06lwN(Xz=4|yH^X z1>pNc^J-fDl!gQ@vc!qxM9SkuJ)W1%a%CTTqwV`A7JVHiK0ui&)cU)3k-s=Y zNHSBsrYqrbL4c?n)Le?^n3}c455+8)8Z4+!QQUx4@I!&?!p6x;LO)ZUdk4l6DO`bR zWPMw|@WA>P(6MK^>b9388-WM!5aZ~nt@-OKC!u2bEgLZnil^!j&C`YF<&kI=^l1JV zoq!vWxjd)F%L&d75~ne`(Ikb1TQJ>;W7}S!V0(00-(H6#FKnc5pxl=KaSPH2>Kx5_ zR_sbh5KwLpL1BXL?I`R|dmoV;r|Te}Wa+9Cuu83>)hx({&p`6i=f19Nmvis2swk27 z|8snYGv?pX8?PV|r!iTwbk4%VVurrsEYC9HC*o0uV(%xg1iE9I%A>|~`1wH{{r85H zx$<(n4U86jqP-$xUj{(>utz3FH@_oMt5rF>Sm+(J9E%=Z+cvjk#$#jK71hn@xWU9; zr!t{K2PuOwt1jryJr3Wt7-ge&iIdgL9B3+3A(i$+(q+-uRBFUa0Zm2U%CM3Xn?+C0 z{Na!1tV&a;)swHZT0vCl$!akceBv@(2e6_Kqn?$yB&$M87>$=)7}pD~O2)ErPyBzf1v|jU1tXgh}z7tiRA43KI^V<}SVcx`E7kuOHg2vA<1=;VSsH zm?FUa#CH#*Po}TCX8$CuV4<^%#=4Cj7`b90eW;!w@*B3kDwYR{CJ*b25#ps&a@EKz z=(hm{S^G}d)K2joKbtIAso_@sKjbuA(5beG)rdkYhc}-R5B?atGEDCrw2e3)>&3tF zlI^Rxs~|yf#*Jba*VE0pcxZZTGWPzF=wd&B(_yLsU;&mm8U8;oMPKEVlx6!&vP;rc z)~Po^oGRb#Z+VCCh>+fYSAhh)Brh;90tH{&pyW?65Vy}uc36oU!QCqi6YS3%H@`8F zaVZ!j;*A?!8-vD+my4mTP~yj|`wfkFH3$$?%1R$4$D@;jQqH|beEbN7?uvHja<_v@ zG}K&R8pTClg3xm-roadkdRZ{) z09|SgL?_$K@vs_V3?O}(_*5Tw4Tha3ZK_^Na&$>P3%U1(7jNo^=;`s>x`A>7qC?Zu ze34LvhC)^s*iuJ9X#hZ%o_X?AfZJRUW)MaYfL@zMI=_#X1Eda3iJ>E=l)WCLiZBaq zZ4GQ?4N@u|L!<cV(ni)=2!(pG`@Iyr{G42ALIjDSU|Ehni zH^Waw0M2adWEJszF`}`JE|wp(Xo^`dcJz_Dg(~OqtaCh@=V?9m2&>0c){N>_G z8y>M_rCmQCTd`U(f?9hl-pzm*3bP?l37A+D-Nv!x7Y3Gm?+T>W3(%N*A+iI1-4W*D zQ{;NgNU2Bf)01Zb_%KrKhG~jXAyjbiS8#^-?17Pm^DvbTBUvox*!%XQ?2kjg;cVj2 z$UUqbJ@P*tG;I@hQ*HB`(c26;42)i2CnrFcVh)#Jv@}US%fZTV%=kLax+likI`lJ% zpN)eIjLeC`#JSAz!K_wkLGkvxWt!w-SU>?*hFul!Zf%P;1_6j?2L<-*%JaD~t`W@m z|0N;UL|cQtGjot*41hmT`AZ{0v)Nv)(sE*pQ*eh6`TOsIJK<`bD?~rDP=ANi>a?!HIN=`u~_AI+HU@!GaWemXaa>OF@pGOvr8fJcyfRSimAw5Sl>ep<=uwN8B8qoQAL$j}PWtvo|Ou2k{fL1|9c%|9~Hs zTI6jBYQ!MPU>T|8yxIql3C#4Cw9k899px7DeYJ~ka`QOKw>5Ahzm&UFSfg{iIg}qR z#_s<);O}ApoFR1Pe~t$+?;Kj9TmR30FK*!8a2+7ot{|y|S2xKnjXdy`$wPai1+}x+ z5?Ng^n6Uat*&f#dZcRjSg7^Un{NYBlb47l%9b6!z-;w{Tr6hA~*(T&Xtl7W&=-`6+Ve zTGC7Z%+omdp zHPBv@#80F_iIek?T%iuJZXD~cc$2^(nK*(Zz#zP$-<-f2GC^3rc6J}kLad5zGzX4) z$?=nv0(q|iUAljL$$bbBqCBrEG|(mgOwX@u;m2hxTS$a>f-N0S`_hju7YvWnH9(nv!iel12L&b2J)yK^y>H0qud}mi zyzQI^-BSKt+#;(~Pf&`z!RyWX^X9incMkjY^Q|weM?DSnzh>8NdU3M=w-@e3_|vf{ zoVXRJF^`x{{q4iXssri3Y`#W*&B<~Ya(1YFrl8M{5&FgkK_QVo>|z2Rgk4s@!a|9M z@DqkOwyfl|d!zIzSQ@~G3|s7u!@n8DL!%z`^sF=pQ0ri~A=#O|;hT2ENLUumqnAq3DXK{IbT&WtN^wC{uU$dH$8dh~I3^ z->mfsy8LUV%jzSm{k_L8{VzDLi?=NLP(1WNJ zAky{c=VXMFhvQ*rDP8v{decXfC*N?utAgYz(X-*}gMgYsK6zM(SN=xO5;ph1&f(OKx9B;KJemHhrNJ)J<1cW@zpPy zRRcHx5R3uIrb_k#E*%CD?*l2!UT;A~VHiYwD@$rZ$=64Kf%2-pwzVEl2L=_R`<}r% z6I-t}C}eV8xfQqw5JIqXXS1wT#uDrk{6J|G$@f`z|IIz^{U1MnR$A`YQq&$^eH_LR z)3$D(g>_0_`0=c?;df4Tnnm%gbXe3KjW0x3a27^5Fr}Gki;Df|>=4uPT=qQFn*_5j zrw6W`ht06`Mm0vE{m{{?u$|%1I~CjiHLySB_$&U1J+9$ahG?(XX25QN9^*su{a4#+ zM3m^iLG<>zByC(au>7R>hfVuW|LQK!|9PhG@sEI>?FKJ-{pN4wb!fgMC(%4zq+Q?< zA%6$8zsl~SuM)D{VM6h=b@11o9N0g4oip5qu8VCRzjW9+YygN>{_x!9^8*_b5>N5y z-=6P&$n#7yF~{sZu-Qiy@79}73YlRn&RtyNWa>)Xs(O?B*!p9Z;@*;4%60XKyw1`m=z8<1N4E^;wttKYIthUzOqayIpyapIj6*_UMMtB_8!M z-{+po@98Mt_Y7H~#e`KgukC6sguan$4*Dm`z1ZLSE!TlZ>UJM^D<1uEA3eNVC8p?k zh1nJrjjQG@MG;3HwLNRVoUEVtuR5k9?(xrd`#EE^X0!^Nae3DwQBwJef>T7#+WWgq zIoYdgvwzq0hg&p8^mHlJssHIKmuFKmWwmj0HP(g;r^5x5`ZYK{Dt`AeLN;aztn1%3 zH<7uiSIcgs+|K9V4FhMwZaJb*;K)+EAbPL>4!#^VNYBXEcx(XzKAa(QhjDxQ@lxgZ zy>GtFSli1rO&`dQjhEl*JKQL1#wKS8b*s6SJ!leR(Zq$s3r|yf^xoM&zCBUl2J%?G z^QS-5)7{d~=Es7|yL`QS5>Pld7)o|y^QV^ZL8d1A4Bl*#7rPc78r1rI8sk?{Gq4Dw zn?a~d(mB&JAaRDlBEZF;R6R+2y%DJv@|^eWrN5UCpBw?1Hc!jKG^Ka`lUT>S4vY-; z(zryTVmK%9quRRIU3Xl)8w(|TgY17O0T2MZ^?ThWN+oUmFHAFY2XG%ee~l|!toqnk zOAUn4!1XbSTqoE5A(^xOD{?;}g_Djc@}$s;z;zW&o3r~j=@&Ov*zj@7)%y6?G*62J zMP-;~2a$BtqC6WP>1|lK-AnvT?;2Uxw8+2VVD$Yi{n(rt$WPP9ml`U5cY>cp;hqLp z03e6WeJd^hWGpkApS4RDj^=1T)Vsmo&fouGmyaP?j(>@lNu%61rsz>JRsw_&c};Zj za?S#hp@8_&Fy!>Fiw-q6{LvMa{cS!$b8Kdy`-ZY4h=PncX)Vd0i|rkWr(goH8%tkh zWC>n4!W)XThGpYWL5i|!vwa)PdF$xmfvYu4Y5ZD8mIKHq$&vVPD<~&vD);xH*Y2?L z3LY{fSdJz2H1h)vxQzHbw2SD(ZwAd(##sGs9cd=;lMQeUaL|PoqrgvZIuct%-C}4% zGQKci0GK^XcX>FePA_-&(!-$c^6W-jCi^7I@Vejc$+{} zJLB&ct?=VF-|xS~5gdL5i3J)%-)unZM;W8*5{M(PTI3VewdPX{{-~`2zYt0&d|f`T zKlJ1D%4Nl{knH3ZRv43)Gl8_*gcA?As2^dg_Q!{J&x}NqQ9%&`>qd0AADq;nle0l= z{!?Pd4H#W|FD>a1#Gc$5?TB8kN1xQ=L zbuA zD@$F?|MIK**_PczmD6X^l@V|`r>EB4D2mrDxmO3Vq?YFwYVj(?8n-q}L{cL@J8Jy(*DKt)iFmqXKKkFL zf$bnoseAqS-v^R(8|#7J=Vg#|0rdqnOuIkkkqP~G_F~A^1E&YR+CumH=b~ZWG%Mt% zs}GV2kU2l?_S4i$$hM(WBpE5Y`Y^P$s%LRCl3Ofht81Hg(@z*u&J^&IgD8@m&5yc@ zLR+}o_Hx&%jw0PvAhPmu71Wn5m(_7ch%tKc{NyE6N8MKMT*6;Dken{1#Z6WgyJsB! zm%Kb?uCt!W1-PD<+z@yAnq+#Q3PyiOT`8_D)a7HQ-18;)HUl@PsakcO zf$3w{^l-GD;D^Ux<`BWDjs{4c*K!@9R2@>w+O(g)<)E4vcIJ_@ zkT<_dtS!Rm?sZUpLQLUN&r-IaxZe%%vWd6CiDnU*oG%~ttqjn|S$o}?39}l3xka2# zSZBPW4YUZP^{8 z;9Ve63v=+-%!twsdNuZpd%2@M{2009QCs1LrNYL74TVHgU&vh<~ z*!n5W#+UsRr1TU2ksx^{1Uu@@9d5l=Zc$+|dl-OF`w#5ks2QiwU&0t*6`+#O4H*k;L6VQ|E~PhLazh;M zUPmFR%#%8^toMDaV@1bc8-Hck)?m#yjrfPIl2_wFNO;;ywzVM;w?e0_B@%XDTaMxN z1+ryB7?5d;=1@)DD?Xoc9NA?ZvgW}+g?LuZa8NJ`(M@m*7vLe#iQ5uOtLB(j2JB-X z+fiReljx7Z1tF|mZ0bJ}_9{IVRw^cBzLSjHZB;?$0HaM^UzAQhD>|2%bjX+QqW-ph z+_T~D4A}pyS8%YzF%AtSDDD#QjTWWz)WU+M2*Tg0hrkJepGMTULbtoSTq@@6Q*||d zi|Jv8v(3y~-Cz6Z>rGqIbP+{9?oY(t9869B1B%2vt^dJp)Gu3jVpQq|01nX1cs536 zkh*+0Ie>ADR}=!trSw(Hle(=2059++jJ3{LuC1nL4Wu-ILOoAgvmDq-*KO=)VAz?` zr1#EPwsp!5=7D+|SkZtKnK9&=APKw$s4D$a!_>>4TU&V=q`QyRHeMTjN>|hV9i+Kg zvjzx(SLRaoEXx~Soqicc0_trE#s9{_o^bz{HemO&V!4l@9mV^tq1G%!DkU8JCb9>p z>SO`)r=djzyJtHl+!@#^ugb$(wRcj?bLc6sOP=I$^bH|DcV~i7HFHOuHKZl&G1WvyCuhfXC#%HN;WY z6A#Ndq`Z|DKQ(pjL$~cHE9o)}I^Hg%4>X7F+YF>1NVeE)WJ|YS2Cty>!uq&lkzjdr zY28uam67V4=g%6uB|YA2NnR5;ozF*tU!?T!;6D)sNpL@ja zT3spM8X*qrO}7_0``aw)jI?1g0IusWA>b!6&Xn`tg=9Ho;|Y|IwVJSmYm6SZlpC82 zrsac|O^zDbGj|+6n)b_LMi#^CyQFLjVF76aOLj=G%zw)OxIu%j?F8>iu|zM!Orp4r z*gRT}HzDy+{_o|f4s7da%ux^od85NfExB`r^oT%n{=I{QFply0_hCPC21Zzy_4KU0VjZm9`aY1<3>$gi4ujF7I^tujYV^}|9(Lkk6`4Cjziv`7pf1cq z8pNG$bIPp|MkYEE&!L}E+7hok;B&MAU^(7^Zg<*SRgJJW5D8gSPtgocE6*rw782)G zkM#OR)?pg6hsH1Qlt4CY@_gFZ;Y=hhv>5lKl^e$#zB}SUp`QHa(0o%Corqse*Xh$} zQ4K^2JQi6~sX=6`%J{2BCwcXdMjKRa?WVG>`WL)n2&nh`#?f>yn5V;Xk9yBvV!e5e z-o?&H?P$W#wf<|Fp2AyyWUWRUMcQWK$n_H_r5ozbpFnCtaiDsb6&@ui8@yDvbo>M! z%F2s+G6GYsJWD(U>pclceZD4*n|T=okG`lHYVEt9667b97QVR77Yg_mDowI|4aePV60N11hxikg*Me_FumRQHD0 z$@8&I8)fm-d%WY>UUp;@IBS1&I2x*q)W3eZT-*{7-OnhgPHL=Qnk~sA!h6nnOP9zF0K4bxI^U$L@n$BekbXKFFy?%Ek+Qj)8QyZFLp9mU!*T z8D=^h;6LoDB`NN8Na#GAPtF;g`LB?Bkg5qhaG}$jtIQq4-Vd>U?h>#$Qaxw!W-*3f zj*ym{bqYNBAsiF3Mj^$nC%;9qSz9>|>sLLT+{Dpp{#^3z>cG*5^ywZaOT#zG zK(~3~VzxTGupTZSQ&EC3Rqxlx@{&ZdHT3fe`A)tnDKsk>7QzdHPEG%OqoCoJzfx9h z6#TgMJFId7;2<4+u5N=z_E!ize)LGn3*W%e4(06NAh!o%F4`p$V!tcsnF~l8Sc0bS z=2s>_RtV5(DeYU@H6jdZ*$@SNUPq8>B~E&kc`(#?*(LxV#fkMkqULe@lw!#l_t(UP zqAo;DT04E+EMF^=AAwinJe$8Qq1?@STv-j@!OAAj-$D^Kt|~g>!hipvTVzCq{V{4s22_O06q5Ri*tvcLH`H1+K zv1B9(5cwP~@PIKi_(>muoM|4*OO6p!EXf2{?_z#Ft-NeHQ?dO8Iq?C6PvFYlFz+LJ z$!aB^R`quZZ*Ar0)3d%zgZ_kr>U~-U$ck;>ZhZd7;IjW9(<6?L#~A&;uAEV+H$DPE zP{a13T9^1_jkloi&4az*KBsXrYBO^spZ^>_5ptxp|1C@rF;{-(Q)9NsxJ+dVbpNbl zvYm8)pQ^e2lu;n`Jw@ux-=t*^>Y3;7PTu)lPB;ItF-Y#oq2cG#zBc=N%8du#s7q z_qw?xlgm*sd(T^L!QH^?`i|GpW#)SUr6n2R`x2KF?7>~$E9D7vPy6Y#}ZNu@BmoTtd9=Ka=X|*LC30rYtKXgi`{Puh|;$1tm zoGDGtIe(J56GWW@Vi|!aZhjI!HE{XdrZviuTW0BORQD`{p*BpwMnD8;T432WRj=Z6F(#ZXf}UtG%9o&|CP|Q3K$(& zOfS@C$1>eXRSHCZa6zH@qDW`PLC%?qI6QKi(!u@qe#26OWTb}mq;5xtW9^R3QJF|S z0|?Rl$?TM{sr(LnVD{5~lG7s}D+OF@!2Bt6m9`e6p)!x5oJh?wNmBcvq!aADY)*8N zI}qeo_tLXkqxyHt@_(!tp_UV#)y%

n@}$X3IE9EGHlGzh6fm(S0^k}y;WsI#Ci#3W@30Z&-~p`& z4OzPaq|f*s@X_BQU(F!;acU+8kQE*Pyn((I+`~p~VM#rstWIv<6@cb3llp=q7j^D} z5P$&^I=5c5=hFXlSDa730CL_^YYuKu|Mdr|T> z?lMuMa6%L=5LHU^NU7@8hdDOw_yeZl+tL$<9SdRD^1Sn)q<-3--oj%Wcnv=-t?-qo zrCWaQgAr!~=J%hzkHM!%)5MeYEw1~!1}Wt$+X>o|R5hI|ed81k9>O1m=c8C|cBdoG z!l;u#WD1n!>JAReV9j&D(g3#kZ(DY?Pu_(mnq(Aad-wRbhrleLO;ZT$P3r~kymI(U z5u09huw^U&VTU43T85_DG?JmdI7DVJM_?=PN0E-lIsR)tF?@P?JO&2BK&eL z0f_LMq2>OqqD4uT%Aeg2FVXKiT)Di0&BXB#65$RTKn3-t;SRS(7P9sVt;kH2!Xps}RWS8XTQvPImeQQCO!_@T5;Pgo^5a1nz+H(wv z&lsVK;gHcbOeHtS3otvAxL)uMaX!KS+3C2FN7nB`jl2Q%D+HT9_9bm)Pt=KOg)1s^ ziDwGZUr;Si=OeHeX=^XoD0kPvCXmH@o2N4pB0iyy-F`wd9XhWL1SZ0sIHQ zuys)yvV?Spk4u(3=eYNW$aE1NFqQ}`B7i%nW zn@}#xQil#7wpcVQ1N%QDFw&?iQ7~gxmL3UNH6QRlajlO9;T`Wd4Wn-!e^^=Dl=Sw? z7N+V#3y;enj^AhTT3m92`945bh~KQ@&ECi~l(!3&05E3J zeY^N&A0^1{0NDMgJ&ZhMwh- zEFnvI*OzZ=;Vw~aMRZ2%1YOh!zx=-Z>hYPxP-M!glH#P`yKHBIAiH#E;#!&fCIKH$ z3PqDTPlcOnN#jyk5Y`lpw(@GdyRS~+^c#5uC6^0Kje0`x<(tK_uLdNd6EfA9am+Ru z24gZz>Wwzno+SA*m!2ReSxi4{w=6v6AGT3rg*$5+LC2+>_s=qyY&2lle&7bUWs-s7 z*`GG=eu86`F)3+;ICqGZ@E%!kd)MjtAtH4L?ais~_FGMHH3+$(Pv<6MvGe>H2M1aG zmSiUM;nq&lx6x};j8Z359&JPvFrWk{<8fwP6H6DJ%qCO%TCKJ1%_O%g_G;Tm8~7<{ ztYDuwtA^h+Qym>Tbm1*X>C@SK`Oanvo)B+SDed;-x%Vf;r`LT23Top=BQ;@$4GExZ z#Eu-%nk{Lke2Q|p1m`e@CK}7ve-?oDtsr5NIfmd7wJ5LE*A}j{DfqmAJur!Y9TPsh z=AM!c-9HbxUM(StpYgyzAXiXO|u;7KFRN5wViDvycbgm2T2( zKqG5y@X93#cK+@c&`|!PI-vJvBLEY1+s?|`QVKS_hIB2GhvH^Lo+E=R-Z~l2 z4RacKIk(H%f!p8;H52q-*dt8UjXX>{PWkiSY+d04-7**;;0 z9y89pom>u$!zY=NlxmPjA<_Cg+tTb2nAFoz$C1eJ4ghm_oU8QK&P=UjbHBp> zc)FG@O0ARF@JndJ?ytskE{pe0H#6uINN1jdY(Z;}Lc3c6yCig6&F9m$yt4zy+b482 z;pYkDUKKtAFH*n5R+9RRZz?3Y^aEfCK6&1Fobh>2lfQkt-&&B^DblIsp0EJ3?12eM zYZLzAB<6A1gPIWC;l8tiDfk-fJznF~04Gyeq;>{lTAe%gg5H5fBRAae3D7k8qt(>N zkBa|;f^vVSQOboi3)WW;B*>CKZKR~lyWD#>#{LY8v9!JO1A8_wwI>5j=bY%^&NK?z zF5cGhA*(dMr)ogVDF_AL@HwtXPi8MQUTvDGL+X3HYHYsYmPCX)Avq{PKgHQW6kVu_ z3yk6>e0uX8DTV3ULl>h;^7afBr3_~wOViLnY(j-CA@>`Y-JEIsghR=k!jYXobbM3m zujiQrlJ{Kl9`Lj!niM)vw(>_aJuJvLr_LRC7INabF~sRgi{AwDJ{IphXLR7N{;Rca zDj&_GX1t(x5IY@Up^Ba3#;Fgea?9&O&LV&4sV`_24!4(Ub-Ki@%znPos0r$z#A$%> zh%)~uh;4a8*ePF@I3aJ1V@K8oxUL|NKa$L2=P9s&n_b&+u03(JA8z z1tB-D9YK1sC#eSeHe;Z?P~msLgB|d6z>!mG7!B|#*2m=!9!^%ve$GP5UU7(1+L4@oeI5JZBocxhy7Mp zi1ENg0FP73fL?P6KK%sdSXqVgWo`TJA#i3z&r*x8MM+2gnQB8U{-(V`kUZh$5DHrY zM9ik+-3GMp^e<*{uNr<25_{i+T8W@Pm=?j~Bia*+pGPz+VLo(0(|IB-E_E`1-{gjM z3>I8<7ex(Uy_P{gX0*8RWuC9(BBYz{M_|B8dM%g|g8Z<4t`wph!(}kNqK3p&tjodl z1=#aK5|?OJbK@>qPTNV-52R{Ku z`QblJYRU24ZUT7MAAIUST!6m`!9{8qU-+(Hs>wdVJynAqx1k#uTe8VHxw`c^yL&|d zBN&aTcrLrs_$P7RZ$8WT^N_)|#&T2Qb)d29eoaxp>P4V7fz-Lzo+ddz(URqtoxBx( zXA{3ok^6}=!@X|ewW~Y1(@%^wUbP`&^JBT~RtZv3<{Cz?YOTyCzR#(HE!@fxq;RVf zA&f=v)1gSp;js#Ew1gPxx zPM``f(jBjHP62dF&_BNpJgLoZmev?KS`O+83ooWcwNsimH%LS3YT&L{N*s3b*aDgn zSE2H_R$+;JF?s5uS9Y?#K^fI)jIj!NZaaXPUB%zw_qC00ER_e$2coAELN*kb3Im%j zih}i}8z%9p`ApmjipXAS(?4?UlL%Ne0~S$Djy#OFw=jK{Pkc(zLu?Cx`Ya*{XKmm# zt+WOuCW+48>#-&(boK!}!x?sp84;O-qx6Kjy_^Y6u1;68QT}l9WW;;0kPy;2w>CWv zqe$qUm+}^y z3HZyXF<~Fbs$X$aIGA#q82U#-@(8oekhGOF8_?`>b|%GO?d!q<2hXcsB9+wy(eguy&V6J!k+&vN9J+FN99fV}ktbk||x@0V%UTxKc|o;cZp@4CBOM|n0# zY2=wQ!kj0qkfNu(Ee2Js66(x?X|YA&HfKE}RtI^jTaxQ)os!$F!@Q=OK6$xVOCc0<3 z9w(`v(~%~zQb(fGuS_sikG(}litqAtfrw{J&9tE#MGG*6I8BmAu;KRIUVCW?8<$#e zpd4vF4h%D^PUU?g!X!jME}Cq{*~^x~dL7;Pp?UW`(A{`%NEludF`)c=uf7Huj?m}X zn8{PyIUd>5TtXgfol7UyRl^VL%7?^npCZ>|UfRSW-uob6+=hlOkyuyK+jzLeU}Oe= zC>Lp-y*kP|G0TGDk~c_q2Q&KRl*_3O@+_g(aSPpt0@qqU=Ua0omP?oCyWUpA(C90V zreekTkZ#jd$2Aqhop`xqh$L3OV1n%5V)0&whHo<%q)3uY_FZ<*0lmrmfXpcLP#t&o zY!<5Qr#d2F2Ev-O{b$+?*pEnzVqnzH+2YXeuu2lX!U;lnSWoURLGlX0fPJ!YKgK!o z@joXy%4h4~djuTH@^Z~ML%vzxtk1>7}6r;%h)dd#HSbr3I)Gk%k*7gsF9@otE9Z?}&op!TDH z!iCTG;JduqqMYlIAjk>Be9WzZhb2!@`m`Ya$8alan(QB8eTuZ!S`*vl1qCJ*;bzA3 z(zzq1gpwG5{r5M#awlCMQ%{o<^jK}Bki{7xA-0|_2n4$6k`NS$w^w?thB(j^))dn2 z-?D#rRit3@+Byt?@UlN3h6(+4G5q7_0TT*A8y0tA)0{xK9Fe zDdyaVs4JIQryR)FgG^MB#~P~WT2&J(Y@OaM5HLTVPL z^L`;*`USw4^Zcr+0V*1Q+huA-yca&!?|25lEo{4ufx+r9cmMZok__c9b{7`^5fbHl zTc}H2HePE3-R3-y?UE2L<-^H@r}HEAXD44(;12vB_>%xlk;YKhM(4^(yy4e8gH@%ruG$ZlR#JBFOs=;B)8#Xx7^sn^XgBM|e5mMCL(Ql&x^1Z#wao5Er%_ z)jEU&TEp1U9RPVw%fmmOw2k)VaBTD@rb1Q9IR|KIGNY+We9Sv=IzPXg{RmdGp3soc zR%OSd z8IOeL7P?nq23hDr+H>D5cw+56bb<&?4=dDeIL2xV_;8Nm9mXGUewN?!fd{VTrAPoN z`55!Mu7)KKq#>DSd8F=B@pGS^bBA3D)=q}zi3t-G9I0Bf(yj{D;zykMji^{T*`feS zY=d5zgh2#szuvL#zvvlrRIUMnHbCzG9;VVn8Vy0Ztds&Eau+l^UQS&-Mju9Eh*W6Z{@~ z5*QPGLrFpJX|{D4KZgI9NGCTCwOH%2@mE6ABp(|Z8)3Li22)-GOe&(u;Tdu5*p<6C zb3qeKQGWL-MV8O=S0?CgO6!`-jvW+{n~<7ghUW?8xC~hwM{7!#nfw8ox&5x;UuOT< zXU#S*1(GVxGJfp6>}9M)6otk-+z&cv7OVkM{i)aw5_CP5_4Ew~xI%^@ICYBnVfo?8CD9BBhk?5qGhzfhVTGgG8(@9gKp8Ej- z%|#cZx5XftE2rjEY}R$8y$?pcjA08{@g8Koyzp2eEz$`(Kn+6fZC5L^Kr;ac*#g5b zSio5D>%__UJ%GO^;O9D8s9nB4IHoUm-AZunkz?4X0ufaRR*62@F>iPGi6z`t=7{ZlrNa6?*Xf6@mKiVUDXUUcaFo%!2wAsCpH_hL5CSrP zJ0`q7$aniImLxx4A5h!P*)>4S!V?C)MkvC}H@y(KhF4bXZgD!b_ z_jcs2h>d$^wWam(%~ZcDC?xC(CN0W|zm2$TMRt(1#X31w-&;VXfyOf%_REn3ecqQ6YL^-L+dozu>Mk zE{}ZUj-im#0F#rnTF5R!m>N^`g0xzI?@M* z99z%qHyMhmT;U4eda^uxoLc8Tw*A9^10+Ny*H#?GG6m z!xzS|Y*npax+m~aU!n+8l~V-l?Qp;zGB8IVZPB@FDVqETd<1gMatgKARrZ8qVRqjF z5_1gsYvAup{|A4vJIPs>(*f>O^Rf;Kj>xA&r?w_*t0jB^44Gm0b+PXd3@7+p7kTp@ zJaAa0Sc}n%Cx%2p4`j<-`E{IIJe!+2YmU(*M_cV_fi~L~JKjy2Wxpw&=Tn3ZM&YVb z6iAhmo-L~V*M&?$kbM*$^Kz!aLw@(TCg0#B@A$-~B=1O9LAtWTSnfg{ixSH(>o%=k zV0^P_d&YErkLd){5JY|yj-2S*IZLe%=2GKorPIM*xB4oj6OMYxw&|LJ&5Cb-kfTyI63Cj%ShB&cxTqMkTQdX>08vU9Sx z0mC@iamq!a8^|D}^{vDQJawz2T(l)ifL^|5XvUzr9D~0HQpZ+ssH{IHmDB|AET(dK zD=!>d{86dp#A%g!DB2~X8tyE6=cxYMqk2%0)KucZiklXGqa!O)R8ig{R&=nAqlDW! zTq#LB3%*ByZq~6IuTCF@`aX#~HZCRw8>?!xzWEx(2yWFm1HR+>%yf24$CyGlq}W?^ zi{qnwjn+8b>mnIHhNtbg6x^hX!z{_eA$J(4a#eHvR3B^x4z(K4_krrZjsKq92wJ){ zUa;@uvh$ulsHb~l3ktq~HP^cV^L5QPL{2Hp_2Y3x=GRL93!@7ZI)+%K)j9=2hjulh zzJR3pu)mrl7Z_opZlaB6a zx^f9Q8}H?EVG^DL8-hak8j_g}Xk=id6S_2%|^3D>;YWFHaq)E{=`5Tqw?ZzqqxLZ#tEIXwopXcwjY1^QZbbckoVya0} zW#p51khI4aWQUilt0){olqy32qGPw!mhPeY9I9rN#GbB2KfORVzrEWQHtLpYQ04z# zMmmS?zEeGBo-;vL*G*r`W*&igC8H86IJGn-{?@E^%^`EjwNBcLrUX}$G289A8-%~@ z+$jw<%jk`xF3X*_b8d#h$UjRTLamZ5vsDgPmYXCNM*`(#ZhD#gqo64$_*5_1x@!IU z1wa@NVdvfEq3tzQ2X!*g#012*68hEpESA@ifrE9Ot)!k#FKbl&JLqXWm9#U6MFoo{I2Cjd=B5Z+-He^wu z5}Na0uUorWGnR%!Xvtd-YwvbFKBPpWy4OZ2qZH@i7%q zkO4vt4vkQ`+8N|JCCpKlq{n`cw{2Q$^$1t@QfGAJ(WjHv)l)NZFGn(ckCzy{su9Y! zf?RUcm*i|>5h7QLs}t$Rcio{R(b8!M5Ni+1Yk_@7LSi(lnSAr{&)Btva~r|gD6A@d z%(!x}G>#nAlsKJJ^{BuK@U^;2&%H>}pU0&hjPf_ioDAx(Zk>2J&h5LXnQv-aTyFR>0HvXp2j)se-n^2Jhh`r=`=PoF=c0%XGDi9~Mcf~jUY@cYh=xd$xuG$W1rA)<#{bpm`MsTqjU|t=2aJ@yuZ0@ zt2!DrcP1U=%tOkjRVH8MT}qcsPW^O_d<$lN zXznQK>D~k@UOjnr!sQjHVwiF@24rDq?U$%a_cf z>xQ*@Pwqe3Npq1tS#umZfyPlZXohny&ZV^b0{!lZS<&mgMrUWwN2BBj8l{%`vfVcW zqC$5bgag{paO_9!@}W85DHjG5<$$EuGL+9a`I&GAnrw1ICn~gP5gGh?JzOC%fE2_= z*-pm;*jE$k<#ZsABdJ=I-F)fI=200rY(bu)0>&hJO1TaaRr66xKKn4diBaNypmo#F zS7#d>D2SZ4xXHoM10_+!J(HM1P1J^Eq$@dS652oI@_pbH-5Q~WgC#^@PUODU%P%=M zsmY$io11-b@t#>u-?gU}3D}fFm*YVVh^a36A@RW&YqD2IW`$zl+se~DnFx(+MB%%A z9Jm71wmn1T#$oY?TEj8tXUp*+IYFoIdI=ZTVQG6*f0lMd?#C-ZCl|7rQJK${zCHd9 z(ABT=PxjS)v`}6)<1)#QsE<#T;lO_{+(IUO<;7Esm16QLtPT*qH6yG##t7L;{H?jmg(Nu5Pgzntj7))+oKK|p?%y! ze04~oEUUi?JWg(D932;xjP;ZfR4vqCZ%zwzq{C4a5##NhYvksZnmA)CmOD(-qH<%Q zr2NlTt*YNocNpzX@`zcDRFQ<1+U0aJm_kZ<&2I(6f}}gO;)a*=ED6J4_T5(|+i<^8 z(KR9|ELobKAzY<0Fw(vDa43lxPAQ}^K9@u>SSV0&g5-pNO6mX^ZmsOl^E`az_h)8) zH)83x2$4JUSi6R5r^d8PiyUd^DT}>f`v~mJu@}9qf_d(}xmG8lp7V0VSA`q*^%7P)W1bPSt|}t@)#rI%D6NB0&+!yhB>unX&Cr^}g&4 zr7>KNu;&i?Zs7_%th5~%IuLF;L`;~kET+bl!7s8GWlD%K83pE0PA+(U)6L%u6nR1S zjvzq^U9%4(9cWJ9WS7#!Lm|$f-mfIiCDM@%H_gSxnWPeSCYvsMP5a2SK}1_xEc_J(5ZliEcF1 zi{wW$n$va(wWg|Nn^uLWBz-)X3JUNZ)g|hZr=g}k|HOmYjy8{$71O`J#7SL+&~~HZ zE=;oPPssSz$J+HNg34xJc5xFPP1C*ZfoHXwdiv{F^DDHocT0$yTRJ?Qs8<*?N3VQH zI70gOR&qyt&Doe=B5^z`mJfS~hE%1;RL6*$%9-$`9lA}M{lJmOPJrx-tUV}5EVG;_ z=|FCw>QvHVGTv`j=TlD)aHe?i8J-1+`P0^$^_Y9fJ0>V4oKLrtuE~jY^UI<+6ZCF> z;Iaj~Ft|TEr6fwkz)iDQaVntUFu>M%-L7e%w(a2^@`u;pr|*WI!(NGb57L(Y19OGH z4_JnfWrO5dJ!_}CE<4+D;G&h*O;^yAMguh>?h%HFjVT#LSovv2xh75_q-G%5OuCMr z0qF#2SAd~qxTjBcv5&3(wfhP!PnECSp0RvdP!h7GDCq9sx{Du)7KV43y!K*e>TqMTB z&<0_PrNTKPbUf^J09v9OVrsd_9)mT zrXLhr8G4u);6X1Nue zgJPu%(_kzUY`MHT54=?+>^0&UQ={M_r`DL+@R(@Zf!#XwAdC^aKcb9^A7+u?qAgs6 z0yGGDhVoR&%(uCe)xLzg>3@`%#HT^a&UsM8JpYN2A-Me|Ex*PrzQjXjGg`%0@4 z|6pktsu<vC3Wa1_y=Vww)hBHe>Mq}l4F7aPkpL<(OY;M39Ghr%M3_~Pwn5|r(bcDFrA8{| z+sQ>CM1=Ti*pd!2Lv4k8AG2ja5yT`dYehCH&*9Fj-CGY{m#`Fq^wJcQo9AZnXSFJL z>H^+S=r76|6u$*OY3pj(U|iZe7o6DEKMf9!jbb6u)tdUQZr(1xML>`sH369DpdChB zTLp?U=ZP@3FpH5pA zjn$1R_m1_lus!3~GofWnmFu~O2CBGCDk2ypFp77A!#6>@V-sc`eNQ}gDG z=P4e>ri*dqKI+sNnrhi5^r7?8r${Ec7A35UWgUkeex4Y?Pw1SSWRX7!i43WvhD3gdUtOMC|s8f@+$ea?a|mQiUfB;I?Go zplGAZQ7cWReFdg=MOSgx{*OC~3^SpMwJ$sKmy&TwvY`<7Sf(l*Ir_#{xG#=4G??eqfg6GqWeE+^s=SB{8Q(GuC{z)frbaW07Z zAhH@NlGgz5H!w(b?Ov|;T)xWZD=9$)TQtyPd{f==kfHt^40>7f_$)sjNV*kU*)#bR zcZer>hbbOqUJ|Y^KPut4J(JP+36ST}2U82YXwxa`v7_ae&r4;hhF7u;5BXnYn3><| zTzVwCMHPLEgds4`MM3k*$i}w4Ly0d|&ubFO4!khu)pFTSIKMmbnCn&1?+!ub+`l79 zv7ISLL!*3QQdac{dzo?g5Iqh;BGZz4RJhc=;Dd^Hbb&+kzc;t?X}X#{YqiUlXE(^; ziF@D|wuYlm7yLrXLBTDpOQ2tHzrDZ_5Ol&0!L0d?JLZ~Z0AHVMRp2K=1xg3{;VBs5 zGPUU)8QQoA%`spkWl_aIrm(tm=~4oLo2PE|K9>!dUN z^A>3rcmaM<4wd?>hc=P5pVBdWcpaykv3JR**nPDMdv!Bd!@J=9cR+5Fod|av)QKX% z8QR3w#Un03FF(Oa0otZs6+rU1wuMPJGII%CmLa=-jwdvtk*J@x|-$Hq)VJry&hRpo4JTgNptvrcPkOWM%=BWFT(I zS-phYCm^o=De+!*fm3V_jpi$#zag{8r&aRWrRx)MXi7rDHS)^m_vzu?lW>O14B7_M zviYXTg`H#QT7|l1;inxt+>eI)C5b3)({?c_U_K!&t<8w8o)5FgD;O~%9_J^v2v$eW zPiz?2PB`nQ&*!^qdBcJl0zJ1&(v*hqnbf(UrL(?E{la^mDR5;Gt~8chYdV8o3ZP7e zCJI20Me59qjA4}(HWmKN}2EWR_D_rWx+50e~p z3pPJ*_k@>UD3wjtmF}p6=f(^%%VNZ&0}@j&-$ow-JhyUI_~PD@l=j@dg3+DCe`>-m zool}xrF^&IcsRhHIxVs|StRoo+k(sQ)2C?nyHcMh>=SlJ?zqZkf4Wclkk?T6vIQ>GH52QU0y; zRi5N80*5wVcX)nFQIC6n0~fsVPM`YlMS7&*4o=S$M!S#KVHSq=G|NkH#BZIKca;%M4< z5vL-{Vdm%fS2TBSv-rjDF(yur=GLffVK7sfoRb%JQrPGex&TafE?7YN_D?OzNlR+6 z33ZpUd8}&!2sH(D#$#!`%^E>xa*q=VIE_E!AN3nnJVP#t2fOegSpc zc<9Gs%=ShXz76A`LfU3?LQFk`?RYwlP7)M%#a`zk(pk1-mD^&vRms!ET&-Zl|M+L7 ztO@wM?qam+Hz1lC^aZV?#$%SdX5DDWOdn%K8N+l5ZMziQ0JdF*Ibf}%2VhuLt(Dv{RBHGQ z1AB|6dm?OfB>_q+STrtW}VL0xmidlE8%HSYoWc*lb z$vzdae5Gjov-4*vGf}a8i{eqqy^$-aGjtyOeb<0XQTMmTX(B=osepdpIAPw?D8qp7 zL$Gzo6(WK)(^fq5wF@tt=!H7lm0j&H9%nsypjFN;6(ShUnoGoG#X->+nKHfi_vZlh zS-hs5WkIhEz5!CQQl@=UI3?Y7yV^Yqb{1nc4lLWGuUpJbA~K5e_v=@d3Zdc0^6aYH zipNcj)U4JL_c*D$s`8hKSd^wC9PLGeh(&exCgy4m{wS-hwni+7D-0Wn1mQ{$3`|cys1UMSeOqqnL@P);o;+m#Iyb z`@nieN$>&*qHHX^2_t%BFEcgk=2#f!r&W$I4$J=tvH(s0d64nMj%qaU3=&Ng@+Zld z0`O>4eZyskP}4(OjoFVUR#CT>*5sz>H`tV>z+*3IKl~6$_QuNXDZR`#9mapEF&1&W z(i_zdk5`IV=DtG}_5TMc)M|Uh77MfmaOE?2-z%Uh?p1FvcG3@I5onm{_i;^>>9t_k z!zccl4?5av(28Y+-a|L}g=dWMv>PMrm?$bRao1I3O=fWo~D5XdpHAdx3B6D3+%JrW}s-AI~|^lGHSNXj@eif(pf z-N*zt@`7%jx&^w2krIaPaikN>h8JIcT(rdSoS@&B!V|yOGs2PxK>i zFpdBz@2L_;(rQ1lf)?T=Dv~N*?^r>rZ~-lvDv{Phkd@}ncBCTa6mF!gh*Y7uq?A;l z*|j6^)M~V+7D;eDVP)}J2DM|Q8d*cjv{H|pBs{QI=M@%h315Jagt+5Av}Es438SDa zbyi{&0=>6Njv_CNP?Uo3*s(MREkgor3t9$2H6or;mL^q%tpYKvCM;FNsx*zz)}lru zbg&>5jWEK|dNqwO%2Au45r+7&V-1ZkUIPglLA0g$42`hhq&1+ZAyQdOBdi0m#Aj&( zt=n1};RNy7(t4!RM1R1R&S8WD?Smvdh=S4!Me{ie(ICcIf+M{R=tm=b1l@_iGSC{R zMk9iO*mxQdoF^E>VHt>4RHG451X>F{$*2Os2s9#s%{I`8=rJD)T2!c!hzSW!Lb!yX z87zsF5&=vlsw*M_I0{jW;6K`wrj;t1i3lFd4wY2%5@L!gXpAEvRnZC1gak?i$T`id z70H7l3`oc{W@Vu!+G7<;TM}*w0Vk;nEdELdLof(?fR$JgiND|#1SkSYgMnHZ&0L{= z#t?N(KtCri!conWgea0T5)JUoVMGKKfjJ3s-1!?Rni#zsRY%k1-=F?Odb0L4yB2e!HoUDRu9#ZMKQ(8Zn zLwd_~qK9)~*Md$#?i$cX%Uu|V|F9BLN?anvNu>k@B2mibDblQc zC2egltB;*WeEhG_B(tD2(~(X-?C#2To3$&AOB z+5(rdj4=0@FMuYGFO5)auD!rhASH2_g{Y6ak65cBniGY&PQDe)*;@TEr4&gAdDzgw zkD5B)`rnkW+izM!+il>R%;lCr%120d9uu(rrZP&%Tq?0|!@I(j-ey7=1<6fivHS!z zDCWJ_yg@5SaMZjZLo;CJ(iTRFkGY+Kv536w1t?_FDcYB?^9LFPyW?0@pk_g1<-ubi zPGL%N6tR3>j?;<}C#@nW(5#CATd8VcxuGoRW-I`$mnB2UYsL1?CCeP^2k=a#x4eaO znJ~{Kjj$U^pX|w6DFtC_>RVvGq_Q0CEa_rn&k`Np3JUkVJgm zwCtJHDowH8lHg|qN(m^+l9C&>wYf23?ORs5VhTf>LUF+;Qq7Sy>QhRluuoCO8d-FVX;u6io_oRFbq zIcIdWbF->B8`yO=@OBkzLSSb)hAeT=FFT4B4sT4FMEfj}CNMsNyle7C*x#1Y@xDxi zq1iO%^b}J^2LeXLM6*mHo!k`O-Bo1I#0qAZkRT_mgh;CaheE1d-74Euqfj4u?ZN1@ zGK!JGDx;WfgrfjMoWMKJ%Qc4GOy&p$(;U)(CjE3mt?$YUDapRA`<5y4ZF6fm|3>*) zAL0>)jH~!1+L2jU*$4 z3@I5lr^vgcV}-F`u4fh}d5Rj&9^yS1AjRID5Lj*W7#!H%vo|S)W5Jns!>_vxlI0w>wBdK8RtuJIC@Q z7(dJzQ=ra4yHCbDjg=fd*U6k}3nq{qe zruP(-(Pg3BiB-*;gaFrJE))yR|J}05I@;uzuGJq?N|~&3@+t=oe$>?Y*8ir2-G0*= z+HUi_ouzWiAgz)qPGcOqXZpVbgX7Qk=@vCzC@u^ zRK|p`&9H!@Y0|PKz8lJdf>v=ryvW|9G#1lE}Wi)ZT6xp5T>@{usX{^y8lDBfj=8di7Qszt8*j;hf`no@?FLecj({oG)4avAdG70~4paewCNpsOUM((@eQ+2v0ds zAkJ|I$7Qzdom1oTisa&)U3t2vc>L0FhLdE1uU@3eb2)8( zd+~J6nka+2u67sZ-8{ZM&n99c59fxy0#lqy!+QH?XOvGId!XKx;(SdMD`zG#)OHqyZoYa{7QPuI&ve7OeO3ttmoB!w-NW@RtIj!& z`?AulIFXmj&9}k{azi78Yr*bzXL@0QF z+?n=WQ_^i4Jd=$@%}Hfu)AuJ|Qg~d$FY$cY#JiiT_deKLvQrqdUz0b^cR=Qr$25+z z);0Ez3OAA>XJgK1dk7G}O~~3Dc|&b^{0(`ZTO@(>L3uA8$84g+;e0pm$2xtQcbZ(I zFU-Dqk7RUSr$*|SoJmjez1(T8i&J;zH3@CXz)6U|iz{vATGgi(_f~UiTU;zQf7qWi zWi`KiAnDVYytfc8?UvXi=&UHubw=Mo?@gj)yZwAM$!^W#XR_U0=evn)pB3Zde12p2 zkE%sWxdu{Zeb+g?u2q`kZ#!#4L?0>6?bP+G^1ULjuD!TDuPtMr?#{+@mp{G3?1=Rv zWGY|V;Gtx~`>MLRc3*3%{WQ|IN?ZWnV8VfzVbO!P8_mg{H(X3P2CVN7^9$HbRXaJ< zmi$d@1-Vx#{b>0E(b+3POGNCN-_8xTzoOzYpxkwB@NRjpa_%Xw1I1#^-E*x@@Ikp< zfnvkyQ)?GH)%VXL*ROBrP}%A8k|*=sw~q?vwV$rX8XTzpvfyCK8F`a)*^%vYZpwJA2% zAfbE-;2w7zR~+gml=U& zk9UN_mu~m2w9eGNoGhBEhC(~-yHbNud;Nli|+16mHBHoJwF+5xK%*e z_CmwmfGWjDTwO978igr#6I~qYwrO=87Ji|Bao$(nu;c9$x0jsQ-J*D+uCX)A$n5-) zh^g59Q9_R!hH6S?^O5Wq)HT@?TlD+-*VcS3YdKaK^x{zEfu2Jfh&#VTp3gVf5V`eP z;$4mS$l*uZRXYaHM>snAM_sgTY48jgJT2XuyhHIhF|++zo?}_v?4Dx=YFKJ+)xf9H zH$&F@%;jHH_qiFIjkiDdg6xw2xW2PQ(m+ihrti$Rb2Bub^tYc_{n$KR%=Y=3X9cIO z<$eiUYPn_B{Mtn8z$?^KdmFbG&f>CJ+^lz+Jfs?>_t-y=^t#s~Voz@a|J@@dYpt!N zdA({(Iyn3uov#?CrRTvKwm))D9Qk1(^MrQeC7*!RT_r3djx9ea>_%^|B zM%;2?{pzpY+zC+1T3deQJ1Hy4W3b@O>$hCxgyvkCFPK!Z%(ieP)hwyiKP{p%cFO+5 z+SDv_+!q{`96h`LY`Ia)esjl8(YFm9UqeivJ-n1YtXO-@2D;d;W-2e0w1ABXo>{OC2&R0s($0XL*=WlOw{Sr~aRVQ2L_aZUp zOd(`^5g{CT@Y_ubIICm!@@{2r!Kd_N^I{!N}yHT6Sp>^!4y7o|i$V2OKf zT)TfiOrfl_EK}yQdz)(WFt5fya9{M#uRZ#2t#+DA@`cz$X7gO|zMwzVeIL1{DYz{A zx#P3%AuW^L>Qb*4P{WJ-LN^r2Dz-K}7f3H7$2D!?jj~BwWApk;U7ovw`}d*`rOPxT zj`Mfl-Ktx^R{w~lK%`^k+qP5fZ^E>r0(=_!KDs7<-ZA;nwfv0=cqTVh*P!j%e&lQ6Kvz~d}d;U1u?hW;z`5B!Gj;f z8oVQW-gw&IU$$L~s6Sv%Zn&?Z6|}s#s5I}hP@U)6`{z3IxI4sNcx=7leWmDZT0^IW zoynzn7o$Y79U`N5Pd*+#d8wDWM882?Kp`|cx=!lY(pl3#ZH)jfWU)-MyLnemXzgY_ z!LpMxVp?wVH-D*#9&W$Z#G`%FM^pQ8q=~kQ0PgTX*%>b+wn@g#$`5-MV*B+_$IIS# zM=y6qyFMLuJA7*W?jKG5yY1Gm^b+i`vy;%jZx<4DpC6~Ey5K;?&*1|XKDP+Eobi0F zvd{3t3t{~|yO-X*>9#9Le}03S8>RDg>%PnJNgvi8SW_B;KP#<^TeCC6ri158#*6@s0hf3M;z5;)a-BYxbGKp% zoH+-kE~E~V_ItMBZ|hu9`Puc7vwOHyML?~O*rL&$)AwLo>aFFe|h=# zW0FXHb!pQx>2JOg*AEW&I4iB-jPhQ9|MJw=>~_qMe-8z>JhY>*q-~(0tBS8yxNkDw zxzFy?`I@~R=TEF_vbZ~Yxcq?h`OOB8@3g;sm?M_)I_kNoeu~JA83*EDh49_*%X*M|Fq{~slDNIjzvDrjDK3=mWf_uYguVP?X~Uc&OGuRQB{8WwVQp1WhCa!$qk;HmD&=zcq+ zDLdX3oh`p-NjH}{ZRP0q)uCUR+-dh&i`BGWj_+6Fl zp03SF9a*(P2iG3JE-j2p&kotURW&+tn%-BxMPjL`-j9+CjV|7~aCSm;$}Z)>pzz^u zIbzdZh?TWpS`;Z+6;rjvak0l1w|p%grL*rR2sssG1ar^6(oswOrZ%a&u3c8F_BmcM zt4t&Zzi41%!L&t%I}&`b7iIT~R%>pXZZ~7D>z?G~=`||l>og1BL@Je6O?S{VpFgu# zJUQ;sl8wq`3Hc{)V^PcXX z;dr*I@l+o*X7EC|UD>H+q$rPQpMkYblm9vC{~kPQ>!&2YHRF_4Trk}Lls}uO6nKy_R+`a>mS)XqD!!F?HTc4+snzn2|`sARIk$~?7F|tY9+wT7RZ(rj++rG<5araf% z4#nrFUfKUVa)b4i($WnPLXH(-_~OhyYbPGb%;6lB*RK0WMI8&S66OJ#?`J>MveEiC4XET%(ypKXZRb#f&v`>a>XE3!9~HUbZsm5iB@UQ)l_L z^L*>z&Y_QYeD*)?Y}48mLS28{S!?_B^(oHEFMh7?e4`aVy>rg}HI zvWh$}O-(!NCo5GaXX)*B?d8B1X9Z_p5dqb;m*l_bU)w$X`rhpy1U4P^%-#x>uwL3R zaW)QXQ$=dr+JaS1CU^zn*1Uv03t-{`md+fQ>kz+|Gd&Q{OpSDjrImDU7Yh`AadmarJ6mSG(`&6@ z!j}@o!-w+2mA_n2jGDM$y{EnDtcB70(qbIRQpc`McT5{j&^CQu*1c{M`Jl@xH{A-*d z-t9gnGeA77k$;?{)9Q8`xq(NcGg70TyL?%Y>HAq5oOzq8m;0B0Z-BCd%=(3q5{HI3 zOBPHk>v1sRDcQv(d@dgTT&!+O`Ld8g0?9PZR4iV@ame*JUyR{r*C{WG)!!V%^gi3E zTk_z$<@u+=YuizbMXp#9q8gg@s_~IYC!HLi0bF72^k-ZxTYdb z4ok-30vpK~Y6G{#8z<5B~C?J61hVgfH@p5*jz>V}N8$$g8 zTmv!UaE+m#>#uKUY_4T3qaEz+z0TR!7t&4Q<{s2Q4E*o!>IP4c!dOxQ0)Zq9UIt5m ziR3sEQ5q*hlE%sq1`++!r`mwJ4JWA#qE`*f0NrYt^XPK;$m|A7M34(Vg z4vo1cGbal_P5KrmdH%YD&Jz2{3tOW_jB{J3D^AIX<1xzl#uS(EQv zonwDnIK@A&mD9UhE*nF*N|~{7YXW!c1Tj7Cg_R~syy~$FHt}(XJ74GI4&No{gmJ=N zU#2EI$z|5FEv}2IV$J4obE+R-FXBINYsq9vW$`A}L(4HnlNNpD*=N5gd((kem9tNZ zr*JJ*TI9{?X>z-ALFT&khbG5qY>VULHJZ5g{3`LuRx?Et(&PL&1|Af1DoadRJK@p1 z=%|&h0$Pg_mR4E#+ik(z6nEJslrjy&B_rHbsbJrQ;eVOM>3MCk>B$MpD>W#yH7ix^ z<5nG+A;3*dT=LXvhS@Rou4_6ooZSSMs4P2l5_18oRh=I2dNp?Db&&+Cl)KgwuJJbR zSbCG&cU^Ad>nD!Ohr|w8DK@H-HV~UCY+hLOS_wY7^Fz(l^NPTy3e_S773G+~u;`wQ zRNXVt$EvBj&Ptk1oRzA($txvC%Vxpz*9W?y1Qe!d1!}_g;Rn_T~3y zy$|nn9`x+I+otrx_g%^*tCgx(|Z-J>96~6Yfkm zuj=S-dRM2KvjOh0KJ}yenw=cD8$YNfdkJ^-mqu;^2Y*mGlZ(qwpKDV6d?q4Z% zE;Kr7!`GK@`|f|czj0r`$AcAup;uP>o*USx9ULAJ7&KVe_j!u)tD`mD`t!rh&Y$}@ zJ7(>I^3uq_T{4}I-(0d;n?CUAU7)glyw0nKX?Lt&d-IfETF@#Otz0-gzC!Fu*|VyU zGeTa|Nh*nk0X*}Etj_N*U#YmE^J<9g(hQ!1A~$Y1M81yba#+geVAMDL{=5gP>`L@_ zr&`HBX*l&$$DPtuQB=rXu;=2z!gMF`i!U-}^qDne4}V`QBYZE?V{^}gXp#zdfyzXy zKC_g4kzEcdaUR~{AN4h5n~&r>B$@e7O_D3M4yb)q9lZCr!r60Xf`lJfEwu=eP4$Dm zmc7)yRN?oZo?TXpI31!!2tCXDU0CybviH73Ux@`a%^?+h-!F01UDmK&>9en|W!KpS z(+?O2hYX}I_|Q1TW#@v&%~W@#bNfREFNVB+ko@7Kg-gBU=jOwrD;LyyCb_qNIjy90 zD%oA(W75GXH{=%+)_0l;y#5_W6;iMQ3+?jqFbLeV$W#$+xNR`mL3lY_3Es4g8oM@gY6f z8?UhLCZ#2QEBsc{!XKRLF8aY{wer+5w@-R&o;^y|QM9~V-!c8^f@g~U!H?$UWgfdD z?YN-VMfy7BKzRC#J;g5)92(mO7uk5qlcE)IbqD?Oj-Bjl-FEN5O4a@McH{<_wL6OI zbX<9(H&>@a{FUA}QG?Ze6Ne;h&IGCGSN!-AB0Kp`+NTMwRiZ{i?(MiUh5kjEF@9|w zpBHS}>rwsXp=eUBU4AIW%h=E?Hsk5if;}@OSM1++BHjHhb$T;bpv4!P!@FngF+Z_; zQGEBr#dGW=YwIF<_83+8v~O`;NfPSetLEu`{2^5FRO$`9$JQ-tXP3l%vUN{ddFZnN zwr+Bkl~(FLn{|8BO_h)1ex@oNdSc-`M=Rf+R773lrMxA>XR9X1a8;z?KHcN}PUZg8 zq7_Lt&p*0qw~0%}HZIXPp}v~?-fKR&#s1f`IT}K0ONWzgy(hN4qk4W0PTtk@)NN84 z->VZLo{uwZaO!&w)YegXjaF?biFGISw94Jrw-+lV_nLmpf26hlQqbClg(mwHv)!m7 z)%NH3j%~hmcB6u;Tc#5x&|{j%fw1iYLhx=Uck(&%|X1>!@J*$M}XdE~uya^WpK&kZ{HrdrKV7jZk$r#UpwhJ+8b zIiq$rZ^F}$RgV|;2VPqIK)E0*Em|8j=x57_9?`g0T@G~xPKX(hby9Fxsi z{51zoR3%i~y751@lCMjXx!fcBWV_ZRo0^4N2=_not9tTh4qTL5sqe5f!6@8j!@`pe zeZ%~3Y~Am03F~{_&$T&gka1*bmT>4n?{;6(?yMI|`&Hia7iTW7yDQjEwxg6qJ(AEp ziB)=U+26P{tjDra^6J$qC*wJKCOYK#_RD0(Jf*VUcXDT;e zaL#C*@X%NwBDZ_urIx$X*0y3U@Dymde(x5=PZ}K7h?;k4H~;!tf_KFEEf`M@YzsB9 zn0K#@#)Yia-ZS!5FHNb5NL*vAR(U?`_I~Nv)md2^`Ps)jZ?+5UeUn_F);P(%UuL~%q))lNU@V>HZczx`q ztGa~i4?Uqta(H-fUQ20P`zx++-UYEwcy0~EKGNi>J=1RfBIDft>5;9+cWkl9Kfk83 z1MAH_G4$#o$(0lKKb~;3ObuJQ%PYmX32Rkl@~Cd+?S<=?&RVjol(%jPPmyBInN+bk zw?y=B&69U6E4nJ?wbs~fW7X7!B5DbrN`)8C=xW@a&>5^4y$ahGzwF8*l>@^$$(t|x ziIPm0q-eF6F1ZkOqT|>=>X9>7j1n&3Uf!4@XJ5wg`14xBHANI*iPV-EDYNsXuls8` zCLGThoMq76y8hvoR*%n{Y;$bCc5rfBsTG^I+s<~zj;D_{?Ku^lDyKBGs_m+EPSjEP zxT5lpgpSgjn}sXf)1`Ncn4MAz;7<;FJxfCDHuvCc?-`YI@;jEg9G)B}wddCCRlWzk zB)xBBku+zB%vCd)zu@c#|3=3xu05aCh(o5tEjgL{7Ui|4B_@@p4As2T{AfmuKj?YD z$GlG4yyyJ6Od-j{R4e6_9S1+|=zMFK8@l_7r=H_6p87eB@iOS}t}^@6U_#hAYF<&8P5(2n-dxdMk9NFJArK zf&hoc#N58wJ?aOuGM@jm{&4?X;=V4W-ok0b#$kh>F=4?{^=uAT3gcpZYg0H5v8$lt zmDSb6*kP1N6#P0kTRBtkL?Vvt<^nHV$?GV13dv0#?@A!3@c#Z!Fb;4xUsp;P+)xff z!pmVCFz|+(ABJ|`GaaeX!xH347+F(4zaaRC41a9OD{Dp#r=SL3?BYDuvG9Z zP1E(Zv=F@YV#A9EI6>RH#wT!f8xFk7I4mt~T$HqhvjnFtlzHCY#UNo@#PzB3gE!9) z4Azg!zP@+cHj}nVlt7rmuU^OMZrzI3T;wlO zD=2A(WqW7tcxw}VcGvAy)6S-PVI*T;>4$B5YLd3pc$t;j=gHN)#=5>MimypM+1UF! zId$dr0Io)zv%8+ErCB%$6uSlRSo=U68}&Z(7Kf*`RE7j7 z-ddZsa@B%ji+~90&l5}6rY)&YX}NFOsNtLOR3@!NO}V)4bx?+A`N060)V7+XKEs$| zv)5mB77WT2FAeyVcWl#wr8(cJrII0w6*_hb?9E(-_ux2lXzIny(;iGISw()&QFdth z*UcPqlebnDQJUO{(ZWex7k3=u-NSK4e8Crex9si&a)HmlfTZ z`9PaG%U~l_j?3+;i2S7F%>u1U(s}rtW@dBhJI&3WMEt6UQ#(za@A66p2wS~IxRlQnKck-q?xg3o%9)wxu2F5 zZD|cV)+T++AbFwQ6RDMvR;st{Bv;l19!{lfYcZ?2zRkYnI+?e*vHetq9z))_;0n@0`DUS;zH5uZ)iQ|Gm8*r|vY7 zn{@N)#8vglCl{EkJQAYWkDLyIN-uPaeb9cfs9^Uyg>{s=3JmU!xdl1#gD{gk^nKREx zu9X|#w)-BEC=v1q`OIZ-57Ttkrq5|NDQ+j{9Nvbs?;AAk*InY7&_fX6G62(oG`~xC;p_(Q{<+cs3fFw6gW*2 z;ktEoivO&8o4LnS%Y}wxs3VZ5Bt^OmnC`g ze3I&y=E+!-AHC4ovWS>ak1^e>GZlV$q|EdJc~|_+Y3sh0yuyfSa^jo9U_Dk=Uq zyf>JXs$;O1KYh!wJyN2xbKQQMhUhoOM#nbqnx>sMzvbQsu@6?w!c>=Ie7j_>Pg&xq zp~%BAP?lS4*HkzwI zdA(~(D%I30x$R8c<6{TbPw;hqG?tEcV z@AGZ(okhLYKRym6hD*oveV|5JHuil8e&V;KCRA{$wX;dS&SuM^o(o47u88d0am0Cr z(pgi&x-HB7BJNlNy+{p3pdQlC9;*TORGS^n;Bt2ET)WN;WIB>(}{Fvzbe zDi~SD2l&ws@W>W1@&RG=0|Ltx#L*9kOjlrK>usi!=SoI{ zfIOT=74iY?;phj*!$+^6JskZ2c{t+=#>3$Q`ol*7JKU%^kXzAVJpAap2+RHf?(1N$ zlr?q^g35SbjI1Ulgz7>uU9C>rIq6q1fBB*&Mm!LJMF22mun5kGkzMU)?#J{9W}Fa- z3>4&$?HMC$ZDR{1_3{`znIwb7DPVj7B4v3BvW+89Bcd`j4Dw94%7_vcgux=Zg%`%o z2xf^vKt=R54cMf;80C?H42xr-)G`Q#ND*=+7&2fEZkV{ivE>GfP|u(WVFyb@8Vs2E zAI410`DQ4uf{PL}~Xez9~}&^W}=*2t(0qi>*E z1~M@gzEn4=3!2ElK<**fn=-;6j@j*vWsto|dGY5Js_0i9dg+GgUGVTR&(@Y8Ed$1%xlYh#&YZ`nA8i7>Q?BhWnx z!w-=`#^cs3$^;XGEEdb^g;*G5XqV35SeG=CtpWz|7&Rl!aU3#R&R7l!Z0!_IN35P{ z9EW&3Rt68oJB~{{v(czwz!{^aNn4k6mdDsBsz!#2X`T-M$O$l zfZ~pt?ugCe$NDJdMM-4OEW<*6sZJ~jvSL8NcxIW6M-78M9Bh^yf2dsGGdh1`-432% zQ=mm6#)uLe;Oq@s45Z+KkZhfSpF7nBVcR{x*~bUTr!jUM{8%qU-#~w%*s%@>N1{o3 zWDCV9kYq^gwj9){j+!s}+!3b?UyDp@b|cVT5$cqQbgM>{Putsm<&^1`L6Z()tjj{* zK($Z6tnm+``cT7J)lOixI#wGe{K6L##<{9-qQDbnu1GC3*=^x+Iw1)^j2#k8%6 zp?12T81+u*8#Kni7ej`W>I=%ntU(j3p!g9r6PPV+EQ9QQF@a%HBX-S*Z5VEfM1&1k zj?E%QnP6g&t{s{lSzQ%_L39x_v`<&#SXV`0Sf4lnd@nJnPfnBWc0Po$~Il+ zG`5LjeHZ!$UCDTihM$jra1d&~u*8|Id6ZM)ST9Cj)a)G?ahwAi%Op-gK}KF)o(+@C zW~GKfpUbdhA}hxukuj=i2LE)H$GS5j!}i397_Bg zTKy2{5*&!sV2qe8X{>LeE0fHYSJVkH%nk_=@na7;Y=aAw7sh3381$J8MUq%u(ilGJ zTBh?!3uHze6p3M5;$+|xX>NAKSosBbjdI6qL5O3bb0^Q9JBD41XmTufc%lLX7Hmuv z<${SrW}if6^+~K8GSp1xaI8}zF^o%G9@eI>i+3#KbRMPpIXR>CDre(HMSNyb*bW8$ik7$@Y#u<%ptj?ZehQ%;cJdR_$0LoptE2AMTPtjoyD^?m)zk9V8EpD zo(N@ti8*FZ#5e`AXO6CH8guevJrVi_%A5x1Gswkbq~wYbBFc|(KqD+_vSm?zY+yv7 zKXcS%*&T0C9!B{?AIeak{6BdhhGyyfjrBnC40{sS#OV7thhbI+IJ;62tVYe>Kfo`H z>cbievJ7cpUZ7g+xgG0~#&HV+SOJ7#vqDj>m^l8YMaj@GoyoCI2pk^GO^9oaMuD1? zAZM!g=%y*p>Uu`uFKud&4wB9q5166el|dq{vd$Qa4tZtOe0}|3%Yu8*T&DufO#m8$ zM6U`oB`DB1Ld)~uO_~zvv4sM<9(j>L7RVJ?Iof@&aOD5q%AVh}p91C2KU1f(rsad&S&Mg1|JOjaGrF`@Jk$rK|00eKn-)r=Q9kU8W9 zI-my94o;?CB)!pnvf25qEh}nd7vH!c`no-ii|JS z#f#z%6`MFWXO|$q0BSg`qLNA9zaUu-B^u~wC0Pzggs2e#n{cpDadHYW1i%sSIM|Bd zCkx5U-k)Yc>?AstWWYv)sovgxzDS*^3xvGhlrWa{hZ#pPSO_X{M9g%GAq`6xGEhpC zBcl{!5sI-uG5o~i#oS zhrqY6mRP7mO!n_hz}?x~+nE|b!77mDy%8|rUkDQq5eFG8749WN0yq>eCoe0N4&+H!mSeUv7#w_&lj#KtOttc!B3n)Gb0Am6`5k#PmC_@78gN3+(2#%OVoXp$z zujw0Wo<70u?%tFjKVPhZ0+z~vS^kJ-_Dc$nEFsvcu<|4sBJ7}eEKQbdX=XV4|DAy% zD_ss;HkOQ+AwzV6I4cB&rHPnTqRhL@uO<55Tt47?WE4n5SU2D@0SF{O2qg!Dl4#Vj zP)FNu{(k*<`FY{wc= zg9YrC*+6L<BrrzGR#0CIud5eq*RV2$IzK5?)+VXgx&sMZdBmru^?X{S{~$!1FOY?^|B}W zKijB$DR8Rwa`p{!Mz$&ja&Yr)D>^njGAhH{DM%i%8Gl(lVJ- zEttDBw_CnK<=Oj5+{Ryynx4gVYae~M^W6NzIsMx`x_c}LLq9ewZJjTDU0t(j(T;pM zfjdW@IyxV{+pE51Lz>i}=Y_Jt{)YR{8XRNvdex5|7Sz2`)S`~%JFX`*uYALiIiXoM z-nB-R+U$77t5OX!5?VWZL+pC>cX3;+e0-xM_vH7`y2sL5f{~|MhTc3Wjj=DQ$eMY4 zw~_(j(bsQY7aLa%sm?J;=knR;)go2KlCy6|fbC0FpRzr=T|N@2hd#uIM;^IR zA{`YoRNgT-ReG6yxFwFyZ12FS9la`_b|qCk=(-#*dEcV<PEg09?fd>>dB^eoz1 zmLez;aiITmUscmy71hBReOrx{dMRz2ABFTKA#fe(tI9E-F zZ?J4zoapmJmA{_zvf(w!SwHShRt@t0AdQfkI;SN(%Z4|cj$M4^ zQ{&4EDWBgb`Of8XN%$0Bc+F5W%hRQEitENXcQ#+zdtakLXt7U%MfnZGhH0~R9Q!D{ zI#Brihf^AkQ&-6wd~Cid)culL@p)cK{a#MXryWj*7S53&XVpo*l1tq7c-u}B!aJ8G zn~t12c`EMv%^%ju4O{08<|%D*I&kdbh9k+um|L$l)=a9d@9;kvp+OAx9r9h{(3Tu( zE%at{QyE69OebujrN)#aSDwxeuKuLI=}2+sVEEIyD~@blcj#@K)8wtD&rEAOqn-ry zZ#ATLwHxp46)L))@6kFzaq3xWy^B^s>>ER8*J<;%-3Y#;e_5$cWc!<{+1r=s39XmW zkXULmJo)R@@|nil52hc(PAfd*e0J5Vg!~q<-2cZFSbH3Opj>zQ|mC=KZJ(xjQ0LW;~I)-r{2SC0P9y*K@mu%NBu#Q~ggxQMeZ* z=NFQ>%^YNoh|Jb_Vr08Ys>;-Cc2srr`&6mxRKc5;iScdCHggEGi;gXC*f?kqe6ROZ z>)UPN8Pe8QZgE|c&*#kY6h9nbxM%lib-Yxt_f6`wj}N$K%EfJ}PC7&NH&4I*uzbMh#=aXo6bn%-6vZPK(63+Sfp@sd)wuK=af+tVR+aTm}&-MjCrrTHF>vPlPpP7&&XMG`t8TD{P1>LZ=p9+i0c-9?E5>CZ%hHs$8& zr%7M8Sr;ukD_b5j{ZWI!nTMO4evGT^pstDOknAD!kZ~EB6?sK13EnjU=UDEk34yC%Y z%N}qpi(HcG{yJ~?_47Nf3zfwC>^Xy~mj>S0-Oe3r(d&P*TX2^3ii+k(*h5ns)~Y70 zh^?D_ZPsED@B1c%s_jlQ*Dsh6@3?CU=XOl;BF+~ve2p~|#a8X?J%K;{K72xghM<%{ z)5>q%js4#FZQIErJVTyOgR?eDCQaM8@z#YFp#-Y^#gYMU?eB?C4(<0!*qpVlb(Uwt zIkNWAniHu#lkBRG%q%EZdl_fjrkncUfW;|1IX-@(fyC*D`&|uRWA8M_zPT38`mC zRh+-E)Blp?{Uxyvc@j49@;Qa(!(koPlA9VG-~F)nkJeLZ zeOsV_Cyz|j;=M1>utMo(=pH3eW4ZRvFNgB5>T}n=wwW~Vnr|!DIp1t|WnqJTYOV2$ zQcg&5Qr}ij4icWbF+?=Q^t_#LJSTDA&dOxMy*iz+$a@8H`g_+@2OQV(=le1Xca<|HK6i%z(MFS?RS-DCV%^unyJOp)IczL{yg$OZ=J2XLRXMpgahkGo z4y=q$un4F(I^R0QecI>A1DkGeofW&iZ2p0c+=c|X$Y&n&@+QwG6CSUcnb|o>@_~BF zyv6I|4mounJXzMfXjn}t_OANEIAu&wLEsLlggl8Y>js5?X0O^2!i|}vFB}-Y@!|6H ztyP%Hp%46PmP!uvx}_6&7T$=gn4x_t+q)e%CrCO`c1FjHfwatZk{%0k8$^`Usue7i zW~8_Do*vxxO4vv}CAxJL*Svm*+J^!Q1VXzWpF&w2rj64}1#V2V_}|4izQe$L#oW!z^j%i7G8 zxMr<$@Mh>u`=`Qn-H8v4!>-}_-tEQ~Byw!&z)er$JMP&(OG|horSqHutT8M3Pc4MQc;{Uhk+o ziN^Kc7u9O=r`uCw`ldGfmRIjIp7vShXiwdbc}2(fR@^1}{Jb5$YVH}AYZ+W#!@1gu zOT2mcZp~jGbM>GbrThlW-oCLOIG6gur)keVadzJefo2j-ZjkkQasD~=tGD*u6ojX4pNJA z$g{7)Lpuyf%Wh~V>RxEL@9VUa`@6NwqNOGUfsl{2jw~yl=Ym)&o!z!EI(^r zix7uog#@Rj)WN*Dx=kC5Pn_tcrYAlX``MskykGQiqrtwnh3}UT&6HFYcpvbpZeO;% z&CT?Y+0FZk4o~6|U~;X(@IZUx(FaEtm#Tzbp7J#I&b5I@LOf#L2bQa)ZJgB6U)RI8 zsi0+gg`+{js{WQn$wdhcQKo@0#C~hNCC;ahtNvKAOCxt@Ns~XWFYHiG;&t7o@NG@e zX_qK7PsA@K%erOEFTKZImqIDt9d|rq_%8QxL+qSkqlPaLd!B8R`TihiqQ1eg`vt-R z%T>vQLN}~Ue^uez-ZVPN5Hw@g)*u2dy{1wT!Pb#fms42*>rhmQF{HDs; zT^pR`w>xO2#+gW-sQ0{&-AOQkldG=w;T-Be3Tdj|6Q`OgeSL4&XY`b&Bn>7Q8 z$+7zbons=pi%t#LxQ6>Rypz2wgxl4;qkg^C&|8gt@!$I%2K8l4KQ*^FLfT~0xmnqZ z+yw4-o|U@qiEI3D{B`K({0U$0*?rra74S~KQeb8)r{9nHfe&@X3z{nN=vbRsVC;4b@hI-lgj7?J{`?2Y{Kl< z;YQxWN*5&Kr{I46v=+EF)ot5>jx^636g z6@vJ$t1n^m4&lGJEWez2LA7SnVZ4omxXHATW9hR#?1`wo@-*V@{Od{45!duHmux>F zWT{+z_LULO;P<2&t`^tJCs+6IoitnLGUaO9M2SU0-#2faa^rUKxvrUCzGlsQ5qG6; zrNp!eSNW#rh@C%uO4>d6UabY@=2@PW(13?C_9$~Mtz@XIJZi#k(E^VDRnwu;f|TOVMT>R&cP%8Nt?H6iQQRSi`C4oHQS%`Zo(ep zPc?RaIZuykk%oL*XW#u{ZB#Ll^SMi8Li;^2nIDh*eniED_Np$(pY#Z_4)k*@J^z3O z2z?ZN9$!IC#*m3*Kmyp5x*_G&|8%K5hHYH}?TpU~f1!u~GDRW?O~@bs6BYnC=RgYW z6HOCi4XrgRjHo{Af&)$ce2n}Q45X3#5U;G3FQldcQ^F7#)xT)j8KkcRFgU;t0Bg{s z1iA!J{UJ>P#oQ=lz$=SXqtX5bvKz8iR9BdJfg#chD@U_OGz{YJh&9((t*&N0hFDXI zd+^^Aiy|n@#6mgFD6urGgPB-_xxXV;$6C|aMtg;swz)X~sd7vt66m=;S{WZID?kUw z2^3910;n@0P%MDRqcn~nGz@zisVEgcf%sBRF{OO3Mt0GN;| z`@ggRT840xU>xLSMhT{+ADM;9j3SO-Ao3U}nIo}F@6*zgtm;5gt$~cXbrP?vJ{5+% zjHGQD)&7jSct)u-qt=#DnmL*RCDK!{%=9wQxRKj}JOKP+Y$x{X>1!Vm#~brf|& z3s4|0K!DsdQ~^Rth)vZ37A-Vqu=UI933xdf1<1UQtG~hmeESE_$1C7u@a*chu;@BR zp8qQbN6Oi0$-G}Mh$q4jP)NUyClD<(|22b1R|$>?a6g-pB>3Loe`F4>!2u48XX{T{ z>fOf+7OusT5%il)sXXKve)n7~q#g-iE^PQ^Sj>pLz??@70-j3(S-}J&cGof+)1M~> zplCUS5(w}*!51xT{uf9!mIww5VkeR1&{PYS1f`zdR7b|L5d}QUW0} zh>+_;@$n1T@Gr=PNl-E*s1rfRC4)#|AQPlC5%SrQ%e++noLne^ccb_Q22lVLM^YHx z6z2e>ikOA$zsz2cI1g#tjX0%SGWll^B2!?EcLPrqPqDw=bl`oh4dfUy++ zT}lpm5oF|`>J$+)N-^Y$mSUFnhCdhdm{buPTmCyK6XfMl-@q^qA{4RW!QZl{ zdHinwCv_MB6pAZi6l{q7I|0M41Vh9Wz&U^^z!ridB94uKA%UropxlLJ;f-`_jBfjX zLM+r=25fNg@C&87gagr}|Ar+)jRO+fAY{u!0uES!8i!v{&Aj*jxmm393-tALhV(L) z1bNz#1`X!)^55A7mJA|=NS#E0q#@V?RzXgN2zv+#VskQ7v$Besc`Nue(PPr}M&|#f zKm!L+10M2&L^9;P!4~iYI5a?@L4?gt9y)$l31r@H{+PgjSCSl`u?2&aj*+1Kw!xr5QkJeL%|(e0!Nyg{@GdnR|&)-D;Daj31o07 z(1e6k+CaQRBN*CrSR}~OT=l;)K{+y7VncxQ7UE*CQ2IfFkeL9jc;j3QODos^h(J72 zNd=1*sa--Q$RHISNMuI0#X+R+wQc8u?%aO?FSqBd_e+p2F!b;trZ6RYL%>Qx?Dt!GPL_ARF ziwqe+)-r5@pm2m@GVIc<6#wsc6+E&skP=xaK858BbU`H|w9cavhK_Pp`j~ORKVC8a zPTvUB0A~t3Kn(%LKoHW{PW@L^ zTsSC{#zTQ0jF*K741!*iR*)&m!`MasXB*8}n%$uc)eq|YhFj3fHLSdNTSfW~!b0>KjH!Eg}+fnyM|tAk6B1Ehn+Fj%@W ze@!owCmrc_8PlNkS0%}KC`l%wG$I2=U`-)q=f9wk858;=3jcKr0v_s4;U8?0@Dp4; z9;Q7Lpj-}1Aj%-9BC7=ddN0y(gIQ?ME8}@6)hfq==Sw9j&Ja3tv%7driL|y#pVHh$HXwV$lc-o=b1=#?l+v z!N6$OfgaK8>D})zLXZ9$y&o^2k+j$Ji2#7&p|6>{g0N`MFi8DZoj{{=6=I6EycA#p2coP|a%d}nnVj((!0)7Et7&XuZiFZc?mU{$ zBCw+dao^0cftI~dVra{pnV9k3{&&O}*lHV@u0}1Hg&G_iLuQP=7?llkK9D}RiJ2T` zzm6t7#w8!1*#{5nZ+zkc;;&IPv%Qum4-o^qoCgW98HRHrZb7zrFW4!6cPRoNvAuSD)A?8_LlThvKnNJK`n%^si98&5*rlaL zTFZZxt3x}w|4|-zX#HWEhXlCiH}XKb7on4pjT%_`%Ktbd`*#o!9`JGiodLv!FW&&1 z96}#jCI|_8#)dm14eFx~l^tHr6xAXz}D3f&Xx@0HAY)&H-xx3Fn=^B-oAW4#OT~ zT%2LP5DXw>ovHIHLXpKXzFQSfhQ3;8s)Bqy+Ruih&tOw0A$^t*p|M1|EMozFEmPBkz>3m~uQ#~S(|3oJTr0gg5FK$GPdg3g-&S^P)G5LB-$vGSO46ywHV{?jo8aL`dJ zK|&8ksStXE!6P09z(-^^86SGE45y$;?{|TphLNtOIxQ$>4gAK(#EgL}qj4XgBBNm_ z&Fq-szLEJB|3e1?sWn=cE_gTvIFKT(*a(D!hwx=A9y)Hc28*PTzFuU}02)XJ6B{pV zHe)t^Cv0nN0~_5nXepkY!tYA)fb4O{62@{KRRK%rjW|^nLqt6TtCRd4jauqf8rFKq zu>^VkNSPhmV+rjTGGw^jyM14pDx*eKH2ojS2@m z@Q8iV`%anc6PkzWVG}Av0R?$4nVvY%Gt2 zK}Zgd4PAd71fkXrNPN7~KAPCufR={xx`tlrECtfCz(705pX_2*D{~L%|{W9iWGqK0xW2 zJo5jBK0FNMlm{!oK{W_6Y=8iH6e8ekIDn+#-x&IkW&c<58;vH%Oi=tQa2M$qhe-uY zL_)F=JPvyznS-DIkr1JRK@R9aa-gsm;UOkN`p-f05M{7xcsyY82S>4gl^KI*5g-q+ zKoBC#BLPc}u>WeZmBo`;znH&vZXTW+kcP0(=@@#>F=TgO?7iq(=}*xpw1G# zV%dZTjKRdC;Q>=y2+a(b@NSyP{2e*!>T7gO5cpl)niXIsupx)B7)Hop#&l6RGDmW> zb@g}TXqjs2thNGj%xsXZj*(D~9l%U89i~W*8SbVV36q{t5Ab)?n61{gG_yo?#X=1Z z2difc`VIgmYLz3hK`Q1(BRSgIVkT$&=JGq!F|*KEW2*+_Xj!uamRM-n7)K6mAu&k@ zls8JwxK)69#J`h{p{=!zni;Aq7IN6=3dK{wu`vmUDRDzz?99Sp-aP*7P-tUmqGP6k z>PnqOS?tyogmq(-#k{V@o(gH6@$ZCVYOb!e205b|>N36v0&V?)d4p_}MS}sD#Y13H z7EP7R;$c2-|CxAfZS^$Nk%eW-LJpCQvKaZ|5oJM^W7KlSo{(s}?%xT=) zEF5N^%GMMi%K|+JY;|kcc)dkfCS_!6V?b1&I$BrY(aU zWLQpJ=%Qv-)Nf9OEZ+w7ZxS_lpoMWpbU2>EvwI{&b<>AxvQ zq;(Vdjw)mht~?~m2>`pw!wCwHKwi-D#!4Tu=l))fOqrT7X*t%R`M*MU#{FGueJ*a(%#BLpIl z6b_32*b~U?@c)=V?KQdvEO7GQ<*i|8DeOPUY)UeU#uEUD$;R__|LW#CU=7Z z;Om2_zTVErY+yOIEr`EzJM0s~1aRO4ur|nuKb{Yzto9O~@r4!9K2(+}$2Sq$Ru#EW=wBGT^w zQ5I4k3-^S55-?s^TMFRqS!w;V{fBAMkCcy(`TBsrg2!>-n2@a-AbcE@z9L=VNM9ZD zT_;G{D=Ufr(Z=)dYAw**2Qm*H=zmhhT|n_2{gzVz3xvSXXLUG$QilnpCIR7fXr|i0=h!723GQ)LeB7D1QVyBCvXQA z{23AeFh`z#w~;Cgxa1E3XmCn&=p91+zb;Ov4I^Q7Nn=1~r1KKt6-Ph$;^@WbFs+&P zKH3cqpVOS}^{sgqjEA+CRfnY}S}qnOUG`SQe;>?GctH$3=X*%CjZlLYg8W~5=kFs&lI8ak1e{T_Pjx8J@2oNMo5FkUQ4E+Nq>lTo4I0@J_Pk>B0 z`U?ce(&zgkGBbW;c2{?CW@Lx}v#X*qGG9czc)#NPh_vD;;-~>dq(6{b08KJq=Bn~r zWu_`aORDNmIN}oH+SIqCvn`$h9Q(69N*oeknZB(!?j9;)17JUa@Y^3@k<&poIZ?!Y&C*oC>Z533#Vx0@6nlAHH6pxe!cM1>}^S`IN5DxO{uMEEQZ zvD{GACnl*;5Yg7Nw;Ozl>s6+`p~AW0n+g|FMlR^AvDb*^N0CbH0H%EOLuYn?oNBFy zNGKw4GHi+%4HXoY#6t9<0I7D6n@kA1l$n#;@(|M@u79{u!l9_&14nhUoLD)kIIJsq zTkp2)y`GAR0g!`F-ii~fUCr>7qV1L7+s(v*YZ>-JJmzuz6D^ioD#-&Kyh(V5CichQ z*U-R$kkA9D!qg*VC!5d=z>pemg@n7GPIR$aO$bRCk_2PGNg_LiXiES_h3O;L#~b@v z^80Qms0=7_@?@K!c4NL$Ix>+)0nCwQ4B)jG%WeRc5eZ5iGh*g2Qn|co06a#Fj{&?g zZwZbZ!R^ST+NM@WMyU?UDz&0VXrLTpOE`N>tgJhl*c{GliR~X|B9+@{1eMX|RxSeN zHX7oh7ER>!g4cEfum@9CtU#Zc6xC6QMXGBN1q!oHw#t^#YfTI#sZo3-o3t|Gj`2R} zql@h$j0!Z)mOaRcAQ8o@ZAEV?yLnP%_)0JiR991mbEXecI4CU#s710O#>;#yrm~~@ zsAD`Vx8%aymutQfHloz9U8eBh7`&f=rRcz02_%tiP#1xd{X4;ZM)1O~699h#mV(zd z1!!ydD49zE%@+8s#Zh)zUlk(N76I3g85CBC%!Nu|)0v{*wfM=SCr@^u(_Li#5ms^! zUtimz1-k8+Nh)W5aC?;r)*vJ@4rhwwrc=~pf%Hidc4P`-&j@5#U_^8pV*W0Hap!O<8N(%4b9ip?M-h-tzW=eet`1w}*sKtzGxs7Fw!VDqHv~nAZUMkT* zB27e*g6*6z1-dHXJ$y~cOp*kjy-sR4w~1&iAY)Nguy zfSLBX2<(S6+FDRlOlMM~t;_y~0({r}<`?2pV>9j{dRmx&%^_iUZb}wM zZYpQpjLkkc?ee2_ z2i~O5Y<)RfF|LX$SudUxbY@qDj)0TqosgSpZtySTx9)5NL3RsD6_mP zLqy%TommB{R@FSyDo&zDZIjnNrh9>x{EXJfA*77){g| z`>sR~71)qnW*~ zq&kfj-D!rjq=#3s@$V$l^)aW8wS%!54LEk~^H;T(lpsTyX5*O*$#MHi2Qz7|w(p(S z>iBSRM9~^}!9w#JP3qMId1^?J4%^f>G!Dz)D}hf#NJ9Trabp{5ne3k344HD;kyX(2 zHvs5!>bMU}lI4cXamk!si{0!7AaUjZg1Cs!KmMvrq&rGhkOE{WUi0nP%?F)8#dPR& zM7E?Md)vo@4^s&#>kN zy(Ag2lrqwKRl6eEEKzN{_Nn}!n`OY^@dO>ltGxp=ZZvAWl7zOIzm$Hznyn7zDlXOA zxgu77%no5^%Nc9R&QJ-mF-}<{{Y}h9%FccraM!PAZ;uym@Tr=bscUxdI^s2L3_LO# z)eIb?(G=n>cQQ0bcqAe^@biZQpm_DS<2C8@ZkF$;zkuy;@aA;+?s$IqD&~z>gqIC9 z#;7$i4^d2=OgO4UGr-&No)ln*4*)zpSe~BF50v|Jv5wtjX^v>f>;vI19OA_W9dKY?*4SHNm$X|4In!j_?sUAd9hFM~Q;B)XIv~cksp@ z6=a|bDF4;0_V5(%G#m!3VOp0|TqR^{@vh#|>W*de%CTb3jv6CHVrX|3$tP$*&VY(z z2h*VM&iLGSIpbukaqT{IO^L~6a+Y{)_nR(EKZfkS`{$VkrFQ>3pYhI#+w}LT;6lT9 z-^ZI>p7FQA@a@(yGJIRuS~&|ce3$m+EezjLENw$y8Hrm0hIANQiqRuu}dDI(DUPKqzj-YFBGgF7|G|ptRU24iUy2*7LL3YUk)3ER$nQxfR@m+bSNO@Ovh<1RHy{DkV09eLe9usbPMwJULsg7t(r@;s;k$dQr{r1GfkY zrPPskJ%6+nNxL44j!?MkP~byXM+DcO#py2GLP=sKh#d;{pxTUi(5R|*GpyV3wht>t za-2Km*g}r~Qp#j8?qNPuD23QuB!^p6S;@HDu{Qy5Cj$ZzFhs{VxB3z92R1D4z>8!u zgmWrYoMd0S0D(l) z0VS@p-`^}x=BI}}|LHEt-0 zn!9DpZ;B20_#GcEIT$31{&XKx*!jT*D@bhnxFXnCndLuGflYAB81rE>*r6)0HC5OR zB?fr*O;N`bJU7LudjNf9(OLl9j(dGjoK^lMIRXseP0)Kq&_NU|saXE}Rw}>E=(d8DsW#Gl19AvOaL)Ey6KW`Be7f z5$AA*kvjLlvtpPn`SlnTENVGFJ((T6nXi=Cp*dmL)wVibkSJR09K6xTcnr!#fS3}8 z83$f$%n zspeA7KsE-fdoj%0@uL(;UoQ_{ujUJ+D%j}wc)61rOOONrGRaDAhE=G`VZuZ)gX}hr zR}+AL0{*1za8u0hQeKtR1rt2h_%;Bq#i4e?QtD`MDg<2UA#zYtp&W!h9U#i1C0_As zaj4z&5+&1wW0vsAENGsIjqq*9ppsp_6MPahRghbgZ<<yRLX-i;N((S=#_wYn);%dWBZQ_A0^pbR1S_x7FxpLUo9>Ql@tB>kkGM)Z<|kVp5idCOVO1D$SmoeN)SfLv zrc-*YahQ9(tbVN_+Y(2+}t0%WX>16SoH}J zK`VkCdT@z1z$pl@8^PU<>!cIBUL3!5mXQbA z=dV!SnS=4}$5W)x#IX{aD2lO?ze*b+p%6t^@lH;JyQo@dyW*aKyIG)s;CD3{U_9T= zXQ7K2G9X^4%Mry0g4RVC9mq~fdb|O~^ca7))0z@Cx|Jes)i@`id#_6wYwCz9VOhd`+SO9VmbVG|2#`F&vSfMS&3J6zvZ39 z9l>(Q>UZx3;ZgvD(k|YR^datkOC-vDc6Oq__WTY(K>l|RFZz1ckz%NL|Xsdo`>k|$8QOgc%F}k?3*~N z@BVo%9+Lk4c|IOe$@}fS#uvHY$3ymgJS5Qv{&$0~g9z=vyZMXUI(#hT_1rp82n9$G z;1@-!n|p;17u>?FBMKUC=*xyPWvU?qUf)7DODtC3+%*G*f`!dJGc4Nk!mdMfkjC`0 z60mE@r17;JL?CxJyj5#*@mulVQ@WmpzM*xf`K>A|(&WNI<0Y?^iDHVGC3`Iz_oaPx z5(5e}^cBipI9w^D5?C7ghT>o2aB&fZcQp15WwGYI$jAfuO~ZRbsmS_z!dJzjQp`oc zkPTh61Eb;k^xaigg`DahBVyOfLHTBIg%8}z>ik0o52^+D`B+KJi&0gIXaa8f;4KU{zmA;oL zMgwc=n_*P?UX)H0;>Pi2D3$eP7r<&7K+Z8L0ePrwo}5-U^vy9U={xX|9Swamj7mXP zD&hU+<;_qk?Mn(`JeV42>mZ76a%h#ntaM(Dm=OgWHFqVZeuyNL4>yVhYV2#Ji;#{Q z`d*4vJ>=tYUzuQDAk4p|v5s1Rh$4{&7Zp5 zA-3)@&%6jB(%50rw6#L@Lh$A>xupNv1m2}KvbNAuh-Ax2bX0hk z-iCQKJ_913|Fv+U$|%@7njLJGtHt-}vC0)s+Q0%8r6boFKHI>qq=?WyJI_kug0Wy< z3uf;oZ`YGdZW&>A+RTK1$wICR^yq-(0z> zB{zc;5nV95Y{^mD(Kdna(=We{jwRX_T#`za&Zo-qtwO>BZ2M)h1*pMD-ew%9;R~O@ z7qWq^;oI$;r_7da`4m`aCHdZ0*f;(O%AOuiV9slr=u|R+J1wx1Rdg}ySzteMgR*HT zpue`v!!H55b4CW&|5STs}H7|WliD%O3+m0`N$my$=*GKb;Z;lYE8=`p! zb{z5J&K^hg1PQYGSQH17{m6BBenC-$%7EZFFifrWqrX#ApA%MrsLp>18x30;sQW&ecj z4g&2w(x5>Ik1aMR#FtuZOsI^pCpianvLte+KTpGB*j}geZj(p-N;tm9ef~Uc;O8Yg zcOq$x^=Z|nrNdhmNv~{#c{Cj+MT%kM?`guj7m~M748hl0+-&H3k@d&cKc2PAsxaPt z@$JLsUw?f2(W3{qrr_{mwcgw&RWl?AY$4I;o%#A;wKzjsA)3i+T6G!5QBa1_=>dVx zWhaXQrzO88w%TBsfb8>1S zvWZWzWWIVcZV&bBB>}tuJ#-04j&_WN0|!X|#7RHyfH)iXaR*fTJWlE{9;7%CO8Hk~ zYZ3Pf83@Mgy3U{SwGI5)KDGVeYqBUi=JKPkh6YE+lr=b42}ySXjK88Y`YVx1e?6-( z`onkc@-VOs^`tZKE)Q<`pF}B_36-*ET#r?F--&=mM&5)*?!6sl3szzC9`FCl$o-u= zPoIDL$jCj%jsdxEDoO0k#LXp%y&Fe3l$@Gh2F`=WckjLU6mXuz&`ie-%*XNd8XAJb z0`B9MGz6zKgW!H4_d`fNj`~VC5PTwoHs9;tb*$jp6nToM#CP)7bgXan6!)8|)yun; zBW$kvth?NAW0fNGpZ{5hphzu~e2g7A`PJS;3IFRKN;<<2ICW0am4 zON$==t33)meS)`N^;i=>-A|-{xva^%-2MqSb)kZ4AqgV`(f z(_f*0aS$H@n8@7RXp5- z$P|zFa3m@m&m_~qe2=7u#cZ#5xmO(Q6^A^ANA4AX^m?yYU_jvKH+#kLUU9NloB{=q zp*8Rp-i`Hl!^8H9w|m9Az2dvQ;(g5AE5{>{Nq$1RTs!}7J|S4(dK0Uzr-Cl*3cXO; z3cHe?5vr11hYE)vH-xVCE38I$DxWm%WFAuj3=T)jtFlwEGj$y!0e1a$i0cdY=-LUN z8Gasf`Vju7l$kb{|1-8dZ`bGvqrSFPekGD!`zO0n4o^V1KTt|7zQ4j$b+j=;YGH?6 zbY=6}X5QlJo}=dm|2z0R^Ims_urik@ylQgO>n7GWVdvE^(YH?YjXAQFAXPh?-aW!S zwdLCB4(!$dM{0ULB-DjCR`?sKgPFq-wofP;{DIePwCj*w z7yR#}zlD7#Fcm1iR-^hf0wTVXMFc|3sz3{}-RlOaZNRqCwL`oM6YQ?CM3HdE{=0kpL=fJ}#&B1gY4=cjYiEK800ii)5(P0_ zGHl|%?DN0~s}nkqD)ekju8=KNYlFo@q&sfQB1uSMM04a}NQSl(wTns8#^(u-hkjxg zWnaj+45t=QBUQU(9@(^D0bkha*m;4~jj#P$&s#@9@ydmeUc&{E9~xqrT^-H^_*zRX zBc>C&Vb?Ja1Qfe!Vu0LTc?h&2yN*S{I(9{dGiqj6ga|U=vv~H0qFhX!yN1sg@t#q~ zu83=zUU${zV(PPNmpp<@p#LKZJnGmLnqxC=*8o*or!qjH2%UmzaKM>kyD zL+d-s{p25^t>bnWjLRPCK=%U(F(CLH&T!e=ZPRo++ra$z{2#v$>-`KC?}N{n68!%F zOG^P7*_t0mY+G?C5&N;iZrMu^Pj()yY)rN^dKtd~E4&dN3*QlE14E@#kmZ0rJc%oi z;xl0nKo_HvL=`*!mlVd>(*)ugLBaCMst!dnum>$(t6$2=z(%8Z+ z^~^CQ1}fY#fm6mPfx@Q9B=-rh&;pSgndra^y89e2LLq^KspZHSWs%B2N*z>Rqsc?@ zMF{9vmUW1U^&s+qrDBn^Y^;IooOV*f;s{(zMFC~D6&ayWa-3NzRjLnMD$Z7-*OsH6 zu=ta{HT`!WMyt|v+eK~u5q_}co$=ViRgZtEyOr4GTgIkdx@%h(1^O^c?q{Qbpn{Wi zIZC%xw?ATzV-0<|fa%dcbb zNqa~!Byd9`zJ_8`aE85vY7Z&I^;LU`f+O5KMK7J$<7g1_cJZ$kE{)))tTfyje{H@S zWw5c0J+e!Q2O=zuZUouY&p|kMlm%pb`88aU0BIG=#KgH@17xceyj1vY`yL9#3IsE8 z7^9ImfV(;Y*^9*{#!pPJ#}8IhYYK-<66{oB_c5mILmy4$Ba}qTVS7-5zLvoLa0?Q) ziIUJb*3~{w5M0m$L{d5v-2pjfPE8)~Qrbe3>VF4bit?$^h&rS6VnKa z$BZ~bnHhE@p><8Dkh#tjCZ5mII$@dn`OKBoaD90WN(w&ALnJ(=i`HHzl%3q?n6=^O z&3iHO(SwLCK1=W88OU=(S&e~tz~<6bkdvmJu}DvWx}nU`g0_Ou3G)|wgB`+~Wll%I zA9jX>gpulm-GwZ{QqqT=6DlNCfC~AE0k{d0k_B zey4vb+*i^v+;QREO5>`q$15ecgM1;wJ>t zQY+fdggZ3U%Rh$(-j>fuH70JkM}!Y*=>Rb|i+p|UWG((4|7iawyes+zi<_wmc8z{P zoHyWH*Z8NgF;KgfV~B5XofK-166T&WhSDP|+7;zf1jha8NK6>Py-@<~>hAH=fg~ul zYu9?%@CvbTs?#GIlJuH;RCWN0i}1iUMJY&~MQ~XLcmb zn^bHWaK!Xv=bs={!1`!GtmU9h%t>@Xgw@%*#z^*zfg&i-d%X+Z$$>7=nmIolZ^P$$ z20?HXU=Z9a0O2)QngOg-K4QA|O}!5n&aH%Nalc9q3Qh?i1{Hf8Id%jqmxWhscF0JW ze7Pbp#Y~gZ$0B0W20KAOhNnx<5rD8p#3dsjfFUtovoJ-_aD4}~Li%7d)yhYxQR0gO zGapJgtd`Fa&W87d&vY2*ehokCEQjSX6+lvon6$BQQ%9t7fD}+VSTZAnwHr<#^)vCz z1|wy>ov|rFXq0w~G8`ev7zV&_kPVE&PS6~%*vKIg;Z;(^7%Y?^%haQFo47eeuwsTm zM)4vcY`E0!b2Nd*ihJ0ZZ4JOm!~n(wcV$H(>+mcJ$cVvn1!llP2rxlT_G72$^f@P! z$jc6N;<@;hj6{%mlgosSpoiQixSAZm9z=5Cpr01N9bmGfl?rTA+wAMTw(3wA5=n+`ObfGAStj=6N`0Yb6Sgd8FgP68K66>np2LlLAIV^ZK2 zSQ5Khb^MS#?bJ$Vav+3EuOmCb(gUO%i06vUDpkNK1o73cHhC{Zs@&C~l70#Btu}GEWpt-jZqD4R!&&se*sH^3w-?xQyHD+z1>sY zDV)2y7CYN?4Ba7@5mJBVgJBE{wQ0V(Pjt5w&RuVXf0Fr_wYBFMoUX5bx>WB@xCC|| z&+;^={Oabh9%%9@oC4bu4o%#H-DhR*g6cDYuGKxkT9HpQfv&|bh1*}%-R=&u)iD(E zju?3tqS>>2f4A=LPIvWC@D$t7`i;q%?PvVk1RFU;r4R7x~9s`%|ObtlDRrb z!JcTuPsx&LhbnS~OX`>z>xR+J0Te@2R&e#8ySy1EM_FTaf?>jpikD;AFad(~lQjZy z#)KC(5#kJM>9&?B6v6;nlo~B0XQgSVt|i^(27@2k(SrZS#4qg?zdc`4aqcBwaEY0n z;2*Qb=hL^Z%=x9Dkk9<|cz%QfjD2*?gwz&i$LDyfP$J_5XP4LS&nTr+`PdZet0t)4k%p zJaLN82$YmFPVs23_(J|T#g}`womRmSNk0~niQb+S=l?v_dtLl9`*CN*BGtdP~NYi9l8{ElmORvsylN)R1ggEQLC$vmQ3()T=}RO;dUAz5!7_zWghI^jST}gpMdY zSl_ikWt;v2H0NBj>0W=oJ%bpV5-F@5ZCqlX-=gMQuiu0%`c3y3QEefwUG`zQGboZ%VO$$|9rA|q{;QH# z!D6I`XXrWlFF2YOBwt(2_v1m>O1eRKKuDBzXt@nHbZB78X)vCO}PI1rLy?N5xkZ_h|!(MF!8Yf%u0SzZDSW%ndoJ5CCek>8G=nQV-GJu$?}(tMr@tYjSK= zw0yKxeb{x@Pi_2WD5ZNmN-4*v!jSdX3B_8U>P_6~HnHnsKez_JtL;m;tqpMQ&bGDP zSqe@9l?Lk+Tg8%?%KH&&DzUtJ z<&Cc1dGC1kYQ3iqg!$gOwfv5dlpCPi4NX68W6(A}5GSqQ?=6mrKkA8MYM z5)y7Sj@*r`8u_FgIl8uu+|7(1xy6^c9&Y4!p4`3p_`Z#tfSYLG==gr%=)G+N&kZCk z2*QR4@Pk>6v12~}&M;#x!@~aae!ZoVm}2N_8Li)pxQlRWJKSx61TF zui(q3{tP(PO=XAjJ?@wCHMQ-g>{GsFeU1S~MFS5P>$Bt8`w(}rRkh$Q*m_uE$4de3S|;(Wa2HeHg-iH)vp73k zzB8MaTbZ)OW~6R9Khr9Q--8?U)2(YDK;5TY8JVI8Oe4}PLx8|a_0j?2ZB`x){Wp(c zd<&mhey#7dUrRLc1E}%GAgi#6_f?-uj8T`eyFH680hZMdD8Xn)x)r9ZgV`}}@t=6E z|3oQ_4R5T_k}sPradIe}Bo{?@AhMF;q)SR4;^fn>Z$JL_rr~58Ss4#HtteT_dRHf> z{gAMHUOXzkD4rGv&X!sn7W3j&@w!+PzbW1n$Fq}{hqK~%zFrr{E@_M<0JQMK0X<>B4U+e2s ztBuA79&9y2jJ|FGRkArBpfS`C^PfDsb@#E0O=l1-<0IO+b$nZM)J)`xa9^0e0Lz8X zLgUxVtpo_fLN{C`G|%J*OR%a0JQeeK`swH2JpIP-6)Si$+){$TeX?!1rpj-{eJ&p^ z8(l{xZ1Y#~77zFFX4{=xPJ}AVW$Rw1Dy=8t;kWm`c%mc#j~>8llZhzzEh<*)M0_Bc z7fynsbe@<&!gO+!U;%5{BtVl;+mkI>UnM|09Cu7+SM4{LU!(o%Sme>UrocHjh2OjzV+bFS6|$k{l}0)wPe z?P~J%R`Ev7l^UoMIGnQGThE?6dF;m6PM!!kYFkB1n)Lw?l?}QT+ZEYJ7?In0jsp3z zL;)j8Qh>D(;BKS{#faLFB6r(Wj5zPi6dSKWl%Gv-FAf%~gY%Q4W2A69gGU}Udr2|> z?fL9Du!D$!9V3mNI*Z8ZIeAN0h@hv%(##`)3LEGNl3QgOF$V%9S3CO;jVKGU`I;%^ zyDJz|;B}rC5Gj*!LRSzflz<*S`{tYHGNwF9i6T;ulV3;ER@vVY-(3&UBKdB{?0vT# zs^PG~0EsK41X@16Ou~!P{e*~CkB_u-mBl1hw;K}JZi{7+(Zt~oX0e2!vl5P>yX{ii zg;)x=h!j&Dr|`6LruT=v9hoL}F4`1F>>nUMZ^oFP$+*U~a`T@zPBJvFdKB=ka#I-WRa8Y;s< zxalp!j?K_E{Qm~FNjHJ3V`A1*fq*4PvA zlas|MQ+9HGjD_#`eQ`Q}Wp+(dD2&;-8_rKLc5XMPQZUTOiHRPAk^)W)=Nx^mKYfvMmB4NwBXbMgwdANL>1awxRUte6u`DC+BRnI7yB5jIBw_ zg6~W*3z1(M#!BI`NXc@^Rzq5K_sO06pNb|weUT8WK*>TfYMTNS*$;wR&p;>PP>CJk zT(qEw=A<-3ZigUJ#-=c3Y6c+Tl3*}G5Kgud3HSCF5ANJ@2$ImL5I@>^R+Z-UQk&z& z`0#ZUvJibt57>v|;bqkJ-iycgzy18`p1=D!RaUg5wY7Z|l(^3I#`;a%QbH@OX4G@HLGNiNOs{1yJ+BWwPdr$6x*O>DM;6 zHaTpHziK_UNi?=AsNT`p4uM7OV{2VGvzW1PN*|t&Ez`U2-M{nnm!H|#k{w&|$qBBs z_1H$?*erwTR`gtnQ^R$`c_LW1Tg7cS<)>InpA_?xv(5YUTvg3Wb5XsHZj+VrG|J)) zxz+aicmm7MHKN@(DJ2H7Cy(zud;0w2M^A6%SXydD5%&T=0xWGwlG~>wCnofIJ(Ce`Pi3%Cha<%IG+58a zg$%$)n1D|?$XNwTd4pUy)vkTJ ziaX`QPQr9mS`-skXB;iw7VmV}mzhgKTyoo@qzpa0L2r;t7F@#MO;~Wuz^u&r6W7I^ z-`{_J=gSxOY&y;DC!WsI{&)c{RS9x06LsV;*X>c|$GduNg;&tSrJNS4Bdw3KHwZEF%(ucFndmLwD;Ri~+u3so zMlBx_yb`#jWT>wt%t?wk@D+J!qGtH&Faix`3JX@$A9f zJNG|pSU}l@<3+rIN?ZDGu-7ZW0MZmLV=fq|FuTb|?fsE7FCh4M(0u2&ZGEo(?d zp=MOdN%fn@=bK~pTlGl72wV>RJ-r)RsLCirRN9viw2*B-T%0U6%K!a~JIjL`PdAh_ z{AlkNv$He8?-t*Ea_b|Zz8GA352-Kg!N0hFv|MgZiIe=K`_Wz(twQe(T6?q_{e031 zTKga2G3@lD`fWEqBDaF;A41?OBZTuIzq@)q>OoZ9ZZnF51wauhxO#u^diic~@IA4F zqvQE(1(|vk4=n5l1-BtoZFfE*4mWALOPiCZ{A-%3Yz+MQRt?E~wvK@4$R)?#b_uXu zKQZwngqEOs66{eg=f|7btM|NZyqcd86o~=QhV6hkcs)CP#gBu{`?L9BJQ)}F@4A9b z9rv7<%hlmrW9n~Kvr~w(dr8lm{>q!yr@xuK(a6tM%U7$}3AU40A9duDQ4jv*@*JpE zhuk(~?pMq27WiFagVR|Dx0P>PEte;+=d(kqM@{4sr|O&3i42~U4sKx1k<`uzb|^9A z^e8pYWbzJ{#OexMS2KkQlqEVHG0Fq0S98SfYM8gCuFAYskMm%8e!M&()UwI9-24T%X@nwlaqpbLZ>Le5G5C7e_=We?!R?5J0HY^v`WEU1jII$N$h3M(9}UbLo> zb$aG7o=%)VXu+#jSelot+x~cQx>+p`&uwTWZoOU}A5)v-Se06*`|Hh$pU+o~yR+>< zswWr>uB~9v0M$4c+iLdK_VB>ZV@Lk>;qUXK`6(E;+02>kVNF82ZkzkLe7!uNN(4k# z@Q*q2V%MnlQvIaX5rV(Mw{$8)St!B5*XKfi=mi{b9T2uROX$r0nBq(uP)0tq4VyIY zOk&3X&fl;_7a{<|#p%&}wQ`7KXF4U~ydkz={r!6pwK2nDcFq{B!!6Hx(%M!^FU%PI zY`s|?5U4IP@Dd)ifR+rRP0%zD)$z+`Ni*DnaBr3z{2b0sH|saE_aa+eEYy@NwsW5n z?@rEN5hAf!+JH~Y&nnxqmpn)%1?pu!o-Oq%Naf-31lnX7a}f$`_q!i^D=4^4>wt0} zLD%I{q;GsUck^jj;b*LZ6ZGmXPHp$Rg+HkFPW^=HE*>+q(STe+q!hXI+LmcMozIVF zZb%Q84^0Vas2jtae6#E)mE)HL^f|1KS{M00nCptxwj;0(tPXTHJ9xr zsam+ts+)$OrWo$o>&1Z>sm+6b9U`72fZ=BO4nk>cCfxOnbyT4+|v_jg2wwL`dDew4ZGvkeR z+rY}74bTeeDUI)7%l}3!M*_+Kt8j2%bLDR;&*>)rx(kLj@Pd9kd4jcN^44?qrP%zq zS|dMyi({ey_+fN{6oUOLm1k|IHFTG)yB^SbzM35^PE{Rlr+9 zao)_2nT-Jghsli;Bn%#~S)M~wmTyIihml}ThUF01SaGV%GxLKtr^|Pob~kIj*!K9)*NNIJX2>QD^OiqAadq|jzjLa_ z@Hb1O9`rs}`OeSSyZK^`Zh{_R0{423b4(?Hg;??qnb%fua56txt_a-d`Vx8(xM6MZ zfeXy=Z)zKlj(!AeJYmh+!O`Ls2=K|l>`bKQ6Li~OP!;meR0T97{rPQOr!DUNBKc{| ze3V+Eo^05v4;+zkuY2(DOZJf8AQb={*foqpW6Kv_uX^<43E-b$ zmH4E)AH!e$+;`-_z1GTccm2t|# zcoBI}ts#c8Sx&TvOo4Lk6sW6kU z#)0V7_3W;v&*W?q(5Xeg3k1BT3o>eBD6lgJc2f-|Xg6)d~8LkxmQmaV)&Q zFPv{^*VsMgN6%pba0YhxS3k#K@>C!ipUFh|_6;6MLO{m15&x@cTS7C_+sj=WwX=Xu z32b;8N%7oZV&Fo~?JdUC4Y1j8R?sJ8%yS}!vuWwO<7gviIMYt3wdc^zYhq%nQXcO< zTbXi}JRoE+^?j6|vq5YK%^ ze%p*Zk0d{M3qZLrQ*IAO7()}H5vg=ay!fS}$fA~{X?B0Tr)iAYxidPOe_ znM^rcFI$q-(!aznd`Ujr7XGq#X?Dti;hn+>fs&MJJoP~W^(=zB+^Oj88RsR-SEL!V zBZHCOw#8$V&6{TIA~m)>r>KrEhEAX8P}cs{{L%7|L=IoC=he^Fye5;UL#^Qbw)aaY z@i;{hvh$$L{LY*rr#$B&D(>br#Mr!WP-W(`lg@Yl{^S4I`$PZhvtRzvzxiLk{^Do9 z{y+cX?mzx_^WXjaU;Xtz=-m6`&d(N|Kkoch=Rg0|U;f?S-~Zj;{{63i_9y@L^MClC z{`T+w@IU_M+3)}GhrjtR|KY#gzxlI2`|Ibw|NZcro4>pByPpsL>3{t1fB1F(PyXe9 z9scu=|MfrmqyN4CPkxP5?O(_zL8*Mu^{m#X$ebpfzmyrCRE%6X#kn>ce{8gn z?VVO_L!F%KU(jZ|Cv6jF2-`5bQi>;T;~iAe$=hVX2>Wv1M8qy_lWdu^k>NjY!@(uF zk1D=d-|4<&llXbmSIc0YqON84shD`$w=cmfd7jyp(l%LPleVFx&9qH>A!!@s^D?Dq zNp_zcjnlr=AjsQfE=k^@1JSq*PLiz~ZBpZ+zO+fTPudhzm$oVJIBS!)U(&ZP9W8B> zD@@X6_0p5JVYWsvqzu^>y(Y-~tt`F#Uv z%h8-t2q(iAiu`3fV7zbV)=6K=WM6`HJ8GNw2{A;0^r#@x_0&v!_v*? zl&tF+ZK6%GXVRB^?Ri_q7bp$d03T1x`sRC@S`*S@llSJlXAJ$z<_ZH!))#t}jiYBO zT>K7F0cPuAX@e42C_R?V0qi{8tK+^|(c*U?O6B)Wq{k-rO*6ViOhU%@sbH4Tt1(vS zYz_tu;~k7MydMvy`CL&OJ)0Lwgrs|VOa-324e2`_8>#T~Hp?I#&jI3iHqTT)%y4{U zHqNB4spLtUoWs>r$^7~(jamOHJzxw1X8VmwBzapu<1>T;=KF{OIeA}-FJ7qT+SlCXep4Z^K-%wetJyEGM1=>egmBIe|cD?@->&^u1EX3V5{l=C4M5qaf;OEu;9m*Jr6NE8!shKGgwHpn2n8cAt}$B3^0VGb3lQTtPS-j z-Iv4^WwO8oQkShS(~`|8@>Cll#!n({YgSHXGZR(tGKBlUx>KiV?=jq+I; z-^X&8;Q?BOPWz)Z$MTT(?KQxMNS(ol{G6^4l4G_nr@d)PiwC3#Pk9e*%3PMf$BARM zM*W8M=r^nfqFFXx{P8lF@m$QthOV36m*eh~WAnT(r8U!W5Qdt!<-BK#uA9AgXz8Bg zbtBh$_FfFjSsTY-d0Wm`DMFvaJQ~S6BYf{ZSeogfRNTsJLA2%bhw7J&4LX^@H>Ms| z{9csMT*scG3}yRc3X&> zh@E-gX)o_fS=(ei=$rFZ{Eu_I2bcu^$OX@G#<0+4@hTyFwDnV7MjNFYv%cAQxi8y; z2+#W|uF;m+%xTNkmo`pW()V^%dor3+?qjmjHcU&|eYmmbZJ8Zp2!^No2!S=Tt#jWr zl~vT1(nO>yDyYWr!DZ|WJDz*!WO5&Ul>#mqZ*F_wJ`8NxeWR3@abI>G1+~h~L}<(O z3Q@Iu?vX{a_hK4O_6&U+aD!UI8D4SJk+)@f9)r#J0&N*zpe?g+@YZfh4`}PjXD40{ z3K1szm;17FMA|Z%LmQkheI7=`a8VaZV#76sE9DGrlmy8k_P3+RTwT9vgCEhWC^<&-U*$v!PHUI@1kk!>FIY zhdQ0DIpium7osm3Yt~nVcLZ`}M@I@-?ai4|2gyW^nA{*1ThIeH0E`2k-R&A+#K-(~t*VLBk zlC)*#$+V4A{;Rgs=0;n?`m#Ne_2oX4oOsREmg*@OeKI|YwoH#wTSlKT-K4q(_hm8? zZT(cAp)Hf2)t1_kXft<}aNRhZF<0EMjr+#=csUlz<^b_IZ_Cc!c^-mEI)9)+wlA@b zBs>KR8HMb#z76w72xP)PIEc>dj#O_O#h|uF%&hqraCM|wK7?SqR7LH528(Hyc<@Q+7Ec1g*HWV zMO$i*HdZNW^!z= z*U#hw+A@BLl%4vUN%GG0JT&4=ufRnlhYz}&jTdxDaTj);$#t}4x@m7{zP|DNK{v8_ z!IqKDDdv)tZou|4`q$&YC*Au!%sDA-!u>C`sSYu7rG5ppVKGkDmyrIv4F;UT*Jtym zu=J5jk~StFJ4?VSKTg*ihd|Wg6c$K(vPO7rjWXKKiD7z{kHTbmFrxK9w8)+ZMrL@` z$Ig|E1A?RSJTcz)acN8V3|0YELQU_(avQh7RtKrAinnI81Zh0SKdfQtJ9ufXZ(*%V zeWko##y5Bj*yq~pMqGqaaq?o4Smhco%!>cgXwIfc|sGuqDfP4_C6 z;f8tUP&3(E2>jEG?m}JCd0|6m=RG(NjZ)qS72;qwUQ6!7X*O=_VKh&1V~Axgm77S! z+0SS@)f!WM24MrSCVmIc8>g}g9wI1{$$i>J30=d8p6il?n5OTLS6YVmK$pr~Sd6kW zn<0rBQvDb5lIykXnRI{jwapWlIl%3w^aTslBt6&QzRdpD*Aa6%e{hrxKDuW5FYack zpCy|}8PVc>j;TJC|F|tXzr-kt=`rrh0XN!l<_r~+jIpAb53 z!wDdlRgge3`vIIbg_%hn({+#z$;pO5DKmnc!Qd7lLtA06=JaQt%KpO20v{lmfFFFJpY zhCe(yIzSNL?;ac-9uDWD>HG-)$o-e2BizdVLNQtoPLGzv*)Wg9*%VJmtHn2FLEoM( fzMm_+LopxZHd$>f;$tWy+@$mKpWl6auk(Ka1#d;` diff --git a/docs/papers/1905.11885.pdf b/docs/papers/1905.11885.pdf deleted file mode 100644 index 8ec6702cccc86d6ed6598306bdbbe2f58cddb677..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1034619 zcma%>Q*$m1u%%;T$F^n3@qX$eP((xLOjjvvD#K z^7F&ExH_8|*}-^jw&?1(9JMC;=NTMGbjFT|Y)dk7ZB$;LDqFOpb<3+EYuw zn{N9qtHrC>Z!RMUEB&2+j(cjj;CN!Z4TtVyPC042+xw<~D}xD7!VrTNp|f9)QKYVG zPY-VkKKNe7Z=Km}t!lccC<#CEv~7LDbgkAK+jQ+7#CM47UQM|HEi+hkn{6+BsVGF= z_?btTX(n(~mo|T8c)}WYoKk}*hMFL3I(5VZKy{g4zI;oX<-Kgh_}O|>uRfzJ<5KLw zFK@b;_*m#PjC4i(2pnl&$8E*b^lY_c)n;toMCC!lS`@m?YRR!!`EYQbbUA#^SZ~&8 zi=e*o!^^F0HH_Q-?#nbW`!q0YjeXC{De&l+=g)PyV|TLoW#wi@^x}`LE>6|D_;(@C zuX?oas-jsj%FFeYa+yGGwfktR_yR^X+21R|SZXSD88a#2N1P3|2t3*yYxG`D{p0)s zh6Pg9R#Wp8KX#qw4xB96Z^-uzzXVhuCv9Izrf*}@yL|GAKX+U2;ijy$a>`?;t+ue> z<~H+;+;;@~Jp2%OU@RbQ=ZI5jr*zTX{cZB&GxQ?pGWmuy+bwj(l+Kh#-2$ZV8ai0C z&MLK42l-qIa45A`)pSp8TKuU~uB3-krgMX|$X-!>Ie04Z62f6pzF+<8_Xu?IasHf~ zv?gQG|E=B@P8O`m#ozoz&MBh3qhOJpm17+j25 zheffsd=l1UmbwNbFvPJvpQs1=x^oZjsfv2MsFO!f?itn499oCllM7qnoEjy8n?bd) z4M3zs%d|h=a>}-G!#Vch;kd^3C^4%Q4sl6j*3h2MhDat$P2me(9J(8WNHw`S{@88& zstcuV{TxFGS;x-JIC9!HiX+^@?I{>_;>M-W`NqJGO1i0@byFHMF?uxZ4qEe4duZR* z+fI)6DnVa5{A#9p>p7&Qf8Ax&$ocl;dbi^s;))AKQYmk@#Jaa?+Y{lUp><@F*weyV z)cV^U(qqOAvjPnhF;rj&u{K&KHW2Pqm{zNR6wQ*;R2hwfb|N*FEyATVcCx$0l`rj~ zJXvuR9$_v>V=iGOVcci0jca%(z7-9tol)}ZYPptl(3h^~OLaYJ$F!~loWnUs14M?D zBl(NxV`yC^^guAC&i*~PWLjnwzc&2Lnka(gy)n4RK5d^Y3c_nRG4HP8z zn1vQhR|f_EEmYz#?om&T51MLR#u-#-Gy) z+}T^beHS3b3Q+L>6OmEg%?Nt{F|bQf?AflJKPmLY0Oe&-5P49uB=lxS?M4rfE9wl; zz4|j;SBsI-$+QoZK$O1DIu!PH^mz(}{P#ZgZ+j?VKem@l3K+lB*>pCPjdHN3A?;da zaqTXaDM{pE^4J3jeKv6V+hRfS5M&54o+Y!lk2qP1NFMQ2*%wHlCz-QhMftCSRm-Fw z+FNubXSE3PhO3=B5C6=0vs+OpRq}lRQEJO%iY6HM}tCqMnX7hp=*P!-i%z7|U+ zXkIPf8M;_ag90891^EaD`N))7Xg*f75M(XPGK{BiE3eZmMkzeHjTu zm#ja`LtPk((Ees3bAhTO!hGu#QenD+yGyRGI%tg3wy?sm6gKU^tYR~rh?r+#Jd-#Ko@+54E4H{_x zOQZr)Ui&1cdfi#gQ_AXXc7IDdq~5)_fnjhE5On(%;nEL#uV8vpCNiG_mq{I{CPews z8oBIAt!ZU&`ljaX41~Q7r|PKME7r<3y7Lk&iR&E&S*QG9I7p+s!y&D4nJ^ z{c>V=6)E^xgAf!`wPfFE4cJ{KPD4%HzGM`q#x()<=J{Ep0zImmmM{FLN~hHSB=v#v zBMUWBT~|!!l=xee=pUJiro<{6H4N}M)*naJR~IQqcU_>mE3+efs-mMI=rQ-LTc8|% zk65({qpKBuM&~8?)3arJAWCKRRV^4#=W~9ofD4g*!j!*s%ui?4TQWF-MDf)aHRR~f zjH$`S=GAC*VvD!Ngy|!TmfVnRs@3PFq>^ZV<1N7xLH_71>H6vi^p&J%tR#E|7nFnQ6n@n46JM`ykyIpr@Y>+c(f;bS4Sy)y`UykpJhP!#w)XN=>u z!4%e6LXfT_VdXpTV-MqKrR~&iv8Sps)I3k!jblWhm%hf3c83Et;H!zYfb1B9<{E|P z_?vQ*VX(D^Vo4=*PoBoZcC(XQ4-k~$lBwf-486IaOo1Q{>8Qnb33GP#oEg_UZ$>-Y ztERc6YvxKPN6jtrx@9>Z)@$vcY2fHF{iM$f&BlV?$!q#r+8Qsr<7sO}{GTU3Fid2i zE9e93lEv2G->>5Q+O{124n*0mAD!oE95ovVupzvlxx+xb25$7aXmO9s`t~>3A=OuY=p}5?9cjKv|g44hzhd&Q2L81x?-PPISjv zu(>2k!OyMbj~CJmf?Y6bBAVf}I_cLvIjm5ngudcG)?e=<3#Ok7OT#PAQ&9{vobGYo zvz|luIjb7w*ETje{T$m&0IA!=DrG?Qf1>+kjAw}3@FXvq5sB++#fl?MVKR3X%q1Ql zlB_MD>IhxgqyNGvvbjvW%Ln4p9xLh)HdF$dUyZ{0vusRCW0)?e-?qZavlL4W?3n7r zGxLBVnQrdc!5pT2jP|I^8a66=O|Z3wM9tK(y}P(ua&lN3W!31KB_3dCA`+>mB~lxeErYMJ zJNogv>#*s5gp7T@2brXDXlDi;WX5Yx(Y5NXLjy=iG`rJP7V09fy+9JJk)ah_uqC=K zxPf<A_fVg6sm6UkR^1K=WNE#8N*EAsWJgvb z4R9bGFK-@zxrcx9UMpNAO6Vvsi0Kb8IAZq`AsL^tvjG9zo5QnucTlD>nkx--n~nU- ztkM{P!-Vps#8&IbR_`CMRWs8)nx0im$a;W5urNdf^%1|>6$5H^MNaHLmo2fW_@gVB z72RV!-LRKo&`?e~=S7ti+*%>dXc?s-WTT+)FFNdHpp5ZrvI7%0PZAKUvk&t|nfC9s zTx7I-$k#DUJCVy&56j`^j4_;AbQTtA?V+Gi7{a#<>|Sre2wVoT+w~xEq;&utGjq%x z2?nBroHBovNI6&kFrEpxpA(}DbiQj3R}Vc#4*25dp2(H(+!N4>i*!W;ZK>3~CDDu% z2Ytj4vHSugJ09QJ(57C9b}c%%uaFiup}Hdf z=!3kxWfBJAVZ#PL=ywLOi4R)q(F=gNMU=xIxX(J>iLuW#QpAz46og7FXYXhF-8?yx z${C$1wSu3mpkVU!7Ky&0Tn3*Ph_{raVSTsU)kU&6n#2GI=5F<2QP#1ohx51CNu?kH zFQ5Kynf-3;-Sio=p?W?(UDp{~taF~T;3mk_t8 z8tI$NCL(npv~G0Mk% z=~)C$dAh^};~C};VD4+tN{l*{Vt5qpeq#;FRKi!yjtL%NAPyJLL(6CmN3pe?E^AoV z=K?vKg7pdMaa5(atV*P_*^K;c~ZTM50 zUbGZ~EjMTs_(^87@pO}$gjeek8rU;}HX7(cg{BuTAiRPM1m_pMIk`GX5k>)hgcsKP zaK)faR9c`rXfvcfnYX8Dqjx^>o%@5nO#Cp>$Sxh7cAl=T8VEYL!u&FDL1&%|jaYI> z7;1hTpl^KVM`S(US5JrGFJ<%anFXZi|KR~gvboyGh0!cZr{JiguyU-KY1_90iY z`68po@BHCXoVBrq*5H5rznq9dabbK9M$yp)bbh?7B26|z$8ojI6RaT=B*(HnWvBZT z!^B#UsZGul#^jMI`3;uBK8oynL6)7tSw#)G17?2$qvT92GuHu>y2 znA{-eUe^DRz$b?YUXI#{3yE8OGh&WW7G{K8yFfX04A-nqoad}^F3!cOFY>cZVxG}= zrpFs^80k6hNEz^2Dr7)9QQaGauLE9GP*V6PMw6MxBIj?W#CoE|6caUlh@>(CwM~5& z`Vpb)@XaPd_@nrZXjVt9a8W;6{_w8wp&A(@VQW8yzq4Q((HW!}5mVlAWsuhs^|V2(G5hJ zYI60R=~VlzyF&ly18hunmtRtbf6*rNv-ig@yobs`8R!S=H@O|R{Ioass6j{o%d22RZ|yI=6=#fiW9l}%iSZm^ zJApu=y?)nI=mld9u62N@;S{Bt(AnZaWkp*q+fO% zW%#$}3EdAjV95%yNa$6r;bv8&zHb|uxEgcV(q>Rkb444hUaMscKDuQLo+q!Y1UY|x zR$QE~*ELERkY9m}l+P`5K>{;&v^s`QQ+=?}*B)!$wT;JMzM#XWv+gz*G)4^=!NYLa zpQ||kRup#9ik48PVdY!wWNUg0g>*&9%SX`PfG=ofgdi^BX+|IxlbQ0uyX=IL z?o3o(btaKeO}59}B}(g|uROBKIg#*FEZSp$L@owW?8&|pNUVevY0Bd;m@clZoq6&26R^=RFbw27sLO?O zz$`ZrUqfcBf+GiYT0=SHgCwEonKN6m2adg885N?R9c<#)$dz)P`2Y=~OJ7saD%jT0*O?@qWB(P!_l@)WW}k z@q0;Qp*EuEs3i#g?zU_IS8Y94t)AoQfLXie+SN6&1#KOgq*wH-mglh0P4cD;raG$F zOVV5?%+9@o->TZ5WV>pCpKz{E$bY@m88hJ^_e*iEBk2>4C4;O? z0JYEA?c0zQX!4F!yCQlcx&l5-LZA2&U>BC|h)GcytsK8|s>!`2#3>%|%52ct=uN`E zIBqIJ4b1dz641Zo<`Nj^?M=XaGHVi@a!pCYbkiqQ&lX#hBXD%(z21-OWfV`>ik=dc?Hz9gcy< zdlol~b8t=`CSC9#ZY?s&O`6-!cf#NNVvBqAXDa)qc*Xsp8Ce5vzAv}~7jyJVvq(D> zkqyor;oy>37zwT64aJXHV63)V*XKBJoenv%fgV{(^eeb{Y3?FYTzfWVCb^P2A0yi2 zlbZEC9Y)jL5L`vnKGxTgw-MkaGIYGQuQ?_0jb2+6IH^T6;vJ-D$BTsY(a+Nz{d|`i z)1qGhL{HO+UFX$1CcN8`=RSMNCgn*R_ij;MlB1u`rxsE9I@{N{i*&%@a|*38o@o+r zlXwrlBHpGMaW$>Uhr2tIu6ePSmO#tQK(YFPFh5(5Pvg=aVwQWm=SzH+QyEk|uakCe z4{a$}Rib=$Y5;aY@o0!O8X`mLS|fdQ7Xvl%a^jS#Qu>>t>b2jbumv0~=D{K{<%WpP zt-AWtz^}+ZpH~M0fwlk;TOHU*6jVcXqZ_8QT(bsJ|6mG39w5#x{T< z7rAsSTOice*skg8f@iGKKwBt}Eqs8`d8sTSoz7{l8WNS1D$R>$Fgg+qa^^g%27rd- z(7K;S8ad6FZ(s{Q>*(X#ce;xNCCXYZXdREFA9$=iO29=VTyg;44>9+kBPVkKc7RP3 zO-mS*v{!P^t;ATLP8aXwl!fySnDrifeSZ=}+aZpElQ5X_{9@r-Lsk#8Lz7A)1IV;cR`wDj}oU(hGiW-sBx zQMf_O5`W%fGGqp|(F66{XGP#F9v6jzy;%~f1-Z`*S>Cw*Xj{7O^z;(UVS#*MF?vZ< zwO#VbSv87J1N?6gfDk~%ydw;Zs{6pbrVT02YH+&c;qZfK7Cq=@W^elc=*@rK|7AW* zOf3IP`oqD@$nrnv&kCPS(ot)|-m8XeuN5^3{sV-^T#B@<19gY$;jqt1Wz#FD#Lz|o zosx;t=Eg)_pM5u!B4I_tYo%|VsFEiuc8ouVs=i-4b=}WbrE6Y*_v@v=uC$XHT1xTb z<<2)6)pH85nG&%~M_ly^V;(FM6<2;=jn2|)93fWUxUAzXlwuRA2fh6lA@WC6`-w~SVOk5 z5Y-mo1j+bQ!?md&GA#3;$4UoAVwFZ9t*&3!q1)4;k5X~prJ3GQc`w5}NmnQ`zw&UA znOw!^Z&cOQx`&%t^m*}6-&fidk;R@m-l~&9vXEs(P`X zKzCh|8qhXaH_?i^W+Q%n*<}+GJ@PkrruS;A3xcZ*NPcN!t}Oh+GVk_v>*gmjaz(|# zfOB!x)Y!N*@ZB*{-j|o~sItpnhhWPOgB-NryMe#i%|llcLBp(o{K6R-vo_Et+OlcO zM|9hPliYc}%x@1QH_l06;jSG^h#>RV=u8%xhG%LxYukDa)jf0-ZtU=Fa+G$e!Ln) z!%`+7Wai}JbXT*`)7uhZCi|n@RjB|S>D5njzqO9#^Y3G3+zXQs96$K+FMZk9NEeF~ zG?UHecMvkLH5McqsTPiNO(N(Ti2VXS!L<~(HUjvYv&D=gK!}H(LVIu**5jJv^T(2L zx_d>ja7D0sMKJo~gf@&>6K<(XkP279)a3y;7=)#yS!J|l62~Jet*)OM7DU*JcPYqA z5S%j07Ht2fcjv`D!XvfH<7La~j-SsOcQ37q!U8p6Wv{n`JVb{X9LdR22#;cmAkex&-!BgoSk*(wpYQ6A$!fx+J$$E?Jj(ur ztagGbO1dF)_99XeRz>`{88dZp?iwMuS02_3^M`3O!I_nGaz0!zapLvaOfwt_7y>k| z{X~3#^wtl-owGDvIXADKw)+$mW3j7M6m7s}qr9NFo(w7Oc076_CK2|q=hn%77!qYY zrvll`B^K%S_rb< z1U|}JQ}~esKxfB9+eDEKfDo5@iKbvd0YN3NMXxEgyyd_u42_V|JWduZsTb6ana|D4 z)z-jjRtRD?GM&0K#u&WeLPh>dqL6|0q~+}zbJt`pRdP{pmqFCudw5v_V<>)qx$O;SM3UQ_o$QY{@?J8#o2h0bUD6h1Niowny5tD0F zsZ>1hNaP!}Hl4g-&Mu|Jl%f2J%4QhT?)c}5#^nHKGnF~D{FdF$wNU!dHSM~X*{oDm z@vJuS(V4vqo$kMIY2TzSDf&dvnAy@KIV{|~x-#yIIwfqQ*Gy+fw1ez~#Df0J# zKdTZl>CnEp%$rZU>@5h4&RZ26EgKdb#Sjl24F9;T6|-sE?Y#2~*yPjxTw|}c*cryf z3YH}D(X6Kd3vQ}dxtghpr7>}!7N96zo`^96>Hf&i+~1AM$m zgp(;QT;Y{R$$31zak73}UDdz!?4<3>gcOZSWDTx+-YMcKoj{3jbl|0;Q4W&TUruhI z-r;9{4~#(y*7@Fj{fvE_4*~BEDz4IizzpA;tGvee2@hW4yq4^~_X&#vk3p3Ox6JPE|5e<^-mLlso3sdpCAu`JAiUuQVf;={ zTHWAf5D$vTTNx$}bGli6Sm^K9C&o$4XjM5=lHiHZbo;A<>p6OaOI%Tqzggyza+)a_4T*=Wh4w@3y z85$*uq8VZbca$h6{Z%2XAD7Yf#6W3$lkIYy{6LUyJ(r++2Dcv>7j;lowQ)&hI{aS_q7C|u%Fu*FMgC^K3t>pC5z1G=^Zy5 z^=Am_NS=1|n?O>d1@lRE(s^E+n!yD=$jadJkipPP>}-F$>X{(b-^uRdsBg2)=s6g8 zUpM3BLk$0hi}<lbhD_p_eqc?|7}`vu2gRDwT8O~e-vWn z-^7K#pu0sTMG+5d`6yB=;MH1#DyU;_5(t`PE_h&K{}!F-QtJ^XI|{)>FOVH&n-uZA z%)IcQ6{D*H_|BK{+qwuh5NGDfR!jAvkRO$l^?+P2L~OFs{jz7F@(pGF@Mm5xAs-Y0 zFrT4A7)qh?02v9cUiyXJ`%bhs#^+e8&3$~U{G=BbDEbuZp0)^GOAWb;K@bYf5PE8* z|N4I#z0UjTsRf5-jtB*iEX1@Hnj+o?MRkL31u`dwZALER2I9dkff~Cf7Lm%Kvp4(= zesxJ-APcG$qe<;b|8t~r#}PXl0$9gmPiNM(n>hO-ke!bj9@Z>Ad|QuBiR4ctiK@1; z(b%)+-fXLWX-<3Q(C<+1O;ZT8k$aO)<+esnMVu#B=P=D?U!n832We-|6U!Q6aPb(2 z>-yNTj*e{$M!ak_tZ1m=K1jIvo6-tVSvbQ4Xz6RxjGBCZ8pT3<#t!SfoemN)jn6TY zE*4#k-lxx+lU9~T`Ls9soad}+@rg>+toI?&Z3D0=tb~!Jf-Nq?{ufG83adD14z+pv z0D*$6iG({RWcg7>5s{Ln+dz&LAzl#rU?IpiNTX*%lu#qfZC$jdhKnz$)Ms%r{emaC?_`*V=(4ljw zx&haVfCsPiG$Eeb@8?%?_8?WYxZgAtuqd{#hQ8!r)VV0>AZ{$v*t8Z=PnG*+u_yv* zm(x!@A6vRg<_uAaSpkHD2!Dc7IVlul{3E4cU~GN)P6<`1Ne0n~XD2RSkpKlWFXl~! zs0uR$1LY|UMA_gT3rp~zW@bi9sRe9_lyhz>rqft=Q$h`XN&YTIph-a8KQL9%!J7~R&I>Iya$}@dw&O~T0Itz^X`t)c2SIkXU)#KD%ap1a zk*0U5asc%x;gBmbMQa>Uo(p5y7Y+(Z`pa~1I|^mU;Q_r9eUId?jGmTo9IqBixLA%? z2G%B;LupM7fJhqz15`873{O6X#qk#LQ;(5nXXwYN$L0h3!TIIB^Lx!s=T;+SkOciUG>p5dye$+Tn2nTdAw+f_zq*1 zGs1wJ@r^;HyP0Ug@7kd8&g1!E-rw0i2%Y4YV2fv}0J@X?jF#HUwQBn!D`WwzqXcsa z;4+iAetA|uLuy*T#-l?rQlbTe0eXC2`TlPD{ofekg@fo)hIsx!lV zyNoHDp?QC>@kj-#8eGS3mpNASeG9UKtXGP#ynlK;_*Z1f1j;1}@Lc^1HLXeK2{TRR zRO;>s@=sSf0lp~3q6N=t@Q;!bCmC)DD_4E<#-p+9nl&}1gtKze)a26W*Y5DlNpyaNGwnayn+gE zwG?ArzheCb9``ENg2&!gTg&(55gPg8<3#V)UYsySfHk53U%yVi*Q-h<(%?R;hG_`4 zdl=s+V^g7YR!^JCe<#6QesVe#R`lI$mn-xpP%UV{{PBa?UK>HDo(ZfyTv5d#C+-;N z5G?tk-b<{W{ZiH`YBWr2uPj7HB^NA;jBE5|@!ZGTAKsBcpGdEkKPUam-1!-v`3kT} zBz3|se_nw}Z#ZhEz?|)`tPm;$KdxLyFiOe(*)m0{UV_vP1~lo4O>1DQ3sD3njaM1; zUC9n=8{Iqz&dDUvs8%Z{`W)$frvpqx=#1TtsPf&EMwSPR<5U7p^Ncbxh&e5M%@p7` z=<}Vibr^^9(;=3hpmgpN3vGRKp@FQ8t;rWNgG|xqsUg5OeQf^`s_eIv=z?VUA;eGU zO0g;40ENAh|0V4ThuJUG+y){qQ!xH@0ew;LvHP{lF=lROmz(I&^m|{~+U;#)+qmB+ zIVc73zb~6euNwS3D!BEg?PyzF1smPDY3Tl*@Mj{0$gBBuC52Lm zV>>U#k`-&E%pW1Djn$~3kYW!@7; z;uX`NYnJ=a%)vR`!_WM<-H^x?9N*1A84vCY65h(pY0O5yVlEW_ z%}_{B6UoJ6)ILO$_$0kiNd-4FEO`>C8(^JF#lq4{Iz^s3gSmjhGwMj62?q?plN&D@ z4JIJZ1uxi}dUovaevsw{9y?zWk#nnz>h1CDBfh|ZDQXZOO;K6x@x4XyYM1T3v0iP2 z;F>wFBxXF?#}$~`PTmNeb>ly5Qf9kDh^9_^yF{Rm7!E<>n3x-Jqm~Po_|d{bnEHv% z9)efuqnG=#zL%9u2*H9BN&>rkH#wQ`bNl z<&iLe*a;a?^XTK1u)ro)INYi=%iDB6`!+9WV7G7Wx>ExkU)kqJ7b z$+#a{mO9#*rb4Mbyi6H64xMM_3~7`ivw@FBAics4W(y)sB&G8f zV)^f*Mt545i$relz*J4Kl(t-!ou3Xm$S*E3z-n~?VQB_7i#e_zpacD(v;nAyXgj}0G$ZWF|c7k5X42#wQKM1OHF0J1!;Xv^sIpx&3 zZaaYbyHciTPCYW<67qP zC%%V4=+MmjAh%b63r`%y|9wEWJV9sMIdkhVna4>G7S!yS#j(t&-0RlWe`u_(C-p{* zy1%>h#rxogN26CFgZ2x}CqEynNJi>zuIa%i6z!$-65rp6OMNn}`H03F0cck)yj$k9q0s=JLHqY^SRyuCtswm%qRv_BZ*`RJ&% z<#n^OQ#?E8>E^PSh$U} zfrg!}yWV742Tc-8<{WDy@Z^-!pX_2pb!f#H+gXqhBooAv8F_DBRzC+X(C#K)K^hH} z0!HXj^H{AlOvUg9%@$^|?r@3j+RxeE^0di7X}+LZopltr`q+E;R+S|SkCI{7)b&5( z>{tQ@{?DuCU&jo#P#uK*d_wTDqv@3G^7i0k>mAZvY%hlnSCUV)7J@IWLUn5@TV1Hd zS}>)^(MocQ3283|L?^NN9S^Sq?OJWm59{sCEuF6zs@$d{Os4c_N~6@8pO}MY$q&eP z_W@p3r65`m9P&O%u`*E`V8tQ*&um_4#tVwJ9R1$ms4xAdUuYH$Z zT#9sYoFqWpwI;0Oo=Vp#vK&&)%K$rpv`R}Y^4sg5sjfj-88xsZDjIV?Ls`LEA?hBS zxbX7yMFFQ*Av34!ym3Hp!zyIS9ChdB6L~bjVfHBU;^k-6MUW@rZ1G*V9A#IFTLB>R zdZXf&QcMqSftBX1o1=e|0!aSuj4eujxSrI;ihp#vl_d?8@#u&4L|^ZSQ1&|I)!tib z{GQ{@dd!&kapv-3`wslo2^|QU6-`<+y)YVhYB!j_iC;2^?Ko>O+Z8IOe5%1OR52?V4%3}25N7d}Xz8>!=U=2P>Yt3JImn57*#RC5Q8Led@ zO^qCIyQ}T4H^9Go*&ptFIJyJcv2&=BKNz`BqaTdYHfpi`>Wd~{mY>Nnrk7LG2H7hM z9i)p*GY0tQx-y#<71}(HR0h;zkcS*LHtc2ZU;oT@eov%0VB7hkOxna0aoKK*bFvm z`KHsAWyl=5%r5^16}+-L|D6qrBND)>VMr^wcuVe~EY73mfLnoq`+WqdIdy(Z0;=)> z+&8OT3aZvB=I}sWAMRXFYXX%W%)z%OrP{U^LFG!M;bQ+|&sp7Z!VDgJ@aPv_oFyAE z`sSe;_TlN?GP!+8->@Ne9?S*65hqwpeM7szXgtLUX|gka!T#}RrNfxL2brw*0A%ec z`g1?8mBfGnAGmg&?`4JYY>WB6b2A?Om@YcZFdX1#zbkv`s#VOW8LP_;;3P~9C;fVn96tZbZ@roS9wOOM{=SY z9LwI!<_mZ^USG)G5F#iJ7G*VL7CP^&PBnVCu6;aIjuFn$ZBNfEjlP8s{G`OVe+N&l zjXxAr5{sptC}Y*bW~p=%iyyim{Z`cD5?a)kQ1hzszN%f<|ll*|2>WV3@j;A zfukQ3@1#LVIR1NucEZR4fg&GoWqWmyI!R*{;WboHr^Y%RBWuI@18zyZk-_nKW3|?y z3FgaD442pP-ChnriY}tY`w<&BR*C`N1>mzyb}fYu7w^sDtvwa?EdZI!ZQ~*rT@Cy- zsvv%$9wKX0*3ucYk1IpT%4G3GbRLa>z@p2+H_gdb{s^k96Trg>sQEMWTL4-zz}=b7 z(W&_-r{_B?mIZU{9{SDNq0D4AcTB=sAXoQQ5-C9)DKM>-9oFI%bfe4jK458DW2~&u ziM_y^P8*Lq;7iUItHYrsHXnz~Tf!5^9RIcm3d;&fas79H*Ml9BcBNhTa?OsibP`EuFA#&nA5ikN!Yw`E&J0*G5m|Ekr(6R`KtfpGdpoiObCsFY_?OFLErl;sLr=y-zUQx&SVDydl7zbpWo|@kDaDo(BDaIfCp&d+<+E0vD5P-A)qtL=eGVIuAi zQ)Tydk1~@5arO49oQ8Vba)1sh+Rh1`zSlCF*9!ia*`JFT^w&Kj)W$R1uz=2Wh$T$dPLu)Lf4 z`5n{B`!%e%Lu{F#Y3Hcwy5@qgB5t`;w-J>M8!aci>cSyz2=+OnCxN7btEO&U!617z z9Q8sZPG-C?o`h0EtyP_y*_Dq4_6R=3X$cE1O8oq8BeA)$Zdz`V<|NmL0%-MF40iBs znv~}4SI0lTAX>D?mT$Z=MR6{!fkYO)+ihnv_v`1&0cjVqurIS|Z$sWg%^5c1!?afy z6Hme-hcWQbeja9W(O~#WL>-PkBkjfHA6B3sml{(i+>=#!J73KMdMfQ@b2j8f#;`h5 zPWNA(Q1LI`WL_{=N9?9dEHm&?Du$cz_eA$yIU{pdaxg6X4mjvz<16LI!okc+Lcx90 zGLNcHU4p~7!->b#>bcZhR!9-TLGA&&DfKNEX5WrR8dC8+aO8N+um4hnBy)%RpOS?7 zk#)}{&N*esk9yg)sNAyCrAlt8?zV?x88>F-zJFTMVvRcwFddPR*QKK$N2GZ0pW%k< z%F${}>|EF9zk_CPd^jSHSK5_#6g`fVmgU|x)!%bT@6XsYlzIiw444@+u-8whua8b9 z`%Ozt_TTG~%XJj^`N;^b5tB?+5lV;9Ok_<5;cMhXaxpz9ds zq=tB~UOHJz^vg0?Q!k1a(ZZ&IkP9{mG`MIPO%)PI*{7>TM@=N!6tbgUT7n|nPtfs6 zrx_0x94Hje|LWc=iKdzyJoommfL9a;604K;d_K5`2$F$*1+4=;k$`qXv_Br{HEs?_ z=;8pAc(sZl(rAjr47&Dxfah0;d_geTs&MKdMR=*OCHHi0Pyo6 z+ot|D*FjsZo&ypE)b&&d)@UR2BQyz@fe`p|UjR~`$j|2%F#e)2&RizTFhB&!-@4)i ztBGQ5u6t8rU4*!tPs{y@Y){W+@KVSW%pIh@U?ZE}zgVwSFSz{}YfS?O?YRQgV&Nv z6-RnXEeJ=?={fjupWV*&UK;#_SA0OCz@yW5uVRR0H)w`E0ZzPbcH1aha~Z(A%=xs) zh;jB-4nAVn!x`?%8KeMUDks1TOj)Urd9~RgJ5cSdjDa-^8MAwN6Rr6+tnQyg`usmV{8cINd`%T^I9?jrbVk5Q zQ@yrZZ(jzOE|7aL1XA_5{g=M6BTkV)fYenSH$rN!Ai3wm9b(an7+PRel!2k#b3TF{te(F5 zh<&P_phEDuYvO)lq7lH5)o?X`6pbYX8epRx?&fX=`i6WBN++ak&&&w^qfA1c!0o08 zewVw0dysuE5e|0j5CCibC7;#ji=JNiH!U#g_HeU};tH z02?@{R&TC63R9mZq9t~vi=y5Tz+zjAqkQr1uEWta;9L#rlO!gP+v<~Utv@rX2tcyU zCOK>CGQ_nOZO>=zCY1<=6PRZ_ZViYCr;z+E{zC(GDS&y>|h|` z?I4K`WvNKWQ!=vTtzqRa7?>Q(qxl)w{#)`*qsE~E8KWK#1oPqMQSogJgWg?6tHs>C ziBympq?szXx3oJyYor^mLUlI(kb}B@#i8n(--AR&x87>3YB`5Db%sPBW4C0Cs>{Q~iancn9D; zziFV7-$7{iAk_;{5lr= z`rIYbzhvmEWALm^vBdH*U*Db=SMTp`?r^*d4ku@>gR{Pj9Xa=TJu{*sk!YK<~}kQ++B=3Y-@Y2pdI@N*MwIh z$222GYFq?hvCH|eT{3_1Um5{kU~IqKER-<|#fFN%yfV&2OH4>_)i`S8-w^M2T)$SC zr6jjKopBiM1@D`5#j|bmhsZ#=z!`NS!n+vF5ME*$(X=zzfXI>tBZMUUaf#GIEq`LK z$WapE46Oa#CO{+$YT;38yr-?#{WlcQDdW1gkeD$n4^7FL-vY*A}|b z7!VGq83Yhy4HG2J)g`ik^Pm0*m@D2H#DH^ALq>aL=$$iKr&At)9OE7mkJnv}g!~I^ zrvL4YnJh`5VE?9&1cQe7m{Qt5+Ulonc0;iKznD>nwQJWHo$>?8=0+s%vU7yuDzun? zm24FJAo8=j;)M8qp@wT|^)N6>ErCR#Nr*BO^Ch-1RuC@*y2cq}TJ}Y+>Zu#Fq6jhgDMSL>?{F|6 zD^u#!pL>BMUBA?Kn@0#Ko-)Ak<;2K)XF@D(0Z=w=UWT~mOuS1u%5XjZ9=PM*_covInAQfA#_GF%I`=#ds zjZg7)OryrGz#q>cBiuvZe30)Bs!Q{n4aM!K8IgN1-=jE2TtcERAP0u#nvu0pJew>k zOhuvsHq=6pgG{2<>M#P{mMh$YZH_!4V#M`=7h4Vf5J{q&O2v*$C^t1y=gylO_8 zVSH{!f%VDJO*(HGUu%5;xvS9bnc7N2V^(~%Z=kDG2I3Yu6v7NAlaEN=O4X6kn^4aql(=*^?P?_7et5rXmTDE{hIS6^Rz=n2m? zn~N%kv9V#hRb}x}>T(`+;f>kP2QShqCg{>=Ypsb-Xa}0jkb26E@o54ewhX0nkxain za%P6AuVIu8>9-p%z+D^I`#f|(XB#OC&n%z>+v$-a4CQ{rPpbeau)$GrkIovf8iQCw zGPMrR^z9e~Liq6P=FF~^r~(oI!(4L0wcDGi4unqC)aW-LqVu_#m>saP8Fz@Shx{T7x*(QM^8 z!yr?2GugMC9nhfU`Bm35Xdu;jE~;EqIvsYqE>08e0R4p=#5l^y)2S7af;M@grKsYa zf|{GBuz`^i3772wIji0(coQfWdA{A4_P?+9tL&765tXnj zW%gT*06j2vQc93oY91Jp%%>~xSzPU+mk&PI}WM{!E1nT-DrM)@*0w%iRPL zQIU7p3jXM?UlmA?x9iz9vCOKM|B@jd=x}K!-@Z*3&UzZnM)*JjJf~BoIs0SY+!x_r zut@Zws+DW-daJwDa&(@$c8)LQUYdX$rJxMz_@4+rBL+H~IiivIL z(18x|*+Io{E(W%M-Y(*Oh8%5LOt=oRVidjn*qR z50Vi@YOzM_a}X2#o8TOKTVY;W2N{1gTp6vVwOgaHTv0Lbw1&_NVV2!^j##H z-*X||0b=-Y7OX*`W2^_Zg2=0JJrYEHFspOyX=bkV+k(l-hrKue{(xUE)wOV_1HG#b zOGik&Ar4FIVWa77(l(8%6tX~_m zt}Iij1Lf!@81zFY8eLV)-!w9Ql*`~EL<_T9oC%5vF@baKj{(_6C5h_BbCxERf%;Bh zE^{jIXjGBio&NC)q4f}yPdlV%am6FLmt-^gWn3gYgX$egJlwt3sT61RD%LENV72-p znZxh0*)EZo#OM-_e;8b!Bnl%H!2=>@nTT&M$Bo@~B_}6>I7OuifZ=o75jPw8U);HKrA;Af!^6 z^Zb$6X$HW3GCL+g2@n;=fFDHH%EvSGJXrjS1Y|OsB2W#St@GjXZGV$|hva zC~YO)!z?~Ay;TIgFaPL}*5=0!*C8F3v~PG9Ey$JL*Lz+QX(M`9q}vC8eK|*pfDq&V zK3zXeT0u~g8Kf!n4auS1f9=s&3C39P&*urAbz^gI=8aFdloo^j^|>*$Fbe%72GwG_ ze63c!fki%gfqh(yi~So8%=w7;i1C;U4%#yhg400)0bGB8KMHJxE5*9_omqC`XW(?R zRz%q{;eX8Og=SR6tgV*!sr^}o{K+c&CxpgoTP2{fUt~v$L@LRJH_rUh+_*YA^`lJq zhRMQ8y9*Ob+JrU9s~G<}5w570H)vuIjySH6@@*oedoak7aW3u9lcAO?WGhad4;Oi# z=|aF%d6AfC_;hFEvtYYJPx@nJ^2(_oR86a2L z0fjvn@>p)sqOqlHKSNHdD5W8t^IM3XQ_WDpbrCOdY|3nb%%URwtTBn_d6NIJnV zNRve>MfEz0`90AEi9$zx$Hv-?f?yWAFfPoIoTlUqei!`>-QM z;1~Hay4P> zSp$pcmL+NKyul(dFu!JXF)nJ8fA*)nk}#)TIqmae%3Q<(OP+$1DLszo+iG16wNwEw?BSesW!bAzBvKr6l#acG0&TSw=x+wcrM&`Mel-6>5Wa{N8 ziRxIVxx~6ySUHy2dzK`7?8sG_fs!Lb*jbZEwfWu6eNH^@Ez6*&`T<-jtjq+)T!8hZ zqe6OqQ}J${edtMSiq)Mc6dTAqIHSXFOc)~CyMUsUlEsdhw(q)$GH&z$7wLAkpmB4& zP`~Fy`WzH{xSi#>y)7jE)*ke(bw*2FHD!62~+7EgR26Il(7Zsu%~{ghnrf zvS9Xc9k9<%2~16CY9;LtsHQf&Fe$b$Ek2Cj=N3xU0+crNo&-zsNPai^dAm(?SNIpN zSB)D^oBmK7ll>8R%q6&x)MxAW%W*H%fp9tZ8zj7$RHWr#5A*Nsp)3-N4PNLh_UdWJ zJe>oxOmMa*AyzQV$Ag{+QjA-Ms+7jcl~=HHfhx|`FP!7p&#iwNE0uY{l;}pO;fn@a zf-ZdLKa(b^S>5rt$)rQ`79F^J0t>_NCJIcaX+Co}e@+cy6WZ;27Xs^S=lcI{Mgv*@ zUngJGeVjpq&a{f{a31F-Wjb8`SWcmZsz+|0ae ztULftE*@r1AQwA;o0F9pG#-r;VDSGtLk)rDuc3dO0RNq*2IS!6WdpD%t4nAzgKnM{ ziY5*g09s}iOB*W|M++|_Hz!wj3v*^?b4xme|47L=S~`i_fB=G2LEu&YtE_BdWufTd zULve_?j?_Vn*cR-H6&i|^h z{RQ@~AR7o6*FQYKUmgew+rLoQH~>J-|LJjofc;O88wBisdLZZQ!2b&mWQ6_S=-5H- z{$u2?1CS6K>;D8nc?C7af3w04N-XC;iTw+c9h3*|e;u%c^1$`C5kchu@jy_x|AoR1 z%ENyG`bUok6gls|lAtC8P2>Bo9w;83|5OfSgaZT&l#Bmng#!eP?SDK_#z6f4Qv(6x z{WqDQmI8ABL;ZCJ>IAm`>k|<5HxK^;`+EiaU)!krfFc0?!}_bn$qK^!uLDj{vwP&t7A zD-ahb4{ZNh`P;Ssb^s_A;D6%ztH%8|5C0b7Z$tkZD#!%)e_a2)=#*WZ%+xI0LH8OK z(1b=%OIUcjgKjB;g8%P_Vc^&K(+P|+su9nxSd$t%ru5P87C=JDW)V?{HvrB6M1pne z0-c_-_4>>T62}MacKoN49OK{H+c|x?*)+X+1D~gqN$>6--%7dG6~&Acp1zn7<~#J_ zU)3!}L>{c6KCl{gcl9f*uGkI>fL0ZJgUs@m4Q_-LhTRf10a3)RM#&bAFZUvyS@He{dh_Te`hrw%?UKtL_gKvd#eDqq6k|S zVf66&l4E=MSW2v`SOm~oH1@FDN;Zgw82?N}=4>cF^;4hIRc2n*f%Jlh_MRd!Aod{L##gV)bzYuPnbZ+Nx_y zxf!_^w%T(WbMUelUrySOa4RDhx6p)=8vp&ok4R=+otz{P#XY{=aGnX^!R-#SNWg5y z+2F}+p&hC@usW1~->F+v z5zBfudaj~1d=X-h?+p#HAD-2XqnVZl09QDV7%y!xti5HVvsYnf1p&ZTbc!OYy9oCXzHZ7U^XeG5h&xY{` zI%~0^bWRch?cCosoIddM;jt3p3I&^#q0ZiIHN96ujDJSI4N>SzTft?;g-0q3&*OHz zqg&&*4kAalP&holgr1PI_;v&c$IDpeNAKJ#czw9MIjRadm8{mjiBE|-I1b9h0$m_Ai|PEpRB=dgnajWpj9);1RCD0aua3PP zBOv~2!^jA2Twk=~m3Lcu!s+02LY)Q(Nz+iBLuL8q`2jZrz(t(luwDm!8TctG`@LGx zRFXObrP#m}rd)|qZ7bcEWVVOnoHo7gQZE{&i$5wSzEklq0@2jXLv9=H>`stOw9vEA zuq!A>w<9<*kA{$=ue77H@QTvW_BcpkjU`!)n_?}lI+&9NIk6T!pA+E{+cKtcHST%a zQW6`lTvs}r$k(2Agt-f*#-~97n0pCR?koOQOk_%7c!gt_XcJKol?_Dt3Yr}UT_@&W zeik%(78Gwysxj=gQ9=m1^U=9~(d|l)JNhgdFM4&Rl_=)#m%s!blNipNHl+OoaN;Anum@wB>&*RGKc!M@C38*GM(dPz=1y2tfjN z$>>`rbi-+@tqMXk^y0t;@ybp0#RSP=T`;$kkQrMgXrb@Bbqwe>7T`n&BtbC0!v)!; zLpgi?Va_MH4)lu|-r7r+^_JP~|BXu*y@7TCk+;(yTLk;QmwUttq5rcM3kR5c^6GZc z#yjxw+P}h6yBiLU%aO?1z&)vg#ldW>xyi`&v_iqMe|G(q*s4dT!E)yDU~^yrX4~V& z$d;wvuRW=Ssg7tH=RAZsPkm)TxaxsvYotFMY~a}^_-rkJsT`kFl0V_}B{kA)XxBSf zXWhG@jwOp(OpW_it0Q1}vcy3K&)JP*G(YjrO7m>lRd3*Iu>;u#E;gGRR@UX zB~qnWQm6~Y@zXG^GpS~xf0;mi9lDkM2(uHO5`L{<`ij;n8Age zxn;k?E2W*GiRf}EuEA>z6=D>T(EC6J7|+}wRMz)6gX49!&%CGUw{^`JuOK^ zZ3GVqm4KWk#eG6xOi>@0kWi9{>X8`Ig(nL!KFc+h{>tUOckh;$uULb}kWc+1oO7a^ z;8UG1ODz`OoVZGa6HE-oqccR`Ny-=zOP63U7qJIEM8224b)}7Rc%@0`8>!D;S<|lH z9Aw1Q!teW$iE33ARR z`Uc;25a6by?n~YIB`EK{PXrsa*U7VByw|D1EH{%QF?Y>#_g%Brark{~b17NqzHc&i zMVbIz#yev)@{7V9^klaA9Var1Xx>8k==cb$%`dDA-UN0**xH7dHc9{7QLVV2i#Vh$ zo@(E1@J2t-=$U%zLK(PeH`2{zf7-S22lq_Rvzfj|3X|l(-oy|*Ld4>GSy5bs*6Z6#S)!7Qx2W^6zvg=6m zRFP5>l)VJ+fh&n)K-a=-=oee@Ax#Vvskp$4LQn9>ZQ_)SLo`^IhCqWuhe`V?TZW)P zmJGnno2!i1fu>mw==ai*iC9}oYdT>t)^HD*!y|_9iRouma$=DSeZ^7`xkRQYK9p@& z>=N5_Rdr&<2iApCZes`4&;Sm75r}y6#WbD3G~D=UsH%cLB8x!>A65y$VzRqEDRvM7 zVf2ORl|h3_TR2TVuR8(^vEJL(?R2{FlL>=M^!KLG)*WS|S_tXX;5Dte@o`#m@9BhQ zS|YrUxiacGY`AUMlfCiiZaRt@!my1?#83c$IcsKBYV|n{r4hR>1yLXWWV!wo2jAQNJCS7-4rJkf6*0wo|9$u<5citUIA5 zE_tk87xLAo;w|%03$6CWrG#@XpQ>j`obcahRI_~2jVJ8M5-npA4fBveGFGlTFzQVT zam=IX)83{?jA#9ZOAJ09gkABogsa~Kc3{4Ji%A~>8sqtO#mnuR&r;|<_kP3ueyJ%% zy*t`p%1+1y{e_%Sm8ThgMn)QEKHxwjkhzA-^3@5cqhmHQ;G0iT(Z&R49?{|fgwSNV zLfC%9GytwoMMuY)i!uz2WuQ`|0UP~~bgRymMkQL~GV|3B=1{#*fnmSFu~Y8nxSY z@skLB#ua*s9$Mx;eVL1-N*QsSY_4cP*?MCH23R%BZ<;R0h779D!)g^myVz;M>XLT$5a!YcAWwFb~=DcJ33`88KVE-kgNgd<9BLXlp&D~ z*EI(W!xESjU?y0R7r#R#a_ZB~@)O0tOx2CL3xuup0gnr(tq(QNGABd_MWn zv`d-*mWS69WJs5LS?y@?329M1k+h*&h~Q}X@^y26{=2$If)ZcZ)EIoV$e%f;m3u!4 zEaU^0?F^^0-i+$k(ITnM#$DYDE7xiH5E)X@^RNh01Va0Zl>zIP=$jDN@b~JlRi8x{zzZ}xm3z2RgFWu8(jL|{|&th>x-%>gANSNwx^ydRI zBbG6rz6?}D3Ckn@kohxEh{b_D*b&LfxY6sQedrdFB!jL_;-`jYf6R)rivrCuk=cKs zg+!2`I?NIxFDtzmmqDPICwY!apeT=wTN|v4?ZUyf-vYxyeV`@`RI2DsBJ1RIIc3Opj)g&GSLB^ zV0A1!^*kQgSdG0AKq@j~Q8;tx69$BtfDYe;+rpS$n=n|FeuK48AtBb);7y|speZRMj+`f1@AA=d=#7EEo}d?<3eGH1vjb@XY|Wf=2{lPLN_y>u}8KLYE2&nFeO|qv5=s}WVj>saAgQv;%#65hhG^RQo>ddaE z%3q`QBz4$hSc} z;T9R<#SZdL`-D!DiDM4?8QfBC#yq(lU1od=cG!|Vm?{p8?cSrT_>DJAW>bX6H43XF z&N)(+;;^q4;aJuS6=6v+Sbx(kuNgGQm~=~pQSQh)FhD=X^n^Ad>e(8Lq0;WSU0OWQ zD1c~veAt2a-iDAEfRj4@<20!ckPzmPD-tkH5{^HV{DkYm{pNYQNC`Kt1?elbZFdT3q-Y@zG_zJiEm5I$r!}6u!RH z(yT7ENG6{okdPsYV|n-*Gt&px{0^h^3iJhHaJoe zt~^EwRLwmg7`z9C-dCizh#)wHn2o~ae)|0FKy{<`7hPHhtC5mqJTH*0QtP;+;8;VG z7UHq@bYGmneCfbf^t}?a+c=DcZ}G+yr<|-3A{`dy4h-21z;OQG=a??ycWU4QUi6@ak#wV~*8EBwG@}D2maBL+h zr=4PFjWy|ob^s>R9ZnsHYy-r=xX}!Y559XmIuT))@RU@5?|dR?#R57ZZ)@IG!R@l7 zoR_<&j*Pg2>CAU4uL~(&F+`6);8Grun2|igS-ex!reGRlT#SIzZ|n}00=&+mBLnwC zhuFkdg)MG<_v1rg4?#q8;pVUZl~hQF#uQw9KM8rX4>1b$rktGMK)tBE=_+Fb4vfRD zUQ4$6Y3A=^p{Qe9M$E9MO8b;S-b7Wu-{wcKJ^qzt&;L zSX(j{8aX0Z2xmle4IaAwSaC4s4>9pt}^$4o$ED>f*Iq3zrC5#gJmSX?nQ|64hG_F)SIFHdb z{Rwfb=b$X)?6EuW^udFHC!2OtP#s6WT1^?wN_2+r`D z6bFvcemp2UrAD){DnHV(Ps}+^0NXm>`?XJl{EHNZD5|R5lVDbL7Q=uQG%Y@ z_YVmoj3>5-c_}s43`sgZgfMk&45GAa49eCQXPN+H#v(@D1&Rz|G^L?2GOk!e15DVN zaUU|8)u*Cd;4_nP$%+uLO0OuR$9>L9Z=bdK4Iwz7lfJWxyrB`ro367BN$L9Hq%1aF ztYT2=#AX=O`6ih&AwV41eh1)(dp0dqikxCK1Z88GrT~Rfzm7s!rl?pevAEV8^vFiZ zjP-fB;3rhQp_qEPa5UjI7kRIEnzC>mo`JL*=fhG1n> zeO#)==p{l#l!*JG8V09f@FISKI=oSOgLDu^N{>bMY8JF)#&MX+virT`{eUs{!1+VV zcMmolk_3LI2{r3N>oZ1OlcsykYNU&-_^?_nzn8D#>c<_g*WCM_DLY>Yi}uo>ufZu> za(?kPxiYy9&_p&Dem0P7n+ZST=Su^I>L+C!v|p4y$!l}6FA7rNOXsXqlay*b!jqa| zu+c{A?obU_EN@{)(>?6PK>Gno-o2(B8?Abh;89yNTiJqj8&+B_4(gT@Oh545y1E55 zRqe&B-3}}HFRGRtzhgt;9at@LhHpdj3E8DY*EnO6Ug`>(i0-r7_8^MjCXTAo962(K zH5tB60bY(nRUB+Id?RcnkSR|@5-cJh2A86snpsPVm_{n2O$csc1aN2Ty^2*i~^ zwavI!M+oR(D2Hz(o_umq2QC!f;(Cz4M;j0bCkv8GlF)z5f0ei1xHZG{&A*=H87g67 zkq>>`kN0`Pg0Aa{l~~5#-3TQ*efo;1D(czP(+r=#-1;PMjsLB#+8mw{bB1q-5|cn( z3ip+Px+R~+guc~YXdyJu>Tv14L!Z-*Hj%6F?C*BH&%~h70W|k5Jobd~Dt(HS$%W>r zAmwqiDt7(nT3TAic`fda2@Ei61O$Z?e8nI`e{7f$DGaO}br+%E7NLCTU>|6>mIaex znrJ^AYu#i+`W-XpVW=w9$V});4=S4502S$jBV(2tpDA)pkSeIk&W!u)mWh$i(P$DhLZjR(ku22V*Q%P1N1Xk3cedNC*I)>#Ov(c&18x#I?!I^seBFX8D zHOtK&e13%p1PZncvdCKUsG1W-?|av(jF%V%$LI9tC&bMRAvjO!&AKdL57mr(VlZd# zf*|XW{B|yzU1Z5a6vV09vwtbvmt~H1R9O*Y%YWbT%KfE0_H#2cGwnSlkJeMnyZF^& zU=bR599|H&nVbC^L~^=cE$3IS+~@Cw623!|lS%7dJE!eUmsRqA$o{Mfv zy{@pN4HgSrE_errk=cPxQNeCszJzrC3J4qwST!}`H^_RHBQ0qRTzN~0Nha_;1D#`A z2obdL=!(BAtno&|#~x8t_U{19fHRiSA$@P($f+7l(emX8oc1!iLpvLYIQ}+dQjr4b z@m}_I$h$Zv#2RA?HlArgR@wU%(csUkH);ip0q=$2sHJj6vFQsU1l}0|ZHuOT#sy$5 z3cjX=x$Ifv~6X#q}Q`W zc*s=xj#N5FWW~@pK>z7xYFXb^<=!-4sRf#AxVq;}(#ywU7$}&|3^dF)v z8wMqKs(IZXNQ zKl?N1gq@n9ORuzehIKoss)4U_i!@MNUf`{N-Xs{CSw6c6*RiYgj0NkfU%_DsAoIh3ir@ zrROs&i9O_8qUD20WpZ0%-gvtT_G^RFCQMUFCBR7FPRO0mmN~ksGY7;#{Xt0|A?0N1 zt@89zx4gk)M@eXazh3%&xF;inC9^+vC`x;VcSq7WmdiZydz0=$^c9!eAnxOPYiUIh zS>VcMW@*38^>d2wwf-Y9+nsF}*vn?V-k$^fm~A|RAuOEkG8iOlN%MaSbf;63;jHRAmm|6#z#DuDW+zj|%)x+Djfm7Di^~mjD zqul#nXiI$tP7lwmS<>LLsqq3!q?`%zIPDXT*-3X|-D7@C71fqHe^fT%&Eld6-Q{OL zfAboPKVf0A%q7~e6p(&UM_G^RW5iaFy}OF-?Qi0dZCv8fQyUNXnhcyWN7>`lvG7>k(TuFrDpH{fIHh7F!moi_- zC+l<$3e8g#GF1dS)=@t`(=!@kXOU(zsFT+gkR&&qtN#I8JgSd@$!|XPS9@Ja z!yomo!pr^@hTEs8kLUf&p(J-MOrw zd%KwLLt-!bdL`3$?&uU zjxsm4PcuHOc2M^Tp@kN9Qi^)CWjr&73HsN%D;RtSefFrISf{S{GHd! z5#6!5-TiK18OF_`VmDv|@29FMN@yxkZy5I4fOGZwH-~GmflpH>aHIjwMm~3qCP(#ljVgMt=lH=^;e#38zD?k<(MkC2d)p!P>^gTD>^I z%j$v{m)Zu^CFX`!?^*6redLofzh=Auhgc#c%>n5I9OHCB%R-e*vSOV$!)B=|H)rid zMrwhxuPSTQ7GB8Ti%re^wFmjEv$G`uA`AG0@1_q7!`BPo(+*5nkIN7oD8 z-qsi;Wx|IR?!;lJi1v-Wm&aGAAWi$gO>_QK2WrTh2cZx4h%rI*yB3&zoCGS=Z_}^| z+Z9X14ZC?Cz zp@)cuazEfv970xASnuCUHijr7$cOHL%do9s2cb0 z$=q;%3kXKue4jNXsC|031YXFniR?YCx=#rX=Lz=NXM1tSl0A}q0r%pX;pGS-6Z`WU zWW?#*Yn_pL?kOmuZK-jNBewYdMw$<24P#P)1D1?ZWSH3Fq9mW`l48fO!E1o^o7P4= zlK*`H_s9Nx4~fT0(b)!)hABsB|GM^nkcqs*!7X*X?4euG}7Z!(I+D4&pT(tTC4 z#vOJq;|u?wJm#LHs_+CJTTX6M4n!N!s3l^wX8&UOWOt7|?i)jKZOReFxghK^?%d!B zgdf}4pI>999{d@KtaARt38WV?(p0;`EE&qYHJbIc!5Wuhc^vTweptI3Z!qK96be54 z?haqjI~M^=jRvpvyLM~rqLh`Gix&ZrG%Xmcs3@Mqn{bZ@0;?S^MQGCTU5P;)U`g$p z-}fYnVYXIV_^9YH>Pe5G$fR*ERP)aSP*@DpR3a;`RBf>`ti=L<|BBQa$b*Y`X?Ej@ zED@MSrknoVGSMjC2{UBs$$Umyt2KxVC|W1DNJ|Rpg@fP2H*Ae6!YZuBBy$VC0f>nA%B4sJ}jC3a6?8qMM`&2I3H(8MY|;$+Y;W8v=@8qbMG z_qKu5N~yggJm+m!hblp-XbbZcCytjoqOyWeLn8U|LeYw96UnaeH1g`w=(iL~JPos5 z4(h=kZrQa(HCSu`Ooy=*E2?Noky_l?SjjOIVm&;%Z*d_y%UP5JxJeevc)0P#vxNvS z$RhGgJCUwWeL;-5V^|@gN;bvcrZ7fw#we3PFP1^4Qc%OUg!R}~qf~e?*tB4IcFx!^cCl2d3S+$LPh%}GmPH=Ap zFeUZ8RZU?S2EJ@u!R($xhsU+N*|}vKMm@*3#O6C;SZPhN))0DIa}Bf*6_MK~g@Zq| zs=RQQKjVfevtlZ0J352Dx8g~h$snGLFXEIkeyT>CG3BB-*gkpYIs&+&Y$CR|Hb%^BaBR8f|wEND%D=^nnqE@nTgtFNq8pT@-*?}BHQ z!&k^N16avtIH2#VwptOD0CPGWT&lH+Gk#)X_AqQTWW<0jW{MiA%^8C_Fy5I^Gr}Fr zP%xACNqW`%Bv$3O${{Jx_0M8XV`X3#{=oKeRY+=(*{K^dhJ!S8iZ3%K4I^mLs{p+RQ+h z601Y$aL1#|U$t=2t;JIP2xoLWmzFMo|(c`Rttq9ypE6oo}G;-X+c%hz94$ErM#+cgg55iD1R z*LpaxYKwe%X_>EkeEIVOSX5MK)2!GHU6Q$y!HQ&$TL)Ycim-1E7UuFc*-**fvLPK_ z7nAa3*{3=m2VaK_wuzzSyU&z4N-F$N`Ge@}e1r3C=0{cVj4fMB`koggzE7@^6F{s8Iy@ML&2}p!rNbT| z_S0fj7{-El@3tf~&UK!f9aj}LJEDGi(bi>AL=wYuM+64K0=(WmNo7O%O*52?p)lt$ zNyQEEu$!qfHiJ~8sB(0>=ho@6+QwWQ72loFjy*)x;DKJr+2yB=fjgZl*UD^S3sQ@~ zQxrrAqtjwdTLlT5|L+VUaOyD=OM$G_Im<@8Mk0L39+uwDudJRJUopQOcF~QL|B5?% zP9E%f+j&gZk$<`oWHWV|nqj^Y=GilQJh%kD^p!BE#NWHeJp);K*8r4+4DRs}Am7ZTElh4$XSsTjUG9BvX*V$!-*{2N0) zxrJiNJ)GW_9sT~ej_w?Q7N9)-MVKhx2&eVs7}KgK#|=<5*s_pVfp`Gx3umo&d8?=f z-8PlHKX==vcR63)M%Q%f+!>x>&?lgno#wCgcK%UrqukfRFSLlQqkD%zX~UiN*(YOE zs$WQ7`nWuNm5gR&-KaxATH&qZKAm2k&0Zw_* zv}VZ2K#9gu`6tvS)h+m~dBtQbfzSh2bm-|vjv!xSY3Loz#DQ%UDhsC((-56mFDPI9 zKxGU|9_*+m1ro(H)LZ41%7_>NFIiJm?yeUKv?v7Cbn9ci=pLRBjL$XBhyXIO&I@g% zUJ7>%41ZnM%6F@Vx_Pm9mPnV19e@l_Jqb4;02*~ylqc&+?A7FKY zXWrB9pRK)Sts{S|4xoref#Kq&maU%qFUWd09=c)P4+?i(hTmqWHT4hGmyx-I{36}P z;^OcZL^uBe_^G{6My!R=+~TZ*cI183ftZZKf8H0m!J6Re7W$g zKsD_H7Ps)Kv-aQOtHZt3FwAXd+9{jGF50&5c2xqOW-(d?kq?I|UNd{nyc}RmHMG5* z*te?ERj`flf^v? zkvZO7M8Zj!i5?>gQ9Hry8u9;-_l{AveM|OW+O}@urf=G|ZQHh;dDFISi)9hoHfqaXN*n-cJ%*BHCS^BBA3vT09>I4@=oG z{MahS9YUq1Yl2}d=3XC3N2i?C$He!YYSUbEgBgOE2dGY0S7`y#;fq4M22J{}`LC!{ z)W5Hc@>K?aN7uN}Mz$J4d;$6ry=QY(P1G%WGc!>dJg(SK`O%-jF0UWXJ5pq9s9OKj z0}ZbFXx@-k6m{qP;{J^I9X0E)rKSYOwkJIMrC^f~X>mr65-4;2^FHEOE9mor3!KE^ zW-V8Q|w=HCb|pBKtH2*hNgs$f%3cl%>&&OvAr?12?1uWf*J!_eV5 z$u@-dlTVq|!b$BW98Wstc#vfHi{Q8(_rtG-R@qTd^;|s$WB(T6Ib-tUF%UH3s<~#l zC$Bv?g_VM`$jiHH1HtpHnRz-yrnax4mv$O2u1A84mr+X^Xll&0f_9=r;iK#Z^TAxcec zGSA2I!0Z_aTq+!Wajhd;DewwT$OEW>*whB~7Xm%Rsk@$0RE?hTPmByg$^wuoWp7c{ z_D*}ZB{@27;{yoj+G$T)(!0C^VH7lQwiz&g3^tVeonibGu^+C;{;Y(Q%wR(=1Yg_o z{H!()D|+DC^rw!@Yjsd6_-F9B;lEubp#nzs_FX z&1m7R)Vw_ky|~Y6sddu7zgMhRkg4u&!m7)lqHgNGSV24VG87)TG|h31*_f1h+*TzQ zWy@@f?>C;f=->A~-u=n!hmziIViNRE#+n{9JUy@Pc{yP)T~wf*c=y#bwrWb%j>e6~ zBXoSS`1$HBqzClMIVnC86y|e7GMH$fy zzdmT6RcR&o=ycSyx{1sLbJm=St9UA~2v8tTIwS9Cx#MTLa?nRKf&53rmWngXJj8s- zpbs#DsYd(l^LRh{n4?IJ^7X(WOG$K}r81Kfu5-Ap>Cp=Ksee_BtcF7FRXwyDeB3f* zz{};>eRjB#87@5z%*cjPi9U{}ui#1l249QdPw3$}t6(C|>`6irV~lgF!CnshS+FGPMiCuDB-?R5vDNf3%*TC!9KIspW*h$OyXgHJ!e|V(}}gPpOGF z=RyETW@13ddHO@Z5H)2^z&0EfT-Nc4RpO(PS!(fr?}Bv%f{Bs`pcaUhW>4I;l+j1u z**$Yg15XT11Ef;agOJNUDGK`@u92^INdX7i+-*eozCv66GUf+~JHzD+nCdElt>OrC z_sV)8ko%n`^lawrwO#ajndL5iQWU2ejjz5jZ;}=FOTJg?A<}bPs$u5CmixMh`tT-Q zeD^UJ!4Gt&KN!bFh8T$cycA3KUg{_7_V|{Z>*WMT=c+VF9c@4a*g6h1H`*i17cls# z+t5E%a{pC6`InaAU**n!tK<=hWfigqU-90#+vn-D3aHb%KhHBfV!5K4L(E+Yx)KteG2}gzB9`;Fx5;W zQtG{|BK=DBmI9HL0?XJ;O6VWa1QLzP-BJ%F76E=p(g-B&W&Ah@z8EA!81CPk+{&g| zko+1ja>pSfL@+I}%DuvoSAk7L^=NW>sfgrc6=;HBb<#1?&#B<#$pM4FoQua0X(JH+ zbZi{-kOs9tTV&mIxP-$X;H`ix&xKNqY3yJFW%1T_VT=mf$XKgj?LQ>0O1b8zIv1P$nbrG&Bhf-^$kfQWCK z0fs;>grm)V>*pU8Bkus=kMNg^1tTVqBHak2Vo$&u`OhTLbSDQDj383~)bS;R_Qwxq zit6zI-6Vi*EKR_tz8w#(wG+%r^;g$J3~M25ggxw`OXxo11d;Gt65>qy$&kH_^a6ac z$4&1Ii=00UMHj(MpFEj@NUZOjYQC!@NDI+s5VbPwR;gV2hfmXtHZK=o7A>eijRt>Q z#d4yjCKf0>C`A2=c64>-?nvL0a?poHMx4%@%3FOu-d!0j&Kr$JJHq?tjf9-af#b^f zXS+j-b+W|`HwE`Z7<4SEf}N(alS4;$ z8V2Ic@SAisuhD`m9=u4IPVFQ8cj~rbk-hxdlDjzb07`x6L|U++kp%hVofD8$E}zJqBZz4B>%P5x%!Yj9ORJUIfKLndt5 z)%{jtendtmn>aaqp&|W<)Ja@mtj6MXWcPM@e}8$#@bN~!-yL|y+tV2od4>a!PR$jg z;_k*P)a!$lV-MghP7s9f2bI7;PwGH9V^0}B)s(KAsw)k8VuZJ>rvu@1?TWBG85}KG z&a8xylBb<*+qmX7UO4jPrtp=ONm3beQ$CvOk;OtS1=qWeO)5Sj$a$|_GmB2}XaC4S9xhCdGzjk_T8>$yRq5-rMe8>zIgxrfp#3Fx4#>$gk1`W;V0F1n(k~d&+mGRd^nkF-bJh+*CpsW8p zwrZ&xz^rHOI3S~CSzEH#=fl+(L{-XfX!^Wkiln=jlSwBsxLAS5N;+|gszv3+4nB4Z z-%h?61Eu7*X0XCbET_ta4JL79i&hI1_QlO{jrk&$yBHytlV-(>Dn7c+3b286%JAVm z>+CR~#x}vu7B7<1g~wE1PGKfGw#i(8{kGR_fhF zpcd*mMFXblu_?+}ogH@@S`_G8Vf{_J*HjbJvoQa5G42ML^5fxe#>&eKpd2k|TiXKUhfN6+HBUR^-S0D^; zActa6>0-dCzBp#?Jcr5slN+v)3$pihI)l&|7+xI;S@aey_y%{+8D8xo0-VnXsn?Nz zy-xnFD&c{?2#xsSI&@*uolK1wgfnUqf-=Y7H3c<69%GWj ziI@98i>;q|voB!d#JCOWLM7y>9(-k`!nIM=v(sIe5r;E?sjp3+<(jfLQ|4`l;5f~s zdNgnN?xn8oyH_2b8O!!yfHMr)I$&V2YSI~ZPWC9au_ZUN4c2Yd)! ziMAOFqf7N@?=}Zr?A}tNO8A|QbAPPZ`8+AA=J{Q5s`L3U{D$@7q`P_hQIF>f(T$R} z8OQt!;ibq5a)3WeX=8n)2!n_fa!SM~MeWd`NPvZr zdkjBZlbW9JGY;=+U75+l#U9!4#(Ts(N_A(Vc5L10f)&bn2fGuZbAzpXuXk3EAa!@7@$$Ut;jau&*(qE1rc&Ow5ON(nF?|CMlq z3rc^5PDr9Ii0C8(?#Ns|t&))qPfDfg!Ha(Yiv|UOHr(X*jFM6S_30sIftn!fAxgIH zWKS%u;zVR(z^bGao#Z&KIM_`Evt<^1g&QU%wR5)7}`hljSjA{ybjH< zBX)uVsD|^5wf$GAo5hxznX~Hp_NN&z?+rFNOHN+gM9Y`Ata0;Y;#11=2h`@~JQ!r? zQ%a7Q|1`F@s8(aAT3(t|oGAT`G@NY@pDgv5=#F2mzl^jf&ozdz6G0c9!FJTiXW$|s zBANFGSh&Kv%t9X1-mU!=f4*Ezz_V$GQg!I*gL21U>6XmHYK1mW!&yqnR@1{9rT16R z?rZ3DE?4r#dCR#U7rN7xuIv*Mn3Ij3>=PE4Q?bDO4|q8jZov&eL?=?g`5%aKF2aIE z`6le{|8~h7wPy2LYA=mf`Q2oK6(ORuNp!fRmTAE343jjM2>Jfr_ne%cud?zpTfdRO zrb~)un5y=)uS#0BspQwfD@EuGDzR zNzHFyp8rsU`LJva&V}()z%{9vT{mqw z=7f{QZ2Rnlqy5z--prN!DLgq#4f$5G$g@Ut$zmG_tGTmg7pu&rJF$^@DaAV7_D;aO z9L-#XXVtzDL};twvJ(F!JyPOSmgsc^pRHS5Q-@8OD~xbJVAcpP z_+qRtr-+^oSCxMq)sTmMocJLn6rj}k!$J2{3Vhk-bZ<9ZLv!&M*g&&ZMv>cRA?*Xr zVpGnXwL#7kN0YPoS>@nFB_FWK`nl;#E?5MzGD{p}=@bCowv~qb1H(>%;_U)70xaE38k_nF821O+5DK*aZ~Z06TLjs`9yvjw zgN+Ca$g4`GyUnzZA+@cQqo$=5lPj;KRsh-e-ypq?s(`+XxvD6aXFZxo$YcFaKo|&s zaH@daJI2N!BF}IN|Bzd%Os6Upg==;+aMA@eGJ?)6t&J{BKRw2h=BlkDeWsZC1I^!$i@d`&Qc| z2>}wTS*4oBUR2^-T&OJ`n!a?cY~gw)(YTg$_SIw{!r^wxFgsW_ip0Z8O>x z#P*arcKN2vQH0LpM<|BMU?g-I6e*ompo1c6L_p7 zcbotj5Ng^M$mypVLv08Z;IpvfgTYJ+j_I9gfnw^U1K<_NCfh6qK5WAUAV3IAWX+Vk8T;z+27n2VBXJt8btax zvn`k=h)OrCEi{a;2rpDnj|45?rk@$a?`s6qJif9Rv;z24{zU|AbqF^BK3P^2-~oZq z7=$?9muZp`j9>m`xdO6W_k@mEtq@xNuQ}k;_>5p5fL;NJDL`|2u*(3AzAH5xI1nPe zW7~qRs2Sks-D^AI&1l?kO}*$l*w+A*fjYhM5WK?>z%#)ni@NpH<%!5s>-`kP%ztW;aFKKn#E-BW zir8bQ@oLLd5oP1+5W~mu$R?1HpvZ{h2=T8-vx&Fxy79UR6w1SvSkJ4LrL<NhrZ?mZ2Xn$S$KII+kPDTU?vO-0?-sro4xi$hZq#&V{%p}d-PHMI)i#T>Ri z&SB4dxAYeZXs&S8@JzG~G#$zdN(HJjN<1}kHBeQn`qP@%zHi#Qg_eQWP>}haLEU80 z#$iKcDb<#9*M%2HnpVvQTAOs+)Fa&E&o`1cI&iLF*WeDgr)5WHvbF%P1;n%Co#x4# zh&^yp57Iw#V#QmTYLn!Xu#@@FFzDCl^Hdo2Gj==8IQFsBhSU){uC}@JN^6OG>SwRx zQcICX&iz*X8_QfPAI)zR@DlK`BH=>`#qmd2Q_$KW$<->cD%DMKPx@EpSH;}y+@ai& z+{m5Io#kFM&w3v~AI`5EcT3ktuS;(-Agmx2kjGF3Ai^NZ;M~ykkVv3TAbmZ6J#D}7 zXl8YYH0RNP_}>Mb134j?V6;$Q9WbaV87oN6-I|qLykB$8Dr)#~*KZ=FMcxHHb=-otch0aqEgSf#nvBJHBp)A}t+au#ic zZzZ~NJtjOBX@tFH9kw|ymm^oxscTwybvVf1!Y{YeK{crXXE|VrYI(6?Tvutnmi$wD z=0SgKH*8mics=fHOU+B=Wn=s?;G(1OvGC1h+Zn=TedDC{PBm3uO?zd!YFn%FVEi`k zwy90!yi-|E!%i38EZQ)-p1!2EL%iBtWTE)9;M5N*I_1^39-naaNfj8ly z=)vqNj@+&F`?HxOxGSgPH|sz7k)mW%@v;N~b7< z>xEB6Dn+IuULrQ!|J)B;k3}TU?FDv`e>OfP&Xi|+yS#On=#TVYTg;rL@`!Jibh5oJ zK3W|a9`Db&m|YbWhi#U3@;v%|rFDnQy57XzIW2OQc z!t*KWBZ*=Vfc^GuCL4fSq=Lgir3#a;S4SkHp5M)}mOX2hl>jY7D{roGpMuPper$Q- zo|^c=`F!#;@jT<&@&Vx08cr0gwFBUdV%5Py8k5dS&FC%I0EXg4F98zC89g`!@gA7{86$>Ch`VTEPq`pB&U;o|DeEi1%)!{K{QNLxd zU94PR|633PVNH|+hh2i8*O21bbydbKG=SN38VDGy*!UB*mYrcR2C^^eYJ9kn17>t+ z;FwHV^p(UB*zllbs9p5m=Ln2=mjZM#`y%;Vdf7;1lTm{19|ToM`y(HLUg9d9w73W3 zm;hyJos77ZfsJx|b3#2hA^rr^DB=RKIIj|11S3gzFoOZF(!aumItB2|dVuVJ!U%Q; zD#!$8}lV`|*;OyJmv{*`>kxs?heBd=q1~*1M zd3&}G>U&}hQs7-?z;dBP50b*G-@&bBGPS-cFdkqnVGLUm#g!@1Ww15ahsR!x%b#c> zUX7mie8n`#tYFPu(h}In?YR+{Kz-S?`?iuTk*koyld%9IclzWy%D>{bO0j-t~IP~&U?IrxdqO-AF>bf+*W{P;2khe5Cu&N`NK^&2Az7<;sW zH){!@BpdoJ7CfKIpHpbv);9t(yA6?QPny?5tQ=R@xsuZfkoIgLZECDxIDbQoxo}g~ zj7AK-nl484a6SnJnkZXX4i{vMP)GQ;yvHKJB7g;adDcV5!}c7^BGsZzh4dmd>urFl z3=VM=@`NDt3}8yl5`P9s+CfQ{Y2Z{7-jbBz^DtZ5ux&rfCRu)L^hpN4MrJ6&2*-#ARdQwkR=vYf}lrA zC!X5j$pD#6as0_vLoWnKGD4yy`Xv`pmdN5MTZvV=30HuJ^FRzN=At+>=mFq@7m8kH z`epg?98ZwrE?-&7r)crAY5&dRo0m1G)s@eT$zTt}0{a7=mPkVu-~tZ-WKS$4FBe3c zJrdM}0~k+u$hOLmsV04W7IZ0T3I{M{uu*WS_jJXY}hg5Mh)%N-N1Nq zYeyvSlwVJ{!fHpe>=xfhxRP#0^7I5l@RA|32axaZHX{QHqI?takmdF1x=P%~{=N0BH=7Z-6up*0O z>hfQv^Gr3>xhpdo1C?bs#M-3K3Okf#m1*T{l_8Wx#f8jw9*`TL2f z$G4N*kSIyAbDoe2tWPh}F52eqSogv85fB>WBM^puQ@t64fd|u_I(Kp3+Uz zp3_1knNu`4j}^WEE0RsOQFt`ivKiA&m=-!6z=$DN@_gi_>jr zZ5Z(CY5%0?$?4m5?~+OgNw`Sl9*~SVkEtjxDvK$PRYs{jsGX@fRD@T;t8Ufhu05}e zHjszlg71-EE|99k1_}_DBYtQDpsH@Dv(s;DD)cjNP?!o_TIQ;H)9QCOJr|g{n)WQ8+WL3?qo~k zW^z4^E0t2nma0o9Noh1#wL+Il#-tw8TGjk?baF^+Wo~|KQ)@14v2tiTs5-#C=$!p% z2OltK9YTs$j%LZK%6iEP=JI*6zaG6^y;?Z3x}dt=-20dw8V^3J8!KK*K1n}(OSEaq zF2!4_9=tN~aq#K%sr({*G;}6u%ldF+w`g^IojIun;sizm&43~T5&)tAq5(GpAqKI6 zbw{v7%RuzRcctwoHq;v~l@&L2JzkyGz#)W-Rv5yBae&r9ac0&e=A`ztc%DLRM4Syt z!hDXX!8|ir53i3v5y1@ylFKN0kbBCn%s&$G!4rrKjVg_LVOk__Bx>Z6X0Wzi|7=da zncGtt+LEdfiy^KjE+Z)-StRZhhmurJp67BH9T#GtA;u;Ok4u*~B@ZQUAQ!0nZETgX zkbWAcp0&!f=I*?64($MQXgI~jt>Q%Oav94gt}eg&S?{t=W)16Nifgjj=;q%Jut~Cs z+{xnu+@-Tks7mUZa2el8{T)z|8h8nJP0Oef;~;>BG=^mv1sPwCdnTeLHn5xtILklw z-~?vWXBhtpVwLb@USe&ceM;+>mZv_+x?=O$d*?H2u4jfHOV3n6PJ`oO1!7kr&(>l(BQPOTSK}d zHj;2p4x-#>k~C9Wti_X1D?Ag|@l3i`lSq|YnXL`Z4)*lU$&jO_>S|cGc$uUbrV-T9 z)TVP9NJ71$ct%C1P)k%wyi&eZ)_$Ko8Jp1YR!!_Yy)|E2;8>Jh3R!Zje9&mK$$V|y zb%I}-Qr&9yYsuB`3y*YQ(Jo0-Zg7a7C0QxDoIp%ZZ&bBZt2@|G-dUVHJy`&6!nD@- zbFtw3`FO_h?!tJ^xT@B2ccGG3ZG8o`vY=|9q|lJw+NS$d?Sb@E?{o3#r1ia97+qw0 z40yCX4P0_)94V_bZP|XE0zU(;_>o`gI_yr+~8uk8=t77Goi_b=5hH9-o~4(uUnJJdScsh@44f@ z6M70CqHfVPKes($ea#<>7NKd=wr<~bE<7n4T1c|kT$0v&YV&>--j2kxwzt+kjW};# zOq_OlQ$DS{Tzg;ha;d%Id@J29-f5HAA@1DmT>U5m4}v%UWO~s7Z_{dvegb)Pe8+jZ z+X!wCmhm2WJJ7OOslL}K$4%udJ9D_SxPZUxdUajg+a!%6?E^mOD*bA_D4m$Q@_zd2 zFt9z;y<#}2gZHWMtori23OA!!4ay6~Z69}IdoSB<_&oEnS>LMfl5&4Db?xC;ZJY3s z{;WIjdVcf3v*-4FW}(u$#`zcV*k4`P|I2vne~>HqdrSBKd#=DhS65z)l5AK{Pgi$% zf`S~%-bFqnBtl-dYpQ#od#HP?yGJ)QMN@Md17RCju@@kp&l2R>InocYzpVnA{_MoM z6Z6DlW77S~VPuU$iyb%@jv}0bxPcXu><&CcAs#wR90LPG!PoNOHVz1(4R{!h9Ecri zI15<6SYR2O_nZjg4MJ5)G=@QT0v2C`fQ=B*6l@P3UxO4s?q~U4+fS?(Uaj)`?{Z%BkVK{_bw~tFNyqa~PQOcub5>>F2Mnr@ZgmQXA{) zcJ_7K;===oe3_*Gi%0jDAizH!-M1#jcb?}vcDDRZ^#~dn*cg5%eEvP5^S93a|ADRr zs1?&=-G>hobj2AMy^;I#1d~82^VdO*v-%=9{b$!SFOhWzWv=-lkM*8YZ9e{W9C5*JhODhm)rjq#rWf z%%^be%uZZ{5WOCMZkllUm=H9~Wp)E_U$aY=dZjp%r}TfxN#B;{8J zK(rrTo0_hQcc$HK`bfn?FFssXMb34Fmu|q&qg4ja*g!(zkIw&7v6~Ya=91`Oe#%J! zVZFq*JHOoHhX9lFjBgmF7dRo;hMO&aNo5K%7*+Ga-oQ3Tz3H2guFy0=kp`GTm)Z4P?1Gq)GWiRnAXu*kYrRoY)pv0{#D1!2l#bobA*DN zHCb?a1Y|2#@<#I_Zhh_{rtCo?j%fr1T-~Q=>Ha2x@m~Y^|NTk#*RuPcVf8oNkAKDrLGa3R05@I$M7kQH zR2+3Am|1DV8z5+aKMb()rpHGo$NJYp4Y=`PPtE&m*L{!4_7%#6FJ=aOl5HpjW&k27 zo~jGjnbf9?6hobK1iI^TQiKDZCI~quz!%wYoSA=LT_hoHxiew-ejiA1_1JWRp43Sc zLlDewa!@p_mP@5#7B0f;pe%O{&+I0J+)t!z4SupnsF@E%`kCFhdcIjbev&}hTX!WG z{|}Rk?&HV(7KPd<1evM>pUkjD8tz}Ii6!-B9;QMTfOyw`%1{)%Y9?5`Lv6+W#k~3- zZ)Sg!Yxz%Se_FCq7XA1L9d8te&0Lgej!pOY{42FF0z9UxcrnKq0m1_*0-s(YE^UEO z@SY5JSyMa3mo0bHz&7NP0DT^ zSjm)ig-%g@_pg#?OcrIw(A>?TgZ2J5xIC3%I$oC8H9_(_q#GmSK>0awP~)v6?mJ~$ z5xEeEmqjd~xsZq<*caZHirN((?Z&E?63E=O)IXHO&Nw$8u>>ejet84XceyS7GmQU9 zr|G}l=e{+6{!(rE|M8Tg`;V^Ae~;C_i_ZLm?)>-n=iip+oB)XP-zb(&(Kons0 zJ^!yx-VMP~J^1l)f4!GdkE?cxZXWU!T;zyJjb7pkLj3^7ZhwqLVVV&ukA$CrcPMtobtdDe}5@<4anO?WdT2 zD)-AP=WX>r7#>7DZ4e1qMg{LwMnJ+P=E20?AX8EJNAA?{mGjn%E_2bSKr@Ek%Jf4Hdf2;cFl|x)#k~3-zdyg#qyBkb@%^IKam zIhBmo6y66y2f;*6W8p}1UJewf)Zq_@X}b?~PQ3+|cJ&WsAv7Z*U&s(+|EL;KB|FaY&{Ul;eX;zreI{PbB zG3mNEJR->(jkq+Du_=@Oy)=J*v^esXb#IDM-i|twQ-1YYGXJNMJXd^F?OsTDf&>!_ zy|(5}86=+FIALg#gt-5OBS|q1p7ITg_WZzl9cNlt^PN* zEi(ov{RW8Hu6Rw@Yw57fALAE<1zU!(NQ-BO)n_t{)^#z1yo@WyOoDz`P)*T~iW44z zP1U9@4^w8DCybAxve=s~(}5^E>(z%xc!=-@r}{OOn7z5+lnq%uR~dXFSh}8jEh- zP%?Nowe*X>v%fOOp4a4&NIys1+vDz|tsR<;drKJJ345jubJwmW!EhGGGm6Xi%d_tQxtg$6I;h@~5~!%y@`AwPy1 z+mN_Xx=mzB+Y{?0lJ%GFmkWlVC!Vv+#yzM8GPP8oOIQ+Fr#&nyj<~l|q}NuZ9u_pJ zWkunJYg!J}d3vxqW4|%D#4?b3$Q_97QwIBKu-j9cM3-im7$$ubuzJm^5+ebk-w-d8 z+N%@|rg%QS95J|iwLBtrm@0onXu}qNEGP0Y<)bUDJxoo7C)Ifh>!7Lp7%J|pKKyV) z|KOna1ZCUh=(6BOTL%bQADg&q^5{Jjw8-;tAFGPGNsL@+tT>TK7P$k z!BZnm8SjK7UD}Z-f|G5ROk(atYZz4}%Ia+KPr0^5T|W1QTsEhsSC-Vggh{#fR-z^I z8f4AJ%nojqe>MjR|KO%@XlI=;@kA}kC|-+T|0Nu; z@D{FVy*%#%3Q(Rvm}y+?vG$AaEOKFHW*Z2RNjp3*xj`)stQ(~28q2;PNX z_n{1-vb2|B?ua#4@5d;`i9nZTUekr-m0D+p+plP?N$$uc)8tEq&U>5W>V2>~VaBUa z!zaTmgIOK${Be+IfGR0S2EV!gjjV5+tcSD0? z2Ay`sGDJQMcZyl-wNhX{w@PxtL)CeBKT&;(?oFs)oyk@|1@0$y!jCxDbnde!x!K;! zqm*!uGMa8396uCrz5>6z*bPiiQ|YKPN1`3ruoxzyTlS8YqnfO^8`nCM==1wd&&Qj* zmE1SuX67ryXXCrb&h*7>f{UK+=F*h=Zs(h{8dPW6OV9EO8*C)HPD@qo%PExabk}e4 z8j78IBo;p_;42%|GwRHi-WpFgr(1E^f2AMP=G=`vwCIeOD=`#TQMWq0Zm$KUB^G~r z34FMnab+?INSG{e$Y?q7W%>*`yf+`0>G#!^rlZ2sluws=Eyen9pfFLX>s%YDWnR68 zO`&rAm}YR74t5lzIkvfXaToi_@tIA&NA;2#x`*|W*qWhmmm1wEraP7qH+z6wNhlt%ps-jtP+P?r<1 zaF?KRnxEsnI_A=vCicQmc~Via6tJ-`>?}(S5jSz9t!53-TA1M*`z$^x%vQl6X8$#s z`*iU@5mT zcT;i(tN>N!UZD<(;EhzdY?IHxSQ{D$N|7ybDV&0R(;{x!Vn@;23~m!+3lDc0@~?l^Pv+dCEH`; zo}R6CN4aZh>&vzZv`jMg&{wlr=FJA3dj*ab*JO`-+~rmWntbVSpf;wf3JFVm$Pw@wfD-_|8~EF}n*ICF{ttY6 zQzLMRR^^}1!G2ANU$50LUzb~Goh{u`cWaAHODcA^91PvOvIJ7o{2HtM)(3^+XN+l? zu;wo8vYow0(@NWzck{&RNYUs~*`8FqD-kZN zWByj8=OgWyNtaJ7yf@@~_SA61zB@_8XhBZh!Q;Rb4ZS#V;-kg2DNlpfdwBI{b77s$ zBhBZJPuO6s?dEXZ?X6Can}sI%2}xtyahIn$P6qWL*%HpNz?6=)$<3**N?hroTVp=Z z>^T({XyN|%ri0ez+?V%1tJzVPbDy|AEA47;jW*~*`cDd8cRL$hUJq1|#ukA2>j0u) z#`&qT>l4bak9xtNBlX60pp1mZkJg|Q-q#bispAp)Sm~vbqEV48J5>u3OXA=Lq2sd5 z(5vrk=q(l`y=-blfCcLf~sKAtQT0G?BIgNY}q)xO|X|p2*VL#b`KCT zJ^r-P7e>57NtDc4ik^6Ev(I!4!0pG@JB;}k?AKj>bo_9&< z>KGHT_zZnk2YXQ?=m8(f&cp2lzP0dNBuO=F?a0^lTJC0;kO9Ixh)GFq*CfG85h?qNo>U3 z-Npn9fY{WfMAV1ur>$dAAV!Q|6kOH}BdcmDu@DRiD0NI+&O1ZT4*`1c-f7|DSW8eA z?ruFm#4p=b6p^Rh9o5Qpg+z9=9n7O{y*0nBVzeklV=zmJXgjJ~z0+w5R+*n!%y<5A zvD~~6qbbeb%H0Z^EOQ#7AP{Lg2@99D<{7VbztVPlZ}0~VTL|o)WROJ|f~Bw>*>J{M z*O?ARCr+1X9V}BOuEO#?SS=qX`n_v1{3#WV-v0F8M9*>bri@@tgvbE-M6ny0zFxmXpV_;ZaYw5Ec0cq~H$wRgV^{LNcxYU< zwEmEHDcnl8cM~}DFr1Hm)^W3R8MP4y4Sot5ei1l<&k-0poUeshf(3(|Joc)&S!sa- zMtM6(`#@k@v2~MYxUm+aH?IYB z9|G5ivqs{XZFS59a*|xVx-II}Vs~9G%@S+J#%JPNU7=&u`}MVT%gPd(%eAKs9f%Gf z<>v1|AC8(DvGpmh0j`>@%hQj;`Dd{1`KIRB$8fx%SuAgjrhF8t516$_n?Jk&hG6sCsSS*>L$?@_J$!`mbhZ3jZPRtBtK6 z<@nx&*LrmuOWq~7M+$$;L|RehR;AV+kwAjr0@MhulP^6y8okixuE+uuELZbQe;vPQXDM*G>91>^#4^7Mh98uc{B|qf~p? z@J1yL7uTAbE9Lx1K_aFcrF&;}ah^Hf)k$BPI8B5Kv<-4#^2TEN*=RW@05gNwshfx-5pyUvt!#G+r}HKW7|o`wr$(CZQJVDp11FJ?{8+UnfWJY*RGAH zcAYn8t#h8Lq7^981rt=ny4rn8{vAonxp{Si5OVt!&B(jD>iUa^HxHy-zKjJ{$kB|& zv2ggLUjCWizT`^}1_ApeT09_%Nv-S3j@sTet{0+OIA@9*pV$}jkIlV`8O{I z?+#}(`yYVtP_gae~7%x7+<1@aY7HIdY1)Vh$g)qSN^Y6uUiO=NCLa8w0owFCr zPjwg23$VqQ@3-|6SKq%A6a5}N`ttI$QW>`CXt;fhApW#?{)y4_2Nn$4P8tF6N=pC( z@eJ>TdqXM3_4x$xN*=Eylh28?=UpVDm|_Kjx*pY2pWp?Yl5&U3!K1@9WfwcPljDujGDUnSip&EkJA z6gQ6<=(Awuqypel)M4S!>pI#oLj564BGC;Z3`fhMuA$zA6W_bT`Z`xx8r&NjQQlbD zeswh>aje`+AOrxLK! zlT-)fZVo7g`xxu`4S9A4chZM_e~1?0Chdjpj${Hq)aD9H*ot*~hC?7T_ZeFh2C*(Z z*Hfe^8+=E7(%+#ospn19*w4vM+{z*GGFz2h><=i4BENVjnizd|rS|4g7UhKj_(d&T z^mtONBg`t;TCjXIFLzMNPDZssdwMCc8l~YZ2K^n8r%CWboQXz?tK0bm_sm#{c?>h` zrl zYi27>VN;=NUM8lpl+1jZBm!5k=oRgXEbKj@cVx@0;0dYdk1p%ySljkHUQR{lTCVN+ z`cPc9%$X;2DAzP8exQc7_-(O}v~NGNE=TPQF=0IHt>j%!IAGcdFNWNZ;%~8ha5r5e zfY%b>nMJPftdZgT1V+t4n!2ZcA!!?fL{QZu&)HDC*pP|i%LBH5Lh!y2PY!;yCA!ni zMi7g^>M)kU=0TbKM(lHU(IFm=yo?oUNA%}D391K5YATvPOWBp&xvUlLm(YrSxAo$y znVL50^jA;GSeHLZD76SB3UJ#Y6u+UrU~-B`2jg7e+cZd-qp-bh*X^bj2{ur(>YjhO zY>PlU?qf%HPW5Tki+5cdO$I%bhM>ZhIe(7O-7#&=Ua_m{;{w^kSv6xiR;-_M3PQ_S zb+!e;LneW!eGn*KU*Oq`ZbX8=+X1n5xICS+Q(JTl;F=Dqu?U;fQ)ceenXOtQ(ojnh zWj`@sOvGA7iL05P3zqHFB2{KoEUp8q+r;%5TRK;0J03i&-=I02TlBQ)Jj?bGG;q}m zNY~#E5w(A((+GM?QV%+{*2N8c+Qqsx*Y|iX)(kCUgndI^8b^9gt`$)#?1>L?TbH&` zf(_bzhJM}VF!t!AYAm>~mYc&ve^qJ?l2Ze`I6E8O)=<;oA%*-fMV5U^j`S<}!W3zk znMK48aUA8~81&J-cSHLXi*j~WxTk*rWr<-3N6LW%&}aA>A+PUgHPr(LlC}YB>&I;N z&Q-m(R?8RIc;kL4uUvmzk~DN9_a||9N-&v{OHT=O{B_6lVzDXUSvpIX{3K@K_*NGqA69oZGja zvq=tKwTjqZjdXyZfGcrr`RUV+7F2-I4y(b=qpn5@y#M^8n02uYsvI;ZZKmwKXvTZB zd!+bPL_u*Sn9k!^@krf|(Sb_N&&PA~Fr(Qb$a?g3oI8fqR)49`Dn3ZMrd>+-xE4)l z&_MR-bwGFv6iU%ELR@g;?wOS5PQ4-UdwcEEnIflBy3(9cp@WZ#%f+{br1aczyY-O- zp2v3B-iqvN@SR0AionQP4R7&?-OsjDl-PtXPLj59f?VosOJUxg=<)bFKMqrU&0xB8 z?`fOpHob?9sh)z@MSYasOwz0>q=QpZpDmc&vEwOP%!rX_MY3O0eV}vskFME2TJL?> zc|;XrD2~ZqK;I*Ke$1a+m>!d~+IQkyIZ1tO^s$S6L$XgjRi$XZre?bvGmQVZ@t>9j zo^=%$|H2GhcBJ{9#N*WU;N3Lq(f9?4oOqzOVSN9vlzeF53ojTZPjJ)?msJ|hwf=K$+s`oI}WYMswh`I`jToQo=K;HEq$*1b6}qw< zW8ll7Eq1)$NV~QxU_V=_OB1Iqw|COzlBsK;e8=5&?6>{~1Lw*2i+bRvl+1Q6cHTWl zfUPUTXAc_l_8jkaRC*U!7|-;l@GOT+g*zh-2X?kavcM*Ux>R9EG!gII*aBY&mtvFtyEY+%5Jm&=RhqowUiGkWGA3kWI9Ez9Ro2G}v_=PbRJ0LR6(Ey>=dC?n%~nBTbp^ z!wTasf%HZBUL9_a$1>o`bzgnPF;!J23DMmyc|lYwBJSl=7{A6K^nWDK5Tnb^L%@ zN?I_y@1KpJ6(xn-nxR09>7;m55J*s}5i&pj_*y9>Ea%K(wnErQG{As-R$rk@Z?Dd7 z-*Nb{E8JY0>d^ZjFKWYUW01;_QZH^#uT>QU+rgs9w1pXrVs4cCF1bW&tf2=29C?$o z`2vQT{pCYY2VBpt&b?EVVr6S}1>}*^?56+T{2{Gx&_E+UD8dKMyv{LK++hDk2}f2h z-%o<1;*E1PilBTDv1Bgn(ZPZ7f*5kQLjUkIL{A>%iSu(g`JYLNsPkyDMY{4}grV0i z=`q>Acv}X6i{Dz5J%1KkTtK(Jk0}k~-nz788zZSpeY+Wc9m4(!x{b7|Rm$)AUL589 zFd{I04d7P#srn)1m%7d=MQbKmyjE;0)US&O&E0-cMz;=kfmW>37InEQxqVR@6coZl zWtrj4JOaRI=B;-jLX7&k(Tdsjdi0`{Avp|Qf)&B2jguOwQfr?3%DoMK!kjttBYdh! z*uI=cYg~FJdmMh+Hpz|>S+f6#wphLyBPm7Z(m2Rw-}b;WNdi)Iq=U}+i?f<@)0aq{ zbHeb7_#RG!*gBm{v!oeAy90f&8P25Fi9+`I5r5O(YFNLAV0|gqm@f#%0f$dFHxow3 z0=Zmx&PlU``MKE_l4k1CzJ>KMU^f=uH$2Be+&hDJy33_tziOBLsM#-Bt(O%1!$|7> zN5ouG+vD3EsqPrN!j|LG^T|~6q_t8sc9EMf%$dy@B07=WByZw^pP@c{T7SA8itXqYQ)wr~GaY3B(MLJZB8*kDZYzYtTa(@hbD(-Nuq}aMtAUL`QHI!is2BQQeZY zsI@0u@fY~&3FXtPrD0t6c1SN>k=@6Aq1vS^g88FU%jTu$50E$IW_+rkYxz6$)MmQJ z*D!Himw{-k->m#-QrUtl{hp03Sph)>^{7Nw^@0oK)okaZ0NVYxSx_uV zzN2+`ls3{@rE8N{1RUBn&C~wt_%munE!y*-RkgpfU?P{a8V-#xtWTq~y4kg9j z-JldjBr)h<_BAs}xkZDMCnJmklej_|7tVRW=^ku(6^&o`eZx_5R*QE2>&}<(u!M_J zIIMU84+Ja-yoz_u;xVe@w_j*-R?K^a)RAqG3{iOAf`1lp<(HyRH%0ub7m5y61=m(Z zhQCu3F1Mkr?NTI2m?lTq*B3*g=KZYlt{iRUL~~B7EpxB#s?4nHU}TxjcwaC==O7pW z6(h_$DKgXf-OLgP5)9*ws&jD9+J1)Aza_YG>W~=#@%yzj9OjRjxjAY8)BB;(k6#KU zq}jA`FX`VVd>{}rp!JZqt!G2vTBAt4Qimf7k8$^q-p(G31~$B!mNURPt(|1Bx+{DX zSRDCfadwBWrL_W}(e5)WJQ3f%ifFEAQp!dCm!M|yqQ4kl6`6wHTFt=|R29}3{nih( z4Uj!lmBW{qpZXsY5C(ir9vuB$>gF3gIpYsb9j?^wEKO;=0F^s^g|BVW^>ivx>|~#f zLZJ2kx!4x^p8)>^XCR;xwX=4#Az)(pcT<>uImHZ&tPJ$fbaG0<09xQD0Ye!*OG5&3 zS~??BV>*LhM)tHezl_r#|m{|W7Qvp~sMxgvZ0v(+Q6HxviL5xm> z87TiB0u-H`p2OeGcmBHn4M!(uXKkQp=m4A)IyoT`;0BzAF2HFMw*(dfxF^p)SHXX; z;sjdIbc!Z=zf7%+|MiEa`){WI)pF z9{@%m8utGH{Pq7Y|6lk2@&mp9S+EYAa%rG5$A8&@z8wE02M&bezudraaQvHE4hWs& z-)bu=i31c(-IScI6T|6}I=d%OL|FHAr86rcOml(50$ElgV? z%&m`yrX9S9=;WWLp)b6K)QD~t8b7>E5ISMhfa}f6g0S|d1L{)M)t2nir{{au(C^T7;pLhR^{k-s6Zc$bEvdTkqjxcEK=?-< z3J(VP?w*e4$EA+f!}F#0>&Sf_J}p0OZ;GzKX1HRq>iNydf%DSkqchZTi;LG=ISI(ij)Uc$5rWlkmMu8s)E`$tq#R6kwiWmoIR zi)ZN=Rq=_PQb!SK$pT?+?c@>MXnqu>8Q_XfSs`U$`M4rxvQ0wuhNBhQO>YQHmH8x| zr@TzQhe*q{ZM$L6oJ6|Zp&&DtD!?uuO5ppL7^$a{YM(DetHLOaiaO>sdI6Qz$tHZJiJ&i>O>hsb42KV^{Q;W7MiIwTTBg?n zqJ379fWzzP zn(#orvtckzK|bY;Ul^4HKa_H;Bai%G8+hilFr4Cob*Nh;kz>1sam4O-MA!E>=ZnWKr z5`b3Ftg-}m@rz(Z?H#(|nKm^pUzddSfREs=T2HmH+M>#5#iZSmtNr;> zRkgFEsJZuD%w5W`GF~NxBV=mqoURohP__z1R%m6k^E{RyFKBW_`jf2{bL`9Vi{%8mm$Pv0edLN10SF`GW*8M1QO#(0y@rpT+WHFzW94oT zUVWv`(@o`WRkUp7ZU|murOwwC%9kpg4X3y+1`Dqe))lQDG-VfID4i5^*N?JI@2&+T z=2(8yNRGzR0W9V&NUNzleKf_)e->1D2l+=0ys~c!-wG-oQPP8IH-DU<8wl2wVt|WC z^e3F)oAzT+t-0~`43L*uHu>xj28AqR_k7L3(rs_fxiDrYRPLAna`W+%A5Bfj-#iuD zui5I~VXX_WNQ`xLs_?~23m(``-$Anq%bgp4zi~IS86J2nzONJyjL*GhsT5hCgCr=U zJ+m(_vL7cA{VMC~&=bYGjjs(Y$L3|ztk&RQZJITb+pkzpv%WakMC8rriu0Qia5IEy zG+mpgWc7kiy1;!03mAZ8>JN0J2Iw^j@Vp-0jJOw4^)UP2&;K|#2D>o!yfeSh(8|}* zjMwz3NiM>zuy*EXheL8zuNnQcOvr=qsGiM4cyoN`r$x(1)2<)wlCq26%L~1T_wMZa za-pprVm=n=AFPp&dC-xLjVSlaIfPT+T*WHl5+i^AWM?c!Lks z)4@glnP9n-Y{+xe$yS@wIq5jW>DLY zqKjl<8~#S&$5CEV2ecxOSZOcreu2QGsE{Zs>3T>5IGaxr^ph{f*>Mo&ls;L{}- zxxXJ*sBN#k5Ss6O=UEN&({J+(7XEEK1HjhWuK5$e!^J45U59f2i>xx>Gvl5p(Z;`Q z)}Qh7HJ&G3m4~t!_&@`flwwD!aBJ&S`W*Je+#x0u5$Ur_FrF2CwFB5R(dGHN%cj@$ z4zX!y9Ps{Gr3?rO6L=Rux;fkpLb)9hc79dpwdb#f$_|leR!vQg&f_=7a4ljRz+~ac z6SZ>H+*-eH)}ANY1HL}^7Dcj^>XLB6GV|l+4`MOAqwi|it4=}-}Q1vYVV}fyOD00qRZ{F?MOmc{{3ywwW()#qm&|&EzBl?C&qCu(;|@L{dqPT9GlUJ;QH+HGbuw+i z)0zoaz=(d@7%naUMD#ufCfQB}gkWbK5?@j5Q6qoM> zVtYJ>m910k24Z6~3t11NnNOCaYSzi+Hzj#NOx(^!+o@qrG&G(?j%0~gOYAInC8gPx zA02?fbYMUOB2%^FpQalPJOm;`0uwW!dZM7&!HUTW&uOnrl9X(Y2~#OHW+<=+mf*@X zpZt|MDe;N`4TaE)YCEOgU$hIf{G_wo9T-wUtfpI6H#I?o8)XThA1o|~PD3NO3_|xI zf?-w#;n(iz*NJ3lHC1H_V0Sm_+)NmN+a|OOq8gq-y1q3kC9DjBtEm9h*&q~x(f0le z8%~2mrH~K;_lkX0{mXI@tHWL zR~sxcuC-tB!{Ea$Ga0wYH)m1hg4RDlL5`~5GbyU5-OIU8=sS0e^(JkHs#}uZxb7)} z4DmNLnG;@W@$po2=~mMo)V5-=7tOCBV~8iN`Eqw6tDdiznmoQJSAH%;o>WnJW14P zgxvb>ETkw+ANnwoC3}Q~0R~LS(?m&p_CC#cYoyd09{{!quT=b?o1%C87e*l=Z2e9M z>cQ1J!vro9PBI;+b^MuO_Fizoocb_sUp7YEx{Y!$28XJV6U7sD=m2Or+9V~wei&{~ zuz5co0`xdh6I`73*tR;A{EN%fZ;>B-^{n~j^cU0;WUx!D!8PgSm;y7?dwg4g#7XS~ zqBKI4E94L`k-2L=zvZqP7{D@mTS{pqV` zh0=?Uv2u?v?jnACn1b?=_Xz}MN0?*knCudx#xst~*~k*>lgl;0f})plDqY#8*WYgN z#(Sri#w0et9lk;)hhd!l?iVwY$(uB$VM`a25K~~pw;fMDRoIzhRcd3_P@=k)s74vl zaP;sk26Z}Zy2gimUdF%l2daTC+-WviR1tCCuoZ;+PN`B9(4f z;2400mQ0zD9yQ)BLCOws?n^mA^#?Cer1`p*xoTGAPVJ5YZDPDksLoW&(NYU6@e)x_ zm+GvvdFfkwSq0UHSq1PYvomPVK8%&YW=>h$K?3u=)0CadMYf|xRKH%V5{C?pyk$pX zdMLX3iq~kx%s()utjDkRL5iZfSI-7&*uQbntn%v9zL-mKz#502{{ZwRt1W{{%`pJz ze8S)dV=+|yh9K81m2BC1w5r8Yl5n_CbWw^8G5Z0Ii6<}luG6mx#kB1DIsRwa{Qzu? zRvU8$vGecjx$wZRF2z4E;>5r&LOEF$1M{yJuEN68Ppr%7G>`oceyk(nZbxGTku&$( zMp1<$eEn%KJxMQe3l39(oY)qkA~KIn3zF{4dm&nn4Abm8=g9t3%W*EMmpan6oG+Y= zx&R;$kK;^S+Cz*^DiKMQq3LFjaM*Ybao*>KmUwlc&D(UGmc9oJWxsR3q5D#rkocqUDDhK8v9$cufvBifPrg+t zqcjm#q}JBew^U(SJ=9%L z4a?TvSY8;8S4;c$!Dxia^?dt!aZ#_u4UYfu=b{Fay&!ZY(=1Bh=kWq;U$*>=qHeiL zb)^+_d)usHLSkxVI%J&*2pufdEi4uhOha^#&a9w8Gd4ok@GCdzX`Wy176zjIL^d2; z+AXO}HtG~|2H9l+eqM@Eg=+}d#SX@Vbi?oKKmGBoTK(igBUYOATGhXES2>5Tulk_B zBXae~xiZkEIwJ%$VyqjL^H94X1!C|t!R@ILrEuoeq=O+1q3+bsi+l8rFUz1G5RUsG z?(GDjazJkO&DiG7uA?p9!HmOVjPamT9NnaRBp$L@{vxufcT{+zY#NL|bWE7jPCQJo z+ia^YWUhkbb@7uT@rz4Q)o%DzpF&>Fcx#sIxH~suX{4zqfo|weAw?B1{$sYazJj#C zL@!n4wP&zfBB1^OwQ=DK^88}{cw?%=0NQD#1yvOkHb~x)#9FAB$xM3@isTwJRg`jH z%da!0H8ar1MJecVrn%C&PR7eyl|tpXBIpOw)Y--xO8P3+fYrv{O?^A)Jj%IIT-9UO z^RnLhT;2c{!udoNMpu@X1u^ut9v44R4}GjLGx53io8Ws4XHFdVYA4-~ZL9FFpsWU)An<6&-)bNU zX$+hK8}zV{b53D%3s8m4IiJBR^fOXIl?ry{>Q!VCLuUHIkdVyr*in?d8S}}atmE}c zH!ccl{oiILSWtPSwoQ{VeiMm^28Upb2ZhY&x9}HLgZ9xSV`_w|BGvRRV>Wb`_^uh` zp}L}X6od$mLm~8vsR>u7t&{$Y#c!*$%W5>fHBcSZ`=Eqr3$590JDqn7C>myBs;|aT-HNqW0sh-a9Y3s>0kqX01*{J^ zF2M;+D}TUQ6XDPCWE`t0W?8Pb+Sdgmkkor{k-WCZaOR0N)HWX9TLB@#L1~3X>wHce z9`fZ#dYZ;~i%ev4xJ5;{^h1FmTtaC*l;JLU3{1O-<6mI}eSgp^*VbUzm}Fo+5-5&> zg#<^W9$O6%qqE0yQvMV%fa~55)QK436^V=gW`!#NdO3*YI)o~ZS?DeW$6ZbVaB_(k zxrk@b?44Pd>|;RG%VkVn#M1^XEX^X3|aU~U?4gxr?gyGgLz9hpIgdU z>WLc}tB;=@7}Eus-j)~ahE2Qhs*Hvz$-(1v7K-R+v0l_{!XDWo7zj47&OX!rdZ zlen`8K3q=tqX%#ju+*KKWcV0LGx7t_1cRhcPqa{ZLKhes=!t`%`?Kb(5InSl z6bhmYx@`&zW*cdn=uh>KjeC*rK?KUVz!$zVH~7iu!W8vgYG{E}qXJ(2;O+0}!(~eH zq3T%^@6bgdR|F0IfKgA2;8I9)GYg2t!(Q@TqP0g2#tRaQJnDi^q#U>kyTG!-NHJFN zPaGrEeLY=tFx`!BtXUUBNoN&gE@xji#*+IP%VS5wVYoK+bZZT(gm@HoPA zu&B(yY*%(YSwRJh`X-cCs}WXSSbg zGETwM{&sZgo{uBKaX`mFbE-cqy|6m^fu^2A8bIy~nZ`0{pSp{T6v@7Tu~bd2Qa^$b zNTzF;8*EmW>akt37g1hFu$!v=LAd7@&fU{q$;{9@+}wMkOL1dw5)neIl>XIzC~MFq z3f$d9oK*lNsb7?3dZt9#Qz77`HiOJ!gzZ z0$GKWrTu$b-%UY#_vE&YH|-;UeJYXx!ATB=bEtX-#CQC+W{Y`$wnS+zrYrCYsn^H( zF~o@!b2yRNn8b}sQQ(`b1gO25{=C?3B2YTAd5Ag8ZI_rbMv$(P#%iebG?9KCOPHz~ zjM8SuxG*C-8MrD>K6Tl6N4#(z*4h=LCVVH$)ct;+>ax`bSw@1evp2yP+C8;T*|yY zIb5XQ$sn1b&VH8VXP*~|v}sdd33r>7TD(Rdmm%!UK;b=x2cXA!3{kW&A%vV#Di_t` zl;9yD*H31xLmQ%ul(P0vio+^H(h~rHVx+-(eFSVZh2JdAhaKdeKXg~M$lhQD{6$KS>j%OG3sPeJpdi1 zR&i0`TrTr!hpgu}l#VV5_O+@l((%|-mZ)tClbU9#1@PD+T(sqB1+G?csw3xU3o}$* z3PI5Z?-E*xTc8c(G^y))ePNeA_)b-k+A{)Rc_{*igk2PjFN*gO>G5U*M8Kmn+4T6B zxa(xBch8O6#}-bc-+CKDPE6{>tQp7QV(%BL3kL-2R_j!YlAnkh)7aF!Q0Dg(Q|?#H z#c+;Gx!oIp53`8~oI8s011I}NF&keMU6fR84j)p~4ri(^D9KO{+rul42NyEq3=D;E z>TTB7`>62n(*z;+RNS-q@3cntNSEZ7X=4Kk6t^wo_8;`)Q zS2sZ0OUXq!%0vgt2!d)w06Ag=ey&JCqJ=}u!O zaBUEwdeQ5VtcwgWmFF^AyZITDnAz5}cGrb0*)RY3HbtpZ)qIHVLjI_-ggF==$2g^` zs_)7J*{47Etn1}7)UyA3UtN8 zRB^fY=o?!cgLpbM(y*@Hcnv!TUm`LM+$O!)ilbP$tdA-Og;uDJ{C%-IMU%OiEiw;I z3gX04;3xq zp(+nO%Na$RfN2;I#ULo$8+~}Q-apbDIsFb%WWDWAw=jNwtp@MDwkf4QFInhkaB_zI zu|}R@&;g=NTmD!MNcMNaT(n1b=HH0oRVbNQe9E_TTz*+F`YeX#$4TX;@C%Z}JZ2h$ zOYSb|7CxV}-a+IZZHQJl&WtYAH8wt-4jAY-y>)}$`#_yeq+}a)DR-@2tXx`jgeyyQ zhO3x?R=E^_+bAMQI_}WaDWPvFNWyKiGy#QZNw`w&y1(j!)BT7v`p5^-yJ&%={q_DHJ)5H8s;eJWx_3av5M@@lX1t z*r%NLD=oH4iY-CIW92z^OPcA^C*%|aWnpSkXaPGRjsH?myI+SyM@W}NAPH8*(?MEq zL9hu&h1)?=A1F}&)fg;@E^+rt*zzb^uA6SSZ#*=J6old@b2J#WmD;y&l=o!#}q z=Y3yzr#hGAy!q{3(CH*cN2Gv6XRu(wuj!Y%phHg~5S)X0UZ|>vx`7LSG0X3zaCI#g z$r7NDt`6cNT?))u{#R4B5Wv>14#K_Iug>i}V){4OmCtk4+<%8~|y?F8Ih-*DEkB*HtR z3f(iIdezs~-Fu+DeidG;-ovSnh8a*ecsNyUBYiy0v95OiJ8i1yn>T-j9-zSJ0Tc#+ zf}O`b%UrC-{WZ;)D!RAdA@Bf7*G`f9l8{c3^NN(t)~Cc%^XVp*r6t|$gs$XHLSKew$tF_G(s7)lx{~^^v))G<&%9Vy!)jncwc|d){_MN#+b|W%ve|ltUo7q zj$~z>p0Y%3-Pd-bpJ%-qt#!2R2S2g9&3l0weXg@y?9n>@6_%qFu`|>YHH6LD%=>AU zb2S8azega1kSVt->~Uk@bbBsVNR4^2nwUv@EiUO#cr6Mx-5GBLvc4H_gtCE}+$3O5 zmu|e?hRr#y+Q#;NfBk9n0V2B!ky+2SFP?^7dIbOBV|8<4e>cXyv_B@c6nN$9X!*O+ zbP0GbJ68Y`{S{m-x)c2^zf`F$gC~@jE{jN4xGcL}B?eng=b@r#cvsIWS-k53>}y6;Ne!qXJQ9Q7 ze3H&V=+@?3S8l$xtet7zF*dS3GqyJVXx}$K>(S_KL~3nS_#_-{1m1fVXL;tcjd-nw zmS;H{tBpLZhku3LzZxrG*J)!XxcNonMYY+;TI&_|A4^XU$*skqrnkSs_ToSjtQD|m zJBtBLI9BhYY{XU|E)%};ycR$yUDfQ89y z1^zlqfQ9*2SZe!M?b8V~!g~Ri-T0z?I}iNNE4u-yeLWv>3jA}As(3qppYT`TTD)6w zwv-Qa`Wxb(p#KTju>GM$GKO4^DJ3F9#FP`OcX+gXMju@x1=XsM-vw7226t2F%2z;I zn%#CEu&ojm_oiZ7t=UHex+KQ##r50hhA$UUSNd-4gO_LsC+?qtAHqFu@W5;WcY_|i z+dbZ}u?o&!>1graU(lBxb+onxbzM^L+6Z>@tesnqkeFl#Ri3*l?7li2(HU0`g8#kncp9btX$ILdi&w1eSpg|exAz@+YR6IbJLaC)P&>+w(( zPpHew`;3qw z0p(qO1!fiBrkr1wdPc7OZV)%Xmq|}h8YP}(ZzCwQ{)UQVC(8hY8vn9$; z5ogc0t>h+)-zLz}5hZ;B={JNlpO^&alHAB!S}J|EA}$wqY33S)35)pz4C<&6qx}n` z8JH!WU#m8Ql58-u$X935mL)zw%RXcQD^;c(44N|Amv%EnaruU=Rt@xEy+y*GL_G}d z1IeC|n=YfrvzB|gwnb029dKcIrx6SU0En1Sdup$w0t`=3IEiO!Lx9X@W-AGgO4+0aMRDz^>GmFN zat5GLKhP)yXe6NtbD+gZ)v*=-qzOT1O(wgRyHC=k5K{DJEvGNbq0 z<7!Qmch7zXJTGDAP7XT;{5-Z>+fVd}Q!wrF7xQg1Lyvq!Zm@AOBpq!`iI>L2K6@Yc zzz@Kr{7R|bg%oZ1oj%ErEoCtZ`d18nNnmb>L?M2yToh*FOxeA?m@Bm(7C&}xK6To< z#!@Utib_Sp=(>Ew4*{7hA!CQG*g3ih%p5!nSjymigm#fxv@!}yijXT zK&=Yc=E5E~Mss(pc&t1=lz|p=5fj>wpMGbQkr6{xJq4S{m_q=Yoc-&;C(^n|2~pth zOh2k~(35IoGrWK!TaRcItKhj9yeA{$ zrGz}{J8`pujv6UgM0o#huSiyTwQW{L!4Q<}SK?^E!g3O+Lb^9=mMYBACEeg*N9eyj zB!t`}$iR`H^YpdK0ktkUJ#jC(MDTv!K?+6L=zV&VgX7Y)EH(2{F9XW$SP9SJbkrdt zgdt`r_8=x<(TB?DlyfYK=KS%%%_fP*gG`qLq4oi9eJx-M#6bdQ>j`@vm;3nXH(s8g zE_5Q}I9lfKH3xiI16>>)?qf>Qn>i)oiiTHJgjVIFhfKbc59ZxNK`_yi{9T-b2?x$*gCKKf@`kHQ<$+AbEwXK97H zO)bg^lh%;h16Xt>WdX^}pw+Geno5%m5vs%~C0V1~YA;X2w30ZtF;dHq{(?s#0TXwd|y=G<3B zDM4PeAb3vl%{{-ey@N@ZO+O|o`rek9eNo&#IIh}mc0ZX#|5exIitTNNGoGMN>f0o2 zU#q>}ZJW6a)JBwbRjxISnI$$*PkM`kTLV%g;(6xpT3(=EKK$Al6i>n{RhpAaLbEz; zLo}*0O7_KD7!+OO3_3so<4QMgdeCP^g+`CUQ7P)C#mR9K)*UNN6j2_guWvRPdWh%) z<^DnpUheH`LPXXSBqtg7^`NaP|K!c@r;GYQy2SBjd~GFKXZfmN{BuKd z9h3C*#OR4340~>3+O&;nV{rH&0t7OJskwujv}WdP3yiW%rP7u&x394 zi?a*|6>ZMu7_`@kj(WhZPOO&3PS{Tf=Pi2I13vwS12$@FEv{vS@UivB&sI{cy$n{_ z+ODkdcj*@&A2O~JF3(pw(bguNsdosd3%ZUn8@h})*`}?ZoqAU%6A+(xmFREvrvMh- z^|^_S{CD0iYKX2GcwaFhV$1>S#y@J%tsiXq;`Pi+-e}UvU|o4aYLHVH}<}GbZNUEQN4$`%cP4JpXOy6Y#lEVO zBvnqNy;3=*sE47rz%5yuQoa5Xxm*rhBV5=1(H0#U&%=cFP?SQu(n*$7nl~=!GXHTV z;Ks`AK35Wp&G{Y zOy*=|Q)!rjEUGer>V9=oZ&UD;Foe!;8s0itWE)MYDkYG^X>cyg&}6- z+d^yqs*pU!4jcM`zHV&Gba5+QVwQn|!f5SgKA{D6ia1O{`i-WK+DuDhU1@wroHF<2 zL`Q<_&=wZSnh>I?8l@+TKb|Pqy^pLH7Ox$(Q(Rqn*u53CFk|AUVZ#`)9esd!Oj!Vd zr=}@q;vGmC083IH0PjdWeDb-dI#tm<0x=Zt))QjFQ>Dj(`l&E^s`V0T9Q^E&h(zk- zT^5Fu8kj%VhGC#%@Q0YtMEn5`YlgV-?PBAF1h`1L^)7`$=0|_MIz)|va9qN`tpRGL zwuBiHF9<ZBF#Xxs-6a0<3-Cl)849?~Vw?)R&fWNSZdtKo9ez_T5m6y5Iv#tb9=- z4v8iaG@_-;dje&sTz4e9;)u6(KBZFXL?h8&4M;~8YPMzHFy#hQ&sA2VStJ)dLNBy)Y_b32U84TMF_HWuGA5TAT7H-YG+wKJmqzBme8ODJC4CFmh)#3mIm2aW6n8kR z6sF4K)JTETPgwE~e+;(EFWdIL_}LT|)~okf9SEtTJa7}&oj86YJRttD*2ox##>sK; zf3f%0L2+)&`Y`Un-JRfrySuvu2`(YH2X_zd7TgkCg1fuBySs$|ze&z_@7;T!)H&II zeO31!hIwmhiW<6~)wAAbb+3L_15|a6gOeEs^#`g_m(>(4+N-iQHsyj{_P4lE`UjC_ zcPr3(o{It>DAUS85~;`=oyQd}((sKjOZ^O-d-cd9oE;6Chqed$ZuGc5a*JRkh}-MZ zu%elWG|IH2k54rl3T>J(Q{WUZfhOpfSUOw|Tp-o$0n=l24MsN?Wj|Q5ea)8}P3NqH zHpJK)J6ZI(;if({Mam(=cvIF_YXBInslaHR;XNDqoT4?ihE3%l<5%h4^Wvo*P_IKH z-q-e!)6QFIYox}xgOrtusgjXqvFDynWrdFvP)!uuV_fp-O^4~NOC zF41(u*u!llnQw3($!1pADeBcFd5e{7sreS`w9a%#y9kFo(yPpSlbAJC)WzJq>^>$Q zSIa0l^$bWP?pRJJVpIb~z(2a_x-M_i2}r1S4)h@T)0TFsR17T*I+^H;fa^Rds;`D> z(~sl@>M^?&^fd3w?r5nEG7Oevx>(GP8-grjGdeivHG;n&0S?xz+03JIs~3oz7A@&a zpDB+BSIeFnH+qzU!t;-hgq^L!GsjM=a)aki`rTXb>z-z}#^3XNoF5Yx^|H@%%`B@1 z9;dTc?~hWzUVLdQbrStDKV<$-&3_|Wv9JEwj&#r#g^6!Cv`PSG;~ zfDJ74EI|D;VBZw5iwXd2lL5Bn{3{7G78d3oZA1Uv$3Y(}Wi7&lAaeJD-Yf`WdG44A zqMLuWb}MzzNo?fFguc^vnz&ZH)|W^t-fu|zekgs-?%HcO$WR%lc>cD>Qq9+d;X}|R z;)0aix7Db}>0z=p35OKYmW!wEH*0A_BhAuH>v_u34ypDUjApjBB9JHPGFenu@8wK5 z*X(+sG!6*46}WbG~_>?IH~Ey)|U0*m^^?D1~W1b}%4o$z9I@8$Ijl7IAp z;};|PqrK+ujwrB;h@KVLqs7Dl?9^dmW?}iaBg*lo0o`I|1*ibn+0^=Xm^s+Ns_on9 z$Q;Os;mO1Gg^Z^_K;Oc_{ld~8Z9ad~QZ@hpXem%knu!zGw8RWxWB+%SG6DOU{up~~ z(OlM|LNKCN-f#>)5Uer|nKAg0XIYK_*0KB2cC z=(+M8OYo=WlIDZnDV9XyC<{^{;=T6iV%22TbnTnMFGeof$0%zPSBg1Q7&bq}SU@#b8oU{6ubJYl*e>2bUBxcJ^2V_aTA_2KkF zN|$rM$`4fj0Zg{*?29Q{8&&7aTx({QfQ61o@-G1V(W&+K0Ayic1Acdbm;ZYHyKgT0 zpTJ{L?B8ToJl~vTQwPb>VE`n6=LzO91Prck+HZn^q>DnU|H8^2J!F5+N?Wm= zVq60fbV)q4QjIgsfOqd!-T>w5dukkm+MF*Lz6Ud>=h2De9R~_N4iR7$tvWvV7m1*n zt$*o52)}cLu(@v#(*cQtWNLw+r0R-`T)G#knZ$w>lQ8_}Vfxw9_#YU4Hgo<>7=W=r z{NwR&qk!d4;c6AlgX%+!Ao`e2ilrF@f>>F5jm!R#Wwi}MRk540BHHr-#>UvK0DXO= zokxp>+le#@GdBm=dDG0P1Evyji?RKyWm3J~1 z!?e1vStk*$F1YzOkptWlz5YE-}Tvos!6}FWpHp?oLs+AXF^g1UWZw4w^2G-RsHF%P}f_k?I z3cPOr+xw45YF*+d61Mo~3$_Ju}lJmOc4+}~bd8Ew93_$KGf=hx)B z%<0)uRW21l1Pp{X6?LZ=g(;A^BU*$xQ0MNYi*?iM#nL&6R%d+UK%c_?6!B%7TRU!5 zJr6A5j$&NP$;;S!Ox~Xqft(H!J8iv*_8JPIuY(z+K&?WyM*)0{3wlDDgTzD8;uj$N zeO}1K^fMrSTz|g&dHJ_s{5ezjW2FoX2(cdl;iWPS)x`bb2O3Wrp-ckmP2x; z-G?G7q^^*jQLp>&@!FS&2*=E!gv^v3HT*_T&$GAc+QRAVK~=(}f01_iDV_88;(?2p zo{RX$HSfU-x1pLQ^-8dRp>&zT}%$zB7>PSfc#w7sdc>!B^co?3%r^DgFnw9EUj)P7Cy75NhaZ>!dj4A^ z0DnOOI5Q9$w-jeB+BK;EB6(Miotw2-2c$EME?yG zfQ{TGr(ePBvEqs=AgbN~3O6BP{0k8NK2!YvA^Y}I!RhY>>;J~=)=%-O|G@B5x9dMJ z{FE&F4-7xm+WrH>PocX1!0=O}?>{j7lqdWh82(#Jl%A6T!11#T{y(q&`>p?e@o)GJ z>t70Os{bgo0V{2DEC3ExK((S^g?&Q>%q}rROt)httf{RXmmMfb!aZvCKT#7_z#o%1 z|Ee(0{FlNMn-Y&bBooY$C!8)Z%dSn98B4kJ>6&;&oT&jQEbJcNd`Nc^_9Vehn2lD3 zDUKIac=Np$b$TyR3PMT>UH+})dJ6|sl@#a;h-+Sd_$p+lob#q=lexgR$R zh$lCUg71jmcBl7o|7@fA1-XLb#{+MKqxFs9eBnE&GDNzwz@Fx z_m2d~?qCi|_QWOhCNrtFp^T8(;1ktkq2Lb4 zd;4t&(3L#jUw2loeu}khtKS)4c$xh>_*~XErNE6l<9o6GGndm8N<)jTMEZgt7ZTqL34OAie3q`8=9w{JgJojxM`fnUT5O7gArxs zBwqa*R7Vv0%PN#&sK)Yjn%3bnnWx#W3mk$RaEK2V!h)1{4K+%=5qNCq7#HaJpy z#S7&!IbHj`B2%y3682o5K;K_E@caV!ADX8BH3|HycwlDv^D>1^Ny-`seDe{;l`qI9 zLtCGa!pTcH!6dA{zPU{L2nrq^ifd@cn9z2w_H0DzecFKTMH4RuA#A-Ll@f$rkoy8G zgAI1l6X&qUx!xPDI9vs0VyuPhbJ2eNB*FdmW87(jGz+S4K>=eQCE4(_ngK;ea*l}(Ct8;v4;Ve+f?{d1=K z(|7O!Rh6t?!1c#$(Z7U?_0Q{DF~z1x;6|V$K1eJW{UGN1k-PDkW*ZP7R9aiooz>(yI3N)z_5DW z*cMEs-0IA4r$bXAk6OiFLw%<6 znWD5qow3KvPgQ)SBky@yO)#;Yldtxe{ng>*5*w z<0mctU!eELlHgkHNcG|FN2^=GM9aDS~ zLNSHFVQdJCtk;db?xxaZ%lmg`yCkO!>;?Cl_HP@5=Itj^4J#G!2N?TnR5i2JS8_!z z0$-ycfzYq}LT|YraF&h)6(kI`QO5U?2+sIrJf@iw6 zD^FB-f0sK?o;%}QQI{IfSu(U4a|&bx)Xvcpz@=-i+rlbF&F;0Rd9Eno^hXrF z*Ht|`=@=D--#?F3;%6dJy4%!5#Sae`1z=1&e<-ROGa{IF$$b3w9h3ni`&ZNUA9H2@ zYCwUT4gNTu)qpxhfFj_>Rw`BwWdH}eGJuIqNs?(B4AwWfK?l%*4;aEOqJyUUv8zgm zj!Z?R2oV`Rrwh3ZvBR&w02JhC51aWH@%6`&=D#wB3Apd;kM_t#384bBPvB=>ftfy) zpjVlWAEckX>7&_CAx|QFVuAoLyoLxz0E*@hj~i-vGPdj=A1H9dcwyebFJq}fN*IM@ z+|RFMALnl#pv#3Hp*T#{FienNih()Is{+Oj zdu3#z3QrbRiA?!f=6>PLA9GLt${S{&D*T_kQEIXh1luqj&4M$VvK?toomAq$sgwnpuoHL$g1238krGyU3x_m0^sq^q;76 zRB=}mzjviT+w27qg;>Cf9?{Q@s7#3Nu_r8oi-mlnKX-tq6z)eGKMU)aGuz!byk5F@ z>&zj-c)4EG=<11ZBvaA3pYKlRQ6@|@d@al4B1P76UVw&TiUg^gk`a@@&1dLYFZhyW zLVN!>Fn09>kMUZE<`?+=F>Up)@B`)w{sdp75NbOyFc_Li6%<9sUmQP7zPv4+Mr>)9 z2Mfg%^SfqyCj&VB%8X&DNSz#?)UF25fnPk$8GL4zlFbO3a<2#Xuez}FpOkvMwfg{4 z`t$*61!)qWRPz@W{w{lEVfpj^FEM2q`yK$y(jK}FkiD91T{X*V96Z%0*mAG%UL(N3 zGV_^87A&(T8V79SU*>BVhs;E0iGLLBMqZ=NZZErRXin_b>9-D*zQ`sJNXqA69w{3y zsh22Z4;N>nCEFtw3HYGCKYXgRWZZS+Ome`jf*EW}_aXvW74I}i9S>n8v^Gz+Z-dE; zvJ6$dYhT?UYkkvpstunx$E{sy1uY1h=&-5}1=8IGy9m;~yts-<{hCOvF-)rS%cTw# zk7C_;iDNT|4-Paomws357sNSp8;~x3r0X2CRow!ZpnmaQWH~WO+V9u27z|KkWtaS;*YTqmD z!PW@S#IhLX5q3|&#!SbKqM#>1-HhWtehtMbkL=#fY+VuPkf?qtgtus375wHJ;2OdQ+hwoY6FBioV6|?T zwfQ6Sa^#Ik?|o6Fp!_&AHYu7$uGGy*7>nw`#*ATEZjKHkH!13H>{h8DnFn`OpNRHS ziWhge_c6&C+6xWMp0xoeL&>S&gEG;@bku^5V-&OkFK&X*8^wq3RY0mAWTZQT~jDH>L4A#*5c3x zVFoNogziDmY6PDeigdpaZDCfSct1_#d{atOWGPN?(j+L5ff|gRU)b{7e3b1k1S>`+ z7MvJH^e)qn%;)PgPFeZlGI zgM{tP+Z&0>)AW(+mec!&-pt6OQX6hpCC?) z@lT#0iygQFe&OkFlS*Km|It%6r6#)`0KyR)B-VMxeFAHgL;2uR+bcmH3bU)~soBJ$EbuhGXQpdhi(F(A|y)^X3ynZhXL_7*Z5IST6;acrT#GFF5f z{nE3xJ%sGN4@$Pe2^q2pF{{|!X^JvGrCQh-h&TzpXNd-LGgi#PyP%O59Nh&PI4CtO zqAYP+N`EQNE8|?aDdpO!w#VhID`+F555Jm5ewPd~1FOY<90)$eCKM51E`|>hetXp8 zgkx+df9TnYJUvgCT^Kb!Rdyggn0qkxGqnN%zl>pUbMTI}F*^l~7-L)o#oajEg=gq4 z`rXP*Vzmfsk~xJ6hd#WuBTH~kXE|zbvtQ^7Bg9$6OiO2Kw=jw><`;f2^ zI#STWNfD&wpkBV%-zhJj@!{L#gv2|Zmp$xU4~@|`%kzB{ZESf6v$QMVh7+|Fe|H(? zXwXyDFOoL{!Nvz}SqoCO`r(1YT*48@=NK(?i!~o#TFLZIqwcD86MRf9Z?jI0-kALZ+GNY1_O?M7A7d0cEX4+mlZdMU}H3HeM$AI zu_6NLq3{TF97B5HL{bP>W|6+M3uSFIo(}&^Hn`oJ7PtnZ@Hm@pe68$ugK=5A*|(sx zMFUk@{lrp1B%_|W?(uMuMT2g%7@bIQ*(f(bGoPRm8Uk~QcVfR2EP??b>mr;E5Tt!e zKswfF3O(CE$s=`DeleK8%PpDy!p-><8eW0_BM-pY{((;WN+HLz`X^ouO<|m#C1TJf#$k(EEtkMowP(udrItmVC9IV}R}6$fVwR_x0&;C_wbG%?5>X%lpt;n zCv+KQFzqXl-u+jU|NM`E`Lo|+SxjtyUd{m-<&Wu6)Im)M7PSKAu(EH$<)s+wLAu5U zgg&^OLZyU=inL&P&ioqShL|Nsp-wkXSr>`sE$(ay_p5VOnL5?mjG6`j; zA731$)F2^C-VgC^+joglc+o{KDOqmLiJN}vJTEUD4m^`w>gNuz>=)A+NbEEdrQ2re z=I!=7Te`;~eE2*(Pz~M7xNwJ~eq0PYB-|U$Qqx8Av5Tg^QvZmw#NAaTudA4Rek=Ti zzsCW~53`lbyq)o3uawNSHBW4j&vdCq8!6F3A^|2+iH$ZTaIYH48RpV!-SyE`A1523r?Ym&za_K-r;2`-&F{62^Hx&MHqkQuq4 z>_D2TUJ1kHa6qTJp*cf}S^G{bYy^Gus59lpC7HQ&gvTurEni;j9>={7;#J1h;eusK zpm;r32Q7sMyYmP8%a&9vq=8~dNsOsRIQiUubeZ|Y`_!=1$?2i7?-x*(O^<)x z*To8~ef(bN{gvReu&V$GJ^&20pdbitS3L12!RHT27=lC_0<9jV8}_9mgO5(cXAprm z0$3To&(k+Ggfi9w_A@n3g4o}q#{42cew(fV4-EU`eUJ^f<^_HYmfBQoeMghqJTo1u z-kr963812_pcfQoVAPtF@tUSs%J16NAiATd6y}dQNgY=1xx=hRAEPgq7(=P2hl5Z; z)^b8kKuWSOgoZ6{Jzp?H^f18|{e zu^JSM`3NzJ54?e@ZDvEwt+VMU#4-tRadEMI6!6aoNvjO_dq$Q5QDiQBAN18C0#HGR z(9v=&wYZzQQX{|f7Jv$DqS%*d*5eytNWN;cTf{gMxpM2rB{oe?41?2E55@Eny7(mV z#q&;6Rg-w)1YgQFB2qEN$JuvL5`n84v#E&jn^t@>tm8>I>1j?os?>10p)U6~Bz{M_ zqBi!eq4JN?-y~@*Wfxs?r7VU?#YoBxb@hpDs5 zp_sdu1Gqs@{~!@!ZhAY#UIpYt+SSW`wVI8y6zmR{j_kETCp=6pWDLnkY*o1;-DbiT zXlHy=u&X>aI)9uaZ~-GYjt_ROvb_r@PB?53?sJw3ri#q8Sat*5kSb2|{V81v1rhKk zI%BW;8&GCVu=COqdLshJQ8zJnL#Yh(Tbz~3f$e@WfTMav-ylOX%wrRQJ)vai6SuFQ3S zsYmDYhfTk084{7gE^q>gO>v2!(S6s70Vc#|cxFny$g8Y~Bl3^1hZt5JjWs-{BXmqu zbZBJymhsDJ66p6E$?!sc$Cq7L*rIus$u?|RPH|pdO;ftl`A&CJWN_*I9~BYsY$4~T z_z;&-N6%6z+f=D>(m3OhRIy^J7GML5@(q(z)XXC`)%niC^-dl@J8pR%f8q1*Qa|9) zmVdhQL{y>xS76}o1>-R6n)+vPGGf4Vx`#YCBLPxUPRE;9jecadPQ~9R$aEX1#gdFh z{Wk1M-bylw^A(Y8t@bH2ytTzd_55dhSbvuh0=G8)*`B5!_K3JEbihD`N8JtNOW)e~ zpN#wDx!n2ra|>O5#iLGVuwKykfEN{)NeNPUEh}=erY|-V{sx`?t+mm(Ax*2mH*(@c zr%OG~>uA(fq8=;)_g~oeyIhVLSib+0fr>+~fVb)pd#1q=zozC9G@DIQMl`>hH%uJ3T{ogq*}2J~UyHDbzX*6?OU%Y$ydcy*o9Z)e9| z4QAp!;H96O^Hf`JP`z^|ov_DXo~~x?!-hcjo&+q25sY`h`~rE=_fgcv5J&4IcAdkD&+kkcs1lCDr>3lH zDT4Pw@2n=9KoW-Wcz9{2k6hzu`j>CQJkuFx4ZmgLk2_u;#sV(JGTTCu{eLkb<3vl(*`DlvXx&qJa{fK8hZSyEJD90GH$eeRLIFA2ak3z7K6$Q(LE%I z?-16%q8TkENU=vPl%$bM%M|KDO8}lpzAmzVH!Y{;Jg|f`>t1xwEHI@OrOjX{v~EDE z^Zf-FircG89gf(6sx+M17Q~2Hy-AsB$v0E`7W?943(r^Q`6(Okqch6tpcd#Nl#a%! z!1@^uw2H~YEIFr*@<=ic9&b%2x$0;d^Jxa>GnXScq&PhnWiYJA6od#NuWU1htn#cR zM~k`lKPx#$+*^bTqgzkblIePNp%BKAicrrL0w#|eL@W+$nL5OuC?l1~QOXpws%#{y zF>8Z$UQ6RLRDG*(Ie&Rt9lIkMarYGb=ivd0U;N$zh6BL*r*h2VjIOrB)}Wo&+S`uw z64j!r5EhMLeU7sDt!`?no%<^7onXE_P*f7wy=WiVXuScXhm(U$cusHxkarqQcA1i3 z4q2I}<&0D0rH>d|Pknfs{4Y0MX=mPXLuxS?TtgZ}r|R+h2|46sI$!wTYY@$Of6X!0 zB^+ESTb%KxjdEHt))4TzS12m<`#?_18pu8nR#p_7@_N4^gRkalBfD`CkW#)jH!_BF zlHKvv-gD`cNI_!iz1iB?;0MdL+QM9VRgT+^a_75~Y<~XZ6NSUoQzDnK+kpueWq$tC zL+z>0^wX;gSOQy)B_b*(+&u8oT?>ym?KInBF-ip|`!BRiCaEZ~k8m~p>n5s&e8V^G zQk2D#x55K7V{koe>OOPQpIsBDmaY4P^RrB2A|fXh)Z#Mv3|IZ(&mPZi0smnr0e!@^HMWx+aB$_~dt= z9N$`dgkIVfm410L7{l}^9{GCy9h2n3GK1;Oyby2WRuol;_8UKi;|ktkdX5=4sOnHW z_bgLF&%MCm8eD{R<|-4qF?1ZqJ7e0Sb<75%%ec#ZU2^i(9^5dq7)lttHHqMZpc~kem6iXqbf_Tc6|iWlU=N zMc5~Y&%ph+BKX9^EmB@Xm(UR~u@*kbIqjF7lqUU#1=A*mtE-BQ#!=N}Mq&GUY=e4FqODq4RurBt`#Z7$O}^n94jnEf<_pK*)U_? z#7-icBf>%;=}fE1&MFu&gCPghM4`t@fQO}W$HmabZ*mHvyb0*Kg%c|Zd0zxY4nm9g zeg2$D<+4rT@erilYtJz>7mG6Nb2V$bAzxL$kYpzbw1*DBn)-4KDPe=q(Nh@8vd!7O zPvCVwlX2}`p{|?lU=*!AujbNFQY4v`PVYNw1p5SY!a+SHx2UN26JRBIHcmaTR&FFahoiP2fBZPE=VeNcHR ztERo@@P}7Q!M*-qhV-trY;cLT(W^p$aA=XQZcjt6L<<=b`4vnM=m-jqPz|*?xlsXz zj3ea@&Fgs7CE{C9xi|}Zh-b0Ojt0o@_KO57G${4A-R0ys<>Xpfg!Ma>hsRMwA>`t= zi$X&oltS74Hz`YsnWQ?39hWTg`!kV3GCm35yAonK6h1+_2+7P&Dnv(BYc_u9+1E{DQve;$h@ZiAeKDC>gFfr=u5x<>o_D~{`b(4ROJuZYo@&v*) zFmS_t=2b&Go_vTzoAF659VVX?FfJG=hp46|S~dZIpO>#Q^r3#RO^%h1wEqCH@r}KB zL0Uh6R}XUx0M%UY!v|GIZ4{0c=|;JzUzMJI;Qx^t(^iea@Y{XQwD|dj`1nAiYZCtq zL=nt+Ul69Pu|!-1mVic2J^vI(F-9y}rYdjj>_IemtKD_RYC1ilLJSM0LzIiAhD!i~Tt*PU92Vb9#?PX)qA2s+{Il2{^`0 zS_Do`;%-q48hdt^Kk(4y7#-=ZsA8so>7A8~n-6`48l8Q-bS=u#VLVlH=jMMC41d=H z#uN9+vha{~r*)C*Xl1223S1SJ+PADhTWzC@Q*aEw6u-`3zofYCR zbW#Uu^M7df2>)_DNiO|8Z=os0Un2!lWoV+MkG1Oj&=_;@S z#cLE$FgkCb3Kb{289;^iu1nufPJd$_6>LVFt$*K~y0|cQ>iD=mvw6wc^6fKr&9$B3 z0VwC|+f*6Gq{Pf1nHQs28V3}lV)+a00@p!w)^THWSk{!h@6hxj`#96!gO)|Fq$bI- zLZI8`G!1guBOOuy{bnNxIgQa&l z;X8--0nVt91o?$&r>?JUBJ=ki?VG-|j6h4*x=0y`oQbOSj$k@5oAiWyFH%Grl(;EC zz-tiz1#Ka`p}_Pk?!14u*=qeJ-mHZOE+Z@BZPMlb?&@-*OTH&^0Bw8uDlg_7l1?cu zxf14QdaC&{q9E!<{3_c71+!MWPXrG~y+K8ZccnfCIs(_=iAR}%{0L!a1wd)?qqG`U1Vpl@-MxKB0w;*BwFSjdytDChKZ!QT>*2V z9dFKyIQrVrNqi)tFpd(YPr5bv&>bmtdr)bmuX|{}M`xW8DBit+vq>O2iy3?s{ATPn z)By+O2v=fB7i+#N9rT?26XxD$+vo75TL{Omh# z79DQVZt=eAOF1VayI})op0GV9NRR6D>Q8NvdqDTG8Y0{cU=lZeDy({FczpJBuV@`= zeY|$mZ^e(^ES2kHgOa_#av@EDZM zVstAO*M-D(Soc#U<+5ekyE5D&oY>Y4ID%0mR_H)_7jaBIq_u1^8hqRBh%BzJo($I+ z4U6zuLcNjISdvad@zfKQi#niMsMw|W6wS$(Z*I(8uKbTp|3;J3fpRLCH}O;c|VLPZ2_#roSZrEE#O zJ+4j}$&>L|N10>PD(WW5XYx{#gSggCZ!L%iFGe#zn??j3aLWls|l}%iNgU#c7 z%9OP7!vnQ~3n1J3-F~eIs@15U0o>j2kR$CWf^be9n3dC*6vU>A`*@Gg!OjIb3>nGG z$qRnWYsB2^%nF8HDO4z+B?tscW@{u$A3l`AMVo#vGJb6Ffl1sh2HBsu_i}E%{=9XlE5{E5;6FisKbK?jlMo zimOE{+1tpoevL@!$t2PF(f0%9K@QNd-V7N13q`$S{LxdXCr9?OZc5WJ%|2QN(-W@3 zkOa2FOu@cJ!~6N!lHXW_V;C0uNGiY*($`7+EZkmZi@9c-F3z!!`xoeI8CAj{dP)Vu z?~r`%589V^xlUcZ$M8A6&_s&5-drau7CC^pu`bLff%til)P!gmGPWuYe|udc>7Ak9 zBK0X-4}$d)g6Op#wE4LWJS*njRp-|{A!GDLZ*bha@-ps^!s0X!;sp zf}h4_NgYg`EBoY3KVY-52?`e3Z&>7gbv%ZD?=ijl1XU?}6CoD~7PT%(?pawAsJ%u^QKA#-e_UYb% zxubPqb{d&#!^9W&1$vs=cKgOi&^oOYT4M(szzqmNqYBNYr|`8yz}PG9*^zEZ+oD8v z1>|z;22#Z|w42<2{Be)M(V5LTFhck@_#x7d)inkq;V_ZWOFIk;l?ws z>cxH#EQL!ec=w-l&ybikk(0DxQZ$dr<-}l%U2iuV;g9Jk>X|8kB z6sU_j$w{8Wy&D8ZakQjsc?uS5sLOV8@Z7vbAp{g~M3mRQfyJ9Z5tgYr$$lP3~_FdWc3?@C{&Y2#ejiPPx} zxdldqo_GnRU^9DWx_*V&Eh$BQnT?Uk>lD$(;M*Dpm$$40Iz|WDfD~cZWjMfn=n|tR zn;bJ7F=ffEMtsUnhb|OIwqZ(lv@DnS)t=Z_T2Z7)3sfscG!S~<;oJt4&GQOtYa}(n zX9HoOveDSJ75;Y1qNoi5)sIr9gvW6uT#J=ewRhNsEFV#jJH(csr-a|}ge8S(s+zFJ zrH;Mnx)NL#DCEd47jaWxZ|>p_$|%0cDp#$%jcu)=9z0KalcYUQ30nGr?reoDZ4s4A zb|s$^GYPa6hLb3%anA!E8IysD{|N2*x(R(1e~UEQ(WTJes02judqS9ZW2a@(DSt#; z^2C};4hsE+Pr_1Z8W>~qdf_=XG%oF3g1hS33JbPdlY=dTSU%nQ_cD^^@c<2e{Gx!} z!!n)*4QC8U5P*!wIgFyRGK4K|2#83sPl@0#q1-Lsy|oHyN7AI%d|WLLWVxBLzhCkY zNiiMX9YW7eto5EdweO>oRI;-(DSYX!;lWd+g!faOkW8=8laVOHp(X6RZI#o+!Q8G~ z&56F$fJ;|_@NfuP?1pqP&BXSc@G?@fO^W7-I(fKow7ScryCq8vw>AhQ^Y)#WSeXU@ z9Ao=*J<=O%wGq(m`F4V?E8F8Bp#A(2FpWUR?Gfb1{kh>a_PJ=8U%fGCcC%W+mwUse znUZM%BJh>o#hTiEREdM#2$WaE%@-C4K{u?qtt+)aW_+o;VvC}YF5n_b+^LbB`X=S$ zC%FUV6R0FGxz5#duMOE%pU!!NTy_Bly=A?|T^2F0Jva1eQx=z0rq9GMz zX5@{E*_>pZt^$-57u6T$lYiwZAdWm*PKNJcsJE)E7!a7ku2 zMGq)rm4P*e9fG6Y>d;++&5Rp{2#qFU8uMoG^xJ-1-*nt^pg_7BGpqwcy37?Lcjy($ zA0fi(#%hP+lJ&>apYu@K{HP&b>_e=2=k+tl7Rg4gx0Of#Y_O5t0 zDvsW@Bg9bB{bjHnwb2~W=QGOJH#s0^d_;Pr2b1k@$CujOb3$7*J8?ql7l=_KVT&w| zd0~y9lcCf>zamUkTB0&^Rmcz@f{B8};p}re==zx&qsj#*mAFpl+ejyu!kVevRmkW! z+b&n&?`~o{4}`bMWbx4+Ggp0nEHDQ>R+n4LA43`Gpmg)Q=Q^mbd!b;F*}6_c;qo`^ zA&r5~XJ~qR9Vp81);XYEJI$`dc5Ckmz5jcK|KiD{f0qB~%F67FsYeg{a-u<6aX(eT zqRRIx9C32cr3MA)!;dGPPPH;%*QG0-rZN?lkK0h%Jg>feEp~RocmfT&IeysH75HSr zON!2C@XoZ{6@LjOHXBkJ1iBIwYz-9k#H3axvg!+Asp%5@g>!PFWy9Obbr8PjW}U7}k1LYx zZSx?!i%v`yl<97HQ2t=>!O98l4?dl37#5-8_G?+Oj&z_ z=xDZAonfc=8EUra&UW12IGYpA4Bn6<`p0nBN+(+xqZd*akkV2aQbPCphUeWvz0GG(vVL3 zA`-P??b6BX(>Ivf_db>L9?Y`qOJ)8oSNAzn1wQ4hi@6zJGC1hi`ykFOsj%*Z&f#x# z_GeW$E7>J=C;Z=C5Q3@}Q;#TaQq0oo7JLLDZl;sy<;4Bm(N2BJx=N1agWvTccFFbM z=o6PGHkfbg95+FlV3W1vTD!j_hX%p=ix<(!?#iEu)~)wE`S%f9kUhK2j)r{5cF#sV zJQ05U9JtbIHL}JIOOQ3-OZMu8E_yFVAnp`NKD|p83e|};9_BjNfCbHr@)&1Uyfal| z=0ghZ&D+K{?~t)4lJP(-68`LLS?Y+r+F-Eq0_S!t!=PtK;;`@L*6 z+BKPU5z>7{&eTOfSVXTeqHeaF>hq!N?*EjHaW)j}M0Lw{%mAH8*Yjxz6DKXa#984bt(d$2n9Wb4Rx(cxhW)r zDTQf|=JNryZ&SJmRwRS#g^5=$^m2)4iF#kk#Ta=q+zUjMy9A2Yg_Oey}KX=D%5 z9hUMvMrAy7EuvJ13bgLX-D2&=g@D)E+>$Z*d*3>=;Ox34IK;xlP6Bz(L$iB?w$YY# zJnftc6#sjW9!9Uk(*^=&{)3F~)rfCDfdh*aZ#rk={cHMjX|P!fW51%C!GFjfklZF) z;FKV!FFkw3!^CBz{fMsdQ0Ku5Mrj*9e6co%yih?LPRsx5hU9xoy=3NRC0&llMg4|u zS9G37A;^m|Dj`Y67JZR;QZJEDA#9@a!t8{7Ek%3Am>`$3C<`uM74RixY1X5<89`BL z8+T>!1cz(wot_J&I>J|L*Cb-0bI_)8(P=xFrFHW?upOV<+9b8neo@T(W9?kk&DMmN zQB%S2or#enF{6r;q2teY#BJ=Y{#$nfDAvyaUkBM9e5_Vr}MV4m`(!6Idi%%Oo(4I zFq&GJG1@s9SUUpW1HNXkH8!P&`^TS2S)1C3S^y3FadZHHSo#0a_LjkMG|`%-n3>UH zW+sc7nYqQx%*@QpXfZRkSQevYNftAcC0WwS-*@NEot--y8ym3^{iCz;RCZ=(cU5Mc z=e*}X&Q>zEFjH`|1DH7zv%oQ_n7KH(Ih&Zd5P$tj%p~ey>)@>FXl!EkZ_$P2^W?v9 z+~>)nF07x0zb@OPfj~Vx8;ot6k*6@6q{af>QSW3q%|4!8ZnC-t`lZ4&hVf_6?{2kxFum9A!2ffIXO`sTa3VV8>n}i47 zFJ?M>)3PMf!7>_v7X`O8_T)g3hgoE$#zVQkddnM+9PioW_j8zaG+vYkGkrR#sh%FM z;l{16DR>Du3pj;-CycNtE&QSfZ)fK$Gnk6dWc;8uP z=;|1`>KqAp{~7Q!n_%*x__3_`w*6A}vFdzw^)o&UqtX}jES{p8%UZlmj@!dUy!O56P5xqJKL>wJnm z-qTdy44=nQgqhy!n18m#So{quvfg!7LHeCEUxQ_P{FK?xgxc4okF|c+F(UTdDQ^Nk zvU$ZbSA~sx(^4<9tyu|P`wX+KvAp~^T|vbR6T`zWf$!*n9~UX_lq`S71JM20tLVqv zdCHwG)9*SEayF%hz8)f0eTnrcU>|h@(XBw#_Uu-qbhT+m8Z$GH^cj-n`cstGY&pO% zrEW$%Y{om|wIY-mr`*g+f1nY8y zC1zo?-pr91H8Dcmy!PsuwcqYesVf^X(%N?DMA?*^$>e#|o`-}GHy z{$gnMh9>(Ii^nJ$bhXg}uP$^bKa#g95{*KO%ZNZwqux`e2-r+X+X>QEEMlCcyrb|o#f~gtB|ui z{^1o4r%$e7yX8at*@REtMS99BvTKKMrkv$C%Gt2<5Iwwu$VnG(S1x!7o+9so2`cOP z@T8f*uLEu`0@funaoS*DG?bJ*VxVKj#W~teb!I5=_;cv{&6`;tFv^I6Lm9<0k=y>dIz91d_O{5IpzcoF*eIa)DIREV!kl=lNG!ZrTU zO|AjmtGqzhWet`x;*|*A8~4127Di+uc}-1}$kFNDUr=UQVMfk~71wy7ZvMFy`sHq0 zexa$V*Xs%`3+Dml2Cqc&K=;ex8Y1IiliWhEt0hxL(KfGEC+XEh4Lta83CYdlg7fHgAOhv9zV?sE7M& z@r|+Xo@4#uuIn6~>nnctk5=E*o32appzY^q>5q#Z+?`#lUQ`HRi?JNyyiiG)R^hrCuM0^V*a493ib~b=+9M z_4o(gCP2j6ad?TLYjLPg;!QQ8C9F|?x^J;vbR!R3Iqz z(?dFJBzRlbOyegL+d$V%_Snx%u~C5;#>O~R+Glca8#W6!`r7a%Hgd*-&3hR9*e~Qf zBWXTcgnONzH8KtHbJ>g2b|c}sMslC1U*$T_eaQ~Ju5m0i>3}P@3CGuxmihxI29Vt# z-D6GV^TMwYd9k0pJHu)tpeu*io247cxC@rCLAeyji+PxQAx6V_3}Gm0ZOX^jWg#eHCoP%4(<+sB-N@*!jF<4cafrBrb>-}N4*3VaHeMQ zUe=1mu4(ExA&yGqb#_Ti`a0*m7^Px2U-H|nNW@Bf6F-aKdrk}k($YEaX!M1PIwKCS zO1@DQK7Ew68d{>N`k!7F0;xD%+3c^RM5B(0*!T_0#I_#!Xq2a&L(sAaG5&0(u9bP) z*1^k|YTOxA9njr|qAhp+ia4)O1(bQ{`^TWsZTjV-(b@GWL_HWx@VV|}qq)^@q*mT+ zibiG6;HO5~_hz7F&89yBsP1FYx_`~-rjDn$%ovu7*}KJ{mB~HflHpwh;esPJ9gmqM zQ?xuT4w|3f6k?VptQCp;fjx@M_j~1EX!qT0=^bBQxx+?!U$|Z}PS1 zO2kRdqJ~^FOhf1*zgI40Ht%8rvfG4{G11{QQb%x}WHfA1EI>$3MMTkqYYK!Z_2VgE zsU-EZX@GzlQ@!+JRWeDGYXSR)7_wMyN>UbYfxL`^KsYo$Ehy;jOdHc|EHAH~NyCBGnhGQf)R3D(EMhV+Q%f{9sF61p2i&Th{RIVm zwpf$y%*s9+!2WY0N?Bws(GHS_rQGP$8evBr0`+Qd$e&iDCM%ZYx7e^L2A6+S=P{tv zXSOrx>6w#jvd@zXTl~~sP;=|`E0@NMPaghRufS|v*Q%X8M*sG3+~+L*j6Chjz@Lxz za58y;w|64j>>iBs$cnLSLiA5zf|pFL5tmB7j?u&Ez?%hC6)r z=9APr)M3Q9t8GjL;VK?0HSty%hQnpB^$es;`r#yaI?BFVU)86+W|oq&4}3_!;7o_y zNu+}Dv)0$cr?U;J?X2-s=|-g4xk6>?qEm;#YS7c$kvVX};rH}JVAHe?!Pw5-oY*L( zB@{AAa^%6BNx%!u!}@&-iI@`k+`4x(ZS^=nz}fyCZ@=zS9%NTs2>j{ z=KteVRy_yx3)i&XG$LBl9cP2Zi%N4^=Dc4O;$hzsl#^j~;xqdtJ)`UBS#QlZG6^)g zNKOF*hLK%q#3CH8AG8XC%Ma0>*pLwDs0`(E=x#damt`YVlqPI40iWpJBue*o%;eMu zEkjd#?{*BW`*Y32TG*U)jlunK76Bxs%t`b@Af%tN- zfMm?-P=5p#M;_BWV5g*s{<1>+usO@W9fRfcr@QTkdjWRZgoHTZf|gyg;OCiN+uvR`&|SG5l~_i6DmU&v;;uB9}xr9dfBkZh{#p=kXPYr9YTqWz?6iDl_haw?tW3S|9f zoti0xy)hKVZ)PAhty&zh8xmER+Lg@WNipmr%fvNy6d@2pExY`FeY@Z8?!SP~XC_|v z`0|wM9Au_ImswpN39qAH9qx2{Nv%Bv$g(?iqRQ)~-IKd03f6??n-L{XMdXc9?@I$i zRmAMc(IDh6`QIh<_#k{8$3%4;w}9QvHW3lGq@~VAf|rL1gi&!cK%~9%HG=3-eRPru zUozNOB?20vKZai;zogYdUf93Vv>j+Su~?N+n@O|!QsiMVpl#fYb{^AGGn1@H)GwRnL4zR;u{osz88hP^OAfd0OeY_NUNlH5k+r628|mDyHZ4& z#hyYF1GKdqj4jMplRBjug3esQd*-auV63voS5Q+slNZN(=k9vaG84ZGqFE7l$`D6F z4Q7w3TSj&n^$2xk75}m>i^ub!PucAkz-mO{Desz=)boV((a6B;)VhV2_N#%<$ZO0X zlky}ElUv0da$`Y{l0NOYQ?9z`bws1X$*VO-L$6qNW)rV2L*6g=WQkdI6rCh;I~akX zv1MediC!M6%uooUKU7LkWW_~XF@^gU<^1jHeV*N>hX(=0M?qHaleVo=S;{D9A(kq4 zmrp8!XSl-E5F z(}AK)ZkvN#oV;&OgNgcRa(2=JqpDLL=X}8eZU)g zo}8}fEL?LY={gV2i}0vSD=I5t_w=k>D{6R2Jx+Xjwo{mvQll_yB@PZj#79Z#4~X!| zr*W+iPbKBZ7onWkMp#wF7{W4)G=eys(PFpc;5com2{+h597Jsdmaqy5k?SO~U3nxW z$;|8AXdtKP#Aez%|duSKcVxm%7Cq4!}AUMC_pO z5<011)!P7`@ByIBjg)%q_H*gTGDr%J5^jy21b zM;Qf+Y5Is^TOThdo@ku<+dCDt?RXwmFI72XH3j1NQk1+NB9@bB)3OWY*$BiTEYwj! zX~UiAYG9e$UWHPV$NQ9Miw=yh(Cfax2j!esPcPKz!{vs`Gjpy*4@4n3Rp)a*=j+CM zn%s;`7K$Fxyhol$84P-A^>wiZOuLrKF15rZBF1v6&Uy?-M59IzYI-3rqGHBI>2xa9 zdAW{9V%1%Q7JApCXoIZH#jOl67XK7w)IS)MvX?^I$j9*@1VxIhJIx!|rJ2DBq-Fc9_qU@TM z6g8#{Z4itOJ!!ncUSN$U$wfsMHjC3sE=2P)AgEQ8t+ZiJuI-kG8QI$OoEk#XsxdZ> zFbt)TF{&cpTlSXuwX=k|ywM~ibiYS_JpjXfT4OMNLENd{bd0Way7H-L6I)!-u2)M! zBc4(NCHR)4{cIXi)x(CS$4C;LS$EESB>UpG?VG0kpJ3Z1^US}?s8{zDTf^i&u0zJ(@^-7{qSVn{ypsE1L`>8^y51DZD+YuXaTe-O31^| z)HUg(EI5*4+O;xUwX5V5VS0Icjc0w9Wl!aG+F=JZ*F+HMWhjNiqja+HDl{Lp65-K! z%SQJIJdmbMbtHNO1tFK@w!VTMT}98Es)IN7`}9D`;Jk!zZmJ0tF_c8sZk*-AhoJx0_Drcivcy=k4=h^hD$*0$+(>{K>? z2D6l8hVguoJ&Ui`nP|P8zb|l8Evg9hq_ZDT6eBJuJnS;?s*Lj%dQMglc zqJvIyF}dXoWjTtIc zFN{dB?qn;6#gR54zp@7uje2hd8mNW~EzqXVs`Hx$1Dkn3h$YEP0kv413?^8kvM!lf zHDzc0i{&tNpow+rzt~Y+gct&qc3v^Wyyd(x_+-c#E*h+7C5XPcLENf8im+t zXhw@=)(&FmhBTx?P5D1^?hd1P>Gvx7Ruwd21sS$s`GA21fGev=bZ4*w2fsN^rs3i&RbY{y+H&f(|CJ)%c0 z<{bnDhU7rYCB7)EN*jnx7=zyVQ6-0Yoaqh5Qa_V7umBvH7|!56-AfZ9qlDnn$dddm zcJqpI8+=h6k=ELZ@*awV_e}-H{0ehuJWX%ue7CXmn8{rE{DEeslyoCjE}Y!NiKN?n zKvz749V<*3OgnQ?E`|=6>k?GBvY>^4AfG?81m%)aA^bCoR?IIDb*NRUUq*6KW4f^v zvrTIu=_)z83Jb8KFyf*kzDk@3dVoDDedsXqhK`<8i^A(giBa@zm-*5xi%Mp>3WnCx zy?e1c&?kR-smX)QCaD&i5B=LZb>EUgWFF!YQl=%SE}K3!ph_yTj&vkr5-MDjYtk*Q zb-iT}Ywfse8`$F79ux}zm$F9esZ^^@_F?a8JIzuO~etB`K zjlcMtLlZVhyDk)&de~eE0;zhN(@atr-aKcjhY3Ck*brciCj!oWI>`!W7P< zo9#(jO)Oy`l37-g*+oF9oY@pBK3b22UrBbTao)M_QSbcEjAkWduSQ|B44Ge)6z3rf zv1(#Qoj^1Sw74Ld^Dpbr(2+@~Y9=6eY8#QHcQJ~(B9e~gWw+Ahu#Dti96g;G)pK4!^1?<$vFt>4*l&AQW z>E2pPJlJXI~KA+X*P&55r&spL-~yBQk* z>ezLV>ZB^At(~_`?noIxm3ff4nLMRX0VyVOqjF)XD-HR`i6V@<=sdV(c+9FZpo(nQLEiY2f&7+eAq zjK*tCm-Kx`KnN~D9@!UCWUVc6Pr5@{b4O;s2ck+L>=++}W|IGcVcJ@ZWeOS(+bRI0 z-cnM9WL?EmM%UI1%e@d& z)HO{|7}n@s#74L|E>7}cDOyo=vU45rLuNoKaW%KxeRofSBR?nM#<7+-k5Qw$Qk4qR zr>^8z2PGeLGa+4O8MV!;68QqDxFzOJ`fbOzZT~#2q=uJj4wc5tvS^@Kuoe+}tHApF zycTMnLR-tArIppP;~6Uew6RH#_WKL`;4&u7NmD>GVP37W$w;DC+pCU7&G5bEP97$m zPqR{Lb#dV_Q?f@&8=#d+J3*Ns#Gn4T{Hlgpb3UeRmuV<^LC?Ldo|f`g#pWbOLv?Cg zaU^b!1vEtpIq${!3<>$WgEuY_mqm|p5`P0XH%hFkaull05R%{yAB7e4l*hnGban_2 z%~y890QF|!Yn7a^-EQ)Xr4CtIU2!56${cHydD+SHJ%v2I8orNC@n~L!%)H*A;LF#b z4HnmRm*`8l@F86{`p9rp9GE}worYut)p~jrP9oSv>hYE6(CPb23S|YnJp(8%nXnVt zqui(nv1DMbgepxgzjT1f4z79a(gD_hIKkGzpEPU4BTkmRx7H)~71e1EOLBC4f(#O5 z#VnF#rA8)LD#;Ei%%h6#NO~~!q-ahPU~ZB$n6WIF^D=-8exD|OnCVF;Zp4MpNQZdD z8I79KZ&(r4xhHHqW$sxo6W&T_wKJ%pf2On@o6MbFxZc$`0K!<)O%8bEVn=ojRMnJkXIB24gTrYEw|VPWrg?V zt_vWZMDu8Sgz;RK_V%57G4I7-eb#+$#>p+Zr^GSjf<|TLk5Cmro*lDcTA za@sN2P^*L7oFkhz+BVO{n3vLy{`h&mTYJX7oS1%Rs%i|%EfF(W%lckzH$ex6%huK- zGm1XoJE8r;4kJcgkg*hPS-w7;uEZ8Dy>JV0lC*Dzo)ow8w{Tu;5%>iSlfJ#(}+P`N}KqwWwb&(FpEUf9zz!fx5247F{%K?#0Oqw$sT$T|0R0!^p3) zIMwo1wbi>b?)b{;diekr2a3>YR&WtTRNawNTJmy;B}9DeRI50K_QLa>4*Kt{XAJ;xwGPd%&0`1bPZXyR)_p5yp_Y zpvr3%dg?t58cEn6SKnk#<%`HciM%g?spP4*-xwUwb>6>pR8jgp_m(Ztpy@K* z?Yy$8SaZEf|J95FxKVkRnehx6Qb;yvfM~@Izioh+XN<`U0?V;W`4gA>O+HNUt7$~R zObSv<&^z-_Vu+qni16P!c>vx@_@2}KWojhpP`PdVK?q=2WyVE{&a7 zr2WwV_b`ml`b|ZXinQby6vkj9e4lV=sxrV{o28J?4F@C%?|cY=Q{6zsIl@6VX7G@Q zH`M7u%G{3@Kyt8Z3ySxFIb#@{2iY`h1`~K0y|+YQj1jEFV;@y{!iX-xfal@NWCgFa zPz7Gua-SrTGb*k_;&G>5$Ss8%E~u|jSpC3^-IQQf5`z3S+&DbDFD1!@gVz|%6%#5J zf^=NwLDe#74oaJaYh7Y>1jCdL7^l70X7v-^C9-Gra5AJ8TVPJavJ9FSoCt|!{AWi8 zQNxt5BtEtoi;; zX14vyGZ1g<#TEJ;EQ*6;14V{({+CT3(St#kp}@3yJdUM`=Fqw>I~!g~>4!XREJj0odk>Pp9od#}@IjInrARe)1Dna4_Q4-^qg8%b)RB(a!Dn$9aAJ>fUBkm%b?AY{|pmMzyL znC8C5^P8o#!vmYscd=(Ts2Q`8uzb>f`v!3ByH>p-^tNlnP1MRqjSpGqx7Yrh^ovI!f@whpHA14{o&BC z@}=;)F*Px|sJvp;ct@KbPT6<{qPtb|(VVf9&MGDFLYb#2KVeuSFgY<;L4tr! z?Xmn=E#85KT88H7D1SRb!s`H@NBT>prJ#0t-$f_Z#|jLdp-n1F1*OXf0q5?^8+&ro zGO7uxN?!{axczEYOqkEe3&K1HjE(-6N3mEe(eo&Ov$ck#aE~xQmqYKLDGrloAJ%;* zZdpH9eML{-gd9J{_ur0s_2EByC6Y!a*ZVv2J=;x1gk5~!2dpv51bB?aCKNklE(p~8 zY!foqfU6}%gg;VFMdlzxvkOV?g|ne*tP0rGipV-Sna|uE+qk!&WWW!^3FmER6Iw_V zowm#f78dB$a9H`mRDPxOlS(BM(*&)o<}njIT#VvFNcYj}dhh{8w-3kOTO2@j@vH{t zmb4~We~H;_DZo_Zw!^GkwrNQN(DoTd z&_>b{S_{&XZU|QKkFBUsP>&UfU!ftFk1NnlT4!1U-BM?1>QkQ<{jHRsrRnnrpB$E} zD0tfMghgZ=`!!J|2@Orn6w2<-<5W+akP(ChLjnea8!euyz(6rzd) z%(Y8#GzH?i(QV#X0(;${p*ip|%xZfZ1gl#HM8CG7A~$<|)U(cXg&l`A*rgss?w4;D zkEE=*yekX1Gng$3Zp*N+QaCNJB!(t2@`FVKTZi~7(!7eCT1oglUpcWZiGA=e^bgJr zH<5AvDj2){@uvafd(cH#A3Q2ru2yF187X%f|E;(%nJ@%3aiK6=rGtIfX%jwu%pkJ# zM~@U;NK;p9bZomxjMPOtFq2*1{N1kH2~Tgn%`Hisy3pLt_JrXKc|zOnHWBh6`ru3e zJVfIT8&j6amIN@9G{N2QOv!GPFu}{CQU)@~@x>pjdb-kZPrDMwO6{a^HoZ**cB&$J zRCLPd1%-VHw9#2s1mpZ{o}2m$QbS{?YF==NFi=>hfw-pezJU&xo4bn{>vtD_l5iu* zcD1zvoJEQ;Rai=UJ%JnlkGMeqo3}@5eaJkmfSO+mQu~VZ4qVO8U!t^d>Tz0d)IHt- z;f7T@DU!{pB*PJ=LVMJ$Mx_~)v-BPvD!SKVICx9uQdL`$6eR^Yw{J*HO-KVY5LKjh z_TSgc$uxK>NkA1KAxj)p$g4n6f7qdz_1Wfp`U$CP6I1gKd7X+gu8-21-fF`8g$s>T zg8#Y;*=A%=`*pMxNANX%=YM(&M{Y!H$4B!H$YN-4j5S6IhHOy8YM9h0MYc_7!BWRK4tj+gCk#oP$;ORk@R|0GT&U=|=vt}yFG5iesp+*Oh7C#x8bTgUM4=Y6<;`t> zoIsr~fWhwYfFY6s{1{dBpEQbv)o+^5@oMC>Vt}R2g!rbvK8;y7G<<%goO49{{hDHukVi0P_IvswS zG@^U-DJ`Q$mG0*O3Bi&|&jhE21}$VW;VizT5?6)t0xqo*JW&cRb~Xrn4fO}{^McUt zJ#U|D3aEczZ|{dQk0%OU+e(o*8bQU|PYT0D;$&DI*_Jtu;Dz1;77KVJ;Z;HoF=0Xo%K|Y1B z<4`03H{_K#0q4V<4D`388XOm^wNr??wL&u;+Od>GVEyS@4uXs#s0a-NAE)}3IwOOD zpS)w7iycIdi$h|6kpdM8Dl&*-lPDfp+4*H=mydcUBC%HDBdw+8>Z=p2Jk42AU*k#K zq&E)PwDkp)Ur1L?MSuwo?{ru+F&2Wfn6FGu-$@5t8WD|dYRJvlWqrWu$J$5Pkx!o( ziT~rl)173UIb3BW)sI@pDCi7><`<$4#51hN0Hf83ciD(Cfye&0ITE=?*p(jvXO}v(%f8)BlPS}3@nD_ggaqG$-V1anrx*Byu;5(x`_QS;6jWaAJ zQlX3bH}`kol2ai$644*I8Wu|Lrm#2XZ37Gl13Gk|BSj>WKNK{7@oIi-0ZqGwo_~=A zN?Gy#i_R!Zyj?AF%)SpVN461jSY~@dhhM( zN19JT(IhL{gP^ak6$PEFJcpGgU6#n*ZOe8KXP9Ed{WE3_99-&1N(3;`AZLi{Ylt76 z%;5wZfY<~x$6TpG((t>HADw_;2q30DTa^0o(C6klyh5)Zr%}aKAbx4?8^CW$way^U zQzq8TdOPj|RBy8GzsVNz4}$h=F{~bNE<4_uP$a?9yFO z)JRg|u-ATI*?5$*V75rS>#%iq7eZNgiH#nl(-wAV$uD!K;eR!V4H zn3>R3;rRMl4(Q3lZ7c4PX?B2|-eXr*^+g{xiu8iH++^7QJLLVpBo`F6bv1Lg|I0Ts ziJ7@unV6|aiu|{{_J1PfQMh3c9N<$Fzd^TJ6$g_k2B6f#Gwz3`wAq{jj*PypYbaB*y( zK0ZDIxJ0IH1i^TE_fS(^$BLNk4pagQ z52bV$gOtEPrO_}|8vvDzAT<%kfDZ`#@fJM)pFczWxtJSZ?7M< zudZ8M`K@++Mu!GN47qB72C^4vVO*XK>Y<@e0iVEdP(YEiKnHfr%^^O$Funz^4(YllGBYUmi}18(aC_MEW4o2MvMF{-Vj+t3GAVvpl=woM^{Po{ zgB(0jFE0Mhl>=eM$TFNhqAaqFVim{0y^OjA1A$2e^7J?(#XR#^=7V^aTkJ5jQx3xXXc`@?yjvZgLyHTcT01%t?>G1<(- z56UabWyPka5s)%wP2ZkSKK2H9tiDeS)8`fpVBdrtt1BO;!iGj!c87fp(n@4Bg$oT> z-U-0rq=Lrv&$Gd>bTb6;3*%AhkcJ+2;0F;U11Gl^^ak@g(?wx{8}I9}tWBzSNnrJU zKYAg8*Ne8_krO6WJ$yt+Fmf(gDx!7LW8PQ)rj&JtNc!PkND5*1eB#sD7?jY>pG7J8neti+)WsV)*#;=dBQu=gT$^@^eq%)4Tkbz%E@1#+^WQYtki zhN29CxX8K!k4&eKmynlenF?a1{gPI7W>=n$Vy~E=j31L^3R}iq#@H~rUyo2UR6{sO*qu*>QxMi^^vE8u=ckG9qvwO1}ob^@)A3Zc_&$RZmzG(;N!jNjsBD`q|NXY&l%KlcAboHletd3U^6KMbGp zpQhktcF=`=p5)AwHh#|WnE6InNu{!@D$b7 zT~sj43zTktE~qUi?U(G= z4VWC5BmQ9&Bb+l>SrlE=Z=7#jvSUJ4o%C&3F8ank}+{uvREDx6Otq1%aZcqKH?eTvKdWeu9L=; z-UCwGIe6w}amW8BQ!KCsu>f!x<_P+fT;l$mHH>l{&qRP6ZGB!LFT$zOw{7Vmqnz>nVw;I5Yfh`{=DDy&-*ltb)AfmtrAQVT39Qa zdS&XZC6_BsOHYIF60#3_Pkq`i@_vkMtoCo)1uTNbfsa57e8C{-2^fD;vZ)oe8!`U5 zQ!_k!R(#skZxLV^Aa)^jlQb(CCRsK%l;F0^x3tPt$(71E6qh{OxaTzH@b>FL)Cc|B zi4t2$=WhsZ5}upgvEM{j`3PUvy`uf9PpIAs9^2-0qIHT^ey&8dm2z77$oXua1TN+g z&JZ#P=6v|x$3A9dH&0r~&L+)Z=H~Dec=+FnjE3FBL}5qpYPt$^wd^nC)iu;@O$BAt z8{Bj{S8epZ{!!2PW>LqZ&*zut*LxBE7Ps=HJ3rm<+~4Y?^~$dI#IgA;eXlmY57O`G zMgNs)>#@u4ApRo{A3O%?<&v?_=fmJ9|B2t$+dOm?vVq{VH}{+6o5}fJF%_I5ZGN?2 z?c4J2Rr9Le`}4w8quJ(2i-hnFQKpZy=X%9q$l0n{I*AsEQ^{J%+1TgUP4CA0k?X10 zjK#gMewz2Tr?mNR1^yndy%vB8;I+;CS(c#8R%IX0%gUqOk?HaNqKDO0c}4Wrw?4tg zptqt|ll!rxlXJ!2ifILLf*!uGe{MY~?aU9ipF;2c8wu~vZPx!gAy^LPe?uJq>z+tI zvDY3*j1uaT515j58gh?jhoR{@CdYnO&ix7!-WrC%WEltF?-$68O*4WuJq5%SW&$`B1XdY_1tEttb!&`1x%>V!c@Lz_+&l| z^(y*t5@~%Ap<;GQDa|09 ztLg+)gbh2^`dq9CN1Vp$H!P{k0ymI7SMqL+Z@f>NqTfGwAsGyN)SK{K>{XwXV$#9# zuiL6|0A39T36Y*n3G>IlH(L^L&PL{*O@E&ydp3 zNLhu?klFu5;QPnLr>gG8XtMuN{lJE_wPxn)MJk6eXY7i;A@7Q6wyzLU$7F9^D9LsPL9Lu6S-Y&&}8Vu{4A<#|uUrschZ z==iMPIP$eJyy`e$@*uw{FYUG_PO4C3eaiDDF?THLkoGH&4^qJ4?7L~~23WDOlO;-$ zLYgHh@+wJKR)eOtf?=G(8~lnBsX_q}p-z%!4E+L2AuKI~DHF7y7P3$%C-gQM=p0TB zPYcx1qlEktd|OCrjwxgnFHp#&f>Q#^Lp}B^B_*ATrHvxyi9tMsZcj*aEm~xO7U!i@ zDNox{OV7Wk5F{cXeL?3aLrV+-37muxQ2EuZ_NBEN#8n5cI8ednUL11CqGd1ZFqisD zs7SzM9$ti@79BK|RAy1vs2%iek$}K)@FeLlom#QA5RrKaj7A2+kwNtr1GS?JszV5t zSka*oF}8RQq5>G^4X0-V@neFEsF~APSt=Ri7H!?vG;tdH5g%iEsE~4e}MW7>O+484$#YB(W?|z z&i)jIWA{%Db+^HebOAak=CU1!JW?0sHj(9Z?4RJ?fFeL(MskHxC>3xl6JXo~StBiB z!`Cj(Au9a}MIuq*WSc{Tq<}4~tVuDx|1}ud%d4A?>(hg?nqtjD*eJPt zkZO9-gp*P8m2fti=hZ~NesW?ymSN?tq{-^rNwECsdX42;lkMmMU?iHSvQ0})7eGT0Y!CHIo0@&y2*0u?ZyM!%_b-Q0_^jBTQ3#H%C_qK26v4Xs&kX|r5b}& z+lM0aZz<*U>rTD)YfcY+rgmokFH(!c?`;HVtZs+F>q(#JhA^)rp}R*YKpu5UK$LuQEm2$ z_cCO^K6Gqi

$ouZ!Bo(?r zf_nw5F!2nv()t?0QyU8l_qgz#mXpjGO;v0G^#DPTKbNNzcNPGW2&FyG z#|;6Kz_kCx0;pIyo>R{-c^73vn-?DJq}-G%&B2qgGinNE>U1Sc5e|u!N2PSq?3Ag2 zZ=oWEfal~{TJa8rj+Cs;T2CPnTSy4R=1oum^abU&6cu&NYD9I6PPzkEb%u#+f^Kqt zn1%jSw!zdw+<}5t#E!iRQgY_c-{aj+ zf9$w01%LNTe6j2U zXqf>{)^sP;-S5;Rk++Az6J@`#Ri^LmG%Pmd?MR(oNbfvBdIQjyZXkp%N$78IqsJQs zzu-S$v4ZQ%E&{pNt&aq|Jhw}?0HB^L=1W+m__B@Q4v+nCytQm?-hazFApXVWf?`EC z&RC{EZrK2h6EaJ?Hzeft`OD)Q+`8^4hVHnX%ny|_HAv;qsq0TBejKxt(5r(GRaIiX z&tk=OPp2p4-c_ddZy&kuPApM>0EpyXWAvG5i8|CGeN#6>48Y+XLM*xfa)Ig$rSfe^ z&j0z$n2`#P;Qu@rYt01?d$v0+NyHe|Yq1s&+wD@iiv(u5I38qpA&%}4JV7?L;D-Ig zrbNxM@Ddeh^*shkXg_wxnQtx`>-%2dAx3guTM0C&5sUxTPHLu0i!U4{*-Q&l-J z#`KM0C52xJEkGYkXsO?XH~qI_u8e$te=P@^Y$P-EUthRoOqHVv^aG?0dhUChY4-jL zj)U_;`Ce9Txl(8$_(S~PpJ-r-JPJKtIF+MhfwC&q+otqb*4tS4{4Y-T2HW!Kk*y=% z_hknyuvkDIY;Du5ong)K@n4H-x(kMEd=eK?gC(ihiGw(24}Jc;Jgt>T{Z|@b-Bc9$ zfH82OISa-a8jFDQhER=`du03gbpwz+B!w;{R+B2!Lf<(VCgL|wqj%p}^7EQ7ma?eA z3@|xQ;l-Uay4|vUApDfs@vSN%bv+&_U>uW)L1S#trQx1J+(_74+8vm_zOgxv=g(6B zr%vmBf1REdG9E$px$kmy@|=W|(u#`U{2HWWc>}lIt-FRP0Sj-FB>?g|d9hF(M2!{T zuhw8%Q)XVT*Q#ig0>t)M$e{+Zo-0(fqPZK*O8oCZD3OI^97D;wxNgdsdG5b$&c^Wt*>81tD?R9)>55V{$*+5`_@lTsI)60=EMk%r=*ag z&^Eeh(U=JFfXcYm`3LE91t@KqIDFxJj_POahpIQCnm}fNlcU$lmq}Vw^cRqbnY5eO z_Ro7jAmNV=XEJGBDdGic=j0ROiGB4`Kl@lIH!f!{e9%H^8~o$P2M0XL>~%05%55o# zh9Cl-zwGgw(PB<|<gOhvKE*~`tr?o=C>yub}8*IXa%MNRU%2+~4t`!p+z0>&;GD(8_NP0`3$FK8}sf8wX=4{(Nq{kcec?zQN4f2XSN&|iua60mVu}ZSI)xfVX>eV)# zu2=r|Y9djuN&PylXz>)>yPD#hpdqok4JBu?;BdJ9VS+tjQ+V&ixjzB`-4azmLNJ#! zhgBvUvTIUr+-qeR_q>q<6xoTED~{)pqYffFGA*s!N6`i0;9P*kZ?~K*sAi{{Z&AKV z1)J2}Aih_i`(C?qw^})BviX+|r+- zg1iQyk-6Lb*s~6j5F9IG>6I8yJZv}|UEzB!@gS#@mCfe|F64oq7@%L)B5lh*M{opG?w5`_lTIcUG57}Lp~{*NA)tr-uF&4)`d-=%0T}p z-_rl1%l@-$=1SWp%7l_)BF?%)S`Mu%AcEF=bB{+PqotL-`J*OeyK3mDtBCMOxSYCF?9m3p-ns(lnnB!Mv zyC+D7_r53Qn~N1Jivq&m5_P}yFuWVinZJE98{ioBuFNdB05NTW`b-xzQE=CY+alNy z^eX!5z`XNYv`f!Q`iUI|N>V#-J`naPmkh>$ra{%vaDt02W>o`|Fr|i-|gMU51oRV*u%vkMd;c2hk7g- z;!MbC{e5Ad1_4Kv-iCYilOMw8=2PC-b7d^w|H6JFFBPty6-gQd5!}Rqtn$Y^D-$f_ zo2$yveyk?9kX-;3Es!$$M&kWVW~u%~OVxe|cHwRx_NHmO_eI&D!MDE$_ql&)%MXH^ zmm4FQG#P6ZjTPdif@WCKf4e+#5c=%Lmhhte)(SYMw8BZRm1{e%EY`AVyFOzJ+*{Ri z`UNf7_UdIz5Y7DkSFwEZ+rfcmd3~g^=j@^oX$kunzN`+!fjtX}(3QvO`c%0{GnT^^BDPM5N%NtuuxWM&lR|vq9jS<`Z)An? z+SgE9{7zE+m8&)7Qu5r+POJ*SPmq7w&US(5_Nuqpcq8_Bw{a3AR5eY8aqr;K)~e@V&xk>1#(}*7MU>l56ROs=(2q=Sf~~WBJlefgvi021^CAYyO?Q z051Gu(LF6quz<=Jb1s|?`F5)}+r5EufO$HogPgz#8eUbsT#{EmwA`?uqsC2Ln&=m^ zB3iI;jkd6u)U~TW;ASwb*9Dih0VkIkf>Cz&Ro1wOPztF00g;>*Z(eQA1~2zsZ~#+d z&nf;RF1_=?!U{v*T;lb|0tJ0YV}gIJ6pJ5C?S(TA{|TzuH#E2|?jE%kpmH2MfK>zK zNZo%`IU{raLqx@ytb@6ZUixQtD|Lzr?Q|MS8|dZ1C}N+lYM9gVlb-~&cG(TJr9*13 zA_%0t0<;ka*#GCRpJJLJ`9k5Jbpt(AI(>{;JK$1d9BK{HO)TY44%3Lymr5<$A_-!)$bKsZ#L}h z+@VsyU3t)-KjAbJj8u7LhW@`y+{|a~jD1%x^J3#B{n*(ObYT4rdZiy0+I~+@etV&* zQGH)$yEeDH!5^R6LYRs(n289P8EF+p0{L_uWMU_cX(krVRgj`W2z1Lw7r5u#wXk)Q zHog@Pk>b%^Ta20er1jm>X|Y#F4a-d{E%OW)eYCdN+-u_2fsggpo}Ys9j?qD{ zRiVich;h|;dB+=bMMnaUq@^E8FPGQm8z1qqnX z+aM6OCI4m}P|RTKX#|b)IkL{DA`H$+y?!LXr3-^vb7dkNLROQvRI9rLHX39^zjq0+ zFe>U8B=^cY)e$qdXpR%fnUs=CL$vx{n?0t+`|Cld9=aKan2pSDjQL*g!d9twzBT}7 zryhb5bEhIlo$^iCcaTc#rBzjp{0e@=;JRr}5gRHA-Ts)|^Roow^yx|J%a#SIwAZ(e z=5^uJk}RheZKGup53L5?al5wT17doG=b{#^AwXL>c;i6EaPF{B1?g5@KsT&U8y^+D z)vG?|;@7{c6^j^s!b|jdwy^Nea!#PJ;7 zG`LHtgX8ijJBgQ4k0g6bWG%-5{~0shopiv{cN=mZB#dejVZ`1z8JTghryMGheqz8A zuk;2DhsvFBopkS_PWLiP>O#4V?!&XqN?X$4?4`C=&Ycf9kgZ@(7fSj-tXc;4345C3 zCnkz(*G;O)Xu78l76HC5bqfSHi55o%Lj3>BgaDXflw85aiuq- zx4wKRJhWb#nR-8_wJcijIlIad{qDMAtz{MyksN)>>0f=wt5b4BiReMy{k0l)Aa?^9 z5Y62&a(0i3TygS(m!Tq8?D97_HK|~n5ppmwT;J*umLCd+k(d?JVg-(%G9jA$3!;H)|@KnNs?>0ylh2ZF3o z!#me4QHcJh@23AejFF@-xQ?dT>1}c+(<3sj#FYZ~mR~sQ>2KcC$C-4pmAl`4XK-zr zA*s%g(Wx|dy3#^47gmariBIusR!IR>o({B^SB_q5=GOuf>7254-K3#^xwx~)Jl-F$ zRnv&E_0c;r`&`MsmyaIZ-=y`QK=H`x?86=4)vaFUPQ}six8FI>ZE;fQwq3pAS>eUz zp%%*Y9Z5|VD*!z@`PAW9hht6zbN-`)u%~?^62%hZh5Q?ou#*68p1&hF;t0%r++bVT zcIh+;vsxz)%DGE94P4>sqjY#f@*TIYLM>?UzQYx7j>Sx|AB^y4mQWW=7He0`uoYK1 z3k*=n%n@(yMW>ek*L&H?c}7%_HQ2;}!|y%4^vTzmE=3=s2|^_%w@81@>Y-gXtx+FM z?YuN)+=~qN zfllE)Tg0AX8rkQU+So^O)9Cp^p+Ld(%k@5-l|NUud-K5$x%rbQv*GU_2 zG=-8_$b}aI`jzs^ivGrFMCv?K=Zv6^hzK=&LhK;>{+z^>RnwA039au?RuplE;>o!D z^XQR=&R8N24&q2nn^&~Ff@d|lzLiIpBaSDg0Es=6j-GFwoLzsMl~=SXW;~kd{A(k0a=et559#av{+QhCwGk?9E}Xwr)|<7{vL*bz z79QhG<*MRt#2v)spqMR$VagdHu#x{faDAPnVUmvPF_25g!)05W#Q2~^)66xWY)6sb z@(ul z#jjOpTe>8YIghH0wYu_=95(|mLHUe1@6{A)Y6BYQfU?Pu*SX4%e0^(;rPunc48V8S zU6Z$uj-WDCchYGj>)o^?>K-^ZC@d}$F0dI7cA!+35c6az)mj^D%7pmGm{?QQs#{0wVkc`i>@A@8;e)m>mE4;S**u zYwJGbmEV|BSzR_-VZx~?{Z7nh#^iht_npug>)V)c9`vsoSW}PZ7Va`}5YywjOhz0I zWKzt*;|5G;|8iv;6GaNI6y{Tt3SF{Fx`&*lw9H)`XVcOCZM*zteo28j8Y?fGx)Jfx zOjFzAtBzE6PBnNO9EMg&z0#(*|Jz4!>5pgqP&1hTvjcmSAV;K)-a$lv9;W-(Z(}RM zB|(h%e1*VFxDDFrp%RptE*KThmGEJi{q$z|PB5rOT}IKjwGJNprfFs%k-qOn#QV4D zIFSY1$dBAdMx&k1D)!sw$L~YCtMKt3kocjB6a_Nd?4nnJLQD`-!TY0gqM~u6*W+G1 z@>(7(xPqTdSr_$eq@peQm1CSs^TJcI>wQ7I8_2oKRDw_63|l{3@fkgZ(+-H%`AJ8% z{5(qHZ;L@(ZJLC7#u*7-QJjw4GI`mlNGW~UI+XZPyr1>h*1LH=n6T!%ol>=c5plc< zQ4Tece6BFuex;6@vJ>Mrq%*4NxIO9;lQoH+MEA1OkD(ELvnHJD-}avBC}_Cvng=mW zBJ5dWc+mRF@$52W@?;uGRz-C~;`2nFMUd=+pd#mUX4}VnPAi6?WOmW)$;2{b#^KgB zS6TIb(0Rcz!!#bFsYJw@KMo6n@8{f@xd7Si?h2tE5se*p>T?@C4*{vmDKUgXZ)#8z z1gpIA_?KJex_zpTxcBsv2s)AK z3assBeZzqm779OBT)j8)r2fJ9pOe3t7Iz1bjsc{_R6jn1u^1JO-McZS_K5cI>?vb_ z*Y>;no39;i9CD&_bPTQ8%FosOlt3@l0NpRSzqn+Er~)C zL5{Y25GBBwh;rE6LN@Cq*=ML3Aa07W;gjo(a(bgWRnyctNK0hY9&hNC31jRW0Ylf& zD!P7B-|;=ik{celT{U$^>xo4mL}#A)pHsIi7SxLj|6aQ8k35(7?-j@peNWmd;-wsF zq9iRVF8=XDYUshVP-tcS>Ldaen9s{R$>08JSH3l3NsiR~5j_C?o*>5ZUHx`i06`$6 z*d5R&l=8jA`$mP17d?FMwhP>iwXX5bzCkEc7n=J{lD8k>SY9e-==j$C{*$9Y@zvF` zNm{Y>(rC{3ZBF?#G_Y4m*#BAu;;2n$%)W;pm(1IY`O{^9vsM z5grg|>m}Y_ z;?d_YGfm8a;98ZZ;+$tq#MjcQqG+Xf;W-S0G7|-bL*VHAYK+G75Hby_`iD!rL;0Y0 zHk$U9Dg4tPBD{Umcmkmlhz)z;{Va~-SJen|Nn=`-g{*q zdq!ksk7J*Zoordjrfg*k$2eJabW~)Op~s8o!3(-WX_xsDh*rDiBtG|8T4vu$r@K27I;PJgkYHjXYl;>s5B4loLb)>g}I0 zaGC{KWLJHn;=dasqjt67lT64L00DJ9u*=cdauQUd@XJgVSrb1`iRp( z=RSd-n%5r2NivQn$%)4~uhmG0V{}oJ$hOSe(CQCKto!36xyceE+FoW|#PZ*72WeLW zRzG84E8X9(KMh$AGHV$bhNwnD88r^sXT-)|R^1`2N zL&;;n5PuI6&md|pNF;aww2Dn{-@YBV?Ux3Gtlkjgehz4tNT@l(x*1A#P%l-MA@VZr zY6;yz9UwwcV9{Txv)W_`bN7B&+l+1WEx?TUSZ+}b%ZiUz;2Y}ly6+U1H=^`$2AqDQcZ+@qc8Whq607+w{ zi>g9^aFHsp`&YwM%)OapHof^U8#njq{4pg5J>y*y)Y}njwkghi1wGowV1ZgYytw+P z^aqeP1O*N2G1l0!KM}Ftj=fj-xsN{{ua<6Cl0nkXU=SHOA2eYM@##VQSop`=Q6QP2 z{h-?afS@h@gA<6(fMP#D)W|N#x7Y$wpp2un$22aK=6r+bw*g)zW6SgkS7_bRN?w;& zrO4T1%SmOh%$c`ZnyFRH$yUgtfR(#gtodRxkL?ghstLr~cpR(#o$H9aao95Y{az0h zq+=WbaUEL!_O3Ur>3ZYB;}3R;iO2GLg0g!na-Vfk@{FcN@U06;=BPYg`Ir03Xps** zl`x-5i4(%b;8dfjAKs+15j|$fHWNbaK+=7!f?||y5{EB~+ z8VCw`4?<>0Vu0-7&=^QELGnyw50yeu^uOaN$H+}6#xe8aD3jx24@wUK0%5y7mFSs? zlE09U4+NpiI7veSU7)|q2H#Q$ij@N*-EB!T{z6(|qLC`=WBs1jf+KqDHA*KY{bfMT2b9G>6rz?C zwt&i+CTb@hO0Ti;C_aG1w~&$;7g`XQ8nrF8#YXjbBzE;(VDMdBDg{RTs-v^jd_sZe zFZuR-wA6hjW0M#b%@;O#!aDwv&Wq0^BD@!i+L$c+rOM+e{D)<+sG1@8+U|Xwcu9t9 zb4p))0uMjfd)YpAm1Qq4_LF6$1j(MSrn&XLz`%Q!4>Da9jVEpb{Vot5I5;|9jsY@* z({j=@-J!mhf?mFF)HOzbVFO3F(vYrMM#od~E|Jl>t)prI45mN|BZ4@-S4GVYYzWiU zMzUPe!a=ML84M_GJ0mA8Z?#DM8{FN4 zo2Edpdw%O;^&Svqs)G09AtWdnl4yGHgP}AGh^9GD6_A&f-qfK4QjdwvSuasV>x`e{~=XItM@Zg}N74X#bYNy)%ooqyJPDN3{AmKGg zQagr%UZG%FDCGr8u({m%;Ge|FJ?Wr`%?Rpt%dBbyLcA&D+iU@!YxrBdjB-*7cY+_~ z7anxl;VKn;K}&wD@7n8G+TKM?yFYpSxpKBsa$uk}Y}w>We^>Cvc6aJ(1m(!{sQiJW z%#J*#nzzb<(rf+y#4%U&WxtlI0GGjwKc*K%Fd(fdnK0xO0&z{yp$LL(Pi~f;e8FW8 z+Qx2iufsH^Ucq>#u{8IYPk@j~^O=A%qMhAm#^svXAJ&al_ z*~KvBesP+Kz1O0vdz>c+_?@>7e}BCMySV|xo23s2MPAMVJrDRNUS3noWYXE4tc_xV zNdnoI$oDlUJQouGL-HZW7^3Mcd^r53Q~A>$*dM#iC@Rjd{T|l9+-$?mH1r z7N;l-3UZOQ<*=`o&7!|m}4Mp zm18LEuPM80hpJ-EPi|wSe#CJhP$vv3QsZNgmzv|o=JI=4D*E_K6QtF%2P$vK=m0E0 zU^m&u-{CoMq`;)FvMrFAhQ+lt17#jK5chnZ{K;Kyk+;3|w9#Sv@9^TVu7}z`cbqsu zZP_zTL9E5M_M9x9idk?|z;=EL-8e?wG(n%>#lXJ+iR!mV@Gjt{sM%hz8I8ctY^yDj znH~YLQ3y!idK@{|*F)S^&2%#bbF}Uds+myY99v+=VKBL%8H4{R%bUbJzI_O`p*t+B zPs~x~pc+!tTOr(R{#FC&w0v#&r-;yk=+vk$GL__kBObp)18{5iFVBg83UhE7Y-Vzw z451eMrdcdAca_UhR>NGk?aS549vUh?m4eC#lo5e+6vVz`b{VLh9YI6}O6k{Mx&7*(3tC(<`JVGrUBfO14^5sXc<| zLJ!k?p6P$UR_(!h6OR^LP-5c->6#90Aq47q*p|kk)agjBI8Ron?keJjzq+DF7oo1T1+}>c}V!T7OFIntNeDv81Ww4 z;%7f>UBARVO(W)G)cJDX+HKlWRWfIVVW%=v!}&&?^=Iae<&T3tJ4e~c_u95j9?s=D z)jYbj$2YnWefc$N(uQgY*lruVyvZ1%C;*@?XuaG(1{UnzuuOl|dEN!)6nzi|E~jhz z8z6n{BhZym!k}X38YvaeyXyd=b~zu|pH((5N&O7-~er%R!E<#T68JMpL7Go3WJ z8WxdUi{;mm{TapKC8;*tdbD=&RCz(GKbr6$Va(s1m4pM@;P^Vi>ursV|Z=zBb&;b>ZkOeM@iz%OuH=ZIsj( z_ijys1PhQx=i()!U!`t8`Zbu+fh|WG%jX1FKJ288YII+RW9|G6={1^HQoi2mt3Q1Q zfhWqH;`}Dm{qXSPEWIn&?=5sK&iw^NUnJzyu~FSrQ&n~Lwe;L3hD7ikTTvjEz7ba- zi!Q)4UNIEW@q1`E@@)RFkfzv8OIXP7xL(1nHB zJG0k#x(uH%p@yIKA!Vyp=8jz!d z46$^X70AKl2TSJ>sN8~=ZtwNxWR#u^I^39l<&`l#VgxTY$}E+#as29*KBffPzPe}G zJ-^_FLhfwc`|JTRX6R{;yA%yoWvI9vppm7^V4I+5hw=FhAMa=2nS8 zUJ0DtTFzzbC?cv8_IdMS8+Zjc_}n+R0R9$xP-_R&%WxQUJ9hw)>FvL7^L~;PSnZ;$W#tLs>$`1PPLiSKsjlN3|6yxZ zntI87i2^ykDTNzb^Ana=9_(m@)}iwcGo#Oz6o7mmDh3D^+@vBw0-wV>$Cy3at@-_- zUl%_$d7NKABQ3J$$Ayg2+0n-~H@K{hXB2NmvsZJ^UZ}sEXl!}td7-wgA!ECJzASaW za9b(jk;_va<~VSKh3ebc*Z}(#+tcqNMW3SO*f-}oK%E|S2og5i<`fa#{6Al)Gw-}p z%y3K|(;H6w_|{0oGFld`_eZWIgij zqLWfpZeRxTO4}(>ry(UVqBg_>_Bd+u3R}%*tDK>PM!peZSVE4`M>kDzM&D`7jppqr z5hjFSE~a(R_C@v<6|%=89Nqgx9Np0C_CtW7P|I9BooWIhSSGh2AZl1<8dKVAbXkrd zO6P@zhv{Vfc1f5WU|DL)>ApC1q^wLiz-Q#=E`0{JdjNe@*K!O_5*=4QBhYDGhsnEOFon z6HD1+6^m?X(rst6C`oa}Ol6#=kZ|jXUu#Q9sr%Zu5?=hP*n%P7;P+_7<-k5r6<>y` z;-ZilFC?P+0BSz~Ci48G8dP#auzSD+fg6WKXMhaXji@e%(0* zqy&xGx>PrUe77nYylrin(PW9$fQY3=Vx5S*oA@hz@>4#%mZ+cxLDv?8iORHH>&1K3 z7f)#^K0(DU)Xv?w*uN3|x4u+$Dr;PuO?uFQA_n$3pn?J4vcC` z8eAm-i$!9&!t&oA_*U1KdAbDUm7ibAR4=;I$=V;P2!;`R;#DS{S14zITvXDhBJ|v8yO9*C=7k$yh>?L5&)?tw8Vk0{+Rk zsW>b2uK#+`&$cO~>89)LLdn=?@o15Bki0e@NrcHpRMZLThzK&x-yd^)UsAL2#0V2M zK||(IZ9O35p0AS6ap7rp=2<5fCC%be^=*B|p5{aV?L!Qh#;ZwZ$YIStP27PL34h( z@vt|r^mNv-Hnf=r4hUpb2Q!z{vsT?P&se<&y?T#|1Was!6uMf9^GSkOQA0Rs;N}7(n!^!a+m_rU=4gcu2^qm zduLRL)EN%Yy67X8=v@{7bd3Vzh-0Y72WZIEZE%|Zf1K!N(e040Zj;HpO%#JOMAs3j|7(I5+W1RvfaG%|a&V zk4S>2uI#R4&g?Z2bQsn96_yk!3H;72O4xVD!vzghPO4PQv+*Aot?Yrn%WR`zI8geW zLzg0 zKQ|f?;5ESfuulDT6_>3`ii*ec91j7+p)P6UH&LdS&ypXiEK1x*^T2*yd&$RGXYCV} z`fnkgrd8qud_=WlHNlr zD>+-%95H!)?!gtfWX=)80uZ`YRH-pE6|8=`94IfBSQ5DP@2B@YG)%o|N;zyN3tT;A zS=_#w;=-wQDRfy!=U__$l=3ySPdfojyE)%^0gQQmvjL_ZaO^N$_Nl?nZ*PBZYbtp> zE089mZDYK=$EcH~e7(;o`+eG1b>ji|3XvR9zoEaK}REK9Grk5F|fdc5JbosN9!H^1+eQgRW)t4)DW2nB7*5|pqU5wwMfA_ zk3GV*+&h5Z2lG_r@Rh5j;h>L!%wPa)Q@kI2aZ-D60zuCko*QG`5)l+x$nr8?m}j-6 ztb<$;gZT+Hf8HGY;owXa*DQUW0b$fc_JDvjZbnC>k3PZ0{N0)+DQ~%i2;Nqzv|zj- z`?_V=5}nBMtK&L0o!2jlqZlu`Xy7XFb1PN;nQ1(*0O-5vZS@K?E=D}$+SY;P!jq`o zSw^YKs{B8eOgAg`C|L;UG66f+B=oeL(}y7Bw><&RWP-JmBXBos2VN~-k38l;od`j# zHBrk@+XZd2g3-o4x?HCpG1+8%zr-8y%sN|T=9-JBC_^$KqA@E7j{DDzMXYxAsGm6^ zb&fG<9P}r5i;44%%m&4|mcy?|$ybhqTNuj|*Y{{--RJ&pO)BgIMLF}% zHJ`EKjO;4B`JPJYnlKu#WOrNdI;=9V!~Ru13L$7>X7JSa#&VG|*Gz9H`e^n$JEz3W z9op=H_R-I?`b=00B{{FN-EA09&+GLxOc-B2|0mOLCht|pJCHDqH~NB-2eV`*^LCj& z)|-sijfl)%3m#yNe z==!V4p7DK^&?}6qdSglxU)i~IHhkpn=T8K#19NrA)d*YLcSNcGqOWvhBG-)Pw* zg^`4-)Mmq8+y5WY={{CuQ>;CO@#P{OUn&bOS*;Un9htWIfwW9cd<2Lb1ynAS*j}4J zzyqmG5iT2(7UQ>hHl_T;IZ{C7yR?rqsN(Py7ut&w)_WKsl8EgoM0u;0hLr6qO${&qn8>dGx`Tfd8@RMw7X1cvjycY3a`A`FD{zb|8s=1b3M5+w8JsNRAPudYGn zKop?(rm^g~`(rj);NOkV&_QUoJVPR0*klk6VG5G363qR?n@O{1(0-%QUZ#frYtJ0Z<1bsKLVay_fS>Knva^WZ1Ui%8s5eAOmwO+TR(Y-yg;FwrfKWuE8G zjc2gZBqO_NQ!t-xEAP>@)!(2PTN`G#i&wdsc-6hoaUhY_D^CzHS^L0LAV)4$0^PhM z0i(R!^NL#=!tIGbf0b=vL6FFzT99NDpgh+wj~=_qMj(HAcMM>-z|eEu#dNZlX= zr|WyyA1@D>jSb;0yEs+=2lhJmTsO@&d8;%vWLs%?EHGi?9#mdmB~0GbrYjPh_W_Ao z-F5dX#?}euB%gR2smu@CvaUK6mbm?hZ@GIT=IBmNWBS!GrOiVc{Em&b1q7DBNPA~( z@1uQWzvj1S|4}J|7z>6tMSI0ngy6ICK1KzW3P$rPnVDwJI|}soa#7AfO6(q-qaj#f z6!Myam=2GvizZ2+G2!l|IsAu*j8T4B5Nqlk8+|UvC64x@4~a0+ZRIKetkqt(OP!CC zp_aIZHgdFM9M+-zb{Tblb#L(B=^>$d9xmI+EcbCLJG?7W$oUhQV2#FIz%&o+_U7!B z*AXnJWX?CJ1?I#wgkATfXX~yao^qPgKx7_Rf_e<&-NRe-@@B?seBfXrM2;i^fxpz= z?6Fx<+z%;teUYmUB7RmWD0(J@_G?-o0~4c_QAgnmW@lo`snWjc*%x22m;VF!FFqt@ zd;q9P8%ZE#^B!TqOie`CgE&6xZ_Ry=$N7`!cc7z_}-#MVav}>_u+b*kGbSP&$uE zZwBRja5C%Zr`v_N6NEfO>}7OVYyjL2#igA8-!}0Cx=jM&%1S%6g~}q8+YvY2hY@4B zf8~U*MLTObtsSs3fez`iMruKH%m#nPO~yh>rz%zB0v=LKfM{yS(XZrvE_Q~>RuY)z zGx^ploqg7_UJuTc!BW*3XCbfOZW%!~MtDAG&U}J@3O?RO9=zBL_upedyA_#7`G%{Ts6j&N+98@Z{ z^X7WdX3f+3XnBEQAw2`h$e`J59TS1s0n{2>;uF?9;cT*Un2vcb#cw8Idsnx#LeoWo z9OkrWDQ{o-CU*v+F-4?E)2ETQ;@PfoCbG%yuDeFMOn5Q0kv&{z?u+96InVbPME2}j zL|ltfF}3t%SiD+`5irp+~O*g%3bCUsV|ZGI8Ri=q{^ z;Zn9_#Lq0=+gW&j`avfwu}eYx@c}z|tnSA2(tP}U5l>R$O0p2ww&cGhyz-#578|_h zjVceOlDkjX763Tf6u*NX4u+SIa6W6i0x>0V&_f0HEJgb5@$Hl2Irq|^Nm;TdVZcg_ z3v>X|x~F4s8BfIda{Ghi)lbGT9%;G!mQTYj1K!q}`1>qUnBr=&2?-B3qLqk&JxV&!Tgu`arKrI`qnX z^*^~gV0A~P-tS&STyOaj&!(k~LJaQm2#c6kl<$3xk4XXxF5Jb7aG~U5_vP6sLS-9_ zePSQrw>pFPYh!(~NZr$~j`&SHVk3LI;N{$92olsY#CA`M9+uiN(Mj;K8QpLG0zQQ&$=ThE=&dG6l75_IOE;^FCDXzjTB_ZEG+ zdIgz=xKf%-ljnwdKa*s_{_V#PDV`Nrv-Tk1MVgCban>X_R@f!stCZha0GY>n#W3u4 zu{sJFE|hZWG2JJ6B?-A9j*!lm>d>i7N;YUuPG53Ccd^w=0Of*98Cl0WQs*`Rrd*r_ zH&_Uw1`WR3dcX*9oPIIt;(P5O`37!z16lV$6-yGHR&Ed9;u{(_5i(KMO7yE$;QX6D zX6w!5HzH_$6*}`+i7@hyPDK~H`7J-xD zicrxJYyO>A=^cUUjb|~s*;R{rn4p`5V zaA>44xo`+qu+apK4sEZy2#YU=&zP>ZclsEw;dR0~qfjyjUizi^`&7%<;&_;8a6}mO zgh@BzjlAo%WoyH%IjhW8WH>OS|4i~~O*k!(WmPbDFADWWvu{xrt%#|AW6Jk=R5rP> zD}~+7|1d@T=@lS5*Ch2e;^^goIO7Pn&Cj+uc0>GOZ0Fw)dPD#ANVSWx_-Q5nLTl22 zpJm*w4@}C)T-swm1&P)5!W&q$hc$@;YhgJf3_GvUGU`R^pJV6Sq4+eh8Ume{?YKu%Vx-^8`_i0SUPdzUWMkRCW7+Bt}$=CL3 z2yx6YX=2$K$zgju)|#70Ym+B}z5B#yc3aS2LpmRTy%VOi-)Jq!b+uq0-&Rdf`P0!R z!6-FN1&hvYayM0R8CIM<{T?~)H<_=mhHJg+GmySz3lduWYG-dzlEkyCWh4<9z_ne# zpD`aRW#3o1o{`037|m&k$x*^|#BblRD*|fU%%@1;+2F$gkgz0TV)IrVaK38G(h2i& z5yXtyUQVehUQ>E5rkxfrrD*iQo=9VuY}FpnA+0u}9L(An%m-s?4}wsWQH+uaLwlO9 zUt}ZUNFDUm%-lPjAN(b0p9}w3uG#U7J4qWAb%6UmF{0(cPBClvXrU}zvXs+#(b70G zFv(0KxOFpW;8pjD00S=ksk;H@sr;{W547Byw90^V$@FVEmf*s-W*fi0GubwnU#iG5mxk={v)l6K?=#x^RBNVFeu_Nnz3>Sme#rJLZf_X0@_2hK0jS=R$^cV>U|n^DBcH z1#^{t6}X(UfL!oBZq}cVD*ZA%8>l%Zt=;xQUh&#z$-snR>@?iWQD>3nK4>40IG$^l za80E8uY>Y_c`hMUa=Np|U}KN(D%#2pz4$Qkc>c+YB~{(o%$)JY_XnpxWo?`w(z^>7 z3U-d{t2E(lUAS;Z-iMbaZ{4zFED^zyYF9ZRUSFg5vY)ISIb9d{A8MII%-1}UzLb_9 z)7=uf)gM+5>TF?Q#uA>S8K*SgXJww%=_B?HQw`jGYvNqIgLC85vvj($behdBnrW=e zhq}_bdMOnwYxC5*9_TlF(w2-=nOAq`*j;?<6Tj?pNS3RZFyw$#piRmUWy9{$l zVD#bkKl7kN+mp4n%)-uhUqxX_QL6gjS#;M!Ri8Rab7q|@Ww2H96CHEyl#1Fg+Opb3 zpX`|VH?D6%Bs5fj6fYFD6^FF%{zeW0+u}8G2D-PMDy$Nrp_f>tZtb}XGVm(G0M^1n zTzd(L@NiAi4HLuuS7viw+Zq$dV4b;3Tm498Wti_xgrdGVqQ3Tj`|W_P?{2FsHZ?t^n0O8QI{z zqx5Hu8N5I`I7GI;JGH}%fa7eRav0ElqY}xLQF4@KLAa%9XjhjR6_h?OV@Ter;*wFLi7Qw0;BR8>CstU*f?7PInTiw1cosVOxQr)D=A<(`o|=XIVsb;a8$O zJ5k9<1V}I@tD+J@H|t`;Z5^gMF0_ATaLh9H6h!Ht-G0acqzYZOV*Gy?e9{ov&qv1P z(oyK^I!#mm$FCPaiwlE;z%C^j^%j@=_O5n{jQei{0j$^!`TCdwiK%)&29L7Sf~o>? z6IqeHS=%KolMGgz^>y?$&sZbU=LA(U9~2I^yiy7GX768-d5h*Db&fI{oSj+tV87K} zu#la6$fcWO)GVCRet9Z07hE#9i8{Y=$Gt)T0dJf3;f@#f_RWZ zQ}7Nc>{&3gmh7&7?DR?|;;r+;j(7j0T0K7;g?f6jnP$6&?EqjLFw5)i%B&qA&@bk< zxmiwok`zI0=0gD|xLqldGRuD2bskC3#jfn3fgrv8FjZM5&GR~R^Jwyz5mFL#d8&2- zudF1`YO2W3dmftJ>9rq-?~JdyiQoD&!bggk<>k?;o-Qg(2u?kjes5$ta4qfB!^7xNC<%0WP7x6Mqy%_ z>7axM<3u!;ANE^_@Z{G$yJPlww$F46WczXhw3#DnQmDmgev2$BliL|_HSfNk7u zIiEHr`uugmH!h@cl5d~XR!d=kq&WtaL{Il!hjQtGa7C7QtY6X=t-?##Z8zCX{2EcW z1sT_*++s|VAfUs?YTNkL*E?k=7xlg&+7e*~m$~!h_8nRKx+Ja|#j&YEniUMV967HQ zo3MzcYv`1Cm!;!vJ#@W`-EeCdVR+%4vijWzzYQ??Ii{j~h;tY7yZ2%NASLtP7fQkt z6~1g{n_(WF)E_Ui_)pd5mX)qeJrdsZO@iD|GN%vQkw_W$ii-CQr-!p#SC#^Ms=-0J zZ7C@@qmniglsjC_uGF=EMaw)Aro%p2lQcv4^q&n3{OMB{tR7VCcd9#bR?$)nbLv>I zh~y)6zEi+B)Xh|%pgy(BUiOkz#*d-ym6(0N4_U97Y~d%kPKMrg>5*K-gEm!|x;d+N zPEEBV7q?{wJi@Yl(J8ctgAGxwhjHbqmS$6yPSzPqUTOE`LJ)N2)M z!Qfo@c|(E?%vWpvIc{DIjt_ir7spD+VldD2McmG*yfsO2n#@DAL)H(@iYxv7!gQ#qc~yck?j8FjYx!0AuBVA$U){P5e9SS4sIHo=NrAxV za)PyY*>7g@cM68L7X>P04|?5~=NGFt`gPpvSgXLw`39e%%YS1g!I}pGt$zKBths6( zoChFaZ699fMY;sws!hq+t$ACQvm5Dk_*O~)vRb6-M_q^#ooGv4jK1PW67ex6Qn3s# zOA?Z=vR1!-_mvD6fhdUSP;4Kf&bivFXOKk6m7E0dirtN>~vl}XRz&pz zOYSPJj_l|Iu_!s%ixQ^626`gqgRf&vERTB~SY7PT-7sZct{1;Dt?fwxve^AgILWgi zgKn7V=OZ(w11*-mr>YIKL}RukColTjQolt#2(34jCB_U_Qx!UA3J2%)c^>HW%DFQH z_{OVRd)ve1;!=4sV$2McKrzc@$tGy|v*qxaXYsoDRU8cEVonRRkKG9PoL_;PjY4;8 z3bIwvzS!;i9CGJ0vO=}(jvkX=42b*n>BZ0*XGH7qHZQ=W+0(((1Kl3PcOJhHwo~Bp z>R)}>e=YYC!hnhQO^oxu3O4c}y)qtC9UnpHF_8qj5zHnpF_-Iwg(TsvjRw19K*!ARnE3Tk;tk=L#6ob5JDASYXAdam zW9gO)>jc&r@h`lLvy($XT@HvPyih3(gAtLt7?phE8~w`pX^79WN4BmHOkH@&7c_-= z)vM`|dn!^osPO{KCom!qmFJ{fDSh!cmuzR>5T2IXB114w`24|>t6RfDW$`_8;6moR zoFtn_2j)&W>ejC*UITUGk|jWnkdvj z2)*_>aORiQQ9@B!^3LYuYgn@LMC`HIyR z@|OdT!P`a>7%SGqL`)n=r(L*Mr0nf5J$4huGpSf0_NSO@j*j(gVCsQcOAOE`FBY-r zlzg)SbYpn~b3p?oPS)y;*HdJ?*(M~<*0=$alQ&rrnajfr8c%P>l6ts&0Qr~WX|^%8bn&qoAD0v28Vtq`tdtKY{PW=#181!Y-n&&PO2Z)|;{ ze}G_qxw}oIAc!v36|Uu)o^eM|w} zuC!Yg@tVyQ%)ZOXRM19Q;axx-fWy~)EM(M*F}y2B9j)c;yXGRaRCMXnm>{XMMwfvr z;*E2jdQi6d^y|Ghq6K0#L%rHGD|fSode3VN)`gPtZo)m8bnaa$z50~scAe^$4#W1p zi~+(c4MTTbX2oAQ7m@^q54@Q3k#rI6i2mQUwKDcB8g-NPv*ZUuG*(ct|4909ue!~i zG=IFtSUBI{n3;4wSQpCw1`KVHUyv!UY+kxyPR*YeAS6C!6NNQ30J3RwC6+!vRjxtz`(WacDAs ztfoQh>vD1FaK33ZpJpp^p^Kj;^HIE2BS8yi^_wgaYg{|gT4&R!{v3zMKY`tn$l!fMZ*y63buPiDeK3SU?(?oJqB|I6F<{6Y^K+yL~{HiXC&LV}@ z{_H2u^rg909*ek-M)beRfsuU6$Li+^V7ySF0_bbEde{Hv&E8^lNkWPyA`!365Xs{Q zm3T^kPkpMUQfy|zeo+dHO}R7554~89Qoh$IR9nj}-?QzPQ}~*#o7Cfu21UU4?+KUZ z$r$S0Y^WFC42rztPd!PbU!6&P{Ozw2J?3FeYs||0Bf1=?E!=R~~o;j5y#Z*l@|ln$S}q0M)iUZn!p( zG?rafnA|%(b5d!qO^39WMU&NK*8ln!Rj#7_StK;1t6WH1PGi!M;T%?+i{#Sb$=e$^ zDwY3pgLjZo7v>ZM*H-wV`dz0h@dn+E!SW^fvjGPm(7=mrkz&z5j zAxNdhsEydZo%};qL*#pnod=tE-%$d+WP*Hn@mGNwlgVb+?(3lsY0@7=$o{<{PdhB{ zZK~7234vMn)}QqJ`+%N5K&H@k4++g>ck};gB-3^Yg3jjE^+K&)OvWQA=Z*h%n53rS z`Llw~(FP?px2OSug(4ZIv!mljv@M%+JCvO{iwtv1nx#$@5 zg)b?DKUWs$Yl-UuZu!}5O~#+z;;L6eG8+|wW;;~hM4>S|KQLN_WQ7#e7cuF?_J zHQ(d?@~b-7oY6#A27K|^U;+*_kVX<>Q3%nN_IB@o;XO=(1r&(2T&2}U|T8w5Bldp=o?P(;5sGG;g z<7$1(7pv@t_f>AZ9se56;>fum(+u<$);)O^q6)3=oFrjufAik@=zp+J{jYM823z&P zC+A|*WZ`S0sqG&r6j2%7tagrHCpj)gdvthyT|$d>eG&v;Pl4q5rL5#?s@DJv2|pXt z^j7sSm40+(ddrVhu3#uLn#O))zji^T3AzC5Wc)B>m@53g{%edbIF_2=hKjPFNW&h2 zpf=Uqpp^%Y?k3@jn)WOlg<~mPF?&(Tyy&Fe)?z!3+8?;^RC~B$lrLn*A<wxe3fvEnzi!vUisH+CK(*)|m9^^c*`GWK*V_Of+0;GOnE(dVA+- zhW&~iRjGbLTt>h4#zGN423aw&{wKmvIb_S;(b2}y=4)M`hyUxT^&k{7X-&E0(RuvV zMJlFXwGU3{`(Z%Zgi}U2?-p=AAe3IQ$a(yC+xsM$6oYkYuBwP>y04hXkAhvwy=uAh zhe?Jy@ud$C@Mci*CLpr?{JmC3mL2rC9uC*F0Z)v>nzD?!mcW*8cK4NHb4=q+TxWs@?AoA-sw{o30nQd7wM}U=1h+l#ky6}@>zU!|uG!QoJD-*!y zR45OBW(lxm($?J%o$3kITh?nWfNEosFiPBqj(6<$C0qZlDXqT#lQ(!a9#7(7D#&9? zL1y3U+{MZO=rhm8pDn!A<}6#JUAZZ8Zycvw>WW-vF*7)NBO{vL4VX^o_ zvpK@-m7lD31Kyg$NvCBNi%NtF4JJPSNxp>PV2B1}@fV_9GCjWeS`sr1 zH}$&$;9F!`3X@j$@K1--3`BK;beeBue+n2)4j;0Re2Mt3%HM1>XeGrl5^C-CLpIr~ zrC?arOGA3XWCfp{ zq&@e&xktO(j4?*Esqu!*gWX{C5-m7Lv^_|4lmyD`jgn!D0JNM4`pB(aBr`HwpiJ&k zj9j&$?E1m1PBdU{$AR%^ozA`BQjG8lUFB+1g?iCHXJ-!RhVn_X^8xd~K>z0R>bM4F zUPNdw`SlTPqWUiui}qh``tg%GE8h(HeK{NZUH=ZL+6WO$ljWl}55;Ng;c752wz}=< z9q$?k^+n8=Ey!UhDl~1Et;%135-;qI+7CsBc~84bI%LFqE72yeS&^czf}nx}{|yxQ-ttyup38Dk1I8SZ0DX z14g)sJVA_u9`^(wt@O%CMJ!Ux_BCES=%6JuClAus{)0=6A!>M}9f&5PUWwZa%1UUJ z_yoPwQ=7CH6Q4YJY{;`4waD8*|(DMJzkd1kG4oXk~uaRgC+7elSa}K`X(FLjEAz>d+Di z^ww%M!UcCM1kTXOaP^BiuWiN7*u#qgV8YMjvklCj6asv4Apc@rDY|-4pYM@hYaHT* z1wuqSfs`*rJt*f%+&2v~QC2Df^$l?Yr91wT3HLMue6(WJ6ELqv-MX!zF;=O(M2m>QkvIr z?IECs%KawO@~JwQ?23(2(TRZ&2DGX_nwPlcO$+V57Reum>n7Em(64z4(5CXygb}64 z@r{!N%CpX>)Ar^)4%iA=e_r99BwLSv>U7>$6nJGVQMS+Z;F=Ps8>bbqqJP;(Sk=d_ zceHf z?oo0d`Njr5SM8im1irlVZ)-<_%ZCsn(UU)kv@%sAyyQpdYm)!t0@!(jX?J6I$t6Y; zZF7UEhXEz@+3KKL(*O2WolK`-tass2*_!y8c#iNTe<4W*@)bT(KDZwpg=Lhc%{3vm z>VD&i!1;*|GjP4IK7aXu$P3px{g^HIJK`Gve8AJ1B|6W3%^* z^JfL_XnQSDMhd)>P!6eqhAiTjXB(L^Gv#35ca+$9Z$7*6ar`-=H8A8mrb~P@1@i_s zd|i^5E}c5WQ$xF~US(7(Slx8|R@{|JR+p_^AP=I|wwOh3{|?~YajBS(E>oR~OW}9EN&n+2LZHf(CR!R*?1}Su-l<4(uqa`_wF#%x z#W@#cWUq$jm5Uk>{-PDORAMKH89|P161P{kkt%+{u0StU` z&d@Wmu7aD!S7thE*M<0!K6SG)5auHCLVn-7jSj7&Qi$*UUh%Q#g;ye124N+}fv{9k z5kdp_)ZVu!CXEr*F)qbtUKP=#8QAe9`0(;bW4!I6dl{>V^TnO@3>{u0n;dT*Zmm6pE9cXvgfk4$`TpM_^m93DzCa|Hxf z7qR?$#U8%-QV}`uvzhqTe+rj! zXltt8m8j;gLcB>5msvCs#2Ue*>zh2!`_YP=EKi!>{-Dgbp3t>?`IC`o+F4}Y%ogTQ7ayMAV;F8PutCB>22oK za8}8EZ6jicl!;y6`BCb~(RLli#;bhl$Jy-P5cyRnj*>y=J;%*OF9er+)F-z2-zyFF zATA}zk@q??lt1sCFc1#2D7@uo^}dMu0{IK#@jWSUG-?KDH{Eq4q3POYKQz5ZP^od2Eh#LQ&`5=j;N5PxW(Z<@O6pN&*aRZ)tgd5_gIodGF!L7Y|WTOoXdG{_E1> zp|`?B45BVTXoNBjxQyvNhMwN6w1q|fIwHE<1h8&i%wK@QymXK-xb&U*D-Cl6O2A>2tJ z&%SyvOZ>c8jZJXg?9vS-UhPSTsQJ={svzYS)1oIVn99^yW4XVc|FYYJCC*z31 zz(#Pi+g^Uws-MPYA8w{+CG>&&!eH*XOUJDqB>IPYvOd0L(vT!>r(h3Vcy*ZAONs#Z z_z#{r^UNh9a30fmNF>wbi*m=1W+!Tt zh-~>D0=evSwlR-VnyjlIYZ_mNYPj#aOxEw~(e zYtOM}9<|8e^$`Y8q9;G7kngAYOR#uD_b7xaIe|X`n8ZN*rZ$Gll>Z&_rScwruvOHyYkoRi6-;GWJc1jhR&UWCRUyZuRkU{R9E^@PH% zZ^Lh$p9jv5y-gKd+9kX9n6PA*Xc$J5M{!$SFwMpr^tv>wx^eJE@#NWq=@jy#6b+;q z4_2KWJKcs%o}>GSqWAMp>EaV+aoZ|Znmq4Z_Ju6yudvd5sMnNFV*RrLfxQ$0wlV2+ znh$>_zWc4TXQs==D$MKi;Mvj;cSgNd*?Z5!mR^lJi(T{P9Y}5Fnetmd*Y3)4_Li}7St7#b_>bUL+vGn63imP?7843tty=_ zQs4XN@;rD?UB4V2biwS}d6nrxzv0#X>>D^VhpG5`Ktah=%}LiG!%GM6@pF4coKRg{ zAIbdlNrXbI(KK-0d+Xl2=CO*t{&mG$bHi6gkEHvEb&|S~bS`bOv9nvBd=~EDzukFB zBm2{hctHlyR6z#8x8!H}RbuPi!$$J{kkPEvdETO9ux238h1T_aq~7X0shw@@W;u5E zH5uPpZj;KuDWR=vM;SH^e&~xzF)=dTcYZ06Us%Y<$V_s=%=z`_%EJA_qAD*185Vy} zelJpY$o5b;z)VVMuH)0uq8Gh+WdBC0PXEO#ypOsm*x7E`T6FAI7TG-9<(*mo?W=iz zWY(&2KoQ^VN#*AYv2V`haNS}Sla`+S@|=`#smj+>&Z`v9-%eAH6%rCk*G$T)`Z{?x zGE(P`A8mNhtp=f_)^WetoRq2TjP^yh%zQmr59i3K0`8qhUtdXIO1U^!Cup3&KTsXq zx~-70$6m{kO~%iT<2H;^N|ffYT>WzQ;qW;{$fwwP=nJ zE-fupR8;JLcdOHSak=K@)gxo<8=Z-Uv%jOtETwC1xm5nhky?E<%)!QPom0>9OZsb5 zds@~?z%%8ym)HV0A7?3jX*wcWPQAwVTf9wHU8G6p`*6d@iK^#LB{}!3Iueb|lfP}o z`rbI3#ZB3kW_i{9&(S2wSzGSpv=Mhc`g|kLlGn3QZ}KT*isUH^+^rd+M84m2OiY$Y z-c$&G{UA%D(&76)$tl|!K9$(k_U$L_x;waY41Rcv)rv_;)hUfOeEi4rw{n5V=J0M| zr9a|BE@U3k{d$sHukQW{8Txm=biWV2lh6tINlhIVw#Ckx{AvBrf#g=nb#9f0jNFj- zR|YC8LPE}IYJT2a|Kobj-F+G7b%ck9AJ$Bq7#>a;7@h3eo_g6`@oIa6=E3jkOWWHy z%?dFNqa@Hli*iL@fKjY=8Aeu90&Nw(YXgyURxnte%;JDvb-?wi!TH?f7 zl1`_xva+)pA*hasC-HsBp<4e@G?H0>xyoZ=f{3RGu z)FrI!6vrp}%P7wFpR`f^Ek0CfIO4~9PdZyev6$zJLm*$wgpbA1O(h@w3~dq*LRr#Q zQp3oQJKx%Mw|F{dSEiJuWyK}hHnQj1`&d|Z6INDMXlQ6|YczIB71MJ0f5c<&<%7J` zH8su3J@Qq!S>?ygwv=yTmRvIcx8Q%|WMs={6BGITFI{Cu>aL0?~=q-NttLqx%wH?Lm3x>$JmWH@z5 zr2 zJ??nzn)!<};cQY@E^o}_=jX@GczJkSj+v3Dsi`46yFS)*;J^W=6;c9soI@sf_#P-y4Sxy=aO)B6Io6ohXhSCwzUklH_k`oImgQ{grXW?HjLes;eGb z7^)4jZH^&%yT33m?zq?6#eeATXNl{mdU44SMt}Yc3vsLIzz^JXwE%0uDl{rjZrHK%`6ZEx)%U^uRH<#CP6 zpIum3z-dGh;^J4@Q$rRzsmolqw>IzH+u`W=>*uE@zvP8eHFRWDWD*6V+AqhXH8eC- zc`Vd4HfEYt+{Omy>8SSxEh1IDOXIB~egkz?mi@9_yt z3%7u;6FYU#m+}zwdcaT&*Z(q43u$PmQlZD0J%Bnr}9E0Xj(NF$CL7{b4 zyLa!NiGI5H^te~dqer@#x@j11R=ac^y9~sELHuLRvC<}gI_^Wqj&+L;G(R@c(b4(U znY;TA-}wZMIMKU*JcH-kAAb`BvoApU{k7@(&rj^u)*}d6-~7z;$8yEt7(bQn9BgKo ztwGL}N~L{7W%p?VzQEO=0d&gbK~zg=8lE@*%$jc0wzN!#(ptlyLuII}ToXjgNjSkn zKbfD#gHKrDS2^te@Xg&Qx}+?8j6YrfF(feDaQ^u3`@3mzg6MJ*H?)O>k4;TIZ)`(P z9L&qhd#K7I>mbVI|1fuNz=S`YuCxmiG40^pDTnaxV_qw-($dBfkGTn6cr8R9^4j!W z`kcyMWpbS-Ck}R%d%9sH8y;|ABE1MDKI=DqeJd+FPLp$~TxCpQP*&}(whY!ZAf5>j ze6-wm^KbQC()#*(20jg!>(>{TmPqf+&(Ei%aQhq%$6v60uv%D|>1Cj&S2%urH`TuR zPcj2tU0vh>HFFMbu zdEhbm`1p<;JGOW4-oNJ$U@Vz*f;GvxY{|yCiU>v^X_A@Lbq%rke)b#Xp+!z+}fbY66 z!9OrijfZ}d_n~l8D+Sls&VOgo?(!j(ai4Eu#|6T*`NKj(NeNzFUI=2J!$G*!pGcGi z1qCG4{ryR;FW=JmBR$fG)*)RHEU?x_M^ooU5qE8uaNNzAGh~FXSq9A?KBx>d5~HGY zV&XC(@6DSm-89Oh&t*g~x5QZcpMUgi|L4E{=V$*;|Ns7z6aOziX$pC9HsYzQtMWkR zL4Ud$!%LU?l5vdY)~1)wVd96G{1;N%^~&y9;#?}HMR8348nTyQI4jbGpAHLRC_*2CIQr>MhPzQ3oU%Q$U34Ibw1XfD{#%DRSw z^UB`6Gr4%NtfXZ1@87Mh^|`vbx{GSU?E3>J2zfS*^ampTEVU}R#VNneqper;`73#A z_7W{EEjHxK$P{CVANSobQqQ!#?<2;+#@2%)L~vb*BWdS8kFGpR96s2gd*#@3*Wk}r zRZmedG<#L0rrP}ao>(^@i!PR4x7E>!lz!Ai-)tp!w?cXUWDf)f22~v(>;o-I`7S`5o+gm<4>6c7Vdp;#dMV)(DRP?*Mz}{fZsIJ@fg z{DTa=mzwVGg>O4@nVnB9&(FK`^}aGLkkt}YpT3{}<;xe;*v9F*t>f2v-=5DFxWLkE zby0|!mQ`G3Yiew1O+EJLx0}OK>Bhu~f06(7tA0y6_1g~{S^4FEI@;SuMeqnbaq){K zF3;aG;0to?^Nsp|ANtOjnH?DaH=IoM^(8H;32PlwLqn1A@tHHr*#Wj$*iS6U}J#1IIHlAxiX@jcgk8_D);#DVk4 ziX3xO00KS>BS$X0{t&*tJn1&sp0>Qa49umOB*(NAd@hP_a*$5H&~MvUV`_C_1P6Ao zu(Pj^C;KJD$CI4EY0%&Ld(nQyv+cq|S3@2=kd~6#bq8h4yv%(P01uatYx+)_pr31I z8m&E&TeVeliXCwE(-RpzJv|Zg%CKvFmrPA>Bz7Lr(bv}pNFrn)Pq?_u6W?i8@z2TV z$jCM%#>$eQ2ORP{PK-50-!wg)Gi9y+uO^_$?dp#0gFa>$KAoNnR*&mV=lH@3*}P2*2YxiD>Tbo`!Tw- zMi`u&^qlU>|M1~MTwEMJ%7!$9XpXx-5MJkQ730RUecNg(jHLw@?Iz7o{!jO@3pF-dK6~AwME-AXX=3s&W7!~ zYrldkk&~q?y1YNd?LhnGuq=(jpv{Vi*qsp#PvmbotEi};3G(oe)r)nR?h@nJA0Q}O z^)zkWiS=SM#kz%%s3_f^yxYI0K7RbDm8>|^|E}}%XU&3PEibGp0RaKz8^RY%huipP zUS8e`zwIr+9fNGcx*(C~+8MYTjwf_Uy$=Jav&02NGMZGp04D?Q_9LIC#%d){IZ_Gi=XMjQLX;CT#Ln zv^W~qh=AfvHj&nUeQ6B~puO3(oDDtNEJM!TmAd8mp<0sa-d>Y*TTU__0D25!-%FE2 zfI`2gzC}4~<^EmTx1N3Ph`w#g@#)q#RaHtc2x~r*-w&qo2KauJ~^kO9yUf_Z`orpN&FuZ7+5cmM7Zok1!Tg zi>r)Fr&``8M#fmhHk{Grg>Rkv1q-Hd!Wbz5`I30C&bi}AAC|Q&HrfV!)1i|udStH7R?5clMXdXW2N zq${8S@kBcz*$bY_rLkVA<>_v{p{Ktu14>CL6%-X2 z{PGM#UEsB=?c(oJBKcJ4!mJ^^**mjnm^ncl6B~PK*Du184|8cLCkGV5_r4ocNHmQGzZ||k^0p=nuIz9AlqIrT0D|PNp zPC{FT&!0aR&#tMhwf~e*bbUrif*Lck%4J#?pcUi3S0?yXS+C4oRk3 zhG541H!G@~y2S}DH*Q3mqx=e&8&lc1AEL<}FE3XR+Lf*mZ*>RreP3)^dVFR^xa!JK zO#p7^_Ub%WtiX51bt|^)NN;cN(F?{VCP&JpmIG{w#jf^|cQnQMZO!1@|2E{e=6=NG zNL;#f3By+Bq@4i5g7ie)KTM9_vUm%cy1Moi#FdoDI(NKcRd`57&1PZ9OD$h;L`l~H zk9&~yn12=&wEOKxX`rq?B%GfM9zYw9j04WHad0F(ew=DUD{E_vCOTg$q>$5h)e>V( zxx4Rc#m0uWlk5Ek-W) z=L112KLfg2oC9th15D+%W+3Zcjo3cTz1N<2w_eFybmX`~9y;=^jU_GOI__vcXM{ zkWJL1M=ojxyvDb?_q3T;`O-bBhHv=4X9OI-+9SDVPw1hu4+i(ik_BYbRb2U&#UbbZ z(0FWSrUEf_%=PNcz>QS6w&q+utmUGo-lfYp1(kXAu0_wD2R?pV8- zdN0qMKD~>K3?uq*#Q*wTB#PY5{HVe(oQQXWIArQB{Ud@Z5&!%nC?xdQYzyVQukVs* zs!$So>!^ok*fY@WOR4hEdyDjeCs->gnXe0FQCk@t8DU^!Ytm0sYySAL+N$@2neyo~ zXYREh3J(bp5ET47?E3@6l|ws^o?Zv;#6pJc)cvzlqoe+&*iR6YyHTjS zmN^w}lG880)z_0{FFfXScp`n(rRyJb6=tQ^cdaL=oIdTdz4-^ZLsL@|3-a5=#T&qG zC#g8s3(8S}Kw$<%@UCv?fwo#Jopz7dtZ0oBv#t+i5h0^J@M_-m^c<34Tyk$$*T>zn zfq_0^6_?w%ab0-tr#LZE^W%(+jQeF>Eb7Bp38IeQh4!=mb!_;zLD@8Zo1afXO?=gf zjoDhnnAIyU4-XH6c}3gp)RlK~Naq*F1+Lqn%)%})Z1?Lb;{Z5~%RR&hLYGQhP%Y4* z5FREZl(`Jmpf!gAAYxjkZ<5(5Omm9ODz9r`9k_&sn%XqqDqusdkL}0GpGI)V zzqN0D3Ubq_uOxEG{Y^t<+}7%X_3hho-qhDjaXaYlZ``ur*@VR=zTBld6%`wML0g+Zq@W&|hn{-Fclhv;?o&lqzRBI3 z?s|LGWX(Xr{k^iW03l%=5qYS{6fBy8z6f7B1aZ#k^%H#b4 z1=@`c!U6*C%Z?sC{1V&+hD83@vG{}pv_G<oX2lEOD{*u<>-wfP}y9RED2OO{t97(8U{7b7eTiwc06 z_1U%0%DB)DWuiY-37@Cp6!6l`PL2BpQ>u&3gU$-o;|YwyXx%hjC_*; zN(8kBcs475$1ym{>NdXiMCG)!;`qU{fgfE(B4sJ`2OAEi4AHmZ_hg zKXAB&(xK2FRGQ8yG$C8hQ#ZaJEcpEKBaqEJ7zQ+poPHZzN+nTdgYN|+^ea8`_OKi+ zN2LZ1`ZnX1qptSg>xU0JwSpcU`qbQ9d-oQyXh)Vo_Tb_V#XxR-2Z@M*UvQ=j*Df!O6+y=yDNx zFV8=zS4^5lEck7#x&p=k!UoZBh(Czar=uLS;hrMDNzComO-g;awdaYX{f8C2&h4XgC2Z` z93?Aoj|*SL9HJ5*A0HP^O1LRWLdZ8tjEsD5d;Rx6Q3L<%lNAn_XiZkaT!e>(6&4kl zA`aKF(!W(Gxleonje+7cl)69`oJ|M8fJ6S~E0bd4;%NT-`EzsgJA?)X7$7(0AV}2I)aI|0nDfZxPM;V6g~aU{YWg4kqF|nQNlrY@UK{`iF~eY(m1rKLNKWd9OZ< zjz$`wzIJU6MV^9zPr-B1zgN;RaC28;e0(>EdkBP(>UQnkeVB*G#@03*8-|fv?D3^$NBL9pl3ESL7EDQKkVwm)mxT0;U zKh$675ET$m_lQ>=weT{z#6n(!=lmI}hti)HkyqHIu1NZAZ9IDPNaw|ws{@ru2K1%1 zTR*fkH4hxS&J)of?=pC&qT+bNM^Ma1{- z@$vfKst3yc3lh0wf=*fYg|!Uk20hmn$AEZR5|4r7>u7HNg~nWIYxU5DbGEd!hK-T; z+V7uNS7%rBE>Yp`F20sL)WVtl@X;YA$^fLTXUnSb?<12E6Cv*$_n039e(CP%d3$YO z3y2gV5hG;)Sh)_(o^SWh3P!5tg$Gg@932EAkrEegZ)}`I#v|QL^Xg(z7V=qf@gH!N zIKtahTbpj*J|k(f{Qqi2Z9!sGl!RrCKL*9L%)POx3EyJ?v?!MN3K*aY{|99PssB^5 zlDT@w=+1SkgvNFj5i??R;5|6voG4Jln)`N_x*aC$SMu#UaWNk(BN3aeWFj@ zsP4UA{DBrtX=DDBnpzWT$JpW1GW^q_4lV6#-dl(|tN>FqF6!#d_2KMuJw(r4>T?~?O{ns%C1#e6&K!6+qnoFzagJtmS`1mb! zow$Xr?(Spq^0fP9=P^y_#h|bu<&4PsRR69^5IGT}fG4 zrRP%pi60{Q4O_+Sg0&Sd$i+^8wC}Pp8Yfi zgJ%5bd9S;=Z7q6#Cg%DP*;l2_Wj!maVF=OaFBa1*q^?_9a&2W7jb@*0j08b4%&De% zMB-u3MB5A3Rj)GvluUVSEhm2Dib)*3>`lUX{5B(@K7vzZ`=|$676Kgu!xB6}n!4HM z|03_fDIuit_qDZ$`1wD6_+SIo1CyKtsV_fYtQh1QI^n;+e_`%%20rothy49RiJ@9N z^g~sFq7N8|N#7lE7RY*IyKfJraZ*Odyo%_q) zk1K3DHW(nyum;()z8rYxIuiKe1?mXwIi!50P-`tBWaIBAnw@Bt2vO#snzt07Y(qlvjWJOjel#H1JK z4ZQb<6FhS&^I^_{ka-&K%T^Wi46lGe2k(rbLhf&0Tf-C7$Oy!m;fGxDs?J)Q zdflq0zn_D!pM&Gmr%z*@Rxw*cwY!hfH#4IJ%+xs%Q0wBHe{RauHQYb&cB@SXr(P#etN-JDsT>_D09Q59wv zB2vj45RnM`q@Cj2eSf5>v-DL%&4Ikv+Nz~Kc>%489RH_wYA&VS50u@t|9CaT z$3;aq&^4WC+vN?Ox28tIOx2<%!7mG|EP=U)w{9N|L()WJab| z;C||3>)jW09FHq+xZb!S)y02WIPgIG|AQtgfVWRF^i1%-!pB{5dU%oEXN*F{UVVh>&oelAO|JlY-GMdsaXn}@@t?Vo@ zNXYU8i^fO1O-ftS-4X{P?BVX<;1I4*IC3N#)Gk5v=Cn~xs)-L#z9-1bzXLrZvF9|m z4i*SWb!X>=wFcK8BXCR{=H+dCRWp!>59~XfuxAgm5aAA#qU^1`F&B0P0WyiIvxKO~ zt+!vlH)c$PO9T*4>dlR#gk~>uE}_+nZ=D)V#gA40tI{AZklt|}sc#f&82Iwx1JBW; z4~XE=R%~-&9T(8h++TMu2&~;rQjK(Mut82FM7bl$m)zE@9_M{n z6oT3a-vwzk@)&V!3K>&wO?{;x5FwI|cYITkt3c zWe{&5yC5IY;I;Wz>d&Oz`TKOH>|Eh?;N-;AV=EOY4uj)E^GA9IrEvV`&nw5$oE%1O z+x>GN{Mf8+6Z5)-6Cezc)EA&5PmLXTcZ-&^6VjS%vh#2BBKgm=h`D*h?>|bPU;$C8 z@8uIIYGrrf0Lg^+8ygTzTIfNKKLI_S{rAsYgy&y?!(BU0+S&a?c?n56jW&d_H#QVRh5FZ-$<%8)n=m%)`Kbrmsqy1SI`W;dM@?%Y``)=va#z^8xa3t4 zU)wC!uC=ekJvUax_?&PFD85$tt61Ov>glp_a(1@1VkVUy3p*l~(OR~9RbOzzn*9L> z2?$+i=K$y7Nm@X1RO6aL=$LfhV(t*FjG=WXCF~M*RD}7p4JAm zc>`DjronM@Dtbezd*{1(8{8!m*@?hYYfEt(If6RlSzn~VupTJ-{HBEi+?q>u3_OJ~ zG0CtOsB;FT-MRRuvPNF{sik4O>Q{kuCT24voA-Ep(VsbD=0kIYhLTmnZmm=LR6x z4V-3u_Qy~Xl$Dj$n%m9GJ)TF@>fRZv$bE=!&J#%ATWKXBCKj*cw*`s?K=@jJS-^`Q zOKTgjY4jh^&V(8QzV?MHRuo#p3g1n1Ve3H3=s#;}n!kJ&I^`MsIxo)f7hnXKkk(Qzi&InIEO{yW!gpq!hMU`ZN*0iqHTz!VXcx1R29k`pgAlRjAG ze~vgO_MZ&pQW*oWA9ReAu<#57AJ8SWI;A#(T~tAKTxC;L(QkF4&v}A&zZe}I{q2>p zM0qx->bTOE=zRE>lo^tbL+X#?1;q9j>4rPzb3~^8-Me?=1P>iLgqz&xt*t%vv%QAJ zp5Ox1Jti;NBFGS;^2Y0rvv&%CV0TXdH5?6v`nCEGoFFkCnLUMW2V#1y0R78(Q?l7C zkL8KI62CayQo(v)nTVSVH%@)ed9qxCNGU5TYvRmAtBA#W!(;!H&Xxk7Up6;WF6Gr1 zf($vjn?lWfd$Tn5{Tdv6wnQozJ@v=e;g&zu{Ty+finyaW^F09TPn{hU4qOBA52>T< zc!G#_ew?9^M~F%aXc@u%2Z=rtglETETgGT;t2N~wk#D(_IgoI2tlZ`x+RlU;--h4n zx2w@V`K5oD#BqNVp;l}mb;CdajmcijIDGBewSd@J;6199q{>CQ zibAW4zX#N^iA%SuZyofLc}sh;lHcoIQas~@tL#03hqjGV!J~S^upPG<8yA<+`(kYe zii5WH!y1QH(@U3*npeK+J*5+k8B-Y>Q0pDd*0_9>LHVnlqoWsA3sxbJSzPNl5Efb( zJW@ePRyMA2S)GBMJ^P8ubz3Y0sP+!%P#|+fG%U@}8$pJJH569A(7A*@cT;IzeeZ%>CZqu78Yf`33gM#yt(qx5+=e?OoLR#;=y z;ZBsY)YK1cZTVpH;ST~`X*f0lJ_ZEW#eA#NxKxC|6-UQjz!8u{3&4C}62IOYz7aNN zaI%t;EqN^WsFFQk*6A+Bj>}M`U=>25gr6ZRKHeC;Ob`_-Ju@>iBjX2!3U+eoI?3eL z0n8)nD##t8EeX?sK_osc5;u)^Q#v+OnL#qKTIE-HNoRT>qM;W+3(Odrk!d(yY;Dm8 zW`mk2_gJt({|`67MXXee1K=iDg;@w;X`nAX>$ZM?uW;fS|LnnUKe=*HkPr zrw~J)hi7zr{MUa!y3Pd78%;jEPpNbI54VXdQD1X&GjX}WoLB#VV|{(D>M$Q)latHe zWrrX342Ly0hG|f%8=aJ3_ad}`sr1CP6r%O$?RgE27A#LW_X%xO3pY16 zKu@&XMA`wCk*4P6BQtuC=fX=#aEEr9GU{$y=^-SOe|jTC4y zkKf+a=2y5e^%Wchh{I8&96LKhd^WskkbMArg49+v;9BEvbV4?U`YC1gA-MgfxMj`G zKAgl*T#^d>ePwJMjXzvEaPV?(d5twOjVaXu;6Q)yRCtQisIULHr3dDbuNgWo;IQ!a zEhP{0R4_xvMJGm2PrsbRtn989!SxsBia24Q_H5@SYH1a4mi5BOau3w`RXX!A%NV@% zwY3lxZl9L{bV=!P^fN2>!|H}6+9RQ4TQH^vzFk6*KmK?qV@Rv)(4CzSBlew;el6ZQeSZ~S79!I{cU(Y# zqLYSQnkrU1__Y_X_UC6oZKb0-NJkE>1R5-)G%r}hQd6t!+=k~8x&TNOrdfMfCLvR`!$olp6%zq`@BV!lPT`S;io1dJ z2^=qYE&{CA#-VOBC^VdkR0P~z!wHpy?Ck8)(luz;Kmb&Ps*Oc;z!P|f8E5_QHC={| zGd)GXIPKY}u26Yv$Csoo^Q`_JUhqJInEjgBfeA#GyW-%GImfs+#gsn8W_5lDxcj<` z%LKevU?`9kYHMoHPK?dX`N1#&puDC9kwYs<&Y;m5f^E9h4kBN>VXCWp9mo{$BjW~n zTBIruB6D-|&%nZfph1>9U@3SJXn+_;q%ibGWhV~GdaXElc&x(Q0yQ>6jq8@t|9Amh zlz`6ApvM~XGg5+=#yf5e)$9Tqzc!$#rPYcah+nH6J?b7xN*iX)WX0nmBCT-oLVpv_ z&bp9GLjcxW{N=g6)tjztWqe-9}sDakWrQjH~sbc!cAIl_dUWMqQf z!puLAjbL(rR!Cuj@g%7Rsf$LpWE(Ah5zX^LKBth75Fo!242Bt~-stUVw7+PYLwc#$ zBvtK%msD998TEULQTzOsKFO4HLm^7N(D+AO=Q5UeNjJEMXr~oeqzCO_=GQJEQT$4B z0$FLa^XSDwasn#X%h4lES%x_m8N+2bp`uO>?9Wy{UyZIMY8I5{A zr?})Lk8f$ki5TMEP;|L_+E*C7MCZlCna-zzJIf9TX4Yu*xJYiUKrCT4pqH+yu{ z=BHE{8YbX(Tj^>(C)|!&Ws>KjBuqZ!JKM8IpX3SnD-pG{Xs0Fc!*E*?L}g?mLPMhl zPVh5IJ9W`j%_2s`9U+mz|40}_5mc*8(}2pfgP{M)NK8UPZ@@v|Y({K|*~D=b`yYPc z`;XCY6P-*KgDmp6%DhDw0#Hq)_se&J7#g4uF#q>YWmH(mcN$$KCR~(Ds*{ihzRK;S zY~y82i9ISI!H~V_+*k4(Sy*JTLL;Lo)d?+Fg%J)NOKy#AovpKSg;q^+kcVeytZ1wC zs)aWC3EqCD{M=!<3B?A4W;}(C9b@I}y1g>JhP^_=TW7=B(!O&&UQwv0;+yZ#QWBW{ z+M0UTL6%Ri_<7S(oXV82CDvD3tec7LqnH>&R3^gU(i(WJSmP(K9YC!kWN1IH!J4=E z{&RHHB3ovS!SsMd!AVC)$0`0Sbua>6@Zi0D`xbJmkbpp>@eSlM!sVVqfr6dM4Uj(a ze*MKjs`t)-4-ktW8VDB0#q2aTkgoo&tqnyztr@50WmJrSm`mK{)$tW;7cRF}rR@)r zfb`7@+L?pSQwz4=SKkPTreE?Ib*@O(SF05Ys^y7yjEQ`C_Zn(MW{i36iRvCZW5-F>xp4n(7RA~>FqtTME{?XuODvwMy*1PGt+sXqF%M3)y?M=Bk>*OP z{z6l&p(!Z%`aq{NI9iY0Ugjsjl~M(tB$h6L5TZXO#=h#ipMcVh)N!2GL^Dw~9|9Ip zQz}6ArLGKR)iTaD{)-($d67Mk>uksxu|2b1z;b$KW~{+MfS(`xDGw1c#2ekZQF8tj zh!OF6ve^<`wt>EN|(PJq-rC%Gf8M53z!JIegHrnk{MwTSBo^*f#NQOog@Ad zkRPyRO{WC=IP3^?Oia85VO<@x4N+pr}7TAjwJJM9)j@RM=S(N&Kxt^fYD zn*b$uRkndlv5Zg+R0iDs_*x$}VZNdV8m(AnOb{GiT3eM3>K84tN6LjBL3#)H6`vVp zyoEPFE+!?QRX(I7`O-+}N1+3QYIyb?VvQVGz{WW5kB=fFhlYo1Mi$C$&fx6wi}TY+ zkH8uNeS>H##uq$fPi2@^bjZy0gg|k z9Ql|-VFx-?u-`lpJ7H9PnQF$xCMWMPm3gmSS5u=T47S9;n^4zKgFYnl*1qer166+O zD_05g3k#NkF8WsBBI0JOzrQ^C)4?#?xC}dx@XfBnuOZ&3Rc$6ik5!b;H7+1CIjX+? zE4K=26Ow7(2ODg032Yd_R;*^FGeqOd$B)4cBRQ8!b?>KcVb_krfmZy)Ay#+>yhGf= zuwF_TU__dN67F#IZRA~BW9&TYxRdlyypc}XeKj#nBDbr{ev&aoLTyhQghF6a*A(lu zxv8F_BM}YQ_@H+Cc3Iiv*PFrEb#r}e%@ea}qbPpmD?g#cV__ImAhmi%xsviPbsIp+ z!i*Yd6zp2m#afvbp=V=DNKAb7^ZAAnmj4lJ)MnVx`CHp=Sf1sKYQT!!Okcu0Ox$c6)1W2N~>6sh^xO@_idodFNsaO~5&f31V`1KK8og$({W3kyq-bV!-C|JIJh;}pou!cuHi zM|sHu>lAsI^iD(sZKdj?yW!OEZ`&-kV%fX^n!uiSsQ0psqJsSV`=qWsHWGqrSg$kk zEkJ7;96n4Oi;fHB?Ck8=3t)6V$?+LlN?DzGuwXZq!u=;=XHU838-+bD$<98aY0>-Q zENz$)X73-44^pRqz}l6U!PgO8_k@+Xfe0}PYYaLj1TI_jS2_BbkIF(MtLcE|X1x{7 zxuwF`xon@zo>~S3u|DH(FgU-K6ROIi>$BnkTo8MPOU~Q(7h2L3;|lqqo!IwRlZJgk zNTt{?oCd%HPJ0PL#%^jh{TFAb_e&XBe&~C5>l!?mkWW%#bej+uSH&HX+~f8ly^VN1 z{QC7PejgqYtnBWfro4=f<>qW3E75V$TCVB?P8}te!~z#8TNzGP$d&?-V{93NHm_=g zY-?*voHJ8Dlm7cXy^=e6$!5krD&<`$N}7AEx0`Pw`pO5ki-{4uwQ3D6n&>pOaCY88#crN{*gHAE3L+N|mnR_{h=7a6V1pI= z7@?anIS-_q-b0w^%70N))UrguCoU{Z9l;M@Z1ji6XAaU0@s@TVY>3*G|K=qa{e~VeyTX-kO#eGybNK%b8=&Bx;Cx2s#CsOr* zl5dzJq=%ygr^;QCHh3dd@o&JB##Z5woYw^6xfv}ra5s1pz#;`cqVTo-h~J$0qMvPe z{`bHTz--)8pdj%*t~+fY>-b#9e8TFaYnRHVq*R4f7VmRizL;kO^IFo2&QA3H?ilIf zV;z06*p)LxhJ`Ibh)YNq&ZOG2r#7ezPBrzqWqyC*=~eH_mg#{O_F~LVUUyYkVWA{^ z^Mnkuiod8QqcRpx=b@(64gGo4{$+XY_VWh1BnPDDq!7rl7up$EgjA*ARtGq{NViOSmiBeL zvOsXOH|G~CG6xAB2-sNKx3oBmCRuP6EYHrJI|onEECpV$tITaD4!q^Ut2Cmdwzxd0 zm-y+?rb0{@B3SwgkV@Ag(}`jAvW z4`QRfW0F?9)d3DK`m|Q-u6^ITx@38IPv0)h%@y$-1(j#8z(1PY;G%sG>Uvhm?hut4 zs`tgPV%l*@IHX=j_jAGM{fo45G5n(Ncdbwb1j)1tnp(aV!oekZ3F09G)>qNo8yYfK z=CO-f+?fi|;m4^HRkr|u+naIuv;-`&Rk9ccU<29IC)jz9{)ExFHj$X%um7%40sLq? zemrmj_;gjR0F(&8Qmd&ljF?E`%gvWtd8tz&kPC;+PJE`1WL(A{72J$&;SVue9 z?DHvi;_V(Zyx7JUsfta>B>%$Ed9M(9v`3PnEL{8f1q4_{ElzlQm&48lmF$S&EB=a@ z%tm{*gCEJs$#K{K1bL0$@BUqmJ zE!?FX3Lam2dJ=587uZ&@>&-p47aJ~u>#V?7#V>uXN6SRqx2l;(uf#?~8Gz1>VUR$Nz)&NoYQibjf+pw){+?pSJzd9Vj0Mcq5DHbkC zm@U=VvlB`WF6`z?4Qsm=43`dTi?Xe<6j1;ECr3m?wCwItf71#6tj((e#Z~laE+Ei| zGi)@0xq97SjDw#(dGc#+E;%s~(jfNDm$utEr3)oJzIvOgZD`4aMP6P$J~I0l>yuDr z_cNa4Z77JLFN8iP9@D#h=@zT34DHzXZ6pPM7YlHj`}jqS@=o~5s^W}+jTg8BN+oCb z(r7i?J0g={%gM+9=R;$%KlThiqm`IBzz;YBQ31$~t2{Vlhv`92Cgm%4k~`S;^i7G0 z6N`ZIY&{Njc$E7YOb*n=I8ngpd3E>cutObsiyaAUt>MD%_JhFZz3d#$b3C2AqWtw%P2FbR{dZ^xyK zB9F0Ykp>&z#y;tq?l7jBjs1+alVG7JO(yV7Xg?@l+M@}OlX#v+gBZ`fR7$^n0P6#x zqSi}a@PAZw-GNl@|NjwD$jAsq4pC%}LS&s5Cn+Rk7KtP!DLbW8qGe}9MzZSKq6o=O zRw5aZl}h%=?{)4!-~01Nx4JpbdCv2BkJmb~@W6?AIYZk3)R?Xh1PI7`^nA)>4Wkt! zNM-EbMc>}uWQmIB6y5*gt0su$wYzkzks(k(HGSXF!K+_3J?)6$Y6>rrSp4FH>b;CIX33z>v13CcXQCeDxi#B*tTxwLD3~dsW4&Hy4uc9*i{k!BU zChHNcbLSuTW3#|fAl+&K9z;CBunOt$gQjMbV0m3I9}jzT%@J-Cwm<{YS-rC7mzHRp zcWs2HVOYXACvC{3Ygj=ZgBxMSkK`PpZ(!j13KP%Uo&~(jhP)dmJm-FNoAyuJ--TJi zMkppezBf^q>FX-{=8B3{*YIWBr^vd%7YyC9Lgv6hU;N#=d2faYEM;4JFRSR{qPb@Jr2E2>|0`X)N9S_{d1WDO;v z_YoJSz8$(vUPEA>@}By({za6@vHiHkZzLm19J@*o^I-kD8r)PkE<7Aw+_U@`GwZ>8wNAcYYuk^|A_;{I>8-WX| zd#inp0$`#8=s1vf=XnwIFn<&6j`-0$Dm2*(X6^zz2R6OkQO7G&W-_#*d?cEi>4af6 z*0%-MZt%Rk|B^HL!NF;q{lSgPw=tcheN(lTrV&Vm>!F8#JKL7h|J&0u&dArGZX22d z&^ijtF!L9prQ-OPhT!XO*zCvLVt-+C5*7)?lnYu~{tiYA^&hmUY&5dq4Gr;x52q65 z+u8{3q(=%3S~}CX0T%0QgLZ`Zj_Z(0SeaYs`Y>?=D}bCG+Dhmwj#_QBjWAd!7CH(F z^qdCBCzhX>hIUAmBBFqJ0w71vV+!~U?2y2%PfcRY2yv}4-Wsl73}_G*y#BAK+D!kp@R?uPs~dCMIue zko6aJ<2n{0N8dH*|8olQKiEc3mwc-)4_yTuRlRA)C-q`HC1s~J!>M%ae+q*VJGXz4 zD;h8h_zkv@tXwBrkQ^4cUd ziOOldB**|!ubw?TxFwQ(HI>6s(O!iNz~$H69Dc=(r*>sBb}C-!*TR7(%O~&AbPfga zdwuTs<)K{kGk)qIUgbr;YiMAt_mwKp)zLwD1ZRt~9p){$eLK?uEx0jYO=kA825)1c z#!vVgNvzTG@F-|ti#G84DA*mXL33^-CzB6dBl=)EQDF)K9rbWBBE|MP4}I*mrvPl` zZ#~Q_gYq6;13G`u!`RlgABmT1jeLnce*1*;-ACR7UCWqY^f%KROG9Bq59 zo08MtU5q zhbRzpE;lc4NpUec!dS4&G|cF~yW*!Vq0q{cnbM^+6cmoxM);1kNsOK*ZjQtp6C=w? zNr4)AX1HVGbAAT2G8lPmY=mDc+8@dwErNQ%s=!A0EKVOC+9!E)B$>7K6ctG>CKCrf z;-K7IC?<N3=dj$tJv-hhtETq3txXBUETGPSj-y2S4R;+%#J*y4NEP1Bj|Ha%Zpvdit`sET zoRQ9zZ~dTElAw(V!N=R1pn2z@Z8Lfp5A9ERxfW8FAavXy{@%`NlFw$r5B*DoAm9SD`rzIL=Hwj;vu8Eb2VH)zUcPigAEfJpQUUX;ESqKBA+K9lRtFVnNqoQ3 zCxU-<1I5p*IC<#?pGw0=eXpLk6``*^)4(M_8L))_M~WCt>F+~CK;mg{9*~Kc-cfDnwa|mY z8Ys^ghNBsy66hh;-b0|BhV6Rn23Q(-4}=W{BgkT%Taw_}UC+vD?Cj9=k(E!*zh=<3 z#&1Fq+7VOOL?d2RF9d+DJhz%twkPEFnA0HfS1!1nE+A3P|M=~cD94_xtmLA;V@_em zGaU2CFJnGD=_pEek~}6M(P-D&I!rG0 z*Lo@PN7c*8v9hjy-LBr_HQc}&zZB~=c{TJ_4bYhCZtBJ=@+TlP=Z7=s^OV_GTWH`R ze9a;PxY<&wU*SFewj>P53v7kxjgbN;CGz$p(CD;uD+o}4xWdXx#hM4tQtz^9p*1zT z-3gb=R*ny3bm^I9A$^PDD4j?)gNCCdwP;F!{&FYp&l0M01!q$CI|*HPkvpNGO|`Y8 zq_8mVrpk^TlOJ0W_Hd+9h?sgvk^ML>Z3%|b<$FW)Q^OsYTRI#y(3R0@7z1rV&C+NR z<)H_sZwJo-Tc|Z1$0>w9;5HRMyy1-=g~FX+B%TC??$mW!8bGekT1*->k1f1GU_#Nr zRq1AgkqT2!soNkUCtBG(CicT(*{76UPHZMc)~km6lfsjU5gb3tDBT#di$XMpjLXn~ zUMusRo#=|4C2w1Iy~0M0k9A-vpK(<~-FMj&N^&wcAK!e_o}X=+4US3|hdR{Nu3&!f zRj>z@TRQet0E2_rqjSkb(~Vctiz}*}P-ohoIYZMALBkT#QQ0ble%+IUBp;=sFWEF= zy(d5D)-C;>(QHkYCi*v1Qy1mGu7gCWPbetCj0>Am=+8_Zcz~Ihfaa$89tcZF*viZM z&dcUm`xvkpZJEg3ixK04G2J$P2I6PKHcx!qz^DsJ6Lv~qQJtA)xV(VrQI2Sl8vwdu z1bdRLBFkn!J1>7i0~KLUkg}}Vu-fSuhbs^LKT2C<{ScldYR=14v7Q93688)HaRXIb zI3VdRB6PGZo$JipMuva{321j8@7JA%6Z^NAg1mf7bF(XA(MmNw0VoFva?0byOj-7O zA)2(e9})_@-w<*Gk+-z8%sRXN%BW;GpxyV2v-Ei^q0B81A6LNO;^R|2Z8ig&OYmF@ zG7!c%(^d##gXFMiVRud$VuSn_F z*FCY!$jU0i_=54^vRd5J?t$eh!7_NqDD{}cb#-;|nM%7lCb)l(_Tkh&j%beC6G@$~ zl?~bdv~&EhU;X&2O)@9nuXONQ5h_lE{WZ2NY=JD^XiQ|nLRKCg@vGm2gNkotOQa?kD5;qTx7 z*rIqUN^devgMo8yV_NX;l_Rk#q?PEX{*eQTh6lI4qbC*PBay7m&t_oT{i}wfD8n1C zdMRit&%#7*GliXZZkhYdVds&VYd8bHFM*=Ss`4Tw!5cKnj7_loiUX3)0P@7U26UMz zD=U|_eg<2g<*Ke!gGsPhKW9~w#XQzibOM`4>JV+nlMELK8OA#Akaj_M4{YqMI={_K zCqFh`bh#a;g$+EC`sJd7Ln`^t^Nb8c1r@ykGmQ^##BD#sU8oQ(h5Z>zx3aQH!;4PP z3z(;3OzhFOOpE*#IiOeH+_O35kA#?o2-iBwsC)FyNa> zEl<_U77u4;O0@=N{k(iQy7w8F;f&18Fi%+!6V7=$ZcmCJ8r5I9YGxMQWrh+!{x&vd zZeiiGc#gI7(5N75Fap*o(eTwt84C|vg~Koy3?OOn>VG&M%J?ns+~^P&q+_0 z-}As!uxx4aRmX0j7~Qm1x5!Xu$DJ39sWJuuv}lBqn|4i=;OEw_YZ)JXL0WtudSE`) z(9zKmcS7KbD*HGkPW|dX6`GzewoW!fm?9NnQ&**GTbCSu+ga5#%e>m_4uU!_s?`G& z+Z?h#cThT{2E;9Cwh5rP!4FZ2jNxcDWMv!9YfQ-%g7uAnjSk%7^h8=z1zMCg{_oq^jKUDk|aO~pg0{)@5$F_xo88^);}Z z)~NzHJR%9=J!-G-l1uIsf-)}F#Q~FOohm6&^JOf>ZimusSL`zQ5@YHw|NB(1Imusx zl?UbJQ|{dWjrlmPdae@z&`v(}iK=q;AM3VkO!|{OMOLz}3)^q;p8p{AU`9Lh4>_`{ zsF8Stj=MI8=T3otE#o?^7kj@%QXy{N!TWiay-1!rRmS)EM_kIo&Cj1dAJE*_`n|9` z8;==-$7H!K2hpU=*q0olf+A?nvn8+p8nTJz(#W>jdDMV z<;hy;)hMwl52%n3VB*SZaiq;iJ;i^jH(ApbznF&HbNH|K0x2W+qC~i!mAOnJ);IM< zfK%ZU$9!f%*_sZDGwhnVvz>JI&5suj+JKkdt236dR{Ir!%m}P(th$2tkX%zT@aXuM$Ad2@TFiDMj53RgVciPADjvkDWj7@8JT749pHB ziGKJUp4*x=YanAE92^9@=8ks!y2U}vO`qmt2X%XBOLTa6b=M8e#Szib<$1CalxBam zy~kY8>o5hI0|`cBMCt@u6Ko`p@85sY?j#m*@c^0JgJ1wr(NjRo&`D;drjAL5=J_%b1dqQu;;bX#j)Po}qG%xXh&-mx#YYq!JgYn z9+-dNFTw(d{T{lK9U>yvPhGhnj=kNY>{|YtH-7ksPp|As38DFq$^+n}%9=@Y%>RrN z&UI8z@6Pmx$W2pzzbcp-&)WLze=095EUc-iDKGzW16x#_3C27#Gk(sp-|sdLD9YNH z;+%o7e}mvA#JOOzfW{EA>hY2N+AOHsP(6M}i?&GC%}wl#gS;3@YP{i|b4T@WRoB!& zpfiu%rSY7t4}_0*LqjJ!vbq8H)$nhs=)JpN^yer71Os-wY!@c~TxTvvE==sa>`65s zBS8gBxiy(gMj}VBDcc4~d`U=eAgSFN!Bviub(2!h zWF|f^0KM|=!egF8@mRq8iZHtu->`x%V_$R78d&AXRivlW0FC0zIE$XcaOS0 z?5}=^p9$IDy3EQ*5Nw?yB(<)#@q(Ki8mg+rB_-FOX~HRzwo)auc84B#i3zk&>dXR) z4iq?&QUXzRRG^zgM)9*}J03qiQ;XZ`wj*{4@aq3Q({X2CYHzYt;g1_5xMcxGK^Yue z6||cmejGf&*0S5>v$47P;_sTR?3;IGR`0weUSTEPwB9S4_|y(0Nt_bJAs}!KoBw75 z3<0A(#kt{3UyIx--Jj0jb*@4sBW+SV!=Mc%Pf4?Ui?@Zj}cL~IzHat-!d>0 zcw^Bky03|a(0Wuh*XxDTs0l6*+Jp^h-Rf3I-qApkLY!peEcA#FH`8)6qGaiaGa`>@ zc64LOc92XiUiaS@SQUak!LGG2P+kPJbe8Y#=*%K)UeDXdpf=3&9KyZQ*1+*)*s3#t zvW<+e*4l}NiM<*VAD<+nd9lk5T|?i zkhD2yn#*>l!0Xq8*aV$AJ0BWCZER@?pgPNN$CmaWHkJ$uG4TWQ5kTQKN2S@nvd7KM zA@Amf5-U5(M$-#-UES zw{Dt<6SEzO*hxN)x?dM|R1!F#{6sY4O&x;~-hU%;f-s<`{n|wLzuz0s-!3Np^CjRf z!S$a%5|rrw{>es`>x|gC>sC42MWQLy!{`;8!|L4<=-T%I{$gA``d$+}~#@MRS{`Sy5 L19G;G&Gr8SI@;?v literal 0 HcmV?d00001 diff --git a/docs/margin-trick.png b/docs/margin-trick.png new file mode 100644 index 0000000000000000000000000000000000000000..e505cfec3d8d5787b4d963f54366f45846489d95 GIT binary patch literal 29935 zcmeFZXIPWlx-J}bDkxGcfKo*SRGLb!Q4m2K?PB1O7AELNS7`(0s_)I zp$F-qB=isn$r-rT`u5)E+WYK%zO}CJ*Y{r6oPkX8zGFP)e(vXfM&`SxYRa@{Sk6Eo z5ZZ?-_cbAqQ+FYd<1p&u;GKC}fh_RS=cBFfu4x9p^1{{G%GSa1io5p<%PW>%wpI{` z*O;Tak<(vXXAc%H$|;y!d%&yOcCM?Y*~G6k|S zY#b02|{;jBKfNl*HPU+_OV)4Oj zcZbbd)zXQ@qG^in07Fr?*;n3+zuBu9RX*r_W+875u;1HN{iU|PO&#iOp`c91YtbSi z7s4OPkNV`TO(n_i6I$YFV-$X~d0;!umrp4&YQ>kNDz~)ZBP%&_WK-hzi{y7#g zzhMd9lyz6qch_>Za)+C_T0#_EEzR65Ev~?A-EFS8+gM)Fb9S(DHFLc3*v!e=!_3<9 ziu4sY94-X^+uK6s&W^_ESwY}FTu1l$^Kn~erz_gFj+T%+x9*5Y-x86&bL+}&DQQs= zX_4Ei#ujQ2$Q8)L`}efHl2<3a{d9IxpyZyeF1lmqbw`;`Ts?F3`=@k9#{7|CI|-wL zq2gvwhl7H{3X!$PaYWB*$-`lC^04yI@NoE$v^lJA=FQgtnJdSSzx>9tdfMo?1quZf z!l<%barjKQCZ9&nDc>#Eu~@4v)V4T*mRodt{_g%&uvW-jZObn;M?XMp!XPx@B|zoE zvt!_u!S=Yo(c4#_1e^pfcfXwecJ%98(PK=0X8TsdO z*E!w{7a13qGMW| z;Z`>zoTFl1ucAKEkWxQH$Xq~rH0WtUZdgyl1MLvKBPdk)7% zRt1#;CRK-U(TWja_anRC zXyoHk@+dLX$@)u{A~lZ=PiaNBVXd2sT?(d%?2oV_)4q246}Fg_{RooIb?!V@p#Iy; znh(2^#5W9@Db8vS)TlpKf8KBKpzp@WL(3aWlTs(OOR*(WakOiqqH;XP@9SKX|Lgd< zvK*^{O3cA-U>xsu%9I4YxYi8GzWX^2>JGRh{H)SdmLy&t4*PFGWDy?!cNiLKhKo0mYjZ3Sdg zT{9xj$e2zTmr9jya-vBavEG#qBQ;#a5->slFJHF4{$Tu{mXYO;|aAwRH^V?vCWk3b-{)#DD!>T~LeXWaM~cD+iJH&M`n zLoMpxJMC!a1b9b>k*QjN+j!%+6Zi$!GTCZ;3ZiW3JUeAtKpJWmHkI8jQgq|&TBEpA z+^ka%CY3NxcElb+P4;KCoy%+OytkAvUIf-0B|)Di*iMa;k=OVK6kVIIfb(1_HwDE= zF}->Xu}zMMOu;W=_WkU-B2c><7BoTX7j?z7C-2~63nSoNUe_|vT6OXp`+Se`RHHHx z$TmW7&!tp?{uH=Z)k3*FowTkwacWbzhvK>sIzwvRJW#{?{?4aCYV9Xk5K>AI_Ofe0|5q=Y2aA zONIH8jOu)MP71@mWqPV^&R5H=klmV*LZel4+1V8L_SGBXD;0c;!lUIDZG}7$MM%Gm zx#pnJptgjtcP*U4hZ_`c3PqHcMXR7-s%}3atjBoxprp0iSHSzUCe2Y?6NWt)%Ne_j z5blQ=c;o%rrzD zHOp`wQ=zdco4#}JPHgv&a3isj+t6>GDBndK0B3@PTJSB&E;q` zzo~ltgkjB2-=;EVYslZR|u~NZnmI zd6~Q7xJms|7tiKZiawdMN6pXke#6@ngzwodJ;5gA-lXvW)6_RX0QRis; z$U#(Ny%2`+!5ej<#FMHl7xD{A>orJW+@l&a(xw3yx)}BEs;&?UDHBO)_NgY8))v`W zdTS;gDLKX=YH+Zh@8!?D~(b&6JHJyyDLp}nZ1Wrc!H=v^ikdiC( z@6>tKR(uRM=PyrotN7h1w%JTKAHlXRAOvDeG9B{9he^Z$Wn5(*B1!tCT0*(y@SGkW z=eA0e(Qj^j+;=-=@bm0x{$rA^=vvPwTidzbi$(+bZe8~1vQ3FvkMbww zakZ`wZ`M5`&L%?TOE(g9#V01e$$)1>uicQ@Y8FW{WsDj8V6)eHk`nJjd@#=n0MX-) zN_(g!6I=)vImA~#d9zAVVPkS~Be7h;iJw+A7;#izdo#AZ3ir@jxw zNpBS<+S}O`<-jC7CP$nOQnmeM_0UM`KDegdwMo&rETt%B!PJsHPIYqYSk{;#Y&^}? z0N-I{Dti#7Iu$SOZfIwvm2T@$SuAY4*I28%c(`?glAH*weD37>Ty-rrP2ljM>%O@^ zv;v!v6bq|&Xw{Lam)s6%ODJ;ipKmCq=lEU&?rZdBa&znpdMa&`%x;c*+d9)m>~TaC za`pB4G6Z+r3B%Vlh1075n_=%CR2CeFBab<>iEQ)tv>DBQPYGU{^2SuTfy z$$fz5axdT@Hkb+3d!z4qgiw9}Cpn~Uz%h`MNp|AwmlDcfXv+v1N?8csV1RvZ- ztxu}Q!H<_H=J7yac4Lc^Ga7n5@P*aygwl%6M+mnXJ3{W<8+hDQiflr7>kNvOQuC_w z6@!9_EMCHzyg+=?Q#4sB9{2*E>s!R?4hxZ+0s(|cCML~o{}SR}#K)(x@#og(Aar(e zf1hkJ%Gv$uxnF7tRdtF<`6#!dSQ^>dFIkCdITTa^eXfowbrj1%UagnO)@0b~olW3m-l!6=VZaw_i781@As{MizAXk7M1w+6 z=hmE(>2q7vyhM3&(L#isrz4-{En#s4&B>dz=uh!j>s>ocDEhs zj~U`$)b8{yBlXQX5GUF3Sy?C((#}E%*>Vn5#_=qrZ!L7;qd`P6M;pW*+|ObrYEUHG z+VyJ8!IzfkwS8*BqTI ze|-^J@i*A=<%=lTl8a2q>VCLCzjLr1pq@S4+4hUL`AwLzm41kJ=j2Ke{_zg81L8 zDB~ojR%aApO|hUN$4V1tO;A(`)AeGaA@9AejiME@u%An zyA02sM`8WU&#m~;!!?H9joao@ zU2iziDh6H8FZ&J}lGl4nGK)b`b?MXc8zZ0riY%=J*$QQ(y`WFUI^cyuqqt7byoP(@7uzyv$<eS^nw|51n z*4fX)x|k0ECyl6Cf6Y2-Y2o@Dhe{;+b$wTu%yYQv{ zZfo~jr8p}r(!6+a6kvm17eKkT9F8>r|J}&Gk~~X7$}UMcZ9QIgb4K7mD#q!?k>R6A zq}OgReJGT7H#y$N3)5stkEvL%05mm5JH`**2S-+KXY(!CG=hc{)OfDIHIH#;pM$Kq zX3L}J8XeZWE9Es2Bjn~Sn24Fr7E|fx;2kOl9Ug|UApuf4?m4!-1FgVAVRavutq>!- z%FYqd*?v7Cx%KJ_ZVj|Hyp2Cj7DXgl$Q%(be=UF4zDi{_*T)~2f-fkHe2358US$t3 z|FG=GZ^w_Q+=m1Dz2-FH56TtZ#Nz{BvMAmUbvRXN?T}dPLs*WhsC92n<_8^;QGRmF zM~}l#D^UaXg!~j~>*ZJMG~%n1>%n5ky`L*-lDCyF2(9^Je~@0bVTHR6G&ghS?yJQ{q;sP^i6wVD?{|PwB>p97Ad-T~fJrAt9&|b##Lf{n8C!z$44)X%|Vpi44!% z3KLuLvv;qDP%Sbke9GLaPKzUTzp!5$epvLl9fVHG%gj}~kr+ST>EHuDNso;|;A$_k zEt(vU5|NT5WEZQ#uTV?!UKuBHb4Q)mlw2|whY}#pzmxg!<@RKYpZ7={vThU26&O4$ zw;i{MN}eFj4b|vnbEL|BADBj7CJMJskU?^VcnY22a>yT*oK85#y!(BS+k&V2t=n1U^e>L|(Jr7<~|9qD*$AfOw zPm!7;zKkIo?=H@XD4I-=W)g&xy=UmI-GHVdTjOOSkB!#IOtJ5yKQ~F!kDFB1l@#8o zQgD(bKwHU+x1sU)PbqkfHFuS4E(zKy?351S4Fh1#M?p6$zcjn#x3vqeH-)Va9q3{R zr2|M$TfAxn>RLef&!Zj%DsyPvbt1&VM=S^Z1u1Vy;m*Y0m?YRNhxo$$nxkVAc+H~+M_&DDExhdAcUuDSwVUwO(+8aZ&-7W2)_*(c<7)pJ z!O_0qUJp=9E$qTryiIbY|5W#WO6$`TcUu?E02uiQdmxlhGH1#}=}3Mr72^?e^hl*N zekVEN@Y>Ee6`Up6IQvTJm2&c-^(0cGCj@8YkLic0t|Tr4BDOO$Q-pAuULp{_+*&-ZcpstYKkL%P;@9+^F=#41Vs*NFpaM_+dnOxu9lF3V~6914hs=B zlZv2|G&ZO!aW=u6JIM{ebU??yNP6%@V?=M*Yv+8Yuk|(CII$YEdk0QDYbD-%#1=m> zRVtLY19<8|+9t)I&esE!9-cZOB4C_#xu2J7ITm@)*raj89}>5a)04BilUA-KgspnH znQ@Hi<{?lGHFZqI^0&UNP{Ak#=P-|^hDNHj&Zv3szsg2_p9@y?6l{BId3H^7dxWFq zuOAw1ZNI#?A|;U3tJ&&~Ub!Hzw9y(z=_kXD8W7Ag(tV(7C)r#V<{Jh7F)6v%@;fD% z;)RW1#v9g_d#-#U-AiNN8%0Xbr!6?9NmRVREUBf;9Bf5*92k?kGx2`T8w8WFO-)Of zC8`#Y#=2L9WG5CK>0$3=z7{be9UrCLfERvu`yCz>0v8neB_LU~)uy*ovmByW@AYih zO`C4$2*O0n6F_JYNVr8z>2j))4726WJ1vai2e=y;_DM%~JFj*cALHIfmmP^l&r%*#^B)W0+Qq5E@0^{g5;h~zcBXUC9G8c%_E((>Hg_Fm&g zkMa8BWrZ)Mg?pBEKQ>F>cRy11hxGmi0*-pBi>rsC2lZ!rUGyk(kNge7m$`H)Mz^W2 ze%w+8TPLr~{H6Z`(}RVn;}eI(hyh=$CFFcZ^WtDG{fsFhGEkr#wxXe_#@2uoT&Px8 zu}^^Xy8JZXpz$@{GqtDi2R_v>x{aNGn8vo=#+CA>6C+PKQV`g*SH4U{Ik8Nf%7{Pl zytS`OnIe#ob4=?!kt4Fi$IUl6bnJ)Ok?cMe2~_z{ zUF_(l*&|7R`u_h++K)}Z9fzbZ?OIl%`IZ%_Ii;}N=G9>j;Zl&^jYF3%&W_#KAck%s zXh3p(*TSba<}#Oe-SdTzc*1eHwMvANQ=;526;kN zPYPlmixmo{d+s|@&$oJ-%i>Mv)Mt2g$1#X>ewUe>q760ITu^QL(`cM4o%vL)cZBSw z3iaEp+k%1(oM z**8oLzFx*{p_8Gp%ywXZ8ykglU6M@oSC3d{gmi-6F836`Oxql><* z>{)dj#Vf;nH?m ziYsvSLkdp8hBYWCD4ky|kbHRHOqVnOJK0;$(<5E-N@n8s>t9;bM`-XrndJQ^d1sjg z#)VfDSXhrPMQQ^BgJOMw$@yNFK{Q(88q4!yeOdlgoFOD&R~ZZrR|)$oMLo$EFy$>3^`>-`~%m;OOXB zZU0&EhOjWkutKczio_%sDX&Eu{R><+v*D$yt4qzr6p~rPBpnTc*h^P7l@UZ4?C{d4%!qd+^Gs@gxvL={}(!^#IhrnmQ_5E;X&x7k8yEvN133T zudh*2Baq67m&tXmwm$|L<2=e5(}xe+Iuk?`sRy#2TzJ;^#;PY3rmGuk^no8NHvHv3 zWs|>8v&%Z&nZfk>*H?`Ukd_w|t_uh}h6}o1kK$7|(JsB7dimd3hhIS8BFyFLHXeg? z8v&66LcCot@F;5k!}R+<$(jFRbbe<52L6~UEX?8ZON)P;1qcHdS0HeXzCi4eZI)M7 zSkKdf96R#VQKoPodCK>22W{P*d|4r0+|e*i-oGD4$KHB^UiRr9`}krV_>h4hcw+P}FI=a;0 zjP7?Y@Tqmu6S0NIAvQ%53e;c~|2Jm{{*zVx9eH9wUOj7g#n3pIqeVkQGjO!?tsW@K zwWEENv|6ke@i##EW2W(Xe_vZ$Tk6jh72=cSy`Q7w;+zG?6OBG3{Xv4Ze}(%tykz`;f#x>I-C~=*t(2h0X-7K-+<=)8A|q zK|vGZ=kE~w#RwML`s1In$-h4g0l8{1_*KJyfBQ7o#UuCwn9~-;C!A|=u_yH3S%;B{ z>3yN(xqSj2CFKAj=by%#1gsFKZXa6yTnq}pAp%T)?6I@61BkZ10I*2*pX>m<6>?BV z-d_>1?mo-)I7z%fJxv~vi168$R2Va}icLTt==ilU=yjU$s&x62)8s;=TWe;x_%2_L9gan`auX(x7tGHADQK0qBtwQc_ZaB~|a9_6OA&R2SNd z%tu#t%^B%W?=J8yP;pZgn_m5BBh0R>wwTwV0X`tafS4*9*_| zWNoZ0Z+oXdS5U_nzWPLz$F*k8^X9VXi-{jh_TBqK`IFPdEUMOTtE5W|G;x!gRN<_W+Y_JpO<=|4?)KDNMMhI25fM)c ziR(@DMZnTk>&9F6CbEGekz~@`Hj2E0avJ$&)}1UhKR-`PODpHIed+e|pTxy9{CmLw z`nRwoc%2U+uMMja7qL8%v31acGA+-%$(`Dl75XcgZoM= z%(4|%r2M-*7BA9WH{Mu&Pa7h!eQC_RQ@QnvuF>Jba>+@{p_rjj?@|8;yHb|@H)8Dh zRTpD<<5CYtOQWiW+N=2K*?!hF3!U*{5CR*1CX>;&hJ!~9Uu$s6Mxy8D|Y7a;27Ur;dV}F?~(yKZe zZMr^e^}4+XOFUfdOyeG&15_K7oe+jD-bok3v_ISDiO zpMBNJ>|j`ZW2if^a#$N|RnqfWNj42v*%F(P227)Fy7(lp-frE5A*`<4XZC=V4`G|G z%yhhrF^vs!^%@xGi;9WYZLQ1XZ0AY_F)WZPDEPP*^Xv;Y|-^A zD8iZ=vzaO+?>XB!_{^fFRKUT6d76&O{1I1C<pR!58Z z0zar+QxFK<>wPPqy`57C4mK^n2k{=nkjRqg=`=B#_g#H)P`myvzs0WFvN z3fgfnTB8c)Dj|#^k!kQ~^dM))z2?~{-X|>L4*FL=daV>xG6{^po0I^f0|Ybt^F7E| zIoBfHYG}7)&0h@=v#%gBLH4;W z1c;nUmL?A7*XF+&d&AQsc*E!^lfu`6!bwE${NW*G7_uC+i0b(6D8c}!4Xj#(kHU{zV*D7Bdp4!ZRI&&dK<)`03Minh%IfSDbbXJIeIuAMSp0#=v97U z{=g3jQ3j&lu3vr@#Ng>HqY@Ak6X!9-+|9pKPFWxfUf1IaEG?AFGeS9W1x}o+g6+E} z?Bp3d2@@=0kU#4 zYpK~)AAG`5rKDAlKi`fyIG=uBE8R|2$3tlc*FKpP>-;E%z^N@OgIJ!^O3Ky)DBw{; znEdPZv(*3#aP|eRjhPn~R1YU3wBOKkrY43rKdQ!(`ciO_%Ex|e0IBT0$|i692{HOeI?M4fNB)KU zkqS>E059iog<2Zf3n$(NG9=Rb56!qk1A8;o& z6UJ{{H1XZt9PIofzWCE3#@+f!*pnP*INd6?I(2a8((!z+Va!ELy7S3TPk?ME{i=Lx zSjfi*RB@&d#_gL+{n@JMsOrKbl#o>K(7k36BZQ$12ZCMFDp1dUcxN_l>{cusF%Wub`Gll*NE z-p81CGg2M;#oVaG;^F4Qk6PJkf=3+}Ageu43aMR?zjUj#)kN-ytP8D;e8Zm$1g-Lk z7CM!#B4Z=(vL}q&*S}5x;pnTemH|v-vPyYzj#Mq@VTtG1IeZNv`G3F9^l8!_focLZ zHwwd{r>EUR=^$nJM{5dj4WKoG1c4aK+i7oB`OiYHbBi$pdRn2Ky4=JY3gZY4x)!S z&Fr~_IEoP)`@ks-3eCCi_3+;1T{NcxGIT^gUH7P*_8q|Z;;{sU^m%FJOVAzG$)fG@ z{yBo2FC6E;rS4o|n+Zu~DEx8UhHz)*a<-b3m?-O8@dOiEDQlIY8Iv|C--@*yeVEI& zf_cw2b_#aGpvpjS0ltDRXf|&=HjTIHHF#aUjVqyeTm^DT&3pv;*V14u*d}|t9s6~r zkTA;j-U-fo@hNF?bIDwe8Uhf<9zavs?@{^=W#D+@%|~tBVKU~Iivg&f=)TkoD#}o7 zt~~etHS|L|Pv2`kDHHZHalArl<+Y&j0Snd&dHbv5Wk`*`Y0?b68p9zF!>DsT-=`O7 zbh{0zY>8Qb55loSnKn=R+L)7*W0Dv<-tw>zPU_L_&?bxqQ$h!Fz7Cv}Fnzk|+SZcE zYVSE@v0$+)TebL0^?{Q?)%;(aRFKx|u_|m0aTo6%5CADO^<69H3LNLGI*e2|j>Ngz z#4V5!I8ax(0;jlr(smL`BSl(+T(%l(UCfLPRWrJPwlN6)-D8=_4}c?M~_< z7sRZ0FO6|a!78&0Nt2s%WvO&m>;T@1UZ7EW{l1+!Hke^~cd(A!idL82`9f+WrLe*a zlPaB`eN66_>Pj=EgRH6cn8`^9OnpdBCB%6js^QT)UkX7S!4A5|#+Jtz6y63!2}??) z@Em^u0rCrSb~`5SHnqU4%8 z*Axz?_QjkFZ0ki+89Bu)wUZFL;>`6 zti;0mZ}9CvGmsA^E;t;s!KhWuMT0UEU9W3cUS)^xt^;WUdWHp$E`An$Q4oY6ldwVz z0kL53Z1)KblQs0XRNPIK*Iu%zF)@tc3&k-nt^pjLF#vLx>}1dn`IPt4VfC)=)p?L< z70?a^9P&Q?(~!IC-J@~`I!X`C7Erv7#6Q}y&Yz+NP@1q z>|h$#%*<3-;th!O_^^|`WzbPM=U3%NYZrQXDDm@OG}WH)e@f8RmDHYpxU8;vsM;8r z`?UO;z-3vl^&n=Gk@kh7_!uj~b4K~b0?Btd+hEF3;dpLNAK#T`aK zhlFWABV4zw>FrIt$Lu&&ODs)0bXZwCp{xX?askC)I>)g|?c(a0PpSa5jWB-b1z7Od zuF9Y;x}u)=X`{g3hn}mfzG~kH{%X01nz4ixB z6XQcu;9Q7M3CYS*+-uBmY@oM522CQ2MvkqmYYZ^9k~WM zQW^-tLS%7-;$-nt#1JFPjfg);G{P7k7RcP&X;rMfE!v_81f9H{uF{ecS65d$qs7lZ zXE%l=B3kLUPB{3x?I>2WEn-?aS37kLe|5@trgb%u9YZaD(rE?k4JtSa|vtbf%7_!vU5c4s5 zKwVy<28{q@wenvjur`=Eoj!Gx5Zgy8)_)?%{TH(4-!-6rd?V=ZYIrD%ST1PFxdQ*Q zQ3j+;6^sm@p&A<%`WX2XDC9$l;I4mxboh^fz{t^cN#R#}`}^kSM*>eqeSJMwAJFUo zOt_K@orKj&hLM|x1TdiFMBOYKE+xp}7V`a8j!GLMl+f#UjixVsN5d?XFlXI^Rv>b)?+zZYXJ6(Dlt{)Of8MZv>*4;OK<(u$^T;E z9$z7Oj`%6kblGr4y5AQKrvk@vFo}@SRE##VH`0*ruW(#@y;ZZ`U|Zm*L{!Njxye{@ zCUa_7P;Nb__$JOg&mHD!@5tY-%rZYbrW;LJe^6Ck!T9IhHPzrVe zlnzs8AF1Ftp0C9l;Q8gtm$~^k zQ#vkV1abZZ6&+xay{FWE8VqPWL&gM_pPNfSfRflHgUkXKM)uGls1LxyiX^pfvmX*0ONnt z-z95@^7JqsXxPedfhy4LA&?*Eu+P%wxmljA0exQvL+pNgj@#AE?O+?bg;huH1E5id zYpnG+BM-()d*o|AefsqE>(We!FqpSyM--%(9xm%uPWi0#XR3}@)Y8A2rNogsMS6_= zcZN=!I{T}uiyhPwMm^(=rHqKwPj)i7V|C>ya(7V?hs%z4)#4MJ2vH`D+?`9%V<#@? z$mHTk!zq*(4N&9$*+^9%W7h$1iAiFC4BT9~{WhBO3ajk^l&460umBYj_<%6wi%&VS$*dnUnDZbvLQMUR76@7qP|I4v z*$-wpDPBFPa(so;;cM~G4o>w&#LUn1r}t@q`)ZbR^Oywmd;P5L-D^;!mvcWV19`c- znORv23rWt1^#-b>p3vs!P||OD6rm2!KJ>koRlr->fww^ojR!{CIR+f|i!Y142VM>rZ*Vw3dz z-H5N|!O3anIm+H=PW4*X88Zn}(!z|h$xc`MlNiuw+*oyO)q*FxG+cHxu&)vOM`@!g zZ_GC+mEXxx*U{D%O_O^5^KEvj&yjJIYiiot+kuCifoMzG+i*r5?iOp4Ub-ja8wD#T zTzljQYd>OjeKwnQe#B)04fSOGSlbE`s5DzBdREy@TF7-4a%);bO zYxz=(wn(Neb$Q~PL8%pBV<-#$^U=Sz;T$!7jdjfeuGP=lbo}XTR@0qUdFgtvr_<8et;?^Rih_Zt^|L!L} zV*Rx#Wgo3PqT=YdHX8wz2cKl(^pZT^N)aaRjytPo>2Xr_TGM=SRlpHJG|Y%Kd()8C z*&g|WRSFqHISAxbJkT@ML#{*{#R=Cw$Ac>v@?o{E~&0 z1?j#OaZ^HvY3Jtt??b5H^Z5%Dq%WL$c z#6+}Ip>L{U(mD@k4Q+QGx=B145Z$uAX(?p!{!s$Wd)6e@S8q@Kx_ag8*1;@79!;dX z6>y^4(o2q$?6No^6GupKOL1H92VwH8zkvrT;8KK7O-+r8a4*2%>fO6{jOTJsiqtVZfBrm>0boD* zce7Q?j=G*9vrHJXc4+onSSdYb!;liqg_?FrWGLkz3Wz_hrSE4WD#| z=euu4`RR*9_bQhTlo$~ZCbPCZo`XtU<*>dw(XSmBKWWtC#4c_dua<2jV%{Gz!cEqs zHEL*k@(wpP1^;Q3!TA?&Utj0(inZM}fI^t5YL7hdEoBFX)gLcUq;+fPpVC5fu-Z=W zUmd)oF+rWr$gc~UsfLCIE?L=HaPCFZ%+u5J*|TZvKsK<5&)&D+LtK~MhK6nv2xu%2 ziiqgGQr!CV@+HofVlSqD0GAT?_um8ugJr4)-M)PrnDU9LY7!Jl21Zn+RMvwEJ3al( zHsPFprnQftm#=SYYwG|*v?k-_moaH+`1$#m=x9;Dy>&q&jtEZTMk^;3Ez7k)YB02> zrtU?CG*IUU+MmAH^H+{`?yNzp`oH>8o*cj&{r!%@6sJG_mv1^q|l{YRDAf(Nz+*`L&0iSJC+9zKZ+ReNW=ZV93V{w`D%+B+=#zjrrrXMv`31Df$#^0Z!Y5_qq zV0E78N|o0Hq0yBjLBnO@Jxo%nPz~fKib-IM7d?I07w9hp%bQFFwh22bEOCGA1zEbyaxPKf%^4dOCVD+wK9Kd zt>|_Nas?(;vX18Q?RLbPx=X_Z35G?XK1wLR!B7pbTYkBfkty>Q!uo73XApzn3B%>1 zU9tPXFNxT9uIDsq;WJ}>N0?f+4X^hX#2fKv6@A6(x-C@SF~;VUJYMz1ppZ~`c@yfs z^1RWshOTraQ7|` zX~?Ckld*9SJ$drvIkR&Qc0c&ZjOJ8FMd#i5RNP0+#bM=2V|Kc+sR@9?7tNekuU?(i zeMpf>&&bFWFS#!zC8hZ0Y+G9!5uBX>{Kc4DY$!Bf&m}Idn>{c(ItuVg@7brX4qtHh zORc)j5NtBF@_v#Z_&u&=NJnT1#mH5ODEClvNfYo6y(@Y1CVAd93!A4Nuu+KL8PW+! zN{mR1+WF+&C6GiB@VmhC?0v+Nzd5nDOT3Ov7?J zg}05BRS$Vi-C(?E|kzE6c~1J#n?-DK9xzxY$KP*pla)5Ul!I z*uyOXK|+6ibyeUnQdl;FbsOtm4T}H!ba}<94?W+~6A--c)sYQw^ihdUTkYY)kD7X< zHxjt9OnXg1(G7{(kk-D@zKqYo3|DcH#rW-$M$BvvLT_wEmHL{U@ga-xRE!|d3Pu&_UD8iEuk@cLzcKWS$ z?7lwR$-QokyG0euHZ(VR?LyKAurop}@6rvWK?0#77-q(J%;~3|sHq^<2`9J$F*FFq z3mNkuf8LiJLdS)ZYuEejh3iIElm=dxd1Vpm#8|qLrQ8A;fFlh-9Er-z)%g;vx)OIL z;TQuWqn;#*qV)92i&^Mb(LA-@rEmFsC%(HVQhy$@s|qyjd*m?DrD||GAAr*%8ZrA} zf!Ye)0>l0BPbvus3H^!>h-bTgZHtT!43yfV3x(_T@5fn!#t*PuF}uMfbdjm|U-rf1 z`U8wIRrR3zjauF6_ykvp%x#&$1$&Cx{sAEk!AXqxcyjC&FZoF|ElyYHv*9hQtneoE zm9c)J^A|ba-F(CH+?mO#8BtGDj8M)Kym-i<>^_WeYI;E0iXm>Qjl3wAbGjD zXMeuCkmkReP*jBftQdTgbm^1I12w^%%mKS{B;|1LMjb zFQ>q#a)1TF=n>ed^jX7kb@d)o1ThnoiFuBSpxbp!V-=44fqQ^9irl%g-2wg;D{Lwx zn4O&+r&@Mh?Oj-n_YMA+F$oDb0-xq+7Zw%EiZ~Ah6B0m-_6=eL%M)B&0-=4REn6 z2wGZN03hb;6M#~K07(JG+u|2PVTkq<;E}4Q zl)*DJG%~0~()@|I`SZ4P0!F^$1g5&mwTX&vo!{1&D@#}$^h2a(#YKxD3m?JGRJj`9 zApr5q6IEN_%N1H$TA+T{fRYU;Tx(0qqj8(^u`_SkBVw{#B)9<@&EaWYv;Nw-Y;dx{ z`s>+w6B>{KX-Km7Y)cqmd`{-(rLObs=eQrlvt(xal1j7p)T_74pJi6KzHohNl$RNo zt)R|6)pkKcm3QdXM$hQp7yxVufGU6?r^@+yel$O?adp7{vre8a;Dvyx8CE*M?%oXm z;F9qm>_G&F|MK7sDyrb<=;#P2`Frx~2bRzFa~Ma2U%XhKjtSPSmpfeJ6-)v&O#)H4 zv3GKI5h-Cx?IN@~LB{XKId_6`NPgg{TTzzQ!-t&8HP0JD6_5qzD^I}b1jg!rb&U%W zJvUnwp;nE`v+Z?gxD0N$J4S{*S1L3?u4QmK_w0cEz3hQ7HYrzd;?u5te?T1?79QT+ z-d+vpGRVfLsHotxmrDRWaitrZ0n{msMQrT5OGZ@Gz-Xy8z!sB?2ec9rm4N%0R=FxA zo-(2Sy|knsemmn^zbMY?Oa5Q6qHd{b*{Z6l{I$9)LER+pmWOGd8Pb2zob-F6u1rjA zqoU_<7|tIB2N=O6s< z{@PDJF!gL3dg1E`AUVmyM$VU`C2V@1f#zD_?QCmAoYD8MvZ2X_n<=kb)C+EyK2E6c zGYnxix)crPoPZ@-+?x4btn7H#4jafougP)IBxx6(2;w;^&7IV!Dx7}?Hk75xYOS}J z=p^P_J7uo3bQ2^7Ahys#QgQ8x%Ig5EU((Wu&&jo~h}G(aNsG1fH0J);t|tI0hdRK? z0IeN>JYw&6FsMazbabF~n}{<-fNG`5^;4PC-+j$6Vew9$X8SyIFQ8V!ruDK`o$*Y9 zhBl&!c0;*fLbo{A7A1@#m6YB4*i`d0{L#Soq>m-%^*2c+N(j;ZV3o~gNj^Tl8-iWd zHV@`KcmX;^ut{wK?XVtk=o7*uxQmHa&E2-6-F}s4prvd?vX3O0^ z(d_cV^&7m5nNoAp{D1ZKLz%`&~%E*2~xM75I5I3stRl`|NWOVuOie@zsSu+RSN zVS6-~6~Go#_vR+epFe*GZNNFR7X%*d)T!5R-*)6UnHFd`J*xUHbS*i#=egJSHwol~ z*x1;}$mJ_mFaZG6X#?D(HDY4LMMYIAj>0m3!?f|GI1{Z|9EcuY(Z)&gQU?Pz*AFriR8AC%@au&W#3-L%zo> z6*sva8@IW3sdMM$Z-3QX^ixF|J{qA+4xPt}+_Ow+ZF_NTJ^AH0hr>%6XfHmTzbc9m z9$Yue$HT)jF)@K{992ceL%W%&2}&r$D{TdO<)VArq#Dni5((2H)}g(dn;Ye7N>tLJ z)N>rsMiHljHA$3fsIV5jRTa?8@uY-)H%-5C{pHMQl^HhmkFiAqAx*x@g94Pcuw=Rt zkoG&FVVC``-sx06@pw;5DS#3rgb)G5W{Bw{BN^6*4&8Bk%YxaPO(j?KM81E7!?>co z<;2#%!G|m&jb$-_M7YERTiQl-^}}?-92C-P?iov2J@;I$8E|3KrcKP*DSojXw@6PO zCt1EZ=J2#rD@+7P+!t`h-#jMz{EfZO8f$|E_KmGkG5gVTkL>Zx!&t`n%Fhd9X|I%3 z?`VEqT`R6M+gJAt8>)~|L!;w`F;O7_fy6rdY>R$aDV#HPI31tAemzv^{o!TVy(hX) zLSDVvFHT$uhx1%lS^EvNp;-in#C04rzEXiqpUa`Gn++muU!71XnCeyCm zeYC6BGD_gScC}R3>huuD_w+DF=Vjn^E|KY_4M@oY`h~*-}jdGNOx_u+@A-q zk3F$Li>Hva@NWP7KYUzW2Viyz5vX}EEEv_C9~*<^ObLafkcULj&g0{!3o;WEk91W< zQ$qFQcKG=E-jU1K`4e<7=C>*1VsP-cm<)>?88W%!!-oR54#o-IG~TU4x>)cW?25)R z4cK}%T8)&g{I>l`GM*?Qu&Kn?(!e0oqf4JuJ`xunb0z!*REy$S;0%vFc8RlZlw7UT+5;4Z~;o-^MX!n zM208ck3Z^aYE;;*I@6c+jO?bWo3?g#Vtis{Pui0w^Cy41Nvprv-E~iakF+8~`a(!B zD`qyocb^NRvF<~bZAZ9PyX*1eD#JFCAp%Z4=>bubL9UgIsiv+QCGmok?18rDZGYu% z!P1fKrd*9uUh-|F!SYiUsw*ek4PQ);4}HCN@7|(R#`u>jqobaS45Kbw%K6mOL&Kg4 z9wctNhgOOIKwAOK^%#H$B}2ca>Gn#qX`m-yX(OX3OGVeVZEkMt`uciCz$8`#>a~wW zJ|2C|Ss>ovmAW37U7AmH#C$3}O9@qLKP|a_{dzSuH90vK%q(hv6%_x`x_!*O?>B&~ z>TAmAI5TfS4Z=|7{cX$q)gT}+WA76GI6pc%`k-RJuC9OYMdQ~+ssk!&Zh52iquK$| zR=fO+@vQ|uc6H5~pBKNtz`axu&L|m*O5Ai~QqNk+F3eKVx7$8i$7{IhhB*H?0mnw8 zMzbd!>>}dg+T4bR5+V*iN+Zg{N8*RNl)(ErIei}-9E_CQ*N)mF`Mp*C$$N+}(1l*T z^|zHBuFt##e}Q56db8Bslw*_Am-hek^IKsC-GTIV~*ud!hG0i^GCs9+Gv!pznzHRocd~ zXK%@^UPnwxsW_fhIF@9#kL(&RVHjMAm;XZY;vh4M=6m>w&yz2UX zP6W%Q@|nK#vA$Q{lGFk6ZEv#Nknb1Zs`EDdjonVI-cFm3+a1xk?RXUM7Xv$Uvh-re z*vi0lmfQzhA9xpQ>5d&dA@#Eu3|M`!A1zM5sU&C?Z1;K@8E`(+Z3P~{ibR_aMK^9o z4jL1vlPNN>iVc*{);6FWP-djQX8~t=v)kjYUnh_o2n~7jryAT_J-T%FD= z69)aHZ`_&LpFGxMEJG?651Oh=w^A<{#5Z7l-8jMR;ptgZRkea*W^O*+L!RZ~=T|jN ziLO4sc-eDLmIQr&e_tO4*vPcEX;|FvsdlZPBwX5YVLEfrh z_svOr-n6ec>BZfP+p(SuICZX{q7P>19^PI1rflHR8jY@-6YD&jW3rffF{<9G6A{C7 zYnzBBKiTHoJta+JwJ+RE-dJu5ZXT_an(q7*tz_E%eJH-(q}Olv;DlzYP=kBM27~L& zrWfM_U#VidkK5XLC{8Ao>Cb%lkq|Wf(=>v#Yjr@$H-|+w1;Q+^Tg!;Zz9~!BiW31_$RDfhOsjEyYD!mg ztWNTR%~11A+nMbSiQ`y?&Z9dAa>71~o)=m?nLU^V_smK6LG~vyyVd7Pu7b?*j12Sd zC)5@C*Qom3%8SSgiwpA$7%MfMZx^KGSIc&KWgQJbdo3QI8XRO19w%zkp{eOUc;KRA<2p5%gs_O4G$fn_pI{u@%hlASlxOf#ZWR+hYf@fxjoX+ z$*XpeO05{*nX1Pte(ZSM%`KZqIkj>Vjz6wxn7i5zmd*$CXkWE6crA_(CJjg}fSwM+ z%>798=>79o=CSJdki>NsX(p)+yd=;XI&?+aw#+pE923v|qjl(wDY!o_t`z_MaOj+= z1ckbH@7@q%O?!EGC=qWxoa=lkA|lV@>33CnY=JF&JkiU3nLyBwS4aFAas6Abp45ur z(+sYmw%|-o@{#)b`*DM^mm?w~(l5Mu+5WQaEQUwt(n7c)PS-##!9|RsS6_48AKPxJ z<3wr$^S^r*xwr(wi1!iKzx1lMrHy#r-v}lYqF=B8n$u2sd8rTsg_``TUU<%_Ob3<3 z=)VVw2PYs8681543JXZ6sWr7_mELayn6aMPr7o@Ru^6)~v%!@_*arXoX-8^*0CpS{ zSb^jh*UveH{=HX?-TauCjiCt%M4c<}0?U?|LL?4JMQKBqG*#LP}7pkt2BTH(++t1Sk*c zQjBCgE-t7hTA?$lQDHiUwX|g+n5r($EfPXdP*yhL-s;_F253yYH4ED_Dj;>~Lf1pj zZ>wX87)+e})k^xWt(5;>dH-k4JUX10UQ$vb@Pe3ZjN$nB_&3LI&V4R5V(9HniTag+ z{O7J3vEO73fKJ7N&lfzv<3_Lg&!-$H*HAI^x$Bat;-;pi#6X<_sBZ2w6I~o@vcTf+ zfx1Ry<_K71URG4_kl=G7@>3P0KXygOGmocAzXIYvHti;p^2m zg9u`R$jd8!rJKn)<=t&yW1g!_Lmm@^TH51~5`Tk-7P0_vxalGAXin z@N;lv3k@qEahNo>SgwSJ^DkYxigHy<{pP~eRR_(?%>4a};%Ye;bMs!K@CU=h4U)^`SUyKYs|t?^GQidt8d%3M0iW--${45 z*&gGh2FJIv)Ib0HvXU(=Bcs!z?dh2vNVvF4~h-5cVUYt@9(LN zm39*s5|WM)qMbSO+W|ejuq(t>U0bU{lg-=+Stb0+mBLeBFJPsgNe*M=&EvG6R=ip| z|MC6o>})j2>Qtjyk^@&|yfYbI)}qrx_XX}F&oi$r<+B}Hj0}6`vQ|f7lR`oZBfEVo>r zk!~p9^^c9Kv3E2zjiu$aUk(l3(rgSDCTMD0C{ahg)ja?v+dWdF1QHo_SP%pYFif_Y z0T8C>C6f_BQ(#-B;mxJc9u0ZAi6qa%x4-F{Zb#H7^4a>)=_- zLT?wS93WRHwRcpkEG;c^ows{_dxuJCwNE|$Lt2^iN^x=2YW7qr)z8llLLg zLLf;TH2ve`$;_fMSffffy{RB1QRBU9Y|Mp$3_hh;(6toGxuROQz4+Kkct~ao-g96B zl8vD@a9LNaYkScnasU1MLyH{YTRomuB>^tSsNGIOqx|fG#h~Z=z7W?6Vd4CMN$>Oh zJ#XSRyNQd69{w_K{%ToNJ$Qbw+;UTTp@x^|E=8K)u#fr`C4Gk(d38ba@w4{i*IGe>XKXw`u>wdtd zQOgt6-0%s=2KBRh;8@8puDW?9@qg@ zRaJLwL}=&3A)*MjS00w}^P7Yg(mQK4z3u=GH>EzzKa78$(Z88J0Wr{hB1!wkD7iD& zrM0)@z^no~Zc zs<{z{b(yKo8&m|~lAkx?;`%>*$^_E}bs%orDGK9hRAgipOsOw|#=cZsp$)VR4G;Um zVZ4Zc4K$X7yLXH1>m(dp3=9km4VhrW-!qx*K0RWO2CxdA_rPYpB;(^U;&*uISOiY? z=iyHQ-Y3C*BAaN3;7%@uhpRGfNNnG+gE3sSnK?{&ga<$Gbs##6a3&XX_!?<%Qiyb_ zjwG50=veI_YHcTmyWFL1D=x3%j4VgyO57GQ+0G{Q?gGEEQ*$m=mi?xQ1KRfBd9R^iGMy{M0@B!q>27$sF3pYP~`M ziS_F>wv76!2)W4fDn~tnp&E{RY zG@6&?R~<51?1j{ybefkWlZqp*MB3bgSj-I$WuT8{Q_Z=Lf-EIi!fk<5`DK9s6@>e- zBs(k12Z(`eqU-pI5@JAla-5uHa_Kd-?33g+;m0wf36-Tr%KYu@8(A3br zz(7V$ju*Dbr0Y{tQ`k&kwnTiP>m?lxYD`4Xm7RB)eI`L^Gf`obP>92?s$so;k%EL= z-QV%CkQRhULg0sna!+ed&|*t zfdOH{Tfe|99aA5+4d$Lr`xcrd0i9QyTAp1J(x$F9WL{QDgJ%)2GB)=DL;@aQVquWPh8TE}5l4tx+t_(hvzd0nr7+w~Df# zN`^%SY7f)GXUWJ))8nU>=&u5!ZkG^X;&?v8vcRw#hE%Q;-z7VYIAb|!HYL_U_0hXI z?Hlg1mqxAiICAf);w|~D=$lq%%lQAEG^nIFny?d2u&c8lpU$vA1;INSh>`;Q9g%WH z0mU2;gHT7W$=mH3T7FwXNoi!FC&4D$KC=ECHcG;7iucE=IGGgm1z~exQUJ!V<;_fu zP+42R%OV-jjk^Lrg>0^aNqr6uX}ue3>~Qh9hkN3Y7LX0j%ggis@f8Ml`GJQYP%fWW zvo3J2_;kQz?cUA2R(m!wVI$rwR|I`aYoIBh`?g(DE!e6K-|uM&kQm`*+3nu>3ig9h zbRWI;D}*-$vlV|NuL~fJaV=xFOLHb^`*s2@!JdC<#?1cE!bOX!-tzGC@I+Q_S-fab zW2!0DBJj&&**9I)F+Xfp3ktpx%J&Zl(Ay~iG$*rv00(Li7|Zga3pAcZZb@_dw1E`P z%Hq3c_~?$Ri!Y(k!aNo{^BB?xXypUT<_!%Fp8gynG};7bwi8qd^w?ap?(XVJGs~h_ zCMY@)KFFj>Z%epSf_5Jum1CW=KNd>&KStXne3WpfT{nSkB3Un1l^MW>2eBQ8 zN1^K{$r$PHc#8{*OqXDdk@ORG%gF(?9SG!H61bnARjxTu&K<3z0#lU3%}N3mNL<}{ z!Tgp%bcK0=dl!&m=M}$>fU&rpx-A_YCCYvR^xb>#sE-rT(lAWe;BdcPF;Ksc9zDu* z2PF;?I%QUi(>_{!;53iHH-=BRxz`DV~!Pw%ejX!<*w2s_Q&zHU@NIS!IWFeKb z@W}61$BK#a%fT2Q56ww-)yv9Cs1;f=dC#5|22AD}VY`<{usmRgNuyqizBHtzOeWiq zAF(?->z|k_O^c>s2at1)zoA<^Kdl< zeZ_kMMT*OmZox`}0}trp=QA?gfYZ!rha0uB6BA48>JG}g!K@^m;Ey%Edv?lWda&Nn z>$49pfQ}Tqh{kSrFSvNIlGtD>UD@dwB?sIWLTme$MY z&8ED(yh$<8E?OZUex_k3qRv)Dl()93D=TNiaYLVak8VD60MU}V0R5~O{@Y=_@MW>t zK_~%`gme_JrKHZvex4j-gLST6M)Ic7I-U_KuN5BF1f?CrUMe`>z3Z~);YsM(?FoiDKDQL+Lva8PrSZieEihQ2yvVIlT}fh=(oj2 zUh{*aE&T$T9>mgHoW|yRJ1WZa>&vAM<`3%pvEL!PZJv_nw4YkG&{qIQRwUIqwL)aknt4z6!sb^DJd8d ze9+k9=SP$|Y{q2zj8{C9{gX%5hSAp0-~}-e*7mh)*D`~na&vQu&Hx}ntYuLlA#`*L z2@7unkB$<|Nm-;I>+PF2H{;c&UNormal*) (* Beginning of Notebook Content *) @@ -69299,10 +69299,1295 @@ Cell[BoxData[ CellLabel-> "Out[420]=",ExpressionUUID->"9ad462b9-141f-41b0-b6e2-46866aebb70f"] }, Open ]] +}, Open ]], + +Cell[CellGroupData[{ + +Cell["margin trick", "Section", + CellChangeTimes->{{3.887192854921034*^9, 3.8871928636330957`*^9}, { + 3.887254238166834*^9, 3.887254238242547*^9}, {3.8872598693639402`*^9, + 3.887259872590295*^9}, {3.887263277998085*^9, 3.8872632802275457`*^9}, { + 3.887797653641011*^9, 3.887797655569121*^9}, {3.888320409182255*^9, + 3.888320410493582*^9}},ExpressionUUID->"c09d6245-a9a1-43ca-a0e7-\ +db08da84ec46"], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"Manipulate", "[", "\[IndentingNewLine]", + RowBox[{ + RowBox[{"Block", "[", + RowBox[{ + RowBox[{"{", + RowBox[{ + "m", ",", "eps", ",", "thresholdLine", ",", "marginLine", ",", + "representativeLine", ",", "augmentation"}], "}"}], ",", + "\[IndentingNewLine]", + RowBox[{ + RowBox[{"m", "=", + RowBox[{"Min", "[", + RowBox[{"x", ",", "y"}], "]"}]}], ";", "\[IndentingNewLine]", + RowBox[{"eps", "=", "0.001"}], ";", "\[IndentingNewLine]", + RowBox[{"augmentation", "=", + RowBox[{ + RowBox[{"Mean", "[", + RowBox[{"{", + RowBox[{"x", ",", "y"}], "}"}], "]"}], + RowBox[{"Abs", "[", + RowBox[{"m", "-", + RowBox[{"1", "/", "2"}]}], "]"}]}]}], ";", "\[IndentingNewLine]", + RowBox[{"thresholdLine", "=", + RowBox[{"Line", "[", + RowBox[{"{", + RowBox[{ + RowBox[{"{", + RowBox[{ + RowBox[{"1", "/", "2"}], ",", + RowBox[{"-", "1"}]}], "}"}], ",", + RowBox[{"{", + RowBox[{ + RowBox[{"1", "/", "2"}], ",", "1"}], "}"}]}], "}"}], "]"}]}], ";", + "\[IndentingNewLine]", + RowBox[{"marginLine", "=", + RowBox[{"{", + RowBox[{ + RowBox[{"Line", "[", + RowBox[{"{", + RowBox[{ + RowBox[{"{", + RowBox[{"m", ",", "0.2"}], "}"}], ",", + RowBox[{"{", + RowBox[{ + RowBox[{"1", "/", "2"}], ",", "0.2"}], "}"}]}], "}"}], "]"}], + ",", + RowBox[{"Text", "[", + RowBox[{ + RowBox[{"Style", "[", + RowBox[{"\"\\"", ",", "Bold", ",", + RowBox[{"FontFamily", "->", "\"\\""}]}], "]"}], ",", + + RowBox[{"{", + RowBox[{ + RowBox[{"m", "+", + RowBox[{ + RowBox[{"(", + RowBox[{ + RowBox[{"1", "/", "2"}], "-", "m"}], ")"}], "/", "2"}]}], + ",", "0.3"}], "}"}]}], "]"}]}], "}"}]}], ";", + "\[IndentingNewLine]", + RowBox[{"representativeLine", "=", + RowBox[{"{", + RowBox[{ + RowBox[{"Line", "[", + RowBox[{"{", + RowBox[{ + RowBox[{"{", + RowBox[{"m", ",", + RowBox[{"-", "0.8"}]}], "}"}], ",", + RowBox[{"{", + RowBox[{"m", ",", "1"}], "}"}]}], "}"}], "]"}], ",", + RowBox[{"Text", "[", + RowBox[{ + RowBox[{"Style", "[", + RowBox[{"\"\\"", ",", "Bold", ",", + RowBox[{"FontFamily", "->", "\"\\""}]}], "]"}], ",", + + RowBox[{"{", + RowBox[{"m", ",", + RowBox[{"-", "0.9"}]}], "}"}]}], "]"}]}], "}"}]}], ";", + "\[IndentingNewLine]", + RowBox[{"Labeled", "[", + RowBox[{ + RowBox[{"Plot", "[", "\[IndentingNewLine]", + RowBox[{ + RowBox[{"{", "\[IndentingNewLine]", + RowBox[{ + RowBox[{"Callout", "[", + RowBox[{ + RowBox[{"If", "[", + RowBox[{ + RowBox[{"m", "<=", + RowBox[{"1", "/", "2"}]}], ",", "\[IndentingNewLine]", + RowBox[{"If", "[", + RowBox[{ + RowBox[{ + RowBox[{"x", ">=", + RowBox[{"(", + RowBox[{"m", "+", "augmentation", "-", "eps"}], ")"}]}], "&&", + RowBox[{"x", "<=", + RowBox[{"(", + RowBox[{"m", "+", "augmentation", "+", "eps"}], ")"}]}]}], + ",", "1", ",", "Nothing"}], "]"}], ",", + "\[IndentingNewLine]", + RowBox[{"If", "[", + RowBox[{ + RowBox[{ + RowBox[{"x", ">=", + RowBox[{"(", + RowBox[{ + RowBox[{"1", "/", "2"}], "+", "augmentation", "-", + "eps"}], ")"}]}], "&&", + RowBox[{"x", "<=", + RowBox[{"(", + RowBox[{ + RowBox[{"1", "/", "2"}], "+", "augmentation", "+", + "eps"}], ")"}]}]}], ",", "1", ",", "Nothing"}], "]"}]}], + "\[IndentingNewLine]", "]"}], ",", + RowBox[{"Style", "[", + RowBox[{"\"\\"", ",", "Bold", ",", + RowBox[{"FontColor", "->", + RowBox[{"Darker", "[", "Green", "]"}]}]}], "]"}], ",", + RowBox[{"{", + RowBox[{ + RowBox[{"If", "[", + RowBox[{ + RowBox[{"m", ">", + RowBox[{"1", "/", "2"}]}], ",", + RowBox[{ + RowBox[{"1", "/", "2"}], "+", + RowBox[{"augmentation", "/", "2"}]}], ",", + RowBox[{"m", "+", + RowBox[{"augmentation", "/", "2"}]}]}], "]"}], ",", + "1.2"}], "}"}], ",", + RowBox[{"CalloutStyle", "->", + RowBox[{"{", + RowBox[{"Darker", "[", "Green", "]"}], "}"}]}], ",", + RowBox[{"Background", "->", "Transparent"}]}], "]"}], ",", + "\[IndentingNewLine]", + RowBox[{"If", "[", + RowBox[{ + RowBox[{"m", "<=", + RowBox[{"1", "/", "2"}]}], ",", "\[IndentingNewLine]", + RowBox[{"If", "[", + RowBox[{ + RowBox[{ + RowBox[{"x", ">", "m"}], " ", "&&", " ", + RowBox[{"x", "<=", + RowBox[{"(", + RowBox[{"m", "+", "augmentation"}], ")"}]}]}], ",", "1", + ",", "Nothing"}], "]"}], ",", "\[IndentingNewLine]", + RowBox[{"If", "[", + RowBox[{ + RowBox[{ + RowBox[{"x", ">", + RowBox[{"1", "/", "2"}]}], "&&", + RowBox[{"x", "<", + RowBox[{"(", + RowBox[{ + RowBox[{"1", "/", "2"}], "+", "augmentation"}], ")"}]}]}], + ",", "1", ",", "Nothing"}], "]"}]}], "\[IndentingNewLine]", + "]"}]}], "\[IndentingNewLine]", "}"}], ",", + "\[IndentingNewLine]", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", + "\[IndentingNewLine]", + RowBox[{"PlotRange", "->", + RowBox[{"{", + RowBox[{ + RowBox[{"{", + RowBox[{ + RowBox[{"If", "[", + RowBox[{ + RowBox[{"m", ">", + RowBox[{"1", "/", "2"}]}], ",", "0.4", ",", "0"}], "]"}], + ",", + RowBox[{"If", "[", + RowBox[{ + RowBox[{"m", ">", + RowBox[{"1", "/", "2"}]}], ",", "1", ",", "0.6"}], "]"}]}], + "}"}], ",", + RowBox[{"{", + RowBox[{ + RowBox[{"-", "1"}], ",", "1"}], "}"}]}], "}"}]}], ",", + "\[IndentingNewLine]", + RowBox[{"PlotStyle", "->", "Transparent"}], ",", + "\[IndentingNewLine]", + RowBox[{"Filling", "->", + RowBox[{"{", + RowBox[{ + RowBox[{"1", "->", "1"}], ",", + RowBox[{"2", "->", + RowBox[{"-", "0.8"}]}]}], "}"}]}], ",", "\[IndentingNewLine]", + RowBox[{"FillingStyle", "->", + RowBox[{"Lighter", "[", + RowBox[{"Green", ",", "0.8"}], "]"}]}], ",", + "\[IndentingNewLine]", + RowBox[{"Axes", "->", + RowBox[{"{", + RowBox[{"True", ",", "False"}], "}"}]}], ",", + "\[IndentingNewLine]", + RowBox[{"Ticks", "->", + RowBox[{"{", + RowBox[{"True", ",", "False"}], "}"}]}], ",", + "\[IndentingNewLine]", + RowBox[{"Epilog", "->", + RowBox[{"{", + RowBox[{ + RowBox[{"Directive", "[", "Black", "]"}], ",", + "representativeLine", ",", + RowBox[{"Directive", "[", + RowBox[{"Gray", ",", "Dashed"}], "]"}], ",", "thresholdLine", + ",", "marginLine"}], "}"}]}], ",", "\[IndentingNewLine]", + RowBox[{"ImagePadding", "->", + RowBox[{"{", + RowBox[{ + RowBox[{"{", + RowBox[{"0", ",", "0"}], "}"}], ",", + RowBox[{"{", + RowBox[{"0", ",", "25"}], "}"}]}], "}"}]}]}], + "\[IndentingNewLine]", "]"}], ",", + RowBox[{"If", "[", + RowBox[{ + RowBox[{"m", ">", + RowBox[{"1", "/", "2"}]}], ",", + RowBox[{"Style", "[", + RowBox[{"\"\\"", ",", + RowBox[{"FontFamily", "->", "\"\\""}]}], "]"}], ",", + RowBox[{"Style", "[", + RowBox[{"\"\\"", ",", + RowBox[{"FontFamily", "->", "\"\\""}]}], "]"}]}], + "]"}], ",", "Bottom"}], "]"}]}]}], "\[IndentingNewLine]", "]"}], ",", + RowBox[{"{", + RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", + RowBox[{"{", + RowBox[{"y", ",", "0", ",", "1"}], "}"}]}], "\[IndentingNewLine]", + "]"}]], "Input", + CellChangeTimes->{{3.888320422144677*^9, 3.888320449308585*^9}, { + 3.888320560378175*^9, 3.888320768667656*^9}, {3.888320848907525*^9, + 3.8883208582133627`*^9}, {3.888320913174425*^9, 3.8883210252541933`*^9}, { + 3.888321078899169*^9, 3.888321179233479*^9}, {3.888321219783214*^9, + 3.888321391285018*^9}, {3.888321424754448*^9, 3.888321435658897*^9}, { + 3.888321569896447*^9, 3.888321584963773*^9}, {3.888321623114213*^9, + 3.8883216250883408`*^9}, {3.888321941691119*^9, 3.888321976453662*^9}, { + 3.8883220309299717`*^9, 3.888322149959363*^9}, {3.88832221274232*^9, + 3.888322284111771*^9}, {3.888322384906666*^9, 3.888322703325935*^9}, { + 3.888322817110327*^9, 3.888322848993031*^9}, {3.888323026593142*^9, + 3.8883231783129673`*^9}, {3.8883232145597353`*^9, 3.888323226224869*^9}, { + 3.888323258046796*^9, 3.88832328638475*^9}, {3.88832335156376*^9, + 3.888323400681837*^9}, {3.8883234670020943`*^9, 3.888323468874861*^9}, { + 3.888323510971065*^9, 3.8883235166149282`*^9}, {3.888323553625971*^9, + 3.8883236606736794`*^9}, {3.8883237083366747`*^9, + 3.8883237090679617`*^9}, {3.8883237460886927`*^9, + 3.8883237658953333`*^9}, {3.88832380198385*^9, 3.8883239333464613`*^9}, { + 3.888324002865946*^9, 3.888324091208008*^9}, {3.888324391688396*^9, + 3.888324450828155*^9}, {3.8883248173254967`*^9, 3.888324835448731*^9}, { + 3.888324881100436*^9, 3.8883248862936277`*^9}, {3.888324961726035*^9, + 3.888324969940493*^9}, {3.888325029497697*^9, 3.88832503908315*^9}, { + 3.888325076115014*^9, 3.888325190273961*^9}, {3.888325248727231*^9, + 3.888325288477852*^9}, {3.888325323156293*^9, 3.888325323313835*^9}, { + 3.8883253555279818`*^9, 3.888325415491542*^9}, {3.888325456117687*^9, + 3.8883254749684*^9}, {3.888325528970626*^9, 3.888325767270599*^9}, { + 3.8883258091158133`*^9, 3.888325831222974*^9}, {3.8883258676192837`*^9, + 3.888325892899234*^9}, {3.8883259415595293`*^9, 3.888325977716681*^9}, { + 3.8883260079553623`*^9, 3.888326013229059*^9}, {3.8883262840702543`*^9, + 3.888326294430664*^9}, {3.88832632827446*^9, 3.888326404207327*^9}, { + 3.8883264492656107`*^9, 3.888326498244176*^9}, {3.8883265447918997`*^9, + 3.888326707113244*^9}, {3.888326739876256*^9, 3.8883267498937893`*^9}, { + 3.888326811412711*^9, 3.888326891252214*^9}, {3.8883269334050417`*^9, + 3.888326988975687*^9}, {3.888327061532675*^9, 3.8883270911029778`*^9}, { + 3.888327162138444*^9, 3.8883272185140457`*^9}, {3.888327314200494*^9, + 3.8883273483230553`*^9}, {3.888327392330332*^9, 3.8883273952016993`*^9}, { + 3.88832814604534*^9, 3.888328207089675*^9}, {3.888328262629348*^9, + 3.8883283299285307`*^9}, 3.888328433100025*^9, {3.888328479407216*^9, + 3.888328480807*^9}, {3.888328543677948*^9, 3.888328614099175*^9}, { + 3.8883286511587133`*^9, 3.888328698077367*^9}, {3.8883287448603773`*^9, + 3.888328748817676*^9}, {3.888328779569343*^9, 3.888328797084169*^9}, { + 3.888329008760311*^9, 3.888329053777924*^9}, {3.888329089471918*^9, + 3.888329093730502*^9}, {3.888329133680624*^9, 3.8883291787300034`*^9}, { + 3.8883292768353577`*^9, 3.8883292956087933`*^9}, {3.888329383836307*^9, + 3.888329403233198*^9}, {3.8883294733074503`*^9, 3.888329593899989*^9}, { + 3.888329675297358*^9, 3.8883297263396606`*^9}}, + CellLabel-> + "In[1334]:=",ExpressionUUID->"d4e8cbf0-82ca-4cca-85c2-900fc8e77611"], + +Cell[BoxData[ + TagBox[ + StyleBox[ + DynamicModuleBox[{$CellContext`x$$ = 0.906, $CellContext`y$$ = 0.826, + Typeset`show$$ = True, Typeset`bookmarkList$$ = {}, + Typeset`bookmarkMode$$ = "Menu", Typeset`animator$$, Typeset`animvar$$ = + 1, Typeset`name$$ = "\"untitled\"", Typeset`specs$$ = {{ + Hold[$CellContext`x$$], 0, 1}, { + Hold[$CellContext`y$$], 0, 1}}, Typeset`size$$ = {360., {143.2, 127.}}, + Typeset`update$$ = 0, Typeset`initDone$$, Typeset`skipInitDone$$ = True}, + + DynamicBox[Manipulate`ManipulateBoxes[ + 1, StandardForm, + "Variables" :> {$CellContext`x$$ = 0, $CellContext`y$$ = 0}, + "ControllerVariables" :> {}, + "OtherVariables" :> { + Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, + Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, + Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, + Typeset`skipInitDone$$}, "Body" :> + Block[{$CellContext`m, $CellContext`eps, $CellContext`thresholdLine, \ +$CellContext`marginLine, $CellContext`representativeLine, \ +$CellContext`augmentation}, $CellContext`m = + Min[$CellContext`x$$, $CellContext`y$$]; $CellContext`eps = + 0.001; $CellContext`augmentation = + Mean[{$CellContext`x$$, $CellContext`y$$}] + Abs[$CellContext`m - 1/2]; $CellContext`thresholdLine = + Line[{{1/2, -1}, {1/2, 1}}]; $CellContext`marginLine = { + Line[{{$CellContext`m, 0.2}, {1/2, 0.2}}], + Text[ + Style[ + "margin", Bold, FontFamily -> + "Helvetica"], {$CellContext`m + (1/2 - $CellContext`m)/2, + 0.3}]}; $CellContext`representativeLine = { + Line[{{$CellContext`m, -0.8}, {$CellContext`m, 1}}], + Text[ + Style[ + "representative bit", Bold, FontFamily -> + "Helvetica"], {$CellContext`m, -0.9}]}; Labeled[ + Plot[{ + Callout[ + If[$CellContext`m <= 1/2, + If[ + + And[$CellContext`x$$ >= $CellContext`m + \ +$CellContext`augmentation - $CellContext`eps, $CellContext`x$$ <= \ +$CellContext`m + $CellContext`augmentation + $CellContext`eps], 1, Nothing], + If[ + + And[$CellContext`x$$ >= + 1/2 + $CellContext`augmentation - $CellContext`eps, \ +$CellContext`x$$ <= 1/2 + $CellContext`augmentation + $CellContext`eps], 1, + Nothing]], + Style["augmented bit", Bold, FontColor -> Darker[Green]], { + + If[$CellContext`m > 1/2, + 1/2 + $CellContext`augmentation/ + 2, $CellContext`m + $CellContext`augmentation/2], 1.2}, + CalloutStyle -> { + Darker[Green]}, Background -> Transparent], + If[$CellContext`m <= 1/2, + If[ + + And[$CellContext`x$$ > $CellContext`m, $CellContext`x$$ <= \ +$CellContext`m + $CellContext`augmentation], 1, Nothing], + If[ + + And[$CellContext`x$$ > 1/2, $CellContext`x$$ < + 1/2 + $CellContext`augmentation], 1, + Nothing]]}, {$CellContext`x$$, 0, 1}, PlotRange -> {{ + If[$CellContext`m > 1/2, 0.4, 0], + If[$CellContext`m > 1/2, 1, 0.6]}, {-1, 1}}, PlotStyle -> + Transparent, Filling -> {1 -> 1, 2 -> -0.8}, FillingStyle -> + Lighter[Green, 0.8], Axes -> {True, False}, Ticks -> {True, False}, + Epilog -> { + Directive[Black], $CellContext`representativeLine, + Directive[ + Gray, Dashed], $CellContext`thresholdLine, \ +$CellContext`marginLine}, ImagePadding -> {{0, 0}, {0, 25}}], + If[$CellContext`m > 1/2, + Style["high margin", FontFamily -> "Helvetica"], + Style["low margin", FontFamily -> "Helvetica"]], Bottom]], + "Specifications" :> {{$CellContext`x$$, 0, 1}, {$CellContext`y$$, 0, + 1}}, "Options" :> {}, "DefaultOptions" :> {}], + ImageSizeCache->{406., {211.6875, 217.3125}}, + SingleEvaluation->True], + Deinitialization:>None, + DynamicModuleValues:>{}, + SynchronousInitialization->True, + UndoTrackedVariables:>{Typeset`show$$, Typeset`bookmarkMode$$}, + UnsavedVariables:>{Typeset`initDone$$}, + UntrackedVariables:>{Typeset`size$$}], "Manipulate", + Deployed->True, + StripOnInput->False], + Manipulate`InterpretManipulate[1]]], "Output", + CellChangeTimes->{{3.8883295197737513`*^9, 3.888329594516479*^9}, + 3.88832967914233*^9, {3.888329710001832*^9, 3.888329743391673*^9}}, + CellLabel-> + "Out[1334]=",ExpressionUUID->"d6c95457-568c-4d4d-861a-ed592bb12954"] +}, Open ]], + +Cell[BoxData[ + RowBox[{"(*", " ", + RowBox[{ + RowBox[{"x", "=", " ", "0.906"}], ",", " ", + RowBox[{"y", "=", "0.226"}]}], " ", "*)"}]], "Input", + CellChangeTimes->{{3.8883272603174887`*^9, + 3.8883272683464403`*^9}},ExpressionUUID->"684d9a6e-d612-4e60-8a29-\ +e2a00934b055"], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"g1", "=", + GraphicsBox[{GraphicsComplexBox[CompressedData[" +1:eJxTTMoPSmViYGBQBWIQfabF5NwxrfP2DGDwwV5+wuufK99dgPNff79/76rB +JTh/yavdp/j6LsP5fLLL3z95cgXO78ncmrZA5Rqc/81h9ZOM+utwPgMaYDzk +5dT75ixc3ull0wY2J4T9jqEblrJcQpi3def2M/aKN+D8OQ9Cawp8EfrDajdG +hFxA2Je22J5jVfc5NP0noPwH9i/zoyUf/T0Dl39yfVfbVk+E+X6BAff/zTmL +pn8HlH8Bqn8P3LwzHjtXVpki9Huc7rz5XuIQlH/D3mnFDa+VqujmrYDyD9hX +S7vGC/kh9E/pibn04y3CfSF52yY3JCPk/26a4d8ageBfUvzj8+HzGZzy6Obb +PM+77h2Mad+smSDwcj9MPYwPMw/Gh7kHxgcApdHWxQ== + "], {{{}, {}, {}, + {RGBColor[0.8, 1., 0.8], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[{{29, 36, 37, 28}}], + PolygonBox[{{27, 34, 35, 26, 18, 22, 12, 14, 7, 11, 6, 5, 4, 3, 2, + 10, 1, 15, 9, 19, 13, 24, 17, + 30}}]}]}, {}, {}, {}, {}, {}, {}}, {{}, {}, {}, + TagBox[ + {Opacity[0], + LineBox[{27, 30, 17, 24, 13, 19, 9, 15, 1, 10, 2, 3, 4, 5, 6, 11, 7, + 14, 12, 22, 18, 26}], LineBox[{29, 28}]}, + Annotation[#, "Charting`Private`Tag$8124299#2"]& ], + {RGBColor[0.8, 1., 0.8], LineBox[{32, 33, 31}]}}}], {{}, + GraphicsGroupBox[{ + {Opacity[0], CapForm["Butt"], JoinForm["Round"], + BSplineCurveBox[{ + Offset[{6.178901352847948*^-15, 3.}, {0.3035419999999998, 1.}], + Offset[{0, 0}, {0.30354199999999987`, 1.2}], + Offset[{0, 5}, {0.30354199999999987`, 1.2}], + Offset[{0, 10}, {0.30354199999999987`, 1.2}], + Offset[{0, 10}, {0.30354199999999987`, 1.2}]}]}, + {RGBColor[0, + NCache[ + Rational[2, 3], 0.6666666666666666], 0], AbsoluteThickness[1.25], + BSplineCurveBox[{ + Offset[{6.178901352847948*^-15, 3.}, {0.3035419999999998, 1.}], + Offset[{0, 0}, {0.30354199999999987`, 1.2}], + Offset[{0, 5}, {0.30354199999999987`, 1.2}], + Offset[{0, 10}, {0.30354199999999987`, 1.2}], + Offset[{0, 10}, {0.30354199999999987`, 1.2}]}]}, + {EdgeForm[None], FaceForm[Opacity[0]], + PolygonBox[{ + Offset[{36., 28.000000000000007`}, {0.30354199999999987`, 1.2}], + Offset[{36., 10.000000000000007`}, {0.30354199999999987`, 1.2}], + Offset[{-36., 9.999999999999993}, {0.30354199999999987`, 1.2}], + Offset[{-36., 27.999999999999993`}, {0.30354199999999987`, 1.2}]}]}, + {RGBColor[0, + NCache[ + Rational[2, 3], 0.6666666666666666], 0], AbsoluteThickness[1.25], + EdgeForm[None]}, {}, InsetBox[ + StyleBox[ + RotationBox[ + StyleBox["\<\"augmented bit\"\>", + StripOnInput->False, + FontWeight->Bold, + FontColor->RGBColor[0, + Rational[2, 3], 0]], + BoxRotation->0.], + StripOnInput->False, + LineOpacity->1, + FrontFaceOpacity->1, + BackFaceOpacity->1, + Opacity->1, + FontOpacity->1], Offset[{0., 19.}, {0.30354199999999987, 1.2}], + NCache[ImageScaled[{Rational[1, 2], Rational[1, 2]}], + ImageScaled[{0.5, 0.5}]]]}]}}, + AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], + Axes->{True, False}, + AxesLabel->{None, None}, + AxesOrigin->{0, 0}, + DisplayFunction->Identity, + Epilog->{ + Directive[ + GrayLevel[0]], { + LineBox[{{0.2259999999999998, -0.8}, {0.2259999999999998, 1}}], + InsetBox[ + FormBox[ + StyleBox[ + "\"representative bit\"", Bold, FontFamily -> "Helvetica", + StripOnInput -> False], TraditionalForm], { + 0.2259999999999998, -0.9}]}, + Directive[ + GrayLevel[0.5], + Dashing[{Small, Small}]], + LineBox[ + NCache[{{ + Rational[1, 2], -1}, { + Rational[1, 2], 1}}, {{0.5, -1}, {0.5, 1}}]], { + LineBox[ + NCache[{{0.2259999999999998, 0.2}, { + Rational[1, 2], 0.2}}, {{0.2259999999999998, 0.2}, {0.5, 0.2}}]], + InsetBox[ + FormBox[ + StyleBox[ + "\"margin\"", Bold, FontFamily -> "Helvetica", StripOnInput -> False], + TraditionalForm], {0.3629999999999999, 0.3}]}}, + Frame->{{False, False}, {False, False}}, + FrameLabel->{{None, None}, {None, None}}, + FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines->{None, None}, + GridLinesStyle->Directive[ + GrayLevel[0.5, 0.4]], + ImagePadding->{{0, 0}, {0, 25}}, + Method->{ + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, + "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ + (Identity[#]& )[ + Part[#, 1]], + (Identity[#]& )[ + Part[#, 2]]}& ), "CopiedValueFunction" -> ({ + (Identity[#]& )[ + Part[#, 1]], + (Identity[#]& )[ + Part[#, 2]]}& )}, "AxesInFront" -> True}, + PlotRange->{{0., 0.6}, {-1., 1.}}, + PlotRangeClipping->False, + PlotRangePadding->{{0, + Scaled[0.02]}, {0, + Scaled[0.08090169943749476]}}, + Ticks->{Automatic, {}}]}]], "Input", + CellChangeTimes->{{3.888327126611292*^9, 3.8883271278721*^9}, { + 3.888327237462963*^9, 3.8883272389855824`*^9}, {3.888327429451133*^9, + 3.8883274306798553`*^9}, {3.88832884041924*^9, 3.888328845701282*^9}, { + 3.888329752553173*^9, 3.88832976010358*^9}}, + CellLabel-> + "In[1335]:=",ExpressionUUID->"c5e34d5e-dc1f-4beb-a7be-79a7de270445"], + +Cell[BoxData[ + GraphicsBox[{GraphicsComplexBox[CompressedData[" +1:eJxTTMoPSmViYGBQBWIQfabF5NwxrfP2DGDwwV5+wuufK99dgPNff79/76rB +JTh/yavdp/j6LsP5fLLL3z95cgXO78ncmrZA5Rqc/81h9ZOM+utwPgMaYDzk +5dT75ixc3ull0wY2J4T9jqEblrJcQpi3def2M/aKN+D8OQ9Cawp8EfrDajdG +hFxA2Je22J5jVfc5NP0noPwH9i/zoyUf/T0Dl39yfVfbVk+E+X6BAff/zTmL +pn8HlH8Bqn8P3LwzHjtXVpki9Huc7rz5XuIQlH/D3mnFDa+VqujmrYDyD9hX +S7vGC/kh9E/pibn04y3CfSF52yY3JCPk/26a4d8ageBfUvzj8+HzGZzy6Obb +PM+77h2Mad+smSDwcj9MPYwPMw/Gh7kHxgcApdHWxQ== + "], {{{}, {}, {}, + {RGBColor[0.8, 1., 0.8], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[{{29, 36, 37, 28}}], + PolygonBox[{{27, 34, 35, 26, 18, 22, 12, 14, 7, 11, 6, 5, 4, 3, 2, + 10, 1, 15, 9, 19, 13, 24, 17, + 30}}]}]}, {}, {}, {}, {}, {}, {}}, {{}, {}, {}, + TagBox[ + {Opacity[0], + LineBox[{27, 30, 17, 24, 13, 19, 9, 15, 1, 10, 2, 3, 4, 5, 6, 11, 7, + 14, 12, 22, 18, 26}], LineBox[{29, 28}]}, + Annotation[#, "Charting`Private`Tag$8124299#2"]& ], + {RGBColor[0.8, 1., 0.8], LineBox[{32, 33, 31}]}}}], {{}, + GraphicsGroupBox[{ + {Opacity[0], CapForm["Butt"], JoinForm["Round"], + BSplineCurveBox[{ + Offset[{6.178901352847948*^-15, 3.}, {0.3035419999999998, 1.}], + Offset[{0, 0}, {0.30354199999999987`, 1.2}], + Offset[{0, 5}, {0.30354199999999987`, 1.2}], + Offset[{0, 10}, {0.30354199999999987`, 1.2}], + Offset[{0, 10}, {0.30354199999999987`, 1.2}]}]}, + {RGBColor[0, + NCache[ + Rational[2, 3], 0.6666666666666666], 0], AbsoluteThickness[1.25], + BSplineCurveBox[{ + Offset[{6.178901352847948*^-15, 3.}, {0.3035419999999998, 1.}], + Offset[{0, 0}, {0.30354199999999987`, 1.2}], + Offset[{0, 5}, {0.30354199999999987`, 1.2}], + Offset[{0, 10}, {0.30354199999999987`, 1.2}], + Offset[{0, 10}, {0.30354199999999987`, 1.2}]}]}, + {EdgeForm[None], FaceForm[Opacity[0]], + PolygonBox[{ + Offset[{36., 28.000000000000007`}, {0.30354199999999987`, 1.2}], + Offset[{36., 10.000000000000007`}, {0.30354199999999987`, 1.2}], + Offset[{-36., 9.999999999999993}, {0.30354199999999987`, 1.2}], + Offset[{-36., 27.999999999999993`}, {0.30354199999999987`, + 1.2}]}]}, + {RGBColor[0, + NCache[ + Rational[2, 3], 0.6666666666666666], 0], AbsoluteThickness[1.25], + EdgeForm[None]}, {}, InsetBox[ + StyleBox[ + RotationBox[ + StyleBox["\<\"augmented bit\"\>", + StripOnInput->False, + FontWeight->Bold, + FontColor->RGBColor[0, + Rational[2, 3], 0]], + BoxRotation->0.], + StripOnInput->False, + LineOpacity->1, + FrontFaceOpacity->1, + BackFaceOpacity->1, + Opacity->1, + FontOpacity->1], Offset[{0., 19.}, {0.30354199999999987, 1.2}], + NCache[ImageScaled[{Rational[1, 2], Rational[1, 2]}], + ImageScaled[{0.5, 0.5}]]]}]}}, + AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], + Axes->{True, False}, + AxesLabel->{None, None}, + AxesOrigin->{0, 0}, + DisplayFunction->Identity, + Epilog->{ + Directive[ + GrayLevel[0]], { + LineBox[{{0.2259999999999998, -0.8}, {0.2259999999999998, 1}}], + InsetBox[ + BoxData[ + FormBox[ + StyleBox[ + "\"representative bit\"", Bold, FontFamily -> "Helvetica", + StripOnInput -> False], TraditionalForm]], { + 0.2259999999999998, -0.9}]}, + Directive[ + GrayLevel[0.5], + Dashing[{Small, Small}]], + LineBox[ + NCache[{{ + Rational[1, 2], -1}, { + Rational[1, 2], 1}}, {{0.5, -1}, {0.5, 1}}]], { + LineBox[ + NCache[{{0.2259999999999998, 0.2}, { + Rational[1, 2], 0.2}}, {{0.2259999999999998, 0.2}, {0.5, 0.2}}]], + InsetBox[ + BoxData[ + FormBox[ + StyleBox[ + "\"margin\"", Bold, FontFamily -> "Helvetica", StripOnInput -> False], + TraditionalForm]], {0.3629999999999999, 0.3}]}}, + Frame->{{False, False}, {False, False}}, + FrameLabel->{{None, None}, {None, None}}, + FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines->{None, None}, + GridLinesStyle->Directive[ + GrayLevel[0.5, 0.4]], + ImagePadding->{{0, 0}, {0, 25}}, + Method->{ + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> + AbsolutePointSize[6], "ScalingFunctions" -> None, + "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ + (Identity[#]& )[ + Part[#, 1]], + (Identity[#]& )[ + Part[#, 2]]}& ), "CopiedValueFunction" -> ({ + (Identity[#]& )[ + Part[#, 1]], + (Identity[#]& )[ + Part[#, 2]]}& )}, "AxesInFront" -> True}, + PlotRange->{{0., 0.6}, {-1., 1.}}, + PlotRangeClipping->False, + PlotRangePadding->{{0, + Scaled[0.02]}, {0, + Scaled[0.08090169943749476]}}, + Ticks->{Automatic, {}}]], "Output", + CellChangeTimes->{3.888327129410108*^9, 3.888327239912986*^9, + 3.88832743144237*^9, 3.888328846784771*^9, 3.888329760999056*^9}, + CellLabel-> + "Out[1335]=",ExpressionUUID->"b6e770cb-2a3c-45a6-a626-400602590fa0"] +}, Open ]], + +Cell[BoxData[ + RowBox[{"(*", " ", + RowBox[{ + RowBox[{"x", " ", "=", " ", "0.906"}], ",", " ", + RowBox[{"y", " ", "=", " ", "0.826"}]}], " ", "*)"}]], "Input", + CellChangeTimes->{{3.8883274429550543`*^9, + 3.888327457036957*^9}},ExpressionUUID->"f5350a92-e0ed-422c-abfe-\ +54ea462b9e0e"], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"g2", "=", + GraphicsBox[{GraphicsComplexBox[CompressedData[" +1:eJxTTMoPSmViYGCwBGIQrfMmlPu67wN7BjD4YC/M/4HjyC8En2X/7PXKcx7C ++dkmu29yej+C81d7Ji3Y9w3B//paSuDZtMdw/tZgd+YpLk/g/HqP1vlbniH4 +ine9bixufQrnW5m3TJE0egbnx8id/8l4GcH/eqr3UUHjczh/BktcSZDKC4T7 +721dxHQEwWdAA30GGxmZGBD+W/BXqct3CYIf9rGzW6sE3bwbUP4De0h4HYDy +L9hfOKrhH/Aeof5CyJmcv6oP0PSfgKuH6N8A5R+w/xT4vmLlTYR+pc72uQJC +CP19aRy/GCdfgvJv2Ds9Yph4qOQEnL/vcr+qOvNLuPo6BUGbV5bo9u+A2wex +fwGUv8HeW/mpqRQHQn2AUrxf0+qrUP4de/N07XM+iUeg/Cv2++tddyn/eoHm +vkNQ/gmo+3bA+T/fabKyyyDMnxGa7M389RzcPN/Ya8EWHWfg9sVMibOu2QxL +Ty+g7l8Bd2/CB2EmeWaEeTfk3tfP40D43yxsW6YoL0L+VZh2xkKk+NbK0GRY +w45Qf63zz+w5rAj5P+xpa9/+RfgPPXzR5e++rcrsYkDIw9LXrJkg8HI/TD2M +DzMPxoe5H8YHAPP7Kw8= + "], {{{}, {}, {}, + {RGBColor[0.8, 1., 0.8], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[{{29, 56, 57, 45, 48}}], + PolygonBox[{{16, 54, 55, 50, 36, 21, 25, 14, 18, 13, 12, 11, 10, 9, + 8, 7, 6, 5, 4, 3, 2, 17, 1, 30, 22, 39, 26, 46, 33, 49, 44, + 47}}]}]}, {}, {}, {}, {}, {}, {}}, {{}, {}, {}, + TagBox[ + {Opacity[0], + LineBox[{16, 47, 44, 49, 33, 46, 26, 39, 22, 30, 1, 17, 2, 3, 4, 5, + 6, 7, 8, 9, 10, 11, 12, 13, 18, 14, 25, 21, 36, 50}], + LineBox[{29, 48, 45}]}, + Annotation[#, "Charting`Private`Tag$8125932#2"]& ], + {RGBColor[0.8, 1., 0.8], LineBox[{52, 53, 51}]}}}], {{}, + GraphicsGroupBox[{ + {Opacity[0], CapForm["Butt"], JoinForm["Round"], + BSplineCurveBox[{ + Offset[{1.8369701987210297`*^-16, 3.}, {0.6411580000000001, 1.}], + Offset[{0, 0}, {0.641158, 1.2}], Offset[{0, 5}, {0.641158, 1.2}], + Offset[{0, 10}, {0.641158, 1.2}], + Offset[{0, 10}, {0.641158, 1.2}]}]}, + {RGBColor[0, + NCache[ + Rational[2, 3], 0.6666666666666666], 0], AbsoluteThickness[1.25], + BSplineCurveBox[{ + Offset[{1.8369701987210297`*^-16, 3.}, {0.6411580000000001, 1.}], + Offset[{0, 0}, {0.641158, 1.2}], Offset[{0, 5}, {0.641158, 1.2}], + Offset[{0, 10}, {0.641158, 1.2}], + Offset[{0, 10}, {0.641158, 1.2}]}]}, + {EdgeForm[None], FaceForm[Opacity[0]], + PolygonBox[{ + Offset[{36., 28.000000000000007`}, {0.641158, 1.2}], + Offset[{36., 10.000000000000007`}, {0.641158, 1.2}], + Offset[{-36., 9.999999999999993}, {0.641158, 1.2}], + Offset[{-36., 27.999999999999993`}, {0.641158, 1.2}]}]}, + {RGBColor[0, + NCache[ + Rational[2, 3], 0.6666666666666666], 0], AbsoluteThickness[1.25], + EdgeForm[None]}, {}, InsetBox[ + StyleBox[ + RotationBox[ + StyleBox["\<\"augmented bit\"\>", + StripOnInput->False, + FontWeight->Bold, + FontColor->RGBColor[0, + Rational[2, 3], 0]], + BoxRotation->0.], + StripOnInput->False, + LineOpacity->1, + FrontFaceOpacity->1, + BackFaceOpacity->1, + Opacity->1, + FontOpacity->1], Offset[{0., 19.}, {0.641158, 1.2}], NCache[ + ImageScaled[{Rational[1, 2], Rational[1, 2]}], + ImageScaled[{0.5, 0.5}]]]}]}}, + AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], + Axes->{True, False}, + AxesLabel->{None, None}, + AxesOrigin->{0.4000000000000009, 0}, + DisplayFunction->Identity, + Epilog->{ + Directive[ + GrayLevel[0]], { + LineBox[{{0.826, -0.8}, {0.826, 1}}], + InsetBox[ + FormBox[ + StyleBox[ + "\"representative bit\"", Bold, FontFamily -> "Helvetica", + StripOnInput -> False], TraditionalForm], {0.826, -0.9}]}, + Directive[ + GrayLevel[0.5], + Dashing[{Small, Small}]], + LineBox[ + NCache[{{ + Rational[1, 2], -1}, { + Rational[1, 2], 1}}, {{0.5, -1}, {0.5, 1}}]], { + LineBox[ + NCache[{{0.826, 0.2}, { + Rational[1, 2], 0.2}}, {{0.826, 0.2}, {0.5, 0.2}}]], + InsetBox[ + FormBox[ + StyleBox[ + "\"margin\"", Bold, FontFamily -> "Helvetica", StripOnInput -> False], + TraditionalForm], {0.663, 0.3}]}}, + Frame->{{False, False}, {False, False}}, + FrameLabel->{{None, None}, {None, None}}, + FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines->{None, None}, + GridLinesStyle->Directive[ + GrayLevel[0.5, 0.4]], + ImagePadding->{{0, 0}, {0, 25}}, + Method->{ + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, + "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ + (Identity[#]& )[ + Part[#, 1]], + (Identity[#]& )[ + Part[#, 2]]}& ), "CopiedValueFunction" -> ({ + (Identity[#]& )[ + Part[#, 1]], + (Identity[#]& )[ + Part[#, 2]]}& )}, "AxesInFront" -> True}, + PlotRange->{{0.4, 1.}, {-1., 1.}}, + PlotRangeClipping->False, + PlotRangePadding->{{0, + Scaled[0.02]}, {0, + Scaled[0.08090169943749476]}}, + Ticks->{Automatic, {}}]}]], "Input", + CellChangeTimes->{{3.888327460726316*^9, 3.88832747231983*^9}, { + 3.88832886294895*^9, 3.8883288634551907`*^9}, {3.8883297762064333`*^9, + 3.8883297772675*^9}}, + CellLabel-> + "In[1336]:=",ExpressionUUID->"7055d4a9-6536-4622-a076-e754f640eaa7"], + +Cell[BoxData[ + GraphicsBox[{GraphicsComplexBox[CompressedData[" +1:eJxTTMoPSmViYGCwBGIQrfMmlPu67wN7BjD4YC/M/4HjyC8En2X/7PXKcx7C ++dkmu29yej+C81d7Ji3Y9w3B//paSuDZtMdw/tZgd+YpLk/g/HqP1vlbniH4 +ine9bixufQrnW5m3TJE0egbnx8id/8l4GcH/eqr3UUHjczh/BktcSZDKC4T7 +721dxHQEwWdAA30GGxmZGBD+W/BXqct3CYIf9rGzW6sE3bwbUP4De0h4HYDy +L9hfOKrhH/Aeof5CyJmcv6oP0PSfgKuH6N8A5R+w/xT4vmLlTYR+pc72uQJC +CP19aRy/GCdfgvJv2Ds9Yph4qOQEnL/vcr+qOvNLuPo6BUGbV5bo9u+A2wex +fwGUv8HeW/mpqRQHQn2AUrxf0+qrUP4de/N07XM+iUeg/Cv2++tddyn/eoHm +vkNQ/gmo+3bA+T/fabKyyyDMnxGa7M389RzcPN/Ya8EWHWfg9sVMibOu2QxL +Ty+g7l8Bd2/CB2EmeWaEeTfk3tfP40D43yxsW6YoL0L+VZh2xkKk+NbK0GRY +w45Qf63zz+w5rAj5P+xpa9/+RfgPPXzR5e++rcrsYkDIw9LXrJkg8HI/TD2M +DzMPxoe5H8YHAPP7Kw8= + "], {{{}, {}, {}, + {RGBColor[0.8, 1., 0.8], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[{{29, 56, 57, 45, 48}}], + PolygonBox[{{16, 54, 55, 50, 36, 21, 25, 14, 18, 13, 12, 11, 10, 9, + 8, 7, 6, 5, 4, 3, 2, 17, 1, 30, 22, 39, 26, 46, 33, 49, 44, + 47}}]}]}, {}, {}, {}, {}, {}, {}}, {{}, {}, {}, + TagBox[ + {Opacity[0], + LineBox[{16, 47, 44, 49, 33, 46, 26, 39, 22, 30, 1, 17, 2, 3, 4, 5, 6, + 7, 8, 9, 10, 11, 12, 13, 18, 14, 25, 21, 36, 50}], + LineBox[{29, 48, 45}]}, + Annotation[#, "Charting`Private`Tag$8125932#2"]& ], + {RGBColor[0.8, 1., 0.8], LineBox[{52, 53, 51}]}}}], {{}, + GraphicsGroupBox[{ + {Opacity[0], CapForm["Butt"], JoinForm["Round"], + BSplineCurveBox[{ + Offset[{1.8369701987210297`*^-16, 3.}, {0.6411580000000001, 1.}], + Offset[{0, 0}, {0.641158, 1.2}], Offset[{0, 5}, {0.641158, 1.2}], + Offset[{0, 10}, {0.641158, 1.2}], + Offset[{0, 10}, {0.641158, 1.2}]}]}, + {RGBColor[0, + NCache[ + Rational[2, 3], 0.6666666666666666], 0], AbsoluteThickness[1.25], + BSplineCurveBox[{ + Offset[{1.8369701987210297`*^-16, 3.}, {0.6411580000000001, 1.}], + Offset[{0, 0}, {0.641158, 1.2}], Offset[{0, 5}, {0.641158, 1.2}], + Offset[{0, 10}, {0.641158, 1.2}], + Offset[{0, 10}, {0.641158, 1.2}]}]}, + {EdgeForm[None], FaceForm[Opacity[0]], + PolygonBox[{ + Offset[{36., 28.000000000000007`}, {0.641158, 1.2}], + Offset[{36., 10.000000000000007`}, {0.641158, 1.2}], + Offset[{-36., 9.999999999999993}, {0.641158, 1.2}], + Offset[{-36., 27.999999999999993`}, {0.641158, 1.2}]}]}, + {RGBColor[0, + NCache[ + Rational[2, 3], 0.6666666666666666], 0], AbsoluteThickness[1.25], + EdgeForm[None]}, {}, InsetBox[ + StyleBox[ + RotationBox[ + StyleBox["\<\"augmented bit\"\>", + StripOnInput->False, + FontWeight->Bold, + FontColor->RGBColor[0, + Rational[2, 3], 0]], + BoxRotation->0.], + StripOnInput->False, + LineOpacity->1, + FrontFaceOpacity->1, + BackFaceOpacity->1, + Opacity->1, + FontOpacity->1], Offset[{0., 19.}, {0.641158, 1.2}], NCache[ + ImageScaled[{Rational[1, 2], Rational[1, 2]}], + ImageScaled[{0.5, 0.5}]]]}]}}, + AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], + Axes->{True, False}, + AxesLabel->{None, None}, + AxesOrigin->{0.4000000000000009, 0}, + DisplayFunction->Identity, + Epilog->{ + Directive[ + GrayLevel[0]], { + LineBox[{{0.826, -0.8}, {0.826, 1}}], + InsetBox[ + BoxData[ + FormBox[ + StyleBox[ + "\"representative bit\"", Bold, FontFamily -> "Helvetica", + StripOnInput -> False], TraditionalForm]], {0.826, -0.9}]}, + Directive[ + GrayLevel[0.5], + Dashing[{Small, Small}]], + LineBox[ + NCache[{{ + Rational[1, 2], -1}, { + Rational[1, 2], 1}}, {{0.5, -1}, {0.5, 1}}]], { + LineBox[ + NCache[{{0.826, 0.2}, { + Rational[1, 2], 0.2}}, {{0.826, 0.2}, {0.5, 0.2}}]], + InsetBox[ + BoxData[ + FormBox[ + StyleBox[ + "\"margin\"", Bold, FontFamily -> "Helvetica", StripOnInput -> False], + TraditionalForm]], {0.663, 0.3}]}}, + Frame->{{False, False}, {False, False}}, + FrameLabel->{{None, None}, {None, None}}, + FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines->{None, None}, + GridLinesStyle->Directive[ + GrayLevel[0.5, 0.4]], + ImagePadding->{{0, 0}, {0, 25}}, + ImageSize->{299.625, Automatic}, + Method->{ + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> + AbsolutePointSize[6], "ScalingFunctions" -> None, + "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ + (Identity[#]& )[ + Part[#, 1]], + (Identity[#]& )[ + Part[#, 2]]}& ), "CopiedValueFunction" -> ({ + (Identity[#]& )[ + Part[#, 1]], + (Identity[#]& )[ + Part[#, 2]]}& )}, "AxesInFront" -> True}, + PlotRange->{{0.4, 1.}, {-1., 1.}}, + PlotRangeClipping->False, + PlotRangePadding->{{0, + Scaled[0.02]}, {0, + Scaled[0.08090169943749476]}}, + Ticks->{Automatic, {}}]], "Output", + CellChangeTimes->{3.888327473219499*^9, 3.888328864352157*^9, + 3.888329777882555*^9}, + CellLabel-> + "Out[1336]=",ExpressionUUID->"737c30ba-7772-41be-8230-c66611a20109"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"g3", "=", + RowBox[{"GraphicsRow", "[", + RowBox[{ + RowBox[{"{", + RowBox[{"g1", ",", "g2"}], "}"}], ",", + RowBox[{"Dividers", "->", + RowBox[{"{", + RowBox[{"{", + RowBox[{"False", ",", "LightGray", ",", "False"}], "}"}], "}"}]}]}], + "]"}]}]], "Input", + CellChangeTimes->{{3.888327476813776*^9, 3.888327566474523*^9}, { + 3.888327609406866*^9, 3.888327652982141*^9}, {3.888327708217844*^9, + 3.888327778900248*^9}, {3.888327859449986*^9, 3.8883278852434883`*^9}, { + 3.888327982030218*^9, 3.8883280618627977`*^9}}, + CellLabel-> + "In[1337]:=",ExpressionUUID->"8f1d6821-732d-4356-aecb-68dd42194a0c"], + +Cell[BoxData[ + GraphicsBox[{{}, {InsetBox[ + GraphicsBox[{GraphicsComplexBox[CompressedData[" +1:eJxTTMoPSmViYGBQBWIQfabF5NwxrfP2DGDwwV5+wuufK99dgPNff79/76rB +JTh/yavdp/j6LsP5fLLL3z95cgXO78ncmrZA5Rqc/81h9ZOM+utwPgMaYDzk +5dT75ixc3ull0wY2J4T9jqEblrJcQpi3def2M/aKN+D8OQ9Cawp8EfrDajdG +hFxA2Je22J5jVfc5NP0noPwH9i/zoyUf/T0Dl39yfVfbVk+E+X6BAff/zTmL +pn8HlH8Bqn8P3LwzHjtXVpki9Huc7rz5XuIQlH/D3mnFDa+VqujmrYDyD9hX +S7vGC/kh9E/pibn04y3CfSF52yY3JCPk/26a4d8ageBfUvzj8+HzGZzy6Obb +PM+77h2Mad+smSDwcj9MPYwPMw/Gh7kHxgcApdHWxQ== + "], {{{}, {}, {}, + {RGBColor[0.8, 1., 0.8], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[{{29, 36, 37, 28}}], + PolygonBox[{{27, 34, 35, 26, 18, 22, 12, 14, 7, 11, 6, 5, 4, 3, + 2, 10, 1, 15, 9, 19, 13, 24, 17, + 30}}]}]}, {}, {}, {}, {}, {}, {}}, {{}, {}, {}, + TagBox[ + {Opacity[0], + LineBox[{27, 30, 17, 24, 13, 19, 9, 15, 1, 10, 2, 3, 4, 5, 6, 11, + 7, 14, 12, 22, 18, 26}], LineBox[{29, 28}]}, + Annotation[#, "Charting`Private`Tag$8124299#2"]& ], + {RGBColor[0.8, 1., 0.8], LineBox[{32, 33, 31}]}}}], {{}, + GraphicsGroupBox[{ + {Opacity[0], CapForm["Butt"], JoinForm["Round"], + BSplineCurveBox[{ + Offset[{6.178901352847948*^-15, 3.}, {0.3035419999999998, 1.}], + Offset[{0, 0}, {0.30354199999999987`, 1.2}], + Offset[{0, 5}, {0.30354199999999987`, 1.2}], + Offset[{0, 10}, {0.30354199999999987`, 1.2}], + Offset[{0, 10}, {0.30354199999999987`, 1.2}]}]}, + {RGBColor[0, + NCache[ + Rational[2, 3], 0.6666666666666666], 0], AbsoluteThickness[1.25], + BSplineCurveBox[{ + Offset[{6.178901352847948*^-15, 3.}, {0.3035419999999998, 1.}], + Offset[{0, 0}, {0.30354199999999987`, 1.2}], + Offset[{0, 5}, {0.30354199999999987`, 1.2}], + Offset[{0, 10}, {0.30354199999999987`, 1.2}], + Offset[{0, 10}, {0.30354199999999987`, 1.2}]}]}, + {EdgeForm[None], FaceForm[Opacity[0]], + PolygonBox[{ + Offset[{36., 28.000000000000007`}, {0.30354199999999987`, 1.2}], + Offset[{36., 10.000000000000007`}, {0.30354199999999987`, 1.2}], + Offset[{-36., 9.999999999999993}, {0.30354199999999987`, 1.2}], + Offset[{-36., 27.999999999999993`}, {0.30354199999999987`, + 1.2}]}]}, + {RGBColor[0, + NCache[ + Rational[2, 3], 0.6666666666666666], 0], AbsoluteThickness[1.25], + EdgeForm[None]}, {}, InsetBox[ + StyleBox[ + RotationBox[ + StyleBox["\<\"augmented bit\"\>", + StripOnInput->False, + FontWeight->Bold, + FontColor->RGBColor[0, + Rational[2, 3], 0]], + BoxRotation->0.], + StripOnInput->False, + LineOpacity->1, + FrontFaceOpacity->1, + BackFaceOpacity->1, + Opacity->1, + FontOpacity->1], Offset[{0., 19.}, {0.30354199999999987, 1.2}], + NCache[ImageScaled[{Rational[1, 2], Rational[1, 2]}], + ImageScaled[{0.5, 0.5}]]]}]}}, + AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], + Axes->{True, False}, + AxesLabel->{None, None}, + AxesOrigin->{0, 0}, + DisplayFunction->Identity, + Epilog->{ + Directive[ + GrayLevel[0]], { + LineBox[{{0.2259999999999998, -0.8}, {0.2259999999999998, 1}}], + InsetBox[ + BoxData[ + FormBox[ + StyleBox[ + "\"representative bit\"", Bold, FontFamily -> "Helvetica", + StripOnInput -> False], TraditionalForm]], { + 0.2259999999999998, -0.9}]}, + Directive[ + GrayLevel[0.5], + Dashing[{Small, Small}]], + LineBox[ + NCache[{{ + Rational[1, 2], -1}, { + Rational[1, 2], 1}}, {{0.5, -1}, {0.5, 1}}]], { + LineBox[ + NCache[{{0.2259999999999998, 0.2}, { + Rational[1, 2], 0.2}}, {{0.2259999999999998, 0.2}, {0.5, 0.2}}]], + InsetBox[ + BoxData[ + FormBox[ + StyleBox[ + "\"margin\"", Bold, FontFamily -> "Helvetica", StripOnInput -> + False], TraditionalForm]], {0.3629999999999999, 0.3}]}}, + Frame->{{False, False}, {False, False}}, + FrameLabel->{{None, None}, {None, None}}, + FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines->{None, None}, + GridLinesStyle->Directive[ + GrayLevel[0.5, 0.4]], + ImagePadding->{{0., 0.}, {0., 25.}}, + Method->{ + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> + None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ + (Identity[#]& )[ + Part[#, 1]], + (Identity[#]& )[ + Part[#, 2]]}& ), "CopiedValueFunction" -> ({ + (Identity[#]& )[ + Part[#, 1]], + (Identity[#]& )[ + Part[#, 2]]}& )}, "AxesInFront" -> True}, + PlotRange->{{0., 0.6}, {-1., 1.}}, + PlotRangeClipping->False, + PlotRangePadding->{{0, + Scaled[0.02]}, {0, + Scaled[0.08090169943749476]}}, + Ticks->{Automatic, {}}], {158.62823368535496, -109.63080186802114}, + ImageScaled[{0.5, 0.5}], {297.4279381600405, 208.8205749867069}, + BaseStyle->{Graphics3DBoxOptions -> {SphericalRegion -> False}}], + InsetBox[ + GraphicsBox[{GraphicsComplexBox[CompressedData[" +1:eJxTTMoPSmViYGCwBGIQrfMmlPu67wN7BjD4YC/M/4HjyC8En2X/7PXKcx7C ++dkmu29yej+C81d7Ji3Y9w3B//paSuDZtMdw/tZgd+YpLk/g/HqP1vlbniH4 +ine9bixufQrnW5m3TJE0egbnx8id/8l4GcH/eqr3UUHjczh/BktcSZDKC4T7 +721dxHQEwWdAA30GGxmZGBD+W/BXqct3CYIf9rGzW6sE3bwbUP4De0h4HYDy +L9hfOKrhH/Aeof5CyJmcv6oP0PSfgKuH6N8A5R+w/xT4vmLlTYR+pc72uQJC +CP19aRy/GCdfgvJv2Ds9Yph4qOQEnL/vcr+qOvNLuPo6BUGbV5bo9u+A2wex +fwGUv8HeW/mpqRQHQn2AUrxf0+qrUP4de/N07XM+iUeg/Cv2++tddyn/eoHm +vkNQ/gmo+3bA+T/fabKyyyDMnxGa7M389RzcPN/Ya8EWHWfg9sVMibOu2QxL +Ty+g7l8Bd2/CB2EmeWaEeTfk3tfP40D43yxsW6YoL0L+VZh2xkKk+NbK0GRY +w45Qf63zz+w5rAj5P+xpa9/+RfgPPXzR5e++rcrsYkDIw9LXrJkg8HI/TD2M +DzMPxoe5H8YHAPP7Kw8= + "], {{{}, {}, {}, + {RGBColor[0.8, 1., 0.8], EdgeForm[None], + GraphicsGroupBox[{PolygonBox[{{29, 56, 57, 45, 48}}], + PolygonBox[{{16, 54, 55, 50, 36, 21, 25, 14, 18, 13, 12, 11, 10, + 9, 8, 7, 6, 5, 4, 3, 2, 17, 1, 30, 22, 39, 26, 46, 33, 49, 44, + 47}}]}]}, {}, {}, {}, {}, {}, {}}, {{}, {}, {}, + TagBox[ + {Opacity[0], + LineBox[{16, 47, 44, 49, 33, 46, 26, 39, 22, 30, 1, 17, 2, 3, 4, + 5, 6, 7, 8, 9, 10, 11, 12, 13, 18, 14, 25, 21, 36, 50}], + LineBox[{29, 48, 45}]}, + Annotation[#, "Charting`Private`Tag$8125932#2"]& ], + {RGBColor[0.8, 1., 0.8], LineBox[{52, 53, 51}]}}}], {{}, + GraphicsGroupBox[{ + {Opacity[0], CapForm["Butt"], JoinForm["Round"], + BSplineCurveBox[{ + Offset[{1.8369701987210297`*^-16, 3.}, {0.6411580000000001, 1.}], + Offset[{0, 0}, {0.641158, 1.2}], Offset[{0, 5}, {0.641158, 1.2}], + Offset[{0, 10}, {0.641158, 1.2}], + Offset[{0, 10}, {0.641158, 1.2}]}]}, + {RGBColor[0, + NCache[ + Rational[2, 3], 0.6666666666666666], 0], AbsoluteThickness[1.25], + BSplineCurveBox[{ + Offset[{1.8369701987210297`*^-16, 3.}, {0.6411580000000001, 1.}], + Offset[{0, 0}, {0.641158, 1.2}], Offset[{0, 5}, {0.641158, 1.2}], + Offset[{0, 10}, {0.641158, 1.2}], + Offset[{0, 10}, {0.641158, 1.2}]}]}, + {EdgeForm[None], FaceForm[Opacity[0]], + PolygonBox[{ + Offset[{36., 28.000000000000007`}, {0.641158, 1.2}], + Offset[{36., 10.000000000000007`}, {0.641158, 1.2}], + Offset[{-36., 9.999999999999993}, {0.641158, 1.2}], + Offset[{-36., 27.999999999999993`}, {0.641158, 1.2}]}]}, + {RGBColor[0, + NCache[ + Rational[2, 3], 0.6666666666666666], 0], AbsoluteThickness[1.25], + EdgeForm[None]}, {}, InsetBox[ + StyleBox[ + RotationBox[ + StyleBox["\<\"augmented bit\"\>", + StripOnInput->False, + FontWeight->Bold, + FontColor->RGBColor[0, + Rational[2, 3], 0]], + BoxRotation->0.], + StripOnInput->False, + LineOpacity->1, + FrontFaceOpacity->1, + BackFaceOpacity->1, + Opacity->1, + FontOpacity->1], Offset[{0., 19.}, {0.641158, 1.2}], NCache[ + ImageScaled[{Rational[1, 2], Rational[1, 2]}], + ImageScaled[{0.5, 0.5}]]]}]}}, + AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], + Axes->{True, False}, + AxesLabel->{None, None}, + AxesOrigin->{0.4000000000000009, 0}, + DisplayFunction->Identity, + Epilog->{ + Directive[ + GrayLevel[0]], { + LineBox[{{0.826, -0.8}, {0.826, 1}}], + InsetBox[ + BoxData[ + FormBox[ + StyleBox[ + "\"representative bit\"", Bold, FontFamily -> "Helvetica", + StripOnInput -> False], TraditionalForm]], {0.826, -0.9}]}, + Directive[ + GrayLevel[0.5], + Dashing[{Small, Small}]], + LineBox[ + NCache[{{ + Rational[1, 2], -1}, { + Rational[1, 2], 1}}, {{0.5, -1}, {0.5, 1}}]], { + LineBox[ + NCache[{{0.826, 0.2}, { + Rational[1, 2], 0.2}}, {{0.826, 0.2}, {0.5, 0.2}}]], + InsetBox[ + BoxData[ + FormBox[ + StyleBox[ + "\"margin\"", Bold, FontFamily -> "Helvetica", StripOnInput -> + False], TraditionalForm]], {0.663, 0.3}]}}, + Frame->{{False, False}, {False, False}}, + FrameLabel->{{None, None}, {None, None}}, + FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines->{None, None}, + GridLinesStyle->Directive[ + GrayLevel[0.5, 0.4]], + ImagePadding->{{0., 0.}, {0., 25.}}, + Method->{ + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, + "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> + None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ + (Identity[#]& )[ + Part[#, 1]], + (Identity[#]& )[ + Part[#, 2]]}& ), "CopiedValueFunction" -> ({ + (Identity[#]& )[ + Part[#, 1]], + (Identity[#]& )[ + Part[#, 2]]}& )}, "AxesInFront" -> True}, + PlotRange->{{0.4, 1.}, {-1., 1.}}, + PlotRangeClipping->False, + PlotRangePadding->{{0, + Scaled[0.02]}, {0, + Scaled[0.08090169943749476]}}, + Ticks->{Automatic, {}}], {475.88470105606484, -109.63080186802114}, + ImageScaled[{0.5, 0.5}], {297.4279381600405, 208.8205749867069}, + BaseStyle->{Graphics3DBoxOptions -> {SphericalRegion -> False}}]}, + StyleBox[{{}, + {GrayLevel[0.85], + LineBox[{{317.2564673707099, 0}, { + 317.2564673707099, -219.26160373604225`}}]}}, + Antialiasing->False]}, + ImageSize->{ + UpTo[600], + UpTo[223]}, + PlotRange->{{0, 634.5129347414198}, {-219.26160373604225`, 0}}, + PlotRangePadding->{6, 5}]], "Output", + CellChangeTimes->{{3.8883275027585497`*^9, 3.8883275671689577`*^9}, { + 3.888327611761984*^9, 3.888327654050169*^9}, {3.888327709252116*^9, + 3.8883277800310087`*^9}, {3.8883278711457977`*^9, 3.888327886432271*^9}, { + 3.8883279856131144`*^9, 3.8883280629683523`*^9}, 3.888328867689982*^9, + 3.8883298215589037`*^9}, + CellLabel-> + "Out[1337]=",ExpressionUUID->"ce270566-b4a1-4d04-bcd3-17aac3b97579"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"Export", "[", + RowBox[{ + "\"\\"", ",", "g3"}], "]"}]], "Input", + CellChangeTimes->{{3.888328896053699*^9, 3.88832890252108*^9}}, + CellLabel-> + "In[1338]:=",ExpressionUUID->"52628336-4c12-4de2-b09c-7f15f4d115a3"], + +Cell[BoxData["\<\"/home/wright/coding/discrete-differentiable-networks/docs/\ +margin-trick.png\"\>"], "Output", + CellChangeTimes->{3.888328904006467*^9, 3.888329828075815*^9}, + CellLabel-> + "Out[1338]=",ExpressionUUID->"c332ba01-b593-48f7-9440-c59ac5c44545"] +}, Open ]] }, Open ]] }, Open ]] }, -WindowSize->{1440., 782.25}, +WindowSize->{Full, Full}, WindowMargins->{{1440, Automatic}, {0, Automatic}}, TaggingRules-><|"TryRealOnly" -> False|>, FrontEndVersion->"13.2 for Linux x86 (64-bit) (December 7, 2022)", @@ -69372,7 +70657,7 @@ Cell[219336, 4129, 200474, 3457, 258, "Output",ExpressionUUID->"06b6c066-9840-46 }, Open ]], Cell[CellGroupData[{ Cell[419847, 7591, 181, 3, 29, "Input",ExpressionUUID->"821d0ed8-e5d7-4566-af2e-e376fefd3342"], -Cell[420031, 7596, 9744, 208, 291, "Output",ExpressionUUID->"7e5bc6bb-2f08-4375-bbdc-17aac3b25077"] +Cell[420031, 7596, 9744, 208, 268, "Output",ExpressionUUID->"7e5bc6bb-2f08-4375-bbdc-17aac3b25077"] }, Open ]], Cell[CellGroupData[{ Cell[429812, 7809, 369, 8, 29, "Input",ExpressionUUID->"805f0b64-9f8a-41f4-a1f1-4af571d9de84"], @@ -69425,7 +70710,7 @@ Cell[453342, 8503, 2002, 39, 338, "Output",ExpressionUUID->"393d52a1-31a4-45ac-8 }, Open ]], Cell[CellGroupData[{ Cell[455381, 8547, 3079, 76, 156, "Input",ExpressionUUID->"fa1bbf4c-38c7-4a93-bdfd-d8759f5fc390"], -Cell[458463, 8625, 211705, 3664, 281, "Output",ExpressionUUID->"05e955ca-121c-4b85-b5b3-77cf795c6b8a"] +Cell[458463, 8625, 211705, 3664, 258, "Output",ExpressionUUID->"05e955ca-121c-4b85-b5b3-77cf795c6b8a"] }, Open ]], Cell[CellGroupData[{ Cell[670205, 12294, 321, 7, 29, "Input",ExpressionUUID->"ea7e77b3-102b-4f2c-bf63-5243a1e3563e"], @@ -69568,7 +70853,7 @@ Cell[2958292, 52265, 1007694, 16977, 468, "Output",ExpressionUUID->"c0afbd84-a3a }, Open ]], Cell[CellGroupData[{ Cell[3966023, 69247, 332, 7, 29, "Input",ExpressionUUID->"6686419b-2ea5-48bb-88a2-823ac1da08c7"], -Cell[3966358, 69256, 239, 4, 96, "Output",ExpressionUUID->"655b9f67-0e58-4efb-9650-8a7537761dac"] +Cell[3966358, 69256, 239, 4, 47, "Output",ExpressionUUID->"655b9f67-0e58-4efb-9650-8a7537761dac"] }, Open ]] }, Open ]], Cell[CellGroupData[{ @@ -69577,6 +70862,31 @@ Cell[CellGroupData[{ Cell[3967021, 69276, 336, 8, 29, "Input",ExpressionUUID->"c95211e6-c360-4289-bcdc-e287e518df22"], Cell[3967360, 69286, 459, 13, 33, "Output",ExpressionUUID->"9ad462b9-141f-41b0-b6e2-46866aebb70f"] }, Open ]] +}, Open ]], +Cell[CellGroupData[{ +Cell[3967868, 69305, 402, 6, 67, "Section",ExpressionUUID->"c09d6245-a9a1-43ca-a0e7-db08da84ec46"], +Cell[CellGroupData[{ +Cell[3968295, 69315, 12717, 285, 700, "Input",ExpressionUUID->"d4e8cbf0-82ca-4cca-85c2-900fc8e77611"], +Cell[3981015, 69602, 4721, 98, 462, "Output",ExpressionUUID->"d6c95457-568c-4d4d-861a-ed592bb12954"] +}, Open ]], +Cell[3985751, 69703, 280, 7, 32, "Input",ExpressionUUID->"684d9a6e-d612-4e60-8a29-e2a00934b055"], +Cell[CellGroupData[{ +Cell[3986056, 69714, 5645, 132, 95, "Input",ExpressionUUID->"c5e34d5e-dc1f-4beb-a7be-79a7de270445"], +Cell[3991704, 69848, 5429, 132, 278, "Output",ExpressionUUID->"b6e770cb-2a3c-45a6-a626-400602590fa0"] +}, Open ]], +Cell[3997148, 69983, 293, 7, 32, "Input",ExpressionUUID->"f5350a92-e0ed-422c-abfe-54ea462b9e0e"], +Cell[CellGroupData[{ +Cell[3997466, 69994, 5608, 133, 95, "Input",ExpressionUUID->"7055d4a9-6536-4622-a076-e754f640eaa7"], +Cell[4003077, 70129, 5470, 134, 241, "Output",ExpressionUUID->"737c30ba-7772-41be-8230-c66611a20109"] +}, Open ]], +Cell[CellGroupData[{ +Cell[4008584, 70268, 656, 16, 29, "Input",ExpressionUUID->"8f1d6821-732d-4356-aecb-68dd42194a0c"], +Cell[4009243, 70286, 12547, 280, 243, "Output",ExpressionUUID->"ce270566-b4a1-4d04-bcd3-17aac3b97579"] +}, Open ]], +Cell[CellGroupData[{ +Cell[4021827, 70571, 318, 7, 29, "Input",ExpressionUUID->"52628336-4c12-4de2-b09c-7f15f4d115a3"], +Cell[4022148, 70580, 259, 4, 96, "Output",ExpressionUUID->"c332ba01-b593-48f7-9440-c59ac5c44545"] +}, Open ]] }, Open ]] }, Open ]] } From 2758a09d48ddc64e1a462a8ab0084b71b84509b8 Mon Sep 17 00:00:00 2001 From: Ian Wright Date: Tue, 21 Mar 2023 12:40:03 +0000 Subject: [PATCH 062/128] more --- docs/db.tex | 149 ++++++------ docs/margin-trick.png | Bin 29935 -> 29607 bytes docs/proofs.nb | 545 ++++++++++++++++++++---------------------- 3 files changed, 345 insertions(+), 349 deletions(-) diff --git a/docs/db.tex b/docs/db.tex index f74cdcf..5e88b76 100644 --- a/docs/db.tex +++ b/docs/db.tex @@ -61,7 +61,7 @@ \section{Introduction} \begin{figure}[h] \centering - \includegraphics[width=0.9\textwidth]{db-net.png} + \includegraphics[width=1.0\textwidth]{db-net.png} \caption{{\em Learning discrete functions with a $\partial\mathbb{B}$ net.} A $\partial \mathbb{B}$ net specifies (i) a differentiable neural network that is hard-equivalent to (ii) a non-differentiable discrete function. The neural network is trained as normal with backpropagation to yield a set of real weights. The real weights are hardened to boolean values and then bound with the discrete function. The result is a learned discrete function that performs identically to the trained network.} \label{fig:main-idea} \end{figure} @@ -99,105 +99,103 @@ \section{$\partial\mathbb{B}$ nets} \begin{equation*} \operatorname{harden}(f(\operatorname{harden}({\bf x}))) = g(\operatorname{harden}({\bf x})) \end{equation*} -for all ${\bf x} \in [0,1]^{n}$. +for all ${\bf x} \in [0,1]^{n}$. For shorthand write $f \equiv g$. \end{definition} -$\partial \mathbb{B}$ nets are arbitrary compositions of differentiable functions that are hard-equivalent to boolean functions (and natural generalisations). - -Neural networks are typically composed of nonlinear activation functions (for representational generality) that are strictly monotonic (so gradients always exist that link changes in inputs to outputs) and differentiable (so gradients reliably represent the local loss surface). Activation functions that are only monotonic (so some gradients are zero) and differentiable almost everywhere (so some gradients are undefined) can also work, e.g. RELU \citep{10.5555/3104322.3104425}. $\partial \mathbb{B}$ nets are also composed of `activation' functions that satisfy these properties. But $\partial \mathbb{B}$ net activation functions must also satisfy the additional requirement of hard-equivalence. +Neural networks are typically composed of nonlinear activation functions (for representational generality) that are strictly monotonic (so gradients always exist that link changes in inputs to outputs) and differentiable (so gradients reliably represent the local loss surface). Activation functions that are monotonic but not strictly so (and therefore some gradients are zero) and differentiable almost everywhere (and therefore some gradients are undefined) also work, e.g. RELU \citep{10.5555/3104322.3104425}. $\partial \mathbb{B}$ nets are arbitrary compositions of `activation' functions that also satisfy these properties but in addition are hard-equivalent to boolean functions (and natural generalisations). \begin{figure}[t] \centering - \includegraphics[trim=0pt 0pt 0pt 0pt, clip, width=0.975\textwidth]{logic-gates.png} + \includegraphics[trim=0pt 0pt 0pt 0pt, clip, width=1.0\textwidth]{logic-gates.png} \caption{{\em Gradient-rich versus gradient-sparse differentiable boolean functions.} Each column contains contour plots of functions $f(x,y)$ that are hard-equivalent to a boolean function (one of $\neg(x \oplus y)$, $x \wedge y$, $x \vee y$, or $x \Rightarrow y$). Every function is continuous and differentiable almost everywhere (white lines indicate non-continuous derivatives). The upper plots are gradient-sparse, where vertical and horizontal contours indicate the function is constant with respect to one of its inputs, i.e. $\partial f/\partial y = 0$ or $\partial f/\partial x = 0$. The lower plots are gradient-rich, where the curved contours indicate the function always varies with respect to any of its inputs, i.e. $\partial f/\partial y \neq 0$ and $\partial f/\partial x \neq 0$. $\partial \mathbb{B}$ nets use gradient-rich functions to ensure that error is always backpropagated to all inputs.} \label{fig:gradient-rich} \end{figure} \subsection{Learning to negate} -We want to learn whether to negate a boolean value, $x$, or simply leave it unaltered. We represent this decision by a boolean weight, $w$, where low $w$ means negate and high $w$ means do nothing. The boolean function that meets this requirement is $\neg(x \oplus w)$. However, this function is not differentiable. We therefore define the differentiable function, +We aim to learn to negate a boolean value, $x$, or simply leave it unaltered. Represent this decision by a boolean weight, $w$, where low $w$ means negate and high $w$ means do nothing. The boolean function that meets this requirement is $\neg(x \oplus w)$. However, this function is not differentiable. We therefore define the differentiable function, \begin{equation*} \begin{aligned} - \partial\text{NOT}: [0, 1]^{2} &\to [0,1], \\ + \partial \neg: [0, 1]^{2} &\to [0,1], \\ (w, x) &\mapsto 1 - w + x (2w - 1)\text{,} \end{aligned} \end{equation*} -which is hard-equivalent to the boolean function $\neg(x \oplus w)$ (see proposition \ref{prop:not}). +where $\partial \neg(w, x) \equiv \neg(x \oplus w)$ (see proposition \ref{prop:not}). -Note that $\operatorname{min}$ is hard-equivalent to $\wedge$ and $\operatorname{max}$ is hard-equivalent to $\vee$. So the function $\operatorname{max}(\operatorname{min}(w, x), \operatorname{min}(1-w, 1-x))$ is also hard-equivalent to $\neg(x \oplus w)$. But $\partial\text{NOT}$, in contrast, is a gradient-rich function that always backpropagates error to all its inputs (see figure \ref{fig:gradient-rich}). +Product logics, where for example $f(x,y) = x y$ is as a soft version of $x \wedge y$, although hard-equivalent at extreme values, e.g. $f(1,1)=1$ and $f(0,1)=0$, are not hard-equivalent at intermediate values, e.g. $f(0.6, 0.6) = 0.36$. G\"{o}del-style $\operatorname{min}$ and $\operatorname{max}$ functions, although hard-equivalent over the entire soft-bit range, i.e. $\operatorname{min}(x,y) \equiv x \wedge y$ and $\operatorname{min}(x,y) \equiv x \vee y$, are gradient-sparse in the sense that their outputs are not always a function of all their inputs, e.g. $\frac{\partial}{\partial x} \operatorname{max}(x,y) = 0$ when $(x,y)=(0.1, 0.9)$. So although the composite function $\operatorname{max}(\operatorname{min}(w, x), \operatorname{min}(1-w, 1-x))$ is differentiable and $\equiv \neg(x \oplus w)$ it does not always backpropagate error to its inputs. In contrast, $\partial \neg$ is a gradient-rich function that always backpropagates error to its inputs (see figure \ref{fig:gradient-rich}). -\subsection{Differentiable $\wedge$} +\subsection{Margin packing} -As stated $\operatorname{min}(x, y)$ is differentiable and hard-equivalent to $x \wedge y$. However, it is gradient-sparse, e.g. $\frac{\partial}{\partial x} \operatorname{min}(x,y) = 0$ when $(x,y)=(0.9,0.1)$. Other soft logic functions, such as $f(x,y) = x y$, are not hard-equivalent at intermediate soft-bit values, e.g. $f(0.6, 0.6) = 0.36$. To construct a gradient-rich, hard-equivalent function we first observe that $\operatorname{min}(x,y)$ essentially selects one of $x$ or $y$ as a `representative soft-bit' that is guaranteed to be hard-equivalent to $x \wedge y$. The representative bit, whether low or high, has a corresponding margin up to the threshold value $1/2$. +Say we aim to construct a differentiable analogue of $x \wedge y$. Note that $\operatorname{min}(x,y)$ essentially selects one of $x$ or $y$ as a `representative soft-bit' that is guaranteed hard-equivalent to $x \wedge y$. However, by selecting only one of $x$ or $y$ then $\operatorname{min}$ is also guaranteed to be gradient-sparse. We define a `margin packing' method to avoid this dilemma. + +The main idea of margin packing is (i) select a representative bit that is hard-equivalent to the target discrete function, and then (ii) pack a fraction of the margin between the representative bit and the hard threshold $1/2$ with gradient-rich information. The result is an augmented bit that is a function of all inputs yet hard-equivalent to the target function. \begin{figure}[t] \centering \includegraphics[width=1.0\textwidth]{margin-trick.png} - \caption{{\em todo}.} + \caption{{\em Margin packing for constructing gradient-rich, hard-equivalent functions}. A representative bit, $z$, is hard-equivalent to a discrete target function but gradient-sparse (e.g. $z=\operatorname{min}(x,y) \equiv x \wedge y$). On the left $z$ is low, $z<1/2$; on the right $z$ is high, $z>1/2$. We can pack a fraction of the margin between $z$ and the hard threshold $1/2$ with additional gradient-rich information without affecting hard-equivalence. A natural choice is the mean soft-bit, $\bar{\bf x} \in [0,1]$. The grey shaded areas denote the packed margins and the final augmented bit. On the left $\approx 60\%$ of the margin is packed; on the right $\approx 90\%$.} \label{fig:margin-trick} \end{figure} +% On the left, ${\bf x}=[0.9,0.23]$, $z=0.23$, $\bar{\bf x}=0.57$ and therefore $\approx 60\%$ of the margin is packed; on the right, ${\bf x}=[0.9,0.83]$, $z=0.83$, $\bar{\bf x}=0.87$, and therefore $\approx 90\%$ of the margin is packed. - -Define +Say we have a vector of soft-bit inputs ${\bf x}$ and the $i$th element represents the target discrete function (e.g. if our target is $x \wedge y$ then ${\bf x}=[x,y]$ and $i$ is 1 if $x 1/2 \\ -x_{i} + \operatorname{margin}({\bf x}, i) & \text{otherwise,} +1/2 + \operatorname{margin-fraction}({\bf x}, i) & \text{if } x_{i} > 1/2 \\ +x_{i} + \operatorname{margin-fraction}({\bf x}, i) & \text{otherwise.} \end{cases} \end{aligned} \end{equation*} +If the representative bit is high (resp. low) then the augmented bit is also high (resp. low). +But the augmented bit has a higher (resp. lower) value than the representative bit when below (resp. above) the $1/2$ threshold. The difference depends on the size of the available margin and the mean soft-bit value. Almost everywhere, an increase (resp. decrease) of the mean soft-bit increases (resp. decreases) the value of the augmented bit (see figure \ref{fig:margin-trick}). Note that if the $i$th bit is representative (i.e. hard-equivalent to the target function) then so is the augmented bit (see proposition \ref{prop:augmented}). We now use margin packing to define gradient-rich, hard-equivalents of basic boolean functions. +\subsection{Differentiable $\wedge$} -Define +We aim to construct a differentiable analogue of the boolean function $\bigwedge_{i=1}^{n} x_i$. A representative bit is $\operatorname{min}(x_{1},\dots,x_{n})$. The function \begin{equation*} \begin{aligned} -\partial\text{AND}: [0,1]^{n} &\to [0,1], \\ +\partial \wedge: [0,1]^{n} &\to [0,1], \\ {\bf x} &\mapsto \operatorname{augmented-bit}({\bf x}, \operatorname{argmin}\limits_{i} x[i]) \end{aligned} \end{equation*} -$\partial${AND} is hard-equivalent to the boolean function $\bigwedge_{i=1}^{n} x_i$ (proposition \ref{prop:and}). - +is therefore hard-equivalent to the boolean function $\bigwedge_{i=1}^{n} x_i$ (see proposition \ref{prop:and}). In the special case $n=2$ we get the piecewise function, \begin{equation*} -\partial\text{AND}(x, y) = +\partial\!\wedge\!(x, y) = \begin{cases} 1/2 + 1/2(x + y)(\operatorname{min}(x,y) - 1/2) & \text{if } \operatorname{min}(x,y) > 1/2 \\ \operatorname{min}(x,y) + 1/2(x + y)(1/2 - \operatorname{min}(x,y)) & \text{otherwise.} \end{cases} \end{equation*} - -$\partial${AND} is hard-equivalent to the boolean function $x \wedge y$ (proposition \ref{prop:and}). - - -We also want to maximise fan-in information where necessary (for backprop error signal) but also minimize it where necessary (e.g. picking a representative bit we want to optimize). Representative bit when we want a vector-wise update; otherwise, min/max. - -TODO: min/max are a degenerate case of sorting/ordering +Note that $\partial \wedge$ is differentiable almost everywhere and gradient-rich (see figure \ref{fig:gradient-rich}). \subsection{Differentiable $\vee$} -Define +The differentiable analogue of $\vee$ is identical to $\wedge$, except the representative bit is selected by $\operatorname{max}$. The function \begin{equation*} \begin{aligned} -\partial\text{OR}: [0,1]^{n} &\to [0,1], \\ +\partial\vee: [0,1]^{n} &\to [0,1], \\ {\bf x} &\mapsto \operatorname{augmented-bit}({\bf x}, \operatorname{argmax}\limits_{i} x[i]) \end{aligned} \end{equation*} -$\partial${OR} is hard-equivalent to the boolean function $\bigvee_{i=1}^{n} x_i$ (proposition \ref{prop:or}). +is hard-equivalent to the boolean function $\bigvee_{i=1}^{n} x_i$ (see proposition \ref{prop:or}). Note that $\partial \vee$ is differentiable almost everywhere and gradient-rich (see figure \ref{fig:gradient-rich}). +\begin{comment} Define \begin{equation*} \begin{aligned} -\partial\text{OR}(x, y) = +\partial\!\vee\!(x, y) = \begin{cases} 1/2 + 1/2(x + y)(\operatorname{max}(x,y) - 1/2) & \text{if } \operatorname{max}(x,y) > 1/2 \\ \operatorname{max}(x,y) + 1/2(x + y)(1/2 - \operatorname{max}(x,y)) & \text{otherwise.} @@ -207,7 +205,7 @@ \subsection{Differentiable $\vee$} \begin{comment} \begin{equation*} \begin{aligned} -\partial\text{OR}: [0,1]^{2} &\to [0,1], \\ +\partial \vee: [0,1]^{2} &\to [0,1], \\ (x, y) &\mapsto \begin{cases} 1/2 + 1/2(x + y)(m - 1/2) & \text{if } 2m > 1 \\ @@ -217,25 +215,30 @@ \subsection{Differentiable $\vee$} \end{equation*} \end{comment} -$\partial${OR} is hard-equivalent to the boolean function $x \vee y$ (proposition \ref{prop:or}). \subsection{Differentiable $\Rightarrow$} -Define +The differentiable analogue of $\Rightarrow$ is defined in terms of $\partial\vee$. The function \begin{equation*} \begin{aligned} -\partial\text{IMPLIES}: [0,1]^{2} &\to [0,1],\\ -(w, x) &\mapsto \partial\text{OR}(x, 1-w)\text{,} +\partial\!\Rightarrow: [0,1]^{2} &\to [0,1],\\ +(x, y) &\mapsto \partial\!\vee\!(y, 1-x)\text{,} \end{aligned} \end{equation*} -where $w$ is a weight and $x$ is a soft-bit value. -$\partial${IMPLIES} is hard-equivalent to the boolean function $w \Rightarrow x$ (proposition \ref{prop:implies}). +is hard-equivalent to $x \Rightarrow y$ (proposition \ref{prop:implies}). We can define analogues of all the basic boolean operators in a similar manner. \subsection{Differentiable majority} +Some boolean functions are particularly important for tractable learning. + +We also want to maximise fan-in information where necessary (for backprop error signal) but also minimize it where necessary (e.g. picking a representative bit we want to optimize). Representative bit when we want a vector-wise update; otherwise, min/max. + +TODO: min/max are a degenerate case of sorting/ordering + + \begin{figure}[t] \centering - \includegraphics[trim=0pt 0pt 0pt 0pt, clip, width=0.975\textwidth]{majority-gates.png} + \includegraphics[trim=0pt 0pt 0pt 0pt, clip, width=1.0\textwidth]{majority-gates.png} \caption{{\em Majority.}} \label{fig:majority-plot} \end{figure} @@ -315,36 +318,36 @@ \subsection{Logical layers} Define \begin{equation*} \begin{aligned} -\partial\text{NOT-LAYER}: [0,1]^{n \times m} \times [0,1]^{m} &\to [0,1]^{n \times m}, \\ +\partial \neg \text{LAYER}: [0,1]^{n \times m} \times [0,1]^{m} &\to [0,1]^{n \times m}, \\ ({\bf W}, {\bf x}) &\mapsto \begin{bmatrix} -\partial\text{NOT}(w_{1,1}, x_{1}) & \dots & \partial\text{NOT}(w_{1,m}, x_{m}) \\ +\partial \neg(w_{1,1}, x_{1}) & \dots & \partial \neg(w_{1,m}, x_{m}) \\ \vdots & \ddots & \vdots \\ -\partial\text{NOT}(w_{n,1}, x_{1}) & \dots & \partial\text{NOT}(w_{n,m}, x_{m}) +\partial \neg(w_{n,1}, x_{1}) & \dots & \partial \neg(w_{n,m}, x_{m}) \end{bmatrix} \end{aligned} \end{equation*} where ${\bf W}$ is a matrix of weights and ${\bf x}$ is a vector of soft-bits. -%[\partial\text{NOT}({\bf W}_{1}, {\bf x}), \dots, \partial\text{NOT}({\bf W}_{n}, {\bf x})] +%[\partial \neg({\bf W}_{1}, {\bf x}), \dots, \partial \neg({\bf W}_{n}, {\bf x})] Define \begin{equation*} \begin{aligned} -\partial\text{AND-NEURON}: [0,1]^{n} \times [0,1]^{n} &\to [0,1], \\ -({\bf w}, {\bf x}) &\mapsto \min(\partial\text{IMPLIES}(w_{1}, x_{1}), \dots, \partial\text{IMPLIES}(w_{n}, x_{n}))\text{,} +\partial\!\wedge\!\text{NEURON}: [0,1]^{n} \times [0,1]^{n} &\to [0,1], \\ +({\bf w}, {\bf x}) &\mapsto \min(\partial \Rightarrow(w_{1}, x_{1}), \dots, \partial \Rightarrow(w_{n}, x_{n}))\text{,} \end{aligned} \end{equation*} -where ${\bf w}$ is vector of weights and ${\bf x}$ is a vector of soft-bits. A single AND neuron maps $n$ soft-bit inputs to a single soft-bit value. A $\partial\text{AND-LAYER}$ of $n$ neurons maps $m$ soft-bit inputs to $n$ soft-bit outputs. +where ${\bf w}$ is vector of weights and ${\bf x}$ is a vector of soft-bits. A single AND neuron maps $n$ soft-bit inputs to a single soft-bit value. A $\partial\!\wedge\!\text{LAYER}$ of $n$ neurons maps $m$ soft-bit inputs to $n$ soft-bit outputs. Define \begin{equation*} \begin{aligned} -\partial\text{OR-NEURON}: [0,1]^{n} \times [0,1]^{n} &\to [0,1], \\ -({\bf w}, {\bf x}) &\mapsto \max(\partial\text{AND}(w_{1}, x_{1}), \dots, \partial\text{AND}(w_{n}, x_{n}))\text{.} +\partial\!\vee\!\text{NEURON}: [0,1]^{n} \times [0,1]^{n} &\to [0,1], \\ +({\bf w}, {\bf x}) &\mapsto \max(\partial \wedge(w_{1}, x_{1}), \dots, \partial \wedge(w_{n}, x_{n}))\text{.} \end{aligned} \end{equation*} -A single OR neuron maps $n$ soft-bit inputs to a single soft-bit value. A $\partial\text{OR-LAYER}$ of $n$ neurons maps $m$ soft-bit inputs to $n$ soft-bit outputs. +A single $\vee$ neuron maps $n$ soft-bit inputs to a single soft-bit value. A $\partial\!\vee\!\text{LAYER}$ of $n$ neurons maps $m$ soft-bit inputs to $n$ soft-bit outputs. \subsection{Architectures} @@ -364,6 +367,8 @@ \subsection{Architectures} \section{Experiments} +\subsection{Hardening} + \subsection{Binary Iris} \subsection{Noisy XOR} @@ -372,8 +377,8 @@ \subsection{Noisy XOR} \begin{figure}[t] \centering - \includegraphics[width=0.8\textwidth]{noisy-xor-architecture.png} - \caption{{\em A $\partial\mathbb{B}$ net for the noisy-xor problem}. The net concatenates the soft-bit input, ${\bf x}$ (length 12), with its negation, ${\bf 1 - x}$, and supplies the resulting vector (length 24) to a $\partial\text{AND-LAYER}$ (width 32), $\partial\text{OR-LAYER}$ (width 32), $\partial\text{NOT-LAYER}$ (width 16), and a final $\partial\text{MAJORITY}$ to produce a single soft-bit $y \in [0,1]$ (to predict odd parity) and its negation $1-y$ (to predict even parity). The net's weights, once hardened, consume $288$ bytes.} + \includegraphics[width=1.0\textwidth]{noisy-xor-architecture.png} + \caption{{\em A $\partial\mathbb{B}$ net for the noisy-xor problem}. The net concatenates the soft-bit input, ${\bf x}$ (length 12), with its negation, ${\bf 1 - x}$, and supplies the resulting vector (length 24) to a $\partial\!\wedge\!\text{LAYER}$ (width 32), $\partial\!\vee\!\text{LAYER}$ (width 32), $\partial \neg \text{LAYER}$ (width 16), and a final $\partial\text{MAJORITY}$ to produce a single soft-bit $y \in [0,1]$ (to predict odd parity) and its negation $1-y$ (to predict even parity). The net's weights, once hardened, consume $288$ bytes.} \label{fig:noisy-xor-architecture} \end{figure} @@ -421,14 +426,13 @@ \section*{Appendix} \section{Proofs} \begin{prop}\label{prop:not} - $\partial${NOT} is hard-equivalent to the boolean function - $\neg (x \oplus w)$. + $\partial \neg(x,y) \equiv \neg (x \oplus y)$. \begin{proof} Table \ref{not-table} is the truth table of the boolean function $\neg (x \oplus w)$, where $h(x) = \operatorname{harden}(x)$. \begin{table} \begin{center} \begin{tabular}{cccccc} - \multicolumn{1}{c}{$w$} &\multicolumn{1}{c}{$x$} &\multicolumn{1}{c}{$h(w)$} &\multicolumn{1}{c}{$h(x)$} &\multicolumn{1}{c}{$\partial\text{NOT}(h(w), h(x))$} &\multicolumn{1}{c}{$h(\partial\text{NOT}(h(w), h(x)))$} + \multicolumn{1}{c}{$x$} &\multicolumn{1}{c}{$y$} &\multicolumn{1}{c}{$h(x)$} &\multicolumn{1}{c}{$h(y)$} &\multicolumn{1}{c}{$\partial \neg(h(x), h(y))$} &\multicolumn{1}{c}{$h(\partial \neg(h(x), h(y)))$} \\ \hline \\ $\left[0, \frac{1}{2}\right]$ & $\left[0, \frac{1}{2}\right]$ & 0 & 0 & 1 & 1\\[0.1cm] $\left(\frac{1}{2}, 1\right]$ & $\left[0, \frac{1}{2}\right]$ &1 & 0 & 0 & 0\\[0.1cm] @@ -436,20 +440,27 @@ \section{Proofs} $\left(\frac{1}{2}, 1\right]$ & $\left(\frac{1}{2}, 1\right]$ &1 & 1 & 1 & 1\\[0.1cm] \end{tabular} \end{center} - \caption{$\partial${NOT} is hard-equivalent to $\neg (x \oplus w)$.}\label{not-table} + \caption{$\partial \neg(x,y) \equiv \neg (y \oplus x)$.}\label{not-table} \end{table} \end{proof} \end{prop} +\begin{prop}\label{prop:augmented} + If a representative bit is hard-equivalent to a target function then so is the augmented bit. + \begin{proof} + todo + \end{proof} +\end{prop} + \begin{prop}\label{prop:and} - $\partial${AND} is hard-equivalent to the boolean function $x \wedge y$. + $\partial\!\wedge\!(x,y) \equiv x \wedge y$. \begin{proof} Table \ref{and-table} is the truth table of the boolean function $x \wedge y$, where $h(x) = \operatorname{harden}(x)$.. \begin{table} \begin{center} \begin{tabular}{cccccc} - \multicolumn{1}{c}{$w$} &\multicolumn{1}{c}{$x$} &\multicolumn{1}{c}{$h(w)$} &\multicolumn{1}{c}{$h(x)$} &\multicolumn{1}{c}{$\partial\text{AND}(h(w), h(x))$} &\multicolumn{1}{c}{$h(\partial\text{AND}(h(w), h(x)))$} + \multicolumn{1}{c}{$x$} &\multicolumn{1}{c}{$y$} &\multicolumn{1}{c}{$h(x)$} &\multicolumn{1}{c}{$h(y)$} &\multicolumn{1}{c}{$\partial \wedge(h(x), h(y))$} &\multicolumn{1}{c}{$h(\partial \wedge(h(x), h(y)))$} \\ \hline \\ $\left[0, \frac{1}{2}\right]$ & $\left[0, \frac{1}{2}\right]$ & 0 & 0 & 0 & 0\\[0.1cm] $\left(\frac{1}{2}, 1\right]$ & $\left[0, \frac{1}{2}\right]$ &1 & 0 & $\frac{1}{4}$ & 0\\[0.1cm] @@ -457,19 +468,19 @@ \section{Proofs} $\left(\frac{1}{2}, 1\right]$ & $\left(\frac{1}{2}, 1\right]$ &1 & 1 & 1 & 1\\[0.1cm] \end{tabular} \end{center} - \caption{$\partial${AND} is hard-equivalent to $x \wedge y$.}\label{and-table} + \caption{$\partial \wedge(x,y) \equiv x \wedge y$.}\label{and-table} \end{table} \end{proof} \end{prop} \begin{prop}\label{prop:or} - $\partial${OR} is hard-equivalent to the boolean function $x \vee y$. + $\partial\!\vee\!(x,y) \equiv x \vee y$. \begin{proof} Table \ref{or-table} is the truth table of the boolean function $x \vee y$, where $h(x) = \operatorname{harden}(x)$.. \begin{table} \begin{center} \begin{tabular}{cccccc} - \multicolumn{1}{c}{$w$} &\multicolumn{1}{c}{$x$} &\multicolumn{1}{c}{$h(w)$} &\multicolumn{1}{c}{$h(x)$} &\multicolumn{1}{c}{$\partial\text{OR}(h(w), h(x))$} &\multicolumn{1}{c}{$h(\partial\text{OR}(h(w), h(x)))$} + \multicolumn{1}{c}{$x$} &\multicolumn{1}{c}{$y$} &\multicolumn{1}{c}{$h(x)$} &\multicolumn{1}{c}{$h(y)$} &\multicolumn{1}{c}{$\partial \vee(h(x), h(y))$} &\multicolumn{1}{c}{$h(\partial \vee(h(x), h(y)))$} \\ \hline \\ $\left[0, \frac{1}{2}\right]$ & $\left[0, \frac{1}{2}\right]$ & 0 & 0 & 0 & 0\\[0.1cm] $\left(\frac{1}{2}, 1\right]$ & $\left[0, \frac{1}{2}\right]$ &1 & 0 & $\frac{3}{4}$ & 1\\[0.1cm] @@ -477,19 +488,19 @@ \section{Proofs} $\left(\frac{1}{2}, 1\right]$ & $\left(\frac{1}{2}, 1\right]$ &1 & 1 & 1 & 1\\[0.1cm] \end{tabular} \end{center} - \caption{$\partial${OR} is hard-equivalent to $x \vee y$.}\label{or-table} + \caption{$\partial \vee(x,y) \equiv x \vee y$.}\label{or-table} \end{table} \end{proof} \end{prop} \begin{prop}\label{prop:implies} - $\partial${IMPLIES} is hard-equivalent to the boolean function $w \Rightarrow x$. + $\partial\!\Rightarrow\!(x,y) \equiv x \Rightarrow y$. \begin{proof} Table \ref{implies-table} is the truth table of the boolean function $x \Rightarrow y$, where $h(x) = \operatorname{harden}(x)$.. \begin{table} \begin{center} \begin{tabular}{cccccc} - \multicolumn{1}{c}{$w$} &\multicolumn{1}{c}{$x$} &\multicolumn{1}{c}{$h(w)$} &\multicolumn{1}{c}{$h(x)$} &\multicolumn{1}{c}{$\partial\text{IMPLIES}(h(w), h(x))$} &\multicolumn{1}{c}{$h(\partial\text{IMPLIES}(h(w), h(x)))$} + \multicolumn{1}{c}{$x$} &\multicolumn{1}{c}{$y$} &\multicolumn{1}{c}{$h(x)$} &\multicolumn{1}{c}{$h(y)$} &\multicolumn{1}{c}{$\partial \Rightarrow(h(x), h(y))$} &\multicolumn{1}{c}{$h(\partial \Rightarrow(h(x), h(y)))$} \\ \hline \\ $\left[0, \frac{1}{2}\right]$ & $\left[0, \frac{1}{2}\right]$ & 0 & 0 & $\frac{3}{4}$ & 1\\[0.1cm] $\left(\frac{1}{2}, 1\right]$ & $\left[0, \frac{1}{2}\right]$ &1 & 0 & 0 & 0\\[0.1cm] @@ -497,7 +508,7 @@ \section{Proofs} $\left(\frac{1}{2}, 1\right]$ & $\left(\frac{1}{2}, 1\right]$ &1 & 1 & $\frac{3}{4}$ & 1\\[0.1cm] \end{tabular} \end{center} - \caption{$\partial${IMPLIES} is hard-equivalent to $x \Rightarrow y$.}\label{implies-table} + \caption{$\partial \Rightarrow(x,y) \equiv x \Rightarrow y$.}\label{implies-table} \end{table} \end{proof} \end{prop} @@ -538,7 +549,7 @@ \section{Proofs} \begin{equation*} \begin{aligned} \partial\text{AND-LAYER}: [0,1]^{n \times m} \times [0,1]^{m} &\to [0,1]^{n}, \\ -({\bf W}, {\bf x}) &\mapsto [\partial\text{AND-NEURON}({\bf W}_{1}, {\bf x}), \dots, \partial\text{AND-NEURON}({\bf W}_{n}, {\bf x})] +({\bf W}, {\bf x}) &\mapsto [\partial\wedge\text{NEURON}({\bf W}_{1}, {\bf x}), \dots, \partial\wedge\text{NEURON}({\bf W}_{n}, {\bf x})] \end{aligned} \end{equation*} \end{comment} diff --git a/docs/margin-trick.png b/docs/margin-trick.png index e505cfec3d8d5787b4d963f54366f45846489d95..2629388135401697bbd540d15c847c64137fda84 100644 GIT binary patch literal 29607 zcmdSC2Ut|=mMvOlj9|n7A|_M>lpq-tQIx2Xvu;6>l5;c^A}SzCkR%F{lM*GXs7THt z8AK2Y$vIWMvDo|EKDTf8eSP2A_r3e-JH17asD`zUUYbPCl_cp}l(9I<+j$ z1Co(m6|yc3s}6kZX+yT{bpff559tmt@PQbx$d?>Uy{j zJ6B}J{7bIT!n-u_keruy+aiLW2s`$vNUVOfPPuq18^f6|XTMfagCN zsOWm$$5O6mtP;FC6C;?Cm`oCLH*@}^JIDU4W0v%kO>-3%@k@k@;N}f@&5B=Td;LP0P!bO$JJzg@lze!E!y}fT>=f*WF<;~w% zyjiPxk#41_(Yq(AhICIRq-08JYg+@NyAD^#X$;9V@6kDQdbh*{E;5;1vAX=nDz5LR zkEbj*`#5%3CN+a8tb?UURMmg*df8LK1G9@%6JCQGmD5ZWg5#l8BIB|u+(8>~(If`d zrXWt@3sUXotILRQm@Gd|{PhpH+pF-$>BO~fh`&DITegGv^X=jHM6~Stwo;Aw>!)DS zdi-%)ZR@}N^6eK&+QciY{}_ohx9z|Ddw8G!=O6n2(l2Y6Mz1GzDp_>CzY`rDZRprn z{YqV3T{L&mX*fSCDT#x8!eQ)ZmFrZRQNY4fR$*Ih?G}mW0v10q8g-n?ImBl=?`dY< zT+8Yg5I}7TUsUJi36d?KQRi!{FJHb)qb}yEijk_XIuW@kHe6u8t(yuY(z{knBI zs$vt;*cY*bj~Kaha;%MbU8dXYrl&F+U!C=Eorq*PSNAK-u6<#4oJW(M^rW^}gE{2X zt+~%!uAAlDhOELvPF$0?F>vRx`C3*i6zOgBnjIvjqR))F&bR>v33++>Xp?26IqsxQ z0=uzaY;8krxmh=xp6)(*jQqy3r!+4w&!{fCr+4b^ftt<__gY$7&eFwg=KYqaURPcH zMB`;<=9CwI`%Z4Xul+IMFM_r#yUidGZeo+3o}Q?lcB9yvId0Xdo8POet54i0e}3lP zYW+m%uVkH(Wvd?)+6;V4QhWPH)eF)2>EWufGIkCQ=2JJ-l$9IaTr0X#mN(t*L@zRO zn%AXCKd>THFs+*+PMfWY>^DiyzES)7A~S!1UddB`cGaQw{9N5a*Jp?2f`#o&<>V^Z zQ}VWmIxbE&N)-tmS5N(ES2(ZDJ075E+LY%oZjzF3i#@!1_wKc#`xP%loywn|WF;#n zsBmC^8k4nWXJ^me-yld^7-wf^7tRmO%*<5Pb(zE(H|5%y(Onzq{BXV4J1IW?*wLf? z@4kyK)`<@`rLmDuSpNJPVpiZVNolAFu(Go9*s#m8Qt+4a&jT!;0j)VU1Bwcw4Hj)3 zH0m@fx#SsJOz_j<+1I|z!nS!6wKBs6^QJN~G7b*2QsQ$p-oplgSi$2O>3xG)9j1nc zeI13gnbB^8suykj7u~4i;dZ;_C*2u!E_g-lmiUgl>a7T=5}no}cCckMT}a1uwue#2 zo;A2&Fteq!wDb!7B6YgZ4NDT)pF5P3faPN5cMVPQmSS<4pm&=&OZV!{n~^H&@2VFL zy+M2?-|*?%wr>x!__8Z};V0Xgjl1i=eVZC9<4V!a%`7M=c>VfyM8qGJp@LYd{t3%; zq1r5=O?ySY_xBvvEf67_SMW8`y%A`jdqc{J%Fkc)mD<~sZlq`|Z(?Gis90ASCajvI z!RJO@7_Sr_CiAy9H_x%qMp=gQ#^on|-C40FfKxk1zbs%E&yBqKq1?FTn{-E;48rC7 z>swp36cxwQ!WVxBn(M$9-Bn(Y+U}nWNVR%)P7(4 zzE>WZrfs_yo9gQ)aBDYPG6&}dQrv!cvRzrcKQ-8rh2KWlx7l}lMV|MPPD*Zg)v&C% zYTpp4ZERt@%I>Dr4Fg)taDxH1;Zv}HFI%`XcZ0XA18s3y*Ln2w1iS6=qfaj!bVUTj z)FycE;Lz~P*`1u7J^Nt|i!5Kiw2Tan5{q0`MuzBIU!;ebAo&e~RY^EC@{mlx&5i<5 z@`+o`=}tr0zgn%TUz@cZbqyCw)a@RbX-abZPdrDbu>Qf zf|Jv{nd^8+eYgg5mw*QIiq#w5{d(b)oZTB-A6n%yWHsGtr4X}e-uzhgiuErw+nvWN z3?m{Ueozupyzg_UWn1dkHwhzAA__dF1H|`YOVx61Z}DntX*u^t1$r|HTFy@m7A_8& z4Gav_rGx|qPM0XST2A!UV5xP}4KG{2)#MH;FD=a(`M91s(SSjx~XaBRKQ8n4+~j}B1j-rV)MWCxU;SMYh#5M z*M6<2$e;P~2w8=mNnix)-%wvqW(W=mL0)$bWwTt?S+u!IrTFEUd%acR;`o@2drsxy zvOOjDAB&ESHKZ=gZr{EgNy?$ioiXB02^L#ZLt|`w{GN)3${K6my=o-3#}ZXci9+(dtxLDgO%>%N~Q&wf>e1O~HgB>7%Ac;((7&L}@# z!PczgIt6i;q1NmgYt;Vw@026L!t?j{m_Fy$mqtR{We_^ruiz#$c?mzAyOKNcde5nw z7s7Hvv5crgS~@yndS9Q&aOF=Vrd3MQB&Doodji9)Dg_ZNI|VI&Zsc!$vRnQKs*ItL zk>J}~%TN0}x|Pt)6Fyr`Uc2@FCT1a%Z;3=gC6>*NQXf}CQf6M`^{_I*$i~p-v}*sI zRpvh)K75#*Kh4o3xr+%>;YTYIG7?Jep!REMGeCTr_8%n7^dtG9S z#gWk;KYr9t;1(=C&6enKli%14xA!F)(Y?yZn8X!b;CSOkqt;L44i`A}1{v5o=dhl= zZ_RYxy87iA2M33wq$F1I^~^6h6R+c@50cHPv%l#3{TpxFz`odGYR&KVd||%)KR!P^u<7}B2?6Kl_ff{>t?+&k z(LYbx^j}mw>-6*IPf3Fpit@i7dX9~a_3dpq%G@!SlOrT|k@UwQ(**1@K6@}aX@Ep2%%J;%+(}_BxJ`aYECxyqu zpBtJ#yiRH2970~LcY5mY-w?OfekRxY4&QSGpu``tgeyLi_@Z5M8H&&kftu3L_h{Q2|enthSXRXffLwa;X)@ed4)i8g!Jb-(^S z1DkT-3*HQKP0g0}d?#U@Gv?*jxV&SNlR0;{i1EdAJ30OFOLbYNUNvRrNw`wNiXUH) zZP_?;G_77^(HmkGN0vzyxeblB_j5KPFa?}vmC}sL0yvmkE}}#vs3cL&H%K+SRc^Fs z#m#-Vx2ADXx8{37n_tezD;Wii%a?r}dHLuDHq%7py}Z24@+Va&RZ~+_^JKD&Bj*5QFcstx2li9=(t*7mGZ!TjSouOU_uad9(b0!@`=mWfO--$z zKm>Yh++&NV+ACsj-c#x?#pG)9#+YhX=mi4$!-n)p1{kusI9 z1mxLTDfUxM2IJ%7Wo2d4Lv8cOu2J`MDHjqDvp*DWDQh@%eUH zoQrGtF;C?K4Ub#5ZWU4|QxwY(jjxA1pK;qz>VdZSD4GR0R~{^`GY9h@dha-{h8w;A z?c29|Yv`#HG2$FYkCs$a4BC&4e_YS?8`#M6mh=1D%i{Xo78~7|fkg>4!MJ0`UfQ!8 z`uY_?JikVZS$ulAbn@&+e|%qT?lB`kb03kh3&y*WyxYH1`erO$=UY0G0b>aS zQfU*&z{1J8Qoy3<{>BhNs~g3FgM))e1gbg?`h~8G5rTlcGGRyN>tn=hW|$q20e)46 zIn8`YOHC!xQ<2$f6c!~QU>>f{6H!r7joNnFMn*;x24~NnjlUQe7AA`GF|?A`-`_tj zt+-~fFj8y;M=Y&UXy74xvVikQeGreqi}y#;BBgx9@`|aqm#q*3W{#oWGm?EFBFLw$ z3f!XG(XgDfH9vy^k~OuCS~@L+m<7{jxYpWe*E z@>i+^9`J|)&Gn>~aSAU^)O7&CV4Z4fYkdz$RR;4VAi-eA;-)SE`d++vk?tDW3tj41 zpsszFdy;0>P)k+{YS_Zes8w&dk%;>94?k4v1BV)lE!& zw!X7q)V8kKTwG2$N`RrHtoAv80#oE}tQZy*za@t2s1hE|Q!*L;AdWAI-#gs8!`IF=zYwQ-cEKl+7G!Z}ti4 zi<)=7-+bWwajkbJj7J$68C6wODuZ}pVq^R4b!rX;YF$xN+nLl-=tjFP#znH03e;e( zi&5ZWXLkY=X?LS7qAy&wVzq1#cTYD9Z3b{pF;dtj@1|VBfy$+PN*mLqmZbp|v^x!F zq^EBH3=n8JRvoCfYuTokjYL@|a65yBcl;I;1KytwxMK*8+ zX+j-Xp%%T?E{UBd|M;Y=s_l=ZqW34Qzin!C^JZ(llO55{oT$qnkzCYqa_T8ZkT9${ z-g{IWA`=(!A8{A>_W$u5#D74!{C|Ggr?U<|E0GN(kwUkm3w0{}-;+c+pUvY*?>$f- z_-7U-*U%K3`69-iZs{=I1Yam`8gBDPN5{NS0YT{V*#T0F_xHHZif> znw8`t7vJEEG>aDzT*?Id^U|*F?n;svlLoW-F{^kcT+@HYe*Lu-F%Ll|^z;%h*I&XN zh`R~qJ^ZGL$;7KY!$ft7a7hKapNLQ?2K3&Rkx$PoYV5Q^^xW-L zr?dS0{CIhJ0R{AO7#vR{mmsY???2WT5|LlFYuig$f#O)nNa3=K%SjU! z#9jRpm-pA*;E(?*5m;7Xy^M5PiU1q&~LawG=Sywk4x%ReB$-k5;meLmk zBMKF=fyR_~?*!_4s$(RbR9#$LTwPtSUAq=twv6Ps3#84+o%{Fi&kq-hlP@VN zXMmEB4LlqEbZI>Rii7$saY0}Hr3?D&3@x#kq#qG4Uv}PI&q>GncsJj%x{T^ZNvB3o zVWnkdJlg9?)$<^3Zqp-#%EN^D>y)ec&pD~0V~Spn%RLmxK+wSdB3YbGP|pt@efjdm zW3S^8@(JKR(1rSc#)`42>0VLCiPsmOacgfPRhKPY&A~0602~YwSUh4QFAi!0o(Cnb zBK5gwNznZ-gvGy$aSnc>Fj@G9g=wp(?2tIZ$ytdL%U9FhP+N(@UsTTK5ECVJ@^6uRXcvH{A+}i71|SuVId|%JlcJ8!i+_q0U|29BLCJRujyC5a`SEDek*eAM z&b&tOPZQN=S;=vVF+kw#f5nQG)p%b`B%55Y-%{2%PekrM-wWVx?=xWWaK2sSjE9Yl zjZ3XLNT-LpQ3?Jhd-0E3|4&NrU&r|O@89TI86+$$EdENe0RaL3eUd$N=ulRht>#~W zLZMLphCunp#r?G}6%`dS0ms*}J_afT^ZSp0p-@18A3JvJpK=LNq5$%VWP9j+ghA9) za%rhF(r~r%|5}{%+{hu39J9<^1~h9v)yFBO_*-~B_lI?FZ*T(TmIdNk;%ik^;aDlVYO+=~SZ)v&&`BUP z$%l*OzkYqt_d?#}H%&f1zBTlFj~_qIBw|0}cT^EHUA2)SISw)J3uI56Wzt)h8Gvnjj~0lDb4hd)^}i_`al7FwRT&xlMQ9!-!q-@ctf8-|WH z0X%R|psuN@=_aB~8Gj_Nt$7N!Rf??WiF2=2yNDtS*ck*{Qk5d{F0>Q4BG$yyU zwt|I2gD1!``&CN*OUT;OBBIopZVnC(Rx;79K0kRKl0imB1}hn4Grl7qa*6{a9LUp( zU_LO%X18vEV%P=F6Pt>3BYcZuzsVN&ol-Do%qxnL49X0x6~Rk`2h&hiRyKZ1C^?H$ zEl$%z6{V%S@w?#9@y~P|di?upa7IB?@{-@+`iju=G_E zRLrvxo#mksIBpi;Sa)!0fw5*>Y-(*?K+ibXom$OKw#P3thUQJavj7OBoXn2UDLmtwnnKk4|Wu~)kK_&3uibA zl24c#?OY0i1HUVU+|g9v;-s3j`m`CL(N;J3H?r(7wSQf(*-W4JIQkpw)+#ssX zO%I359_BY~-RZ7XqGyQ}^U$^2xwv8HiL0l<6`eVAhSv%rB+h&AUY;A}pFFporNb4Y ziY~6ri}()|jGD=(HK!n8xGry5`BD`e=y!F4F#oWyd@u~?QY4A6f+`WM5dI=OoQ61z zs!XvK$*}rkO)g>{L;_-uar^d-Oadp!)!)8l-lz!ft4T~u1c?^zI@gcwNl;A@6QKz0 z1ssNAw)j;_?249F9`26dB3RpyU{FA}YJ1R~=7;Ct4?U>M`uh5;WUwi}AxDE24R*r{ z`s@`I3hwy+eFoB++h-@jw7z1#LAZlY{0ay_afTOVrij*0fk85%l78Y;_Z8l_PLOZ9dI)x0^ zrzCgzat+cou?PojyQNdo)2+d9<5OA5I2u`*nVjg89AgU#binN&SUU4zVQm)ajox;_ z!{4U{1;i=GlrLQ}|FDWt(h8quJKV0VOT5BM3%#R}x~@BJm-r4<+BgT-*nRdHn}XOK zlF8R6tjuf5ck>!v($UeeM(Ow2a9gnyJ1Eqik@@oFzIAVqn^5)8khsKMosC^pRK7v&(RCWkNG^!Qzdn-xP;xQvN|ddQ35m&A7W$sHF8;=Byi4JHbqG2 z#Q|-BSNGbw7`I1nvIRZ}dyyq$cl2WaM1;_NbO5kMG=7rwF8Q$hX6h$7ZpN>rWFgHe-E&1$-~>FVWD9>Uw?al* z`byoJO-z0EtE3?4g2~U-WFP(3-oCeOEcHLYnDm808@%HT=xuB4w69;k?&RcDTuoWI z`u+0GBG&iI`z9k)>|dv*a@+8ITH7ie*KM-{hm3_=?*gSte4&fJE!MXkEPEGqewdyW zj4r`25(w=zfi+6O(xNYR42NVMmHblS;1+l`cB8weysE!-h4f&Lw%#(weD4_VgoFh8 zy&}(L4})w|O;oFCklVP6`(RFrBHgR#=o_COZr`|ZBW_78-*HmYEWhFU_7$fYCp$k3 zA!*5Ki@bvZguQ`wX9$x8NVBKHKbL^_bta$@(+{+QO#o{wtK{TwG*MGLuHVF zRtkv$#Snr`O(^JALN&C{JY`%Ti&VlamOKb8VSaL;@xZDTr&T9^e=tS0fDTUKc0nh>&w|JYjscGfoef=JkcnI;1+`21Cuj{bWzyv;S3*DC$l2@$RL}oyvOAw-$F1ZCmcr5U-p7pUP&5cW@>Y&V1%t+9k>Tqu;OloRjh*GBg207O;hYu=wv|6{)IN z=-qHvux$9zF51x0z`By4oB*1^I&ZFiz$$TT(uWbG50pdrf#~lO zu&D1_LiK?OL=}zjm&A98A+snziH$Q^+nA&oDD>+jzENJkhSa8_t(^}?f*}t37^KpN z(a%csC;_>kFK|!gvMwYhPf(yV1GrltIn=oCB-HYE=3P+fK+4C~U)Bef`LqH0ukR{S`7>*h88#K>idZYA+rgq! z%=h(^q^m2HC~muPCC>>WfaM6%JX}M6^(B2fyhtQ%|1dP5cz_V`Ggg3B@C`Pi^i#wI2{-;R09hKsoXXB+L9 z88mZiX>WJ^Cpnk&6$Q1I0Sg>G(h2fDEzb!*h1s{?RKImeO{JU* z1qBz7o!#$vAF9*q*>6|e&Qn-$BvCG5iwg-03yY?y5=H{N_$rn!&P~cFx}nMhuRn2? z4hOiu<2^*KXg69zc(kjxF8DXPSEx62?w>AC^jg=qx4&?$DzB)Jt6O%EOrW6Nn(M9^ znHd?(Nh{91MwzdOq^K6o)g7Yj1xBQQ&ja7brol=f*ZDaO3rOn zJ*^6Wc$@xzBm<3v;9X_%I{Ck9S;g`GZ#>jeJHG^N0E8sy2-4|KdPhS;V;#Xb{Woe9 z9DA#6%dP*d^v?f}X!M}rJKOpEN{-XqACGfAxHs%F>=eYgEZluVSxHGY{9dTy-yoaH zHcIGj9n`+JdLsq>NVJJyl;C&$P`5KohGw7c&?LT0=D3~dU9sdrzHk=2)jvrO83jA8 zPX6W#jj8=ZnFPv&N3F3TR z{E7d4Ga$q-aoQ~CaPZFFyLfuNg@?W)b4Nd-=sQwGq4iF~A2yOd?2=NRNPv*$!b}Nl6P>ren6!4o6%5N`^}<*emK77i|ox z2z+a$u+B}`xlP-l0trwX;C~s0#S5mnWRN8B@f54@`Bs3JUjwlT@L*b(914U10geF$ zcqj<(2|8xaTk-k%gewl=Q8-&+=9u}lU=R*!-TCIm!?MpWsi_G7d&7-91&gm3wE-kc zn)eUb<^&w{>)5TWhK1&Tr?D}8)?N6l8=99o|J-!%ZwWdA=Qb8hWdIb&hMXFN8)H7C za5f|-C+C^cE#1jSx(kGN@&zbIK^XapHuA&FFk=5rBi*p3Mr=8=5tZ4;l)3 z7#CN&mRnh(@XTs!pUgCp{kE1y7Kj5Tv4{QFTF6-b`H8L)ws0^3C6a>C^w!7PGpj$R9%wV&G zD_F!`7YH-yXm_z)+>1X8@&U3rE*+;u_jhehej}K%f-(OTf;8wx4^I@JiL62nKhxNTtfcyane%uB*0>O<}GQAyTnvbX`d%WWzxT-&xuzgWu!E)}>n zrJN>wXfr-6j(xB8#-`GH-ggi>r*T}nEmz3v4lKmeZ+%>T8}2Fm@sOQ5??xLIRW@e% zR&h_8u8R$OGhHy9FRxpV&X`_orW3HW0hg*9c}U1*TMzs)@22d<@lO&8>r zoSpzp@7Zk#_mZlrVbfRny1^<^@Nv{PG{6RBFxZ?C)(h7L4TiA%pHF3SG${Yvi>Rro zeQ#)RiZjieD?rE+@-@6V0|IEz2Eh9)Ha8Z0E6SL%K?jJyCR`Zssla^eHb0{((k#_a zILQ?nzw2B4zLNnUD#MxmIyrfWpe%>oX!EyPGDWApUxy)C8(cF?>$~^t;nBXzRjoMO z1@G}t&OkEf;Lz(<+zer{($Q%br*?}c6Rr8f?Z5=8I8{KL<5jeUs$#80e^s5?+Q5SP z=4K)NQa=PfBVn(GPlO&D37P=ENJYHb>>qj#wWDCfoeNhg!7nRNAMK0IDYPS45b`ArjX5(ZOG>C| zzxPr;P!JjYghUj0;UM9ucB4(Z5hi~Y`_4PS=V+5#%nI8+4B0ymXm-p^rnrTLgv@88 zxC{mvyqF~dvkJ2WC3<5XU@VI0#Y0`&h(6td=2ITT!$vlT5lA|vc7R$HPFS@;sSwt> z!iBOzSOj|rg#(-%aq(y_wD7Stf!q6S(i*0pVPpW&B6n~LY{hjCx3d#{3G9C%ra4E0 zWQo9ao9mBJptAQJXl`jCY+DL$b9IQOE2@ohR%Yc#KLa_@jVju&|!#=W%;#r zsfC*82Ql=JTEAjIU~ycWHjbmNqog!}u$BuG;tO`bFbaBgF5QBKh)0}`u=UrPb=_IB z_uXu72=glMj<~uN11qPJ1}rDOBv{9bGi{!IaV@Z=R=6-8N0f;ETWBvT;YI3YBL$p ztC+M#g&{4Q!Sp#sngz z=y#sz{HffcDhe$XjT=O#=nzwi0FB53Xq#X+n3M5E=0P>tDltQBf_J|%T^Byqr}A?? zb#8#|)kr}kJhrge(6P3f7j0y2afV;~ON`iL9K*-03L?I)>xs!0x@!olu;g!{Fx-Ql zlAyEbJHN*YHL4s^%vriH4KHHO2n!;?SXfJxD!GtTZCFoGYNDD39aG3Qykzsw+f`qW zxid(B%_o2&!^e;A>p^Y@xURoUpV+6nn%Tx}_@NLV!2qzmEfq_eUz6LhIAjMG%F*M; z^SZr-g(|tYxM;ong%0Bt{ODf8$RFqZ*k0K050c%qi~A>GC@h}UovRH*1>U`T_Y26F zTfg4~VX8~*(LMaEgh)w_{yNic)I_zn`^itj!kGEe6ft>H1;kOm{B=!*N(Y?2h#*kJ z^gg?3loV<_&I1g_qHld_|F; z8kAYd;6?iGeW;oE>NG>3u@G7c6566(L$e(*O2JANpNkZy@KVm82PHJPJCRMzLJOY5ui`* z6F+Kn>f0oELXH|9IzS3D_cZL1PrpVz{6t zR;}jG75~!>Dds%WbygqDk6ft0NwRq;|9OGWNS9V|EMwY>Qv$tGN4x)Eyqct*c9?A5 zY!n0fH?i()&9Z&uk#Cx2F5mShkF^&)mO1>a<`w7UeYq9c$1x^ z?J6U44e?FOb-(AImgr4vVtHG!gSZ!g2xzuqBkxy$`piW!$kEjcZ(Ix)hv(JRy2F#e z;s_jMe!0WXh`ik!Y;p?N04rrfiTK);(?of+|6{%Sf_y|8Guz1J2pR8Rk$&oLbJs;? zW}YHnQc|V$$fw z0c<|J;cb991ZuU;llAQOor@Q2cDn}Fp1IH)i9K>JRWU|BjL$@cjx|UY)cr~FNDr5r zAfIV3`f+T@2(SwUplcp!mH+Je@L>6y!~bTzlAr@H$e(Us&q{y?=|OGC-*^%ENz?pR6mB60#;&a{pTpo(vM|>P;A^n?{dHn{3ogNl6hOFXsWxJ{AM9o{$1dj^+&; z8XG@6Un>5?jWxI_YU=z!Vf7|3fOXiRyFF4~+f%>*I`D;f28FIR~7pIb90$?jB;&qXTD;YWUU0EEt*?CHQb?>`ppVO3&fBKh@Bk z?x_0ORN3C?;+pxKs)IqYJHkRn9cVVcT7?Y??0PF(c{-ei1V4Ws|5e2z>X^>(2h2l< zdzn3E#;Iaav&lEi%(%?_PPpBOLZ~C3XChtVD+L*uftIXc?AJ`44(nENDd}tO9qs@( zVHod1pWAKQd+Z6z9WO7rAX=g{jj4Zf?lJM&5angxQ@VZjmT~Rt68ttHL0eftKRxE* zNDRT^f7H9ocUCJ8_LY{DTplW{{QC6?ZNbIa8SUH7ty{;-xC)(tMc`FWWY{kxw9zCbuyoyfd7euB`HOg!>E-C81U9j=N@5Ng1mH%gn_lrv6qA|=_fU&J zfEkF=X=ynI#D?wNvwi#Impx`*Z~YwJKEzU|8&xP0%5BJb=a3usW7B>7e>ig3({spY zKfd|HCHc1$G5h%b{d@F1I~W;#;0l7fqha0XvP)^YD}{xHLAT?-vm-zOvOOl=6t{Ii zo87?g9kG`qp;C<(DX(gv3Bo!QjFJsC1V(|WQudT|z+Z@C(01CPkiqjpW?0Y2sdu4Z zjpC$FG7dUsRq|n?0kXBh{Q|*JdV6;;G35aR!sT@1)z#aZiOFVSE&?bc+>PpR;lfuKemfj~F$+emEmiDJ63f>C+8tic3RczF zBq3Yeq*-Zk>O7cK%;11q8y+4mg!qCfUMMS&2tc2Q3s~$wemwEx=EX~k3S9(x2MC9c z4)`you3t-Ad&PVoZN-YZH<2f65Y$S;iY zJa)uvxTnz@^CT$f=&|w52ie$=@$(_n_uU1|4^AN$EL2_DUlfA>yJ zN5`-});B1_olFiDaTr6F0jNhbEId3szsiHgF+%?B>U))vPgTAP`{|x_xWhM{w=h<= z`rb9r<49V03THI%N(bCeYaKGsu?~tlEb^sDN1TW7A4@Rb@Z0+m-lZ*LLt#J9+ zNL1(c@b5|F1v*K=@Vm!(3-ejY-?OcLfg~9k9_~Oj+3h)U=F(!JI0mrik@WWP8CwHY zV!FPjs;a7}=m0OTHFgBrP9Y#Ew1$4_bqzjE7YRB>#z1@rrjY_EpS`%V^t3dShWG~9 z1t4$qbgJvy&YauGy{J4_R&?}U?-sRGmqex?#_$eU-ud~6*nwX|L!2q}ezQlv>aOGw zzYB~379LH*OGF>m18O$~{cy#3lO#9+_LUmR9b0_Q-tcmp#CJ?v&&?H}IUPG+2^OWs z?_|Z&g4^5MKY#ap3cXTvOpMPip2M(s>7LVJ&awLC?QGxiF>AH-x41cRsVE0~`>#z0 zf0m!IuWoIOENg4i_7*tcu~W){SW?bx7(uF!c=dI5!X$C^17qHP_}(pTeS@X1-fGWN zr#lII*Y0&AcZg-f2wM~bVb+V{dXB>>L+AVSsU;NM-Jahxl+zkwb^_5LQp0_HFT;u( z8Y<#6brVJ{2vzG?f6jQmb1R=crXGOhLB`xJp{J+k=i2DEsr;a>Y`18-030HM{pHv% z=@kF)yMinq;O2@^2-i_ln?VxMdS`wOBe34y-h6wLGK`y2qZsz{@T6JayW)L;L-y1W z*i#504>ERupvF(|K8MI~#~FyNtovDY*}squ?x}4O@Z)?LEG)_ELK**g)~ffU^VL-= zSAKQvj1qUp5cyZTcR~g$1^3-O|7G%%?r&EXZHxv+gj%@2jO{I{Y-&>PO)6b@t#{4T zG}$tSRXXkM+tKN1MhPTSKOJ`QRpVRL)~;PUIy#EqdhDuvv|(ZX`iY%CPtW6`IP+Cv z>Pl8=xI|;2RD)~J@p5p;RZ1L*3H-2ly;8L#l{fJHx{Vuc%+0F@CZpJXwZFaY!4QEP z8q?TXTI3YFYE10b?EM7DIm}|tYIK*o7=9BfcHnXKAHRR+S^cU6-UzH zfyudAtGBd~B6^7jI8qJJck*I{1q8~Wy7!g`Vc_^kzKYJb%(OI~%PT&G>ylx2Z~A@d zS;wZ{{qH(j+uF`bNJy%SOPxG<5(Bqy-@bLgP`qsY2{d6?VudiFjEQ)}Ygzlr4)JwQCPHr^=*;$8DWESY(T#K`Q2E{j6W%uO_-Iu@ECHjbjnkfGj-8&`t%3Wt>ojd7!hO^ccO7DotUis}Tz34%MXrS+mxl?7J zY0A9A2vf!9y9tNv=`&7yi_N2WNJ&X0lo5pl`2$(xyrkrFd&i3xJ#SWXslDk0Ro3FN zu|cCDNmF&|8R%^p3yZf`UikY@qP1VgD%&&&o zS*Hlv##eh3MvzyWG~`MsYKM-^2|o1l;`2K%lGuY!Xk%~Qya}U)@kBWB2#Ro*sUU{CT=wpIiZEN= zLh+-Fp&s;4I`Z@L&lVR*U`^49VryU)6eAl|#M7pwZk&fLQ9CEZKlCQZwJgZDe7iF; z;%+2VArdg<33QIR&9^xVKR!P~V%sW#q5Xp1dtclVMiTTa0u-)J_SYF;`jhe$CmnK=Nm#@Uq{M4R+b?C{~IcXwCEo}2+7eUabR^jq0=mR3lH|1Ok;Wc^+zZP-|EF%_x zTlYRZdH!4gQ+L?@qPjXO%-2x7Kp8Ra+Li4*YiZ*NoObi(Z?yQ>IscFlXuvM$Z@zy0 z3I^?aQxh?P$<+~~@ujB50-GZ70MsGIcm;%ob0N4OwuT#1!WkmK)=)MZ&kE)!>_2b- z=pq;`_~y+PV?QtA0)m5uZ~>4-;1?t8sT40p4h_AD3D8;<9UU}K4aDON014sn#nro@ zTETt?Bbp@LD28Nnb8~4n^D8*wdTaRb2m(A(1riG}?hT%@3>OM0ZbN|^ryikAX22@y zSH`Uia!Zv#gfAh_)?B-kE3tL`ju;XIy9E&j4p2T(QBfYA@nRM?XAC(e>*P~Hz$Uk8@ZSvpQVa#ocSivyf|4+SlR9 z7Cuz>E=^DAMfcwTJMbppVHC`hb@}=ENK5Sq1GN1ynDoDK1Bm}6)(fe4o5YC~_U^|T zDC~>VQgkORen_%@!bj`Cx(P~)k9 zO{XQLr1sccquaDe2fza1PZ<4->J9@+3Z75#@F)h=DJmjze4Ej&Kd4U6!@@Xn>D=$% z*Ep`lK8g3%fg1-k$YpNA!qV~>%IndinEslT|$ah>bVz#TZ(|meJn^h8<3nN8r`_u5q`AQI_CY5J-<6KgRJqe(c!OqynJXGEd!YadB~DiaYsDLoXk~(UhR$;!42+ zEh^v9^g(1S!07zw(W8c>0@%=R!i5|asFQ=7@LMz9+|tq!Msm3hk!2+dD!ToJ;t~(= z!tG)zz#JEjHC8SKEX;PAHeIb0XMq%fbQ(U}v~#`ttnTrS6$!E!#}mO5e^B=G^79`( zd>DM{7IE-qX6)+@96jwdUHwBuM8tcqXby(CV8#H=WM?-Gg#eo0HH25`6LQZ{7oJt| zz37WNPzF+T^5M$|b_L-GqZ10Syo1wKcOpEw3Ks~8PA-_&0uS<-nAos(Eit+*EBiQ4 zW?L_whcbxNi~nk5nQHIZ69Od@r+gZ|-}5{=UDW>SS4Am>RH17h$&f1HBm%r89$G=z zC{J9wTN7Zpucf?P)+Q@ZB}pTUfXcN|D1~uArXeAkSos474xp=(%Q95z>bsKVAHrv{ zgPC~|gpm#EYf(|r=g)@(1nfcS;gIoC*w$|a3QWMnccZSGC?Xw>H87YkWTzloz`2Bc zk~MpeU$hg!TL^3)8yky51W*bM6ANh3_0gThdE|_Hl9;>f)tbfl()iiw7{oK81HJQb zO{51rD;^#mB29$3?$|Mk>l!mYbc_V`Fg4WH0_z$J3kyGgR%d4?X4?_58Af%zu2P%M zIp`jeDLzDIIAzIgNm7B2O#YN!WJCm9W7qr5uZmg=XW!Smdt z=W#nSgmj=p0HV{eLi8$%jXUjCZAic5Qh-5W|DC0=W)ey6z~Ay!T9!58dthI;ZXMdq z!{m|iaT7q(sG>W{zEX{FbBc(HqD?=}yop4L)xU6c8R@nY{_WIo2NxOB3R~A6uRq?? zSKDuW5KfrW`WEY132B`~;`Lg&YKE zEmN(rJ};+Oi6t3&o0c{{HI-?-?T!3cADowI*8A{7l^;8nCXYxY!`*BDTFrmytKj^o z6}TXc%h*MK|3hSRbi+0_8P)=CjxBv`f?|yKvuDquig4K(8;FlIuL6#SczcvsIYpd6 ztZL#zOY45?oF`8hWIXV8#=A_HM%ggx8|}Mf5c&JQYSI+K^}gJW4g?+zi3cdQYC=2I z_BdDrl*0g~E`%MsH2;M7*l7VFq5B>lnnLT;*c_|@qtt~kA$y7afB*iX=OG?t)B$+6jujLJJ}J>lBnMutu+Y%se}3$rM+E*~m@cmNAGsR# zv&P@gPp|(pjz`ibj-}@TkVw_MTb72i{=ToAWY*yF(uql1JbOukPF%bY#J+|QliGF% z>$Z0m0El(P#l^K7U;XA_#=BLoQ&nvQZ&SKTrg*u@0iR@OWNd6~_zMmJ3$Zwzd%>2OnVHE*EgLxK zlbn|)BD040;i13#g#6=N5K*qKE3*UYuCQD7QiVB==z(}&A%nBew%0F3EJT_;iw{Zh*DiHy8%Z~rbT^0v)WDR}CiMy()zxaEKQ{yu~=7h=5@ z-R5oECVoCs_$v~(Z`;Oe)-JMd-}`@#M5&ZU13f)DR?M&A7$tgHTDKLrwA8*utTuaS z()}5LFO7&AL%jaAuYjxZ9)|AFG-6_67(PO5CX&b3$b>gX(=1MfX0}K5S%NsUj)&?9`k66jT!lK(X1sJT9shew?bj1}3WJVmdp|$D>0{m(i z6chi$`XGoKj@1lIN+0U)@24nB3s1o_lI&^Eo&;3PecN%85|riwj<;tD0R8ehx!?Qt z)vQ==e;O?42ncS82f(4w;nd%3;UFNY*j(R%?9gY=y1TlrHQ8g)E)D!fZvlL7Nwi&{ zxf3J~2?`2=`>-TtTL>)d^*LsvO5wd&F+BTcX`xToVJlwt5+Va;j4YeLo1}ht9tlDj zZ}F^b*|KE;8&~6Bo(Qk?o&@x|dGLk?rZQ}8GZ{YC)YR0zeR&GdOvD`KMlcpfV(xB{ zfb0D_7+8dm6IyiR_$_8;!|3r#l{0>%|LpCJo=~&3vf3(f@X#SlQ0lhtI|}Gj`S~;P z3=vEn2Y7D5$7Ph_o2TH&2Ne;e2jUK`>Hq+HVPWCyB>W%!@Zgme!Ge;ao)(QJb}aa9 zt#{J)jb^NpkUZf^Co^PbP7kf+$-nnrboI-r3oikORoZP%e5R8?0%q@KZRahH{6+ChHYp^5^8_ z1U+hw_kejUv2j4g?52DMKFxhgJ2(nXJOdRoPcZtUVqz3+2<8*?XThnXXp}YPV)mUl zaj6MUlh8w7xq0(uY!}`SafUs|V;=-;D1Jfy2py@TvKKF&+_?b{{#B7itIcCGg1`W( zwNwTf?$`h#hu5%rpSZZVlvFW#y9Hu41J9R1R_wPcc`(-l29oHAk~I10iI-2z3rB+5 zIN!n|V1BxZiU&4fjlg4ajq{J=Vz(CvU2?*MYw*k~;z@jH%EO|r$9={@!i$61z1Q4& zS%$nE-)#gw^IQy&9nv*qwU2lxa8r}ui4*2{L?y&}%Am=c3a-yzzHHjfd*sB4YUJ~l zmRxjym@`BN{zuTB5XGb#;cRP`vklnt3o2b zlM|jq*LvH<1x|<`e@r@5sbIy6{VP>8G=eSf^uTv? zX}BAX^2nQcmOawyYFb(%c0*c+-bQ`Hhy|uzg2j~T*CrlSjD`@nQ+dnw?NRcKPv0*; zcx40M-IXdq0y(!eVxo7yhp|9Kr2>!U6&(%55@mrD(4XIZb9~Q+`>sbxqqvq(p&6;Y z4w3={Kb(c`g~7TUfxq z17n_z-&1gO!9yNV@>l&0K*yC%MQv591@G%O78=U5HHA)X&A(fG%F2MWG^?PEX~lb; zWF6YD>|C0evWv&)MJJwslO4lc^{K;$&o_NvFm4!@b+|SB`4J;~3#e7)qpH8|!O@7+ z8si#}^O>EDG4VI4qhJdB#_&|s1o5L$S{JXz?a6{W_)4a%f`V!(A=a$NNFb74tRKHo zt)%FKB#a}?X&-y`^!+hHA(<;w#%=a9uRM5zRr1y$xAQD8Xyc&~C0i*V>);pMn>_{V zZ@%lIBOdi&Y)pa8jTK=ESN+FTk&bAZL^9EV5U$?5#Gfdm&z#k%YA;rPH?5ld6@bAKvsAy`A$ukf@B|V^Xe)aYesTA1? zIX}=Hvr2OiPRI=Y@hV9;v)tTc5LrQ5X@bFe%G`p9N<5Rq-Rw6+1WrZ}bkGpB;Bv;` zC(gZkY~ujbR`$f#vKW2zU5`9Ou`LI?*dqamE@DRoAugRon6OZ+261_~HXNw{cYp@e z%g9+S=DmAeadpVhcm$+`k)AWWl@#GYROw4ED7?2DKp1ro57Tgo(NR%@-`_?;kxpFz zHHVVVmG8pWvVij$upZB?5OJeA+u9C22;(A=Hg^;MKLTuFfQG*ZG$NS+tq`HDw7xWU z1A+B_wRY{{P_Jv$?n+U*P}m5OAtkq+dkrbqhGtBIjdo32y1N{iXewjll-`*IqU2Ean8TzIeY%vyQiLq`Tf54UGG}!UEhouGsqgr zp+k;92>5;ZLvRN$zg$E1wfFDrB|H)li$6hnJP5}Yh)FELV>gBung*z|5YP>QV%T8! zvWa~(swZrGq*b3gX29DO6LUB%jl>lrR2_A4VG6HxKn}{z=AT^NFOW(>q$42WEtYuM zX*J=d@2fRvDktmD{lLF`N85<^9N!3MJCG2&+<#{d=xixvDDG*F?0_+kkhGjp2-B1+ z887ZhGFjOPLyypS%wOm`?V+(s(Za2+M8(8pZ2Up6cZx;GEn0tS4Dv!%xW{j{F@-^~ zGYgT@aq_04Oz#Kw-?A(4+KsyocHU-EurAWg_iEA2G?Pp;x3+#-Q?pXjFUx9`riqD( zSuhet{4~)!m?xpG6m-kb5Wx^XVtC}Twfw7}pt1PJeF*~i6GcM96dl!Dzn{qUaI2vF z?t@4M9;yB$twbp>tQ;(~kFPJo&dw^ZKr>D20 zL;+1rlH@}vGUu)F^9!slN$@vthdB=`o7o&0<(yxB;W?MY5g03g1wSEX7TVEMEK8b3 z$2AlLD%^ARDnSH^hoHBl$9=2DJc38*+x7*F2gC*?n0d|?A4pcjH}}7Un>qc(T4>tIR+2?oghQp&>Frieiq!8;8V_+X;OG1CBr;={n{m2->nXh@?83H+qM z!#Q^B7&{Ot8c0gbyYq9klgIf?w0`UdEPkPnN6P5b01Ys84Zd>|*)d~L;vV3b;o%s0 zpLgEPqHSlmc(`cO0Oxb40PbJDe}Gva&BpaNv*CLaacTTGr4y=i)g5FG* zrD@1eBmMGEoTtac3?DUc^UHQB7>){fr%&f*z(80~(aI0X8Vx;-%__WEEyjS(2uMM7 zJXrRV5X+ymU@f)GQzuSre0;+zOoig?dJfGjAi{LOWl&aGlAhiOaRkb$b=2!Mxlf}x zoDtlA&~km_>aX>oQfJ|1RH$@4B;vVYKSFA;MzYg?X=nZb%>q22%U@ReD{QUFIv^m>;t9)+WuQG zrWA)1U%yVItoWtQku9cD3S52U5Eg}$&(_zk#w+vT!!Bv76Vf?QO^bp`CG&K2u5?%| zheQZ-A5bIuLE!T1sac>{5#O*VGdDN)2=>MXo*_^P!xaSBjK+*a?$Dz}z8w>`x5Qp^ zLJMB!3VGAt;Tfs!BaRRPKI9Zcc}oNvOz5BA0qvQ-`aLs$+V*`IG=bqrR0O&@$`g@Q zTZ%*|)YwZl8|MoUelHjsOE7T9TXh5$JOIt@aJj+_iowk`pgJlUIC2zyQ2bn1X8u6D zn!@`6b6ow4IH}!=r^B483hzvH!)43-wUn~)nxq9QZ!m^!0oX2D)Km39#0f7x@0a5yXF)EAR!uiXmo`Br5SHqR86?$S(n71pSfU0n*HsZhz6U8 zKp~h~W>HJFw(h_rkCKQFpdd_Gk-)c=x5>s2|7zL21-_PoCCA6Wr;CSRD9o4>AFmM9 z7uJ=a4v2qb!5n}c0ORSSh{YIgm`$AoD-kOkvqQ@(uW1HkRZlSzYv2xqi6sd8=+NEB ztH5a$->*U}1GV3<3+6rRT1|f2YP^gCfzp#Qh;UWmH4}`JGtQnZY&iC-U+wLH?cd-m zXh0P&^u3^-ymg*cbc*8m?sGmV)u%tnN>j zd(uT&eVs}X=^T&aWVpY|n6eUqNeU!lye`p34?&QFf3_S!Ne|N{wNu-lKPRbU6bc0` z1tVmD7;fMN=F7%D(~UfsSy)8pUocHdO5%=MIR_k`5%L@ueAi?sZ^3q?%LsRovQCQfufWNgx44sD2$++7F24(xtUPu$K9#`zl zyV4Gf=li3XjHR5cj&PO{!Wo5>ivT*oX0!Twdl71^QJxroLmf9Y_)}alB&9JYDNVki zKB0I9fQFsd1ANJ+PMv}=p|3AOzW<$gIKfu(h8cEH*EW(4Ca16m$3;9i8DJ1`D}3Rz zVaKOfjAgw8Su+p#XlmxAXZ;VQaDpXYa8TL$n%LfbE0 z!jNH}3<;3_EtqdV{X!ashS}={zCPz0fKVl#iMTV%ep60BGq5;&qwxXh%a^pS#^L2D7iH$A83vVX|o!mCT1IKwiC`%1v-R zqu2AJPvKwAUeD%Wb2MYH-a8z{cMT;jI(je6pZv=+l`>MmH4o6%sfEW*sE_b5Uj^hG z5bay~6@1SNA;UbcH-K3hYMcU{p6ZX)Oi^lZ6XSb6IM-4lyur1>4@)S@E66#6%z{vQja?Q^oZw0I&HmXWGl7^R1?PX7T9{ zBbL0ztN%Xlj1_*RF0@c-6ix%YIIpi}Qd8lJ(RWF>g-Dk-l_%AE(N&lJyc}zru(C70 zbO2(Su6qO#XJB7L1F~FcI*hA%;C*Z$H|5?#A5~xpeA&m?#+@G>9UQO(!7M+qqNo-0 z6F%lTDapxTf<+=p;7S^e2FoVj5{qk@xGcz^4xDSgPpt*d)XZ!)m6ww81l$dUzT*L` zmi`r9Dh4R74O%Da;nwX-!b}Y0!de1RSLNeK!|QEt$Cr zH5Cb`mB_-!k#X2JhR4bA@bExq#94U;l!b6Ief{%7MlcIhBFP2>F#wcBGB_yAv*?*~ zw6#aDoJy=kATqH(>W(>m#ftsd*N8G9o*auKLuSh?U=_!#DlRRx%4hA4ja5J~LYpWC z>Hwa@aEDt2VA~+~BEUv~J9CIw*Y9zv)&C2?UbB3{xL_5J??WJ!juhPblBVZPF!GnQ!;myFn);EVefYm#z zxz!<<>Z7yVSjj0VmfZoFf1D*<4W0SSng?iqXoZ!2uc*|p83kM?s0+@CK zwtytr6&*cYO)U}S=U`G&qe^L{W9rnD^aD*zA6Cdfi{Mw_sl$#5R1Wt78o9xua2Ps> z(q+?wJ(>WH-PO>l_6QplCCfRultJmPGde(2_S>AC99$UHOvF!2MN0c+3%(0B5HGZ} zw5X{>v4yr<+XO5oOj_CTZ!O`!wYv^#>Qp*>MR{((4@!k$_<~P4sIHJh&>(;CKPWt# zYZHjtZ;Rl4Pvr|w`xootSnrqT;P$!ipTFFW^8eUd8vh8lT<<^x6MS+)5XSZWzy5m1 d$A26o3fFPl`-b$LxEcl@&sBcz*QntK{{=)Z+lK%E literal 29935 zcmeFZXIPWlx-J}bDkxGcfKo*SRGLb!Q4m2K?PB1O7AELNS7`(0s_)I zp$F-qB=isn$r-rT`u5)E+WYK%zO}CJ*Y{r6oPkX8zGFP)e(vXfM&`SxYRa@{Sk6Eo z5ZZ?-_cbAqQ+FYd<1p&u;GKC}fh_RS=cBFfu4x9p^1{{G%GSa1io5p<%PW>%wpI{` z*O;Tak<(vXXAc%H$|;y!d%&yOcCM?Y*~G6k|S zY#b02|{;jBKfNl*HPU+_OV)4Oj zcZbbd)zXQ@qG^in07Fr?*;n3+zuBu9RX*r_W+875u;1HN{iU|PO&#iOp`c91YtbSi z7s4OPkNV`TO(n_i6I$YFV-$X~d0;!umrp4&YQ>kNDz~)ZBP%&_WK-hzi{y7#g zzhMd9lyz6qch_>Za)+C_T0#_EEzR65Ev~?A-EFS8+gM)Fb9S(DHFLc3*v!e=!_3<9 ziu4sY94-X^+uK6s&W^_ESwY}FTu1l$^Kn~erz_gFj+T%+x9*5Y-x86&bL+}&DQQs= zX_4Ei#ujQ2$Q8)L`}efHl2<3a{d9IxpyZyeF1lmqbw`;`Ts?F3`=@k9#{7|CI|-wL zq2gvwhl7H{3X!$PaYWB*$-`lC^04yI@NoE$v^lJA=FQgtnJdSSzx>9tdfMo?1quZf z!l<%barjKQCZ9&nDc>#Eu~@4v)V4T*mRodt{_g%&uvW-jZObn;M?XMp!XPx@B|zoE zvt!_u!S=Yo(c4#_1e^pfcfXwecJ%98(PK=0X8TsdO z*E!w{7a13qGMW| z;Z`>zoTFl1ucAKEkWxQH$Xq~rH0WtUZdgyl1MLvKBPdk)7% zRt1#;CRK-U(TWja_anRC zXyoHk@+dLX$@)u{A~lZ=PiaNBVXd2sT?(d%?2oV_)4q246}Fg_{RooIb?!V@p#Iy; znh(2^#5W9@Db8vS)TlpKf8KBKpzp@WL(3aWlTs(OOR*(WakOiqqH;XP@9SKX|Lgd< zvK*^{O3cA-U>xsu%9I4YxYi8GzWX^2>JGRh{H)SdmLy&t4*PFGWDy?!cNiLKhKo0mYjZ3Sdg zT{9xj$e2zTmr9jya-vBavEG#qBQ;#a5->slFJHF4{$Tu{mXYO;|aAwRH^V?vCWk3b-{)#DD!>T~LeXWaM~cD+iJH&M`n zLoMpxJMC!a1b9b>k*QjN+j!%+6Zi$!GTCZ;3ZiW3JUeAtKpJWmHkI8jQgq|&TBEpA z+^ka%CY3NxcElb+P4;KCoy%+OytkAvUIf-0B|)Di*iMa;k=OVK6kVIIfb(1_HwDE= zF}->Xu}zMMOu;W=_WkU-B2c><7BoTX7j?z7C-2~63nSoNUe_|vT6OXp`+Se`RHHHx z$TmW7&!tp?{uH=Z)k3*FowTkwacWbzhvK>sIzwvRJW#{?{?4aCYV9Xk5K>AI_Ofe0|5q=Y2aA zONIH8jOu)MP71@mWqPV^&R5H=klmV*LZel4+1V8L_SGBXD;0c;!lUIDZG}7$MM%Gm zx#pnJptgjtcP*U4hZ_`c3PqHcMXR7-s%}3atjBoxprp0iSHSzUCe2Y?6NWt)%Ne_j z5blQ=c;o%rrzD zHOp`wQ=zdco4#}JPHgv&a3isj+t6>GDBndK0B3@PTJSB&E;q` zzo~ltgkjB2-=;EVYslZR|u~NZnmI zd6~Q7xJms|7tiKZiawdMN6pXke#6@ngzwodJ;5gA-lXvW)6_RX0QRis; z$U#(Ny%2`+!5ej<#FMHl7xD{A>orJW+@l&a(xw3yx)}BEs;&?UDHBO)_NgY8))v`W zdTS;gDLKX=YH+Zh@8!?D~(b&6JHJyyDLp}nZ1Wrc!H=v^ikdiC( z@6>tKR(uRM=PyrotN7h1w%JTKAHlXRAOvDeG9B{9he^Z$Wn5(*B1!tCT0*(y@SGkW z=eA0e(Qj^j+;=-=@bm0x{$rA^=vvPwTidzbi$(+bZe8~1vQ3FvkMbww zakZ`wZ`M5`&L%?TOE(g9#V01e$$)1>uicQ@Y8FW{WsDj8V6)eHk`nJjd@#=n0MX-) zN_(g!6I=)vImA~#d9zAVVPkS~Be7h;iJw+A7;#izdo#AZ3ir@jxw zNpBS<+S}O`<-jC7CP$nOQnmeM_0UM`KDegdwMo&rETt%B!PJsHPIYqYSk{;#Y&^}? z0N-I{Dti#7Iu$SOZfIwvm2T@$SuAY4*I28%c(`?glAH*weD37>Ty-rrP2ljM>%O@^ zv;v!v6bq|&Xw{Lam)s6%ODJ;ipKmCq=lEU&?rZdBa&znpdMa&`%x;c*+d9)m>~TaC za`pB4G6Z+r3B%Vlh1075n_=%CR2CeFBab<>iEQ)tv>DBQPYGU{^2SuTfy z$$fz5axdT@Hkb+3d!z4qgiw9}Cpn~Uz%h`MNp|AwmlDcfXv+v1N?8csV1RvZ- ztxu}Q!H<_H=J7yac4Lc^Ga7n5@P*aygwl%6M+mnXJ3{W<8+hDQiflr7>kNvOQuC_w z6@!9_EMCHzyg+=?Q#4sB9{2*E>s!R?4hxZ+0s(|cCML~o{}SR}#K)(x@#og(Aar(e zf1hkJ%Gv$uxnF7tRdtF<`6#!dSQ^>dFIkCdITTa^eXfowbrj1%UagnO)@0b~olW3m-l!6=VZaw_i781@As{MizAXk7M1w+6 z=hmE(>2q7vyhM3&(L#isrz4-{En#s4&B>dz=uh!j>s>ocDEhs zj~U`$)b8{yBlXQX5GUF3Sy?C((#}E%*>Vn5#_=qrZ!L7;qd`P6M;pW*+|ObrYEUHG z+VyJ8!IzfkwS8*BqTI ze|-^J@i*A=<%=lTl8a2q>VCLCzjLr1pq@S4+4hUL`AwLzm41kJ=j2Ke{_zg81L8 zDB~ojR%aApO|hUN$4V1tO;A(`)AeGaA@9AejiME@u%An zyA02sM`8WU&#m~;!!?H9joao@ zU2iziDh6H8FZ&J}lGl4nGK)b`b?MXc8zZ0riY%=J*$QQ(y`WFUI^cyuqqt7byoP(@7uzyv$<eS^nw|51n z*4fX)x|k0ECyl6Cf6Y2-Y2o@Dhe{;+b$wTu%yYQv{ zZfo~jr8p}r(!6+a6kvm17eKkT9F8>r|J}&Gk~~X7$}UMcZ9QIgb4K7mD#q!?k>R6A zq}OgReJGT7H#y$N3)5stkEvL%05mm5JH`**2S-+KXY(!CG=hc{)OfDIHIH#;pM$Kq zX3L}J8XeZWE9Es2Bjn~Sn24Fr7E|fx;2kOl9Ug|UApuf4?m4!-1FgVAVRavutq>!- z%FYqd*?v7Cx%KJ_ZVj|Hyp2Cj7DXgl$Q%(be=UF4zDi{_*T)~2f-fkHe2358US$t3 z|FG=GZ^w_Q+=m1Dz2-FH56TtZ#Nz{BvMAmUbvRXN?T}dPLs*WhsC92n<_8^;QGRmF zM~}l#D^UaXg!~j~>*ZJMG~%n1>%n5ky`L*-lDCyF2(9^Je~@0bVTHR6G&ghS?yJQ{q;sP^i6wVD?{|PwB>p97Ad-T~fJrAt9&|b##Lf{n8C!z$44)X%|Vpi44!% z3KLuLvv;qDP%Sbke9GLaPKzUTzp!5$epvLl9fVHG%gj}~kr+ST>EHuDNso;|;A$_k zEt(vU5|NT5WEZQ#uTV?!UKuBHb4Q)mlw2|whY}#pzmxg!<@RKYpZ7={vThU26&O4$ zw;i{MN}eFj4b|vnbEL|BADBj7CJMJskU?^VcnY22a>yT*oK85#y!(BS+k&V2t=n1U^e>L|(Jr7<~|9qD*$AfOw zPm!7;zKkIo?=H@XD4I-=W)g&xy=UmI-GHVdTjOOSkB!#IOtJ5yKQ~F!kDFB1l@#8o zQgD(bKwHU+x1sU)PbqkfHFuS4E(zKy?351S4Fh1#M?p6$zcjn#x3vqeH-)Va9q3{R zr2|M$TfAxn>RLef&!Zj%DsyPvbt1&VM=S^Z1u1Vy;m*Y0m?YRNhxo$$nxkVAc+H~+M_&DDExhdAcUuDSwVUwO(+8aZ&-7W2)_*(c<7)pJ z!O_0qUJp=9E$qTryiIbY|5W#WO6$`TcUu?E02uiQdmxlhGH1#}=}3Mr72^?e^hl*N zekVEN@Y>Ee6`Up6IQvTJm2&c-^(0cGCj@8YkLic0t|Tr4BDOO$Q-pAuULp{_+*&-ZcpstYKkL%P;@9+^F=#41Vs*NFpaM_+dnOxu9lF3V~6914hs=B zlZv2|G&ZO!aW=u6JIM{ebU??yNP6%@V?=M*Yv+8Yuk|(CII$YEdk0QDYbD-%#1=m> zRVtLY19<8|+9t)I&esE!9-cZOB4C_#xu2J7ITm@)*raj89}>5a)04BilUA-KgspnH znQ@Hi<{?lGHFZqI^0&UNP{Ak#=P-|^hDNHj&Zv3szsg2_p9@y?6l{BId3H^7dxWFq zuOAw1ZNI#?A|;U3tJ&&~Ub!Hzw9y(z=_kXD8W7Ag(tV(7C)r#V<{Jh7F)6v%@;fD% z;)RW1#v9g_d#-#U-AiNN8%0Xbr!6?9NmRVREUBf;9Bf5*92k?kGx2`T8w8WFO-)Of zC8`#Y#=2L9WG5CK>0$3=z7{be9UrCLfERvu`yCz>0v8neB_LU~)uy*ovmByW@AYih zO`C4$2*O0n6F_JYNVr8z>2j))4726WJ1vai2e=y;_DM%~JFj*cALHIfmmP^l&r%*#^B)W0+Qq5E@0^{g5;h~zcBXUC9G8c%_E((>Hg_Fm&g zkMa8BWrZ)Mg?pBEKQ>F>cRy11hxGmi0*-pBi>rsC2lZ!rUGyk(kNge7m$`H)Mz^W2 ze%w+8TPLr~{H6Z`(}RVn;}eI(hyh=$CFFcZ^WtDG{fsFhGEkr#wxXe_#@2uoT&Px8 zu}^^Xy8JZXpz$@{GqtDi2R_v>x{aNGn8vo=#+CA>6C+PKQV`g*SH4U{Ik8Nf%7{Pl zytS`OnIe#ob4=?!kt4Fi$IUl6bnJ)Ok?cMe2~_z{ zUF_(l*&|7R`u_h++K)}Z9fzbZ?OIl%`IZ%_Ii;}N=G9>j;Zl&^jYF3%&W_#KAck%s zXh3p(*TSba<}#Oe-SdTzc*1eHwMvANQ=;526;kN zPYPlmixmo{d+s|@&$oJ-%i>Mv)Mt2g$1#X>ewUe>q760ITu^QL(`cM4o%vL)cZBSw z3iaEp+k%1(oM z**8oLzFx*{p_8Gp%ywXZ8ykglU6M@oSC3d{gmi-6F836`Oxql><* z>{)dj#Vf;nH?m ziYsvSLkdp8hBYWCD4ky|kbHRHOqVnOJK0;$(<5E-N@n8s>t9;bM`-XrndJQ^d1sjg z#)VfDSXhrPMQQ^BgJOMw$@yNFK{Q(88q4!yeOdlgoFOD&R~ZZrR|)$oMLo$EFy$>3^`>-`~%m;OOXB zZU0&EhOjWkutKczio_%sDX&Eu{R><+v*D$yt4qzr6p~rPBpnTc*h^P7l@UZ4?C{d4%!qd+^Gs@gxvL={}(!^#IhrnmQ_5E;X&x7k8yEvN133T zudh*2Baq67m&tXmwm$|L<2=e5(}xe+Iuk?`sRy#2TzJ;^#;PY3rmGuk^no8NHvHv3 zWs|>8v&%Z&nZfk>*H?`Ukd_w|t_uh}h6}o1kK$7|(JsB7dimd3hhIS8BFyFLHXeg? z8v&66LcCot@F;5k!}R+<$(jFRbbe<52L6~UEX?8ZON)P;1qcHdS0HeXzCi4eZI)M7 zSkKdf96R#VQKoPodCK>22W{P*d|4r0+|e*i-oGD4$KHB^UiRr9`}krV_>h4hcw+P}FI=a;0 zjP7?Y@Tqmu6S0NIAvQ%53e;c~|2Jm{{*zVx9eH9wUOj7g#n3pIqeVkQGjO!?tsW@K zwWEENv|6ke@i##EW2W(Xe_vZ$Tk6jh72=cSy`Q7w;+zG?6OBG3{Xv4Ze}(%tykz`;f#x>I-C~=*t(2h0X-7K-+<=)8A|q zK|vGZ=kE~w#RwML`s1In$-h4g0l8{1_*KJyfBQ7o#UuCwn9~-;C!A|=u_yH3S%;B{ z>3yN(xqSj2CFKAj=by%#1gsFKZXa6yTnq}pAp%T)?6I@61BkZ10I*2*pX>m<6>?BV z-d_>1?mo-)I7z%fJxv~vi168$R2Va}icLTt==ilU=yjU$s&x62)8s;=TWe;x_%2_L9gan`auX(x7tGHADQK0qBtwQc_ZaB~|a9_6OA&R2SNd z%tu#t%^B%W?=J8yP;pZgn_m5BBh0R>wwTwV0X`tafS4*9*_| zWNoZ0Z+oXdS5U_nzWPLz$F*k8^X9VXi-{jh_TBqK`IFPdEUMOTtE5W|G;x!gRN<_W+Y_JpO<=|4?)KDNMMhI25fM)c ziR(@DMZnTk>&9F6CbEGekz~@`Hj2E0avJ$&)}1UhKR-`PODpHIed+e|pTxy9{CmLw z`nRwoc%2U+uMMja7qL8%v31acGA+-%$(`Dl75XcgZoM= z%(4|%r2M-*7BA9WH{Mu&Pa7h!eQC_RQ@QnvuF>Jba>+@{p_rjj?@|8;yHb|@H)8Dh zRTpD<<5CYtOQWiW+N=2K*?!hF3!U*{5CR*1CX>;&hJ!~9Uu$s6Mxy8D|Y7a;27Ur;dV}F?~(yKZe zZMr^e^}4+XOFUfdOyeG&15_K7oe+jD-bok3v_ISDiO zpMBNJ>|j`ZW2if^a#$N|RnqfWNj42v*%F(P227)Fy7(lp-frE5A*`<4XZC=V4`G|G z%yhhrF^vs!^%@xGi;9WYZLQ1XZ0AY_F)WZPDEPP*^Xv;Y|-^A zD8iZ=vzaO+?>XB!_{^fFRKUT6d76&O{1I1C<pR!58Z z0zar+QxFK<>wPPqy`57C4mK^n2k{=nkjRqg=`=B#_g#H)P`myvzs0WFvN z3fgfnTB8c)Dj|#^k!kQ~^dM))z2?~{-X|>L4*FL=daV>xG6{^po0I^f0|Ybt^F7E| zIoBfHYG}7)&0h@=v#%gBLH4;W z1c;nUmL?A7*XF+&d&AQsc*E!^lfu`6!bwE${NW*G7_uC+i0b(6D8c}!4Xj#(kHU{zV*D7Bdp4!ZRI&&dK<)`03Minh%IfSDbbXJIeIuAMSp0#=v97U z{=g3jQ3j&lu3vr@#Ng>HqY@Ak6X!9-+|9pKPFWxfUf1IaEG?AFGeS9W1x}o+g6+E} z?Bp3d2@@=0kU#4 zYpK~)AAG`5rKDAlKi`fyIG=uBE8R|2$3tlc*FKpP>-;E%z^N@OgIJ!^O3Ky)DBw{; znEdPZv(*3#aP|eRjhPn~R1YU3wBOKkrY43rKdQ!(`ciO_%Ex|e0IBT0$|i692{HOeI?M4fNB)KU zkqS>E059iog<2Zf3n$(NG9=Rb56!qk1A8;o& z6UJ{{H1XZt9PIofzWCE3#@+f!*pnP*INd6?I(2a8((!z+Va!ELy7S3TPk?ME{i=Lx zSjfi*RB@&d#_gL+{n@JMsOrKbl#o>K(7k36BZQ$12ZCMFDp1dUcxN_l>{cusF%Wub`Gll*NE z-p81CGg2M;#oVaG;^F4Qk6PJkf=3+}Ageu43aMR?zjUj#)kN-ytP8D;e8Zm$1g-Lk z7CM!#B4Z=(vL}q&*S}5x;pnTemH|v-vPyYzj#Mq@VTtG1IeZNv`G3F9^l8!_focLZ zHwwd{r>EUR=^$nJM{5dj4WKoG1c4aK+i7oB`OiYHbBi$pdRn2Ky4=JY3gZY4x)!S z&Fr~_IEoP)`@ks-3eCCi_3+;1T{NcxGIT^gUH7P*_8q|Z;;{sU^m%FJOVAzG$)fG@ z{yBo2FC6E;rS4o|n+Zu~DEx8UhHz)*a<-b3m?-O8@dOiEDQlIY8Iv|C--@*yeVEI& zf_cw2b_#aGpvpjS0ltDRXf|&=HjTIHHF#aUjVqyeTm^DT&3pv;*V14u*d}|t9s6~r zkTA;j-U-fo@hNF?bIDwe8Uhf<9zavs?@{^=W#D+@%|~tBVKU~Iivg&f=)TkoD#}o7 zt~~etHS|L|Pv2`kDHHZHalArl<+Y&j0Snd&dHbv5Wk`*`Y0?b68p9zF!>DsT-=`O7 zbh{0zY>8Qb55loSnKn=R+L)7*W0Dv<-tw>zPU_L_&?bxqQ$h!Fz7Cv}Fnzk|+SZcE zYVSE@v0$+)TebL0^?{Q?)%;(aRFKx|u_|m0aTo6%5CADO^<69H3LNLGI*e2|j>Ngz z#4V5!I8ax(0;jlr(smL`BSl(+T(%l(UCfLPRWrJPwlN6)-D8=_4}c?M~_< z7sRZ0FO6|a!78&0Nt2s%WvO&m>;T@1UZ7EW{l1+!Hke^~cd(A!idL82`9f+WrLe*a zlPaB`eN66_>Pj=EgRH6cn8`^9OnpdBCB%6js^QT)UkX7S!4A5|#+Jtz6y63!2}??) z@Em^u0rCrSb~`5SHnqU4%8 z*Axz?_QjkFZ0ki+89Bu)wUZFL;>`6 zti;0mZ}9CvGmsA^E;t;s!KhWuMT0UEU9W3cUS)^xt^;WUdWHp$E`An$Q4oY6ldwVz z0kL53Z1)KblQs0XRNPIK*Iu%zF)@tc3&k-nt^pjLF#vLx>}1dn`IPt4VfC)=)p?L< z70?a^9P&Q?(~!IC-J@~`I!X`C7Erv7#6Q}y&Yz+NP@1q z>|h$#%*<3-;th!O_^^|`WzbPM=U3%NYZrQXDDm@OG}WH)e@f8RmDHYpxU8;vsM;8r z`?UO;z-3vl^&n=Gk@kh7_!uj~b4K~b0?Btd+hEF3;dpLNAK#T`aK zhlFWABV4zw>FrIt$Lu&&ODs)0bXZwCp{xX?askC)I>)g|?c(a0PpSa5jWB-b1z7Od zuF9Y;x}u)=X`{g3hn}mfzG~kH{%X01nz4ixB z6XQcu;9Q7M3CYS*+-uBmY@oM522CQ2MvkqmYYZ^9k~WM zQW^-tLS%7-;$-nt#1JFPjfg);G{P7k7RcP&X;rMfE!v_81f9H{uF{ecS65d$qs7lZ zXE%l=B3kLUPB{3x?I>2WEn-?aS37kLe|5@trgb%u9YZaD(rE?k4JtSa|vtbf%7_!vU5c4s5 zKwVy<28{q@wenvjur`=Eoj!Gx5Zgy8)_)?%{TH(4-!-6rd?V=ZYIrD%ST1PFxdQ*Q zQ3j+;6^sm@p&A<%`WX2XDC9$l;I4mxboh^fz{t^cN#R#}`}^kSM*>eqeSJMwAJFUo zOt_K@orKj&hLM|x1TdiFMBOYKE+xp}7V`a8j!GLMl+f#UjixVsN5d?XFlXI^Rv>b)?+zZYXJ6(Dlt{)Of8MZv>*4;OK<(u$^T;E z9$z7Oj`%6kblGr4y5AQKrvk@vFo}@SRE##VH`0*ruW(#@y;ZZ`U|Zm*L{!Njxye{@ zCUa_7P;Nb__$JOg&mHD!@5tY-%rZYbrW;LJe^6Ck!T9IhHPzrVe zlnzs8AF1Ftp0C9l;Q8gtm$~^k zQ#vkV1abZZ6&+xay{FWE8VqPWL&gM_pPNfSfRflHgUkXKM)uGls1LxyiX^pfvmX*0ONnt z-z95@^7JqsXxPedfhy4LA&?*Eu+P%wxmljA0exQvL+pNgj@#AE?O+?bg;huH1E5id zYpnG+BM-()d*o|AefsqE>(We!FqpSyM--%(9xm%uPWi0#XR3}@)Y8A2rNogsMS6_= zcZN=!I{T}uiyhPwMm^(=rHqKwPj)i7V|C>ya(7V?hs%z4)#4MJ2vH`D+?`9%V<#@? z$mHTk!zq*(4N&9$*+^9%W7h$1iAiFC4BT9~{WhBO3ajk^l&460umBYj_<%6wi%&VS$*dnUnDZbvLQMUR76@7qP|I4v z*$-wpDPBFPa(so;;cM~G4o>w&#LUn1r}t@q`)ZbR^Oywmd;P5L-D^;!mvcWV19`c- znORv23rWt1^#-b>p3vs!P||OD6rm2!KJ>koRlr->fww^ojR!{CIR+f|i!Y142VM>rZ*Vw3dz z-H5N|!O3anIm+H=PW4*X88Zn}(!z|h$xc`MlNiuw+*oyO)q*FxG+cHxu&)vOM`@!g zZ_GC+mEXxx*U{D%O_O^5^KEvj&yjJIYiiot+kuCifoMzG+i*r5?iOp4Ub-ja8wD#T zTzljQYd>OjeKwnQe#B)04fSOGSlbE`s5DzBdREy@TF7-4a%);bO zYxz=(wn(Neb$Q~PL8%pBV<-#$^U=Sz;T$!7jdjfeuGP=lbo}XTR@0qUdFgtvr_<8et;?^Rih_Zt^|L!L} zV*Rx#Wgo3PqT=YdHX8wz2cKl(^pZT^N)aaRjytPo>2Xr_TGM=SRlpHJG|Y%Kd()8C z*&g|WRSFqHISAxbJkT@ML#{*{#R=Cw$Ac>v@?o{E~&0 z1?j#OaZ^HvY3Jtt??b5H^Z5%Dq%WL$c z#6+}Ip>L{U(mD@k4Q+QGx=B145Z$uAX(?p!{!s$Wd)6e@S8q@Kx_ag8*1;@79!;dX z6>y^4(o2q$?6No^6GupKOL1H92VwH8zkvrT;8KK7O-+r8a4*2%>fO6{jOTJsiqtVZfBrm>0boD* zce7Q?j=G*9vrHJXc4+onSSdYb!;liqg_?FrWGLkz3Wz_hrSE4WD#| z=euu4`RR*9_bQhTlo$~ZCbPCZo`XtU<*>dw(XSmBKWWtC#4c_dua<2jV%{Gz!cEqs zHEL*k@(wpP1^;Q3!TA?&Utj0(inZM}fI^t5YL7hdEoBFX)gLcUq;+fPpVC5fu-Z=W zUmd)oF+rWr$gc~UsfLCIE?L=HaPCFZ%+u5J*|TZvKsK<5&)&D+LtK~MhK6nv2xu%2 ziiqgGQr!CV@+HofVlSqD0GAT?_um8ugJr4)-M)PrnDU9LY7!Jl21Zn+RMvwEJ3al( zHsPFprnQftm#=SYYwG|*v?k-_moaH+`1$#m=x9;Dy>&q&jtEZTMk^;3Ez7k)YB02> zrtU?CG*IUU+MmAH^H+{`?yNzp`oH>8o*cj&{r!%@6sJG_mv1^q|l{YRDAf(Nz+*`L&0iSJC+9zKZ+ReNW=ZV93V{w`D%+B+=#zjrrrXMv`31Df$#^0Z!Y5_qq zV0E78N|o0Hq0yBjLBnO@Jxo%nPz~fKib-IM7d?I07w9hp%bQFFwh22bEOCGA1zEbyaxPKf%^4dOCVD+wK9Kd zt>|_Nas?(;vX18Q?RLbPx=X_Z35G?XK1wLR!B7pbTYkBfkty>Q!uo73XApzn3B%>1 zU9tPXFNxT9uIDsq;WJ}>N0?f+4X^hX#2fKv6@A6(x-C@SF~;VUJYMz1ppZ~`c@yfs z^1RWshOTraQ7|` zX~?Ckld*9SJ$drvIkR&Qc0c&ZjOJ8FMd#i5RNP0+#bM=2V|Kc+sR@9?7tNekuU?(i zeMpf>&&bFWFS#!zC8hZ0Y+G9!5uBX>{Kc4DY$!Bf&m}Idn>{c(ItuVg@7brX4qtHh zORc)j5NtBF@_v#Z_&u&=NJnT1#mH5ODEClvNfYo6y(@Y1CVAd93!A4Nuu+KL8PW+! zN{mR1+WF+&C6GiB@VmhC?0v+Nzd5nDOT3Ov7?J zg}05BRS$Vi-C(?E|kzE6c~1J#n?-DK9xzxY$KP*pla)5Ul!I z*uyOXK|+6ibyeUnQdl;FbsOtm4T}H!ba}<94?W+~6A--c)sYQw^ihdUTkYY)kD7X< zHxjt9OnXg1(G7{(kk-D@zKqYo3|DcH#rW-$M$BvvLT_wEmHL{U@ga-xRE!|d3Pu&_UD8iEuk@cLzcKWS$ z?7lwR$-QokyG0euHZ(VR?LyKAurop}@6rvWK?0#77-q(J%;~3|sHq^<2`9J$F*FFq z3mNkuf8LiJLdS)ZYuEejh3iIElm=dxd1Vpm#8|qLrQ8A;fFlh-9Er-z)%g;vx)OIL z;TQuWqn;#*qV)92i&^Mb(LA-@rEmFsC%(HVQhy$@s|qyjd*m?DrD||GAAr*%8ZrA} zf!Ye)0>l0BPbvus3H^!>h-bTgZHtT!43yfV3x(_T@5fn!#t*PuF}uMfbdjm|U-rf1 z`U8wIRrR3zjauF6_ykvp%x#&$1$&Cx{sAEk!AXqxcyjC&FZoF|ElyYHv*9hQtneoE zm9c)J^A|ba-F(CH+?mO#8BtGDj8M)Kym-i<>^_WeYI;E0iXm>Qjl3wAbGjD zXMeuCkmkReP*jBftQdTgbm^1I12w^%%mKS{B;|1LMjb zFQ>q#a)1TF=n>ed^jX7kb@d)o1ThnoiFuBSpxbp!V-=44fqQ^9irl%g-2wg;D{Lwx zn4O&+r&@Mh?Oj-n_YMA+F$oDb0-xq+7Zw%EiZ~Ah6B0m-_6=eL%M)B&0-=4REn6 z2wGZN03hb;6M#~K07(JG+u|2PVTkq<;E}4Q zl)*DJG%~0~()@|I`SZ4P0!F^$1g5&mwTX&vo!{1&D@#}$^h2a(#YKxD3m?JGRJj`9 zApr5q6IEN_%N1H$TA+T{fRYU;Tx(0qqj8(^u`_SkBVw{#B)9<@&EaWYv;Nw-Y;dx{ z`s>+w6B>{KX-Km7Y)cqmd`{-(rLObs=eQrlvt(xal1j7p)T_74pJi6KzHohNl$RNo zt)R|6)pkKcm3QdXM$hQp7yxVufGU6?r^@+yel$O?adp7{vre8a;Dvyx8CE*M?%oXm z;F9qm>_G&F|MK7sDyrb<=;#P2`Frx~2bRzFa~Ma2U%XhKjtSPSmpfeJ6-)v&O#)H4 zv3GKI5h-Cx?IN@~LB{XKId_6`NPgg{TTzzQ!-t&8HP0JD6_5qzD^I}b1jg!rb&U%W zJvUnwp;nE`v+Z?gxD0N$J4S{*S1L3?u4QmK_w0cEz3hQ7HYrzd;?u5te?T1?79QT+ z-d+vpGRVfLsHotxmrDRWaitrZ0n{msMQrT5OGZ@Gz-Xy8z!sB?2ec9rm4N%0R=FxA zo-(2Sy|knsemmn^zbMY?Oa5Q6qHd{b*{Z6l{I$9)LER+pmWOGd8Pb2zob-F6u1rjA zqoU_<7|tIB2N=O6s< z{@PDJF!gL3dg1E`AUVmyM$VU`C2V@1f#zD_?QCmAoYD8MvZ2X_n<=kb)C+EyK2E6c zGYnxix)crPoPZ@-+?x4btn7H#4jafougP)IBxx6(2;w;^&7IV!Dx7}?Hk75xYOS}J z=p^P_J7uo3bQ2^7Ahys#QgQ8x%Ig5EU((Wu&&jo~h}G(aNsG1fH0J);t|tI0hdRK? z0IeN>JYw&6FsMazbabF~n}{<-fNG`5^;4PC-+j$6Vew9$X8SyIFQ8V!ruDK`o$*Y9 zhBl&!c0;*fLbo{A7A1@#m6YB4*i`d0{L#Soq>m-%^*2c+N(j;ZV3o~gNj^Tl8-iWd zHV@`KcmX;^ut{wK?XVtk=o7*uxQmHa&E2-6-F}s4prvd?vX3O0^ z(d_cV^&7m5nNoAp{D1ZKLz%`&~%E*2~xM75I5I3stRl`|NWOVuOie@zsSu+RSN zVS6-~6~Go#_vR+epFe*GZNNFR7X%*d)T!5R-*)6UnHFd`J*xUHbS*i#=egJSHwol~ z*x1;}$mJ_mFaZG6X#?D(HDY4LMMYIAj>0m3!?f|GI1{Z|9EcuY(Z)&gQU?Pz*AFriR8AC%@au&W#3-L%zo> z6*sva8@IW3sdMM$Z-3QX^ixF|J{qA+4xPt}+_Ow+ZF_NTJ^AH0hr>%6XfHmTzbc9m z9$Yue$HT)jF)@K{992ceL%W%&2}&r$D{TdO<)VArq#Dni5((2H)}g(dn;Ye7N>tLJ z)N>rsMiHljHA$3fsIV5jRTa?8@uY-)H%-5C{pHMQl^HhmkFiAqAx*x@g94Pcuw=Rt zkoG&FVVC``-sx06@pw;5DS#3rgb)G5W{Bw{BN^6*4&8Bk%YxaPO(j?KM81E7!?>co z<;2#%!G|m&jb$-_M7YERTiQl-^}}?-92C-P?iov2J@;I$8E|3KrcKP*DSojXw@6PO zCt1EZ=J2#rD@+7P+!t`h-#jMz{EfZO8f$|E_KmGkG5gVTkL>Zx!&t`n%Fhd9X|I%3 z?`VEqT`R6M+gJAt8>)~|L!;w`F;O7_fy6rdY>R$aDV#HPI31tAemzv^{o!TVy(hX) zLSDVvFHT$uhx1%lS^EvNp;-in#C04rzEXiqpUa`Gn++muU!71XnCeyCm zeYC6BGD_gScC}R3>huuD_w+DF=Vjn^E|KY_4M@oY`h~*-}jdGNOx_u+@A-q zk3F$Li>Hva@NWP7KYUzW2Viyz5vX}EEEv_C9~*<^ObLafkcULj&g0{!3o;WEk91W< zQ$qFQcKG=E-jU1K`4e<7=C>*1VsP-cm<)>?88W%!!-oR54#o-IG~TU4x>)cW?25)R z4cK}%T8)&g{I>l`GM*?Qu&Kn?(!e0oqf4JuJ`xunb0z!*REy$S;0%vFc8RlZlw7UT+5;4Z~;o-^MX!n zM208ck3Z^aYE;;*I@6c+jO?bWo3?g#Vtis{Pui0w^Cy41Nvprv-E~iakF+8~`a(!B zD`qyocb^NRvF<~bZAZ9PyX*1eD#JFCAp%Z4=>bubL9UgIsiv+QCGmok?18rDZGYu% z!P1fKrd*9uUh-|F!SYiUsw*ek4PQ);4}HCN@7|(R#`u>jqobaS45Kbw%K6mOL&Kg4 z9wctNhgOOIKwAOK^%#H$B}2ca>Gn#qX`m-yX(OX3OGVeVZEkMt`uciCz$8`#>a~wW zJ|2C|Ss>ovmAW37U7AmH#C$3}O9@qLKP|a_{dzSuH90vK%q(hv6%_x`x_!*O?>B&~ z>TAmAI5TfS4Z=|7{cX$q)gT}+WA76GI6pc%`k-RJuC9OYMdQ~+ssk!&Zh52iquK$| zR=fO+@vQ|uc6H5~pBKNtz`axu&L|m*O5Ai~QqNk+F3eKVx7$8i$7{IhhB*H?0mnw8 zMzbd!>>}dg+T4bR5+V*iN+Zg{N8*RNl)(ErIei}-9E_CQ*N)mF`Mp*C$$N+}(1l*T z^|zHBuFt##e}Q56db8Bslw*_Am-hek^IKsC-GTIV~*ud!hG0i^GCs9+Gv!pznzHRocd~ zXK%@^UPnwxsW_fhIF@9#kL(&RVHjMAm;XZY;vh4M=6m>w&yz2UX zP6W%Q@|nK#vA$Q{lGFk6ZEv#Nknb1Zs`EDdjonVI-cFm3+a1xk?RXUM7Xv$Uvh-re z*vi0lmfQzhA9xpQ>5d&dA@#Eu3|M`!A1zM5sU&C?Z1;K@8E`(+Z3P~{ibR_aMK^9o z4jL1vlPNN>iVc*{);6FWP-djQX8~t=v)kjYUnh_o2n~7jryAT_J-T%FD= z69)aHZ`_&LpFGxMEJG?651Oh=w^A<{#5Z7l-8jMR;ptgZRkea*W^O*+L!RZ~=T|jN ziLO4sc-eDLmIQr&e_tO4*vPcEX;|FvsdlZPBwX5YVLEfrh z_svOr-n6ec>BZfP+p(SuICZX{q7P>19^PI1rflHR8jY@-6YD&jW3rffF{<9G6A{C7 zYnzBBKiTHoJta+JwJ+RE-dJu5ZXT_an(q7*tz_E%eJH-(q}Olv;DlzYP=kBM27~L& zrWfM_U#VidkK5XLC{8Ao>Cb%lkq|Wf(=>v#Yjr@$H-|+w1;Q+^Tg!;Zz9~!BiW31_$RDfhOsjEyYD!mg ztWNTR%~11A+nMbSiQ`y?&Z9dAa>71~o)=m?nLU^V_smK6LG~vyyVd7Pu7b?*j12Sd zC)5@C*Qom3%8SSgiwpA$7%MfMZx^KGSIc&KWgQJbdo3QI8XRO19w%zkp{eOUc;KRA<2p5%gs_O4G$fn_pI{u@%hlASlxOf#ZWR+hYf@fxjoX+ z$*XpeO05{*nX1Pte(ZSM%`KZqIkj>Vjz6wxn7i5zmd*$CXkWE6crA_(CJjg}fSwM+ z%>798=>79o=CSJdki>NsX(p)+yd=;XI&?+aw#+pE923v|qjl(wDY!o_t`z_MaOj+= z1ckbH@7@q%O?!EGC=qWxoa=lkA|lV@>33CnY=JF&JkiU3nLyBwS4aFAas6Abp45ur z(+sYmw%|-o@{#)b`*DM^mm?w~(l5Mu+5WQaEQUwt(n7c)PS-##!9|RsS6_48AKPxJ z<3wr$^S^r*xwr(wi1!iKzx1lMrHy#r-v}lYqF=B8n$u2sd8rTsg_``TUU<%_Ob3<3 z=)VVw2PYs8681543JXZ6sWr7_mELayn6aMPr7o@Ru^6)~v%!@_*arXoX-8^*0CpS{ zSb^jh*UveH{=HX?-TauCjiCt%M4c<}0?U?|LL?4JMQKBqG*#LP}7pkt2BTH(++t1Sk*c zQjBCgE-t7hTA?$lQDHiUwX|g+n5r($EfPXdP*yhL-s;_F253yYH4ED_Dj;>~Lf1pj zZ>wX87)+e})k^xWt(5;>dH-k4JUX10UQ$vb@Pe3ZjN$nB_&3LI&V4R5V(9HniTag+ z{O7J3vEO73fKJ7N&lfzv<3_Lg&!-$H*HAI^x$Bat;-;pi#6X<_sBZ2w6I~o@vcTf+ zfx1Ry<_K71URG4_kl=G7@>3P0KXygOGmocAzXIYvHti;p^2m zg9u`R$jd8!rJKn)<=t&yW1g!_Lmm@^TH51~5`Tk-7P0_vxalGAXin z@N;lv3k@qEahNo>SgwSJ^DkYxigHy<{pP~eRR_(?%>4a};%Ye;bMs!K@CU=h4U)^`SUyKYs|t?^GQidt8d%3M0iW--${45 z*&gGh2FJIv)Ib0HvXU(=Bcs!z?dh2vNVvF4~h-5cVUYt@9(LN zm39*s5|WM)qMbSO+W|ejuq(t>U0bU{lg-=+Stb0+mBLeBFJPsgNe*M=&EvG6R=ip| z|MC6o>})j2>Qtjyk^@&|yfYbI)}qrx_XX}F&oi$r<+B}Hj0}6`vQ|f7lR`oZBfEVo>r zk!~p9^^c9Kv3E2zjiu$aUk(l3(rgSDCTMD0C{ahg)ja?v+dWdF1QHo_SP%pYFif_Y z0T8C>C6f_BQ(#-B;mxJc9u0ZAi6qa%x4-F{Zb#H7^4a>)=_- zLT?wS93WRHwRcpkEG;c^ows{_dxuJCwNE|$Lt2^iN^x=2YW7qr)z8llLLg zLLf;TH2ve`$;_fMSffffy{RB1QRBU9Y|Mp$3_hh;(6toGxuROQz4+Kkct~ao-g96B zl8vD@a9LNaYkScnasU1MLyH{YTRomuB>^tSsNGIOqx|fG#h~Z=z7W?6Vd4CMN$>Oh zJ#XSRyNQd69{w_K{%ToNJ$Qbw+;UTTp@x^|E=8K)u#fr`C4Gk(d38ba@w4{i*IGe>XKXw`u>wdtd zQOgt6-0%s=2KBRh;8@8puDW?9@qg@ zRaJLwL}=&3A)*MjS00w}^P7Yg(mQK4z3u=GH>EzzKa78$(Z88J0Wr{hB1!wkD7iD& zrM0)@z^no~Zc zs<{z{b(yKo8&m|~lAkx?;`%>*$^_E}bs%orDGK9hRAgipOsOw|#=cZsp$)VR4G;Um zVZ4Zc4K$X7yLXH1>m(dp3=9km4VhrW-!qx*K0RWO2CxdA_rPYpB;(^U;&*uISOiY? z=iyHQ-Y3C*BAaN3;7%@uhpRGfNNnG+gE3sSnK?{&ga<$Gbs##6a3&XX_!?<%Qiyb_ zjwG50=veI_YHcTmyWFL1D=x3%j4VgyO57GQ+0G{Q?gGEEQ*$m=mi?xQ1KRfBd9R^iGMy{M0@B!q>27$sF3pYP~`M ziS_F>wv76!2)W4fDn~tnp&E{RY zG@6&?R~<51?1j{ybefkWlZqp*MB3bgSj-I$WuT8{Q_Z=Lf-EIi!fk<5`DK9s6@>e- zBs(k12Z(`eqU-pI5@JAla-5uHa_Kd-?33g+;m0wf36-Tr%KYu@8(A3br zz(7V$ju*Dbr0Y{tQ`k&kwnTiP>m?lxYD`4Xm7RB)eI`L^Gf`obP>92?s$so;k%EL= z-QV%CkQRhULg0sna!+ed&|*t zfdOH{Tfe|99aA5+4d$Lr`xcrd0i9QyTAp1J(x$F9WL{QDgJ%)2GB)=DL;@aQVquWPh8TE}5l4tx+t_(hvzd0nr7+w~Df# zN`^%SY7f)GXUWJ))8nU>=&u5!ZkG^X;&?v8vcRw#hE%Q;-z7VYIAb|!HYL_U_0hXI z?Hlg1mqxAiICAf);w|~D=$lq%%lQAEG^nIFny?d2u&c8lpU$vA1;INSh>`;Q9g%WH z0mU2;gHT7W$=mH3T7FwXNoi!FC&4D$KC=ECHcG;7iucE=IGGgm1z~exQUJ!V<;_fu zP+42R%OV-jjk^Lrg>0^aNqr6uX}ue3>~Qh9hkN3Y7LX0j%ggis@f8Ml`GJQYP%fWW zvo3J2_;kQz?cUA2R(m!wVI$rwR|I`aYoIBh`?g(DE!e6K-|uM&kQm`*+3nu>3ig9h zbRWI;D}*-$vlV|NuL~fJaV=xFOLHb^`*s2@!JdC<#?1cE!bOX!-tzGC@I+Q_S-fab zW2!0DBJj&&**9I)F+Xfp3ktpx%J&Zl(Ay~iG$*rv00(Li7|Zga3pAcZZb@_dw1E`P z%Hq3c_~?$Ri!Y(k!aNo{^BB?xXypUT<_!%Fp8gynG};7bwi8qd^w?ap?(XVJGs~h_ zCMY@)KFFj>Z%epSf_5Jum1CW=KNd>&KStXne3WpfT{nSkB3Un1l^MW>2eBQ8 zN1^K{$r$PHc#8{*OqXDdk@ORG%gF(?9SG!H61bnARjxTu&K<3z0#lU3%}N3mNL<}{ z!Tgp%bcK0=dl!&m=M}$>fU&rpx-A_YCCYvR^xb>#sE-rT(lAWe;BdcPF;Ksc9zDu* z2PF;?I%QUi(>_{!;53iHH-=BRxz`DV~!Pw%ejX!<*w2s_Q&zHU@NIS!IWFeKb z@W}61$BK#a%fT2Q56ww-)yv9Cs1;f=dC#5|22AD}VY`<{usmRgNuyqizBHtzOeWiq zAF(?->z|k_O^c>s2at1)zoA<^Kdl< zeZ_kMMT*OmZox`}0}trp=QA?gfYZ!rha0uB6BA48>JG}g!K@^m;Ey%Edv?lWda&Nn z>$49pfQ}Tqh{kSrFSvNIlGtD>UD@dwB?sIWLTme$MY z&8ED(yh$<8E?OZUex_k3qRv)Dl()93D=TNiaYLVak8VD60MU}V0R5~O{@Y=_@MW>t zK_~%`gme_JrKHZvex4j-gLST6M)Ic7I-U_KuN5BF1f?CrUMe`>z3Z~);YsM(?FoiDKDQL+Lva8PrSZieEihQ2yvVIlT}fh=(oj2 zUh{*aE&T$T9>mgHoW|yRJ1WZa>&vAM<`3%pvEL!PZJv_nw4YkG&{qIQRwUIqwL)aknt4z6!sb^DJd8d ze9+k9=SP$|Y{q2zj8{C9{gX%5hSAp0-~}-e*7mh)*D`~na&vQu&Hx}ntYuLlA#`*L z2@7unkB$<|Nm-;I>+PF2H{;c&UNormal*) (* Beginning of Notebook Content *) @@ -69435,8 +69435,7 @@ Cell[BoxData[ "\[IndentingNewLine]", "]"}], ",", RowBox[{"Style", "[", RowBox[{"\"\\"", ",", "Bold", ",", - RowBox[{"FontColor", "->", - RowBox[{"Darker", "[", "Green", "]"}]}]}], "]"}], ",", + RowBox[{"FontColor", "->", "Gray"}]}], "]"}], ",", RowBox[{"{", RowBox[{ RowBox[{"If", "[", @@ -69444,14 +69443,11 @@ Cell[BoxData[ RowBox[{"m", ">", RowBox[{"1", "/", "2"}]}], ",", RowBox[{ - RowBox[{"1", "/", "2"}], "+", - RowBox[{"augmentation", "/", "2"}]}], ",", - RowBox[{"m", "+", - RowBox[{"augmentation", "/", "2"}]}]}], "]"}], ",", - "1.2"}], "}"}], ",", + RowBox[{"1", "/", "2"}], "+", "augmentation"}], ",", + RowBox[{"m", "+", "augmentation"}]}], "]"}], ",", "1.2"}], + "}"}], ",", RowBox[{"CalloutStyle", "->", - RowBox[{"{", - RowBox[{"Darker", "[", "Green", "]"}], "}"}]}], ",", + RowBox[{"{", "Gray", "}"}]}], ",", RowBox[{"Background", "->", "Transparent"}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"If", "[", @@ -69489,13 +69485,13 @@ Cell[BoxData[ RowBox[{"If", "[", RowBox[{ RowBox[{"m", ">", - RowBox[{"1", "/", "2"}]}], ",", "0.4", ",", "0"}], "]"}], + RowBox[{"1", "/", "2"}]}], ",", "0.45", ",", "0"}], "]"}], ",", RowBox[{"If", "[", RowBox[{ RowBox[{"m", ">", - RowBox[{"1", "/", "2"}]}], ",", "1", ",", "0.6"}], "]"}]}], - "}"}], ",", + RowBox[{"1", "/", "2"}]}], ",", "1", ",", "0.55"}], "]"}]}], + "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", "1"}], "}"}]}], "}"}]}], ",", @@ -69508,9 +69504,7 @@ Cell[BoxData[ RowBox[{"1", "->", "1"}], ",", RowBox[{"2", "->", RowBox[{"-", "0.8"}]}]}], "}"}]}], ",", "\[IndentingNewLine]", - RowBox[{"FillingStyle", "->", - RowBox[{"Lighter", "[", - RowBox[{"Green", ",", "0.8"}], "]"}]}], ",", + RowBox[{"FillingStyle", "->", "LightGray"}], ",", "\[IndentingNewLine]", RowBox[{"Axes", "->", RowBox[{"{", @@ -69534,8 +69528,10 @@ Cell[BoxData[ RowBox[{"{", RowBox[{"0", ",", "0"}], "}"}], ",", RowBox[{"{", - RowBox[{"0", ",", "25"}], "}"}]}], "}"}]}]}], - "\[IndentingNewLine]", "]"}], ",", + RowBox[{"0", ",", "30"}], "}"}]}], "}"}]}], ",", + "\[IndentingNewLine]", + RowBox[{"AspectRatio", "->", + RowBox[{"2", "/", "3"}]}]}], "\[IndentingNewLine]", "]"}], ",", RowBox[{"If", "[", RowBox[{ RowBox[{"m", ">", @@ -69596,9 +69592,13 @@ Cell[BoxData[ 3.888329093730502*^9}, {3.888329133680624*^9, 3.8883291787300034`*^9}, { 3.8883292768353577`*^9, 3.8883292956087933`*^9}, {3.888329383836307*^9, 3.888329403233198*^9}, {3.8883294733074503`*^9, 3.888329593899989*^9}, { - 3.888329675297358*^9, 3.8883297263396606`*^9}}, + 3.888329675297358*^9, 3.8883297263396606`*^9}, {3.8883299725962343`*^9, + 3.888329990706852*^9}, {3.888330121733877*^9, 3.8883301241040792`*^9}, { + 3.888330158334695*^9, 3.888330168059545*^9}, {3.888382167278541*^9, + 3.888382172233184*^9}, {3.888382205243783*^9, 3.888382230254488*^9}, { + 3.8883863835753317`*^9, 3.888386387116171*^9}}, CellLabel-> - "In[1334]:=",ExpressionUUID->"d4e8cbf0-82ca-4cca-85c2-900fc8e77611"], + "In[1360]:=",ExpressionUUID->"d4e8cbf0-82ca-4cca-85c2-900fc8e77611"], Cell[BoxData[ TagBox[ @@ -69608,7 +69608,7 @@ Cell[BoxData[ Typeset`bookmarkMode$$ = "Menu", Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = "\"untitled\"", Typeset`specs$$ = {{ Hold[$CellContext`x$$], 0, 1}, { - Hold[$CellContext`y$$], 0, 1}}, Typeset`size$$ = {360., {143.2, 127.}}, + Hold[$CellContext`y$$], 0, 1}}, Typeset`size$$ = {360., {155.2, 137.}}, Typeset`update$$ = 0, Typeset`initDone$$, Typeset`skipInitDone$$ = True}, DynamicBox[Manipulate`ManipulateBoxes[ @@ -69653,13 +69653,12 @@ $CellContext`m + $CellContext`augmentation + $CellContext`eps], 1, Nothing], 1/2 + $CellContext`augmentation - $CellContext`eps, \ $CellContext`x$$ <= 1/2 + $CellContext`augmentation + $CellContext`eps], 1, Nothing]], - Style["augmented bit", Bold, FontColor -> Darker[Green]], { + Style["augmented bit", Bold, FontColor -> Gray], { If[$CellContext`m > 1/2, - 1/2 + $CellContext`augmentation/ - 2, $CellContext`m + $CellContext`augmentation/2], 1.2}, - CalloutStyle -> { - Darker[Green]}, Background -> Transparent], + 1/2 + $CellContext`augmentation, $CellContext`m + \ +$CellContext`augmentation], 1.2}, CalloutStyle -> {Gray}, Background -> + Transparent], If[$CellContext`m <= 1/2, If[ @@ -69670,21 +69669,21 @@ $CellContext`m + $CellContext`augmentation], 1, Nothing], And[$CellContext`x$$ > 1/2, $CellContext`x$$ < 1/2 + $CellContext`augmentation], 1, Nothing]]}, {$CellContext`x$$, 0, 1}, PlotRange -> {{ - If[$CellContext`m > 1/2, 0.4, 0], - If[$CellContext`m > 1/2, 1, 0.6]}, {-1, 1}}, PlotStyle -> + If[$CellContext`m > 1/2, 0.45, 0], + If[$CellContext`m > 1/2, 1, 0.55]}, {-1, 1}}, PlotStyle -> Transparent, Filling -> {1 -> 1, 2 -> -0.8}, FillingStyle -> - Lighter[Green, 0.8], Axes -> {True, False}, Ticks -> {True, False}, - Epilog -> { + LightGray, Axes -> {True, False}, Ticks -> {True, False}, Epilog -> { Directive[Black], $CellContext`representativeLine, Directive[ Gray, Dashed], $CellContext`thresholdLine, \ -$CellContext`marginLine}, ImagePadding -> {{0, 0}, {0, 25}}], +$CellContext`marginLine}, ImagePadding -> {{0, 0}, {0, 30}}, AspectRatio -> + 2/3], If[$CellContext`m > 1/2, Style["high margin", FontFamily -> "Helvetica"], Style["low margin", FontFamily -> "Helvetica"]], Bottom]], "Specifications" :> {{$CellContext`x$$, 0, 1}, {$CellContext`y$$, 0, 1}}, "Options" :> {}, "DefaultOptions" :> {}], - ImageSizeCache->{406., {211.6875, 217.3125}}, + ImageSizeCache->{406., {222.6875, 228.3125}}, SingleEvaluation->True], Deinitialization:>None, DynamicModuleValues:>{}, @@ -69696,9 +69695,12 @@ $CellContext`marginLine}, ImagePadding -> {{0, 0}, {0, 25}}], StripOnInput->False], Manipulate`InterpretManipulate[1]]], "Output", CellChangeTimes->{{3.8883295197737513`*^9, 3.888329594516479*^9}, - 3.88832967914233*^9, {3.888329710001832*^9, 3.888329743391673*^9}}, + 3.88832967914233*^9, {3.888329710001832*^9, 3.888329743391673*^9}, { + 3.888329991390216*^9, 3.888329995874424*^9}, {3.888330124808268*^9, + 3.888330175454083*^9}, 3.888382173311351*^9, {3.888382207087984*^9, + 3.888382242118208*^9}, {3.888386388138898*^9, 3.888386397930328*^9}}, CellLabel-> - "Out[1334]=",ExpressionUUID->"d6c95457-568c-4d4d-861a-ed592bb12954"] + "Out[1360]=",ExpressionUUID->"266f0e7b-d104-4289-bb71-d953e1a1377a"] }, Open ]], Cell[BoxData[ @@ -69719,11 +69721,11 @@ Cell[BoxData[ JTh/yavdp/j6LsP5fLLL3z95cgXO78ncmrZA5Rqc/81h9ZOM+utwPgMaYDzk 5dT75ixc3ull0wY2J4T9jqEblrJcQpi3def2M/aKN+D8OQ9Cawp8EfrDajdG hFxA2Je22J5jVfc5NP0noPwH9i/zoyUf/T0Dl39yfVfbVk+E+X6BAff/zTmL -pn8HlH8Bqn8P3LwzHjtXVpki9Huc7rz5XuIQlH/D3mnFDa+VqujmrYDyD9hX -S7vGC/kh9E/pibn04y3CfSF52yY3JCPk/26a4d8ageBfUvzj8+HzGZzy6Obb -PM+77h2Mad+smSDwcj9MPYwPMw/Gh7kHxgcApdHWxQ== +pn8HlH8Bqn8P3LwzHjtXVpki9Huc7rz5XuIQlH/D3mnFDa+VqujmrYDyD9jX +SbvGC/kh9E/pibn04y3CfSF52yY3JCPkGTbP8G+NQPAvKf7x+fD5DE55dPPt +n+dd9w7GtG/WTBB4uR+mHsaHmQfjw9wD4wMAjx/T3Q== "], {{{}, {}, {}, - {RGBColor[0.8, 1., 0.8], EdgeForm[None], + {GrayLevel[0.85], EdgeForm[None], GraphicsGroupBox[{PolygonBox[{{29, 36, 37, 28}}], PolygonBox[{{27, 34, 35, 26, 18, 22, 12, 14, 7, 11, 6, 5, 4, 3, 2, 10, 1, 15, 9, 19, 13, 24, 17, @@ -69732,52 +69734,48 @@ PM+77h2Mad+smSDwcj9MPYwPMw/Gh7kHxgcApdHWxQ== {Opacity[0], LineBox[{27, 30, 17, 24, 13, 19, 9, 15, 1, 10, 2, 3, 4, 5, 6, 11, 7, 14, 12, 22, 18, 26}], LineBox[{29, 28}]}, - Annotation[#, "Charting`Private`Tag$8124299#2"]& ], - {RGBColor[0.8, 1., 0.8], LineBox[{32, 33, 31}]}}}], {{}, - GraphicsGroupBox[{ + Annotation[#, "Charting`Private`Tag$8188800#2"]& ], + {GrayLevel[0.85], LineBox[{32, 33, 31}]}}}], {{}, GraphicsGroupBox[{ {Opacity[0], CapForm["Butt"], JoinForm["Round"], BSplineCurveBox[{ - Offset[{6.178901352847948*^-15, 3.}, {0.3035419999999998, 1.}], - Offset[{0, 0}, {0.30354199999999987`, 1.2}], - Offset[{0, 5}, {0.30354199999999987`, 1.2}], - Offset[{0, 10}, {0.30354199999999987`, 1.2}], - Offset[{0, 10}, {0.30354199999999987`, 1.2}]}]}, - {RGBColor[0, - NCache[ - Rational[2, 3], 0.6666666666666666], 0], AbsoluteThickness[1.25], + Offset[{0.0010158642378753182`, 2.9999998280033036`}, { + 0.38107313561497347`, 1.}], + Offset[{0, 0}, {0.38108400000000003`, 1.2}], + Offset[{0, 5}, {0.38108400000000003`, 1.2}], + Offset[{0, 10}, {0.38108400000000003`, 1.2}], + Offset[{0, 10}, {0.38108400000000003`, 1.2}]}]}, + {GrayLevel[0.5], AbsoluteThickness[1.25], BSplineCurveBox[{ - Offset[{6.178901352847948*^-15, 3.}, {0.3035419999999998, 1.}], - Offset[{0, 0}, {0.30354199999999987`, 1.2}], - Offset[{0, 5}, {0.30354199999999987`, 1.2}], - Offset[{0, 10}, {0.30354199999999987`, 1.2}], - Offset[{0, 10}, {0.30354199999999987`, 1.2}]}]}, + Offset[{0.0010158642378753182`, 2.9999998280033036`}, { + 0.38107313561497347`, 1.}], + Offset[{0, 0}, {0.38108400000000003`, 1.2}], + Offset[{0, 5}, {0.38108400000000003`, 1.2}], + Offset[{0, 10}, {0.38108400000000003`, 1.2}], + Offset[{0, 10}, {0.38108400000000003`, 1.2}]}]}, {EdgeForm[None], FaceForm[Opacity[0]], PolygonBox[{ - Offset[{36., 28.000000000000007`}, {0.30354199999999987`, 1.2}], - Offset[{36., 10.000000000000007`}, {0.30354199999999987`, 1.2}], - Offset[{-36., 9.999999999999993}, {0.30354199999999987`, 1.2}], - Offset[{-36., 27.999999999999993`}, {0.30354199999999987`, 1.2}]}]}, - {RGBColor[0, - NCache[ - Rational[2, 3], 0.6666666666666666], 0], AbsoluteThickness[1.25], - EdgeForm[None]}, {}, InsetBox[ + Offset[{36., 28.000000000000007`}, {0.38108400000000003`, 1.2}], + Offset[{36., 10.000000000000007`}, {0.38108400000000003`, 1.2}], + Offset[{-36., 9.999999999999993}, {0.38108400000000003`, 1.2}], + Offset[{-36., 27.999999999999993`}, {0.38108400000000003`, 1.2}]}]}, + {GrayLevel[0.5], AbsoluteThickness[1.25], EdgeForm[None]}, {}, InsetBox[ StyleBox[ RotationBox[ StyleBox["\<\"augmented bit\"\>", StripOnInput->False, FontWeight->Bold, - FontColor->RGBColor[0, - Rational[2, 3], 0]], + FontColor->GrayLevel[0.5]], BoxRotation->0.], StripOnInput->False, LineOpacity->1, FrontFaceOpacity->1, BackFaceOpacity->1, Opacity->1, - FontOpacity->1], Offset[{0., 19.}, {0.30354199999999987, 1.2}], + FontOpacity->1], Offset[{0., 19.}, {0.38108400000000003, 1.2}], NCache[ImageScaled[{Rational[1, 2], Rational[1, 2]}], ImageScaled[{0.5, 0.5}]]]}]}}, - AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], + AspectRatio->NCache[ + Rational[2, 3], 0.6666666666666666], Axes->{True, False}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, @@ -69785,13 +69783,12 @@ PM+77h2Mad+smSDwcj9MPYwPMw/Gh7kHxgcApdHWxQ== Epilog->{ Directive[ GrayLevel[0]], { - LineBox[{{0.2259999999999998, -0.8}, {0.2259999999999998, 1}}], + LineBox[{{0.226, -0.8}, {0.226, 1}}], InsetBox[ FormBox[ StyleBox[ "\"representative bit\"", Bold, FontFamily -> "Helvetica", - StripOnInput -> False], TraditionalForm], { - 0.2259999999999998, -0.9}]}, + StripOnInput -> False], TraditionalForm], {0.226, -0.9}]}, Directive[ GrayLevel[0.5], Dashing[{Small, Small}]], @@ -69800,20 +69797,20 @@ PM+77h2Mad+smSDwcj9MPYwPMw/Gh7kHxgcApdHWxQ== Rational[1, 2], -1}, { Rational[1, 2], 1}}, {{0.5, -1}, {0.5, 1}}]], { LineBox[ - NCache[{{0.2259999999999998, 0.2}, { - Rational[1, 2], 0.2}}, {{0.2259999999999998, 0.2}, {0.5, 0.2}}]], + NCache[{{0.226, 0.2}, { + Rational[1, 2], 0.2}}, {{0.226, 0.2}, {0.5, 0.2}}]], InsetBox[ FormBox[ StyleBox[ "\"margin\"", Bold, FontFamily -> "Helvetica", StripOnInput -> False], - TraditionalForm], {0.3629999999999999, 0.3}]}}, + TraditionalForm], {0.363, 0.3}]}}, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], - ImagePadding->{{0, 0}, {0, 25}}, + ImagePadding->{{0, 0}, {0, 30}}, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { @@ -69833,18 +69830,21 @@ PM+77h2Mad+smSDwcj9MPYwPMw/Gh7kHxgcApdHWxQ== Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}, "AxesInFront" -> True}, - PlotRange->{{0., 0.6}, {-1., 1.}}, + PlotRange->{{0., 0.55}, {-1., 1.}}, PlotRangeClipping->False, PlotRangePadding->{{0, Scaled[0.02]}, {0, - Scaled[0.08090169943749476]}}, + Scaled[0.07500000000000001]}}, Ticks->{Automatic, {}}]}]], "Input", CellChangeTimes->{{3.888327126611292*^9, 3.8883271278721*^9}, { 3.888327237462963*^9, 3.8883272389855824`*^9}, {3.888327429451133*^9, 3.8883274306798553`*^9}, {3.88832884041924*^9, 3.888328845701282*^9}, { - 3.888329752553173*^9, 3.88832976010358*^9}}, + 3.888329752553173*^9, 3.88832976010358*^9}, {3.8883300319900703`*^9, + 3.888330033152215*^9}, {3.888330149316567*^9, 3.888330150178632*^9}, { + 3.8883301904233723`*^9, 3.888330191281201*^9}, {3.888382253792182*^9, + 3.8883822549650497`*^9}, {3.888386412445698*^9, 3.888386413358666*^9}}, CellLabel-> - "In[1335]:=",ExpressionUUID->"c5e34d5e-dc1f-4beb-a7be-79a7de270445"], + "In[1361]:=",ExpressionUUID->"c5e34d5e-dc1f-4beb-a7be-79a7de270445"], Cell[BoxData[ GraphicsBox[{GraphicsComplexBox[CompressedData[" @@ -69852,11 +69852,11 @@ Cell[BoxData[ JTh/yavdp/j6LsP5fLLL3z95cgXO78ncmrZA5Rqc/81h9ZOM+utwPgMaYDzk 5dT75ixc3ull0wY2J4T9jqEblrJcQpi3def2M/aKN+D8OQ9Cawp8EfrDajdG hFxA2Je22J5jVfc5NP0noPwH9i/zoyUf/T0Dl39yfVfbVk+E+X6BAff/zTmL -pn8HlH8Bqn8P3LwzHjtXVpki9Huc7rz5XuIQlH/D3mnFDa+VqujmrYDyD9hX -S7vGC/kh9E/pibn04y3CfSF52yY3JCPk/26a4d8ageBfUvzj8+HzGZzy6Obb -PM+77h2Mad+smSDwcj9MPYwPMw/Gh7kHxgcApdHWxQ== +pn8HlH8Bqn8P3LwzHjtXVpki9Huc7rz5XuIQlH/D3mnFDa+VqujmrYDyD9jX +SbvGC/kh9E/pibn04y3CfSF52yY3JCPkGTbP8G+NQPAvKf7x+fD5DE55dPPt +n+dd9w7GtG/WTBB4uR+mHsaHmQfjw9wD4wMAjx/T3Q== "], {{{}, {}, {}, - {RGBColor[0.8, 1., 0.8], EdgeForm[None], + {GrayLevel[0.85], EdgeForm[None], GraphicsGroupBox[{PolygonBox[{{29, 36, 37, 28}}], PolygonBox[{{27, 34, 35, 26, 18, 22, 12, 14, 7, 11, 6, 5, 4, 3, 2, 10, 1, 15, 9, 19, 13, 24, 17, @@ -69865,53 +69865,50 @@ PM+77h2Mad+smSDwcj9MPYwPMw/Gh7kHxgcApdHWxQ== {Opacity[0], LineBox[{27, 30, 17, 24, 13, 19, 9, 15, 1, 10, 2, 3, 4, 5, 6, 11, 7, 14, 12, 22, 18, 26}], LineBox[{29, 28}]}, - Annotation[#, "Charting`Private`Tag$8124299#2"]& ], - {RGBColor[0.8, 1., 0.8], LineBox[{32, 33, 31}]}}}], {{}, - GraphicsGroupBox[{ + Annotation[#, "Charting`Private`Tag$8188800#2"]& ], + {GrayLevel[0.85], LineBox[{32, 33, 31}]}}}], {{}, GraphicsGroupBox[{ {Opacity[0], CapForm["Butt"], JoinForm["Round"], BSplineCurveBox[{ - Offset[{6.178901352847948*^-15, 3.}, {0.3035419999999998, 1.}], - Offset[{0, 0}, {0.30354199999999987`, 1.2}], - Offset[{0, 5}, {0.30354199999999987`, 1.2}], - Offset[{0, 10}, {0.30354199999999987`, 1.2}], - Offset[{0, 10}, {0.30354199999999987`, 1.2}]}]}, - {RGBColor[0, - NCache[ - Rational[2, 3], 0.6666666666666666], 0], AbsoluteThickness[1.25], + Offset[{0.0010158642378753182`, 2.9999998280033036`}, { + 0.38107313561497347`, 1.}], + Offset[{0, 0}, {0.38108400000000003`, 1.2}], + Offset[{0, 5}, {0.38108400000000003`, 1.2}], + Offset[{0, 10}, {0.38108400000000003`, 1.2}], + Offset[{0, 10}, {0.38108400000000003`, 1.2}]}]}, + {GrayLevel[0.5], AbsoluteThickness[1.25], BSplineCurveBox[{ - Offset[{6.178901352847948*^-15, 3.}, {0.3035419999999998, 1.}], - Offset[{0, 0}, {0.30354199999999987`, 1.2}], - Offset[{0, 5}, {0.30354199999999987`, 1.2}], - Offset[{0, 10}, {0.30354199999999987`, 1.2}], - Offset[{0, 10}, {0.30354199999999987`, 1.2}]}]}, + Offset[{0.0010158642378753182`, 2.9999998280033036`}, { + 0.38107313561497347`, 1.}], + Offset[{0, 0}, {0.38108400000000003`, 1.2}], + Offset[{0, 5}, {0.38108400000000003`, 1.2}], + Offset[{0, 10}, {0.38108400000000003`, 1.2}], + Offset[{0, 10}, {0.38108400000000003`, 1.2}]}]}, {EdgeForm[None], FaceForm[Opacity[0]], PolygonBox[{ - Offset[{36., 28.000000000000007`}, {0.30354199999999987`, 1.2}], - Offset[{36., 10.000000000000007`}, {0.30354199999999987`, 1.2}], - Offset[{-36., 9.999999999999993}, {0.30354199999999987`, 1.2}], - Offset[{-36., 27.999999999999993`}, {0.30354199999999987`, + Offset[{36., 28.000000000000007`}, {0.38108400000000003`, 1.2}], + Offset[{36., 10.000000000000007`}, {0.38108400000000003`, 1.2}], + Offset[{-36., 9.999999999999993}, {0.38108400000000003`, 1.2}], + Offset[{-36., 27.999999999999993`}, {0.38108400000000003`, 1.2}]}]}, - {RGBColor[0, - NCache[ - Rational[2, 3], 0.6666666666666666], 0], AbsoluteThickness[1.25], - EdgeForm[None]}, {}, InsetBox[ + {GrayLevel[0.5], AbsoluteThickness[1.25], EdgeForm[None]}, {}, + InsetBox[ StyleBox[ RotationBox[ StyleBox["\<\"augmented bit\"\>", StripOnInput->False, FontWeight->Bold, - FontColor->RGBColor[0, - Rational[2, 3], 0]], + FontColor->GrayLevel[0.5]], BoxRotation->0.], StripOnInput->False, LineOpacity->1, FrontFaceOpacity->1, BackFaceOpacity->1, Opacity->1, - FontOpacity->1], Offset[{0., 19.}, {0.30354199999999987, 1.2}], + FontOpacity->1], Offset[{0., 19.}, {0.38108400000000003, 1.2}], NCache[ImageScaled[{Rational[1, 2], Rational[1, 2]}], ImageScaled[{0.5, 0.5}]]]}]}}, - AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], + AspectRatio->NCache[ + Rational[2, 3], 0.6666666666666666], Axes->{True, False}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, @@ -69919,14 +69916,13 @@ PM+77h2Mad+smSDwcj9MPYwPMw/Gh7kHxgcApdHWxQ== Epilog->{ Directive[ GrayLevel[0]], { - LineBox[{{0.2259999999999998, -0.8}, {0.2259999999999998, 1}}], + LineBox[{{0.226, -0.8}, {0.226, 1}}], InsetBox[ BoxData[ FormBox[ StyleBox[ "\"representative bit\"", Bold, FontFamily -> "Helvetica", - StripOnInput -> False], TraditionalForm]], { - 0.2259999999999998, -0.9}]}, + StripOnInput -> False], TraditionalForm]], {0.226, -0.9}]}, Directive[ GrayLevel[0.5], Dashing[{Small, Small}]], @@ -69935,21 +69931,21 @@ PM+77h2Mad+smSDwcj9MPYwPMw/Gh7kHxgcApdHWxQ== Rational[1, 2], -1}, { Rational[1, 2], 1}}, {{0.5, -1}, {0.5, 1}}]], { LineBox[ - NCache[{{0.2259999999999998, 0.2}, { - Rational[1, 2], 0.2}}, {{0.2259999999999998, 0.2}, {0.5, 0.2}}]], + NCache[{{0.226, 0.2}, { + Rational[1, 2], 0.2}}, {{0.226, 0.2}, {0.5, 0.2}}]], InsetBox[ BoxData[ FormBox[ StyleBox[ "\"margin\"", Bold, FontFamily -> "Helvetica", StripOnInput -> False], - TraditionalForm]], {0.3629999999999999, 0.3}]}}, + TraditionalForm]], {0.363, 0.3}]}}, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], - ImagePadding->{{0, 0}, {0, 25}}, + ImagePadding->{{0, 0}, {0, 30}}, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { @@ -69969,16 +69965,18 @@ PM+77h2Mad+smSDwcj9MPYwPMw/Gh7kHxgcApdHWxQ== Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}, "AxesInFront" -> True}, - PlotRange->{{0., 0.6}, {-1., 1.}}, + PlotRange->{{0., 0.55}, {-1., 1.}}, PlotRangeClipping->False, PlotRangePadding->{{0, Scaled[0.02]}, {0, - Scaled[0.08090169943749476]}}, + Scaled[0.07500000000000001]}}, Ticks->{Automatic, {}}]], "Output", CellChangeTimes->{3.888327129410108*^9, 3.888327239912986*^9, - 3.88832743144237*^9, 3.888328846784771*^9, 3.888329760999056*^9}, + 3.88832743144237*^9, 3.888328846784771*^9, 3.888329760999056*^9, + 3.8883300342151423`*^9, 3.8883301507205772`*^9, 3.888330191817726*^9, + 3.888382255628743*^9, 3.8883864139576073`*^9}, CellLabel-> - "Out[1335]=",ExpressionUUID->"b6e770cb-2a3c-45a6-a626-400602590fa0"] + "Out[1361]=",ExpressionUUID->"2546bc19-a586-4c19-905f-8faffb1f0efa"] }, Open ]], Cell[BoxData[ @@ -70007,7 +70005,7 @@ Ty+g7l8Bd2/CB2EmeWaEeTfk3tfP40D43yxsW6YoL0L+VZh2xkKk+NbK0GRY w45Qf63zz+w5rAj5P+xpa9/+RfgPPXzR5e++rcrsYkDIw9LXrJkg8HI/TD2M DzMPxoe5H8YHAPP7Kw8= "], {{{}, {}, {}, - {RGBColor[0.8, 1., 0.8], EdgeForm[None], + {GrayLevel[0.85], EdgeForm[None], GraphicsGroupBox[{PolygonBox[{{29, 56, 57, 45, 48}}], PolygonBox[{{16, 54, 55, 50, 36, 21, 25, 14, 18, 13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 17, 1, 30, 22, 39, 26, 46, 33, 49, 44, @@ -70017,53 +70015,47 @@ DzMPxoe5H8YHAPP7Kw8= LineBox[{16, 47, 44, 49, 33, 46, 26, 39, 22, 30, 1, 17, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 18, 14, 25, 21, 36, 50}], LineBox[{29, 48, 45}]}, - Annotation[#, "Charting`Private`Tag$8125932#2"]& ], - {RGBColor[0.8, 1., 0.8], LineBox[{52, 53, 51}]}}}], {{}, - GraphicsGroupBox[{ + Annotation[#, "Charting`Private`Tag$8190099#2"]& ], + {GrayLevel[0.85], LineBox[{52, 53, 51}]}}}], {{}, GraphicsGroupBox[{ {Opacity[0], CapForm["Butt"], JoinForm["Round"], BSplineCurveBox[{ - Offset[{1.8369701987210297`*^-16, 3.}, {0.6411580000000001, 1.}], - Offset[{0, 0}, {0.641158, 1.2}], Offset[{0, 5}, {0.641158, 1.2}], - Offset[{0, 10}, {0.641158, 1.2}], - Offset[{0, 10}, {0.641158, 1.2}]}]}, - {RGBColor[0, - NCache[ - Rational[2, 3], 0.6666666666666666], 0], AbsoluteThickness[1.25], + Offset[{0.0012958666424725466`, 2.9999997201215947`}, { + 0.7823021410667605, 1.}], Offset[{0, 0}, {0.782316, 1.2}], + Offset[{0, 5}, {0.782316, 1.2}], Offset[{0, 10}, {0.782316, 1.2}], + Offset[{0, 10}, {0.782316, 1.2}]}]}, + {GrayLevel[0.5], AbsoluteThickness[1.25], BSplineCurveBox[{ - Offset[{1.8369701987210297`*^-16, 3.}, {0.6411580000000001, 1.}], - Offset[{0, 0}, {0.641158, 1.2}], Offset[{0, 5}, {0.641158, 1.2}], - Offset[{0, 10}, {0.641158, 1.2}], - Offset[{0, 10}, {0.641158, 1.2}]}]}, + Offset[{0.0012958666424725466`, 2.9999997201215947`}, { + 0.7823021410667605, 1.}], Offset[{0, 0}, {0.782316, 1.2}], + Offset[{0, 5}, {0.782316, 1.2}], Offset[{0, 10}, {0.782316, 1.2}], + Offset[{0, 10}, {0.782316, 1.2}]}]}, {EdgeForm[None], FaceForm[Opacity[0]], PolygonBox[{ - Offset[{36., 28.000000000000007`}, {0.641158, 1.2}], - Offset[{36., 10.000000000000007`}, {0.641158, 1.2}], - Offset[{-36., 9.999999999999993}, {0.641158, 1.2}], - Offset[{-36., 27.999999999999993`}, {0.641158, 1.2}]}]}, - {RGBColor[0, - NCache[ - Rational[2, 3], 0.6666666666666666], 0], AbsoluteThickness[1.25], - EdgeForm[None]}, {}, InsetBox[ + Offset[{36., 28.000000000000007`}, {0.782316, 1.2}], + Offset[{36., 10.000000000000007`}, {0.782316, 1.2}], + Offset[{-36., 9.999999999999993}, {0.782316, 1.2}], + Offset[{-36., 27.999999999999993`}, {0.782316, 1.2}]}]}, + {GrayLevel[0.5], AbsoluteThickness[1.25], EdgeForm[None]}, {}, InsetBox[ StyleBox[ RotationBox[ StyleBox["\<\"augmented bit\"\>", StripOnInput->False, FontWeight->Bold, - FontColor->RGBColor[0, - Rational[2, 3], 0]], + FontColor->GrayLevel[0.5]], BoxRotation->0.], StripOnInput->False, LineOpacity->1, FrontFaceOpacity->1, BackFaceOpacity->1, Opacity->1, - FontOpacity->1], Offset[{0., 19.}, {0.641158, 1.2}], NCache[ + FontOpacity->1], Offset[{0., 19.}, {0.782316, 1.2}], NCache[ ImageScaled[{Rational[1, 2], Rational[1, 2]}], ImageScaled[{0.5, 0.5}]]]}]}}, - AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], + AspectRatio->NCache[ + Rational[2, 3], 0.6666666666666666], Axes->{True, False}, AxesLabel->{None, None}, - AxesOrigin->{0.4000000000000009, 0}, + AxesOrigin->{0.450000000000001, 0}, DisplayFunction->Identity, Epilog->{ Directive[ @@ -70095,7 +70087,7 @@ DzMPxoe5H8YHAPP7Kw8= GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], - ImagePadding->{{0, 0}, {0, 25}}, + ImagePadding->{{0, 0}, {0, 30}}, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { @@ -70115,17 +70107,19 @@ DzMPxoe5H8YHAPP7Kw8= Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}, "AxesInFront" -> True}, - PlotRange->{{0.4, 1.}, {-1., 1.}}, + PlotRange->{{0.45, 1.}, {-1., 1.}}, PlotRangeClipping->False, PlotRangePadding->{{0, Scaled[0.02]}, {0, - Scaled[0.08090169943749476]}}, + Scaled[0.07500000000000001]}}, Ticks->{Automatic, {}}]}]], "Input", CellChangeTimes->{{3.888327460726316*^9, 3.88832747231983*^9}, { 3.88832886294895*^9, 3.8883288634551907`*^9}, {3.8883297762064333`*^9, - 3.8883297772675*^9}}, + 3.8883297772675*^9}, {3.888330050494399*^9, 3.888330051489697*^9}, { + 3.888330203889381*^9, 3.888330204659737*^9}, {3.8883822674804087`*^9, + 3.8883822683841248`*^9}, {3.888386427227242*^9, 3.888386428101384*^9}}, CellLabel-> - "In[1336]:=",ExpressionUUID->"7055d4a9-6536-4622-a076-e754f640eaa7"], + "In[1362]:=",ExpressionUUID->"7055d4a9-6536-4622-a076-e754f640eaa7"], Cell[BoxData[ GraphicsBox[{GraphicsComplexBox[CompressedData[" @@ -70141,7 +70135,7 @@ Ty+g7l8Bd2/CB2EmeWaEeTfk3tfP40D43yxsW6YoL0L+VZh2xkKk+NbK0GRY w45Qf63zz+w5rAj5P+xpa9/+RfgPPXzR5e++rcrsYkDIw9LXrJkg8HI/TD2M DzMPxoe5H8YHAPP7Kw8= "], {{{}, {}, {}, - {RGBColor[0.8, 1., 0.8], EdgeForm[None], + {GrayLevel[0.85], EdgeForm[None], GraphicsGroupBox[{PolygonBox[{{29, 56, 57, 45, 48}}], PolygonBox[{{16, 54, 55, 50, 36, 21, 25, 14, 18, 13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 17, 1, 30, 22, 39, 26, 46, 33, 49, 44, @@ -70151,53 +70145,48 @@ DzMPxoe5H8YHAPP7Kw8= LineBox[{16, 47, 44, 49, 33, 46, 26, 39, 22, 30, 1, 17, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 18, 14, 25, 21, 36, 50}], LineBox[{29, 48, 45}]}, - Annotation[#, "Charting`Private`Tag$8125932#2"]& ], - {RGBColor[0.8, 1., 0.8], LineBox[{52, 53, 51}]}}}], {{}, - GraphicsGroupBox[{ + Annotation[#, "Charting`Private`Tag$8190099#2"]& ], + {GrayLevel[0.85], LineBox[{52, 53, 51}]}}}], {{}, GraphicsGroupBox[{ {Opacity[0], CapForm["Butt"], JoinForm["Round"], BSplineCurveBox[{ - Offset[{1.8369701987210297`*^-16, 3.}, {0.6411580000000001, 1.}], - Offset[{0, 0}, {0.641158, 1.2}], Offset[{0, 5}, {0.641158, 1.2}], - Offset[{0, 10}, {0.641158, 1.2}], - Offset[{0, 10}, {0.641158, 1.2}]}]}, - {RGBColor[0, - NCache[ - Rational[2, 3], 0.6666666666666666], 0], AbsoluteThickness[1.25], + Offset[{0.0012958666424725466`, 2.9999997201215947`}, { + 0.7823021410667605, 1.}], Offset[{0, 0}, {0.782316, 1.2}], + Offset[{0, 5}, {0.782316, 1.2}], Offset[{0, 10}, {0.782316, 1.2}], + Offset[{0, 10}, {0.782316, 1.2}]}]}, + {GrayLevel[0.5], AbsoluteThickness[1.25], BSplineCurveBox[{ - Offset[{1.8369701987210297`*^-16, 3.}, {0.6411580000000001, 1.}], - Offset[{0, 0}, {0.641158, 1.2}], Offset[{0, 5}, {0.641158, 1.2}], - Offset[{0, 10}, {0.641158, 1.2}], - Offset[{0, 10}, {0.641158, 1.2}]}]}, + Offset[{0.0012958666424725466`, 2.9999997201215947`}, { + 0.7823021410667605, 1.}], Offset[{0, 0}, {0.782316, 1.2}], + Offset[{0, 5}, {0.782316, 1.2}], Offset[{0, 10}, {0.782316, 1.2}], + Offset[{0, 10}, {0.782316, 1.2}]}]}, {EdgeForm[None], FaceForm[Opacity[0]], PolygonBox[{ - Offset[{36., 28.000000000000007`}, {0.641158, 1.2}], - Offset[{36., 10.000000000000007`}, {0.641158, 1.2}], - Offset[{-36., 9.999999999999993}, {0.641158, 1.2}], - Offset[{-36., 27.999999999999993`}, {0.641158, 1.2}]}]}, - {RGBColor[0, - NCache[ - Rational[2, 3], 0.6666666666666666], 0], AbsoluteThickness[1.25], - EdgeForm[None]}, {}, InsetBox[ + Offset[{36., 28.000000000000007`}, {0.782316, 1.2}], + Offset[{36., 10.000000000000007`}, {0.782316, 1.2}], + Offset[{-36., 9.999999999999993}, {0.782316, 1.2}], + Offset[{-36., 27.999999999999993`}, {0.782316, 1.2}]}]}, + {GrayLevel[0.5], AbsoluteThickness[1.25], EdgeForm[None]}, {}, + InsetBox[ StyleBox[ RotationBox[ StyleBox["\<\"augmented bit\"\>", StripOnInput->False, FontWeight->Bold, - FontColor->RGBColor[0, - Rational[2, 3], 0]], + FontColor->GrayLevel[0.5]], BoxRotation->0.], StripOnInput->False, LineOpacity->1, FrontFaceOpacity->1, BackFaceOpacity->1, Opacity->1, - FontOpacity->1], Offset[{0., 19.}, {0.641158, 1.2}], NCache[ + FontOpacity->1], Offset[{0., 19.}, {0.782316, 1.2}], NCache[ ImageScaled[{Rational[1, 2], Rational[1, 2]}], ImageScaled[{0.5, 0.5}]]]}]}}, - AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], + AspectRatio->NCache[ + Rational[2, 3], 0.6666666666666666], Axes->{True, False}, AxesLabel->{None, None}, - AxesOrigin->{0.4000000000000009, 0}, + AxesOrigin->{0.450000000000001, 0}, DisplayFunction->Identity, Epilog->{ Directive[ @@ -70231,7 +70220,7 @@ DzMPxoe5H8YHAPP7Kw8= GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], - ImagePadding->{{0, 0}, {0, 25}}, + ImagePadding->{{0, 0}, {0, 30}}, ImageSize->{299.625, Automatic}, Method->{ "DefaultBoundaryStyle" -> Automatic, @@ -70252,16 +70241,17 @@ DzMPxoe5H8YHAPP7Kw8= Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}, "AxesInFront" -> True}, - PlotRange->{{0.4, 1.}, {-1., 1.}}, + PlotRange->{{0.45, 1.}, {-1., 1.}}, PlotRangeClipping->False, PlotRangePadding->{{0, Scaled[0.02]}, {0, - Scaled[0.08090169943749476]}}, + Scaled[0.07500000000000001]}}, Ticks->{Automatic, {}}]], "Output", CellChangeTimes->{3.888327473219499*^9, 3.888328864352157*^9, - 3.888329777882555*^9}, + 3.888329777882555*^9, 3.888330052070546*^9, 3.888330204919044*^9, + 3.8883822687048893`*^9, 3.8883864284338493`*^9}, CellLabel-> - "Out[1336]=",ExpressionUUID->"737c30ba-7772-41be-8230-c66611a20109"] + "Out[1362]=",ExpressionUUID->"39e4fac9-4f10-4342-9eeb-b6846deb1396"] }, Open ]], Cell[CellGroupData[{ @@ -70282,7 +70272,7 @@ Cell[BoxData[ 3.888327778900248*^9}, {3.888327859449986*^9, 3.8883278852434883`*^9}, { 3.888327982030218*^9, 3.8883280618627977`*^9}}, CellLabel-> - "In[1337]:=",ExpressionUUID->"8f1d6821-732d-4356-aecb-68dd42194a0c"], + "In[1358]:=",ExpressionUUID->"8f1d6821-732d-4356-aecb-68dd42194a0c"], Cell[BoxData[ GraphicsBox[{{}, {InsetBox[ @@ -70291,11 +70281,11 @@ Cell[BoxData[ JTh/yavdp/j6LsP5fLLL3z95cgXO78ncmrZA5Rqc/81h9ZOM+utwPgMaYDzk 5dT75ixc3ull0wY2J4T9jqEblrJcQpi3def2M/aKN+D8OQ9Cawp8EfrDajdG hFxA2Je22J5jVfc5NP0noPwH9i/zoyUf/T0Dl39yfVfbVk+E+X6BAff/zTmL -pn8HlH8Bqn8P3LwzHjtXVpki9Huc7rz5XuIQlH/D3mnFDa+VqujmrYDyD9hX -S7vGC/kh9E/pibn04y3CfSF52yY3JCPk/26a4d8ageBfUvzj8+HzGZzy6Obb -PM+77h2Mad+smSDwcj9MPYwPMw/Gh7kHxgcApdHWxQ== +pn8HlH8Bqn8P3LwzHjtXVpki9Huc7rz5XuIQlH/D3mnFDa+VqujmrYDyD9jX +SbvGC/kh9E/pibn04y3CfSF52yY3JCPkGTbP8G+NQPAvKf7x+fD5DE55dPPt +n+dd9w7GtG/WTBB4uR+mHsaHmQfjw9wD4wMAjx/T3Q== "], {{{}, {}, {}, - {RGBColor[0.8, 1., 0.8], EdgeForm[None], + {GrayLevel[0.85], EdgeForm[None], GraphicsGroupBox[{PolygonBox[{{29, 36, 37, 28}}], PolygonBox[{{27, 34, 35, 26, 18, 22, 12, 14, 7, 11, 6, 5, 4, 3, 2, 10, 1, 15, 9, 19, 13, 24, 17, @@ -70304,53 +70294,49 @@ PM+77h2Mad+smSDwcj9MPYwPMw/Gh7kHxgcApdHWxQ== {Opacity[0], LineBox[{27, 30, 17, 24, 13, 19, 9, 15, 1, 10, 2, 3, 4, 5, 6, 11, 7, 14, 12, 22, 18, 26}], LineBox[{29, 28}]}, - Annotation[#, "Charting`Private`Tag$8124299#2"]& ], - {RGBColor[0.8, 1., 0.8], LineBox[{32, 33, 31}]}}}], {{}, + Annotation[#, "Charting`Private`Tag$8174410#2"]& ], + {GrayLevel[0.85], LineBox[{32, 33, 31}]}}}], {{}, GraphicsGroupBox[{ {Opacity[0], CapForm["Butt"], JoinForm["Round"], BSplineCurveBox[{ - Offset[{6.178901352847948*^-15, 3.}, {0.3035419999999998, 1.}], - Offset[{0, 0}, {0.30354199999999987`, 1.2}], - Offset[{0, 5}, {0.30354199999999987`, 1.2}], - Offset[{0, 10}, {0.30354199999999987`, 1.2}], - Offset[{0, 10}, {0.30354199999999987`, 1.2}]}]}, - {RGBColor[0, - NCache[ - Rational[2, 3], 0.6666666666666666], 0], AbsoluteThickness[1.25], - BSplineCurveBox[{ - Offset[{6.178901352847948*^-15, 3.}, {0.3035419999999998, 1.}], - Offset[{0, 0}, {0.30354199999999987`, 1.2}], - Offset[{0, 5}, {0.30354199999999987`, 1.2}], - Offset[{0, 10}, {0.30354199999999987`, 1.2}], - Offset[{0, 10}, {0.30354199999999987`, 1.2}]}]}, + Offset[{1.8369701987210297`*^-16, 3.}, {0.30354200000000003`, + 1.}], Offset[{0, 0}, {0.30354200000000003`, 1.2}], + Offset[{0, 5}, {0.30354200000000003`, 1.2}], + Offset[{0, 10}, {0.30354200000000003`, 1.2}], + Offset[{0, 10}, {0.30354200000000003`, 1.2}]}]}, + {GrayLevel[0.5], AbsoluteThickness[1.25], + BSplineCurveBox[{ + Offset[{1.8369701987210297`*^-16, 3.}, {0.30354200000000003`, + 1.}], Offset[{0, 0}, {0.30354200000000003`, 1.2}], + Offset[{0, 5}, {0.30354200000000003`, 1.2}], + Offset[{0, 10}, {0.30354200000000003`, 1.2}], + Offset[{0, 10}, {0.30354200000000003`, 1.2}]}]}, {EdgeForm[None], FaceForm[Opacity[0]], PolygonBox[{ - Offset[{36., 28.000000000000007`}, {0.30354199999999987`, 1.2}], - Offset[{36., 10.000000000000007`}, {0.30354199999999987`, 1.2}], - Offset[{-36., 9.999999999999993}, {0.30354199999999987`, 1.2}], - Offset[{-36., 27.999999999999993`}, {0.30354199999999987`, + Offset[{36., 28.000000000000007`}, {0.30354200000000003`, 1.2}], + Offset[{36., 10.000000000000007`}, {0.30354200000000003`, 1.2}], + Offset[{-36., 9.999999999999993}, {0.30354200000000003`, 1.2}], + Offset[{-36., 27.999999999999993`}, {0.30354200000000003`, 1.2}]}]}, - {RGBColor[0, - NCache[ - Rational[2, 3], 0.6666666666666666], 0], AbsoluteThickness[1.25], - EdgeForm[None]}, {}, InsetBox[ + {GrayLevel[0.5], AbsoluteThickness[1.25], EdgeForm[None]}, {}, + InsetBox[ StyleBox[ RotationBox[ StyleBox["\<\"augmented bit\"\>", StripOnInput->False, FontWeight->Bold, - FontColor->RGBColor[0, - Rational[2, 3], 0]], + FontColor->GrayLevel[0.5]], BoxRotation->0.], StripOnInput->False, LineOpacity->1, FrontFaceOpacity->1, BackFaceOpacity->1, Opacity->1, - FontOpacity->1], Offset[{0., 19.}, {0.30354199999999987, 1.2}], + FontOpacity->1], Offset[{0., 19.}, {0.30354200000000003, 1.2}], NCache[ImageScaled[{Rational[1, 2], Rational[1, 2]}], ImageScaled[{0.5, 0.5}]]]}]}}, - AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], + AspectRatio->NCache[ + Rational[2, 3], 0.6666666666666666], Axes->{True, False}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, @@ -70358,14 +70344,13 @@ PM+77h2Mad+smSDwcj9MPYwPMw/Gh7kHxgcApdHWxQ== Epilog->{ Directive[ GrayLevel[0]], { - LineBox[{{0.2259999999999998, -0.8}, {0.2259999999999998, 1}}], + LineBox[{{0.226, -0.8}, {0.226, 1}}], InsetBox[ BoxData[ FormBox[ StyleBox[ "\"representative bit\"", Bold, FontFamily -> "Helvetica", - StripOnInput -> False], TraditionalForm]], { - 0.2259999999999998, -0.9}]}, + StripOnInput -> False], TraditionalForm]], {0.226, -0.9}]}, Directive[ GrayLevel[0.5], Dashing[{Small, Small}]], @@ -70374,21 +70359,21 @@ PM+77h2Mad+smSDwcj9MPYwPMw/Gh7kHxgcApdHWxQ== Rational[1, 2], -1}, { Rational[1, 2], 1}}, {{0.5, -1}, {0.5, 1}}]], { LineBox[ - NCache[{{0.2259999999999998, 0.2}, { - Rational[1, 2], 0.2}}, {{0.2259999999999998, 0.2}, {0.5, 0.2}}]], + NCache[{{0.226, 0.2}, { + Rational[1, 2], 0.2}}, {{0.226, 0.2}, {0.5, 0.2}}]], InsetBox[ BoxData[ FormBox[ StyleBox[ "\"margin\"", Bold, FontFamily -> "Helvetica", StripOnInput -> - False], TraditionalForm]], {0.3629999999999999, 0.3}]}}, + False], TraditionalForm]], {0.363, 0.3}]}}, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], - ImagePadding->{{0., 0.}, {0., 25.}}, + ImagePadding->{{0., 0.}, {0., 30.}}, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { @@ -70408,13 +70393,13 @@ PM+77h2Mad+smSDwcj9MPYwPMw/Gh7kHxgcApdHWxQ== Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}, "AxesInFront" -> True}, - PlotRange->{{0., 0.6}, {-1., 1.}}, + PlotRange->{{0., 0.55}, {-1., 1.}}, PlotRangeClipping->False, PlotRangePadding->{{0, Scaled[0.02]}, {0, - Scaled[0.08090169943749476]}}, - Ticks->{Automatic, {}}], {158.62823368535496, -109.63080186802114}, - ImageScaled[{0.5, 0.5}], {297.4279381600405, 208.8205749867069}, + Scaled[0.07500000000000001]}}, + Ticks->{Automatic, {}}], {158.85714285714283, -119.99999999999999}, + ImageScaled[{0.5, 0.5}], {297.85714285714283, 228.57142857142856}, BaseStyle->{Graphics3DBoxOptions -> {SphericalRegion -> False}}], InsetBox[ GraphicsBox[{GraphicsComplexBox[CompressedData[" @@ -70430,7 +70415,7 @@ Ty+g7l8Bd2/CB2EmeWaEeTfk3tfP40D43yxsW6YoL0L+VZh2xkKk+NbK0GRY w45Qf63zz+w5rAj5P+xpa9/+RfgPPXzR5e++rcrsYkDIw9LXrJkg8HI/TD2M DzMPxoe5H8YHAPP7Kw8= "], {{{}, {}, {}, - {RGBColor[0.8, 1., 0.8], EdgeForm[None], + {GrayLevel[0.85], EdgeForm[None], GraphicsGroupBox[{PolygonBox[{{29, 56, 57, 45, 48}}], PolygonBox[{{16, 54, 55, 50, 36, 21, 25, 14, 18, 13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 17, 1, 30, 22, 39, 26, 46, 33, 49, 44, @@ -70440,22 +70425,22 @@ DzMPxoe5H8YHAPP7Kw8= LineBox[{16, 47, 44, 49, 33, 46, 26, 39, 22, 30, 1, 17, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 18, 14, 25, 21, 36, 50}], LineBox[{29, 48, 45}]}, - Annotation[#, "Charting`Private`Tag$8125932#2"]& ], - {RGBColor[0.8, 1., 0.8], LineBox[{52, 53, 51}]}}}], {{}, + Annotation[#, "Charting`Private`Tag$8175709#2"]& ], + {GrayLevel[0.85], LineBox[{52, 53, 51}]}}}], {{}, GraphicsGroupBox[{ {Opacity[0], CapForm["Butt"], JoinForm["Round"], BSplineCurveBox[{ - Offset[{1.8369701987210297`*^-16, 3.}, {0.6411580000000001, 1.}], - Offset[{0, 0}, {0.641158, 1.2}], Offset[{0, 5}, {0.641158, 1.2}], - Offset[{0, 10}, {0.641158, 1.2}], + Offset[{-1.1806711646079588`*^-14, 3.}, {0.6411580000000001, 1.}], + Offset[{0, 0}, {0.641158, 1.2}], + Offset[{0, 5}, {0.641158, 1.2}], + Offset[{0, 10}, {0.641158, 1.2}], Offset[{0, 10}, {0.641158, 1.2}]}]}, - {RGBColor[0, - NCache[ - Rational[2, 3], 0.6666666666666666], 0], AbsoluteThickness[1.25], - BSplineCurveBox[{ - Offset[{1.8369701987210297`*^-16, 3.}, {0.6411580000000001, 1.}], - Offset[{0, 0}, {0.641158, 1.2}], Offset[{0, 5}, {0.641158, 1.2}], - Offset[{0, 10}, {0.641158, 1.2}], + {GrayLevel[0.5], AbsoluteThickness[1.25], + BSplineCurveBox[{ + Offset[{-1.1806711646079588`*^-14, 3.}, {0.6411580000000001, 1.}], + Offset[{0, 0}, {0.641158, 1.2}], + Offset[{0, 5}, {0.641158, 1.2}], + Offset[{0, 10}, {0.641158, 1.2}], Offset[{0, 10}, {0.641158, 1.2}]}]}, {EdgeForm[None], FaceForm[Opacity[0]], PolygonBox[{ @@ -70463,17 +70448,14 @@ DzMPxoe5H8YHAPP7Kw8= Offset[{36., 10.000000000000007`}, {0.641158, 1.2}], Offset[{-36., 9.999999999999993}, {0.641158, 1.2}], Offset[{-36., 27.999999999999993`}, {0.641158, 1.2}]}]}, - {RGBColor[0, - NCache[ - Rational[2, 3], 0.6666666666666666], 0], AbsoluteThickness[1.25], - EdgeForm[None]}, {}, InsetBox[ + {GrayLevel[0.5], AbsoluteThickness[1.25], EdgeForm[None]}, {}, + InsetBox[ StyleBox[ RotationBox[ StyleBox["\<\"augmented bit\"\>", StripOnInput->False, FontWeight->Bold, - FontColor->RGBColor[0, - Rational[2, 3], 0]], + FontColor->GrayLevel[0.5]], BoxRotation->0.], StripOnInput->False, LineOpacity->1, @@ -70483,10 +70465,11 @@ DzMPxoe5H8YHAPP7Kw8= FontOpacity->1], Offset[{0., 19.}, {0.641158, 1.2}], NCache[ ImageScaled[{Rational[1, 2], Rational[1, 2]}], ImageScaled[{0.5, 0.5}]]]}]}}, - AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], + AspectRatio->NCache[ + Rational[2, 3], 0.6666666666666666], Axes->{True, False}, AxesLabel->{None, None}, - AxesOrigin->{0.4000000000000009, 0}, + AxesOrigin->{0.450000000000001, 0}, DisplayFunction->Identity, Epilog->{ Directive[ @@ -70520,7 +70503,7 @@ DzMPxoe5H8YHAPP7Kw8= GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], - ImagePadding->{{0., 0.}, {0., 25.}}, + ImagePadding->{{0., 0.}, {0., 30.}}, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { @@ -70540,31 +70523,32 @@ DzMPxoe5H8YHAPP7Kw8= Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}, "AxesInFront" -> True}, - PlotRange->{{0.4, 1.}, {-1., 1.}}, + PlotRange->{{0.45, 1.}, {-1., 1.}}, PlotRangeClipping->False, PlotRangePadding->{{0, Scaled[0.02]}, {0, - Scaled[0.08090169943749476]}}, - Ticks->{Automatic, {}}], {475.88470105606484, -109.63080186802114}, - ImageScaled[{0.5, 0.5}], {297.4279381600405, 208.8205749867069}, + Scaled[0.07500000000000001]}}, + Ticks->{Automatic, {}}], {476.5714285714285, -119.99999999999999}, + ImageScaled[{0.5, 0.5}], {297.85714285714283, 228.57142857142856}, BaseStyle->{Graphics3DBoxOptions -> {SphericalRegion -> False}}]}, StyleBox[{{}, {GrayLevel[0.85], - LineBox[{{317.2564673707099, 0}, { - 317.2564673707099, -219.26160373604225`}}]}}, + LineBox[{{317.71428571428567`, 0}, { + 317.71428571428567`, -239.99999999999997`}}]}}, Antialiasing->False]}, ImageSize->{ UpTo[600], - UpTo[223]}, - PlotRange->{{0, 634.5129347414198}, {-219.26160373604225`, 0}}, + UpTo[240]}, + PlotRange->{{0, 635.4285714285713}, {-239.99999999999997`, 0}}, PlotRangePadding->{6, 5}]], "Output", CellChangeTimes->{{3.8883275027585497`*^9, 3.8883275671689577`*^9}, { 3.888327611761984*^9, 3.888327654050169*^9}, {3.888327709252116*^9, 3.8883277800310087`*^9}, {3.8883278711457977`*^9, 3.888327886432271*^9}, { 3.8883279856131144`*^9, 3.8883280629683523`*^9}, 3.888328867689982*^9, - 3.8883298215589037`*^9}, + 3.8883298215589037`*^9, 3.888330055273203*^9, 3.88833020879858*^9, + 3.888382272086431*^9}, CellLabel-> - "Out[1337]=",ExpressionUUID->"ce270566-b4a1-4d04-bcd3-17aac3b97579"] + "Out[1358]=",ExpressionUUID->"22f9251a-c226-48d6-b7bf-c166c2a26e1a"] }, Open ]], Cell[CellGroupData[{ @@ -70576,13 +70560,14 @@ Cell[BoxData[ png\>\"", ",", "g3"}], "]"}]], "Input", CellChangeTimes->{{3.888328896053699*^9, 3.88832890252108*^9}}, CellLabel-> - "In[1338]:=",ExpressionUUID->"52628336-4c12-4de2-b09c-7f15f4d115a3"], + "In[1359]:=",ExpressionUUID->"52628336-4c12-4de2-b09c-7f15f4d115a3"], Cell[BoxData["\<\"/home/wright/coding/discrete-differentiable-networks/docs/\ margin-trick.png\"\>"], "Output", - CellChangeTimes->{3.888328904006467*^9, 3.888329828075815*^9}, + CellChangeTimes->{3.888328904006467*^9, 3.888329828075815*^9, + 3.888330060827599*^9, 3.888330211812055*^9, 3.888382277208984*^9}, CellLabel-> - "Out[1338]=",ExpressionUUID->"c332ba01-b593-48f7-9440-c59ac5c44545"] + "Out[1359]=",ExpressionUUID->"beeec97e-48a2-41a6-bf2f-02a116bed0f3"] }, Open ]] }, Open ]] }, Open ]] @@ -70866,26 +70851,26 @@ Cell[3967360, 69286, 459, 13, 33, "Output",ExpressionUUID->"9ad462b9-141f-41b0-b Cell[CellGroupData[{ Cell[3967868, 69305, 402, 6, 67, "Section",ExpressionUUID->"c09d6245-a9a1-43ca-a0e7-db08da84ec46"], Cell[CellGroupData[{ -Cell[3968295, 69315, 12717, 285, 700, "Input",ExpressionUUID->"d4e8cbf0-82ca-4cca-85c2-900fc8e77611"], -Cell[3981015, 69602, 4721, 98, 462, "Output",ExpressionUUID->"d6c95457-568c-4d4d-861a-ed592bb12954"] +Cell[3968295, 69315, 12873, 285, 698, "Input",ExpressionUUID->"d4e8cbf0-82ca-4cca-85c2-900fc8e77611"], +Cell[3981171, 69602, 4898, 100, 484, "Output",ExpressionUUID->"266f0e7b-d104-4289-bb71-d953e1a1377a"] }, Open ]], -Cell[3985751, 69703, 280, 7, 32, "Input",ExpressionUUID->"684d9a6e-d612-4e60-8a29-e2a00934b055"], +Cell[3986084, 69705, 280, 7, 32, "Input",ExpressionUUID->"684d9a6e-d612-4e60-8a29-e2a00934b055"], Cell[CellGroupData[{ -Cell[3986056, 69714, 5645, 132, 95, "Input",ExpressionUUID->"c5e34d5e-dc1f-4beb-a7be-79a7de270445"], -Cell[3991704, 69848, 5429, 132, 278, "Output",ExpressionUUID->"b6e770cb-2a3c-45a6-a626-400602590fa0"] +Cell[3986389, 69716, 5682, 130, 105, "Input",ExpressionUUID->"c5e34d5e-dc1f-4beb-a7be-79a7de270445"], +Cell[3992074, 69848, 5355, 130, 301, "Output",ExpressionUUID->"2546bc19-a586-4c19-905f-8faffb1f0efa"] }, Open ]], -Cell[3997148, 69983, 293, 7, 32, "Input",ExpressionUUID->"f5350a92-e0ed-422c-abfe-54ea462b9e0e"], +Cell[3997444, 69981, 293, 7, 32, "Input",ExpressionUUID->"f5350a92-e0ed-422c-abfe-54ea462b9e0e"], Cell[CellGroupData[{ -Cell[3997466, 69994, 5608, 133, 95, "Input",ExpressionUUID->"7055d4a9-6536-4622-a076-e754f640eaa7"], -Cell[4003077, 70129, 5470, 134, 241, "Output",ExpressionUUID->"737c30ba-7772-41be-8230-c66611a20109"] +Cell[3997762, 69992, 5649, 129, 105, "Input",ExpressionUUID->"7055d4a9-6536-4622-a076-e754f640eaa7"], +Cell[4003414, 70123, 5425, 130, 283, "Output",ExpressionUUID->"39e4fac9-4f10-4342-9eeb-b6846deb1396"] }, Open ]], Cell[CellGroupData[{ -Cell[4008584, 70268, 656, 16, 29, "Input",ExpressionUUID->"8f1d6821-732d-4356-aecb-68dd42194a0c"], -Cell[4009243, 70286, 12547, 280, 243, "Output",ExpressionUUID->"ce270566-b4a1-4d04-bcd3-17aac3b97579"] +Cell[4008876, 70258, 656, 16, 29, "Input",ExpressionUUID->"8f1d6821-732d-4356-aecb-68dd42194a0c"], +Cell[4009535, 70276, 12209, 274, 262, "Output",ExpressionUUID->"22f9251a-c226-48d6-b7bf-c166c2a26e1a"] }, Open ]], Cell[CellGroupData[{ -Cell[4021827, 70571, 318, 7, 29, "Input",ExpressionUUID->"52628336-4c12-4de2-b09c-7f15f4d115a3"], -Cell[4022148, 70580, 259, 4, 96, "Output",ExpressionUUID->"c332ba01-b593-48f7-9440-c59ac5c44545"] +Cell[4021781, 70555, 318, 7, 29, "Input",ExpressionUUID->"52628336-4c12-4de2-b09c-7f15f4d115a3"], +Cell[4022102, 70564, 328, 5, 47, "Output",ExpressionUUID->"beeec97e-48a2-41a6-bf2f-02a116bed0f3"] }, Open ]] }, Open ]] }, Open ]] From 4b03307e52242325df99880b68223df0e3b6affe Mon Sep 17 00:00:00 2001 From: Ian Wright Date: Tue, 21 Mar 2023 18:21:58 +0000 Subject: [PATCH 063/128] more --- docs/db.tex | 66 +++++----- docs/proofs.nb | 326 ++++++++++++++++++++++++++++++++++++++++++------- 2 files changed, 312 insertions(+), 80 deletions(-) diff --git a/docs/db.tex b/docs/db.tex index 5e88b76..1672fc6 100644 --- a/docs/db.tex +++ b/docs/db.tex @@ -126,7 +126,7 @@ \subsection{Learning to negate} \subsection{Margin packing} -Say we aim to construct a differentiable analogue of $x \wedge y$. Note that $\operatorname{min}(x,y)$ essentially selects one of $x$ or $y$ as a `representative soft-bit' that is guaranteed hard-equivalent to $x \wedge y$. However, by selecting only one of $x$ or $y$ then $\operatorname{min}$ is also guaranteed to be gradient-sparse. We define a `margin packing' method to avoid this dilemma. +Say we aim to construct a differentiable analogue of $x \wedge y$. Note that $\operatorname{min}(x,y)$ essentially selects one of $x$ or $y$ as a representative soft-bit that is guaranteed hard-equivalent to $x \wedge y$. However, by selecting only one of $x$ or $y$ then $\operatorname{min}$ is also guaranteed to be gradient-sparse. We define a `margin packing' method to avoid this dilemma. The main idea of margin packing is (i) select a representative bit that is hard-equivalent to the target discrete function, and then (ii) pack a fraction of the margin between the representative bit and the hard threshold $1/2$ with gradient-rich information. The result is an augmented bit that is a function of all inputs yet hard-equivalent to the target function. @@ -138,14 +138,14 @@ \subsection{Margin packing} \end{figure} % On the left, ${\bf x}=[0.9,0.23]$, $z=0.23$, $\bar{\bf x}=0.57$ and therefore $\approx 60\%$ of the margin is packed; on the right, ${\bf x}=[0.9,0.83]$, $z=0.83$, $\bar{\bf x}=0.87$, and therefore $\approx 90\%$ of the margin is packed. -Say we have a vector of soft-bit inputs ${\bf x}$ and the $i$th element represents the target discrete function (e.g. if our target is $x \wedge y$ then ${\bf x}=[x,y]$ and $i$ is 1 if $x0} \to \mathbb{Z}_{> 0}$ as $n \mapsto 1 + \lfloor \frac{n-1}{2}\rfloor$. - -%Define $\operatorname{select}: [0,1]^n \times {1, 2, \ldots, n} \to [0,1]$ as $({\bf x}, i) \mapsto x_{i}$. - -%Define $\operatorname{majority-bit}: [0,1]^n \to [0,1]$ as ${\bf x} \mapsto \operatorname{select}( \operatorname{sort}({\bf x}), \operatorname{majority-index}(\lvert{\bf x}\rvert))$, where $\operatorname{sort}({\bf x})$ sorts the elements of ${\bf x}$ in ascending order. - -%Define $\operatorname{majority-delta}: [0,1]^n \to [0,1]$ as ${\bf x} \mapsto \operatorname{margin}(\operatorname{sort}({\bf x}), \operatorname{majority-index}({\bf x}))$. +$\operatorname{Maj}$ for $n$ bits in DNF form is a disjunction of $\binom{n}{k}$ conjunctive clauses of size $k$, where $k=\lceil n/2 \rceil$ and each clause checks if a unique combination of a majority of the $n$ bits are high; e.g. $\operatorname{Maj}(x, y, z) = (x \wedge y) \vee (x \wedge y) \vee (y \wedge z)$. Therefore, we could in principle implement a differentiable analogue of $\operatorname{Maj}$ in terms of $\partial\wedge$ and $\partial\vee$. However, the number of terms grows exponentially; e.g. $n=50$ generates over 100 trillion conjunctive clauses, which is infeasible. In circuit theory there is no known general algorithm for finding the minimal representation of $\operatorname{Maj}$ for arbitrary $n$. -Define +Instead, we observe that if $\operatorname{sort}({\bf x})$ sorts the elements of ${\bf x}$ in ascending order then the `middle' soft-bit is representative. For example, if ${\bf x} = [0.4, 0.9, 0.2]$ then $\operatorname{sort}({\bf x}) = [0.2, 0.4, 0.9]$ and the `middle' bit $x_{2}=0.4$ is low, which is hard-equivalent to $\operatorname{Maj}(0, 1, 0) = 0$. Define the index of the `middle' bit by \begin{equation*} \begin{aligned} - \partial\text{MAJORITY}: [0,1]^{n} &\to [0,1], \\ - {\bf x} &\mapsto \operatorname{augmented-bit}(\operatorname{sort}({\bf x}), \operatorname{majority-index}({\bf x})) +\operatorname{majority-index}: \mathbb{Z}_{>0} \to \mathbb{Z}_{> 0}\\ +n \mapsto \left\lceil \frac{n}{2}\right\rceil +\text{.} \end{aligned} \end{equation*} -\begin{comment} +Then the differentiable function \begin{equation*} \begin{aligned} -\partial\text{MAJORITY}: [0,1]^{n} &\to [0,1], \\ -{\bf x} &\mapsto - \begin{cases} - 1/2 + \delta & \text{if } m > 1/2 \\ - m + \delta & \text{otherwise,} - \end{cases} + \partial\!\operatorname{Maj}: [0,1]^{n} &\to [0,1], \\ + {\bf x} &\mapsto \operatorname{augmented-bit}(\operatorname{sort}({\bf x}), \operatorname{majority-index}({\bf x})) \end{aligned} \end{equation*} -\end{comment} -where ${\bf x}$ is a vector of soft-bits, and $\operatorname{sort}({\bf x})$ sorts the elements of ${\bf x}$ in ascending order. -$\partial${MAJORITY} is hard-equivalent to the boolean majority function (proposition \ref{prop:majority}). +is hard-equivalent to $\operatorname{Maj}({\bf x})$ (see proposition \ref{prop:majority}). Note that $\partial\!\operatorname{Maj}$ is differentiable almost everywhere and gradient-rich (see figure \ref{fig:majority-plot}). + -TODO: explain how we use sort to avoid space blow-up. TODO: discuss time-complexity of sort. +We also want to maximise fan-in information where necessary (for backprop error signal) but also minimize it where necessary (e.g. picking a representative bit we want to optimize). Representative bit when we want a vector-wise update; otherwise, min/max. + +TODO: min/max are a degenerate case of sorting/ordering + \subsection{Differentiable integer count} Define @@ -378,7 +376,7 @@ \subsection{Noisy XOR} \begin{figure}[t] \centering \includegraphics[width=1.0\textwidth]{noisy-xor-architecture.png} - \caption{{\em A $\partial\mathbb{B}$ net for the noisy-xor problem}. The net concatenates the soft-bit input, ${\bf x}$ (length 12), with its negation, ${\bf 1 - x}$, and supplies the resulting vector (length 24) to a $\partial\!\wedge\!\text{LAYER}$ (width 32), $\partial\!\vee\!\text{LAYER}$ (width 32), $\partial \neg \text{LAYER}$ (width 16), and a final $\partial\text{MAJORITY}$ to produce a single soft-bit $y \in [0,1]$ (to predict odd parity) and its negation $1-y$ (to predict even parity). The net's weights, once hardened, consume $288$ bytes.} + \caption{{\em A $\partial\mathbb{B}$ net for the noisy-xor problem}. The net concatenates the soft-bit input, ${\bf x}$ (length 12), with its negation, ${\bf 1 - x}$, and supplies the resulting vector (length 24) to a $\partial\!\wedge\!\text{LAYER}$ (width 32), $\partial\!\vee\!\text{LAYER}$ (width 32), $\partial \neg \text{LAYER}$ (width 16), and a final $\partial\!\operatorname{Maj}$ to produce a single soft-bit $y \in [0,1]$ (to predict odd parity) and its negation $1-y$ (to predict even parity). The net's weights, once hardened, consume $288$ bytes.} \label{fig:noisy-xor-architecture} \end{figure} diff --git a/docs/proofs.nb b/docs/proofs.nb index 5fbd22c..d5b0e18 100644 --- a/docs/proofs.nb +++ b/docs/proofs.nb @@ -10,10 +10,10 @@ NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 158, 7] -NotebookDataLength[ 4039623, 70872] -NotebookOptionsPosition[ 4022470, 70574] -NotebookOutlinePosition[ 4023113, 70595] -CellTagsIndexPosition[ 4023070, 70592] +NotebookDataLength[ 4048234, 71106] +NotebookOptionsPosition[ 4029925, 70788] +NotebookOutlinePosition[ 4030568, 70809] +CellTagsIndexPosition[ 4030525, 70806] WindowFrame->Normal*) (* Beginning of Notebook Content *) @@ -70272,7 +70272,7 @@ Cell[BoxData[ 3.888327778900248*^9}, {3.888327859449986*^9, 3.8883278852434883`*^9}, { 3.888327982030218*^9, 3.8883280618627977`*^9}}, CellLabel-> - "In[1358]:=",ExpressionUUID->"8f1d6821-732d-4356-aecb-68dd42194a0c"], + "In[1363]:=",ExpressionUUID->"8f1d6821-732d-4356-aecb-68dd42194a0c"], Cell[BoxData[ GraphicsBox[{{}, {InsetBox[ @@ -70294,29 +70294,31 @@ n+dd9w7GtG/WTBB4uR+mHsaHmQfjw9wD4wMAjx/T3Q== {Opacity[0], LineBox[{27, 30, 17, 24, 13, 19, 9, 15, 1, 10, 2, 3, 4, 5, 6, 11, 7, 14, 12, 22, 18, 26}], LineBox[{29, 28}]}, - Annotation[#, "Charting`Private`Tag$8174410#2"]& ], + Annotation[#, "Charting`Private`Tag$8188800#2"]& ], {GrayLevel[0.85], LineBox[{32, 33, 31}]}}}], {{}, GraphicsGroupBox[{ {Opacity[0], CapForm["Butt"], JoinForm["Round"], BSplineCurveBox[{ - Offset[{1.8369701987210297`*^-16, 3.}, {0.30354200000000003`, - 1.}], Offset[{0, 0}, {0.30354200000000003`, 1.2}], - Offset[{0, 5}, {0.30354200000000003`, 1.2}], - Offset[{0, 10}, {0.30354200000000003`, 1.2}], - Offset[{0, 10}, {0.30354200000000003`, 1.2}]}]}, + Offset[{0.0010158642378753182`, 2.9999998280033036`}, { + 0.38107313561497347`, 1.}], + Offset[{0, 0}, {0.38108400000000003`, 1.2}], + Offset[{0, 5}, {0.38108400000000003`, 1.2}], + Offset[{0, 10}, {0.38108400000000003`, 1.2}], + Offset[{0, 10}, {0.38108400000000003`, 1.2}]}]}, {GrayLevel[0.5], AbsoluteThickness[1.25], BSplineCurveBox[{ - Offset[{1.8369701987210297`*^-16, 3.}, {0.30354200000000003`, - 1.}], Offset[{0, 0}, {0.30354200000000003`, 1.2}], - Offset[{0, 5}, {0.30354200000000003`, 1.2}], - Offset[{0, 10}, {0.30354200000000003`, 1.2}], - Offset[{0, 10}, {0.30354200000000003`, 1.2}]}]}, + Offset[{0.0010158642378753182`, 2.9999998280033036`}, { + 0.38107313561497347`, 1.}], + Offset[{0, 0}, {0.38108400000000003`, 1.2}], + Offset[{0, 5}, {0.38108400000000003`, 1.2}], + Offset[{0, 10}, {0.38108400000000003`, 1.2}], + Offset[{0, 10}, {0.38108400000000003`, 1.2}]}]}, {EdgeForm[None], FaceForm[Opacity[0]], PolygonBox[{ - Offset[{36., 28.000000000000007`}, {0.30354200000000003`, 1.2}], - Offset[{36., 10.000000000000007`}, {0.30354200000000003`, 1.2}], - Offset[{-36., 9.999999999999993}, {0.30354200000000003`, 1.2}], - Offset[{-36., 27.999999999999993`}, {0.30354200000000003`, + Offset[{36., 28.000000000000007`}, {0.38108400000000003`, 1.2}], + Offset[{36., 10.000000000000007`}, {0.38108400000000003`, 1.2}], + Offset[{-36., 9.999999999999993}, {0.38108400000000003`, 1.2}], + Offset[{-36., 27.999999999999993`}, {0.38108400000000003`, 1.2}]}]}, {GrayLevel[0.5], AbsoluteThickness[1.25], EdgeForm[None]}, {}, InsetBox[ @@ -70332,7 +70334,7 @@ n+dd9w7GtG/WTBB4uR+mHsaHmQfjw9wD4wMAjx/T3Q== FrontFaceOpacity->1, BackFaceOpacity->1, Opacity->1, - FontOpacity->1], Offset[{0., 19.}, {0.30354200000000003, 1.2}], + FontOpacity->1], Offset[{0., 19.}, {0.38108400000000003, 1.2}], NCache[ImageScaled[{Rational[1, 2], Rational[1, 2]}], ImageScaled[{0.5, 0.5}]]]}]}}, AspectRatio->NCache[ @@ -70425,29 +70427,29 @@ DzMPxoe5H8YHAPP7Kw8= LineBox[{16, 47, 44, 49, 33, 46, 26, 39, 22, 30, 1, 17, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 18, 14, 25, 21, 36, 50}], LineBox[{29, 48, 45}]}, - Annotation[#, "Charting`Private`Tag$8175709#2"]& ], + Annotation[#, "Charting`Private`Tag$8190099#2"]& ], {GrayLevel[0.85], LineBox[{52, 53, 51}]}}}], {{}, GraphicsGroupBox[{ {Opacity[0], CapForm["Butt"], JoinForm["Round"], BSplineCurveBox[{ - Offset[{-1.1806711646079588`*^-14, 3.}, {0.6411580000000001, 1.}], - Offset[{0, 0}, {0.641158, 1.2}], - Offset[{0, 5}, {0.641158, 1.2}], - Offset[{0, 10}, {0.641158, 1.2}], - Offset[{0, 10}, {0.641158, 1.2}]}]}, + Offset[{0.0012958666424725466`, 2.9999997201215947`}, { + 0.7823021410667605, 1.}], Offset[{0, 0}, {0.782316, 1.2}], + Offset[{0, 5}, {0.782316, 1.2}], + Offset[{0, 10}, {0.782316, 1.2}], + Offset[{0, 10}, {0.782316, 1.2}]}]}, {GrayLevel[0.5], AbsoluteThickness[1.25], BSplineCurveBox[{ - Offset[{-1.1806711646079588`*^-14, 3.}, {0.6411580000000001, 1.}], - Offset[{0, 0}, {0.641158, 1.2}], - Offset[{0, 5}, {0.641158, 1.2}], - Offset[{0, 10}, {0.641158, 1.2}], - Offset[{0, 10}, {0.641158, 1.2}]}]}, + Offset[{0.0012958666424725466`, 2.9999997201215947`}, { + 0.7823021410667605, 1.}], Offset[{0, 0}, {0.782316, 1.2}], + Offset[{0, 5}, {0.782316, 1.2}], + Offset[{0, 10}, {0.782316, 1.2}], + Offset[{0, 10}, {0.782316, 1.2}]}]}, {EdgeForm[None], FaceForm[Opacity[0]], PolygonBox[{ - Offset[{36., 28.000000000000007`}, {0.641158, 1.2}], - Offset[{36., 10.000000000000007`}, {0.641158, 1.2}], - Offset[{-36., 9.999999999999993}, {0.641158, 1.2}], - Offset[{-36., 27.999999999999993`}, {0.641158, 1.2}]}]}, + Offset[{36., 28.000000000000007`}, {0.782316, 1.2}], + Offset[{36., 10.000000000000007`}, {0.782316, 1.2}], + Offset[{-36., 9.999999999999993}, {0.782316, 1.2}], + Offset[{-36., 27.999999999999993`}, {0.782316, 1.2}]}]}, {GrayLevel[0.5], AbsoluteThickness[1.25], EdgeForm[None]}, {}, InsetBox[ StyleBox[ @@ -70462,7 +70464,7 @@ DzMPxoe5H8YHAPP7Kw8= FrontFaceOpacity->1, BackFaceOpacity->1, Opacity->1, - FontOpacity->1], Offset[{0., 19.}, {0.641158, 1.2}], NCache[ + FontOpacity->1], Offset[{0., 19.}, {0.782316, 1.2}], NCache[ ImageScaled[{Rational[1, 2], Rational[1, 2]}], ImageScaled[{0.5, 0.5}]]]}]}}, AspectRatio->NCache[ @@ -70546,9 +70548,9 @@ DzMPxoe5H8YHAPP7Kw8= 3.8883277800310087`*^9}, {3.8883278711457977`*^9, 3.888327886432271*^9}, { 3.8883279856131144`*^9, 3.8883280629683523`*^9}, 3.888328867689982*^9, 3.8883298215589037`*^9, 3.888330055273203*^9, 3.88833020879858*^9, - 3.888382272086431*^9}, + 3.888382272086431*^9, 3.888386432743689*^9}, CellLabel-> - "Out[1358]=",ExpressionUUID->"22f9251a-c226-48d6-b7bf-c166c2a26e1a"] + "Out[1363]=",ExpressionUUID->"3c92983a-d666-489d-8db1-9c812da37b6b"] }, Open ]], Cell[CellGroupData[{ @@ -70560,14 +70562,226 @@ Cell[BoxData[ png\>\"", ",", "g3"}], "]"}]], "Input", CellChangeTimes->{{3.888328896053699*^9, 3.88832890252108*^9}}, CellLabel-> - "In[1359]:=",ExpressionUUID->"52628336-4c12-4de2-b09c-7f15f4d115a3"], + "In[1364]:=",ExpressionUUID->"52628336-4c12-4de2-b09c-7f15f4d115a3"], Cell[BoxData["\<\"/home/wright/coding/discrete-differentiable-networks/docs/\ margin-trick.png\"\>"], "Output", CellChangeTimes->{3.888328904006467*^9, 3.888329828075815*^9, - 3.888330060827599*^9, 3.888330211812055*^9, 3.888382277208984*^9}, + 3.888330060827599*^9, 3.888330211812055*^9, 3.888382277208984*^9, + 3.8883864366081047`*^9}, CellLabel-> - "Out[1359]=",ExpressionUUID->"beeec97e-48a2-41a6-bf2f-02a116bed0f3"] + "Out[1364]=",ExpressionUUID->"0f08342f-c42b-40f7-ba46-064ea186bf8a"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{ + RowBox[{"Majority", "[", + RowBox[{"x1", ",", "x2", ",", "x3", ",", "x4", ",", "x5"}], "]"}], "//", + "BooleanConvert"}]], "Input", + CellChangeTimes->{{3.888401704351633*^9, 3.888401726852532*^9}, { + 3.888405433938753*^9, 3.888405443267836*^9}, {3.888405593355391*^9, + 3.8884055941013737`*^9}}, + CellLabel-> + "In[1369]:=",ExpressionUUID->"92c8a35e-95da-4e8c-865d-a5b59e5fd64f"], + +Cell[BoxData[ + RowBox[{ + RowBox[{"(", + RowBox[{"x1", "&&", "x2", "&&", "x3"}], ")"}], "||", + RowBox[{"(", + RowBox[{"x1", "&&", "x2", "&&", "x4"}], ")"}], "||", + RowBox[{"(", + RowBox[{"x1", "&&", "x2", "&&", "x5"}], ")"}], "||", + RowBox[{"(", + RowBox[{"x1", "&&", "x3", "&&", "x4"}], ")"}], "||", + RowBox[{"(", + RowBox[{"x1", "&&", "x3", "&&", "x5"}], ")"}], "||", + RowBox[{"(", + RowBox[{"x1", "&&", "x4", "&&", "x5"}], ")"}], "||", + RowBox[{"(", + RowBox[{"x2", "&&", "x3", "&&", "x4"}], ")"}], "||", + RowBox[{"(", + RowBox[{"x2", "&&", "x3", "&&", "x5"}], ")"}], "||", + RowBox[{"(", + RowBox[{"x2", "&&", "x4", "&&", "x5"}], ")"}], "||", + RowBox[{"(", + RowBox[{"x3", "&&", "x4", "&&", "x5"}], ")"}]}]], "Output", + CellChangeTimes->{{3.8884017195411377`*^9, 3.88840172747751*^9}, + 3.88840544384453*^9, 3.88840559488804*^9}, + CellLabel-> + "Out[1369]=",ExpressionUUID->"0b476c45-78a1-48e1-a33a-bdc15feaf5dd"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"Ceiling", "[", + RowBox[{"5", "/", "2"}], "]"}]], "Input", + CellChangeTimes->{{3.888406208318351*^9, 3.888406213468587*^9}}, + CellLabel-> + "In[1371]:=",ExpressionUUID->"0f50aefc-aad3-4872-9d27-5c781f76cb6d"], + +Cell[BoxData["3"], "Output", + CellChangeTimes->{3.888406214038361*^9}, + CellLabel-> + "Out[1371]=",ExpressionUUID->"8ced853a-153c-4db1-a3ae-4a60071ffa21"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"Binomial", "[", + RowBox[{"5", ",", "3"}], "]"}]], "Input", + CellChangeTimes->{{3.888406263965169*^9, 3.8884062757533417`*^9}}, + CellLabel-> + "In[1372]:=",ExpressionUUID->"050c7f7b-e9d5-4378-9bee-efcba2b42dbd"], + +Cell[BoxData["10"], "Output", + CellChangeTimes->{3.888406276482472*^9}, + CellLabel-> + "Out[1372]=",ExpressionUUID->"09d0b2f3-aea5-4d8f-b926-2d780294ef27"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{ + RowBox[{"Majority", "[", + RowBox[{"x1", ",", "x2", ",", "x3"}], "]"}], "//", + "BooleanConvert"}]], "Input", + CellChangeTimes->{3.888406691880209*^9}, + CellLabel-> + "In[1373]:=",ExpressionUUID->"a039ccce-7b90-4937-a0df-e38028840dad"], + +Cell[BoxData[ + RowBox[{ + RowBox[{"(", + RowBox[{"x1", "&&", "x2"}], ")"}], "||", + RowBox[{"(", + RowBox[{"x1", "&&", "x3"}], ")"}], "||", + RowBox[{"(", + RowBox[{"x2", "&&", "x3"}], ")"}]}]], "Output", + CellChangeTimes->{3.888406692268073*^9}, + CellLabel-> + "Out[1373]=",ExpressionUUID->"798c3d95-4f6b-434e-b1ba-4effd8e9309d"] +}, Open ]], + +Cell[CellGroupData[{ + +Cell[BoxData[ + RowBox[{"DiscretePlot", "[", + RowBox[{ + RowBox[{"Binomial", "[", + RowBox[{"n", ",", + RowBox[{"Ceiling", "[", + RowBox[{"n", "/", "2"}], "]"}]}], "]"}], ",", + RowBox[{"{", + RowBox[{"n", ",", "1", ",", "10"}], "}"}]}], "]"}]], "Input", + CellChangeTimes->{{3.888407211894279*^9, 3.888407257506866*^9}}, + CellLabel-> + "In[1375]:=",ExpressionUUID->"d3917ea0-726d-4a49-91a7-4d2c507295a6"], + +Cell[BoxData[ + GraphicsBox[{{ + {RGBColor[0.368417, 0.506779, 0.709798], PointSize[0.012833333333333334`], + AbsoluteThickness[1.6], + TagBox[{ + {RGBColor[0.368417, 0.506779, 0.709798], PointSize[ + 0.012833333333333334`], AbsoluteThickness[1.6], Opacity[0.2], + LineBox[{}, + VertexColors->None]}, + {RGBColor[0.368417, 0.506779, 0.709798], PointSize[ + 0.012833333333333334`], AbsoluteThickness[1.6], Opacity[0.2], + LineBox[{{{1., 1.}, {1., 0}}, {{2., 2.}, {2., 0}}, {{3., 3.}, { + 3., 0}}, {{4., 6.}, {4., 0}}, {{5., 10.}, {5., 0}}, {{6., 20.}, { + 6., 0}}, {{7., 35.}, {7., 0}}, {{8., 70.}, {8., 0}}, {{9., 126.}, { + 9., 0}}, {{10., 252.}, {10., 0}}}, + VertexColors->None]}}, + Annotation[#, "Charting`Private`Tag$8199803#1"]& ]}, + TagBox[ + {RGBColor[0.368417, 0.506779, 0.709798], PointSize[ + 0.012833333333333334`], AbsoluteThickness[1.6], {}, + PointBox[{{1., 1.}, {2., 2.}, {3., 3.}, {4., 6.}, {5., 10.}, {6., + 20.}, {7., 35.}, {8., 70.}, {9., 126.}, {10., 252.}}], {}}, + Annotation[#, "Charting`Private`Tag$8199803#1"]& ]}, {}, {}}, + AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], + Axes->True, + AxesOrigin->{1, 0}, + DisplayFunction->Identity, + FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, + GridLines->{None, None}, + GridLinesStyle->Directive[ + GrayLevel[0.5, 0.4]], + Method->{ + "MessagesHead" -> DiscretePlot, "AxisPadding" -> Scaled[0.02], + "DefaultBoundaryStyle" -> Automatic, + "DefaultGraphicsInteraction" -> { + "Version" -> 1.2, "TrackMousePosition" -> {True, False}, + "Effects" -> { + "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, + "Droplines" -> { + "freeformCursorMode" -> True, + "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> + AbsolutePointSize[6], "DefaultPlotStyle" -> { + Directive[ + RGBColor[0.368417, 0.506779, 0.709798], + AbsoluteThickness[1.6]], + Directive[ + RGBColor[0.880722, 0.611041, 0.142051], + AbsoluteThickness[1.6]], + Directive[ + RGBColor[0.560181, 0.691569, 0.194885], + AbsoluteThickness[1.6]], + Directive[ + RGBColor[0.922526, 0.385626, 0.209179], + AbsoluteThickness[1.6]], + Directive[ + RGBColor[0.528488, 0.470624, 0.701351], + AbsoluteThickness[1.6]], + Directive[ + RGBColor[0.772079, 0.431554, 0.102387], + AbsoluteThickness[1.6]], + Directive[ + RGBColor[0.363898, 0.618501, 0.782349], + AbsoluteThickness[1.6]], + Directive[ + RGBColor[1, 0.75, 0], + AbsoluteThickness[1.6]], + Directive[ + RGBColor[0.647624, 0.37816, 0.614037], + AbsoluteThickness[1.6]], + Directive[ + RGBColor[0.571589, 0.586483, 0.], + AbsoluteThickness[1.6]], + Directive[ + RGBColor[0.915, 0.3325, 0.2125], + AbsoluteThickness[1.6]], + Directive[ + RGBColor[0.40082222609352647`, 0.5220066643438841, 0.85], + AbsoluteThickness[1.6]], + Directive[ + RGBColor[0.9728288904374106, 0.621644452187053, 0.07336199581899142], + AbsoluteThickness[1.6]], + Directive[ + RGBColor[0.736782672705901, 0.358, 0.5030266573755369], + AbsoluteThickness[1.6]], + Directive[ + RGBColor[0.28026441037696703`, 0.715, 0.4292089322474965], + AbsoluteThickness[1.6]]}, "DomainPadding" -> Scaled[0.02], + "PointSizeFunction" -> "SmallPointSize", "RangePadding" -> Scaled[0.05]}, + PlotRange->{{1, 10}, {0, 252.}}, + PlotRangeClipping->True, + PlotRangePadding->{{ + Scaled[0.02], + Scaled[0.02]}, { + Scaled[0.05], + Scaled[0.05]}}, + Ticks->{Automatic, Automatic}]], "Output", + CellChangeTimes->{{3.888407246735523*^9, 3.888407258127921*^9}}, + CellLabel-> + "Out[1375]=",ExpressionUUID->"9c13b1c8-f6b2-4407-8681-339af3e9e9ee"] }, Open ]] }, Open ]] }, Open ]] @@ -70862,15 +71076,35 @@ Cell[3992074, 69848, 5355, 130, 301, "Output",ExpressionUUID->"2546bc19-a586-4c1 Cell[3997444, 69981, 293, 7, 32, "Input",ExpressionUUID->"f5350a92-e0ed-422c-abfe-54ea462b9e0e"], Cell[CellGroupData[{ Cell[3997762, 69992, 5649, 129, 105, "Input",ExpressionUUID->"7055d4a9-6536-4622-a076-e754f640eaa7"], -Cell[4003414, 70123, 5425, 130, 283, "Output",ExpressionUUID->"39e4fac9-4f10-4342-9eeb-b6846deb1396"] +Cell[4003414, 70123, 5425, 130, 260, "Output",ExpressionUUID->"39e4fac9-4f10-4342-9eeb-b6846deb1396"] }, Open ]], Cell[CellGroupData[{ Cell[4008876, 70258, 656, 16, 29, "Input",ExpressionUUID->"8f1d6821-732d-4356-aecb-68dd42194a0c"], -Cell[4009535, 70276, 12209, 274, 262, "Output",ExpressionUUID->"22f9251a-c226-48d6-b7bf-c166c2a26e1a"] +Cell[4009535, 70276, 12319, 276, 262, "Output",ExpressionUUID->"3c92983a-d666-489d-8db1-9c812da37b6b"] +}, Open ]], +Cell[CellGroupData[{ +Cell[4021891, 70557, 318, 7, 29, "Input",ExpressionUUID->"52628336-4c12-4de2-b09c-7f15f4d115a3"], +Cell[4022212, 70566, 355, 6, 47, "Output",ExpressionUUID->"0f08342f-c42b-40f7-ba46-064ea186bf8a"] +}, Open ]], +Cell[CellGroupData[{ +Cell[4022604, 70577, 410, 9, 29, "Input",ExpressionUUID->"92c8a35e-95da-4e8c-865d-a5b59e5fd64f"], +Cell[4023017, 70588, 956, 25, 47, "Output",ExpressionUUID->"0b476c45-78a1-48e1-a33a-bdc15feaf5dd"] +}, Open ]], +Cell[CellGroupData[{ +Cell[4024010, 70618, 233, 5, 29, "Input",ExpressionUUID->"0f50aefc-aad3-4872-9d27-5c781f76cb6d"], +Cell[4024246, 70625, 154, 3, 47, "Output",ExpressionUUID->"8ced853a-153c-4db1-a3ae-4a60071ffa21"] +}, Open ]], +Cell[CellGroupData[{ +Cell[4024437, 70633, 236, 5, 29, "Input",ExpressionUUID->"050c7f7b-e9d5-4378-9bee-efcba2b42dbd"], +Cell[4024676, 70640, 155, 3, 47, "Output",ExpressionUUID->"09d0b2f3-aea5-4d8f-b926-2d780294ef27"] +}, Open ]], +Cell[CellGroupData[{ +Cell[4024868, 70648, 264, 7, 29, "Input",ExpressionUUID->"a039ccce-7b90-4937-a0df-e38028840dad"], +Cell[4025135, 70657, 338, 10, 47, "Output",ExpressionUUID->"798c3d95-4f6b-434e-b1ba-4effd8e9309d"] }, Open ]], Cell[CellGroupData[{ -Cell[4021781, 70555, 318, 7, 29, "Input",ExpressionUUID->"52628336-4c12-4de2-b09c-7f15f4d115a3"], -Cell[4022102, 70564, 328, 5, 47, "Output",ExpressionUUID->"beeec97e-48a2-41a6-bf2f-02a116bed0f3"] +Cell[4025510, 70672, 423, 11, 29, "Input",ExpressionUUID->"d3917ea0-726d-4a49-91a7-4d2c507295a6"], +Cell[4025936, 70685, 3949, 98, 250, "Output",ExpressionUUID->"9c13b1c8-f6b2-4407-8681-339af3e9e9ee"] }, Open ]] }, Open ]] }, Open ]] From f5de13f2a2f5eee917f5fd925b7108a8d2e00e83 Mon Sep 17 00:00:00 2001 From: Ian Wright Date: Wed, 22 Mar 2023 11:39:24 +0000 Subject: [PATCH 064/128] more --- docs/db.tex | 21 +++++++-------------- docs/majority-gates.png | Bin 192547 -> 189478 bytes 2 files changed, 7 insertions(+), 14 deletions(-) diff --git a/docs/db.tex b/docs/db.tex index 1672fc6..4085894 100644 --- a/docs/db.tex +++ b/docs/db.tex @@ -231,7 +231,7 @@ \subsection{Differentiable majority} \begin{figure}[t] \centering \includegraphics[trim=0pt 0pt 0pt 0pt, clip, width=1.0\textwidth]{majority-gates.png} - \caption{{\em Majority.}} + \caption{{\em Differentiable boolean majority.} The boolean majority function for three variables in DNF form is $\operatorname{Maj}(x,y,z) = (x \wedge y) \vee (x \wedge y) \vee (y \wedge z)$. The upper row contains contour plots of $f(x,y,z) = \operatorname{min}(\operatorname{max}(x,y), \operatorname{max}(x,z), \operatorname{max}(y,z))$ for values of $z \in \{0.2, 0.4, 0.6, 0.8\}$. $f$ is differentiable and $\equiv \operatorname{Maj}$ but gradient-sparse (vertical and horizontal contours indicate constancy with respect to an input). Also, the number of terms in $f$ grows exponentially with the number of variables. The lower row contains contour plots of $\partial\!\operatorname{Maj}(x,y,z)$ for the same values of $z$. $\partial\!\operatorname{Maj}$ is differentiable and $\equiv \operatorname{Maj}$ yet gradient-rich (curved contours indicate variability with respect to any inputs). In addition, the number of terms in $\partial\!\operatorname{Maj}$ is constant with respect to the number of variables.} \label{fig:majority-plot} \end{figure} @@ -247,11 +247,11 @@ \subsection{Differentiable majority} \text{,} \end{aligned} \end{equation*} -Interpret each input bit $x_{i}$ as a vote, yes or no, for a binary decision. If the majority of voters are in favour then $\operatorname{Maj}$ outputs 1. The majority function, in the context of predictive model, aggregates multiple bits of weak evidence into a hard decision. Neural network binarization transforms real-valued activation functions into boolean majority \citep{10.5555/3157382.3157557}, which demonstrates their close association. We aim to construct a differentiable analogue of $\operatorname{Maj}$. +Interpret each input bit $x_{i}$ as a vote, yes or no, for a binary decision. If the majority of voters are in favour then $\operatorname{Maj}$ outputs 1. The majority function, in the context of predictive model, therefore aggregates multiple bits of weak evidence into a hard decision. Neural network binarization transforms real-valued activation functions into boolean threshold functions \citep{10.5555/3157382.3157557}, which indicates their close association. We aim to construct a differentiable analogue of $\operatorname{Maj}$. -$\operatorname{Maj}$ for $n$ bits in DNF form is a disjunction of $\binom{n}{k}$ conjunctive clauses of size $k$, where $k=\lceil n/2 \rceil$ and each clause checks if a unique combination of a majority of the $n$ bits are high; e.g. $\operatorname{Maj}(x, y, z) = (x \wedge y) \vee (x \wedge y) \vee (y \wedge z)$. Therefore, we could in principle implement a differentiable analogue of $\operatorname{Maj}$ in terms of $\partial\wedge$ and $\partial\vee$. However, the number of terms grows exponentially; e.g. $n=50$ generates over 100 trillion conjunctive clauses, which is infeasible. In circuit theory there is no known general algorithm for finding the minimal representation of $\operatorname{Maj}$ for arbitrary $n$. +$\operatorname{Maj}$ for $n$ bits in DNF form is a disjunction of $\binom{n}{k}$ conjunctive clauses of size $k$, where $k=\lceil n/2 \rceil$ and each clause checks if a unique combination of a majority of the $n$ bits are high; e.g. $\operatorname{Maj}(x, y, z) = (x \wedge y) \vee (x \wedge y) \vee (y \wedge z)$. Therefore, we could in principle implement a differentiable analogue of $\operatorname{Maj}$ in terms of $\partial\wedge$ and $\partial\vee$. However, the number of terms grows exponentially (e.g. $n=50$ generates over 100 trillion conjunctive clauses, which is infeasible) and there is no known general algorithm for finding the minimal representation of $\operatorname{Maj}$ for arbitrary $n$. -Instead, we observe that if $\operatorname{sort}({\bf x})$ sorts the elements of ${\bf x}$ in ascending order then the `middle' soft-bit is representative. For example, if ${\bf x} = [0.4, 0.9, 0.2]$ then $\operatorname{sort}({\bf x}) = [0.2, 0.4, 0.9]$ and the `middle' bit $x_{2}=0.4$ is low, which is hard-equivalent to $\operatorname{Maj}(0, 1, 0) = 0$. Define the index of the `middle' bit by +Instead, we trade-off time for memory costs. Observe that if the function $\operatorname{sort}({\bf x})$ sorts the elements of ${\bf x}$ in ascending order then the `middle' soft-bit is representative. For example, if ${\bf x} = [0.4, 0.9, 0.2]$ then $\operatorname{sort}({\bf x}) = [0.2, 0.4, 0.9]$ and the `middle' bit $x_{2}=0.4$ is low, which is hard-equivalent to $\operatorname{Maj}(0, 1, 0) = 0$. Define the index of the `middle' bit by \begin{equation*} \begin{aligned} \operatorname{majority-index}: \mathbb{Z}_{>0} \to \mathbb{Z}_{> 0}\\ @@ -259,21 +259,14 @@ \subsection{Differentiable majority} \text{.} \end{aligned} \end{equation*} -Then the differentiable function +Then, applying margin packing, define the differentiable function \begin{equation*} \begin{aligned} \partial\!\operatorname{Maj}: [0,1]^{n} &\to [0,1], \\ - {\bf x} &\mapsto \operatorname{augmented-bit}(\operatorname{sort}({\bf x}), \operatorname{majority-index}({\bf x})) + {\bf x} &\mapsto \operatorname{augmented-bit}(\operatorname{sort}({\bf x}), \operatorname{majority-index}({\bf x}))\text{,} \end{aligned} \end{equation*} -is hard-equivalent to $\operatorname{Maj}({\bf x})$ (see proposition \ref{prop:majority}). Note that $\partial\!\operatorname{Maj}$ is differentiable almost everywhere and gradient-rich (see figure \ref{fig:majority-plot}). - - -TODO: discuss time-complexity of sort. - -We also want to maximise fan-in information where necessary (for backprop error signal) but also minimize it where necessary (e.g. picking a representative bit we want to optimize). Representative bit when we want a vector-wise update; otherwise, min/max. - -TODO: min/max are a degenerate case of sorting/ordering +which is hard-equivalent to $\operatorname{Maj}({\bf x})$ (see proposition \ref{prop:majority}). Note that $\partial\!\operatorname{Maj}$ is differentiable almost everywhere and gradient-rich (see figure \ref{fig:majority-plot}). If $\operatorname{sort}$ is quicksort then the the average time-complexity of $\partial\!\operatorname{Maj}$ is $\mathcal{O}(n\log{}n)$, which is more expensive than $\partial\neg$, $\partial\wedge$, $\partial\vee$ and $\partial\!\Rightarrow$. \subsection{Differentiable integer count} diff --git a/docs/majority-gates.png b/docs/majority-gates.png index 8e72807d0c1996034a1c0640250536f1fafaa6f6..8554006f5ffa6b8c8668c890f341cc5f47c1e42e 100644 GIT binary patch delta 22920 zcmce;c{r8*yFR>{o}$s5Bqei(GDe2dQZmnD$ebZcGIKX6DoLgg%8+@kgrtN*$WX>e z=8Ty#d(ZXky?=Y}_xK&h``^2c&x`^Fmw6(T>C?&bd3$>NwR^ucWFF`Ae?Av%2D z6fRAbF>SskCC)S|&69QG+*+q~!sH>wb&1HpH7RGlC((n01KJ~Mwib4FQ8A%s$x+PA z$@9qrkFN7d6|4N5X)ZNxP0$M@vwz=_`c`3%O+sI_MqhH_T)~}d%Jdxi+t>)BvYPip ztlLW8%6%A8el_u8ZERlWV?+9wSYz!GdLx22{^HI>YnnWRt~|@L?8RPl={|EV%k$&g znFI|C3{;|o6^O=>8+mzGoa5t+c2Cx)yBe6|qG5QVJ#{J!fyax|G zw4WHLr2WB^;b@oOx5*N3yH&i6aC`M)uFu)$z=@{XWx9W_Czm5LFk`rh;I8`k@nd;8 z`-u~{UT0T%S67#6jJUOxm4}zt{BYyx;NB5`+hy_J5(|@kFO>@8m7;A##tuA;{P}cuj5uEpj zxSLP&di%YGzAsBljw8f~ZDGnj`Fn!Fb7%ezcNmTqs)S{@ipK`3@ae{9N6so4I4z2<&JxtSS_Z55C!C9K(h?wIm1Rc~A>_-9S+!N2?VEYtjNJ%@jX+{FuyD?K59 z7Q5tVnVGKy`)&vme(PY7E9E+T!NTHkT%6xzx6Eq}X=$Iy?ox|9kMi48YHDgrJ9ENT zbBO4kx+V3$KRtGTnIk6c{|Jqj6?Shfre5mVUnafpxOLZgt~*E5goyXH6)i0-&CQ_! z8#iuj`>{1mr`UISzOAiour6jdi?~Y9hJEaMd5e)_$D0 z_D0RD=;)Jkx1zM(Rc{;Epym2daBv$>|>&7eruA&Q&J?vvTYW6wo2o##5p|6I#8q}z6Fg9#50Pr$uxXqU*q1@_KpFZv0e>_(?Qt-FjHhbTT3kwT-`c#E{ZS?zq*Ou9hbCM*ViP@M0I!zCc<1~hb zhPoMgK?0{D&$U|}H{nuXKH-*`JG5zNZnQPWv@~5OO{@8ZYEj-sWinT2>Chb!jv8x8)5bT#@2Bf#M11c#z|35o?#sl)G@kBT zk9!DARSM@56cqHSIm8}FcKP#5!NFlPTFl{lwn>bw-Is3}`awZK8H7$+Q_?xQQ`8&@ znVFf-o*mTIZkD?CyCu_5JJn)CO`!W^w}44;SX<~VM#ci0I;|cW3k?%4z7atM?t}*q z9^k9$XP+2W$%*44o}7E8-MMggPLvL6~!6F*8KV`DE}y0lu! zWHx+)kw;r8I)Ozk@|@<&jHblI#CRF+!QtVyRL#RjjvQGt-xfY|gvopGOVmAvBj0ft z)MBON8EVZ%+I2GYvT%bpnd;yAtx8Erb$t1fXhnuco3RN#Q=@&HWcTsCMiKQ%atnpD%Wh377Gl<~VfdxywLJU9_0U7p256Ja+fg zhJ|_MYOY37k$3`vgC)K!3lHcS7_@b~atKVthxC04X7b&~{+7r3RqbZdvmFKnHmYRu zZ3F%|SzoWb;0_{eMv#s~I<414Uz+I_MIwc5;8bcnryCh~sM~V`iL`-vP&I0LtUmU{ z7@LiaO{M9B4W#QIyw=xNOWY>|6xleFKHYT0;1T`o;S)S05>FoL5ccy$Qj+WMmXR3ecZU*iAzN$f zkrRUW@v)>~63P13zj>TQA}M{WjTHJj)_$1r{-HJQ@o`o1jT<*SJw2Cp?IaN- zrIUQ&PMxpESC{{0XJ_B~XXjD_v1Vy$sjZ=Ld3EWU@7;e$B+gs(tT_97#3`u}U$4Hh zstQM0mp$ac-eU=;Zv8{}1^*y^4zmtpD9cqYgP1Usg^5htMh$26u zx2GpfBO-tM_U&`5tR&J!YJ#$EQHLD=W8FwUlvGuJ5#E+7~6+UNYXTXMFHaS_J1r4)a zs*So*q%gVlT+!RpG&huLjyZ4V!o9wm{ciXJN^=a>?u?Ci$I z#%Ir-{g3x4D=8_dsc|I~UmJ~n@?`kLeiG@c>Hkc3A7YuXt^eocije*9*E7WUf4{DO zr9{*Jd7T^`m;V3tSbIDp*J!7t3_x9BTkB%I%^uPqb5zh%TkMIk1fYr=T#?Cd!C zdV4?KO*|8nuATDG-`_tYWAru^-LJmBYxDwal9Jf?FLo`dAyH9=$h%v2A6QvgyjmwG z7^3+4Qs?(%<;ZW)Q2Meozdz6<>t)1PnS2nK9 z1x0sdk(e=l?P!>$#c6EZDSoL#B~H5iXv4O+p?5cN;P$extPjbp(;SuG@W=7R%=EOl zW7}6;2N@2D%FElEWo##FT%D_j$D5p-oS2xH@bK`0f`Z`ShU!r6YfM=O#htp2+chOI z37Lk?-jWWcUf`cv2|s=M^rs+}p|LSXJG&90zaIffDIzN?KCBA0cX4oO1dLuPa?sX2 zmDGN}&A(iZd3mb$<5S72=g*(#7Z4czmLYNB{dH8Z-#kXL3lhy6Hf#W5y405YJUQ8V zX0Q%FS?jN+V^uh^Elbf7CQZqLI(0b?)`TnHZCq(!465x zmh-8suhEo-XR*t`z0%Us@;Gt(79M_nm5;P~Ii>=P_ZgIO^YV(^C*#x(3#APYUzCuL z@IMZWp&l!hT>XiTjxI*b;f2qvk+CrbdnK6qR7GWF9-j$& zNZ8=t2s&wE;OEbuNWMJrG_PO3#(K0~o8l~=>C%4`7N(PBB*tzJF!S^IbVWf_M7338 zVDLqG_s|l7 zx4#WtxpIZlG;Lis^F*5BYY6yf=f2x_?~Y2X(b9-3?B21%D!J~-vD5hOzv3St_vmDw zH+;Ss8B4(U^|0vlW9*1>a+CSTJG^YAXU?1{TU*M=zSSD-##@}r8}yx)j?OULDOX_7 zHfX3QJ}fNB=h2>!yu3dvi!;|)37^1i-qQGOr1Ly^VG)rn!4bRH>Re4tyPuu96-MYW zF-3-j(VKiSW0#H@F)noCEj&-w0lvZln{3Tt9oKS=`ihGf_#U96`}i*yyDdl;i&IEX z6ZPatrb&r7J3BiEht=^x>Z$GhYlU8jQEU@82Kr8HuwtLO{su-3rcdW8zsB zF?%u@bqg!V7t6}aNUUEqJB9AaFxmFH2^W_5>C^qdkn@EdCGO6yuCw?$Lv=Bq(rHwc zc*O8yht}-8F3b1VH@Hu9EiU}A1k}m5uI1B7JxP{Zoz>S?<4+1`a`!$tbG2ZUvK~XRIqZw7+Z|wH#0Y9&ABq)>HPfpb2eF@wpR}N zsKqZG)?Dw}io`y8^s~R8OvXW=l&16NyMToNceG2ruDSiu)zHwO_I@rYOF0NT*?<&< zC|6gHlQs|hf$-{&R41Mu5BYIWyN7?Ezdv^<R_x$yc_6G-y|te$1)dLP*QV z#I9y)r>KRSVa2wxu&}UWTXWQY2^JyrXhZz{D+$DYk$-!8dzNt_R{}s^+WG?ayj{ox z4a4F93gXzs#qq)(SK30o2m#|4Qx~-Yvp;zpVAv@CAAyD+em);RKfSC|mJd20&BQa*!RrowGF9uTd#H<5T<@;ujP><>G}`RH zJ(U7-@A@H!a`|*|ay#A=46W{uZxeedNVitKw`68`Vj?a)yi$OlpWiBY`N07hBkn7a z``2xXZR(=Qv$aA*84v$tdjU7i95(G|falMsgzYg+Q#StJ|lF>gsd7Yx0hc{0^k~$)23SJ_+Y; zD_cJ+tEBSun>ROJy?T{>X?e1Y@~Lk|&X~UQNz1(_b8@vWSkB(G1A!5E5zNO}bn~-f z6)i0-1B<+Cqk8_jh2peW_hPqx~klUb+0gC6;M9C zY3r^%NOO(Le<#2BJQXuR4zFnt^I4s1&juw*CroZBbT-o?vaUXT z`n2Pv-N#EBVTH~;w3^6fa3g96iaO zHY2q)H5Te!xvP&`3v3$*Y6d>VYoCSgoH2<$wW_&d=}RE{v^LivFL9) z!7D9$))P1GU|Tnf(j77L`Qty$C+_+lq0UJgc!9>@{(4bEbzL2+u$7{d(*&wjY;3H5 zaJU4(>BWl|U0p?K^5XpbDL|>zYtG({I6H|Q%B<3hBQ`||(A=+d?2)R_$&Cc%Fw(V!J)&M6rcY#gk zNhf*#J9i#;$oS6v)-^RX%_9atN_hRM2m~Fpb=Uq2IgNYwy-s=f@ZnhaNzbl{jCI3! zX-|3b7!}QFY`RF4%9(UOJtXq)K`DOfov$1|-O1W3?J=CoD0s zFN{~)mC-Nl7ol^#w{QK3bI&`Og9lFzSW}g(r5P7yPoH;74qh)J8WtCa;sHp-U57Qo zBae7}DvPq2D*`p-^2_NW7H>Nv|4}h98H84Y-1-+M87o^`Of)^H3!(?$rH zWxu`0Qc$}m-E~9o(CNFo#=D9NKm(w1F-fbf;kJ(*JH{sGm(!JSZ2;vIZI#+A<7j*c(6k>-{fD`|%+xE41zaT;A9T~7g) z$6~Uwrm9q8_ASF;-9X2O>#N4g$_NQH)Ym`Uc{$15@odXj8kyZZC}Q81En9Fyb)P>k zpln7fkXS@onjLy3Utix>!*;E#PC_qb zuLlkzr_*t(;ay`LuQG~?iv0Z*`l^D!4|L-^0|Z}bzUw!EB0OdIbNvW0_f0=m>YCQO zr`{laKuZJ$sJf)O-+a1Ec12(Tn&6&oksHg;@X!NVlgXQDB&DQiL*nDjYKaJeI-FZp z))KdI^!$2hI_aTrUX_fVQn^Sv49~*!|I|nuyT{@8PnW=+YfYk=m zXUE3IMw(Mv31lUCe`;(6c&c@9EZ6qrM{KrxVf*C?rHY})IA&R80It>0Q1bY3B%_yS zg7(=q#97Zsgl&*d7QOI!A$}Q+4;H|_DJigg8Vn42^gWuW4?B7#eV;!Z0_T)x`3Y>s z7?`lq%QhFma|M2GY&>@G;4^I^MUCNz-pkjooqFD_qQ`A3VfyDLA#%ytnQiah;eml` zfI<5D`Y6G80ifd2NE2~#ME9P!YP#DRyg?5^dOX{V&ZS+hsON!x1!?W{OXb&8#=W^6qBYunD5;E6Gugy;G#Ll@wlt&{Oh-X zAOZraKLh6O4ry+P-@>|DgNE_%{CxeFFOJ=B7uDrfE9BJHHcS4sw6O47=-mpQ6-_(y zXX3L?4UP+VK{5#I)t(;z0~m*>qoSh1D(;i>dkb84pula*P0?l?s{X2nwe|Hj z*Gg2ll-1R3Z_$TukW%V?|7>_zUyz?4O^oEI=0fjXwyqyP7X5j5oT^{FI#i!!RtA>+ z_X)SLJ<{^er<`9HhMO7~3`1xt0x(ETO$E;V{P{DnzFLTPJ8Eq{eNa(EAViUZXT;RV zV+wTa;H$8-@^>=yZ?0s$e?P*bKrGFsMMmlaZe(SRgXmfOR2{D|vZw%*368*+; z1ys55;o;9-w>CdiKQ8?@%pnhyww0x20kOUY9GLv#g=vXf-N%oIxw&nLm4!dZKD6RC z<5P0iwY9XQ+{WI3cEDOKE-#l6>#|~EVn>hWBJL13Gqbb&B9>cchGy{$@8-3kcRGBm$1Exk22A`0&!!d5ZTdi{8;1MgV?dVy2}^Ns zaEK5hGvL0!kmu*-Zlk8AYwX?Lbxi@&!o$&u+PulVr5JDL3AVRgwFDylZwo92*|?K*4!_`YuF`k3iwbEs;WI zPJoQ3PJIw6TS@S;qtmAB2{pCw({uoYGRPhH2vFb+u_yG; zo}xx}tkWHV{@wM?w*;IcNIwMNde8bY0XWE=@bT_$me1Ob;0oTnIWE53f{!c&HJWd& z{5l0v-Mh=ZHvLXiLuj5W?^QI1v~yd({Lw?_)Ac}NOt&;w%XHB ztAuY?gcBmZKv$vB9)R^#2qiYxy{eageoN?4t>^EJW(ZY?=)~&2_Aa?{yjt_-~&$x1$U(FLa*}{ z7Z(0S1w)QAKq^Jo4m7ziJy1J1IEW8N7b(9rduLpoC=CiBmyFDh&d%i;BK!zopriWo z+$b=&4n991VB4mmvI@5KvT!x#3Fa*qu4iUtwIBY-_i5n5P!ZSARWGll&mo6Pu8lG> zFnoLKIfF&*e(PCa*Zkt<)-PLGV$JH}IyySiJ+FHqM$l`?tt}*`q}WF6{~q)-H1y+| zzHM*h^=KK@bLY(0HHeu4mrZG_Qy+IbE_ka!lQocda-++v&*uEsC6cVi)Ipjc))RV* zrc+?+0*8?*z)jsGXP8l9hkx7Lk$4E3m6g^&cU)Xtz~s$`<9V^;@N7U^SmE&=N_thMfuqD8ICRC4Zoo#isLXH=vf^$$dc|G~!TLpt{+ zdV6~Z29k5_p#-33KqfmIe1L(&X!X~6;l__Zt_Kbr0Oh>atS$!^#_Yt8Wt4I3m~g88 zsKI@(v8ore;>K%vOY1gpkcVJa-2JWLk#o_F-GKV)k=6er`Y zMHrrI1Y-kYN0AI1sO|Bg{QLI^F;mnl)CAw&#lj{rXe?pZ6*=s?-W;QmA=b`&3Mjw1 zf9WmAY9Ak;wY6nuXa^Jm3M}u*L2vz^zkbO}&(DHxBfrF&XRO~hxsH$zSQRSidtv6N z-q+U`?qEN`u2ffVWJDO{-+Kqzr^cbZ93W5dN@F6IYIN=y{YBfl>S}YjsHLa;yu5({ z6l=lT*PwXE*sLw96ynZq@nPJ&7*0tWU=*G_d4l#I_vZ7X_}ZNr7pl8MMQn6*+6D$s zqN3U}4Mi50e5xOFl4qxSPtTVjceM1%Uc5tyjE@mxDr9USj!2DzVffm_j}wP(4&48j zSUX7u2dEV{7A>ngVx1_<#NoMV6L(9Fv}M%;Wc7iep@OwZG;XQVr)HHO(XS$-Kn$4H zT>{b%xcKqT&M{)s#*MCfysQ638`)e6+#ge$JjI)5)0Fh15@0%*cjsXtbfwnI81~AZ z(wf!JF}*hYwHHz=BJnNK9@yaXCMMTt1lXj5ZPRp?=EsfM_sROa@$u~j3HbUH1fZa33U}HzCrK5S5ZX~92*mo2Fg3Hf^txX09YL5a%o})+s^rZ*U0f(! zXkcnv)S{x4*9A-=bCUmazBvkG_7@7|=!MNA8EBg9gK(q9Y%0_FFnbn$&e6X!oI^hiL;_ z-lp)=21bk8$&(S~*zGvlkQ)zn)Dm?6+15*nin^klBIwca9mh_hpLX3VxEs<yf0`?a}ByLhElUQrCTnq5wHLWltNS?F(9ZdRwvk-^Kup#u}I_ zlnJ!4E(ne;9`-x`@JdldCWM;njI6{E$l)0(jn=}<4sUDDgqvn-MZ17Zh>whH#Xi1y z^X7nz7m)DYv4ghy)kC9m~4b`yP2c%b|6W?B#*p~6wIz1#!( zi2PR-0!F9RjFG%`MyM^|ox?TA)h-TEx_qnW{Ux*%M}l8XOjA z*3SBCaL|Go36IhI890=~AENl1B4{ALH(yEe0p_0UDiWcgs6o$;`hO^hs;{fFHU>{> zW?c=>4TT&gBbd4I+Ql_z5* zVr^|r_TN|K;IBLF*3-ytjBU{05)u-U{w31NR;HENT`pf%R8<{#?K3~d+}R9xR2%u; zDNi>|%Nih(aPEE^7#u8j<=1BK#TJNom+LEVj=$H4J9n>u3)M=aByyOuxY*GPLx`$z z?t(JI#>Tc-VuuE;i^mFygZMjP0y!Dwxx{rOL3o4k{@*#D!qjyQ&po6zISrydY*=6K z_+gi;SKF@(K%R5ZoLdB|Ih$up@P!R`>3g2x5&0rWXLv5!EX4ef zz5T_D!xZj^Q4rmCi+ieKv_vx>i;(!sXhn{FkQQ;e&{LI{m-~TagfyK`UGVJLvzEVU z9+jrSyb`AQkM}c3`9qZZb#Ds3z* zgdr`ZsK>)#(p7xzevp^5m6a<>YSWMB><~4RwRmf*kap3%En@2c`5rxbgiM`ZRr}S? z@Zl1@iM5DH00vZ(&k3B3@p+0`ON+ zQGxCgE3Kcd6Br=nKEWTZr0g57)7P$IR^k>^*E$XD$poz}FYgGV5Y^ct(S_GFmw6Wi z$hvFvsE1(Z2@=tLp7VL`0k>(y)U^y1rVq9sr-z^%#HCz5hnblf zV|X5smlqYqyj*zy{{8ajl}=A-8o{f#FkO6N!Uc;L=r0R>dUA#8QELYWZ=~48x;HD9 z12y5(wTMPI2hvs?zNcxYh|;;MB1>K_=)U4@Z)NrJO5YiOf%f2UrQYs~{ty$u*SwyN zi;jxQGAwvO|2NU9#VnXNKK;R+vxI*(7Ai$_J)EI_n=03XSA~T_bF6%i2Z#JLZEtV9 zH7?xvHcBx4Pscmo6U#*dP|m@nz&aH%(M^B)qm7YuA7_Xn$n`{*>t8`Vm3hv*X!(2Q zFm^u8@vW#FpDQ&MrE;jN2lzivcj^6&O>=q1>3<~u>Ix&^n1czM=n$o3bc|YSVqlTb zDd^o>)|8H`n?(uj9m&JOLF;-%@e6SBMJgnv zFW+shPRaIv=Xra5U z;GfV|7Zet@x?kJ~!LStN5b||8k`g39w3ApgS-%y7j~`AS(M_k{zyB>@Eq>VEMzpnc zcEaE&Wb|?veApfFgqJZf#yD|cI)7t9!IAv@`4wdpAXhzF^jv6gNl8hW#~%v>ze%xc znrUfqRu*c-C0IKC0;A(IMx_?Cs%BEJH{ASQHf^gPKO_BD?yyg^oz3iUBP>Nde#@7j z9M*mL5-om7ig0Yp#Ydwv4lnVN*n_tr&A_=b0~kbkCul>w@Q(GlRx`@~@Ckh0pXAK` z<$M(zLlTbA1(G3&OZzNb23s^XK90kQ#zVw!WdWoGr4SYGdPj!p0=MMO9Xq5kRp0nXKGWEp1q~oy_=gIMnrL2TAJSa?f=L1gg+Fk{LjDr zZ&MWUuPf@me}3?P8>;sF@88`9hT(s_;B@#OeLO!B1(_n4o;(I6OUmLu&KTs1dR#-NWj#j=PhQYG@OrOQY>5YG)pDh~4{bgRe zfODSt2>!OzE)pz~*Ei0=7Y0r^Fa29vn?b1YJUI9B;n4ffW^K}rPZ$~+Ds*TC6Tk@= zN4foj3U@8SBS&?wyG%4CD}&x&2O|tV+ik4v7(AtrrJdUIlT*hDB-d|DJmE^g`z6_3 zpYWZ3>p>BHe&d%wiz@Yw?l^_6fm`LtWt?_H<0?nMJYTGc3#hH@II3eJiF<)E-=6zHw<+TsmSf}Wgh<= zklVc`23JUL?=d*xy~k$Cj2gxdpX4uc!Bb#|6R?Lp(~ zI@Z?s`SUP}1TZMJhEGn{QOIMY%d8U+6g6z?j=eu8CQPZ#Y!5{X|FP0w zMC*MQeWJfVCl?n!>}$d7tSc-u=&I1!U*1mPC47AYQ_-a@E-pIuLKX@HxcXdEb1wil z!6sIjZ@vL;dqY*1{?7zW*5NM=4Go}4zI@R!eRbi(M)rM2FI@lbPrO5oR3L*LTiUgG zR!C6rq3#GewVu4|aapFN(G-tbSVTmX0Ep_>rKK`7xK zzO&pQ(=4qZ=eP34CwyXbG~w?RaL=KUFhN8Tx52}q5ygwTRzz4B4p2pM^n;G`6vp3(gBD_v0AyfF%%4(JQ!^!s zUF}lTVt4I7{=S&)38a{Dxb6eiR%X=wgL9Xpg@vbat`r!&k*?Boe)sp!4n&$w?{30o zH8njp@%!BQ=8C14S8+-TcSDhu>{)1O`_X36)PXCeT;n;#As>MSvwiW$m<25WZ#l{Xt|{!s|nu_Dw|sTv}fEsrADlvXJ6IM zBS$jeIC;2U=wtdQ;g%QW$n{kPv#onTbkk^1dI5jweva3UA$VBye9LAnSmD)P)SdPM+36@mg?Sn%){(9bf0odb090FzR3 z6Iif4jbNGwA|d}78yVdrv-=O6?`IE5#r2>A^7G{;z&&hWY>XB^p(=l6Fvgk8t_fa> znwnb4=r|2HNtGl$IQr>jg<+Ltmm=0yfXH4goFVa8eyOV)ZAr5v%*~&>WT7F~;R^}~ z&@iZXdI~$GB3CFc@f#@~y$c7sTf1HuM8Ti~G9As$&E4JaEGq9|0)s+yu&A6duLVT} zFCQgW`t<_3hK7YfY)kywSRY5>4G8eN@{;%A~Q9o3CaX_St&SkELGq|fa?z5!=$id*gD8Ws5T-r3}VgI$e4!m z88%98b=nluzut2hkE!d%0rau3+GzI9#}oR&l1|nY*T@98 z4fE6Ipz_xc4p?#Ya*7<_S>hS}>9kz;&;#_<+y`rnngOxH1}zB+v5JyXI@&lz4yAMF zG~4nanr8-TEq>l4!50}l)QaA`1s%th?Tq`8u%JR99AN7#!MZ_!f$nx%UjAOtJm?gJ zF}dPE-!G6QQ-wW*-{AzLm}MmC>5SLTJ$}%;Llj@a=2;VdglU<98vA6p@k3Rrra??x zT>U#I@Egc5oC4=hp!Gj0ER5kKxcPZwoi|@^P(a^;z9Ev|Fdu3JBx!b-=y%cZ>W^e* z`yp+CatN!H^jXN&;md-l53-gn;iriVkDmb)EVh~vKOktpfdnxY`~XEsLD@(B&CcgO z1E)AdIELR16hVV>4vUJQ%7iI$bWOudfX{=)A3A`zz0bM4(g>wwzU8&{gH#v`gaO5f zK06lHBbr9A#IH)ywvw#F2LWhyG84kL1E6?^goY-*jkuN!Qs3BfnBgDZVidbgCpAUY z8^Ph!f(_E5Dg6nW&vS8_li`Oo`-OW>*4E#OuQ@CZ6e~B%NK2>d=ctkSN>nfnRUYTY zSEpHyY8f(nG?9AvzzbrlC+-%b1HGm%=>y4Rc=0BNhR(t{Ot@Z%$vZ`=u*jnbc>8jP zt}-Zr!=dd2>pp_D%v4z%=>cOuJ~kGB3Tlte3d>#OvzU)DwwxRx7HVK2!*}lynE62i zOltA6u>p{Pw^LKoZ+xVbj27__J2!UH-C8Q-)UNd)6VP%qrgYptJ^h%X6{F%eEap0o>QinlL8fHQ2HTAXdOl1A)8!W zKsH>&p)qT|BTdP0_@NCYi$Z`MXu>`PUc{~99|4DwL|0EpyoTs<3GKaGZ@IsSZ9RpN zK+1I_7ExaY3T^!t78WimYiVn@AKe1UNPpK)gsP(uT>l>go(fx2)3mp>krfo|R_|KO zrA+TA)k=FwF%-_CBXux&Q?rEDcW6vf?8J!@Jx$C4S`T{%>Du2?0!iXjuR(hg5Fe` z#LbN~-@U}!W38p30b`sx8Edb_a~Vb^atm0UsIKHNpU7%3#qH%_ZjbmxIE)Qs911t# z%KS6Yk``JMi`K;#KIMP_8JR=jN?28l0s{VYtUd=&ffaPQfTzb`tc6GmosK21A*p>7 zyoe$NQ%36B4a*K79uCq7HK1923fVRGnjFP2z|Jnu7Y=_qOses+o(ogYRnltvgXPu^ zvSWV8-)j(GWNgAOS6Y+^ zVM`m5mWEUcPgXm{kfj6eVRwAlH-Pwd&W!TX5m*xkBJRtj>D1g|6*+dSH~Zc|Wkp5q zq{(Z?sOvr3dKc~^@$%RJBPaM7h|9At5XV^tii@r(4@q$J+r8bP|G;T>A8 zkI)tOUwo2KyXG8OjRHfo8%1oYwLHBM=T=LP47)kKjDSGUwR^~6I?tE=tFG`?Pc%|4)}pr!+d0uaHnEqe=i;c7z#@8|03k(RV(e22mM*dvVh2lR13 za~tQswGNSIF&8i&48J9(a>SeB;=zG|p#74<0s@y{*Tn&Xc7olK>K@PJUUlbO3U@@K1$)u1d|Obp~Bg-CypQAFXQzRXk*%;$nFqMVES~Q zV`e|}8~6zx8he0E?E05Or7%kx{elIFUJesXcm$kA~OjselYr@ChFoDySp$F1@ID8FeM&&vT#jbGU_Ff$wC z1J)ivVzR{F5DCd zjT$TA#TZp&KLn_z>btivlfX>o4xET@I|2F*e}WMq^;|zpWMgb&m0uDt9+*rZ5Fn$V zHw5gwV0mPwVmx}qwBYPx6yaa}{T1s+C_}b8VB|oKV&KzR_}fF=uelu%u+!-z86cRx zKV!qst6{JgoH?APm(>CI5+-p$*GqFw($|Y`5dgfa;*MjDnbz|6gWMt_GpK4nHBSIX z5iF>X1b7@)@lBWW48j2@l5JujC{pNT@+?p~fSC7Rr|kK@TjL$bjdZlMZI4le@;o*_ z)t!a~nd0zghZH2fd_}WO?YZn$o*|DH!)W~+vyB#+Zvn1E!Ow=_Lh+aYFU7|DH_=-t zkyGhc|HH@8CGXZsB)e+4Y8fYwiYkEkg7C55_;FZRh1BF0pUTa=Qd6K9uM0Z>fs$eT z{q#?#E{4y@lsO2;z1G&46F^*X6rDW)#NRf>RVm($$Z)}!Jy0Sroo)ToA^<_$vLVWf zr-XtjJhjV|$^RBd*pNOQP(Mf{AY!gw&HVGB^yF1EnJ_q$F~9?QjE1VigCf>(Zl&my zXhEVWPStj~H)T|$u+s=}YXAi;1W8a=dme5`YlCnZ0LD5R*TEx>#N z-(njreg*H#WEY^;a-E~#$-pV~Mw9dBVL3YE;%*`@FK6 zi*HOReltdTdbG$p*<{Z@$~k#&*9z*^Ge@tLg<}qHvBv57f8d(n`nTy(Jv1iJ2$)ss zw;D}(hy{pgRaI5|L)M@+2$|WrIbY0CBm9THL|sMdp^TwfTl?R=o8dDpPcXaFJdTOU zuqnVqi=3R?gmPj+f++7>gE2nzOA&R-RTDYw9Ub-_#|$$mW0)A`39xC1GZ_;*@RtcL zsy+Rki2sVZRb!nwmi_x39UZ&SxhE(AEe^Nk9j-PB&ifSl&HV<(+g_r(K(YpJ1T%R% z2vM{HvV_mVqmYm*XpO`ld*cvfzmw%o07x&8xbW-OFN*o+Ty-U-ix}N!ZpoRFoQwgm z=-VY_5l^3D1Sk~$g+Fd-)^5(Z>1&GI#@|=3PpdqlFGZ2Vj2DgnS|Vv*F11{sT*UVTOLzuCw?@d! zegm)6HmG|fYdVQ*x|FuXDVJFHW2d+!qvb)#G*rE^QqRs?r#vLwjNiSY7zEV{q{+&rRhE)%%fiwo45M-sj!8^f(d5;PFyFd$>+s>j z6pdHxR&8@ij4BEohUOYfvt6t_QK#UEP)rbJo4Ihp^FkjYl1I|jz(UlOix4OD8_-OrY_^j5%}5} zMVSM+|DFao-I3kzeEeY00O71p2PuC%7}-V}E4Ni7H!V~qCyou1Z`V@_1$ zu!voU7LV;7W2T;K$SL*sb5nJ@B)Z3ekPU5}e3e*OMsLY58UK_fOzB{N%Ffod5GO>y zn0UR1Li~XyOFg&vJFxN>$Thk~SS-*!(6F+qZWQYVAY+yG$R)F1xq7t|CRRlbzWKvr zoq?%vL#=EgU2mYzXu4nAWud;cz+1*XcY`t5TzDlv30CdHymo@Zb}=?{%Q(?X9W5{` zc!K0j;`)H6n$T&&w4*|(JgC_TX`fgc;bxD9F&8m|3d|W=jZ6f#LyXs~6lerbFcKGM z^7gCi>@2~dSW$+?HHP~RxCrr!VioB>oT+rycb7&S)ngRU7*$v<)KpaZ&kWGsuT;1c zOmDIik^hYKl$I-uXF~55ZUzA4!7@iMF))CEXxlrYKyy?fB_YE#_Qf!sqyWR%L5h{L zfc{5EM=`MMit?FzyD(i!b+WypbX$4Ql`rSi)j=Fg!oG)6bYI|ZDd!R-H`FO~lF>*h zY&_3UT*uhp@}@;gc}P!jPNs70e7u35_OB(vKfM!X@Cz%(POC>%&7g{{H!cdvSMhp|Eu5 zHMl}@60Mi@&gms1J)vrR z7K&8lK$q_M=hqgyse>%7M-uau@K0EWhR>fVhSA&$Hw^euvD{I^5-`27wrJ}gq^vV4 z40v}T*ab9Yl!+|EH6n`~R7t5e;~ffQ^k;11j!(GQ!1$rIa3okv-rjhUnG2IJS;j;m z91}_$k1@Yia4x+?f8;;Q^h+EbwfKo*NJhgD&B^_}z0du8_^^MNMiBpa*A#hb_UHsU zbqb|EU)E({P8|ZERC@B?9jY_+ZaA3N6A z+8PJ4uGo@;CR)=Ii-Ex+7?REQPYJ zf}}Zi?YGX>t#@H|veVinA>InGdhV8BC|p{!ny9y!+6Q66gm9y$e+dk(uir{xMKYpM z=#lA!k;PKw(U7*!wSf>0YZWwmC(T3f1eEMJoPaZx$2bHEQObKhbEPV}wRpO1t_|r7 zkNm(x6>5fBm0AoanjS{>4<&$3eTZ2WYu|do(tiKjw{wZybJmD8j2h%G!-x9-$aGvO2(XfR zec?~y(#DX4TkrobQVYw3Nj>(Go}T`*RXzwdx1Hi%vllV6lPlwGsl(5Bgr73XrEiI_ zQS@VAxfB}kaKB`^z*`J`)&v&7&1m-4!#SXgU79OXp6+cz9#S~Tqu ztd{+9SgFc0w%w2f0&m_G=K5E%8LMXHxeKJz_DTst9-cjc*()2HL8y=qf`X3d66us~ z(SN*%#T1w=+$=64!p7ddMh_%AkI%htcGRzuYd-8nj)5Quk-t_TO2+%O&mkyY)Bd@m z)c_r;ugmI z^`h?B9V!}5PR=Xax14Ki|7vcLcbtG;>gPFaeubx4 z;L&K1w8yYjB6tsAjQ!1(J^S=J0qvfTReFZsSaoWR4aOWFPIQ^ z+>VLqgxd)^8@zBBg2TYeI1-(p>DxDO&EvroU;90+z$CpOpnHz>RLYiBE#M&t%geCB z0K5HYX?clT!ps}`()O;Rt8lmAp(7;tD;yjgoIW#!x4DCDKe^UB0Gb>R17Koge0{Oe z0yNfiX90Hy%(51imJ}hox0|7|x;oH1)A*6*xP=y~wrlx7XfWtEP=uoMxT0w5?9`y4MD_gJoGd0rPe1JH zt--oR$0B3K%n=f(bmKB)vhw2tSroYVAiZG(fp!-xp#xe^6XENNqnSofs&9SG$S;JYeLoMY^`%;08asZ=TeQwFW*&=u~4 zmlFW@6(5hl;v{Q;>-F#pXNEqR9JYQHRP)ss)xY3tCwqt7{&y4#j=MQFGVakT%|)yu z9ZywPNup-%==(IyK04W_)$!a{m-H61i}HU@vCiH>JFNe+bzNyDwL(=sJ3c-_%)8-h z!m!yetgEVq@x(=X(oxxBm(!lU z)7Cn-j&xlk6lkxrReEMX)kanK zzH`UPKvA~y>y=!>Hf6{~N)B|(?KbqMW3FSQcNAIqibcHWrxcrp;%jHxy1KfAA8D9h z(fzD9)qkSlaev3FdNm;U{H6+I z@%EFP3!}Yz6SFN2t&TBVFco#foj5C5%j$shkJA1A;qyF^Pzar1bYS4>%9O8Ez&TOb z3PmDQ=*J?Uq!!pyOy|#s&@?66g32H3cav!#hT6I%&i9XmPR!7t#6p{rv0pHsunHR% z9N4wX>rLDvk73iKL13d)KAgd7H>RWt=Q7+D8fJO9R?d2k{kIqBnD}m}ztzKz?(PMN zYm*lI@a*|>_S?Ip%szg(pFJh|-OwrZ%NHr0Qco#4(|0Ish>8lITcSXzj^glyhqv#u zL}aLa;(hxxb<#Q1ww9Jm2}O>I_WSfl$dZW#9@A+K@ynDJ2YfazPK6K&m$y;mGy7aoi@h{KQQkl4I7#l8gEe~%toz#RZ-^yb#WX=)}9YU;pTc>SJ z8qKXUZ7h~u)RNUfSzZhR0&0EV)5soK1=xyDN_pms5v((74H3M@t*Lufr7 zoiGva1r&t-?`sNWWOQ`pG7an^cq`5y(*G#F6E11~Ww;T;>U%Z!8QSc+0A?2g9#$j>@FP|V#dAK>f6-c_qbvU#;83E4pKlU)~1 zJG9zP9iSWYdbd3Vx#b|T_uajgt)zecxW0)`m}F~5xHdLH+BGCt7djj@)PWuIZd)(~ zMxi#Mrg(<6%o7pgPj@tJ23qroL-y)K3@AmF?ZZ#?*X6XIa;=Ljlgs6sgsbpX{EluU z2$Dd{CHNhOBRUsARTy;_zV>s#fYi!3zp${ZOBq%`N`Sc_9R!k7X!qF#j&CF}^{y-y z!yCVYJ@DQPz0>8K90>gLCmSh=YkO|*Km8yCaxO5qSRLhph@J`LRNL*OpL~iHBWUvI zbxKj8f91200pjT7hw()+Ppzwt^9jV);Jx2e{rwl?Z0+n=ViWsJDsyQoxSEcpJ0TC; zkU(9U$~>rXPzCXLS4&Gvp#aX?Gn`3pw1O&~+9z-r|0Hi+zWH24I#H9n22{c`x@>de zdPvK1QVfk7*>q&;v>)x;sEp8Jp8@9wIqU2{TJJaZ-p})T-LLz;?(4el=lO?i&-%CB=c8zi zo9l|FM-I;_FF zWaUy+i89p=UEbME1!J9V^h}TZr{~L(yr&C$sSoE`?A=hwlsC(pyqlpt{q3>yt<5IZ z!k6A=InX$C#d&UF@Hmm^&6j$@_QsvQ_I>eH9X7mMLUdDaKXXtD53GH>?NaIc7Lnq# zeaydnDY9Oe@yQG`(?qWNFi6Plk&so8kyMbD8~MVrbUTRRP7nn}Q4qzZ>vxGhic?85 zlvOF4@6+A-;PxbVTWya5=~y?L`}d2iXM2n;_GDi9YIv5l=v!cZ@kI3z_W`4Gdu|Et z^@&i`m|Gc2|NBvFt3-o&&~M-MTW_02%Da13l&{SUUKl>`+)v^=r3c0L`89S94%;J- z!<_;)zMs?1{CFi^m{~kkm|6G@%?Uw5J+{s>Y$*3H75!qZ_ccalTV@htXzh;=bnD-b z=w;e^SdZMyrV?1rX;kk!Dzff+ka^9p_l&pFBisoU5t&J*F4)lRJ@wnpsl z@J+A#`o*#*GGoakuu$OoxZ0E1*w-hsc(1WZ$jVNCenLq)SLtuA;8WtavY4h7D3OH+y)H#gj!Mv&#{-?UNc}#M*x8bpzS-wbFYJKRVKt>4p^*6$J(!J96aR zR98`a;HH~aO);V+B_+zr$~|wdeYc%ksD5$rzzE0c_avj~KT)ODvennzDtfbImR=2V zv2)mF)$RNx`=zlhEn_k8vD%w+?14NFGgLk|9uP01TW0?w*($Fk)~Nq&u>QkX%6UUg^INK zp0>gHb}WZ*x0X7H{5t(1PqPdd7=uyu~zDIZt% zai_FMuk2N?f0+~V?m}Nhc}U1f9i2~WD}UWjdU`IryG4%tY2Wa8$Hv5q z&hl3qtMvE&RGr({$YNV5U;8@|{_Mr$jgPZUPj5ukH{09LMEzr$W5rednVqG$@%ghJ z;k&YjE%e%ScYIu2N3r`5@6n(!#hXDi`F`1Tha`R$JmOgITNO-Nl+?HWaw2?9jN$u* z*loAtrFV@l@$VC25L9v;_qqhn9St!^D1_E;VAu6@bJde$2jj@{XdUrWl;0Q>RvLSG;O2VAMoGg@ZXZn)K)Iy`|K1X z5Hsdyb#P6^@61a*3NKP=@_KUp(154F@@0>B#!G}d>(luK<#~oyswaB8cJ8DmEiNw7 z)6-wqZul-!#K0Typ{v4A@s5v{j*dl{SDyOb-HKNygoY+-}>PA+`fIAi<9$bbG+@vi{?KTZSv#=1gJLP)RZLK2e}M1Q0>@KIRZmZ8lCg=2 zVYhHgvOekK{K6T3Z+bfgu>sPX`YH1vr9jLiu-xNdfhO;0y?y%3Bxx0+FGbHsje0UW| z!#{rp1qK>soJqer_2b^Xdm?{h;^VzXKXLi^to$f+KAU|mK8nRg_Se{$aizbX&edRC zm6y_^+qWrKs*m+nZme%3VL>i*QsCd%0 zcui;r!NbF|bEl(?O_{3YBWNW z-?GhDetzVzwH-p-`sbyeI+P>H8^Cz<`K4eBBO+6qhBtM)-T`&$V}=4jOFsh{)oAW) zpHI{FzWR6Ce6^;zc`}s2Hh@uWyOEk&^&JKtk}4n5cwQPGK4MW&eSg6H*EgdWlQZx! z0gOF|kjZe%d82=BQ!~7N{dysJuNn<+!iUDjAFu60RrloP=HA!flXnv54Y;4PBXBH$ zU^I|*VhE7s(SD4ESN$T(Q)V@d&MNC*9YXX-$z-7a6A zo1dq=@%#7hr%(6#?GMLau)im4W*4Wrn3}CO z^Cr9g=O(kXw6(X>(lUjp*W6*qIsJm3s)nwHV)}i6GryAu|FpOth>!|R1TM?y7!&|C%=1c)jSaWmp&yPeR_2$hQIaryY z`Q`EP@dzH3Z)fM^kC-U%rX~dk2g`f>3=0WqNIe-fIXM|Of&<;>zamNs2ny2VV_M_C zFWT6$m3L$_c9PM+;ru@JQNOPehlRrR1j9l@DM>y)K8R$${daJ)Kan!?^YbaHdU}#u zUc8|XK%!&{C2EnlNLDy)o{RzRS))?~aM8qR`ceTFsJpqi> zM(56Trx5GQ>uWxK`^leX_TRYDt5fsLkmOZAs(5XBb+OAeD=TYiYD&>_%ndPHsO-PK zx?JJ6Vw7Xi)7<FMzG1$pne)R+g2ZQ&eprPpSr`}?g>M+=plHS?bd0}c`cBmd{H^U_Vd0=4R zix;EsLzttYq6#0H%F=GzHu@>qEXU%ol$4aCEw;6{<1kkcmwFVgsC-z@*b@{nVxps^WmfEF-TwU4)Z`@UlNpkl zeIrXv**@dm6-k^#2Rpk391*uTHTpb}=b?A+%3l2OrS!_LyQ~Kk4jo!vUfw;qjVq?s z6E7<(t9*x#C^+3cJ!@-gElG!-m4CTxGyn5r)P7z6KNHcVJa*oO#QmI2P5GR=cP|e` zsFc2aYi4R%T3o#J@8A0R%1mu-t*NFc2WQY2Dc7!ni96!&e2a=loLY7+L!GkUKj~}J z=NK3mw6wJ3+46#K4@fWvQap2z`3`~+rq*E2m*iN@9$5n z&fc-6;@cj6)br9&_D>obCTGr_<76ejq7xD_W(po2A+Vi*MA0SDh=R5>ty-Jeohk>} zLQmY|O#kga`7O)L+WHAS{gEpivM%D1k`GQgs;a8$=-i|7G0U^rGCj~;;*qpJI?efe z_91!s51dZr*Z(|y`t(e9O@fSbSa`VoqLr~-M+aRFg9oMV9lh?qao74jV^cAoSYNZ^9s-8I8^A*rc+&27i_MjoszO0x2f*|&Eu zIWH3@I)3~J3J5r_ID5g`d!|W4ODhvclT_f+`CvZv_50UxF&cdM!bguD&Aqtt;XdyV zow8D6w)R9hS6K;(NR_tfp0_)9?sO&;XA@3pYrpqd9IOq^AjsdiHBuvB+1tS20XnKx zD+|?%MZ4Z0I~*$h6FWiDc70?5E`cId#_?Dyd-3*#Q+ZD|V&3xHud$qKCV!6%~x#`_u16c8K! z+7nB&Lo--64vv-46e1x$o<;OC$_8 zx8LNqT9n^C5*-=YiWFH;!x`Dj;=3-M;$$x-;OK~My4n9F{j~PQ7}FM8ksR7= zJ?uuFQj?r(@9;daOzIyW_nz#?d;k7@TwEMJ&FGc!4ib)!(U~*gHuSa>@m>ey!1lS_ z2{N*;R^H_^I~W)p%}Oe8{*L78(a_LwpzbgzdWNxQI(pkf$v?&-v7YyX`y?mZ4p6XRSOUc5_61qT;nn>gwv~kG#C( zPsh4Vc1Un>1`5kpK1y40*=-uVb;U|VT%7T5?)5(tA3l80O;MiedHem-C!PF3T^}4S zAt50o9@1y*h{xzBet!OPVq+Zu$S~8W_Kw&Sy_dKhu0+P3yH;`rsN%-dwk@!U9W$(MLD|%Eti~?7^=GG)vHuDtZRZ!imCXo z%0HJOuUrx%$?vTQQ<$n^XbuqKQ?cW-lr+%LCKbLV+UX!A-vc!i zRb5?X&+U1r_yF{=j@>WJ_5mFInfMyzw4U>Ce%DIotpjK5pB|oUd0knl5ix5?2lQohmuj2DL<&{3Y$Eg;XRnGqd;`!+;pY)bWnG zhi!I~1CYo)Vkj`O#W4OnLxqI9yL+T}<^8z0;4M|?!lHdwu{BuZPub5~9fByVQ z%0(WUZqHJ7D2@D{W7+hon(E6?UHEA~*P0+Y${Qif`v;|795IZyb8xV++QGuYmw#b( zX_ll{bjf_grz78yffSdRsCCElJn|OMfn*ZlAR_;(iX3S%JcllCCN25;tEt_35MkR| zJ32qoC9^Qud3xZ{pYuRhGAj9ng@(Vp!%!o5GbCG?79C4a6iDJW?`f6|n_|VNZy;~E z$DF$gu+p}7-@cCkVp&=4_fH}*TAOGCa-BVUmSmi3b+dU6r`-e>kU+>BIB+0zNZmQW zPogK+`Y7o>&!a)yd)kzVrNQab@vEG=_mMUx|C=@zbCsHG@^)zj9QIlKkTca?B1H;g zm$^%Rdl#c0U>N!AokmM1o-53}SnKKHBC>Au+qH z8nH0(mB^IL%xx&i&zGtfa=3Xa_~3was&xoSYI8_S9fduF7sukY|#6Em{| zWikta_T!}T$;OqbC*RRbGy>VGm=gytO%GJ8)C4kbPRIRiji>Kfke~ zV^@A$ak2cR_E)==?o-jRTN&}wDdrzgF>s=$=al#Q{rJuu>Ng)`0mQnId4A4%0e(C% z2|U5h#g+WNCA)kk~Po=Ep_*o^3_#e7x&xs{8=X=2yRy4Gay_C z1_m@2Z$8WXm3l9kq5*Ge9=uh;5 z-g0W=JAJwx_hKc-e)RTlzkSrlX3%tdC5gjeJ{na7hmh@s4{0C z@;D{RUUciYi+01JFVhCKs_B4n1zLfQ{K(0E^IeR-1(abC&xeM`u}t;YbI~<^0v~EU$qh=_Es?#b!rQPgM%Px z(UrS&3%{&soOv`T6ahW zV&e{ zd|h7=x4txMd;PkCFP*D7?g!ofl`B_Hojf_-^Y$;`06)`7yo`-^8STC9?R|xq=`~k$ z`Yw~L#x5!`_W35`(WuzivwC_YGEw!wGW6(cf&KdrbRI3d@KxdJWXGF}X3K_Bj-Nz? zg z{|k^CSQN!WhvE|w&=|=R;^KO@6Ru8K-%}gfwu^L+M@8AGEfs%t(7Y6>+RWJaOOB-q zA7ARlt~W)OdTgFEto_I<6aH}a=9;YqLiWym=wU*9yk%kT~Azq~X@nb6xv6n7gLf(04{+76kN(7Xf z5y(>W|&4Wl059^17 zT;yL3Zb?c>iI{iXbOV`&W^?g5K^6x`M~@_%HEVCf`#HB_K3&$(2u?|{L=TMcdvPkU zPC0oJ@j$FDxdYb#*WRJ$lDr?8K8&;oHkwrRiTHGB_(Norz^Uv17SdJsXq-G*0uni3 zD|1G8qEjb�?!yNO-%syn=-WM zP!{LrY+|)9xm}*I1dD-70PyW8bly2CG)#+vn7;t#jfW=%^h31YdVG9*TsS4^sx$>D&p0VE@}2$VKX;@0?(UKo4IFDpQNebEhlLds7Mdd% zS8(FLmaBMx@RtL$d%N&73K7xh4fUa+#!iyzpTCS<~&^YZ0+u!hsq)9>EB zL)3PZUOAxSWKZ+kDw^lsTp_-}EZ-pNzm-`)$$KuKOWHYTZA(%-5#I@-AIc&mzAe<$`}z3n?Ck^Z-1$4!I<&sF z0@csnVbW^xyNZNwQpyNY9nNkR8jtk!binDd%OiKw()hd1T)w$hF2)uLMhU>X0%<#t zi=S@u%D!5WH2_Y4gx8zvqE_O#p zRkyFFz$q#)u=WAJ7AoU;8mZabdhg%Ix8IljG=~JkA#*{RSYLhc;DP?L;}`oXk`0+k zYSw#ob#%B7UFM6ZS9I&YQC@zyetd|Yd?9`SBCfq3z{9;58LcV}6YE8wM~vH`9HjF{HRle?wQGwN)zq|%GA;CADF`XV(| zJ3%@fhyqu8_3~xZ4mGeT9nT+ZOFGw5x&H50mRZs2>MGDct^J@p%04s{|9|8A5rZIX z?CtD){}Bs9^76%C_qT4{isbDe?645Jwq^DAz)>-=95fRv|Nfy<=89NA+epVQE$_RO z8xf%!AAja+RbT0U14ZGGuuH~mQC-8Ce(&YE5n!O^q(k5W+nbtxp>J1NU)p!}q&)+J zQA6adw%ez)v^bP~i`Dmb7P+PjG!s0T_aE$Ir42*^d%U0#|1L5)DG8F$VXxo)Ks22{ ze!Ow*TLA05bRyM&X2FRPY6e9_<%Ssh`O3QDC@N^D5NW&+}qG|5ef^_J&MA@8Q21p zir#$3h=J|5-p%!*eN$QeeNH+o3aY!25crG5ncYzU%x_6 z{J^c^^c9zu5*6O_b*jB$dG+f>ZNfF>&uAo6LGpLl84nb5dZlDuRv8^04&yxZ8W#>| z2YN)=<7YFPX7G_8yl-_@wJt|HZTR3fFGYAzMjmKP?mCR*pYu@$D!r{y# z4UwQw26;4f4oKbqG1mIbeaYu|AT4VyJJGD#n+&jfb?1^#qo$ZdFl6KH+hJ2Fm z*b-y%^|gJ|rJmAvqe>gj^@hkdyYD#ee$n^VeJJSJGZYn$XV0EdZrW6QN>oc^W(}R- zxl+$`&~$(Y`JTb|Zu_(B+&NSkq!(FL5mzTtj)XZEebm@7DKT+n;_Cq&gC?r8yrpni zKy+=+Ab|aU{P+>`@L`gY_k*Y}6FXN>YLv6p79e;a1t5$^e*UD|yctQ`4jGKw(2&+?*1MR~Z`jWSAkkllW0Wk$XaR)>Xc7jSERMs6sHCkF^qFnqHQg(4c-+S*8uL3_?Q z;}C=r55srwG_hbE&a7%Mp+|nCp#h|_MZL2G{bOB2RWp9B+RB@ZF7iN9W3f;N+Lo7H zE7zz<#ah=RE7^O>Pz)TfnH*{hPry36~vN2#sPSvzB1^+f4r9Fp#WJ8J1kn zpMS~Lmd%Zx(qUXv%~L!~B-vhqE+yYHkXIq1zNYVqi{1DnalmFterv0(jm-}*q`+d3 zCoG7!SEm-n+fg-tXozx%ka_1-C{LtavMzC+{=I2hJG-l(06`XPY0=dhKZ_DHkVBi)s-46>3ub`n)ZQbGvPPn>SjXUB+YKmk;z4PbC6eRT%Cz^6< z_iZ6j?%o~4zj$_wgzsd_WjniJkUc;=Y@()~K(zz_uBbrlmYBcm-$AEO{rc53G|R-y zJd)A|DgbH$=`oJhx#z~GMM9k>yZ&KqZmRC7WXoT89hpM8^Bo8IQ|C~5zGs;^Ub^HD zY>!GM{w#PGJ8kRDw~Sod_h~s=YTL$Si<22SW3T9Nk#Yd|5w;bd%9k%+5>N)vk0FAI zg|WzY^lHZ0*^Usfk`=B1tx;*_dmjDJa`PD@*Tae{?pLnJbO;_34dQP5-$*$!3_Qy3 zeMV6&+L~fT&8SGwh_G{-%G?|rO{4SR1gRexg?*BZ zIuqJC=ZS`4D*BSo=#B;lZ5*tzPRRHqtA+>sjVkMtol@Kpj&O)@afy~I9XOB)8ki)0 zb<#L1)y$79|C1CI--5xB+IDQOK8^`R)%Wjbm+ReohhVzc&(GiRs=6;1AK1M=VcRw~ z5z-B)OGM`Sj+nDs?f^xJYwZkCS6FGgd~3vnjG#!Mr?i?HhDl96mb@ZMrf*yt%q0(1 z{YTkBexSVJK2+BrQs4La{d>NH2k(&)rM<-3?9d63$ep65eEGtA_ij3iR_FGLXMRu( zHANLNv*9WYnL6DYNi*-UZ1XVpJuxQ&of6&+$|__u^70h0JiRvYWh;q{n)D@0-o1`v zL$5IcD9bwC3GH|VWShN2IHkv|R~a~kctiPF#fW;JwSO{y#~n`HW;EyE4R-)_C!rNv zp}ciJxIi?9ls8ZqM}Pjja45~iY3RDc-P>T%rVSd|h!rarfEuz0AjC+M8r%2w8Uy8b zD01#8m;Rtj$$OGP&eKE0eqGl5M{1e>1u@9#{6 z_dfu}Et`%wIQ&Gd2}wSN{)D%DWOaESGAIXHymT=DhBge}t zC^*>LOPE!7&2EZVK;PNsQ+3t_N4FO?6p+7=-htV}lXU^^wvXzFpqDaugY9GBA(UA{ zYf)D?q#U-BelM@$#A&*6GBWnh%!sYYit_UZ?hc#;BhI7j3yJTo|Jrr1oUBx;K}VP8 z<5shT^+z*4%YuyMF8uVmnF|!0TU889iZL-M@F!^T+)2A(`nRH5QSFhnQM|?%q35h@ z7RWm9ydQzOBj-Q@eG|IP-BJ$y)##tbS8r&hU6;tp{ayX!D;inkEpBDsxa4FmR@Ook zW$4T{K|(CFSNydt7i&i)maDa%elmPw2rk~xW!jH3hL)tJrl#4{W?AO-B%;RP#z=Y2 zeSCGU(DNM?Hc}E2@hZeRSQx-#*PhbAXT8My@+zzzJ=}Wf5KzGFK6A&xLf=^KzlIKN z1ppe&X?1ne=T9O>y@RuJe+ zxhf4Fr2&{ADj@-E5?QeO(b-9%`a&o9y-nVyh?5fk(XI$Nw~83J1wh%zh>A`@B?6;T zqhDet+_C+R18?a>W%L{U=#$=H=}n`fqrbi~kt)jsu^m_P0zHx7yc%=LVORy?_<_6w z#5!TJ`4o|U=H|_tal-rd?Za)ZcGc7z{n=K%(~;x`Fg~Iv-7L%;qW;?F?*Tpp?5MQ~Uo%?2ALzGWpY zR3lnSOG_Jh(&OVhafYvWaZc#3D+v&pds%a6FFq4y&N5gNY3kmQp}p%@fB)loO5x~< zzy40w0=D1IlGHDcJD5fM{s9pG=#rBXw=0was3WC^6U6lL;*5;FLe!svx)J8wLw2hm zM%$NLUk-=1*wStj`qto5n7K>!OcD$TS}`Kt>#HSC!UcPPWpK_KqV|7BT}w@U-`bjYZKl_nu(k%V zX*4nf&IUA?X`an7Tr9%ig0piM01B9-S>QlWj$f`0UI`m9JW@f+o-&eiP{k3*>sSX% z`*~nkmwve+yMs=r_~=Z>iF0`>xdhBjpq#u@>LfOz*E{(rPfz`$qDSKjqoslsY4IYQwrQ+h^^NMR1pdA5DDhmr=XnZIH z^jnyp?{W3&;{3c>nU_0!nNrm!;;nOe>2zUwl-r`t5uj!bn+K_*tLxX=UYNnEk6*rg z`RY|!Qt{ij?U{$wXqK-dG~?oSk#Y-(Lc=sV5jdG{M?<=djHDoe=@qt(Hh`b17Z8f_ z29)Mc@ta8t|8eI1FP0}V0r+M|AgTEfAL5EAN~#T|L@mtCjOt7 z=>NmJ-~5vJf4gVWr_Y^Bx_=*BUfN8+mdcw@8)Pb}yQ!&(eClBK ztGmawvNBV-UqGPI#qHmMQ?DcQex21pderU)7Zq5-_|5L^lDO452QgvddD8MzvWMx- zDQ)d$oKgkPF+Efc4-XIEQFP>FUIM<8#-^qNQ>UTojYemy1=6A~p6V?p$i7|leIztD>gtMJ z%qJk*OC~O_tT^Aly!sS6&cio1^#ql!Ond=L0fuoHxyQl52pAvYp*xz3tMI@H zHn<=$LpPPNc^}+%Rnoe8bN3v|OmQk;`Gt{D5Cd@gz!|)E-Djkcbws5WkOzW=x6&gd z$unmjHvfPFh4}JP{~25wzWyaNVctp>NWSROn3$LrlG)TeH6wWc!JiQ)3N)X2sgX`r z9qeYEDDvGsEkX6~dDv+z-^%iGi27c?7lDk)ZD+|Gy5JJXOuS6nx|`)` zlX1a$ee@D67A@)we5oSBK=ab(!!(Q z`BGbFaAYJpE>5uA1l@UjAu{=yiWW#Jn&kD*Di8(0Zgg>Qad~y*Ceiy+e;>*1+O@OA zi?}(E?3#1USn}g1P8?Wuf$(G4a0RW~hsb>++X7JxcgO{YguLTNF*;El9}pzBa4dUNFR0{w%=99YhLQvdQGj7>wnyB73~Jo zV-lD@(%^$`Z1u+F+pGA}5V;Pz&rPx}}Ti->4nZ^B<>Ci?$(mo>Dt3vzSau3m*`@*TU%)!YK3&Ib_*qhAyI0|a-X z(lRpcVWfe&0{IpS9N`1MS!ybdyZ{0QCsl8KAGm$Q+b_5gomS8)=*?Oq6x2(1n7|W; za4X5UPoQ&$pK@q$kW>W`g`79Kx;i^e_AtJ$tu?RkJp?XIM&=62Y@G5EN^VIV!!R9BH@&wR;NT&s7tpbkPH{?gZ1i7xV=4n6M=dp*o& za4L8T?%AXIXW_sR-qM1(-A~^Z7Xu#JqAx)grEqyTxFYKG^!Ss(pz}N!1q)3|A~=zx zI5-kP!$_bEY@?*4qmMCd66_s$OC|fVm5mBP zviF=c+(I;)+cJj}bAP zlKN2+H7nAzAx&)}oq1&}AtiOX&q?US%h(W$vBT<)y#x`?d5CF)Y>G0yW0lKW>MO<^ zh|(g!F7bllzDmMn#PlU6ledB$&s8qLI;CH*OiqPbjmeiY0@&c!eo;1$K zsZWSn0;mnIiSiFN6JxHA#eT0V*HqrQVZjoPE1*KZl2{GUb+;&AF}e zk2pI!PY7mcfidubrH^>?<_)A;5h0;SlPkz-r1L)tgz`71)I%-F{q+xPsns_C_sm2l8rMdJFmygU%~sCtx+pG7$WLNIxxto;j)Fg$ZDDjV;m0ri`d^wQ^)1eVW5 zGLV3qA}u}*;JWuN|M_m|?n*&HG3OkA{3@~Uc-Vc*6?h~mNc72;y}{~x$tJZp6#`Q& z2KQi9wHT8l*N7$4kG;LhFhNqcUh(ia{flwCtorDi#sD?X@N(~Ys%?Ma#2r%<9icId zAA8h$bOBx6AQb||R_!xd$jmD&7?l%LKa1HXYf}Hn2tXvZ%20q9v8Uxy^R%iC*b0iL z>Y7;_rdIEXH+``a|F<~hY-95vIy#VYrV%E1FegeRK~4!(Q#UualP9;5wsR?bLF%uq z-9plNqy+j*S|MSBEZ;+5rvS@K1#MlCZJ73ug2Hr19;Mt8?mSTKNon6#bbzmxy#GwF zh7x?lku=R{L@tR0*=z892!>p)PeFoF_FttT0gYx`R#r4S!g~V0vkBbEG?r6=msUKf!YK9Q`pkLdXmVK4!FSMMQZLBde2V-9s zX z*FMPq=mOeG_^&oq{p}-MZEfd!uJsWVsxB^*$oDc>yC;n1riU0>dwP2E*0uemxz!q( z)`G@L?e`6>#`pwMCD01}_}(Hm`60|eY@T#SrWqw_0&eo>R40x!we zQz@5{s({ph=O4OuWAO786Ci5&0!xDM;QaEE{GA^0LPum@C>WGCfNJrfQ6}qn1GHvJ z5*q1!D$*~EMS2UIm^H#PZ;&hI&@ATgd_O#hj2svotR9*zy*hPQ;=bu`ViK7W;6tdp zAN|JYte5=J^ioA?vX5r|Av-)23yVnnyW9~#M{nos8+Nw7bjbqE1xiJrbE1s109z=0 zMf>tOEt4>Cqv6k5Jt{Fiev7r#clolWCM~JIIR@s2+WKlVDCyUBU7qf%BvuwLl77$5 zS_iqEu_3@##7)_LdvWlmlToHgDQ2DU)$W7Y5PUQ%*HWP6D$C}WW47))ueKqY@hk?A-H}h>s*P!?bLNl2Ptv4;3rP8qEjFy;${a=KP?5U zNK;b5EiS!@ylHQO5vTSW$;5rh21Yf{rKB{eoQ@91ah9i2n%i2TFaoK%Keb(+nfOt7 zAfg_#6`I$tmzIuyxf+b=p35W4-q=w)WyuR)1WCnSvxC?LnWf`u6}128T7g<-r!>K| zU{2BiCuUNNiJd(mDe2YEC#xz*0|#tTs^N7PY-zJ6)HcD508~d=1!yI+a=dygIf{H> zheLa4f%*sS0HbILF)^S<8i!^jrKCpWxM74KB`N!vT65_7>TIK-(UT9^y-z^_^2`e9 zGbqudFOiu743LZDE_MG$XNZ+8j|XO>!v)qe}7LonT`ScM^^(u zjVEW}8<8d(G&%X;P2QZ05q7K9idF9$-7f{F%p_~ph1B?IuIO`2~hj~{9MQFnh2Bb-O z1C6ZhY5Q=Ak7-(oLHfs`h)8(&EYGDicU?7vSi6}N78aHu?euio@oO87kV_ET&YeXz zwY2BFa9oj+DQ`qXFjNp44{nCj!5nTk*MigY4DbRY_fY@k8^nbL1$W6@cxWsFxv@@v z=xdQ*LuJ z%9eX&!Z>*C6Q_?Z0F&4r4>0Wiy_^-Q!DryN=mne*dz@Fn*Z&v#)u$%qiUXT5Xjq+w z0VE_B$A0G7aXL;JW9#?bZ?Cz+)(Hh>d79V*!)5UF-rCjTpT&E}7Cv^e$g*J+Jv9JtJP9`NMA9iTo=N z4ndW>3c8n`fg#qUc6(V}b4+?Rd2}<1dFRgW2xL}sPlMCw6al|yO7R~XMxZQ0WB z-58TJNP5hqVS*NOTZkoy7}%}>mS^WNkb;3qv=iV!tJpjyGR%q&(r1cV9^;MF_&t1e zrnjfHRsVK!kxQq6vI+zkq6gje?>~b$0SEf-F>Lz_Jng$hRl_7Lhj9(c@l&9 zK?_(pM76%YF3FRACY|Zqt<%9ejY{PKV+bW86jdD-O!uvUW0va3OEBht7#)T8<$X3E z;{M`~g2-hWwrNboPu`j3OKAV&DXhN#{J(4EXx=D4O&f!B1~mop05iMr@kx|(`TUs( zG?VNZfZ0nZQUix$3kgdU+sW(j5nxX~J@!Ef|7>9b`pyOE^Mtm_EUIs&7tNf9mW>mw zWx_RcDmGV)(l;|X{B9(>*84V!$Z@>BWDDk+>|eFIbZH$GylL`&*LdG)Z$!+eN?H~pDUB;fmHD%zC%C4ePiNhA}cUiHBZwPx^ z+=Z@B{5ExrY|)|iZh1`q3{c^KOOfId5(d+^Z`)RLrxd<7t=a{_0MW@M--_nRzGjXh zY*21zWmrLhG;H~#mloy!P+NxOtRDS#C3;G02mU^2`@Ar7{YgDzvXjaIb3t)eyC4Rh z>_OgLF2SFs7G}0%;x8azbJA{ZW+ArFyx!WHnrFGWdeIAlsVj`+-pMNut8~hL+Bro1 z7UhJgvGHe@;nE}RmA?Wj)E2OL)`Ehk1^Yd@EVnzSVJe!p)L5j>x*qggHep$Lu#%$P z`(?p3$pDYJ_R7aqWQQ2AUyN zCAh^2E-}h=vmf)j+Fw~AK-!w}ij>*z2y+Ln&hMI^n??&QJPjsj^XAR{N9pH-&N@`& zw2{}|diGVCFf;h0xrOo5Ngp4K4^?`M>I9m>%S~?U;^f_JoP27$O93}9S(wKkingZN z>1)-0#*=DmkNpcL&lk?JP9Vh?Ph0+g+fIVYaBeJg^m}V-WX%k}CYpz7>(617O`2k2 zFtNy;AXVA@X=|}%3P}YPA@}i{#t8<=7AM%nn9^EoJ9d5R=#b~1za< zNqgoMrO1ytu)T=p-^hrqB9}wl>c&Kfz961`QF#rpxUC7-PcV>h)|RMZm;n~#Qxh@y zkIseVQcV&$*W;B`3s!c_k|l*W3grg?3BZbXZ|GT~uRhBo1;3yu{8 zNW6>s^<{7ZZp)ymGY0kbf-OEB^(5c$9wXCMfk+LELsR?*qyF{@VM6C5ExwbNQ&31~ zx44z6uWuQwVG!327`+lKk4bNEWZ(0FhK2@@JAj_A{YQ}uM9!6Y?T}`V-nP87B(JDQ zS%ov_=0#Z2S;>Zv>#vfS=00%{6930I*MMEGFtkZszvGdd>!aq)VIc52q#;FRNSYj` zyi*xFz7%1;Ub*~}qs&ipp3JO#&!$iXk7`$^H)t0m+}tMfp@rgc!H}U1Ds{ps&GbA} zI_uLm&26mo-VslqJ)@|?(5?R~VY>?#uJ>2nq-7O`6X`Koe?#YFMjlFx)=7o7L>qWY7(8CLRzI z({;E-_ff#D%gZs0j9y1_2yn9k z`?*U{%s5xoUtR-GIaqy$TcB0B1eY6wPFs6qGVDDsUxF8+H{*;wF34gdVF@?{PC;A< zdgT%yp83Oi??*cAE5eiF1}3b&s<86#Fpy|Z)Zxhz4{|<%?SU*ACvLrogk`$1RngP7 z_31HVb_y~|*Gf#~x^sLBiQjM!dL#L=pCIojtS})r_srnJV=!sEww{db+f{I7y4z&P z#K4Y^pZ^cMLl}~Wr-s;AD|!$|s^Pl-?-Y%Y6md5+)IA^^tfjcrh$c>O!78V6L^LNe zbB*-+t(F$sV$Bfpkds{y+{ZL48*xvEkGctQcu$85$QSSN|-jdaY_&_nq5r!Vwkw&_i=_h0t_=j(GSf8;y*Be_H;d! z1r;8Bf&RRBxH@oK+@l@)j_3BNK$YGit7eI(7`zES`{CO+Hm&l71<&k?1jZWF46amD znUdn-4|e17zK3$XY5_@)Ml*7eFl1~5Y5^KaSy>sDZRnhU$hd$yOiu7h_^z*dBSWkc z>npDOVprqU?!NXkSOnDq8(1qyBhq6)Sa^~nKeZqmOB{t*@}M{06wh0FxJ>5VxBFx- zt*nq0^M)8Ny@x5kc95YjMe`b-3E@sM*^LMJkopG)Z>>?YR(CJsMw<%)jJ^I&b)6kp zun)sLh81_hqes0@h@;ef8w?!p-fg%>uOeFU$PK(OO)kc53d%Hhorgm?b1w$iczWHo z+ZdwGUib3ClN?yq@7(ZKA~(*^;5gPCx6)flxL&;Iw>W7sB9%x6d_2vr zY8vtG=tl5PiYmZy);IpuBIXS)d3elEN6(}5OsIA{s1_`JJKvXCqF+na_E*N3_POXs zj}EQ{++IGUTts|7csQ#^YAhfJ3^A>S0Is|kK4d9MR-KBr!fs!^_$6&%*2^pT zw7*Ux9|{FnJ#Ea~EV;#tB=24s!E*(gISATTdpC}!XfUMG+*DO>IGoe}ucfKf@EPRRRhT z6MqAJWc}*`*$DbAYlPznjKfVLplE9-7H}T8*w~&oUK=1iBYlRZWcVgFXx}EvD%9Ms zYp>o&Fz|N77f74Eae23&pS0`n^@6(aclQ0vJ}_Y8Kn=`$7Zn!Pj!MVyF*Pu#th&wg z9)@Pd$r<(}m8n_m#y)pugBWqj&LQH)%p4v_gkIIIbhxSN-Udjk+MR+ON+q}^nG0X^ z=F-s{N)8Df*xw_(dww2}ztL47CGFa;Z*&`0k{3oWE%ZD6H4clsLGA>*+@-KT^^uX0 z7yR_(#I?>o`ai0;?m#N{|9^^9wv436A&Tr#X2dDQNdw7@icaKq&6M$ka3t!MJyJ4~ zRo99LWn^ckq;Qj!O4;Q1I`^ON{rN+P<9N>Vd5_mhVXA_cM`7zxL&GyH!j4%eK=b{< zcX`j9KR;}}*1F;}@f^q!oktv$5Skgx-!GnNbJFw|)TMk7dj(0jX|(9EU3^Nyd;q0y z-XJfc)4>OQgFtyal{=trNK=K*8CH}}R0Rmr7tSc|Cu>N(`X!hOSs@D7qdSMT#d57? zaN8(5s8N8)e4m@cd)$2*m#31Z?-45B7Yyz%Ti;^n0E+MJ^SeP5qHYYbyzL=9FO02g zZf0-tmnqiQ(?g*I--{9+(sVr2RRrND?Wu$H?@pR7rwWU4qwh~i;2jZ`= z=QQL;pmsz=eC;d9ytAfr@F!ao@bHfnKAZR5>itnGw@T%ohqs<@MV z;OFa0Vp#Q{lry<=4;rGXDqSQ&K|0AH`TC6Ql%U;$4WJOJNb#vCbHdtM3&dT3?kCuW zflT>E!eLqq{X!q{{OMCybj3BFpmo4hE6-`uc-SWttL(5cBPsBE)@1ni_dxw~s;%9x z3#v7D82R+Std4x)oeA;*(t>TIz@VUSA1jeBRzLhBs$|?@pn#EqXI0hU?%`3>&H~ge zj>zzeORq$3(THCk#&K7{E%E+mAqA)({DhE#2j_hG!9rrHN7-T0MMH{eraodGiD!vR zVS*4`lZ5UXwI|UP7&byDNOl;Nptf~xPlZ=_BRjjPvtw%qyP(3g`eFNeVp16b6mxh} zW1iP81c2wfxSCH?XhwvMI}MY5D};Bi33#Az?POSb9IZb$H|^P{6HZYlvuTBtrwMQF z_dH8;l0G3N=hE%OeynJ1RxVq0x@lMOqi3e65k_B6^*SBkL*HFz?>MzI*x;kQC9X+9 zft`Kz<4&!9pOI$vdrL_^Q&%EG>jBu*zNc@hp}Yl%^T!C0%~Yt$$==RD8DXgw6T%&r zUi%!c^FK?X0LH*?h+iKqc2c42Oa%+i2;G8=1>h_kv~;Y1a7PU+o0puX=XE>bg4rtw zg2^sF-zH*YRT`%k%W2$voU9Q~4KP~n75G+0cdq71eP1V~?;&<0GP1RyflQ=EMe()1 z>e)5b(Vn8ook1lfG(qG{aJz2{hhXMQbNs_&yD-W0(6rH{(RWya>_O`?m=)E}f1L{p zp9A>NU_ODv2!TNu9lyP~(vV8!OEHm5h4ObgkP$~v;I|H=M}4A|FQ`vwB6wf9nqbJn z97L464zuu}vE5qFbwncXtg6eYt>oAy^@zXI`ExLt<9C^4nPQqzipSL931R8g3jf*3 zzNA^ojtzm;b_#;*LrX<0tJ+%r%ifTwQ}_f0=UX+ub?G$IRNOxIXlY!=JmIh802;V_ z{G$*C35mNG(@3q?pZ{81QRg9`_;fgb9!exXC}ARcUUiC~fA{AjT1e&Dhdc%^-(M6G z8fw%(mZ!tk%2YW$?WXu~1H?|BL_$(5c(Fu9e#_y9`FQ<$AitUZ22m*~+XV#beC!@| zj|0BhFBiLaF=k>o;k_MUEO{Yn>tqK9i$26r*f#-K5xqGUxWa(-QJ5IfAArLWg!|KM zV=HFgIWNCOKNaIjk+G@gSnZ`HAIUaJTiYchwv}tY1*{I*B#uiAErIB*6~-;Lpywg>?wRXZC`Nc{>*`t)RGSh^42_IDHH68O%Q8kyjrVP` zb8{;Q3^bS*JT;OZz8_ky5w3t!joO3>U0+{6Y}cMWJ(GMt#y;WnC&siTYsS*&8{{Jn zKJ1-1LNrZ0-z;bSdes*b;OS^6KE*!hxeCug6Vxa%Boc?yWehn`bF=kxuUyOAk(Ut9 zJoT5rwcEUzOFFs{x&a7TB#50mA;bprTAR^y7I*urSP7G)b$945mZmhrGDg09`Du?j zsw}(NJQJ?bxlNhjdsmJosgYOW;|50!9vnNgy^e`oYK`9T$80us;ollKk#Yj})ZIh2 z^Dj&mv{AVP=9c*?k2sIcT*XQF;SNqCx5kH@3KP;8>vjT~-ph^%VFS&0?@~aYg{rD* zdFMN@{kfO4RO&GumKx=+>abZRd5ceCCCT{A82qH8g(600B@H zy{`+G?;hPZIE@l;IBDwZ*CUKv!dQQP<)jM%bo}@Z&fQW{gU0W32uB2REt4_$TgWU= zH_4Zd5XLHAn!RgF(CyzQf%RKZkzsJYG~|3 z9_vF!u`&OgnUP4vGpLd~6e!u*SJ8qx`Ha zMa{p=g)5e(p7-n(Nzl*ibd8O4rtSXIlrCo+z({8(3qI5O3cTLN4eb+SPsodZi5tvk z9HY@_xEq32)VU_8$y!(buGaB>vVE!z>K2(8yT%%I`^L2BFlTl1T+3RY8~+d^BW@Z^ zz|OWt94r`?ji?9dOP*~7hVFPiKBE4`;`r`;ZVa%h#RthMbM4SCX-UI3^hsE}<@LG0 zC5&QDJxXg>?6H1tE3wjwvJlU7zuPs3q`KX4%U)WE?EDiV=Oe*?KqjDb61 z+RhVursL^3BK1J{e9#IkSv7j^GpNjWMR6=XgGSr*tv2Cx6$VJkIj_^Y<=$3}EgZ6( zCX%^hs2t@dD?m{%8`xS{lsdKum0IVW%wAob$Y0DSmU8TUsN!czU51}xcKv?sHXRI5 z+Q)F!VMWFCTh~E=CMMU;^&+*}$*<{wx`IPT{E_GCGtgjlZF0QpW#r)^8IbJDr(K z>g_l-;{H0Q->6Ayf6<{qzz~+(PGgKs{iQ!^H=kxKg$d0C7xAy}0y(?DO)A>Z)>7^P zRy(alM6vv{^Z{%R&cOg$EvolgCMGlK?rUq999xsHKtFeA5-^&fsU(0mfmH$}#ve@% zN7nmuv^f}XAwfYx?QGpm{5Qxjf7Uif!}L3ei`cWl&W@NmaADaQ`O;N$fk}Xu7r7u` z#>W%x+&MGrdFkzwL5L~#3PqsbU=yM_GN}bH@j%McA)~CHt?o4`$O92Z+lfE^xaQ>o zAPsB~G>!y5!joIOb}dBm!^6WM